local.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "51799cd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.io.img_tiles as cimgt\n",
    "import glob\n",
    "from celluloid import Camera\n",
    "from IPython.display import HTML\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8ba6931e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "import sailboat as sb # local file sailboat.py\n",
    "## this is to be able to edit the sailboat.py file and no need to refress\n",
    "%load_ext autoreload \n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a1c2272c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sat image tile\n",
    "request = cimgt.GoogleTiles(style='satellite')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4eef9f14",
   "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>GPSTimeStamp</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Lat</th>\n",
       "      <th>O2 Concentration [micromolar]</th>\n",
       "      <th>O2 Saturation [%]</th>\n",
       "      <th>Bb(470) [NTU]</th>\n",
       "      <th>Bb(532) [NTU]</th>\n",
       "      <th>Bb(650) [NTU]</th>\n",
       "      <th>CDOM [QSU]</th>\n",
       "      <th>Chl. a [ppb]</th>\n",
       "      <th>Phycocyanin [ppb]</th>\n",
       "      <th>phyco/chla</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>local time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-12-30 18:59:28-05:00</th>\n",
       "      <td>2020-12-30 23:59:28</td>\n",
       "      <td>-80.802025</td>\n",
       "      <td>27.217388</td>\n",
       "      <td>252.22</td>\n",
       "      <td>96.15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>607.66</td>\n",
       "      <td>2189.17</td>\n",
       "      <td>1181.09</td>\n",
       "      <td>0.539515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30 18:59:19-05:00</th>\n",
       "      <td>2020-12-30 23:59:19</td>\n",
       "      <td>-80.802025</td>\n",
       "      <td>27.217390</td>\n",
       "      <td>252.22</td>\n",
       "      <td>96.15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>607.66</td>\n",
       "      <td>2189.17</td>\n",
       "      <td>1181.09</td>\n",
       "      <td>0.539515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30 18:59:06-05:00</th>\n",
       "      <td>2020-12-30 23:59:06</td>\n",
       "      <td>-80.802017</td>\n",
       "      <td>27.217392</td>\n",
       "      <td>252.22</td>\n",
       "      <td>96.15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>607.66</td>\n",
       "      <td>2189.17</td>\n",
       "      <td>1181.09</td>\n",
       "      <td>0.539515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30 18:58:54-05:00</th>\n",
       "      <td>2020-12-30 23:58:54</td>\n",
       "      <td>-80.802017</td>\n",
       "      <td>27.217396</td>\n",
       "      <td>252.22</td>\n",
       "      <td>96.15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>607.66</td>\n",
       "      <td>2189.17</td>\n",
       "      <td>1181.09</td>\n",
       "      <td>0.539515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-30 18:58:48-05:00</th>\n",
       "      <td>2020-12-30 23:58:48</td>\n",
       "      <td>-80.802017</td>\n",
       "      <td>27.217398</td>\n",
       "      <td>252.22</td>\n",
       "      <td>96.15</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>607.66</td>\n",
       "      <td>2189.17</td>\n",
       "      <td>1181.09</td>\n",
       "      <td>0.539515</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30 20:01:26-04:00</th>\n",
       "      <td>2021-03-31 00:01:26</td>\n",
       "      <td>-80.743240</td>\n",
       "      <td>26.981470</td>\n",
       "      <td>240.30</td>\n",
       "      <td>94.44</td>\n",
       "      <td>27.853</td>\n",
       "      <td>26.465</td>\n",
       "      <td>33.236</td>\n",
       "      <td>157.28</td>\n",
       "      <td>21.65</td>\n",
       "      <td>5.23</td>\n",
       "      <td>0.241570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30 20:01:06-04:00</th>\n",
       "      <td>2021-03-31 00:01:06</td>\n",
       "      <td>-80.743393</td>\n",
       "      <td>26.981449</td>\n",
       "      <td>240.30</td>\n",
       "      <td>94.44</td>\n",
       "      <td>27.853</td>\n",
       "      <td>26.465</td>\n",
       "      <td>33.236</td>\n",
       "      <td>157.28</td>\n",
       "      <td>21.65</td>\n",
       "      <td>5.23</td>\n",
       "      <td>0.241570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30 20:00:45-04:00</th>\n",
       "      <td>2021-03-31 00:00:45</td>\n",
       "      <td>-80.743507</td>\n",
       "      <td>26.981367</td>\n",
       "      <td>240.29</td>\n",
       "      <td>94.41</td>\n",
       "      <td>28.095</td>\n",
       "      <td>26.708</td>\n",
       "      <td>33.721</td>\n",
       "      <td>156.05</td>\n",
       "      <td>20.92</td>\n",
       "      <td>5.79</td>\n",
       "      <td>0.276769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30 20:00:25-04:00</th>\n",
       "      <td>2021-03-31 00:00:25</td>\n",
       "      <td>-80.743607</td>\n",
       "      <td>26.981340</td>\n",
       "      <td>240.45</td>\n",
       "      <td>94.51</td>\n",
       "      <td>27.611</td>\n",
       "      <td>26.223</td>\n",
       "      <td>33.236</td>\n",
       "      <td>138.92</td>\n",
       "      <td>22.25</td>\n",
       "      <td>4.72</td>\n",
       "      <td>0.212135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30 20:00:04-04:00</th>\n",
       "      <td>2021-03-31 00:00:04</td>\n",
       "      <td>-80.743752</td>\n",
       "      <td>26.981291</td>\n",
       "      <td>240.45</td>\n",
       "      <td>94.51</td>\n",
       "      <td>27.611</td>\n",
       "      <td>26.223</td>\n",
       "      <td>33.236</td>\n",
       "      <td>138.92</td>\n",
       "      <td>22.25</td>\n",
       "      <td>4.72</td>\n",
       "      <td>0.212135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>215891 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 GPSTimeStamp        Lon        Lat  \\\n",
       "local time                                                            \n",
       "2020-12-30 18:59:28-05:00 2020-12-30 23:59:28 -80.802025  27.217388   \n",
       "2020-12-30 18:59:19-05:00 2020-12-30 23:59:19 -80.802025  27.217390   \n",
       "2020-12-30 18:59:06-05:00 2020-12-30 23:59:06 -80.802017  27.217392   \n",
       "2020-12-30 18:58:54-05:00 2020-12-30 23:58:54 -80.802017  27.217396   \n",
       "2020-12-30 18:58:48-05:00 2020-12-30 23:58:48 -80.802017  27.217398   \n",
       "...                                       ...        ...        ...   \n",
       "2021-03-30 20:01:26-04:00 2021-03-31 00:01:26 -80.743240  26.981470   \n",
       "2021-03-30 20:01:06-04:00 2021-03-31 00:01:06 -80.743393  26.981449   \n",
       "2021-03-30 20:00:45-04:00 2021-03-31 00:00:45 -80.743507  26.981367   \n",
       "2021-03-30 20:00:25-04:00 2021-03-31 00:00:25 -80.743607  26.981340   \n",
       "2021-03-30 20:00:04-04:00 2021-03-31 00:00:04 -80.743752  26.981291   \n",
       "\n",
       "                           O2 Concentration [micromolar]  O2 Saturation [%]  \\\n",
       "local time                                                                    \n",
       "2020-12-30 18:59:28-05:00                         252.22              96.15   \n",
       "2020-12-30 18:59:19-05:00                         252.22              96.15   \n",
       "2020-12-30 18:59:06-05:00                         252.22              96.15   \n",
       "2020-12-30 18:58:54-05:00                         252.22              96.15   \n",
       "2020-12-30 18:58:48-05:00                         252.22              96.15   \n",
       "...                                                  ...                ...   \n",
       "2021-03-30 20:01:26-04:00                         240.30              94.44   \n",
       "2021-03-30 20:01:06-04:00                         240.30              94.44   \n",
       "2021-03-30 20:00:45-04:00                         240.29              94.41   \n",
       "2021-03-30 20:00:25-04:00                         240.45              94.51   \n",
       "2021-03-30 20:00:04-04:00                         240.45              94.51   \n",
       "\n",
       "                           Bb(470) [NTU]  Bb(532) [NTU]  Bb(650) [NTU]  \\\n",
       "local time                                                               \n",
       "2020-12-30 18:59:28-05:00          0.000          0.000          0.000   \n",
       "2020-12-30 18:59:19-05:00          0.000          0.000          0.000   \n",
       "2020-12-30 18:59:06-05:00          0.000          0.000          0.000   \n",
       "2020-12-30 18:58:54-05:00          0.000          0.000          0.000   \n",
       "2020-12-30 18:58:48-05:00          0.000          0.000          0.000   \n",
       "...                                  ...            ...            ...   \n",
       "2021-03-30 20:01:26-04:00         27.853         26.465         33.236   \n",
