{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Skew-T Analysis\n",
    "===============\n",
    "\n",
    "Classic skew-T/log-p plot using data from University of Wyoming.\n",
    "\n",
    "This example uses example data from the University of Wyoming sounding\n",
    "archive for 12 UTC 31 October 2016 for Minneapolis, MN (MPX) and uses\n",
    "MetPy to plot the classic skew-T with Temperature, Dewpoint, and wind\n",
    "barbs.\n",
    "\n",
    "Adopted from https://unidata.github.io/python-gallery/examples/SkewT_Example.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from metpy.plots import SkewT\n",
    "from metpy.units import pandas_dataframe_to_unit_arrays, units\n",
    "import numpy as np\n",
    "from siphon.simplewebservice.wyoming import WyomingUpperAir"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set time using a datetime object and station as variables\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dt = datetime(2016, 10, 26, 12)\n",
    "station = 'MPX'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Grab Remote Data\n",
    "----------------\n",
    "\n",
    "This requires an internet connection to access the sounding data from a\n",
    "remote server at the University of Wyoming.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>pressure</th>\n",
       "      <th>height</th>\n",
       "      <th>temperature</th>\n",
       "      <th>dewpoint</th>\n",
       "      <th>direction</th>\n",
       "      <th>speed</th>\n",
       "      <th>u_wind</th>\n",
       "      <th>v_wind</th>\n",
       "      <th>station</th>\n",
       "      <th>station_number</th>\n",
       "      <th>time</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>elevation</th>\n",
       "      <th>pw</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>984.0</td>\n",
       "      <td>287</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.2</td>\n",
       "      <td>105.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-2.897777</td>\n",
       "      <td>0.776457</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>979.0</td>\n",
       "      <td>329</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>105.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-5.795555</td>\n",
       "      <td>1.552914</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>946.3</td>\n",
       "      <td>610</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-22.216294</td>\n",
       "      <td>5.952838</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>925.0</td>\n",
       "      <td>798</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>-22.657695</td>\n",
       "      <td>10.565457</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>911.8</td>\n",
       "      <td>914</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>120.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>-23.382686</td>\n",
       "      <td>13.500000</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>20.0</td>\n",
       "      <td>26230</td>\n",
       "      <td>-55.9</td>\n",
       "      <td>-69.9</td>\n",
       "      <td>260.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>19.696155</td>\n",
       "      <td>3.472964</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>19.5</td>\n",
       "      <td>26391</td>\n",
       "      <td>-55.1</td>\n",
       "      <td>-70.1</td>\n",
       "      <td>262.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>19.805361</td>\n",
       "      <td>2.783462</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>16.6</td>\n",
       "      <td>27432</td>\n",
       "      <td>-57.1</td>\n",
       "      <td>-69.7</td>\n",
       "      <td>275.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>22.912478</td>\n",
       "      <td>-2.004582</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>15.0</td>\n",
       "      <td>28042</td>\n",
       "      <td>-58.3</td>\n",
       "      <td>-69.5</td>\n",
       "      <td>290.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.673238</td>\n",
       "      <td>-7.524443</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>14.8</td>\n",
       "      <td>28138</td>\n",
       "      <td>-58.5</td>\n",
       "      <td>-69.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MPX</td>\n",
       "      <td>72649</td>\n",
       "      <td>2016-10-26 12:00:00</td>\n",
       "      <td>44.85</td>\n",
       "      <td>-93.56</td>\n",
       "      <td>287.0</td>\n",
       "      <td>24.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>128 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     pressure  height  temperature  dewpoint  direction  speed     u_wind  \\\n",
       "0       984.0     287          6.6       6.2      105.0    3.0  -2.897777   \n",
       "1       979.0     329          6.4       5.4      105.0    6.0  -5.795555   \n",
       "2       946.3     610          4.6       4.0      105.0   23.0 -22.216294   \n",
       "3       925.0     798          3.4       3.0      115.0   25.0 -22.657695   \n",
       "4       911.8     914          2.8       2.4      120.0   27.0 -23.382686   \n",
       "..        ...     ...          ...       ...        ...    ...        ...   \n",
       "123      20.0   26230        -55.9     -69.9      260.0   20.0  19.696155   \n",
       "124      19.5   26391        -55.1     -70.1      262.0   20.0  19.805361   \n",
       "125      16.6   27432        -57.1     -69.7      275.0   23.0  22.912478   \n",
       "126      15.0   28042        -58.3     -69.5      290.0   22.0  20.673238   \n",
       "127      14.8   28138        -58.5     -69.5        NaN    NaN        NaN   \n",
       "\n",
       "        v_wind station  station_number                time  latitude  \\\n",
       "0     0.776457     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "1     1.552914     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "2     5.952838     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "3    10.565457     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "4    13.500000     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "..         ...     ...             ...                 ...       ...   \n",
       "123   3.472964     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "124   2.783462     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "125  -2.004582     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "126  -7.524443     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "127        NaN     MPX           72649 2016-10-26 12:00:00     44.85   \n",
       "\n",
       "     longitude  elevation     pw  \n",
       "0       -93.56      287.0  24.32  \n",
       "1       -93.56      287.0  24.32  \n",
       "2       -93.56      287.0  24.32  \n",
       "3       -93.56      287.0  24.32  \n",
       "4       -93.56      287.0  24.32  \n",
       "..         ...        ...    ...  \n",
       "123     -93.56      287.0  24.32  \n",
       "124     -93.56      287.0  24.32  \n",
       "125     -93.56      287.0  24.32  \n",
       "126     -93.56      287.0  24.32  \n",
       "127     -93.56      287.0  24.32  \n",
       "\n",
       "[128 rows x 15 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read remote sounding data based on time (dt) and station\n",
    "df = WyomingUpperAir.request_data(dt, station)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pressure': array([984. , 979. , 946.3, 925. , 911.8, 888. , 878.1, 867. , 850. ,\n",
       "        818. , 814.2, 790. , 783.9, 766. , 754.9, 726.7, 700. , 699.6,\n",
       "        694. , 648.1, 645. , 636. , 623.7, 623. , 599.8, 570. , 554.6,\n",
       "        539. , 533. , 500. , 496. , 492. , 472.5, 463. , 456. , 448. ,\n",
       "        431. , 417.5, 404. , 400. , 390. , 383.6, 377. , 373. , 367. ,\n",
       "        340. , 326. , 313. , 307.9, 305. , 300. , 294.3, 293. , 275. ,\n",
       "        258. , 256.5, 250. , 249. , 236. , 222. , 208. , 203. , 201.7,\n",
       "        200. , 191. , 177. , 169. , 165.6, 163. , 157.6, 156. , 150. ,\n",
       "        139. , 136. , 133. , 123.3, 120. , 118. , 117.3, 117. , 115. ,\n",
       "        109. , 105. , 100. ,  90.6,  88.3,  83.5,  83.1,  72.1,  71.7,\n",
       "         70.8,  70. ,  65.4,  65. ,  61.9,  58.9,  55.1,  53.4,  50. ,\n",
       "         48.4,  47.2,  46. ,  44.7,  43.8,  41.7,  41.6,  39.7,  37.8,\n",
       "         34.3,  32.6,  32.2,  31.1,  30.5,  30. ,  29.6,  28.8,  28.2,\n",
       "         26.8,  26.1,  24.3,  22.1,  21.2,  21.1,  20. ,  19.5,  16.6,\n",
       "         15. ,  14.8]) <Unit('hectopascal')>,\n",
       " 'height': array([  287,   329,   610,   798,   914,  1128,  1219,  1322,  1482,\n",
       "         1791,  1829,  2072,  2134,  2320,  2438,  2743,  3044,  3048,\n",
       "         3113,  3658,  3696,  3807,  3962,  3970,  4267,  4665,  4877,\n",
       "         5097,  5182,  5670,  5731,  5791,  6096,  6248,  6362,  6493,\n",
       "         6778,  7010,  7248,  7320,  7501,  7620,  7742,  7818,  7932,\n",
       "         8464,  8754,  9033,  9144,  9208,  9320,  9449,  9480,  9904,\n",
       "        10325, 10363, 10530, 10556, 10900, 11288, 11696, 11847, 11887,\n",
       "        11940, 12226, 12696, 12981, 13106, 13204, 13411, 13475, 13720,\n",
       "        14192, 14326, 14465, 14935, 15101, 15205, 15240, 15257, 15364,\n",
       "        15696, 15928, 16230, 16839, 16998, 17345, 17374, 18256, 18288,\n",
       "        18369, 18440, 18863, 18898, 19202, 19507, 19921, 20117, 20520,\n",
       "        20726, 20878, 21031, 21216, 21336, 21641, 21660, 21946, 22250,\n",
       "        22860, 23165, 23249, 23470, 23587, 23690, 23774, 23943, 24079,\n",
       "        24384, 24557, 24994, 25603, 25862, 25908, 26230, 26391, 27432,\n",
       "        28042, 28138]) <Unit('meter')>,\n",
       " 'temperature': array([  6.6,   6.4,   4.6,   3.4,   2.8,   1.6,   2. ,   2.4,   1.8,\n",
       "          0.6,   0.8,   1.8,   1.5,   0.6,   0.5,   0.2,  -0.1,  -0.1,\n",
       "         -0.1,  -2.7,  -2.9,  -3.5,  -4.5,  -4.5,  -6. ,  -8.1,  -9.4,\n",
       "        -10.7, -11.3, -14.9, -15.3, -15.7, -17.7, -18.7, -19.9, -20.7,\n",
       "        -23.1, -25.1, -27.1, -27.5, -29.3, -30.4, -31.5, -32.3, -32.9,\n",
       "        -37.1, -38.3, -40.5, -41.4, -41.9, -42.9, -43.7, -43.9, -47.5,\n",
       "        -50.7, -51. , -52.5, -52.7, -55.1, -57.3, -60.3, -60.1, -60.3,\n",
       "        -60.5, -62.5, -62.5, -63.5, -63.5, -63.5, -61.4, -60.7, -60.1,\n",
       "        -61.7, -61. , -60.3, -61.9, -62.5, -62.1, -61.4, -61.1, -60.7,\n",
       "        -61.3, -60.5, -61.3, -63.7, -61.7, -60.3, -60.4, -62.1, -61.7,\n",
       "        -60.7, -60.9, -60.9, -61. , -61.9, -62.7, -63.9, -63.1, -61.5,\n",
       "        -60.9, -60.5, -60.7, -60.9, -61.6, -63.4, -63.5, -62.7, -61.8,\n",
       "        -60. , -59.1, -58.9, -60.3, -61.1, -60.5, -60.7, -61.1, -60.4,\n",
       "        -58.8, -57.9, -57.9, -57.9, -57.9, -57.6, -55.9, -55.1, -57.1,\n",
       "        -58.3, -58.5]) <Unit('degree_Celsius')>,\n",
       " 'dewpoint': array([  6.2,   5.4,   4. ,   3. ,   2.4,   1.3,   1.8,   2.4,   1.7,\n",
       "          0.5,   0.7,   1.8,   1.4,   0.2,   0.1,  -0.3,  -0.6,  -0.6,\n",
       "         -0.5,  -3.1,  -3.3,  -5.8,  -5.8,  -5.8,  -7.8, -10.4, -11. ,\n",
       "        -11.6, -12.4, -17. , -17.8, -18.1, -19.9, -20.7, -23.9, -23.3,\n",
       "        -26. , -27.2, -28.4, -31.8, -35.3, -36.4, -37.5, -43.3, -49.9,\n",
       "        -52.1, -55.3, -55.5, -53.2, -51.9, -53.9, -55.5, -55.9, -54.5,\n",
       "        -57.7, -57.9, -58.5, -57.7, -60.1, -66.3, -68.3, -68.1, -68.7,\n",
       "        -69.5, -70.5, -71.5, -73.5, -74.6, -75.5, -75.7, -75.7, -77.1,\n",
       "        -79.7, -79.5, -79.3, -80.2, -80.5, -81.1, -80.4, -80.1, -79.7,\n",
       "        -79.3, -79.5, -79.3, -81.7, -80.7, -79.3, -79.3, -80.1, -80. ,\n",
       "        -79.7, -78.9, -78.9, -78.9, -79.2, -79.5, -79.9, -79.4, -78.5,\n",
       "        -77.9, -77.5, -77.2, -76.9, -77.1, -77.5, -77.5, -76.8, -76.2,\n",
       "        -74.8, -74.1, -73.9, -74.7, -75.1, -74.5, -74.7, -75.1, -74.6,\n",
       "        -73.5, -72.9, -72.9, -72.9, -72.9, -72.5, -69.9, -70.1, -69.7,\n",
       "        -69.5, -69.5]) <Unit('degree_Celsius')>,\n",
       " 'direction': array([105., 105., 105., 115., 120., 134., 140., 144., 150., 159., 160.,\n",
       "        124., 115., 118., 120.,  90., 145., 165., 176., 265., 269., 280.,\n",
       "        295., 295., 290., 284., 280., 276., 275., 290., 293., 295., 290.,\n",
       "        288., 287., 286., 283., 280., 276., 275., 275., 275., 272., 270.,\n",
       "        267., 253., 245., 238., 235., 235., 235., 230., 229., 220., 211.,\n",
       "        210., 210., 210., 214., 218., 223., 225., 225., 230., 240., 259.,\n",
       "        270., 275., 280., 290., 290., 290., 282., 280., 282., 290., 295.,\n",
       "        299., 300., 300., 299., 298., 297., 295., 300., 302., 305., 305.,\n",
       "        310., 310., 310., 310., 292., 290., 275., 300., 300., 300., 305.,\n",
       "        305., 288., 270., 279., 285., 295., 296., 310., 285., 300., 310.,\n",
       "        298., 265., 268., 270., 270., 292., 310., 305., 304., 300., 265.,\n",
       "        265., 265., 260., 262., 275., 290.,  nan]) <Unit('degree')>,\n",
       " 'speed': array([ 3.,  6., 23., 25., 27., 34., 37., 34., 29., 18., 17., 15., 14.,\n",
       "        15., 15., 10.,  4.,  4.,  5., 11., 11., 12., 13., 13., 14., 16.,\n",
       "        17., 18., 19., 24., 26., 27., 21., 20., 20., 19., 18., 17., 21.,\n",
       "        22., 24., 25., 26., 27., 29., 35., 38., 42., 43., 44., 47., 51.,\n",
       "        51., 51., 52., 52., 53., 53., 54., 56., 57., 58., 58., 56., 50.,\n",
       "        44., 40., 38., 42., 49., 47., 41., 44., 45., 47., 55., 50., 47.,\n",
       "        46., 46., 45., 42., 40., 37., 44., 46., 50., 50., 35., 34., 32.,\n",
       "        30., 27., 27., 40., 38., 41., 43., 39., 39., 30., 21., 25., 27.,\n",
       "        34., 33., 25., 18., 32., 19., 20., 21., 25., 28., 28., 22., 17.,\n",
       "        11., 12., 15., 21., 25., 26., 20., 20., 23., 22., nan]) <Unit('knot')>,\n",
       " 'u_wind': array([ -2.89777748,  -5.79555496, -22.216294  , -22.65769468,\n",
       "        -23.3826859 , -24.45755321, -23.78314156, -19.98469858,\n",
       "        -14.5       ,  -6.45062309,  -5.81434244, -12.43556359,\n",
       "        -12.68830902, -13.24421389, -12.99038106, -10.        ,\n",
       "         -2.29430575,  -1.03527618,  -0.34878237,  10.95814168,\n",
       "         10.99832465,  11.81769304,  11.78200123,  11.78200123,\n",
       "         13.15569669,  15.52473162,  16.7417318 ,  17.90139412,\n",
       "         18.92769926,  22.5526229 ,  23.93312619,  24.47031025,\n",
       "         19.73354504,  19.02113033,  19.12609512,  18.26397222,\n",
       "         17.53866117,  16.7417318 ,  20.8849598 ,  21.91628336,\n",
       "         23.90867275,  24.90486745,  25.9841615 ,  27.        ,\n",
       "         28.96025651,  33.47066646,  34.43969591,  35.61802004,\n",
       "         35.2235379 ,  36.04268995,  38.50014608,  39.0682666 ,\n",
       "         38.49018859,  32.78216809,  26.7819799 ,  26.        ,\n",
       "         26.5       ,  26.5       ,  30.19641679,  34.47704262,\n",
       "         38.87390652,  41.01219331,  41.01219331,  42.89848881,\n",
       "         43.30127019,  43.19159607,  40.        ,  37.85539853,\n",
       "         41.36192563,  46.04493842,  44.16555318,  38.52739745,\n",
       "         43.03849443,  44.31634889,  45.97293723,  51.68309414,\n",
       "         45.31538935,  41.10712624,  39.83716857,  39.83716857,\n",
       "         39.35788682,  37.0837989 ,  35.64026097,  33.53338812,\n",
       "         38.10511777,  39.01021242,  40.95760221,  40.95760221,\n",
       "         26.81155551,  26.04551107,  24.51342218,  22.98133329,\n",
       "         25.03396407,  25.37170076,  39.84778792,  32.90896534,\n",
       "         35.50704156,  37.23909236,  31.94692973,  31.94692973,\n",
       "         28.53169549,  21.        ,  24.69220851,  26.07999731,\n",
       "         30.81446476,  29.66020353,  19.15111108,  17.38666487,\n",
       "         27.71281292,  14.55484442,  17.65895186,  20.92008866,\n",
       "         24.98477068,  28.        ,  28.        ,  20.3980448 ,\n",
       "         13.02275553,   9.01067249,   9.94845087,  12.99038106,\n",
       "         20.92008866,  24.90486745,  25.90106215,  19.69615506,\n",
       "         19.80536137,  22.91247806,  20.67323766,          nan]) <Unit('knot')>,\n",
       " 'v_wind': array([ 7.76457135e-01,  1.55291427e+00,  5.95283804e+00,  1.05654565e+01,\n",
       "         1.35000000e+01,  2.36183846e+01,  2.83436444e+01,  2.75065778e+01,\n",
       "         2.51147367e+01,  1.68044477e+01,  1.59747746e+01,  8.38789355e+00,\n",
       "         5.91665566e+00,  7.04207344e+00,  7.50000000e+00, -6.12323400e-16,\n",
       "         3.27660818e+00,  3.86370331e+00,  4.98782025e+00,  9.58713170e-01,\n",
       "         1.91976471e-01, -2.08377813e+00, -5.49403740e+00, -5.49403740e+00,\n",
       "        -4.78828201e+00, -3.87075033e+00, -2.95201902e+00, -1.88151234e+00,\n",
       "        -1.65595911e+00, -8.20848344e+00, -1.01590093e+01, -1.14106931e+01,\n",
       "        -7.18242301e+00, -6.18033989e+00, -5.84743409e+00, -5.23710976e+00,\n",
       "        -4.04911898e+00, -2.95201902e+00, -2.19509773e+00, -1.91742634e+00,\n",
       "        -2.09173783e+00, -2.17889357e+00, -9.07386914e-01,  4.95981954e-15,\n",
       "         1.51774273e+00,  1.02330097e+01,  1.60594939e+01,  2.22566091e+01,\n",
       "         2.46637868e+01,  2.52373632e+01,  2.69580925e+01,  3.27821681e+01,\n",
       "         3.34590105e+01,  3.90682666e+01,  4.45726996e+01,  4.50333210e+01,\n",
       "         4.58993464e+01,  4.58993464e+01,  4.47680289e+01,  4.41286022e+01,\n",
       "         4.16871610e+01,  4.10121933e+01,  4.10121933e+01,  3.59961061e+01,\n",
       "         2.50000000e+01,  8.39559580e+00,  7.34788079e-15, -3.31191822e+00,\n",
       "        -7.29322346e+00, -1.67589870e+01, -1.60749467e+01, -1.40228259e+01,\n",
       "        -9.14811440e+00, -7.81416800e+00, -9.77184947e+00, -1.88111079e+01,\n",
       "        -2.11309131e+01, -2.27860522e+01, -2.30000000e+01, -2.30000000e+01,\n",
       "        -2.18164329e+01, -1.97178056e+01, -1.81596200e+01, -1.56368757e+01,\n",
       "        -2.20000000e+01, -2.43762862e+01, -2.86788218e+01, -2.86788218e+01,\n",
       "        -2.24975663e+01, -2.18547787e+01, -2.05692035e+01, -1.92836283e+01,\n",
       "        -1.01143780e+01, -9.23454387e+00, -3.48622971e+00, -1.90000000e+01,\n",
       "        -2.05000000e+01, -2.15000000e+01, -2.23694810e+01, -2.23694810e+01,\n",
       "        -9.27050983e+00,  3.85763742e-15, -3.91086163e+00, -6.98811422e+00,\n",
       "        -1.43690209e+01, -1.44662478e+01, -1.60696902e+01, -4.65874281e+00,\n",
       "        -1.60000000e+01, -1.22129646e+01, -9.38943126e+00,  1.83027060e+00,\n",
       "         8.72487418e-01,  5.14351656e-15,  5.14351656e-15, -8.24134506e+00,\n",
       "        -1.09273894e+01, -6.30934080e+00, -6.71031484e+00, -7.50000000e+00,\n",
       "         1.83027060e+00,  2.17889357e+00,  2.26604931e+00,  3.47296355e+00,\n",
       "         2.78346202e+00, -2.00458208e+00, -7.52444315e+00,             nan]) <Unit('knot')>,\n",
       " 'station': array(['MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX', 'MPX',\n",
       "        'MPX', 'MPX'], dtype=object),\n",
       " 'station_number': array([72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649, 72649,\n",
       "        72649, 72649]),\n",
       " 'time': array(['2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
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       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
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       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000',\n",
       "        '2016-10-26T12:00:00.000000000', '2016-10-26T12:00:00.000000000'],\n",
       "       dtype='datetime64[ns]'),\n",
       " 'latitude': array([44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85, 44.85,\n",
       "        44.85, 44.85]) <Unit('degree')>,\n",
       " 'longitude': array([-93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
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       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56,\n",
       "        -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56, -93.56]) <Unit('degree')>,\n",
       " 'elevation': array([287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287., 287., 287., 287., 287.,\n",
       "        287., 287., 287., 287., 287., 287., 287.]) <Unit('meter')>,\n",
       " 'pw': array([24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32, 24.32,\n",
       "        24.32, 24.32]) <Unit('millimeter')>}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create dictionary of united arrays\n",
    "data = pandas_dataframe_to_unit_arrays(df)\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Isolate variables and attach units\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[984.0 979.0 946.3 925.0 911.8 888.0 878.1 867.0 850.0 818.0 814.2 790.0<br> 783.9 766.0 754.9 726.7 700.0 699.6 694.0 648.1 645.0 636.0 623.7 623.0<br> 599.8 570.0 554.6 539.0 533.0 500.0 496.0 492.0 472.5 463.0 456.0 448.0<br> 431.0 417.5 404.0 400.0 390.0 383.6 377.0 373.0 367.0 340.0 326.0 313.0<br> 307.9 305.0 300.0 294.3 293.0 275.0 258.0 256.5 250.0 249.0 236.0 222.0<br> 208.0 203.0 201.7 200.0 191.0 177.0 169.0 165.6 163.0 157.6 156.0 150.0<br> 139.0 136.0 133.0 123.3 120.0 118.0 117.3 117.0 115.0 109.0 105.0 100.0<br> 90.6 88.3 83.5 83.1 72.1 71.7 70.8 70.0 65.4 65.0 61.9 58.9 55.1 53.4<br> 50.0 48.4 47.2 46.0 44.7 43.8 41.7 41.6 39.7 37.8 34.3 32.6 32.2 31.1<br> 30.5 30.0 29.6 28.8 28.2 26.8 26.1 24.3 22.1 21.2 21.1 20.0 19.5 16.6<br> 15.0 14.8]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>hectopascal</td></tr></tbody></table>"
      ],
      "text/latex": [
       "$\\begin{pmatrix}984.0 & 979.0 & 946.3 & 925.0 & 911.8 & 888.0 & 878.1 & 867.0 & 850.0 & 818.0 & 814.2 & 790.0 & 783.9 & 766.0 & 754.9 & 726.7 & 700.0 & 699.6 & 694.0 & 648.1 & 645.0 & 636.0 & 623.7 & 623.0 & 599.8 & 570.0 & 554.6 & 539.0 & 533.0 & 500.0 & 496.0 & 492.0 & 472.5 & 463.0 & 456.0 & 448.0 & 431.0 & 417.5 & 404.0 & 400.0 & 390.0 & 383.6 & 377.0 & 373.0 & 367.0 & 340.0 & 326.0 & 313.0 & 307.9 & 305.0 & 300.0 & 294.3 & 293.0 & 275.0 & 258.0 & 256.5 & 250.0 & 249.0 & 236.0 & 222.0 & 208.0 & 203.0 & 201.7 & 200.0 & 191.0 & 177.0 & 169.0 & 165.6 & 163.0 & 157.6 & 156.0 & 150.0 & 139.0 & 136.0 & 133.0 & 123.3 & 120.0 & 118.0 & 117.3 & 117.0 & 115.0 & 109.0 & 105.0 & 100.0 & 90.6 & 88.3 & 83.5 & 83.1 & 72.1 & 71.7 & 70.8 & 70.0 & 65.4 & 65.0 & 61.9 & 58.9 & 55.1 & 53.4 & 50.0 & 48.4 & 47.2 & 46.0 & 44.7 & 43.8 & 41.7 & 41.6 & 39.7 & 37.8 & 34.3 & 32.6 & 32.2 & 31.1 & 30.5 & 30.0 & 29.6 & 28.8 & 28.2 & 26.8 & 26.1 & 24.3 & 22.1 & 21.2 & 21.1 & 20.0 & 19.5 & 16.6 & 15.0 & 14.8\\end{pmatrix}\\ \\mathrm{hectopascal}$"
      ],
      "text/plain": [
       "array([984. , 979. , 946.3, 925. , 911.8, 888. , 878.1, 867. , 850. ,\n",
       "       818. , 814.2, 790. , 783.9, 766. , 754.9, 726.7, 700. , 699.6,\n",
       "       694. , 648.1, 645. , 636. , 623.7, 623. , 599.8, 570. , 554.6,\n",
       "       539. , 533. , 500. , 496. , 492. , 472.5, 463. , 456. , 448. ,\n",
       "       431. , 417.5, 404. , 400. , 390. , 383.6, 377. , 373. , 367. ,\n",
       "       340. , 326. , 313. , 307.9, 305. , 300. , 294.3, 293. , 275. ,\n",
       "       258. , 256.5, 250. , 249. , 236. , 222. , 208. , 203. , 201.7,\n",
       "       200. , 191. , 177. , 169. , 165.6, 163. , 157.6, 156. , 150. ,\n",
       "       139. , 136. , 133. , 123.3, 120. , 118. , 117.3, 117. , 115. ,\n",
       "       109. , 105. , 100. ,  90.6,  88.3,  83.5,  83.1,  72.1,  71.7,\n",
       "        70.8,  70. ,  65.4,  65. ,  61.9,  58.9,  55.1,  53.4,  50. ,\n",
       "        48.4,  47.2,  46. ,  44.7,  43.8,  41.7,  41.6,  39.7,  37.8,\n",
       "        34.3,  32.6,  32.2,  31.1,  30.5,  30. ,  29.6,  28.8,  28.2,\n",
       "        26.8,  26.1,  24.3,  22.1,  21.2,  21.1,  20. ,  19.5,  16.6,\n",
       "        15. ,  14.8]) <Unit('hectopascal')>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Isolate united arrays from dictionary to individual variables\n",
    "p = data['pressure']\n",
    "T = data['temperature']\n",
    "Td = data['dewpoint']\n",
    "u = data['u_wind']\n",
    "v = data['v_wind']\n",
    "\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make Skew-T Plot\n",
    "----------------\n",
    "\n",
    "The code below makes a basic skew-T plot using the MetPy plot module\n",
