diff --git a/03-analyse_outputs/03-02-cotransfer_analyses.ipynb b/03-analyse_outputs/03-02-cotransfer_analyses.ipynb
index fb1485eb251e1e9ceb4b465263b7e15d2ba14509..3a250d799dc10f7f1c56db3a1be980f0a1db6949 100644
--- a/03-analyse_outputs/03-02-cotransfer_analyses.ipynb
+++ b/03-analyse_outputs/03-02-cotransfer_analyses.ipynb
@@ -9,30 +9,38 @@
"Make sure `prepare_coacquisition_files.py` was run before running this notebook. It can be run like this:\n",
"```bash\n",
"nohup python src/prepare_coacquisition_files.py > prepare_coacquisition_files.log 2>&1 & disown\n",
- "```"
+ "```\n",
+ "\n",
+ "From `03-analyse-outputs/`, it can be run for all programs like this:\n",
+ "```bash\n",
+ "for i in ../data/compiled_results/*/; do basedir=$(basename $i);nohup ~/mambaforge/envs/hgt_analyses/bin/python src/prepare_coacquisition_files.py -p 200 -c $i > \"../data/nohup_prepare_coacquisition_files_\"$basedir\".log\" & disown ;done\n",
+ "```\n",
+ "This loops over all `compiled_results` subdirectories, and for each one, it runs the `prepare_coacquisition_files.py` script that results in the output in the same subdirectory for each program. The `-p` flag is the number of processes to use, and `-c` is the path to the subdirectory with compiled results for a single program. "
]
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
- "import itertools\n",
- "import multiprocessing as mp\n",
- "from tqdm import tqdm\n",
"import os\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl\n",
- "import statsmodels.api as sm\n",
+ "import seaborn as sns\n",
"\n",
"# use plotly for interactive plots\n",
- "from plotly.offline import plot\n",
"import plotly.graph_objs as go\n",
"from plotly.subplots import make_subplots\n",
"\n",
+ "import matplotlib.pyplot as plt\n",
+ "from matplotlib.ticker import FixedLocator\n",
+ "\n",
+ "plt.rcParams[\"font.family\"] = \"serif\"\n",
+ "\n",
+ "\n",
"import json\n",
"# read in the marker styles\n",
"with open('lib/plot_marker_styles.json', 'r') as fh:\n",
@@ -55,7 +63,7 @@
"# the number of genes between a coacquired pair of genes, to be considered neighbors\n",
"neighbor_genes_between_cutoffs = [0, 1, 2, 3]\n",
"minimum_genome_size = 1000 # minimum genome size to consider a genome (i.e. contig or chromosome) for analysis\n",
- "min_coacquisitions = 10 # minimum number of coacquisitions to consider a threshold of a method for analysis\n",
+ "min_coacquisitions = 20 # minimum number of coacquisitions to consider a threshold of a method for analysis\n",
"# minimum number of coacquisitions with known positions, as a certain numerator, for considering it for percentage calculation\n",
"# e.g. for the percentage of coacquisitions that are neighbors, \n",
"# we need at least this many neighbors that are coacquired for a given transfer threshold of a method to be considered\n",
@@ -85,7 +93,9 @@
"output_type": "stream",
"text": [
"The following methods are included in the coacquisitions data:\n",
- "['gloome.ml', 'gloome.ml.without_tree', 'ale', 'angst', 'gloome.mp', 'gloome.mp.without_tree', 'ranger-fast', 'ranger', 'count.ml']\n"
+ "['gloome.ml', 'gloome.ml.without_tree', 'angst', 'ale', 'ranger-fast', 'ranger', 'count.ml', 'wn']\n",
+ "Methods in the dataframe: ['gloome.ml' 'gloome.ml.without_tree' 'angst' 'ale' 'ranger-fast' 'ranger'\n",
+ " 'count.ml' 'wn']\n"
]
},
{
@@ -136,23 +146,23 @@
" <tr>\n",
" <th>0</th>\n",
" <td>gloome.ml</td>\n",
- " <td>65</td>\n",
+ " <td>76</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.069084</td>\n",
- " <td>-0.069084</td>\n",
+ " <td>0.069370</td>\n",
+ " <td>-0.069370</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
- " <td>-0.207251</td>\n",
+ " <td>-0.208109</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.276335</td>\n",
- " <td>-0.276335</td>\n",
+ " <td>0.277479</td>\n",
+ " <td>-0.277479</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
@@ -165,21 +175,21 @@
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.068628</td>\n",
- " <td>-0.068628</td>\n",
+ " <td>0.069475</td>\n",
+ " <td>-0.069475</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
- " <td>-0.205884</td>\n",
+ " <td>-0.208424</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.274513</td>\n",
- " <td>-0.274513</td>\n",
+ " <td>0.277899</td>\n",
+ " <td>-0.277899</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.998500</td>\n",
+ " <td>0.998800</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
@@ -189,21 +199,21 @@
" <td>0.500000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.067302</td>\n",
- " <td>0.432698</td>\n",
+ " <td>0.067832</td>\n",
+ " <td>0.432168</td>\n",
" <td>1.0</td>\n",
" <td>0.500000</td>\n",
" <td>...</td>\n",
- " <td>0.298095</td>\n",
+ " <td>0.296503</td>\n",
" <td>1.0</td>\n",
" <td>0.500000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.269206</td>\n",
- " <td>0.230794</td>\n",
+ " <td>0.271329</td>\n",
+ " <td>0.228671</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.997100</td>\n",
+ " <td>0.997000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
@@ -213,21 +223,21 @@
" <td>0.200000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.064686</td>\n",
- " <td>0.135314</td>\n",
+ " <td>0.064918</td>\n",
+ " <td>0.135082</td>\n",
" <td>4.0</td>\n",
" <td>0.800000</td>\n",
" <td>...</td>\n",
- " <td>0.805943</td>\n",
+ " <td>0.805246</td>\n",
" <td>5.0</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.258742</td>\n",
- " <td>0.741258</td>\n",
+ " <td>0.259672</td>\n",
+ " <td>0.740328</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.991500</td>\n",
+ " <td>0.990800</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
@@ -237,18 +247,18 @@
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.059063</td>\n",
- " <td>0.940937</td>\n",
+ " <td>0.059354</td>\n",
+ " <td>0.940646</td>\n",
" <td>15.0</td>\n",
" <td>1.500000</td>\n",
" <td>...</td>\n",
- " <td>1.522811</td>\n",
+ " <td>1.521937</td>\n",
" <td>17.0</td>\n",
" <td>1.700000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.236252</td>\n",
- " <td>1.463748</td>\n",
+ " <td>0.237417</td>\n",
+ " <td>1.462583</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.987100</td>\n",
@@ -278,143 +288,143 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>69</th>\n",
+ " <th>77</th>\n",
" <td>count.ml</td>\n",
- " <td>10000</td>\n",
- " <td>36.0</td>\n",
- " <td>0.360000</td>\n",
+ " <td>200000</td>\n",
+ " <td>785.0</td>\n",
+ " <td>0.392500</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.086233</td>\n",
- " <td>0.273767</td>\n",
- " <td>65.0</td>\n",
- " <td>0.650000</td>\n",
+ " <td>0.066202</td>\n",
+ " <td>0.326298</td>\n",
+ " <td>1344.0</td>\n",
+ " <td>0.672000</td>\n",
" <td>...</td>\n",
- " <td>0.531302</td>\n",
- " <td>88.0</td>\n",
- " <td>0.880000</td>\n",
+ " <td>0.687395</td>\n",
+ " <td>2118.0</td>\n",
+ " <td>1.059000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.344930</td>\n",
- " <td>0.535070</td>\n",
+ " <td>0.264806</td>\n",
+ " <td>0.794194</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.999779</td>\n",
+ " <td>0.382606</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>70</th>\n",
+ " <th>78</th>\n",
" <td>count.ml</td>\n",
- " <td>20000</td>\n",
- " <td>82.0</td>\n",
- " <td>0.410000</td>\n",
+ " <td>225839</td>\n",
+ " <td>829.0</td>\n",
+ " <td>0.367076</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.081686</td>\n",
- " <td>0.328314</td>\n",
- " <td>144.0</td>\n",
- " <td>0.720000</td>\n",
+ " <td>0.065598</td>\n",
+ " <td>0.301478</td>\n",
+ " <td>1417.0</td>\n",
+ " <td>0.627438</td>\n",
" <td>...</td>\n",
- " <td>0.684941</td>\n",
- " <td>220.0</td>\n",
- " <td>1.100000</td>\n",
+ " <td>0.631672</td>\n",
+ " <td>2237.0</td>\n",
+ " <td>0.990529</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.326745</td>\n",
- " <td>0.773255</td>\n",
+ " <td>0.262392</td>\n",
+ " <td>0.728136</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.984796</td>\n",
+ " <td>0.308066</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>71</th>\n",
+ " <th>79</th>\n",
" <td>count.ml</td>\n",
- " <td>50000</td>\n",
- " <td>266.0</td>\n",
- " <td>0.532000</td>\n",
+ " <td>301112</td>\n",
+ " <td>986.0</td>\n",
+ " <td>0.327453</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.073936</td>\n",
- " <td>0.458064</td>\n",
- " <td>446.0</td>\n",
- " <td>0.892000</td>\n",
+ " <td>0.064640</td>\n",
+ " <td>0.262813</td>\n",
+ " <td>1691.0</td>\n",
+ " <td>0.561585</td>\n",
" <td>...</td>\n",
- " <td>0.928191</td>\n",
- " <td>675.0</td>\n",
- " <td>1.350000</td>\n",
+ " <td>0.550323</td>\n",
+ " <td>2689.0</td>\n",
+ " <td>0.893023</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.295745</td>\n",
- " <td>1.054255</td>\n",
+ " <td>0.258558</td>\n",
+ " <td>0.634465</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.931215</td>\n",
+ " <td>0.168546</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>72</th>\n",
+ " <th>80</th>\n",
" <td>count.ml</td>\n",
- " <td>100000</td>\n",
- " <td>499.0</td>\n",
- " <td>0.499000</td>\n",
+ " <td>376386</td>\n",
+ " <td>1137.0</td>\n",
+ " <td>0.302083</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.069016</td>\n",
- " <td>0.429984</td>\n",
- " <td>856.0</td>\n",
- " <td>0.856000</td>\n",
+ " <td>0.063907</td>\n",
+ " <td>0.238177</td>\n",
+ " <td>1961.0</td>\n",
+ " <td>0.521008</td>\n",
" <td>...</td>\n",
- " <td>0.916951</td>\n",
- " <td>1330.0</td>\n",
- " <td>1.330000</td>\n",
+ " <td>0.496935</td>\n",
+ " <td>3134.0</td>\n",
+ " <td>0.832656</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.276066</td>\n",
- " <td>1.053934</td>\n",
+ " <td>0.255626</td>\n",
+ " <td>0.577030</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.802181</td>\n",
+ " <td>0.100058</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>73</th>\n",
- " <td>count.ml</td>\n",
- " <td>370657</td>\n",
- " <td>1083.0</td>\n",
- " <td>0.292184</td>\n",
+ " <th>81</th>\n",
+ " <td>wn</td>\n",
+ " <td>291381</td>\n",
+ " <td>349.0</td>\n",
+ " <td>0.119774</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.063787</td>\n",
- " <td>0.228397</td>\n",
- " <td>1882.0</td>\n",
- " <td>0.507747</td>\n",
+ " <td>0.055602</td>\n",
+ " <td>0.064172</td>\n",
+ " <td>576.0</td>\n",
+ " <td>0.197679</td>\n",
" <td>...</td>\n",
- " <td>0.483387</td>\n",
- " <td>3039.0</td>\n",
- " <td>0.819895</td>\n",
+ " <td>0.099512</td>\n",
+ " <td>949.0</td>\n",
+ " <td>0.325690</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.255148</td>\n",
- " <td>0.564748</td>\n",
+ " <td>0.222408</td>\n",
+ " <td>0.103282</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.100060</td>\n",
+ " <td>4.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>74 rows × 29 columns</p>\n",
+ "<p>82 rows × 29 columns</p>\n",
"</div>"
],
"text/plain": [
" method coacquisitions with known positions \\\n",
- "0 gloome.ml 65 \n",
+ "0 gloome.ml 76 \n",
"1 gloome.ml 100 \n",
"2 gloome.ml 200 \n",
"3 gloome.ml 500 \n",
"4 gloome.ml 1000 \n",
".. ... ... \n",
- "69 count.ml 10000 \n",
- "70 count.ml 20000 \n",
- "71 count.ml 50000 \n",
- "72 count.ml 100000 \n",
- "73 count.ml 370657 \n",
+ "77 count.ml 200000 \n",
+ "78 count.ml 225839 \n",
+ "79 count.ml 301112 \n",
+ "80 count.ml 376386 \n",
+ "81 wn 291381 \n",
"\n",
" neighbors (0 intervening genes) \\\n",
"0 0.0 \n",
@@ -423,11 +433,11 @@
"3 1.0 \n",
"4 10.0 \n",
".. ... \n",
- "69 36.0 \n",
- "70 82.0 \n",
- "71 266.0 \n",
- "72 499.0 \n",
- "73 1083.0 \n",
+ "77 785.0 \n",
+ "78 829.0 \n",
+ "79 986.0 \n",
+ "80 1137.0 \n",
+ "81 349.0 \n",
"\n",
" neighbor (max 0 intervening genes) percentage \\\n",
"0 0.000000 \n",
@@ -436,11 +446,11 @@
"3 0.200000 \n",
"4 1.000000 \n",
".. ... \n",
- "69 0.360000 \n",
- "70 0.410000 \n",
- "71 0.532000 \n",
- "72 0.499000 \n",
- "73 0.292184 \n",
+ "77 0.392500 \n",
+ "78 0.367076 \n",
+ "79 0.327453 \n",
+ "80 0.302083 \n",
+ "81 0.119774 \n",
"\n",
" cotransfer and neighbor (max 0 intervening genes) \\\n",
"0 NaN \n",
@@ -449,11 +459,11 @@
"3 NaN \n",
"4 NaN \n",
".. ... \n",
- "69 NaN \n",
- "70 NaN \n",
- "71 NaN \n",
- "72 NaN \n",
- "73 NaN \n",
+ "77 NaN \n",
+ "78 NaN \n",
+ "79 NaN \n",
+ "80 NaN \n",
+ "81 NaN \n",
"\n",
" cotransfer and neighbor (max 0 intervening genes) percentage \\\n",
"0 NaN \n",
@@ -462,37 +472,37 @@
"3 NaN \n",
"4 NaN \n",
".. ... \n",
- "69 NaN \n",
- "70 NaN \n",
- "71 NaN \n",
- "72 NaN \n",
- "73 NaN \n",
+ "77 NaN \n",
+ "78 NaN \n",
+ "79 NaN \n",
+ "80 NaN \n",
+ "81 NaN \n",
"\n",
" expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 0.069084 \n",
- "1 0.068628 \n",
- "2 0.067302 \n",
- "3 0.064686 \n",
- "4 0.059063 \n",
+ "0 0.069370 \n",
+ "1 0.069475 \n",
+ "2 0.067832 \n",
+ "3 0.064918 \n",
+ "4 0.059354 \n",
".. ... \n",
- "69 0.086233 \n",
- "70 0.081686 \n",
- "71 0.073936 \n",
- "72 0.069016 \n",
- "73 0.063787 \n",
+ "77 0.066202 \n",
+ "78 0.065598 \n",
+ "79 0.064640 \n",
+ "80 0.063907 \n",
+ "81 0.055602 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 -0.069084 \n",
- "1 -0.068628 \n",
- "2 0.432698 \n",
- "3 0.135314 \n",
- "4 0.940937 \n",
+ "0 -0.069370 \n",
+ "1 -0.069475 \n",
+ "2 0.432168 \n",
+ "3 0.135082 \n",
+ "4 0.940646 \n",
".. ... \n",
- "69 0.273767 \n",
- "70 0.328314 \n",
- "71 0.458064 \n",
- "72 0.429984 \n",
- "73 0.228397 \n",
+ "77 0.326298 \n",
+ "78 0.301478 \n",
+ "79 0.262813 \n",
+ "80 0.238177 \n",
+ "81 0.064172 \n",
"\n",
" neighbors (1 intervening genes) \\\n",
"0 0.0 \n",
@@ -501,11 +511,11 @@
"3 4.0 \n",
"4 15.0 \n",
".. ... \n",
- "69 65.0 \n",
- "70 144.0 \n",
- "71 446.0 \n",
- "72 856.0 \n",
- "73 1882.0 \n",
+ "77 1344.0 \n",
+ "78 1417.0 \n",
+ "79 1691.0 \n",
+ "80 1961.0 \n",
+ "81 576.0 \n",
"\n",
" neighbor (max 1 intervening genes) percentage ... \\\n",
"0 0.000000 ... \n",
@@ -514,24 +524,24 @@
"3 0.800000 ... \n",
"4 1.500000 ... \n",
".. ... ... \n",
- "69 0.650000 ... \n",
- "70 0.720000 ... \n",
- "71 0.892000 ... \n",
- "72 0.856000 ... \n",
- "73 0.507747 ... \n",
+ "77 0.672000 ... \n",
+ "78 0.627438 ... \n",
+ "79 0.561585 ... \n",
+ "80 0.521008 ... \n",
+ "81 0.197679 ... \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
- "0 -0.207251 \n",
- "1 -0.205884 \n",
- "2 0.298095 \n",
- "3 0.805943 \n",
- "4 1.522811 \n",
+ "0 -0.208109 \n",
+ "1 -0.208424 \n",
+ "2 0.296503 \n",
+ "3 0.805246 \n",
+ "4 1.521937 \n",
".. ... \n",
- "69 0.531302 \n",
- "70 0.684941 \n",
- "71 0.928191 \n",
- "72 0.916951 \n",
- "73 0.483387 \n",
+ "77 0.687395 \n",
+ "78 0.631672 \n",
+ "79 0.550323 \n",
+ "80 0.496935 \n",
+ "81 0.099512 \n",
"\n",
" neighbors (3 intervening genes) \\\n",
"0 0.0 \n",
@@ -540,11 +550,11 @@
"3 5.0 \n",
"4 17.0 \n",
".. ... \n",
- "69 88.0 \n",
- "70 220.0 \n",
- "71 675.0 \n",
- "72 1330.0 \n",
- "73 3039.0 \n",
+ "77 2118.0 \n",
+ "78 2237.0 \n",
+ "79 2689.0 \n",
+ "80 3134.0 \n",
+ "81 949.0 \n",
"\n",
" neighbor (max 3 intervening genes) percentage \\\n",
"0 0.000000 \n",
@@ -553,11 +563,11 @@
"3 1.000000 \n",
"4 1.700000 \n",
".. ... \n",
- "69 0.880000 \n",
- "70 1.100000 \n",
- "71 1.350000 \n",
- "72 1.330000 \n",
- "73 0.819895 \n",
+ "77 1.059000 \n",
+ "78 0.990529 \n",
+ "79 0.893023 \n",
+ "80 0.832656 \n",
+ "81 0.325690 \n",
"\n",
" cotransfer and neighbor (max 3 intervening genes) \\\n",
"0 NaN \n",
@@ -566,11 +576,11 @@
"3 NaN \n",
"4 NaN \n",
".. ... \n",
- "69 NaN \n",
- "70 NaN \n",
- "71 NaN \n",
- "72 NaN \n",
- "73 NaN \n",
+ "77 NaN \n",
+ "78 NaN \n",
+ "79 NaN \n",
+ "80 NaN \n",
+ "81 NaN \n",
"\n",
" cotransfer and neighbor (max 3 intervening genes) percentage \\\n",
"0 NaN \n",
@@ -579,52 +589,52 @@
"3 NaN \n",
"4 NaN \n",
".. ... \n",
- "69 NaN \n",
- "70 NaN \n",
- "71 NaN \n",
- "72 NaN \n",
- "73 NaN \n",
+ "77 NaN \n",
+ "78 NaN \n",
+ "79 NaN \n",
+ "80 NaN \n",
+ "81 NaN \n",
"\n",
" expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 0.276335 \n",
- "1 0.274513 \n",
- "2 0.269206 \n",
- "3 0.258742 \n",
- "4 0.236252 \n",
+ "0 0.277479 \n",
+ "1 0.277899 \n",
+ "2 0.271329 \n",
+ "3 0.259672 \n",
+ "4 0.237417 \n",
".. ... \n",
- "69 0.344930 \n",
- "70 0.326745 \n",
- "71 0.295745 \n",
- "72 0.276066 \n",
- "73 0.255148 \n",
+ "77 0.264806 \n",
+ "78 0.262392 \n",
+ "79 0.258558 \n",
+ "80 0.255626 \n",
+ "81 0.222408 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 -0.276335 \n",
- "1 -0.274513 \n",
- "2 0.230794 \n",
- "3 0.741258 \n",
- "4 1.463748 \n",
+ "0 -0.277479 \n",
+ "1 -0.277899 \n",
+ "2 0.228671 \n",
+ "3 0.740328 \n",
+ "4 1.462583 \n",
".. ... \n",
- "69 0.535070 \n",
- "70 0.773255 \n",
- "71 1.054255 \n",
- "72 1.053934 \n",
- "73 0.564748 \n",
+ "77 0.794194 \n",
+ "78 0.728136 \n",
+ "79 0.634465 \n",
+ "80 0.577030 \n",
+ "81 0.103282 \n",
"\n",
" cotransfers cotransfer percentage transfer threshold \n",
"0 NaN NaN 1.000000 \n",
- "1 NaN NaN 0.998500 \n",
- "2 NaN NaN 0.997100 \n",
- "3 NaN NaN 0.991500 \n",
+ "1 NaN NaN 0.998800 \n",
+ "2 NaN NaN 0.997000 \n",
+ "3 NaN NaN 0.990800 \n",
"4 NaN NaN 0.987100 \n",
".. ... ... ... \n",
- "69 NaN NaN 0.999779 \n",
- "70 NaN NaN 0.984796 \n",
- "71 NaN NaN 0.931215 \n",
- "72 NaN NaN 0.802181 \n",
- "73 NaN NaN 0.100060 \n",
+ "77 NaN NaN 0.382606 \n",
+ "78 NaN NaN 0.308066 \n",
+ "79 NaN NaN 0.168546 \n",
+ "80 NaN NaN 0.100058 \n",
+ "81 NaN NaN 4.000000 \n",
"\n",
- "[74 rows x 29 columns]"
+ "[82 rows x 29 columns]"
]
},
"metadata": {},
@@ -673,7 +683,9 @@
"output_type": "stream",
"text": [
"The following methods are included in the coacquisitions data:\n",
- "['wn.4.0', 'wn.7.0', 'wn.5.0', 'wn.6.0', 'wn.13.0', 'wn.8.0', 'wn.10.0', 'wn.12.0', 'wn.11.0', 'wn.9.0']\n"
+ "['count.mp.0.33', 'count.mp.0.5', 'count.mp.1', 'count.mp.2', 'count.mp.3', 'count.mp.4', 'count.mp.5', 'count.mp.6', 'count.mp.7', 'count.mp.8']\n",
+ "Methods in the dataframe: ['count.mp']\n",
+ "count_mp coacquisitions summary:\n"
]
},
{
@@ -723,243 +735,243 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>wn</td>\n",
- " <td>26</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>65</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.538462</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.061322</td>\n",
- " <td>-0.061322</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>0.058877</td>\n",
+ " <td>1.479584</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.538462</td>\n",
" <td>...</td>\n",
- " <td>-0.183965</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>1.361829</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.538462</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.245287</td>\n",
- " <td>-0.245287</td>\n",
+ " <td>0.235509</td>\n",
+ " <td>1.302952</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>12.0</td>\n",
+ " <td>8.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
- " <td>wn</td>\n",
- " <td>50</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>190</td>\n",
+ " <td>7.0</td>\n",
+ " <td>3.684211</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.081187</td>\n",
- " <td>-0.081187</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>0.060176</td>\n",
+ " <td>3.624035</td>\n",
+ " <td>9.0</td>\n",
+ " <td>4.736842</td>\n",
" <td>...</td>\n",
- " <td>-0.243562</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>4.556315</td>\n",
+ " <td>9.0</td>\n",
+ " <td>4.736842</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.324750</td>\n",
- " <td>-0.324750</td>\n",
+ " <td>0.240703</td>\n",
+ " <td>4.496139</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>11.0</td>\n",
+ " <td>7.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>wn</td>\n",
- " <td>62</td>\n",
- " <td>1.0</td>\n",
- " <td>1.612903</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>1028</td>\n",
+ " <td>29.0</td>\n",
+ " <td>2.821012</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.056394</td>\n",
- " <td>1.556509</td>\n",
- " <td>1.0</td>\n",
- " <td>1.612903</td>\n",
+ " <td>0.056128</td>\n",
+ " <td>2.764884</td>\n",
+ " <td>41.0</td>\n",
+ " <td>3.988327</td>\n",
" <td>...</td>\n",
- " <td>1.443720</td>\n",
- " <td>1.0</td>\n",
- " <td>1.612903</td>\n",
+ " <td>4.500877</td>\n",
+ " <td>51.0</td>\n",
+ " <td>4.961089</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.225577</td>\n",
- " <td>1.387326</td>\n",
+ " <td>0.224511</td>\n",
+ " <td>4.736579</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>13.0</td>\n",
+ " <td>6.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>wn</td>\n",
- " <td>76</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>3055</td>\n",
+ " <td>57.0</td>\n",
+ " <td>1.865794</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.054986</td>\n",
- " <td>-0.054986</td>\n",
- " <td>1.0</td>\n",
- " <td>1.315789</td>\n",
+ " <td>0.060182</td>\n",
+ " <td>1.805612</td>\n",
+ " <td>88.0</td>\n",
+ " <td>2.880524</td>\n",
" <td>...</td>\n",
- " <td>1.150830</td>\n",
- " <td>1.0</td>\n",
- " <td>1.315789</td>\n",
+ " <td>3.420110</td>\n",
+ " <td>124.0</td>\n",
+ " <td>4.058920</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.219946</td>\n",
- " <td>1.095844</td>\n",
+ " <td>0.240726</td>\n",
+ " <td>3.818194</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>10.0</td>\n",
+ " <td>5.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
- " <td>wn</td>\n",
- " <td>161</td>\n",
- " <td>1.0</td>\n",
- " <td>0.621118</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>8352</td>\n",
+ " <td>112.0</td>\n",
+ " <td>1.340996</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.065020</td>\n",
- " <td>0.556098</td>\n",
- " <td>1.0</td>\n",
- " <td>0.621118</td>\n",
+ " <td>0.061749</td>\n",
+ " <td>1.279247</td>\n",
+ " <td>196.0</td>\n",
+ " <td>2.346743</td>\n",
" <td>...</td>\n",
- " <td>1.047175</td>\n",
- " <td>2.0</td>\n",
- " <td>1.242236</td>\n",
+ " <td>2.736209</td>\n",
+ " <td>275.0</td>\n",
+ " <td>3.292625</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.260081</td>\n",
- " <td>0.982155</td>\n",
+ " <td>0.246997</td>\n",
+ " <td>3.045628</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>9.0</td>\n",
+ " <td>4.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
- " <td>wn</td>\n",
- " <td>310</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>34177</td>\n",
+ " <td>272.0</td>\n",
+ " <td>0.795857</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.060091</td>\n",
- " <td>-0.060091</td>\n",
- " <td>1.0</td>\n",
- " <td>0.322581</td>\n",
+ " <td>0.061482</td>\n",
+ " <td>0.734375</td>\n",
+ " <td>472.0</td>\n",
+ " <td>1.381046</td>\n",
" <td>...</td>\n",
- " <td>0.142309</td>\n",
- " <td>2.0</td>\n",
- " <td>0.645161</td>\n",
+ " <td>1.588676</td>\n",
+ " <td>702.0</td>\n",
+ " <td>2.054013</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.240362</td>\n",
- " <td>0.404799</td>\n",
+ " <td>0.245928</td>\n",
+ " <td>1.808085</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>8.0</td>\n",
+ " <td>3.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
- " <td>wn</td>\n",
- " <td>2242</td>\n",
- " <td>5.0</td>\n",
- " <td>0.223015</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>139558</td>\n",
+ " <td>636.0</td>\n",
+ " <td>0.455725</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.058235</td>\n",
- " <td>0.164780</td>\n",
- " <td>6.0</td>\n",
- " <td>0.267618</td>\n",
+ " <td>0.063910</td>\n",
+ " <td>0.391815</td>\n",
+ " <td>1082.0</td>\n",
+ " <td>0.775305</td>\n",
" <td>...</td>\n",
- " <td>0.182120</td>\n",
- " <td>10.0</td>\n",
- " <td>0.446030</td>\n",
+ " <td>0.838666</td>\n",
+ " <td>1713.0</td>\n",
+ " <td>1.227447</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.232939</td>\n",
- " <td>0.213092</td>\n",
+ " <td>0.255640</td>\n",
+ " <td>0.971807</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>7.0</td>\n",
+ " <td>2.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
- " <td>wn</td>\n",
- " <td>17061</td>\n",
- " <td>25.0</td>\n",
- " <td>0.146533</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>515122</td>\n",
+ " <td>1431.0</td>\n",
+ " <td>0.277798</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.049873</td>\n",
- " <td>0.096660</td>\n",
- " <td>34.0</td>\n",
- " <td>0.199285</td>\n",
+ " <td>0.063131</td>\n",
+ " <td>0.214668</td>\n",
+ " <td>2496.0</td>\n",
+ " <td>0.484545</td>\n",
" <td>...</td>\n",
- " <td>0.114139</td>\n",
- " <td>53.0</td>\n",
- " <td>0.310650</td>\n",
+ " <td>0.455504</td>\n",
+ " <td>4040.0</td>\n",
+ " <td>0.784280</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.199493</td>\n",
- " <td>0.111157</td>\n",
+ " <td>0.252522</td>\n",
+ " <td>0.531758</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>6.0</td>\n",
+ " <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
- " <td>wn</td>\n",
- " <td>74181</td>\n",
- " <td>92.0</td>\n",
- " <td>0.124021</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>770420</td>\n",
+ " <td>1832.0</td>\n",
+ " <td>0.237792</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.054002</td>\n",
- " <td>0.070019</td>\n",
- " <td>153.0</td>\n",
- " <td>0.206252</td>\n",
+ " <td>0.062668</td>\n",
+ " <td>0.175125</td>\n",
+ " <td>3181.0</td>\n",
+ " <td>0.412892</td>\n",
" <td>...</td>\n",
- " <td>0.111649</td>\n",
- " <td>253.0</td>\n",
- " <td>0.341058</td>\n",
+ " <td>0.360399</td>\n",
+ " <td>5171.0</td>\n",
+ " <td>0.671192</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.216009</td>\n",
- " <td>0.125049</td>\n",
+ " <td>0.250671</td>\n",
+ " <td>0.420522</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>5.0</td>\n",
+ " <td>0.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
- " <td>wn</td>\n",
- " <td>210478</td>\n",
- " <td>210.0</td>\n",
- " <td>0.099773</td>\n",
+ " <td>count.mp</td>\n",
+ " <td>887780</td>\n",
+ " <td>1982.0</td>\n",
+ " <td>0.223254</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.057160</td>\n",
- " <td>0.042613</td>\n",
- " <td>388.0</td>\n",
- " <td>0.184342</td>\n",
+ " <td>0.062238</td>\n",
+ " <td>0.161015</td>\n",
+ " <td>3455.0</td>\n",
+ " <td>0.389173</td>\n",
" <td>...</td>\n",
- " <td>0.080327</td>\n",
- " <td>661.0</td>\n",
- " <td>0.314047</td>\n",
+ " <td>0.332445</td>\n",
+ " <td>5653.0</td>\n",
+ " <td>0.636757</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.228641</td>\n",
- " <td>0.085406</td>\n",
+ " <td>0.248953</td>\n",
+ " <td>0.387804</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>4.0</td>\n",
+ " <td>0.33</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@@ -967,41 +979,41 @@
"</div>"
],
"text/plain": [
- " method coacquisitions with known positions \\\n",
- "0 wn 26 \n",
- "1 wn 50 \n",
- "2 wn 62 \n",
- "3 wn 76 \n",
- "4 wn 161 \n",
- "5 wn 310 \n",
- "6 wn 2242 \n",
- "7 wn 17061 \n",
- "8 wn 74181 \n",
- "9 wn 210478 \n",
+ " method coacquisitions with known positions \\\n",
+ "0 count.mp 65 \n",
+ "1 count.mp 190 \n",
+ "2 count.mp 1028 \n",
+ "3 count.mp 3055 \n",
+ "4 count.mp 8352 \n",
+ "5 count.mp 34177 \n",
+ "6 count.mp 139558 \n",
+ "7 count.mp 515122 \n",
+ "8 count.mp 770420 \n",
+ "9 count.mp 887780 \n",
"\n",
" neighbors (0 intervening genes) \\\n",
- "0 0.0 \n",
- "1 0.0 \n",
- "2 1.0 \n",
- "3 0.0 \n",
- "4 1.0 \n",
- "5 0.0 \n",
- "6 5.0 \n",
- "7 25.0 \n",
- "8 92.0 \n",
- "9 210.0 \n",
+ "0 1.0 \n",
+ "1 7.0 \n",
+ "2 29.0 \n",
+ "3 57.0 \n",
+ "4 112.0 \n",
+ "5 272.0 \n",
+ "6 636.0 \n",
+ "7 1431.0 \n",
+ "8 1832.0 \n",
+ "9 1982.0 \n",
"\n",
" neighbor (max 0 intervening genes) percentage \\\n",
- "0 0.000000 \n",
- "1 0.000000 \n",
- "2 1.612903 \n",
- "3 0.000000 \n",
- "4 0.621118 \n",
- "5 0.000000 \n",
- "6 0.223015 \n",
- "7 0.146533 \n",
- "8 0.124021 \n",
- "9 0.099773 \n",
+ "0 1.538462 \n",
+ "1 3.684211 \n",
+ "2 2.821012 \n",
+ "3 1.865794 \n",
+ "4 1.340996 \n",
+ "5 0.795857 \n",
+ "6 0.455725 \n",
+ "7 0.277798 \n",
+ "8 0.237792 \n",
+ "9 0.223254 \n",
"\n",
" cotransfer and neighbor (max 0 intervening genes) \\\n",
"0 NaN \n",
@@ -1028,88 +1040,88 @@
"9 NaN \n",
"\n",
" expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 0.061322 \n",
- "1 0.081187 \n",
- "2 0.056394 \n",
- "3 0.054986 \n",
- "4 0.065020 \n",
- "5 0.060091 \n",
- "6 0.058235 \n",
- "7 0.049873 \n",
- "8 0.054002 \n",
- "9 0.057160 \n",
+ "0 0.058877 \n",
+ "1 0.060176 \n",
+ "2 0.056128 \n",
+ "3 0.060182 \n",
+ "4 0.061749 \n",
+ "5 0.061482 \n",
+ "6 0.063910 \n",
+ "7 0.063131 \n",
+ "8 0.062668 \n",
+ "9 0.062238 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 -0.061322 \n",
- "1 -0.081187 \n",
- "2 1.556509 \n",
- "3 -0.054986 \n",
- "4 0.556098 \n",
- "5 -0.060091 \n",
- "6 0.164780 \n",
- "7 0.096660 \n",
- "8 0.070019 \n",
- "9 0.042613 \n",
+ "0 1.479584 \n",
+ "1 3.624035 \n",
+ "2 2.764884 \n",
+ "3 1.805612 \n",
+ "4 1.279247 \n",
+ "5 0.734375 \n",
+ "6 0.391815 \n",
+ "7 0.214668 \n",
+ "8 0.175125 \n",
+ "9 0.161015 \n",
"\n",
" neighbors (1 intervening genes) \\\n",
- "0 0.0 \n",
- "1 0.0 \n",
- "2 1.0 \n",
- "3 1.0 \n",
- "4 1.0 \n",
- "5 1.0 \n",
- "6 6.0 \n",
- "7 34.0 \n",
- "8 153.0 \n",
- "9 388.0 \n",
+ "0 1.0 \n",
+ "1 9.0 \n",
+ "2 41.0 \n",
+ "3 88.0 \n",
+ "4 196.0 \n",
+ "5 472.0 \n",
+ "6 1082.0 \n",
+ "7 2496.0 \n",
+ "8 3181.0 \n",
+ "9 3455.0 \n",
"\n",
" neighbor (max 1 intervening genes) percentage ... \\\n",
- "0 0.000000 ... \n",
- "1 0.000000 ... \n",
- "2 1.612903 ... \n",
- "3 1.315789 ... \n",
- "4 0.621118 ... \n",
- "5 0.322581 ... \n",
- "6 0.267618 ... \n",
- "7 0.199285 ... \n",
- "8 0.206252 ... \n",
- "9 0.184342 ... \n",
+ "0 1.538462 ... \n",
+ "1 4.736842 ... \n",
+ "2 3.988327 ... \n",
+ "3 2.880524 ... \n",
+ "4 2.346743 ... \n",
+ "5 1.381046 ... \n",
+ "6 0.775305 ... \n",
+ "7 0.484545 ... \n",
+ "8 0.412892 ... \n",
+ "9 0.389173 ... \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
- "0 -0.183965 \n",
- "1 -0.243562 \n",
- "2 1.443720 \n",
- "3 1.150830 \n",
- "4 1.047175 \n",
- "5 0.142309 \n",
- "6 0.182120 \n",
- "7 0.114139 \n",
- "8 0.111649 \n",
- "9 0.080327 \n",
+ "0 1.361829 \n",
+ "1 4.556315 \n",
+ "2 4.500877 \n",
+ "3 3.420110 \n",
+ "4 2.736209 \n",
+ "5 1.588676 \n",
+ "6 0.838666 \n",
+ "7 0.455504 \n",
+ "8 0.360399 \n",
+ "9 0.332445 \n",
"\n",
" neighbors (3 intervening genes) \\\n",
- "0 0.0 \n",
- "1 0.0 \n",
- "2 1.0 \n",
- "3 1.0 \n",
- "4 2.0 \n",
- "5 2.0 \n",
- "6 10.0 \n",
- "7 53.0 \n",
- "8 253.0 \n",
- "9 661.0 \n",
+ "0 1.0 \n",
+ "1 9.0 \n",
+ "2 51.0 \n",
+ "3 124.0 \n",
+ "4 275.0 \n",
+ "5 702.0 \n",
+ "6 1713.0 \n",
+ "7 4040.0 \n",
+ "8 5171.0 \n",
+ "9 5653.0 \n",
"\n",
" neighbor (max 3 intervening genes) percentage \\\n",
- "0 0.000000 \n",
- "1 0.000000 \n",
- "2 1.612903 \n",
- "3 1.315789 \n",
- "4 1.242236 \n",
- "5 0.645161 \n",
- "6 0.446030 \n",
- "7 0.310650 \n",
- "8 0.341058 \n",
- "9 0.314047 \n",
+ "0 1.538462 \n",
+ "1 4.736842 \n",
+ "2 4.961089 \n",
+ "3 4.058920 \n",
+ "4 3.292625 \n",
+ "5 2.054013 \n",
+ "6 1.227447 \n",
+ "7 0.784280 \n",
+ "8 0.671192 \n",
+ "9 0.636757 \n",
"\n",
" cotransfer and neighbor (max 3 intervening genes) \\\n",
"0 NaN \n",
@@ -1136,90 +1148,65 @@
"9 NaN \n",
"\n",
" expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 0.245287 \n",
- "1 0.324750 \n",
- "2 0.225577 \n",
- "3 0.219946 \n",
- "4 0.260081 \n",
- "5 0.240362 \n",
- "6 0.232939 \n",
- "7 0.199493 \n",
- "8 0.216009 \n",
- "9 0.228641 \n",
+ "0 0.235509 \n",
+ "1 0.240703 \n",
+ "2 0.224511 \n",
+ "3 0.240726 \n",
+ "4 0.246997 \n",
+ "5 0.245928 \n",
+ "6 0.255640 \n",
+ "7 0.252522 \n",
+ "8 0.250671 \n",
+ "9 0.248953 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 -0.245287 \n",
- "1 -0.324750 \n",
- "2 1.387326 \n",
- "3 1.095844 \n",
- "4 0.982155 \n",
- "5 0.404799 \n",
- "6 0.213092 \n",
- "7 0.111157 \n",
- "8 0.125049 \n",
- "9 0.085406 \n",
+ "0 1.302952 \n",
+ "1 4.496139 \n",
+ "2 4.736579 \n",
+ "3 3.818194 \n",
+ "4 3.045628 \n",
+ "5 1.808085 \n",
+ "6 0.971807 \n",
+ "7 0.531758 \n",
+ "8 0.420522 \n",
+ "9 0.387804 \n",
"\n",
" cotransfers cotransfer percentage transfer threshold \n",
- "0 NaN NaN 12.0 \n",
- "1 NaN NaN 11.0 \n",
- "2 NaN NaN 13.0 \n",
- "3 NaN NaN 10.0 \n",
- "4 NaN NaN 9.0 \n",
- "5 NaN NaN 8.0 \n",
- "6 NaN NaN 7.0 \n",
- "7 NaN NaN 6.0 \n",
- "8 NaN NaN 5.0 \n",
- "9 NaN NaN 4.0 \n",
+ "0 NaN NaN 8.00 \n",
+ "1 NaN NaN 7.00 \n",
+ "2 NaN NaN 6.00 \n",
+ "3 NaN NaN 5.00 \n",
+ "4 NaN NaN 4.00 \n",
+ "5 NaN NaN 3.00 \n",
+ "6 NaN NaN 2.00 \n",
+ "7 NaN NaN 1.00 \n",
+ "8 NaN NaN 0.50 \n",
+ "9 NaN NaN 0.33 \n",
"\n",
"[10 rows x 29 columns]"
]
},
"metadata": {},
"output_type": "display_data"
- }
- ],
- "source": [
- "# for wn, we prepared the coacquisitions.wn.tsv file but the transfer thresholds correspond to discrete stringency levels\n",
- "# so we need to convert the coacquisitions.wn.tsv file to a set of files, one for each stringency level\n",
- "# each file will contain the coacquisitions for the corresponding stringency level\n",
- "# the files will be named coacquisitions.wn.<stringency>.tsv\n",
- "wn_coacquisitions_filepath = os.path.join(res_dir, 'wn_count', 'coacquisitions.wn.tsv')\n",
- "wn_coacquisitions_df = pd.read_csv(wn_coacquisitions_filepath, sep='\\t')\n",
- "# the min of 'nog1_transfers' and 'nog2_transfers' is the stringency level\n",
- "wn_coacquisitions_df['stringency'] = wn_coacquisitions_df[['nog1_transfers', 'nog2_transfers']].min(axis=1)\n",
- "# keep only rows where gene positions are available\n",
- "wn_coacquisitions_df = wn_coacquisitions_df[wn_coacquisitions_df['notes'] == 'gene_positions_are_available']\n",
- "wn_dir = os.path.join(res_dir, 'wn')\n",
- "os.makedirs(wn_dir, exist_ok=True)\n",
- "for stringency in wn_coacquisitions_df['stringency'].unique():\n",
- " stringency_coacquisitions_df = wn_coacquisitions_df[wn_coacquisitions_df['stringency'] == stringency]\n",
- " stringency_coacquisitions_df.to_csv(os.path.join(wn_dir, f'coacquisitions.wn.{stringency}.tsv'), sep='\\t', index=False)\n",
- "\n",
- "# we do the same as previous compilation, but with manual thresholds\n",
- "wn_coacquisitions_dfs = clsl.load_data(wn_dir)\n",
- "wn_coacquisitions_dfs = clsl.calculate_min_transfers(wn_coacquisitions_dfs)\n",
- "wn_coacquisitions_summary_df = clsl.summarize_coacquisitions_manual_thresholds(\n",
- " wn_coacquisitions_dfs,\n",
- " neighbor_genes_between_cutoffs,\n",
- " minimum_genome_size,\n",
- " method='wn',\n",
- " min_coacquisitions=min_coacquisitions,\n",
- ")\n",
- "wn_coacquisitions_summary_df = clsl.replace_zeros_with_nan(wn_coacquisitions_summary_df)\n",
- "display(wn_coacquisitions_summary_df)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
"The following methods are included in the coacquisitions data:\n",
- "['count.mp.0.33', 'count.mp.0.5', 'count.mp.1', 'count.mp.2', 'count.mp.3', 'count.mp.4', 'count.mp.5', 'count.mp.6', 'count.mp.7', 'count.mp.8']\n"
+ "['gloome.mp.0.33', 'gloome.mp.0.5', 'gloome.mp.1', 'gloome.mp.2', 'gloome.mp.3', 'gloome.mp.4', 'gloome.mp.5', 'gloome.mp.6', 'gloome.mp.7', 'gloome.mp.8', 'gloome.mp.without_tree.0.33', 'gloome.mp.without_tree.0.5', 'gloome.mp.without_tree.1', 'gloome.mp.without_tree.2', 'gloome.mp.without_tree.3', 'gloome.mp.without_tree.4', 'gloome.mp.without_tree.5', 'gloome.mp.without_tree.6', 'gloome.mp.without_tree.7', 'gloome.mp.without_tree.8']\n",
+ "Skipping non-numeric threshold value: without_tree.8\n",
+ "Skipping non-numeric threshold value: without_tree.7\n",
+ "Skipping non-numeric threshold value: without_tree.6\n",
+ "Skipping non-numeric threshold value: without_tree.5\n",
+ "Skipping non-numeric threshold value: without_tree.4\n",
+ "Skipping non-numeric threshold value: without_tree.3\n",
+ "Skipping non-numeric threshold value: without_tree.2\n",
+ "Skipping non-numeric threshold value: without_tree.1\n",
+ "Skipping non-numeric threshold value: without_tree.0.5\n",
+ "Skipping non-numeric threshold value: without_tree.0.33\n",
+ "Methods in the dataframe: ['gloome.mp']\n",
+ "gloome_mp coacquisitions summary:\n"
]
},
{
@@ -1269,240 +1256,240 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>count.mp</td>\n",
- " <td>63</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>65</td>\n",
" <td>1.0</td>\n",
- " <td>1.587302</td>\n",
+ " <td>1.538462</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.059244</td>\n",
- " <td>1.528057</td>\n",
+ " <td>0.058877</td>\n",
+ " <td>1.479584</td>\n",
" <td>1.0</td>\n",
- " <td>1.587302</td>\n",
+ " <td>1.538462</td>\n",
" <td>...</td>\n",
- " <td>1.409569</td>\n",
+ " <td>1.361829</td>\n",
" <td>1.0</td>\n",
- " <td>1.587302</td>\n",
+ " <td>1.538462</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.236977</td>\n",
- " <td>1.350325</td>\n",
+ " <td>0.235509</td>\n",
+ " <td>1.302952</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>8.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
- " <td>count.mp</td>\n",
- " <td>181</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>190</td>\n",
" <td>7.0</td>\n",
- " <td>3.867403</td>\n",
+ " <td>3.684211</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.060326</td>\n",
- " <td>3.807077</td>\n",
+ " <td>0.060176</td>\n",
+ " <td>3.624035</td>\n",
" <td>9.0</td>\n",
- " <td>4.972376</td>\n",
+ " <td>4.736842</td>\n",
" <td>...</td>\n",
- " <td>4.791398</td>\n",
+ " <td>4.556315</td>\n",
" <td>9.0</td>\n",
- " <td>4.972376</td>\n",
+ " <td>4.736842</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.241304</td>\n",
- " <td>4.731072</td>\n",
+ " <td>0.240703</td>\n",
+ " <td>4.496139</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>count.mp</td>\n",
- " <td>1018</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>1028</td>\n",
" <td>29.0</td>\n",
- " <td>2.848723</td>\n",
+ " <td>2.821012</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.056264</td>\n",
- " <td>2.792459</td>\n",
+ " <td>0.056128</td>\n",
+ " <td>2.764884</td>\n",
" <td>41.0</td>\n",
- " <td>4.027505</td>\n",
+ " <td>3.988327</td>\n",
" <td>...</td>\n",
- " <td>4.546336</td>\n",
+ " <td>4.500877</td>\n",
" <td>51.0</td>\n",
- " <td>5.009823</td>\n",
+ " <td>4.961089</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.225055</td>\n",
- " <td>4.784768</td>\n",
+ " <td>0.224511</td>\n",
+ " <td>4.736579</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>6.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>count.mp</td>\n",
- " <td>3004</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>3055</td>\n",
" <td>57.0</td>\n",
- " <td>1.897470</td>\n",
+ " <td>1.865794</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.060624</td>\n",
- " <td>1.836846</td>\n",
+ " <td>0.060182</td>\n",
+ " <td>1.805612</td>\n",
" <td>88.0</td>\n",
- " <td>2.929427</td>\n",
+ " <td>2.880524</td>\n",
" <td>...</td>\n",
- " <td>3.479912</td>\n",
+ " <td>3.420110</td>\n",
" <td>124.0</td>\n",
- " <td>4.127830</td>\n",
+ " <td>4.058920</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.242496</td>\n",
- " <td>3.885333</td>\n",
+ " <td>0.240726</td>\n",
+ " <td>3.818194</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
- " <td>count.mp</td>\n",
- " <td>8242</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>8352</td>\n",
" <td>112.0</td>\n",
- " <td>1.358893</td>\n",
+ " <td>1.340996</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.062111</td>\n",
- " <td>1.296782</td>\n",
- " <td>195.0</td>\n",
- " <td>2.365931</td>\n",
+ " <td>0.061749</td>\n",
+ " <td>1.279247</td>\n",
+ " <td>196.0</td>\n",
+ " <td>2.346743</td>\n",
" <td>...</td>\n",
- " <td>2.761979</td>\n",
- " <td>273.0</td>\n",
- " <td>3.312303</td>\n",
+ " <td>2.736209</td>\n",
+ " <td>275.0</td>\n",
+ " <td>3.292625</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.248445</td>\n",
- " <td>3.063857</td>\n",
+ " <td>0.246997</td>\n",
+ " <td>3.045628</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
- " <td>count.mp</td>\n",
- " <td>33345</td>\n",
- " <td>264.0</td>\n",
- " <td>0.791723</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>34177</td>\n",
+ " <td>272.0</td>\n",
+ " <td>0.795857</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.061621</td>\n",
- " <td>0.730102</td>\n",
- " <td>457.0</td>\n",
- " <td>1.370520</td>\n",
+ " <td>0.061482</td>\n",
+ " <td>0.734375</td>\n",
+ " <td>472.0</td>\n",
+ " <td>1.381046</td>\n",
" <td>...</td>\n",
- " <td>1.587518</td>\n",
- " <td>683.0</td>\n",
- " <td>2.048283</td>\n",
+ " <td>1.588676</td>\n",
+ " <td>702.0</td>\n",
+ " <td>2.054013</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.246483</td>\n",
- " <td>1.801800</td>\n",
+ " <td>0.245928</td>\n",
+ " <td>1.808085</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
- " <td>count.mp</td>\n",
- " <td>136971</td>\n",
- " <td>617.0</td>\n",
- " <td>0.450460</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>139558</td>\n",
+ " <td>636.0</td>\n",
+ " <td>0.455725</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.063971</td>\n",
- " <td>0.386489</td>\n",
- " <td>1050.0</td>\n",
- " <td>0.766586</td>\n",
+ " <td>0.063910</td>\n",
+ " <td>0.391815</td>\n",
+ " <td>1082.0</td>\n",
+ " <td>0.775305</td>\n",
" <td>...</td>\n",
- " <td>0.830200</td>\n",
- " <td>1669.0</td>\n",
- " <td>1.218506</td>\n",
+ " <td>0.838666</td>\n",
+ " <td>1713.0</td>\n",
+ " <td>1.227447</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.255886</td>\n",
- " <td>0.962620</td>\n",
+ " <td>0.255640</td>\n",
+ " <td>0.971807</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
- " <td>count.mp</td>\n",
- " <td>502868</td>\n",
- " <td>1361.0</td>\n",
- " <td>0.270648</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>515122</td>\n",
+ " <td>1431.0</td>\n",
+ " <td>0.277798</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.063131</td>\n",
- " <td>0.207517</td>\n",
- " <td>2394.0</td>\n",
- " <td>0.476069</td>\n",
+ " <td>0.214668</td>\n",
+ " <td>2496.0</td>\n",
+ " <td>0.484545</td>\n",
" <td>...</td>\n",
- " <td>0.447752</td>\n",
- " <td>3912.0</td>\n",
- " <td>0.777938</td>\n",
+ " <td>0.455504</td>\n",
+ " <td>4040.0</td>\n",
+ " <td>0.784280</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.252524</td>\n",
- " <td>0.525414</td>\n",
+ " <td>0.252522</td>\n",
+ " <td>0.531758</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
- " <td>count.mp</td>\n",
- " <td>751992</td>\n",
- " <td>1738.0</td>\n",
- " <td>0.231119</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>770420</td>\n",
+ " <td>1832.0</td>\n",
+ " <td>0.237792</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.062664</td>\n",
- " <td>0.168455</td>\n",
- " <td>3043.0</td>\n",
- " <td>0.404659</td>\n",
+ " <td>0.062668</td>\n",
+ " <td>0.175125</td>\n",
+ " <td>3181.0</td>\n",
+ " <td>0.412892</td>\n",
" <td>...</td>\n",
- " <td>0.352439</td>\n",
- " <td>4996.0</td>\n",
- " <td>0.664369</td>\n",
+ " <td>0.360399</td>\n",
+ " <td>5171.0</td>\n",
+ " <td>0.671192</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.250657</td>\n",
- " <td>0.413712</td>\n",
+ " <td>0.250671</td>\n",
+ " <td>0.420522</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
- " <td>count.mp</td>\n",
- " <td>865238</td>\n",
- " <td>1882.0</td>\n",
- " <td>0.217512</td>\n",
+ " <td>gloome.mp</td>\n",
+ " <td>887780</td>\n",
+ " <td>1982.0</td>\n",
+ " <td>0.223254</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.062232</td>\n",
- " <td>0.155281</td>\n",
- " <td>3306.0</td>\n",
- " <td>0.382091</td>\n",
+ " <td>0.062238</td>\n",
+ " <td>0.161015</td>\n",
+ " <td>3455.0</td>\n",
+ " <td>0.389173</td>\n",
" <td>...</td>\n",
- " <td>0.325418</td>\n",
- " <td>5455.0</td>\n",
- " <td>0.630462</td>\n",
+ " <td>0.332445</td>\n",
+ " <td>5653.0</td>\n",
+ " <td>0.636757</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.248927</td>\n",
- " <td>0.381536</td>\n",
+ " <td>0.248953</td>\n",
+ " <td>0.387804</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.33</td>\n",
@@ -1513,17 +1500,17 @@
"</div>"
],
"text/plain": [
- " method coacquisitions with known positions \\\n",
- "0 count.mp 63 \n",
- "1 count.mp 181 \n",
- "2 count.mp 1018 \n",
- "3 count.mp 3004 \n",
- "4 count.mp 8242 \n",
- "5 count.mp 33345 \n",
- "6 count.mp 136971 \n",
- "7 count.mp 502868 \n",
- "8 count.mp 751992 \n",
- "9 count.mp 865238 \n",
+ " method coacquisitions with known positions \\\n",
+ "0 gloome.mp 65 \n",
+ "1 gloome.mp 190 \n",
+ "2 gloome.mp 1028 \n",
+ "3 gloome.mp 3055 \n",
+ "4 gloome.mp 8352 \n",
+ "5 gloome.mp 34177 \n",
+ "6 gloome.mp 139558 \n",
+ "7 gloome.mp 515122 \n",
+ "8 gloome.mp 770420 \n",
+ "9 gloome.mp 887780 \n",
"\n",
" neighbors (0 intervening genes) \\\n",
"0 1.0 \n",
@@ -1531,23 +1518,23 @@
"2 29.0 \n",
"3 57.0 \n",
"4 112.0 \n",
- "5 264.0 \n",
- "6 617.0 \n",
- "7 1361.0 \n",
- "8 1738.0 \n",
- "9 1882.0 \n",
+ "5 272.0 \n",
+ "6 636.0 \n",
+ "7 1431.0 \n",
+ "8 1832.0 \n",
+ "9 1982.0 \n",
"\n",
" neighbor (max 0 intervening genes) percentage \\\n",
- "0 1.587302 \n",
- "1 3.867403 \n",
- "2 2.848723 \n",
- "3 1.897470 \n",
- "4 1.358893 \n",
- "5 0.791723 \n",
- "6 0.450460 \n",
- "7 0.270648 \n",
- "8 0.231119 \n",
- "9 0.217512 \n",
+ "0 1.538462 \n",
+ "1 3.684211 \n",
+ "2 2.821012 \n",
+ "3 1.865794 \n",
+ "4 1.340996 \n",
+ "5 0.795857 \n",
+ "6 0.455725 \n",
+ "7 0.277798 \n",
+ "8 0.237792 \n",
+ "9 0.223254 \n",
"\n",
" cotransfer and neighbor (max 0 intervening genes) \\\n",
"0 NaN \n",
@@ -1574,88 +1561,88 @@
"9 NaN \n",
"\n",
" expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 0.059244 \n",
- "1 0.060326 \n",
- "2 0.056264 \n",
- "3 0.060624 \n",
- "4 0.062111 \n",
- "5 0.061621 \n",
- "6 0.063971 \n",
+ "0 0.058877 \n",
+ "1 0.060176 \n",
+ "2 0.056128 \n",
+ "3 0.060182 \n",
+ "4 0.061749 \n",
+ "5 0.061482 \n",
+ "6 0.063910 \n",
"7 0.063131 \n",
- "8 0.062664 \n",
- "9 0.062232 \n",
+ "8 0.062668 \n",
+ "9 0.062238 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 1.528057 \n",
- "1 3.807077 \n",
- "2 2.792459 \n",
- "3 1.836846 \n",
- "4 1.296782 \n",
- "5 0.730102 \n",
- "6 0.386489 \n",
- "7 0.207517 \n",
- "8 0.168455 \n",
- "9 0.155281 \n",
+ "0 1.479584 \n",
+ "1 3.624035 \n",
+ "2 2.764884 \n",
+ "3 1.805612 \n",
+ "4 1.279247 \n",
+ "5 0.734375 \n",
+ "6 0.391815 \n",
+ "7 0.214668 \n",
+ "8 0.175125 \n",
+ "9 0.161015 \n",
"\n",
" neighbors (1 intervening genes) \\\n",
"0 1.0 \n",
"1 9.0 \n",
"2 41.0 \n",
"3 88.0 \n",
- "4 195.0 \n",
- "5 457.0 \n",
- "6 1050.0 \n",
- "7 2394.0 \n",
- "8 3043.0 \n",
- "9 3306.0 \n",
+ "4 196.0 \n",
+ "5 472.0 \n",
+ "6 1082.0 \n",
+ "7 2496.0 \n",
+ "8 3181.0 \n",
+ "9 3455.0 \n",
"\n",
" neighbor (max 1 intervening genes) percentage ... \\\n",
- "0 1.587302 ... \n",
- "1 4.972376 ... \n",
- "2 4.027505 ... \n",
- "3 2.929427 ... \n",
- "4 2.365931 ... \n",
- "5 1.370520 ... \n",
- "6 0.766586 ... \n",
- "7 0.476069 ... \n",
- "8 0.404659 ... \n",
- "9 0.382091 ... \n",
+ "0 1.538462 ... \n",
+ "1 4.736842 ... \n",
+ "2 3.988327 ... \n",
+ "3 2.880524 ... \n",
+ "4 2.346743 ... \n",
+ "5 1.381046 ... \n",
+ "6 0.775305 ... \n",
+ "7 0.484545 ... \n",
+ "8 0.412892 ... \n",
+ "9 0.389173 ... \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
- "0 1.409569 \n",
- "1 4.791398 \n",
- "2 4.546336 \n",
- "3 3.479912 \n",
- "4 2.761979 \n",
- "5 1.587518 \n",
- "6 0.830200 \n",
- "7 0.447752 \n",
- "8 0.352439 \n",
- "9 0.325418 \n",
+ "0 1.361829 \n",
+ "1 4.556315 \n",
+ "2 4.500877 \n",
+ "3 3.420110 \n",
+ "4 2.736209 \n",
+ "5 1.588676 \n",
+ "6 0.838666 \n",
+ "7 0.455504 \n",
+ "8 0.360399 \n",
+ "9 0.332445 \n",
"\n",
" neighbors (3 intervening genes) \\\n",
"0 1.0 \n",
"1 9.0 \n",
"2 51.0 \n",
"3 124.0 \n",
- "4 273.0 \n",
- "5 683.0 \n",
- "6 1669.0 \n",
- "7 3912.0 \n",
- "8 4996.0 \n",
- "9 5455.0 \n",
+ "4 275.0 \n",
+ "5 702.0 \n",
+ "6 1713.0 \n",
+ "7 4040.0 \n",
+ "8 5171.0 \n",
+ "9 5653.0 \n",
"\n",
" neighbor (max 3 intervening genes) percentage \\\n",
- "0 1.587302 \n",
- "1 4.972376 \n",
- "2 5.009823 \n",
- "3 4.127830 \n",
- "4 3.312303 \n",
- "5 2.048283 \n",
- "6 1.218506 \n",
- "7 0.777938 \n",
- "8 0.664369 \n",
- "9 0.630462 \n",
+ "0 1.538462 \n",
+ "1 4.736842 \n",
+ "2 4.961089 \n",
+ "3 4.058920 \n",
+ "4 3.292625 \n",
+ "5 2.054013 \n",
+ "6 1.227447 \n",
+ "7 0.784280 \n",
+ "8 0.671192 \n",
+ "9 0.636757 \n",
"\n",
" cotransfer and neighbor (max 3 intervening genes) \\\n",
"0 NaN \n",
@@ -1682,28 +1669,28 @@
"9 NaN \n",
"\n",
" expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 0.236977 \n",
- "1 0.241304 \n",
- "2 0.225055 \n",
- "3 0.242496 \n",
- "4 0.248445 \n",
- "5 0.246483 \n",
- "6 0.255886 \n",
- "7 0.252524 \n",
- "8 0.250657 \n",
- "9 0.248927 \n",
+ "0 0.235509 \n",
+ "1 0.240703 \n",
+ "2 0.224511 \n",
+ "3 0.240726 \n",
+ "4 0.246997 \n",
+ "5 0.245928 \n",
+ "6 0.255640 \n",
+ "7 0.252522 \n",
+ "8 0.250671 \n",
+ "9 0.248953 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 1.350325 \n",
- "1 4.731072 \n",
- "2 4.784768 \n",
- "3 3.885333 \n",
- "4 3.063857 \n",
- "5 1.801800 \n",
- "6 0.962620 \n",
- "7 0.525414 \n",
- "8 0.413712 \n",
- "9 0.381536 \n",
+ "0 1.302952 \n",
+ "1 4.496139 \n",
+ "2 4.736579 \n",
+ "3 3.818194 \n",
+ "4 3.045628 \n",
+ "5 1.808085 \n",
+ "6 0.971807 \n",
+ "7 0.531758 \n",
+ "8 0.420522 \n",
+ "9 0.387804 \n",
"\n",
" cotransfers cotransfer percentage transfer threshold \n",
"0 NaN NaN 8.00 \n",
@@ -1722,28 +1709,27 @@
},
"metadata": {},
"output_type": "display_data"
- }
- ],
- "source": [
- "# we do the same for the count_mp method but with manual thresholds\n",
- "count_mp_coacquisition_dfs = clsl.load_data(os.path.join(res_dir, 'count_mp'))\n",
- "count_mp_coacquisition_dfs = clsl.calculate_min_transfers(count_mp_coacquisition_dfs)\n",
- "count_mp_cq_summary_df = clsl.summarize_coacquisitions_manual_thresholds(\n",
- " count_mp_coacquisition_dfs,\n",
- " neighbor_genes_between_cutoffs,\n",
- " minimum_genome_size,\n",
- " method='count.mp',\n",
- " min_coacquisitions=min_coacquisitions,\n",
- ")\n",
- "count_mp_cq_summary_df = clsl.replace_zeros_with_nan(count_mp_cq_summary_df)\n",
- "display(count_mp_cq_summary_df)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The following methods are included in the coacquisitions data:\n",
+ "['gloome.mp.0.33', 'gloome.mp.0.5', 'gloome.mp.1', 'gloome.mp.2', 'gloome.mp.3', 'gloome.mp.4', 'gloome.mp.5', 'gloome.mp.6', 'gloome.mp.7', 'gloome.mp.8', 'gloome.mp.without_tree.0.33', 'gloome.mp.without_tree.0.5', 'gloome.mp.without_tree.1', 'gloome.mp.without_tree.2', 'gloome.mp.without_tree.3', 'gloome.mp.without_tree.4', 'gloome.mp.without_tree.5', 'gloome.mp.without_tree.6', 'gloome.mp.without_tree.7', 'gloome.mp.without_tree.8']\n",
+ "Skipping non-numeric threshold value: gloome.mp.8\n",
+ "Skipping non-numeric threshold value: gloome.mp.7\n",
+ "Skipping non-numeric threshold value: gloome.mp.6\n",
+ "Skipping non-numeric threshold value: gloome.mp.5\n",
+ "Skipping non-numeric threshold value: gloome.mp.4\n",
+ "Skipping non-numeric threshold value: gloome.mp.3\n",
+ "Skipping non-numeric threshold value: gloome.mp.2\n",
+ "Skipping non-numeric threshold value: gloome.mp.1\n",
+ "Skipping non-numeric threshold value: gloome.mp.0.5\n",
+ "Skipping non-numeric threshold value: gloome.mp.0.33\n",
+ "Methods in the dataframe: ['gloome.mp.without_tree']\n",
+ "gloome_mp.without_tree coacquisitions summary:\n"
+ ]
+ },
{
"data": {
"text/html": [
@@ -1791,99 +1777,1165 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
- " <td>gloome.ml</td>\n",
- " <td>65</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>9955</td>\n",
+ " <td>81.0</td>\n",
+ " <td>0.813661</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.069084</td>\n",
- " <td>-0.069084</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>0.070220</td>\n",
+ " <td>0.743441</td>\n",
+ " <td>137.0</td>\n",
+ " <td>1.376193</td>\n",
" <td>...</td>\n",
- " <td>-0.207251</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>1.677837</td>\n",
+ " <td>224.0</td>\n",
+ " <td>2.250126</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.276335</td>\n",
- " <td>-0.276335</td>\n",
+ " <td>0.280881</td>\n",
+ " <td>1.969244</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>1.0000</td>\n",
+ " <td>8.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
- " <td>gloome.ml</td>\n",
- " <td>100</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>13019</td>\n",
+ " <td>102.0</td>\n",
+ " <td>0.783470</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.068628</td>\n",
- " <td>-0.068628</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>0.068839</td>\n",
+ " <td>0.714631</td>\n",
+ " <td>163.0</td>\n",
+ " <td>1.252016</td>\n",
" <td>...</td>\n",
- " <td>-0.205884</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
+ " <td>1.460278</td>\n",
+ " <td>256.0</td>\n",
+ " <td>1.966357</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.274513</td>\n",
- " <td>-0.274513</td>\n",
+ " <td>0.275356</td>\n",
+ " <td>1.691001</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.9985</td>\n",
+ " <td>7.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
- " <td>gloome.ml</td>\n",
- " <td>200</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>18467</td>\n",
+ " <td>144.0</td>\n",
+ " <td>0.779769</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.067302</td>\n",
- " <td>0.432698</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
+ " <td>0.068105</td>\n",
+ " <td>0.711664</td>\n",
+ " <td>233.0</td>\n",
+ " <td>1.261710</td>\n",
" <td>...</td>\n",
- " <td>0.298095</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
+ " <td>1.463524</td>\n",
+ " <td>361.0</td>\n",
+ " <td>1.954838</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.269206</td>\n",
- " <td>0.230794</td>\n",
+ " <td>0.272422</td>\n",
+ " <td>1.682417</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.9971</td>\n",
+ " <td>6.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
- " <td>gloome.ml</td>\n",
- " <td>500</td>\n",
- " <td>1.0</td>\n",
- " <td>0.200000</td>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>27745</td>\n",
+ " <td>220.0</td>\n",
+ " <td>0.792936</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.064686</td>\n",
- " <td>0.135314</td>\n",
- " <td>4.0</td>\n",
- " <td>0.800000</td>\n",
+ " <td>0.067583</td>\n",
+ " <td>0.725353</td>\n",
+ " <td>355.0</td>\n",
+ " <td>1.279510</td>\n",
" <td>...</td>\n",
- " <td>0.805943</td>\n",
- " <td>5.0</td>\n",
+ " <td>1.484041</td>\n",
+ " <td>551.0</td>\n",
+ " <td>1.985943</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.270332</td>\n",
+ " <td>1.715611</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>5.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>44737</td>\n",
+ " <td>301.0</td>\n",
+ " <td>0.672821</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.066633</td>\n",
+ " <td>0.606188</td>\n",
+ " <td>496.0</td>\n",
+ " <td>1.108702</td>\n",
+ " <td>...</td>\n",
+ " <td>1.261979</td>\n",
+ " <td>764.0</td>\n",
+ " <td>1.707759</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.266531</td>\n",
+ " <td>1.441228</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>4.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>80043</td>\n",
+ " <td>406.0</td>\n",
+ " <td>0.507227</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.065591</td>\n",
+ " <td>0.441637</td>\n",
+ " <td>674.0</td>\n",
+ " <td>0.842047</td>\n",
+ " <td>...</td>\n",
+ " <td>0.908884</td>\n",
+ " <td>1035.0</td>\n",
+ " <td>1.293055</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.262362</td>\n",
+ " <td>1.030693</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>3.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>167423</td>\n",
+ " <td>671.0</td>\n",
+ " <td>0.400781</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.065288</td>\n",
+ " <td>0.335493</td>\n",
+ " <td>1108.0</td>\n",
+ " <td>0.661797</td>\n",
+ " <td>...</td>\n",
+ " <td>0.672595</td>\n",
+ " <td>1719.0</td>\n",
+ " <td>1.026741</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.261151</td>\n",
+ " <td>0.765589</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>2.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>531461</td>\n",
+ " <td>1386.0</td>\n",
+ " <td>0.260791</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.065963</td>\n",
+ " <td>0.194828</td>\n",
+ " <td>2331.0</td>\n",
+ " <td>0.438602</td>\n",
+ " <td>...</td>\n",
+ " <td>0.385785</td>\n",
+ " <td>3724.0</td>\n",
+ " <td>0.700710</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.263852</td>\n",
+ " <td>0.436858</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>910400</td>\n",
+ " <td>2044.0</td>\n",
+ " <td>0.224517</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.065957</td>\n",
+ " <td>0.158560</td>\n",
+ " <td>3534.0</td>\n",
+ " <td>0.388181</td>\n",
+ " <td>...</td>\n",
+ " <td>0.322011</td>\n",
+ " <td>5794.0</td>\n",
+ " <td>0.636424</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.263827</td>\n",
+ " <td>0.372597</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>gloome.mp.without_tree</td>\n",
+ " <td>1181447</td>\n",
+ " <td>2366.0</td>\n",
+ " <td>0.200263</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.066156</td>\n",
+ " <td>0.134107</td>\n",
+ " <td>4113.0</td>\n",
+ " <td>0.348132</td>\n",
+ " <td>...</td>\n",
+ " <td>0.270194</td>\n",
+ " <td>6828.0</td>\n",
+ " <td>0.577935</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.264625</td>\n",
+ " <td>0.313311</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.33</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>10 rows × 29 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " method coacquisitions with known positions \\\n",
+ "0 gloome.mp.without_tree 9955 \n",
+ "1 gloome.mp.without_tree 13019 \n",
+ "2 gloome.mp.without_tree 18467 \n",
+ "3 gloome.mp.without_tree 27745 \n",
+ "4 gloome.mp.without_tree 44737 \n",
+ "5 gloome.mp.without_tree 80043 \n",
+ "6 gloome.mp.without_tree 167423 \n",
+ "7 gloome.mp.without_tree 531461 \n",
+ "8 gloome.mp.without_tree 910400 \n",
+ "9 gloome.mp.without_tree 1181447 \n",
+ "\n",
+ " neighbors (0 intervening genes) \\\n",
+ "0 81.0 \n",
+ "1 102.0 \n",
+ "2 144.0 \n",
+ "3 220.0 \n",
+ "4 301.0 \n",
+ "5 406.0 \n",
+ "6 671.0 \n",
+ "7 1386.0 \n",
+ "8 2044.0 \n",
+ "9 2366.0 \n",
+ "\n",
+ " neighbor (max 0 intervening genes) percentage \\\n",
+ "0 0.813661 \n",
+ "1 0.783470 \n",
+ "2 0.779769 \n",
+ "3 0.792936 \n",
+ "4 0.672821 \n",
+ "5 0.507227 \n",
+ "6 0.400781 \n",
+ "7 0.260791 \n",
+ "8 0.224517 \n",
+ "9 0.200263 \n",
+ "\n",
+ " cotransfer and neighbor (max 0 intervening genes) \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " cotransfer and neighbor (max 0 intervening genes) percentage \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
+ "0 0.070220 \n",
+ "1 0.068839 \n",
+ "2 0.068105 \n",
+ "3 0.067583 \n",
+ "4 0.066633 \n",
+ "5 0.065591 \n",
+ "6 0.065288 \n",
+ "7 0.065963 \n",
+ "8 0.065957 \n",
+ "9 0.066156 \n",
+ "\n",
+ " observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
+ "0 0.743441 \n",
+ "1 0.714631 \n",
+ "2 0.711664 \n",
+ "3 0.725353 \n",
+ "4 0.606188 \n",
+ "5 0.441637 \n",
+ "6 0.335493 \n",
+ "7 0.194828 \n",
+ "8 0.158560 \n",
+ "9 0.134107 \n",
+ "\n",
+ " neighbors (1 intervening genes) \\\n",
+ "0 137.0 \n",
+ "1 163.0 \n",
+ "2 233.0 \n",
+ "3 355.0 \n",
+ "4 496.0 \n",
+ "5 674.0 \n",
+ "6 1108.0 \n",
+ "7 2331.0 \n",
+ "8 3534.0 \n",
+ "9 4113.0 \n",
+ "\n",
+ " neighbor (max 1 intervening genes) percentage ... \\\n",
+ "0 1.376193 ... \n",
+ "1 1.252016 ... \n",
+ "2 1.261710 ... \n",
+ "3 1.279510 ... \n",
+ "4 1.108702 ... \n",
+ "5 0.842047 ... \n",
+ "6 0.661797 ... \n",
+ "7 0.438602 ... \n",
+ "8 0.388181 ... \n",
+ "9 0.348132 ... \n",
+ "\n",
+ " observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
+ "0 1.677837 \n",
+ "1 1.460278 \n",
+ "2 1.463524 \n",
+ "3 1.484041 \n",
+ "4 1.261979 \n",
+ "5 0.908884 \n",
+ "6 0.672595 \n",
+ "7 0.385785 \n",
+ "8 0.322011 \n",
+ "9 0.270194 \n",
+ "\n",
+ " neighbors (3 intervening genes) \\\n",
+ "0 224.0 \n",
+ "1 256.0 \n",
+ "2 361.0 \n",
+ "3 551.0 \n",
+ "4 764.0 \n",
+ "5 1035.0 \n",
+ "6 1719.0 \n",
+ "7 3724.0 \n",
+ "8 5794.0 \n",
+ "9 6828.0 \n",
+ "\n",
+ " neighbor (max 3 intervening genes) percentage \\\n",
+ "0 2.250126 \n",
+ "1 1.966357 \n",
+ "2 1.954838 \n",
+ "3 1.985943 \n",
+ "4 1.707759 \n",
+ "5 1.293055 \n",
+ "6 1.026741 \n",
+ "7 0.700710 \n",
+ "8 0.636424 \n",
+ "9 0.577935 \n",
+ "\n",
+ " cotransfer and neighbor (max 3 intervening genes) \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " cotransfer and neighbor (max 3 intervening genes) percentage \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
+ "0 0.280881 \n",
+ "1 0.275356 \n",
+ "2 0.272422 \n",
+ "3 0.270332 \n",
+ "4 0.266531 \n",
+ "5 0.262362 \n",
+ "6 0.261151 \n",
+ "7 0.263852 \n",
+ "8 0.263827 \n",
+ "9 0.264625 \n",
+ "\n",
+ " observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
+ "0 1.969244 \n",
+ "1 1.691001 \n",
+ "2 1.682417 \n",
+ "3 1.715611 \n",
+ "4 1.441228 \n",
+ "5 1.030693 \n",
+ "6 0.765589 \n",
+ "7 0.436858 \n",
+ "8 0.372597 \n",
+ "9 0.313311 \n",
+ "\n",
+ " cotransfers cotransfer percentage transfer threshold \n",
+ "0 NaN NaN 8.00 \n",
+ "1 NaN NaN 7.00 \n",
+ "2 NaN NaN 6.00 \n",
+ "3 NaN NaN 5.00 \n",
+ "4 NaN NaN 4.00 \n",
+ "5 NaN NaN 3.00 \n",
+ "6 NaN NaN 2.00 \n",
+ "7 NaN NaN 1.00 \n",
+ "8 NaN NaN 0.50 \n",
+ "9 NaN NaN 0.33 \n",
+ "\n",
+ "[10 rows x 29 columns]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The following methods are included in the coacquisitions data:\n",
+ "['wn', 'wn.4.0', 'wn.5.0', 'wn.7.0', 'wn.6.0', 'wn.13.0', 'wn.10.0', 'wn.8.0', 'wn.12.0', 'wn.11.0', 'wn.9.0']\n",
+ "Skipping non-numeric threshold value: wn\n",
+ "Methods in the dataframe: ['wn']\n",
+ "wn coacquisitions summary:\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\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>method</th>\n",
+ " <th>coacquisitions with known positions</th>\n",