       "2021-03-30 20:01:06-04:00         27.853         26.465         33.236   \n",
       "2021-03-30 20:00:45-04:00         28.095         26.708         33.721   \n",
       "2021-03-30 20:00:25-04:00         27.611         26.223         33.236   \n",
       "2021-03-30 20:00:04-04:00         27.611         26.223         33.236   \n",
       "\n",
       "                           CDOM [QSU]  Chl. a [ppb]  Phycocyanin [ppb]  \\\n",
       "local time                                                               \n",
       "2020-12-30 18:59:28-05:00      607.66       2189.17            1181.09   \n",
       "2020-12-30 18:59:19-05:00      607.66       2189.17            1181.09   \n",
       "2020-12-30 18:59:06-05:00      607.66       2189.17            1181.09   \n",
       "2020-12-30 18:58:54-05:00      607.66       2189.17            1181.09   \n",
       "2020-12-30 18:58:48-05:00      607.66       2189.17            1181.09   \n",
       "...                               ...           ...                ...   \n",
       "2021-03-30 20:01:26-04:00      157.28         21.65               5.23   \n",
       "2021-03-30 20:01:06-04:00      157.28         21.65               5.23   \n",
       "2021-03-30 20:00:45-04:00      156.05         20.92               5.79   \n",
       "2021-03-30 20:00:25-04:00      138.92         22.25               4.72   \n",
       "2021-03-30 20:00:04-04:00      138.92         22.25               4.72   \n",
       "\n",
       "                           phyco/chla  \n",
       "local time                             \n",
       "2020-12-30 18:59:28-05:00    0.539515  \n",
       "2020-12-30 18:59:19-05:00    0.539515  \n",
       "2020-12-30 18:59:06-05:00    0.539515  \n",
       "2020-12-30 18:58:54-05:00    0.539515  \n",
       "2020-12-30 18:58:48-05:00    0.539515  \n",
       "...                               ...  \n",
       "2021-03-30 20:01:26-04:00    0.241570  \n",
       "2021-03-30 20:01:06-04:00    0.241570  \n",
       "2021-03-30 20:00:45-04:00    0.276769  \n",
       "2021-03-30 20:00:25-04:00    0.212135  \n",
       "2021-03-30 20:00:04-04:00    0.212135  \n",
       "\n",
       "[215891 rows x 12 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files = glob.glob('./Data/*.csv')\n",
    "local = sb.get_data(files)\n",
    "local['phyco/chla'] = local['Phycocyanin [ppb]']/local['Chl. a [ppb]']\n",
    "local.set_index('local time', inplace=True)\n",
    "local"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "2efc69fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GPSTimeStamp                     datetime64[ns]\n",
       "Lon                                     float64\n",
       "Lat                                     float64\n",
       "O2 Concentration [micromolar]           float64\n",
       "O2 Saturation [%]                       float64\n",
       "Bb(470) [NTU]                           float64\n",
       "Bb(532) [NTU]                           float64\n",
       "Bb(650) [NTU]                           float64\n",
       "CDOM [QSU]                              float64\n",
       "Chl. a [ppb]                            float64\n",
       "Phycocyanin [ppb]                       float64\n",
       "phyco/chla                              float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "local.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4e418610",
   "metadata": {},
   "outputs": [],
   "source": [
    "day = local.between_time('6:00', '18:00', include_end=False)\n",
    "night = local.between_time('18:00', '6:00', include_end=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "4a1cf26c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Night time')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2, sharey=True, sharex=True, dpi=200)\n",
    "sb.scatter(day, 'phyco', 'chla', ax=axes[0], colorbar=False)\n",
    "axes[0].set_title('Day time')\n",
    "sb.scatter(night, 'phyco', 'chla', ax=axes[1], colorbar=False)\n",
    "axes[1].set_title('Night time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b874a340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 500.0)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2IUUIAAAAAKhLmOaDjHb44S/pyis/2CiREumPP1arb99hGjXq+zRGBgAAAACoq0imIGNdeOG7ev31H+Iuf8wxr2jatD9SGBEAAAAAACRTkKFKS0v14INfJFzv4INHpiAaAAAAAAA2IJmCjHTVVR/IucTrzZ27UitWrA0+IAAAAAAAfCRTkJGGDfs66br/+Mc7AUYCAAAAAEBFJFOQkVavLk667vTpSwKMBAAAAACAikimICMlM8WnXFlZDSoDAAAAABADyRRkpAYNcpOu27lzswAjAQAAAACgorywA0D2Kiws1uuvz9SCBSvVqVOBDj98SzVsmB+z3qxZS5WTk3ye7957D0i6LgAAAAAAsZBMQeDeeutHnXvu25o3b+VG97p2ba6nnz5E/ft3rbLuF1/M1557PqP168uS6rtVq4bq1q1lUnUBAAAAAIgH03wQqAMPfEEHH/xilYkUSZo9e7kGDHhWxx//ykb3Fi0q1N57D086kSJJw4YdnHRdAAAAAADiQTIFgTnooJEaO/bnuMq++OL3OvHEVytcO/PMt1RUVJp0/1deuYcOP7xX0vUBAAAAAIgHyRQEYsKEuXr77Z8SqvP889/qxx+9bYxLSso0dmxi9cvl5Jgee+xA3XbbPknVBwAAAAAgESRTEIhTThmTVL3jj/dGp4wYMTXp6T2tWzfUWWf1TaouAAAAAACJIpmCGistLdVPPy1Nqu6UKb9LkqZPX5J0/ytXFiddFwAAAACARJFMQY199dXvSdd1TlqxYm2A0QAAAAAAkFokU1BjCxasqlH9efNWqVev1knXb9o0v0b9AwAAAACQCJIpqLGePZNPhEhSt27NdfLJ2ysvL7m/jkcdtVWN+gcAAAAAIBEkU1BjvXq1kVlydfPyctSwYb7y8nJ0wAHdEq5vJt1+O7v4AAAAAADSh2QKArHrrh2TqjdoUPe/jp944iDl5iZW/6STtlezZg2S6hsAAAAAgGSQTEEgXnzxqKTqPf/8YX8dv/TS9yotjb/uttu20TPPHJpUvwAAAAAAJItkCgLRuXOBbrqpf0J1HnnkbyooaChJWrBghS655L2E6n/33WKtXcu2yAAAAACA9CKZgsBcd93eca9f8thjB+qcc/r9dX7ccaMT7s856bTT3ki4HgAAAAAANUEyBYG64oo9tGrVVTriiJ6qV6/iX6/8/Fwdf/w2Kiq6Vmed1bfCvc8+m59Uf6NHz0g6VgAAAAAAkpEXdgCZxszulHRZxKUBzrnxMeoMknSmpH6S2khaLOlLSU84596Ns99Gks6TdLSk7pLyJc2T9LakB51zcxP7TcLTpEm+Ro8+Nu7y06b9obIyl1RfxcVlKi0tVW6iK9cCAAAAAJAkRqZEMLPtJF2UQHkzs8clvSPpcEkd5CVBOvjn75jZ42bVbxxsZt0kTZF0p6SdJLWQ1FhST0mXSJpmZoMT/41qhx9+WFKj+nPnrgwoEgAAAAAAYiOZ4jOzHEnD5I3WWRRntZvljUiRpK8lDZE3OmWIfy7//r+q6beJpLckbelfGiZpH0m7SbpGUqGkAkmjzKx3nHHVKm3aNKpR/XbtGgcUCQAAAAAAsZFM2eD/5I0KmSnpqViFzay7pMv908mSdnfOveScm+Sce0nSHv51SbrCH31SlUvljUCRpMudc2c658Y55z53zt0qaX9JJZIaSbo/id8r4+22W+ek65pJDRvmBxgNAAAAAADVI5kiycw6acPokXMkxbPf7kXasObM+c65tZE3nXNrJJ3vn+ZJurCKfutJusA/nSHpnsplnHOfa0NyZ4CZ7RhHbLVKfn6uOnVqllTd7bZrF3A0AAAAAABUj2SK5xFJTSSNiLXYrOStlSLpUP90pnNuYlXl/Os/+KeHVbF2Sn9Jzf3jEc65sihdDo84PiJWfLXR0KHbJVXvuecODzgSAAAAAACqV+eTKWZ2jKSDJC1VxV18qtNV3iKzkvRRjLLl9ztK6lLp3p5VlKvKZEmr/eM94oivVlm5cp3uuGNCUnWXL18XcDQAAAAAAFSvTidTzKy5pAf80yucc4vjrNor4nhmjLKR93tVuhdXO865EkmzorRR61155QcqKYk2KKd6hxzyYsDRAAAAAABQvbzYRbLanZLaSfpMcSw6G6FTxPH8GGXnRakXeb7aObc8jnZ6S2pjZvWdc0Uxo/SZWccYRUJdeOT556clXXfZsnUaM2amDj20Z+zCAABksUx/3gMAkE3qbDLFzPaQdLq8nXLOds65BKo3jTgujFF2dcRxkyjtxGqjqnbiTqaoYkInoyxZskarVsWz3m90118/nmQKAAAZ/LwHACDb1MlpPmaWL+kJSSbpPufctwk20SDiOFYmIDLp0TBKO/FkE6prp9aaP39FjduYPXt5zQMBAAAAACBOdXVkytXy1h6ZK+nGJOpHrnqaH6Ns/YjjtZXulbcTq41Y7cRSeXpRZe0kTUqwzUC0aFHzvFCy660AAJBlMvZ5DwBAtqlzyRQz6ynpKv/0fOfc6urKR7Eq4rjy1J3KGkccV57OU95OrDZitVMt51y167psvGNz+nTq1Ex5eTk1Sog0aFDn/hoDALCRTH7eAwCQberiv0IvkjcS5BdJjczsuCrKbBNxPNDMyhdse9NPvkS+rMRa7C3yW6LKc5nnS9pZUmMzax5jEdrydhYnsvhspsvJydHAgV303nu/JN3GTju1DzAiAAAAAACqVxeTKeXTZTaXFM++utdFHHeVtxDs9IhrsVY+jbw/o9K96ZKOjCg3saoGzCxPUrcobdR69957gLbZ5tGk69933wFJ1Zs6daGefHKKpk9frKKiUrVu3UgHH7yFhgzZRo0bxzPzCgAAAABQF9XFZEoQZkv6TVJ7SXvHKLuX/3OBpDmV7n0acby3oiRTJPXVhmk+E+KOspbYeuu2OvfcnfTII4lP4+7Vq7V69WqTUJ3vvluks856S599tvGmB2+88YMuvfQ9XXLJrrrmmr2Uk8OQaAAAAABARXVuNx/n3MnOOavuo4qL0g6IuDfHb8NJGuPf72lmu1TVl3+9fGTKmCq2Xx4vqXw7m5Ms+mTmkyOOX4vn96xtHn54sM44Y4eE6phJ//pX/4TqTJw4X7vv/nSViZRyK1YU6Z//HK8TT3xNZWWJ7JgNAAAAAKgL6lwyJUD3Syrxjx8yswrb0vjnD/mnJX75CpxzxZIe9E97Sbq0chkz21XSaf7pR865rF2F/4knDtYHHwxV27aN4irvnHTUUa9o880fUGlpaczyv/++Sgcf/KJWroxvyZmRI7/VDTeMj6ssAAAAAKDuIJmSJOfcj5Lu9k/7SppgZseaWV8zO1bedJy+/v27nHM/RWnqLkk/+sd3mtnjZjbAzHYxs6skvSdvOtZaSRem4nfJJAMHdtUff1ym778/S/FuOjB79nK1a3dvzITKQw99qSVL1iQUzz33fK4VK9bFLggAAAAAqDNIptTMNZKe9o/7SHpJ0iT/Zx//+lOSro3WgHNulaQDJZUnW86UNE7S55Julbdt8kpJxzjnpgYbfuY6/PBR2mhSVDWWLFmjwYNHRr1fVFSip576OuE41qxZr2ef/SbhegAAAACA7EUypQacc2XOudPkJUPGyFuUttj/OUbSYOfc6c65shjt/Cwv+XKFpMmSlktaI+kHSfdJ6u2ceytVv0emWbFirX78cWnC9d5//5eoo1MmTpyvRYtWJxXPa6/NTKoeAAAAACA7sZtPFZxzN0i6IYHyYyWNrWGfqyXd6X/qtBNOSG6NXeekf/5zvG65ZZ+N7iWbSKlpXQAAAABA9mFkCjJOdTvtxDJq1PQqr9erl5t0m/n5ydcFAAAAAGQfkinIOEVFsXfmiWb16uIqr2+xRauk2+zRI/m6AAAAAIDsQzIFGadeveT/WjZoUPXMta22aqN+/Tok1eapp26fdDwAAAAAgOxDMgUZZ8stWyddd7fdOkW9d955OyXcXvfuLbXfft2SjgcAAAAAkH1IpiDjPPfcYUnXfeKJg6LeO/74bbX//vEnRurVy9ETTxyknBxLOh4AAAAAQPYhmYKMs8UWrdW6dcOE6/Xq1VoNG+ZHvZ+Xl6NXXjla++23ecy2GjbM06hRR2vAgK4JxwEAAAAAyG4kU5CRJk48XZbAgJB69XL05ZdnxCzXtGl9vf328Xr88YO07bZtN7rfsGGeTjutj7766kwdemjPREIGAAAAANQRVa/WCYSsW7eWmjTpDO2885MqLXXVlm3QIE8///wPNWkSfVRKpHr1cnXmmTvqjDN20KRJv2nGjMUqKipV69aNNGBAF7VokfioGAAAAABA3UEyBRlrxx3ba9WqKzV06BiNGTNT69eXVbjfoEGeTjyxtx59dLByc3MTbt/M1K9fh6R3+QEAAAAA1E0kU5DRGjbM16hRR0uSvvxyvr74YoHy8kx77tlF22yz8TQdAAAAAABSjWQKao1+/TqqX7+OYYcBAAAAAKjjSKYgI9177+f6+ONfVVRUoq5dW+jGG/dWmzZNwg4LAAAAAACSKcgchYXFGjz4BU2YME9lZRUXnX300cnq0KGpnnnmUO23X7fA+nz//VkaM+YHrVpVpC5dmuvii3dRQQEL0AIAAAAAoiOZgowwY8Zi9e79mEpKyqKWWbBglfbf/3ldffUeuuWWfZLuq7S0VGee+ZZeeOFbFRWVVrh3000fa7PNCjR8+KHq379r0n0AAAAAALJXTtgBAEuXro2ZSIl0662f6qGHvkiqr8LCYrVqdZeefnrqRomUcr/+ukIDBjyriy/+b1J9AAAAAACyG8kUhG7ffZ+NO5FS7qKLEk90lJaWqmPHe7ViRVFc5e+7b6L+9a+PEu4HAAAAAJDdSKYgVKWlpfr664VJ1HO6557PEqpz8slj4k6klLv++vEqLa16BAsAAAAAoG4imYJQXX31h0nXve22TxMq//LL3yfch3PSBRcw3QcAAAAAsAEL0CJlli9fp1tv/UQzZixWaalTx47NdNllu6lHj1Z/lZkwYW7S7ScyyuSNN2aquDixqUTlnnlmqv7978FJ1QUAAAAAZB+SKQjcTz/9qb///VVNmvSbXMUdjjVs2BR169ZCDz88WAcc0F3r1pUk3Y+r3Hg1Ro+ekXQ/a9euT7ouAAAAACD7kExBoMaPn6P99nuu2gVlZ81apkGDXtDdd++ndu2aJN1XvXq5cZctLCxOup8EcjYAAAAAgDqANVMQmJ9++jNmIiXSpZe+r91265R0f337bhp32Y4dmyXdT06OJV0XAAAAAJB9SKYgMCec8GrCWxzfdddnato0P6n+XnjhyLjLXn75bkn1IUkdOjRNui4AAAAAIPuQTEEgli5do8mTf0u43vLl63TccVsnXK979xbq3Lkg7vIdOhRok00aJ9yPJD3yyIFJ1QMAAAAAZCeSKQjELbd8mvTaIlOn/qEjj+wVd/kmTfL1/ffnJdzPww8nviNPs2b5OuigLRKuBwAAAADIXiRTEIgZMxYnXfe331bplVeO0Tnn9I1ZtkuXAv355+XKz49/8dlyRx65lYYO7R13+dxc0/Tp5ybcDwAAAAAgu5FMQSBKSxNbKyVSWZk3pOWRRw5UUdG1Oumk3mrYME9mkpmUl5ejPn3aafr0czV79oVJJVLKjRhxuC64YOeY5Zo2zdevv16gDh3in0oEAAAAAKgb2BoZgejQIfndclq0aPDXcX5+roYPP1zDhx8eRFhVuv/+QbrttoE65ZQ39PrrM1VUVCrJS9y0b99UDzwwSEceuVXK+gcAAAAA1G4kUxCIyy7bTc88MzWpuqee2ifYYOLQsGG+XnrpqLT3CwAAAACo/Zjmg0D06tVGXbs2T7hefn6OLrpol+ADAgAAAAAgRUimIDAPPjgo4To9erRUTg5/DQEAAAAAtQf/ikVgDjpoS+XmWkJ1vv9+icaO/SlFEQEAAAAAEDySKQjMvfd+rtJSl3C9s89+KwXRAAAAAACQGiRTEJibb/44qXrz5q3U0qVrA44GAAAAAIDUIJmCwCxbti7pum3b3qn7758YYDQAAAAAAKQGyRRkhNJS6aKL/qsDD3wh7FAAAAAAAKgWyRRklLFjf9aRR/4n7DAAAAAAAIiKZAoCU79+biDtvPrqTL377o+BtAUAAAAAQNBIpiAwRx+9VWBt/e1vL2rx4sLA2gMAAAAAICgkUxCYp546NND2Dj/85UDbAwAAAAAgCCRTEJj8/FzlBjPTR5L02WfzVFpaGlyDAAAAAAAEgGQKAnPEEf9RkLkP56Thw78JrkEAAAAAAAJAMgWBWLu2WK+9NjPwdr/66vfA2wQAAAAAoCZIpiAQQ4eOCTsEAAAAAADSgmQKAvHWW6nZyniXXTqkpF0AAAAAAJJFMgWBKCoqCbzNnBzT0KHbB94uAAAAAAA1QTIFGWvPPTuHHQIAAAAAABshmYJA1KsX7F+lnBzTmDHHBtomAAAAAABBIJmCQDRokBdYW2bShAmnqKCgYWBtAgAAAAAQlOD+BYw66/jjR2vlyuJA2mrfvok+/vgUdevWMpD2AAAAAAAIGskURLVo0WpNmDBXixat1ltv/aglS9aqfv1c9ejRUnfcsZ9atmyopUvX6KWXvqtxX507N9MXX5yhdu2aBBA5AACoztChi/XTT6Y1a5arqOh3tWy5QC1alGn//TfT7bfvrdzc3LjbWrBgpSZO/E0rVxapadN89evXXp07F6QwegAAwkcyBRUsWLBSCxf+pvvum6iXXvpWZWUbl/noo1/15JNfq2PHZtp++03kXM37bdeuKYkUAADS5MMP50r6RtIiSdLq1dK8edK0aUt0992T1atXS3366Qlq2TL6lNtPPpmr++77Um+88aNKSze8DJhJBx3UQxde2E8DB3ZJ7S8CAEBISKaggt12e0plZc3iKjt//krNn78ykH7Xrl0fSDsAACAeX0hqXsV1LykyY8ZStW79kKZMOUnbb7/JRqVuvXWCrrlmfJUtOye9+eZPevPNn3Tttbvrppv2lpkFFjkAAJmABWhRQVlZAMNMktCmTaNQ+gUAAFVzTtpxxxFavLiwwvUHHvgyaiKlsptvnqDbbvssBdEBABAukinICFdeuYckadSo73Xiia/q8MNf0gUXvKOFCwtj1AQAAKlSViYNHPjyX+cLFqzUpZd+kFAb1133kWbNWhZ0aAAAhIppPghdgwa5euKJKRo8eKRKSiou0vLgg19q002b6LHHDtQhh/QMKUIAAOqu775botLSUuXm5mrYsKkbPatjKStzevzxKbrzzn1SFCEAAOnHyBSErrS0TK+8Mj3qy9nvvxfq0EP/ozPPfDPNkQEAAEm65JIPJUlPP/1NUvWffvqb0KYSAwCQCiRTELr16+N7uRo2bIquuSaxocUAAKDmJk1aqLVr12vevOQWnv/zz7VaunRtwFEBABAekimoVW699VOVlpaGHQYAAHXKunWlKiqq2fO3qKgkoGgAAAgfyRTUOuecMzbsEAAAqFM23bSxmjWrr/z83KTqm0ktWzYMOCoAAMJDMgW1zvPPTws7BAAA6pSbb95TOTmmgw/ukVT9QYO6qWHDegFHBQBAeEimoNZZt45hwgAApEvjxvW0/fabSJLOOWeHpNpIth4AAJmKZApqHcdmAAAApM099/T/63jgwC7ac89OCdXv23dTDR7cPeCoAAAIF8kU1Do5ORZ2CAAA1AlHH72Fzjqrz1/nZqZXXz1KW23VOq763bu30JgxRys3l1dOAEB24cmGCk4+eXuddlof1auXuX81NtusIOwQAACo5drELHH++Tvo5ZcP2+h669aN9OmnQ3XssVtF/YLDTDr88C312WcnqX37pjUNFgCAjGOOORN1npl1lDRPkubNm6eOHTtq4cJCPfXUFP3vf7P0zTeLtGJFkcr/ruTn52rvvTfTxInztHLl+rTH+957f9d++3VLe78AgPSZP3++OnX6azpJJ+fc/DDjyQaRz3vpC0kNJc2StExSsaTVys8v04knbqXHHz9Aubmxd+6ZO3eFhg37WhMmzNfKlUVq0iRfu+7aUWee2UdduzZP1a8CAMgCtf1ZTzIFVSZT4jF69HQdddSoVIa2kebNG2jZsivS2icAIP1q+wtWJkr2eQ8AQCrU9md95s7lQMY78sitdPnlu6etv7y8HP3443lp6w8AAAAAgKqQTEGN3HHHvhoyZOuU99OiRQP99ttFatOmScr7AgAAAACgOiRTUCOTJi3QSy99n7L2N9usQB98MFRLl15BIgUAAAAAkBFIpqBGzj33baVy2Z0rrthdAwd2TV0HAAAAAAAkiGQKkrZ06Rp99dXvKe1j2rQ/Uto+AAAAAACJIpmCpD3wwMSUjkqRpLVrS1LbAQAAAAAACSKZgqT88MMS3XrrhJT307Jlw5T3AQAAAABAIkimIGELFxaqT5/HVVJSlvK+Bg3qnvI+AAAAAABIBMkUJOyQQ15My/Sb7t1bat99N095PwAAAAAAJIJkChKydOkaTZ78W1r6uuKK3ZWTY2npCwAAAACAeJFMQUKuuWZcyhedLXfffZ+puLhE48bN1ssvf6/x4+eouJgFaQEAAAAA4coLOwDULqneCjnS9Ol/qn79Wypcy8kx9e+/me67b5B6994kbbEAAAAAAFCOkSlIyLp14Y4MKStzGjdujrbb7jFdc824UGMBAAAAANRNJFOQkObNG4Qdwl9uvfUT3Xjj+LDDAAAAAADUMSRTkJDjjtsm7BAquOGGjzR37oqwwwAAAAAA1CEkU5CQs8/eUQ0a5IYdRgWXXvpe2CEAAAAAAOoQkilISE5Ojk4/fYeww6jgjTd+CDsEAAAAAEAdQjIFCXvoocHq16992GH8paioVIWFxWGHAQAAAACoI0imoEpPPTVF7drdrby8m5Sbe5Pq1fuXund/UOPHz5Ykff75aWraND/kKDdYvHh12CEAAAAAAOqIvLADQGYZN262zjjjGRUXl1W4XlbmNGvWMg0Y8KyaNauvqVPP0o8/nq9NN70npEgr2nTTpmGHAAAAAACoIxiZggpOOum1jRIpla1cWaTu3R/SypXr1KBB+Pm4goL6GREHAAAAAKBuIJmCpJSVOfXu/ZjmzPlH2KHopJO2CzsEAAAAAEAdQjIFSSsqKtXw4d+qR4+WocWQl5ejW27ZJ7T+AQAAAAB1D8kU1Mjtt0/QO++cEErfZtIrrxytJk0yZyFcAAAAAED2C3ShCTN7Osj2onDOudPS0A/isHz5OjVunP5kRn5+jkaNOkaHHLJl2vsGAAAAANRtQa/aebIkF3Cbkcxvn2RKBjn11NdT1naDBrlat670r/M2bRrp3HP76uqr91R+PovOAgAAAADSL1X/Gv1d0vqA26wnqX3AbSIAs2YtS0m7hx22pV577biUtA0AAAAAQLJSlUzZ3zk3PcgGzWwbSdOCbBM1Z+bt7JMK11yze0raBQAAAACgJmrTArSpnD6EJPXuvYnatm2ckrZ32ulpmd2oNm3u0jXXjFNxcUlK+gEAAAAAIBG1KZmCDPT880follsGprSPJUvW6NZbP1GTJrfptddmpLQvAAAAAABiCTqZ0lXS5pJ+DLhdSfohon1kgL326qxttmmrPffsnJb+1q8v0xFHvKxXXgl0BhkAAAAAAAkJNJninPvV/wQ+H8M5V1LeftBtY4OCggZxlevTp50++ugUSdITT3yVypA2ctxxr2j58nVp7RMAAAAAgHJ1cpqPmTUzs+PM7B4z+8jMfjazFWZWbGaLzGy8mV1uZq3ibG+Qmb1qZvPNrMj/+aqZDUogpkZmdpmZfWlmS82s0MxmmNndZpaeoR+SJk06XS1bVp9Q6dy5mT7++JS/zqdMWZjqsCooLXW6+uoP0tonAAAAAADl6mQyRVI/SS9KuljSXpK6SWomb/vlNpL2lnSHpJlmdkC0RszzuKR3JB0uqYOkfP/n4ZLeMbPHzcyqC8bMukmaIulOSTtJaiGpsaSeki6RNM3MBif92yagZ8+HtXRp9aM+5s5dqdat79TcuSskSbm56f9r9PzzbOwEAAAAAAhHKMkUM9vEzI41s3+Z2cP+51/+tU3SFMY8Sc9KukDSEZJ2lbS7pGMljZJUKqm1pDfMrHeUNm6WdKZ//LWkIfISNUP8c/n3/xUtCDNrIuktSVv6l4ZJ2kfSbpKukVQoqUDSqGriCEy82xwXFZWqZ89/a82aYu2xR9oGzvxl1apirVzJVB8AAAAAQPrlpbMzM+sk6W5Jh1XTd6mZvSbpMufc3BSF8qFzrroMwMtmdpik1+SNNLle0pGRBcysu6TL/dPJkvZyzq31zyeZ2RuSPpLUV9IVZvaMc25WFX1dKm8EiiRd7py7K+Le52b2oaSPJTWSdL+k1G6dk4C1a0t0zjlva8SIw3Xiia+lvf8FC1apWbP41ngBAAAAACAoaRuZYmZ7SvpW0lHyptNYlE+eX2aame2Rilicc6VxlHld0kz/dK8qilykDQmh8yMSKeX110g63z/Nk3Rh5QbMrJ68kTGSNEPSPVXE8bmkp/zTAWa2Y6zY02nkyG/1009LQum7TZvGofQLAAAAAKjb0pJMMbMOkt6Uty6JyVtj5GhJm0lq4H82k5dEGeuXaSbpTTNrn44Yo1jt/6ww/MFfA+VQ/3Smc25iVZX96z/4p4dVsXZKf0nN/eMRzrmyKHEMjzg+ImbUaVRS4jRo0Mi095ufn6vWrRulvV8AAAAAANI1MuVKecmRUklDnXMHOudGO+fmOeeK/c8859yrzrmDJP1dUplf58o0xViBmfWStL1/OrPS7a7yFpmVvKk81Sm/31FSl0r39qyiXFUma0NiJyWjdWpizpzlae/zwAN7pL1PAAAAAACk9CVTBktykoY5556PVdg5N1LSE/JGqByY4tj+4m9P3MPMLpb0oaRc/9YDlYr2ijiunGipLPJ+r0r34mrHOVciqXy9lcpthC7eRWuDdN99UTdZAgAAAAAgpdK1AG35VJ1RCdQZJensiLopYWYnS3qmmiJ3S3qh0rVOEcfzY3QxL0q9yPPVzrnlcbTTW1IbM6vvnCuKUf4vZtYxRpF28bZVlZwcqSzaBKUUuO66vbTZZs3T1yEAALVAqp/3AABgg3QlU5ZJ2kTSigTqlJddFnw4cZkq6Wzn3BdV3GsacVwYo53VEcdNorQTq42q2ok7maKKCZ3AtWxZX0uWJBJO8q66ag/ddNOAtPQFAEAtk9LnPQAA2CBd03wm+z+3TaBOednJ1Zaqudf9vraV1E/SEHlbIm8v6QUzO6iKOpEL0hbHaD8yy9AwSjux2ojVTmh6926jIUO2S1t/J5yQyF8hAAAAAACCl65kyoPy1j+53MxibsHil7lC3jorD6UyMOfccufcd/5nknPuJefcEZKGStpc0hh/KlCkdRHH+TG6qB9xvLbSvfJ2YrURq51YOsX47JRge3956qnD1LZt+rYofvbZb9LWFwAAtUzKnvcAAKCitCRTnHP/k3SjvMVTx5vZ9tHKmtl28hZ/3VLSjc6599MRY2XOuefkrduSI+nfZtYi4vaqiOPKU3cqi8w0VJ7OU95OrDZitVMt59z86j6SFibSXrmHHvqb+vZtryZN4skFBWP27OVp6wsAgNokVc97AACwsUDXTDGzf1Zz28mbstNX0ldm9q2kSZIW+fc2kfeNSYXpPWb2T+fcTUHGmYAxko6Rl8j4m6SR/vXIRWdjLfYWuehs5bnM8yXtLKmxmTWPsQhteTuLE1l8NlGDB3fX2LGLY5Z74YXDdPzx2/1V56KL/puqkCoIY+cgAAAAAAAiBb0A7Q3yEiPVcfKm/JSvU1KZ+WX6+h9JCiuZEplV2CzieHrEcc8YbUTen1Hp3nRJR0aUm1hVA2aWJ6lblDYC9fjjh6hRo1Y69thR+uCD2XIR/zXz83N15ZW768YbKy4Au8UWrdW4cT2tXr0+laFJkjbdNJ5BPAAAAAAApE4qdvOxAMrF20aqdYg4jpxaM1vSb/K2bd47Rht7+T8XSJpT6d6nEcd7K0oyRV5SqXyaz4QY/dVYy5YN9f77QxOqc/75O+v22z+NXbCGjj12m5T3AQAAAABAdQJdM8U5l5OKT5AxJujoiONvyw+cc07eFCBJ6mlmu1RV2b9ePjJljF8v0nht2AL6JDOLlkQ6OeL4tdhhp99tt+2jpk1Tu3bKNtu01e67d4pdEAAAAACAFAozUREaMzvZzBrEKHORpMH+6RxVHEUiSfdLKvGPHzKzCtsV++flOxGV+OUrcM4Vy9vpSPIW5720ijh2lXSaf/qRc25SdXGH6fffL1ZOTuoGFW25ZSvde+/nmjVracr6AAAAAAAgljqZTJG3tssCM3vCzIaa2e5mtp2Z7WFm55jZp5Lu9csWSzrDOVcS2YBz7kdJd/unfSVNMLNjzayvmR0rbzpO+ZovdznnfooSy12SfvSP7zSzx81sgJntYmZXSXpP3nSstZIurPFvnkKNG9fXjz+epwYNUjF7TBo9eoYuvfR9de/+kAYNel6ffVZ5PV8AAAAAAFLPNp55kv3MbI4qLigbzXxJp0bbntnMciQNk3RqNW08JelM51xZNfF0lzRWUo8oRVZKOsE591YcMSfMzDrK32lo3rx56tgx1gZF1fv11+U6+uhRmjTptyDCiyovL0dPP32ITjxxu5T2AwBIv/nz56tTp7+mdnbyt/ZFDQT9vAcAoCZq+7M+7SNTzKy1mV1iZu+Y2TwzW+1/5vnXLjGz1ikOYx9JZ0v6j6Rpkv6QNxWnUNIsSaMlnSJpy2iJFElyzpU5506TdKC8NVR+kzeS5Tf/fLBz7vTqEil+Oz9L6iPpCnlbQi+XtEbSD5Luk9Q7VYmUVNhss+b64ovT9fHHJ6e0n5KSMp188hj9978/p7QfAAAAAAAipWY+RhRmdqGkf0lqVH4p4nYHebvj7C/pBjO71jn3QCricM7Nkpc0eTyg9sbKG1lSkzZWS7rT/9R6ZqZZs/5MeT9lZU4XXPCuZsw4T9HX7wUAAAAAIDhpG5liZvdKukfeFr8mbxebDyW9JG+EyIfyRmSYX+Zevw5qqXStafLDD39q3LjZaekLAAAAAIC0JFPMbJC8xVNN3jokx0pq65zbxzl3vHNuiHNuH0lt/Xtz/bIXmNn+6YgRwdt88xZp6+u556alrS8AAAAAQN2WrpEp5/s/f5O0s3NuVOXdcSTJOVfqnBslaRe/rCRdkKYYEbB//GOXtPU1d+6KtPUFAAAAAKjb0pVM2UmSk3Sbc+73WIWdcwsl3SZvdMpOKY4NKdKkSb5yc9OzjklZWd3blQoAAAAAEI50JVMa+z+/SKBOednG1ZZCRrv22r3S0k/79k3T0g8AAAAAAOnazWe+pO6S6idQp7zsguDDQSxTp/6uk08eo9mzl6ukpEwNGuRp4MCuevbZQ9WwYX7UeuvWleiWWz7Wp5/O1erV69W8eQOZSS7FA0eGDNkmtR0AAAAAAOBLVzLlbXlrn/xN0oQ46wyOqIs0+f77P7Ttti9o+fJ1Fa6vWbNer7wyXa+8Ml3bb99Okyefrtzc3L/uFxYW66ijXtb//veLSkvTO+Vms80KNHhwj7T2CQAAAACou9I1zeduSUskXWxmu8cqbGa7SbpI0mK/LtJk0KCNEymVTZ26UC1b3qni4lJJ0sKFherc+T7997+z0p5IkaQ77thXublp2+UbAAAAAFDHpeVfoM653+SNNFko6QMzu9/Mtjezv/o3z/Zmdp+kcX7ZvznnmOaTgVauLFb37g+qpKRM2233qJYtqz4Bkyr33LO/jj2WKT4AAAAAgPRJyzQfM/vFP2wkKV/eVsnnSyo2s6Xydvpp5d+TvF18Gkl6xSzqbjDOOdctZUEjpnnzVur009/QokVrQovh4ot3Da1vAAAAAEDdlK41U7pUOi/PkNSXtGmUOm1jtMleuBngueemhR0CAAAAAABpla5kyog09YM0KysLL6eVkyMVFZUoPz9X1YxgAgAAAAAgUGlJpjjnTklHP6hbnJMaNLhFeXk52mmn9jr77L465