    "that contains a SkewT class.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rFYiJ8ftSaejuBmpqgKOOApKTA79eC4yNAdu2AcXFcObnY8eOHUhKSkJ5eTk4B7ZvB+LjgSVLNByTwwFs3gwkJAAr5badUx4Tra3Y/8YbKPzyl5GWkRH4DzzQ1QXU1gLLlgFB/ql/jIzQF6QD2Gw2VFVVYUN+PqLb29FXlIFz3/kmmg414f6z78eNa28M7wDr6mjjUVEh6eW1tXSbZmYq8/YNDQ3o7+/H2rVrae6ZnKQbzGoFjj56dlMUdnR2Ak1NwDHH0NhCBefA+vWAwQDU1wNeNqVOpxPbt29HamoqSktLFx6juhro6QFWrQJSUkIfk5LgfMF3J6b60lIgXwHrbbvdji1btmDVqlVI8ff5bTZg3z46RytWhPWaYowhMTERtbt34xsXXoiLTjkF5992GxAlp2PV7DGV7EChS+gpDNHNGMsGANf/e1yPH8RcB+o8kDO+f5jNgNMJ9PbOPhQMIQOIG+zbB3R465QpB+npRBA7OxU6oAKIjQVSUuBsb8eObdtmCRlA93NSEk0wk1q6lBmNQF4eTTCjo4FfrwEmJiawvaoKZVlZSJNxMjIzgcJCwE+QQB4EIZue9v86lTFLyDZsQHRJCZpNIzju2TOxp3sPnr/4+fATMoDuvUOHaKclAUuWqEjIACInlZVATo5+CBlAN73TSURICc3xCy8Q+fz5z+URMoDOU1wc0K6zjm/T08DOnUQYPZCZCeTm0pBDhWRCBgCpqUB5Oc2d9fX+X6sBrrrqKiA2Fk+9+SZ2VFcDo6OoqfHqwxuBC3oiZf8BNZaF6/8veTz+dcaYhTFWDKAcwNaARzMYKLzVTV1JgiVkAM3haWl0vzmViEIbDEBWFhHFMC+innDm5KB+3z6kOp2zhEwgL4/+rxgxlYrcXPoCWsO/MZqYmMDmzZuxZONGJBYXA21twMxMUMdgDCgu9romhY6REYos2mwqHDww5hCy6Gjs6tqNYzdfh17HCN65/G1csOSCsIxrAYqLgehoipg5pNUJcU7Xfij7KK+ETCAtDcjOdr+ZHhAdTSRoeBhobg7tWDMzwA9/SCHiyy9f8LQkQgbQRm3lSl1FzgHQuAwGCquOzG31WF4eekIkKEImkJNDO8DOzrDNnyJNf9VVV8HhuteuvPNOTMbGYtmyZbDb5zcriEAgXJYY/wDwOYBKxthBxtg1AO4GcBpj7ACordHdAOByBf4XgGpQa41vSa68zMwEpqfR1NAQNCETyMoi/qTYepeXR2kBL1q3cMDpdGJHczOijjoKJRs2LHg+OprWjUOHJK9jysBkImI2NBQ0AVISgpCtWLECaWlptLBPT8vesY+NUfRV0Y8UG0tsr7FRod2DdMwnZO80vYOTHj8JZmMUPrnmUxxXeLym4/ELg4HCXxMTlJ6TAMbo3m9ooD8LFn4JmSd6eymaFMZrfQ4yMmhxb2sLbfJ74gkiwXfdRQTGA5IJmYDFQt/hzAxw8KD8MSkJgwFYvpxSclVVC1IKnNOlJme4sgiZQHExLV5hWmc+//xzAMDq1avx7rvUmrS0ogIvv0xdsaIbG/HJxx8jOvrw0ZhqhXBVX17COc/mnJs553mc80c45zbO+Smc83LX//s9Xv8rznkp57zS1SZEGgoK0JSail6bTRYhA2inY7EomHG0WpWJaSsAp9M5qyEr2bSJJhgvyM+neXBehF59FBQAGzbM0QRqiQWEDKB0YUYGzbIyFlDOgb4+WusUg8FA4pXxcWLPGmE+Ift71d9x9tNnoyipCJ9f8zmWpS+ji2b3bv1EgRITaWPU3S05Wi0kaHV1/l83H5IJGUCTzPg4cOBAcG+iJsrK6HqXq12w24Gf/QzYuBE477w5TwVNyDzR3U0sWS/ELCqKInhC7+Kxe2WMvtamJvq/VIREyASWLCFiDWi+WXv88cdnf3/ssccWPt7Xhx/cfjsm5Ox0jnDoKX2pOJqamylCdswxsistGaMNx/i4gtf11BSpQAcHFTpg8PAkZLMpy64ur4tCQgKwejWdB01hNNIP55pHELwSMoHiYhIcyyCLcXEUwD14UGGdXmoqiXtbWjRJjc8nZL//7Pe47IXLcGz+sfjo6o+Qm+AqkDYY6DrXywIK0Pe3bp3kKILVSpx3YED65iwoQgbQTVZYSIRD892PDxgMVIAgFvZg8de/0vd+991zNHMhETKAxpOWRpHhMM6hcxAbSylap3PBXFVR4c5wStmbKELIPDEwQPKGsbHQjyURnqTsmWeemf391VdfRWxsLFBcjI937EDm/Lk1giOXlE1OThIhKy+H4fPPQxKMi4CNYu4MJhPQ3x8GoRbBKyEDKD/T0eF1S5eUFCYtMufAjh20M9YIfgkZQDndEBT7xcX0/1DlOgtQVka7dJW1ZZ6EzGK14Dtvfgffffu7+Oqyr+KNy99AkjXJ/eK0NPppaZGX/1MDRqNb3Dc8LOlPsrPpHmhsDLw/CJqQCRQWEjmrr9e4ssYPxE3f1xecPmloiFKWZ54JnHTS7MMhEzIxpiVL6D6srtbPuUpNBdauXSAcjYoifdnwcOC9ieKEDCBtNWPA3r2anavp6Wl8+ctfnv33N77xjdnfr7rqKrrWAVx12mm60A3rCUcsKZuZmaGUZXw87V5cgn85MBrpmlYsAyME/319FDXTED4JGUA7UIPB58xx6BDd15rCswRUA3FoQELmicZG2v4GCauVMmhdXQoXl8bEUKpIxZCmJyEzmA247IXL8MfNf8St62/FMxc9A6vJi4VCWRn9X0NiLQkHD1Ll3NBQwJcyRtr35cv9B0hlEzLxJkuXunPcekJ/P+0ipBL+3/2O/uauu2YfUoSQCZhMZPngcOiiynAWjNF6U1MzJ+KZmUl7k9ZW36ReFUIGEElcuZLeeO9ezbIOV1111ezvV1999Rzxv9OVdrr68sslL6y9Hk4KRzKOWFIWGxtLk6LZTGmdnp6QWNXICPD555I31oGRnU3j6epS6ICB4ZeQAbSly8ykMflIgfX3hyFjkJ9Pk52iQqyFCIqQATQmmcyqoAAoKaHNvqIQu/RgBCwS4UnIptgUznr6LDyz7xn8+tRf454z74GB+ZhOrFagqIiIhmI3kALIzqax1dVJ0iZER7ur6bytayERMs83Wb+eilz0hLIyyr3X1gaOtnR3A3/8I/D1rwNr1gBQmJAJxMQQMZPoO6cpJifpXHlc7xUVdDq8kXrVCJlAXBydq/FxYP9+VTVm7a4iqLPOOmvW/uKkk07Ctm3bAADHHHMM3n//fQBA5Vln0dwA+B1Tb28vqqurVRuznnDEkrI5yMykmyQENhETQ5syxQT/MTEUAers1EQEHZCQCeTl0c3hRTAuink0twqyWGgB7epSLQUWNCEDiFmZTLLykCYT/fm8gjRlMDgIbN2qaLTFk5ANzAzgxMdPxMdtH+PJC57E9477XuDuD3l5JExMSFBsTCHDaKTw1/h4UN9hZyewZcvcILcihExAEOuREd349MFgcGumAvmX/epXNN/+4hcAVCJkAqISi/MFlhRhg2dF5r59syQ2KoqkZ8DcaUx1QiaQnEzXe3S0qlqUelfkcsOGDXjggQcAAAaDYVZnxhhza87EOEZHSffWP7/7opuQbfDiDnAkYnGQsrQ0moBDTGGmp1PlumLWEHl5NDaVK2MkEzKAZo2CAq8u8QYDbeBtNlUCMf4hbLFViCzKImSAm1nZbJJSYN7Q308bV0V5eWIifY8KWWR4ErLWsVYc+8ixaOxvxKuXvopvHPWNwAcA3GloQFcefUhOprT9wYOSo3iJiXOzZooSMgHO6cKoqdG8cs4nYmIo3DM0NMeUew6am4EHHgCuvRYoK1OXkHmitRXYtUs/kViz2V2RWVU1Z9E4eJD2TOPjGhIygaws+g4ZU83j6JRTTsF9992HXbt24d577wUAOByOOeL/p556au4fWa3EWvfvn/MdehIyqw5aR2mBxUHKDAbaIQgnVJnIyqK0hWIBiLQ0KutSJVxCCIqQCZSU+GxlkptLp1PzaJloReMSiCoF2YRMIDeXJhOZqv2ZGVrfFC24Y4zSTXZ7yFWPnoSsa6ILJz52Iuwzdnx41Yc4vfT04A/Y10c6AL1EgAC63hMSJJOfmBgq1ujrA7ZsaVaekAHudlBjY0Su9YLMTMrBeesV9sknwDnn0Gblxz/WjpAB7vtw/37Ndbo+ERtLEbPJyTl62IwMmkP37JnA5s0aEjJPTExQez2VusvcfPPN4JzjwgsvBACYTCbY7Xace+65s6+55JJL3H9gMlFFe1QU6d7GxhYlIQMWCykD6E4I0R8sMZG4gaLBGtFgU4WJRBYhE5ia8lodajZTJZHm9hgARe8UrLgImZABRKiXLpXdHDQ9nT5WU5PCAZHkZLeyWOa1NV9Ddu4/zsW0cxofXvUhjsk5Rt64EhPpnNXX68e7zGQioiEieRKQlwcMDbVj7147Vq1SmJAJpKTQG3V0eE3rhA2i8nh8nAiHzUaRsRNOIBL54otwZmVpR8gAmphWrKAorFLtoZRASgoV33isPVFRQF6eHVu21CItbbX2hAyglG9MDN2HKl5bzz33HBwOB77+9a8DAF555ZXZ6NnVV18998VRUdQX2mDAwIcfomb37kVHyIDFRMoACouGYEMhAhAFBQqOaWIC2LNH8bRcSIQMoIn2wAGvfQKzs1Xo4SgVNhtpD0IksYoQMoHkZNmNmxmjYOnkpAoOKaWl9AYyUjqehMxsMePi5y5Gva0eL1z8ApakhdCd3mymm2h4WF89YAFixc3NkrRJjY0NSErqRkXFEoyOqjiNlpRQxKW2Vl9pX6eT0oW/+Q1tSB5/HPje94DqajhPPVVbQiYQF0cZkcFByR0bNIHIhLS1Ad3dsNvtaGnZgnXrijEwkKS9FASgeWH5crq29u9XVY9nMBjwj3/8A3a7HRs2bMBtt90GABj0pvG2WtGbk4MDfX1Yf9xxi46QAYuNlPX2Ull+CJNbWlro/czmIDqaduiHDim2uwuZkAGUpjCbfaa/JiboVGraegmg8zU5GVJaTlFCJiDKzWXoFpOSyOKotVXhdTc6Gti0iS7aIOBJyKxWK257/Ta81fgW7j/nfnyh+Auhjyszkz50U5N+Uk0AEY2uLiJAfsKWQkN2wglH47jjDMGe3uBgMFAkNicnbJ0tvKK+nkjYT35Cu9Rdu4Bf/xrO6OjwEDKBzEzKLaena//e/sA50N+Pyb17sf2997Bq1SqsW5cIiyWM9n1GI6UMzWbSvak8EKvVis2bN8PmslW5+OKLwRjDp59+Ovua3t5eVLe2YtXFF8MaE0Pzql5aj2mExUXKMjPp5gjR78RuJy9MxSLkOTl0Q3iJSgULRQgZEFDVL3iRho4ehJgYSkV3dMhiMKoQMoAmuKkpirTIyEOWlFBaWPF1V+zSJVYez3fq//PWP+Ov2/+K7276Lq49+lrlxlVRQTeQzAIJVWAyuXVcPgwt54v6xfdls6kYyIqLI9sARc0SZcJuJyK2ahWlCf/3f4Hf/hbIzdVWQ+YPwoQX0M+CzhjsJSXYd+AAjjIakRITg6gocj8JR/ZyFqJFVEKCZqQ/JSUFnHO0tLQAAI4//ngwxvDZZ5/N1ZBxTlmkffv0U+yiARYXKYuLo3BtCFWYAGVeWloUXE/S0mi3EmI6RzFCJuDHTDYxke7jgwfDsE4UFlKILshomWqEDKAFs6SEyLWM7zE2lvYMqlSq22zUfzJANcF8QvZq/au4/c3bcX7l+bj71LuVHZMwutVbRCM1lQSTbW0LUjq+qiwnJmjdUN0bd3iYyvY0MFH2irffpgX8F78AvvY1iij+8IdAfDyc+/djx2efhZ+QeaKtjZq86yDta7fbsWXnThSfdx4S4uJme2QKnu2jkYo2iI0lPZ7JRORHQQL0ySefoM5H09jCwkJwzrFr1y4AwHHHHYfTTjvNndZkjKruBwf1pRNUGYuLlAG08g0NhRSqFQ4bikWJhMP/yIjsG0JxQgbQLkqUnHpBfj6tD5qbj8fG0mLe0SE5f6oqIRNISaG0XGur7LxuR4cKBuUpKbQh8VNNMJ+QVXVX4evPfx1HZR6Fp7/yNIwGFSqERe/JgQF97YTLymhsHl+EP9sLq9XdtlLVDlcWCxGMmhptF6iuLuDSS4HTT6e56p13gL/9jeZSoxHOpUtR1duLlMxM/RAygO5F0Wc4jAv6HNuLvDzyexsfn41eT09TgL2uLsy8g3OSYEht0ikBJ5xwAr73ve/5fU1ubi4++OADvPzyy5ienkZ2djYqKiowMjJCWZHyclpkfJC7Iw2Lj5RlZBDZCGFbYjTSYRT1LCsqkt1gUxVCJlBeTpOIF6Sl0YKkuT0GQLqRlSsl2YloQsgESkp8Vq5KwdQUyQsV1d2KCpWJCa9f1nxC1jXahXP/cS4SLAl4+ZKXERsVq+Bg5mF0lFIUKndrCAomE13zlZUApPmQFRTQXqG+XsWMmcVCYxoe1qZfoNNJnmNLlgDPPw/89Ke0aJ9yisdLnNheXY24o45CaXm5vqIZCQk0f4kWUWGAVx+ylBSa61NTAbh7Yw4NhexgExoYc3e/UbBQ4lvf+hY452CMwT4vyutpe3HuueeCc47HH38cBw4cQEJCAs444wxMZ2TQ+qi5ViY8WHykzGol8XOIifysLCJkirXj8mywGcTEpiohA9z5NLt9QTSDMYoQxMWFIdAREyOpBFRTQgbQQiCE2TKQn09BGsWtqZKSKLrY1janTc58QmaftuOCZy5A33gfXr7kZeQmqNzuJy6OdjhtbeFLy3lDUhIQF0eErLc3oA+ZwUDcZWpKZVux9HSafFpb1dXj7dkDHHsscNNNwDHHEBn72c/mVBkv0JDZ7ZReVUAbqxiys+mnrU3ByVoa/BrDiq4NNhvQ3T3bG7O5OYxpTIB2F7m5tHkLsRz8888/BwCcdtpps2J+q9WKiYkJvP/++z59yK688kpwzvHLX/4Sb731FqKionDj3XeDFxeHNJ7DBYuPlAFu8hNCmCsxkdYTRYvHxsbI7kHipKY6IRMYGaG+Ml40SdnZpI1Ww6YpIDin0ITPClGNCZlAZqZs0azJRJvCwUEVUmGlpcT4XOTHGyG79IVLsbVjK57+ytM4OvtohQfgA2VldAHpqbE0KEI2tncv1hqNMEgQ+8XH03enul1MWRkt6oo6Dnvg978nItbURGnKd96ZjRoKeBX1R0XR91hdHbg/ppYoLyeSreHOUbJT/8GDlJYbGpqdR8OepSsroyheQ0NI2pTf//73AKitkufvl1xyCb74xS8GNIb94Q9/CKfTieuuuw4PPvggDNQj0yJ7QIcLOOdH5M8xxxzDfcLp5HzLFs4PHPD9GglwOkP684VwODj/9FPOq6okvNTBt27dyuvr6xUehA9s3cr5tm0+nx4a4txu12Yoc7B7N52zmZk5D9vtdv7+++/z3t7eMAyKcz48zPn27bJOitPJ+ebNdMoVv8ZcB+zr6+Pvv/8+Hx8f55xz3jHcwdc9tI7jZ+B/2vwnhd9UAg4e5Pz99znv7tb+vb3gwIEDfMuWLdzR3U3jamkJ95DmYnJSneN++innjHF+wQWc22xeX+JwOPiWLVt4Q0PDwifHxjj/6CPOd+1S4eI9PDA+Ps7ff/99bvNx/uZgaopu9k8+4dxu5729nPf3qz/GgJiZ4XzfPvo+ZQIAT05Onv09NTV1zuN2u51v3LiR33///QGPNTU1xW+55RYOYC/XAb9Q82fxRspiYminGYIGQmyeFSvuEYJ/m83vTlOzCJkn8vJI/+Mlijc9TcV9YZEFFRVRuNKj4jFsETJPmM1+rRX8gTEKTIgWdYqCMdj6+lD74YfYsH49oqOjsa1jG9Y9vA7VvdV48Wsv4tYNtyr8phKQk0OSAh1okuZoyDIyKL3a0kLfp0R0dKicxoyKov8rZKUDgD7flVeSJuHJJ71KPALaXsTEUGRqcJDOmd7Q3a2q8D/oXpaiRybnQFUV0pIdsz6YYb0VjEYyl42JoX/LXOTuuOOOOb/3ulLI3/nOd2Z9y0YkCGjNZrPoBKAjY0N1sDhJGUAppqmpkCe0Aweo6lqxGyg7mw7mQ9QYFkIG0PmKivKaKjSb6emurjBUnycmUmqirQ1wOvVByADS3uTk0EmRIRJJSlInDWaz2VD7ySdYGxuL6OFh/L3q7zjhsRMQZYzC59d8jvOXnK/8m0oBY+R9lZkZnvd3wauoXxjIBVGVZreTLEeiPZx81NWRI7sS6cLvf59SVo89RrnYeZDsQ5aVRT/Dw7og2XMwPU3ETIUdpOzm4jExRIDGx2fn/dZWkvXp4vQ1NQE7dwY1uQ+41tUbb7wR/a42ThdeeCE+++wzACT+FwTtuuuuU3jAhzcWLylLTaWJNkRdRmIizYeKTb7R0dQyoLNzwR0ZNkIGUBQvJ8dnn868PJJsKN4qSAoKC4GpKUw0N+uDkHmOy2CQXfnFOZF+pdYPoSE7+vTTYU5LxQ/e/B4ue+EybMjbgK3XbsXKzJXKvFEo4JzKT2W0hgoVPqsszWYKW9rtkqNlxcV0K9fVqdz1QlQ8hmpj8O67wF/+Atx2G3DyyQueDtoYtqKCSLYqxnshIC+PiH9zs6I9H2UTMoHkZNLx5VJhjdVKa0pYqzEFUlNpkauqkqzLe+ihh1x/mooHHngAANDZ2TnrSZacnIz7778fAJAURM/ZxQDGdUHFlcfatWv59u3b/b+oro5I2bHHSrJW8AanE/jsM4r0+3COCB5DQzSTJyfPTmphJWQCMzP0gUXqZB6qqmgt3bRJe+H/RF0dtra0YNkxx+iDkAm0tNDPMcd4jT4Ewr59xIM3bPB52iXBU9Q/Y5jBZf/6Gl5ueh3XlX8df/naE4gyhnBwJeFwUAWf2UznTKNFXYrtBaan3d5qEjA4SGn9vDzSTquGQ4eoSKKsjN4sWAwNEYGyWqldkkhZuRCSU//UFDGL4mL9EDSHgz7nxARdY9HRIR0uZEI2H2NjwPg49nWno78fWLt2wVeiPXp7KSKblkZRvQDfZUZGBnp7e8E5R0pKCgYGBmC325GdnY3BwUFwzpGYmIjh4WEEw0EYYzs452tD/Th6xuKNlAE0gS1bFhKDMBho49XXp6A/UWIisTw9ETKAIouCGXi5kfLz6f9BSG8UwcTEBDZ3duqPkAF0UpYsoVJdGSgpIR4cii2VJyHrnOjEpkc24bXmt3Dvmh/gwdwbETWtI+NWo5HIxeioZmFXSYQMcBOy3l5JUamkJAp8dHSo7PaRk0OLZVOTvJvvO98h4vTEE8oSMoB2FG1t2viqSYXQSwEhlzgrTsgA2sRVV6Mic2i2GjPssZP0dLov+/okiSV7e3tx7rnnore3FwMDAzjvvPNgtVoxODiICy+8EAAwPDyMiy++WO2RH3ZY3KQsNpZCsyHu4LKyaOFUtELdZXjktNv1QcgEnE7aZXrJqSUlUeccGQEh2ZijIbNadTKDecBopAtE5jUWE0Myw0OH5PkXeRKyLd1bsP7h9Tg0cghvXP4GbjnjJ2AJCfrpDyiQnk73ZXOz6tYKkgmZwMAARQwk5pVKSoCjjgo5GBMYlZVEznzYC/jEK68Ajz4K/M//0M3rAUV6WWZm0vXf0qIv/7LoaGo8KSey6IIqhAyg7zI6GlH1+1CeZ8fIiMJm0nKRl0eSDFGJEACvvPIKzj77bADA9773vdmI2B133AGnKw36ne98BwCwb98+FQZ8eGJxkzKAJv3m5pAMx+LjaeOlqEbZ4YCztRVVb72lH0IGUGjQaKTtvxd9gdFInEhR/zYfWCDqF30nQ+xtqgq6u8mAUwZhLCqSJ03zJGRP7H8Cp/3tNKTHpmPLtVtwasmp5HW1Zo3sKJ6qEFqpAwdUe4ugCRlAC1IQLp9GI21WAJX5pdlMkQxxA0qBzQZcdx1V//30p3OeUrS5eHk57S5qarSZGKRCRP1HRoLuV6saIQMoI+GqyMzs3Yf1R8/M9lcPO4qLZzsR+Psue3p6cPPNN0NIiHbu3Im33noLALBp0ya8+eabAIANGzbg9ddfx8qVOtCz6gQRUjYzQ6H1EN2e09Nly9K8wmmxoLqrCymTkyhXVZAiA/n5dEP6CA3u3Uv+kWrCa5VlWhoRjLY2fUXLABpPf78sM8aoKGoSUFIi/W9mRf1rj8Z33/subnr1JpxWcho2X7MZ5anzCP7MjP7OmdVKi7nMzgiBIIuQCXi6fEo8Z7295L+sev3CxASVg0uJSn3723Q9Pvmk22EeChMywJ0unJlR2SdEJtrbSZMnsVpLVUImEB09W5Fp7aGsxMCAjm7Rvj66oL10lRBO/b///e8xPT2NFStW4NZbb8WZZ545+xphJgsAv/nNbzQZ8uGCCCmLjaUfBaIrHR3KyGCEhiymtBT5GRmKVgkpguRkOmc+UjipqTS/qbUA+bW9KCykCIbGLVUCIjOTzllTk6yZNS1NegpMELKyVWW44PkL8Nftf8V3N30XL1/yMhKtXnw2+vtpXHrrLZedHXI7NG8IiZABc5sVSrzhk5MpmFVXp7KxvNnsrsb0Z2Hwr38BzzxDEbLVq2cfVpyQCcTGUvRHbxtMgEh2dLQkaxFNCJlAcjIVYBQVYWiILDJ0UY0JkO7ZYqHqLo+I8fzWSSaTCVVVVejwuE/i4+Px7rvvosS1y/zggw9QpsfrIkyIkDKAFszh4ZDVuAMDFHQLZTfjKeovWb+eFoBDh0IalyrIz/dpJpudTRF4NSaQgD5kaWmUKgn1i1AajFHo326XTX6mp2kO9BdsE4QsoTQBJz91Mj5t/xSPn/84fnv6b2E0+AjlZmTQJNvcrD99GUDjUqihdMiETCAzk6J4sdKatZtMtPbL9BOWDqORipempny3rerqAm6+GVi3jrzJXFCNkAkIZup0hrnB4zyYTMCKFTSufft8smZNCZlAcjJgMCAxZhpppsHw98YUMJuJMBoMlBqZmvLZyxIAcnJywDnHW2+9hdHRUQBAR0fHHJ1ZBIQIKQPcYrAQo2VZWTQXyg1sLaiyZIzKt8TuV0/IyKBVxovYwWik9aq3l7IpSkGSMawgP+np+jtnaWl0vlpaZIVLTCbidL6CbYKQ2VJtOPmpkzE6NYoPrvwAV66+MvDBy8ro4tVTlZzA5CSlV0Ms61WMkAlUVEgWPQMUQc7Koo/iWpfUQVwc3QO9vQs3AJwDN9xAA3jiidkeraoTMk/U1ZFXiJ70ZTExpBEYGfG6CQ4LIfNEczMqJvbCMDain1omq5Win9PTGPjoI1Tv2+e3lyVAzck557jsssswOTk5ex9eccUVWo1a94iQMoDCsCkpIbs8pqYSf5ITCPFpe1FYSJYKevH4ERBmsj6EdC4PxGD1sz4RlFN/erpbHa83lJfT9yljbIxRT/Hx8YXn1WazYc/ePfgUn+KrL3wVZSll2HbdNmzK3yTt4PHxxBgOHlTZv0EGSkuJPNTXy16NFCdkApxTFE9iNLu0lKYbVUkZQJHspKSFG83HHwf+8x/grruIhEBjQgYABQUUkVWx3ZEspKVR9EdMXi6EnZABQEkJohKsKJ+pwVDPpH7SmPHx6MvIQF1/PzZs2uSXkHniqaeewsTEBLKysgAAsbGxqK2tVXOkhw10uGqFCatW0YwZAhhze5YF025Ikg/Z6Ki+JjCBri6v0RVR2FdUFPpbyGqdxDl9EV6EqGFFfHxQ0ZX5SE2ltbalxb2HsNlseOGzF/CDhh/gRx/+CBctuwgfX/0x8hPzgzt4SQkRWr1tAMxmujeHhmTteFQjZACdq5ERErBLILNmMzkxuNYi9cAYCcVXraJ/9/cDN90EXHMNcMIJ5NyPMBAygFK+5eVuDzM9QfhDTk0Bo6P6IGTAbEVmZso0sobqYDHqQ2bQ29uL/V1dWO3yIfOnyZuZJ42wWCzo7OxEQ0MDAGDp0qUoKSnBuC7ys+FDhJTNR4iamqwsWjSlkjJJhGxggCqqQjQ6VAXDw0TKvHzghITQ1/eQelk2NOiz2gugccls2FxS4jZKb+xoxLUvXIsbd92IpsEmPHb+Y/jnRf9EbJQ0rdMcREWRHilYrystkJnp1r0FkfpVlZAJVFbS/yXmlcQw+vpUNloWsoeHHiIS9PDDRMZeeQUwGsNDyASys+k7bWnRoEGoDOzfj8nt27H1k0/CT8gEXBWZSzIHkDHcEO7RLNSQ2e3Atm1eN+lXXHGFT91YaWkpOOd49tln0dzcjNjY2Fn/ssWICCnzRFMTtXgJISIVF0dmkVLaYkh26k9KogVTqVygkhBNL32kb3p6iE/KqTgLiZAxRmmS4WF9mVYKTE1RKb4MXU1CAlC5xIkXW/6CtU+sxX86/4Ob196M+lvqcdXqq8BCZcJ2O/mD6SkyyxiRn6OOkpz61YSQARQWLisjciHxHnU4iMOF2rLSL3bsoBZyN9xA9+nHHwN//COQkBBeQiZQUeHWfOgM9rw8VO/Zg9VmM1JCiGwrjqQkioCWlChW7S8HXkX9Vqvb9Nkjbf7oo4/ib3/7GxwB5EEXXXQRnE4nrrvuOvzxj38EYwyvvvqqmh9Dl4iQMk8kJNAiqcAiPjXlf70NqnUSY7SztNmUVc4rgZgYCvn7MJM1mynzGmy3g5AImUBWFi2YMiNSqqKoSHb/pN1du3HBS5vwXx/cgsr0Suy4fgf+fPafkWRNUmZsosWR3qp+Y2Lc1Y4BItqaETKB7GxKSzc1SdKmGo0UvBoZIW6uKPr73dWVLS2kI3vgASKzDoc+CBlAJ2HFCskVrFrBbrdjy/79KDrjDCQC+ou2p6UBUVHot3E07hnVvBrTZ5Wl2DglJdFuY2AAVVVVuOWWWwBIazzOGMNDDz2E4eFhZGRk4NxzzwVjDG16S3OriAgp80RKCuXuQ6zCdDjIV8/XdSSrl2V2Nv1fj9EyP2ayyckUPQxm4VGEkAG0CBUUkBZJbymS6GgqlDh0KKAWqWO4A//a/y/c9vptWPvQWhzz0DGot9Xj3i8+iHtXf4by+NXKji093S1c06NFRmMjsHOnz/Cr5oRMoLKSPL8kukhnZND62tISos3ByAjwzjvAz38OnHEGFQc9+CBw660UjrvyShL12+1w1tfrg5B5gnMapw4qfz01ZMlLllCE8eBB/fkeAqi0tsLQeAB124Y1C2r7s70AQHPuihVATAyGt27FWWeeifHxcZhMJiQE0ZYgPj4e3d3d2LNnDwCgsLAQG6kNmM4Er8rDFO4B6AoGA82U3d3ErGRa9BuNxO+6u0n/47kuyG4ubrXSQXt7qdxdT0hOpqiUaFsyD/n5VGjV3x/YC1QxQiaQne3+PvWGwkISrre0zFbCOZwOVPVU4dO2T/FpO/20DRG7jzZFY03GGnyj4Bu46/y7kB6Xgy1bKDijeJeSsjJKf7W06M/wMymJWH57O51DD4SNkAFztXiTk3Nc8n2hooIUE3V1xOckZZ7b2oBPP6Wfzz4jV1Gnk/54xQrg8suBG2+kVK9AUhKceXmoe/ttpK9di2K9EDKAxu100rWWmOjuS6UxvIr6S0tpQtdTCtOFqJI8lJcPoGZvKw7mlCO/XF0taEBCJmAyga9YgUvPPht9Lh20yWRCnIx2bqtWrQLnHA899BBuuOEGAFCymaEuESFl85GZSdGLvr6QmllmZRF/6u+n3TAQAiETqKjQpf4CANk8+EB6OhGH9nb/pExxQgYQIz76aGWOpTSioii64pqs7tt6H77/7vcxOkV+CTnxOTgu/zh8Z+N3cGz+scg356O2uhYbNmxAtMvev6CAzu3goMJrWVwcEdqODoroSRFJaoXUVLqoWltpE+U6F2ElZJ5obyeCsW5dwKKJqCi6rTkPQMimp4H77gP+8Ad32Dk2FtiwAfjhD4HjjqPffVwETqcT2/v6kFlRgUJPsqYXVFRQxK+6Gli71ucGTy34rLIUvocAEUenc9bbLewwmZB50hL09NSi+b1mZOWVwxytztgkEzIX7nngAby/dSsmXdWYckmZwPXXX4/rr78ejDGdtR1RHjq5unSEhAQiGKLpqkykpNC80tVFpCxkQgbosyrOE9PTxELnkVmDgfQz/uYyVQiZJ5zOuQxZL8jImP31w9YPYTFa8OBXHsRx+cehILFgVrTv2Vw82qPfUl4e8abGRuKeirpZFBdTlEDjBVISysro+zxwAFi1Sj+EDCDC2NJCvmrCksIPPC4B7/jgA+pTuX8/8MUvAv/930TCVq2SRBBmNWTp6SikFJC7ukAv9ieiE8HOnaRHWrlSs7FJsr3gnCKSRqOmYwuI6GhUnlmMsa37YW6spUipwgiWkG3ZsgU//OEPYfeQZRg4R6xrY8cYw7///W9ccMEFio/1SEBEUzYfjFGYK8TdkDhMfz8wNaUAIRMYHqZyRr0ZfAIUYayp8eqMmZbmO5KjOiEDiLns26c/3zKA9Hj798Ps4EiyJuHSlZeiMKkwICEDiPAWF1OQQXHHFOEPppfIgCcsFvrgw8No3L9fP4QMoM1TSQnd/EEUS3R2UseaWX3QwYPAJZcAX/gC3VP//jdpx265hRh4MITMU0M2M0MEQ/EKgxARF0dkW4GWd1Ih2YfMc0LXmfA/KiMJyevLgcJCxVUawRIym82Gc889dw4hA0gIFtffP3txd+mtz66OoIMZTKfo7Ay5+iwvD1i71ok9exQiZABN+OPj+ptQAXLCNpl8VjtOT1PwwJOzaULIAErBRUXpbkIFQOdsdBRRo3ZMO+f6vfkjZAKZmSRJCzG46xsjI7SI6030n5uLhpQU2MbG9EPIBHJyKFze0CDZvt9goDW/vXEK+PWvKWL/739T0/CaGuCCC4KK0PissjSZiHA3N+vPLiYnh9K+GqTLgzaGzc52C/91Y6nvQkYGDo3EY/NmYLpPmY1nsIQMAO69914Medv4GgyIm5wk8SQw6+QfwULoaBbTGfr6ZPcoFDCZnNi/X0FCBhCxyMqivKieescBNNnn59O5GxlZ8DRjVKApektrRsgASju4IitB+3OoDVd+1+QApqbcO0wphAxwd5IQemlVMDioO0Lb0NiI/tFRrD3mGBj6+vTnq7Z0KW2i/LiceyIzE8gbrUXaF1dSo/BTTiGN1c9+Nqubk4qAthdLltAxq6v1Z7MjCiQOHvQ6jygB2U79paWUnm5ooHlOR0hMBGZsQ2h5ozbkTbscQgYAP/zhD/Hss8/ijDPOgMViQYyLXDsBxJWWznbkyAxBr32kI0LKfCE3l0iPzFJooSGLj0+C3V6urOVTfj4tQHrbrQHuBuqCeXnAZCJhus0G9PRoSMgEsrIoRdLUpCJ7kYfuqGm82P8ZyqKygYkJyYTME8PDwObN9H9FER9P11xnp24iK3M0ZIODRC70dj+YzRT1CSKEWfKPXyHK1om6P7wKxwsvURo0SEjyIRMeYU4nadV0dj9gZoa+z6oqyaRWKkJqnSTIdmam7vzVYmOBnCUJOOTIxOi+FnlNmCGfkAFAVFQUzj//fLzxxhvo7OzE73//e6xcuRIjIyNYfc45uO+TTwBESJk/REiZLyQn005ShmWyp6h/yZJyTE/TxkWxjXx0NO3WDh3SX0pJRMt8hG1ycwHOJ/Gf/+zTlpAB7o7eUVG6ijJyznHDKzdgxDGOByq/g4Hdu4MmZABNyoyF1LfbN4qK6Lqrqwu7vcgCUX9qKokWm5tV7lskAyLd2NER2P9wZASGF1+A4+JL0XX02ejvD/7tgjKGjYkhgjEzozjxCRmuXo9wOEgLqtA1p0gvS4OBzpu4N4NpdKwyiooZTCUFaBjJpHs1yGheKIRsPpKTk3HjjTdi7969eO+992A0GvHtH/8YALVW+vDFF0M6/pGKCCnzBcaIQQwPBxVC91ZlmZ9PulU5k6xPFBZSSaNMLzVVUVBAE6oXjc/09AT6+nYiPb0cRmMYKiGTk0kkraNK1if3PImX6l7CL7/4S2SXH4e9o6NBEzKALoWyMrchv6IwGMi+Y2IirE7/PqssKyroBNTU6C/qwzlF3Ovr/bvEvvACMD4Oy3VXYP162ncFA1lO/WlpFM0L8lrTBLGxVJE5MjKrRQoFqjQXb2igilGdEDOzGSguNWA4vRRjpkSKIEvcgCpJyObjC1/4AmZmZuBwOPCDH/wAAHDyl78Mxhg2bdq0qBz7AyFCyvxBdBeXOMn7sr1ITyeZhKLZldhYt5BIr7Db50QuhIbspJPKsWxZYnjXgRBS00qibagNt75xK04oOAFXlF+BvQcPYv1xxyHaapVFLtLT3e3nFA9+JCWRDUNensIHlga/thfC8210VH9ttUTKy2CgRdLX9/rkkxTJ3bRp9t4YHpa2pobUOslgoDEdOKCahks2UlMphdvTE1JeXhVCBpCfyeQkpVl1YlCdnQ2s32RE7PrlRGolWNqoScg8YTAY8Ktf/Qrc6cTw9u244vTTsXnzZhQWUrX5TTfdtKByc7EhQsr8wWQim+3ExIAv9edDJoJuAwOSC7GkgXNy99abcB1w+/rU1wOYK+rPyEhDeXmYg1WtrbRAhnECcHInvvnSN+FwOvDHk/6I6v00KUZHRdHuW6ZYt6yMTr8ql0VKCl3Q09OaRqQk+ZClpVEEWclFVylYLCSuHx31XjDR1ga8/z5wxRWzG63pabqFAgWJFOll6XBQqmv/ft1EfWZRUECGskG06fGEaoQMoDEtXUqEsaZGF8UmjLnmVrMZ9lhXNmJgwGeUVitCNn+Q8UcfjSf++Efw99/HgY8+wurVq/HAAw8gJiYGjDHcf//94Do4n1ojQsqkYHra7y5NijFsTg5t+BS95hmjaE9zsy4mgzlgjPK2Q0OY6Oz0KuofG6PNeViGXlhIEYIwVhT+ddtf8W7zu/j5cT/HSNuIO2VpNNKF0toqqzIuOpoyUvn5KgwaoPth2zbfzV0VRlDGsMXFYWvTExCpqfSldHQs1L49/TTdCJdfPvuQ2Uwfx2bznTFWrLm42UzC/6kp2qzobT4RbvD9/UHtbFUlZALp6bQT6uvTVYVyezvdphPjTjLk3bt3Qfg8LIRMQESQ09JQBmDXli3gnOONN94AANx8880wGAyIj4/Hxx9/rO3YwogIKZOC6mqfE5VUp35Reai4D2dBAUV7dFaeDQDIzsYkgH0vv+xV1C+0T2HJIkZF0bnr6wtLs/IDtgP43tvfw6mFp2KNc81CDVlZGU1aDQ2yji8OZberkFUxm0mb19qqurBetlN/c/NslFZXKC6m6Ltn5R7nlLo84YQF1Za5uXSqGxoWBjoUI2QC8fGkUx0Y0F8KGKDIbH09pQol5HQ1IWQCeXm6i9IKTWJjs6tJ+PQ0ETNXJDSshEyAMUqxHn30bJr1jDPOAOccDocDv/vd7zA6OooTTzxRmGnrRwysEiKkTApycihiMU+pL6d1Uk8POQsohrQ0WoF1KJScmJrCDpsN5ZmZSPOifcvIoLWppSVMG/O8PEorNTZqOgAnd+Ka/1yDKGMUrs++Hhs3blwo6rdYaJLv65Nt1T85qWJAq6yMdhi1taqdu5BaJ3FO4SXF2xyECIPBHckbGaFxfvopncerrlrwcsYo6zm/hkFxQiaQnU0/Bw/qqkIZAJ27FSuoWnTfPr/pc00JmUBxsZuU6eDcWa207+ztBQYd8VR8ZbcDVVXo7eoKPyETMBjcm5SDB2d1FwaDAXfccQc45xgeHsadd94JADqzG1AeEVImBWlptEh6lLTJ7WXZ3a2wTRZjdOeNjOjGQwpwa8gqTjwRidnZXvUMotfv+HhgtwBVIAxlo6M1Fenet/U+fNz2MW4suhHnnniu7yrLvDyyLZBZ7Wix0G65rc1/0Z8smM0UVRkZUcUfLORelkVFlPKqq9OfRgqgL2TnTpoMHn6YolRf+5rXl1osVMOQni6cZlQiZALl5cAxx+iz52lcHLHU4WGfYruwEDJP9PQAW7booqVbQQGRs4YGgCcmAcuWYbC9HQ0ff6wPQuYJzmkTWlOzIPMTHx+Pu+66C4iQsggA0EyYk0ORsvHxkJqL5+fTGqEoCcnMpLCTTnoUznHqT0/3K3BKS6P1KMTmCfKRlUXhc43OXdNAE77/zvexIWUDfnLeT/zbXhgMVO24fLns9ystJe6pSiYvI4N0UgpX7CnSXFx4Sc3MKGKnoDhiYigiVVMDPPsscOmlfs1I09JogeVcZUIG0LkTbY66u3VTVTiL9HTaTHV3L4iEhp2QAZRvjoqiaF6YKwkNBpoDJidpKL2cY5/ZjDXnnqsvQgbQOrtyJS0I+/frL8qtESKkTCqyswGDAU6bLaTm4klJtNlTNLhgMBCxiI9X8KDy4LV1kkhdDg97TXWVlBCvDKu2eGxMdXGbkztx5fNXAhz428V/m21B4hdWK32/DoeslEhUFJ3fwUGVopHLltGPQlCEkAnExtLi3d+vP1NZgFLAH31Eq6WX1OV8OJ1OvPvuLnR2ZqOwUCVC5omxMUqr6pHUFhZSKtOjW4IuCBlAUeRVq+h3Dw1XuJCeDmzcCIyNkYZs7Re/CGt0NF13ra1hHdsCGI107uLiiJjpKPujFSKkTCqiouBcvx47urpC7mWZl0fznaJmsgDp3mS21lDm7f20ThoYoHSNF+KTnExrZ1h9cJubaQFScQL9w0d/wCcdn+A3p/4G5ZlBXD+cAzt2yF4cs7PJ1UWVTbv40hRwR1aUkAnk5ZGdgs5a4gCgzcrrr5PxrdXqd1ciUpbp6clISsrHgQMajE+Q2p4e/bWwAih8CADj47D39emDkAlER1PUR3iYhdnQuL+/F/v3V6Oy0iNlKRoR662ow2QiYhYTE/ZIYzgQIWUS4XQ6saOqighZiGmDjAwiIorj0CFauMNwIQdsLp6UFFDVb7OFSVsGUDjJ6VRtgtrdvBs/+fgn+GLhF3HzhpuD+2PGiFnZbLKqbBmjgr+ioqD/VDoaGqhCWaZjrSqEDKAPLyKSAwP6snrYto1SXNdc47dqz1NDtnp1CQoL6T7RxJ6woIDIT2NjWKqUA4JzTOzYgZp//QurlizRByETSEigKHJGhtfuJlpBVFlmZ29AXZ3VHTQuLKR5paVFf6TbbKaKzJwc+rfeunSoiAgpk4A5GjKjkSI+IcBgAI46SoXq6bw8WoRkmo7KRUBCBtC4ior8qvo7OmhtD0s7z5gYmgAOHVJcFd/X14frXr4OBoMBj1zwiCjtDg55eURqGxpkaXzEWw4OqmTaXlbmdoUPEqoRMk8MDZETq8b3hl88/DBddzfeSOSHsQWk0Zuov7CQ1vv6eo1aVi5ZQpGf6mrd6cvsExPYNjKCsoICpHR26m/xTktzd8AIQ39RT9uLkhIrTKZ5t2hFBY2xoSGMO2IfEHPB0BAVTijqvK5fREhZACwQ9cfE0MWhwK7R4VA4ZR4VRcL1ri7NSrIlETKB9HTSCrS2eo1YFBdT9jBsmzYVDGVtNht+/favsX1gO35z2m9QlFQk70CMUVXcxIRsjwunk3TldXUqBIyio+kL7OsLSpunCSEDKH+bnk7pGj1M7iMjwD/+AXz9626n+oEBYPv22RS6rypL4bnJuUZqBZOJik1Ef1GdQGjIlm/ciIT162nx1qM3HUAbva1bNZ3c5vuQCTPiwUGPW1T4hCUl0YZUT5FkAYuFxrlnT7hHogkipMwPvFZZZmRQaFWBjs9NTSQ3UFTGlJ9PN5YGN39QhEyguJhCYV6E1/HxtG62t4dJGxsVReOLjVVkcrLZbHhv+3t4qOUhnFR4Em5ce2NoB0xKoooImaTCYFCxYTlAEYH4eNqKS/gCNSNkAhUVdO/qoWn5P/5B98B117kfM5tJelBTA6fD4bfKMjqapHKFhRqNNzbWreHSgc5ngag/I4Mi8V1d+ov4APSFpaRQREoDt2xfxrDZ2bQvbmz0uAWE/9uqVfrspWy1UmpJj2NTARFS5gM+bS8MBrqy+/pCDkfn5tKNIdOGyjuio2mCUjnNIIuQAVQttXGju23KPBQV0dDD5oWbl0f6shAnAJvNhr179+KRnkcw7ZzG/533fzAwBW63ykoSEMuEqg3LGXMbagUgWZoTMoBIT2UlkaHmZm3e0xcefpgWwg0b3I/FxQGlpXD29WHva68FtL3w7NqgWXHp0BBFfMJYUOSzyrKwkKLJwspeTxDhzcRE2hSo6GHmz6mfMdqYGY3z7n+TiR50OKjqUQ/RZE9ER5MwdhEgQsq8IKAPWU6O2zE8BMTE0Oapo0PhjfvSpTQ5qQTZhEzAaKTz52XHHRtL8pqwF8v198v2ybHZbKiqqkJjXCPebHoTd51yF8pSypQZlyAwExOyJ/bycjr9Mjs4+UdcHL2BnzRXWAiZQGoqXWDhtI/ZtYvSlNdfv4D8O7Ozsb+nB+kjIyiVQC44J9eF6mqNgn8JCUQs6uvDsnD7tb1gjHa6BgNF43UQ0ZsDEZGyWKjAQ0Zf20CQ0jopKYmirF4tEkWf57179Xf+pFgIHQGIkLJ5kGQMa7US8RGVISEgL4/kX6pUUo2OKj5Th0zIBOrqaHHyMr6SEpLGhRWid2KQEUdByAqWF+C/3/tvHJt/LG5Zf4vy46upkS28tlrpHCcmKj+sWYyM0MQ+b3xhJWQCJSUUTQ4XHn6YvgSP5uOAW0MWs2YNcktKJKW5hNRwbIzkEKpDaJDMZiIWGuoMgvIh27dPFx5hCyA8zDIzFe+YEEwvS8aIty7I9FqtND6nk86fDtpFLTZESJkHgnLqz8ykHU+ISEmhqNDwcMiHmouREdqNK5hmUIyQAcS6pqZ8RhudToogqrCZlIayMorvB6HNE4Rs/fr1uOO9OzAxM4FHz3sURoMK4uiSEhqfTPPHvDx3UZgq4JyijR5MQReEzBMdHdoLw8fGgKefBi66aI4vzhxRf2Ul2QFItN5JSaHv8uBBFbwPvSEqioT/U1O0OdBAHB60May4P/bvD79+cD6io2l+MRiINCogNZHTXPzQIfr6FtSsxcYSMZuaImIWlnL4xQsdzIz6gKzWSQMDiuSA1qwhDbKiiI+nn/Z2RSZNRQkZQDH05GQSj3mZlKanSYwaNl/DxEQSNre1SdotCkK2YcMG/KfpP3ix9kX8/OSfozKtUr3xZWXR9xuChUd3t0ouEQkJxBQ6OoChIf0RMsC9KZDh/SYbzz5LO7Drr599yGuVpYiijI9LipiVlNBaqrL/sRsJCUQsVA23EmQ59SckkH5wcFCWTYsmcDopWxAisZVDyADK9M72xZz/9gkJRLxnZiLRMo2hk9kxvJDdy3JsjLanIRo/ibaLim9ICgpIFxDioqM4IRMoKqIb3kspoMVC2eHubhWaaUtFaSlNnAFE4Z6EbMQ5gm+/9m2sz12P72z6jrrjKykh7VYIi87AAAWzVDnHxcWA1Yr2d95Bf1+fvggZQNdffDyl0rVaeB56iHy/jj8egITm4s3NtGgH0G+JVp+a+pTm5JC43ou/mlIIqXVSZibNgZ2dCldTKQSDgc5hX5/szb1cQgbQ1FFaSpdWZ6eXF6SkAOvXu7Vcfr7jiy66CFdccQUAmg8H9Wg0fJhARzNkeBBKc3FkZdGVrYC/QF8f8NlnCi+OaWkUKg+hlFE1QgbQLjslxSdpLCigeSts0bLoaFq4hY+UF3gSsujoaHz7tW9jZGoEj53/mDppS0+IxpZWq+wUjeB1qmTxjEY0mc0Y7enB2pwcfREywF0R53Bo099x/37g88+Ba68FGAtMyAAKoZtMkvSDcXHuyjpNISoyFRaGK9LLsriYJhKPHpm6Ql4e2Rh1dARtYxQKIRNIT6ekRXOzjwiruGcbG/0aHH722Wf429/+BgAoLCxEQUEBAODBBx/E3//+d1ljW6zQ2SypLUIiZABNlpmZpNIPMWcg1n1F/aMYowlpfFzWhKkqIRNYupTyt14QFUVzVk9PGCu0RSsSL5hPyJ6vfh7PVj+Ln570UyxLV65Jt1/k5FCaRibh8WxYrrTLQUNDA/ocDlRedBEM+fnKHlwpxMTQCbDZVBB2zsPDD9MJv/JKaYQMIGH4smV0D0uMiI6OkpxUs+I5i4Xmv/37FbPiUay5OGP0/VosRCj0mIorKSF21NAgOauhBCETKC+n9cfvvs5kognCh7H2ag+7ioKCAoy4ske33XYbLrvsMgDAxo0b8aUvfSmksS4GLFpSFjIhExBmY17jv9IRFUWph64uhTUhmZnApk0+6p99QxNCBtCiwxhN5l4m9Px8kp6F1Wha2J94hOTnE7K+8T7c/NrNODr7aPz3sf+t/RhHRmQz+uxsmpQbG5Wzt5ujIUtPp+94elqfjuG5ucAxx/iNiIaMiQngySeBL38ZzpQUaYRMICnJbYwqQV9mNtPbaaTBp0jtsmXEBhUIuSpGyOZDVHzrrSJTRGxzcyVdg0oSMoC0iCtXBqhbKyyk8R086DXz4knKfP3e1NSEV155JeTxHulYlKRMMUIG0BWdlaVIeXNeHi2KIfK7uTAY3KI1iSuuZoRMYGaGept5udlNJjJzDqetFDinsR04AHC+gJCNTY3hyhevxIB9AI+d/xjMRrP2Yzx0iHbaMlxEhedrZaUyqS+vov6pKWrArafekwKMuS+wkRHlmczgIPDd7wIDA3Bec01whEygsJBykxLScBYLZT2Hh2UX5waPlBRKFXZ3hxTuV42QAbT7mJykVLDeNgcGA4WsoqJobD6cnZUmZJ6YmAggFSkro01+U9MCjZ4UUrZ6kZi/hopFR8oUJWQCS5YoYqwVF0dRIVVakO3eLUk3ozkhA4h5JSbSLszHLnZ6OoxaXYOBUgxjY+ivrp5DyBr6G7DxkY14o+EN/OnMP2FV5qrwjDFE0b9nF51Qrj2fVZZRUfQdt7SEsXIjAEZHgZ07lWsnMT4O/PrX9N3cdx/4FVdge3x88IQMIOKYl+c2Rg2gIczIoPWztVX9rOwshHZL5huqSsgAuv4qKhSrmlcNtbU0X89LtapJyADK4Le0+AnGMkZrXVoahWM9ECFlymFRkTJVCJn74IqYBJWVqdTmKyGB7jY/QpOwEDIB0V/JRySlp4cyI4o2cA8GGRkYdDrR8v772LB2LaKjo/H6gdex7uF1ODRyCG9c9gZuWndTmAYHmiSFOCyE3n8dHZThkUPMAtpelJcTqVClI7oCiIsjbU9LS2gV1VNTwF//SqVt3/8+sGkTnNu3Y9u3voXU9PTgCZknHA5gxw6f2h5PlJdT1EyVPqfewBjZKCxdGvSfqk7IBLKy3MJ6PVZkApQmnJwkA1xXdkNtQgaQPDU2dl5fzPlgjLoSiG4TLssAcU0PDw/jqKOOAgBwzucQsTU+tMMRzMWiIWWqEjKAojx794YcBYiNDVr+JQ15eXRD+SA9YSVkAH3wzEw6j17EuNnZtMCEq2WhzWZDld2O5eXlsPT24Fcf/Qrn/P0cFCUVYft123Fa6WnhGZgnsrMpDdfYKNtfxWKhQEew/ewl+ZBFRdGuY2hI4Ry9ghAppNra4CtaHQ7SjVVWAt/6Fh3r44/hfPllbHc45EXI5sNopEhFR0dAfZnJRO0ClywJ7S2Dgvju7XbJ5FszQiZQUuLuzK1HJCSQRm94GKipQW9Pj+qEDHB3h5iYkKgysNmAzZuBkREYXbqHvXv3IjMzEwDQ0dGBla4+vTMzMwsiZe16lDLoAIuClKlOyADagTGmyO5rchKoqlK4Z21UFI2xq2sB6Qk7IRMoKqJJ3MtiYzDQ08PDsltSyobQkK394hcxWZSNCz+5FT96/0e4dOWl+PSbn6I4uVjbAfkCY5SeEWkuGUhLowxUS4v0huVBGcNmZVGOXsWGzCHBs2m51L5FnAP//je5oF95JX2+118HPvwQzmOPlach84fiYlq46+oCtrywWumymJrS+JSPjBDxDhDR05yQAW4RpRDVK1XdoiTS0oDycgw2NKDpnXdUJ2QCSUkUBGttlXD/x8UR8/cIRuzevXv26d27dyPW1cS4vr5+du0dGRnB6OgoCgoKwPUYMQ8zjnhSpgkhA+aWT4Z4k5tMNIEGG60IiPz8BY3UdUPIAAoRrltH4XsvyMqilzQ3a5f98hT1t461YsM7X8PLzW/gnjPuwd++/DfEmHXWJDc+3m3wJhPBNCyX5dS/YoWsFJdmSEmheyVQGzXOgbffJoPNr3yF7vtnnyU/ijPPhJNz5QkZ4HaKBSSL1uvqKBsmlWiHjIwMd+8nH419w0LI5qO1ldLBOmwl1BsVhdrJSRx1+umaEDKB0lIKJAa8nS0Wt9Zmzx4AC0mZ5+8mV8FZVVXVLFnrUtqH5wjAEU3KNCNkArm5Prq8Bgej0W30rGjvx+ho2s27jP10RcgEhHu0F2LLGEXLrFZtNreehOyt1rew/uH1sI3b8M5lb+K29HPBZFQ6agabjRZsGbBa6Tz39fkv5pTdOkmUeNrtYRQJBkBpKREzX/j8c+CLXwROP51Ix2OPEeu56CLAYJDuQyYX0dEU7RGdpQOgtJTumdpaDeV8paUkrq+rW3Ah6YKQATQ+u113FZlCQ7b6/PNhFXOzRsZzVittzOZp+b1DrCmuCfmRRx7BbbfdBsA/QWMu0bTn4xEQjmhSpikhAygcHh/vpcNr8BDBIsWjZcnJgMGgT0Im0NtL7Q28MNLMTAq0CJcPtTCbsly3Fnd9fhcu+OcFWJK2BDuu34GTC0/ya6SoC0xNEVmQuRPNyyPrLteGdgEU6WVZX0+Lod58ozzR1ze3onXvXuC884Bjj6Wx33svfY6rrpq9KFUnZALp6SQak7B6xsSQnG9gIAzCf6NxjteCbggZQPm6igoq0tLJ/exV1N/RQZYyGuagh4clkvi4OGDlSrz5xBMAgHvvvRcA8Pzzz8+Sr9/+9rezrZd8kbUICEcsKRsbG9OWkAmsWkUizRBhsVAGoLNT+cj6xMGD2PfEE1ixbJn+CBlA5JZzvyZL4+OKcF+vEISs4qgKXPzixfjlx7/ENWuuwUdXf4T8xHxafAsLaYXTWuAmFVlZdB6bmmRdQAaDWwc9P+WlWHPxsjLaYeu1YTRANhkdHSRovvRSIkEffwzcdRed21tumZPm1IyQCQjBWHV1wNxkTg7pBZuaZNnZyUNUFKW4XNUGuiJkAtnZ7lRrmAtQfFZZZmTQdbZvn2aWMhMTtKeTdEoSE3H6FVeAcw5ut2NqYgLPPvssTjzxxNmXJCcnAwAefvhhnHLKKQCAnTt3qjH0wxpHLCkzmUzaEzLAvWtVIL8m2qIpaY8xMTGB7bt2oTwrC2l6jVCIbuRdXT5Xj9pacixXOo0pCFlcSRxO/NuJeKfpHTxwzgN4+EsPw2rymCRzcih039Agu++kqhClVNPTIUUAOjuJj4g2V4oRMoDCcIWFFNHzoTsKO4xGioYdfzzw0kvAnXcSq7nzzgVhRM0JmcDMDG0O9u8PeC1WVtL6roDXtXTExgJGI+wjI9j1+uv6ImQCpaXEWMPYn9Wv7YXZTBt+gPRbiupavCMjgwKJLS1BTHEzM8DOnTDX1+Oir3wFH374IRE1l+n2HXfcgYSEBLz33nsAgOeeew6MMTDGcM011/iNnNWr0qBXfzhiSZklkEhXTQwMUPotxIaN8fGk7VGqwbBIWS7ZtAmJhYUUidJj5RFAi7XR6JNQlJZSYEDJqmpByA4mHsRJT52E8elxfHjVh7hh7Q2zYfhZCAduu105s1GlER9PrL6zU7bvlvCJrK0F6usVJGQCBQUU0auv12ShkYzeXuCOO+g7fuUV4IILgBdeAH7xC5IAzEPYCBlAucklSyjfFCDqGBVFLzWbtZVQ2e127H71VawwmZCiWbVBEGCMeg257By03mhJ8iGLjqaoo8NBaXQNxlhYSIFYySoIk4kWLS+bhJSUFPzud7/D0NDQLFHbv38/br75ZgDAo48+ijVr1syStMzMTPzyl79Ed3c36uvrMayZC3J4ccSSsrBCtGxRaLHu7Q29WfQCDVlJCd1tmglMgoTZTDf3wIDXaFliIu3k2tqUWcsFIdtl3oVv/OcbWJO1Bjuu34FN+Zt8/1FKCp3HjIzQB6AWiopI1yOzT5VwiKir60B19aiyhAxw9/3LypKoLNYAL71E3+s991DK8sAB4IEHKILrJaIXVkImkJ5OK2hnp6R7emqKTIIV8LsOCJGyrDztNCQUFYXZBVoC+vqo7ZtGacKgjGHj4ihiVlysSVQvOZn2TO3tQZD4nBzS6UmI3i5btgz33XffLElzOBx4/fXXcfbZZ6Onpwc//vGPkZWVhcrKSqxbtw4AtIzxhgURUqYGTCZS6vf0KHJjC7sfuUEtr6L+hAQK17e16bIcHACdw3XrfKrNxfoXqj7Xs8ry9abXsTRtKd678j1kx2cH/uOCAnfFqB5hMLjdt2WmqwcGGmA225CYuApjYypMGdHRpC8zGsNfAcc5pSYLCki/8+ijRHbS0oCjj17QTk0XhEygqIju6YMHA0ZRTCZ3NaYXr2bFMEdDlppKetuYGFqs9Vq9HBtL18Hevap7iMhy6k9IcN/Tg4Oqz99FRTQVB3VrehKzIIITBoMBZ555Jl599VVwzlFXV4cPP/wQ9913H04++WQA0E+JrEqIkDK1IAw8FcivFRXReionqOW3yrKkhCZJtUsZ5YIxN+HxsnJYLG6LDLlr+fzm4lOOKaTHpiPKGMSGbGaGFvAQrVBUxfAwicOCDI0IDdkFF6xAbKxB3Qzj+Dh5fIUzTfHppyRW/O53F3qpCbPRsTFgfFxfhAxwRx3XrAkYRTEY6NafmVHPJsOrqN9kojShwUARMz0iOprGOD1NLt4qkZ6QWydNTdH4qqpUlaGkpMj0o87JoVJ5f9YyfiBSlscffzxuvvlmvP/++wCgUyG0coiQMrUQFUVVPd3dIZf8JyTQjdHeHty9F9D2IjaWDqx3tLUBW7d6PY8FBRQxk1MMMZ+QAcCUYyo4QgZQhGdqKqT2RqojLo7Ya12d5DF6ivqjogxYt869QVcFUVF0gatRwSEVDz1EN9zFF3t/nnOgqgrOqips37JFP4RMwGSi88g53Td+zmNsLN07/f3Kqxj8VllarZSC07OBcHw8EYqxMdpwKazfUqSXZVQUaQuGh1UZoyc4JwlN0BXvaWk0P87MUIGMxDEKQnb00UcrK5c4DLC4Pq3WKCggsycFtDLBRsuC8iFrbpbeUiYcSE2lxcVP48uBgYCtAOfAGyEDZJIy0d5oelq/59FgoAlckMcA8FZlKYhvV1do/bp9wmSihXpiIjw2Gf39wL/+BVx+uW+DNsbgLC9H3c6dyBoe1hch88TwMF2LdXV+X5abS7dXV5dy0TJJthdik8A5bVzDnbb2huRkuh7j4xUtgVe0uXhGBs09AwOqGuByTtOv7N7DAwO0SZBQIbyYCRkQIWXqwmLxPbkHiYQEigZLuYeDNoadnqYwnJ6q3zwRG0sfvrPTpw6ltZWyIVKCQL4IGSCTlAG0yOTlUQsrvfZ1TEhwV2P6SWP6s70Q3LimRqWNeWIibWa6urS3yXjqKdIQXX+9z5c4nU5sb2xEzLJlKLBYFOl1qwoSE0me0NMTUNOzZAllPJXgHUH7kNlsdDF5mMvqChkZ7lC8AhZCihIygexsqhLu61NNQmEw0NQxNCRzektPpzGKTiM+Jo/FTsiACClTH5zTpCN7i+FGRUXgQj9ZTv2FhTTp6HViBNzeID4aMpaVESEL9BH8ETIgBFImxmixKPJdq4aiIiK5PnRbgXzIjEYKuI2Pq3i5FBURgdRSo8c58OCD1MfyqKO8vsRTQ1Z44omU+m9o0K9gvaCAJoymJr8k3Gym79XhCI0HyzKGTUsjUtHaGnqJuZqYnCRHfT+G1oGgCiETyM2l63ZeIYqSyM6ma0W2qUBurps8eiFmEUJGWLyfXCswRhdfR4cieiNxKG9SEdmtkywWumH8mLWGHWYzlYGPjHiN6MXF0aTR0eG74DUQIQOIlFmMMj3ujEbSoSxfLu/vtYDBQFWERUULnpJqDJuSQue6vV0lTb7wjFqxQoWD+8Bnn9FCccMNXp9eIOoXovr8fBKG6xWVlXRz1NUFDG12dNAp6OsL/m1CcuqvqKBUYV2dfq0yLBa68JubZbn+q0rIBIR/3vh4SOTRF4xGSgbYbCEsE4KYjYzMiTxGCJkbi/vTa4XCQiJkCqhpR0dJbjP/UCH3siwoWNCjTnfIyQE2bPCZwy0u9h1Mk0LIgBAjZQDpT4Qzp15F/8KNeHh4VrkbrFN/aSnpjFVrcG02u1NGwYgF5eKhh+i7+9rXFjzls8pSbBQMBn1/1ytWuCse/SAvz83fgnGCCLl1kuiRGROjYl5cAVRWEjGrrw+KuWpCyDzR3U3kUYW5PCeHMuMhXe65uRSRtlgAzlFfVxchZB6InAEtEBfn9g8KsarMWyWmIs3FzWYSl3iJoOgGjLkJj5dwmNns7pbiSRSkEjJAAVImsGcPLTB6Bee0+tbUoKG2NminfqHJl1v5KhktLRS+UdMmY2DAp8Bfku3F1BRZeSjZXkJJWK3uRqb9/T5ZtLDJEP5lUsi2Yr0shVXG8uVhbXXkF4I8xsfTNSmh2kVzQgbQHJ6VRfeOwtek2Uz6w8TEEA/k2hg2v/UWpnbtwtGrV0cImQtH7FnQXVvHggIalAINbz0rMRUhZALp6YoVJqiKpiZg506vX3J2Nm3EBFEIhpABCpKy1FSK88vJBWkBxoDKShxsasJ4VZUsp/6kJPqYgIrFc8XFtKNW0ybjqacoJT5P4C/ZhywqikhPU5N+izwAioru3es3tRUTQ/rMgQHaQ/qD4s3FrVb3am+z6TNiZjQSeczKCmgaHRZCBsze28jIoEprFYpRZmZC7wZRX1+PYYcDyzIyYFAt5H744YglZWq6VMtCYiLl0hUwehLRsoaGSXz6qUKETGB6mnaBQRvSaIjs7IAWGZ2dwL59/UERMkBBUiZyQQcO6La/aENPD2wxMViRmgpDCN/3oUMUKFLlY6ptk8E5pS7XrQNWr559OGhj2CVLiFRUV+twR+hCUpI7guJns5CT425i4AuKEzJPjI+TIapeF2qzmXRwojrCS643bIRMgDG6JlNTVbEcaWoiazS566zQkK0880wYKivpety/X5/ft8Y4YkmZQhXMyiI3l3b9CiArawINDVWoqFCQkAE00QwN6ddvC6Adam4uMS8fTd8bGgbx3nutWLNGOiEDFCRlwrtsclKX1ZhCQ7byS1+CIT4+KFPZ+YiOJuGvah/T0yZDaX3Z5s20unhEyWQ59ZtMlPubnqaonl4Xl4oK2tXV1PhVaxcXu+sX5gesVCVkAN3fws5DzxpXgK6dPXvmLDZhJ2QCBgOlW1etUlxjkJdH10WgaKo3LBD15+ZSeLavT9+SD41wxJKymBj99Deeg+HhkCftiYkJVFdvxle+UoT8fAUJGUA3clERjVOvqTeAtvImk1dVv81mw9jYXixZsgxdXdIJmcPpgIM7lCFlgNtcbmBAV6mYOaJ+k4l21Dk57gKAIJGcTPPqwYMqZu+KioiYJSUpe9wHHySN0Ne/DiDEXpbx8bS4OJ26jY7OLtRGY0AXeM4peOEZoFSdkAkUFBweVhmFhRTFdbU60g0hEzAY3I76e/Yo1oE+JoaSPocOBbeX81llmZdHmaTMTEXGdzjjiCVlAIVWdZfGnJqicLLMHf98DdnUlAqZxqws2iY3N+t3x28200I9MTHnSxYaspNOWofSUgs6O6W7z087aberGCkDSAl/zDG6ES97rbKMj3d71clESQll72prVeIjjNGbiEIPJa7LgQHgn/8ELrsMiItTppdlTg75Rem1nyxA0foVK+h8+rkuGaNpoLOTpivNCJmAp1WGXo2tk5IovT48jP5PPkH1/v36IWTzMT1NRFyhBaOggAiZVMlaQNsL0V4CoDHqde1RGfpYKVTCli2q2LWEhtRUEtO3tgZ90XkT9dfX025W0YWQMcpfjI1p76oeDHJyqLQ6ikjUfFF/YSE95cNvdgGmHETuFCVlRiMtfA5H2EXgAW0vBgaAHTtkpTGNRgq4TUyoLEd0OIDdu0NwsPTA00/PCvwVbS7OGG0UqquD85bQEgkJbn2rH8JTVEScfe/eSXz88VbtCBngrnZculRaK5NwIT0dttRUtO3ahY0ZGfokZCYTbRasVorqKdAnLT6eOLMvX0hPvPbaa/j444+l2V6Mj1NUT8W2UXrGEU3K0tIo8q0rCyHGaIsxNkYVRhLhq8pSFHUqXmCTnk47aWFIqEcwNkt4+pubF4j6TSaKiBcUSDucKqRMoL6eJsMwhW4l+ZCZTKTRk9Ab0xuSkoCNG92bXVVgNFKkp6UlNJsMIfBfuxbOo45SjpAJTE+7W8roeWEZGqLdq4/uCQYDUFxsx/791bBYViM5WSNCJmAyuduYzDMc1Qt6e3uxr78fS770JVhKSsI9HN8wm4mYmc1EenzocYPBypW0GfOHrVu34vLLL8dnn30mrcI7JoYyDL29+r9/VMCRS8qcTuTl0cZad5KEjAzasUjc7fuzvRCVmG1tKkTLCgpmo1B6xsC2bWh9+WVsWLNmgag/PV06SVCVlBUVkX5HathOQUg2ho2Pl9Qb0x9EHcvAgIqyqoqK0G0ytmwBqqrgvPZa5QkZQNHwigoiPTos9JhFQgIVUtTVeY2e2O127N27BaedVgSzOTF8WUSHg+w8AujgtMYcDVlpqbvJul6tUSwWqjKOiVFEUiEOMTHhnTvV1tbi5ptvxuDgIJKC0YPm5ZE+cxESsyOXlE1NIT6e5puDB3X2nQp9THp6wIFJ8SErLFQpWgbQRK2zidATNpsNVYODWLZkCaL9sO/m5sCpbFVJWXQ0kdyeHsXEtlIQrFP/bG/MEKox7XZaP1Ur4FXCJuOhh8Dj4rCzokJ5QiaQmUkp9rY2/RbNiBRhVNQCjwNPDdnSpclYvz6MHaWMRgp7Dw3RtakD+BT1HzoE7NqlX+mH1Uqt1oTPWojRx5ER2uPMl0nX19fjnnvuQU1NDTjnSAzWcdaTmGnR1UMnOHJJ2cwMMDODvDyauxVIoSuLjAyKSvgRV0s1hk1MpGiZKrtYh4MWFAVaRCkNoSFbd9JJlDbwY5FhtxMp83eOVCVlAJGymBgiEhqQ3KAJGUBb3yVLaHGWGWKOjibNbkeHiq0MhU3G0FDw5LGhAfyZZ9B76qlILihQh5AJlJVRBLKlRWc7Qw+YzST8n54mgarT6VXUbzLRR1CgMYk8ZGTQZra7O+xWGX6rLLOz6fqsrdVvL08BYcQdgqwiLo7uec/ET319Pd5//308+eSTGB8fR1RUFOLj44M/eF4etRAQKexFgCOXlHEOdHYiLY3aJSYkhHtAXsA5LXxeGGOwTv0rV9JGUnEkJbnzozoS5y1w6i8qosXFR3pQrLv+5FJOTkSJQaW+QQYDpbSsVtXPpSxCJhAfTxWjeXmy31/4XNXVqbiAFxUBa9dKr3TkHHj4YfDVq+EwGjFx443qEjLAbUFx1FEq96MKEXFxRMaTkmCfmPBZZSkkh2r4+EqCsMpoaQkb4Qloe2Ew0IQcHU3RRwW0W6ohLY0I2TyvtWAglC6jo5QEqK+vR1NTE77//e/DbrcDAEwmE+JEq69gISJsej6PCuLIJWUWC5CWNlvWDehwo+p00gw3b9cnp3WSmO/HxlRYBIuL6YbVSW8/r62TTCYap49G4BYLTRy9vb6rA0WETFhjqIKkJFqgVdTqhUTIBMQEareHXI0ps24gMBhzu6q3t/u/wbu7gfPOA66/HsPLluHga6+h4IwzVBrYPFittGFwOvWdhsnIgD0rC1u2bsWqFSu8VlnGx7t9fMOWnSsvpx+lPeskQLIPmclEpq0mk67lH0hIIAIpNAcyN4sZGTTHfvxxK/r7+/GjH/0Iox4kymg0yidlAnrV6SmMI5eURUXNEUBUV1MBnK5gNFKex2ab3QWE0styfBzYtk0FbVl8POnfDh4Mu/Gb316W2dkU6vYROSkooPXRF0kwG8htWKQxVcXkpCopGEUImcDMDFlkyGRViYkUzAp1Lg6I/n4ao6/CmZdeAlauBH/7bbTefjv6nn4aRSecoPKgvODQIUoP6lRrNJuyLClByoEDPhfBoiJay+vrw2QfJlzgGaP7yBWNURtBG8NaLLQBW7JENz6FXpGURNHc0VEikDJgMADT003o6rLj739/FjU1NZjxIHiMsdBJWW5uaH9/mEDHV4oC8Kh8Mplos6y7iuq8PCJnbW0hNxePiSEHi/Z2laJlRUVhNcUM2FxchAsnJ73ajQi5lK8SbrORSNm0Q4OLpL+fSJmCpcGKEjKAvuucnJCqMYuK6BCqIj2dturzbTJGRoBrrwUuuAA8Lw9Vjz+OmW99C6Wq5PklIDfXXekoxdxJQ8zRkOXk0M2yf79XnzXGqM6Cc5JNhRX79lGER+WJXbZTf0yMO6Jns+m300NqKrUJkylZqK+vh8XSj8zMRjz00H0Yn3d9M8YQGxurxEiPeBzZpGx4mNTdo6OzvbpUqVAMBSYTkJuLyY4ObP3ww5CbixcVUTBL8c8ZE0OFCWHa8QUkZJ5obKTQqJeoXlISFRcCC7NdIn2pSaQsK4sW6MZGRRYUxQmZgALVmABxT1XdQObbZHz6KUUpHnsM/M47sf3Pf0bsunXqa8j8gTFa+ATh0ckCvUDUbzKR8N/h8Jl6i44mYhZ2W66yMiKOKqYIFWmdNDFBY9RzKjM93d2FfmhIst5HOPWvW3c0nM5JJCYmIi4uDmyehjLkSNkiwZFNyrKzKQrV0YGYGNKrd3To756YSEtDVXMzlldUhNxcPDFRxWgZEJbKp6AIGUBRPafTpz8U57R2z8/KifSlqpoyAdGwfGYmZO8I1QgZMLcaMwRWNT5O2W/V3ECETcbICPCtbwEnnggwBucHH2DbBRcgJSsrvIRMwGKhcY6NhcWzbj58tk6KjXWfTx8WFGlp7gKqsPHLxES6PlWyylCsl6XVClRWUnFCXZ0OBc4eGB+nrhkSejTPb530la98Be++24X7738dl19+OWJiYhAfH4+hoSFM6LVVls5wZJMyk4m8glx5y7w8Wlv0pLWdmJjA5p07UfSVryC1uFiRYxYV0Vqvig3IyAhFHzVKvwRNyADaxufl+bTIEPrwjo65H0PT9CVAC58wa5UpYlWVkAkIdbfRKHsxUSjg5h8HDwL/9V/UZPyb34Rz505st1jU8yGTi5QUIuQhVLcqgYC9LNPS6ItzOPzuZNvaSMsatuLsjAzaiHV3K2rdo3hz8awst6WHaiZ+CiAmhs5nT49fIbavXpbR0Qz5+cfjoYeehM1mw6OPPgoAOOmkk8AYw2233RYhaH5wZJMygHQcTifQ2YnkZIp266Vz0AIN2cyMImXeiYnAsceqVJxUUEDREw2iZbIImUBhoV+LjOJi4hieT2sq9BcoLCRiJowcg4AmhEyguJgq3mTaOigUcPMOpxP44x/JxqOnB3jpJTgffBDbq6v1R8gEcnLcefQwsBnJzcULC0kE7uf6SkqiDGLYbDIAGmdpKW3CFYDihEygoIDWpPZ2fVcTFhTQOe3s9HrD+msuLvYa7e2A1WrFRRddBM45ampqsGzZMtx7772Ijo4GYwyPPfYYuJ6jhmHAkU/KYmPpRjUawRhdMHroHORV1N/UpFh/RKHHV7wfclQUncSeHlV9Y0IiZIDbIsNi8ZpbMZspCNDf764JMBqMMDCDNulLAaORFhOzOag/05SQeWJ4WDYh97RTUOzSaW8HTjsN+M53gNNPp9ZJ556Lfc89h+zeXpSGXfQUAE1NspvAy4VkQgYQCWeMNFF79nitdExIoHupu9tnC01tkJ9P973TSelhmVCNkAmUlZFdRrAO91qjuJjm+nm6A3+EDKApNyuL+JznUrZkyRLs378fnHO8/PLLAIBvfvObMBgMSE1NxZYtW1T/SIcDjnxSBpA2wqOc1mYL3HJHTfisshTVCAqF4Bsbab5XXO8hJj+VevqFTMgEcnLouzcavT6dm0sBKsExhiaGYGAGbSNlAkLHIaG8P2yEDKDuDi0tXqtbpaCwkPT3IWl+OQc2byYitnIl9Xh5+GGKkKWnY/v27UgoKEB+QoLk/rJhQ2oqER6NWgcFRcg8wbm75ZqXCaWggDhGfb1mDhW+UV8v+V6aD9UJGUAkV5z7kRFN264FjdJSKvpwjTcQIRPIz/e/lJ177rngnGNmZgZ33XUX+vv7sXHjRjDGcMopp6Czs1ONT3NYYHGQMoAmFddCMjhI60o40tp+bS9iYtx+YApU5AmzZsU7JJlMtNvLylL4wAoSMk+Mjnq1nhDFcCtXEiE78+kzAQBnl5+tzPsGA6ORJuj6er+6rbASMmCuOEzGNWowuOUDQa2ZnJNw6b//m8awaRNw333AF75AEZxrr4WT89nm4kUbN7ptMvScJkpMJJ1Rb6/qBFI2IQNIp7l8OW0evDSIFjYZJlNIQSplUFhI/9+7N6isgyaEbD4aG4no+nK0DjcYm63IPLB7N+wNDQEJGUBL2fLlRM78wWg04s477wTnHAMDA/ja176G9957Dzk5OWCM4fbbb8ek4ukefWPxkLKeHkoNDgwgL4+uNa030ZJ8yIqKaIuhwOASE2kj3tamgo1PVhYRSAWhCiEDKMVVX++1OCEuDrA7h3DmU2di+6HteParz+LkopOVe2+psFhoVzow4NPPJOyEDCBWtXQppdtCMKkaHga2bg2Q7uKcIh533kmbgPXrgXvuoZ37E0/QH//730BpKZxO5ywhm9WQiZZW+/eH3fTYL/LziUA2NcmOQAZCSIRMQIhybTavOiOrlVrahVhAHjqio2mnNTUl2aU+LIQMoF2h1Uprk6fHns5QX1+PicZGrLRaYTh4UNLfpKcHZ2uZlJSEZ555BpxzVFdXY8mSJbjnnntgtVrBGMMTTzwhc/SHFxYPKUtPp4WvtXU2593VpYLmygckG8MKDZxCOYDSUso2qKLL55wOrECoWTVCBtBJMBi8VhJNO6Zx4b8uxPZD2/Gbtc/igiUXKPvewSAnh9IETU0Lvn9dEDKBuDg6pzabbHf6+Hi3K/yCS72tDbj7blpY16wBfvtbKjJ49FEiYq++ClxxxWwli1dCBrj9tgyGMFnPB4HKStXaBilCyARyc4lEDg56JTvi0vTR0lc7JCRQqGZsLODmIWyEDCCN7urV9P+9e8N80rxDpCyXX3ABDNnZND9J1P/09MhTuSxduhQ1NTXgnOM///kPAOCqq64CgCPe7GzxkDKDwT2ZDA2hoIA4hRbtHIN26q+ooMVEAcTEkF2bzaaCPxtjdD6bmkIKxalKyACa8EpLaazz0pi3v3k73m1+F7858WGsib5ASYN9eaisXBDG1RUhE8jNpYiZzGipSHcx5rJDGhgE/u//gJNPpvTTnXcSSbn/fvrO3ngDuPpqtxbHBZ+ETCA2lsI3wlBLrzAaaXFOTaV/K1SRpighEygpAY4+2mcYxOGghbimJsyekCkpRMz8FHuElZAJCGJmMqmgNQkNczRkoqFtVhZ9wRJ2+sPDtMaGUsfypS99CZxzUaV5xHcl18kMrxGys6nKra0NViuJU9U2GZbVOkksvBMTiuzwS0qAdetUMuMvK6M7TmYoTnVCJuDFQf/+bffjvm334bubvov/OukqJQ325UP0y3O1AtIlIRPIzCRWNTUlq5rEyiaxouHfyP+vC4GsTOC664iA/eIX9EV88glw440+82EBCZkAY0RyWlv1ZVLoC4cOUdQkRGKmCiED5jaCr65eoNkTa/f4uA7suNLS3HYzvb1zzqkuCJmAxUJR4crK8I7DA15F/YzRGLOzJbn+Z2YSMddpu1ddQmezvMowGqnC0W4HHA4UF6uiVZ9FSL0snc6QmkF7wmSij+50qpCujYujG/TQoaAVvpoRMsDtoJ+TAxiNeK/5Pdzy+i04p/wc3H3q3XMM9sNutB4fDxgMaKitxUBnpz4JmcDMDLB9u/ST5nQCH38M3HADkJWFpKu/guSaTzFy2U0k5K+pAX70o4D9eyQTMgFR6FNbq7u+kwtgMJC2MIQLUTVC5gmn093Eet45TU6mYOrBg4pYL4aO/n7SFrrmU10RMgGLxb3J2bs3rNep3ypLMVmuXEm/+9mQxccTJw6rVcphBp3O9CoiP5/CRi6bBFG2q3R0JNTm4jAYaFbr7VVMZ7B3L81LikM4sQZBIDUlZAKxsUBxMQ4MNOKif12EyrRK/P3Cv8NoMM4+XVBAIfewuZO70NDQgIktW3BMdDQMMg1bNYHJ5DYl8heFqqkBfvhDIlsnngg89RRw7rnAG2/A1HkQCY/eA6xdK8mcNmhCBtD9JExQddR30iuysmie6uiQ1cRWE0IGUNZh5Ur6vapqwSRaUkILcm2tDk53Ssqs55Zt5079ETJPiHYsPnzh1IYk2wvG6F5yOGicfjYQWVkUVNO7rFMvWHykzGBws/upKdjt5EStZCo/ZEImkJdHE59COYDMTCIcimdwzGYKaUtsExUWQubC4MQgvvT0OTA4OV7+2ktIsMzVGhUWEjcIpmpIaYiU5bIzzoBhdFQb4WMoKC4mzVZd3dyZt7PT7bS/bBmJ95cuJULW3Q387W/AGWfMnuyBgcC8XhYhE7BYaBxjY37bx+gCJSWkLztwICi7BM0ImYCodJycJGLmISIzGunrLi/3aRWoLUpL0W82o/2jj7AhP1+fhAwgJnvUUXQu9+zRlM1I9SGbhdFI9/7Bgz5bOmRk0EvCKgs5jLD4SBng9jxqakJsLMkODh5UJjqiGCEDaLEqLKTVSoEcQFYWRYOamlQQ4KanU6w6AMJJyGacM/j6c19H41Aznl/6U5QML1wpDAa3XCYcno5zNGTCdqS5WQfmT34gDN8ASrk/+SSRrbw8Mng1GMjKoqMDeP114LLLvIo5h4aIf/rSn4REyASSk919/VTsSBEyRCVETIzkcWpOyAQSEuj7t9sXRHbi492SwHBHy3r7+lA1PY2lxx8P68GD2pXey0FcHLn+z8wQMdNgrEETMoGyMndk14vPotVKdSESlocIsFhJmTDE6+4G7HYUFtK1LyNTMAeKEjKBnBzajSqwgDBGRYh2e+if1Ss4p1yFD4+1cBIyAPjuW9/Fm41v4v5z7sdJS86kcfogOy0ttPHXct32KuqvqKBIZNhL2fxgZgZ4/32Kip12GnDllTQ5/+AHNO5t24Dbbgso4CwsdNtkzA8OKELIBAoKKHqndpVPqDCZaJwSGpeHjZAJpKUBGze6+3nOQ3c3NV4IFw+a1ZBt3AjLmjVEeCyW8AxGKuLjaZwahO3lELKZmRm8+eab9I/SUrzW2EgLS0sLXnvttdnXid9nZvRtF6gXLE5SBhCzZwxob0d8PEkO2tvl7+ZUIWQARRnWrQtsjSwRKSkULFDFo5IxuvNaWxfcfeEmZM9XP48/bfkTbttwG649+lpipyaTTwf9ggK/TysOn1WWZrObmIU71OANL7xA2sezzyZiduWVVDXZ1ERVlEuWSD6UCA5x7rLJcJ13RQmZeCNByGw2fedVxLUwMEAbHi8XY9gJmYDIUba0UOrBAwkJdPn6+AiqYoGo32h0e8L19enatBUJCUTMLRY6cSqIXeVGyFpbW3HmmWdifHwcIyMjOOfaa9EZFweemYlzzjkHe/fuBQCcc845ePXV17F5s/67nukBi5eUzXOQLSykgJQcJq8aIRMQN8rwsCIz2rJltAFTBaWlNEYPHVy4CRkAWEy0K86Nd/VANZtprENDNDHPg9lMUfnhYZWiih4IaHuRlkYakyCblquO554DLr6YGOyLL5KG7P77aRGprpZFdqKjiYMODVGGUXFC5ompKRL9e2kbpDuMj9NcNc96RjeETIBzCi83NMy5r6KjAzasUAV+qyydThIxVlXpvyIXIM3m7t2KEjPZKUtg9n78+c9/jnhXbvL23/0OzGVBcv3VV8/eV9dcczWSkyliqvdbLdxYvKQMwKyDbG8vEhMp7x0sZ1CdkAkMDQE7dypSW2w2U7BgelqFcHJ0NKVbXJbeeiBkAHBO+Tk4r/I8/OzDn6FlsIUezMoikbIPA9TMTIoqNjWpl3YJyodscpLEtHpIYz73HPD1r5Mx63vvAeef704HTU/TgiyzyXZmJm0a0tNVJGQAmXaWlxNTUKXlhYLIzSXrmdbWWdGd7ggZ4A53JiQQ2fWIQomGFY2N2nCggLYXBgNdaIxpLqiXhYwMOnESW0cFQiiETCA+Ph6//vWvAQArV67EP//5TwDAl848E1t27gRqanDLt7+N7u5uZGbS1KDn/ut6wOImZVYrpQY9NBvT09Kj2ZoRMoCMT+PjafFQYFF2Oknqo4AN2kIUFgJRURjcuVMXhAwAGGP4y1l/gYEZ8K3XviXcod0O6j4muYoKWl/U4EFBG8OOjZGYNtwEwpOQvfHGQgVvfDxVD/b1yQ6LJCURIYuLS0NRkQqETCA72012VOo7qRjKy2keqK2FvadHf4RMwGikjiQWC0WhPMT/S5aQLEDtHvGSfciio4mYORxEdvScyk5JoTTHyAid1xDkDEoQMgB4/PHHAVBE+5FHHgEAjI+P4y8PPggA6KypwS8vvxwA0NFRBbM54lkWCIublAFut2fXqis1m6EpIRMoKaHdnALxf4OBAkXd3SqI2Y1G9GdlYc/kpC4ImUB+Yj5++YVf4rUDr+H5mufdT4yMAJs3e93CRUdT5lDpjyDLqT8lhQhEe3v4dDCBCJlAXh6Nt6Eh6MpRkbJMTExFf3+J+ma+5eWkMaup0bcS2WAAVqzABOfY+/bb+iRkAlFRbnNRjwkmKor6ymdnq/fWQRvDxsXRWCcm9M8Y0tKImA0P00IlA0oRMgD48pe/DAB46KGHsG7dOgCUziwoKAAA3P7EE0hwkfIbbrgO6em0V9OjPFYvYPwITfCuXbuWb9++XdqLOzvJdmD9etiGTKiqcrf48oawEDKBPXtoktu4MWTzn5kZqoiKiyPioRQWpCw5l2QKqgUcTgeOfuhojE6NovrmatKaOZ3kSu90zjEW9sTUFAVTiotDL4YKqXWScNA3GEi7paUBlFRCJjA1RWNNSJDcy3W+hqy5mc778uWy22xKg91OfmBqsgUFYLfbsfWTT7DymGP0S8g84XD4vEYHBuheUtIqISSnfrtd+d2XWujpoUhkYmJQf6YkIRNgrrmdc46EhASMjIyAc45Vq1ahqqoK/OBBnHfxxXj5s89gt3M4ne5YiIz32sE5X6vIwHWKSKQMoFlhagro6EBqKpGU1lbv0bKwEjKAomVCTBsiPG3QlMrzzyFkFgsJU8OdbvOA0WDEb079DZoGmvDA9gfoQYOBzG8nJnyOdWKCMofNzaG9f8i9LE0mGuv4uLalTMESMoDCIqtWkcZIAryJ+ouK6K3q6lS2U4iOdhMynfpXCQ3ZLCGz20O/INWGIGS9vXNKL51O+k6rq5WLmoTcOkkQMmEurOeARUaGm5DZbJL0FWoQMgD4/e9/P/u713RmcjL+4np8YKBTNiFbLIiQMoBYWGoqlXE7HCgspPluvvN92AkZQCvUpk1B75B8QdigKdGfbkGEzGCg3Vx7e1jahfjC6aWn49SSU/GLj36BwYlBejAxkRblgwe9Et6EBNJad3TIzxwq1lw8OZmIjkI2KQEhh5AJxMW53Xj9tAvzVWUpfGnn22SohtFRYOtWip7rCF5F/b29tHvUe8cHgO7/rq5ZEmkwUDbCbldG16poL8vBQZKI6L3rA0DXa1VVwJtDLUIGALfeeisA4PXXX/edziwvBwDcftNNGN9Sheoqh173PmFHhJQJFBSQyLOzE2lp5IHouTbrgpAJGI2KRctEFizU4jafVZYlJbSyKtQqSgkwxvCbU3+Dfns/7v7kbvcTJSVUmuojbFhcTByzri54cqAYIRPIzKSoGefqCjRCIWSeqK/36UweyPYiOprsSaxWDUhZbCwx8AMHFOs5Gyp8VlkWFFDEpLFR/0UKBQW0A2xrm9XEJiXRvuLQodAi9Yo3F8/NpRRCZ6eu5i2viIujm6O31ycxU5OQAYDJpee4+uqrZ1OZN910EwAv1ZkvvQQ2OICeLc3o6YwIy7whQsoEEhNplmhvBwPH0UfTGg3ojJAJtLaSRYYCZdxCIzU+Lm9992t7YbHQhNzbq0w4TiGsyV6Dy1ddjns234OOYVfjU7OZNGUukep8mEykCR8bW+CN6ReKEzIBp5OuAVVKaAG8/bYyhAygPKSXcJdUH7LsbIqsqLCmzIUIzZnNVPUT5mq8gLYXlZX0vVRX67sVF0A3j+jn6SKRxcXEg2tr5bk8KE7IBIqL3SRS75HIvDxarHp6FuwY1SZkArfccgu6u7tnCRpAZG3EtbExGo2oqqoCAMSceRJOvWEJikstMJlMkn/M5NPovWXEEYQIKfNEeTmwejXA2KwUYmBAh4QMcFchKKTXmpggi4xg5x9JPmT5+RTm0Nnk9j/H/Q8mHZN4veF194PCoHV01GtUJy2NNqaZmdLeQzVCBhBDSUoKPdTgC3fdRd9dqIQMoHBXeTmlhlxaODnGsGNjwL59Kldvmc1UWTA5GR4Lehck+ZAJ+wmjUVfaTa8QhDcubtYTw2CgTHxhYfAFNKoRMoHycopE9vfrW18G0EayqIhSxK4G9loRMgC4++67kZ2dDYfHjen5u3Oe5s3hdNCPQ/rPDLF2fVSMqYgIKfNEbOyc6pvOzgk88UQtcnNX6ouQAURycnOphFsBJ0arlQhHe7t0VwDJxrAGA5WcL18e8jiVxLL0ZUiPScfHbR/PfWJmBti1i3b0XpCXRxr2QPO0qoRMoLiYSpnq6pRtwdLUBHzwAXDttcqVx2VlEZttaYFzYECWMazwpVUrODiLhAR3zjQMCMoY1mKh8ukgWlqFDUYjbXxFGgLE0XJdjTak+gGqTsgAIpFLlritPfSOoiJyQE9O1pSQAUBMTAwOHToEzrmkn6kpjg9eHEDDhwcl/43LKULDbsThQYSUzcfMDLBvHyZaW1FTsxmVlUUYHU0N96i8o6CACI9CFVglJTQpStlwB+3UHxtLE7LTqRuTGsYYji84Hp+0fTL3CVGW2tfntQUTQORg927ftkaaEDLAHWqYmoKihl6PP04L0ZVXKndMACgvhzM1FTuqqmQ59Scl0WV/6JDPr0Y55OZStETjBVmWU7+4v2ZmdFeksAAiDTE6Osedvr+fLHoCKTI0IWQCBgP9iBveFYXSLRISUF9fj7FDh3B0SoomhEwOzGYge2kSLCUuNj42FnapgF6gz28snDCZMDk0hP2vvYZVK5dj1aokDA3p9F40mym9NDqqSJQkOppkFJ2d/uUpslsnCT8wHZXxH19wPJoGmnBoZJ4hb34+LXQHDnglkUJj39CwcC7RjJAJxMcTUxkZUYbwOhxEys44Y063CyXgNBiwfXwcKbm5slsnedpkaOL1OjoK7NihSRuekFsndXbSidGywaRczMyQznTfPsDpREwMPeQvY6wpIZuPqSmqdNRJAYg3iAjZUbm5MLS16TqlXVHhml6cTiLne/ZEiBkipGwBJiYmsL2nB2U5OUgDCYyjokhXr0sUFJBFdqiOpi4UFdGhfM07IfWyFBqojg7diJJPKDgBABZGyxgjEfXkpFcSKZ6emZmbStOckAkUFipnJvvuu5TH/uY3Qz+WB+ZoyIqKaDGWEdURwUGHQyOrNoOBJALV1ar2HVWkl6XopHDggE53kh5ISqL04OAgUFcHq9UtO/RWSBNWQmY2U4rYbCYCocMG5nNSlmVltHi1tOh48XKZCIwb3N6Lu3cvemIWIWUeEFWWlccfj0RXPzyDgYImQ0M67VdrMBBDcDgU8QIzm6lZgLduBoo0Fy8uJuKgeu8caViTvQax5lh83PrxwicTEmiR80F4Y2Pp2ujqog1/2AgZ4E6zKJG+euwxWtjPO0+ZscGLqN9goGu2oUHWAhcTs0CapB5iYog8DA+rJmZTrLm4ENNHR1P1qC4nLQ9kZtKc0N0NNDcjK4u0rc3Nc/dtYSVkAhYLmSEDRMx0ZLS1QEPGGIWiMjPpZOqsyEqgoYHku47EFNLu2e1EzPTc7kxlREiZC3NsL9LTKQI1OgrYbMjJIaISrrlAEvbskd0LbT5EsGVoyJ1GUISQAcT6ioqIxaguCgoMk8GEjXkbF4r9BcrKaLw+UFRE69+nn7aFj5B5QqSv5jsfS0V/P/DvfwOXXUaLkALwWmXJGIW7DAbZEaiEBDcPVd2bOD2dGHhHh+L9ERUjZAImEy1wnNO1oHcUFlJUZ3gY4ByVlfQRxPSgC0ImEBNDxMxkUjVqGgx8ivpFoUJGhm5TrunptDez2UCm2KtW0UZCx9E9tREhZfDhQ5aZSdvwhAQYjZTCBHSjUV+InBy68eQuxvMwMEA7mJ4eBQmZQG4uhZl6ekI/lgI4oeAE7O3ei6GJId8vstkoJDYPBgMQE9OItLSu8BMygCJ78fFk1ipnt/mPf1AEQKHUpV/bi6goWjRGR0My6dy7d1aWpC5KSijlpiApU5yQCURHEzE7HCoyAYrquKoczWZg7VriaroiZALx8SQVEHNhGMlZwCpLsfkRrc50QiQFEhNp7zd7SyUlAWvWhO5mfhhj0ZMyn8awjFG0TPhWwd3NQpfIzCSi09ysiKdOUhKVqu/ePYQ9exQkZACd2yB6IqqNEwpPAAfHZ+2f+X7RoUOk05mXDmpoaIDdbsP69WvBuSH82SKxO3Y45LWJefRRmhRXrw55KJJ8yFJTiUj29MjWkhQVUapLdZsMxsgTbOVKRQ6nGiETECse5/p3/GfMXeW4dy+iJkfQ29uL7dtrsWyZjgiZgKjIra+nhSEMZEey7QVj9DM1RYVWXjaX4QJjtHT193vc/nFx7mvhcEjBK4xFTcokOfUPDMymAOLjKaSuy0gwY7STHx+nFIsCh0tJ6UdNTTNycjYqR8gELBb3RBFmbcaG3A0wGUwLxf6ecPVu8ywNm68hExGbsPtMxsaSTqevL7gqvD17qEPA1VeHPISgjGFLSig04rEBCgYpKe7MouoZcZOJrtvpaYruyfyyVSdknujqIuJwOFRkOp3A+DgGPvwQNTt2Ii5uPZqbrXoL8LiRkEBrxP79mhIzWT5kJhNpcGprdXUtpKfTbbTA/3py0p2y0UlhmBZYtKRMcuukiQnS6fT1IT+f1g3dtkNLTaUVSoGqK5vNhra2vTjxxCXo6bGqs1nhnEhAmHUvsVGxODr7aN+6MoAms7IyOrcdHV5F/cKdRBdyiLw8ivQGs+A/9hilFC+9NKS3Dtqp32Bwu/F2dMjSCBQX06aptlajjXV/P5V+ygjPaUrIAKramdfeSLewWNCbnY2W1lZssFqwvJRjfFwn95Q3ZGVR6tVmU706V0C2MazBQJHe1FSK8AXTK05FxMWR521Ghpcn1qyheWHXLtIcLgIsSlIWVC/LrCzSDjQ3w2jgKCwk8q6jNo5zsWwZ3XghwFNDtny5FVFRKlWAM0bkob8/7PqywsRCVPVU+X9RdjaQmoqDH32Egc7OBRqytDQKxbe26iCaKiKnoot3oMVi+3ZKXV5wAU3aMiGnddIsRkaIOMhIuxoMdOknJWnQHxOgLzovjxa2IKIOmhMyYG57o+pqHVycvtHb24vqlhYs/drXYDGZkHJwL7JSptDWRhseXSInhyLpfX2qbzBDduo3GKizSloalT7qIJXJGAUcvXo0x8YSYzObKZK/CLDoSFnQzcUZo2342BjQ04OcHFrndLLJWAhh3zA5Kaskbb6o32KhftSqrR+5uRTi8ObCqhG2dWzDc9XP4dIVgSNEDQYDepOScMxxx3mdFMvLaf6ordWJppZzyqn6aBkFgAjZaacRGfvtb2W/VUiEDKCZuaiIVL8y0ivR0bQfEUU5qqO0NChPsLAQMgGjkbRwotG6Li7OuZgj6k9LmxX+lxY7YTIt6LWtL4juD1Kb4sqAYq2TBDELNpKuIiYmaAnwumRZrRQxS0rSelhhwaIiZUETMoH0dNplNjfDACdWrKCNp24hwr1B7tp8VVkyRofs6lJhLhcurEKjozFmnDO44ZUbkBWXhbtOucvvaxsaGtA/NoajzjyTJkUfTv+ipF/JVpSywRjtNjs7vVfmCkKWlES9LgsKZL1NyIRMoLDQnWqTma6YmiKrI9Wj2Z6eYAHSmGElZAJRUe4Cm3BXCc+D1yrLxERg7VqY460oLwdSkpz6JWUAETPx3Q4OKsogFe9lKSLpUVE0qSts8yIHBw960ZUJREUpVmCjd+jrzlQRsgkZQBdwaSktWIwhLo42npzrdOfGGAmcBgclW2QEsr0YHqbojyoehHFxlApyODQ/oX/e8mfs6tqFe8+6F4nWRJ+vW6AhGxgANm/2KkBNTaWNnWYRm0AoLqYoVF3dXMHVfEJWWCjr8IoRMsBdwm+xUKmzjOvBaCRiVlOjgQelyURER5iKeoEuCJlATAyRHYB0UDqImPm1vXDltDIG6lA8vh8GpscJdx5GR2lXoFBoT/Xm4t3ddLOoXr7sG1Yr7W10KwvSEIuClIVEyASSk0k74JokJieBrVt1kZL3jpwcipA0NgaceKX4kCUmUsCwtVUlIXVJCUUdNGz+3DbUhh+//2OcU34OLlx6oc/XeXXqj4uj//shDqJHeNjXPUF0OHePV4+ETMBkojzk0qWyrgejkbIzgfooKgarldKCTicVKni8oa4ImSfGxymtLZP4KgXJPmTx8YDNhoEt9ait0Tkxi4ujjVBXF+kjQzi/qhMygLSyeXm04z5wIGzXQ3IykTJdBjo0xBFPyhQhZJ44dAg4dAgWC83DLS06WHS9gTGqFpyY8CuAC8YYtqyMDqtKhySx+I6PaxZKv/X1W+HkTvzl7L+A+Vj8fbZOMpspT+mn3HJsjE69LvqvR0fTeCcmgE8/1S8hE4iLo+geIKscPjaWrtf+fg07zPT306LmSsPrlpABFDErLaVIepgiJEEZw+bkACUlsB+0oWtHh343wwKFhfTT2elfz+kHmhAygbIyt69MiERSLpKTKVmySIosfeKIJmWKEzKAQv5NTcDMDEpKKGKmgC2YOkhOpvCWDx+wYJ36LRaaZ/r6/OT+Q0VrK4X9VW74+2Lti3ip7iX878n/i6KkIq+vCdjLMkC5pQiutrdTy6qwIyODtERf+pK+CZknenuBbdtkGZDl5NDlr4oW0hvS0khX1N4Oe3OzfgmZQF6eu4JU48olWU79BQXIXp2JRHsXGj7u1H97xOJikrwcOhT0hKkpIRMoLRVtFMJi2JqURJIP3X+vKuOIJWWcc+UJGUA32swM0NaGpCTSdba16UTU7Q3LlrmNTz0gt3VSXh5pplSbJ0Szajlu9BIxMjmCb7/2bazKXIX/2vhfXl8jubl4eTnNJD4m3dJSt19j2Ft0bd8OnHkmzX5PPUWsRQY0I2QAXWzCgEwGUa+spIp6zXTtZWWYiI5G7X/+g6OKivRLyARKS4m5NjRoZtAZSuskVlaKyo3JcMbEyQ1AaYuSEuCoo4KqcgwLIRMoLgbWrXO3kNIwYmY2A8ceS5fjYsYRS8pGR0eVJ2QApVUyMig8NjWF4mIqHNRtOF2k5UZGZo1+QullaTBQEYxq1clRUTSRDQ6qdlJ//P6PcWjkEB4890GYjQtd5CUTMoD0T+vW+Yw4GY3U9chuD7MBpqeG7LXXiCHW1gZ9GE0JGeAu32eMrByCZLYmk7t3dGenSmP0gH1iAltGR1GydCmSu7v1L5AResMVKyjnqzKU6GUZs7IUhSvi0dsLDHYdBi14kpPp/yMjpHfxg7ASMgGLhf7f3q4r+xRH2He12uCIJWXR0dHKEzKB4mK6UFtbER9PlXa5ueq8lSJwOknUW18PW1+fIs3FHQ7K4qoS5c7OpsqCxkbFvct2HNqBP2/9M25aexM25m1c8HxQhExAeMONjHhNYyYlETHLzw9h4KFgvqh/6VIivjZbUGkrzQmZgNVKEd+xMdnmnN3d9KdqdpcRGrKVa9Yg8fjjiehoWLgiGwYDpV4BEvSoJB1Qsrl4QQGwLNOGxNotGvTWUgi9vUTKfIhMdUHIPGEw0Lndt08zYjY+TkXt8xtPOBwObNu2TZMxhBs6+ObVgUkslGogOpqImcv5PDGR5l6dbCgWwmAAiosx1N6O2o8+UqS5+PQ0BQtV0QgzRq1LsrMVzTvNOGdw/SvXIyM2w6snmSxCJsA5uaVXV3uN5mRlUXheirm+ovBVZSny0E1NkqzSw0bIBJKT3WatMpCVRX/a0KCOM/wCUX9MjDvyZLPpP2IGuK/hvXsVF/YoScgAmiIyKpLAEuLhqKo+PLwUiotJMtDauiBipjtCBlCkobKSpBlVVZroL6xWuvQ8v05ByDJVNObVE3Ty7R+GmOeG3N9PDF+vDe1tJhMOdHVhbXIyohUw0LJa6RT09qok+o+NpWiO0ajYIe/beh92du7En8780wJPspAIGeA2wbXbfZrgck72RZppYQLZXixZ4m4/4Ic0hJ2QCeTnE7sCgiY5jNHHNZl88mbZ8FtlOTBAC5ouSnADgDFKFU9PK7oIK03IZmE0YrhwJT5vSMfg5zX6L9tjjDSoWVlEylx6Bl0SMoHsbLpxBgfpmlB5c2Ew0HQlSJknISsuLlb1vfUCnV0BhxlmZmgBHhtDbCz9M4BkICyw2Wyo2rcPyy+4ABbGqDJBAeTnU9BQVS+uoSHauYf4Bu1D7fjR+z/CWWVn4avLvjrnuZAJmUBSEkWgOjq87twZo6hqZ6eK1asCUnzIzGZKCy5Z4jPNphtC5om+PjIJDDKaExVFmdvxceUivAFtL0QJblubLlzTAyI+nq6J0VHSE4W4CKtGyFyITTLDtKQMdZ0JcO6p0n/pnti8ZWYCw8Oor6vTLyETyMqiGycjQ5N0fHIyKRXGxxcfIQMipCw0cE4ileZmWCwU7e3q0qyISRLmiPozM2mBUCi1azDQxm98XMWKeqeTGEyIKvlb37gVDqcD95193xxPMsUImUBxMTHVujqvJblFRRQE9PG0MgjGGDYx0W2EO886RZeEDKAw7eQkhbyCJA3JyZQZz8sLfRiSfcjKyui7qKvTfzQHoLR2eTnddyGI8NQmZAAF0itXmGHPK0eLsVRHbTT8wBW2rTebMTwygqNXr9YvIRPIyHBXaw8NqdqnmPzKHHj//d2LjpABEVIWGsxmChf19QHDwygoIL6jl0yF1yrLigpFFecpKXPkdcojOZl2lW1tstnui7Uv4sXaF/Gzk3+G4mT3Da44IQNolVi6lHaXXlKvBgMFpoTbv+KQ69Tf3k7RJ1dHYN0SMoBIZGUlpVRk9EvNySHJFyA/QxeUMayoII2KklVBGhbk5FCZtUzbFC0ImUByMpBVaEH7dBbpBUdHdR8xqz9wAMOjozh61SoYdu/W3CdONmZmKI25Z49qxMxqdaC/vwr5+amLjpABEVIWOvLyiJw1Nc3haCp7nwZEQNuL3l7FHE0LC1Wupi8rI7Yrw2l6ZHIEt7x+C1ZmrMTtG2+ffVwVQiaQkEAhMR+h/vh40uMNDyscLQuldVJ6Oo23pgZOh0O/hEwgM3PWqFVqf9f5OHCANH7BZsZlOfWbzURyyssV1UmqitRUuiYmJ4OqcNSSkAmUltIptvU63aRBp+aRczRkZjNFfhsa1C0NVgomE6W3x8fp5lGY/DocDmzfvg1r1yZi1aoiRY99uCBCykKF0UiL3+AgMDCAvDyyyBA78XAgICFzOklUo2A7jelpCgKoUgRlNtOsOzQUdPn7Tz/4KTqGO+Z4kqlKyDwxOAjs2OF1R1lYCBxzjGKZ5NB7WVqtQGUlnIODqPrPf/RNyARKS4kAyyynTE4mB5Nggm0htU6KjXVbT4yOHh4VmQCF/iXe3OEgZABNEevWAYXFBrcx4N69uotKLhD1M0YkJzWV5mMtzPRCRUoKsGoVVbXt2uWzY0ywmC/qHxvTfcBTFURImRLIyaEqFYsFRiPJdIDwzLmSjGENBlrQxsYUmwSMRlpnDhxQSfSflUUpoCC853Z27sSftvwJNxxzAzblbwKgISED3CfFS57SYKCnHQ4FPHKVai6emop9/f1IGx9Hqd6d6AE6iatXU/5cBkRXpIMHF/oieYNivSxHR4msh9VNOAiUldEuc98+vwQ4XIRMwOzygR41J8NetJQYt4YeW4Hgs8pSpLdTU0l32NMTvkFKRVISETPhjRQi5hOyyUnqrnY4nAqlESFlSsBgII2LR3istRXYuVNbYhaUU396Ot1Yzc2KaAMMBpq7VRX9ixSbhLSEw+nA9S9fj/SYdPy/U/8fAI0JGUB5ysJCqrrzkWLr7CRHCpkZOOUImUtDFrtqFXKXLtVt6mcBxPc4PCxLpFdaShK12lr/G35Fm4vHxVH6taXl8Fh1TCZagE0mSg16OVHhJmQCDgdlLuv600k/OzCgC71WQNsLQcxycty7er0jMZF6mIWo+/Jme2Gx0HJ6ONjPKY0IKVMSdjulBTmH1UobNdmLbZCQ1TqprIwWX4V27KmpFH1obVUsor0Qo6PAli0BPSWe3PMkdnTuwJ/O/BOSrEnaEzKBwkIiZ/X1XmPxubl+nw6Mr3yFJkelmotXVNBEe7g1oBsclNVY22Cg7JHBMFvjsACKEjKBigr63mprvXaB0B0sFiJmDscC8qsXQgZQ9Lm4mC6HTmSTji9srTQIkn3IDAa6LiwW2s0fDpW6MTFu3eGuXUGLqf35kCUn0/eok0CnZoiQMiUxOkrC4+5uZGSQhKS5Wf1omexelnFxtJAnJCg2lrIy+ryqVaDGxFCeor7er17k4Z0PY1n6Mly8/OLwETLA7VrqcHhNFXs+LasHu9VKDY+VIGTzNWSHDimSmtAEBQW0I2hsDLqAJSYG2LDBez9XVQgZMLcic98+VS0GFENsLBGzysrZh/REyASys+m7bGwEpuJdxQpTU2G5lmUbw7a3E8nRalcfKmZmaFeza5dkjWcgY1iyxjg8uKmSiJAyJZGeTmGPlhYw7kRJCV2namo3Q2kuDoCqBDMyFBuP1UprjWoacbGbnJjw6dRb21eLzw9+jqtXX43GxsbwETKB2FhS9fsgTrGxtLvv65PhL3riicDHH8vaTga0vejvp6jI4RDJAYjdWq0kSg8y7Ggw0GaivZ1254CKhEwgKor6Y+bmugVRekdCwmyHd9vevbojZIC7S5vT6dE9o7OT/qGQcbYUhOTUn5tL57q6+vDo7RkbS/pOg4HyxwHmDClO/UlJ9F0uthRmhJQpjZISIgyHDiE1lTIUbW3qRMtCJmQCYjVSyGY+NdXd51GVKGFSEm2HDx70uit7fPfjMDIjjos/LvyETEB4hkxMeM3t5uW55+GgcOKJNGvt3x/Un0nyIausJOJQXX14aMxMJiI5DocsHZHTSWt3TQ0wPKwyIROIi6MoH3BYlZr1VVej/b33sDEjQ1eETCAmhjY6MTGuOaiggDafTU2aWE+E3DrJaKTUa3w83dtSKlHCjZgYImZGo19iJrV1kslESYAwZ581R4SUKY3kZPppbQVmZlBRQdep0t0pFCNkAmInqVACf2aGItnt7YocbiFKSoj5zdtFzjhn8OSeJ3FSzkkw2o36IGQCTidVf3jpNSna4gX9VZ54Iv3/o4+CGIZEY1jRhmliQmZuNQyIjSVPGhniY6NRdBiaxHPP7cPKlSoTMk9MTFC5mR77tM1Db28v9ttsWHrKKbB0d+tCSO8N+fl0GTAG+s/SpW7riZBLnn1DsV6WosAiLo52CofDxig6mha85GSKWs9DsL0sk5IUtA06TKCT1eoIQ2npbEowNtZ9bSolWFSckIl4v92umOjfZCK9akuLbwF1SDCbgbVrKf3qgbca30LnaCfOyDhDX4QMoNB+cTFFtnywVYeDJEaS17nCQlp9JJKyoJ36ExNpzD09ipkNq464OLf4OEhNjtFox+DgDqSlVWJ8XENbEKuVNHEtLbr2qvLUkFlWrCDJRkODqiQnVNhsLjmZaLienEz3nwoKcsWbi4twkah+PRwgNCxmM51jV/5RTnPxqSlaksJtxq4ldLRiHUGIi6Owh8dNtG+fMsEGxQmZQFISeYGF0M5oPsrKiIfU1SlyuIUQfe7GxmbH/OdP/owkcxJuPetWfREygexsWsiam70qWI1GCqI1NUnUyzJG0bKPPgqYK5bdOqmggCoyD5dSfYGWFkq9ShSlCA3ZKacsQWlpApqbNc4oVlSQMWd9vQYd64PHAlG/iD4lJ9MFqzOjVoHubhL9T0yAJqQVK4joKDw/KE7IBEwmt67h0CFdE+AFaG0F9uyBo71dVnNxUTS2mHRlOly1jiAMDc3ahcfE0L0UimZaNUImUFpKE8CsOjY0WCx0yMFBFTf/nJN3Uk0NtlVtwbvt7+LKo6+E1aw/ncssKivp5PhISSxZQl9DTY3EzfyJJ9LF5cenK+RelmJRGBo6fLRPpaV04+3fHzBcO1/UX1lJwQlN+1uLSE5sLI1Zoc2REvBZZSlIjtAS6RDicp/t3GA00hfLOd1kClQ4qkbIPME5yTVqaw+PlkwAUFAAR1IS6l5+GbkzM0H3srRYKOAms2nHYYkIKVMTQ0MUeRoYQEEBzQNym1CrTsgAuvorK0M2A/REVhYF4VQjZS4xVkddHZ7b/H+Y5tP45ppvqvRmCsFkogiDKC+aB7OZiNnYmMQWQEJX9uGHXp9WrLm4aEZcXX14tAgSwn/GaNw+NDneqixNJrdFhqYLgtFIbDArS4bAUB0EtL0wGt3G2a2tuvMwsFgo2NvT466sBUA7nokJup5DIGaaEDKAruMVK9y6OJ1q+TzhALDNbkdCeTnyZ2ZoAQxy7oiLi5AyVcEYy2eMvc8Yq2GM7WeM3eZ6PIUx9jZj7IDr/8kef3MnY6yBMVbHGDtD6zHLRl7ebLNZk5GjuJh4WrAm3poQMoG0NEX7RInWbqtXh3won2gYGIDNbMbbwx/g6IzVWJW5Sr03UwqJiUSAfUQXUlLo8unpkWBhVVlJGkYvujLFCBlATKW8nFa2YBpGhhPR0RR9stu9jjmQ7cXQEDVN0NTiKiqKzrPBQEQyjB5mQfmQzcxQxHbvXl1F+QCSXVos8ziBIMDx8bKtJzQjZALC305o+TS0+AgWsxqyrCzknXoqTWjd3UE7i8fH0+V0OOwDlUA4ImUzAO7gnC8FsBHAtxhjywB8H8C7nPNyAO+6/g3Xc18HsBzAmQD+yhjTZ5x8Pub1mMzKItYfTEWipoTMEw0NionBoqLoVDgcyu94hDGsY1MJdo024Oq0Uw8vC+jxceqD6CW9VlJCtQwBLaw8dWUeUJSQCWRmkndHe/vhY2yZlEQRhpKSOQ9L8SFLSKDARGNjGHbrnJO1QJj6NwZtDCtE6cKrSpUKH3kwGonn5uZ6eUIQsyCtJzQnZAKiDUVmpvJl/QphgaifMRIZr10bdOVbXBz9X0eXk6rQnJRxzjs55ztdv48AqAGQC+B8AE+4XvYEgAtcv58P4BnO+STnvBlAA4D1mg46FKSnU1SkuRnMMYNly2jekoKwETKAJquurnnx/tBQXe03ixQ0PJ36n9j/FEwGEy5Z/jVlDq4VjEaabaqrF0xSBoNb+hIwunriiZQ6clXPqkLIBEpLia3U1rrU04cBUlNnTU8xOCjZGFZ0XDCbac3WVMvOGOXdhoZI+6RhqEC2U7/oMCEIpWr91oJHWhrV2SzgMcJ6IjFRcoVj2AiZgCiyECZeOmIsfqssLRb6v6sAQEoUOC0NOOEEYHDwEADok4UqCMbDGBNkjBUB+AjACgBtnPMkj+cGOOfJjLG/ANjMOX/K9fgjAF7nnD/n5XjXA7geADIzM4955pln1P8QEmAcH4dpdBSTaWmzFT+cA04ng9Ho/fw7HA7Y7XbExsaChWM35HQivrYWYAwjlZWKVCqNjxtRXx+H1NQp5OeHNolMTk7C4XAgxqVl+VXNr/BOzzvYkLIB3y79NvJi8kIer1YwDw0htrkZE+npmFiwlQcGBsxobY1Fbu440tO9i+wz3n4by+66CzseeAAjlZUYHx+H0WiERUyCCoNNTSFqcBCTokn8YQJrRwcsvb3ozsqCOT0dRoni9NFRIxoa4pCUNI2iIm3r8y09PYg+dAiT6emwe7k+lMbMzAwmJiZCmnuMY2OIa2rCeEEBpnVWtdvbGwWHgyEryzdhZFNT4D6qPObPPeGGYWoK8bW1mEpJoesjzPfj2NgYzGYzovxUyZgHBxHT2gqnxYLRkhKf51rg0Ucfxd/+9jcAOMA5r1B2xPpC2EgZYywOwIcAfsU5f4ExNuiDlN0H4PN5pOw1zvnz/o6/du1avn37dhU/gXxwTh6iMTG02ZmPsEbIPNHfT/qQoqIFfmBy0dhIma81a+Q7LHjrZTntmMZftv4FP/3gp5h0TOI7pZfjhxf8AXHR+loQfKK+niqqVq0iQdk87N1LQctjjnE3B5iDr34V+OQTONvbsX3nTnUiZL4wNaVxmaJ82EdGUP3UUygvKkLCF77g1eDSF9raKLCpAS9aiIYGEnZXVAA5Oaq9jaK9LGdmdOmtVVtL0qb1633UUnR3k3Rj5Uqy+/BA2CNkviAm1uxsukbCQMyC9iEbGKDUvNlM0VUfa92GDRuwdetW3HTTj3D//b/cwTlfq/DQdYWwXFWMMTOA5wE8zTl/wfVwN2Ms2/V8NgCRsDkIwLPRQh6Aw6QeeB56eoADB8AYrbvd3QsLlXRDyAAaZEYGLQYK5W2KimgdrKuTJ5Px1VzcbDTj9k23o/6WelxScSHurn8US/5ciWf2PYNwRoMlo6yM2JYPRfmSJUQIfNpkvPce+FlnaU/I7HZyoj8MKsHsdju27NiB4vPOQ0J8fNC59IKCMBEygFLGBQWUhlUJijcXF4Ssr4/OtU60niUlFPhvbPTxgpQUIghVVXPkG7olZABdH4WFVObupWOI2pBjDIvkZKoAcziA3bsXrDFTU1NgjGHr1q148MFXcMklv1B83HpEOKovGYBHANRwzv/g8dR/AFzp+v1KAC95PP51xpiFMVYMoBzAVq3Gqyjsdlp0Bwe9WmToipAJlJVReEYhDyKjkTZyUVHBa8t8ETJPZMVl4fGL/45PT3sGGcYEXPL8JfjyP7+sf2JmMFCUbMUKr09HRRExGx0lM8U5aGwE+vtxMDpaW0IG0OKVmEhj0LHj/xwNWW4uVbCNj8vy5OvroxZimuvLSkpIk8O54hbnihMyTzgcJKDXiZVKVBTxl74+H6aknpGbqipgaEjfhEyguJh+urs1LReWRcgE4uMpbVJaOmeN6ejomJVeNDY24ktfOkev3sSKIxxX13EAvgHgi4yx3a6fswHcDeA0xtgBAKe5/g3O+X4A/wJQDeANAN/inB+eX09+/qxFhtHAUVJCkbLubp0SMoBmMDEehUS7KSm0QQom4yWFkHli/boLcGLq0QAAp9MRHl1esLBYaPGdnvZaBZaaSnNuerrHgx98AL5hA2bi44Fzz9WWkAksWULX9f79ujSW9SrqT06mcRcWBn08o5H4p1zPwZDR2Ej6B4WImaqEDKAqwfJyYkF1dbogZnl5NK35tM2KiiJiZrGg/dVXMWKz6ZuQCRQW0sZOo5BuSIRMICZmti0h+vrwwUsvIS+PNMFjY2MoKSlBfLxCAz4MEI7qy08454xzvopzvtr18xrn3MY5P4VzXu76f7/H3/yKc17KOa/knL+u9ZgVg8FAu93RUaCrC5mZtFGoqxvUJyHzRFMTGTYp6Jk0OUmHDTRHB0vI+u39OOuZc/Gn1n/iltwv4/nj71VoxBqhuZm0Fl7aPxQWusz1OQe/98/gp56Kifh4HPr3v5F/1lnajxWgNNXy5RT61Ek0RMBvlWVmptv0NAhfreRkd6aou1vBwUpFbi7NJXv3hkyCVSdkArm5pF3o6vKTN9QOBgNF7MvK/MivoqJQHxMDW0oK1mzYoH9CJpCWRh9qaoq0qiqFmBQhZPPwu7vuwhcuuAAlhYVwOp2zxRQxMWGvX9AMh8lVdgQhI8NtkeF0IDvbBodjt74JGUDjnplR1DRUNDzwF2kPlpDt69mHdQ+vw0etH+HR8x7FvRc9CnN+kWJj1gTFxbRTr672PqFOTmL44mvBbrsVg8cei85//xsFp5yi/Tg9ERdHJrZRUbrRDkm1vUB7O3nFBeFEX1REt3F9fRiaJUdHkwh9eprSazIXXc0ImUBREYWoONcFcU9OXqDjn4P6+noMT0xg1emn09wzNBRanzytMTREO4cQrhFf8EXIdu/ejZUrV+KTTz5Z8DednZ0Y93OznHnmmfjvP/4Rt1xyCRoffxzMQ6dqMHitfzoiESFl4UBZGVBRAdvgIOrrq7Bx4waYzdF6zPy4ERdHE2pnp2LaoYwMutGam73bXQVLyF6oeQEb/28j7NN2fHjVh7h6zdXuVkaTk7ptmLwAZjOV5drtCzVPhw4BJ52EhOcexfazb0Lt/3scJWq2SwgGmZlkaqmDHoiSCRlALY0sFopOSvRdE50qDIYweejGx9MARkdJ2B0kNCdkAmVllMpkTDf3Y2PjwuDdAg0Z53Qv7tlz+BCz9HSaR4aGaNwKGUT6i5BVVlaiqakJJ510Er75zW9i2GOjs3z5csTGxuIPf/jDguMxxvDmm2/in//8J+596ilaHOZ9MStXKjJ83SNCysKB+HjYGJtNWVos0di+PYwaFakQpZP19YpFQypcjjP19XMfD4aQObkTP3n/J7jwXxdiRcYKbL9+OzbmbXS/YGaGUq86SJtIRlIS5ci6utzOsVu2AGvXgu/bh/r/dze6broTM84S7SM1gWC3kxI+TAMLipABRIJXrqRret8+yWTBYiGDchmyNGWQmkrRSWEgKhFhI2SemJgAtm6l6zvMcDioeFhksL2K+kXfSZOJCM7h0owxI4OkBSMjks1a/SFQyjI6OhrXXnstDAYD/vGPf6C4uBgvvUQ1ezabDRdeeCHuuOMOMMbQ2dmJ3t5emFxVuvv378fFF19MO52lSynlrZOou5aIkLIwQIj6N+bmIrq1FQYDBRl6enRdwObuVTI9rZiDtNVK2br+fjf3CIaQcc5x6fOX4hcf/QJXr74aH1z1AXLi5/k4mUwUDTl0iN7ocEFRES24SUnAyy8DJ54IbrVi30MPwfjVi3DaafkwGPzYZIQLBgMRsiAIjlIImpAJxMRQ5GlsLKjIk/DmHRsL06WVleUSGUISUdAFIQMozR0TQ8J/GT0nlURxMU1tDQ0BbC+sVqpQOtyIWVoaEcoQ08ZSNWS33XYbTCYTJiYm0N/fj0svvRTnnnsuuru78dxzz+GAK/qfk5ODDJfAf2hoCMuWLXMfhDFaa8rK6N92O954/T0A0J/xncKIkDKN4VllaY2Kmm1l5GmRoQO5hW+kpgIbNvhwMJUHoQFOTg4+Zdk33od/7v8nbttwGx457xFYTT4WmuJi9yKgVJ8ntcEYlYpHRQGffw5MTWHv736HmA0bUFpaCouFAiXj4zpbHywWIjh2u2L9U6VANiETSEmhhSA7O+g/PXCAJIBh63bT10fRYD+RJ90QMoCI+4oV7mbgXr0ptIHZTPPP3r3taGsb819lKdpIGQy0yTtckJpK1kaib1uQWplgRP0lJSVYt27d7L/Hx8fx1ltvoby8HP/3f/+H0tJSPPDAA7PPO51OJIiNxXy40tz33Hknzjr7FAAI84WrPiKkTEMssL3Iy6MFzMMiY2QkTBVdwcBolNiQURoYo0mxtbUBNpt0QgYArUPU6/HkopP9216IkPjU1GGQJ54HpxPOykoAQFZz8xzbi7Q04si+5rSwITmZiHBPjybGsiETMoGcHLeiOIiF6/+z993xkVV1+8+ZnplJmfTe25Zsti+CrIACK4sg2BBUVFCUjoqvvoq9I+8PeAFFRECR+gKCdEGqwPbsZtN77z2ZSTLl/P74zs1Mkpnkzsy9M3ey+3w+Iexkyrlz7z3nOd/v832+5eX020cL0/AgMZG+84YGnyE7RREyAWo1pY1jYiiqGsGdxcxMI1yuacTGVq4+98TEAFu3EoGPJgjzY2MjyQtE6ieDqbL83ve+B7PQSRyA3W7H9PQ0brzxRqhUKnzjG9/Al770JXDOV7UreuTxx3HTHXfg2osuAgAlbT9lwUlSFib49CFTqykSMj0NDAwsWGQoOoUpYGCAViCJiFlzczP6+8egUm3H+Lj4y7JjnEhZXrwIYU9sLLmiK6T6SyxcAI4bDHAmJCDtzTeX/V3wexsYkNSxJHTk5hJrHBiQ9fuWjJB5Y3CQNHwiKzINBopaTk35MPcNB1Qq0g6ZTOQX50VwFEnIBAhGrSkpAbW8khKNjY2YmprEhReWoaJC5NwjeArOzZEbveKEnSsgI4MmiiNHVg3tBmt7sWfPHph8ZFPm3F6XDzzwAB566KFV3+df//oXLrvsMlx44YX43z//WfTnRzNOkrIwYEVj2NRUCnO0tYFxFyoraXJXPAQG2dwccjpQSFmecso2cK4KyFpHiJTlJYhUW+fnU8QsSkxvXC4XDh48CNOWLVB/9KPAv/7lk7XbbCSFWlowEXGUl5Njt0zftyyEDKCok1ZLERyRpskpKZSK7+pa1J0nfNBoKPKk0SzYICiakAkQ2lVoNHTji4zgSAFvDVlCgmrBtk70HsLpJEJWVRXB3HWAiIsjbZzLtWJBTig+ZCqVCjfddNOi9c5gMKC0tBS9vb348pe/vOp7HDx4EOeccw62bNmCf/zjHyeMJ8ZJUiYzRDn1l5aSvkKlWmgXZ7NJZqAvDxijcdvtIYUGvDVkGo0KZWU0J7e3i3t9x3gHzDozLIYVDIeWjhsgZbbYD4kQBEKWlJSEotJS4PLL6aJ48MFlz42JoWzh0JAiCto80GgoiuNw0PctYcRMNkIGeCoync6AChaKiugnYulkvZ7adRUUYGh0VPmEbClqa0lEHwZ/IH+i/pqaADY3RiNF+jiPLmJmNhMxA4jAL7kvpTCGvfLKKxfa2xmNRnzsYx/DwYMHkSFCs9nY2IgdO3YgPj4ehw8fDurzoxVrl5QpID0lunWS2YyFPhKcw+kkL0vFS59iYyk00NMTVM7Vl6g/Pp5kPd3d4jJHHRMdyE/ID7yN0tAQkYSImEytjkWETNCQ7dlDX9Arr/hctIRCzaYmBWZTxsbo+5bIlkRWQibAZKKo6tSU6CbPKhWdB4GHRmQaMpkwpFYTIVu/HgatNgKDCBJ5eXRty0zMVqqy1OvJjlF0kweTiYiZyxVdxMxkImJWXr4oki2VU39SUhIuuOACqFQq3HDDDXjuuedEGaT39fWhzJ0uGotgAUiksHZJWYSdWIPqZdncDFRXQ62miX1oKAocHAoKKKwcYAuSlaoshb7LnZ2rv0/7eLs4PdlSCP2KGhrCmi4RA5+EDKDozQUXAB984DMdyBhxCJVKcd2OKLeXnU1su68vpLcKCyETkJxMZflxcQGlYO124MABoKNDxrH5wULKcssWGOrrFXgxrIC4OIpQ2myS+Gr5wmrNxfPySO4bUCDdbPY0MddEkWuD0UgbPQDo7oZzaEjS1km33nornn/+efzqV78StXGemJhAZiZZGgmmsica1i4pk9BLK1AE3VzcYCAWNjSEnBy6X5qaFOZBtRRqNaVLAugYu5rthUZDb+ltW+MPHRMdwZEygcFwLjoKEg74JWQCLr6Yok5vvEEtr5ZsPvR6Oqz8fAXK5oqKSKvV2Bh0NUtYCZmA7GyPQatI/aRWS4fa0RFefdkiDVlcHH3nIyNkZqeQa3xVJCR4iFldnaRvvRohA+jcZWfTpjiAlqielKBWS5O24sLVK8DlgrO3F/VPPokMlUqyXpa5ubn4uMievLOzs0hISABABQFR02tUYqzto45AGVTQhAygVKDZDDQ3Q8WdKCmheUlMxCjicDqJQa6ScxTrQ2Y0UsTH6fQ/MU7OTWJ8dly8yH8pYmKorH18POTojRRYlZABwDnn0Lj/7/8o6uQjCpKYSAEeQDGdbAiMUYWgwUDXSoAkISKEzBtTUxSlFGl2WlJCh1pXF56qWJ+i/sxMCj0PDkaBHsILFgsRM8E8VAKIIWQCsrNpvxn03NvSAhw+HDUtmZyc48D8PBLy8pBnta7ckHgVDA8P480331zQk3njvvvuw6OPPrr8853OhfVyamoKOqGk/ATE2iVlglV8GBESIQM84vm5OaC9HRYLFTkqamH1B85pR15f7ze0F6gxLEAaa3/9dAOyw/CH9HQKLaWnB/8eEkAUIQOIre7ZA7zwAi1Y4+N+Nx+Cq4OisrNChWBFRUChvIgTMoC+e6ORiLAIwaNaTdHe+Xn5PXRXrLLMzaVIX0+PZBY2YYHFgoVyyO7ukKq8AyFkAAW7Nm4MgRPm5NCbVFUp3uNoQUOWlYWsj3+cdnRNTUEXQnV1deHMM89EaWkpnnzySbi81oO33noLl156KRhjuOuuuwBQVxah1dLg4OAif7MTEWuXlGk0FFEIE0ImZALi4shHpq8PcDhQXk4ZCMVDoyFCabX6vJmDIWQApeFmZ33rwwO2w/CHtDSPMjsCDFg0IRNw0UXkJt7VRddKZycR4iWIjaXDUZykyGikPCvnojzMFEHIAI/ZqV5POwUR8ojYWLp/nU75Li1RthdFRbT5SEmRZxByYnqaJoBjx4L6EgMlZAIEV5SgILRk0utp3BHxSFkdy0T9gt9dRobHADFAbNmyBeeffz5aWlrw1a9+FXl5eXjooYdgt9vx8MMPY2RkBOXl5bjuuuvAGFs4J21tbUiJxutTYqxZUma1AnzeTqEWmXeHkhEyAYWFwI4dgEazEEyYmIgC0X9iIt3MXV2LIgnBEjKANKg5Ob7bVgqRsvyE/FBHTtG9Q4dohxhGBEzIAOD884kEP/MM5chiY302iY+JIc+7yckIGZquBkHrtIIaXjGETIBWS4JHgBZbEXnJ7Gx6iVot/XAC8iFLS6Po5OysYquOfcJsppDj1FTAxCxYQibAaqVpIahmA3o9ETODIYKtHvzDb5UlYzRxuAX3mJoKeOx33XUXDAYDpqen0d3djWuuuQZZWVm45557YDQaUVdXh2mvL/Xo0aPIz8+X4KiiH2uWlDmdQN+Qhiag1lbZbgjJCRlAE7/Q6dide2pupsyg4ts2Cr0a3eQmFEImwF/byo6JDujVeqSaUkMft9AVvr8/bCmeoAgZQFv4M88Enn7ao9MS+vEtQWqqJ5imOFKfnExpYz/WJIojZAJiYihilpAgmmkJ5u8NDdJFzII2hm1vJ5IQ4UbgASElhYjZ5KR/PcMShErIAJrKbLYQLA11OiJmFRUBV6jLCdG2F/PzlIIV+Z0LyMvLwzXXXLNwXc7MzGBoaAjf/e53kZGRgVtvvRXnnHMOAEppbhI2OiexdkmZWg20tTM48oqI2IQgXPQHWQiZN1paaJtmt6OkhO4PhfudUgRnwwZg/XpJCBngaVtpNC6eF9rH25EbnwsVk+gyzsuj0Fxjo+xCrKAJmYCLLvJ0wTYYPNobH2mS4mIKNiiyGKy0lFL29fWLwhGKJWQC4uIomhCAIZnNRqoEKfT2ITn1C9HVCDcCDxgpKTQRTE6uKqCXgpABNJ1lZxN/Dbo1p1brqU7v6oq4ri8gHzKdzlMMVVUVUMXKj370o2XX5szMDMbHx/Hd734X7733Hp5++mns3r078INYw1izpMxgoOuna9pCabWODklLoGQnZABFbhwOoK0NcXEUTe7piWjfXnGIi0NzTw8RskoRDX5FIDaWgkFCABFw22GEqifzhmCTAchqIRAyIQOACy+k388843lsaIgmziWW/mo19U/Ozg7uo2SFSkWKao2GrNQ5Vz4h84bDQRsnEaa4CQnE+/v6QluXQ26dtLQRuMj+nopAaipwyin0ZfqBVIRMQHY2XZ4hb4g5J3ZXVxexthtBGcOmp9NGe2YmoEbmsbGxuPXWW332wDSZTDh48CAuoibjJ+GFNUvKhGxUVxdgz3UrbSXylggLIQMovJGdTYKqyUkUFtLk0NioMOH2EixEyOLioDp2TNLU8fw8BVXsdtKUhVR56QsGA+0MGZMlVywJIQOIoZ9yymJSlpxMi1Vj4zLmLqxNY2NUyKYo6HREEsrLYZudjR5CBtANmZREX6qILzY/3+NZHIyNomS9LAVtnFarUMHhChAE6IODlFbzml+kJmSARNEygOaUTZvoHq2vp3k9jAjJqT85mcY+Px/QuL/yla8smMEKiImJwfPPP49t27YFNoYTBGuWlAGkRdq8GdAmmEiPkBf6Ah42QiYgP5/CQ42N0Kg5Skpos6hULEpZpqTQ7kpCW/P5eSrYa2zkmHXM4omaJ/DTN3+KyTkJd/tpaRSWk7g9jWSETMB55y32QmKMrnMh6uSDVPb3U1BHcVX6ZjNsOh0Rsvz86CBkAoqKKLXW3LyqgF44RYyR1DUQSN5cXBCib9gQ+ntFAk4nFYvU1AAulyyETEB2NmWrBZVA0BCilElJtHkK0w5JktZJCQnAtm0eqykRkQG1Wo377rsPRvcXFxMTg8ceewxnnHFGcGM4AbCmSZnB4GkMzJNTQm5/EXZCBtBNXFxMoaHZWaSm0gShOLd2+BD1JyVR6LuzUzITRbOZeOrQEMMLF72Ps4vOxk/e+gmK7izC/7z/P5h1SKQFY8wTlpMgYiY5IQPo+wUWi8V0OlpkZ2d9mmOVlnqKwcJhaCoWQsqyMjcXie3tCgznrQAh7R0XR6mpVdKBBgOty+72fqIgOSHzHoxGQ9GmpqaIt6cLCBkZdEGPjKD9xRcxOTEhCyED6CvKyJBIqy/YTiQny1OSuwRS9bIEQClvoWrl4EFRmsSPfOQj2L17N1QqFe69915ccMEFoY1hjWNNkzIBra0U5YbNRhdSEJ4xESFkAlJSgJ07F/muDQ5K1ttZEvgV9RcXU8RpBVPZQJGb69bNDq/Do598Cvuv3I8t6Vvw7Ve/jZL/LcGfD/8ZDpcEqcfZWSEsF9LbyELIAFpQAZogvREfTynYtLRlLxEMTe12OiVKgLeGzFJQQItVS4sCy0VXgEpFTCs52XNeVkB8vIcLrdbKRzZC5g2rlcKox45FQYm3FzIz0apWY66nB1sNBqhk3q3294c8HRAELWVGBv1bppaAkhIybzBGP8eOibJXuf/++/HMM8/gi1/8onRjWKM4IUiZTkfz+8iUjlajlpaARFkRJWQC1Gqawd03wPQ06eWUkIZascpSo6GQgIS9SIXAhNNJcpgdWTvw6hdfxb+/9G9kxWbha//8GtbfvR6PH38cLh4CEYyLo7Dc4CCRsyAgGyEDltmmLEJmpt9eS7GxZIU3MhJ5V4Rlon7h5ArO+YosGfUDrZYYr05H84sIctPQQH23/QWowkLIAApBC2LuAO0PIonGxkaMxsSg5OMfh8pkkj2FMDdHkipJuyfNzFD3+kDz2atANkIGeKw+4uIofbyKziwzM/NkhEwkTghSlplJQabWDjV4fgHdUSLLnxRByAT09tINMDaGvDzakEda9C/K9iIpCdi1C/BRhRMsjEZaQwoLPY+dWXAm3r/ifTx7ybPQa/S45KlLsP1P2/FS00s++7CJQm6uxyYjQFIpKyEDPKRsaaTMG/39wP79y1b97GzaqAu8LRLwW2Up6G4Yo+pAhZluikJNjSij09xc4m719cvv47ARMgGJiR4vMLdOS8lYpCHLzfVMBrOzsk2KWVkSVWJ6w2j0yDwk6k8qKyEToNGQ+F/Qx0WoonSt4YQgZSoV3a8zM0A/T6NdYVvbqpOOoggZ4GGXTU1QMxeKi+mYIiW/CciHTK2mibK3V7LJPimJghOce/RRjDFcUHYBqq6qwt8u+hvGZ8dx3iPn4SMPfgTvdr4b+IcIkZsAldmyEzLAkyZbqUQ9Npa+HB+9lgRCNjsb/ozVqrYXBgOx7pwcRZluikZ6OpGbVaxVTCbK8I+OLr6Pw07IBKSkkE5rakphTVMXw6+o326n4peGBlmImUZDl+TIiITRMqHncXY2XQQh7rTDQsgEqNW0u8vL82hcTyIkROFsFxxSUijg0dHJwIuKacLp6/P7fMURMoAWp5ISSul0dSE5me6D9vbw63ODMoYdH6cJRyJrEgFHj9La5w21So0vbPoC6q+txz3n3YOm0Sac/sDp2PvIXlT1VwX2AQEqs8NCyABxkTKTicbtp3G5YLMliU5GJET7kCUkeDQ3Kx2jEpGcTPfq8PCq0Q8h09zaSgt9xAiZgIwMimyHXGooD1asstRqKZwliL9kIGZZWfQxkht5FxcTuentDVouEVZCJoAxqsjUamnD3dmpbM8mheOEIWUArU2bNwPMkkDsfol/igBFEjIBiYnEMDs6gNlZlJRQICfI3rFBIWinfouFxOcdHZI64KakUKTBl6xBp9bhmzu+iZbrW/Cbj/4G73e9jy33bsHnn/o8mkYC6HPprcxeIY0ZNkIG+Bf6L0VaGl3rnZ3LRGTCzn9wcMU9imQIyhh2agrYty/60iNZWfTl9vSsGs4uL6dbe3Q0woRMgFCp3tamKB8zUbYXeXkel14ZetlqNMSf/CwfoaGggNYmH0U6qyEihGwpRkc9lXVRoktUGk4oUmY0etYxV2IyMfwljF7RhExAcTEJLJ1OGAyeNFQ4Nicht07yrsaUaMCZmcT3Wlr8Z1yMWiP+68P/hdYbWvGD03+A5xqew7q71+Hr//w6uicDyP/W15Nrvo98X1gJGbCy0H8phGvGx3Nzcuj7a2pavRIwFATt1G82e3R9SqhsCQSFhUTOVnCgB2ihT08fQnu7AgiZN+x22kR1dUV6JIH5kBUUkGCvt1eWFntpaTJm65KTPbYTTU2i5B6KIGQAjb2sjKwyjh5Vlu9OlOCEImUA8YDqavcGamIC+OCDhQqvqCBkgMf00Us439dHbh9yanMl6WWp1ZJ+YnpasjQmY57M4mpcL8GQgF+c9Qu0Xt+Kq3dcjQerHkTxncX49ivfxrBVRCliTg7lipd4gIWdkAHiI2UApb63bPHZa0mQzWk0JD2TY4MbUuskwXFVrycBuoK1TsvAGKUxzWb6tx+dgZCy3L59F9raDMoJCgpu1S0t4Qml+kFQxrCFhTQxpKfLMiaHg4JCsnWpGh8nQrlKsYtiCJmAjAy6X6enaQMbbdKDCOOEI2WMkVa+vx+YdhnpzmppiR5C5g3B3sPpREyM5Ob5iyBVc3EAtJvKy6PwjEQwGCgYND8vbnOWZk7DnR+/E43XNeLzFZ/H7ftuR+Edhfjpmz/F1NwKCt7YWNqFDw0tLFIRIWRAYJEywGMXMDq6TOek03n8T6WGJL0stVrS9TmdtEhFY2qkq4usD5bYfHhryIxGw0KARBFuIIx5cquNjRFpph2SU39GBonRHQ7JI2aM0RQg15yLtDQilaOjfv3jFEfIBKSkUGWm0xldvncKwAlHygDiAxoN0NyhBfLzMdHairp3340uQgaQtqmrC2htRUIC3cOdndI3LJeUkAkoKJCcAWRkANu3B6avy0/IxwMXPoDqb1YvdAcovLNw5e4AXvk+1+RkZAgZIE7o7wuTk6RxWrJIWSy0BkhpMi5pc3HBByUhITorMoW01NGjC0R6qajfu9h3lcLN8EFwoI+PD/tHS9Y6qb+fmG5Tk2RfqlpNgeeRERkJdEYGXRATE8vSgYolZAISEsj0XMjoKGKXoXxE4cwWOrRa4gTj40D9VAyae3uxPSEBMcIiFy2IiyO9Sk8PMDGB4mIim1JWg8tCyLzR2CiZNw9A64fTSZVRgaRy16esx1OfFdkdwL1yumJjcfjIkcgQMiCw9KU38vKIIDQ3+2yTYrVSRWao+jJJCZmAxEQKicrUMF5WxMR4ogfHjmGot9enqF+vJ3I8NSVDhV+wUKupH6zQeDcMWiFJe1lmZ3uKLiSsyhRaL8kgW/MgLY3E/4KLPqKAkAkQzltvL+lrIhBpjTackKQMoJvJ4RjH2++2Y/0FF8DAuah2EYpDYSEtzg0N0KpdKCmhSJkUemjZCRlAk0x3t6geamIxOUmLWTAG2b66A2y4ZwOeqHliUXcAl0aDg3Y7LNnZkSFkQODpSwFCSkpwzV/yeo2GeF5NTfBZQlkImTfm5igVqAABekAwm4GKCoz396Pz+eexa+dOn6L+lBSSQvX2Koh7CunvsTHS4srYBkuW5uJFRZ6qTIl2rjod8dT+fpnPU1ISsHUroNHAabfj4DvvKJ+QeSMlhaQftbXRd8+GGScsKRsdHYHTeQyXXroBMVlZdMEHUYYccajVJJy3WoHOTqSmAjt2rFrstSrCQsgAIpVGIyn0Jdp9WywUQOzuDn7d8O4OoFPr8Ln/+9xCdwCn0+lJWRYU0Nhl3Sr7QbCRMoCY18aNtDAtEXAL+jKrNTj/MtkJGUCDjIsjTWWUbaaG5udRA2DDnj0wrCCXKC6mdLzgTqEYmM0U9Tt+XNLNlABZCJmAggL6GRuTzNwxK4s4Uzhkjk6nE9VPP42coSEURLIdR6DQainSmpJC96yEaeS1hhOSlAmi/t27d8BsjoHLBdhj3PqmcLuwSoHERKqSchttCp6PU1PBXfdhI2QAkcp16+h7l9DBtKiIpAyhcD1/3QG+8dg3PClLxjwFF5I2xBMBIVIWrIgwJgbYto0WqSWwWKjt58BAYEV3YSFkgKdkNC6OxFeylcBJC0FDtu2cc2DIzaUH/dyoGg2dYs4V1ptdWGAFYiahTYmshExAXh7tXIUvN8SS9dhYT3GwnBBSlgmbNiEzJ4cqG2UgxbJBpaIvKidHhgaiawcnHCnzVWVZVUWLN8bHKSwfTRe6gKwsz6zAOSYmSBcUaGl9WAmZAKGicXRUsqblKhWt2Q5H6P6RQneA2qtrsSNpB17uexmFQp89IRWo1VK+L5y5JpWKol3vvx/8ewiRGpttGfsSCmTFmouHjZAJUKmoIlOvJ58bhVtl+HTqt1qpLdAKG5L+fiq+U1RAUCBmej0NToL7NiyETIAQfmxulqzP58yM9EVWArw1ZPnr1pG9jcFA172iLoxVwBjtmLdv9xR6nYyYLcIJRcr82V6kpFAFzYg9jiaZaA2tOp1UodPVhfh4SmG2tIjPbkWEkAnIyaHdq4TVr2Yz8SXvpuXBwuVy4diRY9hbuBfdM91oGvVielotVafNzbnZfRixZw/wzjuhrwZdXaSz8XL8Z4wOa9Om1V8edkImQLDKSEhQYJ7PA7+tk4xGMjnt6/MrgkxPp31LY6PCLJ90OiJmubkh37dhJWTeMJlo8g/RZoVz4qYtLRKOzQ2fon69noiZ2UzrVbRZxAgVmSMjpA2VaDO+FnDCkLKVfMiysmhubG5VwVVYTLvXSHX5DgVqNf20twNWK8rKaAMoJlIUUUIGEAMQFqvhYclIcWqq522DTWN6+5B98UNfBAC80vzK4ifFxRH7Gx8P7wSzZw+lft98M7T3KS6mlb+ublHZpUZDASm73b8+N2KETIBglSG0wZLTQTkIrNrLsqDA0wbLx5csZGqdzmWexZGHXk8hVYCu+yA2BxEjZAB97+XlFKUPoTUQY7SOjI1J2xVjxSpLjYZIcWWltD424YRW62kiHyUSBLlxQpCy1YxhVSpak2w2oNuWFLku31KgtJQOqLERMQaOggLiOCtVIkeckHljbIx2rRI3La+vp51soOv1UmPYQkshShJL8HLLy8ufLEO0b1V8+MNESl72MZ5AIKRC1Wr6/pekYQcHKQqwtJ4h4oTMG5xTpFhBzEV0c/GSEo8I2odGy2ikOWp0NDI1JaJQV0fffwCsJKKETEB6uscL7PjxoN9GansMUbYXarUn6tTWJk+oTk7ExVHET6MhHdGS3rwnItY8KRPr1J+YSNZNIyOg2U9x6lqR0Olo/OPjQF8fsrMps+NvA6goQgaQiCk1lUixhELQ5OTAfZ/8OfWfW3Qu3mh7w7e5rKDr6+0NT983vR4488zQSZnwXhs2kDZryReVmUl7Fe96BkURMoDCFYmJJIJTQBNt0YQM8ITDysr8mrRmZtKPV3c1ZWHdOmIlR4+KMgpVBCETkJZGInQfbcjEQqult5HCHiMoHzKHwyNDiCb5jdHoScUeP37CFwAoYBWWD4G2Tiovp5aSiIkBTjlFtp5psiM9nchNTw8YODZvXijMXATFETIBpaVELuvqJNNKJCfTd9DZSXx1NazUOmlP8R7YHDa80/GO7xfbbCQglrDp+orYs4fYkhQmvPHxJCJbIsRbWs8wNaUwQiYgL49OdEdH4FUuEiIgQiZApfLcqDabz4hZaWnodjeyISaGUmkART1WSOMripAJSEnxdBkfHg5qU5WVRfdKKJm4oI1hS0qoZLqvT7LihbBB0CeWlpKM4gSGQu4G6eFwOALuZanReBwOrA53r55gfSUijXXryHtNMHwEBRCEwlLFEjKATkR5Oe22JQzHFxfTulFXt/JOdrVelmfknwGdWodXWl7x8WrQhxQVUdg1HEaJe/bQ71f8jCdQWCxEEByORZXIQj3D5OQcnnnmmPIImYDSUjqGhoaIVFIHRciWoqGBNE5+NFqtrcGZI8sOo5EWV879DlCRhMwb8/M0SVRVBSxhMZuBU0+lgG0wCNmpPz+fJrrh4ZBSsRGBWk2hYIBS4A0N0UUsJYIC7whpYLPZgu5leewYGQ/zySnylejtlWGEMkOno4vc5QKmp+FyUfCgoQFoaFAwIRNgsZAAWti5SgC1mjIUgP9NvJjm4iadCbvzduPl5hVShllZlIZtaxMXmgsFxcVEAqVIYXqjpYWIgVc6Qau1wWo9iHPOKVEmIQM8ZaNJSfKbRy2BJIQMoE2VWu3XbsLhEB/1DTtMJkpHlZcv+5PiCRlAc+fGjfS9B0HMBM19oClMyVonZWfT9RONZugCJiYo4nfs2ELE0nqC9M5U6F0ROkwmU9DNxXNzaYPaOxVL5KCtLTz6IDnQ2AgcPQqV046yMqClpQfV1TPKJmQC8vIkJWUARcZ37fIdIRdDyAScW3QuaoZq0DWxQiSsrMwTmpN7x7dnD/Dvf0vrmVBYSAvU8ePA/PyChmz37nVIT08E5wq2BhM6FghOymHwj5OMkAFEJoWI09Gjy85rURFdWvX1CmrD5A2jkdiJ00mDnJuLDkImwGKhNP7cHHDkSMD3VU1NYIEqyXtZpqV5SNnoqIJvVD/IzKQd9OQkcOQIrKOj2L9/f6RHFRYo/M4IHqHc9CkppNtoawPsecU0sSgyVyACOTk0/qYmDA01Q68fRmJiBaamoujUd3XRLCcRVCpa6zo6PEGIQAgZQLoyAP5TmIAnNFde7mnMKxfOPZfSve++K917arVEbOx2zB46hH3vv78oZdnQQIEExe9XmpqI2Mjo5SQpIRNgNBIxsNuXFV4IjTDm5kI3R5YVNhswNITOf/4TUyMj0UHIBCQkEDG22wM2aI2LoyimGIcQWZuLC6T4yBFRxReKQmoqsGkTZicnUf/II6gsLY30iMKCKLk7wo+SErqe2wZNFA7u64tOHxWTCcjLQ8+RI5hsa8OFF1bAaFRFV4EOYzQpSphGnp8nrke1BIERMgDYkLIBWbFZK5MygEQmFgv9v5y71TPPJBIldQrTbIYtLw/1+/Zhc3z8opRlVhZ9j+GqZwgaiYm0OtbWyjJQWQiZgNhYqj4qLl72p7g4CiYPDSl4vTWb0Ww0wjo2hi0qFVSKDOutgLg4srkRqjJFXj8ZGUScV7PHkJWQATSITZto3EeORN0aZtXpsN9uR9H27bBEa+FdgDhJyvzAZKJFx24HeG4e5QqiLQTsRvPcHMbtdmw2GqFlLpSVUWbKqwZA2cjKImLT0iKZMateT3rw8XEX/vnPYwERMoD6Yu4p3oN/tfwLDpeIhWZ4GNi3Tz7hudkMnH66dGJ/N2w2G/a1tSHv7LORsHHjor/Fxoa3niFoJCURqRkZkaZC1QuyEjIBsbG0uDocFL73IgZ5edSxRsjSKg2NjY0Y5xyln/oUVHNzFLFUfGh1Cbx7zB48KIoBazSUPRwY8H+4shMyAWYzafzUavr+o6SNoNVqxf79+1FxyimIP+UU+bMNCsGJcZRBoqiI9MJMqwF27qRwapShubkZo+PjWHfRRVDFxAB2OywWsogAFB7hECD4MTBGoS2JBp2c7MLQ0HFYrSlISRFHyDjnGLYO472u96BmakzMTWBf977VX2ix0MpZWytfr5w9e0iYL1E3Cm8fMsuGDZ4Gzl7EOCuL0v1tbZL2pZYeWVmUyu/pkez7CQsh88bYGOXcvUKTjHkI2diYsu7nRRqyxERqh+V0Rh8pEyCU5ldViTLIzcoiKakvZ5awETIBMTGefplR4L8pELLKykpY3JmGPurNu+Y5y5o/wFAgRJJsNmBs3P2PwUGFKmuXY5HtRXw8WWR4FT/09ND8oqSJ3C/0ehLOT01JsvoLGrLNm00oLMxaMQX3TN0zuPwfl+OUP5+CpN8lIeXWFJz2l9Pwp8N/gl4tsrpPrSaG73LJlkbD+efT77//PeS38msM29xMLVG8osZlZSS/UfxGtrCQPPwkCCuFnZABxH4LCyn8siTiNz5OQRCldIfzKeq3WGhzK3z/0WZ3YDK5jSxBE+cqgjGTiXhoVtbix8NOyATo9bQGCB6ECl3HfBGy2dlZZJJdhiWigwsDGI+KFTlwbN++nR88eFCS9zpyhIjZzo1WaI4cIMGAwkWHfn3IHA4SDRcUYHBEjdpaukdzcyM21MBgs4XcxmipqH9ykgi4r4pMm92G1N+nQq/WozK9EqWJpShN8vzkJ+RDq9aK//CBAYr25eRQKFZqnHsupUmPHw/anXxFp36rlUiZ0BBZwU3AV4XDEdT4I0LIvNHSQvnivDyyjXHj+HEKgmzbFlnXf1FVlkI7qU2bou8aEqwynE66BwL4siNGyJZibo7u44wM8jZTCHwRMgBYt24d6uvrAeAQ53x7xAYYBih9b6sIFBdT1Lq130jbnt5eRedqVjSGnZmh7XRLC1JTPaknKZvoygqBkI2OBpUG8VVlGRfnIWRLM4uvtryK6flpPPKpR/D6l17HH87/A2760E3YW7oXJUklgREygIQm2dny+Wfdcw99L1/7WlDRuFVbJwnNv63WZRE/zqkSMJBWVhHDwACR1wAv/IgTMoDIfEYG5cW87oHSUgrIRrKIR7TtRXw8Rb2PHlVsxMYvhFRgaqqoDWJfH3FQxRAygKxuLBa6WRVS9eWPkDU1NaG+vh6PPvpoBEcXPpwkZSIQG+vhYpNJBbSgNjYqMvy+qlN/fDxFaXp7gdFRlJZS0V44rLQkw/w8hQVo5yQaq9le9PQA+/cv1vE+WfskEmMScWb+maGO2oPi4oCruUSjqAj43e+oCvMvfwnopaJ7WVosVJ48OrrIKoYxCh60t0eBbCU+ngZ87JjoAh5FEDIBpaUUEtN6NgU6HZ2WycnIFF4E5EOWnEx2KzMzUeKrsgQGA50DlYrGPjLi96kzM0BnpxPvv39QGYQM8Oh08/KINR4/LqtlzGrwR8gAoNSdlbrkkksiMbSw4yQpE4kCgYu1qMFLSulOU1jJmejWSQUFFHJvaICWOVDqPhwFB/8WQ6cLuOxPjA9ZcjLNsbW1RFBnHbN4ruE5XFR+UeARMTEYHaWOEVIvSN/8Jllk3HQT2b6LQMDNxTMz6TpKSVn0cEkJXVp1dfLVM0gCg4FSZ07nItdwf1AUIQNoUdXpiNQ3Ny/YxaSmUhAt3EMMyhg2KYmImdVK50AB0Zqg0N5OBTYkRF+GlBQn6uoaoNFkKIOQeaOggMjl6CilTCKAlQjZ448/DoCurxMFJ0mZSKjVtOAkJAA8MYlCZ5EUbixBQL0sVSraJc3PAy0tSE4m/a0lmiSUWVnEolpbV/XeEWsMq9eTIef0NK1zr7a8iqn5KXxm/WekHj1BoyE2LGFFKQA6v/ffT8zyiitWfe+ACZmAvDzK/QILrWjCUc8gGcxmIgWzs7So+gkVK46QLYXNRpF7d5lfWVl4C8VDcupPTKRzkJsbRR49S1BYSMfR0LBsE+R0OlFXdwCZmfHQ6xUq3M3MpA1KBLRlKxEyzjkuueQSlJWVoaSkJOxjixROkrIAkJxMmSeVCsTQBF+JCCOo5uKxscRA3DeiII2YmIiiNGZ5OTGp2lq/ofdAnfoTEz3Z3b8dfhIWgwVnFZwl9cgJcXHy7VILCoDf/x547TXgT3/y+7SgCZk3entJn+WuRjMaiRhMT4tzNI8oEhKo60JKis/yUcUTMqHPp9CAfXBw4U89Paubl4YKSVonJSZ6Iq4jIwH3mow41GoilqmpizrFe2vItm7NwsSEZDaL0sNioU2i00kblDCYzK5EyADgyiuvBABUVVXJPhYl4SQpCwLj4+6KdKFXj9dEGG4ERcgEpKZ6vKecTlitVGkaoSh24NBoaEHNzfV0AfZCoIRMQEEBzVGvdbyAC8oukCd1KSAjg3aqnZ0Bt3JZFVddBXzsY8B3vuNT5CUJIQMoDaXR0GTuXlBTU/33GFUckpOJiQOL9GWKJ2QCVCoiBfHxFHUdHgZAvmUtLfK5/Uvey9LhoPFXVSk89+0DKhVtcjMzgaEhOOfmFon609KIe0ZQtiUOdjtdMFVVC9eRHFiNkE1OTuIvf/kLbr75ZmXfezLgJCkLAlNTVMA4NATa2TU1RUSoGhIh88bx40BtLYxGmlO6uqJIXxYXR4MGFs14wRIygObXTZs4xufGkBsfhpRDcbGnWZ6UYAy47TYKV91336I/SUbIACL2FRW0qFZXL5wHnY7+3N+v4AiBN2ZnybG9tTV6CJkAtZrOQXz8wkOCDl2O4jpZmotrNHQMc3PRScwYA0pL4aysxIEjR5CWmoqCvDwAdIts2kQZc0XDYPDYfNTUSNraTsBqhAwACt1ear/73e8WHjtOHd6jzD8lcJwkZUEgO5turuYWBmdxGS1GLS1hHYNkhAygsNDICNDXh6Iiui/r66NgV+eNsTHggw+A6emQCJk3suOy8WbL+/JbPKhU1PhYDt3Epk3AWWcBd921sHGQlJAJMJspUjA1tagq1m6nqHJNTRSkxQ0GIDUV48eOoeXNN6OHkAlQq8nc1C2r0DE7SkpogyVlGlMWQiYgPt7TBPzIkahrbed0OnGgqooiZEKVuNdEOjcXBYek09F1lJhIWkUJHYnFELKqqiqMjIzgpZdeWnhseHgYFRUVABANsfeQcJKUBQH3hghzc+6G5Tk5FA6QOtLhB5ISMoBE8wkJQHMz1PZZlJdTZCPMPDM0mEwAY3AdP46D+/aFTMgYY/jm9m/inZ7X8EZNjfwWD0L6dWaGIq9ShjZuvJEm1qefloeQCRBEl0lJCw9ptYuLJ5SOoYQENI2PY2t8PAxREy72AXev1bSYSSQlkSRBimC+rIRMQFwcbSYcjohKQwLFMh+y+HjaLB47BjgccLnIckdkQXRkIejkcnIW3c+hQAwhA4AtW7YAAPbs2bPwWIqnyjs6GneGgJOkLEjExRGX6ekBppPzSSnf2Ch7uZnkhAzweNYAQH09EuI58vIUVVy6OnQ6uMrL0XDkCNKnpkIiZAK+vu3rMGgM+OfAnairC5P+WAhrdHRI95579wJFRXD9z//IR8gEZGdTKyNgwRQ0KYlkf7295NmqVAwNDaG2rg4Vn/0sdKmpFPELg+BZFsTFESM+dgylGVOoqFhkaRYUwkLIBMTFUaf1KGk14tMYNiODNK+Tk0BVFVSOeSQnE89UfNQYoHWhqMhTBdbVFbTR71JCxjlHU1PTsuf98Y9/BAB0e0XnXnzxRQDA/v37g/rsaMNJUhYCCgrcvkyxbouJdetkLeuWhZAJMBgoyjE7C8zNoaBgec82JcPlcuFgczOM69cjV6eTZPVPNibjCxVfwEt9f8Xo7IjkzhU+kZlJpKa9XTqhrUqF+auvhmr/fmyZm5OPkHljbAx4//2F6HFBAQVjGxuVWVy3SENmNHpsGhQvAvIDIQWl0UDfcAwJWupcEGy0LKyETICQOrZayc9PocLEFZ36U1JIJ2ezAceOIS2Vw+FY0WtWmZiaoqrSILR+viJk77zzDkpLS8EYA2MMRUVFuPvuu/HNb34Tp512GrLciw/nHHv37kV6ejp27Ngh9VEpEidJWQjQaGgNZQzgcfGeUjMZtkGyEjIBGRnAjh2LnCd99D5WHLw1ZHm7d9PqL5EXw/W7rsesYxbvz9+HsTHiGrKjtJSupfp6SUrnbDYb9pWXwxUbi/gHHwx9fGIQG0vX0fHjgNUKxihosG6dpwBAKfAp6tdoiEkKju0KJQQrQq8nfZZKBRw9iv7OeXzwQeCHEhFC5g3OabN45Ih8paRBQlTrpMRESscWFcGSyCDRnjG8iI31kMsAzsM999yDm266CTabDTFeLal2794Np9OJ559/HmeddRZaW1tx7bXXAgDefPPNheddfvnlAICWqNLShIaTpEwCjI2RVmBuDiTEktidOiyETIBaTaSyuxvgHFYr/a+M1dEhYZmon7GFCVAKVKRV4KyCs/C3+ruxabMd4QgyQaUi7ynGQhagCBqyDaecAtXXvgY8+aSkwl2/ECrpGKOKTLsdOp3H2k8pa6uoKsvjx6lHY7RVAwKUeqqsBLKzYUnTgbHAqjEjTsgA0lFs3kz/X1WlmEa9AfWyjI8HLBYwBqSxQYx2W6Ou5ScSE+k8uFzUzHwVzaXVakVTUxP+9Kc/4eKLL0ZcXBzWrVuHa665Bk8++SR6e3uxd+9evP766xh0awd/+9vfQuNuUD80NIS//e1v+NGPfgSj0Sj30SkGJ0mZBDAYaL5ubgY5Z46PL7hrh4qwEjIBY2N0MJ2dyMujDE5jo/La0/mtshS+p6kpSbRZN+y6Ad2T3Xit5xkAJBGR/bswGGgCdPd9CwbLRP3XXkur8d13SzfOlWAwUBpwbo6IjTuCPDkJHDggv7HpahBte1FcTCfcLdiOOhiNQG4u9HqgKMOK8cF5UU4HiiBkApYSswiz+qCbizudyHG0YZf2MDTT47KNTzbExgJbt1IUdoWMkJCy/NGPfoT//u//hkqlgt1uR319Pe655x5cccUVKCkpQVJSEs477zykultQfPe73114D+Gxn/70p/Iek8JwkpRJgJgYMsYfGgJGdBmUPmtpCVk8ExFCBpAyOzUVaG+HyjqN8nJak3zoMiMGUbYXg4NUdhaiKevekr0oshThjn13wG6noElDQ0hvKQ4mkyd9FmAVms8qy4IC4JOfBO69N3yLWnw86S3j4hb0lrGxtOluaSHeHAkE5EMWG+vp0bhCOybFg3NkDFcjcbAerQ32Fa0ZFEXIBBiNRMwsFiIFEULQhAwA1Grodm6GPlZHJD/qxGWgzdb27Z6+fEukIks1ZL/4xS9w6aWXLop2TU1NYXZ2FqOjowvWFx988MHC359//nkAwIEDB2Q+GOVBIXdb9CMnh9bQpibAWVRKE3cIYqyIETIBJSVUrlVXB7PRhYIC4gVKKEYT7UNWUEBkoKEhJHMgtUqN63Zeh/e63kPV4AHk51M6N2yRns5OaiUl0pdjRduLG2+kSOjf/ib9OP0hNZXSyYwBTudCsa9OR/5l4Q4+BWUMa7GQIG5iIsq8Yrzg/uLLMiaham3G5IjvcK8iCZkAo5HEiWo1XThhTmWGRMgE6PWwlm3Bsd5kWA/WRqHADJ6CtvFxMlxuaXHLXZaL+hljuPfee3H22Wcv0pUJMBqN+OEPf4hdu3YBIHH/Jz7xCWRlZWH79u3hOiLFQGF3XPRC8C6bnQUGpyldgJGRoHQoESdkABGy8nKa9NrbkZND0hSh/3SkEJAxrEpFEzhApCaECMdXtnwFsbpY3LHvjgXrnpaWMPV2zM+nHHJt7aoq7VV9yD78YUo/3H57+CM+NhuJLwcHodXSqZmbk74f+0oIyak/NZUG7XZpj0rEx0O/bSNOKRpCat/RZYxY0YRsKRobSXQepnCrJITMDU2MFmOpZRhwJCmzHFks4uOpTL+rC7bDh7H/gw98+pCpVCo88cQT2LFjx7L7zmg04vvf//7Cv7/whS8AgE/LjBMBCr/rogvx8RTVzcgAkbIdOwIOsyuCkAlITAQKC4G0NDDmiVZHqhAtKKd+g4G6Y09OAn19QX92nD4OX9n8FTxR8wT6pvpQXk68taYmDJ0PBCNHxkib5Se0JMoYljGKltXXA//6l3xj9gW93tMuYmICcXEk1wpXf0xJWielplKIj/OoMjZdhIQEqCs3AjMzGD7cubBvjCpCBtDcpNGQnkBmo18pCRlAl5AlWY2BxHWevqvRWOHLGFBSAltGBhreeQdb1WpY/NjI6HQ6vPjiiygtLYXOXYJtMpnwv//7vwupzcHBQTzyyCP4yU9+4jOqdiIgCu686IJwPdrmVOB698QvMuenKEImIDfX4yLrcmF6OjIi7ZBaJ6WkEKkRemQGiet2XQeHy4E/HPzDQqQnLc1TVyArDAb6QKvVZ/osIKf+z36WvNBuv12esfqD0DjbYCBtltWKrCwKBMpo7wdAhubifX0UuYwKe3YfSEzE/PrNqLXmo7k5CgkZ4OnTqNMRMZOp7YbUhExASgowO8co2i70XZWjUanMsFqt2NfXh/zzzkMcYyvq5EwmE9544w1kZWVBpVKhpKQEn/vc5xb+npaWBgD48Y9/LPu4lYooufuiCzYbEZfOTpCN+eHDq7ZgUiQh80ZDA+nLzJ46hnDJOSTpZZmcTCv//HzQO9LixGLsLd2LPx78I2Yds4iP9xCKsGQCLRYiZksWhoBbJ+n1wNVXAy+/TLnDcEKrJcsSlYqEzu4wjSBNkSOTI0tz8YwMYuStrZEvIw0SupR45BWocPhAOwb+U4+tmzYpc+5ZCXo9if+NRhL0SnwjykXIAE/3opEREMHMziayv6RfppLhrSFLKC0Fdu5c1NHD5eN8JCYm4t1330VFRQX+8pe/gLl3ZP/85z8BAAcPHgzb+JWIKLsDowMxMcQBOjqAGXMaPdDQ4PdGUzwhA+gYhoaAPkrdqdW0nstNRqRqLr6AY8coShPkpHfjrhsxZB3CY8cfW3hsagrYty9M0paUFE/6bHIy+F6WV11FC9qdd8o3Vn8wGMjDzGxe6Pmp0VAQUGp9mSyEDPC0JktOJjIgkQVOuGGzNQLWYaitWeBV1dFp+SF0LxDIvkSQk5ABNOyMDC+Fi9AiZmSEIn9K8yBaAp+9LIV7bGYG2LcPednZKCgowNe//nU8+eST6HffJ5mZmaiqqlroc8k5xwUXXICcnBxs27YtEoejGCiUAUQ/SkpovWloVoOXllF0pq1t2fOigpABpHuwWIDmZugcVpSXk8jdxyFJBskJGUBVgDZb0J4WZxWchY2pG3H7B7eDu9mDMA+FtZKwvR1z+/bh4OuvB9fLMjUVuOwy4KGHZEv7rAjBZkKjAZxOmI0ulJRQYahUbT9lI2QChDYF7vsi2ghNY2MjpqcnsfeSrZjPLkZnq4PIQJQdBwC6jgQNUlNTyNFLuQmZgLIyT2AJAInmN2ygybWrS7bPDRWrNhfX6wGzGX+47jp0dHTgvvvuwxVXXIH8/HxkZmbii1/8Ih5++GF0utP/l156KQCgISxeQ8qGgllAdEOrJRHz5CTQM5NAN1t39yJBatQQMsATGVCpgNpaJFlcyMqST08lCyEDaAEV/D2CcLZnjOHrW7+OowNH8U7nOwDoXG/YQJm4+nrphroSbMnJON7UhEq1GonBul3fcAMR1HvvlXZwgcDlWjB+y0jnC20/Q21nJTshEyDo5Nx9JqMF3hqyxEQVcjbGw1hZQhGOaCVmAIVZ5+aImAWp9wsXIfN83hLHnpQUqpDOz5f9s4PBqoQMoHth0yacf/HF+MNNN8FoMGBqagpzc3Po6+vDww8/jG9+85soKytDXFwcHnvsMfzsZz87YcX93lA4E4hupKVRdsNuB1UKxccv5PuiipAJ0Otpazc7C1itKClZJm+SBLIRMgE5OXRiWloCMl5zupy458A9uOWNW6BVaeHintxtXBwF4YaH5e9iZLPZsO/QIRRccAHiYmODT8du2gTs2QP85jcQZfEuB1QqEtcMDABtbSgpobqSUPx+w0bIBKjVngqfJRsvJcKXqL+oCEhbl0i7C6czekkZY3QMgt6vtTWgl4ebkAEkOW5sXPKg2ewxjj50aFVNcrggipAJYAwoK8NVN96IGy6+GMYlhGt6ehqzs7OwWq3IysrCLbfcIuPIowdRwgaiFxs2uImLWk2VQhZLdBIyAcnJwCmneBYh0HwhlaWM7IQM8ET90tM9KY9VcKj3EE65/xRc8+I12Ja5DdXfrMYZ+Wcsek52Nn09chrsLtKQZWd7KjKDDfvfeSdFFm66SdqBBoK8PKqM7eyEur8npO5SYSdk3nA6idxWV0euVcEqWKnKknOg25aEwbwdlJPnPGoE54sg3N/ua0qs2W8kCBlAzkPj436+apeLfo4di7gFS0CEzBs5OfjlXXfhkxdd5LOHpV6vPyGd+/0hyhhB9MHb+HhwEGhuasJ0TQ22l5ZGHyEToNHQhN3TA9jtlKLtCV3rHBZCJkCjoaifVkuTnh91+cTsBK578Trs/PNOdE104e8X/x2vffE1lCWX+Xz++vUev1qp4VPUn5hIxyF4HQWKkhLgBz8AnngCePFF6QYbzDjconntxDAAyqwGIg2KKCEDaONVWUnX1rFjimmcLUCM7cXgINDUzCi639xMfSajMWomuHnn5lK5+CqIFCEDKFDscvmRdur1tJmPjSULFrnD8H4QNCFzg1kseOihh7Bj+3YY3B5lAFlk/PSnP0VGRoaUw41qRCkriD50dACvv96N/p5hbEpOhqqxMXp76AGUwmxpAerrkZND815TU/D+h2ElZIs/mBaeJRULnHM8Uv0Iyu4qw90H7sbV269G/bX1uLTi0oUSbl8Q1jqbbaHziCRYscoyPd3jwBrMCfjudymycPXVkSMSjFEbo7S0BV+8nh66psS0B4w4IROg1xMxY4y0WQoxBBVDyAQe43C4b4fExOjXmBUWerwnxsZ8zrmRJGQAqVq0WpI++IRGQ9dUcjIR5TBbsIRKyARoNBq88MwzKMzKgsZddZ2amoobb7xRopGuDZwkZWGCRtOCyclJxFp2QbVuHaWc2tsjPazgERNDE97ICFhvD8rLaVIPxtIgYoQMIBZlNlOawz0rNgw34Oy/nY3Lnr4M2XHZ2P+1/fjf8/4XCYYE0W87NkbFU1IUUIm2vejtJYO8QPOnej2J/Ts6gJ/9LLTBhgK1moiZO6VcmD0Ps5muqZValyqGkAmIiaFFlHNF6MsCMYY1mykN39sLTGiSSH8R7cQMIHJ87NgyD7BIEzKA5s2kJNp8+J07VSo6F/n5VAgQJkhFyASYEhPxxrvvIsVigVajwYO//OUCQTsJwklSFgY0NzdjZmYEH/94OcbGVBiwJ5JBTVeXYrUnopCdTbvplhYYnDMoLSU+EEh/3YgSMgHuXj+2mqO45dXvYdMfN+Fg70Hcfd7d2HflPmzPDLwpbmYmuU60tYWm0Q3IhywlhQjW8eOBN2DfvRv46leB//kf0kRFGi0tUFUdxoYScpP117pUcYRMgMkE7Nq1xO8g/AjGqT8/ny6jpiaAJ3oRMyVcF8EiJobCgGNjRM4cDkUQMgE5OVTAu2JnC8bo5Ag+he3tsmr+pCZkAlIzM/HO++/jtu99D7szMqTzwFkjYDzKWjqIxfbt27kSnIG9Rf2MqVBVRUGyHVsc0B09QHHr7YEv+orB/DxZset0wLZtGB1jsFjEtc1RBCFz46WaZ3HtC1ej1daLyzZeit+fexvSzaEtqE4nFU45HHSKvaQUohCUMazVSuVcQguaQHahIyOUxiwuBv7znzD1j/KDqSlKK8fEYChrM2oaNCgoWNwLXLGEbCnGxmgBragIq21GKK2TxsboHl6QY42M0AOB+uEpDYODQF0dnDExODg/j9SsrIgTsqAwPk7RS7OZrqtAJ5dVIBchW4a+PkrLarWins4YO8Q5j+IFc3WcjJTJiKVVlu4KYeTlAdoYDaVqynwLxqMGOh0dR3ExwBgSE2nunptbOduhFELWPdmNTz/xaZz3f5+EVm/E6zvvxsPn/TlkQgYQH9qwgb6HQDPVQTv1G41UaTAzE3gLpaQk4LbbgA8+AP70p8BeKzViYxciNCmDNVhf7kJ2tufPUUPIgIXuC6F0kggUofaytFg8hIxz0LUhXIfDw4p3m/eL1FQ4161D/aFDyNBoFEXIJidFF4rSydlITeVx5Iik2sWwETKAMkZCsVVdHZnmnuA4GSmTCWJsLzj3iig5nYFFNZQKhwMOaLBvH83j5eXLn6IEQuZwOXDnvjvx4zd/DIfLgR+e/kN859TvQK/WSd4de3ycOIbY0xs0IfNGTw9Ndqmpgb2Oc+CjH6VoW319xNNv6O+ncWRkAGVlcDqBvr4htLRECSETMDREOdiEBIpsyBiFlLK5eFsbBV83bHA/MD9PpN1oJN2cyAiHUiCkLNPj45G/bh09uGgijhx6e8mvbMeOhVqX1SGQfYB8B4WCnyARVkLmDZvNU+m7fr2nOGMJTkbKTiIoiCFko6OU9bPbQTPfkSPRXY0J0Kyyfz80rnlkZtJ6utQEVAmE7L2u97DtT9vw7Ve/jd15u1FzdQ1+sPsH0Gv0nu7ijY2S6f0SEoiQOZ2rbwQlIWQAdZAQCFkgAm3GgD/+kSbJSHqXCUhPJ2dT97G89dYYXnihEzt2RBEhA0jvV1ZGecHaWmkbfHpBSkIG0HU7NORVAavTUYTGao2K/oze8NaQLRCy6WmaiK3WyA4OHh7itwrTF+LiSKag14dMLCNGyADS/G3dSr+PHw97hamSsOJdyxhLXOknXIOMJog1htXpaB5oaQHtbqang24LohjExxMBqK9Hfh5HXBx5ms7N0Z8jTchGrCO48rkrcdpfTsOobRRPf/ZpPP/551FoKVz8RKeTWHNNjaSLTn09rWPC97EUkhEyb4yMUGQjkIrM0lLyLnvsMeDll6UZRyhw910dGhqCdbQKBQUV6OqKIkImID2d/Nhk0pVJTcgAquUxmUj0v5B5TUyMOmLmV9TPGI3/yJGIF13p9cSxxFjALILRCGzb5jH0DuI4IkrIBAiebElJdMGdoAUAq925hwAcdP9e+hN5Fb3CEIhTv9lMvob9/cAISyZ/po6OiE8MIcFkIm3Z6ChYdxfWraOAQF0d4HRGjpC5uAt/OfIXlN1VhgerHsR3PvQd1F1Th4vWXeTbc0xoZjk/L2lUo6CAgnC+3lIWQgbQLK/VBl6R+V//RZGdq69WRBRhaGgIje+9h7PjHSi2TKGvL7AqX8UgKwsL/jF2u2TXlhyEDKAsa0kJXTqL9ozexCyg0E74sWKVpcnkKYg5ejTi7YySkmj/ND8f4AuFeWxoiKqLAiA0iiBkAgQhbm4uFQCcgFjx7uWcF3DOC92/l/4UrvTaEw3BtE7KyyNy1tAA2POKKXxWVxfdaczMTErVtLUhZn4CJSWAVuvC/v2RIWTVA9XY/cBuXPHcFShPLseRq47g1nNuhVlnXvmFsbGeEvoA++f5g9FIPGdiYvFbykbIACJkFRWeVi1iU5l6PaUx29qAn/9c2jEFCEHUv+1jH4M+ORkFM8cRzybR2KgIvhgcHA5aPCXoTyYXIROQkEDZ456eJXUKiYkkgFKwG7so24uYGCJmOh3dIxH0lrNYqHA6UEebBSQl0Qa/rY1C86uQfkURMgGMkQemIKzr6FCMCXM4IPoOZoxZGGM7GWO7hR85BxZNCLaXpUpFm2a7HRgc09KKPTcX/RUoZWU00dlsSE11YWbmIFJTw0vIpuencfOrN2PLvVtQP1yP+y+4H29/5W1UpFWIf5P0dIps9PX5zzkGiNRUesuuLtrUykrIBBiNFNWw2ShiJpb0n3EG8OUvA7//Pb0uAlhUZWkyARUVYGYT1juOIUEzHVHXjpCg0dDF0NsbEjGTm5AJKCqiDNmyYhWhd+z0NJHMoNmE9AjIh0xInWVlhSyWDwVxcdRaOC4uyDdQqagaPj+f0jArbMQUSciWYn6eWksdOkQb5BMAoqovGWNXArgBQDaAKgCnAHifc36WrKMLAeGqvpSiubjVSusmAGJoUVbR5BOcw8X5QsoyI6MIzc00X8h5eJxz/KP+H7jh5RvQNdmFK7dcid987DdIMvqu5hHxhrTQiGxcLgYuF3VLSUmx4ehRmQmZNwYG6GLLzxcvCh4epp1DWRnwzjth9S7za3sxP08aILsd2LlTco+msKKlhRh6djal/gNAuAjZUvgsFJ+cJAIgtASS8H4JBiEbw9rttGvKzJR+cOFCfz8VLG3YsKyaMSoImYDZWaowtVrBzjjjZPWlGzcA2AGgg3N+JoAtAIZWfsnahxSEDPAQMqsVmOduxtLfH9VtTQRClgKgyGCA00kbnYYGeT/3K89+BRc/cTEsMRb856v/wX0X3Bc8IQOIvAgLTG9vEGKP5VCpgJwcImQVFZuQkBCmmpm0NBK2MSb+2kpOJu+y994DHnxQ1uF5Y0UfMp2OFv7CQjhUOlRXkydoVKKoiAhZd3dAzaYjRcgaGoh7LUNcHJ0Tp5MIcwTzypI49Qv+FE1NslXK+sPICN1uIQfn09Opq4RAyNz3fFQRMoDyuVu3+rXJWGsQezfPcs5nAYAxpuec1wOIctfT0CAVIRPgdJI1VEMDaEJraJBEbxIJeFdZFphMQHMzYl0TKCqiwIuc1c5T81QoEa+Pl8QAdgGzsxTeqqkJWfMnpCwrKjahry9RdqK6DFYrsH8/EX8x+NKXKFL2f/8n77jcEGUMazAAmZlQqwH7hBUNx+3RKzspLiZylpYm6umRImQAca+JCT8kODaWegUBkhuaioVkrZNyc6nqt6cn7DpfvZ72fpLUHOj19Ht8HPjgA1i7uqKLkAlQq/EBFcGtATPPlSH2ju5mjCUA+AeAfzHGngXQK9eglA6pCRlA6YD8fNol9U0YqQpgYGC50ZfCscz2oqyMFtDaWmSn2ZGURBkbuWRz//eZ/8P9F9yPYwPHsPmPm/H3Y3+X5o0NBkrjTUwQOQsS3hqypKREmM10mnvDeTcZDCSibWgQN/MzBpx2GhE5maMGgTr1M+7CevtRsNYW1B5zRG+NTE6Ox9l8hbBfJAkZQMEXs5kKVXx+1yYTEbPkZA8hCBMk7WXJGBHloiI6H2HsxmAy0aUgqYTKaISNMTQ89RQ2p6REFyED8IlPfAIfOvVUAIhsXjwMEHVXc84v4pyPc85/AuAWAPcD+GQwH8gYMzDG9jPGjjLGahhjP3U/nsgY+xdjrMn92+L1mu8zxpoZYw2MsXNFjdkuT+pPDkImICuLKp2am4HZtDzaeTY2SpIyCwd8+pBpNOTQbLcD9fUoL+PQauWzZGOM4atbvoqj3ziKTWmb8IVnvoAvPfMlTM4F4NPlD6mptIPu7Q2KRfkS9eflURFbc3MY3VBUKtKZGI0k4BeTatq5k3YMbW2yDSuo1kkqFQyVZShPGcFUdTtamqKVlbnR20ueKT4sDSJNyAAPV5mdXSHbKpQZq1R03wfikRckZGsunpNDm7HZ2bCRMqHnqJTuHFaHA/tmZ1G4YwcShoZowomCbj5OpxOMMTz//PN4+OGHASDKq+BWh6g7mzF2CmMsFgA4528BeAOkKwsGcwDO4pxXAtgMYA9j7BQA3wPwOue8BMDr7n+DMbYewCUANgDYA+AextiqIUw2Nyu5JktOQgbQzSi0JapvYODl62giqK+X/LOkxorGsLGxNJOPjEA7NYrKSt/tl6REXkIe3vzym/jJR36Cv1f/HVvu3YL9PftDf+OCAg+LCoAs+6uyZIyKH3Q6yb1qV4ZG42n3c+zY6seycyf93i/Bd+gDIfWyTExE8odKkB0zgqH9bbDPK3+x8YusLI+lgdfORQmETIDFQvKevj4R63pTE/l/yVg5JxshE5CeTtYfOh0dsESV2CshIYF4oBQZ4AUN2datiD/1VI+GUeFCzJGREWjcRsvHjh3DZZddFuERhQdi7+4/YDFDnXE/FjA4QXgvrfuHA7gQwEPuxx+CJxJ3IYDHOOdznPM2AM0Ador4IDjauoIZok/ITcgEGAwkMYmNBXiMkbyysrJk+zwpIMqpPyuL0hpJSTAaiQs4HPJ6NWpUGvz4jB/jrS+/BYfLgdP+chp+8+5v4OIhRFMYo8hfRYXoqr/VbC8Er1ogzI4CBgMdR1zc6o05N26k58tAyiRpLp6aisKP5GB7eje0g1HcokXYmaWmUo6wu1tRhExAaSlZZKxaxFtcTNdNdXUQVvWrQ3ZCJkD43ltaSPw7MyPfZ4H2fVlZobfkXCbqZ4zOyaZNojWMkcChQ4eQ7DaPHRsbQ0VFAFZGUQ6xdzjjXt4ZnHMXgKB7hTDG1IyxKgCDAP7FOd8HII1z3ud+/z4AQiflLADe7Krb/diKmNcYsX8gT5JgWbgImYCMDAosqVSgXZpQdaLAcHNArZMSEuj3zAxgt6OpieZqufXAH879MKquqsJF5Rfh+69/H6c/cDqeqn0KdmeQYSmNhsIFAGnMVhAyifUhi42lYFTYLZJiY4lkCs05/V1jWi2twm+9Jel1KAkhc0OVnQndlg3gmVno6YliD2YhfJqSgs533sHU6KiiCBlAcjGNhi6FFaO7Oh1txkwmSpVL6P4fNkLmDcEo98gRWU1mY2Kok0Iot8SKVZbCXGSzkQeYglyY77//OdJCIAABAABJREFUfmzfvh1GoxFOpxMJwrpxgkCsT9nTAN6EJzp2NYAzOeefDOnDqXjgGQDXAXiXc57g9bcxzrmFMXY3yBPtYffj9wN4kXP+lI/3+zqArwNAamrGtu9//wUkJswiN9cWtL/S3NwcnE4njAtGYuHD9LQaw8N65OVZYRgegnZ8HNPFxaFvnySE1WqFWq2GXqSolzmdiKuthcNkwlhWIRoa46HTOVFSIr8RKOccLw+8jIfaH8LA3AASdYnYm74XezP2Is0Q+K5RNT+P2Npa2C0WWPPyfH7ezMwMYmJioF4tErXwGqC/3wCTyYG4uDBaojidiG1uhsNshs1PZDbz2WdRevvtaLruOvRcfHHIH+lwODA7OwuTyeS73VWQmJ7WoLnegEzDMFI3RmGPTDfmZmfBbTYYFCzKbm42A+AoLl45csScTphaWsCcTkwJbaZCxMzMDLRaLXRh9qlTzc/D1NIC1fw8ZvLz4YiPl+VzOAdsNjWMxsC1bC6XC1arddW5R221wtTaCsY5ZgoK4BD6Z4YAznnQ9/OvfvUr/Otf/8JZZ52FW265ZdnfzzzzzDXvUwbO+ao/oKjVY6DI1gCARwCkinmtiPf+MYDvAGgAkOF+LANAg/v/vw/g+17PfwXAh1Z7323btvHmejt/467jfKyqnQeDpqYmvm/fPu50OoN6fagYGOD8jTc47+jw+kd7cMciNZxOJ9+3bx9vbm4O/MXd3QsHNjRE/xvM2wQLh9PB/9nwT77373s5+wnjqp+q+PmPnM+fb3ieO5yOwN6svZ0OoKtr0cNWq5W/8cYbfGRkJLCxOTjfv5/zd9/l3GYLbCgho6mJjqW72/ffXS7Ozz+fc52O8yNHQvqowcFB/uabb3KbTAfZ+FoHf+P/HeFD1X2yvL/caGho4AcOHPDMPe3tnPf2RnZQPtDVRZfM8LCIJzscnM/OhvyZDoeDv//++7y1tTXk9woa8/OcHzzI+TvvcG63y/IRvb303c7MBPa6mZkZ/sYbb/DR0VFxL7DZaNJ5803O+/sDHqc3Dhw4wBMTE/mjjz7KXS6X6Ne5XC4eFxfHAfB7773X7/MAHOQS8A4l/4itvhzknF/COU/lnKdxzi/lnAelEmSMpbgjZGCMxQD4GIB6AM8BuNz9tMsBPOv+/+cAXMIY0zPGCgCUABAlbMkv1sCQZETj+yNwTQWmAQh3ytIXUlMX2khi2phKD7S3R7xpeUApS1/Iylo4sGTtxELbIRkkJz6hVqlxfun5eP7S59F2Qxu+/+Hv40DPAZz/6PkovLMQv3z7l+ib6hP3Zrm5dCwtLQti5lBaJwn9eIXG5WFNwRUVkZVBc7Pvk8EY8MAD9JxLLglaVyNlytIfis7IQWyGCfVv9GG2U9mC5qVYpiHjnFJlDQ3iveXChKwsKrZsaRGR1VarKe/JORUvBWFYGJGUpS9otZSW3bSJ8rgyQMjaBVIjEZQxrMFALaYSEsiTLQQbpsrKSrhcLnzhC1/ARz/6UXR1ra7rnpychEqlwuTkJPbv34+vf/3rQX/+WoDY6svfMcbiGGNaxtjrjLFhxtgXgvzMDABvMMaOATgA0pQ9D+A3AM5mjDUBONv9b3DOawA8AaAWwMsAruGci4rnqtVA6ZnZmHVqMXVYvDOzEgiZgNJSuv/r6wFXcWnEm5aHTMgEePmXFeXakZlJ/kfhRl5CHn5x1i/QdVMXnvzMk7AYLPjhGz9E7u25+NIzX1pddyYIs41GoKYGtomJkHtZGo30lpOTtNiFDYKWyWwmRuiL/CcnA3//O1m1XH99wB8RDkIGACo1w/rzi8CNJtS/2gmMjsr2WVLCp6ifMSq0sFhoIhgYiOwgvSBYZFitAbjEcE5VPk1NtBsTCcUQMgFqtadJZU+PSGYqHjExNEWKLYYKyalfqMYWqsuDhFarxXXXXQeNRoN33nkH5eXluPPOO+Hys17V1tYi3p3+HRoawo4dO4L+7LUCsZqyKs75ZsbYRaCqyJsAvMHJ1kKR8O59Od/ZD11rPSknV6lkVBIhEzA8TBrZ0lIgM2aMLAwqKkK6eYKBZIRMwPQ0LTAFBQuaP+FyDIdsbmB6AIf6DuFg78GF371TtLIwMOzK3oU3L38Teo0IvZzNBlt3N/b19EjWy7Klheb6HTvC3Epwfp6iMispjb/3PeC3vwX27fPYZayCcBEyb4wMOKCrP4ZYM6dWLQrSYy7FqlWWLhdVxoyPE3lOTV3+nAjh6FEa3haxRkmcE/EfGiLX7Pz8FZ+uOEK2FM3NZDORnk4bTomus/p6ClqfeurKbyl56ySHg6p/CwsDjgT29fWhoKAAc27rEJPJhOLiYjzyyCNYv379wvMef/xxXHLJJe6Pc4jS3TLG1rymTCwpq+Gcb2CM3QfgKc75y4yxo9FCygAAR49idFoHy6nr/F7cSiRkAkZHaaPMGMgnJ8xu2ZITsuUfABdUqK4G4uNXnaMDxuDMIA71egjYob5D6J4k90sGhrLkMmzP3I5tGduwPXM7NqdvhlknPnS3KGVpNNL5CXFi5pwyhJGIIC4ahMu13DJjaopCJOvXA2+8seqxRoKQLWB+HmAMdmih1Yb3o8VCtO2F00k7tLQ0IgAKwfw8RfQDuuQ596Rk8/Joc+YDiidkAjo6SGuSmEgaBJHFPSuhv5+I2Y4dVMDqC7L0shxzb/5jYigAEOCu8Pzzz8cLL7yw8G/GGAwGA771rW/hlltuwXe+8x3cdddd2LNnD1566SXR73uSlAlPYuw3oAiZDeQRlgDgec75LjkHFwqWkrLxYQeqjmtQXEzeeUuhZELmjbk5utc1GhBTM5tF+2UFC9kJmdVKE0BpKeoHE9HfT72Ng51fhmaGFkXADvUeQtckpUkYGEqTSpcRsFh98F4UiwiZyQQcOABkZtIuUyIMD5PkQyb5in/U19P5qaxcvsjccw9wzTXA888De/f6fYuIEjI3OjuB7i6O7fFN0BVk+V/hIoCAfcg497Cf+XnZ7/9AILiqiL5OOaeITFKSR0S16P2ihJAJ6Ouj1L7ZTGHDENeS+XnamPmzEpS1ufj4ODlac07p8wCsKd5++23s3bsX00v66RmNRljd9hu33XYbvvWtb4l6vwceeABf/epXAaCZk8H8moUoUgYA7rZHk5xzJ2PMCCCOc64s1akXlkXKQJH/sYF57Fg3jZgsT3opWgiZw0HenYmJQHnhPPDBB3SjVFTIlpaRnZABnm7s8/Nwbt6Gw7UGzM8D27evHhActg4vi4B1Tnic0EuTShfI17aMbdiSsQVx+jjJhu5T1N/YSAKb8nJJohmzs5QlTE72mMyGDUNDNDELH+59ndnt9JhWS/krHyuxEggZQAvboffnkNBbh4oiK9jWLWHOCftGSMawk5NAVRXpGhQQNXM66TpNTSV/0qAwMkK7MZUq+giZgNFR2sj42v1LCFkJmQCbzdOKbf16KmoSAc45CgoK0LGkXZher8fc3BzefvttnH766au+j91uR1paGsbGxrBnzx68/PLLaz5SFsi+OwskxPeeWf8q8XhkRWkpcOBINxo6x1H5eSNYjCFqCBlAa15GBkXJExN1SC0uJgLQ0yPLBBAWQgbQFnDjRuDQIajra7C+fAsOV6lQV0cBGoEHjFhHFiJfB/sO4lDvIXRMeG76ksQSnJpzKq7feT22ZW7DlvQtiDfI4yEErFBlWVJCk1lDA2myQjQ/NBgo6NbSQrronJzQxh0QUlLoeJqa6ForK/P8TasFfv1r4NOfBh56CLjiikUvVQohAygwVrROjyZ7GXoGjyP76FGqnovguEJ26jeb6dqqr6dohmBsGiGo1bRh7O2lazRghYXVSjtniwXOdetw4PDh6CNkAH0JwnwgqPRDmAMmJ0l+m5npeSwshAygjcuWLaSZixO/mW1paUFsbCxMJhNm3FXaRqMRu3btwrPPPotYES7Zb731Fs444wwAWCBxUvoZKhVi05c/BnAGgPUAXgTwcZDZ66dlHV0I8BUpA4C+tlk0/LMRJes0sBXoooaQCeCczKStVtIZ6JuO0+5y2zZJxUdhI2TeECoaMjLQZsrFP6vexYT5EI4OUhSsfbx94alFlqJFKcgtGVuQYEgIzzghwvbC4aDon91O50aCxb+mhr6iysqQeV7gaGuj3cBSUTbnpELu7CTS5k4LKomQeeP4cWCk24ptqiqY49W04EQg/SdZ6ySXiw5qdNRdCZS5+mtkhBDVzcwkLh8w+vvhrK1FTVcXYj/0IRSUlko+xrDi8GFiVELrrCAgtEE9/XTKhoaNkPkC57QzzMxcMUfd3t6+iEwbjUZ85StfwR133IGJiQnEx8f7FfZzznHOOefgtddeQ0pKCnp6eqB1i0FPBE2Z2Nng0wA+CqCfc/4VAJUAwqs0lwgZBQakbUrDSHMtphobo4qQAR7XAs7JGYOXltGiIqGpVUQIGUApsrw8TE+P4lMvnIYbDp2DH731fRzpP4KdWTvx24/9Fq9/6XWM/dcYmq9vxmOffgw3n3Yzziw4U1mEDPCUmKekSLbol5fTxrWmBpK0DwsIBQUUjV26CDAG3HorhUduvx2AcgkZQIG+mEQjbMUVdL+EtdkoQdJelioVRZmTkogUy9lMVgQMBgrY9fYG99U6U1JwZH4eKQYDCiYmwtL8W1ZUVFArs9ragOw/vBEbS/P91FSECRlAg2hro8iAjxOckJCAq666Cvn5+Rj3uhYvvfRS3HXXXVCr1UhKSoJGo0F9ff2y1zc3N0OlUuG1117Dgw8+iMHBwQVCdsJAjMMsgP3u34cAxAFgAGoi7Xy70s+2bdu4PzQ1NvLqv/2NO996SxKH6Uigt5fzmhoyyeZjY5K5fYfk1C8BHA473/v3vVz9UzV/8MiDfGh6hLe2Kuc0BevUz+12csQPETMzIZtuS4OlJ+STn+Q8NpYP1dbK6tQvBRZOg3enDgnOjRgsc+qXCk4n5z09YTuOlTA7y/lbb3He2RnY6xY59Y+Ncf7224rsYhAwnE7Ojx8ne/6mpoDP0dwcvbSx0RqYU79cGB2lTgbvvsv5+PiiP91xxx0cAAfA5+bm+PDwMN+5cycHwM877zzOOeezs7MLz7njjjsWXnvzzTcvPD42Nubzo3ECOPqLJWX3gCouvwGgCcARAA9EevAr/fgjZULrJMfUNO98o5n3dcnTIiNiCGGyjzQhc7lc/NoXruX4Cfg979/JeU0Nt07M87ff5vzw4civN0ETMoeD8337OG9slHQ8ESOq/f206npPyHV13KVW866LL1Y0IfNGby/ng4OcegUdOuTe4cgH2QjZUthsRNAiCKs1sOf7bJ00N+f5/wi1upMMLhcRstraoF7+xhs2/sAD+yJPyATMzHD+wQecv/UWf+Hvf+cA+F//+lfOOefHjx9fIFfV1dWcc84ffvjhhccmJiY455x/9atf5QB4Tk7Owt++973vrfixJwIpE9tm6WrO+Tjn/I8gt/3LOaUxowqLRP0mE0YSitDcronqCLnVSpFxpxOkLdu3L6i8QcRSll64c9+duOvAXfj2h76Nb274MjA8jJi2WpSVckxMUNQ8UgildRLUakov9fQE1VrGFyYn6VRHxNw9MZHyVNXVC62WhpKS0Ld3L7Keew6G7u4IDCowcE7uBQ0NwCwMlJaprnbfSNJD0pTlaujuplRmZ+fqz5UJQmGrmDS73ypLIe0/NUUX+8SE9AMNFxijktTycvr37CzpTUXAarWire0YcnLKI5Oy9AWjEfudTszGxOC8vXuxd+9efOlLX8KZZ56JDRs2LBjHVlRU4NZbb8Vll12GTvf1GB8fj3feeQf3338/Pv/5zy+0Ympubsavf/3riB2SUiB6dmCMXcwY+x8A1wGIzKodApZWWTJG+hJum0Xjc/VRq12YmwMGB8nqB0YjzYJ1dQG1+1ACIXu2/lnc9MpNuHjdxfjd2b8jIUVJCTA2hlRrOzIzaY0JV39Mb4REyAQUFnr6SkrQ8ic2loqhGhqCbkEZPLRa6vmnUgHHjmGouxu1tbVIvOMOML0e+O//DvOAAscibeZQMnj5Oo8vk8QtzMJKyAAy9U1Lo0lhiSVBODEyArz33srXpyjbC6124VqLlnZZfsEYXXTHj/vVZXlD0JDt3VuCs86SzspHCuw67TTE7NyJqrY2PP/883jivvvw5ptvgjEGq9UKzjmuvvpqfPe730VBQQGys7PhdDqRnp6O3bt3gzGGRx99FHv27IHL5YrY2qM0iO19eQ8odVkN4DiAqxhjd8s5MCnhz/YiJgYoyOcY6Z3DwPutERxh8LBYSH/d0wOMWGOoAmtiQvRkrARCdqj3EC59+lJsz9yOv130N6iY+xxlZCx4gBQnDMNspgBAONt+SkLIAA8LMJkotBkik2KMbIM0Gprfwy78NxiATZswNjyMrhdewK4dO2DIzwe+8x3gyScpsqFwxHjfLrZU2qWNjtL5kQhhJ2SApx9rejqFl9vbw/O5SxAXR0Px9/GifciEhtkxMRTNDKFhtiLAGG045+epOtNXj1ksFvWnploU1yFsfn4eALBlyxb86qc/xWdKStDz4osAAIvFgn//+9+4++678e9//xvt7e1QqVTo7+/HY489tvAeb731Fl566aUTwupCLMTOEh8BcC7n/AHO+QMAzgNZZCgeq/mQZRXHIL4sHc3VNjh7FOuFuyIKC2mtb2gA5i3u9isdHauG+5VAyDonOnH+o+cjxZiC5z7/HIxa4+InlJQAsbFQdXVgw3q+EKAJByQjZAIEP7b4eEms+XU68m6dnfVYVYUTQzYbahjD+rPPhsHoPm/f/jZFaW6+OfwDCgJpXreLLSGDrjeJUkQRIWQChFRARgYRzXDuZNzQamnDODRErhDeCNgYVqcjX7m4OIpmRrjKNGTEx1MvVpWKDICXpAB8VVk2NVHKXSnQarXgnOOGG27AD37yE2R87nNINxrhevdd5Ofl4aMf/SiuvvpqnHnmmQuVmFlZWTjjjDOQnJyM+fl57N69O7IHoUCInSkaAOR6/TsHwDHphyMtxBjDMgaU707Fxko11G3NUZnGVKkoauJwuGUkQiPpsTG/r1ECIZucm8T5j5wPq92KFy59AelmH67kQsl/ZSVijGyhO46fzaVkkJyQCTAYqExer/f0lQwB8fGUrQq3Ob1ge7H9Yx+DQWgnJTTq/MlPgHfeAf75z/AOKkiUlHi198vKoh+ABJtBEsuIEjIBjFEosLKS7qMIELOcHNp/eOtBg3bq12gobV5YSBd+tMNoJGJmNNKuwH2t+bO9mJhQZpDw9ttvx9tvv43+gQGozzgD3cPDaPvrX/G7H/0If/jDH8AYQ4+XlvaXv/wlhoaGTjyrC5EQax77FoAdAPa7H9oB4H0AVgDgnF8g1wCDRUVFBb///vvF+5DZbMCBA3CkZkJTHmyPkMhifJw2kioViKH5icYogZA5XA6c/8j5eL3tdbx02Uv4WOHHVn+RywUMDmKApaOujrhacrL0Y5ONkHlD0JVotR7xb5TApw/Z7Cz1/ExLI08zofVXdXUEGnYGD6uV1kjYbMDBgxRGC9AFVRGEbClcLjoXZjOx+DCio4NSmLt2AVqthK2T5uep0iWsLS5kgNNJ50erhXV6GvsPHvTpQ9bQQKTswx+O0DhXweTkJOLdZPnhX/wCl11xBY4PD6OiomLhOWNjY0gIwfn6pHmsBz8Cufj/2P1zHoCfA7jN/aM4OByOwIxhY2LQnbwZ+4cL4U6VRx0SEoiQOZ3ArMO9EE5NLdpeKYGQcc5x7YvX4pWWV/CHvX8QR8gAmoDr65Ey34PYWErZSe39GRZCBhBhiY0F+vslq5KbmiIeIWew168xrMFAEabeXhI4/uY3dIIeeEC+wUiMyUnilb29oLBZZiYdS6t4vakiCRlAE4PJRAamzc1h/ejsbOo+IikhA+jeaWkhthIFqXK/UKuJkM3MoObxx7ElJgYWH5HAuDjaa9tsERijCMTFxYFzjnPPPRdf+OEPcerFFy8QsssuvRSc85AI2eDgoEQjVTbEWmK8BaAeQKz7p45z/pbwI+cAg4XJZAp4UrTkxcHhUqGpzoGoZWag3tDHj7uzFe3tVI05M6MIQgYAzzY8i3sP3YuvbP4Krtx6pfgXpqcDyclQtTZjfeY4AGmL5cJGyATk5VHrldZWSfISajVN2DIUEAIQ4dRfWEjnqL2dusmfeirw859LPxCZEBtLG5uWFoqYoagIC2W/IvxYFEvIBBQXE0Pq7g4rkVGrAb2eCFlqqoS9LHNz6R7q65Pvog8TrFYr9h84gNLt2xFvs1Gl6ZLqHaFdpNzSjVDx8ssv49FHH8X7778PAGh+9FE8/K1vhbRbHBwc9NkBYC1CbPXlZ0Gpy88A+CyAfYwxxfa9DBYmE5CfxzH0XhMG3m2K2t1XXh4Ja1taQGJfjQau6moc3Lcv4oQMADanb0ZefB4eO/4Ynq57WvwLhaqymBjEtNagPH8WU1PSbPzDTsgAz/HExxNxDtGHyWikt5uclD4YIrp1UlmZx/ojwn0YA4VwOhjzKpwoKVmoAF6JOCuekAkoLvYQmTBFzAQN2fR0Nmw2iZuLFxTQMQ0P02407GXIocNbQxZfWUlV2pOTVJnpFRYzGimAGw3L0iWXXLJghlp09tm0yzl0KKg5TiBku3btkmGkyoPY2eMHAHZwzi/nnH8JwE4At8g3rMghJ5chvigJTTXzmGvrjfRwgkJSkscmY3hSB1dZGRqqqpA+ORlxQgYA+Qn52HflPlSmV+JTT3wKv/vP7yBG2wiA9EkbNwKcI3m4HgUFoRfLRYSQCRAKGWJjJSkrTUkhiU1vL2V3pEBAvSwFr47iYiKalZXSDCJM0OtJGz856XaVEcTyAtn0gaghZAIEIhMG0uwt6i8qysbQkDsKKSWys+maczqjg7F4waeoPy2N7hu7nVIe7mNSqUiXl5YWwQEHg6QkYNs2CplWVQVUQupNyPT6qGy3HTDEziAqzrl3QnckgNdGFRgDyk9PBYuLxdTxDhlmkPCgsJA0vXV1LrxX1wrjunXI1etpR6kApJnT8O8v/Ruf2/A5/Ndr/4Urn7sS806RKWOjkbwgSkuRl0dEBAhuPo4oIROg1ZIPk5CfCDENU1hIaTgpTnVQzcVVKiIw9fV0nqLMiT01lbKwC9ZJjFG0jDFKwXhVkkUdIROQnY2FUua+Plk6GSytsszKoksjyL7cKyM1lRZ+rZbuH6UKr7ywYnNxwTJDCN1GO4xGOj8Wi2iPxhORkAHiidXLjLFXGGNfZox9GcALAF6Sb1iRRUwMcMpnc5GcxAN2x1cKVCqgvNyFzs4aJCYmIm/3btrtJyVFemgLiNHG4JFPPYIfnv5D/KXqL9jz8B6M2fzbeCyCxeIukwMwNYX+fhK5B5K9UAQhW4r2dkrDhEDMGKPg24YNoQ0lKEImQOj9lZJC+hilC2GWoLycsnzL0NNDhlEdHdFLyLwxPU2OzD40TKHAl+2FTkdkd2BAJsmuQF5aWoJOlYULKxIyATExno1aSwvQ3o7BQeCDD2TrBiYvNBqqyhayNTMzfltNnaiEDBAv9L8ZwL0ANgGoBPAnzvl35RxYpKGO0QGlpRicNMA2FX06BZfLhdragzjlFCPWry9avNufn1fMXa1iKvz8rJ/jr5/8K/7T9R+ccv8paB4NQOvS1wccOoQY2yisVtIvi4EiCRlA0YuJiZA3AxqNJ7DT1hb4W4VEyAAilgBw7rkUvTh2LCqjzqOjSxzpCwqAtDR0vf02Zhsbo5uQARROFzRMR4+K7se4ElbyIcvJoWtR1vaoOTl0zR09Gpm+bKtAFCHzBud0XtrboWpuxKzVFf7WalKBscWtpg4dWuYsfCITMkC80P+3nPOnOeff4pzfxDl/hjH2W7kHF2nYE1LQqN2A+hZtVAXLllZZ2u1kUTQxASJjhw7R7lhB+GLlF/HaF1/DiHUEu/68C293vC3uhampgNmM+J5aFGbYMDS0enpEsYQMoMhSURGJygOwYvCHkRHSRgXiuhEyIQNoQTQaacGvrKSJ+OhR6T1MZIZAyhZaLjKGRpUKEwYDNhqNUEnUYD6iSE2l0OrMDGl+QghjrWYMGxNDl4Ss1mIGA6X+TCZa+BVkgx8wIQM8FSgFBTBNkQ3IzHjo5DmiELSnnFMPUHcRzYlOyADx6cuzfTz2cSkHokRotVR8NTE0j643WxQTXVoJvmwvVCoKUtTWAnaXmgS+AwOKmqwA4PS80/HBlR8g2ZiMj/31Y/jr0b+u/iKhdRFjyBmvRorFgdZW/11YFE3IBOTkkOdXV9ci/VIwyMwkYXBbm7hezpIQMoAIWEUFnZ+YGHJidzrdJcHRA6GFWX09BSsaGxsxOTWF9RdfDJWQi4tiK4YFJCXR+ZqbCzrVLNapPzWV5lZZodVSWyaLha45CSKAoSIoQuaNvDwYNpdDPTuDmYPKlNW8/bbIzTRAqdlt2yhaW1OD4QMHUF9Xd0ITMmAVUsYY+yZjrBpAOWPsmNdPG6g5+ZpHWhqQYrah/dgkZo6v7lUUSfjzIVOraVMyP+9O7+Xm0mTV1LS8KV2EUZxYjA+u+AAfzv0wLv/H5fjhv38IF19l0TMYSEBls6HMVYeYGN+HFRWETEBxMUXNJHDDLy0lYlFXt3KgSjJCxjmRMu/KS7OZ/l1aGvz7RgAqFUV27Hbg1VfbPRoytZr+sHkzPUmBC2TAsFiovE/QnQZANgNtnTQxQdF7WfmsWk1Ec8sWDwuM0HkKmZC5wdJSYdxUhBlLtmIKAO65556F5uQf+chH8KUvfUn8i3U6oLISIzodOqqrT3hCBqweKXsEwCcAPOv+Lfxs45xfJvPYFIPSHfHQZKSg7oMJ8FGRQvQwYzVj2NhY2vUPDwM9vYwWFI3GI8hWECwxFrz8hZdxxZYr8Mt3fonPP/V52OyrVFMlJAClpdDkZmL7diou80ZUETKAJtwNGzz17yGsXkIwkXP/GVHJCBlAgqGxseV2GLGxnuq49nbFXXf+YDYDnLeiu3sOBQVeGjLG6B5yuci8VFahVJggkJeREWD/flGVcsH0snS56CMGBkIZrAgw5qky7eyk+S7MkU2pCJmAlIJYxOa557CBgTB8icvxne98B/1uz51rrrkGWe5+sbfddhv+9re/4fjx46Lfa3B4GDUOBzZ+/vPQGwwUPYiC6lm5sCIp45xPcM7bAdwBYJRz3sE57wBgZ4ydGE5uoHmq7MxM5OUzsIZ6xRkUinXqz84GEhNp7XBpdBQ+MxoVucvXqXW47xP34Xcf+x2erHkSZz50JkZtq+TfMjKApCSy+7LbMT5O83DUEbKlGB6mBTIEPVZMDAUNfAWqJCVkgEfk78+jbGKCSFltrSKvvaVobGyEyTSKT36yBElJPqZMIWLR3BxyulkxMBiIvFRVrZjODLa5uMVCZLerK4yXgEpF2iWJK01XgtSEDKBER2Gh+x8DAxQCF9FxQkrcdtttyMjIAAC8+eabGB4exqOPPopvfetbAICKigpR3pOLNGQxMfRgYyPpnpfoLfqlMl5UOMRqyv4AwDshNON+7IRBUooKKaeWAPPz4K3KSWMG0jqJuQNkW7e6fUoTEiiEotCG0Ywx3HzazXjwkw9iX88+PNfwnLgXuuvGh9pnUFc3h1dfPRy9hAwg4uxwhLyYxMd7AjuCW4DkhAygSj7v30thsRA7HBnxss5XJgTbi23btiItjabLubklQxZEy8nJJAlYC8TMZKK0n1pNJNuHvUSwhExAbi5pXcNmnSiYzE5MkLhcziaxkIeQCeDcHfDbuNHTcSKMUcBud1T4mmuuwUc+8hGceuqpuPTSSzEzM4NJ931/zjnnACDixRhbRqr8ivqLi2lTUF2NFx96CJmZmWCMCSTQFI7jiyTEkjLGvWgv59wFQJkruZyIjUVf0kYcGi1QROYlmF6WWi39cO7VNWZujnbECtOXCcgw044sL96XcZQPJCQAGg2yxg6io6UKWm0FYmKilJABRMo2bqSQ/kJT0+DR2krrbFvbsPSEDAA+9Snayt98s38SmZlJzxkYCHuDbLHw5UNms1HQchnvUqlowU9KImKmsCKaoBAT49FjLbE0CZWQASSZjImRyUzWH1JTqehkdpaImUwkRk5C5nAA77xDXTugUpH/ZGEhbUZD9DgUi6ysLPzkJz/BPffcg6amJrz77rsAALPZjNjYWDz44IN47bXX8N577yE1NRUAFiJrgH9CZrfb8fu77gLbsQPsjDOw98tfRl9fH67+5jcxNjYGUEBoTUMsKWtljF3PGNO6f24AEHq9fhTCkJWE6VkN2lpcEa3oCbW5eG8vyWAGB0E7faGTtRLY5hJUD1JNSUVahbgX6HSwFRWh4VgVLiyeQ1xsrFIPTTwSEqgsfnxcvBmbH1Bv1DG89FIntm6VmJAB1Kvo97+n6+m++/w/LzeXKk0HBhRnleHPGDYmhgJ9ra0+5FYqlUcHaDaHd8ByQa8nYpaXt2DWLAUhA2jaKSggQ9mwBkstFirQyM+XpLXZUshJyACKdqvVS66/3Fy69iwWWY7JF3784x8DAEpLS8EYw+HDhwEAd911Fy6//HKYTCacdtppcDqd6HR78tx4443LCNnQ0BC+8pWvgDEGnU6Hm2++GQBw9913w9HSAr5vH+6+804kJCSE5bgiDbFn7xsATgXQA6AbwC4AX5drUEqGxQJkZ3F0v9WCsQ8aIpJ6CZWQARSoiIuj9d3m1FFec3aW0kkKQ/VgNdLN6Ug2+u49uBQ2mw37amuRf+65SNO5sF7fgulp6XpBRgxpabSK6fUhXXfj40MAalBaugFtbQZ5LuFPfhI44wzglltI9O8PRUXAjh2UrlAIVnPqLy2lRdFn5lUo1xSc2KOsk4FP6HS06ANwTk3hyCuvhEzIBKSm0lwU9kLC2FhigwCl0SXKocpNyASYTD42BSkpRDQBkg6I8cAJESNuc96LL74YW7Zswac//Wlcd911GB0dXfjbxo0bkZOTgx/84Ae444478O9//xsGgwG7d+8GYwypqal48MEHUVRUhNdff32hkfnVV18NdWEh2WYIuosTAGId/Qc555dwzlM552mc80uX9MI8oVBYxGDMsqDu6DzsbeGtuJKCkAEeGQxjFNBwxSVQCFyM+2qYUT1QjYpUcVEyb1G/xd0rJzFdhy1byPor6pGXR+eJsaBCf4KG7KyztmP9ej1GRwMzlhUNxoDbb6eF4ec/X/m5QvqivT3iFYxiWifpqNkHpqZWuVWGhkiwvBY0ZqAIWfULLyBrYgIFOp2E70uR+4gFS7u7SRYQ4rUXLkIGUNByxQLF9nbyHJH5fkpMTMTdd9+NZ555BocPH8aTTz4JAEhKSoJer8dzzz2H+vp6vPDCC8h1E/vPf/7z2LVrF/bv349PfOITaG1tBecczc3NOOuss5Z/iFpNvzs6ZD0WpUCso38pY+x1xthx9783McZ+KO/QlAuVCli/OxmOWAtGj3aFbTcsFSETYDDQpn562m2VkJNDu63+fsXsSpwuJ2qGakSRMp9VlgUFQG4u4uMBuFyYnV0bwQtYrcC+fe78szgsFfVnZtLGWmjoLjkqK4ErrwT+939XT7lyThdic3PE9FiB9LJMSaGfFbXiSUke8b/CNjqBQkhZxu/YgYyKCjqmRf2ngofdTm/X2yvJ2wWOjRvpPDU3008QoeNwEjKA0uh2+wp1Pxs20PXX3Ez3nozz+dVXXw0A2LZtGzjnaGpqAgB897vfxYEDBwAA559/Pq666ioAwKc//WlMT0+Dc47nnntOfMRV1jYQygETU7bKGHsLwM0A7uWcb3E/dpxzvlHm8QWN7du384MHD8r6GfMzduiOHSQmv22bh9HLAKkJmTe6ujwl6gt3uUIqMhuGG1B+dzkevPBBXL75cr/PW9X2wt1P8pCjEvPqGGzbRhGPqIXLRaLeyUkSLq+yEIipsnQ4ZDjtg4NUTfWRjwD//OfKz3W5KGIxOkq7BcGjLQwIprk45yLSbpxTVdzQEEU43dGCaMIyDRnntND391P4ubg45Pzj8eN0i37oQ2GTRC0G5+T8391NbFtII4hAuAkZQBvL0VH6+v3es5yTVUZnp+yV9jMzMzCbzSgsLMSWLVvw1FNPLfxNq9Xiqquuwq233hqyfpUxdohzvj3U8SoZYi9/I+d8/5LHlGXWFQHoTFpg3TqMz2hhm5RP9C8nIQNoAyLokp1M48nfd3ZG3K5AjMhflA+Z23epbL4adqs9Wiyy/EOlIuMxo5FWtBUqZ8UQssZGmQq3UlNJV/b888Crr678XJWKFo6EBBJsLZQHy4tgCBngWbOnplbw7xR0AmlpFI5WaIWzP/gU9Qu9GHNy6HgkuJGysijyE6ZTvhyMEbksLqbdmoIJGUCSuLy8VTgWY7QRWLeOKmhlDBqYTCY8+uijaG1txVNPPYXKykr85z//wcDAAF577TX8/ve/l76gaI1C7Aw0zBgrAsABgDH2aQBroOY7dDhjE1Cj3Yw6mQTTchMyb7S0eFWJj43RIhLhXoXVA9VQMRXWJa/z+XfRxrB6PVBRAbNmFmW8HuOjLin6fUcWGg1FyTQasizwIcoR60OWmEjkQhZ3iuuvJ0H/TTet7rMmkM24uLCUywZLyLzR2UmBIy/HiMUQSMzmzVFVlblqlWVREaWoVSo6ryGcL4uF9hcRl99lZ1PDY4BO6ArCrUgRMgHz8yKt1tLSKJ3JGL1ApgKASy65ZEGkX1VVheLi4hO+uXgwEDsLXQPgXlAPzB4AN4IqMk94qNVASSnD5JgT7f9ulVStGk5CBlCAYnrazcOSkmiC6u4OSLckNaoHq1GSWIIYbcyyvwXs1B8bC6xbhzTNCLLmWtHVRYVXUQ29nhZGi2VZl+dAjGGTkymz1tsrQ9cWwSKjtha4997Vn69WE4ERquNkcl+XgpABtIarVETM/G7MGKMbDKANT5gd2AOFaNsL4Xs7fjxkc+PMTPqtmIYpdXXA4cM+TZAjTcgAqiEJ+DJqa6MCAJk1jn6NYU9iVYidiXoAPADglwAeA/AvAP4FPicYUlOB9CQ7OmunMXGgUZJwfrgJGUA8LCeHdquDg6CdcHw8rTYieuDJgWMDx3ymLoNunZSSAhQUoCjXjvw8jjVhfWM0UopCraZohdMZlFN/QQHxhoYGGbJsF14InHUW8KMfrWyRIUBIH42NUUGDD0f5UCAVIQMo21VSQkMUFekZGaFKsghHof0hKB+yrCwKtVZVUQgnCGRlUbcRhchZKe2s0dAxeVlmKIGQAST2D7hFZEkJ7cBaWkgiIEMBwElCFhrEzkZCQ3I7gF5Qy6U176wbCIo3GqAvzEJdtQPOttA8BiJByAQUFnr5l8269TBqdciGpcFgZn4GrWOt2JS6adHjIfeyzMuDasM65Bcwbx4T/eAcOHoUo++8g9qamoCd+gX5k1DZJSkYA/7f/yPz25/9TPzrTCaPo7y/tk0BQkpCJiAtjTY1ra0iFsriYmIgXV1UdqggBG0Mm5JCaWebjTQQQTSUFnj4ilWF4URMDLFEs3nBMkMphEwYXsBfs1pNN3leHhVqHD0q6c1+kpCFDrEzUrbbp+x3nPPbhB9ZRxZl0GiAdR9OQna5GarO9qAXkEgSMsCzMGu17hteryfx9Trfmi45UTNUAw6+KFImaXPx2Vnwg4dw5N0ZJXrmBg7GMKLTobOqCqdYLEEJa3U6YPv2VYs5g8OmTcDXvgbcdZd4k2KdjtKzOh0RsxBDeHIQMgGlpbTWifraS0o8YelGaaLroSJkp36Lhc6Vw0GpvyAwNwe8/76CulRptXRMycmwdXVh/759iiBkAJGy+fkgCKzQSmH9eoqUSeTce5KQSQOxs9J7jDGRPW5OXMTHA9m7C8EMevDGwHfAkSZkAgwGYNcuEn8DoNBZjFvTFUaTr+oBd+Wl26NMUkIGACoVmMOOtLF6DPXMy2OiGkYMDQ3h+MgIyj/+ceiFQo0gIMzRXV0ySE9+9jNKt37nO+JfI+jmhObYQTaSlpOQATTMvDz6/kRxrKIiEvKtBUImIC6O9IDl5UG9XK8n6WdvryK+FoJaDWtBAfZZrajcvBmW2FhF+DgKU3IQQUlCaqonX+xyiZMV+MFJQiYdVpyZGGPVjLFjAD4M4DBjrIExdszr8ZNYCo0GY5kbsG9mY0Brh1IImQBhYe7p8SpT7+4m4ev4eFjGUD1YDZPWhAJLgfSEDKDoy8aNyEmyInWiCW3NzlDmpYhikYasrIzSY52dITlyTk4Sr5P0dKemkq7shReAV14R/zqDgRb7zMygDObkJmTemJykpuWiFsvCQgqxMUZhjwgwEckImQCTaaFPJlpaAq72y8qi704p96LVasX+AwdQuXUrLAkJlMqUOO0XDOLiiPuG5DQhTPSdnXRMQexMTxIyabHa7HQ+SEv2cQDFAM5x/1t4/CR8wJASC7tKj7o6gM/4q5P3QGmETADnVIlXX+9eYDIyaHtWWxt0tCIQHBs4hg2pGzA3Oyc9IRNgNgPr16MscQjGwXbU1nCl9cZeFT5F/cXFlB4L4fsqL5fpdF93HY1PjEWGN2JiKO3CGFU5izxR4SRkAEV75udXqcb0BmP0PRw+TGm/MBIzyQnZ4jcnRl9dHVAFd3Iy8e6I22PAh6ifMU9Rw+HDIYSpQodeTwXKS4qug0NODm2YWlsDKgBgjOH2229fmHv+/Oc/SzCYExsrzlCc846VfsI1yGhDTAxJRsZre9H10vEVb1ylEjKA5p8NG6jqvaYGcDE16cucTvcD8oXwOeeoHqzG+qT18hEyAUlJUJcWYUPOBEyG6FL8+62yZIzSYwYDLfJBVM+q1XT+nU5Ia7ar0wG33UYE5I9/DPz1nNNCLyKVGW5CBtBiWVxMfES0NkqjoSjg4CB92WFIj8lKyAC6gCorSddRWyu6D6NKRfu/0dGgCzklgV9Rf0qKRzt3+LDklcGBYHpaIkWJUABQUEAFAFVVq95bg26ifeutty5EyL72ta9JMJgTG5FoaHFCID0dSClPQlufAZP7fe88lEzIBOj1nv6YTU2gtER5OeVoZHEaJQzMDGDYOgzzjFleQiYgJwfGD23G5u2a0NIBYYRo24uODr9+S6vBZALKyuilkqYxP/EJ4KMfBX7848DNLBmjQdntKy4ekSBkAjIyyF6ktTUAYpGbS2xuaIhSZDISM9kJmQDB4FjoLSmyX2Z2NrBzZ+Raoa1aZRkf79FjiQ6JSo/GxqClo76Rl0c7sbm5Fa8/IWV54403wuGOdv8skKrqk/CLk6RMRpRt0kNfkovhnrlld040EDIBiYl0r/b1uXdlKSmkhZGtkzVwsIv6lm4o3AC9OUw6BZUKcDrhPHocx/8zEbkGySIQkA+ZoMM6diyoiFlqKi2QkhacBWuRISAujhb7+XmfxCyShExAaSmta/39AbwoO5sI5+ioxKutB2EjZAJUKlros7JIxS8CWq1HyB5uiLa9ECwzNm4MoLpDWhgMkvqVE1JSqNJLOAFLdmPeGrJbbrkFANDZ2YlvfetbAID6NVHKHjmIakgejQhHQ3IxsNsBbUczhe43bgSSk6OKkAngnKIl8fE+/uh0StpXzWaz4efP/Ry/rv/1wmNmnRnp5nTPjyl90b8zYjOQbk5HijEFWnUIIgunE/zwEVTXMIylr8OWU42Ii5PgoCREMMawmJ0l/yjOgS1bgl7xRkfppZItmFdeCfz1rxSKDSYsMjFBZDM5ecG2RQmETMDMDEUbA8bICBFPSQRDHoSdkPnDyAiFEleYN+bmKDqfk+Nn3pEBIfmQNTbSXFhWFrau6i0tpL3bvVumDxDS6e7G84NDQ8tE/YwxXH755XjwwQfBGMOFF16If/zjH7IM50RoSH6SlIUDLhdmDtbBlpSNxILYqCNkSzExQQuNRgMKn7W1Adu2Ua4zRAhVlus3rsexyWPomexB/3Q//cz0e/5/uh/js+PLXs/AkGxMXkzg/PxYDBYwXx49c3Ow7z+CQ/Um8NIybPuQLmJplKUIipAJmJmhqJJWC+zYEbA/kcNB5voGA/E6Sdade+4BrrmGKkpSU4N7j6kpYokajaIImTdmZ4PsCe1y0cqblxdyLk8xhGxuji4kk4minX6Ip9MJvPceXRZlZfIPK2Rj2M5Oim7Gx9MGXGJC7Qvd3ZQVPu00mT6Oc7r+ursx6nKhBsDO005bVGWZmZmJvr4+cM6xbt061NfXg3OOhx9+GF/84hchJcc4EUiZUhparG2oVGiN2YDRbhdYz2FkZUUvIZufJ311YiLNO4iPp9nz+PGQV+qlthcfS/7Yis+fdcxiYHpggaT1TfctIm390/1oHGlE/3Q/5pzLdUc6tQ5pprSFKNvi6Fs84ixTGK4ZAAyn4JSdZqk8FoNGSIQMoEWwooLOVxAHo9GQnLC6mhaC0tLAh7AMQhhyYiJ4UuZOiTXW1WGuthZb9+5VFCGbnwcOHKBgQ2FhgC+emaH859gYicuD3PgohpABdAwbNlCx0OHDRMx8hF7VarokBgdJaidhMH4ZJHHqz82l4xB6ZlZUeKxBZIJwOczNyUTKGAOKizE8O4ueN97ArspK6Oz2Rdfh73//e1x22WUAgNtuuw179+4F53zhOnM4HNAopneW8nEyUhYm2GwuPPxwPdKdVuz9qAWqkugkZYBnd1ZURKkFjIzQSp2WFrTzvyw+ZG5wzjExN7GMsHn/CIRuaGYIHMvviThdHNJjl6dPBUKXZkpDkjEJiTGJMGlNviNwISBkQuYLIlJIvtDaSkGBdevolIeEf/4TuOACYi3bg98ANzY2YrqvD5sBqIxGTxcAhaC+noKB27cHkc6cmKD7S6Oh4wowd6woQuaNyUk6LsaIwPjQm01MUNZdkmvNDyRvnTQ5SZtUxkibJeMGwW4n3h4bKx9pXdCQrV8PfXMzhS29vieXywW1Wo1XXnkFZ599NlQqFR5//HF89rOfBWMM9957L77+9a9LMpYTIVJ2kpSFAYKGTKVKwXS9FtmsB8V7iqlZXpSipoZ69FZW0rqOjg5KYxYXk1g5AMhJyAKFw+XA0MyQh7BN9aJ3ahCD1uXp08k539WMGpUGiTGJsBgsSIxJpP+PsSDR4P4tPOb+u/CYxWDxqYeThZDZbORwmpBAC2IAC4e7xSampigLGtKQ9u+nhesb36D2S0GsLItSlpOTpDGLiSGz2TCkkMTAbqdDNRppWAFz9qkpOi7G6KYTyewUS8gEWK10XJmZFGnyASFlXlkpx8fL1MtydpbuMQW0YwoFy4xhXS7PXDE+TpkSxsAYw8aNG1FdXQ3GGHJyctDZ2QnGGMxmM6Yk6gRzkpRFMZRCypaK+psbXeh+owmVuWOwnLVFEh1WJCBY9DgctDBrNZwEofHxAZEyJREyv+AcvKUVHQMGJFdmwWymh612KwamBxaibKO2UYzZxuj3LP32/v8x2xgm5lb2NDLrzIsIm0llArdxlOWWIcWc4pfQxepiA4/O9fVROX9KCnkUBfD6+Xki5ZmZgX3kMnAOfOtbwO23AxddBDz8cEApH58asrExisAIETOFELP+foqYlZYG+b3NzNA9tn69KFKmeEImwOFwC1ThroxafL56e+l6y8+X9mPD1ly8t5cIWmGhZH0mvTE8TF+Z1MUQKzr1z8xQdDsxEVi/Hud/8pN44YUX0NzcjOuvvx4vvvgiOOe49tprcffdd0umKztJyqIYSiBlvqosXS6gp9mGrL6DUMWZg9w2KwMzM5QBy8kJ7hCigpABAOewH6vDwXdnwQoLsO1jlqDXeYfLgYnZCZ+Ebeljg1ODGJgYwKxqFqO2Ucw7/RteqZl6UcTNm7xlxWXhmh3XIFbvw46gq4uEvBkZQaup5+Yk2FvccQc5/O/cCbz4oqhOBCuK+sfGiHBu2iS7ricQHD1KTSSClpRy7rnZZmf9himjhpB5w2ajnV5urlsXIR/CRsgA0np0d3sqhCXOM+7bR9LMIJUjPiGqdVJvL5XHxsSgQadD+ZYtkny22WxGYmIiEhMTYbFYYLFYkJiYiPT0dPziF784zDnfJskHKRQnSZlMWNX2YmAAjpoGqLdtBotXmOdCEPDe7GJkhBb7igq/E1DUEDIBLhcm/1ONqiogYWshKk6NlZVLL01Zcs5hc9iWReJ8kblFUTrbGMZmx3B+6fl49pJnoWI+0pRtbZR+rqwMON0yM0PraFGRBFGzZ54BLrkE+PCHqS/mCuJgUVWW3qkWiW1bgoX3kEJCTw+J+zZuXHbOopKQAfTl1NWReW5OzqLIktAvWwrFR1gJmYDubtr8mM10ziTMkFRVeZxupEBAvSwnJkjL4nRSBNd9ghwOByYmJjA6Oor+/n5MT09jdHQUY2NjGB0dXfb/3j+OlVuv1XHO10tzpMrESVImA8T4kNntwKH35pCRr0deXpgHKDGmpykCUFZGm0GMjpJOJDWVbtQliDpCJsBuR9+r1Who1SL3oyUoXC+P9b/UGrK799+Na1+6Fj84/Qf4xVm/8P2ksbGg9C9Cx6PxcVoURHqD+sdDDwFf/jJwww2U0vSBgG0v2tromqysXJHohRNTU0Q0gk45CWXQNhtVMroXw6glZAI4p8hSTw8p+92eXwMDxNe2bAktTRcRQiZgZITSzxoNRYQl2iTU1RE3OuWU0N8rqObic3NU2JCWFrCeOFCcCOlL5dSNrxGINYbVaoG4FD3a24GJluHINnkLEUYjZVEWGpcnJtIud3CQyvS8ELWEDAC0WmSctQ4ZKQ50N8/K0rhcDlH/1TuuxpVbrsQv3/klnqh5wveThAVqaiogC3rGKG2i1dKGOZD+4j5x+eXAjTdSOvOBB5b9OSgfsrg4CukdPSrBAEMH57SQ1tdTgCEo6HQkfTCZaEEcHIx+QgbQBVVSQvPHwMBCv8zkZOIwAXVHWIKIEjKAiPOWLZSelTBqq9cTLwo1vhIMIevr68NFl1wCbNkCV2YmXnrpJao+DfrCPomTpExCBOrUX1oKGNR21L7aDftRKTs+hxdCFxXAE8lGbi5FylpbaYeIKCdkAmJiUPLpSmw5M0HyHpmyVFmCHLfvOu8unJpzKr7y7FdQ1V/l/8ldXcQW3M2GxUCr9bTLk6TDyq23Ul/Mb3wD+OCDhYeDNoZNSqIBCiFdu12CQQYPxujet9no6w4aWi1F/+Li4Dx+HAfffTe6CZk3cnNJ/uCOvKjVVI8yOBhcS9CIEzIBZjMZ1gEUXg7pAiDo9bR0hHJZBxUhAzAwMIB//OMfcAFoamrCeeedB1dVFWkarNbgB3QCY82SsnDzm2BaJ2k0wPpKLebTc1Ffbac0S5TCYFjSuByg1ENsLDA6ujYImRsqjYrSdAMDGPlPPRz20C82uQiZAL1Gj6c++xQsBgsuePQCdE92+35iWRnZZNTVUVmXSMTFUXBDq5Wgj7ZGAzz+OC3In/wk0NoaulN/UhJpeWZmKLUe4Q1QQgLtWTo7Q+xdqNHAuWEDDtvtSM3NXRuETEBSEu34HA7g6FGkmmbgdAbev14xhGwpBgdJZ1ZfH9JNI/SmDbb4KFhCBgCbN28GALz44osocxcKvTowQJmfw4cDmkNOgrBmSdnMTPiIeii9LGNjgaIdiXAmpcLZ1hnVF3FSEpWtu1zuNU+tBjZvhi07e80QMm/MTjtw/IANdS93hLTGy03IBKSb0/H8pc9jfHYcex7egzHb2PInqdUeI8/a2oBWwJwcCdv+JSUBzz8P2O2YP+ssWNvbQ2+dJBCzYMuFJUZREQ2jpSX493A6nThw+DCSS0uJkI2MhPaGSsT8PGC1wtJ+BFrbJMZ8XLb+oFhCBlC4ND+fcrJHjwYtYdFqSUISzCUdCiHzxu1e+s/b77+f2u7FxFBqva0t4pugaMKaJWUAbfblvhakaC6enQ1Unp8DdUIs7ZoinF4JBXl5iy2vbPPzRMiKi5EYbO5BoTAUZaF4ZyJGWsbR8R8/kadVEC5CJmBz+mb845J/oHGkERc8dgFsdtvyJ6nVHiuJIEQ809MUjApZvrVuHTrvuQfq/n5U/uAHUEmxy0pM9LRzGh2NqJZTr6c1WfC9CxQ+NWRCSqy+fu0shEYjsHUrmEGPbeoqlMSKuyYVTcgE5OdTan1qiiJLc8vbwa0Gp5NOeaD+rFIRsry8PLz++usAgKysLLzyyiueBrnp6XSPKWATFC1Ys6TMYKCLtL1dvs+QgpAJYGoV5ks2oI6Xw8GUYXYZDBbImA3Yv38W7767nyJkOh0t8Au5zbWBrFPzkF4ah/aDwxipCYzAhJuQCTir4Cz87aK/4T+d/8GlT18Kh8sHexJa+gRhfuR0emzCQkFjYyMGi4rAHn8c7MgR4FOfko5EORwUCayqiigxy8lBUNXXfkX9RUWe6EtNzdrZBOn1wJYtMKTFE+Hs61vx6VFByASkpBCBSUoKqjWY0DN8fFz8a6QiZABw4403+vx/qFTULFdokjszQzu2k1gRa5aUaTTkh9nRQeXCUkNKQiZgjhkw6EomsbQcpX1hxPS0De+/XwedbjMsFnd0Ii+PJtPu4KJKSkXpuQWITTehrsYlen2PFCET8LmNn8Pte27HP+r/ga33bsWv3/k1WsdaFz9JqyWWPT9P5EXkhBofDxQUkN1UT09w41ukIbvwQuDee4FXXwW+8AVpIskaDaVp5+aouWIQEQopMTQkPii5apVlfj5VMA4PU8hyrRAz9zlrQwGax/wblkUVIRMQG0vnjDGa+wMoANBoiP+InXukJGQA8NWvfhUAzWlXXHEFAGDEXdwFwLNTb26maODAQMifuZaxZkkZQG0YzWbp+Y0chAxw68uKgOFOK7qfrwqt/juCsNlsqKnZh3POyQfn8WgV1vr8fNoVtrQErtZVMFRqhg0XFqN4dyZtdFdJG0WakAm4ftf1eODCB2DSmfDf//5vFN1ZhB337cCt/7kVHeMdnie6XBT6PHpUtFAzJ4cyhS0tgW+OfYr6r7gC+P3vgSefBD7zGWlIVHw8pWkF0hlBYtbXR2vWaguraNuLrCyKcprNsjbEDjtUKsxn5KFvRAeXk1MqxCtPHpWEbCn6+ujGqa0VTai1WnF7FakJGQDExZH5+b333rvwnd93333Ln7huHVUE1dVRxmStpNclxpo3j/XuSiIF5CJk3jhezTGyvwVbMgcQd3pl8KKTCGBplWVjI3Xj2LCB+BicTopM6HS0IK41TE3BVtWAmG3rfbb3UQohW4qO8Q48UfMEnqh9Agd7yXT5lOxT8Nn1n8VnNnwG2ZpEIi6MkT9WTMyq72m3AwcPUqWh2CzoqlWWd90FXHcd8PGPA089JWocq0JoYh5sLlECWK3USjA93X+3q5B8yKxWImcKuuaCxdgY7Q825k4iuesIebVVVMDqdEY/IRPQ2Ul2QrGxojoAHDpExGylKVUOQiaAMYakpCQMDw+DMYa0tDT0+woqCLnW7m7aFG3cGFDZ6EnzWBnBGFMzxo4wxp53/zuRMfYvxliT+7fF67nfZ4w1M8YaGGPnBvY59HtggFIEoSAchAwAytcx6Evz0DpgksiRMzzwZXtRXEybo4U0liAi37gxcgOVEdZ5DQ4c06Pz1fplYQ+lEjIAyEvIw82n3YwDXzuA5uua8auzfoVZxyy+9eq3kPP/cnD64+fif53voc82SCuiiKiSVkv8rbxc3BhE2V5cey3wpz8BL78MnH8+6VRCRVwcsH17xAgZQPw9O5uCJL4E2yERMs5pHjlyZE14RyUk0LU1OBtHKWibDbPvvYeDb721NggZQD5tGzfS+RLh+aXTrRxllZOQAcCFF164kLLcu3cvBvylKBmjRWH9etokKKD1mdIQybj2DQDqvP79PQCvc85LALzu/jcYY+sBXAJgA4A9AO5hjAV0JjmnaE1DQ/CpzHARMsAtndiqxcZPFNCAQ1VMhwH+fMhUKppbFu3gdDqP/1Br69rRvAAwJsUgeWchWjs1GH23dsHZWsmEbCmKEovw/dO/jyNXHUHDtQ34+Zk/x/jsOK7/983IeucinHnwWvzh8J8wOLO6wWxMDM3DdvvKGeuAfMi+9jVqx/Tmm8CePRTpChXCOREWQZuPqlSZkZdHt8bSzE7ITv1C2wXOiZgFWqanMDBGUfeREcCVkAhrWRlqa2uxGcAaoGMeJCd7epetQqTKy/33vpSbkAEegX92dvZCJeZf//pXHD58GLO+Ft3UVCokUqlocohSqY4ciEj6kjGWDeAhAL8E8C3O+fmMsQYAZ3DO+xhjGQDe5JyXMca+DwCc81+7X/sKgJ9wzt9f6TOW9r6cnaX0gNlMu/dAUprhJGTLPruzG5MjdiRszldsWbFYY1iHgyIBOTnuB4aGaAefkeE/ZxOFcDqBw29MYK6uFdt2qjGdn4Za96SodEK2EmqHavH48cfxeM3jaBhpgIqpcFb+mfjshs/h4nUXI8noX3wtNAnYunV5Nj5oY9gnngAuu4w8kV5+mUIooUJw/RfStD5S0HJiaIj2KGlp9G9JWycJukC7nSJMUnxfEcLEBGU/0tKsOHJkPyrLy2Hp7SWxfMgNWBUKp5PIS2am6LUgHIQMADjn2LVrFw4cOCD6NXq9HhUVFagoKMDG5GRUbNuGio9/HGkZGWB+ju9ESF9GipT9H4BfA4gF8B03KRvnnCd4PWeMc25hjN0F4APO+cPux+8H8BLn/P9W+gxfDcn7+2lxKCgQn6mIJCEDKJDU1UWLmRLnmkCc+nt7gcZGKmZYIGatraSfKC6WvZltOGGzAYdeHcFcfztY4QROPf3UqCZk3uCco3qwGo+/dQ8e73gBLdZuaFQanFVwFjambERufC5y4nOQE5eDnPgcpJpS4bCrcPAgRYG3bfNkLUJ26n/2WRL+V1QA//mPNJopoU8mQLt5kyn09wwCsvSynJsj/ZxeH/WazhVF/WNjnn6uawU9PRRGTUmh0JhX6m9qikhqfj7dY0D4CNlqsNvtaGpqQnV19aKftgA72JSVlaGhoeEo53yzPCNVBsJOyhhj5wM4j3N+NWPsDKxOyu4G8P4SUvYi5/wpH+/9dQBfB4C0tLRtjz322LLPb283Ynxci/Xrp6DTrZ42s1qtUKvVEbuoHQ6GxsZYqGZnsdlQg7niPPAgvGzkAOccMzMziImJgVqkNqCtzYiJCS2KimYQG+sAOIepvR2aiQnMFBTAER8v86jDh9FRYHjYheJiBhX42qqCA6CZmICxtRW1uhG8aGjGe6MfoG+2D/OuxeIWLdMiRZ+CRE0q9HOZyDCmoDjVAovKgiRNEnLjc2HWmP3ujldD2ssvY91vf4sjt9+OicpKKQ4NqtlZmJubAc4xXVICV5gJ9eCgHjMzVmRlOaGT+H5nDgfAGLhaDckrocIEl8uFmRkrADNMpsW3lmZqCuaWFsxbLLDm5Kyp+04/OAhDby9cMTGYKSiAy31tjI5q0dlpQnn5JAwGFxwOB2ZnZ2EymYK+r8INzcQETJ2dGJmcRDXnaOnvR2trK9ra2tDW1oY50rEe55xXRHqsciISpOzXAL4IwAHAACAOwNMAdkDG9KUAh4NM9pKTVx5npCNk3picBI68Z0Nify02blKBba6M+EQTbC9Lp5MkO/PzFDExGOCpyOScBNdRMomshEUaMo0GrsNVUKWnkoB3LWFoiEr34+KATZvAVSoMW4fRNdmFromuRb87JzrRNtqF/pkeuOBc9DYmrWkhupYbn7sQZcuJy0FpUinyElYIbbe3U/j7vvuAK6+U7thsNmoRU1YWVkGy0+nEk09Wg7E0fPKTGavJiYKHy0URwcTEiBY5BAohQpabuxmdnQnYtIkOYRE6OujcBVHhp3iMjtI9xxgdW3w8RkcpALplCzA3p4wIWVCw2cgbpqzMp5HuyfSl3B++OFJ2K4ARzvlvGGPfA5DIOf8uY2wDgEcA7ASQCSoCKOGcO/29L+CflHnDZvNdUa8kQiagpwdo2j+GIns9cjYneVySI4BQm4sLWmr3Ok6Ym6NJRiFRwFCwVNRvneE49lw7ymN7kLCtiDR0awkCMUtMpDTiCuAc+NfrzZhVNyG5KB49Uz3onOgk8uZF4PqnFwt/a6+uxboUP74aTiddTOecAzz9tDyk3umktKbbk0kuCCnLhIR0DA7mIzVVfPVqwOCciogEnZJgXqpgeKcs4+MtePddup1KSnw8eXCQ9Cp6PV2XYdYHygqbjc5deTlgMGBykubU9PQhDA7WhZ2QDQ8P45FHHsH1118v3ZtyTsQ6O3thXTgRSJkm0gPwwm8APMEYuwJAJ4DPAADnvIYx9gSAWlB07ZrVCBkAUvY7HJ4E+xJMTlJwpqyMvIEEKJGQAeQFOVdpQeJMGtDbSYuD98DDhFAJGUBz48aNSwixMIFwTiK6rKyoLJf2VWWpNzCoCvJQ0+DEtuomGDQat2nbGkFKClX3iVgEmpoakZgwia1bzwVjFO31xQPmHHPomerBy80v45oXr0HvVK9/UqZWAz/8IfDf/w38+c9UnSk1mptJtLNxo4+wjDRYrCHLh1ZLt0J2tkxWhYzRoq7Tka7TbqfzqNB0ny8NWWIiVWH6JGWpqRSKP36cCjjWEimLiaFCFADgHJrBPoyNGjA+3oyPfzz8EbKHH34YN910E66//nq89dZbuPzyy9Eeao/D6WnyMxsYIAuNNSRtWQkRvfs4529yzs93//8I5/yjnPMS9+9Rr+f9knNexDkv45y/JOrN7fYV+yzGxtI5bmryWMAolZAJKCwETBsLAIsFzoHhsH++FIRMQEICreGcL3E0mJqi3VE4uslLDH+2F2o1sHGTCjy/ADVDKXDV1AXWqC4akJrqmTSHh33anHiL+gEVqqroVPuCXqNHoaUQu7J2AQCm51dpC/Bf/wWcfTZw/fVAdXXwx+EPhYW0qB8/TscnMXyJ+vPyaE+50BFDLhQWUqHN0JBi7Xf8ifqTkmj/7deuLi4O2LnT04Q+ytvX+cTEBKaP7MfQ+++jct3GiKQsS7xY8dGjR9HR0bHCs0UiNpYq3FQqMq5eY+35/EGZWyIpoNcTw/bjfyJY96hUlHlxOJRNyBbAGBq1G1Dt2hBWziIlIfNGZydFLBf6k8bF0QIxPEzOz1GC1XzIjEagfIMaU2klaJzKWBPO6j4xM0PE5fjxRcRsaZWlSkXfSWcnFcr5g1lHIaIZ+yomsSoV8Le/Edv/3OekMZX1huCEazaTjcvg6h5tYuGvylKjoUh+WORe2dkUjVCgtmylKssktwuLd6vFZRCyJdPTwP79tBOIsg3fShicn0eLXoXLzzWgYKRaGt++AFHmZWlUJqW9kdlM4uOkJIpWnwBYu6RMp6MJ2jsUtgR6PU16k5MuPPtstfIJmRvxSRqMTzC01c/RhSrzBCMXIQMoS2kw0Dq3YBKflUU/3d3ko6FwiDWGTU4G8os1mMstgUtnoPMmtotwtMBkoptqdJROqsvl1/aiuJiIWV2d/759Jh3ZUczMiyBZaWnAww+Tjui666Q4msXQaMgiIz6eNgzO1VUUq2E124uUlDBmbVJTPSm+tjZFuP+v1stSpyOuLMpNx2Sia6Sjgy66NWBaLdhebD33XOg/dAqF5auqwt70Oz8/HwAwOzsrLSkD6L7buJG8lE4ArF1SBnhCYSsw7MREF8bGqpGUlBAVhAygeSUzE+ism8FITb+s+Q05CRngud+czoU1nFBcTLujlhZxnXYjhECd+vPyqLhBpQJdl4cPR7QRtizIyKBClJERtL/4IiYnJnz6kKnVFJxxOIhH+YJJS6Rs1fSlgI9+lPRlDzxABE1qqNUkGt+8OWTNo1gfMqeT/P3Cts7OzZHL85EjEYm6CBDbXDwhQaQMjjHaMBQVUaSzqiqqN0VLfcjaBk3oTd9K/mxhjsRr3NHIlpYW5LorzK1Sk/oFc8u1jbVNyvR6WvH9lC8JGrLNm8044wzlhe1XQnExYM5NRJ01D7MtPZKmUwTITcgEmEx0iiYnvTKWjNGKvWWLYsvZg2mdxBj9zM8DNWOZmJtxUC27golnUMjMRKtajbmeHmzNz/drDGs2k6TJavW9Pi5EylZLX3rjRz8CTj8d+MY3iM1IDbXaU6XS3Ew52AARiDGsSkVSy7B1JNPr6b7TaIi4rJgblAdiCRlA30l7ewDDzMkBNmygdGaUtvfxZQw7MgKMTGpp0yCEV/v7wzq3NDQ0LNzrjXLceycA1jYpA+ji1OkoVeTF3H2J+sfGokdfrlLRvKLJy4JNn0ACXQl1NOEiZAJSUmhxFtrLAKDFTyg7GxhQ1K421F6WdjswOmdCrbYSrhkbidMlSIcpBY2NjRiNiUHJ5z8P1SqVptnZZE/nyw1Fp9ZBq9KKS18K0GiARx6haMFnPyufuJtzOpGtrf4rFnwgUKd+xii4MzcXRq1zTAwRM5OJ9IFhJC+BEDKA5sK+vgCHmJJCF50QfYmie8+fU79GQ1HnBczN0abk0CEioGFAvVfIu0GhRSNKx9onZQKamigcPzfnt8pydpbW/q6uCI4zAMTEALs+pILlQ+6WGxIJ48NNyATk5npsoBZNLvPzNLkohLhI0VxckF5NuGLRHLORQiF1dRKPNDJYpCETTujEBJ1DPzsetZoiHh0dy0+xWWcWn74UkJ1NTcuPHgXczZIlh2ApkZFBAxchRA62dVJCAmXzBeeKsEAQbCUmhi1aHSghE5CURDLGgCKJRiOdw9lZKgCIAv3qSq2TlpEyIeIpNKKXIZuyFN5E7CQpCw4nDinLzgZcLrhqanDwwAGfov6MDNK6trVFVEoREBgDoNOhK2kzBpLWh/x+kSJk3ujqoubxC4ExnY5SmdPTEQ9lSkHIBKSm0ka915aIfsu6NdH7028vy8lJWvQaGvyev8lJuveW7i0sMRaMza5QoukPe/cC3/0ucO+9wP33B/56MRB0StnZFMZawYYn1F6WhYVEWKVwGxANQUMnlDmOj8t2/wVLyAAantPpVcUdCLRa2iU1NtLFp9BUyWq9LLVaH4Q9NpaqF81mshkIsN9koDhJykLHiUPKjEa4iorQsG8f0mZn/Yr6S0tpg0E2GWEeY5DgHBixGdHQosH0pIv8hoKAEggZQDpVu32J8D8pyWOVEaHSaCkJmYDCQjrerrlU8PgEejColSXyWLG5eE4OtULq7ydVv4+FLyHBTVJ7F+uDko3JGLYG6Q32q1+Rf9nVV1M0RC4UF1MVhx8yIUVzcZOJ5qesrFAGGgKERu01NZJHrEMhZIBH7D86uupTl0MgnllZtCM8flxxk7+Y5uJarZ+CB52OqoYzM2UvADhy5MjC/58kZcHhhCFlLpcLB7u7YSoqQh7nfs2RNBoKyszNRUU0G4BHE6/RADVvDMJxrDbgUi2lEDKANnXl5cRNFkVNsrJo1e7pCXsoUw5CBiyuZ2AMdNBHjkSVRxuwCiETkJdHxGxgwC8xKyig89/Q4ImUhkTK1Grg0Ufp2rn4YnlLGAsKPE11R0cXiIsUhExARobv1nBhgcnk2RgdPSpZHjVUQgbQabZYQghyMUZtAUpL6dyF6kYvIcQQMoA2eKec4uePKhUdm9DibXiYJBMS4qqrrsL8/PxCA/RDhw7hiSeegFMBkpNowglByrw1ZLkf/ShFXfy0XwJI17R1a3T1jtbpSPg/G5eKutE08PoG0TedkgiZACG119NDIt4FFBaSzkXmHoTekIuQCdBq6XJ0uYDuqXjwTPeOPax5quAhipAJEIiZn9VTpSInG4fDExANiZQBdL8/8wwttp/5jPwFI3NzFG05dgzOuTnJCJkAm43ePiLm9FlZVNE+PU12LjZbSG8nBSETUFFBnDEkZGbS/CKcqwinMsUSsoDAORWnHDkiaQHHH//4RzgcDjzxxBMwuwu0Pve5z0Gj0YAxhtjYWPziF7/AaFDhzBMHa56ULRP1C6Hq2NgVXyf8eXY2bIUrISM+HigqUWHEUoxJewzN3KssQEokZAIKC2k9XdQbkTHKVQAUVZI51Sc3IfPG6CgRkTZ1MfU1bWtTfGuRgAiZgLw8Yl6MUbRlycInWKS4/SiRHBMiKQMofXP//cA77wDf/nZo77Ua9Hpg3To4x8ZQ+8gjSLNYJCNkgCdNFzHOnpxMxMXhCMkuQ0pC5o2QeVR8PK0TTicRl0W7wvAhUEI2NkZT/qoBTMY8G9v6etJBSuS1olar8ZnPfAZTU1PgnINzjiNHjuCyyy7D9PQ0brnlFiQlJYExBsYYvvCFL+DYsWOSfPZawZomZSv2suScLsZVwtRCxxiFSQz8Ijsb2H6KBvGnrFvZlRPKJmQAzR0VFX76rgvnr7paNufxcBIygNa6zEygs4thKLGMyvabmxW7KwiKkAlgzLPo+Sje8DaXTzQkY8Y+A5s9tKgMPv95ImR33QU8+GBo77UKnImJOGy3I8loRMH4uKRhLb2eslD9/SEHqoJHXBywY4enOCXACVIuQlZVJaE1HecUwm5oCHsBQDARsvl5ykqKOhWCzkxIRxw9KpsJ3ubNm/Hwww8vkLTh4WH87Gc/g9lsxt///ndUVlYukLQdO3bgySefPKFTnmualK3Yy1JYFNrbV2y+V1pK2Yho0iyazfSfscwNmM32Hc9XOiFbisHBJfMGY5RGUanIfFXilFS4CZmA4mL3BraBwZq3jo5R8GpTEEIiZALUamIXg4NUWeNj0WtsBGyjpNMKOVoGAL/5DXDWWWQse/Bg6O/nA4KGLLm0FJl79lDoIsjiG3/Iy6NbIKIZbsFYzmoF9u2jxV0E5CJkAEkBVuqlGhA0mogUAASbshQaTIjmM4IB3vr1NOkEex8HiKSkJNxyyy0L0TS73Y4nnngC27Ztw8GDB/HZz352IeUZFxeHX/7ylydUynPNkrKZmZnVe1mWlFCupK7O76IeF0dptKEh0XOOIuBwADV9iahpMxKR8Yq2RBshEzA2tqTw0mCgSdNul9TDLFKEDPCYAqvVQF2DyiMcn5wMsrRMekhCyATk5NDCMDTkk5glJAB6J30Hh/oOhfZZAC20jz9O4deLLpKcLC0T9cfHU0RJMCmVKNqi0xFXGBhQQItKvZ4myqYm0iqtcIxyEjKAxP6zsxJGEJcWAMi8Ow9FQxYwKROQmurpKzk1FVKF26WXXoreAF+v0Wjwmc98BgcPHlyU8rz00ksxNTWFH/7whwspTwCRKnMJG9YsKdNoNKv3shSa7zmdfnfqAEXoExMpgq3QTNIyaDSky5maApr/M0CuzmNjUUvIUlOp8KK3d8mcERvr8TCToFw2koRMgNAdbN06rwdbW2mnPj4ekTEJkJSQCcjJoRDh0NCyPq6pqcC5JWchz7gOlz11Gd7ueDv0z0tOBp5+mj7v0kslI/N+qyyFxXVmhmw5JDqHubkUMfPVCSGsUKvpgs3MJHdbP82+5SZk+P/sfXd4W+XZ/v1qWvLe23E8E2c5gyTMQikrlL2hLZQWCoXS8X0thS5KW34dXwelzLaUVaDsAgXKCgSy48RZ3nvvLVnWen9/PDqWbGucI50jySH3dflKLEtHZ77v/T7P/dwP3I4kskXLBOTkUNPaoiKZN+xGqKL+oEmZJ3p7KTxdVxdUOvO5557Dv//9bwDA+vXrMRFklXxlZSX++c9/zkl53nXXjwEgetq6KIRjlpSJvqljY2klNDnps00RYzRB5uREsBw9CKSluYiMNQ295kTMHDiAvdu2LTpCJmDpUiLHjY3z9P2pqeQpEaL5ajQQMgEJCW5N1eQkKHxmMFBEMELOxooQMgF5efSQeWk6vG5FIh7c+CHS9QXY8s8t+KT9k9C/b9064MEHgfffB+65J+TNibK90GhoMDl0SJZ+klotFUP4KSQPHxijaFJREaWj5xWohIOQAfSIxMQoQMoAYnzCBFBbK2sBgBxVlhqNDDZkpaV0U/X1kd4zCC2k1tX9Yf/+/Th48GCIO0QYHBzEli2XAcAxLzY7ZkmZJGRlAZs2+dXuaLW0mBfawSwWLF0KJKepccRRhP0H6rBGrUaK0Kx2kUEgxzExXoINCQnulilBRMyiiZB5oqeHgpwjk1paqWu1NKnL2OdUDBQlZAIyM919ajs7Zx80jQY4eU0WHli/Fbnx+Tjvn+fJQ8y+9jX6+eUvgTffDHozon3IhLY3Qj9JmdrejIwsCDBGDgUFdJ96LJDCRcg8d0HI+isCh4MkE/X1pKcIMSUtl+2F0Ug+ZSGttxkjUrZqFeWAq6ok58e1Hi25dDKEcevq6mA2m7Fs2ZqQt7UYcJyUCRBunr4+Uvb7gNVK9+liMpZdunQa45YjWHbJuUjUav1WZEY7tFrqGrJkiY83dHVR+F2C/060EjKAeEpsLGXXLVxPFVNqdVgFjmEhZJ4YHSWtgEdLh6QkYMtpWfjohg+Rl5CH8/55Hj7t+DT073rgASJKX/5yUMxGsjGsVkvXMDGRLqoMEbOJCcoaRo20IiWFxJE2G6Z37kTVRx+FjZABlNHIzFTwCwRbJaG11uHDQRcAKOJDJgdSU2mgTU+XnB7yJGKhkjKBkK1duxacs8AfOAZwnJR5YmaGcmN+9GVaLS14m5pkN0RWBNPT09i/fzc+//llSC4qgiW/FDwrO9K7FRKEdM3kpJd5VOhbVF8vasKLZkIGuOU6gIuj6A1EIkpLw/L9YSdkAE3qZWV0/Y4cmRXJqNVAVlw2/nn2VuTGEzHb3rE9tO8yGICXXqL/X365JIV40E79Gg1Fk/y0ZZKCvDzaZLR5DZvHx1G7fz8qASSHOb1gsSgcTGaMUidlZbSIOHxY8ibkJmROJwXRZWtaYTDQ8TFG0Yj6elHk05OIaUNoZO9JyBhjSE8PelOLCsdJmSf0emouvKC/jxtCCk2rpUkymv3L5ov6Z2aAfT05aB13xbeVdjZXGMPDFCGYEzRSqdw2EkeP+tVfRTshE2Aw0D03Oenqdx0T4x4oDx/2G9kNBREhZAJycqhSZWRkTmWt2QxM9WbjrydvRU58Ds7957mhE7OiIuCZZ0hDc/vtoj4ScusklYq0BSoVDSLt7UGnwTQaqsQcHIyCSkwXzGYz9hw5gqWXX474zEwi12GM7h48qHjvbcL8DgAioUSEjDF6XBTxrhsfp+xDVVXAkKwcpGw+Ifss4Tgpm4+MDHdY2ofmQ6sl3fXMTPRmAr1VWer1dHgdHcBg7RCwa9eibX4NUKAhNZWilnM0ZkJ6Qa/3OTIvFkImIDWVuMMcrczMDF2/6mrZCXZECZmArCxioybT7EwTG0vX3TmRjZcvcBOzHZ07Qvuu888Hfvxj4PHHyfnfD+TsZQmA2FRrK0Xog4wo5eYSv+vsDH13QsUcDVlmJpGW1FRaUYSpQ0VSEj0aYfF7TUx0dxnp6KAfP1AqZckY3QOKBCXT0+k6Op3UXsuPPCTU9KUvQraYvEJDwXFS5g1FRfSg1df77FmRkEDWLjMz0Rct82d7MWtO2pcEk9MQwSZ6oUOIWhoMFBSbcxiCY/WKFQs+t9gImYCCAprbANfAGx9PaTCrVVZiFhWETEBm5twiHKcTS5bQr+NdOXj32q3IjsvGuc+ci52dO0P7rnvuAc46C7jtNpp4vEB2QgaQga5gCXLoUFADik5H+uxI1/B4FfWr1fQcLl1Kq8IwIDGRhu6wRw6npkhT4cMWRGkNmWKkDKCTun69uz2Tj8hnKKTMX4RMkYraKMRxUuYNKhV5X1VUUFjMB/LySN4TFSXpLgTyIZs1J9VrcIStgt3GQxKqRhoaDWUrOfeyCI+JoTc4HBROs9sXLSHzRG8vsHeva72QkEBRQYuFJvSAje/8I6oImQDhAevqAvbvB7PbZpuWm/pysPX6rciKy8I5z5wTGjFTq4FnnyXicNllC8x6FSFkAgRLkBAinwUFPlqShQl+qywZc5uqcU7yEIXS7oCbnIY9EVBRQYv6/n5Kh3scYzhE/YqSMsC92C0q8kmwgyVl/ggZ54reLlGFKBl1oxB6vTss4We5JUhCGhpCng9DhlhjWL2eiFlSVgxUq1bQ8XnpP7hYYDQSOfbpFTw1BXR3Y2TbNtQcObKoCRlAUaKZGY9LlpRExIyxkK5hVBIyTxiNdK9WVyNWa0VZGaXt4vXxOLv4bExaJ/GD938Q2nekpQEvvkgE8L77Zl9WlJAJyMyk6+h0Bn0dnU4KYIR7LJJke2EyUfn6/v2KlYwaDMQfIqLOKCig62g20zE6HGGrsoyNDYOZMGN0jFot3XCHD89ZwEx5XFOxpCyQhsxqXbTTk2RE4cgbZZicpLCEH5GqxUIpdj9Fm4pDqlN/YiLVNKhSk8FLSmliX8SCythYt/Z9gRQwMRFD6enoOHQImxMTERNNpedBID6esl0jIx4Vd8nJZIgqRCIk2npHPSEDqCpz9Wp64KqrER83jIcP/xpL71+KB/c+iAvLL8Qj5z8S+vds2gR84QvA668DCBMhE5CSQm2Z9Hq6jhJV2xZLWKVbAILwIYuLo1UUQNEkhdqHrVihqAG/fwiWEkVFGBgeDpvtxZo1lMYOG+x2WiEeOkR9pAGce+65s8RKTMslMaL+RaqwCQpROvpGEeLi3GpyH5V8cXHkUDA6Gpmy9FBaJ1kswN7uHAwbXU7qMrWciRTa2iiC5Kk/GBwcxNHBQSz74hehn5hwlTAubuTkUKqqrc3D+UMY0GprJfUCXRSETEBSEkzLi/G7hiew9IES3PXBXVidshnPf34v/n31v7EiY6GGMCicfz7Q2AhHXV34CJkA4Tq2tVG1m4S2TEYjabK7u8OjSAjaGDYujhYRQpcKCb6CYpGY6O5wFREYjRhgjAhZcTH0HR3HXrhHpyOC7RqM+MGDaG1owNlnnw0AqKioAGMMmzdvRm1t7YKPS6myTEhQ5AiiDlE+AkcBGKPS/JgYUpP7yAtkZ7snyXD2jQ61l6VORynY2lpgun+CKjIj3F8xFBQX08R09CgFGeZoyEpKKOw+OHhMCBTKyihqtiCYkpZG1/DIkYACk8VEyKZt0/jjzj+i6Im1+EHzw1ifWYldX9uFp875DzIdG+TzZwKIlAHofOSR8BIyT+Tk0AN66BAwNCT6YwUFRMiUNrgO2alf6HCQnk6hbpnhdFLEMFLD2ZyUpdVKTPngQUVzy/X1EVhzqtU0R5aVAWNjKDSb8d///hecc/T29uKyyy7D7t27ZwnaihUrUFVVJYmQJSYSh/8sgPFjjbm7sGHDBr5v3z75Njg1RfqAxERKoXi5iRwOd9HWhg3KZwPlai5usdCCXKeyYx32Q+2wUuh9MTX69IC7O8goNJpDOOmkeRoyqzUKujjLA8593Gd9fVQhlZpKeRwvhGsxEbLG4UZ87onPoXeqFwaNAb8/+/e4af1N0Kg04KNjOFCjh5kbZjN/ocLhcGCmpATq+Hjod+5UhDSIgs1GkaTJSZr0ssUZPx86REPW5s1eL33IUKx1Un8/LSqE7tohgHNg+3bSo5eVybBvEuBVQ9bXR+Jjnc7tpSgzqqvp38pK2TctDpOTdMPFxi4YnEZGRvA///M/eOKJJ2Zfy8/PxzPPPIPTTjtN1OYZY1Wc8w1y73Y0IbpH4mhCXBw92YIfjRcI7us+OJuskIuQARQErKgAzFYN6nSr3U2TI125ECQMBiAzcwi1te3IzNy8UNQvELLWVoqaLWII99nIyDy/46wstyu+F4OfxUTIAECn1mFZ2jLE6eIwbZ/GN9/6JuL/Xzw2/20zvvXaTdjT/ks0DuxGbX3oOTtBQ2a67Tbojx4FTjzRp5m04hDaMiUnk4RCZIS3oICeAyUCwooRMpOJQvbV1bLsOGOU8gq32N+nqD8ri9gS56SlU8DlVfHqy0CIjwdiY7F//34ioLW1szKKlJQU/OMf/0BtbS22bduG2267DZ2dnfjc5z4HxhiSk5Px9ttve91sbS1ptj8LOB4pCxY+QxTuP4+MuAs45YSchMwTnZ3EUVYvGYfm6EEa0VavVmaprSCElGVx8SZkZcV4tyxxOimVMDlJlVJh6sunFFpbSc9YXj4vmNLTQwsKD0HGYiNknnByJxqHG7GvZx+qeqtQ1VuF/T37MWWjii8di8GarDU4IXc91uesx4acDahIr4BGJc63ZoGo/913gauvpj8+9xxwzjlKHZp/cE6hr/j4yHy/C4o3Fx8aohlYo6HnMsRoUlsb/Zx6qizBt4AQVWVptVJEMD9f9u8/fJg2v3697JsWjddeew2XXHIJuHDyDQaK1sfGek1ZWiwW/OIXv8B9HtXOKpUKzz33HK644gowxrB3L21m1apjP1J2nJQFg4kJou2rVvlMa/T00EJh+XJ5m+MqRcgEOJ0uDjYwQKyyrGxRkTJvPmROJy3CF8xndjutWC0WikYsYiUp5xTcHB8n7YXXuWx4GA1DQ5iYnFyUhMwXnNyJxp4j2Lf7NewZrsFB1oX9g4cwaaXmtDGaGKzJXIP12UTU1mevR0V6BbTquR6EPqssW1qASy6hGe+++4A774xspXJPD0VAKyoCMg2bjX6MxtC/VnFCJmBqyu2duHz5vDYW0jAyQs9FZaXfJIcsCMr2wmSiFVV5uV9PTLEQvMA3RJC23Hnnnfjtb38Lzjm+d9tt+ONDD4F//DEaGcNkbKxfDZnNZsP//d//4e67757z+g9+8Dd8/es3oqxMdZyULVYoSspmZki0pFbTksRLKIZzisJPTdEkKYckRWlCJkDwXVu61CUrm2Vq0Q1fxrANDbQwXb/ey+RktRIxs9tp5I6UdkgGWK10W6pUXm7LyUl0vvYaxnU6VFx+OVThCBuEG1YrRT8TEzGeVYI+ayNF03pcEbXe/bNELV4Xj11f34WK9AoAImwvTCbg618Hnn+e2jH94hfhPLK56OkhNXd8PC0M/Uzmu3eTPGHNmtC+MmyETIDVSgwjLy+kLgA2G7BjhyQ5XlAI2odscJAigzLpzFpbiZQtXx7