+ " <th>neighbors (0 intervening genes)</th>\n",
+ " <th>neighbor (max 0 intervening genes) percentage</th>\n",
+ " <th>cotransfer and neighbor (max 0 intervening genes)</th>\n",
+ " <th>cotransfer and neighbor (max 0 intervening genes) percentage</th>\n",
+ " <th>expected percentage of neighboring coacquisitions (max 0 intervening genes)</th>\n",
+ " <th>observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes)</th>\n",
+ " <th>neighbors (1 intervening genes)</th>\n",
+ " <th>neighbor (max 1 intervening genes) percentage</th>\n",
+ " <th>...</th>\n",
+ " <th>observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes)</th>\n",
+ " <th>neighbors (3 intervening genes)</th>\n",
+ " <th>neighbor (max 3 intervening genes) percentage</th>\n",
+ " <th>cotransfer and neighbor (max 3 intervening genes)</th>\n",
+ " <th>cotransfer and neighbor (max 3 intervening genes) percentage</th>\n",
+ " <th>expected percentage of neighboring coacquisitions (max 3 intervening genes)</th>\n",
+ " <th>observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes)</th>\n",
+ " <th>cotransfers</th>\n",
+ " <th>cotransfer percentage</th>\n",
+ " <th>transfer threshold</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>wn</td>\n",
+ " <td>32</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.060506</td>\n",
+ " <td>-0.060506</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.181517</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.242022</td>\n",
+ " <td>-0.242022</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>12.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>wn</td>\n",
+ " <td>62</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.612903</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.055362</td>\n",
+ " <td>1.557541</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.612903</td>\n",
+ " <td>...</td>\n",
+ " <td>1.446817</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.612903</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.221449</td>\n",
+ " <td>1.391455</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>13.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>wn</td>\n",
+ " <td>61</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.078703</td>\n",
+ " <td>-0.078703</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.236108</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.314810</td>\n",
+ " <td>-0.314810</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>11.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>wn</td>\n",
+ " <td>113</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.057572</td>\n",
+ " <td>-0.057572</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.884956</td>\n",
+ " <td>...</td>\n",
+ " <td>0.712241</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.884956</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.230286</td>\n",
+ " <td>0.654669</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>10.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>wn</td>\n",
+ " <td>196</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.510204</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.067202</td>\n",
+ " <td>0.443002</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.510204</td>\n",
+ " <td>...</td>\n",
+ " <td>0.818801</td>\n",
+ " <td>2.0</td>\n",
+ " <td>1.020408</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.268809</td>\n",
+ " <td>0.751599</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>9.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>wn</td>\n",
+ " <td>606</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.165017</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.052509</td>\n",
+ " <td>0.112507</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.165017</td>\n",
+ " <td>...</td>\n",
+ " <td>0.007489</td>\n",
+ " <td>4.0</td>\n",
+ " <td>0.660066</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.210037</td>\n",
+ " <td>0.450029</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>8.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>wn</td>\n",
+ " <td>2356</td>\n",
+ " <td>4.0</td>\n",
+ " <td>0.169779</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.057417</td>\n",
+ " <td>0.112362</td>\n",
+ " <td>6.0</td>\n",
+ " <td>0.254669</td>\n",
+ " <td>...</td>\n",
+ " <td>0.209751</td>\n",
+ " <td>9.0</td>\n",
+ " <td>0.382003</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.229669</td>\n",
+ " <td>0.152334</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>7.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>wn</td>\n",
+ " <td>12608</td>\n",
+ " <td>17.0</td>\n",
+ " <td>0.134835</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.046601</td>\n",
+ " <td>0.088234</td>\n",
+ " <td>24.0</td>\n",
+ " <td>0.190355</td>\n",
+ " <td>...</td>\n",
+ " <td>0.137799</td>\n",
+ " <td>42.0</td>\n",
+ " <td>0.333122</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.186404</td>\n",
+ " <td>0.146718</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>6.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>wn</td>\n",
+ " <td>66304</td>\n",
+ " <td>95.0</td>\n",
+ " <td>0.143279</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.055501</td>\n",
+ " <td>0.087779</td>\n",
+ " <td>150.0</td>\n",
+ " <td>0.226231</td>\n",
+ " <td>...</td>\n",
+ " <td>0.121564</td>\n",
+ " <td>230.0</td>\n",
+ " <td>0.346887</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.222004</td>\n",
+ " <td>0.124883</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>5.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>wn</td>\n",
+ " <td>209043</td>\n",
+ " <td>230.0</td>\n",
+ " <td>0.110025</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.056146</td>\n",
+ " <td>0.053879</td>\n",
+ " <td>392.0</td>\n",
+ " <td>0.187521</td>\n",
+ " <td>...</td>\n",
+ " <td>0.087968</td>\n",
+ " <td>660.0</td>\n",
+ " <td>0.315725</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.224585</td>\n",
+ " <td>0.091140</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>4.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>10 rows × 29 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " method coacquisitions with known positions \\\n",
+ "0 wn 32 \n",
+ "1 wn 62 \n",
+ "2 wn 61 \n",
+ "3 wn 113 \n",
+ "4 wn 196 \n",
+ "5 wn 606 \n",
+ "6 wn 2356 \n",
+ "7 wn 12608 \n",
+ "8 wn 66304 \n",
+ "9 wn 209043 \n",
+ "\n",
+ " neighbors (0 intervening genes) \\\n",
+ "0 0.0 \n",
+ "1 1.0 \n",
+ "2 0.0 \n",
+ "3 0.0 \n",
+ "4 1.0 \n",
+ "5 1.0 \n",
+ "6 4.0 \n",
+ "7 17.0 \n",
+ "8 95.0 \n",
+ "9 230.0 \n",
+ "\n",
+ " neighbor (max 0 intervening genes) percentage \\\n",
+ "0 0.000000 \n",
+ "1 1.612903 \n",
+ "2 0.000000 \n",
+ "3 0.000000 \n",
+ "4 0.510204 \n",
+ "5 0.165017 \n",
+ "6 0.169779 \n",
+ "7 0.134835 \n",
+ "8 0.143279 \n",
+ "9 0.110025 \n",
+ "\n",
+ " cotransfer and neighbor (max 0 intervening genes) \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " cotransfer and neighbor (max 0 intervening genes) percentage \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
+ "0 0.060506 \n",
+ "1 0.055362 \n",
+ "2 0.078703 \n",
+ "3 0.057572 \n",
+ "4 0.067202 \n",
+ "5 0.052509 \n",
+ "6 0.057417 \n",
+ "7 0.046601 \n",
+ "8 0.055501 \n",
+ "9 0.056146 \n",
+ "\n",
+ " observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
+ "0 -0.060506 \n",
+ "1 1.557541 \n",
+ "2 -0.078703 \n",
+ "3 -0.057572 \n",
+ "4 0.443002 \n",
+ "5 0.112507 \n",
+ "6 0.112362 \n",
+ "7 0.088234 \n",
+ "8 0.087779 \n",
+ "9 0.053879 \n",
+ "\n",
+ " neighbors (1 intervening genes) \\\n",
+ "0 0.0 \n",
+ "1 1.0 \n",
+ "2 0.0 \n",
+ "3 1.0 \n",
+ "4 1.0 \n",
+ "5 1.0 \n",
+ "6 6.0 \n",
+ "7 24.0 \n",
+ "8 150.0 \n",
+ "9 392.0 \n",
+ "\n",
+ " neighbor (max 1 intervening genes) percentage ... \\\n",
+ "0 0.000000 ... \n",
+ "1 1.612903 ... \n",
+ "2 0.000000 ... \n",
+ "3 0.884956 ... \n",
+ "4 0.510204 ... \n",
+ "5 0.165017 ... \n",
+ "6 0.254669 ... \n",
+ "7 0.190355 ... \n",
+ "8 0.226231 ... \n",
+ "9 0.187521 ... \n",
+ "\n",
+ " observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
+ "0 -0.181517 \n",
+ "1 1.446817 \n",
+ "2 -0.236108 \n",
+ "3 0.712241 \n",
+ "4 0.818801 \n",
+ "5 0.007489 \n",
+ "6 0.209751 \n",
+ "7 0.137799 \n",
+ "8 0.121564 \n",
+ "9 0.087968 \n",
+ "\n",
+ " neighbors (3 intervening genes) \\\n",
+ "0 0.0 \n",
+ "1 1.0 \n",
+ "2 0.0 \n",
+ "3 1.0 \n",
+ "4 2.0 \n",
+ "5 4.0 \n",
+ "6 9.0 \n",
+ "7 42.0 \n",
+ "8 230.0 \n",
+ "9 660.0 \n",
+ "\n",
+ " neighbor (max 3 intervening genes) percentage \\\n",
+ "0 0.000000 \n",
+ "1 1.612903 \n",
+ "2 0.000000 \n",
+ "3 0.884956 \n",
+ "4 1.020408 \n",
+ "5 0.660066 \n",
+ "6 0.382003 \n",
+ "7 0.333122 \n",
+ "8 0.346887 \n",
+ "9 0.315725 \n",
+ "\n",
+ " cotransfer and neighbor (max 3 intervening genes) \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " cotransfer and neighbor (max 3 intervening genes) percentage \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ "5 NaN \n",
+ "6 NaN \n",
+ "7 NaN \n",
+ "8 NaN \n",
+ "9 NaN \n",
+ "\n",
+ " expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
+ "0 0.242022 \n",
+ "1 0.221449 \n",
+ "2 0.314810 \n",
+ "3 0.230286 \n",
+ "4 0.268809 \n",
+ "5 0.210037 \n",
+ "6 0.229669 \n",
+ "7 0.186404 \n",
+ "8 0.222004 \n",
+ "9 0.224585 \n",
+ "\n",
+ " observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
+ "0 -0.242022 \n",
+ "1 1.391455 \n",
+ "2 -0.314810 \n",
+ "3 0.654669 \n",
+ "4 0.751599 \n",
+ "5 0.450029 \n",
+ "6 0.152334 \n",
+ "7 0.146718 \n",
+ "8 0.124883 \n",
+ "9 0.091140 \n",
+ "\n",
+ " cotransfers cotransfer percentage transfer threshold \n",
+ "0 NaN NaN 12.0 \n",
+ "1 NaN NaN 13.0 \n",
+ "2 NaN NaN 11.0 \n",
+ "3 NaN NaN 10.0 \n",
+ "4 NaN NaN 9.0 \n",
+ "5 NaN NaN 8.0 \n",
+ "6 NaN NaN 7.0 \n",
+ "7 NaN NaN 6.0 \n",
+ "8 NaN NaN 5.0 \n",
+ "9 NaN NaN 4.0 \n",
+ "\n",
+ "[10 rows x 29 columns]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# for wn, we prepared the coacquisitions.wn.tsv file but the transfer thresholds correspond to discrete stringency levels\n",
+ "# so we need to convert the coacquisitions.wn.tsv file to a set of files, one for each stringency level\n",
+ "# each file will contain the coacquisitions for the corresponding stringency level\n",
+ "# the files will be named coacquisitions.wn.<stringency>.tsv\n",
+ "wn_coacquisitions_filepath = os.path.join(res_dir, 'wn', 'coacquisitions.wn.tsv')\n",
+ "wn_coacquisitions_df = pd.read_csv(wn_coacquisitions_filepath, sep='\\t')\n",
+ "# the min of 'nog1_transfers' and 'nog2_transfers' is the stringency level\n",
+ "wn_coacquisitions_df['stringency'] = wn_coacquisitions_df[['nog1_transfers', 'nog2_transfers']].min(axis=1)\n",
+ "# keep only rows where gene positions are available\n",
+ "wn_coacquisitions_df = wn_coacquisitions_df[wn_coacquisitions_df['notes'] == 'gene_positions_are_available']\n",
+ "wn_dir = os.path.join(res_dir, 'wn')\n",
+ "os.makedirs(wn_dir, exist_ok=True)\n",
+ "for stringency in wn_coacquisitions_df['stringency'].unique():\n",
+ " stringency_coacquisitions_df = wn_coacquisitions_df[wn_coacquisitions_df['stringency'] == stringency]\n",
+ " stringency_coacquisitions_df.to_csv(os.path.join(wn_dir, f'coacquisitions.wn.{stringency}.tsv'), sep='\\t', index=False)\n",
+ "\n",
+ "###########################################################################################################################\n",
+ "\n",
+ "methods_for_manual_thresholds = ['count_mp', 'gloome_mp', 'gloome_mp.without_tree', 'wn']\n",
+ "manual_threshold_coacquisitions_dfs = {}\n",
+ "for method in methods_for_manual_thresholds:\n",
+ " # load the data\n",
+ " manual_threshold_coacquisitions_dfs[method] = clsl.load_data(\n",
+ " os.path.join(res_dir, method.split('.')[0]), include_manual_thresholds=True\n",
+ " )\n",
+ " # calculate the minimum number of transfers\n",
+ " manual_threshold_coacquisitions_dfs[method] = clsl.calculate_min_transfers(\n",
+ " manual_threshold_coacquisitions_dfs[method]\n",
+ " )\n",
+ " # summarize the coacquisitions\n",
+ " manual_threshold_coacquisitions_dfs[method] = clsl.summarize_coacquisitions_manual_thresholds(\n",
+ " manual_threshold_coacquisitions_dfs[method],\n",
+ " neighbor_genes_between_cutoffs,\n",
+ " minimum_genome_size,\n",
+ " method=method.replace('_', '.', 1),\n",
+ " min_coacquisitions=min_coacquisitions,\n",
+ " )\n",
+ " # replace zeros with NaNs\n",
+ " manual_threshold_coacquisitions_dfs[method] = clsl.replace_zeros_with_nan(\n",
+ " manual_threshold_coacquisitions_dfs[method]\n",
+ " )\n",
+ " # display the summary\n",
+ " print(f'{method} coacquisitions summary:')\n",
+ " display(manual_threshold_coacquisitions_dfs[method])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
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+ " vertical-align: middle;\n",
+ " }\n",
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+ " 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>method</th>\n",
+ " <th>coacquisitions with known positions</th>\n",
+ " <th>neighbors (0 intervening genes)</th>\n",
+ " <th>neighbor (max 0 intervening genes) percentage</th>\n",
+ " <th>cotransfer and neighbor (max 0 intervening genes)</th>\n",
+ " <th>cotransfer and neighbor (max 0 intervening genes) percentage</th>\n",
+ " <th>expected percentage of neighboring coacquisitions (max 0 intervening genes)</th>\n",
+ " <th>observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes)</th>\n",
+ " <th>neighbors (1 intervening genes)</th>\n",
+ " <th>neighbor (max 1 intervening genes) percentage</th>\n",
+ " <th>...</th>\n",
+ " <th>observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes)</th>\n",
+ " <th>neighbors (3 intervening genes)</th>\n",
+ " <th>neighbor (max 3 intervening genes) percentage</th>\n",
+ " <th>cotransfer and neighbor (max 3 intervening genes)</th>\n",
+ " <th>cotransfer and neighbor (max 3 intervening genes) percentage</th>\n",
+ " <th>expected percentage of neighboring coacquisitions (max 3 intervening genes)</th>\n",
+ " <th>observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes)</th>\n",
+ " <th>cotransfers</th>\n",
+ " <th>cotransfer percentage</th>\n",
+ " <th>transfer threshold</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>gloome.ml</td>\n",
+ " <td>76</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.069370</td>\n",
+ " <td>-0.069370</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.208109</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.277479</td>\n",
+ " <td>-0.277479</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1.0000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>gloome.ml</td>\n",
+ " <td>100</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.069475</td>\n",
+ " <td>-0.069475</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.208424</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.277899</td>\n",
+ " <td>-0.277899</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.9988</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>gloome.ml</td>\n",
+ " <td>200</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.500000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.067832</td>\n",
+ " <td>0.432168</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.500000</td>\n",
+ " <td>...</td>\n",
+ " <td>0.296503</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.500000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.271329</td>\n",
+ " <td>0.228671</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.9970</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>gloome.ml</td>\n",
+ " <td>500</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.200000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.064918</td>\n",
+ " <td>0.135082</td>\n",
+ " <td>4.0</td>\n",
+ " <td>0.800000</td>\n",
+ " <td>...</td>\n",
+ " <td>0.805246</td>\n",
+ " <td>5.0</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.258742</td>\n",
- " <td>0.741258</td>\n",
+ " <td>0.259672</td>\n",
+ " <td>0.740328</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.9915</td>\n",
+ " <td>0.9908</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
@@ -1893,18 +2945,18 @@
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.059063</td>\n",
- " <td>0.940937</td>\n",
+ " <td>0.059354</td>\n",
+ " <td>0.940646</td>\n",
" <td>15.0</td>\n",
" <td>1.500000</td>\n",
" <td>...</td>\n",
- " <td>1.522811</td>\n",
+ " <td>1.521937</td>\n",
" <td>17.0</td>\n",
" <td>1.700000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.236252</td>\n",
- " <td>1.463748</td>\n",
+ " <td>0.237417</td>\n",
+ " <td>1.462583</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.9871</td>\n",
@@ -1934,353 +2986,353 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>89</th>\n",
- " <td>count.mp</td>\n",
- " <td>33345</td>\n",
- " <td>264.0</td>\n",
- " <td>0.791723</td>\n",
+ " <th>117</th>\n",
+ " <td>wn</td>\n",
+ " <td>606</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.165017</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.061621</td>\n",
- " <td>0.730102</td>\n",
- " <td>457.0</td>\n",
- " <td>1.370520</td>\n",
+ " <td>0.052509</td>\n",
+ " <td>0.112507</td>\n",
+ " <td>1.0</td>\n",
+ " <td>0.165017</td>\n",
" <td>...</td>\n",
- " <td>1.587518</td>\n",
- " <td>683.0</td>\n",
- " <td>2.048283</td>\n",
+ " <td>0.007489</td>\n",
+ " <td>4.0</td>\n",
+ " <td>0.660066</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.246483</td>\n",
- " <td>1.801800</td>\n",
+ " <td>0.210037</td>\n",
+ " <td>0.450029</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>3.0000</td>\n",
+ " <td>8.0000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>90</th>\n",
- " <td>count.mp</td>\n",
- " <td>136971</td>\n",
- " <td>617.0</td>\n",
- " <td>0.450460</td>\n",
+ " <th>118</th>\n",
+ " <td>wn</td>\n",
+ " <td>2356</td>\n",
+ " <td>4.0</td>\n",
+ " <td>0.169779</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.063971</td>\n",
- " <td>0.386489</td>\n",
- " <td>1050.0</td>\n",
- " <td>0.766586</td>\n",
+ " <td>0.057417</td>\n",
+ " <td>0.112362</td>\n",
+ " <td>6.0</td>\n",
+ " <td>0.254669</td>\n",
" <td>...</td>\n",
- " <td>0.830200</td>\n",
- " <td>1669.0</td>\n",
- " <td>1.218506</td>\n",
+ " <td>0.209751</td>\n",
+ " <td>9.0</td>\n",
+ " <td>0.382003</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.255886</td>\n",
- " <td>0.962620</td>\n",
+ " <td>0.229669</td>\n",
+ " <td>0.152334</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>2.0000</td>\n",
+ " <td>7.0000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>91</th>\n",
- " <td>count.mp</td>\n",
- " <td>502868</td>\n",
- " <td>1361.0</td>\n",
- " <td>0.270648</td>\n",
+ " <th>119</th>\n",
+ " <td>wn</td>\n",
+ " <td>12608</td>\n",
+ " <td>17.0</td>\n",
+ " <td>0.134835</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.063131</td>\n",
- " <td>0.207517</td>\n",
- " <td>2394.0</td>\n",
- " <td>0.476069</td>\n",
+ " <td>0.046601</td>\n",
+ " <td>0.088234</td>\n",
+ " <td>24.0</td>\n",
+ " <td>0.190355</td>\n",
" <td>...</td>\n",
- " <td>0.447752</td>\n",
- " <td>3912.0</td>\n",
- " <td>0.777938</td>\n",
+ " <td>0.137799</td>\n",
+ " <td>42.0</td>\n",
+ " <td>0.333122</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.252524</td>\n",
- " <td>0.525414</td>\n",
+ " <td>0.186404</td>\n",
+ " <td>0.146718</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>1.0000</td>\n",
+ " <td>6.0000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>92</th>\n",
- " <td>count.mp</td>\n",
- " <td>751992</td>\n",
- " <td>1738.0</td>\n",
- " <td>0.231119</td>\n",
+ " <th>120</th>\n",
+ " <td>wn</td>\n",
+ " <td>66304</td>\n",
+ " <td>95.0</td>\n",
+ " <td>0.143279</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.062664</td>\n",
- " <td>0.168455</td>\n",
- " <td>3043.0</td>\n",
- " <td>0.404659</td>\n",
+ " <td>0.055501</td>\n",
+ " <td>0.087779</td>\n",
+ " <td>150.0</td>\n",
+ " <td>0.226231</td>\n",
" <td>...</td>\n",
- " <td>0.352439</td>\n",
- " <td>4996.0</td>\n",
- " <td>0.664369</td>\n",
+ " <td>0.121564</td>\n",
+ " <td>230.0</td>\n",
+ " <td>0.346887</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.250657</td>\n",
- " <td>0.413712</td>\n",
+ " <td>0.222004</td>\n",
+ " <td>0.124883</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.5000</td>\n",
+ " <td>5.0000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>93</th>\n",
- " <td>count.mp</td>\n",
- " <td>865238</td>\n",
- " <td>1882.0</td>\n",
- " <td>0.217512</td>\n",
+ " <th>121</th>\n",
+ " <td>wn</td>\n",
+ " <td>209043</td>\n",
+ " <td>230.0</td>\n",
+ " <td>0.110025</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.062232</td>\n",
- " <td>0.155281</td>\n",
- " <td>3306.0</td>\n",
- " <td>0.382091</td>\n",
+ " <td>0.056146</td>\n",
+ " <td>0.053879</td>\n",
+ " <td>392.0</td>\n",
+ " <td>0.187521</td>\n",
" <td>...</td>\n",
- " <td>0.325418</td>\n",
- " <td>5455.0</td>\n",
- " <td>0.630462</td>\n",
+ " <td>0.087968</td>\n",
+ " <td>660.0</td>\n",
+ " <td>0.315725</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.248927</td>\n",
- " <td>0.381536</td>\n",
+ " <td>0.224585</td>\n",
+ " <td>0.091140</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
- " <td>0.3300</td>\n",
+ " <td>4.0000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>94 rows × 29 columns</p>\n",
+ "<p>122 rows × 29 columns</p>\n",
"</div>"
],
"text/plain": [
- " method coacquisitions with known positions \\\n",
- "0 gloome.ml 65 \n",
- "1 gloome.ml 100 \n",
- "2 gloome.ml 200 \n",
- "3 gloome.ml 500 \n",
- "4 gloome.ml 1000 \n",
- ".. ... ... \n",
- "89 count.mp 33345 \n",
- "90 count.mp 136971 \n",
- "91 count.mp 502868 \n",
- "92 count.mp 751992 \n",
- "93 count.mp 865238 \n",
- "\n",
- " neighbors (0 intervening genes) \\\n",
- "0 0.0 \n",
- "1 0.0 \n",
- "2 1.0 \n",
- "3 1.0 \n",
- "4 10.0 \n",
- ".. ... \n",
- "89 264.0 \n",
- "90 617.0 \n",
- "91 1361.0 \n",
- "92 1738.0 \n",
- "93 1882.0 \n",
- "\n",
- " neighbor (max 0 intervening genes) percentage \\\n",
- "0 0.000000 \n",
- "1 0.000000 \n",
- "2 0.500000 \n",
- "3 0.200000 \n",
- "4 1.000000 \n",
- ".. ... \n",
- "89 0.791723 \n",
- "90 0.450460 \n",
- "91 0.270648 \n",
- "92 0.231119 \n",
- "93 0.217512 \n",
- "\n",
- " cotransfer and neighbor (max 0 intervening genes) \\\n",
- "0 NaN \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- ".. ... \n",
- "89 NaN \n",
- "90 NaN \n",
- "91 NaN \n",
- "92 NaN \n",
- "93 NaN \n",
+ " method coacquisitions with known positions \\\n",
+ "0 gloome.ml 76 \n",
+ "1 gloome.ml 100 \n",
+ "2 gloome.ml 200 \n",
+ "3 gloome.ml 500 \n",
+ "4 gloome.ml 1000 \n",
+ ".. ... ... \n",
+ "117 wn 606 \n",
+ "118 wn 2356 \n",
+ "119 wn 12608 \n",
+ "120 wn 66304 \n",
+ "121 wn 209043 \n",
"\n",
- " cotransfer and neighbor (max 0 intervening genes) percentage \\\n",
- "0 NaN \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- ".. ... \n",
- "89 NaN \n",
- "90 NaN \n",
- "91 NaN \n",
- "92 NaN \n",
- "93 NaN \n",
+ " neighbors (0 intervening genes) \\\n",
+ "0 0.0 \n",
+ "1 0.0 \n",
+ "2 1.0 \n",
+ "3 1.0 \n",
+ "4 10.0 \n",
+ ".. ... \n",
+ "117 1.0 \n",
+ "118 4.0 \n",
+ "119 17.0 \n",
+ "120 95.0 \n",
+ "121 230.0 \n",
"\n",
- " expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 0.069084 \n",
- "1 0.068628 \n",
- "2 0.067302 \n",
- "3 0.064686 \n",
- "4 0.059063 \n",
- ".. ... \n",
- "89 0.061621 \n",
- "90 0.063971 \n",
- "91 0.063131 \n",
- "92 0.062664 \n",
- "93 0.062232 \n",
+ " neighbor (max 0 intervening genes) percentage \\\n",
+ "0 0.000000 \n",
+ "1 0.000000 \n",
+ "2 0.500000 \n",
+ "3 0.200000 \n",
+ "4 1.000000 \n",
+ ".. ... \n",
+ "117 0.165017 \n",
+ "118 0.169779 \n",
+ "119 0.134835 \n",
+ "120 0.143279 \n",
+ "121 0.110025 \n",
"\n",
- " observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "0 -0.069084 \n",
- "1 -0.068628 \n",
- "2 0.432698 \n",
- "3 0.135314 \n",
- "4 0.940937 \n",
- ".. ... \n",
- "89 0.730102 \n",
- "90 0.386489 \n",
- "91 0.207517 \n",
- "92 0.168455 \n",
- "93 0.155281 \n",
+ " cotransfer and neighbor (max 0 intervening genes) \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ ".. ... \n",
+ "117 NaN \n",
+ "118 NaN \n",
+ "119 NaN \n",
+ "120 NaN \n",
+ "121 NaN \n",
"\n",
- " neighbors (1 intervening genes) \\\n",
- "0 0.0 \n",
- "1 0.0 \n",
- "2 1.0 \n",
- "3 4.0 \n",
- "4 15.0 \n",
- ".. ... \n",
- "89 457.0 \n",
- "90 1050.0 \n",
- "91 2394.0 \n",
- "92 3043.0 \n",
- "93 3306.0 \n",
+ " cotransfer and neighbor (max 0 intervening genes) percentage \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ ".. ... \n",
+ "117 NaN \n",
+ "118 NaN \n",
+ "119 NaN \n",
+ "120 NaN \n",
+ "121 NaN \n",
"\n",
- " neighbor (max 1 intervening genes) percentage ... \\\n",
- "0 0.000000 ... \n",
- "1 0.000000 ... \n",
- "2 0.500000 ... \n",
- "3 0.800000 ... \n",
- "4 1.500000 ... \n",
- ".. ... ... \n",
- "89 1.370520 ... \n",
- "90 0.766586 ... \n",
- "91 0.476069 ... \n",
- "92 0.404659 ... \n",
- "93 0.382091 ... \n",
+ " expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
+ "0 0.069370 \n",
+ "1 0.069475 \n",
+ "2 0.067832 \n",
+ "3 0.064918 \n",
+ "4 0.059354 \n",
+ ".. ... \n",
+ "117 0.052509 \n",
+ "118 0.057417 \n",
+ "119 0.046601 \n",
+ "120 0.055501 \n",
+ "121 0.056146 \n",
"\n",
- " observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
- "0 -0.207251 \n",
- "1 -0.205884 \n",
- "2 0.298095 \n",
- "3 0.805943 \n",
- "4 1.522811 \n",
- ".. ... \n",
- "89 1.587518 \n",
- "90 0.830200 \n",
- "91 0.447752 \n",
- "92 0.352439 \n",
- "93 0.325418 \n",
+ " observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
+ "0 -0.069370 \n",
+ "1 -0.069475 \n",
+ "2 0.432168 \n",
+ "3 0.135082 \n",
+ "4 0.940646 \n",
+ ".. ... \n",
+ "117 0.112507 \n",
+ "118 0.112362 \n",
+ "119 0.088234 \n",
+ "120 0.087779 \n",
+ "121 0.053879 \n",
"\n",
- " neighbors (3 intervening genes) \\\n",
- "0 0.0 \n",
- "1 0.0 \n",
- "2 1.0 \n",
- "3 5.0 \n",
- "4 17.0 \n",
- ".. ... \n",
- "89 683.0 \n",
- "90 1669.0 \n",
- "91 3912.0 \n",
- "92 4996.0 \n",
- "93 5455.0 \n",
+ " neighbors (1 intervening genes) \\\n",
+ "0 0.0 \n",
+ "1 0.0 \n",
+ "2 1.0 \n",
+ "3 4.0 \n",
+ "4 15.0 \n",
+ ".. ... \n",
+ "117 1.0 \n",
+ "118 6.0 \n",
+ "119 24.0 \n",
+ "120 150.0 \n",
+ "121 392.0 \n",
"\n",
- " neighbor (max 3 intervening genes) percentage \\\n",
- "0 0.000000 \n",
- "1 0.000000 \n",
- "2 0.500000 \n",
- "3 1.000000 \n",
- "4 1.700000 \n",
- ".. ... \n",
- "89 2.048283 \n",
- "90 1.218506 \n",
- "91 0.777938 \n",
- "92 0.664369 \n",
- "93 0.630462 \n",
+ " neighbor (max 1 intervening genes) percentage ... \\\n",
+ "0 0.000000 ... \n",
+ "1 0.000000 ... \n",
+ "2 0.500000 ... \n",
+ "3 0.800000 ... \n",
+ "4 1.500000 ... \n",
+ ".. ... ... \n",
+ "117 0.165017 ... \n",
+ "118 0.254669 ... \n",
+ "119 0.190355 ... \n",
+ "120 0.226231 ... \n",
+ "121 0.187521 ... \n",
"\n",
- " cotransfer and neighbor (max 3 intervening genes) \\\n",
- "0 NaN \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- ".. ... \n",
- "89 NaN \n",
- "90 NaN \n",
- "91 NaN \n",
- "92 NaN \n",
- "93 NaN \n",
+ " observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
+ "0 -0.208109 \n",
+ "1 -0.208424 \n",
+ "2 0.296503 \n",
+ "3 0.805246 \n",
+ "4 1.521937 \n",
+ ".. ... \n",
+ "117 0.007489 \n",
+ "118 0.209751 \n",
+ "119 0.137799 \n",
+ "120 0.121564 \n",
+ "121 0.087968 \n",
"\n",
- " cotransfer and neighbor (max 3 intervening genes) percentage \\\n",
- "0 NaN \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- ".. ... \n",
- "89 NaN \n",
- "90 NaN \n",
- "91 NaN \n",
- "92 NaN \n",
- "93 NaN \n",
+ " neighbors (3 intervening genes) \\\n",
+ "0 0.0 \n",
+ "1 0.0 \n",
+ "2 1.0 \n",
+ "3 5.0 \n",
+ "4 17.0 \n",
+ ".. ... \n",
+ "117 4.0 \n",
+ "118 9.0 \n",
+ "119 42.0 \n",
+ "120 230.0 \n",
+ "121 660.0 \n",
"\n",
- " expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 0.276335 \n",
- "1 0.274513 \n",
- "2 0.269206 \n",
- "3 0.258742 \n",
- "4 0.236252 \n",
- ".. ... \n",
- "89 0.246483 \n",
- "90 0.255886 \n",
- "91 0.252524 \n",
- "92 0.250657 \n",
- "93 0.248927 \n",
+ " neighbor (max 3 intervening genes) percentage \\\n",
+ "0 0.000000 \n",
+ "1 0.000000 \n",
+ "2 0.500000 \n",
+ "3 1.000000 \n",
+ "4 1.700000 \n",
+ ".. ... \n",
+ "117 0.660066 \n",
+ "118 0.382003 \n",
+ "119 0.333122 \n",
+ "120 0.346887 \n",
+ "121 0.315725 \n",
"\n",
- " observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "0 -0.276335 \n",
- "1 -0.274513 \n",
- "2 0.230794 \n",
- "3 0.741258 \n",
- "4 1.463748 \n",
- ".. ... \n",
- "89 1.801800 \n",
- "90 0.962620 \n",
- "91 0.525414 \n",
- "92 0.413712 \n",
- "93 0.381536 \n",
+ " cotransfer and neighbor (max 3 intervening genes) \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ ".. ... \n",
+ "117 NaN \n",
+ "118 NaN \n",
+ "119 NaN \n",
+ "120 NaN \n",
+ "121 NaN \n",
"\n",
- " cotransfers cotransfer percentage transfer threshold \n",
- "0 NaN NaN 1.0000 \n",
- "1 NaN NaN 0.9985 \n",
- "2 NaN NaN 0.9971 \n",
- "3 NaN NaN 0.9915 \n",
- "4 NaN NaN 0.9871 \n",
- ".. ... ... ... \n",
- "89 NaN NaN 3.0000 \n",
- "90 NaN NaN 2.0000 \n",
- "91 NaN NaN 1.0000 \n",
- "92 NaN NaN 0.5000 \n",
- "93 NaN NaN 0.3300 \n",
+ " cotransfer and neighbor (max 3 intervening genes) percentage \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ ".. ... \n",
+ "117 NaN \n",
+ "118 NaN \n",
+ "119 NaN \n",
+ "120 NaN \n",
+ "121 NaN \n",
+ "\n",
+ " expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
+ "0 0.277479 \n",
+ "1 0.277899 \n",
+ "2 0.271329 \n",
+ "3 0.259672 \n",
+ "4 0.237417 \n",
+ ".. ... \n",
+ "117 0.210037 \n",
+ "118 0.229669 \n",
+ "119 0.186404 \n",
+ "120 0.222004 \n",
+ "121 0.224585 \n",
"\n",
- "[94 rows x 29 columns]"
+ " observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
+ "0 -0.277479 \n",
+ "1 -0.277899 \n",
+ "2 0.228671 \n",
+ "3 0.740328 \n",
+ "4 1.462583 \n",
+ ".. ... \n",
+ "117 0.450029 \n",
+ "118 0.152334 \n",
+ "119 0.146718 \n",
+ "120 0.124883 \n",
+ "121 0.091140 \n",
+ "\n",
+ " cotransfers cotransfer percentage transfer threshold \n",
+ "0 NaN NaN 1.0000 \n",
+ "1 NaN NaN 0.9988 \n",
+ "2 NaN NaN 0.9970 \n",
+ "3 NaN NaN 0.9908 \n",
+ "4 NaN NaN 0.9871 \n",
+ ".. ... ... ... \n",
+ "117 NaN NaN 8.0000 \n",
+ "118 NaN NaN 7.0000 \n",
+ "119 NaN NaN 6.0000 \n",
+ "120 NaN NaN 5.0000 \n",
+ "121 NaN NaN 4.0000 \n",
+ "\n",
+ "[122 rows x 29 columns]"
]
},
"metadata": {},
@@ -2289,11 +3341,20 @@
],
"source": [
"# combine all these dataframes into one\n",
- "coacquisitions_summary_df = clsl.combine_coacquisitions_summary_records([coacquisitions_summary_df, wn_coacquisitions_summary_df])\n",
- "coacquisitions_summary_df = clsl.combine_coacquisitions_summary_records([coacquisitions_summary_df, count_mp_cq_summary_df])\n",
+ "# coacquisitions_summary_df = clsl.combine_coacquisitions_summary_records([coacquisitions_summary_df, wn_coacquisitions_summary_df])\n",
+ "# coacquisitions_summary_df = clsl.combine_coacquisitions_summary_records([coacquisitions_summary_df, count_mp_cq_summary_df])\n",
+ "for method in methods_for_manual_thresholds:\n",
+ " coacquisitions_summary_df = clsl.combine_coacquisitions_summary_records(\n",
+ " [coacquisitions_summary_df, manual_threshold_coacquisitions_dfs[method]] # type: ignore\n",
+ " )\n",
"# drop duplicate rows\n",
- "coacquisitions_summary_df = coacquisitions_summary_df.drop_duplicates()\n",
+ "coacquisitions_summary_df = coacquisitions_summary_df.drop_duplicates() # type: ignore\n",
"display(coacquisitions_summary_df)\n",
+ "# sort the dataframe by method and 'coacquisitions with known positions'\n",
+ "coacquisitions_summary_df = coacquisitions_summary_df.sort_values(\n",
+ " by=['method', 'coacquisitions with known positions'],\n",
+ " ascending=[True, True]\n",
+ ")\n",
"# save the combined dataframe\n",
"coacquisitions_summary_df.to_csv(\n",
" os.path.join(res_dir, \"summary_coacquisitions_by_threshold_and_neighbors.tsv\"),\n",
@@ -2301,6 +3362,28 @@
")"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['ale', 'angst', 'count.ml', 'count.mp', 'gloome.ml',\n",
+ " 'gloome.ml.without_tree', 'gloome.mp', 'gloome.mp.without_tree',\n",
+ " 'ranger', 'ranger-fast', 'wn'], dtype=object)"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "coacquisitions_summary_df['method'].unique() # methods included"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -2329,7 +3412,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -2340,7 +3423,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -2382,40 +3465,39 @@
{
"hoverinfo": "text",
"hovertext": [
- "gloome.ml<br>coacquisitions with known positions: 200<br>neighbor (max 0 intervening genes) percentage: 0.5<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>transfer threshold: 0.9971",
- "gloome.ml<br>coacquisitions with known positions: 500<br>neighbor (max 0 intervening genes) percentage: 0.2<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>transfer threshold: 0.9915",
- "gloome.ml<br>coacquisitions with known positions: 1000<br>neighbor (max 0 intervening genes) percentage: 1.0<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>transfer threshold: 0.9871",
- "gloome.ml<br>coacquisitions with known positions: 2000<br>neighbor (max 0 intervening genes) percentage: 1.05<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>transfer threshold: 0.9774",
- "gloome.ml<br>coacquisitions with known positions: 5000<br>neighbor (max 0 intervening genes) percentage: 1.14<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>transfer threshold: 0.9573",
- "gloome.ml<br>coacquisitions with known positions: 10000<br>neighbor (max 0 intervening genes) percentage: 1.12<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>transfer threshold: 0.9265",
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+ "ale<br>coacquisitions with known positions: 5000<br>cotransfer and neighbor (max 0 intervening genes): 9.0<br>cotransfer and neighbor (max 0 intervening genes) percentage: 0.18<br>cotransfer and neighbor (max 1 intervening genes): 10.0<br>cotransfer and neighbor (max 1 intervening genes) percentage: 0.2<br>cotransfer and neighbor (max 2 intervening genes): 14.0<br>cotransfer and neighbor (max 2 intervening genes) percentage: 0.28<br>cotransfer and neighbor (max 3 intervening genes): 17.0<br>cotransfer and neighbor (max 3 intervening genes) percentage: 0.34<br>cotransfers: 641.0<br>cotransfer percentage: 12.82<br>transfer threshold: 0.69",
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- "ale<br>coacquisitions with known positions: 20<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>cotransfer and neighbor (max 1 intervening genes): nan<br>cotransfer and neighbor (max 1 intervening genes) percentage: nan<br>cotransfer and neighbor (max 2 intervening genes): nan<br>cotransfer and neighbor (max 2 intervening genes) percentage: nan<br>cotransfer and neighbor (max 3 intervening genes): nan<br>cotransfer and neighbor (max 3 intervening genes) percentage: nan<br>cotransfers: 8.0<br>cotransfer percentage: 40.0<br>transfer threshold: 0.97",
- "ale<br>coacquisitions with known positions: 50<br>cotransfer and neighbor (max 0 intervening genes): nan<br>cotransfer and neighbor (max 0 intervening genes) percentage: nan<br>cotransfer and neighbor (max 1 intervening genes): nan<br>cotransfer and neighbor (max 1 intervening genes) percentage: nan<br>cotransfer and neighbor (max 2 intervening genes): nan<br>cotransfer and neighbor (max 2 intervening genes) percentage: nan<br>cotransfer and neighbor (max 3 intervening genes): nan<br>cotransfer and neighbor (max 3 intervening genes) percentage: nan<br>cotransfers: 20.0<br>cotransfer percentage: 40.0<br>transfer threshold: 0.95",
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- "ale<br>coacquisitions with known positions: 2000<br>cotransfer and neighbor (max 0 intervening genes): 2.0<br>cotransfer and neighbor (max 0 intervening genes) percentage: 0.1<br>cotransfer and neighbor (max 1 intervening genes): 2.0<br>cotransfer and neighbor (max 1 intervening genes) percentage: 0.1<br>cotransfer and neighbor (max 2 intervening genes): 2.0<br>cotransfer and neighbor (max 2 intervening genes) percentage: 0.1<br>cotransfer and neighbor (max 3 intervening genes): 2.0<br>cotransfer and neighbor (max 3 intervening genes) percentage: 0.1<br>cotransfers: 308.0<br>cotransfer percentage: 15.4<br>transfer threshold: 0.77",
- "ale<br>coacquisitions with known positions: 5000<br>cotransfer and neighbor (max 0 intervening genes): 9.0<br>cotransfer and neighbor (max 0 intervening genes) percentage: 0.18<br>cotransfer and neighbor (max 1 intervening genes): 10.0<br>cotransfer and neighbor (max 1 intervening genes) percentage: 0.2<br>cotransfer and neighbor (max 2 intervening genes): 15.0<br>cotransfer and neighbor (max 2 intervening genes) percentage: 0.3<br>cotransfer and neighbor (max 3 intervening genes): 22.0<br>cotransfer and neighbor (max 3 intervening genes) percentage: 0.44<br>cotransfers: 694.0<br>cotransfer percentage: 13.88<br>transfer threshold: 0.69",
- "ale<br>coacquisitions with known positions: 10000<br>cotransfer and neighbor (max 0 intervening genes): 12.0<br>cotransfer and neighbor (max 0 intervening genes) percentage: 0.12<br>cotransfer and neighbor (max 1 intervening genes): 18.0<br>cotransfer and neighbor (max 1 intervening genes) percentage: 0.18<br>cotransfer and neighbor (max 2 intervening genes): 27.0<br>cotransfer and neighbor (max 2 intervening genes) percentage: 0.27<br>cotransfer and neighbor (max 3 intervening genes): 39.0<br>cotransfer and neighbor (max 3 intervening genes) percentage: 0.39<br>cotransfers: 1330.0<br>cotransfer percentage: 13.3<br>transfer threshold: 0.58",
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@@ -10652,7 +12815,7 @@
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@@ -10676,7 +12839,7 @@
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+ "name": "GLOOME (ML) α",
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@@ -10685,169 +12848,169 @@
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- "color": "#AA3377",
+ "color": "#000000",
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},
"marker": {
- "color": "#AA3377",
+ "color": "#000000",
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- "color": "#AA3377",
+ "color": "#000000",
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+ "name": "Wn",
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@@ -12492,9 +14655,9 @@
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},
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neighbor (max 0 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: nan\\u003cbr\\u003ecotransfers: 8.0\\u003cbr\\u003ecotransfer percentage: 40.0\\u003cbr\\u003etransfer threshold: 0.97\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 50\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: nan\\u003cbr\\u003ecotransfers: 20.0\\u003cbr\\u003ecotransfer percentage: 40.0\\u003cbr\\u003etransfer threshold: 0.95\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 100\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: nan\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): nan\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: nan\\u003cbr\\u003ecotransfers: 36.0\\u003cbr\\u003ecotransfer percentage: 36.0\\u003cbr\\u003etransfer threshold: 0.94\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 200\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.5\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.5\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.5\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.5\\u003cbr\\u003ecotransfers: 73.0\\u003cbr\\u003ecotransfer percentage: 36.5\\u003cbr\\u003etransfer threshold: 0.92\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 500\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.2\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.2\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.2\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.2\\u003cbr\\u003ecotransfers: 157.0\\u003cbr\\u003ecotransfer percentage: 31.4\\u003cbr\\u003etransfer threshold: 0.86\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 1000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 1.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfers: 210.0\\u003cbr\\u003ecotransfer percentage: 21.0\\u003cbr\\u003etransfer threshold: 0.81\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 2000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 2.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 2.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 2.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 2.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1\\u003cbr\\u003ecotransfers: 308.0\\u003cbr\\u003ecotransfer percentage: 15.4\\u003cbr\\u003etransfer threshold: 0.77\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 5000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 9.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.18\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 10.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.2\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 15.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.3\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 22.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.44\\u003cbr\\u003ecotransfers: 694.0\\u003cbr\\u003ecotransfer percentage: 13.88\\u003cbr\\u003etransfer threshold: 0.69\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 10000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 12.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.12\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 18.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.18\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 27.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.27\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 39.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.39\\u003cbr\\u003ecotransfers: 1330.0\\u003cbr\\u003ecotransfer percentage: 13.3\\u003cbr\\u003etransfer threshold: 0.58\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 20000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 28.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.14\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 41.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.205\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 55.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.275\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 69.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.345\\u003cbr\\u003ecotransfers: 2384.0\\u003cbr\\u003ecotransfer percentage: 11.92\\u003cbr\\u003etransfer threshold: 0.42\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 50000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 61.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.122\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 101.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.202\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 126.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.252\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 149.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.298\\u003cbr\\u003ecotransfers: 6070.0\\u003cbr\\u003ecotransfer percentage: 12.14\\u003cbr\\u003etransfer threshold: 0.29\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 100000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 93.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.093\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 152.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.152\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 189.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.189\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 222.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.222\\u003cbr\\u003ecotransfers: 10528.0\\u003cbr\\u003ecotransfer percentage: 10.528\\u003cbr\\u003etransfer threshold: 0.24\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 200000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 154.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.077\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 252.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.126\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 307.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.1535\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 364.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.182\\u003cbr\\u003ecotransfers: 16290.0\\u003cbr\\u003ecotransfer percentage: 8.145\\u003cbr\\u003etransfer threshold: 0.18\",\"ale\\u003cbr\\u003ecoacquisitions with known positions: 565962\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 354.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0625483689717684\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 575.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.1015969270021662\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 715.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.1263335700983458\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 827.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1461228845752895\\u003cbr\\u003ecotransfers: 39375.0\\u003cbr\\u003ecotransfer percentage: 6.957180870800513\\u003cbr\\u003etransfer threshold: 0.1\"],\"line\":{\"color\":\"#4477AA\",\"width\":2},\"marker\":{\"color\":\"#4477AA\",\"line\":{\"color\":\"#4477AA\",\"width\":1},\"size\":10,\"symbol\":\"cross\"},\"mode\":\"lines+markers\",\"name\":\"ALE\",\"x\":[10,20,50,100,200,500,1000,2000,5000,10000,20000,50000,100000,200000,565962],\"y\":[40.0,40.0,40.0,36.0,36.5,31.4,21.0,15.4,13.88,13.3,11.92,12.14,10.528,8.145,6.957180870800513],\"type\":\"scatter\",\"xaxis\":\"x17\",\"yaxis\":\"y17\"},{\"hoverinfo\":\"text\",\"hovertext\":[\"angst\\u003cbr\\u003ecoacquisitions with known positions: 608623\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 272.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0446910484815723\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 437.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0718014271560555\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 530.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0870818224089461\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 625.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1026908283124364\\u003cbr\\u003ecotransfers: 27148.0\\u003cbr\\u003ecotransfer percentage: 4.460560971241639\\u003cbr\\u003etransfer threshold: 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tree\",\"x\":[],\"y\":[],\"type\":\"scatter\",\"xaxis\":\"x17\",\"yaxis\":\"y17\"},{\"hoverinfo\":\"text\",\"hovertext\":[\"ranger-fast\\u003cbr\\u003ecoacquisitions with known positions: 569217\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 265.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0465551801861153\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 426.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0748396481482457\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 530.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0931103603722306\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 612.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1075161142411417\\u003cbr\\u003ecotransfers: 26349.0\\u003cbr\\u003ecotransfer percentage: 4.628990349901707\\u003cbr\\u003etransfer threshold: 1.0\",\"ranger-fast\\u003cbr\\u003ecoacquisitions with known positions: 575170\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 265.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0460733348401342\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 427.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0742389206669332\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 533.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0926682546029869\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 616.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1070987707981988\\u003cbr\\u003ecotransfers: 26615.0\\u003cbr\\u003ecotransfer percentage: 4.627327572717632\\u003cbr\\u003etransfer threshold: 0.6\",\"ranger-fast\\u003cbr\\u003ecoacquisitions with known positions: 581124\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 265.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0456012830308161\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 430.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0739945347292488\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 536.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0922350479415752\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 619.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1065177139474535\\u003cbr\\u003ecotransfers: 26895.0\\u003cbr\\u003ecotransfer percentage: 4.628100026844529\\u003cbr\\u003etransfer threshold: 0.52\",\"ranger-fast\\u003cbr\\u003ecoacquisitions with known positions: 587077\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 268.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0456498891968174\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 433.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0737552314262013\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 541.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0921514554308889\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 625.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1064596296567571\\u003cbr\\u003ecotransfers: 27155.0\\u003cbr\\u003ecotransfer percentage: 4.625457989326783\\u003cbr\\u003etransfer threshold: 0.47\",\"ranger-fast\\u003cbr\\u003ecoacquisitions with known positions: 593031\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 269.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0453601919629833\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 436.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0735206085347983\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 544.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0917321354195649\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 629.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1060652815788719\\u003cbr\\u003ecotransfers: 27449.0\\u003cbr\\u003ecotransfer percentage: 4.628594457962569\\u003cbr\\u003etransfer threshold: 0.4\",\"ranger-fast\\u003cbr\\u003ecoacquisitions with known positions: 598985\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 270.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0450762539963438\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 441.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.0736245481940282\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 550.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.0918219988814411\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 636.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.1061796205247209\\u003cbr\\u003ecotransfers: 27751.0\\u003cbr\\u003ecotransfer percentage: 4.633004165379767\\u003cbr\\u003etransfer threshold: 0.11\"],\"line\":{\"color\":\"#000000\",\"width\":2},\"marker\":{\"color\":\"#228833\",\"line\":{\"color\":\"#000000\",\"width\":1},\"size\":10,\"symbol\":\"square\"},\"mode\":\"lines+markers\",\"name\":\"RANGER-Fast\",\"x\":[569217,575170,581124,587077,593031,598985],\"y\":[4.628990349901707,4.627327572717632,4.628100026844529,4.625457989326783,4.628594457962569,4.633004165379767],\"type\":\"scatter\",\"xaxis\":\"x17\",\"yaxis\":\"y17\"},{\"hoverinfo\":\"text\",\"hovertext\":[\"ranger\\u003cbr\\u003ecoacquisitions with known positions: 50804\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 64.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.1259743327297063\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 103.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.2027399417368711\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 127.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.2499803165105109\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 153.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.3011573891819541\\u003cbr\\u003ecotransfers: 5684.0\\u003cbr\\u003ecotransfer percentage: 11.188095425557044\\u003cbr\\u003etransfer threshold: 1.0\",\"ranger\\u003cbr\\u003ecoacquisitions with known positions: 100000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 83.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.083\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 145.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.145\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes): 182.0\\u003cbr\\u003ecotransfer and neighbor (max 2 intervening genes) percentage: 0.182\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes): 216.0\\u003cbr\\u003ecotransfer and neighbor (max 3 intervening genes) percentage: 0.216\\u003cbr\\u003ecotransfers: 11297.0\\u003cbr\\u003ecotransfer percentage: 11.297\\u003cbr\\u003etransfer threshold: 0.55\",\"ranger\\u003cbr\\u003ecoacquisitions with known positions: 200000\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes): 145.0\\u003cbr\\u003ecotransfer and neighbor (max 0 intervening genes) percentage: 0.0725\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes): 257.0\\u003cbr\\u003ecotransfer and neighbor (max 1 intervening genes) percentage: 0.1285\\u003cbr\\u003ecotransfer 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of coacquisitions with known positions, being neighbors, cotransfers, or both\"},\"plot_bgcolor\":\"white\",\"paper_bgcolor\":\"white\",\"height\":5400,\"width\":1200}, {\"responsive\": true} ).then(function(){\n",
" \n",
- "var gd = document.getElementById('183b8260-d9a3-4e43-83df-5fbac30c3b93');\n",
+ "var gd = document.getElementById('d7a2e62a-fdc0-491a-a970-80dc646e28bc');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
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@@ -12618,7 +14781,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -12626,12 +14789,12 @@
"output_type": "stream",
"text": [
"The following methods are included in the coacquisitions data:\n",
- "['gloome.ml', 'gloome.ml.without_tree', 'ale', 'angst', 'gloome.mp', 'gloome.mp.without_tree', 'ranger-fast', 'ranger', 'count.ml']\n"
+ "['gloome.ml', 'gloome.ml.without_tree', 'angst', 'ale', 'ranger-fast', 'ranger', 'count.ml', 'wn']\n"
]
},
{
"data": {
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",
+ "image/png": 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",
"text/plain": [
"<Figure size 1500x600 with 2 Axes>"
]
@@ -12713,91 +14876,121 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
- "plt_style_file = 'lib/plot.mplstyle'\n",
- "plt.style.use(plt_style_file)\n",
- "mpl.rc_file(plt_style_file)\n",
- "# Scale the relevant rcParams by 2x\n",
+ "# plt_style_file = 'lib/plot.mplstyle'\n",
+ "# plt.style.use(plt_style_file)\n",
+ "# mpl.rc_file(plt_style_file)\n",
+ "\n",
+ "# Scale the relevant rcParams by 1.5x, but use font_scale_factor for font sizes\n",
"scale_factor = 1.5\n",
+ "font_scale_factor = 2.5\n",
"for key in mpl.rcParams:\n",
" try:\n",
" if not 'size' in key:\n",
" continue\n",
+ " # Use font_scale_factor if the key is related to font size\n",
+ " if 'font' in key:\n",
+ " factor = font_scale_factor\n",
+ " else:\n",
+ " factor = scale_factor\n",
" if isinstance(mpl.rcParams[key], (int, float)) and not isinstance(mpl.rcParams[key], bool):\n",
- " mpl.rcParams[key] *= scale_factor\n",
+ " mpl.rcParams[key] *= factor\n",
" elif isinstance(mpl.rcParams[key], (list, tuple)):\n",
- " mpl.rcParams[key] = [v*scale_factor if isinstance(v, (int, float)) and not isinstance(v, bool) else v for v in mpl.rcParams[key]]\n",
+ " mpl.rcParams[key] = [v*factor if isinstance(v, (int, float)) and not isinstance(v, bool) else v for v in mpl.rcParams[key]]\n",
" except Exception as e:\n",
" print(f\"Error scaling {key} from {mpl.rcParams[key]}: {e}\")\n",
- " raise e "
+ " raise e"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Note that y axis variable is the observed minus expected percentage of neighboring coacquisitions,\n",
- " for a maximum of 1 intervening gene between coacquired genes\n",
- " and x axis variable is the number of coacquisitions with known positions\n",
- "Legend: ALE: + (blue), Ranger: square (green, filled for 'fast' version else empty),\n",
- " ANGST: diamond, GLOOME: triangle-up (yellow, MP is filled, ML is empty), \n",
- " GLOOME (without input species tree): triangle-down (red, MP is filled, ML is empty),\n",
- " COUNT: circle (purple, MP is filled, ML is empty), Wn: x (black)\n"
+ "Following are plots with maximum 1 intervening genes between coacquired genes\n",
+ "x_data_lims: (62, 1181447)\n"
]
},
{
"data": {
- "image/png": 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",