pit1aBBunKEAAAAAIC6iC1QUGs5f1BMSUmZPv98vk466XV16XK/Pvnk13ADAwAAAABkNZIpyCp//LFa++33nMaPnxN2KAAAAACALBXafAgz20TSNpJa+peWSvrOOfdHWDEhcTk5Fuq6KVUpKirVkUe+rJ9/Pl8tWjQMOxwAAAAAQJZJ68gUM8sxs3PM7FtJv0l6T9JL/uc9Sb+Z2bd+GUbN1AJ///u2YYdQpaVL12r48KlhhwEAAAAAyEJpS1j4I1G+lPRvSVvJ2x65qs9WfpkvzKxduuJD4vr0aafHHz9YOTmZuZPOo49OlnOZNWoGAAAAAFD7pSWZYmYNJI2T1EdewmSJpIclnSRpkKS/+cf/lrTYL7OjpP+ZWf10xAhPvImRLl0KNGXKWWrQIE8jRhya4qiS89NPS7VwYWHYYQAAAAAAsky6RqZcJKmXf/yUpM2dc+c7555zzr3nnPuvf/x/kjaXNMwv28uvizSZNOlMdevWIur9nBzTkUf20uzZF/517e9/304NG+amIbrErVhRFHYIAAAAAIAsk65kyrGSnKT3nXNnOOdWRyvonFvjnDtL3hoqJum4NMUISW3bNtbPP/+fli+/XEcdtZW6dm2u9u2baMstW+nWWweqtPSfeuWVYzaq99BDg0OINrbGjeuFHQIAAAAAIMukazef7v7PRxKo84ik/SV1Cz4cxFJQ0FCjRh0dd/nTTttBU6cu1L//PSmFUSWmQ4em6tChWdhhAAAAAACyTLpGppTPtZiXQJ3yssUBx4IUOfzwXrELpdGZZ+6YsYvjAgAAAABqr3QlU2b6PzslUKe87MxqSyEjTJv2h/bd99mww6jgjDN2CDsEAAAAAEAWSlcyZbi89U/OTqDO2fLWWcmsf6GjSnvvPVyZtgtx06ZsBAUAAAAACF66kilPSvqvpAPM7BF/q+QqmVl9M/u3vC2T33POPZ6mGJGkqVN/1/Ll68IOYyPFxaVhhwAAAAAAyELpWoB2T0n3Smop6SxJh5nZy5ImSVokbwTKJpJ2knS0pHb+vXvMbK9ojTrnPk5x3IjDySePCTuEKrVs2TDsEAAAAAAAWShdyZTx8hIm5TaRdH6MOn3ljWaJxil98aMav/yyLOwQNtKiRdTBTwAAAAAA1Eg6kxFsq5KlSkrKwg5hI9deG3VAEwAAAAAANZKuZMqANPWDENSvn6e1a0vCDqOCQw/dMuwQAAAAAABZKi3JFOfcR+noB+HYY4/OeuutH8MOo4I+fR7XypVXhR0GAAAAACALpWs3H2Sx558/LOwQNrJqVbHGjZsddhgAAAAAgCxEMgU1VlDQUD17tg47jI2ceeabYYcAAAAAAMhCJFMQiG++OVuNGtULO4wK5s5dEXYIAABkvOLiEi1aVKiyssxbUB4AgEwV6JopZvZP//AR59ySgNtuI+kcSXLO3RRk26i5/PxcLVlyqbp2fVB//LE67HAkSaWlLnYhAADqoIULC3XZZa/p9dd/1Lp1GxaRb926oc4+ewddd90eys9P56aPAADULuZccP/gNLMySU7Sts656YE17LW9taRvJTnnXG6Qbdd1ZtZR0jxJmjdvnjp27Fij9saO/UkHHjgyiNBqJC8vR+vXXxd2GACAJMyfP1+dOnUqP+3knJsfZjzZIPJ5L10mqSBq2fr1c/Xuu8epf/8u6QgNAFAH1fZnPdN8EJjly9fpqaem6Ouvfw87FElS27aNwg4BAIBaqaioVPvsM1Iffzw37FAAAMhIqRq/uZOZBb0iadeA20NAPv54js45521Nnx7ozK4au+uu/cMOAQCAWquszOlvf3tRq1Zdppwcvn8DACBSqpIpT6eoXWSQsrIyDRw4Qh99lHnfWtWvn6vjj9827DAAAKjV1qwp0UMPTdYFF/QLOxQAADJKKr5msBR+kCEKC4vVqtVdGZlIkaR33z0h7BAAAMgK99wzMewQAADIOEGPTBkQcHvIED/++KcefPAr/f77ajVrlq+3356u5cvXhR3WRsyk118/Vv37MysMAIAgLFhQGHYIAABknECTKc65j4JsD+F79NGvdc01H2vZsqKIq8WSSsMKKapBg7rppZeOVEFBw7BDAQAga5SVBbfzIwAA2SJVa6YgC+yzz0saN66qaTyZlUjZd9+uev/9oWGHAQBAlvGSKGamwsJiNWmSH3I8AABkDpZmR5UOPXR0lERKSdpjiaZRo3p64YUjSKQAABAoJ++LE+/jXImaNbtNBx00UmPH/sRIFQAARDIFVfjxxz/1xhuzotwtS2ss1VmzZr1OOOFVnXzya2GHAgBAFohMolRMmDgnvf32TzrwwJEaOHCEli5dG0aAAABkDJIp2MgJJ7xVzd3M+zZqxIhpuuKK/210fezYn7TZZvcpL+8m5eTcqNzcm9Sq1Z26997PQ4gSAIBMVp5Iif2c/+ijX7Xvvs9q1aqimGUBAMhWJFOwka+++qOau5m5Q/Wdd05Qaam3lsusWUvVtOltOvDAkZo7d6VKS52c8xbQW7p0rS655D3Vq/cvjRr1fchRAwCQKRJbD+3rrxfq8svfT1EsAABkPpIp2Ijb6EspJ2+tlPXKpGk+lZ1//ruaMWOxttji3yosLK62bElJmY455hUNG/ZVmqIDACBTJbew/FNPfa1ly5juAwCom0imoILi4sgXKicvgbLO/1miTJzmU27EiG/Up8/jCS2Md+aZb2nu3BUpjAoAgMwzduyx2nvvzsrJMSX7bF+/vkzPPvtNsIEBAFBLkExBBfn5uf6Rk1SkTNq9J5Y1a9arqCjxb9eOO25UCqIBACBzbbvtJho//kStWnWprAYzeEePnhFcUAAA1CIkU7CRxo3z5CVSMncUSpAmTlzw13orAADUBStXrtPIkd/p0EP/U8X03vh9992i4IICAKAWyQs7AGSevfZqr3fe+SHsMNLGOemdd2bpoIO2CDsUAADSYscdn9a6dY2V7Hop5dav58sIAEDdxMgUVOCc0x9/1L01RL7/nm/WAAB1x7p15dN4azYKdfXq9frPf76reUAAANQyJFNQwaxZyzRlysKww0i7Zs3yww4BAIAQ1GDBFHmjO487brRuu+2TgOIBAKB2SGsyxczyzewUMxtjZnPMrNDMSmN8as8KqFngt99Whh1CKAYN6hF2CAAApFGZ/7NmyZRyV189Tq+9xmK0AIC6I23JFDPbQtJUSU9KOlhSZ0mN5D3FY32QJjVZhK62atYsX127tgg7DAAA0qjM/wT3Knj++e8E1hYAAJkuLQvQmlljSe9I6irvyT1G0mJJZ8ibrHuzpBaS+kraxb/2uaT30xEfNmjXrknYIaTdpZfuFnYIAACEoDyZYgpiB78FC1Zp8uTf1Ldv+xq3BQBApkvXyJSz5SVSSiXt75w7QtKD5Tedc9c75/7PObebpB0kzZCXVPnTOXdjmmKEpC22aKVtt20bdhhps8kmjXXddXuHHQYAACEpk5SroAYC33ora6cAAOqGdCVTDpb3lcfLzrlx1RV0zk2VNEDSIkn3mtmOqQ8P5cxM5567U9hhpEXr1g01d+5FYYcBAECIytdOCSahsmBB3Vx7DQBQ96QrmbKV//O1qm6aWYWnt3NusaR75U1D+kdqQ0NlJ520nXr33iTsMFImPz9HQ4f21uLFlys/PzfscAAAyBA1T6jk5LDUHQCgbkjLmimSmvs/f424VhRx3ETSqkp1Jvg/mYORZg0b1tPYscdrn32e1Q8//Bl2OEnr3XsTDRt2kO6/f6IWLVqjgoL6Ou64bXT00VuHHRoAABnGRXyS16VL8yCCAQAg46UrmbJGUlNVfEIvjzjuLOn7SnXKy7ZLXViIpkOHZvrss9N07bXj9Oyz32j16vVhh5Sw667bS/36ddTIkUeFHQoAABmuTEEsQnvDDf1r3AYAALVBupIpsyX1lvTX8u7OuSVmtlTeLj67a+NkSvlaKcVpiRAbadmyoR555EDddts+evHF7/Tdd4u0du16tWrVSO3aNdYll2TuZkvNmtXXUUdtFbsgAAB1XjCJlA4dmmrLLVvXPBwAAGqBdCVTJstLpvSV9EbE9Q8kHS3pMjMb7Zz7U5LMrIukK+Q92aemKUZEUVDQQGef3fev87lzV6hr1wdCjCi25547POwQAACoBUwbFqGtmYcfHhxIOwAA1AbpWoD2fXlP60MqXS/fHnlzST+a2Sgze1vSN5I6+veeSE+IiNegQc+rrKzm32Clgpk0bNjBOuSQLcMOBQCAWiC4BWOfeGJKYG0BAJDp0pVMeUvSx5JWmVm38ovOuQmSbpL3JG8h6QhJg+StryJJzzjnRqYpRsShuLhUM2YsCTuMjZhJu+7aUVOmnKnTT98h7HAAAMh4hx7aU126FATW3rvv/ixJWrZsraZPX6yZM5do5cqiGLUAAKid0jLNxzm3RlL/KPduMLNPJJ0uaWs/pp8kPeucG52O+BC/yy57L+wQqvTnn5eqRYvGYYcBAECt8OKLR+q443bXMceM0pw5ywJps6zMadCg5/Xf/87661purumww3rq3HN30oABXWTG1skAgOyQrjVTquWc+0De+inIcFOm/B52CBvJy8shkQIAQAL22GMzSVK9ermBthuZSJGk0lKn0aNnaPToGTrqqK307LOHqWHDeoH2CQBAGNI1zQdZoqSkNOwQNuJcZq7fAgBApmvXLn1fRrzyynQdccTLWr8+894lAABIFMkUVDBw4HCtWRN9N+pGjfLTGE18Skudxo79KewwAACoddauXZ/W/t5992c9+OAXae0TAIBUIJmCCn76aal69nxYJSXeNokzZizWjjs+odzcm2R2o8aNmxNugFEceOBIdep0n4qL+bYLAIB4TZ+e/kXl//3vSSotDWY7ZgAAwkIyBRuZN2+ljj12lHbc8QlttdUjmjLl94zdCjnS/Pkrtckmd6u0lIQKAADxCGO3nTlzluu992bFLggAQAYjmYIqvfrqzIxcbDaW5cvXaa+9hocdBgAAqMbkyb+FHQIAADVCMgVZ57PP5jM6BQCAOHTo0DSUflevTu9aLQAABI1kCrLSeee9E3YIAABkvB13bB9KvwUF9UPpFwCAoJBMQVZidx8AAGIbP352KP32798llH4BAAgKyRRkpTVrGD4MAEAsn3wyN+199unTTrvs0jHt/QIAECSSKchK+fm5YYcAAEDGKwthh+JLL91NZpb+jgEACBDJFGSlPn3ahR0CAACo5Pzz+2nIkG3CDgMAgBrLCzsAIBWee+6IsEMAACBjDRr0subOTd/okNxc03XX7aV//nNvRqUAALJCRiZTzOzpiFPnnDsttGBQ62y2WYFatmwYdhgAAGSs779fIqlZytrPzTWZmTp3LtDQob11xhk7qn37cLZhBgAgFTIymSLpZEku4pxkSpq0b99UCxeayspc7MIZKDfXNGnS6WGHAQBALZC6Z/2cOf+nDh0KGIUCAMhambxmivkfpNEXX5yhc87pG3YYSalXL0fTp5+rNm2ahB0KAAC1QOqSKVOmLCSRAgDIapmaTBkQ8RkYcix1zo039lfHjqkb+psKQ4ZsrcLCq7XFFq3DDgUAgFoidcmOhg3rpaxtAAAyQUYmU5xzH0V+wo6nrmnVqpH+97+/Kze3dnyj9K9/DdDIkUexHTIAAHErSmnr/fq1T2n7AACELSOTKQjf4MEjVVqa+eumdOtWoGuv3SvsMAAAqGWcpPUpabl58wYqKGAheABAdiOZgo08++xU/fLL8rDDiMsvv6zQ4sWFYYcBAEAtlJovTa68cveUtAsAQCYhmYKNXH75/8IOIW7OSUcf/UrYYQAAAHm76l1xxR5hhwEAQMoFujWymXUOsr1yzrm5qWgXG1u7tlh//LE67DAS8skn/PUAACATsPAsAKCuCDSZIml2wO1J3hjUoONEFN99tzjsEBJWVuY0duxPGjy4R9ihAABQpxUXl4YdAgAAaRH0NB9L0QdpsmpVcdghJGXKlN/DDgEAgDovL48Z5ACAuiHoER+nBNwe0qxt2wZhh5CUhg0ZvAQAQNg226wg7BAAAEiLQP8F6pwbEWR7SL+bbvok7BCSst9+3cIOAQCAOu/SS3cNOwQAANKCsZioYMqUhWGHkLCGDfPUu/cmYYcBAECdt2zZurBDAAAgLUimoIL162vfwnGnndYn7BAAAICkuXNXhB0CAABpQTIFFeTk1K71fps0ydf99x8QdhgAAEDSgw9+GXYIAACkRdpX7TSz7STtKWlzSU0l5cao4pxzp6U8MEiS8vPzVFISdhTx+/XXC5WbG+uvEAAASBezG+Xc9VHvt259h/78s+J0oPz8XP3554Vq0qRJqsMDACAQaUummNmWkp6WtEsi1SQ5SSRT0qSoqPZkUk46aVu1bNkw7DAAAEAlVSVUmjW7VatWra+yfHFxqZo2vUc5OVJpafREDAAAmSItyRQz6yDpY0mt5SVIJKlQ0jJJZemIAfEpLa09/zmeeOLQsEMAAABxyM29UWVxvGKUlcUe2QIAQCZI15op10hq4x8/Kamnc66Zc24z51zXWJ9UBGRmO5jZ1Wb2jpnNM7MiMys0sx/NbLiZ7Zlge4PM7FUzm++3Nd8/H5RAG43M7DIz+9LMlvrxzDCzu82sc+K/ZfY66qitlJ/P9B4AADKV2Y2aNu0PNWp0S1yJlEi5uTemJigAAAKSrmk+g+RN13nWOXdmmvqMysw+krRXFbfyJfXwPyeZ2XOSTnfOFVfTlkl6TFLl36uDpMMlHW5mT0g62znnqmmnm6S3JW1Z6VZP/3O6mR3vnBtb7S9XB+yySweNGnV02GEAAIAYttvusaTqlZVJhYWFrKECAMhY6RqZ0t7/+Wya+oulg//zN0kPSDpKUj9Ju0q6WNIC//6JkobHaOtmbUikfC1piN/WEP9c/v1/RWvAzJpIeksbEinDJO0jaTd5o3oKJRVIGmVmvWP9ctkqN9d0xhk76PPPTw87FAAAkGItWtwTdggAAESVrpEpyyS1lbQ8Tf3FMlPS1ZJGO+dKK92b6I9ImSBpC0lDzOxR59wnlRsxs+6SLvdPJ0vayzm31j+fZGZvSPpIUl9JV5jZM865WVXEc6m80SeSdLlz7q6Ie5+b2Yfy1pxpJOl+SQMT+3VrDzNpwoSTdd5572r+/JUqLS1Ts2YN9I9/7KRLLtkt7PAAAECa1KbdBQEAdU+6kimTJQ2Wl5z4OkbZlHPOHRTj/hIzu0TSm/6loyRtlEyRdJE2/BmeH5FIKW9njZmdL+lzv9yFks6PLGNm9SRd4J/OkLTR1zDOuc/N7ClJZ0kaYGY7Oue+qu53qK2ck/7znxmaMuWssEMBAAAhKy4uVn5+fthhAACwkXRN83lQ3i4+oa+XkoDxEcfdKt/010op305mpnNuYlWN+Nd/8E8P8+tF6i+puX88wjkXbYm24RHHR0QLOhsMGzYl7BAAAEAGOOWUN2MXAgAgBGlJpjjn3pd0p7xRFY/6ozEyXeTXIFUlOLpqw9orH8Voq/x+R0ldKt3bs4pyVZksabV/vEeM/mq1NWvWhx0CAADIAN9++0fYIQAAUKVAp/mY2dBqbk+X9Jm80SkHm9kr8tYuWROrXedcGAvX7h1xPLOK+71i3FeU+70kzU60HedciZnNktS7Uh0AAICslJ+frhnpAAAkJugn1HB5WyDHsqkqrR1SDac07wJkZjmSroy49HIVxTpFHM+P0eS8KPUiz1c755bH0U5vSW3MrL5zrihGeUmSmXWMUaRdPO2kU1lZmXJy0jULDQCA2q82Pu9jOfzwLWMXAgAgBKlI91deE6Q2ukje9saS9JpzbnIVZZpGHBfGaG91xHGTKO3EaqOqduJKpqhiMqdW2HzzBzVnzoVatKhQX3+9UOvXl2rLLVurR49WYYcGAECmqnXP+1iuuWbv2IUAAAhB0MmUrgG3l3Zmtrek2/3TRZLOiVK0QcRxcYxmI5MeDaO0E6uNWO1klV9/XaHGjW/RmjUV90Vs3ryBTjlle9188wA1asTq/gAAZKuOHZvGLgQAQEgCTaY4534Nsr10M7OtJb0m78+lSNIxzrloK5+tiziO9a/6+hHHayvdK28nnsxAde1Up/LUosraSZqUQHtpUTmRIknLl6/TffdN1OOPf6UJE07R9ttvGkJkAABkpFr5vI9m1qx/hB0CAABRsaqXz8y6SnpPUgtJpZKGOOeq211nVcRx5ak7lTWOOK48nae8nVhtxGonKudctWu6bLxbc+Zbs2a9dt75SU2ffp66dWsZdjgAAIQu2573+fmMQAUAZC5W+JRkZu0l/U9Se3kL3p7qnHstRrXIF5ZYC75FflNUeT5zeTuNzax5nO0sjnfx2WxWXFym/fZ7LuwwAAAAAAB1TEqSKWb2NzOb4n+OT7DuCRF1901FfJX6ay3pfUmb+5fOj3Mr5ukRxz1jlI28PyOZdswsT1K3KG3UWbNnL9e0adFmYgEAAAAAELzAkynmjSG9T9J2kv50zo1MsImRkv6UtL2ke4KNriIzK5D0X0lb+ZeudM49HGf12ZJ+849jLTW/l/9zgaQ5le59GnFcXTt9tWGaz4Q44qszLrvsvbBDAAAAAdphh1q3izMAoI5JxciUgZK2kFQm6cJEKzvnnKQL5K1bso2Z9Q8wtr+YWSNJb0vawb90i3Pujnjr+3GO8U97mtkuUfrZRRtGnIzx60UaL2mFf3ySRZ/QfHLEcawpSHXKt98uCjsEAAAQoK++OivsEAAAqFYqkilH+j/fd859n0wDzrnp8kaMRLYXGDPLl5eQ2N2/9IBz7tokmrpfUvmWMw+ZWYXtiv3zh/zTEr98Bc65YkkP+qe9JF1aRby7SjrNP/3IOVdrVuJPh+Li0rBDAAAAARkwYLOwQwAAIKZU7ObTT94irm/WsJ23JA2WVOWIjxp6UdL+/vE4SU+Z2TbVlC92zv1Y+aJz7kczu1vSlfKm4UwwszskzZK3vskVkvr4xe9yzv0Upf27JB0rb0TPnWbWXdJL8rY/HiDpann/rdYqidE+2a5hw3phhwAAAAKwxRYtNW7cyWGHAQBATKlIppR/nfBDDdspT150qWE7VTki4nigpGkxyv9aTRzXSGor6VR5iZOXqijzlKSoI1+