SZkLCF77wBXzwwQfgnKOkpATNzc1oeeUVWEdGUPalL4GJPD9OpxMPP/wwbp/bj7aWc16hyI5HCY6TsmAhOG+npNDD5MPwbt8+v9xNNMJFyAAP4b8OWLdiBurD1WR+I2fIT2b4c+oPyKGnp2kyLy6mSrBFDOG2LC6m+UxAQ0MDphsasMpohEroKbmIfel8wm5H/5AatXUMa1Y5kZzqXkw4uRNNI014v+V93PbWbXjioidwfeX14n3IOAeuuAJ4/32qpIskgR8aomi9Xk8SAx9FOR0dFOg74YTgdzfshEyAp0RkfJxIaBCLQ4dD2dRlyMawExPuyv5ly8LWikopJCcnY2xsDJxzMMZgMBjw6SefYG15OZhAOmdmRFfkTE4C+/Zx9PW9jWuvPf8A5/yYrsOM/vBHtCIxkRw8h4d9mpPpdJRhsFgoWhMswknIAA/hvxmobdKC6/RUyRelVhmBWicJHQwsFh8GvwYDsHGjm5At4oWK0J5uPiGbmJjAqi1boCotpdT0Iu7g4BcaDdIzGIxaG+pfq4Wjq3f2TyqmQllqGb629mtgYGgba5NmDMsY8J3vEEF47jlljyMQ0tIosiuk4H2YkmVnE48J1kw2YoQMcBOymRlaNAVpJxHVhAwg2cT69UQ6a2oWffHR2NgYCgoKZn9ftmwZ1q5b5yZkPT3Anj1eXL69Q6UCMjIYLrpoCwBEsowhLDhOykJBbi5V1JjNPie4pCQKnXtOklIQbkImIDmZoi1DIyp0JKwk4nLkSAQ6/PqH2F6WiYlk8DvHBd8Twgp8cNDvJLcYIIx91OWlaa6oPz+fbM4HBqKWZIcKlQooW6aCBTFo/biDKlg8oNfokROfg9bRVunGsCefTJHxhx6KPKlNSCCfryVLfIbhtVoaovr7pbfTjCgh84ReTxGkyUnyHJI4Bo2PE58Lop2oX8jaOknoKVlcHFJ1WGur2xYjkli3bh3q6uoAAKeddtpcDVlqKg1SNTWUhg9QLhobS4tqOXSRiwHHSVmoKCujsJKfVFB2tltDLmWhFylCJiAvjzKWPQMaOCpcvRUPH44aqwypzcVzckgn5zc7oFbT4H/4cIRry0PHO++0o7rahpUr54n6CwpICbzIK079ISlVjZyTl6LbloGJQ22zLWAELElcgkOdh6QbwzIGfPObRNz37JF1n4OC0UiLQ4DYhxdn/Lw84o9SOHjUEDIBGRkUGRTMICU6dI+O+mzIEhQU6WUpLJpUKhpjq6tpLJIAqzU61s35+fkwu3Zkw/yqA72ermV+PskAAtiDRHrtE24cJ2WhQpjspqdJF+CntU1nJ7XRFGPBE2lCJqC8nCLr6jgDiYqFnnwRhlRCJmDJEveKy+vKOSWF9Fbj43Q9o+BYg0FDQwPS0oZRVFSO+nrVwsMQwmljY5RbX6TH6Q9FJSrErSyEPTWTSJmrf63D4UCCIwF9M33BOfV/6Ut0/h5+WN4dDhVdXSQzmBcKNhrJRFasVCnqCJmAhASqmoqJkWQ+Fh9PXFoiv/GJsDQXt1ppTjlwAFJaVTAWHY9ySUkJ1rr6m65fvx52u31utIwxigquXEm6Ej+k7MiR6Ij+hQvHSZlcmJkh8a0rZOsNKSnE2QI1Lo8WQgYQ5xR6XHeMJcC+stL9QoSe/mAJmSeam2nB7TXoJ1iADw/T9YyGUU4CBA3ZKadUYtkyFUZHFwSK3JiYII1Hff2iO85A0GiA9RsYUjaVUso2I2NWQ7Y+dz16zb3oGO+QvuH4eODLX6ZKzNnGo1EAwX+ntXUB0Ra4Q6Dgb9QSMgExMZSyFbpuT08HvG8Fg3k5ImVhIWQA7fD69UREa2vJOFjE8xlpUib0t7zyyisx4TrhZWVlXvteAiBt5KZNNDkCFNKcdwAWS2hFcosNx0mZXEhKooF/cNCn8D82liJP4+P0jHlDNBEyT0xN0VhfWwtwh5PSe62tYd8POQgZQLzLavUTDBNynTrdoqpSnG8Mm5VF6fP2dh/pq4ICmuD6+o5JYgYAHAydrACTFhX27t6NHLsd16y/CgDwXvN7wW301ltpIfaPf8i4pyFCpSLtVUEBEe15vU+bmynw4gtRT8gEqNX0TApFDocOBdSAJiSEHikLGyETIOjM8vIoCtrSEvAjkSRldXV1aHXNCVlZWah2hbfUajU5/PuCwLimp+laCt6RLlgsxMU/KzhmSVlEbsz8fPdK1ccKOiODnrHu7oVR6WglZAAFB4Ri07YOFT0lHR3Kdz32gFyEDKDjcfXP9d1BZ8kSCrEDUaOj8wdfTv2lpcS7fHrjFha6idkijAwGgs0GtLQ48NprR5Gt16PAbkdFvxM58Tl4t+Xd4Da6ahVwyinAI49El/aQMVoclpa6yYsLBgMRE28Ro0VDyDyh0dDCaWwsYAFAYiI988HW74SdkAlgjAbeigp3BwA/z2dsbGSkooJTf7FrvGSM4ec///ns3/2SMgEGA0V7zWbykhoagtVK2aVF2oY5KByzpExEVFsZlJfT0z+v4ssTxcXuaK2AaCZkAnJz3VGXwaRSqqJpbKS0rcKQk5AJyMpyL0K96KPdsFhIDNgRRKorTPDXOkmlIs6lUtEA5/W5KCykCe4YhFrtwMRENTSadMTkrQfKy8HGxnB20nq83/I+HE7fOlC/+OY3idG/F2S0TUnk5roLkCwWwGxGZibxtPnrqEVJyARkZ5No3GbzWwCQmUlBp2DSYBEjZJ7IyHDLRg4fntVHzkd2Nsm0wgnP1knl5eXYuXMnAGDr1q0AgFtuuQW7du0St7GMDErbuqr9LTUUHTweKTsG4HD40dEoCZWKVtGrVvl8C2Pk9yh4sS4GQiagtJQiLg2NDI7yCndps5ylTfOgBCETIPjF+u1wotfT8rOlxedgGEmI7WVpt9MC1OdzsWSJ21TWaj0mImaChmzFihSUlWWjuRmwp2cDFRU4K34NRqZHsL9jd3Abv/RSunmiTfA/H/X1wP79UE+OITOT3FCEwO+iJmQCBHO+mBjZI/dRQcg84XTS89nYOKfZd6TgrZfl5s2bwTnHyMgITjjhBDz66KPY46pUbhUjeTEYSDeYlweNUYe8vEXdaEUyjllSptVSREdi5bQ80OloSepw0E74mdza2qbx/PNHsGpV9BMygDjnypVEKtU6NZHPIJ22xUBJQgbQ+LZihdsayOulYoy0OmlpNBj6DauFF1Kai2s0JH0M+Fw4HKTrCFSREuXwNIYtKlqKsjIhlQkgPR1fOOnLAIB3m/8b3Bfo9dR66Y03ojqKivJyGpMOHUKOdhBOJ0knjglCJkAoABD6C1mtC9LKR46QhlQsoo6QATSvrFxJUe3+fooOelQutrdTa61wwBsh80RycjL27NkDp9OJ73//+wCAoqIiMMbw7LPP+t+4SgWUlMBYloeSEiDGNCzabHax45glZTExFMFf0IQ6nBgeJn2ZD4Hm9PQ0qqoOIDW1HOPj0U/IBOh07vM6PKkDr1zrtliQUV+jNCGbj+5uMpn0egiMUTooOZkiD6Ojiu9PIEghZAJKS2nVWVvrx5pFraZCh8FBmsWiSTMlEt6c+uPjSW4lRKgzcsuwNmst3u38iF4Q41UzHzffTMT1scdk2W9FEBNDVhIJCYhrP4ry2C7ExR1DhEyAWk0/QopvnmOsSiVe7B+VhEwAYxTVXr3aXa3kgt0e3G0sFYEImScYY7MNyqurq6HRaHDdddeBMYZrrrkGFg9R/3zMcuueHlokfgZwzJIygCYgrTaC7g0ZGcQMOzsXRFeElOUZZyzDsmUJ6OhYfN01BI/VWaF8SwsZysgQUg83IQPoXhkb810ZOxsmzMvzo5oPD4IhZAAdwooVNND5DYTl55PAWOixuIiImb/WSfn5lO0ScHbx2djRuQOTLXWkG5TgfwWAtHjnnw/87W/yW8bLCY1mVjORPNOG6v27ji1C5gnG6EJPTlLT26kpALRutFgC1+xENSHzREoKpW2XLaPfOQeD8hOdFEI2H2vWrIHNZoPJZMKll16K559/HgaDAXFxcajxQrpqa10eZStXUlXxZwDHNCkDaC6prhZVTawMSkooZ9TQMKu7mq8hKymhOb6uLjrcmMUiPt4tlO/tdb0wMRFyX8VIEDKAOLTgJuBTmqJWkxBNSE/L5UgpAcESMgFGI1Wech6gGi0vj1Y2Q0MRsT8JBmJ6WTqdlIXu7iZSZnfa8ZH5KLHygwelax6++U1KJb36qgxHoCBUKpgLCrB7Zgb5S9ZhYjQh4pokxZCRQelMgFLxg4OzwXyTyffHFg0hExAT485SNDVRFF/BFnGhEDJPGI1GvPzyy+Cc4/HHH4fJZMKKFSvAGMMjjzwy+77paVflpVBV/BnAMU/KVCq6Zzs7w1IkuBCCaEmnAxoavIr6heiFWh1dXpRiUFxMGb3GRmBCn+6OrvgMN/lHpAiZgKVLaQHa2CgiaNLQQIxfwSKHhV8ZGiETkJlJc5bfAgfAXcW3CFapYpuLq1Q02Le0ABsyToZBY8C7HR/RCTEaKfwrRb9yzjl04zz0UOgHoSDMZjP27N2L1evWAUhC27YOzOyuDk++KxKIj6dIUmws0NaGuFhaKLoCZwuw6AjZfMTFARMT4HX1iiwW5SJk8/HVr34VnHPU19cjNTUVt956KxhjOP/88zE6OvWZqrwEIkTKGGNtjLHDjLFqxtg+12spjLH3GGONrn+TPd5/F2OsiTFWzxg7R+r3FRfT81lX57ebg3LQaoFVqzBdXOyzylKvB044wW1Fs1ggSK30ehLSOrLz3D3N/NiCeEOkCRngPh6DwffgPYuiIrq2hw75X37LBLkImQDGKJXjV18GUNRBq6UQU3t7VKYyxRIyAaWlFCnsatdjZcZKNI400sKpspLym7W1cwws/UKlAm65Bdi2jQhdFGK+qD8nB+ApqejrdvWSDMP9GxEI13T1auj0DLlZDhj1C6ODi56QAUB2NuI2ViA92WWq29sr26aVImSeKCsrw9DQEGZmZnDDDTfgrbfewpYt8SgqYti3b58i3xmNiGSk7AzOeSXnXOhW+kMAH3DOSwF84PodjLEKAFcDWAHgXAAPMcbUUr5IiEQBkdMtT6tU2H3wIFavWoUUHykDIWoxMRGVzgs+odVSyl/I6qGoiEzAJBCraCBkAjQa6tct9Hn2CaGxrlpNaS8Fc89yEzIBNhsFNkVlnMfGKI156FBUpb2kEjKASPeSJRQQi1UnoWW0BUPmIbf2atUqaeZIN95I90MURsu8VVkaDEDykgT0pq4Ed/KgmnwvGqhUs32mSp31SGmf6xh/TBAyFzKK4lBxeQVJZpqaZImChoOQeUKn0+Ef//gHRkY47rnnRQDACSecIHx3oNj+okc0pS8vAvCk6/9PArjY4/XnOecznPNWAE0ANkrdeEwMVUs7HOGP1s9JWTocxAz9lND39FD6bDGlMmNjPXzXLC4LifR0eiGAxiGaCJkAgfeMjATIxMbEkCslQMxGAShFyADK1pWWEt8K6Org2axdRGubcCAYQiYgP58u30lJl6N5tBnFfy7GfZ/cB7PD4nZ3Hh6mhzEQY01LA66+Gnj6aenFAgrCn+1FdjZgURkxVuwy66yriyqyrQiysjAzMQO+rwoYGzumCNksXJkZrF3rbnoaZBFKuAmZJwwG4GtfuxxWK0d7ezvOOussILo4iyKI1AFyAO8yxqoYYze7XsvknPcCgOvfDNfruQA882BdrtckIzWVUoThbNmwQEOWkUE/LS0+RW6lpSQPqK1dXMJ/gFJ+e/d6ZC6HhoBdu3xqHKKRkHliYoIKGfxGLo1GImYVFbJ/v5KETEBWFhHqtjYRfCIzk45zYoKigxEkZqEQMoCI9/LlwI/PuxmHbz2M0wtPx48+/BFK/lyC/zT8h940OUkXX0wF6u23UxrwiSekH4wCCORDlpZGBUZOrZ4m8DVr3JYSi9ifzh/6rCnYadsAC9dj9KOP0LJt2zFFyFpbgR07QNoEoQCgr4/MyySW90eSkAG0YMrLI45ZUFCAd999FwCOUQGkG4xH4OFjjOVwznsYYxkA3gPwLQCvc86TPN4zyjlPZow9CGAn5/wZ1+t/B/AW5/xlL9u9GcDNAJCZmbn++eef9/r9TifQ02NAaqoVBoNyK0POOUwmEwwGA9Rqj4yr04m4piaoLRZMlZbC4YUlWq0q1NfHQaPhKCubglq9OAZJzoG2NiPGx7UoKjIh0TCN+MZGwOHAVFkZnB6Dn91uh8ViQWxsbEQeejHgHGhtjcXEhAYlJSbExQUgIZwjpr8fMykp4DpdSN89MzMDh8MBo9EY0nbEwOEA6uvjZ++3QNCMj8PY2Ymp4mI4I9SYzmQyQavVQhfieRbAOXBk4jDub7wfraZW3LXsLnwh8wvQDw7C0N0Ne1wcTEuXgqt9qycqv/1txLa1YfdTT8Hu6b0RZjidTpjN5oVjjwjE9PZCbbHAVFDg0iMcOzCZ1GhsjEd+zgjSBmsR73Rictky8IAVL4sD3d0xGB7WY/Vq9+pKZbXC2NYGjdmMmfR0TOfkzOmJ6g0WiwVOpzMsY48vTE+roVZz6HTuxdAZZ5xR5SF5OiYREVI2ZwcYuwfAFICbAJzOOe9ljGUD+IhzXs4YuwsAOOf/z/X+/wK4h3O+0992N2zYwH2JA202ajfDGGmHgumHFggBWydZreSho1IBGzd6fUjGxigYUVhI+pfFAsEQ3mIhz0ojzPSCWk0v6HRRHyHzhN1Okhu7nYq5/C6qp6fp5hL0ZkEShnBEyObDZKLdFT0/ORzuSdvz/woj1AjZfHBOigKdjqxCJmcmccFzF2Bb+zY88sVHcPP6m8nyoq6O8vSVlb4HjUOH6B7/6leBv/415H0LBlKd+h0OGo5muXV3N+Xs4+JILHqMRJEAeobfeGMUdnsDLrxgDfScuw/cZpNw80cnmppI33/qqfP+4HSSoWR3NxWyCNVZXhDpCJkAYRj17FjIGDvmSVnY05eMsVjGWLzwfwBnAzgC4HUA17vedj2Af7v+/zqAqxljesbYUgClAPaEsg9aLQn/Z2ZCttTyClG9LHU6utuWLfO5aklKovF/EbgRzIHQCYQxqsi064x0rDYbcOgQBvv6Fg0hA2j+XbmSJq+AHZYMBhKKz8wQow7kVOkFkSBkAPENwWxZlMuHQMI6O2kEDYNYU25CBtB9KrRNnJoC4vXxePu6t3Fe6Xn4xpvfwP/t+D9K265aRf4v/lZxq1cD3/kOmcnu9LtuVATBtE46eJD45ixyc+mGN5tpNRKwDHnxYGRkAL29bSgrWwt9TIybkHV0kO4ijPY2SsHrdKJSkS6mooKup49rGi2EDKBF/SKYHmRHJDRlmQA+ZYwdBJGr/3DO3wHwawBnMcYaAZzl+h2c86MAXgBQA+AdALdxzkPOOSYkkKXW8LC8beskNRePi3Pbi/sQ8yQmuvtDj43Jt59KIyaGiG9ammvuTkgAVqzAMICa+vpFQ8gEGI0UVRUVsUxMpAl8elqy7ipShMwTra1kvyZ6Lk5IIPIphEcVghKETEBhIRHSxkb63aA14NWrXsUVFVfg++99Hz/d+lPw5GQqMQaIsPjygvrZz4jY3HprWDV3wfayTE+n4WeOfjU11W2+GmHtoFwQRP0bN66AzTYvgp2aSgNVdbWsVhLhRsAAQ0YGsHmzu9nvxMTsh6KJkNlsdMtFSBkRUYR91Oect3DO17h+VnDOf+V6fZhzfibnvNT174jHZ37FOS/mnJdzzt+Wa19yc2kB3NkZVEBjASQRMk+MjdGE5ocd1tdT1GkxCf+TksgdgzGKMg06HDhiMhEhY2zRiYmFAcJspmyWXyQlUbTBYhHNbqKBkAEkrtVoSNsuqhgvMZFE4naXP5ICN6mShAyg4y0qInIiXFudWofnLnsON1beiF9s+wW++9/vwsld+hbBONhbD9T4eOD++4nM/OUvsu+rN4TSXDwzk57RBVHguDhKxZaXK6PxCCM8qyyLinQLF1exsXSsSUk02IqpuI1CJCS4q+B9QkjRml2yksOHUXf4cNQQMsDtJ3qclH0GUVZGz2KoUoKgCRlAA0FmZsCKzNl04CJbtE5PA++8M4rt2xuJkKlUlO6abZq5uNDeTumegJHLlBRg0ya6vgEQLYQMoMz68uU0ZotuzBAfT7l2p5PIiIzWCkoTMgFZWXQYnp7HapUaf73wr/j2pm/j/t3346bXb4LD6aATZDCQhsyb+/+llwLnngv85CeKmw6GQsgAut4pKUTKFvAQvZ7C3QAdZ1PToiMr820vUlLcbj1zIFhJ5OdTLjsCLdRCRWYmzRWi4PLDaT94EKyqCmuLi4MiZIcVMEwWSNkiSqbIhs88KVOr6d4EaMwJxlg2JEImoLycljm1tV4HAyEdOD2tjA5OSUxMDKK3twVxceths8XQLJCZSV4TcuaOw4TSUpqPjx4VIaMS2H5/v0+yEk2ETEByMqVqe3sldByKi6OUV1GRbKL/cBEywN3NobJy7usqpsIfz/kjfnraT/F49eO45uVrYNUwt/t/Tc3C7hWMAQ88QCH4731PsX0OlZAJyMoSIZGYmqJndhGtDL35kAmaSa/PLmOUot64kcZjILobzYeIuokJjBYWoqy8HKy6OqgFxOrVq9HkWr0xxtArQ/o3KYnmu+ORss8wJidpbJXaslEWQgaQEHPlSprEfQx6SUluHVxXV/BfFU4MDg6irq4GV121AnFxehw54hrjiovd0cFFpuEQhP9OJ10qUUSeMZrxDh+eQ8yikZAJKCykSyRpYDQa3fmTkZGQjFTDScgEGAx0fec3a2eM4edn/By/O+t3eLHmRVz8/MWY5jYS9qen00M5f6VUUgLcfTfwwgsAeSzJCrkIGUASow0biIz7RFERpRZGRhTXD8oBX8awDldnKb+LDeGmHxkhn8WAFT7Rgfp62l0xEDRka045BeyEE+gmCJJs/+1vf/P6/2Ch19NjFWVDYlgQcUsMpeDPEsMXWloocFNeTm7XgSAbIfOEyUTLOD870N1N8160yzzm215MTdFYLrgKqOBiNaOjNLmFOLGEG0NDtPtLl4osABBsFZKSgFWr0NDUFLWELGRwTpYv09PEYCVe20gQMgHc1XUoNpaKo+fjsarHcMubt+C0Jafh9WteR4Iunpi5Wk2Tmkrlnk0sFndN/+HDsuVj5CRkkjE6SmFixsiNWyafODkRyKl/+3aa9MvKAmzIZqPV+ugokJNDRDuKn9XaWloHbd7s/30+Rf2cuxeQajXl8wOAMYakpCSMjo6CMYbc3Fx0hRg1GBqiR0Xwv/X4ruOWGJ8lLF1Kc0djY2A5gSKEDKCZQCBkZrPXPGVuLhEypzNCDdZFwJsPWVwcTXKC7cJsU9L8fHeqYBEhLY34hugm8pmZdAJGR9H25puYGB9fFISMc9K1S8o0M0ZE22AgMuJDK+kNkSRkAO16UhIFR7zVaNy8/mb889J/4tOOT/GFp76A4ekRtxP+kSNzW1DFxAAPPkgh+N/+Vpb9U4qQ2e20Zgh4qZKTSYibn78oCRlAt6WoehStlu5jQWd28GBUpzM5D8wZ/VZZCr83N9PKREQ6c8uWLRhz5b3POOMMdMugoWxoWFz9n+VEdM8GYYagKdHp/DcuV4yQecJiCSiGr6kJ2gpLUfgzhk1Pp8CBMIdBrXZrkOx2ihQuIqSl0SAoetczM9Gs1WICwLr166OekAH0XNhsZJUhSfus01FINC6OHqiAJauRJ2QCliyh+djX43fNqmvw6lWv4lD/IZz+5OnoneylE5WdTaGKAwfcoqWzzwauvBK4776Qi1uUjJCp1ZStE5WpMxrdBopTU3RzREHWRWwvS6NRwoJW0JkJHl9R3JRYCHT5gmjbi9WrqfqjsZGeXT9pzW984xte/x8sFpgZf8YQ/TNCmCEYy5aWel9xhIWQAbTCzsnx23hxyRK6eY8ejYrxEID4XpZWK81bIyMeL9bXk83AYvL9cKG2VtwiuqGhAaN6PVZ+8YtEyMzm4KpLwoyyMuJYtbUSCys1GrLLSEwMqC+LFkIG0G4XFlLWytccfEH5BXjrurfQOtqK0544De1j7RQNFcyD9+93M/U//pFO4O23B/2wKp2yZIxsrEZGJEqLBgepJPno0Yg2NJfSXNxgoEskaXczMqgAQMhkRGGawun0Tcok+ZBptZQGKC6m0GlVlc/BbcuWLQCAxsZGXHzxxQCAzvmFLxLwWbbDAI6TMq+Ij3d763lqWcNGyAQUF9OONDXNYy/u/Swro/R/NLhLSGmdpFbTgFhT4zG2CaZmBw9GvYh4PoqK6Hj8RVgXiPoFXy9/H4oSaLVumwzJ95paTURFqNX3MuNHEyETkJ1NE4O/yNHnl34e73/lfQyZh3DKP05B/VA9pfeEEk6hVDonB7j3XuCdd4BXXpG8L+HSkGVm0q0oqXf10qXuCiTPCGEYIYWQAcSvKisDtoBcCGHbQiajri6qnt20NO8+ZUEZwzJGadvKSoqa+UhVa1zi5r/+9a+z5/7vf/97MLsP4DgpOy7094PRUZKHVFQAcXFhJmQChEaS09NUHuXlTm1qooDasmVU2h4JBNPL0mKhBZhWSxIVjQaUHqiupgFg7dpF1YtuYIBIZm7uQq8gn1WWPT0koEhLoxstytOZLS0UuN24MciWiFYrRZAyM2kyR3QSMgEWCx1noHnsYN9BnP3M2eCc470vv4c1WWvow06n23PHbqdneGiIyJoIETUQflH/7t0UqF+zRuIHR0ZogaFW07MbpllVKiGTBZxTdLCtja7jihVRa6olq1P/9DSJS4uL51SaMcaQkJCA8fFxMMaQlZUVtDVGRweNM6eeutBZ57jQ/zOOxER63g4enMHHH+8NPyED6K5ctYps1n089MXFtBCPlFY+2ObiXr3XhCbIFgulMxcRMjJoYdndPVc+5df2IieHGNzQEDG6KF8kFRZSwV3Qc59WS5Gk9nagqQkOuz1qCRlA9yhjxKf8pbrWZK3Bthu2Qa/R4/QnT8fOzp30YYGQNTSQ9cvDD9MN8vOfi/r+SFRZ5uZSvZFkpKTQ6io1NWwEJRRCNjgYgmMLY/QwCD1Cq6q8d3cIM5zOuYE72VsnjY9T6Liqak4VzBe/+EVMuPqGnnnmmegLwUIkJwdYv142q8NFh+OkzA9UKqCoaBp1dUehVq9BQkKYCZkAvZ6iCkITzHmzA2OUxvRckIcLwRIyAUlJxEmmpz0KFlyWESgpkXNXw4KiIiJmgom/KB8yIbQ2NLTQhDTKoFK559ug9M6MkedMXh4c7e04/NJLyMzIiEpCJsBuB/bsCVx9Wp5Wjk+/+inSjGk46+mz8GHrh/QHzunmbm6mSpevfQ3405+oKtUPImV7kZcXwqMXG0vXVxirOjsVW2iEGiFrapLBIjEtjRiEVisx56sMDh5031aK9LLMynJ37vCozrz55psBAN3d3SGL/TUa0UHkYxLH05d+IGjIlixZg46OZKSmUmQnYq3BnE6aHWJjaYXmZUcaGqhCbu1a5TNhoRIyTzidPvaXcxo5s7MjeOKDQ319A8bGJnDCCSJtL4aGKNoQ5SlMgAjZ4cPEJXNzpX/e4XDg0OuvI8tiQfbmzbOpzGjF0aOUndu0KbALRN9UH856+iw0DjfilatewZbSLXQfNzeTzkCjAS68kMyk3nrL6zYi6kMG2l2TaaFPlCR0dtIxp6WRIFHG0IccKcsDB+hfoe96SHA4aHwSind0uogYSVZV0VdrtQo3F7fZKL0xMgKUlcGekQGtH6lJWVkZNm7cOPuzZs0an3NGRwdlqRITF/7tePryMwxPUf/SpckoKaH0YER5gUpFYZjhYZ+tB1JSiJQpnfmTk5ABdGhOJ+23KwpOGBsjpllXF/WpPU80NDTgwAErdLp1YEzkY+bpr9HcHFUC4vlITaV7rblZerGsoCFLqqxE9uc/L8HoLXJYupQuhxivtqy4LHx0/UdYmbESFz9/MV6ueZkGjpIS+rHbga98BXj7beDjjxd8PtKEDCA+tW9fiJZc+flzCwBkKt6RS0NmMMhYT6RW07MreNV5Vt6GEU4n0NraonxzcaFPaFkZkJkJjUYD7nTC6XSio6MDjz/+OH7wgx/g9NNPh9FoRENDA5555hnccccd2Lx5MwwGAxhjc37i4uJw+uln4M4778Rzz72Mzs5OHKtBI384HinzgkBVloG8YBRHczONmsXFXie09nayDSoqclsJyQm5CZkAm41WepyTNGV2vBWUnzk5Iiy4Iw8hZZmdvQ6NjSosWSIxECRUDAih2SiNnM3MAHv3Utp87Vpxz4RPUb/TSfd1YWHUFnfU15NWcONGcZKpccs4tjy7Bbu7duPD6z/EaUtOoz8MDREb2LSJHtJPPpn9TDQQMoD4xN699Ljl5IS4sZERup8FQ+EQclNyivrb2ujntNNkfsTGxuh4HQ5K5WZkyLhx//jXv9qgVptx2WXLlSNk3iD0rsrKovx3gO+enp5GdXU19u7di71792LPnj1oaGgQ801HOOerZNnnKEV0jvYRRCBCNj5O1UkRtdIqKiJtSnOzV2HPkiU0DrS0yO9zqBQhA9yLL7t9nktEQQH99PTQQUUxPDVkubkqZGcTSZZgaE8Xr6yMLp7o5prhh15PuzkxIS6C5LfKcmqK0tQRslQQA6GVlljpUGJMIm5Zfwsc3AG700PomZZGE9cddwCffkoTOKKHkAGkkDAaZZJJCQUACQkhFQDIXWUp7Irst1tSEunM4uLcDZXDEPyoq6vD9PQMVqwIMyED6PiMRpqTDh8O6GhuMBhw4okn4o477sDTTz+N+vp6cM4xMMCxdSvH5CSfjbq99NJL+MEPfoCLLroIACJnhBcmHI+UeUCMD5lXG4dIgOLUNFN42QmHg56NggIaE+WAkoTME0JPycxMkqLMoqGBKn9OOCEqTWy8ifqdTrejyfr1Ene7t5fCMykppCGM0ohZUxMVVAreft4gyvZibIwuvEZDERWhciWKMD0t7Rp+7onPoXuiGw3faoBqfhr76FG6rt/9Lszf/jb2tLZGBSET0NJCAfmTTpI5eOl00gIrN1d0ykEJ2wu7nbiDUGErO5xOOolTU+QvoiBREkT9aWlrYTQypKUp9lX+0d1NxEwwNhQqnkTCnx0GcFxT9pmCWGNYTxuHiMqcVCq3V4zTuUAcoVa7Pf+A0PczXIQMoEDC0qUUKJpzWKWlQTCb8MBXlaXQ3jMmJoiq2OxsSn/MKU2NPpSUyEDIABrA16xxe/N5azwZYQi3npjLUTdUh23t23DTupsWEjKAfOlKSuDYuRMNr76KytTUqCFkAAXjOVegq9DQEDF5zx6hfqCUD5lGQ9dTMa6kUtHDsXq1u1dZ0B4cvuFZZVlQEEFCBhDRXreOJqDWVskfn56mQoXPqh0GcCyTMgkxaalO/UlJ7u4Tkpo0KwWhx4+PmaKri6JmwRKzcBIyAUuWUEBsztcx5jZQ6u0V1UsxHAhkexETQ56hQUlpsrPdxmCcR20qE6A07fzssmRj2Ph4EqjFxERtZHBkBNi5M3Af0L9W/RUalQY3VN7g/Q2MwXbeeWBVVVi6ahWShoep12CUID6eOLLskqiMDFpsjI1R2sGPFkRpY9jubonSgmAg3MctLWSMLaPtzXzbCy+OSeFHXBwtnisq6HebTfR8XF5Ow91nGdE56skBq5UE0wEQbOukvDxKr0VFm8b8fLrpDx/2+kQKjYaDacUUCUImQBiDOzvnnWfO6drW1YVhRPUPUT5kLni6IkiCsN3GRp/XOBowM0OLlLEx+j1op36jkQZ1IX0ZZU3qExICBwIsdguePPgkLl52MTLjvPS9AWnIjhYVQWWzIXFsjLQG4XKkF4nkZIW4cXY2hfIFgbgX49VwOPV3dYVxbSe0zWtulqVPqDcfsh07oiRQoFa77+XGRirl9dIq0BuitM4nbDh2SZlaTZO2n+VsqL0sy8vnaZ4ihYQEWpVMTHhY47uRnU1R5a4u/3385iOShEyAzUaDzJEjHpkOxkiLEx9PQlqRD7vckELIBExP05gcVBYjMZEYT5QSs+JiSgfV1QFWq0ytk3p6aEAPwSFcbmg0xJ9GRnxfx1drX8Xw9DBuXnez178Lov4l115LzOfNN+eWS09MREXBg8NBAR5FHrHEREp1xcUtIKPhap0UExPGNrsazcIm30E2NfdGyIQgetQFmAsLKSd56JBfqx+Hg8aOOZZIn0FE2+WTDwYDUW4fhl1yNBcXbv7p6XmkIRJIS3O7wnupUCwpobG/oUEcIYgGQgbQJVy5ks7xnC5EQpNro5FOvhCeCROCIWSMUX/SmBg6FskeUELlw/g4pasjesMthFpNx2cyOfDvfx+Wp3VSZibpBerqoqrbQU4OzTNtbd7//tj+x7A0aSnOLDpzwd/mVFlmZABbthApE4i200k3yP79EdfVqVQKKwViYihiJkRFe3sx0Nsbtl6WMTER4L75+ZQX1miCqhTz5dQvcJ2o02MJke/cXHqGfXjWmc209oqCtUhEceySMsbIX2HFigV/koOQeWJmhsSwXoJU4UVuLq3CsrMX/IkxCqbFxATOBkULIROQmEjWCyMj8/imRkODm8EQWOAjI4IhZAI0GrolbbYgW11mZNCFnJwkMhpliItzYGTkEByOTGRny+DSL/R+zcigVXZzc1SYCKvVNLeOjS0MdrSMtuCjto/wtbVfWyDw92p7cckltJjaupV+V6loJQLQBCa70l48GKOM2/BwGE775CRGd+1C1xtvYNOaNWFpLq7X0+Io7FLNpCSKEmq1dGI7OkTthL/WSdEQKbNarbjvvvsW/kGloqDBypU+27cIz1EUFl2HFccuKQMoLC6US7m0R3ITMoCeL8G42tfKOWzIz3ff1fNW2VotCc79mUFGGyET4JmCnaMvE7xJBBNdhWeOUAiZgLg4t79XUIGQ9HQa3JRwBg4BgoZs7doknH9+tnw9qVUqihAKN0CUVGXm5Hh3Z3nq4FNgYPjKmq/Med2nD9n555ME4Zln3K/FxdF9LUSCXT0GI4HUVArKKlA4OAcD09Oo1WqxsqQE+jBFvwXeF1LnglAhrDb37/ebzgzUy1IItEaSlL366qv40Y9+5PsNaWk0Cel0NFa3t89G/IVxPQqL68OKY5uUCRgYAI4cwXRjo+yETEBuLmaNQqOgLy0N4lVVC8QgwgM7MkKZXU8OE62ETEBJCRXmLVhJCfH6yUnqDaqQMFwOQiYgK4uc4YM2Nxf6HAF0w0V0Vpkr6i8pWTp7XLIVwjDmtkSJkm7FarX7XhSiFE7uxJMHn8SZRWciP9HdbcOvMWxMDHD55cArr8w9YXo9pfZSU5VnRH6QnEynX8mAnaAhW3/WWdBt3kyLrYMHSVOoIDIzydE/osNdaipFgwUTTC/FS2Kai2s0lCiJ5OPRJ0b7Kez/+DhFMaqqgIkJTE9HddF12PDZOPz0dFji4lD3n/9gTX6+7IRMQGkppdoiuKh1IzOT7COOHvWa2jOZSCvS3k6/RzshA+hZTkig/4+MeNEeaDS0XDx4MGgBrS/IScgECKe5vz+E3bXZSG9VXR0xMYavKsuBAeLIsgY8hA7ZQ0OU2osC/7b6encm+ZP2T9A21oYb1tww+3dRTv1f+hI9p2+8Mfd1tZry3cuW0e8zM2Ev8tBooKj31QJRv9FIUcLUVMWrUVWqKCEBqakUQTIY6GbyKNEWQ8gA4rH5+W7XoEigX4r4MCmJFh2cAwcOwNndi1hj5KUJkUY03I6KY9piwa7xcRStXInk3l7FfCwEKcjq1YpsXhoEV3Stlqr15s36+fkUrWlrA2prh6KekHnCbic91pxWTAANaMJDXl0tW1mVEoRMgM1GFeMLjkUstFq6zjMzsh6zWPizvUhNdVdjKsIjJicjSkYFGI3uSswnDj6BeF08Lll+CQAJrZM+9zkKt3umMAUw5m52fehQRFpRrVhBURi54bPKUqhUFFyJBwYUOWbOycc2ws46hJgYSgXk5s464YslZAA9Y2ZzZK0MRUXKPJGYSGQ0LQ0rNPVYpRfV//KYxjFPymY1ZGvXIvGUU2iAO3pUMe2RVkvjp91OhCeimmSdjiZszr26x5aVAQ7HKN5/vwsrViwOQgbQeL1sGWmyFhTXGo1uV/iDB0NO6ylJyAB3N5KpqRB8QxMT6ZhttrASs0A+ZEI1psWiQMvStDQ3Gd2/P6KGgTk5dB1rm6fw4tEXceWKK2HUGqX1slSpgGuvBd55xzdDYIxsM6anI1aZKSe5Fm17YbdT2bgrzSUnGKOKPy82aZGBIIiPi0NdXR3sDQ1Yu3SpqF6W4+MUmY6k5FIyKQPc1U9lZf4Fz58RHNOkbIGoX+iRVFqqaB8ygB7ytjZahUUURiPpFYqLFxzz8PAgOD+MVauWY2JicRAyAUIrpv5+L04JcXE0YScmhtScVGlCJiA1lToY9PaGYMeVkOAmo2Go1hNrDJuYSEbL3d0KyKLmpT8iFTFTq6nm4j9Nb8BkM+Era74SXHPx664jAvLii77fk5pK0RQg7JWZR4/S2k4OSPIh02jomFUqWnT09sqzEy6E1atMJOrq6mCemMCKzEywQ4dIZxJghR8NQn9PUtbV1YVukVqeyUng4GAOTCqXIK6xkSbPKO5gohSOWVLmdDq9i/qTktxNUhVcUqSnuycjmccQ6UhIcKcBxsYAp3NWQ3bKKRtx0kl6FBVFdA+DwpIldJ6Fnr9zkJBAYRqViiJIErVH4SJkAgoL6bZsaAghuBcfT+WAubn0u0JhWqlO/UuXEk9WhDPFxdGEnZcXUTf8nBwgUZ8EAGgcaJROyABaSOTmUg8nf/CszAxjON5gIGIdarQsKGPY2Fgq8khMpPB4g3xpLp0u4nUyczCbsjzhBLANG2iQa20lRuxnHBOuSyR9yjw1Zfn5+aisrBT1uakpCmSoVHDfz11dFBGOso4eSuOYJWUmk8l/leXoKDmFK1jdU1xMBXJiDVsVh9kMHDyIkZ07UXP06KyGTKdz/zmIHrIRxbJl1FlB0H97xeHDfnuDzke4CRng9pFbvhyz1yMoCB+emqJchsz+bcG0TlKraT6VvYeiAIOBGDrgrmAJM9Rq4MbTzkF5yjLc9/F9WL16tfTm4owRMTt0KPB7hcrMVavocw6H4lGF5GSaL0Mp3AjJqV/QTxYUyFouGU2kbIGGTK2mgaGsjE58dbVPEh4N5rHzhf7xIktBzWYiZDExcFdar1pFK7mqKqCnB44o7GKiBI5ZUmYwGPxXWSYlUfSosVExQYGnYWtjYxR4XhqNGE5IQMfevdicnr5AQzY0RFHyKDJODwi1mgoWAHqwvZrcL106S0gDueBHgpAJ0OloUQzIUDyq0bgLHmQqfwy6lyXcmfO+PoU1L11dFEmJgGFgjN6Ci9IvRIupBXtH9ga3kdWrqYpFzAJCrXaT8JoaInMKVqMmJrr76AYDWVonCbo6waNvdDTkFa9eHwVjMwKI+nNyKDpaVOR+mObtdDREyhwOB1KFrAyAzEzvfV/nY3qa1lZzDjs1lSL/SUlwNDRg76efyry30YljlpRpAmmJGKOwhNFIYgmFhMIaDRF+YUEbSQwODuLIxASWn3UW9IODCzrXFhS4jdMjaCIeFOx2kth47aqQnEyVXAGIWSQJmScmJ4G9e0MM4gqVXHo9TdYhNi8MhZAJsNvp3prvjycrysrcZcWKftFcCBqymzZ/F+kxOfjNp78LbkOrVhGx8tEezicyMkgEr2DRg0pFa9lgbiXFelm2ttLCIwQfoqVLgZNOkm+XgoGoKsu4OLcMpbubrDM8SHhyMt3+kbb48CRiWcKKOQDMZh+msTodHBUV2Od0IruwUJ4djHIcs6RMFATGxJiiTZ6NRvdqbGBAka8ICE8fMn1FBQ3iLS0LqpnKy919vhdTKl+jIV2Wz64KKSlU5OGjzDFaCBlAY29SEulcQ4oqCSkuwRU+yMo1OQgZQNeotJRIp2JefkKDUaFy4sgRxX29PEX9+dlZuDTn29ja/gH29+6XvjHBT0dMCtMTmZlU6GG3EzFTKPqfm0unVgrXVbS5+OrV9Gw3NpL3yiIUhkuxvZgFY24JjitSGBdHAbVILv4LCwtRU1MzexwZIjULMTEUiZ0Ph8OBPXv3Iqu4GEsEicIxjs82KQPobli5koTCCsd9h4aI7MwLUCmOBcawwsS1fLnbjdUFtZpOh1rtNpZdLAjYVUFwzp5X1RBNhAxwB3G1WgrihtR3XKejyTovL4DwzjvkImQCMjLoMrS2KlzxtnQpMUCnU9FZan6VpV4PfL3yGzCq4/GbT4KIlpWXu70FpSIxkcR7er1iBCUlhQKRYk+pooQMcPuZFRZSbvzAAckPjMVCz1kkdL9BETKA2NfatXQhqquBzk5MT0d+Id3a2opdu3YhzeU2/Nhjj4ExhjfffNPv51avdnfKE+BwOLBnzx7k5OR8ZggZcAyTspkZCbqcxER3xZqCZfXp6bSgbWkJn1mhT6d+lYp2BqAn2SOKIgRYBBPxxQShq0JdnY8BKiXFHbbs6EBDbW1UETIBWi3pES0W6ZksrxsrKnJXoooM18pNyASUldG/IR9XIOTm0mgvHLfMLNCX7UVFcSIuyP4GXqp7Aa2jEitndDpi5FIjZQKEtLVw3JzLnsK1WMTJGxQnZAIYI1K2ciWF+YOwwRkcDL/VXdCETEB8/KzxKpqb0XbUJJtlSSjYtGkTBgcH4XQ68Y9//AMAcMEFF4AxhuXLl6Ouri7gNj6rhAw4hkmZzRZE5sJkooo1jxYXckNID9bWKr+qEd06qb6eJgGPHTIa3Sa4UdE2SiRUKspS5uQEaGw7Po7Ojz+G7cABrKusjCpCJiAxkbiU0SjjvNreTuHaAPe4UoQMIE5cVkbBO8UhTHZ1dZTWk6ka1Z8PmdEI3LT621BBjd/v+KP0ja9aFTwpA4iUCL12WltpIAwp3DoXHR10C/m7J8NGyDyRluZm/NPTosdxoVYinBWYIRMyAYLx6rp1cMTEUrInSkpJGWO44YYbwDmHxWLBd77zHdTV1WH58uVgjOHqq6/G+Pg4urtp2hXm6s8yIQOOYVIWE0MrHxGk3A2jkdSSTU2KKd2FVkxqtaKNBaT1sqyooB07eHBBNKG3l+Qai4mY6XRkRyKQSm/nuGFgAMPp6VielQVV0D2OlEd+PmXiZMvAFRVRyLapyWeFopKETEBmpluzHBYIVWvV1SEXPYgxht20PA+Xll6Hfxz8O4bNEseS1auJUMihC4uJoeM9cEC2frDJyTSB+pIoRoSQzUdvL93jNTUBV+YqFXGbcHEZ2QiZJxIS4HAAavMksGsXMedoKCl1Qa/X449//CM45+ju7sbpp5+Of/3rX0hKSkJeHsPjj/8/MOb8zBMyIEKkjDGWxBh7iTFWxxirZYydyBhLYYy9xxhrdP2b7PH+uxhjTYyxesbYOWK+Q6OhcdhLkaG/HaPUgaB0V6h2X68nYrZsmTJyF8nNxWNiSHfkdC5oTZSXRwvQpqaQ57Kww24ni5vm5rmvCxqy1WefDVVFBU1+hw9HLTEDSO9SXS1DwEOlIhIuVCjOazkRDkLmifb2ENpLSUFsLFkKGAx0rYP0MhPr1B8XB/z0zP+F2WbGQ3sfkvYlgthfjlxUTg4921YrRQplsEcRvLe9bSoqCBlAg78wAVRVBcxN6nTh6W2vCCFzweEANPEGWu20tND9EyVRM0/k5ORg69at4Jxj586dSExMwaOP3g21Wg2NRoP6+vrPLCEDIhcpux/AO5zzZQDWAKgF8EMAH3DOSwF84PodjLEKAFcDWAHgXAAPMcZEKfLz80lY3N4u4d5Uqyl9oNEoelMnJLg19nK2c5NMyATExtJkYLXOUfh7OofU1ES0xaBkaDQ0PnV1udsXLRD1Z2W5G2lGWiUbAOPjMhmZM0Z59Lw8igi7mF64CRngTo+HRWSt15PeKjmZ7nGJVZlSWydVpK/Amfnn4/5df8a0TUKUKtgKTF9ISiJCqtMFdIUXA62WSOf8QF7UEDIBBQV0Lm22gH0zY2OV9/dSkpABdDur9R59JMfGqDpTJp9CJbB582a89dYwjhyx4e677wYAfPWrXwVjDCtXrkSDjJ0bFgvCTsoYYwkATgPwdwDgnFs552MALgLwpOttTwK42PX/iwA8zzmf4Zy3AmgCsFHs95WX0zgsySVdaOSdnk4jkIIYGaEFrBzpwaAJmYCEBFL4FxfPeVngqYzJ2t0kLCgupjm4oQHYv7/Ju6g/KwvYvJkipEBUhf0FJCaSlnlgQCbDesaAkhKq1tNo4LDbsXf37rASMoCOSa+n6xOW0y7czGvX0v85FxUhDaqXJYDLsr+PYcsQnqh+Qvw+ZmdTQYpcpAygCOHatRSiF8a0EE54cjJxHOHURR0hE5CcTGL4jAy/1ccrVtBcoRSUJmQAjXWzOk3BbFajkb2rh5yw24HpaQcaGw/i5ptvBucc09PTuOOOO3D06FGUl5eDMYbrrrsOEzI3o49WRCJSVgRgEMA/GGMHGGN/Y4zFAsjknPcCgOtfweAkF4Cnx3yX6zVRUKvdz+LgoIT0T2wsTVqM0UpLoRkjOZmiOU1NoUlIQiZkAuLj3dVqLS2zxx0TQzy1oiL4TYuByWrCfxr+Ay7T+Ra6KvT1daC62oaVK31UWQoTVXd31KYyNck9aHNuR2OjjEE9jQYOhwOHX3oJeWNjWCo4pYcJajVVzJpMbl32xMwE3mt+T7Z7YAEYc/fJbGig6+1nYAiWkDEGXLDqNCyL34jfbv8/2J2BB593m9/FlM0kvt2SFGg0NOAAQH9/SB0A8vOBE0+koSIQIbM6rHir8S04eYSeKb2eGJdLZDp6eA+2NX2g3P01D0oQMid34u3Gt+FwuqO9KSnzvL7i4mjRJTC18XFF3AU457jooosCvu/D1g9hts1NtdhsDgwMHEJxcfpsyjImJgb3338/OOfo6urC6aefjmeffRaJdHCxsh9AlIGF68ac/ULGNgDYBeBkzvluxtj9ACYAfItznuTxvlHOeTJj7EEAOznnz7he/zuAtzjnL3vZ9s0AbgaAzMzM9c8///zs32ZmVKitjUdioh2FhSbRWi7mcCC+vh62hARMK1Qu5nAwNDbGwWZToaxsEnq9tMHLbrfDYrEgNjZWtodeOzqK2PZ2WJOTYS4omCN+4xwYH9ciKUl+Eca7/e/i1e5X8ZPlP0GOIUeWbc7MzLga3qZgyRIztFrf97xueBjGzk7Y4uNhWro08vbYHnim/RnsHtmLr6gfQE6qHrm58gi3TSYTYicmkNjfD0dsLExFReBh7tXS2hqLqSkNKiom8M7Am3iz9038vOLnyIhRqmEmQTcyAkNHB5wGA6aWLgWfF1J3Op0wm80wGAxQB3FOHA7gX9XV+OvUd/GD8h/gvKzzfL53eGYYPz76Y5yXdR7+97lGpH3yCXa89prk7xQD3cgIDJ2dcGq1MBUVwRnkQk7M2LN9aDuean8K3y//PkriSkLZ7ZChmZzEW7VP4XXbXvyi4hdITiZzrJERLYaG9CgtnZJV52uxWOB0OmE0GuXbKIBDY4fwYPODuKXoFqxNXgsAmJjQICbGCZ3Oy/zhdCKhthZwOmFesgT2ef6UocDhcOALX/gCXn/9dZ+9Lj3v7QtzLpx93WQyQavVQicildXZ2YmvfOUr+znn62Xb+ShEJEhZFoBdnPNC1++ngvRjJQBO55z3MsayAXzEOS9njN0FAJzz/+d6/38B3MM53+nvezZs2MD37ds357XubhIVFxbSj2g0NdEyvrTU7WcmM6anKY2p1VK0XSwXkC1C5g0dHRQty82lY3eht5dcNMrKKEouJ5zciSMDR7A6c7Us2/NmDMt5gAIL4QBTUijdEyXEzOqwommkCUXxFdDrQy8SWaAhGxwk4aCgLwypM7o0WCwUrIqLo3vgcP9hrMlaE54vHxmhUmiNho7bZScRbIRsPpqbOba8dgJm1MNo/FYDtGrfkoiawRoUJhXC+Ps/A3fdRamnIEx/RWF8nI7b6aRwsr9ewV5w9OggDh1qxaWXrvGbsuScY3/vfqzPiY651D4xhkO7/o11MUspG5KTMzs3nHSSfLe9kilLzjn29uzFCTkngDEGhwP45JO5bUEXwGym620y0ZtkLOtmjOG1117zGzE7OnAU+Yn5SNAnzFZZZmbmoKhIvKifMVbFOd8gxz5HK8I+23DO+wB0MsaEDP6ZAGoAvA7getdr1wP4t+v/rwO4mjGmZ4wtBVAKYE8w352b6y46k2TeWlzsLkFUyCrDYCBdQ0FBlBAygHYmP5/YbKvbBDMrS/5e7sPmYUzOTELFVIoSMoeDsjZ++0pmZ1O6Q5isI6wxG5kegdVhhU6tQ0V6BYSmDBZL8BWxXkX96emktzKb5an8k4CYGEClN2PaNg3uVIWPkAFERtZStAGHDlE0QSZCBgB5eQy3r7wX7eNtPrVlU1aq9K5Ir4BRa3R3nfB47mRHYiLpjmJi6HpLqOIZGBjA4cOtSEurhEbjm5BZ7BYwxqKCkHHOYXPYoElIwrozrqUCiIYGoKNjlojJVYGpJCFzcicYY9iYu3F220LNil/fXKOR0pk5ObTgPnBA1hZkH3zwgc/9BYAVGSvmELKcnByYzUtQVSXbLhwTiFQI4FsA/skYOwSgEsB9AH4N4CzGWCOAs1y/g3N+FMALIOL2DoDbOOdB30llZaRnr62VUFgplCDGxVEkQSHhZFISER4gcOpfcUImoLiYSEp//6zuZn4vdznsj+756B7c+PqNczQSocBX6ySVin4aGwNU/AnELDk5os3kOOf433f/F7e/dfsCDUxjY3Dn32+VZUoKWSjMK/YIBx7Y/QAufvpabN9tCb+kLy6OCMqyZTBbLLIRMoAkTbeffR425W7CLz/5JWbscx/urokunP/s+Xi3+V33i8J1aWkJ+fv9QugAUF5OD7QICBqyz31uDbRanc+ixu0d23HR8xehZVThYxCJd5rewVUvXYUB0wClJISWa5mZs2RGDlKmJCEbMA3goucvwq6uXXNeFySRATPsKhVNghUVdM/LKFPwRso457jlzVvw7OFnASw0hjWb3fLO4yBEhJRxzqs55xs456s55xdzzkc558Oc8zM556Wuf0c83v8rznkx57ycc/52KN8tOL4vWyYxTC1UbaWm0kCmICYngd273TYO8xE2QiagrGy2Sk+A0HKOscDu3mJw6wm34hvrvwG1KvRBwl8vS4FQxsQQofFLfrOz3SLZqSnFG1t7A2MMX638Kq5eefWCAb60lI6ntlb8+Rdle5GY6Daj6umR17PFD84qPgsXL7sETmtM2PvDAgD0epj1euzZsweV6elIltFKgDGGn5xyLzrGO/D4gcfn/C1WG4uzis5CZVal+0Xh2igZKROgVrtXg5OTZIjn48HwFPWnp+vBmO/FTaoxFRuyNyA/Id/7G8KMVGMqlqctR5qR+jKCMcoG6PXQajjQ1gZbb2j975Suspyxz6AwsRAFiXNzlAIpE91hKiPD3f3AbKYVXgjjW3JyMmpqaha8Pm2fRmZs5oII2ZIlS8A5LShlltsteoRdUxYueNOUecPUFElIJD8/Tif9BNFnLRA4pyzK2Bg5VHhW1ISdkM3fsYYGmrBdfTPHx4no+tB3BoTdaYdGJd85FNtc3GQiDV9sLJ1jvyljm41YclwcEfMwieA55wEH9oEBIsVLlrjncV+Q7EPmcJDPkdVKKxmJmqNgUVND8oKNGxVf/8zBnJTl4CAR0sxMd+VeiKiq4vja9lMxZG9D0x1NiNH4OTjO6cH/6leB++8P+btFY3iYLoBaTasuD0G4tyrLqip6a2Vl+HZRCVhNNhx5rQmF8cNIWZHt7gAhAeGwvfCF0VHy/V67dl4FphgIgrrYWIqgxUovcLziiivw0ksv+axo9ebUbzZTe6Vly9xrgkA4rik7xiGI6+eZmovDkSP0o0CehTGaAw0G+gqh81FECRmA2aVNXd2sti4x0U3IpGZ1rQ4rvvLqV/D8kecDv1kExBIygMadZcsoIBCwSlyrpbDU+Dhpb8IQMXM4Hfjmf76Jtxrf8vu+jAwK6LW3+/eIDMoYVq2mUV5wwRfZyFwqHtn3CJ46+NTsgF5cTM9AUM9lkFigISsro4k5ROsIT+TmMnwl/150T3bjr1V/xcTMBH669afom/ISEmeMWLbS6cv5SE2lNK5KRREzV7jel+2Ft+x+z2QPHt77MCx2eRvAB4vO8U48d/g5v5Ykulgt1l1TjpTlmUBnp99ooTcoTcg453ip5iVMzngfZOPi5tSoSENuLkkWBJNdv4Jb7/j85z+/4LU93XvQN9Xns3WSIGE8Himbi880KTMY6H7s7g7CkDMzk2bB+noldm02Pcg5zYd9fREmZAAN1KtW0Qhw9Ogclf/QED3PUs6j3WlHSUrJglB8MJBCyASkp1M0xm/jcgGZmZT3HB+nSVphYiYIv3XqwDn2khLKwviKVobk1K/TURgkIYEiKEEM2P7g5E60jbWhY7xjdjLT6ynyNzqqiK3SAvgU9RcUUORgYoJE0SEuwDIygI3pZ2BD2mm479P7UN1XjW3t2zBu8ZH/KyoKT/pyPmJjSa6QmAjU1WGwttanD1lREc3nnvik/RM8d+Q538cVZrzd9DYe3vcwxixj/t+oUtHia/lySqEcOSJq++GIkDWONOI3238zV3foAa2WAtlBJ24Ek12h+EHihDiflDm5E7/Y9gvc+9G9PntZGgz0nB8nZXPxmU9fCqRndHRhqjAg2ttp0BSTOwoSo6NAY+MwzOYj2Lw5goTMEzYbrSQtFhqRExLmnMc1a9ySpHAgGELmCc4pIJGWJuL6C7YRS5ZI9FWRDjHpy/lwOudm2mRrneRw0HGnpChiCzM/je10kk5GaVcOUVWW4+M0Sctw3C0twBuHP8Z3qk/HH87+A76x4RtUbekNt90GPPEEfXckik04x9Dhw6gZHcWmzZslOfUPmYfc2q0Ig3OOnske5Cb4v36HDhEfLS4G6RscDlqMCHOkl2sQzpRlw3ADipKLvMo9TCZKYqSmhnircE7R0cxMGkjmDyg+P8ahUqnQ2tqKQte42D3ejd1Vu7G+eL1svSyPpy8/AxAc3wXht6RWl0uWuHNHvlT5IcJuH8T0NBEyrTYKCBlAy7I1a2ip44oYCefRYKDzaPGTuRi3jONHH/yIqqBCRKiEDKBDGBoSIfwHKLxWWUnXXgHYHDY8su8RTM5MSh7krVaKVgotu2TtZSlojARiYjaHXN3xYeuHGDZTGnz+RKNSuQmZUv1WRdteJCa6j3tsjIh5kMjJAXqnKfrVONLom5ABFK0wmyNSYAIAA4ODqBkbI0LGGC3EvLSSqK11jZ0OK3onKcISDYTM5rBh3DIOxlhAQgbQsz9byRwb69bTtbbSAc7r+hAuQiZU65allvnU3w4Oig7s+QdjNKe5uh9g717ykArwrAvH/93vfhc9vT1wOBzoqOnwS8hMJgkddj5D+MyTMoBCvqtW0YApudVlWRndxMEq3f3AU0PGeQz27FGM+0mHTkcpDmEyczhmz6MQNfOV7akfrsfOrp2B0wkBIAchA9ypYiEYFDBLlZhIg5fVSh+Qy9wIwIG+A3j8wOOo7quW/FmtllJ/zc3A5KQCzcWFicdiIfZXVxd0Sm9yZhL3fHQPHt73sN/3tbbSV0laLIlA0D5knZ00QQdZHvpi/dP4bf2NiNfF46Z1N/l/82WX0b9vh1RwHhQWaMisViKI+/cvIKUqFXHVpw8+jctfvBz9U/1h319veOHoC7jkX5eIXvxptT4eZb2eNLT79s0KZ8NFyCZnJnHxvy7Gv+v+7fd9djutm2TdFcaImLa1uTMjfrBu3Tq89tpryM3JhUajwUknnYTCwkJcdtlleOWVV2CZ9/kDB8IvmVwM+MynL73BZguhD7nVKkvOZb6o319FZsTR10ezZ2UlYDBgdJROg6tA0yvMNrP/KEEAyEXIPCFUMs5rYOAbo6PEPo1GihzK1Ly+Z7IHOfHBtUqwWoFduxxobq7BaafFobhYoebiQreHlBSqSgmiIrV9rB0J+gQkG3yToulpqtDKypKvYXRIxrBOJ5HRgQHaqbIy0ZWZTx98Gte/dj1OLzwdd2y6AxeVX+x/ErXbSTCYlwd8+qm0/QwBPntZzswQIZ2YcKfvGZttgLFkRR929n2Ia1ddG7Z99YemkSa81/webj3hVlHvP3KE7rcTTvDyx4kJOnabDU2cYyI+PiwpyzHLGP68+8+4euXVKEst8/m+ujqaGzZvVmAn+vtJZ8YYPYTp6T7f6nA4cOcLd6KzrhOqBhU8Wx16IiMjA6eddi1uuOE6bNmyXvR5/CykL4+TsnmYmaGVeW5uEBmq9nZqx7RunUj1uHf4qrK02WihardTkCoa5GUAKA5dXe2u1vMYyGdm3L92T3SjdawVpxScEtLXKUHIBDQ3U/rvhBNEXsKRERrNDQYiZkEScqvDiraxNr8Drxg4HA68994BjI7mYtOm7FljeEXQ20uDtVD6JZKUjkyPIMUg3l6juZkCVOvXhx6Qls2pv62NfpKSRNmkCITsjKVn4I1r3kBXqxEWC502v3jgAeCOO4iUnXxy8PsrEoGai8PpJPuE3l7S0S5ZApOJslxSrA2iEXV1tM468UQfb7DZ0Pr227ANDKD02mvBokihLlTpb1CKrkxPU55apaJxzguJ8lVlKWBgYAAvvvginn32WezYscPr12zYsAHXXnstrrrqKuR46eH3WSBlx9OX86DXU0autVViKybAvYIIoYTen+2FYEItpAcjJDVZCKFXot1O5MyVa5qYIHuvflc24+8H/o6fbP2Jz7JuMVCSkAFUTbZhgwROnZJCx26xUDw+yHLBJ6ufxJdf/TK6J7qD+jzg1pCVl6di3bpsjI4q4tjiRnY2RclMJlqMiEDXRBcuev4ivFr7quivWbKE7v3m5mB3lCBn6yQUFrpdiAMQsmcOPYPrX7sea7LWINWQCpPVBJ2O+HyAjBBw442k3v7Nb0LbXxEISMgAmpTLy4mBuXR2B4a24x/tP0bPsDKdTqSiZrAGv9/xe5isC/Vv/hAf7z8DUdfcjNHcXJRedZWbkClYHvzs4WfRNSHuubLbFbHMdMNgoAX3ihVu6YaHB5LD4cCrH72KScOkTw1ZRkYGbrvtNmzfvh3d3Rxbt3JMTztRXV2NH/zgB8jLy8O+ffvwve99D7m5uWCMzf5cdtllePnllxU8wOjBcVLmBeXl7lZMU1MSPmg0EmuamQmKNYnxITMa6bmIiYl4S8a5iI+nY7daycXQ6UR8PJ3H+noiaD885Yd4aMtDiNcHF+5QmpABNN4I4+3AgEhunZTkjhQFmc64auVV+PGpPxYlSPaG+aL+khIaQxXvpZ6WRpFhkZWoqYZUXFFxBU4uEB/10WgoKGOxBD8HykrIBGRmEjkBKJLgw9r+9zt/Dw6OppEmVPVW4YnqJ9CNvXBwe2DngdhY4NZbgTfeCKnAIBBEETJPZGXRhXE60XN0O8ZsdUhPio7QfXVfNd5vfV/y53JzqVjJG2Y1ZOvWgQnh2oEB/61XQsCweRgP73s4oE+hgLIykZKLUMCYOxre0kJpm85OOOx27NmzB1vHt+I3h34jyp/OZKK1TEwMw5o1a/Cb3/wGnZ2d4JyDc46ZmRm8+eabuOaaawAAr7zyCi6//HIA8COKOTZwPH3pA0IlG2OUNpEkFxJK+VJTSUEuAsEaw3Ie0daMCzE2RkzW1Z7IZgP+u6MH8eo0bD5BF3Sfs3AQMk9YLKRlSkwkviXpHHNO7EHEdbQ5bNCoNCFpU/xVWdrtFKlUwMViIaxWWowUF8vuicI5/QRz6RUhZPNx5AiJwcvLF+TwBkwDeLf5XXzc9jG2dWxDw3ADAMCoicOqxJNx4ZrP4fTCz2FDzgbvvnQffwycfjrw5pvA+efLvuuSCZknXNfcMTEG9dJiCmtGwYAUqmbVEz5F/VYrrdxHR+mal5bK2u1jyDyEWG0sDNrgpTCKwWYDGhrg6OvDke5uJJ14ItILc9E00oTVmYFy8jRFTE/7lad5xfH05WcYOh3xqfj4IMaYtDR6QEUKLIIlZDYbZcwkG98qiaSkuf0iuQWPdd+Ohxp+GHTKNdyEDCA+VVpK461k/87GRlpFivByeGDPA7j9rdv9uo37QyDbi95e2p3+cBTEcU4X+NChBbn/AdMAbvvPbegYD65qkTG3bZKUVpxhIWQARcySkkiY1No6J4w9YBpAvC4ej17wKOpvr0fP93rw/GXP4+rlX0H/dBd+9OHdOPnxk5H06ySc+dSZuPfje/FR20eYtrn8Gdavp4PfvVv23Q6FkPVO9uLwaD2wdi3U2bmwNbXDVr3QOiJcMNvMs/dXMIRsaAjYsWNuStlvlaVORyu2wkKKlol85gNBkHekGdNEE7LeXukdVUKCVgvHsmU4YDYjQ69HQX8/jNN2UYQMIBmqVEL2WcFxUuYH8fGUKnRF6aUhJ4fIGeBhfrMQobRO0mhoYdbQ4L/FTkRgtwMHD0JbU4f/3fwtfOPELyElRXqkIxKETEB2Nl3Gjg6JmSMhLFVdHTD/XZhUiPK08qD6f4rxIcvLo2hfY6MI/VKo0OspZyp0fPBw/+8c70T7eDtULLRr2NhI2XExFhlhI2QAPYyrV7t9C2trZ1cgr9e/jkerHp1N62THZ+OqlVfhb5c8iG1XH0HXtwfwypWv4Ob1N2N0ehT3fHQPznjyDCT9JgnXvnwtnc+VKyl0KyNCipAB+Nv+v+G2t27DpM0Ee8kybB+tQG/jFBHTCODJ6idx1UtXheR/aLW6JQuibC8YI1K2ejV9WJLexcv3O6y47pXr8Jc9fxH9Gc5JIuLqfBcWCKL+9NWrcWSVEV9r+j2GuThC6nDQeCq3zc2xguPpSxFw8QtkZrqDQKIxNkYfFvzMPCBHL0u7nRZoNlvIRZ+yw97XA019o7tCzUWqHA5xUf5IEjIBTidxK7MZ2LRJQhrbbKbr7nDQgO3R2FkOSDGGnZ4mi6WEhCBSscHtHHmLCOk8130vR/N5s5kq/XJy/GtowkrI5qOzk2adNWsAtRqcc/RN9SE7PjvwZ0E2CJ92fIrHqh7DGw1vYPD7g0j7zt3ASy9ROEeGZyFUQgZQZKpmsAYbciibtHs3EOecwIrV6iCbMIaGkekRfNL+CS5adlFQnx8bo2e9shLo6wvCh8xTbT82Rqt6ielMq8OKpw8+jTVZa2bPayDYbMD27fQ8hEOmML/K8oOWD/Ba3Wu4/7z7oQIjUp6fT4sJL5icJGnQypXuuIVYHE9fHgcAeq4EU86REYkfTkykcs6GhjkpHbmai883bI0Wh+SR6RFcuvUWfBQ/TDlAV/N2s5kW/IEiT9FAyACa/yoqiFtI0hUajRQ10mopajQv1PpY1WP4tCM47ympTv0GA8m8Rkdlb13pHYL7f2EhRmPVeLf5XXDOQyZkAJ3W7Gw6Dl8B6IgSMoAmpLVrMTwzhinzGJjJ5JeQDQzMfR6SYpLwxbIv4pYNtwAAGocbiU2PjsrSFD5UQuZwOuDkThi1xjnEIT4emGQJbkJWV0eC8DAt/FMMKUETMsDNn2prG4IzhhUImdVKKfwg0pk6tQ5fW/c10YQMcEf2FK2+dMGb7cWZRWfigS0PUBR8epru06oqWpx4ufZCU4gochSJKhwnZSLAGFW/x8ZSAEDSc8YY5UDj4+nD4+OyETIBBgPNgYzJai4fEhxOB5YmLUXB0kpiNCMjQFcXYmKI4NbV+Y70RwshExAT49Y/+MlEe/9gZSVdf4/jmLHP4MPWD7GnW3o6KtjWSTk5lGWRujINGq60zgsNr+KnW3+K3prdsnm4FBbS6fTmBh5xQiaAMfzqk1/hK89dCcf+fX5XId3d3nWLmbFUaDZoHnQ7MYdYgSlHhOzJg0/i669/3a15cyE+nlLkVivcVRkdHSFZBInB7q7d+N5/v4fR6dGQtqNWAx0dHZiasoRmDCsIkoVqMZHVmc8dfg4Heg9I/jphIa40KZtPyKZt0/ig5QM4uceC02gkk8fUVIpiHDq0oGTabKbhIZqyOtGEyM94iwTC4l+looiUpDFGraZwVkwMRrdtQ211tWyETEBSkkR/LYWRHpuO+8+7H0XJRRTaWL0ayM+HSkXnUaOh4Nl8XUG0ETJPTE5SlK9bipWYXu9OXXZ2AkND0Gv0eOqSp3D7xtslfX+ovSwLC2l3hErGcOCm9Tfhb6f/HjlDM3M87EKBTkfBKKt1bgAyagiZC19f93V84+Q7oI5LoGhpe7vX92Vl0UQ1v4AhIzYDAKhtUQb9P5RImRyEDACy47JRmlK6QIQuOEVMTYFm3bIyWpCNjxM5UUiJPmAaQN9UH2J1oaVMm5vrYDROYcOGVaE79aek0IAcH08r0Pp6v2+3Oqx47shzeKfpHclfJZAymRqKeIW3CNkbDW/gzvfvRP3QvGPTammQLy+nm7qmZs6fzWbiblFQpBuVOK4pk4iJCcpErlwp3VF/sLMTzbt2ofKCC2QlZJ5wOmn/EhIoOhJutI+146mDT+G7J34XcTovmgKrFejuxmRqIQ5UM8THk/RGpYpuQgYQkTlyhIJ+a9dKlIlxDhw4gK0d23Dypsuhy5YmTpSrubjDQceQlKRYT3UApDdiYO6Je3iYiIleTwQ9xNXDfCuYaCNkc+DZmikzkyYrj/vb4aCqv8xM4jECZuwziPlVDH55xi/xo4zLKFz/z38C10pvYyQXIfMHh4MOMSUFc61vhBZFnFMfIAWebSd3hlREolgvS87dDb0DtNew2C2wOWySfRydTopQxsQo40voy6nfyZ3Y17MPG3M3+v7w9DTtYGzsbKR89z414uIogSAVxzVlx7EACQnBtTgaHBxETUuLm5CZzYqE9IUUZmMjpfbDjYP9B/FJxycLUhuzGB4G2tsR312HZeUcGg2NV9FOyAB3GjsmhuYYSUEfxtCUH4vvtz2GF7Y9LMnHRC5CBlDQVquleSLEQjG/+NOuP+HaV67FjN2VukhNpVSuUJkSYtREmDetVmBgILoI2f277sej+x7F7IJXECYuXUoP5bznXq2mtPLAwNzIn16jR6I+kaoJQ4iUyUXIqnqqZvWB3qBWU1B8wVcIg6ZnGl+GYMCYZQz7emjhHZWEDKAbdelSNyEbH1+QzhyZHoGTOxGjiQnKWFuloshTOAkZ5xwqpvJPyABafAkaw6YmYN8+rC6cQIjD2DGN6Jz9ohyM0eBZUyMulbVAQ+Z0UmWeAr2SBOJgNBJxkME2RxIuLL8Qr139GtJjfZjQZGfTINXfj4zReqxaydHc3IDx8egmZAI0GppbbDa6/lLmlpL0cjx46d9wZfmllM4Q0ZpITkImoLSUiFltrXJtmM4tOReXL78ceo3HDJ2Q4O6NKtN13rt3Gi+/XIvVq6ODkHHOMWYZw/jM+MIJfskSYONGdw7ZQ6CYnU1p2fm2JRmxGRgwD1BoU6ORTMrkjJC9VPMSHt73MGxO34tJi8XHLup07h5GXV2Uyg6xRdEzh57BbW/dFpIFxnxCtnMncQfF0NNDUdO6OsBBBRN3vH0H7nzvzqA3OTYmusuZJPgiZL2Tvbj8xctxsO+gtA1mZQGcw1B3AMaBtihrSRM9CEO9xrEJgZg1NdFiIMVHf2Wvon6VCigpoVn96FG3WE0mCBWZVVXE+9atU1ZvAABHB46CMYaK9IrAxo1LlsyG9Vvb2jCckAatbh3Gx1WIgnk1IOLiKM0kRfQ/bhlHYkwiNhWcBOQ53c19/UAJQgbQvVBeTvdGezsUWbWuy16HddnrFv7BaJzbNXl83H/DQT8wm80YGjqAvLzVsFpD7FQuExhj+NnpP5srfvaEoMbu6KCf5cuBtDQkJRFfm4+M2AzSlKlUVG0igZTJnbL81Zm/Qv9Uv/euAy4MDdGYmJREPMwrdDoK01ZVUQQxyO4PN627CRtyNsxq76TCW4RM8D9WDMuW0YTR3k5p3eXLcO2qaxGrDV4PNzhI5tCS7Zr8wF9z8UnrJBL1iciKk9h9PjERk+UbMF7diuzmNqhHRuj+jxYhdJQgusMSUQwxFZl+qyzT02lmHxmhVZPMq4aYGOJ6dnt4omX3774fP9n6E9+T0XwUFqLF4YClvx8bKleBcxWOHpVY3RhBZGURmWEs8KX7pP0TXPDcBagZdAleVSoKtwmiPy8XSClCJiA1lY5hfsosVDy09yE8Uf2EzxTXHAwOUksKyS0T3Bqy006rQE5OPNraFG6+LgKftH+C3klKSwdMp2VlEUE9cmROAYDTOZcUZMRmuCNBGRmiSZmchGzcMo4Z+wxUTBXQa02wpvKbGs/IoJWiRkMZg85OSfvDOYeTO6HX6LE5b7OkzwrwlbJUqxUmZYLZ7Jo1gMMB1YFqbMk+DZ8r/FzQm7Tb5V10+yNkAFCWWobHL3ocmXHS21AOj2vQxErBVlSQ9uC42n8BjpOyEOCvIlOU7UV2NmkNBgYUMZBKTCRdbZCBCEn4v7P/D78763eitR0NDQ0YSUxE+TXXQGvUY9VKDgYeVV5rYjAxQcas/tzyS1JKsKV0C0pTvLidCs6u9fWz7E5pQja7XyXuDj5ywMmd6JroQvdEtzhtTlraXAd8kaxqvqi/qIjOfyTbjVkdVvzyk1/iDzv/IO4DQveDzEwipTU1sFqc2L59ruQoMzbTTcoyM0X1y5I7QvbrT3+NL7/6ZTicgdmKKFIG0Gp23Tq3dYIEgeMHrR/gS698Kei0pT8NmVodJnKflIRX4jrxH1UTeIiGXTabfHYYgQjZBy0fuHWiQcBspsCYKiuD3LiFubGj47jFvwvH05chQohIHTlC86tWK9EYtqCAwvkZwYXgA0EwROzspEWJnCFugNrn5CbkIkGfgAS9uHLEBaJ+zhHTWosVMTocNJWgttbtuxbt0GpJGlNTQzp2bwQnOz4bPzzlh943YDDQPdDWBtjtcJSVYW9VleKEDHAP5E4nZRFDTR2rmAr3nXmf+D6ejFEeNSaGiInV6u5r5gPeqiyTk+kn3PpJT+jUOjx58ZPSPqRSucPtbW3Q5ZtgMMTPaSCfEZuBIfMQHE4H1BkZVFrtB0pUWV5ecTk6JzqhVgV2p9do6HKK4lgaDT3oExNuNufpiu8DMZoYZMVlIc0o3XQvkKhf8UiZC5xzvN/xEQwaA85XqWgQOXyYBJ8SV9E2mzyRskCErHmkGXe+fye+u/m7uG71dUF9h8nkYRornH+Tica/ri4aD1JTgzuAYwTHI2UyICGBIlIJCUE69Wdl0QBtt4dsDukNnNO419Qkb3+00elRXP/a9bh/1/2iP+O1ypIxICYGSVNdKFW3YHo6ekxwA8FgcNvxNDfP/dvW1q342dafwWwLwBYKC4HiYjj6+nD0X/9CZlqa4oTME+3t5PEYSkHkh60fYshMHSskO/cvWUJam/Fxv93G/dlerFrlv+2SkhAaSGfFZUnX2QBEyjdtAuLjkZEBTAxZZ9P4GbEZ4OB0bgOkL5WyvVifsx4XL7tY9Pvj4iRW9greMqOjwK5dAcfAUwpOwR/O+YPkiksxVZbp6eHhBIwx/GXLX/DzM35OL9hsxAarqylqJEHOIgcpC0TIAKA4pRiPXfAYLl1+aVDfwTktnBZ04IqNpZC9TkfEtKEhPMw4SnGclMkElYoI2datzcjNDdIYtr2dhP8ytFLxBGM05wlNBYQ2F6EiKSYJt2+8XfRD6tf2oqgIyM9Hjr0DGxIbfYuEoxDp6WRm2t0999J1T3ajbbzNrzBagCMnB9XT00hXq7FUIR8pX8jPp0G9ri641M2UdQo///jneHjvw8HvRFYWEROhYmZeDjuQD5lwO5lM4U1/T9umce0r1+KRfY+EtiHXNc9UDQK1tRg4SsREELHP2mKYzV4fYCUI2QtHX8AT1U+I14m6UFxMkinJMBrdZePNzQuISf9UP/5d92/J+wOIt73Iy5M/mzAfQ+YhTNumoWIqt5djXBwRk/R0alVx6JDodN4JJ4S2IBFDyASN6LrsdQtMg8XCYqFL6jVbK6SzCwpIynP4cFDfcSzgOCmTCYODgzh6tAYlJWvR1RUTXERq6VIKXdfWBtFk0z8E/ZtGQ/d7qOl7h9MBxhguXX4pliQFdiEV5UNWXEyu/73dcDa1oK5OMRNw2VFURJfO87p/afWX8PiFjweMHAkaspQVK5C9ZYvys8I8aDQU7TOZfJrO+0WcLg5PX/K05A4FCyCQiZER6m7tMtoTaww7M0PyvI6O0HZDCtQqNb5Y+kVsyt0ky/b0mUlIyopB/94OoKUFGUaylhkwDbhbLc1btCkVITsycAQH+w5KjkgZDF68ysRArycNQG4u6S0OHpwzUL1W9xp+s/03GDRJyyZI9SFTWlP2q22/wvWvXb+QXGo07ka74+OiH0a1OnhNmRhC5uROfP31r+PV2leD+xIXDAbg1FPdLesWQKWigbSy0u1s7Wo/MmAawK+2/Sqk718sOK4pkwFCynLz5k3QavWorqaI1Lp1XkK1/qBSUR6muppWi6tXy6rS1+uJmFVXk7dNsDK2ltEWfOed7+C+M+/DyoyVAd8vyRi2uBhgDI6EVIw10bwsRLajGYzRpVOrgR2dO5Ack4zl6csD6nB8ivpnZkj8X1Ym3ak4CKSm0pzf0UGDpiDxCYSR6RGkGFJQkFgg387ExtIFP3QI5rw87OnsFGUMq9fTvnd3u6N/SkOn1uEbG74h3wa1WhSdUwrW0gx0dCBTR+ncOQay/f2zPiZKOvXfe8a9sDqkr96cTpIHxccHoVNUqSjsk5BAaazBwVmB3c3rb8YXir4gqepPKiGrr6eF1UknSdxvCbi+8nr0TfX5JrvZ2XT8wvWcmaGb2cvYabcTd8vIcLe5EgsxhAygSHiKIcV7hxaJUAeWJc61SGlvB4aHccjQi/82/zfk718MOB4pCxHzNWQhR6Q0GiJjOh3Z8stslREfT1miUOsKcuJzkBMfuI9TUE79RUXQpiWSpcfoJI4ejbzdgRjQapXj/p1/wT3v/S6gLYTfKsuZGdJXHTggX745AEpKaBIVW2DRM9mDi5+/GK/UviLvjrgqE6djYtDwxhtYm5Qk2hh2yRKSo0h0WZAMJ3fil9t+iaMDR2XfdkKSCvHrSoGyMmSY6WL0mxb2v1SKkDWPNGPYTCFfMan3+VCpaC4dGgphJzIzKS+Xmwsnd8I8PgQG0jWJRTBO/SqV8mNNZVYlzi051/+bYmMx2+7k8GEaB7z4Bc3M0L0u1UpILCEDgAR9An539u9wVvFZ0r5kHjo7g4hix8YCFgu+MJSAd874e0jfv1hwnJSFAF+ifiEiZbNRFFoydDoSZaxapUgJohB1GhkJbvIqSi7CI198BCkGH465LoTaOinOMY5l1kMYP9KJxobF4f7MGMOPKx/BFam/xMCA72sX0PYiIYHC+JxTaNOPAF4uaLW0HhAb3U2OScblFZfj5PyTZd8Xs9WK3WYzlp50EhLHxkTP8LGxxF26u5UtFumb6sOOzh1oHZPusSYGk5NAiyUHSSd9HhqVhiJlQgRhYEAxQsY5x88//jluf/t2cV5zPhAbK8NawjWmvn70ZVzy1Bb07NsqWjAYbOskJS0x3m1+F49VPQabQ8KNyRitNATrnHmWKMI9LiUqLIWQVfVUzRL0UNHfTxkaSUhPx0DFEiA5GcY2Ee1zjgGEnZQxxsoZY9UePxOMse8wxlIYY+8xxhpd/yZ7fOYuxlgTY6yeMXZOuPfZGwJVWcbHU0Wmz/x5IMTEuNuxtLaG3JLEGwYGSE8rtuBzf+9+/GXPX0QNKrL0skxMRPrqbCzRdGNwfycs09FNzDrGO+DkTqwsTUBxRg4aGrzbNIj2IYuLIy8rtZr0NWEgZgAN9PX1gVffBq0Bd2y6IygTSX+Y1ZBVViJx40ZanKSJtz8oLKR/lTxdOfE5eOnKl3B+6fmKbH9qiqIKZmcs0o3pGBjrJtsAAFMtLYqlLBlj+OXnf4k7T74zpD6QcXHyBXjLMlfg88VfQLZJRcQkgNA0lF6WSkbKDvUfwqcdn4qyFpmD9HTqghEXR3pjV4smwE3KxMo7pBAyu9OOH2/9MX6x7RfS9tcLfFZeBkDraCsuePkyvBXTiUlKYy8Co6TQEHZSxjmv55xXcs4rAawHYAbwKoAfAviAc14K4APX72CMVQC4GsAKAOcCeIgxJvGulhdibS+E1cvwcAjiY4uFlv0HD8q+9C8ro4BMba04Qf3urt34oPUDv73vAJmbixcVoXBjBk5Ia0VMR0PU9ksbnR7FDa/dgD/v/jMYI72uSoUFqVfJxrAGAxGz1FQfZUvyw+kkwu7LEmvYPIxvvfUttI21yf7dXkX9gkeB2UzNzAOwRaORNEFKWRtU9VTByZ0wao3yN7B2IS0NsDot+Oabt6N3qhfJcWnA228DAIY7OrDphBNkJ2SC8LwgsQCVWZUhbSs2loYrOdaSFekVuHPLfWDr1tHzf+CAT6fgUJuLC8OVEsTsf0/6Xzx2wWPBNU+PiaHIeWEhsV3XsUmJlEkhZABZ2zz2xcfwnc3fkb6/82Cx0DmVOoSlGlNxw5obcFL+SchZtw4AxOevFykinb48E0Az57wdwEUABPfFJwFc7Pr/RQCe55zPcM5bATQBCNCaXjkE40M2OEhVzkE5XRgMlAu1WKhMWsZ6f5WKNq3TkfltoAH01hNuxdOXPO23t6WshMwFVlwEfWkB0NuLrqPjft3zIwXBHuSSZZcAoCDn8uVzKxqDdurX64nlaTQ0sslpNufj64qLqcjC29zXMd6BlrEWMJkXrQGrLO12ImT79wcMgwmCYrnbdh0ZOIJvvPkNvFb3mrwbnofOqRbccehEPF3/IL67+bv41cE04A9/wNBJJyH7uuugr6mRPXr+y22/xG+3/zaktKWA2FjiDaE8qx3jHXh478OYtrkuYkICRYwSE73qQkIlZMJXFMhYswJQmyqhYjRGE0LRjtCiae3aWV9Le3c/wHnA6kuphEy4B/IT81GYVBj8PrsgZAykRsoS9Am49YRbkRSThCkyvxPnUL6IweR4AIP+csYeB7Cfc/4XxtgY5zzJ42+jnPNkxthfAOzinD/jev3vAN7mnL/kZXs3A7gZANLScte/+OIzsu6v3W6HxWJBbGyspIfe6QSam+NgNqtRUjKF2Fjpxnia8XHEtrbCERuLqaIikWUs4jA9rUJjYzwyMizIylo40NdO1CJdn440vf8U0szMDBwOB4wKRXQcY9Oo6cyCTudEScmknKcgJDi50+fqd2xMi/h4G9RqwGQyQavVQhdCKam+rw+Gvj5MZ2djJlPetKEnOKd7dnpajWXLJqDVzh0nHNwBtYwBa6fTCbPZDIPBALWfC6uyWBDb0gKVzQbzkiWw+Wlm3dcXg4EBPSoqJqDRyDPOObkT+0b3oTKpEjqVMiXBJrsJt+6/FaPWMVyt/yVuGZ/E+l/9GN2nnorGn/4UWpMJxvZ2zGRkwJIVhFmtF3DO8VL3S9AyLS7OvViG7dFPKOuy9/vfxxu9b+AXK36BBK3HXOyxcdX0NMAYzKB7SKmxJxQ81/Ecdo3swq9X/RoGtXzNt/WDgzB0d2MmNh6WwgJwP+EyqWPPi10vYsYxg+sKrpMlGjwyokV3twEVFZNQq8U9i2/0vIGViSuxNJYWsJdffjmGh4fBOT+mU5gRI2WMMR2AHgArOOf9fkjZgwB2ziNlb3HOX/a3/fLyDfyTT/bJ1r0oKKd+D9hsQFUVEbR164J0ORgYILHPmjVuF2yZMD1NQbn5cDgduORflyAvIQ8Pnf+Qz88rESHzhpER4PDOKaSzIVSctyTivZgGTAO4/a3bcfepd/tM+TgcDuzatRepqZlYtixEp36nkzQlAwPk+1BUpNg5MJtJwpORQebDEzMT2NW1C2cVnSVr2k6sD9ksbDYK7Y6PU6jXh97MbAb27CGdtBwNEvyRb7nAOceVL12JV2tfxbvXfYjkqmys/tp6mHNzoNu9G3rBImd6mgYRxuTrsxOFECxXfOLAAbQfPYrxrCysOvPMkO9LoSG8RiPfY9U90Y2q3ipcWH6hPBv0RE8PtWpRq+khnZezlxohE/DA7gcwbZ/GD07+gdx7LApjljFc8eIVuGblNbhx7Y0AgNNOOw2ffPLJMU/KIpm+PA8UJRPKSfoZY9kA4PpXSPZ1Acj3+FweiMz5hVpNc5ccYt9QCRlAY+aqVfTQi+gp7B0ZGe5+TjJDIGRmM0nYBKhVajz6xUfxo1N/5POz4SJkABm+L02dwEDDGDo+kN8yRCqmrFMwao1INXgXMAkpy7GxfJhMS0PXqgj9EgWDzbo6xc6B0UhfJRCal2pewo8//DE6J+Tzm5BMyAB6mNasoVROiu8J22h0+5aFmvXvGO/Axc9fjEP9h0LbUAD8adef8FLNS/j1F36Nz2dvwKp7LoJTxaB7/XU3IQPogRUImdDQPsiba1v7NjQON8p0BG50dxNfkAq7047+KRokA1V416vVMKtUWKVWgzU2hiwGGxoCtm+XN+2dm5CrDCED0G7LQVfWBtIcHD5MJM2FYAkZAHxr07fw/ZO+L/fuikZSTBL+ffW/ce2qa2dfKykpidj+hBORJGXXAHjO4/fXAVzv+v/1AP7t8frVjDE9Y2wpgFIAewJt3GAgrVRXV2g7KQchExAbS5IIic/HXAgr4p4eRSbknh6yR+vvpxUeQA21cxNyvb4/nIRMQMHmHGSszEDrERMsB2ojamJWlFyEf1z0D+Qn5i/4m6eGbNOmXLI5aJHhSxkjg82lSyl0qKDILj3d7WF5/Zob8NcL/iqbUWxQhEyASkWkTOgZW1/vtRCmoID+3BNwGecfVocV2XHZorz5gsUn7Z/g++99H5cuvxT/s/l7mL7hBqjr6sCfeQbakjLvH9JoqEVVby9Zp0jUmTm5E3/a9Sf8cdcfQz+AeTCZgL4+6Z978eiLuORfl6Bj3H91VF1dHUx2O5ZdfTWY0J7nwIGQ2pUI0TE5hpT9vftxz0f3YGJGuTLgwUFgdMboblHkipQFS8g6xjtmCbpc0XDOSQYq9l6YnJkE5xxGrXGOBu84KVMQjDEjgLMAeLpO/hrAWYyxRtfffg0AnPOjAF4AUAPgHQC3cc4DirIYo2KVZcuC3085CZkAYTMmU4jtYGw2ussb5V3hFhWRHdJH1W249Pkr8MLRF3y+NxKETED5GTlYc1YGYiYGFpY4hgF9U314rOoxWB1Wr4PXfFF/Whp1T+rqCtFU0xNLlgAbN7rDnAo18TVbLdhVZUZ7mwprsoJpauhlm6EQsvmYmKBVhBeDzfh4CqYFHZ12oSSlBI9e8CjSjOKtOaSgb6oPV710FYqSi/D4hY9j8ve/h+HFF2G7+0fYn36B78UlY0TOV6ygQaWqSlJ6QMVUeOLiJ/Dj034sz4F4IDaWCLFUjnR64em4ad1NyE9YuNARMEfUr1JRZcrKlbRoDbbnENwaODnWui2jLTjYfxB6tXK9bG02lx2G0KJIr4fDbsfh555DvkolOUL26L5H8Y03vwGLXb6FnuCDLeaccs7xvf9+D3e+f+eCvx0nZQqCc27mnKdyzsc9XhvmnJ/JOS91/Tvi8bdfcc6LOeflnPO3xX5PTAzdqzYbWfxIedCUIGSe6O+nqEnQK/glS9zNW5ubZdsvlYrG97yEPJyZ/HWckvMFr++LJCEDKD2dtCIXKC3F6JQWDmd4ZQYftn6Ipw89jSHzQoblq8qyqIishurrZSycEyKn7e00ISvgZ/do1cO4e//VaGwzy+I9JSshA4h1rVlDD/r+/Qsq88rLqVVXMJicmcTjBx7HjF3+8yrA7rTj6peuxphlDC9f+TIcH+1E3I9+BOfZZ0N378+h04nwEkxPp2iJWi16tTdlnQLnHAn6BEUigILmXuo9kx2fja+u/arPSI3PKsu0NHI/9hz0JS7W5LTEuLzicrxw+QvQa5QjZVbrXDmhw+HAnl27kJGejrzpaUppSrBSuvOUO/Hbs34bWpXoPAjXX0wNBgfHeaXn4fTC0xf8rbj4mHfDABB5S4ywYGiIns9WkebbShMygBa3KSkU6HL1XZaOoiK3tiiYTtI+oNY4sXaNBluyb8TkwEJNR6QJmSdm0nJxyLoMtXUMfMaqWLRoPq5ddS1evvLlBZOZP9sLlYqcLWJjFZCBJSbSCL1/v+xtmc5YegauWXsx4vRG1NeHtu+yEzIBiYlESrRa8vTzsA3R6+ncC0V7UvBx+8d4ZN8jaB+X7/maj7s/uBsft3+Mxy54DFkjGhhvuAEsOxuqZ58FVCqkpZGPYMAsdWwsnQMhPWCz+WQXTu7EHW/fgZ999DN5D8YDwiTszUDZGxqHG/GTD3+CkekRn+8RbXshDPrV1ZLS+3KkL60OKxqGyeRPq1auAMNup/tZIGWzKcv8fOSccw5JHEZHgb17SebgB0LBX4I+ARtyNsi6n8JwJMYOQ8VUuHT5pdhSumXB3wRSxpQyB4wSfCZIWXY2/XR0BE5jhIOQAZg1GDUaKfsmduBagJIS0pTIdJ9W9VTh6peuxoi9C5WV9Fx7IpoIGUATblERMDTI0fHfWloZKkjM+qf60TNJ4c2M2LmlvWJ8yIxGSqvLfmslJbnbMh04EGR/L++ozKrETRtuRHExpSGC0QkBChIyAYLRblrago7qViuwe7f0ff9i2RfxylWvoCzVh6YrRLxS+wp+t+N3uHXDrTg7/Uyor78e+tFRsJdfntUHCcWlouzphPQd51ShevCgz/zhuSXn4pSCU2Q6koXQ66X5UjUMN6Cqtwoalff0oyQfsuxsd0p33z7R3n4GAy2YQ3k+X6p5Cde9ch1aRuUQkPqG3U6XW6fzoSHLzXUvVBoa/DLNnV078c3/fNNr5D9UmM20j4Gyyvt69uH9lvdnTYznI8ltfxNsn5xFgcjPqmFCaSnNW/X1vuercBEyARoNVWSqVCHoyxijlbHgeCiD639yTDJSDamIi3PrqPv6oo+QCcjPBzKzGFodBRjpNNFEJKPJrid+u/23+NrrX4PVMXeik2oMa7cDNTWycid3WyatloyGQ7wXnjr4FB4/8PjsKjori54hz+pcsVCckAnQamm1I7Qo6+wEnM7ZSaGzU1y0zOF0zFYA5iXkKbKrDcMNuOG1G7AxdyPuWncXpu++Gyl794I98ABVBLlgNNKPJC0iYzQpT00RKZl3o6mYCleuuBJnF58t09F4h6unuCicX3Y+Xrv6NSToF1aXB2UMK7QniomhxZqPLgCe0OtJGeLNHkgsLiy/ED857ScoSi4KfiMiEBMDnHwykJbmR9QfF0e5eyGt63R6jQBMWadgtpmRqE9c8LdQodeL65L2cs3LeHDvgz5JmQeOaXFZRM1jlcSGDRv4vn375rwmSE60WlpAeCLchMwTZrNb/xYSTCaKkgjRM5nQ3g5s29aJ9PRhnH326qgiZAIcDjp0S98YNsYcgi45lgYimf2beid70TzaPCfCEIxTv91OcyVA80YI2uSFsNloEpbQL3I+OOf46dafwsEduO/M+2Zfn5mhfZVi3Bs2QjYfY2OUvkpIAFauxMCYDjU1fq3NZvHs4Wfx0N6H8Nxlz3mtrA0VFrsFG/+6ET2TPXj3snehffl9rPzhD8Guvx54/PEFke/BQRofJLeOMpkoYmax0LiQm4unDj6FouQiRaNkUmB1WNE00oSK9Aqvfw/Zqd/ppFRmXl7AJpFOp1unFS3m1P4gucqyrY0iAIL0xeN8cs4VaxsmBk7uRN9Un0994+23344HH3xQ6d3gnPOITnCfKVIGUHGWRjN3ro4kIfOEUFCZH+wc4HTSADwyQtECCc65H7R8gOHpYVxRccWCB7O+vgFVVTbk5CzH2rUqJMq/mJIFFgtlKXINI3Qe0tLoPMgAq8MKnXrhgB506yRQKvDAAVrQy7SbCzE0RBNzkD4sNofNqy5GmLwCPS4RI2QChoaouatGA75yFXYfjYNeTwFFf+ib6sNbjW/hq5W+Beeh4Hv//R7+uOuPeHbLsyhqUWHjrbeSrcOOHfL3OLXb6RyYzbCtXYMvvX491mSuwd2n3i3v93jBwADxgA0bfC86nz38LP6w8w944YoXFkSX5GidNAecU4g6K8srwzWZSIIlcfgEAHRNdOG+T+7DD0/5oWy2Mf7Q3+/A++8fxubNySguFvl8W62ULhoeBlJSYC8rwd7Bg9ict1mR+5zzwMoaJ3fC4XQE1N+9++67OOeccwBqtSi/sR7hPACf55xvVWj7ASHn+nxRQAhLc06Fi1rtIGprI0/IABrAmptpwgtqDhVKJw8fpkFYpRIdLfmw9UN0T3bjsuWXzWmf09DQgMnJCVx++TocOKDCkSMUDY/wqfKKmBghVZKCmWVroE+Sp6WJkzvxrbe+heKU4jkO16EQMoACOIWFVICSkiJrcNONkRG60WdmKIcvYuDd0bkDZallSDOm+RwohaKu9et9bzLihAyg+3/tWuDwYbDqA8hLWomm4WRMTPj3YM6Ky5p1EpcbH7R8gD/u+iNuXHkj8sbScMJvfwjmdAIvveSXkJlMtKiUHADVaCg8aLNBq9PhmYuegm0mWBGrdJjNtN++9GUXL7sYCfoE5QkZQDetxUI3cH4+Ccg82KLwNcHEKromutA10eW3N7BccDgc2L79INTqHBQVSRg4dDrSzLg6Abzzzl9wT+9zeOziv2Nd9rrAn5eIkRGy06ys9H3932l6B4/sewSPfvFRZMdn+9zW2WfPptr3cs6v9fnGEMAY4wD+AaBQie2LQfTloeRCAGuA4WFg794xvPdeS1QQMoAIRWYmTdJBNS8HKOa+ahUZNB09Ktqz6Jef/yX+fN6foVbNJWSChkynU2HVKhqsGhqC3LcwwWwG9tQnorNfRzvc2BiSwSrnHGuz12JZmtv0LlRCJqCggHRaUi1bRKOszG2dIsLPbcY+g59u/Sl+v+P3ft+XnU1yJV+WLlFByAQIupr4eGTnqbFyJT0e3vBpx6f4yYc/wZR1SpFdGZ0exfWvXY/SpFJclXIVTvrXv6Davx946ilKL/pBRweCr35lDG3mHtiddmjbOmA8WBNC2bd4eHYK8QbBJPSLZV+c87oihAwgUrJ2rbtqfV51Zig+ZZvzNuO1q19TzMtOgJCyTEnJRH5+VnA1Xjk5wIYNODfvdPz6tHuxNitA6DhImEzEg/V+XEGy4rJQmVWJzDjRvXyV1JT9FUAo9u4h49glZVarXzt/zgdhMtUjPX0tRkYiT8gElJdTdX9ILaLUatJTFRQsqEKbj+0d2zExMwHG2ByBrTdRv9FIfK+8PMj9ChOMRoo8tbQAoz3TbmPRIEtc1So1btlwy2yrFLkIGUAr8+XLSeOomJyjqIiiZENDVAThh5jpNXo8ftHj+M7m7/jdZEYGkJxMC4j5xX1RRcgE6HRAZSXUyQlISwPY0KDX89A90Y2WsRbFDD+/+dY30W/qx/dLvo8zmtqh/vvfgbvuAi4M3IYnNZUmuGDGBavDim/+55v46dafEiERikE65WuZ5Q1C4M9b26KawRrc9MZNs9XMAhQjZAJUKnoeVqygMeHo0dk/BRMp45xjb/decM4V743qqSFLT88NTTJrNEKzYSO+sOICOs9tbeS9IiNMJiJk/jSz67LX4d4z7pVy7pQ0LPshADDGQrCdDw3HLinTaKjxmpeQk6Ahu/TSNcjO1oXmFSYzVCrKNOh0wfWNm4VG4w7N+xjJJ2cmcdcHd+FPu/4053V/VZaJie7CNpFV5hHBsmU0IdS0GWFZVkkTcHU1hXdEwsmduO+T+1A7WDv7mpyETIBeT9ebc5mrMT2Rm0uTUEKCT3GP0A6mILFA1Kq1tJQKLDz9/6KSkM3H1BTaP2hC61u1CypUr1p5FZ66+ClF/KWePfwsnj/yPG5YcgOuz6iE9o47gM9/Hrj3XlGfT0kh0hDAcsordGod7jrlLly36jp6MNavpzxoczOREoVsZNRqure9kbKR6ZEFFX+KEzJPpKfTeRBWmU4nmKvyTwop29G5A7f+51ZsbVNWhjRf1D/r5h8EJmcmceO/b8SB3gP0gs1G1an791Nll0xhe7PZd9rS5rDhxaMvSu0e4ADgvyFqCPAwrX9Eqe8IhGOXlBkMxCDmWWF7ivoNhphZr7C6uoi2UJwDrZYCXStXyrTBhgaKkMyb8eP18Xjsgsdw+8bbPd4qzvait5dkGcF6VikNtZo4iNMJHG2Pg3PNWprRqqtFhxr6pvrwSccnaBohdqwEIfOEkE1RjJilp1M7GoCWsB4EdWR6BJf+61I8e/hZ0ZszGqmgzWQSKu0XASEDgLg4TOeXoavVBvvuKsBkQttYG44OUMTEM4UvFzrGO3Drm7diZcJK/Omse6C75hoKfT33nOjSW42GOHUwpAwATl1yKlZkrKBfhAekuJhWpCH0iwyEtDTvFhOnFJyCf176T8TqaNYOKyETYDC4swktLVAf3I/SvGlJxUyb8zbj3jPuxeeWfE6ZfYT3KkuNJviakAHTAKasU7PnHlot+ZdkZNAqy0vLMqngnMYGX/u4o3MHfrP9N25iKA7KtdZw4z0Ayl3MADi2qy937aLBx/WA+6qytFioQClApi8iEAoScnJCSG9Zre5mxWvWAAkJ6J/qXxANkeJDxjllP8bHaZPRWpE5NEQRvdJSQGW1UFVmeblvUdE8mG1mGDQGOJ1ORQkZQMGKffvo3MpukzEfBw4QKVuxAkhJgcVuwaP7HsUF5RdI8ldyOum+nJ5eJITMhakpYN82M4osNShIn8adYy+iarQG/7n2P7K3xXFyJ07926k40H8AVV/bh+Xf+CHw9tvAtm3AiSdK2lZ7O/2cdJL4++MnH/4E63PW4+JlF3t/g93u3ligCggZYLFbsKNzB84oPGOWfEWEkM3H8LB7dV5WRgLfKECwzcUDwacFxsAALeTVamDTpqC9mhwOyogmJ1OU1xtqB2uxLG2Z6GvOGBsFkMw5V+wmYYwVgyo80znn8rvpBsCxGykDaKBhDLBaMfLRR6g7cMCrqD8mxk3IBr1LTSKGkRHSqYeUytTpiDnpdMChQ6hu3o6Lnr8IH7d9PPsWqcawQkcCvd5tgxSNSEsjDqZSAVwfMyv4BuBzJejkTnzQ8gGc3Amj1hgWQgbQGLhsGXHnkK63GFRUUJTAFe6M0cTg25u/LdnwUqUiQrZjx14sXbo4CBlAz3tyrhHdqavBDUb8dO138Idz/qBIn8J737sXO3p24I9n/xHLn3wdeOMN4A9/kEzIAMpCn3yyeEI2bZvG8PSw/8IFYWMDA5S+am5WqOqE8Hr96/jBez9A3VAdgCghZACQmgq+fgNM6gTYDtcRQfOT1p2yTuHGf9+I/b37FdslJQjZgd4DsDlsvs91RgZFzZYtcxOyIIyo1WoKxHojZIJB7PL05VKvueJRJM650Ez6/5T+Lm84tkmZC4O9vWg/cgQbY2IQ44dwTE2RvKK+Pow7FwCpqVS53d0dnJP6LPR6qkvWaFA6TL0bT8g9AUDwTv1aLWYrMmtqQti3MMBspijU5JRrAOjvB/bs8drp+cPWD3Hn+3diZ+dOxVOW85GYSPUZfX0imlCHAtf9YIrT4/v/+Q5ajnwS1GaElGVMzFp0dyeHq/WoLMjLAyYdTvTnVSI2rwirM1dT6FfGVdnW2q24b9d9uLD0Qtw8WQL86EfANdcAt98e+MNeINW416A14MEtD+LaVSIcBNLS3FWJftozScXwMPDJJ+4eiJdXXI4HtzyI5enLo4eQueDU6rF3ZjX6DEvpAfRTxT9oGoTJZoJBI4/1znz4I2QzM8SfpaayB0wDuPU/t+Kxqsf8v1GvpxAXQBPP3r2SRcRWH62ILXYLrnjxCrzV+Jao7dhsNnz7298W7g/F9GTz0Ajg+jB91xwc86RscHAQNW1tWH7lldADfnsjxsWRNr6/X9b+3iGjqIjGy6am4PUkAAC9Hs41qxFbeQLu2HQHjFpjyK2TjEbKgAWo5o84tFq67EePuhZ9qakUMaupWSCMO3PpmfjTuX/CppxNYSVkAgoLabHqr4xcFmg0aM+LwyFbF0wjfZKjI54astWrE2C1UrpisSAlBfjP2G/xo5230crdaiUyIhMhaexsxFfe+ApSjan42/qfgV19NUUfHnsspFJboYg20OXa2blztrJaVGWbUJW4fDmlMauqQigBd0N49iwWal+lYipsytsUdYRsFoyB5xcAmze7BVFeKsGWJi/F85c9j+Xpy2XfhUARspkZujRSA5rpxnT84Zw/4MoVV4r/UFISZVkOH6a0psiVV3Mzcbn5mLJOoSipyKdzvycyMzOh0+nw5z//GevXrweA1kCfkQlfDdP3LMAxTcrmaMgyMog9TE1Rvs3HanjJEhm8wmSGYJsQGxtaQcL7Le/jlve/gzGnGeAcre++i6n+/pB7WSYnu2UoEoobwwqtli6/1Uq+ulytoZRuUhKd1O5uOLkTkzOTYIzhxNwTsW/fvrATMsCdGlZY2gMAqMhciTe+/gFWnXwpfbHNJmrQnS/qT0gg89uurpD1wWEDY8CZKypxcuFGIi06HT1ok5NESEKwB+jt68VXXvsK+mb68MKFTyH9mq/TuX311ZDFq04ncQR/u2eymnDn+3fiDzv/IP0LMjPJo0VofBsiBLXI/u5DuORfl6BppClqCdmcXRH8JkZGiAXPruiI8FodVkX2XUzKUsgmSrXEYIzhpPyTkB4road3bCzdD/n5JHDet08UWfcl8k8zpuF3Z/8OlVmVAbeRm5uLp556CpxzuDr0yOvZ4QOc8+0AlLDzDohjlpTZ7faFov7UVBIYzcz4HWw8vcIULEqSBMETVmhgHgyc3AmNSoM4XRwajx6FpasLlQBUMs2ig4P0vEYLmZ2P+HgKBIyMuCKhwklNSwMaG/HcvidwxYtXoHeiNyIRsvlwOik66sugNRRYHVZ80PIBOOfQafTunNjRo1QU4ufG91VlKTiwtLTIv79K4cLyC3F1+Y3o73e9kJ7ubox74EBQN/PAwADufOdO7BrZhT+fez9O/fkTdE6ffZYE5CFCOOX+bHxidbH424V/wy0bbgnuS+LigI0b3YKgoaGgbTN0Orq9bFYVliQuwWTPZFQSMk/MiUAlJ5M4amgI2LcPnV1Hccc7d+Cpg0/J/r1iNWTC4ynFEuMXH/8CL9e8HNyOqVR0Dior6eQEuBc4926HsbtrN4bN4tOg+/fvx5e//GXPl2wAwBgTV6kVAjjn/YHfJT+OWVI2PT3t3ak/K4tK2wRjKC8QvMJWrAjeB0YJ6PVujXowBQlnF5+NB7c8iJamFoxbLCi/8kqo1GpaBQqCjxCQmuomszJ7EMqG7Gy6BUZHXZdfaE21ejXWLz0JZxedjbajbREnZACt2k0mSgPIHX16vf513Pn+nagZnCcGzM+n0XT/fq9mu/5sL/R60sMB0VUs4w2v1L4yS0q7u0lHOqtl9ugAIPVGHhgYwD8+/Qeebn8aX1/7ddyyF0TGfvlLYMsWWfZdq6Vd9EXK7E5acJalliErLoTFvkCYZmYozV9VFfQ4ERMDFMSsxG1Ft4FbeVQTsgVgjJ4LV/Qwv3kID6z7sbQUoAhIEfVLJWVWhxUDpgGMz4Tot5OURGRdePZ7erzeE9PTNAZ4kjKrw4ofb/0xfrP9N0F9tWnu90gI9S0uHLOkLC4uznfrJJWKZuTa2rnOlx7Qat39asfHZYniywaTiQIadXXiNAWv178+W2nZ2Njo1pDFxdHKByBiFqTjvQBP49sjRwJ2uooYysooczk7JzAGpKSgNLkUp06tRJ7ZjKWFhZHcxdndWraM/hV7rcXi0uWX4oHzHnD7VglITaV7wukkYjY2NvsnMT5kS5YQxw0hG644OOf4T8N/8FbjW2CMITeXDre31+NNQsVykasa1WQKGB0YGBhAXV0djNmUs7l21bVg27fTSuCuu2Q9hpQUGpfm75LdacdXXv2KvFEcvZ6ME+12uickRg/NNjN2mZ5F32BN1EfIhGfOS69yID4efN06ICMDm5ecPKcDSqiQWmWp1RI/Evuc6dQ6PLDlAdxQeUNI+wnA/aWC50VVFRWHeAxQAn/yJGU6tQ6PX/j4HF9MsTCZTNizZ4/waz7nfBHF46UhiofO0BDwoWeMYurt7X7LGq1W8uM6elTRKnFJiI2luWJgILCw2smd+Hfdv/Fy7cuor69fKOo3GmkSVquDKnueD62WiJndTsQsWs6ZJ1Qqd6OD5mbgmYPP4i+7/4Lde3Yjy2hEvlpNkYEoCPfo9ZRyHR+XpyOOkzthtpmhYiqcmO/DkiE+nqICOh0JezmXbAxrNkdPl4z5YIzhsQsew89O/xkAegSSk2nRP+d+ValonHA6aRDYv99nyFIgZJs2bcLXNnwN6cZ0igjk5VHVmswPQkoK/cx/ZK0OK1akr8CSRJnb9yUlUfQwLo6eDQmeLR+1fYRHD92HEXYkqgkZQJc7K8u77M/Jnbj1v9/C66pGd1f4nh5Ka4aAYGwvcnLc6+lAaBtrm+3WIWsbKLWask4pKTSQHjw4640UF0fFX/M1ZfmJ+ShILJD0NQIhW7uW+nNyzn33TzwGcMySMlEoK5vVE7lFJXOh09HNNTpKb4sWFBTQAry93eeuA6CH8JEvPoIbCm7A5OSkd1G/0UghacEBNsSwYFwc6aXz8hTs5ygDJiaI6BxobseO2h3IysxC/imnkHZicJBYZRR4PGRmktSpoyP0iO1zh5/DVS9dhZHpAGW8MTFEzFatgnl6Gnt275ZkDFtfH9DmKSJoGW2B1WGFWqWeE+nIzaX5xGvVv0rlNpCbFz0E5hIyvV4Po9aI/znxf/Df5v9ib7arqlNmf5OkJJJDzk8GGLVG/Oi0H+FzhQoYkgu2Onl5kkqDixxF+NXaX+GSk68AEMUDggvj496j/FPWKejUOndfVM6pcvvIEZocgljEKWUMK4Bzjp999DN8481vQBGjeJ2OVuHl5e4CGYcDBgPdJoJU9bGqx/Crbb+a9ScTC09ClpSUJP/+RyE+26RMKHMTKvB8+LBkZxMJ6unx2+M87CgtpV2vr/c+iOzo3AGrw4rW5lY4p53+qywF9tTbS/5dIaYy09LchtjRUiwxH6mpQG6uA8V9F+H2Zb9AkZCqys+nQWZ0lFZ/UcAsysqII4Xq8r8iYwVOX3I6kmNEkCuNBmbOaVCMjUXywIDoiE9REd2T0fS82Bw23PH2Hfjh+z9c8LfUVFqb+DRBTk6mSJFWS/eEK7o+n5AJuPWEW5EUk4T74PJ/U6jxtydJf+HoC+gY71Dke2bBGK1S8/Pp95ERvz49+4/sh9lsxknLLsT27UwO6ariOHBgXirbhQR9Av583p9xdvHZ9AJjbpLa3S1ZcxcKITtwwKfyZg4YY/jJaT/Bdzd/V9kIZXY2Gc6WlgJqNUZHgRmT++a0O+2wOW2SInWfRUIGfNZJGeAWQiUl+Z3xli6laEVTkyzWPbJA2HXBWd8TPZM9+M4738F979wnzYdM8GGorg6ZmAEUVNi1Kzqbl7/b9C5qu97CkiWJcNiK546n2dl0YmNjo0IgpdW6UwGhXJbKrEr8z0n/I2qA9kxZJqanuxueigjXJSa6o3vRQsq1ai1++rmf4sa1Ny74G2M0p+Tl+dmAwUDMODUVGB7GQH+/V0IG0AT+7U3fxmvju3E4A4qQsp4e4NNPKYU5bhnHQ3sfwmt1r8n+PX7R0UGp3ba2BYT91Z2v4qatN0GVrUJMDN1v0dr5IxD2dO/BmGUMwDxpjEpFJHXVKrrR9+8XJQMJNUI2NSU+MFeSUoKNuRslf4dkxMQAGRmU7d82hp63qmcjxN884Zv42ed+JnpTn1VCBhwnZQSNZm4DRy+TjiAALSsLj3+UWGg0bnmDZ0FCTnwOvr/i+zgz9UxpPmSxsXQuAFmIWXw8kYmaGlk4nmyYskzhx+/8GO+O/hdnnZULtdqLTCY9nSJmjNFsEgUGXIK5tlQ/uLcb38bjBx6Hwyku6rdAQ7Z0qTt6eOCAqNl16VKaOKLBiFlI3WzM3YiVGSu9vkeYa/2SSI0GWLECA+npqKuvx6bKSuh9ENw7Nt2BOG0s7jsVipAyQfc0NgYkxiTipStfwtfXfV327/GLVatIhNXWRuTMdfLq6uqgd+pxwaoLUJ5WPrtojNbiH3+Ysc/gh+//EL/51E/VYGoqsfqyMrd5mA/WFCohs9speB+o8vLtxrfxu+2/w4w9vCd9ehrgOj1ik7QYqd6Jpj3vAHa76EidL0L26quvAkAFYyxcrv4RwXFSNh89PT7Td2o1CSwBuvGiaYCx2dwFCcPmETQ0NGCpbilO3niydGPY2Fi3irS6OiQhk2AFplaLDrIoDofDgSPVR/DAGQ/g3vPuhU5H+7jcnzF3TY27iXcEkZFBY75UE+EDfQewvWO75AjZHA1ZdjZV4c3MiLKUNxrn6koiBSd34tvvfBuv1L4S8L2CC7m/czswOIi6xkaKkLW2+nS+TzGk4LYTbsO/VgL1XQdDOQSviI+nc9vaR+nDNGMajFovbp1KQmjYWl5Oq8KqKulSSgIAAGWiSURBVNQdOgSz2YzzTjoP95x+DwxaA7RaCiotxkiZXqPH3y78G755wjf9v1Gnc2s2RkeB3bsX6A/l0JCJtcPonOhEzVANdOrw+jqZTAAMBhg3r8Yz9ipc9+n3MLz9fVGVP/4iZK7fDQCGGWNmxpi0Rr2LBBEhZYyx7zLGjjLGjjDGnmOMxTDGUhhj7zHGGl3/Jnu8/y7GWBNjrJ4xdo6iO5eURJPNoUM+WZfwZz8dm8IOrZbS+R+1bsNpj5yN/V37Q3PqF6oyCwtDFjLp9WSTYLFEvorV4XDgrU/eQmZmJjat2IQUAy264uPd1nVe09NCxKy6miafCEGrpcX41BRljsTi7lPvxl+2/CWgpiNglWVyMrB2Le2ECIJXXOx2lYgUpm3T0Kg00KgC38fJybTA8VVQt0BDVlLivi/mtetyOOwo6BgDZ8DD1u0yHMlcMAZojJP41sdX4dF9j8q+fUnIzgbWrUPz1BSGLZP4eOZjjFrckzBjNA5E00JWDIQIa1FyEfIT88V/UKslwlpdTW7KnMsm6hdLym5efzP+esFfw17tajLR9TbGMtzw+f/B/zvnt0g1pATUMQRKWZ5xxhkAUAXgChA5a2aMccZYGHKz4UPYSRljLBfAHQA2cM5XAlADuBrADwF8wDkvBfCB63cwxipcf18B4FwADzHGlFt7G41uT56DB73qAxgjAmQyUQAlWmwfsrKAXL0By/B5nFB0SUitkwDQuRBCg+PjIRnMJibSPB5ih5mQ4HA48Pq213FPzT3Ya/bSlA0knq2u9uIZGhtLZESno/sipCakoUEoomhvD+xterj/MAZNpOswaP03ThZtexEbO7dZsR9LGQGB2gIpiVhdLP5wzh9wQdkFAd+bnEzSGG9dFLyK+mNjqQBAcE1uaoLdbsU/n/kBVt0Zj9u6HsOycS0uPf1WmY+KkJGqx+lp1+LEXAWqLSWirqsL46mpcGY68a/Dz6Hn4KdzQuMFBRTpjXasWEHKBQD42Uc/w593/1n6RgQD4uxsoKMDjn37sO+TT2SpslSraQzwZcNptplnCz7ELETkhslE8kuVirSVn1/xRbLOEKKIAwMLFrZSNGSc85c45wzAya6XdrvI2cVyH0skEKn0pQaAgTGmAWAE0APgIgBPuv7+JICLXf+/CMDznPMZznkrgCYAyjLj+HhS0FssFBLzkstISSFiNjxMKY9Ig3OOhoYGLEljuOesX6OzTS9fQQLnVOJZXR1S+i47myInjIWfyDocDuzduxcrClbgm5u/iS8UfcHr+/LzaZFbU+Ml1RoTQ9HD2NiIC6VKSmg3/GmKndyJn330M9z1QWDjUqk+ZLMYGyM7gMZGnxfV6SSfZgnWVrLh9frXZ+0/xEQMGKP7dGxsroTQV5UlALphVq+GLScTT7z+cyy/OxFfav4d1HYH/pV6C478ehKnXfxtGY/KjZxMHb7zua+iIn2ZItsXC89elqcuORVvnv0EVs4kUt81FxvPznbrX6MZ6en0bDm5E3G6OBg0/hczPqFWA+XlcCxbhtqqKuQaDLLYXgjTk8HHbv3ryL9w+QuXo2dSgf5sIlBcDKQWDODbb38b7WOucVIIEHBOY+eBAzRxOp1Bi/o55ztc5KwU1H7pVRc5U+ZhCxc452H/AfBtAFMABgH80/Xa2Lz3jLr+/QuAL3m8/ncAlwf6jvXr1/OQMTTEeXe337c0NnK+dSvnfX2hf10o+Mv7f+E3PH0DN82YuN3OeVcX506njF9gNnO+Ywfnn37K+eRkSJuanOR8507Ox8dl2rcAsNvtfOfOnby5uVnU+8fGOP/oI86PHPHxBpuNc6uV/i/rSZYf7WPtvGGowe97TCYT37p1Kx8ZGZH+BU4n501N9BAcOsS53e71bd3d9JbhYelfESz6p/r5iX87kT+450FJn7NY6Pq3tLi209/PP/74Y26xWLy+f8Y+wx99/vu88M4YjnvA196u5a/84SbuGBoM9RB8wul08l9/8mte1VOl2HeIRW1tLa+qquJOp5P3TXoMhOPj9KB//DHnXV3cbud8aiq6Hxmnk+5Rs1me7dntdr5jxw7e1uDxDI6N0RiiEIbNw/zlmpcV274Y7O7azc975jzePeFl/rTb/3975x3fVnX3//eRLO8djzi2EzuT7DgJIwnQhL0KlEJJSwulUOj+MUqhtOVh9oFCS0s3fWgLZaTsBmjL3pA9Hcd2Ejs7sZPY8bZlSef3x1fXkm3J2rKB+369/LKtcXV8fO+5n/OdWtfUaP3227rznXf0uy+9pJubm4M6LrBG+9cVecBWQLu/fgNY/L1+pH4pHWeThTtW7DngUuAo8AzwLPA7rXW21+uatdY5SqnfAx9rrR93P/4I8G+t9aDOqkqpa4BrAAoLC+ctW7YsauO2dnXhTEoaVB5Bazh0KIlRo3qGLaC5p6eH1xtep85ex/cmfK9f3JDdbkEpjc0W+f/Z0tND+o4dKKeT9gkTcA4s1xwkDoeitjYDrWHy5LaojG0oOjo6OOI8wuP7HufKsispSikK+J6GhiQOHEihpKSTvDw/sRAuF2n19ThTUug23Lxxxjj/MjJ6SUnxWHR7nD2eIpdD4HK56OzsJCUlBWsEJ3Di4cOk7N2LKyWFtkmTBl0nLhdUV2dgtcr/PF5hLge7D5JtyybZ6sfX44e2tgRSUx1o7aC7u5u0tLRBlja7y86bG/7GE43Psy/FzrEHrVydchZTzvw+SYcPk3T4MJ2lpfTmRj9ZrKW3hfuq7+P0wtNZlH0KnZ0JZGdH3pEjVLq7u3G5XKSmprK9fTu/rP0l35nwHWZmzQRAORyk7t6NrbWVXWmTqO8oZtq0FhITR0jMxwCkeUM2vTmVlBRYg1orhqKjowObzUaiEQDmdJJZVQUWC53jxuEII55j9+5UurosTJkyvElHvrDbLbS2yrmorA6sQ0QaWVpasNTWkmK10jFjBq4gGnkuWbJkrdZ6/lCvUUqlIJrCaDb7CmLI+USkmcTf4QynAfVa60MASqnngYVAg1KqSGt9QClVBBgN1vYC3hGWJYi7cxBa64eBhwHmz5+vFy9eHJ0R2+2SSZObK7Wr/NxRHA55aZhaJSxqa2tpbW3lF6f/AlT/Nhpay7ATE8XrFpVyW93d4sbMyZHg9zA54QSxYBuJnrEoBWa4LMeNG0dLSgt5H+Zx5uIz+4L7h0Jr8cgVFXmawPt8UUmJBCAVFQUd/B5NenslWTglRULelJJWO5c9fxmnjz+da+Zd4/e9hsty0aJFobks/dHUJFnLfop9TZ8ubsxp02IfW9TS3UJWclZExzBclieddFI/l2VnbycPv3Q7v1j3EAdsPSxqTuCv2Vdz+v0PooybbG+vZLUcPSrzYfjto8hZS84iwZLA3j1W6uth0SJPNYZ44O2yVEoxt2cu9kI736j4BskJXiLYXfm+NKGQrC0W5lZoMrNGZmV/l0vWoj/sf4hV7W08fdbTYQXKG0H95eXlg12Wxx0n8RFdXdIstqwspHNj40YZp7vrUB9HOo9w/0f3873jvkdJ5lAF92LHwYPw1vo6FiwoJy3N/99kuCxnXXkl2U5n/0rjwXZZ94PWugs4VyllAX4NfB/oUkpVAydqrUdg1UwPwxFTths4QSmVquRsPxUxOS4HrnC/5grgX+6flwNLlVJJSqlyxH+8iniSmChFlw4dktgqP9bFrVvlgolXhlFtbS0v1ryIrdiGxWIZlFlnFN9ubZWxRcUoarTfmTw5osOkp0smfWtrbNpXGYKssLCQ8vJy5oyewxMXPRGUIAOZu8mTPYLM59wZLyork8KqW7bEvV+mzeb5Hxvx9lprThp7EjMLZvp9X9gxZEORm+sRZM3Ng1IYCwo8+QGxpLGjkfOXnR9UCQy/x2hs5MMP68jL88SQtdvb+cULP6T8zlyu33w/Uw46eMtyJe/ff4QzbvmLR5CB/GNmz5b52LvXb9JQOGw9tBWXdpGUkITVYsUIw4lnUvBAQQYS1P2dY7/TX5BBX6BeUooFnE56Vm7wnUkxAjCu858d+0vuXnJ3RILMb1B/RoYEvht98tatCymNv6fHt26pPVLL6v2rQ25lFE3qDu3n7q1f5rntj/t9Tb8YMu/WL62tUmncRyHicNBau7TWP9ASd3YDcAxwWCnVo5SaEPEHxIi4izKt9UrEtLgO2Owew8PAvcDpSqltwOnu39FabwGeBqqA/wLf1VrHvxBFSYncfA8e9BuxXF4u1rJ4lMqora3lyNEjfNj+Ic9ufdbv6/LyPK0cAzUvD5rERLdJxi41mgbU4gmW/HzZKPb0RFfLeAsyna15tupZXNoVdmr4tm0iav1SViZZH4cPB3hhbCgslNqVdXWy+U5KSOIHx//Ab8PxmAiygezZIz0BvYqmKiU6JdZWsjRbGhdMuYATSk4I6/2GhWzKlAoOHUqioaWZe56/nrK787h50y+Zs8fB+47Lefv+Qyz52V9R/qpJG7uiqVPFghiFIn2NHY1ctfwq/rj6j32PZWSIdSdeomygIOvs7eSnb/3UE9Tth8REQGvsKkka3fvMphleDEGTnZzDlLzQPQFBl71wJwEwfbpk7oYQOuDPmLSgdAH/uew/ITf8jiZJzny+Pulmzp54ls/nhwzqT0mRm8LOnSJUo9iTS2v9oFucfRFIBLa7kwLCWyRiSNxjyuLF/Pnz9Zo1a6J/4B075EbjxwfT1CSiLDdXMmRi4c0yXJZz586l09GJ1pqMJH8+NqGmRow5M2ZEMQPKbhdXZne3VF8N4wZvnH7RmqeBFrIHP36Ql7e9zHNfeo7s5Oywjrlrl5TKmDJFNrd+aWwU3/Uw1P3o6YEVK108e/BefnDqJUwaNcnn6+IiyMAIIpM5KSoS0er2UWsNDQ1y+YyADlb98M6yrG9q4PZHb+TlzhfosDo5d7uFnxV/meN/+OvQLyKn03PjPXoUwmwdo7Xm9brXmTN6DgVpnvVn/XqZ17lzwzps0PiykG1q2MR1/72OX5/1a2YVzhpi7PDee1Baohlv2yMXVXKyCJPhrJXjxV/W/JX/btjIL067nwllobnRIq5DZhQfnDTJrx/a6YT335faf2O9tNeuo7sYlx39huah8vHHcmr7KsQddJbloUMi2p1OsXSUeqKXlFIBY8qCQSn1HHCR10Mnaq2jX0wwDEbYkvgJYMIEOeOMQjYDyM2VzfGRI1G0THlhCDLnaCcoSE9MDyjIQK7zsrIou4+MYLXUVFGiYTS4VEq+enrkEJFU/B4oyACuO+E6Hr3w0bAFGcjil5MjFrMhN28FBZ6by+7dce0rlZQE6cV7qOx4mx3Nvmu0xE2QgaitqVPFFHrggJSWcZuPW1pEr/lq+hwJ3Y5ufvbWz6hvDqJTsw8Glr249Jkzeb7zWb5Qk8AG1zW8/MsDHH/v4+HtagxB1tgoG5lt28IyDyulOGPCGf0EGYixpa0ttt5zX4IMYFbhLF75yitDCjKQ63zKFMgvUHJRzZkjAx4JNYXcZCanM6k4l+LRcRZkIIvLoUPSUsJPHUStobi4f6u/nUd3cskzl/BslX+PSTz446qHWXHwbdLSBj8XUtmL/HyJuxs1qp8bc+nSpQDRKkVd7P4+0f39gygdN2JMURYOhYUeJTGgijfIRTNhQgCrShgYgiylNIXv/vu7IV2EFouIMqtV7o1Ri3tLTBSfVFqauKvCLKrqdMrNOtywrIGCbH/bflp7WlFKRRz0qpToi4QE8bgEHJ/dLnFE69fHtXv9vAnjeOmyFzhzwuCmF3EVZAZKyU536lSxiLiFSXa2fO3aFV0RUddcx0d7P+JIV+ibg4GCzKVdVB3dxo0fwQ0LXmXCTX+Ojt81P192/vv2iTgL8kJ0uBx8++Vv83b92z6fLymBBQtiZ3n0J8hqDtcAgQsTG4we7ZU4k5UlsVWGWaW3d9jdmZfO+BL3nv0/fguz+iJalfopLJSCszabbGK2bx90gSQkyAbbW9cUpRdx3QnXcWr5qeF/doTYnXbe3f0WrsKNDExED6sOmc0mFlTDSnb4MGPlvdFavI4HerTWxo5gZ5SOGzGmKIuEPXv8bvlLS+U+pHV0XOPeLstpBdP4+ak/54IpF4R1rMpKueajtv4ZQc2FhUOkKg5NaqqszW1t4moNhYGCTGvNz976Gde8dE3Ugl4TEyUxobs7iPq5iYmSGpWQIDfeMCyIoaC1ZsXeFWitSU9Mp65OUV3teX5YBJk3hYUyeSBBb83NlJWJdo1mvPe0/Gm89OWXmD8mNO+Gr8KwjR2NOLSTklZImVQSnSQZEKE6YYKEP3R0SExmEMFgR7uP0uPswWrxHXuUmBhx0ppf/AmyysZKLnv+Ml6ufTnoY3V3D/hzbTbPwKur+xWbjSf7Wvexcu9KXC4xVnkXDh6KqAkyA6MTgJEgMqBbhss1OAY+KSGJr8z8Cjkpw3Btu0m0JvLkF5/ku8d9q19XvnALw/ZhnG/Nzfz8kkvcD6krIx8xAK/7+XlYMUVZJIwfL/7KmhoJkvGBEbMYSR9rQ5BVVFTQ6ejsc2EkJQSuQ+WLsWPFsxbVFlEJCXLjtdnkoEE0nx3IqFFiWGlokPUoGHy5LJVS3LToJn5w/A8C9noMhdxcKeXhL667H0aNCsOC6MOiGi0+2P0B3/v393h7p1hRLBb5OKlQMcyCbCB1dbBpE9md+8nJES9vpEkxWmvW7F+D1jrkhtz+KvXva5WbYXEbHHPKmHD3Gv4pKJAAsISEoCYgLzWPR85/hJPGnuT3NQ0NofVDDQZ/ggxgyqgp3Lzo5pAsNEb+h08MUbNuXfALQJR4fNPj/PD1H3K4rYUtW4JbvqIuyAwsFomBmTNH3C4galZr9u2Dd9/1bKgf/PhBVu2LbzGCgbR0t9Dr7KXhoIXG/R4TY8SCzJtJk0iY2ZdN/tfIDtaHtxB7I0rHjJhPrSiLUvb50FgsEjmfnS27vEOHBr1kzBhZdzdvDs9l6G0he63uNS7650V9fc3CJSdHTOBNTTEK59izR0oAhGEGGTtWQnYOHAjs2vIlyJwuucEdk3cMC0sXhvz5gTDibw8cCCL+zYi5y8kJKbsqVBaNXcQ9p9zD4rLFgNzbUlNh06ZuPv54BAkykKCinByoraXMVUeiTUfsSn9v13t86+Vv8f7u90N631Ctk/a1uUUZmZCSQk9P8NaToElLg2OPFbUPYlH1IdDeqn+Lzl7ZjA2VQdzc3C/ZNWKGEmQANquNS6ZfErTrEuSS6O31c21nZoqVaNQocd1VVsZpIYfrF1zP78/5fV9tu