{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3cc941d1",
   "metadata": {},
   "source": [
    "## Debarcode 12/14/2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7a4174ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "import os\n",
    "import sys\n",
    "import glob\n",
    "import pandas as pd\n",
    "import xml.etree.ElementTree as et\n",
    "import datetime\n",
    "from imageio import volread as imread\n",
    "\n",
    "import tifffile\n",
    "\n",
    "# from pystackreg import StackReg --> don't run this, run this with imlab environment\n",
    "from skimage.filters import threshold_otsu\n",
    "\n",
    "import seaborn as sns\n",
    "#from pystackreg.util import to_uint16\n",
    "\n",
    "from skimage import measure\n",
    "from scipy import stats\n",
    "import umap\n",
    "#from umap.umap_ import UMAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4c687cc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load Feature Data\n",
    "MP_CP_DIR = 'mp_cp_output'\n",
    "MP_DIR = 'mp_score_max'\n",
    "\n",
    "DATA_DIR = 'max_clean'\n",
    "Compartment = 'Soma'\n",
    "DATA_TYPE = 'max_clean'\n",
    "META_DIR = 'metadata'\n",
    "\n",
    "_allFOVs = sorted(glob.glob(f'{MP_DIR}/*'))\n",
    "allFOVs = [x.split('F')[-1][:3] for x in _allFOVs]\n",
    "allFOVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e25654fb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>channel_number</th>\n",
       "      <th>cycle_number</th>\n",
       "      <th>marker_name</th>\n",
       "      <th>Filter</th>\n",
       "      <th>excitation_wavelength</th>\n",
       "      <th>emission_wavelength</th>\n",
       "      <th>Bandwidth</th>\n",
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       "  </thead>\n",
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       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
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       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>DNA_1</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
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       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>VSVG</td>\n",
       "      <td>RFP</td>\n",
       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>FLAG</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>DNA_2</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
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       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
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       "      <td>9</td>\n",
       "    </tr>\n",
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       "      <th>10</th>\n",
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       "      <td>43</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>S</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
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       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>DNA_3</td>\n",
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       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>Ollas</td>\n",
       "      <td>GFP</td>\n",
       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>GFAP</td>\n",
       "      <td>RFP</td>\n",
       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>NeuN</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
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       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>DNA_4</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>pRPS6</td>\n",
       "      <td>GFP</td>\n",
       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>RANGAP1</td>\n",
       "      <td>RFP</td>\n",
       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>NFKB</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
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       "    <tr>\n",
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       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "      <td>DNA_5</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
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       "      <td>TOM20</td>\n",
       "      <td>GFP</td>\n",
       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
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       "      <td>594</td>\n",
       "      <td>43</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
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       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
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       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "      <td>DNA_6</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>TDP43</td>\n",
       "      <td>GFP</td>\n",
       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>Blank_561_6</td>\n",
       "      <td>RFP</td>\n",
       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>G3BP1</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>DNA_7</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>GM130</td>\n",
       "      <td>GFP</td>\n",
       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "      <td>Calnexin</td>\n",
       "      <td>RFP</td>\n",
       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "      <td>Golgin97</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>DNA_8</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>SYTO</td>\n",
       "      <td>GFP</td>\n",
       "      <td>514</td>\n",
       "      <td>538</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>9</td>\n",
       "      <td>DNA_9</td>\n",
       "      <td>DAPI</td>\n",
       "      <td>405</td>\n",
       "      <td>445</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>ER</td>\n",
       "      <td>GFP</td>\n",
       "      <td>488</td>\n",
       "      <td>521</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>AGP</td>\n",
       "      <td>RFP</td>\n",
       "      <td>561</td>\n",
       "      <td>594</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>Catalase</td>\n",
       "      <td>Cy5</td>\n",
       "      <td>637</td>\n",
       "      <td>698</td>\n",
       "      <td>77</td>\n",
       "      <td>3</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    channel_number  cycle_number  marker_name Filter  excitation_wavelength  \\\n",
       "0                1             0        DNA_0   DAPI                    405   \n",
       "1                2             0  Blank_488_0    GFP                    488   \n",
       "2                3             0  Blank_561_0    RFP                    561   \n",
       "3                4             0  Blank_637_0    Cy5                    637   \n",
       "4                5             1        DNA_1   DAPI                    405   \n",
       "5                6             1          NWS    GFP                    488   \n",
       "6                7             1         VSVG    RFP                    561   \n",
       "7                8             1         FLAG    Cy5                    637   \n",
       "8                9             2        DNA_2   DAPI                    405   \n",
       "9               10             2          HSV    GFP                    488   \n",
       "10              11             2            C    RFP                    561   \n",
       "11              12             2            S    Cy5                    637   \n",
       "12              13             3        DNA_3   DAPI                    405   \n",
       "13              14             3        Ollas    GFP                    488   \n",
       "14              15             3         GFAP    RFP                    561   \n",
       "15              16             3         NeuN    Cy5                    637   \n",
       "16              17             4        DNA_4   DAPI                    405   \n",
       "17              18             4        pRPS6    GFP                    488   \n",
       "18              19             4      RANGAP1    RFP                    561   \n",
       "19              20             4         NFKB    Cy5                    637   \n",
       "20              21             5        DNA_5   DAPI                    405   \n",
       "21              22             5        TOM20    GFP                    488   \n",
       "22              23             5        LAMP1    RFP                    561   \n",
       "23              24             5         4HNE    Cy5                    637   \n",
       "24              25             6        DNA_6   DAPI                    405   \n",
       "25              26             6        TDP43    GFP                    488   \n",
       "26              27             6  Blank_561_6    RFP                    561   \n",
       "27              28             6        G3BP1    Cy5                    637   \n",
       "28              29             7        DNA_7   DAPI                    405   \n",
       "29              30             7        GM130    GFP                    488   \n",
       "30              31             7     Calnexin    RFP                    561   \n",
       "31              32             7     Golgin97    Cy5                    637   \n",
       "32              33             8        DNA_8   DAPI                    405   \n",
       "33              34             8         SYTO    GFP                    514   \n",
       "34              35             9        DNA_9   DAPI                    405   \n",
       "35              36             9           ER    GFP                    488   \n",
       "36              37             9          AGP    RFP                    561   \n",
       "37              38             9     Catalase    Cy5                    637   \n",
       "\n",
       "    emission_wavelength  Bandwidth  ch_index  Split_Num  \n",
       "0                   445         46         0          0  \n",
       "1                   521         38         1          1  \n",
       "2                   594         43         2          2  \n",
       "3                   698         77         3          3  \n",
       "4                   445         46         0          4  \n",
       "5                   521         38         1          5  \n",
       "6                   594         43         2          6  \n",
       "7                   698         77         3          7  \n",
       "8                   445         46         0          8  \n",
       "9                   521         38         1          9  \n",
       "10                  594         43         2         10  \n",
       "11                  698         77         3         11  \n",
       "12                  445         46         0         12  \n",
       "13                  521         38         1         13  \n",
       "14                  594         43         2         14  \n",
       "15                  698         77         3         15  \n",
       "16                  445         46         0         16  \n",
       "17                  521         38         1         17  \n",
       "18                  594         43         2         18  \n",
       "19                  698         77         3         19  \n",
       "20                  445         46         0         20  \n",
       "21                  521         38         1         21  \n",
       "22                  594         43         2         22  \n",
       "23                  698         77         3         23  \n",
       "24                  445         46         0         24  \n",
       "25                  521         38         1         25  \n",
       "26                  594         43         2         26  \n",
       "27                  698         77         3         27  \n",
       "28                  445         46         0         28  \n",
       "29                  521         38         1         29  \n",
       "30                  594         43         2         30  \n",
       "31                  698         77         3         31  \n",
       "32                  445         46         0         32  \n",
       "33                  538         38         1         33  \n",
       "34                  445         46         0         34  \n",
       "35                  521         38         1         35  \n",
       "36                  594         43         2         36  \n",
       "37                  698         77         3         37  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load metadata - load full codebook as well\n",
    "full_codebook = pd.read_csv(f'../{META_DIR}/full_codebook.csv',sep=',', index_col=0) # this is \"legal\" codebook\n",
    "Procode_gRNA = pd.read_csv(f'../{META_DIR}/PROCODE_gRNA.csv',sep=',')\n",
    "legal_codes = sorted(list(set(Procode_gRNA['ProCode ID'].to_list())))\n",
    "codebook = full_codebook[legal_codes]\n",
    "#AllProcodes = pd.read_csv('AllProcodes.csv', sep='.')\n",
    "sns.heatmap(codebook, linewidths = 0.3)\n",
    "markers = pd.read_csv(f'../{META_DIR}/markers.csv')\n",
    "markers.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b249c4a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# mp_cp_output measures coloc, intensity, intensity distribution across 7 channels + nuclei\n",
    "# max_clean contains normalized background subtracted epitope channels --> use this to calculate X_norm\n",
    "# mp_score_max : use this to calculate P, logit, entropy, "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4c6d6205",
   "metadata": {},
   "outputs": [],
   "source": [
    "# cell_label = 1\n",
    "# coord_data = AllFeat\n",
    "def get_cell_coords(cell_label, coord_data):\n",
    "    \n",
    "    x2 = coord_data.loc[cell_label, 'AreaShape_BoundingBoxMaximum_X']\n",
    "    y2 = coord_data.loc[cell_label, 'AreaShape_BoundingBoxMaximum_Y']\n",
    "    x1 = coord_data.loc[cell_label, 'AreaShape_BoundingBoxMinimum_X']\n",
    "    y1 = coord_data.loc[cell_label, 'AreaShape_BoundingBoxMinimum_Y']\n",
    "    \n",
    "    return round(x1),round(x2),round(y1),round(y2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "29319770",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ImageNumber</th>\n",
       "      <th>ObjectNumber</th>\n",
       "      <th>FileName_max_clean</th>\n",
       "      <th>PathName_max_clean</th>\n",
       "      <th>Children_Cytoplasm_Count</th>\n",
       "      <th>Correlation_Correlation_C_DNA</th>\n",
       "      <th>Correlation_Correlation_C_FLAG</th>\n",
       "      <th>Correlation_Correlation_C_HSV</th>\n",
       "      <th>Correlation_Correlation_C_NWS</th>\n",
       "      <th>Correlation_Correlation_C_Ollas</th>\n",
       "      <th>...</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_2of4</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>-0.405568</td>\n",
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       "      <td>1.212362</td>\n",
       "      <td>1.064993</td>\n",
       "      <td>0.758903</td>\n",
       "      <td>1.124459</td>\n",
       "      <td>0.309291</td>\n",
       "      <td>0.368628</td>\n",
       "      <td>0.819462</td>\n",
       "      <td>1.144822</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0.108147</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0.370029</td>\n",
       "      <td>0.497995</td>\n",
       "      <td>0.401728</td>\n",
       "      <td>0.364964</td>\n",
       "      <td>0.318315</td>\n",
       "      <td>0.627694</td>\n",
       "      <td>0.566441</td>\n",
       "      <td>0.769759</td>\n",
       "      <td>0.943922</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>F000_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.043058</td>\n",
       "      <td>0.207603</td>\n",
       "      <td>0.194595</td>\n",
       "      <td>0.193065</td>\n",
       "      <td>0.173620</td>\n",
       "      <td>...</td>\n",
       "      <td>0.252914</td>\n",
       "      <td>0.569577</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.324172</td>\n",
       "      <td>2.446358</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.855921</td>\n",
       "      <td>1.268671</td>\n",
       "      <td>1.450964</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>F000_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.032741</td>\n",
       "      <td>0.102508</td>\n",
       "      <td>0.114925</td>\n",
       "      <td>0.351646</td>\n",
       "      <td>0.135021</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631931</td>\n",
       "      <td>0.913233</td>\n",
       "      <td>0.169474</td>\n",
       "      <td>0.356332</td>\n",
       "      <td>0.522433</td>\n",
       "      <td>0.730840</td>\n",
       "      <td>0.242420</td>\n",
       "      <td>0.501220</td>\n",
       "      <td>1.100836</td>\n",
       "      <td>1.040675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>F000_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.256089</td>\n",
       "      <td>0.230455</td>\n",
       "      <td>-0.008437</td>\n",
       "      <td>0.485189</td>\n",
       "      <td>-0.006212</td>\n",
       "      <td>...</td>\n",
       "      <td>0.774487</td>\n",
       "      <td>0.511029</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.039550</td>\n",
       "      <td>1.155751</td>\n",
       "      <td>1.047892</td>\n",
       "      <td>0.079289</td>\n",
       "      <td>0.091116</td>\n",
       "      <td>0.104703</td>\n",
       "      <td>0.218402</td>\n",
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       "      <td>...</td>\n",
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       "      <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>133695</th>\n",
       "      <td>225</td>\n",
       "      <td>258</td>\n",
       "      <td>F224_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.016898</td>\n",
       "      <td>0.946519</td>\n",
       "      <td>0.955163</td>\n",
       "      <td>-0.045599</td>\n",
       "      <td>-0.034391</td>\n",
       "      <td>...</td>\n",
       "      <td>0.243910</td>\n",
       "      <td>0.365390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.096991</td>\n",
       "      <td>1.612524</td>\n",
       "      <td>0.836004</td>\n",
       "      <td>0.597099</td>\n",
       "      <td>0.537393</td>\n",
       "      <td>0.890798</td>\n",
       "      <td>0.737002</td>\n",
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       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>225</td>\n",
       "      <td>259</td>\n",
       "      <td>F224_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.118881</td>\n",
       "      <td>0.333881</td>\n",
       "      <td>0.735675</td>\n",
       "      <td>0.133157</td>\n",
       "      <td>0.714265</td>\n",
       "      <td>...</td>\n",
       "      <td>1.094172</td>\n",
       "      <td>1.108408</td>\n",
       "      <td>0.603334</td>\n",
       "      <td>0.314654</td>\n",
       "      <td>0.680284</td>\n",
       "      <td>1.457429</td>\n",
       "      <td>0.200216</td>\n",
       "      <td>0.107832</td>\n",
       "      <td>0.389603</td>\n",
       "      <td>0.697496</td>\n",
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       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>225</td>\n",
       "      <td>260</td>\n",
       "      <td>F224_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.058207</td>\n",
       "      <td>-0.021145</td>\n",
       "      <td>-0.112881</td>\n",
       "      <td>-0.116101</td>\n",
       "      <td>-0.113942</td>\n",
       "      <td>...</td>\n",
       "      <td>1.190447</td>\n",
       "      <td>1.224097</td>\n",
       "      <td>0.980566</td>\n",
       "      <td>1.063520</td>\n",
       "      <td>1.301983</td>\n",
       "      <td>1.526587</td>\n",
       "      <td>2.645751</td>\n",
       "      <td>1.242633</td>\n",
       "      <td>1.452134</td>\n",
       "      <td>0.919034</td>\n",
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       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>225</td>\n",
       "      <td>261</td>\n",
       "      <td>F224_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.068751</td>\n",
       "      <td>0.338446</td>\n",
       "      <td>0.076893</td>\n",
       "      <td>0.002022</td>\n",
       "      <td>0.339401</td>\n",
       "      <td>...</td>\n",
       "      <td>0.263019</td>\n",
       "      <td>0.577645</td>\n",
       "      <td>0.919920</td>\n",
       "      <td>0.704140</td>\n",
       "      <td>0.612588</td>\n",
       "      <td>1.229488</td>\n",
       "      <td>0.120038</td>\n",
       "      <td>0.191206</td>\n",
       "      <td>0.338359</td>\n",
       "      <td>0.523559</td>\n",
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       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>225</td>\n",
       "      <td>262</td>\n",
       "      <td>F224_max_clean.tif</td>\n",
       "      <td>/mnt/disks/store/101222_D10_Coverslip1_Process...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.207050</td>\n",
       "      <td>-0.142933</td>\n",
       "      <td>0.979791</td>\n",
       "      <td>-0.173542</td>\n",
       "      <td>-0.168577</td>\n",
       "      <td>...</td>\n",
       "      <td>0.928728</td>\n",
       "      <td>0.557939</td>\n",
       "      <td>1.446617</td>\n",
       "      <td>1.325720</td>\n",
       "      <td>1.080990</td>\n",
       "      <td>1.125394</td>\n",
       "      <td>0.122647</td>\n",
       "      <td>0.252892</td>\n",
       "      <td>0.273385</td>\n",
       "      <td>0.544454</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 522 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ImageNumber  ObjectNumber  FileName_max_clean  \\\n",
       "0                 1             1  F000_max_clean.tif   \n",
       "1                 1             2  F000_max_clean.tif   \n",
       "2                 1             3  F000_max_clean.tif   \n",
       "3                 1             4  F000_max_clean.tif   \n",
       "4                 1             5  F000_max_clean.tif   \n",
       "...             ...           ...                 ...   \n",
       "133695          225           258  F224_max_clean.tif   \n",
       "133696          225           259  F224_max_clean.tif   \n",
       "133697          225           260  F224_max_clean.tif   \n",
       "133698          225           261  F224_max_clean.tif   \n",
       "133699          225           262  F224_max_clean.tif   \n",
       "\n",
       "                                       PathName_max_clean  \\\n",
       "0       /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "1       /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "2       /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "3       /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "4       /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "...                                                   ...   \n",
       "133695  /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "133696  /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "133697  /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "133698  /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "133699  /mnt/disks/store/101222_D10_Coverslip1_Process...   \n",
       "\n",
       "        Children_Cytoplasm_Count  Correlation_Correlation_C_DNA  \\\n",
       "0                              1                      -0.405568   \n",
       "1                              1                      -0.120659   \n",
       "2                              1                      -0.043058   \n",
       "3                              1                       0.032741   \n",
       "4                              1                      -0.256089   \n",
       "...                          ...                            ...   \n",
       "133695                         1                       0.016898   \n",
       "133696                         1                      -0.118881   \n",
       "133697                         1                      -0.058207   \n",
       "133698                         1                      -0.068751   \n",
       "133699                         1                       0.207050   \n",
       "\n",
       "        Correlation_Correlation_C_FLAG  Correlation_Correlation_C_HSV  \\\n",
       "0                             0.579144                      -0.029948   \n",
       "1                            -0.053589                       0.108147   \n",
       "2                             0.207603                       0.194595   \n",
       "3                             0.102508                       0.114925   \n",
       "4                             0.230455                      -0.008437   \n",
       "...                                ...                            ...   \n",
       "133695                        0.946519                       0.955163   \n",
       "133696                        0.333881                       0.735675   \n",
       "133697                       -0.021145                      -0.112881   \n",
       "133698                        0.338446                       0.076893   \n",
       "133699                       -0.142933                       0.979791   \n",
       "\n",
       "        Correlation_Correlation_C_NWS  Correlation_Correlation_C_Ollas  ...  \\\n",
       "0                            0.891888                         0.002846  ...   \n",
       "1                           -0.019662                        -0.006271  ...   \n",
       "2                            0.193065                         0.173620  ...   \n",
       "3                            0.351646                         0.135021  ...   \n",
       "4                            0.485189                        -0.006212  ...   \n",
       "...                               ...                              ...  ...   \n",
       "133695                      -0.045599                        -0.034391  ...   \n",
       "133696                       0.133157                         0.714265  ...   \n",
       "133697                      -0.116101                        -0.113942  ...   \n",
       "133698                       0.002022                         0.339401  ...   \n",
       "133699                      -0.173542                        -0.168577  ...   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_3of4  \\\n",
       "0                                     0.391393   \n",
       "1                                     0.605029   \n",
       "2                                     0.252914   \n",
       "3                                     0.631931   \n",
       "4                                     0.774487   \n",
       "...                                        ...   \n",
       "133695                                0.243910   \n",
       "133696                                1.094172   \n",
       "133697                                1.190447   \n",
       "133698                                0.263019   \n",
       "133699                                0.928728   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_4of4  \\\n",
       "0                                     0.781718   \n",
       "1                                     0.370029   \n",
       "2                                     0.569577   \n",
       "3                                     0.913233   \n",
       "4                                     0.511029   \n",
       "...                                        ...   \n",
       "133695                                0.365390   \n",
       "133696                                1.108408   \n",
       "133697                                1.224097   \n",
       "133698                                0.577645   \n",
       "133699                                0.557939   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_1of4  \\\n",
       "0                                 1.212362   \n",
       "1                                 0.497995   \n",
       "2                                 0.000000   \n",
       "3                                 0.169474   \n",
       "4                                 0.000000   \n",
       "...                                    ...   \n",
       "133695                            0.000000   \n",
       "133696                            0.603334   \n",
       "133697                            0.980566   \n",
       "133698                            0.919920   \n",
       "133699                            1.446617   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_2of4  \\\n",
       "0                                 1.064993   \n",
       "1                                 0.401728   \n",
       "2                                 0.000000   \n",
       "3                                 0.356332   \n",
       "4                                 2.039550   \n",
       "...                                    ...   \n",
       "133695                            1.096991   \n",
       "133696                            0.314654   \n",
       "133697                            1.063520   \n",
       "133698                            0.704140   \n",
       "133699                            1.325720   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_3of4  \\\n",
       "0                                 0.758903   \n",
       "1                                 0.364964   \n",
       "2                                 2.324172   \n",
       "3                                 0.522433   \n",
       "4                                 1.155751   \n",
       "...                                    ...   \n",
       "133695                            1.612524   \n",
       "133696                            0.680284   \n",
       "133697                            1.301983   \n",
       "133698                            0.612588   \n",
       "133699                            1.080990   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_4of4  \\\n",
       "0                                 1.124459   \n",
       "1                                 0.318315   \n",
       "2                                 2.446358   \n",
       "3                                 0.730840   \n",
       "4                                 1.047892   \n",
       "...                                    ...   \n",
       "133695                            0.836004   \n",
       "133696                            1.457429   \n",
       "133697                            1.526587   \n",
       "133698                            1.229488   \n",
       "133699                            1.125394   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_1of4  \\\n",
       "0                                    0.309291   \n",
       "1                                    0.627694   \n",
       "2                                    0.000000   \n",
       "3                                    0.242420   \n",
       "4                                    0.079289   \n",
       "...                                       ...   \n",
       "133695                               0.597099   \n",
       "133696                               0.200216   \n",
       "133697                               2.645751   \n",
       "133698                               0.120038   \n",
       "133699                               0.122647   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_2of4  \\\n",
       "0                                    0.368628   \n",
       "1                                    0.566441   \n",
       "2                                    1.855921   \n",
       "3                                    0.501220   \n",
       "4                                    0.091116   \n",
       "...                                       ...   \n",
       "133695                               0.537393   \n",
       "133696                               0.107832   \n",
       "133697                               1.242633   \n",
       "133698                               0.191206   \n",
       "133699                               0.252892   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_3of4  \\\n",
       "0                                    0.819462   \n",
       "1                                    0.769759   \n",
       "2                                    1.268671   \n",
       "3                                    1.100836   \n",
       "4                                    0.104703   \n",
       "...                                       ...   \n",
       "133695                               0.890798   \n",
       "133696                               0.389603   \n",
       "133697                               1.452134   \n",
       "133698                               0.338359   \n",
       "133699                               0.273385   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_4of4  \n",
       "0                                    1.144822  \n",
       "1                                    0.943922  \n",
       "2                                    1.450964  \n",
       "3                                    1.040675  \n",
       "4                                    0.218402  \n",
       "...                                       ...  \n",
       "133695                               0.737002  \n",
       "133696                               0.697496  \n",
       "133697                               0.919034  \n",
       "133698                               0.523559  \n",
       "133699                               0.544454  \n",
       "\n",
       "[133700 rows x 522 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpcp_df = pd.read_csv(f'{MP_CP_DIR}/MPFeat_SYTO_.csv', sep=',')\n",
    "mpcp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6c07919f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>ImageNumber</th>\n",
       "      <th>ObjectNumber</th>\n",
       "      <th>FileName_Cyto</th>\n",
       "      <th>FileName_Nuclei</th>\n",
       "      <th>FileName_Soma</th>\n",
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       "      <th>AreaShape_Solidity</th>\n",
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       "      <th>Location_Center_Y</th>\n",
       "      <th>Location_Center_Z</th>\n",
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       "      <td>F000_max_clean_Soma.tiff</td>\n",
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       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
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       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>529</td>\n",
       "      <td>728</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>24.665766</td>\n",
       "      <td>25.501090</td>\n",
       "      <td>-86.568274</td>\n",
       "      <td>87.012193</td>\n",
       "      <td>0.958333</td>\n",
       "      <td>1728.088847</td>\n",
       "      <td>33.882798</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>996</td>\n",
       "      <td>2220</td>\n",
       "      <td>...</td>\n",
       "      <td>3.605551</td>\n",
       "      <td>35.198990</td>\n",
       "      <td>32.656906</td>\n",
       "      <td>73.725863</td>\n",
       "      <td>174.888348</td>\n",
       "      <td>0.684536</td>\n",
       "      <td>1229.575301</td>\n",
       "      <td>42.458835</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>480</td>\n",
       "      <td>600</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>24.067315</td>\n",
       "      <td>-38.092519</td>\n",
       "      <td>80.769553</td>\n",
       "      <td>0.967742</td>\n",
       "      <td>41.410417</td>\n",
       "      <td>43.433333</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>998</td>\n",
       "      <td>1440</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>29.346811</td>\n",
       "      <td>30.157882</td>\n",
       "      <td>-0.908166</td>\n",
       "      <td>126.053824</td>\n",
       "      <td>0.945076</td>\n",
       "      <td>1542.640281</td>\n",
       "      <td>45.852705</td>\n",
       "      <td>0</td>\n",
       "      <td>5</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>225</td>\n",
       "      <td>258</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1298</td>\n",
       "      <td>1960</td>\n",
       "      <td>...</td>\n",
       "      <td>5.521010</td>\n",
       "      <td>31.243303</td>\n",
       "      <td>30.573337</td>\n",
       "      <td>54.753466</td>\n",
       "      <td>146.367532</td>\n",
       "      <td>0.957227</td>\n",
       "      <td>1763.477658</td>\n",
       "      <td>1954.303544</td>\n",
       "      <td>0</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>225</td>\n",
       "      <td>259</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1049</td>\n",
       "      <td>1600</td>\n",
       "      <td>...</td>\n",
       "      <td>4.472136</td>\n",
       "      <td>30.661697</td>\n",
       "      <td>29.361916</td>\n",
       "      <td>-77.674563</td>\n",
       "      <td>147.095454</td>\n",
       "      <td>0.877090</td>\n",
       "      <td>1595.878932</td>\n",
       "      <td>1963.214490</td>\n",
       "      <td>0</td>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>225</td>\n",
       "      <td>260</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1064</td>\n",
       "      <td>1665</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>30.530467</td>\n",
       "      <td>31.309183</td>\n",
       "      <td>57.955243</td>\n",
       "      <td>132.710678</td>\n",
       "      <td>0.958559</td>\n",
       "      <td>1415.094925</td>\n",
       "      <td>1982.528195</td>\n",
       "      <td>0</td>\n",
       "      <td>260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>225</td>\n",
       "      <td>261</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>662</td>\n",
       "      <td>870</td>\n",
       "      <td>...</td>\n",
       "      <td>4.472136</td>\n",
       "      <td>26.870058</td>\n",
       "      <td>27.749116</td>\n",
       "      <td>-50.909529</td>\n",
       "      <td>94.669048</td>\n",
       "      <td>0.969253</td>\n",
       "      <td>1855.261329</td>\n",
       "      <td>1989.951662</td>\n",
       "      <td>0</td>\n",
       "      <td>261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>225</td>\n",
       "      <td>262</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1515</td>\n",
       "      <td>2703</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>46.510214</td>\n",
       "      <td>40.948147</td>\n",
       "      <td>16.990738</td>\n",
       "      <td>198.202056</td>\n",
       "      <td>0.806709</td>\n",
       "      <td>1229.413861</td>\n",
       "      <td>1977.320132</td>\n",
       "      <td>0</td>\n",
       "      <td>262</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ImageNumber  ObjectNumber             FileName_Cyto  \\\n",
       "0                 1             1  F000_max_clean_Cyto.tiff   \n",
       "1                 1             2  F000_max_clean_Cyto.tiff   \n",
       "2                 1             3  F000_max_clean_Cyto.tiff   \n",
       "3                 1             4  F000_max_clean_Cyto.tiff   \n",
       "4                 1             5  F000_max_clean_Cyto.tiff   \n",
       "...             ...           ...                       ...   \n",
       "133695          225           258  F224_max_clean_Cyto.tiff   \n",
       "133696          225           259  F224_max_clean_Cyto.tiff   \n",
       "133697          225           260  F224_max_clean_Cyto.tiff   \n",
       "133698          225           261  F224_max_clean_Cyto.tiff   \n",
       "133699          225           262  F224_max_clean_Cyto.tiff   \n",
       "\n",
       "                   FileName_Nuclei             FileName_Soma  \\\n",
       "0       F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "1       F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "2       F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "3       F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "4       F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "...                            ...                       ...   \n",
       "133695  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "133696  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "133697  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "133698  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "133699  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "\n",
       "                                            PathName_Cyto  \\\n",
       "0       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "1       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "2       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "...                                                   ...   \n",
       "133695  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133696  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133697  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133698  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133699  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "\n",
       "                                          PathName_Nuclei  \\\n",
       "0       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "1       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "2       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "...                                                   ...   \n",
       "133695  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133696  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133697  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133698  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133699  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "\n",
       "                                            PathName_Soma  AreaShape_Area  \\\n",
       "0       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             630   \n",
       "1       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             529   \n",
       "2       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             996   \n",
       "3       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             480   \n",
       "4       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             998   \n",
       "...                                                   ...             ...   \n",
       "133695  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1298   \n",
       "133696  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1049   \n",
       "133697  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1064   \n",
       "133698  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             662   \n",
       "133699  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1515   \n",
       "\n",
       "        AreaShape_BoundingBoxArea  ...  AreaShape_MedianRadius  \\\n",
       "0                             784  ...                4.123106   \n",
       "1                             728  ...                4.000000   \n",
       "2                            2220  ...                3.605551   \n",
       "3                             600  ...                4.000000   \n",
       "4                            1440  ...                5.000000   \n",
       "...                           ...  ...                     ...   \n",
       "133695                       1960  ...                5.521010   \n",
       "133696                       1600  ...                4.472136   \n",
       "133697                       1665  ...                5.000000   \n",
       "133698                        870  ...                4.472136   \n",
       "133699                       2703  ...                5.000000   \n",
       "\n",
       "        AreaShape_MinFeretDiameter  AreaShape_MinorAxisLength  \\\n",
       "0                        26.563132                  27.014496   \n",
       "1                        24.665766                  25.501090   \n",
       "2                        35.198990                  32.656906   \n",
       "3                        23.000000                  24.067315   \n",
       "4                        29.346811                  30.157882   \n",
       "...                            ...                        ...   \n",
       "133695                   31.243303                  30.573337   \n",
       "133696                   30.661697                  29.361916   \n",
       "133697                   30.530467                  31.309183   \n",
       "133698                   26.870058                  27.749116   \n",
       "133699                   46.510214                  40.948147   \n",
       "\n",
       "        AreaShape_Orientation  AreaShape_Perimeter  AreaShape_Solidity  \\\n",
       "0                   57.617647            96.840620            0.954545   \n",
       "1                  -86.568274            87.012193            0.958333   \n",
       "2                   73.725863           174.888348            0.684536   \n",
       "3                  -38.092519            80.769553            0.967742   \n",
       "4                   -0.908166           126.053824            0.945076   \n",
       "...                       ...                  ...                 ...   \n",
       "133695              54.753466           146.367532            0.957227   \n",
       "133696             -77.674563           147.095454            0.877090   \n",
       "133697              57.955243           132.710678            0.958559   \n",
       "133698             -50.909529            94.669048            0.969253   \n",
       "133699              16.990738           198.202056            0.806709   \n",
       "\n",
       "        Location_Center_X  Location_Center_Y  Location_Center_Z  \\\n",
       "0             1519.874603          16.922222                  0   \n",
       "1             1728.088847          33.882798                  0   \n",
       "2             1229.575301          42.458835                  0   \n",
       "3               41.410417          43.433333                  0   \n",
       "4             1542.640281          45.852705                  0   \n",
       "...                   ...                ...                ...   \n",
       "133695        1763.477658        1954.303544                  0   \n",
       "133696        1595.878932        1963.214490                  0   \n",
       "133697        1415.094925        1982.528195                  0   \n",
       "133698        1855.261329        1989.951662                  0   \n",
       "133699        1229.413861        1977.320132                  0   \n",
       "\n",
       "        Number_Object_Number  \n",
       "0                          1  \n",
       "1                          2  \n",
       "2                          3  \n",
       "3                          4  \n",
       "4                          5  \n",
       "...                      ...  \n",
       "133695                   258  \n",
       "133696                   259  \n",
       "133697                   260  \n",
       "133698                   261  \n",
       "133699                   262  \n",
       "\n",
       "[133700 rows x 37 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seg_df = pd.read_csv(f'seg/SegFeatSoma_.csv', sep=',')\n",
    "seg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7f90a766",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22, 2015, 2018)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fov = '125'\n",
    "mpscore = imread(f'{MP_DIR}/F{fov}_mp_score_max.tif')\n",
    "mpscore.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "563e7be8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/s7/fg8686z944s5332vtll29z5h0000gn/T/ipykernel_18898/2368406064.py:2: MatplotlibDeprecationWarning: You are modifying the state of a globally registered colormap. This has been deprecated since 3.3 and in 3.6, you will not be able to modify a registered colormap in-place. To remove this warning, you can make a copy of the colormap first. cmap = mpl.cm.get_cmap(\"tab20\").copy()\n",
      "  cm.set_bad('k')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2b5932670>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = plt.get_cmap('tab20')\n",
    "cm.set_bad('k')\n",
    "plt.figure(figsize=(12,12))\n",
    "plt.gca().matshow(np.where(mpscore.max(0)==0, np.nan, mpscore.argmax(0)),cmap=cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "410292f4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading... mp_cp_output/F000_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "280\n",
      ".................................................\n",
      "Reading... mp_cp_output/F001_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "580\n",
      ".................................................\n",
      "Reading... mp_cp_output/F002_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "833\n",
      ".................................................\n",
      "Reading... mp_cp_output/F003_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "1196\n",
      ".................................................\n",
      "Reading... mp_cp_output/F004_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "1594\n",
      ".................................................\n",
      "Reading... mp_cp_output/F005_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "1922\n",
      ".................................................\n",
      "Reading... mp_cp_output/F006_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "2254\n",
      ".................................................\n",
      "Reading... mp_cp_output/F007_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "2522\n",
      ".................................................\n",
      "Reading... mp_cp_output/F008_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "2843\n",
      ".................................................\n",
      "Reading... mp_cp_output/F009_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "3086\n",
      ".................................................\n",
      "Reading... mp_cp_output/F010_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "3418\n",
      ".................................................\n",
      "Reading... mp_cp_output/F011_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "3726\n",
      ".................................................\n",
      "Reading... mp_cp_output/F012_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "4039\n",
      ".................................................\n",
      "Reading... mp_cp_output/F013_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "4392\n",
      ".................................................\n",
      "Reading... mp_cp_output/F014_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "4773\n",
      ".................................................\n",
      "Reading... mp_cp_output/F015_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "5225\n",
      ".................................................\n",
      "Reading... mp_cp_output/F016_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "5608\n",
      ".................................................\n",
      "Reading... mp_cp_output/F017_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "5979\n",
      ".................................................\n",
      "Reading... mp_cp_output/F018_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "6299\n",
      ".................................................\n",
      "Reading... mp_cp_output/F019_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "6631\n",
      ".................................................\n",
      "Reading... mp_cp_output/F020_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "6928\n",
      ".................................................\n",
      "Reading... mp_cp_output/F021_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "7349\n",
      ".................................................\n",
      "Reading... mp_cp_output/F022_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "7664\n",
      ".................................................\n",
      "Reading... mp_cp_output/F023_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "8070\n",
      ".................................................\n",
      "Reading... mp_cp_output/F024_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "8549\n",
      ".................................................\n",
      "Reading... mp_cp_output/F025_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "8928\n",
      ".................................................\n",
      "Reading... mp_cp_output/F026_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "9324\n",
      ".................................................\n",
      "Reading... mp_cp_output/F027_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "9784\n",
      ".................................................\n",
      "Reading... mp_cp_output/F028_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "10288\n",
      ".................................................\n",
      "Reading... mp_cp_output/F029_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "10716\n",
      ".................................................\n",
      "Reading... mp_cp_output/F030_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "11296\n",
      ".................................................\n",
      "Reading... mp_cp_output/F031_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "11824\n",
      ".................................................\n",
      "Reading... mp_cp_output/F032_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "12332\n",
      ".................................................\n",
      "Reading... mp_cp_output/F033_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "12743\n",
      ".................................................\n",
      "Reading... mp_cp_output/F034_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "13058\n",
      ".................................................\n",
      "Reading... mp_cp_output/F035_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "13479\n",
      ".................................................\n",
      "Reading... mp_cp_output/F036_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "13926\n",
      ".................................................\n",
      "Reading... mp_cp_output/F037_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "14457\n",
      ".................................................\n",
      "Reading... mp_cp_output/F038_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "15148\n",
      ".................................................\n",
      "Reading... mp_cp_output/F039_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "15863\n",
      ".................................................\n",
      "Reading... mp_cp_output/F040_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "16630\n",
      ".................................................\n",
      "Reading... mp_cp_output/F041_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "17461\n",
      ".................................................\n",
      "Reading... mp_cp_output/F042_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "18215\n",
      ".................................................\n",
      "Reading... mp_cp_output/F043_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "18755\n",
      ".................................................\n",
      "Reading... mp_cp_output/F044_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "19281\n",
      ".................................................\n",
      "Reading... mp_cp_output/F045_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "19948\n",
      ".................................................\n",
      "Reading... mp_cp_output/F046_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "20625\n",
      ".................................................\n",
      "Reading... mp_cp_output/F047_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "21382\n",
      ".................................................\n",
      "Reading... mp_cp_output/F048_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "22322\n",
      ".................................................\n",
      "Reading... mp_cp_output/F049_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "23463\n",
      ".................................................\n",
      "Reading... mp_cp_output/F050_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "24016\n",
      ".................................................\n",
      "Reading... mp_cp_output/F051_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "24753\n",
      ".................................................\n",
      "Reading... mp_cp_output/F052_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "25729\n",
      ".................................................\n",
      "Reading... mp_cp_output/F053_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "26802\n",
      ".................................................\n",
      "Reading... mp_cp_output/F054_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "27630\n",
      ".................................................\n",
      "Reading... mp_cp_output/F055_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "28717\n",
      ".................................................\n",
      "Reading... mp_cp_output/F056_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "29878\n",
      ".................................................\n",
      "Reading... mp_cp_output/F057_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "30895\n",
      ".................................................\n",
      "Reading... mp_cp_output/F058_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "31691\n",
      ".................................................\n",
      "Reading... mp_cp_output/F059_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "32326\n",
      ".................................................\n",
      "Reading... mp_cp_output/F060_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "33051\n",
      ".................................................\n",
      "Reading... mp_cp_output/F061_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "33835\n",
      ".................................................\n",
      "Reading... mp_cp_output/F062_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "34944\n",
      ".................................................\n",
      "Reading... mp_cp_output/F063_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "36268\n",
      ".................................................\n",
      "Reading... mp_cp_output/F064_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "37595\n",
      ".................................................\n",
      "Reading... mp_cp_output/F065_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "39227\n",
      ".................................................\n",
      "Reading... mp_cp_output/F066_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "40991\n",
      ".................................................\n",
      "Reading... mp_cp_output/F067_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "42526\n",
      ".................................................\n",
      "Reading... mp_cp_output/F068_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "43786\n",
      ".................................................\n",
      "Reading... mp_cp_output/F069_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "44781\n",
      ".................................................\n",
      "Reading... mp_cp_output/F070_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "46064\n",
      ".................................................\n",
      "Reading... mp_cp_output/F071_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "47699\n",
      ".................................................\n",
      "Reading... mp_cp_output/F072_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "49487\n",
      ".................................................\n",
      "Reading... mp_cp_output/F073_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "51281\n",
      ".................................................\n",
      "Reading... mp_cp_output/F074_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "52993\n",
      ".................................................\n",
      "Reading... mp_cp_output/F075_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "54343\n",
      ".................................................\n",
      "Reading... mp_cp_output/F076_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "55930\n",
      ".................................................\n",
      "Reading... mp_cp_output/F077_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "57646\n",
      ".................................................\n",
      "Reading... mp_cp_output/F078_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "59305\n",
      ".................................................\n",
      "Reading... mp_cp_output/F079_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "60947\n",
      ".................................................\n",
      "Reading... mp_cp_output/F080_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "62181\n",
      ".................................................\n",
      "Reading... mp_cp_output/F081_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "63466\n",
      ".................................................\n",
      "Reading... mp_cp_output/F082_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "64641\n",
      ".................................................\n",
      "Reading... mp_cp_output/F083_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "65748\n",
      ".................................................\n",
      "Reading... mp_cp_output/F084_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "66835\n",
      ".................................................\n",
      "Reading... mp_cp_output/F085_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "67750\n",
      ".................................................\n",
      "Reading... mp_cp_output/F086_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "68571\n",
      ".................................................\n",
      "Reading... mp_cp_output/F087_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "69421\n",
      ".................................................\n",
      "Reading... mp_cp_output/F088_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "70239\n",
      ".................................................\n",
      "Reading... mp_cp_output/F089_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "71236\n",
      ".................................................\n",
      "Reading... mp_cp_output/F090_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "71869\n",
      ".................................................\n",
      "Reading... mp_cp_output/F091_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "72417\n",
      ".................................................\n",
      "Reading... mp_cp_output/F092_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "73136\n",
      ".................................................\n",
      "Reading... mp_cp_output/F093_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "73901\n",
      ".................................................\n",
      "Reading... mp_cp_output/F094_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "74645\n",
      ".................................................\n",
      "Reading... mp_cp_output/F095_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "75315\n",
      ".................................................\n",
      "Reading... mp_cp_output/F096_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "75914\n",
      ".................................................\n",
      "Reading... mp_cp_output/F097_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "76488\n",
      ".................................................\n",
      "Reading... mp_cp_output/F098_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "76976\n",
      ".................................................\n",
      "Reading... mp_cp_output/F099_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "77557\n",
      ".................................................\n",
      "Reading... mp_cp_output/F100_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "78192\n",
      ".................................................\n",
      "Reading... mp_cp_output/F101_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "78891\n",
      ".................................................\n",
      "Reading... mp_cp_output/F102_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "79636\n",
      ".................................................\n",
      "Reading... mp_cp_output/F103_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "80538\n",
      ".................................................\n",
      "Reading... mp_cp_output/F104_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "81598\n",
      ".................................................\n",
      "Reading... mp_cp_output/F105_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "82507\n",
      ".................................................\n",
      "Reading... mp_cp_output/F106_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "83284\n",
      ".................................................\n",
      "Reading... mp_cp_output/F107_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "84082\n",
      ".................................................\n",
      "Reading... mp_cp_output/F108_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "84689\n",
      ".................................................\n",
      "Reading... mp_cp_output/F109_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "85285\n",
      ".................................................\n",
      "Reading... mp_cp_output/F110_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "85880\n",
      ".................................................\n",
      "Reading... mp_cp_output/F111_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "86470\n",
      ".................................................\n",
      "Reading... mp_cp_output/F112_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "86979\n",
      ".................................................\n",
      "Reading... mp_cp_output/F113_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "87741\n",
      ".................................................\n",
      "Reading... mp_cp_output/F114_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "88586\n",
      ".................................................\n",
      "Reading... mp_cp_output/F115_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "89311\n",
      ".................................................\n",
      "Reading... mp_cp_output/F116_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "90023\n",
      ".................................................\n",
      "Reading... mp_cp_output/F117_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "90698\n",
      ".................................................\n",
      "Reading... mp_cp_output/F118_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "91284\n",
      ".................................................\n",
      "Reading... mp_cp_output/F119_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "91758\n",
      ".................................................\n",
      "Reading... mp_cp_output/F120_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "92245\n",
      ".................................................\n",
      "Reading... mp_cp_output/F121_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "92758\n",
      ".................................................\n",
      "Reading... mp_cp_output/F122_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "93298\n",
      ".................................................\n",
      "Reading... mp_cp_output/F123_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "93952\n",
      ".................................................\n",
      "Reading... mp_cp_output/F124_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "94669\n",
      ".................................................\n",
      "Reading... mp_cp_output/F125_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "94936\n",
      ".................................................\n",
      "Reading... mp_cp_output/F126_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "95411\n",
      ".................................................\n",
      "Reading... mp_cp_output/F127_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "95784\n",
      ".................................................\n",
      "Reading... mp_cp_output/F128_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "96370\n",
      ".................................................\n",
      "Reading... mp_cp_output/F129_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "96877\n",
      ".................................................\n",
      "Reading... mp_cp_output/F130_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "97434\n",
      ".................................................\n",
      "Reading... mp_cp_output/F131_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "97893\n",
      ".................................................\n",
      "Reading... mp_cp_output/F132_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "98279\n",
      ".................................................\n",
      "Reading... mp_cp_output/F133_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "98592\n",
      ".................................................\n",
      "Reading... mp_cp_output/F134_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "99021\n",
      ".................................................\n",
      "Reading... mp_cp_output/F135_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "99351\n",
      ".................................................\n",
      "Reading... mp_cp_output/F136_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "99860\n",
      ".................................................\n",
      "Reading... mp_cp_output/F137_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "100340\n",
      ".................................................\n",
      "Reading... mp_cp_output/F138_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "100813\n",
      ".................................................\n",
      "Reading... mp_cp_output/F139_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "101266\n",
      ".................................................\n",
      "Reading... mp_cp_output/F140_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "101674\n",
      ".................................................\n",
      "Reading... mp_cp_output/F141_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "102053\n",
      ".................................................\n",
      "Reading... mp_cp_output/F142_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "102527\n",
      ".................................................\n",
      "Reading... mp_cp_output/F143_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "102923\n",
      ".................................................\n",
      "Reading... mp_cp_output/F144_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "103354\n",
      ".................................................\n",
      "Reading... mp_cp_output/F145_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "103769\n",
      ".................................................\n",
      "Reading... mp_cp_output/F146_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "104231\n",
      ".................................................\n",
      "Reading... mp_cp_output/F147_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "104643\n",
      ".................................................\n",
      "Reading... mp_cp_output/F148_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "105162\n",
      ".................................................\n",
      "Reading... mp_cp_output/F149_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "105601\n",
      ".................................................\n",
      "Reading... mp_cp_output/F150_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "105845\n",
      ".................................................\n",
      "Reading... mp_cp_output/F151_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "106320\n",
      ".................................................\n",
      "Reading... mp_cp_output/F152_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "106740\n",
      ".................................................\n",
      "Reading... mp_cp_output/F153_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "107204\n",
      ".................................................\n",
      "Reading... mp_cp_output/F154_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "107670\n",
      ".................................................\n",
      "Reading... mp_cp_output/F155_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "108004\n",
      ".................................................\n",
      "Reading... mp_cp_output/F156_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "108370\n",
      ".................................................\n",
      "Reading... mp_cp_output/F157_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "108701\n",
      ".................................................\n",
      "Reading... mp_cp_output/F158_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "109063\n",
      ".................................................\n",
      "Reading... mp_cp_output/F159_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "109371\n",
      ".................................................\n",
      "Reading... mp_cp_output/F160_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "109762\n",
      ".................................................\n",
      "Reading... mp_cp_output/F161_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "110062\n",
      ".................................................\n",
      "Reading... mp_cp_output/F162_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "110444\n",
      ".................................................\n",
      "Reading... mp_cp_output/F163_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "110815\n",
      ".................................................\n",
      "Reading... mp_cp_output/F164_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "111174\n",
      ".................................................\n",
      "Reading... mp_cp_output/F165_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "111504\n",
      ".................................................\n",
      "Reading... mp_cp_output/F166_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "111815\n",
      ".................................................\n",
      "Reading... mp_cp_output/F167_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "112156\n",
      ".................................................\n",
      "Reading... mp_cp_output/F168_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "112463\n",
      ".................................................\n",
      "Reading... mp_cp_output/F169_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "112755\n",
      ".................................................\n",
      "Reading... mp_cp_output/F170_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "113007\n",
      ".................................................\n",
      "Reading... mp_cp_output/F171_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "113319\n",
      ".................................................\n",
      "Reading... mp_cp_output/F172_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "113699\n",
      ".................................................\n",
      "Reading... mp_cp_output/F173_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "113981\n",
      ".................................................\n",
      "Reading... mp_cp_output/F174_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "114301\n",
      ".................................................\n",
      "Reading... mp_cp_output/F175_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "114749\n",
      ".................................................\n",
      "Reading... mp_cp_output/F176_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "115328\n",
      ".................................................\n",
      "Reading... mp_cp_output/F177_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "115883\n",
      ".................................................\n",
      "Reading... mp_cp_output/F178_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "116465\n",
      ".................................................\n",
      "Reading... mp_cp_output/F179_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "116981\n",
      ".................................................\n",
      "Reading... mp_cp_output/F180_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "117464\n",
      ".................................................\n",
      "Reading... mp_cp_output/F181_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "117883\n",
      ".................................................\n",
      "Reading... mp_cp_output/F182_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "118260\n",
      ".................................................\n",
      "Reading... mp_cp_output/F183_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "118637\n",
      ".................................................\n",
      "Reading... mp_cp_output/F184_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "118990\n",
      ".................................................\n",
      "Reading... mp_cp_output/F185_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "119428\n",
      ".................................................\n",
      "Reading... mp_cp_output/F186_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "119793\n",
      ".................................................\n",
      "Reading... mp_cp_output/F187_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "120190\n",
      ".................................................\n",
      "Reading... mp_cp_output/F188_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "120578\n",
      ".................................................\n",
      "Reading... mp_cp_output/F189_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "120889\n",
      ".................................................\n",
      "Reading... mp_cp_output/F190_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "121196\n",
      ".................................................\n",
      "Reading... mp_cp_output/F191_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "121503\n",
      ".................................................\n",
      "Reading... mp_cp_output/F192_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "121827\n",
      ".................................................\n",
      "Reading... mp_cp_output/F193_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "122220\n",
      ".................................................\n",
      "Reading... mp_cp_output/F194_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "122498\n",
      ".................................................\n",
      "Reading... mp_cp_output/F195_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "122886\n",
      ".................................................\n",
      "Reading... mp_cp_output/F196_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "123185\n",
      ".................................................\n",
      "Reading... mp_cp_output/F197_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "123548\n",
      ".................................................\n",
      "Reading... mp_cp_output/F198_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "123867\n",
      ".................................................\n",
      "Reading... mp_cp_output/F199_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "124203\n",
      ".................................................\n",
      "Reading... mp_cp_output/F200_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "124693\n",
      ".................................................\n",
      "Reading... mp_cp_output/F201_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "125212\n",
      ".................................................\n",
      "Reading... mp_cp_output/F202_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "125775\n",
      ".................................................\n",
      "Reading... mp_cp_output/F203_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "126280\n",
      ".................................................\n",
      "Reading... mp_cp_output/F204_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "126789\n",
      ".................................................\n",
      "Reading... mp_cp_output/F205_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "127125\n",
      ".................................................\n",
      "Reading... mp_cp_output/F206_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "127604\n",
      ".................................................\n",
      "Reading... mp_cp_output/F207_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "128037\n",
      ".................................................\n",
      "Reading... mp_cp_output/F208_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "128471\n",
      ".................................................\n",
      "Reading... mp_cp_output/F209_max_clean_Soma.tiff\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "128881\n",
      ".................................................\n",
      "Reading... mp_cp_output/F210_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "129257\n",
      ".................................................\n",
      "Reading... mp_cp_output/F211_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "129626\n",
      ".................................................\n",
      "Reading... mp_cp_output/F212_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "130031\n",
      ".................................................\n",
      "Reading... mp_cp_output/F213_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "130353\n",
      ".................................................\n",
      "Reading... mp_cp_output/F214_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "130682\n",
      ".................................................\n",
      "Reading... mp_cp_output/F215_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "130971\n",
      ".................................................\n",
      "Reading... mp_cp_output/F216_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "131215\n",
      ".................................................\n",
      "Reading... mp_cp_output/F217_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "131507\n",
      ".................................................\n",
      "Reading... mp_cp_output/F218_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "131873\n",
      ".................................................\n",
      "Reading... mp_cp_output/F219_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "132263\n",
      ".................................................\n",
      "Reading... mp_cp_output/F220_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "132606\n",
      ".................................................\n",
      "Reading... mp_cp_output/F221_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "132901\n",
      ".................................................\n",
      "Reading... mp_cp_output/F222_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "133138\n",
      ".................................................\n",
      "Reading... mp_cp_output/F223_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "133438\n",
      ".................................................\n",
      "Reading... mp_cp_output/F224_max_clean_Soma.tiff\n",
      "Index(['Barcode_Idx', 'SUM', 'Barcode', 'RAW', 'P', 'LOGIT', 'ENTROPY',\n",
      "       'X_NORM', 'Gene', 'ImageNumber', 'Overlap_0.1', 'Overlap_0.2',\n",
      "       'Overlap_0.3', 'intensity_mean-0', 'intensity_mean-1',\n",
      "       'intensity_mean-2', 'intensity_mean-3', 'intensity_mean-4',\n",
      "       'intensity_mean-5', 'intensity_mean-6'],\n",
      "      dtype='object')\n",
      "133700\n",
      ".................................................\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>Overlap_0.2</th>\n",
       "      <th>Overlap_0.3</th>\n",
       "      <th>intensity_mean-0</th>\n",
       "      <th>intensity_mean-1</th>\n",
       "      <th>intensity_mean-2</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074367</td>\n",
       "      <td>0.014241</td>\n",
       "      <td>0.015248</td>\n",
       "      <td>0.025134</td>\n",
       "      <td>0.012385</td>\n",
       "      <td>0.000820</td>\n",
       "      <td>0.005333</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.105860</td>\n",
       "      <td>0.066163</td>\n",
       "      <td>0.015638</td>\n",
       "      <td>0.025196</td>\n",
       "      <td>0.024860</td>\n",
       "      <td>0.002435</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007752</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000581</td>\n",
       "      <td>0.002030</td>\n",
       "      <td>0.011947</td>\n",
       "      <td>0.011055</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.420833</td>\n",
       "      <td>0.260417</td>\n",
       "      <td>0.013229</td>\n",
       "      <td>0.013549</td>\n",
       "      <td>0.009692</td>\n",
       "      <td>0.039075</td>\n",
       "      <td>0.004378</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.674146</td>\n",
       "      <td>0.332683</td>\n",
       "      <td>0.074397</td>\n",
       "      <td>0.080426</td>\n",
       "      <td>0.088755</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048780</td>\n",
       "      <td>0.028201</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>0.000898</td>\n",
       "      <td>0.008159</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.003234</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.184800</td>\n",
       "      <td>0.092800</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.004210</td>\n",
       "      <td>0.066644</td>\n",
       "      <td>0.071050</td>\n",
       "      <td>0.032583</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.299812</td>\n",
       "      <td>0.243421</td>\n",
       "      <td>0.031186</td>\n",
       "      <td>0.000526</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>0.048998</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000314</td>\n",
       "      <td>0.007132</td>\n",
       "      <td>0.012290</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.796700</td>\n",
       "      <td>0.768977</td>\n",
       "      <td>0.000239</td>\n",
       "      <td>0.157899</td>\n",
       "      <td>0.021261</td>\n",
       "      <td>0.326146</td>\n",
       "      <td>0.141081</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  Overlap_0.2  Overlap_0.3  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...     0.074367     0.014241   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...     0.105860     0.066163   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...     0.007752     0.000000   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...     0.420833     0.260417   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...     0.674146     0.332683   \n",
       "...          ...       ...       ...      ...  ...          ...          ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...     0.048780     0.028201   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...     0.184800     0.092800   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...     0.299812     0.243421   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...     0.000000     0.000000   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...     0.796700     0.768977   \n",
       "\n",
       "        intensity_mean-0  intensity_mean-1  intensity_mean-2  \\\n",
       "0               0.015248          0.025134          0.012385   \n",
       "1               0.015638          0.025196          0.024860   \n",
       "2               0.000581          0.002030          0.011947   \n",
       "3               0.013229          0.013549          0.009692   \n",
       "4               0.074397          0.080426          0.088755   \n",
       "...                  ...               ...               ...   \n",
       "133695          0.000058          0.000898          0.008159   \n",
       "133696          0.000329          0.004210          0.066644   \n",
       "133697          0.031186          0.000526          0.000544   \n",
       "133698          0.000314          0.007132          0.012290   \n",
       "133699          0.000239          0.157899          0.021261   \n",
       "\n",
       "        intensity_mean-3  intensity_mean-4  intensity_mean-5  \\\n",
       "0               0.000820          0.005333          0.000442   \n",
       "1               0.002435          0.000203          0.006315   \n",
       "2               0.011055          0.001660          0.000317   \n",
       "3               0.039075          0.004378          0.062781   \n",
       "4               0.000502          0.002689          0.000070   \n",
       "...                  ...               ...               ...   \n",
       "133695          0.009501          0.003234          0.000016   \n",
       "133696          0.071050          0.032583          0.009312   \n",
       "133697          0.048998          0.000056          0.003363   \n",
       "133698          0.000637          0.005305          0.000244   \n",
       "133699          0.326146          0.141081          0.012467   \n",
       "\n",
       "        intensity_mean-6     Delta  \n",
       "0               0.002411  0.007052  \n",
       "1               0.000928  0.009323  \n",
       "2               0.014562  0.009024  \n",
       "3               0.061092  0.025526  \n",
       "4               0.001225  0.071709  \n",
       "...                  ...       ...  \n",
       "133695          0.000670  0.002336  \n",
       "133696          0.031562  0.001021  \n",
       "133697          0.064340  0.027823  \n",
       "133698          0.010320  0.001827  \n",
       "133699          0.004988  0.119821  \n",
       "\n",
       "[133700 rows x 22 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Assign Gene ID\n",
    "procode_gene_df = pd.read_csv('../metadata/PROCODE_gRNA.csv')\n",
    "procode_to_gene = {}\n",
    "for cell in procode_gene_df.index:\n",
    "    procode = procode_gene_df.loc[cell,'ProCode ID']\n",
    "    if procode not in procode_to_gene.keys():\n",
    "        procode_to_gene[procode] = procode_gene_df.loc[cell,'Gene Target']\n",
    "        \n",
    "        \n",
    "for fov in allFOVs:\n",
    "    print(\"Reading...\", f'{MP_CP_DIR}/F{fov}_{DATA_TYPE}_Soma.tiff')\n",
    "    soma = imread(f'{MP_CP_DIR}/F{fov}_{DATA_TYPE}_Soma.tiff') # mask image\n",
    "    \n",
    "    mpscore = imread(f'{MP_DIR}/F{fov}_mp_score_max.tif').transpose(1,2,0) # 22 barcode channels # YXC\n",
    "    seg = imread(f'{DATA_TYPE}/F{fov}_{DATA_TYPE}.tif') # 25, 2015X2018 \n",
    "    # max_clean, take first 1:8 channels to calculate epitope tag intensity\n",
    "    x_norm = np.linalg.norm(seg[1:8], axis=0, ord=2) # calculate x_norm for overall signal intensity\n",
    "    \n",
    "    # scores_df is the probs_df (Cell By MP Score)\n",
    "    scores = measure.regionprops_table(soma, mpscore, properties = ['label','intensity_mean'])\n",
    "    scores_df = pd.DataFrame(scores)\n",
    "    scores_df = scores_df.set_index('label')\n",
    "    barcode_cols = scores_df.columns.tolist() # intensity_mean-0 is first codebook column\n",
    "    \n",
    "    # create x_norm measurements\n",
    "    x_norm_measure = measure.regionprops_table(soma, x_norm, properties = ['label','intensity_mean'])\n",
    "    x_norm_df = pd.DataFrame(x_norm_measure)\n",
    "    x_norm_df = x_norm_df.set_index('label')\n",
    "    \n",
    "    # assign barcode with max mean score\n",
    "    barcoded = pd.DataFrame(index = scores_df.index) # indexed using cell labels 1,2,3...280\n",
    "    barcode_cols = scores_df.columns.tolist()\n",
    "    max_col = scores_df[barcode_cols].idxmax(axis=1) # find maximum column name intensity_mean-0, etc\n",
    "    barcoded['Barcode_Idx'] = max_col # assign intensity_mean-X \n",
    "    barcoded['SUM'] = scores_df[barcode_cols].sum(axis=1) # sum of all mpscore signal\n",
    "    \n",
    "    for cell in scores_df.index: # index is object number\n",
    "        idx = barcoded.loc[cell,'Barcode_Idx'] # intensity_mean-0\n",
    "        procode = codebook.columns.tolist()[int(idx.split('-')[-1])] # extract barcode name from intensity_mean-0\n",
    "        barcoded.loc[cell, 'Barcode'] = procode\n",
    "        barcoded.loc[cell, 'RAW'] = scores_df.loc[cell, idx]\n",
    "    \n",
    "    ## Calculate P, LOGIT\n",
    "    barcoded['P'] = barcoded['RAW'] / (barcoded['SUM']+1e-15) # normalized score\n",
    "    barcoded['LOGIT'] = np.log((barcoded['P']+1e-15)/(1-barcoded['P'] + 1e-15))\n",
    "    \n",
    "    ## Calculate Entropy ## vectorize?\n",
    "    from scipy.stats import entropy\n",
    "    p=(scores_df.values+1e-15)/(np.reshape(barcoded['SUM'].values, (-1,1))+1e-15)\n",
    "    barcoded['ENTROPY'] = entropy(p, axis=1)\n",
    "    \n",
    "    ## Calculate x_norm dataframe\n",
    "    barcoded['X_NORM'] = x_norm_df['intensity_mean']\n",
    "    \n",
    "    ## assign gene names from barcodes\n",
    "    for cell in barcoded.index:\n",
    "        barcode = barcoded.loc[cell, 'Barcode']\n",
    "        barcoded.loc[cell, 'Gene'] = procode_to_gene[barcode]\n",
    "    \n",
    "    image_num = list(set(mpcp_df[mpcp_df['FileName_max_clean'] == f'F{fov}_max_clean.tif'].ImageNumber.values))[0]\n",
    "    barcoded['ImageNumber'] = image_num\n",
    "    coord_data = seg_df[seg_df.ImageNumber == image_num]\n",
    "    coord_data = coord_data.set_index(\"ObjectNumber\")\n",
    "    \n",
    "    # Add overlap score to barcoded dataframe\n",
    "    S_cutoffs = [0.1, 0.2, 0.3] # user defined cutoff value\n",
    "    for S_cutoff in S_cutoffs:\n",
    "        mpscore_bin = mpscore > S_cutoff\n",
    "        \n",
    "        for label in barcoded.index:\n",
    "            x1,x2,y1,y2 = get_cell_coords(label,coord_data)\n",
    "            prob_ind = int(barcoded.loc[label, \"Barcode_Idx\"].split('-')[1])\n",
    "            soma_bin = soma[y1:y2,x1:x2]==label # create binary soma mask\n",
    "            overlap_score = (mpscore_bin[y1:y2,x1:x2, prob_ind]&soma_bin).sum()/soma_bin.sum()\n",
    "            barcoded.loc[label, f\"Overlap_{S_cutoff}\"] = overlap_score\n",
    "    \n",
    "    # Jaccard Index Score\n",
    "    for label in barcoded.index:\n",
    "        x1,x2,y1,y2 = get_cell_coords(label,coord_data)\n",
    "        soma_bin = soma[y1:y2,x1:x2]==label\n",
    "        prob_ind = int(barcoded.loc[label, \"Barcode_Idx\"].split('-')[1])\n",
    "        thres = threshold_otsu(mpscore[y1:y2,x1:x2, prob_ind])\n",
    "        mpscore_bin = mpscore[y1:y2,x1:x2, prob_ind]>thres\n",
    "        J = (mpscore_bin&soma_bin).sum()/((mpscore_bin|soma_bin).sum()+1e-15) # avoid division by zero\n",
    "        barcoded.loc[label, \"Jaccard\"] = J\n",
    "        \n",
    "    ## Add epitope mean intensity for UMAP\n",
    "    epitopes_image = seg[1:8].transpose(1,2,0) # YXC # max_clean\n",
    "    epitope_measure = measure.regionprops_table(soma, epitopes_image, properties = ['label','intensity_mean'])\n",
    "    epitope_df = pd.DataFrame(epitope_measure)\n",
    "    epi_cols = epitope_df.columns[1:]\n",
    "    barcoded[epi_cols] = epitope_df[epi_cols].values\n",
    "    print(barcoded.columns)\n",
    "    \n",
    "    ## Calculate Delta\n",
    "    for label in barcoded.index:\n",
    "        L = sorted(barcoded.loc[label, epi_cols].values, reverse=True) # sort in descending order\n",
    "        Delta = L[2] - L[3] # 3rd and 4th \n",
    "        barcoded.loc[label, 'Delta'] = Delta\n",
    "    \n",
    "    if image_num == 1: # if first image, set soma_df = barcoded itself\n",
    "        soma_df = barcoded.copy()\n",
    "    else:\n",
    "        soma_df = pd.concat([soma_df, barcoded], axis=0)\n",
    "    print(len(soma_df))\n",
    "    #print(soma_df)\n",
    "    print('.................................................')\n",
    "    \n",
    "soma_df = soma_df.reset_index()\n",
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "5b6fc893",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "OMP: Info #276: omp_set_nested routine deprecated, please use omp_set_max_active_levels instead.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(133700, 2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-0</th>\n",
       "      <th>intensity_mean-1</th>\n",
       "      <th>intensity_mean-2</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015248</td>\n",
       "      <td>0.025134</td>\n",
       "      <td>0.012385</td>\n",
       "      <td>0.000820</td>\n",
       "      <td>0.005333</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015638</td>\n",
       "      <td>0.025196</td>\n",
       "      <td>0.024860</td>\n",
       "      <td>0.002435</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000581</td>\n",
       "      <td>0.002030</td>\n",
       "      <td>0.011947</td>\n",
       "      <td>0.011055</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013229</td>\n",
       "      <td>0.013549</td>\n",
       "      <td>0.009692</td>\n",
       "      <td>0.039075</td>\n",
       "      <td>0.004378</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074397</td>\n",
       "      <td>0.080426</td>\n",
       "      <td>0.088755</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>0.000898</td>\n",
       "      <td>0.008159</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.003234</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.004210</td>\n",
       "      <td>0.066644</td>\n",
       "      <td>0.071050</td>\n",
       "      <td>0.032583</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031186</td>\n",
       "      <td>0.000526</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>0.048998</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000314</td>\n",
       "      <td>0.007132</td>\n",
       "      <td>0.012290</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000239</td>\n",
       "      <td>0.157899</td>\n",
       "      <td>0.021261</td>\n",
       "      <td>0.326146</td>\n",
       "      <td>0.141081</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-0  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.015248   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.015638   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.000581   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.013229   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.074397   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.000058   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.000329   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.031186   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.000314   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.000239   \n",
       "\n",
       "        intensity_mean-1  intensity_mean-2  intensity_mean-3  \\\n",
       "0               0.025134          0.012385          0.000820   \n",
       "1               0.025196          0.024860          0.002435   \n",
       "2               0.002030          0.011947          0.011055   \n",
       "3               0.013549          0.009692          0.039075   \n",
       "4               0.080426          0.088755          0.000502   \n",
       "...                  ...               ...               ...   \n",
       "133695          0.000898          0.008159          0.009501   \n",
       "133696          0.004210          0.066644          0.071050   \n",
       "133697          0.000526          0.000544          0.048998   \n",
       "133698          0.007132          0.012290          0.000637   \n",
       "133699          0.157899          0.021261          0.326146   \n",
       "\n",
       "        intensity_mean-4  intensity_mean-5  intensity_mean-6     Delta  \\\n",
       "0               0.005333          0.000442          0.002411  0.007052   \n",
       "1               0.000203          0.006315          0.000928  0.009323   \n",
       "2               0.001660          0.000317          0.014562  0.009024   \n",
       "3               0.004378          0.062781          0.061092  0.025526   \n",
       "4               0.002689          0.000070          0.001225  0.071709   \n",
       "...                  ...               ...               ...       ...   \n",
       "133695          0.003234          0.000016          0.000670  0.002336   \n",
       "133696          0.032583          0.009312          0.031562  0.001021   \n",
       "133697          0.000056          0.003363          0.064340  0.027823   \n",
       "133698          0.005305          0.000244          0.010320  0.001827   \n",
       "133699          0.141081          0.012467          0.004988  0.119821   \n",
       "\n",
       "        embedding1  embedding2  \n",
       "0         8.919654    8.924275  \n",
       "1        10.795541    8.218206  \n",
       "2        11.490246   10.536827  \n",
       "3        12.307695    3.216018  \n",
       "4         9.866774    1.810647  \n",
       "...            ...         ...  \n",
       "133695   11.176550   12.540327  \n",
       "133696   11.251929    2.987429  \n",
       "133697    9.917559    4.129629  \n",
       "133698   10.905128   11.772167  \n",
       "133699    6.712374   -2.731318  \n",
       "\n",
       "[133700 rows x 24 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Run UMAP on epitope channel intensity\n",
    "# make cell by epitope\n",
    "# run UMAP\n",
    "# run UMAP - generate cell by embedding, then merge to \"barcoded\" dataframe for visualizations\n",
    "reducer = umap.UMAP(low_memory=True)\n",
    "umap_cols = ['intensity_mean-0',\n",
    "       'intensity_mean-1', 'intensity_mean-2', 'intensity_mean-3',\n",
    "       'intensity_mean-4', 'intensity_mean-5', 'intensity_mean-6']\n",
    "umap_df = soma_df[umap_cols]\n",
    "embedding = reducer.fit_transform(umap_df.values)\n",
    "print(embedding.shape)\n",
    "\n",
    "# append embedding to epitope_df and debarcoded_df\n",
    "soma_df[['embedding1','embedding2']] = embedding\n",
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "5054f8fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation_Costes_DNA_FLAG</th>\n",
       "      <th>Correlation_Costes_DNA_HSV</th>\n",
       "      <th>Correlation_Costes_DNA_NWS</th>\n",
       "      <th>Correlation_Costes_DNA_Ollas</th>\n",
       "      <th>Correlation_Costes_DNA_S</th>\n",
       "      <th>Correlation_Costes_DNA_VSVG</th>\n",
       "      <th>Correlation_Manders_DNA_C</th>\n",
       "      <th>Correlation_Manders_DNA_FLAG</th>\n",
       "      <th>Correlation_Manders_DNA_HSV</th>\n",
       "      <th>Correlation_Manders_DNA_NWS</th>\n",
       "      <th>...</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_4of4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.085018</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.075102</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.087477</td>\n",
       "      <td>0.171485</td>\n",
       "      <td>0.334471</td>\n",
       "      <td>0.122425</td>\n",
       "      <td>0.272036</td>\n",
       "      <td>...</td>\n",
       "      <td>0.391393</td>\n",
       "      <td>0.781718</td>\n",
       "      <td>1.212362</td>\n",
       "      <td>1.064993</td>\n",
       "      <td>0.758903</td>\n",
       "      <td>1.124459</td>\n",
       "      <td>0.309291</td>\n",
       "      <td>0.368628</td>\n",
       "      <td>0.819462</td>\n",
       "      <td>1.144822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.115966</td>\n",
       "      <td>0.000469</td>\n",
       "      <td>0.068652</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.079541</td>\n",
       "      <td>0.019932</td>\n",
       "      <td>0.202498</td>\n",
       "      <td>0.152440</td>\n",
       "      <td>0.185783</td>\n",
       "      <td>...</td>\n",
       "      <td>0.605029</td>\n",
       "      <td>0.370029</td>\n",
       "      <td>0.497995</td>\n",
       "      <td>0.401728</td>\n",
       "      <td>0.364964</td>\n",
       "      <td>0.318315</td>\n",
       "      <td>0.627694</td>\n",
       "      <td>0.566441</td>\n",
       "      <td>0.769759</td>\n",
       "      <td>0.943922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.037340</td>\n",
       "      <td>0.032880</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>0.110017</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008361</td>\n",
       "      <td>0.063238</td>\n",
       "      <td>0.819270</td>\n",
       "      <td>0.438006</td>\n",
       "      <td>0.017946</td>\n",
       "      <td>...</td>\n",
       "      <td>0.252914</td>\n",
       "      <td>0.569577</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.324172</td>\n",
       "      <td>2.446358</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.855921</td>\n",
       "      <td>1.268671</td>\n",
       "      <td>1.450964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.082445</td>\n",
       "      <td>0.362626</td>\n",
       "      <td>0.062713</td>\n",
       "      <td>0.636057</td>\n",
       "      <td>0.710705</td>\n",
       "      <td>0.042792</td>\n",
       "      <td>0.451111</td>\n",
       "      <td>0.355579</td>\n",
       "      <td>0.655192</td>\n",
       "      <td>0.459628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631931</td>\n",
       "      <td>0.913233</td>\n",
       "      <td>0.169474</td>\n",
       "      <td>0.356332</td>\n",
       "      <td>0.522433</td>\n",
       "      <td>0.730840</td>\n",
       "      <td>0.242420</td>\n",
       "      <td>0.501220</td>\n",
       "      <td>1.100836</td>\n",
       "      <td>1.040675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.997273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.724348</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.572223</td>\n",
       "      <td>0.153905</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.079922</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.774487</td>\n",
       "      <td>0.511029</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.039550</td>\n",
       "      <td>1.155751</td>\n",
       "      <td>1.047892</td>\n",
       "      <td>0.079289</td>\n",
       "      <td>0.091116</td>\n",
       "      <td>0.104703</td>\n",
       "      <td>0.218402</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>0.076724</td>\n",
       "      <td>0.068375</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.144062</td>\n",
       "      <td>0.155227</td>\n",
       "      <td>0.145809</td>\n",
       "      <td>0.049344</td>\n",
       "      <td>...</td>\n",
       "      <td>0.243910</td>\n",
       "      <td>0.365390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.096991</td>\n",
       "      <td>1.612524</td>\n",
       "      <td>0.836004</td>\n",
       "      <td>0.597099</td>\n",
       "      <td>0.537393</td>\n",
       "      <td>0.890798</td>\n",
       "      <td>0.737002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>0.639251</td>\n",
       "      <td>0.549868</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.288677</td>\n",
       "      <td>0.015526</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.860319</td>\n",
       "      <td>0.745658</td>\n",
       "      <td>0.738834</td>\n",
       "      <td>0.097895</td>\n",
       "      <td>...</td>\n",
       "      <td>1.094172</td>\n",
       "      <td>1.108408</td>\n",
       "      <td>0.603334</td>\n",
       "      <td>0.314654</td>\n",
       "      <td>0.680284</td>\n",
       "      <td>1.457429</td>\n",
       "      <td>0.200216</td>\n",
       "      <td>0.107832</td>\n",
       "      <td>0.389603</td>\n",
       "      <td>0.697496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.313560</td>\n",
       "      <td>0.318448</td>\n",
       "      <td>0.365861</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035162</td>\n",
       "      <td>0.125556</td>\n",
       "      <td>0.373743</td>\n",
       "      <td>0.373755</td>\n",
       "      <td>...</td>\n",
       "      <td>1.190447</td>\n",
       "      <td>1.224097</td>\n",
       "      <td>0.980566</td>\n",
       "      <td>1.063520</td>\n",
       "      <td>1.301983</td>\n",
       "      <td>1.526587</td>\n",
       "      <td>2.645751</td>\n",
       "      <td>1.242633</td>\n",
       "      <td>1.452134</td>\n",
       "      <td>0.919034</td>\n",
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       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>0.028596</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016327</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.965959</td>\n",
       "      <td>0.801416</td>\n",
       "      <td>0.104556</td>\n",
       "      <td>0.103668</td>\n",
       "      <td>...</td>\n",
       "      <td>0.263019</td>\n",
       "      <td>0.577645</td>\n",
       "      <td>0.919920</td>\n",
       "      <td>0.704140</td>\n",
       "      <td>0.612588</td>\n",
       "      <td>1.229488</td>\n",
       "      <td>0.120038</td>\n",
       "      <td>0.191206</td>\n",
       "      <td>0.338359</td>\n",
       "      <td>0.523559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>0.126841</td>\n",
       "      <td>0.939753</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015340</td>\n",
       "      <td>0.101980</td>\n",
       "      <td>0.940339</td>\n",
       "      <td>0.931910</td>\n",
       "      <td>0.184809</td>\n",
       "      <td>0.946609</td>\n",
       "      <td>0.086549</td>\n",
       "      <td>...</td>\n",
       "      <td>0.928728</td>\n",
       "      <td>0.557939</td>\n",
       "      <td>1.446617</td>\n",
       "      <td>1.325720</td>\n",
       "      <td>1.080990</td>\n",
       "      <td>1.125394</td>\n",
       "      <td>0.122647</td>\n",
       "      <td>0.252892</td>\n",
       "      <td>0.273385</td>\n",
       "      <td>0.544454</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 159 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Correlation_Costes_DNA_FLAG  Correlation_Costes_DNA_HSV  \\\n",
       "0                          0.085018                    0.000000   \n",
       "1                          0.115966                    0.000469   \n",
       "2                          0.037340                    0.032880   \n",
       "3                          0.082445                    0.362626   \n",
       "4                          0.997273                    0.000000   \n",
       "...                             ...                         ...   \n",
       "133695                     0.076724                    0.068375   \n",
       "133696                     0.639251                    0.549868   \n",
       "133697                     0.000000                    0.313560   \n",
       "133698                     0.028596                    0.000000   \n",
       "133699                     0.126841                    0.939753   \n",
       "\n",
       "        Correlation_Costes_DNA_NWS  Correlation_Costes_DNA_Ollas  \\\n",
       "0                         0.075102                      0.000000   \n",
       "1                         0.068652                      0.000000   \n",
       "2                         0.001189                      0.110017   \n",
       "3                         0.062713                      0.636057   \n",
       "4                         0.724348                      0.000000   \n",
       "...                            ...                           ...   \n",
       "133695                    0.000000                      0.000000   \n",
       "133696                    0.000000                      0.288677   \n",
       "133697                    0.318448                      0.365861   \n",
       "133698                    0.000000                      0.016327   \n",
       "133699                    0.000000                      0.015340   \n",
       "\n",
       "        Correlation_Costes_DNA_S  Correlation_Costes_DNA_VSVG  \\\n",
       "0                       0.000000                     0.087477   \n",
       "1                       0.000000                     0.079541   \n",
       "2                       0.000000                     0.008361   \n",
       "3                       0.710705                     0.042792   \n",
       "4                       0.000000                     0.572223   \n",
       "...                          ...                          ...   \n",
       "133695                  0.000000                     0.000000   \n",
       "133696                  0.015526                     0.000000   \n",
       "133697                  0.000000                     0.000000   \n",
       "133698                  0.000000                     0.000000   \n",