cc6vM7EBJYyX1kHSm/4m0UtIJzrmpMWKtc/bYo1PsQgAAIKPdffc+uuSSPcIOAwCAuKQimVLg/1xaw3bK6zerYTsp5Zwrk3SamY2WlwDZSVJrSUskTZL0uHPunTja+dnM+kg6T9LRkrpLype3lfJYeVORfk3Nb1G73XPP/rELAQCAjOXc9WGHAABAQlKRTFkpqYWk5jVsp7z+qhq2sxHnXLRFXmvS5lh5SY+atLFa0p3+B3HYccdN1b59RufbAABANY4/vrqZ1gAAZKZULEBbvrXKVtWWiq1XpfaACpo3b6Bx44aGHQYAAKiBF14IfK8BAABSLhXJlC8lmaRDatjOofIWsmXnGmwkPz9HzZvXV9++w7TPPiP06adzww4JAAAk6Jtv2AIZAFA7pSKZUr4+yH5mtlcyDfj1yhfCiLneCOoO8ydoFReXac6cFfrpp6UaN26O9tzzGW2yyd16662arnsMAADS4aab+qt373ZhhwEAQFJSkUwZLekXeaNTXjazLROpbGZbSHpZ3qiUOZJeCTpA1F7ORb+3aNFqHXzwS3r0UQYzAQCQ6TbfvEXYIQAAkLTAkynOuRJJl8hLhrSRNNnMLjKzJtXVM7MmZnahpMnythqWpEv89oC4nXfeWI0fPyfsMAAAQDX69Nk07BAAAEhaKnbzkXNujJldK+kWSY0k3S3pRjP7RNIUSX9IWi2psaRNJO0gaU//vHynneudc6+nIj5kN+eks89+SzNn/iPsUAAAQBX22KOzttqqTdhhAACQtJQkUyTJOXebmc2X9Ii8JEkTSYP8T1XKkyhrJP3DOTc8VbEh+/3ww5/69dfl2myz5mGHAgAAKvm//+sXdggAANRIKtZM+Ytz7jlJW0i6R9JieQmTaJ8l8kawbEEiBUG45ZZPwg4BAABUMnTodjrqqK3CDgMAgBpJ2ciUcs653yVdJukyM9tK0naSWktqKmmVvCTKN8656amOBXXL3Lkrwg4BAABEaNGigZ566hBZ+fZ8AADUUilPpkTyEyYkTRA3s+p38KlOTg4vagAAZJJly9aprCzJBzsAABkkpdN8gJpq1Cj5fF/37i0DjAQAAARhwIDhYYcAAECNkUxBRrv++v5J17322j2DCwSSpEcf/VIDBw5X375P6IADntMbb8wMOyQAQC3z+efzVVpaGnYYAADUCMkUZKyWLRvosst2V+PG9RKuu912m6ht2yYpiKruKS0t1WGHvaS8vJt07rnv6MMPf9VXX/2u9977RYce+h81aHCzLrjgnbDDBADUEs5JV131QdhhAABQIyRTUEFeXo6aN28QdhiSpHfeOUGSdM89+ydULzfX9Oyzh6cipDpn7dpitW59t8aM+UGlpVXPcS8qKtWDD36pXr0eTnN0AIDa6p13fg47BAAAaoRkCir4z3+O1vjxQ8MOQ3ffvZ/69esoSTrrrL66+ur4puzk5JhGjz5GvXtvksrw6ozOnR/Q8uXr4io7c+YS7bTTsBRHBADIBt99t1jNmt0adhgAACSNZAoq6Nevg4YMGR12GLrwwp0rnN9yy0CNHHmENt00+tSdXr1aa9KkM3TooT1THV6dcPPNH2vJkjUJ1Zk8+Td9+eX8FEUEAMgmq1atl9mN6tjxnrBDAQAgYWndGhmZ78MPZ2vmzD9DjWHrrdsoNzd3o+tDhmyrIUO21RdfzNedd07Qb7+tUl5ejrp3b6Ubb+yvzp0L0h9sFrvrrs+SqnfSSWM0Y8Z5AUcDAMhWCxYUqkWL27Vs2ZVhhwIAQNwYmYIKTjrpdbmql8ZImxEjDot6b/jwr3XIIS/p1VdnauLEBfr003kaMWKq9t//OU2cOC99QWa5BQtWaOXKoqTqzpy5JOBoAADZbvnyIp122mthhwEAQNxIpqACF3ImZciQrbXjju03ur506Vo1b367TjnlDS1atLrCPeekH374U7vu+rS23fYRtlsMwAcfzK5Rff4bAAAS9fTT08IOAQCAuJFMQcbIz8/RyJFHbXS9sLBYm256t1asiD1S4rvvFmvzzR9MRXh1yurVxTWqTy4FAJCMn39eGHYIAADEhWQKMkZxcZkGDXpe2277iLbZ5hENGvS8ZsxYrK22eljFxWVxtzN37kodf/wrKYw0+1U1OigR+fkbr3kDAEAsu+46IuwQAACICwvQIqP897+z/jr+/vvF2mqrR5JqZ9SoGRo5Mqio6p5+/ToqN9dUWpr4tK+CgvopiAgAUBesWFGzkZEAAKQLI1OQlUpKyvTvf38Zdhi12r77bp5Uvauu2iPgSAAAdUVenoUdAgAAcSGZgqz19NNfhx1CrTZy5JGyBN9p69fP1RVXkEwBACRn//2TS+QDAJBuJFOQtVatSm5rX3hatmyo118/Nu7yOTmm778/N4URAQCy3euvHx92CAAAxIVkCrJWgwYsCVRThxzSUx9+OFT161e/oGzz5g00e/YF6tatZZoiAwBkG6b4AABqE5IpyFr77MNQ4SD0799V69Zdq5dfPkodOzZTvXo5ys015efnqGfPVvr881O1bNkV6ty5IOxQAQC12LJlF4cdAgAAceOre2QlM+mee/YLO4yscvTRW+voo7cOOwwAQBb69NOhatKkSdhhAAAQN5IpyEo77theubnVT00BAADhMpNWrryERAoAoNYhmYKsU79+rj7++KSwwwAAAFFssUVL/fDD+WGHAQBA0lgzBVklLy9H8+ZdqIYN88MOBQAAVKFv3/YkUgAAtR7JFGSVkpIytWt3rw444DmVlpaGHQ4AAKikuLgk7BAAAKgxkinIOmVlTu+994tat75bxcUkVAAAyCSbbto07BAAAKgxkinIWsuXr1OXLveHHQYAAIhw553stgcAqP1IpiCr/f57oZ56akrYYQAAAF+LFg3CDgEAgBojmYKsd/XVH4QdAgAA8P3yy7KwQwAAoMZIpiDrLVq0hrVTAACI0KhReLve8UwGAGQDkimoE3788c+wQwAAIGNst12b0PreZJMmofUNAEBQSKagTlizpjjsEAAAyBiff74glH67d2+pbbZpG0rfAAAEiWQK6oRtt+XFDQCAsJ1zTl/l5FjYYQAAUGMkU5D1GjWqp4YNw5sbDgAApM6dC3TaaX3CDgMAgECQTEHWO+ecHcMOAQCAOq1p0zy9884JKihgW2QAQHYgmYKslp+fozvu2DfsMAAAqNNWrSpR584FYYcBAEBgSKYga+XkmL799hzl5uaGHQoAABllyy1bp73PHXZ4LO19AgCQKiRTkJVat26ouXMv0BZbpP9lEQCATHfyydulvc+fflqm4mJ21wMAZAeSKcg6N9ywtxYvvlwdOjCcGACAqhx33LYaPLhH2vtt2/betPcJAEAqkExB1tl6a7ZBBgCgOnl5Obrjjn3S3u+KFUW67bZP0t4vAABBI5mCrLPvvpuHHQIAABnv4INfCqXf22//NJR+AQAIEskUZJU+fdqpeXO2XQQAoDojR07TnDnLQ+l75cpiTZv2Ryh9AwAQFJIpyCq3357+IcsAANQ211wzLtT+hw+fGmr/AADUFMkUZJX/+793NX78nLDDAAAgo5WUlIXa/9Kla0LtHwCAmiKZgqzyww9/av/9n9Nrr80IOxQAABDFpps2CzsEAABqhGQKss769WU6/vhX9e23zMcGACATnXNO37BDAACgRkimICutW1eiO+/8LOwwAABAJWZS584FYYcBAECNkExB1nr55e+1ePHqsMMAAAARnJMKC4vDDgMAgBohmYKsVVxcqvfemxV2GAAAZCDzP+H4739/1s8/L1WPHg+qoOA2FRTcpm22eVgLFxaGFhMAAInICzsAIJUWL2a3AAAANmaSXGi9H3XUqI2uff/9Em266T3Ky8vRa68do4MO2jKEyAAAiA8jU5DV6tfPDTsEAAAyULhbI1enpKRMBx/8ki666N2wQwEAICqSKchqW2zRKuwQAABAEu6//wsNGzY57DAAAKgSyRRkra5dm2vAgK5hhwEAAJJ01llvhx0CAABVIpmCrHXOOX2VkxPe4noAAKBmnJPGjfsl7DAAANgIyRRkpV126ah//KOfJOnRR79Ujx4Pqk2bO7XJJndphx0e18SJ80KOEAAAxOPww/8TdggAAGyE3XyQdXbbrZPeeOM4XXXVB3r44UkqKam4yN6iRWu0665Pq0mTfL3wwuE65JCeIUUKAABiKSwsDjsEAAA2wsgUZA0z6b77DtC4cUN19NEv64EHvtgokRKpsLBYhx76H91//8Q0RgkAABLhwtvBGQCAqBiZgqzQokUDzZ9/oRo1qq9TT31dH374a9x1L7rov+rdexMNHMhitQAAZJq8PL77AwBkHp5OqNU6dGiql18+SkuXXqFGjeqrtLRUw4d/k3A7Q4a8koLoAABATR133NZhhwAAwEYYmYJa6eyz++rUU7fXTjt1qHD9kkveT2o48KJFazR37gp17lwQUIQAACAIzz57RNghAACwEUamoFZ67LHJ6tfvSbVte5duvHG8ysq8tVFGjEh8VEq5888fG1R4AAAgANts0ybsEAAAqBLJFNRqixev0Q03fKQtt3xYa9YUa82a5Ff8nz17eXCBAQCAGsnPz9G3354bdhgAAFSJZAqyws8/L9W22z721wgVAABQu1144S5hhwAAQFQkU5A1fvllmXJykv8r3blzswCjAQAANdGoUb2wQwAAICqSKcgqOTmWdN233/5Z2277iAoLk58qBAAAgrH99u3CDgEAgKhIpiCrrFtXWqP63323WK1a3amFCwsDiggAACSqQ4emOvDALcIOAwCAqEimIOv07t22RvWLi0vVrduDKi2tWWIGAAAk59xzd1JeHq+pAIDMxVMKWWf//btpjz061aiNNWvW6+KL3wsoIgAAEK+99tpMl1yya9hhAABQLZIpyDodOjTTJ5+cqnPO6VujNVSGDZsSYFQAAGSi/LADqOCAA7rprbeGqH79vLBDAQCgWiRTkFXMpKFDe0uS7rxzP9Wrl/xf8bVrSzRr1tKgQgMAIMOYpNy09vj884dpjz06b3R9//276bXXjtXYsSeoadP6aY0JAIBkkPZHVunTp51atmwkSbr66g9UVFSzdU8mTJirbt1aBhEaAAAZxCQ1SHuve+/dVSecsJ3mz1+p335bpZwcU8eOzdSuXZO0xwIAQE2QTEFWOeKIXn8djxjxTY3bW7++rMZtAACQecIZ/VFUVCJJ6tixmTp2bBZKDAAABIFpPsgqzZp5L4e//rpcK1cW1bi9nXfuWOM2AACAp1MnEigAgOxAMgVZpaDAG7L88881X+skPz9H22xTs22WAQDIbDWbDpuITp2aKT+fQdEAgOxAMgVZZd99u0qSmjSp+e4ERx21VY3bAAAgs6UvmXLZZbulrS8AAFKNZAqyRosWDdS+vTd8eNttazaiJC8vR888c1gAUQEAkInKKv1Mve233yRtfQEAkGokU5A16tWzv44bNcpX797Jv7R99dWZys9P73aRAACkT7HSOSpFkk46aUxa+wMAIJVIpiCLVPzrfMstA5JqZdy4E2uUiAEAoHYolrdFcnrMnr1chYXFaesPAIBUIpmCrNGiRYMK5wcdtKX22qtzQm0MHdpbAwZsHmRYAABksPRN85Gk2277JK39AQCQKiRTkDW23rrNRtcuumhn1a8f33SdI47oqREjDg86LAAAMlbPnq3S2t+sWcvS2h8AAKnC/nTIGvfdN+iv42HDvtL557+joqLY88E326xA11+/t045pU8qwwMAIOPMnPlnWvtr3LheWvsDACBVSKYgK7Ru3UidOxdIki6//D3dddfncdXbffeO+vTT01IZGgAA8A0a1D3sEAAACATTfJAVnnrqYEnS889PizuRIkkTJszXBRe8k6qwAACALy8vR0cfvXXYYQAAEAiSKcgKn3++QJJ09tlvJlz33/+eFHQ4AACgkoMO6hF2CAAABIZkCrLC7bd/qj59HtPq1SUJ1y0rc7r55o9TEBUAAJCkBg3y9MorR4cdBgAAgSGZgqwxdeofSdd96KEvA4wEAACUq18/V7NnX6Dc3Ph21wMAoDYgmQJIWrRotRYtKgw7DAAAss5nn52mdu2ahB0GAACBIpkC+Lbb7nGVlZWFHQYAAFkiT1Ke2rdvGnYgAAAEjmQK4Fu4sFB33vlZ2GEAAJAlSiVJm2zSOOQ4AAAIHskUIMKDD34RdggAAGQJJ6lUc+YsDzsQAAACRzIFiPD774WaO3dF2GEAAJAlnGbMWBJ2EAAABI5kClDJtGkLww4BAICssW7d+rBDAAAgcHU2mWJmbc3sIDO7yczeMbMlZub8z/Ak2htkZq+a2XwzK/J/vmpmgxJoo5GZXWZmX5rZUjMrNLMZZna3mXVONCYAAICw3Xbbp2GHAABA4PLCDiBEfwTRiJmZpMcknVnpVgdJh0s63MyekHS2c85V0043SW9L2rLSrZ7+53QzO945NzaIuBHd1lu3DTsEAABSzNLW008/LU1bXwAApEudHZlSyTxJ7yVZ92ZtSKR8LWmIpH7+z6/962dK+le0BsysiaS3tCGRMkzSPpJ2k3SNpEJJBZJGmVnvJONEHNq0aaSuXVuEHQYAAClWP209rV9flra+AABIl7o8MuUmSZMkTXLO/WFmXSTNTqQBM+su6XL/dLKkvZxza/3zSWb2hqSPJPWVdIWZPeOcm1VFU5fKG30iSZc75+6KuPe5mX0o6WNJjSTdL2lgInEifuee2zfsEAAASIM8SQ0lrY1VsMYaNMhNeR8AAKRbnR2Z4py73jn3lnOuJtN9LtKGhNT5EYmU8j7WSDrfP82TdGHlBsysnqQL/NMZku6pItbPJT3lnw4wsx1rEDOiyM/P1bXX7h12GAAApEl6XgN3241l3wAA2afOJlNqyl8r5VD/dKZzbmJV5fzrP/inh/n1IvWX1Nw/HuGcizYWdnjE8RGJxovYmjWrr7w8/icBAKgroi7lFqjnnz8sLf0AAJBO/MsxeV3lLTIreVN5qlN+v6OkLpXu7VlFuapMlrTaP94jjviQoLVr2boRAIAg9ejRXAUFDcMOAwCAwJFMSV6viOOZMcpG3u9V6V5c7TjnSiSVr7dSuQ0EYONBQwAAZLPUP/eOOGLrlPcBAEAY6vICtDXVKeJ4foyy86LUizxf7ZxbHkc7vSW1MbP6zrmimFFKMrOOMYq0i6edbNeqFd+cAQBqr8Sf9zn+J3W77dxxxwQVF5fq3nsPSFkfAACEgWRK8ppGHBfGKLs64rhJlHZitVFVO3ElU1QxmYMozj13p7BDAACgJpJ43qc2mSJJ9903UePHz9GUKWeltB8AANKJaT7JaxBxXByjbGTSo/Lwh/J2YrURqx3UQL16Obr44l3DDgMAgKz09dcLtc8+I8IOAwCAwDAyJXnrIo7zY5StH3G8ttK98nZitRGrnepUnlpUWTtJkxJoL+vcdts+7OQDAKjtknjep2+9sHHj5mju3BXq3LkgbX0CAJAqJFOStyriuPLUncoaRxxXns5T3k6sNmK1E5Vzrto1Xer6wqsXX7yrLrlkt7DDAACgRpJ73qd3J7shQ17RhAmnpbVPAABSgWRK8iJfWGIt+Bb5TVHl+czzJe0sqbGZNY+xCG15O4vjXXwW0ZlJL7xwhIYM2TbsUAAASDOnVK+VUpUvvlgQSDuLFxfq++8Xq3XrxurVq5Vyc3MDaRcAgHiRTEne9IjjnjHKRt6fUUU7R0aUm1hVA2aWJ6lblDaQhKOO2opECgCgjipVukelSFJpqUu6bmFhsf7+9zF6++2fVVJSMRHUpUuBnnhisPbbb/OahggAQFxYJCJ5syX95h/vHaPsXv7PBZLmVLr3acRxde301YZpPhPiiA8xsE0jAKDuKlUYI1OSNWrUdDVrdpfGjPlxo0SKJM2Zs0L77/+idt31mRCiAwDURSRTkuScc5LG+Kc9zWyXqsr518tHpozx60UaL2mFf3ySRV/A5OSI49cSDhgVHHrolurYsVnYYQAAEJJwpvkks0zbG2/8qGOOeU0bvUFVYeLE39Snz5OJdwIAQIJIptTM/ZJK/OOHzKzCdsX++UP+aYlfvgLnXLGkB/3TXpIurVzGzHaVVL5a20fOuTq9805N7bxzB7366jFhhwEAQJ3TqVPiX2QcccQrCZWfOvUP3Xnn5wn3AwBAIursmilmtoek7hGXWkccdzezkyPLO+eGV27DOfejmd0t6Up503AmmNkdkmbJW9/kCkl9/OJ3Oed+ihLOXZKOlbSFpDvNrLukl+RtfzxA0tXy/lutlXRh3L9kHdS0ab5WrSqu8l6DBrk6/fQd9NBDg9McFQAAmSj59UuS9eijByVU/uabP0lqnZVbbpmgyy/fNeF6AADEq84mUySdLumkKPd29z+Rhkcpe42ktpJOlZc4eamKMk9JujZaIM65VWZ2oKSxknpIOtP/RFop6QTn3NRo7UAaN26oOncu0NVXj9PUqQu1bl2JmjdvoOOO20bnnttXOTm1ezDWtGl/aPr0xVq3rkStWjXUXnttpoKCBmGHBQColdKbTGnVqqEGD+6RUJ277/4iqb5WrizSd98t0jbbtE2qPgAAsdTlZEognHNlkk4zs9HyEiA7yRvlskTSJEmPO+feiaOdn82sj6TzJB0tb9RMvrytlMdKesA592tqfovskJNj6tKlhVq3bqQnnzwk7HACU1paphde+FYPPzxJX35ZcUvJxo3r6YQTttXFF++qLbdsHaUFAADCVb9+rmbNOj/heitXFiXd5+OPT9FDDw1Kuj4AANWps8kU59zJqrioa03bGysv6VGTNlZLutP/IEEHHbSFWrduFHYYgVq7dr2OO2603njjhyrvr169Xk88MUXPPTdNL754pA49NNYu3QAASOlcfLZz52aaOfM8NWyYn3DdeBadjWbx4rXJVwYAIIbaPecBiHDuuX3DDiFQZWVOxx//atRESqS1a0t09NGj9OGHs9MQGQCg9ktPMuXXXy/Ur79elFQiRUpu959ybdo0jF0IAIAkkUxBVqhXL0f7798t7DACNXr0dL3++sy4y69fX6bTT39TZWXpX1AQAIDK2rRppM6dC2rURkFB/aTrnnXWDjXqGwCA6pBMQVa44