0CJRzETZN5kZ8s9xumUUIiNG7G39WCxyD2ltaeVd3a9Q/Xh6oCHiiX3fXgfX33hqxw46OqrghNVQWYg4QO1AEqpyIoQwt+BvyqljIyKtyI8XtT41Iqy7u6wjDWhY7FI5mFGhmxTB5iekpLk6XBKZXgLMovFwuRRk/ncuM9FpTDgmDEeC3m0A64pKZGFtbY25B2vEb9VUTF0fIwvQebSLq556Roe3fCo/zdGAbtdxGxQtd+sVmlwbySGtLZGtfGn3WnHoiycOfHMPqugxQIlJZ1s2FBNbm7FyBFkIHeTmTOhpISslt3MT9pMamJkfvQTx57IHYvv4MSxJwb9niF7WeJlKcsYg9biVYtF4k7f3b+7W0TI+vX91N/+tv3c8sYtPL7Jf90ng6ws0TDREI9DCbKu3i6+88p32HBwQ8jHNTyVdj9NMrDZZKM7cWJUSyL4Q2uNS7tItCYyq3BWUNngcRFk3litEhDc1kbP2kqSOiQcIjMpk2cveZalM5bGfgxDcN7k87h0+qV0dVpIS4uRIPNg+Lb/FslBtNZXaq3bgWPdvx8O8Ja48akVZRaLBI3HJQHOuPHOmuXzak5P94SQVAe5qRkoyAAm5E7gJyf/JGouuQkTRD9F/Z5tsUiQZn6+7HhDbN5ttcq92+XyHQzuS5CBCJRx2eMoyohyhsUAEhPF0tjSEuKf1tUlN93KyqgUsvt4z8d88ekvsvPozn6Pd3Z2Ulu7igULymlvzxru2OnBGPW7pkwBhwOHU4WdD+HSLqwWK+dOPjfo6yKQIAOxlFldUDhqHErJqXz4cAzrDyYni1jt7pY4M3cc4piMMTxy/iNcNvOygIcw3OqR5pYEspAdaD/AwfaDKEKvYxNQlBmUlIgV0QiHOHAgqpsZgw92f8CXn/tyX/PuQKIs7oLMoKgI5s+nJyGNpH31NK57H5ejF5vVRqI1RsGEQbKwdCHnTbiI3l5QqjOWgszgZeALUTrWaVE6TtT41Iqy1NT4FlQkIUEWEJdLgrUGFFQdNUqKv/vpQNOPgYLsqc1P8ZsVv+lzzUUL495oJCQEXChDwWIRJVpYKD6VMHxULS1Syqi21vOYP0EGkJyQzG2fu40zJpwR6egDUlgoX7t2hXCOpaR46qVEocJ7RlIGU0ZNYUyGJ93JO4Zs7tws5s+nX+DtiKKoCCoqqN5mpXKDA1dzaBfr1kNbueSZS9jRFLwPPhhBBiLKRndasJZI9ldBgQiymOZs5OZKNmJyMmzeTG+9FKmeWTiTtEQfdQYGkJoqG5pIRFkgQQYwPmc8z37pWWaPnh3y8Q33f1CnvmEqb2yUuN1Nm6K8SEGCJYHCtMK+EiNDibJhE2QGKSnYy6dgG1fEjRt+wXWv3xD/MXixvWk7j296nB5HDx0d0NXVRXX12lgLMoDLAZRSwZvG/XN6FI4RVT61okwpKXUS7bIUAXE6xSS2efOgu3VRkbgYwL+LwZeF7ED7Afa07olq0PpAtm2TRMGoWlWUkuD/uXPFjxsiOTkSH3XwoISn+RNkLu3iVx//qm+3Gy8mT5b759atIZR2KC4W90x7u1jNIijMNqNgBg+c8UDfTnlgUL/NJjoQ4tf6K2SUoqQE7LsPsv+NqpDiEHtdvYxKGTWoZpc/ghVkAPta9lJ81NUXaJ2VJaewn3ye6OFuY9aRl8kX3/k2y2uWB/1WpWSc4VrzghFkK/euxOlyhr0WpaZ6oj2CprBQrKotLUPW8AqHBaULeOjsh0iwyM4lKUmWq4Heg2EXZG6KSxQFc8Zw5eLruHjaJXJh79gR9/ZuAO/sfIe/rPsLPc4ejh7toLZ2KyecMDPWggyttRGY5Ls+TGicCIyoCvqfWlEGHgtBc/OQLSuji1EeIjFRhJmP9O7GRmkiPXDX7UuQAdyw4AbuO+2+sNsEBUNhoQjFLVuiPE9KeTq079kT8j+irEysjNXVTt5+e51PC9mOph28WP0imxs2R3HggbFaxRjoVaw+OPLy5Byx2+VkCJGqQ1X8df1f6XV6zA1DZVnW10tMVJxipkMmOxuyjxnNnu58XNW1skMI4hyZVTiLhz//cFDFk0MRZAD7mndR3EafKFNKrpHm5jiU0rJYsE8oZ9a445mYO1FESJBlImbN8lQfCYVgBNmOph1899/f5anKp0L/ADcJCXI9h1y+o6hIkgASE8ViFmF2Zrejm+U1ywd5H6xWcQN7F9QfKYIMxNOSn684ZfypnDzuZLmJ7NkzLKVErp57Nc9c8gxWh5WdO1dxxRXjKSjIjtfHXwskKKWikUE1YsphwKdclBm0t0tIQn14hb5Dx8i6S0gQN9WAehijRkmcWVWV5ylfguyFrS+wt1UWH3/1iaJFVpZsRpub/bb2jBynU/4RIZiWpOe3k/r6rbS3j6GsrHzQayaNmsSLS1+Mi9tyIBkZ8v+EEG/WWVkSM2P0SgnBvPHOznd4puoZepxi/gpU9qKgQMZWVxfC+OLMuAkJ9JRM4GDSOKnNNEQhvaauJp7c/CQOV3ATHqogA2jpOkpOF/3iDUpK4Pjj4+MOzknJ4e5T7mZa3lSxhKxfH4OMHCEYQQbitvzVmb/ioqkX+X1NMDQ1heliTUsTYVZcHHabKoPXdrzGne/eyZZDW/o9breLZd6wLI8kQeZ0wqs1b/PMlmc99RfHjJENntMppUR27YqL9aHbIRb+NNLiEUPmi7+4v98RhWP9MfBL4sdnQpSVlsq5u3t3zNa1wSQliTAzAra8sFrFg2WUyqis3DZIkLX1tPG71b/jiU1PxGnAUm3bKDY+oGZhdCgrk+yCxsagS/c7nU7Wr1/NCSekc+aZxf1iPVzaxdr9awHITcmNqSUxEA0NsGJFiJlvhkDo6oKVK4M+Ob9z7Hd48qInSU9MD6oOWVqaCIoDB+LaYCAkcnIgM0vRllcuu4OuLr9C9b/b/8tDKx8Kyl0djiADsDicuBRyvrpJTAzLCx8SWmse3fAoDe1uP6lSso5kZYmVuaZmyOvG6ZQwhGDXuWAFmdYapRQnjzs55FpwA9m2LQJDl8Uipmmjndn27WFZmz8/+fM8cv4jg1pDdXVJMlZn58gSZCDe2yc+eptnNr/Q/4mcHIlFzM8Xy0OIiVWhUnO4hrMeP4sPdnzAqlWrmDOngvr67Ni79r3Q0rR7B/CTCI+jtNYvRmVQUeIzIcpAruPcXAkaj0upDBBBNm+eJ4DCy39klMqor9/DunW9VFT0d1lmJGXw1Bef4vvHfz9OgxXGjxdx5qt/WVQoLZVgrCNHRJEOsavzjiGbPr2sLz7KyKF4qeYlrn35WjYe3BijwQaPEStYXR3GRjUxUW4yNTVDmnP3t+2nsUNuQDkpOSEVhi0rk3MuSM/gsDB7tugxiookIDQpSQY7QEl+ecaXWXbxMsZmjfV9IDfhCjIAi9MtygbcjNvb5bSNcrx5H3tb9/LntX/mzfo3PQ/abOKXNPqIrlvn14potYqgGJBn5JNgBVmPo4fLX7ycN+ve9PuaUDBqlUWM0ykuu6oqufCCtDY7XU6UUj4TFYxrw+UaWYIMxHp3Zdkd/PbsPwyO6bPZJJZi+nSPdTdG8QopthSOLzqelroWKioqSEnJpqVlWMLazgFQSpXF/ZNjyGdGlCkl52xqqs8ar7H9YJCt4erV/Wp07N9fS0HBYU499RisVs+/YkujmNQL0goi3pWGM9xjjvF4B2JyoY0Z42nq7udm4C+o/+BBsQQ0NsI5k87hriV3BWyEHA+Skz1lMkKuqm61ikIvKpJdbnW1z4m/94N7uWr5VThcjpAr9VutYvSJSRHUKGHU1+3pAW3cdPbtE9fdnj04XA6au5pRSlGWXTbksSIRZADWXifO9NRBpjGlZD8RqzWkNKuU5y99ni9N/1L/J4w+ojNnysU5hA81IyNweFGwggygpaeF1IRUspOzg/sjAmCzRUnUWq1iRTSygdauDdg6ZX/bfs5fdj5r9q/x+bzLJWvPunVrR5QgszvttHRKAeH8jCHqpubne+oJbdwoYQBRzvIZlTCKsxLPYtGxi8jOzu6b8pht5P2gtTby8oPPhvkE8JkRZSDnakWFGGrijlG1e8MG6OrqiyE75ZTZFBfLv6G7G1btW8UVL17BazteG4ZB9mfvXokfjUlgc2EhfZ1rjx7tt0oPVfaioAAyMl1UbrVj77Zx9qSzh9Vt6Y1RJmPnzjDchEqJmaisTG4wPpTdTQtv4pZFt2DvtofVOqmgQAxQqfHV+SHR0iJu4L4kmKIiSYzYsYMnX32ALz79xT5roT8iFWT799fQ6ejGmTH4LpOWJl9heMwC0tQlWYWj00f3ZQMOYtQoKasCkuW9c+cg02dGhuz9/F23oQgykM3hn877E/PGzAv2TxkSmy2KRhxDrM6ZI5ayTZuGtJjZnXbGZ4/3a2V1OJxUV1dTVDR6xAgygGernuUbr59Phz4cXFKRxSLrq5GxGqUT9qkNT/H6h6/3iyEzavwO07ryIDAz4Ks+QXymRBl4NphdXWL1jlkxyIGkpop/Rmt2L19OW2Njvxiy9nbJyBztmsfNi25mSdmSOA3MPxkZMcrI9MbplA9wl4cYSpCBrDWbeYp7tn6VFetbRlxh1EmTxGoWdq/TsjIJOCwt7XvICOotzSqlIq8iol6WCQlhtyaNC5mZYpzq06RGimtZGScxjqWZCymwZft9fySCbMWOd/nK3RWM+9MxNCQ7OLZskc/XFRTIvS6aBojGjkYuXHYhyyqXBf+mQ4dElA2o32UUkfV1DoYqyN6oe4N2e3tUNz6G+zKqa0p2tsRVTZvmMbn6WBzKssv47Tm/9VlGxel0snbtOkaNGkVZ2dCu8XhTMbqCJaMvojAjL/g3jRkjc5KaKje7qqqIdth1jXXc+dad7E3b2y+ov6ND1rxhqod4M4BS6qvD8ukx4DMnygw6O2VNC6pVTrRIS2Nbaiqd7e1UWCxYvD44NVWTltlDfZ2VU0Zfgs1qG+JA8cE7IzMmPTLB47rr7cW5Zg1r33/fryAzmJxfzsLxc7A6MqmpidG4wiQhQZIqDSNgWOTlyby4e3Pd+p8fcv+H90etubjRmjTOGfRBoZQkpLa2esVFKQVlZZTPP41rCs72W9stHEFmd9p5csNjHP/zchY8vphXOjbw/YZxbDvlRW740Qs+32N0zDL6/EWD9MR0ls5YGlKrKMrKJNagpUVM2u66iOnpYlAbqKNCFWSNHY3c+uatPLbxsRD+ksAY1S2ijs3mibvYt092uV67jxerX6Td7nu3ZAT1T55cwOc/P3rEWZOn5k/lxpO/MzDEMTApKeIeKi+XHXZItXs8dHR0sGvLLp655BmuPPbKfs8lJXky0OON1tqwuf5jeEYQfZQeqVG/ETJ//ny9Zo3vuAGDffsk8LmkxOMRiCV9ZS8mT8bS1SW+LjcvVr/Ioxse4zulfybZlU9FhSfBaLjZvl1cmVOmxK4Yr7Olha3//Ce5OTmMOeusoKpL7t8vOzTDMzzSaGqSG2PY+qmzE9eG9fxu59OkFJUzSc2JSnNxh0PuV+46pSMOlws+/lgsPjNnwoe7P+TDPR/yveO+R6olyWMJaW/vu0hCFWSNHY38efUf+eMHv+aA8yiTD8MPGsu5/Jrfk3Hq2QHfX1UlNyKvS3j4aG8Xa3N3tyQE+Dg/QhVkfe87XE1xRnFQteBGFO3t8k/q7ITSUrZnOVn6/Fe4aeFNXDrj0n4vHWlZlt609rTyxKYnuGzWZWQmZUZ2MK1lQXI4JHZ13LigzFsdHR2sWLmCeXPnxbvsRT/a29vJyMhYq7We7/24Uuo0pNZYptZ6BG41Q+MzaykDKXdjNOWOsBZhQPrVIcvM9KzmR49CdzclmSXMLJzBifNG9ZXKiFWGV6hMmCA3oFjpd6fTyeqtW0k/6STGlJb6LZv+/NbneWbLMxgbiTFjPIIsbm7oINHa07Q87PiZ1FQs8+ZzzdhLmL8R5hQWRqW5eEKCZNm2tsahQn0YWCxybTY1yTVQe6SWtQfWYrPYPIKsqUmsQzt20NjQELQgW39gPV9/4XJKHyjmtndvZ3b1Uf7zQRlbz/gX3122IyhBBp4OYpHi0i7ufu9uth7aGv5B0tPF9DR2rCcNGM81EY4gM2rAHZN3TNQFmd0uG6qYdpkw5mTMGNizh4m72njinEf4wtT+LRMHCrKODtmsj5T1ZMXeFfxtw9842NZAS0uEsXjG/7652RMwHCBN12gu/kL7C/y9+u8RfHjkfP3rXweYp5Tq50bSWr/h/vEvA9/zSeQzbSkDuXlu2SILRUWF/0a0keCvUj8ul9SnMmoRJScDsslraJAb5wiJYY8Zg2LI7HZxQygl8+OeL601N71+Ew6XgwfPfLDfzWX/ftn4GQW/Rwrt7ZIQlpcnmeqh8uTmJ5meM52jNYepSEoi0+GQoDV3lflI0FoqK/T0SEFUQ+uMFBwOuTEaGsvutPdvvKw1bN9Oc2UldUePMuNLXyLJT/qXw+XgxeoX+c2KX/PBng9J61V8fb3m+82TmXLDPXDRRWG5dZxOuUm6L9uw2NOyh6tfuprrT7iesyaeFf6BvHE42PtWLTucZeSN3U1PT2iCrNfZy2XPX8ZFUy9i6Yyl0RmTF62tcu7NnBkft5ez4SDW7TtESXttanxZyAzvycKFI2ctaexoJMNSwMqV4q0ePToKB21tlR1jV5dYJsaPH3QNGIJs9pzZ/G3r3xidPprLZl3Wf2yNsvmsqIjsOgiGjo4O0t2Wca11v5NZKfVf4MyBj38SGamtiuOGUlKdwfg52vgVZAAWC09Yt6B27+HLWqPcZ3Z6usd12dsrlo2RIs4OH5Yg7NmzI7+R+wzqN1bCnh7JVC0rg8JClFLcf/r9dDm6Bt1csrJknqqqZFwjZa7S0yWUo65ORHYolpV2ezt/XfdXJlsmc89595CZnS01zKJ0F1NK9F1NjUz1SIuhSUiAhs599HT2UJ49vr8gA1CKxqws6oC5JSUkVlZKgsQAYfb81ue57r/Xsad1D+VtCfzqQ/hG73Sybr0DLrww7BgbkNwUo6tauJRmlfLCpS+QkpAS/kEG0tNDsrODA+9/QOJ8Cyd84dSQXJY9zh5mFMwIWAcuXEJqSh4hdqedy977Pl865mIuyXEnbhw6hDMzk1Xr1g1yWRo2ighOi6jR2dtJqi2VgrSCPoNW1IoXZ2ZKEkBdnVjNnE53kUDBEGRGluWNC2/0eZiODtlHx0PApsm1XQnMUEq9p7U+2evpGuBMpdRCrfVHsR9N7BiWU08p9f+UUpVKqS1Kqevcj+UqpV5XSm1zf8/xev2PlVLblVI1Sqkzoz0eq9UTV11dHVGP6H4MKcgQ68/Gllo2pbbJh2/Y0O/De3vFwjyS2uNYrRIgHmmCRKAsS6xWWYG2bmXl+pdo7WlFKeWzbltamqwnR4/GsZVWkJSWyvq3bVto7miLw8L1xdfzkzN/Ii5LpWQ3a3SI2Lkz4ruasS6PNEFm8JuVD/GVp66hevtgP5cRQ1ZxzjkkHnecp5DoAJ6qfIojXUf4l/oK237l4Ppr/0bWqo1hW8e8yc2Vcy7chLbqw9VorUm1pUa3rEtaGvvyU+hJSKDUkYIKobAqSNLBbZ+7jYWlC6M3Ji/iKcq6Hd1My5vG2JwyeaCnB2dlJVWPPUZxevqgGDKjPOBwb+waOxo5+4mzeXX7q4DH1RvVjhJWq+zMZs+WzS9Aby8dbW19gqxJN7HtyDa/h2hvl/UjjiK2B7gQOEkp9TMl7AZ+4H7+Db/v/IQQd1GmlJoBfBM4DpgNnKeUmgTcAryptZ4EvOn+HaXUNGApMB04C/hDlJqQDsJuF0vQ5s2R1+YKJMgAlFLcd9p93HHG/6LmzJEP9eqPYrOJ62vPHnHRjQRyciTG7PBh0QXhEFCQgZhKZs2iMzuNm9/9GQ/8+6dDHrOwUJIQdu8e3Oh9ODEssRMmBL+b3LxvMytXrmThvIUUF/hwVXZ0yB+6bl3ElWCNuN+DByM6TEz48Ym3cN3Mn3OkIamfphgU1J+VJQXYDL9Oe3vfjmFmwUy6ers45bRvYtXIRRWlO0hennxMOOfb7pbdXPHiFVHPbASJIXNa7Iw/bTGd+WXiYwqyoe3ymuXsa41FjzUPVqvnvIs1mUmZ3LHkDo4vOR4AZ0ICa51O8vLzGdvUJLs4r92lIcqG21JmVVbOGH8GMwulBFdMRJlBTk7fgTvXrWPr449TMWkS2dnZ/GnNn/j2K9/G7vS9o+zoGJaisf8CfgHcCbiAUmAx8F0gJVb6IF4Mx6k3FVihte7UWjuAd4EvABcAj7pf8yiihnE/vkxr3aO1rge2I4Iu6qSmSuxPZ2dktbmCEWT/3vbvvurkSQlJkm04b55nx+Jm4kTZkW/bNnJqS5WUeIrPh1rZPChBZmCxkDp7Pn9e+L98L21JwGyMSZNkGmMaQBwGKSmerNVAHRJqD9ay9J9L2Zq01X9Qf3q67G4dDhFm7lII4bJ/v1iIg2nNEw+cLidaa3JScjh71nE4HJ6EBL9ZlkYWWXe3zMmWLeBwUDG6Ao1mY7FVlPvLL0dtnBkZIrTDKY1RklnCrSfeyvlTzo/aeKB/UH9GpoX2rGI5V4xrbYgTsN3ezq8+/hVPbI5tv12l5N8Va1H2Rt0b/fqjGjFkhZMmUXTeeXI+7Nol9WHci73LJeMbbkvZqNRR/OTknzAmQ2rr9PTInMUy9rOjo4O1Bw4wZfx4snfsgJ07+elJP+EXp/9icPgAYnzt7o6/KHPjbRGbpbV+F6hw/z6yisyFyHCIskrgZKXUKKVUKtK/qhQo1FofAHB/N6r7FQN7vN6/1/1YTMjJ8dTmqq0N/PqBBCPIDnUc4u737uYfmwaUVklJkdWgu7vPlendHmrLln5dmoaVSZPEQBFK5fqQBBmSDo5STDn2LAqmzg8YlGWxSImHiGqExZAjRySvw597vLOzk71b9/Kjk37E0ooAAdZZWfLH2mxyU4mgYndxsWyUd+wYGX0xH1r5EDe8egNOl5OsLBE/e/ZAQ0MQZS+Sk8UseeQIrFtHRfYxAKxv2Ajnngv/+U/U/GZKibWsqSn0dmQWZeGCYy4gJyXybFqDgVmWY8a4NwPZ2aIetZZCszU1Pt2Z6YnpPHPJM1w779qojckfc+d6dGIs6HH0cO8H9/LH1X8EfAT1JyRI1Py0af3avY0dK4kvw8nzW59nd0v/jh5GZ7pYYcSQzVy8mIxTTpEKyTt3klm5jbnZvj/Y5ZINeryrZCilHgJeA4yU5U1KKQ1cDVzvNt58YhmW7Eul1FWIqbEdqAK6gCu11tler2nWWucopX4PfKy1ftz9+CPAv7XWz/k47jXANQCFhYXzli0LoTr2AA4eTObw4UQmT24jMTG4Oerp6cHpdJIaRJDOvq595CXmkWQdfHOxdnWRvn072mqlfcIEXElJ2O0W9u9PprS0C6t1BNw5kXU9lJ1bR0cHNpuNxCD8eId7DnP31ru5tPRSFoxa4HnC5SK5oYHugoIhP7ylxUZnp5WioigFCEYBu91CdXUGqakOJkzo6Lcbd7lcdHR0kJqaijWESVUOB6m7dtFdWIgzgsJ2TU02du9OY+zYTnJzh7cWy1uNb9Fkb+LikosBaG62UVeXTFHRYYqKEoOKv0pobyfV7Zo6pfVnLMxfxC8aFzDjttvY8OCDHJ0zJypj7e62oLUiJSW4mK1eVy+/3f5bziw8k+lZYaTk+h1HNy6Xa+i1R2uSDx4kuaEBZ3IyHWVluNwpc93ObpKtMU6fizPNdnEt5CTmBLX22FpasDU301Vaih6mdOQORwe3Vt7KSXkn9Z3/scbX2lPfUc9LO5/hGrWYlCnzhm0+vHE6nZx22mkaUMAtWuv7lFJTgGr3S+ZorTcO3wijw7BkX2qtHwEeAVBK/RyxfjUopYq01geUUkWAsfXfi1jSDEoAnxFWWuuHgYdBSmIsXrw4onGGklUSjIUMYNfRXYzLDqJAYXu7WEAsFimXkeLJzhopcQ8G7e1iyZgyxfeYDAvZuHHjgrKQAbT1tLE9bTtfn/N1Rqd75YA3NcluPytLsu1sNp/vNwreTp/uqcA+EpgxQyywkyd7LHqdnZ28+sGr/KPtH9x+3O2RNVg/fFj83SGeHFpLNmFPj4RnDecavJjF/X5vaGjE6azj7LMXk5YWQlBNdzdUVnLcupkc1AeZcd11cPfdzNm7F667LppDDpr9bftJb07n2PnHclxxdKIw/NUh01qmwGIZEIvU1CSZOi4XTJ6MMz+Przz/FY4vPp4bFtwQlTEF4vBhWV9jYdV2uBx9vUMNC1l5eXngwrB793J47S56OpIpPnlC/E1AbhYsWkCCJaFfsdhDh8RNGO2kHMNCdtJJJ/UrDKvrNQmd6Zx84fckucrlkoVr7Ni+QdjtYnCM133IfW4rYL7Weq1S6iuAt6/9CWBGfEYTO4Yr+7LA/X0scBHwFNLp/Qr3S64A/uX+eTmwVCmVpJQqByYBq+IxTsPiX1c3dLxNsILsvV3vcfEzF7Ny78rAH27EDblcfU3MQcazcaPEAI0UOjsl5sdXLHGoLkuDjKQMbjnxlv6CDERwTJ8umXYbNvgNIBs/XrILa2oijoWPKmPGiIt8xw65YRqtk8ZOGkt6Sjq5KRG0J+jogMpKOUFCdNEpJV6/9PT4BGD74u36twddG42NjdTUVPP5z1eEJshAXJkVFVSUL2TLoS3YtQM+9zl45ZUojlpOxSDj6BmTMYbHL3o85oIMZK1YtcpHklBurqTdpqdDfT1Oh53Tx5/O/DHziReNjbKRiwW3vnkrd757Z+iV+ktKaCyazd5DSbK21NWF7peOgF6nXLO5Kbn9BJnLJaErUeop3sfAshfeLClfwj8v/qcn272rS0IC1qyRJCOtqaqSaYoXN9xwA8B6tyB7ERFh/3XXJjsDmK6U+kX8RhQbhsvW8pxSqgp4Cfiu1roZuBc4XSm1DTjd/Tta6y3A04ib87/u18et3rLTKbs6f/FcwQoygPlj5vPt+d9m3pggG7+lp4uVLC2tzyKklJSqamwMP/sx2hQUyAZq//7+N4BwBNnB9oPc8OoNHGg74P9F+fnSTqa7W8w7Pv4xFouEi4DUL4vj2hoQoxzQnj1dfb0s55XP49ELH6UksyT8A6elyR/d1ibB7iEGIGZlSUHPmGR4BUBrzT82/YM/r/1zX8eGgUH9Yd3IrVYqiuZid9rZuuJlUZ7V1aEFQwago0OssoF6ib67813sTjsWFZ1lN1ClfotFDOwdHT7enJQka8ucOSQmpnD1nG9wcsGxURlXMMQq0F9rzcTciZRllYXVOsmVmo5l+lRPKndTU/QH6Yeb37iZO965Y9DjRimdaF6XQwmyqkNVaK37n1NpadLUd9QoEavr19NxpDuuQf6//OUvAbQ7fuwCJOTpbACt9evAT4GblFIXxm9U0WdYRJnW+iSt9TSt9Wyt9Zvux45orU/VWk9yf2/yev09WusJWuspWuv/xHOsCQlyowIpleFtgAhWkGmtcWkXqbZUvlHxjT7TelCkpYkASUgQZdHVxdixkv2/c+fIaZNTXu7JEm1pCd9CVtdcx9bDW9EEiJvLzpYy0haL3+j05GSJ5W1ri/4uMxKSk2HGjE727VvJhKkTeHn3y/Q6e6NTq6qgQG62RmZmGCmVXV39KrPEBaUUfzrvT9x72r0opXxmWTY1yTkf6s18zug5AKxPbxNRBvDOO1Ebu1HPd6jSGDuP7uTG127kyc1PRuUzg22dlJbmR5QBKMVzda+w/sB6mdg1a+K2oMRKlCmluGrOVUzqmhRWL0uXCyw2q+yc5s6VTA4YYhKjg9aa6fnTmZI3ZdBzRmJQtERZIEF2+QuX81LtS4PfmJgoXopp07C3dtO7Y/dwZF4a3Xonaa3/7v2E1voepJrDC0qpOXEeV9QYIVFJI5uUFBFmPT0izMS9HryF7IXqF7h6+dWSTRgJtbVyo+3oYPJk0SU1NRFXRIgKRpZoSgrs2hWeIANYWLqQfy39V18q+JCkp8vuzVgZfFiG8vJkbY1Ka5Io0dnZycaNYiH7YP9aHlr5W+qPRjFhKDNTyqskJYXlu927V061eGX6NnY04nQ5SbQmUpBW4LfsRUmJWK5DFYyTcieRaktlfUsNXOwOnn7tNREiUUh0stlkyocSZWXZZfzx3D/ypelfivjzQullmZYmp4Cv2rG9zl4e3/w4L1S/ICm46ekSa+YnOzOaJCTI1EfzYzYc3MC6/esiai7u1dlN/qkgqmjt2pg2JFZKcdXcq3y2tTIiNKLRxmgoQQZyrfz05J9y2vjT/B+koICOqfNh7FhZeh2OuCwWdpn77UCi1tpfwMAf3N/XK6WGp1hHhJiiLEgyMyUlub0d1q/fHrQgA0k1z0/NJz0x/Ow4AMaNkxVjwwYsne1Mny7CzE+se9xJSIAZM5x0dIQuyBraG3hv13sAPmvi+MW4Ke3fD6tX+9zpG2trZ2f0ujWEixFDNnv2bDIycijtuJA7Z/2TyaMmR/eDkpNFmBkF0rwKqgairEwC/ePRScKlXdzw6g1c/+r1wBB1yBDNkJUl/+pQtJTVYqVidAWr9q+SP27cOKlNEsXdTF6eWGR93bOdLlEexxYf67MjRSiE2lzcSMj1dc+0WW089cWnuHHBjR535rhxonrDcH+HglFWLprWsofXPMz1/7qe0UWjwxJkMECUGSQlSZBqc7NYE6NcnbrqUBXrDqzz+3y0CscGEmQg58SFx1wY8Dzt6E2E5GQRZfX1Mi979sS0ps6tt94KMBGoVUoNqo/kblT+TyTUCaBdRbVVRnwwRVkI5OdDbm4tWh8NWpABnDHhDO47/b7IY0lSUmThdAszW3cbs2Z5MnKGO27K6XSyadNqRo8upKSkPKT4n8c2Psatb95KU1eYMRwFBXLH3rrVZ+CRyyXx71VVw1eLy1uQpWWm0dxziLIySOkuj43XyDg/vQuqBmGasNmkPdThw7G3wioUV1VcxcXTLh5SkBkUF4vlJ9RCyovLFrN632raetrgxhvlJtLYKKK+pydi91Rurm/DZLu9nYufuZjXdrwW0fEhdEEGcklMn94veRuApq4mXNpFckIyWclZ8qBSEocwa5acJzG8UAoL4cQTo9cz0el08qXsL3H3SXdTXhZ+AbTZs2W++qGUmGnnzZMBb94spuQozc/fN/ydW9+81W/V/KIiidSIJCM6GEH2q49/1bcxDkR2thQ2T0xEhHxurmQv+YnxjQYPPPAAwG6gDDiolNJKqWO8XrLZ/X0WngLzw1vfJwxMURYCtbW1dHeLhezQIUvA1kfLKpfxZt2b0R1ESopcoQkJ/RRGba2sFcMlOAbGkDU0yDUaoAh/H9edcB1/Ou9P4WcfutsykZ8vHzygEqrFIotIa+vw9Mf0FmQ5OTk8uuFRLn7mYhKzD5GZKdl7MesF6F1Q1ah7EYCSEllwY20tU0qxpHwJx6QcE7gwLGKR8tfoYCiWlC3BqZ28v/t9+OY35Q/8n/+Rc2T7dhGtEQQepqfDggUigrzpdnRTnl1OaWap7zcGSTiCDERg5+d7LFMg8Us3vHoDP3zth77flJsrFVSNsIADB6LuzrRaZUzRsGPYe+2sXLmS8tJyTppxUlTG5ZO0NImFGDtWFpQoGWHuWnIXD539kF8Pgc02+LwKhWAEWWdvJyv2rmBH046gjpmeLpcQIAvFjBkSv9LVJRueUFu9BM8hd7blee7ft7rF2XeAKcCF7kRAo0JDglLqz7EaTCwwRVmQDIwha2yUoHZ/lmyXdvHajtd4oy4G/VHdqf5Mn963MGRkiPVgm//esTHDV1B/cbHcQHfsGNqq0dLdgt1px2a1MaMgwhIzRsplcbGowfb2fk/n50tJijgnVQ0SZABnTzqbqyquoiA9nylTxI0TbFmFsCgulsDIri6JjwmQfWi1itEkPT12FthffvRLltcsD8pCZmCxiDUjN0TtvrB0IYnWRN6qf0uun5/+FD7+WCr8T5okf2hVlfwTItzZeL89LzWPX535K6bmh1+OPVxBZtDW1n+d0mgunX4p500+z/+bjM9pb5cd39q1g66nSOjpkbUh0vh5p9PJPcvv4Zd1vySvKC/ice3cGaBtlsUirsyJE+X31tawYxO11mitSUpIGjJ84eDB8FugBSPIAFJtqSy7eBmXzbos4DG1lvVz0CayoEBifPPz5YYUQ7TWr7jFmVHK4Pfu72lKqVvdP5cBNwDXKKW+FdMBRRFTlAWBr6D+adNk41RV5XutsigLD3/+YX72uZ/FZlBJSZ6AkV27KEpuprRU4m32xbafcD/8ZVkajbhTU2WO/MVy3f7O7Vy9/GpcOkp3fqXkJjtvnmdh8FowJ06U/1t1dcxidvvhS5CB9D68fPblgIynrGywiynq5ObKTt9iCWonW1QkUxmL4pB2p52aIzVs3bc1aEHmjcMRWlWLFFsKC0sXiigDuPJKUZ233SamiDlzZOu/d6/4ucM4Odra4KOPPONaVrksfHe8m0gFGYg333uzZlEWzp50NqeUnxL4zQP7rEZpcXE4ZFyReLqMOmQTiyYyp3QOaYmRx3Xv2xeia/zwYRFl69eHnFTz3q73+NoLX6OhfejYhR07wjPiBivImrqacLgcWJQlqHje7m6p3+1TvCYmysJvZCVs3iz9RWPkwtFar3OLszLgKFK77B5gPeLq/Jr7pX9USs2MySCijCnKAuAvy9JqFcNDQoKcd94eobfr36bb0U2CJSHiwN6AOJ1yxW7ezPisI+TlyWY/HpagQGUvrFaxahseIl9cMv0SLp52cdRqN/VhCFbDZee+yRrGtIKCIdwUUcKXIHuu6jnueveuQfEj48YN6kUfG9LSRLCOHy+/B+HKPHo0+udTojWRu467i2Mtx4YsyEASBCsrQ7PinVJ2ChsObuBI5xG5edx2m1iA/vUvEfMTJ8oNxeEIS4mmpIj14MgR2N2ymwdXPMh/toVfwScaggzkX97dLUvFc1XP8UrtK3214IIiO1ssINnZou5qasIei4ERHxVuoL93YdivLfxa1Da/TmeI//rx42VB6ewUt12gmBYvLMpCdnI2ean+LXwul5xToQb5ByvIAO5+726+/uLXgz4nDOtmwHIYRh+++noR9FG0tA5Ea71La+0d2FABuNzfv+J+bJM7GWBEY4qyIQhU9iIpyRMTa+wa9rbu5eY3buaxjY/FZ5BWa1+BWbWlkql5hyKKPwiWYOuQGeVEjIKpA1lYupDzp5wfo1G6kZTZvp1sWprcf4cocRYx/ixkzd3NHOo8hM3ie204ckQ2ljHFZhMRYlg/qqqGjBnavl08WNFyY67Zv4b6ffXU1NSwaMGikAUZiBXPbg8tEW7R2EVoNGsPrJUHvvpV6Xd1222eP66wUESrURcwhAyMhATJ9G1uhrFZY3nmkmfCLoERLUEGnkSgzk7NG3Vv8Fb9W6Ef02aTC3nChNB9xz4wNkThhKoZgiwxJ5Eqe1XUrOxay7885IB6w22XmSkXSpBmrZPGncTvzvkdVov/DzQ8DKGUwwhFkAFcPO1ivjLzK0GfE0GLMqtVBOv06bL5W7tWrIoxiodQShm+1/mA96LyJGAEy434Bq+mKPNDsHXIjELHxcXye0lmCX867098bdbX/L4n6ths4mLIyMBaU8Wcooa+dTMWoiPUwrBZWTJErcXqorXmtrdv44WtL0R/cAMZNap/MVWvsuudnVJFI1Al9lDxJ8gArp57Nb8+69d+F8CmJtlYRntMPklIEJddY+OQLavKy+XmcPBg5B/Z2dvJ/3vl/3H767eHZSEzyMmRG1UIhom+nqKbGjbJAwkJEuy/eTM8+6znhcb/5sAByebdujVo9ZCbCw3NbfT2ijCzWUPfmEdTkIFHlHV1KX5/7u+5Y8ngqvFBoZSk5RrNZPft62u5EyrhWsq8LWRrO9Zyx7t3BHT/BUtEPYWNHfq0aZ758eMCd2kXb9a9GZSYDLUcRqiCDGRjfM6kc4L7AGSPm5ISgnjNz5ebZEGBXFMxEGVKqUTgcWC11not8Hf3U1nArwB31WhalVIjqGrlYExR5oNQCsOC54KpbzhMXR3MLZpLii3WAUIDSEgQYeZ1Ie7bJ+Ex0bwGwq3UD7JJ2rgRGo700NTVRLs9dubsfmRmenLKvfqIJibKvTaAoSgk/AmyNfvXUHukFmBIV215uZxPNTVxyqQtLRULSGfnINFqMGqUTOGuXZGfS+3N7Vxbci23n3d72IIMRB8UFYlVKthQnrzUPMZkjPGIMoBLL5Ub6e23Dz4JxoyRf0hDg8xNEB+kU5r46ZYL+Mea54L/Y7yItiADuYEe7W2kqbULi7JEXi/RoLVV0nM3bQo5Bk8pET+hnE8De1lePfdq/nbB3yjKKApx4L4xxhJ26QmlRHgoJT7H1asleHWA8nx357vc/MbNfLj7w4CHDEWUhSrIao/U8vimx+lxBA5h6P85QVjJBmKzSWjA/PkeK/SePdG8OdW6vy9w98j+MvBjrXUr8P/cz13v/n7AnbE5sPjJiMAUZQMIVZAZvLPzHS5+7nzeqdrM7t0xHOBQWK2yWyuUuno2ZzdHj0YlBASITJCB3P9TUqCuNpkHTvltUJk+USM1VYLcx43ri6hPSJD7cXe3eB0ixZ8g01rz6xW/5q737goYt5GQIK7V9vbgy4lEzKhRMjdK+W2oOn683CAiifPef3A/1dXVXHrKpZTnhV9LymD0aBlyKPFuswpnsblxs+cBqxXuuEOsYU891f/FSsn5MmuWiI61awNGgedm2jhz/LkcPzb05t6xEGQg4uc/nXfyP+uvjF5CDchNdsoUKWa3Zk3IgYcnnugJbQzEQEFmBKZHktU6EJtN+tWPCaKZSEASEsR90tAgc+OVPvm5ss/x0NkPsWjsooCHKSyEE04I7L4Mx0L2zs53eGT9I37ro/lj+vQI4l+NSudNTZLBsGZNxMUQlVLHA+OAz7vLYdQBaK3vVUp9EbACC/AUlTXMgpVucbY4ogFEGVOUeRGuIAOYWTCTr1Z8ifllU6mrG8Zei8Zi3tZGwc5VlNn20dBAxEIxUkEGsk7VJDxNa08rVVUKdJxPv8REqTEEst3bvZusLLnvNjRE1vZvKJelUoo/nPsH7jnlnqButvn5Uk6kvj6oOPzoYCQAHOOuxehw9DPVZWeLESBcK8LeA3v56gtfZVfGrogsZN4kJckNywgdCIaZBTOpOlRFr9Mrn/+ii8TKfPvtvovF5ebK3KSnBzRZZCZn8L+fv5HpxaFVlI+VIDP49vFXc/Xcq6KfUFNUJHNjs4kbOIQMxGCX2IGCrLKxkguWXUDN4SjtNr1QKkrlx5QS5WL0592woa/cikVZWFi6MKj/hVIiyIYaUziCDOCaedfw9MVPk5EUWvmKtDRPHlXY5OXJNedySbzvtm2RuCt6gT9rrV9WShm++bFKqQTgWWCL1noFcBqAu3+2dxPat5VSgc2WccIUZW7CFWRGrZlRqaO4fsF1zJiWQFaWWK2HtSdlejrk5VHWu40C+17q6gLU3xmCaAgygPrmen637pfUJy6ntVU2SsPGwYPieqmpYdxYTVZW+EJ6KEHW3NWM1prMpEzGZo0N+piTJkkMerSaEAeFzeYJ/tu8eVAHgGnTwrMiNDY2Urm1koWTFjIhb0LgN4RAqPMzq3AWdqe9z5UMyE3zrrvkhHzMT4JOcrLEJhoBWrt393PZGdbQHU070Np/yyVfxFqQAUxIm8NEy+mxcYkbgn7GDE9dlyCCxXbvDmwNHijIQNz/E3MmUpoVWUHegXR1icU8qr3HjT60xcXYu9r5xvKreGfnO0G/fd++oTeL4QqybodkEOSn5Qf9HpDzOmphYTk5noDsffvEWh0G7rIY31JK5QK3AY9orfcAG9wvmeP+frrX2wyBZlxwC8P68BhgijIis5C9WP0iN79xM129skO0WGRtSkoKvXFyVDEKhRUVcUzCdjJb9oTV9zFaggygPKecJy96km8uWMrEiZ62jMPChAl9ff7UlkpmTHUyI4zatUMJsl5nL9e+fC13vXdXyMdNSvI0UY97lwalxFxnlBPxOnG0lptEsJtaozDskkVLuPu0u1lYGv21b9s20Y/BYAT793NhApx3Hhx3nIizQGqqs1PcvGvX9u289rbuZXnNcjY1bOpLNAumqHmsBdnymuX8Ze1fONriZNeuGFpeLRZxg4O4eFesCGh6PnJk6OxZX4IMYFr+NH5z9m+iXm6op0cSR6Jev9BqhUmTaC4bjUKR7FRB1+7at8//ZjpcQbbtyDbOevwsVu9bHfR7DIyi6VE7Vd1zQ0WFxyfqcITb3uRSAK311UqpBcB04GKttbFDmAMYQbMFQLXXe98O5wNjwWdelEUiyAB6nD10O7pJSvBs2W02Ocf8lYGIG0rBlClYxpZQkbmDksTQTEHRFGR7W2VLPCF3AgmWBEpKPCbwmLUXCkR5uZijmpqwbdmAcvRitwdvMRtKkIE0wr5k2iWcNv60sIfY2ChhF1HuchOYkhJJAOju7ic+2ttlQxtMvJshyGpTazlij24TZ2+sVrlxBXMzPSbvGBIsCf2D/UGulTvvlJvlI48MfRAjPtFwS+3dS2lWKS8ufZELjrmA5GQxGAUqQhoPC1nVoSpW719NepqsbSHWNw2PlBSxngXIXLVa/Z/XvgSZS7t4ruq5vg1wtDHGEkmPyaEozBjN/53/fxyfUOap3RWgem5Pj29rcLiCDCApIYmTxp7ElLzQb1AdHXL6R/10zcry3BB27JAkiRBbNWmt/6i1Vu4m5B8BTq21d8bNf4AbvX5/3c/Pw8pnWpRFKsgAls5Yym/O+s2g+IDERE+v42jWeAqLiRNRM2dAQQHNzZIsFWg80RRk7+96n4v+eRGr9q0a9Fx9vdzzh02YjRkjpk2bDaxWdu6U+0igavGBBBmIm+WS6ZdEZB1KTpaF0E/8fWwxOgAkJPQ1YM7IEIPInj1De6gMQTZ2+lge3fxobNqNuRk9WowOwZTsSLQmMj1/Og989ACnPnYqD3z0AFWHqiQB44wzYOFC+PWvAx8oPV3cUqNGsafyI3RNDZlJmX3rQHa2Uf7F99vjIcgAbjnxFn53zu9ITZXPiFGv6P4Yrt6yMs+uwkdWrz9R5s9Ctu7AOv73g/+V/qUxIOLsyyHY0riFzt5OlFKoceMkWr67W+Zm716fJ0pvr8zPwCD/SAQZSKmWu065i8ykzJDfG1bmZagUF8sNdMsW+QrddPk/7u/Z3g9qrc/RWv/F6yFTlMWTrjbHkNbhSAXZv6r/xYaDGwCGXFRbW8UkHq0MyLDJk6rRjrYumjbspmarf1UWTUEGUFFUwdVzr2Zu0Vyfw7LbRQgNVzN1Ro2SDDuLhfGlvSQ5OoYsTRVIkBl12D7a81HEQ8vMFDfv3r1RjnUJltRUT7yQUuByUTZO43D4z8T07mVZNqqM5770HF+e8eWYDjErK/g6ak9c9ATXnXAdjR2N3PT6TUz/w3TKflPGpsbNsGSJ7NSDKaCVkMDBcaO4tO4+Hj3Uf03PyZFD+Ko3Fw9BdqjjEIc6xNKQaE0kKUnERlwsZeAJdJ8zR9SOjwBbX6LMnyADmD9mPo994bGILM9DEStLmd1p5/pXr+f2d273PGjU7srJkQQAHxeTr3IYkQqyV2pf4XBneMHFDoeMKeIg/0AYG57x48W/vWoVNDezfPlygAql1Hfddcn88UtgstbaZ80lpZQxo+941SxbH70/IDJiJsqUUn9VSjUqpSq9HstVSr2ulNrm/p7j9dyPlVLblVI1SqkzvR6fp5Ta7H7uIRXkKubotLNtle8U7UgFmcPl4B+b/sGyymUBX5uf7yl1NCzWjgHkJ7VSnriPho/r2F0/WHVEW5BprUlPTOeaedeQYBnc1ygjQ0pANDXFoZJ9ECTs2sEx3RvoOnDUZyJCMBay5u5mqg9XR62o5fjxHmPVsJCQ4Ang3raNjPpNjMrsZe/ewTdVb0HW3Cv+u4K0grCKqIbC6NFiBQqmH+b0gun84vRfsPnbm9l93W4ePu9h5o+ZT3l2OSxaBFdcEbRJKS8tnx+cfBNnzblYHti7Fxoa+soFDmwkHS8L2W9X/ZYvP/flfjWoUlL896CNGVlZIj5KSuT3o0f71IbV2t8NNpQgc7rkRJuWPy36GaRutBaPdLR7vSZaE3nwzAf55txvDngiUUIEpk3zBNh6WYWMHw1LWaSCrKmribveu4untzwdxl8RQiX/aKCUZMrPny8709RURknMogX4HdDjLmexQSl1prcu0Fq3aa23+Ts0Uh4DrXUbcKr753gHiPjHyB6M9hdwMjAXqPR67BfALe6fbwHuc/88DdiItEYoR1oiWN3PrUImUSE+4bOD+fwZE6bptx9cr3dtaNLe1NTU6NWrV2un06kjocPeoVu6W4J+/datWr/9ttYHDkT0sdHh4EG95e+r9Nt/rtGH9tv7HnY4HPrjjz/WdXV1UfmYD3Z9oK996Vp9pPNIwNca83Mk8Etji92u9bp1escTH+u3/9mgDx/2PNXR0aHffvtt3dTU5P/9xmEcdu10RXaOebN/v8zP0aNRO2R4HDig9bvv6pY3V+uV73Tq9nbPUw0NDfrdd9/V3d3dek/LHr3g/xbof1b+My7D6u3Vuq5O6+7uuHycb1wurTdskH9UTY0+2uTUDofn6a1bt+q1a9dql8sV86Hsa92nX9/xer/Hentj/rFD43Rq/dFHWn/wge53YWlZez766CO9c+fOQW/rsHfo8586X79S+0q8Rjo8OJ1ar1ih9caNfSey0ymnVXt7u37rrbd0c3NzRB+xp2VPSPetgdjtMqbhAlgj35gLvAroAV/PIFayobTJPSJ9NEjlfz3U6+P9FTNLmdb6PWCgqeoC4FH3z48CF3o9vkxr3aO1rge2A8cppYqATK31x+4ZfMzrPUOSlJVMQbGNPR/sordJfAjRiCFbu38tLu0i1ZYakk9+8mSxVPsJH4gvhYUcc3Y5Gaqdpg+3gt0edQsZQEdvB3anPagK4pMmyaZ6WGPvoK9lVdnMDEp768hs2AZaB2UhA3ir/i16nb3YrLao7uhHj5bwrnj0NQ04kDlzyEy2c6xaQ1qXuEK8LWRJSUkUpBVwVcVVLClbEpdhJSR4uiHEA5d28eM3ftw/g00pcYOPHQv795O1Yx1Wu/gL42UhMxiTMWaQmy9hsKE6vlgsUpsqKUlKrmzbBi7XkBYygK7eLqbmTQ2ppMxI4fFNj/P7Vb8PrmivUmJRbGmRQPeGBiwW6OyMzEIG9BWtLsksCSuWzMBmi74lMWi8zPJaymCcqaWkhQX4ElAPXAzUuK1oWin1c6VU9oAjDSqNMZJQOoYKQSlVBrystZ7h/v2o1jrb6/lmrXWOUup3wAqt9ePuxx9BrGI7gXu11qe5Hz8JuFlrfV6gz54/f75e9eHH9NTtI+WYcdRu2xaxIKtrruPSZy/l+8d9n8tnXx7y+40wlWFfHN04DjWTsH83zqlTWb1uXVQFmYHWOi43oaijtdQxO3SIjmOmsnrD+oCCrPpwNV99/qvctPAmLp1xacyGZreL52NY6emBykqc7V3sGj2evQ3bI+plGQ20Fjd4QkLsxevB9oN855Xv8K353+KMCWcMfsGRI9g3VbPvcBJN41JRCd1xEWRv1b/Fe7ve46aFN5GW2N/PZHSJiKd49YnLBfX1HKk8wL6ODNqKWykpG+tTkMWTgwdFD0Uza/7eD+7lcOdhHjjjgeDf1NUF1dXs2dZNR3IqB1MPMWf+/LAFGcCd795JckIyP1r0o7CPUV8v8ZvuhjHDglJqrdZ6yHYZSqk0pLXSPQOeOgz8CPg10K61LlZKaWCH1npiLMYbDiNFlP0e+HiAKPs3sBv43wGi7Eda68/7+bxrgGsACgsL5y1bJjFfPT09NOyBomwntrzwa9torVnbvJYZWTNItobfbN7lggMHUigs7CYhYbjNZtDU1EXzkTQmFHdCavh/l0FNWw3dzm5mZ88O6/2HDiVit1spLo5XVLJ/erscbKlJpHgMFOTa0QEUdVVrFZPSJ2GzxCaG6uhRG7t2pTJ5chspKcNsVnS5qNuiONKdyNy5dqxK06N7+b/6/+PconMpSyuL63C0hqqqTFJSnIwfH/usCIfLgVVZ/QotV2cvGz62kDtBUVYWH/PC6w2vs7p5NbdMuWWQpba9PYHt29OZMKGdjIwQO4HHgKY6O7uq7Ew5JYnUVN/Xy5qmNUxIn0BOov/NULTYvTuF1lYbM2YEEZgYAk7txKpCzB7QmroVdnTzYcrOKMQawU5ea82z+57FpmxcWHxh2MfZtCmL3Fw7JSXDty4vWbIkoCgbiFJqLHAH8PUBT3UDyUg3gG9FZ4SRE2+bTYNSqkhrfcDtmjQqQu0FvMszlwD73Y+X+HjcJ1rrh4GHQSxlixcvpra2lqamNtIaskg41Mbck8tJLMgOeeCdvZ2k2lJZQuTumPZ2KVGTkSHW/OEyBxsuy9LScnLbYEzLYSafNFkGFgHLX13OrpZdfPfk7/oM7g/Ejh1ScmHq1OHdlXV2drJy5Srmzp2D2tfKsbZ9JM+f4TPS1Tg/FrM4pmPq7YWVKz3nznDS2NhIR9d2SmzzmZp1mDF6H9vGJNPZ0MnsubOpKKqI+5jGjhVr0MKFnjZ70WbDwQ3MKJgR8Nyurq5m3xGYNWsKs0ubJZNl2rSYmqkWsxiXdvl0nRuZc5MnR6m/YwQ4nU7+3baeovklnHrqaJIcHWKKmTy5zwzcbm/ntidu46z8s7j1pFtjPqaqKlmbjzsu8mO19rTS1dtFYXp4C1hHRwebK6s5/pQTOO74LLnw6+vFzBnGiR3pfctIEBkJ506oaK13A1e6v1BKnQi8jwgygGuVUtcCP9da/2R4Rukh3nJgOXCF++crgH95Pb5UKZXk7vA+CViltT4AtCmlTnBnV1zu9Z6AGDFkxx1Xwexzx9JrTWbz8nqcR46GNOgPdn/A+U+dz7YjQyV0BE96ugiOlhZpxzQcMWbeMWTHHjuOsccWsr85hX2vVw1OGQuR+067j9+e/duwBBlItmFWVgxanoSAEUM2Z85sjjsuE3Jzqa5PQq9bP6gq6NZDWznvyfNYu39tzMdls8m63Nwccm3FqGLEkJ122jzy8hLZ05yO7u5hUn0LL57xt2ERZCAiXuvY9Z492H6Qa1++lofXPjzk64wYsuOOm0Jrq0I7nHLHD6NxdzC0dLdQfVgKlPuLZUxMlA1g3DMwB2DEkBUVFTJ69GgJFerokHlZvbqvzH96YjpPffEprp13bZzGFb1yGI9tfIyLnr6I5q4AFYR90NHRwYoVqygvn0JBodsP39IiLWK85icYGtob2N60PeQxDB6TfI9L5mWM0Vp/gMSngximvo4YiG5SKkapvSEQy5IYTwEfA1OUUnuVUlcB9wKnK6W2IcF29wJorbcATyNd3P8LfFd7UlS/DfwfEvy/A4k1C0h3d3e/GLKMUYlM+/wE2h3JVL20A300+MaUxRnFLCpdxLjs6MU85OeL+GhsjH+pDF9B/eVTkxl1/ES2H8qi+cOqsBpl7m7Zjd1px2a1MSYj/O2UUmJQsFoHtV+MCwOD+pOTYeKsVI6Omca+lnSpvutVFCszKZOFpQuZPGpyXMY3ZowI+x07hqHSP4OD+seOhc6EDJYnduNKtGHbslVMncNAerrcOCJpLj8UhWmF3H/6/SydsdTva7yD+nNyFE4ntKfkS+2lxEQ5f+rro7obe3Tjo1zx4hV9tcl8YTS3jlutMh/0D+oX54jLhXS7nzevLwnAVVsDLhfFmcWMSh0Vp7FFT5RdPO1ifrTwR+SkhOZ2NcpeTJtWQXp6uqdwbF6e5/zZvFl280HU0vvbhr9x+QuX09bjo2BeSOOS758GUeamEaQUhtb6Ua11odY6UetgMjJiS0xjyoaTadOm6crKykFB/ft32tn23x3MmdpD1ufmDM/gvKipEYvHccfFJ3jb5XKxatUqn0H9DgesX+0gafc2Zo09CscfH5Jv9a5376Kpq4kHz3owKmM1ug9MmyYiNh50dXWxcuVKn0H9mzdDT4eDeclbUG2tMj/DFHF/9KjMzcyZktUbLwYKMhBt8Z8P9nNn5Ve5/dQbOau3TE7qefMidoWHw+7dUrB5/vz4J9XU1NTQ0dHRF9Rvt4u7+Zhj3Oew0ynFQg8ckKruUTqx2+3trNq3ilPKTxnydZWVIs6mT4/Kx4aEy+Vi5cqVfVmWzc2iLWbO9CpI6nJBXR1Prv07BzLgxnPujtv4Nm+W82Xq1Lh9ZD8kXGIlFRUVWK3ZVFbKWPrF97tc4gbfvVsyoQNkJbT2tLKpYRMnjj0xorHV13vuU8NFQ0MDo0ePDjmmzBdKqR8hJblGXBbap1aUKaXagOGuoz9SyUMyUUx8Y87P0JjzMzTm/PjHnJuhMednaKZorSPe6SmlrgT+OhJF2QgpzhATaqKhqD+NKKXWmHPjH3N+hsacn6Ex58c/5twMjTk/Q6OUWhOlQ70KjIAeMoP5NIsyExMTExMTE5N+aK33A2XDPQ5fDHumgYmJiYmJiYmJyadblA2ds/7ZxpyboTHnZ2jM+Rkac378Y87N0JjzMzSf+vn51Ab6m5iYmJiYmJh8kvg0W8pMTExMTExMTD4xfKpEmVLqLqXUJqXUBqXUa0qpMV7P/VgptV0pVaOUOnM4xzlcKKXuV0pVu+foBaVUttdz5vwodYlSaotSyqWUmj/gOXN+lDrL/fdvV0rdMtzjGW6UUn9VSjUqpSq9HstVSr2ulNrm/h7HKnIjC6VUqVLqbaXUVvd19f/cj5tzBCilkpVSq5RSG93zc4f7cXN+3CilrEqp9Uqpl92/f+rn5lMlyoD7tdaztNZzgJeB2wCUUtOApcB04CzgD0qF2iH2U8HrwAyt9SygFvgxmPPjRSVwEfCe94Pm/MjiCPweOBuYBnzZPS+fZf6OnA/e3AK8qbWeBLzp/v2zigO4UWs9FTgB+K77nDHnSOgBTtFazwbmAGcppU7AnB9v/h+w1ev3T/3cfKpEmda61evXNMAImLsAWKa17tFa1yMtm4axNvHwoLV+TWtt9OZYgafZuzk/gNZ6q9baV8Fhc37k792uta7TWtuBZci8fGbRWr8HDGxkeQHwqPvnR4EL4zmmkYTW+oDWep375zbk5lqMOUcAaKHd/avN/aUx5wcApVQJcC7SZtHgUz83nypRBqCUukcptQe4DLelDFkIvJvx7XU/9lnmG3j6iJrzMzTm/JhzECyFWusDIKIEKBjm8YwIlFJlQAWwEnOO+nC75zYgvRhf11qb8+Ph18CPAO9+lJ/6ufnEiTKl1BtKqUofXxcAaK1/orUuBZ4Avme8zcehPpVpp4Hmx/2anyCuhSeMh3wc6jM7P77e5uOxT+X8DIE5ByZhoZRKB54DrhvgzfjM426IPQfxWhynlJoxzEMaESilzgMatdZrh3ss8eYTV9Ffa31akC99EngF+B9kV1/q9VwJsD/KQxsRBJofpdQVwHnAqdpTD8Wcn6H5zMzPEJhzEBwNSqkirfUBpVQRYgH5zKKUsiGC7Amt9fPuh805GoDW+qhS6h0kRtGcH1gEnK+UOgdIBjKVUo/zGZibT5ylbCiUUpO8fj0fqHb/vBxYqpRKUkqVA5OAVfEe33CjlDoLuBk4X2vd6fWUOT9DY84PrAYmKaXKlVKJSOLD8mEe00hkOXCF++crgH8N41iGFaWUAh4Btmqtf+X1lDlHgFIq38iAV0qlAKch96zP/PxorX+stS7RWpcha81bWuuv8hmYm0+cpSwA9yqlpiA+6F3AtwC01luUUk8DVYjb7rtaa+fwDXPY+B2QBLwu6yUrtNbfMudHUEp9AfgtkA+8opTaoLU+05wf0Fo7lFLfQxr5WoG/aq23DPOwhhWl1FPAYiBPKbUXscrfCzytlLoK2A1cMnwjHHYWAV8DNrvjpgBuxZwjgyLgUXdmswV4Wmv9slLqY8z58cen/twxK/qbmJiYmJiYmIwAPlXuSxMTExMTExOTTyqmKDMxMTExMTExGQGYoszExMTExMTEZARgijITExMTExMTkxGAKcpMTExMTExMTEYApigzMTExMTExMRkBmKLMxMQkLJRStyulfjjc4zBQSo1WSi1TSu1QSlUppf6tlJoc4D3tAZ7/t1Hg08TExCTWfNqKx5qYmHyCUEpZo1GI1109/gXgUa31Uvdjc4BCoDbc42qtz4l0bCYmJibBYlrKTExMgkYp9ROlVI1S6g1givuxCUqp/yql1iql3ldKHeP1+Aql1Gql1J2GVUoptVgp9bZS6kmk2rtVKXW/+3WblFLXen3eTV6P3zHE0JYAvVrrPxkPaK03aK3fD+Y4SqkipdR7SqkN7gb1J7kf36mUylNKlSmlKr1e/0Ol1O3un3/gtsxtUkotC3tyTUxMPvOYljITE5OgUErNQ/rQVSBrxzpgLfAw8C2t9Tal1PHAH4BTgN8Av9FaP6WU+taAwx0HzNBa1yulrgFatNbHKqWSgA+VUq8hPUYnuV+rgOVKqZO11u/5GN4M91h8jfuMII7zFeBVrfU97rY3qSFMzS1Auda6x3R1mpiYRIIpykxMTILlJOAFo5m9Umo5kAwsBJ5x91MF6a8KsAC40P3zk8ADXsdapbWud/98BjBLKXWx+/csRESd4f5a73483f24L1E2FMEcZzXwV6WUDXhRa70hhONvAp5QSr0IvBji2ExMTEz6MEWZiYlJKAxslmsBjmqt54R4nA6vnxXwfa31q94vUEqdCfyv1vrPQRxvC3Cxn+dUoONord9TSp0MnAv8Qyl1v9b6Ma+XOOgf7pHs9fO5wMnA+cDPlFLTtdaOIMZsYmJi0g8zpszExCRY3gO+oJRKUUplAJ8HOoF6pdQlIAH3SqnZ7tevAL7o/nnpEMd9Ffi220qFUmqyUirN/fg3lFLp7seLlVIFfo7xFpCklPqm8YBS6lil1OeCOY5SahzQqLX+C/AIMHfA8RuAAqXUKLeL9Tz3+yxAqdb6beBHQDZiiTMxMTEJGdNSZmJiEhRa63VKqX8CG4BdwPvupy4D/qiU+ilgA5YBG4HrgMeVUjcCrwAtfg79f0AZsM6dRXkIuFBr/ZpSairwsds12g58FWj0MTatlPoC8Gul1C1AN7ATuM4d6xboOIuBm5RSve7nLx9w/F6l1J3ASqAeqHY/ZXX/jVmIRe5BrfVRP3+niYmJyZAorQd6I0xMTEwiRymVCnS5BdNS4Mta6wuGe1wmJiYmIxXTUmZiYhIr5gG/c1u/jgLfGN7hmJiYmIxsTEuZiYnJJwal1CjgTR9Pnaq1PhLv8ZiYmJhEE1OUmZiYmJiYmJiMAMzsSxMTExMTExOTEYApykxMTExMTExMRgCmKDMxMTExMTExGQGYoszExMTExMTEZARgijITExMTExMTkxHA/wcTy/WiCh8m8AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x792 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Change default to be better for skew-T\n",
    "fig = plt.figure(figsize=(9, 11))\n",
    "\n",
    "# Initiate the skew-T plot type from MetPy class loaded earlier\n",
    "skew = SkewT(fig, rotation=45)\n",
    "\n",
    "# Plot the data using normal plotting functions, in this case using\n",
    "# log scaling in Y, as dictated by the typical meteorological plot\n",
    "skew.plot(p, T, 'r')\n",
    "skew.plot(p, Td, 'g')\n",
    "skew.plot_barbs(p[::3], u[::3], v[::3], y_clip_radius=0.03)\n",
    "\n",
    "#skew.plot_barbs(p, u, v, y_clip_radius=0.03)\n",
    "\n",
    "# Set some appropriate axes limits for x and y\n",
    "skew.ax.set_xlim(-30, 40)\n",
    "skew.ax.set_ylim(1020, 100)\n",
    "\n",
    "# Add the relevant special lines to plot throughout the figure\n",
    "skew.plot_dry_adiabats(t0=np.arange(233, 533, 10) * units.K,\n",
    "                       alpha=0.25, color='orangered')\n",
    "skew.plot_moist_adiabats(t0=np.arange(233, 400, 5) * units.K,\n",
    "                         alpha=0.25, color='tab:green')\n",
    "\n",
    "skew.plot_mixing_lines(linestyle='dotted', color='tab:blue')\n",
    "\n",
    "# Add some descriptive titles\n",
    "plt.title('{} Sounding'.format(station), loc='left')\n",
    "plt.title('Valid Time: {}'.format(dt), loc='right')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}