       "133699                  0.101980                     0.940339   \n",
       "\n",
       "        Correlation_Manders_DNA_C  Correlation_Manders_DNA_FLAG  \\\n",
       "0                        0.171485                      0.334471   \n",
       "1                        0.019932                      0.202498   \n",
       "2                        0.063238                      0.819270   \n",
       "3                        0.451111                      0.355579   \n",
       "4                        0.153905                      1.000000   \n",
       "...                           ...                           ...   \n",
       "133695                   0.144062                      0.155227   \n",
       "133696                   0.860319                      0.745658   \n",
       "133697                   0.035162                      0.125556   \n",
       "133698                   0.965959                      0.801416   \n",
       "133699                   0.931910                      0.184809   \n",
       "\n",
       "        Correlation_Manders_DNA_HSV  Correlation_Manders_DNA_NWS  ...  \\\n",
       "0                          0.122425                     0.272036  ...   \n",
       "1                          0.152440                     0.185783  ...   \n",
       "2                          0.438006                     0.017946  ...   \n",
       "3                          0.655192                     0.459628  ...   \n",
       "4                          0.079922                     1.000000  ...   \n",
       "...                             ...                          ...  ...   \n",
       "133695                     0.145809                     0.049344  ...   \n",
       "133696                     0.738834                     0.097895  ...   \n",
       "133697                     0.373743                     0.373755  ...   \n",
       "133698                     0.104556                     0.103668  ...   \n",
       "133699                     0.946609                     0.086549  ...   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_3of4  \\\n",
       "0                                     0.391393   \n",
       "1                                     0.605029   \n",
       "2                                     0.252914   \n",
       "3                                     0.631931   \n",
       "4                                     0.774487   \n",
       "...                                        ...   \n",
       "133695                                0.243910   \n",
       "133696                                1.094172   \n",
       "133697                                1.190447   \n",
       "133698                                0.263019   \n",
       "133699                                0.928728   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_4of4  \\\n",
       "0                                     0.781718   \n",
       "1                                     0.370029   \n",
       "2                                     0.569577   \n",
       "3                                     0.913233   \n",
       "4                                     0.511029   \n",
       "...                                        ...   \n",
       "133695                                0.365390   \n",
       "133696                                1.108408   \n",
       "133697                                1.224097   \n",
       "133698                                0.577645   \n",
       "133699                                0.557939   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_1of4  \\\n",
       "0                                 1.212362   \n",
       "1                                 0.497995   \n",
       "2                                 0.000000   \n",
       "3                                 0.169474   \n",
       "4                                 0.000000   \n",
       "...                                    ...   \n",
       "133695                            0.000000   \n",
       "133696                            0.603334   \n",
       "133697                            0.980566   \n",
       "133698                            0.919920   \n",
       "133699                            1.446617   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_2of4  \\\n",
       "0                                 1.064993   \n",
       "1                                 0.401728   \n",
       "2                                 0.000000   \n",
       "3                                 0.356332   \n",
       "4                                 2.039550   \n",
       "...                                    ...   \n",
       "133695                            1.096991   \n",
       "133696                            0.314654   \n",
       "133697                            1.063520   \n",
       "133698                            0.704140   \n",
       "133699                            1.325720   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_3of4  \\\n",
       "0                                 0.758903   \n",
       "1                                 0.364964   \n",
       "2                                 2.324172   \n",
       "3                                 0.522433   \n",
       "4                                 1.155751   \n",
       "...                                    ...   \n",
       "133695                            1.612524   \n",
       "133696                            0.680284   \n",
       "133697                            1.301983   \n",
       "133698                            0.612588   \n",
       "133699                            1.080990   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_4of4  \\\n",
       "0                                 1.124459   \n",
       "1                                 0.318315   \n",
       "2                                 2.446358   \n",
       "3                                 0.730840   \n",
       "4                                 1.047892   \n",
       "...                                    ...   \n",
       "133695                            0.836004   \n",
       "133696                            1.457429   \n",
       "133697                            1.526587   \n",
       "133698                            1.229488   \n",
       "133699                            1.125394   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_1of4  \\\n",
       "0                                    0.309291   \n",
       "1                                    0.627694   \n",
       "2                                    0.000000   \n",
       "3                                    0.242420   \n",
       "4                                    0.079289   \n",
       "...                                       ...   \n",
       "133695                               0.597099   \n",
       "133696                               0.200216   \n",
       "133697                               2.645751   \n",
       "133698                               0.120038   \n",
       "133699                               0.122647   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_2of4  \\\n",
       "0                                    0.368628   \n",
       "1                                    0.566441   \n",
       "2                                    1.855921   \n",
       "3                                    0.501220   \n",
       "4                                    0.091116   \n",
       "...                                       ...   \n",
       "133695                               0.537393   \n",
       "133696                               0.107832   \n",
       "133697                               1.242633   \n",
       "133698                               0.191206   \n",
       "133699                               0.252892   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_3of4  \\\n",
       "0                                    0.819462   \n",
       "1                                    0.769759   \n",
       "2                                    1.268671   \n",
       "3                                    1.100836   \n",
       "4                                    0.104703   \n",
       "...                                       ...   \n",
       "133695                               0.890798   \n",
       "133696                               0.389603   \n",
       "133697                               1.452134   \n",
       "133698                               0.338359   \n",
       "133699                               0.273385   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_4of4  \n",
       "0                                    1.144822  \n",
       "1                                    0.943922  \n",
       "2                                    1.450964  \n",
       "3                                    1.040675  \n",
       "4                                    0.218402  \n",
       "...                                       ...  \n",
       "133695                               0.737002  \n",
       "133696                               0.697496  \n",
       "133697                               0.919034  \n",
       "133698                               0.523559  \n",
       "133699                               0.544454  \n",
       "\n",
       "[133700 rows x 159 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp_umap_df = mp_umap_df[mp_umap_df.columns[~mp_umap_df.columns.isin(nan_cols)]]\n",
    "mp_umap_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60c5414e",
   "metadata": {},
   "source": [
    "## Check UMAP of MPCP metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "f4902211",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation_Costes_DNA_FLAG</th>\n",
       "      <th>Correlation_Costes_DNA_HSV</th>\n",
       "      <th>Correlation_Costes_DNA_NWS</th>\n",
       "      <th>Correlation_Costes_DNA_Ollas</th>\n",
       "      <th>Correlation_Costes_DNA_S</th>\n",
       "      <th>Correlation_Costes_DNA_VSVG</th>\n",
       "      <th>Correlation_Manders_DNA_C</th>\n",
       "      <th>Correlation_Manders_DNA_FLAG</th>\n",
       "      <th>Correlation_Manders_DNA_HSV</th>\n",
       "      <th>Correlation_Manders_DNA_NWS</th>\n",
       "      <th>...</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_4of4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.505609</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>28.382479</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>8.076883</td>\n",
       "      <td>-0.573365</td>\n",
       "      <td>-0.155462</td>\n",
       "      <td>-0.678600</td>\n",
       "      <td>-0.023468</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.268480</td>\n",
       "      <td>-0.763080</td>\n",
       "      <td>1.212362e+10</td>\n",
       "      <td>1.331988</td>\n",
       "      <td>-0.261527</td>\n",
       "      <td>-0.045509</td>\n",
       "      <td>1.412945</td>\n",
       "      <td>-0.291679</td>\n",
       "      <td>-0.196414</td>\n",
       "      <td>0.069772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.237772</td>\n",
       "      <td>-0.979550</td>\n",
       "      <td>25.859228</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>7.253413</td>\n",
       "      <td>-1.085879</td>\n",
       "      <td>-0.580308</td>\n",
       "      <td>-0.556663</td>\n",
       "      <td>-0.387750</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.744599</td>\n",
       "      <td>-1.857299</td>\n",
       "      <td>4.979949e+09</td>\n",
       "      <td>-0.120347</td>\n",
       "      <td>-0.832135</td>\n",
       "      <td>-1.558380</td>\n",
       "      <td>3.896984</td>\n",
       "      <td>0.088419</td>\n",
       "      <td>-0.278173</td>\n",
       "      <td>-0.356331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.296499</td>\n",
       "      <td>0.434942</td>\n",
       "      <td>-0.534999</td>\n",
       "      <td>18.416344</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.132391</td>\n",
       "      <td>-0.939429</td>\n",
       "      <td>1.405197</td>\n",
       "      <td>0.603463</td>\n",
       "      <td>-1.096591</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.608061</td>\n",
       "      <td>-1.326926</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>2.005713</td>\n",
       "      <td>2.435270</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>2.566163</td>\n",
       "      <td>0.542519</td>\n",
       "      <td>0.719088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.278458</td>\n",
       "      <td>14.825632</td>\n",
       "      <td>23.535446</td>\n",
       "      <td>111.254588</td>\n",
       "      <td>730.401637</td>\n",
       "      <td>3.440272</td>\n",
       "      <td>0.372258</td>\n",
       "      <td>-0.087510</td>\n",
       "      <td>1.485794</td>\n",
       "      <td>0.768812</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.678630</td>\n",
       "      <td>-0.413531</td>\n",
       "      <td>1.694745e+09</td>\n",
       "      <td>-0.219749</td>\n",
       "      <td>-0.604046</td>\n",
       "      <td>-0.784204</td>\n",
       "      <td>0.891248</td>\n",
       "      <td>-0.036903</td>\n",
       "      <td>0.266437</td>\n",
       "      <td>-0.151121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>87.041654</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>282.391250</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>58.375487</td>\n",
       "      <td>-0.632817</td>\n",
       "      <td>1.987000</td>\n",
       "      <td>-0.851269</td>\n",
       "      <td>3.051027</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.329054</td>\n",
       "      <td>-1.482540</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>3.465949</td>\n",
       "      <td>0.313294</td>\n",
       "      <td>-0.189201</td>\n",
       "      <td>-0.381426</td>\n",
       "      <td>-0.824921</td>\n",
       "      <td>-1.372167</td>\n",
       "      <td>-1.895132</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>5.773384</td>\n",
       "      <td>1.984009</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.666103</td>\n",
       "      <td>-0.732481</td>\n",
       "      <td>-0.583599</td>\n",
       "      <td>-0.963985</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.630139</td>\n",
       "      <td>-1.869628</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.402053</td>\n",
       "      <td>0.974915</td>\n",
       "      <td>-0.586846</td>\n",
       "      <td>3.658295</td>\n",
       "      <td>0.032604</td>\n",
       "      <td>-0.079068</td>\n",
       "      <td>-0.795200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>55.434567</td>\n",
       "      <td>22.997196</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>49.947269</td>\n",
       "      <td>14.978401</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.756093</td>\n",
       "      <td>1.168227</td>\n",
       "      <td>1.825595</td>\n",
       "      <td>-0.758934</td>\n",
       "      <td>...</td>\n",
       "      <td>0.454882</td>\n",
       "      <td>0.105222</td>\n",
       "      <td>6.033337e+09</td>\n",
       "      <td>-0.311010</td>\n",
       "      <td>-0.375404</td>\n",
       "      <td>0.579369</td>\n",
       "      <td>0.561993</td>\n",
       "      <td>-0.792800</td>\n",
       "      <td>-0.903516</td>\n",
       "      <td>-0.878991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>-1.000000</td>\n",
       "      <td>12.684318</td>\n",
       "      <td>123.588402</td>\n",
       "      <td>63.569011</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.034378</td>\n",
       "      <td>-0.827997</td>\n",
       "      <td>0.342394</td>\n",
       "      <td>0.406134</td>\n",
       "      <td>...</td>\n",
       "      <td>0.690969</td>\n",
       "      <td>0.412707</td>\n",
       "      <td>9.805663e+09</td>\n",
       "      <td>1.328761</td>\n",
       "      <td>0.525107</td>\n",
       "      <td>0.709156</td>\n",
       "      <td>19.640950</td>\n",
       "      <td>1.387727</td>\n",
       "      <td>0.844310</td>\n",
       "      <td>-0.409117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>1.524518</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.881549</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>2.113342</td>\n",
       "      <td>1.347721</td>\n",
       "      <td>-0.751193</td>\n",
       "      <td>-0.734554</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.583280</td>\n",
       "      <td>-1.305480</td>\n",
       "      <td>9.199203e+09</td>\n",
       "      <td>0.541838</td>\n",
       "      <td>-0.473460</td>\n",
       "      <td>0.151597</td>\n",
       "      <td>-0.063520</td>\n",
       "      <td>-0.632597</td>\n",
       "      <td>-0.987811</td>\n",
       "      <td>-1.247906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>10.197810</td>\n",
       "      <td>40.012420</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.707350</td>\n",
       "      <td>103.950081</td>\n",
       "      <td>96.572329</td>\n",
       "      <td>1.998197</td>\n",
       "      <td>-0.637250</td>\n",
       "      <td>2.669693</td>\n",
       "      <td>-0.806855</td>\n",
       "      <td>...</td>\n",
       "      <td>0.049178</td>\n",
       "      <td>-1.357858</td>\n",
       "      <td>1.446617e+10</td>\n",
       "      <td>1.902895</td>\n",
       "      <td>0.205005</td>\n",
       "      <td>-0.043753</td>\n",
       "      <td>-0.043161</td>\n",
       "      <td>-0.514066</td>\n",
       "      <td>-1.094690</td>\n",
       "      <td>-1.203588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 159 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Correlation_Costes_DNA_FLAG  Correlation_Costes_DNA_HSV  \\\n",
       "0                          6.505609                   -1.000000   \n",
       "1                          9.237772                   -0.979550   \n",
       "2                          2.296499                    0.434942   \n",
       "3                          6.278458                   14.825632   \n",
       "4                         87.041654                   -1.000000   \n",
       "...                             ...                         ...   \n",
       "133695                     5.773384                    1.984009   \n",
       "133696                    55.434567                   22.997196   \n",
       "133697                    -1.000000                   12.684318   \n",
       "133698                     1.524518                   -1.000000   \n",
       "133699                    10.197810                   40.012420   \n",
       "\n",
       "        Correlation_Costes_DNA_NWS  Correlation_Costes_DNA_Ollas  \\\n",
       "0                        28.382479                     -1.000000   \n",
       "1                        25.859228                     -1.000000   \n",
       "2                        -0.534999                     18.416344   \n",
       "3                        23.535446                    111.254588   \n",
       "4                       282.391250                     -1.000000   \n",
       "...                            ...                           ...   \n",
       "133695                   -1.000000                     -1.000000   \n",
       "133696                   -1.000000                     49.947269   \n",
       "133697                  123.588402                     63.569011   \n",
       "133698                   -1.000000                      1.881549   \n",
       "133699                   -1.000000                      1.707350   \n",
       "\n",
       "        Correlation_Costes_DNA_S  Correlation_Costes_DNA_VSVG  \\\n",
       "0                      -1.000000                     8.076883   \n",
       "1                      -1.000000                     7.253413   \n",
       "2                      -1.000000                    -0.132391   \n",
       "3                     730.401637                     3.440272   \n",
       "4                      -1.000000                    58.375487   \n",
       "...                          ...                          ...   \n",
       "133695                 -1.000000                    -1.000000   \n",
       "133696                 14.978401                    -1.000000   \n",
       "133697                 -1.000000                    -1.000000   \n",
       "133698                 -1.000000                    -1.000000   \n",
       "133699                103.950081                    96.572329   \n",
       "\n",
       "        Correlation_Manders_DNA_C  Correlation_Manders_DNA_FLAG  \\\n",
       "0                       -0.573365                     -0.155462   \n",
       "1                       -1.085879                     -0.580308   \n",
       "2                       -0.939429                      1.405197   \n",
       "3                        0.372258                     -0.087510   \n",
       "4                       -0.632817                      1.987000   \n",
       "...                           ...                           ...   \n",
       "133695                  -0.666103                     -0.732481   \n",
       "133696                   1.756093                      1.168227   \n",
       "133697                  -1.034378                     -0.827997   \n",
       "133698                   2.113342                      1.347721   \n",
       "133699                   1.998197                     -0.637250   \n",
       "\n",
       "        Correlation_Manders_DNA_HSV  Correlation_Manders_DNA_NWS  ...  \\\n",
       "0                         -0.678600                    -0.023468  ...   \n",
       "1                         -0.556663                    -0.387750  ...   \n",
       "2                          0.603463                    -1.096591  ...   \n",
       "3                          1.485794                     0.768812  ...   \n",
       "4                         -0.851269                     3.051027  ...   \n",
       "...                             ...                          ...  ...   \n",
       "133695                    -0.583599                    -0.963985  ...   \n",
       "133696                     1.825595                    -0.758934  ...   \n",
       "133697                     0.342394                     0.406134  ...   \n",
       "133698                    -0.751193                    -0.734554  ...   \n",
       "133699                     2.669693                    -0.806855  ...   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_3of4  \\\n",
       "0                                    -1.268480   \n",
       "1                                    -0.744599   \n",
       "2                                    -1.608061   \n",
       "3                                    -0.678630   \n",
       "4                                    -0.329054   \n",
       "...                                        ...   \n",
       "133695                               -1.630139   \n",
       "133696                                0.454882   \n",
       "133697                                0.690969   \n",
       "133698                               -1.583280   \n",
       "133699                                0.049178   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_4of4  \\\n",
       "0                                    -0.763080   \n",
       "1                                    -1.857299   \n",
       "2                                    -1.326926   \n",
       "3                                    -0.413531   \n",
       "4                                    -1.482540   \n",
       "...                                        ...   \n",
       "133695                               -1.869628   \n",
       "133696                                0.105222   \n",
       "133697                                0.412707   \n",
       "133698                               -1.305480   \n",
       "133699                               -1.357858   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_1of4  \\\n",
       "0                             1.212362e+10   \n",
       "1                             4.979949e+09   \n",
       "2                             0.000000e+00   \n",
       "3                             1.694745e+09   \n",
       "4                             0.000000e+00   \n",
       "...                                    ...   \n",
       "133695                        0.000000e+00   \n",
       "133696                        6.033337e+09   \n",
       "133697                        9.805663e+09   \n",
       "133698                        9.199203e+09   \n",
       "133699                        1.446617e+10   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_2of4  \\\n",
       "0                                 1.331988   \n",
       "1                                -0.120347   \n",
       "2                                -1.000000   \n",
       "3                                -0.219749   \n",
       "4                                 3.465949   \n",
       "...                                    ...   \n",
       "133695                            1.402053   \n",
       "133696                           -0.311010   \n",
       "133697                            1.328761   \n",
       "133698                            0.541838   \n",
       "133699                            1.902895   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_3of4  \\\n",
       "0                                -0.261527   \n",
       "1                                -0.832135   \n",
       "2                                 2.005713   \n",
       "3                                -0.604046   \n",
       "4                                 0.313294   \n",
       "...                                    ...   \n",
       "133695                            0.974915   \n",
       "133696                           -0.375404   \n",
       "133697                            0.525107   \n",
       "133698                           -0.473460   \n",
       "133699                            0.205005   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_4of4  \\\n",
       "0                                -0.045509   \n",
       "1                                -1.558380   \n",
       "2                                 2.435270   \n",
       "3                                -0.784204   \n",
       "4                                -0.189201   \n",
       "...                                    ...   \n",
       "133695                           -0.586846   \n",
       "133696                            0.579369   \n",
       "133697                            0.709156   \n",
       "133698                            0.151597   \n",
       "133699                           -0.043753   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_1of4  \\\n",
       "0                                    1.412945   \n",
       "1                                    3.896984   \n",
       "2                                   -1.000000   \n",
       "3                                    0.891248   \n",
       "4                                   -0.381426   \n",
       "...                                       ...   \n",
       "133695                               3.658295   \n",
       "133696                               0.561993   \n",
       "133697                              19.640950   \n",
       "133698                              -0.063520   \n",
       "133699                              -0.043161   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_2of4  \\\n",
       "0                                   -0.291679   \n",
       "1                                    0.088419   \n",
       "2                                    2.566163   \n",
       "3                                   -0.036903   \n",
       "4                                   -0.824921   \n",
       "...                                       ...   \n",
       "133695                               0.032604   \n",
       "133696                              -0.792800   \n",
       "133697                               1.387727   \n",
       "133698                              -0.632597   \n",
       "133699                              -0.514066   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_3of4  \\\n",
       "0                                   -0.196414   \n",
       "1                                   -0.278173   \n",
       "2                                    0.542519   \n",
       "3                                    0.266437   \n",
       "4                                   -1.372167   \n",
       "...                                       ...   \n",
       "133695                              -0.079068   \n",
       "133696                              -0.903516   \n",
       "133697                               0.844310   \n",
       "133698                              -0.987811   \n",
       "133699                              -1.094690   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_4of4  \n",
       "0                                    0.069772  \n",
       "1                                   -0.356331  \n",
       "2                                    0.719088  \n",
       "3                                   -0.151121  \n",
       "4                                   -1.895132  \n",
       "...                                       ...  \n",
       "133695                              -0.795200  \n",
       "133696                              -0.878991  \n",
       "133697                              -0.409117  \n",
       "133698                              -1.247906  \n",
       "133699                              -1.203588  \n",
       "\n",
       "[133700 rows x 159 columns]"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp_umap_df = mpcp_df[L]\n",
    "nan_cols = [i for i in mp_umap_df.columns if mp_umap_df[i].isnull().any()]\n",
    "mp_umap_df = mp_umap_df[mp_umap_df.columns[~mp_umap_df.columns.isin(nan_cols)]]\n",
    "\n",
    "eps=1e-10\n",
    "\n",
    "MAD = stats.median_abs_deviation(mp_umap_df, nan_policy='omit')\n",
    "scaled_mp_df = mp_umap_df - np.median(mp_umap_df, axis=0)\n",
    "scaled_mp_df = np.divide(scaled_mp_df, MAD+eps)\n",
    "scaled_mp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "2d06e2ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.13272872e-02, 2.29138558e-02, 2.55599946e-03, 5.66619855e-03,\n",
       "       9.71702509e-04, 9.63735415e-03, 3.41032561e-01, 3.82763124e-01,\n",
       "       2.89462650e-01, 2.77592147e-01, 2.67108848e-01, 3.79347249e-01,\n",
       "       3.75918606e-01, 2.85785085e-01, 2.20086035e-01, 1.77492308e-01,\n",
       "       2.09950384e-01, 1.55006072e-01, 3.17116134e-01, 2.66721489e-01,\n",
       "       1.22043956e+00, 1.12176303e+00, 1.99102182e+00, 7.61348340e-01,\n",
       "       7.86855793e-01, 7.71098658e-01, 1.19076065e+00, 5.83105440e+00,\n",
       "       6.12897796e+00, 9.98339718e+00, 3.50064432e+00, 4.42420067e+00,\n",
       "       3.67814363e+00, 6.53810468e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       8.99511985e-02, 8.26121196e-02, 1.53172866e-01, 6.67460114e-02,\n",
       "       7.44590834e-02, 5.99509105e-02, 8.26543942e-02, 1.03435006e-01,\n",
       "       9.66845453e-02, 1.81012660e-01, 7.96801001e-02, 8.98437500e-02,\n",
       "       6.90199360e-02, 9.60936509e-02, 1.27546391e-02, 1.18001224e-02,\n",
       "       2.08051733e-02, 7.94697982e-03, 8.26322483e-03, 8.07407716e-03,\n",
       "       1.23996873e-02, 8.54375084e-03, 8.95613277e-03, 1.45336780e-02,\n",
       "       5.09697366e-03, 6.26790769e-03, 5.30418463e-03, 9.41360637e-03,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 2.08025672e-02, 1.89552627e-02, 3.41159498e-02,\n",
       "       1.46271633e-02, 1.56819205e-02, 1.37821191e-02, 1.88094130e-02,\n",
       "       1.68590405e-02, 1.58098394e-02, 2.82277656e-02, 1.16168292e-02,\n",
       "       1.27969505e-02, 1.08707730e-02, 1.53456732e-02, 4.79143980e-03,\n",
       "       8.14111251e-03, 1.09814741e-02, 1.46914786e-03, 4.75435797e-03,\n",
       "       2.35977478e-03, 8.47457629e-03, 9.96600648e+02, 0.00000000e+00,\n",
       "       9.97000000e+02, 9.96000000e+02, 9.97000000e+02, 9.60000000e+02,\n",
       "       9.60000000e+02, 9.60000000e+02, 9.59000000e+02, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 3.04000000e+02, 0.00000000e+00,\n",
       "       4.84532094e-01, 9.85490365e-01, 1.14940482e+00, 2.62075452e-01,\n",
       "       5.70083027e-01, 8.83842988e-01, 1.08783200e+00, 2.53352070e-01,\n",
       "       7.46352954e-01, 1.01682056e+00, 1.12766831e+00, 1.80002187e-01,\n",
       "       6.81695784e-01, 1.00942600e+00, 1.17558870e+00, 5.98755196e-01,\n",
       "       7.38179242e-01, 9.08673267e-01, 1.06881972e+00, 0.00000000e+00,\n",
       "       4.56689009e-01, 9.39457546e-01, 1.14870838e+00, 1.28179728e-01,\n",
       "       5.20425315e-01, 9.38864663e-01, 1.11192615e+00])"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.median(mp_umap_df, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "839a2788",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation_Costes_DNA_FLAG</th>\n",
       "      <th>Correlation_Costes_DNA_HSV</th>\n",
       "      <th>Correlation_Costes_DNA_NWS</th>\n",
       "      <th>Correlation_Costes_DNA_Ollas</th>\n",
       "      <th>Correlation_Costes_DNA_S</th>\n",
       "      <th>Correlation_Costes_DNA_VSVG</th>\n",
       "      <th>Correlation_Manders_DNA_C</th>\n",
       "      <th>Correlation_Manders_DNA_FLAG</th>\n",
       "      <th>Correlation_Manders_DNA_HSV</th>\n",
       "      <th>Correlation_Manders_DNA_NWS</th>\n",
       "      <th>...</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_4of4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.085018</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.075102</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.087477</td>\n",
       "      <td>0.171485</td>\n",
       "      <td>0.334471</td>\n",
       "      <td>0.122425</td>\n",
       "      <td>0.272036</td>\n",
       "      <td>...</td>\n",
       "      <td>0.391393</td>\n",
       "      <td>0.781718</td>\n",
       "      <td>1.212362</td>\n",
       "      <td>1.064993</td>\n",
       "      <td>0.758903</td>\n",
       "      <td>1.124459</td>\n",
       "      <td>0.309291</td>\n",
       "      <td>0.368628</td>\n",
       "      <td>0.819462</td>\n",
       "      <td>1.144822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.115966</td>\n",
       "      <td>0.000469</td>\n",
       "      <td>0.068652</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.079541</td>\n",
       "      <td>0.019932</td>\n",
       "      <td>0.202498</td>\n",
       "      <td>0.152440</td>\n",
       "      <td>0.185783</td>\n",
       "      <td>...</td>\n",
       "      <td>0.605029</td>\n",
       "      <td>0.370029</td>\n",
       "      <td>0.497995</td>\n",
       "      <td>0.401728</td>\n",
       "      <td>0.364964</td>\n",
       "      <td>0.318315</td>\n",
       "      <td>0.627694</td>\n",
       "      <td>0.566441</td>\n",
       "      <td>0.769759</td>\n",
       "      <td>0.943922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.037340</td>\n",
       "      <td>0.032880</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>0.110017</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008361</td>\n",
       "      <td>0.063238</td>\n",
       "      <td>0.819270</td>\n",
       "      <td>0.438006</td>\n",
       "      <td>0.017946</td>\n",
       "      <td>...</td>\n",
       "      <td>0.252914</td>\n",
       "      <td>0.569577</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.324172</td>\n",
       "      <td>2.446358</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.855921</td>\n",
       "      <td>1.268671</td>\n",
       "      <td>1.450964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.082445</td>\n",
       "      <td>0.362626</td>\n",
       "      <td>0.062713</td>\n",
       "      <td>0.636057</td>\n",
       "      <td>0.710705</td>\n",
       "      <td>0.042792</td>\n",
       "      <td>0.451111</td>\n",
       "      <td>0.355579</td>\n",
       "      <td>0.655192</td>\n",
       "      <td>0.459628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631931</td>\n",
       "      <td>0.913233</td>\n",
       "      <td>0.169474</td>\n",
       "      <td>0.356332</td>\n",
       "      <td>0.522433</td>\n",
       "      <td>0.730840</td>\n",
       "      <td>0.242420</td>\n",
       "      <td>0.501220</td>\n",
       "      <td>1.100836</td>\n",
       "      <td>1.040675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.997273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.724348</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.572223</td>\n",
       "      <td>0.153905</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.079922</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.774487</td>\n",
       "      <td>0.511029</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.039550</td>\n",
       "      <td>1.155751</td>\n",
       "      <td>1.047892</td>\n",
       "      <td>0.079289</td>\n",
       "      <td>0.091116</td>\n",
       "      <td>0.104703</td>\n",
       "      <td>0.218402</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>0.076724</td>\n",
       "      <td>0.068375</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.144062</td>\n",
       "      <td>0.155227</td>\n",
       "      <td>0.145809</td>\n",
       "      <td>0.049344</td>\n",
       "      <td>...</td>\n",
       "      <td>0.243910</td>\n",
       "      <td>0.365390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.096991</td>\n",
       "      <td>1.612524</td>\n",
       "      <td>0.836004</td>\n",
       "      <td>0.597099</td>\n",
       "      <td>0.537393</td>\n",
       "      <td>0.890798</td>\n",
       "      <td>0.737002</td>\n",
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       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>0.639251</td>\n",
       "      <td>0.549868</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.288677</td>\n",
       "      <td>0.015526</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.860319</td>\n",
       "      <td>0.745658</td>\n",
       "      <td>0.738834</td>\n",
       "      <td>0.097895</td>\n",
       "      <td>...</td>\n",
       "      <td>1.094172</td>\n",
       "      <td>1.108408</td>\n",
       "      <td>0.603334</td>\n",
       "      <td>0.314654</td>\n",
       "      <td>0.680284</td>\n",
       "      <td>1.457429</td>\n",
       "      <td>0.200216</td>\n",
       "      <td>0.107832</td>\n",
       "      <td>0.389603</td>\n",
       "      <td>0.697496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.313560</td>\n",
       "      <td>0.318448</td>\n",
       "      <td>0.365861</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035162</td>\n",
       "      <td>0.125556</td>\n",
       "      <td>0.373743</td>\n",
       "      <td>0.373755</td>\n",
       "      <td>...</td>\n",
       "      <td>1.190447</td>\n",
       "      <td>1.224097</td>\n",
       "      <td>0.980566</td>\n",
       "      <td>1.063520</td>\n",
       "      <td>1.301983</td>\n",
       "      <td>1.526587</td>\n",
       "      <td>2.645751</td>\n",
       "      <td>1.242633</td>\n",
       "      <td>1.452134</td>\n",
       "      <td>0.919034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>0.028596</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016327</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.965959</td>\n",
       "      <td>0.801416</td>\n",
       "      <td>0.104556</td>\n",
       "      <td>0.103668</td>\n",
       "      <td>...</td>\n",
       "      <td>0.263019</td>\n",
       "      <td>0.577645</td>\n",
       "      <td>0.919920</td>\n",
       "      <td>0.704140</td>\n",
       "      <td>0.612588</td>\n",
       "      <td>1.229488</td>\n",
       "      <td>0.120038</td>\n",
       "      <td>0.191206</td>\n",
       "      <td>0.338359</td>\n",
       "      <td>0.523559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>0.126841</td>\n",
       "      <td>0.939753</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015340</td>\n",
       "      <td>0.101980</td>\n",
       "      <td>0.940339</td>\n",
       "      <td>0.931910</td>\n",
       "      <td>0.184809</td>\n",
       "      <td>0.946609</td>\n",
       "      <td>0.086549</td>\n",
       "      <td>...</td>\n",
       "      <td>0.928728</td>\n",
       "      <td>0.557939</td>\n",
       "      <td>1.446617</td>\n",
       "      <td>1.325720</td>\n",
       "      <td>1.080990</td>\n",
       "      <td>1.125394</td>\n",
       "      <td>0.122647</td>\n",
       "      <td>0.252892</td>\n",
       "      <td>0.273385</td>\n",
       "      <td>0.544454</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 159 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Correlation_Costes_DNA_FLAG  Correlation_Costes_DNA_HSV  \\\n",
       "0                          0.085018                    0.000000   \n",
       "1                          0.115966                    0.000469   \n",
       "2                          0.037340                    0.032880   \n",
       "3                          0.082445                    0.362626   \n",
       "4                          0.997273                    0.000000   \n",
       "...                             ...                         ...   \n",
       "133695                     0.076724                    0.068375   \n",
       "133696                     0.639251                    0.549868   \n",
       "133697                     0.000000                    0.313560   \n",
       "133698                     0.028596                    0.000000   \n",
       "133699                     0.126841                    0.939753   \n",
       "\n",
       "        Correlation_Costes_DNA_NWS  Correlation_Costes_DNA_Ollas  \\\n",
       "0                         0.075102                      0.000000   \n",
       "1                         0.068652                      0.000000   \n",
       "2                         0.001189                      0.110017   \n",
       "3                         0.062713                      0.636057   \n",
       "4                         0.724348                      0.000000   \n",
       "...                            ...                           ...   \n",
       "133695                    0.000000                      0.000000   \n",
       "133696                    0.000000                      0.288677   \n",
       "133697                    0.318448                      0.365861   \n",
       "133698                    0.000000                      0.016327   \n",
       "133699                    0.000000                      0.015340   \n",
       "\n",
       "        Correlation_Costes_DNA_S  Correlation_Costes_DNA_VSVG  \\\n",
       "0                       0.000000                     0.087477   \n",
       "1                       0.000000                     0.079541   \n",
       "2                       0.000000                     0.008361   \n",
       "3                       0.710705                     0.042792   \n",
       "4                       0.000000                     0.572223   \n",
       "...                          ...                          ...   \n",
       "133695                  0.000000                     0.000000   \n",
       "133696                  0.015526                     0.000000   \n",
       "133697                  0.000000                     0.000000   \n",
       "133698                  0.000000                     0.000000   \n",
       "133699                  0.101980                     0.940339   \n",
       "\n",
       "        Correlation_Manders_DNA_C  Correlation_Manders_DNA_FLAG  \\\n",
       "0                        0.171485                      0.334471   \n",
       "1                        0.019932                      0.202498   \n",
       "2                        0.063238                      0.819270   \n",
       "3                        0.451111                      0.355579   \n",
       "4                        0.153905                      1.000000   \n",
       "...                           ...                           ...   \n",
       "133695                   0.144062                      0.155227   \n",
       "133696                   0.860319                      0.745658   \n",
       "133697                   0.035162                      0.125556   \n",
       "133698                   0.965959                      0.801416   \n",
       "133699                   0.931910                      0.184809   \n",
       "\n",
       "        Correlation_Manders_DNA_HSV  Correlation_Manders_DNA_NWS  ...  \\\n",
       "0                          0.122425                     0.272036  ...   \n",
       "1                          0.152440                     0.185783  ...   \n",
       "2                          0.438006                     0.017946  ...   \n",
       "3                          0.655192                     0.459628  ...   \n",
       "4                          0.079922                     1.000000  ...   \n",
       "...                             ...                          ...  ...   \n",
       "133695                     0.145809                     0.049344  ...   \n",
       "133696                     0.738834                     0.097895  ...   \n",
       "133697                     0.373743                     0.373755  ...   \n",
       "133698                     0.104556                     0.103668  ...   \n",
       "133699                     0.946609                     0.086549  ...   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_3of4  \\\n",
       "0                                     0.391393   \n",
       "1                                     0.605029   \n",
       "2                                     0.252914   \n",
       "3                                     0.631931   \n",
       "4                                     0.774487   \n",
       "...                                        ...   \n",
       "133695                                0.243910   \n",
       "133696                                1.094172   \n",
       "133697                                1.190447   \n",
       "133698                                0.263019   \n",
       "133699                                0.928728   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_4of4  \\\n",
       "0                                     0.781718   \n",
       "1                                     0.370029   \n",
       "2                                     0.569577   \n",
       "3                                     0.913233   \n",
       "4                                     0.511029   \n",
       "...                                        ...   \n",
       "133695                                0.365390   \n",
       "133696                                1.108408   \n",
       "133697                                1.224097   \n",
       "133698                                0.577645   \n",
       "133699                                0.557939   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_1of4  \\\n",
       "0                                 1.212362   \n",
       "1                                 0.497995   \n",
       "2                                 0.000000   \n",
       "3                                 0.169474   \n",
       "4                                 0.000000   \n",
       "...                                    ...   \n",
       "133695                            0.000000   \n",
       "133696                            0.603334   \n",
       "133697                            0.980566   \n",
       "133698                            0.919920   \n",
       "133699                            1.446617   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_2of4  \\\n",
       "0                                 1.064993   \n",
       "1                                 0.401728   \n",
       "2                                 0.000000   \n",
       "3                                 0.356332   \n",
       "4                                 2.039550   \n",
       "...                                    ...   \n",
       "133695                            1.096991   \n",
       "133696                            0.314654   \n",
       "133697                            1.063520   \n",
       "133698                            0.704140   \n",
       "133699                            1.325720   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_3of4  \\\n",
       "0                                 0.758903   \n",
       "1                                 0.364964   \n",
       "2                                 2.324172   \n",
       "3                                 0.522433   \n",
       "4                                 1.155751   \n",
       "...                                    ...   \n",
       "133695                            1.612524   \n",
       "133696                            0.680284   \n",
       "133697                            1.301983   \n",
       "133698                            0.612588   \n",
       "133699                            1.080990   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_4of4  \\\n",
       "0                                 1.124459   \n",
       "1                                 0.318315   \n",
       "2                                 2.446358   \n",
       "3                                 0.730840   \n",
       "4                                 1.047892   \n",
       "...                                    ...   \n",
       "133695                            0.836004   \n",
       "133696                            1.457429   \n",
       "133697                            1.526587   \n",
       "133698                            1.229488   \n",
       "133699                            1.125394   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_1of4  \\\n",
       "0                                    0.309291   \n",
       "1                                    0.627694   \n",
       "2                                    0.000000   \n",
       "3                                    0.242420   \n",
       "4                                    0.079289   \n",
       "...                                       ...   \n",
       "133695                               0.597099   \n",
       "133696                               0.200216   \n",
       "133697                               2.645751   \n",
       "133698                               0.120038   \n",
       "133699                               0.122647   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_2of4  \\\n",
       "0                                    0.368628   \n",
       "1                                    0.566441   \n",
       "2                                    1.855921   \n",
       "3                                    0.501220   \n",
       "4                                    0.091116   \n",
       "...                                       ...   \n",
       "133695                               0.537393   \n",
       "133696                               0.107832   \n",
       "133697                               1.242633   \n",
       "133698                               0.191206   \n",
       "133699                               0.252892   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_3of4  \\\n",
       "0                                    0.819462   \n",
       "1                                    0.769759   \n",
       "2                                    1.268671   \n",
       "3                                    1.100836   \n",
       "4                                    0.104703   \n",
       "...                                       ...   \n",
       "133695                               0.890798   \n",
       "133696                               0.389603   \n",
       "133697                               1.452134   \n",
       "133698                               0.338359   \n",
       "133699                               0.273385   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_4of4  \n",
       "0                                    1.144822  \n",
       "1                                    0.943922  \n",
       "2                                    1.450964  \n",
       "3                                    1.040675  \n",
       "4                                    0.218402  \n",
       "...                                       ...  \n",
       "133695                               0.737002  \n",
       "133696                               0.697496  \n",
       "133697                               0.919034  \n",
       "133698                               0.523559  \n",
       "133699                               0.544454  \n",
       "\n",
       "[133700 rows x 159 columns]"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp_umap_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "eff42c3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(133700, 2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-2</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "      <th>MP_UMAP1</th>\n",
       "      <th>MP_UMAP2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012385</td>\n",
       "      <td>0.000820</td>\n",
       "      <td>0.005333</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "      <td>8.274383</td>\n",
       "      <td>-0.655967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024860</td>\n",
       "      <td>0.002435</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "      <td>13.875708</td>\n",
       "      <td>11.552190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011947</td>\n",
       "      <td>0.011055</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "      <td>6.743976</td>\n",
       "      <td>19.614027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009692</td>\n",
       "      <td>0.039075</td>\n",
       "      <td>0.004378</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "      <td>10.193657</td>\n",
       "      <td>8.133395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.088755</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</td>\n",
       "      <td>7.693904</td>\n",
       "      <td>17.100174</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008159</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.003234</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "      <td>-4.482765</td>\n",
       "      <td>7.153024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.066644</td>\n",
       "      <td>0.071050</td>\n",
       "      <td>0.032583</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "      <td>10.204902</td>\n",
       "      <td>5.165628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>0.048998</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "      <td>10.297348</td>\n",
       "      <td>1.767311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012290</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "      <td>8.326226</td>\n",
       "      <td>4.388920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021261</td>\n",
       "      <td>0.326146</td>\n",
       "      <td>0.141081</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "      <td>7.098932</td>\n",
       "      <td>3.543230</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-2  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.012385   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.024860   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.011947   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.009692   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.088755   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.008159   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.066644   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.000544   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.012290   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.021261   \n",
       "\n",
       "        intensity_mean-3  intensity_mean-4  intensity_mean-5  \\\n",
       "0               0.000820          0.005333          0.000442   \n",
       "1               0.002435          0.000203          0.006315   \n",
       "2               0.011055          0.001660          0.000317   \n",
       "3               0.039075          0.004378          0.062781   \n",
       "4               0.000502          0.002689          0.000070   \n",
       "...                  ...               ...               ...   \n",
       "133695          0.009501          0.003234          0.000016   \n",
       "133696          0.071050          0.032583          0.009312   \n",
       "133697          0.048998          0.000056          0.003363   \n",
       "133698          0.000637          0.005305          0.000244   \n",
       "133699          0.326146          0.141081          0.012467   \n",
       "\n",
       "        intensity_mean-6     Delta  embedding1  embedding2   MP_UMAP1  \\\n",
       "0               0.002411  0.007052    8.919654    8.924275   8.274383   \n",
       "1               0.000928  0.009323   10.795541    8.218206  13.875708   \n",
       "2               0.014562  0.009024   11.490246   10.536827   6.743976   \n",
       "3               0.061092  0.025526   12.307695    3.216018  10.193657   \n",
       "4               0.001225  0.071709    9.866774    1.810647   7.693904   \n",
       "...                  ...       ...         ...         ...        ...   \n",
       "133695          0.000670  0.002336   11.176550   12.540327  -4.482765   \n",
       "133696          0.031562  0.001021   11.251929    2.987429  10.204902   \n",
       "133697          0.064340  0.027823    9.917559    4.129629  10.297348   \n",
       "133698          0.010320  0.001827   10.905128   11.772167   8.326226   \n",
       "133699          0.004988  0.119821    6.712374   -2.731318   7.098932   \n",
       "\n",
       "         MP_UMAP2  \n",
       "0       -0.655967  \n",
       "1       11.552190  \n",
       "2       19.614027  \n",
       "3        8.133395  \n",
       "4       17.100174  \n",
       "...           ...  \n",
       "133695   7.153024  \n",
       "133696   5.165628  \n",
       "133697   1.767311  \n",
       "133698   4.388920  \n",
       "133699   3.543230  \n",
       "\n",
       "[133700 rows x 26 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# can we use cell profiler features to predict barcoded vs unbarcoded vs nuclear localized?\n",
    "# can we use area_shape features to filter weird segmented cells?\n",
    "reducer = umap.UMAP(low_memory=True)\n",
    "\n",
    "veto = ['ImageNumber', 'ObjectNumber','FileName','PathName','Children','Location', 'Number', 'Parent']\n",
    "L = mpcp_df.columns.tolist()\n",
    "for v in veto:\n",
    "    for l in L:\n",
    "        if l.startswith(v):\n",
    "            L.remove(l)\n",
    "\n",
    "mp_umap_df = mpcp_df[L]\n",
    "nan_cols = [i for i in mp_umap_df.columns if mp_umap_df[i].isnull().any()]\n",
    "mp_umap_df = mp_umap_df[mp_umap_df.columns[~mp_umap_df.columns.isin(nan_cols)]]\n",
    "\n",
    "eps=1e-10\n",
    "\n",
    "MAD = stats.median_abs_deviation(mp_umap_df, nan_policy='omit')\n",
    "scaled_mp_df = mp_umap_df - np.median(mp_umap_df, axis=0)\n",
    "scaled_mp_df = np.divide(scaled_mp_df, MAD+eps)\n",
    "\n",
    "mp_embedding = reducer.fit_transform(scaled_mp_df.values)\n",
    "print(mp_embedding.shape)\n",
    "soma_df[['MP_UMAP1','MP_UMAP2']] = mp_embedding\n",
    "soma_df\n",
    "# append embedding to epitope_df and debarcoded_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "639dc877",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2afe32880>"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot UMAP of 5 images - embedding based on epitope signals\n",
    "fit, ax = plt.subplots(figsize=(10,10))\n",
    "sns.scatterplot(data = soma_df, x='MP_UMAP1', y='MP_UMAP2', hue = 'Barcode', ax=ax, s=0.3)\n",
    "ax.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "931a2e0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Correlation_Correlation_C_DNA',\n",
       " 'Correlation_Correlation_C_FLAG',\n",
       " 'Correlation_Correlation_C_HSV',\n",
       " 'Correlation_Correlation_C_NWS',\n",
       " 'Correlation_Correlation_C_Ollas',\n",
       " 'Correlation_Correlation_C_S',\n",
       " 'Correlation_Correlation_C_VSVG',\n",
       " 'Correlation_Correlation_DNA_FLAG',\n",
       " 'Correlation_Correlation_DNA_HSV',\n",
       " 'Correlation_Correlation_DNA_NWS',\n",
       " 'Correlation_Correlation_DNA_Ollas',\n",
       " 'Correlation_Correlation_DNA_S',\n",
       " 'Correlation_Correlation_DNA_VSVG',\n",
       " 'Correlation_Correlation_FLAG_HSV',\n",
       " 'Correlation_Correlation_FLAG_NWS',\n",
       " 'Correlation_Correlation_FLAG_Ollas',\n",
       " 'Correlation_Correlation_FLAG_S',\n",
       " 'Correlation_Correlation_FLAG_VSVG',\n",
       " 'Correlation_Correlation_HSV_NWS',\n",
       " 'Correlation_Correlation_HSV_Ollas',\n",
       " 'Correlation_Correlation_HSV_S',\n",
       " 'Correlation_Correlation_HSV_VSVG',\n",
       " 'Correlation_Correlation_NWS_Ollas',\n",
       " 'Correlation_Correlation_NWS_S',\n",
       " 'Correlation_Correlation_NWS_VSVG',\n",
       " 'Correlation_Correlation_Ollas_S',\n",
       " 'Correlation_Correlation_Ollas_VSVG',\n",
       " 'Correlation_Correlation_S_VSVG',\n",
       " 'Correlation_Costes_C_DNA',\n",
       " 'Correlation_Costes_C_FLAG',\n",
       " 'Correlation_Costes_C_HSV',\n",
       " 'Correlation_Costes_C_NWS',\n",
       " 'Correlation_Costes_C_Ollas',\n",
       " 'Correlation_Costes_C_S',\n",
       " 'Correlation_Costes_C_VSVG',\n",
       " 'Correlation_Costes_DNA_C',\n",
       " 'Correlation_Costes_FLAG_C',\n",
       " 'Correlation_Costes_FLAG_DNA',\n",
       " 'Correlation_Costes_FLAG_HSV',\n",
       " 'Correlation_Costes_FLAG_NWS',\n",
       " 'Correlation_Costes_FLAG_Ollas',\n",
       " 'Correlation_Costes_FLAG_S',\n",
       " 'Correlation_Costes_FLAG_VSVG',\n",
       " 'Correlation_Costes_HSV_C',\n",
       " 'Correlation_Costes_HSV_DNA',\n",
       " 'Correlation_Costes_HSV_FLAG',\n",
       " 'Correlation_Costes_HSV_NWS',\n",
       " 'Correlation_Costes_HSV_Ollas',\n",
       " 'Correlation_Costes_HSV_S',\n",
       " 'Correlation_Costes_HSV_VSVG',\n",
       " 'Correlation_Costes_NWS_C',\n",
       " 'Correlation_Costes_NWS_DNA',\n",
       " 'Correlation_Costes_NWS_FLAG',\n",
       " 'Correlation_Costes_NWS_HSV',\n",
       " 'Correlation_Costes_NWS_Ollas',\n",
       " 'Correlation_Costes_NWS_S',\n",
       " 'Correlation_Costes_NWS_VSVG',\n",
       " 'Correlation_Costes_Ollas_C',\n",
       " 'Correlation_Costes_Ollas_DNA',\n",
       " 'Correlation_Costes_Ollas_FLAG',\n",
       " 'Correlation_Costes_Ollas_HSV',\n",
       " 'Correlation_Costes_Ollas_NWS',\n",
       " 'Correlation_Costes_Ollas_S',\n",
       " 'Correlation_Costes_Ollas_VSVG',\n",
       " 'Correlation_Costes_S_C',\n",
       " 'Correlation_Costes_S_DNA',\n",
       " 'Correlation_Costes_S_FLAG',\n",
       " 'Correlation_Costes_S_HSV',\n",
       " 'Correlation_Costes_S_NWS',\n",
       " 'Correlation_Costes_S_Ollas',\n",
       " 'Correlation_Costes_S_VSVG',\n",
       " 'Correlation_Costes_VSVG_C',\n",
       " 'Correlation_Costes_VSVG_DNA',\n",
       " 'Correlation_Costes_VSVG_FLAG',\n",
       " 'Correlation_Costes_VSVG_HSV',\n",
       " 'Correlation_Costes_VSVG_NWS',\n",
       " 'Correlation_Costes_VSVG_Ollas',\n",
       " 'Correlation_Costes_VSVG_S',\n",
       " 'Correlation_K_C_DNA',\n",
       " 'Correlation_K_C_FLAG',\n",
       " 'Correlation_K_C_HSV',\n",
       " 'Correlation_K_C_NWS',\n",
       " 'Correlation_K_C_Ollas',\n",
       " 'Correlation_K_C_S',\n",
       " 'Correlation_K_C_VSVG',\n",
       " 'Correlation_K_DNA_C',\n",
       " 'Correlation_K_DNA_FLAG',\n",
       " 'Correlation_K_DNA_HSV',\n",
       " 'Correlation_K_DNA_NWS',\n",
       " 'Correlation_K_DNA_Ollas',\n",
       " 'Correlation_K_DNA_S',\n",
       " 'Correlation_K_DNA_VSVG',\n",
       " 'Correlation_K_FLAG_C',\n",
       " 'Correlation_K_FLAG_DNA',\n",
       " 'Correlation_K_FLAG_HSV',\n",
       " 'Correlation_K_FLAG_NWS',\n",
       " 'Correlation_K_FLAG_Ollas',\n",
       " 'Correlation_K_FLAG_S',\n",
       " 'Correlation_K_FLAG_VSVG',\n",
       " 'Correlation_K_HSV_C',\n",
       " 'Correlation_K_HSV_DNA',\n",
       " 'Correlation_K_HSV_FLAG',\n",
       " 'Correlation_K_HSV_NWS',\n",
       " 'Correlation_K_HSV_Ollas',\n",
       " 'Correlation_K_HSV_S',\n",
       " 'Correlation_K_HSV_VSVG',\n",
       " 'Correlation_K_NWS_C',\n",
       " 'Correlation_K_NWS_DNA',\n",
       " 'Correlation_K_NWS_FLAG',\n",
       " 'Correlation_K_NWS_HSV',\n",
       " 'Correlation_K_NWS_Ollas',\n",
       " 'Correlation_K_NWS_S',\n",
       " 'Correlation_K_NWS_VSVG',\n",
       " 'Correlation_K_Ollas_C',\n",
       " 'Correlation_K_Ollas_DNA',\n",
       " 'Correlation_K_Ollas_FLAG',\n",
       " 'Correlation_K_Ollas_HSV',\n",
       " 'Correlation_K_Ollas_NWS',\n",
       " 'Correlation_K_Ollas_S',\n",
       " 'Correlation_K_Ollas_VSVG',\n",
       " 'Correlation_K_S_C',\n",
       " 'Correlation_K_S_DNA',\n",
       " 'Correlation_K_S_FLAG',\n",
       " 'Correlation_K_S_HSV',\n",
       " 'Correlation_K_S_NWS',\n",
       " 'Correlation_K_S_Ollas',\n",
       " 'Correlation_K_S_VSVG',\n",
       " 'Correlation_K_VSVG_C',\n",
       " 'Correlation_K_VSVG_DNA',\n",
       " 'Correlation_K_VSVG_FLAG',\n",
       " 'Correlation_K_VSVG_HSV',\n",
       " 'Correlation_K_VSVG_NWS',\n",
       " 'Correlation_K_VSVG_Ollas',\n",
       " 'Correlation_K_VSVG_S',\n",
       " 'Correlation_Manders_C_DNA',\n",
       " 'Correlation_Manders_C_FLAG',\n",
       " 'Correlation_Manders_C_HSV',\n",
       " 'Correlation_Manders_C_NWS',\n",
       " 'Correlation_Manders_C_Ollas',\n",
       " 'Correlation_Manders_C_S',\n",
       " 'Correlation_Manders_C_VSVG',\n",
       " 'Correlation_Manders_FLAG_C',\n",
       " 'Correlation_Manders_FLAG_DNA',\n",
       " 'Correlation_Manders_FLAG_HSV',\n",
       " 'Correlation_Manders_FLAG_NWS',\n",
       " 'Correlation_Manders_FLAG_Ollas',\n",
       " 'Correlation_Manders_FLAG_S',\n",
       " 'Correlation_Manders_FLAG_VSVG',\n",
       " 'Correlation_Manders_HSV_C',\n",
       " 'Correlation_Manders_HSV_DNA',\n",
       " 'Correlation_Manders_HSV_FLAG',\n",
       " 'Correlation_Manders_HSV_NWS',\n",
       " 'Correlation_Manders_HSV_Ollas',\n",
       " 'Correlation_Manders_HSV_S',\n",
       " 'Correlation_Manders_HSV_VSVG',\n",
       " 'Correlation_Manders_NWS_C',\n",
       " 'Correlation_Manders_NWS_DNA',\n",
       " 'Correlation_Manders_NWS_FLAG',\n",
       " 'Correlation_Manders_NWS_HSV',\n",
       " 'Correlation_Manders_NWS_Ollas',\n",
       " 'Correlation_Manders_NWS_S',\n",
       " 'Correlation_Manders_NWS_VSVG',\n",
       " 'Correlation_Manders_Ollas_C',\n",
       " 'Correlation_Manders_Ollas_DNA',\n",
       " 'Correlation_Manders_Ollas_FLAG',\n",
       " 'Correlation_Manders_Ollas_HSV',\n",
       " 'Correlation_Manders_Ollas_NWS',\n",
       " 'Correlation_Manders_Ollas_S',\n",
       " 'Correlation_Manders_Ollas_VSVG',\n",
       " 'Correlation_Manders_S_C',\n",
       " 'Correlation_Manders_S_DNA',\n",
       " 'Correlation_Manders_S_FLAG',\n",
       " 'Correlation_Manders_S_HSV',\n",
       " 'Correlation_Manders_S_NWS',\n",
       " 'Correlation_Manders_S_Ollas',\n",
       " 'Correlation_Manders_S_VSVG',\n",
       " 'Correlation_Manders_VSVG_C',\n",
       " 'Correlation_Manders_VSVG_DNA',\n",
       " 'Correlation_Manders_VSVG_FLAG',\n",
       " 'Correlation_Manders_VSVG_HSV',\n",
       " 'Correlation_Manders_VSVG_NWS',\n",
       " 'Correlation_Manders_VSVG_Ollas',\n",
       " 'Correlation_Manders_VSVG_S',\n",
       " 'Correlation_Overlap_C_DNA',\n",
       " 'Correlation_Overlap_C_FLAG',\n",
       " 'Correlation_Overlap_C_HSV',\n",
       " 'Correlation_Overlap_C_NWS',\n",
       " 'Correlation_Overlap_C_Ollas',\n",
       " 'Correlation_Overlap_C_S',\n",
       " 'Correlation_Overlap_C_VSVG',\n",
       " 'Correlation_Overlap_DNA_FLAG',\n",
       " 'Correlation_Overlap_DNA_HSV',\n",
       " 'Correlation_Overlap_DNA_NWS',\n",
       " 'Correlation_Overlap_DNA_Ollas',\n",
       " 'Correlation_Overlap_DNA_S',\n",
       " 'Correlation_Overlap_DNA_VSVG',\n",
       " 'Correlation_Overlap_FLAG_HSV',\n",
       " 'Correlation_Overlap_FLAG_NWS',\n",
       " 'Correlation_Overlap_FLAG_Ollas',\n",
       " 'Correlation_Overlap_FLAG_S',\n",
       " 'Correlation_Overlap_FLAG_VSVG',\n",
       " 'Correlation_Overlap_HSV_NWS',\n",
       " 'Correlation_Overlap_HSV_Ollas',\n",
       " 'Correlation_Overlap_HSV_S',\n",
       " 'Correlation_Overlap_HSV_VSVG',\n",
       " 'Correlation_Overlap_NWS_Ollas',\n",
       " 'Correlation_Overlap_NWS_S',\n",
       " 'Correlation_Overlap_NWS_VSVG',\n",
       " 'Correlation_Overlap_Ollas_S',\n",
       " 'Correlation_Overlap_Ollas_VSVG',\n",
       " 'Correlation_Overlap_S_VSVG',\n",
       " 'Correlation_RWC_C_DNA',\n",
       " 'Correlation_RWC_C_FLAG',\n",
       " 'Correlation_RWC_C_HSV',\n",
       " 'Correlation_RWC_C_NWS',\n",
       " 'Correlation_RWC_C_Ollas',\n",
       " 'Correlation_RWC_C_S',\n",
       " 'Correlation_RWC_C_VSVG',\n",
       " 'Correlation_RWC_FLAG_C',\n",
       " 'Correlation_RWC_FLAG_DNA',\n",
       " 'Correlation_RWC_FLAG_HSV',\n",
       " 'Correlation_RWC_FLAG_NWS',\n",
       " 'Correlation_RWC_FLAG_Ollas',\n",
       " 'Correlation_RWC_FLAG_S',\n",
       " 'Correlation_RWC_FLAG_VSVG',\n",
       " 'Correlation_RWC_HSV_C',\n",
       " 'Correlation_RWC_HSV_DNA',\n",
       " 'Correlation_RWC_HSV_FLAG',\n",
       " 'Correlation_RWC_HSV_NWS',\n",
       " 'Correlation_RWC_HSV_Ollas',\n",
       " 'Correlation_RWC_HSV_S',\n",
       " 'Correlation_RWC_HSV_VSVG',\n",
       " 'Correlation_RWC_NWS_C',\n",
       " 'Correlation_RWC_NWS_DNA',\n",
       " 'Correlation_RWC_NWS_FLAG',\n",
       " 'Correlation_RWC_NWS_HSV',\n",
       " 'Correlation_RWC_NWS_Ollas',\n",
       " 'Correlation_RWC_NWS_S',\n",
       " 'Correlation_RWC_NWS_VSVG',\n",
       " 'Correlation_RWC_Ollas_C',\n",
       " 'Correlation_RWC_Ollas_DNA',\n",
       " 'Correlation_RWC_Ollas_FLAG',\n",
       " 'Correlation_RWC_Ollas_HSV',\n",
       " 'Correlation_RWC_Ollas_NWS',\n",
       " 'Correlation_RWC_Ollas_S',\n",
       " 'Correlation_RWC_Ollas_VSVG',\n",
       " 'Correlation_RWC_S_C',\n",
       " 'Correlation_RWC_S_DNA',\n",
       " 'Correlation_RWC_S_FLAG',\n",
       " 'Correlation_RWC_S_HSV',\n",
       " 'Correlation_RWC_S_NWS',\n",
       " 'Correlation_RWC_S_Ollas',\n",
       " 'Correlation_RWC_S_VSVG',\n",
       " 'Correlation_RWC_VSVG_C',\n",
       " 'Correlation_RWC_VSVG_DNA',\n",
       " 'Correlation_RWC_VSVG_FLAG',\n",
       " 'Correlation_RWC_VSVG_HSV',\n",
       " 'Correlation_RWC_VSVG_NWS',\n",
       " 'Correlation_RWC_VSVG_Ollas',\n",
       " 'Correlation_RWC_VSVG_S',\n",
       " 'Intensity_MassDisplacement_C',\n",
       " 'Intensity_MassDisplacement_FLAG',\n",
       " 'Intensity_MassDisplacement_HSV',\n",
       " 'Intensity_MassDisplacement_NWS',\n",
       " 'Intensity_MassDisplacement_Ollas',\n",
       " 'Intensity_MassDisplacement_S',\n",
       " 'Intensity_MassDisplacement_VSVG',\n",
       " 'Location_CenterMassIntensity_X_FLAG',\n",
       " 'Location_CenterMassIntensity_X_NWS',\n",
       " 'Location_CenterMassIntensity_X_S',\n",
       " 'Location_CenterMassIntensity_Y_C',\n",
       " 'Location_CenterMassIntensity_Y_HSV',\n",
       " 'Location_CenterMassIntensity_Y_Ollas',\n",
       " 'Location_CenterMassIntensity_Y_VSVG',\n",
       " 'Location_CenterMassIntensity_Z_FLAG',\n",
       " 'Location_CenterMassIntensity_Z_NWS',\n",
       " 'Location_CenterMassIntensity_Z_S',\n",
       " 'RadialDistribution_FracAtD_C_1of4',\n",
       " 'RadialDistribution_FracAtD_C_2of4',\n",
       " 'RadialDistribution_FracAtD_C_3of4',\n",
       " 'RadialDistribution_FracAtD_C_4of4',\n",
       " 'RadialDistribution_FracAtD_FLAG_1of4',\n",
       " 'RadialDistribution_FracAtD_FLAG_2of4',\n",
       " 'RadialDistribution_FracAtD_FLAG_3of4',\n",
       " 'RadialDistribution_FracAtD_FLAG_4of4',\n",
       " 'RadialDistribution_FracAtD_HSV_1of4',\n",
       " 'RadialDistribution_FracAtD_HSV_2of4',\n",
       " 'RadialDistribution_FracAtD_HSV_3of4',\n",
       " 'RadialDistribution_FracAtD_HSV_4of4',\n",
       " 'RadialDistribution_FracAtD_NWS_1of4',\n",
       " 'RadialDistribution_FracAtD_NWS_2of4',\n",
       " 'RadialDistribution_FracAtD_NWS_3of4',\n",
       " 'RadialDistribution_FracAtD_NWS_4of4',\n",
       " 'RadialDistribution_FracAtD_Ollas_1of4',\n",
       " 'RadialDistribution_FracAtD_Ollas_2of4',\n",
       " 'RadialDistribution_FracAtD_Ollas_3of4',\n",
       " 'RadialDistribution_FracAtD_Ollas_4of4',\n",
       " 'RadialDistribution_FracAtD_S_1of4',\n",
       " 'RadialDistribution_FracAtD_S_2of4',\n",
       " 'RadialDistribution_FracAtD_S_3of4',\n",
       " 'RadialDistribution_FracAtD_S_4of4',\n",
       " 'RadialDistribution_FracAtD_VSVG_1of4',\n",
       " 'RadialDistribution_FracAtD_VSVG_2of4',\n",
       " 'RadialDistribution_FracAtD_VSVG_3of4',\n",
       " 'RadialDistribution_FracAtD_VSVG_4of4',\n",
       " 'RadialDistribution_MeanFrac_C_1of4',\n",
       " 'RadialDistribution_MeanFrac_C_2of4',\n",
       " 'RadialDistribution_MeanFrac_C_3of4',\n",
       " 'RadialDistribution_MeanFrac_C_4of4',\n",
       " 'RadialDistribution_MeanFrac_FLAG_1of4',\n",
       " 'RadialDistribution_MeanFrac_FLAG_2of4',\n",
       " 'RadialDistribution_MeanFrac_FLAG_3of4',\n",
       " 'RadialDistribution_MeanFrac_FLAG_4of4',\n",
       " 'RadialDistribution_MeanFrac_HSV_1of4',\n",
       " 'RadialDistribution_MeanFrac_HSV_2of4',\n",
       " 'RadialDistribution_MeanFrac_HSV_3of4',\n",
       " 'RadialDistribution_MeanFrac_HSV_4of4',\n",
       " 'RadialDistribution_MeanFrac_NWS_1of4',\n",
       " 'RadialDistribution_MeanFrac_NWS_2of4',\n",
       " 'RadialDistribution_MeanFrac_NWS_3of4',\n",
       " 'RadialDistribution_MeanFrac_NWS_4of4',\n",
       " 'RadialDistribution_MeanFrac_Ollas_1of4',\n",
       " 'RadialDistribution_MeanFrac_Ollas_2of4',\n",
       " 'RadialDistribution_MeanFrac_Ollas_3of4',\n",
       " 'RadialDistribution_MeanFrac_Ollas_4of4',\n",
       " 'RadialDistribution_MeanFrac_S_1of4',\n",
       " 'RadialDistribution_MeanFrac_S_2of4',\n",
       " 'RadialDistribution_MeanFrac_S_3of4',\n",
       " 'RadialDistribution_MeanFrac_S_4of4',\n",
       " 'RadialDistribution_MeanFrac_VSVG_1of4',\n",
       " 'RadialDistribution_MeanFrac_VSVG_2of4',\n",
       " 'RadialDistribution_MeanFrac_VSVG_3of4',\n",
       " 'RadialDistribution_MeanFrac_VSVG_4of4']"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_cols = [i for i in mp_umap_df.columns if mp_umap_df[i].isnull().any()]\n",
    "nan_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "bac02898",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "333"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(nan_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "176c9c8b",
   "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>Correlation_Correlation_C_DNA</th>\n",
       "      <th>Correlation_Correlation_C_FLAG</th>\n",
       "      <th>Correlation_Correlation_C_HSV</th>\n",
       "      <th>Correlation_Correlation_C_NWS</th>\n",
       "      <th>Correlation_Correlation_C_Ollas</th>\n",
       "      <th>Correlation_Correlation_C_S</th>\n",
       "      <th>Correlation_Correlation_C_VSVG</th>\n",
       "      <th>Correlation_Correlation_DNA_FLAG</th>\n",
       "      <th>Correlation_Correlation_DNA_HSV</th>\n",
       "      <th>Correlation_Correlation_DNA_NWS</th>\n",
       "      <th>...</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_Ollas_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_S_4of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_1of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_2of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_3of4</th>\n",
       "      <th>RadialDistribution_RadialCV_VSVG_4of4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.405568</td>\n",
       "      <td>0.579144</td>\n",
       "      <td>-0.029948</td>\n",
       "      <td>0.891888</td>\n",
       "      <td>0.002846</td>\n",
       "      <td>0.014524</td>\n",
       "      <td>0.868348</td>\n",
       "      <td>-0.345533</td>\n",
       "      <td>0.027893</td>\n",
       "      <td>-0.421241</td>\n",
       "      <td>...</td>\n",
       "      <td>0.391393</td>\n",
       "      <td>0.781718</td>\n",
       "      <td>1.212362</td>\n",
       "      <td>1.064993</td>\n",
       "      <td>0.758903</td>\n",
       "      <td>1.124459</td>\n",
       "      <td>0.309291</td>\n",
       "      <td>0.368628</td>\n",
       "      <td>0.819462</td>\n",
       "      <td>1.144822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.120659</td>\n",
       "      <td>-0.053589</td>\n",
       "      <td>0.108147</td>\n",
       "      <td>-0.019662</td>\n",
       "      <td>-0.006271</td>\n",
       "      <td>-0.027174</td>\n",
       "      <td>-0.009892</td>\n",
       "      <td>-0.694819</td>\n",
       "      <td>-0.287048</td>\n",
       "      <td>-0.698988</td>\n",
       "      <td>...</td>\n",
       "      <td>0.605029</td>\n",
       "      <td>0.370029</td>\n",
       "      <td>0.497995</td>\n",
       "      <td>0.401728</td>\n",
       "      <td>0.364964</td>\n",
       "      <td>0.318315</td>\n",
       "      <td>0.627694</td>\n",
       "      <td>0.566441</td>\n",
       "      <td>0.769759</td>\n",
       "      <td>0.943922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.043058</td>\n",
       "      <td>0.207603</td>\n",
       "      <td>0.194595</td>\n",
       "      <td>0.193065</td>\n",
       "      <td>0.173620</td>\n",
       "      <td>0.202804</td>\n",
       "      <td>0.967961</td>\n",
       "      <td>0.121759</td>\n",
       "      <td>-0.029920</td>\n",
       "      <td>-0.093355</td>\n",
       "      <td>...</td>\n",
       "      <td>0.252914</td>\n",
       "      <td>0.569577</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.324172</td>\n",
       "      <td>2.446358</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.855921</td>\n",
       "      <td>1.268671</td>\n",
       "      <td>1.450964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.032741</td>\n",
       "      <td>0.102508</td>\n",
       "      <td>0.114925</td>\n",
       "      <td>0.351646</td>\n",
       "      <td>0.135021</td>\n",
       "      <td>0.183171</td>\n",
       "      <td>0.359622</td>\n",
       "      <td>0.071309</td>\n",
       "      <td>0.177549</td>\n",
       "      <td>-0.062219</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631931</td>\n",
       "      <td>0.913233</td>\n",
       "      <td>0.169474</td>\n",
       "      <td>0.356332</td>\n",
       "      <td>0.522433</td>\n",
       "      <td>0.730840</td>\n",
       "      <td>0.242420</td>\n",
       "      <td>0.501220</td>\n",
       "      <td>1.100836</td>\n",
       "      <td>1.040675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.256089</td>\n",
       "      <td>0.230455</td>\n",
       "      <td>-0.008437</td>\n",
       "      <td>0.485189</td>\n",
       "      <td>-0.006212</td>\n",
       "      <td>0.203093</td>\n",
       "      <td>0.544842</td>\n",
       "      <td>-0.453010</td>\n",
       "      <td>0.055358</td>\n",
       "      <td>-0.587383</td>\n",
       "      <td>...</td>\n",
       "      <td>0.774487</td>\n",
       "      <td>0.511029</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.039550</td>\n",
       "      <td>1.155751</td>\n",
       "      <td>1.047892</td>\n",
       "      <td>0.079289</td>\n",
       "      <td>0.091116</td>\n",
       "      <td>0.104703</td>\n",
       "      <td>0.218402</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>0.016898</td>\n",
       "      <td>0.946519</td>\n",
       "      <td>0.955163</td>\n",
       "      <td>-0.045599</td>\n",
       "      <td>-0.034391</td>\n",
       "      <td>-0.007189</td>\n",
       "      <td>-0.050257</td>\n",
       "      <td>0.023746</td>\n",
       "      <td>0.013261</td>\n",
       "      <td>-0.066141</td>\n",
       "      <td>...</td>\n",
       "      <td>0.243910</td>\n",
       "      <td>0.365390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.096991</td>\n",
       "      <td>1.612524</td>\n",
       "      <td>0.836004</td>\n",
       "      <td>0.597099</td>\n",
       "      <td>0.537393</td>\n",
       "      <td>0.890798</td>\n",
       "      <td>0.737002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>-0.118881</td>\n",
       "      <td>0.333881</td>\n",
       "      <td>0.735675</td>\n",
       "      <td>0.133157</td>\n",
       "      <td>0.714265</td>\n",
       "      <td>-0.187726</td>\n",
       "      <td>-0.001180</td>\n",
       "      <td>-0.352069</td>\n",
       "      <td>-0.238145</td>\n",
       "      <td>-0.176890</td>\n",
       "      <td>...</td>\n",
       "      <td>1.094172</td>\n",
       "      <td>1.108408</td>\n",
       "      <td>0.603334</td>\n",
       "      <td>0.314654</td>\n",
       "      <td>0.680284</td>\n",
       "      <td>1.457429</td>\n",
       "      <td>0.200216</td>\n",
       "      <td>0.107832</td>\n",
       "      <td>0.389603</td>\n",
       "      <td>0.697496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>-0.058207</td>\n",
       "      <td>-0.021145</td>\n",
       "      <td>-0.112881</td>\n",
       "      <td>-0.116101</td>\n",
       "      <td>-0.113942</td>\n",
       "      <td>-0.101115</td>\n",
       "      <td>0.139406</td>\n",
       "      <td>0.054609</td>\n",
       "      <td>-0.053090</td>\n",
       "      <td>-0.073533</td>\n",
       "      <td>...</td>\n",
       "      <td>1.190447</td>\n",
       "      <td>1.224097</td>\n",
       "      <td>0.980566</td>\n",
       "      <td>1.063520</td>\n",
       "      <td>1.301983</td>\n",
       "      <td>1.526587</td>\n",
       "      <td>2.645751</td>\n",
       "      <td>1.242633</td>\n",
       "      <td>1.452134</td>\n",
       "      <td>0.919034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>-0.068751</td>\n",
       "      <td>0.338446</td>\n",
       "      <td>0.076893</td>\n",
       "      <td>0.002022</td>\n",
       "      <td>0.339401</td>\n",
       "      <td>0.055077</td>\n",
       "      <td>0.246227</td>\n",
       "      <td>0.013066</td>\n",
       "      <td>0.055967</td>\n",
       "      <td>-0.062182</td>\n",
       "      <td>...</td>\n",
       "      <td>0.263019</td>\n",
       "      <td>0.577645</td>\n",
       "      <td>0.919920</td>\n",
       "      <td>0.704140</td>\n",
       "      <td>0.612588</td>\n",
       "      <td>1.229488</td>\n",
       "      <td>0.120038</td>\n",
       "      <td>0.191206</td>\n",
       "      <td>0.338359</td>\n",
       "      <td>0.523559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>0.207050</td>\n",
       "      <td>-0.142933</td>\n",
       "      <td>0.979791</td>\n",
       "      <td>-0.173542</td>\n",
       "      <td>-0.168577</td>\n",
       "      <td>-0.184741</td>\n",
       "      <td>0.989169</td>\n",
       "      <td>-0.274651</td>\n",
       "      <td>0.193964</td>\n",
       "      <td>-0.094155</td>\n",
       "      <td>...</td>\n",
       "      <td>0.928728</td>\n",
       "      <td>0.557939</td>\n",
       "      <td>1.446617</td>\n",
       "      <td>1.325720</td>\n",
       "      <td>1.080990</td>\n",
       "      <td>1.125394</td>\n",
       "      <td>0.122647</td>\n",
       "      <td>0.252892</td>\n",
       "      <td>0.273385</td>\n",
       "      <td>0.544454</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 492 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Correlation_Correlation_C_DNA  Correlation_Correlation_C_FLAG  \\\n",
       "0                           -0.405568                        0.579144   \n",
       "1                           -0.120659                       -0.053589   \n",
       "2                           -0.043058                        0.207603   \n",
       "3                            0.032741                        0.102508   \n",
       "4                           -0.256089                        0.230455   \n",
       "...                               ...                             ...   \n",
       "133695                       0.016898                        0.946519   \n",
       "133696                      -0.118881                        0.333881   \n",
       "133697                      -0.058207                       -0.021145   \n",
       "133698                      -0.068751                        0.338446   \n",
       "133699                       0.207050                       -0.142933   \n",
       "\n",
       "        Correlation_Correlation_C_HSV  Correlation_Correlation_C_NWS  \\\n",
       "0                           -0.029948                       0.891888   \n",
       "1                            0.108147                      -0.019662   \n",
       "2                            0.194595                       0.193065   \n",
       "3                            0.114925                       0.351646   \n",
       "4                           -0.008437                       0.485189   \n",
       "...                               ...                            ...   \n",
       "133695                       0.955163                      -0.045599   \n",
       "133696                       0.735675                       0.133157   \n",
       "133697                      -0.112881                      -0.116101   \n",
       "133698                       0.076893                       0.002022   \n",
       "133699                       0.979791                      -0.173542   \n",
       "\n",
       "        Correlation_Correlation_C_Ollas  Correlation_Correlation_C_S  \\\n",
       "0                              0.002846                     0.014524   \n",
       "1                             -0.006271                    -0.027174   \n",
       "2                              0.173620                     0.202804   \n",
       "3                              0.135021                     0.183171   \n",
       "4                             -0.006212                     0.203093   \n",
       "...                                 ...                          ...   \n",
       "133695                        -0.034391                    -0.007189   \n",
       "133696                         0.714265                    -0.187726   \n",
       "133697                        -0.113942                    -0.101115   \n",
       "133698                         0.339401                     0.055077   \n",
       "133699                        -0.168577                    -0.184741   \n",
       "\n",
       "        Correlation_Correlation_C_VSVG  Correlation_Correlation_DNA_FLAG  \\\n",
       "0                             0.868348                         -0.345533   \n",
       "1                            -0.009892                         -0.694819   \n",
       "2                             0.967961                          0.121759   \n",
       "3                             0.359622                          0.071309   \n",
       "4                             0.544842                         -0.453010   \n",
       "...                                ...                               ...   \n",
       "133695                       -0.050257                          0.023746   \n",
       "133696                       -0.001180                         -0.352069   \n",
       "133697                        0.139406                          0.054609   \n",
       "133698                        0.246227                          0.013066   \n",
       "133699                        0.989169                         -0.274651   \n",
       "\n",
       "        Correlation_Correlation_DNA_HSV  Correlation_Correlation_DNA_NWS  ...  \\\n",
       "0                              0.027893                        -0.421241  ...   \n",
       "1                             -0.287048                        -0.698988  ...   \n",
       "2                             -0.029920                        -0.093355  ...   \n",
       "3                              0.177549                        -0.062219  ...   \n",
       "4                              0.055358                        -0.587383  ...   \n",
       "...                                 ...                              ...  ...   \n",
       "133695                         0.013261                        -0.066141  ...   \n",
       "133696                        -0.238145                        -0.176890  ...   \n",
       "133697                        -0.053090                        -0.073533  ...   \n",
       "133698                         0.055967                        -0.062182  ...   \n",
       "133699                         0.193964                        -0.094155  ...   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_3of4  \\\n",
       "0                                     0.391393   \n",
       "1                                     0.605029   \n",
       "2                                     0.252914   \n",
       "3                                     0.631931   \n",
       "4                                     0.774487   \n",
       "...                                        ...   \n",
       "133695                                0.243910   \n",
       "133696                                1.094172   \n",
       "133697                                1.190447   \n",
       "133698                                0.263019   \n",
       "133699                                0.928728   \n",
       "\n",
       "        RadialDistribution_RadialCV_Ollas_4of4  \\\n",
       "0                                     0.781718   \n",
       "1                                     0.370029   \n",
       "2                                     0.569577   \n",
       "3                                     0.913233   \n",
       "4                                     0.511029   \n",
       "...                                        ...   \n",
       "133695                                0.365390   \n",
       "133696                                1.108408   \n",
       "133697                                1.224097   \n",
       "133698                                0.577645   \n",
       "133699                                0.557939   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_1of4  \\\n",
       "0                                 1.212362   \n",
       "1                                 0.497995   \n",
       "2                                 0.000000   \n",
       "3                                 0.169474   \n",
       "4                                 0.000000   \n",
       "...                                    ...   \n",
       "133695                            0.000000   \n",
       "133696                            0.603334   \n",
       "133697                            0.980566   \n",
       "133698                            0.919920   \n",
       "133699                            1.446617   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_2of4  \\\n",
       "0                                 1.064993   \n",
       "1                                 0.401728   \n",
       "2                                 0.000000   \n",
       "3                                 0.356332   \n",
       "4                                 2.039550   \n",
       "...                                    ...   \n",
       "133695                            1.096991   \n",
       "133696                            0.314654   \n",
       "133697                            1.063520   \n",
       "133698                            0.704140   \n",
       "133699                            1.325720   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_3of4  \\\n",
       "0                                 0.758903   \n",
       "1                                 0.364964   \n",
       "2                                 2.324172   \n",
       "3                                 0.522433   \n",
       "4                                 1.155751   \n",
       "...                                    ...   \n",
       "133695                            1.612524   \n",
       "133696                            0.680284   \n",
       "133697                            1.301983   \n",
       "133698                            0.612588   \n",
       "133699                            1.080990   \n",
       "\n",
       "        RadialDistribution_RadialCV_S_4of4  \\\n",
       "0                                 1.124459   \n",
       "1                                 0.318315   \n",
       "2                                 2.446358   \n",
       "3                                 0.730840   \n",
       "4                                 1.047892   \n",
       "...                                    ...   \n",
       "133695                            0.836004   \n",
       "133696                            1.457429   \n",
       "133697                            1.526587   \n",
       "133698                            1.229488   \n",
       "133699                            1.125394   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_1of4  \\\n",
       "0                                    0.309291   \n",
       "1                                    0.627694   \n",
       "2                                    0.000000   \n",
       "3                                    0.242420   \n",
       "4                                    0.079289   \n",
       "...                                       ...   \n",
       "133695                               0.597099   \n",
       "133696                               0.200216   \n",
       "133697                               2.645751   \n",
       "133698                               0.120038   \n",
       "133699                               0.122647   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_2of4  \\\n",
       "0                                    0.368628   \n",
       "1                                    0.566441   \n",
       "2                                    1.855921   \n",
       "3                                    0.501220   \n",
       "4                                    0.091116   \n",
       "...                                       ...   \n",
       "133695                               0.537393   \n",
       "133696                               0.107832   \n",
       "133697                               1.242633   \n",
       "133698                               0.191206   \n",
       "133699                               0.252892   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_3of4  \\\n",
       "0                                    0.819462   \n",
       "1                                    0.769759   \n",
       "2                                    1.268671   \n",
       "3                                    1.100836   \n",
       "4                                    0.104703   \n",
       "...                                       ...   \n",
       "133695                               0.890798   \n",
       "133696                               0.389603   \n",
       "133697                               1.452134   \n",
       "133698                               0.338359   \n",
       "133699                               0.273385   \n",
       "\n",
       "        RadialDistribution_RadialCV_VSVG_4of4  \n",
       "0                                    1.144822  \n",
       "1                                    0.943922  \n",
       "2                                    1.450964  \n",
       "3                                    1.040675  \n",
       "4                                    0.218402  \n",
       "...                                       ...  \n",
       "133695                               0.737002  \n",
       "133696                               0.697496  \n",
       "133697                               0.919034  \n",
       "133698                               0.523559  \n",
       "133699                               0.544454  \n",
       "\n",
       "[133700 rows x 492 columns]"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp_umap_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "c3df25c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation_Correlation_C_DNA</th>\n",
       "      <th>Correlation_Correlation_C_FLAG</th>\n",
       "      <th>Correlation_Correlation_C_HSV</th>\n",
       "      <th>Correlation_Correlation_C_NWS</th>\n",
       "      <th>Correlation_Correlation_C_Ollas</th>\n",
       "      <th>Correlation_Correlation_C_S</th>\n",
       "      <th>Correlation_Correlation_C_VSVG</th>\n",
       "      <th>Correlation_Correlation_DNA_FLAG</th>\n",
       "      <th>Correlation_Correlation_DNA_HSV</th>\n",
       "      <th>Correlation_Correlation_DNA_NWS</th>\n",
       "      <th>...</th>\n",
       "      <th>RadialDistribution_MeanFrac_Ollas_3of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_Ollas_4of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_S_1of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_S_2of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_S_3of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_S_4of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_VSVG_1of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_VSVG_2of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_VSVG_3of4</th>\n",
       "      <th>RadialDistribution_MeanFrac_VSVG_4of4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.405568</td>\n",
       "      <td>0.579144</td>\n",
       "      <td>-0.029948</td>\n",
       "      <td>0.891888</td>\n",
       "      <td>0.002846</td>\n",
       "      <td>0.014524</td>\n",
       "      <td>0.868348</td>\n",
       "      <td>-0.345533</td>\n",
       "      <td>0.027893</td>\n",
       "      <td>-0.421241</td>\n",
       "      <td>...</td>\n",
       "      <td>1.095433</td>\n",
       "      <td>0.686101</td>\n",
       "      <td>0.767474</td>\n",
       "      <td>0.970477</td>\n",
       "      <td>0.882779</td>\n",
       "      <td>1.127660</td>\n",
       "      <td>0.452127</td>\n",
       "      <td>0.592235</td>\n",
       "      <td>0.933436</td>\n",
       "      <td>1.280126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.120659</td>\n",
       "      <td>-0.053589</td>\n",
       "      <td>0.108147</td>\n",
       "      <td>-0.019662</td>\n",
       "      <td>-0.006271</td>\n",
       "      <td>-0.027174</td>\n",
       "      <td>-0.009892</td>\n",
       "      <td>-0.694819</td>\n",
       "      <td>-0.287048</td>\n",
       "      <td>-0.698988</td>\n",
       "      <td>...</td>\n",
       "      <td>0.924881</td>\n",
       "      <td>1.079118</td>\n",
       "      <td>0.324512</td>\n",
       "      <td>0.456604</td>\n",
       "      <td>0.888100</td>\n",
       "      <td>1.382141</td>\n",
       "      <td>0.072776</td>\n",
       "      <td>0.174370</td>\n",
       "      <td>0.586175</td>\n",
       "      <td>1.745799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.043058</td>\n",
       "      <td>0.207603</td>\n",
       "      <td>0.194595</td>\n",
       "      <td>0.193065</td>\n",
       "      <td>0.173620</td>\n",
       "      <td>0.202804</td>\n",
       "      <td>0.967961</td>\n",
       "      <td>0.121759</td>\n",
       "      <td>-0.029920</td>\n",
       "      <td>-0.093355</td>\n",
       "      <td>...</td>\n",
       "      <td>1.214419</td>\n",
       "      <td>1.042793</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.199393</td>\n",
       "      <td>1.734007</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007289</td>\n",
       "      <td>0.036135</td>\n",
       "      <td>1.814208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.032741</td>\n",
       "      <td>0.102508</td>\n",
       "      <td>0.114925</td>\n",
       "      <td>0.351646</td>\n",
       "      <td>0.135021</td>\n",
       "      <td>0.183171</td>\n",
       "      <td>0.359622</td>\n",
       "      <td>0.071309</td>\n",
       "      <td>0.177549</td>\n",
       "      <td>-0.062219</td>\n",
       "      <td>...</td>\n",
       "      <td>0.926307</td>\n",
       "      <td>0.642026</td>\n",
       "      <td>2.410721</td>\n",
       "      <td>1.510302</td>\n",
       "      <td>0.898078</td>\n",
       "      <td>0.673873</td>\n",
       "      <td>1.217858</td>\n",
       "      <td>1.207101</td>\n",
       "      <td>1.551137</td>\n",
       "      <td>0.485076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.256089</td>\n",
       "      <td>0.230455</td>\n",
       "      <td>-0.008437</td>\n",
       "      <td>0.485189</td>\n",
       "      <td>-0.006212</td>\n",
       "      <td>0.203093</td>\n",
       "      <td>0.544842</td>\n",
       "      <td>-0.453010</td>\n",
       "      <td>0.055358</td>\n",
       "      <td>-0.587383</td>\n",
       "      <td>...</td>\n",
       "      <td>1.129982</td>\n",
       "      <td>0.972354</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078536</td>\n",
       "      <td>0.281626</td>\n",
       "      <td>1.948864</td>\n",
       "      <td>0.506099</td>\n",
       "      <td>0.534255</td>\n",
       "      <td>0.846236</td>\n",
       "      <td>1.332423</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133695</th>\n",
       "      <td>0.016898</td>\n",
       "      <td>0.946519</td>\n",
       "      <td>0.955163</td>\n",
       "      <td>-0.045599</td>\n",
       "      <td>-0.034391</td>\n",
       "      <td>-0.007189</td>\n",
       "      <td>-0.050257</td>\n",
       "      <td>0.023746</td>\n",
       "      <td>0.013261</td>\n",
       "      <td>-0.066141</td>\n",
       "      <td>...</td>\n",
       "      <td>1.108313</td>\n",
       "      <td>0.930599</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.570549</td>\n",
       "      <td>2.178897</td>\n",
       "      <td>0.438711</td>\n",
       "      <td>0.243667</td>\n",
       "      <td>0.382223</td>\n",
       "      <td>0.787338</td>\n",
       "      <td>1.391918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>-0.118881</td>\n",
       "      <td>0.333881</td>\n",
       "      <td>0.735675</td>\n",
       "      <td>0.133157</td>\n",
       "      <td>0.714265</td>\n",
       "      <td>-0.187726</td>\n",
       "      <td>-0.001180</td>\n",
       "      <td>-0.352069</td>\n",
       "      <td>-0.238145</td>\n",
       "      <td>-0.176890</td>\n",
       "      <td>...</td>\n",
       "      <td>1.235053</td>\n",
       "      <td>0.770796</td>\n",
       "      <td>0.087824</td>\n",
       "      <td>0.116378</td>\n",
       "      <td>0.167964</td>\n",
       "      <td>1.801522</td>\n",
       "      <td>1.663691</td>\n",
       "      <td>1.242158</td>\n",
       "      <td>1.045132</td>\n",
       "      <td>0.856064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>-0.058207</td>\n",
       "      <td>-0.021145</td>\n",
       "      <td>-0.112881</td>\n",
       "      <td>-0.116101</td>\n",
       "      <td>-0.113942</td>\n",
       "      <td>-0.101115</td>\n",
       "      <td>0.139406</td>\n",
       "      <td>0.054609</td>\n",
       "      <td>-0.053090</td>\n",
       "      <td>-0.073533</td>\n",
       "      <td>...</td>\n",
       "      <td>1.164160</td>\n",
       "      <td>0.968462</td>\n",
       "      <td>0.322238</td>\n",
       "      <td>1.173908</td>\n",
       "      <td>1.236807</td>\n",
       "      <td>0.852007</td>\n",
       "      <td>0.012735</td>\n",
       "      <td>0.104262</td>\n",
       "      <td>1.081515</td>\n",
       "      <td>1.344935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>-0.068751</td>\n",
       "      <td>0.338446</td>\n",
       "      <td>0.076893</td>\n",
       "      <td>0.002022</td>\n",
       "      <td>0.339401</td>\n",
       "      <td>0.055077</td>\n",
       "      <td>0.246227</td>\n",
       "      <td>0.013066</td>\n",
       "      <td>0.055967</td>\n",
       "      <td>-0.062182</td>\n",
       "      <td>...</td>\n",
       "      <td>1.274840</td>\n",
       "      <td>0.792605</td>\n",
       "      <td>2.363699</td>\n",
       "      <td>2.547863</td>\n",
       "      <td>0.949144</td>\n",
       "      <td>0.198920</td>\n",
       "      <td>1.721082</td>\n",
       "      <td>1.327692</td>\n",
       "      <td>1.165755</td>\n",
       "      <td>0.642427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>0.207050</td>\n",
       "      <td>-0.142933</td>\n",
       "      <td>0.979791</td>\n",
       "      <td>-0.173542</td>\n",
       "      <td>-0.168577</td>\n",
       "      <td>-0.184741</td>\n",
       "      <td>0.989169</td>\n",
       "      <td>-0.274651</td>\n",
       "      <td>0.193964</td>\n",
       "      <td>-0.094155</td>\n",
       "      <td>...</td>\n",
       "      <td>0.894266</td>\n",
       "      <td>1.170301</td>\n",
       "      <td>0.016627</td>\n",
       "      <td>0.191219</td>\n",
       "      <td>0.796182</td>\n",
       "      <td>1.367055</td>\n",
       "      <td>1.256913</td>\n",
       "      <td>1.206959</td>\n",
       "      <td>1.108006</td>\n",
       "      <td>0.875201</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 333 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Correlation_Correlation_C_DNA  Correlation_Correlation_C_FLAG  \\\n",
       "0                           -0.405568                        0.579144   \n",
       "1                           -0.120659                       -0.053589   \n",
       "2                           -0.043058                        0.207603   \n",
       "3                            0.032741                        0.102508   \n",
       "4                           -0.256089                        0.230455   \n",
       "...                               ...                             ...   \n",
       "133695                       0.016898                        0.946519   \n",
       "133696                      -0.118881                        0.333881   \n",
       "133697                      -0.058207                       -0.021145   \n",
       "133698                      -0.068751                        0.338446   \n",
       "133699                       0.207050                       -0.142933   \n",
       "\n",
       "        Correlation_Correlation_C_HSV  Correlation_Correlation_C_NWS  \\\n",
       "0                           -0.029948                       0.891888   \n",
       "1                            0.108147                      -0.019662   \n",
       "2                            0.194595                       0.193065   \n",
       "3                            0.114925                       0.351646   \n",
       "4                           -0.008437                       0.485189   \n",
       "...                               ...                            ...   \n",
       "133695                       0.955163                      -0.045599   \n",
       "133696                       0.735675                       0.133157   \n",
       "133697                      -0.112881                      -0.116101   \n",
       "133698                       0.076893                       0.002022   \n",
       "133699                       0.979791                      -0.173542   \n",
       "\n",
       "        Correlation_Correlation_C_Ollas  Correlation_Correlation_C_S  \\\n",
       "0                              0.002846                     0.014524   \n",
       "1                             -0.006271                    -0.027174   \n",
       "2                              0.173620                     0.202804   \n",
       "3                              0.135021                     0.183171   \n",
       "4                             -0.006212                     0.203093   \n",
       "...                                 ...                          ...   \n",
       "133695                        -0.034391                    -0.007189   \n",
       "133696                         0.714265                    -0.187726   \n",
       "133697                        -0.113942                    -0.101115   \n",
       "133698                         0.339401                     0.055077   \n",
       "133699                        -0.168577                    -0.184741   \n",
       "\n",
       "        Correlation_Correlation_C_VSVG  Correlation_Correlation_DNA_FLAG  \\\n",
       "0                             0.868348                         -0.345533   \n",
       "1                            -0.009892                         -0.694819   \n",
       "2                             0.967961                          0.121759   \n",
       "3                             0.359622                          0.071309   \n",
       "4                             0.544842                         -0.453010   \n",
       "...                                ...                               ...   \n",
       "133695                       -0.050257                          0.023746   \n",
       "133696                       -0.001180                         -0.352069   \n",
       "133697                        0.139406                          0.054609   \n",
       "133698                        0.246227                          0.013066   \n",
       "133699                        0.989169                         -0.274651   \n",
       "\n",
       "        Correlation_Correlation_DNA_HSV  Correlation_Correlation_DNA_NWS  ...  \\\n",
       "0                              0.027893                        -0.421241  ...   \n",
       "1                             -0.287048                        -0.698988  ...   \n",
       "2                             -0.029920                        -0.093355  ...   \n",
       "3                              0.177549                        -0.062219  ...   \n",
       "4                              0.055358                        -0.587383  ...   \n",
       "...                                 ...                              ...  ...   \n",
       "133695                         0.013261                        -0.066141  ...   \n",
       "133696                        -0.238145                        -0.176890  ...   \n",
       "133697                        -0.053090                        -0.073533  ...   \n",
       "133698                         0.055967                        -0.062182  ...   \n",
       "133699                         0.193964                        -0.094155  ...   \n",
       "\n",
       "        RadialDistribution_MeanFrac_Ollas_3of4  \\\n",
       "0                                     1.095433   \n",
       "1                                     0.924881   \n",
       "2                                     1.214419   \n",
       "3                                     0.926307   \n",
       "4                                     1.129982   \n",
       "...                                        ...   \n",
       "133695                                1.108313   \n",
       "133696                                1.235053   \n",
       "133697                                1.164160   \n",
       "133698                                1.274840   \n",
       "133699                                0.894266   \n",
       "\n",
       "        RadialDistribution_MeanFrac_Ollas_4of4  \\\n",
       "0                                     0.686101   \n",
       "1                                     1.079118   \n",
       "2                                     1.042793   \n",
       "3                                     0.642026   \n",
       "4                                     0.972354   \n",
       "...                                        ...   \n",
       "133695                                0.930599   \n",
       "133696                                0.770796   \n",
       "133697                                0.968462   \n",
       "133698                                0.792605   \n",
       "133699                                1.170301   \n",
       "\n",
       "        RadialDistribution_MeanFrac_S_1of4  \\\n",
       "0                                 0.767474   \n",
       "1                                 0.324512   \n",
       "2                                 0.000000   \n",
       "3                                 2.410721   \n",
       "4                                 0.000000   \n",
       "...                                    ...   \n",
       "133695                            0.000000   \n",
       "133696                            0.087824   \n",
       "133697                            0.322238   \n",
       "133698                            2.363699   \n",
       "133699                            0.016627   \n",
       "\n",
       "        RadialDistribution_MeanFrac_S_2of4  \\\n",
       "0                                 0.970477   \n",
       "1                                 0.456604   \n",
       "2                                 0.000000   \n",
       "3                                 1.510302   \n",
       "4                                 0.078536   \n",
       "...                                    ...   \n",
       "133695                            0.570549   \n",
       "133696                            0.116378   \n",
       "133697                            1.173908   \n",
       "133698                            2.547863   \n",
       "133699                            0.191219   \n",
       "\n",
       "        RadialDistribution_MeanFrac_S_3of4  \\\n",
       "0                                 0.882779   \n",
       "1                                 0.888100   \n",
       "2                                 0.199393   \n",
       "3                                 0.898078   \n",
       "4                                 0.281626   \n",