ordZTX5+ioDPfxw4jtg//LLMr377s8piAYAgMRcf/3eNW7j8st3SapeQUF9Fp8FAKQUyRTUejk5pn/9a2DYYQTq55+X6qOPkltv+Kmnvg44GgB12cKFhTrhhNHaddcndeihIzV58oLYlQApkHW8rrpqD+XlJf5lyXXXVd6UEQCAYNXZBWgRpi6S5gTW2j//uVdgbWWKH3/8M5S6AFDu7rs/01VX/U8lJRWnDr7xxk8yk4YM2UYvvHBkSNGhNigtDWZdljFjjtaBB74cd/kdd2ynSy7ZNZC+AQCIhpEpCEG9wFo6/fQ+uv76/oG1lymKikpCqQsAktS9+wO67LL3N0qklHNOGjnyOzVqdEuaI0N6BDNttkOHZoG0M3hwD73yyhFxLUa7224dNHnyaYH0CwBAdUimIARFNW6hoKC+nnnmEA0bdkgA8WSetm0bJ123TZvk6wLANts8rFmzlsdVdu3aEhIqWcfkvR7W7BVx880LlJcX3GvmkUf20sqVl+moo3qqXr2N2+3evYU+/PB4TZhwcmB9AgBQHab5IASLEyrdvHkDdejQROvWlWrhwkKtX1+q1avX6+yz39Ztt32qYcMO1l57dUlNqCHZaacOateuiRYuLEy47qGHbpmCiADUBdOmLdT33y9JqM7atSU6++w39dhjB6coKqRXMAmQG28cEEg7kZo0ydeoUd7UshUr1uq77xarXbsm6tKlQLm5uYH3BwBAdRiZghCsjbtkw4a5euqpgzV//irNmrVMq1evV3FxmUpKylRUVKoff1yqvfceoYKC2zRjRmJJmkyWn5+rM85IfEvH+vVzdeqpfVIQEYC6YO+9hydV74knpgQbCEJikpykUknJr3fSpk1D/f3v2wUVVJUKChpq9907q1u3liRSAAChIJmCjLZ2bamOPHKUVqyofmrQypXF2nrrR/Tll/PTFFnqnXvuTmrdulFCdc47L/E6AFBu+fLkpmE6J82duzTgaBCOmi8ae/zxvQOIAwCAzEYyBVnDOWm33Z5WcXFp2KEEol27JnrzzSFq1qx+XOUPO6yn7rhjvxRHBQBVu/nmT8IOATVW9YLDiVqyZE0g7QAAkMlIpiCrlJY6nXfe22GHEZhddumoTz89RTvv3CFqmUaN6umKK3bXqFFHB7rYH4C6pbi4uEb1//hjdUCRAAAAZD4WoEXWee65aVm1y8+2226iiRNP1+TJv+nJJ6do+vTFWru2RK1bN9Lgwd01dOh2KihoEHaYAGq5/Pz8GtXfZptNAooEtV2HDk3/v737jrOiuv8//v7sLssuvUsREFApNlRUNAqoiDVGE40JNlBJRGPUGDXNyDcxwfhVf4kae8FYYiFRE43tq2KLQQSxN1QCAgpKL8uyu+f3x8x1Zy+3zS07d/e+no/HPHbunXNmPvfc2T2zn5k5E3UIAAAUHMkUtDqbN9drxYr16tmzQ9Sh5NWoUX01alTfqMMAgIQuvfSAqENAkZg4cZeoQwAAoOC4JwCt0vz5X2z13gsvLNR++92qQYP+pCFD/qSDD75TH34Y7hGgANCa7bRTj6zqtW1bnvOVLWgd9tqrr3bbrXfUYQAAUHBcmYJWqXPnxkFbb7rpNV1wwVPasGFLkzKffLJaQ4f+Wd26Vem++47TIYcMae4wAaCozJs3RW3bTg9d7667ji1ANGiJlixZG3UIAAA0C65MQau0yy69JElnnvmozjzzsa0SKUErV9ZowoS7de21s5srPAAoSpWVlbrkkjGh6uy9d18df/xOBYoILc3Speu1bl12j9gGAKAlIZmCVqdXr3aqrq7UFVe8rJtumptxvR//+Ak9/fTHBYwMAIrfb35zYMYJlbFjB2r27CkFjggtzbhxM6IOAQCAgiOZglbn978/WJL0y18+G7ruCSfMzHc4ANDi/OY3B2rz5p9rzz37JFzer19HffXVBZo1a1LzBoYW4c03l0cdAlBUGhqcli5dp48++korVmyQcy7qkADkAWOmoFXp16+jTj99D91yy1zV1TWErr9qVY0+/PBL7bhjdoMwAkBrUVlZqdde+0HUYaAFqqtr0LJl69SnD49IRmlbtmydbrllnm6+ea6WLFn39fsjRvTUWWeN0skn76ZOndqmWAOAYsaVKWg1evSo1iefnCtJ+u1vX8h6PT/4waP5CgkAgJI0b96yqEMAIvXXv76lwYOv0aWXzmqSSJGkd99doR/96HHtsMO1euWVxRFFCCBXJFPQ4pWXm7797WFaseIiVVaWS5JWrtyU9fr++981+QoNAICSVFNTH3UIQGTuvfctTZz4d9XU1KUst3z5Bo0ff5fmzFnSTJEByCdu80GLNGxYd3XrVq3vf38X/ehHe2+1PJdbUbmPFQCA3Awd2j3qEIBIfPbZWp122iMZl9+4cYuOO+5BLVhwjtq0KS9gZADyjWQKWpxdd+2lN96YmrJMhw6V2rgx+eOQU+nZs31W9QAAgNSxY1vttFPPqMMAInHTTa9p8+ZwV2YtWrRGjzzygY47bkSBogJQCNzmgxbn2WdPSVvmjDN2z3r9f/jD+KzrJlJTU6d585Zp1qyFmjt3adZJHgAAWoJTTtlNZhZ1GECzq6tr0C23zMuq7g03vJbnaAAUGlemoMV5443lOuigQU3eW7++Vk8//bE+/3ydhg7tqUsvPUDTp78U+nafdu3abLXubH3yySpdf/0c3X7761q1qubr9zt1aqtTT91NZ5+9l4YO5alBAIDWo6qqjaZPPyjqMIBILFq0Rl98sSGruq++yrgpQEtDMgUtzsaNtV/PP/jgOzrvvCe0dOn6JmXMpC5dqpokMTJx+eUH5yXGe+99S5MnP6La2q0v81y7drOuvfZV3XDDa7rhhiN1xhl75GWbAABEqaxMev75U9WxI496RWlav742faEUdZ1zXNUFtCAkU9Di7LCDN6jdfvvdqldeSZzFd06hEymTJ++mc87ZJ+f4Zs58Vyed9Pe0V8XU1TVoypR/qqKiTJMmjcx5uwAARGn69PHae+9+UYcBRKZz5+wTiZ06tSWRArQwjJmCFqVjx0oNHdpD++yTPJESVkVFmX772wN1++3H5LyuVas2afLkR0LdXnTmmY9q2bJ1OW8bAIAo7blnn6hDACLVv39nDRzYOau6Y8YMzHM0AAqNZApalJNP3k1/+cv8rO4r/elPR6tHj3aqrq5Qu3Zt1LdvB1177eHasuUS/epXY/IS34wZ80Nf4rl5c33Wg5UBAFAsRo/mqhSUtrIy05lnjsqq7llnZVcPQHS4zQctRlmZafr0g7TDDtdmVX/RorVaseLCPEfV1M03Z5cUufnmubrkkjFc3gkAiFCZJPOnmNillukf9dqjxxVatOh89ezZoQCxAS3D6afvrssvf0lr1mzOuM6IET116KHbFzAqAIXAlSloMRoanB577CMtX74xq/oPP/x+niNqqra2Xu+//2VWdZcsWaeVKzflOSIAADJVrsZkSlAsuRJbnlxNTYP69bs64eDrQKno2bO9HnjgeLVpk9m/WT16tNNDD52gsjJOqAEtDckUtCgnnfT3rOvW1jbkMZKtbdq0Jaf6GzfmVh8AgOyUa+skSjyTd9iY+tBxyxan8eP/kqe4gJZpwoQhevLJk9SzZ7uU5YYN66GXXz5NO+7YvZkiA5BPJFPQojQUNh+Skw4dKlVenv1Zha5dq/MYDQAAmcgkkRKUvuyLLy5SfT1Xp6C0HXjgIC1ceJ5uv/1o7b13v6+PESsry3XooUP0yCPf09tvTyWRArRgjJkC5El5eZkOPniwnnrq49B19913W3XoUFmAqAAASCZ+fJRM65Qr3Rgql132oi69dFx2YQGtRLt2bTR58u6aPHl3Oee0eXO92rYtZ4w8oJXgyhSUjHbt2hR8G9mOxH7WWXvlORIAANLJ5TAwdd0nnliQw7qB1sfMVFVVQSIFaEVIpqBknHHG7gXfxpFH7qidd+4Vqs7gwV113HEjChQRAAD5Fhs/JfmgtGvX1jRnQAAANDuSKSgJZWWmq6+eUPDtVFSU6ZFHvqc+fTJ7LGT37tV69NHvq6qKO+4AAC1NMKnSVLdujAMGAGjdSKagJMycebzKy7c+2CuEwYO76pVXTtc++/RLWW7kyN565ZXTNXx4z2aJCwCAwoglVRoNGtRNdXVFPGo8AAA5IpmCVs3MS6Qce+zwZt3uwIFd9Morp+vll0/TSSftqu2266Ju3ao1YEBnnXDCTpo161TNm/cD7bADI7gDAFqDpoeUd931rjp0uEL/+tdHEcUDAEBhcW8BWqW2bcs1ceLOuvHGb6qysnmuSIlnZtpvv/7ab7/+kWwfAIDU6pXfQ8EySY1Xo2zeXK+jjnpAf/vbd3TsscPyuB0AAKJHMgWtyqRJu+mOO46JOgwAAFoIp/CPR04mtp7Gw0vnpO9+9+9aseIn6tKlKk/bAQAgetzmg1Zl3braqEMAAKAFqZeXUMmXrRMzdXVOP//5s3ncBgAA0SOZglalurpN1CEAANDC5DOhkvjW2rvvfidP6wcAoDiQTEGrstNOPBkHAIDs5COhkngd69fX6vPP1+dh/QAAFAeSKWg1KirKdOqpu0UdBgAALUy5vNtzch07pUGprnJZvHhtjusHAKB4kExBq3HccSPUp0/HqMMAAKAFiSVScuXUmERpUKKESrduDEALAGg9SKagVejfv5OuumpC1GEAANCC5DOR0hD3Om5L5aZBg7rkYVsAABQHHo2MombmPVYxlSFDuurxx09U3775uSpl/fpa/fKXz+ippz7WunW1atu2Qrvu2ktXXjlBQ4Z0y8s2AACIVr4TKfGddYOCg9EedNB2KivjHB4AoPUgmYKi5pw0eHAX9ejRXq++uqTJsh126KYzzxylM87YQ506tc15W3V1DTr66L/qySc/VkND04PCTz5ZpYcf/kBDh3bX44+fqEGDuua8PQAAopOPREqq9cRu+/GWX331wXnaHgAAxYFkCorep5+u1uzZU/Tllxu1cOFq1dc3qE+fjho5srfKyvJzMFhTU6cdd7w27eB4H3zwlYYN+7PmzJmiXXfdJi/bBgAgei5uiilT+sFpTameBDR16h7aeWf6TABA60IyBUXPOelnP/s/3Xrr0Ro2rEdBtrHffrdl/JSB2tp67bvvbfrii5+qQ4fKvMbx/vtf6vbbX9cHH3ylzZvr1KtXe33rW0N19NFD1aZNefoVAAAQWoOajnkSv0xKnVRJnmiZMmWkrr/+8JyiAwCgGJFMQYvw8suLC7bu2bM/0+uvfx6qzsaNW3TRRU/r+uuPzEsM7723Quec87ieeebTrZbdddeb6tOng371qzGaOnWUzPJ1aTYAAKkSKfHlpEzHWikvNz355Ik6+OBBOcQGAEDxYiQwtAibNm0p2Lp/+tOnsqp3991v5mX7r766RPvtd3vCRErMsmXrdfbZ/9L55z8pl25EXgAA0mpQ5omUoHqluqUn5pxz9iaRAgBo1UimoEVo165NwdY9e/aS9IUSWLeuVnPmZFc3ZunSdTrqqHu1enVNRuX/9KfZuuaa2TltEwCA7BIpMekTKmeeOSrLdQMA0DKQTEGLMHbswIKte8uWbA8mpffe+zKnbf/xj//RihUbQ9X5zW9eKOiVOgCAUmZKP+Cs1DSZEp9YMW2/fVdddtm/tc0216m6+ipVV1+lnj2v1c9//rzq6+vzGjEAAFEgmYKiZyZNnz4+6jASKi/P/ldo06Ytuu2210PXW7lykx544J2stwsAwNbKU0yJEivBExHBZIpJKlNl5dW65JKXtHz5RtXU1Kumpl5ffrlJl18+W23aXKUpU54o0OcAAKB5kExB0TvggAHq0qWqYOuvqsp+HOY99uiddd0XXvivVq7clFXdmTPfy3q7AAA0KlNjwiQ+aRJ7L5ZUiefifpYp9tSfhobktwE5J91665s66KC/5hA3AADRIpmCotatW7Uef/zEgm5jwoTBWdXr1audhg/vmfV2v/hiQw5112ddFwAAT6a39MTKxidU4hMmZUnKJfbcc4t1zjlPZ1QWAIBiQzIFRWvAgM766KMfqV27yoJu5+qrD82q3lln7ZXTdsvLs3/EcUUFv7oAgFzFkh+ZyrRs5n3UDTfMD7F9AACKB/+Roej06FGtu+46Rv/973nq1q1dwbc3ZEg3HXvssFB1evfuoEsuGZPzdrM1eHDXnLYNACh1YRMpMYmuOrE0y5Orr3e66iqeUoeWb+PGLbrwwn9r1KiZGj78rxo1aqYuuugVbdzIQwOA1opkCorO739/sE46abdm3ebMmcdrzJgBGZXt3r1ab7zxQ5WV5fbrs88+/TR0aPes6k6ePDKnbQMASl32V0cmXkeFvERK+L7xT3+al4dYgMLatKlW8+ev0HvvrWzyRKqamjodeug/1bHjbbryyjc0d+4Kvf/+as2du0L/+7/z1bHjbTr88EdVU1MXYfQACoFkCorOQQcNavZtlpWV6fnnJ+sXvzhAnTq1TVimoqJMRx+9oxYtOk+9enXIeZtmprPPDn+r0NCh3SNpIwAAmo6zYl+/Z5ZdIkWS1qzZnJ/QgDyrr6/Xeee9pPbtb1G7drdp991nasSI+1VRcbP69LlTt9zytgYMuEtPPfVZ0kGXGxqcnnhisQYOvFtr19Y28ycAUEjmXPLR1lEazGxbSYu9V+dL6hxZLO3bt9H69b+IbPsxM2e+q7vvflMrV25Su3ZtNHbsQF144TfyPlZJTU2dxo2bodmzl2RUvqKiTE89dZIOPJBkCoDW7bPPPlP//v1jL/s75z6LMp7WoGl/f6Gy7+9jx46xZEq9+vTprmXLshtYvUuXtlq16twsYwEK4+23v9Iee8zUli0N6QtnaPDgTvr448I+WAFoSVp6X5/9M2GBAjjrrFFRhyBJOu64ETruuBEF305VVYUefXSijjjiHs2ZszRl2bZty3XPPd8mkQIAKALBW3yc1q/P/uqSnj2rcw8HyKNPP12j3XZ7QA2h8ijBE9SJb6P75JO1uv/+BTrhhO1zCS+0+fOXafbspWrbtkJjxw7QoEGMvQfkA8kUFI1OnSp1xRUTog6j2fXo0U6zZk3StdfO1g03vKb//ndNk+Vt2pTp+ON30sUXf0O77rpNRFECAJCI9w/kunXrJFUpm7FYrr76oPyGhJJw7bXvaPr0+Vq9ulbOSe3bV+ikk7bXVVftrfLycAMhx9tzz5kZJlKcpHp/ClYwNY4j1PR34sQT/0+VlWU69tjBOcWYzqZNtZo48RE9+ugC1dU1/TDt2rXR2WfvqSuuOLigMQCtHbf5oChu86mqqtDnn/9EnTuX9tmp+voGPfPMp/rww6+0eXOdevZsr8MO2169erWPOjQAaFYt/dLfYpTf23yC/yDGBtYMn0xp27ZcNTUXZBkHStFll72uadPmqb4+8f8wZtJ3vztY992XXZJu7tzlGjXqbxmUbJBUq6ZXpCRSqURPuZoyZbhuvnlc6Pgy8fLLizRmzN1Jx3GJ6dixUgsX/kjdupX28Tei09L7eq5MQVG49trDSj6RIknl5WWaMGGIJkwYEnUoAABkKHb2vU7eoWXmCZU///mQAsWE1ui0057XHXd8lLKMc9L993+iBQvW6rXXjgm9jUmTns2gVIOkTG9tq1WihMott7ynnj2r9bvf7RMuwDTefPMLHXDAXcrkfPm6dbXadttrtHr1T1VZmdvVPEAp4mk+KAp9+3aKOgQAAJCzOqU/U++56KK9dfrpuxY2HLQa1133TtpEStDcuV9q4sRMEiNNLViwNk0JJy9BEkbiK1imT5/X5DHL+TBmTGaJlJhNm+o0duxf8hoDUCpIpqAojBkzMOoQAABAXsQSKon/o+vcua3uu+8o/eEP45ozKLRwF188J3Sd++77JHSyIn58ka3VK3XCsD5u+nrNW5V0TjrnnJdDxZfKq68uyepR47NnL817UgcoBSRTUBQ6dKiMOgQAAJCR+Nt4EiVO6vypQb17t9f223fRmDHb6o03Jmn16nN1wgmFf2IeWo8XXlimjRu3Tkak41z4JExFRbp/jxIlHerVuM+7uKlOjYmVrZMwd975Qaj4Ujn99Eezque103N5iwMoFSRTELmysvAj/wMAgGLg5I0fkexMfb0uuWQfffTRD/T88xO16669mjE2tBYXX/xq1nXvvDPzW4MkabvtOqZYGtvfg9JdqRKrtyXhkk2bwieJkvnkkzXpCyXx5JOf5C0OoFSQTEHk9t67b9QhAACArJm8fzDrtPU/mmJgS+Ts8883ZV13w4ZwyYo77jgwROlMEilBG7d6J58PVk1/i1JymzYlTvYASI6n+SBy9977nahDAApu06ZaXXDB03r99WWqrW3Qttt21OWXj9fw4T2jDg0AchB7THLsP8LYP3ON5+t22KFbM8eE1qa8PPurmM3C1R09urc6d67UmjXpBpkNm0iRGpOOjf+C5fLZ4lVWlqm2NruxTzp2bJu3OIBSQTIFkRo2rIcGDeoadRhoQebMWaL33vtSbdqUadSovtphh+5Rh5TSokVrdOihd+n9979q8v68ecv0j398qK5dq3TNNYfrpJN4ogWAlir+n8GmCZWjjrpf69Zd1KwRoXUZNKijPv54XVZ1u3YNPy7fq69+W8OG3ZfgqhGTt1+nurUtnRpJHb5+NWRI/p5oudtu2+jllz/Lqu7JJ++StziAUsFtPojUv/41MeoQ0AKsX1+rqVMfVceO07X33rfq1FMf1sSJf9eOO16nPn2u0vTpL6qhIftLWwvlhRcWatCgP22VSAlatapGJ5/8kM48M7tB4wAgeonOrDf+s7l+/Rb97ncvNmtEaF1uvnn/rOtecsnuoevsuGNXzZt3XJKlud625hQcxPbOOw/KcX2N7r33mKzqlZebfvKTffIWB1AqSKYgIiapUmPH3hd1IChy8+YtU69e/6sbb5yr9eu3vuT288/X6xe/eFYDBvxRK1dufS9yVBYtWqNx4+5UQ0NmZ65uummufvvb5wscFQDkW2a3KEybRjIF2Rs0qJN69Ah/G0pFhemHPxye1TZHjuypSy8dqcbbeWL9ebkSP9EnDO8EUM+eVRo9uneO62o0YEBn9evXIX3BOMccMzRvMQClhGQKItJGUrkWL16nl17K7nJEtH4fffSVRo++NaOR7pcsWafhw69XTU3+RsXPxSGH/CX0oHLTppFMAdCSxMZLSabxisG6Oqfa2nRjUADJPfhg+Cs4Lrtsz5y2OW3avurSpY0aH20ce8xx7lenVFaW6aOP8n+F9jvv/EBt2mT+L17fvh00cybjFwLZIJmCCDQ98LroolnRhIGid/jh92jLlsxv31m+fINOOeWhAkaUmU2bavXhhytD12tocLrsshcKEBEA5FvwTH1mmeN7732nYNGg9Rs3rp9uvPEbGZf/4Q+H6eKLR+a83cWLJ6t9+/hhJtvktM6OHdtq+fJJ6tw5/4O+du5crSVLzlHHjunHitlxx25atOhHeY8BKBUkUxABp+DZqrfeWhFdKCha77yzXB9/vCp0vUceeT/y8VPOPffJrOv+8Y//yWMkAFBIscNIk3emPjYl9skna5ohJrRmP/zhcD3//JEpb/np0KFCN9+8v268MftxVpqur1Jr1vxA++/fRyEfDJTUqlVTCpJIienZs4PWrr1Q119/mLp3r95q+eDBXfTMMxP1wQdTVV7Oo8uBbPE0H0QkditGG9XWFt/AoYjeRRc9nVW92toGXXPNqzrvvNF5jihz8+d/nnXdtWs35zESAMi3MiW+EiX4X2bsn7Om/fv48dsVJiSUlDFj+mjFipP16adrNXXqy/r443Vyzql372pdeeU+Gj16m7xvs7y8XC++eJzq6+v1q1/N1mOPLdTHHy/Xxo3hb10bNqxbsyUwpk7dU1Onerc61dbWq7xcJE+APCKZggh5CZWKCnZDbO2dd7K/Yum55z6NNJkS5takeGHHWQGA5lWuxhMiycQSK00vgB4zZrsCxINSNWhQJz3xxOHNus3y8nJNn76fpk/fT2vWbFKXLteGXscddzRvzDGVlSRRgHzjNh9ErE4DB3aMOggUoc2bsx8pf8OGLXmMJLy+fcOPpB/DwQ6A4hX271PTeyI+/3x9/kIBIta5c7WuvHJsqDqnnrqzRo/uV6CIADQ3kimI3G67dY86BBSh9u2zH9ytW7et7w9uTtOnj8+67oEHbpe/QAAgr3K7dO7BB9/NUxxA4Tz55Ke66KIXdN55z+m2295SfX3ykzsXXLCPLr98TEbrPe20XTRjxhH5ChNAEeD+CkTu5Zf/G3UIKELjxw/KagBaSTrllF3zHE04u+66jTp3bqs1a8KPf3LPPccWICIAyIdwT++Jx5hQKFb19fWaOPFxPfTQgq1u1Z0y5WmNGrWNZs48SgMGdG6ybM2azVq8uEZVVe1VU7NRiX43+vfvpKefPl5Dh3LyEGhtuDIFkfvyy41Rh4AidPnlh2Q1an6XLlU66qih+Q8opKuumhC6zp579lHnztFeVQMAyZlyuTrl2GOj/9sMxFu0aI3at79ODzzwYcIxz5yT5sz5QgMH3qb773//6/e/+GKjDjjgb/rzn99STU2DpCpJ1ZIqA1O1Fi/eossvf10NDQyKBrQ2JFMQOToXJNKlS1VWt7ycf350A88GnX76HjrttJEZl99mm/aaPfv0wgUEADnL7bmwI0b0ylMcQH6sX1+r7be/I+Nx2r73vX/p2WcXacuWeh199KN6662vEpTa+jHhM2a8p1/96pW8xAygeJBMQeSqq7MfGwOt2+OPn6g+fTIfzPWgg7bTr38dbjC4Qrrttm/p178eo7Ky1P+A7LlnHy1Zcj6PKwTQalVV8fcNxWfMmAdCP4HvqKMe1gMPLNCrr34Rqt6VV76uzz/fEKoOgOJGMgWRY8BNJFNZWaEFC87RLrukP5t5/PEj9MwzpzZDVOH8z/8cqPr6X+vXvx6jrl2rVFFRpvJyU3V1hQ47bIi++uoivfbaD0ikAGgBuMUHrUd9fb1ef3156HqbNtXpsstmh663ZUuDbr2VQZiB1sSc4xaLUmdm20pa7L06X1LnVMXz7tlnT9GBBw5q1m2i5XnppUW66KKnNWfOUtXVeWeRqqq8hMTVVx+qQYO6RhwhgHz67LPP1L9//9jL/s65z6KMpzVo2t9fqOz6+3JJ4R9dv3r1TxgTCkXl3HOf0zXXvJ7DGsJfWT1iRDe9886JOWwTaF1ael/P03wQuUcf/ZBkCtLaf/8B+ve/GVMEAKIV/iScmamsjIuhUVxmzVrc7NtcupTbfIDWhJ4NkXvppebvzAAAQDbCJ1OcM91zD7c3oLjU1IS/wipX6cZQA9CykExB5Nat2xx1CAAAICNhkyllksp1/fXzCxALkL0uXdo2+zYHDMh8UH0AxY9kCiLXsWPzd2YAAKDQvESKJL311gqtXcvJExSPc88dmXXdLl2qsqp38snDst4mgOJDMgWR22+/baMOAQAAhFauxIeSZfIG52z6lLK1a2ubISYgMxMnjlBlZXb/Cl111ZjQdaqqyjV58vCstgegOJFMQeTOPHNU1CEAAIC0Eh02lstLnASnxI9679Ah/NNPgEKaMmWX0HUGD+6kSZN20oQJA0LV+93v9lXXrtld0QKgOJFMQZ6UKZvd6fDDt9fQoT3yHw4AAMijRANn1ivTMVSGDeuW9a0RQKFcd93B2nnn7hmXr6oq19tvn6KyMtODDx6uAw7om1G9n/1sT51//sgsowRQrEimIE+cEh9oJbfddl10++3fKkw4AAAgT0zJb+nJLJkyderu+QwIyJu33jpVY8b0S1uuZ89qrVgxVdXVlZKkTp0q9dRT39Jll41W377tE9YZNaqXHnjgME2fvp/MeJIP0NpURB0AWotYMsWUyYHV7rv31j/+8X317s2o5gAAFK/YlafJ+vf0fX6XLm11yik75TkuIH+ef/4EffrpGp144mOaPfsLNTR4+7WZNHBgJ91448E69NBBW9WrqqrQL3+5ly66aA899thCzZ//pTZurFPXrm01fnx/7bXXNs39UQA0I5IpRcbMBkj6saQjJQ2QtFnSAkkPSLreObcxwvBSiGXby+Rd9uuprq7Qpk113pIy0yGHDNbZZ++lI47YQeXlXBgFAEBxCiZRUkmdTKmoKNP99x/NLT4oeoMGdda//z0xq7pt2pTrmGOG6JhjhuQ5KgDFjGRKETGzIyXdI6lz4O12kvbypzPM7Ajn3CdRxBfWunUXq337tlq9ukabN9era9cqtW3LLgcAQHEyeYeG4W/dTaRLl7a6//6jNWHC1mf0AQBo6fjPtkiY2W7yrj5pJ2m9pOmSnpNULel7kqZIGirpMTPbyzm3PqpYE2t6lUnfvl3UoYN3Fqpr1+ooAgIAAElVyHvyTlDsKpPMEynf+Ma2Wr26Tu+88+XX7w0d2k1Tp47UqafuzBUpAIBWi2RK8fijvERKnaQJzrlXAsueNbOPJF0haZikn0j6TbNHmFRsrBQpdiC2YcMmtWnzW9XXN6i8vEwDB3bWz3++vyZPHqmyMm7vAQCg+IS/GmX69HE64IABWrNms9au3awOHSrVpUtbBtsEALR6/FdbBMxsL0nj/Je3xSVSYq6S9J4/f56ZxZ9OilBwN2qQJK1Zs1l1dQ1yTqqra9DHH6/SGWf8U507/0GvvLI4mjABAEAOmo6PstNOPbX//v0lSZ07t1X//p3UtWsViRQAQEkgmVIcjgnM35GogHOuQdJf/Jdd1Zh8iVi54q9KSWX9+lrtv/8deuGFhYUMCgAA5JVTcID5sjLTlVceTOIEAFCySKYUhwP8nxskzU1R7vnA/P6FCydTwVH+mx5kpdLQ4DRhwt2qqakrVGAAAKBAystNt912pA47jCeXAABKF2OmFIfh/s8FzrlUGYb3E9RJy8y2TVOkX+PsukxXq8arUjJPpMRs3ixdeOHfdPHF3whVDwBQGpYtWxZ8WR5VHC1JuP5+bci1e4cn++zTTxdcsI/23be7Pvvss5DrAACgUUvv68259LdmoHDMrErSJv/lY865o9KUXy+pvaT/OOf2zXAbfMkAgJZsL+fca1EHUezo7wEALViL6+u5zSd6HQPzmTzueIP/s0MBYgEAoBj1ijoAAABQUC2ur+c2n+hVBeZrMyi/2f9ZHWIb/dMsHyDpZX9+tKQlIdaNxHpLmuPP7yXp8whjaS1o0/yiPfOPNs2vfpL+48+/n6ogvkZ/37z4nc8/2jS/aM/8o03zq0X39SRTolcTmK/MoHxb/+emlKUCnHMpb2qOG4l/SbrySC+uTT+nTXNHm+YX7Zl/tGl+xbVnJicbSh79ffPidz7/aNP8oj3zjzbNr5be13ObT/SCI75mcutOe/9nJrcEAQAAAACAPCOZEjHnXI2kL/2XKUfhN7OuakymLC5kXAAAAAAAIDGSKcXhPf/n9maW6tarYQnqAAAAAACAZkQypTi85P9sL2nPFOXGBuZfTloKAAAAAAAUDMmU4vBwYH5yogJmVibpFP/laknPFTYkAAAAAACQCMmUIuCce1XSi/7L081s3wTFLpA03J//k3NuS7MEBwAAAAAAmuDRyMXjXHm37lRLesrMfi/v6pNqSd+T9AO/3IeSrookQgAAAAAAIHPORR0DfGb2TUl3S+qUpMiHko50zi1ovqgAAAAAAEAQyZQiY2YD5V2lcqS8RyXXSlog6UFJ1znnNkYYHgAAAAAAJY9kCgAAAAAAQAgMQAsAAAAAABACyRQAAAAAAIAQSKYAAAAAAACEQDIFAAAAAAAgBJIpAAAAAAAAIZBMAQAAAAAACIFkCgAAAAAAQAgkUwAAAAAAAEIgmVLizGyAmV1pZu+Z2QYzW2lmr5rZT82sXdTxNQcz62VmR5nZb8zscTP70sycP83IYn2HmdnfzewzM9vs//y7mR0WYh3tzOxC/7tYaWbr/e/oSjMbEDam5mRme5jZL/y2XOy3wXoz+9DMZpjZASHXV+rt2cnMvmdmV5nZ82a2wMzWmFmtmS03s1lmdpGZdc9wfSXdnumY2RWB339nZuMyqFPybRrXZqmmWRmsq+TbsxCsxPt7o6/PK6Ovzyujr29WRl+flQz7+dLq651zTCU6STpS0mpJLsn0vqTBUcfZDO2Q7PM7STNCrMck3ZRmfTdJsjTrGeK3fbJ1rJZ0RNTtliT259N8/tj0F0mVtGdGbTo+wzZdIelQ2jOntt5N0pa4zzOONs2o7TLZR52kWbRnJN9Pyff3afarGSHWU/L7qejrC9Gm9PXN19b09dm3HX19fBxRfylM0Uz+H5IN/s62TtIvJO0r6SBJNwd2xPckdYg63gK3RfAXb5GkJwOvZ4RYz+8C9eZJ+p6kvfyf8wLLLkuxjg5+m8fK3ux/J/v639E6//0NknaNuu0SxL/Aj2+JpD9K+o7fBqMlnS/ps8Bnu5f2zKhNx/v75Z2SfizpWL8995P0XUkPSKrzP8fmZJ+D9kzbzmWSXvXj/yLwGcexj2bUfrH4r5e0c4ppEO3Z7N8N/X3TfZS+Pve2pK/Pf5vS1zdPO9PX59Z+9PXxsUT9pTBFM0l6zt/JtkjaN8HyCwM76K+jjrfAbfE/ko6StI3/ervAZ5+R4Tq2V2OWe46k6rjl7fz3Y20+JMl6pgW2fWGC5fsGtvNs1G2XIL5H5XX65UmW95D0QeAzHkB7pm3ThG0ZV+aYwOf8G+2ZVTufp8Z/KH8f+Jzj2Eczar/YZ5iWZX3as3DfDf29o6/Pc1vS1+e/Tenrm6edzxN9fS7tR18fv62ovxSm5p/kZf9iO+CNScqUSXrXL7NSUpuo427G9tku0D4zMqzz50Cd0UnKjA6UuTbB8jaSVvnL35VUlmQ9NwbWs2fU7ZVF+x4ViP9PtGfe2jWWoV9Be4Zuu/5qPIsxLq6THsc+mlEb5nqARXsW5nuhv0/eNtsF2mZGhnXYTzNvX/r6wrQrfX32bUdfn3sb0tfHTQxAW5qOCczfkaiAc65B3r2uktRV3h8dJGBmJulb/sv3nXP/SVTOf/8D/+Uxfr2gcZK6+PN3+t9BIjMC898OG28RmBWYHxK/kPbM2gb/Z1XwTdozI9fLu2T0TufcrHSFadP8oj0L6pjAPP19DthPQ5sVmKevzx/6+uzR10eotbYnyZTSFBthfYOkuSnKPR+Y379w4bR4gyT18+efT1UwsHxbeWfFgg5IUC6R19TYmbbE76UyMJ/oDyDtGZKZDZc00n/5ftxi2jMFM/uuvDOoK+Xd7pAJ2jS/aM/Cob/PH/bTcOjr84y+Pnv09UWhVbYnyZTSNNz/ucA5V5eiXPAP9fCkpRBsm/jOLV6qNs1oPf539nGSdbQEYwPziT4n7ZkB/3FwO5jZT+SNiVDuL/pTXFHaMwkz66LG9rrYObciw6q0aXLHm9kHZrbJzNaZ2UdmdqeZHZiiDu1ZOPT3+cN+Gg59fR7Q1+eOvr4g6Ot9JFNKjJlVyRsYTPJGW0/KObdKjRm9/oWMq4ULtk3KNpW0OEm94OsNzrnVGa6np5m1TVO2aJhZmaSfBd56IEEx2jMJM5tkZs7MnLzfzQ8lXSVpG7/IlZLuiatGeyZ3haTekv4t6bYQ9WjT5EZI2lHeJegd5A02d4qkZ83sITPrnKAO7VkA9Pd5x36aIfr63NDX5x19ff7R1/sqCrFSFLWOgfn1GZTfIKm9vF8UJBamTTcE5uPbNLaeTL+X4Ho2Z1CnGJwvaW9//iHn3GsJytCe4c2XdKZzbnaCZbRnAma2v6Qz5D1q8kznj1aWIdp0axsl/UPSM/LOFK2X1FPe2ekzJXWXN37HI2Z2iHNuS6Au7VkY9Pf5xX6aOfr6wpgv+vpQ6Ovzjr4+DsmU0hMcsKo2g/Kxna66ALG0FmHaNPhLHN+msfWE+V4SracomdlYSZf7L5dLmpqkKO2Z3MPy7gGVvDiHyHs85bGS7jGz85xzj8bVoT3jmFmlpJslmaT/55x7K+QqaNOt9UtyhuhpM7tW0uOSdpd3wDVV0jWBMrRnYdDf5xf7aQbo6/PiYdHX54y+viDo6+Nwm0/pqQnMVyYt1Sh2SdSmAsTSWoRp0+AlZvFtGltPmO8l0XqKjpntJOkheQnczZK+65z7Iklx2jMJ59xq59zb/jTHOXefc+7b8i6tHCzvTMCkuGq059Z+Ie/+2UWS/ieL+rRpnFSX2vq/68ep8cDnnLgitGdh0N/nF/tpGvT1+UFfnzf09XlGX781kimlZ11gPpNLedv7PzO5lKpUhWnT9oH5+DaNrSfM95JoPUXFzAZJekreIzfrJX3fOZdq9G3aMyTn3F2SHpT3N/06M+saWEx7BpjZMEk/91+e45zbkKp8ErRpSM65TyQ97b/c3sz6BhbTnoVBf59f7Kcp0NcXHn195ujro1GKfT3JlBLjnKuR9KX/cttUZf0/0rGdcHGqsiUuOIhSyjZV00GU4ts0tp72/sjjmaxnhXOu2O6n/Jr/R/T/JPWV5CSd5px7KE012jM7j/g/20s6PPA+7dnU+fLOZnwiqZ2ZfS9+krRzoPxBgWWxv4e0aXbeDcz3C8zTngVAf5937KdJ0Nc3K/r6zNDXR6ek+nqSKaXpPf/n9maWatycYQnqYGvBPxrDkpbaenl8m2a0Hv87G5JkHUXDzHrIy04P9t86xzn3lwyq0p7ZCT7qb2BgnvZsKnbJ52BJf00yfSdQ/pLA+z3992jT7FiS92nPwqG/zx/20wTo65sdfX1m6OujU1J9PcmU0vSS/7O9pD1TlBsbmH+5cOG0eJ9KWurPj01VUNIY/+cSSQvjlr0UmE+1nlFqPINYlN+L/0i0J+U9Ok2Sfuac+3OG1WnP7ASz/8FLGWnP/KNNszMiML80ME97Fg79ff6wn8ahr48EfX3zoU2zU1J9PcmU0vRwYH5yogJmViZvoCtJWi3pucKG1HL5j1mLXXY5zMxGJyrnvx/LoD6S4PFssySt8edPNbNkmd1Jgfl0l9E2OzNrJ+kxSXv4b/3OOfeHTOvTnlk7PjD/9Yj1tGdTzrlJzjlLNanpQHUHBpYt9NdBm4ZkZoMlHeK//MQ5tyS2jPYsqIcD8/T3OWA/bYq+PjL09Rmgr49GSfb1zjmmEpwkvSDvvtYtkvZNsPxCf7mTNC3qeJu5bbYLfPYZGdbZ0W9LJ2mOpOq45dX++7E23yHJen4T2PaFCZbvG9jOrKjbKkF8lfLOUsU+wx+zXA/t2RjjJElVacqcH/icn0qqoD1zavNpgc85jn00bXt9M36fi1u+jaR5gc/5E9qzWb8f+vvE7bJd4HPPyLAO+6mjry9Qm04SfX1zt/m0wOccxz6atr3o6xPFEvUXwxTNJO8Z4Bv9nWydvBGvR0s6UNJNgR30A0kdo463wG2xv9+JxaafBj7/S3HLJqVYz/RAvXmSTpB3idkJcX9cfp9iHR39No+Vvcn/Tkb739E6//2NkkZG3XYJ4v9bIPZnJO0ib4CvZNOOtGfaNl0o6StJN8s7e/wNSbv5++1Ufx+Nfb7NksbTnjm3+bTAZxzHPprRPrpE0jWSvi/vIGakpPGSLpM3CGrs870oqS3t2azfD/29o6/Pc1vS1+e/TReKvr6523xa4DOOYx/NaB+lr4+PJeovhim6SV6GcU1gR4yfPpC0fdRxNkM7zEjRBltNKdZTJum2NPVvlVSWJp7tJX2YYh1rJB0VdbsliT3jdvSnhbRn2jZdmGFbLpZ0CO2ZlzafFvg842jTvO2jMyV1oT0j+Y5Kvr8XfX0+2zJMP+9EX59Jm2b6d5S+Pn9tPi3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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2, sharey=True, sharex=True, dpi=200)\n",
    "sb.scatter(day, 'phyco', 'chla', ax=axes[0], colorbar=False)\n",
    "axes[0].set_title('Day time')\n",
    "sb.scatter(night, 'phyco', 'chla', ax=axes[1], colorbar=False)\n",
    "axes[1].set_title('Night time')\n",
    "axes[0].set_xlim(0,500)\n",