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VEEIIIYQQrUNYJdPPP/88ABEREVx33XX1tk1PT6/6+fvvv+eCCy6otn/atGlNWk7r2CTWbrc36Lhjk/DCwkI6d+583ONcLhcXXHABq1evJikpicWLF9OnT58GxytEbTRNw1/6CaBQVa37eMcEPmXvkj50GfP7Zo1NCCGEEEKI1iCskmm/3w/A3r172bt3b4OPy83NJTc3t9q2q666qkkxDBw4sNrrsrKyBh3n8/mqvW7IqHRlIr1y5UpJpEVoqX6CnjwamkhDxf3TZfueIus7N6nn39B8sQkhhBBCCNEKhFUyvWfPnga3HTNmDEuXLgVg0qRJTS76daz4+Hi6d+/O7t27ARpcBfvQoUNVP1utVmJiYupt73K5mDBhAitWrJBEWoScYrTQ5Zw5BL1FAOz5+kXM1tV49qdgjb8SU4SFuAEp2OIrZlQEvWXsmfcEtthM/EUvsHuem+6/u13HdyCEEEIIIUTzCqsCZK3F5ZdfXvXzpk2balT4rs3mzZurfh45ciSKotTZ1u12M2HCBH788ccGJdImk6nFq5qLts9kT8Qa2xdrbF+CnmIALDED6X3VVXS/+DKiew2t2m9PHELa5PcoLzwJxaChed9k58f61C0QQgghhBCiJUgy3Qjbtm3jueeeqxrRrsv1119flQwXFBSwevXqetvn5+fz22+/Vb2+9NJL62zrdruZOHFigxNpgGAwSDAYrLeNEPVRlP0A2BLqXvrKaLHS96Y38JYMA8DAx2x/95EWiU8IIYQQQoiWJsl0A23ZsoVTTjmFe++9lzFjxvDOO+/U2XbgwIHVCqA988wz9fY9Y8YMVLVi/aHExERuueWWWtt5PB4mTpzI0qVLZWq3aDGqqmKyFwHgTB1Qb1uD0UTajS/id48BwGSZz9bZ91b9+RZCCCGEECJcSDLdQLNmzcLj8VS9fuGFF+pt/8wzz5CamgrAF198UVVp/Fjz5s1jxowZQMV07Pfee4+IiIga7TweDxdeeGHVqHh5eTkTJkygV69ex30IcSLcObswWoJoQYXonicdt73BYCBt8r8J+i8EwOJYxra3bkcNBpo7VCGEEEIIIVpMu7mRdtKkSdWKgdW3NNa5557LtGnTqh1/7H3Px7sPOjExke+++45x48aRm5vLPffcw8KFC7n22mvp0qULBw4c4IsvvuDdd99F0zScTidz5szh7LPPrrW/Tz75hMWLF1e9LigooKCg4PhvXIgTVLq74lrxu50YLdYGH9f7mr+T8YkT1A+wRv/K1jenkDb59Ub1IYQQQgghRGvVbpLppUuXkpmZWeu+Y5fGSkxMrNFm0qRJvPTSS1VLXd15553HPWffvn3ZtGkTDzzwAO+88w5ff/01X3/9dbU2JpOJK664gscee6zeUWSZJiv04snbjsEAaqBDo4/teflf2PNlJEHPG9hiN7Nt1vX0uWE2poiGrb8uhBBCCCFEa6VoDSk1LQDYunUr8+fP59RTT2X06NGNOtbj8bB48WKysrIoLCwkOjqa7t27M2rUKCIjI5sp4tBxu904nU6gYlkuh8Ohc0SipWx54zas0WvwuUbR98bnmtRH9vfv4j34HwwmlfKCZHpd8zaWyOgQRyqEEEJASUkJ0dHRFBcXExUVpXc4QoijhNv12W5GpkOhb9++9O3bt0nH2u12Jk6cGOKIhGh+WnAfANaY7k3uI+Xca8ld5sCd/RS2uBx2vn81PS6fjS2uY6jCFEIIIYQQokVJATIhRL2M1kMA2Lv0O6F+ks66hKjeTxAoN2OL3c/uT6/FnZcdihCFEEIIIYRocZJMCyHq5C0uwOwoByC656AT7q/TsHOJG/wsfo8Va0wh2V/fQGnm9hPuVwghhBBCiJYmybQQok7FOw9X8vZYscV3CkmfCYNOp+PwF/G7IrBElbJ30c0U7Ug//oFCCCGEEEK0IpJMCyHq5N67BYBgeVxI+43tO4Sks9/AVxKJxekhf+XtHNqwOqTnEEII0b7JSihCiOYmybQQok6+ggwAFGPN5eJOVGS3NFImzMZbFIPZ7uXQunvY/8sPIT+PEEKI9mn77KvZv2aR3mEIIcKYJNNCiDoFvXsBMDm7Nkv/js5d6X7Zu5QXdsBk81O8/SFyf5zXLOcSQgjRvlhj83Dtvp/Nr15N4da1eocjhAhDkkwLIeqkGPcDYO/Yp9nOYYvvRK+r3qO8IAmjJYgn5wmyv3+v2c4nhBCiffAW9UXTwBa3g4L1f2TL6zfjytmld1hCiDAiybQQolZqwI/ZUQJAZLeTmvVclqhY+lz/HuUF3TGYVHyHniPzq9eb9ZxCCCHCW98bXyWm34uUF3RDMWhYY9aRt+wqts6+l/KC/XqHJ4QIA5JMCyFqVbJnKwaThhow4OzafCPTlUx2J2k3vkN5YT8Uo0bA8yq7Pp3R7OcVQggRvuIHjqD/rZ9gT55OeWFHDGYVi2MZWV9fzI73HiPgcekdohCiDZNkWghRK9eejQD4XdEYjKYWOafRYqXvTbPwFp+CogDqe+x4//EWObcQQojwlThyPH1v/gpz9N14i6Mx2fwYzV+S8dF4dn32H4I+r94hCiHaIEmmhRC1KjuwAwBN69Ci5zUYTaRN+S8+15kAGE3z2DbnflniRAghxAkxGAyknHcdaZO/RTHdgN8VgdlRBsH/sX3OeLK+myP/1gghGkWSaSFErfyuTACMtuQWP7fBYKDPpBkEvBcAYI5YxLZZd6IGAy0eixBCiPBiMJnpfuld9LzyG4KB3xEoN2ONLiFQMpOtb1zIvhVf6R2iEKKNkGRaCFE7LQ8Aa2xPXU5vMBjoc90TqOrlFXFE/cTWt/6IGvDrEo8QQojwYrI76X31I3S98Et87tGofgO22P2U5f6dza/+nkMbVusdohCilZNkWghRK5OtEABHcn9d4+h15QMo5sloKthi0tn65g0EvWW6xiSEECJ8WGMT6Dv5WRJHf4i3+BQ0VcEWl0nRljvY/NoNlOzaXOexnrwids9bw44PVrB73ho8eUUtF7gQQneKpmma3kGI1s/tduN0OgFwuVw4HA6dIxLNybN/L3lLLwYg+YIfsERG6xwRZH0zG1/xSxiMGuUFqfS6djYWZ5TeYQkhhGhlSkpKiI6Opri4mKioxv87Ubh9PfuW/BNb7HYA1ICC3zOMrhc+iL1Txa1PBRuz2fzmD+xbvo3I1IOknLOd7IV9KM1KoPOovvS/aSxxA1JC+r6ECAcnen22NjIyLYSooSRjAwB+l71VJNIAqeMnE5H414ppeHFZ7HzvGryFh/QOSwghRJiJ7TOY/n98D2ePf1Ne0AWDScMa9RN7F17OtjkPsGf+Khbd9Ap5K7eDptJl9E4iEtx0Gb0TNJW8FdtYNOUVchZt1PutCCGamSTTQogaPPu2AhD0xescSXVdxlyOs/tjBL0mbLF5ZHxyDZ79e/UOSwghRBjqeOoY+t86F1uHB/EWxWG0BDBHLMS7fxoJgzNBCxDVvQBH51IAHJ1LiepegBZU0VSV1Q++R8GmbJ3fhRCiOUkyLYSowVe8GwDF1FnnSGpKHDmemAHPECizYIs5ROa8G3Dl7NI7LCGEEGEqaczvSZsyH2PErXiL7JgdPlLP3caAm1eScu5WtMOraWkqJI3aCWhw+CbKLW8u0i1uIUTzk2RaCFGD6qsY7bVEddc5ktp1GHIWCafNxO+2YY0uJmfBjZRkbNI7LCGEEGHKYDTR4bQ/sPGNkWR+1xe/y4I1thxbbBnK4U/TiuHI6DSAFlTJ/XGrFCUTIoxJMi2EqMFgPghARGIfnSOpW1z/0+g86lV8pQ4skW72/XgrBZt+0TssIYQQYSr/550QVDi4LpmNr52Or8TKsWV8NQ16XrqebhM20vG0LJzJBeT++Js+AQshmp1J7wCEEK1LoMyD2eECIKrHIJ2jqV9UzwEYrLPI/vYWrNHFHPz1zwS9T9LhlDF6hyaEECLMBDxeMCigajiTi7FEeWu0URRQzCrxA/OIJ+/w1l/Z+pYT1d8Zk6MnjqRBxPQbjqNz15Z9A0KIkJNkWghRTXHGRhQDBL0m7G3gH3pncg+6/u5/7Jl7I7aYQxRtfoBA+SN0Pn2C3qEJIYQIIya7FVQN0EgatRNNpWqK99E0FfxuC+59Udg7ubBGl2OJdAE7gB14D31L/nLwu20EvZ0w2noQ0XEAMWnDcHbri8EgE0eFaCskmRZCVOPOrrj32O+JaTP/oNs7JtHz8vfI+HgSttg83Hv+zl6vmy5n/0Hv0IQQQoSJTsN6gaIQ1e1QVQXv2igGsET6yPwmhZI9CYydPQnvwS24967H79qJYszFElmC2VGO2ZEJZBJwLebgr5C3wkzA0wGDuRvWhH5E9zyNmLSTMZjMLfdGhRANJsm0EKKa8oM7MdkAOukdSqNYY+Ppfe377HhnMra4TMrynyHrGxep42/UOzQhhBBhwJ4YQ+dRaUR3+6nOUelKFZW9M3CmnEH8gL5AX+DSqv2+kkIKNv+MK2sdvuJtKORgjizEZPNjsuUCuWjelRRtfpND6434XXEohlSscX2J7DaE2H7DMEXYm/stCyGOQ5JpIUQ1gbJsTDYw2VP1DqXRzI5I0ia/w7bZU7DF7cBf8hK7v3DT/ZI79A5NCCFEGOh9ZRzurJLjtquo7F1Cx+Fxte63RMWSOOJ8GHF+1bagt4yCzWso3f0b3oKtaGomZschjJYgxtgDwAEI/kppxruUbFfwlcag0QVLVB8cKScTN2AE1ujazyeEaB6STAshqlPyAbAl9NI5kKYxWiPoe9Mcts66FVtMOpp/Njs/LKXXlQ/qHZoQQog2TNM0/KWfAApVC0nXS8Ff+gmadhGKohy3tdEaQYcho+gwZFTVNjXgp3jHRop3/kz5wc2ovj2Y7Psx2fxYYwqBQmAjZXs/IycH/KWRqMHOmBy9cHQZRGy/Edg7JTfxHQshjke3ZLqgoABFUYiNjdUrBCHEMVRVxWwvAsCZOkDfYE6AwWSm701vsG32XVgjV2MwfMr2/7node30NnMfuBBCiFZG9RP05NGwRBpAI1iWD6ofjJYmndJgMhPbbwix/YYcCUNVcWftoHDbz5TlbyBYthujNQ+zowxLVClQCmzHe2A+eQfA744g6E3EGNGdiE4DiU0bhiO1t/x7KEQIKJp27Ap5TZeVlVX1s9FopEuXLjXazJkzh8cee4w9e/YA0LlzZ6ZOncr999+PySQD5a2V2+3G6XQC4HK5cDgcOkckmoMreyf7V1+Fpip0u2QZRmuE3iGdEFVV2fHOQ5gjFgLgc51Bn0nPyQcIIYQIYyUlJURHR1NcXExUVFRI+w548gh6i6pelx8qpWBTNoEyH6YIC3EDUrDFR1btN1pjMdlbpgaJJz+Hwi2rce9NJ+DeicG473ByXVOgzEKgrAMGSzdsCf2J7jWM6D4DMRjls7hoXs15feohZMn08uXLGT16dNXrxMRE9u7dW63N888/z7Rp04CKqTJVQSgKF154IZ9//rl8yG2lJJluH3KXfk75/n/gK4mk702L9Q4nZHa8Px2jaS4A3uIhpE1+WSqjCiFEmAq3D+snwlt4iIItP+HOXoevZDsKOVgii1GMNT/+B31G/O54FEPXikJn3U8hrv9pbf6LddG6hNv1GbKvn2bNmlWVIEdERDB48OBq+3ft2sWDDz6Ipmk17hvRNI2vvvqKl19+mTvukEJBQujFk78dgwJqIEHvUEKq99UPs+uzSLTAO1ij17L1rRtJm/wmRotV79CEEEKIZmONjafz6ROACVXbAh4XhVsPFzor3IamZmFxHi50ZtkP7IfgL5Tu/B/F2xT8pbFoJGOJTsOZWlHozBIZrdt7EqI1CdnIdKdOnTh48CDXXXcdL774IpGRkdX233HHHbz88ssoioLZbObxxx9nwoQJFBYW8o9//IMFCxaQkpJCZmZmKMIRISYj0+3Dljduxxr9Cz7XmfS98Xm9wwm5zK9eJ+B6DcWoUV7QnT7Xz8Jkd+odlhBCiBAKt5GvlqAG/BRtW0dxxhq8Bzej+jMx2Q9gsvlrtNU08JVGoQWTMDt74egymLgBI7ElJOoQuWhrwu36DEkyvWnTJgYOHEivXr3YsmULRqOx2n6/309iYiJFRUVAxXTvO++8s2p/IBAgLS2NPXv28Ouvv3LyySefaEgixCSZbh82v3oxtri9YLqBHpfepXc4zSJn4fuUH3gOg0mlvCCJnlfNlqVEhBAijITbh3W9qKqKa/cWirb/Qtn+TQTLd2G05mN2lNfa3u+yE/QlYozogb3zQGLShuNI7iG3cIpqwu36DMk073Xr1gEwderUGok0wNKlSyksLERRlKqCY9WCMJm45ZZb+L//+z/Wr18vybQQOjFaCwBwJPXVOZLmk3zO1exbHokrczq2uFwyPryWHpfNkm/UhRBCiKMYDAaieg4gqmf11T3c+zIp2vIT7tx0Au4MDOZ9WCJdmJ0ezOwCduEvWsiBn2DfEguBsk4YLN2I6DiAqN5Die45QAqdibARkj/JeXl5KIpCWlparfvnzZtX9fOkSZNqTbj79euHpmkcOHAgFCEJIRrJW1yA2VEGQHTPQTpH07w6n3kh+60RFG39G7bYA+z+4jpSx7+Jo0tXvUMTQgghWjVH5644OncFrqja5i08SMGm1bhy1uEv2Y5i2IslsgRThA9TRDaQTdDzI4Xr/8vBX0z43QkoxlRscX2J7HkasX1PlTomok0KSTLt8/kAsFprvwjmzp1b9fPVV19da5uEhIqCR35/zXszhBDNryQjHYCAx9ouRmk7Dh2H0ebg4G/TsEYXkf3tZLqM+y+R3Wr/UlAIIYQQtbPGJtD5zAuBC6u2+d2lFG7+mdLMtfiKtqGp2VgiCzBaAhgteUAeWuBnSrbNoWiTAb8rFo0UrDFpOLueTGz/4VicbX8asAhvIUmmY2NjAcjOzq6xb9myZWRnZ6MoCn369OGkk06qtY/i4mKAGoXLhBAtw5WzBYCAN1bnSFpO/MARGG2vkLf8DixRpeQuvpmOI2cS23eI3qEJIYQQbZrZEUnHoePoOHRc1bagz0vRtrWUZKyh/NAWtEAWZscBjNYA1phDwCFgHe7MD3HtBl9pNJqahDmyD47kQcT1H4EtvmXW7RaiIUKSTPfv3x9N0/jkk0+YNGlStX3/+te/qn6+4oorjj20ypo1a1AUheTk5FCEJIRoJF/hLsx2UJTwH5U+WkzvQRitb5Hz/R+xRpVw4Kc7CHqfIWHwGXqHJoQQQoQVo8VK/MARxA8cUbVNDQYo2b2Fku2/4Nm/EdW7B5MtH5PdizW6GCgGtlCeN5fcPPC57Ki+zhjtPXF0HkRMv+E4u3TX7T2J9i0k1by9Xi+dO3emuLiYhx9+mNtuuw2j0cizzz7LM888A1QUMdi6dSu9evWqcbzH46F///5kZ2ezfft2evbseaIhiRCTat7hb/OrV2OL20EwcDG9r35Y73BanCc/h8x5U7DGFBAoNxPd5zE6DT9P77CEEEI0UrhVC26PVFXFk7uHoq0/4d63gaAnA4NlHxanp9b2fo+VYHknDNbu2DsOIKrPUKJ6DJBK4q1QuF2fIVtn+pFHHuGJJ55AUZRq2zVNQ1EULrvsMj7++OMax23YsIE77riDH3/8ka5du7J79+5QhCNCTJLp8LfljXFYo4uxxN1H8rgr9Q5HF+UF+9n1yY3YYvMJ+ow4kh8gafSleoclhBCiESo/rBcVFBAd235uXWoPyg/mUbB5Ne696fhLd1QVOlNqyZmDXhN+dwcUUyq2hP5E9TiVmLQhUuhMZ5JM18Hr9XL++eezbNmyI50rCpqm0blzZ3755ReSkpKq9q1bt45x48ZVrT0NcNddd/Hcc8+FIhwRYpJMhzc14GfXx6djMGkknPJ2jWUw2hNfaTE735uELS4HNaBgibuL1POv1zssIYQQDVT5YT3zzw/T4bwxWEcNwxDp1Dss0Ux8rhIKN/9EaeZv+Iq2o5CD2VmAwVQzxVEDBnylcSiGFCwxaUR2O4W4/sMw2eXPR0uRZLoePp+PZ599lnfffZeMjAzsdjvnn38+Tz/9NKmpqdXa/vTTT4wcObLato0bN9K/f/9QhSNCSJLp8Fa0cwMFa29EDRjo8YcVGExmvUPSVaDMw/Y5N2KLy0BTFQwRU+j+u9v1DksIIUQDVH5Y3zP5bqIsVjCZsAwdjHXs6ZhSu+gdnmgBQZ+Xwi1rKN31K+UFW9GCmZgdBzFagjXaaqqCrzQKTU3GHNUbZ/LJxA0YgTU2QYfIw58k06JdkmQ6vOUsfB9f4bN4i2Lod8tCvcNpFYI+L9tm/xFb7CY0DVCupOcf7tM7LCGEEMdR+WF9/w/LsP60nuCenKp9xp5dsY09A/OQAShGo45RipamBgMU79hAyc41lB3YjOrbjSliP6YIX63tfaVOVH9nTI5eOJIGEtNv+OH1tcWJkGRatEuSTIe3He8/jtE0j/LCPvT/43t6h9NqqMEA22bdgTV6DQAB3wT6XPu4zlEJIYSoz7Ef1gO7s/AuWolvTTqoKgBKTBTW0SOxjhoqU8DbMVVVcefsomjbT3j2bSBYtgujJQ9zXYXO3DaC3k4YbT2I6DiAmLRhOLv1lUJnjSDJdC0yMzPp0aPHkU4Vhffee6/epbBE2yLJdHjb/PpN2GLW4y8bS9oNz+gdTquiqirb59yHxbEUAJ97NH1u+Jf8wymEEK1UXR/W1aISvMt+wrvsJ7RSV8VGmQIuauHZn0vRlsOFzlw7MBhzMUeWckydZQAC5WYCng4YzN2wJvQjuudpxKSd3O5vmatLuCXTIVlneu3atRydk5tMJiIiIkLRtRCiJWh5AFhjZVm6YxkMBvpOfpbt7z6KyfI1FsdStr31J9JufAGDMSR/hQohhGgBhpgoIn53LrbxZ+P7dQPeRSsIZubgW/UrvlW/YurVDevY0zGfLFPA2zt7xyTsHS8DLqva5isppGDTT7iy1uEr2Y5CNubIIkw2PyZbLpCL5l1J0eY3ObTeiN8Vh2JIxRrXl8huQ4jtNwxThF239ySaR0g+CWZnZwMVI9KPPfYYDzzwACaTfMgUoq0w2QoBcCRLAcC69Ln2MTI+doL2IdboX9j65k2kTX5NltgQQog2RjGbsI4YgmX4yQR3Z1O+aAX+XzcQ2LmHwM49KLHRWM8aIVPARTWWqFgSR14AIy+o2hYo81C49VdKd/+Kt2ArmpqF2XkIozmIMfYAcACCv1Ka8S4l2xV8pTFodMES1Qdn6hBi+w/HGh2n35sSJywk07z/+c9/8uCDD3LSSSeRnp4eirhEKyPTvMOXZ/9e8pZeDEDyBT9giYzWOaLWbfe8V1DL3kIxaJQX9KTPDbPkm2YhhGhFmjKNtGIK+Gq8y36uPgV82GCsZ8sUcNFwasBP0Y50SnauofzgZlTfHkz2/Zhs/hptNQ38pZGogSRMzp44ugwitt8I7J2SdYi8Zcg071pUrh/du3fvUHQnhGhBJRkbAPC77JJIN0D3391O1ndOfAUzscVlsH3OtfS6Zrb87oQQog2rmAJ+HrbxY/H9mo73hxUEs/biW/krvpUyBVw0nMFkJq7fqcT1O7Vqm6qquDK3U7T9Z8ryN1YUOrPmYXaUY4kqBbYB2/AemE/eAfC7Iwh6EzFGdCei00Bi04bhSO0t9VpaoZAk04MHDwYgPz+/yX388MMP7N27lxtuuCEUIQkhGsizbysAQV+8zpG0HannX0/uUifunKexxWWz8/1r6HH5LGxxHfUOTQghxAmomAJ+CpbhQwjuyqJ88cqaU8BHj8A6ahgGp8zSEw1jMBiI6t6XqO59q21352VXFDrL3UDAvRODKRdLpAuzowyzYzewm0DJIg78AvuWWQiUdcBg6YYtoT/RvYYR3Weg1G/RWciWxhoxYgS//fYbmZmZdO7cudHHjx8/ngULFhAM1lxMXehPpnmHr62z/ozFuQJvyTD63fSy3uG0Kfk/LaB4+6OYbH68RXF0/d1bYT01Swgh2oJQTyM9MgX8J7RSd8XGyingY8/AlJJ0wucQopK38BAFW37CnbUWX8kOFCUHS1QxiqFmyhb0GfG741EMXSsKnXU/hbj+p2G0tt5C0OE2zTtkyfTmzZs5/fTTGT58OF9++SUWi6VRx0sy3bpJMh2+Nr96Oba4PWhcSc8/3Kd3OG3OwfUrKFh3Pya7F29JFMnnvkZkai+9wxJCiHaruT6sa34/vjXpeBetJJi1t2p7xRTwMzCf3F+mgItmEfC4KNiyBtee3/AWbkVTs7E4D2EwqzXaqkEFf2ksGslYotNwpp5M3IARreZ2NEmm67FmzRpuuOEGTCYTjz32GBMnTmxwUi3JdOsmyXT42vrWGCyRLmyJD5M06mK9w2mTCreuZf+quzA7y/C57CSOeomYXgP1DksIIdql5v6wrmlatSngqBUJjRIbjW3MSCxnDpUp4KLZBX1eiravp2TXr3gPbkb178HsOIDRGqjRVtPAVxqFFkzC7OyFo8tg4gaMxJaQ2OJxSzJdh7FjxwJQVlbGTz/9hKIomEwmevfuTWxsLGZz/QuXr1+/nqKiIkmmWylJpsNToMxD5ryzUAzQ8fSPcXbprndIbVbpnm3sXXQrlkgXfreNhFP/TfzAEXqHJYQQ7U5LflhXC4vxLvsJ749HTQE3m7AMO7miCngdU8DVgiJUl7vB5zFEOjHEto6RRdF6qaqKa/cWirb/UlHozLsbozUfs6O81vZ+l52gLxFjRA/snQcS23c49i49mrXQmSTTdTAYDCiKUvW6stujt9VH0zQURZFkupWSZDo8Hdr4M8VbphL0muh5zUqpEnmC3HszyfrmJqzRRQTKzcT0+wcdTxurd1hCCNGu6PFhvc4p4L27V1QBH3xkCrjmD1D84NNHluBqACXKSfSTD6CYpdiUaDz33kwKt67Gs+9woTPzPiyRtX+ZEyizECjrhMHanYgO/YnqPZTongNCVugs3JLpkF6RteXlIZxFLoQIMXf2JgD8nhhJpEPA0aUr3S95h12f3Ygt9gDF2x4kWP4wnc+8UO/QhBBCNCPFbMY68lQsI06pmAK+aAX+3zYS2LGbwI7d1aaAKw47hrgYgi53xfzb43auYIiNAZPcjy2axtGlK44uXYErq7aVF+ynYNNq3Dnr8ZfuQDHsxRJZjCnChykiG8gm6FlG4fr/cvAXE353AooxFVtcXyJ7nkZs31MxWqy6vafWIqQj08OHD+e2225r0vHPPvssmzZtkpHpVkpGpsPT9v/9Hybbd5QXDqD/H9/WO5yw4S0uIOODydjiclEDBmwd7iX5nKv0DksIIdqF1jLypRYW4126Gu/yn2tMATemdqHs/bkN7st51xTMA/o0U6RCVPC7Sync/DOle37DV7QNTcvBElmAwVRLobOAAb8rFo0UrDFpOLueTGz/4Vic9V9zreX6DJWQJtNXXXUV7733XpOOlwJkrZsk0+Fp82s3YIvdTMA7nj7XTdc7nLAS8LjY/r8bscXtRgsqmJx/pOuFt+gdlhBChL3W9mG9agr4DysIZuce2WG1gM9f/+i0omBM7ULkg39q8K2TQoRS0OelaNtaSjLWUH5oC1owE7P9YO2FzlTwlUajqUmYI/vgSB5EXP8R2OI7VbVpbdfniWo1N17IdHAhdKDkA2BLkKWcQs1kd5J24ztsm30TttitBDyvsuszNz0uu1vv0IQQQrSgalPAMzIpX7QS/9qN4PUd/2BNI+Li8ySRFroxWqzEDxxRraiqGgxQsmszxTt+oWz/JlTvbky2/ZjsXqzRxUAxsIXyvLnk5oGv1IHqT8Ro74kaFV6fOUOWTH/++eckJyc3+fg5c+ZQVlYWqnCEEMehqipmexEAztQB+gYTpowWK32nzGLbrNuxxqyD4DvseL+U3lc/rHdoQgghWpiiKJh6dcPZqxtqYTHlS1bhXbCsammtmgeAEheLBgT35qFEOVEcdhSpcSJ0ZjCaiOk9iJjeg6q2qaqKJ3cPhVtW48nbQNCzC4NlHxan53Cxswwgg9Kib3SLuzmEdJ1pEb5kmnf4cWXvZP/qq9BUhW6XLMNojdA7pLClqirb374Hi3MFAP6yc+h93ZNS9E0IIZpBW5pG6lu/GffLcxp+gMGAEunAEBWJEh1ZsWRWdCRKlLNiW9Th15FOFHuEjGgL3ZUfzKNg8+FCZ66duL2ZDLvrxzZxfTZEq5nmLYRoWSW7NgDgdzklkW5mBoOBPpOeY+e7D2OyfYc5YiHbZrtImzxTEmohhGjHzIP6YeyaXLGc1jHjW4ojAkNyElqpC624FM3tAVVFKy4lWFwK2cfp3GQ8kmBHRaJERWKIdqJEVjxX22eTqsyiedgSEkk66xLgEqDiyy7uCp8105s1md69ezfLli1j+/btHDp0CID4+Hj69OnD6NGj6datW3OeXghRD0/+dgwKqIEEvUNpFwwGA32u/wc7P3RgMHyGNXI1W9+8mb43vorBZNY7PCGEEDpQFIWIi8/DNfOtGvscN11drYK3FgyilbhQS0qrntViF1pJKWpJ5XPFPq2sHAJB1IIiKCjiuOV9rRYMkc6K0e6oYxLtw9uUqMPPZvk3S4hKzZJM//DDDzz++OMsX7683nZnnXUWDz/8MGPHjm2OMIQQ9fCX7MEaDQZLF71DaVd6XfkQuz93ovrmYItJZ+tbk0ib9KbMDhBCiHbK1L939dHpwxW8Tf17V2unGI0osdEYYo8/qqf5/BWJdakLtbi0ehJeXIp6eLRbLSmtqCju9aF6C+BgwXETbyXCVmOUuzLRPnr6uRLlRDHK2tgivIU8mb733nv5z3/+A1RU6K7rXg1N01i2bBnnnnsu99xzD//+979DHYoQoh5asGJ5DktMD50jaX+6X3oXWd9E4it+GVvsdrbNvo7e183G7IjUOzQhhBAtrMbodAgqeCsWM8aEOEiIq7edpmkVifTRifYxo9wVI+AViTmBIFpZOVpZOWr+gePH4XRUjXAbopxHEu3oyOqj304prCbappAm03feeScvv/wycGSpq/rqm1Xue+655/D5fMycOTOU4Qgh6mG0FgDgSOqrcyTtU+r4G9m7yEFZ3r+xxWWy451r6HnFbKyx8XqHJoQQooVVjU5n5mDsmlxjVLq5KIoCNitGmxU61n/bl6ZpaJ6yGqPclaPfRyffWqm74v5ulxvN5UbNza8/EIMBxemoNspd8RxZo8CaFFYTrUnIqnl/9dVX/O53vwPAZDJxySWXcNFFFzFo0CBSU1NxOp0oikJpaSlZWVmkp6fz5Zdf8sUXXxAIBFAUhXnz5jFx4sRQhCNCTKp5hxdvcQF7F5wHQNLZX2FLSNQ5ovZr38r5uHY9jtEaoLwonm4Xz8LeMUnvsIQQos1qS9W8j+bfsgPPB19iv+oizP1aJpluLpqqork9R412H5VoH55mXjn9XHO5G9e5yYhyuIp5baPcRyffWC2SeLcybfX6rEvIkumTTz6Z9PR0hgwZwocffkivXg1bkHvHjh1ceeWVrFu3jsGDB7N27dpQhNNu7d+/n7S0NIqKigCYNGkSs2fPPuF+JZkOLwd+W0Jpxl8IeKz0mbRC73DavQNrl1G44QFMET68xdGkjH8DZ5fueoclhBBtUrh9WA93WjCIVuo+Zqr50fd5H5l6rnnKG9e5xVwz0a5tObGoSBSLFFZrCeF2fYZkmveuXbtIT0+nS5cu/PDDD8TExDT42N69e7Nw4UIGDRpEeno6u3btokcPuYezqaZNm1aVSAtRF1fOFgAC3lidIxEAHYachdHyHw78cg/W6GJyvptM0uiXieo5QO/QhBBCiGalGI0oMVEYYo6fWGl+f0XiXZlwH1NMrSLprkjC8frA50c92JjCakctI1Y51fzYZcSksJo4SkiS6VWrVgEwderURiXSleLi4pg6dSoPP/wwq1atkmS6iZYsWcI777yjdxiiDfAV7sJsB0WR6d2tRdyAoZhsr5K7dCqWSDf7fryVgO8/xPU7Ve/QhBBCiFZBMZtR4mIwxMUct61W7j0q0a45yq0Wu9BKK54JBI4qrHbw+HE47FXF1GqMckcflYw7HVJYLcyFJJnOz89HURROO+20JvcxdOhQNE0jP/84BQpErfx+P1OnTtU7DNFGBMtzMNvB5OyqdyjiKFE9B2CwziL721uwRhdz8Jc7CZY/TYchZ+kdmhBCCNGmKJWF1TrUX9hT07SKRLoy0T5mmvnRo91aiauisJrbg+b2oHKcvEVRKqaVHzXKXbmc2LFreUthtbYpJMm0qqoAGE9gykPlsZV9icZ59tln2bJlCykpKXTq1Ik1a9boHZJoxRRjxXIWER376ByJOJYzuQddfzeHzLlTsMYcomjT/QTLHyVx5Hi9QxNCCCHCjqIoKPYIsEdgTOxYb1tNVSsqmlebVl59lLsqKXe5QdPQSkoJlpQC++oPxGisvozY0et2H13dPMoJNqsk3q1ESJLpjh07omka6enpjB07tkl9rFu3DkVR6Nix/j/EoqbMzEymT58OwH/+85+qdb6FqI0a8GN2lAAQ1e0knaMRtbF37EKPy98j4+NJ2GLzcO1+lL1eN13GXK53aEIIIUS7pRxewgunA2OX+m+V04LBimXBikurLyd29Aj44WnomqcMgkG0wmKChcXHvb8bs/mo6eXVE+0aa3hLYbVmFZJkunJ69yuvvMKtt95KREREo473eDy88sor1foSDXfXXXfh8XiYMGECl156qSTTol6le7ZhMKmoAQPOrjIy3VpZY+Ppdc177Hx3Mra4LMr2/ZOsb1ykjp+sd2hCCCGEOA7FaESJjsIQ3ZDCaoGK9bpLSqut3V2RfFeOdlck4ZR7wd/wwmrYrNUT7aOWE6tW3TzSgWIKSWrYroTkN9a/f3969uzJzp07ufTSS3n//feJjW1YleDCwkKuuuoqMjIy6N27N/379w9FSO3Gl19+ybx587DZbLzwwgt6hyPagNI9GwHwu6IwmOTbytbM4owibfK7bJs9BVvcDvwlL7L7CxfdL7lD79CEEEIIESKK2dTwwmpe3zFLhx1eTqy05v3e+ANQ7kUt96Lub2BhtWOWDKt1GbFIKaxWKWRfPzz66KPccMMNfP/99/To0YNbbrmFiRMnMmjQoBqJdWFhIenp6Xz11Ve8+eabFBcXoygKjzzySKjCaRc8Hg933XUXAA899JBUQRcNUnZgB0YTaJrcUtEWGK0R9L1pDlvf+iO22A1o/tns/MhNryv+qndoQgghhGhhitWCsUN8gwqrUe49Mtp9zFTzY9f0rlZYbd/+4wShoEQ6jlkyrGL0+9jkW3HYw/r+7pAl09dddx1z587l008/paSkhGeffZZnn30WALvdjtPpBMDlcuHxeKqO0zQNgD/84Q9ce+21oQqnXZg+fTp79uyhd+/e3H///XqHI9oIvysTYwwYbcl6hyIayGAy0/em19k2+89Yo37CoHzM9ndK6XXN4xjkm2EhhBBCHENRFIiwYYywYezUod62VYXVDifYldPMqyffh+/1Lq0srOYiWOI6fiBGY1XibYiOxG0Or88tIZ0YX7nG8aeffoqiKFWJstvtxu1213nc5Zdfzpw5c0IZStjbsmVL1ZcVL730ElarVeeIRJuh5QFgje2pcyCiMQxGE2k3vsCOdx7AHLEIk/Vbtr/tos+kGZJQCyGEEKLJqhVWS+pUb9uKwmqeeke5K581t6eisFpRCcGiEoKAz+dtmTfVQkKaTFutVj7++GNmzZrFk08+SUZGRr3te/bsyd/+9jcmTZoUyjDahalTp+L3+7niiis499xzQ9p3bV981PdliGhbTLYCABzJ/XSORDSWwWAg7YZn2PH+4xhN87A4l7PtrdtIu/FlDEYpGiKEEEKI5lVRWK1ilPl4tEAArdRdbbTbl5cHs59v/kBbSLN8+rrxxhuZNGkSy5cvZ9myZWzbto1Dhw4BEB8fT1paGmeddRajRo0K6zn0zeWdd95hyZIlREZG8txzz4W8/8op+SL8ePbnYorwARDdc6DO0Yim6n31I+z61IkWfA9r9G9sffNG0ia/gdEiM1SEEEII0TooJhNKbDSG2OiqbRElJTpGFHrNNpRhMBg466yzOOuss5rrFO1ScXExf/nLXwB47LHHSEpK0jki0ZaU7NoAgN8VgSWqYRX3RevU4/f3sucrJ0HX69hit7Bt1nX0uX4WJrt8GSaEELVRC4pQXQ2faWeIdFZLAoQQ4lgyL7CNeeihh8jPz2fQoEHceeedzXIOl6tmMQG3202nTvXfQyFaP0/uVgCCvvorQIq2oduFfyRnYSTlB57DFreb7f+7ll5Xz5YvSoQQ4hiaP0DJM6+gFRY3+BglNpro6fehmOXjshCidvK3QxuyZs0a/vvf/6IoCq+88gqmZlpY3eFwNEu/Qn++4l1YnKCYZEZDuEg+52pyf7TjznoSW9xedn5wDT1+PxtbvHz5JYQQVUxGDDHRaCYTjluuhvpuM9Q03K+/X1GQyWRsuRiFEG1OsyXTfr+fhQsXsnr1ajIyMigsLAQgNjaWnj17MnLkSMaNG4fZbG6uEMKKqqrcfvvtqKrKlClTOP300/UOSbRBqi8XAHNUV50jEaGUNOpi9v/ipGjr37DFHmD3Z9eSeuGbODrL/2chhICKZYIiLjoH18y30FwezAP61NnWv2k76oFDOK++WGr7CCHqFfJk2ufz8eSTT/Lyyy9XFR2rS0JCAlOnTuXBBx/EYrGEOpSw8sorr7BmzRri4uL45z//qXc4oo0ymA4CYO+UpnMkItQ6Dh2H0ebg4G/TsMYUkT1/Ml3G/ZfIbvL/WgjRPrne+hBz1xQMnRIwduqAITUJY/cUyr5ciKl/71oTZU3TKPtyIcbuqZj699YhaiFEW6JolYtBh8CePXuYMGEC27Ztq1pjuq5v9I7en5aWxvz58+nWrVuoQgk7vXv3ZufOnXTp0oWTTjqp3rY///xz1UyApKQkBg6sXrV52rRpjV5Oy+12V1X5drlcMhW8DQqUecicNxrFoNFx5Ec4k3voHZJoBkU70slbfgcWpwe/K4KOZ7xIbJ/BeoclhBAtpqSkhOjoaPZMvpuoY1c5sFrA68N515RaR6f9m7bjmvlWnfuFECem8vosLi4mKipK73BOWMhGpvPz8znrrLPYu3dvte2apmG326uSL7fbjcfjqdZm69atjB49mp9//lmKXNXB7/cDsHfv3hq/4/rk5uaSm5tbbdtVV10V0thE21CyaxOKQSPoM2FP6qZ3OKKZxPQehNHyBnsX3oolqpT9q6YSLP8XCYPk1hAhRPsScckFWN1lBPMPEsw/UFF8zOsDRaFs7oIao9OaplE2bwFKdCSBvP2gaRgSO2CIi0ExGHR8J0KI1ipkyfRdd91FTk4OULGW9M0338yECRM46aSTiI2tXlm2sLCQDRs2MH/+fN58800OHTpETk4Od999N++//36oQgore/bsaXDbMWPGsHTpUgAmTZrE7Nmzmyco0aa4sjYB4HfHYJAPBWEtsmsfUibOIevLKVhjCilYP41g+eN0Gta4GSlCCNGW2c4eif2okS/N5yO4/xC+X9Pxzl9MYPOOaqPPgc07CO6p+Cxb/tFXRzoymTB0jMdYOV08sUPFc6cEDA57i70fIUTrE5Jket++fXz66acoisIll1zC22+/XTUluDaxsbFVa1D/7W9/44YbbuCLL77gk08+4bnnniMxMTEUYQkhjlJ+aCcmK0BHvUMRLcCRmEL337/Lrk8mY4vdT8mOvxEsd5N01iV6hyaEELpQLBZMyZ0xdkkksCWj2r3TFfdKf4+hQzzmU05C3X+QYP5B1P0HIRBAzc1Hzc3Hf2yfTkfFPdmJHTB2TDiSaHeIQ2mmVVeEEK1HSK7yRYsWoaoqgwcP5sMPP2zUkk1Op5MPP/yQ0047jY0bN/LDDz9w7bXXhiIsIcRRAp4sTFYw2VP1DkW0EFtcR3pd/T4737sBW9xePHufJPt7Nynnyt+xQoj26+jK3pWj04HNOwjuzq5xr7SmqqiHClEPTxVX8w8SzDtQMW28qATN5SbochPMyKx+EoMBQ0Isho4Vo9nGxA5VhdCU6EipEi5EmAhJMr13714UReG2225r0trHZrOZqVOncvvtt9e4v1cIESr7AbDF99I5DtGSLJHR9Ln+Xbb/bwq2uF34Cp5nz5cuul10q96hCSGEbkz9e2Psnlo1Ol1XBW/FYMDYIR5jh3jMJ1VfHUEr9xLcf7AqwVb3H0m08fpQ9x9C3X+IwMZt1U9us2LsWDGabah8rky0rbK6jRBtSUiSabu94n6Rvn37NrmPymMjIiJCEZIQ4iiqqmJ2FAHgTB2gbzCixZnsTtJu/B/bZt+CLXYzwbLX2fWJix6XT9M7NCGE0MXRo9NlH39NcHcWzrumNGrEWLFZMaV2gdQu1bZrmoZWXFpjJFvdfxD1QAGUewlm7SWYVbOgrBITVWMk29ApAUN8rBRBE6IVCkkynZKSAlRU6m4qt9uNoiikpsoU1MaaNGkS+fn5Va/T09Orfv7++++54IILql6fe+65TJsmH6DbG0/uHoyWAJqqENVDkun2yGix0vemt9g2609Yo38F7X12vFdK72v+DoAnr4j8n3cS8Hgx2a10GtYLe2KMrjELIURzqhyd9v6wPKTrSiuKghIThSEmCtJ6VtunBQKoBwqOJNr5BypGtfMPorncaEUlBIpKCGzLOCbYw0XQjhnJNnRKwOCU5UqF0EtIkumxY8ditVpZunQpEyZMaFIfS5YsISIignHjxoUipHZl6dKlZGZm1rrv2KWxpLhb+1Syq+ILFr/LiSlCKo+2VwajibQpr7B9zl+wOJZhNH/FxpcPUbT9FPat2E5k6kFSztlOxsd9WDM9gc6j+tL/prHEDUjRO3QhhAg5RVGIuPhcyj6ZT8TF57bIfcyKyYSxc0eMnWsWA1XdniP3Zh8eza4ognao/iJoDvvhwmdHEuyKImjxKGYpgiZEc1I0TdNC0dHdd9/Nm2++ya+//kqfPo1b5H779u2ceuqp/OlPf+Lpp58ORTgixNxud1WFdpfLVbVuuGgbdn78Twx8THlBd/rf+rHe4YhWYPu7j2CyzAdg/68pZC/sTd8bfsHRuRT3vki2zhmGYjQCMOKpa0gee5Ke4QohRIOVlJQQHR1NcXExUUctjdVWaaqKWlBUkWDvP3g40T5q7ey6KAqG+NhaE20lJkqKoAldhNv1GbJk2ufzce6557Jt2zZeeuklfv/73zfouM8//5ypU6cyfPhwPvvsM1n/tpWSZLpt2/LmVKxRP+NznUHfG/+jdziiFSjYmE36zAdJPXcrAMW744juXlC1f8dHQyjZHQ9KRQGesW/dLiPUQog2Idw+rNdH8/qOSrArp45XJNqUe+s+0Go5Krk+av3sjgkoNmvLvQHR7oTb9dmguR9z5sxpUGc33HADTz/9NFdccQVJSUmce+659O3bl9jYWKzWigvT5/NRWFjI1q1bWbhwITk5OZx66qlceumlvPPOO9xwww1NfzdCiFppgYqp/pboHjpHIlqLzW8t4uD6VILlRrpN3ER09wI0DRQFNBWSRu2kZHccaBUjF1veXMQZMybpHLUQQoijKVYLppQkSEmqtl3TNLSS0qr7sY++R1s9WAheX1URtBrTxmOiMHZKwNCpYs1sY6eK9bOlCJoQNTVoZNpgMDRqKkhll8c7prZ2wWCwwecRLUdGptu2bbNGYXaWYU/5B4kjztc7HKEzT14RX1/0Tzj8d3DnMzJIOnN3jXZVo9MAisLEL/8qRcmEEK1euI18hZoWCKAeLKg10dZK6ykmbDJi6BBfPdFOlCJoonHC7fpsVFWCxs4Ib2j7hibfQojG85UUYnaWARDVY6DO0YjWIP/nnVWJNGhE9zyIpoJy1IBDtdFpFNA09v+yk24XnaZHyEIIIUJEMZkwJnbEmFhHEbTD62VXqzZeWQRt337Ufftr9umwV92PXW39bB2LoKkFRaiuhq80ZIh0YoiNbsaIRDhq8J/u2NhYBg5svg/i6enpFBUVNVv/QrRXxRkbAAiUWbB3TDpOa9EeBDxeMCigakR1L8DRubRGG8UAjs6lRHUvOHzvtILfXc/9d0IIIdo8g8OOoXsqpu7Vl6qtKoJ2zEh2MK+iCJrm9hDclUVwV1b1DiuLoB2daLdAETTNH6DkmVfqL9B2DCU2mujp90kFdNEoDf7TMmzYMObPn99sgYwfP54FCxY0W/9CtFfunC0ABMrjdI5EtBYmuxVUDdBIGrWzxqh0per3ToPZIUVphBCiPVIMBowJcRgT4jAPqL5qT1URtKOX9To8uk25F/VgAerBAgKbtlfv1GrB2DGhqvBZtUT7RIugmYwYYqLRTCYct1xdURCkLpqG+/X3UZwOMBlP7Lyi3ZGvXoQIc96CnZjtgCJrjIsKnYb1AkUhqtuhWkelK1Ubnd6TQMehvVowSiGEEG1B/UXQXNUS7MplvdSDBRVF0LJzCWbn1iyCFh15pML4Uct6GeJjq5ZtrDcmRSHionNwzXwLzeWp8QXA0fybtqMeOITz6ovlllPRaA1Kps866ywGDRrUrIEMHDiQ8vLyZj2HEO1RsDwHsx3Mzq56hyJaCXtiDJ1HpRHd7ac6R6UrVYxOZ+BMOUOKjwkhhGgwRVFQoiMxREdCn+qriVQUQSs8kmgftayXVupCKy4lUFwK23dV79RoxNAxvmJEu1MHjIlHEm3F6aiWDJv698bYPZWyLxdi6t+71kRZ0zTKvlyIsXsqpv69m+X3IMJbg5LpJUuWNHMY8MwzzzT7OYRojxTjAQAiOsg/EuKI3lfG4c4qOW67itHpEjoOl9sEhBBChEZFEbSKe6gZXH2f6ilDzT88gl05kp1fMbKNv54iaPaIqgTb0LHi2TryFDzvfUFg845aR6cDm3cQ3J2F864pMiotmqTVTPPeuHEjBQUFnHXWWXqHIkTYUAN+zI6KhCmy20k6RyNaC03T8Jd+AihAQ1ZdUPCXfoKmXSQfNoQQQjQrgz2i7iJohcUViXXekZFsNf8AakERmqeM4O4sgruPKYJmUCibu6DG6HTFqPT3GLunyKi0aLJWk0zfd999LFiwQNaZFiKESvdsw2BSUQMGIrul6R2OaC1UP0FPHg1LpAE0gmX5oPrBaGnOyIQQQohaKQYDxvhYjPGxmPsfUwTN56tIrGtZ1otyL8HMnBqj0xWj0tlgMFDyf89giIvBEBtd8RwXg1L5c2w0ij1CvkwWtWo1ybQQIvRK92wEwO+OwmAy6xyNaC0Uo4Uu58wh6C2q2lZ+qJSCTdkEynyYIixY4wKU5T6DYgBnt78SN+AsFEmkhRBCtEKKpe4iaGpJKa7n3qTsy++rRqc1TaNs7oLDy0SqqIcKUQ8V1n0Cq6V6sl31HIMhLhpDbAyKRT5ntUfNkkyXlZWxceNGcnNzcblcDRpt3rt3b3OEIkS7VnZgB0YTaMEOeociWhmTPRGT/UiFd2ssRPcaWq3N5lc/xxa3g4Nrv6bj0D+0dIhCCCHECVEUBWN0FPY/TMQ1862q0enA5h0EM3Nw3DEZU5fEijW0C4srnguKUAuLUAuKUQuL0Vxu8PrqvFe76lxOR+0Jd+XodnRkgyqRi7YlpMn01q1b+b//+z++/vpr/P5ji9zXT9M0mT4hRIj5XZkYY8BoS9Y7FNEGxZ9yE+49D2CJ2oQreyfOFFkaSwghRNtzbGXvygre5pPSUBQFQ1xMncdqPt9RiXbx4UT7qOS7sBi8PjSXm6DLTTCrjgFCg6GiuvlRCXaNqeUOu+RDbUzIkukff/yRCy64gPLycjStoffhCSGalZYHgDVOkiDReJ2GnsPmtYnYYvPIWfgSfW98Tu+QhBBCiEY7et3pso+/blQFb8ViwdipA8ZOtc/y0zQNzVNWLcHWjh3lLiwBVUUrLCZYWEwwI7P2k5nNVdPGjzwf9XNsNIrNeiK/ChFiIUmmA4EAN954I2VlZVXbrFYrqampxMXFYbPZjttHeno6RUVFoQhHCHGYyVYAgCO5n86RiLYqsttV+Iufx2hehbe4AGu0LJElhBCi7akcnfb+sDyk60orioLisGNw2Gvcs11JU1W0EtdRU8iPHuWueNZKXOD3o+YfRM0/WPf57BH1FkszxEbLdPIWFJJkeuXKlezatQtFUUhLS2PGjBmMGzcOs7nhN+KPHz+eBQsWhCIcIQTg2Z+LKcIHQHTPgTpHI9qqLuOuYvvsN7FElZI1/yV6X/2w3iEJIYQQjaYoChEXn0vZJ/OJuPjcFp1OrRgMKDFRGGKigNRa22h+P2pRyVEj2sU17uWm3FuxBJinjGDOvjpOplRMJ6+1WFrFKLfidKAYDM32ftuTkCTT6enpQMVo9IIFC0hOlvszhdBbya4NAPhdEViiYnWORrRVBqMJS8xFoL6HWv49Qd/9GC0yxUwIIUTbY+7XG/PDf9Y7jFopZjPGDvEYO8TX2UYrK6+3WJpaWASBIFpRCcGikoqlv2pjMlZNG6+tWJohLgYl4vgzi0WIkmm32w3A8OHDm5xIT5s2jauuuioU4QghAE/uVgCCvrr/UhaiIVLH/5FdH3+K2ekh+7vZdLvoVr1DEkIIIdodJcKGsUsixi6Jte7XVBXN5T4yjbzqnu0jo9xacSkEgqgHDqEeOFT3yWzWIwn2UVPIq17HRKOYZZXlkPwGUlJSAIiPb/qH9nPOOScUoQghDvMV78LiBMVU+/07QjSUye5EM5wFfE9Z3qeo6i0YZHqYEEII0aooBgNKVCSGqEjollJrGy0QqJhOXlextIJiNE8ZlHtRc/NRc/PrPl+Us/ZiaYenlStRzrCfTh6SZPrMM8/EaDSSlZUViu6EECGg+nIBMEd11TkSEQ5Szr+T3IU/YI0pIG/5PJLOukTvkIQQQgjRSIrJhDEhDmNC3QVFtXJv1bTx6qPcR7bhD6CVuAiWuAhm5tTekcFQY0Tba214Ta22ICTJdGpqKtdeey3vvPMOGzZsYODAxhc7mjx5Mj/++CMZGRmhCEmIds9gqqgEae+UpnMkIhzYOybh95yCNXoNRVvmSDIthBBChCnFZsXYuSPGzh1r3a9pGprbU2+xNK2oYjkw9VAh6qHCqmM9Pm9LvY0WEbKJ7q+88gpbt27lsssu46uvviItrXEf4PPz89mzZ0+owhGiXQuUeTA7XQBE9RikczQiXHQe8ycO/XYjtrgsDm1YTfzAEXqHJIQQQogWpigKitOBwemA1C61ttGCQbTi0urF0gqKMOfmtXC0zatByXRDp2/PmTOH6dOnM3jwYC6//HIuuOAC+vXrR0xMzHGXyTp6jWohxIkp2bUJxaAR9JmwJ3XTOxwRJmJ6DST3h17Y4naSv/q/kkwLIYQQolaK0YhyeGo3PY/cchgoKYG/3KZfYCHWoGS6W7dujVqLTdM03n//fd5///1GHdOS670JEc5cWZsA8LtjpFCUCKn4U27GvecBLJGbcOXswpncQ++QhBBCCCF00ahP2ZqmHfcBVEuKG3qMECJ0yg/tPPxT7fe6CNFUnYaeQ3lhJwxGjZyFL+odjhBCCCGEbhqcTDc06W1KoiwJtRChFfBU3JphsqfqHIkIR86uVwFgNK3EW1ygczRCCCGEEPpocDJ9wQUXoKpqsz3OP//85nyfQrQz+wGwxffSOQ4RjpLPuRpfSSRGa4Csb17WOxwhhBCiWX3zzTek9evPt99+q3coopWRmymFCDOqqmJ2FAHgTB2gbzAiLBmMJizRFwKgli0gGGbLXAghhBCVAoEA99w7je1bt3D3PfcSCAT0Dkm0Ig1KpqOionA6nc0ayMCBAznrrLOa9RxCtAee3D0YLQE0VSGqhyTTonmkjP8jgTILZqeH7AVv6x2OEEII0SzeeOMNtm/byuhHXmD7tq28+eabeockWpEGVfMuKipq5jDgmWeeafZzCNEelOxKB8DvcmKKsOscjQhXZkckGmcBCynb9wmqerNUjhdCCFFDVlYWBw8ebHD7hIQEUlNbR82XkpISHn70UXpPvIq0313Lvl9X8LdHHuGaa64hMjJS7/BEK9CgZFoI0XZ48rdhANRAgt6hiDCXcsGd5C5chDWmgLwVX5I06mK9QxJCCNGKZGVlkdY3jfKy8gYfY7Fa+OzTz+jcuXONfQkJFZ9t6krO9+3bV2MQMCYmpta+KvurL3F/5plnKC4u4bzbHwLgtNsf4uOFX/DMM88wffr0hrwdEeZClkyPHTuW4cOH89RTT4WqSyFEE/hLMrFGgcGSpHcoIszZO3bB7xmCNfpXijbPkWRaCCFENQcPHqS8rJwOV3bD0jGi2r5AqZ/972SgBaqv6uPz+rjwwgtr7c9sMaMoCj6vr/YTKkAjFgmqK3FPSEhAURT+/eyznHTtn3B26gKAMzGZAddM5d/PPsutt95KcnJyw08mwlLIkuklS5Zgs9lC1Z0Qoom0QC4AlugeOkci2oPOo//EobVTsMVlcmjjz8SfNEzvkIQQQrQylo4RWLscc+vZXg9aQKuRaNeVZAP4fX6AWpNz3/4yDny4p1H91ZW42yJsTBg/AZM9ksGT7qq27+TJf2bHvP/xf3/7G2/Pnn3c9y7Cm0zzFiLMGC2HALAn9dU5EtEexPQeRO6intjiMshf+Yok00IIIRqlRqJdR5INRxLmWpPzJvRXm8pzfPbZZ5z54Awsjur3RlsckQy55QH+98+/cPef/8yQIUMa/mZF2AlpMv3zzz8zduzYJh9vMpmIjY2lW7dujB49mvPPPx+j0RjCCIUIb76SQszOMgCiegzUORrRXsQPuRl35oNYojbi2rsbZ5fueockhBCijasvYW6J/qK7dKXvxdfVuq/vJdez+cNXuXfaX1j0w0IURQlVmKKNCWkyXVhYyNKlS0PS17///W9SU1OZMWMGl156aUj6FCLcFWdsACBQZsHeUe6ZFi2j07Bz2bzueWyx+eR8/wJ9J8/QOyQhhBDihKSefSEGU+2pksFkIu2yySx59iG2b99OWlpaC0cnWouQrmOiaRqaptV4XdfjeO0yMzO5/PLLmTFDPpgJ0RDunC0ABMrjdI5EtDfOrlcCYDCuwltcoHM0QghxfPuLPOzYW1j12F/k0Tsk0YpkLf4KNRCodZ8aCLDts9mcPW4cffr0aeHIRGsSspHpWbNmoWkaL7zwAmvXriUpKYlzzjmHfv36ERMTU1WczOv1UlhYyNatW/nhhx/IycmhV69e/PWvf8VkMuFyucjNzWX16tUsXboUVVX561//ytChQxk1alSowhUiLHkLdmK2A0qi3qGIdib5nGvYPnsWlqhSsr95hV5X/Z/eIQkhRJ32F3mY/O9v8AfUqm1mk4HZfxlPx5jQTS0WbVfx3ky2zn2H/r+fXGPf1i/+R+GeHcz47EOZ4t3OhSyZvu6667jkkkvIycnhww8/5A9/+EODjvvkk0+48847mTNnDt9//z0Wi6Vq39atW7nmmmtYt24djzzyCIsXLw5VuEKEpWB5DmY7mJ1d9Q5FtDMGowlz9ETQPiBQ9h1B318wWqx6hyWEELUqdnurJdIA/oBKsdsrybQAYMLEiSx97Sl6XfD7akXIfK4S1r7+NNffcAMnn3yyfgGKViFk07wfeeQRli5dyo8//tjgRBrg8ssvZ+nSpfz222/cd9991fb17duX7777jtjYWJYtW0ZeXl6owhUiLCnGAwBEdOitcySiPUodfyuBMgsWp4ecBXP0DkcIIYRosj9NnUrAXcr6t2dW277u7ZkEPS7+8cQTOkUmWpOQJNNut5uZM2dy++23N+m+gT59+nD77bfz+uuvU1paWm1fhw4duPHGGwFYsWJFKMIVIiypAT9mRwkAkd1O0jka0R6ZHZFonAWAZ98nqKp6nCOEEKL5/OfzX3l/8RZ+3JDDrn1FZO0vqbo/Omt/Sa3HHN1G7qFu3xITE/nLtGlsfPclXPl7AXDl5bDpvZf5y7RpJCcn6xyhaA1CMs37hx9+wO12M2bMmCb3cfbZZ/Pvf/+bH374gUsuuaTavjPPPJMZM2aQm5t7YoEKEcZcmdsxmFTUgIHIblJVUugj5YI7yf1hEdaYQ+St+IqkUb/TOyQhRDu1aF0Wy7YcrHO/AmhHv1bg6Q9/rnot91CHjm9/WYO2tTZ//etfefX111nzypOM+ftLrHnlSaKjo7j//vv1Dk20EiFJprOzs1EUBbu96X/ZVB6bk5NTY19CQgJAjVFrIcQRJXs2AuB3R2EwmXWORrRX9o5d8LuHYI3+laLNb0syLYTQzTVn96OgDHIOlpK1vwSPt3plZu2Y9toxG/wBlUffXkFCTAQOmxmnzVLxHGHGYav+cEZYqn62mAxSlOqwhIQErBE2Dny4p842xybVDUmy60vOm9JfXSIjI5n+2GNMnTqVxCEj2TH/Q1555RUiIyOPf7BoF0KSTLvdbgC2bdvG6NGjm9TH1q1bASgrq/kHvqioCKCqIrgQoqay/dsxmkALdtA7FNHOJZ41lYJ1N2GLy6Rg0y/EDRiqd0hCiHboyjF9iYqKAmDH3kKmvrCw0X3s3FfEzn1FjTrGbDRUJNaHk25ntcS7ZkJetb8yIbeaMBpDunqtblJTU/luyc/c//L8GvtuHtuNO26dVGeiXVsSHCj1o5iUupNzhUb115B2N998M8//ZybLpt9F3379uemmmxrUj2gfQpJMd+nSBU3T+O9//8uUKVMw1bHAeV0CgQCvvPIKiqLQpUuXGvt37dqFoih06CBJghB1CbgyMcaA0Sb38Ah9xfYZzL7FPbHFZZC38hVJpoUQbdZNFwwkym7BXe7HVebHXV7xcJX7Kn4+apvb60fTwB9UKXJ7KXJ7m3zeCIupKum2H5OQHz0KfmSbudrouc1ibDWj40ldkolK7FFj+5hx57Bj23YOHqw+FX/fvn1cdvnv6x3NPpbFauGzTz8DjgzCVfL5fNw29fZG9WeLsFXNjDWZTDw341nuvncaz814ttF5jghvIfnTMHbsWAwGA+vXr+fqq69m9uzZOByOBh3rdruZPHky6enpGI1Gxo4dW6PNnDkVVWF795YKxULURdMqqt1b43rpHIkQEH/yTbizHsLi3IBr726cXbrrHZIQoh2LdlgxmwzVlsNSlOpTu499bTYZGHtyaoPvmVZVjTJf4EhyXe7HVeY7nHz7ayTflQl5ZZLuKfdT7g8CUOYLUOYLcLCkaVOUDQalxsi301aRmB+dkFcbNT8mITebmj46vr/IQ/HhLxPqK/aW2jGKyE6RRDus1X7PtSXZ9UlISCA1NbXO/ePGjTuh/saPH8/48eMbfLxoPxRNO/YOkaa54oor+OSTT1AUhfj4eP74xz9ywQUXMHDgQKKjo6u1LS4uZsOGDXzzzTe8/vrrHDp0qKqP999/v6pdMBjk7rvv5qWXXsJqtVJYWChTvXXidrtxOp0AuFyuBn9ZIlrO9rfPwGT3EtlrBh2GnKV3OEKw+bUJ2GL343OPpu/kZ/UORwjRTpSUlBAdHU1xcXHVNG+omeAdXWys0gNXDiO1Y8UxxyZ4LSEQVBs0Cn4kOffh9lZvH1RD8tEeq9lY5wh4jSnr1iP7y3wB7nt9aaO/uJBib+1DXddnWxWyeQozZ85kxYoV5OXlcfDgQZ566imeeuopABwOBw6HA0VRcLlcVfdYA1Tm8ikpKfznP/+p2v7ll18yZcoUCgoKUBSFM888UxJpIepQfjAPk73iA0J0z4E6RyNEBWfqlQRKX8BgXImvpBBLVKzeIQkh2rGOMfbjJmupHaPo3UW/v6tMRgPRDivRDmuTjtc0jXJ/8Lij4LWNnlc+Kgu1ef1BvP4gBaXlJ/y+jh26q63YW7HbK8m0aHNClkwnJiaydOlSxo8fT0ZGBnAkUXa5XLhcrjqP7dOnD/Pnz6djx45V23bt2lU1Yg1w/fXXhypUIcJOcUY6AH53hCQsotVIPucatr89G0tUKVnfvEKvKx/SOyQhhAhriqIQYTERYTGREBXRpD6Cqobn2BHwylHwY7a5jtnnLvdTWuYjEAzN6LgQrV1I76Dv1asXGzZs4PHHH+e1116joKCg3vbx8fHcfvvtPPTQQzVGnf/85z/z5z//OZThCRG23LkV1fCD3jidIxHiCIPJjDlqAvAhAc+3BH3TMFqaNtoihBChVNs91GaTockjwuHEaFCItFuItFuadHxTK6cL0RaFvBydzWbjySef5NFHH2XhwoWsXr2anTt3VlXWi4mJoVevXowcOZJzzjkHi6VpF6oQ4ghf0S4sTlCMSXqHIkQ1KeNvZc9nn2Nxesj5/n90nXiz3iEJIQQdY+zM/sv4qnuoQZ97pMNRU4u9yRcZoi1qttruVquViRMnMnHixOY6hRDiMNW3FwBzVDd9AxHiGBZnFBqjgB9w536Mqk7BYAiP9VOFEG1bQ+6hFo137BcVtRV70zT9i70JEQryiUaIMGAwVSz3YO/UR+dIhKgp5fw7UQMGbDGHyF85X+9whBBCNLOOMXZ6d4mld5fYqoT5WJXF3np3iZVEWrRZrSaZ/utf/8q4ceP0DkOINifoLcPsrCjwF9VDKnmL1sfeKRm/+2QACjfN1jUWIYQQQohQaTXJdHp6OkuWLNE7DCHanOKMTSgGjaDPiL1LD73DEaJWiWf9CU0DW9weCjav0TscIYQQLaTyHuqjyT3SIlw02z3TQoiW4craBIDfEyP3oopWK7bPYPYt7oktLoO8FS8T1/8tvUMSQgjRAqTYW/jILcmjwFPU4PZx9hiSohKbL6BWoMHJdFZWFo888gjBYJBHH32UXr16Vdvfo8eJjYjl5eWd0PFCtFflB3disgJaJ71DEaJecYOn4Mn+PyzODbj3ZuLo0lXvkIQQQrQAKfbW9uWW5HHeG5dT5i9v8DERZhsLbv4krBPqBifTl156KevWrQNg48aNrF27ttr+PXv2oChKkwPRNO2EjheivQp4sjBZwRSRoncoQtQrccT5bE7/D7bY/eR8/wJpk/+td0hCCCGEaIACTxFl/nJmXDidnvHdj9s+49Bu7v3qYQo8RZJMA2RmZgIVSW92dnad7bSjF40TQrSAfABsCb2O004I/TlTriDgehHFuAJfSSGWqFi9QxJCiBYj02RFW9czvjsnJfbVO4xWo8HJ9DPPPMPUqVPRNI2nnnqq1jZDhw7ln//8Z5MCuf/++1mzRorSCNEYqqpithcB4EgZoG8wQjRA8rnXsn3ObCyRLrK++S+9rnxQ75CEEO2E3omsTJMVIvw0OJmeMmUKV199NZqmYbfXfs9DXFwco0ePblIgcXFxTTpOiPbMsy8TozWApkJ0z5P0DkeI4zKYzJgjJwIfEnB/S9B3L0aLVHQVQjSv1pDIyjRZ0R4F1AClXhfegJfygJcDBQf1DimkGlXNOyIiornikOnhQjRBya50APxuJ6YIKewh2oaU8bey57PPsUS6yVn4Dl0n3KR3SEKIMNeaElmZJiuOR9M0VE0loAYIqMEjz8EAQS2IPxggqAbwqwGCR+9vQrujtwXV4OG2gepttCAHXQVNei+//9/kaq/V8mAIfkOtR8iWxlq8ePEJjS7/61//oqCgaf+ThGivyvK2owCqP0HvUIRoMIszCo1RwA+4cz5GVW+UZd2EEC1CEtnwUJFotkRyeaRt1TGHk8uKtsdPQgPBY44/9pxq4KjzHmkbjmwmK2ZbeK3MHLJ309Tp3ZUGDhwYokiEaD98JbuxRoHB0kXvUIRolOTz7mDf4sXYYg+Sv2o+nc+4UO+QhBAiLGiaRkANtmxyecyxTU8uDz+CwRrJ5dFtVU3V+9esC6NixGgwYjaaMCpGTEYTJoMRk8F0+GE88mw0YVRMFW2P3n7Us9FgxFz5fLh99T6PtDvoPsSbv7zb6Jjfvfq/DEkaiMVoQVEUSkpKiH4guhl+O/oIr68GhGhntMA+ACzRx5+yJkRr4khMwe8ejDV6LYUb35ZkWggRcit2/0xklBNFMZBZmNOkPn7O+pW9xbkED0+5rRwRVdUgAS2Iqh5+rQUPJ7BBgtrhZ1U96ucg+91Nu1d02tcPYzGY60lYaybJ7ZGCgtloqpEkViWaRiOmw8lizf21JJnHSS6rjjeaMB1ObCu21ZXYGo9JbE11nLP2dkaDAYOi3yyujXlbm5RMOy1OrKbwrY3SbMl0YWEhCxcu5KeffiI7O5vi4mK+/fbbqv2LFy8mJSWFXr1kOR8hmspoOQSAvbNMWRNtT+KZUylIvwVb3G4KtvxKXL9T9Q5JCBFGpn5xHwab8YT6+Mfi50IUTdPtPLg7JP3UTC6PJIHHTy5NmI3G2hPFo5LLY/tqzuTy2HZ6Jpqi/Qp5Ml1YWMgDDzzAO++8Q3l5RcVETdNQFKVau7feeov33nuPCRMmMGPGDHr37h3qUIQIa77SYsxODwBRPQfpHI0QjRfbdwj7lvbAFreLvOUvE9fvTb1DEkKEkbQOvTDaTKiaSpm/nOzivY3uo09CT5xWR1XSZlQMh5+N1V8ffpgUIwaDEZPBiEExHH6ueF3gKeTjDfMaHcPfxt5Lz/juDU4uaxtJNSiGGp/FhRAnLqTJ9IYNGxg/fjz79u2rNYE+lqZpzJ8/n6VLl/Lpp59y7rnnhjIcIcJa8c6KSt6BMgv2jkk6RyNE08QNmoIn529YnOm492bi6NJV75CEEGHio+veJCoqCqiYonrx29c1uo9/TXwsZAXLNuZtbVIyPTTlFCmaJlqNjEMNmynR0HZtXciS6f379zNhwoSqRBrAYDAQExOD2+3G6/VWa//qq68yYcIEnnrqKTZu3Mill17KunXrZNq3EA3kztkMQKA8VudIhGi6jsPPY+uG/2CLPUDOwhdJm/QvvUMSQgghxDHi7DFEmG3c+9XDDT4mwmwjzh7TfEG1AiFLpqdPn87evRXTZ6688kpuu+02hg8fjs1mY/z48SxYsKBae7vdztVXX83ll1/O5MmTef/997n//vv57LPPQhWSEGHNW5iBOQJQQrv+pRAtyWAw4Ey5goDrJRTDcnylxVgiw6fKpxBCCBEOkqISWXDzJxR4ihp8TJw9JuTrtLc2IUmmvV4vb775Joqi8MYbb3DjjTc2+Fiz2cysWbP45Zdf+Oqrrzh48CAJCbJmrhDHEyzPwRwBZqdMixVtW/K517F9zttYIl1kzX+FXlc+oHdIQgjRbGSarGirkqISwz45bqyQJNPLly+nvLyciy++uFGJdCWLxcItt9zCAw88wKpVq7joootCEZYQYU1R9gMQ0UGK94m2zWAyY4ocD3xMwP0NamAaBpNZ77CEEGFIz0RWpskKEX5CkkxnZGSgKApXXHFFk/s45ZRT0DSNXbt2hSIkIcKaGvBjdpYA4Ox2ks7RCHHiUsffzp7P5mKJdJOz4H+kTpiid0hCiDDSGhJZmSYrRPgJSTJdUFAAQEpKStMDMVWE4vF4QhGSEGHNlbkdg0lFDShEdZMKn6Ltszij0DgTWIQr5yNUdTIGg6wZKoQIjdaSyMo0WSHCS0iSaafTCUBRUVGT+9izZw8AMTExJx6QEGGuZM9GAPzuKJkOK8JG8nl3sm/xEmyxB8lf/S2dT5+gd0hCiDAiiawQItRC8rV/SkoKmqbx7bffNrmPDz74AEVR6NatWyhCEiKsle3fDoAW7KhzJEKEjiMxBb9rEACFG2bpHI0QQgghRP1CkkyPGTMGk8nEG2+8werVqxt9/OzZs/nuu++wWCyMGTMmFCEJEdYCrkwAjLZknSMRIrQSz/wTmga2uN0UblmrdzhCCCGEEHUKSTIdHR3N73//e3w+H+eddx4zZ86kvLz8uMcdOHCAe+65h5tvvhlFUbj22muJiIgIRUhChDVNywPAEttD50iECK3YfkPwFlb8ud63/CWdoxFCCCGEqFvIqrs8/fTTREZG4na7ueeee+jcuTOXXXYZjz/+ONnZ2QC89tprzJgxg7vvvpvRo0fTpUsXZs6ciaqqxMTE8Pjjj4cqHCHCmslaCIAzuZ/OkQgRenGDKpZYtDjTce/L1DkaIcJXeXk5jz32GGlpadhsNpKSkpgyZQp79+5tcn//93//h8ViYfLkyfW2nT17Noqi1Pm45JJLmhSDEEK0pJAUIAPo2rUrn332GRMnTsTv91NcXMzcuXOZO3cuAJqmcfvtt1c7RtM0AGw2G1988QVJSUmhCkeIsFV+MA+T3QtAdK/BOkcjROh1HH4+WzfMxBZ7gJwFL5I26V96hyRE2CkvL2fcuHFs2LCB2bNnM378eDZv3sx1113HkCFDWLlyJb169Wpwf4sXL+bWW2/l4MGD+P3+Bh0TERFBampqrfuSk+U2JiFE6xeyZBpg3LhxrFixgquuuoqMjAw0TUNRFICq50qViXSfPn344IMPOPnkk0MZihBhqzgjHQC/OwJLVKzO0QgRegaDAWfyHwi4X0YxLMdXWowlMlrvsIQIK48//jgrV67kxRdf5LLLLgPg1FNP5aOPPmLw4MFMnjyZ5cuXN6iv999/n9tvv51//OMf2O12pkxp2Drxw4YNY8mSJU19C0IIobuQL+J56qmnsmXLFmbNmsWYMWOwWq1omlbtYbPZOPvss3n77bfZuHGjJNJCNII7dysAQW+czpEI0XySz7seX6kDk81P1jf/1TscIcJKWVkZL7zwAhaLhUmTJlXbN3DgQEaMGMGKFSsanEx3796dzZs386c//anG4IkQQoSzkI5MV3VqMjFp0iQmTZqE3+8nMzOTgoICAOLj40lNTcVslrVxhWgKX9EuLE5QjHJbhAhfBpMZk3MC8DEB13zUwL2yproQIbJo0SJcLhdDhw7F6XTW2H/GGWewatUq5s6dy5lnnnnc/kaMGNEcYQohRKsX8pHpY5nNZnr16sWwYcMYNmwYPXv2lERaiBOg+ioKw5ijuukbiBDNLHX8bQTKzVgi3eR8/47e4QgRNtavXw9UjCjXpnJ7enp6s8Zx8OBBbrvtNrp3747NZiMhIYELLriAefPmNet5hRAiVJplZFoI0XwMpoMA2Dv10TkSIZqXJTIaTT0TWIwr+yNUdRIGQ7N/ByxE2Nu3bx8AcXG13y4UGxtbrV1z2bJlC5dccglLly4lMTGRbdu2cd9993HxxRdzzz33MGPGjHqP93q9eL3eGtt37NgBQElJSbPELYRousrrMhgM6hxJaLSaZHr8+PF8//33BAIBvUMRotUKesswO10ARPUYqHM0QjS/5PPuYN+SpdhiD7D/p+9IHDle75CEaPM8Hg8AFoul1v1Wq7Vau+ZwzjnnsGrVKoYNG1a1beDAgXzxxRf07NmT5557jrFjx3LhhRfW2cdTTz3FY489Vuf+lJSUkMYshAid/Pz8qi/u2rJWk0zDkQrfQojaFWdsQjFoBH1G7F166B2OEM3O0bkrPtcgbDHrKEifJcm0ECFgt9sB8Pl8te6vHO2tbNcckpOTa13+ymazMWXKFJ544glmzZpVbzL94IMPcu+999bYvmvXLoYMGcL27dvp1KlTSOMWQpyYzZs3M3LkyLC5Nps1mS4uLsblcjVoGL+srKw5QxEiLLiyNgHg98TIdFfRbiSeeTtFG2/FGruLwi1rie03RO+QhGjTEhMTAaqKwx6rsLAQgM6dO7dYTEerXN9669at9bazWq1Vo+hHq1y7WlVVoqKiQh+gEKLJTKaK9NNoNOocSWiENJn2+Xy8+uqrfPTRR6xbt65R04OOXpNaCFG78oM7MVkBLTy+zROiIeL6nUresu7Y4naTt/wlYvu9oXdIQrRplUuS7t69u9b9ldsHDRrUUiFVo6rqCR1f+WG98ksBIUTrEW4DqCEb2srNzWXw4MHcfffdrFy5ErfbXWN96boeQoiGCXiyADBFyH1gon2JHXgjAGZnOu68bJ2jEaJtO/vss3E4HKSnp+N2u2vsX7lyJQC/+93vmi2GxMRE5s+fX+u+jIwMAPr27XtC5yguLpbPmUK0MpJM1+Haa69l27ZtQOPvfZa/6IRoqHwAbAm9dI5DiJbVacQFlBcmYDCp5Cx4Qe9whGjT7HY7d9xxB16vlzlz5lTbt2nTJlatWsXIkSMZNWpU1fbFixczbNgwXnghNNdffn4+X375ZY3t5eXlvPXWWwBMnjz5hM4RCASkorcQrYjf78fv9+sdRkiFJJneuHEjS5cuRVEUIiIimDZtGosWLSInJwePx4Oqqsd9nH/++aEIRYiwpaoqZnsRAI6UAfoGI0QLMxgMOJOvAEBhOT6XfEAW4kQ88sgjjBgxgr/+9a98/vnnlJWV8dtvv3HFFVcQHx/P7Nmzq7V/9tln+eWXX3jooYdCFsNrr73G3//+dzIzM/H5fKSnp3PxxRezb98+7rzzTi666KIT6t9kMslUbyFakXAblYYQJdOrVq2q+vnLL7/kX//6F2PGjCEpKQmbzRaKUwjR7nn2ZWK0BtBUiO55kt7hCNHiks+7Hl+pA1OEj6xvXtE7HCHaNLvdzuLFi7nnnnu4//77iYmJYeLEiQwbNoy1a9fSp0+fau2vvPJKIiMjmTJlSq39KYqCoijceGPFLRlvv/121bZjE3OoWGP6kUceYcGCBYwcORKn08k555yD0Whk7ty5zJw5s8nvzWq18uijj9KxY8c6i6wJIVpeWVkZZrOZhx9+uNbigW2RooVgjvXTTz/NQw89xJAhQ/j111+b1MeMGTPYsGEDs2bNOtFwRDNwu904nU4AXC4XDodD54jan9wf51KeNx1fqZO+U5boHY4Qutj54dMYDJ/gK3XS54bvMZjMeockhGilcnNz2b59O2eeeWZVUTIhhH52797Nvn37OP300/UOJWRCMjLdsWNHALp3797kPu69915JpIWoR1nedgBUf4LOkQihn9QJtxMoN2OJdJHz/bt6hyOEaMXi4uIAqeotRGtRVlbWrOvX6yEkyXTlEgsylUaI5uMrqViqxGDponMkQujHEhmNpp4JgCv7wxNeQkcIEb5sNhsRERGSTAvRSng8HiIiIvQOI6RCkkyfcsopnH766axevbrJCfWMGTPqvA9HCAFaYB8AluimzwARIhwkn3cHakDBFnuA/T8t0DscIUQrFhcXR0FBgawcI4TONE2Tken6vP3220RGRnL99dfj9Xobffz333/P22+/HapwhAg7RsshAOydT2zdTSHaOkfnrvhcgwAoSH9L52iEEK1ZXFwc5eXllJeX6x2KEO2az+cjGAzKyHRdevbsyfLly3G5XAwcOJDXX3+dnJycUHUvRLvmKy3G7PQAENVzkM7RCKG/xDNuB8Aau4vCrWt1jkYI0VrFxMSgKEqL34r497//vaqa+dGPPXv2tGgcQrQWlctitZaR6VBdoyErbdijRw+gYgg/MzOT2267Daj4hcXExGA2119xNS8vL1ShCBF2inemAxAos2DvmKRzNELoL67/aeT92B1b3G7ylr9MbN/X9Q5JCNEKGY1GoqOjKSgooEuXlq05kpyczC+//FJtW4cOHVo0BiFaC4+nYlCoNS2bHIprNGTJ9J49e1AUBaDqWdM03G531S+vPpqmVR0nhKjOnbMZgEB5rM6RCNF6xJ40ibLcv2N2rMedl40jMUXvkIQQrVBsbCxZWVmoqsratWv5/vvv+fnnn/npp5/Izc3FarU2aBp4eXk5Tz31FO+//z5ZWVnExcVxwQUX8Pjjj5OcnFyjvdFoJDExsTnekhBtTllZGTabDYOh/onRv/76a5u6RkM2zRsqEuKjH3Vtr+0hhKibtzCj4gdF/lEWolKnkRMoL0zAYFLJWfCi3uEIIYCsrCyioqJQFIUlS5Y0+vgvv/yS8ePHk5CQgMViISUlhZtvvpns7OwmxxQXF0cwGKSkpITp06fz4IMP8vnnn5Obm9vgPsrLyxk3bhyPP/44LpeLiy++mJSUFGbNmsUpp5xCRkZGjWPy8vJISUkhOTmZ8ePHs3Llyia/ByGaYsmSJbVOZT72MWbMmAb3WV5ezmOPPUZaWho2m42kpCSmTJnC3r176z3O4/E0aIp3W7tGQ7qC/dixY3n44YebdOz999/PmjVrQhmOEGEjWJ6DOQLMzq56hyJEq2EwGHAk/4Gg+xUUfsTnKsHijNI7LCHatZtvvpnS0tImHXvPPffw/PPPc+mll/Ljjz+SkpLCr7/+yq233srJJ5/M0qVLOemkkxrdr9PpxGw2U1hYyMiRIxk8eDBDhw5l6NChDR6VevLJJ1m5ciUjR45kwYIFOJ1OoGI1mmnTpjFlyhSWLl1a1X748OHMmTOHvn37UlxczGuvvcaoUaP49ttvOffccxv9HoQ4EWlpabVuV1WVHTt20K9fvwb1U5mwbtiwgdmzZzN+/Hg2b97Mddddx5AhQ1i5ciW9evWq9diysjJiY48/w7LNXaNaiCiKol199dVNPv6CCy7QDAZDqMIRIeZyuTRAAzSXy6V3OO3O5tfGaRkfnaplf/+e3qEI0aoEvOXaljfP0jI+OlXb+dEzeocjRLv26quvajExMVrfvn01QFu8eHGDj50/f74GaD169ND8fn+1fZs3b9YMBoN28skna8FgsEmxbdq0SVuzZk2N7YBmtVrrPdbn82kxMTEaoP3222819g8aNEgDau3/aKNGjdLOPffcxgUuxAlYvHixVl+69/nnn2uAtmHDhgb19+CDD2qA9uKLL1bbnp6erimKop1xxhm1HqeqqrZkyRItJyen4cEf1tqv0ZBO8z4Rmkz3FqJWasCP2VkCgLNb47+RFyKcGS1WTI4LAPCXfo0a8OsckRDtU1ZWFvfddx/PP/88nTp1avTxH3zwAQAXXXQRJlP1iZP9+vVj0KBBrFu3jsWLFzcpvtjYWEpLS/H7G/93xPLlyykqKqJnz54MGTKkxv7LL78cqJiiXp9hw4ZJNW/Rojp06MDvf//7OvfPnDmTs88+u0EzPsrKynjhhRewWCxMmjSp2r6BAwcyYsQIVqxYwfLly2scW15ejqZpzbYslp7XaMiS6bVr1/L00083+fhvv/0WVVVDFY4QYcOVuR2DSUUNKER1kzWmhThW6vjbCJSbsUS6yFn4nt7hCNEu3XLLLZx++uk1PmQ31L59+wDqnNJZWYn722+/rdo2ZsyYWpe1qSyKe/QjLi4OgMLCwkbHtn79egBOOeWUWvdXbq9sV5e1a9eSkiKFEkXLGTBgAJ988kmt+zZt2sTixYu58847G9TXokWLcLlcDB48uGoK9dHOOOMMAObOnVu1rfIatdvtnH322cTHx9d5jZ4IPa/RkCXTgwcPJjU1NVTdCSEOK83cBIDfHYXBVP8Sc0K0R5aoWLRgxT/irqwPdY5GiPbn9ddfZ/Xq1bz22mtN7qNyOZq6lkrNz88HYPPmzVXblixZwr59+0hISMBkMrFq1Sq6detGt27dyMrKIj4+nmXLlqFpGlarFbvd3qRkOisrC6DWasBHb69sBzBt2jQWL17M7t27WbduHbfffjuLFy/m7rvvbvT5hWgOL7zwAl27duV3v/tdg9pXJqLdu3evdX/l9vT09KptlddoXFwcRqORlStX1nmNngg9r9FWM81bCFE7z/7tAGjBjjpHIkTrlXzunagBBVvsfvJWf6d3OEK0G9nZ2fzlL3/h3//+9wmNulZ+oP/yyy8JBALV9u3Zs6fqA3pBQUG1fYmJibz22msEAgGuueYaSkpKCAaDXHvttdx0002MGjWqqm1cXBwFBQWN/uDucrkA6qxE7HA4qrUDyM3N5frrr6dv376cd955bN++nYULF3LRRRc16txCNIeioiLeeecdpk6ditFobNAxlbNHKmd5HKuyuFhlu0qJiYk8/vjjVddlfddoU+l5jYa0mrcQIvQCrkyM0WC01f5tmxACHF264nMNxBaTTsH6t0gccb7eIQnRLtxyyy0MHTqUW2655YT6+cMf/sD777/P3LlzufLKK3niiSdITU1l/fr1/OlPf6JDhw7s3bu31kT40ksvZfLkycyePZvbb7+dtLQ0ioqKmD59erV2sbGx5OTkUFZW1qAleipVnrOuqai1xfT+++83uH8hWtqbb76JqqrcdNNNDT7G4/EAYLFYat1vtVqrtTvamWeeycUXX8zcuXPrvUabSs9rVJJpIVo5LVgx5c0S20PnSIRo3RLPmErRptuwxmZQuH09sX0G6x2SEGHtjTfeYPny5WzcuPGE+zIYDHz66ae8/PLLvP3225x22mlomka/fv247bbbCAQC3HHHHURHR9d6/MyZM1myZAnvvfceNpuNn376qcaH/piYGBRFoaCgoFHJdGRkJABut7vW/ZXJQ233kQrR2qiqyksvvcQ111xDfHx8g4+rvGZ8Pl+t+71eb7V2R/N4PDz++OOsX7++3mu0qfS8RmWatxCtnNFWMaXNmdywNQCFaK/i+p9GeUE3FAXylr2kdzhChLWcnBymTZvG008/Tbdu3ULSp9Fo5M4772TNmjW43W48Hk/VOtOV07t79+5d67GRkZG8/PLLQMU01NpiMhqNxMTE1JgqfjyVNYFycnJq3V+5XWoHibbgq6++Yvfu3dxxxx2NOq6yOGBd109lPYLOnTtX2x4MBvF6vXTo0OG412hT6XmNSjItRCtWfigfs73im77oXjLKJsTxxA6YDIDZsQ5Pfu3/qAohTtzChQspKSnhzjvvrFGVd+nSpQCcffbZVduWLFlyQufbsmULAKeffnqdbT788EM6duxIbm5unRWKY2NjKSoqatQKMoMHV/z7+9tvv9W6v3L7oEGDGtynEHqZOXMmo0aN4uSTT27UcZXtd+/eXev+yu3HXgfl5eVAxYh1Q67RptDzGpVkWohWrDijouCK3x2BJSpW52iEaP06nT6B8qJ4DCaV7O9e1DscIcLW5MmT0TSt1sfo0aMBWLx4cdW2MWPGHLfPefPmceDAgRrbA4EAixYtIioqiosvvrjWYz/77DMWLVrE+vXrGTBgAHPmzOGzzz6r0S4uLg5VVSkuLm7wez3jjDOIjo4mIyODtWvX1thfufTQhRde2OA+hdDDli1b+OGHH5qUyJ599tk4HA7S09NrnU69cuVKgBrVwSunWH/33XcNukabQs9rVJJpIVoxz96Kb+KD3torJwohqjMYDDiS/gCAwjJ8rhKdIxJCHOv5559n+PDhLFu2rNr2G264gbfffrtG+1dffZX8/HymT59eVZX3aHl5edx2223MmjWLxMRE5syZg9ls5tZbb61aUquSw+HAbDY3aoksi8VSNSX2jjvuqJZIzJgxg/T0dM4880yGDh3a4D6F0MPMmTPp0qULl156ab3tartG7XY7d9xxB16vlzlz5lRrv2nTJlatWsXIkSNrVOcuKyujuLiYO+64o0HXaFPoeo1qQjSAy+XSAA3QXC6X3uG0G1veulvL+OhUbfPrt+odihBtRsBbrm15a5SW8dGp2s6PntE7HCHandGjR2uAtnjx4lr3OxwODdAuvPDCatujo6O16Oho7fPPP9dcLpeWl5en/etf/9IsFos2depUTVXVWvubMGGC9uc//7natunTp2uAdtFFF1Xb/tVXX2mDBg3STjrpJG348OEaoCmKog0fPrzq8dVXX9U4R1lZWVX7zp07a1dccUXV6/j4eG3Hjh0N/wUJoYOioiLN4XBoTzzxxHHb1nWNut1ubcSIEVpkZKT22WefaR6PR/v111+1/v37awkJCdq2bdtq9LVlyxbtjDPOaNQ1evT12Nqv0QYl0zt37tRuvPHGqscnn3zSLMGI1kuSaX1s+u8ftIyPTtV2fPCU3qEI0abs+OAfWsZHp2pb3hijBf0+vcMRIuzt3r276nPCsY/Ro0dXa3vbbbdpkZGR2nvvvVdt+z/+8Q9t9OjRWmJiomY2m7WOHTtqEydO1L7++utaz/noo49WO8+kSZNq3Q5ojz76qKZpmjZr1qw646x8zJo1q9bzeTwe7eGHH9Z69uypWSwWrVOnTtqkSZO0rKysE/nVCdEiZsyYoVmtVm3//v3HbVvXNappFUnrI488ovXq1UuzWCxaYmKiNnnyZC07O7tG2/ZwjSqadvyV6//5z3/y4IMPoigKmqbxwAMP8OSTTzZ6FFy0XW63u6qcvMvlqnWalQi9rW+ejSWqFFvHh0gafZne4QjRZvhKCtkzdwImmx9T1F2knn+D3iEJIVoJr9fLqlWr6NevH506ddI7HCHC2ooVK+jSpUtIq3e3Jg26Z/q7774DYPz48WzYsIHHH3+8RpusrKxai0YIIZom6PNidrgA/p+9+w5vqzz7OP492rZsS0dO4sQrw85OGIWQAA0ZzIRVKGUVAhQo+4W+hVJmGC1QoLRQ2rJHyn4pqxAglBWgTdghO7EznNixHVvy1JbO+4cik5DlcewjyffnutzGkc7xL4NYt57nuW9yh0uHUCG6wpanEo8luv62bXzB4DRCiFRit9txOp1dOjcthOi6SCRCJBLp0lz3dNOpYnrDhg14PB5eeuklxo8fj8Vi2ek5w4YN49xzz+12kK1bt1JVVdXt64XINM2Vy1DMGrGwGWfxCKPjCJF2io+8nHhUwaHWU7voXaPjCCFSiMfjwev10okNmkKIbgoEAgBkZWUZnKT3dKqYrqurY/z48Xt9V6En/yDNmTOHESOkYBAiqa1qOQBRvxuTSRrvC9FVOUXDCbdNBMC75AmD0wghUomqqoTD4Y6xPUII/UkxvY3ZbN7lPDG9ybuDQnwv2FABgKYNMjiJEOlr8CGXAGBXK2la+53BaYQQqcLlcmEymfB6vUZHESJj+f1+bDbbLnc1Z4pOFdOlpaUsWbKEpUuX9nYeIcQ20fbEsQdzVonBSYRIX57xkwh6h6IosOXjvxodRwiRIsxmM263W85NC9GLAoFARp+XBujU2wRHHHEEK1asYMaMGfzP//wPU6dOpbCwcKcl+0Ag0O1zz8ltAEKIpMQQ+6z8coNzCJHe3OPOIVh7G1bnN/jrNpNdUGx0JCFEClBVlfXr1xOLxTCbzUbHESLj+P1+cnNzjY7Rqzo1GquqqooJEybscau3pmkoitLtIMnrY7FYt+8heo+Mxupb8XicyucOwWyP4hrzIPkTpxgdSYi0FY/HWf34LOzuRiKBIxg95y6jIwkhUkB7eztffPEF++yzDx6Px+g4QmQUTdP49NNPGTZsGCUlmbvLstPbvF966SXy8vLQNG2XH8BuH9vbhxBiR4EtmzDbo2hxcJVNMDqOEGnNZDKRPeQUABQWEmlvNTiRECIVZGdnY7PZZKu3EL0gHA4Ti8UyuvkYdLKYBjjmmGNYsWIFN9xwA5MmTcLt1q/DsBTUQuyoed0SACLtOViycwxOI0T6Kz5qDuG2bCxZYareftjoOEKIFKAoSseILCGEvpJHeDP9zHSXquEhQ4Zw++23s3jxYrxeL9FolHg8TjweBxIFd/Lzrn4cffTRvfILzGSrV6/mr3/9Kz//+c87tihZrVby8vIoLy/n5JNP5vHHH6etrc3oqKKLArWrAYhH8g1OIkRmMNvsWLIS32cizW8Rj0UNTiSESAWqqtLe3k4oFDI6ihAZJTl2zuFwGJykd8nw2jT0/PPPM2HCBMaMGcPll1/Oc889R3V1NWPHjuWwww6juLiYdevW8eqrr3LBBRcwcuRIXnvtNaNjiy4It2wAwGQtMjaIEBmkdPalRINWbHmtbP7380bHEUKkAFVVAWSrtxA6CwQCZGVl6baTOVWlzK9Ozk933ltvvcXy5csBKC4u5vXXX2fr1q189tlnvP/++6xYsYKNGzdyyimJM4K1tbX89Kc/5eWXXzYytugCLVoDgM093OAkQmQOW55KPHYwAG0bXzA4jRAiFdhsNnJycqSYFkJnfr8/489Lg47FdDweZ/78+d2+/p133unYLi46Jzs7mw8//JATTjhhp3d9SkpKePHFFznyyCOBxJ/PxRdfLCPI0oTJ1ghA9pAxBicRIrMUH3kF8ZiCQ62jbvECo+MIIVJA8ty0LOoIoZ/+MGMaUmhlWnTdeeedR3n57mcQm0wmrrvuuo7PGxsbee+99/oimuiBcFsLtpzEOZO8sn0MTiNEZskpGk64JdEhv/HbJwxOI4RIBaqqEolE9jgCVgjReZqmdWzzznRSTKeh3Nxc8vPzO9W07YADDtjh8zVr1vRWLKGTlorvAIgGbGQPkjPTQuit4JBLALCrFTRVLDU4jRDCaC6XC5PJJF29hdBJMBhE0zRZme6JyspK5s6dy4wZMygqKsLhcOBwOCgqKmLGjBnccsstVFZW9taXz2h///vfaWho4Pjjj9/rc+12+w6fK4rSW7GETto2rwAgGlQNTiJEZsqfcBBB71AUBbZ89KDRcYQQBjOZTLjdbjk3LYROkp28ZWW6G1paWpgzZw5jxozhd7/7HQsXLmTLli2Ew2HC4TBbtmxh4cKF3H777YwZM4ZzzjmHlpYWvWOIbdavX7/D5xMmTDAoieiskHfbm0xKgbFBhMhg7nFzALBmf4O/vtrgNEIIo3k8HpqamojFYkZHESLtBQIBTCbTTot6mUjXYrqqqor999+fZ599tuMfo101c0j+XCwW45lnnuFHP/oRmzZt0jOK2ObFF1/s+PHw4cOZOXOmgWlEZ8QCmwGwOocanESIzDX40OMJNXkwWeNseldWp4Xo7zweD5qm0dTUZHQUIdJespN3f9gRa9HrRu3t7RxzzDFs2LCho1h2OByMGjWK0tJScnJyAGhra6Oqqoo1a9YQCATQNI1169Yxa9YsFi9ejNPp1CtSv/fRRx/xhz/8AUj8WcybNw+r1brX63bVgEOacvQdxVQPgGPgSIOTCJG5TCYTWUNOIR54BEX7mKi/DUt2jtGxhBAGycrKwm634/P5yM/PNzqOEGmtvzQfAx2L6XvuuYdVq1YBMG3aNK655hqOOOIIbDbbLp8fDod57733uPfee/n4449ZuXIl99xzD7fccotekfqdSCRCY2MjS5Ys4YUXXuAf//gHsViMcePG8cQTTzB58uRO3Sf5xofoe/FYFGtOMwC5w2RLvhC9qeSoc6h49hmsOX6q5j/MiFN+bXQkIYRBFEXpGJElhOgZv99PQUH/OK6oyzbvWCzG/fffj6IozJ07lw8//JDZs2fvtpAGsNlsHHvssXz44YfcfPPNaJrGAw88IGdVuunHP/4xNpuNIUOGcMwxx/DUU09x+OGH88Ybb/Ddd991upAWxmrbuAaTJU48qpA7dLTRcYTIaGabHVPWUQCEm98kHosanEgIYSRVVfH7/YRCIaOjCJG2YrEYoVCo36xM61JM/+c//6G5uZkZM2Ywd+7cLl9/yy23MGPGDJqbm/nPf/6jR6R+Z8qUKRx99NEccsghFBUlxiktWLCAq666ijvuuIO2trZO36utrW2nj7q6ut6KLrbTumEZAJH2PMy2zG/aIITRSmddSjRoxZbXSvX7LxgdRwhhIFVNTNGQ1Wkhui8QCAD0i7FYoFMxvXr1ahRFYc6cOd2+xznnnIOmaR1bxUXX3Hvvvbzzzjt89tlnbN68mWXLlnHyySezbt06br75ZsaOHcs333zTqXs5nc5dfoje569PzAHXYgMNTiJE/2B3eYjHDgagdcPzBqcRQhjJarWSm5srI7KE6IFkMS0r013Q0NAAJLpFd9ewYcMAaGxs1CNSvzd+/Hj++c9/8qtf/QqAzZs3M3PmzJ1GZYnUEm3bCIDZXmxwEiH6j+IjLiceU3CoddR9/p7RcYQQBkqem97VNBohxN75/X4sFkunmh5nAl2K6WTDqp6ME2hubt7hXkIfd999N2VlZUDiz+fyyy83OJHYEy1WC4DNU2ZwEiH6j5ziEYRbxwPQ+M0TBqcRQhhJVVWi0WiXjscJIb6X7OTdH8ZigU7FdHFxMZqm8d573X9Hf8GCBSiKQnGxrMjpyWKxcN5553V8Pn/+fDZs2GBcILFHZkfinJazaKzBSYToXwoOvhQAu3stTRVLDU4jhDBKXl4eZrNZzk0L0U1+v7/fnJcGnYrpadOmYTKZePTRR/n222+7fP1XX33Fo48+islkYtq0aXpEEtv5YSfvTz/91KAkYk+CjXVYsxMdRF3l+xicRoj+JX/CQQS9pSgm2PLRX42OI4QwiMlkwu12y7lpIbqpP82YBp2KaVVVmT17NqFQiOnTp/Pkk08Sj8f3el08HueJJ57g8MMPJxKJcNxxx3V0UhT6GTx48A6f19TUGJRE7Elz5XcARNod2F0eg9MI0f+4xyaaaFqzv8ZfL/9OCtFfeTwempubiUZlXJ4QXRGJRIhEIv1qZdqi143uvPNOFixYQGtrKxdccAHXX389xxxzDPvssw+lpaUdZ6Hb2tqoqqriu+++45133qG+vh5N07Db7dxxxx16xclY69evZ/HixYwdO5Z99923U9f88I0Ns9ncG9FED/mrVwIQC+UbnESI/mnwj09g9eN/w+72sundBxl9tnxPEqI/8ng8aJpGU1MTAwYMMDqOEGmjv3XyBh2L6fHjx/Pkk09y1llnAVBXV8e8efP2eE2yU6KiKDz55JOMHSvnRPfm448/5rzzzuPss8/e6+9v0saNG3f4fMiQIb0RTfRQqGk9thxQzPLnI4QRTCYTWYN/Sjz4KEr8Y6L+NizZ0hRTiP7G4XDgcDjw+XxSTAvRBf1txjTotM076YwzzuC1117r2KqdLJY1TdvhY/vH8vPzef311zn99NP1jJLxPvzww06PbXjnnXd2+FzOpaemeLgaAGvuMGODCNGPlRx9LpG2bCzZIarefsToOEIIAyiK0jEiSwjReX6/H5vN1q92wepaTAMcf/zxrF69mptvvplhw4btsuDTNI1hw4Zxyy23sHr1ao477ji9Y2S8zZs3849//GOvz6usrOSpp57q+HzWrFkUFRX1YjLRXSbLVgCyB48yOIkQ/ZfZZsfkOBKAcNO/iMfkzKQQ/ZGqqgQCAYLBoNFRhEgbgUCgX61Kg47bvLeXn5/PLbfcwi233MLmzZtZvXo1jY2NHY+NHj1aRmDp4NJLL2XQoEEcc8wxu3x8/fr1HHfccfj9fgDcbjd//vOf+zCh6KxYOITVmZhpmTtcOnkLYaTS2ZdR9a+3sOW1Uv3Bi5Qc+XOjIwkh+lhyl6XX66WwsNDgNEKkB7/fT25urtEx+lSvFNPbKy4ulsJZR6qqYjKZiMfjtLe3M3v2bI466ihOPPFERo4cid1up7a2lvfff5958+Z1nF0oLCzklVdeYdQoWfVMRc2Vy1DMGrGwGWfxCKPjCNGv2V0eYpGDMds/oXX984AU00L0NxaLhby8PHw+nxTTQnSCpmkEAgEKCgqMjtKner2YFvo68cQTqays5LHHHuP1119n2bJlvPvuu7z77ru7fH5RURHnnnsu11xzDS6Xq4/Tis5qq1oOQNTvxmTS/fSFEKKLio+4jNrPPsWh1lL3xb8pmHSE0ZGEEH3M4/GwefNmNE1DURSj4wiR0sLhMLFYrF918gYpptPSsGHD+N3vfsfvfvc76urqWLp0KevWraOpqYlIJEJubi4FBQXsu+++jBo1SoqzNBBsqMBiA00bZHQUIQSQU1JOuGU8DnUZjV8/LsW0EP2Qqqps2LCB1tZW8vLyjI4jRErrj528QYrptFdQUNDvtlNkomh7FRYbmLNKjI4ihNim4OCLaV51OXb3WporluEqn2B0JCFEH8rLy8NiseD1eqWYFmIvkj2aHA6HwUn6lixZCpES6gDIyi83OIcQIil/4hSC3lIUE9R89Fej4wgh+piiKLjdbnw+n9FRhEh5gUCArKysfrcjtn/9aoVIQfF4HGt24hu1s2ScwWmEENtzjzkbAEv21/jrawxOI4Toax6Ph5aWFqJRGZMnxJ74/f5+d14apJgWwnCBLZsw26NocXCVyTZSIVLJ4KknEmryYLbG2PyurE4L0d+oqoqmaTQ1NRkdRYiU1h9nTIMU00IYrnndEgAi7TlYsnMMTiOE2J7JZCJr8E8B0OIfEfW3GZxICNGXsrKyyMrKwuv1Gh1FiJSVHIslK9NCiD4XqF0NQDySb3ASIcSulBx9LpG2LKzZIareedToOEKIPubxeKSYFmIPgsEgmqbJyrQQou+FWzYAYLIWGRtECLFLZpsdk+MoAEK+fxGPydlJIfoTVVUJBoMdo3+EEDtKdvKWlWkhRJ/ToommRjb3cIOTCCF2p3T2ZcRCFux5LVR/8JLRcYQQfcjtdqMoiqxOC7EbgUAAk8mE3W43Okqfk2JaCIOZbI0AZA8ZY3ASIcTu2F0eYpEpALSuf87gNEKIvmSxWMjLy5MRWULsRrKTt6IoRkfpc1JMC2GgcFsLtpzE1pi8sn0MTiOE2JPiIy5Hiyk41Frqv3jf6DhCiD7k8Xjw+XzE43GjowiRcvprJ2/oo2I6EAiwZcuWvvhSQqSVlorvAIgGbGQPkjPTQqSynJJyQi2JWfAN3zxucBohRF9SVZVYLEZra6vRUYRIOf11xjT0UjHt9/t56KGHOPbYYxk4cCA5OTmUlJTs8Jxbb72VG2+8kerq6t6IIERaaNu8AoBoUDU4iRCiMwoOvgQAu2sNLZXLDU4jhOgrubm5WCwWOTctxA/EYjFCoZCsTOvlxRdfpKSkhMsuu4x33nmHxsZGNE1D07QdnldRUcGdd95JeXk5d955p94xhEgLIW9l4gdKgbFBhBCdkj9xCkFvCYoJqj/6q9FxhBB9RFEUVFWVc9NC/ECyy72sTOvg3nvv5cwzz6SpqWmXBfT2DjjgAFwuF6FQiBtvvJGLLrpIzyhCpIVYYDMAVudQg5MIITrLPeZsACxZXxFsqDU4jRCir3g8HlpaWohEIkZHESJlJItpWZnuoYULF3Lttdd2FNHDhg3jjDPO4Ne//jVlZWU7Pf+qq66iurqa3//+91gsFh577DFeeOEFveIIkRYUUz0AjoEjDU4ihOiswVN/QqhJxWyNsf71P7H+jS9Z+8JnrH/jS/y1TUbHE0L0ElVNHMlqamoyNogQKcTv92OxWLBYLEZHMYRuxfQNN9yApmmUlpby9ttvs27dOp599lnuueceysvLd3lNVlYW1113HS+88AKapnH77bfrFUeIlBePRbHmNAOQO2yCwWmEEJ1lMplQrEdt+/EnrPnHQ4R917P66Yd56/g/8On/Po13+SaDUwoh9OZwOMjOzpZz00JsJxAI9NuxWKBTMb1lyxY+++wzXC4XCxcu5Oijj+7S9SeddBInnngiq1atYvlyaegi+oe2jWswWeLEowq5Q0cbHUcI0UmbP1jGsocbCbfYseaEKT1qFVkD2imaVgFanNrPVvPBL/7O5g+WGR1VCKEzj8eD1+vd41FGIfoTv9/fb7d4g07F9KeffgrAJZdcQmlpabfuccopp6BpGl999ZUekYRIea0bEi+0I+15mG12g9MIITrDu2wTi657Di0KdV8mvt/Z3UEAnENayRvuRYvF0eJxFl33nKxQC5FhVFUlFAp1nBMVor9Lrkz3V7qtTCuKwtSpU7t9j6FDEw2Y6uvr9YgkRMoL1K8FQIsNNDiJEKKzVjzxQeIHGjQsKUSLf/+YFofCqRWJB7ctWq18/IM+zyiE6D1utxtFUWSrtxBAJBIhEonIynRP+f1+AHJycrp9j/b2dgDi8fhenilEZoi0bQTAbC82OIkQojP8tU1s+WQVWizxfSqnqAVlu++iiun71WkALRan5pNV0pRMiAxiNptxuVwyIksIZCwW6FRMDxyYWFmrrKzs9j2++uorFEXpuJcQmU6LbQHA5tm5270QIvXUfV4BHeckNQqnVuywMg0/WJ0G0DTqv6joy5hCiF7m8XhoamqSBSDR7yUXVGVluofGjRuHpmk8+eST3bre7/fz6KOPArDffvvpEUmIlGd2JFavnEVjDU4ihOiMqD8EpkS30rzhXpxDWndYmYadV6dRFCLtoT5OKoToTaqqEovFaGlpMTqKEIYKBALYbDbMZrPRUQyjSzE9ZcoUBg4cyKeffso111zTpQ6HgUCA0047jY0bN1JUVMT++++vRyQhUlrQW481O/EC21W+j8FphBCdYcm2Q1xjd6vSSTuendawOqXBoBCZJCcnB6vVKuemRb/X3zt5g07FtKIoXHvttWiaxn333cekSZN4/vnn9zjUfv369dx3332MGjWK+fPnoygK1113nR5xhEh5zZXfARBpd2B3eQxOI4TojIKDykFRdrsqnbTD6rSiMGhSed8GFUL0KkVRUFVVzk2Lfq+/d/IGsOh1oyuuuIJXXnmF//znP3zzzTecddZZKIpCaWlpR1F9yCGH0NbWxqZNmzq2xiRXsWfOnMlFF12kVxwhUpq/ehUAsVC+wUmEEJ2VPdjNkKmjcQ1bjBZnt8U0JI5WF06tIKfkULIHu/ssoxCib3g8HlatWkU4HMZmsxkdR4g+p2kagUCAgoICo6MYSpeVaQCr1cqbb77J5MmTOwrkeDzOhg0baG5uBmDx4sUsW7aM5uZmNE3reN6hhx7KK6+8gsmkWxwhUlqoaR0AinmIwUmEEF0x8jQPziEteyykARQlsTpdfprsPBEiE6mqCrDHXZhCZLJwOEwsFuv3K9O6Vq9ut5tPPvmEm266iby8vI6fTxbNPzxL7XK5uPXWW/noo492eL4QmS4e2gyANXeYsUGEEJ2maRqR1pcBpdPXtG38S5f6iAgh0oPdbsfpdMq5adFvJcdi9fcz07pt8+64ocXCrbfeytVXX82rr77Kxx9/zOrVqzv+scnPz2f06NFMmzaNk046qUezqYVIV4qlAYDsgpEGJxFCdFo8QsxfS8fYq07xUfXuUww95rzeSiWEMIjH46G+vh5N01CUzr/JJkQm8Pv9KIqCw+EwOoqhdC+mk3Jzc5kzZw5z5szprS8hRFqKhUPYnK0A5A6faHAaIURnKWYbRUfMIxZq6vi5YGMr3uWbiAbCWLJseMaX4MjPJR6Ps/H132HLXUPE+3fqvyhl0KTDjQsvhNCdqqps2rQJv9+P0+k0Oo4QfSoQCOBwOPr9Md1eK6aFELvWUrkCxawRC5txFo8wOo4Qogss2YOxZA/u+Nyugqt80i6fO/KsJ1n95Bk4PFU0rbwJu1qAq3xCX0UVQvQyl8uFyWTC6/VKMS36Hb/f3+/PS4OOZ6bnzZvH+++/r9fthMhYrVXLAIj6XZjM8n6WEJnKbLNTdvpjhJo8WLLCbPn4CoINtUbHEkLoxGw243K5ZESW6JcCgUC/Py8NOhbT5557Ln/84x/1up0QGSvYsBYATevfowSE6A/sLg8lsx4i0paFLa+Vda9cQNTfZnQsIYROPB4PTU1NxONxo6MI0WeSY7FkZVrnbt5CiL2L+qsAMGcVG5xECNEXcopHMODAe4iFLDjUWtY8cxHxWNToWEIIHaiqSjwe7xgDK0R/EAwG0TRNVqbR+cx0dXU18+bN6/b1FosFVVUZNmwYY8eO1TGZEClEqwPAkV9ucBAhRF/JnziFkPdaAlvuwKGuZs0/fsOYc+8zOpYQooecTic2mw2v19sxe1qITOf3+wFkZRqdi+lly5Zx3nn6jP8YMGAAF154IVdffTVut1uXewphtHg8jiWrCYCckvHGhhFC9KnCaSex/rVqtMhT2JwLqXz5XspOudroWEKIHlAUBVVV5dy06FcCgQAmkwm73W50FMPpus1b07QdPnb1c515TNM0GhoauPPOO/nRj37E8uXL9YwphGECdZuwOCJoGrjKpKuvEP3N8J9cTiRwROKT2Ats/vcLxgYSQvSYx+Ohra2NcDhsdBQh+kSyk7fMV9dxZfqwww5DURQ2b95MZWVl4uYWCyNGjMDtdncM9A6FQvh8PtatW0ckEgGgpKSEESMSI4La2tqoqalhy5YtAGzYsIHZs2fz9ddfk5+fr1dcIQzRUrkUgEibE0t2jsFphBBGGHnWHax6vBaHexmBuj+x9ZtCBu5/mNGxhBDdlNze7fP5KCiQ5qIi80kn7+/ptjL90UcfcfHFF7N161ZmzZrFO++8Q1tbGytXruS///0vH374IR9++CH/+c9/WLlyJe3t7SxYsIDZs2dTX1/PaaedxocffsgXX3xBdXU1Gzdu5LrrrsNqtbJ582ZuvfVWvaIKYRh/7SoA4pEBBicRQhjFZDIxes7fCXqLMNtieL+7jtYNq42OJYToJpvNRk5ODl6v1+goQvQJmTH9Pd2K6Q8++ICzzjqLuXPn8tZbb3HUUUdhtVp3+3yLxcIRRxzBm2++yV133cVll13G66+/3vF4SUkJv//973n11VcBeOKJJwiFQnrFFcIQ4eb1AJishQYnEUIYyWzPouzUxwk1u7Bmh9j870sJeuuNjiWE6KbkuenkUUYhMlUsFiMUCsnK9Da6FdMXX3wxRx99NL/61a+6fO2VV17JrFmz+J//+Z+dHps9ezYnnHACgUCARYsW6RFVCMNo0cTxBZtruMFJhBBGs6sDKD7y70TaHdhdzaz7vwuIhQJGxxJCdIPH4yEcDtPe3m50FCF6VSCQ+D4lK9MJuhTTixcvpqKigjPPPLPb9zjzzDPZvHkzn3322U6PnXDCCWiaxqpVq3oSUwjDmWwNAGQNGWNwEiFEKsgdOor8/e4iFjbj8NSw+umLicfjRscSQnSRy+XCZDLJVm+R8ZLFtKxMJ+hSTK9YsQJFUSgpKen2PUpKSnZbMA8bNgxAxg6ItBZua8HqTMzlc5XtY3AaIUSqGLDfj8ke8mu0uIJDXc7aZ35rdCQhRBeZTCbcbre8VhUZz+/3Y7FYsFh0nbCctnQppuvrE+e8Ghoaun2P5LW7ukfy/Im0XxfprKVyKYoC0aAVx0A5My2E+F7RzFNRLGcAYM36gHWvPmBwIiFEV3k8Hpqbm4nFYkZHEaLXJDt5S12WoEsxraoqmqbx2muvdfser776asfg+x+qqakBEltohEhX7ZtWABANqJhMuo54F0JkgBE//V/C7YkRWVroH9R8/IrBiYQQXaGqKvF4nObmZqOjCNFrpJP3jnR5Rb/vvvsC8Oyzz/LPf/6zy9f/85//5NlnnwVgv/322+nxd955B0VRGD5cmjaJ9BX0Juavoww2NogQImWNOvtugr4xKGaN9k1307hUGm8KkS6ys7Ox2+1yblpkNJkxvSNdiunJkydTVlZGPB7ntNNO49JLL2Xt2rV7vW7t2rVccsklnHbaaQCMHDmSgw46aIfnfPrpp7z88ssA7LOPnDMV6SsW3ASA1VlqcBIhRKoymS2MOvsRgt4hmO1RGr66hrZNFUbHEkJ0QnKHpZybFpkqEokQiURkZXo7up0cf/DBB5k1axaapvHwww/z8MMPM3z4cCZOnEhJSQlOpxNFUWhra2PTpk0sXbqU9esTM3c1TcNkMvHXv/61437r1q3j/vvv57HHHiMSiTBy5EiGDBmiV1wh+pyiJHoLOAaONDiJECKVWbKyGXHKY6x/7QzseS1seucSRpz6InaXx+hoQoi98Hg81NbWEgqFsNvtRscRQlfSyXtnuhXTRx99NH/5y186ZkVrmsa6des6CuYf2n6ovaIo/PWvf+Xwww/v+Ll//etf/OUvf+n4/Gc/+5leUYXoc/FYFKszcYYqZ+gEg9MIIVKdI7+Aoul/ofbTX2J3+6h84XxGn/cCZpu8OBcilSV7//h8PgYPlmNdIrP4/YmpNLIy/T1de5pfdtlllJeXc/HFF7Nx48ZOXTN8+HAeffRRZs6cucPPH3XUUTz55JMdnx9zzDF6RhWiT7VVVWCyxonHFPKGyYxpIcTe5ZWNJ+i7neY11+HwbGL105cy5vxHpYGhECnMarWSm5uL1+uVYlpknEAggN1ux2w2Gx0lZeg+IOzoo49m7dq1vPrqq7z00kssWrSI6urqHZ5TVFTEwQcfzGmnncaJJ564yzllY8eOZezYsXrHE8IQrRuWAhBpy5OVJSFEpw06cCYh7xWEfX/G4V5CxXM3M+qs3xkdSwixB6qqsmXLFjRNk/FBIqNIJ++d9cq0bYvFws9+9rOOrdnhcLijGYOqqthstt74skKkrEDdGkxm0GIDjI4ihEgzJUedRcWLm1F4GYv9HTb8q4Rhx19kdCwhxG54PB6qqqpoa2sjNzfX6DhC6CYQCMjf6R/ok71iNpuNgoICCgoKpJAW/VKkLXHswWQvNjiJECIdlZ/2W8KtBwMQbXuMLZ++aXAiIcTu5OXlYTabZUSWyCiapuH3+6X52A+kzMGrrVu3UlVVZXQMIXqFFtsCgF0dYXASIUS6GnXOnwh6yzFZNFrX/x7vii+NjiSE2AWTyYTb7ZYRWSKjhMNh4vG4bPP+gZQppufMmcOIEVJoiMxkdiTenXYWSR8AIUT3mMwWRp71KEHfICyOCPWL/5f2LZ1r9imE6Fsej4fm5mZisZjRUYTQRbKTt6xM7yhlimnYcVyWEJki6K3Hmh0CwFW2r8FphBDpzOrMZdhPHiXcmoMtx8/GN39JuLXZ6FhCiB9QVRVN02hqajI6ihC6CAQCKIqCw+EwOkpK6ZUGZJDYtr1kyRIaGxsJhUJ7ff4PO34LkSmaK78DINLuwK7mG5xGCJHusgcVMXjqA9T/92Ic7kYqnruAMec/h8liNTqaEGKbrKwsHA4HXq+X/Hz53i/Sn9/vx+FwyHjGH9C9mF6wYAFz587l888/79J1Mj5AZCp/9SoAYiGPwUmEEJnCPXIfgo1zaVt/Ew7PelY/dQWjf/E3eZEjRIpQFAVVVeXctMgYgUBAzkvvgq7fde+8805mzZrF559/jqZpXfoQIlOFmtYBoJiHGJxECJFJBk85GpvrYjQN7K4vqXxR5k8LkUo8Hg9+v59gMGh0FCF6TDp575puK9Pz58/nhhtuAMBsNjNhwgTcbjffffcdTU1NHHbYYTs8PxgMUlFRQWNjI4qisN9++5GXl6dXHCFSRjy0GZxgzR1mdBQhRIYpnf0L1j5fjdnyOmbLG1TNL6Z09i+MjiWEANxuNwA+n48hQ+QNdZG+NE0jGAzKyvQu6FZM33TTTQAcccQRPPXUUxQWFgIwa9YsFixYwIcffrjL6958800uvfRSsrKymD9/vl5xhEgZiqUBgOyCUQYnEUJkorLTbmD1EzXYXV8Qbn6I2kVFDJ5ytNGxhOj3rFYreXl5eL1eKaZFWgsGg2iaJivTu6DLNu/Kykq++eYbSkpKeO211zoK6c447rjjWLhwIStXruS2227TI44QKSMWDmFztgKQO3yiwWmEEJnIZDIx+twHCHqHY7LEaVlzK741S4yOJYSAjnPTcqRRpLPkWCxZmd6ZLsV0stnY+eef3613LIYNG8bll1/O/fff3/GHJUQmaKlcgWLWiIXNOItljroQoneYLFbKz3yMYFM+lqwwdZ9eib9us9GxhOj3PB4P0WiU1tZWo6MI0W2BQACTyYTdbjc6SsrRpZiuq6tDURQmTZrU7XtMnTqVYDC42+3gQqSj1qplAET9LkzmXptEJwzir21i/RtfsvaFz1j/xpf4a5uMjiT6MVuui6HHPUK4LRtbbhsbXr+QSLu8gBfCSLm5uZjNZunqLdKa3+8nKytLJi/tgi6v7pOrybm5uTs9ZrPZOp6zp1VrqzUxH3P9+vV6RBIiJQQb1mKxgaYVGB1F6Mi7bBMrn/iAmk9XQVzDbLcSC0XApFA4dSxjfzEDz/gSo2OKfsg5ZCiDJt9Hw1dX4FC3svaZCxlzwTPyZp4QBjGZTKiqitfrZejQoUbHEaJbAoGAnJfeDV1Wpl0uFwC1tbW7fWzlypV7vMfy5csBaGtr0yOSECkh6q8CwJxVbHASoZfNHyzjwwsfom2zlx9d+xN+8vGtnPzZ7fzk41v50bU/oW1TIx9e8BCbP1hmdFTRT3nGHUju8BuIRxUcngrWPP0royMJ0a95PB5aWlqIRqNGRxGiW5Ir02JnuhTT5eXlaJrGf//7390+9sQTT+z2+nA4zF//+teOAfdCZAytDgBHfrnBQYQevMs2sfiG5ymcPp4jn72Csp9OxupMnB+yOu2U/XQyRz57BYXTx7P4hufxLt9kcGLRXw358XFYci4AwJb7XypevMvgREL0X6qqomkaTU1NRkcRostisRihUEhWpndDl2L6Rz/6EYqi8Pjjj++0TfuQQw4B4OGHH+Yvf/nLTt0Mt27dyk9/+tOOlev9999fj0hCGC4ej2PJagIgp2S8sWGELlY++SE5JQOYfNupmKy73jZrslqYfNup5JQMYOWT0gNCGGfY8RcRDc0CQOFlNi14xuBEQvRPWVlZZGVl4fV6jY4iRJcFAgFAOnnvji7F9MCBA9l///1pbW3l0EMP5e9//zvt7e0AzJw5k+LiYjRN46qrrqK4uJiTTjqJOXPmcPjhhzN06FDmz5+PoiiMGDGiR03MhEglgbpNWBwRNA1cZROMjiN6yF/bRM0nKyk/7ZDdFtJJJquF8lMPpmbhSmlKJgxVfuatBJv2QzFBqOEB6r/8wOhIQvRLyRFZQqSbZDEtK9O7pksxDXD66aejaRq1tbVcfvnlfPbZZ4kvYDJx9913d6xIb9myhTfeeINnn32Wjz76qGMIOMAf//hH6RInMkZL5VIAIm1OLNk5BqcRPVX3eQXENUqP2a9Tzy+dtT/ENeq/qOjdYELsgclkYvQ5fyXoLcVkjdO0/CZaKpcbHUuIfsfj8RAIBDoKEyHShd/vx2KxYLFII8td0e135bzzziMWi3V8Pnr06I4fn3766axfv56bbroJTdN22uptsVi4//77OeGEE/SKI4Th/LWrUIB4ZIDRUYQOov4QZru144z03liddkx2C5H2UC8nE2LPzDY7Zac/xrqXTsPu9lHz0eXYXM/jGDDY6GhC9BtutxtFUfD5fLJdVqSVZCdvWfDcNd2K6fz8fK699trdPn7ddddxzDHH8Mgjj/DVV1/R3NzMgAEDOOSQQ7j44ospKyvTK4oQKSHcvB57HpishUZHETqwZNuJhSJE2kOdKqgj7SHioWini28hepPd5aFk1sNU//scbHmtrHvlAkad/RKWLNm2J0RfsFgs5OXl4fV6KSyU1wUifUgn7z3r0/X6/fffn7///e99+SWFMIwW3QKAzTXc4CRCDwUHlYNJoeqdbyn76eS9Pr/q7W/ApDBoknRyF6khp3gEAw64B++Sq3Cotaz5xy8Zc/5TMoNaiD6iqiqbNm1C0zRZ5RNpIxAIkJ+fb3SMlKXbmWkhxI5MtgYAsoaMMTiJ0EP2YDeFU8dS8eJ/iEf2PCs0HolS8dJ/KTxsLNmD3X0TUIhOyJ84BWfJb9BiCg51FWv+8RujIwnRb3g8HmKxGC0tLUZHEaJTIpEIkUhEVqb3QLdiuqqqiq1bt3bpmgULFuB2u5k6dSpPPfWUXlGEMFy4rQWr0w+Aq2wfg9MIvYz9xQzaNjWw+OaXdltQxyNRFt/0Im2bGhh73ow+TijE3hVOOxmT4xwAbM6FrHv5jwYnEqJ/yM3NxWKxSFdvkTakk/fe6VZMDxs2jHPPPbdL12iaRktLC5999hnnn38+v/mNvEMuMkNL5VIUBaJBK46BcjYqU3jGlzD592dQ89Fy3vv5A1S+vKijwVikPUTly4t47+d/oebjFUy54ww840sMTizErg3/yeVEAocDoMVeYPP7LxqcSIjMpygKqqrKvGmRNvz+xMKQrEzvnq7bvH/YpXtvJk2axEsvvcTll1+OxWLhT3/6E9XV1XpGEsIQ7ZtWABANqJhMcpoikxTPnMCMxy5GsZj5+q7XeG3aXP55yI28Nm0uX//hNXJK85nx2MUUzZDZ4iK1jTzrToK+CSgmjUDtfWz95hOjIwmR8TweDy0tLUQiEaOjCLFXgUAAu92O2Ww2OkrKMvRVvsfj4ZRTTuGBBx7g+uuvJx6P88EHHxgZSQhdBL2ViR8oMnomE3nGl5C/bdV58KGjKf/ZFADMDhsH3/VzWZEWaSExg/rvBL2FmG0xvEuuo3XDaqNjCZHRVFUFoKmpydggQnSCdPLeu5RZMps6dSqaplFTU2N0FCF6LBbcBIDVWWpwEtFbvCsTu2iGn3Ag+/zPbKx5WcQCYbzLNxucTIjOM9uzGPGzxwg1u7A6g2z+96WEfA1GxxIiYzkcDrKzs2Wrt0gLyRnTYvdSppjesGEDgGyJFRlBUeoBcAwcaXAS0RtioQjNFbUAqOOKUcwmCraNwKpbvNbIaEJ0mcMziOIj/kak3YHd1UzlS+cTCwWMjiVExlJVFZ/P1+XjkUL0JU3TZGW6E7o8XHLhwoW7fczr9e7x8R+Kx+O0tbWxcuVK7rnnHhRFoaREtkeK9BaPRbE6mwHIGSrnZjNRc0UtWjSGze3sGH1VMLmcze8vpf7zCsb/8ghjAwrRRbnDRuPZ906aVlyNw1PN6qcvYcwFT8gb3EL0Ao/HQ3V1taz6iZQWDoeJx+Pyd3QvulxMT58+fbeD5r/44gtmzOjeKBhN07DZbMycObNb1wuRKtqqKjBZ48RjCnnDZMZ0JvJt2+LtGVfU8e9hweTELoTGpVVE2kNYnXbD8gnRHQP3n0rI+7+EGu7FoS5j7TPXM3rOXUbHEiLjuN1uFEXB5/NJoSJSlnTy7pxuv+WsadoOH7v6ua58ANxyyy0MGjRIn1+ZEAZp3bAUgEhbHmabFFSZyLsicS5aHVvc8XPOIg/OIg9aLM7WryqNiiZEjxQffhqK+XQArFn/Zv2rDxicSIjMYzabcblccm5apLRAIICiKDgcDqOjpLQur0yXlpbucmV648aNOBwOCgoKOv/FLRZUVWXixImcffbZTJ8+vatxhEg5gbo1mMygxQYYHUX0Et/KZDFdtMPPF0weybpXFlO3uILCw8YZEU2IHhtxyq9Z9VQ1NudC4qF/UPNxMYXTTjY6lhAZRVVVqqqqiMfjcpxCpCS/34/D4ZC/n3vR5WI62Sjsh0wmE9OnT2f+/Pk9zSREWou0VWF3gclevPcni7QTDYZpWZdoMOcZt+OfccHk8m3FtDQhE+lt1Nl3s+rxc3Coq2nfdDeNSwvJnzjF6FhCZAyPx8P69etpaWnB7XYbHUeInQQCAdni3QnyVoMQOtNiWwCwqyMMTiJ6Q/OaLWixOI78XBwD83Z4bNCkMjAptG7Yir+u2aCEQvScyWxh1NmPEvQNxmyP0vDlNbRtXmd0LCEyRk5ODlarFZ/PZ3QUIXbJ7/fLmf5O0K2YPuecczjyyCP1up0QactsT5yBchaNNTiJ6A0d56W3az6WZMvLxrPtHHX957I6LdKbJSubESc/RrglF2tOgE1vX0SoWc54CqEHRVFQVVXOTYuUFI/HCQaDsjLdCboV008++SS/+tWv9LqdEGkp5GvA6gwC4Crb1+A0ojckO3lv33xse4MOSs6bruizTEL0FseAwRROf5Co347d7aPyhQuIhUNGxxIiI3g8HlpbW4lEIkZHEWIHwWAQTdNkZboTUmab9/vvv8+8efOMjiFEjzRXLAEg0u7AruYbnEb0hmTzsR+el04qmLytmP68Ai0e77NcQvSWvLLxuMffTjxiwuGpYvXTlxGXv9tC9JiqqgCy1VuknEAgAMhYrM5ImWL63nvv5bzzzjM6hhA90l69EoBYyGNwEtEbov4QLeu3AqCOKdrlc/L3GYrZYSXkbaO5orYv4wnRawYdOBNb/hVoGjjc31Lx3FyjIwmR9ux2O06nU7Z6i5Tj9/sxmUzY7TLidW9SppgWIhOEmhINehTzEIOTiN7gW10DmkZWgQvHgNxdPsdsszDwR4nmc7LVW2SS0qPPRtN+CoDF/jYb/vWwwYmESH+qquLz+dA0zegoQnRIdvLe1ThksaMuj8bqjMrKSr7++mtqampoa2sjFovt9ZqKCnnRKdJfPFQNTrDmDjM6iugFvhW7ni/9QwWTy6n9z2rqPq9g9NmH9UU0IfpE+WnXsfKJauy5i4i2PcaWz4oYcuhxRscSIm15PB42b96M3+/H6XQaHUcIQDp5d4WuxfQHH3zANddcw7ffftvlazVNk3c/RNpTzIktwNkFowxOInpDsvmYZzfNx5IKJo8EoOHr9cRCEcx2a69nE6KvjD7nz6x67Oc4PJW0rvs9ds8QPGMPMDqWEGnJ5XJhMpnw+XxSTIuUEQgEyMvL2/sThX7bvF955RWOPvpovv32WzRN6/KHEOkuFg5hzWkFIHf4RIPTiN7w/VisPRfTeWUFOPJziYUiNH63sS+iCdFnTGYLI896jKBvIBZHhPpFv6J9i/w9F6I7zGYzLpdLzk2LlBGLxQiFQrIy3Um6rEwHg0Euu+yyHbZzl5aWMmrUKDweDw6HY6+rzu+99x5btmzRI44QhmhZtwKTWSMWMeMsHmF0HKGzSFuQtqoGYO/bvBVFYdBB5VS9/Q11iysYNKm8LyIK0WeszlyGnfgoVW+dhS23jY3/uojyM17ElusyOpoQaUdVVTZs2EA8HsdkknZGwljSybtrdCmmFy5cSF1dHYqicMghh/Dwww8zbty4Lt1j1qxZUkyLtNZWtRyAaLsLk7lX2hEIA/lWJbZ4Zxeq2N1734pXMDlZTK9l4uXH9HY8IfpcdkExBT++n62LLsGhNlDx3AWMOf85TBY51iBEV3g8HtatW0dzc3PHuCwhjJIspmVlunN0eftr1apVADidTl5//fUuF9KAbPUWaS+wdS0AmjbI4CSiNySbj+3tvHRS8ty0b1UNoab2XsslhJHUUfuSN2ou8agJh2c9q5/6H5lBLUQXOZ1ObDabzJsWKcHv92OxWLBa5Y3RztClmA6FQgBMmTIFj6d783XvuecePvjgAz3iCGGIaHsVAGZH54otkV6825qP7W2Ld1LWwDzyRhSAplH/ZWVvRhPCUIOnHI3VdREAdtcXVL74e4MTCZFeFEVBVVU5Ny1SQiAQkFXpLtClmB46dCgAubm7nrvaGRMnTmTatGl6xBHCIHUAOPLlfGwm8nWy+dj2CiYn/i7IvGmR6YbOPp9Y5HgATObXqXr7SQD8tU2sf+NL1r7wGevf+BJ/bZOBKYVIXaqq0tbWRjgcNjqK6Of8fr+cl+4CXQ52zpgxA4fDwdq1a/W4nRBpJx6PY8lKbM9ylnT9mINIbeFmP+3ViRUDdUxhp68rmDyStc9/Rt3itTL+T2S8stNvYvUTW7C7viTc9Hc++/VGahaGyC1toOSINVT+3yi+vH0AQ6aOYdz5M/GMLzE6shApI7mz0+fzUVBQYHAa0Z8FAgHy8/ONjpE2dFmZHjhwIJdeeinLly9n4cKF3brHrFmzsFikaZNIT4H6aiyOCJoGrjIZi5VpkvOlc0ryseV1fuvTwB8NR7GY8df4aN/c2FvxhEgJJpOJ0ef+hfbaYkyWOAP2eRe7q42iaRVkDWinaFoFaHFqP1vNB7/4O5s/WGZ0ZCFShs1mIycnR7Z6C0NFIhEikYisTHeBbv337777bk488UROOeWUbp99liZkIl21VC4BINLmxOrs/nEHkZq8K7dt8e5k87EkS7ad/H1KAdnqLfqHplW1rH1xFO1b8rBmRxh15lc4h7QC4BzSSt5wL1osjhaPs+i65/Au32RwYiFSh6qq+Hw+eT0sDCOdvLtOt6XgTz/9lCuvvBKn08mRRx7J5MmTmT17NmPHjsXtdu+1I5y8EyfSWWDLagDiEdkWk4m+Py/dueZj2ys4qJyGr9dTt3gtZadM0TuaECllxRMfEI9YqPjnvow5+3PsrhCaBooCWhwKp1bQst4DWuLIw8rHP+DQ+84xOLUQqcHj8bBp0yba29vJyckxOo7oh/x+PyAzprtCt2J6+vTpHecBNU1j8eLFLF68uNPXy3lCkc5CLeux54Ji7fx5WpE+ktu8OzsWa3sFk0ey/KH3qP+yEi0WRzHrtiFIiJTir21iyyerQNOIttvZ8p8RDJu1kuS3dsX0/ep0y/p8tFicmk9W4a9tInuw29DsQqQCl8uFyWTC5/NJMS0MEQgEsNvtmM1mo6OkDV1f1WmatkNRnPy8Mx9CpDMtUgOAPW+4wUmE3oLetkQHYkXBPbrrb5aoY4uw5jiItAY7tosLkYnqPq+Aju/nGgP324z2g5HTydVp2PY8TaP+CzkCIQQk+g643W7ZrSkMI528u07Xjl9Op5MBAwZ069q6urqOedVCpBuTNdFcKmvIaIOTCL0lV6Vzhw7AmuPo8vUmi5lBk8qo/nA5dYvWkj+hVO+IQqSEqD8EJgXiGnnDvR1npbf3w9VpFIVIu3zvFyJJVVXWr19PLBaT1UHR5wKBAHl5eUbHSCu6FtPHH388zz33XLeunTVrFgsWLNAzjhB9ItLeijWnHYC8sn0NTiP05utm87HtFUwemSimP69g3AWH6xVNiJRiybZDXAM0CqdWoMUTxfMP7Xh2GqxOe59nFSJVeTweKisraW5u7hiXJURf0DQNv98vo9m6SA7vCdFDzZVLURSIBq1kDep6gyqR2pLNxzzdaD6WVDC5HIDG76oSq3dCZKCCg8pBUTpWpXdVSMOOq9MoCoMmlfdtUCFSWHZ2NjabDZ/PZ3QU0c+Ew2Hi8bh08u4i3YrpffbZh2HDhnX7+iOPPJI5c+boFUeIPtO+aQUA0YCKySTvT2Ua77Zt3j1ZmXYW55M9xI0WjbH16/V6RRMipWQPdjNk6mgKp1budFb6hxKr05UUTh0tzceE2I6iKHg8Hjk3LfqcdPLuHt22eX/77bc9uv5///d/9QkiRB8LNlZgzQKQbTGZJtDQQnBrC5i613wsSVEUCiaPZP1rX1C3eC1DfjxGx5RCpI6Rp3lor2rZ6/MSq9MtDJos21iF+CFVVamtrSUUCmG3yzEI0TcCgQCKouBwdL0/TH8my2hC9FAsmNgGbHFKY6lMk2w+ljd8EJYsW4/uVTB5JAB1i6VzschMmqYRaX0Z6NyYS02DSOvLMtFDiB9QVRVAtnqLPuX3+3E4HLLLsov65HcrEAiwZcuWvvhSQvQ5RakHIGvgSIOTCL19f166+1u8kwZNKgNFoWVdHYGte1+5EyLtxCPE/LV0jL3aC0WBSHMVxCO9m0uINGOz2cjNzZWt3qJPBQIBOS/dDbp2807y+/3MmzePf/3rX3z++ed4vV4URSEajXY859ZbbyUSiXDJJZdQVCRNm0R6iseiWJzNAOSUjjc4jdCbT4fz0kl2txN1TCG+ldXUf17B0GN/1ON7CpFKFLONoiPmEQs1dfxcsLEV7/JNRANhLFk2PONLcOTnsu6VG7HnbSDYDNFgCKuzZzs/hMg0qqqyZcsWNE1DUTq320OInvD7/eTn5xsdI+3ovjL94osvUlJSwmWXXcY777xDY2MjmqbttI2roqKCO++8k/Lycu688069YwjRJ9o3VWK2xojHFPJGjDM6jtCRpml4k2OxetDJe3vfb/Veq8v9hEg1luzB2NUxHR+u8kkMP/FkRp5+OsNPPBlX+STs6hiGn/ggEb8de24blS/eYHRsIVKOx+MhEonQ1tZmdBTRD8TjcYLBoKxMd4OuxfS9997LmWeeSVNT0y4L6O0dcMABuFwuQqEQN954IxdddJGeUYToEy0blgIQacvFbJMmIZkkUN9CqLENxWzCXT5El3sOOigxAqju8wo5Jyr6NceAwTiLLgfAmvMftvxnvsGJhEgteXl5mM1mOTct+kQwGETTNOnk3Q26FdMLFy7k2muv7Siihw0bxhlnnMGvf/1rysrKdnr+VVddRXV1Nb///e+xWCw89thjvPDCC3rFEaJPBOrWAKDFBhqcROjNt21V2lVWgNlh1eWeA/YdisluIdjQSktlnS73FCJdFR9xBsGmfVAUaF71B8ItUjQIkWQymXC73XJuWvSJQCAAICvT3aBbMX3DDTegaRqlpaW8/fbbrFu3jmeffZZ77rmH8vLyXV6TlZXFddddxwsvvICmadx+++16xRGiT0RaNwJgssu5/0yTbD6m6tB8LMlstzJw/+GAbPUWAqDslHuItGVjy22n8qXfGh1HiJSiqirNzc3EYjGjo4gM5/f7MZlM2GzSv6KrdCmmt2zZwmeffYbL5WLhwoUcffTRXbr+pJNO4sQTT2TVqlUsX75cj0hC9AktluhSb3ePMDiJ0JtXx+Zj2+s4N/25jMgSwq7mk1v2v4kfu76i+qOXDU4kROrweDxomkZTU5PRUUSGS3bylmZ3XadLMf3pp58CcMkll1Ba2r1Zu6eccgqapvHVV1/pEUmIPmG2J7ZfOYvGGpxE6EnTtO3GYum766BgcmKnztav1xOPRPfybCEyX+FhPyHUPAmAtg33E/TWG5xIiNSQlZWF3W6Xc9Oi1/n9fjkv3U26rUwrisLUqVO7fY+hQ4cCUF8v30RFegj5GrA6gwC4yvc1OI3Qk3+Lj3CzH8ViJq9ssK73dpUPxq46iQXCNH5Xpeu9hUhXZafdRbg1B6szwLqXf2N0HCFSgqIoeDweOTctel0gEJBiupt0Kab9fj8AOTk53b5He3s7kGjNLkQ6aK5YAkCk3YFdHWBwGqEn34rEFm/3yMGYbRZd762YTN939ZZz00IAYMt14R53HVocHOoyqt79h9GRhEgJqqri9/sJBoNGRxEZKhaLEQqFpPlYN+lSTA8cmOhkXFlZ2e17fPXVVyiK0nEvIVJde/VKAGIhj8FJhN465kvrfF466ft503JuWoikwVOOJuL/MQDB2ofw11cbnEgI46mqCiBbvUWvSXbylpXp7tGlmB43bhyapvHkk09263q/38+jjz4KwH777adHJCF6XahpHQCKWZ8ZxCJ1+JLNx3Q+L52ULKa9KzcTbvH3ytcQIh2Vn/Y7Qs0uLNkhNrx6texWE/2e1WolNzdXimnRa5I7jGVlunt0KaanTJnCwIED+fTTT7nmmmvQNK3T1wYCAU477TQ2btxIUVER+++/vx6RhOh18VCi4LLmDjU4idDTDs3HemllOrvARe6wgRDXqP9yXa98DSHSkSU7hwE/ugktpuDwrKVq/mNGRxLCcMlz0115fS1EZwUCASwWC1ar1egoaUmXYlpRFK699lo0TeO+++5j0qRJPP/883ts5b9+/Xruu+8+Ro0axfz581EUheuuu06POEL0CcW8FYCsglEGJxF6at/cSKQtiMlmIa+soNe+ToGcmxZilwb+aDrR8OEAhH1P0la93uBEQhjL4/EQjUZpbW01OorIQH6/X1ale0CXYhrgiiuu4JBDDkHTNL755hvOOussBgwYwIgRI1i8eDEAhxxyCPvssw+qqlJeXs4111xDdXU1mqYxY8YMLrroIr3iCNGrYuEQ1pzEN7W8YRMNTiP05E02Hxs1BJPF3GtfR85NC7F75affSqjJg8URoerNa2S7t+jXcnNzMZvNstVb9Arp5N0zuhXTVquVN998k8mTJ3dsQ4nH42zYsIHm5mYAFi9ezLJly2hubkbTtI7nHXroobzyyiuYTLrFEaJXtaxbgcmsEYuYcZaUGR1H6MjXy83HkgYeMALFbKJ9cyPt1TL2RIjtmW12Bh38O+JRBYdnAxtef9DoSEIYxmQyoaqqjMgSvSIQCMjKdA/oWr263W4++eQTbrrpJvLy8jp+Plk0//Csh8vl4tZbb+Wjjz7a4fmicxYtWsT111/PzJkzKSoqwuFwkJOTQ2lpKcceeyz33nsvW7duNTpmRmqrWg5AtN2Fyazv6CRhrI7z0r3UfCzJmuPAM6EEkK3eQuxK/oSD0LRjAYj5n6Nl/SqDEwlhHFVVaWlpIRqNGh1FZJBIJEIkEpGV6R7QfSnYYrFw6623UlVVxVNPPcV5553HIYccwujRoxkzZgyHHnoov/jFL3j66afZtGkTN910E2Zz722lzDTBYJC//e1vlJWVcfDBB3PnnXfy8ccf43a7OeSQQxg/fjwNDQ3Mnz+fa665hpKSEu68805isZjR0TNKYGui+NG0QQYnEXrS4nF8q7Z18u7llWnYbqv357LVW4hdKTv1BoK+QZhtUTYv+A3xmBQSon/yeDxomrbHfkRCdFVyLJasTHdfry2p5ebmMmfOHObMmdNbX6Jfevjhh7nqqqs6Pr/ooouYO3cuQ4Z8P54pGAzy4IMPcv311xMKhbj++utZsWIFTz/9tGyl10m0vQqLDcyO3i+4RN9prWog6g9jdlgT3bZ7WcFB5ax45N/Uf1GJFoujmOW/TyG2Z7JYKZxxF1u/uBCHp4Z1//wj5adea3QsIfpcVlYWDocDn8/HgAEDjI4jMkRyLJasTHefvHJLM9tvlf/1r3/NQw89tEMhDeBwOLj66quZN29ex88988wzPPLII32WM/PVAeDILzc4h9CTL9l8bHRhrzYfS/JMKMHitBNu9uNbXdPrX0+IdOQeuQ+K+SQAtOgr+NYsMTiREMZIjsgSQi+BQAC73S67hHtAiuk0paoqt9122x6fc/rppzN16tSOz2+77TaZUaiDeDyOJSvRUdNZMs7gNEJPyeZjnnF9s+PAZDEz6IARgJybFmJPRpxyNUFvIWZrjC0fXUc8GjE6khB9TlVVAoFAx9ZcIXrK7/fLqnQP6VpMr1q1iu+++67jY926dbt97ttvv80tt9zCxo0b9YzQb8yaNatT5xtOOumkjh9v2bKFb775pjdj9QuB+mosjgiaBq4yGYuVSbwr+qaT9/a+H5ElxbQQu2MyWyg+6m5iYQsOtZ7Kl35vdCQh+pyqqiiKIiOyhG6kk3fP6VZMr1u3jvHjx7P//vt3fFxwwQW7fX5VVRW33XYbI0eO5OqrryYSkXeZO2P//ffnyiuv5Oyzz+7U88vLd9yGvKc3OETntFQmthhG2pxYnbkGpxF6iUdjNG3baq32cifv7SWL6cYlG4kGw332dYVIN3nDx2DOOgMARXmLxmWfG5xIiL5lsVjIzc2VYlroQtM0WZnWgW7F9MMPP9wxO1rTNAYOHMiUKVN2+/xBgwaRnZ1NNBrlT3/6EyeddBLxeFyvOBlr2rRp/PnPf+aYY47p1PMdDscOn4dCod6I1a8EtqwGIB7JNziJ0FPrhq3EghEs2TZyS/uuuUvO0AFkFbiIR2I0fLOhz76uEOlo2E+uIOgdismiUf/fG4mF5Xua6F88Hg8+n0+O7YkeC4fDxONxWZnuId2K6VdffRVFURgyZAgvv/wyNTU13HHHHbt9/kknncTWrVv505/+hNPp5O233+aPf/yjXnHENj+cMz1y5EiDkmSOUMt6ABRrocFJhJ6S56XVMUUofdj1XlEUCg5K7CCRrd5C7JnJZKL0uHuJBq3Y3V4qXphrdCQh+pTH4yEajdLS0mJ0FJHmpJO3PnR5xVhVVUVFRQVOp5OFCxdy8sknd2oEU1ZWFldeeSVvv/02ZrOZe++9V7Z76+zbb7/t+PGQIUM44IADjAuTIbRIYiuwPW+4wUmEnrzbOnmrfdR8bHtyblqIzsspGo5NPQ8Ai+19tn6z0OBEQvSd3NxcLBaLbPUWPRYIBFAUZaddrKJrdCmmk02tzj//fMrKyrp8/aGHHsqcOXNoaGjgv//9rx6RxDZvvPFGx48vvfTSTrW+b29v3+WHSDBZGwHIGjLa4CRCTx0r033YfCxp0LaV6ea1tQQbW/v86wuRbkpnX0DQOxLFrNHw1a1EA36jIwnRJxRFQVVVGZEleszv9+NwODq1ACp2T5ffvU2bNqEoCtOnT+/2PWbPno2maSxbtkyPSAL497//zerVifO9xcXFXHXVVZ26LicnZ6ePgoKCXkyaPiLtrVhzEm8s5JXta3AaoZd4NEbTmi0AePqw+ViSw5ODe1RiXnzd5xV9/vWFSDcmk4lhJ91L1G/H7mqm4oUbjI4kRJ9RVZXW1lai0ajRUUQak07e+tClmG5tTaykDBjQ/aY9gwYNAqC5uVmPSP1eLBbjN7/5DZB4F/ORRx4hJyfH4FTpr7lyKYoC0aCVrEF9X3SJ3tFSWUc8HMWa48BZbExjueRW73oppoXolOxBRWQNuQQAa/Yn1C561+BEQvQNj8eDpmmy1Vv0iHTy1ocuxXReXh4ADQ0N3b5HY2Ni62xurowa0sMdd9zRsf3+2muvZdasWZ2+tq2tbaePurq63oqaVto3rQAgGlBlW0wG8Sa3eI8rRlEUQzIMmvx9EzLp0ipE55QcdRZB3wQUEzStuJNwq7whLzKfw+EgKytLimnRbfF4nGAwKCvTOtClGiguLkbTNBYsWNDteyxYsABFUSgpKdEjUr/27rvvcuuttwKJrum///3vu3S90+nc5YeAYGNy1VC2vWcSX7L52FjjdhsM3G84JpuFQH0LrRu27v0CIQQAI065m0h7FrbcNipfus7oOEL0CY/Hg9frlTdfRbcEg0E0TZOVaR3oUkxPmzYNs9nM448/zldffdXl67/++msef/xxzGZzj85di0QzuFNPPZVYLMbhhx/Oc889JyuoOooFEyuYFmepwUmEnpLNxzwGNB9LMjusDNhvGCBdvYXoCodnEDnDrgTAnvc5NQtfMzaQEH1AVVWCwSDBYNDoKCINBQIBAFmZ1oEuVZbb7eaEE04gHA4zc+ZMnnjiCeLx+F6v0zSNp59+msMPP5xIJMIJJ5yAy+XSI1K/tGLFCo4++mhaWlqYNm0ar7/+urS715mi1AOQNVDmdWeKWDhK09paAFQDmo9tT+ZNC9E9RdNPIdT8IwBaK+8j5Gs0OJEQvcvtdqMoinT1Ft3i9/sxmUzYbDajo6Q9i143uvPOO5k/fz5tbW1ceOGF3HDDDRxzzDHss88+