       "...                                    ...   \n",
       "133695                            2.178897   \n",
       "133696                            0.167964   \n",
       "133697                            1.236807   \n",
       "133698                            0.949144   \n",
       "133699                            0.796182   \n",
       "\n",
       "        RadialDistribution_MeanFrac_S_4of4  \\\n",
       "0                                 1.127660   \n",
       "1                                 1.382141   \n",
       "2                                 1.734007   \n",
       "3                                 0.673873   \n",
       "4                                 1.948864   \n",
       "...                                    ...   \n",
       "133695                            0.438711   \n",
       "133696                            1.801522   \n",
       "133697                            0.852007   \n",
       "133698                            0.198920   \n",
       "133699                            1.367055   \n",
       "\n",
       "        RadialDistribution_MeanFrac_VSVG_1of4  \\\n",
       "0                                    0.452127   \n",
       "1                                    0.072776   \n",
       "2                                    0.000000   \n",
       "3                                    1.217858   \n",
       "4                                    0.506099   \n",
       "...                                       ...   \n",
       "133695                               0.243667   \n",
       "133696                               1.663691   \n",
       "133697                               0.012735   \n",
       "133698                               1.721082   \n",
       "133699                               1.256913   \n",
       "\n",
       "        RadialDistribution_MeanFrac_VSVG_2of4  \\\n",
       "0                                    0.592235   \n",
       "1                                    0.174370   \n",
       "2                                    0.007289   \n",
       "3                                    1.207101   \n",
       "4                                    0.534255   \n",
       "...                                       ...   \n",
       "133695                               0.382223   \n",
       "133696                               1.242158   \n",
       "133697                               0.104262   \n",
       "133698                               1.327692   \n",
       "133699                               1.206959   \n",
       "\n",
       "        RadialDistribution_MeanFrac_VSVG_3of4  \\\n",
       "0                                    0.933436   \n",
       "1                                    0.586175   \n",
       "2                                    0.036135   \n",
       "3                                    1.551137   \n",
       "4                                    0.846236   \n",
       "...                                       ...   \n",
       "133695                               0.787338   \n",
       "133696                               1.045132   \n",
       "133697                               1.081515   \n",
       "133698                               1.165755   \n",
       "133699                               1.108006   \n",
       "\n",
       "        RadialDistribution_MeanFrac_VSVG_4of4  \n",
       "0                                    1.280126  \n",
       "1                                    1.745799  \n",
       "2                                    1.814208  \n",
       "3                                    0.485076  \n",
       "4                                    1.332423  \n",
       "...                                       ...  \n",
       "133695                               1.391918  \n",
       "133696                               0.856064  \n",
       "133697                               1.344935  \n",
       "133698                               0.642427  \n",
       "133699                               0.875201  \n",
       "\n",
       "[133700 rows x 333 columns]"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp_umap_df.loc[:,mp_umap_df.isna().any(axis=0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "5c09d9d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlation_Correlation_C_DNA\n",
      "Correlation_Correlation_C_FLAG\n",
      "Correlation_Correlation_C_HSV\n",
      "Correlation_Correlation_C_NWS\n",
      "Correlation_Correlation_C_Ollas\n",
      "Correlation_Correlation_C_S\n",
      "Correlation_Correlation_C_VSVG\n",
      "Correlation_Correlation_DNA_FLAG\n",
      "Correlation_Correlation_DNA_HSV\n",
      "Correlation_Correlation_DNA_NWS\n",
      "Correlation_Correlation_DNA_Ollas\n",
      "Correlation_Correlation_DNA_S\n",
      "Correlation_Correlation_DNA_VSVG\n",
      "Correlation_Correlation_FLAG_HSV\n",
      "Correlation_Correlation_FLAG_NWS\n",
      "Correlation_Correlation_FLAG_Ollas\n",
      "Correlation_Correlation_FLAG_S\n",
      "Correlation_Correlation_FLAG_VSVG\n",
      "Correlation_Correlation_HSV_NWS\n",
      "Correlation_Correlation_HSV_Ollas\n",
      "Correlation_Correlation_HSV_S\n",
      "Correlation_Correlation_HSV_VSVG\n",
      "Correlation_Correlation_NWS_Ollas\n",
      "Correlation_Correlation_NWS_S\n",
      "Correlation_Correlation_NWS_VSVG\n",
      "Correlation_Correlation_Ollas_S\n",
      "Correlation_Correlation_Ollas_VSVG\n",
      "Correlation_Correlation_S_VSVG\n",
      "Correlation_Costes_C_DNA\n",
      "Correlation_Costes_C_FLAG\n",
      "Correlation_Costes_C_HSV\n",
      "Correlation_Costes_C_NWS\n",
      "Correlation_Costes_C_Ollas\n",
      "Correlation_Costes_C_S\n",
      "Correlation_Costes_C_VSVG\n",
      "Correlation_Costes_DNA_C\n",
      "Correlation_Costes_DNA_FLAG\n",
      "Correlation_Costes_DNA_HSV\n",
      "Correlation_Costes_DNA_NWS\n",
      "Correlation_Costes_DNA_Ollas\n",
      "Correlation_Costes_DNA_S\n",
      "Correlation_Costes_DNA_VSVG\n",
      "Correlation_Costes_FLAG_C\n",
      "Correlation_Costes_FLAG_DNA\n",
      "Correlation_Costes_FLAG_HSV\n",
      "Correlation_Costes_FLAG_NWS\n",
      "Correlation_Costes_FLAG_Ollas\n",
      "Correlation_Costes_FLAG_S\n",
      "Correlation_Costes_FLAG_VSVG\n",
      "Correlation_Costes_HSV_C\n",
      "Correlation_Costes_HSV_DNA\n",
      "Correlation_Costes_HSV_FLAG\n",
      "Correlation_Costes_HSV_NWS\n",
      "Correlation_Costes_HSV_Ollas\n",
      "Correlation_Costes_HSV_S\n",
      "Correlation_Costes_HSV_VSVG\n",
      "Correlation_Costes_NWS_C\n",
      "Correlation_Costes_NWS_DNA\n",
      "Correlation_Costes_NWS_FLAG\n",
      "Correlation_Costes_NWS_HSV\n",
      "Correlation_Costes_NWS_Ollas\n",
      "Correlation_Costes_NWS_S\n",
      "Correlation_Costes_NWS_VSVG\n",
      "Correlation_Costes_Ollas_C\n",
      "Correlation_Costes_Ollas_DNA\n",
      "Correlation_Costes_Ollas_FLAG\n",
      "Correlation_Costes_Ollas_HSV\n",
      "Correlation_Costes_Ollas_NWS\n",
      "Correlation_Costes_Ollas_S\n",
      "Correlation_Costes_Ollas_VSVG\n",
      "Correlation_Costes_S_C\n",
      "Correlation_Costes_S_DNA\n",
      "Correlation_Costes_S_FLAG\n",
      "Correlation_Costes_S_HSV\n",
      "Correlation_Costes_S_NWS\n",
      "Correlation_Costes_S_Ollas\n",
      "Correlation_Costes_S_VSVG\n",
      "Correlation_Costes_VSVG_C\n",
      "Correlation_Costes_VSVG_DNA\n",
      "Correlation_Costes_VSVG_FLAG\n",
      "Correlation_Costes_VSVG_HSV\n",
      "Correlation_Costes_VSVG_NWS\n",
      "Correlation_Costes_VSVG_Ollas\n",
      "Correlation_Costes_VSVG_S\n",
      "Correlation_K_C_DNA\n",
      "Correlation_K_C_FLAG\n",
      "Correlation_K_C_HSV\n",
      "Correlation_K_C_NWS\n",
      "Correlation_K_C_Ollas\n",
      "Correlation_K_C_S\n",
      "Correlation_K_C_VSVG\n",
      "Correlation_K_DNA_C\n",
      "Correlation_K_DNA_FLAG\n",
      "Correlation_K_DNA_HSV\n",
      "Correlation_K_DNA_NWS\n",
      "Correlation_K_DNA_Ollas\n",
      "Correlation_K_DNA_S\n",
      "Correlation_K_DNA_VSVG\n",
      "Correlation_K_FLAG_C\n",
      "Correlation_K_FLAG_DNA\n",
      "Correlation_K_FLAG_HSV\n",
      "Correlation_K_FLAG_NWS\n",
      "Correlation_K_FLAG_Ollas\n",
      "Correlation_K_FLAG_S\n",
      "Correlation_K_FLAG_VSVG\n",
      "Correlation_K_HSV_C\n",
      "Correlation_K_HSV_DNA\n",
      "Correlation_K_HSV_FLAG\n",
      "Correlation_K_HSV_NWS\n",
      "Correlation_K_HSV_Ollas\n",
      "Correlation_K_HSV_S\n",
      "Correlation_K_HSV_VSVG\n",
      "Correlation_K_NWS_C\n",
      "Correlation_K_NWS_DNA\n",
      "Correlation_K_NWS_FLAG\n",
      "Correlation_K_NWS_HSV\n",
      "Correlation_K_NWS_Ollas\n",
      "Correlation_K_NWS_S\n",
      "Correlation_K_NWS_VSVG\n",
      "Correlation_K_Ollas_C\n",
      "Correlation_K_Ollas_DNA\n",
      "Correlation_K_Ollas_FLAG\n",
      "Correlation_K_Ollas_HSV\n",
      "Correlation_K_Ollas_NWS\n",
      "Correlation_K_Ollas_S\n",
      "Correlation_K_Ollas_VSVG\n",
      "Correlation_K_S_C\n",
      "Correlation_K_S_DNA\n",
      "Correlation_K_S_FLAG\n",
      "Correlation_K_S_HSV\n",
      "Correlation_K_S_NWS\n",
      "Correlation_K_S_Ollas\n",
      "Correlation_K_S_VSVG\n",
      "Correlation_K_VSVG_C\n",
      "Correlation_K_VSVG_DNA\n",
      "Correlation_K_VSVG_FLAG\n",
      "Correlation_K_VSVG_HSV\n",
      "Correlation_K_VSVG_NWS\n",
      "Correlation_K_VSVG_Ollas\n",
      "Correlation_K_VSVG_S\n",
      "Correlation_Manders_C_DNA\n",
      "Correlation_Manders_C_FLAG\n",
      "Correlation_Manders_C_HSV\n",
      "Correlation_Manders_C_NWS\n",
      "Correlation_Manders_C_Ollas\n",
      "Correlation_Manders_C_S\n",
      "Correlation_Manders_C_VSVG\n",
      "Correlation_Manders_DNA_C\n",
      "Correlation_Manders_DNA_FLAG\n",
      "Correlation_Manders_DNA_HSV\n",
      "Correlation_Manders_DNA_NWS\n",
      "Correlation_Manders_DNA_Ollas\n",
      "Correlation_Manders_DNA_S\n",
      "Correlation_Manders_DNA_VSVG\n",
      "Correlation_Manders_FLAG_C\n",
      "Correlation_Manders_FLAG_DNA\n",
      "Correlation_Manders_FLAG_HSV\n",
      "Correlation_Manders_FLAG_NWS\n",
      "Correlation_Manders_FLAG_Ollas\n",
      "Correlation_Manders_FLAG_S\n",
      "Correlation_Manders_FLAG_VSVG\n",
      "Correlation_Manders_HSV_C\n",
      "Correlation_Manders_HSV_DNA\n",
      "Correlation_Manders_HSV_FLAG\n",
      "Correlation_Manders_HSV_NWS\n",
      "Correlation_Manders_HSV_Ollas\n",
      "Correlation_Manders_HSV_S\n",
      "Correlation_Manders_HSV_VSVG\n",
      "Correlation_Manders_NWS_C\n",
      "Correlation_Manders_NWS_DNA\n",
      "Correlation_Manders_NWS_FLAG\n",
      "Correlation_Manders_NWS_HSV\n",
      "Correlation_Manders_NWS_Ollas\n",
      "Correlation_Manders_NWS_S\n",
      "Correlation_Manders_NWS_VSVG\n",
      "Correlation_Manders_Ollas_C\n",
      "Correlation_Manders_Ollas_DNA\n",
      "Correlation_Manders_Ollas_FLAG\n",
      "Correlation_Manders_Ollas_HSV\n",
      "Correlation_Manders_Ollas_NWS\n",
      "Correlation_Manders_Ollas_S\n",
      "Correlation_Manders_Ollas_VSVG\n",
      "Correlation_Manders_S_C\n",
      "Correlation_Manders_S_DNA\n",
      "Correlation_Manders_S_FLAG\n",
      "Correlation_Manders_S_HSV\n",
      "Correlation_Manders_S_NWS\n",
      "Correlation_Manders_S_Ollas\n",
      "Correlation_Manders_S_VSVG\n",
      "Correlation_Manders_VSVG_C\n",
      "Correlation_Manders_VSVG_DNA\n",
      "Correlation_Manders_VSVG_FLAG\n",
      "Correlation_Manders_VSVG_HSV\n",
      "Correlation_Manders_VSVG_NWS\n",
      "Correlation_Manders_VSVG_Ollas\n",
      "Correlation_Manders_VSVG_S\n",
      "Correlation_Overlap_C_DNA\n",
      "Correlation_Overlap_C_FLAG\n",
      "Correlation_Overlap_C_HSV\n",
      "Correlation_Overlap_C_NWS\n",
      "Correlation_Overlap_C_Ollas\n",
      "Correlation_Overlap_C_S\n",
      "Correlation_Overlap_C_VSVG\n",
      "Correlation_Overlap_DNA_FLAG\n",
      "Correlation_Overlap_DNA_HSV\n",
      "Correlation_Overlap_DNA_NWS\n",
      "Correlation_Overlap_DNA_Ollas\n",
      "Correlation_Overlap_DNA_S\n",
      "Correlation_Overlap_DNA_VSVG\n",
      "Correlation_Overlap_FLAG_HSV\n",
      "Correlation_Overlap_FLAG_NWS\n",
      "Correlation_Overlap_FLAG_Ollas\n",
      "Correlation_Overlap_FLAG_S\n",
      "Correlation_Overlap_FLAG_VSVG\n",
      "Correlation_Overlap_HSV_NWS\n",
      "Correlation_Overlap_HSV_Ollas\n",
      "Correlation_Overlap_HSV_S\n",
      "Correlation_Overlap_HSV_VSVG\n",
      "Correlation_Overlap_NWS_Ollas\n",
      "Correlation_Overlap_NWS_S\n",
      "Correlation_Overlap_NWS_VSVG\n",
      "Correlation_Overlap_Ollas_S\n",
      "Correlation_Overlap_Ollas_VSVG\n",
      "Correlation_Overlap_S_VSVG\n",
      "Correlation_RWC_C_DNA\n",
      "Correlation_RWC_C_FLAG\n",
      "Correlation_RWC_C_HSV\n",
      "Correlation_RWC_C_NWS\n",
      "Correlation_RWC_C_Ollas\n",
      "Correlation_RWC_C_S\n",
      "Correlation_RWC_C_VSVG\n",
      "Correlation_RWC_DNA_C\n",
      "Correlation_RWC_DNA_FLAG\n",
      "Correlation_RWC_DNA_HSV\n",
      "Correlation_RWC_DNA_NWS\n",
      "Correlation_RWC_DNA_Ollas\n",
      "Correlation_RWC_DNA_S\n",
      "Correlation_RWC_DNA_VSVG\n",
      "Correlation_RWC_FLAG_C\n",
      "Correlation_RWC_FLAG_DNA\n",
      "Correlation_RWC_FLAG_HSV\n",
      "Correlation_RWC_FLAG_NWS\n",
      "Correlation_RWC_FLAG_Ollas\n",
      "Correlation_RWC_FLAG_S\n",
      "Correlation_RWC_FLAG_VSVG\n",
      "Correlation_RWC_HSV_C\n",
      "Correlation_RWC_HSV_DNA\n",
      "Correlation_RWC_HSV_FLAG\n",
      "Correlation_RWC_HSV_NWS\n",
      "Correlation_RWC_HSV_Ollas\n",
      "Correlation_RWC_HSV_S\n",
      "Correlation_RWC_HSV_VSVG\n",
      "Correlation_RWC_NWS_C\n",
      "Correlation_RWC_NWS_DNA\n",
      "Correlation_RWC_NWS_FLAG\n",
      "Correlation_RWC_NWS_HSV\n",
      "Correlation_RWC_NWS_Ollas\n",
      "Correlation_RWC_NWS_S\n",
      "Correlation_RWC_NWS_VSVG\n",
      "Correlation_RWC_Ollas_C\n",
      "Correlation_RWC_Ollas_DNA\n",
      "Correlation_RWC_Ollas_FLAG\n",
      "Correlation_RWC_Ollas_HSV\n",
      "Correlation_RWC_Ollas_NWS\n",
      "Correlation_RWC_Ollas_S\n",
      "Correlation_RWC_Ollas_VSVG\n",
      "Correlation_RWC_S_C\n",
      "Correlation_RWC_S_DNA\n",
      "Correlation_RWC_S_FLAG\n",
      "Correlation_RWC_S_HSV\n",
      "Correlation_RWC_S_NWS\n",
      "Correlation_RWC_S_Ollas\n",
      "Correlation_RWC_S_VSVG\n",
      "Correlation_RWC_VSVG_C\n",
      "Correlation_RWC_VSVG_DNA\n",
      "Correlation_RWC_VSVG_FLAG\n",
      "Correlation_RWC_VSVG_HSV\n",
      "Correlation_RWC_VSVG_NWS\n",
      "Correlation_RWC_VSVG_Ollas\n",
      "Correlation_RWC_VSVG_S\n",
      "Intensity_IntegratedIntensityEdge_C\n",
      "Intensity_IntegratedIntensityEdge_FLAG\n",
      "Intensity_IntegratedIntensityEdge_HSV\n",
      "Intensity_IntegratedIntensityEdge_NWS\n",
      "Intensity_IntegratedIntensityEdge_Ollas\n",
      "Intensity_IntegratedIntensityEdge_S\n",
      "Intensity_IntegratedIntensityEdge_VSVG\n",
      "Intensity_IntegratedIntensity_C\n",
      "Intensity_IntegratedIntensity_FLAG\n",
      "Intensity_IntegratedIntensity_HSV\n",
      "Intensity_IntegratedIntensity_NWS\n",
      "Intensity_IntegratedIntensity_Ollas\n",
      "Intensity_IntegratedIntensity_S\n",
      "Intensity_IntegratedIntensity_VSVG\n",
      "Intensity_LowerQuartileIntensity_C\n",
      "Intensity_LowerQuartileIntensity_FLAG\n",
      "Intensity_LowerQuartileIntensity_HSV\n",
      "Intensity_LowerQuartileIntensity_NWS\n",
      "Intensity_LowerQuartileIntensity_Ollas\n",
      "Intensity_LowerQuartileIntensity_S\n",
      "Intensity_LowerQuartileIntensity_VSVG\n",
      "Intensity_MADIntensity_C\n",
      "Intensity_MADIntensity_FLAG\n",
      "Intensity_MADIntensity_HSV\n",
      "Intensity_MADIntensity_NWS\n",
      "Intensity_MADIntensity_Ollas\n",
      "Intensity_MADIntensity_S\n",
      "Intensity_MADIntensity_VSVG\n",
      "Intensity_MassDisplacement_C\n",
      "Intensity_MassDisplacement_FLAG\n",
      "Intensity_MassDisplacement_HSV\n",
      "Intensity_MassDisplacement_NWS\n",
      "Intensity_MassDisplacement_Ollas\n",
      "Intensity_MassDisplacement_S\n",
      "Intensity_MassDisplacement_VSVG\n",
      "Intensity_MaxIntensityEdge_C\n",
      "Intensity_MaxIntensityEdge_FLAG\n",
      "Intensity_MaxIntensityEdge_HSV\n",
      "Intensity_MaxIntensityEdge_NWS\n",
      "Intensity_MaxIntensityEdge_Ollas\n",
      "Intensity_MaxIntensityEdge_S\n",
      "Intensity_MaxIntensityEdge_VSVG\n",
      "Intensity_MaxIntensity_C\n",
      "Intensity_MaxIntensity_FLAG\n",
      "Intensity_MaxIntensity_HSV\n",
      "Intensity_MaxIntensity_NWS\n",
      "Intensity_MaxIntensity_Ollas\n",
      "Intensity_MaxIntensity_S\n",
      "Intensity_MaxIntensity_VSVG\n",
      "Intensity_MeanIntensityEdge_C\n",
      "Intensity_MeanIntensityEdge_FLAG\n",
      "Intensity_MeanIntensityEdge_HSV\n",
      "Intensity_MeanIntensityEdge_NWS\n",
      "Intensity_MeanIntensityEdge_Ollas\n",
      "Intensity_MeanIntensityEdge_S\n",
      "Intensity_MeanIntensityEdge_VSVG\n",
      "Intensity_MeanIntensity_C\n",
      "Intensity_MeanIntensity_FLAG\n",
      "Intensity_MeanIntensity_HSV\n",
      "Intensity_MeanIntensity_NWS\n",
      "Intensity_MeanIntensity_Ollas\n",
      "Intensity_MeanIntensity_S\n",
      "Intensity_MeanIntensity_VSVG\n",
      "Intensity_MedianIntensity_C\n",
      "Intensity_MedianIntensity_FLAG\n",
      "Intensity_MedianIntensity_HSV\n",
      "Intensity_MedianIntensity_NWS\n",
      "Intensity_MedianIntensity_Ollas\n",
      "Intensity_MedianIntensity_S\n",
      "Intensity_MedianIntensity_VSVG\n",
      "Intensity_MinIntensityEdge_C\n",
      "Intensity_MinIntensityEdge_FLAG\n",
      "Intensity_MinIntensityEdge_HSV\n",
      "Intensity_MinIntensityEdge_NWS\n",
      "Intensity_MinIntensityEdge_Ollas\n",
      "Intensity_MinIntensityEdge_S\n",
      "Intensity_MinIntensityEdge_VSVG\n",
      "Intensity_MinIntensity_C\n",
      "Intensity_MinIntensity_FLAG\n",
      "Intensity_MinIntensity_HSV\n",
      "Intensity_MinIntensity_NWS\n",
      "Intensity_MinIntensity_Ollas\n",
      "Intensity_MinIntensity_S\n",
      "Intensity_MinIntensity_VSVG\n",
      "Intensity_StdIntensityEdge_C\n",
      "Intensity_StdIntensityEdge_FLAG\n",
      "Intensity_StdIntensityEdge_HSV\n",
      "Intensity_StdIntensityEdge_NWS\n",
      "Intensity_StdIntensityEdge_Ollas\n",
      "Intensity_StdIntensityEdge_S\n",
      "Intensity_StdIntensityEdge_VSVG\n",
      "Intensity_StdIntensity_C\n",
      "Intensity_StdIntensity_FLAG\n",
      "Intensity_StdIntensity_HSV\n",
      "Intensity_StdIntensity_NWS\n",
      "Intensity_StdIntensity_Ollas\n",
      "Intensity_StdIntensity_S\n",
      "Intensity_StdIntensity_VSVG\n",
      "Intensity_UpperQuartileIntensity_C\n",
      "Intensity_UpperQuartileIntensity_FLAG\n",
      "Intensity_UpperQuartileIntensity_HSV\n",
      "Intensity_UpperQuartileIntensity_NWS\n",
      "Intensity_UpperQuartileIntensity_Ollas\n",
      "Intensity_UpperQuartileIntensity_S\n",
      "Intensity_UpperQuartileIntensity_VSVG\n",
      "Location_CenterMassIntensity_X_FLAG\n",
      "Location_CenterMassIntensity_X_NWS\n",
      "Location_CenterMassIntensity_X_S\n",
      "Location_CenterMassIntensity_Y_C\n",
      "Location_CenterMassIntensity_Y_HSV\n",
      "Location_CenterMassIntensity_Y_Ollas\n",
      "Location_CenterMassIntensity_Y_VSVG\n",
      "Location_CenterMassIntensity_Z_FLAG\n",
      "Location_CenterMassIntensity_Z_NWS\n",
      "Location_CenterMassIntensity_Z_S\n",
      "Location_Center_X\n",
      "Location_Center_Z\n",
      "Location_MaxIntensity_X_FLAG\n",
      "Location_MaxIntensity_X_NWS\n",
      "Location_MaxIntensity_X_S\n",
      "Location_MaxIntensity_Y_C\n",
      "Location_MaxIntensity_Y_HSV\n",
      "Location_MaxIntensity_Y_Ollas\n",
      "Location_MaxIntensity_Y_VSVG\n",
      "Location_MaxIntensity_Z_FLAG\n",
      "Location_MaxIntensity_Z_NWS\n",
      "Location_MaxIntensity_Z_S\n",
      "Parent_Nuclei\n",
      "RadialDistribution_FracAtD_C_1of4\n",
      "RadialDistribution_FracAtD_C_2of4\n",
      "RadialDistribution_FracAtD_C_3of4\n",
      "RadialDistribution_FracAtD_C_4of4\n",
      "RadialDistribution_FracAtD_FLAG_1of4\n",
      "RadialDistribution_FracAtD_FLAG_2of4\n",
      "RadialDistribution_FracAtD_FLAG_3of4\n",
      "RadialDistribution_FracAtD_FLAG_4of4\n",
      "RadialDistribution_FracAtD_HSV_1of4\n",
      "RadialDistribution_FracAtD_HSV_2of4\n",
      "RadialDistribution_FracAtD_HSV_3of4\n",
      "RadialDistribution_FracAtD_HSV_4of4\n",
      "RadialDistribution_FracAtD_NWS_1of4\n",
      "RadialDistribution_FracAtD_NWS_2of4\n",
      "RadialDistribution_FracAtD_NWS_3of4\n",
      "RadialDistribution_FracAtD_NWS_4of4\n",
      "RadialDistribution_FracAtD_Ollas_1of4\n",
      "RadialDistribution_FracAtD_Ollas_2of4\n",
      "RadialDistribution_FracAtD_Ollas_3of4\n",
      "RadialDistribution_FracAtD_Ollas_4of4\n",
      "RadialDistribution_FracAtD_S_1of4\n",
      "RadialDistribution_FracAtD_S_2of4\n",
      "RadialDistribution_FracAtD_S_3of4\n",
      "RadialDistribution_FracAtD_S_4of4\n",
      "RadialDistribution_FracAtD_VSVG_1of4\n",
      "RadialDistribution_FracAtD_VSVG_2of4\n",
      "RadialDistribution_FracAtD_VSVG_3of4\n",
      "RadialDistribution_FracAtD_VSVG_4of4\n",
      "RadialDistribution_MeanFrac_C_1of4\n",
      "RadialDistribution_MeanFrac_C_2of4\n",
      "RadialDistribution_MeanFrac_C_3of4\n",
      "RadialDistribution_MeanFrac_C_4of4\n",
      "RadialDistribution_MeanFrac_FLAG_1of4\n",
      "RadialDistribution_MeanFrac_FLAG_2of4\n",
      "RadialDistribution_MeanFrac_FLAG_3of4\n",
      "RadialDistribution_MeanFrac_FLAG_4of4\n",
      "RadialDistribution_MeanFrac_HSV_1of4\n",
      "RadialDistribution_MeanFrac_HSV_2of4\n",
      "RadialDistribution_MeanFrac_HSV_3of4\n",
      "RadialDistribution_MeanFrac_HSV_4of4\n",
      "RadialDistribution_MeanFrac_NWS_1of4\n",
      "RadialDistribution_MeanFrac_NWS_2of4\n",
      "RadialDistribution_MeanFrac_NWS_3of4\n",
      "RadialDistribution_MeanFrac_NWS_4of4\n",
      "RadialDistribution_MeanFrac_Ollas_1of4\n",
      "RadialDistribution_MeanFrac_Ollas_2of4\n",
      "RadialDistribution_MeanFrac_Ollas_3of4\n",
      "RadialDistribution_MeanFrac_Ollas_4of4\n",
      "RadialDistribution_MeanFrac_S_1of4\n",
      "RadialDistribution_MeanFrac_S_2of4\n",
      "RadialDistribution_MeanFrac_S_3of4\n",
      "RadialDistribution_MeanFrac_S_4of4\n",
      "RadialDistribution_MeanFrac_VSVG_1of4\n",
      "RadialDistribution_MeanFrac_VSVG_2of4\n",
      "RadialDistribution_MeanFrac_VSVG_3of4\n",
      "RadialDistribution_MeanFrac_VSVG_4of4\n",
      "RadialDistribution_RadialCV_C_1of4\n",
      "RadialDistribution_RadialCV_C_2of4\n",
      "RadialDistribution_RadialCV_C_3of4\n",
      "RadialDistribution_RadialCV_C_4of4\n",
      "RadialDistribution_RadialCV_FLAG_1of4\n",
      "RadialDistribution_RadialCV_FLAG_2of4\n",
      "RadialDistribution_RadialCV_FLAG_3of4\n",
      "RadialDistribution_RadialCV_FLAG_4of4\n",
      "RadialDistribution_RadialCV_HSV_1of4\n",
      "RadialDistribution_RadialCV_HSV_2of4\n",
      "RadialDistribution_RadialCV_HSV_3of4\n",
      "RadialDistribution_RadialCV_HSV_4of4\n",
      "RadialDistribution_RadialCV_NWS_1of4\n",
      "RadialDistribution_RadialCV_NWS_2of4\n",
      "RadialDistribution_RadialCV_NWS_3of4\n",
      "RadialDistribution_RadialCV_NWS_4of4\n",
      "RadialDistribution_RadialCV_Ollas_1of4\n",
      "RadialDistribution_RadialCV_Ollas_2of4\n",
      "RadialDistribution_RadialCV_Ollas_3of4\n",
      "RadialDistribution_RadialCV_Ollas_4of4\n",
      "RadialDistribution_RadialCV_S_1of4\n",
      "RadialDistribution_RadialCV_S_2of4\n",
      "RadialDistribution_RadialCV_S_3of4\n",
      "RadialDistribution_RadialCV_S_4of4\n",
      "RadialDistribution_RadialCV_VSVG_1of4\n",
      "RadialDistribution_RadialCV_VSVG_2of4\n",
      "RadialDistribution_RadialCV_VSVG_3of4\n",
      "RadialDistribution_RadialCV_VSVG_4of4\n"
     ]
    }
   ],
   "source": [
    "veto = ['ImageNumber', 'ObjectNumber','FileName','PathName','Children','Location', 'Number', 'Parent']\n",
    "L = mpcp_df.columns.tolist()\n",
    "for v in veto:\n",
    "    for l in L:\n",
    "        if l.startswith(v):\n",
    "            L.remove(l)\n",
    "for x in L: print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2687045e",
   "metadata": {},
   "source": [
    "## Check distribution of score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "fac5e688",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27.609630177983025"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cutoff = np.quantile(soma_df['LOGIT'], 0.98)\n",
    "cutoff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "70a94a3f",
   "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>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-0</th>\n",
       "      <th>intensity_mean-1</th>\n",
       "      <th>intensity_mean-2</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.611893</td>\n",
       "      <td>4.208633e-09</td>\n",
       "      <td>0.002772</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000455</td>\n",
       "      <td>0.000365</td>\n",
       "      <td>0.000835</td>\n",
       "      <td>0.000394</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.001371</td>\n",
       "      <td>0.000061</td>\n",
       "      <td>7.537869</td>\n",
       "      <td>17.682274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>51</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>1.0</td>\n",
       "      <td>23.215806</td>\n",
       "      <td>4.205488e-08</td>\n",
       "      <td>0.002153</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000098</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>0.000608</td>\n",
       "      <td>0.000476</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.001194</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>7.302880</td>\n",
       "      <td>17.879227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>65</td>\n",
       "      <td>intensity_mean-17</td>\n",
       "      <td>0.004004</td>\n",
       "      <td>F8</td>\n",
       "      <td>0.004004</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.014563</td>\n",
       "      <td>1.574239e-10</td>\n",
       "      <td>0.006553</td>\n",
       "      <td>NCKAP1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001987</td>\n",
       "      <td>0.002024</td>\n",
       "      <td>0.001502</td>\n",
       "      <td>0.002442</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000102</td>\n",
       "      <td>0.001431</td>\n",
       "      <td>0.000485</td>\n",
       "      <td>8.672345</td>\n",
       "      <td>15.929272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>96</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.000173</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.000173</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.874403</td>\n",
       "      <td>3.268734e-09</td>\n",
       "      <td>0.005136</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000554</td>\n",
       "      <td>0.000663</td>\n",
       "      <td>0.002856</td>\n",
       "      <td>0.000827</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000622</td>\n",
       "      <td>0.001273</td>\n",
       "      <td>0.000164</td>\n",
       "      <td>9.246196</td>\n",
       "      <td>16.853685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>169</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.000412</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.000412</td>\n",
       "      <td>1.0</td>\n",
       "      <td>26.743289</td>\n",
       "      <td>1.414962e-09</td>\n",
       "      <td>0.007515</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001536</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>0.004036</td>\n",
       "      <td>0.001148</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.002957</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>9.799386</td>\n",
       "      <td>15.749033</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133436</th>\n",
       "      <td>299</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.726771</td>\n",
       "      <td>2.080908e-10</td>\n",
       "      <td>0.013944</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000439</td>\n",
       "      <td>0.010828</td>\n",
       "      <td>0.003024</td>\n",
       "      <td>0.002587</td>\n",
       "      <td>0.001416</td>\n",
       "      <td>0.001486</td>\n",
       "      <td>0.002270</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>9.206439</td>\n",
       "      <td>12.837639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133526</th>\n",
       "      <td>89</td>\n",
       "      <td>intensity_mean-17</td>\n",
       "      <td>0.001436</td>\n",
       "      <td>F8</td>\n",
       "      <td>0.001436</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.991674</td>\n",
       "      <td>4.238936e-10</td>\n",
       "      <td>0.016180</td>\n",
       "      <td>NCKAP1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008116</td>\n",
       "      <td>0.007866</td>\n",
       "      <td>0.001556</td>\n",
       "      <td>0.007034</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.002475</td>\n",
       "      <td>0.000932</td>\n",
       "      <td>0.004558</td>\n",
       "      <td>9.315383</td>\n",
       "      <td>12.434775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133530</th>\n",
       "      <td>93</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.000158</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.000158</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.787750</td>\n",
       "      <td>3.553158e-09</td>\n",
       "      <td>0.002637</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000142</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>0.000518</td>\n",
       "      <td>0.000268</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.001131</td>\n",
       "      <td>0.000251</td>\n",
       "      <td>7.236165</td>\n",
       "      <td>17.310225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133674</th>\n",
       "      <td>237</td>\n",
       "      <td>intensity_mean-18</td>\n",
       "      <td>0.003370</td>\n",
       "      <td>G12</td>\n",
       "      <td>0.003370</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.842480</td>\n",
       "      <td>1.859666e-10</td>\n",
       "      <td>0.021879</td>\n",
       "      <td>DGKE</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.017550</td>\n",
       "      <td>0.002604</td>\n",
       "      <td>0.000676</td>\n",
       "      <td>0.002182</td>\n",
       "      <td>0.002237</td>\n",
       "      <td>0.007446</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>9.255559</td>\n",
       "      <td>11.514031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133692</th>\n",
       "      <td>255</td>\n",
       "      <td>intensity_mean-16</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>F5</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.827986</td>\n",
       "      <td>3.418140e-09</td>\n",
       "      <td>0.004447</td>\n",
       "      <td>ARPC3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000259</td>\n",
       "      <td>0.002149</td>\n",
       "      <td>0.001381</td>\n",
       "      <td>0.000744</td>\n",
       "      <td>0.000073</td>\n",
       "      <td>0.000381</td>\n",
       "      <td>0.001087</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>8.143991</td>\n",
       "      <td>16.397520</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4841 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW    P      LOGIT  \\\n",
       "24         25   intensity_mean-0  0.000133      A2  0.000133  1.0  25.611893   \n",
       "330        51   intensity_mean-9  0.000012      D4  0.000012  1.0  23.215806   \n",
       "344        65  intensity_mean-17  0.004004      F8  0.004004  1.0  29.014563   \n",
       "375        96   intensity_mean-8  0.000173      D3  0.000173  1.0  25.874403   \n",
       "448       169   intensity_mean-8  0.000412      D3  0.000412  1.0  26.743289   \n",
       "...       ...                ...       ...     ...       ...  ...        ...   \n",
       "133436    299  intensity_mean-15  0.003000      E8  0.003000  1.0  28.726771   \n",
       "133526     89  intensity_mean-17  0.001436      F8  0.001436  1.0  27.991674   \n",
       "133530     93   intensity_mean-9  0.000158      D4  0.000158  1.0  25.787750   \n",
       "133674    237  intensity_mean-18  0.003370     G12  0.003370  1.0  28.842480   \n",
       "133692    255  intensity_mean-16  0.000165      F5  0.000165  1.0  25.827986   \n",
       "\n",
       "             ENTROPY    X_NORM     Gene  ...  intensity_mean-0  \\\n",
       "24      4.208633e-09  0.002772   PGGT1B  ...          0.000455   \n",
       "330     4.205488e-08  0.002153     FAN1  ...          0.000098   \n",
       "344     1.574239e-10  0.006553   NCKAP1  ...          0.001987   \n",
       "375     3.268734e-09  0.005136  PPP2R2B  ...          0.000554   \n",
       "448     1.414962e-09  0.007515  PPP2R2B  ...          0.001536   \n",
       "...              ...       ...      ...  ...               ...   \n",
       "133436  2.080908e-10  0.013944     WASL  ...          0.000439   \n",
       "133526  4.238936e-10  0.016180   NCKAP1  ...          0.008116   \n",
       "133530  3.553158e-09  0.002637     FAN1  ...          0.000142   \n",
       "133674  1.859666e-10  0.021879     DGKE  ...          0.000222   \n",
       "133692  3.418140e-09  0.004447    ARPC3  ...          0.000259   \n",
       "\n",
       "        intensity_mean-1  intensity_mean-2  intensity_mean-3  \\\n",
       "24              0.000365          0.000835          0.000394   \n",
       "330             0.000050          0.000608          0.000476   \n",
       "344             0.002024          0.001502          0.002442   \n",
       "375             0.000663          0.002856          0.000827   \n",
       "448             0.000067          0.004036          0.001148   \n",
       "...                  ...               ...               ...   \n",
       "133436          0.010828          0.003024          0.002587   \n",
       "133526          0.007866          0.001556          0.007034   \n",
       "133530          0.000992          0.000518          0.000268   \n",
       "133674          0.017550          0.002604          0.000676   \n",
       "133692          0.002149          0.001381          0.000744   \n",
       "\n",
       "        intensity_mean-4  intensity_mean-5  intensity_mean-6     Delta  \\\n",
       "24              0.000019          0.000016          0.001371  0.000061   \n",
       "330             0.000009          0.000039          0.001194  0.000378   \n",
       "344             0.000009          0.000102          0.001431  0.000485   \n",
       "375             0.000015          0.000622          0.001273  0.000164   \n",
       "448             0.000019          0.000077          0.002957  0.000388   \n",
       "...                  ...               ...               ...       ...   \n",
       "133436          0.001416          0.001486          0.002270  0.000318   \n",
       "133526          0.000008          0.002475          0.000932  0.004558   \n",
       "133530          0.000007          0.000010          0.001131  0.000251   \n",
       "133674          0.002182          0.002237          0.007446  0.000367   \n",
       "133692          0.000073          0.000381          0.001087  0.000343   \n",
       "\n",
       "        embedding1  embedding2  \n",
       "24        7.537869   17.682274  \n",
       "330       7.302880   17.879227  \n",
       "344       8.672345   15.929272  \n",
       "375       9.246196   16.853685  \n",
       "448       9.799386   15.749033  \n",
       "...            ...         ...  \n",
       "133436    9.206439   12.837639  \n",
       "133526    9.315383   12.434775  \n",
       "133530    7.236165   17.310225  \n",
       "133674    9.255559   11.514031  \n",
       "133692    8.143991   16.397520  \n",
       "\n",
       "[4841 rows x 24 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soma_df[soma_df['LOGIT']>20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "6356ce7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axs = plt.subplots(2,4,figsize=(20,10))\n",
    "axs=axs.ravel()\n",
    "cols_to_plot = ['RAW','P','LOGIT','ENTROPY', 'X_NORM', 'Overlap_0.1','Overlap_0.2','Overlap_0.3']\n",
    "for i in range(len(axs)):\n",
    "    col = cols_to_plot[i]\n",
    "    if col == 'LOGIT':\n",
    "        \n",
    "        #df = soma_df[~soma_df['LOGIT'].isna()]\n",
    "        #cutoff = np.quantile(soma_df[col], 0.999)\n",
    "        axs[i].hist(soma_df[abs(soma_df[col])<10][col], bins=100)\n",
    "        #axs[i].hist(barcoded[col],bins=25)\n",
    "        axs[i].set_title(col)\n",
    "    else:\n",
    "        axs[i].hist(soma_df[col], bins = 100)\n",
    "        axs[i].set_title(col)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "5e11963a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2e9191970>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot UMAP of 5 images - embedding based on epitope signals\n",
    "fit, ax = plt.subplots(figsize=(10,10))\n",
    "sns.scatterplot(data = soma_df, x='embedding1', y='embedding2', hue = 'Barcode', ax=ax, s=0.3)\n",
    "ax.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "12a3fee2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot by 0) OverlapScore, 1) P, 2) RAW 3) LOGIT 4) ENTROPY\n",
    "cols_to_plot = ['Overlap_0.1','Overlap_0.2','Overlap_0.3','Delta','RAW','LOGIT','ENTROPY','X_NORM']\n",
    "fig,axs = plt.subplots(2,4, figsize=(20,10))\n",
    "axs = axs.ravel()\n",
    "df = soma_df[~soma_df['LOGIT'].isna()]\n",
    "##cutoff_logit = np.quantile(df['LOGIT'], 0.99)\n",
    "#cutoff_raw = np.quantile(df['RAW'], 0.01)\n",
    "# df_to_plot = df[~(df.RAW < cutoff_raw) & (df.LOGIT < cutoff_logit)]\n",
    "df_to_plot = df[abs(df.LOGIT) < 10]\n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = cols_to_plot[i]\n",
    "    if col == 'Delta':\n",
    "        plot=axs[i].scatter(df_to_plot.embedding1,df_to_plot.embedding2, c=df_to_plot[col], \n",
    "                            vmax = 0.1, s=0.01)\n",
    "    else:\n",
    "        plot=axs[i].scatter(df_to_plot.embedding1,df_to_plot.embedding2, c=df_to_plot[col],s=0.01)\n",
    "    fig.colorbar(plot, ax=axs[i])\n",
    "   \n",
    "    axs[i].set_title(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "3a81fa5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>intensity_mean-0</th>\n",
       "      <th>intensity_mean-1</th>\n",
       "      <th>intensity_mean-2</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>intensity_mean-7</th>\n",
       "      <th>intensity_mean-8</th>\n",
       "      <th>intensity_mean-9</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-12</th>\n",
       "      <th>intensity_mean-13</th>\n",
       "      <th>intensity_mean-14</th>\n",
       "      <th>intensity_mean-15</th>\n",
       "      <th>intensity_mean-16</th>\n",
       "      <th>intensity_mean-17</th>\n",
       "      <th>intensity_mean-18</th>\n",
       "      <th>intensity_mean-19</th>\n",
       "      <th>intensity_mean-20</th>\n",
       "      <th>intensity_mean-21</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</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",
       "      <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>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000235</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000193</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.049795</td>\n",
       "      <td>0.091246</td>\n",
       "      <td>0.010760</td>\n",
       "      <td>0.834857</td>\n",
       "      <td>0.044658</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028977</td>\n",
       "      <td>0.003427</td>\n",
       "      <td>0.127775</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056301</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006191</td>\n",
       "      <td>0.038701</td>\n",
       "      <td>0.003385</td>\n",
       "      <td>0.052506</td>\n",
       "      <td>0.006882</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.011826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.001048</td>\n",
       "      <td>0.007479</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001868</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048135</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008396</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000446</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000519</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.053877</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>0.000315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000518</td>\n",
       "      <td>0.000774</td>\n",
       "      <td>0.000422</td>\n",
       "      <td>0.000652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>0.117726</td>\n",
       "      <td>0.057322</td>\n",
       "      <td>0.037203</td>\n",
       "      <td>0.000374</td>\n",
       "      <td>0.010350</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>0.007458</td>\n",
       "      <td>0.001436</td>\n",
       "      <td>1.545070</td>\n",
       "      <td>0.000234</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016934</td>\n",
       "      <td>0.001804</td>\n",
       "      <td>0.000169</td>\n",
       "      <td>0.000303</td>\n",
       "      <td>0.010964</td>\n",
       "      <td>0.000989</td>\n",
       "      <td>0.002876</td>\n",
       "      <td>0.018480</td>\n",
       "      <td>0.000161</td>\n",
       "      <td>0.015395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>0.000735</td>\n",
       "      <td>0.014663</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000173</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000814</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000347</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010932</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>0.001964</td>\n",
       "      <td>0.000884</td>\n",
       "      <td>1.105142</td>\n",
       "      <td>0.001394</td>\n",
       "      <td>0.063500</td>\n",
       "      <td>0.000796</td>\n",
       "      <td>0.001368</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001343</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023984</td>\n",
       "      <td>0.000842</td>\n",
       "      <td>0.000887</td>\n",
       "      <td>0.082470</td>\n",
       "      <td>0.031298</td>\n",
       "      <td>0.002359</td>\n",
       "      <td>0.070435</td>\n",
       "      <td>0.002200</td>\n",
       "      <td>0.000486</td>\n",
       "      <td>0.004797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>0.000214</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000228</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000983</td>\n",
       "      <td>0.001138</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>398 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       intensity_mean-0  intensity_mean-1  intensity_mean-2  intensity_mean-3  \\\n",
       "label                                                                           \n",
       "1              0.000000          0.000000          0.000000          0.000235   \n",
       "2              0.049795          0.091246          0.010760          0.834857   \n",
       "3              0.001048          0.007479          0.000000          0.000000   \n",
       "4              0.000000          0.000519          0.000000          0.053877   \n",
       "5              0.000000          0.000000          0.000000          0.000000   \n",
       "...                 ...               ...               ...               ...   \n",
       "394            0.117726          0.057322          0.037203          0.000374   \n",
       "395            0.000735          0.014663          0.000000          0.000000   \n",
       "396            0.000000          0.000000          0.010932          0.000000   \n",
       "397            0.001964          0.000884          1.105142          0.001394   \n",
       "398            0.000214          0.000000          0.000000          0.000000   \n",
       "\n",
       "       intensity_mean-4  intensity_mean-5  intensity_mean-6  intensity_mean-7  \\\n",
       "label                                                                           \n",
       "1              0.000000          0.000000          0.000188          0.000000   \n",
       "2              0.044658          0.000000          0.028977          0.003427   \n",
       "3              0.001868          0.000000          0.048135          0.000000   \n",
       "4              0.000000          0.000000          0.000168          0.000022   \n",
       "5              0.000000          0.000000          0.000000          0.000000   \n",
       "...                 ...               ...               ...               ...   \n",
       "394            0.010350          0.000022          0.007458          0.001436   \n",
       "395            0.000000          0.000000          0.000173          0.000000   \n",
       "396            0.000000          0.000000          0.000000          0.000000   \n",
       "397            0.063500          0.000796          0.001368          0.000000   \n",
       "398            0.000000          0.000000          0.000000          0.000000   \n",
       "\n",
       "       intensity_mean-8  intensity_mean-9  ...  intensity_mean-12  \\\n",
       "label                                      ...                      \n",
       "1              0.000193          0.000000  ...           0.000000   \n",
       "2              0.127775          0.000278  ...           0.056301   \n",
       "3              0.000000          0.000000  ...           0.008396   \n",
       "4              0.000315          0.000000  ...           0.000000   \n",
       "5              0.000000          0.000000  ...           0.000000   \n",
       "...                 ...               ...  ...                ...   \n",
       "394            1.545070          0.000234  ...           0.016934   \n",
       "395            0.000814          0.000759  ...           0.000000   \n",
       "396            0.000000          0.000000  ...           0.000000   \n",
       "397            0.001343          0.000000  ...           0.023984   \n",
       "398            0.000000          0.000000  ...           0.000000   \n",
       "\n",
       "       intensity_mean-13  intensity_mean-14  intensity_mean-15  \\\n",
       "label                                                            \n",
       "1               0.000000           0.000000           0.000000   \n",
       "2               0.000000           0.000000           0.006191   \n",
       "3               0.000000           0.000000           0.000000   \n",
       "4               0.000000           0.000000           0.000000   \n",
       "5               0.000000           0.000000           0.000000   \n",
       "...                  ...                ...                ...   \n",
       "394             0.001804           0.000169           0.000303   \n",
       "395             0.000000           0.000000           0.000000   \n",
       "396             0.000000           0.000000           0.000000   \n",
       "397             0.000842           0.000887           0.082470   \n",
       "398             0.000228           0.000000           0.000000   \n",
       "\n",
       "       intensity_mean-16  intensity_mean-17  intensity_mean-18  \\\n",
       "label                                                            \n",
       "1               0.000000           0.000000           0.000000   \n",
       "2               0.038701           0.003385           0.052506   \n",
       "3               0.000248           0.000000           0.000000   \n",
       "4               0.000000           0.000000           0.000518   \n",
       "5               0.000000           0.000000           0.000000   \n",
       "...                  ...                ...                ...   \n",
       "394             0.010964           0.000989           0.002876   \n",
       "395             0.000347           0.000000           0.000000   \n",
       "396             0.000000           0.000000           0.000000   \n",
       "397             0.031298           0.002359           0.070435   \n",
       "398             0.000983           0.001138           0.000000   \n",
       "\n",
       "       intensity_mean-19  intensity_mean-20  intensity_mean-21  \n",
       "label                                                           \n",
       "1               0.000000           0.000000           0.000000  \n",
       "2               0.006882           0.000714           0.011826  \n",
       "3               0.000446           0.000000           0.000782  \n",
       "4               0.000774           0.000422           0.000652  \n",
       "5               0.000000           0.000000           0.000000  \n",
       "...                  ...                ...                ...  \n",
       "394             0.018480           0.000161           0.015395  \n",
       "395             0.000576           0.000000           0.000368  \n",
       "396             0.000000           0.000000           0.000000  \n",
       "397             0.002200           0.000486           0.004797  \n",
       "398             0.000000           0.000000           0.000000  \n",
       "\n",
       "[398 rows x 22 columns]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7374bea6",
   "metadata": {},
   "source": [
    "## Export single cell images "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "f3b3e3bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 280]"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_num=1\n",
    "barcoded = soma_df[soma_df.ImageNumber == image_num]\n",
    "barcoded.label.values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "763abb0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Plot by single-cell ##\n",
    "def plot_single_cells(image_num, soma_df, seg_df, interval, print_flag): # interval=100\n",
    "    #image_num = 5\n",
    "    epi_cols = [f'intensity_mean-{k}' for k in range(7)] # to define scores_df\n",
    "    coord_data = seg_df[seg_df.ImageNumber == image_num]\n",
    "\n",
    "    barcoded = soma_df[soma_df.ImageNumber == image_num]\n",
    "\n",
    "    fov = coord_data.FileName_Cyto.values[0].split('F')[-1][:3] # 004\n",
    "    soma = imread(f'{MP_CP_DIR}/F{fov}_max_clean_Soma.tiff')\n",
    "    mpscore = imread(f'{MP_DIR}/F{fov}_mp_score_max.tif').transpose(1,2,0) # YXC\n",
    "    seg = imread(f'max_clean/F{fov}_max_clean.tif')      \n",
    "    scores = measure.regionprops_table(soma, mpscore, properties = ['label','intensity_mean'])\n",
    "    scores_df = pd.DataFrame(scores)\n",
    "    scores_df = scores_df.set_index('label')\n",
    "\n",
    "    labels = barcoded.label.values.tolist() # cell numbers 1,2,3,...280\n",
    "    \n",
    "    import math\n",
    "    image_sets = range(math.ceil(len(labels)/interval))\n",
    "    \n",
    "    for image_set in image_sets: # 0,1,2,3\n",
    "        labels_subsets=labels[image_set*interval:(image_set+1)*interval]\n",
    "        if print_flag:\n",
    "            print(labels_subsets)\n",
    "        # plot intervals\n",
    "        fig, axs = plt.subplots(interval,10, figsize = (30,3*interval))\n",
    "        for i in range(len(labels_subsets)):\n",
    "            label = labels_subsets[i]\n",
    "            cell_id = coord_data[coord_data['ObjectNumber']==label].index[0]\n",
    "            x1,x2,y1,y2 = get_cell_coords(cell_id,coord_data)\n",
    "            im_to_show = soma == label\n",
    "            axs[i][0].imshow(im_to_show[y1-1:y2+1, x1-1:x2+1]) # plot cell \n",
    "            axs[i][0].set_title(barcoded.loc[cell_id, 'Barcode']+ \"...Label \" + str(label))\n",
    "            axs[i][0].axis('off')\n",
    "            # top 2 barcodes and 7 channels\n",
    "            top_2_idx = np.argsort(scores_df.loc[label].values)[-2:] # increasing orders\n",
    "            for j in range(1,3): # 1 2 \n",
    "                idx = top_2_idx[j-1] # 0 1\n",
    "                axs[i][j].imshow(mpscore[y1-1:y2+1, x1-1:x2+1, idx]) \n",
    "                axs[i][j].set_title(codebook.columns.tolist()[idx])\n",
    "                axs[i][j].axis('off')\n",
    "                \n",
    "            for j in range(3,10): # 3, 4, 5, 6, 7, 8, 9\n",
    "                axs[i][j].imshow(seg[j-2][y1-1:y2+1, x1-1:x2+1],\n",
    "                                vmin = np.quantile(seg[j-2],0.05), vmax = np.quantile(seg[j-2], 0.95))\n",
    "                axs[i][j].set_title(codebook.index.tolist()[j-3])\n",
    "                axs[i][j].axis('off')\n",
    "        fig.savefig(f'F{fov}_{image_num}_{image_set}.png')\n",
    "        plt.close()\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "90b9dfe8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200]\n",
      "[201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300]\n",
      "[301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313]\n",
      "63\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200]\n",
      "[201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300]\n",
      "[301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500]\n",
      "[501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600]\n",
      "[601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700]\n",
      "[701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800]\n",
      "[801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900]\n",
      "[901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000]\n",
      "[1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100]\n",
      "[1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109]\n",
      "113\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200]\n",
      "[201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500]\n",
      "[501, 502, 503, 504, 505, 506, 507, 508, 509]\n",
      "163\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200]\n",
      "[201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300]\n",
      "[301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382]\n",
      "213\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200]\n",
      "[201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300]\n",
      "[301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[401, 402, 403, 404, 405]\n"
     ]
    }
   ],
   "source": [
    "# select representative fovs\n",
    "selFOVs = ['012','062','112','162','212']\n",
    "image_nums = []\n",
    "for fov in selFOVs:\n",
    "    if fov in allFOVs:\n",
    "        image_num = list(set(mpcp_df[mpcp_df['FileName_max_clean'] == f'F{fov}_max_clean.tif'].ImageNumber.values))[0]\n",
    "        image_nums.append(image_num)\n",
    "\n",
    "for image_num in image_nums:\n",
    "    print(image_num)\n",
    "    plot_single_cells(image_num, soma_df, seg_df,100, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "50774fe6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13 313\n",
      "63 1109\n",
      "113 509\n",
      "163 382\n",
      "213 405\n"
     ]
    }
   ],
   "source": [
    "for image_num in image_nums:\n",
    "    print(image_num, len(soma_df[soma_df.ImageNumber==image_num]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "794614d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "soma_df[soma_df.ImageNumber==]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "6e651c91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A=soma_df[soma_df.ImageNumber.isin(image_nums)].index\n",
    "B=mpcp_df[mpcp_df.ImageNumber.isin(image_nums)].index\n",
    "np.array_equal(A,B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "6d1d4516",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "Name: 1, dtype: int64"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_labels[image_num].loc[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ec6de46",
   "metadata": {},
   "source": [
    "## Load ground truth "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "91e3b936",
   "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>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "      <th>MP_UMAP1</th>\n",
       "      <th>MP_UMAP2</th>\n",
       "      <th>True_Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000820</td>\n",
       "      <td>0.005333</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "      <td>8.274383</td>\n",
       "      <td>-0.655967</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002435</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "      <td>13.875708</td>\n",
       "      <td>11.552190</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011055</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "      <td>6.743976</td>\n",
       "      <td>19.614027</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.039075</td>\n",
       "      <td>0.004378</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "      <td>10.193657</td>\n",
       "      <td>8.133395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</td>\n",
       "      <td>7.693904</td>\n",
       "      <td>17.100174</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.003234</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "      <td>-4.482765</td>\n",
       "      <td>7.153024</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071050</td>\n",
       "      <td>0.032583</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "      <td>10.204902</td>\n",
       "      <td>5.165628</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048998</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "      <td>10.297348</td>\n",
       "      <td>1.767311</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "      <td>8.326226</td>\n",
       "      <td>4.388920</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.326146</td>\n",
       "      <td>0.141081</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "      <td>7.098932</td>\n",
       "      <td>3.543230</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-3  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.000820   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.002435   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.011055   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.039075   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.000502   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.009501   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.071050   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.048998   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.000637   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.326146   \n",
       "\n",
       "        intensity_mean-4  intensity_mean-5  intensity_mean-6     Delta  \\\n",
       "0               0.005333          0.000442          0.002411  0.007052   \n",
       "1               0.000203          0.006315          0.000928  0.009323   \n",
       "2               0.001660          0.000317          0.014562  0.009024   \n",
       "3               0.004378          0.062781          0.061092  0.025526   \n",
       "4               0.002689          0.000070          0.001225  0.071709   \n",
       "...                  ...               ...               ...       ...   \n",
       "133695          0.003234          0.000016          0.000670  0.002336   \n",
       "133696          0.032583          0.009312          0.031562  0.001021   \n",
       "133697          0.000056          0.003363          0.064340  0.027823   \n",
       "133698          0.005305          0.000244          0.010320  0.001827   \n",
       "133699          0.141081          0.012467          0.004988  0.119821   \n",
       "\n",
       "        embedding1  embedding2   MP_UMAP1   MP_UMAP2  True_Label  \n",
       "0         8.919654    8.924275   8.274383  -0.655967           0  \n",
       "1        10.795541    8.218206  13.875708  11.552190           0  \n",
       "2        11.490246   10.536827   6.743976  19.614027           0  \n",
       "3        12.307695    3.216018  10.193657   8.133395           0  \n",
       "4         9.866774    1.810647   7.693904  17.100174           0  \n",
       "...            ...         ...        ...        ...         ...  \n",
       "133695   11.176550   12.540327  -4.482765   7.153024           0  \n",
       "133696   11.251929    2.987429  10.204902   5.165628           0  \n",
       "133697    9.917559    4.129629  10.297348   1.767311           0  \n",
       "133698   10.905128   11.772167   8.326226   4.388920           0  \n",
       "133699    6.712374   -2.731318   7.098932   3.543230           0  \n",
       "\n",
       "[133700 rows x 27 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "6a593b99",
   "metadata": {},
   "outputs": [],
   "source": [
    "soma_df.to_csv('Coverslip1_soma_df.csv',sep=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f01a197a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-3</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "      <th>MP_UMAP1</th>\n",
       "      <th>MP_UMAP2</th>\n",
       "      <th>True_Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000820</td>\n",
       "      <td>0.005333</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "      <td>8.274383</td>\n",
       "      <td>-0.655967</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002435</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "      <td>13.875708</td>\n",
       "      <td>11.552190</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011055</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "      <td>6.743976</td>\n",
       "      <td>19.614027</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.039075</td>\n",
       "      <td>0.004378</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "      <td>10.193657</td>\n",
       "      <td>8.133395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</td>\n",
       "      <td>7.693904</td>\n",
       "      <td>17.100174</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.003234</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "      <td>-4.482765</td>\n",
       "      <td>7.153024</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071050</td>\n",
       "      <td>0.032583</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "      <td>10.204902</td>\n",
       "      <td>5.165628</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048998</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "      <td>10.297348</td>\n",
       "      <td>1.767311</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "      <td>8.326226</td>\n",
       "      <td>4.388920</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.326146</td>\n",
       "      <td>0.141081</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "      <td>7.098932</td>\n",
       "      <td>3.543230</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-3  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.000820   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.002435   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.011055   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.039075   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.000502   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.009501   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.071050   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.048998   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.000637   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.326146   \n",
       "\n",
       "        intensity_mean-4  intensity_mean-5  intensity_mean-6     Delta  \\\n",
       "0               0.005333          0.000442          0.002411  0.007052   \n",
       "1               0.000203          0.006315          0.000928  0.009323   \n",
       "2               0.001660          0.000317          0.014562  0.009024   \n",
       "3               0.004378          0.062781          0.061092  0.025526   \n",
       "4               0.002689          0.000070          0.001225  0.071709   \n",
       "...                  ...               ...               ...       ...   \n",
       "133695          0.003234          0.000016          0.000670  0.002336   \n",
       "133696          0.032583          0.009312          0.031562  0.001021   \n",
       "133697          0.000056          0.003363          0.064340  0.027823   \n",
       "133698          0.005305          0.000244          0.010320  0.001827   \n",
       "133699          0.141081          0.012467          0.004988  0.119821   \n",
       "\n",
       "        embedding1  embedding2   MP_UMAP1   MP_UMAP2  True_Label  \n",
       "0         8.919654    8.924275   8.274383  -0.655967           0  \n",
       "1        10.795541    8.218206  13.875708  11.552190           0  \n",
       "2        11.490246   10.536827   6.743976  19.614027           0  \n",
       "3        12.307695    3.216018  10.193657   8.133395           0  \n",
       "4         9.866774    1.810647   7.693904  17.100174           0  \n",
       "...            ...         ...        ...        ...         ...  \n",
       "133695   11.176550   12.540327  -4.482765   7.153024           0  \n",
       "133696   11.251929    2.987429  10.204902   5.165628           0  \n",
       "133697    9.917559    4.129629  10.297348   1.767311           0  \n",
       "133698   10.905128   11.772167   8.326226   4.388920           0  \n",
       "133699    6.712374   -2.731318   7.098932   3.543230           0  \n",
       "\n",
       "[133700 rows x 27 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soma_df = pd.read_csv('Coverslip1_soma_df.csv', sep=',', index_col=0)\n",
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5fdc98f7",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'true_labels' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[0;32mIn [6]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtrue_labels\u001b[49m[\u001b[38;5;241m13\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n",
      "\u001b[0;31mNameError\u001b[0m: name 'true_labels' is not defined"
     ]
    }
   ],
   "source": [
    "true_labels[13][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e59ea116",
   "metadata": {},
   "outputs": [],
   "source": [
    "true_labels = {}\n",
    "image_num_labelled = [13, 213]\n",
    "true_labels[13] = pd.read_csv('Coverslip1_GroundTruth_13.csv', sep=',', header=None)\n",
    "true_labels[213] = pd.read_csv('Coverslip1_GroundTruth_213.csv', sep=',', header = None)\n",
    "soma_df['True_Label'] = 0\n",
    "for image_num in image_num_labelled:\n",
    "    N_cells = true_labels[image_num][0].values.shape[0]\n",
    "    labels = true_labels[image_num][0].values.reshape((N_cells,))\n",
    "    idx = soma_df[soma_df.ImageNumber==image_num].index\n",
    "    print(len(idx) == len(labels))\n",
    "    soma_df.loc[idx,'True_Label'] = labels\n",
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0fa7d06b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removing 0 Cells\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(2,3,figsize=(15,10))\n",
    "axs = axs.ravel()\n",
    "col_to_plot = ['Delta','RAW','LOGIT','ENTROPY']\n",
    "\n",
    "\n",
    "#df_to_plot = soma_df[abs(soma_df.LOGIT) < 10]\n",
    "df_to_plot=soma_df.copy()\n",
    "print(f\"Removing {len(soma_df) - len(df_to_plot)} Cells\")\n",
    "\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "for i in range(len(axs)):\n",
    "    if i < 4:\n",
    "        col = col_to_plot[i]\n",
    "        df1 = df_to_plot[df_to_plot['True_Label'] == 1]\n",
    "        axs[i].scatter(df1['Overlap_0.1'], df1[col], s=5, color='r')\n",
    "        df2 = df_to_plot[df_to_plot['True_Label'] == 0]\n",
    "        axs[i].scatter(df2['Overlap_0.1'], df2[col], s=0.01, color='b')\n",
    "        axs[i].set_xlabel('Overlap_0.1')\n",
    "        axs[i].set_ylabel(col)\n",
    "        axs[i].set_title(f'Overlap_0.1 vs {col}')\n",
    "    else:\n",
    "        \n",
    "        df1 = df_to_plot[df_to_plot['True_Label'] == 1]\n",
    "        axs[i].scatter(df1['LOGIT'], df1[col_to_plot2[i-4]], s=5, color='r')\n",
    "        df2 = df_to_plot[df_to_plot['True_Label'] == 0]\n",
    "        axs[i].scatter(df2['LOGIT'], df2[col_to_plot2[i-4]], s=.01, color='b')\n",
    "        \n",
    "        #axs[i].scatter(df_to_plot['LOGIT'], df_to_plot[col_to_plot2[i-4]], s=1)\n",
    "        axs[i].set_xlabel('LOGIT')\n",
    "        axs[i].set_ylabel(col_to_plot2[i-4])\n",
    "        axs[i].set_title(f'LOGIT vs {col_to_plot2[i-4]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f795a04f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removing 10310 Cells\n"
     ]
    },
    {
     "data": {
      "image/png": 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dMwGgthYYMMDsX1dHl8wrrwTOPx/44Q+5DQC08hKQh4fHXgo/vXl4eGQdiQQwZ072skF5eHjsuUhF5MLI3cKFtMK5iMcZVzdlCn9XVXH7nBz+f+op4IUXgGnTgH79gNxcErxly4AZM4CaGuCjj7J/jh4eHh67EzzB8/DwSIuGErVYDLj77t0/i6aHh8euQTprvjvHDBwILF6cTPISCbpf5uTQIpeXx+2iUSZgycsDzj6b32PHAqtWkeS98w7QvTvbmD0b+Pa3+fugg7J2eh4eHh67FTzB8/DwSInGxMlEo0CfPvz28PDYt5Fu7nBLHSxcSEIoJE+WSybN4cNJ4uJxEj7b9XPECJNwZeBAoLoauPhioE0boHNn4P/+D/j6a27/8cfNetoeHh4eGSPbHk+e4Hl4eKREY9L2JhLAxo3eRdPDY19HOgVRIkESN3Ag5xh7volGTUIVu41EwpC7urpkl87ycrqHT53K5TU1wIoVwDHHAGvWsNC5WPO+9a3mPnsPDw+P9Mhm/TuBJ3geHh5p0dBkKR9+yILDH37YPP3x8PDYPeEKKJkoiNz1kmHTLqEwcCC/S0uB225jdsziYlrz5BjRKJe1aQNccQWXb9hAEvjLXwKrVwNHH01LHsDSCR4eHh4NRbaV19msfyfwBM/DwyPr6NCBblEdOrR0Tzw8PHYVwrTQrtBiW+Jke9dCN38+P7EYv8vKuK6kBOjZk3F40u78+WZfOx4vGgVGjwbWrQMefZSFzmtqgAcf5LbffJP1S+Dh4bGXozmsbUD2s457gufh4dEsaNOmpXvg4eGxK+HWuAOShSCxygkhsy1vtvZaYu2Ki4HKSpY9yMnhPtEoMHKkKWgO0EJXVrZzGYZ4nDF4nTvTLbOkBHj3XWO522+/5rwaHh4eeyOaw9rWHPAEz8PDIyM0RFu1fTvw4os+i6aHx74Gu4B5UPKUhhY1l+/iYpNwBWCs3fz5/F1URAIImPg8ie0rKAA2baIVb/t2biM182pqmniyHh4e+yR2d3IHeILn4eGRBg0VzhIJYOVKpjH3MS4eHvsG7LnBtszZyVPskgZhRFDakv9C7KRNaV8sfIkEa+EVF7MdidFLJLh9u3bA+PG04o0fD4wZw30B4IADdtXV8fDw8EhGcyeh8wTPw8NjJ7iCFtAwl4TaWmDBguBCxR4eHrs3Gip4BCmAhMDZZQ5sC5xsE+aiKSUSbGIH8DjiGVBezs/AgWx3+nTWvbNdNRMJFjkvKWEMXkUF6+IBQPv2DTtPDw8Pj2ygueL4bHiC5+HhkQR74nG15plixAjg5JN9HTwPjz0FQdazTPcLi0mxl9tzie22aW9r/7dLJNj7FBYCM2YY615xMfetqAC6duXv3FzuE4tRyVRTA9x/PzBoEPDBB8Crr3J9VVWmV8fDw8Mje9gVcXye4Hl4eCQhaOJJJ/DJOnG1isWAhx7yMXgeHnsCgpQ6mQge7n5BcMsf2ERPMmUGuYHLt8TZDRxIa100SldLgP/nzjWeAieeCCxZwvWJBN0xb7mF68aOpbtmUREwbBiXdeyY/hw9PDw8mgPNHce3B4QJenh47Gq4QpmtSXchgpm4VIm7VPv2e0YgsofHvg6X1GX63KYigy7pk//2crG+ubXuZE4pLEw+lv174UIgPx+46y4uq6sDpk0DWremO2Y8Dpx+OpOv1NUBixbxd/fuzMwJAO+/n9l5enh4eOwKpFKWNRTegufh4ZERwqx4bhxNNMplRx7pCZ6Hx56Cxj6rYeQuKGlKLJbsnmnH5CUSyZkxBw40yVOEBEpyFIDkr7wc0BoYPBgYOhTo0weYOJFtTZhgttu4kSSvd29gxQomgQKMK6eHh4dHSyPbcXle/PLw8EiLdG5btuY/kaAgt3Qpteg+Ds/DY8+BPLNBFjcXqdbZVn87aUphYbLFrrzcZNUUAifrg+ac0lJ+19YCzz4LnHEGtykvN8XPo1Hgjjtotbv/fqBTJ+5z993AW28B3/kO8J//APvv38CL4+Hh4dFMyHZcnrfgeXh4ZIRMY3Lmz2fR4W3bmj8NsIeHR/YQjwN33mksbW75Ahth2uaw0gfRKMldVVX4vCBzjMwjdps2SkqYyOmcc4BTT2XbxcVcLlbBdu1o2evVi5a6Pn2AHj2A44/ncgD4/PMGXiAPDw+PZkQ2vZ48wfPw8MgaRAtfVMQaU95F08Mju2hOpYkkMMnLCy5fYEOscu66RMK4V9rWOqlXZ8fZLV4MDBhg9rVJYV2dceWcP98kUrGtdCNHGmvj4sVcLzHA8TiPN2gQUF0N/PznzKZ59NH8DwAnnJC1S7fLoZSaoJTaoJRar5T6h1LK+0p4eHj8F57geXh4ZBUiyNXUtHRPPDz2LuyK2kniUh2WcMWOmXPr2okFEDAkz15vl0mQbSorDYGTmnZyzPJyQ/bKy7lM3Dndvg0cSM+BOXOAm28Gnn/ekMlevYC+fYFXXgG2bDFz02uvNeza7C5QSh0C4AoA+VrrrgByAJzbsr3y8PDIBrI1v3uC5+HhkTWI0Ne+PRMZvPVWS/fIw2Pvwa6oneTCFjbSlVMQC2A0mmz9s/cTEifbDxliEqnU1ZmEKsOHc100an6HJXSx3Tnr6oAdO4DnngM+/JD9qasDCgqA888HDj4YePddbnvAAdm9VrsYEQBtlFIRAN8C4HOCenjs4ZD5LBskzxM8Dw+PQDRmghG3rXfeAY46CujQIfv98vDYl7GryZ1tMcyknIKdVMnezk66YrdrWwJzcnbe1/7vCj/yLcSwqIjupRMnArfdBjz6KOPycnMZb3f22cC//23KL+ypBE9r/R6AyQDeAfABgC+01nPd7ZRSlyilqpVS1Z988smu7qaHh0cjUFeXnXY8wfPw2MfRkAQKmWLNGmD7dhM34+Hh0fJo6PMcZKVLlVEz3TEk5s6OxZPamRK/K+3biV5cjbbE2NnL43GgooKWuvvuo+tn587Am2/SJbOsjJbAv/4VUIr7vPRSw67H7gKl1HcBnAHgSAA/ALC/Uupn7nZa6we01vla6/z27dvv6m56eHg0AraiqynwBM/DYx9GGJFriitYNApcfjm1475EgofH7oHGKm0yzZ5rZ84MU+ycdFJyAhdZJoXLbbI2Y8bOSVoAunNKrJ0kYgGABQuA5cu5fadOwNq13HbMGM5Ft94K9OvH8i2rVnGfjh0bdi12IwwB8KbW+hOt9Q4ATwE4sYX75OHhkQKZzL2uoqsp8ATPw2MfRioi15QJZvt24I03GAPTUlBKPayU+lgptT5kfbFS6gul1Or6z/XWupOVUluUUq8ppX6163rt4RGOpsRlZDN+L0whFI2aendBsXv29nbsnGTeLC83dfhGjyYZjERo9SsvB2bP5va1tfQS6N+f1sCSEiZRkcLlubkkf1OnAtOmAfn5wMMPk/SdcAKTrgBsfw/FOwAKlFLfUkopACUANrVwnzw8PEKwKxJkufAEz8NjH0djBb5UE9VBBzEG76CDGtd2lvAIgJPTbLNYa92z/vNHAFBK5QC4G8AIAJ0BnKeU6tysPfXwSINsCAhNJXcSMxdm9Qd2Lq0QlJAlKPOmnS0zFgPuuYfrEgm6WxYUAOvXG+vgCSeQoA0cSIXSb35jSOGgQSRxSgGvv87te/ZkTPBZZzGTJsCsmnsitNbLATwB4GUA60BZ7oEW7ZTHPoO9qb7trjqXTBVs2SSCnuB5eHg0GKmKHAMUwrZta9kYPK31IgCfNWLXvgBe01q/obWuBfA4GO/i4dFiaKwFTkhZU2Fb4TIVVNysm247xcUkZFJ7b/hwLotGWZRctge4/oorgCVLgHXrSOIAumpefTXwpz+xuHk8Dtx1F+NYrr6aiVWqq4ETT+RxtSYhBIDvf7/p16WloLX+vda6k9a6q9b651rrr1u6Tx57P1rCEtVc2NXnEqTgCtomW54WnuB5eHhkBDuJQpBGXpIiJBIUoOSzm6NQKbVGKTVHKdWlftkhAN61ttlavywQPlOdx65CY8jd/PnBSUrCtk91bHnmU/VDjllayv9u9kw7o6a4ctqxuosXk6SVlDDWrqzMlFEQEjhxIrBihelvhw5cJy6fxx9PN81olMsHDCD5u/de1sfr2pXbtbCHgYfHHoeWKNXSXGipsjPpSGW2+uMJnofHPoqGaK3cJAquRr60FJg+PTkpwh6AlwEcrrXuAeAuAM80phGfqc5jd4UE7NtB+6ms79kQPCIREjI7E9zChclZMYUkBmXo7NOHCVbsfrjb2G6gNTXAe++x3bo6HmfLFsbnRaMkd5WVnKOWLGF9zjfeYFt7aqFzD4+WxB70jk+LXX0umZBKX+jcw8Oj0Wioa4KdRCFIKBOtuiQtiEaB/fffvZMYaK2/1FrH6n/PBtBaKXUggPcAHGpt2qF+mYfHHgfX4pZKwJDl4lod5oKdbt6QAuZy7IEDmQylsDA5AYvbh0QCWLYMGDfOWOuGD9/Z+iiWunicLpp//CPdMGMxlki49FJg0SL+r6wkyevfn22VlACHHcb999Q6eB4eHnsu0pE7H4Pn4eHRaLiFhzPdx/5214mbVSLB+lL77bd7a/qUUgfVZ6CDUqovOB9+CmAFgGOUUkcqpXIBnAvguZbrqYdHdhFErCQuTpKe2C7X9jZBdenSHUMUQ5IURbJoBqGujtuLl0AiAdxyC/sjSVekP/E4M2quXctMma++CnTpwv2efBKYN4/7zZvH+L3t20kIP/6YbUgCFg8Pj30PzRl7l67tMGWZj8Hz8PDICrIdYCxC2eDBTGDQknXwlFL/AFAF4Dil1Fal1EVKqdFKqdH1m/wIwHql1BoA0wGcq4kEgHEASsHU4//SWm9oiXPw8NgVsIWKaNQkPbEFjcYIHq6bZSJhYuxc8ijIyUnWYicSJGIvvABMngzMncuMmnPmMNPmUUcx4crSpbT8nXYaz+Huu9nfzZvp9nnYYYznmznTxN4df3yTLpuHh8cegCAZpzkTrKRrOyjkxYaPwfPw8EhCYwoYZzPA2J60GtOfbENrfZ7W+mCtdWutdQet9UNa6/u01vfVr5+hte6ite6htS7QWi+19p2ttT5Wa3201vpPLXcWHh6NRybPYJC7pChm3LlBXC7dmD63vbByCq6rN7CzkDNkSLIreDTKTJh5eSRwAC2I69YBv/gF0KYN9/33v+mWuX07LZAAY+46dQIeeQTo3RsoKqKlb7/9uN6HzHrsjWjpd+/uhFRkq7kSrKSTrVKFvGQTnuB5eOwFaKw2KmxiaWg7YrmTYsXPPcdEBtu2NawdDw+P7CATLXJT5w13fzdrZzrhpbSU88XAgfzvFkOX7xEjGDuXl0cXzjVrgEsuAR57DBgzhoLSOefQknf//cCoUdwvJ4eEcdQo9uXee7n/Rx+x7VisYeft4bG7Y28qY5ANBJEt2yW9OY+byfrmDGPxBM/DYw+GrX3PliYozG0gVR9ke0mucOKJFKQ8PDyyj0yezVRzgv3MBm3TEOFQYurkmAMGMIvm4sWpjwuQgEndO1EQ2X2RmDsplyDeAWLZ69yZrpnTp5PcRaNAt27A8uUkjvn5wB13AOedRzLZsSPw7rvAZ/XVMTduzPw8PTxc7I4kam8qY5AtBHki7M7XyGfR9PDYx+EKS9mYrCRGxi53kEkyBTdWx27Pw8Mje2iIhj6Vi9DAgZmRsFT9EAucWAPjcZY4AIIFKDu5k7h6ijtoPG7aAuhqOXWqIXW1tUBFBUnh2LHMtpmbCwwbBlx4If+XlVG5VFJCorlqFTBhAjB6NLd97TXgyCOBVq3MOXh4BCHV2GiK9XtXINN3976M3Znc7RFZNJVSJyultiilXlNK/Spg/WFKqYVKqVVKqbVKqZHN2R8Pj70JTdFChU0edkrzsJdY0L72CyWRMK5PIpx5eHhkBw2toxT2rIfFfzRkXhELHMB5IhJhnJxY5ML6ZcfqyvLycpI4gPPH9OlMghKJkLC1acNSBzk5LIlQXGxKKFx3Ha11tbXApEksZl5ZSUVVNMp9Cwu5nSSQAbiPh4eLVEK27d63u1uBGkMUPClsWewRWTSVUjkA7gYwAkBnAOcppTo7m/0WzFDXC0xFfk9z9cfDY29EY8ldqonfFvzcySbdi6+0lJ/Nm6kxP/DAhvfPw8MjNTKto5TuWU9l4cvEcm9b4MQyJ8ohF+L6HY9TiVRWZmL1pDh6bi7/V1bS1fKkk2hlFNfPFStI9uS44qp5+ukkbaedBkyZQkKXn8925s5ln37+cxLHSITrAWD9+tTn6LFnIVvkJJWQba/bXckd0Pisty1hlfSkMhl7QhbNvgBe01q/obWuBfA4gDOcbTSA79T/bgvg/Wbsj4eHBzKb+MNcPNLtm5NDAaxnT2DHDm/B8/DY1XDdINPVuwxT1ri17oQw2vsIEZTC42Hzg7h+9+kDTJvG/zk5JG2ybTRqrIHyvWwZLW+AKZTuWgelrfJyzjfLl9OSd//9LKcwaBD3u/de9mH8eGDrVu67fXvqa+Ox5yDb5CST9+Pujob2syVi01ra1bW5j9uS5LU5Cd4hAN61/m+tX2bjBgA/U0ptBTAbwOVBDSmlLlFKVSulqj/55JPm6KuHxz6FTCZwNyOeLAtzvbLTp2/cCLRrZ1yhPDw8MkM2BAJXaErnbpZJvJ3MBWFJmGzSZxckl2UDB3I+6NnTkLmqquSyKmVlwG23cdmmTSRoYhEsLEx2HZeYv7IyEryCAsboARRSr7ySZRNmzKDl7oYbSPzOOgvo14/bdXZ9ijz2WDQXOQkb53srmoPcpXIZb8mEJ81NLjNpP2xezgZaOsnKeQAe0Vp3ADASwF+VUjv1SWv9gNY6X2ud394XrvHw2CUQwiakLSwez14ubit9+3rrnYdHQ5HOBTrTNhYvNhkpM3U3c49RXJycOEnmgqDYPcmaKaRr6lS6atuxuJJAReLmolGT6CUeZ3tFRaxXl5cHTJxIJZGUXpGYOnEFnzWLxc4B7rdsGX/3728SveTmMiZQ3Ddzc0nu3n6b632m370LzUHu3DIgu2tild0VmbiMt5RFNChzb7bbT0Vew2SqPSHJynsADrX+d6hfZuMiAP8CAK11FYAoAB+14+Gxm8CemMLi8QCzXCbxhx4CamqA1at3eZc9PPZYpHJxbEjmTCmiay9zYVvc7GPEYrTU2RktZbuwftn9jkZJzoqKmCglFjMJVMrL+X/qVH67JK+yki7egOm/WPuKi7m+rIxzy8svAytX8jh5eSbpSjQKaM19haTW1ZHcvfQS+/TBB1zvHYI8XLhj3s0Qnam1aU8lgdnutxuzmO3EcE2BKMOa816lyioedD0ikeQs5k1BcxK8FQCOUUodqZTKBZOoPOds8w6AEgBQSh0PEjw/5XrsM9hdXgJh/bBjcVz3THfiFmFv+3ZgwwZu06lTs3fdw2OvQiaWtsa0YSOIMNoZdIuLjeU+1b5hCSeiUX569OD/4mJg5Eh+L1kCHHssyZrbRl1d8pwjrp5SzmHIEFrocnPZttbcLxYzgloiAVx+Od0158xh0pV16xj/9/bbnJN692Z7h7hBIx67HLvLOxAIfy5sZErumsvS15zXq7n67coNQcdtSr8a299d6R6aqfUyHqcSKhseUM1G8LTWCQDjAJQC2ARmy9yglPqjUur0+s0mAbhYKbUGwD8AXKC16N48PPZu7Ep3j3Q+4Jn4iQclXXAnpz59mOTg6KPpXmVbETw8PBqPbAohYclXxP0yKJGJu69t1Qg7hljxysqSt23ThglWxN3Sbr+igkQvHgfuvJPrbCvfPfW5tocMAfbbj+RuxgzOPc8+C1x2Gdusq2Ns3qWXAldcwQycHTrQu6C6mm3k5jb40nlkEbuby2MmSYka0k5zu4xmG7trkpVU/WrqNcn0XJt6zTO9tpEIlVfZuAdqT+NT+fn5ulpmZw+PPRxhSUuyfYyFC9P7gqdaB5Dg2fF4paV0ibL/r17N5AZvvcVkCps3Ax07pu+jUmql1jq/Eae3W8HPTx57CuJxkqZMauotXEiSFY3u7NqZCmKFE8JoxzKVlxs37r59OZfYkGQtYh2UdmQZwDi83Fxa9QDOPUOGAK++SjfRhQtJ+oYNA954Azj3XCZZOeQQzld33MGsmumwN8xPu+vctCvegQ05Zibvy2weryXb2l3Q1HNq7mvSHGMi3fEyPU6quamlk6x4eOzTaO5JSY6RaVmEsHWRSHLShUQCWLMm+RglJRSw8vIohIkW3sPDY/eCm4glFcR1UyxopaVU9kgClTDNdjzO7SorzXYSsyvzSW4u3SVLSsw847p7itu3uGAKWYzHaaGrq6Pb55IlLMEgyVQiEf6+6SYSvlGjgIMO4rmsWsW2DzigsVfQI1toCXKXrjZktsndrirf0BjsDtbTpsbkNfcY2tWxg9k6H0/wPDz2QrgvlaZOGG4wsiRSEBdM0chXVlLw++c/eUxfJsHDY/dDUCKWVLAzZ0pJAik/EFYyYfFikjipdSfHFHdvUQqNHBnsDioWxj596JbZp4/ZTtw36+ponZOYumiUrpijR5u56OGHuf0DDwAvvECL4ZdfcvsPP2zkBfTYY9FUhWemaIiCtaXQki6yTTlmS/S7seSuJV2QPcHz8NgLke2XSlBsgpulzy6p8D//w0nNC1AeHi2LVJaKTLeV7eU5b9eOro15eeFlFoTMzZiRbMmXjJqiFLLj8IT8CbkTC2PXriyDYLffvTstddu3A7/4BclcIsEMdMuX0/1zyRLguONIACdOBE45BbjkEmO5q61Ne/k89kI0VxZM2wU5mwrWpiLoXNwER7u6P02Nm9sV/d5VcXfNBU/wPDz2QIRN2DaaY1Kx69m4kOOVlxsyeOCB2e+Dh4dHMtzkR/bvTOvqudumI4ai4LHJ3cKFyYXQq6pYh85WBolrpm2pW7PGuHwKZA6ZMQMYNMi4iEvGzMGDmcRl9Wpa53JzGVP34oskblLzbssWYO1aHq+iAmjfHvj5z9l2Tk7wOXrsuQga15ls567L5LkJe9ZaWrC3EfRcu31truOGId31yYRY7arcBWHyTqZIF9/cnPAEz8NjD0PQyydsWTaPKbE4QLhbFkDN+X338be34Hl4NC/E6uUKbkC4IBU0X9jbhgm47n+xzNlCrZ2J86STaOWTvpWWmvi7qiq6b65YQavaffdxm+JiY9mLRkkQly0zNfRmzAB69QIWLCBhi8WAP/+Z/bjsMpZEAJh4ZdUqtt2li4n/69cP+OIL/vYxeLsGTX0XpdvftZzZ4zJsHDcmDs8V+oOeNbuNIOzquPSg5xoIP79sIBMLXbokNy3l1hh0P5ujPw1RvjUWnuB5eOzmCLLMBRXHDCpC3pCJIpWmU16aUo/KPb5o7eNxas6POirz43p4eGQHQa7UQe6TYQKs/A9qxyWSEgdnx+GJEGm3Y88fdmKmgQNJ/gYOpMvn6NHGDVSKosfjpoh5cbEhfMuXk7z16EErXG0tv+3zWbaMRPDee4HnnqOlr18/lm2QJCvvvdeYq+zREDTkXRQm7IZZUoKsUZIQKMySlomFLcyyZe8X1kaqc5VnpiVInnw3V7kB93hB172x+2YDmVh2g0h7c/UnSGYDkj0gmgpP8Dw8dmOETbphLx/7d0MmpXSTu62Rd7PcCfHr1o1a+f79GR8j7Xp4eDQcDRGI3KLkmVj4MxG+guYEEUAiEZIticMDgpOuxONMkJKXxzg4ALj9dtbGi8f5PXs2cNdd/BYlUUEB55VYDJg7l5/587l/SQmtcr/5DT0Gtm4FTjyR1sCrrwZGjCAhXLoUmDCB2TWvvpp9Vsqc+zffZHaNPRqPTN9Fqd51QZaUMGuU/Z6S/WX7TFwTG0J0ghQkYZlpxSI9fnzL1ocNs9Bnw23SPY69b0NIS7bIVJBlN8j6ah83leIr2whyb880u3Em8ATPw2M3RmO0R7b2qanHCdJoyXL5LF5MTflvfgMcfzwwebJx0WzXLvM+eHh4EE0RiMIs/EFCgwg8mQg74lpZWWlctauqzH6lpSRShYWmjVgMGDMGuPxyE2MXidDyVlRk2h48mEQMYPsFBSRrhYV0w1y1ila6ggIeI5EAzjwTmDIF+PGPSQ4PPNDU6lu8mMlXnnqKpPCuu5hB8447eJyf/ITHOvrozK6vR9OQybso1bsuyJLiWtNsC5/7nhKlBJBZBs3GWrnkfZjKJdSuJRmG5laMNpTIuOfdGLIX5BGQ6n9TEWTZLS83SqJUY21XI8i9PRvwBM/Do4XQHNqsprhZhE12MjHak7vUwgI4IbVrR2FrzRpq36+6quF99/DwIJrqFhSkqHEFz1gMmDqVy1zhK6wdW7iWuUH+Dx8OTJrE3zIH5eWxxMFdd3H51KnAtm10p6ysNP2pqOB3bi7j8pYtI7nLyzP1NTdt4jbdunHfeByYOZPnsWIF/8+dyzb79OG6m24iKa2rY6KVV1/ldnPmsK133mnU5fVoJqQb72HjUdyHxYXYXlZayveXKDgyJZthy1M9l0FExt3PdTl13TV3VQxakOt2qm3TxedmgrD4Rdv9O1tw71U0mpzpu6Fza2P6luk+rlt7tuAJnodHCyCbk3iQm0U2ETTh5OQkFz5fuJDC2PDhwDXXGMudd9H08Ggcsvmidy148ThJUteuyc9wkMDptiMCUiJhNOK2gCIuRvLsS206ADj2WOBXv2IsnNTHKykhAausNMvq6kwClcWLjdVvyRLWvRsyhO2OHk0yKMd78kng2Wd5Lv/5D/DggySVPXvSRXP6dOBPf2KmTcBn0WxpNPT9ELa9jEvbVVmWDR9uxktTjt8Qz5h0YRXyji4tpWLUziDbXDFfQWiMO2pj++daXLMtp9gIu1eZELtMYvMy7UOqLJxuzJ14U2QTnuB5eLQAsjWJh0082SSPboyP/LfTpBcWGqEvEmFMDAB88EHT++Dh4dE02BY8+V1cbIqMy3yUSJAQ2STPFkSAneeBIUOSjyFWvalT6SYJmLnuzDOZZGL5cn6XlnK9WO4qKkgai4oM6SsspCvo4MHJfSotJeGrq2PbeXkUljdtYlxe69bAxRdzLvryS86J27YBixYBBx/MdjzB2/Vw46IaYuVIldnVFt6DlmXaXqbbhilCMnHxlO2GD6d12nZ1lnWZoKnv+EzlkFRktaHHs2G7ULpxxI1FU5TnYZbExshrNokNi4mWmLvCwmRlWbaS8HiC5+HRQsjGZBYWb9NU8mi7UcTjwZowW/CbMYPC3JQpwDPPAO+/z3VHHtn4PjQVSqmHlVIfK6XWh6z/qVJqrVJqnVJqqVKqh7Xurfrlq5VS1buu1x77CrJtvU8VFxSkPY9Gd543xFJm77twIS0MQdn/bOsfkNzu8ccbEmcLtu3aUbC96ip+i3AHkKxJtsycHJI+t5h6WRldMQESQWlD4puOPZaumL16MS7v+uvZj8ceo8Vv2jTg//6P++flZXypPRqJIMHWHZOZIGj7IGHetZyECfxue6mexyALuDwPQftl6sIpionGvK/dbIuNnU8yIXfN4TLqXv9sWSwbK/+kO7/G9M+eb4NkNLuUjCjLEgnmMcgGyfMEz8NjF6I5XBaDJp6mTJZ2QLqdctp+kdiTvmQGy8sDxo5lYeFBgyjItbAA9QiAk1OsfxNAkda6G4AbATzgrD9Ja91Ta53fTP3z2EeRDaHJFvBSWTdcF0ogXKgVl8nFi41iRwQQN/ufHDdIUI5EmMmyTx+2JwKyfUw7nkcIZHV1sga7osJsv3gx2yopIfnr3ZuWD7kWs2cDN9/MZCoXXcTjlZWxLt5vfgPccgvwve8Bs2aZ9j/5pLFXv+WhlGqnlHpCKbVZKbVJKVWYfq9dC3dcurFcjXHzc/+HCc9A+sQq9pjNJHmKEDp550UijatlliqjbSawreX2c5TqmJkQhrD9m8tlNFWb6ebGdIS8IbAVUNmyJAb1J+ie28+CLKutzc5xPcHz8NhFaKhLSEsg6MVhvyxtodLVvkkc3qRJLU7sAABa60UAPkuxfqnW+vP6v8sAdNglHfPY59EUK7vtZmknjmhMtt3583cW/KLRnWuJyXJ3X9lf5go70UU0SusaQCteWRm/Z83ityS/KCxkjN7o0aaA+dSpjNOTY9ka70SChPDaa0kgEwm2U1sLtGoFnHwya9+NHg189hmwciUtfX//O9urqzPz6x5eJmEagBe11p0A9ACwqYX7sxPCCJjtHRKEhhCmMOHZtVqHtSXjy37nBSk+RGFgj++w5y6VS6drDQxDOgITllE0CJnU30tlDd3VyIRwZ9OqmGqsZAuZKOEEubnZOaYneB4euwgN8Xdv7ixaqV6WIkjFYowPsDX5tvAXtB9g9pXPHoKLAMyx/msAc5VSK5VSl6TaUSl1iVKqWilV/cmebBLw2KVoTJyNLXC56bTDLBSpNNJ1dSZDrn0ct5ZYWLvFxckWfjfRBUChGKDlragI2LjRuFYOGWKKnVdXU7AZNIhJUZYvZ/+kXl4kwu+pU4ENG4DTTuOy8nKWT2jThu6leXnc7+OPab17803G8l14IXDeeWy7Vb3ks//+oZd9t4ZSqi2AQQAeAgCtda3WenuLdioEYePSViLYCBJ4GyLw254mdihB2LZCNMvL+e1m47T77CYXCzs/wLwPxSJtu3QGnXdYH+1lLoJKGAUhk/p7zRXukSnc+5ZJttJs9isbLp0NIeWpcNVV2SmV4Ameh8cuRCYPd3NPqulelnJcSVog1rggbaErGEq77dpReNoT6uAppU4CCd611uIBWusTAIwAMFYpNShsf631A1rrfK11fvv27Zu5tx77ElK5uAUJr0FIJSQJyQKMq2TYfu6zHokYIphIUICVbcRSINuXlHDbvDwqjew5JR7nuuJibieZMktKTGKVsjL2LRIhQZs4ETj1VLpw1tQwcUr//mx3xAgKSCedBPz618Ctt7J8y6RJJH4nn2ziDLPlCtUCOBLAJwD+rJRapZSaqZTaia7uCuVTkMUraBsXqZQIcl/C3IBdyHrb5df1OJH23GfItYTZiYPcY4Rl47TP035mhSxGIsal031/pjqfIBdSdy5wjx+GTAhDKjfWbCOIwNv3K91xdwXpDIM7roDMFPPplHCiwMoWPMHz8GhBhGmBsjl5BQlmmVoSV6wItyAEuWnJC2frVuCLL4APP8zeeTQHlFLdAcwEcIbW+lNZrrV+r/77YwBPA+jbMj302FcQZGkI06rL+sak7nbbl/YKC5ksyXXjEquD/azbkDbGj+d2t9/OJAGxmLHe2X2uqjIC0vbtJIaybSLBoubidllZSWtfTU1yds9ly5L78PLLJIYFBdy3upoFzaNR4C9/YUHzDz/k8jvvBN59l/sdckjm1243QwTACQDu1Vr3AvAfAL9yN2pu5ZPrlhu2Tdg4DXoHxeOsWSjWNEnSYxOisGNJRsKqKlP0XtwhU5EHEbJtyDm5pCrs+EHWdbfumn38hjy/9rvV3SddHG5DkOm+TfUuClNcpfMcaEnYY88NYwGCSXmmsBUMdpKrpsITPA+PFkKYG0Ymk3RDJuKgF3CmE2iqAPYgNy2Ax3rmGf5+++3MjtMSUEodBuApAD/XWr9iLd9fKfVt+Q1gGID1LdNLj30B7nNv/8/ETSmT+cJ2fbM15vLbdeOyXcsSieBn3SZ/AAXrCRNoQROXNkmyIn0uLOQ+ffqQlI0ezeWrV3ObLl2MRU+E7s2bWeAcMNk1AbZ92mmsrVdURIJ6880kjEuWcJtLL6Vl74QT6ALarp0p35KtWJcWwFYAW7XWy+v/PwESvl0K2+Jlj9NMFIphJKmyEuje3YyBnJydx2yqrJh5eRxjEq8prpe2UG4fz24rrFi6uyxdVk57vIfFyaUiBEHHCLM4NiUO10ZDZI9M3EfD9pV+hymudhW5Cxt/Qcvc+diOBw5yk20s2Y5EOKeJsqup8ATPw6OF0Fif94Zq/oJewGGwXatSBVfbk52tdZPjnXsutzvuuPTHbC4opf4BoArAcUqprUqpi5RSo5VSo+s3uR7A9wDc45RD+D6ASqXUGgAvAXhBa/3iLj8Bj30G6YS/VPulmw/ChEU7llaOZZO7hQuNZU4SSsizDgQnbhABOxKhYD1ggGkzFqPF7rbbgMsuo5Vv2TJznEmT+L1hA9sUIaeqin0YOpTCf10dM2VOnmwshACPM2oU8MYb3KauDnjqKZZFWL6clsH99wf+9jezz8aNqa/v7gqt9YcA3lVKyQxbAqBFzsYmMUD4eLMRluJf3h9Sn1FInjtO7fg2ty/xOAvai/JB6iS6MasC990l70pxxxTFhvts2ucbdp5B18o936Drker5d6+1rXDJxCsnVd8yKT4eRExTWXDtY4fFDDaWzDRmvzBrZ6plQHD217D7ZBPvhiIeN14MTYUneB4eLYjG+LxnOhHb22dK7kRgS/eCcScvtzCy/M9Wwc7GQGt9ntb6YK11a611B631Q1rr+7TW99WvH6W1/m59KYT/lkPQWr+hte5R/+mitf5Ty52Fx76CICEh0/1SuQbJ8yrCqmznKmbC2gzqh0v+BgzYuZxKbS0JWSJBcnfZZcAddzBT5h130Op2wgnA+vXcRkhk9+7cf80afotgXllJQbtvX5ZEGD2aMYTxOEnj7NnASy8BRxxBy1zfvsDMmax5F4mYuny33GLO6bDDMrvGuykuB/CYUmotgJ4A/rdlu0OkU04Eubi5gr89ll23PTe+zR5zsr+4uZWXJy+XNuU7iIgGKTeDkqKIu3JDrVnucSXBi/tOzeT5T/fspzpuGDLZpjHEJayvjbUINsZKZt/boOudSuEepkwLuhYu8c4U8Thwzz1Ap07ZsWR6gufhsYcim5k25UVqu2iFTVzu5CXZNiVr5uTJ5sXakgTPw2NPR6ZCTyptujyvoriJxTLT+KcSaGyhZ/58JjspLORzL4Jvbq5xpYxEgHPOAa6+mklQVq3iPDN0KJfJsRIJuuRFIkyk4p77tm0kbSNHmgROlZV03xw8mKQuN5dWm3btaNGLRoGOHZlls2NHYM6c5LlrT4XWenV9fF13rfWZVsmXFoVt4QhCJGJcKOW/jCfbg8Qey67FxI5vA5LHfCRC4i9WOPkt7dox44WF5tkAdnbltF3ywpSdrjUvHVmxFaTiQipWxsbAPrd0ydPSEe/GWJ7kOje2r26/3PqeqdrK1PVXltv3K4iAhd3jIMtqqv6lu9ZBfRUZ7IorOFdlA57geXjsgch0AgEaplF0XVjCXBjsY+fl0Q0qGqWg1707kJ/fsPPx8PBIhv28ZeoGFQQR2hYvZqKRsWNp7cpkXkjlgiSQOCnbna2qiuSuosLUuxs8mHOFJL6IxxkzF4uZZBplZaZ0g2SUe+YZ/u/aFbjgAuDww5PrbBYU8PgvvkiyeNhhdL1MJEj2vv4aePRRxgP/9KckiZJc5bPQKpkejUEmVpWwmmyyfPv28HphQDLxSvX+E0uNu409vqqqkkleQ4qH29bwMLIibbgeLnaNSZeEBiHsWtjIlMAF7Wv30ya86WC3le6+hymJ5L9sI/cgqM10hCzsnrmEsiFeUEEWZteCHHSemZA7NyZaZLCcnMz6lg6e4Hl47KHIlNyl0oalEuKCJraBA5PdXgS2wDVs2M4Tt4eHh0EmRK0hShx7HxE87WNEoxRkH36YSUmGDUvdD1cgSrVNJEJSJ8cXlzoRVIqKSPaqqsw8NHcuLW+jRtEiV1BAIVdKIxQXM4PvJZcw+UpBAV028/OBtm25XSJBUnjXXcyyCfC85s0DOnfm/7Vrgf32A+6+m/8XLQJOPNEIsG3bZn5tPdIjU6uK1slWVBlHo0fzvrsuxWHKDpskuf0IskSJdU/i6yRmVI4nfbfjrtz3oO3mJwgjK7ZyxbUC2X0Kclu0r11YAqag6x8Em8ClShBj17ltiGI46L6nOoewvtr9CCPLmVj1wpa7/cvUHTXIdTMsuVBjk6vYXhF2zGdT4Ameh0cLoDGa+MZAXjBA6qDiIJeDoJdkJlrGRAJ47LHkZR4eHkRDhABbaEyVqdDdJ+gYeXl0ezzzTONaGWYVzIRc2nNLWVlyCQVbUKmsBBYsSLaMrF9P0nfggcC4ccx4mUiwnTvvZBsiXC9bxu+SEpKzwYPNtkVFjO3buJFunzk5phg1wIycAPCPfwBK8Xj//jfwzTdcfsAB4efn0TCEWS5cUhGNMtPqggUkdzNmUPkAJJM7uy13PNbVmTIK0q6UU8ikmLhNGlyLmuuG58bHuetTWYykxqO9v2wb9j5Ol3ClsYofuwxBqmsSVKogkzkiFdHJxLro9iPod6Zuj2Ek1t4mKKuq25egfVMtb8i9ced0GU8Sk5kN2ckTPA8PB81NShqr5bH3z3S9TGRA6gDiIJeDoJdkJGLiagTyQpVYgmgUOP30zPrq4bGnoyna2obuZx8zKAth2DFs4VqEWFsDHeQGla5/tiAipQtc9y6ZL9avN8skzkSOG4mYhCr9+zMJi6x7+GHg/POZBVOwYAHjfF96ib8XL2YMnlKMXTnrLPbr9ttpwevenZ+jjwY+/piunn5eyi5SER3b5c7G00/ze/x4k3lVyF3QuHbHY0VFckH01atJGKWsR1AJEbufdgkQl/REIiaTa1B8nD12xavFPXexhMViyQmI3DAHe7+wWnDus98Y6469T0MKcjfGYhhm9QpCYxReYZDxVliYXjnlZlV170+646RSjmUC9z4mEsZNXTwSmgpP8Dw8LDSVfGWChgp4tmUtXf9Sac6CNFWuhcC1EgRly5w+PVlbKvEUxcWMedm2jS+8tm2Z1MDDY29FU1xymoJMrAjpXJtkTpD1knzFjRmyIXORkLu6Oi4fMsS4urnCbCRCy6EI7rGYIWmzZ5v1AHDffbTKRSLcfswYziNynJwcWvDGj6cVaPBgYNMmHr+wkElbTj6ZdfOOOy75nHv0YDvvvGOSq7z3XmPvgIcN19vDff+4YzAvjwRc7rPsI4RIxmCYEC3uvFLHMBplmY28PI4N6Yfbhv3cRKO0Hsu2rsJEQhHsOo4CEfCDnhP7XAcONEXX5Xmzy5O4Vjv7ega1my35pCEFubOhkHLhEvdsFTeX6yvu4Jn2T64rkLq2aEOU6+m2C0qGlZNDJdfq1d6C5+GRdWRzskl3nEzgWtbS9S9TzVkmQuH8+TtrJqNRCmMSFC4vyaoq/i8o4Iv2/feBL74A3nors/P08NgTsavmi7Bjy3eqzHfSx1TtFBbSVS6RMEkngqwxkgylvJwKnZISI6wCO7uASWZNgEJsaSlLJACcN+w+SBbfvDzjFbBkCUlZTg6X1dWRHN5xh7G+TJzIjJn9+3Meknp4OTm0/L38MvDkk7T2HHkkCV6/fjyuj8HLDmxvD5f8JBJMwiVWlXicn/vuY3kLIduRCK23NiEKOo6dPMV1cSst5e/S0uSkPTbsd1xlJfsK7ExQw5KfyDnW1TGWVJ4F26onzxOQPvV+mNXOFf6ln42Zb6Qtl0hmShgbe7ywdZnE4zX2OEHXMh3cexLUR3uZO/bc9Y05j8WL6e0QibCWpyd4Hh7NgJYQ1sIQZFlL179M+u9aAOzJyZ7AwhI22MjLS54cJT4CoDXPw2NvRkvPF7ZwnQqphA8hV8DOAra9jwi9kqQiyHIjwuisWSbOau5cEzN39dVMhhKN0oXStbKIm108blzw+vdnopTaWsbhdesGHHusSZ6yfTt/H3MM97/mGhK8v/0NuPxyoFUrlkfo3p19EKFf2vdoONyxZAvVtbVGORiJ8H5Fo8lukePHk5xXVXF5LAZcey1JnowtV4i2lRVBArhYPnJyqHwQS19Qn6X94uLkZ8juoyu024rPoiJaEIuLjXVathVLorwr7Xerm6Al6L0eRBbq6nZ260t1P9y2xFU0LJ4wFRpCNtIRHfeY7j3M9HhB3ga2pbahCCPhqZa5+zcl/k4sj5EIcMYZO8tZjYEneB4euzmC3CvD0BC3AltTBeycjCVMmxXkXiD9i0YZA/Otb/G/nV3Tw8Mj+8hEsAgSquzn2U6RbidDEY2/TcLsecG28icStJrMnUtL/urVjCXZsIECvxQ+B4ww3asX/4tSaOpUxlaNHs3lL79sauZdeikJ4bRpXPbKK8BFF7Gde+4BDjoIOPts9uH009nmAw8A998PnHIK8IMfMInH888Dn37K9rOVjnxfg1urTKxLAqmBKOtzc/ktHh+VlfyIYFteznVTpgBLlyYrGu1xao8/1x3YdtMUBUQikVybMYh4lJfzIxZGUXZEIibBiiASIaETl2Q5jqyzn7Gg5anIjYuguMWw5BupSJVNHuwENvb6VGioZSrT+ShIsRyW6dOer9zzCopvbCghDetjqn3SJXJJdSybqNvjWpQXkliqqfAEz8NjFyEbD2wqhE2MmSRjAMxEGTQ5uy8l1+3FbrttW+AXv+BvKUbs4eGRGg2dHzJxcQoTKEpLkwlbYSFd5kTItevSiaBpW2WkXRF2bcvNmjVcL0lPrrySREqEfskqWFVFK0hlpUlkccUVXLZsGcsdACYT5tKlQKdOwAknkBiOHg089BAJ4S9+AbRvDzz3HLXfQ4YwDu+YY7jvN9/wfNas4bqtW7l8+/aGXXMPY+0Kc6MUElRRwTjLuXNNAh6xbonlzHbvlTH15JPJcXi2gsFWLIornv2Os+P5RGExYIAZd2Hp7ouLk+O2ZBt5z9nEwe6ze/72fzfZkPs7jCTIudqZaSMRYzkPu+apSJVduiQdwmSEhro8pjuGG/MW5q4qCoSgeEx321TW3aA+hJH+VH22yVhDrkkQgZVzk/kYYK3Shx7id1PhCZ6Hxy5AY7VLDWk/KFuZ64qZTsvnvnBdl5JYbOc6eK6mf8AA4KmnsnZqHh57PRqqJXfnk6B5JZVGXEoJyLwgLmWSzXDIkGTXtrlz+S3lB+xYPMAIs23asGxBdTVw1VXAyJEUwtatMzFytoCUl8f5IieHAu2CBSQGAwawrbFjSdTicVrf5swhCd28GVi5kla93r3p9rliBS1+c+ey3t0xx9DK17UrsP/+rI13xx20Kkqh8/32y/weeRC2IC7/hXjYZTJKSjimJBGK6xpoC+cDBnAsLVrEMh52bTq7Jl5x8c4uea6VLRZjbF9ZGcdKRQWtvkKUgs4n7D2Zk5PaAhcGcfOU+MKwd25Q3J3E9A0fzm/b1dW1/AUpcILWy/HSobGWKbeNdLAVy0Hk1z5PGV+pyK0tpwRZSYMIn5DoVPHLQX0OcqnNBEEEVs7NJu9HHEE57IgjGtZ+EDzB8/DYBbAntFRZ6prafiSSOoA5VbFPe+Kx3W5kWTzOwPEBAzghAUbbWF4O9OnDDJsA8P3v89tryD080iNM2HN/2xYGmU9mz062yAW16Qom4lpmkz87Pb0IHzk5XLZ6dXK7tgBqxywVF5Pc1dYmC1hK8bfrBp5IUAAvKiIhEJfJaJTzzMqVZt8TTmBR84MOInHo359Wx7vuYlKn888HBg2i1aWujqRSa+47YABw6qnsZ34+8NlnXH7ccQ24SR7/RZDlSsbB9u3mnSD3cdo0CtNBSojZsw2pz80FRozguvJyo1CU/ebMoeV2+3YuKyszcZSzZ7MPCxbQYtu/P4ni8OF03bTHt318V4lpC+IidDdUmLeTj9nKz3TX0X3+go5rK26CXE/TuTq632Fzhr2du38YUimqgpRQmWYET3cPguY4d650iWRxsSHwqfrYENj7h5F615vCvdexGDPMinKgKfAEz8NjF0EeYttvvDnaD9Iwui8xe58grVQQQZSXlsTViQbMjkno0YP7SvbMhr4YPTz2VdjPnmuhC3LtEWFh/XoSpCANd9Bzb+9r14wKEs6Ki/lcX3MNSxK4db3KyiicjxvH+UEEeoCWtNJSumBefDHj5ETIl7irWMzUswNI8oqK+FuI35gxzKa5fr0R0isqaO0ZNYrWu0svBX73OwpG1dVUNm3dClxwAd02r7ySfTnwQPa9d28eo02bLN7AfRS2y+S4cbSk2q67EhsnFmFbAC4ro/JAXHRtq7JkTLVr3QFc7ioz4nHgiSf4nZtLBcCSJWas20lQJEOr/WwExbuJxc89ThBpcsmbWMXl3ZrJO1+eR7kGAjvRmfQpVeFzm6C6CZBSub3ahCjoXN35IcxKGCZ/uG6W6ayhthIr6FoFbR9Ecl3rpsAm8GF9dI9pl5Nx+2HvH4sFt2NfwzD3ULHiZUN28gTPw2MXozFpfBuCMDeGsPou7vYSu+C+aBKJZBcrWwMm25WU8MVqk0IPD4/MYAudYbEprtV94kTjWum25cZKiRAiz3Bh4c5uk7KduGCKUFlVReJUVZVcSLiuLjn2qaLClDYoKSHhW7cOuOQSU1YhkaCrpJyrpJx/9ll6AcRidLd88UUmSunfn3XvBLEYicTVV7ONwYOBww8HjjqK/VqxgrF4W7awLl7HjsDvfw+0bk2r4Msvs50338z6LdxnECSkuhmV7fFcVsbMqqWlZkyVlBjlQVkZPxL7WVRkLLpCBkeMoMV282Yuk1p4kQhLYNhCu2TUtN93oliwvVMAs0y2Ly1lwh+xRgpRcMMgZNvbb08uC2FfE6kF2ZBESC4BlRIjU6dy7NvufUHWLbGo2qTSnUfkWg0ZYvppE5egjJuuMiiIpITJGEFZuTORgdLlFbCX23Obfa/DiLVr1UvnClpYSDdvGcNuP8SNWOKK3X7LPXATWrnH6dnTEzwPjz0WLWHZcrX0YVoqiWkIyrZla9Tsl6m0Ky/twkJus2VLs52Oh0ejkW3reVMQpgF3hQ/Z1hUM3Oc0Ew25PP9BNcdEIMrJMbFRALdbsoQkr7LSCNhBmShzc40lrrKSSVEeeID/JS5K3D4vv5yCe10dCcCFF5IoTJjA7zFjmHRlwQJmWfzwQ7rjXXophf2aGn6/+irLIvzyl2z31FNZ7+6VV0j8bryR/XjqKeOa6bNoNg5CbMJimGzBVwhRXR2zoNbWkszH48b9UhLq2K660aghcIkELb0AE3d16mSycMo76LrrjNtxVRWttpFIMhERxaQoL+XdZQv2kQjdOq+4guOupsY8A24YhLzvevRIdr8LitkL8o4JmofECiTHA/jMl5SwT0HJYNz2wgiE66ljuweGWQEFEqJhWxGjUfOut/sQRMpc0h8mf6SzCKZSVtuwCWym8lYQWXbbPOEE3gs3pEXIuBzXVmbZWYgTCV7HwsJgBXg8zszD2XhHeYLn4bGbIoyEZbpv0G+bpKXLrhnWputmIRg40BDEww7jMklm4OGxuyCVgLE79CVMwBByFyYYuO3ZFgTbVUmyFyYSwYoc6YMkVLGxciVdIyWjJpBMkkQ4luyYZWUUkJcvZ7ITIZVFRcZN8r77+D10KK1wL73EOUYEJfkeOZJJVx55hLF2Dz1Ea8bMmWz32GMZh1ddTXe9WIxuoVu2kFB06MD+jx8PbNrEY2YjzmVfhhtrCSS/Y8SNv7yc9+zaa7muuprb19WR3D3zDMeD1AETN1/AjMPWrY2w/MorLMUhlqrbb+c2sZgpqi7jWoRwISLl5cZVWEpzuO/BSITKBfFSsQlhEOkQEmoTPxuu66BtoXOPbVvVXAu+bSF127etaraSNtN5Lug+2pDyEdKmXPvp00n2gxRLQVbeMMWTWODstoL6Icvca2mTfWkvHWFzESYP2ccdPjw5wZB8hyURAng/JCOrXEcJdXFltcpKZg7e7S14SqmTlVJblFKvKaV+FbLNj5VSG5VSG5RSf2/O/nh47Eqkm1hTrZfJLpV7gd1GmAuDPekL3JeU+2JKFcsTpnWbP59C1Ny5fOm/8w7XybeHx+6CTNylGorGkkURDDJpR7a1NfhuH1wFDrCzq5Jo3UXwdoUpES7Lyii8FRSYdb17051u5EgzTwwYsLNwWFlJoViKQZeUsLi5uHfm5bFg+YgRppSBCEWDBxuh3hbAZf0xx/DcamtpYZE4vN696XJZV8ckGwDdV3/8Y8a0/PKXwLvvss2vv+Z6UUR5NAyRCO/tpk07C/F2Js3iYt77ggIS+USCCoLXX+c2JSUcA9Om0Y134ECTBXPWLH7PmcPxJPXzFiyglXfZMm4rSVVEOO7cmceePdu4V5aWciwnEsljK5EwceNuoiI5l/Xrg61R8lvCGWyBXiDHtl0H3bT+8p62LXepPG3C3s3Snt23dMosV8GRbnu3oLu4iA8fvrOVTc5JyGaQJdE9LyHUmSBIWW2fe0OVeLaslK5Qe9C+bgkZ2VbmVPsa2S7tLvktKDCZZ5uKZiN4SqkcAHcDGAGgM4DzlFKdnW2OAXAdgP5a6y4AxjdXfzw8diXSTTDp1sukkMq9QNqQmkFBGjIRCoMKpLruGO5yd1s3s5gNV9svQtsJJwT33cOjJZFtctdYi6AIBqkKMdtw3YKCLAOuAsdOMS/7SYyIHWdrzx+um5oIqCUlJGkA+zt7NjMnirAsfZD4EylsLscQ98xt24Cf/ITulg8+yOLjkQjdNaNRksvZsym8d+1q+j13LhOjzJhBF87160kyxJrYsyf7fcQR3AYgAV22DPjtb4FDD2VxdCmP4C14jYe4z0Yixh0wkaA1TWKUysp4z5YtMwm6Bg/m+yGRMHF3UhYhkWCM0xtv8H/PnqZ+opTUWLWKxetjMePaKQXOhSAIMSsoMBbjiRO5bSTC8Xn77TxW//4ck0DyM1JaSgvwJZcYl+SgREe2K6NNEuTZrqtLtkjaSlU7A608o0By6Yd0it4g98oBAzj+E4lwZVYsRjdW+xnIRPnlWqui0XCZQWSYVLH49nlFozvH/qdCmEU1k/MIkofcMgYNndODiHmYJVFcXeVaxuPGIiqJhZqK5rTg9QXwmtb6Da11LYDHAZzhbHMxgLu11p8DgNb642bsj4fHLkO6CSbTiTRMWyTrRaMfpCELc7UIQ1jgsttOkIYQ4ItY0pTfdhuXZbschIfH7gZX4GnovrYQlIll0daOu0kFRFCQ7WwsXmyEiuJik5wC2FlwlWdehGaJxZN5SwTxujqge3czV9nxOJL6vqTEWOLmzaMLZjTKenkHHgj07UuhPBYzMT4AhZy6Olr+pE9r1xryWF1NV6cePVjAfN06c965uSR5L75It8zzzgM++IDEISfHKKC++KLh98yDiMeNVU7cASMR4PjjTfxlba2J5ZT4uLw81khcsoTuu9JWeTkJfe/eJD0HHkhLsRAwcdu99loSE8Bk4LRdEVevppXwiit4LDtmVJQRgwdz3EmcJ8Bxaj8zJSUkhe3a8TzEWidj3C5CLucg60XhIIStooIKC/v9etJJPLZkoAWM67RkFQ1T9AbV13NLnog7ZZDFD+Cxp00z5y9IN//IdciE/KRzkXSVY3bb6doP82IAwmsehh3X7q98i+I8ExlG7pNtxU1lDZT5UDISx2L8H4/TGi3unE1FcxK8QwC8a/3fWr/MxrEAjlVKLVFKLVNKnRzUkFLqEqVUtVKq+pNPPmmm7np4ZBeZCGphCJvg3InJzohlw51Y0gUaBwmprhDpuqnYLmDiWrBiBWNpLrvM9MPDY29GQwSeINhCUEM0125WOik7IEKs9E22Lyw0/ZT9hRDagmtpqXEri8dpgZHMmHZ/e/Sge93IkaYdqXfWv79Jc19WRgF7zBjOVVpz+9NO47zVpw/bXbTIHKNfPyYaWLUq2U1z/HiunzSJ5CAaJYHo04fCem4ut+/YEfjLX4B//Yv9rKgAduygi+Ydd5jsmT17Nu6eeRgSIRY8sXA9+yyJ/PPP8x7268dx8MwzwOTJ3CYaJWnatMnE3uXn814OHmzu+/btJP2uFWzJEpL9bt1MrUZJojJxolFelJbyftfWmjIOlZX8lJSQ3MTjxi1QPGLEtVCerXXruJ3tIi1xqHLedskRgSgb+vdPzuoprpixWLLLtSh43LhWl9xdeSWvjV3uoLzcPMNyLYIUtm7W0yCkmssyUU5niiDro5spOKx/tlxik6nt25PnwHTHDTqGJJTp0yfY+ymsTfmW+TbIGijfPXqYUhbRKD0V8vL4TEmW2KaipZOsRAAcA6AYwHkAHlRKtXM30lo/oLXO11rnt2/fftf20MMjA2TjYbTbCnLLsF1C3JeIu7+dzjmo/p3b7yAhVYTA4uJgX3HRVIk71T33MEtdZaV5gW3d2uDT9/DYo5BNgaehx7WPKZYMOxGCbZUTSz+QLByJYChWjpwcU1dPXN369985zkaEaHtOGDuW+y5ZYrYrKjJukosWsXC5rWGvqzPW/0mTSMbuuYdZMvv143Zdu7J/0SgVSHffze9EgiRi0CBu98UXJHqbNzNO67jjaIG58UYmWcnNpWXn2GN57CeeaKabsw9ALEVAsjvwOedwnG3ezKLky5fTartuHbNfinUkN5eKwJkzSdTuusuM4YEDSRAnTWIG1MGDOS4kc2f//hwbQ4aYUj2iaBSrs2Th7NuXVmBZZytGxGqcn2+OW1XF8WrX8bv0UpMMSN57ubnJLpViKSwvN8vlHZqXRyJrPz9CImxSJvu4bor2e9q2vMl1l8yg4hItqfiDEjiF1ZazjxXmzSPfQX1rLFLJL5nMqbZr5cCBVDKPG5e+jzJ3BZ2rmwglHVzy5mYcFZlOYjLLyzk2bblLEvXk5dHDIBvvk+YkeO8BONT636F+mY2tAJ7TWu/QWr8J4BWQ8Hl47HZIpU3K1JSfCWztvHsMd3IN218mvFTuY26bYduVlycHSrsuYDk5fIFeeCHdpgYMoFAFAF4f47EvIJvkrrECk2j9bWu+CHP2nABQkBbNtLiDCURQFBe8Cy+k0CQFfm0LoLi9xWIUXO66yxQtHzSI3xUV/BQUcJ7o3JnCTyzGWLznn6fwO2UKty8qomVt5UqTjXPYMM4r4sqUSDBWZcECkoaFC4FbbwVeeIH17vLzaV3s2pXWpOuvBw46CGjViuUU3q33LTrooMZd630VtiBbWmqsXfb6YcNI6jp14nugf3+SmIsvZvxkLEYSLvXcams5Pt54gzHbMha3bAH+9Ccul3Eqrp/LlrHdZcvMce0kF7alWlLauygt5XFHjWJMn1gW7dqQ8qmuTiYNixcnJxeqq2NfhGgBO7+vRUESiZiYQptE2JYeW9nqWqikn9K+WO9s2OTRDqkQBLljyzZBCiuboLj7posbbsh8ZpO7VHF7tgeCfY1tjya7n9L3oHaCCK8oL+zjhMG+L0Eusi7srKyiGJDYw/JyzokPP5yd+ODmJHgrAByjlDpSKZUL4FwAzznbPANa76CUOhB02XyjGfvk4dEopJrIhBw1xk0rzA1TJhT7JZGJlSBowg7rl03q7O1cTZ0dIyRB4TbJE0Hv2mtNTMt//sNvH+Pisbcj3TPfUAEnKKFC2DwhcAURe76y5xD5Hj7cbC8WkOLi5LkiGqUFZt06WliuvJJudvPnG+Hc1nQXFTGb5ciRFKrFite/P90p77mH88arr7IcwosvsnbZLbewraoqLqusJDm03dQkFf7ttxsrzyWXkEy0acP2e/QATj8dePRRWoymTqW7YK9eLNeyYQOFqX79uC/A4tgemcEeS7EYCfiCBcatNh6nC2YsRtK2cSPd5e6+m2nff/c7Ls/L43185RVadDt14rIbb+Q2ItheeSUJYpcu3G7tWo4TsQivWMExO3w4t7cLS4vQPns2s3C6hETeX9J3ybwplm6Jo5NnUZQg8l8s3vJ/+PBkod1WiMoxBbEY3UZjMWNpt0ly0Lte2hI5Q5bZtd7kN8BzGD3akEebfNikxs7wGTRXuLD3lW1TySWZEEB7W1cRFbad9CWofSHRdr9shVYQ3DhA11spVV/s0jX2Me1zkPnZLv0C8HmQeTESYT9XruQzI0rypqDZCJ7WOgFgHIBSAJsA/EtrvUEp9Uel1On1m5UC+FQptRHAQgBXa60/ba4+eXg0FukIVlCChEwEv6CCoGGkLl3b8qJIlZbZ3V4mPXfidl8Idh8k7sK+NtEoY2o2bqQW/auvuE5coVoKSqmHlVIfK6XWh6xXSqnp9aVc1iqlTrDWna+UerX+c/6u67XHnoJ0AkxDBJwwuK5WYZpz95kUoVCe/zCXLdsVTQRXsUKsWEFStHIlhdg2bWgdmzbNZH0TxY/tkiSWmdpaHnP9eloCo1Hg3HPpZgdQ0G/XjjFXjzzC4uQFBbSG5OdTUO3Zk2RRhPAJE4xCKRYjYXv4YbZXUkJCkJND690PfsAC65EIY/Ly8nisBx/k9j6kP3PImEokKICOGWPIvAjbX39NK25ODl1hly9nPORjjwE330yraiTCe3711XSfnDeP92zzZuCUU4yVdt48KhMl0c5VV/EYU6aQWNq17srLOdaef95k8EwkOG6feopWESFZYqErKmLbV1xh4uNsgmFnnhVlQ12diSkVa50oRYR4FRcnC/H2M5hI0GqYSPAcwuYFW1EjtQSDip8HvZ/lPq1YkWzRtK15tveNnKPbT3eusLcDkskm0DALmQtX3ghDEPlyS0PYx5ZvW6EV1scgQh3WB3tfOy4ziBi7RNFud+RIxozKspISKqsuvpjKkaaiWWPwtNaztdbHaq2P1lr/qX7Z9Vrr5+p/a631RK11Z611N631483ZHw+PpiDdA+8SsHSCnTuhusvCjum2be8r9VZEQAtqw93P3s5+wbkumbYmMujcTj2Vmv4NG4Dvf5/LdoM05I8AODnF+hGgW/gxAC4BcC8AKKUOAPB7AP3AjMC/V0p9t1l76rHHIcydKdX6dO3Z8Te2y5JrDUinORcLhNsOYGJ87Vi4RMKUT5BlhYWmsPkrr5BMLV/O5zyRMEkzIhG6ut1zD5/5eJyWP8lsefzxJFp/+AOtZ7/9LWNOli6l8NqnD/DnP9PaMn06Lf/338/9rruOQk+bNiaOKRqlS+bMmSRtjz8OnHwyXUrt5BtvvcW+v/km+9unD/upNfuVac0tj2QS07Ej710iwSQ8kizkootI2gYNMtajNm0Ym7l6Nbe1k4M88ghdam+8kUQ+Jwe45hqOkREjaIWSWntCjurqjFunLC8u5rLnnjOJhhIJksjbb+dx+vThMSUWVUoznHMOtwuyfkvmWckCOnw4hXCxlNkugTbxsq8ZsLP1fMKE5LGXyg3QfqeLK2ZDFM4uCRHYViW7r277QjLthDKSxMVWHqVKbJJOCZZpzF3QeQfdt6D9MpmD3XOVZfZ6V/ZyE6mksgYCySVlpG+imJf5/3/+J/N3Riq0dJIVD4/dBo3RsqciWw1Jee5qpRpCDIPcCWz3kqD+bt9uCrS6fZR2JX2vPXG7dWLsNuNxCm1dugBffsl1EuvSUtBaLwLwWYpNzgDwaL2yaRmAdkqpgwEMBzBPa/1ZfRmXeUhNFD32UaRT7GT6ora17e48EmQNSNWuCG8iOLr7iXWivDxZKBNhMpGgwDFvHgnTwIG0iC1fbiwqkQiJkp3F7/jjKXjPm0fLyNVXMxlK27b837cvSeO6dWzHzsx5wgncduJECt9jx9Lyd8cdVB4NG0biMHUqXUUBkjXJYAiQENjWiUiErptffw2cdRYtdg89ZOpMZaug8L4AGUOJBIuQS1zmk0/yfh9/PO9Hly7G7UwK3efl0SK7ciUtfH36mNp4RxzBWLt16zg2DjuM4728nOOta1e67k6dyvauuYZt1tbyGLfdxu+NG7nN8OFMUrFgAfu1ciXHxaJFVB5IzNOHH9IqKOcm7zCbbBQWmnp5oqyUZ0bei5GIWRf2bhbiIMK9xA4KWQJ2flcLEZZ2w5RILoIUzmG13WQbeYbF/dpeZ88lcv5yfWQbN+YslZIrSLGczi3T3T5seUO9qGQbuffuuYZZDIP2c/sQ5EEl4yYWS56PBwww2WDLy4H33mua14fAEzwPDzTelSoTstWQNjLtS9iEIsvCiqTLS+u++5JdXML6ZKfCDsvGKW3ecw817Vu2mOO2bZvRJWhJhJVzyaTMCwBfxsXDoKEWO0Eqy1wqocwmZ66m2d5WYLtuRyImNkUEPNmvrMxktxw1ioL25s204InlIRJhYfIVKyi8v/AC+96vH/Dvf/N8KiooaIsF5LTTaJETYpWbS6G9qor7SRF1gNuLNXHuXH6WLGHc3L/+RcJ26aUU3qdMoQvg4sV05dy4kcc8/HCSxk6daHXavJmC80cf8RjZKii8LyEvj0JqQQHvkSTHkXGwdi1d8+fNM7UQEwlacHv25JiJRHjtxfrzyCPGyrtjh7FklJSQTGzcaGrRCVav5r6tWiUvnzaNBDQWI2mUEgk5ObQMrljBMfCb3wA33cQxCZjnTr7lHawUXeaqqszzZhOaWIznNGtWamIj7p2SZbOkxMT7AcmxgbEYM4j26rUz0QKSLfCpLEz28rD1olQaMMAUSHctcS7BDJrfUskv9rogxXMY+WsKMpXpxMJZVpbsImrPxy7sElFB2cftY7tEe/RoUz9S+llVxedJnovPP/cEz8Mja2isYCb7ZquNIK1PJvva2iRZFjZp2tm7goRCG+KKYWuugmJ58vJMYdlf/MIkWNgNXDSbHb6Mi4eNxpC7VJa5MDef224zLpK2hcDWxoe5GUk/7eQQNtkDaDErKqLQXVREa0t1NZU4ZWW08C1bRiHnwANpmYlE6Lp39NE8n6IiWlDEAiMxeyUlFLilFllhId0tjz+ebqK1tRTCa2tJEFes4O/+/YHXX6dQfsghwJlnkmycdBKF4dpaksZu3djO8uUkGj17knS8+SbwrW/RKgRQkPLIDHa2wOXLScil7mF1NcdPv34saZCTQwIWi5HkRSK0zJ50Ei1pU6awjTlz2PYFF9BF98c/Zlsffsh2586lMHzJJXTPnT6d1rQTT+T/5cspMC9dyuMvXszkLJMnAwccwHeSWEYAY51r1459WLMm2RpnKzEHDuT47tGDY7hXLwri8ryIclSSxkiae6mlByQ/y8OHm1iwaDS5LIMcz46rmzKF8aJiAZT2XAu8/ZyHWbFkPgCCFUgSl+iWWQnyTHKTOcm3PUdlEnfnwpVhwkiq+z8VeU1lOXTbWbMm/Dralli7XTuUxYareLeP3a6dUZrLvRalu5QP+da3GidHuvAEz8OjHtl4oJrShqv1aYgGR7RQrjYpTItl18kSodCdxICdXwYS8B1UFF2K1z76KF/AQOZ1ZFoQYeVcMinz4uHRaMizli65QJCFPxqlq9pVVyWXPrAtBHYhczmGJIWwNf8S1yNkT8ociDC5Ywf/L1tGLfMrr5C4SSySuKhFIhTAa2tJoJYs4TG++YZCy5gxJvNgPE4CYJ/jqFGMx+rZk1kwzzuPwn7fvnQFXbuW7fXpw7ipGTNI9vLyaO0oLjaWG6lR1qcPSURdHfvUqhX3eeUVHvdQ+wn3CIVYeSSG8+WXSa4uvZTWtTfe4H0Xl9vcXFpMt2wxVtJEguOjro77KcV2nn/eWI3++U/g//0/k3HzxBPpbvnSS7TEXnMNrWXV1SSSNTUkdwBJ/bp1HOsPPWQsImvXckz37k3XXkleEY2SQAFUXthxdPbzMnAg+3zffSR5rtdLIsFrIedZWJhsBbOt86mIgBw/kSDhDOqPvZ+dQTOd3GEnjAm6t7Yl0c7sGVQawfYgCMrM6Wbvdc/XLv/krhMZJhZL3j8o0VRQMjjXfdI+xyDyKMtFARFmpZR2baIs+8t8ai+zjyPxdfYxI5FkJZxY9pYsobfB+vVMDNRUeILn4bGbIJW7ZyYIyuSZyhooE2p5uSFt7sQJJPehuNjEtgikFpLE4HXubNy49gAXqOcA/KI+m2YBgC+01h+AGX6HKaW+W59cZVj9Mg+PJiOVS6a9jSDI/UmsAAKxEBQXmxpOiYQpZG6nV7c1/+L6JtuvX08CJ+Tw3Xf5XVdnLPUSIxWPk1Rdfjl/jxnDOWDjRgrf8+dzLujbl5rrIUMoeC9ZQtKWSJg430iEiVPatQNat+Y+3bvTetKtG2O77r+fViKAfWjVitbBu+7iHHbIIXQVjcXYv9atGb+3YQPLM5x5JgX1/Hy24T2qM4NLRK6+mmMtHufvO+5gMpQnnjBkat48Wt5ycymszptnxlFlJe/pCfU5i1u3ZjtjxwIff8x7NnAgLYRPPkkCUlHBbZct45iNxTj26upIBPPyOP5GjKAVb8kS7jNuHPd76SWOv2uuIcmLRDimpE6jCO5iUZk2jeRTsn126kRrtq0cscstrFtHZUIksnOm6bC4vNL6N4pNnmwrmihZwhKQpLOk2e9zISJ2WQQ55sCBvCdCRISICXl0yZvMK3a/5Nt1dQ1CmBupbdV0SziJcsEej0EyT9C8apPHMFJou+XafbLJuUuoXcW63NPbbzf3VuLr3OQqxcUmGV5pKS3b1dWmXW/B8/DYyxD0Umjs/kHLgix5QtoAM2nLRAska/FkkpPJLBbji7Cmhi+IoiJmTZMsdaLRbSkopf4BoArAcUqprUqpi5RSo5VSo+s3mQ3W3nwNwIMAxgCA1vozADeC9TxXAPhj/TIPj0A01OKeKlmKKwgG7WdvW2qpHtwiybKfEDtbUEkk6Jo0d67JMCiu1vE4XSMnTzaCh2wTjxv3yZwcCjRLlrDPgwdTwM/JodB7wQWMu4vFKFjPmEFXyyuvpGBdWcltpk9n+v3t2ymon3AC55IePRg7l5tLy8+0aXRPffFFll7IzQUuu4ykUmrhbdzIvitF4b9VK7qOv/km5zapf7cHeBi0KFwiY5cg2LqVxOfppzkmjj/eXO/VqxkjmZfH+/6zn9HKlZPDcfPssxx3Awdy2ZVXGova6NEmw+o339Ddt3VrQ+yFnM+cSTfGoUNN/Pd993Esy/Nhv39qatif0083pKdNG1qii4qMhSuRMFbhU08leV25kv0cM8YQgW3bjNvxyJF8btatMyVAXEUpYMijKE9efpnXp7TUXFvAWNHk2ofVso3Hdy6L5JIulzDJfbUtS64cIPu6BCcsg6Xdpms9c8dSKjdS6UtYYqmgHAdBCm13uVxTW7ZxSWEikV5B7s7XNkmU5cOHGwUIYOLrxKor/RNvi0SC133QIFqI33iDz8tBB+18DRsKT/A8PLKEhgh46doJS2iS6fGCtGMiCIaRPHsSEw1dImFekkL4Egm+2GbNonB25ZWMiRkyhC/GkhJOaEDLpyHXWp+ntT5Ya91aa91Ba/2Q1vo+rfV99eu11npsfSmXblrramvfh7XWHes/f265s/DY3dEYi3sq5U2Q1lyOI8IhQOFQSJor4Inme8AA44ZptwHw+b38crPupJOMUC61sw48kPND//7cvk8fU04B4DMejVKAfuopLhs2jIJ3q1Z0kTv9dB530iTgP//hOS1ZwjYKCihAd+5Md7zzzqPV5dlnWS7huutoPRHPgbffBn7yE66fONGkf9+xg1akNm2YifHtt9mnX/2K37//Pd3/RCAGGOvVXFBKjWu+1psfMqa3bzeZ/1atolVr9GiS/v/9X97nNWtIyg4/nPsWF3P5iy9yPD3yCHDDDbz/OTksi9C6NYXcp54yWVgLC0kEV6+mwHviidxn4kQS+z/+ke+bE0+kdVcIek0Ny2SMG8d+RCJ8DwEmA+Zzz5m+Pfss+zZggInBk3IPtnWnvNwk+1m3jlYWgP28916Sz8pKLsvLo3uxHNctNySuezNmmNhEcWWW0g/yznUtb7b1Su6NvKPlnGR5UNIP6Ysod+Sdb8OVA6QtIaT2vCHtuHOYJEVyY/Ds+E3ZPwhh64VYBSm9g+bcoLnYtmLKNZIMmG5NP/fYrqJN/tsum7bcJtcaYJ/btePYtEtVSA3CaJTjcMUKzpvduwOzZ+8BdfA8PPYVZCrgZSIApnNvAIITnYT1RdwyRGNoT1YyydlFWoMm7blzTbHVSITayjZtTHY8+6VQXg5873v8f+CB6c/XwyObyIaipaFtZPLMNvT4rlAjAoW4NG7bRmE3kaAALFp/O1GDq6mWxAyusLJmjbE8xGIUQiWpRCzG53/qVArSS5aQlInWuX9/Cqu5ucAZZ5g+RKMsRj5yJIX9vDxaXHr25HH69ePcsmQJhds2bSjg/PWvdJ277TZm4T3iCGrDJfPmKacAr71Gq+Exx1DjfffdtB6dcAL7fe+9tMrsvz/JZZ8+LHr+q19xDjziCLb18cfZuV8huLBZWweglMpRSq1SSj2f7bZl/KxYQeE0L4/E7uSTTRxV27a89l27cky88Qatqc8/TwIlJOhvf+O4mD2bmSvvv58xerm5JGB5eUbY7dHDuCpKkp9Egm0fe2yyYqGsjBbEF1+kQLxihXmHRSLGmiwxgUOH8p1000102503jxbqTp04tisqkgkZwO/Bg/nOE0g/27TZmSjZSVvkfSjv4EiE11BI44gRHNvDhpm27OderFk28bSJxJAhptC8ndnRJiWustgmabYC1lbq2ve/snLnLLt2Ozbs9uz+Ll7MZ9Cde+y2wjJ4usd05ZcgBZg7F4vLtmQOt2MdJfGTW87APr4dL+de/6BSNEHXXuouyvxsl2KoquL1AdhPUdw1FZ7geXhkAZlolxqj5Q9qSybMVH759kRTXm40ayeckKwdFM2pxN/JBGxr6HJyTMY7ezIrLjaxCzbhrKkxgpOkI/fw2BVo6jPmttFUi1xDrezu8aVdV8gZP55a4WnTdo7FE21/PE4BuKyMwlNQAqYBAyhsX345n+9EggLdqFG01hQW8hmXlPZ2soGVK4FbbqGAXldHsicCu2j9pe/TpjHBRXk5v1esMK5v/fuzzX79aK1Ztgw47jiSzhNP5JyVl8e+Tp1K98uePSmoX345Cca115LYFRbSnXPcOFrnRAgXchiPc73U5zzqqPD7s4fgSgCbmqtx211u1izen3/+k/duxQpe79de45x/77281++/z//FxSx8fuutdDlLJBjfefLJJFulpUbhKKUUnnyS7rrnnWcS9/ToweMffTTHwY9+RPfN/v35efNN4B//oPVWEoXIu23BAlN0fcIEU9bg0UdpKRk4kK6mBQWM3ZRxLu/CggKSgFtv5TMppRkiEZIyO3NmPM7xvGQJnx+x1thx6PE43UljMV4LeR4lYUpQHTlxce3Wjf9dC5koZ2WZnaRElruEVdpxFbq2S6vIAbIsLNxC5knXqme7oEtGUrd9G5Ld257Lggic687qxjfKuBHE43T/FgJvK8/s49nkzq79a7u02+cjv12XTiGEdt8EYtEV0i/HKSzkPPb881Q8ZCu0JSOCp5Q6Rin1hFJqo1LqDflkpwseHrsW2dCMBCGI3AUVyUyl5bc1P6nIoe2jnqovMjkNH27Sk4ublZuFS4ig287w4dxPLHViQUgkjJuBnFsiYYoQA76QsMeuRTYsaWHukQ1FKrLpkkj7v2t5s+N4hKhJ30Rzb5dKkBIGc+ea5zkaNanQi4u57dSpXNezJ9cLGYzF6H5n18ls04ZWwnbtaFXZuBH45S8pzHfrRgvHihUkZK1bm3MUl/CxY0msAOCHP6Q1RCl+4nG6zAFMglJbS0vPF19Qo796tbkuSjF+7le/olXo//0/WvK2b2ftvauuojXp/ffp8nnyyZyD+vTh8deuBTp0APbbj8eTWLxmQnel1JcBn6+UUl82tXGlVAcApwCY2fSu7gx33ObkMLvlO+/wfouV7ZBDeF3r6vj7m2/oDjltGknQzTfTRfPWW5nopnt3ujrecgvv1Xnn0aJ2660k9T/+MfDb3/K99OyzxkI1cSLvZUEBx8S0aRz7X3/Ne9+tGwX4W2/l2M/PZ3uLFvG5WbaM47GigrF0Q4dyPN95J+OdfvQjLhNIUqFx46hkGDo02SVYXOsqKw2x1JqKClGOACb7q22hlGRFoiC1r7WQU3l28vIYb7h6dbAVSRQ6NvmorEwmITb5cS1r9rHFAhc0d9nlJsL6Ku7jrtVQZI3hw5O3cWWcIILrzud1dSZjsJ3REtg5g6kce+JEWkvt8xOLqgu3aLt9bYOum/vtWiCDUFfH9sVtMxqlN0abNsBPf8pnaFda8P4M4F4ACQAnAXgUwN+afngPj12LbGj4U7VtI8gXPRXsidHdzxU6G9oPm/DV1ppJ0NZC2ROwe53s1OpVVSattLiniJAZjVKAe6++oMA772R+/kFQSp2plPqfprXisS8hG26SYTEfDbXohdVhEkEM2FnTLvFvicTOMTiSLMF2KbIzZA4YQIG4pITCsNSyc/e1LSPyzAO0iLzyCoVoqc8lSSgk3knmkA0bGIN15pnG/Wj5ciO0xOMUqm+7zbimiTfAypV0nTvhBAqukydTKB44kKn1hw+nsDNuHLcToalzZ84pN9xAy1HPnjzGtGmM9xs+nJaRn/+cZEIsKHfeSWvRwQfTEvTtb7O9Zs6iuU5r/Z2Az7e11t/JQvt3ArgGwDdhGyilLlFKVSulqj9pwMmKACzvpFiM9+z660mKRfh96y3e62XLaA1ds4b3YdgwXvfp07nf6NEkP0qRKN19N0lVSQmVAvn5HI85ObSo3XknrRlt2piaj/Pnc3xddx2zc06axGcgP59uoQ8+yPHbpQuPvXw5LbwSu1lczHFcV8dzuvNOKhKWLeO5DBuWTLiE0CxaxPOqqDCKEoD9kpqNFRW0Fu7YweMWFprYvO7duV7i5YSwipumKFzsmDtxgRYlyV/+wmdb3PrE60Z+uyRRPHYEYcTPTSAi7dvyhn39XGJTXs7rL311vYvcOU+WuR5Itrxhx+u5pQ4AM69JTUFbXgmr4ydzXlAIitu+bO8uD7LM2c9Haalxbx8wgNvJM2S3ZSvS8/KSs9MCnP8uvHDXJllpo7UuA6C01m9rrW8ANUceHnsUsqHhD0Iq4uj6zodp9N1g6qDaN+mETjlGWICuuJb06rXzNXCJoOtiISRPlpeWmkxQvXrxZR6PU7v7/vtsJwt1v38GYJVS6lWl1F/qBZauTW7VwyMDuK4+6ZRDQcoVWe7WYbJdq+Q5kyQMIkTKnCACimu5nz/fWBASCbrOzZ3LdSI4ijLHza4nxE6W2WUQ2rUzAt6cOXy2pXgzYCwRv/tdsgCzcqUhnQA10Voz1mn6dArTOTkUtE87jccoLqa7ZWGhcRHfvJltlZfTtWrsWLoGbtxI9z4prN22LYXftm1pKTrgAFqFfv1rWuoWLgQ++4zE4oc/JFmcNi1ZwNoToZQ6FcDHWuuVqbbTWj+gtc7XWue3b8RkLHP/ihUkS6eeSuK8Ywfwf//HTJnf+x6va/v2dH0sKiLxe/ttxrZJyY2cHI6Fu+4y7pgzZpAADRlCa+ukSSRoVVUkVqtWcYzv2MF71qsX4zxXruSYmjKFCgLburJhAwmZWEnE2jN3rim1AJB0Dh5snpNYjH0U4VzIQ10dLcPDh3Ob22+nu2p5ObcdOZLrBg3ie69//2S3v5EjTXgDYMZ4PM7ELSL0i8VcrrdY/IYPp3UnLy/4nW3XuJO2gGTvANlWvu3lNlwZpbx857hAuw+1tXQ5LShIns/cOrvSthzfnsdsrwWZF+1YOdcqKNfFPSd7HhUyJgRL/tshKHJe9npXlgpabl9D6euCBVQg2W6fiYQZe9KWHNf2bLLPoX9/ugqLF0RTkSnB+1op1QrAq0qpcUqpswDsoVOjx76ObJC7MGtd0ARsTzypatLZqYCB1Nva/bAnoEiE7kiTJiUH6rraKUnhm+rcXA2guD/EYiYhQ0kJJ6ylS5kmW2oKSZmEpmbR1Fr/SGt9CIChYB267gD+opT6RCk1u2mte3hkhiCtc9A2YQTQVpLIiz6oTILrHhQkCNltinAn1oKuXSl0ibtlRQUF2YoK49JkE7V43Ag469fztx2nkkgwtunCC41rWiRCy5rEU9ma+h07mPBi6lQK4Pvtx7lo6FAK7itXUqCvqmKSmPHjTfbCF1+k0N+lC7fp1o3ubbW1JGszZxrL3MqVJI9jxlDTPW4c8Pe/0yJ3//1025szh9f7j39kXBRAy91ppwFffcX/4mnQTPh3M7bdH8DpSqm3ADwOYLBS6m/ZalzGllgWBg7kHL9lC++xEJmnn6ZL2Xvv8R6uXUsFwYQJJH+bN3Mc3Hor7+lRRzFmbtYsk4BlzRoqJqR2mNS9e/hh4PzzacXr2pXkHmC/+ven8LxjB626kQgth+XlJEN9+lCRGY8bhUJuLt9XgweTWE2ezHH6+OPM6nnOObQIL1hgyh9s325CDhIJWv1ee43/xT1TrldeHi2TQsTseDQR8gEqLMQTRspDSG1AcVN0FTliEZdj2dY022VQjltSwmthl1CQPotVcPbs5HW2t4D9TNsEy1U4DxtGcm9bomzCElR7TtbJNRULWHm5Ibpyvq7FDwhuT9qU9mSc2NepuDjZ4iexina8nS0vBbVvWwDl/KJRjrHLLzeKOCGT4j1hk11xVw2T7f74R1qBM3H1TIdMCd6VAL4F4AoAvUGt+i+afngPj90XYZr6MEEuTPBzhbKwdl0S2FgiaidfsF0d3OO6mTaB4HOz3R/GjTMuLeJqAlDTOnQol/XvD3xZH2GSrTTkWuu3ALwMYBWA1QA+BtAmO617eKRGkPUsbJuwZ9zN1OY+37bwY6fyl3W2Ntw+ptvOpk18BktKTAkDSZJUUGDSxs+eTavXLbew/TFjuP+aNYb0RSJcvnq1scrNn8++FBRQ4J871yQ96NGDgnTPnox5ueYaHr+qitkvZ84EHnuMlpiHH6ZF6MQTSRRWrTKWtbVr2U6XLmz7vPM4p7z0Eq15rVpxHrrjDuMCeuGFtCAdfTTdRo87jn3Pz2e9tupq9rFXL8aKAc3uonmwUmp62KcpDWutr6sv+3IEgHMBLNBa/ywrva6HO65qa0ncBgwAzj6b9/+qq1gaYdMmEqHFi0nop0zhmOvende7tJSxaf37836J++3QocC3vsV4Tsmuum0b79vMmSSIUlu1c2eOzcmTSRiXLwdef52KhkiE4+KFFzhuc3M5xi+/nLGcIpwDHI+XXEKSevbZtCwfcQStv5EI973wQhK9e+819SIBnu/995vnWMarTSyEsNhkYdUqKhykXEMikVy6wHY3lGtvW32EKEm7sgwILjhux7yJ5bC01JSDqKtLjp+3yV00yv9ivQNMFkzXRdN18XZhk9UwBbjU6RMClpeXbM13FeN2e0DynCjb2uNXkpqIZdM+riR2kSyurgLOLh3h1iO0iTXA+ci20tlJ6gDjSh9mOd2+nc9EWRnHfTYIntKiak+1kVLnaK3/nW7ZrkB+fr6ulqqrHh7NBJmww6xorjY9VTtBFrcwDY67TybHEa1Q2P6CIIFSJq6pUxmIbL8k7Bi9oDZtF4XJkzk5LV9OQWrjRuBf/6Km9tRTU/cfAJRSK7XW+QHLfw2gEEB7AFsALKv/rNVaZynXVPbg56e9A5k+32H72nNHUFup5gVxs7JdkQAjdAXNHfJMzp9PQrN8ubHS28eaNYvWiyuuoFWrpsbExa1aZTILVldznbgSSRmD4mL2Y/x4CosyPzz7LIWSHTtMhk/BwoW0xr30Eolbp06cE6TPf/gD8MQTTKzRpg2FT3HpjERIQnNzacV75x2SjESCgpC0d8ABJA+33krLXjQKXHwxk3t8/TXd+s48k+0DJIsff8zC2Jdemv6ehs1PafY5P9V6rfVfGtJeiuMUA7hKa51ypm3s3BSPMx7unntYs06ufW0tSd2nn5J8tWnD696pE8dCr14ca717c1ytXUuCsmUL4zxvvJFW15/8BPjTn6gAKCig4uHtt3mvzz6bJHDBApNco7aW47hDB253zz3GahaL0b2xTx8+C48/Tivyj35katn17s3zksLnXbpwvN99N5+Lk04yrqMnnEBSJ8l9+vTh8zFpEsdTTg6tWAIhQnfcwXVXXMFjbN/OsTZunLH2yTMvz7n9vpU6eYAhUGJt6t7dPLNiRUwlTwhswiiwrV5C7qRfdXXJSVFsAhg0x6WSl9x+BMkU9m/3+LIMSLbClZZS+TRpUrKssnAh5ZLp03kPbJdOuc5B/Q2al+Xa2Ofvbu/KSnJfRT6SuqGiFLfvu2xfW8sx+dZbTCIlBdLTIdXclKkF77oMl3l47BVwtUZB69MhlctWJtZBd/+wdlytkrtPUKCyfQ6RCDXvgNl2+3aSvtmzw48rmkOJx3ngAQpZ115rtP1ZcIH6BYAfAHgRwGMA/q61XrU7kjuPvQPywnXHvTyT8tv+trcBdhZ83ED7IGucrJMkC661UJ5Xty1ZJ5rj8nJjrZJU3IkEf69dS+vIihV8VnNzaWmTArvr1tEVLz+flpGiIpOwJT/fFH6ePJka64oKYw286CIKnffemxwz060b54RYjO6iubm0Zogr6NatjJk74ABaaObMoZVHhOB+/ejK1r49/0+ZwjiuoiKSuRdeYJzdokW02r39timzMG4cLTuTJ9Nq164d4/0ke6btrpptaK3/kuqTxeOUpyN3jUUiQYtPbS3vQzxOgXnKFFrY/vAHZjP95BPO9XZB+uJikqm6OioPli2jG+7Pf05Xzd/+lq6yf/87i9DX1pLs3Xknf998s0kMEoslx03efjvHo2RDvfVWCvsA3z1LlnAs33knvVlOOoljv2dPxsoBHIe1tSSjJ59MK7LUa+zShdu9/DJrLY4cSZJXXc3nQ+JHc3JIfm+7jddKrGqtW9MKePfdfDaWLmU7M2Ykyw51dabu2eTJJK5C5GpquF7GaCTCZ1QSjBQXGxIQpNAN8jASQhHkSmmTIDfhmus2alvKgv4HHR/YOYGK67IpcI8vfRJrpOwj8YlAchZimX+7djVutHL8qVONBdW2lAaRO7utIA8O2d+2DtrnJFZCsYTK9m5R++JijqU2behy3qYNFRhNRUqCp5QaoZS6C8AhjnvBIwBCRFQPj70DjdXg2/u7JFFefGGmetdF0xUUg/ZxLQVuDTx56aQijKJZklIH993HF5Rb50eEX3npy7mNGMEX/7Jl3O6DD7i8bdumXUOtdScw/q4aQDGAp5VSLymlHlRK/bJprXt4ZAYZ93ZmQfvb3UZgu1e5L353mdTBkppILpGLRCjUStKUoOc5kaA17ZhjaPWorDRWg4oKCqniArVkCQVvaXvoUD7DOTnsW9eu5vmurWWfamr47C9fzvUAhdczzyRxuu46U29MEr+Im9uLL5p4u5dfNpn+jjqK+w4cSKvNIYewj7NnU3irreX5DhtGknF+vV2sspKumj/4AbeNxUgODz2U51BbS6G/qooxwRdcABx2GIniZ5+Z82ouKKUGKKV+Yf1/Qim1oP4zuPmOnD0kElQGSBxaZSVdaj/4gELo+PHcJjeXsW2bN/MedOzIMdK3r7E29enDLJz/+hdJnmTj7NgR+POfScj79CE5b9WKxOzKKzk2Zs4kuVq3jvfsz39mf26+md9KkUxefjnHff/+vOcPPsh25s/n/4EDqQiwywGJFSyRMMmENmzgs1VXR+uQkL7WrU29xyVLOB7Xr+c5VFRwfM+YwTp4mzZRuTBsGM8/N5cETd7NgIlhF8un1Mbr3p3b19Twedq+3ZAIe//CQlow7fnA/S33MZHYOeZM1gnZENjEJ1ViKVdRlSqhnGsFDFKg2wppV+6Rbe1zTCR471w3VYDHGjzYkEJpt0ePna1tUlvPJnt2/2VfOa6L2lqznyjopA+udbK83LjHJhK8HwDJ6uDBHFNa75oYvPcBrAQQr/+Wz3MAUqRp8PDwAIJJYtjk5u5jTwxBZDHI2ieuAi6Cip7K9pINUwRTibVbt874n4sfO2C0TdIHCSiORPhCmjHDrM9CFk1orT/TWj8P4HrQc+DfYLmWmU1v3cMjGUK23OdQNMi2NttNnGLXlRQEPe9By+R3NGrikcTyNn8+hbwHHqDwKLE7ItTYFrMjj6TwLUKEZIocPpwxcQBJT1GRSeE+axatMkuWUDjesIHbzZlDCwVAl7uhQ9nuF1+QMHXpwv9Dh5osetLebbdRoHzzTa7/3/+ltW3WLApEYknJyTEZD8880yiHhg2j614sRgXStm3c7+KLSdTq6tj//fdnHNiwYYylys2l21YsRkVVt24UwLdu5XeHDnTPBDhfNSP+ACqmBMcBuBrADWB5g90e4t1x3HG8jqtWkUB16ED3yZkzOVZ+9zsSp+7daV177TWSaEn2NXgw790f/gB8//t0i23Vit95eWz/9df5vd9+jKNcsYIZOi++mCTmt78Frr6a7r0XX0zSedVVJIHHHcfxc8QRPFZeHkMOJkzgeYh75+LFHPvyf+VKPjvy3jr+ePP+E5dOgONpyxZTHkgUCEuXUtHx+ut8bgYP5jV46SWSrxUreA0ljlDcOYVUSDKkRIJ9vvxy7jNoELdt25bunu3akYhKbOHkySZ2Vrxv7Pe0ZM2V33K8igpzDoAhK0JQZJlt+Q+qCSrzncSVidwRllDOVjbbMo3dB1lmZ84Edo5blvi82bNNMXq7SLx9LezEUDJnl5QkbzdkCO9PTs7OparkXCTD59SphghK3xMJjg9JPNerF+cd20roHk/qCrtlHabXR+a2bZudDL8pCZ7Weo3W+hEARzvuBU9prT9v+uE9PPY9uBqdMBfIoCxObht2DSzXKgAY7WBQhiu7zo2dxlleNrKP664mk6TE50hAMcBlo0bxBZcNKKVOV0rdopRaDCZWmQzgQACTAByUnaN47OsIcmeS5bYG2VWepCJqYe2lWibLJQve7Nkm3mnJEuDYY2nJsLXF8TgtB4WFfG5//WsSKklPL0oYex8RtNq0Ma6a3bubenfjx7ONl1+m61pdHYVXefbbtqWF/89/Ni5k9nWIxSj0RiImucqKFYyFuvFG4N13eV3nzSNJXLeOwucpp7CcQSRCYjlhAq9BUREtPAUFVBrNmcNsi3V1tJJ861skwO+8w4Qd771H9838fJZR6NSJ53foobSSdO7MfjbVwyANvqO13mj9f1VrvVJrvQjAt5v1yFlEmzbGitWpE/DRR8B3vgP89a9UOFRWslD5979v3DN37OB1rqkhoY/H+b9DB461H/yAVry//MXEgX70EcfxIYfw/j3yCC1+V19Na1hFBcdLWRlJ5mmnsdD9lCnsoxSuFqXl3XcbN72cHFrfevVi20Lw3nyTRKaujuTupJPYh4ULSVy7dWMbvXtT6bJ8OY/frx/PQ+LgJkzg8ykWzrVrDckC2N8BA5JdqYcP57MnNeQGDOA17tOHBAHge7VdOz5P4o65bJkpvr5kCZ8NW8lUU0OrpesdIEmX3LlNsp+WlSUTHDubb5A3UTzOPtnJQ9w5zZ7bxGpqK6XDLITxOO+ruN0KEglzHXJy+H3ffTtb1hKJYAWcEE17PgRMm26dQGlr8WL+nzhx51rBAMdHSQn7MXMmXdFFCSfHsTOK23KaXbPv2GO5/1df7QILnlJqnVJqLYCXlVJr3U/TD+/hsfchzJ1B1tmTi7h0uRNiKp92d4KVCUkmNFuoE9cL263DRnn5zsG+4oYm+0gKZ6kPJP0rLjZ18BIJ/q6r4wtJ3LeykEXzAgCfgBrvg7TWA7XW12qtn0XmMcQeHqFI5YaUznIu27jLgxQ3QevdtuyXfnGxSe0+cqSxAohVXfoWj5PsLFhgsuxJ2nlxXayrIymaNo0CpDyvBQUkXpJGfsEC7iMua336cB9ZJ0J0SQlw+uk89nPPmRikRIJCa2kprWzxOEmUFDk/6STWszv7bAqG69dzec+e3E+uZTxOQvfRRxRO27alEPXooySAp55KsjZrFvvasSMJ5zvvULn061+TDIjA/9xzXD55MrcVK+Hnzaumbmf/0Vqfbf39frMeOcsQQT8nh7GSb7/N/5dcwvfCTTfx2ldXc+xpbVxwDzvMKAE6dmSZiyFDGDf3wx/SMtavH4nd4YdzrB13HPDQQxx7OTkkW717k+gdfTRdM9eu5RhauZIW5bVrGQc6cybH86RJPOY//0kFSbdujBe8/nqTbGfaNLqRArQul5byHHJyaF0cOpTv2MGDSSiLioy7clGRcRnevp3nW1BAEnjMMSQD4pL8xBN0UZZi2IsXm8QrPXuSZMrzKgRO3snxOC07ffpwndSrFGugnVEykeC5jR1rYr9spa6Ehwh5ECvj+PEkLuJaLd46sZiRT1zlsBxXlMH2nOa6PcrYscNAZN5zLX0LF/L/pEnskz2XijVNMnnn5fFa2QXq7baljy7Zdd02pU3bddeek8Mym4u7qSS0qqriXNeu3c4hLRKH556zKCTuvJNj/9xzWWNyV7hongrgtBQfDw8PC6mERReuS5dN3ARBPu3uBGu7W4S5i8lEEzRpyPrFi/myFuImWftKSkycgh2DJOdoEz+ZIL/zHX43NcmK1vpsrfUUrXWV1rpWKdVOKXWRUqoMLJng4dEkBJE4d30m29tKGRFwXKJnrxeXaNvN0q1pKVp/ILnmFmAEiGXLqO0ePJiCYEUFXb0kwcWMGcbiMHYstf5Tp1IQXbTICCnipgSYcgp2sWjACCni+vXRRxTU+/VjX+68k9vPmEHB9dprKdQvXkwBPBqlS92QISyT8Esrinb6dMYPPvEEr8PYsRSW3n6bFreVK5kgpqSE5O3tt41FaORIWusOOohk949/5LW+9FKjSb/4Yrr0LVnCTHUArU7NiM1KqVPchfVFyrc065GzBLE8JBImQ+Xnn/MePPgg72lREcfSxo0kaJGIyao5ciRdMX/xC2Yu/fvfuc1bb3Fs3HQT8J//0BJ8yikkhq1amWPL+2r0aN7/Cy9kZsxjj6VF9r77OAZnzqTVUMiRCONbt1IxsWoVx9xRR9Gd9PPPaX0E+NycfDKfiTZtaFHu25f9mzePhKeigoRMnkF5Rtu1Y58eeojXRghDURHrAA4ezG2mTzdJXSoqSDZnzqS3y7p1JFjXXUfSJpY8iZdLJEzc2IAByWUJbKtQaakpvr5ihaktJ0mQRDkjBE5cNiURiMgBlZUm1vb225PjVF2lluwjyUvE4iYWw7o6oyy2yWZ5ebL3kcB180wkjCXPVX7JdRCXWdtCalsbxd3UriPobidlJUpKTDkKsW7KPbAV4EJ87dhFOSe59rJffj6VVYkE78PkycnkUWSsq67i8yL93LYt6IlsGEJeaYTW+m35rZQ6HMAxWuv5Sqk26fb18NgXkYmw6Na7sdeJS4GduUm2Caqh5e4v2qogbZNk7JLju32RAqN9+tCnXLSVAF8Edt078e+vqeELNDeXGvg77uA+c+dyu2zE4NXPN2cA+AmAXqB705kAFjW9dY99HbZ2OlOkI4PFxeblL6myq6rMM2xngxMrenm5EYiiUQoDa9fSrUyy5slzKwKVWMqrq7leSp1EIhQWREBfvtz0b/hwU4BXBNbSUm7XowetarEY8MYbFNRffJFCaM+e5ti1tWxTCF1R0c5F2tu04fmOHk0CePXV5pi1tbTEPPAAXTnvvpvbLlpEy+CaNTzmccfRMnTUUWxvyRLue9ZZnHteeYXCeCRCQf+000wM3qOPUkC/6SbOUZddRtJ7zTW03KxbR8G/GTEBwAtKqR+BNTwB1hE+EVSe79YQ4XPAAFpA77mHcXUDBnD5hx8yXu7EEzl2JNHIb38L/PvfJGGvvMJC6G+/TTfaadNoUdu8maTu4IPpalhXx/s5fz5J/Nq1tGK8/DJJWk0NxwlAAjdtGsd3Tg4VAqNG8Z10/fVUTjz4IMfrunW0Lv/kJ9x382ajtLjoIsbQrVhBUtm7tynBAJj2AVp///lPPnN5eWxjwQJuc8opfDeWlXHs9e5Ncjh8OMe6HQcrWTEffpjnaYdCJBIm7f+VV5oESXl5fL4mT+Z2skwUsgKJuRVPHnk/z5tHC6gkxJGacwD77M5lMhfl55NUDx6crIB2LW6iqJJyBLa30MqVvJfjxvE6215Jtnu762VkH8sugSDrREYCki2Toqyyr2dOjiH97lzv/rZlMFG82TFyUsZm8WJzDQUyrqRf48bx+4EH6P4biZi4YfeaJxKG1HfoQHfiZs+iKVBKXQzgCQD31y/qAOCZph/ew2PvQzphMdX6VJNeJkKoaNGDLHV2MVXRyMo+tj/9smUm9fC6ddQkSfFjwLhQFBRQa1tXZ4TPnj05oUpsi61hbAyUUn8H8AqYSfMuAEcA+Lw+Nfg3TWvdY19HQyzuYfsHQTTCIjDYrtTAzgoYIX1FRSZLZm4uhQtJCiDWeSGAEydSwBw5koKexIkICZN+iHtnv35sOxaj8CgWAYDPadeuFHo7dgR+8xumrs/N5RzQrZtJQjB1qqlHBlDwFC27zC2ScKBtW7rF9etnziE/37iZjRnDpDCxGMlbXR0F5iuv5FySl8e+3HMPiUCPHpyLios599TWUpiOx2kZevVVtvHrX7Ogutbc/7HHKOS/9x7ntzfeYH+6dGncfc8EWuvXAHQHsBict44AlVLdtdavNN+Rs4t4nO6LZ55JUr7//rRKHXkkk98sXcr7ILXcxo4lOVuzhsL95ZfzfgAk28ceS7fN116jJa+2lvGWpaVMLlJeznWrV9Pq+vvfM1avtpZKRIlTi0Ro/du8mW0/+ihdKh96iPGXhYUcQ1LAfMECkpDjjuO4btuWY+qbb6jIGDaMrr933smxBRg30wkTqHhYvpzje+NGkj6x1EydymvUuzeXDx/Osdizp3lupVzEli10bc3LM+RI3vXDh5PQyPZCLKJRnvMFF/BZEPdp8aoR8mHHzElSFplHotGda9kJZF6R/hQX81y/+WZn10ybaMm8JSTWJoKRCK2S48eT3NnhI7aSWUiiWMXECmhb1+xjAjtnzHTj7QR2MffS0uDyNzZst85IxJyHHZtor5fkdLalG+AymWOvuILKKRk3Qphljh4wgBbebdv4rKxfT2t0FsJbMo5hGQugP4AvAUBr/SqA/2n64T08PFy47poNqaXnatFlO7cW3qxZ1DDNmmVcOwoLkyfzqirGF/zmN3SxmTHD+I8DnLQvuYSTVyxG6x1g0mJnCZ0BfA5gE4BN9fXvdNZa99inkcrini4GIhNyKG5RboFcu33bMifPb16eEdjsJEpz5lCYdLPl2gQyHqfVQmpYSsKCe++lpWPZMiNUT5lCa3tBAQWL888noTvoIArVAIXWk0+moBiJ8P/AgRTgFy6khc6Nl6mtpWVn/Xpj8bj7bmqy77qLlpl+/djvHTuYcOOTT7j8hRdooRECuWkTCdqiRZyHvv6a57R8OQX0W2/lMbp25fLJkzmnHXQQ3fHOOYdE8qyzOJfNmkVisCugtf4awELrU661zkJ0TfPDtoyIm2GrVhT6DzmEZG/LFlqJNmxgMfk77+RY6tKFiXSOOooE6x//4Lj45huOha1b+Y447DC+P/74R8atHXAAs0Oeey7H1f77062zVy+WQigtNd4hL75I5cGkSSSa3bpxHIwdy7Hw8MMcH88+S/fKp582xGjoUI7jSZNoZVy/nttIbJwkiamu5jMnpRVkTI4ZY5KMXXABz3nqVJK7lSt5bp060XrjvlcvucQkSgIMsbIVruPHm/IgQniKinhOxx7L5ffdZ0IqJGZO9i8tJcGQOpZCvmQeisV4PyV75vz5PE+pzxaJcD+psWcrmd2QETs0RLaxyVlenjmuXYdO+ipkVuL8w2QHOxuouIjbLvBC8uzxK0RSro9rdbPhzudyvQDjheH227aayrMiBNYmsRJ/eOWV5vrfdptRivXowes0dCjlLDlGU5GBTQAA8HV9/AsAQCkVgReyPDyaBXacXZgAGuYuIZOqDWkD4D4DB/KlKu5VMmnbk6AEW0tK7Lw8vpxt9OlDoe3SS/my6dqVExTALFBz5phg9sZCa91TKdUJwHkA5iultgH4tlLq+1rrj5rWuodHOLm7886dlSXufkHPnwvbpUjWx+OMb+nRg4KikDx5pu22bLemTZsoIAJG2z5kSHKSBduSLpax7t1NEefiYm53xx0UQuvqKMAOGmQE2f324z4jRphji8BSVES3r+OPp5Vl9Wq6SfbuzbiiY46hUF1by/NLJHiOkgBDhKOyMgrRxx7LbIavv87fkpK+tpaWk6uuosD99dckeG3bUrk0ahSF0HvuoQXmhRdIRKXm2Guv0Spz/fUkCmPGkJjU1rK22rZt2XEhD4NS6jtgKZfeAFYDUAB6KqVWArhIa/1l8x09O0gkSFg+/JBkqX173p+zz+Z1H1xfze+113hd16zhGG3ViuQtGmUiFYCKg0MOoWXrnHNoyb3uOt7Lp5/mvRs6lO12724UA506mXIFTz7J9s44w1ipolGSlQ4djGV240Za/15+mf2IRJiY5YEHOFYWLKByQSlafo8/HvjVr/gZPpzZXseM4fZSSmP2bJ7/yy/zWnTsaEqLSKxnXR2J5po1fB/ahECSCb30krEMSmy7KEi7duWzfPbZfB4rKmj1k/AIiYVdsiQ51lBcu/PyzDELCrg/YJQv4g5eVcXzW7bM9GP69GQ3S7EoyvwlCiSZo2TOsdfJs23PmVL/TuY/qa8Zj3MOkCzeckw7AYrtzeS6RYpLe06O2UdkGNdCaLvEu3KTwJaT5s83hO2kk3h+ZWW8r5dcQnmnVy/jmi77ixVRMhrLuYtbs2RvBThOpFyCnH9eHsd+aSnnu6YiUwtehVLq1wDaKKWGgnWoZjX98B4eey6y4dbltmFrkWytn73eJYCyPMj9wN7e1uBJILdYB8SlTCbGeNzEyuTkGJewSITHmT2bL5mOHblOamQtWMAX1aL66DgpKNwUaK03a61/X1/0/EoAjwJYoZRa2vTWPTx2RpAlPAj282drtAV23TwXJ5xAAdnWwAfVnJL/kQiFsuXLk+s/CezELuKWec89xuogblmLF/P35ZeTCEk9sPnz+ayPGME4NVHOzJ1rtO6JBMnd009z3YQJFFR69KBwfPjhXC7lCE480cTlrl5Nq8zVV/NchNyVl9P97/zzjbvdN98Y4fOWWyjQf/45+zRwIAX+DRt4Lt268VqccgrntL59eby//53um/Pnkxi8/z6Pd8QRJoHBK83rKDkdwEYwd8EP67NoHg1gHYAZzXrkLCCRIEE47jhT67C0lNfw/fdJnNaupSX2sMMYK7l5M5d17Mh3grj6b95Ml87qat7b4mK6dh52GMfOYYfRsjpvHsliXR3HTm0t73MkwvHx0UccRxJiMHMm+3T44SQodXUcH/E4LSFCziSmraaGY75vX2ZSveUWjqnBg0mqjjiCgvzvfkdhvlMnjvXNmzkfLFzINsRqeemlpszIggUc0wMGkODm5PAaLFjAZ0iyyAI8BwmLKCjg/kJIZ8zguS9bxrZlHhJXUXlmAROOUVfHZ3T7dpPNWlyeAUOm5P/AgbTKirJH6gaKpS8eNx4G5eVU5tqeBLaLuSR6E8vhlCnGuiaJ2myXytzcYIWy675u7yOeQ7Y1bsgQE5ssKC7euYapXTjdJnEC21PDtVba51pSQgJcXU0S1r+/qbMnnlaRCK+VuMLb5Fdc8OUeiFVPSKB4Psjc2tQEdUDmBO9XYKrydQAuBTAbwG+bfngPj90PmRC3hsTuuIRO9gtyv0xlsRMS56YtDjuebG9n8xMXFInzsSc7aU+yQxUU8OWXn8/lkjq9uJiTU+/efCkvWGA0WTk5dLcSQS3bdabq60hNAgWlF7PbusfejoYoZdKROxvy3Lqu1Tbs537xYj4zVVXhbdn/xVVI0oPb9Z/kOAMGUHgQFzYR2oYOpVVFSih068bvJUtI7AAuW7fOPMfiViTX65JLkueb66+nlS0ep7XuoYeAG26gdWbNmmRL5ZtvUujJz6ebqMxdY8fSInLzzRT6LryQwv+ll/LYP/wh56Hf/pYCrwjSS5eS6LZqRYGopoaWvaee4v+6OpKM//yHRKTe8QgHHkjXwL596b4py5oR/bXWN9ixwpr4I4DCZj1yllBXR2vY0UfzOuflcZx89RV///73VDi8/Tbj1x56iPF2OTlMdPLEE7SCHXww30OffELyN2cOC9+/8oopSfDxx2z70ENJdKZNIzFPJGhhe+wxZl1ViglPpk0jsXvmGY6Fyy+ny6W471ZWsu0JE9j/ggK6jZ5wAq1oN91EkvPGG/RE6d6dz86jjxq3wbo69vHHP6Zr8cyZHIeiXJB49REjqFSZMIFtd+vGd2dh/V3OySERXrGCY7lVKx5j4EA+hy+9RDLdqhUt00uX8npPn07SG4vxPIW0idJV6q0NHsxnZ/Zsrh82jIREvisquLxfPz5T4uJYVkZPAonrTSQoH9x2Gz9SYmXZsmR3RddNEzAkSJKiSHkAUTDZMXuiUJbSDDZct087I6WMyfJy87+83JRkkNhfQRChA4xMJJ4a4h4r10RIo5SUEJlI3JaHDeO9FLdNIXIAl0siHCljM2UKj1FRwbEzaBDPw943HjeKd4CKlKYiI4JXP0E9A2CM1vpHWusHtdbeRdNjr0OmxC1V7E6q9uwJx9buuG0HtQEkW9ncfWzXBplMbe1WJGKSqIwebQibXZpB9iku5stEanBFIsY/XzSGL71EIezEE01btbV8QfbuzfaykGTlO0qp65RSM5RSwxQxDky80rtprXvsC7AVHg1NqGLvmwnKyoyV3J0fhADaiQ7srJq2wsd+Lm0NrwhFeXl8hiW+BTAWCknJLXNAXh4J2rRptEycfDLj74QwSRyJpKcXIWfAACpvVqygoDlrFoWUJ59kLFtNDQni7beTrG3eTCG5oICCbteujOP79a9p3bv1Vs4Pixeb+aNnT84XokTq1o3rN2+mRaKmhnPQQw/R0tOnD8kbwLbWruU5jBpFEpCTY5KvrFjBa3D66RTQu3QBzjuP7X/U8s7dqqU7kA6RCAXRrVtJVm66iWQ8J4dj84svaFmdOZNEeuNGWkb/9je6y552Gq2oP/0px9HBBwPf+x5J3ObNjM9TitasxYs5Rnv2JAF76y1a7JQyyobXXzeJfv70J7ZXV0e3z+ee43FvvpnW55tuorJCyESXLiSNI0fSqv23v9H1d9Ysjst4nLF0n33GsVNaahIBXXst+/s//8PfffrQCj16NK/TfffxeYnF2Fepo9e7N8d9TQ2Jlbj1LV/Oc7/zTu4v5UnWr6f7aGUl2xg4kBajVatMFlNx6S4p4di++26SumiUz8AjjxhC9fzzxtpVW8vPAw8Yy78QshNOMJar2bNJZMeM4bMoMoDt2SOkVeQJm/DJ8cTtU97/djIS1zPJtqDZc7TMa1VVpi6guI2K+yRg5kTJDGxD5m231qidNG7UKB4jHichFaUXYOZnu3yUZB4dOJCEzbVQSm1AOdZdd9F6vWyZKYcAUDEWi3H7bds4Ry1YQIs5wLIiTUW6QudKKXVDfdzLFgBblFKfKKWub/qhPTx2P2RC3Gyy1pj2bFeBTKwEdhu2a4QrdIa5IMgkm0jw5SH+/7JP0CSdSPDFYk/IOTkUxO65x2gRTzoJuP9+4wqTm8sXw5FH8n8WXDT/CuA40HtgFJio4BwAZ2mtz2hy6x57NVyX50yUMu6+qRIduduvWWP+2wKM7G8rdeyakvE4CZgITxLHUVZmXKRs7XRpKZ/DbduMUNWzJ4Xgyy5j+5I1bts2CoxdujBV/TXXUCgSC59Yxbp0ocAydy6FYYDP+AknkLht2GBq3J17LgXY/v0pNE6bRsExL4+kYPFibn/RRbS8HHwwBduLLuL59+5N4ebuu2ldqa7mnNK3L139JJHCaadRuN6yhdtcdx2F47IyCmXiQn722SSZp55KS87AgezXBx/wnsgc+NhjdMMTC95rr2U2FhqJpUqp65UkL6iHUup3AAJst7sfxGNj5ky6Ud56K62ul1zCZWIZ6t2bLrSXXgp897vc78knOf9LgpR33mESldWr6eXRpg3dav/zH0P+Z88micnJ4f3VmsqCkhLe202b2N5vfsMxMXky2z7rLCoa3n2XFrmf/YzvpIUL2fYzz7Av4nYssZi33moSIbVvTwt0x47cXsZW374kpd27c/w++CD32byZz864cezz5ZczVlFr7vvSS3QB3bKFz0NNjSld8OKLjCuVeLXLLzfkbfVqxl+JtVspLpcaa/b7+8orjaV90yYS6lNP5Xzy4INUsmzfzv7n5NBKvmyZ8e6Jxw1ZFPTowT5JEhlZN2sW5xZJ4CQupn36mH1ra00N3aoqkq6RI5PLvEh7kkBGkkYJ+vQxVkYgmTABbMNWjsm1kHhDe+yKYlyUawD3HTOG299yC4m3JMKROEnAzNmlpVRwBc3/dv0921sKMIRfyoXk5xuSumIFlRAPPMD78/vfmxIcIr+JTNUUpLPgTQCzZ/bRWh+gtT4AQD8A/ZVSE5p+eA+P3Q/pyF1QrE3Ytqnay1TQDNrWnqDd4wEmK5cE+NoBzCUlnHwlRXplJQUi11W0SxdjmZPjVFdTq3jaaZy8JWuZ+NUXFfH3++9zexGkmoCjtNYXaK3vBxOtdAYwXGu9uskte+z1cEldQ8idrYRJl2lTBDVJUmC3Y1vs7BTltbXm2YtGqRhx409EgBB3Spl3hg+nkHLXXRQEYjGSnwsvTM7QJ8XGCwoY53bddRS4pk0zmn8pw9CmDX8PHkyhWtaNGEHhTJI6iNVw82Yep3NnCsaJBPu6aJHRrkciFLgvvRT4wQ8otF5xBcnAM89wPynR8NVXrI0mCSsefZTz2Dff0BUvN5d9EWHv+9+n1bGujkLST39KN8277iKpfewxupJWV9Pa1KULr/l++9E1D8jK/JQKlwPoBuA1pdST9Z/XAfQAMK5Zj5wFbN/O0hKxGAn6118Dn35KAnfzzRT2O3TgfWrVirXvpB7ezTfTAjd2LF32vvc9EpdWrUiSxNV440YqE4YO5Rg49FC6+h5yCIn5Rx/xXk6cSMK0aRMtUzk5tPK1bcs4uepqtnvQQdz317+mZ0lhIdsdNAj4619JHnr0YLuDB1P43rKFz8kdd5A8vvIKSRpAUnjOOWx37lySPcDE1w0ezDF6zTV0RZ40yViWly/n+Bc3abEuDxlCq3KvXiR6zzxDorpunVF+5ObSHXX5cv4/9VQ+u5KhWtz+ZB4BzDwiMbZ/+Quft5/9jArXujqScnFHjMVIECWbbjzOtgcPNuTMLdty1108H1GY9OnDZaWlZn/AzGG2C7q4O0oB8fJyE9dmx/DNmMF5xE6U4iJI/pJkLQJ77k8kaDHdvp3HFmvar35lshaLdXDkyOS5evhwE59YUpKceCY/35yjuMiXl/M4V17J71de4Ti7/37zvhg4kOP++OPZ7p/+xGemooJkDzCxek1BOoL3cwDnaa3flAVa6zcA/AzAL5p+eA+PPQu2hSyVVj/MHawhMXvptrV90V1XS0k7LAWWbbIpk5e9XCZA0dhGIhT4Bgxgm9Onc7IvLjaZuqZNo1Zv0SJOmlOnMkC4Rw+jOXvzTTQVO+RHfYmErXtKmnGP3QO2gJDqebV/y7PkEkN7O4nf2L7dCC3yTNkukiJkiKulJB6wU2yLcCTa7/JyCpTyvJWUUNCTEgiiHZasgZEIrRiSyQ+g4LdyJd0yhdAA7Os33xjBEOA+osm/807G/cyezf48/zwtdjffzGXPPMP54KijKEAWFFBwnzaNLkaff06ideGFJpbppZdorYlESNLmzeM+N93E9bfcYtLhL15MgllTQ2IGcNtevTgnDRrEa3LWWVy3ciUFI4mn69iRc9HmzSQJP/kJLYUVFRSYd+wwSVbkuzmgtf5Sa30OgGEAHqn/DNNa/wjAL5vvyNlBu3a8jjNnctyJS+Lnn5OgfP451y9ZQuH/4IMpzC5ZQre3G280Fm2lSFI6dSIpmDKFFjOl6L749dcU6Nu359js0oXFnn/4QxI+sV598gm3k1phvXvzPr/5Jp8zcTds25bjYtw4jsXHH+d76eWX+Zwdeijwr3/xd00NyefDD3Ms9uhhskG/+SaJ7Cef8Fm86SYmQznpJKPUfOUVxhP+8pfcrkcP9v+NNyjkz5vHtiZO5Cca5T61tezbsmX8HHaYcc0E+GzV1pJU2kqjoiKeY7dufJYff5zP6Jw5fHZta/9++9FC1bYt+3vBBSTJiQSfpWnTeF8mTTIx9CIfLFhgkk3J/BeNsq91dTzewoU836IiyhtCgGRb28omyrLCQmP5BbifzLUlJXzOw3IQAMGWPwktEUuaLe9IfOHo0Zy3pkzhPRfiV1XFOVy2F4W27dUky2XZ4sW8zjNnGq8LifmUOX3aND5DEybw+l95JduRd8vatbwGZWXc/qijqCxr3Zrt2VbLxiIdwWuttd5pCtRafwKgddMP7+GxZyLI3cu1gAWtT2f9y9QtTLRNtpZLUvQCZp2Y/N0JUyZfCXbOyzMTubRRXMyJuKLCpDYWQhmJGPcQ0VgedBC1T9Onc5IG6JLTRPRQSn1Z//kKQHf5rZRK66WulDpZKbVFKfWaUupXAevvUEqtrv+8opTabq2rs9Y91+Qz8WhRpFK6BNU/EjLmbmcXER83zgTbSy06wLjryLbicmhnVJMEA5Lxr39/owGXunSA0biXlFCZ8vXX1JoD/B46lM9o3778LynT168nQbroIsZRzZpF0rh2LYXWV16hYDN3Lq0v8TiF0WOOMefcvz8FwEceoftb9+7cf8cOCojHHksh/n//l30eNIjndM45nFMmTeK2zz7L/kQitP7ffjsJ2kMPcXlJCfuwejXnpdtvZz+kHt4771DZtHo1r22/frxW77xjsi6OGEHhdehQWnB+9CNTh2/0aN7P7t3ZBznH/v2bNKQygtb6da31rPrP6/WLJzb/kZuGeJxulu3b0/X3q684x3foQA+NAw+ke+3atRwHX31FkiflMvLzabH6zW9IQFatIul56CHe448+ohVOa5Ow5f33OV7WraN19777OL5efZX96NeP97uqimPhzTf5f8UK7rdhA/vXuzfvc+vWdMMcNYrP3uDBJDrXXUfL0Y03sv/HHcdEPatXk8DcdRfbPO44JpD5yU/4DN1wA4mgJM1YsoTr/vxnnsvYsSS/bdvSIvijH3H83nYb34sLFvC6TpjAd+P06XxmLrqIc0vPnlRCSOmQL76gJXTrVlr5li9nG2Vl3M+O/crJIbGMRHgO11zDc/rXv0zCGKmjJ94B8r6Xd7p4+8TjVNaKAkQIYzzOuWvwYF6r6mrzzAOmL+Jd5IamSHZuUShFIkZRLdtLIhg7OZwklxPlV0mJyeoNJJMvgRA1yTSal8dxMXYs5y5xi+/WjfOUWPemTjWx1GIplb706ZNs3bOtf8XFxron8ZVS584OkxFlxahRPPeaGs7rXbuawvQAlQVNRTqCV9vIdR4euxUaklghXTtuGQN3uSDItSCd9S8TtzB7W3uCC/JLD+uHvdz+duP9gOREKwAnQUkJLATv7bf5Ap47l5PoqlXh/W4ItNY5Wuvv1H++rbWOWL+/k2pfpVQOgLsBjABdO89TSnV22p+gte6pte4J4C4AT1mra2Sd1vr07JyRx65AqmfLfW6DlstL3CZ5NvGT9kWBYitMAJPcSAQX0ewCyWm75VgiKEgg/7JlFEATCZKxm282x8zPZ8xOZSUFgwULaCG75x4KCX37UoC4/HJme8vPp8DxxBO0cPTqxWNdeCFjQPr2pYVs2zYKg6tXm+yUd9xBTT1Aa8vDD1OIFE38K68Y99AePSjQPPWUiTX50Y9oPTv7bFoTLr6Ygtq117L9qipaU9q2pTC9YwethPfey+0mTmRCi44djTvav/9NAvjyyxTQAVprXnyR7nZ33WXcTbUmuWjTxqSu37qVMYcABfQWgkq/ScsiGqXb67p1dMt86CHeiw8/JFH74AMS99df570780zex9mzOX4PPZTvBEl48oMfkHwvX872TzmFBPHdd0nSli7lfh98QOI+fjxJ5JAhtPxt22Zi1U48kW5tf/0rx4BSHA+LF/P4o0aRNJ15pilWDnCsSvKdWIwF2KdP59iZNInP1Le+RatYmzam3MBvfsPneNUqujtKvO0nn1CZEI+zX1LXTKznJ51EC2OvXnye6+rMcy3W+WHDqOw47TTuU1PDcXzGGSSB99/PYx19NMewlI+YPp3zy+mnM3HSsGGGHEjh9Vdf5fGGDqUCpHNnY8ErKDAxdDNmmOzaQlxvvJFEdM4cE2c5YYIhS5dfzvskJZHs5G82aROIW6YkXxEZY/hwUydu1iweQ+LgAEOeZP6srTX72kRSZCsJPZE6oXaClpISjgex9vXsSSvbrbdy7FVW0vV9+HCur6ykIruoiLLNhAkc/3bpGMAQTyGwo0Zxf7FgDxjAOfjGG6mM69WL5PKee8w9X7uWCikhg3Ivm4J0BM/Wnn/paNK7Nf3wHh7NjzDNfWMQJAymWu72IZNtGxMvZJNOW+uVzt3TXm9bJ+x1MplGInwp3HMPJ6holBrwLVs4eY0Ywd91daaGSzZquTQBfQG8prV+Q2tdC+BxAKkSs5wH4B+7pGceDUamz2+q5z1MKRP0rAmhE6s1EK54kWfbfs4lsUBVlREo3KLAgHG3lP2EDMozd8YZRuCprTUv/uJibjtsGIWtfv1Iun71Kz6fixaR7GhNoWboUAqLtbV0iXzgAQqN0SiFy9//3sS1rV5NYaO2lgL5tddSCPr1r+k2N3YsBZPLL6fw8/77PNbTT9PV6NJLeXxJNlFXR2L4wANsr66O59GnD4X07t1JJJYuJSG7+GKSQnG1O/54WiQAnu9bb/G6SvzLO+9Q0L3tNrr41dTwnMePZ3+GDOH5t27NtsVlNRtuUI2EbrEjNwDRKJPSHHwwrTa//CXvSU4O3XYlccnw4SQO//kPiVJODhUPV1/N7UtLSYDy8oBvf5vvpvXrueyss0gQzzqL7f/gB7x/l11Gy/D775NkfPEFlR+zZpEUjhjBZ+jf/+YzUlxMpcXJJ5PcicBcV8f+Fxayb+XlwB//SGvchg2MIfy//+P5/vKXHNObNvF/Xh4zbp5zDvv42WckkN98w33mzqUFKzeXY13irjZs4HGlRqzEjhYWMkawtJT73nYbx/u8ebR2SmZbrflc1dTw+fjiC3Pc8nJuM2YMz2/tWhJUmU8qKrhvu3YmeYiQkdxcXvMXXySZ69OH20lG3vHj2caqVdzvo4/YRk4On8PTTzfxcu3aURFz4olmrpI+yNwnpCcWIyEVt3A3vqyigtufdBKf15deMutsl3XxQJA6e+LiKDLPbbcZ101J+CJ5BICdLX79+7PtpUsNiZT4UEEkwnlm2DASNHHlHTPGuJeWl/NeVVTwW+LtxMoYiZD0vfsuiXJ5OZXif/kLSXduLj0zunY1ccHvvNOABzUEKQmeoz3/jqNJ9y6aHnsE0hGqxrTXkOVBfWhMX1yyZguwdjCxS9TC3D3t5SLMSjpjcd1yj7dkCV/4999vLHl2HBDAl4EUPD7ssIafZxZxCIB3rf9b65ftBKXU4QCOBLDAWhxVSlUrpZYppc4MO4hS6pL67ao/yYZfhcdOaIiSxn3WUrk5B9VIkn1EAyz/XSEhqB2bFAI7W9XFtUeevW3bKBRKTUrRVgN0yZo71xC6F15guvQuXSioxmImg57U51q50giTkhHu17/mMc48k1a0AQPYhwsvpLB0xx3UbJ98Mvvzy1+SCI0dS+tefj6f+ZdfZv+2byeZq6zkOVRU0NLQtSutGz17cn5YvJgufp98QmL3xRe0xLz3Hglm27YUxL/4gtt+8w217bfdZrIFiuWgbVu6inbuTMFnxAgjeB5zDIXCnBwe55VXSAg6deJ5fv013axeesm4zUpsX+tmlGLEjTxEQf6D5jtydhCLMaX7p5/yeuXn0yqXl8exsnUr78/nn/PeSxbKjRsp5H7zDcfW8OEkR1OmcLx89ZVRTqxcacruANy3dWuuy8vjPjt2cNk//sGxM2QI+/HssxzXX35J4vX//h+fOylTcOKJJEpffEGr8rZtJJEXXQTsvz+3v/NObvPmmyReL77IPr/0EpUKUm7jk084ZqdMoQtox460zrRvz34ddhi31ZrP47hxJMSCRIIEbcIEXqNnnuGz1bGjScvfu7fJQvvaa7TwPP88M47m5fH5nTCBpE4I3OjRVMg88wxJYr9+vJYLFpAI33477+OOHaYvAweSwB1zDMlMLEalbWkp11dWmmenf38eZ/hwfk47zdSFE+vZT35Cq5a9XM5Z6nJWVNCSOGgQf69aZWSU7dtNYqhly6gUkMybgEkUJ8qs8ePZx7lzjau2yDC9e5uanZJ0paDAyEaipBYr2rJlHNfiDm/fr0TClNmQ+f3RR9l+mzbJ74HiYi4rKuLcNHYsCXQiwet6880cU6efTrK4dq3JNH7nnRzP8+dTsfbpp1xux0g3FukseB4eewWyQe4yTX7i7mMH6jb2uHY6dcmQGVRQWYTIykpOOqKpktggu01JxW73KyeHE+Bdd3GyEQ2Xnbzl1Vc5gckk+vvfm0D8khK+jDrXO0JmoUzCrsK5AJ6oT+QiOFxrnQ/gJwDuVEodHbSj1voBrXW+1jq/ffv2u6Kv+xwaqqSxyV26ZEi2pTsI4jYp2wVta7cT1EdJwmInWSkspKAzZUpy7Mrzz7Od7t0p0AwezOdu0yaSn82baU1butSUJpAMl7W1FJITCRPTl5dH65Vo6Neto2D48ssmE+bixVTUDB9Oi8HXXxvrWH4++1Jba4T+r76iUCyuRZEIiWirVpwDjj+eVrZDD+V3ly4mPvDQQ7lPTQ2F46FDTXHqHj1oFXj8cSZd+de/KBj26EGryPPPU5jetInH2rCBmvT99+e5St20SZOoMf/nPylYz5nDOmaXXkq3v+99j+f29ddph1KjIW7kIQryLKkbmw/yLvniC963NWtIPJYv57V86y2SnaOPpmVj/nwSv4oK3qchQ2g5+/e/OcZOO43jplcvWoa++IL399Zb+b5aupQE6+qrOZZ69SJx+PRTkq8NG6iUePFFHuOOO0g+PviA9/Oqq9jfggI+V+JauGEDycyYMRy/r75K8nn11Xwm8vLYxz59aD18/XWe56pVJIaVlRTWa2t5HhddROv0+efzeD/9KS0xM2fSAj56NM/p1lvZh+XLSb5OPJGE7owzqDCZN48Km6VLTUZOgM9C69YkK7ffzuextpaKC4lZE8L48MMc63feyfF/993ctq6O36++yj68/jrPfdUq3pulS5NT/E+caJK3DBjA52vRIl4TNxRkxgzOCcXFvP5SOkKSQoncMXky5yDbWjdjBs+rVy/ew23bOCfJtZUSEPZHXN+lnbw8c4/vu4+/RaHWrx89GJ5/nv9jMRNfN38+x+y0aSR299xjLP3iNitksqyM/Xe9mLp25TkPGMBxMWCAyVkwYICpixeJcG6JRDh3tWpFcnvqqSSCEyeyr2vXUgn2wgt0oe/ZM7mUR1PhCZ6HRwoEuTC6RTPdbe3/kmwhlRCZSriUNsrLjWuXZMgMKqjstmWTODvBi7y8pcCnCJ0DBnACu/pqukRJPIG4qQ0eTGEN4CS4YgUJ3s9+xrbEz10IXjb8yJuA9wAcav3vUL8sCOfCcc/UWr9X//0GgHIAvbLfRY9M0RgFSSpimEhwXAeloxZLmry87Rg691l224lEkuNRIhEKSvLMAsZ9S/omiQDy82n9es5K6bNgAYXUHj2Ma2EkQuH4jjsoBC9YQIGypobP67x5FFBWr+b6O+6gRj+RYB+qqylw7rcfrQKFhbSGiHLm7bcpgC9bRsH88ceNoD55MgnV4YcbC9qxx1JgeeMNzgsrVwIff8zn/6c/pZXl5JN57A8/JGHMzeWxtKYb3HHH0XXu1VdJbD//nPPN5s0U2L75hoRizhwKqMcdR4FtyRIKaCefzHM5+2xad/LzTa2/bt1IDB98kOTiq694He3soh4GiQQF9vJykvVIhPf8D3/g/f7Tn2hNmzSJlonx4+m6264dCd+WLRwb++9Pgfr73+f479uXbb3/PhUNv/kNhd727Tnmvv1tkvJ33mH73/sex8rbb5MczJ7N8f3RR8wI2a4dY/y++IIWNnlHz5pFwiXlOL74ggL3xo3mfTZnDp+LY44hQRP34Q4dSKy++YYKj759+Zx+//sktnl57HPbtkbhefDBXH/ooezDl19y/z59qAh5+WVzLXNyOO5LS2nROfdcZrq95RYK+9ddx9+nnso5okcPzicTJvDevPqqsbZdcQX7s3gxCUSvXnyuxAX6jDNIDM84g/fpmGN4XwsKTBK1yZNJhO68k+1Go8aKNmxYsmdQJML+PvCAcY084wy6tUrs2Ny5bO+NN7h+wwZDHqXY+oknctvlyzm/5OfzOZZ7Iy6YAPeLx3kN584lWVuxgvPVVVcZ8heLcV479VT+79+f7U+Zwmv03nu0gh51FF3OpdzTkCGGuBYWctuiIo47ux92vN2CBSYTp3g+iXumENy33yaBPf98HlNcP4UYDx7M/klW1ZUrSfQkrKXZXTSbinQZ7KztfqiU0kqp/Obsj4eHjTBtvL3eLZJsC2X2+iBLgQiJdpHPVMcIggiL4iogQcnyX7ax4+7Ky83x7HIIUuzTPp64k5WVmbpciYQ5Vnm5seqVl3MCevJJvhj79eML/qijOOFK1qnHH6fmEzDaqBbCCgDHKKWOVErlgiRup2yYSqlOAL4Lq/iwUuq7Sqn96n8fCNYD3bhLeu2RVaRyqZZslkHbuJlm7VTlYe24x4zF+Ezcc49xuZk7N7mIbVUVrU1VVXzx//Wv1LiLVjsnh8LMaadx+yFDuN0tt5DkXHUVj/PNNxSm3nmHhCY3l1n0fvc7WgxEELdLBHTqRIHplFMoCIswdvTRJIldu1LRc/bZtI5Nm2YSSgBs89FHuezPf+ZxamspjD30EDXSt95KJdCJJ/LcJkwAfvtbCt05ORTWp02j1aSkBPjxj3ktc3JI2h59lJr6L7/kPTjkEArUQ4aQaDz9NOe9W2812UWvvJJWzS1b2O8f/YjzlbhCSezdl2nz8O6biERIGD79lILn11+TTM+bR7Ldrh3H2+23c4y0asX78fzzFNaF/CQSJO1HHEGBetYsCv4FBVQQnHkmx+rnn/O+KkWi9OWXjHFbvdoIzu3akYjl5JAELV9OsrN6Na3At91G4fidd9jOH/7Adrt0IYH88ksSqw4dqGSoruYySfhx7rlUNqxcSfL3179SIVBTw+179yZpuPtuWl5iMY7zZctowezcmdfrhhs4vlq1otVz+nQTE/jcc1TgbN7MMT5oEN+nw4bxOrRpw2dl/Xq+Qy+7jM+JlCApLaXFcu1a3qdolM/v9OlcN2gQPxs38rzEhbGkhN+5uSR5kybx/Pv3J5EpL+dcIEQMMGEaIlucdBLP+ZJLOK+UlJi4uIULeb+3beP5LF7MOSUvz5Q9kDqhPXvy2CUl/LRty/tXUmJKM5WX83xiMR67stK4zN59t4kxBii71NRwji0o4P4PPkhlQHW1OZfHHjMeRgDnlHjcJJcZNcrEF1ZU8NiXXcZ23nqL5/nyy7QgV1cbwikuxv36UT7avp1j4qyzOGYLCnheBQUcV+XlbDsW4/YvvMBrNXw45ztRPn34YdOf42YjeJlksKvf7tsArgSwvLn64uHhQshQKstaWNyc/e3WeXGTONh1U8IIZUOyZdrHF9humsXFxnowf74heXJ8sQQmEqbu3YABnFyGDTNWCunnkCGc9Fes4AS1cSM1e926cYKMxSjsrVnDftx0E1/oos2zBdldDa11AiwoXApgE4B/aa03KKX+qJSys2KeC+BxraW8LQDgeADVSqk1ABYCuEVr7QneHopUz3i6Z0++RdFjW+fc7WzliRQSlmD7YcO4vLqaFibJ/iYxMWLdO+ggasQ3bqRQV1dHgUFSdsfjFKR+9Ss+d4cfTgEiP5+C76238jk87DAKgjffzPWtW3Of3/2OboonnUQLwj//ScH5/fcp5Lz0EjX4f/gDhfG8PO5/yik8t1/8gkLnu++y/w88wCyLl11mNODiOpqTQyvNE0/w/I44ggRv+3YKSgUFVBC98w778NprnDPWrCFhvOEGWipHjaKG/6yzuO4HPyDxfPBBCvOSOa9jRxLVZ57heZ5+OhN1SFbQN97gtZY4F0mu4bEztm/n/fjud3mfTziB1qgOHThGDziAQugnn/B98NOfkqTddx9d/JYv5/2urqbyorISOO88Ep/OnfmeqKjgOJD7+vnntLwdfTSzWfbubTK35uRwjB95JAXhTz/lu6iujuuOPJIEXtyRf/tb3vOjjiKxkdp2M2eyvS1bqByoqaEFevFintfBB3O8/+hHfGbq6vhsrF3LeLhEguT2+ef5LB5yCAnZpZeaOPW6Olq2+vcnARk1isRoxgxud9llJMuLFtHtdOhQ9icW45jv2JFk+L33SAa7dCFxa9OGMbIXX0wLkMgW7duT6E6ZwjbHjOE1vuACnpuQubw8Pn95eXwmli3jfX3ySRKWBQt432++mYll/vlPzjVTpxqy1acPtxWXT3HTrqnhNf/Tnzi3vP46r3dJCfu4fTvHxqBBRmEWjRpLosS8STbhujojo4jskZtLi9jixZxTYjGeR5s2POdlyzh/nX8+l3XqZLKN9uvH+bFNG1PiZsECzs1ffsk2hVTW1tLCrDXHT0kJ5zzJdjxxIq9DXR2VHCtXss2bb6aLeX4+FXKRCMnoxo2Ux559ln267TY+E5deSgXW009zzmrThlZigB4QTYVKlmmyB6VUIYAbtNbD6/9fBwBa65ud7e4EMA/A1QCu0lpXp2o3Pz9fV1en3MTDA4ApcBmGoKQJTYmVCzuGuBiIm6RrAUxH8KQN+1v2A/hb3DdluZC5IUOS2xHrXjTKiayigi9WmRxtdzVxS5OintEoNVBr1zIGb+5caukvuogTkxDJY47hRCh+7JMmpb9OSqmV9fFuezT8/LT7IdPnTLZNZWkPcod2n035Bkxa9oED+byMHGlcfEaOTG5fBCZ5rktLkzXqkQiFPklO0bEjhajRo/lsLlpEoa+ykkL33LkUxvv2ZbudOtEV6IgjqJE+5BBaS2pqKMhfdBGFjief5Lzxl79Q+BwxgtrxHTu4zeLFFDo7daJ2+4c/5DxRXU1BDKAAs2ULrQ1HH03BZ9kyWgh/8ANaRy68kNr7mhrOH716kUQecACFrx/+kATiwQcp6B91FN1Ev/qKAlRtLd2xysv5PWeOETbfeQe4/npe+z59SGivvJJE5F//n73zDq+q2P7+nOSkciAdEggtCSF0CAmE3quKvaBiuaKggmBv13It1y4qKCpcGxYEUem9l9BDQkkjoYROAukJyTnZ7x8f1zs7xwRQ4ar3d+Z58iQ5Z+/ZM7Nn1ny/a61ZaxbtqKjANfS22y48h/4X5NNvkU2irPvmG96BWNXatcPiKvnhevdmHk6fDpn+8kvmcrt2KAAWLwa8fv8957Hvvx+FwNmz7BPBwcyrs2ch6jfeyPu56iosG35+PNfPjzndoAFz/rnndBCe+fMhjUOHMi/+9S/WwpAhgPLTpyExublcs3gxCox77qH9PXsyZwoKcBG95x6saE2bMkcTE+nfTTcx93fvpj/Tp3PfBx/wf1kZ66qqigA0u3dDxgICmGtxcazdn35injsc+kypp6c+59qvH/PyhhuwAFmtmjRKQJSCAvrSvbtO1q4URKJlS+a35Jv74Qfq2LJFJyQvK9OBaD74ALlw7bW0w90dOVJcrOWKEJ6DByFwO3dqmWImz/PmsZbFEicKNJF527dDtIYM0fjMbkcJY7Vi4RO36eJi7unfH5wiueOeeYa5Jm6ou3frBPLiWrxjh/Zi6N0bcrV3L66Z0iaR0fn5WAXl6ElyMvOlrIzx7NiR8Q4J0Tn/xHJqt+M1INbX4mLq6t4dZZqkYenTh3tOnEBhkZ7OHNi9G2WIw4HypH9/co4WFfE+xBPqfOV8sulyumheMIKdxWKJVUo1Ngxj4fkqckWpc5XfWswJLmsrzkDuQu6SF1uc3TTLy/VZHmeL4PnOByn166AqZtdKuc+cf0vcJOWwsFLVAzzIoWC7XfuaP/QQwrNnTzRVQ4bwW9w8u3VDaK1cybM6daIOmw2tpM2GgJo4kbMx33+vgxf8yS6aruIqFx2gpbb1b3bRNpM7cyQ5WWMCHOQ7yZNXXAywkxxSQu7kjO6PPxKNrl073eYBAwA2K1fqcykCWDp2BPSOHg0BeustANzatXwXGAip8vCA4MTE8Ny2bSE/0dGA67Iy6pS0BxUVgOusLOpITQUQ33EHwPWpp7BW7N9Pv5o1A+itWUNdkycDCCMjIQKNG+O+tnMnGuo77+S5XbvSnu3bAaCbN2OxGzpUyy3R+HfsCGB68UXG8dAh5NWkSYzb7t06QMOyZRBehwML37hxtFnC7M+YAZGQIuHwXaV68fbmXHVlJVatJk0gP5WVuMr94x+A1ORkSHefPozrww9DZK68kpQJP/7Iey0r42fOHPaVxo2xhg0fDoELCNApGE6cwApy7bXMIx8frHOengDgYcN4nqcn5K60lDn12WcoKv38aKd451gsWMK6daPNw4bpfGtPPkk9RUWQraIi1kF4OGvkk09YnzfeCGnr35/+z5jBvH/pJeZ1s2asv6uvhpj16sVaPn0aIuvpyXVlZYznokWMc0QERDg7m36/8ALr54Yb6MvixZCErl253tOTvn/+OetLKZ283dMTy392Nnu0JJTfsIHP5QxYx45YuYqLkS0xMYz1FVdUj2z62Wdcs2cP7+zhh7EQJicjg9q3pz7J9bZqFaR8507kTHk5Ct45c7BWuruzJgcM4LsHHuA9KMWciYqCvMq5t7Vrdb0DBrCWk5OZCwMHMi/c3cEv3t7ai0nko5BVqxWiJoHhlKoeFMtm06k9HA5IbLdujONdd0EMs7ORH+PH807y82nPBx9gKR06lPeiFOdGDxzQuE2UdHY7CpAHHoAk+/hgIRRi3a0bcldcNC+FoeES2ip+W7FYLG5KqXeVUndd6FrDMD5VSn2qFFqoy9syV/lfKGKCP58FTwKLiMvVhQhXbQvO/J2zpt9sNavp/vNZC+TwrpyN69tX16eUtq6Jy6X4dmdkQLwSE2mHJDIdN04DTquVa6dMgZiZQ7tLhChxfenbFwFYXg6w6t0bwjdmDNo2cT2tqEBg9+6tUyccOVL7+LuKq/y3ysVY6WX9m69xtpabr5XD+d7e1deYuB2ZtdeffAIJk/Mf8vyBA7Uy6q67dMh087lAIUNr1rDG1q1jXVZUABjuvZf1qBTu0k88AVjbuBGgO3Ei7myzZ2v3p6lTAc/z52OpEBK6YAGETDT9hYVYwrp2BcTY7TxDEkC7/aIiTk5GRogseuwxQPFttwF8JTnzf/4DcD5+HDlTVsYzW7akHzt3oj1/8knI3/btjGl5OaA0OBggfM013DNzJtY9Oav49tv08brraOOVV0IId+0ClDVsiCVH8pa5zuDVXIqLITGGAbFPTeVdTZvGGI8bB6nJymKsDYN3M3s2rmXNmwPyf/4Z0P7UU8yNNm2w/h44AHE4dQr3vzvvxBpmsaAcFLe+3bt5Xy1a8M6nTYMUvfYa9ZeWYhn09IQw7t9P3QkJzMclS7hm+XL2rrAwPVf27uX77t0hYg8+yHqwWlGCZGbyM20a7bfbqbtJE+ZwZSUWyYkT2XMNgz7u3Qu5MwwULOnp1L1xI30+cgQr4zffMM+Voo9jx+oIol98AfBfvBhCOnky891mg1hNmYLVSyx8YpgdNIh3s2IFUWgnTEAeJSczXkuWsGZSU2lnXh5j0qoVMkMi9m7axPt9+mnkweTJOjjM3r3aArhnD/V6e+OC3rs3YzhqFNbWK65gTrRpQ9/kXH/PnvRPPIa6d0eZI94IomTr3Ztnd+miCXyPHlo2ivt6374QpMWLkaGdO9MXSUnTsWP1/JsJCaz/BQsYi/Hj6UurVsgMf3+I78sv8662b6ffw4bpwHHR0Si+ZszQR1L27WM9pKWxhj77jOccOkTfWrcG002bhofCoUPMZ7tdj3lUFPP4UriPX04L3oUi2NVVSrVVSq2xWCwHlVIJSql5rkArrnIpihzMPV/kyjVrfh1B73yEqyZrYE1af7N17Xz1musw/+1MND09NWAUsiikVIjZmjUIrYwMtKtJSQi88nIA4blz/BZX0fJyCKAIVKWoMy6Oz8WaJwee7XY26m7dEH5jxuCiIlrAtWsZy6uu4jl3302dYWG199tVXOW/XWrLCWku5rO5shbFku58jlbSHmzejDVt7Vo0/qIskTratQOcOT/XauXzxx7DBaxPHw0WRGny8MP83bev1jJLcuUJE7AIPPooJHPbNq2JX7CA5zZrpqMXrllDm++/H0vHVVdh3fj5ZwDOgAH0Y/x4nhMQwHi99x6gIysLUrR9O6SpfXvaV1XF+Dz0EFp+X19AeG4uGngJZ56eDpAfPhwgFhjIeE2YgDxxOCB5V1yBXLr3Xq7buBFwdOoUfXN3h+i9+y6/Fy3CtW/ZMs657NnDs0aMAGweOcL9cm5QZHl4+CWYVP9jxW5nDxg/np+wMKXq1cPi8NZbvIvycki6tzeA+D//IehPURF7wuHDzDuHA0JhGMzlb77hs5EjURQcP65zHorlKCyMuVavHvuWjw8Kw59/Zt7v3QtAfuMNiJm/P7/376e9Awfq83KiDGnblrlqtfKsFi2w1OTmYk0Rq1bHjpA6pSAIAwcynzp3Zi986inmkrgvX3mlXq+GgSInMpLxOHYMS+XGjTr4j7gdT53KWszPx8L17beMSWCgdpleuZL+79mDNXTBAubwkCEQIrFi5+cz17OysKCtW8caOncO0mC16qBIQnDGjYNMu7vT3rZttQXO4cBa5empz/F27MjadnfHhTUjA3nj5gapKS7WOOHQIfoXFcU1O3aAB6xW+lRQwLPi4xnbBQuQDzExtFcSo4v1LToa2RAdjSx65x3WfUWFPpe5Zg117tzJODgcyOLycshw9+7INqXoi7i57t5N3202ZKKnJ2OplA6c9dVX2sshMBCCuW0b73/mTPqWnAzmElfNTp2oJy8POdm0KWMi43/99aSICQ3l3VutYCpJ0SHr8I+Wy0nwzhvBzjCMAsMwgg3DaGYYRjOl1Gal1IgLncFzFVe5FOVCEfSU+jVpE9dG52K21kkUS/N15nNwzvXXFolTtP+SYNRsiTQHdFBK557x90fDtXs3RGztWgShw4FWXCkErAhjAYTFxVyXn49GsVMnnUh07Vqd/0o0dXY7AG/sWO320aEDdbRvj+uIHBCWzc9VXOXPLhKQoCYFjBRz1FqzVf6DD3RUS+fIugIaN23i+gEDtHVPrnV3Zz2JS6czUZT1LZZ6pXSuvIoKrZhRCsCwYgWAQuTO5s2AmKQkHX1y6lQA8fHjrP+NGwE3s2czDj16QLReew3AWlGBa9jHH1NHcTHARYJktGwJaP3mG9xJO3YEfObnA+p69kSLv2UL4GbJEtr19ddYXyQB8tatjFefPoyV1Upbz53j3TgcgKTYWOrr3Jk+790LUPr2W9odHQ3YGzyY6xs04AzQ7Nl817IlxPGmm7Au7d7NZwEBeuzF08BVdLFa2Rvefpvx9faGsJeUYC2LjsYSGh+Pheq115gvMTHaJT84mLnTujXzoLwc8nDsGHvQ0aOM/S238H9UFNYRCcbRogVrZ9w45oGHB/PtH//g+2uvhVyEhHBvx46A4/ffx8omQPvsWebm888D4uPj+X/xYub7kSPMpXnzaJPdrs9wTpkC2M7IAJRHRmKt69YN4P7MMzz788/1mOzbxx569ixKmx9/ZG/MzOTowqhRgPudO5mHDz2EcsZmQ9ExaxbKikGDmKuvvsrYenigWLn6avry/PMQxbZt2aNPn2Y97duHMsfDg/dRUcF4JSfTFrFq22yMw2efcZ7Rx4d3+/HHrPW33tLJ7fv318nEZ87knjvugPiMH49lbuNG5MXHH2OR+u47CO+ePaw/8UAoLsbCt24dZPjKK5GVjz2GzNq5E9I3caLuW2YmSqehQ5lbbm7gHFF2ffIJ7Rw8mLG/6SZkaFkZbb7rLuSLpFeYPh0r27x5zJNhw5ifH39MXyUn3qRJyLEmTfg8KQkl1bZt3Pf119SdnIzlTylkYFoavx98kLoPH+a93HuvbvO6dZC7Bx9kTkRHs87MaVsuRZCVy0bwfkMEO1dxlfOW36PJqC3anfM15yN35rx3tUXJFJJljrAnzzUDvJpyZ8m954vE6fy3kEWx3q1cqc/oFBcDqHr1QqAOGAA4GjQIQdO/PwJfcrhs3qyDp0iOrfffZ3Pu2ZNNrUcP6h01Sod5lyKuaEOGcM/w4Wzas2YhvJT6WyU6d5X/8SLry+wCJKUmy5p87u2to2A6552UdTtgAOtFtMR2O+tSclXK9+YQ4EuX/jrPkiT6VUq7ZlssWACKiyFsrVsDFDp14rr8fL7btEknpBbt9XPPsf6HDNH5MyMjqfuVVwDQSgGQPD2pa8YMrChff805rF27+JFASqNGAYYrKnBvuuceArasWoVVZNQoAFh4OODsxhtp28svc2bpyy8hu7NmAeYmTMAd6eBBgLec6amoAGw9/rhSN9+MRcdqRW698w6EbdgwHYp91y6d4iEjgzGKisJd3dNTn6Hy8wMAKwVhdJXqRSJBlpZimc3N5T03awYpCQuDTLm54VqZnQ1Qr1MHV97OnQH2Fgvv4exZ3Bk9PJiTAQGA9TZtIHQHDwKkP/kEMifnvjp0YJ7t369zO06fTpTBLl20VXDHDohB/fooD6KidACXwEDm4L//zRz19aX9VVU6MEjdulwXEkIfxCpnGBCnqipcTleuZI9ctw6Sl5LC/paXR79GjGBM8vNRfmZlQYRsNpSe4eGQrnr1GKOoKJ71/PPUEx7OGD37LGNSWsq5U8PAulNQwN+PPAKe2LiR/VspnTagpIS1HxEBkZo5kzXUuDHvY8cO1pefH5azZs1YUxUVrMmOHVlvjzyij4coxX3LljEX7riD8W7VSlsIlWLMRo+m7vHj9bnBDh2QXwkJrMNXXoHoi+Lro4+0nO3QgWtefBEi2aMHY/nZZ7x/pbRL9o4dyKN77tF5+ZRCzk2axDPvvx/39fJy/ndzQ6a99BJErG1b7hFFtqS0EUvmyJE6NUx8PGMu5xtHj6YNxcUonzIzqadpU/r/xBP0p2lTlA5LliCzBg6E5F91FWcuP/8c8i5KNimX4gze5bTgKcMwFhmGEW0YRqRhGK/+8tnzhmHMq+Havi7rnas4lz8S+OSPLBAzGDQTsJquUerXljcp5wvu4FxvTWeDnC188izR6Lu7IwT79tXn5qQOb299lmblSgDY7t0IEU9PQN3kydQrB4HFjWzDBsDoxo1ssJ9/jhZe2tuzp87pIs+S8wNma6MEjXAVV/krFGfFi1LV3TbNyhizksdq1Rb82s7vieXt3XcBT9u26e8ll54oaYQIrlwJ0cvP1+5L4j4oZ2BvuAEw+MEHgCNJgt67NwTpppuwWnXvDvjo0AEQJKRq9WqeUVEBKL3zTupeuZI6pk1Dmx8djQb83DmA7siRaPMtFgCLnMFbvZr2ZGQAfEND0U4vXEhbJaLgW2+huT55EjnxzTf67E+bNpxt2bIFDblE1lu6FEAnoe6vvBIS98MPEMFOnWh7eTmgyeEA1H/8MaB+3TrG+LbbIKRt2nCvxcK9ctapspIxPHDgEk+w/4FitTJ/Vq+GeJw4wfw9eRJy3b8/cy0rizkWEQHg378fAN2wIUTk+ed5/x06MI+PH2fuf/ABe5G7O+Q7MxNLyODBuHg6HFwbGgoIz81l3p05o0mWuAXu3481LyCAeyQk/c6d9OXtt9mD4uOxiISF6dQjOTkExFCKZ8i6zs3l2Y0bc33TptxTvz7td3ennQ8+yJxv2BD31IoKLJK33QbQ//BD+nbzzdTh7c0aWriQeb95M0Tk55+x1vn48MxXX6VvW7dSp2HQtnHjIA0pKfw0bgwZ+f57CNOjj0IMZ83SZ2sbNmTur1jBe9u2jWtiYxmjRYu0NXPwYKxU8m4aN4ZoCxGz2SAhKSkoU8T9srxcJxX/9FPW/vbtyJbdu3XE2vx8CKcEo+ncmfUtkUrFJT0pCYtbaipzcMsWrpE8ft274xa+fj2Knk8+gXT26UPb9+zBk2j8eOp58kl9/u/ee2mPJGd/6CFkaI8e4CF5VlqatkAOH877eOst3tn69cg/STWRno6cueYa+rtrF20V5ZOM5ddfc19xsY40+uqrKCJ27WJOxsXpdVhc/MfX8mUleK7iKn+0XGwEvEtVnCNgmn/XdG1tljcBivK3s8uXfGe+vrZzfnIGSCx+3brpqJw9ewJulPp1smU5SyFWtuHDEWg+Pgi0TZsQYuKnLnlulNJEccAA7pFocwJ8lyxhY0pI0KB5/nwE1Nq1+oDwli01j52ruMqlKL/3nIK4aZ7PbVOs5ELs5Bqz1U0pfT5vzRq+f+AB1ljbtvoZct277+r/hwyB2JSV8fnp07i7vfaaTpkgQY6WL4fI7doFSBw0COXL3r3cK+1KTgZ0PfwwYMrfn7NKqak6F9zYsdQ7ezbkatQoLcOio3GXuv12CNmbb2IV2LIFoL9iBeC3ooL+de2Ku9OuXZCmmTORJZmZANSYGICRhA3/7jtA9XvvASjj4rDGJCRAMgcO5L7lywGA6ekaRC1aBBjbuhVr3Isv6oie+/Yhj/r1w1Vz5EgIQffuaPi7dwfURUfrCIZK6SAxf7disVgaWyyW1RaLZZ/FYtlrsVgmXMr6/f2ZJ2FhWL58fJgHDzyAy1lODoA9L48517gxJKu0lH0gIwOC07Mn1hIJRJSRwX5y8CDr6p//xMK7cSPvNjCQuRgSwrtNTYW0+flBSqxWLB8bN0K4Tp3CVTA5mXVlGPr8XkYG4L5jR4hAVBRkv1495v399zP/7HYdnTY6mu8kqE/fvvQ9LAxyOXUq87FXL0hMdDRkLywMUlBWxtw9dw5FSng45OOJJ7DOZWTwnZsbbs4jRjDOvXrRlrg4+mW18vcVV7Cubr2Vug8cQDZMm4YlX6zVoaG4NR45Qt2RkbRt924CpSgF2WjYEOLx4YesaSGSn3yCTOjYkbH89FMsl1VV3CseDNu20f+WLRmL0lLGVpKK33STTurt7c3avv9+1vYTT0DCt28HX6SkMIeefpq5YbejGLvuOvrx2mtgHYeD9ohbt82GBeybb/i+RQusnkuW0LaJE2nD0KG0ITGRPrRuTT/lfF+jRtSbloZiqUsXnpGYCHnv2pX/772XdykBZSSYXHk5z7nvPuacpyfjsn07783Pj7kr5Pvjj3V+RD8/iPjKlVhC69ZlLktblfqbR9F0lf/9cr7Ik7+lXEwdv+dZzvc4R8C80L3ma2uyvCmFEHj/fRa48zUSMl2p6mBS3LrkGfHxCAdxp0pM1NHqbDYEmljNnNslFkbzWZ2yMn34XPLOjBsHMXN312HKly3T52F69tSBWbp1Y+N94w0dRfPgQeq6+27cYOSg8qU4KOwqrlJT+S3r1XyPKFf69q3Z5dLsYm21Mt/FUt2zJxaIDh20MkXSj0gd27ahQBHXIDlXt2EDoCs/nyh5o0dDxMR9ytMTECTnVq1WiInNBlhJTeU+sQz26UO73noL7fy0aYAFT0/IkZRduwB8qal8N2UKf3/1Fdrq554DdG7eDBlatgyXqFtuQc788AP9ffppxsrhwJJ47bWAIDlXEhlJPV9/jQZ91Cjkw7vvUsejj6Jhf/ddgP3hw7SjVSuAuOQoGzAAkLxzJ+D255+1FaNhQ+6LiMCVdOtW+uBwKOXlBUi77jrGdsECxiYyEkvB5MmAfMnVp9T5oyz/xYtdKfWoYRg7LRZLXaXUDovFstwwjH1/uGI7c2DNGkiJxYKl1tubuRMejgJAKchbbCxA38tLRyq8+WbmWnQ0c8rhALQ3agSBEXfB/HysxY0bYxEsL+c7Hx/e2dy5zD2JVnnzzcyNsWMBx/Xr4wIaGsrP9u3MuebNIYm5ucyp8eMB92FhzIG5c+nnvHnM3+nTAfJVVYD4s2dZ9z4+EKaEBPrg5sYc//575uaZM9TncND+7GxNfhs1Yu0JCfXx4Z68PPq0ahVEoKwM68+jj1LPvHnUeewYdVks9GPPHsa6d29tzdq8GVJx332MUXg4ZEfO6V5/PW2VnHdKQVA2bQJXpKVBfJTSpOu22xiHmBiIyzvv0N6EBM7xNWvGe5VE5k2b0pabbsIiNWwY86RNG+TFxo3ITKtVK2kEMyUmMgY2G2MWHg6OCAyEQG7bxthJMDyxvqak0Kd+/dgD3ngD+Tp3rvY8EuwSF0cf5B0VFYFRHniAMY2I4Fnz5tGWhQt5Vnw8luWKCubUrl1gue3bmV9Cwrds4R1IAJXQUBRwGzag1AoLg3x+9plOOXXLLdy/Zw9nilev1kGLpEiqqT9S/qb6K1f5q5faXCsvB+D/PW6czvfUFL3yfMX5WufzdWvWaADZseOvz9IJUDRb7Ly9tXVOcmr16oWQkxQH8ly7Xef5EzJo7oNSum4J7GC1IqRTUrQ2bNs23XZ3d75PTNT+83KwWAK2yJm9tm0ReOXlaL/S06nr+ecBWXXq6D65iqtcjlLbenVei873DBxYPR9kTfUKEVy6VBO0gQOZzw88oMmdrNENGzQJ7NePtSohysUa3rMnGvXHH4eAWK0AhUceAQzJuY/p03l2y5YApblz0Rh//z2fz54NYMnPB2yEhgIsy8t10lw5qyt58VasAJRVVOC2WVwMuJs2jXZaLKzfRx/lWTExWONefRUCtnMnmmeJovvYY4CZXbtoQ0oKoPToUU1qb7gBmWGxQLquuELnx7PZIGoSnKC8HFAUHAwgr6qCGEgQg6ZNAZbe3pC98eMhnLNnY9HJyUHjLyHZFy/Gkudw0Mb0dK0Ue/fd3z3l/jLFMIzjhmHs/OXvIkWcg0aXom5RLBw5wjvKytL56eSs1JtvaqWEuEOuW4dFOT8fkP/zz7yPo0fZQ9q1Y45MncpauPFG1lV2NvO0QQNyRco5008/heQcPEhdK1ZA2CUxeLNm7FkFBVjlJJjLunU89+efsW6JVa5jR6w9YinMy4NMNGoEFvjnPyGOZ89y38mTAPrCQhQmSUk6Ybe/P/OsvJzr9u3TOe7c3Phe8rjVqcNYjRrF2LVsCZhPS2Otz5+PQshmg5TOns06HT2aZ7zxBnPc3Z2Im7fcwvedOjF2hoE1q3t3+nLHHZwRi42lrsxM6n/8ccZk6VJcLfv1gximpSGHDhyA3GVn8/Pll1htKyuRPU88gey4806uveIKMIgEmVq1CoLm48M4pqRA6DZvhgR5e6OIuvFGMMKECbxHSRD+2GNYziSdRtu2KIwlWbg54nmbNqzrpUvpo4z1sGG0Y9Ys3kdCAmT24EHkdq9eKAjS0pAfbdsyF77+Gpl63XXIrYoK5vWdd9LG1q11sBjJ87dwIfPn9Gn6Kq7zUVEonpRivWzaxLjn5rI+jh8Hz3l4UN/Wrcz94cP12WClzp/D+WKLi+C5ymUp5wtK8ntJX20T/ve4cZrvcT5r81vqUKr2fomWqqZInXKg2Fzk7Jvk1BLyZk5kLsWc4sBu10EbpA2LFgF4yssRdGvWIEQ3btThkaVuIYtxcYC8+Hg2HgmtrhRkUA7fi2uCnDmqqOAnPJz7+/dHyCmlLZSu4iqXotQWDMX8fU1RaZ2vESu4UrWvXXFtFmJnt7OuPvqItSRn9by9AayyHoQcrl3760iZ48cDIry9UfC0acPf+/djwQoMBNQMHardPCWsdv/+gJdhwyA/O3eyRjt2xGImFpP58wEUP/2EhWHrVqx0Dgdgu29frpWIgZLEvFUr+v3yy7jbffIJlgUJEDNwIEBfcmxKQIDKSmTCsmVYdCoraafk2PL2pu7nngPkjxmj8/hJPrIzZwBA8+fzeaNGALDvvoOsdeiAJeS227hn8mQA1sqVyKRmzQCkWVmAYaUAtQsW0KbWrSGKVVW4Q0m0x7+ri6a5WCyWZkqpTkqpXznEWyyW+ywWy3aLxbL99OnTF12ntzdk28ODeVJQwBg3bgzZEVLk5cVnknsuIYGxfeklnTS7WTMIg+wfTz7J/Hj1VdbJiRPsE0FBgOvkZMhav34oDIcMATzHxgKEFy/m/GZiIveePs1P+/aQnIYN2Yvc3Kh37lzW4qlT/A4JgYjFxzM/6tTBqrNrF/tgnTpYeIqLmUvz57MmJIVHSQl/p6UByhs3Zp3m5+s8lnffzb1vvQVh3LmTNXv0KBap4GDWc0gIRHrNGtZGjx6sW5uNNRwdzfn3Dh1ob/PmrKuZM7EOiQtlVRUErlcvFEajRnF/586Mx8yZrLMnnqBOm43vPv6YMXnvPWRPdjYkePhw+pScDM5o1kwHKrnuOlxLhVDv349CuFUrCJp4ILRpw/hWVfGsuXOrB2tbvBhcIXntJP/c009jTV28mHfy0UfIh717eb+S1L11a343b44cS0rinfTvDwkWl9LYWOpevRqZ1qcP3gfDhmFVKyvj8yefZD516kS7Cwr0ec527cBHy5ZB2MrKqPvwYeRQ+/YQxCFDuC42Fnk5fDhrpEkTZKEkal+0iN9FRZDx3bupOyBAr8GzZy96udZa/gfEm6v8VUttQUlqOqt2IZInyYDPR/IuVGoDh85nbX5rqalf5tQI5nM45s8kmavZiqiUdrs01+d8Pq9XLzRj5jNzouGSaHxK6bM8YpkbMAABOnhwdYLqcKBli4/XLpu7dkHUpkzhurg4BLmc6xNXnu3beYacU1qyBI2YUq5Ewq5y6crFWuqdo9I612F2g3ZW9EgpL9fnXOV828qVgJcHHmDtyRorL4esLVumc+AlJOjQ4nLNokXIMPM63bOHv1u2BFx16aIVNZLvTSnqmzULwLtnD+CurIy6lizhd9u2ELCBAwEovXrxzI0bAZdvvcX6/e47wENeHn03DCxkNhvWgt270fq/8AIuWe+8A4ncto12bNwISDp2DJCyYwcgb+9ewM6KFVje4uIgXVddBaDv2xdLmsNB+zIyAIEPP6yjMb70EuBMzgtFRfHcKVPQ+EuutQ0bsCpMncrYLV8OcJUzS40aMXZffkm75szR7yIggLFTCiD/dy4Wi8WmlJqjlJpoGMavpK1hGJ8ahhFnGEZcSEjIb6q7qgqC17y5DpRisQBwGzXivfv5YWmSXHW5uQDs48ch4717Q6hbtUIJ0qIFIPfoUeZF/frUceoU5O3sWQB/SQnvdO9e5k6dOtzTpAnuoOfOAdILCtjjsrIgDh07Yn2uXx/Xu169APKSR/HBByFiGRnMqfx89rM5c5jzERHMvSuuoP8ffcQ8/vpr+ujhAYGKjmbd1KnDc6+4AgAfGMjYHT7M7zlzIEe7dzPnUlLop7c31xgGe2R5OeRr/nys8Pn57MXt2jHXd+xg7Y0dS/98fbF4DxoEmT1yhHFITITkZGZS94gRjG1gID+vv86auv9+rPUtW7LeqqogOSkpWPU//RTiFxfHeBw9quVR376svXPncDfct491ePPNKIY3bgS/JCRgrevUie/T0/nt4wMhf+wxxvXBB5E7W7aglF64EGtqw4bI3sBAZGuLFmCNPn0Y88xM3u/jj/OMTp2QJ1u3Ikc3beKeO+8Ey+zZwxw8fZo2V1QwvgkJjPXjj0ME77gDBUBKCvMqMZE5u3Mnv+Pi+H3oEM9p1ox3PXkySovNmyF6L76oz057efGOCguRj//+N20dOJB2BwWhKDhxQq8/kVF/pLgInqv8V8v53KnOV7y9q581+63lQuDQ+SzO+UpNJFMAovk5Qsqc/5b2mC1oAjz79tXg1Jxs2ey6KcFWzH0zJ0cWV7HWrdnEsrKqA1mJCChWiA0bAE99+qDRKy5GqPfsiVCOiaE+OewsoZnNucFatKAepXSCVKXYzFzFVf5ouRgXanMgIvN9Zoue1OEsR5zX6Pr1rDlZ1xKCe8AA1oY5EqY5jcKAAazhjRu1a7M5Ncn+/VoZ8sgjOqx6erpOxBwdTb09evA7KQlwIRb7rVsBEAMGAAgefxxQmJKC5jg1VQcqGT4cy9mXX7KOJcz5xo0Qt127aK+XF8/58EOe+fbbrGlRJL3/PkBk0SJAzJdf8vzjx5ExsbGAtR9/ZP0nJiJ/pk/HJTI8HDcphwNwdeWVyJtbb8U6IiHC4+MZ3wcf5PoFC7h+3DjAb//+jKMAq/vuY+xeeonrfviB/GT33ssY2e2Mx7ZtkIeqKsiJpJgIDv6dE/IvUCwWi4eC3H1jGMaPl7p+Dw/keHo61pedO9kbKishVr6+EL5vvoGs1K+PkmHZMtbR22/rM5uzZ/N+SkogaHl5EJDrr8fF8e67qWPNGohDWBg/Hh7MM3d3CGFQEG5xktstNxeSUr8+ZHDnToDy7t08q7AQUlBaytxIS6NOLy/mXHQ0xKRdO9ZPXBz3nz4NWXzkEeZqZCTrxzBwAT16lLkUGIjcmDGDva6oCLkxZgz9WLiQ+Tp+PO05ckSf9UtOZi5KqoLUVNp65AhKiIYNOetYXMy6u/FGzpsqxXtZvFhbQbt3hyB++SVj73BArG++GSvhjTdyfrd9e52Eu2dPiO7atYxxZCRjKRbawYNpt7c3JFnGKTeX9kdHozCaOBEL7n33UYe7O+9j6lTGIi6OOu+4A2vk9u24VN98M+N4xRUooLZuRT46HLzrhATkiuAJHx/eSXk5Sq277gKvzJ+vo4OLq2y/fuCRadOo+847afO+fciiykrk0smTfHf6NG3z8+P/Rx9FgfXmm1hc27aFUB44QB9XrKCP7dtrcr13L+0aOZJ5mp2NjJszBzIXE8PcevZZPDRWr4a4r1lD2w4cqC6PDOOPr2EXwXOVP604k5oLlT9ynutC4PBig7TUZkkUgKiUfo5YBZXi7zVrdO4rAZ1SnzlKX01tk+AmZtcysRJK0mIheX378rcIxBtu0PVKG+XckLiWbdvG+I4dy+fOIXolAItYL5Ti77590bzNm4cgt1oBX6LBLCi48Ji6iqucr5hJ2vnWr3M0TDNRU6q6wsRsWTOvCXPETAndLQoUScotbVmzpnricglMYbcDNNetA2xUVOiUBy1asNm/955u45NPAqy6dQMU3XEH4dPfeotrJIlvz5648yQk6PO4wcEoZ8rLUeRMnQrw6tIF7f3Bg9SRlAThevRRNPZXXglpe+QRwF6LFgAQs/tRy5a4eb31Fut52TKunTgRq01ODpa/114DFEn0wlOnAFAVFQCkykosBhMmABAPH+a7M2ew8Jw8SZ+aNeP/jRsZl9OnAbnNmwO87HYsJjNmYFFKSQHYVlQA5LKz6cOTT9K+H3/UrqcvvMAYCnhOStJz4u9YLBaLRSn1H6VUqmEYl/xUYW4u87ywkDE8dw5C17AhSomzZwGxbm5YMsLCGP/FiwHsjRpBfnr14u9rr0UZ0Lw5Vuhnn4X8fPcd7/Kzz5g3Er5/6lSAvcUCgE9MBOSfOAER8PaGENWrx3X+/nyflAQw9vVlLixYQP0OB8/eu5f+jBzJ80+c0Kk8ioshaKtWQQTj4lgjhw/rQCT16jE2EybQn02bICoNG/Lsjh1ZF+++y77o7q7TSIwdy545Zw7zLiKCOjw9AfyDBzPHs7IgQR9/zPouKGAM3dwgxErRnrvuoq89etD+f/8bojxuHO+iVSss/Q4H63jGDAjiW2+xPsTKevIkf8fEMFYSxCgnB1n04ovInago3vVLL7FOn3mG/T8kBEWSUrzvtm1ZZ6mptKVvX8jLs88iEyMikEM9evC81FTGccwYlE5C8pRiLr3zDu+zrIyxfv99ZI63N3VNn867TU/n98KFPH/xYkhZQQH3HTqk8xI+9hiy7+hRlEwLF4LNOnfWqVMMg3n49NMoB9LTwVz79yP3Vq/mnQ8cyLPOnIEQ799Pu729IdAjR3KNuDp/+SUWQm9vsFlwMN97elZPbi7ut3+kuAieq/xppTZt+uV8Xk3FWct/vmK2JJqvdSaQkhxdAKckBZdrhaQlJiIErVZNAAWECoGz23XgBnE5E5IpdW3erJOVKsXG0r8/JG/QIG2BMFvxJJGy2ZVNQOnrr7PRPfwwz+3TBwGkFBvh3LkIXqXQkEVFAY7nzGEDFreF3Nzzj6eruMqFysWcsa1JlsjaEKImRdZ7cXF1S523tyZ55jWxcqWOkmlWxCQksKaXLWO97NjBdTYbVrUuXdDS//yzPm8mgQWkPV27QsSUwh1MzrkImIqPB/iVl0NcIiKow90dWZGUBGmaMAEQXVVFe4cNgwzde692Be3QQbul9ukDIF6wADC6Zg3tkmiB27fzjNtvp/1DhwKE774b0JSZCSlMT4dEfvgh/Y+IAAS7ufEcwwDsPPusTk7evz/j/8ILkK0RIwB3b7+NdnzUKAhmUJBOUl1cTLvmzkVGLV+ODJwxg7F1c+NsUIcOAK2YGJ518CBjkpMDSZw9G9JgsTDmclb4b1h6KKVGKaX6WyyWXb/8DL9UldtskKZjx/i/qIh3aRiM57FjkL7wcEiNhwff3X8/c+3cOebHxIn8f+gQRGDvXsj49u1YP3Jy9F5ZUMB7Dw7mHJoA87NnsUb98APtSkvDCpWfTzvKy7GO3XADbT1yhDYuWsT1Bw5gXXNzY30+9BAuhmvXomyx22m/ry/7aGgo9WRlsXdOnoyyYdky+lK3LpaaIUPY37Ky6NuhQ4zT8ePMz/r1IbAREbT57bfxehkxgvYdPYryQxQaBw9i2XzpJc6+KoX8OHYM4B8czDpNTYXgXH01hCY1FYI9bRrj+NFHOh/cd99BKI4c0f0aMoR9urCQ70eOZK27uTHmiYkogYYPp52Rkay9UaPo+0svsc7sdoiSePzExen8dY0aoSB6+23k0ty5eBJ06UJ7iouRPQkJvL9p05Blolj66SfW6sKFWNDGj0eZY7HQnlWrsEoqxec+PsjBrCzkyxtvQCKfeQZ5MXYsYy95fhMTkQ9VVdzbsiVyqnNn5vGGDchQd3fGy8uL8fD0RO4qBcZZvhy5Z7GgnLDZUFa8+CJjtWwZhPStt3gfQ4bg8VC3Lkq2xESUA++/z/wrKdFr0GXBc5W/bRHr1W9NbXA5ihnMXcwZH3MKA2eS51yfaPTlc3f36ud7hLhZrWyUYoVTSgdPeeed6uPl7Q0p3LChepAHd3edD8jcHrudz52tjp6eGrgKeN2zB8B76BDASVw15Rlvv43gnTWLDfKddwB+skF/+ikASzRw5kPDruIqv7dcSE44W+bktzlIkaQ/MEe+jI9nk5W1IZFszWti61YA3fz5kI3Fi/n74Yf1fRYLAEPuKS6GkLVti9bd3R1AsWYNlicBdr17c//u3QDekSP1+dWnnkJ7/OOPaPwHDsRS/v77rE1PTzTSGzYAXiSP1bBhAIsffgDMvvQSxMzHh89nzQKYSXLet9+mHRIMasEC5MBPP9Gu9HSUPpmZnNOR8UpNBRg1bEh7JajFgw/yrJgYHT10xAjG5cAB5EVYGOSsshKANHkyz6hfHyvHyZPU2a4d7Rk6FADZtCn9DA8nvHh0NP/HxmIR2LMHkJ6SwrPCw/mdmqpztH39tQZPf9cgK4ZhbDAMw2IYRnvDMDr+8rPoUtWfnw+pCQ1FhsfEINOPHWPMGjTQEQU3bdLpBNauBcTXrcvnqalYNDZvBmgHBvLdtm2QqhEjmPdt2jCX/f2Zb5s3U89PP+lAFfv3A4BlHjVtCtE4dw6rk6RNCAhAgdG/P79jY3lGaiqEbOZM2pqVBak4cEDn+ZO1GxqKS+P69bR50ybm/D/+ASnt1w+yarFANLKzIWfLltHegADGb/p0SEBFBX9LrsjiYu5NSGAuRkVxf58+zOezZ5nzP/zA2szN5f++fXVEx/r16bvdjoVt4ULq+cc/sEq1acN76tMHpcurr7LGY2MZ2xMnIGJr1+qzq5s2ITMmTdLpAjIz+X/iRN5HcDDuoEuXclYuI4O5sX8/7/Xmm7UlSs7/x8ayNq1W8IGQ8tWracfkycwthwOll1jv3d1x/VyzhsA6H3/M/EhK0sFMOnaEQItyymZDBioFKc3KQlYsXw6xz8pC+fDjj5Dv9HTGbfx43l9VFfXv28e7sdmQc48+yjwZMgTrqK8vc3DdOsZYYhjVq4fS+1//QhY++yzk9vnndW69I0fo89atyLemTfn8UpA6c/mbijdX+TuVmqLYCXG5FKFgL0WpLSiDuZzPYmf+vjaCKJH5xN3S7HKWn68DEyilrQt9+iBYlEJjLa6TZkuFaKT698dy4O2tiaRSbJYPPAAQXLpUp2Do27d6pD85S2SzoQ338aGOSZMARrIpRUSwwXz7LRovNzc08EeOoEVNT2fzUwpi6SqucjmL+fzcihX6nKqzosO8ViW09+bNOs+dKFGmTNHrzGqFZOzdCwERy8+wYawLf38sbPHxrLlly1grH38MELj6aoCZzcYatNkALMePA06XLoW0GQb3p6UhB/r1A2gVFwOqfvzlhJW7O2BSItHdfDMAQdIxSDujo9EiV1ZyRmryZJ5XVoaCpn591uYtt2Dp+/BDQGRcHEAnOxuX1Kws7vnqKyx+EyZAkDw9aUNWFp9bLFhvYmIgroMG0ZfwcNzBCgt1YAhJdGwYAK0lS3gPZ84wViEhPCMtDaD90ku4khUXI2sqKngvkhoiKQmQ+M9/Qqjfew/51KIFYLiykmsWLQJkd+um5effPcjK5Sre3pCU/HyIcW6uPmvk48P7DAxkbBs2hDDUrw/5WbEC4C1JqgMDdYCWsjLmW3k5JHzbNurOyID4tGzJ80pLmfebNuHm26wZc2nXLp7fvDmEon17nWTdwwNw/eWXWKZycvg9axbWsdatuadTJ52iY9Qo2l+nDkqHgAA9N+vU0cGSunZF6TBzJgTgjjvow5kzEKH0dK654grWdGAg5GvbNq7JyaGedu0Yp8GD2a9nzKAvhw4x7p9/zjzOy8PFc/x42ldaynp95RXW3LvvMlahocigkyexZM2bh2xas4bnZmXpHIa+vhC+L79kDJo2pa1Hj/JeJYfg99/zPq+5BvmwcKFWUsXH69QSc+ZAWuQsXnEx72r2bIh7587aRf3QIcb1/vuxqu3YQR/T07HkZ2ez9svKaN+LL9Le5GT6kpTEdcnJWO82bUI+DB3KOMXEoHw6dIg69u7lXU+cSD+7dGF88/Joe2YmWEWsoC+9pM/4PvkkfRJZP3AgsnPtWrwZ7HbIc2Qkc6hXL97voEG812uvZXxfew3PjvJyZPSSJfStc2fmctu2vJfmzVGOy/MuZXERPFe5rKU2S9eQIRCX/3aetIsJ6lJbaPXaLHbm7wVkynmfvn2rXycWAskrJ+d3/P3ZPGw2hO4HHyAkEhNrttoppf26ldKuaEJU4+Koo2tXrrPZaIvDATAVACuWPbN76pQpAEw5c9S2LZraxx7j786ddf4jh4PNc9s2XA5mzcJNRaJnSrAVV3GVy1Gcg684HKwRcYGurYgMEqueFDmHanbr9PFBgXHwIIBLQuxLyhDJ76SUtlyPHQsAsdtpj+RjkmiUb74JIFmwAM36448jF/bs4W+bDWJ0yy2491x5JZ9NmYJibO9eHUjF35/17ukJ2H3jDUDMrFmAjH//G8Dy5JP0a/9+wNq99+IGWa8e7X3+eeTSbbcBQLy9Ac3p6doN8sMPdV6qI0cAfocOAbLee4/+NGqE9nvZMs7mxcYCZG+8ETfJkBDqbduWsWzfHuAzbhxa/JEjIWIBAYDFyEjG6sABgNyyZQDz118HcO3dS59HjwYIXn89hCE7m+8dDsbnk09412VlWIRcpeZit0O4LRbmt4cH1okmTSA3AQH8joqCVMgcb9RIByA6cYJ7AwMB2E2aYLm75Ra+a9iQ+XX8OHPC35+5FRjInPT0hGCVlOiAI4cP81mjRliIJDJtWhrvtWlTbTny9YX0hIZCQteu5bPsbOaq3c56nDOHNZeRQRvE/VT+X7IEYmgY7If33KPrDQqiT4cP0+7du+lbXBzfl5SwtiIisC7/61+srZEjWSeZmbSnoIAxfvtt7clTpw51VlVBSrp3x6I/cSL9b9SIcTYMSIZE0G3YEAubzcYzwsJok6cn9+zeTd8qKrhPrKiSe89qpY5PP0UxJGdUBw5Ehh0+zDo6eJDrBgzAMvrRR6y7N97gvQwYQH0ff6zX4ObNOkhMWRmWydtv1ykv5s7luUeOQC4LC5FnBQWQvKlTeXf790OUW7dGpnl58bz4eJ6fkYGs6tyZz6OitCInLg5C260bY7JmDZ83bAheeukl5tOkSTw7IwMFRFISCgl/f/rzww/MocxMSPXq1cisl1+GKE+axPhJ1Ng339RzOSYGudekCYqLs2cZH/P5u0tVXATPVS5rqe38jJCW31IuNuLm+e43BzepqZyvvWLdc7bUCUGS0Ot9++KWtGZNdRdNuUfSFTz0UPWgDTYbVjv5LimpOlAVLb2ZTL79tvYJl3bLOZ5z5xCw5qAugwcD9oQoPvAAm9+iRfxYrYC91avZINasQSP45JMI8CFDEE7u7tod4v33Edi3304b27fXZ/BcLpqucilLTWfphOQ5k7aLcbd2DvRUXg4Bk3N2cv+uXdoCl5DAZ1u34q6ZmwsQ3LkTUJOSQj0HDvC7ogKgNHMmAG3SJO53c0MrPWMGJO6RR1izK1ey/pOTAQvPPAOI2L6d9fjRR5CujAw04atWQTArKgBec+cC6urWhZgmJ2MR698f4DhxIuBm927Wrrc3GujGjdF033CDtnY8+ijXhoejfVcKQNy6NaDokUcgbHffjUxo1gxtt6cnLqyff849FRWQ47Iy5ImbG8Rs925AUXq6dk/r2VO7c/XogdVQwpp7egJ8b7qJcdy5E81569ZYPioqALUFBVhKduxAvnXtyjmfMWN0FEhXqblYrbzHkycBxg6H/t/hgOwVFuKalpbGO83NZV/Ly2O+bdkC8a+sZM2kp7MXzJ8PgBfrrFK866wsCMypU9R9220Qj1atdMTMoCCIzrZttKtzZywp9etjrSotZQ7UqcOzzp2D9AwZwpzIzKT+igrmrFL0xdcX4B4aSvsbNKC/w4ahZN20ibX2wguQg6AglA6HD6PM7NJFpxCorIRg/fwzbcjI4FnXX88c/uYb+mu34+bYty+AX86zORwA/tOn6XdEhJYpr76qCYxSKG82baINKSmMwfz5OkiKhwekomFDZGJAACR4zBiI1Lx52qLXujXXHz7M2vDyYpztdojIzz+jVJFgNb16sbaWLoU4LlyIm+iGDbRv4ULWdlgY61kpxu7uu5kv773HmLz6KnjnttuQCQEBjN/zz9OGV15B3h0+jFL61ltpsyjZJLLlypUQ823bmDMTJvDu7ryTPowZg4yurKT9UrZtA/fcfTekcuFCFGgSQTwtDWvt7t2M6b59YCgfH312s3Fj3rHNhiyOiYHs+foylmlpmsBlZjIHXngBRZWbG/O1QYPqSc4v2Vq+9FW6iqtUL5finJ2AudqCLVxMFEwhaXY7AqamtAu11SNATzRaffvqAA2TJqFpi4tDWEm+LPP5Nuc2KKWj/kmUPzO5lMAqSul+SzQ/pfT/nToBjNasQYgLce3cGUAnRDo+HjB3zz0IsTffRGPVqpWO8Ld3L/esWIGGymJBaybtd3dnU5d6V67k2eISWlGBUF6yhI03K0sHZnEVV/mjxVkGOCtjxAota9q8lsy/lWKdiPZW1qmcjRVFjUTK7NOHvzduhNQdOMD6sdshXTNnMv8bNWK+x8SwbsLD2cQrKgCaN97IOhRLkt3OvfffD1AbPx6A5Omp1+eRIwCKhARAruS7NAzAwejRrNviYtw4T54EiDRoANht1gxgFRenz0kJONm4EVeoxx7js+Rk+tG5M0AxPBzFTr9+yMqkJKxxkgDYxwcXp/fe4/ODBwGDKSlYZm6+GY34FVdQ17Bh3JeYCOFq0YKABJmZOp9edDSArk0bXMCVYsxPnNDuZqdPA+BEtgUHQ2YjIwFVXbvS3127sKC0bk3by8u1Rl6KOe+Uq+gia8huZ85INFalIA1RURCxli0h3PPm8Q7sdoiJnN8uL+e6W27h3aelAfpDQyGAJSXM79On+f/wYYD2nj2sCbH2HT9Om7Zs4f7gYN5jYSGgPTwcEpKTw/rIyuLdiyKkooJrevWizrvvxoPm0CGIoGGgKOjTB6VE167aahMczP7+xRf009OTtdayJfeuWEE7Kipo85499C8zE6v0zp2A9wYNGKOdO3neAw/Q77p1aVtQECS1qIh9OTcXMlRWpqNzhoSwRvr0QQETFaUDzeTlIUNmzmSNDR3KZytXsrYCApATI0fS3s6dGXsJqDRqFG0OD2ecmzdnPefkoLRNTka2vf8+MuDaaxmLQ4eQbydOsCaDglCm9OqFO/o//sF9bdsyxk88geJm9mzGacECSNW994I7oqIY09deY5wOH+b58+czdlFROvrm9u38vWwZ8mLkSPqQlMT4VFYydyVQ3HvvIR/feUe7xVdUINMjIiD6cl7Xy4t7DANZ6e4OKV2/nvewfTtyr6qK56SmIsuXL4cQhoToQEBt2jB/Cwr47p13kJ/160PoJaKwBMO7VMVF8FzlL1dqIlnni6R3IfLnXI/VWju5q6keAX79+mkSZc6b9/jjum6lEAQJCTovnLMbmNWKoO3ViwUtiTklyIFzO3r10paGnj01CBXwKZa98nKEb+vWtEEi5onLTevWPKtRIwTZQw+hcUpJ4TCwEMq9ewFL7dvzv5xrkhxWSqFJdTjQjvfpg8AODQVYSS49GQtXcZVLUZwVIGbliZzrTU5m2hOsgwABAABJREFUXkvgIrud+duzJ6DHrFzp25e/16zRSo6EBH2fBFxYtQpgMXEic728HADk5obCJCkJRcsLL6Cskci0zZtDVnJycEO65hqAQocOPN/dnfN2oiCRyG7t2tH+2FhA4GOPAQiiovixWvldWQmQkvMnV19Ne99/HyAVHw9Q9PbW5whbtADs5eQgbw4ehHjZ7QDJtDSuueoqAMekSYDWp5+mv//6F9rw+vUhbunpPLdOHYCh3Q6gefVVLJNXXw3p6tgRENilC3LI0xO5ExjIPUeP4kq6aROAa+5cANT27fRh0SLky7ff6qTbX3zBGSurleu2bKHdixcDFtPSAOf16mlXssOHacuRI7x7m+2/Nn3/NsVu12kkKioAot7eOoeg5OuyWBjTwkLAcXm5dpdbv57x9/NjTRYVaUuZvz/EpqSE+frzz8yf+vWxhqSkMC/btEFBcewY5Ki0FNB8+jTXyLsT8te4MW1q0IB2ZGSwNk6fpk8OB0D61ClISWwsc+aKK1Bcvvwyz5MzY/7+XJOXBzkSedCpE8/asUNb9EUhMno0a/zwYcbq558hGkVFOjCLWJ/q1tVBRdauZZ4eOwYZzMlhjUsKomXLdNCT3Fzck5Vi3IYPZ79u2JBrJMBRWhrj9cAD+tzsDz+gOFqyBPmUmYlsmDuX9ypu7uIqunu3tgR6e9Pnzz5DHsXEMG7/+hd1TZqE8jctjXXdqBEWtMpKZMe2bcyRRx5BQZOQoPNRhoUxZpI312LRLu1RUZwLnD4duVJVxbtt2xaZtXkz7Zs4kbGvrNSkPSCAuSly3GbjfW7axNj06YNsCQig/tJS3mNuLvNx1y7kzn33IWPmz4c479wJMTt8mPGKjuYdJCbSPrH6duvG8/Lzed65c7SnaVPe9Q8/gA8zM5knNtuvU1T9keJy0XSVv1Sp6ayblPNZ7mrLIVdbqelaqcdct3ModbudczDmCKDe3ppMSfCSbdv47XwGTynqnDCBuvr00WHLzcEgzC5i4urZq1f1VAly3kgSm1qtOgy7c78GDgT8dO+OYJHQxoMHs5FOnozVYO1a6hDSOmkSgnTePIRa69ZsgBMn8rusDPeyadMghP/5D1osPz/ul3x4ruIqF1vO51ZpVoA4XzdkCOTOOS2CKCJkTVmtej0rpZOW9+zJOvj5Z8ji4sXM+/btdYLjtWsBXRJO+5lnWAd79zLvd+wA9I4axfrq0QOSk5XF/Q4H69PhYKN/5BE01Z0781m7dlgA5s0DdNntANAHH+S+7Gz+btUKEJiaCkBp0YLnhYRQpyTg9fQEJDkcAI758wF3ISHUJQmTR45k7V5/Pc/+6ScsHGVlAPiwMIDTjBmQtCZNAO6ZmYC3HTsYl23bNDCqqqL/LVrgBrZpE+MuUfeaNgX8WCxY+v7zH1zH2rThzKG3N1bAggLeyUMPoYHfvZt+d+7MO5w8WYO6L7/Uub7uvRdg27AhVoLNm5FHaWl6brgI3q+L7D8yNmVl/HZ31znCGjeG/Nx3H+vm2DGIVvv2zOtDhwDrlZUoNgwDZUDv3hCs0lKUEKGhEL/AQK2ImDCBOWux6AAokoLAaoVc1qkD8G/UCEJjGCgJduxgPoorb9eu7F9i8Rayl5TE/DQMnltSwlw8dYqfgwfZ97dsYa2UlrL/lZbyjFOn2DtLSrgmOhry+NVXKEHbteM7sW5JfsnhwxlDCThz8iRKXrtdRyp1c+O3uFdOmQJ5iIzks6uvZmwfeYR3sHcva+HYMa7p2pV2VlRALGw21qTDQZ9KSiBos2axro4d45omTRifzEx+nzwJ4U1MpL2PPEL709L4fPJkxvHuu3m3gYH09frrWbN79tCXwYN5dzYbltxRo3h/EvQpO1srnZo1QyE3YABt+/hj1nDr1pDaIUMYv+bNqV8C/3Trxhrv1AmZc+QI70jO2n74IeSzSRPaGxREP6ZP52hJZiZz+ptvkBMyXwyDeb10KXtOSAjjYrfT14AAiF96OnXv36/PaLZrx/379yN3QkO5r7CQ+XXqFN/Pm8fcMYxLS+6UchE8V/kLlouxxClV/SyaJCi+mFIbQBQytWgRC80c7MSckqAm65+5iHVP6hNrgDxPzq3ZbDpnlnNUTHN/Bg6EKJrdZuSsXs+egM7t29kohCw690uAcVISGrfp07Wrko8PAjQnB6G7eTNCVgDmzp34xAtg7NmTjWTgQB2a/f77ac/VVwPA6tWjbkkQ6yr/t8r51uKFvrtQTkpna74ENlKqumVdrh0wgHlqTmHw7ruQnXfeAQRJ7ru2bQFoXbtSz9ChkJqOHQEqEjxg+nTOqsp5jgMHWA9NmwJgxo4FtHTowFqIjeX+4cP5e9cuiNXevYCDd96BVA0ciHxJT2dd3nUXpGfFCtrk5YVc+uoriJa3N6BHUgU4HIAVDw8sf+PH89n8+QC7q65CPpw4QVt37KC/I0diEfv+e/rXoIFO3D56NNp2b2/IV6tWENblywHw2dn0v1MngOb69Yxxq1bIir17GYMVK7AwpKWhuf7qK0CN1YpnQXQ099ts+jzfpk3U8f33jM/rr+Pq2qGDTqzdtCkgrGtXrC4NGgDynnkG8vzNNzyzXj2el5+v55L5b1epXuT8nFJaiSjW5gEDmDtvvAFw7dYN4jVnDsBfFKCenuydDgfvZO9eCMWZMwDy0lLen0R8TE0FuNts2jp47hxkzGLhfUmo/Zwc9iYfH37CwnTUxrQ0fSZNXI9LSmhPaCgEQxKpJyfTL3GxHj5cJ83+6ivWyokTAHI3N9ri64syo0ULLD5VVRDZcePo68KFzLWmTWlvVRWE5bPPIAmNG7NmQkJoW2Eh68nNjfrEddDfn/39iy+0K+DGjZoINW6MJXDXLvbtb7/VZ2m9vXVi9FOnwAgvvshYzZ6NVb59e4jJ7NlcX7cuP/Xr83PgAHXdeitjWViI7Bw0iDY2aQKxFrfwtDT6OHAgf3/1Fe8pIoJ7LRZkTU4O+MOcz/e55zjz26wZ/WzUSCvXJEDPd9/pwCU5OZA2Sb3Rty8K7I4deccWC+1r2BDl2ooVek7LOb3Bg5lDdesyzwICdCL36GhkTWgoSrbevfk7NJR5WFXFe87NRYZOmkSbrVa8Irp0ob5rr6VNohArLKSOwYOR52Zl46UuLoLnKn+ZIuDuYosAPWdQdzH3OQdRkM/lrMvatWxiDzygw3qbr6ut/ea/J01CSDtH1lSquuZYAkKUl2thJwTRmcAKuTMnSu/RA9fIHj0geatW6QPSEmCluBiwFh/PJnDDDQjTZcvo5xVXQM4++0yHho6KQguuFCDp2mt57vTpCCylIHMVFVjwunUDPL74onblNJ/dcJX/G+V8VvjzKVeU+vXcPx/Jk/vExVLcMc31KaVz4Mn3a9fqfHEPPoh2VzbZYcPQvEq0yn37UF4MG1bdBTsmBmBgsQCujh+nHZmZnOEZOZJn2Gxs9HKuLzcX0ta6NfU/9RTWqgMHACOixJEzRTffzHk+ux2lUK9eELyWLWn3E08AhKdM4ZlbtvD/jz9y/8SJgO6yMtzacnN1suTMTNZ6VBT3r12LvLBYAMAPP8y7kETtb75J2z77DGvH118TCCMvD8CSkoIc+uEHAPKUKbhdLlwIoPrqKzTZQ4cCMu++m7EdMQKwP3euDpLw44/InEce4UxRVhZAzeFAfp0+zTM+/hh5dOWVALCZMyF6335LH9at438/P6wI9epVV6aZz+O5CsVuB/CfO6ctChYLZGXgQN7BF19Aznx9IeH79uGy1rgxgLxxY8ZaArAcPsz89vPTkTc7d9bBQHx9ITuGgWUpMZHvhcDZ7VhaSkogLY0bQ/Dvuov5V1UF6G7RgnZLkK+KCqyMUVEoJ4qLWb8bNmiiVVVFOysr6dvRo9ybmsoeefKkPh9XWYkcuOoqrvHz4xknT6JsyMwEtIuLtrs77QoNpe46dSCe4goZEEDdJSWQmbZtmet338199epBYAyDsYqO5llZWbRdXJP9/FB6tG6N1bBZM8bh009RjkjU01On2PMPHmScjxxhrXz4IdclJlL/0KGQcW9v1trKlbRv0yZkxr33onipW5dxFU8dqxWi/Z//8Pny5cjOJUuQWVVVyC/J39mtG2PUqhVY6803kaf//CeEcscOxrxVKwjRlVeiuFq4ECyzaRPELzsb3HPmDLJjwQKef+AAOCw4GFmSnMy7PnBABzmJj2f877kHGXHoEJ8nJyNzi4uR6atW4X2wbZs+q3zFFYy1uAbHxEDKly3TR1vWrMGKd/Ys7/vkSWTdnj28w+LiPx5AsLbiIniu8pcp5ztnd757zL/NpbZFI6DQOV+W3c7iffhhfR5OXC2dz8fVBFCdc2/FxgI6EhOpw3wWz/xMcRlbuVKnTlAKIieJmM0uqBKURQjbxo1sFvK7d282GREukpZBNLCtWiHUhwxBaFqtfN+3L4LKatUJRl9+GYDapg3fb9nC3716AZ5atmQDjo5Gc7t9O8K0RQva+GcDKIvFMtRisaRbLJb9FovlqRq+v8tisZy2WCy7fvkZbfruTovFkvnLz53/3Zb/fcv51nFN39W0pkSJ4bxezPfI2hk4UK/P2uqTOnv25Nrhw/Xn2dnVyeFVVwEiYmNZB+vXs2EvXcpvOa/XvTsae3HDycjQblwrVrCBS1Lhxx8HTE2diguhw4FSRLS6VivEMj8fq1t6OpEifXywQtntALhBg/Q5ncaNUbAcOoT17P77AeFnz7JW8/J0vrzmzQHR8+Zxhu7BByFj8fGAw0GDaH9aGuDm3DmenZsLaPzsM0Dgjh3U16kTJGD5cvqYmwtQ3bGDn4oKQN+BA9qS8c47yKQjRzhLY3aXHDyY3JvduuFmabFwfnH/fsb5pZd4xpNPUt/33/Peb79d5+dKSmJ8n35anx/y90c2eXgAlE+d0u7jSgGaXaV6MR9VkPNihsE8XbQIy46QD8PQ7pFNm/JZbi7jf/Ika8HTkzklrombNjEfS0t1ZEsJllNerq1kktMsO5v5OG0adUoeR3d31nnTpszlNm2oNz+fe4OCeN6MGdoN0N2dtnp6QnIOHWKteXlpV83kZIiLhwfXRUUxn8+eZSyKiiAfHh5cu2cP9zsctKuwkDlmGNQXGIjHS1gY/x8+zL7Zpo1OHt+tG+RAgrHMmYPCNi2N9lZV8V6uvpo+FRaiePH25tni1nnoEEqO119n7dx8M0Tt5Eme2aoVhKluXe5p0YK6y8uxPt16K7Jv9mydr7BTJ31WT4hYaKgmf5IyoaqK9rduDYay2RifhQtp94kTjN0bb9D2jAzwSVoacrO8nPfk6wvRLS5mrPLzURrdcQfz4MknGbuVKxmrdev4bbdD7Kqq+P/UKQjYQw/Rz/nzmZcDBqBAEzfc11+HpElEzv37kRs7duCNkZPDmPn5sXd5eTHP165F/vn60q8TJ3RQF7E8nzjBOPj5MTbyvmJieCfp6TzP7TIxMRfBc5W/VPm9pmpnMGdODVBTcTjQyJjP3An4lAANZjBa2/k453udXcMk5Lqc0ZOUCs6JmRMTsX498oi+tlu36veXl+sE8cuWcZ+c63E4uN/Tk/aPG4f2TnLbOBy0RyltpcjK0kA5KYmN9/77tctUcjLCeOtW3KPEIllWBpnbvBnNrYSJ3r2bOmfPRngp9ecCKIvF4q6U+lApNUwp1VopNdJisdTkNPq9YRgdf/mZ/su9gUqpF5RSXZVSXZRSL1gsloD/UtP/9qU2Ymb+zvy/89pxjo5pdtsUMrZ0afWATHL+1QxQzQoXyRUpn7/9NutHUgU4HKwrsaIPGwZQkSJh/CsqUGRMmICVSqJa7tsHcfLxUerZZyEWo0ZxTZ8+rJn0dAjL558DqHbtQlt/xRWsn6lTAU+HD7OGli3DDSk/X7ucnT1LO+65h/XeoAHrt3VrFEQvv4xFsWNHwIS4hTZogPVjzhxI486d2qVNLGo5OZDgVav4rnlzAGhAAO09cQKrmZcXwG/YMMCiuEr99BOKptatIaAvvwwY27iRMTl1isALe/dqjf5HH2ERcjhop9WKBeHLL7HiKcXvkBBkUMeOACKrVVsOXnhBn2O6/nrkX0kJ1rv4eKwON98MUIyN1e+0fv3fMqv/bxRJs6OUPn+nFO+8qop3KMEgxF3S31+TuNhY3ndeHveJhW7HDuZ7x47Uk57OOxoxQp/Du/JK5kx0NN+Fh2vLdqNG1FdRwd5UWsqaa9uWub19O8RB0hXUrw85i4+nrRJe3+HQAWK8vZkb/v7a4lZaCrmJjGRO1a3LvLJY9JmuI0fod716zMuhQ5lrixbRFzkDFhLCek1Koj3i0VJWxvdnztC/q69mvZ86pZPJb9/OOMXEcO/atVi4CgoYp5YtuadhQ563cyftkGBHhkFbhgyBcKxcyfMrKri+Xj3uiYhAcVtczPr282NcpH+LF/NM8ZJ47jnki5sbSiiHA1IpwXC2bME6WFDAfBDPhcJCiNb27bTjwAHq8/WlPsmvOHAg49CgAV5D8h6DgniemxvKgK1bmSOVlRC1Ro3AH6GhvMeTJ5Gz778PeQsL412IHN69G2Vehw68t7lztWLqww8Zx+++05bsNm2o89ZbUShMnMhcLypirg8axNzx9ob0Hz1KXW+8wbNjY2mflxdrQQI9CTm+HMVF8Fzlb1ecz+c4a+zFjdHs2+xMxvr00flonC1vzqDUue6VK2smkM7A1dl1tLwcn3O7XZNEIZrmpOZyTshsuRM3zT59uLZ7d50bqksXtGTl5QDc8nIdJbN/f+qT3FzvvktbunUDvMozx43j808+0RrQHj2op3dvXDrbtOHZy5bpjVNcxc6cQWCOG4ewLy2lvjNnftOrvdSli1Jqv2EY2YZhVCilZiqlrr7Ie4copZYbhnHGMIyzSqnlSqmhl6md/5PlQkoWc6lJsWPOcWdOGaKUjoCplF7DYrFeupQ1unSpJoFKsR6F+JWXM5+lrFnDfN+5E+vSa68xz1ev1vntrFbccjIzcVe69lrmu9XK+ZsuXQC+584BArZvBzyOGweYXL+ejdxuB7QEBiIPpk2DuB04AMmKiwPI3HADVq2rr6bdV14JwWnYkPWZkgLI2bED4LF1K+166y0AcFIS4GPZMtrcpQvA6aabWNeSUHzOHMBgcDAEKCQEZdDRo7g/7d8PePv4Y0DXjBlc16wZGuzQUEDUjz/yXnbuRDF19CgAqVcvQOyePbT9P//Rbma33Qa4e/11NPqenlgJUlO1G+mYMXx29Kh2C5s+nff55JOAuCuv5D3On8+7Sk9HvnXpglzasgXF06RJ/C2Jjy9HcuG/e8nNBfA6l3PnmBv+/oDfkBDAdadOANjsbEB4YSHzrqqK9+nuDlmSwB9793JfZCTz6bPPIBKJiVhgDhzg3VdWMp979gTU799PO0pK9Pm06Gj2vu+/p66AAO7z9GTvSUuDoHh6Ml8khUNVlU4IXlhIvUePogSwWnnm2bO0eds2yENMDPNX6mrWjHaVlCBnJB2Dpyfru7iYuVenDvXk5GjL4Pz57KHR0ZCqb77BY+b4cTBBVRW/Cwu1lTErS59HdHdn/UZFsXZPn2YM9+3TUSt9fFiX7u46gfy119JGifA7bBh9feAB1kvLlpBPDw/GYcgQ1t7YsbzfEycY14cfpn7JwduiBWN75Aj15+Uhl+rUgeTY7cgyNzdctSMiIMyRkWCR6GituKqo4LPsbJRBPXuiFDh1CqWWRDFu3x6ZMmAA9x87xnjt2MEYde4MdpkzhzbPnImcOHqUfo8ezbidOMG1ixbhaREeznv28OAdlpQwT378EYXgZ58hf7ZsYV7Urcv8Ly+nb3l5fPbII7Rj7Fj2o23bwEyGwfgHBurIsZcrnZTFMIzLU/NlKnFxccb27dv/7Ga4yiUqZg38+T4zf2fORWe+zvy3ObWBUjrtgPk6SXdgfp6ARfO15uuKixGMjzxS3bJ3vv6Z6xNyKiHbJVm5kCybTYd7l8TKIkQHDODetWv5v6CATSU+Hi3UV18hMJcsAeRt2QLoa9cOwTlsGGAvNhbQOGcOm5zVql3iBJRv2YIf/Nq1CKa77uKnUSNcoObNw2Xiww/ZeFq0QCgeO8bG9+67bK7PPkuy0gsVi8WywzCMuAtfefHFYrHcoJQaahjG6F/+H6WU6moYxjjTNXcppV5TSp1WSmUopR42DCPHYrE8ppTyNgzjlV+ue04pVWYYxts1POc+pdR9SinVpEmTzocOHbqU3fhbFpn3Yn02f36xVvrzyQaRA337auu22a1TSJ3karTZ9D3FxQAsOUeTnMyaGDYMcPv00zoZ+fr1WLaF3M2bhxZd3BAdDqwG11+v0w0sXMj5kh07ACRXXMHaPn5cn5MLCQEwzpgB+OjXD0Dh5gbgeO45DRgLCgDFy5cDBDw9tTtUgwYAhbVrcVWLjqbPEo6+sJB1e911yARx5TIMANJPPwE2xKKfnk47GzXCVeutt5AR8synnwbITZ6sXUFXrQIE9evHvenpXPPRR7T53//GunHzzZDSsjLGZ+ZMyOA332CFOXCAa7/4gjoECE2YgOJp7Vqt6U5IYBynTmVsg4Jo886dAMLRo3UewPJyZGJ+Pu/e1xdgpxQeCx99dOG5eDnk03+7XCx2Ki7mvYo7rlI67c65c8xxCTG/eDHge8sWQPu5c8xXCV7j6andhJXCsituuW5uzGF/f65p00YnhW7Zkvl19914opw7x94iQTM2bqSO8HCdvLxePdrpcPC3WEi6dIFwpqbqs+VlZdrymJ/Pb7leKQD7qVNc26kTc/zUKfqYnU3bQ0L4ffPNrLl9+7B+VVayHtzdIUH+/oyZ5ImVJNrHjjHHz5zRbnuSXiEvj3VttdJ+ycPXuTPXJiZSd1QUfTt7VlsI3d1pW/PmjFVAAONlGHgUSLqQU6e49swZ6m/bVucQjIzU708s87GxPLO8nH6OGYNsEY+H/HwIZHIywUnEWr55s86JGB6ODLDbmT/HjyNzc3N5TvPmYJauXRlHSWlyww3gkOJiPS8TEiDNElk1JwfZmZfHXI2J0e67GzYgG4qLuVbyzqWkMNfy83nns2bpM3USSKdhQ+T4Z58x/wyD+eDjwzw7c4b2ikLDzY1nSd8lZ5/VCvE7dIh5HxysyaCHB/PBuVwMPTufbHJZ8FzlTys1nZW5mOAKElVStPVC+Mx1mK1nNQVukGukTnP9ZlIowFHcIz/6COIlbpTn65v5fJ352R98oM/R2WwEWpg4EWFgt6M1e+AB/b+U8nLt7tWnDxuN5ObauZN7fHxwcdmyBYuEYaBFlCAx7u4I4PHjiYz55puQPmmjJHM+epTn9emDwEpKIqjCFVfgcnDHHYCr/fshc+3bI0RXreJ5lZU8LyOj9jH6i5T5SqlmhmG0V1jpvvytFRiG8alhGHGGYcSFhIRc8gb+HYs5AJKUC63tmuqo7TNxx5TgQ7Le5Xnr1/O7ogIrmbiT9e3LGnnjDdyZ3N2129LcuViXrrySax9+mPsOHgT09OwJoPL2ZtNWirqmTIHc5edjidq1i03cMHAzfOMN/pa0Jr16QWa++op1cvfdrLctWyAiNhsA6fBhZNzTT3P/ww9zVu2BB1Aw3X0363PfPkCeWOwsFsCeuM998QUAavNmAEpWFt+LtSs1VQdCad4c0tOnD2s8JQWAlZHB2n7lFVyRVq0C3EiwhzNnkB0HDwJA//EPnv/++zzTaqWujAx+9+rFWE+ejLwQi//zzwO4IiN5VqdOELUxYzg3PHMmbWvVChD773/zLpo3ZwwlX9ozzwD4oqN5x1ddBRC//nrG12LheYGBFzcX/y+V8vJfWzYNAxAqa7eggPVSUqKDDR09ytjLeaN69bDuNmkCMQkP5/q6dZkjQ4YAquXadesAyG3b8ozUVKzbYrlzOFg3e/bokPyxsayhkBDWalERSg0ha1YrbZJgMT4+zIucHD4Tq9HJk9pd191dp3zIyGBdFRZijZJx8fQEoIeHgwkkTVFQEG3o3Zt6xI3yzBn6ftNNtL9lS/osES9LS6nbbodg3HYbfSgqgqg8/DCK3B07uD8khOd17Aj5EPdGDw/Wzl138U5++IH2i7vk668jp+x2HXDE4YAYFRZCOPr3Z42fPQvpOHWKtkowl6IisMftt/Me3N1R8EZGIq8aNIAo1a+PvO/ZE5kZGQlpio2FxK5dC2GW9xgYSHuuuQZ5tXUrRNbh0GlpJL1FXh7ysayM+bpgAeNssdC+Pn0Y2x9/BOOIFc/PDzno7g55O3kS/Hj0KP9HRjKmBQX0XYIySd7Sxo15Zng4c7t1a5RjHTroHH5ydjM/n70kLQ355e9P2/38mFuS9qOgQLszX+riIniu8qeVmgIunC9Ag9mNUiLjDRlS3ZJndgtzrsMcfdLsuuUMOJ3P3wlwHDIEYCUaOed2mf+XM0KSeHjlSm3N6NDh12BXzgCtWaOJlkTgHDBAn+cbO1afEWzThvtWrcL9yG5ns502Dfcwq5Uoe+PHI2SEPA4YgBD94AO+d3dH0/7ee5DCbt2wvE2ZQh0PPQRo3bYNwdWsmbaS5Obyt83GPe7uuDqYo47+ieWoUqqx6f/wXz77/8UwjDzDMM798u90pVTni73XVc5fznfW7nzrx7mYXbLN5/DMShzns3iipJGIl5LmxGplg546FVIzbBgkw9MTwhMRwd92O9pfKS1acO999+HCOXQoQEFysf34I9a59HRI4MGDaI7btmXd9OsH0L3iCtwOMzIANHFxAGWlcLseOBCw4XBgHU9Kguz16IGipV07QGrnzrgmvvMOBPKuuwCBGzYQ4e6aa3SACDc3ZILdjgUyMZFUKZIMeutWQHKXLoCa6GhkpZ8fYG/YMMDUmDGAFwmasnatPncYGsrYXXstVr8DByBmDz8MGIqIoE/5+Tq5e2YmgGfECGTqu+9iafT05P777gOEPvWUjhi6cSMEdOFC2vLAA4xXq1Y8Y/hwnZw4KAjyuHw5HguSbNlm05rxPzsI1F+1mC0Hdeog8wsKtHXI3V2TvkaNGGsJyOLvz3wqLNTBSQ4dgrAcPUo9np4oFk+d4rrjx7k3L0+7F9evz+eenhAypXivBQWAdQ8P6ggNZS5L9Nd69XQidlnPZWW0q6wMciUkv3FjHR1TLFpS9u/HMnPsGP1o1Ig1YbNpN+Bt2/hbyJkcSZCgITt36rOLjRpBBktKkBdyFjA3F9ng44M8uPFGMEPdujz/1VchhllZej1LMJp16yAvbm7s8WFhPO+TT1jXXl6Me0gI43bqlD4vl5DAex08mPVTWoqlNCcHF8TWrRnbZs2Qf8HB9Nfbm/ctaQWsVnBObi7fHTtGX+vU0YFYAgJ0YCuHg3a5u4NdCguRC0VFPCc1lTp69UKm5uaCuzZu1O/+wAHmVVoa73TIkOpKGw8PnhMcDBm97z7m6/btPMPDg/vbtEGGhITw/Ntvh+xWVdHvkBDG49Qp+rRggXZHldyJJSU6SfmGDRBwX1/eV2Iibf7iC97NmTM8d9s2HSgrOJixvBzFRfBc5U8tF+ueWZP2X66rKYVATXUIUbPbAQF2e3VCWBPQFCuePE9cNuVzc8AUpbS7gpwR8vYm1PKQIdq60KcPgl6sZpILZsCA6meLKioQPosX870EXSkuhjDu2cN1gwezKfj741b19NM8c8kSQNj69QgyCYO+bBluTevW0SbJm9e+vQbADzwA+BP3VDc32uPuDkH98EOunToVrWJxMdr01q0RYgKc/uREwtuUUi0sFktzi8XiqZS6RSk1z3yBxWIJM/07QimV+svfS5VSgy0WS8AvwVUG//KZq/yBImRM1px5LUlxJnRipRcruvxvvsZ5DSqFskQp5mzPnnrtisVo2jSImM0GibnqKk14PvyQuZydDZkbP541NWkSm3a9eoDCiRMJ8LF4Md81b85aX7RIR5E7dYq2NG6sieeECawrDw9cgKKiWJOengC7r74CRMXFAfxCQ3nO7NlY0p98kjY0aIAi5uabAUbffoumfd48+j1iBKClTh2uOXoUoFW/PgTL1xcg078/FrXAQMDkQw9R965dAJXBg3VS6thYzuZFRjJ+xcVaA52SQj0jRwK+MjN1MnMfH4CnJHs+eRIg16EDRHjzZh3w5dVXkXdZWSiOJKz9/Pm8awHft96KC+2CBbwXd3cdJTM7m+fecgtjsHkz311zjZ5rlyt63d+5eHszH6WUlDCWcmb89Gn2CLudNZCVpaO0VlUx56WcOME9QUH8LyBcKQC3j4/ObacU9ebn8168vFgL5n1Z9pU6dbAy+flpd0uHAzBdpw5g2jBYz0eOMAd9fJhDSUk6xcPx49QvkQ6Voh4fH9ZmRoY+T1hayu9OnRgfu535ZrFAGr29eb5SkJYmTRgXIbrnztGvgwdpozyvuFifmcvMZK42bYpiJDMTa/ju3dRdWEg7LBbW48iR/O3urgPXJCZC2AoKeG5hoQ4y4u+vyUdqKmMjZw7r1OGz4GCsgmlpOselBJ+RqMLx8fR36FCsVNJvPz/kydGjPNvNjTWekoIi69gxnfTdMHgfY8cyVrffTttLSqirUSNI3YgRzLmQEIjSsGHII4eD+7ZsgbjJWcoWLcAkc+ciP/v2xcW9QQNcPfv21WMeFoaXhbwbySNaUsJcO3mSdxEfz7tMSMDCFxLC3PT15T3t3asJtlgSmzXTbrqnTjGXOnXSrrdBQYzt5czF6RJvrvKXKedz4XK27JlJl/lzs5uWGQCaAaGQLjl7Ju6SzkBT3CunTNE56lasgFx166bdwHr1AsDl51d3B3N315YGAZcrVvC3uKF4ewPsVq2i3pUrqatPH324vKwMgLlqFYJmwwbI4OOPa9Ip2rG1a/Wzpk0DPO3dy7iIi1jv3mxQXbroM327dvH/hg20e9YsNOoybmPG6Nx2CQk6xPKrr2rNriRdbdFCR8+UYAZ/RjEMw66UGqcgZqlKqVmGYey1WCwvWSyWEb9c9pDFYtlrsViSlVIPKaXu+uXeM0qplxUkcZtS6qVfPnOV31nMFnghOrL+zEoac4RMpaoTNKWqK0Ik6EqvXjrBtgQy6tsX4pKSwhwvLmZ+d+yIteyVVyB1c+awdiXAh0SoDAzEVWryZOp7/33WX58+rNm4OICGRLp99VUsS7feSpvatYNI+flhgduyBWvb99/zfVgYAPjVV5EDU6cCcHr31tHgioshayNHArwkHcSxY1wjqRUeegggOns2Gue8PJ47YwZkdcQInn/ffaxzX18I4smT1Pvpp8iXVq2wwknurDZtdIj2gQOxntWty/sIDKTNc+boVCpFRQCkjRsBNseOMQZubvRlzBiIsCQ8vu46rDtbt+JONnUqYP2FFyCQbm78xMXR3ldeAeANGwbIio1F1rz8MkS5rAwNuY8Pyi7DgBDfdx8up0FB9FVKTedeXKXmPVhywDkXw4AYyFk4pbSXh1IQJYl2Kq77wcHabTkiQrtQyr0lJZAPsaYohSXebmcedOrEHI+IYP6Xlurn5eXpnHze3vp83vHj1CfF31/vXSJffHyQA40b6xx2EgCjoID1UVYGWPf25jvDoK2GQftEaSBpQgSPlJaypsPCIC/iuinWpIMH+T8wEGK1cSPEbskS9uuHH2ZNFxfT9pQUZJKnJ20PD4cUSzL3wECe4+tLmxs35lnNmiEDKypo89Kl9HPPHkieHLUYNEhHxj59Wie0b9IEmeTtDTZKS2NsBg3i2TExyN6SEu3SPnYs17Rvz5rNz+e69HSUYbt2oRiSVC3FxSjNDhxAKXTwIPNrwgSe3bKlzhkYEMBvCXQydCiyoUEDxigyEoVQZCTyWa49dw45ZLfT97AwsJevL2PVsSPfHzwIKf3mG+TbRx/xvpo1wzNA3HUTEthvBg6EDMqckQTyQUHMn7AwnpmdzfwX93Sz9fhSFRfBc5W/TDmfe6Z8L1p/sXpJMQdfMf8vG5W4P4rVTUiXOXS6AE2pVzR7EilvzRo2Anf36iBVNJubNyPIpD45I1Rerq1uovl0OHQSTbsdQdq5M+Cxb18A6fTpAJrrruOnf3+d606eKwnUlaKu7dv5nZSEwAwOZjMUwtm3r+7TE08gRHv0QNhNn47QnTuXNk2ZgivXP/8JSDx3jk3h6acRsIcPA7bT0/VmIZpFIXYivP6sYhjGIsMwog3DiDQM49VfPnveMIx5v/z9tGEYbQzD6GAYRj/DMNJM935mGEbULz+f/1l9+F8ozsobsxu0zaYj3or1WzY7+T8xUWvMldLKFbnP25u/vb2xqlmtrDerFVDRowdrqmdPyIG4QD71FOtu1ChIRmoq8/iTTyAVO3YAXD79lHXs4wPQ6t4da9L+/VxnswEsBg7keZLjTiKkzZypo/o1bAgpXLGC63fv1mc7DAMr3IYNrJ3vvwekeXvznIwMwENwMCBPLPTe3tpiERaGpnrlSlxC+/fHlTM/n3YsXUpEzJISAF10NGMnSY+bNIG0HT/O75UrGf/58yFgDRtCHB94ADnStKkOQPP114DQ5csBk/37A2ocDsYyIAClk7irHTuGRS05GTmTkMB7bdiQ8bnmGlw+69YFoD37LP/b7fT1ppsIqJKSos88njkDsOzbF7JbVMR+8cUXPM8sk1xpEn5dysurn5329+e3xaJdN4W0+Ppq0iNz2MMDC46XF58VFFRPt9CsGSDb4eBdZWfzeXQ0v1u2pF7D4NmDBrGOxdWwuBjXxxUr+C3Fw4PfkgYgMJC+iPufUtqNtEMHZIkoYZcs0Va+tm2Z++Xl+oyfUhC3s2dRloSG8n1ZGf1s2JB5JTnSZP9zOLiubl3q9vbWuSCDgqjby4sxql+fPtx8s3Y/t1h4F40aEZF2717aIS6rLVqw/+7ZgwyqrKSOnTvpT3o6lqjSUj5zd0cGJSZCnH19GZ+NG3lmWRntlOMYt9/Ovi/56LZt4760NN2n8nLG88QJ3mtJifaMCAtDHixYoM/6SsCekhLmzoEDtFEio157LffGxOjxEhnt4cE7adWKtWyxIEPbtqUNDz7IPhMUxLvKyQE7NWvGWEREILOTk1E2eXnxmVipHQ76FRpKexs3Rt42boyXlK8v419ayhi+/TZz5dAh+v/997Q9MZH6JHeinx/t3bxZp51p3lzPLZkrl7q4CJ6r/KWK8/kcpX7timW1AuLE3bKmQC3OrpxyVm/NGk38zOd4lGJRduumiaBY9ARcKsX1PXtqi4NYEIYMQdD4+2uSKmHZly1Da11cjKZq+XKE3JgxALRJk7AUPP44Gn5x14yJIZpeeTnCVohnjx4a4PbsyXPtdiwNFRUI606diPq0cqUGt0ppK2J5efUzRkePcjbm888Rblu3At5atGBjiI6mTwMGIOgGD0YrfuAAG3JyMkJONl9xO7jYgBqu8r9falLeiLVZrOTyWd+++lrzGh04sHrQpA8+YK6Vl3OYftEiLUOSk5mPW7cy57du1evA0xPtq48P1qLPP2c9TpgAgcvORvkxbRrrsKQEi1BxMev1jjtYa3fcAVj78UfWW2Iizxg0CJBz/DiA0MuLoCii+V+wALDg4wOZe/551uobb2AlXL0aDbSnJ0DNzY16lyzRwKdHD9ZlixYQNYtFWx8CA+nP11/Tjm7dABuVlbTp/fcJOCJRDkXBNHIk/WnUCEIZHU3d118PqCsvp478fORVkyaAlyFDIJW33YYMfOopQOucOdqNLCSEcejenf9LSrj2iSe45rvvGIvPPuM5J08Cej79lD7u2weQzsgAaIoL1NKlKKXEgnDnnRDQCRNo12OP8dzcXN6f2W3cJZ9+XYqLq7uNyd+GwfiGhOi1WloKED53DrIm1qSmTblGiIhSzMkGDQC43t7MN3M5eZL7t2zRJPzsWdaF3c58kYiP4i557hx1CTlRinlRty7r39sbwtWwoe6DUigE8vL0OTgpp0+zfxUV8bNrl76noADF6dtvA+al3k6ddN5Xi4V+Nzaf3lbUdeQIYyUpCI4e5bPMTO7bv5/+TZ3K9atX04+ICAjW2bPszQEBPFMp2nf6tI6GGRlJXRJx9JprWAOentQj4yHEacsW7g8LQ8aIAs3TE+XuoUOM/alTjFVKCm3y9+cecXvNzUU+jB4NCd2wgff27bes1YAAlC7nzoFPPD1po+TnrKig/Q0a8J7Ly3k/cna6SxfmUo8eEKMZMxgvidzdvj3kKTWV3z//zPUWC2eSN21iPpw4wbOKipClCxbw3NhY+lBVxdEVpVCi+fnxbo8e1VFYR4/muW3bIptKSph769dzVlDcmeVcnWEw993ceI8S3EeOI3l7I2MvR3ERPFf5SxVnwmb+32zhM0fnE7dMITorVkDSzCDRbB0wu3fJmTmx5pkja5qDrIiLklI6P51znjv5bSaYVivCbPx4hGHHjnzucGBt69oVQbV+Pb7shgHYtduxCLRowfVlZQiPsjIEWK9eXPP227oP48dTX+fOmoD26KHPtvToASA+cwawKRHmrFbAbnAwQjgnh+fYbGjK4uIAT+7ubAixsbTl/fe1NfLAAYTYnj30U85cBAdfsqnhKn/TYlaE1FScFTayfp2VNuL+LHVZrczPjz5ic87O1i5iVisWppUrIWoVFRC3Hj30OpWzGYbBxj9gAKRIlB9CFvbvhxz264dFLC4OEma1YumrqsLSHhaGFr57d5597hx/f/QRa6lRIwhjdjYbekkJwES8Cjp3RqETE0Nb9u9nTZ89i2W/d2/AmYTk/sc/AIfHjun11qAB633yZCxWolmfNQtQ1qgRGvITJ5BjkZFY1kR7vHo17bv3Xq7//HPA1Q8/0I5NmxjPbdsAeobBWEhql2PHqPe775AR06YxNkuW0LZhwwBFR44Akk6dghRecYV267v2Wt7nHXfoJMa7dtGviAgtR5csod1XXYXcstlwj12wgH4tX877sdl4Zy1b8gxJVq1U9X3EVShWa/XUBlLq1GFfkBQTzkXuKStj7jqTpzNnAMsSPEzO6olrZEEBFlyztU8pHdhEFBtSpG5fX20l8/CAlAi4Li/nbFa7dvwv7p6SQD0wkHrFsielfn3qrUkBIO6kEiBl82Zdb1UVc1YSmpvbKq6eMTH0p04dCJs8TxQPoaGsc6UY66NHGbcbb4Rsnz3LelCKZ1ksjFFVFevKy4uxzsvDqj53LvNeknAHBfH/gAEoZSIjGTcJHHL8OO0xDAjdmTOQkzZtIHMdO9K+/HyULtHRvG+JKOxwQKBsNp0mYtAgCFFBgbZA1qmDK+iWLci0G29EHpw4AW5o0gR5OHw4iq/Vq7lGcgU2a4b83L6dtZ6ZiXxr0oR7YmKQR8eOMTYtWrBfeHoiqzds4D2lpzNnKiu5tmFDnfYiK4s27d6tzzfOn0/7IyJwjffyYqwk8uehQxBaiWQaGsrv0lLeXVUV4yj5AcvL9bnDS11cefBc5S9RJJiHUr8OtHKhwCvmSHqSe0tIm/layScnropKVQ/K4pz/Turr1k3nrXMucp24W9ntnF1r21afi5P2r1iBxU2sCAMG8PmsWbhHfvstwlBcLIXEyfU9euh8XpK0dfx4iKGPj95g585FyAkxKy9HKzh+PMDv3nt57qZNOpdXRgZa9BdfREh6eQHQfv6ZgA+jRyMYBw6kfzExbNByxi8tDQ3XP/6B0F6+nHZecQWA60LlfyHPlFIu+VRbqW1N17SG5Xtn8F1czFqQoECyFoqLmdeRkXzWvz+bt8ztTp2YoxUVWNomTYJ0RUXx+ahRbNTPPANAadaMDdtqZX6Xlek5PGMGz5w0CRA0dSrE4ZprNNBo2RItc0wMayE/nx9x0xk9GjBy8CDPyc5m/fr4AHqCggAgmzYBDk6eBIhmZOicSwcPso4lUfqLLwIe6talnWfO8EwBniNGAD4aNwYERkTQ5p07cWts0IC+DhoEqImOxvoXH6+jfvr7A+7WrkV+rlwJAB01CpLo789zb7yRtnt5sf5TUnjum2/qZMdNmlDnmjWMk1I85447AFCxsYAicQm7/XY8ITw8lHrpJdzPFyygD3KeaP58HfgjIgL5tHs3Lm9duiDLNm/WroFVVZDLr7++8Pz9X5BPFyubTpxgbdQGOn19dTAus4uZuXh48F3jxoBhd3dIVW0pQt3c9FyVZ4gVr25dHTUyIECfowsK0sF93Nxoc3b2r0mZOTia5MyUYrMxT8vKIADHj+tUCM5tMrsWigtmebk+oyrPrVuX9SrnOysrISwSICYwEJlVUcH6LimhXzYba8BqZT1KZEqlkCcHDrAuRVYkJUFkxQrftavOoydrRxKI22y059w55JbICh8f/g8Lg5Rt366DxXTpol1EAwNpW2Ag8nHfPtaRhwefSbTTxo1p85kzyLLmzRk3sciVlCCn69en78uX0/b4eH0mr7CQtuXn87dhaGLYtCnYyhzo6uBBxkySk586xfUBAfRPFHgFBbTv7FneR+fOOhBXw4Y8z8ODd9uyJcSzrEznWl28mHvDwhiXwYPZZ+rXpz3e3ij0brgB2ayUTp0QFKTn0759PMPdXbsO11ZcefBc5W9bRCA6n6mryY3LfL35c+cw6WLNq+0cnwRoWL9eW+3E3dE5EbpSfL9hgw7EIu6dzpH8lNLn6R54QPv2L1qkhcjAgTrdwoABGsBedx0WNYlGOX06miZpo7RbAO3KlYzVxo1oxPfu1cEY+vYF7HbvTpvfew+rXdu23H/33UTgEy1tUhJA6cYbaffw4bhetWlDH5cs4f79+/VzDh6kfkn2HBeHO4efHwC6RQudXyo8vLa37yr/y8XZ+uZM7sxWeXNycllTcnbV2RqelMScHD9eR9/z9ma9iBZezto5HBCYpCSd/kOUIE2aQAiysiAC117LubQjRyAnGzdSzw8/YAkLCeHz3Fy+i4piXY8dC3lasgRwWbcum3hEBOu0QYPqob0liMP27YCi5GT6HxwMIDpxAitiXBxgo3lzFC8SvKFzZ51yYNYsCFRWlg5gkJenreZBQVhEXniBsWzWDBkgVqzdu6mzdWv616iRPv/37bcQvpwcAFm/foAtqxXg1KoVf19/Pffn5SEj7HbcMh0OLKbp6YChAQNwQ/X05BzOyy9jhejXT7uRPfAAoMrfH2Bz4ACELyEBotyoEe2ZMYMxdnfn+cnJ1CWEPjOT8S0poe516wBqUVG89w4dNHAX1z1X0SUl5fwWhbIy5oIzuTOnAK1fn3crZMnhgNyJ9VRcDKVUVTFPAgM1UJdgJUVFPKtuXU0+ldLRWZXi2owMLSuEBEkRgigYIzCQuSjuqKWlOuKtFJuNPlksOsKijEtpKT+GoRO2SykqYm7Wr68t45JOyNwWpehPZSW/5W8fH52KQSnIwKlTyJKMDO3FIxbBigrWvrjIRkXxDpWC0LVty5jK+cC8PNoraQ5OnkRBe+YM37duzfvYsYM1OGgQ43DddTrlQ1AQBFAiRHp5Qb5OnGA8u3dHRlRWIhclFYCnJ8/eswf526oV8ig3FwJ15gz9yc1lrRcWcp8Edjp0CDn85ZcofYqKkJtt2iAz/f112onu3Xm+nG80DJ718cf6/KW7O2Mt0VAluvCSJRDisjLk/IkTOthTXp623AYH60AvgYGM4+OP67nncFD3vn28u8JC+l9aStvFUnu5iovgucqfUswgTwIjiIvWha43F+ew67URO6W0O6IZVJqDpShV/XyeBC+pqAD0iGuGbBISectqBYSMGwc4W7FCH65OSUEoOPdBAKych1u2jPo/+YSw3s89p4OjOByaLC5bBmi123VI8U6dIFdvvglAstmwcnz2GUIwLo4+SmTN8HDuT01FMF55JcJn1CisH5s2IXy3bqXdc+Zw3u7BB7lfDpm/9x79KSgAvJWWavcYAVB/ZhRNV/lzinme17RuzWvOvBbM30tkWnOKBG9vzlNJ4I2NG/XaSUri3u7dqx9Wt9tZL6+9pqNhLluG62Hv3oCXlBSCjzRooElUw4YAgrAwwE1AAOtAzvrs2oXr1Pffc//48YCczp2xan30kT47260boCkigk194UKUJfn5Oprgpk2sx2eewc0wN5ffaWnUJS6R7u48p0kTANDBg7hK169P+7Kz+btVK2RRYSFrcOhQ5MvAgazXwEBAzMqVADcB1T4+ALX33tNpGI4cAcRFRjJ+oaHc17w57Vu0iPr69WO8YmMhr3ffzdilpKDt3rcPRVKrVsi4//wHcLljBylWFi6kX+7ukMWdOyFqSumIio0bI6e6dSOi56OPMpbr1wPQoqIIAvXhh4BTi4V39vXXEEQ5qyQA22yhcRWKc+AZCbIixeziai7mnIJHj7LuxVVSlJnnzgHIawq+ZRjUffo0c9T53UhaAUl8LvcoxRwXxYbFwhoVV0+RPVVV2iXyzBkd+bm24BYSgdPHh3slCIy5iFXG2a00O5sxMPehWTN+y/lBDw/GulkzfQbNYuH3/v2sqZYtdXoCIZHS/2bN9DzOztah/VeuZA17eTHnt21DPvr5cU27dvwdF6ctckePso48PLRFMSAAGbZmDWNx6JC2gPbrRx+aNMHyZiaOnp46DYWQ7o0bkX2SukHOcso5xORkrI+lpaxbCdITFwfRqqxEbov19PPPWdOS8FzOTKemMiYHDnB9YCAyz+EArx0+DCY6elSpn36CGNerRxuPHUOuDxuGbGvQgDYXFtIPHx/klUT23bOHn7vuAhMZBmPUsCFzPCSEumXOVVTQfnOkVUntcLmKi+C5yp9SnCNmiuC42DQJ5/vO7OZl1v47n9EzB1KR5wqZUkoLfnd3BM3HH/N7ypRfkz6bjYhu77+vtTcbNyL8pkzRljwhlpJw3eHg/xtvRBs/YQKCduhQyFp+PgBp+XKAUPfuaIgkmIlSgNQBAyBkO3ZoMBwZietWWRkuZfPmcX2nTgDKUaPQsAvoWbQIt8zYWM722Wz8fvBBHbAlMxMy++OPkPKHH9a5hjIzIYwnTugALmaNqKv8/cvFBKUwr8fzrVtzigOzlVvuGzhQB0dyJoGbNjHfy8v1GnI4IENbtrBeHA420jvvZF2Ia01sLODl66+xzt17L9aj9u0BRJ6egIGsLMBR06YAkFtvZZ2tX49LTnAwYGnxYiyAOTkAh5YtNVGRKJ6DBrG5d++Oy+Btt0Ew5XB9794Aiyee4Iza1KkQoHXrAAotWqA1LyriHRQVcW62vBzQJPm/JGGyWDorKnCpLizU7kL5+ciYJk0Ad19+SZ2FhdzXqZNSr7+OTFi1Cpkk4HbOHAD//v2MbceOgKxbb2Wt5+VpRVufPlhBU1IAsikpuC9VVXHtunX87twZBVJ2NvLS0xM5MmECbpUCHF98kTkxZgzvf906xj8igrY0awawS0vj3dxwAwCspERHCb7qququq+dTCP5fLc6u0ZKXThKH10aIhKBJkX1QIi2aiyQEV0q/A8k9J5bBsLDqAXGOHKm9zRJER9ohxfkMuDlNQlkZc0sCi/j6VldI1qvHuhIyeviwdoFWijVxvsiHci5WipmYVlTo4CXHj+txk7aXl9P3s2d5H4WF2uWzfn1tgZdgLpKoXVJO5OYylpI3t04d1rXDgSxzc+O569ZhiZLnS5RvDw+wzrlzjFFeHuSpvJw1t3Il9UogJEmd5O3NexMZExKiLY2TJnGvlxfP9vXVsjskBLxSty7y0m5nvJcsob+NGiHzGjWiLcuX8y79/PRZyjvu0OctrVbW/cCBjPvRo8xfiXDaqRNKJ/PZ4RYt+DwlhbEU98nYWMahcWOeLcS5bl36++GH7DkFBXwnpFAsnzt3soe4u/M+xepss13+PJwugucql7WcDxA6u21JTiznTddM0mqr0/ydkDZJIWC+fv16HXlSolxK9ExxWxTyJ0UCoowbx6Ls1AkwlpBQPfrf8OFsKAMG8PeQIRC1+HiEiZz7k1x6K1dqoti7N7/Nm11FBWBv3DgdNfCjjxCet94KsZLcdtLH1q018bTZCHAwYADfL1gAmO3bF4H0z3+i8a6oIMfLs89y3eOPU4dY/LZs4WyduJ1Onco5v9atsaRERtL+MWMAr6dOAahd5X+r1BQA6ULXK3VhpYz5ezkrY36OpEBYsACyIkoVUda4uzNnr7kGoiaa7rIySNq+fSgqZs8GdPzzn1gJbDZIz6ZNrKOvv9ZBStatYw3LmZHycizd/ftzrWEALAICOFPn7w/YOHwYq97u3YCApk1Zwx9+SN/mzkXLu2sXLpZK4Q4peSVzcwE1djt1162rQ5Ln5EAe7XaUKSEhkFwfH7TGDz3Eb7sdULVjB+5ZVVUop86dY11/8QXKqB07+C4ykt+JiZCt+fORMXLGZ8wY+tGhA54FJSW4ZwmplvQPJ04AcFavBnB17Yor5o03okw6cYIxfecdxu7rr/UZx6lTAV516vCuYmOROXPnIo/btsXVdPp03p2bG8/YtUuD39BQ2rFrF2Oxezf9mDpVp5mYO7f6PLycSYb/rqWm9VpVpc+L1nbuTqnq3wmJFgugrMuSEp0yQCm9zsvKWD9C6o4fr54f73zPNVsPzUXC1NdWxJomf5sti2ZCphTA3HxmqriYfd05QIsUOR/oXJo3R1bIfZWV2tJpdhnOyWGuC76oqmLeFxVxvaSOUIo9vFEj5ry/P2PdoIFOmyABV8LCkCUnT+r2mZ9ptyOfROEr76msjLFp0EB7GxUXQyhTU1HECFmtX18nl8/N5R6bDbmblgbm6NhRu4k++CD/V1byfLGcubvrZPS+vshHHx/q9fREnthsYK6cHI6SNG7MM4qKwGk//8zxkeuvZ4zE7XXDBsYyKAiZNWQIfczM1Of+hGy7u3Pdvn363N+hQ8zjEyeQw9nZyCOJeVBRAWbcsYPPDUNboKuq+LHb+UxIXm3z6I8UF8FzlWrlUoaNrs2t0vy9GQQK2TJfb3ZjdK7T+ZyP1GOOqikWASm9eumgJeYzQImJPGP3bsDEhg36Hk9PHZFz/XodHGXzZsCdBFCR9q5ZozemtWt15L41ayB1fftSx4AB1J2QAKCsqOA6IYiDBgFUrFa+j4tDEPr7A2RvvJH+9exJex0O6uvYEeJZUKBTL8TEINw/+QRB6ObGM1JTuWfaNITy9dcD+Hr25P/WrQFqn32GoBs+HNeoqCgEUlgY2jQvL872+fnpMxJK1RyNzVX+nsX5zGtta7u8vOYzqjW5V8tvWadmRc+yZXrtL18Owbv1VtZdly7M4W3b9LopL9eKmG7ddJTF2FhIRfv2KFxef53vAwJQ1Pz8M+3o2pW1EBgIEdy2DcVFTg7P9fREG7tsGe3ctYu1uGkToK2wEOBUp46O4Pb554Ccykpkkp8f7o/Nm7PJp6YCXBwO2iuWr5MnaWN0NGDr3DmA2PLlkFZPT8hdq1as14KC6iSuf3/kSmAga3jsWORaz55YxlasoC2GAckZMQKQ06YNn505Azg2DJ06ZvRowFV8PBb8pCTkm7c3wDwkBHAlIG/ePMjhwYNcJ2dtPvmEeoOCsLhlZkLOvLyo88MPIWWvvaZlUrt2AMziYgDh6NH0U9JMeHnxPC8v3sPRo8i9kBBIncPBe5OADFKc3Q9d5fxFLFjmpMxy3lqp6i6J586xPwiRqKzU9x0+rPNKShFLT0lJzW6gNbnTyrNrC0bhbGEzpy8ICNCJyi+mOLthHjvGnHL+3FzMZ6zk7wMHWK9iLZS+Sj48KZIk25y+oKqK8bFYWE/BwVwjwVpEUVRcrIPbNG6MTBLCV1iI/BJLUp06PNtm450J8eneHdkaFMQ4Rkbi8VNaityRlBDduiFXfH2RKQcPUp/FQntPnkTede7M/2vXImeEWM6Ygdw4dQrrmQS0knUaGoqMOnCA9sl422z0uXVrna4lIIA+tmyJzA4LwyVz/nz6VVnJc93c2KNatdIWP4dDWxRPnGC/aN0aOS/J148fZw3IWUKLRaefKSjAm6OwkHedkcFzSkr0u1CK9yEBYIKD9Xs43zz6vcVF8Fzl/5cLEbLfWmpyzxJiJtr3mnLSma1xa9Zoq5o5kEpN53yc3UDM1gGzVUDcGOX55jN5LVuipU5IAPB4e/864qacFSwuBlSZc76tWQM4mjABIbF1q04nkJCgN5yVK/ldUYGg2bZNt1Pc0SZNwk/8rbcAroMGAdysVoCqpyfnipYvh/w5HNT3ySc69HNYGPVv384zmjTBDezJJ9E+HjoEuf3qK+654goIotWqrXubNkE04+Ppy+TJbCJWK6AxMhJhuHYtLl1imVBK5wdylf+NYiZlNbleyhpQqnqakgvJlprq3bOHNSNh1F95BauPnHGLjITsSaCg995jk50yBYIwdCgEydubTT0piY32k0+ob9AgQILkeLr9doCnxYIc8PcHVKxZw/mw9evZ8EtKWBfnzkFC0tN1kJOnnsLalZnJejl+HAAUEsLGP2wYRLK8HJDzzDOAo4wMLOWffkqUyGbN6GNqKoAiKwuQcffdAKxOnbR2XM7whYYCOhISuLZZMx0efs4cnTw8L08HEEhJYQyysgBo7drRvvBwZE1ICEqvnBzAbGEhY37ddbTruusY39OncdeuV0+fzWvYkL699BLPbN4cwpyYCAgMCqIuCUn/+usAw3btGDtJ11JZyTs9cwaLwerVgMK+fSFyISGcxbv5ZuoZMQLZPGUKnx06hHXXzw+ZabbMXG4Xqf+1IhYs2cckvH5NRaIrmlOXyH2tWvFbQK27u77OMPRZvZqK+XNx9bxY64c5L9/Zs7UrIMXaYi6SKy4g4Nful7UV8xkr5/NWubnIgLNnmcPnzunzb3IOUtpXr171NhkG8/jkSWRJnTrU5+XF+4iJ0WfdsrP1+beiIvbyZs1YI1arJimNGtGvsjLq2rSJNd60KWuwspLvmjdH0XX8uMY4hw/T9pYttVyQ6Lj16mm3RaVo89y5tKdVK+TPyZPMgbp1aUP9+ijm/PyQLYMGIXsNA3mTk8M7P3YMjJSfDzbbtUunHdi+nTEqLaWeffv4PDOT8fLzQ+6VleHdcfCgVsZJOXOGtlssyK4GDdgXCgv57e4OaZUAeLGxOpKvyCI/P3CSWGnz8hjvs2d55uUMtOJKk+Aq1cqFApVc6PsL1S2WLskpJ0XSDJgjYipVPbKmM1g0B0opLkaT27Nn9Tx1AihXrIAE2WwQpscf1/WWl2sLmFJY3ESzKxEzlUKzbrPxrCVLAIxt2iBAx45FG1NcDFBp3Rrh0rIlgqh/f9zLHA4CMnz6KVa4t95ikTdvTgCJzZsBLnY7GunPPuMMkY8P4/PBBxAwT0/6IykQqqoQetdcQ1uHDtWHm1u2xJJQUsK4zZ2rw8afOQNovuEGzvyMHQugjYzkuffdB0B9+mnGKDycMzs5OWiijh7Fdc3TExBZWkqdSUk876qr9Nm/85X/hTDkSrnkk1I1u1Q7r+uaijmMuSTi3bCBeV9ejgLhzBm0pI0bs5lKgBNZ8+vXQ37Wr2fzTU2tnuogNBTC8tJLBAb64APqXbkSotawIXO4e3fm+iefsGabN+e6bt34PiiI75OSABkSuW7UKNZiRgbgpbgYEPHCC8iR5s15VmgoVrCOHak/O5v6/PwAMwsXAp5ycvheiFp5OZb7zEyUKfXq8XP6NMDB25t+N2lC36+7jnrq16ffdevS3uJirpFIpN26sd6ffx4QaxiAGnEH7dsXwFdWRt+bN8eydtddkDEJKBMVxTjGxQHaXnkFhU/37tStFGDHYmHssrKwxjZujJfCwIH8L8B/3z4AZLt2gMrQUNp2662My969uJ1PnoxM9vUF5LZtS7uWLGEu+PlBfHfvhrQLKbnzTlxWL1T+F+TTxcom2Y8upjinEpAiQUFatuSMk8Vy8ZYy2WP/rCJpB35rcXfXGOJi+xsQwFw0XyvJuwVPlJdrS6gEfanN2iPPdXNjzhcU6Mi3cl7XuUhKCjc3/jaPfYMGtE/IiZsbnx0/rp/VsCF4KTMTYiNRao8eRV7HxOiz+xERKKRLS3WdUVFc26ABa1POsVmtyKuyMtrl5sZ99esTpOnLL/nu3DnaEhREW+V+IZYdOnCNn5+OFhoXx7xs0oTvhEAfPAhZHTiQ+Xv8uJanP/1Ee8Vy6OUFgdu2jbadO8fYBQUh15SCSJeXg/9+/FEbMi5mfsuRmAuVPy1NgsViGWqxWNItFst+i8XyVA3fP2KxWPZZLJYUi8Wy0mKxNL2c7XGVC5cLkbs/YuETVyyz22RNFgCxxok1QNICmIto+Zcu1QStogIQFh/Ppi5JkcVf/PHHufbhh6tH75syRVvshgzRueikPWIZk7Nt77yDxmf/fhZhTAxAUNp85AjWsXbt2CzE6ta6NYBu/Xrtetm1K/U99VT1iJnvvYcg/+ILfu/eTV/ataPutm0JcvLIIwAqNzfOrgwdiuBasgQLQI8eOlT5xIm0Zdo0BP2uXQiiO+8EBI4dCxEODUVAb92KW0WbNrTt9GmA8dattCEujkAP4sI6ZAgasKoqLbwvpcuvq/w1yoXeaW0pEc5XX3k5CpDcXH7Lenc42LTXrmUN7t+PFczTk3UxfjzrcvZsLEwzZ0KyXnsNRUbjxhCJjAzuc3eHID34IBv0ddehkJEzJtu2ASbCwlinAwey1l55hfs8PCCQ+/djYbzqKix3GRm0qaoKIrRzJyRt0yZAzZ13QnjknN+NN/L8EycAbr6+3LtlC2snOxtgImfolNL5Jj/6CJkoQSI2b6ZfR48yRgIGRcElnggdOiAHTp4EzMh7khDl112HPA0M5H7JVxccDAGcPJn6Y2NRpD32GMqd06d1xLjNm6mzVSssAjNm8Ox77kFr/sEHEOFdu7inQwf6KqHQU1MhhM89h5xav57vWrem3vr1GfumTSF/999P/Vu2INuaNuV9bNyI3BswAHleUMBekptbHeS6omj+upgDkVyoNGpU8+cSRVrqciY75uApzuX3kjtzUvXfUswpDpS6OHLn5/dry4vZHbQmcuccUbpuXe0GbZaZEkyloEDnmjNbQp3JnaReEUKkFHLPzw9ZUL++Tm1hLp6etKlRI+qIi9Mun5Ly4uRJ/hcCFBxMO+rU0X08doz2iQtueDhyqqxMY6m6dcEw3t60R1xBIyKYC+3bU0dcHPX7+fHTqhX/FxTQl/h45PQPP7DefX31ZwUFkKuWLZkLchZxyxbaKOkSQkMhckOGQOYOHmRsLBbaWa8eOGjjRuRRYKA+mxkUxDObNNFuqocOIdPFAnvyJJ+7u9MnDw/6bhi8z+JiHbG4Vavqbprm0vQSsKHLRvAsFou7UupDpdQwpVRrpdRIi8XS2umyJKVUnGEY7ZVSPyil3rxc7XGVP17OFxHvQsWs1TcHUigv539zygFzVD3JZyV58gQwSp27dvH3wIEseKUAGd26Afzi43F19PQE9G3ejAbpgw90YJVx4zQwEWvghAk65LBS1c/hjRkDGIqO5vMrr8RFyGoFIL7yCsLF4aB9S5YAoNLSeObcuYDW995DeE2dSpveeEML8fbt+XvzZgibABxJGvrcczynRQvtIinnFyXIwkMP0Y4+fRAu06YBPNPTacuoUdQnwNRmY0N2d0e4/PwzmreFCxGCX3yBtu6mmxB8e/fSxx9+AJTv3YuguuYa7cLiTMxd5e9dLpawmdOWSEoEUbaYr5PzekpBZrZsYdOz21mjxcWsrYoK6mndmo0/Ph6r0KefQuAkStmNN2JVkiAf33zDptuqFfPzhx+Ys6Jgkc22SRO9lg4cIDjI7t2AgbIy3Dd/+gm5JC5+UVFY4AVEubsDlg4d0gRLoky6u7PG3d2RBTfdxOafn8+6O34cl6LiYohLZSUWraIitMR5ebiSnj2rtdinT9PvevUYA4l0uGsX69bhoM1z5yILjxzh+wYNWJ+S0sRqJaqnxYKyymaDeIWGQsYcDrTPL7yAC/fp04yBuIeOHo0SqE0bZGT79hC7zZup68sveQ9+frQtLAySHBbG2MbHQ849PXU498aNeYdnz/L8RYsg0cnJvK+bbsKCOXEibuNKMTcE2A4cyP85OcjrDh1od0lJdfDtSuPy6/Jb9nezy6MUM1itzUW/NmJ4vrouVH6vM9r5grfUVgoKaiZMbdv++lrpg3NqCHF3NVtqbrqpervkJyCgel1mUipkSaxFSvFeJI+ceESYz5taLMjUO+6gHd7e7PEFBVwnaSSUQr4EBYF3Tp3SyqKmTSFEfn6sU8n7l5hIm5s2Zf0fOcKcKiwENxw9qi2/eXnI3Zwc1qKnJ8+RACz79kEmH3mEZ+Tm0t7sbC0L1q2jjQkJ3FtZCXHMztaRWOvXh8zt20ffQ0ORt56eOjXHjh3IYx8fxrJBA+apyFqJENqkCYpzOdfbvTvPOn0a2SfKbaV0kBixgor7qZzJPnqUPtU0d2tKJfJby+W04HVRSu03DCPbMIwKpdRMpdTV5gsMw1htGIZ0Y7NSKvwytsdVLkGpTfhfLOCT/9esgeyIpc0cjdLs2pWYCHGTnHDm83Le3hAxKYmJOpG5ROiyWhEC3bsD2Hr2ZFHfdx/fvfsuzzHnzLHZsKpt384iHjyYesvLyTX3+OPU8eij1X3/7Xba+cILLNqMDDTMe/ZQz8SJaGvefhuyFBNDW7t04b6sLMZi+XI+mz8fwGMY2v1DQq/3709d7dvrhK0//AAQ27QJLbv4hSuFQH34YcDYjTcSoe6ll/g+JQVh27+/Tuj+zTcIobw8COLrrzMmhw8TBGH+fDYjT0/ceaKj2TC8vQFcsrGbhZ2r/P3L+ZQ8zgGTzFZ6cQOUdS5nYBcv1uk+ZJ35+HD9Qw/hBvjOO7gtrl4N0I+NZa6uX88c7NQJy/bevaxvPz820blz+XvnTp7XogUb+9SpzG2HA/Bw9ixkJC0Ni3VkJO0JCUEptG0b87x3b/ru5QXgkkTIZWWs8dJS1v3YsWzke/cq9d13rCGrVbsQ5eXpxM3Bwazp1q0Zn27deFaLFnx/5gxETNxHBUSJxr6wkDY0b44siYlBg92xI/dL8t6iIsBJr176PE6PHmi2PTxwXz12DKCybh3KnTVrIH5dutCOa64BSJWWcp2XF8BrxgwAUWQksmvzZsDOqVMolSIiAI0VFSi7unXT5yZ9fSGjbdsyf778ErkrblFlZTp3VIsWnKmrqOD6O+6AVN55JzLyq68AXGFhgNUlS5CL06fr8z2hodUDhLjSJPy6HD36x+6vjWhZLJqYpKf/vrr+ymcmKyqQA87lQsSzQwc9LnJ+XQLOSJFooFKXOWBNVRXybf9+LYO9vHTEzYAAlF2FhXq+GwYKlC++4F5JKH72rLa6CqEJCuIziRNw7BhePJWVPEOUzxLZ9swZ7s3I0CkaBNudPs1nZWXI7d69UaIfOIDlb8MGcJAkbc/PR+7JmbXDh2l7VJT2HOjdW7dV5PCZM1rJbrEwBoaBPA4MpK9HjtC2+HjGsE0b7mvZkmszMzWuKiiAsJ48yXN/+knjpuho9qfAQK0QE8wmQbtsNsa+aVP6MWwY78o556S5nC8Fx8WWy3YGz2Kx3KCUGmoYxuhf/h+llOpqGMa4Wq6fopQ6YRjGK+er13XG5a9XhMCZI+zV5HppJm5y5k4pbdEz59+R6+VzM4E0n7+TPCYPPaTvl7aY/Z0lFYK3N+Rk3z7I4apVCOb58wGSSUn6/F5+PmAlIYE69+yBsFmtesEWF+M+tnkzgqRTJ34yM/nt7Q3QSEuD4G3YABBbsAABsGcPlrQXX+TzpUsRlDffDCkVi9y6dQjwBx4AFL/1FgRz/34AzpgxnEtZtUqHQn70UZ535gxg99VXIZ8NG9Ku6GjGadIkQOSNNzIuLVtChuXcjxyAz8igvXI2qn9/QJeXF/clJenIUGIR7dIFq8yFyv/CGRel/u/IJ+c1bpYBSuk16pxTSyz2q1drK3tCAutJZILdzqYv+Sc/+QQQ4enJ3Hz1Ver+z3/0uVNRtHh5sYnKOZXkZNZIUZGOkhYYyPf79kEId+1iTnfqxOZbUEB7KitZx/XqASxGjgSI7djBWvfx0R4ExcXU/fTTKDiCg3XwksBA1tKBA4CPIUMAF0LcJBl3SAhaY8lpV1AAcdq3D6Kam0v7goJ0aO64OAiRuKo6HBCjH3+kjs6daX/9+sgpAVdXXAGw+eor+vjUU/zetIn7rFbafdttnK3du5fx79IFwBMZCSDr0AE58OKL3Ld2Le8gNlbnhbrrLkiguF+tW8f7O3YMgOTujkxauVK7VzVuTBuysyH9a9YwZgkJAM3QUMbs5Zc1aJOIqyUljNc11yCTli9Htq5cCVAtKdHz8cEHUTpcqPwV5ZPFYhmqlHpfKeWulJpuGMbr57v+YmXT5Mnsp7+vTb/fkvZ3KfXqXf4E1c4lLo51IrJMPH3kzLIU8zlAc7FY9Jm+srLq18kZvLAwsEJ4OCRf3mOzZshZIVxKUZecd/P0RC55eYE7JBqopCVo0gTZkJ6ObD50SHsNWSwoo7ZsQUa5uVFv/fq0qbBQp4DIzUXuVVXxvDp1IGU5ObRVgp+UlEAAt2/HhX7LFm0xi4vDnT8wkOsPHWIP2LeP58h5a8lzl5SkrXbffov8j4qibXXr0h4JMJOfr72nYmJ4TxkZXF9YiNyWKJzHjjGPLBbaVlT067OVTZrQvguVP+0M3sUWi8Vyu1IqTin1Vi3f32exWLZbLJbtp0+f/u82zlUuWC4mfLpzritzQmOlfk3ilNLn5MyRMu12gIm4cA4ZwmaUmFi9LUrpeyXfnZyh8/SE3NlsWA3EYpeUpEOC5+ay0cXFQYB27oQQbdmCb7a0ae1atGNyFm/nTkhUu3aclXnnHZ43ejTtkLMJQiTbtgVkvf46B4enTcNC1rs37bjxRj6fOhVBsWYNBK9fP0hjejqAs0sXrB3vv0++mbg4xiIuDjJptxPkoH9/gFJpKfVMmgQBlYTk99/PeHTpojeBH36A2Eny5muu4W+HA0IZHAx4DQpCWIlFRqlLo4Vylb9WqWmNm9edWOuck5PLWlRKK1sEsJvPvEqJi2Pe33MP865NGyw8zz4LWBcr9cGDbM5VVczFl19mjS5apNMKtG0LgcvPZzPt1g1t7P79gIWyMpQgW7eyNrKymMfXX0/9/v4Ahh9+4HqbjXZbrQCkHj0goatWsekXFPC7USO0x5GRBEzy98ddNCOD9jZooL0MvLx0nrv0dGRQXh7X79/PWhK3pkOHGNviYur/9FPabbdrF/U6dfT5mEOH+D4qChA1Zw4u4UFBKJ4WLeJ9hYcjC8S98eRJ/vfzAwidOcM769VLK3buuYd2HDxI+yXK3YEDyOouXTTg270b2eHmhmdAVhYWPk9P3nGzZoDAXbuQtSdPMqbh4YzR4cP07eqrSdny5ZeM8XffIXsiI3lnu3cjF1evBlCJ+6xzCP4/M5jHHykXeQTmd5X/qzL7Yt1GL5bcOSu3zJbj831WU0lPZw3LOpLifARC3p2kjxDLoGFgeRICYX7HIsNOn0Ye5ORQ77lz3CepEerXR+ksQXCiopDBDgfrMSpKR+X082OdSWqY0lLkVEICciksDPkua9Jm4/sTJ/i+cWPaKi6pJSW0sbCQn/btkcPr1ulAVIWFYCUvLzBO/frIQgk0U1GB4ksp5Fh2Nm0uL2e8GjfW5DYzE5l7+jRWud27keexsTp4TEkJ3xcVIXe8vLhG5KIkT5d8hiUlyO/mzemvpKORPa+ms5V/tFxOC143pdSLhmEM+eX/p5VSyjCM15yuG6iUmqyU6mMYxqkL1ft/RUP+dy61WfCUOr9rl7MFQP6W/7t1g1Dt2AGBGjas+pk+Z4FqrlfyYu3dC1CUaJPOlkWrFbCzaxcC7uGHdSJkd3cI0qpVXN+7N5a07t3RZCcnA1rESrFxIxp0b2+sae+8o/PdTZkCmRoyBM2zjw/1i6Z582YI5cKFCEFxCV2/HkGwdy/CQ8Drrl06cme7doCxHTtod+vW/F1RoRO1T58OGEtLA1D17o1/fHIyQqx7d6wC4gffogXCyGKB0Kan86y778bqOGQI0TKvvhph+PXXjJHLgvf3LrVFvqzJgqeUttxJLrvERL2Oly7FGrNyJeSpVSvm0T334Co0ejRzpayMeevjw/3t2qEQkWAi992nXZjWr2czP35cByto25Y52LkzoEjOgPj7s1769mUTnjOHZ+TmssFHRbHG7rgDi5JEglMKgOLurvPRdevGWr7nHq4JD0e5IuHHhRTWqaNdgfr0AXTs2QNZvOEG1pbk4vPygrwZBs+W6Hq3386YLFqkcy9JMt4bb4TESq6qwEDehY8PxGbIEEiynPWrV49126QJz/LwoJ7gYD4fMQJZ4ueHHMvLQw4dO4YcKioCsCQk6DQT4gHRtCnfVVXxXEmOPXs2pGvTJuooLoaQNWxIHc8+izItIoI27NunrYMzZtCW6GhIcZ06jGFuLn3Yt4/vUlNpt7s749q8Oe/l7FmUYgI6Cwp0FFGlaNcPP1x4HfzV5NPF4itzuVjZ9K9/YZG9mGK2IP0Zlq3/5RIQgCKktoTptRWrFflYWsq8b94cZUtAgE4r4VzCwrSbplnJJmflRNnr768TvktAkrw85JNhIHPlWEnHjuCUJk2Quw4Ha/XAAZ5XXAwGmjwZ5Yy4NYr3lFLIJ39/iF+nTvocshAkSVtgtSJfZD5KvjshjEFByOToaJ6Rl4e89fJCLjdpgsKrrAz5cfKkVoQ3aMD/hYXIpfBw7VKaksJ4BQdTx+HD3Ofrq9NU+PiAwQoLkVt16+qoo+XljGVNwZ66daNPFyp/lgVvm1KqhcViaW6xWDyVUrcopeY5NayTUuoTpdSIiyF3rnJ5y2+NeHihnFbmM3fmnHfm+81BU8xWQPM5H7EO2GwAxHbtWKQrV2q3nJUra7YAWq1okVetYjG2aAEYkOAOErFv6VJtFezfH1dId3escP37A0Tk3IvDgfb+558BnW3a4JolmrXJkyFHHTrg+qQU5E7M9wMHAlJTUuh7aiqkqW9frunald8ZGZzX69kTorR+PcBVtH4rVgAwlUKASnTMmTPRyhcXQzLvvhvgPG8eFopPPkFIy1mf774DXJeVAY67dEEAXXUVmik/P4Br/fq4gnbuzL0BAQDVW27BGlhZSd/N5wdcic7/vuV8AVXMa1wCJiml3TJlvYortVitJaqjWIrvuQflg5C706fRss6Zw6aYlcU6E1Dw3nuQgI4dWRd5eTzLzQ2NcIMGuCxbrczHgQMhFWfO8FNQgEV782bmumGwyR87BlmQyJuyuVutbL6RkYCNyEj6Mm8eG/r770NO330XOSE58gxDewuMGcO9mzfTl5wc2puaSps//RRAk5YGwLLZdGQ7d3fW/JYt1NumDesuJgZt8enT/J+RAZiRYAnR0TrHZWEh1zVpQp1duvCMiAiIsd3OeNpsyNF77mH9HznCO6hXD+KYkcH9paV89sEHELvOndGGt2lDFF9JBfHtt5xZFsLbtClKpaNHGRc5A1herqOQtm4NCJL51LEj7768nDG67z7k4JNP8i6Sk5Gjhw5xHvDKK7l+5kzApaSGEI+DwsLqgVWaNbvky+a/VRoppXJM/x/55bNq5fd4P5ldWC9UzBYkV0TS31ecz9tJOXtWj+/FWvqU0mtUKeRQYSEEpDZyJ9d5eiKXzBFO5Z2K1buggHb5+upzceKeXlWFjK9XD+ywbx/1SfTKunWRfX37UpfVyplZiegbFwduCQoCA8kZ4jp12EeSkiB4dru2mh0+zBpPTUVBFxxMPRKxMjiY/nfujCzp35/P+/dnnM6dA/9MmYKMrlcP+ZSSQhvbtuXe6Gi+u+kmLZfz85GLEREQwLQ0vWd07AgBjIsDO7ZpQ325uSj4xONM3NiV+nVU1kuR+PyyETzDMOxKqXFKqaVKqVSl1CzDMPZaLJaXLBbLiF8ue0spZVNKzbZYLLssFsu8WqpzlVrKpQpD/1tTIDhfL4LITOrMkfQGDqw58bFS1Yldfr4mXeY65EeSHg8eDFCUMzvJyfoeac9777GgPvoIcNSpE8Lr4Yf5PWQIwUbE8te3L/e9/z6A6qGHIJMS7CUhQfe/shIQ8+WXgKGICH3ur3NngIZSALVFi/gZOZKFv24dwvTQIbQ048cDlhYsAFy98YYOPJCcjDDp1Yv6HnqI/+++GyE6bRqa62uuIR+UhwdtMAw0UxJZTw4bt24NGLvnHgRNZiZWSEkqvGMHFoP9+xGaMTGM+fHj1DVoEM+PjgZMR0QQUfTjj+l/+/bVD+mfLxy2q/y1y4Wi5oriZuVKPT/FLVrWs7hprl3LXFq1CkAwdao+X7d1K5rKM2dwV37iCTbMadMgCzfdhAvzkCH89vVl3b/zDu1bu5aNurKSuu+7D4v0N9+gcCguZiNt3Jh7HQ6IxbFjyAUhHv7+WPmDg7GqPfggWuCiIn7c3CA9Ijt270bh1L27VvqIG5Wnp46AN3Mm9UvAofx8+rV3L2uwqEgnODYM7R7t4aEDKJw+zf9lZbSvSxeUM5s3Q4L9/FiLBw4gc9zdATazZ6Pg6tQJwCRum6Wl3BsfD7BIS6P+wkKsqoWFyJTISNqVmEibz53jnr17aWv9+ryT++7D20BkZ4MGyMv77qPegwd5DzNmIL+few5ynpuL/ElMhNiXl+u+LV2K3GnenHG323Gt79qVc5hLlgDU0tNp09q17BdHj1J3ZibvOzubcc7NpY5TJlXy39VF82KLYRifGoYRZxhGXIjEvr9Aue663/es//Wx/C3ltxCy8ylBS0r00Y7ainPgGYnOKcFPKip0FEh/f9as5PGUdp44oc/3Cjk0kz1/f74TMippBcS9MiKC76OikH/5+ciAigrWr0S/PHcOj4PDh5E7Xl58Z7OhLH7nHfaOxERkQVAQ8mP9ep579dWsfz8/5K1E/w4IYG1XVXF/QgJ/FxZyXjcriz2leXOu++kn5Mbhw5rY9enD3xs3ao+w/HyUcqmptP+995Cfnp7cHx4OpvPzY7zDw7nPw4N27d6NomvFCvY3Nzewk5eXDkTn7Y1c9vSsHh3190R3/dXc+ONV1F4Mw1hkGEa0YRiRhmG8+stnzxuGMe+XvwcahtHAMIyOv/yMOH+NrmIuv5WUna/8lhQI8jy5XsiU5J0zh0cXoKeUBn81Pa+8HGLz/vssgA0b+LxXL7576y02fLu9OlEU8PjAA/wWi56kP0hK4jtpr1jh7Hbae+ed2h3Abue5Y8agXZZ8VlOmAJAmT0bjpBTg9MorWcQff4xFYvVqnikJmG+/HQ3xxx+z0O++m3tTUgCor7/OuZzycoBZXBxCSSJF9ekDgHQ4OCs3Zw5A54MPcCM4cwYQc/Ag9Toc/N2iBYLQ2xuy+Y9/AHQiIgBCbm764HFaGtrzjh21K8FVV0EW5Xxfo0a04/RpQNXPP+vnV1bSj/vvR8gePKiTfCql8/K4yt+zXEgeiDZWrpXUI/K/WPDExXnbNr2ORWv7+OMA9YwMNu/9+wnuUVnJhhcXh0Lik09Yz9Om6eiVe/eyiWdlYVXbsoU5P3Mm60rIxalTEIgzZ5jrErwkJARX0dxcNvFDh5ABs2ZBRs6cYU02bYq2Vs6YpKRot8k9ewAucnD+/vvZsCVxcEkJ148erTfxgAA2+Z07+VtyUoWHI8P276fOyEj61rkza8lmo+3iRu5woHTx9aW/PXogP37+medecw3r2N2d8dyyRbsotW6t3Zf8/JA5P/2E3CgooG3ffUd7e/XSqRQKCiBRUVG02+FADmVm8v5CQiDyu3ejrEtP5zMJTvPWWzwvIwOiduIEirTKSuRcZiZtbN4cRZ6vL8/q1InxyM1lnPft49o+fZhXEgI9LAxL4oABvKObb4aQFxbyDs2u/H/jNAlHlVKNTf+H//LZHy7mcPqu8vuKmZD9llQPNY39hVINiZXNHNNAKdaDnFuTNhQVIQubN9epZZRiTcTHQ/7kLKKbGzIhNBTZlpeHTPLx0d85HDqqrpsbSjyHA7ncoIE+E9ywIXX6+iLDgoK4Z/NmncTcYtF/t2yJIktcTZVCQZebCxHs3p21LAFKMjP5/8QJFOiSWio2lv5nZ4OL1q6lDnk/Xl7gv+BgZKpYzZo2RfZ36MD+07+/9nqqrOS6Bg3Yj1aupN0Sqfihh9hLxC01NBScJRbF0NDq76lNG2S1RFeW4nzk6PeUv0SQFVf5feWP5KWrrT6lLpzyQNwtpXh7Y1oX1ywzwCsu1nmuamqr2ZLXqRNnYK65RkfYXLmSRdmhAxv5ypX8LF3KgnznHYSE1Yqw6tkTV8sVK3R77HbA4erVfC/3W62QHykSZe6996hXKbT4EiClQwcEi2ixUlLQ9tx1F1YIhwPBsG0bliwJJBEWBqj09MS1KCKCtnz2GWR261YsBklJtOnppxFCH36oyadSjMn48VgCv/4aQRYRQVCX5GTqk8h0qan0ITlZH5K22yGvosiNiUGYlpXxvB07eOannyK8H3qI8ymdO2PhGzWKNh4+zPsODEQwZWbSt48+QhiaSd1vPT/gKn+9UpPrs3ndKsWay8/XaRDkGrNSZ9Ag1lBaGhv45s2AcDm0L8GPkpKw5C1dynUSYa1bNzbt3r21i/bGjWieo6I4OxcaSj2tWrG2srMBLH5+OnpmcDCf161LNMkFC1gLvXppK1lVlY6M5uOj874VFmpreJMmWvNrtfKMc+ewThoGaysjAxBhsUCWrFbW4vbtjIubm44Id/Ikip7KSoCetzegpmFDLFn+/sio778HfAQG0qb16+mvnx/98vDg+yZNkD1Hjujomi1b0h6bjTW/d6/ON2cYuKguXIiFTdw6t21DNuTkoJEPCEC5FRXFs/r21a6WiYm0Nzyc/7/6Ck+EiAjG8/rrdSTjoiLI3p49yImGDQFKBQW8M4uFOXbVVbRt4UL6I1aAsDA9JjffzLjdfjtzo7QUuXT2rCbkEtzGDLgvlQfMn1AueATm95ZmzXROWVf54+W3hLkw7/fO5UJEUWSu5LpUqrqrZtu2mths347sFOtheTlrPDlZpyGQdCxiIRQXwrIy5JV8JgSzvBxZZLEgY3bt4rfk3JR7g4L0WTtfX9p8/DgYqV491mh6OnLA3R1lUtu23JuTwzUpKfRRZHKLFhDXDh3ANx06INt27uT6oUOR4RLxUqyZoaHMd0mu3rw57ZR0D+npELVVq5B7lZU8LyaGNgUHs1YiIpCBaWkowSWXnpeXHreuXXkfYjFUCvkq7prO8+RSuI+7CN5fsPyWTef35qWr7e8LWQXF3VKiYJo/N5M+pVjwkyYB5Jy1UOZzO0LCPD11NE2p290dADV8uCZxffqgke3fH0IYH899PXtyT9++miAqBWD87jsApmhFKioACTt3arefzp01eLPbcRV69FHAw7//jYD56COEh7s7loE2bQB0mzdzb1yctlZ07Iiw+vBDgI24ldlsfP/QQ3zmcCBIunVDwMyZA/GMjuYMX3GxDsBSWQlo+uYbQFSbNkQNzM6G+IWF0T9JnTBhAoBo3jzqGzkSwZuYCEHOyeF/OYxttTK2X3yBgIuN5e99+wBlc+YgGOPjedbXX9P2oUMRlhK1Soo5Yp2r/L1KTfLAed16ezNfevaECIwbp9MgKAVpstsB8eXlzON77mG+isvziRPM13vv1WcoRo+GzMXHs2mOGKEJz759zLVBg1hjhYVsmG++yTxesoS1de6cTlcwbBibtiicysr4f8ECrktJgQzUratdk7Kz9UH54mLkiJcXm7JStNNux9JvsdC/0lKdu83HR+eRcnMDgJw4ASBKSKAvAp7c3HjWuXP0OyCAdZSTw7NLSxkHAW4SREUpbe0SYmOzAUAkd13fvtQlbrJublj6JE9W+/YASzc3wFTPniiSJBJfcTH1v/MOsiI5WaeG2bcPmdi9O/3v3p3vt2/nnmef5d1Nnco7mz6d3IKGwfhdfTVy78gR5oy3N4FjUlJ0eHQ5YxkWBilt1Yo5l51N+9q2ZbyvvJJ3m5KCW9SaNbz/xETeXXo6igLz2Za/q1thbUdgLkXd+/frQGKu8tcpFyKKbm7szYZRs2JVkoYrxdpzvleCqRw5gqLJMJALx44hU4qKNMksK+NZNhs/dero/JqGwd+VlaxZaUu9ehC6Q4dY55IGoaAAuZaVxfPFwuftjZJGLJNNmkCkGjakzuxs/q5Xj3Uu+fny83X6mqAg9onsbK4pK0OmyHnpevXAeZL4PSgIuSVEV7BrURH46eGHkRk9e0LAzpwh/kBKik6f4OXFvXXqgOMOHqT9+fk8Z98+runRgzbW5n6bm3v+930xxUXw/mLlUrhdnq8O53NtNf3tbGmrKeWBuGbW9L0Ub2+AgpsbG4YEWRHNvrhv2e1o/gUwvfOOrrtvX8CE3BMXx4YtydHl2cXFaIPvvZcFJ4FTyssBEDabvn7AAJ3b7cgRiNKyZRC5uXMhRj4+tP+GG/g/Pl4DqCeeoM6hQ5X6/HOdNHnPHq7bswdA4XBod8XiYqyB4kteVkb73nuPdpSWMkYdOiBo9+1jo/3nPxGIbdoAmj7+WEe0k7Nu/fvr80EDBkDcrroKUDt3LhqjxYsBi+vX62hUAwciIJOS+GzFCoBl+/aQyPbtCaASFAQwGj6csZJcR+3bc3/TppDl/HyEfmOT49DfWEP+f7rUdkZWomMqVV1GJCZWz3snZ/LWrGH93nEHrsWzZmFNb9GC+t98E7fsO+9k7sh88fFhXd17L/NLKdZSdjZzb9AgnVg4JoZzerfcwrwOD0exdOpUdbfQNm3Y5IuKtMviwYOsj6IifQ6tqor1VLcuhKukBKAiFsCkJNoxdy7gRKJRjhmDFthmYwOvU4f7xVWzaVNIjlK0ydtba3LFUuhwAFKKi1mfp08jG06cgGhKvcOG6QAHpaUAsrw8tNaHDvG/UrhVlpTQTh8fFDRJSQCY6GjGY9Ik5MmIEYxZRgYk89QpNN4SlOCOO/Au6NBBky7JP+XjAzDy90dZ1rMnY9qvH8Dsmmsg46NH8+yyMmT77t0ojpTinUyZArC55hrk3fr1zI/NmwGDw4drl6bBg5FFBw4wzkFBWPDq18fKO2MGcjQgQJ8tMiuflLo0blB/VqnpCMylKOHh2pLhKn+8/BYXzT9SJPKuUjXvu6WlOoCOBFOVUPxihRMSaXZhbNUKOSMpDzw9daTfY8e0q2ZICM8VGVpVVf1MWVmZbteRI/wWBdfx47QlIQE52aAB8i04mOdWVLB2d+/m78pK1vWBA+xDmZnavdXbW7uKHzvG3pSaijyTXHfLl+PNUFTEnuThgTw8cQLi1b07iqOYGNrg70+/t24F83z8MXI2IIB9QsbN11fnKvTz41jATTfhgm61sraiopgTpaW09eGHGefOnZFTUiIifuMEqKG4CN5frFwKt8vz1eH8nfwt52WEgEipjSw6n7tTqrpVTwianAPr37/6eR1xX5RrRo9Gu2u3s/CU0ufpJPpefDzug/HxbPhjx+KmmJTE75YtWRQVFZClTZs41zdpEvWMHl29Dz4+kMmEBB1d7sorWcytW1Nnv34Au379dJjfqioExNKlXCdn/KqqWPh33aWFetOmnN1btIj7+/UDfPz8M+ddGjZE8C1Zgibc4YA4Wa1ssl98AcksLuZ7ux3AlJoKyFu0iHsHD+a+48chksOG8T6XLOHH3x9r3HPPASqvvBIB1ayZzuO3fTuAUoI/3HEHv/39sYD+9BNCdscOCPHcuQi3PXu4LzCQ8TFHYXNF0fx7FrOcMLtcS3Jyc0Rc87UrVrAuFi/m+4QE5sAXXwDMr78egqCUTnlw5Ah/L16sc9GVlbHZ5uZCCBYtYqPNyuLzTz7Bit2uHeeyFi3iu2HDuD4tjbldrx5rw91dE7JOnfSZueJiiEPjxszlwkLme2UlYCkykn5kZqJQEU2vUtrarxTt/eYbZIAEZDlxAtJ15gzPKyzEDbNZM8jO6dPUYbNpi59S3FteDjn28WFc27fX4cl9fanXaqXNYu1r2JCfli0hOQ4HpNNuV+raazkD3KgRACM/n3VssyF/T55Erhw5wrhERDB27dvzfWQk8uHttxnf48eRl56eAKkVKyDpSulgTjJ3Kiro08GD7C8jRiB73n0XkNO1K4E9Hn0UwFZczPutqOCdRkZyzaBBkNtly9hLNm3infj5MU633UZbJAnzyy8DqA4f1kmZJdCNFFcQqJrLhaxFtZGWunV1xEBXofxZid89PZn/NZW2bfm+YUPWlxTnSKhWK8qsevWQcfn5miRJSoySEh0ISnLBFRWxtszn8Rs35rm+vjwnPByFl3glnDoFxkhN1XlNJfLnvn3IoaAgZLEotjw9kW8BATzTwwMc4unJdT4+KBZjYlAWlpcj4yorkRP16rE3bN0Kke3aFbxUXs7zT59GjrdowT0S/OXKK7XXknhv7NhB/xs2pA3du9N2Ly/kWloacnvHDhSGJ04gZysr2bd27Khueb0UUWldBO8vWC7Fmbrz1WFOSG4uzmfonIOpONcxcSKL2Pl7IX/5+Tr1wNq1+uzb/PkQKzFBC4kbO5b/FyxgAVdU0MaYGB0hrVWr6oBT8sN1747mpH17hEGXLlwTG4tb4ltvoSl59VWApMPBz44dXNetGwsuKQnylpyMln3jRsDYihUQrOnTEUj79qFNVgoXzK1bOaN24ADXOBwIqs6dAVy7d3Ntfj7tHjoUQfjBB7gOff45i15cwioqGIfVqyF4770HeZowAWEj4HbIEIDZ8uU8MyICrZEEoHjhBc6uKEUbx44F5PTuzWeiSevYEQHcoAH1K4Xwi43l+f/6F/8/+CBW1Lg4iF1xMYDdYoHM/vCDdmFT6rdFE3OVv1ap6bxsYmJ1F2ixyMv1CQloQH/8kZ8PPuC7ceOQFQkJzNN587Sbz1tvae3ojz+iWElJgaQ0bapdCvfsYV3L2YiEBIiE3U5de/bosNp160J69u6FkIoFrV071mJlJWQnLo57xN1PwvGL657FUj1KnWiTpQh469GDzVlyGgn4kciUEl48Opp1Jpu51aqj3cXG8ruyEuJy7hzjUlWFy5Gcl62qov9HjtCHigrAw7p1kLMDBwBdRUUEmzl1iu8WLWLsJLF7u3bUHxaGMmjBAuTSrFnIrnr1IH7XXYd8KSxEPri7A2yEXIu1Jy0NWbN1K2DqmmsY159+ghz26cM1K1ciR4YPR87u2gUJW75cJzcuLgZsrVihz0zu2oU8tVqZB/XqAcD8/JClN9+sAz117sw1vr602dNTKw7NpbYQ9f+Xy5EjOnBXbcVMWsRKU7cuc26vyVHUJf//eKmJTIeE1I7xZE6Lh5IUeU+xscgPUaCYSZgUcVUXLwTn9CJeXtRnfr8hIdrLSSkd1dLNjWuzs8FU8r2nJ/LqzBlctW02visvh5x5eID9qqpohyR7Nwz6IN4DQUHaC2rwYMYlLEynynnvPZ69YAH31K2r+2e1aovjqlXsbz17smdkZVG3BMM6eBCZV7cu/Zw1C8IaFMSPkLW77gIDTZ+ulVySuqFePeSRRB9VCmX/kSPIOXO5FMGOXATv/2ipzcpnJnfOwVSkOJNDM2GU8LLjxmFl69mTjXzIEH7EPbK8nLxF+floZLt1Y/FbrWiJt2wBCCYn65xJYp7fsIEFs3atPnf36acApT59WEirVgEaWrXCSqAUQDI+XrsfuLsDIlJSWNgvvKCTqMfGao3O44/z3NGjAWdHjyKAKir0ZhYfDygaMQLiK3UkJHBNVRVC56qrlHrmGSIB7tiBNj0qijN+DgdEr107nhEaCnH9+WdIcVAQgi4kRKlXXsGq9p//QGxLSxmrzEyE5bp1vIf774dM33yzzl/lcEBKxWVNxrp+fcCaAK3kZATw558zD06epP7TpyHuDRoAWPv0wa1r0SLeqXmDvxR+5H+kWCyWoRaLJd1isey3WCxP1fD9IxaLZZ/FYkmxWCwrLRZLU9N3jl/St7hSuCht5RfLu1jrJOBRbi7KFrEyp6dr8iIBl0aNYrMcOhQlyYIFuODJOdMePTSgsdshK5s2Mdf9/SFKrVsDNkJDlXr+eZQKubk8Q6JqSlqPLl2QA8ePM6dDQ/nt7g7R2bmzunuNvz8WNgEuBw7os8FK6fNb9etXH5vNm5EN5lxGwcG/DnWdlUV7BITl5elcdmlpOkqnUrQrLEwHI5Akvr6+3N+oEWuyrIz7g4ORoz160JaSEvpYVcX63r5d/9+8Oev+wAGlbr1VB4iZNw8vhD17WNulpVja1q/XQRf69kW+fP65juJbWYliKDiY9v3nPwC3jAzq8PfX6V6Sk5k74t4VHk7ddjtKtqgo2njwIAFlysoYp4AAyONDDyFnOnZkLqSkIP89PNh3brqJvsyZA+HYsYPxELdVc/k7u2hernK+QB81FZnjNZ1nlL3WRaR/f6nJAnj2bO3HH0QBJQRGirynnTurY6CazskXFfHOJJS/u7uuy9+f+yXKsZTTp7GYSfASed7gwRChJk2QDTEx4Jh69VjrQUH0p7ISvNW0KRjnmms0wRLXzzZteEZ6Omu6uJh29e6tz87l5IAVo6N5TrNmfOfmpvej0lLwWlUVbW3YkPodDh3w5aqrkLd5ecg2SScjFsayMrCo5M6TaJ0nTvB/QACEdPlyZE9BAdecPcv+0aoV8lq8NJyx0iWJjv/Hq3CVv0IxByY532fmcqHvREtfEwkUd86aXDwl+IKQMXPAE6tVu0z16MH/s2dDZOLjIQ5iXevVSydMtlrZ2N99F5fIyZO177e7O58tXcph/jZtAI/PPgtAGDMGEuLvj6voW2+hzXV353kxMYAEhwOg889/AkC/+grBER4OkJkwgUW/dClgaflyLFu7d+tknykpLORZsxBQM2fS7yZNEC5ubix2h4P+yqHbzEz6t38/9YnbU3Q0QKpNG8DeJ5+gKbLZAECtWvFMOVPUujUWSknz0Ls32iFxizt9unp+mHnzEJQZGbRNrBVRUYDRL74gKIYkdP7wQ4RhQgIgyt0dDb2HB/2WvGdSzD7l/+1isVjclVIfKqUGKRIBb7NYLPMMw9hnuixJKRVn/D/2rju8qiJ9v5PcJBcIECD0AKH33nukW7Gva6+Igopdd1d3113XVSyAiNh1m70h0kuA0EPvvfcW4JKE5Cbz++O9329ODjcNElKc93ny5N57zpkzZ87MN1//tE5WSj0C4A0AvwscS9Fat7ucfb4U5LbeC6J955qXGpQ+H4WCtDRayKOiqICROLz33zcCk5TpSEnhGjx9mnNw506e/8EH/B8bS2vQ2bOkDadOkdlIT+cGWrkyhbmICLrLbN9u4kNSU7MG+ovmOTycazcigueIZlmyN+7ezd9PnTLPnJHBc2ROJyWRaXDWUqtenX3bt8+k+k5NNRt2RASfR5K2pKVxPMqWJaMhFrFNm7KOd/XqfEZxK/R4+NwSH9iunXGbCg3l8+7bx/726MHniYjguLRuTeYkJobreu1athUTQ+G5Tx8KhMOHU3H2xBOkb+fOUWG0ciWZpMxMCkwSg6s1lWN161Kpds01VFZ5PHSJ7dKFdKh2bc6N1q15XZUqpEvnzpmC57t3cy706WPifHft4jXNm5N2vfsun/PWW/kMycmk1Zs3c26tW0daFRZGmufzkTnbsiU4w+T0NrAgsnPryw1ORYlYaQAT754TnOWULHJHXsZKksU5Ua4ceYeTJ0kbUlKMsCfZHTMySFNSU2mhP3SI70/c2HfuNO3GxJjyMB6PqeXpTMiSkGByGiQn8/xz57g2t283Hk5Vq/L7ddeR5s2aReGqTBmu5bVreV7t2uSXypUjfYiMpEBVrx6t/C1aUKCUDMpam6RO8+eTLztxgse+/prPLQlWpAC6ZAStVYvtiIu8uKvWr0+aGBVFviwigvc/fZohQb/7HZVkVavy3Pr1+WwREczcnJbGBHWzZhmeUMJbJLdCQbiPWwGvBCA3xk2sZ273Svdv+W3X2ZY76YrXa5KkCMTFUyDa3tRULnIRxuLiaMkDeCw9nUJXmTK0fnk8ZC6efJIL47nnjKZ11y62FRJCwSMqit/9floDatUyVsJXX+X3vn1ZnqBhQ2p+W7SgUJKebhjEESNIcJYt40IMD+eCl6Lk99zD8Rw40NSBiYmh1a9XLwp0d91FAvTrr3QLGDmSxOvVVxn7Nn06hc39++lCJAxn374ct3Ll2J/Ondle//68V0oKGd8KFcis7N5tihWvXWsY6gMHyIDVqUMmbvhwMsMeD8ft+HEyrydPUpgU62z79nSpeuABCnaywVerxridwYPZ3nvvkSFSim4IV11FJvTAAWruk5PZt0qVzBzIrYZPIaMLgO1a650AoJT6CsBQAP8v4GmtnY7KSwDceVl7WEDIy3rP6dpgSZWCKXacCVdSU8nUr1nDefLCC5z/jz1GIWDJEmNFBmhladaMa+yTT6i9jIigwqdDBzL3ZcqwvalTeZ9mzUgLrrrKaEljY3ls+XJulAMGUJFy5gzne5Uq3MBjY02shmhZpQ7m+fPc9M+f53o4edI8t9drYjuSky+0wjljTAFjfczIYJvJyVwXSlG4OnTIxH0A/O71koZUqUJ64ywtIrFilSqxr6dOse8DB5o6TkeOUCCUe1asSJoi1vjTp9nPJk147axZVAwtW0aGplo1vj9xudy50xRGDw9nyZWWLUl/JcmA1HNq1ow0atEiKrqOHqWweOwY73HvvXyfP/xA+rRnD4/Vr2+sfVLa4Z576KGQkcH3FRXFd1G+PJ/96qtJ/776itr9zp35jGPGUIgVrXr16qS1M2ZQIN23j/MvPZ33LV/eFHJ2xrlI3KOFQX7oh1Mwk0yMItyJy2ZORboFeRFYZI0VJUTxUBLun5HB9eS0yJ47x/eSmWkEPMB4B0gWYMGuXYbX2beP7dWrxzZ27DBxxIcPcy2dP8+/5GTSGEnwFBHBaypWJD2pVctY1CVGF6AyZ9ky8jcxMZxfVauShg0dyrVfvjx5uCNHeI9atfh72bL83KED6dh99zFE4PBhzsMOHchjLVtGWnH//RTwJLQlOdnUFk1NpVC3fj3He+1aE3tXoQKV7hUqkJ4kJvL3zEy2s2UL6VRCglFSSZ3VunUZBvTDD3zeqCg+a+vWVPS3bGkEvILgnayLZjFHXrJquhkv9285tZvbJHJn2hTXTdFwOGNwBOK+GRdnsmL26kWBRerUTZ1KV8y5c6mxOXCAG/H8+VwYV1zBdNqdOjHodfp0HrvySrYxYgQtbb/+ynMWLeKxkBB+jovjd/FBf+stCncAN4pGjRib9/LLbP+118hEnjxpYvluvpkMa6NGwDPPkFj8+iu10gcPkoC0a0ci0b49te3Nm1MwnTaNxCw2lkSiZk0KcgsWUEO9bh2z/vXvT6IiNWhatiTjWqOG0VyVK0cCsmsXr4mNJRHas4fEtlYtjkGtWnw31aqR6MyezfMleUrnzmSGq1UjcYqN5TXr11MLL4XZpeSDlI0YNYraKrGMLFlCprtWLY5hjRoct8GDuQk44zdCipbC1Aawz/F9f+C37PAAgKmO716lVKJSaolS6vrsLlJKDQucl3js2LFL6vDF4mKTM7npi9M1O7tyKqmpdMl8/XVuzm3bUtt4003cqOLjTUB6UhI1ms88Q43pJ59QSPnyS27SMTEUKLp3N8zhqFGcr3XqUJiIiOCcOnmS9162jHNWajsOH27oWN26Ruu7e7exxp05YwQ6cSsSRkkyxDlLQZw5w/bLlg0+plK4FyAT42Y8U1LIgGzdyrbcQmG5cjxHXNfEyhgWZix227bxesn8mJjItsLCSCulxlRoKNvZuZP9KF+e7YWGktlo1IjnJyZSyTVokFHkHD/OczZvpgKnfn0KbJLy/OxZjs/x4xTEJJHCO++QYTl/nta0tm3Zt4YNaZFLTzeu+L17k+b16kWl11VX8ZwqVRjjXLEix/jllzl/duwgrWzWjMe6djVF3tu2ZVuxsey/18t5UakSadLZsxxbv59zIDTU1O+TcXfCCngXIju3+mC03O8nw16p0oVJIYK5v0ZEXFxcntdb9MIdULTCXXb3l3gygZNeiXAnJU8ACjyiBHJaiZQyZZbEpVKy4+7ezfV94ACVKcnJFGZOn6YSCeD7b9jQ1LY7eJA0TowBokQSfiEtjbxIzZqmvEt6OvkopbhuT5827ucLF5pMoadOsU/nznEvkPp3kiCqcmUq8WNiyCtKAkCJyztwgKVU6tcnn3PrraSLGRnk/5o35/UbN/L5tDYlgm6+mXRJFHR+PxVL7duTT7r7bh4X2pySwr3shx/II23dSoPDLbcYN9LkZI65UzneufPFzxOBFfCKKfIqqAmccXDZaeCdbUtGPGchYve95TypZSVtZ2SYfgHBM+odP04B49dfyaj4/WT8JH6uTBkyZqGhDOL/5z95floaj7/zDl0s27RhGx07crH/+COzpfn9tBj8/DPPXbiQ99+3jwvq/ffZz1q16G40diyFrtdfJwEZNYpC4Guv0ZqVkUGhZ/Fimtcff5yMzZIlRsN0553U5CQk8Nr77qNlzuNhHMv06WR4+vcngZJA6FOn2M/9+7mQ587lve67j4SjcmUSML/fFPacOZOEJjSUxOGLL8jUxMczHq9ePRLTMmVI0CQ+JjKSDPDgwezDp58a10upzXLLLRyrvXvZv5tu4ri+8w5j+/bu5ThMm8Y09uvXcxM5cYJ9OXKEGer27eM7i4w0Nb5CQkjcBCWl0LlS6k4AnQCMdvxcT2vdCcDtAMYopRoGu1Zr/aHWupPWulNVqSJfBLgY90w3ffH7TZ1LQWqqUepMn87N7PRpKhxCQ6nwmDiR9CQ0lMqLVq24aa5aRYZ98GCTcTE9nenwT5/mpr9wIQXAqlWBV17h53r1KHhs2UJasmoVhYsKFbgJCkMTGsp53qULtaESByRaaCdTKPFxbnpXoYJhat1JVZKTL8y86PGQkQDInCiVdWMGjECpNde2M2bP42G/MzONACqxLk53KXHjlmcSt9CkJPb3wQdNBlCJFYyM5PoTN9D0dDIpkkjh1CmO5cKFpAWnT7OtzEwKX0eOcOxfeokCWZkyfOc+Hy2IDRvSU6JNGwrojRrxGRs2pHfBnDkU4P/+dwr0UnKmb1/e93//M9lId+2ikHjsGN/d66+z3e7d+T4lZubVV8mI9e9P+nfTTWTuJAY7IoLCpwjSlSuTZlWqxPfTtCn7ApC2OeFObGARPAavShUjwDkFtNBQzh9JKuSEKAOckJJC+UURe4IUGgrCpV4SOwmEjwDMXiyWOye0NrQlJsbUvatTh+vS5zNZJgHS54wMKuePHeM7Dw0lbaldmzRgxQryAYBRytx4I3+79lquyR07OA+0phV+40a2I3vKoEEUAJOSSNMaNyY9+/BD0pIqVUwGyxMnKFDu2GGS7n33Ha+//Xb24+OPuR9MnWq8P06eJG+3ezetfy+9xH2rbl16Zfl8VDa1bcu+Hz1qkqi8+KLxSvj1Vz5nkyZcB3XqmKzQvXtzL/vjH0lTH3mE+13TpuTh5szhuRL7Le6kgoJIUGQFvGKIvApqbuRFGHRa7qR2lds9a+5cU/7A5+OmGh9vznVPPCfB9vs50a+8kgtg82a600RGcjPu1YvuhmJ1W7mS91i5ku444eH8vUULWt02b6b7ZkICF2rt2nSFHDuWyVNSUrho9+1jP958k6b8hx7i4gsJ4cKU4uRK0RVx0SI+U+XKdCmaMoXWuIoV+TkqikSlSxf2QYqASiaonTtNEpXDh8mElCtHAjdmDM8/ccKkWK9Th1obKYLZrBnjBmXsjxyhYHb4MJ/7kUfIPJ08yfdQvz61SkOHUqgaNoxEJj3dFD+vX5/MUdWqFNwPHSIBu+02apfmzqWA+ve/s0ZUZqbJVHrkCAXOhg3JyHk8JjvdFVcYLfiXX5KwR0dTQN+50xSg3r6dn52bjVtjfplxAEAdx/eYwG9ZoJQaAOCPAK7TWv8/O6+1PhD4vxNAPID2hdnZooLT5XLMGEN3Zs0y69/ny1pzcvZsKmV696YS4c47TZmPRo24mX79NTfjGjWM1a9zZ85pya547Bit00uWkC7ceivvceIE1+a2bZxv6emcfzt3kpaIoVQ00UeOkCEQQUlQqxbvHxJimFBnMoiOHbMyp1LfKSc4BcRDh0hTgjG4guPHySCItc7vN8KaMK5OobJsWT5XSAgFsQoVTGIDiWtRisJSerop4hsbazLndetGpk5cpeLiTOa7228nQ7J/v1GCnThBRmX/fj7/3Lmm3lT16uyTZB+uXt3Q0zp1+PmDD8gc9e1LRikuju/iiy+orPrgA86LWrUo7J87R7rcqxdpeN26xn1p5UoqxDZsIIPUty+14gkJnG8//si2KlSgsuHAAc6Jgwdp7ZNsyz4fx03iiCpUuDC+rDBjVksqpFajE05FndR6dCI7oc2tHCmI1O+lCW5lU3aZE/PK7ItFWgSF06fJS3g8FAQF8v6EJ9oX8HM5eZKfy5Qh7Th61CiHMjO5XqWsVFgY7yPul34/15p4XaSns73Dh41CxuMhD1e7Nj+XK0e+pUkT0oMaNUgva9cmD1i5soklHD2adPbMGbYniqGyZUlvwsONoFW/PulF27Z8/u3bqRiaOZO/nThBXuqWW9iHrl2pFDp4kHN58WI+R9eu5Bd//pl7RYMGpjbwVVfR6yAykgaFJk1Ic0ThnpHBfXLuXBMKFBpKmn799fxcuTL5zkqVuNetWWPeodNV9mJhBbxiCmcsW16Q1wBlEQKDxdDJ8d69OcHFjzguLqtGXz6LEBoaalw1p0zhtUOGcOK3bMl7TZlCoczvp2Zk0SJTV07KDISGMsg1JYXnezymOGZ4uCnQHR5O4tG+PTf6OXOoCfr4YwbhT57MPtSvTyFMipJ3785rPvqIxxMT2TfR8ISFsW+hoYz7Gz2ajNPevSRuO3bwt4gILuL587kwx4/nczz8MInBoUMUQiUOp0UL3vvFF3ndddeReZs9m9qjzEyT8lcCg/v2pfXi9ddpgRS3B0l08uijZKqbNiWBuukmCnkJCXT5jIoi4Th0iELZmjVk7Fq3pqZ+0ya+nyNHyGRKCvxrr6UAK1bFKlUojPfqxfdx5gzHtV07ttmgAYlteDjH75FHsmpbL1eR12ywHEBjpVR9pVQ4gNsATHKeoJRqD+ADULg76vi9klIqIvA5GkBPOGL3ShOcWXFHjcqaMXLePG50v/xCi27Pnpyjf/87hbJ33+XcX7iQ6yMlhS4oL7/MOVK3Ll1T3nyTzMZ//0uryqFD3PiHDOE6Skkh8x0VxTlTpgw3W2HeT582cXNS0sDZ/23bgs+1w4d5jVhw3OdImZSLgQhlkqUyN7gTDjm/Z2ZyfTlj+CSt/9mzFF4rViQjpRTp3T33mLin/fs5pmJA3raNNOOJJ8jMCH3NzKTC6uhRtnnuHMdZCu9KMeQ5c0ib7r6b416hApmvgQNJA665xtQIHDuWrtpHjtDaV74851OPHnynffvynU+ezP5FRpJxCg83NHXDBgqohw6Rkapdm5r9GTOo8PrpJ5OEZeNGjlNoKBlI0fgL0zhgAJ+veXPSxl9+MVk63QKGrYN3IWJj+c4ArkexcpYtyzV98qRRkuTVGifrzqnIqFnTJP0AijYhV1FDLG3ZWSrzOs7iiizzPCLClAdwQt6feBmcP09ltpQ8SUkxMcPp6Sa+buVK470gyq3z50lToqK4ng8c4H1lvkgRcUlsFRlpsnLOmGFiNjdtIu3YupVt7t5N2rd4Men/6tXsR8+epHeVK5MPqlCB/OKhQ/x75BHyJZUqcX+RjMCff24sbB078t6iiN+5kzxf9erkf66+mjTwu+84T99+m9d27Uo6M2wYn6N6dY7bn//MEJ4yZdiXb78l/axRg9Y7yY7s9/Nd79vHddW+PZ9x40a2274991vnnLgUWAGvmMFpvcst9k7Od1rl5Bo3oXC24/GYQrqipXdChDyJxRIN/9tvcwNPTc0qKMbFUVhJTeUiDA2ltSo0lELAtGlsZ8QIttmvn7nXli0UiiTINDWVC/z113n8228pmLRoQY3NlVfy92XLKKC1aUMmcsECamaaNeM9T540Vrd+/WjNu+MOLiDJZpmaSiIi1ri9eyl43n47icBVV1FoqlqVRKp5cy7q9u3p6tS7N61o99xDYjBtGpmWIUO44IXxFLfS+++nZXHLFvatcWMyUCEhJGAnT/I+Y8bQBVJrju8335DIejx0d9i2zcTMJCSQiZJUvIcOUTNVsyYJbadOJDING/L9bdjAsShblgRo5EgydFrz2Oefc4OvW5fEeskSJjiYNo0MZ6tWZKi+/ZZMVP36RtNVuzbPFQIFFG3chNbaD2AkgOkANgH4Rmu9QSn1ilLqusBpowFEAvjWVQ6hOYBEpdQaAHMB/NOVfbPUwOmuLfD5OB98Ps7lZ581WR4lTvSbbzjHe/XiJiqb6fr1dJ/+3/9osRHhSmuug5MnOd/r1KEAuXChEe5OnaIAIfXaJD5BIEyHsxamQOusabsBrrMjR4wloaBiaKKiDBOVm5ufuGeeOEHGp1w50iWxikif/X7Tv8OHTXZM+e3sWWMpnDKFLtVC4wDSBaH7WpskUZKcolIltrtsmVEYDRhA+tayJelk7dqkOddey/stW0ZBLTmZDMr27Xz2e+7he5N4OIkbPnKE7+S66zifxHvh8GHSjYMHaaVr2JDP3agRGbKUFNKYfftIU1eu5LjedBP/b9/OZ1u4kPc4e5bz7exZzpMGDdhefDzH5cQJjs3KlaTZQrdFOy7zJlhq/986fD7uIwDXjSTJaNCAv0scnbMkiLj/tQ/4ONQJ+E1IGn6Zw04BW9qSd1BS3PkLGkqZONuLdUWtVo1z273fZmRwTTlpqBNSGLx1a16/axfXRkYG32F4ONdfSgrfk9DRs2cNXZG2fT4Tt9+mDdd4hQqmHMuZM1RKr1plMgrXrEl+KyyMn8PDDT2TWOJt24yglJZmrIYeD70Kzp0jX3XsGHmen37iM2/eTD7liisoLHXoQMV75crkZdq1Y5/69GFbFSqwn1FRpEEdOtB1c/Jk9uGf/6RQeOwYeSkplSX1Sxs1MnS1Xj3288AB8ne1a9MKuG0b6e2+fbzu+HGOWfXqHJfVq81+aQW8Ugin4JRXd0sgq1XO76eQIMTCLSxKgpS4OJrbx483Vhxnm3FxdKeRPjz+OBn5ceOMkCfC5NKlPKdjR27kgHHrWr6cgoLzWcLD2eeMDLrvrF5NYWHRIgoRy5ZR+HzlFVrGVq8m01CxIgnRhAlkCgcO5EKpW5fnLFnCRfv222wrIYGM0po1FDw++IBuig0bcvMXa2TDhsANN5DJ2b2bi61xY7ZbrhzjP8T9cs0aMrwLFnBTuvtu9qlSJbonyXhUrcoFLMlhxo6lkLdhA+8hGZfCwyk8fvIJ+/L002SSX3yRGnhhALds4XNv386x6tuXYzxzJu/TsiXH5JdfqOVavZr3qVKF70DG6eBBlnc4eZKb7OjRJCqPPcYx8nh4/4YNSTgjI0m85s4lEdaaDKDE8uzaRcEuLs4kgRAUdeyE1nqK1rqJ1rqh1vrVwG8va60nBT4P0FpX11q3C/xdF/h9kda6tda6beD/J0X5HIUJv5/rpHNnzmkpezB8ODWZgwdT4dKwoREYOnfmvG3ZkkKaMG5791IIi42lYPDddzxfUlqLa7DUd0tOJrNw9KiJBZNC3FpnLQjbrp1hYJxxwk6EhAS35B09Grze08XCGaeUW61HccdMSyMDIElZhCmW8RLLaVgYn+PQIZ4nv1evzmORkbz2/HkyEmXL8q9pUx6Pjua1+/aRZkycSEG7YUOu86pVuVYbNybDce4cacSmTaSPhw9T2JKaVhs2mEx6ixaRbnXsyPt89BHf05EjRhko9UXDwij8b95sXM0PHeJckz1kyxbS1pgYMk5VqvB79eqkpytX0jrYsiX73q4dlVx+P9OMlylDOrR+Pa+NiqJVOT2dtK9xY87jmBgqEA8cYBuNGnFcbQzehZBwikqVTOmg8+c55pIlMSKC4yioWJHXdOxIRlksFBkZPL9KlQtr4SnFeQHw/YpQeLlxqbFOkiBJUubnF3lROkmogzPkQZRFISGkMeLS56Rzzgynbmu1eOgApLvnzhkeKzSU66d8ebOuQ0JIN3btIi8hdKlDB1ObbsMGzpvt27kG16wx5RUACnZly/K+TZuS9k+caDLnnjzJ49dcQyFRwlIkD0J0NIW6gwdpMIiIoHLy11/5fE2a8D1IpuA77uCzxMSwf++9Rxo2aRKfr25d3qd9e/KSjz5KOlG5Mp9PEod5veTL/vhH8nL161OJOXMm6dbatdwn//EPPmO7dqQ7Q4dybBct4ti2aEHDgexTIqz26sVzy5Y1+5eNwSulCKadzu48d4KEBQv43elq5TxPhDtxz1yyhFYcwAiB3bvTIjd7Nn9PTaUQMG0aBQwxt6emUpgYPZrWntRUbs5+P4WyN94g0RBLUGoqJ/Lixfzv9XIhNG/ORTFlCpnL3r1JrN59l4kEUlJoLQCobVm5EvjLX/h95kwSkfbtGb/z669cuHXqsC8//kgN8ebNfD4pUrlmDa9fvZrnTJtGAW7FCh4/fZpC0KpV/PzZZ2RWe/Sgy5nEu8TF8XuLFmxj/XoSiHLlSFD+9CcSv3LlON6tWhkXl88+o0V05Egu5uXLuQnedx8F7wceoPDt91OYCwkhYzJqFN0C5s3jWF19NQnitm0kVpJxatAgEp+FCw0zfegQCdRzz9HiuW0bBdRly/ieJLNmq1Yco9GjSbAPHSLTFR7Oe6xZQw36nj2mnpak/nUKde4YDIuiQ07eABkZXKOdO3OjHDmSFvJ58/jOa9Y0GuKMDFq2//Qnfp40iWth61ZuguLSPGAAhYXGjTnfa9bknK5enRtbSAhpQcOGFJLS00lbOnc2ljqp2RgezrWaG8SNM7tjRQFnXI1Y4oGsMTFSgw8wMXhA1sLnknL+7FmeK9aR+vU5PhIXd/w4xzYighb8mTO59rdv57tZuJAeB1WqsD9eL+nEunWk+ZUqUbGUnEyNddu2fIfbtzP+5MAB0m/JlFetGts6dIjWs2PHSI/j4owAd+IE94JbbuE8ePRR0sw2bThv+venYLB2Lem9CPzlylFYqFWL91++nMkWjh41Vo969TgGQmfFe+LMGV47fryJmcnMZD/37iUTaGPwLkRSEq0Np05RqE5NpeC2axffTefOJj5cKdL/lBTOHylNUa6cSTpRuzb/i3Ai1hevl0y910vBwPku3Bk73ZZ5QURE3hQ3cs9guFQvE7FgJSWZRGPZISeX4LAw7rvBIFl4z52jNSsqimv+3LmsgnP16oZ2RkYa2iFFwQGuhSpVaM06cYLvccMG8mBz5vC8unWN5T4piTRAKdKpJk3IK2hNRc6aNXz/okA+epTvtHJlrsm0NCrOu3QhDybu1cJDxsRwfS9ZwvtJZu/ly8m3JSSQxpw9S96mQwda/erU4TMkJjKPguwdmzaxv126sJ2//5205sUXKaz16EH+R6z5W7bwee65h/xYdDT7qBT7O38+2/7qKz7nZ5+RpowZQ77sxx/JC82bR960SRO+k82bef+9e0nfevTg73Pn8h0mJppazomJRjCUMgnBYmHzCyvglRBkx5yJ0Oa05AnxdMMt3ElGTIC/d+9OF5c5cy4kes2bc1G2bs1jTzzBTWDlSh4fMoSBplOnst0bbyRT4PGQgevWjfeYM8fE9k2ebCx/11xDDcjkyaYm3gcfkIBkZFBoSkzkuU2akJB262aKJK9bRy3y8OEmfe+4cWRWxLIZG0vim5TEftxwg4kVadCADERmJglkSAiJbUgIF6jWJDJPP02B8ZdfuMlJ3a0HH2QZBqmhdf31ZID/8AcKYFdeSUJWpgyZH6+XxLhuXba3bh2fpWFDk7XwvvsopKWkMIZJirFv2cJxleLMn39OgtO3L4lDRgbHYu1avotOndjG9debIsidOpGYnjhhGM3z50nMvvmGY3rttWzzqaf4LrUmA3jrrdy09+/nRrNyJdvNzDQuGYKL0WhaFDyCuXw7kzgNHsz1NHEi55/XSwFNYnEOHSJ9AKjpvP9+xiF8/DGZP6Enb7zBNZuYyPuFh3PO7NtHweLTTznX9+6lcBAVxXlVsyY/b93Kjd2tvcytUHJxhtPa50xWI8lLgsHjIYPmpNE+34Uuhhs2cPxatKAwJvU727blmkxKouJs0yaTfMDn4/gfPszxFqYzJIReBt260c0pPZ1runx5U0ZmzRp+/+IL0o5atUgnIiJ4j08/JVNz441kgM6f5zWtWpF+bt/OuTRlCp9t9WreXxRzTZvyWPnyxkX1zBlTrkbK7TRqxGNHjnDvqFHDxI0DRpgvV440VYoqx8ZybK69NniJHwuu/WbNuK5DQ7l3nT1L4bx6dSoFd+wgI681FYTnzpFu7N/PvVCULJLEKDKSa7hMGb6vypU5t3w+o9iQumiAWRcREexPhQpGkKtY0Qg1YlHMDiJsiQWysCGZqrOD2yXYKZylp3M9CrITag8fJn/j9MgaNMjEvUnh7dBQjlVMDN9PtWocyw4dyA9MnGiyAEdFmRjgqlV5rZSUqV2b9LtyZR7buZN8VaNGXMviVSCJTxo25HmpqbTMNmlCOrFuHc/r2JHr+Px5JlHq3JnzqUMH/q9UifNs1CjOmYce4jo/c4YK5aQk8iMffcQ5JDG4nTuTxpUpw/P37uUc/fJLfpasz2Fh/F2S+pUrR/6vWjWT4GXPHvK0V1zBvq5ZQ37qu+9I37780hgRhg3jfwk9at6c7YpwXbeuyUJ96610+zx2jPcTxVTdunye224z1xXEfLUCXglAsFpVzs9OoS2YlkpqW8XHm/NmzSLjlZFBzUP37lx8cXH8rV8/w9zNns3JHRpq/Jnfesu4FrZsyUl61120BI0dSyavYUMurA4d+JeRQSZv1ixuIMuXM9PeV1+ZcgrR0RQQ2rShlW7bNhKOYcPY1pQpZGoAanIPHqSpvEsXEoa33yaRHD2a96hZk8LMW2+RwFSpQktb9+6mxMB//8sFvGYNF//06bxPYiIZgsxM/v3+97xm+3YyMps2Ubjp3p0MzYQJJEJNm5JA3XUXBWLR4nTqRCKzdy/H5ppreD+vlwSralUKjl98QYK7YAG1QKtWcaxPnSJDNG0an9/r5RgOH85jS5awbydO8J0kJfHdL1lCIvbDDyapitScatuW4/bZZ2zv6FEKoHv2cNzXrCERzszkxtKlC7VMfj//ly3LTUu0iqdPZ9VgShp4i6JFMGu/lDcR92yZS4DZkMSCd+WVVMp8+SXnn9/PTVtcj0+coDvLvn2kM0ePcq15PBQYqlXj582bjZBy9iyVDGFhZBQkWxtQPGpeFTQiIrIqPI4cCR4bc+YMx6hmTa6lMmXIdNSqxXciFr4aNTimmZlU7CQlGfenChWohEtJYTt169Jte/lyMkItW/L3qlX57mJi6F50++2s49msGY+1bUsG/uGHSROrVKFwf//9vF9UFO8VF0fFkZRMaNiQjEqbNuxrSorJzilZWGvWNMkTVq3iOQcP8rfDh0290qlTSZNiYzk2kmnuoYfYxjff8HidOqSZFSuSVns8HLPPPqMSLSaGzOC5c6RtAwZYF81g8Hq5h4mb75w5RnHo8xlXM0kCNHMmx1qEre++YwhD+/a8PjKS++T585wPShkG3xmv7YTPZ1zYUlNN2+IuKgof8SxwK4Rq1+bvwbJ2OvcnZxwhkH3cU+vW2QtcbkjMrdwnp0RjbsWVs+i3WOLke7lyXN9S9uj8ebopAuSZzp83yqTWrbmO0tM5/seP81hqKt8XwPUmSpXbb6cCp3lzjqlY306d4rtNSyOPsmEDx3bAAI752bNcY9ddZ9w5d+7ke77pJs6btDTyNKKsr1mTPInUAY2MNCUU+vXjnNi+nXxZrVrkDaOiSMMqVuTnb7/leIwfb7xKJAPykCEUlN56izRh3Dgznxo1Iq/WoAHv26IFBb3ISHqMPfooebfPPuNzPP44ld7JyeTnbr+d41GvHu91110mVv3VV6mkHzmSvN2DD3LOdOpEBeq4cRTsnnySnmjiZfHAAxy/b7/lWHXsyPdTEN4FVsArJshPIfNZsyiESJ06ib/L6foBA7gJixAYF0etg8TLJSRw8ft81N5OmsQF4veTMWjThotv/nxe6/VSAPrlF5qov/2WZu+FC0ngnn+ei/ToUTITa9eS4EyeTE3FvfeaBAyNGtEqcNddPL9tW/blwAEyCkOHAt9/z3NXrWJ7Y8aQGFWqRE3PgQPUSDVvTkbx+ecp7K1fT2GsXTsyo9268b5r1nBBJiVx0Y0dS+Jx5AgJSJ8+JETr1vGZ1q1j3zdupBvn2rUUgpo2ZeycWLj27qXl8eOPuag3baKQumgRteBnzlAAzcggYdi3j99PnCAznZJCwrVjB5mcBQtIaAcPZoDyl1+SAN50E4lvzZp0PXjmGY5h3bokEEePkrhLUdOWLfnczz1HDdKQIexjfDz91J9+mkQsJoZaJamr16CBEaiFEHboQMK+Ywc3jooVeR/ZiJ1aSVtIuOjgpinBNozUVK6TGTOoqFi4kJ9TUsgIpKVRA7t5M9fvwYOcy6NGUQD44QfSjP/+l/UjT50yqfZXr2b7kybxnMhICiXO9M9paRfWZyqt8PtNeYdgCAszLmdnz5JuZGaaMhB33cWxEqEwJYXnKsVxlyQ1tWpxXCdONHWeQkPJqAuzvXUr163fTxpSpw5p06+/UpkWHc3vu3aZdipXppD3wQdk4o8f53kHD9Jb4ZNPTJ27unVJ1xMSTLxh5cpkUGvX5vGUFNKWyEjSoL17SVM7dSI9rFePAmnNmqQ98fGk92fOkDH74gte06MHaWbr1mR4GzXifterl6GZUk+rSxcKp7Vr85457Zu/VRw/zn29QQPup1WqcK2vWsX9s3x5U2KnWjW+v1GjKID7/bSmHDjAeZicTKY4LY3zas0avgtJ6LRpk6khKUJalSp8h1LP0VlaKC3NWPzq1KEQmpJyoULowAFTZNuNzEwjNLnLm4jbr5smbduW+1yR2C8RGuUewVzG5Rx3/UzpH8D10rUrx699e/OcmZlGeH3vPVNDVwqOHzjAdVuxYtYkVaGh5hlkjxb3+dRUKu6qV6dwVKOGcbXes8cklfrxR67hiAiT9O6660hPxN2yWzfSq++/5zo+fpzP27Qp73/kCN/lHXeQJu3YQT5o+3ZjpZUkTEOHsv/33st1GxPDtf+73/H5+vUzNUMTE/mMUvLhk0/Y9/79OXczMzlGa9eS9ztyhLzomjUcB6+Xc/nuu6mgOHuWtPWrr0jfBg0ijxUby99iY8k/PvQQBbouXehplZBA77YHH2S/QkPpPSV86vvv85xGjdifBx8kHbz2Wgqsgwez/8HqUeYXVsArBshLxkxnXJ5Y2dyJBpz/nXFQ8vvs2SYL5uzZZOT8fi6AXr3429ixnPySIej4ccZV/PgjmfjvvydBmDePBOy117hY33qLm3DnztyI9+7lAujQgVqR+HgyieXKceFERJAZqFaNQsFbb3FhJSdTgBo2jOeeP0/f6LQ0bvi//MJFcOedpkRDuXJkIvftI3MZGWnqpfj9JC5Vq/J5Fy8mYahRg9bM3bspzL30Es3nkZFG+KpTh4T0uefoYuT1cvw3bSIBbd6cxPW220h0mjcnE1azJvu9YQMFwpQU3vPpp01dufR0jodSJLZLlpBQnjzJMWjThgTrqqv426pVZKwlCPipp8h4SUzPJ59Q071oEQlltWpkvMqWJWH7+WeOxyOPUNhr1YobeFwcGb7y5UnomjShMBsaymMPP0yNU0iIKfI+bRqZKSmwmp5u0hqnp2e1UvxWM6MVNXKjKaL0iYykllJiIlJSuNbS0jjn5s7lhnPyJJl7gBaQ9eu5MW/aZJiaAwfoPiyufcnJRgN88iTni2QUc2L58qzfSyvT7aTZ2R13JrGoXt0ca9qUChm53uvlOktNNYWFtSa93baNNOLECdKWsmX5Xrxeo2mvWpXrOD2dbf7wA2PXjh2jcmj1at6/Z0++3zp1qPjp149M0zXXULACqECrWJH0uXZtMk5S/iUsjH8+H+n07t2cExUqGGXeffcZIaxMGfazWzfeSyle9/vfc1xefJH9qlyZTFavXuyzlM+Q5FvXXkslVny8ETIBzuEtW0iv+/e3MXjBEB3N8IXNm7mGJ0zgvIqNJZMrqfKbN+e8qFKF86dJE1Mjb+5crvlq1fhuo6Lo3RMVRdqRnEwLc0yMmQ/yLjp1YvsSKlGpkonLTEkhYxwdzf1e5jfAfsTEZLXQSZ23cuVMuIYT2ZVmkLAFsdpJ7GswKMW+Jydz3a5axd9zWusiWFapwuvr1TPfGzc2fVi6lF5OIqBERfGvQQNTcsTrNeVVMjM5PnXq8E9KzPTsaTKHS8mDsmU59mXLkp8RBd4nn5j43HPnyCv06UOBo0oV3mv4cAp/CxeSFhw8SBoVGmriZ1u14hiUL8/n3buX9ztyhALPH//I8R0wwCQVrF+fvGVMDPmP6dP57rZu5TyqX9/Qq7/8hcf27DF1Q597jvtS27a8f1gY+dKHH+Y7+ve/yf/88Y+m/t3q1eQxJ0wg/5SYyGc7eJC04r//5XOtW0crX+fOjEGvUYP0aO1a0hkJSXr/fZ4/cSJ5vs2baZTZsYN/UVF8Rx06mJIxzZrRgyI2lvf1eArGu8AKeMUAORUodxMJ+b52LQUyn4/WrKQkUyph+nRqEiTeQ9xixB1A4jqWL6cr44wZXFQdO1LQiIzkgmjThu6PYsZ+5hn2c+lSTkqAiyEzk4LXxx+T4A4YYLIudezIzVkpLiKpNXf8OBfMqVMkXn4/+/iHP5DAX3cdmcf0dC6G9HRql48cMYkB6tbl5u7xULC77TYSmTp1mCDlrruMhnvpUt7/hx+40VSoQAZH4jj27qXL54YNxkVKUtbu28fz6tUj4SlfnsRBEgxUr853kZxMYTgiwiQB6N6d1rb69fm8TzzBcf/xR/ZJNHJVqvD7jh18Xr+f7Z44wXGQFOndu1MzumIFhdLTp3ltq1ZkeiT+UGoHSgariAhTM+v0aZM6WZI4iEZs0iT+npZGy864cRyX9euNBuzsWVpsIyI4PpLYQeavs06Z2wXG4vIgGE1xu3iLRwDA9/3EE2Qmli/n+779dq6Ntm3NOrr1VioCkpJMMVsJrBfBRFJzb95srLoAP0ttOyD7+MyizrxaUKhRI+91ICUmSdzSJD09QFpXqRLpY716PPf4ca6zqCiOl9SWmjqVjEZ0NM+LjSUNkAyc7duTuSpTxli6xJ22SRPOiYoVeU+Jx92xg+u4bl2+044d6eUhMVM1a5IRlGQyLVqQVonbbZcuPCZWlerVee2iRbzf3Llsv2tXnrd0Kfs5fjxpXcWK3A9SU6kIfO89Puu77/LZJJnMBx+Q4ezbl+d+/TWZz++/5/W9epE+ly9PS9/HH5eeuVbQiI7mWh80iJmsa9Sg0uB//zOumRs3kj70709FZNOmfG/nz/O99u9P5UP58kYh+PDDnLteLz1iatTge6lalfMkMpJzo359vpsKFcgjRERQYPR4jFsmQLqVnMzfzp7lHI2MNPX1YmJMNt5Tp8z7FiuZUwEZGsq+NmxofqtVi4qC9PTsXTS15lpLT+cadbqLui107phbyR555IhpXzwcunShMJGZyTUVFcX+JiWZGFW/n9c98wzHoHZtrru0NNJaseaL22iFCmwvMtIkRxozhvevVYv8RZ06XEfJyaQ3ZcqQZzp9mmvM5+Pave02Kn8//JDjeuYM30FcHNvq2JHv9fx5U5NO+KUtW4yX1qxZRmnYoQNdFqdO5bEWLTgXWrakcrt9e/Jq7dubzOzXXss+3nMPFdmNGnHOAjRYLFvG533+eba9bRsFxi++IB24/372p2lT8pEZGXxPY8bQU6FLF/JSjz3GeZiWZvZI8YBbvZq0WxKU9epFIXjBAn4PD+f+2rQp+yxZqCUmUD7feCPbL6j6wVbAK0K4a9MFO+6OvZs712TJHDzYTKglS7g4vV4SVklfDnAyjR/PSdizJ61Y/frx93btOIEBEpAvv+TnZ5/lQq5fn8Jdjx68bs0aLvT4eFMbJTmZlrzKlUnAt2/nBrFlCxmBadNIXGfPNhocWZirV1N70agR+//UU9TMfvcdrXgbNnATyMykgNS6NQnpxo28d2YmCYpkLtq5k8zlsGEUWlq14nM1bszNplIlLqjTpynAJiWRkFSvToa4RQsSjwMHjLbv22/J2MTHmwxNZ89yIU6fTs13cjKJQrVqfBfPPssxOHmSrm4LF1IYfvxxEqi2bcl8eL1kTsqXJ9E8d46MVUgIrW2SPWvvXt4zPp5jFh1NIhASYpgvyRoXHk4iduONfOajR9m3cuXoTpCebnzQ9+/nc/zvf+xrhQpsMyWFG92ePbzPvn2mALLXy3GtXZv3LFeOBC0YxLpgcfnhFu5E0TNrlomxmz6dTG/v3mSCGzQwjMpf/kIGyVmAe/p0boDp6dxMz5+nskkYpvPnOV/ku8SRBIPU2iqtkCLrguyy/bVowbUlG32VKqR5Yp2vW9fU9UxK4ufwcL6/jAwKcVLqoFIlnu/3cw0fOUJGRGJvxT2ocWOeP2eOUfgkJXHNnz9P+hcdbZIiLFpEOrJ5M+fGwYNMuiGa/xYt2N+bbzYFh71e9k8UarVq8beZM0nHJRHB1q1UAu7ZQ1py7hz3mtq1jTt75cpkPI8f5x7VoQP3pRMnyDiGh1MwjI4mo7Rihalh6vWyvf79Oa7PPMPznJmmLbIiM5N7TkQE+YMBA2jJkGysL71EZrlGDSoFmzWjotbr5X7boQPnWlqayYoN8JzoaOMdJG6YWnPO1KxJoUIY3OrVOR/r1OEeHxZGPiAlhb8pxfaaNuU+uno19ySxHqekcD8PDzfhKTKvK1XiPgxwPWRmcq7t2GGsfn4/+ahq1fg9LIzWLHesnmSejI3NqtRs3pz7cL16vK+k3Ae459eoYYS0mBi2IXFza9ZQkPB6ye8kJVGQkfjH8HDyZ6dOUZA4e5b0u2FDrovmzakAr1ePtF9ia7t25dg1a8b+igBfrRrvvWcPLeh16/LeffqQx6xbl3xE9eosURIfT4X5Sy/RhbJTJ9Kmli15rnghvP02eTvJ4B0RQboxbhzHuWpVtitGg8OHTWbNhQvJs3z1FY9LZsrz59lu1aomL8L27Wz3hhvIy23axPe9dq1x7d26lePdti2fYdUq8qcdO9IdVFwkMzI4f0eM4PhK1vVHH6WhAaDAl5jI8WnXzgj2Awcay9zAgfxt9WqO5ahR5A/79GG/Bw7k+rr6airewsOpkMoun0Z+YQW8IkJe3TKdWnj5DnCTFni9nMAJCaa98HBO0tRUEomRIyl0REWR4ALUPqSl8feTJ2nJmz2bbixVqzI7Y/PmbL9GDbpFak2CvnAhtSyffELC2KEDJ/i8eeyHEF+pZ9WlCwWlunW5wZ4+TWGsfXuTzGPePKN927qVQt6ZMyQkBw9y49+7lxtD9+5cnNu2UYOUlsbzKlQgIfV6qeHdsYPPFBHB9iIjSUzbtSNBuO8+3ispiQt982YusEOHyGC0b2+y0vl8vO/q1Vz0wkhpzc2ie3f2bcAAE99y+rQpQiq1q5TieM6eTaZp504ef/ppnnvkCPv773+bd+/1UggOCeEm26wZNVYtW3IM5s7lPa+/nn2QIqEVK5I5OnbMuHndfz8ZsWbN+O7On+fzhoQYt4Rjx7hJCGEU94uICI7h2bPUkB87xjklWji35skZb2VRuAiWIdOJ3r3J6MbFGbeYrl3JOC1aRJqRnk5GedkyztG6dXmtuAutW2c8AbTmPJN3Llr1giomXtoglkx3GvWNGzmm4uqcnGyy8/r9pFNSeiU0lOs6LIzjLm7Sfj8ZM4B0fP9+0sGYGFq0br6ZNF207BJTVaUK13dYGOeFz8f1L8mi6tQhvYuNNS6dixbxPt98wznk93O+dOpEOlC+PNvcuNEkuVq0iDS+fn1ahsWVe9gwMsDp6VQwREWRPrVty/3nzTfpAtq3r4n37tGDyrFbb6WWff9+M5ZiOQL4/HFxnPO9e2ctGySKUovgyMwksywhBN27c+/49lsqHqtW5XwbMIDfhw4l03rLLdzfd+/mPBVhpVo1k7RNijyXLcu5XrEi513FimSuvV7yI3XqUGAZOtTEZ3o8/E3iwKtW5XpKTOQc69yZ57RoQWFq717O87Q0I7A1acJ9/cwZrrP69bmHSpKOkBBTbxfgXD561LgoSi1QSaYmSlqlSC8rVOCeGxXFe//0E/mAzEyuidRU0lafj/dNTTXK7REj+Hyffsr2o6P5jJUrs5833mjc4f1+7tG1a3ONejxUNp85w7bF4n/6NJ9NkhOtX881c/y4Scq2eTP5gUWLeM2qVbTQnTzJ8Tp4kM92330cx8GDySc1asR50bo1f+/Rg/Tjhx/Yp9//nm6My5ZxLLt1Y7t//zt5jnff5b2lHt20aXzu3r35DurX57jcdhv7dNdd5L3atOF8GjOG/T5xgmN39dV8N+PHk2YB5H1XraIFLS2Nc/OXX8xcj4mhZXLqVNKFWbPIkz35JK188+axrVGjzPzp3t0UhF+4kGukfXsqr95+m//FNX38eN53zhzOnZQUXhMXx7kjguGOHXym7t3JnzrL61wsLIkrIuTklikIxqQ53arENUfc8eLi+Ht8PBm3pUspbHXrxgkVGkpCtGABN8o33iCBEV/nnj2ppZPsZ5IQQNwaHnuMQoVovSQt7KFDFCwk8+TJk2RURNsrLkf16nHTGDWKC/L0aeOLLhqxOnW4uJo1owZGNEaRkVzYp09zU/D72f5jj5GgVK5sMkJt2GDG5uxZk1igYkUyH7t2cUGHhXHDuvFGClsVKvCcli1JkM6coXB88iQXaP36JKznznHj2rHDMLuHDlEzM2wYidRPP/GZIyPZbnIyCaoEjEuMY2QkN66HHuJ7Cw2lBmr5ct7r/HkK2RK70KMHifKCBcYSOWAAiZDWvNcNN5D52rqV79LnIyH5/HNuUrNmcR4dPMhrDhygAB4fT2LXtSs/nzpFQrNjh4lpLFfO1NSRFPfnz3NcPR7OwyNHzHyNicllIVgUCERhJAog+exMzNStW9Z6mElJdCMJC+P67duXVo+oKFMb6YsvqBGWEiKHD3NeyLwvU8bEplhhPm8IltnPKRSnpJhYYOf5SUkme2b16qTvkomyUye+p5Yt+e7LlCGNOHmS61aENCk4v2ULadLBg7yXz8f2xJqSmUla3qkTj504Qdpy002mSHnDhqR7lSpxv5CY5xo1yJD98APbWrqUNOOBB0hX4+J4bmwsaXaFChQSli2jG9Xy5bz3a6/RxUrcTyWV++DBZt+MjqZA4a4dK0yTxPY499m87L2/ZYgLmcfD9/LRR/y9Zk3uyVL2IjSUymGvl/tFgwYUYLZs4Z6QksL5M2IE+Ybdu6kQ/vvfySTfcQeZ2WHDeH5ICAWzw4dpvUlP55559izbWbeOXj+SDXbOHFqP9u3jfJ0/n381a9KC262bsRBmZNCNNCWFfIoUuo+K4n7VtStpnGTt9PlM+ELz5vz78Uf2sXx5Y4UUwVQSyxw+zDZlne7dy7FLSuL9qlYlva1cmeeKAFy/Pvfs667j7/fdx/UlteVWrzbJlrp1M+7cJ07wf7Vq5CmmTTOp/nft4n+pvRsTQ0GnUSMKqiEhbLtmTbZ//Dh5ulatuI9LyYbJk8lTpKVR6dypE61iDRvy/+bNXE9JSeQXjh2jpWvlSj7zPfewPalhLDWA09I45p99xjkWGcn779rF+RcXZzzFrriCiU66d+fY3Hgjx7BLF9KRRx/l+/rPf8jbPf885+oTTzCnBMDnfvJJ8nppaRRMGzQgj/nww6Q/q1bRmiuhPzVqkAbNnUsatmwZ6dizz/Jamf8An2vuXAq7V17JPk+cSAHT6+W8Wrgw6zoDTPKbxx83/LpSBeNdoHQJU7d26tRJJ0pBtFIMv59CV2go3d9kE5aaRT4fJ94TT5C5l4BxSYO7fj2FH6+XmonQUAoHTz7JybdhA5mBPn3I+N98Mye5FNKUQo1PPsmFvm0bicGePSQuW7ZwY5cCu6NGUZuyciW1XZUqkfA2bWoYiauuIuHdv5+EqXt39lOIU/nyJHS7dxuiOWgQiUj58iR8lSvzmbZt4yJIT+cCTUkhQRBXhcqVjbAxeDAJiTxTpUq81u8nAaxWzZjQT53iBhIbawSe1q2phSlfnvepXZtjfeut1EApRe3NuXO8T1gY2zxxghvGoEHUjLVpw01KhNvQUEOoMzLItJ05Q+K2b5+pwde0KdtMTWX/Tp3ihlilCp+1SxdTaL58eY51WBjHsE0bHmvYkAL2jh0kxD6fcec8fZpj2LAh+1SnDjfx7t2p6SpThuc3aEDCWKsWx1HSVUsh9GBwuuvlBKXUCq11p0teOEWMy0WfJIbOCalfJ8cBI+D98guVDq++SgZk9Gien5BAV+ZDhzg/XnmFc7dTJ25m69dzXuzcSbpw8CDbbdIka80mi5wRFWWyogmDJ4oQKS8iSpKTJ3lO165kZOvUIU2UWLwKFbiOo6PJtGRkcD1WrmwSUmzdys9JSaQrUVEmDrhyZZ4vCVEkRiYqivQmPJxzoVcvWhIqVyadkUQpN95Ipm34cPa5e3fSmbQ0uvtKwgNRCLVuzTnUqRPn4Lvvkk6HhholYUICr3cqKv1+o8CcNcvEducFwdbHpaA00Ke80ia/n0JQnz5kSEU5vGMH6cPQoRTEbr6Znz0eCgeDB/N9rlxJ4S00lMe9XjLFL75Iq8+2bZxbixZxTlaqxN+rVuV+cfXVnHebNxtLnez1587xfPF0ufFGKgIaNOCcT06mp9GePfz7/e+ZPOPsWd7L4zGxwzffTJ4lOpr07OhRnielPho04PrbupUuiCdPmkLgfj+Fvvr1SVtDQsiY+/20GNeqxXaGDSPtXLOG+/HWrXyG228nfT18mM9y333k0zZsYB+GDDEJiSTGfvt28kI33kjhpVMn3nfBAh6T4t4nT3JsGzQg7Vi6lGuxdWuua63Z9vbtdH3cvJl05I47+F+ykPfuTWFIShxs3kx68sgjfM9z5hh32Qcf5H127uSzf/CB4Ukl0c2+feQBf/mFfJVY1tu1o7v/H/5AIefuuzlWoaGkJVJnt379rPUUV6zgtQDPi4ykYeCrr0ibhB+eMIFjLgrOd97hGDz6qBHAVq1iX2QPnTqV7pOLF5O+zZzJc9q0MfxQmTJ8Htlr//lP9qNzZ/4OGENDairnmgh7gKFPYkARIdDno4Lsu+/yZsXLiTZZHVYxhEwYsbiNH88F9PzzwOuvm8xJrVvzvFWrqH2fMYOERDROCxdy0f/4I4mm38+FFRlJgnLTTby2fXsycuXKcdKeOUMi2b8/3TG3bjXWp1atuLhXrSIB6dOHi2TZMi7ghg3JEKSkkNhu3kwi36EDiZG4C3g8XLTly3NCt2hhCKdMcknLK9mElKKGECBzIqUAROM8cyYFlUqVyLRIXIuY/Q8cMPV6oqOpuVq8mMKq328SHCxaxGc5eJDEbv58MlVlyxqXlbNnSfwzMkhkJPPR6dM8d/9+/k9KIvHy+0n8KlRgn1u35gYUHs5jp06xr6Ghxt9btNx79rDP6ekU0n0+bm6NGvHdrFrF9yLBxJKRTGIbJcuUpEevUIFa+OHD+b4lu9+JExwzcYeKjOT76duXG74kUli3js8vY1mjRvYCXgnTH5UIOK11zrp2Ug9T3Obi4w1TfOWVXJN3382/8+c5j06eZNKKcuV43blznKcyx8qVIyNQuXLWmoZWuMsfRLirU4d0yGnl9ngYA5KYSGavcWPSEY/HxJcAJiOeZBL0eExSqPPnuU537SItatCAWuiwMBOP98MPXM+iHKtViwyfCHYpKXzPTZvy+A8/kJmMiCANHDKEzxEdzfObNOG+UrEiGc+MDOPKHRtLet+mDa0uzvTsUVH8zfn8AwZk/e6EHM+PwGatcxcPv98kkBB3144duVdGRRlBITzc1NLt0oUK4+efJ+O/aROvW7qUvx89Su+g8HDuYR98QK+VXbsYU/noo9xrv/+ec6pLF+5TUndNeAbJFFmzJufy5MnkLVq0oBCSmcl7+f1sc9Ikrqd9+zhPRdDLyKDCukULrrGkJNK9+vW5z0uNtDlzSAPr1aNAISUCJCPk2bM85vdzTS5axOtE2TplCtdjv34mO/j48dx7R46kkv6bb6j0iI7meK9bZxTpAwdSgb9gAWlymzYmtlcE5/R00pRbb6Xg1rMnzxk9mrR+82a+t3r1eE1yMgXflBSO/e7dHIuWLSmkf/opeYrPP+e7rlqV9OSbb8jLSYxrZCQNDL/+SoEkKorvbc4cjkXbthSUGjTgmHTsaDI3t2jBuSB1Mv1+Cki33mpCd0JDyV8CFLImTOC5EREUBPv143Vjx/L3p54iT3bvvfSmysjgeLZoQb7xiivIE4tQKFnRIyN5zO83Ap9TuJs3j3156inSwZ492X5cHN/z+PG8RjzbBg0y+y9gwiFGjjQGGmdejdmzaWAYMcK0O2KEOfdSYC14hYy8aBKd5ziZN2HaJHnK8eNkxpQi8Vq9mpqwadMYkxAfz8nrTAs9aRIn65YtZMoiIqiF27iRDMC0aVyMNWowQ1nZshQmly2jkHLqFDfrlBQyg9u2keB26UKGBCCBrFiRC8Lv5yZ/8iQFBhGkDh0ioTx1igLYrl3UqOzcabIXnThBgtmjR1ZTdliYyfAp9YykNhtARqJaNTJPa9fyGcuVyyp0lCnDZ6hQwcSvSH2WM2c4/l4viaigShUS/pAQElFJACAxRz168PPq1STGkozi7Fk+Y506HGNJOJCWRm16UhL78uSTJkHFli1G216zJt+PBD1LunMpAOr1kqCXL897iE9+9epkHMV1RFIp+/3mXWVmchM7d46bQIUKJKbz5/M3Zxa9GjVI/Bs1ImN56hTvIRvN1KlG+yTj64akSM4NpUFDDhStBc/nM1rRGTO4KQ0ebLSSx49zE929m3Ngzhwy2p98wnn2wAPcLIUJmz+f98kpUYoFUaNGzgmFqlYlLRAlEmCseuIqJslEkpJMPKQIguHhXJeNGpFmADxX3MfT0vg9JIT0ok4dnp+UxPcuih9JDiXrPCSEfRNF2eHDFOoOHCBj2r27SbAkMU833UR6JRa3Z5/Nun8BRnu+ZIkRztyWuGCKiuKK0kCf8kObhGaIwlVincqU4V68YgUVCn4/LSJKkclv1IieR127Utjp0oWZuEeOZBvdujF2W4StLl04n557jve94QbyDJ9+SuFi5UrG9SUkkA+RBD99+zJTdufOnNvHjnG/bNiQc65ZMxP3Vrs25/mmTZzL999P4aVJEwo7CxdSSFy3jv2rX9/s6bt3m5h5n4/tNGhgskaePk0h6sMPeY7kG5g5k+dK7ctatdj/Jk3YpsdDfkzi+BMTTQZsgDzR7t2k1/ffz7T+mzaxr4MGcWyUIv9WqxbPHTCA1qu2bSmUfP01+cRXXiEf+PjjfDd/+AOFij17+Ew9e1Kp3LEj+/XYY3TZ79iRAnujRjQYiJVsyxYKqosXk0/cvp3HpE7u2rUch7ZtqSho0oT70dChnD9SGuW++0g/Nm5kP1NTaeW95hqeKwlupGyB0JsePag4EFf2Tp34Xfa6sWONsNSpE6/v1Yvzefp0zh0R2rp1M4KUWKKXLuV3UW7IXtq3L+d6hw7m2IIFZg5On26uE2Wrk64J7QNI95zHxZtGhFIg7y6aOdEmK+AVApwpyHPbwIKdI0yzc9OcOpUv/4cfuMkeP05r3vLlNOWKZe+dd0gItOaCmzKFTNz69VzQcXHU2nTpwsn/449sb84cTvbjx019oowMCl5Hjxq3v7AwU+BWXHCkdltmpmFenMkA0tJMcU6x7AmcCQfElc/rNYxQRgatjqLRCgnhMUkc4oRkvpIskBUrsq9OhISYWlx79vBe588HtzRJWYHy5bkZicuAE5Uq8TlF4IqJMbXBwsNNFsxatch4SbyapMc9dswUFc3I4HlHjlCQOnWK46w150CrVtw0Jb38vn0kvjt3cs5Ur87nDg2li8C+fSTCzZtToE5O5j07d+aGsH8/N8QdO8y77dOHBK51axKgf/yD82fyZPZNNrnQUD6b32+SR8gzOVOPV6rE+ZEbSgMDBRQdfRLmWbKZvvMONeSAKW8ycybf9eHDwN/+xvnx4Ye8tnNnztszZ8jgyCZnkTcIjQiGOnVM8V3AuOIAXDN33kk3KMCkgQ8Jocb98GHSDSl+nppKen3ypCl2LOuwbFnG8CxZQprdoAHXq9Agj4c0YutW9veGG9j2P/7BPi1ZQlotJQnGjuU+EBpqFI6LFlFzLvvbvHlZY+IEsq85k5vI7+7srsVduANKB33KL21yvsMZM0zR5vBw0hlhSKUE05gxtMBt2MDfMzJ47rFjVD737s0YqehozrHevSn8icW6QwcKLI0b0wVY4s7mzKFwdNddVD4DFAiOHzexqFKyY/RoCjJr15K/GTCAx59/nlazNm24r/bpw33zzBnO4bvvZnzZkCGcj7GxnLcTJ1JYTEykwvfNNxm3L2ssOZn3GTSIgsrkyVR4fP01BdNZs7if33EH7zdrFvtx6BB/nzmTwu+VV1KIW7GCwsy111K4nT6dAtIHHwAvv0wr0q5d7I+4Q4aE0Pr22WfctytW5BhWrsx3Ex5Oi1xEBAXHr77iODzyCBO7NW1q3BVbtuR7WbCAvMRrrzF05+OPuc67deO7FsFt6lTSt5AQU4Zl4EDOnSVLTP6HtDT+PnMm+5OSwrGeMyerm7a4PjqFJMkhIOfKeZMnUwBesSJriNKcOeR/kpL43t96iwo0CXsaPNiUCnK6hnfrRgOKWBf79+e8FaHLmf8CMMaXxYtN7Dtg+iF0Xp7D6VGTmprVwidtuy1/eaGNVsC7jHALbE5NmFNgc744pw+u+L+vWEENSo8e3FS//JJalbZtSSDKlaO1Tgpir1xJDXyXLiYWrmtXk25V0lhv2UJCFBbGbD/ffWcWTHKycbkMC+P5lStTwJCU2wCJSrlyZBbr1KHmbPlyLszoaDINshkkJ5v4jkOHjDXAKSjVqsVj7qkYHm6SOQSDuB85rxPhL1iB7bJlzbMEg8Q5AlktUk6GzH3/iAgKSQcPciPLrs8NG5LgS6H17dtJoD0ec08hkrGxPCa1d6RO3n33kSEfMIAbaf36HN/KlbnZ9OzJGJeoKGoGRdPfqxcZzD17+E7KlOG4RUXxmUXwTE42rr/bt1Pjf+QIN4sDByhg7trF/h8+zM3Xad2pUoWMp/N9eL15S75RGhgooGgFPNEgCtM1aRLfRVQU3XTatOH3xERmW7vjDr5LSeAjCTKUKv0lDAoDFSsaDbwToigSxMRQuVK+PNfYuXNcJ0ePZlWEOYssiyeEFIs/e9bEEokHRIUKpEFPP00mJy2N+8hzz5HJqluXDNi6ddTSR0eToV6/3pTeEU8GgDTPnbxEGBZnAp+clJclQXjLC0oDfboY2iTvUBjSuLis71SyBI4aRYHrf/+jsDB3Lo9L9s077+S8l9ptH39MPuaJJygQ3Xsv966PP+Z8FqWluPn27MlEHBs2cN9r3JiC1vvvU/A5dYr718MPU2m9bx/5n7VrKSxu2ECB4LrryEOtXEn+Zds2w3889BD5ms8+owL0uedoJaxalWvrvvvo1XD+PAW6mTO55y1eTGFlzx72+Y47uH63baNw+OOPZl/3+7l3PvYYhY9z57h24+Op5ImJofvn7t0mru/772mRSkmhMPraa7xnSgoFt8RE8oe//sp1P2SIsUplZJjyUnFx/H3yZB4bMMDwqpGRpublI4+QB2zcmH2/4Qa2I2n9Z87k/Ro2JA/qVPAkJJjkKHFxhqeVuTR6tMkNAVD4GjEiazISSeDm83E8n32WxoqNG/lO5F6S1GTDBs6/efNMXN6gQca6JnFsskf27Wuy0Iuiolcv45LpjJFzCnSi7BABzPl8bn5ehDq3Jc+t3HL/ltPv2cEKeJcZbgueU8oXU6xzckyfzoU6fDgX2tSpJECtWjEW6p//pI+2WK/S00k8Gjcm8QsNNfWt9u7ln8Side5sMjkdPcpFeuiQSaG/YAGJlMdDhkCsLV4vrVxJSWRahHmRTI3OeJxgEFdESQYSTOC6VDgFsmCQNMxOOF2k8oqICGOlCobGjUmQIyNNKmUhToJmzSgkSRyioEYNUw8oOtoUiZYUuyEhFNoPHzbul9deS+ZdUuyKpq5MGZMyvEEDWvfmzWPf27Thez95khuWFE1t2tTEIErcj1Ikkhs2cMM7fZptJyeb+EWpy5Wd8Oscb5tkpeAQbDNxMuQAN/CUFP4fMIDWPHHVLV+eGu3UVP6Jm2Aw67RF/uCkc+Ky6fWSfoiVDSBdFvopcchpaaZuXLlyZh2XLUvBTqwc7dtzX5gxw3hMtGxpYom6deP6FI+PTp0MY/3ee2a/uOqqrFpjwJQPyEt259IiuOUVpYE+XQptEmHfydcIs5uWRoZaPvfrR0tXRgbPb9yYioRx44yVGOA1P/9Mi3JsLPe1WbOocBg5knN8yxbO7a1bKVCI9edf/yJPtHs3r/3b3ygEXHcdhZKffmJ7mzfT6venP3FNffUVn+XBB01c2PbtbPPgQeOKN348ld8LFlBAWrWKQujmzVxbgwezL2FhdFeMiuKe/PPPdHFeu5bK0DfeoNvh3/7G33r0oIA2YwaFpLVrabncutXUIB48mPzdXXeRD9ywget+82b2Yf16ozRNTOT6HzSInhpxcbxvu3bGgpqRYTJWPvEEhcDly3l927bG7fb55ynQbt5sXBp9PiqHRCiSuLPXX+e77dDBFOkeMMDQBvEmcQpLqakm4Z9YzLxew0NIGMGzz1IQdIYjiQVO5iDAvo0ZQ75Zjs+ezb5KYhM3nZLEhaKoyM4IIwhmmAkmgLl5frd7ZnZ0tSBoqRXwLhOCvXinNO/302rWogUnoAh5krp+8mT6H4v1q1s3ErHOnUlsJHvjtddSyxITQxeDypXZXsWKbKdOHbaxZYsRgjIzjauPbOpS56VdOwofBw7wOolLc0LuIcJibshOm12YCNbvi4FY4cSKmRfkdK4IiE7i4GSo69UjAyhZN0Vbv2cPn8nnIxMo2UOd11aqxO9OhvGhh6hl27KFBHjFCmr1Zszgu167Nms/QkP5vBERfG9nzvBZ5B4RESYQ2g1xi81O0A4Pz1k4Nu2UfAYKKFz6FMw7wJmZS1I0jxrF9zVwIN//HXfQ4tO1K5kDSdohqFaNyh+L/KFu3ezpoVP5VKGCWaOVK5MuSqa1f/6Ta717d76XqlV57v79ZFpatqSCp08fxuwePUrGSZITTJnCOSBaaqelzekSJL8F0yQ78VsU3vKC0kCf8kObnPNA6IxYeN1McXaMsZPpffNNumMCnJfOmKiePUm71q9nOEFoKNfD888z6+/69dy3PvyQzH5iIpUc69dzjf38M10cb7yR93rtNVraevUi37N/P4U/sUJNnEjF5pQpFL4qVzZ7YHg46ev337OfdeuyjdRU7s8vv0xl/a5ddAV1Wqh+/ZXXTZhgXPtuuon8nZQgkbCHGTO4nufMYTbP7t1JM44fZ3zguXMUhkNCjGUvNZUKW4mB7NqV/KEU2e7ShTFx4vIoWdYBKvkeeYS8RWoqeU3hI0JDOZbiOSSJkQQSOybGCZ+PQucTT5gst/KexbqfmkrrXPv2bEMUAOIy2qMH36+UQZF5Nnq0Sd40Zw5/dyqjnHFs06dzTEVgFAHT6RIpPIwIoIJgOS/cHgl5jREO1gaQfbvZXXexsALeZYDTp1YEN+cx0WqI5kUy+vTsabJkit+yCHP79tFq88EHJFhSgPHIEU76PXvILJw+Tc3L6NE8LsGnycnc+A8fpkVn2zYjvLhfuzsuRBa+W6ufm8WmpCA3619eEB19YYzfxbbvbqt6db6/yEgTIygWNMAQjYgIk9WzcmUKXJIhUQqrO11GndbI2FgyjBUqcBNr1ozzTCAFiz0eM28l1mjwYBLY3CyiNgavYOFmvHw+MjwDBnCdv/8+Nc6nT9Nie+4chXbJagcUnkW9NME5r5100E0TIyJ4btmyxhKans7fpH4gQKXe7t1kYMuXJ53+9VcyXbfcwkQ3gwaR6XEKYU6N9ZQpZIwiI7POgeyyrVlhreBQGuhTfsokOGtqikAnFl5xPZPjs2bxvzuBhNOV1xmTBGRlwuPiaHmRxCwZGUbgqFzZWI9SUiigORNneDzGKuQUIgBTNmn5csaujRvH//JM333H+155Ja9dutQk4Fi6lILOgAF8vrVrmezkr3+l8CHP6vFQ6JRMmosXm1psStGlcN489l2yY2/bRuXbrl0UNMPDuf4//ZSu8y+9xOdbscIo3EW4ltjp667jdQBpwvvvk7Zs2kTBUSxYMuYzZhghSOJrH3iALrFSwHvhQjPGMg4SeybvtXNnWtZGjDBWs1mzzFhLzG1qKpVXI0dSMH/qKZ4rQt9VV11IuyQ8CTDlUpz0zy3giZVQ+uksEeR2r5R3ld18zy5nRl5paG7Wv/xcl19YAa8AEcxk67bSSSY7pwtmz54m3uq994wGqm1bEqDt23n8yiu5uA8epDZ3714y1KdOsXbKRx+RkbjySi5acWUQbY+4w4WH87v0ITKSDGDZsibNtUXekVMSBXEFdY5/btY/d3IXyYCZHSSDpxNu4apqVW4IUVFkIIOdF4zwAdw0V65k/1u2NLXyxD03LIx9FtexmjU5n3JzwcyphELWZyn5DBRw+QQ82UDT08kYNWlCRiMsjJbbffu45tPTOR+khqJF3iFr3r1mJDFRpUr8vVw5MoMnTnCuSxr5qCiu6/nzqcnv3p20V/aB6GhT2zQpyQhu+XXnsYJc4aM00Kf8WvCA7BleNx/k91/IYLvrcvr9xhIIZLUAzp5t7i3ZOceNo3VKaooBbHPcONK78HAKZoCxVkuSim7dyFd17szzH32UFqebb6Z1Sp5BXAJjY3nuoEGmILUIN7/8YgRIOZaSQl7siy+M1UwEkPBwEwt25ZWmlARAS7wIwO++y98ee4zXipL3449JT5zJjCQ+TJJnRUUZS+jixey7JDVxZ66VMCERlkRQW7iQ/ZJ4NSkJIMKd5IGQGDvne3W66zqFLsD87kxo4uSFncKYc7656Wx2sWlu5KdGZm60siTSUivgFRDcmi1nfJ0sIOeik8KJo0eTIahfn1qbtDRqbs6fpzYjPp6aq3r12O7GjbSmrF1rMpht2MAA+mPHyGCcPs3PkmTExtCUbuQkYAJ0JTl4MDgRbNCAAl9UFOdecrIRKCWhQ716nKtHjnCT2LbNWHncSSIiIoJbgYMJobVq0fU3N5QGBgooXPqUmmpiDGSz/PZbuj7dfz9pytatFLyty2X+IUqZcuVIyyMiOMfLl6d2vF070uabbyYDtmgRrXBNmhjLmzC18+dzXYWHcx8QK2te3H/yw2QUlJuPRc4oDfTpYpOsAPlzUXP/BmQt/eS0BAJZE1E43fzcMVeCpCSur1WrqJgUQcwZU+psUxJrvP46XdavvDJrmz4f2+vXj4LNmjXG/VIU8s4aZTIeSUlc12JpcsZeiRDkdOGUcZk9m/xar178Pn486U7HjoaPGzQoq3As9/T5aM10ClRyTM5zCzziXZaRQYFLIBYwcbOU3+R5nPd1x5s5363z/jm5O16Kq6I77hPIKsTmVbgLltn3YlCcBEEr4BUgnBPV56OWqHt3k25VYl98Pmp2pJ5bq1bc8MWtsmZNBgpXrcpzmjYlUxYWxt8qVuT19eqRcRcXufBwWkUAa4X7rUFifmT+lS3L+Xb+fM4ZRyWRhmRkFYhwFx1trAh+P9uRulhOiNU5P6hTJ2/ztDQwUEDh0Sdxs1m6lAL3tm2kO6NH8/2lp1P4sLgQZctynmtNhYNkeu3Zk5rskycZ79GgATXoDz3E9TRtGpm+2bMZ3yPlA8Qi+vbbHPenn87qNgmQ/r/9NhUjL7wQnFEtKCahODEbpRWlgT5drIB3sYl3cmLwcwppyWk+uy1SQFZhzi14OCHuf6Gh5jcRtERocgpjUoD64Ye55oO5D4pFyulWLVYtp0DltqZJkW2/P+fYWKfAK3DXU3ML1gJnW84sqM6kXE43WvdvYg0Fgr8jub87oUheBbhg8yPYZ7EAOuM+g90nLwj2zPlFcVOqWQHvEuEmOH4/g2k3bqS/s2hzFi4kQQA4ia6/3gTIRkdzsYweTYKRnJy9ydnCwo1g1rGyZclgihVXIKUQfD6TYdMt/LndO2WzqVaNAoTWF7qMSuIct0XPCbelsXFjWpVyQ2lgoIBLo0/ZMUl+P4W7tDRqrX//e2ZuS06moOfOFPtbgcfDeaq1mZseDxkwn48WuCZNSH8zM01B3z/9if/796fColMn0u+PPqKGX4rszplDl6p33jGJDNasoUuVuH8JoxbMTchZ/uZSYYW4okVxok9KqdEArgWQBmAHgPu01km5XXextKkgFRHBklHk17XO5zNZyZ3CotuqJbGBIpzI/dwChFtAdKa39/uzui0C/CweWuJaKkk83FYz8eaSvooFTgRE6aPzPOm75EEQq6FT0AsmDInw4q7Nlt24ua93jjVwoZU1mEDjtA46xyAYz5ydFTAn6+D06eSpn3jCCOGXOhcvdT5fioBZGLACXj7g1jS5J5ykF7/lFga//u53DNbdts3UOYmLY5BtcjLd3SRlbm513SwsgkEEqrzMH6VIaIMpD8T9Q4q9SwkEZzZAuUcwIU6yVbnr2uUk8LVrR6EkNxQnBupScClMVDBtrCRmSkyk9ek//6Fgv2kTLU95yVBaWlCnDudflSqMBa1dm54PP//M+XfVVab4cs2aFOyuu44MSO3adIf/9VcG+n/wAc8bNoxZ61JSyPx88w219U5XHmdSKUlWEIwhKwjmIxiKm8b4t4jiRJ+UUoMAzNFa+5VSrwOA1vr53K4rau8n4OKY62DuniKQuePA3BYv5/dgboTuPrktYBJi06HDha6gTiFVrExOOHMzCB2JjzfZOkUgdQqZbrdMQW6uhU7roAif2bnC5lXhlJ1VLdh5guzGOLf2c7qvfM+Jxl4uBVhxpMVWwHMhOwnc6aM7Ywb9oP1+anejo1nEc9o0TrJly6jRueMOZj8aNIgTUKwepSHTpMXlhbM+1qVArH25JXoJJjBWrcrYToAbgWTlzMykNbBaNSYEyqv1uWNHCie5oTgxUJeCgrDgyaYGcKynTmWNpNWr81/DsSQiPJzPX7s24zdjYqhcaNCASUw6dSKd7tiRXhJffcUY0+uu4/i0aEGF2ogRHLNWrUij27Ujo7ZpE4W9d99luxJvI+6XwIVMRnYxJ3lhgAoC1oJXtCiu9EkpdQOAm7XWd+R2bnEQ8LJDbvM7mBCWXWp6txDjbtuZ/CXYfbLLIJqdYOHuS7B+O3nLYO6Y+Xn+3M5xW/Wyc7MsTBQGvcpJILycQldxo8VFJuAppYYAGAsgFMDHWut/uo5HAPgXgI4ATgD4ndZ6d05t5pdIJSVl9TkWd6fQUGpkJD5J6tGJT/Szz9KlJz6eFogbbgD+/W8yvEpdeop9CwtBXmoG5lRsPZj7pvv8kBBaNfKS8ATg+oiIMO5/F1seo1EjWrdzQ2ExUJdCg5RSLwJ4AEAGgMe11tNzu9+lCnipqSzUu2AB43VnzLiopooVxB04MpKfxYU3PJzCW7lynGeS/rxLF27YlSoBd99NpUfTpswOevo0lWxDh5JGL18OfP018Pe/sy3RpMv/pCQTJ+33swbWyJGmjInHE5zpccZ+yPfitKlbXF4UYwHvFwBfa63/k83xYQCGAUDdunU77tmz53J2L0+4WAY92JrMSXjL7V5uq1xeE3+4XSHz09+CRk4ul06h73IJepcLv2X6nBNtKrQhUUqFAngPwEAA+wEsV0pN0lo7UwE8AOCU1rqRUuo2AK8D+F1B9eH4cWp5GzXiZn7woCn4XaECmY6WLclMVa16YczR5Mnm8wcfFFSvLCyyIi8F4XNyxXMLd8HOz8zMXrhzu1hK2QdxMV6y5OJdAcUiUhS4FBqklGoB4DYALQHUAjBLKdVEa12guWoPH6awsXo1Y8MkzqMko0IF0tU1ayi8tW1LmuvzsfbSpk10Wz9+HPjvfxnL/MYbnJ8jRtBl8pVXmO1uzRq6T4aG8q96dQp4NWpQcBs4kPfcvp0CnrhNikJi4kRg+HBTCF6EO78/q4ulE34/Yz/WrGH9Jomzs7C4XFBKzQJQI8ihP2qtfw6c80cAfgD/za4drfWHAD4EqHwqhK5eMjyei7O+5JSQJLu2srtXMMEvtz7lt9+XQ7gLJpS6rZdSqqI0CXmWPgdHoVnwlFLdAfxFaz048P1FANBav+Y4Z3rgnMVKKQ+AwwCq6hw6lZ9inWFhl/gQFhYWl4SitOBdCg0C8ILzXOd5Od0zPxY8pfL9SEUGid/s3JnCaHo6E+h4vSZhVLVqTADj9VKw6tOHwfGrV1MYk9IbnTuTNt9zD+OX27ThX2IikwO1bUsBzplAQQradu3Kwrlt25p6Sk4NtVuT60wsIOcIcosrCRZXY/HbRHGz4Cml7gXwMID+Wus8pVkqzi6aBYX8WHJySwRSEpGXZyiNFrzfMorEggegNoB9ju/7AXTN7pxAwPBpAFUAHHee5HIzyNPNrXBnUZog8Uj5gdPdRBAWxt8lUYrHQyFs82Z+l/gnsehVqGBcM7NL8BIs6FxQpkz++lzAuBQaVBvAEte1tYPd5GLoU1EKd1WrGk+GGjVYV9PnY3F0KQJcsybw2Wcs05KeTnf16Ghg3TrOkRtvBG6/PWsNUI+H1jGASagiI8lIxMYC11zDeTRrlrHGxcYyFk6y0l1zDa9dsMCUgvF6TWC9FNx96qmsMTHZaasB9iE7LXtu2vmSzuxZlE4E3M6fA9A3r8LdbwX5Ee7c1q7SsN7z8gxWuPvtoERM6YtxM9C6ZGnIixskhssdH1axImNoKlc2Wv169ajFV8oQj+RkMoZeL4WE9HQy++fPk3n0eJgFMDOTjN6uXWQ009L4W1QUXQVTU41LlQgYkvAjPJz3l5ieli3JqIaGArt3050rPJz3DQ3l9TVq0C2ucmUmE5GMVo0akXmtWJHC1OnTPFa3LgUrZxsVK/J+FSqYYqhJSfxfowZ/O3OG3ytW5H0iI3mfsmXJKO/da9pOS2N5AY+H16WkcCyEydy/nwki1q9n+34/nyE6mp99Po6X18vfnczx8eO8PiqK54u7mcSQer08dvx41hpfklwoNtYEmSclGSHOaTmReKbISHO/jAzgpZfoilfaUZj0qXVroFkzzotGjbiu2rTh2gH4riMjOY+qVuU5NWpwfpUtawRvmTepqSbbr7wzWbMyjwBeM2KEWXsyb2RuSN03EQjdiI42n2Uee71MiuL8XYS2nFyj3AxYfhmU0sC4WVg4MB5ABICZikRkidZ6eNF2qWThYt1CLSxKEgpzeh8AUMfxPSbwW7Bz9gfcoyqCiQ4KBL+FjHMWBYdBgy7fvZo1y/o/JzRqxP+9el14fXbnCmJiKBzmhrzEysXE5O0cud/QobmfX8i4FBqUl2svCYVJn/Iyr5xCGGCsbwJRFOR0zqXGzeTFCmdhYWGgtW6U+1kWucHSGYvSjpBCbHs5gMZKqfpKqXAwYcEk1zmTANwT+HwzWNvFimUWFhYFgUuhQZMA3KaUilBK1QfQGMCyy9RvCwsLCwsLC4uLRqHpMALxLCMBTAdTlH+qtd6glHoFQKLWehKATwD8Wym1HcBJkAGzsLCwuGRcCg0KnPcNgI1gproRBZ1B08LCwsLCwsKiMFCoRmqt9RQAU1y/vez4nArglsLsg4WFxW8Xl0KDtNavAni1UDtoYWFhYWFhYVHAKEwXTQsLCwsLCwsLCwsLC4vLCCvgWVhYWFhYWFhYWFhYlBJYAc/CwsLCwsLCwsLCwqKUwAp4FhYWFhYWFhYWFhYWpQRWwLOwsLCwsLCwsLCwsCglUCWt7JxS6hiAPXk8PRrA8ULsTmHA9vnyoKT1uaT1F8hfn+tprasWZmcuByx9KnYoaf0FbJ8vF35T9MnSpmKJktbnktZfoPT3OVvaVOIEvPxAKZWote5U1P3ID2yfLw9KWp9LWn+Bktnny4mSOD4lrc8lrb+A7fPlQkns8+VCSRwb2+fCR0nrL/Db7rN10bSwsLCwsLCwsLCwsCglsAKehYWFhYWFhYWFhYVFKUFpF/A+LOoOXARsny8PSlqfS1p/gZLZ58uJkjg+Ja3PJa2/gO3z5UJJ7PPlQkkcG9vnwkdJ6y/wG+5zqY7Bs7CwsLCwsLCwsLCw+C2htFvwLCwsLCwsLCwsLCwsfjOwAp6FhYWFhYWFhYWFhUUpQakQ8JRSQ5RSW5RS25VSLwQ5HqGU+jpwfKlSKrYIuunuU259fkoptVEptVYpNVspVa8o+unqU459dpx3k1JKK6WKNDVtXvqrlLo1MM4blFL/u9x9DNKf3OZFXaXUXKXUqsDcuKoo+unoz6dKqaNKqfXZHFdKqXGB51mrlOpwuftY1Chp9MnSpssDS58KH5Y+5YySRpsCfSpR9MnSpssDS5uCQGtdov8AhALYAaABgHAAawC0cJ3zKICJgc+3Afi6BPT5CgBlA58fKQl9DpxXHsB8AEsAdCrO/QXQGMAqAJUC36sV9zEGg28fCXxuAWB3Efe5D4AOANZnc/wqAFMBKADdACwtyv4W03dabOiTpU3Fp8+WPhVIny19urT3WWxoUz76XGzok6VNxarPvznaVBoseF0AbNda79RapwH4CsBQ1zlDAXwR+PwdgP5KKXUZ++hGrn3WWs/VWicHvi4BEHOZ++hGXsYZAP4G4HUAqZezc0GQl/4+BOA9rfUpANBaH73MfXQjL33WACoEPlcEcPAy9u8CaK3nAziZwylDAfxLE0sARCmlal6e3hULlDT6ZGnT5YGlT5cBlj7liJJGm4CSR58sbbo8sLQpCEqDgFcbwD7H9/2B34Keo7X2AzgNoMpl6V1w5KXPTjwASvJFiVz7HDAh19Fa/3o5O5YN8jLGTQA0UUotVEotUUoNuWy9C4689PkvAO5USu0HMAXAY5enaxeN/M710oaSRp8sbbo8sPSpeOC3TJ9KGm3K0p8Aijt9srTp8sDSpiDwFGh3LAocSqk7AXQC0Leo+5ITlFIhAN4GcG8RdyU/8ICuBnGglm++Uqq11jqpKDuVC34P4HOt9VtKqe4A/q2UaqW1zizqjln8tmBpU6HD0icLi4tESaBPljZdVvzmaFNpsOAdAFDH8T0m8FvQc5RSHtA8e+Ky9C448tJnKKUGAPgjgOu01ucvU9+yQ259Lg+gFYB4pdRu0Gd4UhEGDOdljPcDmKS1Ttda7wKwFSRaRYW89PkBAN8AgNZ6MQAvgOjL0ruLQ57meilGSaNPljZdHlj6VDzwW6ZPJY02ZelPAMWdPlnadHlgaVMwFEbw4OX8AzUJOwHUhwmubOk6ZwSyBgp/UwL63B4MGm1c1GOc1z67zo9H0SZZycsYDwHwReBzNGgOr1LM+zwVwL2Bz81BP3JVxHMjFtkHCl+NrIHCy4qyr8X0nRYb+mRpU/Hps6VPBdZvS58u/n0WG9qUjz4XG/pkaVOx6vNvjjYV2YMV8CBdBWoQdgD4Y+C3V0DtDUBJ/VsA2wEsA9CgBPR5FoAjAFYH/iYV9z67zi0OhCq3MVage8RGAOsA3FbcxxjM/rQwQMBWAxhUxP39EsAhAOmgVu8BAMMBDHeM8XuB51lX1HOimL7TYkWfLG0qHn229KlA+mvp06W9z2JFm/LY52JFnyxtKjZ9/s3RJhVoyMLCwsLCwsLCwsLCwqKEozTE4FlYWFhYWFhYWFhYWFjACngWFhYWFhYWFhYWFhalBlbAs7CwsLCwsLCwsLCwKCWwAp6FhYWFhYWFhYWFhUUpgRXwLCwsLCwsLCwsLCwsSgmsgGdhYWFhYWFhYWFhYVFKYAU8izxDKRWjlPpZKbVNKbVDKTVWKRVeAO3GKqXWF0QfHW12VEqtU0ptV0qNU0qpIOc0U0otVkqdV0o9U5D3t7CwuHywtMnCwqK4wtIni6KAFfAs8oTAIv8BwE9a68YAmgCIBPDqJbbrKYDuBcP7AB4C0DjwNyTIOScBPA7gzULqg4WFRSHD0iYLC4viCkufLIoKVsCzyCv6AUjVWn8GAFrrDABPArhfKbVMKdVSTlRKxSulOimlyimlPg0cX6WUGho4fq9SapJSag6A2c6bBDRSC5RSKwN/PQK/xyml5iulflVKbVFKTVRKBZ2/SqmaACporZdorTWAfwG43n2e1vqo1no5gPQCGB8LC4uigaVNFhYWxRWWPlkUCayAZ5FXtASwwvmD1voMgL0AfgVwK/D/BKKm1joRwB8BzNFadwFwBYDRSqlygcs7ALhZa93XdZ+jAAZqrTsA+B2AcY5jXQA8BqAFgIYAbsymr7UB7Hd83x/4zcLCovTB0iYLC4viCkufLIoEVsCzKAjEA7g58PlWAN8FPg8C8IJSanXgHC+AuoFjM7XWJ4O0FQbgI6XUOgDfggRJsExrvTOgAfsSQK8CfAYLC4vSh3hY2mRhYVE8EQ9LnywKCYXlw2tR+rARhhABAJRSFUCisxzACaVUG1BzNFxOAXCT1nqL67quAM5lc58nARwB0BZUQKQ6jmnXue7vggMAYhzfYwK/WVhYlD5Y2mRhYVFcYemTRZHAWvAs8orZAMoqpe4GAKVUKIC3AHyutU4G8DWA5wBU1FqvDVwzHcBjkoVJKdU+D/epCOCQ1joTwF0AQh3Huiil6gf8x38HICFYA1rrQwDOKKW6Be59N4Cf8/e4FhYWJQSWNllYWBRXWPpkUSSwAp5FnhAIuL0BwC1KqW0AtoIaoj8ETvkOwG0AvnFc9jfQbWCtUmpD4HtumADgHqXUGgDNkFVbtRzAeACbAOwC8GMO7TwK4GMA2wHsADAVAJRSw5VSwwOfayil9gN4CsCflFL7A5o1CwuLEgJLmywsLIorLH2yKCoozj0Li+INpVQcgGe01tcUcVcsLCws/h+WNllYWBRXWPr024W14FlYWFhYWFhYWFhYWJQSWAueRYmGUmopgAjXz3dprdcVRX8sLCwsAEubLCwsii8sfSr9sAKehYWFhYWFhYWFhYVFKYF10fwNQSmllVKNirofFhYWFhYWFhYWFhaFAyvgFSGUUvcqpdYppZKVUoeVUu8rpaKKul+XAqXUk4FnOaOU+lQp5XYBkPPClVLfKaV2BwTPuMvQt3uVUhlKKZ/rr1bg+G6l1FGlVDnHNQ8qpeKVUnVd12il1DnH995Kqc+VUmmB7yeVUjOVUs1cfYhRSv1XKXUicP0ypdQ1rnOcbR9QSr2tlCqnlNqmlLrHde7LSqmFgfTHFhbFBoH1NCCbYz2UUnOUUmeVUqeVUr8opVq4zikfmPu7A+thb4BmdHWco5VSjZRSEx1rMU0ple74PrWQnzHFRRvGB47dG+jfc65r9iul4nLrs1IqNnC9/LZbKfVCkD7kuI8opf7iaDtJKbVIKdU9QNs2OWm0UqpKgAYOKawxs7AoyfgN0rXDAd4m0nVOpLsfSqmagb5Xd/z2x2x+m1ZY/bcgLFNYRFBKPQ3gdQDPgvVLugGoB2CmUiq8gO91WQraK6UGA3gBQH/wWRoA+GsOlyQAuBPA4cLv3f9jsdY60vV30HE8FMAT7ou01nud1wR+buv4bUHgtzcCx2uDBUI/kTaUUpXBZ04D0BJANIB3APxPKZWlEKq0DY7l7WBdmwcAvCmEUinVHMDTAB4I1L6xsCj2UEp1BzADrK9UC0B9AGsALFRKNQicEwFgDoDWAK4BUAFAcwBfAbjS3abWerhjbf4DwNeOtXnB+QWMa130ZKTj2EkAzymlyl9Cn6MC59wM4CWl1EA5kI995OtAG1VBGvQDSJsOAHjZcd4YAFO01pb5srDIB0orXQPQDkB7AC+6jt8E4DyAgUqpGoH+HgLLK/RxnNcHwOYgv80vnG5bCKyAVwRQrBfyVwCPaa2naa3Ttda7AdwKIBbAnUqpWgENSmXHde2VUseVUmGB7/cHNLCnlFLTlVL1HOdqpdQIxbor24L04Wql1CpFS9s+pdRfHMdEczxMKXVQKXVIKfVMHh7tHgCfaK03aK1PgbVb7g12otY6TWs9RmudACAjl/H6nVIq0fXbk0qpSYHPVymlNga0Zgfy2NfsMBrAM+oSLala6xSwrk07x89PAvCBAtlhrXWK1vpLAK8CeEspFjV1tbMZwAIArbTW8wNtjg+c+zGA1wLnWFiUFLwB4F9a67Fa67Na65Na6z8BWALgL4Fz7gIQA+B6rfV6rXWG1vqc1vo7rfVfgjebdwTo5jWO7x6l1DGlVAellFcp9R9FK3uSUmq5U/ucT2wCsBisF3VJ0FonAtiAAE3Jyz4SpI10AF8AqAGgCoAHATyqlGoXUND1B+mUhYVF/lAq6ZrW+jBYeL2d69A9ACYCWIustGY+AsKcYlH3DgDGun7rDivgFTqsgFc06AHAC2pR/x9aax+AKQAGBqxKi0EtieB2AN9prdOVUkPBQpk3glrZBQC+dN3negBdAbTAhTgH4G4AUQCuBvCIUup61zlXAGgMYBCA51U2bgkOtAQ1VoI1AKorparkcl1u+AVAU6VUY8dvtwP4X+DzJwAe1lqXB9AK1JBdLBIBxAO4FCERim6evwe1WYKBAL4PYm37BkBdAE2CtNMCQG8AqwI/PQ+gM4DvwQxYoy+lnxYWlxNKqbIg/fs2yOFvwDUCAAMATNdanwtyXkHgS3B9CgYDOK61XgkyLhUB1AGFoOEAUi7hXi8BGOVU1l0MlFLdQPomNCXXfSRIGxGg0m2f1vp4QCB8GcCnILP2aEA5Z2FhkUeUZrqmlIoBrYvbHb/VAxAH4L+Bv7sdl/y/gAda/jYBmO36LQzAsnw9mUW+YQW8okE0uOj8QY4dChwHKMD8HgACFpvbYISa4aD1ZlOgnX8AaOe04gWOnwxYk7JAax2vtV6ntc7UWq8FCUNf12l/DWiX1gH4DFkJRzBEAjjt+C6fL3BPyg+01smg24OMRWMAzQBMCpySDqCFUqqC1vpUgJhlh24B7ZX87QhyzssAHlNKVb2I7j6jlEoCcBZAL1BjJ4gG368bhxzHBSuVUqdA4fZjcPyFeRsB4AbQEpij9dPCopihMrjvZLcOZA1Ew+G6HbAwJQU8DrYUQD/+B+C6AGMGUGEkCrJ0kAFqFNCwr9Ban8mhrZ9cNOUh50Gt9WoAM0HlzMXguFIqBVT4TQDwU+D3vO4jAHBrgC7tA9ARpB+C8eAzr9Za/wQLC4v8orTStbMgzTgK4M+OY3cBWKu13gi6l7ZUSrUPHJsHoFXAC6o3gAVa620Aqjp+W6K1TrvEZ7XIBVbAKxocBxCtgsfG1QwcB2il6a6UqglqPzJBSx3AOIuxwlSAsR4KjP0S7MuuA0qprkqpuQHz/WlQYIx2nea8fg/oV54TfKBPuUA+n83lurzg/4VdkGj9FBD8AFo5rwKwRyk1T9EXPjss0VpHOf4auk/QWq8HMBmMJ8wv3tRaR4EuUikAmjqOHQffrxs1HccFHbTWlbTWDbXWf3JZ/Ta4/ltYlBScAulYdutA1sAJ5zla69WBdXUjLqzdlG9orbeDmuVrA8zQdTDKs3+DLklfBVzU3xC3+GxwvYumfBTknJdBL4mLcfWMBpVnT4Nac+lLXvcRAPgm0LdqWut+WusVckBrrcGxsPTEwuLiUFrpWnmQ5jRDVv7wbtByB631AVCouyfwfTcY29sb5FuFZ13k+M26Z14GWAGvaLAYDE690fmjYpaiK0FzNgKuMjMA/A4Uar4KbMYAha+HXYxFGa31IkeTORU5/B9oAaujta4Iuue4Y8DqOD7XBXAQOWMDgLaO720BHNFan8jlurxgJqgBagcKekK0oLVerrUeCqAaqN3+pgDu92cADyGrwJxnaK33gslaxiqlygR+ngXgRnVhxstbwfe59SL7amFRIhBwTVoM4JYgh29FgPYF/g9Sjoy2hQBxZxoKYGOAOUIglu2vWusWoNvVNcjqgpRvBOJkfwDwx4u8PkNr/TaAVACPBn7O0z5iYWFRuCjNdE1rPQ/A5wDeBJgpFAzdeVExw+ZhMBTodoeySdw0u4OCHUBBrw/o2WQFvMsAK+AVAbTWp8Hg+HeVUkOUUmFKqVhQMNkPaloE/wMX4c1wCDWgQPaiUqolACilKiqlghGX7FAewEmtdapSqgsoQLrxklKqbOAe9wH4Opc2/wXgAaVUi4Ap/k8gYQgKpVSEUsob+BoeCAK+INEI8P/JAb4FY84qgwKflFu4QylVMXDOGVCTdkkIEMWvATx+CW3MBIXiYYGf3gF94D9RStUIPO/vQabvWYfwbmFRWhAWmOfy5wEt4/copR5XTBleSSn1d5AZkKy7/wJdm35USrVSSoUGaEWnAuzbV2B88SNw0Fal1BVKqdaBZABnQNemgshS+1eQjkZdQhv/BLNyevO5j1hYWBQcfmt0bQyYLbMtaKmbCeZ2aBf4awWgDEwm0Pkg33rQ4QaaEPitIigMWxQyrIBXRNBavwEmSXkTXGxLQStOf631ecepk0BtyWGt9RrH9T+C6bG/UkqdAbAeQdLs5oBHAbwS8LF+GcGtXvPAwNrZoOvhjFyeaRqYSWougL2gW+f/+20rpTYope5wXLIFdGOsDboOpICup9nhf2CQ8reuuJO7AOwOjMNwAHcEuziA7urCOnidszn3FQCXqmkbDTJkEQFLZi8wMcJG0F3jKQB3aa1zE54tLEoipoDrWv7+opk5dzBoeToE0on2AHoFYjWgtU4FkzxtBPArSCO3gAmGbi2Ijmmm9F4MarOd668GgO8C99wE0sGchKVfXPTkx2zutyvQzqXQlF9Bd7CHAm3mdR+xsLAoOPwW6JqzzWOgcPpyoJ/vamYClz+hbVKndx7oUZXgaGY1KASucITXWBQilDUaWLgR0ALvAhCWTQC/hYWFhYWFhYWFhUUxhLXgWVhYWFhYWFhYWFhYlBJYAc8iX1BKTQ3i4uhTSv2hqPtmYWFhYWFhYWFh8VuHddG0sLCwsLCwsLCwsLAoJbAWPAsLCwsLCwsLCwsLi1KCYAVSizWio6N1bGxsUXfDwsKiALFixYrjWuuqRd2PS4WlTxYWpQ+lgT5Z2mRhUfqQE20qNAEvUNtjPoCIwH2+01r/2XVOBJh6tSOYMv53WuvdObUbGxuLxMTEQumzhYVF0UAptecy38/SJwsLizzhctOnwoClTRYWpQ850abCdNE8D6Cf1rotWAhxiFKqm+ucBwCc0lo3AotAv16I/bGwsLAQWPpkYWFhYWFhUSpRaAKeJnyBr2GBP3dGl6EAvgh8/g5Af6WUKqw+WVhYWACWPllYWFhYWFiUXhRqkhWlVKhSajWAowBmaq2Xuk6pDWAfAAQKap8GUKUw+2RhYWEBWPpkYWFhYWFhUTpRqAKe1jpDa90OQAyALkqpVhfTjlJqmFIqUSmVeOzYsQLto4WFxW8Tlj5ZWFhYWFhYlEZcljIJWuskAHMBDHEdOgCgDgAopTwAKoLJDNzXf6i17qS17lS1aolOZGVhYVHMYOmThYXF5YZS6lOl1FGl1Ppsjj+rlFod+FuvlMpQSlUOHNutlFoXOGYzp1hYWFyAQhPwlFJVlVJRgc9lAAwEsNl12iQA9wQ+3wxgjraV1y0sLAoZlj5ZWFgUMT7HhUql/4fWerTWul3Ay+BFAPO01icdp1wRON6pcLtpYWFRElGYdfBqAvhCKRUKCpLfaK0nK6VeAZCotZ4E4BMA/1ZKbQdwEsBthdgfCwsLC4GlTxYWFkUGrfV8pVRsHk//PYAvC7E7FhYWpQyFJuBprdcCaB/k95cdn1MB3FJYfbCwsLAIBkufLCwsSgKUUmVBS99Ix88awAyllAbwgdb6w2yuHQZgGADUrVu3sLtqYWFRjFCYFjyLIoDfD3hyeat5OacoUdz7Z2FRkHDP99RUwOstuv5YWFgUK1wLYKHLPbOX1vqAUqoagJlKqc1a6/nuCwOC34cA0KlTp2LrXl5Ye35qKtuOjOR/4ML7+P08z+Mxfz5f1ut8PnOdHPd6+d/Zps/Ha5znOq+JjDTXyr3kuuho3ss5FvLf8kQWFwM7ZUoR/H5g7lzgiiuyJwbBzilOxCMvz2BhUVog8713b276qanAmDHAqFFWyLOwsABA1/As7pla6wOB/0eVUj8C6ALgAgGvJCCve35e+RQRkgDgH/8Adu8Gxo0DliwBUlKAa6/lcaG3kycDP/wANGwIdOsGtG0LPPMMcPQocOONwJ49wLRpQLlybLN6dWDFCqBWLWDrViAzk8e0Bk6cAKpVA8qWZV/LlwfCwym8rVoFtGkDrFkD1K3L6xs2ZJu//gpMmgSsXQusXMk+lCkDDBjA47Nmmc/OMZAxyWls8nJOfsfYomTgsmTRtCg8CCEDuDBzI5Luc4S4OtspSuTlGSwsSgNkM+3dG1iwwDAdVrizsLAAAKVURQB9Afzs+K2cUqq8fAYwCEDQTJwlAXnZ87PjU+S7/E9NBaZPB95+m7+1bw/ccAMtZ+3aUZA7fpzHfT5gxgwKXnXqUKjq2BF48UWgXj3ghReAv/2NQlyvXmxv3TrgzBkgJgZo3RqoXx8ICQEiIoCrr6bA1qgR+1GvHu/Rti0/d+wItGgB3HwzcPfdQOPGQFgYMGIEr/vkEyAjg+cDvKcTqalZx0DGxP17sHHL6Zzcxtii5MIKeCUYwRZkXgQj5znFUaDKSRMV7LOFRUmDc+2616AId3aOW1iUXiilvgSwGEBTpdR+pdQDSqnhSqnhjtNuADBDa33O8Vt1AAlKqTUAlgH4VWs97fL1vOARzG3SfdzNp/j9FOZEeElNpaKsb1/g8cdJR8uUAa68ksc+/piC3OLFQCtHxVOtaWVLSwOWLQMGDaJg9vzztOQ1aQIcOQLUqEFl3PbtQKVKQEICBbvrrgPOnQMqVAAefJDtffstcMcdvHbvXl5/880UHtu04bWPPAI89xyf6fRp4OGH2deBAylIzplDy53fD8TFsd+9e2d135QxyY6Hk2Neb/6V/xYlH1bAK8EIZo272HYu5fqCRk6aKHG/yK+mqbCerTj0waLkQdYuwE3cCZ+Pf1abamFReqG1/r3WuqbWOkxrHaO1/kRrPVFrPdFxzuda69tc1+3UWrcN/LXUWr96+XtfeMhufw8mBK5ezc8ixPTuTeEpIYG/DxjA8xYvpmfEH/5Aoa9PH57Tpw/QuTOFq2nTgJMn2eb8+cBHH1FwCwmhxe7UKeCqq4CbbgIaNACSk+muWbEirXZNmgBffEFB8Y03gA0bgCFD+L9vX97X7wf+8x+gX/8UZ1IAAQAASURBVD/g00/pmjlhAnDffXTdjI/nc3bsSEEzLs78Js/oxty5OY+nO54vL+dalA5YAa8YIj9MXV5cLfPSXn6FpsIUmLIj7qK9cn7OS18Ky/UgP+1a9wcLN2T+ZmSYQH+fDxg+HBg9Guje3W64FhYWvy3k1ZLk8QBPPGESlgD8PGAA3Rsl7mz8eNLSyEj+xcUxHi8tjXvy6tXA8uUUuiZNYsxdkyaM3bvzTrazaxdj6z78kBY6ic979llg/Xoei4ykAHjPPUBoKPtTqRIwZQqteGvW8LeHHgKuvx5o2pTCn1gQ+/dn371eYPDgrM8lz3uxY2Xx24QV8IoZLlYQyG6hu9vLrt38EIrc+ngpQmJ2rhh+v4lTcn/Obbzy+2x5PZafdp3nOoPALSwAxoJI3Mj11zNeROBcu3beWFhYlHYE21PdIRqzZtEK56SL8nn8eJONeNSorFk0RQjs14+CWOvWTL6yeTMteIMG0e1yxQpa9mJiGHf3t78BTz7Ja1JTgS1bgNtvB157je1v3UrBcMECCm3Nm1NgXL6cAuW99wLvvkuBcPp03u/RRxmDN2WKydTpzqI5YEDurpWFCbvnlFxYAa+YoaA1Mk5XsIKyIuXUx7zeI6fz3MKduCDIPZ33z228skuNnN8+5dVtJCcI8Z41y/jWW/y24fFQW3vVVdzsFy402l9JBCDxJXbeWFhY/BbhDtHweGiJExfMWbNMLB5gElU5M0gK7RT6KW6cGRkUsNq3pxA2ezYVbq1bU4A7eBCIigL++leet2QJhb916xg7t2oV8N57FNTi4+kG2qgRE6hcfTVdM6tVY39CQij4bdwINGsGvP8+4/4GD6Z1MJhrflFa56znUcmGFfCKCDm5UuamvcquvZwsdW4hyX1Ofq1y2RGdnCyJeTnPfY1bmAt2fyHgwa4X5jhYH/La97z2N7tncBPrAQNy18pZ/HYg82DJEm7wGRkMtO/YkXNH3JF79bLzxsLC4rcHp6LamVDF76dAlpFhQjdmzzY8wfTpFOykXp38JolLBg2i9e3NNylklSnD+LrXX6eibc4cJksJC+PvgwdTCLzrLrbTty8wcSLbnzeP/frrX4Ft22i927SJdLtJEwpyTzzB+7VuzbaUYhxg5comMYzQe+FbigJOXtS6gJZcWAGvCBBMmLoY65ETbhdAp6Y/mJDkbjOnhZxbil33c+TmJursc3ZwXpMbccktbm/BgrylCQ7Wp0vRpDk3GHc7eckUavHbQqdOZAp++onfe/akJvrnn6k5FhdOCwsLi9KG3PIHOD12nFkhQ0MZvya8z+rV5rqMDNa2mziR9BVgnbkZM2htS03lORMm0NXyhx+AHTuYZGXtWtar++ILWt5iY2mp+9e/aIWLjub/AQO4x3/7LS12oaFMxHLzzSx5sGwZ/4eGmn1//Xp+7tzZuIx6POQX4uMpMI4ZUzRCXjDe0KJkwgp4RQC3MOb+Lafzc2s3r8ecGjEgqyDlJKqiKQuW8MEdA5eToOV+3mBwErNg/XPfO1j7bgTbELJr042CcE8IDaWmMC8JYS6nO4QVFIoPRCGzYAHw1ltkRiIjOWf796c7T5cu1PampvL8otTuWlhYWBQkclN6u/d74VfEI0bcMRcvpqukfF+3jp+HD2eZBICJUfr1o8A3cSJpa5s2TKQSG8uadJs28bd77qFwV68esH8/8PXXjMubOZMWt8xM0uUPPqC1r04d1sYbNIj9Cg+nABkeTmufM3On10sl3uzZWS2RcXGk/+56qJdrz7ZWu9IDK+AVEYRI5VVTkt9YL7crVzCGUO7v9Pt2+6qLcLd4cVb3T4kJ8vuzj4cLRpSDEWzp35gxxpVC4C7SmZ0gmZPwGewct5Uz2NiIBTCvYx9MsJXNR47nJMBdLsJq/eqLFzweapm//55B+LK+pk6lRjc5mYzBQw8xecD33zPLphXyLCwsSgOy2/ucpWSc/EcwvsnjIa+yfDmPeb0my2ZUFAUm4UNGj6bV7s47Wa6gUye6YT77LPDHP9LitmQJcOutjLMLCWESlS++oPD16qt02QwP57k1ajBj5q23UtB7/XUq69LSsj5PRgbb7duX/Rg3DkhMDM7LOPmG7ARgJwpyP7fCXemAFfCKEHlNEOL+nNe25RoRnpwMoVt4CybIiPAWGXmh++fs2SRe8fFZCa8zS6QQJLmv24/e+UxeLzByJPsiVgq39Q0wNcNySvLivHdO45uREfx3Z+ye8/lyQl7cUPMiwOVm5cwPchMk83udReEhKopxILt2Af/8J12IwsOBv/+dhXW//ppro3FjptaOjbWbsIWFRelBdsnVgp0XbB9NTTW8jPAB8+Zl5U9mzeJvLVqwTMHy5bTYffIJrXSiqM7IoIvmvfcy22XDhvTG2bGDAt+//sX2WrYkf3TLLcy82bs38MADwL59LKYeGsq20tKopOvbl8o8UZh37Ag8/TTb6NuXNN8J5zi4lefunAtWaWvhhhXwihA5xZcFc30UwSe784NdL6mCR47Mau4X61RkJP87j8XF8foxY4JryeLiGCAshTidMW5iDQQoPEo7TiHP7bIp95C+xMcbjZ3zvoCpGZadcCdj1rkz2wk2NgLJVujGxVjScrJeus/LCXkl1Llp7/LSTrDjdqMoOkRFAbVrs/5Smzbc8JcuZca2tDRmeStThszGp59mTRxgYWFhUVrgzhvg9kiSz84EagsWkH8AaD3z+WgdS0rieePHU7jq25du72vXmkLpAC1xY8fSc6JMGcbbnTrF6w4fpuKtYUO6Z954I4XDtWsNHS5b1gh8oaF0v8zIYP27detoJZw3j5bD9u0p5PXvb9xJExKYkCWncQj2e7DvFhaAFfAKBXkxnTsFsGDH3O6BbsHH2W52LovOBCMJCVndHyW2zufLWlNu1iwjGDlTDTv7JucvWGDuI9mfFi+mYCcEVdpxw2kNdD6TBBznlC0wO6ua9GX2bN47LS1ny1pO98huY5GxC/aO3dq1vGbvdN83L9lFc9Pe5dZOdsfzs1FYwaJg4fdT85ueDtx3HzBtGpmEDh2o2X36aeDYMVr0KlXiNW73ZQsLC4viivzuhcE+B/NMcvJLHg/riHo8pKXPPMNrhg+ne6THQ1fMHj3o9h4ZSRo7eDAFNIB18f78Zwpk//43eYlVq2j5q1kT+O9/GX/XoAFj+yZNolLu2WeBihWBl14CPvuMgt0TT9BSt3QpBbrHH6fgKcKo0O+MDN4vWFK23MYnp/MsfruwAl4Bw52tMRgzDmQVwNwClFjCRDibNctYzgYMCN5uMOuRM+VuWhr9vX2+7N0z/X7eQ6xy4l4paYWl3063SWlLLIW9e5NIJSTQaih9clrxnG2JMOf+Pbux7d/fCF3C1DrH1usloX7mGdYWc7p3utvKC4IJd2+/nXVMgglY3btntWzmdL+c3Dqz65PzmXIS1nJrJy+/56SgsEJFwcHjoQvmX/8KdO1q1qxSZE62bCHTcNNNwPHjnIOzZ1MbnNcssRYWFhZFgYLYM5xtSBFzUULHx5t9uW9fCm5/+hN5D6+Xwp2ElXg8FLpeeom0Njyc7a5dy3NCQ4GhQ0l3H3mE9/H5gMmTqYRr3ZrWtjJlmIhl4EB+9ngoHI4cSSVdu3b0zJCi6m5LXHw8eQXhWwYPLvxSONnt5xalD1bAK0CIVcxpeXNqltzMvjOzo1O4CRYXJ20nJWWNQwNI1ARu104R1AYNouZIinvKfZ19e+stk9Gpe3cSxqlT6SKWnYAigqLcR/obF8fnk746CXGwAGmnJS+YUJyUxOxYM2aY32bNYvp4Z5FTp3DrhPOYU0hzP1dulhCvF3jqKRLiYO4R0q+EhKyWTXesovN+wayyzuPZIT+pjC+WgOdkAbUuIQUD59imp5M50JruQ/PnkzG5915me6talRnbJK7j9GngySeZNKBzZ/s+LCwsiicKYs9wtyH7vCjAAfIs48YZy54kXRkwgHxQu3bkIyZOpGAWGUnFcUYGi4+vWUNr3caNtLTdcQeTqnz8MenvNddQedy6NWP3PvqIvNLp01RuDxhghLbVq8m7LF5MgdDv572lr2lpTMoifIdbAAQKVvgKtp9bZW3phRXwCghOH3B3alux5LiFIcAIBU6hTNwcvV4e79WLv7VvTzetlBRDDFJTDQGT9pw+2yJciNZK+uT3kymcMcNYCJ9+mpqv8eN5vH174MorKdAkJGQVvoR4OgVFOR4aaj47NWbu/gmcljxnv6Wvs2YBCxcC119PAi3XxMWZMgROi6JT4PP5LnR3FSGtf/+s78LnC163zo1gqYvlPcqzSJ/kmMCZfdR9j9ysv07kFvOXGwHP7vnyI8hZYeLS4Xw3Hg/jNHr2pNDWogWtd34/U29v3QqcPJnVZWjLFuBvfyPTsmSJ3aQtLCyKLwpiz8huz5OyMuHhwLBhhn9yetP8/DOLlKeksIbd9u1UaiclMTvxunUU9Nq0ofXuyBG6bx48CJQvz3N/+MEo1R94gHv9kCEUFCUMpm1bo9R9/33yUvPmUfj84QfeLz7eJHORunfuuOqCFr6y47+ssrZ0wgp4+UBObnbOWLTsfndnpHSfI8KNWPAk1ksEvshIumcNHGisefPmMYWvu39+vyEWAwZQSPR6SYyE8LRta+q1eDw8HhlJC8Ly5SYA2ElQnUJjaqqxhv38M/DGGxQYO3WiBk2sbd26BddKuYUcp7VS4g2l/4MHU9j0eLIyxM7ioQCvS0kx4zh+PMfBHbcnzyvvwucD3nmHjHOvXtkTO7eQK8KkmxC7hXhxQ50xg0TdKczJsWDW35yyhTrHKyfBMJgw6I7bCmY5db8Xi4KH2922TBnGgSQk0B2oXDmWSdi3j1a9lSsp7HXoQOakbl26bQJGQ2yFPAsLi9IAN08j/3NSWmZk0Drn5J/at2dylI0bSS+vvpq09qmn6KL5/vv0nmjalLR2/XoqzAYOpMLtmmuAG26g5e7QIbb50UcmNrp3b/IbEyawRMKqVbQEtmkDPPYYsGgR+9W9O5O1fPop6fW11zKcRPgu4fucPE5eFbl5hVXW/nZgBbw8IlipAYHbHTK7351WHvf1zkQnItAtWMDjvXuT4YuPp0AWGUl3rIkTaXF76ime9/bbFFRmzQJ++om+42+8wd/Gjzd9z8igW0Bo6IVxcampWTNr+v28b7duRqjzeNjG1KkUMIcNY2HQRx9lm4mJdAft04dtTphghM3UVLpV/vIL/2bNoqDqLKkQH2/iDUXolX7IeMgYOuP3xNq5aZPpZ7BioU4CKpvAvHkmrbFYK4O9Z2fKYhnL2bOz9is7wczv58bRtat5x/JMzthGJ7ITjN1uuLkJhsE0dsCFmU/zWrbDomAh49+1K9fVsWNkRkJCmFDl8GEKdP36UQkxaxbw66/AN98A58/zt2nT6ErkjA+1sLCwKInw+QxP41aqAlkVY34/+YrZs0kj27c3fEPnzhTgli2jELd8OWnl6tVsb+JEekvccgt5nz/8gYlRVq0CPv+c9//xR5ZGuOUWCngAcP/9FBIXLeJ3r5du9E2bUrBr1YolFvx+WulOn2bdvYQEWg+d7phz52blAdwx9vKM7uRt1rXSIidYAS+PcAb0OuFk+p1MtrgKAlnjs4JZTtxulWLpkzID7sySfj+JlCQxkZoqbdsaK11kJPDaa8Bzz2Ut8rlgATVSoaEMMn7yyayC1uuvG/cBEX5SUugiKe6WAAXL9euNtUxr/j54MO/v8VCw69OHgl9CAtubMYPZpFaupIarXTsS2M6djRAn9en8fvZFLHCSFdOZfEbGWSxpkZG837x5dEEFjAXN7zeJKXr35vlPPMH2Q0M57lL6wSnkyPtyW1sWLOA4iEuq9MsN6aPHQ8F31argrrzZaencc83vz12YlHmSE8QaK/GCwfz/g907r7AbT97gnFdLlzK727x5QEwMXYbKlKGl7vRpzt2yZYEqVbiud+1iJre1a3ltZibnZF7ev4WFhUVxhN9vBCFRuAbb55zlo9asIe8grpp+P/MKzJ9PZXdYGHmktDTSyxYtKJw1a2bqz335Je8zaRKFxGHDuL8fO0bPip9/Js8SFsZsmaLETksjb7F4MePyVq5kX1q25D2GD2f83ldf0RoYHk5aLryNO3TH+WwyHrJfOw0G1rXSIidYAS8fcAt3QFbmzGmFc5/jPlcEEvkPZC3wLa6Pr71GIcep6QGMpseZDbNvXyMQdusG/PGPWd30xG1xyRISn9Wr6ZZ47bUUambNYpzP9OkU3GbPppvYhg1s+6qrTI08gK4H69fz/ORkk2lKxqFVKwqGCxeSOZXrwsMpWI0aRQb2wQfZpxkz2O/+/XnvV15h3N1rr9HtU+rWCVHLyMga8yYC1pIl7G+HDlmFJhESZTy8Xta9iYyk5W/CBPZBhFu5zp0Axim4i/AtyVScmTODMdhOF12n62awmocC5zt0xlTm5Kcv/czJEilzTcYxNzgVGLnBahfzBxlXn4/1l6pX55qJiQHq1GEsSPXqtOYlJ1PBc/IktcmJicC5c2SEJD7XOY/sO7CwsChJkL1ReBPxZgIujNWXck3PPkseBTC/PfEE+YbISPIQAHmOxo0ZNyeFyENDyZfcdBNw223Anj3mt82bKdStW0dviUaNGJPXpQt5jZQUk33z4YdJp9PSyDtlZFDxtnQpnyMqygigUhZBhFJnMjbns4mHjWQqd9e/u1yw+0jJgxXwCgBOS4rTopddulvnQsnIoFDxyy/Am28a9yqPh0Sldeus7pXulP/OYuXz5lFjJYSgbl2jyRdBcvFiEhqJvYuMNG2tX08L3qZN/N6zJz+PHMnz/H729R//4G8A0KQJBcV9+8iIer20xs2bR1eJ/v1pKfzoI/rADxpEn/XERBLH7t35uVs3tjNmDNvt35+/iQZNLHviDpmamrVQuZPwpaUZIirPv2ABx7NMGaPdE7cIsa499RQ3iF69jKAmG40IYrNnGwsjYN61CNbZuVg4XUlzipFza+ncgprHk9V9NZiLpnNuBUN+NX/SB3ccY06w2sX8w+NhbMgNN7A+k89Hi9ypU2Q8zp2jQHf8OOdYjx5ARAQZifXrmXBl8WJT5LdzZ87X3JIGWVhYWBQ3yH7o3E9FuQpcmOjNmdRMkrTJb34/+ZGNGymkffEFf+vala7uHToYYS8picpr5x5+6BD5kdBQtnn11cwu3q4dFeBSD693bxZDP3SIvE7fvsCBA+SBpP/S79BQ8iKSkdu9V7prC7szlV9OWIVtyYQV8C4Cwax0Aiez7XaTcjLKYgnr399oikaOzJp+/6qrqGVq357fZYFNn27+nBqfwYOpsRKiJslX/H6TTVKE0BkzjN+6MIAhIRTk2rY1yUvatuVvqalkFkNDKQiNGcPjU6bwHjfcQIthaiqtggkJjPObOpW+78OHM0kKwPbE6gaQqIprZfPm5nkGDQJuvZX327CB7hASNzh2LAUxwPRfLJ/r1pmspfJ7587sX6dOxlVVXGCdrqdAVoIq4ybvUYiyfJfsoU7CLcecVjnne4uPv7DIqTtGrnt385vTZdVZiF4QrM6fe9654byfU1B2tyHX5lZ8PhiscJd/REZSAfL991zLTZvS9ahvX9KIypUZR+LxAGfOGMXC2bPAjTdyDbVqRev/W29Ru+x2ObawsLAoSXDTr9RU5heQbJZurwVRbKWmcn9/5x0e79iRe+9XX7HNRYuAatWY9OTkSfIrkgH77bfJSzzyCGPqHniAsdAtW3LPTEmht4VYAE+c4H09HnpezJhBXkKSqkydSq8M8RByJ4gT5a3zNxHygiXnu5ywCtuSCSvg5RPumC/3MWeijGCWGhFs/H4KdH4/BbP+/el25b5u8WIeA4xwBpDhk6LfgKnpNm+eSWgisWGTJ7N2VlISv48eDXz7Lb+L9czrJTO5cCEJlrgPhIYaP/GUFFr1Fi6kX7vXS6tj9+60jAG0NjZqBOzdSxeGNWtIYK+5xiSqOX6c586eTSZUtGbjxrGfr71Gi6YIr16vEUKE+LZrZ8ZZYvPEb1+EXGfsY1QU77VqlYlhmzePhB8wVjsZZ6/XZOFMSmK//X4z3m+/zT7Ons0/ERLFPRMwcX6zZpmMovLOJDup2/ImgqDU8ZH3KJ/dsZiyoblTLIsQ6JxL2Ql6wQQ3medSNkLOzasGz2r6Lh5eL9/pli20emtNJUdyMmNBzp7lu968mVa9smW5hhISzNpt2ZLKko0bi/ppLCwsLC4d7r1KKfJBgNmjRDEaGso9PSGBnyVcpF8/Ks49Hu7hKSl0f7/7bu7R0dGMw9u/n3T3kUfIwwwbRu+mP/+ZvM7PP/NagLR24EAq42fNYkxft24m1i46mtdLYrp27cjXdetm9lmfL6tSWiAeOjlZ7gp6r82uPSvclTxYAS+fcMd8yWKQmDlnXBQQXOshgkRsrLH0OePznNoSsfSMGWMEjbQ0CiciUPh8dBeYOZOEQ4SRp54is1imDFMDr1rFtlq3phC1bBkz882dy7anTaOGa9MmY6nq2pXWsmbNmJlz7lwTpJyUxIDiHj3Ms7Vsyfs1aGCsgWvXsp8TJtC//amn+L1vX1one/QAPvyQCUj+9z/eMzSUBFB86UeONKUXRCgWi93ateZ3GT8h+E4BJyoqq89+//50xRg0yGjKnLGOXi/vK0lqRCjzekmwy5ThMwwezE3DGYsHmIKr3bqR0Pftm1X4F+It5Sak74MHm3fn8XCjGjfOaCvluWV+OVMsy0YgpSWc/XHH9jnntHPOOuf54MEXCpQ5bSjZxRFa5B1+PxUk9euTyahfn7QFYNkE53m1a1PznJYGVKhAhc3EiQzy37KFa0qy4VpYWFgUV7h5p2CQvcrrZcydM8REPHtSU81ePGAAPX+uvNIUFRcvI7+fe/KVV1IIGzqUHhJ//zs9jjZvJp+1bBnvc/XVdO1s3ZptbN7MEJUffgDefZf7/LXXAtu2UZjbto28jN9P/gagQnzdOnoUvfsule+SLXTGjAsVvrlZznKK978YWFfM0gUr4OWC7KweboEAoDDjjHkLVtBaFmxkJOufCPPlLM4t54s7ngg4iYkUoK68ksJJr14U5saOpcDRuzetZvfea1wkxaqzfj2Jis9H7dMnn5Dw3XILjy9dSstejRpZg5XfeYdWgE8+AerVo4bs2mvZn6VLmYkqPp7xczNn8pqMDJPgxOlq2KQJhcz69fk9IYH/FyygtWHRIrYjrphLlpgx9vvZrlgTRShKSCAxDg/P6uIgbo1OAinCT/fuPDZ7Ni10M2aY7JryvkQokuyfTiY5NZX+9t26ZRWq5B5Tp/IcKR0hmU2lxo1YxgD2ZcYMjr1TIJK2/H7OlaeeyirUvv22aQMwLhzO650xekDWIG43ghF2p/LBPZbBIG3kdi+L3HHzzWQ2evSgkDdqFC11584x7g7g/337qEzZvp2JAZYtY3a3Jk2oKZbiu3bTtrCwKK5wKgXzokQEsia9E8+e1q1N1s3p06mEfvJJeg2tXm08eMLCuDdPmED3yUmTSCvvvJOhHLfcwkQsoaEMXZGcCPPmAc8/z98bNCCfIaUQ4uJIe1u2JD/SrBldOAHeS7wpxOWyeXPyZaGh7Hd2oRI5jUN28fcXC+uKWbpgBbwckJM2w219iY83ST2cVr5gSQ6ESRfhADC16UQgEndAsZ5ERpogX8AIfqNGkaC8+y5dE0+eBF58kcRl5Upafvr2pTD49tsUBv/8Z54bFUVhUYKLly41woz0cc8euho88ADv8+KLpm5dWhr7u3WrqYGXkUFLX0oKBZ1nnqHr59y5tLRlZJDger3sU79+1Gh1726sdlJkXWLsfD4+Z6NGJNqtWlGwnTqVxxYtMufKOxG3RqdQNmsW3SrHjuV1/fuz3auuMq4eIjzNns3PGRlGoBRXCimZIfUI5bj09f33s1pQJXGMuH5K7KG4lAIXKgckXk/mjlPA9HhomenZ88J5GUxIcyZwccNpOQxWUNU993Mi/LndyyJ7OOfp+PFmXb3yCgW7li3pngkwSYD8z8ykJTklhaUTKlSgYuGzz7g+Dx8mDejc2b4TCwuL4gnZO9xZIt1w82TuuHTxpAHIRyxYQPfJDz+kMvqJJ7hvDx9Oq90f/gD85z9UkHXtCvz73xS84uP5v1s3Zsb0+ahE79CBCurYWJ67YQM9gDp04DWSmA4gD5KZaRTATZuS9xFvo8hI8hHXXsu//v2Du2hmx4M6xyy7sboY2H2i9MAKeDkgJ22GuE9KDFawVPPiCy4MvUBKCXTvbhJz9O1L7ZJY3d580xwDDOO3dCkXbkoKCYXznldfDezYQcL1r3/Ryta6tREOMjPptvXAA2z/8GFeHx5Oy19aGttMTaUQt3Ahn3/jRloFN2wA/vY3ClTffktrwYQJxkoF8FljY3lN+/YkhhJD2KYNhbm5c5mcZdw49qtFCwpFKSnGagcwZu6NN9ifJk1IBN96i1qvli15zrp1dE+dMydrbF23bmxfCqpPnWpKLTz8sHH3nDfPWALT0jgeTz3F9yHxj7Jh+Hy8LimJ36dPp2DtDJyOimLx6agoY+kdOfJCIiwB1gMGcFOSuAAZQ8mu1auXEbYlzm7WLFpLn3iC4+gU/Jxxms556MwIKpA2g8WSurWp+d0sggWMWwSHcxOX+bJ4MZOpfPkl19CBAyyREAzijnz4MLXUe/dS6Dt5Evj974FatbiWrQXPwqL4QCn1qVLqqFJqfTbH45RSp5VSqwN/LzuODVFKbVFKbVdKvXD5el14cHqKABcKOgJ3mQCnItz5u2TGLFOGXhBr1jB3wPffU9D68kueKxnCPR7ur6tWkdf5+msqwH/3O/IK991HK17Zstx7O3fm9RER5F0++IB7Ztu2Ji9B69bcq0ePJp81dKgJCenVy+RdcD6be0xystDlVRC2+G3CCni5wClgCYThFQFO4rDkXHGJAgyTKy6YIqi1bk2hZORI40bZvr2x0IlFT+7l9VLrFBLCNlavpsumz0dhSikKCc2bk5DVqMFrVq82WvxRo/i/Tx9aw+65h8JKu3ZZSxd8+y37dewY8N//UvPUuTMFtJUrKQzWr88/ER5ee42CVnw8nyE9HXjhBWMBW7OGYyGuCH36UCO2cCGfNz2d/3v1Ms/cvj2Fv8RECpFz51LA7dWLWrlrryWhfvZZU0rB7+e9xMoVGkpB9Kuv6G66fLlxt+jXj/dMSKDwt26d0a4lJBhrqhRo37ABuP9+vr/Zs6mte+QRWlq6deP9fT4Kd6mpJvGNuGbOnWuEexH6na6joo2UWnw+nymR4bQaSn2g994zgqFToynxmgJ3EhZnTR2JLXRuCE7NoAjbTit0dpuG9N/vN2NmN5jc4Yy/le9Sq2nbNq7ttDQWys0OFSsy+cqJE1TkrF5NK96OHVyzPp99FxYWxQyfAxiSyzkLtNbtAn+vAIBSKhTAewCuBNACwO+VUi0KtacFjNxokeyX4oUjn51hCU4+zCkUyj42aBD/Bg6kQBYWZpTMcXFUFv/wAwWw8+fJJ61ZwxI1//sfUL48aeiDD1LoW78e+PxzumYuWUL3+B07SJt37WIpqBUryG+88ALzGYSHkwfq2NGE5kg/JVu3uJO+/bZR4Do9OtxWvbzAulpaAIUo4Cml6iil5iqlNiqlNiilnghyTrYaquIEJ4PsjK8DTGyVQAJmJc5LFqcIOh4PCcann1LIueYanjd+vKkbJ6nSMzLM4vf5KFRs3842mzalAJSYSKFDhJGKFek//v77JFh+P/Dcc3SPjI8n8XniCTKLY8eyrQkTeN5DD1HTNXUqkzeEh7OvZcrQKpCSQgHpnXcYCzRuHFOzv/ceBaLf/964HXToQGH08cd5fdu2vP+6dSSIb73F+6ekUAhTin2cNIlC06uvUpAsU4bC2IIF1LylpFDwffNNjsnEiSZhigRWP/oo34nHwzENC6NVsWVL9mn+fI6538/rOnVi+y1amAQ2Ph//S33ClBRuDl4vx71rVz73ggV0GfV6eY5Y+GbPpqUToJAkwpIIjk6BT6xoYvUKDzfaPaf1z1nnx/nnFKxEETBhQlalhFiFpD8Sb+hM+uK0/jnj95zt5MWqJ8LdN98Uz0QrxZU2Oa14jz9O4W7rVtaXrFyZ9fCyw+nT5n2ULcuYkzNnKPQtXUpGRgL6LSwsih5a6/kATl7EpV0AbNda79RapwH4CsDQAu1cISI365LsO1KqCDAKsDVrzN7jDGFw7lsS/z1jBv/GjDH73QsvUBi76SaGkkiM8pQp5DvGjycP9eab5JGefZbC3bRpVJ537crrQ0OZjOXIEe7XjRqRf2nZkn34y1/Ia2VkmBJPy5dzXxdFtPADs2eTD3n8cZPF3DkOFxtjZ4U7i8K04PkBPK21bgGgG4AR2WiZLtBQFSZy04S4j0vMlTNLobOGm9PKIWUKAMN8iyVk8GBzTWIihQLABN6OGsXznXF9P/9MRi0xkYLPpEnA9deT8E2dyv+dOgEvvUQN0eLFtCqdPEn3g2++4fE33mBMXkYGiczs2SRMw4cb61izZiRk4eE8v21bEr3QUP7FxlLTVacOGUataan6+msW9mzThvFCrVrxeHg4hVevl30aOJDP2q4drV1CxMLDeaxHD1r0tmwhsdu7l+6PPh+DmjMySJSvuYZCm7jESsF1sXhNmUIiKZuDCHzh4XyOZ5/l9T4fM2h++y0F3m+/pXC3cSOfff16o4Fr3pxEOiODG0DHjhy3ESNMDUO/n/+HDeMYt21LLZ8khRFNY0YGx3HUKFpFJQOmU3iLizPF650aP/kvFjIRDN1z1us1MX2SeVXmoghcK1dm1RKKAuPtt02bslkuXmzmbnz8hTX8nPePi+Om1a8frYzZxQcUMYodbXJrXKOiaJ2ePJlrbccOFs9VKve2zp7luG/ZQrfO6GiurzVrgrvkWlhYFFt0V0qtUUpNVUoFAhNQG8A+xzn7A79dAKXUMKVUolIq8ZgE8RYxcrIuOT1InLXfJNzBGQ7iDH9xCozi/hgeTgvenXdSWfbkk0xeNXYsz/n3v7kfV67M/X/4cMbPDRxIzxix4D33HPmO668nL/PYY2x73jwq1u65h/zYggV045QkbKtXs/+dOplncSv74+KM15aUg3LmchD+0XpfWFwMCk3A01of0lqvDHw+C2ATsiFClwt50Rw507v7fGT+fT7DcAuzHh9vLGtTp5oC1v37m+QaQNZsiBIIHBdHwiNxMRJ3N2MGBZPZs2mB6d+fLgH16pHwXHcdBcXFi1lI8913SVSuvpquAWLFGzEC2L2bGqErrqCg0bEj752WRkvYF1/QLaFNGzKAjz3Gczt25Pnbt/NeIhh16AD89a+0Cj7wAH9/+GH+TZvGPteoQatWWhqJ2M8/k2gOG8bna9eOfXzhBbb59NMcB4+H9/3wQ1P0/NVXaW0bPJhtXnMNBQZ5d1u3Ar/+SiIrBUTfeotjI7F0Uofu/fcZw/frr+yHFGDv3x/YuZPj+vbb1Nw54wE/+IAauzJlaLUbMoQaOnlGr9eUP5g3j9csXcpz16yhRjAy0lhiAT7PFVfQ8im+/wkJpkahZPMU1wypjyPWPqf1ePhw/l+wIGusXnw8++T308I5fLg5JvO5Qwczz51xgm3b8jenNckZyO3OTgqY5DNS9F7W0q+/Fk9hojjSJiArw3P8ONfH7NmcrzVq8HetyZDkhJAQru2ICLazbx810jVq8D1bza6FRYnASgD1tNZtAbwL4Kf8NqC1/lBr3Ulr3alqTj7elxnZCXfOMAH3eamp3M98PhN7J/uSeEzJeQkJ5LMkOUrjxjx340aTx6BtW+5hXbsyt0BGBj0djh8nv7VlC90u33vP8HGSjK5lSwqI0q4ouYcPp0DXpQuF0ago7vnSryefpJAosfAi5Iml0vlMctzG01lcLC5LDJ5SKhZAewBLgxwOpqFyX18gWqjc/JKd5n3JcjR2rLGieDxGeIiLM9aYn34yi9bjMZY+v58EZvp0Cm9pacbVUtwKn3uO7Tz6KC1ufj+Zc0lxfu+9vDYjg8LE/Pm0tLVw2BukL+LeOH06v6emkrGbOJGxb2vXso2bbiLRatCA95Isle+8Q03/5s10+9y2jUKLEL6//IX3bd+e91i7loTnuutoubv/flqvOnemMDR0KAWPTZuMO+ayZbz/88+TkE2dSuL61FO8z4MP0o3zk084FuJOOXUqhaAnnjDxZUuX0lVV/OP9fgq2UlB09my+n507KaT94x8UmPv0oXBctarJqrVihck2umcPGelmzYxQLmUYBg7k9y5d+F2KxGdkcDxSUjjeaWkcA7HaTZ1q4jAnTjTxfz4frxHByylAde/OdzJ7Nj8nJLB/kp1VYgE7dzblHOLjee+EBJNlNTLS1PV76y2OW9u2FCDE7TghwSgo3EXinetFtI/OzSYjg8Lc99/zdxE2Y2KKvzBxqbQp0EaBaslTU6nsGDyYa/HwYc5hwclcnLoyMzl/O3UyiYX8fq75KVMuzOprYWFR/KC1PqO19gU+TwEQppSKBnAAQB3HqTGB30oExAPFjdz4M1FEyl4nSsvp07lPSsz77NncAwF62gwbRl7E66UiuWtXKmTT0sgHzJjBc/v1Y1KVP/yBCuHGjcnrtGpFAW7sWOOV89FH3HevuoplFerXp6K7Z096W3ToQBruVNz6/eSVhJ+UbNnORCrZJfSz8XQWF4NCnzJKqUgA3wMYpbU+4zosGiqfUuoqUEPV2N2G1vpDAB8CQKdOnfSl9Ce3ReI+7sywlJRE4WPQIB4LDTVBvE6LXe/evGb2bAo07dqZ9qQQZ8+eFIa6d+fi/eEHCjrz55skJOPGkfnPzCSRksyMPh/7IcLDhAn0AZ88mQRq40Za5N5/nwJZ/fq0Ru3bR7/xFSuYFKVvXxKhpk1pJWzXjm22acO+nT9Pxv3VV9nm/ffzue66i/07f54Cw8cfkwB+/TXdIT7/nMLRzz/TrWzUKApYGzdS0BTBZ+pUujE0a2Zqx3zyibEirVnD5580if30+YDXX6eAEhNDgXjpUloqr77ajLEwsyNGGMvrokVs7847aTnt399ksuzale1Mm0ZB8YUX+D4kq+g77/D9xsdToNu+na6e11zDMX//fY5HRgbnwpAh3EBEiwjQxVMSmowaxT5OmQL8+CMzbDkhLhpeLzcK+Z6RwTalALlkJxWhzp0lU+ajcwPxevn+V67kWMq8dWoUnW6Xs2YZxQXAd9SpEz/Pncu527cv5/Vbb/H3d96hW+vevcVbkCgI2gQULH0CTAye10sGonp1uj+fPZu/dtau5TXR0VxTEn8nJUUsLCyKL5RSNQAc0VprpVQXUCF/AkASgMZKqfqgYHcbgNuLrKP5gAg7q1dTweh24Q/Gn4kwJ/uXKBl79TKZrnv2zFr0XNoaMMAkFAMo4L3/PvenMmWoEH/rLe7bCQnkCbQ2oRedOpF3kkRsq1dT+Nuxgx4R8fH8v2sXw1iWLCGvJl5D48aRv5KkeG3aGH4yLs5k35Z9PZhSNbtxsbDIDYVqwVNKhYEM1H+11j+4j+egoSoyCFGQhSZucUlJtDo9/DDPE8uOEB0J+BUryowZFByEuQ4Pp/A1YgRTns+aRQ2QlAoYOpQEYMUKMut+P4W2jRspfD3zDK18kybRYrhrF60+Q4aQGZRA34EDTd8ldmzSJApTNWsCf/oTmfuUFDLodevye8uWZNbfeotChcS4DRlCP/S77yahe+YZ3htgHN+YMbS6iUaucmVq2YYMoQBUrRoJ8JYtJHQJCbSqTZ5Mote0KYXINWtIQHfupBA1ZAj7sXEjn6FtWyam8flIzJ99lto1pShgeL10ZQNIZEeM4H+/n+OakUE3zhdeoNDt9/N+r79OgattW97r7FmO5+23mxqAixZR+BP30fffp+bv6qtJ1CVz5erVFOy8XvZJhKarruK4eTzGBViS6owebTamd95hGzKWkgRGNjdJJOPc7KSuXni4uQYwdftkTs6YYeJJn3uOriKRkWbeylx2ZvRyZ44FOGbPP89jolX0erlZR0Xx+Vu1Yj+vv77YxuAVa9okGdbENWfmzPwLd4CJxTt+HDh6lBk2RZEhGmULC4uigVLqSwCLATRVSu1XSj2glBqulAo43+NmAOuVUmsAjANwmyb8AEYCmA66l3+jtd5QFM+QX3g8VE4GE+7cEP7r7bcNvZLrJdZb4sEnTjSKyf79zX4omah9PtLBF16g4BUezvNSU8mL/Pgj/0JD6WFUpgyTzr3wAs85fpzXffQRhbuYGPI/L73E0I4nnqCwOHky79u2LfmDxx8nX7FnD3nH8HAq/sVy16sXn8OZWCUvtNnSbou8oND0AkopBeATAJu01m9nc052GqpCQzDtiBtORnfFCuMuOXasSYTSq5cpCO73m4BfCfB9O/DEjz1GQSMlxdRJe+MNWqQGDCDReP99Clq7d9PilpFBoSMzk7FavXqRIA4cSALRsCHjbAAKKCIIDRvG/t51F8+/+moKh7/8QqtabCyFCEm40qoVLYFTplCw6tCBz7Z1K/sjKX7Xrydhy8ykxTIzk/fWmpayK66g0CUlIaRExObNbOfTT2nt8/nYjxYtKOS2aEEh+LvvTIbHWrUogNxyC5+3d28KJ5s20fp3990krkOHMsbooYf4zD17miybYnWVMY+LI+HdsoVCx4ABFEQWL+az1KljNG+SRWvjRpP4ZupUjuFbb7HdJUvY17g4CqMAhXVnsfRx49jehAl8ntRU4766fLkRiidM4PwKDeXz9erFPowcyWOSjGfQIJNRS+ZoUpKx6sbFsW9vv20Ee7EYpqayTMTq1eyLx2OsfqGhxiLnjBMUwXLAABM/mpHB8996i2MsAuD06Xx257qaNYvz5pprip/2sbjSJoEzvhHgO+7dm2VLNm/OX1vyjk6c4HqdMcMkPrKwsCg6aK1/n8vx8QDGZ3NsCoApwY4Vd2TniuiE8F+hocabwRmX58yaKaEIAPe/p57iPiqK1Acf5H6fmMj9aMgQk/fgX/8ir7R5s4lP9njIk/l8dI8fMoRC3Xvv0Xvn0CHut2FhLCMlGcLXrOE+vTTg7D9vHvfSZ581IT9OrxspoeQsmZSaypAT2X+DQeLzrdumRW4ozOnRE8BdANYppVYHfvsDgLoAoLWeCGqoHlFK+QGkIKChKqwOiUY8rwujf/+sFhSvl9d3786FKVkJnYwwwO/ililxWo8+Sre/a64xiTdmzaKm6K67KAx8+CEZ8759jbAkhO3qq0lcGjWim4EkZVm0iJqhzp1pYcvMZN/On6fgc/Ag7/3OOxSYtKbrVmIiP2/fzv/VqjGJSocOtIxJEpJff+Vz1KzJtiThw7x5zDz1xRfGfXD0aH7evZv9TUujW+if/0yX0CefpNUqKooEbuVKWhebNuX5u3dTeJV3M2cOn2HbNvrFf/01GdMRI3j822+BcuV4b6+Xwu7HH5OgP/kkx+D77+mW6nYP7dqVY/Dww3yW776jQDtyJAl5jx5GULzySr7zpUuNQCSCVc+eFMQef5x9GjOGAnTz5kZYPn6cfvqvvmqEvHfe4XM1bMgxEWEPMDUBpc1x43hO794UVCMj2Yc77qBL6/r1HOtBg7i5Acb9VP5uu41tiNa0Vy8+d9eutC4OHWq0nrIJzZ3Le0rdPucGK5k3H3yQz5SYSMte//6cl2vWUKFQTDegYkeb3BAmZuBAWp4//pjKj/wKeIKDB1mwt3dvunz26FGw/bWwsLAoSDiV5k5I+QCJ9QZ4js9HhajfT2V806bcFyW+PiPDxM5LmIIIdY8+Sq+cqVO5F950E3mHrl3JM4SGco8rV468yKhRLAu1Y4epqSdKclH0JiSYJHqC8HCThd2psHV+bt8++33zUksnWPy2oC4jz1Ig6NSpk05MTMz3dWK5c/8Pdo64WQJZ44/cZnGxmLRqReZ57FjjGtirF12htm41RbpTUsj8/vOfJEgTJjCubcUKMvpbt5qMneK+WLEi2xozhkz6yy+TiX73XQoeDzxgChoDDOLt14/CgVIUKMPDSZwSEylM7t3LWLRPPqHgc+wYCVl4OP9GjOCzffgh+7xtGxn2X35h5qgdO4wm7KOPaEWbM4eWSYm3EwF03z5a3CRjZ6tWFBolZi4tjUzse+9RIJgxg8lfnn7axBu+9x6F1gce4DVbttBNVIKkFy/OWiD+2mtp3YqPN1kzn3qKVsOUFD6LUnRLjYwkA/3hh8B//kOiv3w52xs1iu/y9Gn+3rMnGePnnzdWrF9+4X2vvJJ9l/ES69/kyRzTpUv5zp98kv+nTOG5ffsaq26LFrxvWhqfsV07unceP05La+vWTMn8ySfGvXLHDlo1P/qIm5cIZ7NncywGDTLxCiKwAlQuZGRQwygxCs4yH87N1RnD4FRi+Hwc+/bt+XzObGFJSXzHs2czBiw3KKVWaK075X5m8cbF0icnnFl309IYMzp/Pt2f9+3jXMgvmjWj4sDj4Zw4ftwwMpZRsLDIGaWBPhUEbboU5MV7ynmOc69x/y6CjijrpZ5sy5bc/30+0k3xLJFyRRMm0Gq3ZInhGQYO5P57++3kAW67jZ4+V1/NfS8zk4rwkyep0P7vf6nk3r6dvNSzz5IfkHwMq1dzb7/ySqMIbd6cfMAVV3C/dz6H7M/z5uUs1Dqf39JsC0FOtOmyZNEsarjT7/r9F2aSc5ZIEIuF0yrnbMNdkFgSXLRuTUZM/KnFbXLJEpMa/5//pJuix2OsdvPnUwiMj6emvk0bujb+/DMtNR4PGbTPPiOxycigANSiBYXDnTtJyIYMoQXQ6yWBEiFk9Woy4ffcQ1/wBx+kAOH3s3hy587A/v0Uvpo0oVvp2LHMItW1K5nAV16h5c/vZzxPWhrw4ot0pUxIoFAnwt3x4yRqPXsa62ZYGIlcaKgR7lau5DPNmcPnmjmTzx0SwnEaMYIuheLfHh5OIapFC1rrmjXjtUJQZdxTUylwZGTwObt2ZT8bNjTP0KwZ+9q3L4XoRx5hfwCObYcOfG+tWtHy+s03vK9koly+nM/5888mO+qaNcYKKAQ4MpKE/8UXuREI4e7Xj3155hn2t107U7snMpJzIzSUgtIf/8j3J9lFP/qI82XwYP7//HNaYTt25ByKj+fYy7NKchYptyBuqyIMSgxgQgLHw1k0XjYg2Ywk81dqqklgk5hoyjJMn27q7lWsaDei/ELGOD6e76hHDyojoqMp3G3YYBiE3BDioO6bN5taejt2sI3Jk4tnGQsLC4vShbyk+neXqQLMd2fN1blzjRu7/JaQYBK1paYaPkxCLG6/nd5PlSszXm/dOvI9P/7I8xs3Ji/34IPkkX76iTyL309eolEj49XzwAP0iOjYkfvejTdS6bvl/9g777CqruXvr805IAiKYkdFBUFQlCJ2VOy9pN80E1M0MZaYetNukpte1NgTjRqNMYmJRhN7RUVB6SBNQBBBERFBQQ7lsN8/Pq53Hf1pYhLxJubM8/AA5+y9V90z852ZNZPGb19f9ILSUgCllxdRNlFRROOYTCp7tTz6YDReCe6upZtaAl4rWelG6B/nwZN/W2YHtPTcWXosSksBOvJA8NUevsGDUcDvuovwQScnGI1Mnf/RR9y7eTMvuJ8fL7HM6mgwqAyOnToRe33+PN6psDCAXkiI8upERwvRsiVew2nTCG/s3h3v2K5dnLe7eJHSCl9/zXd+fjC0Hj1Q+Pz8sDw99hghna1bq+yVwcFY+cPD6UenTnjqduwgvPCxx1AM27QB5M2cyfhkls+4OMIso6JUOuAOHZhzGRuflgYQlllAJ08GWAUGqnIOffrglVq0SIg1a2C8u3czDzJbqLc3oG77dtYhK4u2EhNVzb/oaKx4EqSeO8c9cXE8y98fK5tcV+lt69dP7YMFC2D+JSUo2Dk5eBSF4LuHHmIebW2ZH5n5MyEBUCafv28fwiAsjHuDgwlpralBKGzejMf3k0+4fulSBIWDA/upQQPF4DdsYK+88oral6WlGAumT1d7et8+BeLkGYDiYvrfuTOfGwzK87Z9O/vMweHKd2PXriu9eXItZNjmli38bzAoS2SfPozljTduLNHK7WAhF+LmefDk7w8/FKKsjH1TWsoeLCn548+2sWFtzp1jz7VqxedWpcFKVro+3Q786e/gwbv6fJnUxSyN80JceUxARstIsLdvn8qdMHQon/30E8bzZs0AWdJbJgQyPzYWGdu8OffqOvJ48GCM3/PnY0zetAkd5LnnaHPPHvr78sv8DgggEik3V8nsgwfRCezsAImy3MOdd6o6wJLkOK4+SmT14FnpevRrvOkfs02ufjksFVjLc3Wy3lhICExAKsJXMxhZvFoWqJw3D8WpRw+AyaRJvOzV1Sjk8vqsLP6WZ7EOH8aztGgRwGTvXs6rPfgg4CcgAMW8spLQv6oqQiI3bgQU+frCOHSdEERvbyxQ995L/598EtBx4QLWf19fmM3ChSiOoaEwnd69ae+LL+hXTQ2Wp4wMvGr29oC0994DJCYlEdbg7IzSWFICEJw8GQA4ZQrhDOnpPGvyZBjqgQMA0pMnhbj7buYuMpKf9u0JU+3RQyUj8fYGKEdG0lZCAmfvNm5kPt99lz77+wPcDh6kPV9fAO4jj7AW27fjCRs2THlmDx+mz0ePAs42boThPvusOpPWqRN9WbaM+X7+ebWfnnpKlTIwmwn9mDQJD19VFX3t1UudjTSbmWfJ+GfOVHsqOZl1P3AAYTRqlCq/cXVosTxft2cPf/fpw1h8fflcjmnSJMBYeTlJaqZNYx5nzFCCR+5LmflThhlbnreT6ZzlYXCZfSw0FPBpZ6fAXnU1z5F9s9LvJ0vh7efHu3/6tBDffss+qlfvj2XVlM9LTRWiYUOVaVWG6lqVBitZyUq1RTfCX2QNViGuPG8mQZ4EPlIeShlcXa0Mj4MGqdBM6SEbMQLdQiYtkxkzZ81CHru7oxd0744u07Mn8tnRUfUtLQ2DWJcuPDs8nOujozlTX1GBHjdnDjLU1RXD8uDBeBR791ZG2HHjVLktIdS4JF2dJ8JSf/09eSSs9M+mf4wHT4jrvxxSWZUpa2XCiq1bufbgQeWdkCltzWbOR0nvyeHDKNryzFZ6OoygXz+YiI8Pz5w/n3Nwd95JCt7ycpKbyFT2aWl4tIxGFW7p7g5gyMoiNCAvjzjwrCys8P37M64xY1C2/fwoSp6bi8WqRQs8jP/9LyEKEREArLw8PIKjR9OWDOlKSSH8MC+PEMnMTEoLnD+PgikTqOTmwvBiY+m/wQBT03UyXI4dqw4nb99OWGJUFIDp5EmUytWrAbG6TptvvEEIROPGMOSRI2lnxAh1ti80VIhGjQB0Dz8MuN64kTVYv54+xcURluHsTF8lsJo3T4VETJvG/BYXc31JCWC6a1cVtrhtG4etZUx+dTXMu2VL7g0IYM5liKLJRDKLJk0oMr9mDWsvk5X8/DOerfnzme9OnQCC6ekIhvBwFWrq5KRKLWzZokJE5F6VXsekJPaaBIS7diGgZFHWpCTacXBQHj2ZIEUmjpEeutLSK+v3yfdkyxb6Jc8CHj2qQk9kiQSTSZ1JNZuZ9xs943U7WMiFuLlWchnyeuYMPMTZWWWb/TNkMLBeHTpguMjOvvKssZWsZKUr6XbgT7XtwbtZniVLPU1mmrQEeUIg4yorkT/SmyYjTYxG+KY8Xy69df7+/J2aik5lMKBvdezI77FjidDp2JE2jx1D77KxwWg+fLhKdOfsrADbY48RzVNVhT7y4YeAveHDVbZwGcElhKq517Mn98ls15YOBznePzrPV19j9QDevvSPP4MnScZtW3riLEmWODAYYAw//aQs3DL0LDgYIGdnpxKJNGjAZwcP8r2zMy74fv34zM8PZiEETCYxEeYzdCgMYM8efmbPxtP28894we6/X4g77sAblpsLKFy1CuvPa69xnazzcuoUz//xR+VF+/BDQim9vABcnTsDHnftAohpGn1MSoKhRUSg9JWUAMLGjOFcXFoagGvAAKxPHh7q3JyTE4Dm9GlCLH18YJ5CqLC9oCCYWPfuAEyzGRC2bRtzc/Kkqhu4fz9MtGtXIS5dokh7TQ3z7eDA2N98kzn+6ivaHzBA1bobN441mDUL8LhiBeNbtYpxd+6MZe7pp1mbrVsJr2jfnuf36EGK5I8+YoxmMwzeYGAuZF253FzGaWfHPXL9Fi8WYuJEldhm0iT6d+AA3rw5c1S8/TPP0OaUKYR1zJ8PWA4JQQgFBysDwnffAZY2bVIlOqqrGZsse7FvH58NHsy8hITw/Oef5zMJHO3tsXzKdMwyo5f05JnNzMuHHwLsSkvVWnbujICaOZMxZmWpcxJGI8J26FCesX699YzXn6UePZjfQYPwmLu4YLD5IyTP7vXvjwJy6RLGFH9/q8C3kpWs9MfpWnkN/ihJPU0IFVUl5ZPMCh0SgvH3uecUOJJGqtJS9ByZBGzQIMDUkiVEU7m7o2MYDICymBgiIuR3b7zBtR4eGJ4nTUIPkRnPly1T0T8+PspYFhFBlMXIkYDFvDxku5MT+qCUofv20Z+DB2l/z54rQ0/79lXn3q83P1fP/dX/W57Zs/z/Rs5CWun2oX8MwLs6I5NUSmXMd3Aw38szUk5OKOwODryUpaUo7Dt3ooj7+6Os//ADnqc5czhXJwTPOnhQeYtCQmAECxbwv6yvIgT/JyeTKKVZM4CgjY0CF0ePKpApBMzF3p7Qw+HDVdrdKVNgDF5eMA8PD0BMfj6MZvRozotVVnLfY48B5BYsoO3Jk/Hy3Xsvf9etCyhMSgIING8OI1y9Gu+huzterZde4jt3d0Bgly70b/hw2oqMZE63bVPZKHfuVMXSq6u5tmFDmOq2bTw3JYUzZqdPA0ZTUvB2TptG31u0gMl+/z0hEmFhAMz4eOZ31izmIiyMBCtTpjAWIVj7RYu4rnNnwPbkyQgDyVh1HfDr4EBY6uDBAPPKStby/fdh1J06qUKq3t4A07vvBozHx7MHPvmE0Mf77sOyKGvkyXIZR44Atquq8Aja2zOPMkvr/v14X1u0UEBu+3b2iLc3eyA5WWVplYfShVBhknPmsBby+8hIBKd8JyzTLvfvz31+fio7Wf/+zIcUUEYjBoAFC1Tym1271PtVXs58lpbezLf4n0NSYYqKEuKdd3gHn3+ed6i8HAPO76XiYn5L3pKbi/FG1oSykpWsZKVbTdcCGxLIDRigjLhStkidTYgrsztbJvny8QFwydIDEREYp2UR8w4d1O/jxzEyu7py9r9nT+RxaSkGzi++4LrYWP7u04ejL19+iT5QXY3n75tvkN8ODjyzc2fAX3AwfFwIZKgQ6IeDBpF4TQjk5x9JonItwGbpyLj6/6u/s9LtTf+IZb5WaKa0kgihQi9lfRLJSGJjVejdzJl4LgYMQMmNiwNAhYejoFdWAsx27kThlXHghYWcd6uuhukIwcv8zjswp86dUeadnHhWx46AhuHD+f/SJQqFN2yIUhYRwRmc9HSeJetideoEc3rsMdo/coSzcw4OeJQiIiiH4OfH9x9/jPV+zhzCCcvLCfeUHjajkfsrKlTtvhYtAD7yTNb27YCx4cMBDAsXwnzt7PAu5ufzLFnvrWVLPFV33aXCLL/5BiA5aRKM9Y03SEfs6gpglAroSy8xpwYDzHHhQvpRWIhn0N5eJZI5dozzbAcP8uxvviGcolMn1m/7dsa2di1hslu3KiBkMLAesibc4cOArKlTmdsvvwTcN2gAcFu8mDnatIm5mT9fAVwHB4SB3D/V1dy3cSNg1t+f+RkyhP3z00/qDKgQKrvq/v148O64g3WQdXZ27lQlGYYMYZ5kiQd5BiEkhHY1TYVOGo20Y3kYXZ5dkGcWDAbmbMYMwLvJRJ8t97CsqyfvCwlRB99btMDzaqU/RtIiLQTrFxTE3ObnEyp94sSfe77kJwEBrKNMgiRDk61kJStZ6UbJ0oP2e+jXzpRZhhJaJrczm5V8M5lUFs3KSgWg5FEEkwk9QGY6l2GdOTkcY3nrLWS1kxPyevlyjmR06YJ8HDgQHU0amLdvx6gs9Q07O577/PO0lZREZM6IEap9GY558CB6WP/+ykgqxxcXR1tOTkpuX28urp73a83dr/1vBXf/HPpHLHV19ZUWIMlQJJgTAqYhX8aQEA7syqyHgwcDGJYu5SUdOBDrztKlgDx7ezxTHh6qTZMJZvDRRyj3QmDVmToVK/yyZTCbzExS5d91F1ae9HT6JL07eXn8fe4coDQgAG9T06aAFHd3nrttGwp1fDy/f/oJJbtnT66vrgbcbduG4p6Twxw0acJY16wBoDz4IAxwwgTavuMOFVI4bBgM7csvVfIWmaDGxgYvUmws45UgpVcvGGF2Ns+5807aO3+esIe776ZfO3YwztGjAVX79hEOsW4d6+DgAKibPFl5G/LyeL48S3fgAHOakEC/kpN59nvvkQkzN5fvlyzBWzpgAHO1Zg0MXdYezMiAqe/axXx36UJ7y5ezxpWVtPnJJ4xV9ic8HC+u9Lb27Us/fviB0NHkZO6TRdcDAwkd7dtXgeToaJXEZN48wh379bvyQHZoKMJGCEItZX27gQMZQ58+SuAJwZo9+yx9OXqU9qTxQogrs3vKzLDyTJ2XFwIrNhawKUNDZ8+mv3XqsH+lQNq3D69iZSUZWm8kg6aVrk2SNxUW8s44OLAueXnM7cmTf/zZBQU8y82N9TabMRiMGWNVAKxkJSv9fvo1vvF7AIr0RlkCP8tIq337kFfyKEZNDXrY0qUq6ZjM7rx+PWArKQmZ+cUX6BBeXiSBGzAAw+jw4bT53HNKF2jSBF5rZ6eS0/3wA7qPpqni6TLZ2Jw5qjbviy/y3IQEDMsREfRLGtDkMSB7e0I6+/VDf+jWTZ2zF0IZ+ayJVaz0R+i2D9GUHgXLs0DSbS/d/JL27VMhlPHxSvEpLeWFnzYN5XvPHl7g0lLCAmU2J5lmvmtXFd758894V3bsIESytBQG0K4dgOPDD2FWb78NqHr9db6TCvzw4TCBRo1gPq+/Dthr0oQ+3nMPzKpdOxhTZCSK38CBeMyCggBtjRrBbAoLSf5RXU3IYX4+DNLHByDk6Ih3YNs2lD17ewBXYiL9luUCWrRAIdy/Hy9PaSkgqksXQE79+lzTvbsQr77Kc1JTYchRUYQjpqcDomJjmbfz52HIBw4wry+8oPrt70+fP/4YYCUEYMvVled/+inPkFkhlyzhOYMGcV7x+HGAh8EAKBwxAmbt5YX3cPBgvKW//MJ5PLMZT5vZDGMWgjnesgUQ5upK/378kcKoCxeyr2TI5dq1hGWWl6t+pafj6ZN76vXXAbwvvshei4oCDAsBQ5f19aR1cPdu9lrPnvQhJoYQyfx8rre3V2cSJOCSIcJSMDz5JF7HXr24btgwdV7vwAH2x4MP0p+wMIRh48YInogIBI/RSLjLa68BHIXgc5mx02Cg3ZMnrWfw/ixVV8N7nnsOo4TRyPv6Z8CdfG5VFe/b0KHsgcRE69kMK1nJSjeXfuvc19XgTh4vsDTKy2yaTk4qE7Y8yiAE4GjmTECXjCQaORK9YNAgDLVmM0CqXz/0m2PH+JH5APr3R7b26oXMHzqUaCJ/f4y+w4cTYdS4MTLuwQcBf9I75++P7icjV+zs0AvHjOGazz9XZ9UlON2+nfFFRKCDSVk/eLACd78WVvl7ztRZefs/j257gCdrjshCz7KIsPTqCcGLM2wYP/3746G6915CGM+exZNSXs5LXF3Ni//JJyi9U6fyjOho7j96FEtOejrg5uBB/m/UiHDAL77gxR05Eobx5pso6rm5hAuMGYOitXAhoQDp6Vjra2rw/Jw5A4NKSYEh3HsvbaamogjWr4/itmkTACEqCuZ19ixWKFmgfOZM+h8QoOrx3XknDGr8eCxXd93FfWYzyV8GDiSZy4ABAAV7e56XkwPQ8fLCM9WqFcCkTRv6JgRgzGAgBNVgwHvl5aXCP4cO5XxfRgaWuFatAKeOjii2K1fyjNxcFRbRqBEAecoUFN6YGECZnx9r16IF85iaigCIjQUsdu/O3LdoQR9eeIED1hKgp6TQhlybBx5gfMnJ9CsqirDX8eM5S9izJ3N76JCqd/PBBzzbbKZGXu/etLdyJUBxxw5A1Y8/Mq8NGihv8I4dMHxdV/UUhVBGh/37VZIWHx8Aoo8Pe3PPHlVLr6SEPVFYiDBZu1YlYhHiyoPX8hzekSNqbcvL2SuFhQinnj0RTDt2ACxlhrIdO/i8f3/6aDbzLJvbnrvUPslwnfHjsQT7+fFO3AxLbkkJPx4eGG+aN7cqAVaykpVuLv3ec1+W58WkbBow4MpoEPn9mDHoMgkJ/G9vj44RFoasnD8fY2RREbL38ceR6Z6e6B729sjd1q25PzAQQKjryPMlS5DR992HXpKZSdSKnx+6X3i4Kqo+ZIjKiyAE8vLLL+lHZCRgLyxMjcnyKEVlJdE8772nwjSFUDL6euDuRufWmlzln0n/CBXMMo5bnrOTWZksN71kGlOnorgvW4Y3q0MHXt7ycjxzGzcCHCQo2LGD77KyUJZOnuSs2bZtMJiNG/EgtWlDchRbWz5PTOS+wEDO5N1xhzqXdewYnpn774d51dQA3po1Q+GWteuaN+f/jAxAQmamSrvbogWANj8fZfvMGc7YNW8OEzt2jFAD2fdp07Do162Lh+qRR7i/a1c8OV26AJYyMwEvrq4Avnr1GJOmwVyFIIS0VSsA6qxZMNSaGoBily70+fBhQJe7O8Bt1izm/uWXAcvZ2TDSu+8GwGRmqtTJpaUUc//hBzya/furOnAGA0zW3R0mbWPDHNvZ0YdevQDk7u6ANhmGMXIk6+fnh+L71lu01bw5QDI4GG9lUBD194KDAUOvvw5TLi1lzTt0QBh89BEeQTc3vGb5+cypkxN7wcmJUgXbt6uzmzt38pyICPblzp0YGObN4wzgkiXsj86dAWOyNMUrrwDqhWAeZKKZCxfo3yOPYAyQ6aLt7dU51O3bVXbQo0d5P3buxMspzxROnUqfdu5EGHl7qwKucXEASyGUZ7i62noG72aQPHeyf79KIlBayjt6M6iqijbq1OHZn35q9bpayUpWurl0rRDMq8nSe2f5v+X1MoGYJY+yt0f3kBmnHRxU1szOnTkekZ1NBFVsLPc88wzyt2NHZHV4OPJy3Tr0uRMnAICtWgnx6KPoZ/ffT1vt2qFrff45xuKBA1XyM3t79Kh9+5CpTzzBdb16XXm+2d4ew7LMADp0KEDUMoriRj13NwKcrclV/pl02wM86d6XYWrSyiMtQtKLJ9PBy/C/AQNUVsj0dJ6Tmko437FjqtZcaqo6c/XYY3izhg4FCGzbxnceHnjCLl1CEU9NRfmVHrbCQkDA9OkobjY2gL2+fWn73nvpq6srQOPsWaxOAwagmNXUwHRatQKszJqFZat+fT6XqX29va+syebrC/CaPp3npKXRxsSJtLFihaqfVl4OI0xLwzslz3dVV3Nvp04kK/nhBxRFR0cyTWZnk7xFFiY/dUqVZ2jWjLEmJQGo7rgDpvjee8z9hx9SDkEIGN+lSzBoGxvGGRLC9Xl5tHX0KKDKYGDun3wSEDdxIusycSL9+eILPJbTp/N/ixasmY8Pzy8pATx26wa4HjmSNevalXuzswmRnTWLdMjFxQDMjAwh/vMf1uvFF+nDvHn048wZxmVnp7J5Hj3KfmzblrXs2JFxysQ43brxeZcugLLGjenzkCHcbzarEJFPPuHv3r25396eun2vvcY8rlmDkJFtC6FCOYcN43dkJN7Q0FCVZVQIBJYQANq4OPooa//JMg92diqbWIcOAMFLl6wWwz9Dlrxr6FDW8vXX2acyhPvPkqMjwN1sZn9NnWpVAqxkJSvVDl2dsl/+CHH97I9CKFB34AByMTRURWQJgXzctg29y9cXMDV9OpEPw4bRRkoK+tbZsxguo6ORW9OmEZI5YwZRSzLhWv/+HDvYswcj79dfI5eNRvSK//4XeSiNmmYzusDBg8jORYtURm5JVyeisRyX1EdvJCHK1ZmvrzXP17rHSv8suu0BnnwRLItkXis7008/qYxMsi7JgQN4MV54ges6dcJy8+ST3Pv664Cmvn3xfM2fD1BbuZIXvGVL7nvvPUBEVBSeKhsbQgW6d+fzp5/GQr9kCQDr3DkYV+vWgL81a+hbURG/c3I4i7Z0KZ4hgwEGo+v0R9NgYsePA1jmzQNYyvHt3k3YwdmzhO199RXho8OG0ceVKwFAzZsD3lJSaCsxkb7JMMh27ZiHzEyYW34+Pz16EAYxZgxzMGAAfbpwQSVxWLKE+ydMoBSC0cgzNY2++PnhoZKFwFNTYerffUfIpKzt99BDzMdzz3FPTAxMe+xYANfLLwNUIyNZ12HDmPt58wAhKSkwXZOJcd9zD9a7Bx6g/aAg5rdnTxXbX1CgshiuWUPyFVka4KmnmIMFC1ibZ5+lvX//m7VYsQJDQK9eqtB4TQ3rMHw4c9K3L2sUHc0+SEoCuFVXYxnctk2dD+zXT2VNlZlMg4JQ2gMC8GCGhwMK5HxKAVZdjbVSCMYlyyY4OdHP2FjWRSbaMRrZs9Om0a4M0Y2KUoXS776b569axZlKa/r9P06WCs/u3eyFhAQiBOrVuzltlJWpv3/6CSPNzapnZSUrWclKlmQJ2nbtUtEjV5cIuDqqSvLBvn2VQcrymUOHIncGD8YQtmGDCof85RfkvIyi+uwz/pfRRuHh6B1HjiBLy8v5f88ejL2LFyPnKipUor1t2/DwzZypPIG9e3OGrrIS4+q0aeiLMumcjJIRQoE6CdIsw1Itx389kvdf6zprOKaVJN32AE8CNUvX/tWb38kJcNagAS59SZZx3598gsK7cSMvcVERir4QXNOyJYzCZMKr8frrMJSaGtL0t2oFs9B1mNPrr8MIDAae1bAhDETTAH0jR6L0z5kDcJG17374AdCwZQtepNRULO81NTCRmho8TG+9xb3jxpE0JCkJxnToEO327QvAcXSkvx99xL0lJVw/Zgxep549GYfsV1AQIDQ2VgG79u1ROGUYZVoa4LC4GIB68iTA5bHHmN+6dfFCBQURGjpsGONzdFRJZDIyCIN84AGVkTE/H+AWGYlnU9a2SUjAsyYLv/fujbepbVsApMnE/H/5JSG2c+eqvru4wHjnzqWvaWmM18kJJu3ujqcuO5v5CQrCiztuHP04dEiVqggOJhzj6FGAXkAAz2jWDOvfgAEAp9RUhIgEpZrGHt20CTBlb6/SLBsMgLJFiwBj0ms3bpwqm9G/P2EigYF4+6Ki6IuDA9ckJSmhKoutVlezPuvXM7Zx4/A+Tp2KBTQmRgmf3r1pOzQUL+aCBQivwkIEZVAQzwsNpd/9+5N4Rp6VtNIfJ8ssv0eO8A4PHgwfadXq5rWTlUXY9pgxfyzduZWsZCUr3QhJIDN4sEqYYknXAygyfDMkBF5lb38lr0pKQm7PmoXsCQnBoP7xx+hqNTVEBL3yCvLU2Rm+alkWqEsXcgH07YuOZTZz36lTyPMXX8Sg6+NDG3v30sbPP9OP8ePRbYxGZKH0zA0ejExesAC5GRqqkv3JcUnw91sAzTLpzO8pnWClfx5puqX/+G9AQUFBepSsGnmDJD12li9MdbXy6skXwWTiDIqnp8rWJEMIPvsMpf3AAZTq3FwYxYkTuPffew9QcvYsgO3553nGoUMAk3btAByZmbSVmwszOHMGb0eLFoAWHx8Vcunvj9esQwcsXYMH48GaOBEgtn49oG/zZhSztm3J8tSwIcq9ycQzg4PxENatqxKcHDhA/xo3pr/NmgGiTCb6FhUF4PX1ZfxDhtCHzEys/q6ujKu8nBp1p04RupqVBVh+9FE8n3Z2MDVnZ0JGjx0D2GRlMa5VqwAE06Ypi9mCBYyluJj+3X03ffzkE3XuLzAQQHLXXczT3XczZ/PmAQgzMkjCMncuoK2yEmB1xx0Amp49ATFFRcyVEAD0evXwDtrZMQeRkXhFw8MBsnfdxbM7dmQetmwBBL72GuBSnh+0syPhSGCgKpg6Zgzg8amnAHMvv8x+c3BAGB06hNdO1/F2FhQgiIxGPHf9+yuDQ3Exe+yjj7hHZuYcO1bF9ZeWKg+10QigNxjwvu3fz9h8fOjnsWOco2zXjr6fOIFgDAtDeLVuzRp99RVe0yVL8NR27aoKvgYEED7z0EMA6/few0PZuPFvv6OapkXruh70u17svyD9Ef50I2QysWfy81mXevVY35ycm9dG//6s2wMPXBnhYCUr/dPpduBPtcWb/ixdqxaeLCFgSZZ18IS4Uh4Koc6u9+yJDvGvfyFrO3RARxs4UNUsdnJCb5Dn9MrLMVrn5tKP/fsxkjs5YfT88EPO65vNRD9J2fbTT0QgTZ6sSkCZzehtzz9Pv6TuaW8P/16+HL1q4ED0Cgn0PvtM5U+w1Fl/LcGKlaz0a7zptt8iV78Ie/eihM6fj8IaGam8G/b2MITPP8eSU1yMgt25M583aMB1PXvCTD76CEvS3r2ABnd3rDY7d8IYevQgZK5HD0DD7t0AqS5dCNuLjMTzpOvca28PkEpJ4ZkdO/LciAisPvn5gLctW2BSp0/zDCFgGHffzf3du+PVys4GWJ07R2jC4cOAvNJSQN/BgxwcXrcOQLFhA6ClWTM8OklJKJL799O2DDt1cMDa9dZbMLFNm/ju7Nkr///mG+Z22jTCJEpLYZaZmXgi3dxI8iBLLvz0E0z2mWcAoA88gBczJgYvm68v4KOwUAGXNm0oMVFcDIDq1YuxDB7Muv30E4Bs1CjaefxxzkTGxgLcdu5UNXDOnYPBLl3KvsnNVZlGX3gB75udHWfODh0CLLVtSzs7d+K569+f9aupwTM3YAB9d3NjPrt0YWwODgr8zJrFegiBMOrdG2ExfTqfhYer4qiygOuBAwDJ6Gj2woULeCcNBkBocTEeXH9/dU5A1/EYyuQoWVkYCL74gj3drduVxbUXL+ae//wHq+aRI4SVxsYC6oWgT1OnKivkwoWAcC8v9l9h4Y0BPCtdn6RhKjWVPTtiBOvRsCEe6KKim9NORASKiY0Nz5W1L62KhJWsZKXaoqs9TtJDZVkDz95eecKqqwklnz0b+SaPHJjNgKawMIz0776LfiPP6YWHI/eOHUOOLVuGjtWtG4bgzZsxcDo4oEe98QaRSAUF6ASyhMKsWchGOzt0BwcH9CUh4JdCqLq1oaHI58REQODy5UQAyVp3lrkhJLiTcyKBr/TUWQI+K0+20o3QbR2iea0smX37qnIH+/erc0fbt8NIYmN50fr1A9yVl+PJmTdP1cMbMICXu08fQEznzjCBjAzAi7s7133xBWCpTRu8U6+8gpL8wQco8JGRuPxfegnFe+xYFGajEQtUVhb9lIqc9LYNGKAAyK5dWJbeeoszaWFhWKU2bMA76OoKo/L0BKzNnAnzcnBAWTx0iFjy48cBPvb2eAhDQgApW7cyzv798UZFRADkmjQBbBw8yG87O8bg7IxXITAQ0FFcDLDJzGTM0vv50ksAuJQUrGOLFhFyNngw/c7K4jnffANjnTaNeR4xgrGfO0cYq7s7HqN77iEM8rHHYKTduzOmiRNhwvHxzMvDD7PeZWX0q3lzwOfmzZRFOHCAdayuJnNWQACA9cgRwE58vGLaffsylqQk/p84ERDv48N9XbvynKQkhI+NjQq1++IL5lqei5Rhv199BfNfu5Y1nzNHhQ0fOkRftm7FipiaytoYDKpOj4MDoGrBApUx1N+f+3UdENq1K22MHMne6dePfRgSwjuxcCHfz5wJyFy7Fo+swQAolQJnzx7+r65mXN260f777yPQNK323/HbnSQPkwrA6NEYNPz9SS50s8CdEISIDx3KXr5ZSVysZCUr/XPpRuuzXX32TMoYyzrGMhJFZsru3BlAN2gQcjAhgXtDQjByfvophl1pXI2IIBrFywtj7YMPcv3LL6NveHpilPz5Z643mTAuP/KIKhskBIZiTeM5MipGRn8VF6s+HjjA8YWRI0ngcvgwuoGUmZLkGURLb6Rl6aLQUHV+7+oMolay0q/RbQ3wLA/0SrK3hyHMnMmLGRYGcIuJ4fu+fVXhyUmTAAoBAXwnM2mWlmLB+fZbFPAGDXiRCwu5zteX3zU1AIgvvoApyHIHnp6AvtBQPFjx8WRkkkXSjx0D/CQmAqZcXQE/Awei0B0/Dlho1QqA8+ijKNaTJ6uY9JEjCbnr0wcPS2wsyuGpUwCMXbvwFJ08CbiZNg2PoKMjYZOVlZQ66NyZ81ey/lrz5oQ+ynIAly7hDT13jjFHRfHM7Gza3rKFa3NzARNlZXirfvwRQPLhhzBjTeP7n38GeK5dC2A1mQhF3boVC1xVFUCySRPAS4sWhK0GBxO6VljIc2JjYbAvvggo8vWFyR45AhiRoZD29qxF06as6ccfA063beNembY4NpZ2fX1Zr3XrGO+oUaznhg3MT0WF2mulpQCtBx9kbh9/HMHh7w8YXLyYcNXHHyd01MWFuT9wgBCQwED2wrPPMi9hYfSjb1/q8kyZomoIdusGkO/eHfD8xBP0d+lSrg8KUsXiP/+cfZadzZ6aMQPw+OyzzM2MGapEg9GIIHvrLe6RJEGu2cw7MHs2grJdO6yUx4/jrWze/E+/xv9osuRh+/bxHoSF8b+r681ty9aWffrvf8PbevSwWoqtZCUr/TG6kWQfV2fVlIlXQkMV6JG1hiXQE0KdJd+zB6Pq/v3oDfv2cW9pKXrJ889jKJbJ59q0QV62bSvEq68iw+6+G5m4ciVtDx/Oufc6ddAxxo0jsd6XXyLrNE1lF7/jDvqzd68QFy8izwsL6Xu3bugQ0gNpMKgM2GFhKmpHhpxe6wye9FrKwu4yA7o1gYqVboT+EeLbMr5bJoMoL1feoLAwBcq2biWsb9QoXmhvb154mZji3DlexN69UWbffx/Q1qwZ4Yu+vpx7q6kBhJ0+jSJ+zz0ApZISgFZCAi/7jh2AlmHDAB/ffsuzR42irZYtYTry2rNn6U9iIoDAxgbvYrNmfNaqFdcIwXN//JHrjEaV/fHiRcDX99+jiHfvznMMBu6vXx/GFxdHSKezMyGazZvjqWvblrYaN2Yunn0W7+COHQAjZ2cAnbe3OkcXFweoio8HZJaWAkTs7BirjQ19e/ZZQMvXXwNmH30U8GU209bs2SigwcGEX3TqBOgZORKgOn8+VjI3Nzx7Tk60KcPbdJ2fnj1hvqWleKx27uSMnZsb6+/uDqOePJn9smIFgMXZGQD0yScIlg0b6HubNspLFx+v6sP16oXnUIadHDpEP1xcyJ5qNCJcPD25p0EDVSi9cWNVomHoUMbZqRPP6N6d/t9zjwoHqa5m/JWVCAMHB2UxFILn2tqqjJrTpyvA98QTfCbBhDx/V1mpyigcPqyEUc+eCNWAANYiIwOAmZLCPO3ejWAtLVWhzVb6YyT5lgz1eeAB9kFa2s1tp6qKd1RmRz10iP1nBXlWspKVfi/dSLKPq6+5VsKV8HDkqGUIo8yPsHWrOlPu4ECkkRAAvZkzFbjatQvZdeoUifKk1ywtDfB24ADyMS+P0E4ZtikE8rFTJ3QBKf+OHUPHmzmT63x9ka0ykYo0lMqkaSaTMr4PG4ZcDAtTzystpZ1nn712uQhJ1yqlYCUrXY9uaw+eEFdawKWFpGdPPCLFxTCC4GBebiH4fccdvIRPPYXHpbQUQBYeTo2zd9/Fq3HyJMknXF1R6seMgclMmAAwuu8+QNXq1Si8MrPT3Ll4yjZuBAilpfH8uDg8LY6OgJthw0g1//TThNalpwMwnn4a5lC3LiBQJtVo3RoPWl4ez6qpUef7PD1hWmlp9OPoUQU2z59XyT6OHWOeMjPx+Hh44C2zsaGNO+8E7MkMUo0bE0a5cCHzKRnkkCFXjmHiRKxP3t54/UpLubdFC/7OyGCuZ88m7PPoUc7pFRSwPra2rOOMGbT79desj65zFnLlSgC3tzfn5Y4c4RqZJauykucPGUI4hq7j2XviCfrdoAH9bduWeR4yBKB96BBz0r27OmRtMhFeW1TEHI8axdwmJTFf7dvTx65dER45OQBHIZRXzsMDoFpdzfrExODpLS6mr198AcDcuZM2ZPhwdDRth4fT1+7d+S4+Hm9pVpYSKrJOXY8erNeQIVgY7ex4TnU15wkqKthPBgP9DgvjuuXLGfPcucyDFEY7diDESkpUXT2DAS90bCz7JiWF31Zwd3Ooupo5njCBPSvPtN5satOGdhISOJ9iVSSsZCUr/VG60SLcln/L/6UXq1cv5M3VZa5kdM+uXfCs/v2RXXv2qCilV15BpsbHo5u88goRPwMH4rmbOJHP1qxBJq9Zgz43ZgxRXK+9hnw2m5HnKSnIz/vuQ9bm5xMJYzAg49eu5bky2Vzv3rQ/dSr9LS2l/4sWodcMG0ZEWUSEqkFqWexdjvf3zqmVrCTEPyiL5pYtvOR+fng8ZJhlVRWeDFnLS4YKLFrEC5+QALjx80Px3raNpBPffovyLr0c8hDtK6/w0t9/Py/7+PF4yh59FKBUUsLndeuq5CPl5XhpJKN48kmYUceOfF9QAJOoW1clP6iqwuPl6YlSfccdMKLPPsOaNHgw57maNuU+TeMZbm4wECcnvG6NGqHUxcXx7BMnUMo7doSRJSfjpfzoI1WgvVEjQEtREUBi5ky8VJoGs6qogJm5uzOO06dhms7OeLy+/BLvkzyjJRXVKVM4f9enD15ITSNk0daW/o4bBwOuqgKgSY/j4MH0VdMAzQUFrImrK+GfX3yB99FsBtAmJ6vCqE8+CbP+97/xXA4bBsi0teUZOTkAtnbtMAaMHAkAbNUKANmkCef6evUiHGT4cMBxs2aAdyEA1e3a8X+rVvQ9KgpPTHY217dvr4C8DBkODEQI7NnD2nh7s/eGD2cP79jBvm7dGuC7cCFjnD5dZdY0m9n3Hh6qaHxpKWs5fTpWw6eeAsD164egkW1GRxOiK8NDhFCCtbCQsM0RI3iur6/K/rVkCWvz5pu00779b7+jt0OWOiFqJ1Od5F9xcezbkhL4T07OlYXrbxb16sV7PmwY/OzqbHZWstI/jW4H/vRXyqJ5I1kgZa23AQP4WyYZkyUCQkPhhU5OV2bUtMy5UFiIbA8JQUews4OHvvYaupDRiHxatQowJo35TzyBXPPyAtStXo1hVoZvfvUV3584wd+NG3MUY8IEdJ5Jk9ANk5OVTvnccxxjmDULj6OMjqiuJkpLJrS6+kyiTLRi5cNWuhb9Gm+67T14kgwGAJXBgDetQQMU6i5dAHo9e/L5nDl4kCZNQjEPCEB5DQ5GWR04EDDn66vORCUnoxAtW8ZL++STKP6PPIJiXl0NGHB3RyGrU4f2H3qIcEkhUP7r1wdsLVsGsPvyS4BO9+5Yg8rKUOpsbQFrp08zpoYNuX/FCvpdpw5A6v77ASPp6YCeevX4XbcuwFAImMfevcxLcTFeoYICGN66dXinXn0VUHLxIgxt+HCY4syZgKCDB1XW0bp1VQmF9HRVn61nT7xOrVsT/teuHXPTurVivKtXM6a8PBUf36gRZ/2io/G4+fkxd7quslSmp/Pd5s3MX2Ag42nfnu9btgSkpKQwp3l5AJ9WrQjxaNuWtZ87F0thQAAWuCNHlPds0SJAYlwcAFOWmDAYUIiPHOE5Dg4Ih7176UtAAHMdEEDSFnt79k6PHoA7Wc8sKIhnBgfTN10nvHbPHvrs78/zZ89mX86dyz4cMACPXnU1hggfH4BeZaVKBOPlhTeutBRjwk8/ARYPH1YhsYmJCBVp5JB9MJsRRlu3MsfFxYSnvvEGntK77mI8r7yC53bhQto5fJj7rWcF/jyZTLwfzz0HfxkwgL1TUaFKfNxMkuVC7r/fqlRYyUq1RZqmLdc0rUDTtKPX+f5BTdMSNE1L1DTtkKZpfhbfZV/+PE7TtL8GartButGzeVcXAJfZoGV94p49AVl9+gD+ZCKSAwfUc2TOhc2bMaouWgR/q6lBb5Bhkv7+GDPPnwekJScDDu+9F/ndvj0ALCiINidNQk/77jv48pw5tDdoEH10cuLnuec4itKnD32ZO5fPZebPa9HVHk3ruTsr/VH6RwA8Gd5kb6+yDppMeC8MBpRiJye+mzmTl9TJiRc+OBiv0Ny5KPbbtqFQ9+2rlOKHHkIBq6zEymMwwDRkMe1GjVCop08nFLFZM4Cejw8A8dQpZaG5806UbE3jui++ALxNnw546tABL1SfPnhlVq6krMC//kW44/ff4wWrqAB0yOQszZoBDGStuebNub5lSwDjffcR7tmqFcClWzcY3IEDhCa0a8e1AwbgOWrUCCb52muEqjZtyhzExqLgp6XBUFesAFB88QVA1WAAtNrZAQzKygANQgBUhwzBi9SsGQw7IgKw+MwzgMsTJwC5BgP92rMH75MQjOnUKeaupEQly2nfHvDcsCHfvf66KhpuNuN5dXIC1EoGPmQIz2vThu/Wr6e/O3fSZyHUecTwcJ4TEIC3bP9+QOT8+ay7jQ1g+dVX6cvWrax9YCD/x8Sw1559FlC3eTMeVA8P1q5xY9aytJQ90rkzoM1opK9ffcWe7NgRwWRjQ182bGDfms0IQ7lHZUIceVbP3h4P4M6d7PVnnuH76dPZzzKT7IIFCLKOHXlHHnmE/fzqq8zbzz+rsNGnn2Z/WIXSnyOTiXkPDmYfCsH+EoJ3tKZGhZffTEpLI9QoP//mP9tKVrKSEEKIr4QQw3/l+ywhRH9d1zsLId4RQiy56vsBuq77/908i791Ns8y2Yr832hERoWF8X9pKWDN3x8ZL4QyInfrhnzfsAEZJg3wdeoQXeLkhLHdzg7D9IoVyPfevTmqYmeH0VqWiXrjDXIV+PoqYJaSgt4RE6OyUn/zDd6/q88TSg/jggVXjll69oRQOR6uRfLcnbzHSla6UbqtAZ58gQ4cUB66efNQloxGlOABA1BiCwtRsLdtQwHfuBGL0bZtKjPiM8+gdMuo1mnTCM+bNg1PlMGA4h0by/dTp6IYx8fDZP7zH66TBbAHDQII9OiBIhUYCCMpKFBZnxISAGK9e6NoN28O88rM5P9GjTir1rAhXq7770cBP3NG1bSrqeHH2ZnrZUIU6V18/HEYZmYmYQ8NGwK6Hn6Y0g26DsCQZRtyc3n2/v0w1KwsnjduHH2OjYVJnj9PW337ArCOHuW5jo6Mcf9+5qtJE8YyezZ/DxtGu23a8LzqagDSo4/CZEeNIna+Tx8AaatWzGVBgSrZIMNNKyth4v36MY82NsxpmzZ8d/gwALdFCzJXxsYSuvHNNzDo06dp/8gRwOTkydxfXk67dnYAKIMBkFNTw//NmrFX3nsPYeLmBvjUda7Zto32t29n3dPS8IDt3ctZNmfnKw9ZBwbi+XzvPfbU5s3MXVwc87huHe1mZTE3a9Ywjz4+tOHvr2rfrVqF50euh3xX1q9XXstevQCW06YhoOTZhS5dGPP48bT5zTeA+zNnAPvyfN/LL/NcmVnWSn+M7O2Vl1UIAF9aGsA/OxsDga3tzW+zuJj9LRUqK1nJSjeXdF3fL4S4bqETXdcP6bp+/vK/EUKIVrekY/8DsuQxMpJECPjdrl38GI3IuB078Nh5eBCZ0rMnukBkJHJr/35kpJ0dsnTyZKVHfP01cjcwEN2voAD55eqKLrBwIZEqjRsjMx96CIPooEH0IT6eNnQdWfjll+gUM2cSWWQwACr37UP2TZ2q6vbKM3YmE+PYvVvV6AsJUV6665VBkPNg5cdWulG6bQGeDAMQAoARGYkVRaZ6370bptCgAWe/oqNRsA0G/v75Z8DGypUo6EYjjOPpp1Gspk4F8P3nP4Sp7d7NS5uYiPUnOhogFBoKWBk6FGYhMxFmZsKcOnZEsY6MxBvi6YkXZMgQFLkdOzhvExoKw9q/H9Aka2BduoRXb+pUQk1lKN3DD3N/aSleofx8mNmkSSiEDRvCBDt25PmzZzMvVVXK+5WQAEM8eBBQpmkwM1dXAOuJE1jL2rZlHuVZv0aNUEirqgBMP/zAtefPKwbWpAnzEBrKvLi5cc5v507mXAjm/D//UaGLv/zCWLt0IZyzpIQxyHj88nIVpjFyJMD9yBGAyeLFCISgy7ZO6TmT4YhHjgB4CguJpa9XTxWvFwKL3cCBANUHHqCfUVEAQyGY5yee4LrUVLwfY8YAsrZvZ/yyDl6bNjx34EDG6ODAXmzenOsPHwaQ+vsDoNu1Y3+YzRgAWrdWnhtZXmLYMIwAmoZl8YEH2E+y8HmPHioRjSw8PnEiZyGLi5m3ESMAtK+9pkI6pXVUgtwff+T37NnM+bFjtKnrjGP5cuZWpvC3Fjn/82R5tiQsjHe2Xj0UlYKCK0tz3AySyQBOn2bf1UYyFytZyUq/ix4XQmy1+F8XQuzQNC1a07RJ/6M+/SG6OkRT1ne7FnAJCwP8yHPggwYh03r0wAg6ZQr6yaJFAC/5jKAg9ITHHiNEUuou7dtjFD1yhAib4mIik2R0V2AgctBgQB/Ys4dnyeRxPj70KSsLOT1hgsqSOXs2OojRCN9cuBD9YO5csmLv3MlZ6jlzkOWDBqnMmtJLV119ZTkIy/OEslyCNcmKlW6UbuskK1cfVjUaUVb27eMFt7VVCSaio7muc2cYytatuO4nTMBbkZuL4v/yy0oxP3CA5x09ipIlweNPP6GE79kDMDEY8Kg0bUo43dq1gKeyMhjVsWMAIRl2eO4cIOnUKX46dIAR5ecDADMylAfp1CkU+759YSReXijxEREArgYNYG7e3oQc5OXx/LIyQh6OHmXsspSCvT3gYNs25umFF2CeHToA8pKT8fhlZakin088ARApLuanuhrQd+4cc1y/Ps8uL1dWraIiarT1708svAzzLChQXsPvvycG/uhRxmFjQz/at+c827BhrFNgoDqcHBzMGTGzmXmQFr3Jk5nnmBgVH19RAej88kvCDC9e5LNLl1g/Dw/2x7JltPnVV/S7c2fq982eTRjIXXcByDw9AXdms6rDM2QIYN7TE0D1zjvMw3334fHctIk+x8VhiZw8mWe8+ip7ycEBRX74cLW3Pv6Y9Zw/n3Fv3YpBws6OOYyKAkB36MD8T5kCwC0r43kzZrCu48bRzyFDMAisWMF12dkk7Rk/njaLiwlteeABxvDYY3z+5ZeA85wc5n7GDIRTly549F55hbG0bfvb7+rtkMRAiNpPZGAyYfRxd8eIUFkJX6iNwuT16qH0yJIc0otoJSv906i2+JOmaW2FEJt0Xff9lWsGCCEWCSGCdV0/d/mzlrqu52ma1lQIsVMIMe2yR/DqeycJISYJIYSbm1vXEydO3Owh/CGyzIQpk6ZYGrJkYhEh/m/ylC1b0AkmTVKlmiQgmjEDvWDoUGRW27bIxfJyjK+6ju7SooVKcNemDdFBLVsiD+Pj0ZXuvht9p3NnFZly+DAyUAj0MBsbZPbixeoo0Esv8f2ePegm8fHw0YgIdcY9LOz6YE2WdpDzYC2LYKVfo39skhWp9Fsyk/BwQMUrr6C8f/45CvmTT/Iix8fjmZDJMpyd8W5MnYrCn5iIYn3gANenpgIQd+5E2T98mDNmug6DOn8eJuDoSFsLF8I8Dh0iG1PnzrR1//0oUd7eMAVNQ+GvVw+mU1MDuCgrw4LfoAFK3ttvo6jXrYuiFxurErY0aoSynpQEcIqLg7G1bs31S5fynKoqlPgmTQiB3L+f+erQgf63b4+VLCCANj/5BGAyeDChiIsWAZ6MRoDCpUsw02bNYGzSW3b4MAy5spJY90ce4fkuLoC6OnWYC4OBMXTtymejRtG/igqem5kJKElJwVM0ZAi/i4vxFo4bx/PKyhj3Y48RSrhlC4AnLEwB2qZNAXB5ecz17Nkw/MGDscK98ALzkZzMevz736oMga6zrjKj6AMP4FWMiWEPPf88QE56Lo8dwzhgZ6fOgR49inAoL+f/uXOVd3njRsBSQgJgWwi8guPHYxFcvJiMXJs2scfeeIP7evakzccf5355qDwwUJW7WLAA8Pv11zz7iSdYmxdfZPwhIer9WbKEvZ+UxDvj7MwYevZk7I8/znrt3Mmc/PwzfaqqsoaT1AZFRpKh9MIF9nFteknt7PCu79lz/dAhK1nJSrVDmqZ1EUJ8KYQYJ8GdEELoup53+XeBEOInIUT3a92v6/oSXdeDdF0PatKkya3o8g2RlC2W4M7SWyVBjQxblOfyqquJzpkyBblUWoq8XLAAOT14MLJn924A4MiRGEdTUzF+d++O/Pb1Rd9xciJS5uRJ9LGkJPhdfDx6io0Nsl9m4VyyhP+zsojmmjGDZ+g6/wcFKV5pNmOolZFiUqbK4uXXA22WGatrE9xZZfPtT7c1wLM8rFtcDLPo1g2Ft7oawCELTL/8Mi+kLFAdH48SbmfHy/jjj7zcnTtjudm3D0bh7Q2oePFFzkeFhvKZPHs3cCDMpGtX+jF0KEp8//54s6Ry/sADtFFRAYA5dgzGM3gw95aU8J2uE0JXUgI4OXoUl39aGh7GoCCYlJ0doMNgQAHcuRPQ5+jIHHh4wMgSEwEDPXuiOK5frwpUl5YyZzk5Kvzu8GG8jv7+AKh69VDk8/OxnMmQvj59lGczLg7rmKsrc5ebCxhJTaXfGRnMUefOAEiDAaBqYwNY+PRTvJVRUVjRiosZT7t2eN0++0x5wuLjsXrt2UM/goLweBQWAnbPnwcgOzoyBx4eKuzUxkal9t+3j/k8c4Z7MzJ41pgxALiJEwFgffvSDwcHGL0MXX3zTeb53nvx2uXn0+7u3cyFEFgQn3qKz4uKAKrTpjG+V15R4ErX2QPz5jG2xx/H2yaBv5sbYSXvv89z33yTsNs1a5SgeuYZ5tXdHSODEHixly9X78vu3Qimkydpq7gYYTNpEuMbNAjw3Ls3+9Pvck632Fj2pDwUP2QI8/xrmcKs9MfI3h7DQfv27GEXFww5tUEXL/KOL1uGgWfHDqtSYCUr3SrSNM1NCLFeCPGwruvHLD531DStnvxbCDFUCHH0f9PLG6Or+YZllkxLb5U0IsnMmZYARx7pMJmQtb6+fDdoEAb4gQP5vHVrIl0+/ZTzy/n5GHVXrFDeuNBQ5FjHjhiBL13CeFtRgfx+4w2e1amTOr9XWYnMzMkhsuvzzzF2b95M31as4JmHD8Oju3VDNxCCPu/ejYzctevaYe+WSVdqm24kk6mV/v50Wzt+5WHdHTvwMk2ahKIiC2KWlKiQOl1HYV26lFC8iAiU42eeQdnt2JFnpqTg9q+sBMjZ2cFAVq/mOfXro+RLz9uWLYCD4GDuTU/nMxsbAFpiIgra9OmENBYXA/CE4Hn79gEIqqsBORcvAgTd3AA8x48DUg4f5rv69Rnzli1YqAYOhGHJZCBnzqCct2uHByA1FSXxwgWU+CZNYLjh4Xj7zp5lnOfPq0Lg48YRZuriojJc/vADYZ2FhXjuZGHs8+cBcZ6eeIy2bmUcOTmAo4YNYbYbNjAesxmw/P33/H3hAkw5J4d2CwsZo48PFrtevRjrypX04b77WNeBA5nH+fNh0JMnY+Xr14+5OHGCscg6ODU19GvOHFIbN2wIg161Co+VzDxZWKj2jo8P55RKSxEwiYmA3cpKAJoQeEHlmJctYy1zcpjXt97CcyuTrzzzDMD0jTcAhU5OrL88F/rYY4xn7VoExtmzgO3TpwGfQ4YwZzIz5vTpgMiff2Zuw8PZd6tWsZ++/56+L13KHrzzTrKdfvIJY1ywgNCVFSsY08CBPCszE4AbE8O8LlzI3A8ezFoLwV6sqroFL/k/kBo04FB/Who/99zD3pOF6G8mubgoa3RtPN9KVvqnkqZp3wohQoQQjTVNyxVCvCmEsBVCCF3XPxdC/EcI0UgIsUijaGz15VCsZkKIny5/ZhRCrNF1fdstH8AN0tWhhtcKPZTlAEJDVfbJq8sFyBIECxZgGDWbka2VlegxnTpxrTyy0aULOt1XXyEf27cn6crs2egNRiOga+1a7qupQV7v2sXvn35Cz6qqwigfEcE1zZsjT728kIc2NrTVvz8y28GBfAJxcbQ5bx7Pc3BAhppM8O/581XYu6yFZzAo794fDdG8kRqDte0dtNJfg2rNg6dpWmtN0/ZqmpasaVqSpmkzrnGNpmnaPE3TMi7Xewm82f0wGnmppk8HBEVH8wL07Anwmz4dZXzcOLwejzyCclxZyf1HjvBySq+ery8/MTG80AcP4rkaPJgwv8cfJwwgN5eX3NOT75KSUOw9PLDuHDmC8l1VBXjQddrduZPwSW9vnjN0KF6XLl0AOjY2jKOgQIGJevW4PzgY5nHsGF67J54AzCQkwFxyc/HOXLwIcPrPf2Aobm70YeRIAGBiIuCufXvG6uhIu1VVeO527ULJ37KFZ65bxxzPmkW7Dz8MyHNxYYwuLvQ/OpqQy/XrAWQffKC8e0VFqgj42rW0N2IEYy4vB3ClpdGHVq0U4IiPZ35eeYXrjh+H8a9fz+cmE4IhP5++TZ/OvMi9UVFBX8LDATXPPce1S5eyll27MhfduqlEKr17A+jLyxnP0KGAps6d+X/sWECl2czcubszj9nZqqaOiwvhtd27M+8FBVw7fjzexFdfBWyuX0+7JSX0T9fZb61bIxB79UJgGQx4MRcvxkiwdi3CYedO2qlTBzDYvTteu127VEmDFSvYewYD82o0sm88PZlXeeaguJjzf61bA1YjIwGENTV8dvQooSvp6ay/EKrY+1+J/iq86Y9SdTXvkqcn7/WSJbUHvn7+GcVJln6xkpWsdHNI1/X7dV1voeu6ra7rrXRdX6br+ueXwZ3Qdf0JXdcbXi6F8P/LIei6flzXdb/LP510XX/vfzuSX6erwcTV/1uGZgqhMmfK5Csy6VNoKHJq6lT0rthY9KgNG+CF8fHoLgYDPCsqSp1pP3ECg3DLlgC3GTPQV2QUiq5j9M7KQp6npakEbLt2Idu//RY5Hh2NAdvODi/e888j+156iXuefVZl4dy1C2/fpk3I1n37uHfsWBWKKb15BoPK8H6teboR+j2eOSu4u/2pNpe4WgjxvK7rMZfDCaI1Tdup63qyxTUjhBCel396CCEWX/59czpw2SoSF4d3pH9/lNxFi1D0P/0Ua7gQKEodOuBl27gRJX/KFKxBkZEo+gEBKjmKiwtKtLMzoZrbtvGyf/01lp2qKs5vyfNOVVUoxQ8/DDN47z28W/v3Ay7NZkLsBgyAMZWXwwTc3QEtXl4o/6mpMCEbG5iSpyeArnlzvouPV1n21q+n/aoqvDz166PUnzjB3Lz1Fuet7rmHubjnHsbVvDntX7gAo0xO5rPGjQGAKSkAGKMRL5IsRB4Xh4dr717FtAICuCY3VxUHT0lhnBUVeAx//BHQY29P/06fxju2axdgwc8PUHfpEkAsM5PwyS1bAKstW8Loly0jzOLsWfqelwe42bOHNVy2TBWRHzCAPbF4MYlChFC1bd59l37Mn8/879mjDmdXVTFnGRl41GSR9g4d1L6zs1OZKxcvBvx17w5QXLuW9o4eBfQ7OLDOvXsjnLp2pR1JLVuSzEQIwJwQ3Pvzz8zbmTPMfXk5QP3OOwFib7xB6IgQrIuskSc90UIwn4MGAdo+/VSVo5gzh3WXgs5oBCAajezD0aOVhXHrVubCzQ3QGxCAAJahun9RUPA/501/hoxGeFlREfu1WTM+y8u7+W1VVLBPGzfm/Rw+3JpsxUpWstLvo6vBhCW4kwlVZMRVaKgyNPbti5ctJgY9QHqnBg3iGMjevcjMwYPRxbp2BUQlJaks3926ca2TE3rd0KHoHXl5HEGRMmrMGORxTIxK6Hb//egOMrHe8eMkX/nuOwCZTH4WGAjQs7dHbykvpw9jxsA777mH6CF7e8Ynz+OVlgI2585VpRIsPZ2Wvy3pWt9dXRzeSlaqNQ+eruundV2Pufz3RSFEihCi5VWXjRNCrNKhCCFEA03TWtysPkhGMHkyL9BHH/ECeXmhtM+dCwCUYCQzk2uNRrwSJhPWF1lkeuJErpkzB0Xf1xfltls3lPllywAJ77+Psp6RAVOZMQPFunNn2nvpJYDKxx+jfG/ZQnteXtwvBOCvTh3abd8ehXnePBS6EyfwbgkBo6pbF0CTkMA9J0/iLcrLw+tjbw8oEQIAJkNJ09IAEydOEMIQHQ2QcnQEYFVVARJkcfFz5wAFFRX0qbqaMNP+/fGwNWwI4DKbAYqtWtGPFi0AnhcvAr6aNcOzVF7O902a4LXq0oU5z82FOSYk8LmrK/0oLiaU8MIFwLQsIN6pkyrQ3qYNCXOaNlWlCdq1Yx3WrVPx+3v3Ak6SkgBgy5YxxxkZhIimpQHyTp3CayfPk9Wrx7otX45VLjYWARATQ38rKwFfcXEAs8BAwKi9PXvkq6+Ym/vuAwi+9x4A/8EHucfPD8Xd05P9EBAAuJ4wgX2ZnU14yl13YUDw82P8S5cqQ8SaNYDGb77h/h9/ZD/KJELSmmg0Asyk0eO55wDu7u70XR5U/+or5iA6GoF16BDvwKxZfPfwwwDNpUtZO5OJ/ftXpb8Cb/ozZDLBv1JT2V/nzuHhrS2Ki2MPPv20tS6elaxkpd9P1+MZlqGZstadTGgihCqN8OKLgKzduzFG7tiBF09GWh08iCycPx/5NnEiAK1nT/SRf/8b3eubb9AVpkxBxvXti64gjZXl5ci3zp2Rwe+/j3wLD8cp0KoVfRUCfeHnn8moHRenEvn17AlQnDoVY2hYGAbczz/nvpAQ5b2zt0cPdXK6Epxd7cW0nD/L84ryO0vPnRXcWUnSLUmycjkVcIAQ4vBVX7UUQpy0+D9X/F9F6w9TdTWM4NAhXtaaGj53cEAxkt6hhQthHi++CEh46y1eZHt7FOuuXbnH35+QtPbtUaodHVWCgyef5IXv3Zv7jh8ncUtgIB6bPXtQko4fV0p8QAAemqZNYSRRUXhZ/vUvQt7kOTkbG9pp0gQAMmwYYXlZWQCUkhKsQ7IIdUUFY2/TBhDq5QU4cnAAsJw8yTNHj6avaWkAh4YN+S4yEk9TWpoqS5CYyHNzcmgrK4uxNmxIqGdYGP2rX5/58PfnWjs72i4pISTTwwOQWFWF5zEsDAbctClMurpahTmOHInXKiEBgNyyJaDmtdeYmwkTOEcWHU2f1q4FxN95J8poq1bMa5MmAOVjx+jTY49h8du1S9UELC5mrNnZjDMjA7Bz7BihGWlp7J+LF4mfP3kSoJqdzXfHjwOM7Ow4C9exowqhXb2a9UxIYIy7d7PGOTkAy2++QYjMm0d7Tz/Nz7x5AEcPDz7v2JF1W72a74UgwcxrrzHGBx7AstiuHfsuMxOhUl7OHPfoAQAbMYJ+1q0LgIuNZT97ePCdiwsCMjlZZdiURo6dO9Xh9I4dCWNNTGROq6vZOwsWqH1Qp87Neptrh/5XvOmPUnX1lRburl0xgNQm6Cor413Ztk0pVFaykpWsdCP0a3XuhFBZJS1rwoWE8J1M9FZdjSzq358QyKFD8cpt3gy4KilB38rIQB6uWIEMHDwYQ1jr1ug/48ZhcE5K4py7zOTdujVROpWV6ARdusDvyspoNyAAg3liIscpvvxSAdGqKmThzp0Ax1mzMJhHRjKGykqO1chC55YFzXftujLJjBCKx5vN1w5ntUxOI7+zeu6sdC2qdYCnaZqTEGKdEOJZXdcv/MFnTNI0LUrTtKizZ8/e8H2yWHdlpaqBIt31S5cSChgRgWIv3eVvvonyLDNMbtqkXPiBgSj1c+YABgMCAAdz5qCMm81c/8QT3O/mhicsOZmfFi1Q0LOzAVq5uQDKc+fwjHh6Esq3dSuho7LcQVYW1+Tlochv3sz1LVqoDE9xcSj08jnOzgDbzEzAx8mT/G7RAuaVlYXSrusq/KGgAKDl7Ixi3rYtDM7ODs+VwUBbx48zXz//jEdOCJiNLDUQH898X7zId1LZf+YZ+tmhAwCnUydizhs2VEldqqo4f3jmDJ7NsjLATWIijHrjRkIU5Zm89esBZAcP0u/587G0lZfznEuXiNHv359Q2tOneY7BAMD95BMVRlFURCiFjw8M/8IFLHwXLpDd8uOPGecddwDoz55FuR4zhuu3bWMPff01oO3QIZ5ZUKBCGY8cAey3awc4evBBmPzQoVjxoqMRRDIcLi8PgL1rF3Po5UXik4wMwJujI17Au+5ijR96CKNGQgJgTSbIycxkz48axTw5ODAmJyfWX56xkp5VJyfmYvFiZSSxs8OwYDSyDsuWcc933+FVfOopkq3Y2qq6bAUFf+SNvzV0M3jT5ef8If70R8ho5J1xcmIPNmkCGPfwqNVmhY0N71Ft1NuzkpWsdHuSZSmEa4UZyt+W38lan7/8greuc2dVu3jPHv6W5/HmzcM75+CAbLvzTiJyNm9G16uuRs/w90cfGzUKQ3tODrrGoUP8zstD99m3j2d++KECe2+9hX4wZQr/u7piPH755SuB3JAh6AhCAOhkIhd5tl167WRBcwnihLgSoMmi5sOGqe/kPF3tpbs6Ec2vrYOV/nlUq3hf0zRbgQL1ja7r669xSZ4QorXF/60uf3YF6bq+RAixRAgKCd9o+/b2WHskRUbi9Zk2DRDXsiXK0uLFvICbNgGqZs9GMd62DSBUWQlA8/cHvEVF4fWQddAGDOC+Fi3wBK5fj5ejRw+A4MmTvMh5efTp7Fn6kJQEWHFz4zkXLihPUUkJyn9BAe05OPB9SAiMLyUFZWv2bLxWJSX0JzWVe3x9eakvXGCcdeowllat8HbNm0d/u3enf1u2AFLS0gALmzfzd8OGqoh7URHtBAfjUezdmznt3BkGmJqqSgYcOQKDTU3FO1ZTwzzVrw+4zcmhXXt7AIinJ8xz0CCYY//+zEnduoQ8uLnBfNPTERi+vgCgzp1hbN26AXjq16cvn33GWnh40PfkZEIQN25kHtLSAD3r1hG22rAh62IwwPDPnwe4HTmCZy4ri35/8QU/33yD1U4mz6mp4Z7KSmL0P/mEfnzzDevi7s6ei46mzwkJzPnXX7NPnnySxCrDhwPAX3kFY8NLLzEPGzYgmDZuxEI5cCDJYdzcAFqVlcxnVBSCZ8oU9rzBgKDx81Nn/gYOZE1k1lI/PwRKdDTfpaay5nPm8NzSUgwhXbow9wYDgjQ4mDaSkwHYXbuyLw8cAEjL9v+KdLN4kxB/nD/9EaquxhgSFMQ6v/IKHl2DgfentjKXpqcD8GNisIJbLcVWspKVfouu51mSJayCg+FnffsqILh7tzo3bjYj1599FsO8vb0yxu/ejXwaMgQDcHU1Mn7QIOTfwYMYNZ2c4I81Neg73bsje195Bd3JYMBQnpDAd+npRA/FxyMH33oLw+pjjyF/77iDPmzdyvGHrl15hizNJMsayXH16cMRiCFDuGboUMYaHKzGI+fKct7kHEnP5h/10lkLpv9zqTazaGpCiGVCiBRd12df57KfhRATLmes6ymEKNF1/fTN6oN06+/bh3LSpw/nk3r1Qnl9/XXc6ZWVKL8vvYSi//jjKP3DhwNY4uJ4WY8cAZDJWihTpmDpqVsXBtG6NfctXAhgWbAABtG9O5Z2FxdAwOjRKguloyNgqnlzvF/t2hGu17s3fQwLg7noOvd5eKiECrIeS1wc4x0yhDEXFwPyLlzgeRUVMCAnJ5jXunUo+tXVgNqaGvrWogUMR9YGlOGUJ0/iMUpPB4gcOaJq2J09S98NBvqVlUWffH0BlbKW4H33oRzGxeGRS0hQljMZRpiYyHglIOzYkfuzs3nG0KF4n5o1wwu4di3znZcHSK+uZh3GjQM4yZo4AQF4OaKjAamDBuEhNZkAIv7+PK9hQ6xzx4+zJxYvZt2Ki5mH9HSe0aED95SWAtzc3JjP2bPp6+DBgDB7e9ZAJvJ58UUyeNnZARbbt8cb160bIE2eVfz3v1lLyfw3bkRQlZaqAumbNtGunx9zreuMKzISj163bnwmvdb9+uGFKS9HKI0bhxHj6FHWIjcXYC3P3XXrxlq3bs24mzZF2MbFMTdmM2v10kuEuTz+OGOMj8egcNdd/P9XBHh/Bd70R0meWWncGOVk7VrO+BYVAfpqk5KSePdvZb0mK1nJSn9vuh6okDJEFjqXYYfDhgHUxo/HiOXnRzK6efNUrdZFizA2r1+vgF2nTpyze/ZZlaDt88/5vF07eKS7u8qO+emnHBuRNY4feQRjshDIc6ORSKJ33yUqKD4ew+agQWoMHh7wXwcHZF2/fsjcxYuRoaGhAE15hGH9evrfqxdjF+JKT6YQfP9rZxb/yPxbwd0/kzRdrx2Ds6ZpwUKIA0KIRCHE5dNv4lUhhJsQ1Hm5rGgtEEIMF0JcEkJM1HU96teeGxQUpEdF/eol/5+kBURmLJLJCX74gc+2b0cp37KFvwsKePG7dCE08J13eFFPnuQFnzWLZ3p7o9CuWYPSU1UFA8nJ4Z7XX4cRNWpEm88/j0J+5AjWn/79CUGoXx8gExoKuMjMBKC8/DJeOnnuzd4ehuDqSlKLOnUAq+3aAZqOHQOISIbUoAEgwmRCMb9wgedWVqLkS4uVo6Mq/i2BXdOm3Hv8uGJClZU8Y/BgslBduqQKoV+4gAcqKwvw4OnJfMjioTU1qljoyZMwmnvugVG++irMsKwM5unqCkCRCW6GDAHMffUVIPLuu2HsZ84wdytW8P+wYVjTamqYL5mg5pFHmMfiYvro58d86TrgNCKCuZJJWr7/nrXp358ELWlpeALDwlQZBDk3Hh4APbMZ61jz5jD0qCj6J2vS/fILc96rF4B/3TrlHS4vZ97GjmVvDR3Kvv3iCwDp6dMAwMJCzhJ6erI3o6Lo35gxrL2HB0lfmjZlnu+4Q9UIqqoiLGXnTvq0eTP7ZORI1sFkYv9//DHCsFUr5ig+nj4sXsy8tm8PyO/YkTn4+WcMIEePMo8uLqxdYCDXnjyJ4NyyRSUE+g1+ES3TgNc21RZvEuL38ac/QpbWWCHw7K5bx3t48SKW4dokR0feh/x8ZVm2kpVud7qV/Km2qLZ50+8laSiSZ9CE+L/132QoozyTJ/lNaSmgr7QUo2+fPhwBadsWuRoXB2hLTkZ/CQ5G13npJe4PDESWnjyJPuDhAeCbORNZ1r07bS9erGrlSmP1xo0Y252c8NQtX45R1MmJez74gGtl2YRdu+DT996L4T4qSp1l7tcPuSk9mL16AWT9/ACS0nP3e+fVypf/OfRrvKnWAF5t0e9lUiYTP0Yj4K5fP5TO9HQyZu7cSZKQ558HdBUWoqwPGQJj0XVeup9/5qUMDORFtrcHQOzYARDo1ImwvBEj1KHi9u1RhGRJA7MZJczDA6U5KQkG5eBAeFWDBgCfPXtgbr/8wnVlZSj/x47BLJo2JYHKgw/C0J56CkajaXiGGjWCSW3bxucyO2dcHECyXTtVrLOwkL7LJCfNm6PIr1oF+PX15bqCAhjHoEF4sTw8AK3OzsxJcrIqpu7jA3AJCcF7WljIvd278+yxY9U5vogIShns2IFHautWVTcvN5e50DTCJKKiVDIYIWDklZWEzR4/zv1z5yrP5fjxhNLKgt9lZcxnXBwexc2b1UHmDh2Yhx49sMh16MCY7ezwdnXtimdNJmCZOhUBk58P0PrlFzyw990HqFq1CsB34gRzdOAAynG9eipByqZNMPxPPyV5zNmz9PuLL/Dm3XEH/f/xRwRKnTrMdUwMc9KjB/1PSGB+27dn3idNImzvX/8CBNfUYDwYPpywzgkT8LDt348g6tqVtkpKmPexY3lPVq0CdMfHM46CAvbHuHH0PyMDL9/zz+OdnDkTwVS3Lnvp0CEMJxK4/hrdDgqUELdGiTKZrqyh9MEHGDV27GCda5M6dWKN776bfW9VJKz0T6DbgT/9FQGeNMDL82iDBinAJ8/v9eqlSrOYTCrJVGkpMqhzZ/S1bdswOskyTRkZSvdLSUF/mDkTXeHUKWT7Bx/QniylVL8+Mvjrr9HHxo+nXx99hI60ciUJVgwGZN/Ro8jtzEz0HoMBve6ZZ4iIiYlBh6qsxNDq5ESfZHhpcjL6hgSH0hEhxJUlE37PnFrDMf9Z9Gu86ZZk0fxfUXW1ipl+5x08NNu38wK6u6u6JvLFKynBE6brXJeTA9hYvpx6KMuW4VVr1w5Px8yZPHfzZrxVBgOMJCEBBiFD/LKzeXZAAP2KjERZbtkSBtKihUoEs3o1HqdZswBGLi489/hxmIijI2GheXkAjvHjUfx79sST1aqVSj5SUgJTCwujT23b8uxDh/BiurrCxFJTYY6FhTzf0RHrU3Y2/Tp/nv56egLubGxgsvKMVk4O4ywrwzt1/DjAx9MThfCOO/D83HMPzDgqis/uvBPQ17cvzLi0lGQyvr7MhZcXwE4ybMmsS0pU9su8PEBMWRn9lSD5v/8lVNHODkZ85gyejvBwmPjevYwrIkIVTK2pgeF/9BFzNnQoa5OQwPWnTvGcmhr+HzGCZ61cybWHD/OcrCzAV6dOeMoOHWLde/XC82tnx5p+8gnz9vLL7IVJk/hOeuJkWOW4cYCmI0fUT3o6c19ZqUpsrF7NPnz1VfbBypWqsPqYMVgrFy5EmK1fT3/NZvb+lCn0ZeBAgOcXXzCPGzcCHPLyWD8bG8JMk5OVd7ltWzydY8fyfrRvr8okyBIkVro5JJUeafGWJVBiY1mP2iZbW8C8FdxZyUpW+r1kGd5t6bULCUEWhYaqzyW4k6VZpDdPlj7Yvh1jpRDoL4mJSt7I2rR2dkSi6Doydu9ejPqVlcjXF1/E4LpgATLu/vvRZ95+G30oORmDbZMmGEKjojCod+zIMQxfX9r28EBWRkYC7ho3Bqw+/TTgMy0NY7cc27Bh8NDnn1fgVfJTe3t+rpWY5rfIGo5pJUu67QFeaioKfs+eKO5mM59/+SXenvvu4yVOS+P/wECSWxQWAobOnuWFOXECj0d1taqbdvo0QM5oRHmePRvwUVhITPimTSji587hbTpzBsYwdSr/16sH2JRlEKqrub+sDJCVl0ff3N25V9Po3wsvwLi8vOh/vXoUtv7oI2UhkiEFVVV4tKqrOTf29NN4YV54QdWEu3QJgNK6NW1XV9NnLy9AgMlEG2VlMEVXV0Dlzz8DcBwdARkbN9KfS5dof/16gFpqKnOUnMw4srIAxfv3M97lywFSiYkA2jp16GtWFoDkww/53M6Oc0a6znrMmAGQkqGRzZvjIZX3eXjw/DZtaLt9e/rm6cmczp8PEBo1imfs3s1cpaQowH/kCHMxd646pzhkCM8OCQF4eXgQ39+rF7+feQYvx+rVWBT//W8Y+blzysu5YYMCWlu30tbixXgX27Xjmfv3A0C9vRFETz6Jgr1kCddHR7OPU1MZX8+erMWwYYwhOZmwy3feQfC0akXSl+bN8RqmpuJB3LkTYfPNN3gbXV0RgG+8wf5v3Zp+HzzIeOztmcu8PARuTQ1j/+Yb9qfBQFtCWLMu3my6WoAXFqKcVFWxdrVNZ84QOVBcXPttWclKVvp709X123btUvXdDhxQx2eEQMbI/41GlYXSksxmZOKQIRjBly9HRsuz348+yvcbNiAfS0s5v962LZE+np48R9OQezI53vnzGIzfeQcD69SpRLO4uSHX5s1D91i3DnleXo7xVho4BwwgyubwYcZVWor+J/Wsrl0BfKWlGEOlsdoyPPVq8GtpyLvWvFrPQVvpt+i2DtGsriYcs3dvFNHYWKxBkyejiEZG4jkaMQKGEBXFy/fpp7zkHTui6GZl8azt2zmfVVGBhyojA8XdbFbet169uDcvjxfYbFZx4GPHcl9aGgylXj1+l5cTpunoyItvNsMIunTBmvTUU3jLNA0AlZEBMCwvx1J06RL9e+ABki6cOwcjKygAgLi4AFxOnVKMoV07AJvRyHNcXGizrAymJq1IAwbgaapfn3517oyn7ORJGHK7dsz1k0/SV5OJeWjWjOfKGjfyrF9enkoIcfgwa+PsDJjx9MRSdvw4n3XqBJPz8GBtPD0BYtHReAAXLSLs0N+fg9CtWgFKIyMBdZpG+61aIQQkmDx+nPWWiVV++YX+eHri9XvtNa7LzIQxX7zIWuTnM3cGAz9t2gA2bWwQFOPG4QGzt8dSKD1sycn0xdcX4Ni7twpvbd0aoTRqFKAwMpI5GjVKlbD45Rc8kkePsr47dzKe7t3pZ0UF87NyJb+joxljs2asU79+hHlqGn2dPZs2fXzwWMr3wWhU50AHDQJEX7yIB/Pzz+lLWhprnpXFmguhyjG8+SZr+tlnPPuHH1S2sN+i2yEESohbFwYlhbuMNFi5Eh504UKtN/3/M9q2bVv7bVnJSn8Fuh34060O0bxWuODV5+4ss0VagjuTCb0jMPDKpCbyeund++gjrg0IINLk3XeRsRs2IBvPnkXPsrPjel9fDNOjRiFXCwuR8RUV6IaDB6MzmUzoWefPo/vUqwe/69oVfUMmIrOxQdba2aGjybDKgweR0R07IueDg+n77NkkXElM/L9nDENDGaM822x5lu7qv2XZpJAQFa5/vTm30u1N/9gQTZMJ0DJ/virmHBwM8Jg8GY9JTAxnlTw9eXm//x4m8eqrKPGffcb1zzyDV85oxOvSuDEv4urVuOh9fXl2z54oXTJbpMkEw2jdGo+fhwcMq00bPisuph1dVyGNzs6Aj5wcLOZff61q06Wm8nmzZpyDad5cgal582BUNjaAkZoaLPsGA+BP1wEq9vb0yWwG9MkkKo0a0a+MDJikjw9Ms0MHAFCXLijwNTUwtCZNmOfHHmPMy5ZhPatXD6DTsiV9iYsDdFRXM69vvEHbrq6cBWvThjE0bgx4aNgQxrttG3+7uxNm8fXXeLDOnwcMz5ihMojeeacC7TL9cHa28j7dcw9z+Mkn7AUPD9rfuBGrnSwf0Ls3QHzQIPZF584qu6iuK+9maSn9i45mjt3c6MeiReyViAgA28cfA8blGczycvowezZz++yzKmFLZSXgrWlTLIWffooQ+e9/AbQvvsjcrVpFmOQTTyBounblHhkKamtLiMm5c/Q3OxuQO2ECa/zTT4SFjh1LApu5c9lT1dWsRb9+JBCaOJE5e/xxwGVKCv1MT8eosHw5696wIYaPb7/l/5YtAZZC0Acr3VyyrIdkNvOu9+0LP2jatPbbv3SJMi/5+bXflpWsZKW/J10rXNDSM3UtAGJZ5y0wELkiBLLwww8VOOzVi9++vuhwAweiqzVuDPjJzESG/fIL8tvPDzkoI6Ls7dELFi9GRtWvj1fQ3x89Z+JEjN3z5qn6yPb26BZpaRhXfXzQb+68E0NpgwYYO/fvJ+lL164YfWUpCCG4Jzoafi0EUUMyD4BlsXc5f3LOLAvFy2tDQv6vl0/OuZWsJMRtDPBMJqw7S5YQTmY0osQ//TQvVadOKKLe3ij/w4apum1Ll8IkIiPxYEREACZSUlDGg4IIr/PxgUEUFqIAN2/O2aWmTQGDHh4AtIceUufvbGxgLBcuAMbWrQMUVlXBlFJTUcKDgmBM9erBAM6dQ7EKC+PvggJ+33efSokvwYwEdmYzIYz5+QChevVgcE5OKkGJECjoly7Rdmkp9yQnwxzj4uizENzn5cU4W7TAOlW3LkDn0CGUPkdHAITMEGowAFwdHXn+/v2qPMSZMzDhqCiY+dGjAMi77gI8XrrEOu3bxzj37MFa5u5OWNr27dy7dCnt1KlDqOnFiyRW6diR9Y2IYB+YzYDstDSesWqVShRSXAwTf+01GPW0aSrZi4cHHiuTiXmRHk0fHwRATAxjS0riLNvw4azTkiUA1vPnaW/pUvorBNclJcGcZXbUpCT2oYMD3sZhw2DWDg7M8dy5jH/KFJ7XowdgNT6esf30E2vq7Q3YeuUVhNrOnQBWJyfGWV7Oc5OS6OdXX9EnXef5333H+MLDea6dHe1Ij2R1NXtq7FjCV+64Aw9hWRl7PyWFMQmBBdVKN5csFaeRIwH+nTrxPpWX8x7UJhUWolhMn249Y2klK1np+nQtcHf12TIJWK4u9t2/PzLIaCRksls3VQNvwQLk8bhxyKDoaHSLrVuJcjl2DFB05Ag6TG4uxsuqKv6urESXOX5clWLQNI48rF2LjP3sMwyj3bohY729kemdOqGf7d5N/81mDNfr1tG3H36gbYNB1S3t1YtrDQYF6OT//furMUvPneWcXQsoy/DO653TswSEVvrn0m0L8GTx66lTUUBnzuRl2r8fxpCYiLUlIIAX9tVXsQZJb09lJUrtyJEorenpMIpPPkHhnj4dJTomBkU7MpLr5Xm9bdsAbH5+eHW++QZmU1kJaOjfn7ZffZXr6tYFaNWrB+PZsYNQRhcXVWdN0/iuooLPmjYldG7nTphGu3Z4XzQNkNGgAQzV0xMLl48P4xsxAsZVU0Obtrb836IFAOCJJ1Txb29v5vPwYUBZbi6hCkVFeP/y8hhvQAAA7eRJvJoHDwKe6tQBKF64APj66Seuv3CBuXnoIaxuW7cCuLOyYJSPPEJ/nZ0ZxwMPsIZJSYy9dWuYdcOG9LmsjD4GBgKu778fK9vevax/06akKW7SBNARGwuIGjlSnV0qLOS+117jDJ+7O2Pw8lJhtXZ2gDRd5/PERJTq+Hj6sG8fa1FcjPDw8QHA29uzT4RgjPXr09aFC8xb585817UrwmPiRKyJzz8PEN2/n72jaaoOoq8vgiMnhzlp1YpwSgnG0tMBqmPG0KbBgEEiPp7xmc145xwcsEL6+jKmgADWV2YZFYLfx48DUqurmaPZs+l3RAT3yOLmQ4ey14VQnk0r3Xzau5ffJhOJhs6ehefVNsBzcuI9GjPmyvAgK1nJSla6HkmgcnVIoWW4ufzMZLoSGEVGqlDN8HCOrYSFoScdOaLOenfrhj4TEoLhsnt3zsx5eiLb8vJUmar77kMHGD0aA2VaGsb1UaPow5tv4hAID0dvEQLj8eOPI6Pnz8e45uSEHrd5M2GW48ahY/XpQx979cI4LQGhrA0rk8uEh6sxW3rrLP++Foi73jm9m5VoxQoQ//50WwO8kSN5gbZtU2eiNm2ippgs4LxxI+Cifn1C4Ro0AHQcPowSc+IEz+rXD+uMry8vbk4OSnBZGd69++/n5TcaUWqTklDyo6PxJMnMiFlZhHiuXcu9JhPMqUkTPGN168IMAgJo4+xZFOeKChS3qir6+P77gAsbG4BHt25ct20bQC8tDebl4YFC/8EHgLPqagBAeDggqlEj+nnsGODo4kWsY717c79MitKoEQxMZuF84gnadXJS57RMJpT7o0fpp709zKymhr6npPBZVRVz8eCDMNx27Rh3ejqAoWtXVQOve3e8ok2aALhqahhbVBSgw82NeYyJAaBFReGBCggAFGVnY1GT4YhNmzKGuDjuNxiYw8xM+v3II9xz8aICnXZ2gNCuXbl+0SI8WPfdx7hPnmSNbWxUYhl3d4TKk0+yJzZv5nvJdOPjWY/Bg5mHggKV0TMujrbj41mD2FgEjCxBIQTevV9+Ya+0asU+lQlxwsPZ6+XlzMHEiQBV2bdZswi1PHIE4RMYyNhWr2YtnJ2Zw88+o89mM/M5cCDrdugQZ76GDwcctm0LWG/enD5FRgL+hbB68GqLLENxDhxgD1VXs7ddXGq37UuXeO969VIpva1kJStZ6XpkGV4oyWQC1G3fjm4VH89nu3YBhmQGTZNJAUOjUYU3Bgcjj+U598pKjKFvv438ue8+oljWrEEOrlqFTNy+Hfn+4IP87+qKvlFcjHzr3Rtv35gxyPHevQl/798fXeCBBzBw7t2rIr0++ACdTAhkoskEACwp4bP4eO4fOhTZbZkFWZ7F++wzflt6Ma8+v2hJvwbkbga4s3oB//502wI8IXjJnn6aF+3IEcCZECjy77+Pa/6ee1BW4uLwsDg54RXLzwdgSA/N6dPqrNt//4uHqlcvXsqnnuLsnqsrinm9eijGTk6quLijI88oKQEstWzJM2xsYCJFRYCskycBQJGRMJU6dQCPPj6AUBcXlOlZs1Dqs7JgRra2jEOGIGRkAJqSkui30UhfZAbKxo0BPLIMQrNm3NuyJb+dnPhp1ow+nD3LGLp146X/4QcU/J496b+HB33esYNxZWWpAtkmE8r/I4+oMMHKSqxmmZmAjZdf5jnl5RyQnjyZ744cAWx07gzTdnICFEom2bs3QL5BA4BJRAQARNMAgmfPMh+7drEuhYUALxmWm5yMR7VOHdYvOxuwlZHB9fPmAeK+/RYhMHo04RuBgXgUPT2po/ivf7EG48axz86fZ++88QZjateOuZsxA0+iEOyD2FiEmSzJIARjbduWMciyB2+9hTf6p5/4HR3NPo6NZZ7NZq6XxepPnED4tWgBGBMCIHj2LB7NjRvZR2+8gdfx7bfpV1iYWss9e5jLDRsAjXIdbG2Z+379+Lumhn0vQ20KC1kPIVQKaCvdfJLJCCRwl8aY5s1rt92aGowJY8aQrKewsHbbs5KVrPT3pWuBBZlcpLJSZcacPh3AExKivFyVlURNyXtNJoz0d9+N0bR/fwDVc88hmydMwCCcmorB+NQpjJe9eiH/pHwyGJCjzs4qKqamBr3vtdfQDWRkT9eu9GnhQvQCOztl4EpJQabLDOabNiFXIyKQo5s303c/P5514ABj+OyzKzMR29tzHl+CWEnXOod39Zm72iBruYXbg257gJeaChgSAsW8cWMAyMSJKP3Dh6MUnzkDsNu4kbC4Zs14kaSHrKYGRb6ggDNirVrBPNq2BZj5+fGZkxNAzsmJNs6ehYH5+wPQTpwADB49Cqhr1gwm0bIlAEfXAWb16qmkJ+vX08d69WBGrVqpLEwBAYT5xcQAHrt2BVDITJ9t2vC5LOTdooUCD56eWMMMBs7z5edzX0kJ3kNXV5iZqyttVlfTbtOmhG5mZTEWd3cSrHTpgmXMzY35kkWyW7Rg3o4cgQn7+OB1u/9+lURkzx7a8vVl3MeOwazz8wGJDRuyNgMGADRjYgAq0iJ39Kg6r9iwIeO5eJH1njSJ7xs1wnMrBOGFVVV43pKS+O70aYCTtzeM/NAh5R1zcoKhaxre16ws+rp6NeBv40aur6xE4DRooLy3MTH8NpuJ8ff3B0h99BFzMWoUbbz/vkpOYmvL2jZrxvN27qTPus581qnDM+U+FAIv5/ffc42HB+t9+jSgrFUrgHF6OvM2ejT7ceBA1uj559mD77/PfIaFMQfLlqHInzql9tr48fy/eDFhL0KoeojSMKJpfG5NxFG7ZG9PeO2AASgXPXoQSlvbVFamanTOm2f15FnJSla6Nl3vDFlICLJt6FCVDXLvXvVdWBgG3OxsBWx27FBetORkPpO5BHbsAGytXYu869QJY1eHDugf//43xz+cnWkjI4NoLKNRRTC1bInukpmJbnLyJAbeAwdoY9Ag2s3Oxujp5QVQfeEFvIT//jeewqAg2pk9m3GZzYynb190iaeeQt8sLUUPtcwsKul6yVOu5VmrDU+bFdz9/em2BnhGI8r+unUo1fPmAeRiYlBSL1zgBVu1iusff5zrGzbkBd6+nRC7J5/k2iNH8OI0bw5QSEwE2OXnozx/9x2gZcQImEqbNoDB7GxeyjZtYDrPPw+4cnICgLZurZTuzp1Rmpyc6GduLs9btw5Qcf48n9Wvj+fn4EGYpASix48DdFq0QNFu3lyFNR4/juIvQw7LymBWtrb8yMQo58/Tv6golPacHICB2QywkB6itDQA5fbteLP27weclpdzjcEA0LG3ByQUFMAsT52Cce7bR2bM779nXhs3hmnKkhF5eTwnJob5e+01+iGTvnz1lTqvV68eYFqWtJBZBZs0Yd10nfk4fRom3bw5oDI0lD4XF7M2EhyOGkW/JND+5ReER2oqa37ihCpb8cgjgMJHH2VNgoNh/CNHsifKy1W5jBYtOI85fTqgMDkZgJWYSD89PRm/vz8eMiEYc7NmXG8yMZ9eXlgZ58whXLakhD39zDN8VlMjxMMPc02/fniohwxh7T09GXvHjozD35/1k+GUlZWs/b33MseRkcx5r154/Fav5reNDeA4MxOQ37+/yvAqgfStqM32TyajkXdr4EA84rK4rxDso9r0oB47xhmUoCCrMmAlK1np+nQt/iBLKBmNqsC5DL+UEUcNGpBcTIKfxESA2O7d/P/LL0QT7dwJGLS3R08IDFRRDatXY7j+9luMxnXqoANERtLWxIm0l5CAvKxTB/m6fz/6UkAA4MrXF3neoQN6Xa9e6EBmM7pdYCBewbZtiXCorMTou2MHz5bZvYVgXE899X+T0Fzr/N3V83itzKTWcEorXYtua4An09rW1KDgvvvulW78Z59FiW/WDGU1JwdAcf48FiRfXzwYJhMv5OzZKhtTYCAK8urVMIuYGJjBjh289LGxKNFHjnDvoEF47NLTUcQeeghG0r8/TOj11/lJTgaE5OcrC9SXX6K0de1KG6mpPMvDg2c7OTGWsWPxCNWpA3Pp14/vxo6FkQpB3zIzAUJmM+MeM0aBzcJCgN+uXTzH0RFm0qAB4MHWVp3jGjgQBT84mLmTIYZ33ME5vpwcGPaZM6okhKMjnjMHB+a+cWMAyVtvAcKef56yC23aKJAtE86MGweQqFMH71FlJV7CXbuw2J07B9i5dAnQVbcu/bWxAYAdOgQQ+v57wFnfvsxBWRnMum5dQHBFhcp+dfIk13//Pc+NiGDdly8HBH34ISGQJhNjGj2ae7dtQwi1aUN/ExNV0dQ2bbAcrl0LwEpOZn9GRTH+bt2Y19mzuWfmTITXmDF4Sdu1I+xYWv3eeou9IcNdli5lzL/8wlocPIgS7uDAPZ9/jud66FDAXbdu7OcVK2hf01SNvaNHqRv0739zf2Ym4LR5c+7x9GQ/pKczv5MnswelR8cK8GqfZKjmiRMoH7rOepeXs2dri0pKUKbKy63KhZWsZKUr6XreKEuSQMVsRs7v3v1/z+RFRPCZ0YiRNT4eufb00wC7li2VMXnWLIy627Yhx319VabKiAhkZEEBusWECYRdbt+Ocb9PH4zcbdqgzy1dih4hBDJ02DBVH1dG40iDWp06yOJu3dC35Hk9gwE9TGZRl3NRWkrbu3eja8q5kFkxLf+W90hP39Vg2RpOaaXr0W1d6FwIQMWsWYCh7duxvLRvj/JeVgYQe/JJwFXTpgARWRS7XTteGjs7vsvPhwnMno2iLYsK5+WhHG/YgFX72DHu13UUaJlIZMgQANbevXiGcnMBO5ZntmSBbunFKy9X4XVt23Lm7YMP6JeLC2fJNm3iuhkzePbhwzCQqiruNRhQ9GT45ahRqmaarK9Xpw4M8sQJ7rGx4Z4OHVQB5aoqmKOTE383awYzPXqUPldUoPD36kV4Ynk5/a6pUWGFRUVYrioqACnjxjGvZjPAqX17gLH0DoaGqnN8NTX02cVFrWdxMf1p2pS2t27F4+blRXuyDty5c1xTVgZQsbcHXJ4/DyAJDye87fRpGHhZGc/19FTrN2sWzz9wgPHLRCZ33slB7iZNeFbnzlwTE4MQSU7m765dGcPp08xXfj79bNCAtXdwoI2nnmI/PvwwffjlF0Dk/v0IhW+/ZT66d2c+ZRbNt9/mM7nv167FS7poEWvVvj1nFX74AU/zrFmEsdarh1dSGgWWLuX7994DyMnEPr6+AIdXXqG9wEDmbds2APS777I3Gzfms2PHAO/PPvvb7+ntUEhYiFtfTFgI9sLs2apMyty58AcZVlSbZG9P6PvAgShAViXDSrcj3Q786VbxJgnmZMFty7+vxx9MJgDewIHIf1lOYORIFZrZrx/8ZscOVb7Hz0/VwRMCw/JTTyH//vUv5PgTTwDuGjVSdX87d0Ye7tqFbuLgwP2dOvG8yEjktTRqjhqFUfzSJf6/+26M9ocOqUib/fsx1E6fTnshIfQ9LAw5nZ0Nr4yI4HpLj97evehN4eHXnjMJ8Czr5F1r3q38959H/9hC50LAOKqq8DCMGYOy3qsXKXDXr0fBnzCBl3n0aF44V1derLp1eYnLymA68vxeaSmerpYtcb0PHAjYCA9XTKBTJ0CBtzfXZWbiBYqPh2nk5qqzbCkphPp16YIFycuL/hQVca+jI8B0zx6Uew8PXuZu3VDe7e1pa/lyvGUy22dNDWF3p06pOHAvLxhMURE/Fy8CTLKyYGzZ2YCrxETA4Lp1MMuWLZm7Nm1Q+s1mgI0sJt6ggfKAHTwIwDtzBpA1fjxMsKoKz9Evv6CE+vnBFCMi+AkNBaSYTACJ0FBA4NmzMNSaGtqJjQVoNWgAyGjRgu+KigBkK1cy30FBgNXcXKx9ffqoDKgyscqDDzLOOnUAJYWFrKebG79lJi2DAWvb6dOcU3NzYy5SUvhOpme++27GXlgIuN+yhVj/s2cRTDExzJe7O33YvRuwe/Ei8/bJJ4DG115jrTp1YjzPPAMAfu89xta+PUB+zRo+d3am/7IURpMmCJaEBEJQ3n+f9SkspLB7bq7yznl4IGxSUuifmxvnA998E9A7cCBCMyEBT155Oesly024u/PcFStoNzwccCeENcnKrSAJsrKzsRx36MAevBVkMLC/Bg2yKhdWstI/nWS4oBD/Nxvkb1FCAvfb2cFPhg5V3x0+jAzcuFGVRKisxItWXo4nb+dOwNzevRi3Tp9G78jPhy/m5WFsPX4cGbd6Nd/LsjKenuhntrY859VXkb9VVehEEyZgmD19mmibrVvhs7NmqTFLAGc2o8eEhaGHbN9OZFJkJEb6wYNVQhXprbMsC2GZLVT+P3jw9c/eWcM0rXQtuq0BXnExh3HT01GiheDFfPFFAIG/PwDL1ZWXe8sWrmvfHlB06RKhgJmZfL5/P96L//6XZ+3ejWWnRw8A1oULMAE/PxRbTYOZJCfTXv36ePUuXcKbd+4cYZEdOmAJOnOG0LzDh8mW6OwMQzh8WIiPP4bR1KnDi792LaCgfn0U7UOHYCQ+PrzkFRUwylGjACJdu8JwZPih0Qgjc3TkOdJ72bgxfWvVir43akQ/ZObE4mLGaWMD2LSzg2HZ2AA0bG0Zo4MDzwkMVIDym2/ou67TXvv2MOd69bi+ZUsAkp0dYy4uBpjIvhw7BlNv2pT5l+cI587lf5lcQmbanDWLtmSdwt27ASJ9++Lpqq4G6AwYoLx90rsWEADY2bMH4D9wIGc4KypUGIk8Z3nsGOsbEsL6HzgAYIqLwxss53HSJACQPEMnPV2DBsH877uP/XD//YwxI4Pwy8BAQPu6dcz1kCF48g4cYHxFReyPNWtYh6FDmVtfX573888859FH6es77+CpnTCBPe/kxPMyM+nXt98Sqvnttwi8fv0QZNOnAwbvugvr6I8/Mvey8Ku0TMqEQUKo82BWuvlkKcydnOA727ap0hm3gsrKULK2brUqF1ay0j+dri5WLum3AIjRiMHT0vMl5azUV4YPBwRu2gSA6tsXnpecjP7z7bfoTevWIXfuvZfvs7KQjSEhgCR3d/hlQAB9Ki9H/9u0CZBVU4PcDA1FH7O1RZ6uWIGO06wZ1yxbRpRNTY0CnVIP69MH43t5OW2NGYO879WLIxKyHIQ8yiDDO8PCGLPJRPuW18hSCpb/W9bJs4ZpWulquq0BntGIEtu+PWepTCaUdV0nnKx/f5iK2Yx37eRJAOCYMVh9zp1D4X3iCV7y8nIKR+/axUvu6wvoe/ttwMuFC5zti4vjWbm5gC9dBwiUlRFy0KQJSn+nTjyjWTNVqsDTE49S/fqAgsaNAWFNm+KxKikhKcwjj+Dxad8eUKTrqr5dw4aAgMpKgFL9+jAeV1dV6sHGRgGUnBzloauq4tqCAqzzdnZca2NDH/r0YR7r11cguLJSeQmff14dOo6JUcC6aVPmXCY8cXEBUOg6Y9B1rjUYAMuDBqmi7VlZAJzqarxOus58ubsznqgo5rZnT8XgWrZUZwvloelp01jvfv3UOcZWrQBKH3/MXE+eDFOPilLe3rQ0lOZvvuEZu3erou8TJjBn69Yxno8+Ys4yMliv6mr2T58+qvh78+Z4W9u3ZzwXLpBsxtYWJn/mDJ7LO+6gn1FR7KkHH2Q9haDfdnYIqY0baUOGgK5ezb588kkA67lzjFmGnjg5sfcHDACkxcUhCEeP5t5OnRCWDz/MuldX04fiYv5PSSH0s1Ej5iQign177hxjaNxYge3U1Fv5xv9z6FoKU79+vCtTpmDIqF//1vSloIA9ZAV4VrKSla4GGbIgt+WZsmvR0KHKSzVvnjpTbjSiqzg4AJ7mzEFPmD+fZz79NDpMVRX3DRuGfAsKAthNnYqsWroUGVxcrJLLNW+OPE9KQnY+8ggyXnr1unThTF16OnqPwYAu0bkzhuPwcPSDzZsxGkdEcGZ+7174sJ0d40lLUwnSZDmEykqVXMZkAvgFBak5DA4GlMpi5pb3ymssQZ0V3FnpavpVgKdpmuFWdeRmk8lEuNvGjYAoV1e8DVIJzs7mZYyPB/DccQfKq8mEsnzsGN4vIXiJ7exgImVlKOD5+YS8eXsTIpifj9s/Lw9mIsMru3RBoT56lO/mzlWFz9PTAWWTJnFNaSkAzsEBRlJYCEA8cwYAVVGhwhe7dgXohIcTd+7gwPfFxYzvq68AehcvMvYLF/g7KYmsnLrO86OjAVPSijV0KM/w9gaUaBr3nT9P2xs38r+sG+ftTR87dFBhhu3bAwJ8fWGksoj5wYOEZzZuTB+OHIFZFRTQ5tGjhM2GhTEvo0fjvbpwgef06UOb584xB88+y5yvWoVnSTLRZcv4PD1d1Qb08YFRDhoEII+PB8js3MmazpkDKN25k9DTPn0APQcO8H1iIiGL8+cTulGnDkB05072iMzief/9zGFurvJ0XbgAEBs9GlC6bx/fl5cz3vXrVXkNHx8ET3Exc1BejtJeWUmtwBEj8JYUF6PA9+oFyNy3j35064aQGjgQi+OAAczHgQPsxdJSPHo7d7IeTzyBYJJFY81m1mXfPvaVycS9paXMi5sb5/hGjcJCajazFhkZGC4efJB9ZRn2Ulv0d+ZPf5YshXt1NVbfXbtYj5wc3ivpRa1t+vZbjBlWBcNKVrLS1SR5lQQmlmQyqfNlu3fzf3g44GjAAPSu0lIMotHRyCj5nNRU5HZYGPkJFi8GWA0ZQqRVp048++mnSVI2dSp6zL33Eu5pNCKnpk0jyUpmJhEtixcTUWMwoJMYDEoOJybyzM2b0Ss2b0bGjR1Lv+zt0TEMhiu9czNm0M8tW9TY7eyQu0Yj10ydiiFVzsu8efxtBXFW+qP0Wx68aE3Tet2SntxkMhpRwOUBVyGwDh05wt8XL+K9SEnhhTx9GuWotBSluWFDvBOpqSjXdety1qR1a17skycBELm5XHvhAuEDY8bg3Rk+HIBw+DCKVkUFz7GzAwzOmAFQCQjgvNXBgwCJ9u1VVqj0dIDL+PEo/rK+mCwVIMMaxo4FVKan049OnfDwBAWpcgrSU9m9O5Z+V1f61LAhynlhIcDwwAHaSE6mD25uWMPuvZe+ahpgpG1bgFpJCWDYZOKzvXtheroOCBk2jLnOyMDbd+IETHLNGjXP5eX87eXFsxs1Yq62b6cf5eWMa/BglRCmuJgQiKws1rd3b9oUAg9kVhZzuXKlAigXL3LPPfcw11FRgOfcXMbu4wNQ/eknmHj79ozJ0ZG2dZ11WrGC/qWksD/8/QlxPH4cb2pUFPspNZU1vvNOBEVaGkB87Fi8mU2a0G8h2DuNGjF/Y8eSZTUwEOY+YgSgbO5cdU6hUSP2YGkp63r4sCrHEBrKHoiLU0VcpXVz3TrAX69eXLtgAWv43HOA78cf5/r77wcoZGez7p06IchWrQKQLl/OZ7t3s/4xMSTMef99FQosRK3Xwfvb8qebQZbC3mzGePOvf6n03nFxt6YfMlzbWvPQSla6cdI0bbmmaQWaph29zveapmnzNE3L0DQtQdO0QIvvHtE0Lf3yzyO3rtd/jCyzQcrfMjlUdTXRN0Kgr3XrBg9btIjPGzcmsiQ4GNkl68npOnJbRiqFhQGUvvwSneWDDzA4du8uxKefopNt2oR8nzsXfeTgQfS8r78m+uquu5BnCxciTzWN58fGYgBu3x5+5+6uztw//zx63f79GFtDQ9FJHn5YhW46OaljGzt28FlwMH2Wc+LkhJ4xbBjj8PO7MtT16qgN67k7K/0W/RbAmyyEmKtp2lJN0xreig7dLDIaAUY9enBebd06QMLGjSiqiYm8lPHxKL8y0YXZjHJua4sS3KULoC4vD6Xp+HEYi6Mj18o6by1b4lWLjMRKtHcvnpaePRVAefJJLE4JCdRT8fZWZRK++ooXPDmZsAGTCS+f0QhDSElhLIMGoZDn5vLdiBEwKU0DjPXqxb1FRYC4Tp0ALXl53NeoEYzMYCAcUQgYVlER4aPnzsHQzp6lL6GhKG9vv40FzcYGoHnhAu1I79748YAqb2/AgZsbAEFm2Cwrg2G5udHvkhKVHfTcOcYXGQkzliC4sBDG2qULoQrr19M3maE0IwPmVlUF6Dp7ln41acK4wsNZx02bGK88S1mvHiGily4Bpk6cUKnet23DAhgby3h1HY/r6dMK1Oo6wMrLCy9iYiIWv44dAXCpqayhLCz/4IPMZefO7KX0dNooLcXLrGmAwHr1+Pz77xEUdeuS1CQhQWU0PX2aue7SBQGxejXAMShInXcLCeHv6GjW6D//QTAGBKhD3C++iJDKymKs48YBOp2c6POpU+z3Vq1U8da332bsO3eyj1JTAdC2toDmr75iHxUUqPfQxaVWX/O/LX+6mWQ04jXu0oV31dmZ97BNm1vTfk0N79CMGexpK1nJSjdEXwkhhv/K9yOEEJ6XfyYJIRYLIYSmaS5CiDeFED2EEN2FEG/+HfifBCSlpSopiZ8fn8+diy4UEoI+YzDgxYuMRIYlJqL72Nsj/4VAF/H3R4Y//rgKh/T2hieVliKrUlORr0YjsrdrV/S4jAxk7z33oFfcf7/SA7KykKtTpsBPH3oI/rpqFbzO1xcdrGdPDMpRUYDMFSs4796kCX+PH6/q2hmNqs6xzK5pNjMWeQRFAjqjUWUltrz/am+e9dydlX6NfhXg6bp+WMBEYoQQUZqmLbhsUZqnadq8W9LDP0FGI0DsoYcIbwsL46UMCuIzd3eYR2ws3pBJk1DaL16EYci6ZKdPwzBWrcJ7ZDAAWM6dQ7GSIZCJiTCpsWNRyHv14rlZWXhqIiJQ9oOCsPacOEEiEBsbLEy2tijaFRWACQlSL13CqnXggDp0m5nJS79iBfedOcNz7OxgGv37AwzT02F4UvHaswfgdO4cHswRI+iTrvP8evVou2VL5qFRI5T0pk3xiPbuzb0XLwLejEb6N2sW46+qAhxUVcGMDQbGW1EBo23QQJWASEoCQIwbB/ATQhV+HzEC4Ni9O15IWeTd1hZQJc9FyrNoHTowzg4dEATe3qxlz56A+48+Upkuc3PxtA4bxrNdXFg/Hx9A1bZtXLt4MSC1vJw5k1a76dOxEn77Lf01GunT6dN4iF1cKASelqbCRM6exSMns1d+9hnjDQigLz17sh+iowGyn36KBfDdd1nXrCzm7bPPmLsOHZjvmhr2rYcH8/ndd3jqioq4x9aWkNLvvgMofvQR+6K0lHE8/TR7qqyM0M7p05nTmTNR2KU3etUqQKurq/JAJiaqcFfD5WDJpCTGqmn8LwVYbdDfnT/dTLK3xzgQEECkQWoq1uDmzW9N+x078r7JsCQrWclKv066ru8XQhT9yiXjhBCrdChCCNFA07QWQohhQoiduq4X6bp+XgixU/w6ULzldC2vkmW2SHkeb9gweMbx4wrEyLp1Tk4qk6QM8czNpfbs1q3quYWFRJKUlyPf9u/HM5ifr3IE5OeTxCw8HF4lZbLMNv344xjQ+/RBdr77LjIwOhpA+fXXyLLgYGTwiBEqLLS0FBkdEIBc/vprPvvqK9qdPZvQzK1b1dhkkfdhw7h22jSuuVaWzF27rl0Dz1oWwUq/RTeSZMVFCNFNCHFWCBF91c9fntzc8ODZ2vLyBQQQbrh8OUCkTx+sO2fPogQXF6Og5+bi6fv4Y17SwEDlGTGb8XJUV6OIb9rEC6tpeAhnzULx3rgRhiILEffpo2qx9OyJ8uXlBfipqVFhCmlpgKjsbIBcu3Yozt27q3N93t6AkepqmJi09mRkACC2bkVpN5mwMPn4YNG/dIl7ZHHyhASul7HvFRWARTs7xiPBq0ykYjYzLxcuAD4HDWK+NA3wm5oKyJHMp7qa81wuLqrm3rRpAMmiIgBwcjIMs0ED2pHZLp96in6fOgUTbtWK9ufOZW5dXQFVQ4Zw/4UL6qylzCLYuTMepaefBrAPHUqftm6lr19/Tb9atADsjRnDPBsMgOeICBjvffexj+LjiZV/9FHWRhav37aN8AsXF4wH775LqKrJBPP38wMQ9u/PdenphDWePavi8lu2BOTJgvBffkn4bseOgMuMDITB+vWEkQQFsYfCwvCEPvww/X7ySf4fMoQ1iIlhHqKiuP/MGc4D3nMPYTAhIXj4Jk+mD5GRzM+SJaz1ihWErMyZw16MjGQOHn6YkMAffmCNkpLYB4WFrJsQKkSlFulvzZ9uFsn3LCmJd1eG8Eprd21TaCjv2XPPWb14VrLSTaKWQoiTFv/nXv7sep//H9I0bZKmaVGapkWdPXu21jpqSZahg1cDFnt75XXauxf5+OWXALPISK4JDoaX/fILcmj2bK4rLMRwKuX9qFHItsceQ9726YMsjIlBBtrYoEfVqYOMKy7mZ+dO5JitLXpT69YcGRk1ioiUpk1V3dmSEnhq48bKYCtry3p7I5OTkpR+mJFB23Z2yOw33qB/vXtzndmswjLlT2QksnXkSAXYZJZNIQCCsv6dNTzTSr+HfhX/a5r2lBDiRSHEJ0KIx/W/UVV0qfBUVODG37SJl71/f5R0sxlG0b492YtcXQkTnDoVxTwyEqDw3//ykgcF4RE5cUKd05Pevp49UahzcvjOwwMgNXo0VqicHJTrnBxAhIMD3rLjx1GsfXxQkJKTYUo9egBQNm8GaNapw1k1mdDDyQlFPDiYcTVsCCOsXx+LVE0N3i4hVKhCbi5jbNpUeesqK7FChYYCTNzdYULNmvHs+HiuadNGJXfZvx/mZWfHM0aOpD/SC9asGYzYbGYNHBwAKBcvAuCSk2Gyqal8V1qqQJKzMwKgUSP6vW8fILe0lLAKR0cAjMHA3OXnA2JralAu/f3p18yZrNPx42qdN29mfEOH4o1yceHZ9evjrZNJRnr0AJRs2gR48vdn38gwjdmzaat9e77fsQNwaDTSTkoKPwUFeNZycxEmBQV4x1JS2FNduyKU6tVjnmRyDE1TZSe8vBAcZjMhIfffD+Br0wah8dpreEq3blXWxPBwnjdmDH0LCRFiwwbGdtddCNJ77mFuwsIYf04O3ruHHuLvZs1Yp65dmRcZXpqcjJFk7lyuX7aM8Rw7xlo0b85PeTnXClG7ZRL+zvzpZpO0hvfpgwfX3R2jw4gRKEpVVbXfh8xMQoattQ+tZKW/Bum6vkQIsUQICp3fijYta7hdXaxbfi+Eqo03dSpyX96zbx8yPyUFw+ikSXx25Ag61bBhPHfLFsBZt27cP38+srJJE+S7qytyNygIOdyjBzJxwwaVLGXvXnTEBx6g7YoKEu45OGBIf/VVdCZPT2RyfDx6w7hx8Lk770TeDRlCH6uqVJK4Hj04BxgdrQzDsvadTKLi56dCTyXJEhHyb/nd1cXOreGZVvot+i0PXrAQoqeu65//3ZQnoxFry3ffoaDHxfGirFoFI+jdG+CxezdKqMyIGR2N166mhrNL6ekovAYDzKJ+fWKsZfih2awKXrZpg/JcWAgz2LSJMMjERF7kykqAW1oaTMTNDQ/O1q2AGnd3mFNRkSqofuAAVqGKChRuWS4hLY3EG1VVAFBHR0DfuXOqppwQtDtgAGM1mQB39eoBGjt1QimrrCSr1OnTMMzMTIDGXXfhBbC350zY/v20Y2vL+Nq2BXTa26uQ1ePH+bukBAZta8szWrYkuYuDgyro2aEDIbDOzgCZpk15vkyKEhzM9Q4OgGuzme/vvx/gUl7OerRti/UtO5t5+/57xlm3LnOblARwOX9eCZlx43iGszPtyYyWpaWAk0uXYNLe3oS8SVDbti3POX+eefTzo589egByGjemH127Mu6yMsBm06ZY9sLCALdTprDmFy6wvpWVrL+PD2Np3RogFRVFemeTiX1XXs68rVzJHvXwYCwTJ3Kt3JPJyeyN1atZy+efZ967dCFk9eGH8VT6+tL3CRMQHpqmPNWVlYSjGI08s0MH5vvRR/GgpqTw3aBBCLpGjRh348Yq5NbBoVZf878tf6oNMhpROqZPJ4vcc8/x3twKcCcE79GGDVarspWsdJMoTwjR2uL/Vpc/u97nfwmSZRGEuBLcWYYaStq1i2Mj27djaDaZkDXp6UTwGAycbevRg8+lwdBgQF527sxnoaFEBj39tDIC33svoZd+fkTiRERgmP36a6JT9uxBdhcVoQsdOaJ0gMpKDKiNGgHOHn+cZ9fU0L6dHcZ5sxmDbWEhcvDll2k7Jwcd88gRjG7PPQdvlrpNeDh8WiZUuZpkKKcskXAtujpc82aSlYffHvRbAG+BEGKXpmmlmqaFa5rW8VZ06mZRgwZYd2JiVDHmr78GcB08iOJ86BAAQNY1O3mSEMuqKoBO8+a84MnJSmH38YEpFBerQtOVlfx94gTWo5oa2nzjDZTo7GxVMDw/H5d8bq7KXnn8OGDPwYFr5ctbrx6WqMJCmF5JCeDO3l6djTOZ+NzNDQW9QQM8ira2jEHWkXNwgPFkZgJUKisZk7c39x8/rsBfeLhKXGIwENYnPXmFhfzfrx9zcOyYikNv2lR5GJ2dGUurVjDfuXP5Pjyc9sxmQIKLiwqZ8PSEqZ4/T+jf7NlYx8aMoR8VFcxdbCyMUwjAdevWgHhdZ+3atmWtKit5ppsbnrHoaBXqGRpKP0JCeE5SEhm2yspov2tX1nDbNoTMl1+yBuXleLtkWuTu3Qn9lclfZM2czEzlwXN05LusLMI9NY216NOHs24pKeyDjh3J6pWejmf2scfYt927M6YOHZhvHx+8Mzk5jPuNN5j/NWt4Rl4eY3Z1ZXwvvcS6LV7MvStXcs0jj6iah7IA/ZdfYoCIimKtxo3jXZF1hJYvR3h26MC8nzrF2Fevpg2DQZVHqOXMin9r/nSzSZZLmD0bI5YMq5ZJh2qbamrYO8XFt6Y9K1npNqefhRATLmfT7CmEKNF1/bQQYrsQYqimaQ0vJ1cZevmzvwRdq9i50agKjUvAZzQi2wwGwFFwMKBr6FDAXVwcctpsRk/TNGTvZ5+he3TqhNz08MDgGBpKW2fPouOVlxO5k56O7J84EXl07BiROTLEsrAQL+GJE8jGPXvgnS1aoNvddRfG/mefBbC98QYAz2SiH//5D46D3bvRB8aMQc4ajRib585Vc9CrF+GdvXqhJ10LpBmNzJM8g2g5X3L+LOlmh2tawz9vH7oRgPeCEKKREGK2EGJOrffoJlF1NR4nJydCMAMD+ezNNzlPdOIECknLljCIrCxC4h57DMvMpUswlkuXsPrIv6Vnq6oKwNO4MQq8hwcMpaoKhappU0BPaChMoayM9vPz8YLY2vK/jQ2MymTi/rQ0wIUsz6DrCkjk53O9gwMHjbt0oT8yK+T27YCz+vX53aAB/Ssqoo8dOgA0TCZCUGWKfV0H1ArBZwYD85GdrQpb798PY2nTBmBRXg5IaNOGeRw6FEAWEACwa9cOq1tICGP67DPGmZ6OZ00IvFcNGgBkDh5UJQtatWKsBQV4rZKT+byqinE1acK4EhKYq4ICBIK3N+cCT5+GQU2YALPfsQNw1KUL6zBkCAJA0/DOZmfD6KdOVWUomjVjXGlpMPouXfhp0IA9NWIEQErTlHWxRQtCSNq3p88vvMD3Fy5gAezenb598AHz7egIQEpJAUQeOIBBomFDgPc997Bfd+wAbAYFAQZtben/9u0o8O7urGGDBggWTUNgOjoy7pMnSaTTsCHgrEEDgPKIERg8XnuN9W7dmvmcMoVyB9u3s2affsp8z5uHQBs+nPWwsQFgDhvGGoSH05/z59kvQtRuiKb4G/On2iDpTQ0KYm/u2QMfKiy8Ne1rGu/Rpk1W5cBKVvot0jTtWyFEuBCig6ZpuZqmPa5p2lOXQ8+FEGKLEOK4ECJDCLFUCDFFCCF0XS8SQrwjhIi8/PPfy5/9z+jq9/16xc7l33v3wpdefBE9Rwj41bp16CBLlgDCHBzQLfr1wxMnz7GZTPCZ9HRk9IgRfJ6aCpjr0AFwV1CAHK2p4f+gIPShvDx0v5MnMYIaDOgqJhP6QXIy8vPFF4m6adCAZz74IPL74EGiVkaMQMb5+8N7hVAFzQ8exFA6eTLzIc8my/IHlufppIfTMmOmnDOZddTy86vn2tJT+md5742Ef1r5+9+DfgvgGXRd36nreoWu6z8IIW6RLfjPk9GIi/zkSV6wFi1QSnNzUURat0ZpvXgRi07HjgCLTZuIpf7Xv3jp/fx4eTMzUa5NJgDeww+rc0cDB2K1vnhRhYZeukTIYkYGAOzCBV72kydVXHWdOursVcuWyrMkE4Q4O6NEOzsDary8UJ6bNGFMeXk8e/Ronl+/PoDm7Fn61bgxQEzXYYyNGtFmly6AkoICGFd1NUzKw4Pn2NrC5Mxm5umZZ/hMhoNmZgIqQkKYg6oqLGiPPsq4ZZFxeYBYMreKCuZ06lTas7WF6To40I6u45kLCAAgtmyJx+3wYXWO8amnaMPm8s7VNO4/fZpkMRs2MPbcXACoDMusriZc96WXAEEbNuA9e/FFxnTmjDo/l5NDeMSuXYxvwwYYbWio8k7t3o23LzeX8MdPPmFdMjPZC++9J8Trr6vzcitXMp8tWzJfH39Mu//9L3P02GP8v2gRazRoEP04cwZB88UXqgj8k08C+IYOZd5k9i0HB1Xg9euvWSN7e9p1cFChuGfPElp79ixjePttQKnM2nrvveyF4cPZX61bsyefew7LY6dOXPvII8yHgwMGlG++oS1XVxXKUsvg4m/Ln24GWSoIkoxGzsXKMN/KSgwStrZ8X5uAW9cJmRLCmk3TSlb6LdJ1/X5d11voum6r63orXdeXXQ43//zy97qu68/ouu6h63pnXdejLO5drut6+8s/K/53o+Bd/y2PjwQN8u++fZH177yDx0uWelm4EH7l4cEZ7+Bg7lm4UAFBHx+M5m5uGDBtbJA7CQnwIBsbQJ+XF4Bs6lTCMwcORNY2aYLeExeHjM3LQ+c4c4bjH87OyPX770fmubggY8eMwTHg6so5/x490AUGDuSntJTzzpMnqzwEQqBjrFuHl3D2bO4LDVUZ0a9X2056/GTdP8vvr+avvxYGK+n3gLLfAndWD9/fg34L4Dlrmnan/BGk6bX8/y9PFy6gMIeF8YKVlaGMdu3K35MnAyZkVqfCQjwdy5ahuO7fD+Dz8QE49OpFyOfu3QAEGxvuGTAAIKhpWG7q14dp1K/Pd23acB7P3h6F3dERRlZWhiJeVaVCm4qKaE+edUtNhQlVVwO8zpxhLDk5PEcWCC8qYmyBgdyXmYnFql07GN/+/Sjqtrb02ckJZpOTwxxlZ/OMqioYZFUVAGnlSoBqSQkgTSZfOXJEpWGXoZEpKSrswdlZHXrOz8cbNXMmf9fUcP3AgYSGpqfDIMvL8QK99x7MdPRoQiLq1ePe5ctZH1lawcsLz5iPD+n7/f0Zo0xDPHkywiI3VyXLcXMDpISFcbj6/HkA0b59PLt/fzx4bm6McehQPGZt2+IREYIUyDU17IeRI7knIYFrmjQBRN5/P/02GJj7XbuoKefhwZrcfTeGgs8/B3w3aqTCLe3tAa0TJtCP6mr2UEQEnsHwcPbgK68osNysGcIsOpp9cewYnsNTp+izpyegPDUVi+j69Yz3zTfpY0QE62oy8T507AiYFoJndO3KGs2Zw+833qCPCQnMRePGjN3fX5VNqGVF/2/Pn/4oWQp6y4x1MvOa0cje699feb6FUECvtigiAu/vO+9YQZ6VrHS7k/QyyVDCX7tOCMWr7O2JVnn9dXQFeQZPCCJWjh1DdsvopcmTVVSTzCgeEABf8/Li/kuX0IskTZvG75MnkZHLltF2t27oYm3bKmO6lxf/f/stkUAjRqDnTJwID33uOYBaYiKG5upq2h47Fln/3nt4CktL0YUWLuS5ISF4+oYN47lTpgBsZbiqTC4j9RXLLKNX18qTtQP79r322TwZwlnbYZzWBC9/H9J+LTeBpmm/ZhnSdV1/7OZ36dcpKChIj4qK+u0LBZs5IoLDsT16oBB36ICCHRcHWOnRg43v7o7HbcIEwMaFCzCadu0ALDI7pLSoyHN1NTX8nDoFmOvUCU+eTBd/4gQvfJ8+WIKaNAHE/PAD3py2bQFveXmquHlhIcDp9GkY2cWLKpQgL4/nBQQApgwG+urgABNzcqKtAwdQ7IxGwJ6rK2OMi1NZKi3T/xqNPNfDQ9X9k+GXSUmMq2lTldWzspJadN99xzzn5eHt1HUA24kTXNe6NSCuvBwrVk0N1jNfX8ICTSbGEh6OQlqvHp6l3r15/kcfwWS//ZZn3Hsvf//4I96/Tz6Bsb/wAgIiOhrQk5VFH9evx6tw992MPSsLT6r8ffAg59aGDAG4m80w6blzOWfXpg174MgR1vTiRdbM0REhkJbGs06dUkXvPTyYCwcH9suePZyJcnbms3PnVGYvs1nVjZswgX17/DghIuPGcf2RI1geFy1CkLRooTzB8kznQw8h5OS+2buXvT59OvMvM3vV1KhisF9/zXlAWbewdWu1b1q0oN2UFPolz2Da2zPfgYF4Nvv3Z6137ECQffUVfdY0BPLzzxPi+VukaVq0rutBv4cX/N35058ly5AdSwvu4MF8bzKxt//zH7z1tyoNjZcX7/Tnn/NOWMlKf3f6I/zpr0a1xZt+qx6bBBeWHjxp/HnnHVUrd+BAjKxmM/L/0CF0muBg5FdREYnlKirQH6QcS0/HEPzAAwCumBj0nUGDOBc+ejSetYAAeGB+PvKssBAP3+rVyEVvb2RheTmyrqgI+W1nhw5UVAQ4DAxEz5L6gq8v18THI++qq/neZALode6MEbi0FPkpvxeCaw4cuD5gsgzZlHN3I3P+R9bJSn9P+jXe9KvLrev6xNrpUu1TdTV1yz74AAZRUEACgJdfVlkdq6pUcXKZoCMuDmbi6kqImqbx8p48iWK/cSPhT6dOKStOr1543zZswGtmMMAgqqtRlC9ehGk0acJZq8aNYSaXLvGC+/sDEsaOVeF2JhPXR0WhMNvaAjSrqlCgpNfEz49rKyrok6xnd+GCCmO8dIl+5eRwjY2NKoqemwvwq1MHJlZeTginrFPXrh2MsLSUOWjcGAa3cyf9PHYMBnbpEnPZpAnhfufOwdSysvBeVVRwTefOgOXz52Fy588zJ2PHwnRlYpSyMsIxx4/n/9xcBEBuLveXljIfXl6MRRbkbtcOoC3npV07GKimMQcJCbR1zz2qkLeLC8w6PZ2+N2kCAB8xgj1x6BB98/ZmXk6eBGR++SVrM2wY4aGRkQAsPz/WKTYWkCTPbhYXM6577mEeHRywIObmEnYZFcWebdKEviQlsZfKygCBK1cypwYD5xifeIJ7ZOhKairXffwxf3fqhGATgrWR4XNVVfT30Udpp6KCdYyIUAlVZHmKu+7iTENUlCq1cfIk81RWxrXduwP+ly9nzior6asQ184QdrPo78yfbgZdLfRlIgMhAHr+/mSR9fJi/94qOn2aUOCDB1V9TitZyUq3J/3W+321x8dk4kz+s89ijN23DzBm+ZxDh5DVU6eij8kELGPHYnR85BG8fxkZyNY5c5A9wcH8BAVhmHRygvc9+SR9WLoUw+dHH6mi5H36IIudnNDxHnqIaCGZEXvgQI7uTJyoavUZDETHLFuGkXfaNAxre/dinJ0xA73nmWd4bmkpRl6TibZeeEF56EJCrgRuV8+p9GxKw93Vhj0rWel69FshmkLTNF9N01bKYpmX/+58Kzr3Z6i6GqW2ZUsU8yNHCI87ehQPVmkpoGn2bJT8rl25b/NmXuxDh9ShX00jlK2qCgvO4cMAIh8fXvqDB/lxdgYg5ebyUqamohgfO4bSEx3NM7KyAH4uLijXu3fTX3d3LN4uLniB8vNhJK6uytsnBKF2traE7iUkwCBOn6af0pPm5kZooSzcbmMD8GneHGVc/m9jg5Lv7c3z69cHkISE8Pvnn5kfNzeAh2XYQHg4YC8pCetYVRWM088PIJSRAUAKCWFcAQG0nZUFUxSCtfD2pv9vv037d96JAGjdGuVUFiYNDFQZIidMYH2FYL0+/hivW2Ula/bNN4QerlmjgLurK4Dxl19gyCNG0Mf8fNqvX595Hz0az+7LLyOEBgwgG5bJBHBu1441++orQPCOHcxjixbq3NOHH9JOXBzXurggSO68E2AYEwO4+/xz2oyNZU5raujP4ME8q7xc1bnLzuZ5CQkIpxUruMdgYK23b8fYsGkTQik8nD0ZG4uwiY9nbhYvZjwyiY/M7vnhhzx/wgTW3t0db6IMB+3TB2/d0aNcGx8PuNuwgetKStgDsl6jEOosXm3R35U/1QbJcKnqatb2449RhnJzUSpsfpPb3xwqK8OzfwuK3FvJSv9T0jRtvKZpTf/X/firkyUQsbdHrtrbA35kchKjEWP7wIHIM1k3TkbVCAEf8/ICmLVujayePRsZlpyMMXL8eO6rXx9ZGR7O76VLMa5mZ6MHvfYaz5Wy8a67kF3ffQd4a9sWGbh/PzpMVBQ6xJYt3Pef/9AXWUt5717amTwZHrx+PYa20lK+nziR/j91OYXO7NmKR1qG2F+dbOXqQudXh+bfCP2eEE3r2brbh35V5GuaNk4I8ZMQYp8Q4rHLP/uEEOsvf/eXpepqQMTu3fyMH0/s8t13413y9gZsvPceL+zJkwCTunUBJ8HBeIReew1l198fMCIzS2ZkYM3ZuhWwV14O+Bs8GKW6Z0/CDHr0oD/vvgvDad+e58uzezY2gDyZdaljR74/ehQPjcmE8p2crBJWHDiA56umBu/gJ5/guWnZkueFhuKt0nWAaUEBynmzZvwtM2oaDOocWUICjCgtDUY2fz7PcHBQZ+uMRqxhZjN9NplQJEePZmxubjCv5s0BL0VFqsbbmTMA4pQUmHq9engQe/ak7ykpWLtatYLJ7t0LcFuzhn4XFQFcyssBrWYzwNlkAmDJFP+5uYA1o5FxlpURortlC6mMXV1pT4J+6b3UNABsbi4exY4dyXT58ssKZH30Ede2a4e36/XX2UstW7JvLMM8GzRgH/j60n5JCXty40b2lqaxjv37A7BjYpj/qirGcukSzz92jL3r44NAO3yYNYqNpR+xsYSBTJ/OXNja0ve+fQGO0ntqY4Nwa98eINqiBWDN15f1HziQMb74IvPv48O78sADAOl+/bC02tlhnXz1Vd6Hp59mPLJcxLFjtCtJnuGrDfo786faIGkpl2sRHc26lZayP2v7/J0kGd5taZm2kpVuU3pICBGraVr6ZePSJE3TfP/XnforkSVgMJlUlkkZqbR7N8aowkJk7uzZyPp58/hdVIRXTWb93rIFXSMzEyOnkxP3PPYYRtfcXM7MlZQgzx55BD5UXIwMDA0lkumzz5CV8sjI6tU8PzMTmf/LL+gJ48ahG/z3v/BVDw/k5ccfI+927KB/ffsS/RQaii73+uvocfv3o8vFx6MfyShZGVGzdas6Oy3BnARwpaX/t9yE5PGWXtHfAmU3em7OMpunlf7+9Fs23f8KIYZcztiUcPlnuRBiyOXvrkuapi3XNK1A07Sj1/k+RNO0Ek3T4i7//OePDeHaJF/6wEBeSBnqFhWFcrtjByCjsBDLSmEhL6AsG1CnDt6M5GQUlvh4FGxpfZkwgZcwJQWPS2Wlqq2m67STno6C6+GBUuzvz+cPP4zSLWvVlZXhQbS1pc169QAr8lBtRQXKdGUlINLWlj65uDDORo2Ucm0woIRrGsyxtFQl4dA0nnX6NKF+RiMg5OxZnu3np5IxlJQowFtUxHgvXoSx9OwJcCwsBDBu2YK3s6CAtr75BmZqY8M5t6IivIC7dnF/794q1PDIEdrr0oW29+8HdEmGV1QEs2nYEMZ99Chj8vamfVtbzqb5+XGdqyvAsE0bAEzXriQDqanh+Xv3AphlUfcHHsAbVVZGnwcNAmS+/DKeyhdfZJ2Ki/k7KIgxtmrFM2Ttwkce4bk9e/K/qyvAycsLo0CXLqzVAw8Ado1GQFKdOszTffcR1lhYCFAsL8d7eukSns/Tpxlzs2as4Y4dCCB3d4wIjRsjRCoqmKOuXemntzdz06gRAlAIwuZCQghbOX6ca+LiWN8ffiBj56hRrMH27bTv4AA4fP11Ph8zhn7OmkXYzPTpzGH9+rwHch/Jkhi1RH9b/lRbJK280dEA7x49UGDk+dZbBbh++olkK9ZEK1a6nUnX9bt1XW8p4DnbhRBdhBArNU07q2nalv9t7/73ZOlpMpkwRn/6KTJ81y7AXf/+gJ1Dh5CTU6Ygbzp0wICZkYHscnZG/rZvj65TVCTEggU8+4UXiJhq1YpIrZYt0VnCw/H2nT2rErk1bqyOX5SUIH9jYpD3Njb0MzsbA6eTE3J0wgRKNsXFIXOfe47rvbyIFHrlFaKCSkrw3JWUcL00dh46hO63ezfyUWYur6zEgNqz55VgbcEC5O6CBVfy0Oudx7sR75zV2PbPo98CeEZd17Ov/vDyZ79lD/5KCDH8N645oOu6/+WfX1XIfi9VV+OV6tsXZXn7drwnOTl4SWxsUJAvXsTa4uKC8uzsDBCSRbfXrweUlJVxPur773kxf/gBBT0gAOXZZIJ5mEw8w8cHJVceqPX1hdHUqYNX6tw5lOELF1CCU1NhGJ6e9NfWlpe+cWPGIw8ESw+RwcAL+9RTMBOjkRCDBg24VtasMxgYT1KSAiMGA+GMFRVc6+jIZzK7lfSuxcXxmZcXVibpqdm1CwZ44gRAtLqaMXfqRN+ys/m8qAjQV13NvW3aMI85OTA8f3/OgZWVMf70dNbh1CkY9euvA+wiIwF3Fy7A3AMCmDMXFwD4/fcDoP38AOIlJQCpoUN5Zk0NYxg1Cs9n/foKAEZG4oVyd8cKt3s3++PsWeZy1SqAW1YWAsHHB2+v2axKMcycCZM/eJDvhWD9srMxMvzyC2C7aVOsg0Yjcz9lCvNaVoaHt1EjwO+pU/T9/HnmLSSE+di9m7ARmcCiqoo9VVPDPDs7M87jxwGoNjYImGPHuH/UKIwZixbx2ZIl7PkpU+iPrrN/Fy9m3D17si7Z2cxTejqC7MABxpSbyxrs3ImhIzkZYdy2Lc8TotYV/L8tf6ptGjaMfeniwntpZ6fW5FZQRQV7xmoJttI/gS7znBghRKwQIk4IUSCEcPgfdul/TtXVGLxlin97e4ykL7yAThQSovQYOzuVLTIqCsOUnR2Abto0DMKdOpEl8777iEz48ksA4yef0FanTir7t6ahZwwZgq6wdi2yV9ZsPXQIcNWyJW2YzfRj0SLkuxBEFMXFoQMuXIj87tgRXVKWjPr0U+6RJRvS0tAtRo7ECCrP8I0cSejmtm2MLSyMqKr0dJ4ZEYERee9e+vHss+h+MkxVzuf1gNzNymp5vWLqVvp70m8BvGpN09yu/lDTtDZCiF8V3bqu7xdCFP2Jvv1pMpt5CTdu5CWuXx+P3oULeFHkebALFwBcLi4o/adOofgmJnK/rHHXsaNS0E+fRklOT1feiqQkQIGjI2CjYUOYjJ0d97m6ArBychRgyMjA/S9DQxMS8NoYjXi3HB1p18YGL1n37ij0TZrQv7VreeahQypzpcnE70aNeM4XX3B/ZSXMpV07GKynJ20WFNCf2FjuadwYZtmyJd6rDh0ACAcP8nlFBUCkogLA2agRcxcczFy6uDA3MonM6dOAAD8/2m3dGia4Zw8eO4MBBtmxI3PUvz8eiGnTuD83l/7J9MY2NgA5FxfWsF8/PAayfuHIkQiBrVuZGxcXANuWLSpxTGAge6BtW0Jxvb0BKBERzONDD9Gf1FTadnMDSGZlqeyi+fmETAoBeJKZTZOTAWw+PjDLbdsAoD/9BPgaOhRLZe/ejCc4mD55e5OFy8+P+SsvZ77//W/uq6xkL7Vpo2rtNGmCt+7ddwGVP/+MQPXywgLZqRP7cvNmvIwREQg9Ly/Wb/t27m/Rgn1ZWso1zs7sWWdnQOKSJaxbcTHrcOIE98fFYQ3t1o1nNmxIn/z8mJdaBnh/a/5UG2R5RuPLLxH8//oXPy4utxZw5eayn6wgz0q3K2ma9qqmab9omhYhhHhFCGEnhFgghOii6/qA/23v/jpkWdtNhmdalgbo3195tIKCMDLGxSEDP/sMYPfKK5xhf/ZZ5FpGBscmzGZkVPfutGVri0fQywtZfPEiR21GjVK5GZo04fNhw9CxjEZ0nc2bkZ++viRQyczk/0OHkPVmMzpD+/boMjNmoC/6+QEIJWAVgvE8+aQCaImJJIORGTSdnAC748djTP38c6J+LOcoPPzK83hXAznJ728mXQ/cWfn4349+C+C9KYTYpWnao5qmdb78M1EIsUMIcTNClnppmhavadpWTdM6Xe+iy3HtUZqmRZ09e/aGH15URLbDs2dR1O3tATElJSi0NTUqnFKGthmNWF0yM7m/c2dVY+7UKTw9NTUAi/h4Pg8JAeTY2HB9YiJWHzc3FPnDhwFRJSUAyV69YGJ163Jfjx4AI1mAfcECLETnzqFQaxr9LC9XVnhHR5hifj7fOzuj8HfogCKXm8t3deoA8OSZxJQUwNrw4YCfS5e4zsYGBpmdTV+jogBmPXoAthITVWbLBx4ALDs7w3B9fVUNGVtblH2zmeedP88Yhg5l/vPzAUklJVxjNtPn++5ToPXUKRXaV1zMuMePp/1776UtFxd17m7cOPo/aBDexQULWJN+/RivjQ0gRnrDTCbG1bAhDFfWwjl+XIHpzEwAWrdugFM7O4ROSgrMvaCAsI2EBBh7bCxtZ2Sg1K5YQTu//MIYVqzAAztqFMBz+XLW+NtvmQPZblgYfZHF4+V5x+HDVZH1EycY66RJ/B8fjzAqLwfkLligwn63bVNZuyIiAIuVlQjEnBxV0sHbm70dH0/7bm6A96Ii9u/nn+NBvPNOvICPPsp3us7eKi9nL5WUqEPrQtR6kpW/NX+qDZJFhJ2cVCKDfftQhGS21VtF1dW0vX27VTmw0m1LE4QQrkKIbUKIb4QQa3Rdj9V13fy/7dato+u929IbJGu9CXFlcW9Z91dm/vbzwyh14ADG3aefxoDu6YkcadsWmS2vk8ajLVvQ7x5/nP8HDUIu//QTRulz53i+2YwMa9ECeVVZiTz380POd+uG8XTzZsBl27b8n5OD8dbGhuuFQM87ehR9p107/l6+HDkeGMg4v/kGj6XMjD5gAHz5wAF0EcuzdZGR6FYS/FkCOiGuBMiW8y75fW173H7Ne2jl7X9d+lWAp+v6BiHEPUKIgYKQpq+EEAOEEPde/u7PUIwQoo2u635CiPlCiOs+T9f1JbquB+m6HtSkSZMbbsDZGaVV01Ta/969eTk7d8Zq0rQpP46OvPgbN6L0VlaqQuJSaa+pAbC0bMmLqGl8/9lnMBE7O150b28AyI8/qhp4MoNk06Y8OyYG4OnlBTiQWTUdHWFuRUUo9H5+gDUJjgoK8BLWrYtVyWSiP5qmErFMnMj3Fy/ynMxMVdC9Y0cAmyzX4OLCXHh7wwRlZk9ZLy0tDcY4aBB9+Ne/UOAzMwnty8zkR9OU9y48HMvY6dOAubIy5kV66erUAegUFeFFa9IEhi0zgTZpwt8jRgBOunXjuTk5MM3t2wGBFy7A2H/5hTXq3h2mbGsLg/35Z8Zw5syVmT/vuosD1Q4OAKd165i7hASVVTIjgzl68kn+zs1lHTt04PPmzdkDnTqxhs88A9AdPhxwbDLxv78/ntiGDZm/hATWccwY1qh9ez7bto19IbNpenuz/pWVzJNMXrJjB3sxJob9ZmMDKK+qAsgfOoQHc+9ewjTNZgBsWBjPe/555vbrr/nt5sZcdejAd336IGgaNAAoNmuGMUKevVy+HEvnf//LPDZtytqtXInQcnZGcMtC5+7uf4w53Aj93flTbZBlJk17e/ZKYiJ8T/LBW0W5uSrE3EpWuh1J13Vvwfm7KCFEiBDiJ03TjmiatvSysem2JsuIgV+7JjRUXWM0ItNnzCAD8+7dGL2PHkUu9e0LMFu8GPmRnIyMnTFDlaySJa527UIGtmmD3lNdzfGC48cxljdvjtw8cwZZLQ3bDRvCG3fsQI9ISCCUUkZaVVbyHBmJdOYMhm0fHwysZjPXbN+uQN2kScjiAQNULoRPPsG4HRqqxt63L/JYAl0h+CwiQnnrLAHdtUCcTIYi6+j9WZD1R5O03MwC6la6+fRbHjyh63q8rusTdF3vevlngq7r8dcKjfo9pOv6BV3XSy//vUUIYatp2k1TB4xGFE6TiRdQAqEOHQArFRXKQ9KoES/JkSN4VzIzVc03Jyd+m838LS06mZkAiXr1+N2qFd4hTYO51NSgwMvCmQ89hDfP1ZV7qqr4adUKUJaWBnMoLuZlrqlRxculki7PfUmv2ODBtOHggJWrb1+A5mef8ez8fBhZo0Z4kBwcUM6zsgBM+/bRdr16eLs6d8YzN3o07ZvNKjlLeDjXdu3K/QUFMMfz5wFVo0bRl9xcVSz+0iWAnq8vli8ZnnD6NKCseXPmsWlT2q2qgklnZOCpW7sWcHHpEn25eJH2hw5lPR95hLlNTWXcMny1ooJD2d7etN2mDeOfN0+d8evYkb65uPCcevUAlMeOAWpcXbnv4EE8WPKs5j33sLdOnQLIJSYiQA4fRhg5OjKenBwsgYWFCK1HH2UM0dHswYULaef4ccD/G2+oc1IS8L30EnviiSf4bto0ktbk5THv3bsDIEePxgK4cCHhmG+/jfWyUyfCMe3t6dPGjWQZc3dHePbqxZnSPn0AvHv2sB4DBtDX77/H61i/Pmt8+DD/L1nC/lu2TJXcCApiv9Wty9jleYrk5Jv1Rl+b/q78qbbIUhCbTCgWrVvzXo0dW+tJb/4PPf20SpRkJSvdjqTrepGu65sEUQOvCCF+EBiavvyfduwWkAQfEmRcnRBEKv9ms6r5Ju8bP17pN7K0S3g40SZ+fshoeWyifXv0M5lkzs8PeZieTiRTXh5tR0YiE8eMQUY3bco1x49jcD90CFnm60suhEmT0GcaNKA8wvbt6vyenx+y/dAhnrVmDTK0eXP0GXt7EqlkZODxO3KE5zk5IXf/9S+ea8n7iouvBEmSV1t+djWYkkY7ObfyefLc4LXCNi1//xb9mSQtN5qd00r/G/pNgKdpWi9N0+6WtV40TeuiadoaIcTBP9OwpmnNNU3TLv/d/XJfzv2ZZ15NJpMCWP7+KNQ7dpDeVoa5XbqEUhwcjMK/cKE6lyWTcjRvDkMoL4cBOTjghUpOBtDUr4/FRpZMqKzEKnTpEkygoABwsWaNAo/+/rSZmMhzdR1AUlwMQ3F2RnFmhmhHCBidi4tSmuQ5t6ZNYUYmEyCna1cFdo4cAaBcuoQiXlMDwzt7Fg/OwYNY0cLDeX5MDM/u2RNvUPPmgCBfX3XuzWCAqZ0+rQBqo0bM3c6dhOhJ4CzPvTk6AsZkMo+cHPp57hwMwt8fEFhcrDxsu3fzvfSYOToCIIcMYU4cHenjk08CPGR9ufXrleerrIz+L1vGdY89xryvWsX8yBDG/v0JYUxMBCBVVwPiwsJYt8pKId55R2WTzMmB0a9YgXCQgszNjb3zwAMAqt696eemTYB8eZ4zPBzPqtnM75ISnvnww+zbqVMRHvLM25IlhJbecw+K84oVCJwRI1DgzWZq/eTm4ul84AFCQFu0wDPYsiXe0cce43C4pyf7y8WFfvbrxzpu2QLIPHCAPdu8OesQHKzOLXp5ARSTkniGjw/jSkriuR06sF+bN7+Zb/T/pb8zf6otkpk0d+/mfZs3jz1SXs762dndur7I87Jbt1pBnpVuP9I0baymaR9qmnZAkFjlUyFEYyHE80KIWuZ+fw2SKfurqzEuW3rq5OfDhqnkHVu2wJMGDEDmCIE8EgK5Pno0kSIxMRgxV67EW3X4MIbJIUOQuyYT8v3/sXfeYVFd29/fZxhg0EF6k2ZBwK4IClbsGo0mppebbpoxvd/fTU9uuonGJBpNz01P7L2gYgURRRGQIkhTkSbCUIbz/vHJfvfotSUR2531PPNMO2efXdda37XWXltm1/76a4yMO3agf0nPoRAYtpKSAF01Ndz/wANEotTVIbPuvBP98IsvkNclJSrp3cyZGGmdnXleVBTXf/01srxPH/SDTz+lfevWqaOH3n8f2VlZqZ4/cCDy1ZZsk5ucCPji4hTIk2BMJsazBYJ/5Zy8vwvS7ODu4qXTAjxN094RQnwuhLhGCLFY07TXBPtbtgohOp3h3u+FEJuFEBGaphVqmna3pmn3a5p2/x+XXCuE2K1p2k4hxHQhxI26rut/rznHk9GI8jlgAEzIzw+PVpcugByZkt/Pj0VcVoZyLl30GzagWB85ohKLmM0ABqsVphUSgoIswzYdHSkvKAgLUEkJ9x87BmirrgZ4bNoEwyktVaGbso4HDqCE5eejkHl7AypCQtT+KXmYp5MTZaSlEZJYWUldqqvV/rbgYBXbnZMDyIiLw3MUG0sZfn4wtU2bAH5dutB3K1fCSD77DMYkw0Dr6mhjaCiet8RE7jtyRB3E7uRE3YuKqGNgIBatnj0BVZGRWP9KSgAISUkwpgMHePaMGdQ1NBQmKcHk6NF4x+bPB2jIs9wKCgBD331HGmMXF9L3T5gA2GzfHuAyeTJljhnDPdOnw4xnzKDOt95Km6++GgXVy4v6DRkCML76apKa+PnRv9dcQ3ubmgg5+f136lZers7l6doVoF1SAjPt2ZPnyzTMffogmEpK6Ifbb0eIvPqqEP/+N5bCrl0BZxs3Eo5ZX48wNBoRTH37ImAffJD5MHcu9/z8M+A5OhoBlJWFcSM/n/FvaECgrl9PHy1YwOcrrqDt339PeWvW4HnduZNxCg5m3t5yC97W7dupd1ERbReixc/Bu6T5U0uS0cg6efJJvk+bhgGhSxfG+HyFTmZmYshITrYDPDtdlnSHEOKwEOJpIYS/ruuDdF1/Rtf1+eIsDOiXC8nEIHLfrxDKo/fII7xLw5OTE56u9esBTlFRCjTJ7Jp33YUsHDQIXnXddQCqvDzAWUYG8rpDB+Sotzcy1dERneCdd5QhevhwDI2hocgoq1WdQXzddegM2dnI6rVrORv58ce5NzMTcPjjj8jYl15CF4iNZQvE3r20Z+RI2vzQQ+gScovCrl3wXKMRHjhnjtoXLcMu5ZERtiTBmhBqj+KgQQpMm0z0k/Sc2iZbOdk5eWczfna6/OhMwzpOCNFb13WLpmkeQogDQohuJ0tNfiLpun7TGf7/SJBtqsVIMpNNmwjBy8hAYY2OVtaV9esBKhUVeJaOHWNBzZvHd6OR/8rLATAdOgCiXFxgFseOwVx27uS/sjKyF372GUBh506eXV3Nog8PJxRSZl80GKhLUREgSS60Q4d4Lynh+a1bw5iKimAIycnUwd+f7+XlWMEeeIB7y8sBhN2747X5+WeYUk0NYX+9e/O8qirqb/hDFB05Qn3btAFItGrFM/38YBpJSdTD1ZW61daqM/nkWVvHjgE2qqrwRNXUAPo8PWHGCxdSfmkpQMnFBbDi5AQT27cPZvzzz4CQ0FBAbffu1M/Hh+c8+ihj+vrrgBkfH6x+X3wBiNu9m3HUNBj5mjXq2Idp0wB3t93GnIiJoQ++/RYA17kze9ECAmhDcDB9OmgQ5+bt3YuxoFs3wOaIEfTH9ddTn3/9C+D4+OMw/cREnjF0KMKiSxfCMJ2cAMv9+6tD1Jcupe+SkrjO3582PfAAXtPmZp7Xsyf1GDyYug8cSMrmiAgE3ZYt6hiL3FwA5GefMfbyvLqwMJ43dizgvVUr2iq9fvHx9JPBwG+ffUYfrF5NvV1dqV9SEmAzNxcPX1oa80kCvRaiS5o/tTTJMM3HHmOs6urgQzIa4HxRcjIGDDvAs9PlRrquT7L9rmmau8DgdLMQorMgAcv/DJ2Y0n/oUI5kMptVqOHAgWpP+H33wR9ee42jhl5+Gb1pwACiYFavxiAZHs41b7yB7tS5M+GUQUEAr9hYZOWuXfC3ykrk4J49/KdpGCoDA5HDxcXoIwcPUt/AQJ7T0IDsffxxPHYLF8JDJ05Ep5g7lzZu3Ihe5OWFPGxqAnBaregz/ftzndxLLwT898sv+S0jA+BZU4NRNjJS9aHcXycE8jchgfcTvXsSxMnfTgR0dtBmpzNZmCy6rluEEELX9QohxL6zUZ4uBmpqQkFt1w6gI8+FO3KEULn33lOZnWprAXM1NSjZu3YBqoSAgQwdCoM5fBgFqaICZhISAvBqbkZRbtuW58ydi0fp889hLEePAj6iolB4f/+d+2prAYSbNgGyNA0QI7Nv+vjwuVUrGFFlJUCroQFA5OcHcHJ3RymfPZt2ODhQjtw/l5VFGbm51CU8HIbbuzf1HTUKhlNbCzNsaqKd/ftTB5OJtqem0sbOnWF6MpFD586AojFj6Ac/P4DtgQOU7+kJ6JRA5fBhlawmLIxnFBUBMDp1oh1t2jAeklFqGnU0GPBCWSww0rIygE9tLX1wyy3q4NPmZsZbChZfX3Vm3MiRACSrlXDOsDD6KDKSueHsTKjkvn1k+JT7JmW46VNPYVFMT8dT8uijlDF6NO0cNw5gt3w5r/R0QN/69ZSVmEja55QUhFqvXrwOHGA8oqKo18aNtHXdOtodFqb2COzejYXxs894rhy3X37BItmvH2CzbVvG+447eMa6dXgda2sBtAEBAM1HH0XYREczRvIcv/37MV5s2MBYtmqFsJKpobt2pW9ychhHW8HStmXVm0uWP50vMpsxZkREMKcbG3mXR7vIEPCWroOTE/PODvLsdLmRpmkumqbdqGnaAiFEmhDiPSHEq0KIoAtbswtLEnzI6CEJQsxmDJRDhgDuGhrQfz78EFkvt6sMGYLx9KabAEPDh6PTzZuHTjNwINelpKjDyW+6ic///rc6487BgWf6+MB/XFyQjcuW8fykJMpwd0cfkEbkHj3QU77+mmulHjllCgYrIdCpVq9GV9E02rJ1KwnLCgvRNeWWFycnlSnz0Ucpa906dJ6MjON544gR/30e3YkhlzIU9mQZNv8s2fny5UlnAngdNE1bIF9CiPYnfL9oSWZqOnQI5dpkUufgVVWhlK5cybXl5SisMlQzIoLFLI8C2L0bUOTgABNwcyNUYM8egNbevTCligq+t2sHGPL3554+fahPbq5K2lJerrJOXnMNgCgwkLKqq3lvaMBLWF2NQnbsGMynRw+ulUc61NWhuLm6AizlZuOCAq7JyMDb5ObGd5kJasIE7i8uViC3dWtS4efkwLRcXfG0VVbSju7dYTxPP81zeveGYZaU0L4jRwBRAQGUKRlhjx4KVAwYANB0dMSD1qoVQPqGG2A0N9xA3377LfHsvr5qH6Q8iHv4cBhqXR1999ZbAOXlyxmHjAzGws0NZm2x0A6rFYAWH0+WyKwsvFfr19O/hw8Tmti+PYx6xAg8iT4+zIuXXlIHwbu40LZOnQD1jY3Ud/JkQKLMePnFF4C2Rx6h/ZGRMPg9eyizTx/my65d1DMvD7A6dy7n95SVAZSuvZY9ccHB1LNtW+6/807A4C230KcTJ1JGQwPPNhrx7vr40B/33AOonDePejk58XnaNPq2oYHy5Ub4ceN47qFDeCjbtGHc/f0JzUxPV+c1VlQw1yTt39+iy/yS5U/nk7y9MUhMmADf6NZNWZXPR9BpeTlzb8AAu1XZTpcX/bHfN0uQSXOGEKKdEKJC1/UEXdebL2TdLhTZJu2Q7ycDEJs3Y1AWApDU1IQMv+UWDJSJiehk99zDa+5c5E7HjvCxV1/l3muvRUYGBqoonTFjkN+rV7PlICAA2bdpEzrY11+TiOWZZ9ATAwPZXpCbixHZ0xODaI8eyNI77sB4WVuLbL/nHvSHp59Gfn72Gd45aTh/+WX0l4kTeYb0bCYn02b5XXr8HnpI9Z303kleaXvUhPxNev7k8Qt/F9zZM2FennQmgDdRYI2SrxO/X9QkvVNeXixsg0GFlH30EeAiLg6vyIABgKm6OhiDBChHjrAof/mFhV5WxkKXZ9RVVcGEnJyUN6+0lAUpD6/OyMAzc8cdKOfV1YAPeS7V9Ol4lLKyWGR+flwjBKCgfXsAkYsLFqmCAjxbTU0oT/JQ8m3bULa7dFHHPvznP/SD9CDW1mIV8/WFkYwfTx2vuYY6797Nc4YMgREZjdSloUFl1jxwgD6UmSj9/QEmO3fSN/Pnq71Xa9bQz2lpKrNl69a0qb4extirF+1LSIDpP/ccANtkQhk9fBiGtnIlYYdt2gDGZs/Gw+bqyr6zDz4AKC5bxrimp9PO4GAY98MPM24FBYzbk0+qJDT19Yx/UxPjV1Cgrrv/ftq2ZQthJBMmYJmrqiKc5PvvKTc/n+vatYPxjxxJGePH8720lLboOp636dMRWhMnqoyv+fkAzl9/5Vn79yNQrrySfQXXXYfg69qV9gYHq32T7u78XlXFnM7P5zVxIkr+sGHULTERb3ZAAH0YEgKo7dEDwOjgwHyRRyQIwRry8qJe7dtzz7x5CDRXV8ZMjpPt/q6yshZd4pc0f2opsliOD8OsqcGAsWQJ8/zTT1FmwsLOX522bGG+t/DB93ay0/mmLkKICiHEXiHE3j/Ov7tk9uq2BMnMmjKE0GJRKf3lmZgyccj69egUNTXwh7VrMRpGRKBz9O6NfuDkhHzbsYPvpaUYW2+4AdkTFKSO8JFRPklJhID6+yMrvbzQgVaswMDr5MR2iV270G3y84lUuflmDOwuLsjq1FSePW8eMi47G1n59tvobHFxGMQ3beLa1FQSw0RGAjQl+Bo+HDn/7ruqHxwcaP/atch5i4V2y/2LtgBZJlmRe/Luv58+PhtwdzrwZs+EefnSmQDenbqurzvV67zU8C9SZSWWnR9+YPE6OaHAHzjA908+IaZ782YW2fr1AA9HR7xlxcUoQ56eeGiuvBLLUefOgIajR3nv3x9mIw/NrKuDqYSFqXPl7rsP69GPP3Jf69Z89/ZGUTYYCNuUG4VlZs6uXVGMpOewvh7g5O4O2MnOxrui64AwX18+S8AXGsp3Hx+YyLx5eMseeoiyJONdvpy2OTnBCNavp48OHKC9RiPlXLZdAAEAAElEQVR9kpgIAMzJIcmH9JwVFgIqJkzAauXhQbuvugoQkZZGXaZOpS2rVlFGdjZ1W7eO/tY0rGmVlQCHa67BYxQUpLJmdenCc7//Hq+h9Kb16AFoLyykDz09CdeoqmJ8XFxgrAcPwmj37OFZN99MHcLDATMdOuCJ8/aGmcfHw0SDgrg2KAigWFEBANu7l/GQWbOEoA5SeN13H0KpTx/A8LFjgNbwcPpY1xmb995jHCSgfOstBJPVCgDdvZvv+fmAsfh4QG1+PvPa3V2lnJZembIy9gu6uAC6FyxA0Hl7IyS/+krtYViwAMPGTz8RUuLoSPu3bsWzV1YGsPP0ZPwKCvjcsSPt+P13hHRVlcpcJoQ6LqGF6JLlTy1FFgvW4759MSzV1BBmGx7O/488gkc6KwuD1fmiefNUkgU72elyIV3XewkhrhdCuAohVmmaliiEcNU0ze+CVuwCksxeKYHJ+++jH0kjsPx93TqM53V1GDylIfiDD9hX/vnngLRDh9h7FxUFcBwzBj1q3TqM1QkJ6igEDw8iWnr2RB/KykKP6dYN2SQNoQYDOkBFhUoKFxTElgapJ9XUALA8PZHPQqA7HDrE9ePHox+ZTOiHe/fy7Gefhc+6uGBsfvdd9vIlJFDmtm3Uz2SiPHlm3iOPwCN37kQmJySo7JlC8DkhAa9kTAx9czb89GwyatrB3eVJZwJ4Pc5LLVqA5N6w2lqU0agorELHjsFsHB357cYbAQpNTUoxlglBFixAge3TB6XWZELRbdOGBS29P926ASZcXfGovPceoCI6GmvOtGkwksOHebavL8zG1xfFXe5Bi4wkJM9gYDGnpsK0QkNR0Ly8qGtBAd4VuXdqzx7Akr8/QGzVKuqclkY7PDwATUJQ919+wfNnNsPUgoMJ8fPyojxHR6xaJSUw4KefxvNjMNBHWVm0JziYkE0JLHfuhDm3bg0DlklogoLo35UrYUqBgcTAl5UxJn5+jNWUKTCwujr6adMmGKTBQL3vvx8wERQEcJdezdRU+kjTGJcePfi8bx8etqefpu/79aMfkpLog4YGmPnHH2MpTE1V59ClpxNHv2YNAsrbm89WK2VPmMD4TpmiPJlyr4G3N9myiovxwI0cyX9PP41ybbXiAayuVolScnNpX0MD4R/vv881/foxT7ds4ZrcXMY7MRHBUV7Of2VljP+aNRguTCb6zWgEpM2axXNHjGCc3n2X+/z9uWb4cISszDL26quAhLIy6jxnjpr3Y8bw3A4daGNoKAaLtDT6w1aQdO/eosv8kuVPLUUmE4aHNWswEixbxnq6/37mWX09CkNlJTzG01MlWGpJ0jS81f/+t92LZ6fLi3Rdz9B1/cU/Dj1/RAjxtRAiSdO0TRe4aheEbPm/0YguMmwYcvfhh9Xvw4cjdzMykBP+/kT5vPEGkT1vvqkMsunp/DdzJjJ1/nz0jqQkZGanToCe6mqu3b0b/WDFChVRFRdHWc3NKtopPh7ZFRpKnVq1wmhaWMhWiylTkH0rVwLoli5FX8nPh4/Nnq2OeNi3j8iIZcuQrX36oEvccw96ysCByNfZszGE19Rwn5MTEVNmM/V86imMuDI0U+5lTEykDKuV8k88/PxUY7Fhw9lde6mR3Vh4ZtJOl/lb07QMIcRNQoiTbsXXdT2lhep1SoqOjtaTk5PPeF1NDdaUPXtU2FhVFZ8rK7Gy/PILyvPixSjAzz0HSPPzg0HExXGNyaTSwh85gmJ74ADALCAAZuDlhSKVm8vzvbz4vW1bnufmBiNycKAsNzfAZ00NSpf0oNXVqfJuvpmwBS8vQFN1NYqSpgFiqqoAUNITVlyMR7BDB+o1bx6LwGzmmXV1MCCZWGH1arwysoyYGDxrBw/CPH18uM7PDyZZV0cdCwsps2NH+ik0FNDl6Un79+/HgxkeDhjt1w/A4OYGiD10iPqUlanD1GXIRocOeJfmz0cZ3LiRZ1osMMW6OkJHpUfSaoWRRkYyJlddRVjuL79gjWvVirb06sVnHx+saV5enIHzyivKC9W5M+XJw7n79qXPv/wS4XPwIIwyJASQ+803JGIxGrnfaATk7N4NODSb6ePgYLyChYW8iooAuTfeSMhjz56A8uee4/lmM2Obm8u4tGunPH29ejGHFi+mDY6OKO7791P/Dh3o7+3bAWzXXsv/7doxPjU1lLNrF55eJyc8dvn51FvT6EtnZ+rp48McSU4G0KakYNAoKkKgBQfz2ckJgdrcTF2k5+6aaxiLM5Gmadt1XY8+85XH3XPJ8qfzQTU1ineVlsLj0tMB+EePMp7l5cyTurrzU6ePP0ZxutyUDTtd3vRn+ZOmaY5CiOd0XX+lBav1p+h88Ca5n0sCCpnJ13bv2EcfsT1C8qbVqwE4JhO60ocfIq++/x7gd+gQMrexETklBPKzUycisQYPhr/V18PP/PyQW7/9hs7RrZsyUOfkILduvhk9YPJkrvnlF2Tf449j0GxuRtbdcw/PXboUfSQ9HRl7//1qT/EDD6BfVlYCQJ94gnZ+9hngddIkIq1kps2oKO7dsgU5OWAAQPVkB5bLTKRCoCPIDKQyskheJ8TJeeqJYPuvjOe5vO/vJoOxLUf2zf+6LDkdbzqT7TZQHL+nxfb17rms5LkmoxFX/N69AImcHBbymDFkfFy5kgW/dCmK7+uvo3zn5qqEK2vXco+mAdQCAljMrVoBuK6/HoW+uBgGk5nJ4jUa8RhFRlK2jw+KeEMDlhxPTwXujEbAUEUF3hGLhee5uGBluuUWvEMNDbSnVSuVsOXYMdrX2Mh/fn78l5cHc3RxQTmvqqJMg4Eyv/lGeSRTUlQYpwQMbdoAMiSo2LsXoJaZybMMBoCury/Azt8fhr1sGczn0CGASceOlPH11zBkf3/6bepU1SeurjDZujr6sGtXQltXrcKD9dJLKIXygPNBgxin9euxCrZvD/MWAqC5cCH3ffst1sKuXRnDrl3xZG3aBPAfMwaGPXo0fZ6YiOI7fTrjUVyMR2/FCvrl5ZcJt7zvPkBZc7NKvJOfT7/W1jIunTtjpcvIEOKFF+j7AwfU8QNPPYXA8vOjvJ49VSz+smW0/9tv+b9tW/r++usZq9RUxvW992hfURFgbNQo5o8csylTGIcdO6jn2rX072ef0c6MDNqUlAQYDAjAaDBmjPJIenrCSLduBbS1bcv8XrSI/+PjAQoffMB8efhhfrPNzNjcsmkGLln+dD5IepRXrsSQIcOl77iDOZ2ejrJzvsBdp07sL7VbXu10uZCmaW00TXtO07SPNE0bpUEPCRKv9LnQ9bsQJJXutWvRcRISkOdyn50tvzEaAXeJiewR/vhjAFluLh67oUOJROjeHTkVFKQMnb/8ggcwIUHtX+/aFUNsYiIG2jZtkFVSzjU18dtnnwHIvvySegUGIqOfeorIpbvvVjxSGqC9vdmS89JL6EA9e6K7PP88MlFGcy1fzv033YTe9vvvRINNm8b1w4erc+yEwIgtj1oQ4njAJvvSaOT6k4G7Vat4nZjM5myT3ZyK/mrylVPddy6Tudj3DZ4dnQngZeu6PkzX9aEneQ07LzX8i2SxoBALwYSqr0dRnj+ffUYSzI0dCzA4dAgFqFcvFGzpoerVC2DSqhUK8nvvqQyKK1dizenbl4Xs6Qk4cHWFETg6wiAqK1WWSjc3lPnGRu4VgnpZLFiu5MHdYWE8Iz0d5tS/PxM6IoKQv4YG5enr0gUGePAgba2pUV67piaARfv21LOkhP+Ki1Hu6usp02Jhj+BNN8EQDx1Sm5+FwLI1cCDhnjLz5bx5MMW2bfksGVfv3rT522+pk5sbwNhkQsGMjqavAwIoe/VqyuvSBcCdkADDO3gQ8CKzm65ezfUdOgCMUlJgutu3M2a9e+PB27kTD9uGDXiz8vNhgJ9+ypjU1JB85tgxgM727YCSqCj6uLCQcp54Qp2PM3kyHpDVq7FAOjvDxJ99lnDKgQOVB/bKKxnHvDxAVGMj9e7Viz719MTIIGPvc3OxGo4Zw3XNzcyBt97CyhcXx3NefJG21dQgLO66i7IcHSlr1y4A4q+/Uk5goPIoDx1Km2tr6Y+cHJ4XE8Oz9u5l/Mxmtc8xNRWB2rs3v338MZvao6KYm2lpAP0XXmD+5eUxrxwd1TqUocEtRJcsfzqf5OICwJs3D77xww/wslat4G3ni/btY828+aY9TNNOlw19I4SIEByPcI8QYq0Q4johxNW6rk+8kBU732R72LYQyPDNmwEk8fHoMQ8+CD+SyUJWrUKPio0lLPHpp5HZBQV879+fvXhOTiox1L59lHfDDRh6O3RAHg8ZQsSWlxd6ypNPIv927+b+CRPQQfz80Pu8vPD4zZ+PHiNzKjz9tBD/93/I/fJydIQrrgC4LVrE72+/jaycPRs5KwSyPyMDWTx3LvpJebna85+Whsdx0SLuF4L/ZN+9/z7y0hYEnelcO6NRHakgxH/fa3vo+Yn/n4n+Kog61X3nGpTZwd2Z6TzsvrgwZDYTniYEwKpbN5TrHj0APL6+ABPp1ZL7zzp0YEFkZfFeVMQijYtDae/RA/Cj63jpmpvxVsm9YRUVeHCOHuXeqVMBDzLbUXk5Hg8XFxiDiwv/RUfDpLKyAARpabwyM/HA/fyzEN99x96a3bsBYR064Akym/HUdOumrD0hIQA3Hx+YSG4uZY8eTT2dnQElzzxDO4qLUfYXLQIkNDerfYJlZTDhnBxCFj7+GA/hL7+o82fkvrxXXgEAXHkl9ejZkz6WIaDjx5MNsr6e6yMiCINs3Zq2VVcDQq68EoZeX089ly2DMcswRyFo76uvoqQaDIzNkCEortddp5LpzJiBZU+O56xZgJbRo3m/6y6E0aBBMHoZStvUxHezGSAjM3c98wz99MUXtOWTTwA4U6cC6GT45XXXAcrkHqfu3RmnHTuYi2lpgLUNGwBJn3xCHbZvp779+gFgV6/m+8svAy6dnJgDBw9SRlwc7XJ0ZKw7dQIYxsdzzW+/IWDkGUBTpgBud+zgWRs2sO8hMZHx3L1bnU+UnMx1JhNC7sMPmf8ODozP8OGUK9NaOzhg4JAgzzajpp3OP0kFICiIcb/+etZFUxO8obwcI8H5onXr4AHSAm0nO13i1EHX9Tt0XZ8lCBfvIoQYret66oWt1vknqcALAZCwVeglyPD2Jrxx+nSMudITJzPsWizoGKNGUc7HHwOc6urYlvDJJ+gumzYpj9vVV6uEZVlZ6Hdt2+I5CwhAfk+cCFDcvRvDfWkp+sSdd6KHDBvGe9u2PD8xkXKXLUP2JyXx7IULAYH/+hf6V34+ct1qVXvwUlORv0uXovMUFqrtEJMn8969u/KoOTjQR926KW/eyRJSSS/ehg3/HXopX6c67PxU/5/NmP4VOtV9dlB2fulM3f30ealFC5A8HFoIFld6Ol6s4mK8WP37A3o2bVKelzZt1B679u25XzKndetYxOHhMIalS9V+JglU/PwAZ8eOwXBkds76enXQpr8/AKOpSSUt8fBgweu62gvl7Azo27ULwNO5M8pYfT1tMJkAXL6+KqRQeroCAvgvLAym0bs3oYZyk++hQyj6EvQFBhLiWVQEODKZsKA5ONBGd3f6z9sbq9jVVwMYvvsOEBIeDsg7fJjyVq0CqLVqRf3r6wGoHTvSfj8/fouMpK86duTeW29FMLRtS3/n5tK/P/1EX4WGAigaGvCkjhkDMDl4EIB4xRXsx5MHksp4/E8/JQZ+1izFvDt2xIoWFcX1Dg6Al+RktX8sORlBYDAwh664QiXecXCgbIOB+vz6K8/p14+XgwPWy5kzKat3b0JVg4IAopmZjE9WFvMiNJT9fHffjcczIYH2ff01Vr2xY6nPli1qn9/o0cyTuXMJj3R2RiBNngwAX79eHW9hMGA9TU0FhI8eDWgPC2OspTAsLqaPc3KYk7t2McekkeLFF4W4916sk4WFlF9VRTvMZqyqBQXMMSHovxakS5Y/nU+SQnXiRPZ75Oez/rZu5XdnZwC59DS3JFmtzNfISBVCaic7XcL0/1eNrutWTdMKdV0/K/+0pmljhBAfCiEchBBzdF1/84T/pwkh/oBMopUQwlfXdfc//rMKvIZCCFGg6/qEv9WKc0SS19iCFNs9eRYLOldjIzLEakU2jxqlkohI+bl8OXqVTIgSFsb/P/2EzMnJQU56ewOuAgKQzUIgmxMS0K38/NA/GhuV8fiFF9Brvv4afSMri+8//IBslXkYunWjHAcHZPPhw0Sq/Pvf6A8BAbQhO5vIpi++4P8nn/zvg8r37lVRZUIQoaNpeAyNRkBmYuLx/XYiIDvxPLwT97SdCUCd+P+J9//ZPXLnak/d+aBLqa7nis7U3Oc1TXvuFP/puq4PP9cVOldkNuNmX76cxWu1srjNZhbrunUoGfX1KDx+frzkeSh79wKwMjMBJVlZKpuhi4sCjfKsFosF5dnVFSYjwz7lXq2aGu5PTCTcrW9fXuvXM+kqK1Gmq6qof/v2gDVnZ8r09kbRTk7G25iSgnessZHy2rQBUDg58TksjLJ++AFAO2QI98rD1WXijn37aKeXF3WQB1i//jrWIsmQ/PwAbFdfDbhdvJg+9fPDY9TcDFCRx1C0agUzdnEhtv6xxwCQSUn0YXAwQMbPj3rU18MYDx3CI3X//SzIzZvph5oawOCHH9K/3bvjWQwI4L/8fBVaunIlbbz2WsBfczNlLFqkDjktKYEJ6zrArFMn2jl1KmC1oAChk5LCvPn3v7n3m2/UWTnXX48Fcf9+ftN17uvRQx1v4OsLo5d74O6+G6bt4kIY5N13MxeXLGH+xMZSX3mA/Jw57BMwmSh/4ULG9sorAWPt2tGPe/bQJh8fjsG49lrGVB4RkpFBe52ceEVEIChycpirOTm0t1s35sTEidwTF0d7Ghqwpnbvrg5/ldlE+/TBojlyJH1RWKiElAxDbiG6ZPnT+aamJjzBW7cyJkVFrLmqKt7PJ6WlsUall99OdrqEqaemadV/fNaEEC5/fNcEPKjNyW7SNM1BCDFTcEB6oSDr5gJd19PlNbquP2Zz/VQhRG+bIur+OKLhoiBb5dliwcskwcmgQRiYrVZkj4MD0QRy33turtr2YjQiX379Ffl23XXwihEjkInz5yPTv/uOaJaXX0buOzgAyKxW7g0N5blZWXgHnZ0xAh88iKGzuRm56eyscgx07QpIa9NGhXLGxOD569YN/eHjj5F1779PnXbvxqg6bhz7+nr0QB8zmdCTHBzok8GDKWvwYNVPqakqc7s83HzgwP8Gybb9K7Ni2iZekeGZf5aXnggibcH42URYXEqJTi6lup5LOlNTnzzJb7ECy/mhc1+dc0ve3nguHB1RQouLscB07swrIQHrTYcOLPCGBvZ2FRai5JaVqYPE27ZVhzbHx6P8XnklLvUtW1Cmu3VTGaMMBjwy8+fjIauuZsHLxCZmMwvcaOS5K1cC1tq1w7vo7Q2Iqq8HJGzaxH9WK8p4RAR1rKkBLC1ahIdp2TKUb3km29ChMJH582E+JSXU8dgx6hgWRrv27AHIHDigskIWF8MUCwoADmFheKTc3Gj7li20Iy8PxX7QIPq3fXvquHAhTM3XF6CWlQVYNZuVBe+mmwCDzz0H8Nq3DwY7aRL1v+ceGFr//tSzUyeYdHQ092VkAEwHDlRZOSMj6b/PPwfsrF4NABwwAIVWJjVZs4Y2urritVq1CiZtsQBwUlJQhF1dYerh4Xx+5RWAT9eu9M2BA4Sd9eiB8rpoEfXw9ob5FhbSX4MGEebxzTeAw6wsrHfNzYCl6GjuS02lftu2sS9y5Ej6RXoMu3VjvEwmnqnrAOeoKOrbowdWzj59+H7fffTnTz/hoe7ShTPwPv2U5yxYQBskeDYa6ee2bVkjRUXMPekBXLuWPvLwoI8XLaJ+RiMgsXdvtV+yhZOsXNL86XySTGZQV6cy03bowFrMymKMzxfl5Jy/xC52slNLkq7rDn/x1r6CPcS5QgihadoPQoiJQoj0U1x/kxDixb/4rBYlqTzHxSGTTpaWf/t2ZM3jj/P9gw+QU888gyzZulVlpTSbkbGTJuF5698fIObggC5RUoK+NWsW92kaBs2QEOT04cPoTR4eyKuRI5HTmgZgzMhAf8rMRDcMD0f3CQ7GyF5UhCz+7jv0RG9vntm1K2BQ7p9PScFofvvt6Ftz5wIsi4rwQv72G/IwOxv53LMnMtbBQYhHH0XnEYI+GzFCGeGGD6cfbIGcLTixBWSy/20B9dnSiSGbEoyfbVmXUqKTS6mu55JOuwdP1/Xt8iWEMAsh3hIwmvt1XY85HxX8q2SxYOFpblb7xJqbYRB9+sBwjh5Vh0N7eQGWfvsN5cPDA8vSww8DRnx8CCF0d1dnuR07RvKQuDjARnW12h81Zw5enyuvBFS4ugLkvLx4bmkp1/r7qwQsHTqgwOfmqmxRR48qEHf11TA6IWBitbW0Z/587jt2DCYUEkLZpaUwl6VL+V961Gpr6Qt3dxjgww/D+NzceKbcg1ZcDNiSlq68PMp3dqatAwfCnNq3Bwzs3s27gwMgYuJE6u7lxTOFgMm2akX95NEPmzfDJNetIyY/PFxl8ly7FjDz0UeUMWwYYG3HDgD0wYN469LSaH9eHuMhrXkyVHXAABTbsDDK6NwZy19FBfevWUP9unbF8xsezvX33Ud5BgPx+rfcQl916kRZEjwJoc7zCQnh/w4dAGi1tYzBhg2AvZtvxrMaGKiygLZrB9jbuhWFu64Oxp2fj/Wza1eAa4cO9F2/fgjB7GyYlgyjPHyYvjcYaGNoKFbH2FjmdkQE4Z633ko7Fy3CC9q2LQCgvJz6f/op1tH4eIDl/v0qxOS223hmUZFK5KPrzNm5c6mTJJnkpSXoUuZP55uamrCYW62sneho1r9tOO35otJSeIs9m6ad/ocpUAhxwOZ74R+//RdpmhYqhGgvhFhj87NJ07RkTdO2aJp21akeomnavX9cl3z48OFzUO3/JnnE0UcfsaZlYg+5vk0mwMzTT/NZJmLr31+Bu5oa5JTc9pKTAwjq2RPZfvQofMvVFfl9zz14/4KD0Veqq5HDmZnqyCZ/f2Tspk3I5VtvpZxevdDhwsJ4VnEx+l56OoDy5pspLzwcWVZYiL64ciX6wp496JBCYFRdvZo2zZpFIrOaGs4z9vJCJ3jgAeTviBEcZn7//eg6JzvCYPt25L3sR0knAjH5bntW3l/x4J14z58t62yuu1j4/P8auBPiLJKsaJo2WtO0DUKIfwkhXtd1faCu60tbvmp/j0wmvDdBQQxscTGLMz0dz1NYGMrvzp0s5kGDACbjx6M8V1URfrZsGdYgiwVluHVrmIvRiBI+axbMoqiIsjMysPa0aUMI5m+/qbNb2rRBEe/aFcbTqhUMxNERBfnQIUBKXR0AUdMAVyEhCrAOHoxCfvfdAK127VQY56ZNlFlTo7JU7tpF+c7OlCkP6vb15XkmE145Z2eUPSFgjP3700cytXB6OuGLyckwXT8/AJDZDDM+cICy8/P5vaEBxmw2U8a2bfSdTErTvTuM7tdfAUMeHrSpsZGxkl62gwdhlGPGUM6aNTDXSZNob26uSrIi2/nbb/TvF18gSEJCAMF33UU9O3embBcXda5gfT33T5hAe2fNIjTywAH6pa6O/WfbtsHgGxp4jjzzZsEC+jopiT647z7G/9576eOxY/FyvfUWAHHqVPq4c2cV8mu1qjFY+scKCwpiTl5xhToDb/dunv9//0e9jx7lWrmPsaAAgLZ2Lf9lZDCvPvgAcDh9OnXRNEJMy8oAmq6ulHPPPTD5qCjm5dq19HFeHr+lpCD85BlFQ4dSr8BABKwttfQ+q0uVP51vksqAPJcwJgaeNXgwhgMZSnS+aM8eFCN7Nk072emMdKMQ4hdd1602v4X+cfbVzUKIDzRN63iyG3Vdn63rerSu69E+8mDbFiCzGUBmm77fNmOjfJehiP36cf211yK3MjORz/L/nj2R9atWKSOnjGLq0gWvXGUle76rq5H/L7wAX/PwQN79/DMGyxtuQGYuWKC2htxxB7pdeTl6oNWKXBs3Dv2wpATdY9Mm3uPjAY2pqZR1++385+CAnrVqFTpSXBz6yciRlJGdjc7Qpw9hndOmIX+3bGEP35tvqkzTRiMyXgjaW1PDFiPZJyejE0Hf2dLpjiw4l0DoXB6NYKc/T6cFeJqmJQkhZgkhfhCEPVVpmhYlX+ejgn+VamqUuz4khIXd3Mwi3b8fC/aRIyjQ9fUwGCcnQNTatXjemppY+PX1KCQHD1LunDlYc/LyKN/RkfIjI2E0Xl6Alm3bAJW6rjIYpqVRD1dXGJMQKuGKqyvKtTyiwMMD5uPsDAAwm1nsHh6Aj6YmlLSAAMBjTAxMplUrmJAEEDIRRkMD4X2tW3PN00/TH2YzzCc8nPrk59PeQYPwGtbWory//TafFyyA8bi70ye7dlFmVBQWquZmnpWXx3tjI2BnyBCSo5hMgEB/f5h1q1ZYyfLz1b7CjRvpD6ORcvv2hRkfPEifv/km+9Z++ol+lF4li4U+j4sj2ciMGVgGJ00C5HXsCGPXdYBJeDjjJ4Hirl0A3oYGylu0iPEPC8OjVVoKeHrwQSFee00lSvH1pX7Ll3PvJ5/wvP79aZucR59+CpMfMYLfvv6aOmVm8rzXXiN8s0MHwGlYGP8tXEjdunVT3sdOnQCe331HWMcbbzC3N2+m/wICeJ81i7F86y2VofOppwiPefZZhJfZjIfS15dxvuUWwO2PP/Kc3r3p1759CTsxGpnPI0YgMKuraWdc3PlLvX8p86cLQTKTmtyHrOus8wEDAOvnk44eRelJSLALfzv9T1KRECLY5nvQH7+djG4UQnxv+4Ou60V/vOcKIRLE8fvzLghJr508KkF6oEpLkZeLFiEbm5rwxr35JvIiMxMD45o1yN6yMrZKjBsHX7r6avSx7t2Rlxs3qvOCS0oARdOnoz8MH46+1KoVUVfR0egAaWnwmpoa9IuDBynTxweZWVyMPuTlhS7Qpw+y9tgxZHByMnwzJUXpZ73/6PGkJH6XekpaGgbU8eNpT//+6APNzeQiePppZO/DD6PvzJwJyDMaMeQOGwaQnDaN58THK9Alj606Fc9s6SMQ/iz9r4ZGXix0pm4/JoSoEUJc+8fLlnQhxLCWqNS5IJMJQLFoEVYUCZD27IFRbNiAwmoysZibm1nYbm4ApZQUQI1MVOHqSur7n3/GQ+LrC5MIDeWesDCAQlAQgCItDSDm64silZnJ9xEjVJrb2lqAWV2dOitl7lx+l2fvZWbigRkwgN+KiwFOPj60Jzycz4sXUxd3d5hSTg5Mc/t2/tc0mIWbG+12caG+tbXEwk+eDFgsKVHg8pNPAAkyja+mwZCqq/n9xRfxCHh6ct+8eTAm6RWSIahbt3LP1q0w4dhYxmDIEICyxUJ5+fmAt4ED6adffqEP1q9XZ/0FBGDp27wZD8CHH3KPPL/txRcBOvJoiblzac+YMVjcBg4k1FAIBEWXLoxdczPj2bEjY5GSwjjpOm2pqADoNDbSvm3b6POsLMZg6VL64vff6XeDAdCfnAwgWryYZ1xxhQpbdHDAkikE1/v5EXY5fjzzo6GBNtfV4Y2Uoa6pqQiNJ54A+G3fzpycO5cQzLZt2ed38820/YMPhHj3Xfp/61but1gQIIMG0e+dOgFgnZw4uFW2a+JE+s5oZE4NHozltbSUeq1Zo8ZFZme0Dcs8eLBFl/kly58uFMl9Hi4uKEu3384YRUXBW2pqVDh1S9Kvv8KXxo5t+WfZyU4XISUJITppmtZeAOxuFHjjjiNN0yKFEB5CiM02v3kIIWp1Xa/XNM1bCDFACPH2ean1KUiG+524R2zJEuRwUJC6Vu71SkhA/kodrUMH+NCqVegyI0diqJZn9U6bpqJMNm7kt06dkFmyDvKs24oK9JUVK9ANDAZ0msJClem8spLn3H03snnVKuT/iBHItKQktU1G1zHg9+yJEb2ggOc6O6ujD/75T2ToL7+g9yxdCp+VETd9+qBvLlrE9bt2IUuHDgWEPvYY/5vN7FVcuVIZU4Wgvk88gZE8Kem/gdOZEon82Yybdrr0SdNlGp9LhKKjo/Xk5OQzXmex4MH7/HOVKMVoRLm/4QYWaVMTQMDBQW3gLS7meqORzbVt2yqgJAHggQMsXFdXlJQ9e2Aqzc0wjNat1T47i4Vr3d15VlAQHsX6egBHbCxhBx4exG83NQH6WrdWh2+2akV5FRVcJ8+Q8/FR5+sFBMAkPTy4b8oUlKi6OphZbS3XOzvTrvx86l9RQd0mTybkUGbWa92a9k6aBMBpbqYdDQ1879ePehYW4gk9eBBLWmoq99sykxtu4Dm5ufwmvWDvvYc36tVXqf+QIQCnWbMAydXVPKtrV9oWH4+w0DQYX309lkCDgaQhX3xB/bp2BZQkJuKBEoLxHTYMQNLQoLJmGgy0Te4DHDcOD19sLGDxwAEY89at9GNwMG0YOJDw3pAQ2pCWBii84Qb6pH172ivrk5GBYGnVivE2m9WZPN98g5Xyp58A271741HVNP53ccGzt3kzdYuP5xiE++6j3A4daN/OnepoEC8vxrqxEUFy/fXU4913aXuXLgDKoiL6wGhEue/WjX77978RqDJhUGMjdROCeXXggOq72FjWR3U1bWrVSoGEiRMB/mciTdO2/xFydEnT2fKnC0VNTRgFkpOZH/7+8MT585kLDQ3nry7XXcc6d3e3Kxt2uripJfiTpmlXCCE+EByT8Lmu669rmvaKECJZ1/UFf1zzkhDCpOv6szb39RdELjQLorA+0HV97pme11K86XTAoqlJhWFL2WR7uPe77yLjlixBlsbEIE9mzgTA/fYbMn7iRGT3gAHoaI6O6BHV1eghRiP3JiYifwMD0WG2b4e/HDmCvmMwAJSef54wyd27kb2FhZR3ww3I2TZtMNb26IGOVVaG7O/YEdDXqROG9i5dMHAPGABAlEdupaZS/2uvVcbU6GiA7c03o5empGDwraxUGaqdnFT/vP8+Xr7ERGR+QgJ9I3W+swFx8jchLkwWyf/V7JXnk07Hm84Uovm0zefrTvjvjXNTvZYjiwWl1dmZzw4OKOMFBSjGQvCb1YpSmpurkl7U1LAxeNs2LC6ahhVHJmCRh0rLSSvB0+HDgKeQEJTlIUMACBYLylTr1vxfVkYZmZkwt+ZmwJSHB4pWZiZKclkZIQQlJdQ9IIDFYjbDkKxWGI+HBwtfHvi5cCHMr0MHlHOrFa+PwQAYCwoCILi68t9nn9EHVVWAsf37WZwyHn3PHpiNiwvX6zrMLimJfvDzoz3e3tSte3cYWWUlIGvzZkCamxtte/FFrk1MhJkOHco1jo7sWxs0CCZaUKC8rR98wB4zDw+8SWvX0u8eHnivjh4FJM2ezQHkMnPXM89Q54wMdchzeDjj3b07VsO77sKz8dZbHCfwySfq3LBevRAYcXEw9VWrEDwyG+nXXzMHbrqJsQ0NFeLbbwFZixcT0tuuHePati3M/rffUKbNZoTA6tUIonXrqOfQoexR7NKFfk5N5dnvvYdiPGAA/X733bRx716esW8f7ZOhwc7OhIS4uPAaO5Z2tWtHvWQf3HADFsOMDCyRQtD3QUE8f/NmDBILF6pEOj17MqcOHmSuNzQgoKSVVQi1/7Ql6FLnTxeKZJKee+9lbdfXY9Q634ePz5/PcSzLl9vDNO30v0e6ri/RdT1c1/WOuq6//sdvL0hw98f3l2zB3R+/bdJ1vbuu6z3/eD8juGsJkmv2ZGF4tv+ZzfCW0aORWStWAOwsFmTv1VcjryX/WbWKqJ05c9BxXFwAWg8+iHzKyUGujBpF9E1AALI3IkJtfenVi7L79UP2P/MMusONNxKBk5aGDhAVpQyVXbtieB4wAFn3yCPItPJyZP/VV3PP1q0YlHfvhnf16aPCUoWgjdnZ6CTLlgHMDAbqYTaTHG7nTnXO8FNPoStJcLh6Nf328MP/DYqMRvSgU/FL2+yachxk3U7MbHo+yB6ieWHpTElWbrT5/NwJ/405x3U55yTPg6uvV8k9SkoIPxs3DgbTurVShoUARPXsCaB79VWU9bo6FG1NQ9EPDGThb9oEgPHyYgHX1gIy6urwcHh5waDksQKhoSrccd8+PDVNTTCvggIYSWQkir6nJ+DFy4vntmkDmNq/H8WoqoprIiJ4howHlxk4Dx6kjpWVMKXHHsOTM3Ei93p40Pa6OvooJASmabFQD3mo+0038Z/MLunpCZhYtUqdI7huHf23ahXfTSYY5/ff077rr6dvQkPp+/btiWOvqoJZdukCEKmqAjDJYxZiYuib6mp1wKefH8C0Uyf6sn9/BUZdXQGT8oiBsDAY87PPAiYPHCD0ITcXq2BJCX20ezdjNH48QKVDB8Bh377cs2wZ47N3L8xKJuRp1w7g+/bbWBUXL0YwLVuGgPntN+rl4YFQq6+nXZGRAMnYWLWHLiWF5y9cSJvXrgWshoUhAIRgrBMTCU8JDyc89ZZbAKN1dcyXN98kudCQIQDB667DSHDbbWruzZuHNfSRR1gHaWnM9YYG2njXXZRhsVDPtDQU8XXruOfgQSyiMuz05ZcxbEyejJFCnuV4HuiS5k8XgoxGFK1RozAa3H03POuhh85PaKYtNTQwb4cMsSsAdrLTpUQnJs84WahgU5N6yaN15LFQnTqxb85qxbA4Zw6GxmPHAEYxMewJHzoUnWzlSsro3h3Qtns3MmnPHpWA7qWX+B4RgcxLT+e9tBS5Gh6ODP74Y3ifwSDEVVepo4527ULfGjFCnV18++1kwXR0pK5r1gAUY2LQS156CV3jl1/QKWT7Q0IwhPbqRT06dwaclpUB4Pr1gw+bzUQbvfqqCv+U+xQTE7k2Pl4dpWCbzOZkIO9k4yL3QsqtQfK6vzP2f4ZOx9vthr2WpTMBPO0Un0/2/aIikwmFs6kJxTYvj8U9YABMZPt2gFBtLYBKCEBJYyMLNioKYBUTA6goKUEZsVpRbp2deZcAqqgIJiAEHg9HRxhPdTUMZsUKFPPCQhawdPO7uFBudjYA5dAhtRH4rrsAVK1bU663N/dYrTCIkBDacPvtMEVbL6GDgzq0vakJEFBSgqfOZFJKuL+/SsdfVwf4ePJJlWXz3Xeps65Tb7nX8M47Uf6PHKH/nJ1ptzzfasYMwNdjj6lzcWpqKCckhLZu3qxCTktL6euHHqL8bdsAWF26cI08iH76dJhk9+6At6VLYZT33QfDXroUa1i3bgCQ99+HIaanw8DfeQdgVlBA3ffsoZ+6dwfIyCMl/P2pQ8eOhCu6uCiQ2KYNYPWZZ5hj8+fDRHNyFHO/7z5CMnx8GKPSUmXFMxgQBtKrOHkyGcAKCgidc3LC09anD57AsjLAXnIy4CwiAsvhLbfQR7GxjHdDAwA6JwfBYjZjTezQgWfs2MG95eWEhri4AEYbGghn9vfnt1tvRSBNm0YbCwp4r6xkzIcNY564uNBH77zD+7Rp1NHbW61DuSZaiC5Z/nShSSaQ2rmTObJ8+fn34AlByLU8X9ROdrLTpUGn88zI/5qaVAbIuDhkd2Xl8SH7gwbxHhUFkFm2DHns4ICsvfNO9KvAQPSHtWvhF5Mn819YGLpMnz7oEW3aIA+rqtC3iosBbRUVbOFYuVLlIhCCzzJZnRAYKL/6Cv2rrg69rbERQ/TevRi5DxxA37nnHvSKqChAWnS00nmSkwF4L79MHV1cuP7LLzGuSbBlNGJ0v+oqeLEM0zQa6Y+TkcmErrdq1X9nIT7ZuJxsb+RfzWx5LrNiWiz2DJstTWcCePopPp/s+0VFMlOTTIU/cCALrrhYebhSU1m89fUAwH79WHjS+mO1AgBk4hJ3dxZ9x44wiPp65c0LDqb8Hj34bjKxYL28WLCDB8N8Dh6kHAk63dwAMXV1eHwOHEApdnEhDj03l2e4u1PXqiqYS2kpivxXX2HlkSGAuo7iP348jDIoiPfqarVvT4K1jRtpZ1oadYuPR1H/7TeuvfNOLFRC0JbduwFAXl6U09iI53DbNhX+2a4doCU8HA+nPCy0dWvAalwc4KKkBAA7dixeBHnA9oYNlNOlC2DU2RmG6OAAcx43jjp98AHCwGzGu/jiizzT15dnLl5M3ZydAY0vv0ydAwO5zmiEEUdHM1fuvRev6ogRtOHddwHdmsa1gYE8Oz8fb+y77/JsJyeu8/FBcAUGEtY6eTJjeeutAMngYEBUWRnJWKRgy86mX52c6M8dO5iXUVEIquhowkaKixnHESPYs2exAAr371f7AbZsQVGX+wSqqvDyZWXR1w88wHy76y42sMvzhZYuZf/n5MmAtaIi+mjuXIRIu3asn++/B/SvWAGIjYigzj//jNe1VSv6xDYbdwsfdH7J8qcLRTLxwfTpeM769VOhQVddheHifFJlpVL87GQnO138dDKv3ckoIUEZfI1GjK4mE/JqyBBk24oVyLz+/ZEd//43ssZgQHbeey86QXo6Hi1fX2Twgw+iI2VkIHe2b8fo+OCD6E8yyV1ICDzNw4OXiwt6SM+eyM4vvkBeyTwIc+Ygj7Oz0a8sFsqKiaH+r7+OfM3Lo20bN6JvzZ2r9L527cgjMHQoepiTE23cvFkdSfOf/yB3ZfbMK6+kT668Um39kf2bkHA8GGpq4reGhpNnIT7VuMgs438nbPJchVzKw9kvRNjo/xKdCeD11DStWtO0o0KIHn98lt+7n4f6/WWSmZpcXFiQiYlq71lxMSDnyBEW6U03wSSWLMH74+yMRSY0FGDk68v5aK6uLMikJBZKTAwKbHMzZVVU8OySEu6zWGAEjo4oyr16AUZSUgBU27ej7K9bR53k3rb27QE1MonL3XdTb02jXE9PZdUSgme7uFDPhgbCCEwm5cmTHpU2bVDoO3YEIC5fzn8WC2U2NeG9GzECZvfOO4CoY8dgTH36wKjKyvCmbdoEiIiNRcnfsIEy3dxgjh07okAePMi+u9RUfpcJT37+Ge+XDJeQHsmmJgDaxo385u4O45s4kRDIqVPp65Ej6aPMTNqekkKdr78eBv7zz4zjhAnUy8dHeSPLyhAOdXXUf/Zsnr1hA0DO25sY+IgI9mI2NiKEPD3p4+eeQxhVVWGhi4nh/s6dAcbyuIeCAsW033uPUIwhQ/BwNjQgALZu5eiJvDy173DvXupmMCCIpPdw3z4VChkcjHdu1Sp1YOtPPyEoP/kEgGyxIHB27SLUMzGRDd7vvUe/OTtT53vvpT+++II+37WL+wwG6mQwUGdppNi+HcEVGEj7Dx5kLPz91ToQgnnZgnTJ8qcLSU5OKEJCqPDfKVOYZ7feen7r0tzMvJ0xw34mnp3sdLHT6Tw4Jx7cHR2NHKusBIjIszanTEEGhYcjo44dI/rj1VfxkFVXo3ckJiIDpX4zaRIG7759uW/tWs6zk/v0rruOxChNTegqbdsCyoSAtxUWon8cOYKuJ3WeFSvwnBkM6F7dusEfq6ow4stM38OGIa+FwAj6wQfU7847kZ8ODrR140baEhVFvRwc0PscHFTGT7lF5aGHSFpmsWCMtVgUoDMa0RtsDzOXfTtiBIbyESMUQDqTJ8xioc6y7L9CJ0vi8ldIAsULETXyv0SnBXi6rjvout5G13VXXdeNf3yW31s2+OockLSCtG+vPEdr1qjEEa1b8z5jhgpZ2rYNcJWSopJ0ZGWx+CTYE0KdTzZhgkq8EhTEonZ3BxxGRqKYHzmC10umAXZ2xkNltRKCl5enMnnW1sIUd+6kvLAwQhP27IFhHT2KQlRZyX39+wNKXV0BUz/9xKKJiICpZGXBFGXiC5mUpEsXgI7VCvA8cIC+mD0bj2BwMGUfO4ZFTR69UF9PX/3rX7TR1xcw4OkJULrqKkJGrVbaOn8+bSovBzgZDIAICYr9/FQGxqQk6vH88wCmPn3wGl19NUzYyYn71q2D0dbWkohE0yjDYAAwt2mj9sA9/zzfhWBcZYjkTTcBrN5/n/1j0lv1r39hvXvzTUDh4sX02eHDZLLs3ZvnDxqksmP5+LDHrbKS/1eu5JWZCYjbvh2LnY8PgumxxwBTCxbgwbz/fuZRx46As/feI8Tzq6+4v317xlOezThjBvMjORmw1749jD4zk9/j4xmzfv24/ssv8e5JYeDtze9lZQBguXFcnuf3+ef0+4IFjMd33zHWFgtC8ppr6MOnn1beULOZ8vr3V1ZbIZg3LUWXOn+6ECRDf7ZsgU+88w7zPS9PhZLbpjQ/H1RSwjy2W3LtZKeLm07lwTlx353FgjfsrrvY8xYdzfaYadMAMH5+eMN69ECWCMHnZ5/FiHv//egTchuNtzdypVs3ANTixSoE9OqrMYquXIlRNSUFL195OVE1ubnoTlYrIHD8eOontyyMHg3gys7mdfvtyPs33gDIxcWxh+/dd5G5y5ahz8XHY5zetw/d7ddfad/ttyNXP/+cZwrBNYMHo4NOnIiR2tMTmTx/Pm2RZ5FarQrkJSQc388yIdWJWTRPdbC8Legzmdiu8mf47MkStpyrkEo7v295uqy72GhUxwxs2MBi9PNjMWoaEzU7GzDTrh3Xb96MwuzoCBDbvx/F++BBQIiuU15+Pp6Pzz9HmV60SMVxOzmxONu0QZEvLQWoLVyIIjxhAmBJLv7QUJhRq1YwjY0bFVPbsYMQgbFjAUAyLb1Myb98OaBh4EDa9+GHtFlmWpJeFmdnGNuXXwI0amoAfR068OwjR7hHpss/fFhZtLZvpz7x8TBfo5GQCVdX+lF6RD08sIy5ucE0ZXZQIfjf1ZX3rCzAUHExdauvh3GEhMCgb7+dPu/aFeDx+uvUpU8f2nPNNQCZ33+HWb7xBp4HeZ7b119jVfv6a/o4MpKwi6++gtEeOkQb2ral39atwxuYmAgT7NKFvrRaab+TE2GRmzYBvrt2hfF6eTFm69YheLZto4+2bqXvm5sRIP/5D+CwqIi599RTtP+rr+ib7GyAnMFAX+/ahbCLiuKe9u2pr4MDwurgQQSnENR5yxbuHTOGaxISsHLW1DAv+/VjnNzcaN/VVzMvY2KYh3LM9+7leX36cH1QkPKsLl3Kmnj7bT7v34/1dORIjA5ms9pD0dio1qDZ3BIr205/h2wFq7c3QL2wkARFBw/y+XxSTQ3KmY/P8RZpO9nJThcfnWp9Sg/TqlXI1Yce4nt9PdtNevfGIJiUhIy84QZkp9WKTrR7t0pUsngxes0998CPpJctMhLZJAQetVmzSHAyejTy/7bbKEfXAX2tWmFwl8nNtm5FXjk5YbxMS0MH6doVHam8HP1r506e6eyMvjVwIPJv8WJk3rff4iCYPp1yy8oo+6efkLeRkYApmd8hJoZ2DxqEDL7qKpXETJKDA/LcNumUPLZGAme5Z1qGW27YoAD3iXvsBg06/n85dmd7bMGJ5dszYl56dFkPVWEhgE0IlNrISCzVixers+jkWXIZGSx6Bwd1GLiTExaXigoWTXU1zKFtWxbPtm0Ar+RkUvWGhKCAV1SoBCDt2yvlvbKSMo4dAww1N6uzztav59rsbK4zmVC4ZRiBuzugZdo0tUH4yy9hOt26AQz27+e66mqYl9mMkp6ZCYOaPRsv2v79MMA2bWhjZaUKDbVYAAeVlXzOyaG88ePpuzFjaGNhIcxTCHVO2v79tK1tW+WN69cPxqxphO/99BNMPiVFecZiYhin9HSYV0EBzwwNVXv1PD1pw44djKXZDMD+17+4fuNGnuXiQnhFfDz9u2gR/RcRobIEDh6MBW3jRoRDWBhl79lDiIifn8rMGR0Nw928mX4MDwdUx8czj2pqlIUvNhZwVVRE3eWh9OHhANCoKMBjbCx7Al99FaHw8MM8q6YGT6I8o89kQvDJw05XrUIYySM/hEAx/u47/k9MZK4tW4bn8rvvAMB9+wImo6NRoFetwov4zjvU78ormXePPQb4jo3FgzhlCv0uBOPVoQOCqX17GP26ddS1sJA+kwlgbEM07Qk0Li6qqWFu19crfuHuzvi/8AJr5q23WPdCqBTiLUkpKXitFy2yKw92stOlRraAQmbJnDZNhUcaDMgTsxnZZDAQYSP1CQcH/uvWDS9fp05E+dxzD/JHntGbn4/OkJqqMk0ePYqcXL0avWjjRvSuTp3UkVSVlYDI+Hh4jTTqursDmMrK0FsqKtDn6urQvaqquGbxYo4yEgL9adgwdIJnn0W+Ll6MznHrrcjaSZPQQzZsoLyaGrbZfPUV+kF8vPLCxcTQN+7u6D5NTeq8QJkEa9gw9I9Bg8gCbjJR5ubN6B4S1NmCuBNBnxDoDTLU80x89lR75M7mPjsPv3josh2K0lIUahkulpCAYi4TpuTkAMqsVpTu4mIYhNGo9lVpGorroUMsWCcnrj14EMtPURGf/f2VR+uKK/hPHsZZVYVSvWwZdXF1ZVEePQpj8fTkuY2NMK/iYurX0IAnbt8+FO4VK6hDRQUMJTKSRe7rC7CsroZZdOoEsxszBuXfZIIZJSRQ/4MH1UHhX30FSBJCxa3v2UM/9egBgLVYAE5r1qhD3Q0GvHMvvUT/9egBIw0IgFkPGkS5O3Zw/W234f2aPh0m3rkzTPDbb+mv2bPpw2uv5X3qVPbPdewIiHRz4zlz5uA103UEgZsbTC4oiH7Jzqa9Eghv2MAcyM6G8RsMhH6MGIHn9frrCUOMiIAB9++PUPn0U4DUpk0q8YkE0kIAiLZtYw4NGYJieued6ozAsWMREFdeyRht3Igg6NePcf34Y5j2xo1YG0tLGaviYgTEsmVYCZub8ealpTE227fjrTt2DEElAaDZDEgMDuaeF15AKLq5YZGcNQsL5YQJHHPwww+Avfx8lao5IoKxMxgA5F9+yVqR+/wCA1UYyauvsldz8mTacOgQZRw8yLxs21Z5s8PDz+eqt9PpqKaGM5hss9iFhRGOKw1K4eHHe2BbGtxJysoi9Pjll+37Muxkp0uJZL6DhAS1N2zYMICKDKv87DOlEzQ3Ix9KStCbWrfGgLxsGbxp5Ehk07Jl6E9t2vA+YAB6R2Mj8j4nB5nr5YX+4+gIEBQCHpKXpwzeLi6EWIaHU6/6epUvQBrhO3QAUMkMl5qG7rJkCbrAzp1qf3tMDDKxtBQdYu9edJ3wcHQrmc/AakXvmjyZexsaCMlcsABDtRCcO/vhh8hSSUOG0IZhw7hPeuNkNvKPPkKXkYegn8xTZ0ty/508YuFsxvTPeutOdai5HfRdODpTkpVLmuRENhrxMpSVARpqa1m8zs4o3du2cV1eHh4lyTyksr5nD4xA01C4Gxr4fOutau+TyYRlaccOlKb161lUvr4ovs7OPCMyksW9cyefq6pQ7s1mlO7sbBhaQADPlGEDxcXUv7ERBbqxkXZZrVisDh3i2uZmQFFSkgKwW7fC6Nq2hSEUFMCkpEUtPBzmlp4OWAsNhQF37Ajza2qC0dTX81tFBQw4NhamOnGi8jp99hmgKi+Psry8yN745Zc8p3NnGJ7cbJycjDXvjjsIqXz7bUBMRARMTB5bkZ4OaJ02jf8yMxEemZm0d+5cLHVHjwLW6uoA5337Mh633AKwlnVMTcXqNmwYYzhwIAD2qqsYE02j7lu20BYpBBYuBGyVluLx6t8fwTN+vNpvt3s396em0oaYGOaZgwOgev165snvv1PnGTMA+oMGEdYybpxK51xTozaby/MCv/hCZdW0WpkH48YhRLZtY1zvuos6yPDRQ4foBycn7t+xA6C4fDllL1hAvRITAQFHjwL2li/Hu+LvD1B0dkZIFBXhjR00CG90cTHz1mQ6npnv3NlCi9tOf5rMZkKN09LYLzJ5MvN44ECE8pw5gD15Juj5pLo66mdXBOxkp0ubjEbkwIABAB8XF3QASd26Ia+8vIgikAalt95CDxk1CgOwEMi8tDTuGT4c4+X//R8G1TvuUGfums3Ie6MRmV9ayqtNGwzgzc3IvtatkYUyKsvDA/Cm60QmyTOHw8OVUdXTk3d5jm1dHYbloiK2Xnz4IbqEzIQ9bRpyXybBs1rRMVauREfYtUvtYxszhi0nJhP6wZAhKmKoqYl3mRQlLg4QvW4deoLZrOS/Laiy3X+3ahXvcv/dnzGe/VlefKoD7+1HIVw4umwBnskEwBFC7XXTdQCNPHuushIFtF07IZ54Qh3A3asXjGDlSqwkISGANHlguhAq6+Unn6Aou7qynyUnRx2Y6eUFWJBp9AcM4JnOzrxk1jhHRxjLTz9RTn09IOvwYcrOzYV5HDsGw+vWjTpVVKCEOzgA2jw8aE95OfVs1w4mM3EiYKR9e5Q5Fxe8S1Yr17zyCuXs3Yt3UJ6Rd+QIzKa8HMDo4wOY9PYGJHTsCIDdv1+d3fbgg/TJypUAl7ZtYZD+/jwnJgbmuWIFv1utMPN//APg1b8/HqKkJBj6/v2U1b49SunVV6sjBEpKYJy33IJX7JZbAHuenoDLa6/Fmmgw4LWqrgZE3nQTffj++zDAp59GsGzbhlfvxhsBZ8HBAKynnkIxXrBAHVMwZgx9PG+e8prKzdLy/B6Z0OSBB5gDw4dzb//+jHdgIKD9o48wIlx3HR4MBwfK79ABhu7tTQixEAid/fsZt9patQdhwQLA8h13IIzMZgDdk0/yedIkLKNffUWbq6qYpzIkt64O8NqlC/WW2T8jI/n/zTcZw/79+e3OO+nTffvoq61bmR/9+x/vAZJhvHa6OEiGQk2axN7VkSPxygYGKq/ugQMXpm6ff45SZic72enSIblXKzZWhQsuX45HaupUjKibNmFUrK9Hx8jMREb/8APyc84c5HtmJnrD7t3IY3lkUmIi+s/SpUTYrF0LkHJ0RDampSGz5DaXK65ADslzkJ2d4XNJSRjO+/VDz8vKwqibnw9AnDABPaGykvsbGlQ26d69qb/BgC7Z2Eg7+/QhwmnrVsoRgjpLI/auXcjcb75B3+naFf5rtaKnjhrFdQMH0s7ERHWMkvSMLl/O7wMH0p4TwZdtGKYEdbZ0obxo9n17F5YuW4BXU8NCF0JZpNu3B9yMHo0XyN8fxrB2LcCvvp7FvGkTi10CqZ07VfjS8OEorbW1gLm8PBiPPL/O0xNvoasr9x45oup0+DDPj45mYffogbXIYsGzVVEBIIqLA1S5uPDy8wPYdOumvIsyU6bBoDxiJhNgpL4esLd7N4BVgqSiIupTXKyYlEwgYjDghTKbAaa33079e/dWh2gfOKD26+TnkzwkNJR6Wa3s+XrgARi2kxN9IOvX2Mh/339PyENdHeUePgzT/vxzgGhKCox4wwbGq7oa4Bsbi8DYs4e+vOEGrs3LA4S7u1O/Tp1g+L//TvuFgAHfdhtjeN111KFDBzxTo0cT4pmVxZhmZKiD00eMIPyyrAxvrUxz3NDAs19+mevnzUMYjR+P4JDhr46ObC5PT8fY8PHHeAQ1jeubm+njjz7iGa+9xoHiQgDY/vMfPJ+ffYZQWLwYEFdVBcNOSQH87d2rsoRlZFCHmBiujY3lmXV1CNMrr6TMujoE3MGDlO/khGV05Eg8oN26MT/MZkJx77tPbZp3cmK+fvUV80qGcAYHk6hj8GA15z08zvnSttM5Im9vDB5ffMGcDgpiznbocGHqc/AgSpv9uAQ72enSILlXKyYGWWex8FtDA/Jo/XrAj9WKLuHigvEyLg4d45dfkDWtWpFMra4OmV9Swn4zR0dltD1yBDkZEIC8DwxU2S+7dcO42dyMrP78c+qRlUV5RUUY7Vu35n4XF+SVt7eKznJzQxdyc0PP27lTnS3c3MwzX3gBg6ePD3JQZiuPi0Nez5iBDubkRJ3Gj8d5EB2NIbS8HH2noQG5W1mJsfvf/8YzFx8PiBNCJcobMQKdRB6XEB9//Pl3tu8JCcqhIY9TEALQdyLwO1mmzdON89lcczJvnR3cXTi6bAFeZaXKQCQEoCEvDyVm82YWfU4OC7d1a5TkLl0ITWvdmnvLymACERFYUtzcYDTFxShBjz0GgGndmsVvNMJc+vSB0e3cCSPp318xvbw8rvfxgTnV1HBmWkaG8ujk5wNkmpvxVg0dCqNJS1OLRdfxNMkU+UFBKNvXXw+zzc9X8d9CwDArK3lmQACMU1rHtmyB8SQmAnLc3QFBcl9bu3aA2IICmPI112Ah69sX8CgE5dxzD/383XdYzKqqsJiNHMnnLl1o38CBAISAAPr7/vuJnb/qKhiY2UxfbNwIkNuwgfebboKJ5+URT//005RtMNA/t99Oe7286CeZEEXGzsfEAL4l+B87ljGVfdHQwLg0NTEeVVVYHWNj8Sy8+y7jKUHryy9jdYyI4DlVVZQh9wmEhWHBXLkSD9j113NfVBQg6tAh5tBHH9F3xcWAqa1bGXs3N4TFokWAxKuvpo2rVjEWBgP/G42MQ3U1fTVtGl7UPn1oe//+zAVvb9rRpQug+bHHUKqvu44+cHMDxObk0N9ffUX/ZmQAICdMQEgHBQEMZHhsbi5zJCuL/3Nz1bqzTbhip4uPpEdvzRq8sfL4DMk3zifV1bEua2rO/7PtZCc7/XmyPc+sVy9+W70aXWXwYJUMTAiAXefOyK8uXYj2qa9XhtNrrkFmJier45Dmz8cQ36sXIZz+/gClmhoMwgYDcv7YMYyiPXsC0mRIo8mEbhMTg4x2cuK60lLAZatWGPRDQ5GpJSVK1h88iNzduxe9ICoK4JeQQJ2Dg5GB+fkAxPXr2Qu/cCH6zMKF8NJ16/DiTZpE2e+8gy7zww8qy6amEeHV1ESuAiEwqCYmHt/fJwNQq1crD50Eg7Z78eTvJ56Zt3bt8Qeon4rONszS7q27+EjTW2jDhaZpnwshxgshDum63u0k/2tCiA+FEFcIIWqFEHfoup5ypnKjo6P15OTkMz5//37Ajy0ZjTCOsDCUUcmUDh1CuSgv556MDBhRSQlgQVp9srO5JiKChevsrOK6i4uVaz84mGcYDJRbUEB9QkL4v18/lP5rroG5tGkD88jJofxp0wAAQsAA6+tVunnprSstpa6DBsEkvL1hWIcPU97OndS5rg7mFBsL2PL15Xpdp93l5Sj/Hh6cp7d2Lb/93/+R/CQ0lPu6dqWNEREAr+xsGKzMJBoaCjiJi6Pf4uKod2YmAGbHDoBKVRVgLDqaMXB1VecIXnMN7fnkE0BSYCDXyz6V6fv37QNk5OfTZ++8g/VPjtUTT+BJkqmSg4Nh/C4uCIZPPwUoensDSHbtQuBcfTXAPTKSebJ0KZ+//FIxOWmZlKGZuo538LnnmDdXXAFAu+8+xik1lXELC0M41dTQJ126UJbZTBv/7/9o0+23o2yPHKlCMdes4f2xx7AQTp5MmVOnAqYeeADroZ8fexvGjMGIkZJCfwUHIzQ6deL/r79GqS8vZy60bs13s5l5Ir3AWVmEeLq5qTN6vvySsbdYGPPsbPqsTx/qsGsX4La8nOtjYtQe19ORpmnbdV2PPvOV54YuNH+62KiyEgNLmzbMw7w8ohpORg4Oykp8rmn8eNbk00/bj9iw08VD55s/tQS1FG86MYtmUxOgQ6bzr6zEuzdlCrpNczPyYuBA1vh//oP869WL67duRd8ICMA4mZiIMfmVV+BP3t7IrYwMrqurwzC9fz//NzSg23h7o0MMGID8fP11lTjM2RkQGhyM0VfTkIPyyJ8OHdAP09NV1vMnn0Smb91KPZ2d0YfS0vi9qQkd7Kqr0G8GDcLjN24cL9lPLi7I2fXrVXhmTQ3AVuoXY8fye0IC/WSbMXPDBgVe5UHto0aden+dBH8nhmme6vfTlWGni49Ox5ta0oP3pRBizGn+HyuE6PTH614hxCfn8uFBQSrcTQg8EK1awVwOHEA5HTsWBbV1axiElxeWlZ49VWpbDw+uLy6mnOBgFv3RowACg4EydJ3/XFxgFgYDIYLyXL3rroPRNDTA/Nq04f9OnWBC27fz37FjZFWqr+c/R0eUaU9PlOaDB7nOYsGtL8/3kyDE2xtFPzSUshwdYY7bt1PfvXsBGs7OeBvlIaNHjwI8AgIAif/4B4q6zNRZVQVwcHTkGpmdMj6eesqU6wEB9H1uLuD1pZfYG1dXx+8HDuB5nDeP8WjTBoXOxwcAmJwMkJk6lTp5esKcMzNhpnfdhcXOyYnnTp5MuuKXX6a8J57A+tbcDPMfO5bxWLhQhZtWVBAesXYtzPjwYaxso0YpAP3MM8rDVVkJM/7+eyyKViuhjpMn08aXXwZklZXRx5pGe9PTAXoGg9qDmZWF5VIIvLTSy/raayrTljyfUR5TMG4cQFN6FmfOBHRfdx119vDACzpuHOD3008RLlOmEOZy4ABly0yZsbGMlZcX8/qXX8ha+sMP7OmTe+8efpj6JiZS9ogRzOUnn6QuOTnMvfx82puXx7x0dVXr7iIWCl+KC8ifLjZyd2ce3HgjPCw5GV6iacxdW2opcCcEoLKkhPVo35hvJztd/GTruVm1ivfhw9FNZMbHhgbASk4Ocujnn9GNSkuRL88+y7VVVcg0udWgtBQA9eOP6DVhYehBnTsTUSKTtslEaEOHojsJAUiTifUWLICXOTjA27ZsobyePdG/2rRB5knAWFREWwYNAmQOH862jzfeQH/bsoU6fvYZnkEh0LOeegoj52+/AQTHjEEPWLOG8qxWwN9779EH8+djSP74Y+SyENRx6dLjwV1MDP0oBHVKTOS58sB26cUT4uSHk5/MU3eqjJunGuMLRX9VDtjlRwsCPF3X1wshyk9zyUQhxNc6tEUI4a5pWsC5er485FmSry8LPDpagZuEBBhAeTkArbgY5dhgAIzMnAkYcHcHBLRujcLduzdlzpmD8izjs++4AyVeHndw+LACFEuWsMBjY2FKVivXJSUB9BoaYGY+PtSpe3eVdtdgAFgNGIAX0NsbMCMTohiN/O7lRfsqKgBxAwao8E+LBeV91CgUKIMBMDFsGM9s1YqwvaVLUeQHDaLPvv0W5ufri0evbVuYrKMjYLiggCxSjY0w7nXr6A959s3SpSj8K1fy/8iR1M1shpE+/TTX//ADfZuSQr9nZqq4+/bt8e41NxPKGBysGI6PD+DqtdfIEvXmm9S1uRlQl5UF49Z1gLNMLHPsGIrsDz8wNs89R/0++YTrTCbGxMGBOREVhSCJj1eHsG7diiVy8GAYe3Q07XV3J0y1poY+z89nv6XJxHhUVgKM8vJg3AsXYpFbuRIgrmkAvJUrYd4pKYDWadPo/6ws+k5u0pZ7DZcvp86BgYzJLbcwl+rqqG91NYaAzp0BfBs2IICefJJ5VFiIMLziCjx6eXnKmHDkCPNi2zZAsbRE1tYyn1atoo979mR+SpLC9mKjC82fLkYymxnzp55ijMvKmIuHD5+/OjQ1wbcjIi5q44Cd7GQnG5KeINv9X4MGEe3TuTPyLz4efmK1Ip9LSzFSDhmCTiAE8uPAAWRNYiLhhvKog6NHkVFWK4bVJUvYIrFxo5JR+fnI6X79kJsWC+CnXTvk4HXXoeuMHQtfS0hAF7jjDnQoV1f0w8JCvnt4YNw0GIiKuvde6iYT4/Xpg94lo2pkVuycHPQDBwcMxVFRgL7ffkNH0HWSyaWnI2O7d0eWOzmhT6SnoyvKc+vc3QnZlFmq4+N53saN6KPSW3piOKVtCO3JwidbAgSdyzL/ahZOe/ZO6ELuwQsUQtjmayv847f/Ik3T7tU0LVnTtOTDZ6ltNDUp5TIigsVZVYVHxt2dBRQVBQiyWlFWu3bFQyTPZ7nxRgDI2LEwoLw8ZbkZNkwpvx4e3LNoEdeEhVHeVVfBJKKiYBwuLliGHBxgEDU1eKHkQegSuLm6qgM6c3NR/g8fRrGXMdUS+LVtC0Ddtw9wsG8fwLBzZ7U3q6KC50yaBHBKSYF5/Por1qZRo6iDrO/zzxP2KM/WS0qi32Smy8OHAQcy9C4kBAbu6EhfDBmiMkdlZpJxcdw4YuOTk2n/M88A1p54AmbXvbtK3hEcTD9brQDHhATGZuFC+uaHH/AU5uZi3TOZ+P/dd2HMzc20XdMAhnl5bFiW58506UKbo6IA8mFhWN/y8hAclZUw35dfpsxeveiDl15CKI0Zw/N79lTn4T38MOVNncocuuce6mUwYJ28+27mR3k594eFMa9MJryt33zDWBYU0FdXX4034667GIPFi3leYSHju2EDG8lvuYX/nZwoJy+PcMy772b+vvAC/fvoo4Ra9ugBEGxq4ky8xETmblQUfbNkCf08bx79m5OD4PznPzFwLFvGHHBzo6+uvhpQOHUqAjQtjf8uA2pR/nQxksnEejQaMc4Icbw39nxRfT1Kkn0vnp3sdGmQDMuUn6VyXVeHLrBoEd/btUOGFBYSWijT/cus5o6OfF+wgHuuvhrdxM8Pw2W7dgAsqdNceSU6XFgYRvUNG5BXJSV48JyckJdbt6IH/vorfGXrVmRxXR3lzpiBgbupCUD25JOUs3Ej9cjNRf4VFqILffIJ5bVurfarz5tHJE27dupg9t9+4/dnn0U+v/IK7dZ16lBfj4HWwQFdcsQI2j9lCjqQ9A7Kg81rauhb6SUdPRqDrO2RYKfaB3cycHeuQdC5LvOv7uuz7weELokkK7quz9Z1PVrX9WifE+OFTkHe3mqzamYmVhbpiTt0CCBSU4PC7u0NYCoowFXe2Kgyue3diyJ74ADMoEMHZc2pqoKBZGYChnbtggEsWMBvqakwn0OHsLjU1AAM8vOpS2kpiTcGDKA+FRVYbzIzKSc2FgAis17W1wNYHB0BcgkJgJjrrlOeuNBQFOzdu2Eibm4wqrw82nP0KEBzyRKVbOa99+ifo0fpi7Vr8Wjt2MHLbAbobtkCM8zLIzxCArjqapiorsOo9u8H8ISEACbT0vg9Kop2//473sCwMBhBURFMcvVqwiC/+kod81BaSt/060ebNY3jD37+mX4ZM4a2lJYCjO68k/befTeC4R//wMtkNGKp++wzQEt+PuNVWUm/ODpS/5oamHu7dngoc3Log++/B+DJMMf27WlDczPzxsmJusn9c05OgKnmZu6NjoZ5+/gwbuPHk73wgw8Apw88gCXu4EG1QT0kBA/gp5+qjGBjxjBWqanMnTfeYO66uCBEJk1C8DU14UWUQNhsBjwfPkwdJNgfN45nu7pS54EDMW507MiehchInpmURDsDA1kLUVEATnd3DBAvvSTEv/7FvsyOHdU6tD0y4XKlv8KfLlaqqUFpSElhnlRVqTDu80UVFURH/P673QJrJztdKiTPcRMCo+OaNciy3r0xGG/fjiE3PJz/5ZlyP/1EtMqoUSppSlwcOQFcXOABW7cS1bJ1K7qGqyuG9nXrAHONjTy/Sxf0qaNHVUI3mcOgtha55eyMbnDllYCkNm34f8IE5PWsWehGbm7wIi8vwOCoUcj/khJkd3Y2dfn0U/SFkBDq+uCDGE4NBuq1ciU8tW9fZOu0acjcjAylF/XogRG2pga9assW9D8J/N5/nz6Te/GEAMxKsg3PPNU5dCfLbnk6EPRXeG9LAKu/Wtb/OrgT4sICvCIhRLDN96A/fjsnJM8jE4LFKxV5FxcWd24ui6+4GBCXnIxi+vTTgCoZB71uHQCkvl7tMevShfs9PdU+Mjc3wJG06Mi9WAkJeHnWr1cHC7u5ATwOHUKREUKFSVZUoGj7+FD/du2o41dfAXLmzAHEWSyAvepqgMb69TCYw4dhRKWlgIS4OCFefBGQtGED7Xd3p33XXguz8/ODUbm7A462blWKXWQkdXnuOZiOyQQ4aGpCoV+1Cmu/yYQHqnt3FLO5cwFNo0cDVufNAyTk5sJ4Y2K479Ah+vvQIRhzXh7AwTZRzVtvUb9OnVi0RUUkNmlqoh/79gV4u7jAdF99FfAyaRIMubGRMj7/HKHRqRO/19biscjNpd1du9L3vr4AfSEAd127cv277zIGX3/N83bsAAReeSXMOjSU5+zfD5CsqVHZOQ0G6u7gwDwxm4ntv/VWLIQzZvBfv37MRfn8Xr3w4s2dC0Dz8SERy9Gjqq433qhCdV1c+H3uXObn5MkAY5mh8J13VEhpTIwSUA88QF1mz6bvhOB3ecbh++8z7++4A29jeTn9tnkz93h7068//qj2qwrB2rhEqUX508VK3t5YjeXaEYIxPB3Ic3c/9+cd1tYyZ+1kJztd3CRBRXw8+tLbb7NFwGpFH3BwQE5UVSFvJk8GBHz9NYZaXQdohYVhWNq0CSDUqhUGxbo65FpICHvKZQKww4fRMdzdkZsBAdTDYkHv6NmT8mpqVAbvjRuVkVQeReTiQh3y8lTClIICyg0PR7dyd+dZS5cCWAsKaENlJXqjpqEfrVlDPZYv5zn/+Ac6gY8P1ycnoxM+9xxG6H79VDKW4cPRC0aMAJhu2UKfSqBiMqn9d01NlCeEOgLB9gw82xBNeabeif/J/09GZ5Nd004XP11IgLdACHGbBsUKIap0XS85V4XLJBCuriw+TWMxhoQAjHbuBIx17gyIMRhQmouLWUixsSzUQ4fw/AQFqb1TrVphqVqwgPJlKGNZGUysuRmlumdPmJN8/pdfAuCKilCcIyJ43rFjAAwPDwUADh0CRKSkwPjCw1mMHToAEHv2BMQdO4Z3SO63Sk6GOTo7o+T/5z/UpVs3+qS0FMCzdSvl1tai2EdEwDAbGwkhkMm2rruOumzfDiNs2xYAN2wYANRigTH6+hL+UFCAcvj44zDVlSthpu3bA+CeeAKAUlkJeO3enXI7dcIy5ulJn77yCsDniisIGZVZMQ0GXkOGUPc5cwCPERH0w+LFhE9IoTB2rDovz8OD+jk7w1zT0vCkzZhBP8msfdHR1NPZmTY6ODBPNm8mbHPGDBj2TTcRgrF7NwJn716Y/c8/06erVuFRzM8HDDU1Ma8SEvgcFoYHzsuL5zo5EZoxaBAAVoI1IQBdVivgzGymXQUFeO2ee06lfx40CONC+/aAMOl9dXHh/o0b1Vh260ZfZmbSZ5mZCKUuXRij5GSEzdKl1NfJifL8/RHOjz9OPZ99lvr861+snaVL1Tq8hMPsWpQ/Xczk7s7ay8mBR/boAY+UZxrapj4XgrVcW3vu63HsmF3BsJOdLmayBQJGI8Dq8cfZgjF2rJJfGzYgK9euRR4lJhJh4u2N3vX55wDDESPQUYSAp2gav0VHI5+++QZZKvd5Z2Qgoxct4r69e5HF8+Yh51q3Rl6VliJnvbzQSfLykH0REcg5mcwlPBy5P306Oll8PM8qLlZeQQcHdLhlyygvNBReeeed6tiZoCDkfEwMeQx69VL75wYORI9LSqIskwnvoUxSJgT909CgAJjMMGo0IscTEvhdHoEg9+QJ8d9euw0bjvfw2QK3UyVm2bBBAcPT0ckOVLcDw4uHWgzgaZr2vRBisxAiQtO0Qk3T7tY07X5N0+7/45IlQohcIUS2EOIzIcSD5/L5JhMM5uhRXo2NyjN36BALads2rNMyvX5ICGCtqgrL0f79LHJXVyZ7eDgArVcvGMuGDSz84GAVBuDkBHg8dgwg5O+Pp+rIEcLv+vdHgV6xAobVrx+elcZGFKtNm1DMNY16lJXx/xdfADA6dSIksbycMtq1I8ThjTdgUBERKN3duvHc0FAAzpIlMK6KCvojOBjgERiIp6ZzZxielxfAIyoKIDl/vjpzpls3yhg3jnurqwHLEybQl5MmqVC/vDz6o2dP2mSxwJhycmAAoaGU+8orMKm0NBTFmBgAclYWIGLgQJiFgwNtnzgRhXPbNr4vW8b1ixfznHvvVUxwxw7A7uTJ3NelC6GjMTH0/Zw5lPvRR3jctm1DKCxYwO+9e2OJbGgAtMTFkbn0P//h2rw8+nrqVEDVoUP0xQMPwHBLSmDUug4TXr6c8IyqKur73XcIww0bYPhWKyApJIQwj7vu4plLljC/Fi9mf9zcuYxt37708fDhAPZnn6U/U1Iou0sXgNuuXRgm5BlDiYlYWseNw9scHo4xY/Vq9hA8+ih9r+sI7PHj8SDfcgtrq6wMS+UHH5DUpqGB8aqoYFxtDzd3dDyXq/rc0YXmTxczWSzwFpmYKiOD9SL3NFutzLuWDt18/XWMJXZlwU52uvjoRCAgvUibN/PdaEQXiIkBVPn7qzBOGdXUty9yWhqPd+xATxs1CkCYmanO2tV1yvLyQuaHh1NWaak6/qlfPxKfyKOnPD3RuXbsUEbKnj3R4eRxPn36oA/16IHxvqAAY/XYsdSzc2eA46JF6DdRUdQjLQ2emJKCQXnfPtqzbBm8cfhw/rv1VoywFgv62ebN6AgyYmfzZgyrDz+s+i4+Xh29IPc2Sho+HL3I1vuWkMBLevzkmNiGTMqD0qXn71QZNk/Minoq/nsqMCfLt9OFpxY7B6+l6GzPcrFYUPa/+Ybvjo5YoQ8dAkgMGICiPXo0e9DCwwFgdXUwIpk9rrGRUEa5wTY/X1l1du7kHrm3zs0Nt3pdHcrzmjU8d9gwmIPVilXK2ZnygoMBBJmZMMrGRkBBr16qPllZMJSCAr7LTIyrV7PX69gxQMyQIdS5uBjGcOgQStiePTCPdetgdg0NMMLkZBilszN1r60lVDMrC+B07BhgbNw4mKNMErN3L/W45hrul2fYNTQAAHv3JglK9+7qUNDISHVcwDffAEaGDKHfvvhCeVuDg2nr3Ll42Mxm+nPjRsDYF1+o8c3NheFHRKhjGXJzqf+IEXjKkpMBvy++CEjWNOo3cCCMe+tWwE7//njO5syBmcv9ZrrOvVOmwPzNZpXdVNbZamUs5dk3zz3HfZqmzgS0WACOAQFqD2fv3lzv7a32bD72GAAuI4PXNdfwXl/PmN53H3WrqUHoPfAAbZCbtTMyAFk33aSS6cTE0Ife3oy1ptFfJhNjPHAgddu4kXHy9WX+bd8OQHRxob/btcMqGxXFdRkZ9IEMGy0vx5O5axf9Xl3NfX37Ur8z0eVwzpQQl+45eLbU1MS6+eQT5vfmzQjtDRtQSiTQCw5WYfAtRQ8/DNCzn4lnpwtJlwN/agneZHuW2vLl6hiepCQFMiwWdYxPczNys6gII1LXrshtIbg+MhLg5+rK3vXx45FpJhP8x9cX3cbFBf1N09CxDAZka0MDfKmgQBnIO3VCz/r4Y+6XnsGOHSk3OxsjcFoa5X79NTItKAjZftttlBUbixH1ttv4v6YG/WflSso9cgSj57RptPngQQyesbHw0REjkNkyekcI6v7ww8hMqxWdSZ5vJ2nJEgWMpWcvNRVPqO3B5U1N3CuPYxCC8oRQQFyWvXatAmKnOguvqYmyRoxQ151q/OVneR7ihg2XbpKTS+3Mv9PxpkuoGX+OjEYUbAnw5PkpMixyzBgW/KefYkV54QWSVlx/PeECcXEKkO3cyeL9xz9QlufPh+l06aIOKq+sxJIkD782GPhfnodWUsLvgwezyDIyWNQ7d3LPffexcGfNwhLk5gZTCQlB+TYaAYDDhikwuHYtniN5xl9TE4wrNBSQumsXv0sL1DXXsGDbt6e8o0d5jsHAta++ikeprg5l/aefFDjbtIlwzU6d6MfVq2HONTWE823aRF9WV2N9S00FRDk5qQxZYWFc9/vveMGMRpj1HXcwRvv3Exrp4KD23AlBW7ZsQdGUiWT8/GAkPXtSv6gorg8JYRysVsoyGGDSmoYAkGfZvfOOymJqNjMODz3E83bsQEgsWQJDbmwELAmBcLrmGj7X19POd95hjLdu5Rmy3tOmMV6tWtFHnp4ArlmzAFA//giQnzqVfrJY8BSOHctY7tjB3LRaMUSsXYsQ6tKFMZUHwsrDUaOi6JvnnweQDhzInsMlS6jPrFnMO6sVYTFzJr8/8giAcONGmLncrxcWhtfw6FHmz4MPMmflxvFOnai3gwMhLf36qQQtqakqaY2dLi0yGvHG19Wx99LTk7FsauJdUkuDOyHgD+vWMf8vJaFrJztdjnSi8mt7ltrw4fwvE4GsWIFsMps5xuibb/j/ppuQSyNGKCCYlobXrKEBed+jBwbRlBR0pk2bAEOFhRiWPTyIPqqsxFDp6qqSnR07hszt0QMZ2qcPRmerlVd9Pdc4O2P4dHBALxgwAAAVGQkAPXwYw+2XX6Kb+PsD2mbMILLA3Z0ImC5d1Dm7a9YgS/ftQ8bm5akjliwW9uvPnw/QlXrihg0Y65ctUyGaCQn0jzx6Ytgw+lWGYsoweZlls6GBPnz6aXXf6tW8HBzQBSToEuK/wdepsm5KcCcB4YnXnViGvOZSBnenauulSBdyD16LknRTm0y8LBasLLt2AZyWLlXnwWVlYXlxdYUJBQZiVXJ1Jd394cMAoZkzUTjKytRB5cHBhP/5+KBsR0bCBObN45kpKZQ/aRKgpF077nFw4J6mJhjWl18SJhgUBAMKCcF6VVgII3J2VtmWZJapoCDaumYNCvj69SjpWVks9g8+gDHMmwdw/eEHQMG2bTDL7t1RwEND8VJ+8QWAxmIBiMyciSJ/7bV4YlxdAUGBgfRLdTV12rIFq1dEBMC5Vy/K+OUXgJqTE0k95MZryTwNBrxYubkANatVgY7MTDx5QgAYsrNh1EFBMM+ff6aMf/4TZn/wIEBx8GAW57Jl9EtMDMxP7i10dASArlkD4FmxgufW1QH4p02jPlOn0u5vvsGDN3kyAKZ9e5RNJyfmj9zLV1MDcA0NVVavJ59E0HTtipLauzehjt26IRR0nXH78EP66sMPGW8hqNPy5SqtdE0N8+2229Rh7OXlWCYliEpJwVI6fjz98eCDgEh3d8bkrbfoi19/pf0NDQhYkwlDwahRCMSdO6nbkiUI2dat2QuZnEz7NI1xdnBgXLKzsVLKZDWNjQoInO8MjHY6N2Q0wp+uvRZjVnk5c3/CBKVcyIOHW5KWLIHfXA7C1k52upTpdBkZm5oAJevWKc9dUhK6R2QkXnjJK77/Hr2kbVvkZ06OSv7m54csvvFGeE5DA2UUFKh9dxYLfCg/H2NudDQyyWhUmbybmjBMVVQgR2UegNpa9JTmZvS4w4e519kZeS6N+l26UIcffsDAKT2HV16JXnX//cj75mbk+qRJ6GUNDZTZoQN1Cw3lty1bALUODsj5nj3RRXr0QEcqLQU4PvAAuqnVqkLl582jPYMGqX148tw7IQCmTk7H79MzmdBThg9XRy9IcLd27dmPuSzvTIDHNrzT9v1So0sZnJ6MLlv1y2KBkcjzQY4dY8FbrQCVoiKUV6nANjWhmE6ciKWmc2cW/Hffsfjd3Xm/8UYYhLs7zMRiQcF1dub3pUvVIeJCAMQmTeLZfn7qXJSaGkBTmzYAlPR0GMOQIdybnAzYqazkmtBQFJ1334UhDR2q9hYKAQPKzYVpxMbCvP7v/2C4ZjNMVD4zMhKGs24dfbF6NRaqxkbq0rcvjOHAAcIW5fEQ+/YRtlVTA5Oqr4dp79kDaHVxgWHt2gUj8/fnf6sVRvXsszBFDw+Y8j//qfpp8GDe8/K4PjiY9j7wACDtoYeoY2oqYOT662HwmZl4kl54AU/U4cN4Hh9/nNDHqiraoGkw+DffVKGm992Hh0KGId57L2CsY0eAzn330ZYVKwBx+fn0gRD0f1iYyoy1Zw/9IbNoffopfWAwIMzGjQPE3303v8usmw4OMOZrr+V5U6bQJzExjMGzzxIa+eWX9MmLLzIe/fvD1CMiVGbYAQMAisnJfDeZ1IZvs5m5PXgw4C85mbbIw2KXL6esyZN59vjx9KXcOD98OHW8804ExOTJXB8ZydzYsIG+lvPHdh3a6dKkhgaMFYGBKFsVFayDDh34X2aTa8lMqdXVRA7IxAt2spOdLgxJ5VcItd/O9r+BA9X3xERAzFVXYVR+5x1kUGQk/zs7I7d/+YWIlbIyfuvXDzny+OOUN3as4i/SGG0yIdN9fdV2lcJCdKWKCt7z81WiuIoK9J/cXJ6/bx/vus5zZZIomYvh8GHA1Icf8l9ODv9170701513ont9/z2yd/VqgN7+/fBHIVRG8/BwomAMBozhDg7oXYsXc924cYDFl1/m/6uuos3Dh9OHw4axhWjLFp6zfDmvhATl3duyheuvuEKFW0qyPUrBFqzZ0skA+5+hyy2xyuUC7oS4jAGeyYQSajKx2CwWFPxbbsEdHhuLRai0FAbg7w8ITEzEW1dQgMXm0CEWt9yTVF7Ooi8uRqGvrkaB3rIFb5cQlOviQhkGA4tw4UIsVn36cJ+u86xOnfC4SY/a55/jHTMYUM4DAgADSUmK0VgseNvMZgBIczNg1M8PYPrpp/wnQVtODp8lIElIwNulaYCGsjIAivRkbduGJ8vBgXDEL7+EEaekAIymTAFgGY0wKl2nHQsX0g9LlwKSJHBycSEJzLhxfE9Lg0ndcos6M235csobN462bt/OOM2eDVCTjPa992D45eUw6WeeQSjk5ACIi4oIAfn1V5h+VhaAQ25q/vxzwFtzM9+3b6fNv/9Om+WBrImJgKv+/Umssn+/YmBr1yLg8vK4p6CA8N2uXfFsde1K+Xv2IDjkEQhWK+Xu2EE5mqZi6xsaGPeqKv6TexnmzOHZQUE85+WXMQZMn45HLzycfvjiC5V0JSAA4ZKQQDnywNf4eLxzMTHMtw4d8Nrl5vLbm28yn9LT1fOFIAtY9+7U/7vvKCcpifkpj2Fwd2feu7rynyT73qlLk6TCduwYPLK0lDV46BBrr1MnFI6GBpQdIZQx7VxTaSmGk8tFgbCTnSRpmjZG07RMTdOyNU179iT/36Fp2mFN01L/eN1j89/tmqbt++N1+/mor1R+ZSZH2yyMa9bwe1MTBlwXF97ffBNwtmMHukFoKEbxujqA2Lx5StakpnJP69bInMRE9JaQEMoODKT8Xr3Qp3buRI4FBnK/yaT2mN9wgzrGStfRhSoq0J+6dkXHkpmqvbzQX6qq2EdfX49O6O+PYdNiIYFZ+/YYPy0WDM21tUQ67NjBb01N6GGHDhFtU1CATvDII7TJakWfe+892ikjzNq2RaeU0REyUdyaNQDV+HgMrfI1YoRKYjNwoMrQeWJWU9uEKpJO9MTKYxZO5pU98fpTzYnz4fWy8/8/T5ctwJNUUaEyPm7eDECZPx/rS3U1CkqPHkzO9u1VDHf79iisVivARtcpa9s2GEVjI2F8rVqpDbgTJrBog4J4zqFDKCcyLX3HjjCtf/yDhBqtWsHomptRzj09YVTLlqE0y7S+cXEAw127AA25uQCzuDiuHzmSBS4P9ayvR2Fv1w7mGBZGO4UAyFgsar+c3Ks1fjyexoICLOZt2gCYDhzgGrnHMCWFEIXDh+mT/ftR7o1GrGlOTij5Pj6Ak8OH8Rg99xxg64038EL9+CP9Gx9P3aZNg5nGxADoevdW+7veeIM9e5064cFsaMCy9d13tMnBAQHyn//Q9oICwKPBQB8UFBCO2dysvHQ9elCffv0oY9w4nvfGG7RFHhGwYQPMTXrcjhyhbhK07twJyHzrLeq3dClgSwKv5GS8jAMHqnBRo5E50Lo1ZW7ezHi/9BIe0qoqBMZvv1FWZCRtDQxkDvTqxcbsKVNo35QpeJbXrAHcFhVhFRwzRu076NaNfQz9+lF3CXB79YJxbtzI50ceAbQtX8733r15f+EFPKPHjrGe3nyTkNYnnlBnFx49qg6glXT4cEuvcDu1BMmkCXv38j0kBKNATY3KCBwTo/bwCqHeNe3c1qWmhvVkJztdTqRpmoMQYqYQYqwQoosQ4iZN07qc5NIfdV3v9cdrzh/3egohXhRC9BNC9BVCvKhpmsd5qvpxIEMI+MX27ci3t99Gv6mrU3J0xw5kVnAw+k1WFnJx1CjkfloaIKFTJ2RISQl6Rl4ecuvoUWSY3NudlIQu1Ls3htyQEORaY6M6927bNpUs5YknMKRKULR9O/qXqyt13rULj2BdHR62pUuVMf/gQfjcgw8ik7t3p/2lpYA5eeySs7M6Tzk0FL0jOJhtGevWUSeZndtkwkBrsfCfyYQO5uCgjkCQoZfx8cp4duKet/h49AfbIxFOPN5AAriamuOvkR69ESOOH0s5nicCxRP/t6XzAe4uJy/h+aLLGuCZTCzi5ma+79mjsibKvWAyFvuHH2AODQ1YhGSmy8BALDVms1qcbm68Fi4EeMkDMlNSCEfIzkbhvvlmvClCoKDU1uLhyskhNG7MGBZ/YKDalDtlCsqyuztAZ80aQFR+vtrPFRbGYq2vx6VvMqFIb9kCc2loABgmJ1OXnBxe/v5YtTw98cCFhsJoHRxQ8K1W2iVDN9eswRPWti3M9c47CfPbuZO6Tp4M+AgLA3Q6O6PkVVcDdNPTYUDTp8Nkg4MBHl98gVfozjupo64DVEpL2UcYFcX9y5apUMN+/QCcEhBlZQFmdu7kmn37YMD9+sFIv/mGclavhvk3NyuP2+zZjMkDD8BMZ82CsTc1wei7dAGQmc0Igt27Ae/PP6+yfFqtql65uSSo8fAAJN93H2Pm4sLn9u2pc9++hHtefTXGgX/8g2vkfsqXX6ZOZjPjfN111CU5GeCXkEBbq6oIH3nkEYSgl5c65P2LLwDv11/PHPnlF/qxvJy2bNjAWErvZnq62tgeEUFfzJypLKLbtyOo4uOZw61bq2Q8cXHMv6Ag+qhXL8qR9wrBdztdemQ0witmzMBYUloKwJO81NWVuSEEv0k+6+zMevY4x6rmRx/Bb+0C3k6XEfUVQmTrup6r63qDEOIHIcTEs7x3tBBipa7r5bquVwghVgohxrRQPf8/SUVbiJMn3BgzBjk5Ywafd+7k99RU7pVG1wcfVEcPREUhu+RZsSEh7HVzdVXG94oKXhER6Bd1dcjovDx1lIsQyBuZTXLLFoBiejoGSZmbwGJBX2puRierroZflZRw34EDGJ/79IHnySipo0cxpmdnK0+btzdgc8QIQJ+DAzqcgwPtXLsW+Wy18uz0dPSAjRuJtpJ75aZOpf0ODshaiwUDqgx7lf1eWXm8x83WSyfzThiNx4MzmVX8o4/UAem20RYS6J04lrag7lTg73zR5bY37nzRZQ3wyspgCnLjrZsbAMHbG7Dh6wvYqanhVVDAfb/9xmKsqEBxlunn6+r4PTOThebqirI8bBiA7rbbAENjxsBoiov5rmkws59+giHl5uLxSUrijBSrFcvV7NkoUkuWqD2BgwZhHWrbFkbk64sS5eSEF/LwYRhSbCxhl8eOoYivWYPVKioKT5rBgLK/ahXPkh4lGeLw4INY2f75T9or967FxADQiovJBOnsTLs//RRAW1amFLrXXoNRjRqF1S0pifrU1qIkrl8PILr+ephvSgrPzMujbQMHwoSE4LljxtBXH34IoBQCIPHll4CdBQtItlJXx9ltJpNivJJZRkQAynv2BKQVFdGfLi7KUhYdDfCSB8mvWQPQGjMGa11hIX1pMsHsm5pg0k88AcC1WgFWVivjMmkSCVaEYG5s305fJCbCvN97j3LT05k/M2cylvIA9ZQUQFl0NIJxxgzKmDgREPX++wiPiRPxrL39Nu2JiMBgIK11jz3GHOrYEY9pRAR1nDgRoNulC+B8xQrCi7t149q8POq+c6c6QHbVKtZOu3bM9YULVXrr/HwMEo2NAFs3N7UGz0emRTu1DJlMrFWzGT45ZQpj6+zM+nR1ZX1ffTXrxmLB6OToCL88l7RwIfzDvqfTTpcRBQohbDlk4R+/nUjXaJq2S9O0XzRNC/4z92qadq+macmapiUfPgfhFLYgwpZMJuSN2Xw8wHB0BChFRGCklNtNdu/m81VXITNkpNTmzciqDRvQ0Q4dgtc4OyNLduzAyBgejkwsL8fAePQoekBtrTqHV9OQ+5JKSnhv3Zry6uv57OgIXwsLQ/55e6t9gXfeSflhYRjrN29mW0puLs9askTpbN99h75lsSA3Fy5ke8ekScjnPn042/bjj6m3BL0WC/pSjx7oTkYjRvZu3fj/gw+4Ji4OvSs29vjslhaL2hMp99ydCIaSkjCunwzMnW6sT0XnGmydDVi0g7s/T5ctwGtqwmMXGIg3xGpFAW3bFkbi5QXTMRoBJ8HBXCPPjxMCJpCZCbNwdISBuLhw74QJLKiqKhZ3airAQAKE1FSeLy0t9fU8x2zmPS0NQNncTMhTfj7ff/4ZJqPrgIyMDDYoJyej3Dc3EzJQW8tCX7eO8mWYY34+5ZeVEYo6aBAMafhwGERjI21auBCG9957WN/Xr+e54eEAo/vv53taGgy2Tx8yYdomkUlOVhuPm5sBG7feSmjXTz/BdGfNwlKVno6lavJkvILu7tRdeqkmTwbcjBxJWddcAwNvbqZtFgsCpLKSNg0ezH3PPUeba2pUlkirlQ3HhYUw6D17AIODB9Omq6/m86JFXH/vvQiFa64BxE6Zwl49uRH66qsRYGYzTFzGvDc0YM0bORJv3MiRtLOpifp88gn3P/gg4Sk7dlDXV18lBHbYMATcE0/g0czK4vpu3Qj//PZbvvv50SYHBwBcWJgKcenTh7HasoU2dOqkkvjoOm264QaS1AwbxpyorCR8xWBAsI0ahVCTqa0DAxnzO+/k2ZMnw9DffJN53aqVAsN1ddTj0CHmkNEIiJbk59eiy9xOLUgyTHPdOnjN4sXMkyuuUGFFDg7wrT59mH9CwGOMRnjmuTrovrwcnrJggd2LZ6f/KVoohGin63oPgZfuqz9zs67rs3Vdj9Z1PdrHx+dvV0aG+J24p0sej2CxIF+mTwd8PPgg8nL/fiJuNA2+UVSEDtWxI4ZnZ2eVfbmxkaiXujr0mMxM9AB5tqoQlNejB59zcrjHYMCwVFuLDuTqynVeXmofuhAYZWUWa19f6pyRQd3q6tAXZ8+G56xdy3taGu2bNAmdZ8QIZHJ1Nc/JyUE/y8/nqAJdhwdu2IDOJDNdf/IJ+sjChbSrpga9bft2eKkEMQ4OyOstW5DvmzfTbw89BFiThq5Bg+DFVuvxXi7bZCsSlG/ZcvqDy23H0/b9xP/+TBbOs6GTeQTtPP7c0GUL8IxGPBUPPshCat0aBpCYiJJaWcmicHEBYFmteN0iI9mP1dgI2GnTBuYTGwvTqKpi4Xl7EyO9bRuK/eefo8wYjTCtjAwAixAs4rAwlTmqb18YgDzvTKbYDQjge3ExQOmzz6i3vz+Kerduam9fZSUMKzOTulosMLajR2FqMvPUN98Qpig3AaelKQ+Llxeepltuoa6ffMKzZ8xQqclHjMAKNX06oa2dO/N6912AZn4+zGjAADxJcXF48crLYaKRkdT7t99oz4wZKiPVd99Rtky0kpmpznjr0IFyg4JoT00N191+O8rklCkw5JISrp02DYBRXs5YNDTw/1df0adBQWovnRCAtZdeAuS9+CIga9EiQiqnTWOcf/uNPYvl5XjNJJAfMABm2707ILymhjlQWUnY5Lp19GXfvswPmTmroEBl5uzcmXpYLPTJ5s2ULT2nSUl4JV98kb7PzYV5d+umDBMREYzvBx8wt2NiaFdgIPd37Mgcyc7Gc7htGwaOjz/mOT17Mr6DB+PVTE1lLhUW0qZXX6WtY8ZgpZTn+Rw7pmL2pUe4Rw/Kzs9XmV2FQGDa6dIlBwf41vLlrE0vLxQWf39+j4xUmeuuvx7w7+vLfJR7lc8VlZf/t3JpJztdwlQkhAi2+R70x2//n3RdP6Lrev0fX+cIIfqc7b0tQSeGytkq/IMGoWts2ACoi4tDdj31FGDuhReQdzLsPz8fWdvQgKzr2ZPPNTUYj8vLKb+8XEXmCIEXzNcXnqRp6DMBAegFQnCtTI53+DD6XWamykOwZw8yOCSEz0Kg/0VEoAc5OqLfmc0Y92trkYlXXYWBqXt35G5KikrS0q4d/DA9nWePHYvhNCMD3WLlSuSz0QifvOIKlWDlqacwVF9xhWpjbOzxYZQyDNNspl+lPiJJ7i88cVwkrzSZ0AFO3Gsn6cSEKrbJWk43/qeiP8OjTzWn7Hz+79NlC/CEYJLu2UOom6Mjim+rVizK6mq8ILt3A2puu41JVlWF1cjTEyZQU4OSGhAASPDwYPItXgzA6dWLRb9hA9darSjDBoPaECyPMHBwoB5btqA8HzwIY9uyBWA2eLCyiK9ZQyhcr15YbQoLUabGj1eLtWNHPGGHD1MnmVzFw4P69u4NY6uoACgWFaGI+/lR13XrYI6ffAIAbNeO582ZQ92SkggdGD0aJtWxI8r8/v2EFc6bR3nDhgG0Vq+GMRuNWLXy8qjzlCkwz5tuop66jrK4axf9/+uvWMyuuIK9kBMncu++fTBRiwUGGBZGncPD8Qzu34/nTMbve3nRTx98gPAYOZJnOzry/eefuVaGVMyZQ9jhsGEA3Q4dGHd/f+bJ+PEw6Y8+wqI4bBiMV57V9/DDgEkZkrJ3L2MzfLgK4Rw1Sh2L8Oqr/J+UBHh85x1CMXv2ZO49/LACgTJxjty83rUrz0xPR8D06KEOhH/pJTxzTz8NCCsuRgjIZDD33sve0IYGhFGHDgDfrVupt9WKAJLHYYwfTz9NmABgTU2ln2fPFuJf/2Kc8vMZw/btVWKgmhrAoC1jPgdGYztdIJKb+E0mrMhr16LkuLoqQ5ObG+CupgaeGhqKQhQWdu6PT7BY4A/795/bcu1kpwtESUKITpqmtdc0zUkIcaMQYoHtBZqmBdh8nSCE+CPtkVguhBilaZrHH8lVRv3x2zmlkynZpzrc2pamTEFudOiA3vTKK8iqtm0ps7QUQObri3dOnlXs7Y28Dg3FOCQjALp1U0mc5s5FRxMCGdTUhL6yaxe/lZUBCmtrVR3btVP6n6srvKmoiGvc3YngqqhQesyhQ8j78eMBazJjuqcnW0by8tCF2rRBx/n5ZyJ9ZCKTm25Cxq5di/7m4YHc79MH/aCwUB0dIYTKwLl8OXrVo4/yW69e6BE1NQr0mEz8LsdHZue2HauTgaZTeV5lJk3bPX0m08lDcU8c/9N5+c72+AX53NPV/ULTxVCHv0KXLcBragI4xcWh2MpUucOHsyDKylhc3t5c+9VXLBI/Pxby/v0wo8ZGlOYVK7jWZALo1NaiECckwHiOHGHPUnU1IXFCUFZ4OM/q2JEY8mPHeO7o0YCq2bMpp1s3PCw9esBEvL0BfPIMvbffVnvuJk9GwcrPx8MSG8s1AwdSpoMDr44dAXbu7ihizzwDEyorg4mZzTCxFSsAYDU1AInXXuM3XafMX3+FUX/7Le1p1w6Gl54OcPn+e56/YgVtX7IET2FEBOV99hlj4OnJ0QMTJ3Kf1Qojr6zkWdOmwRhnzKB/Pv4Yr6HJBOgymxEWdXXKsvbNN4QSXnstz7v5ZkI1y8sBemvWsDdx5Ej6fu5c2ldVpbJIenpiFZQWtJQU2pGXx7wZOxZgtGwZjKt7d8WUwsNJOOLuzlyToREDBqgzA0eNQgj861+ExHbuTJkPPICRoX9/YuslQx89mnovWYKnVB6dIMFYejrAWAj67bXXuO+VV5g3EyfiEdyzh36fNUu1t1s32vvRRwDBujqsekFBjIn0yOo6z5ozB0E4ciQCqaaG8cjOpg7yiI5eveiD7duZG5JkCn07XZok03XPnq0yaUoKDWV9PPigssjv3csckWHt5/qg++Zm9gnLkCc72elSJV3Xm4QQDwmA2V4hxE+6ru/RNO0VTdMm/HHZw5qm7dE0bacQ4mEhxB1/3FsuhHhVABKThBCv/PHbOaOz9aRImZeQwB77HTuQG5GRQnz9NRFCo0cjB81m5J+PD7LNxQUdp7kZWejrSwRVfj7yvU0bjEW7dildJijoeG+cxcL99fWKX0VGKkNQUxOfGxooU2bGlAeC9+ihzpJ1cFCes4MHqY+sV1mZchDIPYDSOBoZiZFVZpN+7TV0wu7dkaU7dqjs3wkJXC8jyV5/naQy8+erffwyuuvLL9FnzObjM1+OGkUd163jPT7+v4HXiaBp0CAF8iSoW7785F46CQhPt+f5VPPDNvHLyf4/1ZENJ5Zxuv/PJ10MdfirdNkCPKMRpfPTT1ncVVUsnK1bUVR69eI9MJBFKAGVmxvKa0gIAxoaqtLqHzoE0GhsxFPh5MR9QrAxuKICZvTjjzC0K66AWbm5YTW65hoY15o1MKQJE2B2e/agEPXpAzAJCKD+27cDnt54g/1nbm4ArS1bCAcoKwPUdO+Ooj5pEpb2vn1hTnPn8oy2bfG0DBzIor32Wpiknx8KWUEBdbjhBphOaSnes969afs//0mbvbwAsY6OWK8aGmB0vXqpfXg5Ofz/0ksAh7Q0gINMqtK/PwwxK4vv7u6AtF9+gZHdfDN1lnveYmPx3u3ciSc2NxfgJoFf+/YAJwn6Xn8dZldWBjNNTgbUfvstQOfgQRU68cADjKHVypivWsXzoqLwtoWFUVZMDAJGngXYvz91fest2igtd++/T99NnQo4s1iwxEljwr//TdlpaYDZdetQjt3dAaHPPks71q+n3jIkdvFixfiffZZXbCzCNDubvnn+eQDe0qXMR6sVy588l09mJE1LYy189x3zbOFCdQTGnXfSnzIcJiuLuWJ7nMLzz+NhHD+e8BhdB+ANHar2QkZEqHV4rhV8O51fMpmYax07orjMnYvyERGBwSQ9HWVu3z4MB9Ko5erK3OjaVVmpz8V+zOpq5rsd4NnpciBd15fouh6u63pHXddf/+O3F3RdX/DH5+d0Xe+q63pPXdeH6rqeYXPv57quh/3x+uJc1+3PZC6UeQBkspBbb0WGubkRQTJtGrI7Jwf9pLmZNezvz97a999H16qvRy5aLMhFi0WBs4YGnrNvn8rmKwSyThqe2rSBZ6Wn//dxLRYLPMjLCzlsMPCbPEpoxw50pNxc9KyqKmS20Yi+1dTEe8+e3NevH2V168YzGxuRldIj6OkJ75P7+h0ckLUff8zzBg5E1rdrx+9CoJv0708bN25EnzOb1eHm0kMoBPrAkCHH792TY3GyvXYm0/F79OLj1b0nHnlxIiD8s/PD9lD102XgPNMcuxiyZ14MdfirdFmrX97euMdDQ1mYNTUoKRkZKt18UREM5MABBULq6mBEksns3Ml9yckqbDM5WaUOd3XFBe/hgetdellWrgSgycQmhw5x/U038fnAARU+kJQEgJBHHgwcyAJfu5bP77yjvINeXgCq7t05+00eR7BiBdft3w8TcnND2crOBsA99xwezORkQhK7dqUe112nFntjI4q+zICVnc1nXed93jzCWZuaCE+sr6cuR47g5XF2BpC2bs0z5P63SZNo79y5HAfQoQNtjo9HKHz4IeWWltJ/mZk8a8sWwgRvuomxCA1lLCRIbm4GpOfkAKZffRXGGhwMY3R0BGRNmULfWq3MjY0bKUMeOn7vvYRNPvYYQLGkhHH/8EP+79ED8BMVRZtkBkkhKPOpp1B4ExOpQ14eQO/KK+n3qir6a+hQPKmPPUZ/r1oFGNy2DeYurYO6Tr84OaFcx8ervX9CwNj37GE8GxroI5kcZdcurIEWC/UZM4a9EMOHU+7ixfRbVBRz79tvqeN33yFYrFaE1623MjfefpvxMpkAzRs3Mo4S4Gdl4RHWNMq74w7VN87OLbCw7XTeqKmJdevkBD+xWvHcZmay7svK4E/+/hjF2rRhfcoEPE1N8CtHR4wr54J0XSWXspOd7NRydDZ7rSwWlZG6oQGZeuedyK8OHQBSc+Ygc3buVEDLzQ1dytubl0xWUlGhooRcXZGJQsBjamrQLU6kxkauKy9XXqfgYHWvEMjnigoM2lu2qLZt2oSccnREn4qLw9BdUKCOS5LHXMXHY7yX5ypbrTxTJnqRBm6jUeklX3+NPP39d6J6vLzgpxYLOtD+/RhmJ06kP2fPRm8dPhwAuGIF9YyNVXvvEhJU+Lzt/sQzJSqR3jkZ6imzcdr+Lvfg2QLCU9GZ5seZjl/4K2WcjFpaFlyK4E4IIS7Rap8d1dSwQHr1wkLi7s5EKCwEFAnBYgwPx1OyciWLsrAQxrRvH0zIaETB792bBdnYiJITHIyX58AB7hkyBE/JoEGE7f3zn1h3kpKUF8dshsmkpqrMiEYjHpGICPaYjBoF85Ax383NAIjSUpTuqipCBQwG6rRvH5/btqVO8uDQoiIYVkgIgMPHByYxZw4K0tixMJ2GBkIBHn6YcIqtWwFLubkw6n37lIcuOpo+3LYN5uvkBIipreU6IQALMozCYuEZmkYbDh7EY9euHXsXFyxQB8VHRtJntbX0mW2c/tq1jNWTTwJ4pFfgq6+wkDk4kCRl/nzqU1pKWa+8Qt+EhdHHTz/NtTffDPOPjFQAeexYwM+ECYDVzZth/pKBOjvD/OfOJdRSnrXj4gKw/uADQKIQKmnJuHF8d3Fhv8DatSi+y5czLgcOqANOMzMBsI88grc3KgrBN3Qoz8vPB6wtX04b4+MZX5ndUwi8lA8/rFIvNzQAZIWgPl270h9TptC+uDgsqv/8J4B03Trm9tNPA+QefRSB8thjrKXFi6mDhwdz4vHHVX22b2ecf/xRrUG5V8JOly65uMAXVq6Ex8TEYBgymeABaWnwoy1bMADs3auiDPbuVYkIzlXCldxc6jJunOIDdrKTnc4vyT1j8uw2ITD0PfYY20j++U90mZwc5LKDA/JW5ivo3VvpMnv3ol/4+8MrDhyAvxw6pLx1+fm819WpUExdV/Wpq4Mf1dcj94qK0N90HXno4EDZDQ3oQgcPKp3QaMQovmkT8rKpiec+9JAQ//d/yD53d/bfOzqqzKBVVehpfn6044knAHPff4+hd8UKQlEtFvSWBx+kriYTRtdjx7jPbOZaq1V5BIVApvbqBV81GtUePtuEKhKkSXA2dCjjsWGDAlOyjdK7Z3vf2rXorBI0Ss/dX/VanRgeeiKdjdHgzzzXtt2XKhBrKbpsPXhNTSionp4oII2NKNLNzYSm+fjgVYqMRGHYuBHlWrr6TSY8GyUlMI558wA+Mm3/NdeoLIXysMyUFMqNj4cxWCwo1fX1KM/V1QBNgwFG1K4dCvTo0UzQDRv4raKCZ8gz5fbuhQEYDFjIe/em3rt2oXClpirLmbSw33gjoC0vjzKHDQMcpqTARA8epF11dfz38ce0/csvWST9+tEPckPzsGHUISSEsAGrFebW2AiA++ADgEBtLR7STZt4hqZxX6dO/Na1Kwk71q+nLY6OALhOnQAczz2H16hvX5TKsjLA09NPwzDfeAMmu3gxgGzOHMbYyUmFZmZlEVrxyy/q0O2sLK4fNgwQ9vHHeEp37gT8TZsGwAoIwGtpNqPIrlyJp9TJCc9UairXb9/OnImPB9i7u9OWoUOZbx9+SN9aLADfwYOpx7ZtANErrqD88ePxxKWm8pw2bciy1bMnz5s/X1mn3n4bgfWvfwFKjUZCKEeOpD4zZzL2K1bQj5s3Uxch6M9evVC2e/bEs7djB7+7u1PmjBlYD2NjuUeGwR0+TFv37gW4C4HHVobSynC9hATmemHhuVrFdrrQZDaz/tavZx4fOICxobISj3u7dhjDOncG9Dc2qvXT2Mj6b2xkfshwdiH+viCeOxfjht2LZyc7nV+yXXMS3ElA0tCALrBjB1sX5JmYgYG8OzvDLx54APmoaSrxypAh6lxfHx90DNtQTElWK/qTlO22vGTwYBWl4+iIDJP/m0xKptXW8lxXV3hVRgY6iJ+fSsZy5AiyeO9e9B6ZbT0gAAO0lHP33KO2rSxeTNvWrME4PmuWyhjeqRMy9vHHAVlhYcj9iAj46/btyOv+/VVoZK9eKgt3QgLgzmQ6vs2VlSqTaVycaqsEPPKcPAmcRoxQIZm2HjWrlWfY7qE7W/5qm4XzZOGhZ9qHZ/v5z+53+7OhxP9LdNkCPGntWLMG5aKggGQhQUEwEV1HESkrU+fL6Tqen8BA/vvmG8Lyjh0DHNTUYEWyWLBQr16tMjKNHAkT8PDAsiPT1QuBwpySgsfDYiHEQIYlfPUVSrmm8W61wujWrSMz04IFWKodHVHEfX1pm5MTXsX586l/UBBAR5739/HHAAKTiRCC+fN51q+/sj8uOholv1cvgFhcHO0cMoR9VrfeCkNr355ys7NhntID9PHHqi7SEiazRX3/Pdf264cX6ttv6eeAABjY88/TXzJLVWQk/fX994Cyxkbat28fTHjmTJTM+fNZyOPG8Vq9GmDSpw/Mcc0aPGdPPUXf3nEHjFoeVv7II/z+4YcA9pUrAaWNjcyPO+4A8LVvT/8nJVHPr76C4d5zD3XdsweQ5OBAu6ZPh8k2NdGG665TRw18/DH3CEHbDQaYtNlMG6V38MABBKXZTJuuvJIx2rULhVp6R2tqGL9jxxAKTk6MwYABeKKNRkDctGlYGR97DIHx3HOAOXkW0K5dgLEnnuB5n3/ONenpCN733qPfv/iCcevZk5ezM3WW2UenT+f6mTP5rajo+CQrAbY54Ox0SZK7O8asdu3gQwMG4AHfs4c5Hx6uEipt2cK613Wu9/FhvoSEsPY0DX5iG1b0V8l+BIed7HR+6UQF3NZ7lJDAmszPx/g7cCCyqG9f5OfEiegpW7cStlhcjG6SmYnRWkbp9OyJTnGy/dvSSFRRga4mny1JesGEUMlXamoo9+hRJf+OHUNOHTigDOozZ1L/oUOVzPPxAYj17Uu5ZjP1zcwEDBqN6CzJybwOHkT+x8VR17Aw9I+771YyXEbsTJiAR8/TE0P+U08B/nbswPgrE6iMGoUTwBZIS6qsRFfr3Zv2SkO7xXJ88hvZJ0Icf06eBH1GI8+w3Yu3fPnZn5t3OlB24pELJ2bZlCGhsm6nA2un2w/4d+t5OZKm2/q4LwGKjo7Wk5OTz+rau+5CQZWbd+UhnL16sajr6lSctJMTsdH5+XhJYmNZ5NXVTPSePQFgkZF4YeQBmTKTXH4+zCo0FFBSVoaXb9o0GFWPHrx7eGB5fvFFFP6GBn5bsAAQuWMH/z/zDMpSUBBlpqTACDp0oO49e+JdPHQI6/nvv/OfpvGswkKYrNFIfW+4Aea0di3KWn4+jCE7m/b5+9NWTaMebdtysHVYGH1ZXs4rLAzm1bMnoQfffktik6IiLFfp6bQzPZ225eUBVv7xD0BFXR1gYuBAQhGWLoVxffcdfd7cDNh6+WXCPHr3xsoVHc11gwdT39RUmKTVCnB79FH6KSaG37ZtQwAMG8Y4rFqlNlMvW0bopjx7ZuRI+sZoxLuXmYn3VB4tIDN2yUQnP/4I0HnpJdo8aRJguEMHwNQ339DH+/YxX+Q+AHnGz7ff0rbhw/GYPfggTEduKjca1YbqhgZAp0wlrWmUmZVFm4VQ1j95tMHo0ZRVWYnnTSrCDg6EXyQnswY2b2ZMv/2W8NHycpRyg4H6TZ9OO2+/HYX+ySfpz23bEHgmE/3o6Mhz3nyTPQZRUVwrBHNx584zr1VN07bruh59Vgv7IqY/w58uFZIg7uhR5uRDD6lswrNno+hYLKz50FDmQkQE6y8iQnn0ysqYW7YHFv8dCghg7kseZSc7tRRdDvzpXPEmqSCvWoUc/+gjeEJTEyDpmmsAOZ07I1+tVjJpl5Twm58f+sL69eg3eXmUZzajS9XU8JLeO0dHZJfFokIsAwMpT15jMPy3ty8gAJ5zqtDwNm3UQeUy27OLC8aogwd5XqtWgMGJE9Eb5LFUfn7oaI6OROT074/BPDMTPbJLF/jgyJHIw+xs2i6zdaanY3yVIeaVlchlGeoqwfLu3VxnMqG7xcRQB1sqK+O3VavoNxmKOnr08cDnZIlYhDj52Xg1NbTnZKDyZCGUtr+d+FmGgNqWY3uNxfLfIaEnPkO24VShmGcbpvlnwz8vFP2Zep6ON122AO/++3GPn4rMZtz0V13FxDAYmNTSUiP3kAjB4k5JQYkfN45F5+uLlbqykkVbWAizaNeOeyoqWNAytjwiAiBgtZJ9ceRIGEtdHc83mVikWVl4pIKDYYAFBTCM9u3xYr3wgtrX5OmJ2z8vD2tY+/ZYsCQTcXVVHp2ICOoh9/317Ut5JhN7trZvJ9HIO+9Qp9hYtbfmpZd43XsvoVFBQbR9yRL2Y8nMoXfcAVju3Jm+b2ykf+RxDcXFtCUriz6VGUQNBia0k5Pa3zd3LgC9Xz/q7OyMJczFhbHIygJYfvEFIPDXXwGSTk540bZt4/vGjew3c3FByLRtS9+XlKCMDhqEde3HH2GwEtDJDJ5CYBWrr2dcrFY8iePHc015OeD0k08IIR09mmeNHMm969bh8Vi/nnJl+GxODuMgnzF9Ou1LS+M58p7Nm7m2fXuYu/TyNTXhgdyzBxA1eLBigrNnM1YzZzI/li4lZPX552nzffcRihsaqvZmfvQRY9mrF9cHBtIf999Pm5YsoW8l2GxuZv3Mm0fff/cdHtWePdlHKusiM7eeiS4HBUqIyxPgRUfDHyS1asUcatUKw5TcE9LUhAEiIYF5tG4dipwMazp2DL7h6MhakJnj/g5FRWHwsQ3/tJOdzjVdDvzpXPImuf9u+HA+JybKZyCffvsNWbFxowIkXl5s06ipQZYcPYqeZDafOiuugwOyRp63eTJyc1NHCZ2JbMGcNBB7eiLHIyIwmFdUqGtbt8Y4PW+echK0bYsMT0rCOJ+YSB00DUN5UBA6nUzuJwR6YevWGEu/+gr+5+yMx04IDPC3347uMHbs8R42CbQsFozZb73Fc4RQCW5GjOBa6cE8E8CTYyiTrdiS9AQ+9NB/73E+GRiTZZ3O6/Zn9t2dCNZsv5+sHX/mOZcC/dk9hafjTZdtiKbcQ3Y6cnPDE9SpE+AtKAilJTcXK84NN7CYq6pQ2MeORamurub6qioW7ZYtLIT27blHhiWFhRGHbTBQ5qJFKMO1tQCKo0cJERg8GEVl507qcvgwAKahASAkBDHiiYkwn7vvZv9LZaWyNlVWUn779jCK+noYq8FAma++CpMZPRoFq6QEJnXNNTA1Ly/KTEoiPG/qVIDe+PF43oqKsCQFBMAQ5H7AJUtQ7qOj6RtNAzT5+qJ0xcfjLQwIwOoVEkLfXHkljC47G5AhU/F37Qq4SUvDUxgeTn2bm2GyNTUAtvBwQMr+/YCka66BOcbH006ZnnnECOLeU1IATjJ5zLXXwgw/+4zxMpkAI8OGwRyjowmvXLWK0EwZcuniwu8TJnDdjTcCKMPCAJzLl6uDR4WgDzduVIeMd+4Mg+7TR6VJnj4dMDxokAJ3SUlYBY1GALLBQLkzZ1JviwWweP/9hHBs3AhImzGDvpEx/E5OzCFvb/YvNjezbzEggHLuugsB5+EBwHRzI1OXwcB/Q4ZQrosLY9TUhAcxMxOl39cXT66zM57I6mrWjCQZRmOnS5eSk5mX8nDd2loiE15/nXX6ySfwLpn0qVUrvN8dO2LJHjQIXlFVBZ86dIj5FBPz9+uWk4MyebrzmuxkJzu1DK1erfZ1DRyIbFyxAvl4553oK9u2YZTesgVdxcMDeditG69Ro059nI6m8d/pjEEngjtX11NfW1eHzBJChS2WlyO/nJ3Rg9q0QSbW16M7ffUVcqyuDn3v6FGikHJyMGY6OyNXe/dW+QPklh1JBQUYuO6+Gz2isZHXhx+ie8yciXz96Sf0uJoa1bd1dXwWAl3lmWfoD4vl+JBUo1GFvg8ZogDcqlW8bHmk/C8h4eTHKTz66H+Du6Ym9IoTD0A/U+jjideeKrun7WdbcHO2e+wuB3AnxLk9luEy6ZL/ptMpD23asHgNBoCOtCrn5nJfYyOWkoIClJmcHBhSZibMwdMTJhIcrA7r9vJiAf38swobbGrCI+bri8WlbVu8P23b8j0vDw9fYSEKT6dOHAewZw8LV54nJT1cK1bAIJubWfCHD3POX0QE9ZahDosXszl4wADKl4eN//wzAPCttwAtI0fS9m3baJOLC68ffwTgTJ5Mebt2wTjMZpS8+HgscZs3839AABZ9b2+8P198QZuXLqVNYWHUpa6OtoWFkZmqTx+VwGTvXv7/+ms8UN7eCITp02nfxImEPM6Zw/VPPMGzV61SXkV5RIXRiGXxvffwXPXqhafh0CEESmIiY/3OO7RJhiq8+y4ALD2dcu66C2YqN5J//TUgxmSC0cXHMy47dtCO3bt5pq2HbeFCwk2/+YZwTnd3+mLOHDxvQlDmhg0oxUOGqOyWiYmMa//+gCwnJ8BVQwNArksXxmHUKNrbr5+y5q1fj9FAemxXrACQOTgQmvvyywDupCTq0LYtYLt7d74vX8679MgOHYpQ+eUXnhsRwSb69HQ+u7hgLDl6lDVlp8uLpOE/MZG5GBLCOvv3v+GlK1fyGjSISAUfH/jGnj0oea1aqbMtQ0MxbMmseH+HqqrgJW5uGHkuFyFvJztdzCRl7IoV6CLDh/N7r17Ip8WLASqzZpFN89ZbkVUJCRjH6+rgD1VV6C0yvNLTU+2PCw0FGJpMyB7bfWSnI5mExdZTJ3MsNDWhB8gtDIGB6C/5+dTpH/8A0En9rLwcsCXPwROCd1dX6mo0Um51NW2TyeTq6jB6PfYYeppMltKjB7rIkSMAYOm9fOABlUthxw61X3/AAPSKbt3QUwoL0VPk1ov0dLyAku8NGYKBVgj+e+QR5d2Tnjch1JYVW7L1gJ0qLPNkwONsAcmZwkJPLPPEZ/+VbJkt5dVraW/huSr7sg3R3L1bKauSvL0BbL6+TOCKCrxn5eUwkv37URLS0li8eXks3IAAFOCMDMBfSQkLr7oaxuDlxUJetgygcuwYnrJ9+1CC5T6RhgY8Xp07syjvuAOFKCUFb1NBAUCzRw/24Y0dCwPdt4/runQBQEyYgEK9axd1HTeOdgwdyrOqqrg/Ohqm4uhI3TWNEM/vv4dB9OwJsxs3ToUeFhfDZKRHa/164uiFgGk3NsKcbriBOmRkKC/V3Xfjobz1Vp7x5pswyuefp71vv005r7yC1b9XL8ocN46+yc5W5+rdcMPxTNJkou9++QVA0acPgKdvX36fMYNnpqTAQNu3VyGdQ4fCFO+5B+a5aZMKJbFaASZ33UWdmproF7kPTy60adNUmK3MxtXUBAC97TYA7l130d+2e+66d8cq164doPL++3lOeDjtXrdO7Q10cGAcjUaeYcvYpPXto48QIrt3U89du7AcOjgA1rKzlTdzwABCLcLDAYFbt9Jvc+awX3DnTgCkPOw9Lo59ie+8wzPNZoTgrFmsm5QUDAeFhTzv3nsB4TIR0OHDGA8MBuayEAown4kuhxAoIS7PEM3TUVkZ4dtCYIWWdMst8IrNm+GBXbsyj+SxNOnpgL70dPjJ36W0NJQgO9mpJehy4E/nmjfJME2rVRnA77sPGVVfj3HHbMYQ2tiIHqDryKb77kOGLVqk9sjJKJ7CwuPPzGzVCvkjhNqDJ8nZ+fikXrbAzpbCw5FlR4+iV3h7o781NPBcLy/AXm0t0VNeXuh9zs48PzGRZ+u6cg6EhKBrdeqEvvLDD+iGfn7KmHXsGBFGjzyCrKyro81t23KNyYQRuawMY70QyOi4OHWslvRerl2L/jNzJnpZaio64fjx/C9BmdQVmpqUsVganW33vdl6yE4XBnkujyE4Vbjo6a4/MVzzr957Ntef7XUX07EM/5N78DIyUC5tydFRHWgpY68tFhbtFVewaDduZIHm5BBi5OyMYj54MOAgKwvrj7MzC/6GG/BYjR9PGOPQoSzA8nKU58hIFl5YGIlQZCYlDw88LIcPs+jNZhiHiwuM8Prr8TRWVMAgS0r4b/BgAMP11xOiKNPld+sGczxyBMtXVhZle3nh/Zozh/qUlgKgevWCQXh78/+KFVyfkQEoCQ0FOPXsSf3HjaOffvsNa359PYxj/HiYTb9+/HfXXQAMqfi1a8c1990HEJKHlX7wAQDq66+pQ1YWbRgxAnA6Zw792tjIc3btAnjK86+yslQWrIYGxi87m+9vvgkYqarCuvjSSzxHWhfnzwfEeHsz/hYLINLXFy/X3XfTD/v3E8rp5KTCM+Vet5kz1V60qCjqaDLByD/8kDF56y3K+Pe/AVNSmEjL23PPwby3b+c/qxWwFBICcHVwwCL3wQf8368fzH/bNsoYPhyrnIMDoaULFlBunz7MQ5OJMZkzBwPB5MmqHjExjMdtt7EPVQglTGbPRiA6OCBQfH3pT3d3+iA0FE/ztGm0tayMOn32Gcr8N98oj09srPL0no4uBwVKiP89gGdLixZh5LIFep07k1BKZmbt2ZNQayFQpqQSdLJ06H+GXniBNXxiAgI72elc0OXAn1qCNzU1wf9lsjDpGVuxAmNvYCAy+cABjMl1dcg5R0fWfdu2yMjGRiKiDhw49bOk3tbczOc/c66mvF6+t26NwTY1FfkuM/wWFtKG1q3RCzQNELV7NzqAjw/ys21bdKv0dORjTAwAVx73dNdd6EUSDDo5IY91nXbKzJVTp/K81aspX+5pfOIJZKkMezUaKTMlRRnca2rQV+XRWA8/DD+V++Ti4pSu8sQTCgCeDKDYZtQ82X9CnBzMnLh37lTXnQ2dCmCdCXj93f1/8rqWAIPng+wATyjG4+8PyGnTBiCTkQGI8vdXKfDNZixBDQ0oqCtWMKBdu3Jtjx6EO954I4whLQ1AV1AAOEtN5eXlBeibOhXFJzkZpnL0KK9HHgGoFBURxvDjj+yf++IL3P1OToCWrl0pu3Nnlb4+KwsrV7duXBcRgZdKevOEoJ5TpgCwPv9cnWUXFgbTWbpU7Ynr1AnF3NMTpiZDD15/nRDIbdvwFDk60o+pqYpxSe/Zvn3qAPGGBhZLUxPx3A89RBjCPfcAUN3dAU+NjYCO4mKA0H/+o8IjsrN53ttv49r/6ivAlEyEs3cvIPzbb7Ea/vgjfTVmDM995BGUvmnTAFvy/JiaGvrj3nvxpk2dqg5slXvlRozgmePHc730uv32G9eNHQsDbmoC5PTujZds0SIFmBYuVKmVBw7kt5Ur1ebuuDjGe+5cvG/SerZ+PWO1bh2e4LIyQOCAAfR1x46AuYgIFeI6eLDagL15M/M4MpJnxcTQ9iefBOj5+CBot21jTvbrhwFh4kTqLo93uO026mJbltXK+OXnI4zuvhuPbd++zIu338Z7s2kTbRkwQO1HPB1dDgqUEP/bAE/Sli2s8z17+B4UxNzu2xcrd3ExvHPlShSpigp44N/15F11FTzMfvi5nc41XQ78qSV4U00N8nPkSCX3d+8GZGzciA60ezfrW9MUwDIYkNXyWB4hzi7VfUuRwYDRvq4O/Sg7m9/lGa9+frQvPR2dydGRe2Qeh5oajEwpKVxfVoZ+VlCALtm5swrJlInKevQAFPbtizF68WJke3Mz8jM2FsAbHMzvmzejy0j+tnatMixbLPwvDyyPjlZn8AkBKDxVUhSZqEUInAmn8uydLnOlEGcffnky+qtesXPtXbzUwJ0Q/6NJVk4cAAcHXqWlgAsnJ0LW2rSB0fj7w4T8/WFSR4/ios/MBCS5ubFYjUaVjMLZGQ+ViwuLNSgIsLFgAc/MyyNUUD77mWdQmj/9FBAiMykOHgyQamgA3DU04G0qLaU+8pypdu1Q8JubYTRlZTCAnTsBV1ar2su1aBFeq/p6mII8i+TYMTx/n38OgLNa8dTl5KCsf/ghIQnjx6MwzZ3LhO7SRXmadu+GuWkaXr+XXqLskhKYUp8+9IHcCNzYCCCQYQqzZlHewoU8e8cOQgbT0mCua9bgNR03jnDOWbOwcM2YATNLTQXcRUVRzzlz8Nrddx8Mato0+n/ECABx27aApalTSTaTmEifrl5Ne5YvV2cQOjhQL5n2vaaG8qdOBWxFRgJs5PkwJhPgzmrlnqwslebZyYlxjo/n+cuW4YkcPJjnbN4MOEpKwtr5zjtqo7Scv5WVePr69YOx9+xJuR07Uic5t4xGxkta6W69lf5MTma8zWb2Kn34IW2fP59x6tuX97FjMXZYLJRx771CPPss/dLQwBzPzlbPiotjTKdMYY7KvaVmM8+WVF5+rle2nS52io1l3tx3HzyysBDgNWsW/M9oVHtrs7Lgc6fKovdnyNHxf+uMIzvZ6XzTyRJyTJuGfEhOxoAjjwMqL0eH8vVlrbdpg9deZnnctQsgIqlNG97l2a62dC7OzTwdaRrgzs0N3UMI6lBSopKdlZSgOzY20gYfH3Q+ybvy8vg+bBiArWNH9L/+/ekD6aXLzcVrmZyMTI2KwokQGop+0acPxup//Qujq8GAUfXFF4/PGTBoELqM3E4hDzmvq0MHfOQRgN2J4M6WZKKVgQPRU2RyNpk05cT9dbbjb/ufTLQjwd2f5cN/NbHIOU1I8ic8fX8lqdeFkE2XLcCTh0wKAfNp1QpA4+DAIoyKQhHt0QMlxGDA0iLDCQoLuf7IEYBfx478X1HBovLxARi89x5MKy2N3+68k0XduzcTpn17PGVt2wJcPvmE8LasLECKTBxSX881TU38VlpKvfz9UVyCgwGdv/wC05SMcts2wGDr1oRGjhzJvaNGAaL69IF5+flRF4OB5/TqBSAwGrEuhYRgUU9IADTl5MCAfvyR+stEIk5OKmFMbCwMSU7cAwfY4Pvxx4DZiRPx0hUWAg5jY/lt717q1qmTEK+9BmOaOlUx/muvpQ7Ll+PZFAJg9vPPKv5ehkU++ijMbNQo+mLmTBafBK3vvEN4gouL2oeWkqJCNTt3BsR37oxS6uDAmG7bRh2Tk9W5X6tWUc/iYgD5li0w5sGD8VasX08YxYcfcl15OVa5pia1n7BrVzVHU1Ko49ChANTCQupuu/l50yaAbnIy//XvT93lvoPdu4/3kr33HmP2z38y/6Ojqb/RyBg0NVFvISirpER5Ge+/nzn61ltc36ED7dm5EwHw+ONcm5kJGBw1ijG98076slcv7pUGDiFOn9HMTpc3ffopRiiZgGH3bkK5IiLw4Mn9MBERKjPv36Gff4bv2DNq2slO554sluOzMUplVwjktoxwCglB7lVUoDc0N6t95Z07I2ucnQFKtkfoSGNgQwNlt26t/jvbBCtnS/LAc3mMgSy/qkqBSW9v5GxCgtqz5uSErC8qQnbKfA26jgF37Vqlz+3fjwdTni3r7Y2hq7GR39esUUbiF18k0mbxYnSUbdvUEVfPPANw3rfveP3AaKSvVq/GEDx9Orrazp1cIyOWTqQTDx6XWb8lWDKZ/juLpRAnz5Z5YvZLo/G/yz9bOpskLX/lvr9LJ7Z30CAFhP9MGRfikPXLFuCZTOqohLo6FoqHBwpndjaKdWYmXgovLzxbY8dybdu2xI47OqIkb9sG0HN0BMTFxTGJq6rU4b2+vmza7duX90OH8PiEh8MQCgtZNP7+1KOsTIWKZmZS/muvUaaTE0p7YyPMcd8+GOvSpQCqgwepn78/IZFTp3LP4cOAuKYmrGNffgmwXb6cz5WVMNwePWAkhw/jPYqPB5R17cp+r7o66n3wIGGIw4dTr127YGRdupBspE8flDOjkfYHB6sQDH9/GFNcHIwrOxtLUk0NQGPpUsp88UWYy7vvAl5TU6mPmxvWIAcHvEQZGTyroID+jovDKybbuncvQGvKFNW+8HC8ZDNnwsSuvJL7HnyQ8idOpB0PP8z8aG5Wh3LLg9RlyML8+RwzYLHgRdu5E/CUksJce+ghdd8jjwAsFy/mngULVLlWK+Gk8miMRx8FcKWkAM62bqU9TU3sv3NyAuzGxhL++OCDGAl++IE+lHskBw5k/sbEAJDHjFFe3S1b1KHpuk6ZkyYxL0eMwNhQV6fOKJJMSIbQfP457Wpq4rubG3W1PQpi8mRA76+/Un9PT/77u3ur7HRpk7Q4f/st37dvJ7pg506SRUVEMOeqqzFECfH3gN727f+vvfMOr6rK/v7a3Eu4gUAiXTrSpHcIvVdBHXsbK6OCgqJiGX8zozM66qCggMhYxzaODRQQBAIkEGqA0HuTIigIEQIJIcl5//hkvfsQAwQEEsL+Pk+e3HLuOfvss/fa67vW2ms5gufgcK6hnh4lFOrdadMGQ067dqzv99yDftOlC2uPMehMe/dC+NauZd0vXNh67PwoWtS+PnLkt9/n9JuzQWamzXugUS/+/bvly9P+atVY3376CSP/Tz9hYL/8cgxUuiewRg2O272bPjl0iPclSyLr9uzhOy2/sGYN6/g116D7/OEPNkO27rFPTUUfmDOHtqnHTqOFROy2knnz0A3690enVa9ddo9TairPz1/qoFs3q+ecLrOlP9mJH7qHT8eJ//zngtT8HoL0e66f03WzE+Dc4Fx6Gs8EBZbgiZzYmdu3MxFTU7EiVawI4XnwQZSCO+5gItWpg4evRAk+L1wYj80NNzBxb7uNJAFFi0Ig27blN7feSlbMTz9FiS5UiAn76adcp107LMw9ehD+Fh2NgNi4EeHw889M0IMHadv48TZT5zXXsDfthhvwkmgBzZYtacfAgXjvSpYkXKJkSQbh7bcz+V94gdBPYwin/OADwgi+/po+CQQgZZ99xm9iYhBAlSpBYooWhTwMGgQpGTwYJX7qVAjwgQP00733sudtxw76slUrCGR4OOTkppvwGj79NN6fuXOxapUpg4eqalXI46JFCDj1JmomrrAw6sw0aoRwnDABJXHoUO5tyhSb4KFSJZsd8sorbRH1nTtJBtK8OcQ6OZm2BgJ4XTX+XUNrRWiH1qhZvZpnLoKgzMiwm521cPnChQjkm2+G5PXtS7899BD3Ur8+Y3PVKs7Tvj2LQCiEsH34Yax7cXHctwjnbNqU5/zWW/wmPJy2TJ/Oc09Pp1+7d7d7N8PCGDOjRkGS+/Wjz669lvE7cybjSkNLJ0ygDyZNgpguWAD5PHDAhqUGgxzXrp3NGtqli81U1qWLLRarllKHSxu3327DnUSY71pTqXp1LNvFi/P69xgFli5F1jiS5+Bw7qAheD17nhguGQqhQ82Zw7x77z2MjzNnYmSMjmZON2jAWn/ZZZyrdWvmqHrQFJot82Q4dOjc3I8/tDI1Ff3l8GFbkPzoUYzuGzbw/f796BeqQ9arZ8lmgwboYqmptK9TJ/7Xrs29t2qF0yAzEz1lxQqu/eCD6GC1a7OufvABUU0atjptGv2akmINr9HREOTXXuN67dpZPUcjc/yeNL/HKSmJ57Jsmc3MHRPDZ7GxlsSczAPnLxPh/z6nWnv+/X3nwnOlBOlM8Xs9Z6cqDXE257rQKNAET5VMEStcypfHWrJtGwrzzp0QF/XgpaWh8BYvTqKASZMIORg/HkIzbRpWnE2bmNhJSVhmmjfnuw0b8NxVqgQJioxEIG7Zgqfws89O3D82diwKcvXqEMDDhzlvRgYKUc2aWLyHDKHNycl282yxYpCXqCjuIS4OgrBgAQJl8mTaffQo5yxfHmtb3760pXBhCNPu3ZCBrl0hV1Wq8H73bu5h0SLa06wZIVYTJnCv3brhmbz7bkjtZ58xkWrWRAA+9RTEoUoViG7TphCh9HRI6Oef03+VKiGoBg/mHlu3pk/69EF4jRyJBfCbbxBwkZGQWrX0K2n66ivCCgMBm11z1SruoV07lMqXX+ZZLV0KMR8zBq+mPo/WrRHIH36IYA0Guea337J4HThA/zduDAFKS4M8ZWQg2BcutCEUgQDv33iDa7/5JtcOD6cPjh9nX6EIRodZsxC2MTEcr+GosbEQvQ4dIJgvvMB9aIKblBSeb1wcZC8mxmblzMiAENapAzHWEg5aF+fyyxlbt97Kd2FheONmzuR+gkH65v33IesZGfTHFVcwllJTudb+/YyrWrWYG5q7KT9tRnbIW5Qvz/z/4x95/+GHyICdO0mwNHAgitGddyKbzhYvvWQVIAcHh3MDDbNUo6OWSdBMjo0bs37qujNrFuvfF1+g/xQtatds3f9euvTJr3c+991t385/rWd8/Dj3t307OsmhQ9bQVLQo91q+POSqXDnI3k8/oe/t3o2e0asXv3nkEUjbjz/a/fyVKqGzvfACBK5aNRwGGzYQzaOJ9GrXtvvzkpPRYTWRzX33ESXzr3/Rjhkz0Ck6dbKGXREITXIy22V0T716Wjt1wiAeH2/1im7dTtw7pxk4/Wu3kkGtj5s9hLN7d861YIH1Buq5shdG/z04U7J2LjxnF7MOU2AJXnq6rR8iQjhi0aJYUKZNw7q0eTMT4e23UV5Hj8Z9Hh8PGZk1iwmnyVJ0/1rDhhCqN97gOs2b4xU6dAjrTPXqTL5PPsEK1LAhAqBHDzyFwSCkY9s2frd5M+dJS2OSp6RAJHbtwsLzww+Q0l9+4fz33svET03lOrq3cOBAiFvt2tzjunXcc61aWJhq1UKQqednzBgE0C23cG+NGnGNGjUssWrRAvIwfrzIsGEItSlTmNDXXIN3qEQJFLI776Qf//QnCmlXr06SlDJlLLlISeG8CxfSPs0WmZ7Obx94AEKpdXVEuJ9nn0Wo/fvfeK9CIa4/bZoNP1y2jH6OjuZew8IIGdGCypo9s2tXCF9EBCGSd92F8ExKsumMH3zQZquKiCDkcudO2nT77TbErEEDxopmKO3eHYEZDLLIrVnDPTVtyubqcePo03nzeCZDh3IN9ea1a4enTb1vGnOfmso41cywK1dCvDyPa/TowW+1rt+2bTzbli2tl1YLpc+aBWFdvhxyN2AAY7VLF8ZZ6dIsRHPnWsvru+9yvcREmz3s00957qtXQ8bnz+dYf2KVM0ll7XBp4KOP2BcrwpzS+qIzZ2K0+vhjxlWFCmd/jRdeIOrBJV1xcDh30BA8jeYQsVthwsJY5yIiWJtbtGC9ychgnm/axLwOBu26sHv3ya91rvfd5YRSpawhqHbtE7/TOnWHDqG7VKzI2rd1K59VrYq82r0bGbZ0qc1pUKsWZKpuXT6PiYFI/v3v9EO5cuikR49ivK5TBx1m40Z01IULWVevuoq19m9/wxjftCmG1IgI1mstf6B7GdPT7T66xo0tOVFdx0/SlRD690EGg+gMmrxFzzl3LnqXku6cPFoauqghr2frdVNkl905kbXcyPeLmaD9XpxXgmeM6W2M2WCM2WyMeTqH7+82xuwzxizP+htwrq4dDGI1URw/jmVk504GqWaBLF4cUrdnD8IoNZUJV7o0Fpjjxxmws2dD5FavtgO+ZEmU+ZdfRjnZvp0Y6JIlmbAtWxKCUK8exO7DD/mrWtWSjn372A918CCTfswYBMgvv2Axat3aFhJv1YpJO3cuJOannyAWGh66cycKv5LXHj14LYJXsmpVhMvWrQieL75AYHz8MR6YsDDa+emneBZnzEA4aW2ajAwm2LZt9OH06XzWogW/P34cIrhwIX1fpAjCLzGR32l4R8OGNna8ZEmEVFiYTVqiFsAmTRCsV13FvRw6xOf79/ObXr2waC1ZwnHXX89vPvwQYrdyJYSwcmXav2KFJf5vvAHhi4khNOKuu7jXJk14Bt27c34NMYiKgpwNHEh2q19/5Zwffsh9xMVxrI4NDf+oX5/z9uuHte2JJ2yNuJ49OT4ujvcdO1pBHBnJsx89mvMvXAix131LzZoR6nr//RyXnk67AwGuMW4cIbHqUUxJ4TxTp0LAJk/mPB98QN8XKkT7V63CAzJvnvWgTp7MAtOuHcS3ZUvu6YUXCCHRYqovvohxoFw5O/fOd/azs0VeyiYH9p1oOLWGql9+uU2edPy4nWNng9RUvIPOi+fgcO4QDEIO1IuXlobBdulSu25XqYJukpyMMfGee9AFypZFt9L6cgqNKjmf8F/P/377dnQwEWtkDYUgomlptk5ySgr3GArxeTDIvfTti/G6XTvIYv/+kL1ffuHed+xA3yhWDONw6dKs8atXo188/DC62Y03cu569SDHd96JAXbgQAzf995LGzZswNA+aBBru4ZjduiADvD661b36NXrt+Rm+HAioTQkM7u3LjUVPUJLV/gzaepWmZzKJShy+k49ibnBycJAczp/XiUuuZhw3gieMSYgIm+KSB8RqScitxpj6uVw6Oee5zXJ+nv3XF0/GIT8BIMIF7Ua1akD6Zg0CeW7Th08GKtXo/jq/qGRI1FmhwyBxBUtioeoWjUmYnQ0JOjdd/msVCkIYrNmCIpgELJw5502G9SWLVhs1q/HOv3CC4T3BYN4s4oVwxVvDBmZihenjX364A2rUwehodk4S5SAjCUnc3xcHJNeU9nXrGkTrxQqRJu7d+f8AwbQH1deSdvuuQclSwThoWn2t22ze66KF4fk/vnPEMQ33yQs86232JsYH48A6dcPMjpsGPvOdu6ESCUnQ7o6d6af1q+3GRx179vbbyPkvvsOodWrF7/buJFz3nsvBOv552nXs8/Sz4GALT5/330QryuvhOhqWEgwyO+feQaBox6/Jk0Q1BkZXP/IEQiOCru6dRGImomyQgU2i/fqRVjoNdfYzeczZ0KaR46E2Cq5ErECWcmj1ghs3py/OXPwjopgLVuyBA9anz6Q6GeesR7j2bPx8M6bx+Iybx7327Yt1wmFIMVa/uGDDzjv8OEsOsOHQxaHDeN53X8/Y7lmTfp6/Hg8g5rZtFcvvM3h4Ty/8HDGb+HCLFB/+hPeyNmzGW+7dnE9vff8hLyWTQ5g0CDkS4cOvP/2WxSja6/FCJSRgQHossvO7vxLlthx6ODgcPbwK96xsXatS0vDWN2wIa81g+SePUTi/PgjxkbNFqlz2b/XTteI81m/Mnu5Z32fnfiJ2NJOekyhQjYTu+py4eHoibNn2wzXnocRuVw51uCkJIyvFStinJ43D6P5nj3oOJ99Rv/cfrstUD55Mls/tm5FV4mKgoTu3488PH6c/h82jH7TvXSxsbTrwQfRWVSP8O+rCwbRJ9atQxfU0E311ikJa9TI5izwl0tQQugnVKcjWXrNMylBkFN5hpOd+2T1+RzA+fTgtRKRzZ7nbfU8L01E/ici15zH6/0GWiPs2DEIWFgYguXQIVuHJSKCSaWb+xMS+KxkST4fPRrilJLCwP/6aybF9u1YX/r3xzK1di2K//TpeMlUgZ85E09KyZIiTz6JMExM5Dw33ABBWLmSY5o359w7djAJU1IQBk2b8tm2bXhIatXib98+7mvjRkhJu3Yo+N26ER7w/vso4/PmERal3qOePfGw3HUXn6vH6ehRsj7WqAFxXLsW79eBAxCFihU5vlUrmwb5yBGI2dat7HspX577XraM8MmlSwlLWLUK0nPsGNfr04dY9bAw/po1oz8/+YRjK1Vigdi1i75Zv54+eOcdm9REBHIdF2czdq1YAQHOzKQvCheGJIdCPL+VKyE0jzwCYR06lLYsXIhB4N57Ed7NmyM4Bgyw4aHBIP2qhHH2bBuOsHYt/S9iheC99/L5l1/avWqxsSduRO7Zkz7q2pXPFi2iH2fMQAgrlizBkxkRgadv1iwWzjVraEdKCv2mnsnYWNr29NOQ4S++wCsYCkFoFy/G2qdj9N//Zl9dRAShKhpiEx5O29TL17Ejz3vIEKyR5cphrR09mr6++mrapmjU6DxM7N+PPJdNDqBaNQwb99zD+7lzkZN33IEcK18eGXM2yt+BAyhP+/ef0yY7OFxSyK7Et2+PftOtG/Py5Zd5Hx6OQTs8HKLx1FPoKTfcwBpcrdqJnhxdOxXnohbmmUIJXqVK6HFFilgSqltfNGKmSBEMULpvr25ddKCePdE7NGnMgQOsl4cPI89WrLDJxiIj0eciIyGLCQn00Z13QrTatKGfRNB50tNZi595xq7B0dFEfXXpYsm2P7vpFVfY5G/+/Xjp6eirQ4dy3dTUE7NyvvYa5+jZk+fpzxaZnXRpxszcEDHdaiJif+eHvs9+rpzOeSqPnn7vvHoW55PgVRSRnb73u7I+y47rjTErjTFfGWMq53QiY8z9xpglxpgl+9SffhpoKEEggOUlOZlJVbo0EzMQwHpy+DBeiy5dIG0VK0J0oqJsnbiqVbFC7N/P/+uuwzuSlGQzB6ry3b49ZOjrr/GqHT1KCOXnn0PymjdncpUvD8H67DNbW+yqqyBFqako/du3M9n694eUPP44CnTFiliA+veHjFWrxjmrVGFg6165Ll0gY/v2ccy4cdYaVbUqgqdlS9r06qtY4b77DgvSlVeiWD35JJ66KVNsOYjly+mz2rXxIt55J98Fg/TFjBmce8IEvKWffIKHJxCg/xISOE5JWseOEKGwMIhhYiKhqHXq4C3MyOA+X3mF43/5BWt/aiohDJMn83nTpvTp1Kk2/LBbN/o2Pd1mm1q9mv599FG7yKSl8byefhqy/8QTXC8UQtitW2eFxvbthMQmJkLog0E8lVFREMCMDMj4e++huKpwDwtDOI8ciQf522+5Zloa1+naFVL60EP08bRphFOkpjKW1coXDHKOjRtZhLQQ+eDB9Ft4uM3EpbVwtJTCuHH0d9euNptnt2683rqVBcaf5KZbN+571Sr2EopAWHXDtQr7Tz7BeDFqlE38I0IYSz7EOZNNImcnnxxOxPvvY3RRTJ2KPNu9mzFWsuTZkbzERLL6uQXfweHs4N9LNW2azT0ggmHxz39mrVyyhHUtPp41/osv0L1++gkitWfPiREdWss1L6GJVHbtIpP5sWM2OV8gwFq+bh3bEA4eZF0tXhwnwfz5HLdiBfrP+vVEaWlSlY4dOUe5cqzV4eE4AapXZ408fNhm6qxQAX1z0SLW4Tp1ONdrr6HfpKWhmx0/jh6YkoJRukUL9JOuXTlmyBAiqhYuxICr4Zd+L5oWRQ+FbM6AUMhue/GXS9D13b/n0p81U0neyRAMoneMGWO3xGSvpajnUd3mZMgNecurcgRnggu5FuV1kpVJIlLN87xGIjJDRD7M6SDP8972PK+F53ktypQpc0YXCIVQDgoXtpaVY8ewntStSyp7TWFbqhTHV64M+fv6axuOtno1JCQzkwkUESHy17/iCdm1y24i/v57FN3FiyGUo0ZhfbnqKqwjRYsSb12uHJ6n0qVJcnLwIN6zq6+mbWFhTL5NmxCar7yCV23UKD4rXx7Bs3gxE7tMGTwnixbh6erUCSF7551Y2EIhjm3fnn7ZuhUyVaSITb8fCFjPYXw8nrNg0Bb3btwYYte9OxatunUJbdy6lVDI4cM5du9emzV07FiE3bJldsP1/PkocwcO2IKcrVpBmrt25bjlyyGFQ4YQwhUWhrIWFgYBGjGCvoiPx2LVuTOC9m9/Yy+P7m+bMcPGzHfqxOQvXBhvW2oqfTN1qh0vVatCnG+6ieukp9PfjRtboZSRgUKqsfn790OckpJoT3g47TMGD9vo0RCe7t25V82Suno1GbH69+c6CxbQRlVkw8LwviUk2Gyew4fj6VQh0bgxC0vr1jz7Vasg7MOGQcqTkyGJWqfv4YfxmMyaRR+r1U8LnY8bB8lUQjt9OovMhg08y9mzIX46Vp59FiNB06YsaB06MH51g7zWw7sIkSvZJPL75JODxeuvM/5EbJKq0qVt+PXZWPg9j/GrWfMcHBzOHKr0d+sGEQgGWTvCwljDChcmQdfmzawlS5ci+zdsYF3buNEaaxSex3qbnxAWxrodEWHXsMKFMTCXLYsu8OOPrPVFi2Jo37vXvm7VCgK3fTvrZ6lSEMJatVibd+5Etm3YgG6myeB69qTvVD8JC6NvmjRBb5gzB11g2DD6cP16vhs2DLkYF8dvR4zAAdC4sdVZpk5Fhqam2qR0Y8ZYfUYzd4vYnAM5edz09yK0STNv5oTsdeMefdQmoevc+behnqmpyP9T7dXLLXnL7+TuQnoYzyfB2y0ifqt3pazP/j88z/vF8zy147wrIs3P1cXT07EohUIIlqQkFO8FC/CurFplU9i//bZNNPLLLwyQQoUQQMEg1pR+/Qg30z10b72Fp+vaa3F5JyVhcVah1acPCnNUFJN1/Xo+q1gRxXj9etry44+QofLlmWj16+NNa9KENmzYQLuioiCcn3yC12rkSCZD06Yo8IMGEQrRogUCZ8MGBEXLlnjhPv0UclCxot0Q7Xl49j76iP565x3IUKNG3LNmt7z3Xu6tTRvIa3Iy5CQzk7YHAng1Bw+2CTr69kXh/+YbBH1yMhaodevY79WvH/23bBn30a0b1/v+ezxbtWrhUXzwQfqkUSPIQ8uWhCyIIERTUrhuRATEqXdvm9ijUSPa3bChFSCzZ3Nv06ZBMjWbl4Yhaux5x4484+HDuX6HDhyflGRLBzz0EOT7sccIKdOi8d268byaNrWvVTmNjbWWwa1bId2pqXaz84IFvB86FNL/zDOcR4TxOnQo97FkCefp3p32LVkCaS1UiOuNHs09zZqFYeKFF+ijYJBn16oVf506cc327W2a6FCIe1LvZoMGGELuv5/3W7YgaGvUsPcdFkY7Gjfm88OHOTafevDyVDY5nBwPPEBUgwhj6OefMRgcOICidDZJe7ZvZ/y6/XgODmcHfxFrVaA1qUpEBOvwsGGsC4cOobMcPcp8bdwYI2aFCr9VbDXZXH5BWhp6ka7XWiN40yZkkXr3IiIwOq1ejZ6hRc91j36rVjgSWrTA+N6tG2t5sWLoH/Xq8dv9+7nmpk3oNrt3Y+QPBNAPUlLQWf7yF5KYpaYSUTVkCG24+mqeh265iIhA1oWH054hQ9hP37ixdQAEgzajpiI62hpzW7ZEH1FCFxuLfhAXZ/cbngp+kqiExu8R9Id+ak4Cf5ZPP04Xknmx4UJ7GM8nwUsQkVrGmOrGmDARuUVEJvoPMMZc7nt7tYisO1cXV7f03r0ovYUKQXhq12ZS1a+P56xCBZTU7t3xYt12G5PqnXcIUVy4EIE1Zw6k45138MaVKoV1uWVLQhG3b8dTFQxCfL74AkXl+eeZVPHx7OP67jsmflQUHqtAgMlZsiQTuFgxPCXjxzMxZs9GOe/XDwLw6aco2MWKYWlq2BAhMmcOpPGJJxAkJUtizdm8GUJUpgwhi19+ybkzMxFc06dTl6pQIYRX8+ZY2158kcn15pu08Z//JHFJZiZW9qNHbUKTp59GmDz+OOTu2muJv9+wAUGRkgKxu+oqBM3VVzOh1TI2ejTEScsdZGbifSpWDMHYoQP9NnIk50pN5R7//Gfu6Y03IIUTJyI058+HmC1bxgIyYQIWqlq1bG281avx1A4ezHgJhSClDz1EH86Zgwfxhx+4/1DIeiJvvBEiGRWFB/DGG/lcM1nNnEm/rljBubWOTXIygrJnT7y7b74JkYyL49lGREDmhg6FzP/jHyilau3SYqYqFDt1op1r19rSES1aWCGq8fX16on85z920Ro0iPfqLdSN1hrWERFhBWtyMuOqZUv6PCUFA4PuU/3mG4hl3boYH+rU4Z5q1OD3WssvnyFPZZPDqXHLLYz54sVRnPbuxfBWooStx3mm4ZrLljGf/aVzHBzyErnI5PuYMWZtVpj4TGNMVd93Gb4MvxOz//Zcwu918MtzXUuTk1kn77oLA43noW9ERnLM+vWsz5s28bvIyPypqOeUzVO9eJog5sorWe8OH0ZfioxEtngea3WtWrbObng4OtrGjeiA8+ezvletilH02285/+bNfFejBn/h4TZpy6ZN6H7ly7Ne3303utHQoUR1ZWTQl82b27IIffpwjt69kaUvvYSelJZGe3Rt19DIjAxby9CYE0lIIGC3h3TrRvvj4iB+/rBNhSZ8adPGll/ITbIU/Z+9gHpB3E93Ice+8bKnFzqXJzemr4i8LiIBEXnf87wXjTF/F5ElnudNNMa8JChP6SJyQEQGep63/lTnbNGihbdE88yfBlpPrHhxBknZspCy4sXp5Bo1IDmrV/NfywfUr28zCCYlocgbAzHbvh1yd+QIE7VzZ367cSMT9YorCHH76iuEwNGjEIe5cyF0hQpx7PLlCMZq1XDv33YbyvpPP6FMb9qEZ6VQIRTqefMgSO++i5CpUAGid+QIHrapUyEghQphZbnrLgTBtm1MuiFDCA+46SZIYp06kKa9e0kkMmOGyP/9H8LqnXew6GzbhpD48EMsUi1b2r1dd9+Nx/Cbb3D3P/+8TY3ftCkkbsIECFDfvli76tShTcOHIzBnzoQEVq/O53v22OQmYWHcw/PP44X7059IBLJ7N6GZ06ZBXCdPpq0rViDAdG/km2/amjRr1tAmjZWvVw9h+dZbvJ44kXPrHrfp0yFhyck2IUx6OgL1qae4xxkzLIH85z/xgt5/P+ds3Nh6z7p25V4nTUJYrlhhwyzS0/nt8eMIxK5dIVotWrAgqMAuXZr/ycn8Ztw4ntmSJXZPQ5cuLBotW1qCpiUY2rVDGGdkMPaGDrUkMDWV56B77SIiuM7AgRDMe+5hfEVEQAB37GD8PfQQfRMIYLh47z2eXSgEmW3ZkgWvVy+8srmQFUs9z2uRq4l9DnA+ZJPImcknh1MjORlDxqJFvG/UCPk6dy6E70xRrBjREXff/dsEDw4Op8K5lk9ZmXw3ikgPYQ9wgojc6nneWt8xXURkked5R40xA0Wks+d5N2d9l+x53hmZOX6PbNI9Uq+/jgFU099XqQKZePNNDC8JCegNd97JvJ07F/1GCcvFqqxrXVtj+AsPxxAdFmaNRsWKQcbmz7dlh+rVQ6+rXp31fdky5JrnYRAuXpx+Sk21fTRkCDU8IyNxOkRGss4uXcoxw4bZLR0rVmBg1+0oYWG2Dm8waAlXWho63IIFNheBCHqOrv8inCc+PudyCKqziNj9cipH9XMN4dQkg6HQifv09LjZs0+skef/PnsphPNFiHJ77nN93LnGqWTTed2D53neFM/zanueV8PzvBezPvur53kTs14/43lefc/zGnue1yU3CtSZICqKyaFen6pVret75Uo8bF99BUnKzITw1a5t99rdey/kRISJduQIynbbtoRQliuHB+2558gUmZkJSfn3v1F2NTHAmjUIwthYlOOkJMjJDTeg3P/wAx6/PXtQjEMhG6JYogTenGuuwfNWsybnCgvjvC1aQHAqV4YUbtsGMerenXutWhWr2tSpkMqXXybUMDISElamjPVerVsHYfv4Y/ZW/eEPCCxV1pOTIRZvvkm74+IgIX/9K0S1Vi2I2rhxkMdAADLcogVe0o0bmQS33w6BCAvDm6Q17N59lzCIZs1o4xdfQDKCQfbfFS4MIdJwTw0VeOopSEz//tyLZq3SpDStW0NUo6MhH0qemzThOE1Oo2mAe/bk3DfdZC2W33+P0FbStGoV7fz737neoEG2rIGW5xDBu5iaCkns2ZPvFenpCPQffuA6s2bZkJdAgP//+Y/8/9p9I0ciGAcMYIxFR1thPWoUJHb0aJ7hSy/Z/YezZ7M4fPstzyk+3grr6dNtmOyoUXah2bmThSo62lo227Xj/I88wjNOSLDFWdu04Zlu2wZh1nC4/Lqg57Vscjg91KigisDKlYzV+vXPbm/nkSPIapd0xSEf4LSZfD3Pm+153tGstwuFUPI8Q3w8RhYlF9ddZ8s0tW6NETcqirn5yiscX7QoOkzJkhffnCteHJ1DxCZ6yszkLzwcXaNCBdbgUAhdKy6O32VkkNwuIoK/ihXRD7ZsYZ0+fBh9a9AgjKP792N4qluXNbRRI5wJkyZxro4dMcy2bMka/O67vG7WzNYbXLkSXTc2ljarTtO9O79/5hnO1bq1DXX3h1vGxlov7fTpNhmK31unhuZRoyCGSUknetoCAUsWNcxTv9MkKyJWpvuTtWib/ThZyGZO2TjPBLn1Dp7r4y408jrJynlFejrWllKleL9jBwruvn1Myho1sGocOGAHfEwMk9fzOOa66yB8MTFMvnbtmEzGYJVZtw4v2KOPQr6KFmX/UsmSTOrevSE4R48ymUWY5Dt3Evp5++1MuldewQ3foAHn0axOpUvzPhTimpdfzr69QYOItR40CHK0ejXE5fhxiN+bb6Lk33gjXq+9e/n+iSdog4YP/vILE2/dOgjahg1W+f/2WyZ98+YQlZIlIb2tW0PYrrwSz1owyH3s3o3yr+UCwsP5vnlzjn/gAYTTAw/wm6ZNEQLffEMfrFqFd0/EJiNJTITo9uiB0HvzTayDPXogPPx7clT4dOrEb0Rsyn7dIF66NM8qPJxzaPbUkSO5ZxU8oRD3oSl+v/kGD+TChZznySc59rnnIEKapTIsDCGv6YYfeYSFbvp02rZmDWR7yhQ+f/xx9oAqIe/UyZ5r4UKbHGXsWMbu6tW0s0kTFo5OnbiXJk24x8aNOU9mpiWnKSn2/jdvPrH8QlgYpFe9nenpWBTvv5/ztmrF+cLCIK6JibTv4YcZ6507s8g0bGjDQPxJa9Sr6+Bwtpg1y+671XIxWkfrTIsk//orhqO8SMnu4OBDbjP5Ku4TEZ9klVBW5t6FxphrT/ajc5XhV7cF9OzJutWwIXrOP/5hCUW5coQtRkfbteTwYfSCn34660ufdxQtmvPnR47YPfqpqehKoZDNXXDgAMbZmjVZf/WYLVu433Ll6JuGDTGC/vorOufWrazdDRuyty4YhKwlJWGoT0+HJH75JRnYMzJIZBMTwzo8cCBk8P/+j3MOHswxjzxidQERyKFuDYmKQscJBDDOtmvHb0aPtnpCWpotcp6RwXOMi+O7zp35n5TE7wcNQg8cOpT77tLFZuVUr16HDrbWXno63l+9ln//nSZrUQ/xyWSzf29fdmJ4pjiThC3n8rgLjQJN8EIhrEfJyUyMQ4es1yk93aambdrUJpIoWhSF/5dfIBNPPw0p2rmTGOyFCwn13L+fyX3wIJP0sssgSG3bQswKFYKQhYUxqJOSIIpxcWR61GQeU6fym7VrIWDvvUe4X9euuOqjowlLmj6da8yZwwB/7z2UHRHuKxDA+5iZCUn79lvCBUUQJOXKIZgGDYL0Vc5KMXHnnVhoVqzAG9WlC22cMoVJfugQHhkR3oeHIwDefptz/OMfHDNoEErXrl2EJSxfznFTphBu8L//MfjfeQdrUqVKeAmTk/G8ieBNnTgRYvrddxC65cshfiI2CcpHH3G/t92GYPzDH+iX/fvxik6YwN8rr0BWMjLoZ7VQRUTQrwsW0KZrr7WhoSpk0tNtnT4RyHxYmE1GEgohNF94wYYhxMdDuLp1s8RTS2csXYowvftuPg8EIP5aKmLMGOvFS062++dCIf4GDWK83Xor/aYkesECrtexI4K3a1e8hVpIPiWFe69RA4FYrx5CUoWj7t8cPpy+njWLdqgXsUMH3ut+vQ4dIK8REZA8TRW9Zg3j69VXifvXReYizqLpkI/wzTe2TMfOnTbrsRYezi1SU/HGf/hh/rO2OjjkBGPMHSLSQkSG+z6umhWWdZuIvG6MqZHTb89lhl9/+vyoKNaysWNZEzZtYt3+4QfWNJX/HTrY35+pMeZCwV903d9FWkLBD/V4rV7N/0qVMJouXMh5ypWD/GkitYcfRm87cADd8tZb6cOOHTHU79pFLoGePcmFsHSpzTr68cecY/ly1tmlS1nPhw6l319+GZ3kp59sP//6KxFce/fy3UsvEWmj4ZKBAHpVMGgN8Krj9O1LdNDatURKzJnD9TXkc9o0rjtgAOv//Pk4MLQUk3r4tPRBbCy6jJbVaNSI+/STIP+YUsPxggW/lc0aXaWk8UyyeJ4MuSVj5/q4C4kCTfCSkxn8hw/bWmHp6RCw/v3xzk2ZwiT75BMUZGXhUVFMlv37SYISHm5T4Ct5O3aMQfzss1hx9uzBYqL12DQD05Qpdg9YWhoTpnJlflO+PARv7lxCRgcOtPXx/vMfiN2aNZznmmsgcZrZs2ZNBE7x4rSpcmUIZ7Vqtj6akqMaNQi3bNcOIfb11yj1a9cyiQ8coG+OH8dyNHEi7Zo+3XplVq1CwEREQH7KlEHxP3QIz1jTppDSDRsQeGlptPfeeyF2N91E+8aN4x7KlLH7s8LC6Iu5cyGDgQC/++MfrXeqY0deR0VxjVKluE4ggEASIetmyZJkg9JNwh060IfR0ZbEjR0LOYyLY3Fq29aStDvuILzxrbcYQ3PmYABYuxYCpLUKU1NtVlMRW14iPd2mAk5NRSA1bw7Rfu89BHbr1px/8WJ+26gRY2/lStrUuTN9K8I5IiLwmP73vyTAiYriXtq04ZiFCxG8KjB79LChuH368L9WLc65bh19MXUqi0VKik253LatLW7+66/040svQZh1D+CSJbaI6vLl9KNmnX3/fcbTjz/SLjVCODj8XowbxxgVQbaULIlx5kz1Vs/DA7958+kzwjk4nCecNpOviIgxpruIPCsiV/uy+ornebuz/m8VkVgRaXo+G6sIBlmbQiH0p9698VjVqsV698QTGF1WrEBHWrjQ/tZfAy+/4uBBnALZUbYs96PeqZQUq4eUL48ukpREdNiPP0LqDh8mhPX++9HNduxAd2jShHVz0yYigDIyIEFPPsl5LruM4zMzbaH1Tz5hre/WDf1u82bW4rAwdIJgEN1r3TocEx99hIxcvtySv+nTOV/HjpCo6GgM9VokXTN01qvHmt6xI+dX0tatG9fQTJoJCehEuj9TQzrVM6fjpGFDm1chJxLkD7f0Z9jU70Ssh0z7308MczpffgyXzAsUaIJXvjyhgxUqoLRqqYRChSB+O3ZA0EqVwrKi4Xt9+zKZevXifZEifJeaitJrDJ6PQADitGgRVmX1lnz+Ocp2hQoQjgoVGHB/+APnuO8+SMyRIwiDF19Ewf/sMzxXhQoxwS67DGG5Zg3tTU2FiIkgWI4eJdlF9+4Q1v37+c299yJoQyGEw+LFkM8HH0Tpr17dZnZs3hziNXgwpCA+nolcvjxx3pdfjoIfE4PHbOpUfrtlC22JjbXhmhs2cM0nnsAytGsX/2fPpg0tW9L/DRsiRPbt45rh4Xy3dy8ewe3bET5lymBpX7wYj+RrryGwRCAmt92G0OjSBQI2bhx90asXwldLRERFsW9n3jyr0DVoYDNDPfwwhE/DKJ95huvccw/3pJ7LQYOwQKlHUIQ+XbSIDeeJiQhvDTPt0MGGr3TsaLOLalkH7f/UVO4jIoK+69WL34wciedixAjaFQggjHWztcbCT5/O2Bs9mmc1aRK/mTcPb/X27fTRY49B0ocM4TmFhUH61YKnG7hbtGCujBjBc/rqK8bliy9CfFWAJiayeL33Hv1Zrx79rN5knYMODucK//oXSogICtKUKYztqKiTh1rlhLQ05Mdf/+pInkOeIDeZfJuKyL8Fcvez7/PLjDFFsl6XFpF2IrJWzjP8pRJUeV62jPeaKGTcOPSVTZuIPNIQx4sF6ekYrLPj558xpGtN5YgIdLOyZdEjo6K4/2PHIHYlSqATPfggOlrVquz1nzcPvenIEdbsIUOITKhRg3WzQgV+r1EK+/ahE33zDev9okXodD/9hK7wv/+hs6l++cADhLAPGoRO2L27JWArV2JYTkiwnrB69ayRODXVZg3v2tWWfdKEOjNn2mQz6elECTVvzm9jY5Gp/rGh2b+V2Pk9bv5kLf7i57Nnn/gs/DX5sidfORnOJlyyoJLB85pF83zgTDJBJScTdjllCkTF83ChV6zIZBs/Ho/Wnj14OH74AeV6+3Ym9K+/otBrZsq//hXvWsOGTLIZM1Dc16whmccbb9iQvLlzEQadOuHGj4nh/8cfk/lx3TquV7063jTdE6gTrEIF2tegATHbV1yBdal0aZTohg1RusuUgYDu3AlZeftt7qdpUwZ42bKQkWHDIJ6lS0NQ+/enrd98A/Fo0YKY7rJlEVyHDiGskpK4t4wMm7Bm9Wom8+LFEBollcuWWRKiddHefdeWHOjf37r9V6wgxOODD+jLzZtt3RgRztW4MURv2DDuPzMTgaKhmtHRNr1vWpr10vbpgzASof+DQUvI/Hv2unbFktWmDYrjY4/RJ0lJCL+4OM7dtSvPes0aCP+MGXg5r7uO41UIzpjBeb/+2nopZ85kjA0dCgFLTeU6VatCQNPSGA9ankDE7iWcNYv2tm5tQyHT0hhfSnSjo23mS+3bHj34bdu2EMrnn6c/tc9CIVt3b8YM+zy0PWFhkMiaNXnmbdtCRjMzUa41VGLcOMjxyJEc++67jLsff2S8HzyId3Ps2NPP1QudRfN8wWXRvDDYvh2jnHoIihVDaTpTVKqEElGz5jltnkMBw/mQT7nI5BsjIg1FZE/WT3Z4nne1MaatQPwyBSP9657nvXe66/3eLJqzZ9uSOt27s+b06QOZ0wzKGzeyzi9dypqjGSZ1a8fFirJl0Qmz4/LLucdixTCw+1GiBDJqyRKMTzt3Qt4yM1lPJ09GH9i9m3X5l18gjwMHsha/+y7fDRiAflW1KhEy//sfulMwyNrbrBmetIEDMU4PH47xtUMHW1NXdbjwcJsEZfp0nArGWF2mRQvaq3qFhnYmJ1uv2ZQp6AuaLVyPyymzpj/zphIurfvboYPVQ/R32TNuamhmdq+eZuE8UxJ3Mg/i2ZwvvyDPsmjmNUIhBFCRIgiXK69Eef31Vz7r0QMF/OefIVHp6Vhj0tMhUIMH813NmngCd+6EHAaDnKtnT5tqfvFiSMxll9nsSY0bMzH+9z9c7u3bW2/Y5s2Qu4gIzr9hAxP/uefwfjz+OBaZV17Bo3jttZDTwoWxCPXti0crMhIS2K8fE/fIEcopiDCh4+OJ8b75ZsjYTz9BliIiCK/o25c2/uUvkNtBgyCxEyZAcNq2RRB9+60NL23ZEtL1pz8hxO6/H8HTtStkZN067v3ZZ7mWMTyHiAiu16cP3ycm0tebN2PJGjaM56MF1du3Z5GoVYtnUbQoC4sSlYULbRhjYiLt/Oorm3ylXTs8XJMn26Qymh44LY2+UeHieRCk5GRIslqN9BkHAhDWUIhxU6sW7dAwBA0H7dKFpDci1nsXCvEs09M59z//SR/27MlzVXI3bRp/ycnsyWvblvubPx/rW6tWeOCeeor7b98eK5uGnGpCFBVSERGMkYQEFtwmTVgQpk+3YRsa2tqyJc+vXz+MFs2b02YRBP7w4Yz5YJA2LFoE2Q2FOG8gwFjYtYtnXKECvy1UoCWMQ16hWjUW/htv5P2RI4z/M/UY79nDObIrZw4O5xu5yOTb3fO8cp7nNcn6uzrr8/me5zXMyvDbMDfk7vdAFeM2bTCI6j50EeR+06boJT//zDr6xhsY+fylSC5WcqfRLUru/OtZqVLokikp3P9ll6HrqLHo0CH0kt270VW2b4cItmzJFpgVKyDEnodetns3RtFatdDD4uPRBb7/nv6+7TaiZS6/nDU9Lo7zat8GgxA5Edb36dP5fvhwGyml3jfNFj56NPKvXz90mdKlIXmPPw5xff11/sfHW+9c376QRjWQa0Fz9fJlJ3Qi1kOXfS+dGgz03NlJnMhvyd3ZeuhOFrZ5PhOk5LVn8CLkq7lHaiqDp1w5PF01azKQBg5Ead661e5v0iLlDz1EaN7s2UyG9u1RyIsV47hDhyAfWvOuSBEmXFQUe+YGDya5RXw8E/fwYYjJihVYWkqWxMJ1001YQrp2ZWLXrg1JVK/Y7Nl4V7QG1JYtNlnLqFH8pmtXSOJ339msn716oZyrhSUjg8EbG8tnl18OUVm/nok8aRLCuFEjhNHzz2MFqlIF69O8eRCNL7/k+mPH4tafOpX+GDqU9q1bR9s++ghrk26ULVHCFhOfNs2GHypatKB9ERG2Vtzy5XjUli7l/aBBCB4tsN2+PcJNs0P27Gnr1gWD1qsWCkEcv/8eMhIM2jpzb78NMV2wAIHbsqUt+Fm7NvepG8VFfputc9iwEy1VWm5Aj42Ls5ayUIj2xcaSXUzJplq3Fi48MbNlKISF7u23UWQjIgj1SEy0NXAiIqxFNRTivG+9xQLTti3XUJK7fDnGgwULOH9aGueYNcsuWB070jfqoW3QwAo87e8mTWzCF03+8vXXXGfxYhawHj0YhxqacyZhcw4OZ4JgkIyYTz+NIWzxYuRrnTrI6NyEXmoSg3/+kz9XH8/BwUIV4w4dWB/at2cdUQPhAw/gaSpenHVz4kTm4Pr1F6c3xA+NjBGxSVPKlsXTdvy4rcVZpAgEUAnLsWMYmn79FSLWty+GpCuvRO9MScEJcM01rNNNm7J2GoMh/i9/IVps4EB0ucqV0SMPH6Z/PQ8jfosWrPVaS/iNN3gGN92EwT0xkeezZAlt79SJNV+fY3o67QkEbOmLNm3QOV95BZ3rwQfRT9q3515jY3kdH897jVbr0IG2qsHdj/R0rj9zJvqfkqnUVK7ZufNv99QFg9bDp5nNf4+n7XQk7nyRu7z2DBZo+7panX76CevFsmVMynnzIB47dmAt0exOGzYQcvbggyj8337LRK5alWyThw8TRqlha9u2MXADAVzknTvzQOPjIUGHDmGR+eUXiNP33zMJ9+/nXH/6E22rXh1viRap/vJLBEuXLhCy1q2Z1Nu2MWjq1EGI/v3vtLFyZchmdDSCIyPD1lZLTCRRSVoaxOu66wipuPZaYrv/9jcs30oIY2KsJ69CBYhJQgJ74fr25b6OHEEIxcfj9ZoyhXa9+SaEZPFia9Xq3h0hMHQowmT/fsjhsmW27+bN434nToRoaIZLEe79ySfZZPzoo5BAJXfffntidsy336b/p02zm4bT0/GGaVmC9u3t3rFFixCuY8dy3fBwCFHv3girrl05d2oqgktLJrz8Mm3QRCNa/2XAAEs2FWrR0sxPPXpA/DSL6syZ3MuYMVyjVy+u8f77VlCnpCCkO3RgTGvmzTZtaEd6Ol7Rhg0Zv4mJ9HenTgjnYcPw+vXvD9les8aWjxg4kPfz5tkyD4MH2/atXHninNLELMOHs2fy5Zd5pomJjNu2bXmu6imtVu08TGwHBx9efhlyJsL+lg0bztywMHIk8jSvLa4ODvkJfsVYU9y3aYNB89FHWZPuvBODcHw8eQFKlYIIXWS7f34Df7p+Xc/27j1xX2GhQvRLRgb6zooVGN/37+f+y5a12xXS0iByuod+5UrkzaRJ6JTly7OG9uyJPvDrrxifNCtpYiJ6ikbShIWRU2HrVjxxq1fb2sPvvMM1Ro+2ETYiNhP4jBkY0RMSbKRXmzboBYsW8ZecbJPlxcVZnWfWLHTd7t3RVzX5SbdunGfKFBuaq+GYSvzUA6efawRVTvXuQiGr84hY0ne2ZOlMf/d714L8UDqhwBI8VZ7XrcOismMHE6FhQ6waixYxUdLSbAmBIkWYiBMm4KHr35/fNG7MoI2MxNNXqBATpV493Ob/+hcTecECrlWtGu56TfTRvDmFqUuUgFw9/zyToUIFXOpFitDOrVsRDsOGIQhWrLA1z3Rf3pEjkMmffoL41K6NJadQISbjv/5l66BNmgTZatSISawZMePiUOz/9Ccs4I0a0cbp0+mzfv0QQhkZkMpXXkEYjRxJm0IhCGKRIpDD777jvFu2QBZ+/ZV7eeEFBvfYsQitzExc/wsX2oLfXbva5zVypI0r//pr2hQVhbVq+nSIbI8eCIvu3SGrXbpYQXP//TwXFSaxsQikAwdsFk1N9T9/Pn0zdy7eL609N3YsAkxTA6ekQGY0s6UIfd26NYRWBVRKCgR66lRrsUpPp7/Uk6BkU8Tu29OwzkaNrPcgLo7nunYtxoarruIeRegHXSBmzeIepk/n/bffcl8a/qClFoJBG0qxaBEe3I4dreetaVPuV0NRFcGgbVe3bnZ/4/Dh9tlMmIB1smxZ3q9YcSIp1ILnDg7nE888g7zT8ChNdKCFinODl15CNrmkKw4OFhppsnQpZXBmzGA9f+45vOfvv898O3aMObd+PR4tJUUFCdm3HBQtiufNGEjNkSOQwMhI5MjRo3g3f/6ZfmvQgC0cqiOkpaHHNGhgDcjffstWoJYtiSh7/nm8aU8+if7417+id2kmzzffJFKpRg2eyw03sKbXq4cOMHq0rWmnesfq1aztLVuiL2gCFC2j0KmT9a517YrhuVMn9CjdWqPwlzmIjkanGDyY/vCHY4pYw7uSu/j439az89e700QtIja8M6cSCmeD7L/zy/1zlYkzr73YBZbgBYMo4fv3M9mKFcPysnw5npHduxnAmrgjKQkhpZmSjh/nmK+/5jeRkXjk5s2DaKxciWeveXO8W1Wq4IlbvRqPXaVKKL6FCiEIe/WCPN5wA0pIeDjEIzLS1iK54goU6f37aVdkJEQpI4PzHDtGgo4mTbjejz9irW7XDoI6fjxCZMoUrterFx7APXsgC5Urc65GjbjGPffg8Vu7lmN69OCeBw1CIEVHc92ICH43dCgCQcQKtqgoBFB4OIS4fn0m8S23IIgmToQsBwL0VefOXOPIERK8pKYiqG65BQVtxgxIeN++LBzJydzHddch1FJTifUeORIi+cYbfJaUhAdPCU2vXnYP35QpKIB+5U09VSKW/GqqYfVe6R46Y2yylvh4G6pYr57df3fttZDlHj0QpImJ9nwarhoK2VDR6dMJtW3RwpZ6UKhnU4T+0t9rexo2tORQC7qHQsTS655BzVrVq9eJse5aOmPePOuV9P9GSa5aa7Uv0tNtRq5x4/j+9dcR+Pfcw3EzZvC57lUVYaw5OFwI9OvH2O7RA/l96BDy70xq5XXsyJx1e/IcHE5E8+YYHJcvZ11+7z3rmfr+e3QDzyuYxE6RmXmiITQ5mc88DxImgu6XnIxxKS0NXal3b96np6NPhIej7zVoYJPTNWyILlSsGMeGQqyff/sbW4w+/xxy+MQTNnrmyy/Rtz76iMil8eNtjb6wMJwZ6jHT/fpvvomBX/fbP/UU8k4Twq1bZ4uXq1Fat4U89BBG+rg4u69OxCZZWbgQ/ah6dVvyQHULrQ+snq2ICFvPzk/iZs5kLGUvmZCTRyx7ps2ckBNJy07gtP6xP2OnhoZezCiwBE/rdfXrh0dtzx4IWfXqELiSJZloERE82MOHEVaarjYyEqKmCTIaNGCSduoECSxdmg2y99wD2du9m2NbtoQYRUcz0DduxMv3xRe0QV38Bw9CgEqVItyxcmUm+o4deMLS0xECvXrZWmbGMAGnTIHc9e/PtadMwQt1+eVcr0sXW8z3qqsgH3XqQL5GjMDL0qMHx61aBVHRjIn33kvf9OmDQKhfn0E/YQL9qllDGzdGgCQlIYCqVqW9kZFY+bQ+jKbi16Lb//sf2TpjYxGEc+fSr3fdRZsTErhOZCShHyNHQuIyMvi91mmpU4cMnCkpkMiRI20ZA60/N2MG/T5vnk3vO3Mmf+3b481atgzL5NKlfK6evPh4yFX//lgpIyIsaerYEe/Z6tWW/OjevwULMCwosdEQBr+QEqFf7r2XMdq5M89ZLaWBgM1G+u9/Q86UYKnHc9QorqObwHXzsyb98W901r2onTvzXFu1soS1c+ffHj9okA1b7twZi+LDD7NoxcUxDnv35rPWrVlctIRCoUKcf84cfr9v3zmc1A4Op0EohPHknnt4v2MHn+WW5Hke4U3XX08UhYPDpQx/aQQRW4RbPTE7d9rs1d99Z/elidi1qaAhNTVnEqtG0V27eH38OOvpzp04CvbvRxeaOZPfr1mDPvjTT+g7q1Yhq1QPLVOGbR/x8egw69Zx7ptuQq4VL47+FwhQeqtrV3S+lBS7haVnTxwI77xjcxbUqYPuM3Mm+smLL2LU1Zq81aoR+pmczLUffph2JSXZHACBADqubmGJibF6Ve/eJPbLHnqp21T8n6t+MmKE1UOWLIFUalZOf7/7s3IqdK9ebohc9rp6fu+j3qcfF3s9vQJL8FR5FcEblZbGRNq3j+8GDIAQRUdDmlJSCDns1w/rSYkSEBRjIBJHjzJhZ84kVDIUgpQdOcJgv/pqyFTfvpC9zEwmXEoKx69cyXfG2AKRQ4ZATEqXJhSyWTOIVloa7ytXtpkRN28mDO7TT5mAf/4zrvdevSi9MH48E6N2bQRwRoaNg05MZAI1bMiew3LlIKIHD7JB+tZbGdwZGViHPv8cErhwIcRn7lzuJSaGAe959NkDD6DwZ2ZC+MLDbehe69a22HV4ONeNjCSMsmZN2vPEEwg5EQTNVVfZWnnt2pG0JiODDKarV7OA1K+PkOjbFy/RgAEQPN3UrSQ7Pp5+69vX7hHs1csmPlEv3yOPoPwNHsx3SobUEyhi0/eqlUrT/g8dyjFqQdI9n+PG0edaV8+fHliPbd8eoZuWZgWehiB06oRg1oLyIicKXBHG4ty5Nszj9ddt+0aM4J41I2dsrA0ZDYXsZutXX2URuPFGvKfJybZ+Xvv2jHXN4vXCC7SnUycsfsEgxHvECBsqMmoUi8cvv9hQOV30HBwuJN5/nxTggQDj8UxLKMyZgwxyIcYOlyr8mQx1ze3RA6OnhvJFR6NH3HwzOlMohLFXvVcFEcbk/Lm/fl54OMcVLmyjs0RYk8PDbe3OnTvx8I0bh5565Ajy6sMP0R927aKfL78c/bVyZXSuKlXQNXbtYv3dsoXr/fora/3q1VZffeop1vilSyGZa9agpwUC6AtLl/LbevV43t99h07nJ0Pp6egFV19tdeuYGJvBs3NnrjtjBjqt6jqqNyly2msXF2eTuoVCtFfrOCvUw5acbEM6dXyebq+bfped7GUnjxop5W9rXu+h+70osARPsX49D+3oUSbOjz8y4TZsYA9eRAQDsndvCMiRI1hKNLyndGk8NosXQ6B27YLgDB2K9+fnnwmdTElBYf7Pf0hw8u9/EzJYoQLXa9AAcpaejuemeXOU6hUrIHNaD6VWLZu0RS3IbdrgGbn+eiw1wSBWlzJlEBZlyyJAmjXDmrFzJxOxTx9rRStaFI/hTz8hdLp04Tcff8w9PfYY956eDtHKzCQ8dNs2hMZ//oMVKi2Nvrz9dsINv/2WPVklS0K+7riD0MtFi2x9vYwMSHKrVvSxliKYO9d6upYt45logfmICM5frx7JDxo0gFD07o0XLxgkbHP5cvrmmmus92rcOBaerl1ZlF580dZq0c3impglMRFyu2gR++feeIPfKhGMibFCZdo0CNaQIdZbpht//clUHn2UeHkRSE9qqo0nb9rU7sNr1sx65EROTEWt3sKICM75xhssCFrUXomfiK05KMKxjz1mC7Jr3H2nTlxXSWIgQDuvv54wDy1jMWSI3X+4dCl7+l56iQXjm28QsopGjVgYNm6kfVp4/YorrHDW2n4ODhcat9yCQtOnz9n9/scfmceO5DlcivAruKrkzpoFAUhIYO2fMQNCN348a3WpUug/F1uB89wiLCzn5DG6JUFx9CjHafHzrVvRkfbsQSb5jdKFC3Ns1aqcJzWV/qtWDUI3fDjHHTyIzlisGDpOvXroIevX2+R/Dz1EGwsVYh1u3pw1etkyDPkffsh5xo1DN4uP55iBA9ElO3Sw11yyxGbJ9OcLGDUK58G4cejFWnNYt5bUrYtzoEOHE0mVn+xl94p17XqiQd1P7vx6VXYPm3985rQ3Tw0Upyqv4C/dkP27i5nciRRwgqduVw3PCQ/Hi7VvH2FlCxagAL/1Fov5oUMosNu2MUnWrYM8iRDCWbUq59ywAaL166+QxO3bOZfnMbg1LDElhexu27dzbJs2TIy0NM5TsiTnLFQID92ePRAJreVUsSIE5rXX2Fy7dCm15e67j4m9axdtveIKa60ZPZrza5jf2rVMvDJlrPeybVsEdKNGCJNnnqGNa9faAf3DD3hhXn2V3/7vf3ic2rWDJD7wAN/deCMkWD1SxYrxunVr7v+66+ij9u3tJtx58yC5YWEnEpyaNW08eEwMn23dalPvz59vs4impvJZeDgCR1MaB4M883nzEFIDBlByYNcuW9NFE66I2FhwEc730EMIJyWAmmFKwyiVdImcGPutyVRiYqyXrW9fCFMwiABp2dISyogIiNSsWSdapOLjraDxW51UsGlIw1tvMTYCAfowEMDip8IwO5Qwa9x7t272PiIiaJ+SPw3HGTLElq2IjqbtSiTnzuW5DB6M9/aRRxgH06dDtjMzOa5MmdNMUgeH84ioKLzZzz13dr//7DPk5ebN57JVDg4XB1QfUAW5Z0+2rDRuzHr6hz9YD/mKFQW/7unJvJK7d9vXJUvaPXrh4RA43VN38CC6ZCgEsTpwAN0wGCTs8uBB9L/jx/nO81h3MzM5708/odvcfTc64fr1GFi//x4CN2cOulzFiuhOzz/Puv/ddxiob74ZnaNGDdb5AwfIC/Hoo5x36lQM+XPmWD1Vk6SoDte4MXL13Xf5rFMndIe1a23yts6duafYWFtwPSbG7tvLnlglPv7kIZZ6rBrUNTJPyZselz2c0r+PTr/LiQgWBE/dyVDApyOTRWu1paVBuNq25b3uc9qyBcF1zTWEaRYuzIS98UZc4atWYe2YMgUFd88elOQnnmCStmqFZaVwYchDRgYTqk8fFN6iRZmwGzbgoRs7lnatWgWRKlmSydikCef98UdIzpYtTIbt27GqbNrE7957j4l9/DiTu0IF2vTwwwjYGjXwuOzcCdHcudNO0OHDEcxz5tjkLS+9hMI/cCCevy1bGOz16kEEU1Igl0lJkMH+/emvd96hHzUOe/Nm2j1yJIr/6tWc81//gtCNGcP1Fy6ElKWlYQHUvVthYZCit9+2oYsDBthyFAkJeOO++AJCkZKCcImIwNr00EM8I93QO3Agz+s//4GsDxgAMalfn/sfMcJO+m7dIHDqJdNYcU3WomGaivR0G/stgtdMyVP79jaGXMlehw60v0OHE71aq1efWANP5Lf1YPybfbVezdChPAv1JGZk2KyrulE5EKB/1AKnwk33VPjDKDp0sFmz2rfn+3nz6BfdBL1gAR5I9VrOmMEY0Lp4r71miWmJEnaOOTjkNf72N+bf9def+W937mQe6J5bB4dLBRr2r+uEJkV7/33WB8058PPPrA1XXZXXLc57HDhgyyYcPIjRu0gRiJyu1UlJ9FnHjrZI/LFjtn7nqlV8tns3/R0ejt6o9evmzkVHGjwYA3/VqkSIVazI2vzvf+MBvO8+cghoQrWoKPSfLl0gcrrFqFMndMg+fdCN+va1IZy6VWP4cF536iQyeTK5FFq3hjAOG2ajyyZOtHIyI4NzjBlD21Wv8kN1rNxAI6FEbAZzkRNJWnaSl/27k+2ru9j32+WEAk/wRJhAxjDRnnmGULPixUnsceAAG10/+YQJpRkjq1RhUi1eDJGKjGTyFCsGsdMEF+npELB+/ZjApUoh8MqV47zJyTYs8uabIXk1akDq/vAH9sytW0d7Nm+GEHoeg/fgQRumWaUKCnxGBr8ZPBgC1qkThE/3u+3cyflF8Kjcdhu/6dqV9k6axO9//NHur1u0iN88+yzte+QRwjk3bsS1n5iI9+/Pf6YPevXCm7ZpExOnc2fOUaUK5LlxY4TLjh2Ui7jqKojvgAEIjdtvx6PWpg1KU0YG97Nhgy3U3rEjffHWW3hdu3fHO5qQQKKcHj04Pi6Oifvkk/Sv1q6bOhXy0aQJQk1LI0yYwOu+fSFl6hFTj50SIV3UkpMRTvv3I+B0X5uGKrZpYz1e/mQrDz742w3GmlHKH6owZAiEd9o03qvlKzuZ9Fug1OuoFi0Rnu3QoTZMVYV2RIRN0hITAwFWgS3CAh0be6IQXLAAgevfhzh/Psf+5S/Mn/R0nmmNGpBr9ayOGsW9qKVTY/QdHPIaLVqIfPWVrZl3JtixA7n22msuw6bDpQFdM2Jjkf2pqRiRv/uO8LxAAGX+8GHWmEOH+PxSh3oxNUy1RQtCNjMyIHGqn+3di+fM89AZS5Ui8VzTpqzjJUqggx4/znr6wgv0eY0aOBVUF9mwAd2oWjX0qthYSN/ll5OQpWZNHANjxqAL3Xqr1TFiYjC+79+PzrdoETrWyJGs3d9/j/6Xmorhv1072r5yJe0OhTD2jxxJpE8oRBSZbolJS0O/0aglJVxqNFaPnuoN/qycIjazt4gldxr6qUZ0xakI3KkycZ7q84sdlwTBCwtjcKWkYCHp0AEiMW4cZKF5c4hAjx4Iq+uv5/M1ayBCmZmco2NHJlPlysSfv/UWC//o0UygJ5+EdDVuDNnZv58JWbEiAjAy0r5ft47JUL8+12/WjHMlJ0NGr7uOCaoZC+fPtx7GDz7Ae6KlFIYNo/2zZiFIPv7YTsYpU3DBf/kloZK1aiFkevZkMCclcc3p0xEQAwdCjm68kXPddx/XiYlhL1zr1rS7Y0e77y0Y5Fq7d0NkAwFS6V57LW0PC6PvFyxAWD3/PKSvdGmI3caNPCdjOFenTtbD6Hk8r4ULudevvoKk79wJOdLC4BERkLaICISlEp4ePfDUiXDPo0YhsES4lhZFT0nhf0wMz23MGBa1hASI6ZIlPFclTVruQEsPTJ9uhZUmYpk50xI2vZ4KtW++oV0achAIWMtcUtKJcetaMyanzcGKQMCSuzFjWFQWLLD74jTDVSDAM5w4ESucelL951VBt2qVFaCBAONs5Ei7r/Xhh/Guaix/IGDDOrXQtGbjdHDIL3jmGYxT9913Zr/LzMQa3rmzNQg5OBRUqCLevr0lbtdeC8HQrR+FCrHWHz2KflHQQzRzQvYtEZmZJ67RM2fyma7xwSC6z/HjGNX378e4v3Ilek1iIkb4okX5/9//so7v2mW38bz+OjrLlCkQq6++Qu977jm8eQcOoENVqwaRbNbMRu40akQeA2NwTFxzDfreiy9ynUAAfVIEHWDAAIjhTTfZ+rpPPsm++2DQZh/XRG4REdbzt2aNjYBKTeX86eknJn/TvAHdutkM6BqWqeRPDdNt2tg9ejntyTvVPjv/MTmhoJE7kUuA4KWnI4wKF7YWlcKFrWdu5UqU/EmTGEw9ezLJ9u2zdUSqV+e79euxnNx0EwO+dGmbQGTOHAbl/Pkoztu22WsFgzaL5JtvcmyFCgjDu+7CM7dnD97B7dvxJGpyFM3YtGsXxOUvfyGEcf16SJwIxOO775ggdeva+nUZGbjtu3blPgIBFJsWLfAgDh0K0QoPR2gPHMjknTIFIbF9O16wzEzI08qVCJ8vv6T4+cSJkEENi7zlFhT8KVP4fPJk+m35cut9bN4codWrF22PiiLELzERsjdrFn8rVzJRmza1pQQ6daLPQyEElgoNzTApwn+t46bfi1jrjxY61wmvnq6wMPovOprY8gED7LG62bhnTxsr7q8b17Mnv4+O5hrBIAJLa9D5a62I8JuNG7lvzRzVvbutV+cvoK7hkHFxEEIVkNmVSw190H2niYk2dt7flkCA+7rhBoS7JmTR9mlcezBIv2pmqZQUBHooxEI+ejSvH3qIa7VogTAPBhlPd9zBeZwHzyE/omZN5nlCAkagM8GaNcimF15wRdEdCjY0IkX3b/fujYGwVSvW8127WAM02Ybu0b6UkJMMSE+3ZFeTshw5QkTTvn02KUtSEvqAMRxXqhSG8oMH+e6yy9AHt25Fp5kwgXX3+HGI29SpOBpKlKCs1LJldnuR5/GsNm1C/7v2WnS6u+/mXFWrohv/4x9EVT31lM2LoHkPjh5Fn0pPJzrLr3eMHcv1ly6lDzR5XVIS/7t1s9kwp0yBQA4cyBaboUNtMju/PpWdnAWD6JSqo8TH2/5Wcncyb51+5w8xvtRwSRC87dshKRUroghv24bV5OqrIRu9ezPwNEV8nz4Qj0OHUGqvuAJSVqMGnhrNNnnwIOf84QcsJmlpKOadOzP4/vMfvB63385k2LsXZbhqVUoRxMZidbnrLgZw5cpct2xZlPPChbmHVatsvZmkJDxpKSkQz2PHCDlq2pR2Fy6MRa1WLZtF8bXXOM+kSbYchAhEqlAhJnndusRtJyZCBooVQ+hccYXNPNqxI8r9e+9BLnv3pp1Ll3Kunj0hYK+9hkBSD9/QobaMgvb1vHnWJa8Zl0IhiF3HjlYwhIdDHkRspsa5c/EYzp3LMS++aL1x8fGUYggL4xk/8QShg/PmcQ0RFiLdf6fESveKJSQQXrlkifXIpaXZvXTq7VJPnWbE7NzZ7rETsQJLhUtSEklppk2zpEvbrFY9/V2TJieGaapXc8gQ+nnKlN+mCvaPd3/tvZiYEwWe3q9fYE6fTjs0FEe9jEo4dQz66zM2aMDrhASOWbTIZkTNyMDT7e8vB4f8iBYtGP9Dh5659+H551GO1Ljk4FBQoYbKGTOQ6UOHIvuPHbPbX9LSWCcuZYSH2+gVTTTmx8GD6IpaHqp4cZLU7N5NH2ZkEA32yy/oMBMmQOY8z9YrLl0aA3etWhDru+5Cjm3axL66MmVIDpWYyPaWDh2s42DaNEjf4MGcPzMTkv7hhxjhv/ySZxwXxzUSErj+rl2Edr74og2ZzMhAz2jSBP145Ura8eabNuGdjptAAN1i5Ej6aPhw9JTp09EXNWpJxEY1+ZPWaT6Ezp1PrHmnx/hr+SrS061eo3qZ/zv//4KKAk/wIiIYQFpf7ptv2CtXvToTomxZCNqiRQzYpk2xiMTHM6i7dcNbcf31TM5+/YiT3rdP5I9/hLR17w5xSU5mcv7735xzzBi8NN9/zwD84ANCHcLCmDyHDkH2Jk3i2CpVsK4kJdGePn1sBsonnkBpfuwx3v/wA5N+xw6IYeHCTLLNm5kMGhLQqBFCoHVrvHB79nCPbdrgCUxNRQgEAghrETyNL77IOTdvZjKKQJLCwiBo/fvznb8Wm4glMI0a0c433mACrlpFG2bMgPSqUpR9gjVqxHVEmJhXXollKTmZdqpHa9487iE5me+nTuU30dGQs7Q0iOjLL+OlVAKnCVUee8ySMA1FUQuSJlpp397WvFOhtmIF13ztNdquYQJ+65Pu3fOHVy5ciHVTSxCIIOzU+qVkLTWVY2JjbYmGadNsnbuVK09sj/+6/n2Dfqig08ykGh4RG0t/BQLWezlqFEI3JcXuP0xP55ndcguvu3VjHMyaZYm5ZvPUGoJqRNCMsA4O+RkjRiBTz3QP0T//ybgfP94VRnco2EhOJmqnRQt0la1b0WFKlkRn0Lq7lzJSUvB6na7Ie3o6OuAPP1id7ehRyM+ePeilDRtaAn3oEJ6vNWt4HxbG2nvzzeggS5ag165dyzlLlyYUPTyc7UADB2Lo/vlnjPnz5qE/Nm6M/vjZZ+jGffqgr6Sk4A1s3hzd+cUX0QO3bbPZtps0scbitm3R1aKiCH3fsMHqNf7avqEQ1/GTtIcesoZiNWzr9hF/YhYljErWNOQ0JcUaqbN7UwMBzqHGbr9R/FLw7BV4gqdK8eWXWyvAkSNMIC1wvmULhK9PHybHnXdCkI4eheQ9/rit05aQwAT7+WfI3erVJGipU4fJ8MEHhHAWL86x69aRZKV2bQRh6dJYXoYNwwsigrVGwwS3bcNNn5EBMaxfH8X7vfdoa0aGzbBUty5exTp1+EtJQTjs3Uuo6NKlHHvTTZC51ashZtHREN+yZTkmI4Mwyh07uF5aGmUkevemP0QIAa1Rg9DCdu1QZpo0gVw0b45gSU7GajRxIv317rtYlwIBrjF/Pufq1w/B07o1giI6mgkaG2tT/mu2ruef52/RIn47cybfLVkCwZgzh9CDPn1oV0ICVp7+/REcy5dzDa3noglV/F4tJURKgPzJUjQ8YMECvmvcGCHTsKH16mUPbWzTxhIjTazSuTP37N+PN2wY54+Ph+RPmoRlTT2LnTtz3U6dIOUaKtOzJxY2v/dPQ1BbtoR8Zk/aoqmL1esYHc37hQttP8yZw321akW/zZ6NN1MtZY36BgAALzZJREFUaK1akbQnOZk2rV5tC7yr17p9e56bPi8Hh4sFlSoRyrRtG8pRbqHZOatXh+j5DTYODgUBGq3xj3+g42RmQhBSUjCUJyXlXJ7nUkVuIle2baP/dDtNkSLopsnJeM3i4mzETLlyeOauvx79cP16dINFi3BINGqEzqVJAtU4n5iI7hAZiYPC8zhu/HiukZGB97B2bRwAa9Zg/P7iCz5btgzd7PHH8Q7++CNG7wYNbGmm8ePZFjJ2LPry+++j9+l2lg4dbPklrekbHs53q1bxWcuW3I9GRk2cSCSWJmZRaIZw9dpp/oKMDP78e6NVL8lewFzE6mUFMbGKHwWe4AWDWBfq1GGwLFqE8rxjB4Nz0SIG4L338nrTJj6vXRuyVLs2A3vJEqxW3bvjldu3D+utJnD55BMIUEYGLuqYGJvGvnx5m8nzwAGsMqEQ55sxw9Y30bjtsDCU6UCACZeejqLdvDnnT0xkwq5bB7EaM4aJHxMD6XrhBRT45s3xJsbFWYGwcCHkR5NvaNFuY1BQAgEmnW6grlGDtv7tb0zi665DwP/xj8RpJyQwSYYMoY/uuANvWuPGeCM/+ohztWpla6SEhyPYxozB6jR7NoSiRQubJGXsWM4/ejSkWMTWzJszB6HVti3n00LGY8ciKHTCJiRAONq3PzFsUaGbfXUPn24S9ic40aLj+lu1zPXsaZMtxMaemLI3IoK+8nvV/PVbNKxA2xgdzXPs0QOvngo1vwDSPYtKNDMy7H34s0spOnXif2ws//XaCxbwXBISrOdSj1Wy/+67hIMsX84xGRnMicWLsc4tWkTb7r8fj4d6BKdMYTx/9x3PQeT0lkwHh/yGatWQ7Xv2nHnGzeuvZx6PG2eVEAeHiw057WvSUj+ay6B6ddaPkiX5/rLLLnw7L2YcPMj/IkUgXkWL4qnzPEjXnj22zvLmzehQO3awbWbXLrbtHDiAbjl+vA0J/eUX1uQ5czD0JiayhmtG8aVLyQGxcSNG2vbt8ZglJnKuv/8dfVSdFZUqUUqrbl2I2733kmwqLY2/yZM53z33oDtUrsxvk5NtEfTOna0OEhVlE688/jifjRuHTqf6yh/+wHEivx2LgQC64qhR1jivEUTZyzD4daju3fnMv6WlIJM7kUuA4KWm4r1q2hSlu3BhBv2ePQziKlXweH38MR6lQABi8+abKNrr1+P9q1SJybVkCcp09ep4u44dg8Dt3GkzVzZuzPf//CdewFq1OG9SEvv+Zs60IT1VquBJ01joBx5ggnz6KZ6rtDRCDF98EWtKnTocHwpBkpKSULQnTEAxqVuX+/7Tn1C0P/gAb1/XrnwWHs5Aj4tjMmofFS6MAAgEUO6vvBIPYu3akKzERJT2//4XUjZgAMp806ZYZGbPpj0ffMDeu86dIXf33881u3aFXAYCEL1Vq2irZuOqWRNLVHIyx+l9hEL0l2Zb6taNz9u2RSj4U/k3aGCT3ajlaNYsm5xEhM9V0Cjx0uQhGsbpJ4Jag05DBDp3pj3qBfR72tRyr/XvJk3i2rqPTUnQzJnWwqeWpEce4f/Chb8N2Xz1Vesp02yamhRGz6ufjxqFNc9vTdVQBt1j9/77J4ZDaLrh5s3x2j7xBIRS+6BdO/omELDhrsnJzAVNRtO+PW3q0oUxvWsXv/UTUQeHiwnly2Ok27aN9eDWW3P3u/h4PPGLFmFg27zZET2Hiwc5pZrX8btyJevstm3oB99+CyEZMAB9yuH00BqxCt2vduAA7zUpiwhRY2FhGNqnTEEHnDoVkh0Whi525AikLi0N3TUzE1300CHk1htvoG9phnARdMzly9HrRo8me3xCAjklQiFI3LZthG7u3o1eIMJWkbfeYl2Pjkb/qViR9T4Q4Dfr1xMSGhZmjcMzZ9Ju3XYyYgShmmrIHjCACK+0NHQ2NQznNBbbt0e21q5t25KRYSOq/NDf+SOsCrrXzo8CT/BCITxuq1cTM96yJUQuM9NmLPrhB4hGXByfFy8OkTl0CHKi2TO7d7fK7e7duMy1Vt799/NbrbNWtizHTJyIxaV/fzxRixez727mTNzdBw6QcKVZM7xo33/PMZUqQToLFbKEJCwMxeH99/G6xcUx0ffsgVBWrcpkvfxyJnS1apx33DiyYaalQUSvuILvb7mFPWWPPQZxDAR4P2EC3sEqVew1u3SBhDz2GAr/uHF4zubPt5OoQwfa2707yn+DBij/gQATSrMmBYP0eadOllSuXw+p03BGEchKUhKT118we/lyrtuoEcRR47y11p+GY4pYwjpjBgLy5ZfpeyWAmvVy+nRb4FvkxPhsjddWaLhj9rjw2Fi7qVdLNWicugi/CQvjvjXjlBK4GTO4VkYG7Zs0iXPNmsWxcXH0xYgR/GlcuQjEOi6OvyZNeC76nT90UhOsNGhgNz8Hgxg+NFQzLo7/CxcipOPi8Ix26gTpUzI3dixj9+23mQ9aO0+Ec5Ypw7GXYlY1h4KFatVYQ/77X2RvbssrPPccIdW1aqEg6RxzoZsO+RnZleDUVBT71FQ8Jz17MqYbNGAbxMaNGDJySiricCLKl0ev9CMz87ekT+F5kLgSJfD0pafjNPA8PICaZT0pCYeB1qP95Rd0w9tuQx+YO9dGj5Uqhf5UrhzH/for36Wm4r3r3Rt9+frrWd9ffpmIsZ49cVDccw/bYoYNsxnUCxVivX/xRVsmQjNyiqAzLl9uC7WnpKAbJyfbzOcJCTYqS/VE9Ryr0TsmBp0kLY2tPkOHcn/h4VZvFLHHK7Hzj2f9fynI4QJP8FSJ3boVhfnnn7EyVKoEwdIMQRERWD0iIyF78+Yx0A4dQpA1bcog+sMfID9a8PHoUVzrakkoWxZFoHp1PH4lSkAeVq9mMl5+ORtjhw7FY7J1K0r5F18gPMeN4/2OHRCswoUhl1WqYEH+85+ZENu3E7ZZuTKfv/cehFBDK7XEwMqV3JvW4OvQgbauWUPYZe3anCM8nAl5331Y4gYNoh3ffUe/DRoEIZwyBfJ2//3WK6Z7CefORaFXktazp/WYTZ3KYjB1Ks/juusIFVCvT6NGtmaa7hm7/34EjAgEQyempvbXvWhTp3JfERHWDa/JP7p141yJiQiPli1tBk5dyFJTIbX+UguaHEUFjO7fmzkT8qYEyZ+yt3t3zh0djbBq1w4iLmKzWWr7Jk+257nySptVq1cv7nXtWvv7P/+Z+1i4kD7RGjWaUGXdOn7TrZu9nr9IrSZL0f2HWo8nJsZmy9TnpR63tDSec7duhN9q2KjWHLz/fsbu/ffbGPpZs7AW1q7NuE9OtklhHBwKAjQMae5cwvLvuit3v4uLQ57ceSeRHX5PvYNDfkP2VPVqBGzXDu9JkyZ2z1azZnnWzIsOe/fm/Ll67/wIBtHbRNBVjxzhdWYmuuTTT+N503wRFSsSLpuQgG6pmeALF0bHOHyY82Rk2JwFJUuSvfP229FHoqJ4HRbGNqTrr2c7zoIF6FnVqkEaa9TAgbFiBQZ0zaj+zjt45saPR59NTcXrmJREJENyMttQgkHk4Lx56A0NG6JHLlqE7pGezm9SU7nuww/zWreUaI1e3UKjoZmasVyT0vkjsBT+RCsFXf4WaEelPsQOHXjgM2agcP78M4ptyZKQpxkzcO8WL45VRFPj338/LupVqyBNSgDT023mzSuuQLldsQLC1bQpA3r7diwpu3bxm3LlIFIzZ7LPb+5cJt3NN5OatnhxBvuAAXg/mjeHVP3xj9xLoUJscE5LY2IUK0Y44p49WJUzM7n2zp02PC4QgCjOmUMbv/uOyf3ww9x7+/YoHjt3Yo2ZO9daelJTIVwjRqDQh4Vx7fBwjo2J4fO0NPq0aVMsNJrhKRDASjN5Mh4qEZttMxjEoynCdeLiICmDB9vntno11p/HHuOzuXO5xttv4+nTEMW0NMJEtJaV7qnr3x8rk8IYrFaa6VE9cKmp9PtLL1HWYsAASPaAAdbl3707giI9HVK6dCntmjWLdmpGTq3JV7Uqz27cOPraHy6pyVvGjLEkUffs6XHBoM0spUQ1PZ17ffttBKomp0lI4FqhEGO9YUPu4+GHLZkMBvEk6L0otA80hDM62va7xrnrPkQNAdV7WrKE8btoEc957VraVakSXmjdM+hSyDsUROje3ttvx6o9Zw7K2+efn/p3H3/M/7/9jfnWqROypnx55ICDQ36CX4fKyGCt1DV/wwb0j4MH0W+2bs3r1l78iIhAt9OcDL/+yucpKdZDmpmJo+Avf+H9/v2s14cPo4OFh+PESEuzJb127sQRkZaGnFqyBN0wIQFyGBPDNUIhdJP+/ck9ERmJ3lWzpsi//oVOe9ttZNQsXZrffv015C0QwLObnIzON3Uq5LJyZZH/+z/26WmW7QcfRGdOS7OOh7ffRuceORJjwvz56Brh4XjrVD/SJHdz5rDdR+E3xqs+peNXPXj+95dCqKbx/AG/FwFatGjhLVmyJNfHp6biQVuxwqaH/fprLBXr10Oc/vhHka++YuB17QphEMEztnkzE0G9bcWLM1nq1WNRnjMHy8PBg0y8smUhggcPMuFat0bZHTECi9cvv2BpmTGDwR8VxSB76SX23xUrhpJcty6TbM8eBntaGqTx6FEI0V13oRykptrUuZ7HoK5fHw+ZWkHeeYffbd7MfdWvzwQJD2eCN26M4v/KK9xDejqWnpo1UUJ69bKWjunT8fRMngxBGD0aQf/664SWitCHGvb4668Q1uhohMj69Uy+qCgb2qd71PyESvexqWVGLT/33MOzFLEkIikJYZOcTN8cOAABf/RRK1DatePZawmC7t25p6lTITXDhnEuvU/NvKkhmP7xpIiNtQlc9LdJSQgmLXyuSWhygiZaad+eflAS+a9/YSH1k9FQiPubNcsWZ9e+09/u3y/y7LOESaxaxXfatqQkyJkSvZkzbaip7nHU82oq44kTGQODBvGcCxc+8dnNmoWB5O23OWb6dF6XL89Yv+suQk379cv5/v0wxiz1PK/F6Y/M3zhT+eRQsDB+PPJn+nQMd7lF06aQvlKlmD/VqvF5QVdALhYUBPl0trLJXzNMleT9+wmrO3aM159+im7kSiWcexQvji55KhQqxLp99Cjvw8NZzwsXRhctWZLnVqQIyXB++QXiVbQo37Vpg45asiR6ZMeOyLD69TmPemtr1qRmXseO6ACacC0lBX31ySfRI++7zyZwiYiw+scVV6Aval08JXiaWDAUQg8uXx794pln0DcXLbK6W/v26M/Ll9PWFi34veqK/rrCIqd/f7HjVLKpAN1mztBY4KFDeb9yJW7nhg3ZgJqayqKswunQIQZZs2YQqqJFbR2wTZt4/fbbhPyVLm0nUiiEVSQyklDAOXNwW2/ZgkfvzjvxrFx2GZPxyivZo/HRR7Rx0iR+9/XXLPLLl0PMnn0WBb5hQ9rfsCHeqiVLUMonT7Z1Tr76Cm/eZ59xTxs3MgFq1uR8mZkoH7fcwnUeeIAJ1rkzVo25cyGXr78OUerWzRIETcGfmGj39S1ahKfpnXfwarVty70sWGAtftOnQ8zmzWMCdu9Ov993H229916Ob9mSduhiEgrx++RkGx6Ynk541BNP2Pjs5GQ+GzCA51K7Nn3+6KP8TuOyNexTQ0bVc7hmDX2n3rxHHqHMgBaJDwSs4EhNPdEqpMRLxIY8itjQVN2bp22PibFEqnNnSzLV8qRCR/clagbL2FiOj4+H9Pnr7onYMNP330e4li5tvYQPPsixmjFV68GInFhCQQmwtjU8nN+kp0PoWrWyYbLp6QjfBQt47jo2t24lQ2fnztYb6+rgOVxKuO46/g8YgNKrlu2pU22ZmJyQmHhixEHPnhgRO3fGal6tmktD75B38BsjZ8xAf+jVC91m7148Svv25W0bCypORu7UqC9inQvbt+MkKFECPfPIEdbyAwdYi1NTkUkaYnnoELrtRx+h+z37LDpQbCzeuLQ0dJ34eK5VsSLbMEaOtJFhe/bwPzyc8+/aRbK9Y8fQD5o3P7F+cM2ayMSbbsITWLYsOvrnn6Pb7tlDFNSECeitb72Fw0NzFKheNnQobejZkz7IvsdOcbr3BRkF3oMnciJjT0pCcb3tNpTlokWxACQkMEmuuAJh1r491pDDhxmA+/bxfZUqePDat8c6snw5E2rjRsjdgQNMgs2bIZLFijGx/vlPvB+xsQzW6dNZuDdsYIBu2ID1ZN06rCbp6UzgWrVs7Y9u3WwttSuvZPJ99x1esRo1rDcyOhqX+HPPcb0NGyBoxYtz7d27URiCQcjQlVeikDzxBOFGXbsy6atUwQPZsydWumXLIHWtW9NPWiqhSBHI4p//zHmHDIFk7N+PUtOxI0LBGL6bPZsJX7s2pGDAAOLJ+/WDcDVqRIz4+PGE+119Nd+lp1viqaRn7lz6aP16m+RDjxGxnir1Co4aRRu3byccIBjEQ6oWqORkCI3Gafs3mr/xBml9/QlKcorhTk3FGqZeUg2L9P9G9/jFx/McNTmMWrsiIn57bv+9+MMNNMFLWhqWNr2OlsJo2BCP3pNP2lBSJaDaLvXiiVgS2rYt42D0aEtwx4yBPM+axZypUYO2rlpFltann2bcb96MR2LtWuuNOBUKgoVcxHnwHE6Ojz5iTkZGYtA7XTinH3XqYAyrWdMm+OrdmznsiN/5R0GQT79HNmnkSmwsa+WSJegAr75KHoMtW85dOx1yjyJF0B2OHMldkhtd/1Wv0YixnTuRTYUL2/NVqIBOUaQIn5cvz/uDBzk2FELPO3YM/XfmTPTRw4fR61asQIccMAD97OhRtkeVKkUuh4gIDNDvvYeOqV7ImjU5vmlT/g8YgBOhQQP0zWDQ6n/q0dMopoLsqTsZTiWbLgmC50d6OklDevXC0vDGGyiqt9/O+3vuIVxy6lQ7+LdsgfTMn8/gjYiAKO3bh3D76SeU2L17IQe33spA37yZSREI8F0ohGXi0CEmz+zZLPZFiqBMX3YZBK9fP9zgjRujON92G4p1jx4QBs+z2Ra7deOeFi+GGPTty4BPS4N8Tp1Kbbr4eDw0s2cTOqRZM1evxgu3YAHnaN4cklWrFm2pXZt+GzmS47Zvx4MXHs6ES0igLVrbToRz3nEH9fheftlacRYv5tiWLfmdiK1fIsJk/PZbJvVDD0E4u3VDWCjpU8ycaUNUb78d5eeaa04kTkpYOnWyhCkpifO+8AIKV+PGENYnnsBzqSGVui9NhYim4u3Z0xI8JUZ6H1rbZdo0G3rQs+eJXjMlcVq7rk0bCGnr1ngi776bsIThw63lSr3Eev6cNgwrYUtPx0rWsCH9+uqr1uOpwn3qVEukRWijCspZs/Am1K9vn2m/ftzn0qWc/8kn+d3EidZ7umEDFjWtxXjvvfTlpk3ModOhIChQIo7gOeQe8fHINk28sHYtcj+3iIzEeNaqFe/VoBQIYHgJBpl7l4qicz5REOTT7wnR1H1LutZ8/z3rwbffsoYtXsy673DhUbiwrU14MkRGojeWLIkOp8XB/YiIgLiVKwcR8zyM8hUrcvwPP9gIqcsvP7GUwdGjlFBatIjXqakc06kTOsCBA/zu3XdJKDhwIIbj665Dx7j2WrunLhhE/2neHL04KsqGeDZqZBPJqdFZawBnLw3l33tXkJFnBM8Y01tE3hCRgIi863ney9m+LyIiH4lIcxH5RURu9jxv+6nOeS4UKF3wUlOpNTd5Mkp1164MwCuuwKuzdCkELSODgX74MIps48ZMqmPHmAiNGkGeDh8mrlmzGt1wAwpz3boo1LfdxvvduyF/Tz+NN+appyA1jzyCa7tzZ0uADh60oZ7FitG2zEyuf8cdLOATJtBWY7DE3HgjxGjqVIja7bdjLf70U8hrcjJhko0a8To8HKU+M5O26ESbMgXLSdu2eOv++1+8fdddZy16c+bYED/tU90k26yZtcKEhUFennqK/X1/+hMCpWNHm9QkIgJCUr++TZqie89GjYI4qHcpJYU+fPxxW5PN7ynTcEqRE4lUr142E6Teg7bb7+LXcErdf+hPRtK+vSWQum9ThDYOGsS9t2hBmzSMU71mY8bgyfV76KZMsXv21JvYpQsCauVK7jEYPFGQaZv27+ecwSBETsQmjunUyd6zYsoUzqmhm6NHI2y1qKj+ftYsuwdQiaUu7up1zMjAq/vQQyzwaWmMox9+YGw99RShPBq2dipcaAXqfMgmEUfwHH4f9u9H9oSFQfgCAQxtCQnI0TNBeDjye8EC1qK9e1kvdu3CA6iyVMlg6dI26ZPDiThf8un3yCFjzDMicp+IZIjIEM/zpp3qWr9HNulapetiRgZ6wSuvkNBD92MdOuTKJeRX+EM6VSfxQ2voKaKi8ORFRuIQWLYMR8bPP0MoIyN5v2gR+qjnof/+8ANOi1AIo++IEei2W7awjej22yF8V1+NnPv2W/SQefOsPjVrFrrhm29iuPLrR9mLmZ/MgHWpGLbyhOAZYwIislFEeojILhFJEJFbPc9b6ztmkIg08jzvQWPMLSLyB8/zbj7Vec+1ApWainVg6VLeq+dFhZiShkmTcCU3b07Y2owZJLPYvx+PVCjEQnnLLVgyGjcmlrhzZxTqsmVtiYVq1SB8oRCT4dgxrCQRERDDHTv4bcmSWHhr1kRwjhvHIjx2LGUYYmIgqJqq+847sQC3a8cE/OorwuXUw7ZoEV6rFSsgEU2aQKy0LuCePZCFOXM4X0oKk7plSybYggUQyJdftmTi5pshHaNHc44iRSAw6t2aOhXSFgrx+6ZNIUlq/enZk/5/9lm8qYrsREhJ26hR7E1ZswahocqIn7S99BJWo1tusSGLM2dCPnRvngiLkiZ2ad+e6zdpciIhEqGfdb/c9Ok2GUkwyP1pRs/Jk3mtpPXBB21il7lzIW3JydZLqGGU/qyeei+6f05jzJXo6n7FhQsReA8/TGhpt24cM2oUnlV95roHUUmuCs6FC+0ex6lTf+u9HDGC7KCpqYy3QYNOLJWgyXaSkjCK3HEHY+/KK1kUXn2VsZ6YaMs6nAoXkuCdL9kk4giew/lBejpRIRERyOUdO5i7FStiMPzxxxPl55mgcGGMh1ddxbmHDeM6mkxJhP81a1oC6A8DF7HW/+wRBiIn7pfWPb1+o5lfEcspSUJ+wPmQT79HDhlj6onIZyLSSkQqiEiMiNT2PC8j+3UU58o4rvvXO3ViTC5cyLq0ZQv60Mm2LjhcvNB8AIEA0WcHD1q91RjCLuvXR+8qWRIdavZsnBuXXYbe+eSTGP1Ll4b4jR6NvJg+HT1N6y02asR1/MZ1bUN+lA15jbwieG1E5DnP83plvX9GRMTzvJd8x0zLOmaBMSYoIntFpIx3ikadLwXqZAJJB9W0aSx+vXtbIjF5Msr0Z59hZdDvtm+H1LVqxWKmlhL17Pz733g91IqixRhFmES6P23zZjxnH38MoYuNxRvSsSPEISXFhtF17sy1p05FSZ8zByvJtm3WAtKsGUp4nTpcY+tWLLrNmuGZHDSI9mqIYWIik3fYMPph5kzI4Pz53PMVV/DdvHmQx6ZN8bypAhATY2uraB/7F3V/eGN0NL9Tt7rWONG0t/59Zl27nrgXLy3NlivQhDXLl1tFRa+t51QS8/rrNp2u34uX3ToUE2NDNdPS+Fz3zI0YYTNejhgByX36aft7JUp6Tt0zp8/e3wZ/SIG2Zdo0m5RFE92MHcu469qVUIaGDSFTzZpZ4qnhpVobRj2YiYk2ZFPvL7vSJmKvHxODYqYx8Sp0R4xgvIwZY+vr9OtnaxmGQhy7apWtk3gqXGCCd15kk4gjeA55h82bkelXXIGXbu9ePHUbNqA07dr1Ww9eSgqGyg0bMCIWKYLiJvLb7H3Nmtl9vnquKVP4rkcP5HndujaJgkaaNG+O0fHhhzEifv45cqhDB2t4a9QImapyTmV09v2Fuc2QlxtF8EyUxfNE8M5aDonI0/5j/ced7HrniuDFxNh1MCGB13Pm4MH58UeMfkeP/jYE0CH/QstgFS2K/Ni3D52gSRPmY7NmhG7OmkV+h65dGQezZ7Pud+mCobduXdZ9f4RUfDzniYqyc1sN8iI56x0ijsjlFnlF8G4Qkd6e5w3Iev9HEWnted7DvmNWZx2zK+v9lqxj9mc71/0icr+ISJUqVZr/8MMP56XNp4ISwJwWk5MRg+wD1H989njhnI7TBU7Pr7/LyULmV9j932e3gOi5/JZT/7X87fFntMx+bj2PP3QvN32QU5/m1P7s1/PfU06fZW9/TspB9vNnfw6naufJ+tz/7P1FzxU5PWt/n/i/P9mYyX7P2a/p/+50/Zi9n04Xp559HGXvOy1N0a6dJYkzZ7JYaEbX3IR8XWCCd85kU9Z3eS6fHBzOFklJzGP1wKlXLi89eGqAe/TRk8urk71Xo+Dp5NqZ7NE5TwTvrOWQiDwnIgs9z/sk6/P3RGSq53lfZbvGOZdN/jVB98L7P9OokMmTeT1vHgZqLdOUPRTwUkWJEkRaVa5M2GNYmM2c++uvGD5KliRvQ5kyGGPCwphre/fiQNi3DyK9eTNG3F9/pa+Tk63H7cABkp1ERtqtIosWYVQpXpz3NWsiB6KiLDkLBk9M+hYM2pJUfj3wVAZykZx1EYdzh4u+TILneW+LyNsiWKHyog05DUr9LCeScCbH57Qg5nS8X1E+2STJ/tvsx/mLaZ+sDSf7rf/z7G051f2eDKf7zanu5XTfna5/RHKffe5UFiX/OXI63+medfYi6Ce7tv91TtfM7fPM/vnpFJzTjaOICCx2/uM0xFW9uQUd+UE+OTicLaKiTtyDeyY4nfzzI6f1KydZrZ/5yZ1+7pdXp3qfG7l2KSRgOB+yKbusz96HpUuzx/6Pf+T9/v02UUZSEp7fefNsSN9ll+E9Tksj4mjFCjxJBw4QMbRiBeesWRMic+gQUSFaG3jGDIhSWBiewyZN2BJTqBDvixblf716jMEdO/hu61bCDZWgVKwIKSpfHo/2L7+QwyAigu82bIA8lShBYj0dz4GArcNbujT3VLcu3yUnc79qCPFnyNY9r2okF7FESuTkhCknnClx0hq/fpwsGZq/1JH/dXY98GTzPyddxOHC4Hx2924Rqex7Xynrs5yO2ZUVfhApbCR2cHC4ADgXAvdk5DIfkzsnmxwc8jlyYzg9nXH0VMgHyubvkUO5+e15x6kMqSr/9b/fiHDNNfyvWfO8Ne2cQ/eznw453ZPee24ySivOpPzJmY7lfDD2HS4ACp3HcyeISC1jTHVjTJiI3CIiE7MdM1FEslKEyA0iMut0e1wcHBwcfiecbHJwcMhr/B45NFFEbjHGFDHGVBeRWiKy+AK128HB4SLAeePxnuelG2MeFpFpQgrg9z3PW2OM+buILPE8b6KIvCciHxtjNovIAUHAOTg4OJw3ONnk4OCQ1/g9cijruC9EZK2IpIvIQ6fKoOng4HDp4ZIrdO7g4JD/UBAKCYs4+eTgUBBREOSTk00ODgUPp5JN5zNE08HBwcHBwcHBwcHBweECwhE8BwcHBwcHBwcHBweHAgJH8BwcHBwcHBwcHBwcHAoIHMFzcHBwcHBwcHBwcHAoIHAEz8HBwcHBwcHBwcHBoYDgosuiaYzZJyI/5PLw0iKy/zw253zAtfnC4GJr88XWXpEza3NVz/PKnM/GXAicoXzyI78/3/zcPte2s4NrW+5x0cun3yGbRPLf8/DDte3skJ/bJpK/25ef2nZS2XTREbwzgTFmycWW2ti1+cLgYmvzxdZekYuzzXmF/N5X+bl9rm1nB9c2h9wiPz8P17azQ35um0j+bl9+bpsfLkTTwcHBwcHBwcHBwcGhgMARPAcHBwcHBwcHBwcHhwKCgk7w3s7rBpwFXJsvDC62Nl9s7RW5ONucV8jvfZWf2+fadnZwbXPILfLz83BtOzvk57aJ5O/25ee2/X8U6D14Dg4ODg4ODg4ODg4OlxIKugfPwcHBwcHBwcHBwcHhkoEjeA4ODg4ODg4ODg4ODgUEBYLgGWN6G2M2GGM2G2OezuH7IsaYz7O+X2SMqZYHzczeptO1+TFjzFpjzEpjzExjTNW8aGe2Np2yzb7jrjfGeMaYPE0jm5v2GmNuyurnNcaY/17oNubQntONiyrGmNnGmMSssdE3L9rpa8/7xpifjTGrT/K9McaMyrqflcaYZhe6jRcLjDHDjTHrs/ppgjEmKh+0KVdz/kLDGFM5ax7o3H0kr9uUHcaYQNY8nZzXbckOY0yUMearrPG2zhjTJq/bpDDGDM16pquNMZ8ZY0J53aZLHU42nRmcfDp7ONl0DuF53kX9JyIBEdkiIleISJiIrBCRetmOGSQi47Je3yIin18Ebe4iIkWzXg+8GNqcdVxxEZkjIgtFpEV+bq+I1BKRRBG5LOt92fzex8Lm3oFZr+uJyPY8bnNHEWkmIqtP8n1fEZkqIkZEokVkUV62Nz//iUhPEQlmvX5FRF7J4/bkas7nUdsuF5FmWa+Li8jG/NI2XxsfE5H/isjkvG5LDm37UEQGZL0OE5GovG5TVlsqisg2EQnPev+FiNyd1+261P+cbDrj9jn5dPbtcrLpHP0VBA9eKxHZ7HneVs/z0kTkfyJyTbZjrhEGjYjIVyLSzRhjLmAbs+O0bfY8b7bneUez3i4UkUoXuI3ZkZt+FhH5h7AApF7IxuWA3LT3TyLypud5B0VEPM/7+QK3MTty02ZPREpkvY4UkR8vYPt+A8/z5ojIgVMcco2IfOSBhSISZYy5/MK07uKC53nTPc9Lz3p7Mc35Cw7P8/Z4nrcs6/VhEVknLMD5AsaYSiJylYi8m9dtyQ5jTKRgmHlPRMTzvDTP85LytFEnIigi4caYoIgUlTyWcQ5ONp0pnHw6OzjZdG5REAheRRHZ6Xu/S347kf7/MVlC6lcRKXVBWpczctNmP+4TvCB5idO2OSv8rrLned9dyIadBLnp49oiUtsYM88Ys9AY0/uCtS5n5KbNz4nIHcaYXSIyRUQGX5imnTXOdKw7gHvlIpjz+QFZIfdNRWRRHjfFj9dF5EkRyczjduSE6iKyT0Q+yArRetcYUyyvGyUi4nnebhF5VUR2iMgeEfnV87zpedsqh2xwsukM4OTTGcHJpnOIgkDwCjSMMXeISAsRGZ7XbTkVjDGFRGSEiDye1205AwSFMM3OInKriLyTH/YWnAa3ish/PM+rJIQ/fpzV9w4XAYwxMVnx+9n/rvEd86yIpIvIp3nX0osDxpgIEflaRB71PO9QXrdHRMQY009EfvY8b2let+UkCAph1W95ntdURI6ISL7Yw2SMuUzwxFQXkQoiUixrDXQ4z3Cy6dzDyaczhpNN5xDBvG7AOcBuEanse18p67OcjtmV5VqNFJFfLkzzckRu2izGmO4i8qyIdPI879gFatvJcLo2FxeRBiISmxX9Wl5EJhpjrvY8b8kFa6VFbvp4l7An7LiIbDPGbBQIX8KFaeJvkJs23ycivUVEPM9bkLXJt7SI5HV46cmQq7F+qcDzvO6n+t4Yc7eI9BORbl5WoH8eIl8/O2NMYUF5+tTzvPF53R4f2onI1VkJkEIiUsIY84nneflFGdglIrs8z1OPwleST5QoEekuIts8z9snImKMGS8ibUXkkzxt1SUAJ5vOLZx8Ois42XQOURAs/wkiUssYU90YEyYkUZmY7ZiJInJX1usbRGRWHguo07bZGNNURP4tIlfng71hIqdps+d5v3qeV9rzvGqe51UT4vTzityJ5G5cfCN478QYU1oI2dx6AduYHblp8w4R6SYiYoypKwjofRe0lWeGiSJypwHRQljDnrxuVH5EVojwk8K8OXq64y8AcjMe8wRZe6jfE5F1nueNyOv2+OF53jOe51XKkoO3COtNflCeRETE87y9IrLTGFMn66NuIrI2D5vkxw4RiTbGFM16xt2E/UsOeQgnm84MTj6dHZxsOre46D14nuelG2MeFpFpQmal9z3PW2OM+buILPE8b6Iw0T42xmwWEkLcknctznWbh4tIhIh8meUR2+F53tX5vM35Brls7zQR6WmMWSsiGSIyzPO8PPPs5rLNjwuhpEOFhCt356WxwhjzmUCSS2ftC/ybiBQWEfE8b5ywT7CviGwWkaMick/etPSiwBgRKSIiM7Lm/ELP8x7Mq8acbDzmVXuyoZ2I/FFEVhljlmd99mfP86bkXZMuKgwWkU+zlOOtkk/mped5i4wxX4nIMiEUMFHIHOyQt3Cy6czg5NPZw8mmcwST9552BwcHBwcHBwcHBwcHh3OBghCi6eDg4ODg4ODg4ODg4CCO4Dk4ODg4ODg4ODg4OBQYOILn4ODg4ODg4ODg4OBQQOAInoODg4ODg4ODg4ODQwGBI3gODg4ODg4ODg4ODg4FBI7gOTg4ODhcsjDGJOfwWaQx5iNjzGZjzJas15G+72sZYyZnfbfUGDPbGNMx67u7jTFjjDHPGmOWZ/1l+F4PuZD35+DgcHHCySaH3wNH8BxyDWNMJWPMt8aYTVnC442sWiW/97zVjDGrz0UbfedsboxZlSUER2UVpsx+zJXGmAXGmGPGmCfO5fUdHBwuarwnIls9z6vpeV4NEdkmIu+KiBhjQiLynYi87XleDc/zmgu1m67wn8DzvBc9z2vieV4TEUnR157njbqgd+Lg4FCQ4GSTQ67gCJ5DrpBFkMaLyDee59USkdpCIfYXf+d5g+egeTnhLRH5k4jUyvrrncMxB0RkiIi8ep7a4ODgcJHBGFNTRJqLyD98H/9dRFoYY2qIyO0issDzvIn6ped5qz3P+88FbaiDg8MlBSebHM4EjuA55BZdRSTV87wPREQ8z8sQkaEicq8xZrExpr4eaIyJNca0MMYUM8a8n/V9ojHmmqzv7zbGTDTGzBKRmf6LZHnz5hpjlmX9tc36vLMxZo4x5jtjzAZjzDhjTI7j1xhzuYiU8Dxvoed5noh8JCLXZj/O87yfPc9LEJHj56B/HBwcCgbqicjyLBknIv9f3i0XkfpZf8vypmkODg6XMJxscsg1HMFzyC3qi8hS/wee5x0SkR1CSMBNIv+fXF3ued4SEXlWRGZ5ntdKRLqIyHBjTLGsnzcTkRs8z+uU7To/i0gPz/OaicjNIuIPGWglhBvUE5EaInLdSdpaUUR2+d7vyvrMwcHB4ZzCGDPBGLPaGDM+r9vi4ODgoHCy6dKGI3gO5wKxInJD1uubROSrrNc9ReRpY8zyrGNCIlIl67sZnucdyOFchUXkHWPMKhH5UiBzisWe523Nslh9JiLtz+E9ODg4OIiIrBWRJv4IgazXTbK+WyMYqERExPO8P4jI3SJS8oK20sHB4VKDk00OuYYjeA65xVoh9vv/wxhTQiBsCSLyizGmkeB1+1wPEZHrfRt4q3iety7ruyMnuc5QEflJRBqLSAsR8Sdx8bIdm/29YreIVPK9r5T1mYODg8Mp4XneZhFJFJH/8338fyKyLOu7/4pIO2PM1b7vi17AJjo4OFyCcLLJ4UzgCJ5DbjFTRIoaY+4UETHGBETkNRH5j+d5RwVS96SIRHqetzLrN9NEZLBmsDTGNM3FdSJFZI/neZki8kcRCfi+a2WMqZ5lsbpZROJzOoHneXtE5JAxJjrr2neKyLdndrsODg6XCIoaY3b5/h4TkftEpHZWtuAtQlKp+0REPM9LEZF+IvKgMWarMWaBoGS9kFc34ODgUCDhZJPDWcOQg8LB4fQwxlQWkbEicqVgHJgiIk94nnfMGFNO8JL9w/O857OODxeR10Wkbdbx2zzP62eMuVtEWnie93DWcdVEZLLneQ2MMbVE5GvBO/e9iDzkeV6EMaazkC3qsIjUFJHZIjIoiwjm1NYWIvIfEQkXkakiMtjzPM8Y86CIiOd544wx5UVkiYiUEJFMEUkWkXpZewsdHBwcHBwcHBwcLjo4gudwUSCL4D3heV6/PG6Kg4ODg4ODg4ODQ76FC9F0cHBwcHBwcHBwcHAoIHAePIeLGsaYRSJSJNvHf/Q8b1VetMfBwcHBwcHBwcEhL+EInoODg4ODg4ODg4ODQwGBC9F0cHBwcHBwcHBwcHAoIHAEz8HBwcHBwcHBwcHBoYDAETwHBwcHBwcHBwcHB4cCAkfwHBwcHBwcHBwcHBwcCgj+H2bRs/uo0ufCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(2,3,figsize=(15,10))\n",
    "axs = axs.ravel()\n",
    "col_to_plot = ['Delta','RAW','LOGIT','ENTROPY']\n",
    "\n",
    "\n",
    "df_to_plot = soma_df[abs(soma_df.LOGIT) < 10]\n",
    "#df_to_plot=soma_df.copy()\n",
    "print(f\"Removing {len(soma_df) - len(df_to_plot)} Cells\")\n",
    "\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "for i in range(len(axs)):\n",
    "    if i < 4:\n",
    "        col = col_to_plot[i]\n",
    "        df1 = df_to_plot[df_to_plot['True_Label'] == 1]\n",
    "        axs[i].scatter(df1['Overlap_0.1'], df1[col], s=5, color='r')\n",
    "        df2 = df_to_plot[df_to_plot['True_Label'] == 0]\n",
    "        axs[i].scatter(df2['Overlap_0.1'], df2[col], s=0.01, color='b')\n",
    "        axs[i].set_xlabel('Overlap_0.1')\n",
    "        axs[i].set_ylabel(col)\n",
    "        axs[i].set_title(f'Overlap_0.1 vs {col}')\n",
    "    else:\n",
    "        \n",
    "        df1 = df_to_plot[df_to_plot['True_Label'] == 1]\n",
    "        axs[i].scatter(df1['LOGIT'], df1[col_to_plot2[i-4]], s=5, color='r')\n",
    "        df2 = df_to_plot[df_to_plot['True_Label'] == 0]\n",
    "        axs[i].scatter(df2['LOGIT'], df2[col_to_plot2[i-4]], s=.01, color='b')\n",
    "        \n",
    "        #axs[i].scatter(df_to_plot['LOGIT'], df_to_plot[col_to_plot2[i-4]], s=1)\n",
    "        axs[i].set_xlabel('LOGIT')\n",
    "        axs[i].set_ylabel(col_to_plot2[i-4])\n",
    "        axs[i].set_title(f'LOGIT vs {col_to_plot2[i-4]}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "549015d3",
   "metadata": {},
   "source": [
    "## Explore PCs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a02c5d5b",
   "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>ImageNumber</th>\n",
       "      <th>ObjectNumber</th>\n",
       "      <th>FileName_Cyto</th>\n",
       "      <th>FileName_Nuclei</th>\n",
       "      <th>FileName_Soma</th>\n",
       "      <th>PathName_Cyto</th>\n",
       "      <th>PathName_Nuclei</th>\n",
       "      <th>PathName_Soma</th>\n",
       "      <th>AreaShape_Area</th>\n",
       "      <th>AreaShape_BoundingBoxArea</th>\n",
       "      <th>...</th>\n",
       "      <th>AreaShape_MedianRadius</th>\n",
       "      <th>AreaShape_MinFeretDiameter</th>\n",
       "      <th>AreaShape_MinorAxisLength</th>\n",
       "      <th>AreaShape_Orientation</th>\n",
       "      <th>AreaShape_Perimeter</th>\n",
       "      <th>AreaShape_Solidity</th>\n",
       "      <th>Location_Center_X</th>\n",
       "      <th>Location_Center_Y</th>\n",
       "      <th>Location_Center_Z</th>\n",
       "      <th>Number_Object_Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3726</th>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>455</td>\n",
       "      <td>1216</td>\n",
       "      <td>...</td>\n",
       "      <td>2.828427</td>\n",
       "      <td>19.091883</td>\n",
       "      <td>17.750090</td>\n",
       "      <td>42.509945</td>\n",
       "      <td>115.568542</td>\n",
       "      <td>0.712050</td>\n",
       "      <td>869.865934</td>\n",
       "      <td>15.789011</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3727</th>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>589</td>\n",
       "      <td>868</td>\n",
       "      <td>...</td>\n",
       "      <td>4.123106</td>\n",
       "      <td>25.938389</td>\n",
       "      <td>26.460138</td>\n",
       "      <td>-4.753822</td>\n",
       "      <td>90.911688</td>\n",
       "      <td>0.942400</td>\n",
       "      <td>843.555178</td>\n",
       "      <td>16.427844</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3728</th>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>781</td>\n",
       "      <td>1056</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>27.727243</td>\n",
       "      <td>27.828670</td>\n",
       "      <td>45.814967</td>\n",
       "      <td>106.083261</td>\n",
       "      <td>0.959459</td>\n",
       "      <td>1039.172855</td>\n",
       "      <td>26.450704</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3729</th>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1186</td>\n",
       "      <td>2250</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>32.979495</td>\n",
       "      <td>32.033409</td>\n",
       "      <td>-37.099203</td>\n",
       "      <td>158.438600</td>\n",
       "      <td>0.873343</td>\n",
       "      <td>612.931703</td>\n",
       "      <td>34.612142</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3730</th>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>605</td>\n",
       "      <td>1118</td>\n",
       "      <td>...</td>\n",
       "      <td>3.605551</td>\n",
       "      <td>23.717082</td>\n",
       "      <td>22.794544</td>\n",
       "      <td>24.008384</td>\n",
       "      <td>115.432504</td>\n",
       "      <td>0.854520</td>\n",
       "      <td>694.178512</td>\n",
       "      <td>29.251240</td>\n",
       "      <td>0</td>\n",
       "      <td>5</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4034</th>\n",
       "      <td>13</td>\n",
       "      <td>309</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1113</td>\n",
       "      <td>1652</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>26.674803</td>\n",
       "      <td>2.262531</td>\n",
       "      <td>142.710678</td>\n",
       "      <td>0.964471</td>\n",
       "      <td>1951.591195</td>\n",
       "      <td>1949.159030</td>\n",
       "      <td>0</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4035</th>\n",
       "      <td>13</td>\n",
       "      <td>310</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1376</td>\n",
       "      <td>2058</td>\n",
       "      <td>...</td>\n",
       "      <td>5.830952</td>\n",
       "      <td>36.050506</td>\n",
       "      <td>37.314089</td>\n",
       "      <td>-59.321420</td>\n",
       "      <td>150.024387</td>\n",
       "      <td>0.932249</td>\n",
       "      <td>1790.331395</td>\n",
       "      <td>1962.026890</td>\n",
       "      <td>0</td>\n",
       "      <td>310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4036</th>\n",
       "      <td>13</td>\n",
       "      <td>311</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>1306</td>\n",
       "      <td>2482</td>\n",
       "      <td>...</td>\n",
       "      <td>4.242641</td>\n",
       "      <td>30.678600</td>\n",
       "      <td>28.987561</td>\n",
       "      <td>82.359828</td>\n",
       "      <td>195.787843</td>\n",
       "      <td>0.734533</td>\n",
       "      <td>1745.076570</td>\n",
       "      <td>1971.641654</td>\n",
       "      <td>0</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4037</th>\n",
       "      <td>13</td>\n",
       "      <td>312</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>891</td>\n",
       "      <td>1190</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>31.592930</td>\n",
       "      <td>33.412651</td>\n",
       "      <td>-29.013929</td>\n",
       "      <td>112.325902</td>\n",
       "      <td>0.959096</td>\n",
       "      <td>1846.092031</td>\n",
       "      <td>1992.135802</td>\n",
       "      <td>0</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4038</th>\n",
       "      <td>13</td>\n",
       "      <td>313</td>\n",
       "      <td>F012_max_clean_Cyto.tiff</td>\n",
       "      <td>F012_max_clean_Nuclei.tiff</td>\n",
       "      <td>F012_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>791</td>\n",
       "      <td>1829</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>24.110476</td>\n",
       "      <td>23.034981</td>\n",
       "      <td>-17.256381</td>\n",
       "      <td>152.260931</td>\n",
       "      <td>0.814624</td>\n",
       "      <td>590.748420</td>\n",
       "      <td>1985.544880</td>\n",
       "      <td>0</td>\n",
       "      <td>313</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>313 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ImageNumber  ObjectNumber             FileName_Cyto  \\\n",
       "3726           13             1  F012_max_clean_Cyto.tiff   \n",
       "3727           13             2  F012_max_clean_Cyto.tiff   \n",
       "3728           13             3  F012_max_clean_Cyto.tiff   \n",
       "3729           13             4  F012_max_clean_Cyto.tiff   \n",
       "3730           13             5  F012_max_clean_Cyto.tiff   \n",
       "...           ...           ...                       ...   \n",
       "4034           13           309  F012_max_clean_Cyto.tiff   \n",
       "4035           13           310  F012_max_clean_Cyto.tiff   \n",
       "4036           13           311  F012_max_clean_Cyto.tiff   \n",
       "4037           13           312  F012_max_clean_Cyto.tiff   \n",
       "4038           13           313  F012_max_clean_Cyto.tiff   \n",
       "\n",
       "                 FileName_Nuclei             FileName_Soma  \\\n",
       "3726  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "3727  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "3728  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "3729  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "3730  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "...                          ...                       ...   \n",
       "4034  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "4035  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "4036  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "4037  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "4038  F012_max_clean_Nuclei.tiff  F012_max_clean_Soma.tiff   \n",
       "\n",
       "                                          PathName_Cyto  \\\n",
       "3726  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3727  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3728  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3729  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3730  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "...                                                 ...   \n",
       "4034  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4035  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4036  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4037  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4038  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "\n",
       "                                        PathName_Nuclei  \\\n",
       "3726  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3727  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3728  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3729  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "3730  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "...                                                 ...   \n",
       "4034  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4035  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4036  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4037  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "4038  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "\n",
       "                                          PathName_Soma  AreaShape_Area  \\\n",
       "3726  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             455   \n",
       "3727  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             589   \n",
       "3728  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             781   \n",
       "3729  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1186   \n",
       "3730  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             605   \n",
       "...                                                 ...             ...   \n",
       "4034  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1113   \n",
       "4035  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1376   \n",
       "4036  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            1306   \n",
       "4037  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             891   \n",
       "4038  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...             791   \n",
       "\n",
       "      AreaShape_BoundingBoxArea  ...  AreaShape_MedianRadius  \\\n",
       "3726                       1216  ...                2.828427   \n",
       "3727                        868  ...                4.123106   \n",
       "3728                       1056  ...                5.000000   \n",
       "3729                       2250  ...                5.000000   \n",
       "3730                       1118  ...                3.605551   \n",
       "...                         ...  ...                     ...   \n",
       "4034                       1652  ...                5.000000   \n",
       "4035                       2058  ...                5.830952   \n",
       "4036                       2482  ...                4.242641   \n",
       "4037                       1190  ...                5.000000   \n",
       "4038                       1829  ...                4.000000   \n",
       "\n",
       "      AreaShape_MinFeretDiameter  AreaShape_MinorAxisLength  \\\n",
       "3726                   19.091883                  17.750090   \n",
       "3727                   25.938389                  26.460138   \n",
       "3728                   27.727243                  27.828670   \n",
       "3729                   32.979495                  32.033409   \n",
       "3730                   23.717082                  22.794544   \n",
       "...                          ...                        ...   \n",
       "4034                   27.000000                  26.674803   \n",
       "4035                   36.050506                  37.314089   \n",
       "4036                   30.678600                  28.987561   \n",
       "4037                   31.592930                  33.412651   \n",
       "4038                   24.110476                  23.034981   \n",
       "\n",
       "      AreaShape_Orientation  AreaShape_Perimeter  AreaShape_Solidity  \\\n",
       "3726              42.509945           115.568542            0.712050   \n",
       "3727              -4.753822            90.911688            0.942400   \n",
       "3728              45.814967           106.083261            0.959459   \n",
       "3729             -37.099203           158.438600            0.873343   \n",
       "3730              24.008384           115.432504            0.854520   \n",
       "...                     ...                  ...                 ...   \n",
       "4034               2.262531           142.710678            0.964471   \n",
       "4035             -59.321420           150.024387            0.932249   \n",
       "4036              82.359828           195.787843            0.734533   \n",
       "4037             -29.013929           112.325902            0.959096   \n",
       "4038             -17.256381           152.260931            0.814624   \n",
       "\n",
       "      Location_Center_X  Location_Center_Y  Location_Center_Z  \\\n",
       "3726         869.865934          15.789011                  0   \n",
       "3727         843.555178          16.427844                  0   \n",
       "3728        1039.172855          26.450704                  0   \n",
       "3729         612.931703          34.612142                  0   \n",
       "3730         694.178512          29.251240                  0   \n",
       "...                 ...                ...                ...   \n",
       "4034        1951.591195        1949.159030                  0   \n",
       "4035        1790.331395        1962.026890                  0   \n",
       "4036        1745.076570        1971.641654                  0   \n",
       "4037        1846.092031        1992.135802                  0   \n",
       "4038         590.748420        1985.544880                  0   \n",
       "\n",
       "      Number_Object_Number  \n",
       "3726                     1  \n",
       "3727                     2  \n",
       "3728                     3  \n",
       "3729                     4  \n",
       "3730                     5  \n",
       "...                    ...  \n",
       "4034                   309  \n",
       "4035                   310  \n",
       "4036                   311  \n",
       "4037                   312  \n",
       "4038                   313  \n",
       "\n",
       "[313 rows x 37 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coord_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "06cef404",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "853 885 2 40\n"
     ]
    }
   ],
   "source": [
    "## select a few example cells => first 12 cells?\n",
    "fov = '012'\n",
    "soma = imread(f'{MP_CP_DIR}/F{fov}_{DATA_TYPE}_Soma.tiff') # mask image    \n",
    "mpscore = imread(f'{MP_DIR}/F{fov}_mp_score_max.tif').transpose(1,2,0) # 22 barcode channels # YXC\n",
    "\n",
    "image_num = 13\n",
    "coord_data = seg_df[seg_df.ImageNumber == image_num].set_index(\"ObjectNumber\")\n",
    "cell_id = 1\n",
    "x1,x2,y1,y2 = get_cell_coords(cell_id,coord_data)\n",
    "print(x1,x2,y1,y2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c1eb84ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2e48bb820>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Jaccard Index between otsu_threshold vs RNA mask\n",
    "plt.imshow(soma[2:40,853:885]==1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "2b900a24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2ac0ce820>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAANkAAAD5CAYAAACqEpBAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAAL4klEQVR4nO3df+hdd33H8ed7WX9s6mijXYhtWDvNJkHsV4hZZf7h2nXNhpAKInYw8kfwB1iYIGO1glPYoMK0+McQ4syagWvrrNIidV0WCyJI2lqzLDbaxloxMU2qbWmdrG3qe3+c84Xbb+9t7vee+77f3HOfD7h8z/2cc+/5HPJ95Zz7+Z77/kRmIqnOb6x1B6S+M2RSMUMmFTNkUjFDJhUzZFKx3+zy4ojYDnwOWAf8c2be9Erbnxvn5fm8qssue+cP3vKrme/z4UO/PfN99t3/8b88n8/FsHUx6d/JImId8DBwNXAMuB+4LjMfGvWa34n1+Udx1UT766t7fnZw5vu85vVLM99n3x3I/TyTTw4NWZfLxW3A0cx8NDOfB24DdnR4P6mXuoTsYuCnA8+PtW0vEREfiIgHIuKBF3iuw+6k+VQ+8JGZuzNza2ZuPYfzqncnnXW6hOw4sGng+SVtm6QBXUYX7wc2R8RlNOF6H/CXU+nVnFiLQYtpGNZvB0PqTByyzDwdEdcD99AM4e/JzO9PrWdST3T6O1lm3g3cPaW+SL3kHR9SMUMmFet0uXg2Wc0gxKgP+fM6kDENo47dAZHuPJNJxQyZVMyQScUMmVTMkEnFejO6uBqLPIq4Wo46dueZTCpmyKRihkwqZsikYoZMKjZxtapJbL38/Lzvnk0vax82UuUI4Hxa1FHHqmpVksZgyKRihkwqZsikYoZMKtZ1wonHgGeBF4HTmbl1kvdxJLE/LDf3ctO4QfhPMvPnU3gfqZe8XJSKdQ1ZAv8ZEd+NiA8M22BwwoknfvFix91J86fr5eI7MvN4RPwusC8ifpCZ3xrcIDN3A7uhueOj4/6kudPpTJaZx9ufp4Cv0cxZJmnAxCGLiFdFxGuWl4E/Aw5Pq2NSX3S5XNwAfC0ilt/n3zLzP6bSK6lHuszq8ihw+RT7IvWSQ/hSMUMmFVvIknCarUUvK+eZTCpmyKRihkwqZsikYoZMKmbIpGKGTCpmyKRihkwqZsikYoZMKua9i1ozi3JPo2cyqZghk4oZMqmYIZOKnTFkEbEnIk5FxOGBtvURsS8iHml/XljbTWl+jXMmuwXYvqLtBmB/Zm4G9rfPJQ1xxpC1FYGfXNG8A9jbLu8Frp1ut6T+mPQz2YbMPNEuP05Tg3Eoa+Fr0XUe+MjMpJl4YtT63Zm5NTO3XvTadV13J82dSUN2MiI2ArQ/T02vS1K/TBqyu4Cd7fJO4M7pdEfqn3GG8G8FvgP8YUQci4hdwE3A1RHxCPCn7XNJQ5zxBuHMvG7Eqqum3Bepl7zjQypmyKRihkwqZsikYoZMKmbIpGKGTCpmyKRihkwqZkk4nXX6VirOM5lUzJBJxQyZVMyQScUMmVTMkEnFDJlUzJBJxQyZVMyQScXOeFtVROwB3gWcysw3t22fBN4PPNFudmNm3l3VSQmG3241D7daTTrhBMDNmbnUPgyYNMKkE05IGlOXz2TXR8Shdv6ykfOTOeGEFt2kIfs88AZgCTgBfGbUhk44oUU3Ucgy82RmvpiZvwa+AGybbrek/pjoS5sRsXFgfrJ3A4dfaXupyjx8wXOcIfxbgXcCr4uIY8DfAe+MiCWaeckeAz5Y10Vpvk064cQXC/oi9ZJ3fEjFDJlUzJBJxSwJp146m0YdPZNJxQyZVMyQScUMmVTMgQ8tlLUYEPFMJhUzZFIxQyYVM2RSMUMmFTNkUjFDJhUzZFIxQyYVM2RSMUMmFRunWtUm4F+BDTTVqXZn5uciYj1wO3ApTcWq92bmU3VdlepUTmYxzpnsNPDRzNwCXAF8OCK2ADcA+zNzM7C/fS5phXEmnDiRmQ+2y88CR4CLgR3A3nazvcC1RX2U5tqqPpNFxKXAW4EDwIaBKsKP01xODnuNE05ooY0dsoh4NXAH8JHMfGZwXWYmzee1l3HCCS26sb60GRHn0ATsS5n51bb55HJN/IjYCJyq6qS0Fqb1Bc8znskiImjKch/JzM8OrLoL2Nku7wTuXNWepQUxzpnsj4G/Av4nIg62bTcCNwFfjohdwE+A95b0UJpz40w48W0gRqy+arrdkfrHOz6kYoZMKmbIpGKGTCpmyKRihkwqZsikYoZMKmbIpGKGTCpmyKRihkwqZsikYoZMKmbIpGKGTCpmyKRihkwqZsikYl1q4X8SeD/wRLvpjZl5d1VHpbPFsFJx26751cjtx6lWtVwL/8GIeA3w3YjY1667OTP/cYJ+SgtjnGpVJ4AT7fKzEbFcC1/SGLrUwge4PiIORcSeiLhwxGusha+F1qUW/ueBNwBLNGe6zwx7nbXwtejGCtmwWviZeTIzX8zMXwNfALbVdVOaXxPXwm8nmVj2buDw9Lsnzb8utfCvi4glmmH9x4APFvRPmntdauH7NzFpDN7xIRUzZFIxQyYVM2RSMUMmFTNkUjFDJhUzZFIxQyYVM2RSMUMmFTNkUjFDJhUzZFIxQyYVM2RSMUMmFTNkUjFDJhUzZFKxcUrCnR8R90XEf0fE9yPiU237ZRFxICKORsTtEXFufXel+TPOmew54MrMvJymWvD2iLgC+DTNhBNvBJ4CdpX1UppjZwxZNn7ZPj2nfSRwJfCVtn0vcG1FB6V5N26Z7nVtYdNTwD7gR8DTmXm63eQYI2Z6ccIJLbqxQtbWvF8CLqGpef+mcXfghBNadKsaXczMp4F7gbcDF0TEcgXiS4Dj0+2a1A/jTGd7EfBCZj4dEb8FXE0z6HEv8B7gNmAncGdlR6WzxTWvX3pZ28P5i5HbjzPhxEZgb0SsoznzfTkzvx4RDwG3RcTfA9+jmflF0grjTDhxiGZ2zZXtj+KcZNIZeceHVMyQScUMmVTMkEnFDJlUzJBJxQyZVMyQScXGueNDWkjDbp+ahGcyqZghk4oZMqmYIZOKGTKpmKOL0gj3/Ozg0PbVjjp6JpOKGTKpmCGTihkyqViXWvi3RMSPI+Jg+1gq7600h8YZXVyuhf/LiDgH+HZEfKNd9zeZ+ZVXeK208MapVpXAsFr4ksYwUS38zDzQrvqHiDgUETdHxHkjXmstfC20iWrhR8SbgY/R1MR/G7Ae+NsRr7UWvhbapLXwt2fmiXZapeeAf8FCp9JQ44wuXhQRF7TLy7XwfxARG9u2oJmb7HBdN6X51aUW/jfbySgCOAh8qK6b0nSMuu9w1H2K09ClFv6VJT2SesY7PqRihkwqZsikYn5pUxrBknDSnDBkUjFDJhUzZFIxQyYVi+brYjPaWcQTwE/ap68Dfj6zna8Nj7EfxjnG38vMi4atmGnIXrLjiAcyc+ua7HxGPMZ+6HqMXi5KxQyZVGwtQ7Z7Dfc9Kx5jP3Q6xjX7TCYtCi8XpWKGTCo285BFxPaI+GFEHI2IG2a9/yoRsSciTkXE4YG29RGxLyIeaX9euJZ97CoiNkXEvRHxUFtN+q/b9t4c5ytUzL4sIg60v7e3R8S5477nTEPW1gn5J+DPgS3AdRGxZZZ9KHQLsH1F2w3A/szcDOxvn8+z08BHM3MLcAXw4fbfr0/HuVwx+3JgCdgeEVcAnwZuzsw3Ak8Bu8Z9w1mfybYBRzPz0cx8HrgN2DHjPpTIzG8BT65o3gHsbZf30lT1mlttGcAH2+VngSPAxfToONsyh8MqZl8JLJekX9UxzjpkFwM/HXh+rG3rqw2ZeaJdfhzYsJadmaaIuJSmwNIBenacKytmAz8Cns7M0+0mq/q9deBjRto5BXrx95KIeDVwB/CRzHxmcF0fjnNlxWyaStkTm3XIjgObBp5f0rb11cmBIrAbaf5nnGvtzD53AF/KzK+2zb07TnhJxey3AxdExHK5jlX93s46ZPcDm9uRmnOB9wF3zbgPs3QXsLNd3gncuYZ96aytFv1F4EhmfnZgVW+Oc0TF7CM0YXtPu9nqjjEzZ/oA/gJ4mOY69+Oz3n/hcd0KnABeoLlm3wW8lma07RHgv4D1a93Pjsf4DppLwUM0VaMPtv+evTlO4C3A99pjPAx8om3/feA+4Cjw78B5476nt1VJxRz4kIoZMqmYIZOKGTKpmCGTihkyqZghk4r9P2Ghzy8EMypFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PCA \n",
    "soma_bin = soma>0.001\n",
    "plt.imshow(soma_bin[y1:y2,x1:x2]==1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "801359c5",
   "metadata": {},
   "source": [
    "## Classify Procode+ cells with Lasso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "3530eb7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removing 82 Cells\n",
      "636 636\n"
     ]
    }
   ],
   "source": [
    "# 1) Logistic Regression on barcoded dataframe, then do linear kernel SVM\n",
    "# remove outliers\n",
    "soma_df_train = soma_df[(soma_df.ImageNumber == 13) | (soma_df.ImageNumber == 213)]\n",
    "#soma_df_train = soma_df[soma_df.ImageNumber == 213]\n",
    "df_to_plot = soma_df_train[(abs(soma_df_train.LOGIT) < 10)]\n",
    "print(f\"Removing {len(soma_df_train) - len(df_to_plot)} Cells\")\n",
    "\n",
    "feature_cols = [\"X_NORM\",\"RAW\",\"LOGIT\",\"ENTROPY\",\"Overlap_0.1\", \"Overlap_0.2\", \"Overlap_0.3\",\"Delta\"]\n",
    "X=df_to_plot[feature_cols]\n",
    "y = df_to_plot[\"True_Label\"]\n",
    "print(len(X), len(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "e1c3b9fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "168"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soma_df_train.True_Label.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "38259729",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of logistic regression classifier on test set: 0.87\n",
      "[[126  15]\n",
      " [  9  41]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y , test_size=0.3, random_state=2)\n",
    "\n",
    "#X_train = X\n",
    "#y_train = y\n",
    "\n",
    "#val_df = soma_df[soma_df.ImageNumber==13]\n",
    "#val_df = val_df[(abs(val_df.LOGIT) < 10)]\n",
    "#X_test = val_df[feature_cols]\n",
    "#y_test = val_df['True_Label']\n",
    "\n",
    "logreg = LogisticRegression(class_weight='balanced')\n",
    "logreg.fit(X_train, y_train)\n",
    "y_pred = logreg.predict(X_test)\n",
    "print('Accuracy of logistic regression classifier on test set: {:.2f}'.format(logreg.score(X_test, y_test)))\n",
    "\n",
    "from sklearn.metrics import confusion_matrix\n",
    "confusion_matrix = confusion_matrix(y_test, y_pred)\n",
    "print(confusion_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "69e12434",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.metrics import roc_curve\n",
    "logit_roc_auc = roc_auc_score(y_test, logreg.predict(X_test))\n",
    "fpr, tpr, thresholds = roc_curve(y_test, logreg.predict_proba(X_test)[:,1])\n",
    "plt.figure()\n",
    "plt.plot(fpr, tpr, label='Logistic Regression (area = %0.2f)' % logit_roc_auc)\n",
    "plt.plot([0, 1], [0, 1],'r--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver operating characteristic')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.savefig('Log_ROC')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "279099f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.3123337 ,  1.06846965,  0.22042457, -0.4354977 ,  5.00741743,\n",
       "         0.34997895, -1.26902097,  0.36601476]])"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inspect model weights\n",
    "logreg.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "ec9338a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['X_NORM', 'RAW', 'LOGIT', 'ENTROPY', 'Overlap_0.1', 'Overlap_0.2',\n",
       "       'Overlap_0.3', 'Delta'], dtype=object)"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logreg.feature_names_in_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "078146aa",
   "metadata": {},
   "source": [
    "## GridSearch and more features?\n",
    "PC1 / PC2 ratio. Explore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "id": "d49c28ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 1])"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# predict all cells!\n",
    "# Find NANs in soma_df\n",
    "soma_final = soma_df.copy()\n",
    "soma_final=soma_final[~soma_final.isna().any(axis=1)]\n",
    "print(len(soma_df)-len(soma_final))\n",
    "X = soma_final[feature_cols]\n",
    "\n",
    "# predict infected cells \n",
    "y_pred = logreg.predict(X)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "id": "1fe3ceff",
   "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>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-4</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "      <th>MP_UMAP1</th>\n",
       "      <th>MP_UMAP2</th>\n",
       "      <th>True_Label</th>\n",
       "      <th>InfectedCells</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005333</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "      <td>8.274383</td>\n",
       "      <td>-0.655967</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000203</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "      <td>13.875708</td>\n",
       "      <td>11.552190</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "      <td>6.743976</td>\n",
       "      <td>19.614027</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004378</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "      <td>10.193657</td>\n",
       "      <td>8.133395</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</td>\n",
       "      <td>7.693904</td>\n",
       "      <td>17.100174</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003234</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "      <td>-4.482765</td>\n",
       "      <td>7.153024</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.032583</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "      <td>10.204902</td>\n",
       "      <td>5.165628</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "      <td>10.297348</td>\n",
       "      <td>1.767311</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "      <td>8.326226</td>\n",
       "      <td>4.388920</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.141081</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "      <td>7.098932</td>\n",
       "      <td>3.543230</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-4  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.005333   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.000203   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.001660   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.004378   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.002689   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.003234   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.032583   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.000056   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.005305   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.141081   \n",
       "\n",
       "        intensity_mean-5  intensity_mean-6     Delta  embedding1  embedding2  \\\n",
       "0               0.000442          0.002411  0.007052    8.919654    8.924275   \n",
       "1               0.006315          0.000928  0.009323   10.795541    8.218206   \n",
       "2               0.000317          0.014562  0.009024   11.490246   10.536827   \n",
       "3               0.062781          0.061092  0.025526   12.307695    3.216018   \n",
       "4               0.000070          0.001225  0.071709    9.866774    1.810647   \n",
       "...                  ...               ...       ...         ...         ...   \n",