    "axes[0].set_ylim(0,500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8c72b4db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8rOO2MF5ut3n4t9pUxsztNgfjZfU2D+u4qYyX+zQpSbo7WCT1sAMxBWoqMa3yU8RosKnE5kbvSPPdRUybeqKGMk5EexBrI3fMAD6Xpn8KnNWVf37JfT5NTJUGuJkYifRbYq2+DxL138l3fMk91gBuBLZMn58BfBN4khgBcTywevr8ZcAtZR9KAFwEvC5N/wh4D8uODshbTPz9FbF+m2mE+LleRDSqfkv8+7oGsB3wFrKG92LgAGLDyG7W73CaC5yQpvcmRvsUsX6ba4RoWF0E/Cx9/iTxf/Fs4J3AemnenwD7UrxJn3XcHsbLzWS83G7GzO02gvHyRDcXY+ZhNoLxcn+SJPHw8Bj8OChJkseTcncmSbJFA8o5kY75FfVRpOw+k5MkObvHtWel+arKs0WSJHdV3OPxJEkOHODzTeRjUCMV97J+m3mMVPws8+5LkmS/ivtYv8N5zM39bGdX5LN+m3uMVPw88y5MkmTtivtYx+06jJebd8yvqI8iZffxb7WZx6BGKu5lHTfvGKn4OeYZL7f3mJv7+c6uyGcdN/MYqfhZ5k34eNmZFdLyex5wLDFiYVNi9MLdwAXAqcCi+oo2Ic0n1tvrV9m6fB37E6P+diZ6uh8hpr6dDlze53tMB44m1g3dgpiafR/wPWJa9u8GKO9ENuh/VL8DZvbIY/02y/OJkSN7E1NRNyRGlTwFPEiM5PgucD79/dtq/Q6XufQ3SqzD+m2eWemxG7HW7gxgTWLE533AdcC5xCiyfljH7WG83CzzMV5uM2PmdjNe1lyMmYeZ8XKf7KyQJEmSJEmSJEm1coNtSZIkSZIkSZJUKzsrJEmSJEmSJElSreyskCRJkiRJkiRJtbKzQpIkSZIkSZIk1crOCkmSJEmSJEmSVCs7KyRJkiRJkiRJUq3srJAkSZIkSZIkSbWys0KSJEmSJEmSJNXKzgpJkiRJkiRJklQrOyskSZIkSZIkSVKt7KyQJEmSJEmSJEm1srNCkiRJkiRJkiTVys4KSZIkSZIkSZJUKzsrJEmSJEmSJElSreyskCRJkiRJkiRJtbKzQpIkSZIkSZIk1crOCknSRDETSNJjzgrcZ07uPjNXsEx1m032WfLH3PqK1LfRKOtMij///BUrmiRJmoDmE3HESL3FUIOM0IzYcoRl492RGsvTr/mMTlmvpjjml9RAdlZIkobJysChwLnAHcCfgCXAI8BNwGnAvvj/myRJkvo3m+IvMxPgSeA+4LvA24HV6imiJEntN6XuAkiS1KdXAycBmxecWy89dgTeCdwFvBe4bNxKN/wOB25I0w/VWZBxdD+wXe75FcDGNZVFkiQ102rApulxAPB+4O+JeFMaJpcCH03Ti+ssyDg7DJiept8FHFVjWST1YGeFJGkYfBg4EZiUPr+SCLZvBxYA6wIvBA4C9gO2TPPbWdG/e4Ff1l2IcbaEpT/zkroKIkmSGuM04Cu559OA7YH3AFsTMed/AdsSsy6kMjPrLkCXBUy8eB+indMxUQZlSUPLzgpJUtO9FfhUmn4YeCNwVUG+K4EvEyPl5xEzLSRJkqRBPMSyX+j+HDiPWPt+F2Az4Ajg1HEtmSRJLeea3pKkJtuYGN0GsIhYT7iooyLvNmJ2xefHrliSJEmaYJ4EPpJ7/qq6CiJJUlvZWSFJarLjyNYXPYFY9qkffwW+3ke+/YDvAH8EniamCJ9GrElct+nELJKzgFuAx4llih4GriHWS159HMszm2yjydlEDHEkcB3wKLAQuBU4HphacZ/56T1G0uebEHuR3EV0SD0MfI/BvwDYF/g28AfgKeAeYrRjE+pSkiS1w3/n0s/rkXdt4BPAr4g4aQHwY+AtJfnfTRZrvbSPslyU5l1Aeey1OxFL3gn8GfgL8GvgEuBtwJoV9z8IuBD4PREn/wn4GfAh+o9BXwScQgwmeoyI9e4mltE6Clg/l/ek9PM8Q8SHvdyU5r+z4NyuwCeJmTB/JPZn+DPRljgN2KbHveezdLy6NoPVZcdIep/5Bedms3RsDXAI8EMiHn6S+Gz/Six5O15GWLrMOwP/QWwy/1T6OJ9YEq3MbEan3dBttNoNkhrMZaAkSU01CfjHNL0QOGOU7/8Z4INdr80kNuh+PTALuGOU33MQl6Vl6DYD2Cs93gXsTzQ6x9MqRPle2fX6i9PjH4B9iI6DKjul99kg99pUosHxKuBkYn3oXk4A5na9thlwNLGM2EFEg1KSJGlFPJNLr1SRbyvgcpbds2DP9NgN+Keuc+cBnyU29D4MuL7i/jOAA9P0N1l274ypwNnAmwqufWF6vBr4OMvGUKsB3wBe2/X6ukQnwK7AMcRm47eUlG8l4HPAsSw7SPb56fEKolNmTvr6WcRApZWI+O0zJfeGiDd3TNPndJ2bU/AawMrEF+xbE1+cv5ul9yYpszx1OaiVgH8H3tz1+pbAB4i62JPoeBlPhwOns/R3h5sSbbRD08f/7HGPprUbJDWcMyskSU21Ddloq2uJ0VCj5Uiio+IaolGwEzEy/2vp+fWBfxvF91seU4hRaCcSDZSXEo3DNxKN0r8SX8hfQjQqx9MniQbH99Oy7ZQ+/iA9vzXRmKgaFDENuABYi2iM7kV8xneTNVaOBd7boywHEI3sO4m1o3cm6vJ04me0JvBdeo9+lCRJ6uXFufQDJXmmEbM91yNiptlErHQkMUsBYkDFK7quewy4OE0fSvWI87cQXwLDsjHrZOBSso6K3xCdAHsCf0t0cnyKmOFQ5FyyjopbiRkYO6flPYcYLb8xMQOgbAbEGel7Tibiuo8AexMdDK8APpbeO+92YuYGRGdNlc75Z9Py5k0hfpbnEl+275m+74HAPwOPEJ0DpwIv7/E+y1uXg/oE0Sa5BHgdUU/7E/E0wBbAF1fwPQa1PfBVYg+XY4g4fRbRofY0sCoxk32XHvdpUrtB0jBIksTDw8PDw6OJx5uTzImjcL+ZydLOSJJkUkG+M3N5dig4Pyd3fuYYfv4X9Di/b5Ikz6blOGI532N27rPMHiBvkiTJ6SX5zsrlObrg/Pzc+cVJkuxVkGfjJEnuS/MsTJJkg4I8eTclSbJ6QZ635vJc0MfPYyTNO7/Pn5+Hh4eHh4dHO47ZSWZuRb5Lcvk+1nVufu7cY0mSbFtw/RZJkjyZ5rm04PzeuXu8uaIct6R5bis4d2zuHt9KkmTVkntMTiLmyr92QO7aK5MkWaXguiNzef6z4Pyrc+evS5Jk7YrPsWnX88Ny176s5JqVkyR5KM3znYLzmyRJMq3iPddKkuTW9PprS/KMRl2SVMeW+d+5JEmSjxTkmZQkyRXp+SVJkqxf8bmqjqpylOVN0vRGBXn2TsuTJElyQx+fre52Q/6Ym7vn8vwsPTw8xvhwZoUkqalm5NIPjvK9/0CMEEoKzuU35t5zlN93EL/pcf5KYqQXwGvGtijLeJAYLVfkPcT6sRDLVFU5neLlmR4A3pemp5EtB1bmHcQazN3OI6btQ/yM/qbHfSRJkrpNJZb6+TaxdBLEjN+vVlzzz8T+Bt3uJkbPQ3GceTXZjIey2QU7Ai9J00WzKj6Qpu8nZkU8XXKfv7Ls7JCj08cl6fsvLrjuTCIOhZgF0B1ffSh9XAQcTOzvUOb3Xc/PJ5tNXfb5DyKbfV00E/r+9L3LPE7UD8AexKyJKstbl4O4iZjt0i0h9miAmHmw2wq+z6DeR/HSU1cRvwcQMyV2rrhH09oNkhrOzgpJUlOtkUsvHOV7X0h5w+1Osi++Nx/l910R6wMvIDYq7Byd4P4lZReNkfMpbwT+JT0PsZRXVQdB0XrCHReTNW73rch3G9HAK9NpxE4h27xQkiSpzAlkmwMnRMxzHfElOcSX6a8ni8O6JcSeD2U6ccs6xMbN3dd2Ypd9gOcWXN/5En8JsQxP3vZkSzOdSfFgjjJTyPZL+wGxkXKZzhfV3fHVemSbg59PdBwMYiGx3CnE0qfTCvJ0Pv/DxFKfvUwn9pvYliyGXpI7XxVHr0hdDuIbFA+iyr8HjG/b5DFiObEy+Y6iqli9Se0GSUPAzgpJUlM9kUtPH+V799qQ+rH0cY3KXGNvd2LTuj8R68XeRXw53zmOTPPNKLx67NzQ4/zPc+kXleRZDPyi4h5LgJt73GO0yiJJktTLfcApwHZkMwuKPELEbmUezaWLYs1ziI28J7HsKPFVyTZh/g7LdpjskEsXjUKvsjlZ50DV5t7d5/Px1fZEuZfn/TvOSh/XIDqF8jYi26j5PJbudMibQcxUuJNoU9wL/JIshr6sK2+ZFa3LflW1TUbrPQZ1M0tvKN/tFrKZN2Mdq49Wu0HSELCzQpLUVI/k0huO8r2rpoZDTIuH2HyvLnOBnwCHAOv2yFu1AeNYeKjH+fyyXWVlf5TqBlD+PlWffzTKIkmS1HEa0SHROV5AxBDPJTb0/Z8e1/cbZ0JxrPlHsi/T55B9+Q+xDFUnnjm74Nr8F+9/KDhfJR8n9VqCNb80UP66FXn/jhvINt/uXgrqbWQbMRctAQWxOfWvgQ8DW7L0z69IVRy9onXZr6r3Ga33GFSvGPsZso6UsY7VR6vdIGkI2FkhSWqqW3PpHWsrRT32IZYgALiHWMP1xcT08ilEo2sS8C91FI7yaeodvRqF/dxjNO8jSZLUr4eIUfid426yWbfjpTO7YHNgr9zrnS/vHwCu6HGPFYmRRiO+WpF7dD7/bGCz3Otz0sfrKd5HYhViWaH1iNH2JxFLW/0NsBpZDP383DX9xJsT0XjF6uPZbpA0BOyskCQ11e1ksyv2BNassSzjrbO80wJiI73TiCnrjwPP5vKtM77F+l+9ZrpskEs/WpJnPXqPDuvcp+we/ZQlf77qPpIkSU1xOdl+D50Oik2A/dL0uSwdE3bkZyZvPOB75uOkjXrkzZ/PX7ci75/3deApll4Ka1dg6zRdNqvi5WT7OhxNbLz8Y2ImSH6/urpi6GHSK8aeQvZzXJFYfTzbDZKGgJ0VkqSmSoD5aXo68Pb6ijLutk0ff0T11OmdxqEsRXYe4PwvS/KsQvWGhlOIdY+r7jFaZZEkSWqSZ8ni4DcAqxNf2ne+sC3bbPj/5dJ7leQpcw/ZckQvrcoI7JJL5+Orm8lGwQ/6/nkLgIvS9Byi0+Lw9Pkisk24u22bS5flgfpi6GGyPdmSW0VeQsTzMPax+mi1GyQNATsrJElNNo+s0fQJYKs+r5sM/MNYFGicdBoG0yrybE+MMKvDwZSv7zud2GcDYnZM1XrF3ZtG5r2WbLRW1SaW27H0ZpLdOg3bZ4GrK/JJkiQ1ydnEF//TgTeSLYH0Y+A3JdfcSmwEDjHQZ/UB3u8Z4Jo0vR/wnIq8nUFE3fHVo8B1afoQVmx2xZnp4/OAA4ifAcCFwJ9Lrsl/uV4WR08G3rEC5Zoo1gUOqjh/eC5dFas3qd0gaQjYWSFJarL7gX9K09OJBtSsHtdsQ6zh+/4xLFeV2UTDMj8zZFCdBugeZFPZ89YnpsfXZSPgCyXnTiKbhn1aj/scRXzGovt/Pk0vIpY6qHIG8fvR7c3A/mn6EpZ/o0dJkqTxdi/wwzT9SWKjbyhfAgliM+bPpelNga+RjX7vNpllOxO+nD6unL5P0bWHA3+Xpi9i2fjqs+njNOACYK2K8m5ace4aspj4TLIlYas+f74Tp+zL7U8z8fbDW14nUbyM0yyyDp+biE3RyzSt3SCp4aqmdEmS1ATnEA2ZTxDB7NXA94FLgTuIaeLrAlsSo65eSUyRv3XZWw2NrxEjmVYnGmqfJRoCk4CXAe8lAvOfEXtajLcbiQbDZsBXiRF8z0lfe0Wa5+b0XJmHiQbFD4AvAt8j1hLeBTierPH8MaqXwrqRmMp/I/Fzuo1oFL8B+D9pnieor/NKkiRpeZ0F7Eu2R8QTRAdAlS8TceR+xIjz24CvELHSovReuwJvAr4BzM1de1l6/4PT972e+KL5DmLk+qFkI+ofJWLSbt8hZoUcQcSttwOnAj8lZkTMIGK3Q4BfkM0YKXI28Bmyz/9bYmZJmSuIuHED4ERiVsa3ib00tiD2hdsnLcvuFfdRtKW2IdognwZ+DqxKDAQ6jvg+8Rlib5AqTWo3SBoCdlZIkobBvwC/IhpLM4nRXH9Xkf9XwP8d+2KNmQuJTprDiI6aU7rOP0s0Etahns6KjxAbFr4yPbr9GjiQaMCUWUR0KFwOfDg9un2JGHFV5bL0OIHi9Zv/DPw9MNLjPpIkSU1zMfFF+4z0+TfJlkgt81fgNcQI8zcQA3rmDfCebyO+K3otsezoeQV5HiAGCd1fcA5iwMiTxBfZGwOfKsn3ix5lmU/MKul8d/VvZHtiFFlIlP8SYDXgXemRdzUxc9u9DardQnQynZY+dltMzF65vsd9mtRukDQEXAZKkjQsvgW8EHgLsQTSncBjRGD7KLGh4FeI0VLbEbMvhtnhwFuBa4lRdE8DvyMajC8DTq6vaCwGXkU0/v6bmN2yiBi591Fiav0DfdznxjTvl4iRck8BfwL+ixi1dWyf5ZlLNH4uAx5MyzdC/D5sS7b+siRJ0jBZzNIzKaqWQMpbRMyOeDkRO95LdB48QXw5/C1iuczPFVz7FPA6YrDHt4iYbjERd19PfFH8QuLL7DLPAscQMyjOAO4iOhIWEUs1fY+Y5XBcj8/xIDGavnPPfpb4uSJ936+nZV9CjMy/hli6aJ+0LOrtLGBP4Hyy34P7iVngO1C9iXlH09oNkhpuUpJUdUpLkqQWmw1clab3pnoD6kHyVplPjML6HTFLpklGiOUCzqV6SQJJkqTxci2xVv8dxLI8E8kkIj57LjGqfv/K3CozQv8x7iB5y8xmdNoNY2EuMSMb4vdLUsO4DJQkSYJYR/aRNP0QE2O915WJkYH555IkSU2xJdmmwmfXWZCa7Et0VMDE/PyjbW3gRWl6MTHjZSLYDJiepjeoyiipfnZWSJIkWHpZgY+z9GaLbbUJMQVdkiSpid6fPj5Ff0sgtc0H0sc/EBtla8W8Oj2gmbOcx8o5wKy6CyGpP3ZWSJIkSZIk1W8qMZhiGnAQcET6+llkM2DbbA1gQ2BNYtnQ/dLXv0DsPSFJajk7KyRJmriuZmKv1TrCxP78kiSpWV5KttZ/x+/J1thvu9cTo+DzbgFOGf+itMrMugtQs9l1F0BS/ybXXQBJkiRJkiT9rwR4APg6sDvwaL3FGXd/JZYpOpXYt2JxvcWRJI2XSUmS1F0GSZIkSZIkSZI0gTmzQpIkSZIkSZIk1crOCkmSJEmSJEmSVCs7KyRJkiRJkiRJUq3srJAkSZIkSZIkSbWys0KSJEmSJEmSJNXKzgpJkiRJkiRJklQrOyskSZIkSZIkSVKt7KyQJEmSJEmSJEm1srNCkiRJkiRJkiTVys4KSZIkSZIkSZJUKzsrJEmSJEmSJElSreyskCRJkiRJkiRJtbKzQpIkSZIkSZIk1crOCkmSJEmSJEmSVCs7KyRJkiRJkiRJUq3srJAkSZIkSZIkSbWys0KSJEmSJEmSJNXKzgpJkiRJkiRJklQrOyskSZIkSZIkSVKt/j8UHlf6vB9lEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1600x800 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fore_color='white'\n",
    "plt.rcParams[\"text.color\"] = fore_color\n",
    "plt.rcParams[\"axes.labelcolor\"] = fore_color\n",
    "plt.rcParams[\"xtick.color\"] =  fore_color\n",
    "plt.rcParams[\"ytick.color\"] = fore_color\n",
    "\n",
    "fig, axes = plt.subplots(2,2, sharey=True, sharex='col', dpi=200, figsize=(8,4))\n",
    "cbins = np.arange(-10, 510, 10)\n",
    "day['Chl. a [ppb]'].plot.hist(bins=cbins, ax=axes[0,0])\n",
    "night['Chl. a [ppb]'].plot.hist(bins=cbins, ax=axes[1,0])\n",
    "axes[1, 0].set_xlabel('Chl. a [ppb]')\n",
    "\n",
    "day['Phycocyanin [ppb]'].plot.hist(bins=cbins, ax=axes[0,1])\n",
    "night['Phycocyanin [ppb]'].plot.hist(bins=cbins, ax=axes[1,1])\n",
    "axes[1,1].set_xlabel('Phycocyanin [ppb]')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "13814ad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f72fe563",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-10,   0,  10,  20,  30,  40,  50,  60,  70,  80,  90, 100, 110,\n",
       "       120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240,\n",
       "       250, 260, 270, 280, 290, 300, 310, 320, 330, 340, 350, 360, 370,\n",
       "       380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(-10, 510, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c56a9882",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}