       "133695          0.000016          0.000670  0.002336   11.176550   12.540327   \n",
       "133696          0.009312          0.031562  0.001021   11.251929    2.987429   \n",
       "133697          0.003363          0.064340  0.027823    9.917559    4.129629   \n",
       "133698          0.000244          0.010320  0.001827   10.905128   11.772167   \n",
       "133699          0.012467          0.004988  0.119821    6.712374   -2.731318   \n",
       "\n",
       "         MP_UMAP1   MP_UMAP2  True_Label  InfectedCells  \n",
       "0        8.274383  -0.655967           0              0  \n",
       "1       13.875708  11.552190           0              0  \n",
       "2        6.743976  19.614027           0              0  \n",
       "3       10.193657   8.133395           0              1  \n",
       "4        7.693904  17.100174           0              1  \n",
       "...           ...        ...         ...            ...  \n",
       "133695  -4.482765   7.153024           0              0  \n",
       "133696  10.204902   5.165628           0              0  \n",
       "133697  10.297348   1.767311           0              0  \n",
       "133698   8.326226   4.388920           0              0  \n",
       "133699   7.098932   3.543230           0              1  \n",
       "\n",
       "[133700 rows x 28 columns]"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# append the result to InfectedCells\n",
    "soma_final[\"InfectedCells\"] = y_pred\n",
    "soma_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "id": "98737681",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removing 10310 Cells\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot predicted QC-passing cells\n",
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(2,3,figsize=(15,10))\n",
    "axs = axs.ravel()\n",
    "col_to_plot = ['Delta','RAW','LOGIT','ENTROPY']\n",
    "# cutting off outliers\n",
    "df_to_plot = soma_final[abs(soma_final.LOGIT) < 10]\n",
    "print(f\"Removing {len(soma_final) - len(df_to_plot)} Cells\")\n",
    "\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "for i in range(len(axs)):\n",
    "    if i < 4:\n",
    "        col = col_to_plot[i]\n",
    "        df1 = df_to_plot[df_to_plot['InfectedCells'] == 1]\n",
    "        axs[i].scatter(df1['Overlap_0.1'], df1[col], s=0.1, color='r')\n",
    "        df2 = df_to_plot[df_to_plot['InfectedCells'] == 0]\n",
    "        axs[i].scatter(df2['Overlap_0.1'], df2[col], s=0.1, color='b')\n",
    "        axs[i].set_xlabel('Overlap_0.1')\n",
    "        axs[i].set_ylabel(col)\n",
    "        axs[i].set_title(f'Overlap_0.1 vs {col}')\n",
    "    else:\n",
    "        \n",
    "        df1 = df_to_plot[df_to_plot['InfectedCells'] == 1]\n",
    "        axs[i].scatter(df1['LOGIT'], df1[col_to_plot2[i-4]], s=0.1, color='r')\n",
    "        df2 = df_to_plot[df_to_plot['InfectedCells'] == 0]\n",
    "        axs[i].scatter(df2['LOGIT'], df2[col_to_plot2[i-4]], s=0.1, color='b')\n",
    "        \n",
    "        #axs[i].scatter(df_to_plot['LOGIT'], df_to_plot[col_to_plot2[i-4]], s=1)\n",
    "        axs[i].set_xlabel('LOGIT')\n",
    "        axs[i].set_ylabel(col_to_plot2[i-4])\n",
    "        axs[i].set_title(f'LOGIT vs {col_to_plot2[i-4]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "id": "92c7d2ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x3c0a59640>"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot UMAP of 5 images - embedding based on epitope signals\n",
    "fit, ax = plt.subplots(figsize=(10,10))\n",
    "sns.scatterplot(data = soma_final, x='embedding1', y='embedding2', hue = 'InfectedCells', ax=ax, s=1)\n",
    "ax.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "id": "71087618",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x3c15185e0>"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot UMAP of 5 images - embedding based on epitope signals\n",
    "fit, ax = plt.subplots(figsize=(10,10))\n",
    "sns.scatterplot(data = soma_final, x='MP_UMAP1', y='MP_UMAP2', hue = 'InfectedCells', ax=ax, s=1)\n",
    "ax.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "id": "f734d54f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.3281525804038893\n"
     ]
    }
   ],
   "source": [
    "print(sum(soma_final.InfectedCells)/len(soma_final))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "id": "3c1cc9d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43874\n"
     ]
    }
   ],
   "source": [
    "print(sum(soma_final.InfectedCells))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "id": "5be8a2d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['IER5',\n",
       " 'HSF1',\n",
       " 'NCK1',\n",
       " 'HTT',\n",
       " 'non-target',\n",
       " 'FAN1',\n",
       " 'MSH3',\n",
       " 'PPP2R1A',\n",
       " 'SLC25A11',\n",
       " 'GAS7',\n",
       " 'MAP4K4',\n",
       " 'DGKE',\n",
       " 'SNX8',\n",
       " 'MLH1',\n",
       " 'WASL',\n",
       " 'PGGT1B',\n",
       " 'RAPGEF2',\n",
       " 'ARPC3',\n",
       " 'NCKAP1',\n",
       " 'MINK1',\n",
       " 'PPP2R2B',\n",
       " 'HRAS']"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(set(soma_final.Gene.values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "f3627c9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['non-target',\n",
       " 'IER5',\n",
       " 'HSF1',\n",
       " 'NCK1',\n",
       " 'HTT',\n",
       " 'FAN1',\n",
       " 'MSH3',\n",
       " 'PPP2R1A',\n",
       " 'SLC25A11',\n",
       " 'GAS7',\n",
       " 'MAP4K4',\n",
       " 'DGKE',\n",
       " 'SNX8',\n",
       " 'MLH1',\n",
       " 'WASL',\n",
       " 'PGGT1B',\n",
       " 'RAPGEF2',\n",
       " 'ARPC3',\n",
       " 'NCKAP1',\n",
       " 'MINK1',\n",
       " 'PPP2R2B',\n",
       " 'HRAS']"
      ]
     },
     "execution_count": 302,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genes = list(set(df.Gene.values))\n",
    "genes.pop(genes.index('non-target'))\n",
    "genes = ['non-target'] + genes\n",
    "genes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "id": "478f120c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43874\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_list = list(set(soma_final.Gene.values))\n",
    "#fig, axs = plt.subplots(1,1, figsize = (20,10))\n",
    "df =soma_final[soma_final.InfectedCells == 1].copy()\n",
    "print(len(df))\n",
    "\n",
    "genes = list(set(df.Gene.values))\n",
    "genes.pop(genes.index('non-target'))\n",
    "genes = ['non-target'] + genes\n",
    "\n",
    "fig, axs = plt.subplots(1,1,figsize=(20,10))\n",
    "for i in range(len(genes)):\n",
    "    x_pos = np.arange(len(genes))\n",
    "    feature_name = \"Number of Cells\"\n",
    "    means = []\n",
    "    stds = []\n",
    "    for gene in genes:\n",
    "        mean_val = len(df[df.Gene == gene])\n",
    "        #std_val = np.std(df[df.Gene == gene][feature_name].values)\n",
    "        means.append(mean_val)\n",
    "        #stds.append(std_val)\n",
    "    axs.bar(x_pos, means, align='center', alpha=0.5, ecolor='black', capsize=2)\n",
    "    axs.set_ylabel(feature_name)\n",
    "    axs.set_xticks(x_pos)\n",
    "    axs.set_xticklabels(genes)\n",
    "    axs.set_title(feature_name)\n",
    "    axs.yaxis.grid(True)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bad9104c",
   "metadata": {},
   "outputs": [],
   "source": [
    "soma_final.to_csv('Coverslip1_soma_final.csv',sep=',')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9421affe",
   "metadata": {},
   "source": [
    "## Establish Baseline of Area shape feature distributions?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3677426d",
   "metadata": {},
   "outputs": [],
   "source": [
    "soma_df = pd.read_csv('Coverslip1_soma_final.csv',sep=',', index_col = 0)\n",
    "mpcp_df = pd.read_csv(f'mp_cp_output/MPFeat_SYTO_.csv', sep=',')\n",
    "seg_df = pd.read_csv('seg/SegFeatCyto_.csv', sep=',')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "16a22f8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ImageNumber', 'ObjectNumber', 'FileName_Cyto', 'FileName_Nuclei',\n",
       "       'FileName_Soma', 'PathName_Cyto', 'PathName_Nuclei', 'PathName_Soma',\n",
       "       'AreaShape_Area', 'AreaShape_BoundingBoxArea',\n",
       "       'AreaShape_BoundingBoxMaximum_X', 'AreaShape_BoundingBoxMaximum_Y',\n",
       "       'AreaShape_BoundingBoxMinimum_X', 'AreaShape_BoundingBoxMinimum_Y',\n",
       "       'AreaShape_Center_X', 'AreaShape_Center_Y', 'AreaShape_Compactness',\n",
       "       'AreaShape_ConvexArea', 'AreaShape_Eccentricity',\n",
       "       'AreaShape_EquivalentDiameter', 'AreaShape_EulerNumber',\n",
       "       'AreaShape_Extent', 'AreaShape_FormFactor', 'AreaShape_MajorAxisLength',\n",
       "       'AreaShape_MaxFeretDiameter', 'AreaShape_MaximumRadius',\n",
       "       'AreaShape_MeanRadius', 'AreaShape_MedianRadius',\n",
       "       'AreaShape_MinFeretDiameter', 'AreaShape_MinorAxisLength',\n",
       "       'AreaShape_Orientation', 'AreaShape_Perimeter', 'AreaShape_Solidity',\n",
       "       'Location_Center_X', 'Location_Center_Y', 'Location_Center_Z',\n",
       "       'Number_Object_Number'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seg_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fbcc3575",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot distributions of 1) shape 2) eccentricity 3) ConvexArea 4) neighbors\n",
    "\n",
    "fig,axs = plt.subplots(1,4,figsize=(20,5))\n",
    "axs=axs.ravel()\n",
    "cols_to_plot = ['Area','Eccentricity','FormFactor','ConvexArea']\n",
    "for i in range(len(axs)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    if col == 'AreaShape_Area':\n",
    "        \n",
    "        axs[i].hist(seg_df[col], bins=100)\n",
    "        #axs[i].hist(barcoded[col],bins=25)\n",
    "        axs[i].set_title(col)\n",
    "    else:\n",
    "        axs[i].hist(seg_df[col], bins = 100)\n",
    "        axs[i].set_title(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "106e31b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot distributions of 1) shape 2) eccentricity 3) ConvexArea 4) neighbors\n",
    "\n",
    "fig,axs = plt.subplots(1,4,figsize=(20,5))\n",
    "axs=axs.ravel()\n",
    "cols_to_plot = ['Area','Eccentricity','FormFactor','ConvexArea']\n",
    "for i in range(len(axs)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    if col == 'AreaShape_Area':\n",
    "        \n",
    "        axs[i].hist(seg_df[abs(seg_df[col])<5000][col], bins=100)\n",
    "        #axs[i].hist(barcoded[col],bins=25)\n",
    "        axs[i].set_title(col)\n",
    "    elif col == 'AreaShape_ConvexArea':\n",
    "        axs[i].hist(seg_df[abs(seg_df[col])<5000][col], bins=100)\n",
    "        #axs[i].hist(barcoded[col],bins=25)\n",
    "        axs[i].set_title(col)\n",
    "    else:\n",
    "        axs[i].hist(seg_df[col], bins = 100)\n",
    "        axs[i].set_title(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "130ffe33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iJ/Q7anxUIcTHhBCNoeVjpvXbhRDnQvv8sxBCLM6RKVYK6h5WKOaPpRaQuoAS0+/i0LrrkFI+KqXcIaXckZube8MF+/wBjjYOcLRxAJ8/cF2j4rDb2FORjcO+1KdIoVAoFAqFQrFUqGfCG+ZxIsREFUKUAHcD7abVEeOjCiGygL8AdgO7gL8QQmSG9vky8AnTfrHiryoWkeUi2Kh7WKGYP5b6LnoaeCD0tqEWGJFSdi90oYGgxunLw9SWZ7G/KgeX0xGxUVGNjMJguXSACoVCoVAoFh/1TDh3YsRE/UfgU4A0rYsWH/XtwPNSyiEp5TDwPHBPaFualPKklFICh4D3LeDhKOJkuVn9qHtYoZgfFvROEkJ8GzgB1AghOoUQHxdCfFII8clQkmeAFqAJ+Crw6wtZHwNDhXY5HeHGxNqomN3bFoNoZcVbh+XSOM9EtHr6/IFFrkn8LLcO8GZHnWeFQqFQKG5uhBDvBbqklG9YNkWLjxprfWeE9YolRln9KBQ3Jws9C9tHpZSFUsoEKWWxlPJrUsqvSCm/EtoupZT/R0pZIaXcIqWsW8j6mDEas0iD1UBQC7u3mbffyMA2WqwlY10kgSKSa120vCOlW8iB+FzyjnWcXz92Ge+kf76qN6+oDnDxUGKdQqFQKBQ3N0KIZOBPgD9fgrLnPaaqIjrq2VmhuPlYtXe1YWFkDFYDQQ3vpD88cN1flcP+qpxpQpN1YBtJsIklEJkFIaugZBUoDDe7nesyY4pdoDfORjojTaSyYuUxG6FsNoP8eOJKuZwOHqhdy5mOkXkXDuYrP9UBLg5KrFMoFAqF4qanAigD3hBCXEaPgfqaEKKA6PFRY60vjrA+IvMdU1WhUChWG6tylBYIahxu6ANg5zo9/t6z57r586fP8+ybVzjaOAAQFmSsIk8k8SmS1ZKx3uwyt6ciO7yvd9If3sdaP6NuLqcjvM7YJ5IFz+nLw+HA4N5Jf1h8AsLilVX4iSY2RUpjJt5BvnFOrCJSJNxJznkXDuYqdM1HuYq5o8QjhUKhUChuXqSU56SUeVLKdVLKdehuZ7dJKXuIHh/1OeBuIURmKHj23cBzoW2jQoja0OxrDwA/XJIDUygUilXAqhypBYIa9d1jeCZ8YeHl8uAEv3d3Je5EJ7XlWeF0hxv6eLG+j8MNfWERxhB89lRkA4RFiv1VOdSWZ+Gw2/D5A7xY38vhhr6wiGTkefryMNtK0jnTMRIO5G0WbI42DnC4oZ8jl/rDsYEcdhvbStJ5/HhbOE9rfg67jaCmUdfmmSY+7VyXyenLwwSC2jQRzBCkzPubxSGzAGQVRczWTjfyP8QjLs2V2Qhd8+U2pVywVg/qP1YoFAqFYmYixUSNkTxifFQp5RDweeB0aPnL0DpCaR4L7dMM/GQhjkOhUCgUq1RAcjkd3F9bwrdOdLCtJB2X08GDe0tp6p0Mi0fXRADB5NQUk36Nx0+0hQUdQxQy3McMIer05WG8k36OXOrnwpVRjDGmIT4ZlkGGNZLL6cDr8/PY0VZ8/gAOu43a8ix2l2Vy4coox5oG6Rwew+cP4HI6ePj2Mg7W5OHzB8J12bkuM+z+dbAmLzyznCFmGGmMOsI1t7czHSNsK0mnrs0THhAbAphBpFhMsYQScz6GG6DVoilanKl4mE36eEQpQ2iaD5aTC5YSOBYOJRQqFAqFQhEfkWKiWravk1IOhL5HjY8qpfy6lLIytPynaX2dlHJzaJ/fCM3GpljlqGe0pUWd/5uXpR/lLhEBTaNjeAJfQHf70q139P7GHHuoIj+Jlxr6CWqS+3eXhAWe05eHGRibCAtJW4pSqWvzhD/tNhsP7ivlQHUOPn+Ax4624vX5w25lz1/oDotAh060U5GTEhZuTrYMEdA0Nq5JpzTXxUe/cpJ/fL6BF+v7wmn+4uk3+fefNYWtkbaVpIcFIrPr3M51mZxsGcJht7GhMIVDJ9vxjPsApolYMN2l7evHLhMIatSWZ3GmY2RaLCaYHnfJKjYdbphuORUpBpQhLpnjTM00E1sgqIXd9BaiUZpJEIi3zGji0WI2pErgWFiWk1CoUCgUCoVCobiGeg5eWtT5v7lxLHUFlgKfP8BTdVf4w3uqeKNDtxLyTV0TPLYUpRIIarxQ38MTJ9u455ZCWge8IDRa+yd4+PYyNhSm8Nvffp0P71iLM0FQf2WMDYXpvN4xSm15FoGgxvHmIUAS1CRr0pJ4/FgblXlu/AHJf9dd5s2uMT66u4j1BWncVppGIKhxsmWISX+AQ8fbqSpIoaV3kns2F/GJA+t4rW0E0IWfz927OSzOfP3oZdYXprKrLJPHXm4FJFuKMzlYowcHDGoSnz/AE6c6+cD2Qr51qoOH95fhcjrCApAhihmD4of2rQsLS2brHMMSyuw6d+hkOw/tW4fDbgtbXoHkYE3edW5x5kG3efBtiFbmcs3bHHYbRxsHQiLf/L1YMluSxRIEjIZwrqLBXPY3uz7OFiVwLDzzfW5v5P9WKBQKhUKhUOio5+ClRZ3/m5tV+a8as35lJLkAQVDTePx4G/5AEM+Ejz9/+jxfPtwE0sam4jReaR3i3dsKaO4dx68FON48hMNmo6YgHYTEH9DQghp7KjLD4tHPGwY40zGE1xfg9Y5hzncPU5iVyIUuD439o7x3WzFlOS7+8KmzjExe5Ys/vshLF/vYUZrB2zYV8ND+dbxtYyG3lLjZWZaJy+HgYs8YXp+fE82DYREHoDwvGbvNhivBwZbidO7fszYsHh25NIAhuFyd0rjQ5aU6LzV8Q3sn/Xz92GVAd3MzXMusM78Z8ZK+fuwy3kk/oAtL7iTnNNHHbrOF3eysecQaILucjuvEI8PiyGwNta8ye1re5rSxiDU7ntnlLho32hDOdv/5UO5Vo71yUG9qFAqFQqFQKOYP9Ry8tKjzf/OyKi2QAkE90DTA7rJMfIEAIxNTBDV4rW2UovQkNhSkU1uRwdbSVL55vINvn2ynKjeNJKeDSX+Ao42DnG3vx24DmwCbsHG0aYBgUPDmFQ+tg2MIYGoqSNPgKF2DPpr6R6nMTcc/FeBS7ygbCjK4pTiTPZVZOB02Rn1XOd48xC0lbuoue9hcnMZnvneej+5cS0DTqMpP4dW2EfZVZtMzOs4//LSJ/FQXiQ7dXS4Q1Li1JI0nT3fx4J5SAC72jPLAnrU47DbsAvaaXNZ8/gBnOkZ4oHbtNAsfw5XPbDVjiB8P1K6lrs1DUJMcrMm9ThSy28R1AbaNfO02QW151jSXOfO+hihmdnvbU5Edtm4ygpfvr8q57v882jgwzR3Out1q/WN28TPvE0vkutGGcDb7r3TlXlnTzI6V/n8rFAqFQqFQKBSKm59VKSAZcYwCQY2fX+rjB2c6uNA5wrtuLeFX7ygjqGkEpcaffv9NbMJGljuBFy70kJ8+zI7STIbGp3jo9nUIm52CNCe9o1epKkihrtVD58g4A55xxvySNZlOxq5O4Z3QePemAp6oaycv2cWRxj6kptFe6qM0O4m/+nE9GW4nR+r72VuZw38c9jIyeZWyXDcf3FbM1tI0vnWqg5JMF0iNgfFJ/ui/z/G592+irX+STUVuXmkd5idvdpPvdlJdmMap1mEmp6Yoz03m1bYRtpemY7NfE3deuthHktPBjtKMsCubMRvcSxf7ogos7iR9lrqTLUNhlzsgLN7Ulmfpbmzdo2wpyuBgTW5Y8DHSG+WYXeaM7SeaB6cFGTeLUcYMd3P5v6OVYw5qfqNuavOBWXhZqWLCcjiPKxF1rhQKhUKhUCgUCsVyZlWOWLyTfo41DfBy4yDnu8YAG3dtWcOGNam80TEGCKoK3HgmAhRmJFJTkMrm4nRuLcqkNCuFTxws43PfP0eiU/BfJy9zvLmXEd8UL1/qoX/IizvFyfbSLN7sGOWlhj5K8ly81NhPcoKdId8Ue2ty2Lg2i+IsFzmJiUwEggyP+fmrX7iFS70jbFyTxi9uL6VzYJKqwhT+3/PN3LMlj8buMU5fHuIbx9pITXTQ2D3O9tIMvvdaD7vKMvn9t1fR4fHR0DPGpqIUXqjvIxgEfyDIK60eavLTQgJRPy/U97K+MJm6Ng+HG/rxTvpx2G14r/p54UIvL13s4/kL3Rxrut6txuV0hGd6swbCdtht2G02avJT2VeZHY4vZCxBTQsHCo8WmPv05eFwmd5JfYa6F+v7wqKV2dXHEFxmEpes5RjBw83lxbICMc++Z/6cT8zHNp/5zyav+Sh3Pme1UygUCoVCoVAoFArF8mDVCUg+f4DHT7ThD0gQGlV5qSA0kmw22gcnqSlMpq59gL/4n7N84YObWJ+fwY/fuMLeihw6PV7+/tl6vvTj83QOjzM05sdpk/SOTvGzC10kJthISnRwrm2EwrREpgKQIDSauieYQuMDt5SSleLkRMMAvcNeGro9/ONLjVy64iHV5eDvn62ndWCCtqFx2kfG+dCuEr7681ZuWZPB06914/FNca5jkI7hCQozksLHdN+uYk40D/FKswcNSdfQJA6bjf2VWSQ5HdhtAn8wAEhebhzE6RB8+p01NPZOsr4wORwDyjPu46m6K3z6XTXsqciivnMstN90YcEIag1Ms+oxRJh9ldkkhayarkdwqnUIf+Caq5o5b8PyCOBwQx91bR4e3KPPZmeIVobIY8zq5vMHpolO5vyiCT5G3cz5mddbrxkj9pN1Nrn5xBDQYOYZ4eJlNrF1zLPlmdfNFRXTR6FQKBQKhUKhUChuHladgORyOnhwTym3V2XjtDvwB4J0DfqoKHDzvu2FPHG8g9cvD3FVgj+g0dQ/RmKi4Lk3e9ixNgspQNOClOelkul2kJ3uwjsRpG/Uz5XBSdoGvaQk2vj+mQ6khAK3g6kpP10Dk3z1VDPPvtZNskvQPuins2+MgxsycNrtnG7tZ0txBvfXrmNsdIKnz1zhcGMPfhngSFMPOSmJXOoZ4f07Sri9Ip+BcT8jE1P8xdMXONwwyA9f7+TFhj5+865K3nXrGk42e/heXRcbi1LYW5FNS98EQanx5pURbi1JIyPZxYbCFP7hp83cVprO/bUlZKS49EDWDgevto0g7RK7sOP1+TnaOIDPH5gmphjiz+GGfg439HG0cYBAUAtbJlnFGIfdxsGaXPZV5uB02MKxi4z9zOl0rsVMOn15eNp2wx0ukrub2YrHCP5tCCORrHtmch0yZqVzJznDlks36p4VLai3cZzz5f41m9g6VguwGwnsrGL6KBQKhUKhUCgUCsXNxaob3RkBtI83D7G9NJ2eMR+fec9GLveP83+fbQC75N23rCXNlcBvfOMUDT2j5Ke5uGdjEee6R6lZk8LFK17OtI5yvHmMK/1jZCTD6PhVPAHoHodBr0ZhupPCTDuvdU/RM+zHBrzz1nzGJLQOBpkMwkQQ6jtG2V6cQ1qyi1H/VR57uZXivFTSEiRdAz4+ebCS9gEvF/s9uBIcJAgHR5p62Lk2m66RSUrSkyjPT2JkYorMFDtfeLqenWUZ7K/K4ta1WXzj+GU9+PXeteyvzKFzeJxDx9p5/nwPb3SM8ql7qnijY5RDx9vDs6sdOtnOrSWpfHxfGXsrsjh0op1Jf5CTLUM47DY+vGMNdW0eXqzXYyXZbYJ9lde7skXCcGUz0lpd4MwENRleb41hZM7P+LS6oRmCSF2bh20l6ZxsGZomdEW7Pqy/TzQPXndcNyoeRRJmrHWfL2aTl1kcm4+Z5+aCslpSKBQKhUKhUNwo6plSoZh/Vp2A5LDb2FqSxqW+MQCGJ67yyW/WMeS9Sn6qi3dsKeTk5X5aez2M+jUaugf5/ukefnqui+ExLy094yQ5BQk2SABaR3XRqGcCthe7cQESONU+Qc9gEAnsqc7mqgbfe6UHgFQ7uO1AELrGNC4OjpDigvb+q9xS6MLrk+yszqc8LxWnw0Zxbgrn2j282jpM++AYb3Z4ONbcy7u3FvC+nWv41FNv8Gfv3ciOtTlsKk7DFwjyesco79teyDOvX6Ft2MsTr3TisNn43L2beORgOU6HjaAG7kQn+ypzKM9L5lTrMA67jft2FfOfR9t5/FgbAJvWpHPn+txw8Oun6q6wLtcVPoeGa1k8GFZHhhuY8Z9ESnepb2xaOmO98duIexQIatPcyqwzrcG1uE2G0BWtblZhZyEsaWLluRwsdqzxohYTNZ29QqFQKBQKheJGUc+UCsXCsPSj1UUmENQ41zXG/btLANhXkcvvvmU9zf3jvHSxh9/6Zh3jV/2UFaaRn5bEuqwUEgXUdYzwatsEYz4YHJOMarpQZJAE+IMBfIAf/cR6Q9tOXRqkIM3BVOj3aFBfrkqoyHSwITednpEA2Rk2znT5eLV1kKMX+5j0+/mt/3oNz+hV3rl5DXdvzOe/Tl1mR3kmOe5EfvNbr3HoWBuJDsG5Tg9vXvHQ0j/GHzx1lvaBCRq7x9lUlMlP3ujlA7cVUNfm4UTzMC6ng32VOdhtgpMtQ/imAjT0eAlqoThGNhtXPBNU5qfgcjo4WJMbFmlcTgf3bs3nX3/Wwoe2F4ZncIsU3Dpagx3UdCswI4i24Vpm7Ae64PPw/rKIMYqMGEmnLw/j8wc42jhwXVBus9BktnAy3LNmsgCyrrdeQzfKchCKDJZTx6pc3xQKhWJlsZz6EIVCoTBQz5QKxcKw6u4ow63pldZhPvejC1QXpvDe7YX88p5y9pTl4pmcouHKKHnJSQQDUzT0jzMhdWuj8nwHfnSByAEgruU7CZzr9oVPqPE45QCGAtAxFCBZQJYDchP1bS67LiJdHBzBZQvyatMId67Pwm6DxAQ7Y74AazITqSxwc+hUGwM+H3dU53G6aZAe7yQFmU6CSHJSXbxU30/n8CSVuancVZ3Ht0+3Mh6Y4l23rOEju4to7J1kc5Gbn13sxevT4xftq8ymtjyLE81DyKBkV1kmRy4NENA0PvPu9bx1Q0FYOPrM98/xZz94k4GxCX7wWg+3V2Vzvms8HAsJCAs71+Ii9U8TkozPgzV5Yaslnz/AYy+3crih77rg1A67jaONA9P+P8OqyDyTmuEG53I6pu1r1McqPsWKYTSTWBRNfJrvmdMWi/l+O7MSz8FSoc6VIhbq+lCsBNQbfoVCsZxR4pFCMf+syrvK5XSwqyyTdJeTP/z2GT7z/TepKkwm2WUnNdmBXUg6h8foHZtCuwpr3SAFXO4NYEMXhwQwJa/P2/oIZcxn5QfGpS4maaH9PFchQWqkJybwlvVFjPng5xeHGPdDcXoypRkp2ISd4YkgmQkSjzfAeEDj43dU8baaNSQIB0fre9hTmcO6nGTetqGQX95byrnuMT6wvZiOvkkudI/w5KkuNhSm4E508sfvqOZo4xB/9sM3dbEoqHGhZwQE+AIBfnS2kz//wQUeP9rGSxf7eexoK75AgLdtLOAv7t1IRrKLB/eW8vZNhfiDAb5+9DIv1vdytHEAr88ffpD0B4L68Ztm9jraOMDhhv5r5yYUcPvBvaUcrMm7Ttjx+vzTz6UlQLZZGIpkBQVMm1XMus9MxOvSFi0Y+EpgPt/OzMdAYrUMRlbLcSrmhro+Fhd1nueOesOvUCgUCsXqQkgZQQVZ5uzYsUPW1dXNef9AUOPZc918/412+sau4vVexW63s6konZ7RCU5d9s6cyTzgQBeYXECyC676YDy0LU3AqIRit2BHVR5vXB5CIthTnY1nLEB2WiKtPaOcujxKbWUqG/OzSEiwUZ2fyjPnrjAyHuD929fQMeCjPC+Vy4NeNE2yqSiDht5R1mam8M5bCnDYbTx/vheQ2G02gjLItrXpnO/ysq8yB+9VP9862YF/KsgjB8t5tc2D3WajtjyLY02DbC9Nx2Gz4QsEeKruCg/UrsVht/HokZbwzGWGcOPzBzjZMkRteRYnW4YAPY7R6cvD1z2AesZ9fOmZBj51TxU5qcnT/jvQhaFID61mkQjA5w9w+vJweHax2Tzomq2ZZpPWWoeZ9rvRB+/5yGO+yogn3UxpFuN4lgMLdZxCiFellDvmPeMVxo32E0vNarkPlhpDrFMiiGI1ofoJnZXeTygUCsVCEaufWJVPS4GgxvkrIyTYbNy2NpOHDlayeU06Pz7bR1vfBAD20LKg9Qh9+oAhH9SUukkCqrMSeOQtFdSWuklKtPHyxX7eUp1LpstO/+gU3oCf4xe7GZ0KUpXnJMnhpHpNKhsKMkhKcPA3H7yVv/vILTgTbFQVpJLktFGdn4aww86ydO6vLeHK6CTeq7qFj9Mh2FOhu87tKc+msXeSfZV6oOk3u7yUZafQNeLjRPMwQU2yucgdPoZXWod59EgLT5zq5L5dxeGYSJvWpIfTWANZG59bS9IiupMZcap+7+4K6rvHwxZHVve1eMQjl9PBznWZMd3WIv43phhK8WCNvRSPS9tysdiZz3rGIx7NlNdqGcStluNUzA11fSwOyoJGoVAoFAqFIn5W7RNTosPO7RX5DI8FaOgZ5bX2QZJsMHFVIwEIhpbFQgBNV7xMAi1DU3znVAtdg16GJzU+dc8G/vPUFVxJCUz6fUxOauwqK+B9W9ayNieNNVkumnu9gCQY8o/75ok2vvxCI2e7ddFnf1UWlTmpPHGqk9faRnjftgK+9EwDA94JQPBK6zD+gOTVthG2FKXisNs4fXmY2vIs3nXrGr74vs3cuT6XoAZ/9cxFjlwaYF9lNgeqc7m1JJMH9qzF7XKGxYHdZZkcOtkedh8zMB7Sff4AX3qmAe+kf5r4YrBzXSaNvZNsK9GFKMNNzmrpY46vZBYmvJN+vn7sMt5JfzhwtpWZRIy5Ck5G7KWZhKT5GrjMlEesOsQr6MzXAEsN1hQKxXJDtUcKhUKhUCgU8bFqn5o+sruInrGrfOKOMs62exgcC+LVIC/DTnl2EpvynYtSjwTALXR3NnfI5MmdAMlJCZTkpeKbkvzg9TacAqRf43y7l9urcjnV3M3/vtnB7oocOod8gA2vL8jZTg8nWgaxSxt7anJJkDbOdQ3zYn0/zf1e7ttdjN1m40KXl/xUF0+dvsL2Ul2ksdtgZMLPoRNtDHgnwrOaGbGK9MF/Jn/27o28ZYMes8jldLC7LJNzXWP4/AG2laRz+vIwDrst7M5mxecP4E5y8ufv3oA7ST/P5lhJJ5oHw8HOz3SM4PMHuNTrZUdpxjQByhx3yCxMBIIaZzpGeKB2bdjyCMA6S9xcLHfiEYPMVlLWciPtN1fisZKaKT5TvILOfA6w1GBNoVAoFAqFQqFQKFYejqWuwGLj8wd49EgL41cDNA+McLFnmEHvJEkOmPCDZyjIgJxclLrYgCmuBeO+4oNEwDMFY/1+AlMBxqfgfLuXpAToHB3HZoMXz3eiORKY0iTHGns50+rhgT3r+MpLTaQnJ/KLu4uZvCq5POilLDeJn57vo2vYR1FmEu5EJ7vLdJeujUVuclKScNht2G02NhWl8FfPXGJPWQ6/9+Qb3Le7DKdDcOHKKBvXpBPUNH56oYe7NxaypyKTjBRXWKzZUpTK48fbqM53s7cim5MtQ2FrqIM1udMshh493MIjB8vD4hFMnzXNLMQY3x/cW4rLqV+ugaAWto4yWy9ZZ1uD6bGSzELJTMKJIbzsr8q5zj0tHvc5owzz8URLZ10Xb+yTeMQfh93G/qqcafVRKBQKhUKhUCjiRcXlUygUBquuJXA5Hdy3uxhNagjsZCQ7GZmUDPhBAiMSMhOupV9IO6RINilXQ5+pDpjwaUhA2iE/PYFUl4OCjCTWF2VTluPmlrVpfOodG3nL5gK+9PR53rq5gIAW5Is/rudwYy8f2LGGPRXZVOWm8jtvryIlMQHvVT9fPtzC5aExPnnoDAPjk/j8AfwBjbMdY5SkJ7G/JpPt63K4oyaHvRXZbCnO4EB1DrdX5XD3pnyCmuQL/3sx7H62pyKbjBR9djanwx4WLXaXZWK3CWC6xY+GJBDUrnNvA66zqDGEp1OtQxxtHAjvYxZOolnYGFZM0QJbG+sj1SMS0QQbw2oqWj6R4iMZWNfN1jIqXqEpllCmZntSKBQKhUKhUERCPSsqFAozq84CKRDUON3qoXNogqnAFH1DQZLsMBXQxZspYHjqWnp/tIwWAAdQlAE9HshId9AzqAsSVdl2El1JNPZ5SRIBTjQPkOaU1HdqtPdP0jU4gctlp7V3gsHRq3j9Af7pl27j75+7hBaU7KvJ4X9Od/FLe0o42TLET9/sxD+l8dFdJfzXiU4SbAKbXXB/bQleX5AfnOnh4/tLcdhtnGwZYl9ldvj7nTX5BIIad9TkhGdWM8QJd5IzPKua4X5mthIyrII2FqbzclM/zX0TPHx7WdiyKLZFjWBrSdp1s7ftXJcZtrAxMKyHzGkizcAWCGocbuinvmeUh/dfq4dRF7P1kXm9tazTl4fDrnuxrJOsbnbGOkPkmvkcXJ/njWItbyW9YVpJdVXERghxD/BP6HMXPCal/GvL9geBvwW6Qqv+VUr52KJWUnEd6h5UKBSKmx8Vv1KhUJhZpS2BoCDTRWufl9fbhhi+Cu4llNKMou+qycSVkEBSArQPBvChj6bOdQd5rXWUwJRGfk4S/qkA6WnJ5KQmcanbwy3rMijOSqHXO8EHd6/lV++sICs5gYK0JAJS8rMLvbzwZhdPnGqnqsBNaU4qDrvEaXfQPTLJfXuKub+2hJPNw7zc1Mf7thXgdjk52TKE1zcVdj0Larrl0KGT7QQ0ja/8vJmv/LyJF+t7w28lzLOd7anInibKgD7gOFCdQ1JCwjS3NGNbpIDPxu9X23RByhB2DGHI2MdqBWSuQ6SOz2G3cbAm9zrxyLzdXH7E/26GMqxvbQzxyBxg2xrkO1IHHctq6UaJZSG1XFlJdVXERghhB/4NeAewEfioEGJjhKTfkVJuDS1KPFpi1D2oUCgUq4flKh6pPkihWHyWZ2uw0AiNssxUsOnRq7fkOxmNz4tpQTCki+cahukamMIzpQfXTnNAWZaNKUAI0ILQ0TfJrxyswjsZYENRGtVF6ZzrGOH2qhwENo5fGuDSFS+fe/oCNiG4s7qA8hw3v3pXFWVZqfzF987jsNn4xd0ldI1MsK8il1PNI3zjRBtvdHrYW57D917txucPsLUkjefre/iPl5t54UJvOKbRA7VrcSU42FKcwYP71oWFJWPx+vwcbugHpotCL9b38tjLrQDsr8qZJtr4/AEON/Tz6JEWDjf0h4Ugnz/A6cvD7C7LxB8MTBNgDBHpZMsQJ1uGwlZARv7mzi5ax+ew2yKKR+Z6RXI7sxItmHWktzbWgNtWCyArkUSoaGLVjbCS3jCtpLoqZmQX0CSlbJFS+oEngfcucZ0UM6DuQYVCobj5WEmCjHqRsTxR/8fNz6p78gsENeq7xjje0k+qy4l/Cto8fpZQP8Jn+u6VuniU7oLRACQl6H9Sog2kDe7fUcEd63PpHfXz6uUBijJTKM5OYvu6LBIdNvZW57AuL5nB8Slykpy0DY3RNTLJ/soc3C4HW0syuHNDLs29k5Rlu2kZGOOn9VcoSHXxZucwdpugKs/NqdYhHDYb92wq5Jd2l9DU78UfCPLY0VaONw9xrGmA3WWZOGw2nrvQwwsXejnc0Mez53r43I8u8Fr78LSZ0nz+AHbb9GDYRqNviET7KrN55EA5+yqzOX15OLx+W0k6AU3jZ/X9eCZ8Ybc0Q/zZX5UTFqTMwkyk+ELRrJsiYVgHmeMoRbN0MruhWfOOZ4Yzc96RYjlFEqGsZcXTic60faUMBmfrOqM6s2VNEdBh+t0ZWmflg0KIs0KI7wohShanaopYzLa9UPehQqFQLF9WmiCjXmQsP1baNaSYG6vujnM5HTx0+zrefUsxd6/PZ0qC96oeQHu5MAUk2SHVDk39GjvWuvjSh28lzQE/PN/Bk6fauXNjDgVpTs62D1PfOcJnf/AmW4sz+GFdBy83DHBXZR7fONlCSXYyJRkp1F320D/qpygnieNNg2wqSsHtsrO+IJ112Sm4XQ4+sruU9OQEbq/KwR+QnGodJqhJznZ4qclP446aXDYWprO3IougBnVtHhx2G2/flE+S08HusizcLgd/9I5qblubGRZ3dpRmcKpVtwyKNFOaVRAyC0E712VyqnWY1ztG+eN3VFPfPc7OdXreVoHmaOPAdefSHHPIGmx7pkbO7J5mpAXCrnOGiBQIapxsGbpOqIqWtyGsWethrm+kusQink7UOAcrvVGf7XGozuym4EfAOinlLcDzwDciJRJCPCKEqBNC1PX39y9qBRWxUfehQqFQLG9WoiCzkuq6GliJ15Bi9qy6fzcQ1Hi1bYRhn49vn26jKA3EUlcqAm3jkOqysyYdLvf5+L0n32BoEm4tyaRzeJL2gQlOXB6n1zNJopD87t01dHp8ZLhdrMlMYsDnZ/2aVPZWZmMTcLx5kL965jxfe7mFrBQnZ9rG2F6agdvl4Jf3rKV1YILd5ZkcrMkDoL57hE1FKbQMjDPpDwASh91GUNMtP5wOG7XlWbicDt62sZDdZbqos6M0g4vdE7p1UqjxqGvzALC7LHOa0GIIOzvXZQJcN7gwBKGgprGjNIOc1OTrBJ1oFkVmUcawVjEslaIFrI40sImU1uV0TIu/ZC0/lhhkiE2GO6A178VucFfDYG65dGar4VzPkS7AbFFUzLVg2QBIKQellMYklY8B2yNlJKV8VEq5Q0q5Izc3d0Eqq5gby+U+VCgUCkV0VButuFHUNXTzsyr/YX8gyMsNA5RmJNM5qs++ttxIEVCYbqd7BPp84JdgtwNSMDgygc+nIYCKPBcJLhd//O3TPHuuk4J0J5sKM7AJweh4gP860Y4/IElNdPC+rcVU5aeyvsDNm1c8HG0cYnJqipcvDeL1+fnbZxvx+vwcbx7icv84ZzvG+PDONbQOjHOhexTPpI8X6nvxXvVPi2EUCGo8fqKNF+v7eLlxAH9Ao67Ng88fIBDU2F+VE57JzYx30s+jR1o4cqmfky1DUd3ALnaPcap1aNoA3DoYcdht4VnXjHRWYcos0FgH85FiHVkx72t1lzNmm4tHDNpflcPBmmuD2/mYySiet/vWmeVWqkVAtBnyZtpnsVnIwOc3GaeBKiFEmRDCCXwEeNqcQAhRaPp5L1C/iPVTzBPqoVKhUCiWN+o5RaFQzMSqe5pz2G3sLMtgeNyH56qP4FJXKArjEs5c8ZOeDNsK7OwqTaI4O4nW/lFEguDVK15cAhITkvjTd2+kpiSHB2+vIDXBid0OH60t5pf2lOGw2enyTFCTn8a+6hzec0shHQM+pgJBznd7eKNjhMdebqHLM8kf3lOF2+Vkb0UW7966httK02nsneTBfaXU5KdyvmucfRU5PPlK17Tg2C6ng4f3l7GrLIPmgXFuKXGztSSNY02DPHqkGZ8/wMkWPW5SbXkWoHdQdW0e1hekcaA697qg2oZI4HI6eGj/urBllNl1yToYMUQdgMMNuigFXGdlZI5jZHya3ehiYRYCzHmahatos6iZrZOAaXWYbYcdT5ykSEQL5j1T/suNxRqIRjsP8cSaiifwuQKklAHgN4Dn0IWhp6SU54UQfymEuDeU7LeEEOeFEG8AvwU8uDS1VSgUCsVsEUJ8XQjRJ4R407Tub4UQF0Ox7b4vhMgwbfu0EKJJCNEghHi7af09oXVNQog/Nq0vE0KcCq3/TuhlhGKWqJddCoUiHlblaMblcPDOzcX0jU4tdVWmYf4zXOiudYNeuDQQ5OKVSdr6JsnJSKRzYJLUBEhMgDfbh/mNb72G1xfgf053MBaY4n/PXuHT332TfVVZ/OLuIgbHJrDbwW6zcVtpJpuKM0h02lmfn86vHizjPz62nfdvK8HtdHK4oZ9TrcPcVprOU3VX2FaSjivBQcvAONtL08lyJ/Lg3lICQY3DDf3hANkOu41zXWN8aHshf/vsJR4/2samohQ2rckIW+gYzoKGiLK/Koe3bMi7zjLIHOz6aONAOH6Sgc8fmBbE2mqZBGC3iWlWQUY6s3uZITiZP2fCHLvJus4sDkSyPjHKNVsqmS2Z4iVWsO3ZEmmf2Yha8/mQsVweWGaKkRWvtddMgc8V15BSPiOlrJZSVkgpvxha9+dSyqdD3z8tpdwkpbxVSnmnlPLi0tZYES/L5b5WKBRLyuPAPZZ1zwObQ7HtLgGfBhBCbES3RN0U2uffhRB2IYQd+DfgHcBG4KOhtAB/A/yjlLISGAY+vrCHc3OiXnYpFIp4WHUthOE21Tk6TnlW0lJXZxrGY3aqTf8eBBx28Adgckp3tTtz2cPHb6/glpI0pqagMj+VskwHVflp3L9nHQ4BpdluPrKzlICm8eTJDhB2NhWncbbTwx985yxbStz84s5iGvo8PP5yG/9Td4XbStM53qy7tAU1jTe7vDxQuxZ3kv4SZ31BKq4ER9h16OvHLhPUJJuL3GFLn53rMslxJ/O5ezfz4P5SvvdaD9tL0zl9WReA7DYR0cXLsMQxgiMfbujncEMfALXlWdhtIjwI2VGawdePtfLo4ZbwPpEG81aLJsNiyFq29TNerGUa8ZyMsswztUVza4tUdjyDrfnu4K1i11ysseajDsvhrZfVwswchN1gLtZeCsWNsNT3xVxZLve1QqFYWqSUR4Ahy7qfhixQAU6ix78DeC/wpJTyqpSyFWgCdoWWJilli5TSDzwJvFcIIYC3AN8N7f8N4H0LeTw3M+rZZW6ofk6xmlhVrUQgqHG8WY+l09A5Rl335FJX6TpyE2BMA3/ot01CWU4Cd1RnowE5KU7sNkHH0ASJiYKmnjG80k7HkJe2oQmOXOonIINsKnHzpR830DY4zi0lafz49R5KshNJTbbzzeMd/NWPL9I2OEF5nhsBHGsc4o3OYS51e9lVlsmOUt1yyHA/C2pwsmUobG20aU0at5Wm8cSpTkYmpggENY416eKPw27D7XJy365iMlJcYUsbI0+YPsX9znWZYRHKiJdkt+llu5wOasuzONkyxIv1vbicDh45UMFD+9eFBSKri5p1NrZIbmeRMFs+xUoTKfi2VTSyztQWT4c8m8HWXDv4maxpzJZR1n3m6jYXq/xYeS1FZxwptlak/0U9YCkWi5Uswqi32QqFIk4eAn4S+l4EdJi2dYbWRVufDXhMYpSxXqFYFFZyP61QzIVV91TndNi4b08JCYmwJnmpa3M9/RavOiGgbWCKc1eGKEqzIW0aR5v6SU1yApLU1ATu27mWRKed92wtpDwnjdYBL//8XBPZ7kTu2byGTxwo5yO7inil2UN5dio1BW4qct187t5N3L0pn4f2r6Opf5yK3BQq8lI52jTAo0da+PcXGzlyaYCtJWk4HTY2F7k5dLKdQFBjX2UOb3Z5Kc1O4khjHwPjkwQ1yaQ/wLGmAZ4/38u3TnWEBSefP8Chk+14J/1h1zfvpC6TmYUYY5azHaUZPH6iLSwi7SjN4GLPWLhxPtMxgs8fCItFkcSf2cSfMYQnc4ylaGKLcUzm/YCwEHa0cSAsjJljI83UscznYCtSWdGEkFiuVtZ4UbNxm5ttoPJI5S6ViGT9rQbBihvhRq7jma6/ucbpWizUfaNQKGIhhPgMEAD+a5HKe0QIUSeEqOvv71+MIhU3Oeo5UbHaWFVXusNuY0dpBq9e9tDS66VvYqlrpJNnCfVnR/9jEgG7DTJcMOaVjF/V6B+Zwmazce/WYkrSXNxelUfP6CR9QxP84ZNnyMtIYMKncf++tfSP+ZiSAf76J5c41TzCWzfl8Sv7S8lKcfHIwQpcDgePn2gDwB8M0NI7TkOfh4tdY1TkuqnIdwNwtHEIfyDIGx1j3LereJrIc9f6fH737kr+3/PNTE4FaOr1sr00gySnnQf3lIbFI4fdxkP71uGw27DbBFtL0sICUaQZ1Bx2GxsK0sKNscvpYH1BKsB1LlZm8Qd0KybgOssag2iWRvurcsJxk6KJLVZRyIzLqbv4GW5+5vhGVgulaMyXeBRNfLFaTkUqM5LANNtYTVaxaDauceZyl0tnvFzqoVh5zIcYGks8mmucrpud1XzsCsVKQQjxIPBu4JeklDK0ugsoMSUrDq2Ltn4QyBBCOCzrIyKlfFRKuUNKuSM3NzdaMoViVqjnRMVqYlVd7YGgPvNXMAhFGUkkzhwzeVHoC/mrZYeEpCDgFHCgKpOCLCdBIfADwSmwCcn2kky+c7IVT0DD4YBej5/3bC+hIj+V7SXZlOel8KffO8u430+CcLC/Moum/jGQgidf6WJriS7MnGodYl1WCr5AgO4RHx/ZU8yWNVlsKknDbrPROjDBxqIUfnaxG19wCn9A45XWYQ439IVjST16pIULXeP86bvW8/ZNhWwJBd02Zls73NDPo0daONygv+U52TJEbXkWbpfzOoHICE4dCGqcbBliX+V0AcHpsE8TNAzhySrcQHQBIpqlkTHYMsShaPtbhRSH3XZduYZoZvw2PmOJT/NJNHcw8wxwsxl4zjZOVDSxKN5A5dZylyuLHWRcsTKZLzE00rUULe/lJsAuNkpAUyiWP0KIe4BPAfdKKc2vdJ8GPiKESBRClAFVwCvAaaAqNOOaEz3Q9tMh4ekl4EOh/T8G/HCxjkOhUChWG6vq6dKwQLrY7aHhyigytjHIojPo1wNop9jBJ+GFxmFsQrCnJpuURLiqwYFNeZxsGSIgJekJgtLsVKRN0jbspSTLzabiNJr7xinKSiYpIQFh07jcP0lZtpsdZelMBSRHG4c4cqmfSb/G+SsjPHGik8KMRF5vG8XpENxemUuS005lrpuG7nHuqC6grd8HSIIaBDUIaBo2m6Ai143dJnC7nLicDnaX6fGKjlwa4PETbWwvTeeRA+UcrMnFYbfhD2hhkcVYZyaa1ZBVqAkENXz+wDTBJ5rlkBkjH7OlkVmUslo2Rcsj1m+fP8DXj12+bqa4eK14rEGt48FqVRUt8LP191wGnvG64rmcjmnxoW4m4hmgqkGsAq655t5oHtGupWh5x7IsvNlZ7QKaQrHcEEJ8GzgB1AghOoUQHwf+FUgFnhdCvC6E+AqAlPI88BRwAXgW+D9SymAoxtFvAM8B9cBTobQAfwT8nhCiCT0m0tcW8fAUipuC1fScoLgxVt3TlcvpYE1mEoN+mGB5nAC76fuYBuNB/bsEEh3Q1D1GVZ4LBNyzoYjX24cYmwyQmpLAM29c4bY12ZxrG6Wxb5R/fK6R29Zm8rcfupU/v3cDb6kpYErT+OmFKzx+tA3fVICLV0YIapKgpoGQfHh3EVuLsmkZGOfWkHXS7rJMkpx2tpdm8PbN+Ty4r5Q71+eFaiV5tW2E+2tLcLsSwpZCgaDGmY4Rasuz2FWWwYN7SjnXNTbNKudS31hYWIkUI8cQHsxikRnDguhwQx8nW4bYuS5z2nbD0geIGc/ICHAdyc0qENTwTvqvE4HixeV08EDt2rC1TbxBvK1p43V7m8mqypoumuuaQTyxouIRkczC0UIO5pZDsO25plHc3MyXiHij19Js6nGzPECq+06hWD5IKT8qpSyUUiZIKYullF+TUlZKKUuklFtDyydN6b8opayQUtZIKX9iWv+MlLI6tO2LpvUtUspdoTx/QUp5dbGPUXHzcrP0i7FQLz0Vs2FVPmGlOBPJdIATWA63SUgvIgFICn3fnCU4sD6NoB8u9l7FMy7xS/jGiVY2rUmjKD2BzuEpkhNtnO4cJC3ZgZACDcknDpQB8DfPXMLr92MTNoSAKTQ6PeNUFbrZU5FFY88YHYMTfLfuCnsqMnlgz1qeONXJVw438/OGASb9QQ6daOeFC31861QH3qt+GnrGuK00PRQTaZSgJqcdy56KbAJBjS/878Vpv72Tfs50jHD/7hLOdIyEBRojkLZn3Mdnf3Qh6qxlZjFCn6ntmstaNBEoqEUWU6xxfYBpQgfoQbrNIlAsIglhZzpGZhXE23oODdEtkttbtPhNsVz4DLdA6/+1kJjrMN+DuVhCWaR0C0G8sZwUq5f5FBFvJI9466EeIBUKhUKxnIgUamGxy18N/aJ66amYDavyKrHbJWvzEvAvdUUsTAGOkDnSm0OSUxdH2Vedjw3ISEngXVty6Bya4FLvKDUF2eSkOLALO3mpiSBgZMIHGvgCQR4/2sZUQON44zDrC1L5/Ps2sz43gwS7XoDDZmPbuky+8P7NPLy/jFfbPLgSHDy0bx0P7i2lqX8Mp8POh3euwe1ycP/uEt7oGGNK0zjZ7KGhZ4ztpRnYbYIjl/rxTvrDIozL6eCu9Xm4nA58/gBfOdzM149dZltJOhkpLvZUZONOcvJA7drwbGqvd4yG94mEIaYYDdvpy8Ph9WbXLDBbu4hwgx9tpjFD3DALHcZvd9L06OZWSyDDSshq+RMp/k88A7dIrl5WtzdrR2ZYUVnLsFo7Ga57kdwGZ4PVlTDScVjTzzdWi65oHd5q6fQVy5vl8jAWj0ubeoBUKBQKxXLB+hy3FM91q6lfXA3HqJgfVt2V4vMH+OEbHZy9MsUyiaEdRgBjIXMkl4BbSlNoHPSSmyx4pcPLuY4RbivJwj8FTX0j/Nl7t5DosNE34iPBZqdqTSoI+NrLl5nSNH7nnip+Vt/Ds+e7CWgax1v6OViVz6VeL8ebh9hemkFGiguAc50ejlwa4HjzIK4EBxsL09hVlsF3X+1ma0kaGSkudpdlsnlNBk6HoKbQjdvlZHtpOhe7xzjVOjRNNEkKxb+pa/OwsTCdB/asxZ3kDM+6BkyLOVRbnhVykbuG1eomUoBrI020qeaPNV2bnS1SvgYzxT0yxzUyiz1WFzlD6DILYdHc6MzbY7l6WYUg87FHEqsinQdj3xvpHGZyfVusjt3amcdyxVtJnb4SulYOS/1G9EaZS0wlhUKhUCgWk0jPe/P1XDebflv1iwrFdFbdHRHQNLyTGqWpgmUWQxvDuagkA24tdtE3cpUkYcNhk2Qn2UizS1yJDoqyExm5GuCHZ7qQSAozXexam83rbaNkpSRwpL6b9sFxzraPcFULMjA6iS+g8Y7Na7hzQzZ2IfD6pjh0vB3vpJ9TrcPUFKSzqyyDiz1jeK/6cTrsBDSNkkwXJ5qH8U76qWvzYLfB3opskhIS8Pr8nOsa46H969hXmRMWTQwrFSOW0YHqHF7vGJ3mtmZY7hxrGuTF+j6OXOrnWNMghxv6wi5vxgDHEJ2sQaCNPODaDF8712VysmUIgIM1uRysybsu+Ha0gZM55pA1jcupW2cZLnPmMneUZoTFLbPQZc0zWuyg2bp6WTtSq1gVSVS6UeIRhxZTsIm3jJXS6VtjXymWL7HeiK6U/26liatmVso5VigUCsWNM9PENXNBWagrFDfGgj89CiHuEUI0CCGahBB/HGH7WiHES0KIM0KIs0KIdy5kfVwJDtavSWVyavFiwcyWDg9c7PHRPxrgxxcGkDYbuakOhN1Ge5+X1r6rrM12E9AkWW4nZy4PcrJtgH0V2ZRlpuBOSeRgdT4aEofNRvWaVP7lhWY2FqXwZpeX6vw0mgfGKM1JwhcIENQ0nA4bDpuNqjw3T5zqZH1hMl/40UV+fLaL/z3bycuNg+wozcDpsIdFk2+d7GBbSToOuy0clNrA6iJmfL9vVzF1bR7AiGWUTVDT8Ackt5akYrfpwbYPnWxnW0k6gaDGY0dbw7GSog3UIlnHmF3SzOmjiSuRYiOZcTkdEWMLnekYCZ+H2b4tmcmqZyYidaxWUSle4hGHZluf5cZyfVgwn1/1ULO8iXaPw8r67+J1Q53t9oVEPfQrFAqF4kZZyS9RFIrlwILeOUIIO/BvwDuAjcBHhRAbLcn+FH0qzm3AR4B/X8g6+aYCnG8fpt+3kKXMHSOIdroTrmpwd3UWtdU59HunGPHBsNdLVWEK+RlOXq7v5sjFbro8k0gJhVnJ/PvhRrqHxvH6/Rxu6GdNRhLDEwEeuaOM74Xc0WorMpBBuHBljC/870X8wSC7yzKpa/OwpyKLqvwUMpJc3Lk+j8rcdO7amIfdJnA5HdSWZxEI6lPSbyhMDYtH20rSp1nemF29DBe1ky1DvNrmCQdyNhruC91jPHehm2+d6GBHaUbY2sed5MRht1Gdl8rxZt2qaFtJOnAt6PX+qhwCQS3sXmaO0WONE2RYAR1rij6L2EyWSsbxmN3OtpWkh2M5mfOw5mmNHbRQg6F4O0Sri2A8dYnktrdQxJP/bOqw3AefkQRIxfIk0j0eybXWzHK97szEE5Q+Wru4GKj7Q6FQKBTzwXLoR1bCc4FCEYmFvnt2AU2h6TX9wJPAey1pJJAW+p4OXFnICjlsNtJSExALWcgcMIQjoylpH9e/n24b5o3mIWRAMuX3MyEdbCpKo7F7HISNqwFIdTrYU5bNG20ebi3N4M6aNXy3roPasmweOVBGUXoy33utE6/Pz9HGIQ4dawe7ZGNhGn/8jmqcocDaQU3jlVYPjb3jBIIabpeD9YVuXA4ndpsuxLx0sZ+vHG4mENQ4WJMXttYxB3v2+QM8eqSFF+v7ONzQh88fCItPB2vy2F2WCRAWon71QBl/9f4tfPKOClxOByeaB6e93d9bkcWlvjG8Pj+HTrYTCGrTXL4MwcnsQmcMdLyT/rBLl1EHu+36AZ7ZqimaG1ik4M0AdW2e6wQ0a97W4NhGPa2DoVgDt/nEOhA0YjfF6lCtA+SFFGPiyX+2dVisweeNnpPl8FCjmBvR7o3ZXKtL+UA50z0Src1aTGFW3R8KhUKxPLhZBZDFOK7l/lJToYjFQj+JFQEdpt+doXVmPgvcL4ToBJ4BfnOB60Sq00Vu0szpFpNJIAG4tTiFVDuk2iHbBhNXJU3DAew2SExO5L5dJaS5nOSkJvIfv7KLuzcVsacyn4FxP3vKc0l02NlblcPDByvoHbnKieZBejyTtPVP0OXxEZRBNhSlUpOXTv2VEc60j/Bmp4dTrcPsq8xhb0UW9+0uxp3kZHdZFq19E9htsLssi+PNQ1zoHkELSnxT14JhmwUSQ1xZX5DG3oos/AF9+viBsYmwm9vjJ9p4/nwvRxsH8E76OdMxgsvpiOgiBuBOcvLw/jIyUlw8ULs2Yqwgaxwgh93GlqJUTrUOTwtqbY5ZZFgMGbGUjBhF0dzAYgVvjub2ZqSL5TZnrne0t/vW+EnzIVJYXfGiCWCR6htp//kkHrFnLoLQYohH6oFgdRPpfo/3Wl2s62cmd9VYRHObVcKOQqFQrB5u1uedxTou1XcqVjLL4ar9KPC4lLIYeCfwTSHEdfUSQjwihKgTQtT19/fPuTCX08En7yxndBm5sBkyxRQgNcnaHCdpKQKfDQoy7RQmQ6LTRnGWk7bBSTQ0OgbHdXGmuY8TLf1MBKZo6B2hfWCC9UVu7tlYSEWem6beCf7oXTV84f2buXtjIe5EJ7dX5hLUJGc7PWxYk8rm4sywVdBXft7MF398Ee+kH5fTwZaSdPaGGjinw8Yv1Rbz0O3reOKVznAw7JMt+gxsQNjiyOnQ/8Lm/nEq85P4659cYktRKu4kJ/fvLsHpEOwozZgWP8hsDWN1hXM5Hfj8AeraPLxY3xfVhcIQW7yTfg6daOdcl2daGnPMIvOsbvurcqa5mEWzCrKWa3aZg+tjNAWCehBwc5DtSPkYeUXrTILa3KwZYjGXAW6k/eNxe7nR+t1ImsVEPRCsLqJZHEYSY+OxNFyM6yeSIH2jLMb1Pp/1vdkGPAqFQrHY3KzPO4t5XDfbuVOsHhb6yu0CSky/i0PrzHwceApASnkCcAE51oyklI9KKXdIKXfk5ubOqTKBoMaL9X387bMXmVhGMbSN0NNJQH3vBCmJLnw+SUGanY7hINvLcpkKSIbG/Lx4sZd3blnD/up8vvtqB5qEwFU//gD0e3384u61fO4Hb/Kzi71c6B7l8qCXb5/q4EjDIE39XnaXZRLQNDo9k3xgZzE/qOsmqGmcah3Ce9WPw2Hjrg35YSuffZU51LV5ONkyxOYiN3/3XBMOm40HatdS1+aZFjjb5w9wvmuU482D4VhGD+4tpal3krvW5+N2OfH5A7zeMQqI8KxpZzpGps26ZggSnnEfjx1t5XBDf1iE2VqSxqW+sWkDAPO+BoZb2ycP6m5xxqAJ9NnT3EnOaVYC0SxpzOKIzx8IzyJnxmqVY+xjxFwyC2zRZnmz5mXF7HY3U6yVuTJTfnMZ9N6sb6gg9vlQ3PyY73MzM7mDWu+JWEJTpO2rkflsR27mNkmhUCgWk5v1eedmPS6FYr5Y6DvkNFAlhCgTQjjRg2Q/bUnTDtwFIITYgC4gzd3EKAYOu43qwmTa+0aXhemVlUnAG4TX2kcJSrBLBwlAU5+H+3atoyjLzb7qLP7mmXoCQckb7R4+uGMtfmHjVFMfeWmJdHsmuaUok93lmSTabXz6XeupzkvncGM/Mqjh9ft54pVOHtizlreuz2djURq3V+Uw6Q/yxMlOPrKriLduzA+/QXc5HWHrHHeik7vW54cbVn8gSF2bhx2lGRxrGqSuzcN9tcXYbTZOtQ5xtHEg7DL2tk35AJxsGQrFQsoNxy8yRCRj0GUMwM51jXH/7hIO1uSGXcQyUlw8vL8s7F5mnrHN2Hd/la4/nukYiSgMGUKJ2UrA6sZmTmvUy+V08EDtWs50jMS0SjLHXDLOndk9zxwvKh4cdj0Iubm+CxGHKFZ+M5UVTTyaSVxaCJTvumIxMNqGky1DYUtJmNkddDaxxBbiOrNaTUZjOV3b8/lG+GZ9a65QKBQKhUKxGCzoE5SUMgD8BvAcUI8+29p5IcRfCiHuDSX7feATQog3gG8DD0opF8Q+yOcP8L26KxRkJrF8Ho2v4QCK3fqfku2G4at+EoDLg1P8x5FWfFMaA14/mSkuCpIT8foCvHi2g4Mbc3n4YCXVeWl0j1ylstDNmbZRpIALXeO4XXY+/c5qHry9lO/WdfOB2wpwJTg4dKIdEAQ0jZaBcdZkOfluXTeBoBYWTQyLIMNVDSRHLg3w2MutANSWZ+FyOrDbBFtL0qjvHmdfZTYHa/KumyFt2rGarF3MgbiNsgxh6VzXWHid8cBvjk1knrHNnLc5yLUxoNtRmjHNWshqgWR1YzP2PdkydF1do7lvWeMnWeM1RXKRi+vaiBBzaL4HQrHym21Z5vOymJZJy8F3fTkNvBULi8Nuwx8Icqzp+hhqM8XvMj5nG7R6vuodi+UokM7nOVhs8Wg5nUeFQqFQKBSKG2HBn6KklM9IKaullBVSyi+G1v25lPLp0PcLUsp9UspbpZRbpZQ/Xai6OOw2SjKTaez1LlQRN0QA6PRCbVkq6/KzcWqSMWBHZRKuBOjsG0ELCm4pdHPo9GU2F6YzEhCcbhriUu8IP3iji9zURJp79fhIH9u7lr0VWewuy+KpV67wWtsI63KSeOr0FbxX/awvSOO20jReaR3mwzvX0OOZ4kM7CjnVOsyxpgEGxiY43NDPo0daONY0wOYiN0lOB7vKMthSnMGB6tywQFJbnsW5rrGIbmGaJjnVOgTAjtKM8Bt7q/BitgIyZm7buS4zPDizuo4ZxBoMGMG9DSunWFYC8Q6qrGVbB3ix8olluRRvuWbXmdm6sc2UNporn3lbPGVEG/hGcsObT5bad305DrwVC0cgqOF02NlXeb34bGyfiZmu1aWwlFFWOvPHzdQm3AzHoFAoFAqF4sZYVU+HDruNPVWZJNmXuibTSTB9twGXesfwTk4yOAWJQFFSFulJCWwtz6Vj0Mt3z3TisGl4AwF+cUcJ1QXpbC7K5P5d69hemgkIfnqhm68eaQ1bCq0vTGVXWSZv3VBAcUYy3zrRwfCkj0PH2/nRG12c7fByf20JF7sn8F71M+Sd4q+eucj20nQeOVDO7rIsnjzdxdaSNM51jbGvUh9cnGgeDAs7hnh0tHGA58/3hIWET95RwcGaPABOtQ4T1GRU4aW2PGuau5bDbsNus7G1JI1DJ9uvs2SaKZ6QUYbVcihS+ebgskY5Rp3MVk1WkSXeQaN5IDGbQYW1XMN6yphJLtKU4TOVH4sbGfDEsjyKZK21ECzloFcNvFcPZstGw0XVWD9TrLO5lLXYqGt4frhZ2oSbSQhTKBRLi2pHlg517ueOOnfXWNlPNLMkENS40OXl/beWLXVVpjFl+m4HeibgYucEtxalsiY7kb7JcYqzUzjb7mFLSQbl+amsL8yiIDWJF+v7KEhPonPQx8GaHO6ozuMXdxexJiOZBGGjMj8Fr9+PLzDFt0524Jn0cfhSL9lpCfzgtS7uva2Qd25Zw4HqHDJSXGwucvPTN3s40tTLgao8XAkOXE592VCQhtvlDLtoOew2tpWk85WfN/NvLzVxrEm3ktlaksbPLvbhmfBxonlw2oOz3SbC4pNViDHcxcwP3IZrWUaKi4f2rZuWlxFYO1bAWqvLVzx4fX4eO9oajmtijT1klB0pEK5ZhIpUF/NxzTSoiGUdZXb7i+VSF638WNzIgGc+3eBWGgstjCmWF4aQa42JBswp1lk0rMKzsc78uZAs9wem5V4/iM+6dblzs7ffCoVicVBi9NKhzv3cUeduOqvqSSAQ1Djb4eHl9gHSlroyUZgCUgRgg+KcFIozXazJSqIoy0VAC3KycYBP3bOeP3pXDUlOB++/rQR3gp2P7C7icMMg//5iI5966hwdQ+N8aHcRSBu//e3Xee58H/fcksfZjjEK0l1cGbrKlqJ0fvx6D/6AFnaFeq1tFJsQ/P7bq3n75oJp4olZ+DHW+QIBujyT1OSnsbtMF3IyUlz88Tuqqe8eZ1tJelhUAcIBpQ0LH/PbegPzQMm83rB4Mgs7RrDqWFhveiP/SAGzd5Rm8HrHKNV5qVGFHnPZxrmYjTWRkcdM4tFMlkVG2VYrrpliqkQrz/w9nkFCtOONJ/bLXFmuDXcs4VBx82IWiQzLRbO76XwIB8Y9DdNncZxPC6dY9VvOD0xLVb/5LG+5n2MzSjxSKBQ3ykKK0SuhHV1K1IuAuaPO3XRW1VlwOR2857ZCevrHGF3qyoQoMilZiaHPcQkjU/DTsz2cuTzC4fo+jjf2U5iWTHKinVNNQ3zmf87x8/puhF2jdWiCn18c4MnTbRRlJbOpKI2izCSePtPNjrI0dqzL5o6qPP7tZ814fUG2lmSxbW0Gv3VXNe+7rZAjl/rx+vw47DZ2lWWwNjuFp8/0ALpbmtfnD09Hbx4kecZ9PFV3hc+8ez1v3ZgXfhPv8weo7x5nQ2EKdW0eXmroJajpcdGN7UZgbbM7Fugxko5c6uexl1vxjPt49EgLhxv6w6LGtpL0cFqreBTtrbz5pjcLVkadDHz+AGc6Rqgtz+ItG/Kui+Vkzc8cKNtqMRWLSKKZ9RgiuctFEpQiDTxmG4fFnE+8g9KlGPSspIGWYvVgtCuHG/o42TI0TViOxWyFZ3O7M58WTjOVuxwemGKJ1Ytdv/luh5bLOVYoFIrFYqHEI/WMODOqr5k76txdY1WdCe+kn395vgm/1F3FlgNdo1CQAtkJoAE5yZDrgrQEcCdCog1K0lPwjAe52DVKbWUeQxNTfPGDW7hjQwG7y7PpH71KU98Y79hcQNfQJP1jPlwJCXxg+xoudk/widvLeMeWAu6ozqd1aIxtpansDb3R/pcXmtlXlc2rbSP4/AHOdY3xK/tLeWDPWgBeuNDL539cz9aSNGrLs8LWN9tK0nm9Y5T7dhWTk5ocHsyAPo39lqJUnjjZyeYiN4294+wuyyQQ1GdkA3ho37rwrGvmfevaPIDgwb2luF1ONq1JZ3tpenhAdqZjhJ3rMsPlmEUjQ9SyunvA9Jt+57rMUDnXsFo0zTawrfV3LGsUs2hmdUsx130my6J43eBm6lDNFg4zuQTOpuz5xlzP5YYhHKrOZfVh3Ft2my08K+Vs7rt4rALN+5g/55tYZc53vvFun+lcLvY9txBtn2o3FAqFYjqzFYKUGK9QLB6r6i5zJzn5g3dUc3tNLsGlrkwIO9AzDoNTuvvawAQM+yA9yUFxThIpiTaqCjP4f/fdxlUNEEHed1shdc0jdAxPcKZ9mAy3gy6PjxMtg2wsTuN37q7mo7uL+F5dN5NTU7zSOszx5iEQGsEpyV8908B/vNwMwNs3FfKW9XmAbo2zrSSdJ0518tUjrbx0sZ9LPWMcqMrFYbNxsmWIky1DbCtJx+V04A9ovN4xep2b2c51mbgSHGhIXA4Hm9akh+MoGcKRMcgyZlwz3rDvKM3A6bCFRZzdZZk88UpnuAyzwGMWEwzrpCde6WRbSTpAxLghRkym/VU5HKzJneYGZrYqMrB2YPP1ZsMsmpmDTlvXmYkWVyhWvWYT9yjaOYi1z1K86Vmub5jUQ8vqwmhbDJc1wz0XrrWDxj0yW/EjHgFqvt+2LtTb25nyjUcgWspBwUKJagqFQqGIzFz7o9m8kFmOrJR6KhSr6inIO+nn7569xGttQ0tdlTCFyde+J6H/IdkucDk0znVOkpLspGt0jJeb+nAn26jvGuMLPzrPP/3sAleGx5mYhOrcNH7/nmqcdhvr16TyG4fq+PyPL7Au18We8mxAENQ0WgcmeOjAOj537ya2rNGFmL0VWbzeMUpQg2NNA7icDj68cw2JCXZ2lqWzuTidJKeDU63DYSukujYPPn8Ap0MXfE5fHsY76Q+7ZRnBtLcU6bMTGbGTgGnihOFGZrjGGRZGO0ozwtvdSc5w8GyzG52BuYMx0rqTnBHFGPOgzljMLlvWOEeRYidF6tAiCT0zubEZ6ayDo2hxl2Ixn2/oZ5N2KcyFl3owqVDAtWsfmOa+at5uzJJ4tHFgTvGxZrrO5/teWKh7K564bPEc61KgXCIUCoVi8ZnP/miltOMrpZ4KBawyAcnldHCwKp8Els/N2Tlx7fudG7IpSYORq6BJyZZiNwkOB+sy0yhISuHerSW8Z1sxb9tUwMaidHLTkjje0sfVYICW3kkO1uSSk5xIYbauSkkpeKXVg90Gt1flUJOfxptd3lBpkkBQ43jzELXlWRyoziGogWfCx/de6+HDO9dQ3z3OgepcDlTn4A9oHDrRjm8qgD+gUdfmCbtr7FyXyanW4bBrWX2PHmHqYE0uQHggBdfEFp8/wKGT7ewuy6S2PCvcSRjuZS/W94VnQjMsjvZX5UxzE7LGNjLc4cxxhIw8jTRWt7dILlvmRtwq7kQKqB2twZ9tYG3z+ZnJLc26/1KJKvGUO5MVxWy5WcQj9ZCwsokkHBkYFpEup+O6dmsmDMvMSOsjlRNPfvFizi9SjLa5MluX4OWCEqwVCoViaVjuL0fmm5VST4UCVpmABHBVBugclTMnXERSQ58v1g/SPgrpDmgeljT2eAlqGjnuBP7+hQbS7DYeO9xCY4+Xezat4a4NedxRk0ff2FU2FqVwrGmQK6OTXBnycWdVIUkJDoKaxvbSDBx2G0lOO5X5SXzt6GUuXBnFM+njf8914ZvSZzW70D3CE6c6+cBtBVzsnmBbSfq1AZLQKM1O4tW2Eew2wqKP8WbdEI1cTgcP7y+bJroY8X6Mt/GG0PNA7VpcTgcnW4bClkCGUPSWDXk8vL9smsWSURdrbCMjgK3hDmcOCG1YLRlucla3t0guW+Y6W7E27NYG3xy/KFpHMFdXjlhpZnJlm2/MFhjxpItUr9X8tmU1H/tKx3rtR/oPDYHc7J4bLW2sfKxlzvZ6MfaLJgZFy8880cFsWWnX9Ez1VQ/zq4uVdv0qFIqZWSnt+Eqpp2L5slh92Kq6UgNBjbb+cZKWl37EGFCeBkHgQ1uzGZ4CB/CZd2/G5wvSOTJBQWYCfVNTSC1IYWoyF3tG+c9jl5kKBkEKXA47+ypy+erPW9lflcNbN+WwqyyThp5RHjvcypFL/awvTObvn20kGNS4f08JZ9pGmdI0DjcMUNfm4f7aEu7bXcz5Li/eq36ONw9xtHEAr89PfecYrf16MOx9lddiffgD+oX64J7SafE/zG4bkWYL8vkD1LV5plncmN/oO+y2adZEBsaAyDvpnxZbxBzA1hCJTrYMsaM0g9ryrGmWR0a9Ygk5M81wFE0QOdzQz+GGvutc4qz1j1a22aIqUlkzCVOxBovzyWxiK0VLN1MeN/ODvHrTtHKxxjcyhGsD4943TxRgrI9HTDVEdPO1MdfrxSyGR2tLI9XHHK9uNsx0jMsNJeQqzKjrQaFQKBQrlcXsw+J6GhVC/KYQInOhK7MYBIMao0tdiQi0jEJJOjxfP4gfEMCXfvQmkwE/NmzcuT6P3aWZfPWh3Zy94iEYFKzLTibBlsD+6mxeaxshyWnjj95ZzY7SHL51soNXWof5yO5iHAk2/AHJK61D3LUhn61rs3AnOnE6bNxZnUfb0DjrC5N54lQnh4634/UFaOodByQ7SjN4pdXDhuJUHr69HIfdFrYmCgQ1znV5eOzlFk61TncNqy3PCscBMgZFDrsu8oAu7gQ1eV28IHMekaaUN1xDHj/exov1vRxu6AeuBbA1pzVc7aK5nhkil3XwFy0mUqQ0kW5W630bjwBkdluZKf9YsUSiDRatZc1H4xLvYHYusU1upBFcKQ//SjxamVhdYa1x3I42DvBifW84baQg+VYixUKLlGYuRGtzZhKlZisexcpzuQ7MlZCrMKOuh/gQQmQKIXYJIQ4Yy1LXSaFQKFY7i9mHxVtCPnBaCPGUEOIeIYRYyEotFC6ng3tvK2K5GCAlhj4FkADkpKaQYLPx7o055LptjPqhf0zSPOihd9TPmbZRnj3Xy97KLBIcUJyZzIsNPXzv1U6GJ3y82TVK3WUPW0rcbCxMI6jB+S4v99eWMKVN8dTpLnaUpbO3QrfUubUkje6Rq3x4ZxGNvZM8sGctGwrTSHLaeXBfKW/ZkI/DbuNC9whIgcNuC8/CZrh3bS3J5OHby8Mzmvn8AR472sqxpsFpIo0xuDp9eRivz09teVZ4H4DDDX0cbujXLZ4m/WHXs0hTyrucDh6+vYwD1bnYbfqlaLYGMCyAnA5b2NXOPDAzxKZI1knxxDkyWyBYLaf2VWbjdFyzIJqNAGTebs5zNo1BPJZT0YL6RrN6uhHmms9cG8HlOlC92RFC2IUQf7fU9VgMrPfnwZpc9lflhK+5HaUZXOwe41iTLghbr2NrYP54mOv1PJOr6Uz311zKnYu14VKyHOukWDrU9RAbIcTDwBHgOeBzoc/PLmWdFIrZoJ4PFTczi9WHxVWKlPJPgSrga8CDQKMQ4ktCiIoFrNu8EwhqXLwyttTVCDMV+pSAHWjuH6d6jZuUFDtZyQmkJuhpLnaOs60wi3OdQ/imAjR0j9ExPIEm4Z5NhXzotnW09E8wdnWKH79xhT966hwbi9zYbbo1zMmWIdoGfPz1hzZzvsvL48fb8Iz7ePJ0F+U5bs60jeqCiM2G02EH4PUO3U7LYbexsTANu+3apeJyOsIBYg/W5IaDXBvbHt5fFl5vDiDrsNvYUpTKF/73IkcuWYPEinBA7TMdI2ELJqtVkXlAZHX1MCyc7DZbRDcQA4fdhnfSz6GT7QDXiVTWeCWR4hxZRSfzuTFmpjNbHcQjGlmPxVqfeLHGY4pUjvXczGT1NBduNJ+5NIJLOVCdz4eSlfaAI6UMAvuXuh7zSaz/wHyPGeL1o0daONzQj8vp4JGD5eyrvNbuRWpLYt1z0SweZ0ssi6B4jn8+xdiVOjBfafeiQrHA/DawE2iTUt4JbAM8S1ojhSJO1EtGhWJ+iPuJTkopgZ7QEgAyge8KIf7vAtVt3nHYbVQVuJe6GmHcJg+BKWDcDz1DY/zsXC9uVyIIKEwRCCFoG/ViQ1Kc7ub8lVGy3E5ONQ9SmpuEsAdp7BvjzS4Pd60v4O8/cguvt40Cgo1FKVzsGqOmIJWclCT2Vebw4N5S3C4n9+8uYXOJm2fP9+CZ9IVnRXvLhvxpM6PtrbhmVVNbnkUgqIUDxALXxd0xC0pm6x+AjBQXn33PRvZWZF03oDC7mxl5RLP+OdkyFNGKxhBwIu1rEAhqnOkY4b5dxWGXPGMQF81yKN54JEbeZlFqPly9IpUz03YjsLj12Kz/ibEumtXTYlsRzZZIItliM58PJSv4AeeMEOJpIcQvCyE+YCxLXam5EM9/YJ4UwGG3sb4glX2V1+4hs1ubuY00twuR7jmrsBTtfoz3+ogkHkVqO83bjf0iWYCuJlbwvahQLBQ+KaUPQAiRKKW8CNTMtJMQ4utCiD4hxJumdVlCiOeFEI2hz8zQeiGE+GchRJMQ4qwQ4jbTPh8LpW8UQnzMtH67EOJcaJ9/XqmeEor5IVqbvZytYRWKlUS8MZB+WwjxKvB/gWPAFinlrwHbgQ8uYP3mFZ8/wPfrupe6GmFGTbGOgwASOkYk6S47zX2jJCfZsNnB5ZAk2G18YEcpPWMT3LOpiJxkF7+wvYRf/+ZrfONoM55xP7mpTpISbThsNp441cbIxBR/++wl2j3jbCtN48ilAV662M/x5kGeP9/DV19u5VNPvYEvMMWZtjEeqF2LLxAIW9gYA6S6Ng+bi9w8fqKNY036TGlGgFWzoBOvC5TDbpsmQBluIGZ3M/M2a2NvWDaZLX0MjNmPvJP+qC5wRp0NKysjLonZtWumTibW+kgzu80n8Q5qjMDiQFS3NTPRBLH5tiKaTV7xCGVLOcCL5fo4V1bwA44LGATeArwntLx7SWs0R2b6DwJBLRzHzWirnA57OL2xzpiFzTwTpbWcSN+NNskQnszikbHOarE03+Kl1dJyJTDfdV3B96JCsVB0CiEygB8Azwshfgi0xbHf48A9lnV/DPxMSlkF/Cz0G+Ad6F4PVcAjwJdBF5yAvwB2A7uAvzDFZ/0y8AnTftayFCuMG3XdjiUiKRSKGyPeuygL+ICU8u1Syv+WUk4BSCk1VtgAIc1lY517ebyYWJty7Q9IF5CUALdXZNI7FiQ3LZnSrCSEJrgakHQOTzDpD/Jq2xA/PtfBu7YW8K6tBdQUurHZbPzDR7fyxfdvISkhgYCmcVtJJm/blMsX37eFP3nXes52eHmj08PZziGCmu7a9st7SthZlsvn7t1EktOOx3eVj33tNC9c6GPnukxcTge15VnUlmdR3z3Oh7YXhuMWWd+CBzUZ/h3JHcM8wHE5HTxQu/Y6kcUYrHgn/dOmkLa6Whn5mC19zHmbZw+KRwAyRCura9dcO5mF7JzidYszjscQ+SK5rZnztP62Bv6dr2OajeATT9qldlmLZFkyH6zEBxwp5a9EWB5a6nrNlXjur1tLUnn8RFvYOtPsHru5yB0WymOJSGasLrrWoPhmgdpssRSPQGytezT33tnGX1suAtNCickr8V5UKBYKKeX7pZQeKeVngT9DD23xvjj2OwIMWVa/F/hG6Ps3TPm8FzgkdU4CGUKIQuDtwPNSyiEp5TDwPHBPaFualPJkyFviUDx1UixfFsJ1e75YLn2eQrGUxHt3lUspp71hEEJ8E0BKWT/vtVogXE4H775tDUOTSx9GuygRhidAQw+iPSJhdArah8bwB6E4y0XPyBRul6AwI5kpLcgzZ6/wtk0FDI5O8unvnuUbx9spSHcyflXisAne6Bhj0h/kb35yifL8FF5p9eDxXeWJEx34gwE2FKSSmOBgW2kqL9T3cKZtlFuLM8hIclFbnkVT7yS/ekcZd9Rciz10smUIh93GhsIU/uGnzfj8AbyTfj77owsMjE1wtHGAY02DBLVrMxAB1w1uXqyf7k5V1+aZNpAyBkuGC1gkgck6UDIGUtaOxiyaRBKfDGEk0lTZN9rhzOQWMtO2mdJFmiEuGvEcW6RO2tr53sg5ieReFm/HHiltpPOzVAO8SAP81YwQolgI8f2Qm0KfEOJ/hBDFce57jxCiIeR+8Mcx0n1QCCGFEDvmr+azJxDU8Pr8PHGqk3VZKQBhcchov3JSk3mgdi2gWxJFs9Y0Y73mIwXFt96XMwnE0cqJZ1s84tFycfFS1kIKxeIghNgvhPgVKeVh4ARQNMes8qWUhltAD/qEPYTy6zCl6wyti7W+M8J6xTyx2G38jbbnCykeLZc+T6FYSuK9wzaZfwgh7OjuaysKnz/AD89cweVc6prAoB/GQjpWjgsynZDpAIctkbXZdl5pHSLRZmN4QnLL2gzKstJIS3ZwqmUA4XBwa0kG79laSGuvj3W5SZy+rL/Y2V+Vxd0bC3DaHbzaNsTvPfk6jX1j2IWNO2pyeXh/GW6nk3XZKeypyGJvRRYnW4x9czhQlceZjpHr3MLqu8f5k3fW4E5y4nI6uKM6lze7vNSWZ4VmHrNfJ0IYn7XlWdNmRAPwB4KcbBkKi0iBoMaxpkGONQ2wc10m7qTIf9L+qhxqy6/V2SgjUowQq/BgzNBmdlMz0s5kFRAP0TqWWB2O1WVkJrPb+bYGihbnZD7KiHY8s8nb+h8ut47b5XSs+jgxJv4TeBpYE1p+FFoXk1B/8m/obgsbgY8KITZGSJeKHsD11DzWedYEghov1vdx6EQ7pdlJJDmvWesYgo/L6cDnD1DX5onqShuNWPdirLYhXuvC+SSeNilW2zrfqPtQsVxZTv3WjSCE+Avgj4BPh1YlAN+60XxDlkOL8nZXCPGIEKJOCFHX39+/GEWuaJbq2Ws5tufqRYVCoRPzDhBCfFoIMQbcIoQYDS1jQB/ww0Wp4TyjaeCbXOpagM/UTXp8UFWQxFUBTf3j+AKwb0M2t5RlsqkknY35mXSPTDA4fpWS7BTK85IpzUrma0cu875txXz23s28fGmImsJkznWNcXtVDnYb1OSncdvaLN51SxF7KrI43jzE8eZB6to83L+nhFfbRni5qT8s5ngmfDzxSifbStLDA5IdpRlhVzG3SXlzuxKoLc/C5XSEA1cbs6cB14lJhjuVgd1mC8cwMgYYQU23x3LYbdcNOqyuHVasMUIiiRb7q3I4WJMXflNvpLW6zFnLnY1rSKSOZaYOZyaXkRvptGNZRBnuVwtlQWMcz3znt5w67pUYJ2YByZVS/qeUMhBaHgdy49hvF9AkpWyRUvqBJ9FdGKx8HvgbwDdvNZ4jToeN+3YXk56UGJ5tzexeq1tmDoRdgA1LydOXh8NB/qMx0z0bTYieKf1SuHj5/IGobet8ou6/1ctK+O+X48uPG+D9wL3AOICU8gqQOse8ekPuZ4Q++0Lru4ASU7ri0LpY64sjrI+IlPJRKeUOKeWO3Nx4uqjVzXJ89ppPZntf3qznQaGYDTHvAinlX0kpU4G/lVKmhZZUKWW2lPLTsfZdjjjsNvLTnIwucT3slt+lmQ4Kc1JYk56AKwF6RoIcPjvISxd6KcpKpnlgnLxUJw5hpywrmfKsNH56vpcH95fSM+bD5bCzuyyD77zSxbaSdAAaesdo7h+juiCV/VXZnGge4sKVEYJSY2tJGm92efEHgjT2jrOrLJMdpRk8VXeF+3YVh61/DFczQ1AyB3Q1BCGzS5qRzuxmZrWwMRpqu03gcjrYVpIeHoA7HXZ2l+lubNZBh1mMiOaeZk4XrYE3v6k33ODcSc5pcZPM+c2WWOVaMYti0dLNxkIpWv7R3L4ixVKx7j8fzMeDcySrssViucZgWoYMCiHuF0LYQ8v96EG1ZyKaW0KY0Cw8JVLK/52/6s4NQ1h/o2M0LAZ5J/185XAzL9b3EQjqbSwIfFOBsMuaYe1ntvC0uq/Gc89GcsuNJppbXVHnS6COd59o8e7mk5tscL5g3IznZ6X89zdZP+E3WwsJIVJuIK+nAWMmtY9x7cX008ADodnYaoGRkKvbc8DdQojMUPDsu4HnQttGhRC1odnXHmCFvuRertwk1+51rJQ2ZKVjHv8pbg5mskBaH/r630KI26zLItRvXnHYbbz71kIqMpa2HkHL73F/gOfODGB3JHDXpjw25CTw9lsL2FSUQVV2Ouc6Bnmjc5iaIjc/ebOHD+0q4v3b1vKVl5oZuerjyz9v4alX2mnqGyWg6TGEHtxbSnW+PvPa0cYhGnrH+NDONTjtDl7vGGVrSRpv21TAQ/vWca5rDIddn1ktI8U17SYPapJTrbqrmVnsgWsNr9fnxx/QRaRAUJsWj8Mc9+NwQ384RtL+qhzgWiBsI2D3mY6RcF0iDTrM7mdGHawdQKQBkjWNd9LPY0dbw7+t4pE51pDZYmmuxDsgtKY1p7Gmn+mt/kz5mweWC2WtYK7DXPMyZpxaTFeY2ZyHm/XBag48BHwYPZZFN/Ah4MEbzVQIYQP+Afj9ONLOm2tCLEugU61DnOsY4eWQW+zx5kG0gMQfDHDk0gCPH2/D65vi0Il2/IHpEwiY7wfjujaLybHc3SK5dAJRB6czuabO5T6fzT6BoHadS/R8c5MNzheEm3WQtJL++5VQxzh5SgjxH+iBrT8BvAB8daadhBDfRo+XVCOE6BRCfBz4a+BtQohG4K2h3wDPAC1AUyjvXweQUg6hW6KeDi1/GVpHKM1joX2agZ/Mw7EqbnJWUhuyUjE8OeL15lCsDIT+IiHKRiEelVI+IoR4KcJmKaV8y8JVLTo7duyQdXV1s94vENT45vFW/vNYC+0e/wLUbHbY0cWkiixBdmoyg2N+8tOcdA5fJS05EYcdbinOoDTbzddfbuGh28vp9EzQP+LnLevzee5CN1IKpAgghKAiO53/c2cFoA9Unj/fC0j2VGRxtHGIloExHtpXBsDjJ9p4eH8ZLqcD76SfMx0j7KnIJhDUA2cboonPH+DIpX4u9oyxaU0620vTcbucnGgeZE9FNj5/gMePt1Gd72ZvRXY4H4geu8O63hhMmT8jYTRCVhc0a3lWgcmaxsjHH9B4y4a8qNZBkQZrM03tHcvSKN4ZjeJJa7iGRBPa5pJ/pGOez3hL8Z6DSPttK0kPX1szuf/caJ2tdZ3P87AYCCFelVIuepBpIcQ+KeWxmdZF2G8P8Fkp5dtDvz8NugVs6Hc6+oDAG9qlAH02n3ullFE7grn2EzDz9RoIauEYRztKM/R21Ofn1TYP20szONE8jN0Gt5Wm43I4pgnlZgwXUrNoZC3X3DZC5PYznuOZS7s1233mkjaevFbaPbgcUedQYWYu/UTIuqcYWI9u/SPQLYCeX4AqLgo30k8oFIr4WEovAsXcidVPxBSQlitzbfA7h8d47z8fJQmNzkWOgyS4Pjqg2w5Xg1Ca5UAG4e4ta/jGyXZSEyA7PQktGGTUp3FwYy7lmW5evNhPdaGbvlE/v/nWSn50pgepBalZk4rdJjhQlcerbR7OXxnlwzvX8OSpLu7fU8IbHWPh+EJ7K/RA1kcuDXCgOifsmma4n51sGcIf0NhbkYU7yTnNEiMQ1Dh0sp2H9q0DrhdszHFATl8ejnsAHmmwFk3MsK73+QMRrYeiDcDM68zHEKtusfKJVW60fGYi3rTWY4+XhajLQuYVj7hopJuLSBWrzJXIEgpIr0kpb5tpXYT9HMAl4C70uBWngfuklOejpP858AexxCO48YFBPNebLhqNsK8ym2NNA/gDEqfDRlDTmPRrtA152bQmg91lmdeJSIY7sLW9NN/XxjVtWHECMWdbi9U2RRKwouUBRBTn42E2wlO8wvx83dcKnZXcvinmh7n2E0KIc1LKLQtRp6VACUjLi4V65lRtnkIxe2L1E3HdTUKI/yOEyDD9zhRC/Po81W/RKEhL4eF9ZVxdAs0sUpFSQlIC9I4EuCoF3zvTyfrcBPonIei/SrIrkfffuoYj9QNcGbvK3RsLcdod+AMav/3Ea6zLTeLWtVn4gxotfZMENI3tpRmU57h58lQXU1qQ19pGCWoaeyuy2VuRxePH2zhyqR+QHGsaDLumGbMFbS1JI6hpugvGpD9s9m4EyzbEo2NNg7xY38vRxgF8U9Ndi4w36nB9DB9jnfm34eZmtRoyp4s0fb0x8Irm8mWkieaiFa81kOFiEimfaOVamY0LV7yd3FzjisRymbOuv1G3h2iWZ7PB7Go3U7r5GmTGc23Ew2ow1xVC7BFC/D6QK4T4PdPyWa4P+XYdUsoA8Bvo8S3qgaeklOeFEH8phLh3QSsfg1j3rM8f4MX6Xr7+8mXeaNfboKAGTodgX2U2eyuy6fBMcN/uEg7W5OJOcoZFoEBQwzPu49EjLRxu6L/OzfNY03R3XCNWmdk1OFK9DMvKSG3TznWZEYO9R/ptdqWD62OYxbqmY7UZkbbFc8/O5r5eDffbjTIf7fpM+Stual4TQuxc6koobj7ms22yjiNuRhdehWIpiXek9Qkppcf4IaUcBj6xIDVaQLw+P0eaBqJOEb/YjGvgD8BYEJJsQQ5U53MVB8kOyM9O5e2bCvj2a118ZOta7BJ+8mYXU9oUB6tzyXQlkCDsbClJ5fGjl8lLd/LFH1/kKz9vxm6XPHx7Gb92sJID1TnYbTbq2jw47DYe3FvKgepcdpVlEtQ0vn70Mqdah8KzBb3eMYrToaczBj3GTGmHG/SYIidbhpicmiKowfrCZD7/4wvh4LHmh31zfA4gLMYcbRwIx0Py+QNhNw5DqAkEtWn7mPMwY6SzDqgiCVHmekWbdS1S52IM+syxl6LFKInHOsYsnM0Xc8nPLKTNJmjvbMtY7IHKYrxhive4VtFDixNwAw702XiMZRQ9DtKMSCmfkVJWSykrpJRfDK37cynl0xHS3jGT9dF8EEl0BvCM+8LWQNUFqVQWJAP6zGy7y3QLT5fTwYN7SnmzyxtuZ4xr0+cPcOhEO1V5bvZVXotvZpRR3zMaVXiNJWLHwhx7KdrxGfkbbe3py8MA09rYmcqeqX2MNkullUgi2EysovvthphPod2K+g9WBbuBE0KIZiHEWSHEOSHE2aWulGLlM98vAWea4Xi2qHZNsRislOssLhc2IcQ54JbQzAsIIezAWSnlpgWuX0RuxOS0odfDL/3TMQaW8P9xcW0e6t3lCXT2a3j9QTYUpNE7MsGUP8Bbb11LVZ6bn13sJcFuI9OdgE2z09g3wpbidKrzMugZm+T+2hL+43Arv3qwDK8/wP97rom3by7gzvV5HGsa4GBNXvjB/1TrMCAJanDhyggP314WblzNAxifPxB2X3PYbXjGfbgSHDx2tJWH95cRCGo8ergFBGwuSscfkLx1Y17UWcysbmPmNMZAbEdpBnVtHvwBjYs9ozxyoDw8y5sxeDHHPzLHADLEqnji+hhi1baS9GnHaM3f7DZhPg6rO8VszGKtriHz0UnOxb0j0jHAwogvkc7PfJgSL7VbS7zHsBRm00vowlYqpWxb7HKjMR+uCcb/Z7QbW4pS+dIzDfzJO2tw2Gy83DjITy90847Na9hVlsErrcOAwOnQZ2o73jzExZ4RHjmgx6YzroXDDf3sLsuM+DIjklsucF37FM2S8Ebczcy/rd/jcWmb6b6cjeXnXO7tpbjfFNNZqDZfMb/cgAtbaaT1y6ntnw3KhW11Mpv+ciGe3RWKSCz12MbKDbuwAc8C3xFC3CWEuAv4dmjdiiIQ1DjTOopvif8TH1CcKgA41TKFQwQZuQpvtI+yuTiL7KwUyrPdfP9MF0WZSfiDQX5y5gpdo17K85M41zmCI0FSlOHiWOMw3SM+/uNwKz94rZsDNTncXpVDIKhxrmMEnz/AsaYBjjcPEdQ09lXmsKssA5sNfIHAtAGCIR6Z3dcGxib40jMNBIIa9+8uCbuy3bo2k0cOlLO3Ihu3y3GdSGNYG1lnzzIsioy39LXlWeyvysGd5GR/VQ4HqnPYtCYtptuS8TBqDiAd6e26EWPEvM5wrzPEo1hWQea3F1aXkngsARbCqmc+8ou0z0K9NY40kJjv2d2WgnjLXQ4dwCLyWARX5+eWsD5zxny/T2s3XE7+5J01uF1OznSMcOf6XD7/3s0cqM7h1TYPb3aOADIsiO+tyGJ9QTqBoMZjL1+b9XFfpT7hgNE2Gu0VRJ8Rcqb6Gm3rbO6tWBZJVssnc3sYK79Y4lE8xxLvvb1UFogLwVK8cVyoMheqzVcsD6SUbcYCDAC3A/++xNVS3MQshNV+vLOCmfvW5TKoV9y8LPXYZjbEW8M/Al4Cfi20/Az41EJVaqHw+QM8V9+Fd/FmA4/KwJhu+WVDD6TtAtKT4cXzfQyPTqIJjaAWxI6kPCeFW9dlIgQ0dU+QmpzA+a4R/vuVNi70DrO/MpveMR/vuCWfzmEfLzcO8vOGfrBBIBQ8O6hJ9FDe8HrHKB/eWcRf/+QSz5/v5XBDP4cb+jjc0M+p1mGq891hV4Q3Osb4k3fW4AsE+NapjrAoc7AmF5dTn11oR2nGNBeHky1D4VmztpWkh2NvWG8MY2BmYIhKB2uunxnNYbexvyoHINzwm0UcM4GgxuGGfh472jpNvDLKNwZoxjGC7q5hPg5znoa1k3fSH97PnF8kCytDPDPWmX/Pd8Mwl/yiDQ4Xmvk2UVYsK3IiuDrnLV115obxcBlJND7aOMDrHbqLmeGq5U5y4rDb2F6awebiDHaVTXfh0tte2FCYChBuu6zuwdb2ytpmmq0vY7mezdVVdqZ780ZFU3Mdb5RYosRKEyqWQmBZzDJX0gOxYmaEEE4hxPuFEP8NdKNPfvCVJa6W4iZlIdoqoz+NNSGFOW08L08UivlipVxncdVSSqlJKb8spfxQaPkPKWVwoSs337iTnPz2W6uXuhpAyApJD53BxCQImx4PKTPVQUpyAo19o2ia5Mqonw2FadyzpRDveIANhRlU5LiR0kZ2WhI1uRmkJydQW57Foz9v5cM71wCSloFxPrKriHNdY+wuy8RuA7tN4JsKENQkbqeTz75nI3euz2VfZTb7KnM4WKN/P1CdGxZ9zl8ZwRcI8Nc/uURJhl5hswhiCEXeSf+0QZcRc8Od5Jz28Gh1j9hTkR13vAujATc3/JEeTg2B6+H9ZdcFmo5kkQR6rKMzHSMRhS6X08EDtWvD2yPlZ7VmMk/Nbf29EKykQdNKaRwVs0YTQqw1foRcHVbeNJ8RMO7j/VU51JZncaxpkCOX9DhuA2MTPH+hm0PH2/Fe9fP4sTaONQ2yozSDn9X38+OznbzcOMi+yukPq+a4RAdrcnlwT+l1s68Z7UmktiVSHc2ieKSH7pkElxu9N+Nph2YaDMQzYIgmSqxEa5elEFgWu8zFKGcl/ecrESHE3UKI/wRagQ8Ch4AhKeWvSCl/tLS1U8yV5X7fLFRbNRtBSD2zKhTXE/OuEEI8Ffo8FwqWN21ZnCrOH4GgxoUrI0tSdrLpTBtfByYgwwEF2YlMavALO0pIS0pg0HOV19s82AQEpcalbi/NfV4y3E6SEm3UFKYy6PVxR00OSYkC/xScahmitiybjCQXdpvgvt3FNPZOsq0kHYfdhtNh59aSVB4/dpkhr5/HT+ju6seaBjjWNBie+ceISWRY6lTlpXKxe4I/fkc1bpeDI5cGwsGvjzYOUNfmYUtRKnVtHoKanGYpFMkNLdKAKFJA61hY3cqipZlpljJzx2QNMmvtMKxCWKy8Ilk6Gb8XorOeiyvdbPZXTEedp6h8BjgqhPimEOJbwBHg00tcp1ljtvYx8PkD01zQDNYXJvOXT9dzvnOUD+9aQ+vAJDUFqewuy8QXCPD8hR76PJNhK6RIeRv3Xl2b5zqrJyAcs80c1Nq8nxmzKB5P0Oxo6+bCjQg/s01jpJvrvsuNpajvSjtHsVB92KLwLFAO7JdS3h8SjdQJX8HM9b4x0i/W/aYEaMVqZzlenzPdlb8d+nw38J4Iy4oiENToGPRxW1Hyopc9Efrvk4T+Sj7TCVeBbVUZfPC2tWwocHGhd5Quj4/KwhScDhuffvcmkhMc+DXJlaFJCjOTsAmB1OCtGwroGPSBFIDkLevz6BqZxHvVz7muEV5rG2FDYQqnWoc51jTA1pI0XmsbwT+lcbS5jw9tLww1yoLtpenYbbp7W1DTRSRD0Ely2qktzyInNZl9ldk4HTZqy7PC8YuMmdtqy7PYV3nNPSHa4MbqS+xyOqbFMorXJcHIy3D/mOvNZbVcijdtvHmZB4SRXE/iZTaDspkGiDPtvxpYyEHyakVK+SxwG/Ad4Elgu5RyRcZAsgrUDrst7IJ2smWI3WW6lc+p5hEkkqoCN26nkwS7YGdZBqdah/jWiQ7etjGfj+2vYEdZWthdzYphmRjUosdMMwRsA0NUilTPaOb20aw1rW3HXK/vuQg/0cq5kbZotvsu9r1sHXytlLZkoet5I/mvxj5sCbgNOAG8IIR4XgjxccC+xHVS3ABzuW/Mz943y7PQfD/XLeU5uRn+D8V0luu4I2arIaXsDs249rg5cJ4pgN6KY2Jqite6Jpas/EkJ6TbQNN0q6ef1Hr78UiPpTgeuhATecUsh69dkg4S/+0k9v3FXJQl2GwUZLuq7RvAHg3zvtU42laQibIItJam81NDHrWvTqcx1c7rVgwxKJv1BnjjViT8QZNIf5JXWYew2G4/cUc49m9ZwvmucY02DBDUtLAABHKzJY0dpBo+faAu7bBjijsvpCP82rJXMF7Qx3T1EDjZnuFdYhY5IbhsG0daZXTWs014vF2K5tc01n2hEGwDeyNv8lUws153FGCSvYoJAHzAKbBRCHFji+swJnz/Ai/V9066RfZW6ZaU/oK8LanCxZ4TPvHs9Trs+kcADe9ZyunWE3WVZbClO5+2bC9hflc3fPdfEhsIUTrYMhfM1rDiPNekP43bbtXvYGjPNbLkJ11xuZ/sQP5t4D3MROOYyEJnL2+/5fNBfzAcz6+BrpQzCFvo8zUf+q7FNXszrRkr5upTyj6WUFcBfAFuBBCHET4QQjyxaRRTzymzvG7NF/c3yLDSfz3VLOdhfrkKD4sZYruOOGWsTinWkCSHSF6E+C4rDbiPHdf20yQtJgul7dY7+ssajwVgArmpGWGs43+nFneAgy5XIA3tL+dD2UlKSEzjfOcrZtkEqc1PZuS6bj99exkd2lvLDM1eYmgryWtsw/qkgf//sJc5fGSEoNdavScPt0i17dpZl0NDrBQT7KrNxu5y8bVM++yqzOViTy96K7LDLmeFK5nI6qM5LjfoW22icgprudmFYJFljE8G1BxyfPxAWUYx4SdYZEMwCkzFIsA5ozA/gpy8P47DbIsY6Wg7Ecmubaz4Gsd7cR7IyWE1YO9G5imrRWG3nM16EEA+ju609B3wu9PnZpazTXAgENY5c6ue5893hduto4wBHLg1w5FI/Z9uHOd48iNcX4I0ODwFN8uz5K7xwoY/DDQN880QLXr+f3WV6u+hKcHD3xnzciU62lqRxqW8s3H7tKM0ACLejoAfZPtkyNK0tPNzQz7GmwbDVkfHw7nI6wkK6uX2MJKDGsuS0tsPGMS+kwBHvfWgVf+OdPWc+6zBfWAdfK2UQNl/naTb9liI2SzlYlFIel1L+JlAM/COwe9EroVgyooV6WMnM17EsZVum2tGbl+X4n8ZbIy9wTgjxNSHEPxvLQlZsIfBM+PhO3eVFLXPK9P3SgB53PDsBsl2Q4oTK3EQIwJrcJI429dE3OcmXnqnnZ5d6eL11iKoCN1lpSXQMTlCancJ3666wryqLmrx0pqRGgs3BX75/E59/32a2rc3ELuwkOR3cWpJGQNN44lQnQkp2lWWEBiJ9Yeshnz/A48d1SyMjULQRh8PpiPwG2vzQcrAmb5qFklU4MtIOjE3w9WOXCQS1cNDtHaUZ02KBmK10jDfzxiDBGNCY3d/MD97RRBnzFNkLSTyWQdbvs2WmWCbR0q5GrJ2oEtUWjd8GdgJtUso7gW2AZ0lrNAccdhsHqnP53L2bwjOs1ZZn4XTY2FWWidNp55aSVC4Pebn31mIASjKSCcogwqaxqTiNQ0fbeexoK95JP6cvD3NbaTrHmgZ5tW2EB/eU4k5ysnNdJi6ng32V2dOEd0OIt7r1+gNBTrVes/o02sWTLUMcbuiPav0ZS3SJ9cBpxLSLV7ye67mORSTxN97Zc+arDvONdfC1Utqi+RCPVL81fyzVYDHkugboE+ygz8rcvqiVUCiWMUvZlql2VLFYxHulfQ/4M/S3y6+GlrqFqtRCYncsvct2MKhHHpyagkx3AoW5LmzBIFpQ43B9H1LCHZX5rM1I5GLXOGuzkgkKjWONA0z6g5xu9TDpD3K8aZBJf5DX2kZxJTjYW6HHKNpUlMIXf3yRrx65zAN71vLIwXJebfPw2MutvNHuwXv12nT0GwpTww2OWQiqLc8KiznWaaGN6acNcceKWezZVpLOk6e7uG9XMQ67jTMdI2ERCa5ZJlnFoUiDBGtsj1iDGp8/wNePXcY76Z+Xt3TR9o/mYncj+c+0v3rLMDORLOcUC45PSukDEEIkSikvAjVLXKdZYwjZVivK2vIsMlJc3Le7mLMdY7T0j/FSQzd/+NRZ1uUm0dQ3waUrXqrz0kBAWU4yDruNLUWpPHm6i0l/EJDTXIAPN/SHXYHNgrlRtmGptLssE6fDzjWbVR1DUDlYk3ud9ac1TTTRJdq9YcTFs7qzxTu723wQTfxdKEFrObAYx7MU50z1W/PPEp3Lu4QQzwghCoUQm4GTQOpSVESxMESzVlUoFAqDeHufDCnlN8wLcP08wsucjGQXd1fnL3U18GhQ4naQnZrA5X4vfcM+hMNOdVEyyU4Hv3VXFc4EwUTQxvluD1uKMrm1KJu3bixgU5EbgPRkB19+4DbesiGXC90jHLk0wMuNAwQ1ydmOMW6vyiPBDg6bDXeSk91lWTx8exnVBfpgZkdpBi6ng4M1eeEBgjHQsLpI7KnInvYW22G3hWcFiiR8mF3RHHYbGwrScLuc4QdIIyBsIKiFLZMiiUPmAZwhMEUi0qDGCM490+xp8RDLjcP6UGyuS7wdrnWfeAZo6iFcsQzpFEJkAD8AnhdC/BBYcbHyjPbLENAPN/Tz6JFmjjUN4p308+TpLm4pSaUiO5U7awr4l/u2cc+mNfzqgTLWr8mgpX+CKRmksdvLSxf7eb1jlI/sLMLtcrC7LGuapZFZ+LFiiEw712XiTnJysCaXfZWRY8tFEo6sbmmzaTOM+hn5mOMxRbNwWqhBh1XIs+a/1DEf5rPsxTiepTxnqt9a+Ugp7wO+AZwD/hf4HSnlHyxtrRTzRaT2YT5dmWfKYzYzMq8GlHCnWK7E25t/LMK6B+exHouC1+fnVHt0IWIxKEm3UZFuo34gwMT4FL1ekDYYm/QzNimRwSB/91w9L9T38tHatQxP+NlRlgZCw26z0dQ7AQj8AckPXr3CkcY+1mYms6ssgzevjLKrLAMAt8vO/XvWcqZjhIGxCQ6dbCegaSQ5HWEXCoNooof5zfPpy8PUlmeFBxX/n703D2/jOu/9PwcAQYAE910UxUWUKMmSLVnULluxEyeOszZNHSfXcTbXTdv0pre97U2Xm+am6+2S+7tt096mTuI4juu4SRsnThzHsR3J2ndrp7iJpLjvJEiC4ADn98dgoOFoAAxAgJv5fR4+BGbOnPPOYM77nvOu5zpGb8tXpO9DC5E7dWM4vOnReyxpSip9BTY9jHToKxDp20Ta1MBsj6pYTDiSB5DmjRAt+bXROh6tzHak6425kuIJWbNyTytYQaoghNgNIKX8JSnliJTyS6geq18HPriApCUMvQL9QF0RT9y7lgN1RTjsNtYWerjQ4aWiyMV/nr+JEgzy9PF2vH4/TocAgqRhZ/2qTEBSX5nLpU4v9ZW5nOsYncW39IqdaB5C+hBfK/M6liLbLDzZDMaqmRo9VsZPpqIikpJqob1akq2MmY/7WehntoKlDSHEOtRw5e+jGgg+LoSY/9LGK0gJzIyikdbAiaxJoxlItciB5aJESkbkw0IbSFawgkiIuoIQQnxUCPEjoFoI8UPd3+vA0PyQmDy40hxUr1o4T1sP0DEaRKAyg2kbOIC9Gwr5xL61bK8qoCIvi3M3RjjfOsDR5kG2V+Rz+sYIP73YAyLIxrIcdlTnYLdL1uR7+OmlHv7tdBsjPj9vdgwz4vOHRhOcah1hY1kmzxxr5/1bSzjfMYYWQgEqczrY0B/2ANI8grxTah+a1QFuhZbplRxaKEak3Bv6dpEsGNrmyCzpsV6IGDcQeo8on1+JuBg2U24Zz2s5l8w2Pfp7sIpIiiD9mGbXmH3W0xDPgj+aV8AKFjeW4G/2T9oHIcQxACnlQSnlD6WU/siXLX5ov4U+7Awk/oDCjX4fQWUGnxLkQ3eX8jcvNbK+LJNtawqoK8tGBm009Izj9d8KGdYrl7XwXTPeprXXFPZqtbYBy1UczcbS35OVCmBGxXa0sYz57MwUT/OBeAwFyUAqlDHz8bxWlEcrmAN+BHxRSvlrwAGgETi1sCStIJmItI4Hblunx+N5GstAGs2ovNSQDOXPirJ/BYsZsd7Ko8DfAddC/7W/3wXelVrSkg/vtJ+zzQun9/KG/udkeXDbYVWOHSHg5+cH+JeDTbT0j9E9NsnnH6jj1x+oQwjJixfU3BlKIMjWNTkEgkG+dbSdix2juNMF79pUzvY1uZRmZfBnH7qDv/95M4EgbCrP5GeXezjSNEhz3zj/dlwNWztQVxymRwkEudw1wpGmW+EJWiJtzXtIH4pm3OBECqvSbyi068wsGMaNhr4ffZ4lbeMWCMrbNldariYzmsz61yuStI3bkSY19E/rN56Ey9E8lyIpjxIRKisC5K2BJWpx0ifmcS0YFUmEplzXklNrybC3VmQTkEGcdgcf2VVOYW4m/+O585xoGSYnw87/faWJTeWZNPd5udYzRkFWGn/10nU2lGWElE+3+NuRpsGwAjwQvOW1aVRgO+xqTjq7LXYYmtFz08hLteNWK4BZ5TtmG454w+Zi9W/moWU0DkSbO6maW4nc4xKb3ytYgR47pZQ/B5Aq/g74pQWmaQUphFmKhkjKjVh8NpaBVDPWLHUkS/mzsvZfwWJF1DdTStkmpfyFlHJPyKKs/Z2VUi45H0OHzUZW2vyOuSbz9mOjvmnKCtNZVZDF+kIn22uycTsEwxMBMlw2PG4HZ9qGuWddMVsqcrlzTQ5N/eN88/ANrnSOsiYvA5sQ3FNbxIG6AjLSnPhmVIv4A5uK2bM2jx+c6+HtG0t5+4YS3rW5HIGqINFvUFxOB0/cu5Z9tQXhhK4aNK8kzRKgXad56+ir/uyuyb+Nyekt3kaPJeNx7Vq9FV6/udE2D/tqC8LKLu16fbtI3kP6UBG9IgkI5SEpDoenaNdZCfGItHmJJUBTbVHQhLu24VoOwjgZWArPQdvwL7FFg00IkSeEKNB9ztf+Fpq4RGG3CfbVFrC7Jp8TrcNsq8jhcNMAP7/ax9j0NC+e7+V337WewpwM7lqTw/Ckwt6aIs63j1JVmElQSn50rosiTxrn2sbxK4FZ76DdJthakc3R5iH21d6qvGbGHyIpUPSIxHdcTgc7qmanLIwnHC0RWPW8jOd8pPC+aOG/kdouJJaoknhOeCvd61sA7lBF5p8CCCE2AfcsME0rmAcYeWgsnhwJkYzP2rnlwh8XWtasYAWphKW3WwjxISFEoxBiVAgxJoQYF0KMpZq4lMA+vxqk9olbn92oD7xpYIau0WlWZbu5e10x1YU5rC3JJt/jwJnmRCo2/EqAH5xp580bgzx3soMsp42glASEpGVgAiQowSAXO8d5bO8azneMsbsmnwc2lZGb6eKTeyp5cEtpqKKZquB5raGHp462saX8VhifpmzYXZNPICg50TrE1orscHJrYJY3EjAr+StwW16OkQkfX37xajgUDsxD1bTjkWDmBXS1Zyyq55NemaQfV9/WTLFkJsBiVXCLtHmJZZlJJYwWIs3LKtGY8uUgxGHpLEo0b73FTqcBOdyqzJkNnGWJV+vUeKLDbsM3o3C5awSv309TzwS//UAtNwd9PLC5iMs3x0AEOX1jmP/x7vU4HEFeutBN6+AEH9+7hp1VBXxiXxUqKxAcut6Pd8rP8ZYh6itzOdgwwMuXu2fNVyP0fCOad42R7+iV4MdbhuIKadVfaxb6Gy+MCvZo5+OFVW9RK+fnA2ZyygzzyQNSOdZS4b0rsIyngJeBstD368BvLxQxK5hfWOGhiRg69NcuBkX/csYKL15BMmB1hv418H4pZY6UMltKmSWlzE4lYamAw2Yj37MwsbVpwBQgAY+AUR9c6/LSNjDBxY4BBif8jE0oZLkFM3KGNJud9aVZ3FGZix3Iz3bjtDvYVJrDhtJs1pZlcLJ1hG0VObjSbiWLdtht+PwKJ1qHw8qD8x1jPLqnghsDPj5cX8b5jjEONw4wMuHjSz+6wmtX+0JUSgJBicN267UwKo80xZKZ0gZUxnSxc5w/fKhuVqJus7bGc8Y8Gka4QgnAo8VH65Um+jC1aBYPsz52VOXNShSuRyQFWKyNTCzvkmQwdbPNiT48Jh7M18J/PoTZUlmULBU69ZBSVkkpa6SU1SZ/NQtNXyLw+RWOtwzxyuVenjraxurcDJ470cmMDHKqZZiBiWl+65lz/PhiF/UVRXzjjRZ+cXWIly72EkTyzs3FNHRPUFOSyfMnOgHB3ZXZXOsZ543GAbw+BSUY5I2mAX7vwXV43M5ZYXNmnppgnpjfjMfpj2m8NZYHk/7eNQW66m3aN+d8arHuIdp7vxwXu5EMKhrmU+mS6rES8UhYwaJGoZTyeVCTeYaiEQILS9IKEsV8r++s8INYcmqFXySOpazQX4o0L2dY3aX0SimvppSSeYDL6WBH+e3VvOYDDsCJqkAq8oAdONs5zuS0n1GfwqbyHLasyUNIBz8400lWBhy6PsjNoUmUgGDcO826kgycDjvXesb42aVezt8c5GjzEIeuD9yylvsVjjQNcrFzBFC9heorc8nNcLGuOItr3ZPUV+ayf10hHpeTL71vE/euVz2J7DYbdpstFNqm7vu0MtIupyOc4M64+DV6/OxZW0BupnkqFDPruPbfLM5aDyUQDFcxMh43QstpFAmxGJG+CpPxukSZbzTvkmQydf3vA3Cgrvi2XFFW+5mPcLv5EmZLRSmzVOg0gxDiTiHE+0Neqx8SQnxooWmKF0ogyMuXu6mvzMXpsFFXko3baeeT+yr5+J4Kvn/6JpfaB6ivzsMh7ORkOPg/H92GMw2GJ6fJznTw2adO0THs5UbfJAGCbCrP5GzbGB/btRqAV6724LDZ+NL7NlHoyQgruwPBIITCjY28UT8fzZTBZnNJz5etvFcaj9pWkcO5jlF21+RzoK74NuVTop5CsYwIVu4pFv1Wji0WRHsWyeS90Z7BfPD5uXgkrGDRYSIUriwhXIVzdGFJWkEiSPXci9T/XHjNUuQXi4nWpWikhKX5uy93WH2DTgshvhuqyhbXxkAI8aAQokEI0SSE+EKENg8LIa4IIS4LIZ61TH2cUAJBukZmUtW9KeyoiqMpIE3AXaVO3JkZBIGqPEF7/yQZTjsXWwfoHJ6gY2CMQCDA+ITkV/fXUlOYTU1hJlsq88l2pbOlwsMdq3KoKcpiU2keO6tzud43jhIIhhO9bq/MYVNZTliR8NTRNnx+BbuNWaWkjzUP4rDbONI0yPGWIfbVFnCgrihM+5GmQQLB2xVE2iSOlnsolmu+FlYVqRpQpDwgVkvc220ifI3Z5scKI4q2sE8EsTZPyWTqxpA6KwlzI/WTSqRCmC2UgHmrCzYhxDeAbwC/DLwv9PfeBSUqAQx4J/nKz67j9fvZVZ3HPesKaOgZ52TrMIWeDL74wU1MKrChOJd71xXz82vd/MPPmrjaPcYvb6skOy2djatzOdEyxMO7y1lbmM1fvdjAD893cKRxmD1r86nMU6teu5wODjcO8NrVPo40DWC32dhXWxjmUcYwWk15pC91rPE4YNacj6Q0tqJM8Lidt1Xe1F8fb/Ud4xhWEQ9/iKRAW4xelHoFfyQkU3kU6xks5GZiqW5o3sL4XeCHwFohxBHgaeC3FpakFSSCVM+9VPS/VPiF3gC02BQfi/3ZmWGp/O5vJVj9JbKBSeCdxLExEELYga8C7wY2AR8NJdzTt1kH/AGwT0p5BymMpVYCQW6OjaSqe1No9mSB+uFKj59AQMFlA1daGlUFmSCgqd9PYZabXz2wng/VV1Jd6CHfk86NgXG+fbyVm8OTVBa5+YPvXyYgA3xqXyUelwNXmoNHd1VwonWYp461sbEskzNtqjHI6/PjsNtYX+IB4FrPOEDYo2hbRQ6gKlvqK3PD3jZqZTJ1cburWs2Bq/c2ilTVR1Mc6RlmrEWrRotRGRXtGuN3s6ppeqWRUaGVKCPS95GMfB3xnEsEZs/KiFj3sNQ8gxZKWC/GRcICYLeUsl5K+Qkp5adCf59eaKLiRWmOh+9+dhcep5Onj7ejBIPUlmQSCEq8Pj8/frOXioIMDjV30zbspSLPwz0bC+kdn8aZBs40wRce2oBd2DjVOkTzgJfyfDd71xfyWkMPALWlGZxoHQZUpb7dBvtqC8PJ/E/dGGZLeZZpGK2x1LHGZ/V567R2VhXueuj5pnaN8Xwi1XeMba3CKn+IJAtSnZQ+kbk/n4vhpbDwXsy0rWA2pJRngAPAXuDXgDuklBcWlqoVJIr5MBIuhT6TCWOExmLnv0sFi/0ZvtXW/5Z+Dd1m4FNxbgx2Ak1SyhYppR94DviAoc2vAl+VUg6HxuojRVCCQSYUEbthkuBAVR5lp0MGMAGk2yDP5cQpoWfEz+UuL4qi4HHD2aZ+ZmSQH73ZTV1pNvvW5ZHpTONT91Zz/4ZiXrrQy598YCPutDTe7Bhja0U2h673c6ZtlH21BXxyTyVn28YIBIN4fTN86YUreH1+nA47DruNDaVZHG0e4njLECMTPp461saRpsFZXklAKGyhiO2VahgDMEvBo1X1MSqR9Mofs3wX+raaxfx4y9Cs8DWjMsrSc44RDmHm4ZSI8sgoEJY6Ym18lqJSZKGE9coiAYBjRgPBUkWu28XpthE+tnM1Z9pGuNI5xuWboxxrGcSvBNhbXcj4VIBfri9nS3kOadj5/QfX405Lwx8Icq51jLJcF619U6wv9lBXkk3XoI9CTzq9Xh+/aBgMV2U72jxIIDibJ+2oyuNi53hYwW6EXnmkeZLqlUoajEqgSF6cRsSynsbrRak3JszVgykazJRaqU5Kn+jcn0+vy7c4X1pBEiGEuAD8PuCTUl6SUs6vW/8KkoqltL5bKjDKhBX+u/yxFPdLc4Wlt1oIsV4I8aoQ4lLo+51CiD+2cGk50KH7fjN0TI/1wHohxBEhxHEhxIMRaHhCCHFaCHG6v7/frElMeFxO3l5dktC18SAz9FS1LBW+acjKAI8dslyC631eMjJhwg8OO2xbU8xDd63mUwfWIRWBkAH2rcvHYbPxx+/bSGaag8PXBxn3+XnhbDd+JYDXp3CseZgrXaP4lWBYsXG9b5w7K7K4MTiBEgzisNnC5aHvXV+E02Fjc7mHM22jPLqrggN1ReFwBSUQ5LWrfRy63o/Pr/DsyZtsq8gJhzDoJ4iZdVtv7dXaRwtziwYrk9GqpVtLAj4XJm62SVjqzCLWxmepKkUWit6l9pxSgKdRlUgNQogLQoiLoc3GkoISCPLSpU78ShBXmoO7KrJxptnZsCqHjauyuNgxxE8ud7OuOJt/P9nBuY4h/uVQI/9yqAmvb4YzzQM8e6oFgId3lQOCG4MTrMpL50LHCJ//zhl+4/4a7gkp0a91jwMSJaAm0T7cOGDq1alBn//IYbeFebTL6QifixbGFcsjaS7WUzMFjhayrE/qPVcPJv01seiZDx6WzHCzRK5Z6rJoBUsK70Nd3j4vhDglhPjvQog1C03UCuLHfPKOtxp/WlkPvrWwVPdLc4HVO/1X1DCzGYCQu+ojSaLBAawD3gZ8FPhXIUSusZGU8muh8Ij6oqIi42lLUAJBhpQZ0uZArBVMG/hkVakbpzONDWXpDE5KCjIdrC/PZWtFFqsKMhjx+bnRP8b1gTGePdlKTmY6Xr/Cbzxzhjea+rnaNUZxbjqutDTqStTid79o6AMkj+5ZA0LNc6QEgnxyTyWNvVM8tncN79+6OpzDAtQXfGtFNs8c7+DN9mHOtI2En4sSCHKkaZALHcNc6RoLW7S1Smoa89d73pjl1tCsvVqejmiWb32omdE6DcSsWHawoc/yBiJa5bZEEM1TKlWCMhX9xmJ2xvt7qy0C4K15zwni68DHgQe5Feb8vgWlKAEMeCf5u5evMzY9zaHrAzx74iaP7CwHEeSHZ3v4Xx/awtaKXGw2aB2a4M7yPB7esYafXehhzO8HATIo8QeCfOfYTV5v6KUiL4O+sRn+5iN3cqCujMbuSZ46pvLsJw7UcO/6IpRAMBxOrL1zahW0/rDyxedXePKNVrxTfkBVJmk57rxTfr5x5IZp3qR4cq+ZWU/notgAbqsCF68HU7T+l4v3TaKbueWwcF3hsUsHUso2KeVfSym3Ax8D7gRaF5isFSSA+eIdK0ruFbwVsJRlcCKwercZUsqThmNWaoJ3AhW676tDx/S4CfxQSjkjpWwFrqMqlJIOJRCkdXCCVPvbGh/M5Z4phITGvmn8wLhfYdrn51zHOEVZLj65r5pz7WMo04L/94l6HrqrlLOto3jSnSgK3ByewiHs/Oo9VTy4pZR3bCrhTz+4mXvWFXKp04vT7uDR3RWc6xgN5za62j3B3rX54Rfa51c42NDPseZhNpXl8Ol7qjhQVwyom5TjLUNsr8xhW2Uej99THa66pj03/SZGS+6qJXLVW8g1pY/L6eCx3WtiKm6M3kn68LBooQdKIMjV7nFLyptkTGozAWjmWRVJUM5VcC6UANaP+1ZcBLwV73kO6JdS/lBK2RraZLRJKdsWmqh4ket2cc/GAt62voi9a/NZV+zhWMsg17u9rM5z8+PzPbQOTHCxYxApBXdUZNEz6iPDlcaJpkE+uK2Sh3dVMjA+zbpiD597x1o8rjQ2rcqmMMPFzuoC7ttQxIe3l4VDhI80DfLUsTa2VmRzonWIJ99oRQkE2b+ukH21BeEqmw67mtPudNtImF9uLMsCCIfcaR6lRqWQBqNHk5mCyEypH40Xm0G/OdH+orU30hkLy0Fxosdc7mcpP4OF5LErfD0xCCEqhRC/j5qWYgNqSNtc+vtvoSI6l4QQ/yaEcAkhqoUQJ0IFeL4rhHCG2qaHvjeFzlfp+vmD0PEGIcS75kLTWwXzoTxabrx6BStYgXUF0oAQYi23ynZ+GOi2cN0pYF1IEDhRvZZ+aGjzA1TvI4QQhaghbS0W6YobfsWfqq5vQxqqe9WGEgdtozM4Q0/bPyMYnQqQnQb7qoo53DjAg3cWMzTlA+CVK328crWHoYkp/DNw/4ZS0h02HDa1gyNNgyhBtaT91opsNQzN5QwrXk63jYTLMPv8Cj6/wqHr/fiVIA29Y+yszuV8x1iYzv3rCqmvzOVi5zi7qvNv8zoCNdH27pr8cOiax+3k0/uqcNhtoSpCvRxs6OdI02BYqaTPqxRtkWhm8Y4lcFxOR1jRpSGVC9FI9JgdN8sxoinf9IiXzoXO7fNWXAS8Fe95DjgnhHg2kWqdiwk945P86HQ3//B6E0ebh/Arkn8/eZM1RS7cTjsP7yzHOzmNx+1kYMTL/3m5EX8gyP71BQgBh5v7aegdIyDhYvcwf/jvb3Kpa5id1XkcbR5kV3UeAxNT/O3LTWwpz8LldLCrOo/H91fjcTk5UFfM4/dUh9+54y1q3jqNr967voj6ytzw+X21qmdPICg53zEWXrCbQW8M0Ie7GfmmPm9crNxGZnnuNJiFqZnxQv35eLCY5qVV2pOlQFsumA8ea/bMV4wDiUEIcQL4T9Qiw78ipdwppfy7OfRXDvxXoF5KuTnU7yPA/wb+j5SyFhgGPhO65DPAcOj4/wm1I5R/7xHgDlQv2H8KFfJZQYoRaQ4Z5cgKVrCC5QOrM/o3gX8BNgghOlErpf16rIuklArwOeBl4CrwvJTyshDiy0KI94eavQwMCiGuAK8DvyeljF7fNkH4FIWeIV8qujaFC9Ub6WafQmUWuNLTePumXIqyHKTbbawqcHOqY5CRKT8tfZP0DE/wnWPtlOdk8LsPrmdbZQE/unCTmeAMVQUeXr3Wy4B3kvMdI3zj8A02lmXyzIkOesYmZm0IgHCi6+MtQxy6PsC1nnH2rM1jS3kurjRV6eLzK+HrznWMhpVOZt4mWh4luLXI1cLjdtfk43TY2VWdB6gbHuA2pZD+e6yNhvGYRpPeem6WMDbaRicW9M/P7LpouYK0trFKM+v7tZrjKZ5+U4FIngxvFVjJ17UCANzANHFW61xsqCrI5hO71pCT7mTv2nzevrGIX9m5mjTh4FKXqni/ozKX7pFp8jwu7q7K5UrXKDJgZ3WhG39A4WL7KPesLcIm7RRlu/mVHatx2Gy8dLGbly518/vfvcC+2jxcaQ5GJnxqtbeQcgXUd06b87tr8qmvzOVI0yBfO9TCz6/08tSxNrxT/rD3KMCBuqJwcQI9jO+nFianeXjqvT619sa8cVbypEXjaVbmyFLe0FulfTHc42J8vqlWHkVKBL9iHEgIj0kp75ZS/qWUMlnGXgfgFkI4UGvOdAP3A98Lnf8W8MHQ5w+EvhM6/3YhhAgdf05KOR2KZmhCLeSzghQimtd9MvKPphqLkR+uYAVLAUJKab2xEJmATUo5njqSYqO+vl6ePn06oWsPN/by6NcTuzYRpKEmjspxgtcPmWkgJXzu7bWcvDFCkCCDY1MU53gQQlKZn8GNoQlqC7J4dN8ajjcP8trVfoISmvrGWF+SzTs2ltHSN8bjB2o42DDI86fa+OX61dwc8vHEgZqwt4imbNE+a/+1ZKvHW4bwKwGcDnvYu8g75b9NMXOseTDqQita2JhxfO1YrD6N/R9uHCAQlIDEbrPNyqcR61or96DlbDKWxz7WPBixElKk8SIpsMys8dGeqZ7mFQvO4kS87/J8QAhxRkpZP89j2oH/LaX87/M5bjQkKieeeqOZL/34Gnsr3fzTY3s51jzE5ZujTAUUOkemcNht7FxTwOtNPexdU8S5rhFy3DZa+yd5aHM5h5p76Bub5iPbqzl+o5+ta3K5eHOML71vE8eah5iaUWjpneCT91TyZscYl7vG+Niu1XjSnRxpGuRAXREOuw2fXwl7eAJqbqRgkPMdY9RX5uJxO8NtjLxV41lmPMwKT06U30Tic1b7Xsp8LhbtZs99vjEf/Gox/obaOmCx0bWQSFROCCHSgV8GqlAVPwBIKb88B1o+D/w5MAX8DPg8cDzkZYQQogJ4SUq5OVTM50Ep5c3QuWZgF/Cl0DXPhI5/PXTN94zj6TGX/cQKVETi+3C7IXgxzcHFuH5bwQoWE6LJCatV2P5CCJErpZyQUo4LIfKEEH+WXDJTDyUQ5GrH/Om+BKryKAMY9UNepo369TmsLfWQnq5anqd8U4z7Jb/37vW8d0s5tUXZtPVNcLy1n28eaSXN5qC2MIsvvKeOd2wo5V13lHFvXT6ONDsnW0c4UFfAwzsqeeemUjaUZd2W80gLKXPYbRxs6Od4y1BYibR/XSH3bywJW621hKyvXe2dVTFHb0Ew5s/QWx+MXjLaMc2NVfPwsWL5M3r+7F9XyIG6Ig7UFVtSHum9qICo3k+gejMZy2Br9x5PGehYXkpW2mrnEikDumJNiQ+RQm+sYsWKrUJKGQD2LTQdycCje6v5yN2F1Nes4uD1fq50j1FT7KFrdIp3bCphT3UBx1oHGBjx850TzYxP+RiZVPjCezbS452EoMAuBDeGvGwtz+XfT3VQkJGOw2ZjY7mHI02DPLJnNZc6vWyvzGVdcRZn28b4+ZXeMA0+v8KpG8PArRDj020jnGkbZXeNGmasWXj1MPIs/Xejh6WRH1rxONK3NzsWic9pHk6xNhDGzUaiSPRao2yLB7Ge2WII5Ug1v9LL/IWE2W+30J5fywgvoHr7KMCE7i8hCCHyQv1VA6uATNQQtJQhGVWdV6BCrxjXH4u0H7DipWl13LkiUX64wkdWsNgxH++o1VnzbinliPZFSjkMPJQSilIIn1/hjRu9sRsmCTlpkA44QmXftlXkcPTKKNW5GfzkzS7SnZIr3VN4J3ycaRvmatcoDofkkR1V5HnSebNtBBB8bO9qmnsnuWtNHm6ngzc7xvnk3krsNjjWPEzroBcAu01l4q9c7uVI0yD+gIJfCfLUsbbwgm53Tf4sGjXG/40jNwB4/J7qcI6NQ9cHwp5KmkJGK8esVwZp1m1tk2DMnaGF0+kVMUaBo4c+blpPpxXrbSTFkdHSHkmJZHYsUrW1SOMnA4lsNBINj1jMwjCVtBkVnIluHt/qyiMdzgshfiiE+PhSzoGkBIKU5+fxofpVtPZPsiYvk73r8rAhmPYHOdoyQHF2OjZmmFCCjI77mPAr/NWPrzLhV7j/jhLuriwgKCUXukb5yiNb2Vju4RcNA/zxf1xmZ00uVzq9eH0znGkbBSQT/mlevdbD9sqcWa7/Gk63jbC1Ihu7TcQMC9bzYu27Xomkf9e1MGa9cSHSM9H+G3MYmfEds370hRgi9R+tT6uYCx9MZcGAxaJoTiUNiRhdkg2z325F0Z9UrJZSfiRUie3vtL859PcOoFVK2S+lnAH+A9UYkRsKaYPZBXjCxXlC53OAQawV7QGSU9V5BZHXUGbzzarheD5CgY28Id5r5xKqvYIVpBqpWL+YwerMsYfcVgEQQrhRdSNLCkowSP/g/Hgg2YDpGTUboA0oSgffTAC7DZqGJnn7ulIy0jLYWpXDE/evp61/itNt/Tx97AY/vtxJIBgg3+PCH1B47kQnfkWyozqXuyvVTYQrzcG+2kLsNkFdiVqFx24T+GYUXr3Wy10VWbjT0rhvQxGf3FOJy+nAbhMA4Spq2gumr5jmsNs40jTALxoGePlyN97pW0nHNU+g3TX54QWiEgiGNx4aIzbznNErYiB6YulIcdNamFkk62Y0xZH+HqwsJI0CxkzJEGl8s3uyOla0fmL1kcgieb4YTSJINW16Bafx3Vysz2SRw4W6kL+fJZwDyWG3UZmfwfdOdFLkcfH8mRscbhxgeibAoet9BKVk86octlQVkWkXZGWmMzbp5/MPrOfqzVFev9JLUASwCcn+tcW8cLaLJw82s7Uyi799eAvZLid+RdIyMMFdFVnYbTbaBn28fUMZDpuNUzeG2VaRE86D5PX5wwmyteTZWkLtaO+s/rumRDIqxE/dGGZ3TX44f1Kk8NtoCiIzRZbZ/NEKMRivT/aGfy7XpqJggNEanyq+Mp+W+2gw8tP5RqTfbr7pWcby46gQYksS+2sHdgshMkK5jN4OaDlRPxxq8wlUzydQC/F8IvT5w8BrUs3F8UPgkVCVtmrUas7G6tErSCIiraG0c2btrfSXrHZmmKuhNdLYK+vGFSwWzJfBxGrv3wFeFUJ8RgjxGeAVbiWxW1IQNue8jJPjVIO5J4GRGfAHICCD2CQEZqb5ybVuese9VGRnceHmKJVFbmqKs7ELG5lOG+NTAdbkuWnpn6C2OAt/QOHLP7rGl164Qm2JmyNN6oLUblM9jzQLdW6miy+9bxOFWRnsX1eIb0YJl4rWEmFrybK1TYoSmF0xDQRup50/eKiOq90T1Ffmhu/LYbfdZuHWoCmlIsHKy6wXSHpomyVN0RXtWjPFUTx0GJVb0ZRakcbX9xWrBPZcN096K1C8DGMxW2bngzazkJ3F/EwWM6SUnzL5+/RC0xUvlECQhp4xmgcmaB4cAQlT/gCjUzOsys3kd99Vh13Y6RvzkZmRRsfwFEMTfv7qxUvUFGfRP+7j5uAUXaM+0p2STWW57Kkt4uLNMc61jXH55hgg+diu1bzZMc696wv55N5Kdq9Vw9Q2lmWGefa2ihyePXmTXdV57K7J51zHKN4pP1872MLBhj7TsGCNlxhDj/VhbRo0pVI0nmmcD/oE3EZoPMioUNKMDw67LezFGmtBHo+S34zmeGBU8sTqI54QLeNvk4pNxnxZ7q1ioXnnQo+/zDeT+4EzQogGIcQFIcRFIcSFRDuTUp5ATYZ9FriIui/5GvA/gN8RQjQBBcDXQ5d8HSgIHf8d4Auhfi4Dz6Mqn34K/GYotHoFKYTZGioZ/SWrndl18RbbMc7nSMqxlXXjChYL5uM9tJxEWwjxIKqrKcArUsqXU0ZVDCSa9M7nV/jjH77J9073pICq27Emz0bHcBAb4LLB1moPo5NBirLSQQja+sapKc5mf10Rb1zv41rXOJ/cV80rl7q4Y00en9hbxfdO3OST91Rxtm0M77Sf1672sybPjT1N8JtvWwfcYnpPH2/n4fpV5Ga4wvf75Rev8ocP1ZGb6Qp7DGkW7nMdo7dtOoyftRA2YJaFWmOomiLJ51d4+ng7j+1eg8dtTUlnxoyNGxytzcEGNU7dbhOWE2gnCk2BZLzfRMeMde1c+tag5UxZqgIsGc9gBSoWIol2aNzVwD9wKxfSG8DntWSn8425yIn/+f03yfak47BBeY6HXu8UEz4/3WPTBAlgx850QGFmRgFho7V7FH8AivPdpKc5+Gh9NffU5XG5c4KpmRl+dqWXt28oxi7sXO0eAyHZWJpDQ+84n9lfyTcO36BjaJK9a4vo9fr45J7KMB8dmfCRm6nydI2HH2kaYFd1/iwerp3XCg7oeaWR1yqBIAcb+uPip1rfQLjognb8WPMg2ypyePp4u2khArNQu7nMd7N+5wqrPMis4EI88PmVhK6LBav0a+1WeG5qYfZ8F9Mzn0MS7Uqz41LKtrlTNf9YSaKdXCymd1yDFZpiyZTFeF8reOtivt7HZCTRrgZ+IaX876EqO4eEEFVJpHHekBYK45oPjI4Hqc4VeByQZoOBMT9CBlCCQfbVFrG7tpgZAvzwdAerCzy8c3Mp776zlG1VRThtdr574iatwxOcujGM3SZ4aMsq/uyX7mBLRS6bSnPxzSgcut7PU0fbcNhtfOjuUv7yJw28crmHgw39uJwOvvjejWHl0eHGAY40DbCjKg+P22kadmCs6uNyOthdk39beWijtv1cx2hcyiMN+oSbehr035VAELtNsKs6L+XKI7gVqhfLHTee/uZy3ggzK8lChw3MBcvcWvtWwjdRwwhWhf5+FDq2pHCtd5R/f7OHgdEpAgHJqfYB1hZlkp6WRlmui56RKXIznPSPT/Nmxzhdg6MIh41Mdxr1VQV8tL4ap0NwoWOcuyqyeHDzKv7wIdVryekQfGr/Gu5anUcgGMQuVAPOXRV5/I+H1tM5OsmjuyrCSbJ9foVnT97EO3UrlPjUjWH21RbO4uF6pcz+dYVhXgm3csoZoYWUmW1yzaD1rXmy6o9rXqOaUiWad1EsD1GrSDa/s9qXWcEFq9B7giUb8VjuU8lzFxMfX0halmuIS0hRlMutMOXcpao8WkFyEe0dX6j33uq8i+VBtBTX1oliqfOo5Y7FIkuszoh/B/SUBkLHlhSUQJCOwcmU9G22lHQALSMSRcKIAm39ftxpTk42j/LPrzRwsWsEh7AzNOnH5/fjsNn59tEONpRlsqU8jw2lObz3zlXsqSlgX+2tsC6nw6Ymxz6iyuxHd1egBIJc657kvrpi9qzND9OgbUQcdlso/8TsJKx6r6Qt5Vm3JVLVL3jNQq20vvesLYhbeeSw29hWkTMrtEL7rg+F0JRYWlhHNCQ6oYzXzaewiIfmxcI4kokV199lgyIp5TellEro7ylgyWUo3VCSw6Zc6BqdQtgE960vYW9tPul2QUmWi/7RabpGJ9lcnoc73UbLCICNj+yu4q7VeQh7gJ9d7ebUjSH+7EfXGPBO8uyxm/zsShdT/iCXOr3cWeGhbWiSR3at5nzHGLuq8/A4ndiEwGGzhapo9gHwsZ2rwyHG+rmi8Uh9fjbt7+nj7eEE2UeaBsPhyho0ZZBeCaJdG42/RFP+HGseNFVOzCUULVL7aKHS8SIRXpqoB5FZeN98wEy+pYLnLoR8iic8fCGxXOScEOLzqGktikN/zwghfmthqVpBPEjWOtmISO/4Qs7FeOad3hjzVsViVAKuYDYWiyyxOrpDShk2gYY+z08yoSRCCQYZGEu+AikTMMuIMK1ArhMmQlHYq/Jt9IxPsbbIxfqKbIqz0/ntB9YjgYNXB5ic8XOubYjG7glmgjM09XvZsjqbp47c4EjTACMTPv7iJw3UlWXS3D9ObbGHuytzONk6zJOHWtlakY3b6eBk6wggZ20INAu2XeeBpV+I76jK43zHGH4leJuSKFKSPKPHkBmMyij9Z59fzc+k5epQAsFwbiZjvg4rHjZWEl1HojFWnqJEkeycFItRQCcDC80IV5AUDAohHhVC2EN/j6Im1V5S+PrrTVwZgeCMl7WF2TQPjPPM0Q4KPW7+9WATuW4HXu8Ufp8CgSDr8m388l2reeboDf7jfDs/vdxDabaLzatyKcx2cPrGCGuLPdyzrgiPy8GGsgyeO9lJZX4mFzrG8StBjjYPcbpthId3rOJ02wiHrvdzsWOU16/1cb5j7DYF0MGGfp483Ip3ys/xlqFwxbbDjQM47Lawh8zumnwCwSCn20ZmeXbC7aHDGv9IZGGi50uxFjdGORAv30rm4mkh+KbR6zfa2MmgK9I4qeC5yfptrN53tGe4WBbZkJywzUWEzwC7pJRflFJ+EdgN/OoC07QCi4iH5yXCqxdjfiCr4y71dXQysFz3GMsNi0GWWKWgXwjxfu2LEOIDwEBqSEotRAoe+oTJMRfgB+5cnY0N1RtpYCJIhtPGu+9aTVvfBDOBABc7R9mwKpd3bC5lW0UeH9i6msf2r6G1dwq/MsO3j7fhnwmyqzqf3EwXv//gOhq6Q0owIXnmWAf+QABs4EpzsKs6D6fDxq5qtVIaqIlYnzrWxpGmwdtCFjRG4XI6qK/MxW7jNi8kvceSHg67WrL3eMtQxIpqhxsHwhWD9Fbyw40D4Y2PFvIQTVllNr5xLH31ongRLe45leWkozHraNdY7WcFKlaE3rzg08DDQA/QjVoh51MLSlEC+MS9NazNgdqKUo409VGakw4S9tbl8ak91YxMzpCWZufFi73kZ6aR5nTy4yu9fHBzOVc6xvDPBEmz2bijwsOF9hHOdAzR0DPGwcZ+7ijP5NvH2vH7AzjTAAQ7q3PxK0G2VmTzvdPd1Ffmcv/GEh6/txp3iC9rybM1HKgr4vH91bicDgJBeZsyyGG3hY0DToc9nPg6mpJdK79uFXqPJ7g9EX2ka8zKPccDvWFhrkilJ44VxFK0JWPBPt+yIZ5xIlm5rd73Ugg7WYYbL4EahaAhEDq2giUAq2vOSLw60fk9H3Mx2bxyGc3ZuLCyx1iBFVh9Ez4L/KEQol0I0Y5aHeHXUkdWapCb6eKJe9anrP8MVCmaBvgACZxuG8MtwOWAX75zFYMTCj8618HvPbiJpu4Jnjtxg501+XgcDl661MXTx1o50TzKxtVZ1JXk0jXsIyBUJubzK5xtG2VXdR6/cV8t79hYypbVubxjYymfPbAWgNNtI+EEp9pk97idPL6/elYYnFE4aN4/+2oLZ+X/0azWkbyMXE5HOC+GGWMJBIPhJNx6C7U+l4aRlnjCE/TCbUdVnqGanLXro5VYjsY0E3XnNWtnRlO8wssKY38rCkRNYflWvPf5gBBiN6i5MaSU75dSFkkpi6WUH5RStlvs48FQVZ8mIcQXTM5/NlTt57wQ4rAQYlOy70OPVYW5vHyxlwyXnRfOddE3NcWvPXWKZ060UlWaTfPAFHYbSAEzfoU0h+RYWz/71hbgcaYxLQN851g72Rnp9I/5+dCOcspy0vH6A9wcmqK6OJM9NQXYbYLXrvXxb6faUIJBNpZlhXmkxic9bicbyzJ56mgb3il/+F2+FUal5lHSwpQ1JZA+/FfLl2RUzmueoBoPNOZUigRtTh1s6ItrbkVaoMdjEU/2ZnwuC+JEFSBWwvASMS5EOrcYF/3RPKPi2agsxnvTYxluvL4JnBBCfEkI8SXgOLcqpK1gCcDKmtPsvY1XeTSfitNkKtyT2d9ywjLiYYseS+G9s/Q2SCmbpZS7gU3AJinlXillU2pJSz4Gxif5x1cbUhZ7N4m6lJ8BCtNhTR5kp0N+tgOnA757pougP8jvvXsTf/7jK9xV7cFus/PS+ZusKnAzOq6wd10hu9bmsKemALfTzu++az1uexq/uN7H6w29vHixi1ev9YbH3Fd7SylzpGmQQFDdTJgJA33yTr33kHZMX9JZ21h848gNRiZ8PPmGGi6hVzjpEUljfaCuOKxcMgoivWeT1fAHPYwMPpFE0vrx4nH1n4s7bzw0JYJooXgrAnEFKcA/aR+EEMfivVgIYQe+CrwbVcZ81ERB9KyUcouUcivw18BXEic3Orx+P02945R4HNSVZpHtTqOhZ5zd64vYv7EIpx3y3DacAoa8MzQOKQQUBV8gwBuNA9xdmcuN/gkON/RSXZjJF95dx/dPdfHqlV6+8N3z1NfkcbBhgJOtI9xVkUXX6DR/9/AWCrMy2FWdz6Hr/YxM+PjGkRv4/AoD45M8d7KTtcUZOOw2pkKVMW95/wiUQBDvlD/M1zVeqnlmGmWBxt8PNvRzvGVoVtiwVc/J/esKZ/F3qzAu0OF2T5xIiplEPJYShRUlWqIKkER5fLTfZqnx92jPYL43Kql+Zstp4yWl/AqqZ+lQ6O9TUsr/b0GJWsGcEGkuxvL6j4VIBolUzLdkK2qXoeJ3BUlGMt/jWOGiVtYj842oM0MI8f/pPn9eSumVUnpD359KLWnJhxIMMjE9Y9ntKlE4AX8AvH4YnoSyrHR21RbgsENGpoOjzQPcf0cxLV0+HtpcRmF2Js1945TkuaktzOavftzAP/+ihR9f6OTfT3XyyO5ybgxMsaemgPs2FPJ6Qz8/v9rD1w61cOh6fzhMTKtU5nI6wuEI+pdK21ho0C/ktZAy/QbCYVdzaXhcTtYWZXKidZiDDX14p/yzwtH0n43QK4riDctKxMMnUYVNpP7iGdsqIj0rM5oS6Xsp5ISYT2ib3bfafc8j9OELrgSu3wk0SSlbQvn1ngM+oG8gpRzTfc1Ec7tJAXLdLrasyqZ72M9TbzQzEwhQkp3OzMwMRxqG6B/z0TumMBUAabORIWB4KoDDJqgrcdExNMXYlMJj+6v5tQM15LrSWVeSSX6Gk4JsFy5bGnYbbCrP5Gr3BB/eXobH6cQ75eeNxgFeON/J4aYBHq5fxS+u9/EXP2ngkZ3lPLCpDIDmgQnqK3MBNdw4EJS8fq2f//nCJV653DPLKKBXuOj59MGGfg5d7wcIeyjpQ9isek4aDQPxwGg40BBp8WT0Uo13U5KIZ2osmTUXBUgsmWfVK8DKucWKxUDrQineloqiT4MQYocQ4t0AUsqzUsq/l1L+PVAmhNi+wOStYI5IpneR3jhg9ABPdL5ZaZ9sfrIY+NMKFieSKTeMfZl5aluZb/MtU4SUkdfhQoizUsq7jZ/Nvs8n6uvr5enTpxO69mBDD5/45pkkU3QLGTbwBW+VrEtH/SyBX99fyYiicKPfS1WRhxsD42wqK2B8aobm/nH++P2bePVKP2vy3TjtDgLBII0943z2vrXhRfZrV/u4uzKb3AxXuAoPqKWdN5ZlcqnTG94saxZbbcNgt4nbNtL6NvqwCJ9fmRXudrhxgPrKXE60DofLP+vLNYO6qDezJDvsaqWgUzeGYy5wtYmgbWa0zY9Zn9Fgpc1CQHuWQMqUGov13lcwPxBCnJFS1s/jeG8Cb0M1SLwW+hxWKkkph2Jc/2HgQSnl46HvH0dN0vo5Q7vfBH4HVUd/v5SyMVq/icqJk639PPwvJwEoyBBsKsvl/royvn2imcDMNFVlefinZ2jqn2LT6kzeaBjj8/esZUtNDk986yy71+ewJteDK82uhrMpQTaV5QCSXWtzudDhZVN5Jj8428MH7y7lr39ynaCQVBdmUl2QyfMn29hamcfmVfk09I5RW+ThPXetmsWr9bxZ+3/oej/3ri+a5X1kVN7r5QEwK6xZaxfvRsJqe6tt9bRGOm7sS5MbsXLZxaNgmW8+akbjCi+fHyyG33q+Ea+cEEK8hupt1GY4Xgl8U0p5f7JpnA/MZT+x1BDpPU/k/Y91jV5eHW4cmLXejXat2bm5zJelxkOXGr1vZSTzt7I6n+aDFj2iyYlYo4kIn5cs8j2pLR43GVIepQOZdnh8/xpqipxqpbXWQVp6xzjZMsqZ1kEudoyTm26juX+c9WVZ/OvrrazJd+NOS8PttLFrbS6ONBtvNKreQF6fnyvdo5xqHcHr84er9TjsNrZV5PDM8Q78irkGUlP6RHNR1YcwGMPdtFwcB+qKbstdpLUxLny185ryyOgBZQatHy0cDWZbm61oWueijbV6TaKaXu1Zxqs8ime8FeGzgnlGDnAGOA1kA2dD37VjSYGU8qtSyrWoOfj+2KyNEOIJIcRpIcTp/v7+hMbZVJpDgQA7sLrQzc1BLz7fDNN+P21j4LHZGPcp1K/Oo61/GgGc6u7nH15tYmu5kzSbncudI1y8OcKDd5Zw+kY/l7pVHdrRxhGudI1wpdNLVaGbK50TVOSrYW6/+bZ1PLRlFf/46HbuWl2geimVZeNxpeH1+XnycCsHG/pnhaBpyiKX08G964vCIcj6ZNl6Pg1aaHERB+qKblNEWfUENXqfxoLVtkZajdD6MJNjsZIpJxLenGzE8j4186i1yvujVUONF0vNO2aumA+ZadWTbBEjy6g8AjX3HVC4APSsIA5E4sGJrpetrOW1/8b1bjTlUTLyosXqL17MFz9cKE+SuSLWfmwhkcrxk8m/rc6n+aDFKmKNaBNC5AkhCnSf84UQ+ajr6yUF75Sff/x5I+kp6t+h++x2wv2bCvnp1V5Kct184K5SfumuNbhc6WSmwcbVOdyx2sP5rnF+6e7V3Lkqj/J8F067HafDxl0V2Tx/qotHdpbT2DfOgHeSp4+1U13g4WrXGF8/0sqGsgyu93rDC0ebEOxdmx9edOoZkd4ryWxCGcMJIoWG6cMNjO3M3O30yiC9pdsMxk2MGS1WBEmqhc1cmXy8YR9LVaisIH4sxd9YSlklpayRUlab/NVo7YQQd0ToohOo0H1fHToWCc8BH4xAy9eklPVSyvqioqI470TFtw+3MijV0kJNHZP0eWf4/pttfPiuKtYXOshId3Kpx8dLDQPkpisEgObecXrHxrnU5ScQkBR5Mnho8yoauscYm1SYUeD8zWG+e6qND+8o5971RbjT0thZnUttiZvvnerCO+3n1I1hXA4HToeNQFByz7pC9tUWcL5jjE/uqWRXdV7Ig6iPrx1sCVdm0yv9tc87qvIA80pneh5kDDHQoPVlPKdX8ljJXaSnwaoBwaxPs/swXhur72QhUePE4caBiM9aH/JhPB5rPC1fYTQlUjzGkVTJm6XI35IBs2e6xJRHAHlRzmXMGxUrsASrSphoPDdZiKYwskJjtD5ijTtXRe18rr+XomI52vNZ6L3LQo9vhsVEy1wR6y2NZlnOSi1pyYfDbiPDZWc6Rf0rqFq1LBtkumyMTAZw2IK09Hl55UoPB5u7KMiwk+G2c+3mKL2jM/QOjhEISo409VNTmI3TYeOO8kzOto0SlBKXw8G6Yg/Pn+xiXbGHt28s4tP3VGGXNi53enl0dwWn20Y40Tqs5ityO8P3qm0gtBxJatWc/vAC1ox5Q3yucJEW+lvKs2aVhI4lnCJtYozXmn2PRZdVzGWTk0osRaGygvixGIVdkvHtCMdPAeuEENVCCCfwCPBDfQMhxDrd1/cAUcPX5oL31a8CoNgFExLsCrzvjnK++2Y7k34IOgJkO6E2z8ak4sAJTE9LbNj4rbev5QsPbUSKAC+evwkCnjiwjm0VeXSP+PBk2LjYMY4SCBIIBjnYMMhLF7uZmJnhmWMdVBe5ON2mJtd+9VovbzTqvC+DQb5x+AZHmgbYXpnLhrIsTreNhD2RzAwAmgeo3htUj0gKh2jvonEsrX00C7d2nRVE8mLVsNBzZC4W+0jep3rlWCKls11OB5/eVxXRSBMPzamSN28B/nYb4v0dFzl+LoT4cyFEOBpBqPgyaujyCuYJiRo5o3loxro22dB7yVqhMVHMtb+FWO8vJcRS+i0k31vo8Y1YbjIw6lNNgmV5UcE3o3CpbSBl/WcKKEgHRcLQeJDL7cP0j87g8wfYVJrBkNfP8eYhxiYCTEwrfOkDm3E402gfmmJHVSE3hsaZ8gf5qx83EAjCIzvLudg5zn0binniQA33bSjmXMcorjQHn71vLQfqinGlqWWa7TaBy+kIL7Q1K7TPrxAISo42D1Jfmcu+2gL2r1O9jeN1Z4300hst1T6/wrMnb7KtIue2iTsfEyjSBsYKElGczQcWCwNcQeqw2IRdCmAaBi2lVIDPAS8DV4HnpZSXhRBfFkK8P9Tsc0KIy0KI86h5kD6RKiLHfCoPdTvALaC0KJ2BaYXakgxGJxT6RxT++le2ku52cb1/ms2ldjauzmFkMsCzx1v4wnfP0Tc4zpBPYXwiiDvdxvbqHKoLM1hflItPmeFo8xCBIFzpHuXGwCQVOR7W5GfwNy9dZ3RqGk+6k3duKiMQDHKidZj6ylzOtI2wrsTDrup8zrSNcO/6Iuorc28rlgC3PIx2VOVxpGmQI00Dt1Va07xWlECQ/esKTUNsXE5HzHBbjfcDt3kI6QsuxAO9R46+IIR+jixUWMJc5mk079NY3r9GGOk35iS0SrMVo00yEM9zWw4LbONaZxnw9d8FaoAmIcT3hRDfR1Xkr0flySuYB1hZQ8+VR6V6HaL3kp3rOPPlGbSCyIgVETIfiCb7FguW2xo/WXcRybK8qKAEg/iSlybgNkxIGJ6GVTk2SrJgaEZVJhVmOen1KlQVeqgtzeI7v76H++9YxbeP3aAwy82avAyOtfajBCS71uawJj+DbZVZ/MfZHraUq45eWm4LbUMAt9zWgfAGQHNjd9jVvEjnOkbZXpnDtZ5xjjYPcbzlVj5bq+6sEFlo6a0IgWAwTKveG8oIM6GhWWfn4kZrZgVfbhrfFSxvLBfBEgERKzZIKX8ipVwvpVwrpfzz0LEvSil/GPr8eSnlHVLKrVLK+6SUl1NFZLbLQRrQ6wUpobV/mnPt/dhkGqsL07kxMMYXvnceu5wB4PpgAL/fR5qAXq/k5ugUQUcaDmZ44c0OfnD2Jn/700bWFefwiX0VvHatnwn/NPesK+DX31bDZ+6p5nBzL8IWpDzXzZUu1UNpR3UOLQNeAkGJEgwCArvNhk9RuNo9jm9G4VzHKNsqcgDVIDAwPjmL992CuM3LBQh7rehDoIwb3niNANo5n1/h6ePtYUNCNB5sdk6TQ1oItJ6eWN5OVo5ZyaUXCYnMU6syyKqCJValOuO4es8uq9ckG1YUWMtFZi+3zYKUckJK+VHgAeCp0N87pZSPaNWZYekYlJcq4vGU15CIt2QsWOWdZl6uegPFXLBceMUK5gar70Gy3pO59LNc5AEkT4G0JBJsO2w2cjOdKSPWHfrfORpEwcaWUheTM1BTkk2m08YvrvXR2jNOXkYad5XnYRc23ra+hI7hCcrzXdgRXOhQE2pf7pzg/VtLONk6zP/7RTMjEz7VlX9G4XLXCK9f6+dE6xAf27k6bHnUu7ErgSDnOkbZUZWHx+Xk0/uquH9jMbtr8oFbGwh9KFs0S1mkOGm9FcFuu3XOTDBolmp9mWnjGPq28Sxs9RbreHMmrWAFK1iBhqtd48wAPiDHDTNAhsvGjf4RhBAEAgG2r8nhUvcMbsAuoHXAz77aAtIdUJbtYmN5Nl0jAapK3FQUZPC5d6yloXeMUZ+CDMLrVwd4o3GQY81D2HBw6eYICPjA9lVc7BzhZ1d6eO5UJw/vKGdndS7PnOhge6Vaye25U508eGcxFzvH2VaRw4lWlZ9uLMvkv333Aj+91IXPr3CwoZ8jTQPsqs5jX23BrJBizasH1AX+uY5RHtu9Jhz2Fk0RY+SpeuW//pzekBDLs9VM6a+HFUNHPEoVvTLNDMnemJjdo1kbq4jkqRTrmZh5xVh5jqmC2VhGmpby5nA5rjuklC1Syh+F/lpMmiwJg/JSRjzvVSLz2cpG3Ao/j5abLRlzY2V9vwKw9h4kS64tNaVlKukUUkY0ClvvRIizUsq7k0CPJSRadlMJBHn2WBt/9eIVJlNAl4ZsB7jTYHwK8rPTEEKyc10+17vGubuygE2rsrHbBM29U9QUZXC0eZBfPVBN9/A02ytzOdk6gnfaz6GGAfavz6d90MddFXlsr8zhfMcYm8s9nG0bJRAEt9NOfWUuTx9v59P7qsLWWf1E0sILdtfkc+rGMHvWFoTbmJ2L5jJvZo3WW5djMfJY7fRjGMfTFFCRQirM6FsqWMq0r2BxId7yzPMFIcRxKeXu+RpvLuWZ/8u/vMyRVoUsB+RnQqYrnZbeaXI9qmeSC5gKtbUDpVmCgiw3ASmor8qlPDeTlsFxekd8tA9NsbumkNeudONxp/GVR7ZRkavmnH3mRAcf3FbKtw6385l7K/mblxp54r5quof9bCjL4PlTXawrzsJug/s3lqAEggxMTPGH37/MVz5yJ550J//vF81sWZ3LgboiRiZ9XOr0srsmnyNNgwSCEqfDFg5b1iv9gbBH6u6a/FkV2SJ5HcW7WI/Gz/XHzHh9rMWg1esi9eXzKxxvGYopT2Ldg1Xo+zM+S+Mxq/cfz7jxXBvPc5wrovWb6Hu3EFhqMjxVckIIcU5KuS3Z/aYKc5ETixFznbtW51yseaud8/mVOXsaLSUsNT7wVkKyfptEZOpCIBnyM5qcWHx3nGJMzygpUR6tyYIsu7qZGFNgeAqc6fBLd65i3Bfg+s0x7q4qpCI/k394pZHnjrezKj+djoEpPn1PFb///EUqi9ycaRshEAxyo3+Sgqw0bvRN8djeNeFKPH4lGFYeOR026itz8bhVDyMlEOS1q3187VALBxv6gNmJO7VQACCcU8J4LtZCzsySa2YxjgTNSm1ljHhf+Gguu/FqYedTu7zUNNorWIEZQglVHxVCfDH0fY0QYqd2fj6VR3PBV1++xpFW1WI6oUDbKAxPzrC5MpOAArvXpDOFyusLnWq1toFxSYYTSrPT6R+b4m9/ep2pGYWhyRlW5bpwOmx8cvda6mvy+fMfXuWnl3o40zbKe+8q4Zkj7biddlwOB8XZTn58roetFdlc6BhnXUkmdhvcu16tKHekaZCLHeN85SN3kpvhAmDTqmx2VateoIVZGWGFyIG6Iu7fWDxLQXLqxnA4F5JeNlgxAsSSD2bHovFzffizmYeRsV+9F41WGEK7Ppb3rJEuJRAMKdiih6lpY2nXRCr0YAXRvGL1x2J538brnRvp2VqhVd93qmRUNHqWiofBigyfhblbpVeQEKKt0yO1NyLanDN6CkaC/txbTXn0VuAD83V/yR4nWXIk2R67Vq5NZA/rsNuSkmcsEpLVqz9J/aQUSiBI+9hE0vu1Ay5XGkqo9DOoD2RkGk53DrKlIgcRCICU/PRiN//48e38ys41nGgZYhqFVy/38/D2Cl4830MgCPdtKObT91SRbrcTAM62jQFqnqOd1bnYbQKnw8au6jzOdYyGX6ynjrXhV4J8el8VB+qKZy1YjZ/1IQz6c8bnpSGaW3myFnmx+tGHShhh3GjMJQ/SfAuBhV4kp/I+l7sgTRWW6HP7J2AP8NHQ93HgqwtHTmL4zH21rFMjfQkCxRngnwninfRjA461q3U8f2VHCaN+SAdKM6Cpz4crzcHPLw+RboPGLi8jo5MMeac529rH82fbuNAxjMMR5AdnO+kfm+ZvftLA69f7eP/dZbjSHNyxKhebTaAEg1zv9bKjKg+7TVUqeH1+/EqAn1/pBVTP0tev9RMIwum2kVmKFM2zFG4pQjQ+ozcWaDxHKy9vFmpgZiCIxm/1iLYR0XtCGfs09ms2hj4MzahIigR9P3abYF/tbOVZshCLlmiKrlhhZWaLwmTKrHg2lfPBpxZizHihfxeTjcV4vytYnIhnLRmNZ0RSui9F5ch80pvqDftiwHy9B6kcZ659JnP/a+U+E93D+vyKaZGVZMHSHS8Xy7JvRuFMS/KqsBWEckQHgN6RGWxByEpTj9lDbRq6vUwrftrHAxSnuxn2TvPCuZs093h5YGMJH99dySO7yhma8lNd4GHvWjWUwJXmwG63s67YQ0AGON4yhM+vhHJhqOEKHrcznKDUYbfx6K4KbgxNhL9HW8TG43FktO5GOzdXxOon0mZEbxk2TuhEJvh8K3RiuQqnCqlm0ktxwbHQWMLPbZeU8jdR0wchpRwGzDPpL2K0DI7TOHTre36Gk6KsNLqHZxj3g0dABtDcM0GmEwo8gt4pGJ0M8urlPvzAZAC8foXVRVmU5bkpys6gvMCNlNAzPMUXP7iJnAwHb99YxmO7q3nhbA8vX+oBIfnkvkoudXp5dHcFb3aM4532888HW/iTFy6zrTKbP3hPHZc6vWwoy6CxbxxEMJzbTs8HjZ46WoJsM0XM/nWF4TBmo9zQL4rNNhLG89rY0ZROep6s0RYtF47xsz7nknbOKJeiKUK06nJavsBoGyn9WLEq0umfezK8lcyehaZ8i3cRa9XKaZZHyoymheBTi503Jpu2xX6/EbAkDMrLFVbXrVbXxXpebmZENv43Xhvp3HxgPrxDjLwylRv2xYB491NWDDvJGMcq5vpORFpDJQor9xnvszAaC1MFq3e9LCzLHpeTh+4oT1p/gzoxOTEDTidk2qA8y86GknRWZ9spyHByo89HSabgTPcAmel2OgZ9nL0xyNCkn9/97pt883Aba/IyaR0Y56jOylhblEn78CRIW3iDUJWfwZm2UYBwlRutVLIrzcHj+6vDVXUONvRFXcTGemE167DZZIl0br5h9d7iYXZWw/HmA6leQKbS+2mhPauWKpbwc5sRQtgJhTAIIYpQnXiWFFZlu6nIVD9nOWBjaS53VBTgU0AJEvY0PdXhxWmDinw396zPw4Z6bn2BIACUZqUxrQTZVVNETVEWQtoYHJ2ivMjDtU4vV7vHaOwfo33Yy7R/hleu9PKzK714/Wp1N1eagwn/NI3dXtYXZ1Ga4+bZ4zc51TqK1zfD98508/COVbjT0sLvSiAoUQKqQkmvQN9RlcfxFrUKpxbCZuTp2mLDyHO8U35O3RgOK3mAWYsSbdFsDEkzbjb0oWDamGZeUZGgP2fmCat5NJkpcMwWe8bnY/REMjOcWPF+1RRNVpRN0WDk+bEMIrGUR1bkiNnvFk25lqoFvlX6FhNSQZvZ77HQWC4G5RXEDm0z8nIjX9D2Hnojhb6PSMYBs7GsHrd6Xru/uXgEGfmfcUwzY4qV8L+ljnj2U3MxpizGfclcrk9kLx5Pm0jtU7WHtErRsrAsK4EgbWOpSZ+tAF4/eLLSKMhK5713VbCmMIPuET9ryzxkpKczOD5DeV4m+9cXEgBePN9JbakHUEPSHt2zBqfDjs+v4PMrdIxM8ejuCtxOO0ogyJNvtHC1Z5xAUF2E66uuaSFpSkCtfHCkaRAQszYSRk1wtBdK2zQogWDE6mtAXMw5kRc42jV6ZU+8i/VoE3kxLVDng57F3PdyErrxYLG8f3Hi74H/BEqEEH8OHAb+YmFJih8dI5N0TIADmFbgp1f7aGjrY02+E5sAKeBDdxfhAoZ9cKJ9klcahplG1ZwNTkJdkZM7VhdyX00J33qjhYJMJ1PTfu7bVEptYRbN/RM8vLOcO8pysQk7G1Zl82e/dAe/8851/P3PW9hQloESCPLKlX4CwIG6ArZX5rG+JBt/QMHtdPDorgqudU9SX5mrUyAF+caRGxy6rnra6r1ndtfks39dIR63Myrf1lfWHJnw8fTxdrZV5ITljHadtiiMZO0yygztfyTrXbweLvrzej556sZw+F41pVCsfowKMLONg9lGwuj1pKfHqJCKBz6/krDxJ1J7q3LEqKiLFVaeTET7rSJ5Qs1lrGQjVRseWFTeSMvCoLwCc5gpfsyU1Tuq8sKVnrXvesOEmVyIpYCJddzqeX27uXgE6flfLC/ZWHRYnbuLYH4nDckypiQbc6UlUeXRfPJvK0rNucJqj8vCsuxyOnhkR2VK+rYBbic0DcwwPTHJc8dbaegapyzXTnZ6Ou/fWklpnovfeHstPcM+6mvy2VaRx8DYNEEZ5FrXKKdaR9hakc03jtzgROswj+6qIDfDFfY+2rQql82rcti7tiC84HXY1RAAh93GtoocnjrWxqHrAwSCQXZV582qrHOwoX+WFTiSq7p3ys/Tx9vZUp41q/SzBr0Hkp45W1H2xGqjRyzLhZllxApi0bKYGB0sPnrmC4towbwCC5BSfgf4fVSlURfwQSnlvy8sVfHjJ2duAqpRINehhiX7SKPf62dawrSEfzvbj49b2WK1Gbqz1oldwKaSPPwBhR9cusmagnR+frWPisJMRiYD2LAxNePn20fbVGNAMMChawOM+Pz85EIf//UdNTx3shOv309FjpsNpVl4XE72ri0gIAP84lo/d1WoxwJByem2kbAs2Lu2gE/vq8LpuJX3yOdXeO1qb8ioQNjAYDQoaNAW/d4pP8+c6OBjO1eHQ70iLcajWbu0OHyt0puZQSJSn/ocSXqYeTkZPZpieezoxzHLDWVUhuk3QWaKq2heV5Fgdk6rDhcIJjcX8VwsrvOFSL9VsmVBsvqbzw3hIjJuLQuD8lsVVr0QjbzaeJ3+vLYHiRYuY+aJEslDyArPtmK8Tsac0QwBesOK8byGSHwlFYqmpYJ492fzjfl61om+i4k6XsylIJVVWO11WViWvVN+/uHVxqT36wCq821kpEGmHWzpTtzpDnwKDE4E2F1VRPuIFxm08eX/vMCZjiH+y+5KHj9QTZrDTlV+FmtLM2js8wKwoTSL7ZU5nO8Y42BDP4eu9/PU0TZ2VufidKihBloYAtyKS/a4nTy+v5p71xdit9nCiVVBfaHstlseSWaLXc3qcLpthMd2ryE30xUx5tk4thWlTLQknGYW3kgMe66wMpGXEwNfqlhEC+YVWEcGago4G+BeYFoSwmfuqw0T7hOql1HT4DQ56QIJiNC5EqdqRUlDzYfnAC60+MlyCV6/3suFmyOU5riYVATl+S6ONQ+RlWGjqsDDmfZhztwYwq9I0u12tqzJ4h9fbeHh+lV4nGlc7R7h62/cIAC0Dk7g8yu80ThIY7eXe+sKeLNjHIBd1XnUV+Zy6sZwWPEPUF+ZG86bd6RpkEs3RwkEb3mnXuwcuU1Br/foVAJBTreNsL44C1ea47YcGJplMZJlWpMJej6uGTO0a7ScTJFc3JWAWinNeE7vnWPm5WPGL6xsNIztzGSaWS4Qo8eOdm00KIGgqYFEe167a/LZV2ttw5EIonn4LDQi/X7JlAVWN6DRYNUolswN4SKRhcvCoPxWhNX30cjboilGjHNT75Gp59NmnihGo4RRuRTtPqwar5MxZ/RKNSvtEpFBsa5fQfIx3wo7K7+rcT2QCH3z9R5Z6n25WJaVYJDRqRkqspP7UPPc0DYUpGcCPrajnMJsN21D00wqkOmyoygBjjQOsKsmj7vWFLChLIvvn+7iXNs4b6sr5IULHVzr9vL+baUca1Y3FSdbR6gPJcu+f2MJj99TjcflBNQcF3rXUT1cTgcup4MDdUWzXPi1RanZYlf7rL1wgaC8bbGvVzCZef5YeWGjWRXNrMlmDDsZk8uMlkh0pQoLvVhf6PGtYkWQLh2EcmJ8C8gHCoFvCiH+eGGpih+5GS4e27MagEIPuNJUTVjbuCSNW15HvX511zQDjPihPEvNkTTmk/zNR7ZRlp1ButNGbX4WbYMTlOfaOHxtkIvdQ0xMKdyxOhu7TbA63833T3fyqweqcNhsHG4aYGjcz83hKTaVZfPJvZUowSCXb44QtAVJs6XhVwL4/Ar/cqiVE623FDSP7V7DidYhTrQOEwiqfHV7ZQ53rclj79oCznWMcldFFlvKcwFmefgYefD+dYXcv7HYtGqb1t4ITdYY8yUZ+bjPr/CNIzdQAsHbNhZ63qQ3emjnjjQNEghGDolLBswMGGZyT99e/xcttFrbWB1vGbrNw0o/htHby0zBlsi9R/I+jhRKEk+/icLKtcmUBUogyPGWoTnRbEUJpf89l4rMtYBlYVBeDpjrxtLqfLfiERSrnZFvGtf9kfhSJFg1Xlu5Pyuwyn/myqdW1rzzh2QYEpIJM8+hRBVB83FP8Yyw5C3LDpuNLLeDnrHkCvL+KdX6XJYJP7rUSyAgmQpAfYUHEZQcbR+gNNfJyxe7mFSCNPZMUJ7jxumw8Y4Npdy1Oo+glHzlpUZevNDJhc5BzrQNcqJV9fJx2G3hBXggePui5GBD/6zFq3aNGVOPlMdBawfqov22Z2efHeOcqIbd2D5Szgyz73ollvG+kolUa28X2k11ocdfwbLFfwF2SCm/JKX8E2A38PEFpilueH1+DjapOYRahmFVlp00hyr4ZqJc1+uFaaCmwMM//uwyeU4nPv8MbzT14k6DgQkozk4n3WHjvo3FbC4r4GBjH+60NB7ZUcWPznbzxReu4FeCPLxzDQ/eUYbTYeNk6zBPHW0DAZtK87DboKF7HK/fT+fIJNsrc8K8HcCvSPbVFnCgrhglEOTZkzfZVZ0Xrtr5/Oku7qrI4qljbbx+rf+2CpZGxb7+eCzoFf8abzfjo/r8ffo2Rt6kVUrToHnS7qu9ldspVUlLzRRfkcY53DgQDhHXrtXoM7Pa65VmZnk1jLLRjGcnKqfMNpFmfcWSE8aNXqKJUlOpBEwljF4QkRDvJnexY7kYlJcSInkMxqo6aYZIvDbWOxrLu9K4j9D4XCSeaSZjrCTwt7rJTpbCfQXLF/F4ss0HzN7lxaLcMoMlypaLZdlht1HkcUbdBFiF3fDZB2Sm21hXmsGONerCzy7VMfuGvAxPKjy0tZyxyRm++IFN9IxNcVdFFkowiDvNzubyHL74gY38rw/cgRA2uod9bK/MmTWmEghyvW8cr08t/6YpU672jIWqrvVHrTxjpu03utFHYvpKIGipUk4smE1Qq0zdqMTSjlkZI16aUjlp58u9cLGOv4Jliy7ApfueDnQuEC0Jo2tsimv9vvD3hqEA0wqsL7ZToMv0oc0egapY8oVck67fHOdKr5+XL3YxMKqQ5hA4bGlUFWbyR++7g7GpAB/eUUFOhoP9awsRtgBnOgYpy8mgIMtOY6+Xtv5JQOBXJHvXFvDJvZV89m1recemYu7bUMym8mzOtY3z+w+uC3mmwsayTN5o6uenl7rCC3OH3can91WF57rH7eSx3WsozMrg0V0VOB1iVhJumM1nNWV9oovvw40Dt1Xm0aBVCzXbDMCtcDH9tfpcSnp6jTDbHFmlXe9BFK2NfvzdNfmzvH5jbYL010bjxZE8dPXXJwIz+sz6jqacS9ZmLBXyyMpzj7TOsYp46E7VPS4glrxBeakg0rusvVOa8jaSAjce3mMltUM8Sa8j8Q4r8yEaz4u1D0imwn0FyxexPOAWiqa5Yr7uwSqly8Ky7JtRuNIxkpS+ArrP2Q41D0b/WJA3b4zxnVNt2IGuiWl+ZWcVE/4gY14fLrudmWCQ755sY2omyDeP3OBPX7xKRV4G13smwklO3XYH79xSEs49oQTUfAmuUOWdZ453oASC7KjKC+c9cjkds9z9I1kEjdp+M6VQNM+fWFYIM0SzcESyfEZCLCVWvExgoZjGXBau8SCWNWkFK0giRoHLQoinhBDfBC4BI0KIvxdC/P0C02YZm8ryeGBDZvh7iVP1LLrWF8Dvv9VOm1laSNuq0CUBu6pQqlqVScvAFFlpaQyPTTI8NsX//M+L3LUmhy/94DID3ineaOxHUQR7qos41trPxY5Rago9VJVkcKV7hGdPtvLSxR6ePtbO0ebBcHW1TeUefnq5i2eP3+SVK928crmXP33xGv4Zyeq8jNtkwDeO3AhX9zzXMYrPr3C+Y4xAEE60Ds9SsGjGAqPHqdE6bLaJMPJTv3IrVMh4TkuubXQhj+ZZpPcKimU11C8M4y0lHI+M0RRbGu16RJJvenoijWO81oqFPV7E2lRpzy/S5tXM2yBROpIJqxtUPRJZC8RD93wqyFKJ5WJQXiqI9S4bq07qYaUQDcRWmpt5+0Rax0d7J6O9t5H2B2aItQ9ItsJ9qSMexeJSQDJoN/OYS4WCMVFa53JdIp6JicDqk1oWlmWPy8mHt1fPupG5otQNw4qqUHKnCYICqvId5KRDjjsNpy2NHLeDvGw3d6zOJhAI8urlPtbku/nVe2p4YGMpToeNCf8Mz55o4+kj7Tyyu5wHN68KM0n9BsDjcrKxLAsgnCRVqzhjdPeHyIts/cLVTHljZOL6zYReoRQLRgtnJKYeTclkRCJWi2S1TwVi3XOsjVKi/SYTS1kYrSBp+E/gD4HXgV8AfwS8AJwJ/S0ZfPqeTeHPvTql0bihnT7Yd2hC/R8IwNZSF83dE9xdlUlRXjpjM5J3bynn0T2V5LnS2VyeS+eIj0JPGs0D49wcnuALD9WxvTKfoAhyuHGQ2qJstpTn0Nrv5UPby9i7toBrPWO8fKmXv3npOvfXlfLY3jW409LYUZ1DWXY6+9blc1dFLkCYP2u5kYBZCa33rytk79p87DYxi6drPENTImnQbza0kC0tEbZ+A6Lnp06HbZaHk74ksjG5tpHPGeWSWbiFllBbo0NTkuk3Q5psjBZOof+shaEZz+mh3Yd3ym9JCWNEpISyVq7V2kZ6HvEi0jPR/iIp3yLJ8XhlTqpkR7zGrsWwFrCKBaY16QZlIUSuEOJ7QohrQoirQog9Qoh8IcQrQojG0P+8UFsRMko0CSEuCCHu1vXziVD7RiHEJ+Z0l4sIsRQl+qqTGiIp6OH2OWFmINC31W9II81zK/NfGwdujzxIZO0+l/PziYVcH5v9JmbyI5njpRKJOAlY7SMVyqNE8nPNZe+mn2PxGs7ihdWntSwsyz6/wun2QdLTktfn8BTkOqE6TzA+LclMg/ahGTLS7eRkOHjxcgdBYcdthz/5wSUe3FLKbz2wjp4xPw6bDbvNxoXuYfq8Pj50dzkf27Oa5092zbLSOuy2WfkiDtQV47Crya6PNN1aPOvhsKtu9ZqSyaiRjJQLySysDbgtkaoxxCESYllR9eNGUzLFg3ivnctYyZiY0e452m8yl36TiYW0hq5g8UBK+a1ofwtNXzzI99yKVdPXpzbWqtYXWs8OBXJMSLjY46PUA06Hkz1rCvH6ZvjOyTa+d6qdS11qdbOP7qqgzzvNr+xYrfJVm0AJwrHGIX79vhpyMhyk2R00D47zlz9pwOv389ieNTgdgjUFmexbl8fV7gm2VmRzvHmE8x0jHG8eJhCEn1/p46ljbdRX5qIE1Ipqx1uG2FaRM4sfnOsYDSt4tI3Itgo1dFoJqN5D2gJEP7/rK3MBOHT91gLFrLDC7pp8znWMMjLhmyWDzJRHmiIoEi+J5BGlycHXrvbxtUMtHGkaNPVqMsJMFhrPR1p4g1rV9csvXg0rkaxAf73Rm8tKRS/9/RjlqjGsI17o1wHawhPMlV2REK/MSbXsiLf/xbTpjIUFpDUVBuX/C/xUSrkBuAu4CnwBeFVKuQ54NfQd4N3AutDfE8A/Awgh8oE/AXYBO4E/0ZROyxmReJuRx+rPRds8G5XRZkofjd9Y8bg0jq3JCDPPzKUy/+JVkC/k+tjsWRs9xpJF33zcazwyJtq7Ph97I6vjGOmcK33aHItHdicCIaWM3SiGJn++Nwf19fXy9OnTcV+nBIL859kO/unnl2gdTXx8weyNQ1W+nQy7nWGfH0WBndWFdI9Osqm8gN6xSab8AS50jOB2Cr7z2X0UZqTz1JEbPLJrNUcbR3j+VAu/VL+GziEf60uyaeof57MH1uKbUfizH1/j7RtKuG9DEaB6HWkvhHfKH662AwKnQ31h4JY14HDjQPgYEP6uWZi1F1dvGdaOx3rpNAuHWULOaDBrs9DCI5Hxjc8uVdBbfRargF3MtL3VIIQ4I6WsX4Bx1wF/CWxCt8GQUtbMNy2QuJwAONzYy6Nfv3VtnhOGQ55IHsCra2sD0gX4peqJWuCCmVCiPX8AqgvcdAxPsTrfyZQS5J71pTT1e3nXxlW8cLGdT+2pxTvt58bgBBdvjvCuTas4f3OYP3hPHQBfO3iDzpFJ0tPsvH1DMU67gx3VOVzq9FJfmcvpthH8SgC/InlbXSFHmwe51jPOY3vW4EpzcKRpkF3VeSjBIGfaRrDbbGEZAKpMAcLHnnyjlY1lWRyoK571TI41q4oZrf3WimzOd4xRX5nLuY5RtlXk4HHPVrFpXkFPHWvj0V0VXOwcN02urZdVel6iX+BGSsqtXxzq5Zcx+ba+D+1+9H2a8VkjX9Mv8LR787idUa8xwtg22r2Z0W+173hg7F9/n6lGqmXHcpNNybqfROWEEOIHwA7gFdSl8APASeAmgJTyv8bZXw5wHqiRug2JEKIBeJuUslsIUQb8QkpZJ4T4l9Dnf9O30/6klL8WOj6rXSTMRU4sZkR7TyKd046bre315xNZ+0a7JhVr6VTN+0Tvfa7KslTysWT2ncz9XTLoWir8X1u7JIpU3Wc0OWFptOVkWZ6YUeakPILZyiM3cHMoQP+4nyJPFlurcnnlygAV+Vk47JKKAje1xR621+TzxD0b+MmbvRxq7KPI4+YvXmygsW+cbZVFHFhfyPqSLNxOG4/vrwbgYuc4X3j3epwOwaHrA6HyxTJssTzXMcqu6jzsNhHOfwSzrQTGpJ5wy7JstORqVgu9kIgGLcTBuBiOZUVNhuugFQ23VS24nqa5ePikSusezXtrsWAx07aCecM3Ua3BCnAf8DTwzIJSlCD6x6YByAvFqA3rwti8hrZ21ATaWl68wVD+bW8AtpRlMDkzzbaqHOwOOzYh2FiaywObSnjhzTbGJ2boG5/kW0dbaRuc5PMPrGdwYholGORfD7Xy1Btt9Ht9PLilhD98qI7rvRNc7R7lbNsYgaCqJKmvzOX+jSU8uKUUj9vJ/RtLeOLeGhw2G4euD/BmxzBvNPXz1JE2AkHJ7pp8lIAaFg2q4kiTHQCP31Md9nLV/2keSrtr8tldk8/5jjF21+SHq7s9fbw9bLXWvGKPNQ/isNvYWJqNx+UMh8SZWa41Q8fxlqFZBSH0fNaMz+iPa/mdtJBvfRtjcm690UQvAyJ5Lum9h7TPeiOMVU8i4z1Euzcj/bH4bKKyyMyjab54+nxYgZcLFtqbIYRkhypXA/2ouZTOCSGeFEJkAiVSyu5Qmx6gJPS5HOjQXX8zdCzS8bckYvETDXrPQ2P4ciSlhxVPI7Mx9deY8ed45moi+4x4YeU+rMBMjiwmL6Zk8shIysF4aU/WPad6f5YM6PfeiV6/EHLB0lsjhFgXik++IoRo0f5STVyyoQSC9I74ubPEHrtxDGjmdacDKrLVTUOGU+FyxzhVBek0D3l5/VofbYOTdI/7sNsFQ75p3r+tlJ9d6uOF8+2U5Lj4tQPVfOaeSp4+0k5Dr5e7KrJxOR1h99PCrAz21RbidNjYVZ3HvtqCcMJOLYn2gbpiDtQVheOgI4WM6RVKgaCcdVz7H8utUf/d+NJbYayR2iSLmZoJw1gwbi7iVSLFO95ix3K4hxUsCNxSyldRPVvbpJRfAt6zwDQlhONN6r5lOIKDrj730QxqEQWA0kxVoVTogqw0cGTYsaWlgV3isNupKMjkSu8IL55rp2dkim3VeZxrH2VbVQ5TMzN87jtnyXOn89/etZ7LN0cRNvij92wgMy0dl8OBCEoe27uGe9cXcqCuOOzdoy9w4PMreKf9PHW0DX9AYXN5LntqCtiyOpd716tywuV08Ol9Vbfut2WIVy738rVDqliPtOjSeL4GrZ3H7eRjO1eHK6t948gNlEAwHEJxoK4obLjQcicZ+9eUFvvXFbKvtmCW67UVg4ZeyfXY7jVh5Y6xf73Cxjvl50s/uoLX5ze1thuv1zZVxn7MPpvBKD+tJK41PutYSFQWxeo/1XLhrSJ35nKf+rXKQiEFBmUHcDfwz1LKbcAEt8LVtDEls223c4IQ4gkhxGkhxOn+/v5kdTuvSMZ8MSrOzYzJxnYaYnlLRlK+ALcp+eP1njCOYcYrzULs4oGV+0gEiSqglkp+NrPfIhHak3nPsWTiQsueud7rQr0fVkdbNpbl6ZkZpgMidsNY/QAeG3gVGJmGbBu8444K/voj28jJTCfPbccWDLK/ppQHN5fy0B2rqMhz82bbGO/cXMwjO6u4O5RH4njLEOc6hlmd7+S5k534/EqY+WmMdXO5h3MdquvUjqq827yF9Ii22Nba2m3mzyCSMglu99Qxe2mtvMBz1VBHU0LFitGO1udcJuFcJ/BCMzANy0kRtoJ5x7QQwgY0CiE+J4T4JdSIryWHD9arXqCRJIVxJ6M5KPVMqJ5InRMwMQMN7eP84UObqC7IISfDTmmem9Mtg2RluKktyyLX5STbbed6txd3moNP1lfx8tUuzrWOcufqXD6xr5Jct4sr3aO8dq2PG0MTHGkcCue2O9o8SInHxem2EbxTfrxTfv7nC5f48xev8d6tJTjtDnZW53K+Y4x9tbdXMHvycCtKIMjumnycDhsbSrNmKY80LyB9YmpNSaOvuuXzKzxzoiPshv3Y7jU47LZZefKOtwyxtSIbkLNy85nl0dMrqWJ59hiVMgcb+jjdNhLu3zvln9Vez6NdTgdvW1/E+Y6x2/o0JqCMZiU0s+ib0Wm8h1i576IZcCIhmiyKZbWP1G4uVmQr5xeL3JkPJVky7nMhn1UKDMo3gZtSyhOh799DVSj1hkLXCP3vC53vBCp0168OHYt0/DZIKb8mpayXUtYXFRXNgfSFQTK9M8wKJZgZoo3RBrH6jLYP0QwYmsEh3kTDsYzdc/XoMI5hBVZ5q9Z3IvQsdkR6L+eiGEkGYslEK2uLZCGSTJ/rvS7E+2F1xGVhWfbNKFztGefOiuw59yWBmSBk2CAYhJI8O//yiyZ+5zun+fX7apmaCuJy2TnS0seb7SOc6xzh64ca+fbxG0zPSDwuB0gbTx9rx2l38H8euYuSrEwe2VnO6baRUFLQXg429PPTiz381UvX2ViWyfGWIY40DXKkaSDMpLVKNMbFmHFhrk+KZ6UijZE5m3nqJOOlNU7uSFYF4zVm9EayoMRDS6KIdm0s4bIYFs8QX9K3FazAgM8DGcB/BbajVuZZkpVwrtxUFQqaoiiSIklfj6Eo/VbbnAwoyxEMz8BvP3eON6500j7o43RjH1/64GZW5bq4OTjFiG+Gk63D+Kb95DnTOXSjn2m/n4udo3SN+vjXQ62MTPkozXLR1OMlNzONK91jbK3I5mjzEGfahvje2Taqilw8ebgVn6LwR+/ZwB+9dwM/ONvNhfZhjjUP4VeCs/jqwQbV6r6xVJWFmpfQveuLZs39QFCG82FoybWNXkFasuWNpdl4p/0oATVpNxDOmaQEgviVYEiRdSux47aKHFM+bdwc6I/poZd1mocTqOHcWkJwfWid8VoAjyuN3TX5YVmq3ZtZaexYHrpm4XMazDY9kWDmaRKPnIgk2yNVZDEah6JVSLLK+61YfZNZPGOumA85nIz7XATPKqkGZSllD9AhhKgLHXo7cAX4IbfkxydQw+QIHX8sVI1tNzAaCnV7GXinECIvlDz7naFjyw6JvgNmm1fVK7Qv6qZfv562Mq81w0G01BCah6ixUpxVBXwkZVekY4kgGV6fiRTA0fpMFIlU40wGFgFviohINFlxSEgWjH1aGWMx77Ws/srLwrLscTm5f10p3z83lHAf2aHoN5eA0mwb40GYnAFF2llb4mFsGv70hQu4XDYGJwL0jHh54/oAF9qHeGTHWu5ak0PbwCSbyj1sq8zisT1r2Ls2n1y3i901+VztnmB3TT67qvNxOuxsr8zB43Lwx+/ZQGFWBrtr8tlXWwCI8IL3eMsQfiUQplGzAOgX5saFrVVNrJklIhVKBr3wsFp1LBK9ZnQvJKIt3GFx0QrWQhkWi8JrBYsHUspTUkqvlPKmlPJTUsoPSSmPLzRdiaC6OHPW90ixEzO6z9qSTQLj09AxKpFATprgkT1rWVPgJt3l4C9fvMR/nulibMJPQ/coxVkOmvr9nGrv5x2bSijL9dA/4eO/7FnDy5e6+cL33+QbR1oYm5nh+PVezrUPowSDBIKSupJsCj3pnL0xQlPPOF984QrfOtqOw2ajriSbDeVZAPiVAE++0Rouc3+1R1WQba/MCSt4NEWRtuD3+RUCQVUZtLEsk9NtI+FKaWZz/66KLP7bdy8wMukzfVZOhy1c8Q3Ugg4nWmdvHnx+hYMNfeFrzBQpeuhlHRCWj1p/HrdzVgXT8G+l42H71xXOCr3zTvnDGxutrVHhE4lna5b1aItV4/XR+KhZZZZkwswbysx7V1PyxKvEiibXzNYWC4n5ksPJMrotIFJhUP4t4DtCiAvAVuAvgL8CHhBCNALvCH0H+AnQAjQB/wr8BoCUcgj4U+BU6O/LoWPLEvEaLCOtl3fX5GO3ReZDWni01TBd7bxWuRmI6GlqZjyO1BYie2xaPWYViRiezSIezBRkVsaeyxo7mhFjPjDfvCkZ+5BI70+y5IGxoqHVfepi32tZfTLLxrKcl+Og0BW7nRFa1qSxkJ7GJ6FrLEg6kGaD5iE/fiXAu+8upqo4m9riXB7aXMpnDtTysd2VFGSlMzDlAymYDgT5r8+e4xNPnuCfDzbx/37RzP872AwQZrin20aor8y9lajU5dRZWNUQNI051Vfm4nTYoyp+9C6jkRDpZY7GnCN5C0VyKzW2iUSDJnyiTV4rgmyhYXXiLwZarWKxKbxWsDgghFgvhPhXIcTPhBCvaX8LTVcieOnNtrivGVHzblPjgqlb+nz6JiWX+oe42j7C4LhCRbGbdcVu9qwrIi/TSfeQlywXbF+bx9n2EfasL2R1bgZ/93IDj+2tZlNJHp/eX81vv30djx/YwFceuROXw8GlzhHcTjvv3LQKhx3++0PrqSnIpLbIw7HmYRBB7MKuhisLSTAo8c0onGgd4pN7KlECQZ453oFfCYQXndsqclACQV653MOTh1vxK5LN5R6eP93F1opsdtfkc7xliMONA+Hy9btr8jl1YxhPupOP7FhNboaL+lB49qkbw2FvoPrKXE60DoW9n9TE3TJsCFECQY40DXC5c+w2uXG4cYCDDf2m8ka/UTneMsSh6/2z2prJPKPiSWv32O414VDxPWsLTD2g9AodI52aoiWawUBPQzTjQiQ+a6XvSOPpPaqMxhr9fZjlPzFuJGNBr3TSHzPStJiw2OhZpEi6QVlKeT4UUnanlPKDUsphKeWglPLtUsp1Usp3aMogqeI3pZRrpZRbpJSndf18Q0pZG/r75txuc+nAOMfiKV2uFUbQDAn6fiIpI4zKZSMtRoOzxmsjKTX0/MVo/NbfU6qRqPLGyDM16Pczka4zfo/mcWsFVvZ684FInmfR2sdzXDsXLRfWXJEs5VE05w0zpaP+XDL2WqlSQFmiarlYlpVAkKtdY+S64/8xAibHgkBZHkwG1SyAV29OcP3mKAIBIoDdYWPbmjx+fLELBzY+ePcqBsan+ciu1ZTnZvDVx+r5rfvWc0d5LrXFmeHF1vGWoVlJruF2S6RmNd2ztgCP2zlLAERitmZWWCPieVFjeQuZWRY0+qIx6Xgskot5wadfmEcKGVyqWE73spiwWC0NFvHvwFngj4Hf0/0tOXxge3Xc12jhbB0+tTonqAI2xw3nGwYpys0kxxHg8LUhfNMzvHa1n5kZPwFpw+NKIxiA5t5xfnLuJu+5q5T2/jGOtwxRnpfJzcEpfnG9jxfe7OCZo+28crWbjsFJtlVmI2wBnjvRwfdOdrKhLIdAUHKxYwikWp1zZ3UeTruDtSWZHGpUQ6p9isLpthEe3V0RDlsLBtV379D1ARp6xliTl0lT3zhvdozxsZ2rudg5Dqi8rL4yNxwapq/Y405Lw+vz8/TxdpRAMLx4VgJBTrQOh+Watsmw22yzFlgH6op54kBN+BptYb61Ijucty+a7NCs6VZgZqTwuJ2zjumtx0YPHL380xRBZsqduczpZPNZfX+RjDVmVlL9ps6q8si4Nlgoa+oS56kRsYD3tWwMyssBxnkVbdNp1diq9emw28IelZFysuk9hiLtBTQZYVRSaWPr+YsZX47k4WMFkbyxzI4lqrxJ5JlH8gizUpUzFowFJOYbZvIwHkVQrOMajJ688SbKno9nFI9CL9I7MRekUu4KtbhBjEZCrEfdCFSi6koAkFLen3SKLKC+vl6ePn06dkMDRiZ8fPqbJ7hw00u8zn0OuO2aMhfk5mbg900yMQ1+CQ6HndIsJ8JuZ3ximkd2V/ONQ028Y8sqPA4HUsD2ynz8ShC7He6rK+H1hl6udo7z6Xuqwh5HcGvxqjEDbZLo/2vQJqw+sWksF9djzYNz1m6a0ROpb+0F1s5B5FC6pa6g0J6B9vvN15jJem7L4TdYakjWnBRCnJFS1ieRtHjG3T7f40ZConIC4Kk3mvnSj68lPLYNyHXAsAKbVznoGlDIz3Iw4pO4CdA1AZW5DkrzXFzt9lKSm45vWvLwtkqcTjs5WQ7+4ZUGsl12KgqyKc5JJ8Pu4J13lvDKpX5AogSDbK8sYGpmhnWlHvIz0nDYbPzJC1dQZIA/eGgj17snsNtseH0K13pHaR+cYHVeJu40O7XFHpwOO06Hja0V2ZxpG2VfbQHHW4bYXO7hUqeX+srccHVPLcRNez815ZH23m4pz+JM2yh2m2BrRTa5mbdcfZWAmtx6V7Waa0jrB1QZ4J3yc65jdFbfdvlLoAAA3cVJREFUx1uG2L+uMGxU0eSiUR4CHGzow25TDSsa4p1DRhkWSY7qN2r6Z6IfV399rDkdD6/Vj50qRKInXpkQaW0wn3IlWTx1sSEZ97VQcmKxYS5yYrFgLvMq2p4i2ncN+hx55zpGZ615jXNfv0exSod2LpH33ey6aH0tBH9KxXjzwfes7DGBOctBbZ1hhY5osiue9yCe8RNBtLmVChk/l/csmpyw2mPClmUhxINCiAYhRJMQ4gtR2v2yEEIKIVIm0FxpDrasySUzdtPboHArjE17aE6ngzHvJFMKFOS4+Nw76vjEjio+vnctj+6qoqY0i5cv9XDgjmLcDgcdo1PUlWSzd20B9dU5vHKlD9+Mgl3YkQKONQ+HcxkZNatmi1KjRtFY9jgaEnWNM7MeGMeL1LemVY+mYV8uVkq9dXc+kMzntlC/wVsdyXJXnW8IIfKFEPnAj4QQvyGEKNOOhY4vOeR7nHO6PggMKeAEGrsUfAHoHFbYUJpB+4SaaLt5RKF9aJqMdAcbS/MQUvJvZ2/wD683cKZ1mLdtLKEo28Pn37mO3tFpGgbG+L3vnqOq0M3H91ZQV5rFnRUevnnkBo9/4ySfe+YsL13uQQkGGRyd4m9famTKH2R7ZQ7N/ePcUZbLe+8s51fvreLxe6pxO+0EgpKtFdk8e/Im2ytzcNjVkLRLnV41dNrtDCt49J5GWrgBqO/ttoqccB+7a/K52Dk+i3+onwWn20ZMrcl6zx9NYRQI3m6N1DyVNBo067fdZgsnwtbLFis8zOhNpLeiR5qL2nm9tVw/rv46s3xCelilVW8ht9o+Xpjx/kQXtJHWBvMF7fdbijw1FhbyvpZTqPJSRjK8FKJ5fhihV9jrocmFcx2jbKvICdNi9EZy2KMX74m0t5nLPDa7Llpf8z2fUjleqpVH0d4b7TfTy4BE95v6vIyx6IjUf7T3wEi7HqnIJ2WkWf9d72SRzP1Xqt4Dq70qUsp/llKelFKe0f5iXSSEsANfBd4NbAI+KoTYZNIuC9Ut9oTxXLIxMwPeBK/NCD2tIFCSCW1jCp1e6PZC55CPVy91838PNnOmbZh71hewJjcTKQMMewOsL/Fw7/pCGvu8vNE4wLeP3mR/bQEOm437Nxbzmf1VYRf9Q9cHwlURtNwP3il/2B1QW4BrMOYwAPPYWiMiCYRIiEexEO2FjXVuvhdGqVKYzOc9JPO5LddF91LAEn3mZ4DTqGEMvwccDR3Tji85HLx2M+Fri9LVhCAuYBoodENmmhrq/EbzOHbAYYMsG/zegxsZn1IYn57hz39lK9sr8inLSeN6zwhrcrK41j3K0euDBINBSrNdIAVev8I3D7fxrweb8foDpAvJ3z2yjQ/Xr+HH5zp5YFMx/99/2c6Dm8toHRhHCaoyY/faXO5ZV8izJ26GvJdyaR7w4kpz8HD9Ks60jYYrqulDqL1Tfr784lVGJnwcbxliZMLHk4dbee1qX3jR43E7eWz3Gi52jt/GP5SAmttoX21B2EPIWKXHiPrKXA7UFYfbasosfelnvdVby7OkjQfMUjBpMG5M9EoZLcTieMtQ1HAJ4/1Fs6gebhyYFbYRSdZYKRqhHzdWhaNEZZrZbxdPP4vF6KCne4ny1JhYwPtaNqHKSxF6vhXv+t1MeW2srKzxLWM4brQxNSWSvtCCPvw32gZfG0+vKDIbM9H3fTEoipIFqwaRhagmqTfCRMrBFS/NZu9nLDqi0WyGaDRHCj+by7M1Wz/o7xFSq/xLJqJSmATL8k6gSUrZIqX0A88BHzBp96fA/wbMy7ckCUogSO/4JIn89HYgELzlhTTpg2wHFKZDbbETRQF7moN33ZlPc7+XNxqG6Rmf5l2bV+EQgsbecQ429NMxOMHGcg9tA+Nc6x7jycOteH1+zneMYbfBzuo8QBIIqvRqiUZPtA6Hk52qC/JBU0at3aeVUoGxGE20yZrKDP8LYQVYKhM2GpJJ/1J/FiuYP0gpq6WUNaH/xr+ahaYvEbz/7vhzIGnon1aNFK7QmuPmFPT7IMsOWajh0L4g2Ozwdz+9wubVHpxOG7/51Cn+82IvN/v8ZLldZLrsbCzP4nBTHxLIdjl5ZEcVzx2/QVmei3vrinDYBNkeJ3/yg4v4lSAFWW7SbGlc6fSyf10+1UWZvNkxzsM7VvH86S6UYJDpmSBPHW3jZOsIH95ehhII8typTgLBYDhMDOBI00BYOfSHD9XhcTkJBCXnO8b48PYy7Datalp/uJ0+LE0vfy53juGbmV2JRO+9o198vna1L2z1UwLBWSERxtLPWh965ZFeLm6ryJmVG1BfRU5Tlmk0a8lktfyCkaDfzBgr0hm9AvavK7zNM9iooNHfTzTorfT69nNZWEcyLMXbj9bXYvFcXS4yfZEiIYPyCuYOvcI7VjiQ8buxEIEGrQ+9J6WRb2ntIqWlAJV/7l9XGFbm6/PfxcsXrCTtXwx8Jh7MlV6zfZ0ZNAcDs6TeyaTL+JuYyfV4+ormFTYXrzErRploNEer4JoozJ6d/h6XityKReVcLcvlQIfu+83QsTCEEHcDFVLKH1ukOWE47DaqCj2UpMVua0QAmASyHGr4wXgAxhQYnIaKQjcFHjur8110D82weVUuM3IGJRjke6c72F5RwLbKPB7YVMz9m4q53j1Jca4Lu81GdWEGZ9pG2VzuYVd1Puc7xtTxgkGePNQKwIG6YnZV5wGCp461hVz2RZhRG/PsRNJw6hetZsf1iKYRXugykanAUpmwK1jBYoMQYocQolT3/TEhxAtCiL9fqiFs7QOTcbUXus8aJx5Xbn2XqDJjHPADHgHeGegZVegdmebHb/YjQiyoKA9mAjM09I2xf20xbQOTbC8v4CM7V1OYnU5GehonmgapLMrkr3/SQEGGm1X5GbQPTXBPbTFBoXCla4yDDYO8drWPCf8017on+djO1XhcTtYWZ/DJvZWMTvr5m5828kbjII/uquD+jSWA6vGzqzovXNrZ51fCculAXRH1lbl870w3Xl+Ao82DXLw5wsikb5Zixjvln7UJWFfi4eljbRxs6J8V/hZ+ZjpZZLfBumIPR5sH+drBFg5d779NMaMZTCJV5tEvDDUogSB+JXBbIle9p5JW5VSPSFZ475Sfrx1sCXsLm1kxoy14zTaDkQw9Rku8dm9zXVhbWQhblY1zUdokY3NlRs98YaltZhPBcgxVXmrQ8z7jel6D2bx22G1hY7QG75Q/3F5Tpmu8JtIm1szjxDi+Mdm+ni9EmqdGJXukpP2xjOL6donMyVTN42QpHawmjLaqxNF7fyUDsbxyrVwb7Xy8dFpRusVLcyqNE0ttHxqV2lRblkOlQL8C/K6Ftk8IIU4LIU739/cnPObI1BQ9MwlfTm4GFLsh16n+rc13cqphFGmzsbE0h2KPm8pCF/95+ibby/PISBP87FoXG1dlcblzjBsDk6wvy2DA62d9aSZ2Ycfrm+Evf9LAG42DbK3I5v6NJexZm4/NfosRnusY5d71hTy+vxqP2xm2kmrWyFjugpG8kyK9sNEmSbxZ5RNBogIg2XSsYAUriIl/QdWLIIS4F/gr4GlgFPjaAtKVMOLNgaQvRaGp1bXKnXZuKZgygOJsG04nVOXYcaaBd2qGTAFpdih0wvAkHGkZ45VLXVztGWPK5+Mff9HAbz97loFxH/VVBZTmumju9dI1OsGJ1j6utw1x6sYIP2/o4rWr/Xx4xyrcThsH1pfgcjjZXO7hYuc4N4bG+fobLfR6ffzwQhdPvK0auw1Otg7P8mzxuJ1srcjmeMsQh64PhEPafH4Fj9vJIzvKaRvycndlDrXFWfzZj6/x1V808vq1fvxKkNNtI2yryOFIkyprHrijlE/vqw4n6TYqmzSlksNu40BdMQ/cUcr9G0v42O7VOB32W89W57ED3LYx0W9G9NZ0gOMtQ2HDi3ZcCQR5+ng72ypyTGWE2UJd81g63TbChrIs9tXe6t8s31G0hb4xf1KksAB9W+0+Y8nwWEh0IRzLohsvonlIJ3r9fMr7RDeHqVCapRjLLlR5qcG43o+kLDLjI6pyXj2mhSVrSiStTaRKkmZ0mI3jsNtm5UHSH482T4ztzRQgZkr0SMZvq/ehtddfl4p5ZUZvIgb4SE4B0drGi8W6V7LqgaVHPEq3eO57qSl6UoVYIWxztSx3AhW676tDxzRkAZuBXwghbgC7gR+aJdKWUn5NSlkvpawvKiqyMPTt8E77udA+wVzSGt8YA18AVuW72bQql5EJPx431BR7cKbZWJ3v5o2mAfonfLx8qZOinEzee9cqzraO8fKlHkrz0vmPk13cu76ANFsaDb3jBIKSP3ioDrsNnjqsehhd7BznsT2VnGgdDi9MjV5G2n+j67sVlz0rE8DYxuiuGgtzWVjFIwCs9rdYGeMKVrDEYZdSaq4bHwG+JqX8vpTyfwK1C0hXwnj2+OWk9ZVuv6Vg+sDdRUh/kMpcJ34E+W6Vl9ZvyMI7DdKmGibsQN+YwqWOITLSbUigf3SKf32jmeJsJ/1jfmRQcmd5ASUeB5PYqM5347Tb2VdTTEP3JP5AgOt9I0z5AzxzrIN1JW7+6bUWfmVHBd3Dfv70lzbxyuV+pmYUrnSqHkaaZ8vIhI9nT96ktsQNwK7qPHx+JZwL6VKnl8qCDN7sGOdtdYV86X2b+LV71uJ22rl3fWFYSXOxc4RD19WwsdNtIwCzvICmZmZ48o1WvnaoJbyg1jYIPr/C86e7qK/MnbUABGZZ4WMZRbR2u2vy2VerKpc0i7tmDHHYbTx9vD08lv5a4wJUO75/XSH3bywxlctm12v3pv3XaDC2j3R9pM1UMl3pYyEZlnQzGszC+qzKbLPr5zOULhFF3FxpnO97hOUZqrzUoL1rxu/R3j09r9GU6+Gw5FCRBC2awSx0LVJ/Zt5BPr/CU0fbbgvtNdJqdV5Hut7svL6dlfvQaDbmyUsVjMqjuUZxJEOJYfT+svI8rCpwks2b4lEGGa8zXm9GazLk6VsNsd7AuVqWTwHrhBDVQggn8AjwQ+2klHJUSlkopaySUlYBx4H3SylTYs3IzXDx8d2VZCYQwgbgDv2XCtSVZeNwQlqaQEo7O1YVcvBqP0WZ6YxPzrBnbTH5OW7K89ycbh1m77pcvv3ELh66o4yAkLQP+PAHFFbnOXnu1A0A7q7MAdutF93jcs4KVdOYjt71VAmoFWs0hm6cCFa0/VaQyIIlUQtnPAIg1VhhJitYQUzYhRDaLvrtwGu6c/NThjDJ+L2HklcMdCxw6/O/ne0nAJzt9dMzqtAxBh6n5GTDOLWlmYz6IC3dgUuATcDNAR9DU5LNFVnkZqVTmOngXNsI26pyaR+eYjoww/U+H/vq8rnaM8b21fl0jU5SV5YBwIX2EYamfASkxOVw8La6At7sGGVDWQYdg9M8sqMcd1oa1cVqe4ddrbj2zIkOHrqzmK/8rIlzHUMcbR7CYbfxxfduxONyUl+ZS9vgFKOTM5xoHeZ8x1h4IwKEFUS1RVmoOfyGmPIHUALBcMU0AHdaGo/fU80T99bcJuNOt42oYXdu5yyrM3Cb1220jYm2sdESZJu10RRJHndkz7NIFneNtkjyaq6KjUh9RksumgqYWf6TtfFK5jNKZYiBlfGttp8LjQtxj8sxVHmpIprC3Iqnj2ak1nt06r1AY80/fZEF/ZgAG8uywjQaFUnxbv4j0a+NGa2dVSO5Fi4HzNueI54ojlTDyDuj5U/SK5hiefOksjDRXPaWkY7PtzyNhKW054z19OdkWZZSKsDngJeBq8DzUsrLQogvCyHePxfCE4HDbuPeDYU4EpyzQsCmkjTsaXCquZ+gEiQgBR/aXsEPLnXQ2j/G82c6eNemMnLdaThtdhwOwZ61BTx3opMfnO3mcOMQm1fl8KH6VbzROMDV7jFGJxUONQzxzPGO0IL71ouury4D8NjuNZzrGMU75Q/nXtArW/QTQU2a15e0FzJZE9aq1jhZjNxscW/VtXWhmckKVrAE8G/AQSHEC8AU8AaAEKIW1diw5HDl5tic+7Bxy+iQo0uSNBgqFSEBjx2u9QfwpMHVzgk1/C0IrgwbnjQI2sA7JQkGg0gp2LQmj5xMBz+92E1zzzCDEzPcsTqLVVkedqwt4FTHEFP+IP/7Jw3UV+Xyxx+4gycPNlOa5eJY8zD3rivmbeuLudY9ybaKHC51evErQV671s+h6wNhxU1Fnovm3il+5521bKvIJxCUHGlSrdiHGwdwOR08vGMVR1sGuKsii901+Ry6PsCh6/0caRrErwQ42jxEy8A4O6vz2FWdT2PfOEeb1eWEZvjQqqvpk2Q/tnsNLqcjnLBbX4FU48VmXkFmlcl8foXDjQMcaRqclSBbkwd6hZXZYj6Sd5M+b1IkGWF2TC9Do21W4pGRqVAkGMc3ho9Aakoca/ej/40SoXehDU9WkOi9xXt9ErHsQpWXImLNeTNPHaOXiT7cVlMaaMp1KxUhtYrRemjz9kBdMS6nI1zAwOhJGMkrMx5YodEq9OFy8zmnFoPyyAzR8ifp+bNeBs/V2ywRmClO59qf2dzS95vqveBS23PGVCDN1bIspfyJlHK9lHKtlPLPQ8e+KKX8oUnbt6XK+wjUH+ds6yie9PSErp+U0Nw7w8g0DE8E8QcDpIsg3zt7k+IcJ+kOGxWFbnrHfHxkVwV/+L4NDIz5aRuc5MM7VvHh+lW0DHgJBCUvvtnL775rHfmZLr762N28845iaouysNtlOEeEuvBV3f+1xZrG7E+0DnGxYzS8qDdqkTVrsBbzbHwO8T63ZL3UCzVBIrn/x7pmpZLLClYQHSG+/rvAU8B+KaVmnrQBv7VQdM0Fo15/7EYxEISwhB2Vt59XUL2TFGBoGqaBnDTwZKczMxVEOmzUlWewZVUGJ9smaOmZ5NiVbk60DPK5+9dx74Zy9tUW4kl3sr44i6HxGSRBPrK7nJmA5FtHOrjW6WXz6jzc6TZ+ermLgw0DtA1NhEO19q8r5B2binnPllXcXZnNidZhtlZk09wzwYR/mh+c7eHuymzsNrUKqepJpFqVr3VP8oV3r+dq9wRKIMiVLlVXuKs6j/s3lnDv+kI+va+ai53juJwOnri3hnvXF7KvtoDTbSMEgtJ0EXiuYxQlEORAXRG7a/JDbdWNzZNvtN5mFNEMJtqmSAux0Cqx1VfmAnLWYlcbV1NYaWMaoclbo/wwVoEzypRI342fb3snAvGX6J7LRky/+I9EuzaGURamyooeK0TFiMW+6J4LXYvs3pZdqPJSRay5YRb+Fa1NJOVSJJ5oFvakh8bHNaW9UckwF49Ds8rTc0Wy+jFTvMfTPtFxko1oyhk9f9ZkrVm4cSRvs2Tfs1FmJkORpO9b70mXal681PacsahcVpZlJRDkeu8YbhFfFm277rPTAQXpMBmAq+0TVBRnU+JxUFucw6aKPN6+voxzN4f5/efe5HzbGL/1jlqEhL9+qZG/fbmRD20v48EtZTy+v5rS7Ewe21PJi+d6eKNxkIbeMezCHvY6Uhe+IlwZRrPMalr+z963lgN1xRFfNjMrXiKTIJZbYzxYDBMkHgvIUpnIK1jBQkJKeVxK+Z9SygkhRLEQYg3gA25P9LIE8MrlpqT0M2WRXZaFXJUUBd68MYEERieDXGqb5Eq3WhEuMw2yszNw2+18/tkzvH71Jk+/0cTEtJ8da3N51+YSqvKzuHxzDLtN4A8qNPaN865NZeysyePBzaU4HXY+va8ah92met74/DjsNvauzefpw+2cbVc3AtIGLoeTR3dX8GbHOHab4N71hdxVkU3zwATeaT9+JYgn3RleyG9alc3etapySFvkGxUw2rH961RFkhnv1VvDNRl2oK4Yj9vJ4/dUs6+2MBxyod+4aGEVx1uGCASD4bFdTgd2my2sgHrtau+scT1u56y8Iho0a7xR7umtsBq0DY2xjZnLfST5o9+I6Z9ZPN6yZt5A0Rbe2uJfb9GPJKPNZGE05dF8KT0Ww5oiEua66Vhk97bsQpWXKqLNaSvtjPsCo1JIv/k34ylG5ZLGr/Q8WeO9SiDIk4dbOdjQb6pIiuf9Nirvo92j2bVWkagy3pg+JFoet0R5w3wrlaONp703Zt6iZrJEq86a6D0b30W9zJxLCJrRiKJBv/fVxkg1L14kvN4SolK6HC3LDmFjY3V8SbhrS1R3TQfgVcCVbiMrDepKXTgcdnKzXEwpCi+d78JuE/zRezdxV2Ueo5MKX/15M2sKPHz5A5v44/ds4AfnesKL9mPNgzhsNmw2wZ61eWytyOPe9YXhXBDnOkbZV1tAfWUux1uGON02El7UOuy2cBlfM2gTwag8SnRBYrUsZCSYabAXEnOxgJhhkVgIV7CCBYMQ4n1CiEagFTgY+v/SwlKVGL7wgZ3zNlamDW5OQbFd9XINAONB1TNpGsjPspMpYFpCQWYaf/LBzRy4o4ia0hxcTgdXusb4ixev4Z8JiWdp452bSnEIG0owyOXuYf778xeoKc6kecDLiG8aJRDkYztX89TRNl653IMSDDJDELtUr9lUlqPKojQHINlVraY4ee5UJx/cVsozxzp48+Ywr1/r59B1NfxN83bVqrBtLMvkeMsQR5oGGZnwcerGMFvK1RBtJRDk9Wv9PHm4dVZOP20xqIXM6T2GNIWSJouMMsluEzrl1K3KaKBumDxuJ5/cW4nTYTfdFOkX+0ogyMGGfo40DZhauo2bL42OWMm8jef08kfrB27leLIaqhHJyGN18W8MSZhr6MF8b3JirYMWClbWW1Z+20WCZWVQXqow87Yw81w04x2RvB+1Oa9XJEXjKfoN/cGGPo40DYbzzGmKdO06l9PB4/urOVCn7rvMvBv1fRvp0kOvvDe7ZyvPLBbi6dOMNrCmxIjGG2IZtZO1F7OKaOFo2rui798o10B9H7WKp/Ei0rtoNMzov1v1etK/y2a/20KFOC4FxHway8my7LDbWFuawZX2odiNdWjrldiAqjw7FXlOvvLRejZXeGgc8NHcPcK51hF6R6d4792rUESQzz1zlqtdQ/zwzQ62rMnhRxduogSDuBwO1hZm8syJDpRAMFwu+Yl7a8jNdHGgrijMGE/dGA6XwzzdNsLumnx21+SjBILhvAPxaLbNJrTxGivPLxHM92IyHiTKxK0u0lewgrcQ/gy1kuZ1KWU18A7UwghLDn5lfuZyOjARGqovcKtaG0CuDZzAzbEApTl2nHZo7BrjN751khfP9jMxOYHNLhiblEwpfi71DtE6MM6V7lF2rc0FBHYhSLPZ2FiexT+/3sIDdxTx+DdP8wf/cQGfohBUJFe6xzjcOEiazcbH9q7mmWMdXO0exTejcKRpkCl/QPUqmlFYW5hJQ/ckdaXZbF6Vg8Y27TbBruo8TrQOY7fB1opsnj/dxdaKbPxKgKePtbOxTJV9r13t49D1ARr7xnhkRznnOkbDRhFtc7C9MifsNaTlKNJvmoyWcofdFq78BtyWLFs77nE72VqRzVPHzCsFgT6sSwLCdINjtnmItbA3kxNmnkpGRZLVUA1toWukK1a+lEheB4vdcyaZm8ZUIpbyaDHQaAXL0aC8FGFUVBi9frR5HIl3mOV4iaT41ofoam21im63+rmVD0nzAjV6nmrGbuNxPYx0RJobej6l0WH1mVnhR9FojESr/lq9HNPLpEhjGWGF9yZ7LxZrLxntWn1b4+9ifJe0kOdECyVY8YzVvx9WlIz63yta7qcV3A5LT2U5WZbTbA6kMElIEQU+1HwW49MBslx2fnC+nekZG599Wy352W42lWcyMTnD5lW59Az6+NS+KvwBG++/q4KxCYUP15dzvGWIbxy+wZaKLB7fr4YQaNpU/QJOw46qvNvyMmjWVK3scLTknWbVYqyUMEwGImnmF+skjPeZmAncxXx/84GlsABeQcoxI6UcBGxCCJuU8nXAUjkzIcSDQogGIUSTEOILJud/RwhxRQhxQQjxqhCiMtnE6/Hymx2p7D6M6SjnvEEocoFLQFl+Bvs3FKHYbOyqKaQs20b7cIC6Mg+lWTYCSoCLN0bw+yXX+0d59fIgncOTVBVksXl1DttXF3Lf+mLKszO4Z10xn3tHLY29Uzy2fw2/dm8Nbqed9SXZeJxOaouz2Lgqi8ONg0zNzNAyMMHmcg9PH2vDbrOxr7aA+zYUcd+GYu5dX8T9G0vYVa2Figk1L5PLyWO71+Cw2XA67GwozSI3w8Un91Syd20+928s5ol715Kb4QpbFjUlks+v8OzJm2ytyMbjdobl3baKnFkKDriVJFuzfmtKIS2/kjFXhxIIcr5jjLWFmfhmlFnlqPevU72WDjcOcLxliH21apidtiC1olyJZoiwugDWjukXtvHAuAmLJZfMFFpz9TjW+koWzDY8VtYsi10uL7W1w3IyKC9lGPmDXuGsV8abKYrM+oql+NYnyw8Eb/Ezh93GgbqisHdRIHgrh6tGi7GvSKkwzJTpsZI5a+f0MiGaosAKotEYaXyz81b6iTR2MvM7af1qdMVSIEZqH+mezRRHkaApEuNNoh7p3Y2lFDKjO9J96v+vwBqsPq1lYVl22G1srcxmyKuwqcxl6Zp01Eo6WwphZAr6h6Z49Uo/09NT2Ow2eoemuNo5Qe2qHJQZwZQSwOm0c3dFHu/aUsTj91TzwMYymvomyMty8Affu4RvRmV0+mpp2ousLYg1LbgSCIYXwRpzNlop9dAstvEwLSsCxCqiaeZThVQoL+IRXtqxtyqWkhV1BSnFiBDCgxra8B0hxP8FJmJdJISwA18F3g1sAj4qhNhkaHYOqJdS3gl8D/jrpFJuwN3Vxans3hIUoNMHPgm93mmOXOtnTYGbgw0DeJxO9tQW4PUFycp0caHdi9vhoLl/iHMtQ/z76VY8bjtHmnrxz0i8PoXmfjV8rXN0iv/1whXK8px883A7DruNXdX5NPWP8+rVPloGvGxZnc0rV3oIBFSDhSfdybribO5dfys07EjTYHiz8PTxdnx+JSyrDjcOcLR5kK8dbA4n1QY42jzEU8fawooNbVG4rSJnlkHlYztXc7FzPLwp+NqhFp58o5UjTQPh6j7eKX843xHAlD8QqgKn7mXNvESBcHGJp4+1hz3NtHE1RZJ2H9r9Ga2qZklmrRob4kEi7fW0xeLLkbyiEhk7VbDiuRXpmuWOhZC5y8mgvNShn6va3Nf4aDyGzmibec1zRGtjt9lum4tKQE2+bbcR9rrR+LSxbTTliBXlutk1eiNEpLxNVmFVqWvlvJV+IinwrSAe5UskGaTfS0Z6b7Rz+mu14k5miqNIibX1Y2p9Rmunh1EJZMWzyGw8q55JK4gNqyuEhC3Liw0+JcjgFExM/P/svXd4I+d57v2bwRAESJAEey9gXW7R7mq5lVtULbnJjmMriqzIOrKi5DvOSc+J0+zESU5i56QdJ7GtyIqsyIqiOC5yk9VWW7h9tX257AR7AUGQBAgQGMx8fwxndogFy3buLu7r4kVgMPPOOwPM8zzv/bTQgvvpfdpm0JK9z3lAVbXi2eWOJCbD8B8HOmmsyqMsL4Wh8Wn+ramNt8/08C/vtDElh/nXvd0c6BjDHw7jynZwvNvHX31yNQ6bNW7FeF0IRxUVOaqwt3WUP/3hecOj0FidbRi2+nGxD4A5TDCeAX257PzlPmQ32qN2PYXAQtdwra/vVhZit5oXNYHrho8B08BvAm8AHcBHl3DcJqBdVdVOVVXDwKuzYxlQVXW3qqrTs28PASXXatLxkOWwXs/hFz530qXb3CNhpsPQMewnHIXe8RBHO8Zwplq5qyydysJUpmbCpCRbCUXAbk2ibXCSnIxkzg/4eKGpHW9ghtcO9/HAigK+8qk1/OfhXt49P4gvGMJmlajOS8XtnebRjUUc7/ZR5EyhayyAPxyeTTmbwj+jkTYN5U521eUa+ujJLWUcc/sATZY1lDvZ5MqkxxsELi4yrJLIU1vLDQNZL5h9uGt8Tge1k72TrClOM4pXPt1Ywa/eU2W0iI4qipHavatOI/tahieJKrDZlUVjdfacFtL6IkOfixYBVcl99XmXRBSZ5VhYnlubCC5GKJmPmy8q6Uq8rVcDs9c7XiRyLK5Udt9IfXU5kVu3WlTw1dgvN3EBdFs4lG91xIvKM8sqcze1pY4XW0NJh+4UkKMKWyqz5kQX6TJHl8X6voe7xo2UNvM5dNl5Ode12FzNxEtsrZzFno/57uO1QKyTIfacV/oMXw4BslRZqJM+sDhZEwrLPL+/i6b2sTm/MX2f+Qprx17DUj7TbQLz+3jNJpaCpURUJbB0LPXOXZFneTkiLCuIwOjkwvuZUwtqMgUUIAyoUTg3HMIXiDAelGnzTiEh8oHVRWyryaGmOJt76vLxTkV43+1hyBfid147g29mhgfq83DakgmFZcNwPtTpNRh73fup10K6rz6f332oGofdaghpmPsAxXsAdPLoWqRZXclxN/KBvB2EwO3AhN/K9z+BawNVVQNAKXCPqqrfAp5HE5uLoRgw54z1zW6bD5/lOnu8XznUcj2HXxDemCahNlG7iVYJJkLa66xUC/1TUfY1D3FhIMAH6wvBIhKOKNxd4cCeLHJXuZOV+ZnUFaZTkpXC4MQ0xTl2usf8AHimwjyx1cW5/gChsIw9KYlHNxZxoN3La8f6+ExjKU9sKeVv3mgjGInw+OYSXjncRzAc5XDXRV30/L4uY66+6RBf39NhbCtx2pEsopHSsKUyC4fdatQ0As1jrUcR6fqwodzJmf4pw4t9zO0zdKQeMaUXf9a3rSzMwCIKxr5mI1ZPcdvTMmIYo3qzCr2wZ6yXMhSWaR2ZuqSFb2zhaVharaLLkfPz7bPUxYIcVZYciXy55NbN0FdL0S9XG+11M3A19stNtH1uG4fyrYSFHMJ65sJiXb9iGwXEQv89+YPhOWlrclQxMiCAOSRNbNSMZBFnySQttS1WvpjT3GKvLfa64r3Xz2EulmzeJ7YhwGJ1e5ZyvqUiHhkVe/5YZ0MsWbPUqNHYYxfCUqKlzPoyNkJIP5cOc2F08/du7lim692FrkHXp2aibbGoJDNJeiWdweNFJl1r3MprucvBUu/elXqWlxX8wTBf/ul5omgXEw9xnL9MzahaKpugdcmpL3IQjcCMDBnJFvIzbNitImOBMOXZKaTbrfzOw3WsL81iNBDm8x+q45t7Ohken+Fre9r5kx9oaWzba3LYUpk151yxIYJ/92YH/mB4Tuhn7Gt9X/OPNp5xEc9QXIqgXO6G2HKf32K4WYbgnSLkErgxEAThl9HSy74xu6kY+P41PscTaIuVv5nn82cFQTgmCMKx0dHRKz7PJxtqrvjYaw119jFNs0FZuqa0x/xRHBYQUEmxqrxxfghBltnoyiEYgRH/DKgi71wY5FSfF48/yOnecVoHp5ieifDd4wP8zsM15KbbiCoKBzq8hOUo/7qvkz0to/zZx1dSkOHAmWLj3rp83GNaJNGqogx21GQTVRTDOKwvTMNmlVhXms4rh/uoznWwskjrtGK1zi3oCpoefulQjxFh5J8J0zrin6OLTvROGE0mYr2ZOumjR/7ouK8+j/vq8+YYwbphavaQmw3WE70TPLmlzCCT4KI8dtitPLW1nGNuH4c6vZek2en7LpR2YDaULyelIV5NisvxOJsjkfXjY8+x2DkXGv9a1+i4FrhVnUlXM9+bdK23jUP5VkG859NMkujybV1purGA1yOFYuWkPt6ellFj3WBORTLLRfP4m12ZxphwafSHvvDXO26at5vH31WXOyeKaSEZuRBRZN4nNuoo3vHxcDnnu5LvKF4EqlkXmu/5Uua71H2uxLY3ryfnGyOWqIs9p9mpopdTidesIpZsWuhe6+RWvLkuR3l/OwQELBVLuvNX4VleVrBZJT66toTCVMibpwSS7vxNM21z2CSy00Qy7FCdZWVqepppIMMKliSJ8mwHGyuyKM1IpSY3nX7fNP99rB9JFKgr0LZ9/TMbeLd1mKqcdHZU53HcrRXI3n1hhOf3d+ELhAwjUWdfHXYrX/hI/ZzObPo+5tehsMzz+7rY0zJyifCKhfnHbfa0LpQ3fCc8CDcbS1lUXEvcSUIugRuGzwGNwCSAqqptwFKKCfWj6RcdJbPb5kAQhAeAPwIeUVU1bv1pVVWfU1W1QVXVhtzc3Muc/kWU5aRc8bHXGvqF9k2Be1Jr6GBTQBVgxA/n+/2M+4OoSRKewAwlGTasQHlOCgM+PwfbxkizijiSk/j5hhKG/WEeWV9I+3CQqBplW5VGCK0pTWNfyygbXJn85NSwoQ8eWJnH45tLeO3YABvKtUids30TRgh7Y7Vm3J3snaQ8K5V76nLZVpXFmf4pntxajsNuZWtVNqGIFvZ+oMPL45tKcKbaWF+awWvHBnhic6nRtUYnj3S9Fy/C9unGCkKRuR3adMSTpbGtfvX9dOJnT8soz+/vmkMiAXMILIfdGreV8HznNJ8j9vPFHDbxvNLm61iK48dMHi3W3ehyjHGz/bHcsNTFxHKc+y2E28KhfKshltjQYY46fOVIH2uK0wwSOTYa0UyenxuYYG/rKHtaRg2CXH9+dLmoR5+sL80wUpT1qFC9vpFZnugdN9cUayuo/W0e9rSMxE2nMxMI5ho8sc/wUsggPXUtnpN8KdE3l3u++cZZLNXWvI9OogBxiTEd85Eq5rWiWbbPZ9ubG08sBPMYANtrcuaQe+b9zOc3n/NgxxiSRVyw4ZP5O4u9L/G6111Nbd3rIe8Xi5BabsTW9cCSrvBGeJZvBPQf5vQM+OMsP5JNr6dMr73TMskWhckQjIdksjNSqM+zUVPsZGBsGlmN8q0mN72+IF1eP7tq8lmRn0FNkQNUkaZ2D4PjYR7dWMp99Tn0+aYJy1FCEZm2ET+f3FDIy4d72dMyihxV5uQN6w8fzA1XNBfgliwiz+xw0Vg9NxQQLv2Rxz6o8+UNm4+/1kRDwni7PFyP7+BOEnIJ3DDMzNYwAkAQBIm5nennw1GgRhAElyAIVuAx4HXzDoIgrEfTP4+oqjpyDeccF1/87wPX+xRXDCsQEqEgTaAyN4mUJIFUC9TkO+j3TvHDcx6mQjO80zyIKorkp9sYHJ+hKDOZkz0+FEXl+8cHWVGYQttwgJAs8+b5IQAcyRJD4yHKs1LxBILsb/Owu2WYU71TfOLuAk72TiJHFVaXOHlqWzmbXReN9hWFKexpG+G91hEOd42zvjSDM/1ThoH58qFeHttYjEXEGEfvsmZLkgyjU9dJsQ6OWPn3ypE+Hm0oMggq4BJHiNnTrn+mz0c3iiWL1knome2uuFFE8Uiny5GbsUTQQl3c4i0izBE/5gXkUto961iou9F8C5eFrudW1h0J58nV4XZxKN8q0NPT4CLBohMPZpzonTCaD5ifaXM0ov7M2qzSbA24fCOy6JjbN+dcOuSoVm8uLEfZ2+oxas+ZyShdZu+szaUmz8HJXq1GyPaaHBqrtUwLXabvaRnlub0dwFy5pKfgLURwzOcUj3WqL7VV/WJkyuXIuHjk13zQ5beZQItHfi1FVsXqg9jx4GI0kC8QmpOaON9Y5jF0AlI/Jl56Wbx1pf7bW8iJEi9qLJ6D4mp0zvVaw15JTeHbDUu9yiv1LC87hGSFiAr2OLlqwuz/IoeWymbRt6vQ5QOLALX5dgJhkenQDEkWkbvLc6jLzWDQN8POumxQ4cLwBGeHvPzs9DDn+8epK0xlsysTR7IVW5ImzK2SheNuHzV5DnIcKUY+qWQRsYjaTMzhjmbjMVbAg/aDNXchWEiQzsfgz8eeX8tw9YTxdvm4Xgb7nSLkErhh2CMIwh8CdkEQHgT+C/jhYgepqioDvwb8DGgGXlNV9ZwgCF8SBOGR2d3+BnAA/yUIwklBEF6fZ7hrguf/xwPXc/grgv60hoFpBTrGVbwTEVRBoNMb5VDrKJ6pCDtdToYnZdyjAaKyTN+4H6tVpG04xGtHe7inNo8ntpZywj1JTZ4DSRQpydQirqySxMc2FHF+cIJfeel9KnJttAxOMTEd4bWjA0xMhznc5SUsKxzs8PKNvV28dW6It84N8drRAX77A9XYkzTlavZYShaR2nwHjmQru+ry2FKZNcdwjNVz5uPNYfFwMVT+8U0lNA8G5pBB8QqonhuYMAitva0e9rRoXnezIWw+rxmXY8wvJSrIfD3xDOr5Fj7mxVHsfVlIjpsXFebxdFviSvXxraw7bnUC7GbjdnEo3wqQo4rRadJMFOj13Mzya2NFphHVGfvbjpfKqhM6sbXS9HNJFtGo9ba9JoedtblYRIGGcqdBDJi7PuvHWKW5ESTmaCXJojUDWlXkvETW6yU9YuW3OcIGuMRBEEt4xHu+48k5c4qVeb8rweXIUcmidagzy+9YJ4P5e52PXDJ/P/o+sePp0ElEZ6ptTmpzvDHNOtt8bKxzRT+/+TuczxkRT9YuFLE13/Yr+X6uh7xP6BANS736K/UsLyvIUYXO4SD3rsomKc6V633ZBvxaKpv+uIiz+05FoSLXySNrislypuFMkWhqH6F5aIISp40kQQIETvWMMz2tIFhgWlb4/f86ww9ODBBVtM5qNqvEhvIMNruysM/WXjAXAzXXcNBD+eNB31d/HWtULvYjjyes4u1zLcPVr+eDdzWtO5c77nRBlcAtgd8HRoEzwK8APwH+eCkHqqr6E1VVa1VVrVJV9S9nt31BVdXXZ18/oKpqvqqq62b/Hll4xKuDw26l8Hqe4DIhoaWuwdw6fZ4w5CSL2JMgMKMQUWBvl49t9VnUFWSwosiJoihIkoXK7CTy021YLPD2OQ/fPdFDWFY52OHFle3gfL+fRxvK+OmpYVYVO/jmUxtw2qyUZTno8wX4xIZC3N5pVhU76PRMEYzIqIqCrhpq8tJoGQzQWJ3NZtfctsr+UBiLKBoLib2tF1PGzLor1piXLFpBV8DwTuv/z/RPsbEiE38ozPP7ugw9Glvs8+nGCsM50zoyxYbyjDkd5PRzLVbsFFg0Une+qCDzQgeuzKCGS8P4FyK9Yh1Q8eYJSy/Eer1wM5xJCX16VbhtHMrLHbqNr3ef1J/VLZVZWMS5BMnR7nGjvly8mkdmGRfPqXxRHgqGnI7dJxyVOdx1Uf7p8lWyXExTsohzCQw9BRgwZHS84tp6xIo58kVPgdOzM2KLe89HmiyFlDDPXZ/HYkXI54N5/PkcCfp7vYafrvsWm6f5+NgoWvN+8xVIN39X5v/6XOLpq9jfifmYeN3VluqMiJ3XfHJ4oeu/UhLpWiOhQ5ZOIF2RZ3k5YjwU4kDLGFNxK2hcNM5TuFh7YjwIa4qSSBYgLIc50D1MerLImb5Jntxaji1JoiovjZ7xaT61qZi7yzLp9Pj5/Q+uYLMrhy98bCX/cbSH2sJUWof99Pn8/MWPL3CgY4zVxQ5DmCw1lC/2ATYXoDMfH/t6obDD+XAtCJ+lCo2rQTxvQgIJJHBjIAiCBWhWVfVfVVX9lKqqn5x9fcs5GnRsX5e9+E43CGapVpohksrFiNlmj0xeukRBRjIKkGeH6WmFzVU5HOscJxRVqStIp3c8zI66PM72+fjXfa3suzDGZHiG030T7G4dYjw0w331ubhyHJzr11IQvviDc+xpG+aR9YWc6fVTmZvCuf4Aj28upWcsSEVeClZJwCpZWF+eBgj4Z8Icc/tYU5zGMbeP+sJUXjnSx2ZXpqG7rJKFJzZrZa/MhrUuw/W6Rr5AiC/9qBl/KExUUZGjF1O89foeLx/qpSov5RKdqOvUw11eQDOCn9pazpl+LUE9Vk/GRjmZi53qhna8hYL5+NhaHLGfL6b7FjKozXOMt9CJNeLNc4o3z/m81QvhShZXi42XiEi+5XBbOJRvFcQ+o7ocio3+0Av/x4swMZPF5mcuNr1NjxDSCZ/9bR5DFofCMm3DAUP+6vLGnKak17HT5aOZNNfrzOlNgfTjzcW89WvR/+spcBZRIBSW5zQ9MN+fpd7HeNuWIn+WIqckizgnVXq+unPzRfTo+8U7r0426d279W6isZFjene7hbJQ4jkYzJ/N57CI/T7NczN3aotHLsXegyuR+4mon+WHpX4TV+xZXm5Ilaw8s6MKu10zvwtsYDd9rhfRNid0y8B0SEBQ4Xz/FJ0jAf7XA3WkJyfhCUToGfPT7fVTlpnCP7/TwaNbSnlsUzk5KTbaRqYoz3TwT0+so8Tp4LFNxfzTO5382v2V7KzNpXkwwJNbyoD4RuFCtQrMD/tiD9V8D+xSHsalPrDxwk2vVmgsFQsJ5QQSWO641RdQqqpGgRZBEMpu9lyuFYb9/ps9hbjom1AQLRdXbBFgIiQzHYqQbtUcHt2jfva0DDIRCKPKkGQR+dyDtWypzGIsEOEXNpbxyc0lPFifx4pCB1sqcvnW/m7ebfbwfr+W5nWg3cv9K3P5Xw9U89/H+/nxmX5QRaKKgk2SqM5zcKDdyyZXJmtL0/i/P2tndDLEX/24hfHpIMfdEwTDMmf7/TzaUGQsUHQP+nH3BM/t7eDd5hGjlt/TjRXIUYUXD7pZU5yGLUniDz9Uh8NmJaqo7GvzEJYVw0N+oneCJ7aU8uDKwjkLDz1SKBSWOdM7YTxfer2keDrNbHib9er+No9RBFYfP54u0xcQ80XsLkVHLwZ9jKgyf63C2HpH841xuYb4fPr7aj3Dt+qiYL4IgzsAt41D+VbDQs+LLpcWI6/NUYlyVKtvFEsq6IgqKsfcPtaXZuCwW3l2ZyU7ay+SS7FrFrPTW5fDZmLqqa3lnOidmBtJ2uczinnHW5/YrBIN5c45nTmvFcxkSTzn/Hz3MB7MhExsenGsgyJeBzM9Akq/L+Z7qN9TPZ3Q3E1UH9+8zezkiNeQIfb7mS96NvaazddgPt68bb71X2y02JXI/VtRT9zOWPTbuJ08y6GwzNvNQ5zunyBplkWfDEHQtI/u1ZWBQjtkWyE/FXq8YVJTBMb9IQRUfnRqgKwMK5/eWkZNXjq/vKOS++pzcaZI/P0brVwY0jy4KwrSCUVk/vHNdt44M4QkiuyozuH1E4PAxVaYWp7zXGY/HttrJmliI48WwuU+sEsxhmIFhR5uGltb4mqFxlLnlSCPErgVcRt54TOBc4IgvCMIwuuzfz+42ZO6UhxvnydM9SYjjJZOLQDO2ZDZ4QDY7RZ+/u5ynDYoybTj9YcJRqChNoujbSOc6Zvg9//zFCuL0vjWgW76x6f55j43b50bJiPVwr/80t1sqsqguX+Kf/z0eqwWCxf6/fzz2x24stIoz0plS5UTEDjQMcYDK/P53w/XYEuSaB4M8JsPVuGZDvNbD1XTPx5mbWkaVsnC6mIHrxzu5bk9nXM8zZtdmTy7s4r76vNoKHcCGBFDFVmpHOny8dzeDo506QsclebByTl1ONYUpxkRRWaYdY1oufSzWITCMi8ecBv1Q3S9qi8qdMN8vnbT+tzjpYzFw0Ke5oWO02ERL42AMnc1uh6YT39fqV6PdYjdSoiV2beRDF8KbhuH8q2I+QhsnZSJTWUyp0qZI4V0WRxVlDmR++aOaLvqco3OmPo4hzq1iE6zXNQjifTj9W2xnaPNEZpRRZOja0oy2FaVbdR+jYXuKJivnMdCWQcLPY/mz+ZbS8XK2IXGio34jLe/+Tszp6KZO55tqcziUKfX+B5jySiz3Iw3P30sc30q8z6x3w/Mrc0Hl5KDZnJJr70lR5U5v4V4v8tY4iyWbLpcJDJMlhcW/QZvJ8+yw27ljz+yghSbhcEQVGVr3ttMC2QlaTfDzIplOW2MhSHTnkRjnZN//MUNYEnirz+1DqvFAqrK2b5JVpdkIIkiBzu8nOubZCaqIArarbVK2v+CDDvNgxO82OTGmiSwoiAD/0zYKDC3rjSdXXVa22n9wY3H9sJFARHL/i5mvFwOeRTbzWa+fcyCIh4zHnveqyWPbpSRdocYggksA9zKXvgY/AnwEeBLwN+hdVervqkzugpsqrUvvtNNggTkpoDNKpAuaSnX7SMRvnnAjTVJxBeKsLLEyfpyB/1jQSbDUU73eOnz+hnxz/B0YyWVuQ5kRaHIaSM4o/Kdw/38+0E3qhIlwybR6QmwpiyDP/rICu6rz2FtaSaneicJywonerx4AkH++qet7G0dZX1pBl2jIZ7aWk5Oqp0ntpRyqneKcFTmffckTze6eHq7Vm9iT8soX9/TwXN7OwlFZI28OejmjTNDvNDUTTAcxSoJ7KzN4elGF1ZJM0y3VWWztjSTTS4nx9w+/MEwrxzpm0P6wNzC0ZJF5NmdVUbBWIhf7FqyiNQXphkLq1jdFs8BMh+Roi8gFquHZNavkkUrrBrbCCP2OH3f2GKzMH8jjGuJxYixpeJWJ1zi/RZuExm+IK6nQ1kQBIsgCCcEQfjR7HuXIAiHBUFoFwThP2c7dCIIQvLs+/bZzytMY/zB7PYWQRAeuto5LTeYHcixpMLR7nG2VGaxpTLL2LanZcSoD6cfJ1m0unJf39PB2+dHCMuq0aHLTBI8v6/LIDB0ctofit9sLxSWaR6ajEtW6bJTX7/ockuvlbSrLg+H3bpo9E+8QuDmtOfLiYyMFxkT7z5fTnqbfu0L7a+fJxSWeX5/1yWkWzynhX4PYo+LTVXT52Iey1zjyXw/Y+cTz2mi6xg9qlb//poHpy65xtgxY8+51K54C927RJmS5YelarvbyrN8sscHQOeYRiCNR2E8AkWpF29IQQp0DYfIShbIddopyrDzk9P9ZKVaeOvcMLKiMDYlgyqyyZXJgY4xtlZl8dimcn5+Qwm/vLMCh906G6rvY1VRBr+808UzO1zcW5fPJpeTr7zRxupiBw3lTl450mfyCKg0tY9dEnVkZouBS7oVXCuDLDZscr59YgWFWQBeD8QLmbweuNWN2wRuPdwOCw9VVfegFVb9CPAicB/w9Zs5p6vBe63BxXe6SZCBkWkYCqhUFqSQmgylziQybCKjUwq+6RmaLgzTNRZEiUZJtUqsLk3nwTUllDsdHHaP0To4wak+HzOKwu7WIaKoVOdksKkyH5uktXneUZ3L++5JXjroZpPLSV1hKggKx9xevn2wj/w0K5tcmXO8l19/r4ODnWOEZYVwRDWicfVaRLvqcnlqWzlKVOWF/d3saxvjsY3F2K0iT24twypZjMWFw25ldbGDFw+6Odw1zmZXJid7J4kqKpJF5MktZTjsViMCNtbY1euFmI38+cL1d9VpdYCPdo/P6WS0VC+0+fN40UjmfeJ1izN72RfrIrRQ19QrxVIN82sRfbNcCZfLvYaF3t+OuM4O5d9A68Kp48vA36uqWg2MA5+d3f5ZYHx2+9/P7ocgCCuBx4BVwMPAv8wSXrc89DXAnpYR3m0eNsgdM/TnyRy9sqsuj2d2uJAsWiruu80jhMKzhbBlhdahCdaXp7GiII2TvZOG/NlVl8dT28rnFF5eU5zGK0f6jGhRLeNg1KhN9MTmUk7Mpgubyap46xc9FQvmT6mNJ3fjycHYIt7mY+aryRNvLRFbagMuddLHzks/jzllej6yRP9OdJ1k7rwde32x90OXzTarZBynE3v63H2B0JyOePo45nqA+jli5xPPaRKvu5vNKvHMDpdR90r/DmPnHnt/4umzeOmPC+mRRJmS5YelarzbxrPsTLHx2PoKkoWL0UZ6BcC+wMVON/lpImVZdlaVZjAWCPOzM8P819FBhsdCyKpKTrKNqekgq0sd7G/38INTfexp8dA54mdjhWbk6ox0WFZpH53iYIeXw13jNLWP4bBZ+d8P19A8GMBmlXhySxnH3D6a2j1sdmUa4Zzx0r9i388nEK8GS/Fm3miDSVdC15rYiacQbrRxmyCrErhVIQhCrSAIXxQE4QLwVaAHEFRVvVdV1a/e5OldMT5+V+biOy0DnOqbZnQGun0Rkq0iYUCRVbzTKlU5dvKcKWypzKG530+vd4rvnuylpddL33iIFflpCIpKsdPOp7eW0j8xzac2FvHKkT7kqMKBjjGCkQjlWQ72tIzx7IvHWF2SzuaKHD7TWDq7MPEaC4kDHV6iqko4otXp6fIEeHRjEQBn+ky1iGxWVhSnUZajRea+754EBGxJElZJq5chRxV8gRCvHRvgic2lhtGsFVbN5lCnd05HIJjrrY710puNYbN+i211v7Eic85CaKHOPPNB18fzGbux3eJivezzkU7XKpo3FpfT0vpyo28WGmc5IeE4WjKuuUNZEIQS4MPA87PvBTQHxHdmd/kW8PHZ1x+bfc/s5/fP7v8x4FVVVWdUVe0C2oFNVzOv5QDz4t4iiuyszTUW8XDpwt0cPaJHEEkWkYZyJ60jWrrvrrpcntnpor44ne8cG2TTbIMD85gnTLXj5KjCmf4pHt9UgsNuNcaziILx/DtTbYZM00tZxBZY1tcq5nnHe97mI2LiyRpzEe/FSF0zYaITPjpi11qx642FopJi9cpSZKc+b33seNcnR7XOc3rHUvP3aSblNlZkGt+P+X7IUcUovK1/H/HqHC203tP3N6fUmedsHm+h+lyLYSlr2AR5tLywJA1+O3mW5ajCQCCAK1tC/yluqbWTZvpdikDLsEK7J0iaTcIzMUN2ikB+msSqcid59iSea2oj1WZlf/sYZ/onUKIq4WiUHm+Ao10+guGoUejTbrXw1LZy7FaJDeUZWEQBOarQPBhgY0UmclQxopUsomh0MtDzS3XEe7DMHtVrTa4sNwPvehA7CymEG4WE4ZrALY4LaDrhI6qqbp8ljaI3eU5XjaGJiZs9hQVhAWxcdIQkATOydtsdEtiTIMdpZcwvMzAZYiIwgzcQZkVRGq7CDBw2iaQkgf2tI3SNTXGyR6tz8f33B3m0QSN9Tvf6ePPsIB2jU2xwpVOZm47TZuWuUieSKKIoAi3DU4TlKPvaxgCVT28poX10iqiqUJ2fyquH+9lnKgyqk00X+ifZ0+KhNj+dbVVZcwgigK/v6eClgz082lCEM9UGXDRW9cKquqNF94bqctsfDBteerPRbF5omY3w2IileB7TpcC82IhdfMRDrNd3qeNda5i9uwstlHQsNfrmVtJtyzUqahniejiU/wH431z04WYDPlVV9RV+H1A8+7oY6AWY/Xxidn9je5xjbkmY5ZMuG3XyQf9c/90CBlljs0pGSqxB2tutPLX1YlTRyd5J7q3L56ltWmdKXVbGRnHCxRTbM/1Txj4neifmdFzT9wOtRpv+mflaXmjqxh8MI0cVozFB7PNmPv/lkBFLJSnM3TLNUUOxMM/BvE8swRMr4+KR8Wb9FHtP/MHwJXVj9c/2tIxyuGucqhwHMDdKKpaM0kkk8zy+9KNm/DNhIyXOXIOqodw5p2befPd6vigu8/3Q57ZUxOprfczrqeMSuPZY8Im7HT3LnkCQd86PUlPiJN2mRR+93xFkyhS9nWnXjHIJ6Bj140yRkKwSSUkWwlGZn53rpywnhQ+uLuTl/V3MhGXynMlYLRbuqc9ja1UWFhEjF3l7TQ7OVBsN5U7O9E+xpTJrjgdSFzbmFpiLCUOdETYL4aUavVf6gC6HB/taG3fLwWhcDnNIIIGrwCeAQWC3IAj/KgjC/VzsR3DL4pz75su7hWBFS8EuTtXeRwBLVKOTaktySE0WeO+cl7GJALISIRiWcaYkMeafQUBgOhjhkxtKceWlI4oiK4q0GkCu7FSa2sc40DFGZa6Dyrx0ntxWRvtwkA/fVYgkikQVlW8d6EVA5TPbStlRk0PL0CTBiMyJngnUqErHSIDt1TmsKXGyvjydU/0+/OEwzbMpbXeVZfHQygK212hFWnXo+m9NsZMnt5bRPBiYE2WrG/3mBYx+XCgss6dlRDO681IuWYDFS7vWFxSxUb7657ozZzEyyLyQiI0QXqo3fb7xYH7v7tXAPCedPIq3ULpS3Gq67Xre3+U85uXgWjuUBUH4CDCiqurxazLBpZ3zWUEQjgmCcGx0dPRGnXZR6ORAbESKuYabOSVpPnLWHwxzzO27pEW7OapIH18nm5raPTy3p5Omdo+RwmsmLPRubHrdVl2mhsKyUWdJH9NMlmypzDJI/ye3lF0yh9jrN8tr8z2J3e9KERs5aSZVzPuY77uZUIuNoAIu0UtPbim7JFInHgmzp2WUF5q6CMvxr9EiCmx2ZWK3WuZEFcUW/dbXj2ZZ67BrWS6vHRuYU5+pqV1LPdR/H7FkWLz7FUv4xOrKK5Hz8ZwQt5KuSGDxCKTbyrMsRxVaBqf5zLYyekamSRIgww5CVPPm6vAHIckC6XboHA4xPaMyHVT4ww+v5P0uP95QlI+sKmVPm4dVxRkIFoGmtovtj/e2jXB+YJJQ5CITHQrLhgDWH2T9QdGFjc7K6w+72TiOZ3zGdoeJvdZr2XJ3ofFudSwHgbUc5pBAAlcCVVW/r6rqY8AKYDfwm0CeIAhfEwThAzd1cleBzKSbPYOFEURTxv0B7X2OFRxpydgFeL/bgyNZQhJhMqTSOxYiK9VGsmThgfp8KnJSceVl8NNTQ+Rn2CjKSOaf3+7gsU3FRBV45VA3gUiYbk+An28owpFspaHcycbZAtYWUaQ6LwVFVTnVqxFCdQXpXBicBFXkicZSVhc7cdis7KrLxWG1sqEsC6fdxjPbXTjsVnbW5mCVRI67J4xIXDN21eUaaRFm+Rgbcm/2uGrdTLUOb1aLZBjJun5dyKO92Of6PrEFsOdLP4g1tuNhIX1qPm4h7+7VOIQWqhtyrXTSnarbrkf01c2M6LqODuVG4BFBELqBV9HWHP8IOAVB0HMDSoD+2df9QOnsnCQgAxgzb49zzByoqvqcqqoNqqo25ObmXsXUrx10p/CelpE5Le3NJDRgpCTJUWUOoQCas1qOKjy/7yIpoUe3xMohPdJzf5uHAx1jNFbn8OyuSjaUOw1CXycY5KhWm1V3cuvRLPq49YVplzznBzvG8AfDNLV7DILJYbca8juWmNevNbZg9p6W0Xk7gl3Nvdbv8XyRL7E6R7KIRgcy/fM1xWnAxZRk/b/Dbo0719hr3VWXy7M7q9hZmzOnY50+py2VWZcUGI+NzvIHw8Y6M5YMcqbYLiHtLKKWIm4eU/+d6Pd5PiLpct5fCe5UXXGrYrFv67bzLAcjEU64JxjzhxkOwlgQslO1uNn02QVDhh0kCUaC8ODqXEqzbAjAO+dHyM9IojLXQZ7Txu9/aAWHOseoztY6qDmSbPzeB2uxSUmsLMrAYbPyibsLZmsbjRGWoxzuGjfyg32BEM/t7eRw10UhGpajBolkFijxCo4txP7Ox+ZeKcs7X4TT5Qjy24FsSiCBBOJDVdWAqqqvqKr6UTTj/QRay+dbElORmz2Dy0O9K4XpUBS7BEPToKjQWJfL2nIHpRkpeAMhIopmQA75QpTmJFOQYeNQu4chX4Qt1ZnYJInmYR8OexIbK7IIRqL84XfO8LdvtvC19zr4ix9fYEVhCptcTqySyOBkiLrCVI2ocWUw4AsRUSK8eqifcPQiyXK4a1xLe7NcTL+QLCIWUQTUS5wtZpJGjyzSO9CY9Yhu9Or6sqFcm5dkuWgkmyNr5osi0mt16OeMNfTNkcHmAtix48bqVTPRFHt+/XrM51woUikermYxtZCNkMDV43p41G+yl/66OJRVVf0DVVVLVFWtQCuC/a6qqp9Gc0Z8cna3zwB6naXXZ98z+/m7s13gXgcem+3S5gJqgCNXO78bBd0p3Fidc0lL+1hiV2u0c1HurS/NMPYLRWREUeDu8nSthl1MAWV9/aHvv640nQtDF1OfXj7ca4ynR9Xo5TTirUsAGqtzLpnv+tIMTvRO0FidM6cgdyzBrs/LfOxcqDSUOw0iK1562+VmW8hRhXMD2roM5o+2NJNzclThjImI8QfD/MWPL/Bu8/Ac54OZlImXBhcvAizWWaCTg7FzidUF80U8mYlIs7NF/43p+5ojmfSABPN28z1MrPMSiMWCWuh29Cw7kq382oPVTE7L5CRrbJgkgE2AVJuIMwnGg7CiKIOfW5PHZ3dUcrrfz5oKJy3Dk1TkplKe7eDsoJcfnxqkMMPGrvpsNlfkUV/o4Hx/ANBaEIfCMl95o40VhSnsqsvlvvp8dtXl0lidY3RnW1GQTmP1RSbYKlnmpLjFE2qxBjbMn78aD1dqfFwNGXUzPWcJJJDAjYWqquOzXt77b/ZcrhTVJTd7BpeHfS3TjE/J+CJabaShiQhvnx7l/W4/bSOTVBemMxkIMToeBEGgczRAl2eatJQkfv3Bag62jvP9k30c7x6n1xNgf8s49iQLX/z4KlKTJX5xSwk7a3J49Ug/L+zvZn1ZBvfVFfCdYwNMTIexSRIPry5kW1UOdYVpdI5OG22fLaLAzlrN029uKd1Ync1mV5ZRABS0RUt9YSovHnTPIY78M2Fq89LmGOrmKFzd87ulMoum9rE5NQTNuio2ikiP/DU7b2INaLOnPNYgX0hP6553837mehr1BelxPd36ec0e71j9Od9iSv9sKViqLXCn6u2rve7rQfTcRILvRjuUfx/4bUEQ2tFqHH1zdvs3gezZ7b8NfB5AVdVzwGvAeeAN4HOzXeNuGeiEQryW9ubMhcbqbEAwshqOuX2GU/qlgz08urGIU72TnO3z0TwwSVO7Fg2kyURhDiFz3D1BeVYKx9w+QhGZ2rw0ZGVuGu72mhw2lGcY5zNH7ITCMk3tnksIeL2rJDCnKYH+uU7MQ/w27zrCsmI0S4iNUNLHutxsC63mm9bNTIe5U5n5nptlsmhKVXHYrfzxh1dwX33+vPLXnAYXW/PJfP/MUWLmdLgXmrrxBUIGIWR2PPiDYYM81COe9DlvqcyaQ0TGc2zEi5g16zTzPVyqoyKxzruzsCRNdLt4liWLVjiszJnKA6vzmY5ATjJMyHBXSToWRUEUodQJIgpvnBvhtePdNLiySLMmoUSjjE9HGJgI0jM2jSjCL2x00TI4zd3l6VgtElE1SlS5GB2Un2bj1SP9xgOrM/jAbEeFuaGgZnY41lA2M/CxQvxmYanGzE32nCWQQAIJXBa6+m72DJYO3a61KJBsgcIMiMqQmQpBBURB0zczisBXd3ewIieF1oEJwnKUPEcynSMBMtJFXjncy9pSJ1/9pQ30jgcozbbzszPDFGfYefVQHx2jfj7ZUASqyquH+gEVV04K77QMs6/NA4LKS009bHQ5eXxzidHNTddfe1pGeW5vJ2+dG+K5vZ3svjBqLEpO9k5yqNPL+tIMzvb7qc1LM66vKsfBK4f7ABV/KHxJxE9scWyLKFxSxNX82pwGouvX++rzDf0bmx4Xi/nGhbkpbebUjngedL2Ns9nTbR6neXBqzsIpXpRxbGeaWILsanGnLgqu1XXfLvftRjiUVVV9T1XVj8y+7lRVdZOqqtWqqn5KVdWZ2e2h2ffVs593mo7/S1VVq1RVrVNV9afXYk43A+bn3EzKmDthmdOQtlRmsaUyiyNd48iywuleP5tdWTy7q4r/eV81m12ZHHP72FKZxWbX3C6TYTlK+2iA6nw7Lx/uxR+K8Bc/voA/qJH/BzvG8E2HeLHJTViOzpFFWyqzOOb2AQLrStONNYl5H329EktGmNdCC0UAtY34iSoLRSjFP36hNYdOcPlDWgHrd5tH+Pp7HXMIe51Q0o+3WSWe3Vk1J9LnTP/UnHH1AuF6ZOx836v5Xhzq9BKMROboI90Z8uSWMk72Ts42jND0xDG3j9o8h1G76ZjbN4eY03WMed1ovu53m4fnODbi3RuYGwm1lK7ci93zBG4/XPa3fCt7lkNhmRcPunnz3AgnuscQgagAEyEYDoQoyUllegYGJiGsqGQ5LDT3T1GcZef8wBSgYhVEfuvBWqrz0lhTlIU1CTyBab51oJewHCU4owk8XfisKkrHle3gmNuHPxjmxQNu1hSnzXm4zezuQlFDscIl1shd7obKUiOVLmf7UrDc70sCCSR+o8sPm1al3+wpLBlRIF0AH5BuhWTJRlVRCp+8u5zMZJiOgGcyyNqydH5ufQnjYZW6Iic2q0hJpoOGCidplmQ+u6OCdSVZtA356RkL0Drs55H1hfT7gkQUBTUK5/v9PL3DxWNbiun1BWmszuaDqwq5d0UeGysycY8H+NZBN6d6p3hySxlw0ePZWJ3NszsreXBVAU83VhjNJvQ6D+bXO2tzjIKt967I5dmdldxdnjGbNjCCLxAyDGZz62SzIyY2Yme+jjux6QeSRcQfDM+pLXK5kbYaQZQ3Z9FgNrBjSa947anN7bqXGmVs9mJfK7lyoxYFy0kOXovF0O1Ivt0uDuXliFgiwFzfxgxzG/rn93XR1K6RFVbJwpONZVhEONDhnSV3tBTiqKI1WDjm9hm1e/a2jhJVQI0qvHa4j09uKCQjRYuscditSBatzs8rh/tQVJVNrkya2i+SQBejXbI52Ttp1HjVr0GXRcfcvjmFt81NDeDSdDb9ejXSptKI8jFHMen7muXoUiJkdKwpTuOVI300lDvZWZvDyqJ0NruyjDXZ8/u75tSi0gtVm8cxywd/MMyXftRMKCzPiYzVEa8ItV4Lyp6UZBQbN1+PzSoRVRRjPz06bZvpvPr3aj52vjp2clTBKlnmpBTGfh5bGFzH5QQLXI91XALLD3cUTWizSjy1tZxtNU6qizJ4ZnsFNlGLwf3o6iICQZm8TIkSp0jfaIDyXAcWQBIsrCtz8kvbK/n5TaW8eWaE1UWZrC518LMzQ3zzvU784RDBsMK+9lE+saGQAx1entvbSfPgJF0ePw3lTmxWibLsZI50+Yy82dhOavMh1jCFucX1rkVhuZuNKwlFvdIxE0hguSDxG12e6B6YvNlTWBQCmhJ3CDCpQn1BEmmOZNrHQuQ7k/n3I25QobEmG68/zGn3BDVFDs70jCGJIjMRhTM9Ht674CGKgtUi0jLoIxqFjRU5nO4d57VDfTy2uZg1JRmsLHYSVVSOdI3z2tEBHttYzNl+vxEqf6p3ij/5SD2fnU0PkCwiX3+vgz/+3ll8gRCHOr1znCEXhuZ6cM2kR2zBVski0jwY4I8/vIJNLid//qNm3jgzxPP7u/D4p3lub8ecuklmj71Z164vzTDG1mF+BvUFzEuHeowF0ZVE2pp1tXku5jSB2MVWrAyIZ+QvBUv1GMfDQgu064nlKAevljS73T3yt7JDebnBbMvrUTHH3L459W30GjX6mgHgqW3l7KrLw2aVWFeaztl+P2tL02OiMFU2lGt1jcKyMhtpFOb8wCRWSeCxrSWIFpHTvX4AHDarIQvP9E/x5NYy/ue91UiiyLmBCQ53XexKppMMUUU16rmaW9nrpIeZ1DfL+dh04j0tIzy/r8uIgNLlpTmyx+wsmK/bpe4AiI3g0u/vyd5J495qUauikSpns0o8s93FZlem4Uww1+jTC3ubEZJl/vBDdcZ4sdFGsTBHNunkkh6dOlcGCpfUnnrpUI8pJfGigya2U1zs7+tQp9dw0sSD+X7G6063FFyPdVwCyxO3p1abB3JUy6X9t/1uWnrGeOlIN5ZkK85k+Nm5PnrGZ1hdkEEgIvKpDWWEZhRqijIYnpxmwBciLCsc7Rwn15HMmlIH//hmO7tW5FCWk4okiLjH/Gypypqtg6SyujiDX97p4lfvqTJY7fdaxgjJYcNw1g3kpTyk8YpYm5nsG22oXGtBMJ+xdTVGWDxDPYEElhNu90XGrYqO8cX3WQ5QAL/mhKR5KEL/2Ayr80U6BqdprM4lHIG+8SCVuXb6fSFO9nmRVZX8DBu9436SbUm82TxIOKpwfmCKdk+As4PjHOga4ZG1paiCyuGOCVoH/SAogMC2qmwqcxw4U2w0lDuJKnph0gmOdvl46WAP/lBYc9o0llOWnYIkar9vczHsVUUXu5IChkfaXBhbh24gO1NtOGxWHlpVyAMr83hicymvHe1HjqiX3Bs99UGPStpSmcWJ3gkjdWBPy+glxrfuWX+6seISQ3sh/WFe1CwljSyWXLrWTqCFPMHzIdbIn082XQ89eqVyMN5CZTkhIdcTWAp0GaST21bpYvH+2OcyLEfxz4T5wuvnONCh1W3zBUK8fKgX/0yYlw/2zkn7iirw0kE3e1s97KzN0Tph2qysKXGyyZXJ6yeHeWJLKffV57GrLndOpOb60gwjVeuY28fTjRWGc8A858bq7NmmCHqNoYp5CXBzhIw5WlKLUtWKbuty2uw411P1zM+UvrYyyw/dAbCmOM2oa+cPhY1onXgdrLX5a44QM1HjC4Q45vbxaEMRkkWcLbytFfbWv4+hCT9PvXCUPa2j7GkZuaRLZ7y1W+x3r88fmNNcIRy9tIO3fm/1lMQXD7oNB42ehjefHFxKGpo+xyuJYr0e67gElifuqG9SsohsKM+gOjeNqCDiDYErK5moAK1jMtmpIsd7xinNlPiPY27C0SiHWkeIRFVmojIH27388i4X/36okxf29ZCVJrGrLpea/DTWlGRQU+CgqW2MYDjKtqpsdtbmcqZ/yugwIysKX3pkFR9YWcSzOysNxnk+wzGWOdehC4d4EUk3CteLTZ7vGq7m2mI9AcvNwEwggYRSXX74xv/YcLOnsCh0ysQC6Ka6rMD5EYXQzAzn+rysq0hHkkQsFisrCpI53DpGOCrj9kzQPDDF+Z5xzvVNEoxECcyE8fpnKM1wMO6PYE2CcFTl/KCP2kIHqCLnByfwTIfY3TKEbzrEvjYPbzcPAfB0YwU7anKoyXPw0sEeLZVbUVhdrBVtbSh3AlCbl4bNKhlFTM2dgczQ071hbgcgyXKxfqAz1cazO6v4n/dXX5JioC9oYK6RfjECSTVSMmLrccSOFa95hf55LGEUb2EUz1Gkjx1V1GtuYC/kCZ4P8eYQb87XS49erbc7oeMTuFVhXrDrUSlyVDEiX/S6p/6Q5oB+3z3Jgyvz2ORy8vy+Ll462MMTW0p5oL6AuoJ0NrkyjQiV++rzeHJrOaDOiY7ZVZeLM1Vr9X6232/M48WDbuoLUwmF5TnRRlFFndPByyyTY4t/60SOOXIoXgpxbM25o93jxjbzZzrpr9cK0mWtHh3kD4aNMXQCy2GzElVU3j4/zJ//sNmoNaRHEukRqfo89Aiv/W0ejrl9PL6phJO9kwTDUV492m80hdhQ7uRwl5fn93XhC4S4MDjN809t4P4V+UQVLpJW+txMdfvirff069G/G73+Xygs0zEyzbrSdI65ffgCIS1NLqJFUTW1e4z9Y2slxWu0tFiwgnlOV+u4v5ztCdyauKO+zVBY5uVDvQgWhSe2VJIMHOqcItkCGcngCyhU56STnGwjosD9NblEFJHNFZk4kqzsqsuhKN3Orrp8wrLM+d5JDrSNkyRaSBIlNlQ4KctM4cKQFuIJF9n7RxuKtIKiysUCZ7qRae5WYJ5rvNzneHmusZ/fCNyKbPKtOOcEEkjg5mBXXcHNnsKSUWCDPIdAEiADySIUZKSS7kjGYhHIy0jieLePQNjC4xvK8fojTIVUHrorn//1UB0fWlNMv2+a3c2j1Jc4yHIk8/jmclBFzvb56Pb6WV2ipUVMhyP841vtbHHl8r57Eoso8HsP1yBZtBSAw13j7KjJYUVBGr5giN945QQhOczb57Xinc/v70KnvnRZbBEvett1T/PeVg9f+lGzUZjUXHxaf2+ulaFvNztczAZzbCqB5jXPMeYRr26E2RCP17zCPGZs3aHYqOCFiJjYtt3XAvH03VIIlvn043xpIzcTsdeY0PEJ3KqIFy2vkxjH3D4Od41Tk283Usp21uawozoXh83KyqJ0nm6swJlqA6BtZIqDHV4j4gbgSJePC0NThMIy7zZfJOx14iIsR415VGSl8G/7e/jank7O9Pnwz1xMl9KfeXMdI10WmOe+p2VU6xYWChuZFvpx5nFineC6jDfLc73jmB6BJEcVI81Nv0fxIpa0iKZs7FYLf/LReh5eXcS60nRe2N/N8/s68c+EOdw1PifV2Rzp5Ey1sb0mhwdX5fPE5lJO9k4SVRRO9k6y2ZXFU9vKOe72EZYVHFYrx9w+LKLW5a6pfYzDXeM82lDEN5u6eOvcsKFH6gtT59wrc2Fr0LqWasd7eWpbOQ6bFgnrsFn5wkfqcdi0bqO6g+S++jy21+QY9QP19LPYCKLFyKOldPdOIAEdd9Svw2aV+GRDId852seJ/nGq8m2kJ0FlfjrFTjspNpGpcJhMh8Sa4jRODwbIckgcdY+ztTKXjtFp9rR4+KVtZXSO+vnTT6zGYZN4ekcFUVXhH97q4JObikmWLGwoz+BQp5fDXZrRmZOWwuObSjjTPzUnr9QsgM0Pr80qzcnP1Q3h+QxduPHet1tRuNyKc04ggQRuDmw3ewJLRH8IBvwqyRaNmglE4f2BABmpIhcGpmi6MM6zO13c7XIyEg5RkJXCurJM7irMwReI8pntZSRZRAozbKwuzsQiCqwtT2fYH+LLj95FRXYq//BWO4FImLFAhM/dX4XdqtXWCEZkXj3cz+4LI7OLENWQsyfcU6wtd7KtKodu7zRPNZbzq7uq2FmbO0cWm7uPgqb/dtbm8PCqAkMH6h5pc8qZbiDrdS3MraRjMV90zXytjnWYPeHm5hWxY8ZLI19I35ivSV9cXW7E0GIwL1Ji53s5iPWa64u7pbZ2Xsq2K0W8VInbGTebtEvg2mG+71KPjokqKrYkiYZyJ8FwlK+80UZNvp3jbh9vnx/hhSaNoLFKljkySWtQIBo1fAAsIjy5tQx/OMz5wQnWlaYTCss8t6eTn50d4vzApEGiWCULFkGlvtDBY5uLefVIP+tK02mszjZSf99uHjJksVkW6Ne0qy6XJzaX8vLhXiPK8/n9Xext9fDWuSH2t3mMFvX6ceYoLI2E0rqjvdDUbUSj6pGi5g6XtqS5EUuXZmgIOGxWQmGZM/1TPL29gmd2VOJIthrd7PRoL38wTFP7mBHppH9Px2e72O2szTW6z+lj62lmDeVOdtXlGsWvo4qKJIq4x6Y5P6h1vqvJt/OVN9qMJhCgFT9/bFOxoet21eWyoTyDqMIla0CbVZpTwFwn9mIdFZdb1iRWpyaQwGK4vTVtHOQ4UvjFzeVsryxggyuH4rxUCtNSyc2waalq4TBvnPDQOTxF68AYTquV7hE/F0Z9dIz4efWoG0kUWFuaScvgJGf7JpAVBXtSEr/5YBUdw0Gq81MNhhgwQg9jySMd5mgkXWjJUcVotanvY94/HubzOF4NEoIkgQQSuFMRutkTWCLsIjgs4I9qhbWTgZxkOOv284ubK/j1B2s4OTDOie5xDrd7+cJHVpGSJNE6MkF5jo2zvVMkWyQ+fncp3SMBjvV4+KPvnOXj6wsocTrYVJHLH394BTmpdn73oRpePz7IO83D1Bam4h4LUp3nwCKKWCWRzS5N74VlFYsosK4kG0eylae2lhsecj3EPzY9Gy7qHJtVMrrv6NAXIXpxVt2brRcH1WscbanMMkgPPYIJ4uvOhnJn3O2xEUuxXnbz9nivzdcyH8xG/5VGDC2G2DGuJE1Mj/7S3+vjxEZOL3bu+bYtNkYCGhIpercP5ku/1KNUGsqdBmFzuGscqyRwT102p3v9hGWF9tEpyrMcHHdrZNDR7nGjcLSsKJzuHWdf25hBsEcVlf1tXn7zP04RDMsc7PCyr22MilwbHSN+qvMchCLaue8uT+fZXVVYLRIn3JNU5aVw3K2tR7ZUZrG2NI1XDrnZfWHESB3Tiz+bW9g7bFae2a41VHDYNR2wrSqLDk+A1cVamnNYVubIWrODfFddHr96TxVPN1ZwpMtnfK6lP18sHK6TSvrayVxkPBSWsYjCnLpIkkXEYbeyrjTdOJdOvOmODD3SaX+bh90tw5zrnzTuD2j19SSLRtJ1jmppZid6J4zvN6qohKMytiSJLz2yis9ur+Bw1zjfOT7Irz9QycneSYM8ayh38tqxgTllS1462MP5wQlDT+pYKIggFpcr629GLd0Ebl3ckb8SfzDKvx/qYHgyRFVOOm9fGKShNIv7VxWxvjyXvDSR0pwUxoIq/T4/Bc5khsdDlGXZ+fNPrMZhtbKiIIPWwQDhaJR/a3LjD0V47XA/E8EZ2kcCRh7urrpcGsqdvHKkzyiCFs+gAu1h10NOr9RTeC2Nz4SxkkACCSSw/BFUIKxlIKACUaCm0MHWymxe3N/J7tYhTnX7SLdb+NjaYl464GYiGOFA+wjnB6bwh2RKM+30ekOEo1GsosTDawtoHw7iD4VprM4mJy2FLZVZtA8HWV2Swe88XMPr7w/x5NYyHl5TyM7aHDaUOznm9rH7wii7W4bY5HKyrSprdhGkkUZN7R78If1/eE4bYmMBFJ2/XXN9QfqcNDaz/jS3hn7pUA/1ham8eMBtFBY1Q0vlGObFA+64UUvxUkoul/iYb//Y6zOfc6E5XAmudgzz8eYuSPpCzdwVaSnnvpz5JGyQuUik6N0+mC/9UifGdTJie00Ou+py2Vmbi03SUpnuXZHHM9tdWCWBQHiGI7OZDid6J1hfmsHBjnHc4wHOD/nwh8K8eNANCGyvyWJTRTa/vNOFRRRoGZokSUyivjiNqKLy8uFeCjOt/PVPWwnJMqDSMjzF1spswnKUF5q6aWofwyZJrC/PZKPLOacjWFO7xyDy4WJDAsBwigM8s92FM8XGqqIMo5ZdLCmik/U6ofPm+YsRT/r98gfDvHy416hjtKdllKb2MaKKaqTRvdDUzbrSdBx2K482FHGky6d17pya5i9+fIF3m0eMCFZdr+gp1k3tYzSUO7FaJJ7cVjYnCEBPH5MsIquKtPPr0U+hsMz5wSneOj/E2+dHONI1zsneSRqrs/nkhkLah4Nsqcyiodxp1HzSySt97fh0YwXPbHdxzO0zagTGOgHMkUnX8neZQAJLgaCql3YuWe5oaGhQjx07dkXHeqam+bVvv0+qTWJXdT7vtg4wOBZiYCJEZX4KiqIiKwrWpCS8EwH+6tENfOn1s2yozMQXiCIKUOJMIUkQqS1KRUSiechHbV4GrcOTIAjUF6Tx8JrCSzynuiA0v9YNJF0o7W/zzFts80oe7Ks97kqPv5pzJ5BAAlcOQRCOq6racLPncbNxNXpCR8Xnf3yNZnNjsaE4lW5PgBkZ0lNERIuIEo1qToqowCfXl/BW2xAXBkN8eF02oxNRfu7uYva2jCIisKHCyY/PDPJXn7yLr73byb11+dxTd1Ev+WfCHO3ycX5wkl+ZbQixt9VD68gUT20tN3SHzSqxv81DwyyxpNc2Oj8wgSs3ha7RaVYWaQVfD3Z46fAEeGJzKQ6bdU4dI3NNC7Ne0XVprK7RCQ495Q2YkyKne5ajispmV+a8bY1jEVvnY77IpYsLkfhRSfFqNOmfxTvmeuBK9HPs/G7EfBN2xPVBQk9ouBZ64lrDnM6lE+JyVGFv6ygA99XnI0cV/uXddjo9fkqz7PzGA3VIltluz60jWrv2ZOuc50eXS7ps9IfCOGxW/KEwLx3s4ZH1BXz17Q4aq3Jx2CQ2uZwcd0/QWJ1NU/sYm12Zhrzd2zrKJlcmkiga2/RIUH3eOuFzqNPL9poc/CGN8Hlmu2uODInt1qavi8wEmz8YNs6jX8uelhGiilYDCDB0jX7OhnIn+9pHsVokrVvZATdVeSlsrczGmWrDMzWNM0WLin23eZidtbk0tXuIKrCtKosXD7p5ams5h7u87KrTzuEPhXGm2oz5HOwYoybfzt+92cH/friGV4/2U1+QzoZyjVQ67tZIs8bqbEIRmb/48QXuqcvhnto8o/5tvPWg+bvXkZCDCdxoLKQn7qhfoxxVONU7ycfXl1CZnUbziI9zfVMMT2iJCp//0CoCMzK2pCQ+tKqQfGcae1tG2Vqdjc8vs70yl/vrChFnySObZGV7TRZrS7Jw2CR+eaeLtSUZ2E1CTodZQMTmmOrCAjBqIcTOezEv3EIewMvFpfnDl4+E5zCBBBJI4MaiyAapEuQ4krHbJMJRWF/p5N76fKoLMlhVlMWfPLKabx/rZW1pJv9rZwWjE1E+vraUh1YW8GcfW8XvfLCWI10+vP4ZTvdM0FiVw7kBH197r4N/3t3B2+eH+csfXeBk7ziunBQOd43T1O7BIgo8sbkUm1Uy9JkOc4ee++rzeGaHC0dyEiuLMri7PIOXDvbQPDjJYxuLOdM/ZaRKmGtTxCMv9JTvWGdNbOqZueC2vk337F8JeTRfJx1zGkpst6HYc8cjj8wRPtcT86WWLYbYtImlpFEsNIelILFoSuB2w3xRifp//dnUSRgtskYjvM2HPr61hIdXF2ERREIRrbPYP+9u59sHujna5SMUkfmTH5whFJHZ3TLMj08N4p8J86c/PI/HP83Lh3sJhWWOu31U5qTSMRzk3ro8NlVlcKbfx3H3xJw6Sjoh39TuIRiO8mevn+e9llH2tIwaNXn0CCo98mlvq4eoosnGk72T1OalzZGT5uLRcLGo98aKzDkpXTarxJ6WUb7+Xgdf39Mxm5qmdePU5ZCeRuafCROWNYeJ1SIZ3eMe21SMRbBwsncSfzBspI2FwrJRAyqqaOlpsqLwxOZSZEUBBOSogm86xOdeOUHf+BQvHepBjiqsKU6jbTjIH36ojpy0FJ7Z7mJtaRpn+qewJUk0Vmcb3UZP9k7y+Q/WYk9K4pjbN4c8grlRaOaIrIQMTGA54o77VUYVlc5RP7Ia5Ui7h+Qk+JV7q/m5DWW4clKoK8zko+uKeefCCA+tLCCKysrCDGRF4WCnh1A0ggXQGhaoHOkaZ1tVlmaI2qzsrM018pbNCsH839y1QA/xNHeXiTXsdKEyH3TD81oZncshbD6BBBJIIIGlQwAGQmAF3mzxEpVlKnKsHGsfZzI0w3ggQkNlFv/3ZxfYWZ2LVRI57PbxUH0hDrvI83u7+LcmN9853M+9K3K5r74Qq0UzbhUV8tPsrClO5566XD73QBXJFgtdnmlWFaeyqy6Pza5Mw9u6vjTDMLD17mqAQarYrBKbXVlscjlpHgzw+OYS1pZm4kyxGbUA97Z6jH2fbqyY4z2fDzqpFNstbb6ONEvVT2bCSK9RYq5nGFvDY7FaEvHOPR+xdK0wXx0N8/xvlMMn4WBK4E7FfOSt2Wmry0/fdIgXD7pnIyWzAIG2kSl80yH+6Z02/uaNNirz7SiKyr/u62ZfmwcQ+ERDKVursjTyQxXwhyO8fqKff97dwjsXRthZm8XpXj+lzhT84TBRhdn6dZlEFfjrH19AVVTWlqZxzO2bJXJUQmGZFw+6mZiWsVst7KzLBuFiCnJTuwd/MMzeVg8vHezhsY3F3Fefx666PINg2lmbw4neCaMWUW2+Yw4xrxey3tvq4U9+cBZfIGTI1l11uTyxtZQ1xU5sVq24uH6cPxjmlSN91OTb+dKPmjnbr+kiPRIoFJZ59Ug/oGr1jRSFRxuKONzl5b2WUeO7iCoqZwd8fPH1c3ztvQ7+9PvnCYZl9rZ6aGof467iDFoGp3lySxlyVOHlw72sKU4zOqWFIjJ//dNWavLtNLV7jLWgVhRdwZliY1dd7iWNI2J/I2bZfKWEfwIJXE/cUat7ySJyV2kaZ/snWFGYxi9udRGOKPzkbD9DUwH2tHrIT7PS1D5KOBzmx2f7ee/sAOcGprAgsrk6ix+dHKAoK5l9bR5WFjs42zfB4S4v/lCYPS0jNLXP9TqamXZzcTkdOjGke0hjDVMzroXBdSO9fguNkRB+CSSQwHJHdcrNnsHCsJheF6Zp/6OCVsGhLDsNUVDIsCez+6yH9sEA8oyCPxihyxugazRAVWEKp/p9+IMKEUWhKD0F0SIgiLC2xElUUXireYjWER/P7W2lMj+FfW0e/uwHzTy6uZjq3DT+78/a8U2HONzl5UzfuOEtfnxTiRH9Y3aeAEaL5xeb3NQXpnK2309jtfaZvjBoHZmaE3W0v83DnpbROTV4zOSUTu6EZeWSbjzmc+v7LhV61LBelFV/Hc9zbCaGrkSHLoXUuhLdOZ9jyvx6ISfVtUbCwZTAnYql1AVz2K08uaWMs/1+nthcakTZWCWBxzeXcKp3CkEU+ezOCn7vP08zLUcRFJU1pWmASufoNF97r51/a+rh9z9US8vgNAVOG5urstnX4kFEYjwU4s3mAX7rlZNMzsyguSDgwpCPKCpPbCvlffcEYVnhQMcYICArCo9tLKapY4S7StPoGgnSOuhns0uTjWf6JjjQ4QVUavIcHJ0tfA1aetmhTi+hiMya4jRePtw76yQQjH3M3afvLk+n1JmCLUkyahzJUYVXj/azoTwDfyjMC03dfPXddr7+XgeHu8Z5cksZDquV0kw7T24rA+DFA25O9frwh8M8ta2c++rzCUVkPvft9/nmvi78oSidngBPbC1FsojYrRZ+eUclf/KRetaVZnHvylzuqcslqkbZ0+rhFzaXGBFFh7vGqchK4UjXuNEB9GTvJDtqsjnXHwAEQ0dpEa95c6KK4gUZ6OtEfzA8x3ERq78SBHwCNxt3lPaWowoXBqf51MYSOoYC9HoD1BVlMBUIMxOJ8trhbt7vHWfMP0NVURpZqTYqCtNJkqAiJ5VMWzKfaCgh3Wbjnto8zvcHEC0Cq2a7CQTDUSNs0tzZRfdI6iH5ep6ybtjGhi3a4qTALWRwLbWQ2rWOVLpSJIRfAgkkcCvAM32zZ7AwokBdtkgy4AtohFJVTgrZNoHuwSk6RmX8MyF2rcrh5xpK+PlNJbz6P7fxxY+tYngizPikzP93XyX72obpHJvih2f62F6bzX8d6SUYjmKxgCqoVOY6eOiuQjqHg+yoyeGvfn4VOal2MlKS+PwHa2keDLCh3MmaEq0Tz56WUSM9Qjd8zR72XXW5PLPdxcqidE71ThpFT/V9bFaJZ7a7DJLGnHKmd8d5fn8XTe0Xo4L2tIzy/L4uo12y7pAxRyPpXdli9eBiukjXy7GvzcdeCzJksXnES51bylhLJWwWGvta6utEXaME7mTMZ8ebobWCVznY4Z2NfvEQDCu8755gVXEq1XkpjExE+MZn7mZbVS4ritN47XA/iqpSlW+nbzxI+8gkNklibWkazQOTWLBQ6EymPNfGD94f4PceruMXt5bRMxIkqkbxhTQiqSzTgSSKtA77ubs8HYsoUleYwv/5SQuyonBvXQFOu43VJRmsLskw5OHKonR21uZwX30+G11O3rkwgj8UNuT3utJ0/vxH5znS5eOpreXsrM0hqkYNh4AcVTjcNc5b54Z45XAf9UUZhCJa5813m0cAqMpxcLBjnJcP9/LI+gLWlmTwzA6XQersax/Fgsj7s9GwdfnphGSZ33r1FO80j+CbDiGJIo82lHFXSRYWER7fXML77gmjaPaRrnHed08CKl2j04RkmY0Vmfz2B6r56tsdePzTvNDUTTiqpdFFFa2bp77Oy7AnG6lrkkWcs9aD+OnOeure9pocGsqdvHjQTVP7GGuK04wAA7MOTRDwCdxs3FG/Pv3h3FGTy9EeL/suDCEgkp5m46E1RayryCI/3U4kGmXv+RHG/EF2VRWSJFiozU8HQaV7eJrmoQktfLM2h8c2FXNhcJrKHAcWC7SN+PFNh7Tw09nQS11YHOr0AsyJNDLPTRcMV0KwLBdBstQ6Cgnhl0ACCSx3+G72BOZBGhpZJAETQQVRgJV5dhxWaBudpjY/BWuKhepMgTS7lWOdE/SMTfKNvZ18+7Cbr/y0hf/36fV8dF0x5/omERC4p7qAD68p4E++d5ZwOEy3109DhZOPrS1mfUkO/+veGiwivNfi4e/fbGP3hVHWlabjTLGxplir+bDZpXUPaqzO5qmt5XPaGpuJHMmitVG+rz6fXXV5NFZnGwVFgTmRurE65Wj3OJJF5Kmt5eyqyzUihBqrs/nVe6r41V1VALx40K2lFtitRsTQxopMjrl9RJWF28rH1iOJ93q+Y+fDUtLvFiNw9PbU8xXvXmisxfTtQnr5Wjp9bgUH0nKeWwK3J2Llg2QR2VCeQcvwFMGwzNrSdM70+zjR4+P//KiF3c0jrChMISfVzraqLO6pzaO2IB0QSE1K5lfvrWLcH+atcyPYJImfu7sYqwTdngC/+5+nqM1PIyfFxn11BawuzSA4o/B7r50mJGvNgg51enlsUzGneicJy1G+f2KIX3+gkm8f6qd5yIccVbivPp9Ns9FH+vpGlx/NgwE+/8FaTvZOGtcmiSL31uWzrSrLcJT/5Mwguy9odZS0GkQqVknk6cYKdtRkc6RrnGA4YshsqyRiEeHj6wv46tvthGXVcMo/v6+Lc72TPNlYhlWyIEcVdtRkk5pk4SNrSmgenOBz3z7Bv7zbjjVJYE2pg90twxzqGOd0j49gJII/HObC0BSgsqMmh+r8VP7sh+f5ny8f5333OIVpNo51TbKiIJ0d1bloneomOdDhNZwfenqaHmkUL10YLjojzCnWum58ams5jdXZnOmfMjrsmWV/Yv2UwM3GHfsLTFJVynLTceWmkCxasIgCdxVn8kcfqafI6cBht5KbZsc9PkXXWICzgz5QRVYUp7F6tvCnHFX4vz9rZ0VhCg6bxNbKbJ7cqoWdPr6phOPuiUtqMcQagWaCSfeKxjPklmJcLoalRipdKS7HMEwIvwQSSGC5I+9mT2Ae+NGij2RgbBqCKrSNBUGFslwbhRkOfIEoruJMFBkebyhleCpC29AkqqzyiQ1FFKenUF/sYE/rKJtrsjjiHsOWJHFvbR6Pb63hl7aW8Z3jg9QXpdHtDSCJIhvKnVglkd97uBaAlw728MaZQV462EN9YSoOu9UwivWIWtAIIb1oqDl0HzRdYI6+Ba0OxaFO7xzvbGwq2jG3b44+1c+pG+61eWlGsVSzcW5OJdDPP189oNjPYqOp9G3mY+PBnJow3z5LdawsheCZb6zFdPNCNZuuldNnqWPdLBLnViC4Eri9IEcV3jg7YKRB6duOuycoy0zh3ZZh3msd5Wy/j880lvKFR+r5zYdqeOVgH//w9gW+vruDfe2jhKMyvWN+RqeCfOkH57AmwWvHevjpmSH2tXkRBIH7VxTyzPYq1pdmsa9tjGNuH5tcmThsEh9bW0pachI56VbePD/MoQ4fIHDvijye2FxKTqodOaogKAKHu7z4pkP8n5+04A+FaSh3EozIRsTRxgqtpl1U0aJBv/5eB//8XjsXBiY50DGmyUJFI5U2ujKMQtsWERqrNQLmcNc4E9MRhiZniCpafaHNrkwsosj5fj87a/KxSgK7L4yyr81DdX4qokXAkWxldbGDF/Z3IysK1QWpjPqD1Bc6WVeaSV1hOqgCrx3q5/cermVLVSaqAGf6JvnyT1t5dGMR99Xn47BbeaC+gC9+dCWbK3PZWZPHM7tcdHsDBglmlSw8ta0cqzQ3JVH/Ds3vdcSmO8fWzJOjCid6JwxZadarCSSwXHBHreJ1I+5ol4+P3V2OPyRTlpHGz28o540zg7x+qp+jneN8oL6QZ7bX8uDqApItFmRF4ZTbSzgqE41CWFb5yx9fwBea4Z7aPC4MTrOuNJ2XDvZwpMtHVFGRRJHmoUlDkJq70MDFWgfzeRPjFdi8Ft7B60nc3Og6CgkkkEAC1xM/t7XkZk8hLtTZ/xkS2ASwAY5kAasE2ak2jnQME5XhUIuX/KwUJkIyd5dnkpQk0j0epHNomn98t5Xff+0MualWhnwhNrsyGfTN8NSOcgYnpznd66co3cY/vdPJx9cXsK/Nw4tNbs70+zjWNYlFFHhyaxl2q0RlbgqvHumfs/gx66TtNTlGhx5zKpnudTZDT3HTvbjm9O54iCpzu6PpY9xXn8eWyqw5kU2xqQTmc5pfm3WtOSrY/Ll5vNiUhFjoxNViDpyFiKiFHEDmOc+3aLlaYuRa2g5LIY9uFomTiJBO4EZCjmrdvf7jcA8VuTYjXckfChOWFexWCw+uzCc9OZkvf2oNTruNb+7r4m9/2kogItPnDRGMRgnLCi1DU4SiCk0dowSjMslJEmk2C4KokOOQqM5NZ/9sN7cLQxO0DE+yrjSdgx3jBMMKI/4gD67O42vvtLPRlQmCwtrSNEIRWUtJjmjFs5/Z5WKzK4uz/X5++wNVnOyd5KdnB/n67nb+6Htn6R6bNDnOBSSLSHVeGqhQU5DOtqpsttfk4Ey18ecfW40kipzvn2Rf++icLnNhWWF/xyi/9YEaEBT+5AdnOdDhZUN5BhZRxCqJbHJl0jI8ybm+CdaVZbC6WHPuv7S/h6nwDHtaR2kdCPBUYwUPrc5nXWkmdquFmsJUeicCHOny8vLBXmrz01hX6uT+Ffmc7vUb3dmOdo/jTLHx2e0VnOydxGGz8sx2l9G90yIKOGzWuF015yuWHg/z6aBExFECyxV31C9SsmhtHttG/CQnC6QkC7xwoJ1R7zTHO72c7BzjPw67+eGZXvZ3DrOvzcMnNhYjCQIIAuGIypvnB4mqUXIcSfzNT1tBUFhXmo4tSWJFQRo7a7U6DXoNB8kizvF+Aoag0UPvzUb2UoxLHYt5G28WEt67BBJI4HbAb31w1c2eAjlJc9/XpGmd1gAmZJhSYQZId1h5arNmaIcUAUmCMOAemqDd4+dYl5eIrOCdDPHBdQUkCSJ3l2fx1I4KavMyONjp5RMNhTjtNp7cWs7d5elkOZL5/Ae1Iqwtw1M8sbWUz2wro9PjBzRHya66XLZX5/DMDhdwUf6vL83gUKeXPS2jhiGu68GNFZkc7hrn3MDEnAjcUFiOSyjp0Atpw0V9aRHndvAxk0hmAiqWZJmvBtJ8uiuWVIpHJMXr9ma+jtjoq3hYiDxZKKJosfT35WYnLISbPddb4R4lcOvCTLTvaRnlffcEdQXpfP/4IGuK0/jJ6UG++Po5zvX70AsxRxWV7x4fxBMI0j8RIs+ZTEN5Nr/7wVpGJ2dQVIWQLNPrnWZTWS4lzhS2VecwGYpwvMvHm2eHiSgRZFVhT+swsqLy2KZiJFHkp2f7OT/o4xMbihiZiPDtX93Cg/V5vHlumD/+/hmee6+TUmcKkijy7M5KbEnSbPOgiOFAH5yY4R8+vZ6izGT+4DtnqC9MJRTRurcBWCwqFgTaPZO8M1vPKBSWkRWFlw724MpLIRxRCcuK0blsa1UmhWk2WgenUVSFaFTlrlIHZ/qnWFuaRofHD8ATW0oJKhH+5o1WghHt3kYFhX5viLP9E/T4ppFm9YRVEpkMzfAH/32G33iwBptkpTovDbvVwr0r8rinLpfzAxN8Y69WY08v4H3cPUFU0a4ltjafmegxIzaqaDG5djkpxwkkcLNxR/1C5ajCmf4pHt9cQudQAFuSxLaqbHZ3DOK0J1GWZef+mjw6hwNsrcjl4ZVFXOj3k5wk8fG7i3HYkhBFsAgiq4uyuK8+D4tg4aWDPexuGcYiXjQQ97d5Lsl/NYfhA4YhDczLSi90LbEh69cTSyWEbrbhl0ACCSRwrbAcQsY9kbnv26Y0YgjAPvsnAJGoyo+ae2jumyI3LZn6Iht2CSRRYGdtLttrc3hwRRGKGuUPv3uKqKryC5uLee1IP4ogI8sK/36gl6++28rXd3fwVz9pMWocbSjPYGVhOoc6fJzqneTpxgq2VWXz4gE3Hv80f/bDc/hnwhzq9BrE0TG3b7bNsjonfQ20+7qrLpenGyvmpK01tXt4t3mEPS0jc7qtgaZbtlRmYREvdu3RDXh9zKcbK4D5DXGzfjaPb04lN3d608dayGts1nkLRUqZx1pIn15Oile8OkcLHXsr6eVbaa4JJLBUhMJaUWidRLKIAptcmaTbkqjOT0VWFL57oo9tNdk8sa0Uiwgv7ncTVaNU5qbw3eODfO6+KtKSrGx0ZdDc7yffaUWOwvDEDNtrchiYmqYgPYWfneqntiCd0cAMq0oy+MCqAu6pyUMVVAZ8Qb7V5MYXmqEo3U6vN8hLTW4OdY/ww/cHeeVgHxsrM5GwEFKiXBia5Pn9XchRhb2towTDCu2jfq14dJIWhdo5HGR1YSbrSzORFYUv/aiZYETGFwxhEbTIpV/YWMJrR3sYmgzw3N5OXjzgpjwrFVSRt84PcW7Ax+piB03tHva3eRmcmuGuUgeyLGKxCBzumDA6d358fQEvHnCzu9nD6b5Jtrpy6PJMI1lE/kdjBR9aU0xtXjoPrMxFVjRialVxKhcGp5gIRJBmdYlVEgxHhM0q8VRjOetKnWx2ZRqp0qDSWH2pbF1KVog5OnUh8ijhfE/gVsIdpaF148omSURUBUWBrtEADlsy2Q4rH95QRtvYNLvq88jNsLK9JguHLYnffqiGkz2TNLjSeWhlMYKo0Do8iUUQ2VqVydONFdiTkmisziYUlmlq9xCWL/UM6oWzzYz00e5xgAXT0+a7lvnS3xY67kpwuYItYfglkEACCVw/ZEhaEW1HMgSBbXU2hsbDjPhmSJNUvIEww36FJ7dWUlns5PWT/Zzv8yFIKooq4pmYoTDTxquHemkZnkSOCJoRj0J1fioWSeAPPlSHLUni3eYRXmxyc1dpGu9cGMIfkg2ypDbfwQn3JOGIZpxHFXVOupbDbqWxOsdIR9OhkzW6ca6nrTVW52CVROMYYE5amJ4Krm/XdZL59fP7u+KmxumITSeLJV0s4sXWy/r+ixE6sZ+ZCanY/a60zlG8feKNdaP0b2Khk0AClw/JIlJfkG7IHj2V65kdLuxJSdgkib/+5Gr6x0K8fKCX2sJUeseniShR1pVlUJmTyj+/3UmBM5mmNi+nesbp9QY5PziJJIp8cE0hzQMTlGTZyUyzkSRqUZofXF0IwOGuMT5QX8Tn7q/CPRbgyz9poa7Iwc7aHHq90/R4AtTkp+PKt3O0a5zf/VAtdkliVVE61bkOQrLM6V4fETVCXb52HbsvjHCuf4rzgxNYJZG6gnROuKfYVpVJNAq/8+ppjveMsafFw5leP6tLMjjfH+DJrWU8saUUh03CYlEpdNoQBZFDsyl1CAoNFRm8c87DnrYRfuPBGt6+MMSL+9yMTgV57XA/gXCYjpEp1pU6uac+m7r8dPwzYV4+2EsgEua7J3o50zfJC/u6mQjO8O8HexnyzbCjLofz/QEsIuyszaWxOptDnV7eOjfEyd5JGqtjaw4JS5at+vosNup2vuhU/ZiE8z2BWwnX/ZcqCMLDgiC0CILQLgjC5+N8/tuCIJwXBOG0IAjvCIJQfr3ndKDDS994kAdXFfDI+hL8MzIryzI43u3l1x6sYmpaIRoVOO7WmPDu0RCN1dmc7vWDoNA+NI2qqlwYnOTFA25DCYQiMi8edBOWFcNLGptmZhZI8fJczViIuIlNf1vqcVeChGBLIIEEErj5uLvQAoAiQ2YyjM5o27sHI2Q5kqjOTWFkGj65rpgddXk0dXjYVp4HisIH15VgEyVKs1J5Zkc1/d4Qbu803slp2kcnWVmShihYEFWJJNGCTZJoah8jGI4SRcFhtXJPbT5dngBN7Vq62X31+eyoyaEqL42oorLZlWmkH5gdJ2boUT6aoyU6R0fG62ATa3jHpo/FRgA9s91leIoXMtbjpYPpujyW7FpKNJB57HjFtq9krMVws3RywlueQAJXBp0sj62XAxAMR3lubyfn+wMUZyXTOernO0f62eTK4qenh/mtV05SmZ+CrETZ0zrKT88OEIhGKHamMDgxzd2uTH7z2+/TWJ7Lfx52U5huY2gySCgSJqqonOqdorE2CwSVL/3gHMVZdu5dkUc4qtDl9VPgtDHmD7PBlY6oShQ77TisEhYEGlwZNA9O8fyeLrrG/LzbPEpwNuW4ZXgKRVX5zLYy1pen0+6Z4oR7jHeaR9lc5eRvH7uLNUWZvNM8TFhWWFfmJCxHOdg5xov73KwtTcMiiFgQ+NSmIlqHpzgz4OV9t5evvtXC/3v3Apl2C05bEhXZqVTmOWhqHaPAacWiikSIIiLw7UP9nO7z8uJ+N8GITL8nxN88ehd3l2VRX5yG1SKxtiSTP/34Sn7r/jruq88zGirYrBLrStPp8AS0qKpZHXQxVVqI+33q311s7bvYwtix7+f7bSSQwK2C6/prFQTBAvwz8EFgJfCLgiCsjNntBNCgqupdwHeAr1zPOUkWkbtKHYz7Q7QPB+gaCyCKAlbRgncqgk0Syc+w0uBKxx+K8srhXqrz7XR5glp7SYuFp3dU8OsP1PKr91RRl59mGKovH+rlic2l3Lsij111uQCXpJmZQxr1beb3sZ/NJ3Cu9LOruW8JJJBAAncaUm/2BEx4fzCKBZgCJmYgazYS6RfWl/OZbS5SU1Nw2uD7Z4aIRlXqi510ef0M+kL8+OQALcNT7KjNpWcyyIBvmj/6yAoe3exiTYmTTa4skiwC1iR4ZodWvy+qKHR5plhZ4ATAYbPwzA4XG8qdvHjQjRxVcNitPLmtjD2tHkKyTHQ2VUAP14/tvKZ12hHY7MoCBINw0hGra+IZ3rGRR7HH6IVoY9MI4iE2pS32PIsRJfHSFeJFNsXbb7GxliuWg1Npud+jK8Xtel0JXAqdTH/r/CDP7enkzKAmC1cWp3KwY5zCLBtF2TZ6vEGGJwOMTYf4h7da2VKZza6afMJRhf0XhslLs+KdjKAqCgVOG95ImBSbxC9uLSddSqJt0M+7F4YpyU6mqdVLNAprSpx8druL4IzCN/d20T0aoDwnlRyHjaNdXt46P4iiaLI0okY51jWJoioIFoE/+Wg9f/ThFexrG0VWFD6yroCRqRDvtY7ylTfaKHM6CCoyHSNTvLjfzbFuHw2udEqzUrFYVNaUpHNhYBJ/UOFYzxiHOr34QzInen18+2AvFdmpJAkWavPTKc5MITfDRpJV5FTvFJ/dXsGH7ipkZ10uB9q9RFSVId8MNQWpfHZ7OSsKnNTkp7GuNIvaIgc5qXbsVomNFZmzRbednOqd4nDXRceGHuV6pn+Kp7aWGwWyzbLcXLvW/P3pDSHM9fd03Kzo0AQSuBG43r/mTUC7qqqdqqqGgVeBj5l3UFV1t6qq07NvDwHXte2NHFU43evnFze7qMpJY3QyxOObXHx2h4vHt5Szp3mMPS0jfH13F+9cGKLEmcprh/sRUFlfngbAyd5JQBMGHaMBo/BnfaH2eWzYoo7YlsSx+bGx9Rj0c8yHBJOdQAIJJHB94YzveLxpiM7+jwC5mUnU5aXwZvswPz0zRCQaISczjf/36buZnJYRERjxh7hvdT6PbSxnZVEabSNTvHGil0yHFUkU2N8+xtm+Cb59qJ/SzBSsFi365lCnl21V2Tyzo5KtVVrR67Cs6bWTvZPU5qUZesaZYuPB+nzO9vtprNY6rukkkpnM8Qe1Okl6RzarJM5JF5sP8UgduJj6bdalR7vHWVOcNod4Wqy49Hwd0szRRPGgjzffeWLrLy02n+VAzCwVN5s8uhWItsvF7XpdCVyEuR4OYHR3rspzoERVoiqc6Z3idx+qQVDhB8f7KMxMRlDgbx5dz8hEiB+c7OeQewQ5GmU6Aq+fGqAyL5XXT/azsjCTD91VwIgvxD+9d4Efnx3kU3cXc//KPL7+bicbXU5ahiboHw/yzvlRfni6n8babH7jwVreOjtMYYYdEYl8ZzIrC9NZU5JOsiQRUSKsKEhHjaqc7p1CEkUKMuz8+PQgX/juWZ7eUcHA+Ay//YFq7MkCbYMB/vaxdVTlpvGzM0N8c18XpZkpXBiY4ss/aaHD4yeqRvmFzaU0VDjp9EzxoXWFdHmnCMkRyrNTybBb+fQ2F09sdHF3SQ5rS9M4Ppv2bE0SKMtMoTInlSJnCvvbvPhCYd5rHaJ9NMBGVwado9rSsqHcyatH+glGIrMd5y4W9zZnh2ytyp5DHsWmIseT7/ox5np+CSRwJ+B6WwDFQK/pfd/stvnwWeCn13NCclThwtAka8vT2d82QqHTxt2udP7hrQ6CYYXvn+yloSILmyRyf30eO+uyWFvm5MltZXzn+CAgsK403QjLf2pbOQc6xnhhfzdrS9N55Ugf9YWphtHc1D5mdJfRayDZZtnweDUWrpcBGa8eQwIJJJBAAgvj7lUZN3sKAKSbXm+rSibHDneVZnNXaSZEVe5fkYdksTAVmKFtMEBpdgo1eelYRIHWIb+RWl1flMbKkky8k2EOtI3zYH0Bq4uduHLsNLV7qMq3c6DDSzAS4XDXOAc6xnhxv5vJmRBtw1rXm+01OdxXnzdHT927Is8gg8zbdeN8fWkGx9w+o05SvHQxM2K9uTpi9aXZqJcsImuK03jlSN+cgqWL6dXYOcfqynipaObIpXhzi4U5ummxCOIbjcuxDZaDHXEldtJymPdiWOy6boVrSGBh6I7lpvYx/KEwLYN+Woan8IeiDE3OIKgqZwcmaGrz0DE2RXWBg9bhKTo90xy64GEqGKY4J5kfnhhGQeErn1rLqC/A6X4vA95pTvV7+IsfnqMiO4XDF8YoyEzmjXPDyDI01mbRNuLnWO84OelWjnR7+fkNJazMz+LNsyN84WMrSUlOQkHmZJeHk31e/vZnbXxwbT67z3sIRWUGJkL0e4N8Y28nYUXm9RO92JMtfGN3B9kpybzvHmdLZRaritP53vu9vNcyTIrdwkm3j3daBvnkpmL+6CMrKMq08Z1jvRzv9vGve9wc6xxlT8swHUNTfHNvF/91rBuvP0z7oJ8DnWOE5SgvH+zlWPcY77V4ONM3QVm2g9dPDlBfmMbvPlTDj04O8/sfrONXdrpwpthYMVtrymaVeGpbOVaLheaBCdpH/WwodwKXymXz96Q7D8xyPvb5NKeoJZDAnYRl84sXBOEJoAHYNc/nzwLPApSVlV3xeSSLSE1eGv9xuJcoKgIC/31sgF+7v5JjXV5kVFKSRQSLgEWw8MrhPp7cWobDZuWZ7Vqb4kOdXhrKnext9bCzNgeLKLKiMA1HspUnt5RxonfCIIj0gpxmb6hOJsW2BTbP8VpCN3SBuF7WBBJIIIEE4qMyMxOYuNnTYNL0um0wTEVWMs1DE0QjMl2eCC9Pd5GZYgUU2kYnWVGQjns0wO9/cAXP7+niv97vZkN5NqIgUJGbyoqCdPZ3ePjDD9VxqncKiyxQkJ7M37/ZRlFGCjX5qdy7Jp9QRCYkR+gcCfJUo1aiUNchOkmzv81DVFEAwdB5DeVODnV62V6TYxTMNhNMuuGuj2HWS6GwzAtN3Ty+qQRnqu2SexGrw8yRPWf6p3hyS9klBv1S9Z5OSM3n1DF/rhf0jtXf86XCzafzbybize1a7Hu9cbnk0XKZ92JYiDy6Va4hgfgw14Y7N6C1hX9ss+ZT/73/Osuf/9xKbJLI4Q4fLzZ10D8ZZMw3TUaqHX8EXjneRXJSEk9vq6Iqw8EPzwzwrYNd5DlT2FCZyfRMlIHxIB7vFJOCRHaGnfGpEJ/ZVkWHZ4pQROFkzxgjEzN8dHURH76ngImQzD/8rJWSrBS+d7Qfi0XEletgIqxiQWBzRTbfPz5ABJmu4QD1hQ6+sacVhy2JX9xSRv2mMkRB5NzAJN870cNkMIw/HKV7zE/3SIBNNZkc6Rjj0Y3lfOdoD1/5SSs7a3OIyBCcCXGwbYaiLBv1pVnU5DkQVKjISeXRTWV89e12ip02dlTnsMGVwQZXBt85OkBEiXCqdxxXTirZjmRQRc73+6nIsXPCPTXbiCEbq6TpF31Ndl99Pjtrcw19FFUULKIYV47r0B0d832eQAJ3KgRVVa/f4IKwFfhTVVUfmn3/BwCqqv5VzH4PAF8FdqmqOrLYuA0NDeqxY8eueF6eqWn+/IfN7KrNIxhW6PcFUFDo9QYpctqpL3Bit4psrcriSNc4UUXrzLKtSiOC3m0eYWVxKv/wVgd/+tGV2KySETpvLuwJcxWGjoMdY0Yk0o1CPCM9gQRuZSylIO2dCEEQjquq2nCz53E5EAThYeAf0Ur6PK+q6l/HfL4T+AfgLuAxVVW/s9iYV6snzKj4/I+vyThXAjtapzURyLULBEMqZXnJnB2eQQCyUgQkVKZDsK4yg/KcNJItFkRBYHAiyP31uXyzqZOe4Wk+uq6UgSk/gaDMY5sr2FSZSUlmmhFRE4poUT97WsZ47XgPX/7kar57fJCZiJaivb0mm1eO9PH4phJsSRLP7+sy6iWZdZzekQ1gV51msDe1jxm1AXV9ub40gxcPuKkvTGNXXR5wUXf6AiFeOdK3YGpAvEX1UtK/Y8eI3Xcx2bLQ57rDJtZZs5zl1eXMzWzTLNfriYdbbb7xcC2v4VbUE9cD11JPLARdVq0vzeBE7wSuXBtneqd489wQf/7x1YRkmaNdPt44O8j/2FHBl753itQUK3ZrEhmSlR+eGcCZCjtWFHC8y0daskR9YTr9k376x2b4hU1lvHq4m77xCBHgc9vLaB2b5ufvLuGFvZ1EVIWJQJiirGQK0lI52T/BRpeTd84MkZps4ZldtexvH2VbdTb/fqCXAmcSD68potcTQlai1OZlcGF4gj0XhrFJ8JG1JfzXsR62r8jn7pJsgpEIK4rSONrlZdgX4kinB0uSxEfXFfHjE33cVZpFZX4qahReP9XPdCjETFTrDvffJ/oocCSRm5GCKIjcU5uHVRJ5t3WYhnInB9o8dI9Ns6Iwgz/8cB1Ou423zw9jEUXCcpS2oSlWFGnRti3DU6wsTOe++nyDPNLvebyUZ/15MusRc4292G23ugxJIIHLwUJ64no/CUeBGkEQXIIgWIHHgNdjJrce+AbwyFLIo6uFHFU42+/n4dWFbKpy8vLhTjJTk7CIFj6wsohf2VVJ95gf0LqwbXJl0jI8yenecZ7b04E/FOZUn5e/e7Od33ywCofdaoRI6lFHurAxG1qxIZA2qzRviP71uObYTjgJJHArI1Er4vbBEpst9ABPAa/c2Nlp2HRdK/MtjIIciYosiYJUCMkqCnB2eIZkoCjNQq5VJddp58MNRbiyMxj0TTM0EcSCyj11Oawvz6TYmcIHVhWxsjiNQEjlQ2uLaRny87c/a8UfDCNHFXZfGOXlw71IoshDq/P5x8fW0jUa4tGNRawtdWIRBU72TvKB1bm8dLDHqPunG9SHOr0c6vQaHttddbkGeXSo0wtcJFcOdXpZX5qBw27lmR0ugzwyP9POVNu85NFijSbipZzFO36hWkTzHat/frmy52akJS117MtZFC1WU2q54nZY+N0O13CnQk9dO9E7QX1hKn/3Zjv1xQ7Ks7U2Dc4UG6FohEA4wu++eoKwIGCTJLZW5DISDNLgykDBQllGKpP+EOP+EAOTAcb9MrYkgTfODFKYmUx+uoWtlQ72do3R7PbwO/95EldBCn/80VUUZds55Z5iaGqatCSBQd8MqiBSlpfK+gonQ5NBLKJIgVMCQWDfhVEmZ7RunWFZoSo/lRSrSE5aKvs6Rhj2hTnRNcbBzhG+8pNz/NI3DvGPb7RyYWQSf1jmnspsDneMUZxu42TvOLubhznY6SFJiDIeVKgusvP9E31srsziYxvKuG9FPoWZVna3DPFe6zDP7HDxxulhPP4ZGmty+e2HargwqNU1uqcuF7vVQmNNFlKSiFWysLUqi1/dVWVEGR3uulg2JF79OX1dFK8+HcyNbDU3WkgggQSuM4GkqqoM/BrwM6AZeE1V1XOCIHxJEIRHZnf7G8AB/JcgCCcFQXh9nuGuCSSLVrTzwVUF5KTa2VCexXff7yc33YrDJmGTJFRgTamDqAIOm5WntpXzzE4XksWCJIqsLcniDz9UR9doyBAmelqaThy92zzMnpZR43NzkU49bD9e1f7rdc2JsOfli4RCunwkftO3FZbSbKFbVdXTwE15WJKTrTfjtAC4PTJur8xkCKYi4FehwAYzQGaqBV80CVGBqkwHw1NBJoMyv/5gDaVZaexp8fDln7QQnInQ1DFM+6if+sI0hidmUFSFHdX5yIpCU7uHlqFJPrI2n8Nd4zS1e3AkW1lfmsF33x/i7vJ0rJLIisIUvvj98wRmIkgW0WiBrJNG5oLYuuF9tFuridFYrTlOtlRmsaUyixO9E8hRxWiXbK45oWM+8mi+QtWxRa3j7R9bM8lcj3Cxcy22XUe8VPF4+15PIuZ6jr3c5G9Ch966EAShVBCE3YIgnBcE4ZwgCL8xuz1LEIS3BEFom/2fObtdEATh/wmC0C4IwmlBEO42jfWZ2f3bBEH4zM26pvmgPzc2SSLbkcR3jw7wxNZSTvRO4PFPs/uch+21uZTmpJCbaifbYWN32zAH2sZ5YquLZIvA9467yUmzUZabwtjUDMOTITJTrKTYJPxBhZoCJ7tqCvFMzFCcl0pJlpXRyQi/+58n6R6ewJokIEkWfm5jOY2uHFItKr5phS//9Dx9ngAn+j14pmZo6fPhDQQ50ObhXPco/7q/jTfPDWIRBGRVpm0oQKoNMlKTONXjxTsD6yod5GQkIaBitah882AX77eO8vp5D3ZJkxUNFVl4/VG2VmVzzu3nUw2lnHaP88LeVt48P0jv2DSiILC+JIuXD/byZ59YxdM7qthQnsnr7w8RDMvsbR3lQMcY60rTaR4M8Mx2F5tcTl4+1It/RmvUsPvCCGf6fIQi8pxi2MZ3ENPdM159OvO2+RotJJDAnYrr/iSoqvoTVVVrVVWtUlX1L2e3fUFV1ddnXz+gqmq+qqrrZv8eWXjEq4PZG+qfCZOTZuOvPrmGd86Psqo4FckiEolE+cpP2jjZ48U3rYXRy4rCs7sqAbBKIs4Um2Hs6mPqhmgoLHN+cJKoosxhs3WEwjI2qxS3TsP1Qmx4fwLLA7eiJ3e5IKHIbxtcbrOFG457al03/Jx687dkoCRDwh+FkgwBCxCIws4qB95AlKe2lpOdbuO193vJSLXwyYYSvnesn5cOdfLZnS7KslKpyc9gTUkmlXmpjE2Hqcix0zcepG1kkpcO9rC2NJ3q/FT+7s02gpEI/lCUpnYPNqvEow1FnO3XonJzHCl8+ZOrWVfmnFMHScfR7nF8gZDRZcisF/XGEke7xy8hi2JTvHVjPx5xMx95MZ+XOHb/WG+z7viJh/kIpoXmEKvvzdvjRTpdLyLmepM8y0X+3ko6dD4S8Q6HDPyOqqorgS3A52YjUD8PvKOqag3wzux70CJVa2b/ngW+BhrhBHwR2IzmlPiiTjotB+jyyTcd4kCHl77xaWaiCpIoUpNv55t73UxGZthzYZhIWMU75WdfywAtbi8R4M9fP02aXaKhOg/3WAi3x4+qKOSkJtHjDdDc5yOqKkTkCD863UtJpoWOoQDeqTCZDguoKg67lWQJwrLMfx5y88rhLlxFGXyovoCRiRD+GZU9J0fo985wd1kmzQN+LMgMT4NdErCKFj7WUAqCQmWOjekwFGQmk2xNoioD2gdCFDmT6R6ZREqykp4MyQ6J2mwLVquF7lE/BzvH2FSbg9Nu5bO7qmgd9ZNsFRgLKOSk2SjNdlCUmcLpAR+/dn8lb50d5Z7aPB6oL+DZXZXsmK1HdL5/kiNdWhq0zSpx3O2jIjuFV4/2s640Hatkoa7QwcneSdYUp9HUHl83xMN8tZCWi8xLIIHlgDvyaYgqKr7pEH/+w2acKRb2t3n54sfqaRsOIkcVLJLAtqpsBBFO9U7xibsL+Mobbfhnwrx0qIeG8ovGs7kdp26QHnP7WFmYwc7aXIPl1vf1B8O80NSNPxg2PLA6rrchcSsZWncKlpsnN4EEbmUIgvCsIAjHBEE4Njo6es3GddhufL8JvTphEOid0HTM6JTKukI7RU6JrrEQn95cwWQoSmVuOgVOK/vOjwAC9UXpbK7M5oU93ahEWVXo5ANr8mlq93D/Ci30X7LAZ3dU8PjmEs72+2mocFKRlcrqknTevjBIMBwlFJZ57dgADeVOIx3tO8cGaO6fIhSW2dMyyvP7u/AHw0iWix3Q1pdqneuiinJJIerYVIFQWDY6lZqJpVgyKDZyKBbmKKhYUigeAaT/X6zr1XwE03xziI2iWuw88bZdKx19O+uVxdIYlxvi2V8JmwxUVR1UVfX92ddTaNkKxWhRqN+a3e1bwMdnX38MeEnVcAhwCoJQCDwEvKWqqldV1XHgLeDhG3cliyMYlvnrn7ZSW5hCWWYq4ajM/3unnS+9foG3z/XT2j/O0Y5xTvb4iAoCEyGVTKeV4lRITbbSMxIiO9mCIIIqK4wFwoxMhQlNR5maAbuk0D02zdnBEKf7ZshKtWIVwDMp0+DKYmQqzExE5UTHFC3D04SjUWRF4Xun3FwYDmFRIWoReWJjKWf7fchR8E4pWEUQLJBkVXjzVB/726fo8gSZliE4pfLRtUU40hx8/K5CRJIIKwIrCtJxptlBVZmJCpRl2dlam4skQDgSZU/bKMO+EL/+QA07a4v4t89uIjvFyqAvyPrSTP7owysoSEuhNt8BYKSbHXP72FmbyzM7XVhEgWNun7ZuE0Xuqcvlme0unKk2GquzeXBlIQ3lTk72TgJacwfgkojUBBJI4PKxvDXudYPK0S4f0+EI/3mkj4fX5PHG6RHqC7UIJAsibu80q4ucNFZnU5Dh4AsfqceZYuPxTSU47Fo6g24wn+idMEgl3Yi9rz7PiC4yG9AOu5WnGytw2K0LhtlfDi6nzsGtYGjdaUh8Hwnc4egHSk3vS2a3XTZUVX1OVdUGVVUbcnNzr8nkAKoLHNdsrMtBbaaIBBQ54P/bWk6WDdpGg6SlWOn1yfzkzADTssyK/HRsUhJ1JelEVRWLYMFhlbh3ZQ6iKtA9GiAcURifirC+PJNUazIPrSxCEkVePdqPPxThtSMDlGXb+K+jfWj1rwVsVsnQV7oeW1mYQW2hdj921eXy1NZyTvRO4AuE5nRAa2of42IclQa9DmBs1G5U0d7r5NB8KXELpZvp+5idNvq5Yl8vxQutfzZfpNFCuBpSYCFbIF5U1p2IhdIYr2bM64l45GLCJpsLQRAqgPXAYSBfVdXB2Y+GgPzZ1/NFrC7rSFbJIvLgqgI+/8Favn98kHA0ypleH+cGfDx7jwtXXhqyKvL3j68nMy2JswMhbCLkpKeyypWpFbNW4bmmXsJRCIVhOADRGZWAAlGgeSjMdFBGBNKSwB8Ko4gCxzu9hGZk0pOT2FCahSpAigjpdisj4wFGp8KoaOnRY0GFt84NMTilYLXAlpocstMkUi0qPz7l5ZjbjwCEwgpR4EcXRnnzbD+dg36+dqCX413jlGUkkZ2azAZXNmXZKWSm2pCjMDYZJivVxtEOD2XZqbjyUvjndzvo8kzxyqFeKnPSsQgCDa4MjnZNzOoQjFpG5ufdZpXYVZfH9pocIzX6RO/EJZGlJ3on2FKZxa66XGNNFq8eUgIJJHB5uOO0lmQRaazOYWtVFh9bX8LXnrybkoxUqnJTeeVwH3JU4ekdFditFnbMCiZgtvvaMC8d7MEfDANa6P7Lh3oNEskciRSvLoO+zUwsmed1JYbEUgTgUo3lBBJIIIGbgEWbLdxs1OWlU3EDOCQrkJ4ESUA60D+hkJUMkpTE6WEvEUFkTVkGdQWZbCxLxmqVGPCFiCoqM9EIPSPT/NveDjzTQVQBNrqysCUn8YlNRRzp9lFbnMp3jw5QlW/HPhv2/9jGYh5eU8gnGgrp8YRYXeTkzx5ZaURdmdOsJYvIJpeT9uEAz+/vQo4qOOxarSQ98sisYxqrL+2OZoauK3fV5RneYTPM0T+LpZvFQo9uMqfE6ZFOCxE08eYYu89COjeeLr+chcrlpujdibjWxMuNXEjGnidhk2kQBMEB/Dfwm6qqTpo/U7V20desZfT1ilRdCpwpNly5KdikJB7fUsFf/vwavrm3C6sNZFnhYMc4X/nUOkrSkogCh9vH2XN2HFGEX9hcSr5DQADGItp4PgUcVi3VOS0ZEKEiXWQ8DFNBGPSr5KYL7G31EAxH2N3mJaRCSIF+T4jRKZmsFJHcpNl7A3T4NELJKsFpt4fJgEzP2AwiEEb7IjIdFsockCzAeCCIomp6KyMFTvXPcP/KPIJBmeb+KapyHbQOTZKfkYwkgTM1mcocB+k2K1/4SD2PrCvmTx9ZyYOrcinPSeFY1yRvNw+xoVzL5AAVOaoYGSC6DIdLo0nNr3Vngl5nLzbFOEHgJpDAleOOe2rkqFYw9IV9XZzvn+S/jw3S1D7GjpocavIcHO7yYku66HXVj9EUvkB5VooRMglQX5iGw2ZlY0WmUeMh9nyXYzheLpYSgp9g2BNIIIHliqU0WxAEYaMgCH3Ap4BvCIJw7kbO0WG38ks76q7b+CJgB2wWUCOaET8JSCLY7Emo4QhTQRWrqDIRivC+e4wxP3xodQGSIHBh2Efr4DSfbnTxS1sr+eH7fVwYnuDbB3soy0ylezTEs7tcjE7OMDEzwx995yyrilOJKvDywV580yH+/s12ZqIKG11OHMlWI/rHXI9Ijiqc6Z/iqcZyVhZeJIscditPbilDsohGcwiLKMypk6QX0zZHGJnJpUOd3jnkSLzaRXoEkjkSZz7SJ16h1Hjj6liqrlzKomOpNZOWery+7XYt5Hol9sm1vAc3aiGZWLDGhyAISWjk0bdVVf3u7Obh2dQ0Zv/rXZrni1hdciTr9YpUXQg66eEPhekamUYUtHqqJ7om8AaC/Oy0l6kZONMzxJd/egF/MEJykkbW5DugLieZfz/Uy8S0SgTISYYkAdKA6RkozhS1lLMQ9Exq0UFTs49V77iKRYWMFIkkEYMImlQgKMOwT2F6lpCqzZVIs2oRTSNBmJyBCRmGgxfjSR0idI9H6fHD1vp0QrLAg+vy+O37q3nwrmJqClP53ok+fnZ2iPvq85kMy9xV4sRqsTDoC7KmzMn60iwsgogkinSOaJ3VjrsnkLBwT10Of/bIKpypNi0rRBSNaFjJIvLSoR4jTRouym49HXo+gjbe85d4FhNI4Mpwxz05egTS6pJM1pQ4WVOcbnSHsUoWoorK7gujHHP7CIVlQyDtvjBKWI7SMeqnodxpeEMbq3OMcMr1pRlxay9cb4NhKSH4CSSQQALLFUtotnBUVdUSVVVTVVXNVlV11Y2e47oK53UbW0GrdTQZBUsylGVKbCq1U5iZTLHThqvIyYN1uWSnpZCebMHjC5GXYWNocoYtrlxqC9OR1AgD40EUVCZCMqIKchS6PX6y0yS++L1ztPZrIf6PbirFabexyeUkioIj2crvPVyDVbLwzX3d/Mu77TS1e/BMTbOnZZQ9LSNG+tnGikxsSRJW6WIre72mn2QRDSJJJzp08kgvdgoXi2HLUWUOuRRLKunH6+8PdXoNnbxYNJEO/TzmOS1Uv2gpuvpKnT1Xi/nmfitjuTi5btR9vd2+v6uFIAgC8E2gWVXVvzN99Dqgd1L7DPAD0/YnZ7uxbQEmZlPdfgZ8QBCEzNni2R+Y3XbToTmux1hfmsH+Ni9PbCvll3e6CMsKrx5z4w9FWZdvAeBoXwiLHEZVQQ5rFcZ7/HB6ZAYBCMw+JpMzkC5peiMnFTrHFTyhec4PeGXo9sjMxDxmwaimdwKz71tGZabDFxeHk7M+cQlIFyBVgGnTGNOBCIM+mX0XRvlZyxAgYBFUBnxBrEkWLBaQBIG1ZZnUFTqQRAveqQgNrnQsosiRLh81+Q6OuyfYUJ7B2rJMQ87pdfF0ua1HEj3dWIHNKl3STfOY2zenedFSa9clkEACl48bXxl0GcBmldhZm2MYlrpRu6sul1BY5vl9XTzVWE5T+xgWUWBdaTovNrmpzk9FFDUO/lCnly2VWXMM4hO9E/N2bInFfIVA4+Fy9p0PBzvGEp6vBBJIIIErRLbDisA1zKMwwSaArGqGvihD+7hMxqTMVBSE0RnSrXCi28fqsnT6Rv1kpVlpH5kkEAyzOzLCxkongajI2HSIk+5xGmtyWFfmRFQtjIdm+N+vnWKDK5Pq3EJyUu1sqXLS1D5GWI4iRAXkqELbcJBPbynmlYN91BY6WFuazl/95AIP1Bdy74qLXnq9i2lDuZOj3eNG4exHG4oArV5F89Akz2x3GY6W9aUZnOidmNNQYmNFJoc6vUQV1Uh1i60JuL40g5cO9RieZ7gYiaO/XiiaSD/fnpYRdtXlLRipGy/1/Frqy2s93u2CRFTOHY9G4JeAM4IgnJzd9ofAXwOvCYLwWcANPDr72U+ADwHtwDTwPwBUVfUKgvDnaCnRAF9SVdV7Q65gEchRheahSeoKU/ind1s50ZNLTX4q3aMBVhal0T3m52xPlNkgIP7/9u48vq3rOvD47wIPIEiCBLhTXERS3EQtthZK1GbJlmPHsV3LThzHSR3bdVy3mbTNdDqZSZpMJmmabpnpNGk7XcZ1bdf1OGmSTt0sdhxvsWTtkazFEiVKJEVR1MJ9BUEAd/7AezAIcZVIkQTO9/Phh8Aj8PAuPsA7j+fee+7p9mF6g4SHARGeGjYSs89hYNjc2NQX83rjHIc/6nYa0DeFx0Xvs0eHOzsKXdAxDEUeB79/7818+YfvkZHqINnhxKZgcDhAZWE6y7WXXzb1sLU6n7WlXr63r5V7VhZSW5bOkZZ+1peFC1yvKvZysLmb3We6WFfm4RenrvB+Wy82FE9tW4LLaURGne5v6rpqQQYI/183WVwQQsychPx2WdPYomsqRF/c2WwKwxa+XVvixe1ysrLIy4dq8vnNbeUT1jCKrhdhvVbs7en0uM1E75ycTIUQ4vp4XU6qsuyzsu9M5wcX/Z1ByEtWVBalYACLvAaVi9ygQAdHGAyEyE5LQgU1pQXJZCQ7MGx2Pr1uMUeae+geGqEqx4NDOTjS2slP3mvj4Q0l2G2KV95r5dD5dp579xxD/iAoTVVBuLjT6mIPJ9sGKc9LxWk3MGw2Pry8gFsqsyKxEogUt7ZG3R5s7uah2gJe2tdKIBiiriyDJ7eUYdhtkULZ0YtGRMfKVcXp2M1OmdgVTaMXnbB6nqNHEE1l5K3VSXSirW/cGHojVseKnmIxl+Z6lM945NokcWmtd2qtldb6Jq31KvPnJ1rrDq317VrrSq31h6xkkLn62ufM0aortdYHovb1jNa6wvz5x7lr1WiG3cYjdcW4DDurS9M529HL371Zz4mLvZy93EdbRx9dwx88vjcA0RXhRoBMF8xk9BkveTQRBazMN2j1gU9Dx+AI39/fCgq6hwIs8qSwYlEmG6tz2Huqg9+7q4rtS/O4uTid7+67gG8kQG1ZOoea+/jpsQvsPtNFbUk4ebS80M3Pjrfx7M5mQPH4ppJI8sgadRq98AKMPVV4vL8JIWZWQn7DfP4Axy/00j/sH9Uj6vMHONTSE7lgBSL1jqwK/taFbPTqMOOtBBJ9ERp7QTqdofIzkfyRk6kQQlw7b6qLbzy4dsb2Z3U1pAK9Ix/cdwK9fs3wYIDyvGQ2lOXgD2iKM130DIGy2SjMTGFpoZeDp3vZXp3Lz49e4Pm9TRTluPifD6+irXsIX3CEtq5hVhZ5SbEbnDzfxz1rikg1nJRluXEaimBIc7y1j6ffaeSN+ousKk6nuWOQIX+QZ99tZn2Zl72NXTyzqzFSc8KajvF2/WXePdPJ8Qu9GDYbVXnuSKFT30g4UWJNJ4APppJZt/uH/Ly47zy1JV5cTiMyImm8RSeit1nHMZWpCi6nwZO3lEV6scd63FTrJF0ra4rFdIqAz7T5MlVMiETi8wd4u/4yT7/dyBd/8B5vnmjnwpVuRkJwqLGTXWd7aei8+jsZO3Sq0xcZkHTDucwfBfSac+hyk6Cm2AO2EAODI9ix09YzQGNnL5/ZvIS7VxTQfGWIFJeDzRVZVOSkcuhcNy+820JQB/nyPUtxGuHz69GWHo639vPle5eyvNDDpvJMjrb2RWJG9BTn2E56IcTcSLisQiAY4kBzN7nuJP74J/WRObZWj6jVWwrhKW0blmReVRzb5w9ELnQnu4CN7XUFRq0CMNFxRu9HzDy5kBZCTIe1MpnFeQ37MAivmGNFlLQk6DeXYbYB1XnJ+IJQWuRh2B/k8sAgmelJrFyciT8QoDw3lbOXhnA6bGyvySEv08VdNxdyz6oiqrI8fOfnpznd0cepC32UZKeyoigNp2EjI81BujOJRzcv5nz3IDcVp2FXNuzAvavz+Zf9rQRCIZ7YXIbTUKA1LodBXVkGywu8GHYbO0+384tTVwBNXVkm22tyeXTjYg4290QKnT5UW8ALe1rw+QP4A5pndzfTP+S/qkPlUEsPj25YHIm304lz0avpRCd6xjunW8mj6dTFGKtDaKzjmKqxCnrfSLM9ElniqRCjWcmP5YVuSnOTKfC4qatMp60vRM9AgBE9s6OKZkpsXEtPDk9dS3FAe3+I2tJUqorSuNg5hFJQU5DBQ2sXc/dNi7CFbPzwwAWWF2aQ7LTz+KYSTrQNUFfuZU1JJo9sKqapfcjcs8aw21hZ7OHm4nTcSU7OtIerMY01YlX+FxJi/ki4b6Nht7Gi0M3+5k62VmWP+lv3gI/9TV30D/l540R4wQdrmP7ze85FLoKtug3W/jaWZ024pG/0basncqITofQUzj55j4UQ01WQnkxlZviSXzF2rYjJhAjXr1i7yI4DaB8OFyZdU+jE44QTl4ZIApKVQWF2Cq0dQ9yc56G9z8fq0gyu9Pj58Ip8FqW7aOvz88rRixg2G8l2G0VZyRxu6iQrxYnDYeP+tQUcP99LiCAlmWmcvhReHbsy180Lu1oYCQUIEuJ02yDfemglx1r7CYRCJDsNnrxlCQCHWnoiNYpWFafjNOysLfFGRucebunFHwiyuSIcB4+19lOem4Jht5HstPNIXTGHWnqA0f8URHfWwOjaRhOxpptH78vaPtE5/XoSKIFgiLfrr4w5zW0609Jm+x+gqawgN5P7i36cxFMhRjPsNlYWpvGH/36Sl/ac4xcnW6k/349NgUPDcCg8sme+iY5rBek2lIYlOU48qQarytL4gx03MzyicKc4SLLZqSvP4kLvIDZt8OS2MlYUenC7DNaWePGmulhd7OGlfa1c6BnE7XTyYO0iXtrfSjAUfo/Wlnj5s1dO4xsJ8PjGkki8sEjiSIj5J+G+ldYF7n+7t4bbl+bx7O5mugd8vHb8In/445PULErl3TMdvHK8LXJhaC1RbJ3UNizJZFt1zqgL12d2NdE/NPm/E9F1l8b7+42qWZTIF3tSF0oIMV3eVBd/9dgG0ozwKKKxjNejbD3eOusevxQkSHgk0oCGC93hldNuW56BzQb7Gttp7+4nJ83BX73VyKHmTo639tA5MMyb9a28crSNtq5BjrV0MTQywnvne3DZndy7uog1pV6KvW7+678c5fsHznG0pYdli9LxB4L8464mVhan0dIzRCBgQ4fg2IVuDJsNfyDIC3taItPK9pztZHWxB8Nu4+36K7ywt4VVxekcbuklGApFkkrvt/VGYlttiZdkhyOSEPKmuq7qNImNg9aoJGDUMszR26370SvvRJvKOX28BS0mYxXBjR0ZPNfT0qLNVt2myfZ3I69ZhFhoDJuNwoxkvrJjOUEN59qH6fZDZygcCwYm3cPcUIDbDh9ZWkCXH5aXeNlUmsPl3gAnWwd4aN1iPr62mCAhXtzTzMDwCK+fuIRhs7G9Jo+1JR5e2NtC/5Afl9Pg8U0l3L0ivNDC9w+08UhdMdtrwgsbeFNd/P7d1Rxt7ZvzkZpCiKlJyG9oMKRxu5y4nAZVuWkcbO7Badj5yj1L8aa42F6Txx/ct3xU76g72cm60gyASDFRi8tpRBJMU+kBHG/I/UQXxzNNegylV0MIMX3BkKYvAGnjdB0HAY+6env0OJU0G6Sapx9rUtzFgRBOJwz7NSkOyEpWnL0SwFAO6srTqMxLo3/Qz+AwHG8ZwDeisekQv7a1Ao8rmYxUg/or3TjsNt6ub+fU5V4cNs3nti3l5sUZ1JV7aevzcfZKP0db+tlenReug6Q0wUCIf9zVxPqyDB7fVBKpPREMafY2hqdwb6vO4cktZbhdTrZUZrO5IjxaaF9jN+e7BgFYV5px1Wo4VrLI5w+Mim/RRa53nm6PJI6s0b2x2639TfTPxbWMsJlKHHQ5DZ7cUnZV/Y359M/ObNRtmmx/N/KaRYiFJhAM8fqJyxxs6uC7+88x4A/iWyCX3OkOKMgweKPhMskKXDYnJ670sbE8B2ULcuZSPz8+chFDGWyrzuGmogyKM5OBcLsPNndTmpnK3sYu3q6/HPk/y7DbqFmUhtvlHHXO8Ka6rhpVKoSYvxKyGpm16otht7G9JnfUxenO0+1sqcwelTyy/m4tH2nVMooWvcrMZGKH3MfO9b3WIfbTeZ70GAohxPQt9qaypTyds5f7cftC9BMuKHrZXEUnywHdUWsup5q/o3ua+0JgD0FOCvQPQ7UHWvqhZwAykxxkpTk51uYnMxUGhkcoykrhnVPt3F6VDw7NiQtdjAyPYDcc/Pz4Rb66Yznffq2Hw+e6WF+aw+fvqOR02yAVuSk0tg9ytK0btI3f+3AV39t7no3lGexr7GLIH+JS7zCbK7N451Q7u892YFd2Tl7sZXmBh7UlHnaf6eSZXU08tTU8pW33mQ5WF3s40NzNlspsttfksqk8M7LqGhCpHWjFGCuxFB1zon9HT12Lnh5uLVYROxV8uiaKj1ONgwuheOtMx/PJ9ifXEUKMz+cPcOpSP76gZm/9BTp9c31EU7Mq38WRiz68I4oHaot5aW8zBW4nb/f5KcxIorndx4oiL09uK8NlhM+L75zuoGaRh72NXZFzeLLTFpn+bDHsNrZV506p7pwQYv5KyG9r7Apquxo6Rq3+Es3qBQUiI5CAKY/emegx463+Ml3XOppITtZCCDE9LqfBvStLGAmCOxUy7OHkUTLhIf9DgfAoJGsqW7Lzg+SRxwFbylJJAbxOSE8xGAzCmW64bVkOd67M5d2z7Vzp9eNUYBgO8rOdHGzqJi/dTn1HN6fbeunt93NlMMS9NxfgSXXyndfr6ej3YwuFWJKTzHdebaB/2M+7DV20dfuoK8vijfqLfG9/Cy3dg/gCAew2RbLTzlfvrSE7JZm7ludzW3UeW6uyeWJzKZsrsszi2Iql+emRkURW8ig60eNyGletlBM9wsia5jXRyCHDbgv/w3W5j0AwhM8fuGqa21i/Y2/HGi8+Ro+IulYykleuI4QYi7VQwF035TI0NMhZs6yP91pWXriBlnghpBRFHjv3rSji3dOXqch1c6p9kG994mZePnyB+9cuwmnYMGw23j3TSbdvmBNtPTgNG3VlGdhtsLUqm23VuZHi19EdAXLOEGLhS6hvsZUMspJFPn+AXQ3hlVysmg9bKrPHPLlZK69ZyaTYUUhjXYxO5eJyJk6k0gsohBA3hmG3saU6A3SIzgFIckGaI1wYO8UAvwavC0q94ToSg+ZopEc3FPCh5XkcaR4gKQlKclJo7w6wKE3hsoFT2TnS0kWSobhj1SKK8lyM+EbYfaqHT9YWU7skjwFfEE+qg+0ri/hYbTEfWZmPUlCUkcqnNyzh4bpytlXngIJkh8GWimy+tmMZhZkp/Ld7a3jqlnI+vKyA7+2/wNoSL3YbuJOcbK7IItnhwDcSYFdDOweau83WajaVZ7G1KpsDzd2RwtfhKWxZo96T1cWeUSvlRP+eaNq29dv6h+uRumIMu439TV2sLEwbNf0t9vdkK6FGv3606GRYbA2j8TqSJltpdT5I5ESWEPOJYbdRnJXE7/zTAc50ffC97L6WlRdmmTW2MgkoyvWwpiSX9RU5vHCgkZKsVIYDIX7jtiUcbOrhya1leF1OjrX08H/eaeR7B87xhe++x0gwxKbyTFxOA7ttdMJICBF/EurbbQ2Vt4bLh1dTC1FXlhGpXzTWCW/DkkwOtfREelfhg2SUdWG5v6nrqkKhN/LiUk7UQghxYxRlpPHcU5uoLkwlOz2ZYo+TNGe453ZJThLFniSGA5CXAoMa0uzwxvsX+fmRS/SFYHAYDrUO0h+EQo8Dmx32NXdSkJWEYRjcvbyAju5hnMkOPEmK99q6udTrw2XTtHUPo9D8+tYlHD3fS0+/n0vdw9xUksaexnYONPZye00elYtS+ac9TUC4g+S9lj4Ot/Rya3U2S/PTcDkMQLGrIZx8GRoZ4fnd5/AHQmxYkmm2VEUlk8A3EogkKXY1tEdWJvP5Azyzq3HUQhJWbIyOq9HJnuhVzHafCXfkrCvN4GhreASSdTt6+pvLaVw1HW6qcTY6yRS9ClxscmusjqDoWkyxSZr5EntlNNTskfdUTJfPH+CH+y9gswfn+lAmtNjrIEA4efSR5flU5nhZXpBOdoqLu1cXkelOZlmhh1eOXOLh9YV8ZEUh+xq7qSpw88m6IgaH/fzxx2/i8x+qwp3sjPyfNV/Oi0KI2ZFw33DrgjMQDF8kOw175KLU2h7dK7r7TEfkAtWqgbDzdDu7GjoIhkYX9nQ5jRm5uJSLFSGEmL8CwRDnO4Yp8qSwujST7IwUtIYst4N8bwr3rSkh25tGWY4brwFZqRAMhvABWQYsK06iMiuJEQ29w5qQBgIjOAwnhRlJfPNH71NdkMZtS/N54tYqnIZBdmoS3X5YVuDh5IU+DjT2sHFJFn/+yVXctTKPV45c5nfvrMRug1OX+/ibN8/ya7eUYths7G0Mr9RWW+LFsNsiPcR1ZRmA5t0zHZxs7eNTdUU4jfDkuz1nO6kry6C2xAvAikI3X//347xx4jL9Pj/h8VUanz+cVAqF4N0znZH7O0+388aJy1clXqITNtZt67cVi/c3dV0Vd634bI0gjl0RbSJjjYIaa1rdWKOVYjue5jJJM90p8VN97kweR7yRxJy4VnfdnMeQXzPGmgpzzgDuqPHicdmpyrJTnuOgsbuP5o4BzlzpQ6NIMwwqctx09A8zEtS81xJO7r/f1kPDxQG8riQ+vbGcIq97VI04SR4JEf/mf1XIGWZdeD69s5Ent5SxYUlm5KK0tsQb6W3dsCTzqjoOcHXBz+hh+rFFsa/1+K53H0IIIWaPYbextSqboZERTrb18ysrM1FK0dTWTfPlXvp9QdxJipaOIZKdinO9mrWLkykzHNS39XGoZZhNS9zsWLmY8wMDvH3yEg/VlXGlz8fFPh+Fmam0941gs8Hlbj/bl+bQdHmQJ7aU8dqxNu6vLcZuUzz9diNaKcpzU3iwdhFHWvqw2xSf3VaOLxBe9+3Znc2U5Lp482Q7I8Egqc4kQNPv83O0tY+bi9MxbDZ+eqwNw/ZBzAmGQrxzuoP6S70MjwRZmp9OgTeVm4rdvLCnhUc2FIf3v7uZmvx0Ht9cwsHmHnY1tLOtOpcNSzLZ1dARGc1kTf/eUpkdqW9kJYuikzZTWdnM5w/w/J5zPLG5dMrFraczOjg2Bkc/bq5i81SuDSZKHs3UdUWiXaPMt2mKYv7rH/Lzt2+d4dVjrVzo03N9OGMKAL9s6iYtyUFpbjrFWSm0dA7hsCmq8tOwKxv1F3txJ9u5a3kht1ZnR6Yo/+a2ciB8rr5jeZ58N4RIQAn1rbcufABq8tOBcC/rroZ2/IEgexvDRUCtFWSs3snYHqjYgnCWqVxoTNaLJRcrQggx/xl2G8kOBzYF68q91OR6KC/KIC3Fxa/cVMCQH8rzPXxqczkuGzRf8VGSk8LSRW6qcgwudg1zeXiInsEAf/lILf9+uJWjF3rxJjs5db6bs5f7Odc5QHlOKi7DQVFWCvuaOvCmukhPcrCxPBOtFP5ggBf3NfPcrmYOn+vCHwziCwR45p0mnt91jj6/H5fdwYYlGfyivgN/IEQwBM/vbqYsx8U3f3ySfv8Idy5bZCaQtDk6KRO7DR5eX0hbl4+TF3uoyU/nUHMfpdnJHGzu4XBLL49vLKGuLANvqovNFVnYbVfXQIodxWMlj6JH/8a+t+O959YqqdNJHo1Xv2i81xgvBs/kcvXXsujFtV4bzOR1xVijtOKdXI+JqQoEQ+xt7EQFQpzuGJ7rwxlXZW4S25cvYltNLtWL0rGjaLkyQL43iWSnHadhx+mws3FJFm6XMaq+nctpjBoZKoRIPAn1zY8eEr+tOidyMbqtOpetVTnYbSoyjD6293GiC8rY1xjPVIdCywlZCCHmN8NuY1N5JiEN/+tnpyjLT+WWsnxauwapXZJBbWkGpRkp7G5o59e3lpGX4UIFHQwNa1JcyRRmp5Bk2NBAodfFU7dW8I0HVtA9GCDdk0JZTirdvcMoW4jjF3r4Rf0VOnp93FqTg9NuYNhs3Fzs4Vc3LmZdSSYfW1eETSmOX+jlH95p5kBzB3fdnEf9xX4qF6VysKmH37urkrtW5nPb0hyW5ns4er6XoUCAb71yiqAO8u6ZToKh8LS0vY1dHDvfg9vp5Gv3L2P14kw2lHvDq+3YjVHT257fcw6fP4DLaURWOQ0EQ9ht6qr3LHbKd2wR66m878C0kkeTxd3Yld3Gi/UzNZVpLlZOnenrCpnWJcTY2geGeGZX01wfRkRRevi7/xu3lFKd66TYY+P+ZYtpaR/EsBl8ekMJyQ4nGW4nq4ozua06jzuW5/Gb28rxprqkppEQ4ioJd0aIPglao5GspFH0hW/0tLXY51mmexEoo4uEECJ+uJwGqxdnsL4km5317aQkK1YvzuAn712iIsfDurJsfvtDlfzLgXP0+AJcHhhgRVEmO1YW4fNpfmVVIaD56zfPcKqtl798/TQXOnvo7x/h1qo88jPdbCzP4qYiL5srckDZOHd5kCF/gHfPdOAPaL79WgPDI0H+8udnqMxLY/kiD7+6sYj8tBROX+znTx5cQfMVH5vLs2m4NBRJ9GyvyeWOZYv4Hx9bxdfvW86tVbmEQ1O4cPbaEg9ahesauRwGwZDml8292GyK9WVe9jZ28vQ7jext7OTRDYtHJYSsVUut6Wuxq5ROpXNmpkylNlDsym6T7ed6EycL/VpgoR+/ELPF5w+w88wlBub6QEwpCtp6Q5R7FYMBP8ERTVm2h53NV/jqjuV0Dvh5v3WAz91WztOPreeemwojo41klJEQYjwJVwMJPhiGvrrYEzkxWjUZVhd7ONTSE/ltDbMfy7VcRCXSiXgmh/sLIcR8Y9htrC/z8vV/f598j4vmy4O4HAa+4Ahv1F/klsosvvP6OW6pyWN1YRaGQ/PmySvY7SH8WvM3rzcwFAjx48Ot/Pb2pQzrEO29w9y3ppAMVxJlmakcaekjGILz3QOsK8ukJt9LY0c/1XlpbKnMpLYsnRf3nGdNSTYbyr288G4LyU47/+kjlfzFq6dBK+w2G+e6BtlancXze87xUG0B3hRX5J+Et+uvYLcp6soyR8W7lYUe7DaFbyTAmSsDPLKhmK1V4VoYdWWZgGJzxehC17HTm6zaR7EdNNHvYbToDpzootfTjSXRz5noudFxfLJ4Pp1ah5Md80KPjQv9+IWYaYFgiJ8ea+Pnhzvm+lAi7rgpF8Nu40hzN3YcbFu2iNXFmWwozyA7LYVv7EgdNT1NCCGmIuHOGNbFX/+QPzLs3uo1tZJGKwvTIkmk6OH106mjkOhk5RIhRCLwprr4xo4VfP72Kp66dQlfva8Gp82gvXcQt8vgvuWFnLsygOHQuOwObq/Ox2U4KfIm8/u/UsMfPrCce1cX4klx4rI7+ERdMZc6hwHF47eUsLUqBwClFZ/dVsGHV+Tx5JYygjrE8++e40hLH1X5bm6tzuaXzb1UL0pjbYmXM5eGyPMk03BlALsNli1Kx5vi4qNr8vmTn57ijROX6B/y4/MHsNsUq4rTOdTSY66wFo5t22vy2FyRxdHWPh7ZUMzR1r5IEmVvY3iVtvFioDXtwap9ZI1QslZls8Te3nm6fdRooIliyXjbJhpNFLttqokmy1RrHUr8EyKx+PwB/vntkwzN8XEUu6Eyy06qHYaGg2xekstnb6uiriyLurIcPrQsj+y0FADcyU75P0YIMW0JNwIp+uIvugintc1aFcYaeRQ9ZH28XseZGGkTb6N1ZIi7ECJRWKN4Drd0UZ2XzspCLzYbLCv08D9ePcBjdaWcax8iFBxgebGHz9xSQiAU4lBzL0dburnY4+OkvRu7TbFhSRbNHec5eaGb+kt9fGZLCe9f7KKlZxBfIMDhll5qS7ycvTLIo5sWA/DMO41sqcjm5MVeKnPdHGzupq4sk/5hP9uqcjBstkgcO9k2yFfuWYphs/HMziZQmk/VhZNDNYtS+cMfn+TOZflsr8kdVbMoEAxFzuk+f4DjF3oZ8odwu4zIqqWBYCgymslajGKiaV/jxdXY+DFe3I19rpWAAiLT52JHMkU/51pHE00W1yT+CZF4WnsHOdwemNNjMICeYSgv8LCpKpU1izNwJznYXJE9rUS5EEJMJOESSDB2Ec7obbEXftbF41QvYqcrXpfFjae2CCHEeAy7jbqyDN5r7qLhSh+Pbyoh2WmnNDONF59az/utA3yszMvOhnaCQXju3RYCwQBKK0a0prPfT0mmm0AQfniwjcc2lmDYbDy7q4l+/wgEFVsrc3lpXyvVeWkEQiGWF3gA2NfYRUvXEIYt3CkCcKC5m36/n+8dOI8/EKK1y8eyAk+kxpHbFe51fmrbEnwjAY629rG62IM72clX7lmKy2GMSrr4/AGe33MuUuvIsNt4dONiXtjbwiN1xexq6GBbdU6kcLaVUIpN1KwrzRhVkDU2rlojlmJjx1ixZKyYbD3fYiWTrH2O9XpTHU0k09WFEBN5adfZOXnd25d7OHymhzxPMkMjQR7dUMEDaxeNOo/L+UgIMZMSMoE0megLZ6s3dbxVCGaip1F6K4UQYmFzJzv5D7dXAOFzurXSZ3ZqMqcuX2R9WXjUUGVuGtV5abzf2sWyonS2VGSz83QGq0rS+P7+Czy0roATbQOsK82gIjeNP/tJPSMhzbJCD9V5afgDIV7Y28LD6wp5cd95PrW+iE3mqmY7T7cTDGnqyjI41NLDNz+6nJcPXaQiL5WtVR8kVqL/qTja1Deq5t/hll6ASCLGSsJ8an0RB5q78QeC2G2KzRXZPLmlDIDjF3pYW+LhaGtfpNaRtf/omoPWiKRoY3XWTMZ63Fg1laL3abVhotFDN2o0UbyNMhZCfKD+Ujf/uK/thr7m6sIUMtOSuWdZARWZ/fzalsUYNlukvp0QQswWOcNMwm5T1JZ4Z70YppzshRBiYbNG51grfFrbHt9YgjfVxaMbF3Pb0hxurc7Gbhg47QYuh4HTUPzwYBtlOSkcaemPTKHeUpnFncsLqMxxs6Uyi43lmbR0DfFIXTHeFBePbljM0da+yGjaVcXp2G0qkrBp6Rjm0Y2LSXY4ANjV0MGes534/OFpFtbj3MlONppJqNoSL1sqsyNTzqwaRt5UF7UlXuw2G/6AZs/ZzkgSZ2l+GodbeiMLU8TWL/L5A+xt7GRd6fg1k6ZaN2ii+kix963ju14zkTySmkhCxK+n/mrXDXutz21ZzJbyNAoy3HzzgRXct6qI372jinyPm+y0FPl/Qggx6+QsMwHDbmPDkkwONHfLhZ8QQohJxY5YCQRD4eLUQ35e2NvCroYODLuNVcVeNpVnRopVP7G5lGSHg5MXewDoH/Lz4r7z3FqdzVPbyjnY3MPhll4e2VCM2+Vk95mOUfWJ3q6/wgt7W1hR6GbP2U4ONHezsjANl8PAblPm0WlqS7zsOds5ampa/5A/Utvo+T3n6Pf5efqdRt44cSkycsbnD3CopYe6sgySnfbISCPr+DcsyeRQS/jYrfZbxwdwoq0v8h6NtyDFRCN9rISRVaPQ2n90Umq+juadr8clhLh+7X2DNI/M/ut8dlMxr/7uZn73I8v520c28Kcfu5l8jxvDbht3tWghhJgNCXnGmWwo+XRXZRFCCCEs4xWEfnJLWSTxsbkiiz1nO4HwKB93spOtVdmsL/MCcKilh0c3LMad7IzUFlpVnM7R1j42lmeNWvBhf1MXmyuyItPIakvC+3h2dzM1+elsrrCSF+qq43x0w2IONHdH6hZZi0s8vqmEvY1d7GroYHNF1qjFJazHRu9nvCSJ9bfHN5WMWoltrOll44muQxSbnIsu1G3tbzrTxW7U1DK5lhAiPm3+5puztu/cVBt//vAa8r0uSjPTIucRd7Jz1l5TCCEmk3BXNGMtIxz799gh8OPVP5rPZMSUEELML9YUN+u2NT3MsNvoH/Kzq6GD53ef4xen2iPJGvhgNKxV7NraZk07sxIo1t8PtfTgcho8uaWMbdU5Uckezd7GrsgKZdZUu2AoFBmV5HIa+PwB3MlONldkRabEWa9lJW3GG0U03mprh1p6Rv0tNhZPNM0rOjkVnTyK3j6V/Yx1XDK1TAhxPYZneH8G8Bubi9nzpW28/Du3sKUyj4ocz4L7P0QIEb/kbBRjvJVdFhK5KBZCiPlhsvNx9NSxtSUenthcitP4YOUyq16Ry2mwrjSDA83dvF1/JVLc2tqHFbusekY+f2BUwio86ik7khCypn8daO5mc8XoRNYzu5roH/JHklzRiZuJpmON19bYBNB4K62NtQJq9N/Heh0reWS9V9OZLiZTy4QQ1+PZd87M2L4+sTqbt75wCzu/tI0v3L2CfI+bfI97xvYvhBAzJeGumqYyomihX0zKRbEQQswP452Po5MgLqcxqiC2VU/IWrnMqv9jJXS2VedMuNy9zx/gD350gv4h/6i/RyeEoh8fvaLZoZYePrW+KDJiaKw4Ml5smSj2xHbKjBWLx0sSTfY6VjLMeq+mE/skTgohrtXXfnzyup6/Y6WX73ziJn7w2Tr+9BN1lGalR+oaCSHEfJWQNZAS4cScCG0UQoiFYLyESnQSxBo5FFtPyCpCbdUAmsq53Z3s5Kv31oxZJyM2YRObUPrgdZ3XFEdmKnkzWUdIbK2j6Kl8Qggx29r7Bq/peWvy4YF1NdyxIldGGAkhFqSETCAJIYQQc228EUTRt63f002OTLXI6njHMNXi1rOZsJlssYvYpJokj4RIbEqpu4BvA3bgaa31n8zWa9VOo3h2eTJ85s5l3Lkij+y0lNk6JCGEuCEkgcSNW4VFCCGEuBYzEaMminXTjYNjJXBuJJmqLYSIppSyA38N3AGcB/YrpV7WWr8/06/V1NE76WNW5cL965byYG2xrJomhIgrCZ9AmupFsCSZhBBCLFTWqmdj1U66lmTQfEjgSEwWQkRZDzRorc8CKKVeAnYAM55AuvVb74y5fWOJja99dCPVed6ZfkkhhJg3Ej6BNJWL4LnuaRVCCCFmy7UmgyQeCiHmkUKgJer+eaBuNl7orS/cEkki1RbA05+5HW+qazZeSggh5p2ETyDB5BfB86GnVQghhLhWk61AKvFNCJEIlFJPAU8BLF68+Jr2UZqVzltfuIXSrPSZPDQhhFgQ5IpxiuTiWgghxEImcUwIEcdageKo+0XmtlG01n+vta7VWtfm5ORc84tJ8kgIkajkalIIIYQQQgixkO0HKpVSZUopJ/Aw8PIcH5MQQsQdmcImhBBCCCGEWLC01gGl1G8BrwJ24Bmt9fE5PiwhhIg7MgJJCCHEnFJK3aWUqldKNSilvjjG35OUUt81/75XKVU6B4cphBBiHtNa/0RrXaW1Ltdaf3Ouj0cIIeKRJJCEEELMGaWUHfhr4CPAMuCTSqllMQ/7DNClta4A/hfwpzf2KIUQQgghhBCznkCSnmUhhBATWA80aK3Paq39wEvAjpjH7ACeM29/H7hdKaVu4DEKIYQQQgiR8GY1gSQ9y0IIISZRCLRE3T9vbhvzMVrrANADZN2QoxNCCCGEEEIAsz8CSXqWhRBC3BBKqaeUUgeUUgeuXLky14cjhBBCCCFEXJntBJL0LAshhJhIK1Acdb/I3DbmY5RSBuABOmJ3pLX+e611rda6NicnZ5YOVwghhBBCiMS0YIpoS8+yEELEpf1ApVKqTCnlBB4GXo55zMvAY+btB4E3tNb6Bh6jEEIIIYQQCc+Y5f1Pp2f5/GQ9y8DfAyilriilmqd5LNlA+zSfs5AlWntB2pwIEq29MP02l8zWgcwGrXVAKfVbwKuAHXhGa31cKfUHwAGt9cvAPwD/pJRqADoJJ5kmdPDgwXaJE5NKtPaCtDkRJFp7Ic7jxGy5hjghn63EIG2Of4nWXpjBOKFmsxPXTAidAm4nnCjaD3xKa3086jGfA1ZqrX9TKfUw8FGt9UOzcCwHtNa1M73f+SrR2gvS5kSQaO2FxGzzXEm09zrR2gvS5kSQaO2FxGzzXEjE91nanBgSrc2J1l6Y2TbP6gik2epZFkIIIYQQQgghhBA3zmxPYUNr/RPgJzHbvhp12wd8fLaPQwghhBBCCCGEEEJcmwVTRHsG/P1cH8ANlmjtBWlzIki09kJitnmuJNp7nWjtBWlzIki09kJitnkuJOL7LG1ODInW5kRrL8xgm2e1BpIQQgghhBBCCCGEWPgSaQSSEEIIIYQQQgghhLgGcZ9AUkrdpZSqV0o1KKW+ONfHcz2UUs8opS4rpY5FbctUSr2mlDpt/s4wtyul1HfMdh9RSq2Jes5j5uNPK6Uem4u2TIVSqlgp9aZS6n2l1HGl1OfN7fHcZpdSap9S6j2zzV83t5cppfaabfuuUsppbk8y7zeYfy+N2teXzO31SqkPz1GTpkQpZVdKHVJK/ci8H+/tbVJKHVVKHVZKHTC3xe3ner6TOLFwP1sSJyROxHF7JU7MIxInFu5nS+KExIk4bu/cxAmtddz+EF757QywBHAC7wHL5vq4rqM9W4E1wLGobX8GfNG8/UXgT83bdwM/BRSwAdhrbs8Ezpq/M8zbGXPdtnHauwhYY95OA04By+K8zQpwm7cdwF6zLd8DHja3/y3wWfP2fwD+1rz9MPBd8/Yy8/OeBJSZ3wP7XLdvgnb/J+BF4Efm/XhvbxOQHbMtbj/X8/lH4sTC/mxJnJA4EcftlTgxT34kTizsz5bECYkTcdzeOYkT8T4CaT3QoLU+q7X2Ay8BO+b4mK6Z1voXQGfM5h3Ac+bt54D7o7Y/r8P2AF6l1CLgw8BrWutOrXUX8Bpw16wf/DXQWrdprX9p3u4DTgCFxHebtda637zrMH80sB34vrk9ts3We/F94HallDK3v6S1HtZaNwINhL8P845Sqgi4B3javK+I4/ZOIG4/1/OcxIkF/NmSOCFxwnxIXLV3AnH7uZ7nJE4s4M+WxAmJE+ZD4qq9E5j1z3W8J5AKgZao++fNbfEkT2vdZt6+COSZt8dr+4J8T8yhhasJZ9Djus3m8MvDwGXCX+IzQLfWOmA+JPr4I20z/94DZLGw2vwXwH8BQub9LOK7vRAO4j9TSh1USj1lbovrz/U8lgjvY0J8tiROxPV58y+QOAFx/rmexxLhfUyIz5bEibg+b/4FEifgBnyujes9ajF/aK21UkrP9XHMNKWUG/gB8B+11r3hBHFYPLZZax0EVimlvMC/Akvn9ohmj1LqXuCy1vqgUurWOT6cG2mL1rpVKZULvKaUOhn9x3j8XIv5IV4/WxInJE7EIYkTYk7E62dL4oTEiTg0J3Ei3kcgtQLFUfeLzG3x5JI5/Azz92Vz+3htX1DviVLKQfhk/89a6x+am+O6zRatdTfwJrCR8DBDK+EbffyRtpl/9wAdLJw2bwbuU0o1ER4Svh34NvHbXgC01q3m78uEg/p6EuRzPQ8lwvsY158tiRMSJ4iv9gISJ+aZRHgf4/qzJXFC4gTx1V5g7uJEvCeQ9gOVKlyB3Um4SNbLc3xMM+1l4DHz9mPAv0Vtf9SsuL4B6DGHs70K3KmUylDhqux3mtvmHXMu6j8AJ7TWfx71p3huc47ZU4BSKhm4g/Bc7TeBB82HxbbZei8eBN7QWmtz+8MqvMpAGVAJ7LshjZgGrfWXtNZFWutSwt/PN7TWv0qcthdAKZWqlEqzbhP+PB4jjj/X85zEiQX82ZI4IXHCfFjctBckTsxDEicW8GdL4oTECfNhcdNemOM4oedBBfHZ/CFccfwU4XmfX57r47nOtvxfoA0YITw/8TOE52u+DpwGfg5kmo9VwF+b7T4K1Ebt5wnCRcEagF+b63ZN0N4thOd2HgEOmz93x3mbbwIOmW0+BnzV3L6E8AmsAfgXIMnc7jLvN5h/XxK1ry+b70U98JG5btsU2n4rH6yaELftNdv2nvlz3DovxfPner7/SJxYuJ8tiRMSJ+KxvRIn5t+PxImF+9mSOCFxIh7bO5dxQplPEkIIIYQQQgghhBBiTPE+hU0IIYQQQgghhBBCXCdJIAkhhBBCCCGEEEKICUkCSQghhBBCCCGEEEJMSBJIQgghhBBCCCGEEGJCkkASQgghhBBCCCGEEBOSBJIQQgghhBBCCCGEmJAkkMSCoJS6XymllVJLZ3CfX1ZKHVdKHVFKHVZK1Znbm5RS2TP1OtM8plVmO++ai9cXQoiFSuKEEEKIiUicEOL6SQJJLBSfBHaav0dRShnT3ZlSaiNwL7BGa30T8CGg5XoPcgaM204AFSbfWyGEuJrECSROCCHEBCROIHFCXB/54Ih5TynlBrYAnwEeNrfdqpR6Ryn1MvC+UsqulPqWUmq/2QPwG9ZzlVKvK6V+qZQ6qpTaYe52EdCutR4G0Fq3a60vRL3sb0c9Z6m5r/VKqd1KqUNKqXeVUtXm9seVUv+mlHpLKXVaKfXfo479EaXUPrNH4u+UUvYJ2qmAjwOPA3copVzm9lKlVL1S6nngGFCslPpCVFu/HrWP/6eUOmj2hDx1HW+7EEIsGBInJE4IIcREJE5InBAzQxJIYiHYAbyitT4FdCil1prb1wCf11pXEQ4GPVrrdcA64NeVUmWAD3hAa70GuA34n+aJ9WeET5ynlFL/Wym1LeY1283n/A3wn81tJ4FbtNarga8CfxT1+PXAx4CbgI8rpWqVUjXAJ4DNWutVQBD41QnauQlo1FqfAd4C7on6WyXwv7XWy4Fq8/56YBWwVim11XzcE1rrtUAt8DtKqawJXk8IIeKFxAmJE0IIMRGJExInxAyY9lA9IebAJ4Fvm7dfMu//CNintW40t98J3KSUetC87yF8UjwP/JF5QgwBhUCe1vqiGThuIRwIvquU+qLW+lnz+T80fx8EPhq1z+eUUpWABhxRx/ia1roDQCn1Q8I9HAFgLbA/HGNIBi5P0s6Xotr5KPAD836z1npPVFvvBA6Z991mW39B+CT/gLm92NzeMcFrCiFEPJA4IXFCCCEmInFC4oSYAZJAEvOaUioT2A6sVEppwE74ZPtjYCD6ocBva61fjXn+40AOsFZrPaKUagJcAFrrIOHM/FtKqaPAY8Cz5lOHzd9BPviefAN4U2v9gFKq1HyuRcccujaP6Tmt9Zem0E474R6HHUqpL5vPzVJKpZkPiW3rH2ut/y5mH7cSnnu9UWs9qJR6y2qrEELEK4kTEieEEGIiEickToiZI1PYxHz3IPBPWusSrXWp1roYaCSc6Y/2KvBZpZQDQClVpZRKJZzlv2ye7G8DSsy/V5uZf8sqoHmSY/EArebtx2P+dodSKlMplQzcD+wCXgceVErlmq+ZqZQqGWfftwNHtNbFZjtLCPcWPDDGY18FnlDhudwopQrN1/AAXebJfimwYZL2CCFEPJA4cTWJE0II8QGJE1eTOCGuiSSQxHz3SeBfY7b9gKtXFXgaeB/4pVLqGPB3hDP9/wzUmj0CjxKedwzhYZrPKaXeV0odAZYBX5vkWP4M+GOl1CGuHr23zzyuI8APtNYHtNbvA18Bfma+xmuEi+1dTzvRWv8MeBHYbbbr+0Aa8ApgKKVOAH8C7Il9rhBCxCGJEzEkTgghxCgSJ2JInBDXSmkdO1JOCDEd5rDWWq31b831sQghhJh/JE4IIYSYiMQJsVDICCQhhBBCCCGEEEIIMSEZgSTEDaaU2gskxWz+tNb66FwcjxBCiPlF4oQQQoiJSJwQc0USSEIIIYQQQgghhBBiQjKFTQghhBBCCCGEEEJMSBJIQgghhBBCCCGEEGJCkkASQgghhBBCCCGEEBOSBJIQQgghhBBCCCGEmJAkkIQQQgghhBBCCCHEhP4/UhjGcuYRC0sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(1,3,figsize=(20,5))\n",
    "axs = axs.ravel()\n",
    "cols_to_plot = ['Eccentricity','FormFactor','ConvexArea']\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "df_to_plot=seg_df[seg_df['AreaShape_Area']<5000]\n",
    "\n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    axs[i].scatter(df_to_plot['AreaShape_Area'], df_to_plot[col], s=0.01)\n",
    "    axs[i].set_xlabel('AreaShape_Area')\n",
    "    axs[i].set_ylabel(col)\n",
    "    axs[i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5e128c27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(1,3,figsize=(20,5))\n",
    "axs = axs.ravel()\n",
    "cols_to_plot = ['Eccentricity','FormFactor','ConvexArea']\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "df_to_plot=seg_df[seg_df['AreaShape_Area']<1000]\n",
    "\n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    axs[i].scatter(df_to_plot['AreaShape_Area'], df_to_plot[col], s=0.01)\n",
    "    axs[i].set_xlabel('AreaShape_Area')\n",
    "    axs[i].set_ylabel(col)\n",
    "    axs[i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45d6dae7",
   "metadata": {},
   "source": [
    "## Assign labels from Segmentation Labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ce7fcbda",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "      <th>MP_UMAP1</th>\n",
       "      <th>MP_UMAP2</th>\n",
       "      <th>True_Label</th>\n",
       "      <th>InfectedCells</th>\n",
       "      <th>Seg_Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "      <td>8.274383</td>\n",
       "      <td>-0.655967</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "      <td>13.875708</td>\n",
       "      <td>11.552190</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "      <td>6.743976</td>\n",
       "      <td>19.614027</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "      <td>10.193657</td>\n",
       "      <td>8.133395</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</td>\n",
       "      <td>7.693904</td>\n",
       "      <td>17.100174</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "      <td>-4.482765</td>\n",
       "      <td>7.153024</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "      <td>10.204902</td>\n",
       "      <td>5.165628</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "      <td>10.297348</td>\n",
       "      <td>1.767311</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "      <td>8.326226</td>\n",
       "      <td>4.388920</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "      <td>7.098932</td>\n",
       "      <td>3.543230</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-5  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.000442   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.006315   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.000317   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.062781   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.000070   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.000016   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.009312   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.003363   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.000244   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.012467   \n",
       "\n",
       "        intensity_mean-6     Delta  embedding1  embedding2   MP_UMAP1  \\\n",
       "0               0.002411  0.007052    8.919654    8.924275   8.274383   \n",
       "1               0.000928  0.009323   10.795541    8.218206  13.875708   \n",
       "2               0.014562  0.009024   11.490246   10.536827   6.743976   \n",
       "3               0.061092  0.025526   12.307695    3.216018  10.193657   \n",
       "4               0.001225  0.071709    9.866774    1.810647   7.693904   \n",
       "...                  ...       ...         ...         ...        ...   \n",
       "133695          0.000670  0.002336   11.176550   12.540327  -4.482765   \n",
       "133696          0.031562  0.001021   11.251929    2.987429  10.204902   \n",
       "133697          0.064340  0.027823    9.917559    4.129629  10.297348   \n",
       "133698          0.010320  0.001827   10.905128   11.772167   8.326226   \n",
       "133699          0.004988  0.119821    6.712374   -2.731318   7.098932   \n",
       "\n",
       "         MP_UMAP2  True_Label  InfectedCells  Seg_Label  \n",
       "0       -0.655967           0              0          0  \n",
       "1       11.552190           0              0          0  \n",
       "2       19.614027           0              0          0  \n",
       "3        8.133395           0              1          0  \n",
       "4       17.100174           0              1          0  \n",
       "...           ...         ...            ...        ...  \n",
       "133695   7.153024           0              0          0  \n",
       "133696   5.165628           0              0          0  \n",
       "133697   1.767311           0              0          0  \n",
       "133698   4.388920           0              0          0  \n",
       "133699   3.543230           0              1          0  \n",
       "\n",
       "[133700 rows x 29 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display segmentation labels\n",
    "seg_labels = {}\n",
    "seg_labels[13] = pd.read_csv('Coverslip1_GroundTruth_13.csv', sep=',', header=None)\n",
    "seg_labels[213] = pd.read_csv('Coverslip1_GroundTruth_213.csv', sep=',', header=None)\n",
    "image_num_labelled = [13,213]\n",
    "soma_df['Seg_Label'] = 0\n",
    "for image_num in image_num_labelled:\n",
    "    N_cells = seg_labels[image_num][1].values.shape[0]\n",
    "    labels = seg_labels[image_num][1].values.reshape((N_cells,))\n",
    "    idx = soma_df[soma_df.ImageNumber==image_num].index\n",
    "    print(len(idx) == len(labels))\n",
    "    soma_df.loc[idx,'Seg_Label'] = labels\n",
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1c69e187",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "        \n",
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(2,3,figsize=(20,10))\n",
    "cols_to_plot = ['Eccentricity','FormFactor','ConvexArea']\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "df_to_plot1=seg_df[seg_df['AreaShape_Area']<5000]\n",
    "df_to_plot2=seg_df[seg_df['AreaShape_Area']<1000]\n",
    "\n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    df1 = soma_df.loc[df_to_plot1.index]\n",
    "    idx1 = df1[df1['Seg_Label'] == 1].index # Seg Label is only in soma_df\n",
    "    axs[0][i].scatter(df_to_plot1.loc[idx1,'AreaShape_Area'], df_to_plot1.loc[idx1, col], s=5, color = 'r')\n",
    "    idx2 = df1[df1['Seg_Label'] == 0].index\n",
    "    axs[0][i].scatter(df_to_plot1.loc[idx2,'AreaShape_Area'], df_to_plot1.loc[idx2, col], s=0.01, color = 'b')\n",
    "    axs[0][i].set_xlabel('AreaShape_Area')\n",
    "    axs[0][i].set_ylabel(col)\n",
    "    axs[0][i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    \n",
    "    \n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    df2 = soma_df.loc[df_to_plot2.index]\n",
    "    idx1 = df2[df2['Seg_Label'] == 1].index\n",
    "    axs[1][i].scatter(df_to_plot2.loc[idx1,'AreaShape_Area'], df_to_plot2.loc[idx1, col], s=5, color = 'r')\n",
    "    idx2 = df2[df2['Seg_Label'] == 0].index\n",
    "    axs[1][i].scatter(df_to_plot2.loc[idx2,'AreaShape_Area'], df_to_plot2.loc[idx2, col], s=0.01, color = 'b')\n",
    "    axs[1][i].set_xlabel('AreaShape_Area')\n",
    "    axs[1][i].set_ylabel(col)\n",
    "    axs[1][i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e731f261",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "        \n",
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(2,3,figsize=(20,10))\n",
    "cols_to_plot = ['Eccentricity','FormFactor','ConvexArea']\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "df_to_plot1=seg_df[seg_df['AreaShape_Area']<5000]\n",
    "df_to_plot2=seg_df[seg_df['AreaShape_Area']<1000]\n",
    "\n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    df1 = soma_df.loc[df_to_plot1.index]\n",
    "    \n",
    "    # only display images that are labelled?\n",
    "    df1 = df1[(df1.ImageNumber == 13) | (df1.ImageNumber == 213)]\n",
    "    \n",
    "    idx1 = df1[df1['Seg_Label'] == 1].index # Seg Label is only in soma_df\n",
    "    axs[0][i].scatter(df_to_plot1.loc[idx1,'AreaShape_Area'], df_to_plot1.loc[idx1, col], s=3, color = 'r')\n",
    "    idx2 = df1[df1['Seg_Label'] == 0].index\n",
    "    axs[0][i].scatter(df_to_plot1.loc[idx2,'AreaShape_Area'], df_to_plot1.loc[idx2, col], s=3, color = 'b')\n",
    "    axs[0][i].set_xlabel('AreaShape_Area')\n",
    "    axs[0][i].set_ylabel(col)\n",
    "    axs[0][i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    \n",
    "    \n",
    "for i in range(len(cols_to_plot)):\n",
    "    col = 'AreaShape_'+cols_to_plot[i]\n",
    "    df2 = soma_df.loc[df_to_plot2.index]\n",
    "    \n",
    "    # only display images that are labelled?\n",
    "    df2 = df2[(df2.ImageNumber == 13) | (df2.ImageNumber == 213)]\n",
    "\n",
    "    idx1 = df2[df2['Seg_Label'] == 1].index\n",
    "    axs[1][i].scatter(df_to_plot2.loc[idx1,'AreaShape_Area'], df_to_plot2.loc[idx1, col], s=3, color = 'r')\n",
    "    idx2 = df2[df2['Seg_Label'] == 0].index\n",
    "    axs[1][i].scatter(df_to_plot2.loc[idx2,'AreaShape_Area'], df_to_plot2.loc[idx2, col], s=3, color = 'b')\n",
    "    axs[1][i].set_xlabel('AreaShape_Area')\n",
    "    axs[1][i].set_ylabel(col)\n",
    "    axs[1][i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e7caf050",
   "metadata": {},
   "outputs": [],
   "source": [
    "# MAD normalization after filtering columns\n",
    "def MAD(df_in, veto_list, eps): # seg_df,  ['ImageNumber', 'ObjectNumber',...,'Number', 'Parent'], 1e-15\n",
    "    # filter columns for veto (nonsense columns like object number, location, coordinates, etc)\n",
    "    L = df_in.columns.tolist()\n",
    "    removeL = []\n",
    "    for v in veto:\n",
    "        for l in L:\n",
    "            if l.startswith(v):\n",
    "                removeL.append(l)       \n",
    "    \n",
    "    for l in L:\n",
    "        if 'BoundingBoxMaximum' in l.split('_'):\n",
    "            print(l)\n",
    "            removeL.append(l)\n",
    "        if 'BoundingBoxMinimum' in l.split('_'):\n",
    "            print(l)\n",
    "            removeL.append(l)\n",
    "        \n",
    "    removeL.append('AreaShape_Center_X')\n",
    "    removeL.append('AreaShape_Center_Y')\n",
    "    print('removing ', removeL)\n",
    "    for x in removeL: L.remove(x)\n",
    "        \n",
    "        \n",
    "    # filter nan cols\n",
    "    df_in = df_in[L]\n",
    "    nan_cols = [i for i in df_in.columns if df_in[i].isnull().any()]\n",
    "    print(nan_cols)\n",
    "    print(\"NAN columns\", len(nan_cols))\n",
    "    df_in = df_in[df_in.columns[~df_in.columns.isin(nan_cols)]]\n",
    "    \n",
    "    # calculate MAD\n",
    "    MAD = stats.median_abs_deviation(df_in, nan_policy='omit')\n",
    "    df_in_scaled = df_in - np.median(df_in, axis=0)\n",
    "    df_in_scaled = np.divide(df_in_scaled, MAD+eps)\n",
    "    \n",
    "    return df_in_scaled\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "50398feb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ImageNumber', 'ObjectNumber', 'FileName_Cyto', 'FileName_Nuclei',\n",
       "       'FileName_Soma', 'PathName_Cyto', 'PathName_Nuclei', 'PathName_Soma',\n",
       "       'AreaShape_Area', 'AreaShape_BoundingBoxArea',\n",
       "       'AreaShape_BoundingBoxMaximum_X', 'AreaShape_BoundingBoxMaximum_Y',\n",
       "       'AreaShape_BoundingBoxMinimum_X', 'AreaShape_BoundingBoxMinimum_Y',\n",
       "       'AreaShape_Center_X', 'AreaShape_Center_Y', 'AreaShape_Compactness',\n",
       "       'AreaShape_ConvexArea', 'AreaShape_Eccentricity',\n",
       "       'AreaShape_EquivalentDiameter', 'AreaShape_EulerNumber',\n",
       "       'AreaShape_Extent', 'AreaShape_FormFactor', 'AreaShape_MajorAxisLength',\n",
       "       'AreaShape_MaxFeretDiameter', 'AreaShape_MaximumRadius',\n",
       "       'AreaShape_MeanRadius', 'AreaShape_MedianRadius',\n",
       "       'AreaShape_MinFeretDiameter', 'AreaShape_MinorAxisLength',\n",
       "       'AreaShape_Orientation', 'AreaShape_Perimeter', 'AreaShape_Solidity',\n",
       "       'Location_Center_X', 'Location_Center_Y', 'Location_Center_Z',\n",
       "       'Number_Object_Number'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seg_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "00dad444",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n",
      "30\n",
      "113\n",
      "166\n",
      "180\n",
      "264\n"
     ]
    }
   ],
   "source": [
    "# inspect a few images that look much larger\n",
    "idx = soma_df[soma_df.ImageNumber == 13].index\n",
    "df = seg_df.loc[idx] # contains labels\n",
    "for cell in df[(df.AreaShape_Area > 2000)&(df.AreaShape_Area < 3000)]['ObjectNumber']:\n",
    "    print(cell)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "91560755",
   "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>ImageNumber</th>\n",
       "      <th>ObjectNumber</th>\n",
       "      <th>FileName_Cyto</th>\n",
       "      <th>FileName_Nuclei</th>\n",
       "      <th>FileName_Soma</th>\n",
       "      <th>PathName_Cyto</th>\n",
       "      <th>PathName_Nuclei</th>\n",
       "      <th>PathName_Soma</th>\n",
       "      <th>AreaShape_Area</th>\n",
       "      <th>AreaShape_BoundingBoxArea</th>\n",
       "      <th>...</th>\n",
       "      <th>AreaShape_MedianRadius</th>\n",
       "      <th>AreaShape_MinFeretDiameter</th>\n",
       "      <th>AreaShape_MinorAxisLength</th>\n",
       "      <th>AreaShape_Orientation</th>\n",
       "      <th>AreaShape_Perimeter</th>\n",
       "      <th>AreaShape_Solidity</th>\n",
       "      <th>Location_Center_X</th>\n",
       "      <th>Location_Center_Y</th>\n",
       "      <th>Location_Center_Z</th>\n",
       "      <th>Number_Object_Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>4666</td>\n",
       "      <td>9120</td>\n",
       "      <td>...</td>\n",
       "      <td>7.280110</td>\n",
       "      <td>73.173414</td>\n",
       "      <td>63.858926</td>\n",
       "      <td>-10.383178</td>\n",
       "      <td>511.209199</td>\n",
       "      <td>0.715425</td>\n",
       "      <td>1279.176811</td>\n",
       "      <td>82.330690</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>4553</td>\n",
       "      <td>7979</td>\n",
       "      <td>...</td>\n",
       "      <td>7.615773</td>\n",
       "      <td>69.349619</td>\n",
       "      <td>70.233086</td>\n",
       "      <td>-14.116441</td>\n",
       "      <td>441.203102</td>\n",
       "      <td>0.809854</td>\n",
       "      <td>1327.216561</td>\n",
       "      <td>105.901384</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>1</td>\n",
       "      <td>132</td>\n",
       "      <td>F000_max_clean_Cyto.tiff</td>\n",
       "      <td>F000_max_clean_Nuclei.tiff</td>\n",
       "      <td>F000_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>4907</td>\n",
       "      <td>8170</td>\n",
       "      <td>...</td>\n",
       "      <td>5.385165</td>\n",
       "      <td>84.844011</td>\n",
       "      <td>86.617992</td>\n",
       "      <td>21.256936</td>\n",
       "      <td>598.943218</td>\n",
       "      <td>0.718869</td>\n",
       "      <td>1343.771143</td>\n",
       "      <td>797.784593</td>\n",
       "      <td>0</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2</td>\n",
       "      <td>51</td>\n",
       "      <td>F001_max_clean_Cyto.tiff</td>\n",
       "      <td>F001_max_clean_Nuclei.tiff</td>\n",
       "      <td>F001_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>8193</td>\n",
       "      <td>13334</td>\n",
       "      <td>...</td>\n",
       "      <td>9.055385</td>\n",
       "      <td>91.479059</td>\n",
       "      <td>96.967061</td>\n",
       "      <td>48.388692</td>\n",
       "      <td>552.842712</td>\n",
       "      <td>0.884582</td>\n",
       "      <td>608.309166</td>\n",
       "      <td>341.712560</td>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>2</td>\n",
       "      <td>214</td>\n",
       "      <td>F001_max_clean_Cyto.tiff</td>\n",
       "      <td>F001_max_clean_Nuclei.tiff</td>\n",
       "      <td>F001_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>4936</td>\n",
       "      <td>9324</td>\n",
       "      <td>...</td>\n",
       "      <td>6.324555</td>\n",
       "      <td>80.622577</td>\n",
       "      <td>81.294641</td>\n",
       "      <td>-11.188996</td>\n",
       "      <td>485.629509</td>\n",
       "      <td>0.794463</td>\n",
       "      <td>1727.927674</td>\n",
       "      <td>1356.315235</td>\n",
       "      <td>0</td>\n",
       "      <td>214</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133208</th>\n",
       "      <td>224</td>\n",
       "      <td>71</td>\n",
       "      <td>F223_max_clean_Cyto.tiff</td>\n",
       "      <td>F223_max_clean_Nuclei.tiff</td>\n",
       "      <td>F223_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>6998</td>\n",
       "      <td>14098</td>\n",
       "      <td>...</td>\n",
       "      <td>7.615773</td>\n",
       "      <td>85.466028</td>\n",
       "      <td>75.170318</td>\n",
       "      <td>29.196223</td>\n",
       "      <td>761.837662</td>\n",
       "      <td>0.724731</td>\n",
       "      <td>1556.829380</td>\n",
       "      <td>387.129608</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133393</th>\n",
       "      <td>224</td>\n",
       "      <td>256</td>\n",
       "      <td>F223_max_clean_Cyto.tiff</td>\n",
       "      <td>F223_max_clean_Nuclei.tiff</td>\n",
       "      <td>F223_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>5881</td>\n",
       "      <td>11875</td>\n",
       "      <td>...</td>\n",
       "      <td>5.656854</td>\n",
       "      <td>93.093983</td>\n",
       "      <td>78.324663</td>\n",
       "      <td>20.254425</td>\n",
       "      <td>720.938167</td>\n",
       "      <td>0.672883</td>\n",
       "      <td>632.083319</td>\n",
       "      <td>1515.613501</td>\n",
       "      <td>0</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133396</th>\n",
       "      <td>224</td>\n",
       "      <td>259</td>\n",
       "      <td>F223_max_clean_Cyto.tiff</td>\n",
       "      <td>F223_max_clean_Nuclei.tiff</td>\n",
       "      <td>F223_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>3162</td>\n",
       "      <td>6450</td>\n",
       "      <td>...</td>\n",
       "      <td>5.830952</td>\n",
       "      <td>64.633700</td>\n",
       "      <td>55.555118</td>\n",
       "      <td>62.408406</td>\n",
       "      <td>393.268073</td>\n",
       "      <td>0.737751</td>\n",
       "      <td>602.055345</td>\n",
       "      <td>1574.285895</td>\n",
       "      <td>0</td>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133447</th>\n",
       "      <td>225</td>\n",
       "      <td>10</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>10125</td>\n",
       "      <td>28044</td>\n",
       "      <td>...</td>\n",
       "      <td>7.280110</td>\n",
       "      <td>83.644973</td>\n",
       "      <td>70.935472</td>\n",
       "      <td>-71.555325</td>\n",
       "      <td>1113.975793</td>\n",
       "      <td>0.644330</td>\n",
       "      <td>609.942815</td>\n",
       "      <td>289.513086</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133500</th>\n",
       "      <td>225</td>\n",
       "      <td>63</td>\n",
       "      <td>F224_max_clean_Cyto.tiff</td>\n",
       "      <td>F224_max_clean_Nuclei.tiff</td>\n",
       "      <td>F224_max_clean_Soma.tiff</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>/home/imaging/Desktop/Brian/NAS/Brian/101222_D...</td>\n",
       "      <td>4019</td>\n",
       "      <td>11556</td>\n",
       "      <td>...</td>\n",
       "      <td>6.324555</td>\n",
       "      <td>61.165692</td>\n",
       "      <td>54.384152</td>\n",
       "      <td>-28.610655</td>\n",
       "      <td>494.451840</td>\n",
       "      <td>0.629345</td>\n",
       "      <td>522.123663</td>\n",
       "      <td>833.597412</td>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>300 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ImageNumber  ObjectNumber             FileName_Cyto  \\\n",
       "5                 1             6  F000_max_clean_Cyto.tiff   \n",
       "13                1            14  F000_max_clean_Cyto.tiff   \n",
       "131               1           132  F000_max_clean_Cyto.tiff   \n",
       "330               2            51  F001_max_clean_Cyto.tiff   \n",
       "493               2           214  F001_max_clean_Cyto.tiff   \n",
       "...             ...           ...                       ...   \n",
       "133208          224            71  F223_max_clean_Cyto.tiff   \n",
       "133393          224           256  F223_max_clean_Cyto.tiff   \n",
       "133396          224           259  F223_max_clean_Cyto.tiff   \n",
       "133447          225            10  F224_max_clean_Cyto.tiff   \n",
       "133500          225            63  F224_max_clean_Cyto.tiff   \n",
       "\n",
       "                   FileName_Nuclei             FileName_Soma  \\\n",
       "5       F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "13      F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "131     F000_max_clean_Nuclei.tiff  F000_max_clean_Soma.tiff   \n",
       "330     F001_max_clean_Nuclei.tiff  F001_max_clean_Soma.tiff   \n",
       "493     F001_max_clean_Nuclei.tiff  F001_max_clean_Soma.tiff   \n",
       "...                            ...                       ...   \n",
       "133208  F223_max_clean_Nuclei.tiff  F223_max_clean_Soma.tiff   \n",
       "133393  F223_max_clean_Nuclei.tiff  F223_max_clean_Soma.tiff   \n",
       "133396  F223_max_clean_Nuclei.tiff  F223_max_clean_Soma.tiff   \n",
       "133447  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "133500  F224_max_clean_Nuclei.tiff  F224_max_clean_Soma.tiff   \n",
       "\n",
       "                                            PathName_Cyto  \\\n",
       "5       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "13      /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "131     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "330     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "493     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "...                                                   ...   \n",
       "133208  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133393  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133396  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133447  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133500  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "\n",
       "                                          PathName_Nuclei  \\\n",
       "5       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "13      /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "131     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "330     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "493     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "...                                                   ...   \n",
       "133208  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133393  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133396  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133447  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "133500  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...   \n",
       "\n",
       "                                            PathName_Soma  AreaShape_Area  \\\n",
       "5       /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            4666   \n",
       "13      /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            4553   \n",
       "131     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            4907   \n",
       "330     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            8193   \n",
       "493     /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            4936   \n",
       "...                                                   ...             ...   \n",
       "133208  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            6998   \n",
       "133393  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            5881   \n",
       "133396  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            3162   \n",
       "133447  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...           10125   \n",
       "133500  /home/imaging/Desktop/Brian/NAS/Brian/101222_D...            4019   \n",
       "\n",
       "        AreaShape_BoundingBoxArea  ...  AreaShape_MedianRadius  \\\n",
       "5                            9120  ...                7.280110   \n",
       "13                           7979  ...                7.615773   \n",
       "131                          8170  ...                5.385165   \n",
       "330                         13334  ...                9.055385   \n",
       "493                          9324  ...                6.324555   \n",
       "...                           ...  ...                     ...   \n",
       "133208                      14098  ...                7.615773   \n",
       "133393                      11875  ...                5.656854   \n",
       "133396                       6450  ...                5.830952   \n",
       "133447                      28044  ...                7.280110   \n",
       "133500                      11556  ...                6.324555   \n",
       "\n",
       "        AreaShape_MinFeretDiameter  AreaShape_MinorAxisLength  \\\n",
       "5                        73.173414                  63.858926   \n",
       "13                       69.349619                  70.233086   \n",
       "131                      84.844011                  86.617992   \n",
       "330                      91.479059                  96.967061   \n",
       "493                      80.622577                  81.294641   \n",
       "...                            ...                        ...   \n",
       "133208                   85.466028                  75.170318   \n",
       "133393                   93.093983                  78.324663   \n",
       "133396                   64.633700                  55.555118   \n",
       "133447                   83.644973                  70.935472   \n",
       "133500                   61.165692                  54.384152   \n",
       "\n",
       "        AreaShape_Orientation  AreaShape_Perimeter  AreaShape_Solidity  \\\n",
       "5                  -10.383178           511.209199            0.715425   \n",
       "13                 -14.116441           441.203102            0.809854   \n",
       "131                 21.256936           598.943218            0.718869   \n",
       "330                 48.388692           552.842712            0.884582   \n",
       "493                -11.188996           485.629509            0.794463   \n",
       "...                       ...                  ...                 ...   \n",
       "133208              29.196223           761.837662            0.724731   \n",
       "133393              20.254425           720.938167            0.672883   \n",
       "133396              62.408406           393.268073            0.737751   \n",
       "133447             -71.555325          1113.975793            0.644330   \n",
       "133500             -28.610655           494.451840            0.629345   \n",
       "\n",
       "        Location_Center_X  Location_Center_Y  Location_Center_Z  \\\n",
       "5             1279.176811          82.330690                  0   \n",
       "13            1327.216561         105.901384                  0   \n",
       "131           1343.771143         797.784593                  0   \n",
       "330            608.309166         341.712560                  0   \n",
       "493           1727.927674        1356.315235                  0   \n",
       "...                   ...                ...                ...   \n",
       "133208        1556.829380         387.129608                  0   \n",
       "133393         632.083319        1515.613501                  0   \n",
       "133396         602.055345        1574.285895                  0   \n",
       "133447         609.942815         289.513086                  0   \n",
       "133500         522.123663         833.597412                  0   \n",
       "\n",
       "        Number_Object_Number  \n",
       "5                          6  \n",
       "13                        14  \n",
       "131                      132  \n",
       "330                       51  \n",
       "493                      214  \n",
       "...                      ...  \n",
       "133208                    71  \n",
       "133393                   256  \n",
       "133396                   259  \n",
       "133447                    10  \n",
       "133500                    63  \n",
       "\n",
       "[300 rows x 37 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seg_df[seg_df.AreaShape_Area > 3000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "f7c7e7ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>Barcode_Idx</th>\n",
       "      <th>SUM</th>\n",
       "      <th>Barcode</th>\n",
       "      <th>RAW</th>\n",
       "      <th>P</th>\n",
       "      <th>LOGIT</th>\n",
       "      <th>ENTROPY</th>\n",
       "      <th>X_NORM</th>\n",
       "      <th>Gene</th>\n",
       "      <th>...</th>\n",
       "      <th>intensity_mean-5</th>\n",
       "      <th>intensity_mean-6</th>\n",
       "      <th>Delta</th>\n",
       "      <th>embedding1</th>\n",
       "      <th>embedding2</th>\n",
       "      <th>MP_UMAP1</th>\n",
       "      <th>MP_UMAP2</th>\n",
       "      <th>True_Label</th>\n",
       "      <th>InfectedCells</th>\n",
       "      <th>Seg_Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.057395</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.038489</td>\n",
       "      <td>0.670602</td>\n",
       "      <td>0.710910</td>\n",
       "      <td>0.864662</td>\n",
       "      <td>0.035280</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.002411</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>8.919654</td>\n",
       "      <td>8.924275</td>\n",
       "      <td>8.274383</td>\n",
       "      <td>-0.655967</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.054958</td>\n",
       "      <td>0.815054</td>\n",
       "      <td>1.483194</td>\n",
       "      <td>0.793739</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006315</td>\n",
       "      <td>0.000928</td>\n",
       "      <td>0.009323</td>\n",
       "      <td>10.795541</td>\n",
       "      <td>8.218206</td>\n",
       "      <td>13.875708</td>\n",
       "      <td>11.552190</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>intensity_mean-8</td>\n",
       "      <td>0.035084</td>\n",
       "      <td>D3</td>\n",
       "      <td>0.024482</td>\n",
       "      <td>0.697820</td>\n",
       "      <td>0.836939</td>\n",
       "      <td>1.319092</td>\n",
       "      <td>0.026690</td>\n",
       "      <td>PPP2R2B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000317</td>\n",
       "      <td>0.014562</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>11.490246</td>\n",
       "      <td>10.536827</td>\n",
       "      <td>6.743976</td>\n",
       "      <td>19.614027</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>intensity_mean-3</td>\n",
       "      <td>0.261197</td>\n",
       "      <td>C12</td>\n",
       "      <td>0.179114</td>\n",
       "      <td>0.685744</td>\n",
       "      <td>0.780298</td>\n",
       "      <td>1.402972</td>\n",
       "      <td>0.108538</td>\n",
       "      <td>HSF1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.062781</td>\n",
       "      <td>0.061092</td>\n",
       "      <td>0.025526</td>\n",
       "      <td>12.307695</td>\n",
       "      <td>3.216018</td>\n",
       "      <td>10.193657</td>\n",
       "      <td>8.133395</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>intensity_mean-0</td>\n",
       "      <td>0.272067</td>\n",
       "      <td>A2</td>\n",
       "      <td>0.267507</td>\n",
       "      <td>0.983239</td>\n",
       "      <td>4.071811</td>\n",
       "      <td>0.117349</td>\n",
       "      <td>0.142667</td>\n",
       "      <td>PGGT1B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.001225</td>\n",
       "      <td>0.071709</td>\n",
       "      <td>9.866774</td>\n",
       "      <td>1.810647</td>\n",
       "      <td>7.693904</td>\n",
       "      <td>17.100174</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>133695</th>\n",
       "      <td>258</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.022828</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.019829</td>\n",
       "      <td>0.868626</td>\n",
       "      <td>1.888866</td>\n",
       "      <td>0.667654</td>\n",
       "      <td>0.014764</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000670</td>\n",
       "      <td>0.002336</td>\n",
       "      <td>11.176550</td>\n",
       "      <td>12.540327</td>\n",
       "      <td>-4.482765</td>\n",
       "      <td>7.153024</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133696</th>\n",
       "      <td>259</td>\n",
       "      <td>intensity_mean-13</td>\n",
       "      <td>0.326837</td>\n",
       "      <td>E4</td>\n",
       "      <td>0.114697</td>\n",
       "      <td>0.350931</td>\n",
       "      <td>-0.614949</td>\n",
       "      <td>1.860739</td>\n",
       "      <td>0.119025</td>\n",
       "      <td>HRAS</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009312</td>\n",
       "      <td>0.031562</td>\n",
       "      <td>0.001021</td>\n",
       "      <td>11.251929</td>\n",
       "      <td>2.987429</td>\n",
       "      <td>10.204902</td>\n",
       "      <td>5.165628</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133697</th>\n",
       "      <td>260</td>\n",
       "      <td>intensity_mean-9</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>D4</td>\n",
       "      <td>0.161259</td>\n",
       "      <td>0.853556</td>\n",
       "      <td>1.762765</td>\n",
       "      <td>0.616539</td>\n",
       "      <td>0.088308</td>\n",
       "      <td>FAN1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.064340</td>\n",
       "      <td>0.027823</td>\n",
       "      <td>9.917559</td>\n",
       "      <td>4.129629</td>\n",
       "      <td>10.297348</td>\n",
       "      <td>1.767311</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133698</th>\n",
       "      <td>261</td>\n",
       "      <td>intensity_mean-19</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>G8</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>0.669709</td>\n",
       "      <td>0.706868</td>\n",
       "      <td>1.034844</td>\n",
       "      <td>0.021284</td>\n",
       "      <td>RAPGEF2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>0.010320</td>\n",
       "      <td>0.001827</td>\n",
       "      <td>10.905128</td>\n",
       "      <td>11.772167</td>\n",
       "      <td>8.326226</td>\n",
       "      <td>4.388920</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133699</th>\n",
       "      <td>262</td>\n",
       "      <td>intensity_mean-15</td>\n",
       "      <td>1.048392</td>\n",
       "      <td>E8</td>\n",
       "      <td>0.684923</td>\n",
       "      <td>0.653308</td>\n",
       "      <td>0.633613</td>\n",
       "      <td>1.344290</td>\n",
       "      <td>0.397249</td>\n",
       "      <td>WASL</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.004988</td>\n",
       "      <td>0.119821</td>\n",
       "      <td>6.712374</td>\n",
       "      <td>-2.731318</td>\n",
       "      <td>7.098932</td>\n",
       "      <td>3.543230</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133700 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        label        Barcode_Idx       SUM Barcode       RAW         P  \\\n",
       "0           1   intensity_mean-0  0.057395      A2  0.038489  0.670602   \n",
       "1           2   intensity_mean-0  0.067428      A2  0.054958  0.815054   \n",
       "2           3   intensity_mean-8  0.035084      D3  0.024482  0.697820   \n",
       "3           4   intensity_mean-3  0.261197     C12  0.179114  0.685744   \n",
       "4           5   intensity_mean-0  0.272067      A2  0.267507  0.983239   \n",
       "...       ...                ...       ...     ...       ...       ...   \n",
       "133695    258  intensity_mean-13  0.022828      E4  0.019829  0.868626   \n",
       "133696    259  intensity_mean-13  0.326837      E4  0.114697  0.350931   \n",
       "133697    260   intensity_mean-9  0.188926      D4  0.161259  0.853556   \n",
       "133698    261  intensity_mean-19  0.003397      G8  0.002275  0.669709   \n",
       "133699    262  intensity_mean-15  1.048392      E8  0.684923  0.653308   \n",
       "\n",
       "           LOGIT   ENTROPY    X_NORM     Gene  ...  intensity_mean-5  \\\n",
       "0       0.710910  0.864662  0.035280   PGGT1B  ...          0.000442   \n",
       "1       1.483194  0.793739  0.043299   PGGT1B  ...          0.006315   \n",
       "2       0.836939  1.319092  0.026690  PPP2R2B  ...          0.000317   \n",
       "3       0.780298  1.402972  0.108538     HSF1  ...          0.062781   \n",
       "4       4.071811  0.117349  0.142667   PGGT1B  ...          0.000070   \n",
       "...          ...       ...       ...      ...  ...               ...   \n",
       "133695  1.888866  0.667654  0.014764     HRAS  ...          0.000016   \n",
       "133696 -0.614949  1.860739  0.119025     HRAS  ...          0.009312   \n",
       "133697  1.762765  0.616539  0.088308     FAN1  ...          0.003363   \n",
       "133698  0.706868  1.034844  0.021284  RAPGEF2  ...          0.000244   \n",
       "133699  0.633613  1.344290  0.397249     WASL  ...          0.012467   \n",
       "\n",
       "        intensity_mean-6     Delta  embedding1  embedding2   MP_UMAP1  \\\n",
       "0               0.002411  0.007052    8.919654    8.924275   8.274383   \n",
       "1               0.000928  0.009323   10.795541    8.218206  13.875708   \n",
       "2               0.014562  0.009024   11.490246   10.536827   6.743976   \n",
       "3               0.061092  0.025526   12.307695    3.216018  10.193657   \n",
       "4               0.001225  0.071709    9.866774    1.810647   7.693904   \n",
       "...                  ...       ...         ...         ...        ...   \n",
       "133695          0.000670  0.002336   11.176550   12.540327  -4.482765   \n",
       "133696          0.031562  0.001021   11.251929    2.987429  10.204902   \n",
       "133697          0.064340  0.027823    9.917559    4.129629  10.297348   \n",
       "133698          0.010320  0.001827   10.905128   11.772167   8.326226   \n",
       "133699          0.004988  0.119821    6.712374   -2.731318   7.098932   \n",
       "\n",
       "         MP_UMAP2  True_Label  InfectedCells  Seg_Label  \n",
       "0       -0.655967           0              0          0  \n",
       "1       11.552190           0              0          0  \n",
       "2       19.614027           0              0          0  \n",
       "3        8.133395           0              1          0  \n",
       "4       17.100174           0              1          0  \n",
       "...           ...         ...            ...        ...  \n",
       "133695   7.153024           0              0          0  \n",
       "133696   5.165628           0              0          0  \n",
       "133697   1.767311           0              0          0  \n",
       "133698   4.388920           0              0          0  \n",
       "133699   3.543230           0              1          0  \n",
       "\n",
       "[133700 rows x 29 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soma_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "3d172ec5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.233983286908078 0.7479108635097493\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "150"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = soma_df[(soma_df.ImageNumber == 13) | (soma_df.ImageNumber == 213)]\n",
    "procode_positives = df.True_Label.sum()/len(df)\n",
    "seg_positives = df.Seg_Label.sum()/len(df)\n",
    "print(procode_positives, seg_positives)\n",
    "\n",
    "AND = len(df[(df.True_Label ==1)& (df.Seg_Label == 1)])\n",
    "AND"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f79fe038",
   "metadata": {},
   "source": [
    "~90% of labelled cells (2 images) with Procode assignment are correctly segmented."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b373fcee",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "106dc35b",
   "metadata": {},
   "source": [
    "## Classifier for all features "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "6dec6a8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df85630a",
   "metadata": {},
   "source": [
    "## LR with Lasso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "ef90f858",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gridCV_fit(params):\n",
    "    best_logreg = LogisticRegression(penalty = params['penalty'], C=params['C'], max_iter = params['max_iter'],\n",
    "                                 solver = params['solver'], class_weight='balanced')\n",
    "    return best_logreg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0d6a5542",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AreaShape_BoundingBoxMaximum_X\n",
      "AreaShape_BoundingBoxMaximum_Y\n",
      "AreaShape_BoundingBoxMinimum_X\n",
      "AreaShape_BoundingBoxMinimum_Y\n",
      "removing  ['ImageNumber', 'ObjectNumber', 'FileName_Cyto', 'FileName_Nuclei', 'FileName_Soma', 'PathName_Cyto', 'PathName_Nuclei', 'PathName_Soma', 'Location_Center_X', 'Location_Center_Y', 'Location_Center_Z', 'Number_Object_Number', 'AreaShape_BoundingBoxMaximum_X', 'AreaShape_BoundingBoxMaximum_Y', 'AreaShape_BoundingBoxMinimum_X', 'AreaShape_BoundingBoxMinimum_Y', 'AreaShape_Center_X', 'AreaShape_Center_Y']\n",
      "[]\n",
      "NAN columns 0\n",
      "(133700, 19)\n",
      "(718, 19)\n",
      "Removing 0 Cells\n",
      "718 718\n",
      "Fitting 5 folds for each of 30 candidates, totalling 150 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:378: FitFailedWarning: \n",
      "50 fits failed out of a total of 150.\n",
      "The score on these train-test partitions for these parameters will be set to nan.\n",
      "If these failures are not expected, you can try to debug them by setting error_score='raise'.\n",
      "\n",
      "Below are more details about the failures:\n",
      "--------------------------------------------------------------------------------\n",
      "50 fits failed with the following error:\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/model_selection/_validation.py\", line 686, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py\", line 1091, in fit\n",
      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
      "  File \"/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py\", line 71, in _check_solver\n",
      "    raise ValueError(\n",
      "ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.\n",
      "\n",
      "  warnings.warn(some_fits_failed_message, FitFailedWarning)\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/model_selection/_search.py:953: UserWarning: One or more of the test scores are non-finite: [0.2549703  0.36243564        nan 0.2549703  0.36243564        nan\n",
      " 0.37835644 0.36243564        nan 0.74291089 0.36243564        nan\n",
      " 0.81083168 0.36243564        nan 0.79687129 0.36243564        nan\n",
      " 0.79683168 0.36243564        nan 0.79487129 0.36243564        nan\n",
      " 0.79685149 0.36243564        nan 0.79685149 0.36243564        nan]\n",
      "  warnings.warn(\n",
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=0.3593813663804626, class_weight=&#x27;balanced&#x27;, max_iter=5000,\n",
       "                   penalty=&#x27;l1&#x27;, solver=&#x27;liblinear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(C=0.3593813663804626, class_weight=&#x27;balanced&#x27;, max_iter=5000,\n",
       "                   penalty=&#x27;l1&#x27;, solver=&#x27;liblinear&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression(C=0.3593813663804626, class_weight='balanced', max_iter=5000,\n",
       "                   penalty='l1', solver='liblinear')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import RepeatedStratifiedKFold\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "# 1) Logistic Regression on barcoded dataframe, then do linear kernel SVM\n",
    "# remove outliers\n",
    "veto = ['ImageNumber', 'ObjectNumber','FileName','PathName','Children','Location', 'Number', 'Parent']\n",
    "seg_df_scaled = MAD(seg_df, veto, 1e-10)\n",
    "print(seg_df_scaled.shape)\n",
    "\n",
    "train_idx = seg_df[(seg_df.ImageNumber == 13) | (seg_df.ImageNumber == 213)].index\n",
    "seg_df_scaled = seg_df_scaled.loc[train_idx,:]\n",
    "print(seg_df_scaled.shape)\n",
    "\n",
    "df_to_plot = seg_df_scaled[(seg_df_scaled.AreaShape_Area < 3000)] # removing outliers?\n",
    "print(f\"Removing {len(seg_df_scaled) - len(df_to_plot)} Cells\")\n",
    "\n",
    "# all columns?\n",
    "feature_cols = seg_df_scaled.columns\n",
    "\n",
    "# comment this out when using all features\n",
    "#cc = ['Eccentricity','Area','FormFactor','ConvexArea']\n",
    "#feature_cols = ['AreaShape_' + x for x in cc]\n",
    "#print(feature_cols)\n",
    "\n",
    "X=df_to_plot.loc[train_idx,feature_cols]\n",
    "y = soma_df.loc[train_idx,\"Seg_Label\"]\n",
    "print(len(X), len(y))\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y , test_size=0.3, random_state=1)\n",
    "\n",
    "# define models and params\n",
    "logreg = LogisticRegression(class_weight='balanced')\n",
    "penalty = ['l1', 'l2','elasticnet']\n",
    "c_values = np.logspace(-4, 4, 10)\n",
    "solver = ['liblinear']\n",
    "max_iter = [5000]\n",
    "# define grid search # use 5-fold cross-validation\n",
    "grid = dict(penalty=penalty, C=c_values, solver=solver, max_iter = max_iter)\n",
    "\n",
    "cv = RepeatedStratifiedKFold(n_splits = 5)\n",
    "clf = GridSearchCV(logreg, param_grid = grid, n_jobs = -1, verbose=True, scoring='accuracy')\n",
    "best_clf = clf.fit(X_train, y_train)\n",
    "\n",
    "best_clf.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "6fb1db14",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best: 0.810832 using {'C': 0.3593813663804626, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.254970 (0.004166) with: {'C': 0.0001, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 0.0001, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 0.0001, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.254970 (0.004166) with: {'C': 0.000774263682681127, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 0.000774263682681127, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 0.000774263682681127, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.378356 (0.040110) with: {'C': 0.005994842503189409, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 0.005994842503189409, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 0.005994842503189409, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.742911 (0.061464) with: {'C': 0.046415888336127774, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 0.046415888336127774, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 0.046415888336127774, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.810832 (0.030252) with: {'C': 0.3593813663804626, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 0.3593813663804626, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 0.3593813663804626, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.796871 (0.026723) with: {'C': 2.782559402207126, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 2.782559402207126, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 2.782559402207126, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.796832 (0.029120) with: {'C': 21.54434690031882, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 21.54434690031882, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 21.54434690031882, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.794871 (0.028172) with: {'C': 166.81005372000558, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 166.81005372000558, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 166.81005372000558, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.796851 (0.029609) with: {'C': 1291.5496650148827, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 1291.5496650148827, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 1291.5496650148827, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n",
      "0.796851 (0.029609) with: {'C': 10000.0, 'max_iter': 5000, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "0.362436 (0.040131) with: {'C': 10000.0, 'max_iter': 5000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
      "nan (nan) with: {'C': 10000.0, 'max_iter': 5000, 'penalty': 'elasticnet', 'solver': 'liblinear'}\n"
     ]
    }
   ],
   "source": [
    "# summarize results\n",
    "print(\"Best: %f using %s\" % (best_clf.best_score_, best_clf.best_params_))\n",
    "means = best_clf.cv_results_['mean_test_score']\n",
    "stds = best_clf.cv_results_['std_test_score']\n",
    "params = best_clf.cv_results_['params']\n",
    "for mean, stdev, param in zip(means, stds, params):\n",
    "    print(\"%f (%f) with: %r\" % (mean, stdev, param))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d5aabb8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.metrics import roc_curve\n",
    "logit_roc_auc = roc_auc_score(y_test, clf.predict(X_test))\n",
    "fpr, tpr, thresholds = roc_curve(y_test, clf.predict_proba(X_test)[:,1])\n",
    "plt.figure()\n",
    "plt.plot(fpr, tpr, label='Logistic Regression (area = %0.2f)' % logit_roc_auc)\n",
    "plt.plot([0, 1], [0, 1],'r--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver operating characteristic')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.savefig('Log_ROC')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7b579734",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.7824074074074074"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print param weights?\n",
    "params = best_clf.best_params_\n",
    "# build another classifier instance with selected model params\n",
    "# define models and params\n",
    "best_logreg = LogisticRegression(penalty = params['penalty'], C=params['C'], max_iter = params['max_iter'],\n",
    "                                 solver = params['solver'], class_weight='balanced')\n",
    "best_logreg.fit(X_train, y_train)\n",
    "best_logreg.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "00a04378",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21,)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_logreg.feature_names_in_.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "f76b5585",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21,)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abs(best_logreg.coef_).reshape((21,)).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "be989af0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15     AreaShape_MinorAxisLength\n",
      "14    AreaShape_MinFeretDiameter\n",
      "2          AreaShape_Compactness\n",
      "10    AreaShape_MaxFeretDiameter\n",
      "1      AreaShape_BoundingBoxArea\n",
      "Name: Feature, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Top 10 model\n",
    "coef_df = pd.DataFrame(columns = ['Feature','Coef'])\n",
    "coef_df['Coef'] = abs(best_logreg.coef_).reshape((19,))\n",
    "coef_df['Feature'] = best_logreg.feature_names_in_\n",
    "df = coef_df.sort_values(by=['Coef'], ascending = False)\n",
    "print(df['Feature'][:5])\n",
    "# top 5 model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "97a40f83",
   "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>Feature</th>\n",
       "      <th>Coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AreaShape_Area</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AreaShape_BoundingBoxArea</td>\n",
       "      <td>4.775674e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AreaShape_Compactness</td>\n",
       "      <td>6.775125e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AreaShape_ConvexArea</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AreaShape_Eccentricity</td>\n",
       "      <td>1.745903e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AreaShape_EquivalentDiameter</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AreaShape_EulerNumber</td>\n",
       "      <td>2.211186e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AreaShape_Extent</td>\n",
       "      <td>2.309745e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AreaShape_FormFactor</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AreaShape_MajorAxisLength</td>\n",
       "      <td>3.816062e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AreaShape_MaxFeretDiameter</td>\n",
       "      <td>4.870636e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AreaShape_MaximumRadius</td>\n",
       "      <td>1.172165e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>AreaShape_MeanRadius</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>AreaShape_MedianRadius</td>\n",
       "      <td>9.037111e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>AreaShape_MinFeretDiameter</td>\n",
       "      <td>7.488333e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>AreaShape_MinorAxisLength</td>\n",
       "      <td>1.470984e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>AreaShape_Orientation</td>\n",
       "      <td>1.234599e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>AreaShape_Perimeter</td>\n",
       "      <td>3.756098e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>AreaShape_Solidity</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Feature          Coef\n",
       "0                 AreaShape_Area  0.000000e+00\n",
       "1      AreaShape_BoundingBoxArea  4.775674e-01\n",
       "2          AreaShape_Compactness  6.775125e-01\n",
       "3           AreaShape_ConvexArea  0.000000e+00\n",
       "4         AreaShape_Eccentricity  1.745903e-01\n",
       "5   AreaShape_EquivalentDiameter  0.000000e+00\n",
       "6          AreaShape_EulerNumber  2.211186e-09\n",
       "7               AreaShape_Extent  2.309745e-01\n",
       "8           AreaShape_FormFactor  0.000000e+00\n",
       "9      AreaShape_MajorAxisLength  3.816062e-01\n",
       "10    AreaShape_MaxFeretDiameter  4.870636e-01\n",
       "11       AreaShape_MaximumRadius  1.172165e-01\n",
       "12          AreaShape_MeanRadius  0.000000e+00\n",
       "13        AreaShape_MedianRadius  9.037111e-11\n",
       "14    AreaShape_MinFeretDiameter  7.488333e-01\n",
       "15     AreaShape_MinorAxisLength  1.470984e+00\n",
       "16         AreaShape_Orientation  1.234599e-02\n",
       "17           AreaShape_Perimeter  3.756098e-01\n",
       "18            AreaShape_Solidity  0.000000e+00"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coef_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "59c5d391",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['AreaShape_MinorAxisLength',\n",
       " 'AreaShape_MinFeretDiameter',\n",
       " 'AreaShape_Compactness',\n",
       " 'AreaShape_BoundingBoxArea',\n",
       " 'AreaShape_MaxFeretDiameter',\n",
       " 'AreaShape_MajorAxisLength',\n",
       " 'AreaShape_Perimeter',\n",
       " 'AreaShape_Extent',\n",
       " 'AreaShape_Eccentricity',\n",
       " 'AreaShape_Center_X',\n",
       " 'AreaShape_MaximumRadius',\n",
       " 'AreaShape_Center_Y',\n",
       " 'AreaShape_Orientation',\n",
       " 'AreaShape_EulerNumber',\n",
       " 'AreaShape_MedianRadius',\n",
       " 'AreaShape_Area',\n",
       " 'AreaShape_FormFactor',\n",
       " 'AreaShape_MeanRadius',\n",
       " 'AreaShape_EquivalentDiameter',\n",
       " 'AreaShape_ConvexArea',\n",
       " 'AreaShape_Solidity']"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Feature'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ce5b15f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17     AreaShape_MinorAxisLength\n",
      "16    AreaShape_MinFeretDiameter\n",
      "4          AreaShape_Compactness\n",
      "1      AreaShape_BoundingBoxArea\n",
      "12    AreaShape_MaxFeretDiameter\n",
      "Name: Feature, dtype: object\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot top 5 features\n",
    "        \n",
    "# plot partially labelled \n",
    "# scatter plot, same as above, except outlier 94.\n",
    "# P vs X_NORM, RAW vs X_NORM, LOGIT vs X_NORM, ENTROPY vs X_NORM\n",
    "fig, axs = plt.subplots(2,3,figsize=(20,10))\n",
    "\n",
    "df = coef_df.sort_values(by=['Coef'], ascending = False)\n",
    "print(df['Feature'][:5])\n",
    "\n",
    "cols_to_plot = df['Feature'].tolist()[:3]\n",
    "col_to_plot2 = ['ENTROPY','RAW']\n",
    "df_to_plot1=seg_df[seg_df['AreaShape_Area']<5000]\n",
    "df_to_plot2=seg_df[seg_df['AreaShape_Area']<1000]\n",
    "\n",
    "for i in range(len(cols_to_plot)):\n",
    "    #col = 'AreaShape_'+cols_to_plot[i]\n",
    "    col = cols_to_plot[i]\n",
    "    df1 = soma_df.loc[df_to_plot1.index]\n",
    "    \n",
    "    # only display images that are labelled?\n",
    "    df1 = df1[(df1.ImageNumber == 13) | (df1.ImageNumber == 213)]\n",
    "    \n",
    "    idx1 = df1[df1['Seg_Label'] == 1].index # Seg Label is only in soma_df\n",
    "    axs[0][i].scatter(df_to_plot1.loc[idx1,'AreaShape_Area'], df_to_plot1.loc[idx1, col], s=3, color = 'r')\n",
    "    idx2 = df1[df1['Seg_Label'] == 0].index\n",
    "    axs[0][i].scatter(df_to_plot1.loc[idx2,'AreaShape_Area'], df_to_plot1.loc[idx2, col], s=3, color = 'b')\n",
    "    axs[0][i].set_xlabel('AreaShape_Area')\n",
    "    axs[0][i].set_ylabel(col)\n",
    "    axs[0][i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    \n",
    "    \n",
    "for i in range(len(cols_to_plot)):\n",
    "    #col = 'AreaShape_'+cols_to_plot[i]\n",
    "    col = cols_to_plot[i]\n",
    "    df2 = soma_df.loc[df_to_plot2.index]\n",
    "    \n",
    "    # only display images that are labelled?\n",
    "    df2 = df2[(df2.ImageNumber == 13) | (df2.ImageNumber == 213)]\n",
    "\n",
    "    idx1 = df2[df2['Seg_Label'] == 1].index\n",
    "    axs[1][i].scatter(df_to_plot2.loc[idx1,'AreaShape_Area'], df_to_plot2.loc[idx1, col], s=3, color = 'r')\n",
    "    idx2 = df2[df2['Seg_Label'] == 0].index\n",
    "    axs[1][i].scatter(df_to_plot2.loc[idx2,'AreaShape_Area'], df_to_plot2.loc[idx2, col], s=3, color = 'b')\n",
    "    axs[1][i].set_xlabel('AreaShape_Area')\n",
    "    axs[1][i].set_ylabel(col)\n",
    "    axs[1][i].set_title(f'Area vs {cols_to_plot[i]}')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "3100f07c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "4e67d761",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8085106382978723\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bkang/mambaforge/envs/imlab/lib/python3.9/site-packages/sklearn/svm/_base.py:1225: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "best_logreg = gridCV_fit(best_clf.best_params_)\n",
    "best_logreg.fit(X_train, y_train)\n",
    "print(best_logreg.score(X_test,y_test))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3d365a7",
   "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": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