DB06FKfTiaIotLW1UVVVxXfffcc777xDXV0dmqbhcDi444479IrT76xcuZKZM2eydetWpk2bxltvvSVbs3UWj0WxOBPn8XJKxxucRuiluaIWLRrD5some4hqaJaCKSNZ+uA7bP1qHfFoDJNl76PshBAJZaf+gXUv/wRbbjuVL1/DuAufMDqSEL3GYrGQl5eHz+ejqEgaooquSXbyNqpPTCbRrZgeNWoUTz/9NGeccQYAdXV1zJs3b4/XJM95KIrCvHnzGDVqlF5x+pVVq1Yxc+ZM6urqpJDuRe2bKjFbY8RjCnkjxhkdR+jEt8L45mNJ7lFDsLmyCTf78S7b1LHtWwixd7Y8Fdfoa/BX34LD/R2b//08xUecYXQsIXqNx+OhqqqKeDwuR/pEl0gnb/3o+l/eqaeeyhtvvIHH4wG+L5Y1TdvhY/vHBgwYwJtvvskpp5yiZ5R+Y/Xq1cyYMYPa2loppHtZy4alAETacjHb7AanEXr5/ry08e/sKyYTg2SrtxDdNuTQ44i0HQxAe/WD+OtrDE4kRO/xeDzEYrGOEbVCdJbMmNaP7m9jHXvssaxevZq5c+cybNiwXXYZ1DSN4cOHc+utt7J69eoujW0S31uzZk2nC+mPP/4Yi8XC4Ycf3scpM0egbg0AWmygwUmEnrwrt3XyHmdc87HtFUyWYlqInig77Q5CLXlYs0NseO03RscRotfk5ORgtVrl3LToklgsRigUkpVpnei2zXt7Ho+HuXPnMnfuXDZt2sTq1as7/kPPz89n9OjRFBenxgvXdJUspLds2dKpFWlN04jFYsRisT5MmVkirRuxu8BkN34FU+gjFozQUpmYoa4a2Ml7ewWTE83tvMs3E2kLYs2RJoJCdIXVmUv+PjfQuu63ONRVVM1/gtLZvzA6lhC6UxQFVVXxer0MHz7c6DgiTUgnb331SjG9vZKSEpkdrbO1a9cyY8YMampqZGt3H9JiWwCwu0cYnETopWntFrRYHHt+DlmD8oyOA4BziEpO6QDaqhqo/7KSounS7E6Irho06XB8K6Zjzf6QYMNjtG85HOeQoUbHEkJ3qqpSX19PJBLBarUaHUekAb/fDyAr0zrRpZiura3lkEMO6fhcURQeeOABjj32WD1uL7ZTUVHRUUgnP9933333el3yXSjRfWZ7YneFs2iswUmEXpLNxzxjjW8+tr2CyeW0VTVQt7hCimkhuqn89NtYM+8E7G4fG9+4hjEXviBNmkTGUdXEFAqfz8egQYMMTiPSQSAQwGq1ypsvOtGlmP7666/ZsGEDiqJ0nJFub2/X49biB+644w6qq6s7Pt/+x6L3hHyNWJ1BAFzle3/zQqQH77bmY2oKNB/bXsFB5VT+3yI5Ny1ED5jtWQycfCtNK67E4VnHxn/9neEnXmZ0LCF05XA4yM7OlmJadJp08taXLm/RbtiwoePH559/PuvXr+dnP/uZHrcWPxCPx42O0C81Vy4BINLuwK4OMDiN0ItvRWo1H0saeGAZmBTaqhrw1zYZHUeItDVgn0OIR48BINr6D1qrKgxOJIT+PB4PXq93l01/hfihQCAgxbSOdCmmW1paABgxYgSPPPIIQ4cOTaktk5nkqaee2mnUWFc+PvroI6N/CWmpvXolALGQx+AkQi9Rf4iWDfVA6q1M23Kz8IxP9JqoWySr00L0RNmpNxL0DcRsj7Lp7WvkTWmRcVRVJRQKyZE+0Sl+v1+aj+lIl2K6oKAAgIkTJ0oRLTJSyLcOAMU8xOAkQi9Na7ZAXCNrUB5ZA1Kj+dj2ZESWEPow2+wMmXoH8agJh2cT61+5z+hIQujK7XajKIqMyBJ7FYlEiEajsjKtI12K6XHjxgHQ1NTU7XssW7aMhQsX6hFHCN3FQ4mztdZc6QabKbwrkuelU2uLd1JyRFbdF5VospImRI+oY/dHU04AIB76P5orlhmcSAj9mM1mXC4XPp/P6CgixSU7ecvKtH50KaYnT57M2LFjWbRoEc3Nzd26xzXXXMOMGTP0iCOE7hRzAwBZBaMMTiL04kvR5mNJ+RNKMGfZCDe1J1bRhRA9Uvaz3xL0DsFsi1H9wW+Jx6JGRxJCNx6PB5/PJ8cYxB4ljwLIyrR+dJsR8dBDDxGPx7n88sv1uqUQKSEWDmHNSfQFyBs20eA0Qi/J5mOeFGs+lmSyWhh0QGKmed1iaZokRE+ZzBaKj7iLWNiMQ62l8qU7jY4khG5UVSUej3f0MRJiV/x+P3a7HbPZbHSUjKFbMT116lT++c9/smDBAo455hi++eYbvW4thKFaNqzCZNaIRcw4S8qMjiN0EGkL0rpxK5C6K9Mg56aF0Fte2XjM9lMBUPgX3hVfGpxICH3k5ORgtVrl3LTYI+nkrT9d5kwD/OIXvwBg0qRJzJ8/n/fee4/i4mImTpyIqqp7HQy+dOlSvaIIoau2jYmzddF2Fyazbv/JCAP5ViVWpbOHuLGrOQan2b3kuemGbzcQC0YwO/b876gQYu+GnfwrVj36KQ7PJmo/vRFX+euYbXajYwnRI4qidIzIGjFihNFxRIoKBALk5aVe09V0pltl8NRTT3V08lYUBU3T2LRpE5s3b+7U9ZqmSSdwkZKCW9ditoKmDTQ6itCJb+W2+dIp2nwsKXf4IBwD8whubaFhyYaO4loI0X0mk4nS2fdQ89HZONQGKl+8jVFn/97oWEL0mKqq1NXVEQ6HsdlsRscRKUbTNPx+f8cUJqEP3bZ5AzvMM97Vz+3pQ4hUFWmvAsDsKDE4idCLb1sn71Q9L52kKAoFByW3esu5aSH0klNSjtU1BwCTdQENSz4zOJEQPaeqKoB09Ra7FA6Hicfj0slbZ7ruWZ0wYQI//elPu3XtM888w7p16/SMI4Q+tFoAHB45L50pvB0r06l7XjqpYPJINr719bZz07OMjiNExhh63EWsevQjHJ5Ktn4+F3XMvzDb5SyhSF92ux2n04nP55PVR7GT5FgsOTOtL92L6blz53br2kWLFkkxLVJOPB7HkpV4h9dZMs7gNEIP4RY/7ZsbgTQppretTDetriHka0vpM94iNfjrFuNdcj+efa8ku2Cy0XFSlslkYuiJ91K94DTs7iYqnr+J0efea3QsIXrE4/FQV1cnxyfFTgKBAIqi4HA4jI6SUXTd5t0TstVbpKLg1hosjgiaBnllMhYrE/hW1QDgLM7Hlpf6W50cA3JxlQ8GoO7zSoPTiFSnaRq+ZQ8Rbl6Db9lD8r11L5yDS3AM/CUAlqyPqPvi3wYnEqJnVFUlHA53rEIKkeT3+3E4HJhMKVP+ZQTdfjf/9Kc/MWfOnG5ff8899/DBBx/oFUcIXTRXfgdApD0bW450P8wEyfPS6bAqnZQckVX/uYzIEnsWqFtEyLsU18gzCXmXEqhbZHSklFc661yCvrEoJvB993si7a1GRxKi21wuFyaTSUZkiZ0EAgE5L90LdCumr7zySo455phuXz9x4kSmTZumVxwhdBHYsgqAeHiAwUmEXpKdvD1pVUwnunjXLa6QlUaxW5qm4Vv+CHbPRDz7/gq7ZyK+5Y/I35lOGPHTe4m0O7DltVLx4nVGxxGi28xmMy6XS5qQiZ34/X45L90LZJ1fiD0IN68HQLEMMTiJ0It35baV6RTv5L29AfsPx2Q1469toq2qweg4IkUlV6XV8b9EURTU8b+U1elOcuQX4Cy5AgBbziK2fPqmwYmE6D6Px0NTUxPxeNzoKCJFxONxgsGgrEz3gl4tprdu3cqbb77J3//+d+68884dHqutre3NLy2ELuKRxPlam2u4wUmEHkJN7fhrEu/Wq2PSZ2XakmUjf5+hgIzIEruWWJV+GLtnPFkFUwDIKpgiq9NdUHz4aQSb9kVRoHnNPYSaZZusSE+qqhKPx2lubjY6ikgRwWAQTdNkZboX9Eox/fzzzzNlyhQGDx7MiSeeyOWXX86NN964w3OuueYaSktL+eMf/0g4HO6NGEL0mMmaWAXMHjzG4CRCD8kt3jmlA7DmpFc3y++3esu5abGztqr5hLzLUMdf3NHBd/vVaX/tfwxOmB7KTrmbcFs2ttx21v3ftUbHEaJbnE4nNptNzk2LDoFAAEBWpnuBrsV0c3Mzs2fP5qyzzuKLL77oeCd8d++Ib968md/85jccdNBBbNy4Uc8oQvRY1N+GNacdkE7emSLZfMyTRlu8kzqakH1ZSTwaMziNSCXtNZ+w9cvfYVPHdaxKJ2UVTMGmjqP+v9fSXPkqWkzevN4Tu5pPXvmvEz92fUP1h/9ncCIhuk5RFDwejxTTooPf78dkMmGz2YyOknF0K6YjkQgnnHAC7777Lpqm7bWQvuqqq7jwwgtxOBx89913HHnkkbS2SgdNkTqaK5ehKBANWskqKDE6jtBBx3npNGo+lqSOKcKal0W0PdTxpoDo37R4FO/SB6n77FcQj+CZcMlOc2UVRcEz4RK0WJDGr39P1fwTaVr9DPFIu0GpU1/h1BMJtRwEQNvG+wk21hmcSIiuU1WV9vZ2QqGQ0VFECkh28pbZ4/rTrZj+y1/+wieffIKmaQwdOpS5c+fy7rvvsnTpUg477LCdnn/AAQfw8MMP89133zFhwgQqKyuZO3euXnGE6LG2TcsBiAbcMpMvQyS3eadT87EkxWxi0IFlgGz1FhANbGXLx5fStOopUEzY1fE7rUonJc5OjweTnVhwK97v/kzVW8fjXfYQsZB0/N2VstPuItySi9UZZN0/rzE6jhBdpqoqgHT1FoB08u5NulQImqZx9913oygK5513HqtWrWLu3LkceeSRjB8/fo9/eGVlZbz77ru43W4ef/xxgsGgHpGE6LFg47ZGT0qBsUGELoINrQTqmkFRUEcXGh2nW7YfkSX6L3/dYja/dybBhq/BZActjjrh4t2uOCTOTl8M8RB5I8/EmlNKPNJC08rHqHrrOBq+uZeoX5qCbs+Wk4c64Tq0ODjUFVS9O8/oSEJ0ic1mIycnR4ppAciM6d6kSzH99ddfU19fz3777cfjjz+O3W7v0vVDhgzh/PPPp62tjUWLZISHSA2xQGIrrSW71OAkQg++VYlV6bzhA7Fkd+3fqFSRPDfduLSKSLts3etvNC2Gb/kj1C68nHjIhzVvJLbcoVicxZjtbkK+Vbv9MNvdWJzFhBqXUnT0Sww6+A/Y1LFosRAtFS9QNf9E6j+/hXDLOqN/mSmjYPJRRAKJnXXB2ofx18nxCpFePB4PPp9Puvn3c7FYjFAoJCvTvcSix02+++47AC688MJu32PatGnce++9rFixgunTp+sRS4geUZTEOTnHgJEGJxF68K5InpdOvy3eSTnF+TiLPLRXe9n6VSWFh40zOpLoI7Ggl/rFNxKo/xyA3BEn4Zl4BZsXnEEsUEf1v8/u1H20eARFi5NTfDjOopkE6j+nadVTBOu/oG3jm7RtfJPswum4x56LwzOhN39JaaH8tN+x9tnjsbua2fDa1Yy58Dk59iPShqqqVFVV0d7eTk5OjtFxhEGkk3fv0qWYbmhoQFEUxozp/vggl8sFIDPxREqIx6JYnIm/i7ml8oIyE/jSuPnY9gomj2TdK4up+7xCiul+IrD1a+oXXU8s2IBidjDggOvJHTobgKKZjxMLNXX6Xma7imJOdHNVFIXsgslkF0wm6F1G06qn8Vd/iL/mI/w1H+EYeCDuseeSNWhyv21aY8nKZsABt9Cy+n9xeCqoeutRhh1/kdGxhOgUl8uFyWTC6/VKMd2P+f1+AFmZ7iW6FNMWS+I20Wi02/eoq0usAjqdTj0iCdEj7ZvXYbbG0GIKeWVSsKQ7TdPwrUhs807HsVjbKzioPFFMy7npjKdpcZpXz8O77O+gxbDmjaDg4Luw5Y3oeI4lezCW7ME9/loOzwQGH3IP4Zb1NK2eR9vG+QS3fknt1i+xqWNxjzkHZ9EMFMXc46+VbgbuPxXvsiOwmt8j3PQUbZuPJKd4xN4vFMJgJpMJt9uNz+ejtFSOrPVXgUAAq9WK1Wo1OkpG0mWv0uDBg9E0jcWLF3f7Hu+88w6KojBkyBA9IgnRI63rlwIQbs/FbEvP87Xie8GtLQQbW1HMJlyj0vvfmEGTykBRaF1fj79OdvJkqlioidpPf4V36YOgxcgZOpuiw5/eoZDuDba84QyaNJfS2a+TN/IMFLODsG8l9f/9LZvf+Rkt61/rl7Oqy0+7hWBTPhZHhKq3riEejxsdSYhO8Xg8NDU1EYvFjI4iDCKdvHuXLsX0j3/8YwAeeOABGhoaunz9N998w7x581AUhWnTpukRSYge8detAUCLDjA4idBD8rx03ohBWBw2g9P0jM2V3bFVvf5zGZGViYKNS9n83s8J1H6GYrIz4MAbGTjpVkyWvnsxZMkezID9fk3psW/iHnchJmsekbYqGr78HVVv/4SmNc8Qj/r7LI/RzDY7gw/5HfGoCYdnIxtee8DoSEJ0iqqqaJomxyj7Menk3bt0KaZLSkqYMmUKDQ0NTJ8+nSVLlnT62tdff50jjzySaDTKjBkzGDRokB6RhOiRSOsGAEz29N4SLBI65kuncfOx7cmIrMykaRrNa56j5sMLiAXqsOaUUnj4k+QN/4lhZ5bNdjee8RdReuy/8Ox7FWbHQGKBerxL/kzVm8fhXf5wl85spzPP+Elo2rEAxALP07JuhcGJhNi77Oxs7HY7Xq/X6CjCILIy3bt0a0n5hz/8AYCVK1dywAEHcNRRR/HAAw+wcOFC2tvbAVi7di1ff/01r732GnPnzmXffffl5JNPxuv1YjKZuOOOO/SKI0SPaLEtANjdci4uEySbj6X7eemk5Iisus8rZORJhohH2qj7729oXHIfaDGcxUdQdMQ87O5RRkcDwGR14h51FqWzX2fAgTd+P6t6xaOJWdXf/rFfzKouO/V6gr4CzLYYm9/7LfFY93vFCNEXFEVBVVWZN91PRSIRotGorEz3Il0akAFMnTqVO+64g+uuuw6A999/n/fff7/jcU3TdtntO/lC8N5772XSpEl6xRGiR8z2xDu42UXd71AvUoOmaXhXJFem07uTd1L+PkMxO6yEvG00V9TiHpne58D7u5BvFXX/vZZoezUoFvL3+1/yyn6Wkh20FbONvOE/IXfY8bRXf0jTyqcIN62iZe3ztFS8RM7Q2bhHz8GWN9zoqL3CZLFSOONOtn5xIQ5PDetevofy064zOpYQe+TxeKitrSUUCmG3Sx+Y/kQ6efc+XYclXnvttdx///3YbLaOIjn5/4qioGlax0fyMYfDwd/+9jeuvPJKPaMI0W0hXyNWZxAAV9k+BqcRPeWvbSLc1I5iMePKkKLTbLMw8EeJYqVusZybTleaptFS+TI1H/yCaHs1luxCCmc+jqv81JQspLenKGZyio+g6Ih/MPiwB3EMPBC0GG0b/sXmd0+l9j/XEPQuNzpmr3CP3AfFenLik9ir+FZ9Y2wgIfZCVVUA2erdDyVnTEsx3Xt0LaYBrrjiCr799lvOOeecjne/ti+gk+x2O+eddx5Llizh4osv1juGEN3WXJk48x/x23F45Ax/uvNtaz7mKh+M2abbZhzDFRwk56bTWTzSTv3iG2n4+i60eJjswsMoOvIZHJ7xRkfrksSs6ikUTn+IwplPkV04HdDwV39IzfvnUPPxJfjrFmfccYQRJ/+aoLcIkzXOloXXE49GjI4kxG5ZrVZyc3Nlq3c/5Pf7sdvtmM39b6xhX+mVV5ajR4/mySef5OGHH2bx4sWsXr26492w/Px8Ro8ezUEHHYTNlt5ddUVmaq9eCUAs6DE4idBDsvmYJ0O2eCcVTEkU0w1frycWimC2y/zIdBFurqDuv9cSad0IihnPxCtwjfp5yq9G740jfwKDD703Mat61dO0Vb1NsP4Lauu/yLhZ1SazhZKj76b203NwqFupePF2Rv38NqNjCbFbHo+HmpoaNE1L+39rROdJJ+/e16vLNDabjalTpzJ16tTe/DJC6CrkW4fNCYo5M7YE93fJsVhqhjQfS8orK8CRn0uwsZXG7zYyaFK50ZFEJ7Ru+FdiNToWwpw1iIIpd+AYsJ/RsXRlyxvOoINuQR1/Ec1rnqV1/asds6qtOaW4xswhd+ixKKbdvwHkr1uMd8n9ePa9kuyCyX2YvvNyh42m4Zsz0aLzMJnepnHpbPInTjE6lhC7pKoqGzdupK2tjdzcXKPjiD7i9/txuVxGx8houm/zFiLdxUOJ4suaM9TgJKKnNE3r6OSdKc3HkhRFYdBB33f1FqktHg1S/8WtbP3iVrRYiKyCgyk+8tmMK6S3Z3UOYcD+VydmVY+9AJM19/tZ1fNP3O2sak3T8C17iHDzGnzLHkrpLeJDT7ycoHc4JotG/aKbiYVDRkcSYpfy8vIwm81ybrof0TSNQCAg56V7mRTTQvyAYm4AIKsgNUbSiO5rr/YSaQ1isllwlRUYHUd3HSOy5Nx0Sgu3bqD6/XNo2/AvwIQ64RIGT70fs101OlqfMNtVPBMupvTYN/HscxVmx4DvZ1W/dfxOs6oDdYsIeZfiGnkmIe9SAnWLjAu/FyaTiaHH3Us0aMXu9lLxws1GRxJil0wmE263W85N9yOhUIh4PC7bvHtZrxXTX3/9Nddeey3Tpk2juLgYp9OJ0+mkuLiYadOm8dvf/pZvvpEOmCK1xMIhrDktAOQOm2hwGtFTyeZj7pFDMFkzp/lYUsG2lWnfympCTe0GpxG70lb1LtX/nkOkpRKzPZ8h0/6GOvZ8FKX/vZdtsjpxjz6L0tlvMOCAG7HklBAPN+8wqzrSvgXf8keweybi2fdX2D0T8S1/JKVXp51FQ7F7zgfAYv+ArV9/ZGwgIXbD4/HQ3NxMNCrz0fsD6eTdN3T/br569WqmT5/OpEmTuPfee/n000+pqakhEAgQCASoqanh008/5Z577uHAAw9kxowZrFmzRu8YQnRLy4ZVmMwa8YiJnFI5g5ruvNuaj6njMmuLd1LWIBd5IwaBplH/ZaXRccR24rEQDV/fRf3iG9CifhwDD6DoqGfJGnSg0dEMp5ht5I34CSXHvMygKXdhc49GiwVpWfs8m+afSMi7FHX8L1EUBXX8L1N+dRpg6LEXEPSORjFpNHx9O1F/m9GRhNiJqqpomkZzc7PRUUQf8Pv9KIqCw+EwOkpG07WYfuutt9h///355JNPdpozvb3tH/v444/Zb7/9ePvtt/WMIkS3tG1cBkCk3YXJnHkrmf1NcmVaHZtZzce2VzBZRmSlmkjbZmo+OJ+WypcBBffY8xky7W9YHAOMjpZSFMVMTskRFB3xDIOn/gX7gB+BAjZ1HFkFiUZeWQVT0mJ1GmDYSfcQ8duxu5qpePEGo+MIsZOsrCwcDoecm+4nAoEADocDk6n/7YTqS7r97n711Vf89Kc/JRQKdXzDs9vtTJw4kdmzZ/Ozn/2Mn/3sZ8yePZuJEyd2zKAGCAaDnHTSSbLtWxguuHUtAJom86XTnRaP41u1bSxWhnXy3l6ymK6XJmQpob36Q6r/fRbhplWYbG4GT30Az4RLMmIcVG9RFIXswQejjj0PtPi23y+l47Hk6rS/9j8GJ92z7EGFZBdeCoDV+Rm1/33H4ERC7EhRFFRVlXPT/YSMxeobuhXTF198MeFwGE3TOPLII3n77bdpampiyZIlvPnmm7z44ou8+OKLvPnmmyxZsoSmpibmz5/PEUccAUA4HObiiy/WK44Q3RJprwLA7CgxOInoqbaqRqLtIcx2K7nDBhodp9cM2H84itlEe7WXts2NRsfpt7R4hMZv76PuP9cQj7Rhz9+H4iOfJXvwwUZHSwuapnWclU6uSidlFUzBpo6j/r+/pWX9G2jxiEEp967kyJ8TbJqAokDTyrsIt8p2WpFaPB4Pfr+fYDBodBTRy/x+v5yX7gO6FNNLly7lq6++QlEU7r77bt59912OPvpobDbbbq+x2Wwcc8wxLFiwgLvvvhuAL7/8kmXLlukRSYju0WoBcHjKDA4iesq7bSSWe3QhJkvmrgpanXby9ykFoG7RWoPT9E9Rfy01H/6S5rXPAeAadTaF0x/Bkp15HeR7S7KDd/Ks9PYURcEz4RK0WICGL29LjNVa/Q/ikdQ8l1x2yr1E2rKw5bZR+eK1RscRYgeqmpgiIFu9M1s8HicYDMrKdB/QpZj+/PPPATj22GO5+uqru3z91VdfzbHHHgvA4sWL9YgkRJfF43EsWYmtT86ScQanET3VcV46Q5uPbe/7c9NSTPc1/5ZP2fzezwl5l2Ky5lJwyL3k73slikl6LnTWnlalkxJnp8eDyZYYq/Xd/Wx881gav/sL0cDWPk68Z3Z1ALkjfpX4setLaj5+xeBEQnzPYrGQl5cnW70zXDAYRNM0WZnuA7oU0w0NDSiKws9//vNu3+Oss85C0zQaGhr0iCRElwW31mBxRNA0yCuTsVjpzretk7cng5uPJXWcm/6yEi0WNzhN/6DFo3iXPkjtp1cRDzdjV8dRdOQzOIumGx0t7expVTopcXb6YoiHyRt5JtbcYWjRdppXP03VW8ez9YvbCLes7+Pku1c47WRCzQcA0LruT4R88tpGpA6Px4PP50v5pn6i+5JjsWRluvfpUkx7PB4ACgsLu32P5LXJ7SdC9LXmyu8AiLRnY8vJMziN6Akt9n3zMTWDm48lqWOLsOY4iLQGO95EEL0nGtjKlo8vpWnVUwDklZ9G4YzHsDozfxeE3pKr0hZnMWa7m5Bv1W4/zHY3FmcxocalFB31IgWH3odjwH6gRWnd8Aab3/0ZtZ/9L8GGb43+ZQFQdupdhFtzsOYEqPy/a4yOI0QHVVWJRqO0trYaHUX0Er/fj8lk2uORW6EPXfahjRw5Ek3TqKur6/Y96urqUBSFsjI5qyqMEdiyCoB4WMbXpLuWDVuJBSNYsm3klmb+n6fJYmbggSOo+WgFdYvX4pkgDfR6i79uMfWLbyQe8qFYnAw88CZySo4wOlb6ikeIBuqJBeqo/vfZnbpEi0dQtBjOwsNwFh5GsGEJTav/gb/mY/w1C/HXLMSevw/u0XPILjwMRTFmLIwtT8U99lraN92EQ13Kpveeo+TIMw3JIsT28vLyMJvNeL1e8vJk8SATJTt57263j9CPLsX0YYcdRmFhIa+++iqnnHJKt+7x6quvkp+fz/Tp03d67L777mPZsmU88cQTPUwqxO6Fm9djywXFMsToKKKHfMnmY2OKUMz9Y75iweSRHcX02PNnGh0n42hajKaVT+Bb/gigYXONouDgu7DmlhodLa0pZhtFMx8nFmrq9DVmu4pi/n61xTFgXwYP2Jdwywaa1zxD68a3CDV+R91/rsaaOxTXqLPJGToLk9m+h7v2jsEHz2LVqnew5XyGv+av+Ounkz2o+7v4hNDD9iOyhg0bZnQc0Qukk3ff0eVVpslk4u677+aFF17gn//8Z5evf+WVV3jhhRf43e9+h9m8c9fd9957j6efflqPqELsVjxSA4DNNdzgJKKnks3HPGP7z7bb5Lnphu+qiPpDBqfJLLGgl9pP/gff8ocBjdzhP6Hw8CekkNaJJXswdnVMpz921yXdljeMgQfeSOnsf+Eecx4maw6R1o00fPU7Ns0/gaZVTxEL9/221vLTfk+oOQ9rdogNr8l2b5EaPB4PLS0tRKNRo6OIXiAzpvuObks2Z555JnfffTdnn302V1xxBRUVFXu9prKykiuvvJIzzjiDa6+9ll/+8pd6xRGiy0zWRIOY7MFjDE4iesq77dyw2g+ajyXllOSTPcSNFo2x9evUacSU7gJbv2Hzez8nULcYxexg4KRbGHjgjZjMDqOjid2wZA3AM/EySo99C8++V2HOKiAWbMS79EGq3jqWxiV/Iuqv7bs82Tnk738zWlzBoa5m41uP9dnXFmJ3VFVF0zSampqMjiJ0FovFCIVCsjLdR3Sb3fGLX/wCSJyf/tvf/sbf/vY3hg4dypgxY1BVFbs9sb0qHA7j8/lYtWoVGzZsAGDEiBHU1tZ23OOHli5dqldMIXYp6m/DmtMOSCfvdBePxmhak9hl0B+ajyUpikLB5JGsf+0L6havZciP5U2hntC0OM2r5+Fd9nfQYlhzh1Nw8F3YXNLXI12YrE7co87CVX4abZsW0LRqHpGWSprXPEvz2hfIKT0G9+izsbnKez3LoAOm41s+A2vWB4Qan6C9+kicRUN7/esKsTtZWVlkZWXh9XoZMCDze4v0J9LJu2/pVkw/9dRTOxxy1zSNDRs2sHHjxl0+P9mOX1EU1q1bx7p163Z7b03T5AC96FXNlctQFIgGrWQVSPOmdNayro54KIo1x0FOscfoOH2qo5j+fO87g8TuxUJNbP3iFvxbPgUgp3QWAw64DpNFXpikI8VkJXfoseSUziZQ+x+aVs8juPUr2ja+RdvGt8gafCjuMXNwDPhRr77WKD/tVtbM+xa728vGN69mzIUvYjL1j54OIjUlz02LzOL3+wFkZbqP6P6vuKZpO8ytS37+w4+9Pb6r5wrRW9o2LQcgGnDLi5s051uR3OJdhNLP/iwHTSoDRaGlso5AQ4vRcdJSsHEZ1f8+C/+WT1FMNgYccCMDD7pNCukMoCgK2UMOpXD6wxQe/hTO4sMBE4Haz9jy0UXUfHAubZvfR9NivfL1zfYsBk25jXhUweFZz8Y3/tYrX0eIzvJ4PAQCgY6VTJEZAoEAVqsVq9VqdJR+QbeVaYCysjJ+/vOf63lLAJ555pk9rlwL0VPBxgqsDkDZdWMbkT682zp596fz0kl2txP36EKaVlVTv7iCocf+yOhIaUPTNFoqXqBxyf2gRbHklFBw8F3Y3aONjiZ6gcMzAcfBfyDStonmNc/Suv5fhLzLqf/vtVhySnCP+jk5w47T/Wx8/sQpNH43CxPzibY9Q+vGo8gdOkrXryFEZ7ndbhRFwefzySpmBpFO3n1L12K6vLycuXPn6nlLABYtWiTFtOhVscBmrA6wZEt33nTnSzYfG9d/Onlvr2ByOU2rqqlbvFaK6U6KR9qo/+JW/NUfAuAsPiLRZMyaY3Ay0dusOSUM+NFvUcf9kuaKl2ipeIlo2yYavr4L7/KHcZWfRl75zzDbXLp9zbKf3cDqp77AoW5l0zvXMObCV2VHlDCExWIhLy8Pr9dLYaGMbMsU0sm7b8m/3kIAilIHgGPASIOTiJ6IhaM0rdkCgKcfrkzD9yOy6j6vkGMynRDyrWLzez9PFNKKhfz9r2HQlDulkO5nzA4PngkXU3rcm+TvdzWW7CHEQz58yx+i6s1jafjmXiLtNfp8LZudIYfdQTxiwuGpZv0//6jLfYXoDo/Hg8/nIx6PGx1F6ERWpvuWbivTc+fOpby8dzpinnXWWUyZMqVX7i1EPBbF4mwGILd0gsFpRE+0VNaiRWPYXNlkF6pGxzHEgH2HYrJbCDa00rKuHleZHF3YFU3TaF33Co3f/hEtHsaSPYRBB9+JwyP/BvRnJks2rpGnk1d2Cu2b/03T6nmEm9bQUvECLZX/R07JkbhGn93j7f/qmP1pXPIT4BXikZdpqjgGd7lMkhB9T1VV1q9fT2trKy6XfjswhDEikQjRaFRWpvuQrsV0b+mNc9gi891yyy2YzWZuuummPT6vffM6/vb6ZmIxjT+dOK6P0one4N2++Vg/nQBgtlsZuN9w6havpW7xWimmdyEe9dPw1R20Vb0DQPaQqQw86BZdt/KK9KaYLOSUHoOz5GgC9YtpXjWPQP3ntFW9Q1vVO2QVTME9eg6OQZP2+G+Nv24x3iX349n3SrILJu/w2IhTfsOqx/6Lw7OFmg9+S96w1zBZpGGQ6Fu5ublYLBa8Xq8U0xlAOnn3PdnmLTKW2Wzm5ptv5vbbb9/j82679Wb+/FINRB2YbfY+Sid6g68fNx/bXsHkxC6husVrDU6SesLNFVT/e06ikFbMePa5koJD75NCWuySoihkF0xhyLS/UXTEMzhLjgZMBOoWsWXhpVT/+2zaqt5Fi0d3ulbTNHzLHiLcvAbfsod2OnZhMlsoPvIPxMJmHGodlf93Vx/9qoT4nqIoMiIrgyQ7s0sx3XekmBYZ66abbuK2227bY0F9++23c++TL3LVqYVcPOvAPk4o9OZbkSimPf20+VhS8tz01q/XE4/s/CK/v2rd8CbV759DpHUD5qxBFE5/GPfos/vtLgbRNXZ1DAVTfk/J7FfJKz8NxWwn3LSK+sU3sOntk2mueJF49PsRQ4G6RYS8S3GNPJOQdymBukU73TNvxDjMWacDoPAvvCu+7LNfjxBJHo+HlpYWIpGI0VFED/n9fux2O2az2ego/YYU0yKj7amgvv3227n55pu54sQDueKUIZjs/Xs1M93FghGaKxON5Pr7yrRr5GDsqpNYIEzjd1VGxzFcPBpk6xe3sfWLW9BiIbIKplB85LM4BuxndDSRhqzOIgbsfw2lx76FOv4iTDY3UX8Njd/cQ9Vbx+Fd/jDRoBff8keweybi2fdX2D0T8S1/ZJdNAYf95EqC3lJMlji1n91ALBwy4Fcl+jNVTfQYaWpqMjaI6DHp5N33pJgWGW9XBXWykL7tttu4eNYQAOzuEUbGFD3UVLEFLRbHrjrJKujfW3YVk4lBB23b6v15hcFp+o6/bjGbF5yJv25xx8+FWzdQ88G5tG54AzChjr+YwVMfwGzvnw3qhH7MdjfquAspPfZNBvzot1icRcTDzTSteJSqN48l5F2KOv6XiW2043+529Vpk8lE6bH3Eg1acbgbqXjxVgN+NaI/czgcZGdn4/V6jY4iekg6efc9KaZFv3DTTTdx/vnnc/PNN2OxWDoK6ZtuugmzPfHNI7tojMEpRU/4OpqPFcu2XaDgoP51bnpX51Pbqt6l+t9zCDdXYLbnM2TaX1HHXYCiyLc+oR+TxUFe2SmUzHqFQVPuwuYeC8SwqePIKkhMIskqmLLH1emc4hHY3OcCYLG+R8O3n/bhr0AIOs5Ny0jF9KVpmqxMG0BeUYh+Y/r06QDEYjFsNhs33XQToWYvVmcQAFfZPgamEz3V0Xysn5+XTkqem/au2Ey4xW9wmt73w/OpdZ/9ivrFN6BF/TgG/oiiI58la9Ako2OKDKYoZnJKjkCdcAlocTwTLul4Y29vq9MApcdeSNBbjmLW2PrlLUQDmf/frUgdHo+HYDDY0cBKpJ9QKEQ8HpeV6T4mxbToN9asWdPx43A4zO23305zxXcARPx2HJ5BRkUTOvCtTKxMe/r5eemk7MFucocOhLhG/ZfrjI7TqzRN2/F8qjoOf+1/AHCP/QVDDvsblqwBBqcU/YGmaTSteBS7Z2LHqnTS3lanTSYTw35yL9GADburiYoXb+yr2ELgdrtRFEW6eqex5BshsjLdt6SYFv3C7bffzu23386BByY6du+7777cfPPN3HXfHwGIBT1GxhM9FA2GaV63rfnYOCmmk/rLiKzkqnTH+dRtK4Pq+IvxTLgUxWQxOqLoJ374d3F7nVmdzi4oxlFwMQDWrIXUff5er2cWAhLjRF0ul5ybTmN+vx9FUXA4HEZH6VekmBYZb/tmYw8++CCQWKW+/vrr+dNzb/KXl7egmIcYnFL0RNPqLRDXcAzIJWtgntFxUkZyq3fd4sxsQhYN1NNc8X/UL7phF+dTJ+Df8pmc/xN9ZvsdEj9clU5K/N0cv9vVaYDSo+cQ9I1DMYFv6R2E21p6M7YQHTweD01NTcTjcaOjiG4IBAJkZWVJ35g+JsW0yGjbF9I33XQTBx10EOPGjSMQCDB06FAuP34Cf36phocXZPY22EzXcV5atnjvYOABI1DMJto3N9Jenf6rDZqmEW6uwLfycar/PYeqN2fT+M0fiEdadnE+9aI9rgAKobc9rUonJf5uXrzXv5sjfnoPkXYHtrxWKl+8rrciC7EDVVWJxWK0tMgbOOlIOnkbQ4ppkbF+WEhD4oXMeeedB8CTTz7JpScM4qpTC7n//97faQ61SB++FYli2iPNx3ZgzXHgGV8CpO+ILC0eXbdcgwABAABJREFUJbD1axq/vY9Nb/+EzQtOx7fs74R8KwBQrDnYPeO7fD5VCD0lV6UtzmLMdjch36rdfpjtbizOQhq+umO3fzcd+QXklP4PAPa8xdR88npf/nJEP5WTk4PVapWt3mlKOnkbI2UOkj333HNUVFRw8803Gx1FZIhYLLZDIZ109tln89vf/pZFixax4eTxXHHKEOzq8cRiMYOSip7yrvx+LJbYUcHkchq/20jd4rWMOOkgo+N0SjwaIFC3iPbqj/Fv+YR4uLnjMcVkI6vgILILp6FYsti6+EbU8Rfv9nxq7SdXEKhbRPbgg/v6lyH6k3iEaKCeWKCO6n+f3blrFAtNq+ehjjlnlw8XzTyVlY8uwO7+lpaKP5K/z1TsLunvIXqPoigdI7JEeonH4wSDQVmZNkDKFNP/+Mc/WLBggRTTQje33HLLTj/nXbaJtY+/z/65I/iyaS2vfNLAtcUlHPCVmyFTh+NdvqljJU+kh0h7iNYNWwFQx8rK9A8VTB7Jikffp/6LSrRYHMWcmhuSosFG/DWf4K/5mEDd52jxUMdjJpuL7CE/xlk4jazBUzBZstE0jZoPftGJ86mJ1emsgilyjkz0GsVso2jm48RCTZ16fnPlP2lb/yq+pX/BZLbhGnnGLp834tS7Wf/KT7Dl+Fn30m8Ye+FjOqYWYmcej4dVq1YRiUSwWq1GxxGdFAwG0TRNimkDpEwxLURv2/zBMhZd9xwAM/In8GXTWl5b2MivTikGTaP2s9XUfraaKXeeSfHMCQanFZ3VtLoaNI2sAheO/Fyj46Qcz4QSLE474WY/vtU1eFKo23m4dQP+6o9pr/mYUONS4PstrxZnEdmFh+EsnIZjwH47deROnk8dPPUvezmfKqvTom9YsgdjyR7cqecOPOB6LA6VppVP0PjtH0Ex4yo/dafn2V0eXCN/Q2DLLdjd31L9wUsUzdz5eULoRVVVAHw+H4MGycjQdOH3J+bSyzbvvtepYvq2227r7RxUVKTneT6RHrzLNrHouufQ4nHQYNq+Kk80WGhojvLp8iaGDvfSsj4fFFh03XPMfOISWaFOE74V2+ZLp1CRmEpMFjODDhhBzcKV1H9eYejvk6bFCXmXJbZv13xMpHXDDo/b1LE4C6fhLJqONa9st0Xyrs6n7k7ifGqxrE6LlJJ4oycxwq1p1VM0fnM3imIir+yUnZ475MfHsfLxt7HnLaat6gGCjdNw5BcYkFr0B3a7HafTidfrlWI6jQQCAUwmEzabzego/U6niulbbrml11+AaJomL3JEr1nxxAeJH2iJ/ymdto6TIvk89q86/u+DBu47u4KW9R7QEn8HVz7+AYfet+tzbCK1eKWT914NOqicmoUrqVu8ljHnTu/Trx2PBQnUfYG/5mP8NZ8QCzV+/6BiIWvQgWQXTsNZeBiW7E4WCN04n6rFIxCPgFleaIjUkJiJfhmaFqN59T9o+PouUEzkjTh5p+eWn34XlS+cgC2vlXX/vIZxv5xnQGLRX6iqytatW+W1eRpJNh+TP6++16Vt3l3piKooyl6f35nnCNFT/tomtnyyCrb9Xcsb7sU5pJVTZiSK6Y++aSbwSy9521antVicmk9W4a9tInuw29jwYq98yeZj0sl7twqmJOZNN3y7gWgwjMXRuwVlLNSEf8untNd8TKD2v2ixYMdjisVJ9pBDcRZNJ3vwIZisOV2+f1fPpwKY7SqKFNIixSiKgmfi/4AWp3nNszR8dUeioB7+kx2eZ3Xmou5zA23rfotDXUHV209ROutcQzKLzOfxeNi8eTN+vx+n02l0HNEJMhbLOJ0upgsLCzniiCP2+rxPPvmEdevWoWkapaWljB07FrfbjcPhACAUCuHz+Vi1ahUbN24EYN9992W//fbr3q9AiL2o+7yio5AGjcKpFWhxGFmcxX4jnXy7tp1XF3o5c+q21WkU0DTqv6hg2PEHGhld7EW4NUBbVQMA6hgppncnd+hAsgpcBOqaafhmA4MPHqX714i0baa9JrF9O9iwBLTvu+ObswpwFh5GdtE0sgYegGLqeVObrpxPFSKVKYqCZ5+r0LQ4LWufp+HL36MoZnKHHb/D8womHYFv+TRszo8Jbn2E9trDcQ6W40hCfy6XC5PJhM/nk2I6TQQCAVwul9Ex+qVOF9MTJ07kySef3ONzrr/+ejZu3Mgll1zClVdeyahRe37BVlFRwZ///Gcef/xxzjrrLH796193No4QnRb1h8CkQFzrWJVOOmVGPt+ubeefHzVwwfGDOlanURQi7aE93FWkgqZViVVpZ5EHu1u+4e+OoigUHFTOhn99Rd3itTsV0/66xXiX3I9n3yvJLpjcqXtqmkbYt7KjgA4379j3wuYamdi+XTQNm3uMbD0TYg8URSF/3/8FLU5LxYts/eI2QCF32HE7PK/8tNtZ+8wJ2N1NbHz9asZc+DwmU2p26Bfpy2w243K58Hq9FBfLEapUF4vFCIVCsjJtEN26eT/22GPcfffdvPjii/z0pz/t1DXl5eU8+OCDzJw5k1NPPZXCwkLOOGPX4yGE6C5Lth3iGtuvSivbXnscd4iH3z21ibWbgyxZ62dkcnVaA6vTbmhusXfeFcn50rIqvTcFk0cmiunPdyx6NU3Dt+whws1r8C17iKxBB+2+8Vc8QqD+K/w1iQ7csUD99w8qZhwD9kts3y48DKtT/kyE6ApFUcjf72rQYrRUvszWL24FxUzu0Fkdz7FkZTPwoFtpWnkVDk8lG998mOEnXGJgapGpPB4P69evJx6Pyxs2KS4QCADSydsonfqv47LLLuP444/f7eOxWIwbbriB008/vdOF9PZOPvlkTj/9dH7961/LGWqhu4KDykFROlalle3+1udmmzlmcmIMxMsfNeAc0krecC8oCoMmlRuU+P/Zu++wqM7sgePfO30Y2gwdESyABXvvNRpNYkszPTE9v42buum9uCmbno1pGpOYoptiElOMGo0tYhe7YKNIkc4ww9T7+2OEiKICDs4A7+d5eFS4c+8ZUWbOPe97jlBfJaL5WL1FDvD8ey7bn0tV0d+rM6pHTIUkXYOteAfW/PW1Hud2mDFn/kb++kc5/MMF5K2+m/ID/8NlLUBS6jG0GUPEgGdJmPw7saM+ICTpapFIC0IjSZJEWO+HCOowDZA5tuFpzJm/1TomvOdQ3I7xADjKPsOcJaahCN5nNBpxu92UlZX5OhThLKrHYonKtG/UK5l+5513uOuu09/5XLlyJceOHWPatGmNDmTatGnk5+ezcuXKRp9DEOoSEB1KzPBOxA4/gOw+9euXjQ4D4Ke1xVisbmKHHyB2eCfRfKwZqG4+ZhLNx85KZwokJDkGgIKNB4C/R0xpTd0x9bwPrak7Jbs+xFGZS1nGQnJX/YPDP4ylIPUJKrOWIjsrUWrDCGo/jehhb5IwZRlRQ14hKOFilBqxV0sQvEGSFIT3eZSg9lMBNwWpT2HOWlrrmI7Tn6KqJByVzkHmLw/hdtfx4iYI58BgMKDRaCguLvZ1KMJZWK1W1Go1avW59yMRGs4r6zYOHDiAJEnnNI8uMjISWZZJT0/3RkiCUEvSdBOGmPJaVelqg7oGERehwWx1s3RTCYaYchKnm85/kEKD2EorqczxvMiHiuZj9RI10NPVOz/V83O2uiptTLn9+Nzb27EV7yDrl0kUbX0Fa34qyC7UQe0J7XwTsWM+IX7Sr0T0e5yAmGEolGIrhCA0BUlSEN73MQLbTcKTUD+BOXt5zdeVGi3Rw17A7VSgM2Vy+Ps3fRar0DJJkoTRaKSkpMTXoQhnITp5+5ZXkunqu1ZHjx5t9DmqHyv+0wreJssyjopvgLr3gSoUEpcfr07/b0URIOGo+EZsOfBzJcebjwXGh6MJEi8i9RE10LPUOz81HbfbXVOV1kcNAkAfNQiNsStICjSmHph6/JO4Cd/SdsL/MHW/G11Yd6S67kgJguB1kqQgot8TBCZcDLKLgvWPUZmzoubrpq79kPFswXNVLaD84G5fhSq0UCaTCbPZjN1u93UowhlUz5gWfMMr74oiIiKQZZkvv/yy0ef44osvkCSJ8PBwb4QkCH9zO3BZ8oDTJ8eXjgxDkuCvnRVkF1ThsuaD23H+YhQarEQ0H2uwiF7tUWhUWAvKKU5bUqsqDcdH9HS7C2Q3ppTbCO10A5qgBB9HLQitlyQpiej/FIHxE0F2kf/XI1Qe/bPm6x2veISqkmiUGhfZSx/G7XL6MFqhpTEaPT1lRKHLf8myLCrTPuaVZHrAgAEALF68mDfeeKPBj3/jjTdYvHgxAIMGDfJGSIJQQ1JqaHPBZ7S5YH7NR1jv2Uiax3C5HkTSPEaP8XMZPWIwAL9njqTN2M+QlBofRy6cSXXzMZNoPlZvSp2a8F7tAJmy9Dm1qtLV9FGDavZOi9UZguB7kqQkYsAzGNpe6Emo1z1M5dHVAChUamLH/BuXXYnOlMvBb17xcbRCS6LRaAgMDBT7pv2Y0+nE6XSKyrQPeSWZ7t69O3369EGWZR588EEuuugili1bhsNx+sqew+Fg6dKlTJw4kQcffBBJkujXrx8pKSneCEkQalEFRKM1dq75CEnsT/spl5J01VW0n3IpIYn9ufWOmQDMX7AYhS7CxxELZ1O8+3gnb9F8rEGiBiQS3L4YicO1qtLVTtw7fXJnb0EQfEOSlEQOeBZD3DiQneT/9RCW3DUAhCZ2R6G53HOgexEle7b6MFKhpaneNy1urvon0cnb97w2Z3r27NkMGzYMp9PJkiVLWLJkCTqdjuTkZNq2bYvBYECSJMxmM1lZWezfv5+qqirAs0RBq9Uye/Zsb4UjCA02depUQkJCOHLkCCtWrGDs2LG+Dkk4jaqiCqz5ZSBJhHYSyXRDRA7oiKPiEJqQlFOq0tVOrE7rowaddu60IAjnj6RQETnweQpkF5U5f5C/7iGihr5GQPRg2l/2AHs/WovOlE3u6scI7rgIpUY0CBTOnclkIisri8rKSgIDA30djnCS6hnTIpn2Ha91kunfvz8LFiyoacsuyzJWq5W0tDR+/vlnFi5cyIIFC/j5559JS0ur+eZXJ9LffPMNffr08VY4gtBger2ea665BoC5c+f6OBrhTKpHYgW1i0BtEG8YG0IbmokhuhRTjztPmySL6rQg+CdJoSJy0CwC2oxGdtvJX/sAlvz1KBQK2k54BZdNhc54jAP/e9HXoQotREhICAqFQuyb9lMWiwWtVotSqfR1KK2WV9uyTp06lU2bNtXa91zXspDqz8myzLBhw9iyZQsXX3yxN0MRhEa5+eabAfjuu+8oLS31bTDCaf29X1pUpRtClmVK93yMKqANSm0otpK9p/1QakNRGeLE3mlB8DOSQkXUoFkExI70JNRrHsBasJGghGRUgdcBoFD+StEOcSNMOHcKhYLQ0FCxb9pPiU7evue1Zd7VunXrxtq1a9m4cSMLFy5k/fr1ZGRk1CQmoaGhJCYmMnjwYKZPn07fvn29HYIgNFrfvn3p1q0bO3fu5Ouvv+bOO+/0dUhCHYqrO3l3Fc3HGsTtwGktwGXNJ2fZ9fV6iOx2eDrbi4Z8guA3JIWaqMEvkb/uISy5q8lbcy/Rw94iYfL/sfejVehMBylY/yShyT+i1Irln8K5MRqNHDp0CJfLJSqgfsZisRASEuLrMFo1SRYlB6EeTtwrYzabMRgMPo6o6bzxxhvcf//99O/fnw0bNvg6HKEOP014karCCkbPuYvwnmJ0U0M4LXmUH9xKya4nkRRg6vE0+sik0x6v1BpRBUSdxwgFQagv2WUnb92/sOatRVLqiB7+Nm5nGDlLr0alt+OwjKbTja/6OkyhmausrGTjxo306NEDk8nk63CE42RZZvXq1XTo0IG4OFFc8BWvLvMWhJbguuuuQ6VSsXHjRnbu3OnrcISTWI+VU1VYAQqJ0E4xvg6n2VEFRCO79iIpoPywicrcDrU63Z/8IRJpQfBfklJD1JBX0EcPQXZVkbf6HpTqEnThtwKg0q2kYNMfPo5SaO4CAgLQarViqbefsdlsuN1u0XzMx0QyLQgniYiIYNKkSQB88sknPo5GOFnJ8ZFYIR2iUOnE0uOGctkrKD/4PQD5G+LJT83wcUSCIJwLhVLrSaijBiK7rOSu/ieRA/pSVdIJSSFTtO0FHJUVvg5TaMYkSaoZkSX4j+pmzmLPtG81aTJ97NgxFi9ezOzZs/n3v/9d62t5eXlNeWlBOCfVjcg+//zzM85LF86/4uPNx4yi+VijVBz8DtlpQVLGUX4ojPzUdF+HJAjCOVIodUQNeQ1dZH9kp4Xc1f+kzZhbcFi0aEPKObDgcV+HKDRzJpOJyspKbDabr0MRjrNYLEiShE6n83UorVqTJNNfffUVgwYNIjo6milTpnD33XfzxBNP1DrmX//6F/Hx8bz22mvY7famCEMQGm3ChAlER0dz7Ngxfv75Z1+HI5ygRDQfazTZ7aAs/WsAQrtcDwoF5sxCLHmlvg1MEIRzplDpiB76BrqIvsjOSop3PIs+8lIA1IHryF33i48jFJozo9EIIKrTfsRqtaLX60875lI4P7yaTJeVlXHRRRdx3XXXsXHjxlojsOqSnZ3NQw89xIABAzhy5Ig3QxGEc6JSqbjhhhsAMXPan8iyfMJYLJFMN5Q5cwmuqmModeGEJk/CdPyGhKhOC0LLoFDpiB72JrrwPsjOSty2n7BVJCJJULb3ZezlJVjySjn04ybSv17LoR83iZtpQr2o1WqCgoLEvmk/YrFYxH5pP+C1ZNrhcDB58mSWLFmCLMtnTaTvvfdebrvtNnQ6HWlpaYwbN46KCrGnR/AfM2bMAOCXX34R2xL8hDW/DFtJJZJSQUhStK/DaVZkWaZs/3wAQpKu8jQuGujp4i32TQtCy6FQ6Yke/ia68F64HWa0obk4LTo0QZWkvXUnP096mX2ffoC95DH2ffoBP096mTX3f0rxrixfhy74uep902IQkH8QM6b9g9eS6XfeeYfVq1cjyzIJCQk8/fTTLFmyhB07djBixIhTju/bty8ffPABaWlpdOvWjQMHDvD00097KxxBOGedO3dm8ODBuFwuPv/8c1+HIwDF1c3HEqNRatU+jqZ5seanYi/LQFLqCergWfoZNTARgKOr97D/qzWiSiUILYRCFUD0sLfQhvUAVyVKnRsAU+cDBCUco83IDPThlbQZmQGym7y1+/jj5tlk/yEmWAinZzKZcDgcmM1mX4fS6rndbqqqqkRl2g+ovHESWZZ55ZVXkCSJm266iffeew+tVlvz9TN9ozt27MiSJUvo1q0bc+bMYdasWWIjveA3br75Zv766y/mzp3Lgw8+KPal+Fj1Em+xX7rhyvZ7bggFdZiKUhNM8c4s9n2+CgCX1c7Od3/DZXOCQiJ2eBe63DwaU0pbX4YstBLu4lLc5sp6H68ICkRhDGnCiFoGhdpAzPC3yVpyOy7rftwOBQq1m/aX7EJt8DTWNMRUENy+mPJDYSDB+ke/ZMzcu8T/faFOwcHBKJVKSkpKCAoK8nU4rVpVVRWyLIvKtB/wSjK9ZcsWCgoK6N27N3PmzGnw42NiYrjlllt47bXXWL9+PaNGjfJGWIJwzq688kruuece9u7dy/r16xk8eLCvQ2rVqpuPmUQn7waxle7Hmp8KkpKQpKvJ/mMnqY9/RWDbcPo8Oo34Cb1QG7Q4Km1k/raNjAXrWHHr+wx88WrixnTzdfhCCyY7nJTPehe5ov6VLik4kJBZjyCpvfIWpkVTqAPJ/nMUwW3zMMSUI7tBbXAgyyBJILshdngG5YdMIHtuFu+Z8wdDX7/Rt4ELfkmhUBAaGkpxcTHx8fG+DqdVs1gswJkLlsL54ZVl3mlpaQDcdtttjT7HyJEjkWWZ3bt3eyMkQfCK4OBgLr/8ckDMnPY1WZb/HoslKtMNUr1X2hA3lopDLlIf/4rYUSmM+2ImHS8biNrgWUmkNmjpeNlAxn0xk9hRKaQ+/pXYRyk0LZUShSnUk9nVhyShMIaCStmUUbUYlrxSjq48RPqC3lTmBiEdf9dX/dctKf6uTgPILjdHV+8V2z2E0zIajZSVleFyuXwdSqtmtVpRKpVoNBpfh9LqeSWZLiwsRJIkOnfu3OhzhIR4lmyVlZV5IyRB8JrqmdNff/01lZX1X4ooeFdlTjGOcisKtZKQjlG+DqfZcFryMGcuASA0+Tr2fLKCwLbhDHzuShSnqewp1CoGPnclgW3D2fPJivMZrtDKSJKEfsp4qG9DI1lGP2W82HJTT/kbMkCWcdnUpC/sjct+6tu+6uo0HP8eyDIFG0VTQqFuJpMJWZYpLS31dSitWnUnb/Gz0Pe8kkyrVJ43ZE6ns9HnyM/PB8BgMHgjJEHwmhEjRtChQwcqKir49ttvfR1Oq1Wyx7PEOyQp5rRJoHCqsvQFILvQRfTFZY/l6Oo9JE4fcta/Q4VaReKVgzm6ao+oUglNStU1CWVC3Nmr05KEMiEOVdek8xNYC+C02EDh+Xs1xFSg1LhPOebk6jSShKPSdj7DFJoRvV6PTqcTI7J8THTy9h9eSaajo6ORZZnU1NRGn+O3335DkiRiYmK8EZIgeI0kSTVjssRSb98pOd7J2ySWeNeb22Gm/OB3AIR2ut5TpXLLxE/oVa/Hx0/sDW5RpRKaVr2r06Iq3WCqAC24ZUAmdngG8qm5NHBSdVqWa7Z+CMLJJEmqGZEl+I6YMe0/vJJMDxs2DIC3336bwsLCBj9+69atfPbZZ0iSxMiRI70RkiB41Y033ogkSaxcuZKDBw/6OpxWqWa/tGg+Vm/lBxchOytRB7VHHz0Ep8WGUquu9xtltUGLQqsSVSqhyZ21Oi2q0o0SNSARJIng9sUYYipq9kyfrFZ1WpKI7J94fgMVmhWTyYTFYqGqqsrXobRKLpcLu90ukmk/4ZVkum3btgwaNIjCwkJGjRrF9u3b6/3YH374gXHjxuF0Ohk9ejSRkZHeCEkQvKpt27aMGzcOgHnz5vk2mFZIdrtrlnmL5mP1I7udlKV/BUBIp2uRJAWqAC0um6PeybGj0obb5hRVKqHJnbU6LarSjRIQHUrM8E7EDj9w2qp0NVmG+Av3EDu8EwHRoeclPqF5Cg0NBRDVaR+p7uQtlnn7B68k0wAvv/wyAHv27KFv376MHz+et99+m1WrVtU0bUpPT2fLli0sWrSIp59+mp49e3LppZdSXFyMQqFg1qxZ3gpHELyuuhHZvHnzRBfL88ycVYSz0oZCqyK4vbjhVh/mrKW4rPkotWEExk8EjlepFBKZv22r1zkyf90KClGlEs6PM1WnlQltRFW6kZKmmzDElJ+2Kl1NkkAbUoUpZRVu91kyb6FVU6vVBAcHi33TPmK1WgExFstfeK2Lz/Dhw5k1axaPPvooAMuXL2f58uU1X5dluc5u3/Lxu9D/+c9/6N+/v7fCEQSvmzJlCkajkaysLJYvX8748eN9HVKrUVOV7hSLQozEOStZlinb/zkAwUnTUSg9leWA6FBih3chY8E62k/ue8YmZG6Hk4yFfxE7oouoUgnnRXV12vz23FO+pggN8UFEzZ8syzgqvgEkarp1n4U2OI39n95L8o1volB4reYitDBGo5GcnBxkWRYrRs4zq9WKWq1GrVb7OhQBL1amAR5++GHeeustNBpNTZJc/askSciyXPNR/TWdTsd7773HPffc481QBMHrdDod11xzDSAakZ1vxcebjxk7i/3S9VFVsBF76X4kpY7gjpfV+lqXm0djziok9amFuB11T2BwO5ysf+JrKjKP0WXG6PMRsiAAdVSnj//i2L4b61c/IIuKacO4HbgsedQ3ka6mCVzH3jm34nY6miYuodkzmUw4nU4qKip8HUqrI5qP+Rev33KcOXMm27Zt48Ybb0Sr9VRDTkygq2m1WmbMmMH27du58847vR2GIDSJ6qXe33//vVjedB6VVDcfE/ul66V0/3wAgtpPQampXdEzpbRl4ItXc3TlLpZe+w4Hvllfs4faUWnjwDfr+f2at8j5YxcqnQZDrPG8xy+0XqfsnZZBO3YoSBK2P9djmf+dSKgbQFJqaHPBZ7S5YH7NR1jv2Uiax3C5HkTSPEZY79m0uWA+0cPeQqnzbKORZdCFprF3zg04rRYfPwvBHwUFBaFUKsW+aR8QY7H8iySfnOV6kd1uJzU1lX379tUkHmFhYXTq1IkBAwag0Wia6tKCl1VWVhIYGAiA2WxutfPAZVmmV69epKWl8e677/KPf/zD1yG1eLLLzfejnsFltTN+wX2EdIzydUh+zV6WQfbvVwEK2k78DnVg3TcgindlsWfuCo6u3gNuGYVWhdvmBIVEzNDOlB/Io/JoCTHDOzP09RvFMj7hvJFlmYp//xfXkWyUCXEEPfoP7KnbsMxbCLKMZlBvAm64HEkptnx4m9OSx9GVd+CszEGWPQsEqorbknjNPDRBYqm9UNvOnTtxOBz07t3b16G0GrIss3btWtq2bUtCQoKvwxFo4mRaaDlEMv23t956i3vvvZe+ffuyadMmX4fT4pUfzGfJlW+g1KmZ9uezSEqxh+9MCjY8g/nIYgxxFxA1+KWzHm/JK6VgYwaOShtqg5bI/okERIdSmp7L8hvexe1w0fuhKSReOfg8RC8IHo496Vi+/omAqyah7uJpPGbfuJ3KuQvA7UbdtweGW6aLhLoJOCpzyV15B07L0b8T6pJIOlz2CbowcTNT+FtOTg4ZGRkMHToUlcprbZiEM3A4HKxdu5aUlBQiIiJ8HY6Aj5Pp3NxcUlNT6datG4mJolusPxPJ9N8KCwuJjY3F4XCwbds2evbs6euQWrTDizez8Zn/Ed6rHaM/FltCzsRpLSDz58kgO4kdMw9dWLdzOl/6V2vY9tpiFFoVF3x6NyGJ0V6KVBAax751J5UffQUuF+peKRhuuxqpFbyJdxeX4jZX1vt4RVAgCmPjK8mOyqPkrrwdpyUP2e2ZQ20rDSX+ojkY2ohqmOBhtVpr3seHh4f7OpxWoaysjK1bt9KvX7+a9+WCb3ntFei5554jMTGxpkFTfaSlpXHZZZ7mOMOHD2f+/PnExYk9kYJ/Cw8PZ/LkyXz77bd88sknvPnmm74OqUWr6eTdRTQfO5uy9AUgO9GF9z7nRBog8aqh5P21n7x1+1n/+Fdc8NndKLWie6jgO5re3ZDuuh7z+/NxbNtF5fvzMdxxLVIL7morO5yUz3oXucJc78dIwYGEzHoE6Qwd+89EbYglZuT7HF15By5rPrJbQhtaStaSG4kd9R7BHbo26rxCy6LX69HpdJSUlIhk+jwRY7H8j9fWSz7zzDPMnz+/QY/R6XTo9XpkWWbVqlVceuml3gpHEJpUdSOy+fPnY7fbfRxNyyaaj9WP21FJxcFvAQjpdJ1XzilJEv2fvgKtKZDyA/mkvfOrV84rCOdC3b0zgf+4AdQqHDv2Yn7vM+SW/HNYpURhCq1z/nadJAmFMRTOcYygOjCO2FHvo9RHIilk3C4JTZCZ3FW3U7xr4zmdW2g5TCaTaMh6HlksFrRaLUqxxcVv+HTz4ciRIzGbzWzcuJGkpCQ2b97M+vXrfRmSINTL+PHjiY2NpaioiJ9++snX4bRYbqeLkn1HATB1Ecn0mVQc+gG3w4w6KIGAmOFeO68uLIj+T10OQMbX68hds9dr5xaExlJ3TSZw5gzQqHHuTsf8zjzkKtt5uba7uBRnZk69P9wlZed0vVM6nJ+NLKOfMt4rTQPVgW2JHfk+Sl04CqWM26VAbaiicPM9FGz645zPLzR/JpMJq9VaUzEVmpbo5O1//GKjUd++fXnqqae4/vrr2bx5M4MGDfJ1SIJwRiqVihtuuIGXXnqJuXPn1mxXELyr/FABbpsTlUFLYHyYr8PxW7LbSVn6lwCEJF+HJHn3PmnMsM4kXjWEjK/XsfG5bxj/1T3owoK8eg1BaCh1p44E3XMLFe98gnP/QSrenkvQzBlIel2TXdMXS67h7/nbrsycMyfVkoQyvg2qrkmNvtbJ1EHxxIx6n9yVd0BVEW6nEpXeTtm+R3FaHyd2+GSvXUtofkJDQ5EkiZKSErH0+DywWCyEhIjO+v7Eb9riRkd7GtuUlZ3bHVxBOF9mzJgBwG+//cbRo0d9HE3LVLL7+BLvzm2QFH7z48rvVGYvx2nJQ6k1EZhwUZNco8fMiYQkRmMrNrPx2f+JWb+CX1AltiPo3luQ9DpcB45Q/toHOPYdbLqqsY+WXNe7Ou3FqvSJNEHtiBn5PkptGAqVC7dTjVLjwpL9Alm/N2yLn9CyqFQqgoODxVLv80CWZVGZ9kN+UZkG+Omnn5AkSXSmE5qN5ORkhg0bxpo1a/jss8945JFHfB1Si1Oy93jzMbFf+rRkWaZ03+cABCdeiUKpbZLrKLVqBr5wFctufJe8dfvJWLCOpKuHNcm1BKEhVO3jCbz/Nire+Bh3Vi7m1z+s92MbWjWuTmrNb8+t3wXOMbmVZRm50oK7tBxZlpHCjMhFJacLzutV6RNpgtsTM2o2R1feAZTgdmpQqOzYS97i0I8VtJ98V5NcV/B/RqOR7Oxsz79RL9/IEf5ms9lwu91iBYCfaXAyXd14qS47duw449dP5na7MZvN7Nmzh717PfvwUlJSGhqSIPjMjBkzWLNmDZ988gkPP/yweBHxspLdnmTaJDp5n1bVsc3YS/ciKbUEd7y8Sa8VkhhNz3suZusrP5D29q9E9O1AaHJsk15TEOpDFd+GwPtvwzzrXajvqolGVo29seRadruRzRbcZeXIZRW4y8o9CXP178sqPH8uN4PLVb/AmqgqfSJNcAdiR87m6Mo7gVLcTh0KVRWybQ4ZC8pInC5uKrdGJpOJw4cPU15eLpYgN6HqfemiMu1fGjxnWqFQ1PmD+lzvRsmyTEJCAhkZGaJDnR8Sc6brVlFRQUxMDJWVlaxZs4ahQ4f6OqQWw+1w8v3IZ3DbnUxc9C8C48Se6brkrr4Ha95agjteQXifh5v8erIss/b+T8ldvZfgDpGM/exuVDpNk19XEOrDtioVyxff1/v4wH/ejDolucHXcezaX6/qtHbsUCRDgCdJLj2eJB9PoOud9ANSkAFFSBAEB+E+koNcaTn1mDAjIS8+dF5u6tpK08n9807c9jLczkAUKs8eckfVOJKufRGF2JbTqsiyzNq1a4mLi6Ndu3a+DqfFysnJISMjgxEjRojijR9p1DLv0+XfDczLa+nQoQP/+9//RCItNCtBQUFcccUVzJs3j7lz54pk2ovKDuTjtjtRB+kwtDH5Ohy/ZC87gDVvLSARknzNebmmJEn0f+pyfr/qLcoPFpD25i/0eWTqebm2IJyNZvgAqlasw300/8wHnmVJtCzLYLMjW6y4Ky3IFityza+ez0mBBmRz5RkvY1u+9owxSIGeJFkKDUYREoQiJBgpJAjFiX8ODkRS/f127XSJvFxUguXzbwm4ajKSpmlvcGlDk4gZ+R65K+8CynG7QlAoy1DrlrJvXgWdbnwThdJvdhIKTUySJIxGI8XFxSKZbkJWqxW9Xi8SaT/T4Mr0s88+e9rPJyYmcu2119b7XCqVCqPRSPfu3Rk6dKi4k+nHRGX69FavXs2IESMIDAwkNzdX7Pv3koPfb2Dzi98ROSCRke/d6utw/NKxjc9RcfhHAtqMJnrIq+f12nnr97P6bs8b+qGv3UDsyK7n9fqCcDr1rRqrB/RCYQg4KWG21iTODakc10URbkIRHVE7Ma5JlI8nyY0oIMiyTMW///v3MnNJQgoJQi4tB0DZJhrDHdeijIo4p/jrw1ayl9w/78LtqECWw5CkIgCqSrvR6cYPUGqapoeD4H+OHj3K/v37GTZsGCqVuJHSFNLS0pAkie7du/s6FOEEDU6mT0ehUDBhwgR++eUXb5xO8DMimT49WZZJTk4mIyODTz75hJtuusnXIbUIm1/8joPfb6DzTaPofvcEX4fjd5zWQjJ/mQRuB7Fj5qIL63HeY9j+xmL2f7EGTUgA47++F31E8HmPQRBOdkqyeS5USqQAPZIhAClAj+KE3xOgw75uM3JJWe3rHK96Bz36jyarIJ18wyDwnzeDUkHlx197xnZpNRhuuBxNv6b/uWAr3k3uqv/D7TCDFIXsKkBSyFQVdyT5hk9Q6cX+ztagqqqK9evXk5KSQkRE09/IaY1SU1MJDw+nY8eOvg5FOIG4dSQI50iSJGbMmMHjjz/O3LlzRTLtJcV7jnfyFs3H6lSesQDcDrRhPX2SSAN0+8cECjYeoHR/LhueXsiId28WI8wEn6tPx21lYnuUsZG1kmPJcELSXJ0wa9RnTIjVHRJOvc55aARW0wTtSDbKhDhUXZOQJIngJ/9J5Udf4Uw/ROVHX+JMP4T+8ovPacb12WhNXYke8S65f/4D2ZmPpI7DbTuKznSA/Z9dTdz4f1KePgdTz3sIiBrYZHEIvqXT6dDr9ZSUlIhkugm43W6qqqpEJ28/5LV3PStWrODll1/21ukEoVm54YYbUCgUrF69mvT0dF+H0+y5bA7KMvIAMRarLm6nhfID3wIQ2ul6n8Wh1KgYOOtqlFo1BRsy2P/FGp/FIggnqk42T5kHLUkoE+IIevB2DNdOQz9tArrxI9AO64+mdzfUyR1QxcWgMIYgaTVnTYhPuc7x8zfVeKq/n4aEftqFKKIj0U+7sCZORUgwgffdim7CKABsK/+i4j/v4yps2hnAOlM3Yka8i6QygCsblT4el12JzpRDwfrHsZftp2Tn++fUW0fwfyaTieLiYvF9bgJVVVXIsiw6efshryXTI0eOFGv4hVYrLi6OCy+8EIB58+b5NpgWoCwjD9npQhNqICA61Nfh+J2KQz/idpSjDownIHa4T2MJbhdJrwcuAWDHf5fUzAYXBF+qrk6fsszby1XjU65zHqrS1dRdkgh59n7UXWon7pJSiX7aBALvvgkpQI/rcDYVL76DPW1Pk8ajC+tOzPC3kVQBuB2H0QR3wGVXolA5UWhCsBXvwJq/vkljEHzLZDJRVVVVM8JJ8B6LxdPBX1Sm/Y/P1uPZbDZfXVoQmsSMGTMA+PTTT3HVdy6oUKeS40u8TV3biK6VJ5HdTsr2fwlASPI1SJLvJyC0nzaANqNTkJ0uUh//GqfV7uuQBOG8VY1rrgPnpSpdX+runQl64p8o27dFtlip/O+nWL79FbkJX5904T09CbVSj6sqHaVOC5IKt70MFGqObX5TVC1bsNDQUCRJoqSkxNehtDhWqxWlUommiTv1Cw3n1WT6scce4/7776/5eO+990577Lx582jXrh2zZs3CbDZ7MwxB8InJkydjMpnIyclh6dKlvg6nWSvenQ2AsYtY4n2yypwVOC1HUWhCCUy4xNfhAJ7qXN/HL0UXEUzFkWNse32xr0MShPNWNT7dkmt/oAwzEvTgHWjHeMY22n7/E/PrH+EuKWuya+rCexE9/E1QqMFtIbzf46gMceB24LIcIH/9J012bcG3lEolISEhFBc37baC1shisYixWH7Ka8n0r7/+yksvvcRbb71V8/HNN9+c8TGZmZk8+eST9OzZk7S0NG+F0urIssybb75Z859MNMDyDa1Wy3XXXQfA3LlnH8sinF7JnupkWjQfO5Esy5Tt+xyA4MQrUKh0Po7ob9pQAwOfuxIkiUPfbyD7j52+DkkQzlvV+HRLrv2BpFIRMH0ShtuvBZ0WZ8Zhyl98G8eepuvvoQvvgzqwLRpjV4ISLiF29MeoQxIBqMycTd4GccO5pTIajZSWluI+x9FyQm1Wq1Xsl/ZTXkumP/nEc6dRlmWioqK4//77eeaZZ057/PDhw7nxxhvR6/UcOnSICy64gOzsbG+F02pkZmYyduxY7rvvPqqqqnwdTqtXvdT7hx9+oKioyMfRNE/OKjvlBwsAMInmY7VUFW7FVrIbSaElpOMVvg7nFJH9E+l0wwgANr3wLZb8pqt+CUJ9+HPV+HzT9O1O8OMzUcbFIFdUYn5rLtafliE3QdJjzV+Po/wgpm53IUkSKn04saM+QB3UDkkhYz7wOEf//N7r1xV8z2Qy4XK5KC8v93UoLUp1ZVrwP15Jpp1OJ0uWLEGSJK655hoyMjJ49dVXGTFixGkf07VrVz755BPS09MZPnw4hYWF3H///d4Ip9X49NNP6d69OytWrPB1KMJxvXr1onfv3tjtdr788ktfh9Msle3PRXa50YUFoRNzi2uprkoHtrsYpc7k42jq1u3OcRi7tMFRbmXD0wuQXaI6IfiWP1eNzzdlZDhBD/8fmmEDQJapWrwM89uf4C733nY7WZYp2fUhWlN39FGD/r62JoTYsZ8hqQwoVG4sR2eR+dunXruu4B8CAwNRq9Vi37QXuVwu7Ha7qEz7Ka8k0zt27KCiooIuXbrw6aefNuibHRMTw88//0zbtm1ZtGgRBQUF3gipRTt27BjTpk3jpptuory8nNtvv53+/fv7OizhuOrqtFjq3Tg1+6VF87Fa7OWHseSuBiRCkq/1dTinpVCrGPjCVSj1Go5tOsi+z1f5OiRBEE4gadQYrr+UgBlXgkaNc0865S++jTPjsFfOb81fj614B8aU20/5Ga5UBxA58HkAFCoZR9k7HFr0rleuK/gHSZIwGo1i37QXiU7e/s1ryTTALbfcglLZ8M6ygYGB3HHHHbhcLtasEXNKz2by5MksWrSImJgYfvnlFz744ANxt8qPXHPNNWg0GrZt28bWrVt9HU6zU93JWzQfq61s/xcABMSORBOU4ONoziwoIYLeD04CYOfs3yneleXjiARBOJl2UB+CH70bRUwkcmk5Fa99SNWSP8+p2/bpqtInCogZjjq0C7IsISlAdswj4+sXG31Nwf8YjUYqKipwOBy+DqVFqB41JpJp/+SVZLqwsBBJkujRo0ejzzFgwABkWebIkSPeCKlFs1qtTJ8+nZ07dzJx4kRfhyOcJCwsjKlTpwJ/9xIQ6q+6+ZjYL/03Z1UR5iM/AxDa6TofR1M/7Sb3I+6C7sguN6lPfI3TIsYhCoK/UcZGEfzIP9AM6AVuN9bvfqXyvc9wV1oadb4zVaWrSZJEWPf/Q5LkmkbrCuX37PvsYdG0qoUwmTzbkMRSb++wWCyo1WrUarWvQxHq4JVk2m73zBQ9l29y9dy06nMJp/fee+/x9ddf1/ywEvxP9VLvL774QsxUbwCnxUb5oWMAGDuLTt7VyjP+h+y2ozV1RxvW09fh1IskSfR9bBr6qBDMWUVsffVHX4ckCEIdJJ2WgJunE3DtNFApcaTtoeLFd3AebtiKkuqqtMoQh1Ibiq1k72k/lNpQVIbaW3nU+uXs++Ru3C6nt5+icJ5ptVoCAgJEMu0lopO3f1N54yQREREAZGRknLHp2JkcOHAASZIIDw/3Rkgt2pAhQ3wdgnAW48aNo02bNuTk5PDjjz9yxRX+13nZH5XsO+qZBRsVgi48yNfh+AW300r5gf8BENLpuma1j1wTHMDA56ez8o6POPzTZqKHdKLtuMavYBIEoWlIkoR2xECU7eKo/OAL3IXFVLz6PvrLL0E7alD9fu64HTitBbis+eQsu75e11VoQnA7LCB7lgNrgzewd84tdLrpQ5Qa7bk8JcHHTCYTx44dQ5blZvW65Y8sFgsGg8HXYQin4ZVkumvXrsiyzKeffsrNN9/cqHPMmzcPgC5dungjJEHwKaVSyU033cSLL77I3LlzRTJdTyW7xXzpk1Uc/gm3vQyVoQ2GNqN8HU6DRfTpQJcZo9gzdwWbX/wOU7e2GGKMvg5LEIQ6qOLbEPT4TCyffoNj2y6sX/+AM+MQhusvQ9KdObmVlBrajJmDy1Za7+sptUZc9nIK1j+Ko+Iwsgw64y72fXIdydd/giog8ByfkeArJpOJ7OxsUVU9R7IsY7VaawqXgv/xyjLvgQMHYjKZWLNmDY8//niDH//UU0+xevVqTCYTgwcP9kZIguBzN910EwBLliwRM9Trqbr5mEk0HwNAll01jcdCkq9Fkhre4NEfdL39Akzd2uIwV7HhKTEuSxD8mSJAj+HO69BfcTEoFDg2pVE+6x1cOXm4i0txZuac9oNCF8qKoJoPNTFojZ1P+6EKiEIbmkSbCz4nsN0kqguYOtMh0r+Yjq1MdIRurkJCQpAkSXT1PkcOhwOn0ymaj/kxr1SmFQoF999/P0888QQvvfQSa9as4eGHH2bs2LFotXXfybTb7SxfvpxXX32VP//8E0mSuO+++8RSED9QWVlZr88JZ5aYmMiIESNYtWoVn332GY899pivQ/J7f4/FEsk0QGXOSpyVOSg0IQS1m+TrcBpNoVIy8IWrWHrNWxRuPcyeT1bQ9daxvg5LEITTkCQJ3QXDUbWPx/zRl7jzCymf9S6olFBV/z4gUnAgIbMeQVKf+e2mQqUnsv/T6CP7cWzDC4ADbWg+h767nPiL5xMQGXuOz0g435RKJaGhoRQXFxMXJ17TG0t08vZ/XqlMA9x33310794dWZZZs2YNkyZNwmg00rNnTyZPnszVV1/NNddcw+TJk+nVqxehoaFccskl/PmnZwxD9+7duf/++70VjnAOAgMDT/mIiorydVjNUvW2h7lz557TuJHWwGGuwpxZCIhl3uBZ2lW273MAgjtejkLVvF9IA+PC6PPwVAB2f7ScojQxuUEQ/J2qYwLBT/wTVUoyOJ0NSqSRJBTGUE8CXk9BCRcTN+ErJE0MAJrAcrJ/v5yKI/saGLngD4xGI6WlpaJL+zkQybT/81oyrdfr+fnnn+nYsWNN0lBVVcXOnTv5+eefWbhwIQsWLODnn39mx44dVFVVIcsysiyTmJjIL7/8gk6n81Y4guAXLr/8cgIDAzlw4ACrV6/2dTh+rWSvZ4l3QKwRbahotGEr2o6teCeSQkNw4pW+Dscr4i/qTdsLe3rGZT25AIe5ytchCYJwFopAA4F334RuyviGPVCW0U8Z3+AVh5qgdiRc8g0ao6ehrUprJ/+v6yne9UfDri/4nMlkwu12U1ZW5utQmi2LxYJWq0WpbJ7bvFoDryXTAHFxcWzZsoUbbrgBhcJz6rqqcdWfUyqVzJgxgy1bthAbK5bw+Auz2XzKR35+vq/DapYMBgPTp08HxMzps6luPib2S3uU7psPQGDCxah0YT6OxjskSaLvo9MIiDVSmVPMlpd/8HVIgiDUg6RQoL9oDIb7bgVFPd46ShLKhDhUXZMadT2FUkvcBa8T1PGfyDIolG5Kdj1E7trZjTqf4BsGgwG1Wi1GZJ0D0cDN/3k1mQYICgpi3rx57N+/n2eeeYbRo0cTExODVqtFq9USGxvLmDFjePbZZ0lPT2fOnDkEBopujf7EYDDU+SE0TvXM6YULF1JRUeHjaPxX8fHmY2KJN9grjmA5+ifgaTzWkqgDdQx8bjooJDJ/3cqRX7f6OiRBEOpJ0zmRgBn1WCnTyKr0ySL63EBEv9m4nUokCaxH55D56z9wuxqw3FzwGUmSMJlMognZObBYLGKJt5/zejJdrX379jz11FMsX76c7OxsLBYLFouFrKwsli1bxpNPPkm7du2a6vKC4DeGDBlCcnIyFouFhQsX+jocv1Uimo/VKNv/JSATEDMcTXA7X4fjdeG92tU0INvy0iIqc8QbLUFoLjT9e6JMOMNNz3OsSp8suEN/2oxbhLPKU51zmlM58sM07BWi70JzYDQaMZvN2O12X4fS7FSPxRKVaf/WZMm0IAgekiTVNCITS73rZi+z1CRUxs6te8uHq6oY8+HFAIR0ut7H0TSdLjePJqxnAs5KG6lPfo3b6fJ1SIIg1IMkSeinXHj6A7xUlT6RPjyGdlN/wl7hmbUruwrI/m06FUd+8do1hKZhNBoBxFLvRrDZbLjdblGZ9nMimRaE8+D6669HoVCwdu1a9u0TXUlPVj1fOrBtGJrg1n0HtuzA/5DdNrTGrujCe/s6nCajUCkZ+Px0VAYtRWmZ7JkjmgsJQnOh6pqEMiEO6kiYlXExXqtKn0gTFELStd9RVdr++GecHNvwFAUbn8XttHr9eoJ3aLVaDAaDSKYbobqTt6hM+7cmTaaPHTvG4sWLmT17Nv/+979rfS0vL68pLy0IfiU2NpaJEycCMG/ePN8G44eK9xxf4t3Km4+5nVWUZ/wP8FSlvVnZ8UeGWBN9H50GwO45f1C47bBvAxIEoV481enxUEeTWXd5Be7i0ia5rlKrp/OML6kq7VHzOfPhn8hZdgP2sowmuaZw7qr3TYsRoQ1jsVg8M9/FtCO/1iTJ9FdffcWgQYOIjo5mypQp3H333TzxxBO1jvnXv/5FfHw8r732mthHIbQK1Uu9P/30U5xOp4+j8S9/75du3c3HzEcW47aXogqIxdBmtK/DOS/iJ/Qi4eI+4JZJfeJr7BWiwiQIzcEp1WlJAqUSudyM+bUPcBU2TS8EhUpN51s+xm4eWvM5R8UhspfeQPnB705J2Cz5qWT/fg2W/NQmiUc4O6PRiN1ux2Kx+DqUZsVqtaLX61v8jfXmzqvJdFlZGRdddBHXXXcdGzdurPmBdro7UdnZ2Tz00EMMGDCAI0dEIwmhZbvkkksIDw8nNzeXJUuW+Docv1K9zLs1j8WSZdfxxmMQknwNkkLl44jOn94PTcHQxoQlr5Qts74X1QtBaAZOqU7LMgE3Xo4iKhx3USkV//kAV0Fhk1xboVDQecZbOO0X/f1J2U7h5lkUrH8Mt8N8PCSZkp3vYy/bT8nO98XPFh8JDQ1FoVCIrt4NJDp5Nw9eS6YdDgeTJ09myZIlyLJ81kT63nvv5bbbbkOn05GWlsa4cePE2CChRdNoNFx33XWAaER2oqpiM5a8UpAkQju13uZjlqOrcZgzUaiDCWo/2dfhnFdqg5aBL16FpFSQtTSNIz9v8XVIgiDUQ011GlAmxKEZ0IugB25HEROJXFLmSajzCprs+snXPofM9BPzeSqzl5K99Fpsxbux5q/HVryDkKRrsBXvwJq/vsliEU5PoVAQGhoqkukGEp28mwevJdPvvPMOq1evRpZlEhISePrpp1myZAk7duxgxIgRpxzft29fPvjgA9LS0ujWrRsHDhzg6aef9lY4guCXqpd6//jjjxw7dszH0fiH6qp0UEI46sDWuy+odN/nAAR3vAyFqvW9eIZ1iyfl9gsA2PrKD5izmqaiJQiC90iShH7ahSiiI9FPuxBJklCEBBN0/+0o20Qjl1VQ8dqHuI7mN1kMHa/4F0r9bcguCUkCt0uJszKHnOUzKNz8b7Sm7ph63ofW1J2SXR+K6rSPGI1GysrKcLnE5Ib6cLvdNcu8Bf/mlWRalmVeeeUVJElixowZ7N27l6effppx48aRkpJyxn8IHTt2ZMmSJYSGhjJnzhyqqqq8EZIg+KXu3bvTt29fHA4HX3zxha/D8QslovkYVUVp2Iq2g0JNcOJ0X4fjM51vGkV4n/Y4LXbWPy7GZQlCc6DukkTIs/ej7vJ3B29FcCCB99+Gsm0McrmZitc+xJl1tMliaDfpDrTh9+N2KlAoXbjsWsCF03IUY8rtSJKEMeV2UZ32IZPJhNvtpqyszNehNAvV+ZCoTPs/ryTTW7ZsoaCggF69ejFnzhy0Wm2DHh8TE8Mtt9yC2Wxm/XrxQ05o2aqr03PnzhV3yPm7+ZipFTcfK9s3H4Cg+Imo9OE+jsZ3JKWCgc9NRx2ko2R3Nrs+WObrkARBaCRFoIHA+25DmRCHbK7E/MbHODNzmux6cRdcjSHhGVw2FUqNDdmtQB2SjD5qEAD6qEGiOu1DAQEBaDQaMSKrnqqbtYnKtP/zSjKdlpYGwG233dboc4wcORJZltm9e7c3QmrR8vPzmTBhQq2P6u8BwNKlS0/5en5+0y2xEhrm6quvRqvVsmPHDrZsEXtDi48v826tlWmHOYvKnBUAhCRf6+NofC8gOpR+j18GwN55KynYdMDHEQmC0FgKQwBB992Ksn08cqUF8xsf4TyU1WTXixlyEaEpr+CyqZAUbtz2MlxWz55tUZ32LUmSakZkCWdntVpRKpVoNBpfhyKchVeS6cLCQiRJonPnzo0+R0hICIBY/lEPVquVJUuW1Po48U7f0aNHT/l69eB3wfeMRiPTpnlm686dO9fH0fiW9Vg5VcfKQSERmhzj63B8wtPBW0YfPRRNSEdfh+MX4i7oTrvJ/UCW2fD0QuxlYpyKIDRXkl5H0D03o0psh2ypouLNj3EeaLoJLuG9hqMxtgVJjcuaz9EVt+KoyASOV6eNKaKzt48YjUYqKyux2Wy+DsXvVXfyFmOx/J9XkmmVyjPC5Vxm51ZXTg0GgzdCatHatWtX0zG9vh/t2rXzddjCCaqXen/55Zetuk9A9X7p4HaRqAIatj2kJXDZSqk4/CMAoZ2u93E0/qX3g5MIjA/Hml/GphdPnR0rCELzIel1BM6cgSq5A1TZqHhrDo79B5vkWtb89bgsh4jo9wTqwHicllyOrrgNW+l+T3W6253YSnZRcejHJrm+cHpGoxFALPWuB9HJu/nwSjIdHR2NLMukpqY2+hy//fYbkiQRE9M6q1NC6zJmzBjatm1LaWkpixYt8nU4PlPdydvYSvdLlx/4BtllQxPaGV1EX1+H41dUAVoGvuAZl5Xzx04O/7DJ1yEJgnAOJJ2WwJk3oeqSCDY75nc+wbE3w6vXkGWZkl0fojV1JzDhImJHf4wmNBmXrYjclbdTVbgNfdQgNMauFG55CXP2Cq9eXzgzjUZDYGCgSKbrQcyYbj68kkwPGzYMgLfffpvCwoaPM9m6dSufffYZkiQxcuRIb4QkCH5NqVRy0003Aa17qXdxdfOxVrhf2u2yUZaxAPBUpcVSrlOZusbR7f8uBGDrf36k4rAYJycIzZmk0RD4jxtRdesEdgfmd+fh2L3fa+evnitd3cFbqTMRO+pDdOG9cDvM5K76B9b89Zi63QWyg4K//kVR2tvI7savrBQapnrftFhtdHoulwu73S4q082EV5Lptm3bMmjQIAoLCxk1ahTbt2+v92N/+OEHxo0bh9PpZPTo0URGRnojJEHwe9XJ9LJly8jMzPRtMD4gy/IJlenWl0ybj/yC21aCKiAaQ9xYX4fjtzpdP5zI/h1xVTlY/8TXuB3iTa8gNGeSWk3gndej7tEFHE7M//0Ux46953ze6qq0yhCHUhuKrWQvtpK9OMzZGLvPRBvWE9llI2/NvdhL96EytAFJQdm+z8hd9X84q8Rs+/PBaDTicDiorKz0dSh+S3Tybl68kkwDvPzyywDs2bOHvn37Mn78eN5++21WrVpV8x8mPT2dLVu2sGjRIp5++ml69uzJpZdeSnFxMQqFglmzZnkrHEHwex06dGDUqFHIssynn37q63DOO2t+GbZiM5JSQWhS69reIctuyvZ7xmGFJF2DpFD5OCL/JSkUDHj2SjQhAZTuzWHne7/7OiRBEM6RpFZhuONa1L1TwOnCPPtz7Nt2ndtJ3Q6c1gKcldnkLLuenGXX1XzkrrgFW9HxQo/sonjHuzgrc1BoQkCpp+rYFnKWXkdV4bZzfm7CmYWEhKBQKERX7zOobhoskunmQZK9uM7i5Zdf5tFHH61zuaIsy6f9PMAbb7zBPffc461QBC+rrKwkMDAQALPZLBrFecnnn3/ODTfcQIcOHUhPT0eh8Nr9Lb+Xs2In6/41n5DkGMZ/2br+71ceXUX+2vtRqAOJv/hnFGrx/+lsclbuYt2DnwMw4r+3EDUwyccRCYJwrmSXi8q5C3BsSgOFAsOtV6Pp273R53Na8nDZSk/7dbfTyZGf/o0maB8ALsdYEibdRf66h3CUHwRJianHPz03OcXWmyazY8cOXC4XvXr18nUofunw4cPk5OQwdOhQX4ci1INX37k//PDDvPXWW2g0mpokufpXSZJqdZeu/ppOp+O9994TibTQKl122WUEBQVx8OBBVq1a5etwzqvi3Z4l3qYura/5WNk+T1IY1OEykUjXU5tRKXS4dCAAG55eiK1ULBEUhOZOUiox3DwdzYBe4HZT+fFX2Ddsa/T5VAHRaI2dT/uhj+hG8k2fY68cAYBSvZyD375NzOi5BMZP8FStt79BwfpHcDvMtc5tyU8l+/drsOQ3vtmu4GE0GikrK8Plcvk6FL8kOnk3L14vg82cOZNt27Zx4403otV6Rt2cmEBX02q1zJgxg+3bt3PnnXd6OwxBaBYCAgK46qqrgNbXiKx6LJaxlTUfqyraSVXhVpBUhCRN93U4zUrP+y8mqF0EVYUVbHr+W9HARhBaAEmpJGDGlWgG9/Uk1HMXYPtrc5NdT6FQ0Pmm13HaLwZAY1hF+mf3E9b3acJ6PwySisrs5eQsvxF72QHg+H7sne9jL9svZlR7gclkQpZlSktLfR2KXxKdvJsXry7zPpndbic1NZV9+/bV7I0ICwujU6dODBgwAI1G01SXFrxMLPNuOuvXr2fw4MHo9Xry8vIIDg72dUhNTpZlfrzgeexlFsZ+djemVtSALP+vR6jMXkZgwiVEDnjG1+E0OyV7c/hjxnu4HS76PDKVjpcP8nVIgiB4gex2Y/liEfY1G0CSCLjuUrTD+jfpNQ9++zqy60skCapKOtPppjk4KtLJ/+thXNZ8JKWOiH5PoNCEkLd6JiFJ11CW/iXRw98hIHpwk8bWksmyzPr164mIiCAxMdHX4fgVWZZZu3Yt8fHxxMfH+zocoR6aNJkWWg6RTDcdWZbp2rUre/fu5cMPP+S2227zdUhNrjKnmF+mvIKkUjJt1bMoNa2jAZfDnE3Wr5cCbuLGf40mRLyJaIz981ez/c2fUWrVXPD53QR3iPJ1SIIgeIHsdmNd8BO2lX8BEHDNVLQjG3bDzJJXSv6GDJwWG6oALVEDEgmIDj3t8Ud+/hhHxQcolDJVxQkkXvsJSrWLgtQnsB5f0q3UhaMKiCF2zFyO/nEzALFj5op91edg3759lJWVMWDAAF+H4lfsdjvr1q0jJSWFiIgIX4cj1INXlnkXFxczZsyYWh8rV670xqkFocWTJImbb/a8OLeWpd7Fx5d4hyZFt5pEGqAs/SvAjT5qsEikz0HSNUOJGpSEy+YZl+WyO7HklXLox02kf72WQz9uwpJX6uswBUFoIEmhQH/VZLRjPY2XLF8uouqPtfV6bPHOLNbe/yk/T36ZTc99w453fmPTc9/w8+SXWfvAZxTvyqrzcQkX34o+8l+4HQp0piNkfHkNTouL6OFvE9rlVgBcVYU1s6uNKbdjK96BNX+9d550K2U0GrFYLNhsNl+H4leqO3mLPdPNh1fexW7ZsoWVK1fWNBkDxD5oQWiA66+/nkcffZT169ezZ88eunTp4uuQmlTJ8eZjrWm/tMteRsWhHwAI7XS9j6Np3iSFgv7PXMHvV71F2f5cllz5OpVHS8Ato9SqcdkcoJCIHd6FLjePxpTS1tchC4JQT5Ikob/iElCqsP3+J9YFP4HLhW7ciNM+JvuPnaQ+/hWBbcPp8/BU4if0Qm3Q4qi0kfnbNjIWrGPFre8z8MWriRvT7ZTHtxlzJXl/BVFx4Fl0xjwOfnMNCZPnYky5g8rsZShUAeijPBVyfdQgtKbulOz6EH3UIFGdbiSj0Qh4CnIxMa1rPOaZVM+Y1ul0Po5EqC+vVKYzMjJqfj9x4kRWrFjBRRdd5I1TC0KrEB0dXfN/5pNPPvFxNE2vpvlY19bTybv8wLfIrio0ocnoIpt2H2BroA8PpsO0/iBJKJRK+jw8lal/Psula59n6p/P0ufhqZizilhx6/tk/7HT1+EKgtAAkiShv3QCuovGAGD95hesv66o89jinVmkPv4VsaNSGPfFTDpeNhC1wdMAV23Q0vGygYz7Yiaxo1JIffyr01aoowdPxNjtPzgtWrShxWQuvp7itG9wVBzG2O2umqRZVKe9Q61WExQURElJia9D8StWqxWdTodSqfR1KEI9eSWZru7G16ZNG77//ntGjhxZs79WEIT6qV7q/dlnn+FwOHwcTdOR3W5K9lSPxWodlWnZZac8fQEAIcnXi0qGFxTvzGL//NXEje3G+K/vafQbaEEQ/JMkSeinjEc3eRwAVYuWYP1p2SmdtPd8soLAtuEMfO5KFOq6F1wq1CoGPnclgW3D2fNJ3Uk5QHivYUQMfBeHOQBNcAUle15FHZJUU5Wupo8ahNaYQsnO2aKz9zkwmUwUFxeLv8MTiE7ezY9XkumwsDAAevfuLTp0C0IjXXzxxURGRpKfn89vv/3m63CajDm7GIe5CoVGRXDH1tE4qiLzV1y2IpT6KALbjvN1OC1CzRvo56ef8xtoQRD8l/7iseinTQCgavEyqn74vSb5suSVcnT1HhKnDzntz4FqCrWKxCsHc3TVnjP2VDB27k3smI9xVAagULpxWXKxl+6rdYwkSRi73YmtZHfN9h2h4YxGI06nE7PZfPaDWwkxY7r58UoynZycDEBVVVWjz3Hs2DEyMzO9EY4gNDvPPPMML730Etdddx1w5kZkzz//PM8888x5isz7qqvSockxKFQtfxmTLLsp2zcfgJCkq5EUrafhWlNpijfQgiD4L92EUegv98yFrvp1BdbvfkWWZfI3ZIBbJn5Cr3qdJ35ib3DLFGzMOONxgfFJ6KPjkJQ63A4zR1fegfXY1lrH6KMGoTF2pXDLy5iz/2jU82rtgoODUSqVNeNzWztZlrFaraIy3cx4JZkeMWIE8fHxpKamNror3w033ECHDh28EY4gNDtKpZKnnnqq5v/P4sWLKSgoOOW4559/nqeeeqpZ76Wp2S/dSpZ4W/PW4ag4hKQyENxhqq/DaRGa6g20IAje5c0u+7pxw9FfNRkA2++rKHzjMzJ/3YpCo6rZ4nE2aoMWhVaFo/LM71Wt+etxVuwnYsBz6ML7IDsryVt9N5bcNTXHSJKEqdtdIDso+Oshine8iyy7Gv38WiOFQkFoaKjYN32czWbD7XaLZLqZ8UqJRJIkXn/9da644gqeeOIJXn311UadR+yZEFqrJ598EoCnnnqKNm3akJOTw/z587n//vtrjqlOpJ977rma45ujkt2eZNrUSpqPle77HIDgDpeiUIteEt7gtNhQatVefwMtCIJ3FO/MYs/cPzi6Zu85d9mX3W4qDh+jcPsRitJyUFQY6BBUiWrfHowFUGAHR6WtXj8PHJU23DYnSt3ptyTKskzJrg9RGeJQG2Iwdb+boh1vYyvcRt7aBzCm3EVAtGcPtVIbisrQBqcll9K987CV7CFy4IsotaH1em6CZ990RkYGTqcTlap1r9yq7uQtlnk3L177V3vppZfy3nvvcd9991FWVsYLL7xAZGSkt04vCC3eiQk1eJZ633fffUiS1GISadntpmRv6xmLZSveTdWxzSApCUma7utwWgxVgBaXzdHgN9D1Tb4FQWi8cx1T5bTYKN6VdTx5zqRoxxEcFbW3EVaFQZcEaBsJCgVk/rqVjpcPOuVcJ8v81bNUe/dHy3A7nLSf1A+lTl37ILcDp7UAlzWfnGUnjTGUXZTsfJeSne/W+rRCa8TtsGDNTyVn2XVEDXkVrbFlj7j0FpPJhCzLlJaWEh4e7utwfMpqtSJJkhiL1cx4LZl+7rnnAJgyZQoff/wx8+bNY/DgwXTv3h2j0YharT7j408cryUIrdWTTz5JVVUVs2bNYteuXWzatInffvutRSTSABWZhTgtdpQ6NUHtInwdTpMr3e/ZKx0YfyGqgGgfR9NyRA1IBIVE5m/b6HjZwLMen/nrVpAkIvsnnofoBKH1OnFM1cndtau77Lef3JfUpxaS+vhX6D+6A50pkKK0zOPJ8xFK03PBXXulolKnxtStLeE9EgjrkUBY93jkPfuwzFtIm3CZY4t/wzWpD0rt6SvOboeT9AXrUGhUWPPL2PryD+z+cBlJVw2l4xWD0AR7qoGSUkObMXNw2Uopy8jj0I8bObb1MMhuogdlYuqcD0DJ/mTaXng7IR2jUWqNuB0V5K37F05zFkf/uIWwPg8T3H6K9/+SWxidTodOp6OkpEQk08f3S4uJH82LJHtpbbVCoaj55lefsiH/GGRZRpIkXC6x38QfVVZW1ow7M5vNGAwGH0fUsvXo0YMdO3agUChwu90tIpEGOPLLVjY8tYCwngmMmXOXr8NpUo7Ko2T9Og1kF23GfYk2NNnXIbUoax/4DHNWEeO+mHnGJmRuh5Pfr3qLisxjtB3Xk97/moTWKJbbC0JTaND/y6vfojK3BLfNecrXA2JCCeuR4EmeeyYQkhhdZ8NK+8btmOd8jSTLlGlCafvqfSh1p65AcTucpD65gKN/7mbEe7dStj+XffNXYcktBUAVoKHDpQNJvmYY+sgQoHaFPXH6EOIn9EKpV7Nv3gNog1YDkJfajrgJTxF/QQ8AXPYKjm14Ckuu5+tBHS4lvNeDSEox6eZM9u/fT0lJCQMHnv3maEuWlpaGJEl0797d16EIDeDVZPpciWTaf4lk+vzasGFDzYuKWq3Gbrf7OCLv2PbaT6R/tZakq4fS64FJvg6nSRVue43y9K/QRw0kZsR/fR1Oi1O8K4sVt75fZwWsWvUb6JwVu5DdbpBBExJArwcnET+hl7j7LwheZMkr5efJL9Pn4an1WjFy4Jv1bHlpESgkTF3iCOsRT1jPBMK6JxAQFVLv69q37MD84ZdIskyRXYs08ULiL+7799LyX7eSsfAvzFmFDJp1NW1Ge5aWu50uspamse/TPynLyANAUilJuKg3UYOT2PjUwtP+fEn/8lmU6p8AOLa9DR2vfIPwHp4murLspnTPXEp2fQDIaE3diBr8MqqA1jEKsjGOHTvGrl27GDRoUKte4pyamkp4eDgdO3b0dShCA3g1mW7fvj0jRoxo1OOXLl1Kbm6uSKb9lEimz6/qPdLVHn/8cV544QUfRuQdf9wym6LtRxjw3HQSLurt63CajMteTubii5FdVqKHv1vTrEbwrlqVoysHEz+x92nfQOujQtn0/DeUpXveNEcP7UTfR6cREB3q2ychCC3EoR83sem5b5j657P17mWwaOTT9H1sGh0uPbeKpH37bszvz0dyuykohR0HQdKoPFVvhUTsiC50mVF30zNZlslbt5+9n66kcMshzycliaCEcMZ/dc9pK+wHv3sT2TEfSQFlB9vQ496vUWr/7sJsyV1LQeqTuB3lKLRGogb9G31kv3N6ni2V0+lk7dq1JCUlERsb6+twfMLtdrNq1SqSk5Nb7d9Bc+XVZPqqq67iyy+/bNTjJ06cyO+//y6SaT8lkunzpzqRfuKJJ5g/fz6HDx8GaPZLvd1OF4tGPYOrysGF39xPcLuW26CwdO88ine8iyYkkTbjvhIV0CZUvCuLPXNXcHT1HnDLKLSnfwPtdrrY9+mf7P54OW6HC5VBS4+ZE+lw6QAkL6yuEoTWyFFpo2BjBvs+X0XJnhwuW1f/G7/fDn2CHjMnknTV0HOPY8dezO/PB6cTR1gE5vhkVIE6TF3bogsPOuNjFUGBKIwhFKUdYecHyyhITafPo9POWmHP/GUu9vLZKJQy1sK2JF3/KZrA4L9jMmeT/9dD2Ev3g6TE1H0mIcnXiteEOmzZsgWtVktKSoqvQ/EJi8XChg0b6NWrF6Ghob4OR2iA1t2DXhD8zMldu0eMGMH48eOBv7t8N9eEuuLwMVxVDlQBGoLiW26TEdllpyz9awBCkq8Tb5qamCmlLUNfuwFLXikFGzNqOnxH9k88peqsUCnpcssY2ozpxqbnv6EoLZMtLy0ic8k2+j1xGUEJLb8pniCcK1mWKT+QT+7afeT9tY/CbUeQnX8XQnzVZV/dvTOB/7gR83/noS46hrHomOc6q8FxlsdKwYGEzHqEsB4JxF/Yk4LU9HrNsY+/6GYylwRgK3wdfXgWGV9eTYfLP0Fn8twsVgfGETt6LoVbZmE+8gvFaW9iK95FRP8nUajE+KMTmUwmsrOza3ootTbVY7HEjOnmx2u34u+55x4mTpzY6Mc/8MADzJ0711vhCEKzU9f4q3HjxnHzzTcDEBYWxlNPPcXzzz/vyzAbrWSPZ760sXObFl0FNGctwVVViFIXQWD8hb4Op9UIiA6l3aR+JF01lHaT+p1x+XZw+0hGf3QnvR6chFKvoXDrYX6/+i32zluJ2ylWRwnCyewVVrKX7WDT89/w88X/5ver3mTHO79ybNNBZKcLQ1wYCRf3AcnTZb8+Mn/dCgrvdtlXd03CMHMGNCQXkyQUxlA43uCsoXPs4y+8ioxv++GsUqEz5nPo22upzD1S83WFSkdE/2cJ6/0QSEoqs5eSs/wm7BVHznDW1sdoNOJ0OqmoqPB1KD5htVpRKpVoNKJZXXPjtcr0fffdB0BmZiYAERERDbq7csEFF3grFEFods40R/o///kPv/zyC3l5eQwfPrzZVqiLdx+fL9215c6XlmWZ0n2fAxCSdBWS4swjAQXfkZQKkq4aSuyILmye9T3569PZ8e5vZC3bQf8nLyO0k9izJrResttN6f5c8tbuI++v/RTtyER2uWu+rtSqiejXgejBycQM7URgW89qI4e5iowF62g/ue9Zu3lnLPyL2BFdvN63QNM5EdelF1H17S/1e4Aso58yvqYa2pg59ubMYFyOfyC730cbWkLWLzcRO2Y2we07A54GuyGJV6INTSb/r0dwlB8kZ9kNRA54FkObUY19qi1KcHAwKpWK4uJigoODz/6AFsZisYixWM2UV8pD6enptG/fvtbHTz/95I1TC0Kr4HK5Trsn2mg0Mnv2bADWrVvHnXfe2Sx7C9RUpru03GTamv8XjvKDSKoAgjpc6utwhHowxJoY/s7N9H/mCtTBekr35rDshnfZ8d8luGxnWxwqCC2HrbSSzN+2seHphfw0cRbLrnuHnbN/p3DbYWSXm6B2ESRdM4zh797MlD+eYvhbM0i6amhNIg3Q5ebRmLMKSX1qIW7HqSOv4O8u++asQrrMGN0kz0U3bjiK6Hps25AklAlxqLom1XzqxDn29VFdYU+4aBKRg9/Dbg5AE1xB7p+3Ubxnc+24wnvRZtx8dOG9kJ2V5K97kOId/0WWm99rurdJkkRoaCglJSW+DsUnrFYrAQFi6X9z5JXK9LZt2zixj1lCQkKrH7wuCA3xzDPPnPHrU6dO5YorruB///sf69evZ8OGDecnMC9xO12U7s8FwNS1jY+jaTpl++YDENxhGkrNmRveCP5DkiTaXdKX6EHJbH31R7KX72DvJyvI+WMn/Z68jPBe7XwdoiB4nexyU7wnm7x1+8lbt4/iXdlwwns5VYCGyP6JRA9OJnpIMoZY01nPaUppy8AXryb18a9Yeu07Z+2yX1d3bW+QJImAKydhfvss2wdPqkqDZ8tI7PAu9a6wp3+1lsC4MDShAQRE90Stn0vWktvRhpRTuHEmLussIvqMqnmMShdOzMj3KUp7i/L0ryjd+wm2kj1EDnwBpTb0HJ9582YymUhPT8fpdKJSta62ThaLhZCQ+o+EE/yHV7p5v/XWW9x3331IksS8efO4/vrrvRGb4EdEN2/fy8/Pp2vXrhQXF/Piiy/y2GOP+Tqkeivdd5Sl176NOlDHlBVPt8hlTLaSveQsuw4kJfEX/YAqINrXIQmNlP3HTra+/ANVRRUgSSReMYhu/5jgtUZJguArVUUV5P21n7y/9pO/Ph17maXW10MSo4ke0onoIcmE90w4YyJ5Jg3pst9UZFmm4t//xZWZU+smQQ1JQhnfhqBH/3HKa1K959g/8TXZf+wCWcbQxkSfR6YSPTgZS0EOh3+4GV1oES67isB2TxAz9JJTzmHO/I1jm55HdtlQBcQSNeQVtMbOXvs7aG6sViupqamkpKQQEdF6GkI6nU7WrFlDly5diIoS88ibG68k06+88gqPPPII/fr1a3YVM6F+RDLtHz7//HNuuOEGNBoN27dvp3Pn5vGie3DRBja/8B2RAxIZ+d6tvg7Hqyz5qRRvfwuFNoSqgo0Exk8gcmDznwne2tnLLWx/8xcO/7gJ8FSr+j42jeghnXwcmSDUn9vponhn1vHO2/sp3ZtT6+vqQB1RA5OIHpJM9OBk9JHerYzVp8t+U3Ls2n/G6rRh5k1outX9OlrfOfbJ1w7nyK9bseaXAdD2wp70uv8SJIWdAwtvQmfKxe1UoIu4j7gLrj7lOrbSdPLX/QtnZTaSQkt430cJalc78a5+nTH1vIeAqHObye3vUlNTMRqNJCcn+zqU86aiooLNmzfTp0+fVrlfvLnzSjL95Zdfct111zFt2jS+/fZbb8Ql+BmRTPsHWZa5+OKL+fXXXxkyZAirVq1CqVT6Oqyz2jzrew5+l0qnG0fSY2bju/77G1mWOfrHzdiKd4CkBNlFmwvmt+rKQkuTn5rOphe/w3LUs48v4eI+9LzvYrSh4meg4J+sBWWepdt/7Sc/NR2HuarW10M7tyFmSDLRQzph6tYWhcr/X0Ma62zVaUXbWAKmXogqJbnOFVP1rbA7LTZ2zv6d9AXrwC2jDtLR456LiBvbmYwvb0FnOoTsklAabqXdpDtOuY7LXs6xDU9hyV0DQHDHywnr9QCSQl3rdUZr6k7smLktcnVXtfT0dIqKihg0aJCvQzlvCgoK2L17N8OGDWt1y9tbAq8k0xkZGXTq1Ik+ffqwcePGRp3jyy+/JCMjo6ZTseBfRDLtPzIzM0lJScFsNvP2228zc+ZMX4d0Vsuuf4eSPTkMfula4i7o7utwvMaS9xd5q2cSknQNZelfog5Jpu34L30dluBlTqudne8tIf3rdSDLaE2B9H5oMnFju7foN7VC8+B2OCncfqSm83ZZRl6tr2tCAogalETMkE5EDUpCF9a6+jmctjqtVsHxJmmqxHbopl6IOql9neeob4W9ZE82m174jtJ9RwEI792OXv+6mNyVj6Mz7vbk89J0Ol7xr1MeK8tuSvfMoWTXh4CM1tSdqCEvYy87UOt1Jnr4OwRED27sX4ffKywsZOfOnQwcOLDVzFw+fPgwOTk5DB061NehCI3glWQaYMKECSxbtozdu3c3amnGxIkT+f3335tll+LWQCTT/mX27Nn83//9HwaDgZ07d9KuXTtfh3RaLruT70c8jex0cdGPD9WriU1zUF0tAIgdM5ec5TciOy3EXfg/kWC1UEU7Mtn0/DeUHywAIHZkV/o8MhV9hFiWJ5xflUeLa6rPBRszcFrsf39RkjClxNXsfTZ1iUNSemV4S7N0SnX6+F5pw8ybsC35E9uKv8B5PKlOSUY/9UJU8Y1vlOl2ushYsI6d7y/FZbUjqZR0unEYStUP6EI920actgkkXvMcCoXn+2LJKyV/Q8bxGdf7kfgU2WlGoTGi1BlRqAzEjplb6zWnpb7OOJ1O1q5dS2JiIm3atNyGpSfas2cPVVVV9O7d29ehCI3gtWQ6JyeHAQMGEB0dzbJlyzAajQ16vEim/ZtIpv2L2+1m9OjRrFq1inHjxrFkyRK/fWEt3p3N8hveRRMSwORlT/ptnA1VXZWurhKc/GehZXLZnez9ZAV75q5AdrlRB+roee/FtJvSr8X82xa848QESRWgJWpA4/cLu2wOjm09VFN9rjh8rNbXtaZAT9ftwclEDUoS2xBOcnJ1OvCfN6NO8RR+3CVlWH/5A/uajeD2zNJW9+mOfvI4lDGRjb5mZW4JW1/5gdzVewEwtDXRdmwWhqi/ALCbhxLe7372zl1B7pp9BMUX0vaC/WQtS8ZWHkDna/eiNhQBtLrXma1bt6JWq+nWrZuvQzkvNm/ejMFgaDZ9cITavJZMg2eZwi233MLu3bt56KGHmDp1Ku3b171k5mQimfZvIpn2P/v376dnz55UVVUxd+5cZsyY4euQ6nTgm/VseWkRUYOTGfHOzb4Oxyv+rkrLxI75BEmSTqlUi8SqZStNz2XT899SstszPz2yf0f6Pn4pgXFhPo5M8LXinVnsmfsHR9fsBbeMUqv2zCxXSMQO70KXm+vXybois5C8dZ7k+dimg7XmnktKBWHd42uqz6HJMUiK1lt9Ppua6vSRbJQJcXV28HYVFFL10zLsG7fXVLA1g/qgu2QsyvDGraiSZZmc5TvZ+p8fqSqsAKDdJWWEpXi2RBamxZL5e1dkl0znGzZgiKmgMjeIvZ8NQKGV6X7nWgJiOtJm7Ket6nXmyJEjZGZmMnTo0JrqfUslyzJr164lPj6e+Ph4X4cjNILXkukOHToAnn8UR44cqfkPHhAQQGhoKGq1+oyPz8vLw2aziWTaT4lk2j+98sorPPzww4SGhrJ7925iYmJ8HdIpNj3/DYd+2ESXm0fT7f8u9HU4XlGZu478Nf88pTrQWqoGgofb6SL967Xsmr0Ul82BUqum2/+NJ+mqoa16WW1rVqsD9PQhxE/o9XcH6N+2kbFgHeasQga+eDVxY2pX3ZxWO8c2H6zpvF2ZXVTr6/rI4OMznzsROSARTVDr2E/qLY496Vi+/omAqyah7pJ02uNcOXlYf/wdx7bdnk8olWiHD0B30RgUIY3bb+4wV7Hj3d848G0qyDLhvfOIv2AnkgJK9kZSuDOGpMu31xyfvtCz3Dfpyq2t8nWmvLycLVu20Lt37xY/e9lut7Nu3bpWNw6sJfFaMq1QKE65Q1Z96vrcOZNlGUmSRDLtp0Qy7Z+cTieDBg1i8+bNTJ06le+++87v7lT/fs1blO3PZch/rqfNqBRfh3POnLZysn+7DJUhpqZaUK21VA2E2sxZhWx64TuObT4IgCmlLf2evIyQRDFrvDUp3pnFitvqMZv4qYUcXbmLUR/dgTpAS966/eSu20fh1kO4HX+/B5JUSsJ7JRAzpBPRQzoR3DFK/Ew5j5yHMrH+8DvOPRmeT6jV6MYORTt+BApDQKPOWZR2hE0vfkf5gXxCkwtoP2kHCpWM06ZEqXYhKUB2gyU/CCQFxk5xtBk3r47XmRmA1GJfZ6qrtW3atKn3CtfmqqysjK1bt9K/f3/x3rqZ8moyfa5EMu2/RDLtv7Zv306/fv1wOp0sXLiQK664wtch1XBVOfh+5NPILjcX//woAVHN+w6z9dhW8v96CLet5LRVgdZQNfBHBaUWyiptNX8OMWiJDG3cG97GkGWZQ4s2sv3Nn3FW2pBUSrrMGEWXm0fXmVQJLc/aBz7DnFXEuC9mnvF77nY4+f3qt7DkleKqctT6WkBMKNFDOhEzpBMR/TqiNmibOmzhLBx7M7Au+h3XoUzPJ3RadONHoBs7DEnX8O+PObuIX6e+CkBQQhEdL9uOUu2u89jW/Dqza9cubDYbffr08XUoTSo3N5d9+/YxfPjwZjHqVDiVV1/hx4wZw5NPPtmoxz700ENs2rTJm+EIQqvQs2dPHn30UZ5//nnuvvtuxowZQ1iYf+zbLE3PRXa50YYFoo9svh2PZbeTkt0fU7pnDkgSWmNX9FF1z8DURw1Ca+pOya4P0UcNapFVA39TUGrhpv/8isP59xtStUrBvAcnnreEWpIkOkwbQMzQTmx5aRFHV+1h90fLyV6+k35PXUZYN7EXriWz5JVydPUe+jw89aw3TxRqFUlXDWXLS4uQ1Eoi+3U8vnw7maCECPEzw8+oOyeiergjjrQ9VP3wO66cPKp+XIptxTp0E0ejHTEQ6SxbGU90bMuhmt9XHDFhL9OhC7Nw4rddlkGh0qGLHFjnOfRRg9Aau1Kc9naLfZ0xmUzs27cPh8Nx1q2izZnVakWn04lEuhnzajIdGRnJyJEjG/VYk6lljMsRBF94/PHH+fbbb9m9ezf33Xcfn332ma9DAqhpzmTqEtdsX+wdlTkUpD6JrSjN8wlZxtjtrtM+H0mSMKbcTt7qmVjz17fYqoE/Kau01UqkARxON2WVtvNanQbQR4Yw5LUbyF6axtZXf6T8YD5/zJhN0tVD6XbXeFR6zXmNRzg/8jdkgFsmfkKveh0fP7E3W15aRO9/TabjpXUnTIL/kCQJTc+uqLt3xrEpDetPS3EXFGFduJiqpavRXzIWzeC+SPVIiJwWGygkcMsEty9GH26p43ogu6owH/6R4A5T64zH2O0u8lbPpCz9K0KTr/HG0/Qr1VOBSktLW/ReYovF0mrmabdUfrP2TJZlvNhYXBBaFa1Wy5w5cxgyZAiff/45V199NRMnTvR1WBTv8STTxi7Nc1ZkxZFfKdzyErKzEkllQKkLA9mNUhuKrWTvaR+n1IaiMsSJ6nQrJUkSbcf3JHJAItteW0zmr1tJ/3INR//cTd/HLyVqQGKTXdvXy91bK898YHW9l2WrDVoUWhVuu7OJIxO8SVIo0Azohbpvd+zrNmNdvAy5pAzL599RtWQV+snjUPftfsbO6qoALbhlQCZ2eAayG6TTHF64+QUqMpcQ3H4ymuDae4c9rzOxFKe9jTowHkPsMC8+U9/T6XQEBARQXFzcopNpq9VKaGior8MQzoHXkumtW7c2eLb0iX777TdvhSIIrdKgQYO45557ePPNN7njjjvYuXMnwcG+XVpdsjsHAGPXOJ/G0VBuh5nCLS9jzvwVAG1YTyL6PU3uqrtwWfPJWXZ9vc4jux3gdoBSVCO97cSkMbOgvM5jTvy8L5JKbaiBgc9PJ/7Cnmz+9/dU5hSz6v8+pv3U/vS45yKvd2P2h+XurZVCo8Jlc+CotNUroXZU2nDbnGJPdDMlHe/wrRnUG9ufqVT9ugJ3QSGVH3+F8rcV6KZciLp75zpvpEYNSARJIrhdEYaYirNey3ZsI8eObTxDMCry195PxIBnCUrw/U10bzKZTBw7dqymSXFLI8syVqvVLyexCPXntWS6Z8+e3jqVIAiN9MILL/DDDz9w6NAhHn30Uf773//6LBanxUb54QKgeVWmq4p2UJD6BM7KHJCUGLveSmjnGUgKFW3GzMFlK633uZRaI5JIpL2urqRRkjz7DE/880sLNtT82ZdJZcywzly44D52/Pc3DvxvPYcWbSR3zV76PDLVqx3u/Wm5e0vhLi7Fba487ddlp4ujq/Zw+LtUgvSQtegvOlw76qznzfx1KygkIvs33SoFoelJajW6C4ahHdafquVrqPp9Fa7sPCr/+ynKDvHop16IulPHWo8JiA4lZngnQtqlnrEqDZ7O3i67EqXGVXOcrdyEPmoCO2en0/W2MejD12PN/ZNjG57EbS8jJOmqJnzG55fRaCQ7Oxur1UpAQMv7GWaz2XC73S3yubUmfrPMWxCEc2cwGPjoo4+44IILeO+995g+fTojRozwSSyl+3PBLaOPDEYf7v/Nx2TZRemeTyjZ/RHILlQBsUQOfB5d+N83ClUB0agCxLgjX5JlmSMF5ackjSfvEjr5zw6nm3+8u4yQAC16rYoArQq9Vn38VxUBWrXnV42KAJ269ueqf6/x/F7ZiBnS6kAdfR6eStvxPdn0/LeYMwtZ9+DnxF3Qnd7/mowurHHza4WmIzuclL8yG7mk7IzHBQN9YoAYcKxejmvaIJQButMe73Y4yVj4F7EjuhAQHerVmAXfkHRa9BePRTtqMFVL/sT2xzpcBzMxv/4Rqi5J6KeOR9Wubc3xSdNNVGbWvaKm1nkVoNK5UAbegiVnK2rDVrTBxbitX9JuYiDlB6NJuHgWJTvfpjxjAUXb/oPLVoIx5c4WUckNDQ1FkiSKi4tbZMJpsXj2y4s9081bkyXTsiyzcuVKVq1axf79+ykqKgIgLCyM5ORkRo4cyciRI1vEf3ZB8Cdjx47l1ltv5eOPP+bWW29l+/btPvlBXXy8+Zixs/9XpZ2WPApSn6SqcCsAgfETCO/zCAp1oI8ja91sDheH88s4lFvGwbwyDuWWcjCvjHKLvVHnKzXbKDXbzn7gWWhUippEu66ku85E/Xgiro8IJeWdW8hbsJbMBevIXraD/A0Z9Lr/EhIu7tPg18TmsNy92VIpUYSGIKtUGG67Gs70vZFlKj/6EmtWKRue+5aBz08//ZzpJxdgziqk/9OXN2Hwgi8oDAEEXDoR3dihVP2yAtvqDTj3pFOxJx11rxT0U8ajiInEUfENIAH16RUkoVT/RedbPqXy6GGyf38TpWY9AVFm4CfSP1uJJnQyIZ1voWzvHEr3zMFlKyG8z8NIUvPuEK1UKgkJCaGkpIS4uOa1Xaw+rFYrkiSh053+5pvg/7w2Z/pEc+fO5cUXX+Tw4cNnPK5du3Y88cQTzJgxw9shCF4m5kw3L6WlpaSkpHD06FEeeughXn755fMeQ+qTX5P56zZS7hxH11vHnvfr15c5aymFm2fhdlQgqQyE93mYoISLfB1WqyLLMvkllloJ86G8MnIKKzx9ek5y8pLu+nr4yv6EBQdgtTmw2J1YbU4sNsfxX52ez9tO+rzdiaXK83uHq+5ZsI0VVm5h5J7DhFdYATgWbeTAsK4owoLrrJifnKBX2Z3M+joVp+vMy91P/LPYQ90wjl37Mb89l8B/3ow6Jfmsx1WNGMO6d/8ksG04iVcOJn5ib9QGLY5KG5m/biVj4V+YswoZNOtq2ozudh6fieALrsJiqhYvw75+q+c/oiSh7t+D4oAvcKry6n0epS6M+It+qtk2tO/zXzm28RMi+2eh0nlmlTsq9Sj1nVAotgFgiBtL5IDnm/1Wo8zMTI4cOcLQoUNRnKGxW3OUnp5OSUkJAwYM8HUowjnwajJdVVXFtddey6JFiwDO2DCg+rKSJDFt2jS++OILtFrRiMNfiWS6+fnxxx+ZMmUKCoWC1NRU+vXrd16v/9tlr1Fx5BjD3ppBzNBO5/Xa9eF2Wijc+irmwz8BoDV1I3LgC6gDW97d7zM5392fLTYHh/LKOJhbdvzXUg7llWGx1d3VOMSgoUNMKB2iQ2gfHUrHmBB0GhW3v/X7WfdMezuJdDjdfyfcdk/CfUryXUdSXmeibnd63lu7ZXoeyaPPoVxUbhmHUsGGxDbsios4cyX0HLw38wKS2jS+YWhr4na5KH7yDdSBOoIf/Ued72lkWabi5dkABD18FyW7s9kzdwVHV+8Bt+zp2m1zgkIidkQXuswYjSml7SnnEVou19F8rD8txbFlp+cTCgWq/kmoxvRAEWKgqqiCba8vxlZqIfGKgYR1T6i19UOpNaIKiAI8qxt+v+otKjKPYewaQezQIpSaVagNVZ5r2VUo1C4kSUYX2Z/oIf9Bofa8Z7Pkp1K8/S1MPe8hIKp5jGSrqKhg8+bN9OrVq8V1vU5LS0OhUNCtm7ix1px5LZmWZZnLL7+8ViJdLSgoqFYiVlFRu3thdUL9zTffeCMUoQmIZLp5uuqqq1iwYAE9evRg48aNaDTn5w61w1zFolHPADDp9yfQmfxrubSteDcFqU/gMGcCEqFdZmDsejuSonW1kWjK7s8ut0xusfmUJdq5xXU3c1IpJeIjg+kQHUqHmBDaR4fQISYUY6C2zgTm5OXNJzYbq/bI9AHER3r26/vb8mZZlqlyuGqS65ID+Rx++xeq9h0FQNEhCvcVQ7CEBtZdMbc5KbNUUVhW1eBri2T67GS3m5w/drHrw2WoCvPpk8Rpq9Onq15b8kop2JhR0+E7sn+i2CPdyjmPZGP94Xecu/Z7PqFWoR01BN2EkZQeKWbFre8TOyqFgc9decZtAjkrdnk6yFvtIEl0uLQPwe0O4bL+jCbI8zP2eCEclaEDbca8j0Jr5OgfN2Mr3oHW1J3YMXObxVZLWZZZt24dMTExdOjQwdfheNX69euJiIigY8eOZz9Y8Ftee+c4f/58vv/+e8DTMODWW29l0qRJ9OjRg5CQkFrHlpWVkZaWxo8//sicOXMoLS3l+++/5/PPP+f66+s3ckYQhLN7++23WbZsGWlpabzyyis88cQT5+W6JXs9I7ECokP9KpGWZTdl+z6jeOdskF0o9VFEDnwOfURfX4fmE97q/lxusXPopCXah/PKqHK46jw+PFhP+5gQOhxPmNtHh9A2IghVAxp7RYYGnDXG+Mhgv00aJUlCr1Gh16gwBemICw+i2+d3c+DbVHa88yvOg/koXv+RAbddQKcbRqBQnbr3MT2nhP97Z5kPom+5ZFnm6J+72fXBUsrSPctw1UFa7EF6rD8tRdU1qVYCIssy1p+WoWwfj6prUq1zBUSH0m7S+V0RJPg3VUIcQf+8Gcf+g1gXLcF14Ai2pauwrU5Ff8FwBj5zGanPfMvSa9854zaBwS9dQ1j3BLa/9QuZv27l4Leb0YYF0v3uV0HeQlXB/9CGeBrnOSsPcmjRJHRRV2Ev3kFI0jWUpX9J6d5lGLuM8/HfyNlJkoTRaKSkpMTXoXiV2+2mqqqqRTZWa228Vpnu2LEjhw8fZsKECXzxxRf1XopRWlrK1VdfzZIlS+jYsSPp6eneCEfwMlGZbr6++OILrrvuOjQaDVu3bqVr165Nfs19n68i7a1faDM6hSGv+scNMqe1gIINT1NV4JnXaYgbS3jfx1Fq/L/TeFM5XTJ2usql0+Umu7DilCXax8qsdZ5fq1bSLiqY9serzZ6l2iEEe3m2bkOfh7+z5JWyedZ35K3zVK9CkmPo/9TlpzTzq8+IsLqM7B7HVaO7kBgb6u3Qmy1ZlsldvYddHyyj9PjqAJVBS/I1w0i6ZhhSZlad1ecTq9LKmMgzjtE6mSIoEIUx5OwHCi2SLMs4d+33JNVZnn9zkiEAd+9e7N1aTM6affXaJlCw6QBbXlpExeFjAET060CvBydRcegPzJnz0AaXHL8eKDUhxIz+iGOpz1Ky7yjlh6+jy81j/H7bQV5eHnv37mXIkCHnbYVdU6usrGTjxo0tcvl6a+OVZHrnzp306NGDTp06sW3btgbvfa6qqqJnz55kZGSwfft2sXfAD4lkuvmSZZlJkybx888/M2jQINasWYNS2bQdPtc/+iVZS9Po9o8L6TJjdJNeqz4qc1ZwbNMLuO1lSEodYb3/RVC7yc1iiZu31Xd5dKhBS06RmaJyK8fKrBzMLSOzoPy0TbiiTYaaZLl6j3NMWCBKRdP/HTflcnVfkWWZzF+3se21n7CXWZCUCpKvG07KbReg1KlrjqvP9/PBy/tRUGphxfZMso6Zaz7frV04U4ckMjSlTYNWBbQksiyTt24/uz5YSsnxCQSqAA1JVw8j+ZphaEICao47cV+0JEmez/37v7hy89HPuJKqhYvPOkbrRJIxhJDn/4VUx3JeofWQ3W4cW3di/WEp7nxPQiyFBqMcNpgitwGH1YHaoCUiORKtvu7Xbtnp4vAvWzn0/UbcdieSSkHbyQPQd47nwJfv0u6inShU1T8fJbRhPbAVbSdn1WgKNmkY+OLVxI3x3/feNpuNv/76i65duxIZGenrcLyisLCQnTt3MnjwYNEzqpnzyk/wLVu2AHDnnXc26h+ETqfjrrvu4oEHHmDLli0imRYEL5IkidmzZ5OSksL69et55513uPfee5v0msV7PMu8TV1828zL7bRStP11Kg56tqBojF2IHPgCmqAEn8blK/WtZNaVkFUL0KpqEmbPryG0iwrBcEKCd75FhgYw78GJ57WRWlOTJImEi3oTNSiJba/+SNbSNPZ9+ic5K3bR74lLiejj2Tt48nJ3Q5WdNsXlqJ1uHCoFOaZgOsSEcmG/9lw3tiu7M4tYtC6D1Tuy2Xm4kJ2HCwkP1nPJoI5cNKA9xsDWMaJFlmXyU9PZ9cEyindkAqDUa0iaPoTk64ajDa19w1iSJPSTLsD89lycu9NRpyTj3J2O64gnAbd+8AWSIQBFhAnDbdfUY4zWV0iBBqhj+b7QukgKBZq+PVD3SsG+fitVi5fhLi7FuXgJxnATusnjUPdKofzxV7BXmE97nnAgPLH6T25sO9az5uv1tBk9Bl24A9lVhTooAcvRldiKtgMQM2QtSsM41j/2BWPm/J/fVqi1Wi0Gg4Hi4uIWk0xbrVaUSmWLqbS3Zl5JpvPz85Ekie7duzf6HD169ECWZQoKCrwRkiAIJ2jbti2vvvoqd955J48//jiTJ09uskYe9nILldmeufLGLr6bMW0r2etpMlZxGJAI6XQ9pm53ISl8l/T5Wl17pOuzNmnSwA706xRDh+gQoowBflnRr88e6uZIZwpk0L+voe2FPdny0iLMmYWsvP1DOl4+iO53T0B9PPkt3pnFwfeWcM3GDCQZJI0K2e5EluCgo4qw/xuPKaUtKQnhpCSEU3ixlcXrD/DzhoMUlluZ9/tOvli+m1E92zJlSCKd4kw+fuZNQ5Zljm06wM73l1K0/QgASq2ajlcOptP1I87Y40HVNQll+3isPy1D1TXJs1e6XRzKpPbYl69FrrR4PsyWs47Rch8rIvDqKX75f0nwDUmpRDu0H5oBvbCt2UDVL3/gLizGMncBUkwkkk6LbK6s1w9tGbA5IDAunB53tyP/rz1ED3+HgOjB2MsOULrvU8xHfkOhshPd92eCYkLZ++l/GfTSLL8dP2UymcjPzz/jpKDmxGKxoNfrW8Rzae28kkyrVJ7TOJ11jzapj+rH+ut/YkFo7m677Ta++uor/vzzT26//XaWLl3aJD/ES45XpQ1tTDVLJM8nWXZTlv4lxWnvguxEqYsgcsCz6KPEHMfGmjigQ7Pce9yStBmVQkTfDqS9/SuHvt/AgW/Wc3T1Hvo+Og2X3Unq418R2Dacvo9MI35Cr7+bFv22jYwF61hx6/u1lnKGB+u5aXw3rhnThVU7svlhXQZ7s4pZuuUIS7ccoWt8GFOGJDK8WxxqVct4XT62+SC7PljKsS2HAFBoVXS8bBCdbxiJLjzoLI+uXZ22/u9nXIcya/ZQ64b0o/LL73FlHMH6w++nNCqrdqaGZYIAIKlV6EYPQTukH7YV66hashI5t4CG7MmUgIyjkHTXMEr3fYDW1B191CAANCEdiRzwHKFdb+foHzNwVZVgiC3FELuMfXM2oY++grYX3oRS419Lj41GI1lZWVgslhax1dBqtYrmYy2EV5LpqKgoZFlm06ZNjB8/vlHn2LBhA5IkER0d7Y2QBEE4iUKh4OOPP6Z79+4sX76cuXPncsstt3j9OtXJtLHr+V/i7bQWcmzjM1jz1wMQEDuKiH5PoNSGnvdYBMHbNEF6+j1+KfHje7Dphe+ozClmzb3zkJQK2oxOYeDz02uN01EbtHS8bCDtJ/cl9amFpD7+FQEf31lrKadGpeSC3glc0DuBPZlF/LAugz93ZLE7s4jdmUV8ELSdSwZ25OKBHTAFNc8l4IXbDrPrw2UUbMgAQKFW0uHSgXS+aRT6iIY1IKyuTtuWr6mVECtjowh64A6s3/2K7fdVNUvBT+bcnV6ThIuKlHAmklaDbsIoNCMGYvt9FVXL14DdUY8HSjiDQykuK6F/PzuFG3cQPfydU/69aQLjiBzwHHmrZ+Kym4AytKGluKs+In3+V2iCB6AKPEJ47/v9YiZ1SEgICoWC4uLiFpFMWyyWU6YdCc2TV243Dx48GID//ve/jWpdX1RUxHvvvQfAkCFDvBGSIAh1SExM5PnnnwfggQce4OjRo16/RvHxJj6m87zEu/LoarJ/vwpr/nokpZbwPo8SNeRVkUifIMSgPWuV8eT392qVghAvd98Wzk1k/0TGL7iX5OuGgyQRGBd2SiJ9IoVaxcDnriSwbTh7Pllx2vN2iQ/jkasG8sUjl3DDBSmYgnQUV1Tx2bJdXPvSYl76OpU9mUVN9bS8rmhHJqvunsOKW9+nYEMGkkpJx8sHMXHRQ/T+1+QGJ9JwvDo9ZRzKuBj0U8bVSlAkSUJ/6USUCXFYf1zKyf1dZVnG+uNSFDGRKDvEn/PzE1oHRYAe/dQLCXnxIdQ96zGNQ5apTEhGqVVRceCTWlXpk+mjBqExdkWpLcVerqUiqytOqxpNkBnkP3BWHCD3zyewlRV7+Vk1nFKpJCQkpEWMyHI6ndjtdlGZbiG8Nhqrd+/epKWl0bNnTxYsWEBSUv2WL6Wnp3PFFVewY8cOevXqxebNm70RjuBlopt3y+F0OhkyZAgbN25k8uTJLFq0yKsVkp8nvYQlt5SR799GZL+OXjvv6bhdVRSnvU15xkIANCHJRA56EU1w+ya/dnO0aX8e//46lXKLHVOglmKz7ZRjHpk+gPhIT6LR3Bt5tWSWvFJ+nvwyfR6eSsfLzl45OvDNera88gMX//gwAdGhZz3e4XSzeqdnCfjuE5Lozm1NTBmSyIjucWj8sIFW8e5sdn2wlLy1+wCQlAraT+5H55tHY4hp+u0KJ47LqmuMFgAKBcq4GFRJ7VAlej4UwWdfai60brIsU/H8W7hy8uo+QJJQxrehKGUg++d/SNKVW2v2Sp+OJe8v8lbPBMDtVHB0dQe0RisRvXJqjnHZVLjl0SRcdC+6sCivPqeGyMrK4tChQwwbNqxZbwutqKhg8+bN9OnTh+Dg1jues6Xw2jyGF198kUsuuYTt27eTkpLClClTuOSSS+jRowfx8fG1ErHMzEzS0tJYvHgxP/zwA06nE0mSeOGFF7wVjiAIp6FSqZgzZw59+/blxx9/ZOHChUyfPt0r57aVmLHklgKcMhO3KdjLMshf/ziO8gMAhCRdg6n73UhK0R2zLnuzipn11XoqrA46xIRw+8QePDJ39SnHxUcGiz3SzUD+hgxwy8RP6FWv4+Mn9mbLS4so2JhBu0n9znq8WqVgTK94xvSKZ392CYvWpbNyexZ7s4rZu2ADH/y8nYsHdOCSQR0JD9af47M5dyV7c9j1wTJyV+8BPEl0wsV96HrLGAxtzl9DtZMblVWP0bL+tBQpyABqFXJxGa7MHFyZOdiWrwVAERnuSa47tkOV1A5FRJhYCi7UIkkS+ssu+vumzMlkGYUxhIiOJswjDqMyxKHUhmIr2Xvacyq1oagC2mArK0KpriJudAYKdTCqwK4Ed5hG4dZXUWrtKFlK1m9/4LIPIm78vQS2Of83rI1GIwcOHKCsrAyjsfm+RlmtVgBRmW4hvJZMX3TRRcycOZN33nkHl8vFd999x3fffXfWx1UXxv/5z38yceJEb4UjCMIZdO/enccee4xnn32WmTNnMnbsWMLDw8/5vNX7pQPjw2u6DDcFWZYpP7CQ4u1vIbvtKLVhRAx45ox331u77QcKePLTtVjtTrrEm3jxpuHklVT6OizhHDgtNpRaNep6LsNXG7Qo1Er2fb6K0vQ8AtuGEdg2jKC24QREhyKdYdZ0cpyRh64cwG0X9eCXDYdYvP4AheVWvvhjD1+v3Mvw7nFMHZJI1/hzTwAteaXkb8jAabGhCtASNSDxjJX00vRcdn+4jJwVuzyfUHjGinW9ZQyBbc/951pDnXaM1qGsmmq1u7gUZ8bhmg/X0XzcBYXYCwqxr93kOU9w0PGqdQKqpPYo20QjKf1vJYBwfqm6JqFMiMOVmVNnZ2/Htl2wbReRxo7YlYfJMV/v6Uh2FprgKEKS/0Fx2tu4HeWYut1FQPRglPoI8tfci61Uhza0CqVmLXmr/sJR2Zs2o/9JcMeUJniWdTMYDGg0GoqLi5t1Mm2xWFCr1TUNnIXmzavfxTfffBO1Ws0bb7xR07r+dKvIq78mSRL3338/r7zyijdDEQThLB577DG++eYbdu3axb333sv8+fPP+Zw1+6WbsPmYq6qYY5uew5K7BoCAmGFE9HsKpa5ljvLxhtS9uTw3fx12p5veiZE8e/1Q9FoVVrsTtUpRa1yW2CPdfKgCtLhsDhyVtnol1I5KG26Hi/KDBZQfrD2GUlIpCWxjqkmwA9uG1/w+IDoUxfHl3MZAHdeO6cL0kZ1YuyuHResy2Hm4kJXbs1i5PYukNqFMGZzE6J5t0agblvgV78xiz9w/OLpmL7hllFo1LpsDFBKxw7vQ5ebRtZqnlR3IZ/dHy8hetuP4k5CIn9CTrreOJSghokHX9rY6x2id0LBMYQpFM6AXmgG9AHBXWnAdzMSRfsiTXB/JRi6vwLFlB44tx5+fTouqQ3zNsnBV+7ZIYkZtq+PZtz++zuq0bvJ4XIcycezch6YkFE1JLxxKBfoxPVAP7Ix00k3uba//hCWvlEGzrkZtiECpj8R8+Cckhapmn3VA9FC0pm5UleSRt3EooYk70BkL0IZs5timm8he3oXooTMxpfQ/L8/daDQ2+33TopN3y+K1PdMn+uOPP3juuedYtWrVGY8bNWoUTz31FKNGjfJ2CIKXiT3TLdOGDRsYPHgwbrebxYsXc/HFF5/T+dY+8BlH/9xNz/suJvna4V6K8m+WvL84tuEZXLYiJIUGU897CO54pVgKeQYrt2fx0oJUXG6ZwV1ieeKaQbWSnIJSC2WVf++bFnukm49G7Zl++Qe63TkOe7kFc1YRFVlFVGYX4Xa4Tvs4SaXEEGusVckObBtGYLynon0wv5wf/spg+bbMmhszIQYNFw3owKRBHYmox4i87D921oz3Spw+pM7xXuasQga+eDXBHSLZ/eFyspameSpzkkTbcT3oettYgttH1v8vsIlV75HWjh2GbfmaU/ZQn4nscOA8nI0z/TDOA57qNVUn9TdQKlHGt/Ek1kntUHVMQBEoXptbA1mWqfj3f/+uTh/fKx306D+QJAnXsSJsq1KpWrkeyW73PEahQN2nO/oLhuKOiOTAgnXsfP93+jwyrebnR/X+6ZP3WVd//uBP3Rj00utUHFxHya456ExZNcdUFXcgvO+dRPYb06TPPT8/nz179jBkyBA0zfRm0ubNmzEYDHTu3NnXoQhe0CTJdLXMzExWrVrFvn37KCryNC8JCwujU6dOjBgxgvh40c2yuRDJdMv1wAMP8PrrrxMXF8euXbvOqRnG4otmYS0oZ9RHdxDR23v7qWSXneId71KW/iUA6uAORA2ahSYk0WvXaIl+2XCQN7/fjCzD2F7xPHhFf1RnWMorND9rH/gMc1YR476Yedpu3gBuh5Ol175DYHwYQ/9zQ62vyS43loIyzFlFmDMLMWcXeX6fVYg5uxi33Xna80pKxfFEOxxNdCiH3bD+WAWZskSFToukUjAspQ1ThyTSrV14nTe+indmseK294kdlcLA566s83m4HU5Sn1xAzopdyG431UN348Z2p+ttYwlJ9L+xmrIsU/HybFyHMlG2jyfo4bsafeNPdrtx5eThzDiCM8NTvZZLy085ThETebxy3R5VYgKKMKO42dhC1WpoB3XerJHtDkp+WEHVH+vQu6tqPl9eCVnHIL8YJq98FrVBiyzLHP3jZgBix8yt9e9GlmVylt+IrXgfkupi2k15CIVSR8HmlRRumo3OdKDm2KriNoR2vZnooZOapEmY3W5n3bp1dOnShago3zVDayxZllm7di3x8fEiD2ohmjSZFloOkUy3XBaLhe7du3Pw4EHuvPNOZs+e3ajzWAvLWTxhFkgS0/58BlWAd5YK28sPUbD+cexl+wEITrwSU49/olA2z5m358s3q/fzwc/bAbhkYAdmTumDQiHeVLc0xbuyWHFr/RLRo3/uZvRJc6bPRna7sRaUexLr45Vsc1Yh5swizDlFuG2nT7RlSaJcp6EsQEu5Xos6OpSeAxMZMqIzxoTwmqXjDbkh8PtVb1GReYzYkV1Juf0CQpNj6/1cfMGxJx3rN7+gv/wi1F3qN+WkPmRZxl1U4tlzfbx67c4tOOU4yRjy97LwxHYoY6OQmnEXZOFvNdXpI9koE+JqqtKnY960m8pf/0R9NAvJ7VlB4nBC4MQRaEcOxObaX2dVutqJXb9VAdGYus/E0HY8kiRRvHsTeWveRRuyC0nhSSuqSiIIanctbcZehULp3b3BmzZtwmAw0KVLF6+e93yovhmQkpJCRIRvt6MI3iGSaaFeRDLdsq1YsYIxY8bU/L4xWy+Ort7D2vs+JbhDJBcuvP+cY5JlmYqD31G0/XVklw2FJpSI/k9jiPX+8vGWRJZlPlu2m/nLdwNw5chO3Dqhu6hOtWC1lkhfOZj4ib3/XiL961YyFv6FOauQQbOups3obl67rux2Yz1WUZNo165qF3n2O5/usQoJfVQogTGhFG49VGup6Zk0dLxXa+I2V9ZuanYkB9zuWsdIeh3Kjgmok9p7kuuENkhqtY8iFs6VY086lq9/IuCqSfW+WeM2V2Jfs5HK31ahsFo8n5QkXNFVOBItRF39Hoo6Gt3JskzOshuxl2WA7Fk6rg3rQVjP+9GFeX6ulB/cTc4fb6M2bEGh8vzbs5WFoI+6krYX3oRS452b7AcPHiQvL4/Bgwc3u9e2srIytm7dSv/+/cV76RZCJNNCvYhkuuW74447+PDDD+nYsSNpaWkNbo6x64Ol7P5oOQkX92HAs1eeUywuWynHNj2P5eifAOijBhHR/xlU+vPfmbc5kWWZ9xdv57u16QDcfGE3rh7d/O7cCw1XvCuLPXNXcHT1HnDL/9/efYdHVaUPHP9Oy6T3QkIqvYTeREEEEUEp4vrTVdcF7CKuva0CCmuvK5a1Iq4rwuqKgoqIUkTpvdckhFTSe6ad3x8hQ0ImZdLL+3meeTLl3HPPzNzMzHvfU9Aa9WVZY62GsEt703vWWKcy0g2lbDZKMvLJPxdgZ51KJ25/IrmnM3DPL8ZwQZB3zYZn6zyJ2oox8xk2/7o6Le/VkalSE5b4RCzH48q6h59KgFJT5UJ6Pfro8POZ665RaN3rv8yZLSsHW0HdVwnQenmi9fOp9/5E/RUmZ7Htry/TZ3gwLpnnezVoA/0xjrkIl0uGovWo/DugPDtt8LkMS8EWlLWs67hn5ET8+81B71423KIwKYHENW+ic9mMzqWs94op3wMX76lEXn0PereGzcuRnZ3N3r17GTp0qP23aVuRkpLC0aNHufTSS9v0WtnivBYJptetW8egQYPw9fVt7l2LepJguv3Lzc2lb9++JCUl8cgjj/DKK684tf2mBz4lZdMRBj4yhe5/vqTe7ShO20b6tvlYS86CRo9//zn4dL8JjUa+dGpitSne/N8OVu+IB+DeqYO45mIZU97RFKXmkL79hH2G7+BhNS8r1dysNsWWQ0n88MtBTh9Kos+Zs3TPzue6P/5R5zq+vvhp+v9tUoM+ZzoiZbViPZNyPnt9PB6VX1C5kEaDrnPIubWuy7LXdQ12ldlC7txXUNm5dW6Txs8Hn4WPoqmhe79oOmVDLDLod+NBdMd1uCR1gpJzJ1z0OnQDYjCM7IU2vPxEtiL1jyfIO1VIXsI0Isefxpy/HlBotEZ8et6Mb6+ZaPVlwXJJVjpx37yGzvAberdzE6HZNNhsFxF19QJcvOu3vJXNZmPTpk1ER0e3uXHHp06dIj09nYsuuqilmyIaiVPBdEFBAePGjcNiqTxGSqPRsHXr1jqvlzZlyhR++eUX7rvvPubOndvmzip1RBJMdwyrVq1iypSySUO2bNnCsGF1W+pCKcXKic9RmlnAuE/uIaB/lNP7VjYzWQfeI/fovwGFwSua4BH/wOgns13Wxmyx8eKyrWzcfwatBh6+bhgThkS3dLOEqFF8Wi7fv/UTwT/tcjoz3fPRqfS/4eJmaGX7pZTClp55Lrguy17b0jOqlNMG+FUad60NDXbYtbZ8wjVVUIjHHTdCTd1vlaLww6VoPD0aNDGbaJisg4msv+td+s/ZilaXB1YtLqmdMJ4JR59/fjJSi3cupeFnMIWkgc6Gucid/e9ehLJqCbvUk85jjmAzHQFA5xqAX+xszAUDOLJ4A8mbjqDVWQgcmEznMcfQ6srCDkuJAaXGEHXVA7gGOj+B4L59+1BKMWDAgMZ5MZrJgQMHsFqtba7donpOnQr85ptv2LFjR5UZ/jQaDbYLumzVpqSkhFdffZX//e9/rFy5UqaHF6IVmDx5MjfddBNffPEFt956Kzt37qzT0hMlZ/MozSxAo9Pi0yPU6f2a8hNI3/o0puzDAHh1uZaAAQ+h1cskY7UpMVlY8J/NbD+ail6n4e83XsTo2KZb51uIxhId4sNl/zeCg2t2cXr1njqNmT79426UBnQ9OzdDC9s3jUaDLiQQXUggxkvKuszbcvPLluI6fm7cdWIytsxsTJnZmLbuLtvOwx19t6hzM4ZHo4sMQ6PXl61/PGU8BW99giooqnEZMPPBY9jOZuJ54zQJpFuQf98Ihi+4mV0vlOId40HEFf3xu74nOlcD5uPJFP6wE0NKFvo8H/SHfPBIGIx+aHes/XpSMDWR+FU7Sd5YQPLGznQe24lOFx3EWnKWjB0LKUr3wlo6gsGPTydy4kDM+btI/e0+3IJHUJy+Fb2rGVhL4k/rsJaOIHzCA3iGd6l72/39OXXqFFarFZ2DMd6tVXFxsfTMbWecCqaXLl1qv66UIiQkhNtuu41JkyY5tdZb//79WbNmDWazmZMnTzJmzBi2bt1KdHS0M80RQjSBN998kzVr1nDgwAFeeOEF5s+fX+s2WYfOAODdJRi9a90/C5RS5Md/R+buV1DWErQuPgQNfRqPzmPr3f6OpLDEzNwlm9gfl4HRoOOZWy5maI/Wt0SQENVxCfLmdJAvnks3ETN1SK2zeR/98ndOB/nS1096RzUFrY8XLoP74TK4HwCqpBTLqdP25bgspxJRhUWY9x7GvLfs5CcGA/qYCPTdy8Zc66LDKV65Fn2f7tVmsItXrkUXE4m+T+PNcC7qJ3xcLO4hD3L4k3XsemUXvLSz0pwLEaN60KO/H9ojR1DZuVg2HICNB+nZrxc9X72Ok1vPcPJ/20haZyZ5Yz86X5ZBQOwh3IPzcQ9ei3snC8oWSvbBDzD696PTpW+T9MssCpMSMedbcQ8pQOfyB6m/bcZcOJCwy+7Hp1vtEyX6+flhs9nIzc3F39+/zs+3pKQEs7n6yREbi8FgwNW1ckJAKUVxcTGhoc4nHUTrVedu3iUlJfj5+WE6t/j7E088wfz58+u9YHp6ejrPPvss//rXvwAYNGgQO3bsqFddoulJN++O5csvv+TGG2/EYDCwa9cuYmNr/mI78N4aDn/8K9FThzJs3nV12ofVlEfGzucpPLMWANegoQSPWIDeLbjB7e8I8gpLeXLxbxw7k427Uc9zs0YTGy0TtIm25XhSNvP/8S3Tdh4jYlxfLlp4Q7XLe215+ksS1x3i2yE9yPbzpFdkAP1iAukXE0TfqADcjTIrdVNTFgvWxOTzS3KdiEcVFjks62jdYzi/PnJ1j4uqmmtit5rmXFBWK+b9RyhdvxnL4RPn9xUcgG74YBISSjj+9XbMBSX4dvdi4ENa8uNXgLICWsBmX3arfCKzMxvGoHc34NttP65+aWX7sUFpbm9CRt5LQL/qxxUrpdiyZQtBQUF061a3+UFKSkrYtm2b071p60Or1TJ8+PBKAXVJSQlbtmyhf//+Tp0AEK1bnYPpn3/+mSuvvBKNRsOiRYuYPXt2ozTg66+/5sYbb8RqtfLJJ58wY8aMRqlXNC4JpjsWpRTTpk1j5cqVDB8+nD/++KPGblS//e0TUv84xuAnrqHrdbVPqlF8dhfpW+diLU4DjQ7/2Hvw6XkLGk3b6arVkjLyinnio40kpOfh4+HCC7deSvfO9ZvIRYiWlJ5TxMxXf6RzcibjD8TjFRlAzz9fUmV5r6Nf/k7+6UzWxkYTH1z1WNdqoFtnP/pFB9E/JpDY6EC86zAGWzSMUgpb6tnK464zssomMovsXGXtY6UU+S++iyooxO3PU9EF+KH190Xj2rreq9Y0K3lrnNjNmnqW0g2bKf1jJ5SUlt1pMEDvnmxZdoAe95ctdWfKO0XGnjcoSd+Ki28vOl++BI1Gg1KK5F9vpTS7gJ0vd+Xq754g99QfZO//CFf/0/b9lGTFEDD4LkKGjXfYjiNHjpCfn1/n+V3y8/PZuXMnvXv3dnrFEmcUFRVx+PBhhgwZgpeXl/3+rKws9u3bx4gRI3Bzq/+s+aJ1qXMwPXfuXJ577jmuvvpqVq5c2aiNeP3113nkkUcYMWIEmzdvbtS6ReOQYLrjSUpKok+fPuTl5fHaa6/x0EOO145WSvHdFf/AlFPI5UvurXH5HWWzkH3oQ3IOLwZs6D0jCB7xD1z9+zbRs2h/UrIKefyjDaRkFRLo7caLt19KVLB37RsK0Uql5xSRW1hK0fEU4j7fiGlvPBoFGoMOZbaiNOAyMIaYm0fj3j0Ub3cXrDbFvriz7I/LYF/cWVKzqgY+0SHe9IsJon9MEP1iAgnwlh+vzcGWnUvJ+s2Url5fJftcnpW+kMbDHa2/D1p/X7R+vmjPBdlaf1+0Ab5ovDzRNNMyQq0teG3NE7upklJM2/ZQun4z1qRU+/3a6AjcLr8Ew6BYijO3k/rbffasdLny7PTx5QPp+de77Uvdnd29kbPb3sPod9z+VAtTg9HoJxE97WY8w85ndNPT0zl06BAjR47EaKz9hEx5MH1hkNvYqttPUlISJ06c4NJLL5W5AtqROv/X79+/H41Gw8MPP9zojXjggQd466232LZtG2lpaYSEhDT6PoQQzuncuTOvvvoqd955J08//TRTp0512JWqKDUHU04hGr0On+7VjwMyF5whfevTlGYdAMAreioBgx6xL6EhapeQnsfjH20gM6+EUH8PXrp9DKH+cmJLtG3Bvu4E+7pDZz/cu4fy6Cs/0DkrD4PFhlmvJcnfm1cevapK74uwAE8mDo0BygLyA/EZ5wLss5xOzyc+LY/4tDxWbjlpL9//XLfwfjFBdPJzlx+0TUDr54PbNVdiOXqq0thppRTF3/2MxscLXUQYKicXW1YOqqgEVViEtbAIa2KK40p1OrR+Pvbg2h5o+5cH3T5o6jnssAq9Dq2vD0qvdyp4Rd80PavqO7Gbys7F2sTZdY2rEeOlI3AZPRzLiXgyP1uJIS0Z4hMp/PhLNF6emMJTce06ALeQyr3W3EIuwsWvD12vPYilaCM2az+0OiNBgy5FZ4jh0CdLcfH8jYA+qXh0SgeWkPDdfzF46PDu9iCdRk7Fz6/sMyE7O5tOnVr/fCFFRUW4ubnJ5047U+dg+vDhw7i5uXHppZc2eiO0Wi1//vOfeeWVV9i1axeTJk1q9H0IIZx3++23s3TpUtatW8cdd9zBr7/+WuVLIPvc5GM+3Tqhc3H8kZKf8AMZu15CWQrRGjwJHPIUnhFXNHn725PjSdk8+clGcgtNRId488JtlxIomTbRDhW6unAszLnx/8G+7owbGMm4gWVrzmYXlHAgPoP9cRnsjzvLyZQckjMLSM4ssK/FHuTjdi5rXZa5jgjyatQfueUZ93I+HsaykwYdQMUA0HLoOIa+PbAcOo41PrFKtloVl5R1q67ukp0LViu2jKyyLuTV7dPTo0KQXTXo1nh51On9bY2zkuv7dEcXE1nnid103WPIm/dqs2XXNRoNhu4xFA+7mK3Pf8X4x8Zi3roTlZOH4bAnhiOeFJ75N8bLRqLv1Q2NRoNGo8E/9h5Sf7sP+ILTK7/Hu+t0ClP7sW3eGjwjAgm94Wn8eruT9se7GDx24hZQNj6/IO4fHNizl963PYaXlxdZWVltIpguLi5u0u7lomXU+T8mIyODnj17om2ibjbDhg1DKUV8fHyT1C+EcJ5GoyE2NpbffvuN9evX8+GHH3LnnXdWKpN9OAkA/96dWbhwIVarlWeeeQYAm7mAjF0vUnB6NQCugQMJGr4Qg4fMZOmMA/EZPLX4N4pKLfQI9+OFWaNlPKhol3w8jBj0WsyW8xMEGfRafJw83v08XRkdG25fJq6g2MTBhEx75vrYmWzO5hbzy57T/LKnbIymr4fRPqFZv5ggYjr5oNPWL0AqHwt+4fP49JFJHSagvjAArG4Gb42bK7rOndB1dhwMKasVlZuPLSsHa2Z21WA7MxtKTaiCQqwFhVhPJ1XTIH3lQNvvgqDbzweNweCw7S09K7mjkxMXshw6jjXuNJ5/uxWNQd8i2fWQ4d0w2TSkKl9innuM9P/MQX/CHV26C+Y9hzDvOYQ2JAjjZRdhHDmkLDvt24fSrGPYzLnkHPkUZYPes7oRNXkK7qHDy4LuPu+RdXAFOYf+AVoDWoMZ98BvOf75zxRrrqIoejiqd+9Wn/EtKioiKCiopZshGlmdg+n8/Hx7d4qmEBxcNoNvbm7dz6IJIZpeUFAQFosFgEcffZSrrrqK8PDz6xiXL4v1+YGfePPLD1iwYAEAJRl7Sd86F0tRMmh0+PW5A9/es2SSMSdtP5bKs//+g1KzlX4xgSycMQoPV5m1WLRPwb7ufPrIpEbP6Hq6uTCiVygjepWdyCs2WTh8OtOeuT58OpOcwlJ+O5DEbwfKgjEPVwOx0YH2ALtHZz/0urolFHILSysF0gBmi43cwtIOE0xXDACL//v9+UDPyYBHo9OhORcE67tFV3lcKXU+u52ZjS0r91ygfT7wVrn5YLFgS8/Alp5R/b68Pc93Hff1wrz7YK3Bq/vN07EmJoPVBlYrymoFy/m/9vsq3m+1gtWGsljK/lZb1gbWsjI2swXcXCn+bk2VAL8ssP8ZXUyE/bGWyK67d/IlbHRvTiz7g04jzBS576DTvYsw2rpQumELpZt3Yks7S/GylRSv+AmXEYPwjb2Z9JynSN4Ug2dEDt5R2bj6nSDt9zkYvLvg0+16PCInUZz6LUb/foSM+idJa/6MpegsLl5FeJu+59jeQ+xL3EivaX/D6NM6Z8m22WyUlJRIZrodqnMw7ePjQ3FxcZM1pKSkBKBOEwgIIZrP3LlzsdlsPPPMM+Tl5XHPPffw3XffUZy+jay9b2LO9+erlH0s37mJBQsW8PRTT5J96EOyD30EyoreozPBIxbiGtC/pZ9Km/Pb/jM8/+UWLFbFsJ6dmHfzSFyr6UovRHthH0PdhNxc9AzuFsLgbmVztJgsVo6dyWb/uUnNDsRnUFhiZuuRFLYeKRvH62rQ0ScqwJ657hXhj9EgJwdrUp7hLf1lU5NlcDUaDRp3N7TubhDuuNeTsliw5eRdkNEu70Z+LrttMqPyCrDmFWCNTyyvnOJvqwlev10DGg1F//mm0Z9TTazxZ6oE+GWBfSIYjRT88xP0UZ3RRoShiwijeOXPzZpd733rWNbd/h5nfnkZt6BwdEZfLGSjm9gTt8tisOw+hWXzEVR6DqaNW2EjeAVcTHSvArYs7sKgx0bi0+Uo+fGrMOedImPXi2TseQNspXQavQi90ZugYXNJ/e0+0nd3xrtbFgYXE0W2P0j47ieUGk3ExAdwDw6rsZ1FqTmkbTuBpagUvbuRkOHnlwFrCuUxlMzi3f7U+VdZcHAwKSnVTAzRCFJSUtBoNDL5mBCt0Pz588nIyODtt99m1apVLF26lDEhP2PKPc6KrGyWJ5/i2fnP8MRDt5O8/i5KM/cC4Bk5icDBj6M1eLbwM2h71uyM57WvtmNTcGm/cJ64YQQGffPMZitER+Oi1xEbXbak1o1jwWq1cTIll/1xZ8u6hsdnkF9kYteJdHadSAfAoNPSM8LfnrkO9nHDdC4bfTo9z+F+Kt7fEcZQazQa3KZdQfFXP+A27YoW64ar0evRBfqjC3SctVRKoQqLqnQht8QlYj0R7zh4TTgDLgY0RhfQ6dDodKDTgV6HRqcFnR502rL79RUe1+nQ6HWg04JeXzZLub7i/RXLatHoy+pBpwethpJVaysFyGUTu60BrRZKS7EcPo7l8PFKz69OXcMb6b3x7xvB8H/8H8VJm7AUFpG09paqhfqBPtsP45lwDGeD0Ge6o890Z1SswhMj7jF349/vXvLjV5F7fBmWoiRc/PrYJzFzC7kIo38/PEITcfV9Ec+czeTk7SQkNAv4laSfN2AtHU74FffjGVF54tTi9Fy2zV9G1m8n8YrMIGL8MU7+twc7FgYSOroXfW4bV+OqJPVVHkxLZrr9qfPSWNOmTWPVqlWcOnWKqKioRm/IrFmz+Oyzz9i8eTPDhw9v9PpFw8jSWAJg3LhxrFu3DjdXIxve7sn/dobx4nurue2iUby57Gkydr2AzVyARu9B4OAn8IqSyQTrY8UfJ3jnu90ATBwawwPXDqn32E0hRMPZbIqE9Dx75npf3Fmy8ktq3EajgYq/sC683dHGULdF5ctSAfalphzd15zKlxcrn8it/LbH7Blofbywnk7CkpCE9XQS1jMpoFT1a36/9C5YrXj9/b5Gfx4Ze3Zz8utfOLs7DpRCa9BhM1tBoyFocAwxU4fi07UTttxCLNuOYfrtEFqTuWxjrRbDwD4YLxtJqVcK6b8/UO3SWlbr3biPnsTxY8eILDxJacoyjL7ZANgsGkwFAwi77G/4du/PsdXbWfv5d/idtqIvstLrr9vwCM2nMMWLI58NLzuJAVz0wk2Ej4ut93N3tDTW6dOnSUhIYNSoUa1+bLdwTp0z01deeSUrV65kyZIlzJs3r1EbkZuby4oVK/Dz86vzwutCiOb3xWsf0mfUYLKL8hhxxz6U2sfDfx3InZfbSN/6FABG/34Ej1iIwTO8ltrEhZRSLF1/hMU/lS0fdu0l3bl78gD54hWihWm1GmI6+RDTyYepI7uhlCI5s9Ceud51Io3MvMrB9YWpigtvd7Qx1G1RtbOSN3I21xnVTexm6N8LjUaDPjqc8gGTymyhdNM2ir/8rvqu4UDe/NfQ9+yKoWdX9D27oPVqeG+ywIGDCBw4iKLUHNK3n8BcWIrBw0jwsAu6U/sB0UOIc9lG4jv/Y8D4KGynEjDvOoB51wFs3hY8ug7H1WdQpfrdQi7Cxacvpvw1+PqWTbLmM3I6fn63krL+K3JPfIarXyquvnvI3HUriT9148TaYJSHN8pqwzsmC4/QfAA8QvPxjskiLy4ANLDlyS8Y98k9jZqhLp/JW77P25869xmcPHkyWq2Wl156iRMnTjRqIx566CHy8vKYOnWqHGRCtFJnfj3A77M/4cWrpwDnfxgOHXMDOtcSlIKULV2w8YAE0vWglOKj1fvtgfQtl/eRQFqIVkqj0dA50JOJw2J47PrhLJwxql71fLf5BL/sTuB4UjbFJksjt1I0horBa3PO4F2d8gDfGnfaPrGb25TxDr8rNAY9xstGVmo/YF/zG9eysNuWloFp41YKP/yC3Ef+Qd6CNylathLT3kPYiuo/X5ItKwcXUyHhA0KJuTia8AGhuJgKsZxOqnIJivQmpwgyug3Ga+79uFw6Alx0aPP0uOz2Jvfx5yn6YgXW5DT76+Df/26wnYK8vbi6upKVlYVWq6XzuOvpc+cq3DovoCQrEo0WPEJO0P36nfj3SsU9JI+w0SdQ5+YIVDYIG30CUHDut83hj3+t9/N2pHyNadH+1DkzHRkZyS233MKSJUu44oorWLNmDd27N/yD5Mknn2Tx4sUYDAaefvrpBtcnhGh8WQcS2frUUsIu68OWlB8qPXbjbU9y2bAwnr2rPwaXaWx7ejkenfybZMxRe2W1KRZ9u4vvt54C4K6rB3Dd6OpnXxVCtA+rd8Tb172GssnXIoO9iAzyJjLYu+x6sLfTS4OJxtNYs5I3JmcmdqttzW9dTASW43FYjpzEcvQk1qRU+6X0199Bo0EX1bksc92rK/qu0WXjxGuhzBbyXn7PqbWuRw50Yfey34mZOgT3m64hx38l+nhXXFO6Yks7WzYj+IYt6Ht0wXjZSFwHDMPo34+cQx/i2/lxsrOzK9UXevFVhF58FUnrVpPy2yKMXXNw9S+i23WHcTecXzFAo62cnVZWG8m/HaEoNafRJiUrLi5u0lWRRMtxalrYhQsX8t///pfTp08zbNgw/v73v3P//ffXawbu3bt38/DDD7NhwwY0Gg333XcfXbp0cboeIUTTO7x4HZ4RgfxgXserS/Yw99E7eOKZN5k0aRIbN25k/fZkrtidwv33BHNJaB8OL17HJa/+taWb3SZYrDZe+e92ft1zGo0GHpg+hKuGy2ehEG2Jo/WxaxszrdNqGNMvgrO5RZw+m0duoYn0nCLSc4rYcSztgvpdKgXYEcHeRAV7E+TjJr1XmkFzzEruDGcndqtpzW+NRoPLgD64DOgDgC2vAMuxU5iPlgXXtrQMrPFnsMafofSnDaDToY+JQN+rK/qeXdHHRKIxOAgn9Dqn17rW6/Tk7zrL1nnL6X9vJKUF+/Cbvgi3kIuwHDlB6frNmPcexnLsFJZjp9D4euM1aAyZlg9wD0sktchASUkJrq6ulao35QcS910/tCFFlAwtRfk6aMK57HRenD9Q9s+avv0E0VOG1vJu1M5isWAymSQz3U7VeQKyct999x3XXnutvauIt7c3U6ZMYdKkScTGxtKzZ09cXKqesUpLS+PgwYNs27aNr7/+ml27dgFlXU3GjRvHmjVr0GplptrWSiYg67iKUnP4fupL/NElkzeXfcgjMwfx8ic77V/e999/P2+99Za9fOegTtzoczHPbPwIj1A5C1sTk9nKP77YwubDyei0Gp64YQSXDZCMvhBtUXpOkX197NPpeby4bFuVMk/cMJzIYG+g6mzeuYWlnE7P43R6ftnfs2XX03OKqt2nq4uOiKDzGeyIoLK/nQM867wmtqgb8+HjZcHrdVdh6N2ywXR9lE9UZrx8FKW/bLJPYFYbW3ZuWWB95CTmIyeqZpoNBvTdouyZa11kZ/tEXhdOllZb2zz/ditpaSa2PvUFvWftxjPcSMjIF4DzgbgtpxDL1qNYth+DgrJ5CpRGUdq5lMN9xtBr5AjCwiovi3X8y9/Z8/oqzAZF0UAzF12ypVJmuqLk32JI2RIDSsfAhyfT/c+X1PoaXejCCcjKbw8ePBhvb2+n6xOtm9PBNMAHH3zAvffei81mQylV5YyYu7s7np6euLi4UFBQQEFBARZL5bFA5bsdM2YM33zzDb6+vvV/FqLJSTDdccV9t4Mn7nmQ5cmbeOD6MJ7751eVZtQEWLBgAfPnz8fTTUtBcVlm5rIhF/Phl0vo1q2bo2o7vOJSC/M++509J9Nx0WuZ95eLGdHL8RqpQoi25XhSNrMXra1y/7v3jad7Z+dOMhaXWkg8m8/ps3kkVgi0kzIKsNoc/4TTaTWEBXhW6ioeGeRNRLAXbs24Vn3FEwzQMZYDa63KZyG3xp1GFxNZr5nIlVLYMrLKAutzAbbKL6hcyNWIoXsM+l5d0fXoQvEXKwBNtftzNDt65v5TZB+4Ha3e8RJzANg0GNKDcU2MQJ/rC8ABdx1uvr70u2w0LiMGoTk3Jjzuux3sWPAVZqPCcHUmfQMS8dCbqq3aUqwn91QgXl0up+vN/4fWz8eZl6lKMJ2ens6hQ4cYNWoUen3z/f+J5lGvd/TOO++kZ8+e3HTTTfa1pyvG5IWFhRQWFjrctnxZAYA5c+bwxhtvoDt3BksI0fr88/P3WZ68iUdmDuKBvwywr/NYUfkM//Pnz2dEv2B2Hshg/c4/6Nu3L48//jhPPPGErK1YQX6Riac+/Y3Dp7Nwc9GzcMYlDOga3NLNEkK0Qm5GPT3C/egRXjkIt1htJGcWlGWyz+bZs9qJZ/MoMVlJPJtP4tl8fj9Yub4Lx2WXZ7N9PRt3XHZ6ThEzX/2xUtd3WQ6s5TTGmt8ajQZdUAC6oACMo4eXBdcp6ZiPnMBy9CSWY6dQRSWY9x/BvP9I2UZGY9n6106sdR3Qrws+Xb+gMDmRrIOJWIpN6N1c8O8bgWuAV5U6bEmZWLfH4bPvGGl5uRR+sYKi//2IceQQjJddRMjwbqDR4B2ZjTY3CO/EQDxsVaqpxB9g/wmynl5AzqVBhI+fhWtAiNOvGZRNPmYwGCSQbqfq/a6OGTOGAwcO8M9//pN33nmHzMxM+2PVnXkq/ztx4kSeffZZWQZLiDZA6TTc0mcI91wFfn3vrPYLeN68eVgKzpAbt4rbw65lSVoim/ZsZeHChfz73//mn//8J1OmTOnw4/uy80t44uONnErNxcvNwPO3XkqvCP+WbpYQohE5GkNt0GsbdSIxvU57LvPsDXS232+zKTLyis93GT8XaCem55NTWFrtuGxvd5fzmewK47ODfNzR1mOd+9zC0krPH2Q5sJZm6N0dw9z7G60+jUaDLiwEXVgIjLsEZbNhPZNyPnN9PA5KS0GjofjbNfYx2uVqmh1d794Jn26d8OlWh1jBD4i9hIiUVNJ//IniuFTc07MpXfcHpev+QN+rGz1GhlEavZuzGd4otFTsOl4dhUK5FaHVfMWZNf/DlNcdn+7TCL10Olq9oc6vU/myWKJ9qlc37wsVFRXxyy+/sG7dOrZs2UJaWhqZmZkUFxcTEBBAYGAg3bt3Z9y4cUyYMKFRZgEXzUu6eXdchSnZnPrqeny6elQZu1SVIm3zk+SeLCTmT8v4afM6HnjgAc6cOQPA1VdfzT//+U+6du3aLG1vbdJzinjsow0kZRTg7+XKi7ddSkwn57qPCSHahtbYxTmvsJTTZ891Fa8wPjutpnHZBh0R5wLsiArdxmsbl/37saM8uWRNlfufuGGEfdx4Rf7uvoR5d6rfExOtkrJascafoWTjFsxbdlcZO10+Vtpw0SBcx12CLiIMTQPmT1JKsWnTJsLDwwkvMpdNWLb/iH3mv3zXUvb52RiY5lZrZrpcbn9Xil02YfTNOd/uQlcUwwm56Bb8eg2qss2F3bx37tyJh4cHkb6dSNt2AktRKXp3IyHDuzXabOGi5TRKMC3aPwmmOy5lNXFy+cSaxy5dwGbxpuv1q9HoyuZNeO6553jttdcwm80YjUZ71++ONLPlmbP5PPbRBs7mFhPi685Lt4+hc6BnSzdLCCEoMVk4cza/SqCdlJmPxVrLuOwgr3NBtjeebga8XF3INWdyx3e3Ump1PMmTI24GV9bc/pUE1O3Q+XHRCq/HZ9uHfOa/8A7W00n2YFfj7YmhTw8MsT3R9+mO1qPuJ59sWTnYCgo5dOokJouFgT16lt2fk4dp135MO7dTZNGx30NPbKEZDxtoakgOKI1CHxmO15NzUEqRuXcTGbu+ROeyG72r2V6uJDsY14DxdB43A6NfAFA5mPb09OTn/32PafMZijck4BWZQcT4YySu7UH+6UBCR/eiz23jZDnRNkyCaVEnEkx3bBl7drNt/icEDelC7D1XoHUw7sdmsXDg3TWc3RXH8GdvJXBg5bO1R44c4b777mPt2rJJeWJiYnjrrbeYPHlyszyHlnQqJYfHP95ITkEpEUFevHjbpS2eoRJCiNpYrDZSsgorZ7LPTYRWbLJUu12pLpUk7yW8PnkhXQNiat3Pycw4Hlo1l29nfE5sp16N+RREK3HhzN722cXHXowtKwfzkRNQWmFSMI0GXUwEhtieGPr2RBdZfdZamS3kzn0FlZ1LmkFDvFHHkAKLfSyr0tjIvfh3zJkhHM/oyoAsXZ0y0x5zbsGlX99K91mKi0he9yUFid9j9E1Ac65JNrMWU0EvfHtOx2PAZezes5chQ4aQseUkPy75Gp9kGy55Fnr9dRseofkUpnhx5LPh9pnPL3rhJsLHxTr7sopWQIJpUScSTIszvx5g61NL8YwIpNv1I4mcNAiDhxFzYSmnf9zNieWbKUjM4KLnb6TzWMdfCEopvvrqKx588EGSkpIAmDJlCm+++Wa7XWf+0OlMnvrkNwpKzHQN9eWF20bj5+la+4ZCCNFKKVU+Lvt8JvtIYhYnknOA88F0XYPjA6lHmLbkLxJMt2MXztp94QzeymLBciIe84FjmA8exZZceUy/xsujctba06NK3aqgEO1fr2X74YP0ielKgKcXhe99hsorwGYsId9o4aDBjb7FpXgXuVKWm3aQndaAJiQA77kPOkwelCtIiiNlwxIsRRsx+pzvvZeb68vJwhH06zaanS9vJDtci3+cBf/OmXS/fre93PHlg8iLCyjbn1bLuE/uwb9vBEWpOdIdvA2RYFrUiQTTAiDrYCKHP1lH8m+HwabQGvXYSi2g1RB2aW96zxpbp65KBQUFLFy4kNdffx2LxYLRaOTJJ5/ksccea1ddv3efSGfeZ5soMVnpExXAczNH4enm0tLNEkKIRldxOTAJpoUjzqx1bcvKwXzgKOaDRzEfdpC1jg7H0Lcnhtie6KI6Yzl8wp753lWQjZ+fH927d7cH2R533Eh+cTG7jx5mUM/euKWcpfjL72pusEGPLjwMfVRndFGd0UeFo+0UZM8m29tqs3F2569k7V2O3nUfpVodx7Oj6O6XQOaZQE4lR+O1zUDPP+/EPSQfjRaUDYrSyrLToEGj0xLQLxKDlyspm45Kd/A2RIJpUScSTIuKilJzSN9+AnNhKQYPI8HD6nfW9PDhw8yZM4dff/0VgC5duvDWW29x9dVXN3KLm0ZNEwxtPpTMwi82Y7bYGNw9hGduubhZ13cVQojm1BjB9FD9bEZ2GUD/mCBiowNlOEw7U9+1rpXFguVkAuYDx7AcPIo1KbXS4xpPD/S9u2FNOIPGw52U6ePJyclhxIgRlbqXl0SGVhrLfOGYbTvjuZPepQ7WojYY0EWEoo8Krxxgn+uCbi7M5/hP/+bAyX30DttPnsmLnFIvengloHOp2rfcnp0GjIayXSubInryAdwCiyjOcCd+VSyac5P99ZszkeDh3QDQenk6vQa2aHzyy04I4TT3Tr5ETxna4Hp69+7N2rVrWb58OQ899BCnTp1i8uTJTJ06lTfffJOYmNrH2rWUmtZQPRCfwUvLt2GzKS7pE8bfb7oIF72uhtqEEKJtc7QcmLNSsgr5/uwpvt96CoBOfu7ERgfRLyaQfjFBhAd6dvjlFduy+q51rdHrMfTsiqFnV/jTJGzZuWUZ6wNlWWtVUIh5+95zpTPxzsonpbSY4uJiXPt0RxcTSfHKtTD7Lxe0ZQIFb31SZX+ed/0FbUgQ1sQkrKlnsaakYUs5izU1HUxmrKdOYz11+vwGBj26sE7ou0ahi+pM2IBJHE334chnbmhiC/CIyEEXUPX/QtkgbPQJ8uL80Wg0DO9dFlCDBk71g1PgDYT0ATgX8P/8I/k/n3sO3p74PP8EGoOEcy1JXn0hRIvSaDTccMMNXHXVVSxcuJA33niD7777jjVr1vD3v/+dRx99FFfX1jfGuLo1VFdtPcmX64+gFIwfFMUj1w1FV8PyMUII0R4E+7rz6SOTyC0s5Xjmce77cYnTdfxlQjds+WHsjz/LieQcUrOLSM1OYO3uBAB8PY30iw4kNjqI/jGBxIT6oqvHGtii5TTGWtdaPx+Mo4ZjHDUcZbWey1ofxXzgCLbkdIy/boZL+pGdnU1YWBhuU8aXBc3H4irVo+/THV1U+PnstEaDLrIzuu4x5M17FZWdW7cGmS1YE85gTShbBrRQC66eLkSEGDme647K90Trm4bNvajS6qIaLXiE5hN91UFSNnehxOSOi17V7SSDRoPWzxfkRH2Lk27eok6km7doLocOHWLOnDmsW7cOgK5du7Jo0SImTZrUwi2rrGKXRkemXNSVOVMHoZUfekKIDsbZMdDl5QFi/CMZFNaf2JC+eKkIcrLcORifxeHEzConMN2NevpGBdoz1z3C/aQXUAdXunU3RZ8s4+SUMbhGRxAbG4tSirxn3qDQRc/Ri/sxdOhQvLy8ADAdOErhosX27T3/div6PpXHWlNDcKusVgrf/w/o9Bj698SakETemWT2uyhiCy0cctcTWWqlk1mhdBYsXvlYvfOweOdh9cqvFGBbjocTlFD3OQNqGnMumo9kpoUQrUqfPn345ZdfWLZsGQ899BAnT57kqquu4pprruGNN94gOjq6xdpWcYz06fTq192eMCSaiUOjycgrljF/QgjhhLis08RlneZ/B1YB4OniwaCwfozvHUuQSwyW/ECOnyniYHwGRaUWth9LZfuxsjG0Br2WXhH+9DvXNbxPVADuZf1mG6Sm+TEaUlY0PpfhAyldtxn3fUfJ9PHEnjNUNmxnkrGd7VztttrgAHQxEWVdwM9ls1VBUY0Bq/ngMVR2buXANjcX3eq1HPpiO3kxFgwe+ag8dzRWPYYcPww5fvbtlc6CxTsPi1dZcG3xyEdX6IGG6nu02RTYfP3Q9+nu3IsjmoQE00KIVkej0fDnP/+Zq6++mmeffZY333yTFStWsHr1ap566ikeeeSRZu/67WiMtEZTdd4SgDU741mzM94+hlp+SAkhRO0+//N7lFpM7Erax67kfexLOUiBqZDf4rfwW/wWoGwxo+6BXRh4UT8iPLqhN4WRkqLjQEImOQWl7I/LYH9cBqwDrVZDtzBf+kWXZa5jowPx8TA61aaa5se48LPdmbKtWUucEGisfZYHwp5vf0JKSjp5eXm4n0nDlpaBtlMglmMnURPLvriVUpR897N9W1t6JrkPL0QXHY6+Rxe0ocEUr/wZfZ/uDrteK6UoXvkzupjISoGtRqvF4O2BuWsodNqDKfwIOToL2iJ39Hne6PK80ed7ocv3Kguws/0xZPvX+TlqNZAf1YMgmT+gVZBgWgjRanl5efHqq68yc+ZM5syZw4YNG5g7dy5Llixh0aJFTJw4sdna4miMdG2DZMwWG7mFpW3qR5QQQrQUL6MXI6N6cVnXSwCw2CwcO3uS3cn72ZW0l11J+zmdc4ZjGSc5lnHSvp2fmw8De/VjsG9P3K3h5Gf5cvR0HqnZRRw7k82xM9l8vek4AJHBXvSLCbIH2I4+n5PzUskqygHKeiEVqGSo0Hu8VMGO0weILPEGwN/dlzDvTtXOpdEavgfqGqy2xAmBxt6nvk93fCIj4FgcWcOy0Kxciy4mEtfLL8a27Cusx+Jg6AAsh45jTTiDceJlqIIi4rbtICM5mbT4Y+T+9KO9PldNMbrw0Cr78cwrxGf7diLumYl3hcBWWSyU/r6dANc0ijxLMOrNoAGbZyEmz0IISykraNOgK/RAl++FLs8bbZYvhmJ3NKr6oQpKKfKKNBARXm0ZW1YOtoLCOr9eMit4w0gwLYRo9WJjY1m3bh1Lly7l4Ycf5sSJE0yaNInp06fzxhtvEBUV1dJNFEIIcYGTmXG1F6qhnF6rp09IT/qE9OTmQdcBkFGYya6k/exO3seupH3sTz1MdnEu605uYh2bANBpdPQK6c6gvr3x00ZhKQgiPlFx+mw+p9PLLuUzhof4upcF1zGBxEYHojMWcuXH/0exueR8Q7yrtq3iBGtuBlfW3P4V4FzWu7k4E6y2xAmBxt6nRqPBfeoVeH3wKWlrNuAbd5rcm/4PFRqK1teH4p834jukP8Xngmy3a64kMTGRYXfdTElxSdkY5oony9etqnF/+pX/4cMPPmTcuHFERkaCTgeuRvJ9MzHqzNUPudYqrF4FWL0KIDSlbL82DS5JYXgc7V3tcwMI0BVhKyhE61l5DiNltpD3/Nuo/IK6vVjIrOANJa+aEKJN0Gg03HTTTUyePJlnn32Wf/7zn3zzzTesXr2ap59+mocffhijsXX+kBFCiI7E390XN4MrD62aW+dt3Ayu+Lv71lou0COACT0uY0KPywAwWc0cTjvKruT97Erax+6kfaTkp3Ew7QgH047YtwvyCKDfkFiCjTFoS0I5m+ZOXEohaTlFpO0+P2O4i2cWxYYSXp+8kK4BtS/PeDIzjodWzWVP/GmM1hCHZSrOsdESY6hbc8a8qWSHdSZf44b52AmOGjyY+8NJ3A3HmdG1M7Zt+yj+7/dY405jufUmvDUaMjIyygJpKAukdYCNykF1NSxmC7NmzcJodOHo/oP4dwrB0D2akrM7MeocrFXtyLlhYxqtwhSehDE5rKwbeIWx0wqFBg0+HmD57kdyV/2Evlc3XIb0wzCwT1lgrdeh9ffFWlBYe/c5kFnBG4EE00KINsXb25vXXnuNWbNmce+997Jx40aeeuopPv30UxYtWsSVV17ZJPt1tIbqhWOmL7xt0GudHp8nhBBtXZh3J9bc/pW9q3RdlHeVdpaLzsCAsFgGhMUya+iNQFk37d0VsteH0o5ytjCTX09tADbYt+vVsycRnt1wtXSmIMuf+CQL+cUmMEDXgJg6zURe7sVlWzFaOzn8Xnhx2Tb77dY4hrouk2s29gmBpt5nbpGJ73WdGKFPZq02CDQazBYbP57KIcjggccvmzhh8GT+d8f4tGe3qhVYy/4E3RCNS7BbrfszpRdzdlk8cU8+j2HIIKw+rmiz+hDgCmHXvlTtmOuiT/9LqS6Z4rAd5zPYGijudhKv3YMrldegobD3QYzukzCmmbGeScFy6BiWQ8fgP9/YA2vjhEsp+vCLur1QSuE2bYKs394AEkwLIdqk2NhY1q9fzxdffMHDDz/M8ePHmThxIn/60594/fXXy7paNaKKa6hC2Zd8xR9IUPYD6okbhhMZXNYnUGZxFUJ0VGHeneoVHDfmvq/ufQUAJeYSDqQdKZvYLGkfu5P3k1GYyb7UA+zjgH270LBO+OpDSMqu/74vTAZeeNtssbHk54N0DvTE1aDHzajHzUWPq4uu7K9Rj6tL+X1lfw366md2rs6+xDjOZJ8FIDW7kEL9CWya0kpllu8twfWQjv9tOg5WIzpV1mVYowet1R29Kvsuc3RC4JOHJtLJv37LpNZlQs/GOAmx3+BLhs5GqTKUZZkBm1KscAnBV6Wx1CUUs1VVGkt+IZdgN4ydnfgeVzZsp5OweOixAG7pVnQpuiozgifnpZJ+YC9FcSkUj07BcmETPLJw90s+N7O3Bh+rniB3M6awVPDfQuAdS7ClZ2DauR/zzv2VA2uNBlyNUGqqOTt9bl1tmRW8YSSYFkK0WRqNhptvvpnJkyfzzDPPsGjRIr7++mt+/PFH5s6dy0MPPYSLi0uj7S/Y173WL/LIYG+6d/arsYwQQojm42pwZWj4QIaGDwTKMoKJuUnsTtp/LsDey5GzJ0jJTyWF1CZvz5qd8U6V1+s09sDb1aVisK2rEIyfv2QWn+XtA09g5XwXY623Fpuq3NX7k/3nrjj4WtNhoHPO7eiVt8MTAre8/ANarQa9VoNep7VfdFoNBr0Wnbb8vnOPa7XodFoMOi0lJkutE3o62ueh05kAuLnocTfq0ekqn2RwlO0uUQbcNCYq9tc+rPfkIX3TfE97zJ6Bm84FtXs3ZOfiWlxA8bdrKs0InpyXyoSPrisblx8OVDe1gN8hONdMV/R86uVBgEZhLU4DmxldSBBuV43D7apxWNPOVgqsKan+BIGdZKUbhQTTQog2z8fHhzfeeMPe9XvTpk08+eST9q7fV1xxRUs3UQghRCuh0WiI9A0n0jecaX0nAVBoKmJvykGW7fyBVcdXOl1njnEbRmswWuWOTrmjs7mjUx7obO5oqbzW9dgBEbi66Ck2WSgptVBispRdN1kptl8/H3BarIoCq5mCEnOd2lKqS8XqbbKP+y4f1+3sOHCrtgi91cHsa+fYbAqTTWG6IDCuD4smD6u2qMYy85atsF/X2dzx0PvhbtTj7mrAoNOSkJ5XJQgvwISbLhcrpSjApM2j0HCWiqHm8r0lFCWnNPg5AJyyZEF0F7Iy/NBGBZDuaSR55VrcNq8hOHYAYd6dyCrKodjs/Lh83fhH6BwUg87oh0ZXOVFwYWBdumMfpT+uB3M1x4xkpRuNBNNCiHajf//+bNy4kc8//5xHH32Uo0ePMmHCBK677jpef/11IiIiGm1fjsZQyxhpIYRomzxc3Lk4ahhWk75ewXSh8TCFHHb4mEa5nAuu3TEoDzLcexHuF0y4hx8B7v4EuPsT6FH219fNG62mLONqsdooqRBkl5gsFJeeD7btwbjZSnGFoPxohpmknKrjvp0dB16Tl267lMgQbywWGxabDatVYbHayi42Gxarwmq1YbbasFptWGznH0/KKOCLdedfK4smjyTfj7BSt5MFcD5zXmr2JrvAcRbWoskj0fszXKxRFGjPUqQpxscaTaYunuIKXd4/2Q+lSTUH8nX18Pdz8Q3zY6C5FyWaUnbrj5Rln3/bhtuWslnf1bmI39n3w8U7BqNf7eV1IUG4X305hugICt76xHEhyUo3GgmmhRDtikaj4ZZbbmHq1KnMnz+fRYsW8dVXX/HDDz8wb948HnzwwUbp+n3hGGqQMdJCCNHW+XnVPtmUI+NjrqCo1MLuhASsmiKs2kKsmiLQWFEaExadCQs5lALfHjlebT06jQ4/d18C3f0JcPcjwKPsb6BHQNltd38CffwJd/cnwD0IV4NrlTp+2Gdj7Y8OKq8nR5Nrhgd5Eehdv9cqPaeI//521H4y2qotworZ6Uzt/FmDifCModhk4XhSNu+u3FOpnFVbhFljYurASYT6hFDoWsIXq5fxzPjH6BXes1LZQ/sOcsOi6+r1fCp6ffJCYrp2Yd/m3fgG+vHMwN6V2pxVlIM17nSD91MX+j7d0UWFYz2dVGVAumSlG48E00KIdsnHx4c333zT3vX7999/54knnmDx4sW8/fbbjB8/vsH7qMsYaiGEEO3ffZfOwGgNYfaitfb7FAqFibkzBuDpZSWzMIvMoiwyi7LJqHA9szCLjKIsckvysCorGYWZZBRm1mm/Hi7u9ux2wLlMd1FpHZdjqqPGnlzzwpPRv53Yw3NbnM/UBnq70bWTLwBGQ/VLO3UJi0FXAAE+QQBE+UVW2Y8puXEy090CY+ge3I2T+qNEB1Xdj1KK0o1by9aUbmIajQa3aROqZqclK92oJJgWQrRrAwYMYOPGjfz73//mscce4+jRo1xxxRVcf/31vPbaa4SHh7d0E4UQQrRDGjRoMNLZO7xOE1OarGayi3LILMqqFGxnFGaWBd0VAvGsoixMVjOFpiIKTUWczjnT6O1P8/gGnXJHq4x8engTnZL98DJ64unigafRo8r18tteRk88XNzRaasPcCuejD6eWb9ZwStyNPSqnIe3J4W5uZQUFTd4P3VlNptxc6uauU9YvYrMs8chuHnaUSU7LVnpRifBtBCi3dNqtcyYMYNp06Yxb9483nnnHZYvX87333/P/Pnzuf/++xt11m8hhBAdT0Pn0nDRGQjxCiLEK6jWskopCkyF5wPtc8F3RmEWxzJO8ePRtbXWURuLLg8LZbNi/5GYAInObe9ucCsLtF088TR62APtsuue9uvxZ9Mb3FZHy1c++9V3ALi6u2IyFJFXUNjg/dSFxWLBarXi6lq1C/796cuaLZAGB9lpyUo3OgmmhRAdhq+vL2+99Ra33nor9957L3/88QePPfaYvev3uHHjWrqJQgghWoGTmdWtV1R9ueacS0Oj0dizwTH+UZUeO5B6pFGC6cDCieiUB1qdib9c0R2NzkR+aSEFpoKyv6UF5JsKKSgtJL+0gIJz103Wsm7mReZiiszFpJPR4LY4cvPSu3DRGdBqdWg1GrQaHTpN2bJcViukeeQDZa+Vn58fqafPNkk7LlRSUgLgMDNtVDq83bw4W5LTLG2BCtnphDPoosIlK93IJJgWQnQ4AwcO5LfffuOzzz7jscce4/Dhw1x++eXccMMNvPbaa3Tu3Lmlmyga2TPPPINOp2Pu3Lm1ll24cCFWq5Vnnnmm6RsmhGhV/N19cTO48tCq2j8ryrkZXPF39wXa11wa86+bSveA7k6fECi1mOyBdVmQXVAl4K54PTkvle1ndjvdvgJTLZnmCr3M/f39KT1agkY5zsgGBgaiN+ixmC1l21nL7jel161reMVyxcVl1x1lppfPXALAtCV/qVO9jUGj0eA2/UqKvlyJ2/QrJSvdyCSYFkJ0SFqtlpkzZzJt2jTmzp3Le++9x7Jlyyp1/TYYDLVXJNoEnU7HvHnzAGoMqBcuXMi8efNYsGBBczVNCNGKhHl3Ys3tX5FVlFPnbfzdfQnz7tR0jWohkcHedO9U+1jvCxn1Lhj1LgS4123bA6lH6hVcvj3tJboERGFTNmzKhtVW/tdKZn4Rzyz7gTS3smnN/fz8UEphxPH3emRkJMuXLefaP11rD6TRwNll8XVuj9HVSGBgIAUFBeh0OvT61hNmGXp3x+fZh1q6Ge1S63mXhRCiBfj5+fH222/bu35v2bKFRx991N71e+zYsS3dRNEIygPomgLqioF0XTLYQoj2Kcy7U7sMjtubCN/O9AzqVu3jbje7MvN/ZcG00WjE6GrEhernR5k+fTp//P4Hp06dIiMjg91H9/L1rpV4mnqho6zL9ui+4fy46hvySvPx6O/HLZdczyWDL8bX15d+/foRGRnJzp075WR8ByLBtBBCAIMHD+b333/n008/5fHHH+fQoUOMGzeOG2+8kVdffZWwsLCWbqJooJoCagmkhWh9ZHhGw5SP577wb123a+suXDPc3csDF2XAVFJKfn6+w21iY2OJjY0F4Ej6CXb89yid8q/DxRqEQa/l+XvG8efrpjH3zQXYrnRl1v/dTq/g8wF9fn4+eXl5dcpKd7T3o72SYFoIIc7RarXceuutXHPNNfau30uXLmXlypU8++yz3HfffXK2uY174oknyM7OZt68eezevZtrrrmG1atXs3TpUu666y5uuOEGUlNT8fb2xs3NTcaWCdGCZHhG/Tga963VaOs9Dry98A/2p0RTSlLcGcxnS2otn16QQQ9LFJP6B+Lv5oeri56E44fw8fHh6Yef5Ms9/yPu8EkKE3MrbZebm4uXl1e1vxcaOi5ftC4STAshxAX8/f1555137F2/t27dysMPP8wnn3zCO++8w5gxY1q6iaIaVquVpKQk4uLiiI+PJz4+vtL1xMREbLayZWu++eYbvvnmG/u277//Pu+//779tk6nw9vbu8EXT09PtFpts78WQrR1MjyjfhyN+z5bkEFeqeNsLIC3qxdBHoH22y0xDrypMrXl5dMsGWwzHGBqpyl4+PnUup02O5dj+gSeHNqnUvYZyrLWxw4koO1kqFKXR4QPer2OEznxDtss4/LbF41SSrV0I0TrV1hYiKenJwAFBQV4eHi0cIuEaB42m43Fixfz+OOPk5mZCcDNN9/MK6+8QmhoaAu3ruOx2WwkJyc7DJTj4uJITEzEYrHUWIfRaCQ6Oppjx46hlEKj0dCnTx/y8vLsl8b+avTy8mpwUF5TpqOjk+7A7Vt1AbME0u1Dcl4qEz66jmJz7dnicm4GV9bc/lWNAaajerUaLTZlq3abuu6nqdos2h4JpkWdSDAtOrqsrCyeeuop3n//fZRSeHl5sWDBAubMmdOqZuxs62w2G2lpaQ4D5fj4eBISEjCbzTXWYTAYiIqKIjo6mpiYGKKjoytdDwkJ4bnnnmPevHm4uLhgMpkq/Ri32WwUFRVVCq7rc8nNza01sHeWm5tbo2TLjUZju+rCXtegSoKvtuvC907ey/YlOS+1STK1F9bbmBn6pmqzaFskmBZ1IsG0EGV27NjB7Nmz2b59O1A2Wck777zDpZde2sItaxuUUpw9e7babtgJCQmUlNR8pl+n0xEZGekwUI6OjiY0NBSdTlft9s31o1wpRWlpaYOD8ry8PPu6pY3FYDA0SlDu4eHRaoLy2t5HCb6allIKs9mMyWRqsssff/zB9u3b0Wq12Gw2xo8fz/XXX09AQACBgYEEBATYL9KLo/lIzxDRkUk6RQghnDB06FC2bNnCxx9/zJNPPsmBAwcYM2YMf/nLX3jllVfo1Kljn3VWSpGVlVVtsBwfH09RUVGNdWi1WsLDw6sNljt37lzv3gCOAqq6jMusD41Gg6urK66urgQHBzeoLrPZbJ8ltiGX8hlszWYzmZmZ9qEL9aXVahutC3tNJ0Dqoj3O1q6Uwmq1NmmA2liX2nqMNKbyeQ/Wrl3L2rVrHZbx8vJyGGSXXxzd35pODrUlMlGc6MgkMy3qRDLTQlSVmZnJU089xQcffIBSCm9vbxYsWMC9997brrt+Z2dnVztmOT4+noKCghq312g0dO7c2WGgHBMTQ3h4eJNklSRzWRaEFBQUNEoX9vKAprF4eHg0Srb8pZdeqrXngdVqbfIsamNd2vLPNKPRiIuLS6NdNm/ezPr169HpdFitVgYOHEh4eLj9xFBGRgbZ2dn1fs1cXFycCr4DAgLw8/Nr9RMMNkfmWD5fRUclwbSoEwmmhaje9u3bmT17Njt27ACgX79+vPvuu4waNaqFW1Y/eXl51QbK8fHx5Obm1lpHaGhotWOWIyIiMBqNzfBMzpMxtY1LKUVxcXGjdGEvLS1t1LYZjUZ0Ol2lHhDu7u4YDAZ7gGq1Wht1n83JYDA0aoDaVBedTteoWd66Ds+wWq3k5OTYA+zyILvibUf3m0ymerVLq9Xi5+dX5+C7/H4XF5fGemlq1VyffzJRnOiI2m/qRAghmsmwYcMqdf3ev38/o0eP5q9//Ssvv/wy7733XqsaT1ZQUFCp2/WFQXN2dnatdQQHB1cbLEdFReHq6tpk7a8Pq9Vapx9yFTOXonoajQZ3d3fc3d0bPLShtLS0UbqwFxYW2uu7UG1DC3Q6XYsHn3W5GAyGDtkN2ZnhGTqdzh641pVSisLCwlqD7wsfy8/Px2az1WvIhKenp1PBd0BAAJ6envV6/5tribG5c+ditVqZN28e6enpXH/99axZs4Z//OMfEkiLdksy06JOJDMtRN1kZGTw97//nY8++sje9XvUqFH88MMPzZYVLS4urjFYzsjIqLWOgICAascsR0dH4+7uXu/2CdEULBaLvQv7yy+/zDvvvIPBYMBsNjNnzhz+9re/VRugtvZuuh1Za+4+bDKZyMrKqnP2OzMzk6ysrHoPkTAYDE4F3+Xd0MvnI3Amc2y1WsnNza3U7rpcL5+XoSIJpEV7JsG0qBMJpoVwztatW7n33nvZuXMnACEhIaSlpTXKD8KSkhJOnz5dbVfstLS0Wtvn5+dX7ZjlqKgovLy86vfEhWhhsoRS+9Eeh2fYbDZyc3PrnP0uv9S2ykF1NBoNvr6+9iA7KyuLY8eOMXLkSK644grWrFnDli1b6N69O/7+/vbguCFjzzUajX3b8uEVQrRXEkyLOpFgWgjnWa1WPvzwQ/7+979X6jr92GOP8dJLL9lvX/hD0GQykZiYWO2Y5eTk5Fr37eXlZQ+SHQXLvr6+TfGUhWhRMmazfZEll84rKiqqc/a7/FKX+S1qUz4rur+/vz3bXX7d0X0BAQEsWrSIZ555BhcXF0wmk/zfiXZNgul2YP/+/Xz88cf88ssvJCYmopQiPDyccePGcdtttzFw4MAG70OCaSHqLyMjgyeeeIKPP/7Yft9VV13FI488wltvvcWKFSsYMGAA3t7exMXFkZSUVGtGwMPDo9oxy9HR0fj5+XXIsZWi42rN3YGFaAlms7lSN+yKwfdTTz2F1WpFp9PxwgsvOAyK/fz8nJ4oTXqGiA5HiTbLYrGop59+Wmm1WgUoV1dXNWTIEDVs2DDl6uqqAKXRaNTjjz+uzGZzg/ZVUFCgAAWogoKCRnoGQnQsmzdvVoMGDbL/L9V0cXNzU71791aTJk1S99xzj3r55ZfV8uXL1bZt29TZs2eVzWZr6acjRKuxYMECBagFCxY0Sjkh2rPy/wMXF5dG/X+o7v9L/u9Eeyazebdh99xzDx9++CEAU6dO5f3337fPqpqWlsbdd9/NihUreOmll0hLS2Px4sUt2VwhOryLLrqI7du388EHHzB79mygbGzZHXfcUSXDHBwcLJllIepIZmsXom6qyxyD41m+61tvRXWZTVyINqulo3lRP++//749gzVixAhlMpmqlDGZTGrEiBH2cu+8806992ez2VRBQYEqKCiQjJgQDdRUWQEhhBCiOk2VOZaeIaIjk7Ug2qCCggKefvpp++3XX38dg8FQpZzBYOD111+33543bx55eXn12qdGo8HDwwMPDw/JlgnRABXP3peWlrJgwQLmzZvHwoULW7ppQggh2qnaMscN+S5ypmfIggULpGeIaF9aOpoXznv55Zft2eaePXvWWr5Xr1728i+88EIztFAI4YiMJxNCCNHcJHMsRNORMdNt0LJly+zXp0yZUmv5KVOmcOTIEfu2TzzxRJO1TQjhmIwnE0II0RJkTgEhmo4E021MUlISO3futN8eOnRordtULLNnzx4SEhKIiopqkvYJIaqqy9IgElALIYRoCs6svS3fPUI4R4LpNmbHjh2Vbvfp06fWbWJjYyvd3rlzpwTTQjQjyQoIIYQQQrQ/Eky3MYcOHap0OywsrNZtQkNDq9Rx7bXXVlu+sLCw2sc8PDxq3Z8QojLJCgghhBBCtD8STLcxJ0+etF83GAwEBATUuo2fnx9Go5HS0tIqdTji6elZ7WNKqTq2VAghhBBCCCHaL1kaq42puLSVu7t7nberWLa+y2MJIYQQQgghhCgjmek2Jj8/337daDTWeTtXV1eHdThSUFDgfMOEEEIIIYQQogORYLqNMZvN9ut6fd3fvoplK9bhiIyLFkIIIYQQQoiaSTfvNqZioFs+BrouSkpKHNYhhBBCCCGEEMJ5Eky3MV5eXvbrFQPk2lQMvCvWIYQQQgghhBDCeRJMtzHBwcH260VFRZhMplq3sVgslcZBV6xDCCGEEEIIIYTzJJhuY3r37m2/rpQiJSWl1m1SUlKw2WwO6xBCCCGEEEII4TwJptuY2NjYSrfj4+Nr3SYhIaHS7b59+zZmk4QQQgghhBCiw5Fguo0ZOnQovr6+9tu7d++udZsdO3bYr3t5eTFixIimaJoQQgghhBBCdBgSTLcxBoOBq6++2n5706ZNtW5TsczVV1+Ni4tLk7RNCCGEEEIIIToKjVJKtXQjhHM2bdrE6NGjAXBzcyM9PR1PT0+HZQsKCggODqa4uBiAdevWcdlllzVXU4UQQgghhBCiXZLMdBs0atQoJk2aBEBxcTFvvvlmtWXfeOMNeyA9YcIECaSFEEIIIYQQohFIZrqNSkhIYPjw4aSnp+Pm5sZPP/1kz1aX27RpE1deeSVFRUUEBgaybds2YmJiWqjFQgghhBBCCNF+SDDdhm3ZsoUpU6aQkZGBq6sr99xzD+PHj0ej0fDLL7/w7rvvUlxcjL+/P99++y2jRo1q6SYLIYQQQgghRLsgwXQbl5yczP3338+KFSuwWCyVHtPpdEyePJlFixYRERHRQi0UQgghhBBCiPZHgul2Ii0tjY0bN5KYmAhAeHg4o0ePJjQ0tIVbJoQQQgghhBDtjwTTQgghhBBCCCGEk2Q2byGEEEIIIYQQwkkSTAshhBBCCCGEEE6SYFoIIYQQQgghhHCSBNNCCCGEEEIIIYSTJJgWQgghhBBCCCGcJMG0EEIIIYQQQgjhJAmmhRBCCCGEEEIIJ0kwLYQQQgghhBBCOEmCaSGEEEIIIYQQwkkSTAshhBBCCCGEEE6SYFoIIYQQQgghhHCSBNNCCCGEEEIIIYSTJJgWQgghhBBCCCGcJMG0EEIIIYQQQgjhJAmmhRBCCCGEEEIIJ0kwLYQQQgghhBBCOEmCaSGEEEIIIYQQwkkSTAshhBBCCCGEEE6SYFoIIYQQQgghhHCSBNNCCCGEEEIIIYSTJJgWQgghhBBCCCGcpG/pBgjRXJRSFBUVtXQzhBBCCCGEaHbu7u5oNJqWbka7IsG06DCKiorw9PRs6WYIIYQQQgjR7AoKCvDw8GjpZrQr0s1bNJvCwkI0Gg0ajYbCwsJm2b6h+xRCCCGEEEIIRyQzLToMd3d3CgoKqn28sLCQkJAQANLS0qo9c1dbuYY+3ha0xHNoin02tM76bO/MNs1xTLaH4xHkmGzI9o19TDa0jByTrWef7eF4rEs5+d5uO/tsD8dkS35Guru717msqBsJpkWHodFo6vyB4+HhUaeytZVr6ONtQUs8h6bYZ0PrrM/2zmzTHMdkezgeQY7Jhmzf2MdkQ8vIMdl69tkejse6lJPv7bazz/ZwTMpnZNsn3byFEEIIIYQQQggnaZRSqqUbIURHUlhYaJ8ITSaCEC1NjkfR2sgxKVobOSZFayLHY+simWkhhBBCCCGEEMJJEkwLIYQQQgghhBBOkm7eQgghhBBCCCGEkyQzLYQQQgghhBBCOEmCaSGEEEIIIYQQwkkSTAvRhplMJpYvX86NN95I165dcXV1xcPDgx49enDHHXewd+/elm6i6EBKSkpYsWIF99xzD0OGDMHX1xe9Xo+fnx8jRoxg4cKFZGdnt3QzRQdns9m46KKL0Gg0REdHt3RzRAcTHx+PRqOp9bJ69eqWbqroYPbt28c999xD9+7d8fDwwMfHh169evHnP/+Zf/3rXy3dvFZLgmkh2qiEhASio6O54YYb2LVrF08++SS//vorX3/9NVdddRWffPIJQ4YM4Y033mjppooOYvbs2UyfPp0vv/ySKVOm8NVXX7F582bee+89tFot8+bNIzY2lqNHj7Z0U0UH9uabb7J169aWbobo4Nzd3fHw8Kj2otfrW7qJogN54YUXGDJkCMnJybz88sts3LiRL7/8kr59+7Js2TLmzJnT0k1stWQCMiHaqD179jBo0CC6d+/O7t27q6wz+Mknn3DbbbcBsGbNGq644oqWaKboQGbOnMlnn33GH3/8wUUXXVTpMbPZzMiRI9m5cydXXHEFa9asaaFWio7s1KlT9OvXD61WS0FBAVFRUcTHx7d0s0QHEh8fT0xMDHFxcdIzQrQKb7/9Nvfddx9z585lwYIFVR6fNGkSP//8MxaLpQVa1/pJZlqIOlBK8eabb+Lm5oZGo2HmzJkt3SS7Rx55pEogDTBr1iy6dOkCwKJFi5q7WaIJtdbjMTIykj/96U9VAmkAg8HA9ddfD8Dvv//e3E0TAoA777yToKAg7rrrrpZuimhirfVzUnRMrfV4TExM5PHHH6d79+7Mnz/fYZlXX32VDz74oJlb1nZIMC1ELU6fPs3ll1/Ogw8+SElJSaPVu3//fh544AH69euHr68vPj4+9O3bl/vuu489e/bUun1ISAiPP/44kyZNcvi4RqMhNjYWKBsHI9qH1no8AixYsID//ve/1T5uNBqBsmNXtC+t9YdiRR999BG//PIL//rXv/D09Gzp5ogm1Jo/J0XH05qPx3feeYeioiJuuukmdDqdwzJ9+/bl1ltvbbR2tztKCFGtTz/9VHl7eyug0mXGjBn1rtNisainn35aabVaBShXV1c1ZMgQNWzYMOXq6qoApdFo1OOPP67MZnOD2j9t2jQFqL59+zaoHtE6tOXj0Wq1qksuuUQB6plnnql3PaL1SUhIUGPHjm20Y7Lcvn371P33369iY2OVj4+P8vb2Vn369FFz5sxRu3fvdqqupKQk5ePjo2655RallFLz589XgIqKimpwO0Xr0to/J+Pi4hSg4uLi6t0e0Xa09uMxOjpaAer777+vd3s6OgmmhXAgPT1dXXPNNfYPvTvvvFMNGzasUT4E77jjDns9U6dOVSkpKfbHUlNTK+135syZDXoeffr0UYC66667GlSPaFlt+XjMzc1Vv/76q5owYYLSarXqb3/7W4NPEonWo7X/UCw3bdo0FRQUpDIyMpRSEky3R23lc7I8mH733XfV1VdfraKjo5W7u7sKDQ1VV111lfrPf/6jLBZLvdsqWoe2cDympaXZyx08eFD9+OOP6qqrrlJBQUHKw8NDde/eXc2ePVtO/NRCgmkhHLjooosUoEJDQ9UPP/yglFJqzJgxDf4QfP/99+11jBgxQplMpiplTCaTGjFihL3cO++8U699HThwQAFKq9Wqw4cP16sO0Tq0xePxwIED9mAIUAMHDlQbN26sVztF69MWfiiW+/LLLxWgli5dar9Pgun2p618TpYH025ubuqJJ55Q69evVzt27FBLliyxnwAfO3asysnJqVd7RevQFo7HdevW2ctcd911ys3NTT377LNqy5YtauPGjWrOnDlKo9EoLy8vtXbt2nq1tyOQYFoIBwYMGKBuuOEGlZmZab+voR+C+fn5KigoyF7H77//Xm3Z33//3V4uICBA5ebmOr2/GTNmKED9/e9/d3pb0bq0xeOxpKRE7d+/X23ZskX961//Ur169VJarVbdcccdqri42On2italLfxQVEqpjIwMFRwcrCZPnlzpfgmm25+28jmZkpKixo4dq7Zv3+5wf/369bOfSBJtV1s4Hr/++utKPYr++9//VilT/lnp7++v0tLSnG5zRyDBtBAOOPqAauiH4Msvv2zfvmfPnrWW79Wrl738Cy+84NS+Vq5cqQA1evRohz9GRdvS1o9HpZQqLCy0B0DTpk1zenvRurSFH4pKKfWXv/xFeXl5qcTExEr3SzDd/rSHz0mlzn9/A2rLli31qkO0vLZwPP773/+2P967d2+HdRQWFioPDw8FMt9JdWQ2byEcuPjiixu9zmXLltmvT5kypdbyFctU3LY2+/fv5+abb6Z///589913GAwG5xoqWp22fDyWc3d35+WXXwbg22+/5ZdffnG6DtF6vPvuu3z55Zf4+/s3Wp3vvfceZ8+eBaBnz541HvcXX3wxvXr1AiAzM5N33323Spkff/yRzz//nJdeeonw8PBGa6dondrD5yTA+PHj7bMq//DDD/WqQ7S8tnA8urq62q+PGjXKYR3u7u4MHToUgJ9//rnObe1IJJgWohkkJSWxc+dO++3yD6aaVCyzZ88eEhISat3m8OHDXHHFFYSFhfHTTz/h6+tbr/aK9q25jscLXXLJJfYvb/mR2La19h+K+fn53HXXXYwaNYq777678RopOoyW+px0dXUlKCgIgPj4eKe3F+1TUxyPFU+GBgcHV1tPWFgYULYmtahKgmkhmsGOHTsq3e7Tp0+t25SvEV2u4oeoI4cOHWLs2LEEBASwfv16OnXq5HxDRYfQHMejIzqdjoCAAABSUlKc3l60X439Q3Hnzp0kJibyxx9/YDAY0Ov1lS4LFiwAICEhodL9GzZsaMRnJdqylvqcBFBK1Ws70X41xfFYsQ6r1VptPXI81kyCaSGawaFDhyrdLj/LV5PQ0NAa66jo4MGDjB07lsDAQNatW0dISIj9sZKSEuLj47FYLE62WrRXTXE8JiUl0a1bN3777bdq61BKkZeXB4C3t3ddmys6gMb+oThs2DD279/P3r172bNnT5VLebY6LCys0v11CeJFx9BU39t33nknixcvrraO4uJiMjIyAIiKiqpLU0UH0BTHY6dOnejevTtQc9Y5OTkZgOjo6Lo0tcORYFqIZnDy5En7dYPBYM/O1cTPzw+j0eiwjooOHDjA2LFjCQkJYd26dVW66mzZsoWYmBjOnDlTz9aL9qYpjkez2czJkyfZunVrtXXs2LGD/Px8AC666CJnmy3ascb+oejh4UFsbGy1l/LPSYPBUOl+Dw+PRng2oj1oqu/tNWvW8M0331Rbx9q1a+1ZwkmTJjnTZNGONdXxeMsttwCwYcMGhxnooqIi+4nKq6++2ul2dwQSTAvRDMqzcVA2mUNdVSxbsY5y+/btY+zYsYSGhvLrr7/ax1kJUZOmOh4B3nrrLdLT06vcX1paysMPPwxAeHg4119/fZ33K9q/pjzhKER9NOXn5A8//MD27dur3J+fn8/f//53oCyQHjlyZJ33K9q3pjoeH3zwQTp37syZM2f46KOPqjz+8ssvU1hYSHh4uMw/UQ19SzdAiI6gPBsHVPrxV5uKMy1WrAPgxIkTjBs3jszMTPLz86vtflPTOBjRMTXF8eji4oLRaCQxMZG+ffvy8MMPM2TIEAICAjh48CCvv/46e/bsoXPnzqxatcqpHwOi/WvID8XS0tIqdTiSk5Nj76FTfsLHbDZz4MABoCybHRMT41S7RfvVFJ+TUDbExWq1MnbsWB566CFGjx6Nv78/Bw4c4KWXXuLw4cNccskl/Oc//2nYExDtSlMdj56ennz//feMHz+ee++9l4SEBCZPnozFYmHZsmW888479u9tGZ7lmATTQjQDs9lsv67X1/3frmLZinVAWffuzMxMoCzrV/6DUojaNMXxGBYWxpkzZ1i+fDlr1qzhgw8+IDU1FbPZjK+vL3379uWVV17hzjvvlC9kUUVT/VCsaMWKFcyaNavSfcnJyfTr1w+AMWPGsH79+jrvW7RvTfE5CbB9+3ZWrlzJqlWr+Oqrr3j99dcpLS3F39+fwYMH88QTT3DTTTc5tU/R/jXV8QgwYMAADh06xMsvv2w/JrVaLd27d2fu3Lncf//9jboMYnsj/6lCNIOK4/CcCXpLSkoc1gFwzTXXyAyLol6a4ngECAwMZPbs2cyePbthDRQdTlP+UCw3c+ZMZs6c6XTbRMfUVJ+TRqOR6667juuuu65hDRQdSlMdj+WCgoJ45ZVXeOWVV+rXwA5MxkwL0Qy8vLzs1yt+sNWm4gdmxTqEaAg5HkVr09Q/FIVwlnxOitZEjsfWS4JpIZpBxRm2i4qKMJlMtW5jsVgoKChwWIcQDSHHo2ht5IeiaG3kc1K0JnI8tl4STAvRDHr37m2/rpQiJSWl1m1SUlKw2WwO6xCiIeR4FK2N/FAUrY18TorWRI7H1kuCaSGaQWxsbKXb8fHxtW6TkJBQ6Xbfvn0bs0miA5PjUbQ28kNRtDbyOSlaEzkeWy8JpoVoBkOHDsXX19d+e/fu3bVus2PHDvt1Ly8vRowY0RRNEx2QHI+itZEfiqK1kc9J0ZrI8dh6STAtRDMwGAxcffXV9tubNm2qdZuKZa6++mpcXFyapG2i45HjUbQ28kNRtDbyOSlaEzkeWy8JpoVoJnfffbf9+g8//FBprN+FCgoK+OGHH+y377rrriZtm+h45HgUrYn8UBStkXxOitZEjsfWSYJpIZrJqFGjmDRpEgDFxcW8+eab1ZZ94403KC4uBmDChAlcdtllzdBC0ZHI8ShaG/mhKFob+ZwUrYkcj62TBNNCNKP33nvPPuPs888/z2+//ValzKZNm3jxxRcBCAwM5F//+leztlF0HHI8itZEfiiK1kg+J0VrIsdj66NRSqmWboQQrU1aWhozZsyodN+2bdvIzs4GICwsjH79+lV6fMmSJYSEhNRa95YtW5gyZQoZGRm4urpyzz33MH78eDQaDb/88gvvvvsuxcXF+Pv78+233zJq1KjGe2KiTZLjUbQFl112GRs2bABgxowZfPrpp07XkZCQwPDhw0lPT8fNzY2ffvqJ0aNHVyqzadMmrrzySoqKiggMDGTbtm3ExMQ0xlMQbZh8TorWRI7HjkOCaSEciI+Pd/rHWVxcHNHR0XUqm5yczP3338+KFSuwWCyVHtPpdEyePJlFixYRERHhVBtE+yTHo2ht5IeiaG3kc1K0JnI8dhwSTAvRgtLS0ti4cSOJiYkAhIeHM3r0aEJDQ1u4ZaIjkuNR1JX8UBQdlXxOitZEjseWJ8G0EEIIIVol+aEohBCiNZNgWgghhBBCCCGEcJLM5i2EEEIIIYQQQjhJgmkhhBBCCCGEEMJJEkwLIYQQQgghhBBOkmBaCCGEEEIIIYRwkgTTQgghhBBCCCGEkySYFkIIIYQQQgghnCTBtBBCCCGEEEII4SQJpoUQQgghhBBCCCdJMC2EEEIIIYQQQjhJgmkhhBBCCCGEEMJJEkwLIYQQQgghhBBOkmBaCCGEEEIIIYRwkgTTQgghml1CQgLvvvsuU6dOpU+fPgQGBmIwGPD396dHjx5MmzaNp59+mjVr1lBcXNzSzRUtJDMzk7Fjx+Lr68vzzz/fLPs8deoUgwcPJiAggCVLlrTZfQghhGh6GqWUaulGCCGE6BgSExOZN28en332GTabDYCoqChCQ0Nxc3MjOzubo0ePVgqgjUYjY8eO5cYbb2T69Ol4eXm1VPNFM5s7dy7/+Mc/7LdPnDhB165dm3Sft9xyC59//jlQduxlZ2fj5ubW5vYhhBCi6UlmWgghRLP47rvv6NWrF59++ikuLi7MmzePU6dOER8fz+bNm/n111/ZvXs3eXl5/PLLL1x11VUAlJaWsnr1ambMmMHYsWNb+FmI5mS1Wmu83dT7tNls9pM+jnz66adoNBo0Gg2XXXZZk+xDCCFE6yXBtBBCiCb3wQcfMH36dIqKioiIiGDPnj08++yzxMTEVCmr1+sZN24c33//PW+//TYajcb+mMViac5mixb2wAMPMHr0aLy8vJg7dy49evRo8n0+88wz9O/fHz8/PxYtWoSHh0eb3IcQQoimp2/pBgghhGjfNmzYwOzZs7HZbHh5ebFmzRp69uxZp23vvfdekpKSeOGFF5q4laI1Cg4OZuPGjc26zx49erB37942vw8hhBBNTzLTQgghmkxWVhY33nijvVvrk08+Sa9evZyqY/78+YSEhDRF84QQQggh6k2CaSGEEE3mrbfeIiUlBQBvb28eeOABp+swGo3cdtttjdwyIYQQQoiGkW7eQgghmkRhYSFvv/22/faUKVPqPWPxpEmTnF4a6dSpU2zevJm0tDQsFgshISEMHjyYfv361asNzjhx4gR79+7l9OnTFBUV4e3tTWRkJCNHjiQ4OLje9WZnZ7NhwwbOnDlDXl4eXl5eREREMGjQIKKiopyq6+TJk/z222+kpqbi4+NDdHQ048aNw2g01rt9rUFJSQlbt27l0KFDZGdn4+LiQqdOnRg4cCB9+/atNAa/LcrKyrIfAwUFBQQGBtKzZ08uvvhi9PqG/6xLSEhg06ZNJCYm4uHhQf/+/bn44osxGAx1rkMpxZ49e9izZw9nz57FZrMREBBAbGwsgwYNwtXVtcHtFEKIVkEJIYQQTeDbb79VgP3y+eefN6i+4uJiVVpaWmu577//Xg0cOLDSviteYmJi1JIlS5TVam1Qey505MgR9dBDD6moqKhq963RaNSUKVPUoUOHnK772muvVTqdrtq6u3Xrph599FF14sSJGus6evSouvzyyx3W4e/vr15//XWllFLz5893WGbGjBlKKaXeeOMNh4/Pnz+/yj5TUlIclh0zZozDNo4ZM8Zh+cWLF1f7vIqLi9XcuXOVr69vta9RUFCQmjVrltq4cWOV7at739atW1epXFxcXLX11/R6ObMPRw4cOKCmTJmitFqtwzp8fHzUvHnzVH5+frV1+Pj4ONw2Li5OFRYWqhkzZjg8xrp06aI2bNhQaxuVUurf//636tKlS7Wvh7u7u5o8ebJatmxZnf6fhRCiNZPMtBBCiCaxbt26SrdjY2MbVF9t2SybzcaDDz7IW2+9BUCnTp2YPXs2w4YNQ6/Xs3//fv71r39x7NgxZsyYwYoVK/jPf/7TaOv73n///fz0008AREZGctddd9G3b1/8/f1JS0tj3bp1LFmyhJUrV/Lrr7+yYsUKxo8fX2u9y5cv569//SulpaUYDAZuv/12rrzySgIDA8nIyGD9+vV8/PHHnDhxgldeeYVXX32VAwcO0KdPnyp1bdmyhQkTJpCfnw/AqFGjuPXWW+nSpQvZ2dmsXr2axx57jBMnThAUFGTfLiwszJ7RL/8bHR3NlVdeCcD+/ftJTk6u9jkYjUZ72aSkJA4cOFDjcx4+fLj9/d62bRvZ2dk1li8tLWXixIls2LABKOvJ8H//939ERERQWlrK0aNHeffddzl58iSLFy9m8eLFxMXFER0dba9jzJgxpKWlAWWT5pWUlDjcl5ubm8Pn4ufnx/Dhw6uUr9gToq77uNDSpUuZOXMmJpMJFxcXbr/9diZMmICvry9xcXF89tlnrFu3jgULFrB8+XJWr17tsKfCn/70JwoLCwFYtmxZpddv3LhxbNu2jcGDBxMZGUlmZiZbtmzBZDJx6tQprrzySnbu3OnwuCr35JNP8uKLL9qf92233Ua3bt1wdXXl1KlTLF26lHXr1rFq1SpWrVrF4sWLmTlzZp1eAyGEaJVaOpoXQgjRPl100UWVMlLFxcVNur+HH37Yvq/+/furs2fPVilTVFSkJk6caC93zTXXNNr+r7zySgWo0aNHq6KiIodljh8/rjp37qwA5evrq1JSUmqsc9WqVUqj0ShAeXp6qq1btzosd+zYMRUaGmp/Xrt3765SJiUlRfn7+9vL3Hfffcpms1Upt3HjRuXu7q4GDRrkMLvqyIwZM2rMTFe0ePHiWjPTFVXMUleXmX7++eftZZ5++mmHZUwmk/rLX/5SKRtbnYoZ5Jqyxs4+l/rs47vvvrMfA15eXmrHjh0Oy82bN89eX3R0tMrOzq5x/xX/N2+++WbVpUuXKsdNfHy86tGjR53+X/744w97ubFjxyqz2eyw3HvvvVenngZCCNEWyARkQgghmkR5Bg7A3d29ScdJ/vrrr7z++usA6HQ6li1bRmBgYJVybm5ufPHFF/j6+gKwYsUKPvroo0Zty7vvvltttrtbt268+uqrAOTk5PDGG29UW09mZiYzZsxAKQXA66+/7jDzCdC9e3cWLVpUY7seeughsrKyAOjduzdvvPGGw/HDo0ePZv78+ezevbvG+lqTzz//3H79nnvucVjGYDDwzjvvNFpPhOaQkZHBzJkzKx0DQ4YMcVj22WefZcyYMQDEx8czZ86cOu9n+fLlrFy5koEDB1a6Pyoqitdee81++/vvv7dnti9U8T24/fbbqx2/fffdd3PxxRfXuW1CCNGaSTAthBCiSWRmZtqve3p6Num+FixYYA84pk2bVuPyW35+ftx+++32288995x96a6GeO6551i7dm2t3dknTpxov/7dd99VW+7tt9+2v4bBwcHMmjWrxnqvueaaaic3S05O5r///a/99v33349Op6u2rrvvvrtNTUR28uRJ+/Wanpe3tzdjxowhJCSkxnKtxdtvv20/ARIcHFxrl+hHH33Ufn3p0qUcP368Tvu59tprq+2+fcUVV+Di4gKA2Wyutot+Xd8DKPsfCAkJaVMnNoQQwhEJpoUQQjSJ4uJi+/XyH+NNISEhwT5WFmDy5Mm1bjNlyhT79fj4eNavX9/gdgwZMoTLL7+81nLlWXGAI0eOUFpa6rDcp59+ar8+ceLEWmdq1ul03HrrrYwZM6bKyYv//e9/WCwW++1JkybVWJe3tzcjRoyosUxr4u7ubr9eMZPqyI8//khqaioRERFN3awGW7Jkif16XY6B8ePH2wNUm83GZ599Vqf9XHXVVdU+ZjQaiYyMtN+ubmx8xfdg0aJFmM3mauucO3cuqamp3HDDDXVqnxBCtFYSTAshhGgSAQEB9usFBQVNtp+NGzdWut2/f/9at7mwzIV1NERBQQHLli3jscce46abbmLy5MlMnDix0qWi8sxjRadPnyY+Pr7a9lbnhRdeYP369XTr1q3S/Vu2bLFf9/HxqRQcVad379512mdrUD4hGMArr7zC5MmT2bBhg723QluUmJjo9DFgNBrp0aOH/XZdj+va3mt/f3/79er+lyu+B7///juDBg1i6dKl1Z4sEkKI9kBm8xZCCNEkAgMDSU1NBZo2mD569Gil23UJFH19ffHy8rLPan3s2LFKj9fUTRxg+vTpvPDCC5XuM5lMPP/887z66qvVjit1xFGwceFzcnYN6QudOHHCfj08PLxO21TMoLd2L774IuvXr7cfb99//z3ff/89ERERTJs2jalTpzJmzJgm7SHR2OpzXJeX27t3L1D1uK5Obe91xfkOqhsSceutt7J06VJ7L5GDBw9y00034e3tzVVXXcXUqVOZNGlSmzquhBCiNpKZFkII0SS6d+9uv26xWEhJSWmS/VQcmw11H59dsdyFdRw9erTGy4XPxWKxMH36dJ599lkKCwvx8vLixRdf5MiRIxQXF6OUqnSpzYXZag8Pjzo9p+rk5OQ4XVdTThjX2KKioti+fTvXXnttpUnVEhMTefvtt5kwYQKdOnXi3nvvrTS2tzVriuO6OgaDocbHHU1U56iO1atX8/jjj1caC52Xl8eXX37JTTfdREhICNOnT2/UniBCCNGSJJgWQgjRJMaNG1fp9sGDB1uoJU3vnXfe4YcffgBAr9fzyy+/8Pjjj9OzZ89GCUrrEsy0RF2tSXh4OF9//TVHjhzh6aefrtTdGSA7O5t3332Xvn371jiLuqg/V1dXXnzxRU6fPs1bb73FJZdcUul4M5lMrFixgjFjxvDXv/61zutsCyFEayXBtBBCiCYxYcKESre3bdvWJPupODYb6t6lvGK5C+u4MJN84aXi5GAA7733nv369OnTGTZsmJPPorL6PqfqVOxaW9e6mmqsa1OPoe3RowcLFy7k6NGj7N27lyeeeILQ0NBK+3/ooYeqvIetTVMc180lMDCQ++67j02bNnHmzBlef/11BgwYUKnMv//9b+6+++4WaZ8QQjQWCaaFEEI0iR49elSabOvrr7+ud11PPfUUkydPZvLkyfzyyy+VHuvZs2el26dPn661vpycHPt46fK21ldhYWGl8a0jR46sd13l6vOcalJxQrLExMQ6bZOdnV3n+isuhVRbsOxMvQ3Vv39/XnjhBRISEnjzzTcrjZl+9tlnm60d9VHfY6BiuYYc140lLCyMBx98kD179vDDDz/QuXNn+2OfffZZpUnWhBCirZFgWgghRJOpGLDs2rWLnTt3Ol1HWloar7zyCt9//z1r165l0KBBlR6/9NJLK93et29frXVeWGbMmDFOt6tcbm5updteXl41lq9LZjYiIoKYmBj77bo8JyhbAutf//qXvct5uYoBfl5eXp0CsyNHjtRpn1B5HLaj2ckrOnToUJ3rrastW7awe/fuah83GAzcf//9LFiwwH5ffHw8GRkZjd6WxhIREUF0dLT9dl2OgdLS0kqTjjXkuHbWoUOH2LJlS43H96RJkyqdVFNKsWPHjuZonhBCNAkJpoUQQjSZ4cOHM2fOHPvthx9+2Ok6FixYYF+zds6cOZWW6YGyyacuu+wy++1Vq1bVWufKlSvt16OjoxsUdPj7+1caF5qUlFRj+brOsDxz5kz79dWrV1c7i3K5oqIi/vrXv3LPPfdUWgoL4Nprr620RvGPP/5YY135+fls3bq1Tu2EsuxjuQtnoa7IYrGwevXqOtdbVyNHjqwyRt+RC9dTbuj48Yqvqc1mq/L41q1bWb16db0nPbvwGKi4Vrgja9euta/vrtVqueWWW+q13/qYPXs2I0eO5PDhwzWWGzFiRKX/4fY6hl8I0TFIMC2EEKJJvfHGG/ZgdcOGDTz++ON13vbrr7+2j0eOiYlh3rx5DsvNmzfP/qP822+/rTGgy87O5qOPPrLffuqppyp1U3aWq6srgwcPtt9esWJFjeWXLFlSp3rnzJlDYGAgUJad/+yzz2os/+GHH1JYWIhOp2PWrFmVHgsNDeXPf/6z/fZbb71VY3D+/vvvOzU5VMXnv3Xr1mpnkX777bebLBuck5NjXxKqOhW7mIeGhjZ4TLGfn5/9uqMxzbfeeiuTJk3i22+/rVf9c+bMsbcxPT291nHer7zyiv36jTfeWGlG/eZSvjRWdUpLS+0BP0BsbGxTN0kIIZqOEkIIIZpYVlaWGjt2rAIUoGbNmqWys7OrLW+xWNRrr72m9Hq9AlRAQIA6cOBAjft4+OGH7fX369dPnT17tkqZoqIiNXHiRHu5a665pqFPTSml1KeffmqvE1ALFixwWO7HH3+0P6fyS1xcXLX1fv/990qj0ShAeXt7qx07djgst2nTJuXp6akA9cADDzgsk5aWpgIDA+37ve+++5TNZqtS7vfff1fu7u6qa9eu9rIzZsyo8fmbTCYVEBBgLz916tRK76/ValUffvihcnFxUbfddpu93JgxY2qsVymlxowZYy+/ePFih2XKHx81apQqKCioto1XXnllre+RUkpFRUXZy61bt67acgkJCfZyXl5eymQy2R9LTk5WLi4uClA//fRTvffx3Xff2Y8BLy8vtX37dofl5s+fb68vOjq6xv8vpVSdj0Gl6vYelJcJDg5Wx44dq7auBQsW2OsaN25cjfsVQscxDEUAAAWwSURBVIjWTqNUHRa8FEIIIRrIYrHw2GOPsWjRIiwWCz4+PlxzzTWMHTuW0NBQXF1dSU9PZ8eOHXz55ZckJCQAMHDgQL766iu6du1aY/02m40HH3yQt956C4BOnToxe/Zshg8fjl6vZ//+/bz33nv2btbXXHMNX3zxRaU1cetLKcWNN97IsmXL7PddeeWV3HLLLURGRpKdnc3KlSv59NNPufPOO3n33Xft5S699FLc3NwICQlxmLVevnw5f/3rXyktLcXFxYXbbruNCRMmEBAQQHp6Oj/++CNLlizBYrEwceJEVqxYgdFodNjObdu2ccUVV5CXlwfAqFGjuP3224mOjiYnJ4fVq1fz8ccfM336dHr37m0f8z5jxoxas6Iffvghd955p/22m5sbAwcOxMXFhcOHD5Oens6TTz5Jjx497JlzPz8/hg8fDsDFF19s73nw2GOP2ccIb9u2zZ5Rjo2NtU9g9fLLL9O/f3+gclfhyMhIbr31VoYOHYqPjw8ZGRkcOXKEDz/8kFOnTgFw9dVX87///a/ShGQzZswgLS0NKMuulmfmhw0bZu+WvGTJEkJCQio978suu8yejb3xxhuZOXMm+fn5vPTSS2zfvp2YmBiOHj2KwWCo9z6++OILZs2ahclkwsXFhTvuuIMJEybg4+NDfHw8n332Gb/++isAvXr14scff6w03rpcxdf1p59+st/v6Bj8+eefee211+r8HowdO5b169cDZWPoZ82axZgxY+jUqRP5+fkkJCTw+eef8/vvvwPQtWtXfv31VyIjI6u0Uwgh2owWDuaFEEJ0MMePH1czZsxQfn5+lbJjF16GDRumPv74Y2W1Wp2qf9WqVWrgwIHV1hsTE6MWL17sdL21sVqt6rnnnlM+Pj4O9xscHKw+/PBDpZRy+HhUVFS1dR8+fFhNnz5d6XQ6h9sGBgaqF154QZnN5lrbeezYMTV+/HiH9Xh6eqpnnnlGWa3WSpnO2jLT5d566y3l5eVVpV4fHx/1+uuvK6WUWrx4scN9T5s2zV5PxUxodZeK2dz9+/erv/3tbyoyMrLGbcLDw9Wbb77p8HWqmCmu7uIog3vq1CkVGxvrsHzXrl3V3r17G7wPpZQ6cOCAmjp1qtJqtQ638/HxUU8//bTKy8ur9v2p7XWteAxW9z5V9x6kpqaq559/Xg0YMKDGbby8vNR9992nsrKyqm2nEEK0FZKZFkII0SKsVivbt2/nxIkTpKWlUVpaio+PD9HR0QwePLjS2sD1cerUKf744w9SU1Ox2WwEBwczePBgeyatqRQWFrJp0yYOHz5MYWEh/v7+9O3bl4svvrjShFX1kZ2dzfr160lMTCQ/Px8fHx9iY2MZOXJktdno6pw8eZKNGzeSlpaGl5cXUVFRXH755fZM/TPPPONUZrpcXl4e69at48SJEyil6NKlC+PHj8fb29up9tXX8ePH2b9/P2fOnCE/Px+DwUBQUBADBgxg4MCBaLWNP12MUopNmzaxZ88ecnNz8fT0pF+/flx22WUNGo/vSGZmJhs2bODMmTMUFBQQEBBAr169uPjiizEYDI26r/pKTU1l7969nDx5kpycHDQaDX5+fvTu3Zvhw4c3Sm8QIYRoDSSYFkIIIUQV9Q2mhRBCiI5CZvMWQgghhBBCCCGcJMG0EEIIIYQQQgjhJAmmhRBCCCGEEEIIJ8mYaSGEEEIAlZdDOnHiBCdPngQgLCyMfv36AXDFFVfw8MMPt1gbhRBCiNaiYdOKCiGEEKLdSEpKqrT+cLnk5GSSk5OBsvW7hRBCCCGZaSGEEEIIIYQQwmkyZloIIYQQQgghhHCSBNNCCCGEEEIIIYSTJJgWQgghhBBCCCGcJMG0EEIIIYQQQgjhJAmmhRBCCCGEEEIIJ0kwLYQQQgghhBBCOEmCaSGEEEIIIYQQwkkSTAshhBBCCCGEEE76f5pwO7FTVrlLAAAAAElFTkSuQmCC",
"text/plain": [
- "<Figure size 750x463.5 with 1 Axes>"
+ "<Figure size 1000x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_data_lims: (20, 848304)\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- "<Figure size 750x463.5 with 1 Axes>"
+ "<Figure size 1000x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_data_lims: (500, 848304)\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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I5XKsXLkSMhn/OtqquFsk+jKZgGnDanr1fzkWD1FseAk+IiIiIiL6m73UAZBxdezYETt27MDUqVORm5uLiRMn4sknn8SECRMgCAIOHjyIL7/8EhUVFfDx8cH27dvRqVOnW7Z3c2J1q0TL3d0dcrkclZWV0Gg0mDdvHlavXo377rsPPXr0gIuLC3Jzc/Hnn39izZo1KCwsBAB4eXlh/fr1GDVqlNH+DMiyaDRaxKcVAABCb0r0AWDSwCB8t+8CrmUVI/pqDvoE+5o7RCIiIiIiiyKI7CKzSunp6Xjuuefwyy+/oLq67txmOzs73H333VixYgUCAgJu286FCxcwePBg/TD/9evXY86cOQ0em52djTVr1mD79u04derUbXtfFQoFHnroISxatKjFRfjKysrg5uYGoKb2gKura4vaI/NKTC/EE//bDxdHe2xffA9kMqHeMcu3n8HuE1cxqqcf3pw9XIIoiYiIWq64uBienp4oKiqCh4eH1OEQ0U2s6R5lom/lsrKyEBkZiZSUFACAv78/Ro0a1aTkOjY2Fnv27MGAAQMwZswYg87Jz89HTEwMEhISUFBQAJVKBTc3NyiVSvTu3Rvdu3eHvb1xBpQw0bdse05exbKfz6BfiC8+fqzhv19JmUV4fPk+yGQCNrw8Gb5eLmaOkoiIqOWsKYkgskbWdI9y6L6Va9u2Le67774WtREWFoawsLAmnePj44MxY8YY/GCAbNfl5Jr5+aH+9Yft63Rq54k+ndvg/NUc7PwrEY9O6mWu8IiIiIiILA6rnxGRpOJSaxL9bg3Mz69Nt9Teb6euorJKY/K4iIiIiIgsFRN9IpJMhboa17OKADRciK+24d06oI2nM4rKKnEoOsUc4RERERERWSQm+kQkmStpBdCKQBtPZyg8nG97rJ2dDFOHBgMAfjmWwKX2iIiIiIhugYk+EUkmLqVm2H5YI735OuGDOsPBXob4tAJcvnEuERERERHVxUSfiCQTe2N+fmPD9nW83BwxtnfNkpA7jiWYLC4iIiIiIkvGRJ+IJBObnAcACLtNxf2b3TO8CwAgMiYF+SUqk8RFRERERGTJmOgTkSTyiiuQU1QBmQB0bUKi39XfG90DFajWiNh94qoJIyQiIiIiskxM9IlIEnGpBQCAQF8PODvaN+lc3VJ7u04koqpaa/TYiIiIiIgsGRN9IpJEbMqNYfsGzs+vbVRPf/i4OyG/RIWjF9OMHRoRERERkUVjok9EktBV3De0EF9tDvYyTBncGQDwy7F4o8ZFRERERGTpmOgTkdlptaJ+6H5YgKJZbUwe0hl2MgEXr+chIa3AmOEREREREVk0JvpEZHapuSUoU1XB0cEOQW09mtWG0sMZo3r5AwB2HOdSe0REREREOkz0icjsdMP2Qzp4wd6u+b+Gpg+rKcr3x7lkFJepjRIbEREREZGlY6JPRGYXm1qT6Dd32L5Oj44KhHTwQmW1FntOJRkjNCIiIiIii8dEn4jMLjZFl+g3vRBfbYIg6Jfa2/lXIjRascWxERERERFZOib6RGRWlVUaXM0oBNC8ivs3G9cnEB4ucmQXluOvy+ktbo+IiIiIyNIx0Scis0rMKES1RoSXqyPaebu0uD1HBzuED+oEAPjlGIvyEREREREx0Scis9IV4gsN8IEgCEZpc+rQYMgE4FxiNq5nFRulTSIiIiIiS8VEn4jMSjc/P9S/5cP2ddp6u2JYtw4AuNQeERERERETfSIyK33F/UDjJfoAMH14FwDA/rPXUKaqMmrbRERERESWhIk+EZlNcXkl0nJLARi3Rx8A+ga3QUdfD6gqNdh7+ppR2yYiIiIisiRM9InIbOJu9OZ3ULjBw0Vu1LZrL7W343gCtFxqj4iIiIhsFBN9IjIbXSG+bkZYVq8hE/p1hKuTA9LzSnE6PtMk1yAiIiIiau2Y6BOR2dSuuG8Kzo72uGtAEABgB5faIyIiIiIbxUSfiMxCFMW/K+6bKNEHgKnDggEAp65k6usBEBERERHZEib6RGQWWQXlKCxTw95OQEh7L5Ndx1/pjkGh7SCKwM6/2KtPRERERLaHiT4RmYWuEF/n9l6QO9iZ9FrTh9UU5fv99DVUqKtNei0iIiIiotaGiT4RmcXl5BvD9o28rF5DBnVthw4KN5SpqnAg6rrJr0dERERE1Jow0Scis9D16Juq4n5tMpmA6Tfm6v96PAGiyKX2iIiIiMh2MNEnIpPTaLSITysAYNpCfLVNHBAEJwc7XMsqxvmrOWa5JhERERFRa8BEn4hMLimrGOoqDVydHOCvdDfLNd2c5ZjQvyMA4BcutUdERERENoSJPhGZXJxuWT1/b8hkgtmuO314TVG+45fSkF1YbrbrEhERERFJiYk+EZlcrC7RN9OwfZ2gtp7o27kNtCKw869Es16biIiIiEgqTPSJyORiU/IAAGFmqLh/s+nDuwAA9py8CnWVxuzXJyIiIiIyNyb6RGRS5eoqXM8uBmD+Hn0AGNatPXy9XFBcXolD51PMfn0iIiIiInNjok9EJhWfVghRBNp4OkPh4Wz269vZyTB1aM1SezuOx3OpPSIiIiKyekz0icik9MP2JejN1wkf1AkO9jLEpxXiUnKeZHEQEREREZkDE30iMqk4iQrx1ebp6ojxfQIBADu41B4RERERWTkm+kRkUrqK+2EBCknj0C21FxmTirziCkljISIiIiIyJSb6RGQyecUVyCmqgEwAuvp5SxpLFz9vdO+ogEYrYveJq5LGQkRERERkSkz0ichkdMP2A3094OxoL3E0wD03evV3n7yKqmqtxNEQEREREZkGE30iMpnY1NYxbF9nZA9/+Lg7Ib9EhT8vpEodDhERERGRSTDRJyKT+Xt+vnSF+GpzsJfh7iGdAQA7jrMoHxERERFZJyb6RGQSWq3YKiru32zy4M6wkwm4dD0P8WkFUodDRERERGR0TPSJyCRSc0tQrq6Go4MdOrX1kDocPYWHM0b38gcA/MKl9oiIiIjICjHRJyKT0A3b7+LnDTu71vWr5p7hXQAAEeeTUVSmljgaIiIiIiLjal3fvonIaugS/VD/1jNsX6dboA+6+HmhqlqL304lSR0OEREREZFRMdEnIpOIu1Fxv1tg60v0BUHA9GE1vfq/Hk+ARsOl9oiIiIjIejDRJyKjq6zS4GpGIYDW2aMPAOP6BMDDRY6cogocv5whdThEREREREbDRJ+IjC4hoxDVGhFero5o6+0idTgNkjvYYfLgG0vtHYuXOBoiIiIiIuNhok9ERqdbVi8swAeCIEgcza1NHRoMmQCcu5qDpMwiqcMhIiIiIjIKJvpEZHS6RD80oHUO29fx9XLB8O5+AGrm6hMRERERWQMm+kRkdJctJNEHgOnDQwAAB85eR2lFpcTREBERERG1HBN9IjKq4vJKpOeVAmi9hfhq69O5DYLaekBVpcHe09ekDoeIiIiIqMWY6BORUemW1fNTusHDRS5xNI0TBEHfq//rXwnQakWJIyIiIiIiahkm+kRkVLHJNwrxWUBvvs4dfTvC1ckB6XllOHUlU+pwiIiIiIhahIk+ERmVrkc/zALm5+s4O9pj0sAgAMCOYyzKR0RERESWjYk+ERmNKIoWU3H/ZlOHhkAQgFNXMpGaWyJ1OEREREREzcZEn4iMJrOgHIVlatjbCQhu7yV1OE3ip3TDoK7tAAC/Hk+UOBoiIiIiouZjok9ERqPrzQ9u7wW5g53E0TTdPcO7AAD2nk5Chbpa4miIiIiIiJqHiT4RGU2shQ7b1xnQpS38lG4oV1fjQNR1qcMhIiIiImoWJvpEZDSxKXkALKvifm0ymYBpQ2uW2ttxLAGiyKX2iIiIiMjyMNEnIqOo1miRkF4IAAgLVEgbTAvcNTAITnI7XM8uxrnEHKnDISIiIiJqMib6RGQU17KKoa7SwNXJAX4KN6nDaTZXJwfc2T8IALDjWLy0wRARERERNQMTfSIyCt2w/VB/b8hkgsTRtMz0YTXD949fTkdWQZnE0RARERERNQ0TfSIyCl3F/bAAyx22r9OxrQf6hfhCKwI7/+JSe0RERERkWZjoE5FRWHrF/ZvpevX3nEqCukojcTRERERERIZjok9ELVaursL17GIANUP3rcHQbh3Q1ssFJeWViDiXLHU4REREREQGY6JPRC0Wn1oAUQTaeDpD4eEsdThGYScTMHVYMADgFy61R0REREQWhIk+EbVYbOqN+fkWvKxeQ8IHdoLcXobEjEJcvJ4ndThERERERAZhok9ELRabfCPR97eO+fk6Hq6OGN83EACw41iCxNEQERERERmGiT4RtVhcqnUV4qtNV5TvzwupyC2ukDgaIiIiIqLGMdEnohbJLa5ATlEFZALQ1c86CvHVFuLnjR4dFdBoRew+cVXqcIiIiIiIGsVEn4haJO7Gsnod23rC2dFe4mhM457hXQAAu08koqpaK3E0RERERES3x0SfiFok9kaiH2pl8/NrG9nTDz7uTigoVePPC6lSh0NEREREdFtM9ImoRXTz87sFWm+ib28nw91DdEvtxUscDRERERHR7THRJ6Jm02pF/dB9a+7RB4ApQzrD3k7A5eR8/cMNIiIiIqLWiIk+ETVbSm4JytXVcHKwQ1BbD6nDMSkfdyeM7hUAgEvtEREREVHrxkSfiJpN15vfxc8bdnbW/+tk+vCapfYORaegsFQtcTRERERERA2z/m/mRGQy+kJ8AdY9bF+nW4APuvp7o6pai99Ocak9IiIiImqdmOgTUbPpEv0wG0n0BUHA9GE1vfo7/0qERsOl9oiIiIio9bHORa+JyOQqqzS4mlEIwHYSfQAY2zsAq/ecR05RBY5dSseoXv5Sh0RERNQqJScnIzc31+DjlUolAgMDTRgRke1gok9EzZKQUQiNVoSXmyN8vVykDsds5A52mDy4M7ZExGLH8QQm+kRERA1ITk5GaFgoVBUqg89xcnZCXGwck30iI2CiT0TNEpt8Y9i+vw8EQZA4GvO6e0gwth6Ow/mrOUjKLEKndp5Sh0RERNSq5ObmQlWhQpsHgiD3dW70+MrsCuRsvYbc3FzJE32ORCBrwESfiJpFt5a8LQ3b1/H1csGI7h3w54U07DiWgH/PHCB1SERERK2S3NcZjn6WM/LPGCMR+KCAWgMm+kTULLZWcf9m04d3wZ8X0nAw6joendQL7i5yqUMiIiKiFmrpSAROWaDWgok+ETVZcZka6XmlAIBQf9tM9Ht3UiKorQeuZRVj75lruHdUV6lDIiIishpS94o3dySCJU9ZIOvCRJ+ImiwutQAA4K90s9mebEEQcM/wLli+/Qx+PZ6AGSO6wE5mW7UKiIiITMEaesUtbcoCWR8m+kTUZLY+bF9nfL9AfPNbNDLyy3D6SiaGhLWXOiQiIiKLx15xopZjok9ETRabkgegpuK+LXOW2+OugZ3w05Er+OVYPBN9IiKiFvrss88wceJEAJbVK/7NN9+gb9++KC4uljoUIgBM9ImoiURR/LvifqBC4mikN21YMH4+egWnr2QhJacEAW3cpQ6JiIjIYm3evBmbN2+WOowmW7lypdQhENXBRJ+ImiSzoBxFZZWwtxPQuT3Xj++gcMPg0PY4EZuBX48n4Olp/aQOiYiIyGJNmjQJhw8fRkVFRYvaMXcxv+nTp0MURSQlJSEmJqbZ7RAZCxN9ImoS3bD94PZekNvbSRxN6zB9eAhOxGZg35lrmHdXT7g4OkgdEhERkUV67733oFKpMGLEiGa30dxifociDuGDDz5o1jXffPNN9O/fH2fPnsWAAQOa1QaRMTHRJ6ImibtRiC8sgMP2dQaEtIW/0g2puaU4cPY6pg0LkTokIiKiVqEy27Ce+drHOTk5teiazS3mN3r0aFRWVrbo2i0l9bKCZD2Y6BNRk7Difn0ymYBpw0Lw5c5z2HE8AVOHBkMQuNQeERHZLqVSCSdnJ+RsvWbwOU7OTlAqlU1KdGv74osv8K9//QuiKAJoejG/yspK9OvXD1FRUc26fku88847+O9//4tRo0dZ9LKC1How0Scig1VrtIhPKwAAhDHRr2PigCCs3XsBydkliErIRv8ubaUOiYiISDKBgYGIi41rVu90cxP9NWvWYM2aNfD392/W+cuXL8fIkSMxcODAZo1EaIlffvkFe/fu5bKCZDRM9InIYNcyi1BZrYWrkwP8FG5Sh9OquDo54M4BHfHr8UTsOJ7ARJ+IiGxeYGCgWRPQcePG4fjx40hNTW3W+aNGjWrRSITamvqgoEePHrh48SIAy1pWkFovJvpEZLDY1L+H7ctkHJp+s2nDQvDr8UT8dTkdmfllaOfjKnVIRERENuPTTz9F165d8fnnn+PVV19tVhstGYmge9+cBwW7du3Cpk2b8Prrrzc1ZKIGMdEnIoPFJt8oxOfPYfsN6ejrgf4hvjibkI2dfyViweTeUodERERksZozfN7NzQ0TJ05sdqIPtGwkQkseFISHhzPRJ6Nhok9EBotLZSG+xkwf3gVnE7Lx26mrmDOhO5zk/DVLRETUFMYaPi8Vc09ZIGoIv4ESkUHK1VW4nl0MgIX4bmdIWHu083ZBZkE5Is6nIHxQJ6lDIiIisigtHT5PREz0ichAV1ILIIqAr5cLfNxbtr6tNbOTCZg6NARf/xaNX47FY9LAIC61R0RE1ETsFSdqGZnUARCRZYhN4bB9Q00a1AlyexmuZhTh4vU8qcMhIiIiIhvDHn0iMkjcjUS/GxP9Rnm4yDG+b0f8fjoJvxyLR8+g1jFnkIiIyJY0p5gfkbVgok9EBtH36LPivkGmDw/B76eT8OeFNOQWVUDp6Sx1SERERDbB0ov5ERkDE30ialRuUQVyiysgE4Auft5Sh2MRQjp4oWeQEheu5WLXiUTMndhT6pCIiIhsgqUX8+NIBDIGJvpE1CjdsnpBbT3h7MhfG4a6Z3gILlzLxe6TV/Hg+G6Q29tJHRIREZFNsMRifhyJQMbEb+xE1CgW4mueET38oPBwQl6xCpExqZjQr6PUIREREVErZekjEah1YaJPRI3SJfphTPSbxN5OhruHBOO7/Rex41gCE30iIiK6LUsciUCtE5fXI6Lb0mpFXEllot9cUwZ3hoOdDLEp+fqVC4iIiIiITImJPhHdVkpOCcrV1XBysENHXw+pw7E43u5OGN3bHwCw43iCxNEQERERkS3g0P2bVFVVYevWrTh58iQEQUDPnj1x3333wcvLS+rQiCShG7bfxc8bdnZ8Ntgc04eF4GBUMg6dT8GCyb3h7eYkdUhEREREZMVsJtHPz8/Hiy++qN/28vLC0qVL6xyTkpKCu+66C3FxcXU+f/3117FlyxaMHz/eLLEStSa6ivthgRy231zdAhUI9fdGXGoB9pxMwkPju0kdEhERERFZMZvpntu4cSPWrVuH7777DuvWrcP3339fZ79Wq8XMmTMRGxsLURTrvHJycjB9+nRcuXJFouiJpBObkgcACPVnot8S04d3AQDs+isRGo1W4miIiIiIyJrZTKKvS+xdXV3x2muvYePGjXX2b968GWfOnIEgCACAtm3bYubMmRg3bhzs7OxQXl6OV155xexxE0lJXaXB1YwiACzE11JjevvDy9URucUVOHopXepwiIiIiMiK2cTQ/YKCApw8eRL29vaIiIjAgAED6h3z5Zdf6t+PHDkSu3btgodHTeGxQ4cOYeLEidi9ezfy8/Ph48OEh2xDYnohNFoR3m6O8PVykTociya3t8PkwZ2xOeIyfjkWj9G9/KUOiYiIiIislE306J85cwZarRYPP/xwg0l+cnIy/vrrLwCAIAj4+uuv9Uk+AIwdOxYzZ86ERqPBiRMnzBY3kdR0hfhCA3z0o12o+e4e2hkymYCYpFxczSiUOhwiIiIislI2kehfuXIFgiBg3LhxDe7fuXMngJok/6677kJoaGi9Y6ZMmQJRFJGYmGjSWIlaE938/DDOzzeKNp4uGNHDDwCX2iMiIiIi07GJRL+wsBAAEBAQ0OD+X3/9Vf/+4YcfbvAYf/+aYbYlJSXGDY6oFfu74r5C4kisxz3DQgAAB6OSUVxeKXE0RERERGSNbCLRd3Z2BlCzxN7N8vLyEBERAQBwcnLC1KlTG2zDzs4OAODg4GCiKIlal+IyNdLzygAAXf28JY7GevTqpESndp5QV2mw93SS1OEQERERkRWyiUTfz88Poiji3Llz9fatWbMG1dXVEAQB4eHhcHFpuODYtWvXAAAKBXs2yTbE3ujN91e6wd1FLnE01kMQBNwzvKZX/9e/EqHRihJHRERERETWxiYS/cGDBwMAVq9ejczMTP3nqamp+OSTT/Tbs2bNumUbO3fuhCAI6Nq1q+kCJWpF4m4U4gsL4MMtYxvfNxBuTg7IzC/DydgMqcMhIiIiIitjE4l+UFAQRowYgaysLAwYMABPPPEEnn76afTv3x+5ubkAgPbt22P69OkNnr9jxw78/PPPcHBwQN++fc0YOZF0alfcJ+Nykttj0qBOAFiUj4iIiIiMz17qAMzls88+w6hRo5CZmYmvv/5a/7luybD33nuvzvz73NxcbN68GYcPH8aOHTsAAKNHj4arq6t5AyeSgCiK+kQ/jIm+SUwbGoyfjlzBmfgspOSUIKCNu9QhEREREZGVsIkefaBm+P6PP/4IhUIBURT1LwBYtGgRHnnkkTrHJyYm4t///je2b98OrVYLAJgzZ47Z4yaSQmZ+GYrLK+FgJ0Pn9p5Sh2OV2ivcMCSsPQBgxzH26hMRERGR8dhMjz4ATJ06FVevXsXvv/+OxMREuLi44M4770RYWFi9Y/39/bF48WL9tiAIuP/++80ZLpFkdIX4gjt4QW5vJ3E01mv6sBD8dTkD+85cw7y7esLViat6EBEREVHL2VSiDwBubm649957Gz3Oz8+vTqJPZEtik2/Mz/fnsH1T6h/SFgFt3JGSU4L9Z6/rq/ETEREREbWETQzdr6iowNtvv13ndenSJanD0ouJicG///1v9OrVC15eXvD09ESPHj3wr3/9q8ElAY153bfffhuTJk1CQEAAXFxc4OLiAj8/P0yYMAFvvfUWkpOTm9Tm3LlzIQhCk14jR4400U9IzaXr0WchPtOSyQRMG3Zjqb3jCdByqT0iIiKSwG+//YbQbt3x+++/Sx0KGYlN9OifP38eS5Ys0RfeA4CwsDB0795dwqgAjUaDJUuW4P3334dWq4WTkxN69OgBmUyGmJgYXLp0CV988QVefvllvPvuu7C3b/n/Lo1Gg++//x4ff/wxoqOj9Z+HhIRgyJAhqKysxMWLF3Hw4EEcPHgQb7/9Np577jm89957cHZ2bvH1qfWr1miRkFYAAOjGRN/k7uzfEWt+j0FKTgmiErMxoEtbqUMiIiIiG1JdXY3/PP8CrsRexr//8zwuTJhglLyDpGUT/wdr99536NABjz32GAYNGiRhRDWefPJJ/QoA06ZNw6pVq9CuXTsAQFZWFp544gn88ssv+Oijj5CVlYW1a9e2+Jq7du3C7Nmz9dszZ87Exx9/jODgYP1nGo0GGzZswLPPPouSkhIsW7YM0dHR2LVrF5ycnAy6TufOneusYnA7HTt2bNoPQSaVlFmEymot3Jwc0EHhJnU4Vs/VyQETBwRhx/EE/HIsnok+ERERmdU333yDK3GxGPPmCkS+8yy+/fZbLFy4UOqwqIVsItHPzc0FALi7u+PUqVP6ZFpKq1ev1if5Q4YMwY8//lgnMW7bti22bduGUaNG4cSJE1i3bh0GDRqEp556qkXX1a00AAD33nsvtm3bVmekAwDY2dlh7ty5CAkJwdixY6HRaHDw4EEsWbIEH374oUHXOXjwIIKCgloUK0lDt6xe1wAfyGRCI0eTMUwbFowdxxNwIjYDGfllaO/DZTyJiIjI9IqLi/HG4sXoMmUWQqc9hIwzR/H6m2/iwQcfhLs7l/61ZDYxR9/FxQUAMHTo0FaR5JeWluL111/Xby9durTB3m8HBwcsXbpUv/3mm2+iuLjYKDHY2dlh+fLl9ZL82kaOHIkHH3xQv718+XKjXZ9ar7gbiT6H7ZtPoK8H+ndpC1EEdv7FpfaIiIjIPD7++GMUFRVj4JOvAQAGPvkaioqK8fHHH0scGbWUTST6uqHhhg4lN7WVK1ciJycHABAaGorhw4ff8tjhw4frl//Ly8vDl19+aZQYhgwZAj8/v0aPmzFjhv69Wq3GgQMHjHJ9ar10PfqsuG9e99woyrfnxFVcuJaL+LQCxKcVILuwXOLIiIiIyBqlpKTg088+Q8+HnoZb25q8wK2dP3o8+BQ+/ewzpKamShwhtYRNJPrjx4+Hh4cHzp8/3+w25s6dW2cee0ts3bpV/37q1KmNHl/7mNrnNkdwcDCee+45PP300wYdHxJSd7mvq1evtuj61LqVqaqQnFMzaiOMPfpmNTisPdp4OqNMXY3/fBWBp1YcwFMrDmDup78x2SciIiKj++/rr8PexR19Hnm2zud95z4HOxc3/LfWCGSyPDaR6Lu6uuI///kPUlNTsWnTpma1kZWVhWvXrrU4lrS0NJw5c0a/PXDgwEbPqX3MuXPncP369WZfv1evXli+fHmdIfm3c3PxPbVa3exrU+sXn1YAUQTaernA292wwotkHHYyAaN61h9lU1WtRVEZ7zsiIiIynrNnz2Ljhg3ot/BVyF3rzsWXu7qj34JF2LB+PaKioiSKkFrKJhJ9AFi8eDH++c9/YsGCBdi8ebNkcZw+fbrOtiFL/PXs2bPOdu0HBaamm2Kg06VLF7Ndm8xPP2yfvfmSGNa98ek0RERERC0hiiKef+FF+HTqirDpsxs8JuyeOfAO6oLnX3ixTjFvshw2UXUfACIjI7Fw4ULI5XLMmTMHH330Ee655x706tUL3t7ejc7fz8/PN0octZf6A2qW+2tM+/bt67Uxc+ZMo8TTmHPnzunfOzo6YsKECQadV1JSguXLl2Pnzp24ePEi8vPz4eTkBKVSif79+2PixImYM2cOnJ2dTRQ5NYcu0eewffPJLizX99jnFVc0eExy9t9FMD1dHeHr5WKW2IiIiMj6xMXF4fChCAx74X3I7BtOB2X29gidOReHPnsNV65cQWhoqJmjpJaymUR/7Nix+grzoigiJiYGFy5cMPh8URRvW6HeUImJifr3Dg4OUCgUjZ7j7e0NR0dH/bD52m2Y2q+//qp/P3v2bPj4GJYAjhgxAiUlJbCzs0P37t3RvXt3FBQU4OLFi0hKSsJPP/2EN954A59//jnuu+8+g+MpKysz6DNqnjgm+maVXViOuZ/+hqpqrf4zQQBqPzgXBODDrSf12w72Mqx7MZzJPhERETVLaGgoxo4bj5jt36HHfY81mOxrq6sR9/M6jLvjDnTt2lWCKKmlbGboPlCTrOsSdkEQ9NuGvIyl9vJ0umX/DFH7WHMtcXflyhXs378fAODm5oYlS5YYfK5KpcJ///tfZGZmIjo6Gn/88QeioqKQk5OD//73v5DJZMjOzsb999/fpOU73Nzc6r3atm3b1B+NGpBbVIHc4grIBCDEz1vqcGxCUZm6TpIP1E3yG9rmnH0iIiJqCUEQsPSzT5GfdAWxOzY2eEzsLxtQcC0eSz/91CidnWR+NtOjD9QU5VMqlc06NysryyiF6EpKSvTvHR0dDT6vdlG82m2Y0ksvvQSttiYJ+fTTT+Hv72/Qefb29vjhhx8wffr0evs8PT3x7rvvIjAwEAsXLgQALFq0CL169UJ4eLjxgqcm0w3bD2rrCWe5Tf1qICIiIrIp/fr1w+w5c/Dz6g8QMukfdQryVZYWI+rrDzHn4YfRt29f6YKkFrGpHv2pU6ciKSmpWa8xY8YYJYaqqir9e/tbzIlpSO1ja7dhKhs2bNAP2581a5Y+KW/MmjVroFKpGkzya3v88ccxduxYADUjLV544QX9Q4XbKS0trffKysoyKDa6vbjUG8P2Azlsn4iIiMjavffuu6guK8H57/5X5/Nz3/0PmvJSvPfuuxJFRsZgU4l+a+Dq6qp/35QRAiqVqsE2TOH8+fN48sknAQBDhw7F2rVrDT5XJpPBzs7OoGOfeOIJ/fvLly/j8OHDjZ7j6ura4ItaLjY5DwAQ6s9E31w8XR3hYF/313Bjo+Mc7GXwdDV8NBARERFRQwICAvDiCy/gwqYvUJqVBgAozUzFxc1f4sUXXjB4NC+1TjYzPrd3794ICgpq9vl33nkn2rVr1+I43N3/HhZTO3lvTO2HArXbMLbr16/j7rvvRllZGXr16oXdu3fXmTZgTKNGjaqz/ccff2DcuHEmuRbdnkYr4kpaAQAW4jMnXy8XrHsxXD/nPjm7uE7hPZ223i5448FhkMkEVt0nIiIio3nllVew6uuvcXrl+xi75AucXvk+PD098PLLL0sdGrWQzST6tZeJa47nn3/eKHH4+vrq35eXl6OyshJyufy251RXV6O0tLTBNowpPT0dd955J1JTU9G9e3ccOHDA4Cr7zdGhQwc4OzujoqJmSTFzriZAdaXmlKBcXQ0nuR06tvWUOhyb4uvl0mjinlVQjuScEtzZv6OZoiIiIiJb4O7ujnfeegtPPfUU2vUbhvg9W7Fy5UqTdiySeXDovpl169ZN/14URWRkZDR6TkZGRp3567XbMJaMjAyMGzcO8fHx6N69OyIiIkz2QKE2Dw8P/fu8vDyTX48adjml5s++i5837GSsrNoard0bA1VltdRhEBERkZV57LHH0DU0DJHvPIvQsG549NFHpQ6JjICJPmqK22VmZiIzM9Pkhe569uxZZ/vatWuNnnP9+vU62z169DBmSMjMzMS4ceNw5coVsyb5QN3pC87Ozma5JtUXd6PiPoftS6uhOfsO9jIoPJyQU1SBn/68IlFkREREZK3s7e2xbOln6BrWDcuWftakguHUetns/8WIiAisW7cOkZGRSE5OrrMvMDAQY8aMwdy5c/WV4Y1l4MCB8PLyQmFhIQAgKiqq0Yr+p0+f1r93d3fHkCFDjBaPLsmPi4trcZJ/+PBh5OTkYMyYMWjTpk2jx6tUqjpLBbZt27ZZ16WW01fcD1BIHIltu3nOPlCT/F+4losPvj+B7w/HYtKgTlB48KEYERERGU94eDiXurYyNtejn5ycjNGjR2PChAnYuHEjrl+/DlEU67yuX7+ODRs24I477sDYsWORkpJitOs7ODhgypQp+u0jR440ek7tY6ZMmdLonH5DZWVlYfz48YiNjW00yb9+/Trs7e0REhJyy/YWL16M++67D0ePHjXo+tHR0XWmJBjzAQYZTl2lwdWMIgDs0W8NfL1c0MXPW//y9XLBuD4BCAvwgapSg+/2X5Q6RCIiIiJq5Wwq0T9//jz69euHo0eP6pP6W9Htj4yMRL9+/RAdHW20OGovK7dnz546hfZuVlpaij179ui3b7eefVxcHJYtW2bQMnXZ2dkYP348Ll++bFBPviiK0Gg0qK5ufI5wVFRUo8cAwI8//qh/7+DggEmTJhl0HhlXQnoBNFoR3m6OaOPJnuLWSBAELJzSBwDw++kkJKYXShsQEREREbVqNjN0Pzc3F5MnT0ZhYaE+we/UqRN69+6NwMBAuLm5AahJrJOTkxEdHY2kpCQAQH5+PqZMmYJz585BoWj50OaRI0ciPDwcv/32GyoqKrB8+XK8/vrrDR67bNkyfVX6iRMn3nIqweXLlzFw4ECUl5cDADZs2IDZs2c3eGxOTg7Gjx+PS5cumWRO/tq1a7Fo0aLbzrlPT0/HqlWr9Nvz5s1Dhw4djBYDGe7v+fkKCI0t4k6S6RmkxOhe/oiMScXqPefx4aOj+f+LiIiIiBpkM4n+22+/ra9w//DDD+Pll19G9+7db3vOpUuX8NFHH2HDhg1IT0/H22+/jf/7v/8zSjwrV67E4MGDkZ2djffffx9jxoypt678kSNH8OGHHwIAlEolvvrqq1u2t3btWn2SDwArVqxoMNHXJfkXL9YM/83Ly8Pw4cMbjdeQnnydlJQU/POf/8SmTZvg6upab39WVhbuvvtuFBcXAwC6du2Kjz76yOD2ybhibyT6oRy23+o9NqkXjl9Kx9mEbJyMy8SQsPZSh0RERERErZBNJPpqtRpr1qyBIAj45ptvMG/ePIPO6969O7777juMHTsWjz76KL799lt8/PHHcHR0bHFMHTt2xI4dOzB16lTk5uZi4sSJePLJJzFhwgQIgoCDBw/iyy+/REVFBXx8fLB9+3Z06tTplu3dPA3hVtMSVq5ciQsXLui3s7KykJWV1eKfB6h5GKGzY8cOhIaGYv78+Rg8eDC8vLyQn5+PyMhIfPPNNygqqpkT3r9/f/z888/w8vIySgzUdLGsuG8x2ivccM+IEPwQeQWr95zHwC5tYWdnUzOwiIiIiMgANvEN8c8//0R5eTlmzJhhcJJf27x58zBjxgxUVFQgMjLSaHENHToU58+fx7333ovq6mosW7YMU6ZMweTJk/HZZ5+hsrIS06dPx7lz5zBy5MjbtvXII4/UGSr/r3/9q8Hjahe/M7YffvgBBw4cwMMPPwylUom0tDS88847mDp1KkaNGoXp06fjs88+Q1FRETp27IilS5fi2LFj6Nixo8liotsrKlMjI78MABDq7y1xNGSIB8d1g4eLHMnZJdhzKknqcIiIiIioFbKJHv3ExEQIgoD77ruv2W3cf//92L59OxITE3HnnXcaLbYOHTrghx9+QFZWFiIjI/UV/v39/TFq1Ci0b2/Y0NyePXvi7Nmz2LNnDwYMGHDLJfuWLFmCJUuWGCv8OgRBwB133IE77rgDWq0WsbGxuHDhAjIyMlBaWgpXV1e0adMGAwcORGhoqElioKbRLasX0MYdbs7GWc2BTMvNWY45E3rgi1+j8N3+CxjfNxCuTg5Sh0VERERErYhNJPoFBQUA0KJib7pzCwsLjRFSPW3btm3RgwgACAsLQ1hYmJEiahmZTIbu3bs3WgeBpBWbfGN+vj+H7VuSu4d0xq/HE5CSU4LNEZexILy31CERERERUStiE0P3PT09AdQUomsu3bkeHh5GiYmoNYhNZSE+S2RvJ9Mn99uPxOunXxARERERATaS6Hfs2BGiKGLnzp3NbmPHjh0QBAFBQUHGC4xIQqIo6pfW68ZE3+IM7dYefYN9UaXRYs3vMVKHQ0REREStiE0k+mPGjIFcLsfGjRvx+++/N/n83377DZs2bYJcLr/lOvZEliYjvwzF5ZVwsJOhU3tPqcOhJhIEAQun9IEgAIeiU3Dpep7UIRERERFRK2ETib6rqyvuv/9+aDQaTJ8+HYsXLzZorn1hYSHefPNN3HPPPRBFEbNmzYKLi4vpAyYyA92yesEdvCC3t5M4GmqOkA5emNg/CADw1e5zt1xWk4iIiIhsiyDayDfDlJQU9O7dG8XFxQAAe3t7DB8+HL1790ZgYCDc3NwAAKWlpUhOTkZ0dDSOHTuG6upqiKIIT09PxMTEwN/fX8ofgxpQVlZW5/+fq6urxBFZhpU7z+Hno/G4Z3gInp7WT+pwqJlyiysw75PfoKrS4L//HIqxfQKkDomIiG6huLgYnp6eKCoqYt0nolbImu5Rm6i6DwABAQH46aefMGXKFFRWVqKqqgqRkZGIjIy85Tm6ZyByuRzbt29nkk9WRdejz0J8lk3p4Yz7x4Ri/YFL+Pb3aAzv3gFyB47QICIiIrJlNjF0X2f8+PE4cuQIOnfuDAC3Heaq29elSxccO3aMc/PJqlRrtIhPr1l2MoxL61m8e0eHQuHhhMyCcmw/Fi91OEREREQkMZtK9AFgwIABuHz5MtasWYOxY8fC0dERoijWeTk6OmLs2LFYt24dLl68iP79+0sdNpFRJWUWoapaCzcnB/gp3aQOh1rIWW6P+Xf1AgBs/uMyCkvVEkdERERERFKymaH7tdnb22Pu3LmYO3cuqqqqkJycjLy8morVCoUCgYGBcHBwkDhKItOpPWxfEASJoyFjmNCvI7YfjUdCeiHWH7iIZ+/hA0oiIiIiW2VzPfo3c3BwQHBwMAYPHozBgwcjODiYST5ZPV2iH8b5+VZDJqtZbg8Adp+8iuvZxRJHRERERERSsflEn8gWxTHRt0p9g30xvHsHaLUivt4TLXU4RERERCQRmxy6X1tlZSWSk5NRUFBTmMzb2xuBgYGQy+USR0ZkGmWqKiTn1PT2hrIQn9VZEN4bJ2IzcCI2A2fiszCgS1upQyIiIiIiM7PJHv2CggIsXboUQ4YMgYeHB0JDQzF06FAMHToUoaGh8PDwwNChQ7F8+XIUFhZKHS6RUV1JLYAoAm29XODt7iR1OGRk/m3cMXVoMABg1e7z0GhvvboIEREREVknm0v0v/vuO4SEhOCll17C6dOnUVlZWa/qfmVlJU6dOoUXXngBwcHBWL9+vdRhExlNXOqNYfuB7M23VnPu6A43JwckZRZh35lrUodDRERERGZmU4n+66+/jvnz5+t76UXx1j1dun0FBQWYN28e3njjDXOESGRysck1K0xw2L718nB1xEN3dAcArNt3AeXqKokjIiIiIiJzspk5+lu2bMH7778PQRAgiiLkcjlGjBiBnj17IiAgAK6urgCAsrIypKSkICYmBseOHdP3+L///vvo0aMHZs2aJfFPQtQysaksxGcLpg0Lxs6/EpCeV4Zth+Mwd2JPqUMiIiIiIjOxiURfq9XixRdfBADI5XK8+eabeOaZZ+Du7n7b80pKSrBixQq8++67UKlUePHFF/HAAw9w3XGyWLlFFcgrVkEmExDi5y11OGRCcns7PDapN97edBw//nkFkwd3hq+Xi9RhEREREZEZ2MTQ/cjISGRkZEAul2P//v149dVXG03yAcDd3R2vvfYa9u3bBwcHB2RkZODw4cNmiJjINC6n1AzbD2rrAWe5TTzns2kje/qhZ5AS6ioN1u69IHU4RERERGQmNpHoX7p0CQCwYMECjBw5ssnnjxw5EgsWLKjTFpElikvhsH1bIggCnpjSBwBwIOq6vhAjEVFrp1Kp8NZbbyE0NBROTk7o0KED5s+fj7S0NJO3JQiCQS8iotbMJhL9kpISCIKAu+66q9lthIeHQxRFlJaWGjEyIvP6O9FXSBwJmUtogA/u6BsIoGa5vdsVISUiag1UKhXuuOMOfPbZZ/jggw9QUFCAnTt34vjx4+jXrx8SEhJM3lZAQABCQ0MbfDk6OiIsLMxYPy4RkUnYRKLfrl07AICHh0ez29AN9W/btq1RYiIyN41WRFxqAQD26Nua+ZN6QW4vQ0xSLo5eTJc6HCKi23r77bdx7NgxfPDBB5g5cyacnZ0xYMAAbNu2Dbm5uZg7d67J21q/fj1iY2PrvSIjIyGKIp555hnj/LBERCZiE4l+7969IYoiEhMTm91GQkICBEFA3759jRcYkRml5BSjorIaTnI7BPo2/6EXWR5fLxf8Y1RXAMDXv0WjqlorcURERA2rqKjAihUrIJfL8cgjj9TZ16tXLwwdOhRHjx7FkSNHTNbWP/7xD7Rp06bBNr/66is4OTnVa4+IqLWxiUS/X79+6NatG9asWdPsNtasWYPevXujT58+RoyMyHxibwzb7+rnAzsZ5xbamlljw+Dl5oj0vFLs/MvwYa9EROb0xx9/oLS0FH369IGbm1u9/SNGjAAA7Nixw2Rt/fjjj+jRo0e946uqqrBq1SrMnTu3wfaIiFoTm0j0AeDrr7/GiRMn8Pzzzzd5juoLL7yAs2fPYu3atSaKjsj0YlmIz6a5ODpg3sSeAICNBy+huLxS4oiIiOo7f/48AKBTp04N7td9Hh0dbda2AOCnn35CRkYGh+0TkUWwmfW1hg8fjh07dmDOnDk4ePAgnn32Wdx5550IDAxs8PiUlBTs378fK1asQGFhIfbv389h+2TRdIX4Qpno26y7BnbC9qPxuJZVjE0HL+HJqX2lDomIqI6MjAwAgI9Pw/9WeXt71znOXG0BwP/+9z9MmjQJXbp0afRYtVoNtVpd7/Ps7GwAQHFxsUHXJCLz0t2b1lC82CoS/c6dOxt8rFarRUxMDB5//HEAgLOzMzw9PeHo6AgAqKysRGFhISoqKvTntGnTBnPmzIEgCC2a508kFXWVBlcziwCwR9+W2ckELJzSB6+u+RM7jidg6rBg+CvdpQ6LiEivvLwcACCXyxvcr/u+pjvOXG2dOXMGx48fx549exo9FgA++OADvPXWW7fcHxAQYFA7RCSNvLw8eHp6Sh1Gi1hFon/t2rUmrWeqO1YURZSXl6O8vLzO+bonOLrPcnJyIIoi10wlixWfVgCtVoSPuxPaeDpLHQ5JaGDXdhgU2g6n4jLxzW8xWDJnuNQhERHpubi4AKjpeGmIrpdcd5y52vrf//6HkJAQTJo0qdFjAeDVV1/F888/X+/zgoICBAUF4dChQ+jXr59BbRGReWi1Wuzbtw8PPPDALUcCWRKrSPR1WjLEoqFzrWHIBhFQa9i+vw8fWBEen9wbZ65k4ujFNJy/moM+nRuuLk1EZG66JZHz8/Mb3F9QULNMbPv27c3WVk5ODrZu3YqPPvrI4H9DHR0d9SMGGlJVVQV3d3f+m0zUilRUVMDV1RUAIJNZfik7q0n0Bw0ahI8++shk7b/88ss4ffq0ydonMqXYVM7Pp78FtfXE5MGdsevEVazafQ6fPz0BMq7EQEStgK4eUlJSUoP7dZ/37t3bbG2tWrUKDg4OmDt3bqPXNJRarUZpaSnc3Tl9iqi1aKiuhiWzmkTfx8cHY8aMMWn7RJZK16PfjYk+3fDwnT3wx7lkxKcV4uC5ZNzZv6PUIRERYdy4cXB1dUV0dDTKysr0vWs6x44dAwBMmzbNLG1VV1fjq6++wsMPP2zU+br29vbIzc1lok/UiqhUKqlDMCrLH5NgJhzGT5aqsFSNjPwyAEBXf2+Jo6HWwtvNCf8c1w0AsOb3GKgqqyWOiIioZr78M888A7VajfXr19fZd/HiRRw/fhzDhg3DqFGj9J9HRERg8ODBWLFiRYvbutlPP/2EtLQ0oy+p5+3tjby8PKO2SUQto1ar4eDgIHUYRmMViX5ERIRJh+0DwCeffII//vjDpNcgMoW4G8P2A9q4w8254crDZJtmjuiCtl4uyC2uwI9/XpE6HCIiAMCbb76JoUOH4pVXXsH27dtRUVGBs2fP4v7774dCocC6devqHP/ZZ5/h1KlTeO2111rc1s1WrFiBCRMmoFu3bkb8CQGFQoHS0lKr60EksmQqleq2tTUsjVUk+mPGjEGvXr1Meo1evXqZdGoAkanohu1zWT26mdzBDvMn1fzu3Ho4FnnFFY2cQURkei4uLoiIiMB//vMfvPzyy/Dy8sKUKVMwePBgREVFoWvXrnWOf+CBB+Du7o758+e3uK3aoqKicPToUfzrX/8y2s/m6OiIxYsXo127dhAEgb36RK2IWq2Gu7s7Fi9ebBUJvyByTLpBXnnlFZw+fRoHDx6UOhS6SVlZGdzc3AAApaWl9ebg2brX1vyJU1cy8cz0fpg+LETqcKiVEUURz375B2JT8jFpYCe8cO9AqUMiIrIJ58+fBwD06dNH4kiICABOnjwJHx8fhIRYx/dlq+jRN4fo6GgcOnRI6jCImkQURX3F/TB/9uhTfYIg4Im7a75k7j2ThMT0QmkDIiKyEUqlEoWFhaiuZo0UIqmJogi1Wm0VPfk6TPSJrFhGfhlKyivhYCdD5/ZeUodDrVSPjkqM7uUPUQRW7TnP4qNERGagUCggiiLy8/OlDoXI5lVXV0Oj0cDJyUnqUIzGapbXM1RMTAy2bduGs2fPIj09HaWlpdBoNI2el5mZaYboiIwr9sb8/OAOXnCw53M9urXHJvXC8UvpiErIxsm4TAwJay91SEREVs3JyQlubm7Izc2Fr6+v1OEQ2TS1Wg0AVtWjbzOJflVVFRYsWIANGzY063xRFCEIgpGjIjKtWBbiIwO1V7jhnhEh+CHyClbtPo8BXdrC3o4Ph4iITEmpVCI1NRVarRYyGX/nEklFtwKGNfXo28xvlGeffRbr16+HKIrNehFZIlbcp6Z4cFw3eLjIkZJTgj0nr0odDhGR1VMoFKiurkZRUZFZr7tkyRIIglDvde3aNbPGQdRaqNVqCIIABwcHqUMx2v1pEz36aWlp+PrrryEIAkRRxODBgzF58mR06dIFPj4+Bj25efnll3H69GkzREtkHFXVWsSnFwAAQpnokwHcnOV4+M4e+HxHFNYfuIg7+nWEq5P0/+AREVkrNzc3ODo6Ijc3F97e3ma9tr+/P06dOlXnszZt2pg1BqLWQqVSwcnJqdWM4DbG/WkTif6hQ4eg1WohCAI+/fRTPP/8801uw8eHiRJZlqTMIlRVa+Hu7AA/hZvU4ZCFmDK4M3YcS0BKTgk2R1zGgvDeUodERGS1BEGAQqFAXl4eQkJCcPbsWezfvx8nT57EiRMnkJ6eDkdHR/2w4ttRqVT44IMPsGXLFiQnJ8PHxweTJk3C22+/DX9//3rH29nZoV27dqb4sYgsjiEV98+cOWNR96dNDN1PS0sDAAQFBTUryQcAX19fBAYGGjMsIpOKu7GsXmiAT6t5Okmtn72dDI9Prknutx+JR0Z+mcQRERE139y5cxscAqt7LV++vMltnjt3Dg8//DACAwPh6OiINm3aYMiQIXjppZdQWlra5PaUSiVUKhXKysrwzjvv4NVXX8X27duRnp5ucBsqlQp33HEH3n77bZSWlmL69OkICAjA2rVr0b9/fyQmJtY7JzMzEwEBAfD390d4eDiOHTvW5NiJjMEY91RL73Vdj/7tWNr9aROJvqurKwCgd+/m90x99913SEpKMlZIRCZ3OTkPABDqz9Eo1DRDwtqjX4gvqjRarPk9RupwiIhaRKFQIDQ0tMFXU0dsrlq1CkOHDkXXrl1x9OhRFBcXY//+/bCzs8Onn36K3NzcJsfn5eUFOzs75OXlYdiwYXjzzTexc+fOJq349P777+PYsWMYNmwYrly5gq1bt+LEiRP47LPPkJOTg/nz59c5fsiQIVi/fj12796NLVu2QKlUYtSoUdi/f3+T4ydqCWPeUy251w3p0be0+1MQbaDS3IEDBzBx4kRMnjwZu3btkjocMrKysjK4udUMTS8tLdU/2LF1jy79HcnZJXjnkREY2q2D1OGQhUlML8STK/ZDFIH/e3I8undUSB0SEVGTzZ07F0FBQViyZEmL24qMjMTYsWMbnAZ65coVTJs2DQcPHoSfn1+T27548SJUKhUGDBhQ53NBEBodGlxVVQVfX18UFhbi7Nmz6NevX539ffr0QXR0NE6fPl2v/dpGjx4NJycn7Nu3r8nxEzWHMe+pltzrWq0WkZGRCA0NRfv2hi8v3NrvT5vo0R8/fjyCgoJw4sQJVFdXN6uNgwcPYv369UaOjMg0ylRVSMkpAcBCfNQ8wR28cNeAIADAV7vPcfURIrJ5L7zwAjw8PPDMM8/U29e1a1fExsY2K8kHaobvl5SU6NfyboojR46gsLAQwcHB9ZIIALj33nsBADt37rxtO4MHD2bVfTIrU95TTVFZWQkAjfboN4eU96dNJPoymQxffPEFioqKsHjx4ma18emnn2LevHlGjozINOJS8yGKQDtvF3i7Wc96oGRej0zsCScHO1xOzsfh6FSpwyEikszly5dx+vRpDB8+HHK53KBzxo4d2+DyWNeuXav3uY9PTT2dvLy8Jsd2/vx5AED//v0b3K/7XHfcrURFRSEgIKDJ1ydqjubcU8ZU+/50dnbGuHHjkJWV1eD92RJS3p82kegDQHh4OLZs2YJVq1bh4YcfRnx8vNQhEZlMXMrfhfiImkvp4Yz7x4QBAL75LRqVVRqJIyIiarpz585h2rRpaN++PRwdHREQEIDZs2cjOjra4DaOHDkCAOjYsSP27duHcePGwcPDAy4uLujbty+WLl1ab9TooUOHkJGRAaVSCXt7exw/fhxBQUEICgpCcnIyFAoFIiMjIYoiHBwc4Onp2aw5/snJyQDQYOXu2p/rjgNqelIjIiKQlJSEc+fO4cknn0RERAT+/e9/N/n6RM3RnHuqMU2512++P7/44gt07dq1wfuzJaS8P61ieb2bCxjczpAhQ7Bx40Zs2rQJnTp1Qrdu3eDl5QUHh9uvFR0Tw4JUZDl0iX5YAOdVU8vcO7or9py8iqzCcmw/Fo8HbiT+RESW4s8//8Qnn3yCdevWwdnZGX/++SeeeuopDBo0CBs3bsR9993XaBu6DqK9e/diy5Yt+PLLL/Hzzz+joqIC7733Hl544QUcPHgQv/76K+zs7PTntWvXDqtXr8bMmTPx4IMP4ty5c3B1dcVDDz2ERx99FKNGjdIfq1QqcfXqVWg0mjptNEZXldzFxaXB/braRbWrl6enp2POnDnIycmBp6cnevXqhQMHDmD8+PEGX5eoJZp7T91OU+/12vfnu+++i9mzZ9/y/mwuSe9P0QoIgiDKZLImvQRBaNJ5umOp9SktLRUBiADE0tJSqcORnFarFe9/91dxwivbxJikHKnDISuw93SSOOGVbeK0N38W80sqpA6HiMhg586dExMSEhr8XBAE0dXVVczMzGy0nccff1z/XePrr7+ut79///4iAHHVqlUNnj937lwRgPjggw+Kb731ltirVy9RrVbXOaa8vFyMiIgQs7Oz9Z8BEB0dHW8b22OPPSYCEF9//fUG91+5ckUEIHbt2rWxH5PIbFp6T92sJff6zJkzG70/G9La70+rGroviqLBr6aeQ2QpcosrkF+igkwmIKSDl9ThkBWY0K8juvh5oVxdjQ0HLkkdDhGRwfr06YPg4OAGPx8xYgTKysqwbdu2JrX54IMP1vvskUceAQBs3ry5wXP+97//ISgoCJs3b8YHH3yAjRs31puX7OzsDFdX1yYP33d3dwdQswpRQ8rLywFAv0IRUWvTnHvqZi2511988UX4+fnd9v5sLinvT6sYug8AwcHBeOihh0zW/saNG3H16lWTtU9kLLE3hu13ausJJ7nV3OIkIZlMwMLJffDi14ex++RVTB8Wgo5tPaQOi4ioRUJCQnDkyBHExsY2eqxuDW6lUtngENygoCAANUuCNcTd3R1ffvklJk+eDB8fH/3xN1MoFMjIyIAoigYXAQsMDAQApKY2XDRV97nuOKLWoKX3VFM0dq/b29tjyZIlWLBgwW3vz+aQ8v60miwgJCSk2RX1DfHXX38x0SeLEKufn89CfGQ8fYJ9Mbx7Bxy7lI7Ve87jvXktn7dGRCQlrVZr8LHdu3cH8PcyXDfTjf6UyW49WHbr1q3w9fVFeno6/vWvf+G7776rd4xSqURycjKKiorg5eVlUGx9+vQBAJw9e7bB/brPe/fubVB7ROZgjHvKULe710VRhEqlwt69exu9P5tDyvvTqobumxKH75OlYMV9MpUF4b1hJxNwMi4TZ+KzpA6HiOi2jh07hnbt2qGwsLDB/YmJiQCAsLDGi4xOmDABMpkMxcXFyM/Pr7dft751t27dGjz/559/xh9//IHz58+jR48eWL9+PX7++ed6x7m7u0Mulzdpmb0RI0bA09MTiYmJiIqKqrf/xx9/BADcfffdBrdJZGotvadqa8m9rtFoEBERgePHjzd6fzaHlPenVST6y5Ytw8KFC016jU8++QR//PGHSa9B1FIarYgrqQUA2KNPxuffxh1Th9bMf1u1+zw0Wj4AJaLWq7KyEllZWdi7d2+9fefOncOxY8fg4uJSrxL38uXLMWTIEERGRuo/a9++PWbNmgUAWLduXb321q9fDwB47LHH6u3LzMzEE088gbVr16Jdu3ZYv349HBwcsHDhQmRl1X1oKggCFAoFcnNzDe5kksvleOaZZwAAzzzzTJ25wEuXLkV0dDRGjhyJQYMGGdQekTk0955q6P5s7r0OANevX8eyZcvw5ZdfNnp/Noek96fRy/sRmRmr7v/takahOOGVbeLdb/wkVmu0UodDVqioVCXes3i7OOGVbeLuE4lSh0NEdEuHDh0SAYgKhUJcv369mJWVJVZUVIh79+4Vg4ODRQcHB3HLli31znN1dRUBiHfffXedz7Ozs8XQ0FDR3d1d/P7778Xy8nIxIyNDfPrpp0UA4oIFCxqMY/LkyeJzzz1X57N33nlHBCBOnTq1zue7du0SBwwYIHbr1k0cNGiQCEAUBEEcMmSI/rVr165616ioqBCHDBkiAhDbt28v3n///fpthUIhxsfHN/FPj8j0mnNPNXR/NvdeF0VRnDBhgviPf/xDVKlU+s9ud3/Wvhdb+/1pM4n+4cOHxZiYGKnDIBNgov+3305eFSe8sk18/qsIqUMhK/ZjZJw44ZVt4v3v/iqWqSqlDoeIqEFarVaMjIwUn3rqKbFv376ij4+PKJfLxY4dO4oPP/yweO7cuQbPe+KJJ0R3d3dx8+bN9fYVFhaKL7/8shgSEiLK5XLR09NTHDt2bINJxOLFi/XfTwCIjzzySIOfAxAXL14siqIorl27tt6+m19r165tMO7y8nLxjTfeEIODg0W5XC62bdtWfOSRR8Tk5ORm/fkRmUNT7ilRbPj+bM69bgv3pyCKtjH5XCaTITw8HLt375Y6FDKysrIy/ZIUpaWlcHV1lTgi6Szffga7T1zF/aNDsWAyi+6QaVRVa/HYst+RnleGh8Z3w9yJPaUOiYjIqly4cAGVlZXo37+/1KEQWbWrV68iOzsbQ4cOlToUo7OKOfqGspFnGmTDYpNZcZ9Mz8FehsfCax4k/RAZh+zCcokjIiKyLgqFAsXFxbesSE5ExqFSqeDk5CR1GCZhNcvrGSI/P79O4Yamsre3h7e3NwICAvQ9yESthaqyGklZRQBYcZ9Mb2QPP/QKUiLmWi7W7r2AVx4YLHVIRERWQ6FQAADy8vLQvn17iaMhsl5qtZqJvjU4deoUxo0b1+J2ZDIZ+vXrh8cffxxz586Fvb1N/TFSK5WQXgitVoSPuxPaeDpLHQ5ZOUEQsPDuPnjm84M4EHUd94wIQag/HzARERmDXC6Hp6cnE30iE1OpVPDy8pI6DJOwqaH7QM3w/Za+NBoNzpw5g4ULF2L48OFIS0uT+sciQmzK38P2BUGQOBqyBaH+PrijXyAAYNWu85weRURkRAqFAvn5+dBoNFKHQmSVRFGEWq2Go6Oj1KGYhM0k+oGBgQgMDIRSqazzuZOTE9q2bYuOHTuiY8eOaNeuHZyd/+4NFQQB3t7e+v0KhQJ2dnb6pP/MmTMIDw9HRUWFuX8kojribiT6HLZP5jT/rl6Q28sQcy0XRy+mSx0OEZHVUCqV0Gq1KCgokDoUIqukVqsBwGqH7ttMon/t2jWsX78ezs7O6NmzJ7766itcvXoV5eXlyMjIQFJSEpKSkpCeno6ysjIkJSVh1apV6NWrF2QyGT7//HMkJSUhJycHJSUlOHz4MP75z39CFEVcvHgR77//vtQ/Itm42NQbPfocPk1m5OvlgntHhQIAvv4tGlXVWokjIiKyDi4uLnB2dkZeXp7UoRBZJV2izx59C3f+/HlMmjQJM2fOxLlz5/D4448jKCjolsd37NgRCxYsQFRUFObMmYMZM2bg2LFjAGqe+owaNQqbNm3CqlWrIIoivvzySw6tIskUlqqRmV8GgD36ZH4PjA2Ft5sj0vNKsfOvBKnDISKyGkqlErm5uZwaRWQCKpUKABN9izd//nz0798fy5Ytg0xm+I8tCAKWLl2KwYMHY8GCBfX2L1iwAOPGjUNhYSFOnTplzJCJDBZ3ozc/oI07XJ0cJI6GbI2LowPmTuwJANh48BKKy7kcFBGRMSiVSlRVVaGkpETqUIisjlqthr29vdUWVreJRD86OhpRUVGYN29es9uYP38+YmNjcfbs2Xr77rvvPgDAxYsXm90+UUvULsRHJIW7BnZCp3aeKKmowsaDl6QOh4jIKnh4eMDBwQG5ublSh0JkdVQqldXOzwdsJNE/d+4cBEFASEhIs9sICQmBKIqIjo6ut69Lly4QRRH5+fktCZOo2eKY6JPE7GQCFk7pAwD49XgCUnPY+0RE1FKCIEChUDDRJzIBa664D9hIop+RkQEAKC4ubnYbunOzs7Pr7dMN9+AcfZKCKIr6Qnycn09SGtClLQaFtoNGK+Kb3+o/FCUioqZTKBQoLy/nCk9ERsYefSvg4eEBURSxb9++Zrexd+9eCIIAd3f3evvS09P11yEyt/S8MpSUV8LBXobO7bykDods3MLJfSCTCTh6KR3nr+ZIHQ4RkcXz8fGBTCZjrz6RkbFH3wp069YNALB69WocP368yecfO3YMq1evBgB079693v7IyEgIgoDAwMCWBUrUDLpCfCEdvOBgbxO3NLViHdt6YMrgzgCAVbvPQatlpWgiopaws7ODt7c3l9kjMqLq6mpUV1ezR9/SjR49Gu3bt0dVVRUmTJiAjz/+GKWlpY2eV1paio8++gh33nknqqqq0KFDB4wePbrOMbGxsdi0aRMAoGfPniaJn+h2LifX/MMf6s9h+9Q6zJnQHS6O9ohPK8TBqOtSh0NEZPEUCgUKCwtRVVUldShEVkGtVgOw3qX1AMA61xK4iUwmw8cff4w5c+ZApVLh1VdfxeLFizFixAj06tULAQEBcHV1hSAIKC0tRUpKCmJiYnD06FFUVlZCFEUIgoBPPvkEgiAAAHJzc7FhwwZ88MEHKC0tRWBgIIKCgqT9Qckm6Xr0WYiPWgtvNyf8c1w3fPt7DNbsvYBRvfzhJLeJf26IiExCoVAAAPLy8tCuXTuJoyGyfCqVCgCsukffZr55PfTQQzh//jw+/fRTCIIAtVqNiIgIRERE3PIcUfx7yOmrr76KWbNm6bc3bdqEF154Qb89Y8YM0wROdBtV1VokpBcCAMICFNIGQ1TLzBFdsOuvRGQVluPHP69g9h31pz0REZFhHB0d4e7uzkSfyEjUajUEQYBcLpc6FJOxmUQfAD7++GN06dIFL730EoqLi/U99Q3RJfmenp5YunQp5s2bV2f/0KFDsXjxYv32nDlzTBc40S1czSxEVbUW7s4O6KBwlTocIj25gx0eDe+F97ecwNbDsQgf1AkKD2epwyIislhKpRLJycnQarWQyWxi9i2RyahUKjg6Ot4yF7QGNpXoA8CCBQswc+ZMfPvtt/jhhx9w/vx5VFdX1znGwcEBffr0wQMPPIB58+bBx6f+kOghQ4ZgyJAh5gqbqEFxKX8vq2fNv6jIMo3tHYDtR+NxOTkf6/ZdxAv3DpQ6JCIii6VUKpGUlITCwsIGv5sSkeGsveI+YIOJPlAzz+nll1/Gyy+/DJVKhevXr6OwsBAA4OXlhY4dO1r1fA2yHrEpuvn5HLZPrY8gCFg4pQ/+vTICe88k4Z7hIQju4CV1WEREFsnFxQVOTk7Izc1lok/UQiqVyurzPZsf9+Pk5ITQ0FB9D31oaKjV/08n6/F3os9/8Kl16tFRiTG9/SGKwKo95+vUPiEiIsMJggClUonc3Fz+LiVqIVvo0bf5RN9QFy5cQGRkpNRhEOmVqaqQklMCgEvrUev26KTecLCTISohGyfjMqUOh4jIYikUClRWVhq0TDQRNUwURajVaqvv3GWib6CXXnoJ48aNkzoMIj3dsnrtfFzh5WbdTyTJsrX3ccWMEV0AAKt2n0e1RitxRERElsnT0xP29vbIzc2VOhQii6VbPp09+kTUKumH7bM3nyzAP8eFwdNVjpScEuw5eVXqcIiILJJMJoNCoUBeXp7UoRBZLJVKBQBW36NvVcX4kpKSoNFoEBISUm/f+vXrW9R2Wlpai84nMrbaFfeJWjs3ZznmTOiBz3dEYf2BixjfNxBuzta7di0RkakoFApkZWXZRDExIlNQq9UAYPU9+laT6H/44Yf473//CwB4880366xxDwBz585t0fJjoihy+TJqNURRZCE+sjhTBnfGjmMJSMkpwZaIWCyY3FvqkIiILI6PT82Surm5ufD395c6HCKLo1KpYG9vD3t7q0mFG2Q1Q/c/+ugjADUJ0LJly255nCiKzXoRtSY5RRXIL1FBJhMQwuXKyELY28mwcEofAMD2o/HIyC+TOCIiIstjb28PLy8vDt8naiZbqLgPWFGPft++fXH48GH9+4Z4e3ujV69ezWo/OjoahYWFzYyOyLh0w/Y7tfWEk9xqbmOyAYND26FfiC+iErLx7e/ReP3BYVKHRERkcZRKJRISElBdXW31vZJExmYr017M9puhpKQEqampKCwsxLBhxv9i99NPP2H58uXQaDT497//3eAxgwcPxp49e5rVfnh4OPbt29eCCImMJzaVw/bJMgmCgIWT++DJFftxODoVM0bkokdHpdRhERFZFIVCgfj4eOTn58PX11fqcIgsilqthoeHh9RhmJxJh+5fv34dixYtQo8ePeDt7Y2ePXti1KhRdY555plnMHv2bJw5c6ZF1/Lx8cHbb7+N9957D23atGlRW0StXWwyE32yXMEdvHDXgE4AgK92nef0KCKiJnJycoKbmxuX2SNqBlvp0TdZov/RRx8hNDQUn3zyCWJjY6HVahuc715UVITNmzdj8ODBWLhwob4KorGNHj0avXs3v/BTr169MHr0aCNGRNQ8Gq2IK2msuE+Wbe7EHnCS2yE2JR+HolOkDoeIyOIolUrk5+dDq9VKHQqRxaiurkZ1dbVNzNE3SaL/73//G6+99hqqqqoaLWZ31113ITQ0FKIo4ptvvsG9995ripBw6NAhfPjhh80+/+OPP0ZERIQRIyJqnuTsYqgqNXCW2yPQ1/qHHZF1Ung444ExYQCAb3+LQWWVRuKIiIgsi0KhQHV1NYqKiqQOhchi6DqV2aPfDDt27MD//vc/fXI/ZswYvPrqq1ixYgV69uxZ7/jZs2fj8uXL2LRpE9zd3bFnzx588cUXxg6LyGroltXr6u8NOxmXfCTLde+orlB6OCOrsBw/H42XOhwiIovi5uYGR0dHDt8nagJdos8e/WZ48803AdRUvr9w4QIiIiLw3nvv4emnn4afn98tz/vnP/+J3bt3w87ODh9//LGxw7qlkpISXL58GcePHzfbNYlaQldxn8P2ydI5ye0x/66aB8BbIi6joFQlcURERJZDEAQolUrk5eWx1gmRgVSqmu8aTPSbKCkpCTExMWjXrh3++OMPdOvWrUnnjxgxArNmzUJqairOnj1rzNDqMGeRQCJj0/Xoh/kz0SfLd0e/juji54VydTU2HLgkdThERBZFoVBApVKhrKxM6lCILIJarYajoyMEwfpHxRo10df1ij/99NPw8vJqVhtTp06FKIo4d+6c8QKrpbUVCSRqClVlNZKyaubihQUy0SfLJ5MJWDilLwBg94lEXM8qljYgIiIL4uXlBTs7Ow7fJzKQrVTcB4yc6GdnZ0MQBAwePLjZbXTo0AEATPILqzUWCSRqioT0Qmi1InzcnaD0cJY6HCKj6NO5DUZ07wCtCKzec17qcIiILIZMJoOPjw/y8vKkDoXIIuh69G2BURP9yspKAIBcLm92G7rKoXZ2dkaJSYdFAska6IftB/jYxJAjsh2PTe4NO5mAk3GZOH0lU+pwiIgshlKpRElJCUefEhmAPfrN5OvrC1EUERsb2+w2jh07BkEQ4Ovra8TILK9IIFFDYlNqntiHsRAfWRl/pTumDQsBAKzeEw2NloWliIgM4eNT8/CfvfpEtyeKInv0m6tv374AgJUrV0Kr1Tb5/Ly8PKxevRoAMGjQIKPFZSlFAokaw4r7ZM1m39Ed7s4OSMoswt7TSVKHQ0RkERwcHODp6cl5+kSNqKyshCiK7NFvjr59+6Jjx46IiYnBQw89hPLycoPPTU9Px+TJk5Gbm4uuXbsiLCzMaHFZQpFAosYUlKqQWVAOQQBCWXGfrJCHixwPje8OAFi37wLK1VUSR0REZBmUSiUKCgpQXV0tdShErZZuegt79Jtp8eLFEEUR27ZtQ2hoKN5//31ER0c32MNfWFiIiIgIPPvsswgNDcWpU6cgCAKWLFli1Jhae5FAIkNcSS0AAAS0cYerk4PE0RCZxrRhIeigcENBqRpbD8VJHQ4RkUVQKBQQRREFBQVSh0LUaqlUKgBgj35zPfLII5gxYwZEUUR6ejreeOMN9OvXD87Ozjh06BCAmqTZw8MDCoUCEyZMwBdffKFf/3PWrFl44IEHjBpTay4SSGSoy8k1c+/Ym0/WzMFehgXhvQEAP/4Zh+xCw0eGERHZKmdnZ7i6urJDiug21Go17OzsbCafM3qiLwgCNm/ejJkzZ+qXsBNFEVVVVfqEOzMzE6WlpXX2A8ADDzyAdevWGTukVl0kkMhQcal/V9wnsmYjenRAryAlKqu1WLM3RupwiIgsgkKhQF5e3m2XjyayZbqK+7aycpXRE32gZt7Djz/+iG+//RbBwcH6z2+1dn1ISAi+++47bNmyBQ4Oxh+S3FqLBBIZShRFfSG+sACFxNEQmZYgCFh4dx8AwMGoZP1DLiJjyi4sR3xagf7F0SNk6ZRKJaqrq/WjUImoLluquA8A9qZsfN68eZg7dy7+/PNPHD58GHFxccjPr/nCplAoEBoaijFjxmDkyJEmfbJyc5HAb7/9Fi4uLgadm56ejhkzZiA3NxehoaFGLRJIZKi0vFKUVFTBwV6GTu08pQ6HyORC/X0woV9HHIi6jlW7zuOzhWNt5gk8mV52YTnmfvobqqr/fvjvYC/DuhfD4etl2PcDotbG3d0dcrkcubm5zS4+TWTNVCoVPDw8pA7DbEya6AM1PTOjR4/G6NGjTX2p21q8eDHmz5+Pbdu24ciRI3jyySdx9913o2fPnvWOLSwsRFRUFLZv3461a9eirKzMJEUCiQyl680P6eAFB3uTDMQhanXm3dUTkTEpiLmWiyMX0zCqp7/UIZGVKCpT10nyAaCqWouiMjUTfbJYgiDoh+8HBwfz4SjRTWytR99mMobWWCSQyFCxHLZPNsjXywX3jQ4FAHzzW3S9xIyIiOpSKpWoqKho0hLXRLZAo9GgqqrKZiruAyZI9N9++21s3rzZ2M22WGssEkhkqL8TfRbiI9ty/5hQeLs5Ij2vDL8eT5A6HLJgtefkJ2cXN3hMcnYx5+yTRfPy8oJMJkNeXp7UoRC1Kmq1GgBsqkdfEI1cmlMmk2HSpEnYs2ePMZs1qrVr1+L9999HYmLibY8LCQnBG2+8gTlz5pgpMmqOsrIyuLm5AQBKS0vh6uoqcUTGVVWtxfTF21Gl0WLdi+HwU7pJHRKRWe05eRXLfj4DNycHfPdSODxcbecfaTKOhubkCwJQ+xvQzducs0+W6sKFC6isrET//v2lDoWo1cjPz0d0dDSGDh1qM736Jp+j3xq1liKBRIa4mlmIKo0W7i5ydFBY10MMIkPcNbATfjmWgKTMImz84zKemtpX6pDIwjQ0J//mbo6btzlnnyyVUqlEbGwsKisrIZfLpQ6HqFXQ9ejb0j1hkkQ/ISEBb7/9drPPt7e3h7e3N4KCgjBixAiTVEdsLUUCiRqjH7bv78MHT2ST7GQCFk7pg0XfRuLX4wmYNjQY/m3cpQ6LbMDuE4no1akN/JTu6KBwg4eL7XxBJMvl41MzzS8vLw/t27eXOBqi1kGlUsHR0REymc2UqDNNop+YmIi33nrLKG3Z2dnh/vvvxzvvvINOnToZpU0iS6KruB/K+flkwwZ0aYvBoe1wMi4T3/wWjSUPj5A6JLIBu08mYffJJP22u7MD/JTu8FO4oYPCDX5K3X/d+RCAWg25XA5PT0/k5uYy0Se6wdYq7gMmSvRrT/sXBAGNlQG43THV1dXYsmUL9uzZg59//hljx441ZqgG27x5MxISEvDmm29Kcn2yXSzER1Tj8cl9cDo+C0cvpeN8Yjb6BPtKHRJZCE9XRzjYy267csPNc/TtZAJG9vBHQakKaXklyCtWoaSiCrEp+frfy7XpHgJ0ULjVPAhQ1vzXT+HGuhJkdgqFAteuXYNGo4GdnZ3U4RBJTqVS2czcfB2jF+ObO3cuBEHA2bNnERMTAwAIDAxEt27d4OXlpf8DVqvVKCgoQGxsLK5fvw4ACA4OxsiRIwHUFFVLT09HdHS0fok7b29vnDlzBkFBQcYM2SDh4eHYt28fNBqN2a9Nt2fNxfhKKyox460dAIAfXp8GLzd+WSTb9r9fzmLnX4no4ueFz5+eAJmM01nIMIejU/DpD6egqtKgvY8rMvLL6h2z6IHBCPStmS7o6epYZ35+RWU1MvJKkZZXirTcUqTX+m9uccVtr+3u7KDv+a89EsBf4QZ3FzmnZZHRlZeX4+TJk+jZsyeUSqXU4RBJ7sSJE1AqlQgODpY6FLMxeo/+unXr8Omnn2LLli148skn8dxzz6Fr1663PSchIQHLly/H6tWrce+99+KDDz7Q71OpVNiwYQNeeeUVFBYWYvHixfjuu++MHTZRq3QltQAA0M7HlUk+EYA5E7rjYNR1xKcV4mDUddw5IEjqkMgCnIjNwMfbTqKyWos+ndvgkTt74PlVh+odF+jrgS5+3g224Sy3R+f2Xujc3qvevorKamTmlyE1t6TOA4C03JqHACUVVYhLLUDcjd/ptbk5OdSZAqB7EOB3oyYAHwJQc7i4uMDFxQV5eXlM9MnmiaJokz36Rk/0t2zZgkWLFmHr1q34xz/+YdA5ISEh+PzzzzF+/Hjcf//96NSpEx5//HEAgJOTExYsWIC+fftixIgR+P777/HFF1/oe3CbSqPR4NChQzh79izS09NRWlpqUC+9bnQCkTnFpv5diI+IAG83J/xzXDd8+3sM1uy9gJG9/OEst8kFZMhAh6NT8MH3J6DRihgS1h5vPDQMydnFRr2Gs9wendp5olM7z3r7VJXVyMgvQ1puKdLy6j4IyCmqQKnq9g8BdFMAdA8C/G48COBDAGqMQqFAZmYmunbtyr8rZNOqqqogiiLn6LeEVqvFSy+9hFmzZhmc5Nc2c+ZMzJo1C6+//joeffTROnOKBg0ahFmzZmHTpk04duwYJk6c2OT2161bh0WLFiEnJ6fJ54qiyF+SZHaxyZyfT3SzmSO6YNdficgqLMePkVcwZ0J3qUOiVur3U0lY9vNpaEVgbJ8AvHL/YNjbyRqcs+9gX/O5sTkZ+BAgPe/Gg4DcmukBuocAV1IL9KO7anOtPRJA97oxIsDTVbqHANmF5SgqU+u3b54CQeajVCqRkpKC4uJieHrW//tHZCtUKhUAsEe/JSIjI5Geno4ZM2Y0u40ZM2Zgy5YtOHToEO644446+yZNmoSNGzciMTGxye2uXLkSzzzzDAA0WhyQqDUQRRGxKXkAWHGfqDa5gx0eC++N97b8hW2HYxE+uBOUHs5Sh0WtzM9HrmDlrvMAgPBBnfDcjAGwu1HTwdfLBeteDJc8Ib3dQwB1lQbpeaU3TQUo0T8EKGvkIUDtKQB/Fwd0N+lDgOzCcsz99Ld6D1DWvRjOZF8CHh4ecHBwQF5eHhN9smlqdc3vevbot0B8fDwEQYCvb/MrIfv6+kIURSQmJtZL9P39/QEAhYWFTWqzpKQEr776qj7Bd3R0xJAhQ9C1a1f4+PjAycmp0X/0Nm7ciKtXrzbpukQtkVNUgYJSNWQyASEdvKQOh6hVGdPbHz8f9cHl5Hx8t+8CXrh3kNQhUSshiiI2HryM9QcuAgDuHdUVj0/uXe/feV8vl1adfDo62LXoIUB8WgHi0+o/BHBxtK8zBaB2cUAvV8cWPQQoKlPXW9mgqlqLojJ1q/6ztlaCIEChUCA3NxedO3eWOhwiyahUKtjZ2cHe3ram+hn1p83PrxlmnJ6e3uw2dOcWFNT/x0n3NKap/5MiIiJQXFwMQRAwY8YMrF69Gj4+Tesh/euvv5jok1nplm/q3M4TTpyDTFSHIAh4YkpfPLfyD+w9cw33DO+CYD4Qs3miKGLV7mj8dOQKAOCRO3vgofHdrG7qXWMPATLy6xYETLvxICCnqALl6upGHgLU9Px3uOlBQEsfApA0lEolMjMzUV5eDhcXPmwh26RWq+HoaHu/w4yaPSiVSoiiiM2bN+OBBx5oVhubNm2CIAgNVghNTU0FAHh5eTWpTd1Qfy8vL2zYsAHOzk0f4snh/mRucTcSfQ7bJ2pY944KjO0dgEPRKfhq93l8/Nhom/tHnP6m0Yr4v+1n8NupJADAk3f3xcyRXSSOyvwcHewQ1NYTQW1v/RBAVwcgrU5hwPIbDwEKEZ9WWO9c3UOAmpoAfz8IcLSXQUTNw7dbFTms/Tnn7JuXt7c3ZDIZ8vLymOiTzbLFivuAkRP9wYMHAwB27dqFZcuW4T//+U+Tzl+2bBl27doFQRAwdOjQevt/+eUXCILQ5PUPtdqaYWRDhw5tVpIPAOvXr0dFxe3XySUyJl2PPivuE93a/Em9cPRiGs4lZuNEbAaGdusgdUgkgWqNFh9tPYlD0SmQCcB/Zg7EpEGdpA6r1bndQ4DKKs2NwoAl+ocAuhEBjT0EuB1BAD7celK/zTn75mVnZwdvb2/k5uYiICBA6nCIJKFWq5u9YpslM2qi36tXL/Tv3x9nz57Fiy++iP379+P555/HmDFj4ODg0OA5VVVVOHToEJYuXYp9+/ZBEAQMHDgQPXr0qHPcDz/8gN27d0MQBPTp06dJcenmJcnl8ub9YECL6g4QNZVGK+JK2o1EP5CJPtGttPdxxYyRXbDtcBxW74nGwK7tYG8nkzosMiN1lQbvbDqOE7EZsLcTsOiBIRjTmwlNU8kd7NCxrQc6tvWot0//EODGFID0Gw8CrmcWI79Uddt2bx4QyTn75qdQKHDlyhVUVVXd8vs4kTVTqVQNjha3dkaf+Lty5UqMHDkS1dXV2Lt3L/bu3QsnJyd07doVAQEBcHV1hSAIKC0tRUpKCq5cuaJf8kC3vuHKlSv17UVFRWHJkiXYs2cPRFFE7969oVAomhTThAkT4OHhgQsXLjT758rJyUFFRQUCAwOb3QaRoZKzi6Gq1MBZbo+ANvW/dBHR3x4c1w17TychJacEu09exfRhIVKHRGZSrq7Cm98dxfmrOZDby7B4znAMDm0vdVhW51YPAeLTCvDUigMSRUWG0n1vzsvLQ7t27SSOhsi8NBoNqqqqbK7iPgAYvdtj0KBB2Lp1q/6JoSiKqKioQHR0NHbv3o1t27Zh69at2L17N6Kjo/XD4XVJ/o8//oj+/fvr24uMjMTOnTuh0WggiiJmzZrV5Jjc3d3x2muvITExET/99FOzfq6HH36YFUvJbHTD9rv6e+uXgyKihrk6OeDhCTWjwNbvv4jSikqJIyJzKC5T4+WvD+P81Ry4ONrjg/mjmeQTNcDR0REeHh7Iy8uTOhQis9MVc+ccfSO55557cPr0aSxcuBDHjx8HUJPI31wkSVfgThRFjBw5EqtWrUK3bt3qHHPvvfeib9+++u1+/fo1K6aXX34Z6enpeOSRR1BUVIT58+c3uQ0W5CNziU2p+cc4jIX4iAwyZXBn7DiegOTsEmyJiMWCyb2lDolMKK+4Aou+jcS1rGJ4uMjx/vxRCGU9E7PzdHWEg72szpJ6glB/uH5tDvYyeLraXs+a1BQKBZKTk6HVaiGTcXoT2Q5dom+LPfomW7OrZ8+eOHr0KE6dOoVt27bhr7/+QkJCAgoLCwHUVMAPCQnBsGHD8MADD2DAgAENtuPn5wc/P78Wx7N+/Xr0798fM2bMwIIFC7B48WLcdddd6NatG7y8vBqds5SWltbiGIgMFcuK+0RNYmcnw+OT++D1dUew/Wg87h4ajPY+rlKHRSaQmV+GV749jPS8Mvi4O+Gjx0Y3WFyOTM/XywXrXgxHUVnNF+nk7OI6hfd0Xr5/MIJuDPtn1X1pKJVKJCUloaCgoMlTYIksmW6KOBN9Exg0aBAGDRpk6ss0au7cufoRBaIoIi0tDWvXrjX4/IZGJBCZQkVlNa5l1SxFxB59IsMNDm2H/iG+OJuQjW9/j8brDw6TOiQyspScErzyzWHkFFWgnY8rPn50NNorbK+Scmvi6+XSaOKuUlehi5+3mSKihri4uMDJyQl5eXlM9MmmqNVqyOVymxzJYlM/sSiKdYbf67YNeRGZS0JaAbRaEQoPJ7TxZK8HkaEEQcDCKX0gCMDh6FRcvJ4rdUhkRAnphXj+qwjkFFUg0NcdyxaOY5JvIY7HZkgdgs0TBAFKpRK5ubn8Xks2RaVS2eT8fMAMPfpNdeHCBeTn52P06NFGb9vX17deDQBDRUdH66cdEJmSbth+GOebEjVZ5/ZeuGtAJ/x+Oglf7TqP/z01nqOxrMDF67n479ojKFNVoYufF96fNxpebrY3DLO1a2jOPgBEJ2ajXF0FF0cu7SYlpVKJ1NRUlJaWwt3dXepwiMxCpVLZ5LB9oBUm+i+99BL27dsHjUZj9LbHjx+PzZs3N+vc8PBw7Nu3z8gRmVZMTAy+/fZbHDx4ECkpKRBFEf7+/hg/fjweffTROkUOjX3d7du349ixY7h48aK+yqu3tze6deuGUaNGYd68eVyq8BbiUjk/n6gl5k7sgUPRyYhNyceh6BSM68PfNZbsTHwWlqw/ClWVBj2DlHh37ki4OjFhbI1unrMviiLe3fwXMvLLEBmTikkDO0kcoW3z9PSEvb09cnNzmeiTzVCr1Tb7992mhu7bCo1GgzfeeAN9+/bF//3f/yEhIQEhISEIDQ3F1atX8fnnn6N///5YtGgRqqurjXbNTZs2oU+fPujduzcWL16MvXv3wsnJCUOGDEG/fv1QVlaGgwcPYsmSJejUqROef/55/fKK9LfY5Bs9+gGcQ0fUHAoPZ8waEwYA+Pa3GFRWGf/BMZnH0YtpeGPdEaiqNBjYtS0+mD+KSX4r5+vlgi5+3uji542u/j4IH1ST3O87c03awAiCIEChUCA3l9OayDaIogi1Ws0efVPQarU4c+YMzp8/j7y8PP3yBreTkJBgklimT5/eoqKAs2fPxtChQ40Ykek8+eST+PrrrwEA06ZNw6pVq9CuXTsAQFZWFp544gn88ssv+Oijj5CVldWkooS3smvXLsyePVu/PXPmTHz88ccIDg7Wf6bRaLBhwwY8++yzKCkpwbJlyxAdHY1du3bZ7NyZmxWUqJBVWA5BALr6s3ARUXP9Y1RX7DpxFVmF5fj5aDxmjQ2TOiRqogNR1/HJD6eg1YoY1dMPi2YNgdzeTuqwqIkm9O+ItfsuICYpFxn5ZVwNQ2IKhQJZWVk2PW+ZbEdVVRW0Wq3N/l03WaL/9ddf4+2330Z6enqTzjNVdfvt27e36PyHHnrISJGY1urVq/VJ/pAhQ/Djjz/WWTqwbdu22LZtG0aNGoUTJ05g3bp1GDRoEJ566qkWXbd2YZd7770X27Ztq/f/0c7ODnPnzkVISAjGjh0LjUaj7+H/8MMPW3R9a6Ebth/Qxp29VkQt4CS3x/xJvfDxtpPYEnEZdw0Mgrebbf5Db4l+PZ6AFTuiAAATBwTh+ZkDYGfHQYiWqI2nC/qFtMXZ+CwcOHsNcyb0kDokm+bj4wNBEJCbmwt/f3+pwyEyKVteWg8w0dD9p556Ck888QTS09ObVNWeVUBbprS0FK+//rp+e+nSpXWSfB0HBwcsXbpUv/3mm2+iuLjYKDHY2dlh+fLlt31YM3LkSDz44IP67eXLlxvt+pYqu7Ac8WkFOHYpDQDQkWtCE7XYHX0D0cXPG+Xqaqzff1F/n+le2YXlUodIDfj+UKw+yb9neAhe+MdAJvkWbmL/jgCAfWevQ6vldz0p2dvbw9vbW18/icia6UaTs0ffSDZs2ICvvvoKQM3woJEjR8LLywv79+9HRkYGHn744TrHq1QqxMfHIyoqCoIgYMKECejQoYOxw7IJK1euRE5ODgAgNDQUw4cPv+Wxw4cPR1hYGGJjY5GXl4cvv/wSixYtanEMQ4YMgZ+fX6PHzZgxAxs2bABQcxMeOHAAM2fObPH1LVF2YTnmfvpbnSrFxy6mIbuwvNG1iYno1mSymuX2Xlx9CLtPXMXvp6+hWvP3feZgL8O6F8N5n7USoihizd4L+P5QLADgofHd8MidPbhqghUY0cMPLo72yMwvw4VruejduY3UIdk0hUKBhIQEVFdXw96+1dXlJjIalUoFmUxms3/Pjf5Tv/vuuxAEAbNnz8bKlSvh4lLzBSo8PBwZGRm3nA8eExODOXPmIDk5GVu2bDF2WDZh69at+vdTp05t9PipU6ciNjZWf25LEv3g4GA899xzGDx4sEHHh4SE1Nm+evVqs69t6YrK1PWWItJoRRSVqZmAELVQn85tMKKHH45eTKuT5ANAVbWW91krodWK+PzXKOz8KxEAsCC8N+4fEypxVGQsTnJ7jO4VgN9PJ2H/2WtM9CWmUCgQHx+PvLw8tG3bVupwiExGrVbDycnJZh8YG3Us3MWLFxEfH4/Q0FCsWbNGn+QbolevXjh48CBKS0uN0rNsa9LS0nDmzBn99sCBAxs9p/Yx586dw/Xr15t9/V69emH58uV1huTfzs1DaAwp1EhE1ByPhfeCzDb/jbcIGo0Wn/xwCjv/SoQgAM/N6M8k3wpNHFAzfP9wdCoqKo2z4g81j5OTE9zc3Dh8n6yeSqWy2fn5gJETfV2iOW/ePNjZNb0yrkKhwL/+9S+sW7cOhYWFxgzN6p0+fbrOdvfu3Rs9p2fPnnW2az8oMDXdFAOdLl26mO3arUHtucLJ2Q3XJ0jOLuZcYqIW0N1nFepq9A9puNeK95m0Kqs1eGfTcRyIug6ZTMCiB4bg7iHBjZ9IFqdnkBLtfVxRUVmNoxfTpA7H5imVSuTl5UGr1TZ+MJGF0vXo2yqjDt3Pzc2FIAjo06dPs9sYNGgQqqur8ccff9jsnO3muHTpUp1tQ+octG/fvl4b5vozP3funP69o6MjJkyYYNB5ZWVlBn3WmjU0J18QgNq1KAUB+HDrSf025xITNU1D99nNeJ9Jq6KyGkvWH8XZhGw42MvwxoPDMKw7a/RYK0EQcGf/IKw/cBH7z1zDhH4dpQ7JpimVSly7dg1FRUXw9uZyvmSdVCoVFAqF1GFIxqg9+rrh187OzvX26Z6mlJSUGNRWSkqK8QKzAYmJifr3Dg4OBv2l9vb2rjOcpXYbpvbrr7/q38+ePRs+Pj4Gnefm5lbvZWnzyxqak3/zghM3b+vmEhORYRq6z27G+0w6pRWVWPRtJM4mZMNJbof35o5ikm8D7rxRfT8qMZsjaCTm6uoKR0dH5ObmSh0KkUloNBpUVVXZdI++URN93RPBtLT6Q7K8vLwAAOfPn79tG7rh4xUVFcYMzerVXp6uKbURah9rriXurly5gv379wOoSdyXLFlilusSEZH0CkpVeHH1YVy6ngc3Jwd89NgY9AvxlTosMoN2Pq7o3akNRBE4ENX8ukDUcoIgQKlUIjc3l8tbk1XSdUBzjr6RhIaGQhRF/PHHH/X2hYWFQRRFfPHFF7c8v6ioCCtWrIAgCGjThhVZm6L2SImm/IWu/ZTL0NEWLfXSSy/p54R9+umn8Pf3N/jc0tLSeq+srCxThUpEREaUXViOF1YdQmJGIbzdHPHZwrHoHmi7wypt0cQBQQCA/WeuMcGUmEKhgFqttrgpkESG0CX67NE3kv79+8POzg4bN27EqVOn6uwbNWoUAGDbtm144YUX6vUeR0dHY8KECfoh+4MGDTJmaFavqqpK/74pa0XWPrZ2G6ayYcMG/bD9WbNmYeHChU0639XVtcGXJfF0dYSDfd1b7+ZVP27edrCXwdPVdp9IEjWVIfdZQ2KScuotw0fGkZZbiue/ikBKTgnaeDpj6cJx6NzeS+qwyMxG9fKDk4MdUnNLcTklX+pwbJqXlxfs7Ow4fJ+skkqlAmDbPfqCaOTHqaNGjcLRo0fh5uaGJ598Ei+99BKUSiUAoFu3brhy5QqAmnnk3bp1g7u7O9LS0nDt2jV9G71790ZUVJQxw7J606dP1yfQCoXC4F/avr6++gr4U6ZMwa5du0wW4/nz5zFixAiUlZVh6NChiIiIMMpTtrKyMri5uQGo6fG3hMQ/u7BcPxc4Obu4TkEwnUUPDEagrweAmqSFBcKImsaQ++yZ6f0Ql5KPP2NSoarSAADaebvg3tGhmDSwExwdmr6CDNWXlFmERd9GIr9EBT+lGz5+bAx/p1mx9OJM5JcX3nL/d/su4ERcBkb29MeD47rBx8ULHTzamS9A0rt06RIqKiowYMAAqUMhMqpr164hPT0dw4cPlzoUyRi16j4APPTQQzh69ChKS0vx6aef4o477sDEiRMBACtWrMCkSZMgiiIqKysRHR0NAHWGbtnb2992eD81zN3dXf9e9wTLELXXr6/dhrFdv34dd999N8rKytCrVy/s3r3bpofS+Hq5NPolN9DXA138WAmXqLkMuc+6ByowfVgInpraFzv/SsTPR+KRWVCOz3dEYeOBS5gxsgumDQ2Gm7PcTFFbn9iUfLy2JhIlFVXo3M4THz46Gt7utvv739qlF2di4jf3oqKqke8iHsDWZGDrd4CzgxP2PfYjk30JKBQKXL58GWq12qZ7Psn6qFQqm/87bfREf86cOXWW6ejbt6/+/YQJE7Bu3To8+eSTKCsrqzc3y8vLC999912rfPISHh6O/fv3o7q6WupQGuTr+3cho/LyclRWVkIuv/0X0+rqapSWljbYhjGlp6fjzjvvRGpqKrp3744DBw4YXGWfiMgc3Jzl+Oe4bpg5sit+P52EHw7HIauwHGv3XsDWQ7G4e2gw/jGyK3yYoDbJ+cRsvPHdUVRUVqNboA/emzsK7i58aGLN8ssLUVGlwtK730GwolOjxyfmJeH5XW8gv7yQib4EfHx8IAgCcnNz4efnJ3U4REajVqttulMRMEGi7+rqigceeOCW+2fPno3x48djw4YNOHPmDIqKiqBUKjF8+HDMnj0bnp6exg7JaFpz0Zhu3brp34uiiIyMDHTsePs1ajMyMvRF8W5uw1gyMjIwbtw4xMfHo3v37oiIiDDZAwVLpZtLXHspMM7JJzIuQ+8zRwc7TB8WgimDO+NQdAq2HorFtaxibDsch+1H43HXgCDcPzoU7RVu5v4RLM6J2Ay8vfEYKqu16Bvsi7cfHgFnR6N/7aBWKljRCT3bhUkdBjXCwcEBnp6eyMvLY6JPVkWlUhm03Lg1k+Rf3A4dOuCVV16R4tJWq2fPnnW2r1271miif/163aVtevToYdSYMjMzMW7cOFy5coVJ/m34erlg3Yvhddbv5px8IuNq6n1mbyfDhH4dMb5PIE7EZuD7Q7G4lJyHXSeuYs/JqxjTOwCzxoaxmNwtHDqfgg+3noBGK2JYtw54/cGhkLPeAVGrpFQqkZiYiOrq6iYVdCZqrURRZI8+JEr0b1ZZWYny8nJ4eXk163w7O355GDhwILy8vFBYWAgAiIqKwpgxY257zunTp/Xv3d3dMWTIEKPFo0vy4+LimOQbwJC5xETUMs25z2QyAcO6d8DQbu0RnZSLrYdicepKJiLOpyDifAqGhLXHrLFh6BmkNFHUlmfPyatYvv0MRBEY3zcQL903CPZ2Rl3kh4iMSKFQICEhAQUFBVzemqxCVVUVtFqtzc/RN/q/vJGRkbhw4UKTzomIiIBCoUBAQACWLFny/+zdd3hTZf8G8PtkdI+0CQXKaKGFsvdeRZYgqKCgyBBQedUXt/4UByIOHK8KioKiyFCmyBBEBFkFmVJKyyijQAudJN0jaZuc3x+1kUILTXrS0zb357pyvU1znid3edva73mWzevgRVGslkdNplarMXLkSOvzAwcO3LHNjdeMHDnyjmv6Kys1NRWDBg1CbGzsHYv8+Ph4qFQqhIaGSvLeRESOIAgCOjavh7mP9ceiZ4cgvENjKISS6ekvfrMHLyzajSOxyTX+vxWOtn7/eczbUFLkj+rZHK891INFPlWKs//syMnd3R2enp48Zo/qjNLNxp19RF/y//oOHDjQrmn5oigiMTER7733Hh577DGb2wuVOSDZwdfK7amnnrJ+vG3btjIb7d0sNzcX27Ztsz6/3Xn2586dw7x587Bv3747ZkhLS8OgQYNw9uzZSo3ki6IIs9lcYzc5JCK6WWgjP7w1oTeWvDwc9/RoBrVSgdPxBry17ACe+mIndkclwGy23LmjOkQURSzfeRrf/nYSAPBQeBieG90FCkXt+W8oyevq9Ry5Izg1nU4Hg8HAGy5UJ5SeQMYRfQew9ZfEgAEDcPToUfzvf/+Dl5cXVq5ciYsXL9rcx+XLl2/7iIiIQEhICFxdXTF+/Hj88MMPOHToEM6ePWu9JjY2FocOHcLSpUsxYcIEuLm5oVu3bvj7779x6dIlmzJVt379+mHEiBEAgIKCAsyfP7/Ca+fNm4eCggIAwLBhwzBw4MByrzt79iy6dOmCl156CQMHDsRPP/1UYZ/Xr1/HoEGDcObMGU7XJ6I6r7HOGy8+0A0rXrsH4wa0hLuLCpdSsvDhmiOY9tl2bDkch8Iis9wxHU4URXyz9SR+2nUGADDt7nZ4Ynj7WnWjnOR3+GyS3BGcmlarRXFxMbKysuSOQlRlJpMJCoUCarVa7iiyqhFr9N3d3dGtWzd069YNSqUSL730EiIiImyazu3u7n7bzeeSk5Mxbtw4hIaGYteuXWjatOlt++vZsyemTJmCq1evYsKECRg3bhyOHTtW6TxyWbRoEXr06IG0tDTMnTsX4eHh6N+/f5lrDhw4gI8++ghAyR3cb775psL+li5divz8fOvzBQsWYNKkSbdcV1rknz59GgBgMBgqdUwiR/KJqLbT+bjjP/d0xCMDW+PXQxex8eAFJKfn4ctNkfjxz9N4oF9L3NsrBJ5ude8PDrNFxPwNf2P731cAADPu64zRfbgUi2x37HwKiootUKu41EMO3t7ecHFxgV6vt3vPLKKawmg0wtXV1elvONeIQv9GHTt2BFAyBVxK06dPh7u7O7Zv3w5PT89Kt2vSpAl+//13dOjQAU888QQ2bNggaS6pBQUFYfPmzbj33nuh1+sxbNgwPP300xgyZAgEQcCuXbuwcOFCFBQUwN/fHxs3bkSzZhWfc3vz7IyKZmssWrSozN4MqampSE1NleaLIiKqBbw9XDBxcBs80L8lth+7jJ8jzuF6VgGWbI/Bmr2xuK93CMb0bQE/r7qxZrCo2IKP1h5BRMw1KATg5bHdMaxrsNyxqJbKMxbhSGwy+rXjEW9yEAQBWq0WBoMBISEhTl8gUe3GHfdL1LjbptHR0QBg01SL69evY+3atRW+fvXqVfz++++YMWOGTUV+KS8vL8yYMQNbtmxBYmKize2rW69evXDy5EmMHTsWxcXFmDdvHkaOHIl77rkHn332GQoLC3H//fcjKioK/fr1u21fU6ZMgbu7u/X5s88+W+51FotzrUclIqqIu4sKY/q2wIpX78H/jeuOpgHeyDMWYfWeWEz66Dcs2ByJlPQ8uWNWibGwGLN//AsRMdegUgp4a2JvFvlUZTsjr8gdwanpdDoUFBSUmclJVBuVjug7O7tH9FesWFHha4mJibd9/WYWiwW5ubk4e/Ysli9fDkEQbjvKfDOtVnvb10t3l+/cuXOl+7xZ586dYTabsX//fowfP97ufqpLYGAgfv75Z6SmpiIiIgJXr14FADRu3Bj9+/dHw4YNK9VPu3btEBkZiW3btqFr164VHtn3zjvv4J133pEqPhFRradSKjCsazCGdA7CobNJWLM3FrFX0/HroThsPXIJd3VsgofDW6FZA1+5o9okz1iEWcsPIOayHq5qJWZP7oPuLRvIHYtqmDjDZZuvOxKbjMxcEzRe/ANdDn5+flAoFDAYDHYNjBHVFCaT6Y71oTOwu9CfOnVqhdN6Tp06hWnTptnVryiK8PT0xODBg+2NdoukpJINXsxm+zdFKh2xLu2rtqhfvz7GjRtXpT5atWqFVq1aSZSIiMi5KBQC+rZthD5tAnHy0nWs3huLyAup2HUiAbtOJKBX64Z4ZGBrtAmq+X+UZOeZ8PrS/Th/LQMerip8MK0/2gXr5I5FNYi/hwbuaje8tHVWpdu4q90QWr8hriaJ2B2VgAf6tXBgQqqIQqGAv78/9Hr9HfeyIqqpLBYLCgsLOaKPKq7Rr2i9dlWO5lCr1Vi4cCF8faUb4VAqlRBFEceOHcPQoUPt6uPIkSMQBAEKRY1b7UBERLWAIAjoFBKATiEBOHctHWv3ncOBU9dw+GwyDp9NRodm9TB+YCt0a1m/Rq6P1WcXYOb3EYhPy4avpws+fGwAWjTykzsW1TCBPg2w44n1SM/PLPf1M2nn8Prv70GtVOOHsV/Cx80b/h4aHDudi682n8DOyCss9GWk0+kQGxuLwsJCuLi4yB2HyGYmkwkAuEYfVSj0BwwYUO4fIvv27YO/vz/at29f+RAqFfz8/NC+fXs88sgjNu22XxmlywAWLFiA6dOno169eja1T01NxYIFCwAAzZs3lzQbERE5n7DG/nh7Ym9cvZ6Ddfti8eeJeERfvo7oy9cRGqjB+IGt0K9dYyhryDn0yel5eO37fUhOz4POxx0fPTEAQQE+cseiGirQpwECfcpfztG2fhh+ivwZp1NjcTL5FJ7uXTID9K4OJnyzNQoXkzJxKTkTzRtqqjExlSqd7mwwGCq9zJOoJjEajQDAEX0AgliV4fdyKBQKDB8+HNu2bZOy2yrJy8tDQEAAjEYjQkNDsWLFCvTs2bNSbY8cOYJHH30UFy5cgKenJ1JTU+Hh4eHgxGSLvLw8eHl5AQByc3O5royIap3rWfn4Zf95/Hb0EoyFJcvMArVeeDg8DEO6BMFFpZQtW3xaNl77fh8M2UY09PfEx0+Eo6E/f8+S/X6J2YpXt72DBt71sffJzVArS8ad5vx4EAdOJ+LBfi3x1KiOMqd0XidOnIBKpbJp0I6opkhJSUFsbCz69+8PpVK+/3bWBE4xD93T0xMvvvgiRFHExYsX0adPH/Tt2xfvv/8+Nm/ejMjISJw7dw7nz59HZGQkNm/ejPfffx99+/ZFnz59cOHCBQiCgJdeeolFPhERSa6erweeGtUJK18biUeHtIG3hwuSDLmYt+E4Jn+8DT9HnEO+qajac11IzMDL3+6BIduIoAAffP7UXSzyqcpGtR4GrYc/UnJSseP8Huvnh/5zcsPuqHiYzTzNRy46nQ4ZGRlV2tuKSC5GoxFqtdrpi3zAASP6c+bMQWhoKCZOnChlt1VWWFiIYcOGISIiAgAqvf6x9J9n8ODB2LZtm03H/lH14Ig+EdU1BaZibDt6Cev3n4c+uwAA4O2uxn29QzG6T4tq2ZX81BU93ly6H/mmYrRs7Ie50/rD15NTIUka8/d/iwUHv0OXRh3w86QfAADFZgsembsVmXkmvD+1H3q24tRxOeTn5+Po0aNo164ddDputkm1y7lz55Cbm4uuXbvKHUV2ko/oz549u8YV+QDg4uKC33//HY888giAfwt4URTLfdx4zeTJk7FlyxYW+UREVC3cXVV4sH9LrHj1Hrz8YDc01nkhp6AIK3efxaSPf8PXv55AWqbjzro+dj4FM5dEIN9UjPbNdPjkiXAW+SSpCZ0fhFqhQmRiNKKTzwAoOZJyUKeS3d53HL8iYzrn5uHhAQ8PD+j1ermjENnMaDRyff4/atzU/VWrVuHdd991SN/u7u5YuXIl/vjjDwwfPvy2o/qCIGDkyJH4888/sXz5cu7cSERE1U6tUmB492b4/qXheHtib7Ro5AdTkRmbDl7Eo59swyfrjiI+LVvS99wfcw1vLz8AU5EZ3cMaYO60/vB0441uklaAlw73tCo5CWn58TXWz5dO3z90JgnZ+YVyRCOUbMpnMBiqdJIWkRxMJhPrtn9IPnW/qkaMGIEdO3ZUy7qg7OxsHDt2DBcvXkRmZiYAQKPRIDQ0FD169IC3t7fDM1DVceo+ETkLURRx4mIaVu+NRVRcmvXzfdsEYvxdrdGqif8d+0jLzEdWnsn63NfTFQGakv1ndhy/gs/WH4NFBAa0b4yZD/eEWlXjxgSojohOPo0xK6ZArVBh/9NbUc+rZJr4k1/swKXkLDw3ugvu7RUic0rnlJWVhRMnTqBz586SHnlN5EiiKGL//v1o1qwZmjRpIncc2dl9vF5d4OPjg8GDB2Pw4MFyRyEiIrojQRDQpUV9dGlRH7FX07Fmbyz+Op2Iv84k4a8zSegUEoDxA1uhS2hAubPW0jLzMfXT31FU/O9GZ2qVAsteGYGDZ5Lw9a8nAADDuwXjhQe61Zjj/ahu6tCwLToHdsCJpGisivoFz/d7EgAwrEswvvntJHYcv8JCXyY+Pj5Qq9UwGAws9KnWKC4uhsVi4Yj+PxxW6JvNZuzduxeRkZFISkpCbm5upUbpY2JiHBWJiIiozmjVxB/vTO6D+LRsrN0bi91RCYiKS0NUXBpaNPLDIwNboU/bRmWK9aw8U5kiHwCKii1Ysy8WWw7FAQAe6NsCT47sCAWLfKoGU7o+/E+hvwFP9ZoGV5ULBnVqisW/RyP2ajoS0rLRNMBH7phORxAEaLVa6PV6NG/eXO44RJViNBoBgGv0/+GQQn/ZsmWYOXMmrl+/bnNbURQrvSM+ERGRswsK8MGrD/XA1GHt8HPEOfx+7DIuJGbg3ZWH0KSeNx4aEIbBnYNuOwW/tMifPLgNJg9pw/8OU7UZHjYYDfZ8gZTcNGyL3Ykx7UbCz9sNPcIa4PDZZOyMjMfjw3meuxx0Oh1SUlKQn5/P46WpVjCZSpalcUS/hOQL7xYtWoTHH38c169fr3BH+9s9qsv27dsxY8YMdOvWDfXr17/lG2LhwoX4/vvvUVBQUG2ZiIiI7BWg8cCM+zrjp9dGYuKg1vByU+Pq9Rx89svfmPDhVnyzNQoXkzIrbP9Avxbo3SYQ17P43z2qPmqlChO7jAUALDu+xvq34LAuwQCAPyPjYbbUqO2knIafnx8UCgUMBoPcUYgqxWg0QqFQ8KS0f0i6GV9OTg6aNGmC7OySHYBdXV3Rs2dPtGzZEv7+/nBzc7vjKMFPP/2ES5cuOWwzvoMHD+Lxxx/H+fPnrZ8rnUVw43tOnjwZq1atQr169TBv3jzrsXxU83AzPiKiW+WbirB2byxW7Ym1qV3pmv3SDfqIHC09PxN9F96DQnMh1k1cgq6NO6Kw2IzxH2xBTkERPnysP7q1bCB3TKcUExOD4uJidO7cWe4oRHcUFxcHvV6Pnj17yh2lRpB06v6ePXuQnZ0NQRAwZswYLF68GP7+d94B+EaHDx/GpUuXpIxltXr1akyZMgVms/mOsweaNGkCQRCQlpaGSZMmIS4uDm+99ZZDchEREUnNw1WNfu0a21zoFxVbkJVnYqFP1cbfQ4P72wzHzzG/YtnxNejauCNcVEoM7NgUWw7HYWdkPAt9meh0Opw7dw5FRUUcJaUaz2g0cn3+DSSduh8XV7LGT6PR4Mcff7S5yAfgsOn70dHRmDZtmrXI9/DwQO/evfHggw8iMDDwluvnzp2L+Ph4TJ8+HaIoYvbs2fjzzz8dko2IiIjImU3tVjJz8o9zu5GUnQIAuLtrMADgr9OJyDMWyRXNqWm1WgDg9H2qFUwmE9fn30DSQt9iKdnJt1evXnB3d7erjxUrVjhkRP+NN95AYWEhfH19sWjRIly/fh1//fUXfv75Z7RvX/4mL40aNcK3336LL7/8EqIo4o033pA8FxEREZGzaxXQAj2bdoVZNGPViV8AAC0b+6FpgDdMRWbsi74qc0Ln5OLiAh8fH+j1ermjEN0RR/TLkrTQLz1+w8XFxe4+AgICEBQUJFUkAEB6ejq2b98ONzc37N69G08++aRNNyKeeeYZhIeH4/jx49ZZC0RERDWdr6frLbvt37xVzs3P1SoFfD35hxJVvyldxwMA1pzcAGOREYIgYOg/m/LtjIyXMZlz02q1yMjIsA7oEdVEFosFhYWFHNG/gaRr9IcMGQIfHx+cOnXK7j6uX7+OgoICNG3aVLJcERERsFgsePzxx9GpUye7+pg4cSIiIiJw9OhRhISESJaNiIjIUQI0Hlj2yghk5ZUcOZSQlo2P1h4tc40oAjMf7mE9q9zX05Xr80kWQ0IHoLFvIK5lJWHzme14uONoDOkchKV/xODUFT2SDLkI1HrJHdPp6HQ6XL58GRkZGdap/EQ1TenRehzR/5ekI/re3t544403EBcXh19++cWuPh599FHrzACpJCYmltwVHjrU7j5atmwJURSRnJwsYTIiIiLHCtB4oEUjP7Ro5Gct5m/WNMDHeg2LfJKLUqHE5C4PAQCW/b0aoihC5+uOLi3qA+Covlw8PDzg7u7OdfpUo5UW+hzR/5ekhT4AvPrqq3juuecwZcoU/PDDD3b1IfWGfKXH/dmzOWCpwsJCAEBRETeDISIiInKEcR3ug7vaDef1cTiccBwA/p2+f/wKLBbHbNpMFRMEAVqtFnq93mGbZhNVldFoBMAR/RtJOnUfKNlMr0uXLhgzZgymT5+O2bNn4+6770br1q2h0WjueDRHYmKi1JGs04yuXrV/I5dTp05BEATodDqpYhEREVWr0jX7RcX/rrXlmnyqSXzdfPBAu1FYeWI9lh1fjd5B3dC3bSN4uKqQmpmPmMvX0TEkQO6YTken0+HatWvIycmBj0/5M4OI5GQymaBWq6FUKuWOUmNIXuhPnToVwj87+4iiiMTERCxdurTS7UVRtLaXSosWLSCKIlavXo1HHnnE5vZmsxlLliwBALRu3VrSbERERNXl5jX7ANfkU80zpet4rDyxHrsuRCAh8xqaahpjYMcm2Hb0MnZExrPQl4Gvry9UKhUMBgMLfaqRuOP+rSSfug+UFOs3Tu0pfV6ZhyP069cP3t7e+O233/DVV1/Z3P6///0vTp8+DX9/f/Tu3dsBCYmIiKrHjWv2uSafaqIQbTD6N+sNESJ+ivwZwL/T9yNirqLAVCxjOud04/R9oprIZDJxff5NJB/RB0qOyLN35Ds6OhqZmZmS5lGr1Xj22Wcxd+5cPP/889i9ezdeeeUV9OnTp8I2RqMR27Ztw9y5c3HixAkIgoAXX3xR8tkGRERERFTWlK4PY//lQ1gXvRnP93sSbYO0CNR6IcmQiwOnrmFo12C5IzodnU6H1NRUFBQU2HRMNVF1MBqN8PPzkztGjeKQQn/QoEFYtWqVXW1HjBiBHTt2SJwIeP311/HLL7/g3Llz2Lx5MzZv3gw/Pz906NABsbGxAIAJEyYgNzcXCQkJOHfunHUDPlEU0aFDB7z00kuS5yIiIiKissKb90Ez/6a4nJ6ADae2YnKXhzCsSxCW7TyNHZHxLPRl4OfnB0EQYDAY0LhxY7njEFmJosgR/XI4ZOp+TeTp6Yk//vgDzZo1sy4TSE9Px759+5CamgoAWLt2LX777TfExMTAZDJZrwsNDcW2bdv4zUNERERUDRSCAo92eRgAsPz4GlhEC4Z0CQIARMWlITUjT854TkmlUsHPz4/T96nGKS4uhtls5hr9m0he6N9///3o3r273e0nTZqEt99+W8JE/2ratClOnDiByZMnW3dkLG9fgNLPKZVKTJs2DZGRkQgMDHRIJiIiIiK61QPtRsHLxROX0xOw//Jh1PfzRKfm9QAAf0bGy5zOOWm1WmRlZfG4aapRTKaSDWY5KFuWIDrpgZiXL1/Gjz/+iH379uHcuXNIT08HUPILLCwsDOHh4Zg8eTKCg4PlDUp3lJeXBy8vLwBAbm4uPD09ZU5EREREUnh/12dY+vdqDGjWB0sf+hI7j1/BJz8fQyOdF5a+PJx7J1Uzk8mEQ4cOoXXr1qhfv77ccYgAAHq9HqdOnULv3r05qn8Dh6zRrw2aNWvmsJkDRERERFR1j3Z9GMv+XoOIywcRZ7iCfu0a48vNkUjU5+JMggFtg3RyR3Qqrq6u8Pb2hsFgYKFPNYbJZIIgCHBxcZE7So1SbWv0c3JycPbsWRw6dKi63tLKYrEgIiKizIPri4iIiIhqtqaaxhgc2h8A8GPkWri7qtC/XclGcDuOX5ExmfPSarUwGAywWCxyRyECULLjvqurK2f43MShhX58fDxmzpyJtm3bws/PD+3atUP//v3LXPPMM89g0qRJOH78uMNynD17FgMHDsRdd91lfezevdth70dERERE0ni063gAwC8xW5FtzMHd/+y4v/fkVZiKzDImc046nQ5ms1ny47CJ7MUd98vnsEL/448/RlhYGP73v/8hNjYWFovFuov9jbKysrBq1Sr06NEDTz75pHUzBSlFR0cDKNlkTxAEDBgwAEFBQZK/DxERERFJq09Qd7TUhSC/qAA/R29G+2b1UF/jgXxTMQ6eSZQ7ntPx9PSEq6srDAaD3FGIAPw7ok9lOaTQf+GFF/DGG2+gqKio3OL+RnfffTfCwsIgiiK+//57jB07VvI8ycnJAEp20d+1axf27NmDnj17Sv4+RERERCQtQRAw5Z9R/R8jf4aIf4/a4/T96icIAnQ6HfR6/W3/xieqLhzRL5/khf7mzZvx5ZdfWn/ww8PD8frrr2PBggVo167dLddPmjQJZ8+excqVK+Ht7Y1t27bh66+/ljRTaZbevXsjPDxc0r6JiIiIyLHubzsCGjdfXM1KxO64/RjaJRgAEHkhFfrsAnnDOSGtVguTyYS8vDy5o5CTs1gsMJlMHNEvh+SFfulO9p06dcKpU6ewZ88efPDBB5gxYwYaNWpUYbtHHnkEv/32G5RKJT755BNJMzVp0gRAyZoiIiIiIqpd3NVueLjjaADAsr/XoJHOC+2CdbCIwK4T8fKGc0IajQZKpZKbW5PsCgsLAYAj+uWQtNC/fPkyYmJi0KBBA+zevRutW7e2qX3fvn0xfvx4XLt2DZGRkZLl6tevH5RKJS5evGh3H59//jkee+wxyTIRERERUeVN6jIOSkGJwwl/IzbtAobeMH2fU8irl0KhgFarZaFPsjMajQDAEf1ySFrolx6dN2PGDGg0Grv6uPfeeyGKIqKioiTLFRgYiLFjx+L06dM4duyYXX3s3LkTy5cvlywTEREREVVeoE8DDGs5EACw/PhahHdoAheVAglpOTh/LUPecE5Iq9UiNzfXIRtpE1VW6fcfR/RvJWmhn5aWBkEQ0KNHD7v7CAwMBADJ7xB+++23aNWqFcaPH4+4uDhJ+yYiIiIix5va7REAwOYzv8NkyUO/do0BADsir8iYyjn5+/tDEASO6pOsjEYjVCoVlEql3FFqHEkL/dI1Ei4uLnb3kZWVBQCS/5/l4+ODgwcPYsCAAejQoQOef/557NmzB3q9HmYzz2AlIiIiqum6NuqItvVbwVRswtqTG63T9/ecvIrCYv49V53UajV8fX15zB7JijvuV0zSQj8gIACiKCI2NtbuPg4ePAhBEBAQECBhspIbB/7+/lixYgUKCgrw1VdfYciQIahfvz5cXFygVCpv+9ixY4ekeYiIiIjINoIgYGq3kqP2fjqxHu2aaaHzcUdOfiGOnE2WOZ3z0el0yMjIQHFxsdxRyEkZjUauz6+ApIV+p06dAACLFi2CxWKxub3BYMDixYsBAN27d5cyGkRRtG7UIghCmc9V9kFERERE8hrZahi0Hv5IyUnFrot7MaR0Uz5O3692Wq0WoigiI4N7JJA8OKJfMckL/aCgIMTExGDixInIz8+vdNukpCTcc8890Ov1aNmyJVq1aiVlNCsW7kRERES1l6vKBRM6PQgAWHZ8tXX6/tFzKcjIMcoZzem4u7vD09OT6/RJNhzRr5ikhT4AzJ49G6IoYt26dQgLC8PcuXMRHR1d7gh/ZmYm9uzZg+eeew5hYWE4duwYBEHAO++8I3UsACU7+l++fNmux4ABAxySiYiIiIhsM6Hzg1ArVIhMjEam+RpaNfGHxSJid1SC3NGcjk6ng8Fg4CAaVbvi4mKYzWaO6FdAJXWHU6ZMwZYtW7Bx40YkJSVh1qxZmDVrFlQqFRSKkvsKgYGByM3NRV5enrVd6S+H8ePH4+GHH5Y6FgDA09MTQUFBdrV1d3eXOA0RERER2SPAS4d7Wg3F5jO/Y/nxNRja5VHEXk3HjsgreLB/S7njORWtVov4+HhkZWXZfbw2kT2MxpIZPBzRL5/kI/qCIGDVqlV44IEHykyTLyoqsu7Kn5KSgtzc3Fum0T/88MNYtmyZ1JEkERAQgKZNm8odg4iIiIgA66Z8v53dgXahnlArFbiUnIWLSZnyBnMy3t7ecHFx4fR9qnYmkwkAOKJfAckLfaDkrsr69euxZMkShISEWD9f0dr40NBQLF++HKtXr4ZarXZEJGRkZGDJkiV2t1++fDkuX74sYSIiIiIisleHhm3RObADiizF2HLuV/RqEwgA2Hn8irzBnIwgCJy+T7IwGo0QBKFKR7vXZZJP3b/RtGnTMHXqVOzfvx/79u3DuXPnkJ6eDqBkmk9YWBjCw8PRr18/6074jpCTk4MXX3yxzOeefvppyXf2JyIiIqLqM7XbeJz4NRqrojbg04HDsT/mGnZHJWD6PR2gUjpkPIvKodVqkZSUhPz8fHh6esodh5yEyWSCq6urQ+vI2syhhT5QcpdvwIABsm5md+LECSxbtqzMN8Hw4cNZ6BMRERHVYne3HIQGXgFIyU1DqiUGfl6uyMg14di5FPT+Z4SfHM/Pzw9KpRJ6vZ6FPlUb7rh/e05xq/PcuXPWjzt27IgffvgB4eHhMiYiIiIioqpSK1WY2GUsAODHE2txV8eS/ZR2cPp+tVIoFPDz84PBYJA7CjkRk8nE9fm34RSFfukvHa1Wi71792LKlCmoX7++zKmIiIiIqKrGd3wALkoXnEo5i8ZNS050OhybhOw8k8zJnItOp0N2drZ1820iR+OI/u05pNDfsWMHfv31V+vj4MGDFV67bt06TJ069bbXVFXpUR89evSAj4+Pw96HiIiIiKqXv4cG97cZDgDYcWUrQgM1KDaL2BN9VeZkzkWr1QIAR/WpWoiiiMLCQo7o34bkhX50dDSGDx+OMWPGWB9vvfVWhddnZGRgxYoV6N+/P8aOHYusrCypI6FZs2YAwJ1AiYiIiOqgqd0eAQD8cW43urf1BsDd96ubWq2Gr68vj9mjamEymSCKIkf0b0PyQn/x4sUA/j1Kr0uXLhg9enSF14eEhCA4OBiiKGLjxo0YOnQojEajpJkGDRqEevXq4dixY7BYLHb1MWLECKhUDt+7kIiIiIhs1CqgBXo27QqzaEai5TCUCgHnrmUgPjVb7mhORafTISMjA2azWe4oVMeZTCVLcziiXzHJC/1ff/0VgiCgTZs2+Pvvv3Hs2DE899xzFV4/ZMgQXLp0CRs3bkT9+vVx/PhxzJkzR9JMarUac+bMgV6vx/z58+3uhzMCiIiIiGqmqV1LRvU3ndmCrmEl08h3RF6RMZHz0Wq1sFgsyMjIkDsK1XGlA8Mc0a+YpIX+hQsXcO3aNeh0OuzZswddunSpdNv7778fu3fvhoeHBxYuXIj8/Hwpo+Gpp57CzJkzMXPmTMydOxfFxcWS9k9ERERE8hkc2h+NfQORacyCe70rAIBdJ+JhtnCgprp4eHjAw8OD0/fJ4UwmE1QqFWdc34ak/zInT54EAEyfPh316tWzuX2rVq3w+OOPY8GCBfjrr78wdOhQybKtWLECrVq1woQJEzBr1izMmzcP99xzD9q3bw8/Pz+o1erbtk9MTJQsCxERERFJS6lQYnKXh/Dhnvk4kLwd3h6PwJBtROSFVHQPayB3PKeh0+mQnJwMURQhCILccaiO4o77dyZpoZ+UlARBENC7d2+7+xg8eDC+/PJLxMbGSlroT5061frLRhRFGAwG/PTTT5Vuz19WRERERDXbQx3ux/wD3+CCPg5jQwsQGa3CjsgrLPSrkVarRUJCArKzs+Hr6yt3HKqjTCYT1+ffgaRT93NzcwH8e5ydPfz8/Mr0JaXSDQJvfl6ZBxERERHVbD5u3nig3SgAQKJ4CABw8HQicgt4tnt18fHxgVqt5vR9ciiO6N+ZpCP6/v7+AIDk5GS7+0hJSQFQtZsFFQkICEDr1q3tahsdHY3MzExpAxERERGRpKZ0HY+VJ9bj8LVD6BXQG6lpKuyLvoaRPZvLHc0pCIIArVYLg8GAkJAQueNQHcUR/TuTtNAvPSZv8+bNGDt2rF19bN68GYIgIDg4WMpoAEqO2Vu1apVdbUeMGIEdO3ZInIiIiIiIpBSiDUb/Zr2x//IhKHVngLQO2BF5hYV+NdLpdEhJSUF+fj48PDzkjkN1THFxMYqLizmifweSTt0fMGAAXF1dsXr1amzbts3m9tu3b8eqVavg4uKCgQMHShmNiIiIiJzElK4PAwCiDPsBoRBn4g24ps+ROZXz8PPzg0KhgMFgkDsK1UEmkwkAOKJ/B5IW+h4eHpgwYQIsFgvGjBmDt99+u1LT3bOysjBnzhyMHj0aADBx4kS4u7tLGQ33338/unfvbnf7SZMm4e2335YwERERERE5QnjzPmjm3xS5hbnQNE4AAPwZGS9zKuehVCrh5+fHdfrkEEajEQA4on8HgijxTnNJSUlo3769tcBXqVTo06cPOnTogKCgIHh6ekIQBOTm5iIhIQHR0dE4ePAgioqKIIoi/Pz8EBMTg8DAQCljUR2Wl5cHLy8vACWbOHp6esqciIiIiOS24vhazPnzf6jvEQiPxEmor/HEj6/eA4WCpyhVh+TkZJw7dw59+/a94zHWRLZISkrChQsXMGDAAJ6KdhuSrtEHgMDAQGzYsAEjRoyAyWRCUVERIiIiEBERUWGb0nsNbm5u2LRpE4t8IiIiIqqSB9qNwmcRC5Gan4Rgj6tIy2yKk5euo3NogNzRnIJWqwUAGAwGNGjA4w1JOkajES4uLizy70DSqfulwsPD8ddff1l32rzdpIHS11q2bImDBw+if//+johUoZycHJw9exaHDh2q1vclIiIiIsfxcvXEuA73AQAsftEAgJ2RV2RM5FxcXFzg4+PD6fskOe64XzkOKfQBoHPnzjhz5gyWLl2KgQMHwtXV9Zaz6d3c3HDXXXdh+fLlOHXqFDp16uSoOGXEx8dj5syZaNu2Lfz8/NCuXbtbbjA888wzmDRpEo4fP14tmYiIiIhIWo92fRgCBCTkn0ahwoD9MdeQbyqSO5bT0Ol0SE9Ph8VikTsK1SFGo5Hr8yvBYYU+ULI+f8qUKdi9ezeysrJw/vx5HD58GIcPH8aFCxeQmZmJXbt2YfLkyVCpJF9FUK6PP/4YYWFh+N///ofY2FhYLBbrjYcbZWVlYdWqVejRoweefPJJ6+6ORERERFQ7NNU0xuDQksEcsyYGxiIz9sckypzKeWi1WlgsFmRkZMgdheoQjuhXjkML/Rup1WqEhoaiR48e6NGjB0JCQqp9Y44XXngBb7zxhnXjv9stKbj77rsRFhYGURTx/fffY+zYsdWYlIiIiIik8GjX8QAAgxAFs2Dk9P1q5OHhAXd3d07fJ8mIogiTycQR/UqQtNCPj4+HUqm0PlQqFdatWyflW9ht8+bN+PLLL63FfXh4OF5//XUsWLAA7dq1u+X6SZMm4ezZs1i5ciW8vb2xbds2fP3119Udm4iIiIiqoE9Qd7TUhaDQYkKuazROXrqO5PQ8uWM5BUEQoNVqYTAYbjvARlRZhYWF1iXgdHuSFvonTpwoswZfqVTC3d1dyrew29tvvw0A6NSpE06dOoU9e/bggw8+wIwZM9CoUaMK2z3yyCP47bffoFQq8cknn1RXXCIiIiKSgCAImPLPqH6B50mIsODPyHiZUzkPnU6HwsJC5OTkyB2F6gCj0QgAHNGvBEkL/atXrwIo+YX67rvvIi8vD/fee6+Ub2GXy5cvIyYmBg0aNMDu3bvRunVrm9r37dsX48ePx7Vr1xAZGemglERERETkCPe3HQGNmy/yLenIV8fhzxNXOMJcTXx9faFSqWAwGOSOQnVA6b5pHNG/M0kL/fz8fABA27Zt8dZbb1XbBnt3Unp03owZM6DRaOzq495774UoioiKipIuGBERERE5nLvaDQ93HA0AyHU/jiRDHk7Hs/CsDqXT97lOn6RgNBqtS8Tp9iQt9AMDAwEALVq0kLLbKktLS4MgCOjRo4fdfZR+bfwlRURERFT7TOoyDkpBiTxlPEzKNPzx9xW5IzkNnU6HvLw8FBQUyB2FajnuuF95khb6HTt2BACkpqba3ceuXbuwYsUKqSIBKNm0AQBcXFzs7iMrKwsAoFQqJclERERERNUn0KcB7m55FwAg2/U4ImKuwlhYLHMq5+Dn5wdBEDh9n6rMaDRyfX4lSVrod+jQAT169MDRo0eRnJxsVx+ffvoppk2bJmUsBAQEQBRFxMbG2t3HwYMHIQgCAgICJExGRERERNVlSreSTfnyXM8gpzAbB88kyZzIOahUKvj5+XFmLFUZR/QrT9JCHwB++OEHeHh4YOrUqdaRdLl16tQJALBo0SJYLBab2xsMBixevBgA0L17dymjEREREVE16dqoI9rWbwULipHtehJ/HL8idySnodVqkZWVhaKiIrmjUC3GEf3Kk7zQb9OmDf78809cvXoV3bp1w8aNG2Uv+Dt16oSgoCDExMRg4sSJ1k0DKyMpKQn33HMP9Ho9WrZsiVatWjkwKRERERE5iiAImPrPqH626wlEXkzC9azK/11I9tPpdBBFEenp6XJHoVrKbDajuLiYI/qVJPl2hYMGDQJQcpTGkSNHMHbsWKhUKrRo0QJ+fn5Qq9W3bX/y5EmpIwEAZs+ejcceewzr1q3DgQMH8PTTT2PUqFFo167dLddmZmbixIkT2LhxI5YuXYq8vDwIgoB33nnHIdmIiIiIqHqMbDUMH+35Eob8dOSqzmPXiQSMH8iBHEdzdXWFt7c39Ho96tevL3ccqoWMRiMAcES/kgRR4kNEFQoFBEGwPi/t/sbP3Y4oihAEAWazWcpYEEURY8eOxcaNG8tkUalUUCgUKCwsRP369ZGbm4u8vLxb8j/yyCNYuXKlpJlIGnl5efDy8gIA5ObmwtPTU+ZEREREVJPN3/8tFhz8Dq7FjdDL7WkseenuSv+tSva7cuUKrl69ir59+0KhkHxiMdVx6enpiI6ORq9evTiqXwkO+QkTRdH6KO9zt3s4iiAIWLVqFR544IEy71dUVGRdWpCSkoLc3Nxb8jz88MNYtmyZw7IRERERUfWZ2PlBqBQqmFSJuJh+HrFXOZ28Ouh0OpjNZmRmZsodhWqh0hH9qpyk5kwkn7oPAD179sRTTz1lV9vPPvsMp0+fljhRCVdXV6xfvx5Lly7F3LlzERcXBwAV3mAIDQ3FrFmzMHnyZIfkISIiIqLqV89Lh1Gth2LT6d+R5XocOyP7oXVTrdyx6jxPT0+4ubnBYDDA399f7jhUy5hMJri6unI2SCU5pNBv1qwZpkyZYlfbNWvW2Fzox8XF4YMPPrA+HzlyJB588MEKr582bRqmTp2K/fv3Y9++fTh37px1YxCtVouwsDCEh4ejX79+nMZFREREVAdN6Toem07/jlyXs9gRdQZPjewIF7VS7lh1miAI0Gq10Ov1CA0N5d/ZZBPuuG8bhxT6VWHP9P3169dj2bJlEAQBoiiiQYMGty30gZJfNAMGDMCAAQPsjUpEREREtVSHhm3RObA9TiTFIBnHcOhsOMI7NJE7Vp2n0+mQmJhYZo8losowmUxcm28Dyec9bNy4ES+//LLd7VesWIFLly7Z1OaPP/4AAIwYMQIxMTF49913b7kmISEB169ftzsXEREREdUtU7s9AgDIcY3C9uNxMqdxDr6+vlCpVNDr9XJHoVqGI/q2kbzQv//++9G1a1e72wcEBCAoKMimNleuXIG/vz/WrVuHtm3bQqW6daJCcHAwpk6daneu69evIyEhwe72RERERFSz3N1yEHQeOpgVedh7ZS/Sc4xyR6rzFAoF/P39WeiTTURR5Ii+jerETgapqalo27YtPDw8bntdVXb1f/TRR9G8eXO72xMRERFRzaJWqjCl20MAgEyXv/Fn5BV5AzkJrVaL3Nxc6y7qRHdSWFgIURQ5om8Dhxf6FosFx44dw1dffYXXXnsNTz75ZJnXY2JikJubW6X3UCqVyMvLq1IfleHI4/+IiIiIqPqN7/gA1Ao1ClUpWH98P//eqwZarRaCIMBgMMgdhWoJk8kEABzRt4HDCv2ioiJ8+OGHCAoKQq9evfD888/j008/xffff1/muk8++QQBAQF49tln7f5hb9q0KU6ePImYmBgpohMRERGRk/D30GBUq+EAgNi8fYhLypQ3kBNQqVTQaDQs9KnSSmd/cES/8hyy6/61a9dw7733Ijo6GkDJSHjpjvjlHaNhNBqxcOFCbNq0CVu2bEGnTp1ser8hQ4bgzJkzuOuuu/Dcc8+hf//+CAwMhLu7e5nrCgoK7F5nX1BQYFc7IiIiIqrZnug5ARvPbEGe+hzWH47EzAcHyx2pztNqtYiLi0NxcXG5+2sR3chkMkGpVPJ7xQaCKPH8pJycHPTu3Rtnz54td+qTIAgwm83W5wkJCVi5ciW+/PJLpKamIiAgACdPnkT9+vUr/Z4JCQlo167dbafvV3STobJK29+YnWqGG49nyc3Nhaenp8yJiIiIqLa5d8k0nNHHoL65D/a9Oh9qVZ3YyqrGMhqNOHz4MNq0aYOAgAC541ANd+HCBWRkZKBHjx5yR6k1JP8N9sknn+DMmTMQRRG9evXC0qVLce7cOeTk5ODuu+++5fqmTZvi9ddfx9mzZ3HXXXchLS0NM2fOtOk9mzZtinXr1sHHxweiKJb7AFDha3d6EBEREVHdNqPvZADAdSESf525Im8YJ+Dm5gZPT09O36dK4Y77tpO00DebzViwYAEEQcDs2bNx8OBBTJkyBS1atLjjKKtGo8GmTZsQGBiItWvXIjs726b3Hj58OM6cOYM333wT3bt3h0ajgUIhzZfHYp+IiIiobhvaMhy+ah0sCiO+O7hB7jhOQafTwWAwwGKxyB2Fajij0cj1+TaStNA/fPgwsrOzER4ejtmzZ9vc3tvbG9OnT4fJZMKhQ4dsbt+wYUO89957OHLkCNLT01FcXAyLxWL95TF8+HDrc1sf5c1GICIiIqK6QalQYnzHBwEAkem7kJnLo98cTafTobi42OYBPnI+HNG3naSFfmxsLARBwOTJk+3uo3fv3hBFERcuXJAwGRERERHR7T3VdzyUcEGh8jq+37dd7jh1npeXF1xcXKDX6+WOQjWY2WxGUVERR/RtJGmhX/pDGhISYncfpTvl5+TkSJJJKlyvT0RERFS3+bh5o2fDcADAL2c5fd/RBEGATqeDXq/n39lUIZPJBAAc0beRpIV+6T9+VY6iu3btGoCSafxSslgs2LZtm93tt2/fzvVDRERERHXcy4OmAQDSis/grwtnZU5T92m1WhiNRuTn58sdhWooo7FkGQ1H9G0jaaEfGBgIURSxd+9eu/vYtGkTBEFAkyZNpAtGRERERFQJnRq3RKBrK0AAFkT8KHecOs/Pzw9KpZLT96lCpSP6LPRtI2mhHx4eDkEQ8PXXX+PixYs2t//jjz+wfv16KJVKDBw4UMpoRERERESVMqHjQwCAyOv7kF2QK3Oauk2hUMDf35/H7FGFjEYjXFxcJDtRzVlI+q8VEBCAYcOGITc3FwMGDMCvv/5aqXbFxcX44osvMGbMGADAfffdB19fXymjVdrevXsxZMgQ+Pj4wNfXF3379sWqVatkyUJERERE1e+xfvfAVfSHWTDhiz1r5I5T52m1WmRnZ1tHboluxB337aOSusOPP/4Yu3fvRmpqKsaMGYPQ0FCMHDkSnTp1sk7J2blzJ3JycpCQkIATJ05g27ZtSE9PhyiKcHNzw9y5c6WOhaioKHTt2tX6vEGDBkhMTCxzzdq1azFp0iRYLBbrhiCHDx/G4cOHsX//fixatEjyXERERERUs7iqVejT4G7sSV2NDWc34M0Rj0EhcDTRUbRaLQDAYDAgMDBQ5jRU0xiNRk7bt4MgOmCLy5UrV+LRRx8t9zVRFCEIwi2fA0p23ly7di3Gjh0rdSQ899xz+Oqrr6zP27Zti5iYGOvz1NRUhIWFITs7G4Ig3LLzpyAI+PHHHzFhwgTJs1HV5OXlwcvLCwCQm5sLT09PmRMRERFRbRd9JREPrBkHUSjE1/d9juGtB8gdqU47ceIEVCoV2rdvL3cUqmGOHDkCnU5XpZPdnJFDbk1OnDgRGzduhL+//y3H0pUW0aWfK/1fnU6HrVu3OqTIB4DNmzdDEAQMGjQI58+fL1PkA8D8+fPLFPlPPfUUfv31VyxfvhwdO3aEKIp47733HJKNiIiIiGqW9kGBaKzqDgBYsH+FzGnqPp1Oh4yMDJjNZrmjUA0iiiJMJhNH9O3gsDlI9913H2JjYzF79mwEBwdbi/sbi35RFNGsWTPMmTMH586dw4gRIxyS5cKFC7h69SoaNGiALVu2IDQ0tMzroihixYp/f4HPmjULCxcuxKhRozB58mRERESgQYMGOH/+PM6e5TErRERERHWdIAgY32EsIAKxGVGIM1yRO1KdptVqYbFYkJGRIXcUqkGKiopgsVi4Rt8OkhX6+fn5SE1NRXFxsfVzWq0Ws2fPxqVLl5CQkIAdO3ZgzZo1WLNmDXbu3ImEhATExcVh1qxZ8PPzkyrKLU6cOAEAePbZZ+Hu7n7L6wcPHkRycjIAQKPRYObMmWVe9/b2xhNPPFGmLyIiIiKq2x7q3R2exSUDRAv/+knmNHWbh4cHPDw8eMwelWE0GgHwaD17VGkzvvj4eHz44YfYsmULUlJSrJ9v3749xo8fj+eff95aWDdu3BiNGzeuWlo7JSYmQhAEtGnTptzXt2zZAqDkzu3kyZPLvRnQqVMniKJY5uskIiIiorrL39sNPQKGYU/GRfx27nfMNj4PHzdvuWPVWTqdDsnJyeXu6UXOqfQkBo7o287uEf21a9eidevW+O6776w/kKWP6OhovPnmm2jbti1iY2OlzGuX0jtBPj4+5b6+adMm68cVbbYXEBBQpi8iIiIiqvsm9RwCtVmHIosJa09uljtOnabValFUVITs7Gy5o1ANYTQaoVAooFJJflhcnWdXob99+3ZMmDDBWvQKgmC963bjx1euXMGgQYOQmpoqUVz7lBb4SUlJt7wWGRmJ8+fPQxAENGnSBD169Ci3j/z8fADgju5ERERETqRPm0aobyn5+3DJ0dUwW7hZnKP4+PhArVZz+j5ZmUwmuLm5cYaHHWwu9E0mEx577DHrlBpRFOHl5YVOnTqhb9++aNWqFZRKpfX11NRUPPfcc47IXmlhYWEQRRFbt2695bX58+dbP77djv8nT56EIAg825OIiIjIibiolbivzQgoLG64np+K3XH75Y5UZwmCAJ1OB4PBIHcUqiGMRiPX59vJ5kL/p59+QkpKCgRBQKdOnbBz505kZmbi+PHj2L9/P06fPo3MzEx888038PPzgyiK2LBhA+Lj4x2Rv1J69eoFDw8P/PLLL1i2bJl15/9vvvkGK1eutF43adKkctsXFxdj2bJlAIC2bds6PC8RERER1Rz3dGsJ78KOAEpG9clxtFot8vPzrbNpybmVjuiT7Wwu9Ldt2wYA6NOnDw4dOoTBgwffMpXCw8MD//nPf3Dw4EFoNBpYLBZs375dmsR28PLywtSpU1FUVITHH38c3t7e8PHxwYwZM6wzD+666y506tTplrbp6emYNGkSzp49i4CAgAo39CMiIiKiuqlVE3+08uwPiAKOXTuO2LQLckeqs/z8/KBQKDh9nwBwRL8qbC70IyMjIQgCvv76a7i4uNz22pYtW+K1116DKIqyH0v3wQcfoE2bNhBFEfn5+cjNzbW+5u3tja+//rrM9WfPnkWXLl3QsGFD/PzzzxAEAaNGjaru2EREREQkM0EQcF+3TvAsagkAWH58rcyJ6i6lUgk/Pz9O3yeYzWYUFRVxRN9ONhf6er0eQUFB6NChQ6WuHzNmjLWdnHx9fbF//35Mnz4d3t4lx6KIoohevXph9+7dCAsLK3N9dnY2oqKiUFRUZD1N4IknnpAjOhERERHJbHDnpvA1dQMAbDq9Den5mfIGqsN0Oh2ysrJQWFgodxSSUenRehzRt4/NhX5eXh6Cg4MrfX3ptQUFBba+leT8/Pzw7bffIiMjA8nJycjMzMTBgwfRpUuXW67t3LkzLl++bH1cuXIFPXv2lCE1EREREcmtnq8Hegd3gUtxfRSaC7H25Ea5I9VZWq0WQMkSWnJepYU+R/TtY9fxerb8Y5dO7y/dAO9OVq1ahXfffdeeWJWmUChQv35967F75XFxcUFQUJD10bRpU4dmIiIiIqKabXi3ZtZR/Z9O/Iwic7HMieomFxcX+Pj4yD4jmORVepQ7R/TtY1eh70g//vgj5syZI3cMIiIiIqIy+rQJRD2hHZQWD6TkpGHH+T1yR6qzdDod0tPTYTab5Y5CMjGZTHBxcYFCUeNK1lqB/2qVNHXqVISEhMgdg4iIiIhk4uaiwsD2zeBt6gQAWHacR+05ilarhcViQWZmptxRSCbccb9qWOhXUmpqKq5cuSJ3DCIiIiKS0d3dguFj6gxBVCAyMRrRyWfkjlQneXh4wN3dndP3nZjJZOL6/CpQ2dMoJiYGjz32mEPaxMTE2BOJiIiIiMjh2gZp0dS/PtILWiPX9TSWH1+Dz0Y5dn8pZyQIArRaLdLS0iCKIgRBkDsSVTOj0WjdmJFsJ4iV3SXvHwqFwqE/aKU/yI5aj7NlyxasW7cOkZGRSEpKQm5uLiwWS6Xbc51QzZOXlwcvLy8AQG5uLjw9PWVORERERHXZj3+eweI9fyLJZwXUChX2P70V9bx0cseqczIzMxEVFYUuXbrcdhNtqntEUcT+/fvRvHlzNG7cWO44tZJdI/pA5XfRB2C9MXCnNo68gZCdnY3Ro0dj37591s/ZeI+DdxKJiIiICEO7BGHFnw3hWhwIkyoJq6J+wfP9npQ7Vp3j6+sLlUoFvV7PQt/JFBUVwWKxcI1+FdhV6Lu5uSEgIEDqLABK1sKXnpkopcceewx79+6FIAg2F/hERERERKUa+HuiY/N6yL3aDWlev2JV1AY81WsaXFUuckerU0qn7xsMBjRv3lzuOFSNSutBrtG3n12Ffnh4OLZt2yZ1FgDAiBEjsGPHDkn7jIuLw4YNGyAIAgRBwAMPPICRI0eiZcuW8Pf3h5ub2x1H66dMmYL9+/dLmouIiIiIaqehXYIRdSkFLvCBPs+AbbE7MabdSLlj1Tk6nQ6pqakoKCiAu7u73HGomhiNRgDgiH4V2D11vza5sUBfsWIFJkyYYHMf/MVCRERERKX6t2+Erza7wLOgEwrdI7Ds+BqMbnsPl3pKzM/PD4IgwGAwcK22EzGZTFAoFFCr1XJHqbVq3PF6jphWn5qaCgBo1aqVXUU+ALRv3x4DBgyQMhYRERER1VIermr0b98YPqaOUApqnEo5i8jEaLlj1TkqlQp+fn48Zs/JGI1GuLq68sZZFdg8on/58mWHjm6vWLECBQUFkvap0WgAlBT69vrkk08kSkNEREREdcHQLsHYGRkPn6K2yFBFYdnxNejauKPcseocnU6HCxcuoKioiCO8TsJkMnF9fhXZPKIfFBTksI34ACAgIABBQUGS9tmuXTsAJUevERERERFJoWPzegjQeMAjvzMA4I9zu5GUnSJzqrpHq9VCFEWkp6fLHYWqSemIPtmvxk3dd4S+ffuiXbt2OHz4MPLz8+3qY9WqVXj33XclTlazrFq1yroOauDAgXLHISIiIqrRFAoBQ7sEwdUcgAB1KMyiGStPrJc7Vp3j6uoKb29vTt93IhzRrzqnKPQBYMmSJbBYLHjmmWfsav/jjz9izpw5EqcqERMTgxdeeAHt27eHRqOBr68v2rZti2effRZRUVEOec8bGQwGPPTQQ5g4cSIyMzOr1NfUqVOtpxtU9tGvXz9pvhAiIiKiajakS8lMVEVmewDAmqiNMBYZ5YxUJ2m1WqSnp8NiscgdhRzMYrGgsLCQI/pV5DSFfvfu3fHHH3/gwIEDGDhwIHbu3Amz2SxrJrPZjFmzZqFTp0744osvcPHiRYSGhiIsLAyXLl3CV199hS5dumDmzJkoLi52SIZt27ahffv2+Pnnnx3SPxEREVFd1ljnjWZNFFCYveGt1iDTmIWFh5biVEpshQ9O77edTqeD2Wyu8qAU1XwmkwkAOKJfRU5xvB4ADBo0CEDJ3cCIiAjs378fLi4uCA0NhUajuePGHidPnpQ809NPP43vvvsOAHDffffh22+/RYMGDQCUnBTw1FNPYdOmTfj444+RmpqKpUuXSvbeubm5ePnll7F48WIAwJgxY1BYWIjffvtNkv6bN29e6c1SpN6TgYiIiKi6JGWn4EDB5zD5mICiks99fWgJvj60pMI27mo37HhiPQJ9GlRTytrP09MTbm5uMBgM8Pf3lzsOOZDRWDIjhiP6VeM0hf7evXutxzMIggBRFGEymXDmzJlKtRdFUdLjHRYvXmwt8nv27In169eXKYzr16+PdevWoX///jhy5AiWLVuG7t2747///a8k7z99+nSsWbMGvr6++OKLLzBlyhRMnTpVkr4BYNeuXQgODpasPyIiIqKaKD0/EyazCZ+Peg8h2mZ3vD7OcBkvbZ2F9PxMFvo2EAQBWq0Wer0eoaGhPHatDisd0WehXzVOU+gDJcV6ZT7naLm5uXjrrbeszz///PNyR7/VajU+//xz9O3bFwDw9ttvY9KkSfDx8alyhoKCAgwaNAjLli1DkyZNqtwfERERkTML0TZDuwb2H+VMd6bT6ZCYmIjc3Fx4e3vLHYccxGg0Qq1WQ6lUyh2lVnOqQr9nz5546qmn7Gr72Wef4fTp05LkWLRoEa5fvw4ACAsLQ58+fSq8tk+fPmjVqhViY2NhMBiwcOFCzJw5s8oZXnvtNfTq1Yt3Q4mIiIioVvD19YVKpYLBYGChX4dxx31pOFWh36xZM0yZMsWutmvWrJGs0F+7dq3143vvvfeO1997772IjY21tpWi0O/du3eV+yAiIiIiqi4KhQL+/v7Q6/VcIlqHGY1GTtuXgNPsul9VUk3xT0xMxPHjx63Pu3Xrdsc2N14TFRWF+Ph4SbIQEREREdUmOp0Oubm51g3bqO7hiL40nGZEf+PGjWjcuLHd7VesWIGCgoIq5/j777/LPG/Tps0d27Rr167M8+PHj3OneiIiIiJyOv7+/hAEAQaDAY0aNZI7DklMFEWO6EvEaUb077//fnTt2tXu9gEBAZIU1zfv8h8YGHjHNg0bNrxtHzVRTk4O5s+fj8GDB6NBgwZwcXGBj48PmjdvjrFjx2Lx4sV23TjJy8sr90FEREREdZ9KpYJGo4Fer5c7CjlAcXExLBYLR/Ql4DQj+lW1a9cuJCYm4tFHH61SP3FxcdaP1Wo1tFrtHdv4+fnB1dXVetTEjX3UVH379kVOTg6USiXatGmDNm3aICMjA6dPn8bly5fxyy+/YNasWfjqq68wbty4Svfr5eXlwNREREREVNNptVrExcWhuLgYKhXLmbqkdEkGR/SrzmlG9Kvq008/xbRp06rcT3Z2tvVjDw+PSre78dob+6ipjEYj3nzzTaSkpCA6Ohq7d+/GiRMncP36dbz55ptQKBRIS0vDQw89hE8++UTuuERERERUS+h0OoiiiPT0dLmjkMRKBzY5ol91LPSrWU5OjvVjW+5U3fjNfmMfNZFKpcLPP/+M999/Hzqdrsxrvr6+eP/997Fo0SLr52bOnInff/+9Un3n5ube8khNTZU0PxEREVFlZeTYt4dTup3tqOTvYi8vLxgMBrmjkMSMRiMUCgXUarXcUWo9p5zrkpGRgT///BMnT56EwWCw3jm6nZiYGEneu6ioyPqxLVONbrz2xj5qmh9++AFLliyBUqm87XX/+c9/sHr1auzduxeiKOLll1/G3XffDYXi9veePD09pYxLREREVCU5BSV/l8UZLlfq+tLrlh5fiX6hHaEQOO5mD61Wi8TERFgsljv+/Ui1h8lkgqurKwRBkDtKredUhb7FYsGsWbPwxRdf2LwRnCiKknzD3VioVuYGQ6kbjxCpycWuLb9on3rqKezduxcAcPbsWezbtw933XWXg5IRERERSc/XzRdKqPHS1lmVbqMQFIiI34uXt76Nj++ZDRclRy9tpdPpEB8fj6ysLPj5+ckdhyTCHfel4zSFviiKGD16NH777TeIoljpdlLfTfL29rZ+bMv5nzfeFLixj9qsf//+ZZ7v3r2bhT4RERHVKgGeAWiU+QTMivxKtzEqryHTay9+PbMdmQXZ+Hr0x/BwcXdgyrrHy8sLLi4uMBgMLPTrEJPJZNM+ZlQxpyn0v/jiC2zduhVAydn1Q4cOhUajwU8//YRLly7h7bffLnO90WjEhQsXsH37dhQUFGDs2LFo27ZtlXMEBARYP87Pz0dhYSFcXFxu26a4uBi5ubnl9lGbBQYGwt3d3Tq7ojacJkBERER0I19PV7grNSgq9rF+ThCA240reQmBeHP4cLz55yxEXD6IR9fOwPdj50Hj7lsNiesGQRCg0+mg1+sREhLCqd51hNFo5I0biThFoW82m/Hpp59CEATMnDkT77//vvWXweHDh3Hp0iXMnj273LZpaWmYNGkSDhw4gM8++6zKWVq3bm39WBRFJCcnIygo6LZtkpOTYbFYyu2jtvPx8bEW+txQhYiIiGqbAI0Hlr0yAll5JbMvE9Ky8dHao7dcN7xbMO7rHQqg5OZAgMYDTbQL8cT6F3AiKRrjV03Hsoe+QgPvujGgUx10Oh2SkpKQn59fo5e2UuVYLBYUFhZyx32JOMXOFSdPnkRSUhK6deuGDz74wKY7fgEBAfj111/h6+uLF198scpZ2rVrV+b5lStX7tgmPj6+zHMpZhbUFDcuX3B355Q1IiIiqn0CNB5o0cgPLRr5oWmAT7nX7I2+Bn9vN7Ro5IcATcnU5C6NOmDNhO9Q36seLugv4aGfHsfl9ITqjF6raTQaKJVK6PV6uaOQBEqXKnONvjScotCPiooCAEyePNmu9m5ubnjmmWewadMmpKSkVClLt27doNForM9PnDhxxzZ///239WNvb2/07NmzShkcZd++fVi/fj2uX79eqeuNRmOZowLr16/vqGhEREREsjIWFmPhlqhbPt+yXgjWTVqCYL+mSMxOxkMrH8eplNjqD1gLKRQK+Pv7s9CvI0oLfY7oS8MpCv309HQIglDulPfKju63b98eFovFuku8vdRqNUaOHGl9fuDAgTu2ufGakSNH3nFNv1xmz56NcePG4a+//qrU9dHR0WWWJNTUGxhEREREleXr6Qq1quyf2CqlAoIARMRcw6EzSbe0aewbiLUTv0fb+q2Qnp+BiaufxKH4v2+5jm6l1WqRk5Nj02lWVDOVzvTliL40nKLQN5vNAMo/t750unhmZuZt+yj95ZGUdOsvZ1s99dRT1o+3bdtWZqO9m+Xm5mLbtm3W508++WSF1547dw7z5s3Dvn37qpyxKiozSwEA1q9fb/1YrVZj+PDhjopEREREVC1K1+wvfHaI9bH8/0Zg3IAwAMCCzZHINxXd0k7n6Y+Vj3yDXk27IbcwD4/9/Cz+OL+nuuPXOlqtFoIgcK+nOsBkMkGtVkOpVModpU5wikLf398fAHDt2rVbXivd1fHG6fHlOXjwIARBQHFxcZXz9OvXDyNGjAAAFBQUYP78+RVeO2/ePOtmdcOGDcPAgQPLve7s2bPo0qULXnrpJQwcOBA//fRTlXPaa+nSpdbMFUlKSsK3335rfT5t2jQEBgY6OhoRERGRw924Zr90Tf7kwW3Q0N8T17MKsPSPU+W283b1wg/jvsCwlneh0FyEZza9hnUnN1Vv+FpGrVbD19eXhX4dYDQaOZovIaco9Fu3bg1RFLFly5ZbXmvbti1EUcT//ve/CtsnJibiq6++AiDdOvJFixZZj8mbO3cu9u/ff8s1Bw4cwEcffQSgZFfRb775psL+li5divz8f89vXbBggSQ57XH16lU88sgjyMvLK/f11NRUjBo1CtnZ2QCAli1b4uOPP67OiERERETVys1FhefHdAUAbD50EWcTyi9MXVWuWHD/h3iow/2wiBa8vv19fHtkeXVGrXW0Wi0yMjKss3ipdjKZTFyfLyGnOF6vS5cucHFxwYYNG7B161aMGjXK+tqgQYMAAH/++SfGjh2L999/H61atQJQcn79tm3b8MILL8BgMEAQBPTp00eSTEFBQdi8eTPuvfde6PV6DBs2DE8//TSGDBkCQRCwa9cuLFy4EAUFBfD398fGjRvRrFmzCvsTbzqs9ebn5bl5qnxMTIz14+jo6Fte/+STT9ChQ4cK+9PpdNaPN2/ejLCwMDz22GPo0aMHNBoN0tPTERERge+//x5ZWVkASv6/2bBhQ5kNComIiIjqoq4t6mNI5yD8eSIe8zYcx8Jnh0ClvHXcTaVQYe7wt+Dv4YdvDi/DJ3sXID0/EzMHPsfz4suh0+kQFxeH9PR01KtXT+44ZCej0WidbU1VJ4iVqQjrgLvvvhs7d+6ESqXCmDFj8Omnn6JJkyYASjaBu3Hqvo+PD7y9vaHX62EymSCKIgRBQP/+/au8Gd/NkpKS8Pzzz2PTpk23LAtQKpUYNWoUFixYYM1akVOnTqFHjx7WKfMrVqy44ykDtv6HYs+ePRUuHQBKbi7s3r0bK1aswLZt2267A2pQUBCef/55/Pe//63yFJ28vDx4eXkBKNnTgOeoEhERUU2VlWfCY59tR3Z+IR4f3h7jB7a67fXfH/0JH+6ZDwB4sN29mDviTagUTjFWZ5OjR4/Cx8fHOmBHtYsoijhw4ACCg4PvWPdQ5ThNob9y5Upr4SsIAn7//XcMGzYMAHD8+HH079/fWtSXx8vLC0eOHCl3534ppKamIiIiAlevXgUANG7cGP3790fDhg0r3UdsbCy2bduGrl27Ijw83CE5K8tisSA2NhanTp1CcnKytQCvV68eunXrhrCwMMnei4U+ERER1SY7I+PxybqjcFEpsPiFu9FI53Xb63+J2YrXf38PZtGMIaED8MV9c+Gm5hTnG126dAnJycno06cPZz3UQkVFRfjrr7/Qpk0b6/JmqhqnKfSLiooQGRlpfd66dWv4+PhYn+/evRtTpkxBYmLiLW1DQ0OxatUqdOvWrVqykm1Y6BMREVFtIooiZv6wH5EXUtEpJACfPDHgjsXprosReHbz6zAVm9CjSRcsfvBzeLve/gaBM8nOzkZkZCQ6d+4MX19fueOQjXJzc/H333+jS5cuZWo0sp/TFPqVkZ+fjy1btuD48ePIysqCTqdDnz59MHz4cB7zUIOx0CciIqLaJtmQi+nzd8BUZMYrY7vj7m7Bd2xz9Gokpq9/EbmFeWgd0BJLx32Jel66O7ZzBqIo4uDBg2jQoAFCQkLkjkM20uv1OHXqFHr37s2d9yXCQp9qPRb6REREVBut3ReL73+PgbeHC5a8dDf8vO48Hf9M6jlM+/k56PMMaKppjOUPf4WmmsbVkLbmO3fuHDIzM9GzZ0+5o5CNEhMTcfHiRQwYcOfZLVQ5TnG8Xk5ODh577LEyj2PHjskdi4iIiIic2Nh+LRHSUIOc/EJ8u/UkACAtMx8XEjOsj7TM/DJt2tQPw7qJS9DEtxESMq/hoZ8eR2zaBTni1zharRYFBQVljpym2sFoNMLV1ZVFvoScYkQ/IiICAwcOLPONs3r1ajz00EMypiKpcESfiIiIaqtzV9Px3MJdsIjAqw91x7wNx1FUbLG+rlYpsOyVEQjQeJRpl5arx9R1z+Dc9YvwcfXGd2PnoVvjTtWcvmYxm83466+/EBwcjKZNm8odh2xw5swZFBYWolOnTnJHqTOcYkT/3Llz1o87duyIH374QfZd6YmIiIiIwpr4Y3SfFgCAJb/HlCnyAaCo2IKsPNMt7QK8dFg9YTG6NuqIbFMOHl07A3viDlRL5ppKqVTC398fBoNB7ihko9IRfZKOUxT6pT/sWq0We/fuxZQpU1C/fn2ZUxERERERAVOHtUOAxgOGHKNN7XzdfLD84a9xV0g/mIpNePKXl7Hx1G8OSlk7aLVaZGVlobCwUO4oZAOTyQQ3Nx4ZKSWnKPQ1Gg0AoEePHjyugYiIiIhqjLTMfFzT52Bs/5YVXpOQll3hmn13tRsWjfkUo9veA7Noxiu/zcbSY6scHbvG0mq1AMBR/VrEYrHAZDJxRF9iKrkDVIdmzZoBKDl2g4iIiIioJkjLzMfUT3+/Zbr+jQQB+GjtUevz8tbsq5Uq/G/kO/B31+CHv1fh/d2fI70gEy/1f9rpNjdzcXGBj48PDAYDGjZsKHccqoTS2Rcc0ZeWU4zoDxo0CPXq1cOxY8dgsVT8i/R2RowYAZXKKe6LEBEREVE1yMoz3bbIB4Cbx6kqWrOvEBR4Y9CLeGXADADAwkM/YNaOD2G2mCXLW1vodDqkp6fDbHa+r702MhpLlqxwRF9aTlHoq9VqzJkzB3q9HvPnz7e7H84IICIiIqKaShAEPN17Gt6/+w0oBAVWR23A87++AVOxc61X12q1sFgsyMzMlDsKVYLJVHLjiiP60nKaIeqnnnoKCQkJmDlzJoxGI1599VWO0BMRERFRnfNIpwfg5+6LF7e8hd/P7UKWMQeLxvwPXq7OcQSxh4cH3N3dodfrrWv2qeYyGo1QqVRQKpVyR6lTnKbSXbFiBVq1aoUJEyZg1qxZmDdvHu655x60b98efn5+UKvVt22fmJhYTUmJiIiIyBn4erpCrVKUmb4vCLdO17+RWqWAr+edpzgPDxsMb1dvPL3xFRyMP4pJa57GknFfQOvhJ0X0Gk0QBOh0OqSmpkIURafbp6C24Y77jiGITjIfXaFQWH/IS79kW37oS39JcK1PzZOXlwcvLy8AQG5uLjw9neNuNREREdV+aZn51jX3CWnZZTbeu1FjnReeua8zmgT4lNmI706ik8/g8Z+fQ3pBJpr7B2H5w18j0KeBJNlrsszMTERFRaFLly48dauGi46OhiAIaN++vdxR6hSnWKNfShTFMuvsS59X5kFEREREJLUAjQdaNPJDi0Z+aBpQfkHq5abGNX0uvtwcCbPZto2lOzRsgzUTv0dD7/q4lB6PcT89jov6y1JEr9F8fX2hVquh1+vljkJ3wBF9x3CaqfsAEBAQgNatW9vVNjo6mht6EBEREVG1e3lcN3y79SSSDHl44Zs9+PCx/mjeUFPp9iHaYPw86QdMXfcMLhou4+GVT2DJuC/QKbCd40LLTBAE+Pv7w2AwoHnz5nLHoQqIogij0cgd9x3AqQr9QYMGYdWqVXa1HTFiBHbs2CFxIiIiIiKiEuWt2VerFGjZyB/znh6EN37Yj8spWXjp2714b0pftG9Wr9J9N/SpjzUTv8MTP7+AqORTmLzmaSwa8z/0a9bLEV9KjVC6Tr+goADu7u5yx6FymM1mmM1mjug7gFNN3SciIiIiqqkCNB5Y9soILHx2iPWx7JURCNB4QOfjjs+fHIh2wTrkGYswc0kEDp5Jsql/P3cNVoxfiP7BvZBfVIAn1r+A387udNBXIz9/f38IgsDp+zWY0WgEAI7oO4DTFPr3338/unfvbnf7SZMm4e2335YwERERERFRWTeu2W/RyK/Mxnte7i746PEB6NW6IQqLLZjz00Fs/9u29faeLh5YPHYeRrYaiiJLMZ7/9Q2sPLFe6i+jRlAqlfDz84PBYJA7ClXAZCrZiJIj+tJzml33qe7irvtERETkTMxmCz7fcBw7jl8BADwxoj0eDm9lWx8WM+b8+T9rkf9CvyfxTJ8n6txRdElJSbhw4QL69Olzx+O0qfolJibi4sWLGDBgQJ373pOb04zo2+P06dN44YUX8P3333MjPiIiIiKqEZRKBV4Z2w0PDQgDAHz/ewwWbzsJi6Xy43dKhRJzhr6GZ/tMBwDMP/At3t31KSyibbv613RarRaiKCI9PV3uKFQOk8kEV1dXFvkO4DSF/qBBg/D666/b1ObatWv48ssv8eSTTyIkJAT79u1zUDoiIiIiosoTBAHT7+mA6SM6AAB+jjiPT9cfQ7ENx+8JgoAX+j+Jt4e8AgBYcXwtXt76NgrNRQ7JLAdXV1d4e3tznX4NxR33HcdpCv29e/fi5MmTNrUJDAzEiBEjoNPpkJGRgQkTJqCwsNBBCYmIiIiIbPNQeBheGdsdCoWAnZHxmPPjQRgLi23qY0rX8Zh37/tQKZT49cx2PPnLy8gvLHBQ4uqn0+mQnp4Oi6VuzVaoC0wmE9fnO4jTFPr2aN++PX777TckJCTg7rvvRkpKCnbt2iV3LCIiIiIiq7u7BeOdSX3golLgcGwyXv9hP3LybRucuq/NcCx+cB7cVK6IuHwQj66dgcyCLAclrl5arRZms5lLcWsgjug7Dgv9SnB1dcWMGTMgiiJiY2PljkNEREREVEbvNoH4+IlweLqpceqKHi8v3gt9tm2j8uHN++DH8Yvg6+aDE0nRGL9qOlJy0hyUuPp4enrCzc2N0/drGFEUOaLvQCz0K0mhKPmnKj3rkYiIiIioJmkXrMPnTw6Ev7cbLqdk4cVFu3FNn2NTH10adcCaCd+hvlc9XNBfwkM/PY7L6QkOSlw9BEGAVquFwWAADxyrOUqP1uOIvmOw0K+EtLQ0zJ8/H4IgwN/fX+44RERERETlat5Qg/lPD0Kg1gspGfl4cdEeXEjMsKmPlvVCsG7SEgT7NUVidjIeWvk4TqXU7lmtOp0OJpMJubm5ckehf5QW+hzRdwxBrGO3tZo3b17u569cuQJ3d3fUr1+/0n1ZLBbk5uYiI+PfX47Hjh1Dly5dqpyTpJOXlwcvLy8AQG5uLjw9PWVORERERCSvjFwj3ly6HxcSM+HhqsI7k/uic2iATX3o89Lx2M/P4nTqOXi5eOLbBz9Dr6bdbOojKTsF6fmZlb7e30ODQJ8GNr1HZVgsFhw8eBCNGzdGcHCw5P2T7VJTU3H27Fn069cPKpVK7jh1Tp0r9BUKRbnnMIqiaNf5jDf+84SHh2PPnj1VykfSY6FPREREdKs8YxHeWfEXoi5dh1qpwOvje6J/+8Y29ZFjysWTG17GkYTjcFG64Iv75mJYy4GVapuUnYJh349FQVHll766q92w44n1Din2z5w5g/z8fHTrZtvNCnKMhIQEJCQkoF+/fnJHqZPq5K2Tiu5d2HtPw83NDQ8//DA+++yzqsQiIiIiIqo2nm5qfDCtPz5aewT7TyXivVWH8NzoLhjVM6TSfXi7emHpuC/xwpa3sOP8HszY9Co+uPsNPNRx9B3bpudnoqDIiM9HvYcQbbM7Xh9nuIyXts5Cen6mQwp9nU6HM2fOwGg0crp4DcAd9x2rzhX65Y24i6KIQYMGoUePHvj4448r3ZdKpYKfnx9atGgBtVotZUwiIiIiIodzUSvx5oTeWLA5Er8duYQvNkYiK9eECYNaV3q2q6vKFQvu/xCz/vgQ66I34/Xt7yPDmIUne06pVPsQbTO0a9CqKl+GJPz9/SEIAgwGAxo1aiR3HKfHHfcdq84V+uHh4RW+5u/vf9vXiYiIiIjqGqVCwPOju0Dj6YqVu89i2c7TyMwz4elRnaBQVK7YVylUmDv8Lfi5a/DtkeX4ZO8CpOdnYubA5+xaHisHlUoFjUYDvV7PQr8GMBqN8PX1lTtGncVd94mIiIiI6jhBEDB1WDvMuLcTAGDTwYv4aO0RFBVbbOrj1YHP4vW7XgAAfH/0R7y27V0UW4odkNgxdDodMjMzUVxcezLXVRzRdyynKfQtFgu2bdsmdwwiIiIiItmM7tsCr4/vCaVCwJ6TVzFr+QEUmGwrep/oMQkf3zMbSkGJX05twYyNr8Jow4Z7ctJqtRBFEenp6XJHcWrFxcUoLi7mGn0HcppCn4iIiIiIgEGdmuK9qf3gplbi+IVUvPr9PmTlmWzqY2z7e7FwzCdwUbrgz4sRmPbzczh/PQ6nUmKtjzjDZQd9BfZzc3ODl5cX9Hq93FGcmslU8v3GEX3HqXNr9O2xcOFC6w/722+/LXMaIiIiIiLH6t6yAT6ZHo43lx1A7NV0vPjNHnz0+AAEaDwq3ceQFuFY/vBXmL7+RRy9GolRSyfALJodmFoaWq0WiYmJsFgsUCg47ikHo7FkBghH9B2H39kAFixYgDlz5mDOnDlyRyEiIiIiqhatm2ox76m7UM/XHVev5+CFRbsRn5ZtUx89mnTB6gmLoXHzhVk04/NR72HzlJ+wecpP+HzUe3blMhXbNrvAVjqdDsXFxcjKynLo+1DFTCYTBEFgoe9ALPT/IYqi3BGIiIiIiKpVUIAP5j89CE3qeeN6VgFe/GYPziYYbOqjTf0wfHRPyazY0qP02jVohRBtM7syPbnhZayK+gVFZsdsmOfl5QVXV1cYDLZ9nVR1SdkpOJUSi9ikC0g3ZeJ06rkyyz1ufiRlp8gdudbi1H0iIiIiIicWoPHAvKfuwlv/TON/9bt9eHtyH3Rv2aDSfTT0ri9ZnoyCTMz640MsOboSL/V/GiNaDYZCkG58UhAEaLVa6PV6hISE1JrjAWu7pOwUDPt+LAqKjGhqbgAXUY2LJ67eto272g07nliPQJ/Kfy9SCRb6REREREROztfTFZ88EY45Px3E8QupmLXsAF59qAcGdWpa5b4ruylf6XXTe0zGL6e24kpGAp779XW0O9oar4Y/g77BPaucpZROp0NSUhLy8vLg5eUlWb9UsfT8TBQUGfH5qPegvC5C7aJGo+ZNKrw+znAZL22dhfT8TBb6dmChT0REREREcHdV4b0p/fDJz0ex9+RVfLjmCLLyTBjTt4Vd/fl7aOCudsNLW2dVPoPaDY92fRjP9HkCS/9ehe+O/ohTKWfx6NoZ6BPUA/8X/gw6NGxjV54baTQaKJVKGAwGFvrVLETbDLk5mQgICEDzBs3ljlNnsdAnIiIiIiIAgFqlwOsP94Svhys2H7qIhVuikJVnwpShbW2e4h7o0wA7nliP9PzMW14rHa39fNR7Zdby+3torKO3z/adjgmdx2LhwR+wKmo9DsYfxZgVj+KesCF4acDTaOYfZPfXqVAo4O/vD71ej6Ag+/sh24miCJPJxI34HIyFPhERERERWSkUAmbc1wl+Xq5YtvM0Vu4+i8xcE54d3QVKhe3F/u2mXZdu3lcRrYcfZg15GdO6P4L5B77FplPbsO3cn/jj/B6M63Afnuv7H9T3rmdTplI6nQ5nz55l0VnNiouKIYoi3Nzc5I5Sp3HXfXDHfSIiIiKiGwmCgImD2+D5MV0gCMBvRy/h/ZWHUFhkdvh7p2Xm40JihvWRlpmPxr6B+HTkHPz22GoMDu0Ps2jGmpMbMWjxaHyydwGyjLYdCwgA/v7+EASBu+9Xs6LCIgDgzRUH44g+gN27d6OoqEjuGERERERENcqoniHw8XDFR2uO4MDpRLy5dD/eebQvPN3UDnm/tMx8TP30dxQVW6yfU6sUWPbKCARoPBBWLxSLH5yHv69F4ZO9C3A88SS+PbIcq6M24KleU/Bo1/FwV1dupFitVsPX1xd6vR6BgYEO+XroVkWFhQDAEX0H44g+gMDAQAQFBXF9DhERERHRTQa0b4wPpvWHu4sKUZeu45XFe5GRY3TIe2XlmcoU+QBQVGxBVp6pzOe6Ne6EtRO/x3cPzkNLXQiyTTn4ZN9XGLx4DNZEbUSxpbhS76fVapGZmQmz2fEzFahEUWERlEolVCqOOTsS/3WJiIiIiOi2OocG4NP/DMSbS/fjYlImXvhmDz56fAAa+nuWuc7Wo/SqQhAEDArtj/DmffDrme2Yt/8bJGYn480/PsD3x37Ey/3/i+Fhg2+7iaBOp0NcXBzS09NRr559a/2pckSx5AZOUWERPN28ZU5T9zl1oX/58mVERETg/Pnz1rU5Wq0WLVu2RHh4OIKDg+UNSERERERUQ7Rs7Id5T9+F15dEIMmQixcW7cZHjw9Aswa+dh+l5++hQVpmvnXEPiGt/LX2N37e19MVARoP63OlQokx7UbinlZDsSrqFyw8uASX0xPwzOaZaN+gDf4v/Bn0De5RfgZ3d3h6esJgMLDQd6AcUy7m7p4HACguLIKrD9fnO5ogOuFOdLt27cK7776LAwcO3Pa6AQMGYNasWRg0aFA1JSN75OXlWc8/zc3Nhaen5x1aEBEREZG99NkFeH1JBK6kZsPLTY33pvZDu2AdkrJTyj1KryL+HhqoLD63rMkXBODGCuXm5zeu2S9PrikPS479hCXHViKvMB8A0C+4J14JfwbtG7S+5fpLly4hOTkZffr0sfkIQbqzi/rLeGrjy7icngAAmNf9HbRq3BItW7a8bbtTKbG4f/kkbJ7y021PZqDyOd2I/ksvvYQvvvgCQMlu+xX9MIuiiIiICAwdOhQvvvgiPv300+qMSURERERUI+l83PH5k3dh1vIDOB1vwGvf78NbE3qjd5vA2x6lV54LiRm3rMm/eRjy5uela/YrKvS9XD3xfL8nMbHzOCw89ANWnViPA1eO4MCVI7in1VC81P9pNPNv+u/Xo9MhISEBWVlZ0Gg0NuWn2/vj/B7832+zkVeYD52HP/T56UjJSIWPny8KUyy3bSvF8g5n5lQj+s8++ywWLlwIwLYj9QRBwIwZM/Dll186KhpVAUf0iYiIiKqfsbAYH6w6jMOxyVAoBLz8YDcM6xpsff3GKfnArVPugZJC/78L/rT5vRc+OwQtGvlV6tqrmYmYf+BbbD79O0SIUCmUeKjDaDzbdzoCvHQQRRGHDh1C/fr1ERISYnMWupXZYsb8A99i4aEfAAA9m3bFG3e9iAkrpyO0oAnilcnIVOTcsR93tRt2PLHe5htI5ESF/tatW3HfffcBAFQqFUaPHo17770XHTp0QNOmTeHl5QVBEJCTk4OEhARER0djy5Yt2LRpE4qLiyEIAn799VeMHDlS5q+EbsZCn4iIiEgexWYLPv/lb+yMjAcA/OeeDhg3IOyOx+SVOnY+BW/8sN/m97Wl0C8Vm3YBn0Z8jT1xJct33VSumNZtAv7T81EkxychMzMTPXr04PT9KsoyZuPFLW9h36WDAIDHuk3Aa3c9B5VChbiUyzj+93EEhTWDp/ed/2b399CwyLeT0xT6nTp1QnR0NDp37oy1a9ciNDS0Uu0uXLiAhx9+GFFRUejYsSNOnDjh4KRkKxb6RERERPIRRRHf/R6NnyPOAwAeGhCG8A6NMeOrXbdcW1qgp6TnYV3EOfx+9BKKLWXLkZvX5N9MpVRg+f9VvEb/To5dPYFP9i1AZGI0AMDXzQdPtJuAlghGn9594OFhX791ka37LmQUZOLtHR8hIfMa3FSu+HDELNzXZrj19fT0dERHR6NXr15wc3NzQGIq5RSF/qVLlxAaGopGjRohJibG5rU36enp6NChA5KTk3HhwgU0b97cMUHJLiz0iYiIiOS3bt85fPd7SfHcq3VDHD6bfMs1syf1xuGzyfjzRDzM/xT4LRppMKxrM7Rp6o+r13Pw0dqjt7Qb278ldhy/guz8QuvzqcPawVWttCurKIrYdTECn0Z8jQv6SxBEAb2UHTGk612YNPBhqBROt5XZLZKyUzDs+7EoKDJWuo1CUMAiWtDYNxCLxvwPbeqHle0zKQnnz5/HgAEDoFAopI5MN3CK7+BDhw4BAP773//atcGGv78//vvf/2LWrFk4dOgQC30iIiIiopsM7NgEBYVFWLn7bLlFPgC8+9MhlI4ytgvSYurd7dGhmc46Xb6iafODOjXFhLtaY9HWKOyMjMf6/edxJDYZr4ztjjZBWpuzCoKAIS3CcVdIP2w6/TvmH/gGyRlpWH1oPVbFbcTLA/6LYS3vcupp/On5mSgoMuLzUe8hRNvsjtfHGS7jpa2z0KlhO3w/bj783DW3XGMymeDq6soivxo4RaGfmpoKQRDQrVs3u/vo3r07RFFEamqqhMmIiIiIiGq/8tbkl+fGqcTnEjPQ0N+z0sW0t4cLXn2oB/q3a4z5G4/j6vUcvPjNbjzYvyWmDLVvdF+pUOLB9qMwqvVQLNu7EvuO78dxwxn8d9Or6NiwLf4v/Fn0DrK/hqgLQrTNbDrebvbQ/yu3yAcAo9EIV1dXiZLR7ThFoW+xlPzCUSrtm9pzY9vSvoiIiIiIqERWnumORf7Nyjsmz9fTFWqV4pZN/Hw9/y0Oe7cJRNtgHRZticKfJ+Lxc8R5HD6bjFfGdUebpraP7gOAq8oV0wZMQjOhMbqYzmF57DqcTD6NSWueQv9mvfF/4TPQtn5JsWvrunVHbShXU3LcTCFUXHOZTCauza8mTlHoBwQEQBRFREdHY9CgQXb1ERUVBUEQEBAQIHE6IiIiIiICgACNB5a9MuKOx/L5eLjgtYd7oH/7xviidHR/0W6MHRCGKUPawsWO0X0XFxfo/HQY7hKIqeET8NXBJVgTtQH7Lx/C/suHMKr1MEzoPBaP//ycTevWHXFEnD3r52vCUXVGoxHe3t6yvb8zcYpCv3TK/qJFi/Dkk0/C3d3dpvb5+flYtGhRmb6IiIiIiEh6ARqPSu+o36dNINoF67Dw1xPYFZWAdfvO4fDZJPzfuB5o1cTf5vfW6XS4cuUKWrdujXeGvorHuk/AvP3f4Ncz27H17A78HvsnzKLF5nXr6fmZkhbY9q6flzqHLURR5Ih+NXKKQr9NmzYICQnBxYsXMWbMGKxevRp+fpU7dzMjIwPjx49HXFwcWrRogTZt2jg4LRERERFR7VLelPubj8m7+fnNU/Lt5ePhgpnje2JA+5K1+wlpOXh+4S6MGxCGR20c3dfpdLh06RIyMjKg0+nQVNMY8+59H9N7TManEV9bz4a3dd26o0iVI68wHwmZ1xCfcbXkkZmIM6mxEiT8V2FhIURR5Br9auIUhT4AzJ49G48++ih27tyJ5s2bY/r06Rg5ciQ6dOhwS9GfkZGB6OhobN26FUuWLEFWVhYEQcDbb78tU3oiIiIioprr5in3CWnZtxyTJ4rAzId7oGmAD4Dyp+RXRZ+2jdAuWIevt0Rhd1QC1u47h8Nnk/F/47ojrJKj+x4eHnB3d4fBYIBOp7N+vk39MPww7kusidqIN//4QLLMlXXzevw4w2W7+jl//SIupV9BfMY1xGdeRULGNcRnXoM+zyBR0oqZTCXfGxzRrx5OU+hPmjQJmzdvxi+//ILs7Gx89tln+OyzzwCU/EDfeA57fn6+tZ34z23HcePGYeLEidUfnIiIiIioFqjMlPumAT5o0ahyM2vt4ePpitdvGN2PT8vGcwt34aHwVpg8pA1cVHce3dfpdEhNTYUoirecCNCuQWtHRa+QPevxK/J/296p8DV/dw2aahojyK8JmmoaQ6lQYP6Bb6v8nqWMxpL8HNGvHk5T6APATz/9BAD45ZdfIAiCtYjPy8tDXl5ehe3Gjh2LFStWVEtGIiIiIiKqmr5tG6F9sA5f/XoCe05exZq9sTh0JqlSo/tarRZXr15FTk4OfHx8JMlzIikG/h4aNPAOgEKw7Qz58tbjl665t5W/uwYh2mYI8isp6IM0TdDUrzGCNI3h41Z2k7xTKbGSFvomkwlKpRIqlVOVoLJxqn9lV1dX/Pzzz1i6dCnmzp2LuLi4214fEhKCt956C1OmTKmmhEREREREtV9ljslzNB9PV7zxSC/0b98YX26KLBndX7QbD4eHYdLgikf3fX19oVarodfrJSv039n5Md7Z+THcVK5o7h+E5tpghPgHo5l/EEK0Jf/rrr79lHYp1uMvfegr2fYWMBqNcHV1vWWWBDmGUxX6paZNm4YpU6bgwIEDiIiIwLlz52AwlKxL0Wq1CAsLw4ABA9C/f39+IxIRERER2aiyx+RVh/7tGqNDs3r46tcT2HvyKlbvKR3d74GWjW9dRiAIArRaLQwGA5o3by5Jhsa+gUjNSYOx2IQzaedxJu38Ldc08mmI5tpgNP+n+G/uH4wQbbB1FrJcKrsfwJ2u44771cspC30AUCgUGDBgAAYMGCB3FCIiIiKiOseWY/IczdfTFW8+0gsD2jfGlxsjcSU1G88u3IXx4a0wcXDrW0b3tVotUlJSUFBQYPPR3OX5evQnCKsXimtZibiUHo84wxVcMlxBXPoVXDLEI9OYhcTsZCRmJ2P/5UNl2rqr5CmO/T00cFe72bREwF3tBn8PTbmvGY1GeHt7l/saSc9pC30iIiIiInIu1tH9zSewN/oqVu05i4NnEvHqQz3KbBLo7+8PhUIBvV6PJk2aSPLeaqUKzfyD0Mw/CINDyw42pudn4lL6FcQZSh6X0+MRl34FVzMTUVBc9U347BHo0wA7nlhfZrf/O/H30CDQp0G5r5lMJtSrV0+idHQnLPSJiIiIiMhp+Hq64s0JJWv3F2wqGd1/5utdeGRgK0wc1AZqlQJKpRIajQYGg0GyQv92/D008PfohG6NO5X5vKm4ELsu7MOzv77u8AzlCfRpUGHhbguz2YyioiLuuF+NnKrQ37Fjh/VYB6Dk6Iw+ffqUe+26deuwbds2/Oc//6nwGiIiIiIiqp0GtC8Z3V+wORIRMdewcvdZHPxnZ/4Wjfyg0+lw4cIFFBUVQa1Wl2kr1br1O3FVuaCpX8U3GqorR1WZTCV7NXCNfvVxmkI/Ojoaw4cPL7O5Xnh4OHbv3l3u9RkZGVixYgV+/PFHjBkzBkuWLIGvr291xSUiIiIiIgfTeLli1sTe2Bd9FQs2R+JyShae/XoXHrmrNR7s0xyiKCI9PR3169cHAFiKXOGmkm7dur2kXj/vaKWDrRzRrz5OU+gvXrwYAKy7Vnbt2hWjR4+u8PqQkBAEBwfjypUr2LhxIxISEhAREcG7UEREREREdUx4hybo0LweFmw+gf0x1/DTrjM4eDoRY9q7Q6/Xo379+kjLzMfMbyMRYJ4GsyIfAKBSKjBnch/4eVe8Yd/t1q3b63br5+MMl/HS1ln4fNR7CNE2c2iOyiod0WehX32cptD/9ddfIQgCWrdujRUrVqBLly63vX7IkCG4dOkSNm/ejKeffhrHjx/HnDlz8OGHH1ZTYiIiIiIiqi5+Xm54+5/R/S83ReJSShaWXE9Gv9BUhLYIQ1aeCUXFFqjgA5XZp6SRGWjgEYwWDW49ps/R7rR+PkTbDO0atKrGRBUzGo1wcXGBQqGQO4rTcIpC/8KFC7h27Rrq1auHPXv22LTb4/3334+wsDB0794dCxcuxKxZs+DhUTOOCSEiIiIiImlZR/c3ReLwqXhEx6Xixa9+w9hBnWXNVVvW45fHZDJxZnQ1c4pC/+TJkwCA6dOn23WkQ6tWrfD4449jwYIF+OuvvzB06FCpIxIRERERUQ3h5+WGWRN7Y9NBHbbt3Au93oCP1h4p99qEtGzrx76ergjQSDsoWNvW45fHaDRy2n41c4pCPykpCYIgoHfv3nb3MXjwYHz55ZeIjY1loU9EREREVMddzyrAd7/HwNOihofChIxiEYBQ5hpBAD5ae9T6XK1SYNkrIyQt9qU+z14OJpMJ3t7ecsdwKk5R6Ofm5gIANBqN3X34+fmV6YuIiIiIiOqu0jX5BYILfJAPFxSjEGWP2ftnn2+romILsvJMko/qS3WevRxEUYTRaOTU/WrmFLsh+Pv7AwCSk5Pt7iMlJQVA1W4WEBERERFR7WIS1bBAAXdFodxRaqWioiKIosip+9XMKQr94OBgiKKIzZs3293H5s2bIQgCgoODpQtGREREREQ1nIACiwvcBZPcQWolo9EIABzRr2ZOUegPGDAArq6uWL16NbZt22Zz++3bt2PVqlVwcXHBwIEDpQ9IREREREQ1iq+nK9SqknKpQHSBi1AMlWC+bRu1SgFfT45c38hkKrlBwhH96uUUa/Q9PDwwYcIELF26FGPGjMFrr72Gl1566Y7T8LOysjB//nx8+OGHAICJEyfC3d29GhITEREREZGcAjQeWPbKCGTlmWAuLsahQ4fw68lM5KJsPeDvXbJDv6ta6ZBd92s7o9EIpVIJlcopSs8aQxDFm7eQqJuSkpLQvn17ZGZmAgBUKhX69OmDDh06ICgoCJ6enhAEAbm5uUhISEB0dDQOHjxoXVPi5+eHmJgYBAYGyvuF0C3y8vLg5eUFoGSzRE9PT5kTEREREVFds2PvQSzfeRppZs0trw3rGoz/G9e9+kPVAhcvXkR6ejp69OghdxSn4jS3VQIDA7FhwwaMGDECJpMJRUVFiIiIQERERIVtSu+BuLm5YdOmTSzyiYiIiIiclLevH1yFIgiwQLxhBbQAYMfxK+gUEoChXYLkC1hDccd9eTjFGv1S4eHh+OuvvxASEgLg30K+PKWvtWzZEgcPHkT//v2rJSMREREREdU8jQMbQKkA3IV/d99XqxQY068FAODLTcdx9XqOXPFqLJPJxPX5MnCaEf1SnTt3xpkzZ7By5UosX74chw8ftu4EWcrd3R29evXC1KlT8cgjj3A9CRERERGRk2tS3w8ThnSCRaFG02ahAEo27NP6uONSUiaiLl3H+ysP4csZg+GqVsqctuYwGo3Q6XRyx3A6TrNGvyJFRUWIj49Heno6AECr1aJp06ZQq9UyJ6PK4hp9IiIiIqoOV65cwbVr19CnTx8oFP9OjjZkF+CpL3YiM8+Ee3uF4LnRXWRMWXOYzWbs378frVq1MvurewAAa+NJREFUQoMGDeSO41Scaup+edRqNUJDQ9GjRw/06NEDISEhLPKJiIiIiOgWWq0WxcXFyMrKKvt5H3e89nDJZnNbDsdhX/RVOeLVOKVH63GNfvVz+kKfiIiIiIioMry8vODq6gq9Xn/La91aNsD4ga0AAJ//8jeSDbnVHa/GKS30uUa/+rHQJyIiIiIiqgRBEKDVamEwGMrd2HvK0LZoE6RFvqkY768+jKJiiwwpa47SvdBY6Fc/FvpERERERESVpNPpYDQakZeXd8trKqUCbz7SC97uapy/loEl26NlSFhzmEwmuLi4lNnPgKoH/8WJiIiIiIgqSaPRQKlUwmAwlPt6gMYDr4wrWa//y4ELOHgmqTrj1ShGo5Hr82XCQp+IiIiIiKiSFAoF/P39y12nX6pPm0A80LcFAODT9ceQlplfXfFqFJPJxGn7MmGhT0REREREZAOdToecnBzrZnPleWJEB7Rs7Iec/ELMXX0YZrPzrdfniL58WOgTERERERHZwN/fH4IgVDh9HwDUqpL1+h6uKpyON2D5n6erMaH8RFHkiL6MWOgTERERERHZQK1Ww9fX97bT9wEgUOuFlx7sBgBYszcWf59PqY54NUJRUREsFgtH9GXCQp+IiIiIiMhGWq0WGRkZMJvNt70uvEMTjOzZHKIIfLzuKAzZBdWUUF6lyxo4oi8PFvpEREREREQ20ul0EEUR6enpd7z26VGd0KyBLzJzTfho7VGYLWI1JJSX0WgEAI7oy4SFPhERERERkY3c3d3h6el5x+n7AOCqVuKtCb3gplYiKi4Nq/ecrYaE8jKZTFAoFFCpVHJHcUos9ImIiIiIiOyg1WqRnp4OUbzzCH3TAB88N7oLAODHP0/j5KXrjo4nq9Id9wVBkDuKU2KhT0REREREZAedToeioiJkZWVV6vqhXYMxtEsQLCLw4ZrDyMyt+Hi+2o477suLhT4REREREZEdvL294eLicttj9m727P1d0KSeNwzZRnzy81FY6uh6/dIRfZIHC30iIiIiIiI7CIIArVYLvV5fqen7AODuqsJbE3rBRaXAsXMp+OXAeQenlAdH9OXFQp+IiIiIiMhOOp0OBQUFyM/Pr3Sb5g01ePreTgCAJdtjcCah8jMCagOLxYLCwkKO6MuIhT4REREREZGdNBoNFAqFTdP3AWBkj+YI79AYZouIuasOIye/0EEJq5/JVLL3AEf05cNCn4iIiIiIyE5KpRL+/v6VOmbvRoIg4MUHuqGhvydSM/Px2S9/V3r6f01nNBoBgCP6MmKhT0REREREVAVarRbZ2dkoLLRtVN7TTY03J/SCSingr9OJ2HwozkEJqxdH9OXHQp+IiIiIiKgKtFotANg8fR8Awhr7Y/qIjgCAxb+dxIXEDABAWmY+LiRmWB9pmZXfA0BuRqMRLi4uUChYbspFJXcAIiIiIiKi2szFxQW+vr7Q6/Vo2LChze3H9A1FVFwaDp1NwvurDmPO5D7471d/oqjYYr1GrVJg2SsjEKDxkDK6Q3DHffnxFgsREREREVEVabVaZGRkwGw229xWEAS8Mq476vm6I8mQi29/O1mmyAeAomILsvJMUsV1KKPRyPX5MmOhT0REREREVEU6nQ4WiwUZGRl2tffxcMGbE3pBoRDw94VUidNVL47oy4+FPhERERERURV5eHjA3d3drnX6QMmafBeVEvf2DKnwmoS07Bq/Zl8URY7o1wBco09ERERERCQBnU6HlJQUtGzZEoIgVLpdWmY+pn76+y3T9W8kCMBHa49an9fUNfvFxcWwWCwc0ZcZR/SJiIiIiIgkoNPpUFRUhJycHJvaZeWZblvkA4Aoln1eU9fsG41GAOCIvsxY6BMREREREUnAx8cHarUaer1e7iiyMZlKbj5wRF9eLPSJiIiIiIgkIAgCtFqtUxf6RqMRCoUCarVa7ihOjYU+ERERERGRRLRaLfLz81FQUFDpNr6erlCrypZmd1rir1IKSM8x1riN+Up33LdljwKSniCKN6/2IKpd8vLy4OXlBQDIzc2Fp6enzImIiIiIyFmZzWb89ddfaNasGZo0aVLpdmmZ+dY19wlp2WU23isVGqjBo0Pa4t2Vh1Bs/ndNf03amO/06dMoLi5Gx44d5Y7i1LjrPhERERERkUSUSiX8/PxgMBhsKvQDNB53LNQvJmXi7wspZYp84N+N+WpCoW8ymeDhIX8OZ8ep+0RERERERBLSarXIzMxEUVGR5H1vORQneZ9SMhqN3HG/BmChT0REREREJCGtVgsAMBgMdrUvb82+Simgc2gAKlp3nZCWjQuJGbKu2bdYLCgsLOSO+zUA1+hTrcc1+kRERERU0xw/fhxubm5o27atXe1L1+yn5xjxzo8Hb5mufyNBAG6s6uRas19QUIAjR46gY8eO8PPzq9b3prI4ok9ERERERCQxnU6H9PR0WCwVF+i3E6DxQItGfvD3drttkQ+ULfKBf9fsVzeTqeQ9OaIvPxb6REREREREEtPpdDCbzcjMzJQ7SrUxGo0AWOjXBCz0iYiIiIiIJObh4QE3Nzfo9Xq5o1Qbk8kEtVoNpVIpdxSnx0KfiIiIiIhIYoIgQKfTQa/XoyrbopW3MZ8g3L6NWqWAr2f1j6pzx/2aQyV3ACIiIiIiorpIq9Xi2rVryM3Nhbe3t119BGg8sOyVEdY19wlp2fho7dFyr3V3UeHpUR3RtWWDat+IDygZ0ee0/ZqBI/pEREREREQO4OvrC5VKVeXp+6Ub87Vo5IemAT7lXtOsgS8KCoux4NcTOHc1vUrvZy+O6NccLPTJ4VatWgU/Pz8IgoCBAwfKHYeIiIiIqFooFApotVoYDAaHv9dzo7ugT5tAFBVb8N6qQ9j01wWHv+eNRFHkiH4NwkK/DouJicELL7yA9u3bQ6PRwNfXF23btsWzzz6LqKgoh7+/wWDAQw89hIkTJzrVbqNERERERKW0Wi1yc3OtO9JXVXlr9tUqBQI0Hnh7Uh/c2ysEogh8vSUK3/0eDYvl3/0B0jLzcSExw/pIy8yXJBMAFBcXw2w2c0S/huAa/TrIbDbjnXfewdy5c2GxWODm5oa2bdtCoVAgJiYGZ86cwddff41XX30V77//PlQq6b8Ntm3bhieeeALJycmS901EREREVFv4+/tDEATo9Xo0bty4yv3dvGYfKCn+S9fkP3t/Z+h83bH0j1NYt+8cDFkFeHlsd2TkGjH1099RVGyxtlOrFFj2yghJ1vObTCV5OKJfM3BEvw56+umn8f7778NiseC+++7D5cuX8ffff+Po0aO4cuUKRo8eDVEU8fHHH2P69OmSvndubi6efPJJjBw5EsnJyRgzZgxGjhwp6XsQEREREdUWKpUKGo1G0un7N67Zb9HIr0yhLggCJtzVGv83rjuUCgG7ohLw5rL9SEnPK1PkA0BRsaXMDYOqKJ2xwBH9moGFfh2zePFifPfddwCAnj17Yv369WjQoIH19fr162PdunXo2bMnAGDZsmVYuHChZO8/ffp0LF68GL6+vli2bBk2bNgAnU4nWf9ERERERLWNTqdDZmYmiouLq+09h3UNxntT+8HNRYkTF9Pw+Ya/Hfp+JpMJgiBArVY79H2ocljo1yG5ubl46623rM8///zzcn/Q1Go1Pv/8c+vzt99+G9nZ2ZJkKCgowKBBgxATE4MpU6ZI0icRERERUW2m1WohiiLS06t3N/ygAB88P7orvN3VSNTnlntNQlq2JGv2S3fcFwTB7j5IOlyjX4csWrQI169fBwCEhYWhT58+FV7bp08ftGrVCrGxsTAYDFi4cCFmzpxZ5QyvvfYaevXqxR9wIiIiIqJ/uLm5wcvLC3q9HgEBAdXynmmZ+besyb+ZIAAfrT1qfV6VNfvccb9m4Yh+HbJ27Vrrx/fee+8dr7/xmhvbVkXv3r1Z5BMRERER3USn0yE9PR0WS8WFt5Sy8ky3LfIBQBTLPq/Kmv3SEX2qGVjo1xGJiYk4fvy49Xm3bt3u2ObGa6KiohAfH++QbEREREREzk6r1aK4uBhZWVlyR3EIjujXLCz064i//y67uUabNm3u2KZdu3Zlnt94o4CIiIiIiKTj5eUFV1dX6PV6uaNIzmKxwGQycUS/BmGhX0ecOXOmzPPAwMA7tmnYsOFt+yAiIiIiImkIggCdTgeDwQDx5jnzDuDr6Qq1qmy5d/MK25ufq1UK+HraPipfWFgIABzRr0G4GV8dERcXZ/1YrVZDq9XesY2fnx9cXV1hMplu6aOmysvLq9TnHMVsNqOoqKja3o/I0ZRKJY/BISIiqiZarRaJiYnIy8uDl5eXQ98rQOOBZa+MsK65T0jLLrPxHlCyRn/mwz3QNMAHQMnNAXs24jMajQDAEf0ahIV+HXHj8XgeHpX/4fTw8LAW+lIdsedIjv6FWBFRFJGSkoKsrKxquQNLVJ1cXV2h0+ng4+MjdxQiIqI6TaPRQKlUQq/XV8vftQEajzsW7k0DfNCikV+V3qe0nuCIfs3BQr+OyMnJsX5syw/YjXfdbuyDysrKykJmZibq1asHT09PnixAdYIoiigqKkJWVhYSExPx/+3deVxU1f8/8New79uMCKgIuSsq7ksaWoobLmRZ+VFBJXdzTVvcK/WjBuaOUoqZqWWpJZof99RSMTHNpVAQlC0QZB1g4P7+8Mf9MrLNAMMsvp6Pxzy8d+6555wZ5jrzvmcDwGCfiIhIg4yMjODk5IS0tDR4eHhouzq1Ri6Xw9TUFMbGxtquCv1/DPQNROnu5CYmqv9ZS6fVhy7p2dnZZZ7LyclB/fr1NVamIAhISUmBnZ0dZDKZxsoh0gZLS0vY2tri0aNHSE1NZaBPRESkYTKZDHfu3KnzWepLxuyXXnKvumPyn8cZ93UPA30DYW1tLW6XdJ1RRcl4mufz0FXaqGNRURGKiooYAJHBkkgksLe3x+PHj1FYWMgx+0RERBrk5OQEiUSCtLQ0lSbQri3Pj9kHqj8m/3lyuZzj83UMA30DYWtrK26XDt6rUvqmQOk86P8oFAoA6vWUINI3JcF9UVERA30iIiINMjU1hb29PVJTU+s00AdUG7NfHfn5+XBwcKj1fKn6uLyegXB2dha3c3NzxSUuKqNQKJS6wpfOg8riuHwyZPx8ExER1R2ZTIb09HSxQUmfCYLAFn0dxEDfQLRq1UrcFgQBiYmJVZ6TmJiI4uL/G6NTOg8iIiIiItIMqVQKQRCQnp6u7arUWMkwV47R1y3si2wgvLy8lPZjY2PRuHHjSs95+PCh0n6bNm1qvV5UuZSMXI2MkyIiIiIi3WVpaQlra2ukpqaiXr162q5OjZQMG2aLvm5hoG8gOnfuDAcHB2RkZAAArl+/Dh8fn0rPiYyMFLdtbW3RrVs3TVaRnpOSkYvAdcfKzHy6a/4gBvtEREREBk4qlSIhIQGCIOj1ELqSOb/Yoq9b2HXfQJiammLIkCHi/oULF6o8p3SaIUOGwMzMTCN1o/I9zclXCvIBoFBRrNTCr00jRoyAkZERoqOjyxwLCwuDt7c3zMzMYGZmBm9vb4SFhVWYV+fOneHu7g6JRAJ3d3d4e3uXeZiZmSE2NlaDr4iIiIhId8hkMigUCjx9+lTbVakRuVwOiUTCWELHMNA3IFOmTBG3IyIiyl1zvkR2djYiIiLE/cmTJ1eY9t69ewgJCcG5c+dqp6Kk8xISEvDLL79AEASEhoaWOR4UFISoqCi4ubnBzc0NUVFRCAoKqjC/yMhIrFixAgCwYsUKREVFlXnU9ayzRERERNpka2sLMzMzpKamarsqNZKfnw9zc3O97pVgiBjoG5BevXph0KBBAIC8vDysX7++wrQhISHIy8sDAPj6+qJPnz7lprtz5w46duyIuXPnok+fPtizZ09tV/uFkpKRi38ep+Ofx+mIS8ksN01cSqaYJiUjt45r+MyXX36JhQsXwt3dHbt27VJahlFTtm/fzpUfiIiI6IUhkUgglUqRlpYGQRC0XZ1q44z7uolj9A3M1q1b0bVrV6SkpGDlypXw8fFB7969ldJcuHABq1evBvCsy9C2bdsqzG/nzp3Izf2/YHPjxo0YM2aMZiqvRwRBgLywSK1z/s3IxZQN/1Pqri+RAKX/X5dIgNX7r4j7piZG2PZef9RTccy+halxje+mFhcXY8+ePbhw4QKsra2xYMECHDx4EKNHj65RvhVZtmyZ0r9ERERELwqZTIbExETk5ubC2tpa29WpFrlcDktLS21Xg57DQN/ANG7cGIcPH8bQoUORmpoKX19fTJ06Ff369YNEIsGpU6ewZcsW5OXlwcnJCT/++CM8PT0rzO/5u4uq3G0cOHCg0v7NmzfF7T///LPM8TVr1qBdu3aqvDydIS8swrAlP9Y4n+ffzuf3CxXFmBj8i8r5HVnhD0uzml3Wx44dQ69evVCvXj28++67WLFiBbZt26axQJ+IiIjoReXg4AAjIyOkpaXpbaCfn58PR0dHbVeDnsNA3wB1794dN27cwKxZs3Do0CGEhIQgJCREPG5sbIzhw4dj48aNaNSoUaV5BQQEYPPmzWI3/5kzZ1ZZ/i+/VByYpqenlzn+wQcfVJkn1Z3Q0FB8+umnAJ59+ZR8Bm7fvo3WrVvXOP8lS5YoDStJSkpSml+CiIiI6EVhbGwMJycnpKamwt3dXdvVUVtxcbE4Rp90CwN9A+Xm5obvvvsOycnJOH/+POLj4wEADRs2RO/eveHq6qpSPl5eXvjjjz8QERGBTp06VblkH6Baq7++szA1xpEV/mqdcz8hA3O2nVG7rJApfdHEzUHletXEo0ePIJfLlXpYzJo1C1u2bEFoaCi++OKLGuUPPJuMLzAwUNxnl30iIiJ6kclkMty9excFBQV6N3N9QUEBAHCMvg5ioG/g6tevjzfffLNGebRs2RItW7aspRoZBolEonYXeWcHK5iaGFU5Rr/0vqmJEZwdrGrcHV9VYWFhiI6Ohre3t9LzNjY22L17N1avXl3rY7AY6BMREdGLzMnJCQCQlpamcmOcrpDL5QDAFn0dxECfqI44O1hh1/xBeJrzbAb7uJRMpYn3gGdB/gdvdYW7sx0AwN7aHM4qTsRXU0VFRThy5Aj++ecfGBsr9wz45ptvMGbMGOzbtw/jx49XOb/i4mKYmppqorpEREREBsHMzAz29vZITU3Vu0C/ZGUmBvq6h8vrEdUhZwcrNGvgiGYNHMVg/nnuznZimroK8gHg6NGj6NSpU5kgHwCGDh0KMzMzhIaGqpzf119/jXfffVfl9DNnzsS+fftUTk9ERERkKKRSKdLT01FUpN6qTtoml8thYmICExO2H+saBvpEBODZJHwjR44s95idnR369euHy5cvIyoqSiPlZ2Vlid2/iIiIiF4kMpkMxcXFSE9P13ZV1JKfn8/x+TqKt16ItMTe2rzMmH1TEyPYW9dt16eUlBT4+vri5s2bePjwIVJSUjBu3DilNAMGDMCNGzcAAH5+fkhISIC7uzsePXoEAPDw8CiTb3Z2Nvz8/AAATZs2RUZGBgBg/vz55Y7LT01NRZ8+fWrtdRERERHpCysrK1hZWSEtLQ0ymUzb1VGZXC5nt30dxUCfSEueH7MP1O2YfLEezs5VttJXtmSiKqKjo2t0PhEREZGhk0qlSEpKQvPmzSGRSLRdHZXk5+fDwcFB29WgcjDQJ9IiZwerOg/siYiIiEj3yGQyxMfHIzMzE/b29tqujkrYoq+7OEafiIiIiIhIy+zs7GBqaoq0tDRtV0UlCoUCRUVFHKOvoxjoExERERERaZlEIoFUKkVqaqq2q6KSkkmU2aKvmxjoExERERER6QCZTIbc3Fzk5uZquypVys9/Ns8UW/R1EwN9IiIiIiIiHeDo6AgjIyO96L4vl8shkUhgZmam7apQORjoExERERER6QBjY2M4OjrqRff9/Px8mJub680KAS8aBvpEREREREQ6QiqV4unTpygsLNR2VSrFGfd1GwN9IiIiIiIiHSGVSgFA57vv5+fnc3y+DmOgT0REREREpCPMzc1hZ2en84E+W/R1GwN9Ii07duwYWrRqjePHj2u7KkRERESkA6RSKZ48eYLi4uJayU8ulyMrK0vtR8kSes8TBAEFBQVs0ddhJtquANGLTKFQYM7cefj77h3MnjMXt/r1g4kJL0siIiKiF5lMJkNMTAzS09PFrvzVJZfLceXKlWrdNDAyMkLXrl3LBPT5+fkQBIEt+jqMEQWRFoWFheHve3fhs2Qjzn/yHr788ktMnjxZ29UiIiIiIi2ysrKChYUF0tLSahzoFxYWori4GK1atYKVlZXK5+Xm5uLOnTsoLCwsN9AHwBZ9HcZAn0hLMjMzsXjpUjQb8jZaDPsPEq9dxKIlSzB69GjY2tpqu3pEREREpCUSiQQymQwpKSlo1qxZrSxhZ2VlVWu/MUu69LNFX3dxjD6RlqxZswZPn2ai89SPAACdp36Ep08zsWbNGi3X7JkRI0bAyMgI0dHRtZZnTEwM5syZA29vb3Ts2BHt2rVD27ZtMXjwYAQHB+POnTtlzjl58iT8/PzQvn17eHt7w8vLCx07dsSUKVMQEREBADh79ixsbGzg7e0tPlxcXCCRSNC0aVOl57nWKxEREekDmUyGgoICZGdna7sqZeTn58PExIRDTnUYA30iLYiPj8e6zz+H13+mw6Z+AwCAjUtDtBk9Des+/xyPHj3Sav0SEhLwyy+/QBAEhIaG1kqee/fuhZeXFywsLHDu3Dn88ccf+PPPP/H777/Dx8cH8+fPx9ixY5XO2b17NwYMGIBRo0YhKioKUVFRuHXrFr744gt8//332LBhg5i2c+fOYpqoqChMmTIFwLPhEaWfJyIiItIHdnZ2MDExQWpqqrarUgZn3Nd9DPSJtODjRYtgYmWL9gHvKT3vHTgLxlY2+HjRIi3V7Jkvv/wSCxcuhLu7O3bt2iWOw6qu8+fPY9y4cQgKCsKqVatgb28vHrO2tsbChQsxZ86cMudt3LgRbdu2xbhx45Ra4nv37o0PP/xQ3HdyckLXrl1VqsuAAQNq8EqIiIiI6oaRkRGkUqlOBvr5+fkcn6/j2NeCqBoEQUBubm61zo2KisKer7/Gyx98DjNr5XFSZta26PDuB/j6v/MxedIktG/fXq28raysatw1vbi4GHv27MGFCxdgbW2NBQsW4ODBgxg9erSYZtiwYYiKikJ8fDwuXLiAjRs34s6dO3jy5An8/PwQHBwMS0tLMf2HH36IoqIiLFiwoMJy58yZgw4dOig9p1AokJycjLy8PKX8AGDq1Klindq1a6fykAcuY0hERET6QiqVIjk5GXK5XKcCa7lcrtRwQ7qHLfpE1ZCbmwsbG5tqPXq/8gpsG3qi5fAx5ebdcsRY2Db0QK/evdXOu7o3H0o7duwYevXqhXr16uHdd9+FjY0Ntm3bppTmyJEjWLFiBQDgs88+w6ZNm3Djxg3s378foaGh+Pzzz8W0//77L3777Td4eHigQYMGFZbbsGFDjBmj/J4MGDAASUlJePXVV3Ho0CHk5eWJx6ysrODq6lrj10tERESkq5ycnCCRSHSuVZ8t+rqPgT5RHROKi9FmVBCMKpi8xMjEBG1GvQuhGmud1obQ0FDMmjULAODg4ICAgAD8+uuvuH37drnpx40bB5lMBgDo2bMnmjdvjl9++UU8HhMTA0EQqhWUL126FOPHj8eVK1fg7+8PJycn9O/fH8HBwUhMTKzGqyMiIiLSHyYmJnB0dERaWpq2qyJSKBRQKBQco6/jGOgTVYOVlRWys7PVfmRlZaG3jw/u/bgLxQpFuXkXKxS498NO+PTpg6ysLLXyV2dt1PI8evQIcrkc7dq1E5+bNWsWJBJJhZPyeXl5Ke07OzurFYT7+/vD29sbTZs2hYuLCy5duiQes7S0xFdffYXY2FisX78effv2xaVLlzBv3jx4enqW6WlAREREZGikUikyMjKgqOC3Y10rmbuJLfq6jYE+UTVIJBJYW1ur/bCxscEXISFIj/kHdw/vKTfvu4e+RnpsNNaHhMDGxkat/Gs6Pj8sLAzR0dFKy9G9+eabsLGxwe7du5W6zpewsbFR2jcyMlL6IvL09IREIkFCQkK5Zf7444+IiorCmDFjkJycjIKCgjJpGjVqhFmzZiEiIgL//vsvvvzyS5ibm2PmzJl48OBBjV4zERERkS6TSqUQBEFnWvXlcjkAsEVfxzHQJ6pjHTp0wJixY3F9+yoU5GQpHSvIzsT1Hasxdtw4eHt712m9ioqKcOTIEfzzzz9Ky9FFRUVh69atyMjIwL59+9TOt169eujRowcePnyI2NhYtc49cuQI4uPjlZ6zsrLChAkT8P7770OhUODatWtq14mIiIhIX1hYWMDGxkZnAv2SFn0G+rqNgT6RFnz26adQ5GThRvgGpeejwjegKDcbn336aZ3X6ejRo+jUqROMjY3LHBs6dCjMzMwq7L5fldWrV8PY2BgrV65U67zg4GAcPny43GNGRs/++3J2dq5WnYiIiIj0hUwmQ1paGoq1NIdTaXK5HObm5jXuSUqaxUCfSAsaNWqE+fPm4dY3m5Gd/BgAkJ30CH/t3YL58+ahYcOGdV6n0NBQjBw5stxjdnZ26NevHy5fvoyoqCi18+7duzfCw8Px9ddfY/bs2Xjy5Il4rKCgAPv378d3330HIyMjWFtbK5376aefKo3bB4Bff/0V69evR8+ePdGrVy+160NERESkT6RSKYqKivD06VNtV4Uz7uuJ8qf9JiKNW7hwIUJ37EDk1pXos2wzIreuhL29XaVrzWtCSkoKfH19cfPmTTx8+BApKSkYN26cUpoBAwbgxo0bAAA/Pz907NhRDPgHDx6M9957D8OGDcPgwYMRHR2NgoICeHt7IzQ0FN26dQMA/Oc//0H37t3xxRdf4JVXXoGxsTHkcjmysrLQrFkzjBo1CmPHjsVLL70klrt8+XIcOnQIs2bNQn5+PiQSCTIzM2Fvb49p06Zh/vz5ZXogJCQkYPDgwUhKSgIABAUFoXnz5oiIiNDUW0hERESkUTY2NjA3N0dqaiocHR21WpeSFn3SbQz0ibTE1tYWnyxfjmnTpsGlQw/8E7EfW7duha2tbZ3Ww9nZucpW+tLL5VWmqnyaNGmCDRs2VJqmNB8fH/j4+KicHgDc3Nyq1euAiIiISFdJJBLIZDKkpqaiadOmWu02n5+fD3t7e62VT6ph130iLQoKCkLzFi1x/pP30KJlK0ycOFHbVSIiIiIiHSSVSpGfn4+cnByt1UEQBOTn57NFXw8w0CfSIhMTE4QEf47mLVshJPhzmJiwkw0RERERleXg4ABjY2OkpqZqrQ4FBQUQBIFj9PUAowoiLRs0aBAGDRqk7WoQERERkQ4zMjKCk5MT0tLS4OHhoZU6yOVyAFxaTx+wRZ+IiIiIiEgPyGQyZGVliWvZ17WSctmir/sY6BMREREREekBJycnSCQSrXXfl8vlMDY2LrPqEekeBvpERERERER6wNTUFPb29khLS9NK+fn5+bCwsNDqrP+kGgb6REREREREekImkyE9PR0KhaLOy5bL5RyfrycY6BMREREREekJqVQKQRCQnp5e52WXtOiT7mOgT0REREREpCcsLS1hbW2tlXH6bNHXHwz0iYiIiIiI9IhMJkNaWhoEQaizMouKiqBQKNiirycY6BMREREREekRqVQKhUKBp0+f1lmZcrkcANiirydMtF0BohdJQmYSnuRmqJzeycoBbnYumqsQEREREekdW1tbmJmZITU1FQ4ODnVSZn5+PgCwRV9PMNAnqiMJmUnwDXsDeYVylc+xNLXAiaDvNR7sd+7cGSkpKYiPj0ejRo3g5OQEAMjMzIREIkH//v2xdOlSuLq6lnv++vXrMWfOHISFhWHixIllju/evRvBwcGIjo6GIAi4ePEivL29ldKcPHkS8+fPR1xcHGxsbODk5ISzZ88qfXmlpKRg48aNOHbsGIqKilBUVITi4mK4uLigb9++GDhwIDp16gQAiIqKQmBgIOLi4pCeno5WrVrBzMxMqcyCggLk5uYiNjYWABAWFoZNmzbh9u3bAIDWrVuL6bKystCwYUPMnTsXb775ptrvMREREVFtkUgkkEqlSEtLQ5MmTepkubuSFv3nf0+RbpIIdTmwg0gDcnJyYGNjAwDIzs6GtbV1reYvl8sRExMDT0/PGt3BvJV0F8PDxyDY7xM0kXpWmf5+Wgzm/rwYhwP2wMulZbXLVdWuXbswfvx47Ny5E4GBgeLzFy5cQP/+/dGwYUPcvHmz3PegTZs2+Pvvv+Ht7Y2rV69WWEafPn1w7tw5eHh4IDIyElKptEyawMBA9OnTR6kOAHDq1CmMGjUKw4cPx6pVq1C/fn0AQGFhIXbv3o3p06fDxsamzMQ0gYGBCA8PR0xMDDw8PJSOxcbGok+fPmKgX6IkXennc3NzMWHCBOzfvx87duxAUFBQha9TH9XW55yIiIjqRlpaGm7evIkuXbpU+vs3KysL165dQ6dOnWBra6ty/s+fFxMTg6SkJPTo0aM2qk8axhZ9ojrWROpZJ4F7benVqxf69++Pn376CWfPnsXAgQOVjv/6669wcXGBt7c39u7dK34hVOTtt9/Gvn37MGrUKJw4cQLGxsZV1uHvv//GiBEj8Oqrr+Krr75SOmZqaoqJEyciNzcXy5cvV+u1OTs7Y/v27SqltbKywoIFC7B//36EhYUZXKBPRERE+sXR0RFGRkZIS0urMNCPi4vDo0ePkJiYWGGDTWkymQzu7u7lHuOM+/qFgT4RVamwsBDAs1bt54WGhmL27NlwdXXF3r17ERoaWmnwPHnyZDg6OmLr1q14//33ERwcXGX5y5cvR3Z2NhYuXFhhmoCAAJVuGpTo06cPli1bBl9fX5XPqex9ICIiIqpLRkZGcHJyQmpqarnBeVxcHFq0bAETYxN07twZkZGRyM7OrjRPYxNjLPp4EZo1awYrKysYGf3f3O35+fns9adHGOgTVYMgCGqNtQcAuZrpS5+XW5CnUlpLU4taHaMlCAIOHz6MkydPwtraGt27d1c6npaWhhs3bmD37t0wMjLCyy+/jL1792LdunWws7OrMN8NGzbgzp07CAkJQceOHTFmzJgK0xYXF+Pnn3+GmZkZunTpUmE6Ozs7TJs2Tf0XqaKUlBQsW7YMANCvXz+NlUNERESkKplMhrt376KgoKDM2PnU1FTI8+SwdSjVXV8CoJKB20WKIrGHpI2NDbp174YWLVqgZcuWkMvlanX9J+1ioE9UDXmFcrQN6V0nZb21V/Uu4jfn/AorM8salbdkyRKsX78ecrkcsbGxKCwsRIcOHbBmzRq4ubkppQ0PD8e7774r3u2dPXs23nzzTezZs6fSoNvExATff/89unTpgkmTJqF169bo2LFjuWlTU1ORmZkJV1dXmJqaVvt1DR48WOkLMDo6utL0CQkJ4oSBSUlJSE5OhpOTE6ZPn45PPvmk2vUgIiIiqi0lEyinpaVVOGmyoBBg7m4NRAIQACe/hjC2rjoMNM0yRlFuEe7cuYMWLVqwRV/PMNAnIiUrVqwQJ8I7fvw4pk2bhg8//BCvvvpqmbT79+/HyZMnxX1/f394eHggNDS0ytZ1qVSKI0eOoEePHvD390dkZCTq1aundn2nT5+OixcvIi8vD0+fPsUXX3yBt956q0y6iIgIpcn4+vTpU2m+bm5uiIqKAvBsMprRo0fDxsYGn376aa1P+EhERERUHWZmZrC3t0dqamqFgT4A5MfniNvpxx9DUFQ9H7uNjQ3QuREmvhuEdu3aQRAEjtHXIwz0iarB0tQCN+f8qtY5t5PvqdU6X2L/6DC0rt9C5XrVpoEDB2LkyJF46623cO3aNbRv3148dvbsWcTExKB3b+WeDfn5+fjzzz/x22+/VTkrq5eXF/bs2QN/f3+8+eabSjcNSshkMtjZ2SE1NbXcbmmbN28G8H+rBuTlqTbM4ezZsyqlA56tVRsWFoamTZtCoVDgu+++U/lcIiIiIk2SyWSIiYlBUVFRxfMVlYrrBYWAem95wMy58l6glhILWBU5oDCyAElJSQDAFn09YlR1EiJ6nkQigZWZpVoPi2oG4RamFiqXoYk1VBcsWABzc3N89NFHSs+Hhobi5MmTiIqKUnpcuXIFEokE27ZtUyn/4cOHY8WKFTh37hzmzp1b5riRkRH8/PxQWFiIS5cu1cprqo769etjypQp+P777ytdQpCIiIioLkmlUhQXFyM9PV3lc8ycLWHewKryh6ul2MVfoVAAAFv09QgDfSKqVL169RAUFISIiAj89ttvAIB///0XN2/eRLt27cqkb9iwIbp27YoDBw6o/IWzaNEijBo1Chs3bsSJEyfKHF+6dClsbGywatUqCELVXc3U0bFjR8THx6uUdt68eTA3N8eiRYtqtQ5ERERE1WVlZQUrKyukpqZqrIzCwkIYGxvDxIQdwvUFA30dcPPmTcyePRtt27aFg4MD7O3t0aZNG8ycOVMcI6xJMTExWLRoETp06ACpVAobGxu0bNkS48ePx6+/qt493cPDAxKJpNqPkonPSPe8//77MDU1FQPcXbt2wc/Pr8L0I0eOhFwuR3h4uMpl7Ny5Ex07dkRiYmKZY82bN8ePP/6Iq1evYvTo0Xj8+LF4rKioCMeOHROX9FN3NtgnT56gqKhIpbQuLi4YP348Tpw4oda1QURERKRJUqkUaWlptd4gUqKwsBDm5uYa6T1KmsFbMlpUVFSEZcuWYeXKlSguLoaFhQXatGkDIyMj3Lx5E7dv38bmzZuxYMECfPrppxq5g7Zp0ybMnz8f+fn5MDExQevWrWFtbY1bt25h165d2LVrFwICArB582aNT0Cmzhro+ux+WkytpqsNnTt3RkpKCoD/m3X/4MGDaNKkCYBnrfRjx47FV199BTs7OwiCAKlUitzcXGzYsEEpr48//hj79+8HACxbtgwHDhzAlClTEBwcjOjoaAQFBUEqleLy5ctK51lZWeHQoUMVLqHXr18/3L59Gxs2bICfnx+KiopQWFiIjIwMeHh44JVXXsG2bdvEXgaRkZF44403xLvbvXr1KvcaevTokbgdFhaGTZs2ISEhAQDg7e2N/v37Y+3atWKaBQsWICwsDCNHjoSbmxsiIiLKrEZAREREVJdkMhni4+ORmZkJe3v7Ws9foVBwfL6ekQiauu1DVZo0aRJ27NgBABg2bBhCQ0Ph4uICAEhOTsaUKVNw6NAhAEBgYCB27txZq+V/9tlnYgttjx498PXXX4uBXWZmJhYsWIDQ0FAAz4KsY8eOVXqzwcPDAw8fPsRLL72k8jJocrkcDx8+BAAsXrwYK1asUPt15OTkPJsVFEB2dnat35CQy+WIiYmBp6dnjf6DS8hMgm/YG8grlKt8jqWpBU4EfQ83O5dql0ukitr6nBMREVHdEwQBly5dgqurK1566SUAwB9//IFOnTrBxsYGnTt3RmRkJLKzswEADWa2gnkDq0rztBTM8VK6G85sOY7w8HC0adMGLVqoNkE0aR9b9LVk+/btYpDfrVs3fP/990rBcf369XHgwAH07t0bly9fxq5du9ClS5cqlyxT1fHjx7F48WIAzwL048ePw87OTjxuZ2eHbdu2ITU1FQcPHsTJkyfx0UcfYc2aNVXmferUKaVlzCoTEhKCuXPnwtjYGO+++261Xou+cLNzwYmg7/EkN0Plc5ysHBjkExEREVGlJBIJpFIpUlNTxUC/NrFFX/8w0NeC7Oxspcm8goODy20BNzU1RXBwMF5++WUAz7pUjxkzRikgr47i4mLMnz9fHMPz2WefVZhncHAwDh8+DIVCgS+++ALTpk1TOYhXRUmPgSFDhqBRo0a1lq+ucrNzYeBORERERLVOJpMhKSkJubm5sLKqvLVeHUZGRigqKuKM+3qGk/FpwdatW/Hvv/8CAFq0aIGePXtWmLZnz55o2bIlACAtLQ1btmypcfkHDx7EX3/9BQCwt7fHyJEjK0zr7u6O1157DQBQUFCA1atX17j8EqdPn8a9e/cAAFOnTq21fImIiIiIXjSOjo4wMjJCWloagGeBv5m5WY3zLQnw2aKvXxjoa0HJRGUAMHTo0CrTl05T+tzaKL9///5V3p0bNmyYuH3w4MEKZyi/ffs2srKy0LhxY5XqUbLOuqenJ3x9fVU6h4iIiIiIyjI2Noajo6M4EbG7uzvOnjkLk5Kew9Wc99rM7NnNArbo6xcG+nXs8ePHuHbtmrjfuXPnKs8pnSYqKkqcvK46CgoKcPz48WqXn5qaiosXL5abzsrKCjY2Niotu5GcnCxONDh58mQYGfGjSERERERUEzKZDE+fPkVhYSGAZxNuf/XllwAAh1ddYdfbGQBQkJKH/Me5lT8S81CUoxADfAb6+oVj9OtYZGSk0n7r1q2rPMfLy0tp/9q1ayq3mj/vzp07yMnJqVH5kZGReOWVV6pVfomwsDAUFhbCzMwMEyZMqFFeREREREQESKVSAM+G/Jas5tWqVSuYmJgg43+Jz2bdlwD/7o+tMi8bGxs07GwPGxsb2Nvbs2FOzzDQr2O3b99W2ldl/W1XV9cyebz++ut1Vr6VlRXs7OyQmZlZbh7qKi4uxvbt2wEAI0eORL169WqUHxERERERPetmb2dnh9TUVDHQb9CgAWbMmIHly5fDwsICiYmJyMjIEM/Zum0brl6PQrc5n8LE3BIAYG5rD0sLM2T9uB1dunQR8yL9wUC/jt2/f1/cNjU1Fe+6VcbR0RHm5ubIz88vk0dNygfK3kSoiKurqxjo16R8AIiIiEBcXBwA9SfhK90bobLniIiIiIheRFKpFHFxcSguLhZb4e3t7dG2bVvY2toqpf3jjz9w6eJFvPzB52g1YpzSMSN5Dmwf3cWt/x1GYmJindWfagf7X9SxkmAZgFrLXpROWzqPmpSvTh1qq3zg2aoDANCmTRv07t1brXNtbGzKPOrXr1+j+hARERERGQqZTIaioiKkp6dXmk4QBMydNx9Ons3RcviY8vNq0Q4OLm748qud4tLcpB8Y6NexrKwscVudCS1KL2dROo+alK9OHWqr/IcPH4qTAU6ZMqXa+RARERERUVlWVlawtLQUl9mryL1793Du7Bk09w+AkUn5Hb0lEgnqt+6AK5d/x99//62J6pKGMNCvYyUzYAKASQUXVHlKpy2dR03KV6cOtVV+aGgoiouLYW1tjbFjx6p9fnZ2dplHVlYWkpOTkZ2drVYvCSIiIiIiQyORSCCVSpGamlppK3yLFi3Qp++r+PvHcBQrFOWmEYoUyIj+C+07dEDz5s01VWXSAI7Rr2PW1tbidsmYe1XI5fJy86hJ+SV1MC1ZW1PD5RcWFuKrr74CALzzzjuwt7dXO4+KyraxsalWnepaXFycuLapKmQyGdzd3TVYIyIiIiIyNDKZDI8ePUJWVlaFS19LJBIEf74OnTp1wt3De9B6ZGCZNOn/3IL8aTqWL1+u0hLapDsY6Nex0hNglA6eq1L6psDzk2hUt/ySOqgSJNdG+T/88AOSk5MBqD8JnyGIi4tDi5YtIM9T/e9uYWmBe3fvMdgnIiIiIpXZ29vDxMQEaWlpkMlkFabr0KEDxowdix+2r0LTgSNhZv1/v/MLc7KQdvsaWrdpg06dOtVFtakWMdCvY87OzuJ2bm4uCgoKYGZmVuk5CoXi2ZqX5eRRk/IBID09vdKLv8STJ09qXP62bdsAAF27dkXHjh2rlYc+S01NhTxPjnpvecDM2bLK9AUpefh3fyxSU1M1Huh37twZKSkpiI+PR6NGjeDk5ATg2cSLEokE/fv3x9KlSytcpWH9+vWYM2cOwsLCMHHixDLHd+/ejeDgYERHR0MQBFy8eBHe3t5KaU6ePIn58+cjLi4ONjY2cHJywtmzZ+Hg4CCmSUlJwcaNG3Hs2DEUFRWhqKgIxcXFcHFxQd++fTFw4EDxiygqKgqBgYGIi4tDeno6WrVqVeZaKygoQG5uLmJjYwEAYWFh2LRpk7iEZOvWrcV0WVlZaNiwIebOnYs333yzyvc0IiICH330EaKjo5GTk4P27duXm+7GjRu1PrlNbGwsdu3ahREjRpR5n4mIiMjwle6+X9Vv/c8+/RQHDhzAjfAN6DLtY/H5W999CTdBwCu9e6s15Jh0A8fo17FWrVqJ24IgqLRURWJiIoqLi8vNoyblA0BCQkKV5wiCILbEV7f8u3fv4uzZswA4CZ+ZsyXMG1hV+VDlZkBtiYyMxIoVKwAAK1asQFRUFKKiovDgwQOEh4cjPDwcr7zySoW9UHbs2AETExPxZs7zxo0bh6ioKHTu3Bm5ubnw9/cvM0FMv379EBUVhWHDhol1KB3knzp1Cq1atcLjx49x9OhRXL9+HX/++SeuX7+Od955B5988gkGDBggpvf29hbzA54F3iWvq+QRERGhVIegoCBERUXBzc0Nbm5uYrrbt2/j3r17aNy4MUaNGoWwsLAq39PBgweLrxlAmbJLHpoQGxuL5cuXayx/IiIi0n1SqRQ5OTlV9iJu1KgR5s+bh1vfbEZ28mMAQHbSI/z9wy60bdsWUqmU3fb1EAP9Oubl5aW0X9KSWJmHDx8q7bdp06ZOy3/8+LHSBHzVKb8kAHRwcMDbb7+t9vmkPb169UL//v0RHR0t3qwp7ddff4WLiwtGjRqFyMhIXLt2rdL83n77bcTGxmLUqFEoKipSqQ5///03RowYgV69euGrr75SWlLR1NQUEydOxNq1a9V6XcCz3inbt29XKa2VlRUWLFgAACoF+qr68ccfay0vIiIiohJOTk6QSCRVLrMHAAsXLoS9vR0it64EAERuXQlbO1s0b95crZXCSHcw0K9jnTt3VmqlvH79epXnREZGitu2trbo1q1btct3dXUVuyNXp3yJRILXXntNrTLz8vIQHh4OAAgMDISlZd21VGuKIAjIyclR65GXl1etsvLy8lQuQ1Prm5bc6MnNzS1zLDQ0FLNnz8acOXPE/cpMnjwZU6dOxenTp/H++++rVP7y5cuRnZ2NhQsXVpgmICBA7JWgij59+uDKlSvw9fVV+ZzK3gd1BQYGit3rAWDPnj3o378/vL290aFDB3Ts2BHr1q0rs8rFv//+i6CgILRp0wYdOnRA+/btxZ4IALBkyRIEBQWJ297e3vD29haHIxAREdGLwcTEBI6OjkpDcCtia2uLT5Yvxz9H9+Hu4T34J2I/Fr7/PiQSCQN9PcVAv46ZmppiyJAh4v6FCxeqPKd0miFDhlQ5pr8q/v7+1S6/W7ducHNzU6u8ffv2ISMjA4DhdNvPzc2FjY2NWo9evXpVq6xevXqpXEZtBKClCYKAQ4cO4eTJk7C2tkb37t2VjqelpeHGjRsYMmQIOnfujJdffhl79+5FZmZmpflu2LABffr0QUhICPbs2VNp2uLiYvz8888wMzNDly5dKkxnZ2eHadOmqf7i1JSSkoJly5YBeDbMoLatX78ew4YNQ1RUFK5fv47jx49j//79WLx4sVK6MWPG4OHDh7h+/TquX7+Oc+fO4c6dOzh06BCAZ0MvSnoclB6GUfoGHxEREb0YpFIpMjMzVepFGRQUhOYtWuL8J++hRctWeOedd1BUVFTj2IO0g4G+FpQOdiMiIpQm2ntedna20jjiyZMnV5j23r17CAkJwblz5yotf+LEieKSeteuXcP9+/crTCsIAr777rty666qrVu3AgD69u2LFi1aqH0+1a2SVuCWLVvC0tISI0eORPv27XHkyJEyN3nCw8Px7rvvwsjo2X8ls2fPRk5OTpXBu4mJCb7//nt4enpi0qRJ+OOPPypMm5qaiszMTEilUpWWgqzI4MGDxdZtb29vpZ4q5UlISBDTuri4oH79+rhy5QqmT5+OTz75RO3yS5ft7e2NI0eOKB3fu3cvpk+fLu47OztjwoQJ2Lx5s1K6ixcvwt3dXfzSdXBwwKpVq8rchCEiIiKSyWQQBEGlnqUmJiYICf4czVu2Qkjw55BIJCgqKmKLvp7i9Ila0KtXLwwaNAjHjh1DXl4e1q9fj0WLFpWbNiQkRLwwfX190adPn3LT3blzR5zoDAC+/vprjBkzpty0np6eCAoKEgPwVatWVTjmeM+ePYiLiwPwbBK+ivKsyB9//IGrV68CMKwl9aysrCq9QVOeqKioarXqX7hwQeWZ062srNTO/3krVqxAYGAgAOD48eOYNm0aPvzwQ7z66qtl0u7fvx8nT54U9/39/eHh4YHQ0NAqW9elUimOHDmCHj16wN/fH5GRkahXr57a9Z0+fTouXryIvLw8PH36FF988QXeeuutMukiIiLg4eEh7ld0LZUomYwPALKysjB69GjY2Njg008/hbW1tdr1fH5ivJL3uIS5uTnee+89XL58GXK5HMbGxnjy5Amys7ORmJgornjg6+uLnTt3IiMjA2PGjEG/fv3wyiuvqF0fIiIiMnzm5uawsbFRaQJuABg0aBAGDRoE4FlvxpI8SP8w0NeSrVu3omvXrkhJScHKlSvh4+OD3r17K6W5cOECVq9eDeDZ3biKZjQHgJ07dyp12964cWOlQfnKlStx+vRp3Lt3Dzt37oSvry9GjRqllObu3buYP38+AMDCwgK7du2CsbGx2q8TAOrXry+ORTYEEolE7WCvunMTWFpaViuwrA0DBw7EyJEj8dZbb+HatWtKS8SdPXsWMTExZT63+fn5+PPPP/Hbb7+hR48elebv5eWFPXv2wN/fH2+++abSTYMSMpkMdnZ2SE1NLXc5ypIW7127dmH8+PEqz4VQ3sSCFbG1tUVYWBiaNm0KhUKh1Mtl27ZtStemm5tbmdn8y7Nr1y5xOzExER07dkSTJk3www8/oFGjRmKa8ePHIz8/X0y7b98+bN68GV999RVef/11mJub480338Tnn39eo6U3iYiIyDA5OjriwYMHag/xzMrKAsBAX18x0NeSxo0b4/Dhwxg6dChSU1Ph6+uLqVOnol+/fpBIJDh16hS2bNmCvLw8ODk54ccff4Snp2eF+T0/CVtVk7I5ODjgp59+gq+vL2JjYzF69GgcP34cw4cPh6WlJX777TesX78eGRkZsLS0xNdff42uXbuq9RozMzPx7bffAng25qcm3a5JexYsWIAtW7bgo48+wtGjR8XnQ0NDcfLkSbRr104p/aNHj+Du7o5t27ZVGegDwPDhw7FixQosXrwYc+fOLXPcyMgIfn5+2Lt3Ly5dulRlS7ym1K9fH1OmTMG6detw9epVcb6AKVOm1Hjuie+//x5PnjzBtm3bxCC/ImZmZpgzZw7mzJmDv/76C6Ghodi0aRPi4uKqHLZDREREL57GjRvj0aNHuHPnjlrnCYIAV1dX2NraaqhmpEkM9LWoe/fuuHHjBmbNmoVDhw4hJCQEISEh4nFjY2MMHz4cGzdurPLHf0BAADZv3iy2Zs6cObPK8ps1a4aoqCjMnz8f33zzDXbu3ImdO3eKxyUSCfr27YuNGzdWa0m93bt3IycnB0ZGRpg0aZLa55NuqFevHoKCgrBhwwaxlf7ff//FzZs3ywT5ANCwYUN07doVBw4cwPr16+Ho6FhlGYsWLcLNmzexceNGuLq6lgnmly5diiNHjmDVqlXw8fGp1bVcO3bsiMOHD1d5jQHAvHnzsHHjRixatAi//PJLrdWhZI6Dkn9LlNfN7u2338a+ffsAPFvqcsOGDYiJicH58+fFNCU31Upu+N25cwf5+fkqDwEhIiIiw2FtbY1XXnmlzEo+qjA1NYWFhYUGakWaxkBfy9zc3PDdd98hOTkZ58+fR3x8PIBnwVLv3r3FcblV8fLywh9//IGIiAh06tQJPj4+Kp1nb2+PHTt2YN26dThz5gzi4uKQn5+PBg0aoHv37njppZeq/dpmzJiBGTNmVPt8Q1WQolrXclXT1YX3338fW7duxaJFi3Dq1Cns2rULfn5+FaYfOXIkLl++jPDwcMyePVulMnbu3Ino6OhyJ+Zr3rw5fvzxR4waNQqjR4/GunXr0KBBAwBAUVERTpw4ge3btwOA2nednzx5otJMtADg4uKC8ePHY9u2bfj111/LDFuorkGDBsHKygohISF47bXX4ODggPv372PLli1l0u7fvx9+fn7i0Jzk5GT89ddfGDhwoJjGw8MDEokEjx49AgAsW7YMXl5eDPSJiIheUBYWFgzYXzASQVMLbxMZCLlcjpiYGHh6etboP8i4uDi0aNkC8jy5yudYWFrg3t17cHd3r3a5qujcuTNSUlIQHx+PRo0awcnJCQcPHkSTJk3ENBMnTsRXX30FW1tbCIIAqVSKYcOGYcOGDUp5ffzxx9i/fz/u378Pe3t7tG7dGlOmTEFwcDCio6Ph4uICqVSKy5cvl6lHfHw8unTpgtWrV5eZrA4AkpKSsGHDBhw7dgxFRUUoLCxERkYGPDw88Morr+A///mP2MsgMjISb7zxBlJTU5GTk4MGDRrAxKTsvc1Hjx4hOjoaHh4eCAsLw6ZNm8Q151u3bo3+/ftj7dq1YvqYmBg0b94cjo6O4nj88pacjIiIwEcffYTo6Gjk5OSI8xv89ttv5c7XcP78eTF9s2bNUK9ePXh6eiI4OBitWrXC9OnTMX36dAQHB+PHH39EZmYmJBIJCgoKMGTIECxduhQ2NjZifp999hm2bdsGJycnuLq6Yu/evXBycipTbona+pwTERERkfYx0CeqQm0GQHFxcUhNTVU5vUwm03iQTwQw0CciIiIyJOy6T1SH3N3dGbgTEREREZFGGVWdhIiIiIiIiIj0BQN9IiIiIiIiIgPCQJ+IiIiIiIjIgDDQJyIiIiIiIjIgDPSJiIiIiIiIDAgDfSIVcSVKMmT8fBMREREZDgb6RFUwNTUFAOTm5mq5JkSak5OTA4lEIn7eiYiIiEh/mWi7AkS6ztjYGA4ODkhJSQEAWFlZQSKRaLlWRDUnCAIUCgUyMzORmZkJBwcHGBsba7taRERERFRDEoH9NYmqJAgCkpKSkJGRoe2qENU6Y2NjODs7w97enjexiIiIiAwAA30iNRQVFaGwsFDb1SCqNSYmJjA2NmaAT0RERGRAGOgTERERERERGRBOxkdERERERERkQBjoExERERERERkQBvpEREREREREBoSBPhEREREREZEBYaBPREREREREZEAY6BMREREREREZEAb6RERERERERAaEgT4RERERERGRAWGgT0RERERERGRAGOgTERERERERGRAG+kREREREREQGhIE+ERERERERkQFhoE9ERERERERkQBjoExERERERERkQBvpEREREREREBoSBPhEREREREZEBYaBPREREREREZEAY6BMREREREREZEBNtV4CIAEEQkJubq+1qEBERERFphZWVFSQSibarYTAY6BPpgNzcXNjY2Gi7GkREREREWpGdnQ1ra2ttV8NgsOs+kZpycnIgkUggkUiQk5NTa3kSEREREb3oVP2trYnf5IaELfpEOsDKykrcTk5OrtbdzJycHNSvX79aeVTnXHXOUTVtTV6DodDl96Au66aJsmorz+rmw+tMt+jq+8DrrGb58DrTLbr6Puj7dVZb+eradVb69zDVHAN9Ih1QejyStbV1jb8EapJHdc5V5xxV09bG+6DvdPk9qMu6aaKs2sqzuvnwOtMtuvo+8DqrWT68znSLrr4P+n6d1Va+unqdUfWx6z4RERERERGRAZEIgiBouxJERMCzbl0lkxJyQhYizeB1RqR5vM6INI/XWeXYok9ERERERERkQBjoExERERERERkQdt0nIiIiIiIiMiBs0SciIiIiIiIyIAz0iYiIiIiIiAwIA30iMkhyuRyHDh3C1KlT0alTJzg4OMDExASOjo7o1q0bPvnkE6Snp2u7mkQGp7i4GN27d4dEIoGHh4e2q0Ok92JjYyGRSKp8HD9+XNtVJTIIf/75J6ZOnYpmzZrB2toa9vb2aNmyJd5++21s27ZN29VTGQN9IjJI06ZNg7+/P/bt24ehQ4fi+++/x2+//YatW7fCyMgIS5YsgZeXF+7du6ftqhIZlPXr1+Py5cvargaRwbGysoK1tXWFDxMTE21XkUjvrVq1Cp06dUJCQgLWrFmD8+fPY9++fWjTpg3279+PGTNmaLuKKuNkfERkkAIDA7F7925cunQJ3bt3VzpWWFiIHj164Nq1a+jfvz9OnDihpVoSGZYHDx6gbdu2MDIyQnZ2Nho3bozY2FhtV4tIr8XGxsLT0xMxMTHsJUOkQZs2bcLMmTOxePFirFixoszxQYMG4X//+x8UCoUWaqc+tugTUY0IgoD169fD0tISEokEgYGB2q4SAMDd3R0jR44sE+QDgKmpKUaNGgUAuHjxYl1XjchgTZo0CfXq1cPkyZO1XRUitenq9xmRIdHV6yw+Ph4LFy5Es2bNsHTp0nLTrFu3Dtu3b6/jmlUfA30iqra4uDi89tprmDNnDuRyea3le/PmTcyePRtt27aFg4MD7O3t0aZNG8ycORNRUVEq5bFixQp89913FR43NzcHANSvX782qkykUbr6w6i0sLAwnDp1Ctu2bYONjY22q0OkFl3+PiMyFLp8nW3evBm5ubkYPXo0jI2Ny03Tpk0bTJgwodbqrWkM9ImoWsLDw9G2bVucOXOm1vIsKirC4sWL4e3tjS+++ALR0dFo2rQpWrRogQcPHmDTpk3o2LEjPvjggxp1myouLhZvAgQEBNRW9Yk0Qpd/GJVISEjA/PnzMXbsWAwcOLDW6khUF/T5+4xIX+j6dbZ//34AQNeuXWutflonEBGpISUlRRgxYoQAQAAgTJo0SejSpYu4HxAQUO283333XTGfYcOGCYmJieKxpKQkpXIDAwPVzv/p06fC6dOnBV9fX8HIyEh47733hMLCwmrXl0jTdu3aJdjZ2Ymf+9q4zhQKhbBo0SLByMhIACBYWFgInTp1Erp06SJYWFgIAASJRCIsXLhQ5etj+PDhQr169YTU1FRBEARh6dKlAgChcePG1a4nkabpy/dZTEyMAEDYsmWLMGTIEMHDw0OwsrISXF1dhcGDBwvffPONoFAoql1XIk3Sh+ssOTlZTPfXX38Jx44dEwYPHizUq1dPsLa2Fpo1ayZMmzZNiImJqXZdtYGBPhGppXv37gIAwdXVVYiIiBAEQRB8fHxq/B92aGiomEe3bt2EgoKCMmkKCgqEbt26iek2b96sUt63bt0SgxoAgre3t3D+/Plq1ZOoLujDD6MS+/btEwAI3377rfgcA33SB/ryfVYS6FtaWgoffPCBcPbsWSEyMlIIDw8XWrduLQAQ+vbtK2RkZFSrvkSapA/X2ZkzZ8Q0b7zxhmBpaSksX75c+P3334Xz588LM2bMECQSiWBrayucPHmyWvXVBgb6RKSW9u3bC2+99ZaQlpYmPlfT/7CzsrKEevXqiXlcvHixwrQXL14U00mlUuHp06dV5i+Xy4WbN28Kv//+u7Bt2zahZcuWgpGRkfDuu+8KeXl5ateXSNP04YeRIAhCamqq4OzsLPj5+Sk9z0Cf9IG+fJ8lJiYKffv2Fa5evVpueW3bthVv3BHpGn24zg4ePKjUa+67774rk6bke83JyUlITk5Wu87awDH6RKSWLVu2YN++fXBycqq1PLdu3Yp///0XANCiRQv07NmzwrQ9e/ZEy5YtAQBpaWnYsmVLlfmbm5vDy8sL3bp1w+TJk3Ht2jV06dIFO3bswNtvv107L4KoFuXl5eGtt97CrVu3MGjQoFrJMzs7G4sWLRL3g4ODYWpqWiadqakpgoODxf0lS5YgMzOz3Dxnz56NvLw8bN26tVbqSFSX9OX7zMXFBadPn0bnzp3LHLOxscHKlSsBAEeOHMHly5dr+hKIapU+XGe5ubnidqtWrfDGG2+USbNgwQJYW1vjyZMnevOdx0CfiNRS2X+m1VUyAQoADB06tMr0pdOUPldVVlZWWLNmDQDg8OHDOHXqlNp5EGmSPvwwOnbsGPbs2YP//ve/aNiwYa3Vk6iuGML3GQD069dPnCU8IiKiWnkQaYo+XGcWFhbidq9evcrNw8rKSrzZ9r///U/lumoTA30i0qrHjx/j2rVr4n55LRbPK50mKioKDx8+VLvcl19+WfyPnT+MSNfo+g+jrKwsTJ48Gb169cKUKVNqr5JEekxb32cWFhaoV68eACA2Nlbt84n0iSaus9I31Z2dnSvMx83NDQAQHx+vcn21iYE+EWlVZGSk0n7r1q2rPMfLy0tpv/R/+KoyNjaGVCoFACQmJqp9PpE+qe0fRteuXUN8fDwuXboEU1NTmJiYKD1WrFgBAHj48KHS8+fOnavFV0WkW7T1fQYAgiBU6zwifaOJ66x0HkVFRRXmo2/XGQN9ItKq27dvK+2X3C2tjKura6V5PH78GE2bNsWvv/5aYR6CIIjjju3s7FStLpFequ0fRl26dMHNmzdx48YNREVFlXmUtPK7ubkpPa/KDQYifaWJ7zMAmDRpEnbu3FlhHnl5eUhNTQUANG7cWJWqEuktTVxnLi4uaNasGYDKW+sTEhIAAB4eHqpUVetMtF0BInqx3b9/X9w2NTUVW9kr4+joCHNzc+Tn55fJAwAKCwtx//59XL58Gb179y43j8jISGRlZQEAunfvXt3qE+mF2vph9PrrrwMArK2ty9wIKK2k66OpqWml6YgMiSa+zwDgxIkTSEpKwvjx48vN4+TJk2IrZG1N3kmkqzR1nY0dOxZLlizBuXPnIAgCJBKJ0vHc3FzxhveQIUNq8hLqDFv0iUirSs/mbWVlpfJ5pdNWNCP4hg0bkJKSUub5/Px8zJs3DwDQsGFDjBo1SuVyifRRTX4YlZcHEZWlye+ziIgIXL16tczzWVlZ+OijjwA8C/J79OihcrlE+khT19mcOXPQoEEDPHr0CGFhYWWOr1mzBjk5OWjYsKHezE3DFn0i0qqSVnUASkFFVUrPkFo6DwAwMzODubk54uPj0aZNG8ybNw+dOnWCVCrFX3/9heDgYERFRaFBgwb4+eef1fqiINJHNflhVNICUlEAUiIjIwOPHj0CAPEGW2FhIW7dugXgWS8AT09PtepNpE808X0GPBteVlRUhL59+2Lu3Lno3bs3nJyccOvWLfz3v//FnTt38PLLL+Obb76p2Qsg0gOaus5sbGxw9OhR9OvXD9OnT8fDhw/h5+cHhUKB/fv3Y/PmzeLvRn0Z8slAn4i0qrCwUNw2MVH9v6TSaUvnATzrlvzo0SMcOHAAJ06cwPbt25GUlITCwkI4ODigTZs2WLt2LSZNmqQ3/1kT1YSmfhiVdujQoTJdixMSEtC2bVsAgI+PD86ePaty2UT6RhPfZwBw9epV/PTTT/j555/x/fffIzg4GPn5+XByckLHjh3xwQcfYPTo0WqVSaSvNHWdAUD79u1x+/ZtrFmzRrzWjIyM0KxZMyxevBizZs2q1WVvNY3/IxCRVllbW4vbJS2HqpDL5eXmUUImk2HatGmYNm1azSpIZAA0+cOoRGBgIAIDA9WuG5Gh0NT3mbm5Od544w288cYbNasgkQHQ1HVWol69eli7di3Wrl1bvQrqEI7RJyKtsrW1FbdL/ydcldL/uZfOg4jK0vQPIyLi9xlRXeB1pjoG+kSkVSWzcwPPZjQtKCio8hyFQoHs7Oxy8yCisvjDiEjz+H1GpHm8zlTHQJ+ItKpVq1bitiAISExMrPKcxMREFBcXl5sHEZXFH0ZEmsfvMyLN43WmOgb6RKRVz6+xHRsbW+U5Dx8+VNpv06ZNbVaJyODwhxGR5vH7jEjzeJ2pjoE+EWlV586d4eDgIO5fv369ynMiIyPFbVtbW3Tr1k0TVSMyGPxhRKR5/D4j0jxeZ6pjoE9EWmVqaoohQ4aI+xcuXKjynNJphgwZAjMzM43UjchQ8IcRkebx+4xI83idqY6BPhFp3ZQpU8TtiIgIpXHBz8vOzkZERIS4P3nyZI3WjcgQ8IcRUd3g9xmR5vE6Uw0DfSLSul69emHQoEEAgLy8PKxfv77CtCEhIcjLywMA+Pr6ok+fPnVQQyL9xx9GRJrH7zMizeN1phoG+kSkE7Zu3SrO6r1y5Ur8+uuvZdJcuHABq1evBgDIZDJs27atTutIpM/4w4iobvD7jEjzeJ1VTSIIgqDtShCR/khOTkZAQIDSc1euXEF6ejoAwM3NDW3btlU6Hh4ejvr161eZ9++//46hQ4ciNTUVFhYWmDp1Kvr16weJRIJTp05hy5YtyMvLg5OTEw4fPoxevXrV3gsj0nF9+vTBuXPnAAABAQHYtWuX2nk8fPgQXbt2RUpKCiwtLfHLL7+gd+/eSmkuXLiAAQMGIDc3FzKZDFeuXIGnp2dtvAQincLvMyLN43WmPQz0iUgtsbGxav/oj4mJgYeHh0ppExISMGvWLBw6dAgKhULpmLGxMfz8/LBx40Y0atRIrToQ6RP+MCLSPH6fEWkerzPtYaBPRDopOTkZ58+fR3x8PACgYcOG6N27N1xdXbVcMyLN4w8jIsPB7zMizeN1VhYDfSIiohcUfxgREREZJgb6RERERERERAaEs+4TERERERERGRAG+kREREREREQGhIE+ERERERERkQFhoE9ERERERERkQBjoExERERERERkQBvpEREREREREBoSBPhEREREREZEBYaBPREREREREZEAY6BMREREREREZEAb6RERERERERAaEgT4RERERERGRAWGgT0RERERERGRAGOgTERGV8vDhQ2zZsgXDhg1D69atIZPJYGpqCicnJzRv3hzDhw/HokWLcOLECeTl5Wm7uqQlaWlp6Nu3LxwcHLBy5co6KfPBgwfo2LEjpFIpwsPD9bYMIiLSPIkgCIK2K0FERKRt8fHxWLJkCXbv3o3i4mIAQOPGjeHq6gpLS0ukp6fj3r17SsG9ubk5+vbti3feeQf+/v6wtbXVVvWpji1evBiffvqpuB8dHY0mTZpotMyxY8diz549AJ599tLT02Fpaal3ZRARkeaxRZ+IiF54R44cQcuWLbFr1y6YmZlhyZIlePDgAWJjY/Hbb7/h9OnTuH79OjIzM3Hq1CkMHjwYAJCfn4/jx48jICAAffv21fKroLpUVFRU6b6myywuLhZvSJVn165dkEgkkEgk6NOnj0bKICIi3cVAn4iIXmjbt2+Hv78/cnNz0ahRI0RFRWH58uXw9PQsk9bExASvvvoqjh49ik2bNkEikYjHFApFXVabtGz27Nno3bs3bG1tsXjxYjRv3lzjZS5btgzt2rWDo6MjNm7cCGtra70sg4iINM9E2xUgIiLSlnPnzmHatGkoLi6Gra0tTpw4gRYtWqh07vTp0/H48WOsWrVKw7UkXeTs7Izz58/XaZnNmzfHjRs39L4MIiLSPLboExHRC+nJkyd45513xK7KH374IVq2bKlWHkuXLkX9+vU1UT0iIiKiamOgT0REL6QNGzYgMTERAGBnZ4fZs2ernYe5uTkmTpxYyzUjIiIiqhl23SciohdOTk4ONm3aJO4PHTq02jOLDxo0SO3l1R48eIDffvsNycnJUCgUqF+/Pjp27Ii2bdtWqw7qiI6Oxo0bNxAXF4fc3FzY2dnB3d0dPXr0gLOzc7XzTU9Px7lz5/Do0SNkZmbC1tYWjRo1QocOHdC4cWO18rp//z5+/fVXJCUlwd7eHh4eHnj11Vdhbm5e7frpArlcjsuXL+P27dtIT0+HmZkZXFxc4O3tjTZt2ijN+aCPnjx5In4GsrOzIZPJ0KJFC/Ts2RMmJjX/yfnw4UNcuHAB8fHxsLa2Rrt27dCzZ0+YmpqqnIcgCIiKikJUVBT+/fdfFBcXQyqVwsvLCx06dICFhUWN60lEpBMEIiKiF8zhw4cFAOJjz549NcovLy9PyM/PrzLd0aNHBW9vb6WySz88PT2F8PBwoaioqEb1ed7du3eFuXPnCo0bN66wbIlEIgwdOlS4ffu22nm//vrrgrGxcYV5N23aVHj//feF6OjoSvO6d++e8Nprr5Wbh5OTkxAcHCwIgiAsXbq03DQBAQGCIAhCSEhIuceXLl1apszExMRy0/r4+JRbRx8fn3LT79y5s8LXlZeXJyxevFhwcHCo8D2qV6+eMH78eOH8+fNlzq/o73bmzBmldDExMRXmX9n7pU4Z5bl165YwdOhQwcjIqNw87O3thSVLlghZWVkV5mFvb1/uuTExMUJOTo4QEBBQ7mfspZdeEs6dO1dlHQVBEL7++mvhpZdeqvD9sLKyEvz8/IT9+/erdD0TEekytugTEdEL58yZM0r7Xl5eNcqvqlbA4uJizJkzBxs2bAAAuLi4YNq0aejSpQtMTExw8+ZNbNu2DX///TcCAgJw6NAhfPPNN7W2fvmsWbPwyy+/AADc3d0xefJktGnTBk5OTkhOTsaZM2cQHh6On376CadPn8ahQ4fQr1+/KvM9cOAAxo0bh/z8fJiamiIoKAgDBgyATCZDamoqzp49iy+//BLR0dFYu3Yt1q1bh1u3bqF169Zl8vr999/h6+uLrKwsAECvXr0wYcIEvPTSS0hPT8fx48exYMECREdHo169euJ5bm5uYk+Ikn89PDwwYMAAAMDNmzeRkJBQ4WswNzcX0z5+/Bi3bt2q9DV37dpV/HtfuXIF6enplabPz8/HwIEDce7cOQDPeoC8+eabaNSoEfLz83Hv3j1s2bIF9+/fx86dO7Fz507ExMTAw8NDzMPHxwfJyckAnk0gKZfLyy3L0tKy3Nfi6OiIrl27lklfugeJqmU879tvv0VgYCAKCgpgZmaGoKAg+Pr6wsHBATExMdi9ezfOnDmDFStW4MCBAzh+/Hi5PTxGjhyJnJwcAMD+/fuV3r9XX30VV65cQceOHeHu7o60tDT8/vvvKCgowIMHDzBgwABcu3at3M9ViQ8//BCrV68WX/fEiRPRtGlTWFhY4MGDB/j2229x5swZ/Pzzz/j555+xc+dOBAYGqvQeEBHpJG3faSAiIqpr3bt3V2rJy8vL02h58+bNE8tq166d8O+//5ZJk5ubKwwcOFBMN2LEiForf8CAAQIAoXfv3kJubm65af755x+hQYMGAgDBwcFBSExMrDTPn3/+WZBIJAIAwcbGRrh8+XK56f7++2/B1dVVfF3Xr18vkyYxMVFwcnIS08ycOVMoLi4uk+78+fOClZWV0KFDh3JbpcsTEBBQaYt+aTt37qyyRb+00q37FbXor1y5UkyzaNGictMUFBQIY8aMUWrFrkjplvfKWtvVfS3VKePIkSPiZ8DW1laIjIwsN92SJUvE/Dw8PIT09PRKyy99bf7nP/8RXnrppTKfm9jYWKF58+YqXS+XLl0S0/Xt21coLCwsN93WrVtV6qFBRKQPOBkfERG9cEpaLgHAyspKo+NyT58+jeDgYACAsbEx9u/fD5lMViadpaUl9u7dCwcHBwDAoUOHEBYWVqt12bJlS4W9BJo2bYp169YBADIyMhASElJhPmlpaQgICIAgCACA4ODgcluMAaBZs2bYuHFjpfWaO3cunjx5AgBo1aoVQkJCyh2v3rt3byxduhTXr1+vND9dsmfPHnF76tSp5aYxNTXF5s2ba60HR11ITU1FYGCg0megU6dO5aZdvnw5fHx8AACxsbGYMWOGyuUcOHAAP/30E7y9vZWeb9y4MT7//HNx/+jRo2KPgOeV/hsEBQVVOF/AlClT0LNnT5XrRkSkyxjoExHRCyctLU3ctrGx0WhZK1asEIOh4cOHV7qEn6OjI4KCgsT9zz77TFz+ryY+++wznDx5ssohCgMHDhS3jxw5UmG6TZs2ie+hs7Mzxo8fX2m+I0aMqHCiv4SEBHz33Xfi/qxZs2BsbFxhXlOmTNGrSfnu378vblf2uuzs7ODj44P69etXmk5XbNq0Sbw54+zsXGU39/fff1/c/vbbb/HPP/+oVM7rr79eYZf8/v37w8zMDABQWFhY4bALVf8GwLNroH79+np104WIqDwM9ImI6IWTl5cnbpcECprw8OFDcWw2APj5+VV5ztChQ8Xt2NhYnD17tsb16NSpE1577bUq05X0JgCAu3fvIj8/v9x0u3btErcHDhxY5YzqxsbGmDBhAnx8fMrcWPnhhx+gUCjE/UGDBlWal52dHbp161ZpGl1iZWUlbpdugS7PsWPHkJSUhEaNGmm6WjUWHh4ubqvyGejXr58YPBcXF2P37t0qlTN48OAKj5mbm8Pd3V3cr2guhtJ/g40bN6KwsLDCPBcvXoykpCS89dZbKtWPiEhXMdAnIqIXjlQqFbezs7M1Vs758+eV9tu1a1flOc+neT6PmsjOzsb+/fuxYMECjB49Gn5+fhg4cKDSo7SSFtvS4uLiEBsbW2F9K7Jq1SqcPXsWTZs2VXr+999/F7ft7e2VAreKtGrVSqUydUHJ5HgAsHbtWvj5+eHcuXNiLw99FB8fr/ZnwNzcHM2bNxf3Vf1cV/W3dnJyErcrupZL/w0uXryIDh064Ntvv63wRhYRkSHgrPtERPTCkclkSEpKAqDZQP/evXtK+6oEsQ4ODrC1tRVnn//777+VjlfW9R8A/P39sWrVKqXnCgoKsHLlSqxbt67CcczlKS8Qev41lTeDujqio6PF7YYNG6p0TumeB7pu9erVOHv2rPh5O3r0KI4ePYpGjRph+PDhGDZsGHx8fDTas6S2VedzXZLuxo0bAMp+ritS1d+69PwaFQ1zmTBhAr799luxd81ff/2F0aNHw87ODoMHD8awYcMwaNAgvfpcERFVhS36RET0wmnWrJm4rVAokJiYqJFySs8FAKg+H0DpdM/nce/evUofz78WhUIBf39/LF++HDk5ObC1tcXq1atx9+5d5OXlQRAEpUdVnm/lt7a2Vuk1VSQjI0PtvDQ5eWJta9y4Ma5evYrXX39daYLB+Ph4bNq0Cb6+vnBxccH06dOVxpLrMk18ritiampa6fHyJm0sL4/jx49j4cKFSmPvMzMzsW/fPowePRr169eHv79/rfagISLSJgb6RET0wnn11VeV9v/66y8t1UTzNm/ejIiICACAiYkJTp06hYULF6JFixa1EjCrEmhpIy9d0rBhQxw8eBB3797FokWLlLqwA0B6ejq2bNmCNm3aVLraAVWfhYUFVq9ejbi4OGzYsAEvv/yy0uetoKAAhw4dgo+PD8aNGwe5XK7F2hIR1RwDfSIieuH4+voq7V+5ckUj5ZSeCwBQfZhA6XTP5/F8C/zzj9IT5QHA1q1bxW1/f3906dJFzVehrLqvqSKlu0urmpemxlZresx28+bN8cknn+DevXu4ceMGPvjgA7i6uiqVP3fu3DJ/Q12jic91XZHJZJg5cyYuXLiAR48eITg4GO3bt1dK8/XXX2PKlClaqR8RUW1hoE9ERC+c5s2bK008d/DgwWrn9fHHH8PPzw9+fn44deqU0rEWLVoo7cfFxVWZX0ZGhjg+v6Su1ZWTk6M0nrpHjx7VzqtEdV5TZUpPzhcfH6/SOenp6SrnX3o5taoCeXXyral27dph1apVePjwIdavX680Rn/58uV1Vo/qqO5noHS6mnyua4ubmxvmzJmDqKgoREREoEGDBuKx3bt3K004SESkbxjoExHRC6l0MPXHH3/g2rVraueRnJyMtWvX4ujRozh58iQ6dOigdPyVV15R2v/zzz+rzPP5ND4+PmrXq8TTp0+V9m1tbStNr0qLdqNGjeDp6Snuq/KagGfL6G3btk0cRlCi9M2HzMxMlYLGu3fvqlQmoDzuv7xVBEq7ffu2yvmq6vfff8f169crPG5qaopZs2ZhxYoV4nOxsbFITU2t9brUlkaNGsHDw0PcV+UzkJ+frzQBX00+1+q6ffs2fv/990o/34MGDVK64ScIAiIjI+uiekREGsFAn4iIXkhdu3bFjBkzxP158+apnceKFSvENblnzJihtNQX8Gwitj59+oj7P//8c5V5/vTTT+K2h4dHjQIiJycnpXHIjx8/rjS9qjOhBwYGitvHjx+vcLbzErm5uRg3bhymTp2qtJweALz++utKa7AfO3as0ryysrJw+fJlleoJPGu1LfH8bPGlKRQKHD9+XOV8VdWjR48yc0KU5/n14ms6X0Hp97S4uLjM8cuXL+P48ePVngDw+c+AQqGoNP3JkyeRl5cHADAyMsLYsWOrVW51TJs2DT169MCdO3cqTdetWzela9hQ54wgohcDA30iInphhYSEiIH0uXPnsHDhQpXPPXjwoDj+3dPTE0uWLCk33ZIlS8SA4fDhw5UGm+np6QgLCxP3P/74Y6Wu5+qysLBAx44dxf1Dhw5Vmj48PFylfGfMmAGZTAbgWa+G3bt3V5p+x44dyMnJgbGxMcaPH690zNXVFW+//ba4v2HDhkpvHISGhqo1UVrp13/58uUKZ3vftGmTxlrRMzIyxGXlKlJ62ICrq2uNx7A7OjqK2+WNoZ8wYQIGDRqEw4cPVyv/GTNmiHVMSUmpcl6BtWvXitvvvPOO0soXdaVkeb2K5OfnizcjAMDLy0vTVSIi0hgG+kRE9MIyMTHBjz/+iL59+wIA1qxZgwkTJigt+fa8oqIiBAcH4+2334YgCJBKpfjpp59gZ2dXbvq+ffti7ty54rlvvvlmuQFlXl4eRo8eLZY9YsQIBAUF1ewFApg5c6a4HRUVhU8++aTcdMePH8cXX3yhUp5OTk4IDw8Xb2DMnj27wqEPFy9exKJFi8S6lO72X+Lzzz8Xbxzcvn0bc+bMKXepv0uXLmHp0qVo0qSJSvUEnr3/JQGpXC4v8/ctLi5GWFgYFi5ciAkTJqicr7pmzJiBnJycco8VFhZi5cqV4v7UqVNrXF7btm3F7ejoaLHnCQAkJiYiOjoaQPWDWalUip07d4qfgblz51bY1X3ZsmVikO3h4YFNmzZVq8yaWrlyJf75558Kj69Zs0YM9F999dUycxEQEekTiaDKorlEREQGTKFQYMGCBdi4cSMUCgXs7e0xYsQI9O3bF66urrCwsEBKSgoiIyOxb98+PHz4EADg7e2N77//vsrAs7i4GHPmzMGGDRsAAC4uLpg2bRq6du0KExMT3Lx5E1u3bhW7zo8YMQJ79+5VWvO7ugRBwDvvvIP9+/eLzw0YMABjx46Fu7s70tPT8dNPP2HXrl2YNGkStmzZIqZ75ZVXYGlpifr165fb2n/gwAGMGzcO+fn5MDMzw8SJE+Hr6wupVIqUlBQcO3YM4eHhUCgUGDhwIA4dOgRzc/Ny63nlyhX0798fmZmZAIBevXohKCgIHh4eyMjIwPHjx/Hll1/C398frVq1EudYCAgIqLI1eceOHZg0aZK4b2lpCW9vb5iZmeHOnTtISUnBhx9+iObNm4s9DhwdHdG1a1cAQM+ePcUeGwsWLBDHpF+5ckVsiffy8hInc1uzZg3atWsHQLn7t7u7OyZMmIDOnTvD3t4eqampuHv3Lnbs2IEHDx4AAIYMGYIffvhBaXK+gIAAJCcnA3jWKl3So6FLly5iV/Pw8HDUr19f6XX36dNHDLDfeecdBAYGIisrC//9739x9epVeHp64t69ezA1Na12GXv37sX48eNRUFAAMzMzvPvuu/D19YW9vT1iY2Oxe/dunD59GgDQsmVLHDt2TGl8f4nS7+svv/wiPl/eZ/B///sfPv/8c5X/Bn379sXZs2cBPJuzYfz48fDx8YGLiwuysrLw8OFD7NmzBxcvXgQANGnSBKdPn4a7u3uZehIR6Q2BiIiIBEEQhH/++UcICAgQHB0dBQAVPrp06SJ8+eWXQlFRkVr5//zzz4K3t3eF+Xp6ego7d+5UO9+qFBUVCZ999plgb29fbrnOzs7Cjh07BEEQyj3euHHjCvO+c+eO4O/vLxgbG5d7rkwmE1atWiUUFhZWWc+///5b6NevX7n52NjYCMuWLROKioqEpUuXis8HBASo9B5s2LBBsLW1LZOvvb29EBwcLAiCIOzcubPcsocPHy7m4+PjU+lnA4Bw5swZMf3NmzeF9957T3B3d6/0nIYNGwrr168v931q3LhxlWXGxMSUOe/BgweCl5dXuembNGki3Lhxo8ZlCIIg3Lp1Sxg2bJhgZGRU7nn29vbCokWLhMzMzAr/PlW9r6U/gxX9nSr6GyQlJQkrV64U2rdvX+k5tra2wsyZM4UnT55UWE8iIn3BFn0iIqLnFBUV4erVq4iOjkZycjLy8/Nhb28PDw8PdOzYUWnt8+p48OABLl26hKSkJBQXF8PZ2RkdO3YUWyA1JScnBxcuXMCdO3eQk5MDJycntGnTBj179lSavK060tPTcfbsWcTHxyMrKwv29vbw8vJCjx49KmzFr8j9+/dx/vx5JCcnw9bWFo0bN8Zrr70m9nBYtmyZWi36JTIzM3HmzBlER0dDEAS89NJL6NevX4XDLmrbP//8g5s3b+LRo0fIysqCqakp6tWrh/bt28Pb2xtGRrU/olIQBFy4cAFRUVF4+vQpbGxs0LZtW/Tp06dG8z+UJy0tDefOncOjR4+QnZ0NqVSKli1bomfPnjA1Na3VsqorKSkJN27cwP3795GRkQGJRAJHR0e0atUKXbt2rZVeNEREuoCBPhEREemV6gb6RERELwpOxkdERERERERkQBjoExERERERERkQBvpEREREREREBoRj9ImIiEjnlV5SLTo6Gvfv3wcAuLm5iWvG9+/fH/PmzdNaHYmIiHRFzabYJSIiIqoDjx8/VlpfvURCQgISEhIAAC4uLnVdLSIiIp3EFn0iIiIiIiIiA8Ix+kREREREREQGhIE+ERERERERkQFhoE9ERERERERkQBjoExERERERERkQBvpEREREREREBoSBPhEREREREZEBYaBPREREREREZEAY6BMREREREREZkP8HmnUcrxxsb7IAAAAASUVORK5CYII=",
"text/plain": [
- "<Figure size 750x463.5 with 1 Axes>"
+ "<Figure size 1000x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_data_lims: (62, 1181447)\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- "<Figure size 750x463.5 with 1 Axes>"
+ "<Figure size 1000x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_data_lims: (20, 1181447)\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- "<Figure size 750x463.5 with 1 Axes>"
+ "<Figure size 1000x1000 with 1 Axes>"
]
},
"metadata": {},
@@ -12805,11 +14998,8 @@
}
],
"source": [
- "import matplotlib.pyplot as plt\n",
- "from matplotlib.ticker import FixedLocator\n",
"\n",
- "\n",
- "def plot_data_with_inset(ax, axins, data_df, x_col, y_col, marker_styles_dict, xlim, ylim, xlabel, ylabel, legend=False):\n",
+ "def plot_data_with_inset(ax, axins, data_df, x_col, y_col, marker_styles_dict, xlim, ylim, xlabel, ylabel, markersize_dict=None, legend=False):\n",
" # loop over methods, and plot the data\n",
" for method in data_df['method'].unique():\n",
" method_df = data_df[data_df['method'] == method]\n",
@@ -12819,7 +15009,17 @@
" # some of the percentage values are very low, so we filter out the rows where the absolute value of the numerator is < min_numerator\n",
" method_df = method_df[method_df[x_col] * method_df[y_col]/100 > min_numerator]\n",
" # plot the data\n",
- " ax.plot(method_df[x_col], method_df[y_col],\n",
+ " # if markersize_dict is not None, then set the markersize_dict\n",
+ " if markersize_dict is not None and method in markersize_dict:\n",
+ " ax.plot(method_df[x_col], method_df[y_col],\n",
+ " marker=marker_styles_dict[method]['marker_pyplot'], \n",
+ " color=marker_styles_dict[method]['marker_color'],\n",
+ " markerfacecolor=marker_styles_dict[method]['face_color'],\n",
+ " markersize=markersize_dict[method],\n",
+ " label=marker_styles_dict[method]['label'])\n",
+ " else:\n",
+ " # plot the data with the default markersize\n",
+ " ax.plot(method_df[x_col], method_df[y_col],\n",
" # marker styles from marker_styles_dict\n",
" marker=marker_styles_dict[method]['marker_pyplot'], \n",
" color=marker_styles_dict[method]['marker_color'],\n",
@@ -12837,11 +15037,48 @@
" ax.set_xlabel(xlabel)\n",
" ax.set_ylabel(ylabel)\n",
" ax.set_xscale('log')\n",
- " ax.grid(True)\n",
+ "\n",
+ " # Tufte style\n",
+ " # remove the top and right spines\n",
+ " ax.spines['top'].set_visible(False)\n",
+ " ax.spines['right'].set_visible(False)\n",
+ " # set the bottom and left spines to be thicker\n",
+ " ax.spines['bottom'].set_linewidth(1.5)\n",
+ " ax.spines['left'].set_linewidth(1.5)\n",
+ " # set the ticks to be thicker\n",
+ " ax.tick_params(axis='both', which='major', width=1.5)\n",
+ " ax.tick_params(axis='both', which='minor', width=1.5)\n",
+ " # set spine limits to be the same as the data limits\n",
+ " filtered_data_df = data_df[(data_df[x_col] * data_df[y_col] / 100 > min_numerator) & (data_df[y_col] > 0)]\n",
+ " x_data_lims = filtered_data_df[x_col].min(), filtered_data_df[x_col].max()\n",
+ " print(f\"x_data_lims: {x_data_lims}\")\n",
+ " y_data_lims = filtered_data_df[y_col].min(), filtered_data_df[y_col].max()\n",
+ " ax.spines['left'].set_bounds(y_data_lims[0], y_data_lims[1])\n",
+ " ax.spines['bottom'].set_bounds(x_data_lims[0], x_data_lims[1])\n",
+ "\n",
+ " # add tick and tick label for the spine limits if they are not already there\n",
+ " # get the tick locations\n",
+ " x_ticks = ax.get_xticks()\n",
+ " y_ticks = ax.get_yticks()\n",
+ " # add the tick labels for the spine limits\n",
+ " # add the tick labels for the y axis\n",
+ " if y_data_lims[0] not in y_ticks:\n",
+ " ax.yaxis.set_major_locator(FixedLocator(list(y_ticks) + [y_data_lims[0]]))\n",
+ " ax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(\n",
+ " lambda x, pos: f\"{x:.2f}\".rstrip('0').rstrip('.') if x % 1 != 0 else f\"{int(x)}\"))\n",
+ " if y_data_lims[1] not in y_ticks:\n",
+ " ax.yaxis.set_major_locator(FixedLocator(list(y_ticks) + [y_data_lims[1]]))\n",
+ " ax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(\n",
+ " lambda x, pos: f\"{x:.2f}\".rstrip('0').rstrip('.') if x % 1 != 0 else f\"{int(x)}\"))\n",
+ "\n",
+ " # let axes breathe by moving the spines away from the data\n",
+ " ax.spines['left'].set_position(('outward', 10))\n",
+ " ax.spines['bottom'].set_position(('outward', 10))\n",
+ "\n",
+ " ax.grid(False)\n",
" if axins==None:\n",
" return ax, None\n",
- " \n",
- " \n",
+ "\n",
" axins.set_xlim(xlim)\n",
" axins.set_ylim(ylim)\n",
" # for inset, we want only the major ticks and in smaller font\n",
@@ -12853,96 +15090,116 @@
" axins.xaxis.set_minor_locator(FixedLocator([xlim[0], xlim[1]]))\n",
" # modify the labels to be in powers of 10\n",
" axins.set_xticklabels([f\"{x/1e5:.1f}x$10^5$\" for x in [xlim[0], xlim[1]]])\n",
- " axins.grid(True)\n",
+ " axins.grid(False)\n",
" ax.indicate_inset_zoom(axins)\n",
"\n",
" if legend:\n",
- " ax.legend()\n",
+ " ax.legend(\n",
+ " # loc bottom left\n",
+ " loc='lower left',\n",
+ " fontsize=0.5 * mpl.rcParams['font.size']\n",
+ " )\n",
"\n",
" return ax, axins\n",
"\n",
"\n",
"def save_and_show_plot(fig, filename):\n",
- " fig.savefig(filename, format='png', bbox_inches='tight', \n",
+ " fig.savefig(filename, format='jpg', bbox_inches='tight', \n",
" # high dpi\n",
" dpi=300)\n",
" plt.show()\n",
"\n",
"\n",
- "print(\"Note that y axis variable is the observed minus expected percentage of neighboring coacquisitions,\\n \\\n",
- " for a maximum of 1 intervening gene between coacquired genes\\n \\\n",
- " and x axis variable is the number of coacquisitions with known positions\")\n",
- "\n",
- "# print legend\n",
- "print(\"Legend: ALE: + (blue), Ranger: square (green, filled for 'fast' version else empty),\\n \\\n",
- " ANGST: diamond, GLOOME: triangle-up (yellow, MP is filled, ML is empty), \\n \\\n",
- " GLOOME (without input species tree): triangle-down (red, MP is filled, ML is empty),\\n \\\n",
- " COUNT: circle (purple, MP is filled, ML is empty), Wn: x (black)\")\n",
+ "print(\"Following are plots with maximum 1 intervening genes between coacquired genes\")\n",
"\n",
"# Plot excess over random expectation percentage of neighboring coacquisitions\n",
- "fig0, ax = plt.subplots()\n",
+ "fig0, ax = plt.subplots(figsize=(10, 10))\n",
"axins = ax.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
"ax, axins = plot_data_with_inset(ax, axins, coacquisitions_summary_df,\n",
" 'coacquisitions with known positions', 'observed minus expected percentage of neighboring coacquisitions (max 1 intervening genes)',\n",
- " marker_styles_dict, [4.9e5, 6.4e5], [0.15, 0.45],\n",
+ " marker_styles_dict, [4.9e5, 7e5], [0.15, 0.45],\n",
" 'Co-acquisitions', 'Corrected percentage of neighbors')\n",
- "save_and_show_plot(fig0, f\"{plots_dir}/observed_minus_expected_percentage_of_neighboring_coacquisitions.png\")\n",
+ "save_and_show_plot(fig0, f\"{plots_dir}/observed_minus_expected_percentage_of_neighboring_coacquisitions.jpg\")\n",
"\n",
"# Plot percentage cotransfers\n",
- "fig1, ax = plt.subplots()\n",
+ "fig1, ax = plt.subplots(figsize=(10, 10))\n",
"axins = ax.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
"ax, axins = plot_data_with_inset(ax, axins, coacquisitions_summary_df,\n",
" 'coacquisitions with known positions', 'cotransfer percentage',\n",
" marker_styles_dict, \n",
- " [5.5e5, 6.2e5], \n",
+ " [5.5e5, 6.5e5], \n",
" [4, 5],\n",
" 'Co-acquisitions', 'Percentage co-transfers',\n",
" legend=True)\n",
- "save_and_show_plot(fig1, f\"{plots_dir}/percentage_cotransfers.png\")\n",
+ "save_and_show_plot(fig1, f\"{plots_dir}/percentage_cotransfers.jpg\")\n",
"\n",
"# Plot percentage cotransferred neighbors\n",
- "fig2, ax = plt.subplots()\n",
+ "fig2, ax = plt.subplots(figsize=(10, 10))\n",
"axins = ax.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
"ax, axins = plot_data_with_inset(ax, axins, coacquisitions_summary_df,\n",
" 'coacquisitions with known positions', 'cotransfer and neighbor (max 1 intervening genes) percentage',\n",
- " marker_styles_dict, [5.6e5, 6.2e5], [0.06, 0.09],\n",
- " 'Co-acquisitions', 'Percentage co-transferred neighbors',\n",
+ " marker_styles_dict, [5.6e5, 6.5e5], [0.07, 0.09],\n",
+ " 'Co-acquisitions', 'Percentage\\n co-transferred neighbors',\n",
" legend=True)\n",
- "save_and_show_plot(fig2, f\"{plots_dir}/percentage_cotransferred_neighbors.png\")\n",
+ "save_and_show_plot(fig2, f\"{plots_dir}/percentage_cotransferred_neighbors.jpg\")\n",
"\n",
"# Plot observed percentage neighboring coacquisitions\n",
- "fig3, ax1 = plt.subplots()\n",
+ "fig3, ax1 = plt.subplots(figsize=(10, 10))\n",
"axins1 = ax1.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
"ax, axins = plot_data_with_inset(ax1, axins1, coacquisitions_summary_df,\n",
" 'coacquisitions with known positions', 'neighbor (max 1 intervening genes) percentage',\n",
- " marker_styles_dict, [4.9e5, 6.4e5], [0.15, 0.45],\n",
+ " marker_styles_dict, [4.9e5, 7e5], [0.15, 0.45],\n",
" 'Co-acquisitions', 'Observed percentage of\\n neighboring co-acquisitions')\n",
"save_and_show_plot(\n",
- " fig3, f\"{plots_dir}/observed_percentage_neighboring_coacquisitions.png\")\n",
+ " fig3, f\"{plots_dir}/observed_percentage_neighboring_coacquisitions.jpg\")\n",
"\n",
"# Plot expected percentage neighboring coacquisitions\n",
- "fig4, ax2 = plt.subplots()\n",
+ "fig4, ax2 = plt.subplots(figsize=(10, 10))\n",
"axins2 = ax2.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
"ax, axins = plot_data_with_inset(ax2, axins2, coacquisitions_summary_df,\n",
" 'coacquisitions with known positions', 'expected percentage of neighboring coacquisitions (max 1 intervening genes)',\n",
" marker_styles_dict, [5.1e5, 6.3e5], [0.12, 0.126],\n",
" 'Co-acquisitions', 'Expected percentage of\\n neighboring co-acquisitions')\n",
"save_and_show_plot(\n",
- " fig4, f\"{plots_dir}/expected_percentage_neighboring_coacquisitions.png\")\n",
+ " fig4, f\"{plots_dir}/expected_percentage_neighboring_coacquisitions.jpg\")\n",
"\n",
- "# "
+ "#"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 9,
"metadata": {},
"outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_data_lims: (62, 887780)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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qcfu9JAzoRvqkkfQ76zCcnr3/sqaqsJzV//wf2+evoaqgHG9iLGmHDmDYlceT0C+N18fdWae9v3cqU9/+BUC9a7vF9kjilPdqrn1w2l+o2FHcYLvzFv+lzvcVeSV8//hH5H2TSbC0kpgu8XQZ25eDrj+5WeeZ7rb6X3NZ9dQcUkf14fjnrmuwTVM+w76senoOq5+Z2+j1Q+8+l76n1YzSfvOH/7D1/SWNtm3Oc/c0d9oTFK7KZsS1JzY4Si8iIiIie2dZ4XrllVfy/PPPAxATE8OECRP48MMPa69v2rSJESNGUF1djWEY9TatMQyDRx99lBtvvNGKOCLSxkWqQnxywcMEcgoZ/8SVlpyV2hblfrWO+Tc/j79XCie/dqvOcBURERFpAcuGN99//30Mw+Cyyy4jNze3TtEK8NBDD9UWrW63m7/85S+sWLGCzz//nJNOOgnTNPnb3/5mVRwRaeOcPjeH/+lCnF433/35LUvO0W1rqgrL+e7/3sLp/eGzqmgVERERaRFLRlxXrVrFyJEjGThwIGvWrMHprLvuLxQK0b17d4qLi4GaKcM33XRT7fVwOMyQIUPYsmUL3333HWPGjNnfSCLSTuxYsJZFd71CXHoXjn5oGrE/HE/U3lXkFrPgtpkEthVwxJ8vpscxQ+2OJCIiItJuWTLiumzZMgCuv/76ekUrwOeff167g/DuzZj25HK5uPrqqwFYvny5FZFEpJ3occxQjn/+Bgyng/UvfWF3HMusf3k+TreL45+/QUWriIiIyH6ypHDNzc3FMAyGDBnS4PV333239vW0adMaLG6HDRuGaZrs3LnTikh7lZ+fT3JyMoZhYBgG06dPb/VnHgimaXL00UfXfq6+ffvaHUmkSRIHdGPSzBsYdNHRdkexzKCLjub4F64ncUA3u6OIiIiItHuWFK7BYBAAr9fb4PV33nmn9vVFF13UYJsuXWp2aQ2FQlZE2qvbb7+9dtpya9hdOLb068wzz2zRc5977jm++uoraz+MyAFiGAb+nil2x7CMv2cKhtHQAT0iIiIi0lyWHJyanFxzFEZ2dna9a1988QXZ2dkYhsHgwYM56KCDGuyjpKQEgPj4eCsiNWrevHm89NJLrfqM/dXQiPS+FBQUcOedzT+mQ6Q5giUVbJv7PRX5JYQrgrhiPcSmJdJ70kg8ibF2xxMRERGRDsqSwnX48OGYpsl///tfpk2bVufanjsFn3/++Y32sXjxYgzDoHfv3lZEalAoFKq3vrY1NTZ1uiFlZWVs374dgFNOOaXZz/rVr37Frl27mn2fSFMUrt7GxtcXkvXxMqLhCIbTARiAiRmJsvRv75IxZSwDzzuC5GGt9++wiIiIiHROlhSuhx9+OElJSXz44Yf84Q9/4Nprr8XpdPLggw/ywQcfANQeldOQiooKnnvuOQBGjhxpRaQGPfjgg6xZs4b09HS6devG4sWLW+1ZAGvXrm1y21tuuYXHHnuMxMRELrzwwmY9Z+HChTz33HM4nU5OPfXUOlOzRfZHNBxhyV/eZvPb32I4HZiRKABmOFq3XSjC1g+WsOXdxfQ781AOvvNMHK7mzxwQEREREWmIJWtcvV4vN954I6Zpcu+999KrVy+6d+9eO9pqGAZnnXUWAwcOrHfv999/z5QpU8jKyiIjI4MBAwZYEamerVu3cu+99wLw6KOP4vf7W+U5LVFZWcmsWbOAms2rYmObPuUyEolw3XXXYZomN9xwg44SEstEwxG+vONFNr/zLUBt0dqY3dc3v/MtX97xItFwpNUzioiIiEjnYEnhCvCb3/yG8ePHY5pm7ddu3bt359FHH63TftmyZaSmpjJmzBgWLFiwX5sSNcXNN99MRUUFU6dO5ayzzmq157TEq6++WrtZ1LXXXtusex977DGWL19Ojx49agtzESss+cvb5H65Fho46Tm+TwHDr1xIfJ+C+hdNyP1yLUv+8narZxQRERGRzsGywtXr9TJ79mzuu+8+hg8fjtfrJSkpiQsvvJCFCxfSs2fPOu2rq6spKiqqU+juPsvVau+99x7vvvsuPp+Pxx9/vFWesaeysjLKysqa3P6pp54CYMKECQwbNqzJ923fvp27774bqJkGnZCQ0LygIo0oWrONzW9/22DRCia9JmQS0yVArwmZNNjIhM1vf0vRmm2tnFREREREOgNL1rju5vF4+PWvf82vf/3rfbY9/PDDiUb3PvXQChUVFdx8880A3HXXXfTv37/VnxkXF9fktkuWLOHbb2umYl533XXNes7Pf/5zysrKmDRpUqPHDIm0ROZ/FtZZ07qnhH6F+HvU/GLG36OMhH6FlG5OrdfOcDrIfH0Rh/7+3FbPKyIiIiIdm2Ujrm3Vvffey5YtWxg0aBC//OUv7Y5Tz5NPPglAWlpas6Ywz549m9dffx2Px8MTTzzRWvGkEwqWVJD18bJG1rSa9Dw2E/OHS2YUeh7b8KirGYmS9dFSgqUVrZpXRERERDq+Dl24rlmzhgcffBCAJ554Aq/Xa3OiukpLS3n11VcBuPLKK/F4PE26r7q6mhtuuAGAO+64o1nH7jRFIBCo91VeXk5+fj6BQKDO+mXpeLbN/b7RjZV2j7YaP/yXw3D8OOrakGg4wra5K1srqoiIiIh0Em2mcJ0yZQoul6Uzl7n++usJhUKcf/75nHjiiZb2bYVZs2YRCARwOBz87Gc/a/J9//d//0dmZiZ9+/blt7/9reW54uLi6n3Fx8fTrVs34uLiqKjQCFpHVpFf8sM5rT9Vd7S19t29jLoaTgeV+SWtklNEREREOo82U7gClo7kvfTSS8ybN4/4+Hgefvhhy/q10u5NmSZPnkzfvn2bdE9mZiZ//etfgZodhWNiYlornnRS4YogYNR7/6ejrbvtfdTVIBSobpWcIiIiItJ5WDvE+RMlJSWUl5cTiez7PMfKykpLn3vHHXcAcM8999Tb0bgtmD9/PqtWrQKatynTjTfeSFVVFaeffjqnnXZaq2QrLy+v914gEKBbt26t8jxpW1yxHuqPnv442vrTwhV+HHUt3ZxC3aLXxO1vW1P0RURERKT9sbRwDQaDPP300/znP/9h2bJlzZpSapomhlF/lKcl7rrrLvLy8hg1ahQ33XSTJX1abfemTH369GHq1KlNuuf111/nk08+ITY2lscee6zVsvn9/lbrW9q+2LTEehsz7bmTcEN+HHUtoHRzl9r3zUiUmLTEVssqIiIiIp2DZVOFt2/fzujRo/n5z3/OV199VbuJT1O+rLR48WKeeuopDMPgySeftHzdrBV27tzJG2+8AcDVV1+Nw7Hvvw1lZWXceuutAPz2t7+lT58+rZpROq/ek0bicDn3eKfhta0N6XvKKjB+bOhwOek96SDrQ4qIiIhIp2JZ4XrJJZewbt06oPlrVa0qXqPRKNdddx3RaJQZM2Zw1FFHWdKv1Z577jmCwSBut5srr7yySffcfffd5OTkMHToUG6//fZWTiidmScxlozJY2o3aGpsbWtD3P4Qgy9cguGIYjgdZEwZiychtpUTi4iIiEhHZ0nhunLlSj7//HMMwyAmJobbb7+dTz/9lG3btlFRUUE0Gt3n18knn7zfOZ588kkWL15MSkpK7QZGbY1pmvzzn/8E4KyzzqJ79+77vGfFihU8/vjjQM2xPk09NkekpQaef+QP04WbPtoKYJoQn1HMgHOXYjhCDDzviFbNKSIiIiKdgyXzaBcuXFj7+r333uO4446zottme+SRRwCIiYnh0ksv3WvbFStW1L6eM2cOkydPrnP99ttvb5UjdD755BM2bdoEwLXXXtukex5//HHC4TAxMTHcf//93H///Y22zczMrH2dl5dX73OdeOKJGrGVfUoe1pt+Zx7Klve/xpNQ3aTRVgDDqCleE/sVMeSSZcR0bXtT9UVERESk/bHkp8qCggIAxowZ0+Ki9cQTT2zS6OPehEIhAHJycsjJyWnyfdu3b2f79u113rvwwgv3K0tjdh+BM3To0Cb/We3+XJWVlXzyySdNflZVVVW99vv7Zyydx8F3nknlrjLWzAriigkC4I6rZtC5y4mGDda+PA7M+huqeRKq6DtlNbHditj89iWkn/w0cekDD3R8EREREelALJkqnJaWBkC/fv1a3Mdtt93G888/v185tmzZ0uQNoSZMmFB737Rp0+pdnz59+n5laci2bdt4//33gaaPtgK88MILTf5cd999d+19ffr0qXf9hRdesPpjSQflcDk5+oHL6H38sVTmJVC1K6m2UK0q9FOZm0hlXkLtV9WuJCrzEkgZcQopYx4hFPDhTSxh2/+uoGj9cns/jIiIiIi0a5aMuI4ZMwaAwsJCK7rrsJ555hkikQgxMTFMmzbN7jgi++RwORn323MYcM7hZL6+iMq8mt2wqwr9GC4nYGJGojhcTjKmjmXguUeQPKw3AJ64f7J93vV44svZufB6woG/0HXssTZ+GhERERFprywpXA8++GCOOuooFi1aRGFhISkpKc3u46GHHmLlypU899xzVkRqFevWrePDDz/k4IMPrjNi2xThcJh//etfQM005KSkpFZIKNI6kof15tDfn8uqp2pmDDjcvRh4/pG4/V5i0hLpPemgersHJ/QfjjNmJlnvX4U3qYjiVb8gHPgtPY451Y6PICIiIiLtmGXH4cycOZP4+Hguu+wyqqurm33/nDlzmDlzplVxLLdmzRoOPvhgbrvtNiZOnMhLL73UrPvffffd2nW01113XWtEFGl1hiMfgNSRhzHmtlMZcc2J9D/rsEaPvPH36EP/c1+lqqg7Tm+YQPYfyZ7dvH93REREREQsK1wHDBjAggULKC8vZ+TIkTzzzDNs27bNqu5t9/zzz1NRUVH7/e7jaZrqySefBGpGpw899FBLs4kcCNFoFHdszXKAuIyDmnyfN7kLgy55larCfjhcUYJFj7L57b+3VkwRERER6YAsO6uif//+QM05pVu3bq3dfCg2NpakpCTcbvde78/NzbUqSoOmTZtGXl5e7fd7Ow6noSNjTNPc6/d7k5mZydy5cwHrR1sffPBB5syZU+dZu/30OJxu3bq16VFtadsqdmzF6Q1jRiFx4Khm3ev2xzNkxkuse+EafMkrMUMvsOHVIgZd9LtWSisiIiIiHYllheuWLVswjJodR3f/1TRNAoFAnZHKxpimWXtfa/j888/ZunVrg9d+ehxOQ0fGTJs2jSeeeILKykoAbrrppiY/+6mnnsI0TRISErjooouamXzvvv/++0aPyPnpcTh9+vSx9NnSuZRurNkZOFQejyum4anBe+P0eBl65b9YP/NWPPELcbreYe0LRQy+/AEcDssmf4iIiIhIB2SYzRk63AsrfvA0DINIJGJBmtaxdu1aPvzwQw455JBmb87U3gUCAeLi4gAoLy/H7/fbnEgOtMzX/oLD8V+qCvsx/JrXW9xPNBol85W7cXk/AqC6eAxDZjyJw7X3WRkiIiIi0nlZNuIKcPzxx/O737Vs6t8vf/lLFi9ebGUcyw0dOpShQ4faHUPEFqGyzXgTweHpvV/9OBwOBl96L5v+m4QZfRVv0jLWPns5gy9/tkUjuSIiIiLS8VlauKalpbV4JLIlR+iIyIFjRnYA4E0eYEl//c+9nawPkwmWPIkvZQPrZ13EwItewJOQbEn/IiIiItJxtJmFZaZpNmvDIxE5sJy+AgD8vYdb1mfG1CuI7flrIkEnvpQcMv99ERX5OZb1LyIiIiIdg2VrXJcvX05ycjIZGRlWdCdtjNa4dm5VBXls//QUAHqdNBtvorUzJPK/nUvx2t/i8oWoLk2g9wlPEd9nsKXPEBEREZH2y7IR19GjR6toFemgijcsAyBUHmN50QqQdugkuhzyOKFADN6EUrZ/eiVFa5Za/hwRERERaZ/azFRhEWm7KravASAS7NJqz0gZPo6eE/9FsDQed1wlO7+9gZ1L5ln6jEiwjGio3NI+7RQKbN93IxEREZEOwNLNmfZkmibz5s3jiy++YP369RQU1KyPS01NZfDgwUyYMIEJEya06tmt0vFU7lxCxfb5VO38jnDlTiLBYgzDicOTgDuuN56EAfi6HkxM2jic3vqb/JRteY+d397TaP9Jw68mZcQ1Lc4XrtpF+ZYPqMz7mmDZVqLVRRhOD05vCt6U4cT2OAZ/70kYjuYf/VK5cymBnE+pyv+OcGU+0VA5Tm8irphu+NLG4e89CV/KiL32kfXBaYQrdtR7v/v4J4jtdnij9wWLN+KJB8PVs/a9aKSa7A9OJ1JdUKetr+vB9Jz4TwDKt/2P/IV3Nudj4kmo+asrJkjZxjsIBX5Hz2PPaFYfDSnd9DaF3z9OjwlP4k2qmYZcuOppilc/U69tXMYU0g6/t9nP2LX0AUoz/13v/fSp7+L21/zZbXp9XBN6cuDwxOOO74u/57EkDDgXhzuuXquc/11OXJ8ppI66uUX/TImIiIi0F5atcd3Tc889x3333ceWLVv22q5v37789re/ZcaMGVZHEIvZvca1umgtBcsepGrXUhyeRGK7H4UnaRBOTxLRSDXh8mwqcr8kVLa15gbDia/LWLocfCeehL61/YTKt1FVsAKA4jXPESrbAkDXw/4IgCdxEN6kQc3OZ5oRilb9k5L1L2FGQvi6jiEm7TCcvi6YkSpCgRwqtn9BOJCDy9+L1DG34e/ZtB24Q4Ecdi2+j8r8b3C4E4jteSyexEE4PPFEgyVUF66iYsdXmJFKYntOoMvYX+KK7dZgX4GceUTDFUSriylY/lDt+76u4+g58alGM6x++mx8KVmYxoUMOPcOAEoy/0PB0vtr26SOvg2HNwmnL4XYbkcAEK7IpXLnEqDhP+/GhAPlFCx7BIc7SDRs4Em+kYzJ0/b9h9UA0zTZteTPlG16i8Qhl5Ey8iYMo2aySXXxBoIlG+rlw3CSPuVN3P5eTX5OpLqIrA9Ow4xUARDb6zj8vY4DwN/rOByuGADKtn4IQNWupZRteguA+P5n4esy9sfM4Qqqdi2nPHs2mBGcMWl0O+p+fCkH1XlmefYcdn5zN56kwXQ/9lGcnsRm/umIiIiItA+WFq5VVVVccsklvP3220DND4yNjajufqxhGJx11lm8/PLLeL1eq6KIxewsXMuz/8fOb+/GjFSTMOgiUg66Doer4fM+y7Z+wK7Ff8aMVgPQ7eiH8fc8tsG22+f9jKofiqr+57X8DOFouIK8L++gMv8b3PF9SDvsXrwp9XfeNc0opZmvUbD8ETCjpIy8gaSh0/fad9WuZeR+eTvRYAnxfU8ndcxtDY68hSt3seu7+6jYMR+nryvdj3kYb3LjZw6HAtvJ/vD0Ou/1PP4FfKkHNdh+7fPj8cRVENPrj/Q4aipmNEz2R2fVGb3dc1SxIc39885b+BsC2z4BwIyC4b6M/mffss/7fqpg+SOUrH+JhAHn0eXgXzUpH0B8/3Poesivm/ycwu+foHjt87Xf72v0fs/R/66H3k1839Pqtakq+J4dn1+LGanG4Umk94kv44rtXqdNefZs8hfdha/LGHqM/weG09PkzCIiIiLthWVrXE3TrFe07v5rXFwc3bt3p3v37sTFxdU59sY0Td566y0uueQSq6JIB1KZv5j8r3+DGakmafjVdBlze6NFK0B8n1PoenjjU4GtZpom+V//nsr8b3DGdKPHhKcaLFoBDMNB4qCL6Drud4BJ4fd/p3TzO432HSrfVqdo7Xro7xssWgFcMV3odtTfiOl2BJGqneTOv4Vw5a595ncn9K99Xbz2uQbbBMtKcPsrAEgcOBqA8qyPCVfsqHO/1QxnzdTXquJRGA4g8iLrX767WX1U5H1NyfqXcPl7kTL65/ts7/Sm4Phh1LJ8y3tN+jMEiIbKKd34uuV/Hr7UkSQOvqzmGcESilY/W69NXPpJ+HufSNWuZRSt+ZelzxcRERFpKywrXF966SXeeustTNMkMTGRO+64g88//5yioiJKSkrIyckhJyeHkpISioqK+Pzzz7n99ttJSkqqLV5ffPFFq+JIBxANlZO/6C4wI7gTBpA8/Kom3RfX+wR8XQ9u5XQ1SjNfo2L7PABSR/8cV0zXfd4T3/dUYrofBUDB0vsJlW+r18Y0TfIW/ZposASnN5XUMbfvs1/D4aLLIb/BcHiJVBew89s/7PMef6/jcMWlA1CxfT7Bko312pRkLscwIFzpITatF6ZpUrx2Jr6u4/AmW3em60/F9jiGxCHTGHrlvwiWHwOAy/MBa5+/hWg0us/7TdOsncqcNORyHM59z+gwnF4SB15Qc380SMmGl5uUtSTzdaLhSpIGX9qk9s3h7z2p9nUg57MGz7tOHn4lAMXrXtSGTSIiItIhWVa4/uEPf8AwDKZMmcKmTZu4//77OfbYY0lMrL/mKjExkWOPPZa//e1vbNq0iZNPPhnTNPnjH/e+7k06l5LM/xCpLgQgcdBFGIazyffGZUxprVi1ouEqitfUTA11xnTD3/uEJt+bOPhiAMxINcXrZta7Hsj5lGBRzU6+8f3PwOFu2tRst78H/t416yor8xbVrudtlOEgachlP3xjUrz2hXpNyrNXARCuSqnNFirbTNKw6U3K1FJx6SeQOuomHA4HQ2c8QjhYc46sJ+5L1j57FZFg9V7vr9y95tlwEpdxcpOfmzDoAowfRvVLN75JJFi61/bRSBWlG14lLv1EXHuZKt1S7h9+sQAQDRYTDZXVa+NJHIgnaQhEQ5RufN3yDCIiIiJ2s6RwXblyJZs3b2bw4MG8+eabJCUlNfnepKQk3nrrLQYNGsSmTZtYuXKlFZGkAyjd+Ebta3+vic26N67PFHqf/F9i0pqyg2vLBHLm1u6o6+/VvB2yY9IOxeGOB6B8ywdEw1V1rpdu/G/t690b/DRV7B7t9+ynMfF9TsXpqznmpjx7NqFATp3rwcKaUVjD0QOA4rUv4EkaWrsBk5XKtrzHptfHUZlffw3s4EvuAeelmFHwJa1g3fOXE65o/Gibsq0fAOBNHt7oFOuGOD2JJPQ7EwAzHKA087W9Z970NpHqQhKHtGzzqH0xHHV/YWNGQw22i+l2GADlP2z+JCIiItKRWFK4LllSs6HJtdde26INlnw+H9ddd12dvqRzC5VlEanMA8AV2wOnN6lZ9zucPjwJfWt3cm0NlbmLal97kxrfCKkhhuHEkzgQqJmSWlWwvPZaNFJF9a4fvt+jXVN5k4b8mDH/u31ncXpIHHRRzTdmhOK1s+pcj1RnA+CO60tF7iKCRWv2ualUa+l/9s9xJ95ENGzgS9nI+hcvprqooF4704xSmfcNAJ6k5v35ASQOuRR+OF6mZMO/iYYrG2xnRsOUrH+JmO5Ht2g36qYIV+6sfW04vI3+u+BJrHl+pKqA6uINrZJFRERExC6WFK55eXkYhsHIkSNb3MeoUaNqNrrJz7cikrRz1T9MkwVwx2fYmKRx1UVra1+3JOOe9wT3+LzBkkzMaBAAl79ns8/ndPl7gVFzRHOkMo9wVf3C7qdqzgndPQJcd1Miw1VTOMV0H0Lx2udwx2Xg7318szL9VKS6uMGvaLhin/dmTJ5GbO/fEgk68aVsZ9N/L6Yir+464XD5NqLBEgDccc3/e+OKSSP+h+nm0WAJpZvebLBdedZHhCtySR7Wekd67S7AAWK6HdrolPk9/3mqLtTMFREREelYXJZ04qrpJhwOt7iP3fc6HJYtu5V2LFJdVPva4TqwZ8Y21e71t0CzpqI2dE+kuvjH11VFDbZpKsMwcLj9tYVbtLoIfKn7yOInYcC5FK99vnZTotRRtxAJVuPx16ypjOkaS/HqJXQ55Le156C21NZ3m74euCE9jz2D/O8SKV51F96kArLev4xek54ivm/NaHNw93m+gNOb3KJnJA69nLIt7wNRSta/TOLA8+v8EsE0oxSvnYk3dTS+LmP25+M0KhIspXjN7t2eHSQNu6LRtk5vSu3rUFlWq+QRERERsYslhWu3bt0wTZPFixdz0kkntaiPb775BsMw6N69+74bS4cXDQdqXxtN2A02Gq7EjDS8WU9zpxk3VTT04/pKw+lr9v173hMNBfZ4/WO/TdkJt/G+S+r1vTeJgy6iZMMrmJFqSje+SdLQGZRkrsdwmkSCLqoLP8Hp60p831NalGlP3cc/0eD7lXmLKFnXtN3F0w6ZiDv2CfIX3YwnoYzt866i62EPkzJ8XO00c6D2eJvm8sT3JbbXBCpyPiNSmU/Zlg9I6H9m7fWaTaq20O3oh1vU/56i4Yo6v7yIhiuoLlhB0ap/Eq7YDjjocvAv8aWOarQPpyeh9nW4Mne/M4mIiIi0JZYUrkceeSQATzzxBNdddx3Jyc0b4SgoKOAf//gHAEcddZQVkaSd23OUtbGCdE+FKx5rdDfV/ufV3+jHCg53XO2ophmp2kfr+va8x+H5cWR1z1HWaBM++777jm/SPU5fCvF9T6d04+u1mxKVb/1hNkVVHJW5X5Iy6ufNnrrckNhuhzf4fqSyeUsFkoeNxRX7LNv+dy3ehFJ2Lb6ZcOBePAk/Tjnen7zJQ2dQkfMZAMXrZhLf77TaqbrFa17AkziQ2B7HtLj/3QqW/o2CpX+rf8Fw4ks7lJQR1+xzVNdweGpfm42syRURERFprywpXPv168fo0aNZsWIFkyZN4rXXXmPQoKZtVLJhwwbOO+888vLyGDNmDH379rUikrRze07v3HMEsjEJgy4gdo+dhwuXP0KwpHU3qHF6k3+cjtvEUc097XnPnp93z9dmC/o1TbPOWtHmTJVNHHJZzXpOM0LJhn9TXXoIbh+4fFEc7gQSBpzd7DytLb7PYPqc9iJb3r4SX/IuStbfhTf56NrrhqPl/5nzpgwnJu0wKvO/IVyeTWDbXOLST6Ii9yuCxWvpeti9zdpNujGJQy4jZo9dmg3DgcPlxx2f0fTp4nt8zpb+wkNERESkrbKkcAW47777OPXUU1m+fDkjRozgjDPO4NRTT2XUqFFkZGQQF1fzw1d5eTlZWVmsWLGC999/n3feeYdwOIxhGPzpT3+yKo60c97kYbWvg2Vb9tneE98XT3zf2u+LmzjKuD+8ycMI/ZAtVJ6Fr8voZt2/5zpEb/Lw2teexIE1O9pGQ4QC2zGj4WYVX+GK7fDDkSk1OzI3vXB1+3sSl34S5Vkf1RTl0ZpNfhzuMhIGXoHjh/NNW0t839OI73tas++LTevFgAteYeO/Z+BLySFY9gW7l8ub0ZavvQdIHDqNyvyaDZKK17xAXPpJFK95HldsT+LST9yvvnfzJPRvdBS6yfb4nC2dYi4iIiLSVlm2E9LUqVO56aabME2TSCTCm2++yRVXXMG4ceNIS0sjNjaW2NhY0tLSGDduHFdccQVvvvlm7aZMN998M1OmTLEqjrRz7vgMXLE1650jlfl1drltK2L2KDT23GG4KUwzUjsibDhj6hS9DpcPX+oP35thgiWZzeo7WLRuj4zNP2s1aeg0oGYU0eWr2VHYMJwkDrqw2X0dSN7EFAZf/ipVhYPYc4+3xs49barYbofX/mIhWLKewu+foGrXUhKHXLZfo7lW2/NzGq14DJSIiIiIHSzdwveRRx7htttuA2qmK+7+a0Nfu68ZhsHtt9/OQw89ZGUU6QDi+59T+zqwbY6NSWpUF6+jquD72u/9vSfV7uQayJlX+891U1TmLyYaqtmtN77/mfXWYSYMPLf2deCHNZZN9WN7g4QB5+y1bUP2XLdpOGo+k7fLhBbvznsguWJiGXrlLELl/Wrf2z7veaLR6H71mzh0Wu3r4rXP4/SmEN/v9P3q02qRH6atA7hiutmYRERERMR6lhauhmHwwAMPMGfOHMaPH7/XH+RN02TixInMnTuXv/3tb5asE5OOJXHgebWFYcmGfxNtwQZIVipY9iD5i+6q/d7hiqk9niRSmUcgZ26T+yrd8CoAhsv/wwhnXf5ek/AkDQWgbPPbTTrfFCBckUsg59OaPnpPwps8tMmZ9pQ0dHrta9OELmOvb1E/+6M862NyF/ycSFXhvhvvweFy0/fs+2u/d7pXsP6FW4hGWj5l2N/rONzxfWq/Txh0YZubjrvn8Uxt9exjERERkZZqlXluxx9/PMcffzxZWVl88cUXrFu3joKCAgBSU1MZMmQI48ePJyNDP1xJ4xzuONKO+DM7vriBcCCHgmUP0/WQX9sdq46EgRdQmb+Yiu3zKFz+CL4uY3D5uuz1nrKtH1GxYwFgkHbYPQ22NwyDbkf+hZy504hUFdR89nG/2Wu/ZjTMzu/+jBmpxhWXTpdD7tpr+73xdRmN4eqNGd5GNOTGm9Rn3zdZLFi2lYodC4hGqnA2815PQh8cnsTazbM88QtZ++xVDJn+NE5P8wtOw3CQOORydi2+F8PlJ2HAec3uo7WFyrJrX3tTDrIxiYiIiIj1WnWBVkZGBpdeemlrPkI6uJi0caQd/id2fvMHyja9gRmpInX0rY2ezRoK7KB47fNU7Vp+QPIZhkHa4X8k98vbqcr/lh3zriPt8HsbHOk0zSilG1+nYNnDYDjpMvYX+PfYCfmn3HG96X70g+R+eTtlm98CIHX0LQ3uMhuuKmDXd/dRmfsVLn8vuh/zSJ1zPVsiXDkGp3sboUDf/erHDobhICbtsJop5kZXzMgufMkrWff8pQy69Dnc/uZv3pXQ7wzi+5wChlF7JE5bsnvNtNObiiexabu6i4iIiLQXbWdnEZFGxKWfiDuuN7uW/o3yrR8QyJlHbPej8KYMw+lJIhqpJlyxg+qCFT8UrCYYLvzpJ5E0dEadvoIlG6nI/QqAcEVe7fvF617cZ4492+/J4Yqlx7GPU7TqaUo2vELO/y7H1/VgYtLG4YzpghkJEi7fRmD754QDObjj+9Dl4DuJSTt0n8/0dRlDr0kz2fndfZRtfotAzqfE9hyPJ3EgTnc8kWAJ1YWrqdixADNShT/9RLqM/VWjhX1F3iIiVYVEq4t/+PPIpGzrh0DNdFjHHpv6hAJZOJPA6as7MyJcVUBl3tc1rwM5P/adMw+HNwl3XG98qaNq+i/bSsX2L+r9+TXlz7u6YMU+2+xNXJ8pP6yNLsSddC3BwqfxpWxmw0sXM+D85/EmdyFUvo2qH54TqSokGq6s/fPwJA7Cm1S3AGxsM6ZAzjyi4QpCpZtr39vzzza+z9Ta93e/V7XH56sqWAE/FMMNPbcpKvO+qf3cWnohIiIiHY1hNmdHmVY0ffp05s+fz8aNG+2OIg0IBAJ1jjTy+/225KjM/5bA9i+o2vkdkcpdRIKlGA43DnccLn8PPIkD8XUZi7/nsQ2OTJZteY+d397T4ue7YnuQccp7jV4PV+6ifOsHVOZ9TbBsS02B6HDj8qXiTRlBbM8J+Hsf16IRu8qdSwlsm0vVziWEK/OIhgI4PQm4YrvjSzuUuIzJ+yx4ts/7GVU7lzR4LX3qu7j9PWu/X/3PqfiS83HGXkufU676MUf+YnZ8fm2jz4jrcypph/0BgPJt/yN/4Z3N+JT7ztVUphll28fnEirPosshvyGw3U35lj/h9IapLk4m49R/Ea1e0eg/D0nDryZlxDVNelbWB6cRrtjR6PX+5y2ufb3p9XF77as5z90tWLqJbZ+cD4aL9Clv4Pb3atb9IiIiIm1dmylcp0yZwuzZs4lEInZHkQa0lcJVDoxoNMrGV47C6Q2TOPTvpI5s/rE6bUFF7kJy59+EKy6d3if9m4IV31C04k5csdUEy+LoOfEfJPQfvu+O2ri8Rb8mkD2HpKEzSBl5g91xRERERCxn6a7CItIxVOzYitMbxoxC4sBRdsdpsdjuR5Iw6CLC5dkUrniUrmOPpeuR/yBYHosnvpwdX/yMgpXf2B1zv5RnzyGQPQdv6iiShl+17xtERERE2qEmF67Lli1j4sSJjB8/nm++qf+DntPp3K+v2bNnW/rBRKTlSjfWbG4VKo/HFRNrc5r9kzr6VuL7nUFp5n8oWPEYSYNG0vuE56guScTtr6Jg6S3kfd0+//tTnv0/dn7zB7zJw+l+9ENt7ogeEREREas0eXOm888/n40bN2KaJpdccgkbNmyoc92KGcfaUESkbajIXYfDgGh470f7tAeG4aDruN/hTR5O4fdPEJcxmbj0wfQ782U2vTkDX/JOSjf+jnBFCb2Oa3vH3OzNriV/Ib7/maSOugXD6bE7joiIiEirafKIayAQqH1dUVHRYBsVniIdQ6h0EwAOT2+bk1gnYcA5pE99u3ajJ1+X7gy86N9UFabjdEeozLufre8/Y3PK5ul1wiy6jP2FilYRERHp8Jo84vrMM89wzTXXEI1GeeqppxpsM378eF544YUWBZk2bRrz589v0b0iYi0zUrNDrjd5gM1JrPXTs2098YkMmf4K6164Cl/KOsIVT7Px9WIGnPcLmxI2T0t2WxYRERFpj5pcuE6dOpXs7Oy9tomJiaFPnz4tChITE7PvRiJyQDh9BQD4e7f/HXf3xemNYeiVL7DuhRvxJn4HvMa6FwsZdMl9OBzav05ERESkLWgzP5W1kVN5RDq9qoI83LHVACQOGmNvmAPE4XIz5IonCVUeD4DbN4d1z99ENBK2OZmIiIiIgIWF6+bNm1s8TRhg1qxZbNq0yao4ItJCxRuWARAKxOBNTLE3zAHkcDgYcvn9RKNnA+BN+Jq1z15BJFhtczIRERERsaxw7dOnD2lpac26p6SkhGXLllFZWUlaWlqLpxmLiHUqtq8BIFLd/ncUbomBF9yF4b0SM2rgS17NuucvJlheancsERERkU7NssJ11qxZzJ07t1n3LFq0iEMOOYSkpCSmT59Oaal+OBSxW7C4ZuaD4eq8G//0O/06vKm3EQ078KVsJfOVi6gqzLc7loiIiEinZVnhOn36dB588MFm32eaJqFQiBdffJELLrjAqjgi0kLR0DYAPIn9bE5ir94nXERc33uIVLvwJeex+Y2LCeRstTuWiIiISKdk6+ZMJ598Mvn5+bz++uukpaUxe/Zsli9fbmckkU7P4dkFQGyPoTYnsV/3I6eQPPJBQhVevEnFZH9yOSWZK+2OJSIiItLp2L6rcJcuXTjnnHO49957MU2TRYsW2R1JpNMKlpXg9lcAkDhorM1p2oYuo4+m29FPESzz44kPkPvlNexa8ZXdsUREREQ6FdsL190GDBgAQGFhoc1JRDqvkszlGAaEKz3EpvWyO06bkTRwJL1PfoHqkiTcsdUULr+d3IUf2x1LREREpNNoM4Xr/PnzMQwDn89ndxSRTqs8exUA4arOcwxOU8X16ke/s16mqigNly9E+ebfs+1//7Y7loiIiEin4GruDX/84x8bvZaZmbnX6z8VjUYpLy9nzZo1zJkzB4DBgwc3N5KIWCRYuBG3HwxHD7ujtEm+1G4MvPjfZL48HV9KFtW7HmTLeyX0Pe0au6OJiIiIdGiGaZpmc25wOBwYhlHvfdM0G3y/qUzTJDU1lezsbI26tkGBQIC4uDgAysvL8fv9NieS1rD66QvwpWwkGjmLgRf+xu44bVYkWM26F67Cl1xz5m00eg4DL/i1zalEREREOq4WTRU2TbPeV2PvN/UrMTGRV155RUWriI0M104AYroPsTlJ2+b0eBl65fNUlxwKgMPxButm/YpoNGpzMhEREZGOqdkjrjNmzGjw/ZkzZ9KrVy9OOOGEJvflcrlITk5m5MiRnH766SQmJjYnihxAGnHt+CLBara8eQyG06TrYa8Q30fT9vclGo2y4aW7cMf8D4DqknEMmfF3HM5mr8IQERERkb1oduHaGIfDweTJk/nwww+t6E7aGBWuHV/h6sUUr7qWSNDJgIsW4nC0mb3b2rzM//wVg9cxDKgqGsqQac/g9MbYHUtERESkw9BPpiICQPnW7wEIBZJVtDbTwPN/hTPmasyIgS95LeteuIRgWYndsUREREQ6DMt+On3++ee57bbbrOpORA6wyl0bfnjVzdYc7VXf067Bl/YLoiEHvpQsMl+9iKpduXbHEhEREekQLCtcp02b1qz1rSLStkQqswFw+fvYnKT96nX8+cT1v5dwlRtfcj6b376E8m2b7I4lIiIi0u61mfmA06dPZ8CAAXbHEOm0DCMPgJiu2pRpf3Q/4mRSxzxMKODDm1jCtjnTKd6wwu5YIiIiIu1amylc8/Ly2LJli90xRDqlaCSM218MQFzfkfaG6QBSRx5Bj2OfJlgWhyeugryvrmPXsgV2xxIRERFpt9pM4Soi9infsg6HO0o0bJDQd6jdcTqEhAEjSJ8yk+riZNyx1RStvIMdX75vdywRERGRdqnJheuyZcuYOHEi48eP55tvvql33el07tfX7NmzLf1gItJ0pZt37yiciNPjtTlNx+Hv0Yd+57xMVVF3nN4wgaw/kj3nZbtjiYiIiLQ7TS5czz//fObPn8+CBQu45JJL6l03TXO/v0TEHpX56wAwo2k2J+l4fClpDLrkVaoK++FwRQkWPsLmt/9udywRERGRdqXJhWsgEKh9XVFR0WAbwzD2P5GIHHChwFYAnL50m5N0TG5/PENmvERV0XAMh4kZeoEN//6T3bFERERE2g1XUxs+88wzXHPNNUSjUZ566qkG24wfP54XXnihRUGmTZvG/PnzW3SviOwns+a8UV/qIJuDdFxOj5ehVz7HuhduwZvwNU7n26x7oZhBl9+Pw6HtBkRERET2psmF69SpU8nOzt5rm5iYGPr0adkZkDExMS26T0T2TzQaxRVTBEBcxkE2p+nYHE4XQ2Y8TuYrv8fl/Ri3fx7rnruGIdP/gcPltjueiIiISJvVZn7NrzWuIvao2LEVly+EGYXEgaPsjtPhORwOBl/6J0zjQkwTvIlLWfvs5YQrG16CISIiIiIWFq6bN29u8TRhgFmzZrFp0yar4ohIE5VuXA5AKBCHKybW5jSdx4Bz78Dlv5ZoxMCXsoH1sy4mWFpkdywRERGRNsmywrVPnz6kpbV8R9K0tLQWTzMWkZaryK3ZUTga6mpzks6nzylXEdv9TiJBJ76UbWT++2Iq8rfbHUtERESkzWkzU4VFxB6h0pqZDg5Pb5uTdE49J55DwuD7CFe58SXvZOu7l1KWlWl3LBEREZE25YAXruvWreOqq65i1KhRjB49mksuuYQFCxYc6Bgi8gMzsgMAb/IAm5N0Xt0OPYEuBz9GKODDm1jK9rlXULR2qd2xRERERNoMw7RoV6TMzExOOumk2u/T0tJYtGhRnTafffYZp512GpWVlXVDGAZ/+tOfuPPOO62IIq0gEAgQFxcHQHl5OX6/3+ZEYpV1M4/GHVtNXL/7SRt3vN1xOrXSzWvZ/ul1eBLKCFd6SB75F7qOHW93LBERERHbWTbi+txzz7Fly5bar6ysrDrXS0tLufjii6moqNk50zTN2q9oNMpvfvMbPvnkE6viiEgTVBXk4Y6tBiBx0Bh7wwgJ/YaSfsosqotTcMUEKV79S7bPf9fuWCIiIiK2s6xwffPNNzEMg4MOOojZs2fX2yH4iSeeIC8vD8MwME2TyZMn89hjj3HPPffQq1cvTNPkd7/7nVVxRKQJijcsAyAUiMGbmGJvGAHA3z2d/ue+SlVhD5yeMBXb/kTWJ7PsjiUiIiJiK0umCmdlZdG3b1+SkpLYsGEDqamp9doMHDiQTZs2YRgGV199NU899VTttR07djB8+HBKS0vJzMykX79++xtJLKapwh3TpjcfgchLVBX2Zvg1b9sdR/YQrihn/YtX4EvZhBkFw3M5/c+62e5YIiIiIrawZMR1yZIlANxwww0NFq1Lly6tHYGNjY3l//7v/+pc79GjBzNmzABg8eLFVkQSkSYIFtf8e2m4etmcRH7KFRvHkBkvUlU0EsMBhGex4ZV77I4lIiIiYgtLCtetW7diGAZjx45t8Pq779as0TIMgwsuuIDk5OR6bY488khM0yQnJ8eKSCLSBNHQNgA8iZrl0BY5PV6GXvUswfKja753v8fa528lGo3anExERETkwLKkcA0EAgB06dKlwevvvPNO7etLLrmkwTbdu3cHqN28SURan8OzC4DYHkNtTiKNcTgcDJ3xKOHgKQB44uaz9tmriYZDNicTEREROXAsKVzj4+MByM3NrXdt/fr1LFu2DMMw6Nq1KxMnTmywj2AwCEBMTIwVkURkH4Llpbj9Nb8oShw4xt4wsk+DL7kHnJdgRsGXtJy1z15KuKLc7lgiIiIiB4QlheuAAQMwTZO5c+fWu/b3v/+99vVZZ52FYRgN9rF69WoMw6Bbt25WRBKRfSjZsBzDgHClh9huve2OI03Q/+xbcSfcQDRs4EvZyPoXL6a6pNDuWCIiIiKtzpLC9YgjjsDtdvPSSy/x2Wef1b7/0Ucf8fTTT9d+39g0YYCXX34ZgOHDh1sRSUT2oTx7JQDhKh2D055kTJlBbK/fEAk68aVsZ+N/LqIiX3sDiIiISMdmSeGakpLCueeeS2VlJSeeeCJDhw5lxIgRnHbaaYRCodqNm4455ph694bDYe644w6++eYbEhMTGTVqlBWRRGQfgoUbATCM7jYnkebqOf5MEof8H+FKD76kArLeu5SyLevsjiUiIiLSaiwpXAEeeOABevToQTQaZcOGDaxdu5bdR8S63W6eeOKJOu03bdrE2WefTXp6Og8//DCGYTBlyhQcDssiicheRKqzAXDHa0fh9iht3PF0OfRxQoEYPAllbJ93FYVrvrM7loiIiEirsKxK7NGjBwsWLODEE08EwDRNTNOkV69evPnmmxx++OF12u/cuZO3336bvLy82rZXXHGFVXFEZB8M104AYroPsTmJtFTKsEPoedyzVJcm4PZXsuvbm8hf/KndsUREREQsZ5i7h0UttHPnTjZt2kRsbCwjRoxocBS1rKyMJUuW/BjEMBg/frzVUcQigUCAuLg4AMrLy/H7/TYnkv0RCVaz5c1jMJwmXQ97hfg+g+2OJPuhIj+HLe9cgS+pgEjQib/3nfSccJbdsUREREQs0yqFq3Q8Klw7lsLViyledS2RoJMBFy3UFP0OoLqkkI3/no4vZTvRsIEn6QYypky3O5aIiIiIJfTTqkgnVL61ZkfhUCBZRWsH4U1MYfDl/6aqcAAOl0mo9O9sevNhu2OJiIiIWKLN/MQ6ZcoUXC6X3TFEOoXKXet/eKVzkzsSV0wsQ698iari0RgOIPIy61/+PdFo1O5oIiIiIvulzRSuAJq1LHJgRCprdhR2+fvYnESs5nC5GXrlMwQDNXsGuDwfsn7mrSpeRUREpF2zbIgzKytrv+6vrKy0KImI7Ith5AEQ01WbMnVEDoeDodMfYsOrf8TpehdP3Jes/deVDJn+FE6P1+54IiIiIs3W5M2Z5syZw9VXX000GuUf//gHp556ap3rDocDwzBaHMQ0TQzDIBKJtLgPaT3anKnjiEbCbHrtKBzuKMmjnyV58Gi7I0kr2vTWY5jBWRgOqCrsz+DLnsMVG2d3LBEREZFmafJU4enTp5Odnc22bdu45pprGm23+0zW5nyJdfLz80lOTsYwDAzDYPr06XZHkjamfMs6HO4o0bBBQt+hdseRVtb/rJtxJ91MNOzAl7KJ9S9eRHVRgd2xRERERJqlyYWr3++vLTJjY2MbbNPSIlTFq3Vuv/12iouL7Y4hbVjp5u8BCAUSNG20k8g4+XJie/+WSNCFL2UHm/57EYHcbLtjiYiIiDRZkwvXV155haOPPpojjzySF198scE2kydPJhqNtujr5JNPtuxDdVbz5s3jpZdesjuGtHGVO2t2FDaj2lG4M+l57OkkDb+fcKUHb1Ih2R9cTunmtXbHEhEREWmSJm/ONG7cOObPn9+aWWQ/hEIhrr/+ertjSDsQKt+CMwmcvnS7o8gB1nXseFwxT5C/8BY8CWXs+PwqwhUPkzLiULujiYiIiOxVmzkOR+td98+DDz7ImjVrSE9PZ9y4cXbHkbbMzAXAlzLQ5iBih+ShY+k56TmqSxJx+6vYteRm8r79n92xRERERPbKsuNw9veMwI8//tiiJJ3P1q1buffeewF49NFHefTRR21OJG1VNBrFFVMEQFyfkTanEbvEZwykz+kvsuXtK/El76R0/W8IB4rpNfHcOu2CJRVsm/s9FfklhCuCuGI9xKYl0nvSSDyJDe91ICIiItIaLCtcxT4333wzFRUVTJ06lbPOOkuFqzSqckc2Ll8IMwqJA0fZHUdsFJvWk4EXvkLmqzPwpWyjMvevbP2gmD6nXEXh6m1sfH0hWR8vIxqOYDgdgAGYmJEoS//2LhlTxjLwvCNIHtbb7o8iIiIinUCbKVzfffddtmzZws0332x3lHblvffe491338Xn8/H444/bHUfauJKNSwEIBeJwxWjErLPzJCQz+PJXWP/iVfiS1xMOPMW3f1jBlvdjMZwOzEjNTBozXHdGTTQUYesHS9jy7mL6nXkoB995Jg6X046PICIiIp1Em1nj+uSTT3LrrbfaHaNdqaioqC3077rrLvr3729zImnrKnLXARANdbU5ibQVrphYhl4xk6risRgGpI74iu5HbsaMRPZ63+6idvM73/LlHS8SDe+9vYiIiMj+aDOFqzTfvffey5YtWxg0aBC//OUv7Y4j7UCodDMADo+md8qPHC43gdyT2PFVPwB6jd9I7+PXAzUb5sX3KWD4lQuJ71NQ/2YTcr9cy5K/vH3gAouIiEinY9lU4T/+8Y/7dX9mZqZFSTqHNWvW8OCDDwLwxBNP4PV6bU4k7YEZ2Q6AN3mAzUmkLSlas40t73wHDCBc6SZ90nq6HZqNKybElo+G0WtCJjFdAvSakMnaWSnUrHfdgwmb3/6WAeccrjWvIiIi0iosK1z/8Ic/YBjGvhs2wjTN/bq/s7n++usJhUKcf/75nHjiiZb2HQgEmvSetD9OX82Imb/XMJuTSFuS+Z+FtWta8xdnEK5003fqalIPysWbUoG/RxkA/h5lJPQrpHRzar0+DKeDzNcXcejvz613TURERGR/WT5VePd5rE352rO9NN1LL73EvHnziI+P5+GHH7a8/7i4uHpf3bp1s/w5cmBVFebjjq0GIHHwWJvTSFsRLKkg6+NltWtWAQpX9WDjm6OIhgziepay+z/RZhR6HpvJ7inEezIjUbI+WkqwtOIAJRcREZHOxNJdhXv27MkJJ5yw1zbV1dUUFRWxevVqsrOzcTgcnHbaaSQlJVkZpcMqKSnhjjvuAOCee+6hZ8+eNieS9qJkwzIAQoEYvIkp9oaRNmPb3O8b3FipZGNXcuYPIP34THZPhjEcex91jYYjbJu7kv5nHdbasUVERKSTsbRwHTlyJM8//3yT269YsYK7776bRYsW8eyzzzJ16lQr43RId911F3l5eYwaNYqbbrqpVZ5RXl5e771AIKBR13YukLMagEh1/YJDOq+K/JKaacI/OfIGTFKG5WFGawrW2nd/GHUt3Vx/ravhdFCZX9LqmUVERKTzsXVX4VGjRvHWW29x9tlnc/bZZ/PZZ5/ZGafNW7x4MU899RSGYfDkk0/icrXOMbx+v7/BL2nfgsWbADBcGqWXH4UrgtTbbAlI6FeIv0dZnaIV6o661mcQClS3Sk4RERHp3CwrXF999VXuvPPOFt17//3343K5uOaaa7TetRHRaJTrrruOaDTKjBkzOOqoo+yOJO1MNJQDgCdR5/3Kj1yxHuqvWTXpeWwm5k8HYXdfbXStq4nbrx3ORURExHqWFa4XXHAB48ePb9G9fr+fMWPGsHHjRj799FOrInUoTz75JIsXLyYlJYW//vWvdseRdsjh2QlAbI+hNieRtiQ2LbHOxkzQ+Gjrbo2NupqRKDFpia0VVURERDqx1plr2gJutxuAtWvXMmnSJJvTtD2PPPIIADExMVx66aV7bbtixYra13PmzGHy5Ml1rt9+++2WH6EjbVuwvBS3v2a318SBY+wNI21K70kjWfq3d4mGdm/Q9ONoa2OFKzS81tXhctJ70kGtnllEREQ6nzZRuEajUVatWgVARYWOUmhIKBQCICcnh5ycnCbft337drZv317nvQsvvNDSbNL2lWxYjmFAuNJDbLfedseRNsSTGEvG5DFs/XApZiRaO9q6Lz/dYdhwOsiYMhZPQuwBSC0iIiKdja2bM+325z//mV27dgHQq1cvm9O0TVu2bGny+bgTJkyovW/atGn1rk+fPt2+DyK2CGyr2VE4XKVjcKS+gecf+cN04b2vbf2pPde6mpEoA887ojVjioiISCdm2YjrF1980eS21dXVFBYWsm7dOj788EO+/fZbABwOBxMnTrQqkoj8oLpgA24/GEZ3u6NIG5Q8rDf9zjyULe9/jSeheq9ThPdkOMATX43hMul76mEkD9NovoiIiLQOywrXiRMnYhj1j1RoCtM0MQyDK664gp49dVSHiNUi1dm4/eCK72t3FGmjDr7zTCp3lbFmVhBXTLDRdobDZOA5y3D7Q2z/si+7lvem2xHDOfjOMw9cWBEREel0LF/j2tLjbC666CL+/ve/W5xGRAAM5w87CnfXjsLSMIfLydEPXMaSv8Sz+e1vMZyOersN75b7dV/Sj99AyrB8vKnnc8ivz8Hhch7gxCIiItKZWFq4+nw+0tLS9tnO6XTi9/vp2bMnBx98MOeeey5jx461MoqI/CASrMYTV7PZTkK/UTankbbM4XIy7rfnMOCcw8l8fRFZHy0lGo5gOB3U7Bxcs5a1cFUGPY7ajC+lAn96mYpWERERaXWG2dIh0p9wOBxMnjyZDz/80IrupBmmTZtGXl5e7ffffPMNRUVFAPTs2ZORI0fWXjvxxBO5/fbbm/2MQCBAXFwcAOXl5fj9/v1MLQdK4erFFK+6lkjQyYCLFuJwtIk92aQdCJZUsO3TlVTmlxAKVOP2e4lJS6T3pIPY/PYfcMd8SnVxCkOu/Fj/XImIiEirahPH4cj++fzzz9m6dWuD1356HE737tqcp7Mp37oSgFAgWcWFNIsnMZb+Zx3W4LX0yT8n53+f400qZMfnb9DruPMOcDoRERHpTCwrXE8//XTGjRtnVXfSDFu2bLE7grRhVbs24PIBdLM7inQgsWk9CVeOw+n+mpL1s1S4ioiISKuyrHB9++23repKRCwUrszC5QOXv4/dUaSD6X3ireR9dRG+lB3kfT2bboefZHckERER6aAsmzc4a9Ys5s6da1V3dcydO5dZs2a1St8iHZ1h1Kx/9nUZZHMS6WjiMwYSLKtZQ1+w7Bmb04iIiEhHZlnhOn36dB588EGruqvjgQceYMaMGa3St0hHFo2EcfuLAYjXjsLSCnoccxOmCb6UzRR8v8juOCIiItJBaacWkQ6sfMs6HO4o0bBBQl+d4SrWSx42luqimtH8vIVP2JxGREREOipLdxXOyclplSm9OTk5lvcp0hmUbv4egFAgAafHa3Ma6ai6HnYdZZm34U1cS+nGVSQMGGF3JBEREelgLC1cV65c2SpTek3TxDAMy/sV6egqd67H6QIzqh2FpfV0HTuend+k40vJJuezx0gY8LTdkURERKSDsXSqsGmadb4aeq8p1xpqKyLNFyrfAoDTl25vEOnwkobX/NLS7V9KIKfhc6VFREREWsqyEdfx48djGAbbtm1j48aNNZ27XPTv35+kpCR8Ph8A1dXVFBUVsWnTJkKhEADp6en079+/0b5XrFhBcXGxVVFFOg8zFwBfykCbg0hH1/3oU1n7r6fwJeeTPfthhs54xO5IIiIi0oFYVrjOmzeP1157jWuuuYYpU6Zwyy23cNxxx+F2uxtsHw6HmTdvHo888ghz587l17/+Nddee22DbadMmcLs2bOtiirSKUSjUVwxRQD4M7TmUFqXw+Egvt8lhIofxulZRFVhPr6UNLtjiYiISAdh2VThTz/9lEsvvZS7776bDz74gJNOOqnRohVqRmNPOOEE3n//ff7yl79www038M4771gVR6TTq9yRjcsXwoxC0kAdhSOtr9fxF1BdkojTEybrg0ftjiMiIiIdiGWF67XXXsvJJ5/Mrbfe2ux7b7nlFqZMmcLNN9/c4PUTTzyRyy+/fH8jinQqJRuXAhAKxOGKjbM5jXQGDqcLX9q5Nd+YnxEsL7U3kIiIiHQYlhSuX3/9NZmZmVx88cUt7uPiiy9m27ZtfPnll/Wu3XbbbTz//PP7E1Gk06nIXQdANNTV5iTSmWRMvoJgmR9XTJCsD3Suq4iIiFjDksJ19erVGIZBenrLdy5NT0/HNE3Wrl1rRSSRTi9UuhkAh6eXzUmkM3F6vLjjTwUgUvERkWC1zYlERESkI7CkcM3Pzwdg165dLe5j973704eI/MiMbAfAm6wdheXA6nPKdYQqvLjjKsj68Bm744iIiEgHYEnhmpycjGmavP322y3u46233sIwDJKTk62IJNLpOX0FAPh7DbM5iXQ2rtg4DNckAKp2vUk0ErY5kYiIiLR3lhSuo0ePBuDll1/mjTfeaPb9b7zxBi+//DIAY8aMsSKSSKdWVZiPO7ZmimbiwDH2hpFOqc/UW4hUu/AmlrJtzst2xxEREZF2zpLC9fDDD2fAgAFEo1EuuOACrr/+ejZs2LDP+zZs2MB1113HBRdcAMCgQYM47LDDrIgk0qmVbFgGQCgQgzc51d4w0il5k1OJhI8GoDzrVaLRqM2JREREpD0zTNM0rejok08+YcqUKRiGUftev379GDlyJOnp6fj9fgzDoLy8nOzsbL7//ns2b67ZPMY0TRwOB5988gmTJk2yIo5YLBAIEBdXc6RKeXk5fr/f5kSyN5vefAQiL1FV2Jvh17xtdxzppAK52ez47Bwcrii+tN/Qc8JZdkcSERGRdsplVUcnn3wyjz/+eO1ZrKZpsmnTptri9Kf2rJcNw+CJJ55Q0SpikWDxJjzxYLh62h1FOjF/93RCgUPwJn5L8doXVLiKiIhIi1kyVXi3G264gQ8//JCMjIwm39OvXz/mzJnDNddcY2UUkU4tGsoBwJPQz+Yk0tn1mnQLZsTAl5JD/uJP7Y4jIiIi7ZSlhSvUjLxu2LCB1157jXPOOYeePXtimmadr549e3Luuefy+uuvs27dOo4//nirY4h0ag53zbFSsT21o7DYK6HfUKpLhwOw67unbU4jIiIi7ZVla1z3JhgMUlRUBNQcnePxeFr7kWIxrXFtP4LlpWR/eDyGAd3Hv01st952R5JOrnDVtxSvvg6ApBFPkTJ8nM2JREREpL2xfMS1IR6Ph27dutGtWzcVrSKtrGTDcgwDwpUeFa3SJqSMOJSqwv4A5C74u81pREREpD06IIWriBw4gW2rAQhXpdicRORHXQ6u2cfAm7CKsi3rbE4jIiIi7Y1theuKFSuYN2+eXY8X6bCqC2rOUDaM7jYnEflR2qGTqCrsieE02Tb3UbvjiIiISDtjWeFaXFxMz549SUlJqf0644wzGm2/cOFCJk2axNChQ3nvvfesiiHS6UWqswFwxfe1N4jITyQNnQ6AO2YxFXnb7A0jIiIi7Yplhevzzz9Pbm4uJSUlFBcXU1xcTCQSabS9YRiYpsn69es588wzue+++6yKItKpGc6dAMR2G2JzEpG6uh97JlXFqTjcUbI/esTuOCIiItKOWFa4/uc//6np0OHgxhtv5Pvvv+f9999vtP2VV17JvHnzOOOMMzBNk9///vd7bS8i+xYJVuOJKwMgof9om9OI1OVwOIjrfVHNa9cCqosKbE4kIiIi7YUlhWthYSHffvstDoeD//73vzz22GOMGDFir/c4nU7Gjx/PW2+9xcMPP4xpmvzqV7+yIo5Ip1WS+T2G0yQSdOJPH2h3HJF6ep90KdWlCTi9YbZ++JjdcURERKSdsKRwXbp0KdFolHPPPXev61obc8stt3DCCSewdu1ali9fbkUkkU6pfOtKAEIVSTgc2jRc2h6H04Uv5UwAzPD/CFeU2xtIRERE2gVLfrLdsGEDhmFw+umnt7iPSy65BNM0+e6776yIJNIpVe2q2VEYUzsKS9uVMfVqQuUxuGOr2frBk3bHERERkXbAksK1uLgYgIyMjBb30b9/zeH0O3futCKSSKcUrswCwOXvY3MSkcY5vTE4Y6cAECp7n0iw2uZEIiIi0tZZUrh6vV4AAoFAi/uoqKgAwOPxWBFJpFMyjDwAfF0G2ZxEZO8yTrmRcKUHT3yA7E9esDuOiIiItHGWFK7du3fHNE2++eabFvfx9ddfYxgG3btriqNIS0QjYdz+YgDi+xxkbxiRffDEJWAaEwGozHudaDRqax4RERFp2ywpXI8++mgA/vGPf1BYWNjs+wsKCnjyySfr9CUizVO+dT0Od5Ro2CCh/3C744jsU5+ptxAJOvEmFpMz9992xxEREZE2zJLCNSMjg0MOOYT8/HyOP/54NmzY0OR7MzMzOeGEE8jPz+eQQw7Zr3WyIp1Z6aYVAIQCCTg9XpvTiOybL7UbkeARAJRtfkmjriIiItIoy87LuO+++zBNk++//54RI0Zw3nnnMXPmTJYuXUphYSHV1dUEg0EKCwtZtmwZs2bN4oILLmDEiBG1R+Dcd999VsUR6XQqd64HwIyk2ZxEpOl6n/RzomEHvuR88hZ+aHccERERaaNcVnV00kkncdttt/HQQw8RiUR48803efPNN/d5n2maANx2222ceOKJVsUR6XRC5VtwJoEzRrMWpP2I69WPUGA03sSlFK18jh5Hn2p3JBEREWmDLBtxBXjggQf4xS9+AfxYkJqm2eDX7muGYfCrX/2Kv/3tb1ZGEel8zFwAfCkDbQ4i0jw9Jt6MGQVfShY7l863O46IiIi0QZYWrgB//etf+d///seECRNqC9SGmKbJcccdx2effcb//d//WR1DpFOJRqO4YooA8GeMsDmNSPMkDRxJdclQAHZ++6TNaURERKQtMsy9VZf7KSsri88//5x169bV7jacmprKkCFDmDBhAunp6a31aLFYIBAgLi4OgPLycvx+v82JZE+BnK3kfXUOZhT6nDYPV2yc3ZFEmmXXiq8oXXczpgkpo54heehYuyOJiIhIG2LZGteGZGRkcNlll7XmI0QEKNm0DIBQIE5Fq7RLXUYdRf7CPvhStrJj/uMkD33O7kgiIiLShlg+VVhEDryKHWsBiIa62pxEpOVSRl0NgCf+e8qyMm1OIyIiIm1JmylcH3roIa644gq7Y4i0S6HSzQA4PL1sTiLSct2PnExVUXccTpNt/3vE7jgiIiLShrSZwnXOnDnMnDnT7hgi7ZIZ2Q6AN1k7Ckv7ljjwcgBc3m+pyN9ucxoRERFpK9pM4SoiLef0FQDg7zXM5iQi+6fHxHOpLk7B6YmQ/fGjdscRERGRNqJVNmf65JNPePfdd1m+fDkFBQVUV1fv857c3NzWiCLS4VUV5uOOrfl3LHHgGHvDiOwnh8NBbM/ziVQ8hWF8QbC0CE9Cst2xRERExGaWFq47duzgvPPOY+HChbXv7T5txzCMeu1/ehJPQ21EZO9KNiwDIBTw4U1OtTeMiAXST57G+pkv40koY+sHf2fQRb+zO5KIiIjYzLKpwqWlpRx77LEsXLgQ0zRrv6CmIN3zvT2v7b4uIi0TyFkDQKS6i81JRKzhcLnxJJ8OQLT6E8KVFTYnEhEREbtZNuL6m9/8hk2bNuFyubjyyiuZPHkySUlJ/PKXv2Tx4sV89tlnddpXVVWxYcMGZs6cyXfffcc111zDhRdeaFUckU4jWLwRTzwYrp52RxGxTMaUa9j42hu4/VVkffQ0/c++1e5IIiIiYiNLCteKigqef/55HA4Hb731FqecckrttZSUFAAmTJhQ776TTz6ZG2+8kd/97nfcf//9XHbZZVbEEelUoqEcADwJ/WxOImIdV0wsDu/JwDsEi94lGr4Rh8ttdywRERGxiSVThb/++msqKio488wz6xStTXXvvfcyYcIEbrrpJiviiHQqDvcuAGJ7akdh6Vj6nHIj4So3noQysj/RcWkiIiKdmSWF67p16zAMg9NPP73FfUybNo1ly5axevVqKyKJdArB8lLccQFAOwpLx+NJSMY0xwNQsf01otGozYlERETELpYUrkVFRQD07du3/gMcNY/Y1w8cffr0wTRNvvnmGysiiXQKJRuWYxgQrvQQ26233XFELJc++RYiQSfepCJ2zPuv3XFERETEJpYUrm53zbqjhs5rjYuLAyAvL2+vfRQWFgKQn59vRSSRTiGwrWaGQrhK51xKxxSb1pNw9aEAlGTOsjmNiIiI2MWSwrV79+6YpsmmTZvqXevatStAvV2Ff+qDDz7AMAxcLkuPlhXp0KoLMwEwjB42JxFpPb1P+DnRiIEvOZfcRZ/YHUdERERsYEnhetBBBwEwa1b934aPHj0a0zT54x//SGlpaYP3f/bZZ7zwwgtAzZRhEWmaSFUWAK74vvYGEWlF8RkDCZaNBKBw+TM2pxERERE7WFK4jho1iuTkZBYtWsSvfvWrOutZTznlFBwOBxs2bGDs2LE8/fTTLF++nE2bNjF//nxuu+02pkyZQigUwuVyMX78eCsiiXQKhnMnALHdhticRKR19Tj2JkwTfClbKPh+kd1xRERE5ACzpHB1OBxMnToV0zR54IEHSE9PZ/ny5QD07NmT888/H9M02bJlC9dffz0HH3wwgwYNYuLEiTz66KMEg0EMw+Diiy+unVosInsXCVbjiSsDIKH/aJvTiLSu5KFjqS4aBEDewidsTiMiIiIHmiWFK8CVV16J1+vF4/FQWFjIrl27aq898sgj9O3bF9M0ATBNs/Zrt6FDh/LII49YFUekwyvJ/B7DaRIJOvGnD7Q7jkir63rY9QB4E9dQkrnS5jQiIiJyIFlWuE6cOJHKysrar0mTJtVeS0tLY8GCBZxxxhn17nM6nUyfPp0FCxaQmJhoVRyRDq98a80P7qGKpNpjp0Q6sq5jj6WqMB3DAdvnPWZ3HBERETmADtgWvj179uStt94iNzeXJUuWUFJSQpcuXTjssMNUsIq0QNWuDbh8gNnN7igiB0zyiCup3PEH3P5lBHK24u+lDf1EREQ6gwN+9kz37t2ZOnXqgX6sSIcTrszC5QOXv6/dUUQOmG5HTWXtv/6BLzmf7NkPM3TGI3ZHEhERkQNA8wtF2inDyAPA12WQzUlEDhyHw0F8v0sAcHoWUVWYb3MiERERORAOSOH6zjvvMGvWrAbPeRWR5otGwrj9xQDE9znI3jAiB1iv4y+guiQRpydM1geP2h1HREREDoADMlX4zjvvZP369QBcfvnlB+KRIh1a+db1ONxRomGDhP7D7Y4jckA5nC58aediVj8L5mcEy0vxxCXYHUtERERa0QGbKrzn0Tcisn9KN60AIBRIwOnx2pxG5MDLmHwFwTI/rpggWR/oXFcREZGOTmtcRdqhyp01MxjMSJrNSUTs4fR4ccefCkCk4iMiwWqbE4mIiEhrUuEq0g6FyrcA4IxJtzeIiI36nHIdoQov7rgKsj58xu44IiIi0opUuIq0R2YuAL4U7SgsnZcrNg7DNQmAql1vEo2EbU4kIiIirUWFq0g7E41GccUUAeDPGGFzGhF79Zl6C5FqF97EUrbNednuOCIiItJKVLiKtDOVO7Jx+UKYUUgaOMruOCK28ianEgkfDUB51qtEo1GbE4mIiEhrUOEq0s6UbFoGQCgQhys2zt4wIm1A+uSfEw078CXvInf+O3bHERERkVZwQM5xnTVrFhUVFQfiUSIdXsWOtTgMiIa62h1FpE3wd08nFDgEb+K3FK99gZ4TzrI7koiIiFjsgBSuhx566IF4jEinECrdjDcRHJ5edkcRaTN6TbqFnV9fhi8lh/zFn5I27ni7I4mIiIiFNFVYpJ0xI9sB8Cb1tzmJSNuR0G8o1aXDAdj13dM2pxERERGrteqIa3V1NYsWLWL9+vUUFBQAkJqayuDBgzniiCPwer2t+XiRDsnpLQTA31s7CovsqfvRN1K8+jp8KRspXPUtKSM020dERKSjaJXCdc2aNfzlL3/hP//5D8FgsME2Ho+HCy+8kF/96lcMHTq0NWKIdDhVhfm4/VUAJA4cY28YkTYmZcSh5C7ojy9lE7lf/p2UETPtjiQiIiIWsXyq8GOPPcbBBx/MSy+9RHV1NaZp1mtjmibV1dXMmjWLsWPH8ve//93qGCIdUsmGZQCEAj68yan2hhFpg7ocfA0A3oTVlG5ea3MaERERsYqlhetf//pXbr31VoLBYJ2C1TTNOl97vl9dXc0tt9zC/fffb2UUkQ4pkLMGgEi1ilaRhqQdOomqwp4YTpOcuY/aHUdEREQsYtlU4S+//JK77roLqClIx40bx2mnncaoUaPIyMggLq7mvMny8nKysrJYsWIF7733HosXL8Y0Te666y6OPfZYjjzySKsiiXQ4weKNeOLBcGlHYZHGJA2dTlX+n3H7vyOQm42/e7rdkURERGQ/GWZDc3lbYPz48SxYsID09HRmzpzJxIkTm3TfvHnzmDZtGtnZ2Rx77LF8/vnnVsQRiwUCgTq/fPD7/TYn6pxWP30OvpStmFzAgPN+YXcckTYpGo2y9tkp+JIKCAYmMHT6g3ZHEhERkf1kyVTh7du3s2DBApKTk1mwYEGTi1aAiRMnMn/+fJKSkliwYAHbt2+3IpJIh+Rw7wIgtscwm5OItF0Oh4O49IsBcLq+pLqowOZEIiIisr8sKVwXLFgAwHXXXUd6evOnZGVkZHDdddcBMH/+fCsiiXQ4wfJS3HEBABIHjbE3jEgb1/vES6guScDpDbP1Q611FRERae8sKVx37NiBYRgcffTRLe7j2GOPxTRNduzYYUUkkQ6nZMNyDAPClR5iu/W2O45Im+ZwuvB1ORsAMzyXUKDM5kQiIiKyPywpXKurqwGIjY1tcR8+nw+g0XNfRTq7wLbVAISrkm1OItI+ZEy9mlB5LO7YarI+fMruOCIiIrIfLClcu3btimmarF3b8jPz1q5di2EYdO3a1YpIIh1OdWFmzQujh71BRNoJp8eLM3YKAKGy94kEq21OJCIiIi1lSeE6atQoAJ555hmi0Wiz749EIvzzn/+s05eI1BWpygLAHd/X3iAi7UjGKTcQrvTgiQ+Q9fFzdscRERGRFrKkcD3kkEPo0aMHS5cu5aqrriIcDjf53nA4zJVXXsmyZcvo0aMHhxxyiBWRRDocw7kTgNhuQ2xOItJ+eOISwDgOgKr8/xKNNP3/TyIiItJ2WFK4AvzqV7/CNE1mzpzJsGHD+Mc//sHWrVsbbb9161aeeOIJhg0bxosvvohhGNx5551WxRHpUCLBajxxNZvLJPTTrASR5sg45RYiQRfexBJyPn3N7jgiIiLSAoZpmqYVHYXDYSZNmsT8+fMxDKP2/fj4eNLT04mLiwOgvLyc7Oxsyspqfgjf/fjx48czd+5cnE6nFXHEYoFAoM7fQ7/fb3OizqVwzXcUr7yGSNDJgIsW4nBY9jsnkU5h7fM/xxO3gKqiNIZe9b7+HRIREWlnLPs/t8vl4p133uHwww+vLUZN06S0tJRVq1bxzTff8M0337Bq1SpKS0sxTbO23RFHHME777yjolWkEeVbvgcgVJGkH7hFWiD9pFuJhh34kvPJ++pDu+OIiIhIM1n6E3BSUhILFizgd7/7HfHx8XWu7Vmo7paQkMDdd9/N/PnzSUxMtDKKSIdStWtDzQuzm71BRNopf68+hAJjACha9ay9YURERKTZLJsq/FNlZWW89dZbfPHFF6xbt46CggIAUlNTGTJkCOPHj+ess86qV+BK26SpwvZa/c/L8CWvIVw9hcGX3mt3HJF2qSRzJbu+m47hgPiBD9F17Hi7I4mIiEgTuVqr4/j4eC6//HIuv/zy1nqESKdhGHkA+LoOtjmJSPuVOPAgcj4dhi95DTu/eVKFq4iISDuixXIibVw0EsbtLwYgvs9B9oYRaee6HXkDAN7kDRStXWpzGhEREWkqFa4ibVz51vU43FGiYYOE/sPtjiPSrqWOPIKqwr4YBuyY/7jdcURERKSJLJ0qvHbtWoLBYO33cXFx9O/fv8G2H330EV9//TUzZsygT58+VsYQ6VBKN/+wo3AgAafHa3MakfYvZfTVVGT/Bk/895RlZRKfMdDuSCIiIrIPlo24btq0iREjRjB27Njar6uuuqrR9llZWfzxj39k0KBB3HHHHYRCIauiiHQolfnrADAjaTYnEekYuh9xMlVF3XE4Tbb97xG744iIiEgTWFa4Pv3007VH3pimSdeuXTniiCMabZ+WlkZsbCzhcJiHH36Ys846i2g0alUckQ4jVL4FAGdMur1BRDqQxIE1Gwe6vN9Skb/d5jQiIiKyL5YVrm+99RaGYdCjRw/++9//sn37dv785z832v6ss85i586dPPzww/j9fj766CMefPBBq+KIdBxmLgDeFE1nFLFKj4nnUl2cgtMTIfvjR+2OIyIiIvtgSeGalZVFZmYmfr+fL774grPPPhuHY99dx8TEcMstt/DRRx/hdDp54IEHNGVYZA/RaBRXTBEAcRnaUVjEKg6Hg9ie5wNgGF8QLC2yOZGIiIjsjSWF69KlNUcKXHnllQwYMKDZ9x999NFcfvnl7Nq1i4ULF1oRSaRDqNyRjcsXwoxC0sBRdscR6VDST55GsDQely/E1g/+bnccERER2QtLCtfs7GwMw2DixIkt7mPq1KmYpsnKlSutiCTSIZRsWgZAKBCHKzbO3jAiHYzD5caTfDoA0epPCFdW2JxIREREGmNJ4VpWVgZAly5dWtxHWlrNjqklJSVWRBLpECpy1wIQDXW1OYlIx5Qx5RpCAR9ufxVZHz1tdxwRERFphCWFa0JCAgC7du1qcR8FBQUAxMfHWxFJpEMIlWwGwOHpZXMSkY7JFROLw3syAMGid4mGtc+CiIhIW2RJ4dq7d29M02T27Nkt7mP27NkYhkF6uo78ENnNjNQc0+FN6m9zEpGOq88pNxKucuNJKCP7k5l2xxEREZEGWFK4TpgwAafTybPPPst3333X7PuXLFnCs88+i9Pp3K91siIdjdNbCEBs7+E2JxHpuDwJyZjmeAAqtr+mM8VFRETaIEsK16SkJE4//XSCwSDHH388zz33XJP+x2+aJjNnzmTSpEmEQiFOP/10EhMTrYgk0u5VFebj9lcBkDRwrM1pRDq29Mm3EAk68SYVsWPef+2OIyIiIj9hmKZpWtHR+vXrGT16NMFgEKjZbGny5MmMGjWKPn364Pf7MQyD8vJysrKyWLFiBR9//DF5eXmYponP52PZsmUMHjzYijhisUAgQFxcza625eXl+P1+mxN1fHlfzyaQdRehgI8h0xfYHUekw1vz3I144xdRVdSd4T973+44IiIisgeXVR0NHjyYmTNnctFFFwGQl5fHrFmz9nrP7prZMAxmzZqlolVkD4GcNQBEqlNtTiLSOfQ+4efkfXURvuRcchd+TPcjJ9sdSURERH5gyVTh3c4//3zeffddUlJSgB8LU9M063ztea1Lly68//77nHvuuVZGEWn3giWbADBc2lFY5ECIzxhIsGwkAIUrnrE5jYiIiOzJ0sIV4JRTTmHdunXcfffd9O3bl4ZmIpumSb9+/bjnnntYt24dU6ZMsTqGSLsXDW4DwJPQz+YkIp1Hj2NvwjTBl7KVXSu+sjuOiIiI/MCyNa6Nyc7OZt26dRQW1uyOmpqaypAhQ+jdu3drPlYspjWuB97a5ybgiQ8Q0+MP9DjmVLvjiHQaq5++CF/KBqqKhjL8Zy/ZHUdERESwcI1rY9LT03U2q0gzhQJluOMCACQMHG1zGpHOpeth11OWeSvexLUUZ35P0sCRdkcSERHp9CyfKiwi+69kw3IMA8KVHmLStMZV5EDqOvZYqgrTMRywY95jdscRERERVLiKtEnl2asACFcl43DoX1ORAy15xJUAuP3LKM/ZbHMaERER0U/EIm1QdWFmzQujh71BRDqpbkdNpaooDYfLZNvsR+yOIyIi0umpcBVpgyJV2QC44/rYnESkc3I4HMT3uwQAp2cRVQV5NicSERHp3FS4irRBhjMfgNjuQ21OItJ59Tr+AqpLknB6Imz98FG744iIiHRqKlxF2phIsBpPXBkACf1G2ZxGpPNyOF3EdDsPAMOcR7C81OZEIiIinZcKV5E2pmTjSgynSSToxJ8xyO44Ip1a+snTCZb5ccUEyfrg73bHERER6bRUuIq0MeVbVwIQqkjSjsIiNnN6vLjjTwUgUvERkepKmxOJiIh0TvqpWKSNqdq5vuaF2c3eICICQJ9TriNU4cUdV0nWh8/YHUdERKRTUuEq0saEK7MAcMVqR2GRtsAVG4fhOgGAqsK3iUbCNicSERHpfFS4irQxhlFz7Iavq9a3irQVfabeTLjKjTehlG2zX7I7joiISKejwlWkDYlGwrj9xQDE9xlpbxgRqeVNTsWMHA1A+bZXiUajNicSERHpXCwrXPv3788VV1xhVXfSBOvWreOJJ57gkksuYdSoUaSkpOB2u0lISGDgwIGcffbZPPvss5SXl9sdVZqofOt6HO4o0bBBQv/hdscRkT2kT/k50ZADX1IBufPftjuOiIhIp2JZ4bplyxZyc3Ot6k724tVXX+Wggw5i6NCh3Hjjjbzyyivk5OQwbNgwxo8fT+/evdm0aRNvvfUWV111FYMGDeLtt9+2O7Y0Qenm7wEIBRJwerw2pxGRPcV2602ochwAxWtfsDeMiIhIJ6Opwu3QBx98wKpVqwDo3bs377zzDjt37uTLL79k7ty5rF69mq1bt3LuuecCkJubyznnnMN///tfO2NLE1Tm1+wobEbSbE4iIg3pPekWzIiBL2U7+d/OtTuOiIhIp+GysrPPP/+c/v37t/h+l8tFcnIyffv2ZcKECVx00UUkJydbmLBjiY2N5bPPPmPgwIH1rqWnp/Paa68xefJk5syZQzQa5dprr+WUU04hJibGhrTSFKHyzTiTwBmTbncUEWlAfN8hZM8egS95JbuWPE3aoZPsjiQiItIpWFq4VlVVsWXLljrvGYbRYFvTNBttt3jxYv773//y61//mnvuuYef//znVsbsMGbMmNFg0bqbw+Hg17/+NXPmzAGgoKCAOXPmcPrppx+oiNJcZs10e29K439fRcRe3Y+5kaKV1+JL2UThqm9JGXGo3ZFEREQ6PEunCu8uRvcsQk3TbPBrt91tG2pTVlbG7bffzq233mplzHYvPj6e1NRUTj755H22PeSQQ+p8v379+taKJfspGo3iiikCIC59hM1pRKQxKcPHUV00AIDcL/9ucxoREZHOwbIR188++4yqqiruuusuli5dyhFHHMFJJ53EsGHDSEpKwufzAVBdXU1RURFr165lzpw5LFy4kIEDB/Lggw+SkJBAeXk527dvZ9GiRbzxxhuUlpby2GOPcdxxx2mk8AdPPvkkTz75ZJPaer11N/hpbARc7Fe5IxuXL4QZhcSBo+yOIyJ70eWQayjf/Eu8Casp3byWhH5D7Y4kIiLSoRnmT+fstlBlZSXHHnss5eXlzJo1i8MOO6xJ93377bdcfvnlACxatIjExMTaawUFBVx88cXMmTOHsWPH8t1331kRtVNZu3Ytw4YNq/3+448/btJI7U8FAgHi4uIAKC8vx+/3W5ZRamyf/w5VufcSLItj6BXz7I4jIvuw+ukz8KXkUF1yKMOuatovE0VERKRlLJsqfMstt5Cdnc0XX3zR5KIV4NBDD2XevHkUFhZy/fXX17mWmprKW2+9Ra9evVi2bBmbN2+2Km6n8dprr9W+7tevH8cff7yNaWRvKnLXAhANdbE5iYg0RdLQ6QC4/d8RyM22N4yIiEgHZ0nhWlhYyKxZs7jxxhtJS2v+MR7dunXjhhtu4PXXX2fnzp11rsXGxjJjxgwAvv76ayvidhrz5s3jr3/9KwA+n49Zs2bhdrv3eV8gEGjwS1pXqGQLAA5Pb3uDiEiTdD/2DKqKuuBwRcn++BG744iIiHRolhSun332GaFQiMMPP7zFfRx55JGEw2HmzZtX79rhhx+OaZrk5eXtR8qOLxQKkZubyyeffMKMGTM44YQTqKysZPjw4cybN49jjjmmSf3ExcXV++rWrVsrpxczkgOAN6nlR0qJyIHjcDiIy7gIAKfrS6qLCmxOJCIi0nFZUrhu27YNoEmjeY1xuWr2icrJyal3bfe6V436Ne6YY47B4/HQo0cPJk+ezAsvvMCkSZN49913WbFixX79UkEODKe3EIDY3sNtTiIiTdX7xEuoLknA6Q2z9cNH7Y4jIiLSYVmyq3A4HAZgxYoVHHfccS3qY/ny5UDNkSA/VVBQ81vsmJiYFibs+I444gji4uIoKytj69at5OTkMHv2bDIzM1m2bBm33npr7eZK+1JeXl7vvUAgoFHXVlRVmI/bXwVA0sAx9oYRkSZzOF34upyNGXoBMzyXUOAXuP3xdscSERHpcCwZcU1PT8c0TR5//PEWjYqWl5fz+OOPYxgG6enp9a6vW7cOwzDo3r27FXE7pAceeICPP/6YL7/8km3btrFy5UrOPvtsNm3axO9//3uGDRvG0qVLm9SX3+9v8EtaT8mGZQCEAj68ydqcSaQ9yZh6NaHyWNyx1WR9+JTdcURERDokSwrXE088EbfbzebNm5k8eXLt1OGmyM7OZvLkyWzevBm3282JJ55Y53okEuG5554DYPDgwVbE7RRGjBjBG2+8wa233grUTOc+/vjjtTNzGxXIWQNApDrV5iQi0lxOjxdn7BQAQmXvEwlW25xIRESk47GkcE1OTmbGjBmYpslXX33FwIEDueSSS3jppZdYvnw5hYWFVFdXEwwGKSwsZPny5bz00ktccsklDB48mIULF2IYBldddRVJSUm1/e7cuZNzzz2X9evXExsby+jRo62I26ncf//9DBgwAIDi4mJuvPFGmxNJQ4IlmwAwXL1sTiIiLZFxyg2EKz144gNkffyc3XFEREQ6HMM0TdOKjkpLSznqqKNYvXp1TceG0aT7dj9+1KhRLFiwoHYd5ssvv8yMGTOIRCIAnHrqqbzzzjtWRO107rvvPn7729/Wfr9582b69u3brD4CgUDt35vy8nJNHbbY6qfPwZeyFZMLGHDeL+yOIyItsP7F3+DyfUJ1SSJDZnyCw2nJNhIiIiKCRSOuAAkJCcybN4+jjz4a+LEgNU2zwa8920yYMIG5c+fW2TwoGAzSq1cvMjIyyMjI4KqrrrIqaqfz0x2FFyxYYFMSaYzDvQuA2B7DbE4iIi2VccotRIIuvIkl5Hz6mt1xREREOhTLCleALl26MH/+fJ566imGDx/O3gZzTdNkxIgR/Otf/+Kzzz4jNbXu2r4ZM2awefPm2q/TTjvNyqidyk83tdq+fbtNSaQhoUAZ7riaTc0SBmo6vEh75UtJIxI8AoCyzS81uEu+iIiItEyrzGP62c9+xs9+9jNWrVrFokWLyMzMpLi4GICkpCQGDhzIkUceyfDhOq+yuTZv3szXX3/NsGHDmrzm96c/PDmdztaIJi1UsmE5hgHhKjcxaVrjKtKepZ90Kzu++Apf8k5yv3yfLqNOYNvc76nILyFcEcQV6yE2LZHek0biSYy1O66IiEi70aoLcEaMGMGIESNa8xGdzueff86MGTO47LLLmDVrVpPu2bp1a53ve/To0RrRpIXKs1cBEK5MweGwdBKEiBxg/l59CAXG4E1cwq7FT7Hwl18TDUcwnA7AAEzMSJSlf3uXjCljGXjeESQP6213bBERkTZPPyW3U5999tlep2Lv6eOPP67z/YQJE1ojkrRQdWFmzQtDv1AQae+i4Qhl2WMwoxDXOx9fShGYYIajmOEIZjgKJkRDEbZ+sIT/XfZ3Fv/pDaLhiN3RRURE2rQ2U7g+9NBDXHHFFXbHaDe2bdvGiy++uM92Gzdu5IUXXqj9fsqUKfTqpemobUmkKhsAd1wfm5OIyP6IhiN8eceLbP0wi8I1NXsLdD9iS6PtzUjNMo7N73zLl3e8qOJVRERkL9pM4Tpnzhxmzpxpd4x25frrr683mrqnzZs3c+qpp1JRUQHUrC9+5JFHDlA6aSrDuROA2O5DbU4iIvtjyV/eJvfLtWBC7qK+ACQNycebEiC+TwHDr1xIfJ+C+jeakPvlWpb85e0DmldERKQ90SFz7UxycjIOh4NoNEogEGDq1KmcdNJJnHHGGQwaNAiv10tubi5z585l1qxZVFZWAtCzZ0/efPNNBg8ebPMnkD1FgtV44koBSOg3yuY0ItJSRWu2sfntb2u/r9oVR3FmF5IG7qL74VuI6VpOTJcAvSZksnZWCjXrXfdgwua3v2XAOYdrzauIiEgDLC9cCwoKePvtt1myZAnbt2+nvLycSGTf05+WL19udZQO6YwzzmDjxo3861//4p133mHlypV88sknfPLJJw2279WrF9OnT+cXv/gFiYmJBzit7EvJxpUYTpNI0Ik/Y5DdcUSkhTL/sxDD6aid/gs1o65JA3eRMmIHjh82c/f3KCOhXyGlm1Pr9WE4HWS+vohDf3/ugYotIiLSbhhmU3f4aYI//OEP/PWvfyUYDDb7XtM0MQyjSUWu/CgvL4/vv/+eTZs2UVxcTCgUIj4+nm7dujF69GgGDx5syU61gUCAuLg4AMrLy/H7/fvdp0DWxzMJlz1OdXEqw65u+JcPItK2BUsqeG/yfURD9f//Nfiib4nPKME0wTDAjEJFXjxrZx1GvVFXwOF2ctonv8GToKNyRERE9mTZiOvdd9/Nvffea1V30kTdunWjW7dudseQFqrauR6XD0xTfw9F2qttc79vdGOl0s2pxGeUYPxQoxqOvY+6RsMRts1dSf+zDmvNyCIiIu2OJYVrQUEB999/P4ZhYJomPXr04MQTT2Tw4MGkpKTg8/kwjPq/Wd7Tgw8+yKpVq6yII9JuhCuzcPnAFasdhUXaq4r8kpppwuHoT66YJA3eWTvaWvtuFHoem0np5vprXQ2ng8r8klbPLCIi0t5YUrh++umnVFdXYxgGN910Ew8++CAuV/O6/ve//63CVTodw8gDwNdV61tF2qtwRZCGpv0m9CvE36Os3vt7H3U1CAWqWyeoiIhIO2bJcThZWVlAzbTVhx56qNlFK9SscbVwua1ImxeNhHH5a0ZW4vuMtDmNiLSUK9bD/7N33+FRlWkfx79nejKTHhJIQiAQuoigIqh0WUF0FcWKDRV5XXV1rbtWxLXs6q6u7trFgood7AWVZgGR3kkglPTeZjL9vH/ERGICJOEkZ5Lcn+uaaycz53nmNzFLcs/T4Pe/v1SSxmSi/n4Qtu7ZX0ddm2pntlu1DymEEEJ0cJoUrnWF6oknnojRaGxVH19++SXB4CF+wwvRCVXv24XRHCDoV4jsM1jvOEKIVgpPiGqwmzD8NtqqHOK37MGjrgdTA0HCEmQHeCGEEOL3NClc09PTtehGiC6lMmszAD5nJEaLjLAI0VGlTBqKwXTwh7aHH22tv6qJUVeDyUjKpGPaJKcQQgjRkWlSuE6ePJmEhATWrVvX6j62bNnCihUrtIgjRIdQU7gLADWQoHMSIcTRsESFkzrlOBRj7a/UI4221vn9qKtiNJA6dbgchSOEEEI0QZPC1WKx8I9//IOcnBz+97//taqP22+/nQkTJmgRR4gOwVedBYAxrKfOSYQQRyv9gtG/Thdu3mhrHVWF5LEZgIoaCJJ+/qi2jCmEEEJ0WJqd43rFFVdQVlbG7bffTkFBAbfffjsRERFadS9E56PmA2CNlan2QnR0MYNSSDvnRPZ+uhpLpOeIo611FAVs3ZwYw/yknn4yMYNS2jaoEEII0UFpVrjOmzcPgLPOOouHHnqIxx9/nJNPPplBgwYRHR2N2Ww+bPvMzEytoggR8oLBIKawMgAcPYfonEYIoYURfz2HmuIqtr/uxRTmPeL11qgaek3djsnmp+852xl83YPtkFIIIYTomBRVozNoDAYDyq8nrNd1qSiNz7U7FFVVURSFQCCgRRyhMafTicPhAKC6uhq73a5zoo7NmbePgu/PQw1C6plLMdtldoIQnUHQH2Ddo4vJWrwGxWhotNvwwRSjgfDEMvpftBaDOYi7bDADr56PwajZZ8pCCCFEp6HJGtc6vz+Lte7r5tyE6EoqMjcA4HM6pGgVohMxmIyccM95nLbgBnpNG4HBbAQFFJMBxWREMRlAAYPZSK8zRzD6H3djS7gFNahgi9nGrtdv1fstCCGEECFJ0xHXtLQ0xo4d26r2S5YsIS8vT0ZcQ5SMuGor871/YOA93KW9GTznfb3jCCHaiLfCRfZ3W6gprMDn9GC2WwlLiCJl0jENdg/OWvxfVN+rAAR8Z9Hvkvt1SiyEEEKEJk3nI5100km88sorrWo7depU8vLytIwjRMjyVezFGgUGS7LeUYQQbcgSFU6f6SOPeF3aOTeQ8VYxRvOnGM2fkPVRPGlnX98OCYUQQoiOQdOpwkKI5lEDOQBYo/vqnEQIESr6XnQf3qrRAARrXiX723d0TiSEEEKEDs0K15tuuokzzjij1e1vvfVW5s+fr1UcIUKa0VoKQHjKYJ2TCCFChcFgoP8VT+AuG4RiVKkp+DcFa77RO5YQQggREjRb4yo6N1njqh1PWTE530wBIPm0L7HGxOucSAgRSgKeGna+egm22AP4ayzEn/g0sYOO1zuWEEIIoauQmSr87bff8vrrr+sdQ4g2V56xHgCf0yZFqxCiEaM1jPSL5+Mui8cU5qVo1V+oPiBnnQshhOjaQqZwffzxx5k1a5beMYRoc87sbQAEPHE6JxFChCpLZAy9z34Jb2UEZoeLA1/NwV1aqHcsIYQQQjchU7gK0VV4K/YAoJhkR2EhxKGFJ6aQNOF/tbMzoirY8/5V+JxVescSQgghdNGi43CWLVtGIBBg0qRJjZ6bN2/eUQXJzJRpUKJrCHqzAbBEpumcRAgR6iL7DMZb/U/KNt2CLSafjDeuZsCsBRgtVr2jCSGEEO2q2Zsz3XDDDTz77LMAXH311bzwwgsNnjcYDCiK0uogqqqiKAqBQKDVfYi2I5szaWfH/HFYIpyE9ZhLj1PP1DuOEKIDyPv+U5wH5mEwBXGXH8fAq1/AYJBJU0IIIbqOZv/WW7BgAVBbYL7zzqHPllNVtVU3IboCn7MKs8MJQGT6MJ3TCCE6ih6nnokl+k+oQbBFbyBjwZ16RxJCCCHaVbOnCp922mksWrQIgAkTJjR5TVJSEqeddlqrgixZsoS8vLxWtRWio6jI2IiigN9tJixB1rgKIZovdeqV7H6/GNS3MYcvJfPdf5B+gRSwQgghuoZmF64LFy7kjTfeIBAIcNlllzV5zdChQ3nllVdaFWTq1KlSuIpOr/rAVgD8NbEyzU8I0WJ9Z9zGzteLMYd9g8J77Ps8nl5nXK13LCGEEKLNNbtwtVgsXHXVVW2ZRYhOz1OaiTkcUHroHUUI0UH1u/Rhds4vwxq1Fl/Fc+SuiCNp7Dl6xxJCCCHalGZDPldccUWrpwkDTJ48mcsvv1yrOEKEpID7AABmRy+dkwghOiqDwcCAK/+LuzQdg0nFeeBRitav1DuWEEII0aaavavwkezfv7/B1926dSMsLEyLrkUIkF2FtbH9pUlYoyqwxt1B8sQL9I4jhOjA/K5qdi24GFtsHj6XlcRTniM6fajesYQQQog2ocmIa0ZGBmlpaQ1un3zyiRZdC9FpBLweLI5KACL7yI7CQoijYwp30PeCV/CUx2AO95C/4kacefv0jiWEEEK0CU0K1w0bNjQ42iY1NZX4+Hgtuhai06jYvQXFqBLwGrGn9tM7jhCiE7DGxNPzjBfwVtmxRFSz/9PZeMpK9I4lhBBCaE6TwjU3NxcARVF47bXXyMrKYuLEiVp0LUSnUb1vCwB+V7TsKCyE0IwjOY3EU5/CX2PBGl3K7nevwl/j0juWEEIIoSlN/nr2eDwAHH/88Yc8KkeIrs5dnAGAqibqnEQI0dnE9B9GzDEPE/AascXmsGvBNQQDfr1jCSGEEJrRpHBNSUkBoGfPnlp0J0Sn5HfVrj0zhcuOwkII7XUbMR578h0EAwq2mF3sfPXPBINBvWMJIYQQmtCkcB05ciSKojTaWbgl3nrrLebNm6dFHCFCkqIUAGDrJutbhRBtI2n8eZgcswGwRv5M5lv365xICCGE0IYmhWt6ejqTJ09m/fr17Nq1q1V9LFiwgAceeECLOEKEnGDAj8leAUBEqhxXIYRoO73PvJZg8FwATNYv2PPhk/oGEkIIITSg2Q4xL7/8MomJiVx88cWUlZVp1a0QnUL1vl0YzQGCAYXIvoP1jiOE6OTSL7wLr3MsAKrvDQ58/YbOiYQQQoijo1nhmpyczA8//EB0dDSDBw/miSeeICsrS6vuhejQKrM2A+CrjsRoseqcRgjRFfS//HHcZUNRDOApeYr8n77UO5IQQgjRaoqqqqoWHfXp0wcAVVXZt28fiqIAEB4eTnR0NGaz+bDt8/Pz8Xg8BAIBLeIIjTmdThwOBwDV1dXY7XadE3UsGQsfxGj6CHdpPwbPWah3HCFEFxHwetj5ykxssXvxu83EDf8PcceM1DuWEEII0WImrTrau3dvfbFa97+qquJ0OnG5jnyenKqq9e2E6Gx81XsxRoPRlqJ3FCFEF2K0WEmfOZ/Mty7CFlNI8S+3YHG8TETvAXpHE0IIIVpEs6nCUFt8Hnw71ONN3YTo1NQ8AKxxsqOwEKJ9WRyR9Dl3Pp6KSMx2N9nfXoerMFfvWEIIIUSLaDbiCjBx4kTuvffeVrW94447+OWXX7SMI0RICAaDmMJqNyxz9ByicxohRFdki+9OyuTnyF16NdbISvYuvpr0i9/GEhGldzQhhBCiWTQtXBMSEhg3blyr2sbGxmoZRYiQUVNwAJPNh6pCVPqxescRQnRREb360+3Ef1O87s/YYorIfOsqBsx6SzaME0II0SFoOlX4aMiUYdFZVWRuAMBX7cBsj9A3jBCiS4sdciJR/R8g6DNgi93HzlevJRgM6h1LCCGEOCLNRlzXr19PTExMq9t/+aVs0y86J1f+DgxA0BevdxQhhCDxpD/grSzGW/oEtpit7HrtFgbOelLvWEIIIcRhaTbiOmzYMFJTU7XqTohOw1exFwCDJVnfIEII8aueky/BYLkMAIvjezIWPqhzIiGEEOLwQmaqsBCdlRqo3b3TEt1X5yRCCPGbtOl/xu89AwCj6SOyPn5W50RCCCHEoWm6OdPBVFVl2bJlrFixgl27dlFSUgJAXFwc/fv3Z9y4cYwbN07ObhWdntFa+7NvTxmscxIhhGgo/eK57HylBGvkaoKu+eQsjSd5wvl6xxJCCCEaaZPCdf78+Tz00EPs3bv3sNf17t2be+65h1mzZrVFDCF05ykrxmx3AxCdfpy+YYQQ4ncMBgMDrvwPO16+ElvMDly5j1O4JpaEEyfpHU0IIYRoQNOpwm63m/POO4/Zs2ezd+/ew+4SrKoqWVlZXHPNNcyYMQOPx6NlFCFCQnnGegB8ThvWGNmcSQgRegxGEwOueBF3aQpGS4Dy7fdStmO93rGEEEKIBjQrXFVVZebMmSxevLj+67r/dTgcdO/ene7du+NwOBoUtKqqsmjRImbOnKlVFCFChjN7GwABT5zOSYQQ4tCM1jD6XjQfd3kcpjAvBT/dRHX2Hr1jCSGEEPU0K1zfeOMNFi1ahKqqREVFcdttt7F8+XLKysqoqKggJyeHnJwcKioqKCsrY/ny5dx6661ER0fXF68LFizQKo4QIcFbUfuHn2KSHYWFEKHNGhVLr7NewlsZgcXh4sAX1+IuLdQ7lhBCCAGAoh5uPm8L9O3bl7179zJlyhTefPNNoqOjm9WuvLyciy++mK+++oq+ffuSkZGhRRyhMafTicPhAKC6uhq73a5zoo5h2/PnYYvdh8qF9D3/dr3jCCHEEVXu3kre99diDvfgLutO/0vfxhTu0DuWEEKILk6TEdctW7aQlZVF//79+fDDD5tdtAJER0ezaNEi+vXrx549e9iyZYsWkYQICQZzMQBh3QfonEQIIZonsu8Q4o77JwGPCVtMPrsWXE3Q79M7lhBCiC5Ok8J13bp1APzf//0fVqu1xe1tNhvXXXddg76E6Oh8zirMDicAUf2G65xGCCGaL37YKdh73UXQr2CL3c3OV64jGAzqHUsIIUQXpknhWlBQgKIoDB06tNV9HHvssaiqSmGhrKcRnUNFxkYUBfxuM2EJssZVCNGxJI35I5boP6GqYI3eQMYbf9M7khBCiC5Mk8LVZKo9Dtbv97e6j7q2BoOmJ/QIoZvqA1sB8NfEys+1EKJDSp06C5QLATCHfcvu9x7TOZEQQoiuSpO/phMTE1FVlV9++aXVffz8888oikL37t21iCSE7jylmbV3lB76BhFCiKPQ9/zb8dVMqv1CfYf9n8/XN5AQQoguSZPCdfTo0QD873//o6ysrMXtS0pKeOaZZwA4+eSTtYgkhO4C7gMAmB29dE4ihBBHp9+lj+CpGI6igLfiWXJXfqx3JCGEEF2MJoVrWloaw4YNIz8/n0mTJrXoSJuMjAwmTZpEQUEBxx13HL1799YikhC6U4xFAIQnyo7CQoiOzWAwMODKZ3CX9sVgUnHue5jiDd/rHUsIIUQXotnCu4ceeghVVdm4cSNDhgzh/PPP57XXXmP9+vWUlJTg8XjweDyUlJSwfv16XnvtNc4//3yGDBnCpk2bAPj73/+uVRwhdBXwejA7KgGISDtW5zRCCHH0DCYz/S97GXdZd4xWPyUb76QiU46wE0II0T4UVVVVrTq76aabePrpp1EUpdlt6l7+pptu4oknntAqitCY0+nE4ag9gL66uhq73a5zotBWun0t5VvmEPAa6XvRDxiMJr0jCSGEJtylhWR9cAnW6HK8VQ56nrEAe/eeescSQgjRyWm61emTTz7JLbfcAvxWkKqq2uSt7jlFUbj11lv597//rWUUIXRVva92FMLvipaiVQjRqdhiE+g59QW81eFYIqrZ/8k1eCpK9Y4lhBCik9O0cFUUhccff5wlS5YwduxYDjeYq6oq48eP59tvv+Wxxx5r0SitEKHOXVy7zltVE3VOIoQQ2nOk9CFx9H/w11iwRpew++1ZBDw1escSQgjRiWk6Vfj39u/fz4oVK9i5cyclJSUAxMXFMWDAAMaOHUtqampbvbTQmEwVbpltL1yGLWY7fs9U+l/6oN5xhBCiTRT+8h0VO/+G0RLAXTaQgVe/KrNMhBBCtIk2LVxF5yGFa8tsf/EPWKNLMUX+mdTTL9c7jhBCtJmcZe/jzv8HilHFU3kSA2Y9jcGg6YQuIYQQQtupwkIICAb8mOwVAESkDtU5jRBCtK3k8TMw2q8BwBq5msyFc/UNJIQQolOSwlUIjVXvz8RoDhAMKET2Hax3HCGEaHO9z5pDIHAOACbL5+xZ9JS+gYQQQnQ6bbYQpaCggA8//JBVq1axe/duysrKAIiJiaFv376MHj2ac889l4SEhLaKIIQuKvdsBMBXHYnRYtU5jRBCtI9+F93DjldKsDhWonoXcGBJPD0nX6J3LCGEEJ2E5mtci4uLue2221i4cCF+v7/+8bqXOXj3YLPZzMUXX8zjjz9OXFycljGExmSNa/NlLHwQo+kj3KX9GDxnod5xhBCi3QSDQXa8dBW2mC0EfQYcfR6k+6jT9Y4lhBCiE9B0qvDatWsZMmQICxYswOfz1T9+cG188H2v18vrr7/OkCFDWLt2rZZRhNCNr3ovAEZbir5BhBCinRkMBgZc+Tzu0l4YzEEqM+ZSunWN3rGEEEJ0ApoVrpmZmUyaNIni4uL64lRVVRwOB4MHD+bEE0/kxBNPZPDgwTgcjgbXFBYWctppp7F7926t4gihHzUPAGtcP52DCCFE+zNarKTPfAV3WTdMNh9Fa26hat8uvWMJIYTo4DQrXK+77joqKytRVZVBgwbx7LPPsm/fPioqKtiyZQurV69m9erVbNmyhYqKCvbu3cszzzzDoEGDAKisrORPf/qTVnGE0EUwGMQUVrue29FziM5phBBCHxZHJL3PeRlPZSRmew3ZS/4Pd3G+3rGEEEJ0YJqscd2zZw/p6ekoisINN9zAE0880ewz3ILBIDfffDP//e9/URSFjIwM+vTpc7SRhMZkjWvzOPP2UfD9eagqpE5bitkeoXckIYTQTdXeneQuuxqz3Y27LIH0S97G4ojUO5YQQogOSJMR15UrVwJw6qmn8p///KdFB48bDAaeeuopTjnllAZ9CdERVWTW7Shsl6JVCNHlRfQeQPwJ/8bvNmOLKSTzzVkEvB69YwkhhOiANDkOJz8/H0VRuPrqq1vdx+zZs/nhhx/Iz5epRKLjcuVvxwAEfd30jiKEECEh7piR+Krup3rvfdhi97HztTkMvHp+gw+5vRUusr/djKuwAr/LiyncQnhCFCmThmKJCtcxvRBCiFChSeEaGVk77SctLa3VffTu3btBX0J0RL6KvVijwGBJ1juKEEKEjO6jp3CgugRv6ZPYorew6/XbGHjlvyndls3u935i/5cbCPoDKEYDoAAqaiDI+sc+JnXqcNLPH0XMINmpXQghujJNCte6orOsrKzVfZSXl6MoylEVv0LoTQ3kAmCJ7qtzEiGECC09J89kz4fFEFiAxb6CNXP/xN5PI1GMBtRAEADVH2zQJugLsO+zdez9+BfSzjmREX89B4PJqEd8IYQQOtNkjevEiROJiIjgyy+/bHUfX3zxBdHR0UyaNEmLSELowmgtAcCePEjnJEIIEXr6nHsTPvcUAOKG/EzMoPz6ovVQ6p7P+mgNP9y2gKA/0OY5hRBChB5NCler1crtt9/Oyy+/zI8//tji9j/++CPz58/n7rvvxmw2axFJiHbnKSvGbHcDEN1vuM5phBAiNFXuHUbBLz0B6D1tKxG9S+qfi+hVwuCrfyKiV0njhirk/7CDdY8ubqekQgghQolm57jeddddzJgxgz/84Q/861//orq6+ohtnE4nTzzxBFOmTGHOnDnccsstWsURot2VZ6wHwOe0YY2J1zmNEEKEnrLt2ez9aC3Z3/andHsiBqNK3+mbCO9eCagkj8skLN5J8rhMoInT+lTIWryGsu3Z7R1dCCGEzpq1xnXevHnN6mzAgAH06NGDO+64g3vvvZdRo0YxcOBAYmJisFqtAHi9XsrKytixYwerVq3C7XZz/PHHEx8fz7x587jvvvta/26E0JEzZzsAAU+czkmEECI0Zb77U/2a1r2fDcEU5iOydynpM9aTszwde48qAOw9qohMK6Uyq/G/p4rRQOZ7qzjxvhntHV8IIYSOFFVVm/hIsyGDwYCiKM3utK7LI7Vp6rpAQNauhCKn04nD4QCguroau92uc6LQs+OVm7A4fsBTOZJBVz+jdxwhhAgp3goXn0x5iKDvt9/zBouf/hetxd6jiqBfQTGoKAZQg+AqiGDH6yOp3WW4IYPZyFlf3Y0lUo7KEUKIrqJFU4VVVW3WrbnX//46ITqyoLd26polUnbGFkKI38v+dnOjjZWCXhOZ7w/HW2XBYKotWgEUw2+jrk0J+gNkf7ulrSMLIYQIIc0+DicpKYnTTjutzYIsWbKEvLy8NutfiLZmMBcDENZ9gM5JhBAi9LgKK2qnCf/uyBu/y4y/xozZ4eXgiVpqEJLGZFKZFcvvR10Vo4Gawop2SC2EECJUNLtwHTp0KK+88kqbBZk6daoUrqLD8jmrMDucAESlD9M5jRBChB6/y0tT034j00oJT3A2evzgUdfGa10VfE5P2wQVQggRkjTbVViIrqwiYyOKAn63mbDEnnrHEUKIkGMKt9B4p2CVpDGZqIc4yrVu1LWpdma7VfuQQgghQlazRlyvuOIKjj322DYNMnnyZLp3796mryFEW6k+sBUAf00sBoN8HiSEEL8XnhCFGmhYoUamldbvJNyUQ426qoEgYQlRbZZVCCFE6GlW4dqWU4TryBmuoiPzlGZiDgcU+fBFCCGakjJpKOsf+/igXYV/G21VDvN5X1NrXQ0mIymTjmnzzEIIIUJHyAwNffvtt7z++ut6xxCiVQLuAwCYHb31DSKEECHKEhVO6pTjUIy1f3rUjbYermiFxjsMK0YDqVOHy1E4QgjRxYRM4fr4448za9YsvWMI0SqKsQiA8ETZUVgIIQ4l/YLRv04XPvza1t87eK2rGgiSfv6otowphBAiBIVM4SpERxXwejA7KgGISGvbteBCCNGRxQxKIe2cE1FMKpZIzxFHW+soBrBEeFBMKmnnnEjMoJS2DSqEECLkNPs4nJbYvXs369atIzc3l+rqagKBwBHbZGZmtkUUIdpcxe4tGIwqAZ8RR2q63nGEECKkjfjrOdQUV7H9dS+mMO9hrw1LqKL3lO0oBsj5vg+JowYz4q/ntE9QIYQQIUXTwvW7777j9ttvZ8OGDS1uq6oqitL4fDchQl31vi0A+J3RGIxt8lmQEEJ0GgaTkVMev4x1j0aQtXgNitHQaLfhOjUFkdii3fQ4OYuU8Zl0H3M/BpOxnRMLIYQIBZpNFf7www85/fTT2bBhA6qqtvgmREflLs4AQFUTdU4ihBAdg8Fk5IR7zuO0BTfQa9oIDGYjKKCYDCgmI4rJAAoYzEbM0efhLo3FZPOT/dXtBAN+veMLIYTQgaJqUDW63W7S0tIoKCiof6x3797069eP2NhYbDbbEftYsmQJeXl5zZpWLNqf0+nE4XAAUF1djd1u1zlR6Nj2wuXYYrbh90yh/6V/1zuOEEJ0ON4KF9nfbaGmsAKf04PZbiUsIYqUScdgiQyndPtaStdfh8EcJBiYTvpFd+sdWQghRDvTZF7jihUrKCgoQFEUTj31VJ5//nkGDhzYoj6mTp1KXl6eFnGEaFeKkg+ArVt/nZMIIUTHZIkKp8/0kYd8PnbQ8ZRtOR94B9SPKNk8ibihsrOwEEJ0JZpMFd6xYwcAdrudxYsXt7hoBWS6sOiQggE/JnsFABGpQ3VOI4QQnVfaebfiLu2FwRSkcNW9+GtcekcSQgjRjjQpXD0eDwCjRo0iJiamVX089thjfPfdd1rEEaLdVO/PxGgOEAwoRPYdrHccIYTotAwGA73O/Df+GgvW6DIy3/6b3pGEEEK0I00K1169egEQERHR6j6GDh3KuHHjtIgjRLup3LMRAF91JEaLVec0QgjRudmTe2FLvA4As/0Hcld+rHMiIYQQ7UWTwnXChAnYbDYyMjK06E6IDqOmcBcAaiBB5yRCCNE1pJ5+Ge7yYSgKVGU+hru0UO9IQggh2oEmhWu3bt3405/+xNatW1mxYkWr+pg6dSomk5yBKToWX/VeAIy2FH2DCCFEF5J+4eN4qxyYHTXsef9WveMIIYRoB5qd4/rPf/6Ts88+mxkzZrR6raps0CQ6HLV2R2FrbLrOQYQQouuwRMYQc8zdqEEFW8x29n7yvN6RhBBCtLFmDXE2dxT1pptuwm63M3nyZEaNGsXUqVMZNGgQ0dHRmM3mw7YtLS1t1msIESqCwSCmsNqfW0fqMTqnEUKIriVx5GTKd3yDOexbfBWvULVvAhG95FgyIYTorBS1GcOcBoMBRVGa3amqqi26/uA2gUCgRe1E+3A6nTgcDgCqq6ux2+06J9KfM28fBd+fh6pC6rSlmO2t35xMCCFEywW8Hna+eg62mCLcpUkMvOZDDEZZdiSEEJ1Ri6YKq6rarFtd0drc62WKsOiIKjLrdhS2S9EqhBA6MFqs9Bj/KAGfEVtsLrvffVjvSEIIIdpIsz+WtNlsJCS03c6pBQUF9efBCtER1OTvRAGCvni9owghRJcV038YZZsvhOBbKHxC8abTiD/2ZL1jCSGE0FizC9dx48bx+eeft1mQqVOn8vXXX7dZ/0JozVuxB2sUGCyyo7AQQuip9/Sb2fHiT9hisyj6+V6i0z/CFO7QO5YQQggNabarsBBdjRrIBcAS3VfnJEII0bUZDAZ6nf1v/C4r1qgKMt7+q96RhBBCaKxZheuxxx5L375t+8f55MmTufzyy9v0NYTQktFaAoA9eZDOSYQQQti79yQ8+QYArBGryF3+oc6JhBBCaKlZuwoLIbsKN+QpKybnmykAJJ/2JdYYWecqhBChYPtL12KNWofPaaPXme9ji++udyQhhBAakKnCQrRCecZ6AHxOmxStQggRQvpe+BjeygjMdjd7PryFYDCodyQhhBAa0Kxw7dOnD1dddZVW3QkR0pw52wEIeOJ0TiKEEOJglogoYo+7HzWgYIvZxb5Pn9c7khBCCA1oVrju3buX/Px8rboTIqR5y3cDoBiTdE4ihBBdR8BbRdBXfcTrEo4fj983GQB/5WtU7tnW1tFaLOirJuCt0juGEEJ0GM0+DkcI8ZugNxsAS1QfnZMI0bHUFK3DlbsSd9Fa/DVFBLzlKIoRgyUSsyMFS2RfbN1GEJZwAkZrTKP2VXs/oWjNA4fsP3rwbGKHzGl1Pr+7mOq9n1FTsBpv1T6CnjIUowWjNRZr7GDCe5yKPWUSisHc4r5ritbjzPkOd+Fa/DWFBH3VGK1RmMISsSWcgD1lErbYIYftY/9nZ+F35TV6vPvY/xGeeFKL8gQDHg589kcCnpIGj9u6jSBp/AsAVGd/Q+FPR7dDb5/zfzmq9nUq9yymdPPT9Bj3LNbo/gCUbn2e8m0vNrrWkTqV9AvvZ+erG7DFFJL9zR0MvGoRBtPh/7sVr3+cysy3Gz3e84yPMdtrP6jc894Jh2xvCu9B6rRPmvV+fM5c8pZfR+zQG4nsc06z2gghRFem2eZMBoOBsLAwEhMTW92HyWQiJiaG3r17M27cOC6++GJiYhr/4SLan2zO1NCO+eOwRDixdb+PpDF/1DuOECHPU7aDkg3/wl28HoMlivDuJ2OJ7ofREk0w4MFffQBX/g/4qvbVNlCM2OKHEz/ir1gie9f346vOxl2yCYDy7fPxVe0FoNvIeQBYovphje7X4nyqGqBs6wtU7HoDNeDD1u04whJGYrTFowbc+Jw5uHJX4HfmYLInE3fcLdiTxjWrb58zh+JfHqKm8GcM5kjCk8ZgieqHwRJB0FuBp3QrrrwfUQM1hCeNI374HZjCm/5d6sxZRtDvIugpp2Tjv+sft3U7gaTxz7XoPVdkvkvJ+n/Wfx037BYM1miMtljCE0cB4HflU1O0Dmj6+304VXsW4S5ef9SFq6qqFK97mKo9i4gacBmxQ29EUWonjHnKM/BWZDTKh2Kk59QPceWVUbj6aoyWAH7vGfSfeejcAU8Z+z87CzXgBiA8eQL25AkA2JMnYDCF1b6vfbVn2ruL11O1ZxEAEX2mY4sfjsEUjj15fDPfV5DSTU9TsWsBEX2mEz/iLhRFadH3RgghuhJNR1zdbjd79+5t8Nih/hH+fb188HW//PIL77//Pn/729944IEHuPnmm7WMKcRR8TmrMDucAESlD9M5jRChr/rANxStuR814CGy38XEHnMdBlN4o+viuIWqfZ9R/MvDqEEP7qJf8FUfaFC4mh0pmB0pAFRlLa4vVCJ6ndHqfEG/i4IfbqOm8GfMEb1IGPkg1tjBja5Th/2Fysx3KNn4JAU/3Ebs0OuJHnjlYft2F28g/4dbCXoriOj9R+KOuwWD2dHoOn9NMcVrH8KVu5yc0m10P/UJrDEDG11XVxT5nLkNCld30S+4S7ZgizumWe9ZDfqp2LmgwWPhyePrRxXrmMK7139vW/r9rin4GYrXNyvP4ZRu+g9VexYR2fd84o69qcFz1ujfPqg4OB9qgPIdr9Pt+L9Rsnkm+F/HYPyCovWT6TZ8TJOvU7HrrfqiFcASld7k+6x/TA3UF662uGNb/DOoKAbiht1E0O+ias8HGEwO4obddOSGQgjRRWm6q3BdMXpwEaqqapO3OnXXNnVNVVUVt956K3/5y1+0jCnEUanI2IiigN9tJiyxp95xhAhpNYW/ULj6btSAh+jBs4k/7tYmi9Y6Eb2m0e2kQ08F1pqqqhSuvo+awp8xhiXSY9xzTRatUFtoRPW7mG4n3AuolG7+L5VZHx2yb191doOitduJ9zVZtAKYwuJJPPkxwhJHEXAXkb/yJvw1xUfMb478bblC+Y75R7y+TvX+L/G78hq0D0WugtVU7HoDkz2Z2GE3H/F6ozUWgyUKgOq9n+CvKab32TfgLu2LwahSvPZ+fM7G60qDvmoqd7+ny/cj7ri/YApPomLXAlwFq9v99YUQoqPQrHBdunQpX3zxBcOHD0dVVUaNGsV9993HwoUL+eKLL1i6dClLly7lyy+/ZOHChdx///2cfPLJAKSnp/PRRx+xdOlSPvnkE55//nlmzZpFZGQkqqry1FNP8fHHH2sVVYijUn1gKwD+mlgMBjlRSohDCfqqKVx1F6gBzJF9iRl8TbPaOVJOw9ZtRBunq1WZ+Q6u3GUAxA27GVNYtyO2ieh9JmHda39/laz/J77q7EbXqKpKwaq/EfRWYLTGEXfcrUfsVzGYiD/+bhSDlYCnhKI1c4/Yxp48AZOj9gM0V+5KvBW7j9hGVVXKd7yGrdsJWGOaLtK1EN7jVKIGXNHq9qqq1k9ljh5wOQaj9YhtFKOVqPQLa9sHvVRkvInBYKD39H/jc1mxRlWS+fadjdpVZL5H0F9DdP9LW523tQxGG1EDZgK1P08areASQohOR7O/ukeOHMndd9+N0+lk1apV/Pjjj8ydO5cLL7yQ008/nXHjxjFu3Dj+8Ic/cOGFF3L//ffz/fffs2rVKoxGI3fccQfHHXcc06ZNY/bs2bz88svs3r2byZMno6oqDzzQfp/AC3E4ntLM2juKHGovxOFUZL5LwFMKQFS/i1EUY7PbOlKntlWsekG/m/LtrwBgDEvEnnJas9tG9b8EADXgoXzna42ed+Z8h7es9tisiD5nYzA3b18As70H9pTadZU1Bavq1/MekmIgesBlv36hUr7j1SO+hjPnO3xVWUQPurJZmVrL0fM04o69sdXta+rWPCtGHKmnN7tdZL8LUX4d1a/c/SEBbyXhCck4Um8GwBr5MzlL36u/PhhwU5mxEEfPyZjs+uwU70idCooRX9U+avJ/0CWDEEKEOs0K15tuuokDBw6wYsUKRo4c2ex2J554IsuWLaO0tJQ//elPDZ6Li4tj0aJFJCcns2HDBrKysrSKK0SrBdy1oytmR299gwgR4ip3f1B/v7kb1tRx9JpKyunvE5Zw6B1cj5Yz59v6HXXtyeNatDFOWMKJGMwRAFTv/Yyg393g+crd79ffr9vgp7nCD7r+4H4OJaLXmRht8bVZDnyNz5lz2OvLd7yKJXpg/QZMWqra+wl73juBmsKj30m4at9nAFhjBh9yinVTjJYoItPOAUD1O6nMfAeA5Ann46k4EYDq/U/iKqz9PlXtWUzAU3pUo8NHy2iJxBo9oDbPr+9bCCFEQ5oUrqWlpbz++uvccMMNJCQktLh9YmIi119/Pe+99x5FRUUNngsPD2fWrFkArF4taz+E/hRjIQDhiQN0TiJE6PJV7SdQUwDUHhFitEa3qL3BaMMS2bt+J9e2UJO/qv6+NbrxRkiHoyhGLFHpQO2UVHfJxvrnggE3nuJfvz7ouuaqK2AAagrXHjmL0UJUv4trv/h1U6JDceWvwlu2/YibSulNVYO1mzsBluiWff8AogZcCr8eWVSR8TZBfw0AfS/6B56KSMzhHvYuuoWA30vFrjcI635Kq3aj1pLl19evKfgZVQ3qmkUIIUKRJoXr0qVL8fl8nHRSy86QO9jo0aPx+/0sW7as0XMnnXRS7XqhgoKjSCnE0Qt4PZgdlQBEpB2rcxohQpfn12myAOaIVB2THJqnbEf9/dZkPLiN96D3663IRA16ATDZk1p85qvJngxK7ab/gZoC/O6SI7SAyL4zDhoB/uSQGzuV75iP2ZGKPWViizL9XsBT3uQt6HcdVb91/NXZBL0VAJgdLf9vYwpLIOLX6eZBbwWVez4EwOKIJP74uQQDCrbY3ez76Db8rnxiBs3SJPfRqHufQW8F/ibWTQshRFenyXE42dm/Tp00t/xA9vogptooOTmNpzhFRdXuEOh0OlvdvxBaqNy9DYNRJeAz4kht+SiAEF1FwFNWf99gCs1zn+vW3wItmoraVJuAp/y3++6yJq9pLkVRMJjt9YVb0FMGtrgjZLET2XcG5Tteqd+U6PdHx7hLNuEuWkf88ffUn4PaWvs+bv564Nbw1p3nCxitrTvPPWrg5VTt/RQIUrHrTaLSL0AxmOk2fCxl26ZiMH6OGvgRs6MftvjjtAl+FIy22Pr7vur9IfuBjxBC6EWTwtXv9wOwadMmJkxo2VqeOhs31k6rCgYbT48pKan9tDksrO2mjAnRHFX7ajdK8TujMRg1PQZZiE4l6P/tg0alGbvBBv01qAFPk8+1dJpxcwV91fX3FaOtxe0PbhP0OQ+6/1u/zdkJ99B9VzTq+3Ci+l1MRcZbqAEPlbs/JHrgLIyWyPrny7fPx2jrRkTvaa3KdLDuY//X5OM1BasanQ/bGnXTzIH6421ayhLRm/DkcbhylhKoKaRq72dE9jkHgPQL72XXgh+xOMpxFRQS8HowWlr330orhoP+W/ld+TomEUKI0KTJX949e/ZEVVWefvpprrnmGuz2ln26Xl1dzdNPP42iKPTs2fhczJ07d6IoCt27yy6uQl/u4gxMVlDVRL2jCBHSDh5lPVRBerDSTU9Rufu9Jp/rc/7Rb/TTFIPZUT+qqQbcR7i6sYPbGCy/jawePMoabMZ7P3LfEc1qY7TFEtH7j1Tufq9+U6KYwbMB8JRn4Mr7nthjb27x1OWmhCc2vTQoUFN41H0DDaYcH03emIGzcOUsBaB852tEpJ2FohgxmMyEJUTjry7H4qhg9zvz6H/ZQ0ed+2goBkv9/bo1uUIIIX6jyRrXyZMnYzabycrKYsqUKfVTh5vjwIEDTJkyhaysLMxmM5MnT27wfCAQYP782kPV+/fvr0XcTmPVqlXcddddTJw4keTkZGw2Gw6Hg9TUVKZNm8bjjz/eaLMrcXT8rv0AmMJlCpcQh3Pw9M6DRyAPJbLfhXQf+7/6myWq7TfKaZix5UtRDm5zcF8H31db0a+qqg0Kt5ZMlY0acBn8euzQwZsSle+Yj8EcSWTfc1ucRw9qwFt/XzG0/jN2a+xgwhJqTzrwVx/Amf0tAK78Hwm49qKYxwJgNH9N4S/fHUXio3fw+2zOhz1CCNHVaFK4xsTEMGvWLFRV5ccffyQ9PZ2ZM2fyxhtvsHHjRkpLS/F4PHi9XkpLS9m4cSNvvPEGM2fOpH///vz0008oisI111xDdHR0fb9FRUXMmDGDXbt2ER4ezrBhw7SI26G53W6eeeYZ+vbty+jRo3nkkUdYvnw50dHRnHzyyQwZMoTi4mI+//xzbr/9dnr27MkjjzxCIBDQO3qnoCi109ds8fruPilEqLPGDKq/763ae8TrLRG9CU88qf7W3FHGo3FwRl/1/ha391X91sYaM7j+viUqvX5HW58zFzXob1G/flcuBH1A3Y7MzS9czfYkHD3/APy2KZGv+gDO7O+ITD8fw6/nm7aViN5n0ef8X476GCPF+NvoY0u/f78XNfC3Y27Kt7/66/++gik8iV5/fBR3WX8Uo0rpxgfxufTbS+Pg99mc6fVCCNHVaHaO6z//+U8GDx6Mqqp4vV7efvttrrjiCkaMGEG3bt0IDw8nLCyMbt26MWLECK644grefvttPB4PqqoydOhQHn300fr+3nzzTZKTk/n4449RFIWJEyfWb+DUlT3//PNcf/317NmzB4A5c+aQnZ3N1q1b+e6771i9ejWlpaU89thjmM1mPB4Pd911F1deeWWT64dF8wUDfkz2cgAiesmOwkIcjjkiFVN47fKOQE3hIXe51VPYQdNdD95huDlUNYC3IgMAxRiGLf63D1YNJhu2uF+/Vv14KzJb1Le3bOdBGVt+1mr0wCuA2jNpK3a9Sdm2F1EMZqL6XdTivvRycIGt/lrEt1Z44kn1Hyx4K3ZRuvl/uIvXEzXgMowmC33O/Tc+pw1LZBW5S58/qtc6Gge/z7Y8BkoIIToqzQrXyMhIli1bximnnALUTnWq+9+mbgdfM27cOL799lscjt/WBXm9XpKTk0lNTSU1NZVrrrlGq6gdWt33DODWW2/lueeeo0ePHg2usdls3Hbbbbz++m9n+b3xxhu88MIL7ZazM6ren4nRHCAYUIjsO/jIDYTo4iL6nFd/35m9RMcktTzlO3GXbK7/2p4yCaO1didXZ86yBv++HklN4S8EfVUARPQ5p9E6zMj0GfX3nb+usWyu365XiOx73mGvbYolKp3wHqcCtR8aVO/7nIi0s1u9O68ejGG/nQlftw75aDQYdd3xCkZrLBFpfwTAFt+diLRbALA4dh31ax2K311MTeEvBLxVTT5/8Ps0hsk+CkII8XuaFa4A8fHxrFy5kueee65+9PVQVFVlyJAhvPTSSyxdupS4uIZb/c+aNYusrKz621lnnaVl1A4vJiaGefPmHfaaiy66iDFjxtR/PW/evBb9YSYaqsqq3VHYVx2p++6TQnQEUenn1xeGFRlvE2zFBkhaKtnwLwpX3VX/tcEURvSgq4DaXWydOd82u6/KjIUAKCb7ryOcDdmTJ2GJHghAVdbiZp9v6nfl48ypXWtpT5mENWZgszMdLHrglb99oRiJ6n9pq/o5GtX7vyT/+5sJuEuPfPHvmCN61d8/+Gil1rInT2jQZ2S/ixrs+Jw07lw8VS0f3W6JmvyfyFv+f3jLdzb5/MHfJzkKRwghGtO0cK1z7bXXsmXLFjZv3syLL77InXfeyZw5c5gzZw533nknL774Yv3zV111VVtE6PSmTp1KePiR1ypNnz69/n5eXh7r169vy1idmqug9o8NNdBN5yRCdAwGs4OEUQ+DYsTvzKFkwxN6R2okMv1CwpPGA1C68Un87iNPaa7a9wWuvO8BhYSRD2CyxTe6RlEUEkc/isESRcBd0qz3rgb9FK19GDXgweToSfzxdx2xzaHY4odhix8OgCN1CmZ7jyO00J63ah+uvO9b9YGF2dGz/hgcX/WBo86iKAaiBlxee99kJ7Lv+Y2u6XfRo3irD9oNu50/6K17nwZLFGZH4xMWhBCiq2vTRaNDhgxhyJAhbfkSXc7w4cO56aabmDJlSrOuT09Pb/D1nj17GDFiRFtE6/R81XsxRoPRJn9QCNFcYQknkHDS3yn6eS5Vez5ADbiJG/aXQ57N6nPmUb7jFdzFG9sln6IoJJw0j/wfbsVduIa8ZdeRcNKDTY50qmqQyt3v1RahipH44bdjTx5/yL7NjhS6n/Iv8n+4laqsRQDEDbupwXE5dfzuEorXPkRN/o+Y7Ml0P/XJBmewtkaP8c+DGqzfZbgjURQDYQkjcWYvafEa4UOJTDubiF7TQFFQmviemMIdRA+chSv7vwBUbF9F3DH/p8lrN0fdmumwhJEoSpuMKwghRIcmux11MOPGjWPcuHHNvt5mszX42uORLfZbTa09EN4am36EC4UQB3P0nIzZkULx+seo3vcZzpxlhHc/GWvsIIyWaIIBD35XHp6STb8WrCooJuw9/0D0wFkN+vJW7MaV/yMAfldB/ePlOxccMcfB1x/MYAqnx5inKdv6PBUZb5HzzeXYuo0gLOEEjGHxqAEv/upsnLnL8TtzMEf0In7EXwlLOPGIr2mLP47kSa9RtPYhqrIW4cz5jvCksVii0jGaIwh4K/CUbsOV9z1qwI2952Tih995yMLeVbCKgLuUoKf81+9HJlX7Pgdqp8MevKmPohigiQLI7y6hpmB17X1nzm995yzDYI3G7EjBFle7AZ23ah+u3BWNvn/N+X57SjYd8ZrDcfSaijN7CZ7SrQR91U0W/L7qbNy/vk7AXUrQX1P//bBE9cMa3XAH+EMdrePMWUbQ78LicFI3qVsNbiF/9XPYu6cS0euM+mvr3runbFv9Y678Hwn8+t/kUA6+/vcC3qr6DcIcB72WEEKI34RM4XrllVeycuVKdu/erXeUTuX357j26yfHuLRGMBjEFFa7/sjRU2YRCNFS1phBJE+cT03hGpy5K3AXrcVdtJaAtxLFYMZgdmCy9yCiz3Rs8cOxJ41pslDxlG2jdNN/Gj3e1GNNMYU3PWVWMZiIHXo9kekXUr3vM2oKVlO558PaAtFgxmSLwxZ3LOFDb8SeMqHJEbtDMTtSSBr3LDVF63Fmf4u7aB2u3BUEfU6MlkhM4d2JTL8AR+qURoXW75Vvn4+7aF39166cpbh+3czJdsbHzdqN1leZRdHP9zV6vGTjvwFw9Drzt8K1IuOovt9HI7zHqZgdqfiq91N9YAmRfaY3usZdvJ6iNQ80eKzuvUUPnn3E72edkg3/wu/Ka/CYYgDX/pdw7adB4drUe3ceWILzQOs3IKve/yWoAcyOVMJ7nNLqfoQQojNT1BDZrWfq1Kl8/fXXct6oxu644w4ee+wxAHr06MGBAwcwGls+bczpdNbv+lxdXY3dbj9Ci87FmbePgu/PQ1UhddpSzPa2P2NSCCG6Olf+T+SvvBGToycpf3i7wYZKbalq3y7yV16O0erHV3MaAy5/9MiNWikYcJP91YX4nTl0H/Nfwru37SZRQgjRUckiik7u448/rr//pz/9qVlFq9PpbPLWlVVk1q6381XbpWgVQoh2Et59NJH9LsZffaBdRnnrRPTqjzmqdpq6yfotBT+33XFOpRufxO/MIarfJVK0CiHEYTR7qvCGDRu4+eabCQaDPP7444wcObLB860ZxRNt65tvvmHnztqdcFNSUrj55pub1e7g83RFrZr8nShA0Nd491AhhBBtJ27YX1D9Lioz30Ux2ogdekO7bF7U+6w5bHvhe2wx2ynb8hAxA0/AEqndWbiqGqR089NU7n6fiLRziB32F836FkKIzqjZ//JfcMEFrFy5ku+//56ZM2c2el5V1aO+Ce0EAgHuuOMOoHbXzBdeeEEK0qPgrdgDgMGSonMSIYToWhTFQLcT7iV+xN+o2rNYs12Gm6PPjH/hqw7DElFN5ju3a9q3tyKTqj0fET/ib3Q74R4URdG0fyGE6GyaXbgePFXU5Wr6IHX5Rzd0PPzww/Vntt55551MnTq12W2rq6sb3QoKmt6Ns6tQA7kAWKL76pxECCG6psi+59HzjMWY7Unt9pq22AQi0m9HVcEWvYH9Xx15N+XmMtuT6HnGYiL7nqdZn0II0Zk1e6rwiy++yJw5cwgGgzz33HNNXjN27FheffXVVgW54oorWLlyZavaioa++uorHnigdpfF6dOn89BDD7WofVfbeKk5jNYSAOzJg3ROIoQQXdfRnm3bGklj/siOV77F4vgBd8GzOHPGYk/uddT9NrVrthBCiENrduF6xhlncODAgcNeExYWRq9erfvHPCzsyFv4iyNbv349F1xwAYFAgEmTJvHWW29hMMgeXEfDU1aM2e4GILrfcJ3TCCGEaG/pFz1CxhtnY40uY9+ntzBw9nvyu1UIIdpZyPyrK2tcj962bds4/fTTqaysZNy4cXz00UfYbDa9Y3V45Rm1U659ThvWGNmcSQghuhpTWDgJox4k6Ddgi91H1gf/0juSEEJ0Oc0ecT2SrKysoxo1ff3116mpqdEqTpezfft2Jk6cSFFREePGjeOzzz6TKb8aceZsByDgidM5iRBCCL3EDR1F2dazgUWovvco234aMYNkFo4QQrQXzUZce/XqRUJCQqvbJyQktHqacVe3Y8cOJk6cSEFBgRStbcBbvhsAxdh+G4IIIURbchWsJvvrS3AVrNY7SofS5/w7cZcmYzAHyf/+rwS8Hr0jCSFElxEyU4VF6+zcuZMJEyaQn58vRWsbCXqzATBH9dY3iBBCaEBVVcq2PIe3YhdlW56TpTotYDCaSD3jX/jdZqzRJWS+dbfekYQQostos8J1x44dPPbYY8yYMYOTTjqJgQMHNnj+3Xff5Ztvvmmrl+8Sdu3a1eyidfny5ZhMJiZNmtTOKTs+g7kYgPDusqOwEKLjqylYhad0M1H9LsFTupmaglV6R+pQHD3TscZdA4ApbBn5P32pcyIhhOgaNC9cd+/ezemnn86QIUP461//yqJFi1izZg0ZGRkNrvvkk084/fTTGTZsGN9//73WMTq9uqI1Ly+vWSOtqqoSCAQIBALtmLLj8zmrMDtqzzCOSh+mcxohhDg6qqpStvUFrLFDiR32F6yxQynb+oKMurZQrzOuxl02BMUA5dsfwVNWonckIYTo9DQtXL/77juGDx/ON998g6qq9bemhIeHo6oqmzdvZsKECbz22mtaRunUMjIymDBhArm5uTI9uI1VZG5CUcDvNhOW2FPvOEIIcVTqRltjhlyLoijEDLlWRl1bqe/5/8ZbHY4lwsnu927TO44QQnR6iqrRx6xZWVmMGDGCysrK+mK1R48eJCUlsWfPHsrLyxuN9v3000/MnTuXJUuWYDKZWLVqFSNGjNAiTqeVmZnJ+PHjycnJASA5OblZR97U1NTUF7rLli1r8es6nU4cjtrD0qurq7tMobz3k+cJul/EXZbI4Gs/0zuOEEK0mqqq5H53FaCSNPEVFEU56DFImjgfRVH0DdnB5P34Oa7s+1AUMDmuJ3XqLL0jCSFEp6XZiOu9995LRUUFZrOZO++8k6ysLHJyclizZg0jR45sss3o0aP56quvuP322/H7/dxxxx1axem0Hn744fqiFSAnJ4fdu3cf8Zabm6tj6o7LU5pZe0fprm8QIYQ4Sr+Nts6pL1APHnV15f2gc8KOp8fJZ+BzjQXAXfwC1dl7dE4khBCdlyaFa3V1Ne+++y5Go5GPP/6YRx55pEVH2zz66KMMHz6cpUuXNijKRGPBYFDvCF1KwP3rjsKO3voGEUKIoxDwuSj8+X4sMYMJSxzV4LmwxFFYYgZTuOpOyne+SdDn1Cllx9Tv4ofwlMdisvnY/9mtBAN+vSMJIUSnpEnhumLFCvx+PzNnzuQPf/hDi9srisKsWbXTa1atknU2h/Pqq682WD/c0ltrpgl3ZYqxEICwhP46JxFCiNbxlO0g+8vzCHpKiT3mukbTgRVFIfaY61ADHko3PcH+z6ZRsuk/+F0FOiXuWIzWMBJPeZig34At9gB73n9M70hCCNEpaVK47tu3D0VROOuss1rdxzHHHIOqqhw4cECLSEIctYDXg9lRCUBkH9lRWAjRsaiqSsWut8j59koCnhKsTYy21glLHIU1dgiKMYygr5qKnQvY//kfKVx9L57yne2cvOOJHXwCGM+r/SK4iNKta/QNJIQQnZAmhWt5eTkAiYmJre6jbkMnt9utRSQhjlrl7m0YjCoBnxFHarrecYQQotkCnjLyv7+Zko3/BtUPapCYJkZb69Sudf0/1EAN0YPnYOt2PKgBqvd/Qc6SmeQuvw5X3veoqixXOZQ+M27HXZqKwRSk4Me7CHhq9I4khBCdikmLTqKjowEoLCxsdR+7du2qna4UG6tFJCGOWtX+zQD4nVEYjJr8X0UIIdqcq2A1RT/fR8BdAooZU3gCoGC0RuMp23HIdkZrNCZ7CjX5P5I0cT7e8h2U73wDZ/Y3uAvXkF+4BnNEGlEDZuJInYrBaG2/N9UBGAwGUs/8F7nfzsQaXUbGW3cxcNYTescSQohOQ5O/xnv37o2qqixevJhzzz23VX3UnePar18/LSIJcdTcRbswWUFVZUdhIUToU4N+Src8S8XO1wEVc2QfEkY+QP4PtxGoKSDnm8ua2Y8Pgj6sMYNIHPUQfteNVGS8TeWeRfiqsij+5e+UbX6GyPQLiOw7A6M1uk3fV0fiSE7DljAHf9XTmO0ryfvhU3qccqbesYQQolPQ5BzXmpoa4uLi8Hq9fPDBB5x99tkNnp86dSpff/11o3Nc6zz44IPcf//9OBwOSkpKMJvNRxtJaKwrnuO67YXLscVsw++ZQv9L/653HCGEOCRfdTaFq+/GU7oVgIg+5xI37BYMJht+Vz4BT3mz+zJaYzCFN176E/RVU7lnMRUZCwnU1G7cpBitOHqdSVT/S7BENP80gc5u24tXYYvehK86nN7nfIg1Jl7vSEII0eFpssY1LCyMK6+8kmAwyIwZM7jllluadazNunXrmD59OnPnzkVRFObMmSNFqwgZilL7h5ktXmYBCCFCV/X+L8leMhNP6VYM5ggSR/+TbsffhcFkA8AU3h1rzMBm35oqWgEMZgfRAy4l9YyPSDjp71hiBqEGPFTt+YDsL2eQ/8Ot1BStR4PPwzu8vhc8jrfKjtnhYvd7t+gdRwghOgVNRlwBiouLOfbYYyko+PVTWEXh2GOP5bjjjmP58uXs3buXO++8k+rqavbv38+GDRvqdxBWVZXU1FQ2bNhQv15WhJauNuIaDPjZ/c4pGM0Boo95nthBx+sdSQghGgj6nBSvf4zqfZ8CYIs/joST/o4pvH2WN6iqirt4HRU738CVt7L+cWvMYKIGXIo9eSKKoevuD1Cw+muq996FYgBj2Bx6nTlb70hCCNGhaVa4AmzcuJGJEydSVlZW2/lBuxeqqtro6zpxcXEsX76cwYMHaxVFaKyrFa6VWTso/uVSggGFtHO/x2iRTUiEEKHDU7adwlV346veDxiIGXwN0YOu0q1Q9FbupSLjTar3foYa9AJgCu9BVL+LiUg7G4O5c//OOJSdr92OOXwpfreZHuMWECE71AshRKtpMlW4zrBhw1i/fj1jxowBaovTugL1UFvwT5gwgQ0bNkjRKkJKVdYmAHzVkVK0CiFChqoGKd/5BjnfzsJXvR9jWCI9xj9PzJBrdR3dtET2ptvxd5M67VOiB8/GYInG78qjZOO/2f/ZNEo2/Qe/q0C3fHpJv/jvuMviMdl8HPjiVoIBv96RhBCiw9J0xPVgK1as4NVXX2X58uVkZWU1eK5Pnz6MGzeOK6+8sr7IFaGtq424Zix8EKPpI9yl6Qye87becYQQAr+7hKI1D1CT/yMA4ckT6HbCPRgtUTonaywYcFO973Mqdr2Jr2pf7YOKEUfPPxA14FKs0QP0DdiOynasp3jd/2E0Bwj4z6bfxffqHUkIITqkNitcD+b3+yktLQUgNjYWk6nrrnnpqLpa4brtxauxRW/E55rAgCse0zuOEKKLc+Wvoujn+wl4SlAMVuKOu4WIPucecjZTqFDVIK68H6jYtQB30br6x20JJxLdfyZh3U9GUTSd/BWSdr//OIr6NkG/QswxTxM3dJTekYQQosNpl8JVdHxdrnB9YRq2mAIMttn0PmuO3nGEEF2UGvRRuvkZKnYtAMAc2ZfEUQ9jieqrc7KW85Rtp3znGzizvwG19ng8c0QaUQNm4kidisHYeZdlBINBdrx4AbbYvXgqoul3yWJM4Q69YwkhRIcSMoVrUVERNTU1pKam6h1FNKErFa7BYJDMN0/BZPMR2e9J4o87Ve9IQoguyFe1n8LV9+Ap2wZAZN/ziR12EwajTedkR8fvyqci420q9yxC9TsBMFpjiUy/gMi+MzBao/UN2EacefvIWXIxpjAv3qqTGXjVU3pHEkKIDiVkCtepU6eyZMkS/H7ZuCAUdaXC1Zm3j4Lvz0NVIXXaUsz2CL0jCSG6mKp9n1G87h+ofhcGSxTdTrgXe/J4vWNpKuirpnLPYioyFhKo+fUoPaMVR68ziep/CZaIXjon1N6BJW/iK38CAFviPSSNPUffQEII0YGE1MKSEKmhRRdXkbkRAF+1XYpWIUS7CvqqKVx9L0U/34/qd2HrNoKUyW91uqIVwGB2ED3gUlLP+IiEk/6OJXogasBD1Z4PyP5yBvk/3EpN0foj/m3gKlhN9teX4CpY3U7JW6/n5Jl4yo8DoGrPv3CXdL2dloUQorXabJekoqIicnNzqa6uJhAIHPH6us2bhNBbTf5OFCDoi9c7ihCiC3GXbqVw1d34ndmgGIkZPJvoQbNQFKPe0dqUYjDhSJ2CvefpuIvWUrHrTVx5K3HlLseVuxxrzGCiBlyKPXlioyN/VFWlbMtzeCt2UbblOcISRob8hlV9L/oXe949B0tkFXs+uIXB176pdyQhhOgQNC1ci4uLeeSRR3j33XfJzc1tUVtVVUP+l43oGryVWVgjwWBJ0TuKEKILUNUgFbveoHTz/0ANYArvTsJJf8cWf5ze0dqVoiiEJZxAWMIJeCv3UpHxJtV7P8NTto3CVXdhCu9BVL+LiUg7G4O5drlKTcEqPKWbiep3CRUZb1FTsIrw7qN1fieHZ4mIIvbYe6ja81dsMTvZ+8nzsgmgEEI0g2ZrXLdt28aECRMoLi5u9ZRfRVGaNTor2l9XWuO67fmzscXmgOly+kz/s95xhBCdmN9dTNHP91Pz6zRXe8ok4o+/G6MlUudkoSHgLqVi93tUZr5H0FsO1E4xjugznci+F1K46m8AJE2cT+53V9Xf7wgfhO98/a+Yw74h4DGReMqrRKYN1DuSEEKENM0K1+HDh7Nx40YURakvXC0WC9HR0dhstiP+EikoKMDj8UjhGqK6UuG689VTMdvd2Hs9QuLIyXrHEUJ0Uq68HyhcM5egpwzFaCXuuNuJSDu7QxRd7S0YcFO973Mqdr6Br3r/r48agCDdxzxNePfRuPJ/In/ljfVfh7qA18POV8/BFlOEu7QHA6/+EIPJrHcsIYQIWZoUrmvWrOGkk05CURS6devGvffey7Rp0+jdu3ez+5g6dSpff/21FK4hqqsUrp6yYnK+mQJA8mlfYo2Rda5CCG2pAS+lm/9LRcZbAFii+pEw6mEskWk6Jwt9qhrElfc95TsX4CnZiCV6IMmTXqv/0LyjjbqWZ26maPU1GC0BAr4z6XfJXL0jCSFEyNJkV+G1a9cCYDQaWbJkCddff32LilYhQkV5xnoAfE6bFK1CCM15q/aR892s+qI1Mv1Ckia9KkVrMymKAXvSWGIGXQVqkNhjrqsvUBVFIWbItXhKN+PKWapz0uaJTh+KMexiABTDZxRv+F7nREIIEbo0KVzLy8sBOOGEExg6dGir+rj00ku57777tIgjRKs5c7YDEPDE6ZxECNGZqKpK1d5PyFlyKd7ynRgsUSSe8m/ih9+OwWjVO16HoqoqZVtfwBo7lLDEUQ2eC0schSVmMAWr7qZo3WP4qg/olLL5ep/zZ9ylfTAYVYp+uR+fs0rvSEIIEZI0KVyTkpIa/G9rzJw5k/vvv1+LOEK0mrd8NwCKsfU/y0IIcbDas1nvoWjNA6iBGmzdTiDlDwuxJ43VO1qHVLeTcMyQaxtNB1YUhdhjrgPVR9Xudzjwxbnkf/8Xagp+Dtmz4g0GA73P+Tc+lxVrVAWZb/9V70hCCBGSNClc69a35ufna9GdELoJenMAMEf11jeIEKJTcJdsIXvJTJwHvqo9m/WYP9Fj3P8whSXoHa1DOtxoa52wxFFYY4/BYI4EVFx5K8lb8Seyv76Iyj2LCQbc7Ru6GcITU7Cn1O5ib41cTe6yD3ROJIQQoUeTwnXAgAGcccYZ/Pzzz+zfv//IDZpw5513MmnSJC3iCNFqBnMRAOHdB+mcRAjRkalqkPIdr5K79Gr8zhxM4UkkTXiRmEFXoShGveN1WIcbba1Tu9Z1DkFfJfHH30Nk3/NRjGH4KndTvPbv7P90GqWb/4e/prCd0x9eyqQL8VScAEDV3idwFebqnEgIIUKLZsfhFBUVcfLJJxMTE8MXX3xBXFzL1gjKrsKhrSvsKuxzVrH/swkoCiSe+gH2Hr30jiSE6ID8NUW1Z7MW/gyAvedkuh1/NwazQ+dkHVvdrsEBTxmJox8BDrdrsErBT3/DaI0haeJ8gr5qqrI+ojLzHfyuvNpLFCP2lNOI6ncxtrhj2uMtHJG3upLd75yDNbISd2k/Bs5+E4NBkzEGIYTo8ExaddStWzdWrVrFzTffTP/+/fm///s/pk6dyqBBg4iOjsZolE+YRWiryNyEooDfbSYssafecYQQHZAr73sKf55L0FuOYrQRN/x2Inr/sUMczRLygj78NYUEagrI+eayZjVRgz4I+jBaIogecClR/S7ClbuCioyFuIvX4zzwFc4DX2GNPYaofhdjT5mEYtDsT6MWszgiiR9+H5W7bscWm8G+j58h7ZwbdMsjhBChRLMR14MLU1VVW/1LWkZcQ1NXGHHd+8nzBN0v4i5LYPC1n+sdRwjRgagBLyWbn6YyYyEAluj+tWezRvTWN1gn43flE/CUN/t6ozUGU3hik895ynZQkfE21Qe+gqCv9vqwBCL7ziCyz7kYrdEaJG6dXW/cg8n6JQGvicRRLxPZd4huWYQQIlRoVrjWTWU5uGBtadeKokjhGqK6QuG687XbMYcvxV0+jMGzX9Y7jhCig/BW7qVw9V14y3cBENnvYuKG3ohitOicTDSH311C1e4PqNz9AQFPCQCKwYqj11Si+l2EJSq93TMF/T52zD8HW0wB7rJEBl61GIPJ3O45hBAilGi+cEJV1fqbEB1JwJ0NgNnRW98gQogOQVVVKrMWk/PNpXjLd2GwRNP91CeJP+5WKVo7EJMtjpgh15I67RO6nTgXS/RA1KCHqqzFZH99EXnL/4QzdwWqGmy3TAaTmZRJ/yTgNWGLKSDz7Xnt9tpCCBGqNF3IcdZZZ/HUU0+1qu0VV1zBypUrtYwjRIsoxtodJsMS+uucRAgR6gLeKorXPYzzwBIAwhJG0m3kPExh8TonE62lGC1E9D4TR69peEo2UrHrLZw5y6gp/Jmawp8x2VOI6ncREb3PwmBu+1lHkX2HULL5UlTfqxhNX1K0bhLdRoxv89cVQohQpWnharfb6dWrdTuxhoWFaRlFiBYJeD2YHZUARKYN1TmNECKUuYs3Urj6ntrdaRUjscdcR9SAy1EU2f21M1AUBVv8cdjij8PnzKMy812qshbjd2ZTsuFxSrc8S0TaH4lKvxCzI6VNs/T645/Y8eIP2GIzKFn/AFH9R2BxRLbpawohRKgKmd+yCQkJpKam6h1DdFGVu7dhMKoEfEYcvWTEVQjRmKoGKNv+MrnLrsXvysNkTyZpwstED7xSitZOymzvQdywm0g98zPiR/wVc0QvVL+TyoyFHPhiOvk/3EpN4S9ttjzKYDDQe/q/8DltWCKr2P32HW3yOkII0RFotjlTRUUFFotFRk47qc6+OdP+r17HX/kUnvJYBs3+Wu84QogQ468ppHD1vbiL1gJg73k63Y7/m5zN2sWoapCaglVU7FpITcFP9Y9bovoR2e8iHKlTMBitmr9uzrL38RQ9WvtasbeTMulCzV9DCCFCnWaFq+jcOnvhWnf0gLtsEIOvXaB3HCFECHHmLqdozTyC3goUYxjxI+7E0WuanM3axXkrs6jMfIeqvZ+iBtwAGCzRRPY9l8i+52MK66bp621/+Xqskavxuaz0nPIO4YltO01ZCCFCjRSuolk6e+G67YXLscVsw++ZQv9L/653HCFECAgGPJRu+g+Vme8CYIkeSMKoh7BEtG4vB9E5BbyVVGUtpjLzXfyu/NoHFSOOnpOJ7HcRtthjNHkdn7OKzIXnYI2qwF3ah4Gz364/ilAIIboC+RdPCEBRCgCwxffTOYkQIhR4K/eQ++0V9UVrVP9LSZ44X4pW0YjREkn0gMvpOXUxCaMfxRZ/HKgBqvd/Se63V5Lz3VVUH/gaNeg/Yl+ugtVkf30JroLVjZ4z2yPodsIDBAMKttg97F3culMchBCio9J0V2EhOqJgwI8pvBwARy9tPhkXQnRMqqpSlbWYkg2PowY8GK2xdBs5l/DuJ+sdTYQ4xWDCkXIajpTT8JRtpyJjIdX7v8ZTsonCkk0YwxKJSj+fiLRzMFqjG7VXVZWyLc/hrdhF2ZbnCEsY2Wg6evxxp1K2bRoYPyVQs5DyzElEp8tO+EKIrkGmCotm6YhThefOnYvRaOTee+897HWVWTu4/6+TCARUnngrC6NF+401hBChL+CtpHjtQzizvwUgLHEU3UbOxWSTs1lF6/jdxVTu/oCq3R8Q8JQCoBitOHqdQVT6RVii+tZf68r/ifyVNxLV7xIqMt6i+5inCe8+ulGfQb+PHS+fiy02D3dZNwZcuVh+bwkhugSZKiw6LaPRyH333ceDDz542OsenHc/T76bC36b/PIXootyF28gZ8kltUWrYiT22JvoPuYpKVrFUTHZ4okdMoee0z6h24lzsUT3Rw14qNqziOyvLyRv+Z9w5X1PMBigbOsLWGOHEjvsL1hjh1K29YUmj9kxmMz0PP1xAh4TtpgiMt+Z2/5vTAghdCBThUWnVTfSet999zX4+mAPPvggj7/6LjdfkMTsiSPbNZ8Qov24ClZTuvE/xA67ifDEk+ofV9UA5dvnU7b1RSCIyZ5CwqiHsMUO0S+s6HQMRisRvc/E0Wsa7uL1VGQsxJWznJrCn6kp/BmjrRsBdxHdxzyNoijEDLmW/JU3UlOwqslR14jeAyjedAWq52VMlm8oXHMaCSdO0uGdCSFE+5HCVXRqhyteH3zwQe677z5u+OMIbpyh4HP11CWjEKJtHWrtoN+VT+Hq+3AXrwPA0esM4officEc+kshRMekKAph3UYQ1m0EPmculZnvUrlnEQFPCZaYwYQljgJqp6nXjbqGJY5q8uilXmfOYcdL32OL2Unppr8TPfAELBFR7f2WhBCi3chUYdHp3XvvvcybN4/77ruPefPm4fF46ovWefPmcd207gBYY9N1TiqEaAs1BavwlG4mqt8leEo3U1OwCmfOUrK/vgR38ToUUzjdRs4jYeQ8KVpFuzHbk4gbdjMJIx8ANUjsMdfVF6h1o651P69NMRgM9Dnv3/icYVgiq9j9zm3tGV8IIdpdszZn2rhxI3/5y1/qv77kkku45ppr2jSYCC0dcXOm35s5cyZvvfUWRqORQCDAvHnzuPvuu8l88xRMNh+R/Z4k/rhT9Y4phNCQqqrkfncVAEkT55P73VX4XXkE3MUAWGMGkzDqIcwOmXEh2t/vfz4PHlk93HMHy12xGHdB7fnj5ui/0HPyzDZOLYQQ+mjWiOuiRYtYtmwZy5YtY/ny5RQWFrZ1LiE0d8EFFwAQCASwWCzce++91BTmYLL5UFWI6jdM54RCCK3VjbbGDLm2fhSrrmiNGnA5SRNflqJV6Ob3P58Ha86oK0DS2HPwVtUe11ST9z+cefvaNLMQQuilWYXrN998g6IoXH311ZSXl3PXXXc1umbFihVs2bJF84BCaGXDhg31971eLw8++CAVGesB8FXbMdsjdEomhGgLdWtbrbHHNFw7GDMYc0QasUNvRDGYdU4puipVVet3Eq77+fy92p/XIZRtfa7JHYbrpF/8KJ6KaExhXvZ9fCvBYLCtYgshhG6aVbgeOHCAxMREnnvuOSIimv7jfvz48dx5552tDrJlyxZWrFjR6vZCHM6DDz7I3LlzGTt2LACp3ZNr17jOfQQAX3U03gqXnhGFEBrxu/KpyHyPnG8vx1O2lZghcxquHTzmOnxVWYcdxRKirR1utLVO7c/r/+Ep3Yor79B/I5nCwkk46e8E/Qq22L1kffjvtoothBC6adauwoWFhYwePRqj0XjY65qxXPaQbr/9dr7++msCgUCr+xCiKXUbMf3thlsZaUxjxYoV7M/PYVr3E3n+u1WExSdxfs9efDLlIVKnDif9/FHEDErRO7YQoplUNYindBuuvBW4clfirciofUIxNNiptU5zdmwVoi3Vjbaa7CkYrdF4ynYc8lqjNRqTPYnCn+eSOu1TjIfYQCxu6ChKt/wR+Iig9z3KdkwiZuDwNnoHQgjR/ppVuFqtVoqLi9s6ixCaqyta50y8kOE/mfAbcxgW2ZuNlXuxYOK6P/TlyXd3Uz48kzMM/dj32Tr2fvwLaeecyIi/noPBdPgPa4QQ+gj6XdQUrMaVuxJX3g8EPCUHPWvAHNELX1VWg51a6zTnnEwh2lTQh7+mkEBNATnfXNa8NoqJvBU3kDT2aQxmR5OX9L3gb+x46RdssTnkrfgbkX0+wmixahhcCCH006zCtW/fvmzYsIHvvvuOiRMntnUmITRRV7RePWo6kyp7A6AGgkyKH8bGyr0sK9nM8vOOwRpdw5PvbsKVFMmMHqcAkPXRGmqKqzjl8cukeBUiRPhd+ThzV+LKW4m78BfUoLf+OcVkJ7z7aMKTxhCWeDIFP9xy5LWDMuoqdKIYLSRPfJmAp7xZ13sqMilZ/0+8pZvJW3E93cc8jdES2eg6g9FEz6n/Im/5ZdhiislceA8DrnhM4/RCCKGPZhWuU6dOZf369UybNo2LLrqIsWPHkpSURFhYWIPrSktLW71OtbS0tFXthDiUQCDAnIkX1hatB81iPyGqH1GmcMp81fyQUcSNM3qQ91NvAv6DLlIh/4cdrHt0MSfcc167ZxdCHGYK8K9M9mTCe4ypLVa7jajfaMmV/xOe0s10H/P04dcOyqir0JEpvDum8O7NutYaMxBrVDp5K67HU7qVvOXX0WPs/zBaoxtdG5GaTmns1QRcz2GyLaVg9dcknvQHjdMLIUT7a9Y5rsXFxQwZMoSioqJD/hGgqupRfWJd117WuIamjniOa9n2bL657L9NPvdG9lI+LviZ8cMjefGO/qx/fCLQ9M/vaQtukDWvQrST2inAP+PKXdHkFGBr3FDsSWMITxqLOSKt0e+durMvA54yEkc/wqH+f/3r1RT89DeM1pjDnpMpRKjwVmSSu/w6gp4yzJF96THuGUy2uCav3fbC5dhituGtspN23iKsUbHtnFYIIbTVrMIVYO3atZx77rkcOHCg7cJI4RqyOmLhuuaB99j3+XrUQONjAari93D1V++hKLDif0NxfncSlVmNf/krRgO9po3gxPtmtEdkIbqk5k4BDu9+SpMjTAdTA172fzGdQE1Bs1/fGJZI6tRFKEZLa9+CEO3GW5lF3vLrCLiLMUf0ose4ZzGFJTS6zlNWzN7F52J2uHCXH8vg2fN1SCuEENppduEKUFNTw1tvvcXXX39NRkYGlZWV9YXmvn37sNlsJCYmtipIQUEBHo9HCtcQ1dEKV2+Fi0+mPETQ19TPk8rAy3/m2hfWsmprFTfO6MHsMQPY8fpImhqdMZiNnPXV3Vgiw9s8txBdwW9TgFf+OgV4V4PnDzUFuLn8rvxmrx0EMFpjMIW37neXEHrwVR8gd9n/EagpwGRPIWn8c01OO8774VNcOXNRFDBF3EjqlCt0SCuEENpoUeF6OAaDgSlTpvD555+3qv3UqVPlOJwQ1tEK1z0frmbtI4sarG2tE5lWQr8L1vPJD6Xc/J8suseZWfG/oex5f0STo64ocPxd59Jn+si2Dy5EJ3W0U4CFEA35nLnkLb8OvzMHU3gPeox7FrOj8bKWHa/8BYtjJf4aC0mT3sSRnKZDWiGEOHrN2pxJiI7GVViBYjSg+n8/TVglaUwmahD+MDKamAgj+SU+lq+r5KQxmVRmxfL7UVfFaKCmsKLdsgvRWWg5BVgI0ZDZnkTS+BfIW34dvur95C67lh7jnsES0bvBdf0ueZhdr/8Ra3QZ+z+9lYGz38dgMOgTWgghjoJm/3Klpqa2epowQEJCAqmpqVrFEV2c3+WlqWm/kWml2HtUoRjAajZw7rjaEdZ3vivC3qOKyLSmdrdW8Dk9bRtYiBDkKlhN9teX4CpY3azrVTWIu2QLpVueJfvrS9j/2ZmUrP8HNfk/oga9mOzJRKZfRPex/6P32d+QOPpRInpNk6JViFYyhSfSY/wLmCP7EKgpJG/pHLwVuxtcY7SGkXjywwT9Bmyx+9nzvhyPI4TomDQbcd27d+9RtX/ttde0CSIEYAq30Hie8G+jrcqvH9lcMDGelz8tZOm6CvKKvSQ1OeqqYrbLAe6ia1FVlbItz+Gt2EXZlucISxjZ5PTdoL+GmoLVMgVYCJ2YwuJJGv88ecuvx1uxi9xlc+gx7n9YowfUXxM75ERKt0wHPoDAB5Rum0Ts4BP0Cy2EEK0gc0VEpxSeENVoN+GDR1vrpKeEceIgB4EgfLC8pMlRVzUQJCwhqj1iCxEyagpW4SndTFS/S/CUbqamYFX9c35XPhWZ75G38s/s+2gSBT/eRtXejwl4SlBMduwpp9HtxLn0+uPXJE98meiBV2KJ7CNFqxBtxGiNocf4Z7HEDCLoLSdv2XW4S7c2uKbPjNtxl/bEYApS8MNdBDw1OqUVQojW0WxzpsPx+XyUlNR+Ch8XF4fZ3LIdIoX+OtrmTI13Fa7dSTg8sWHhCrBoRQm3/Xcvyd0sLP3PMbiLIhvsMCy7Couupu4sVICkifPJ/e4qgn4X4UnjqMn7XvNdgIUQ2gj6qslb+Wc8JZtQTHZ6jHkKW/yw+uers/eQu3QmJpsPr3MsA6/8t45phRCiZdpsxHXp0qVcccUVpKWlYbPZSE5OJjk5GZvNRlpaGldeeSXLli1rq5cXXZwlKpzUKcehGGt/xJsaba0zdVQMkXYjOUVefthS2WDUVTEaSJ06XIpW0aXUjbbGDLkWRVGIGXItvsrdVOyY/2vRasAaN4zYoTeQcvq79Jy6mPjhtxGeeJIUrULoyGB20GPM09jiR6D6neStuIGaorX1zztS+mCLnwOAOXwFeT+27iQIIYTQg+aF6/79+xk7diynnXYab7zxBvv27UNV1Qa3ffv2sWDBAiZNmsT48eM5cOCA1jGEIP2C0b9OF/5tbWtTbBYD54yJBeCdb4tRg5A0JhNQUQNB0s8f1W6ZhdCbqqqUbX0Ba+xQwhJrf/bDEkdhiRmMwRJN/An3yxRgIUKYwWyn+5inCEs8CTVQQ/7KP+PK/22qf+rUK3GXH4OiQMXOR/GUFeuYVgghmk/TwnXjxo0MHz6cH374ob5IPZS651esWMHw4cPZtGmTllGEIGZQCmnnnIhiUrFEepocba1z0WndAPjml3JKKn1YIjwoJpW0c04kZlDjc/GE6Kx+P9oKoCgKscdcR9BbjiksXnYBFiLEGUw2Ek/5N2HdT0ENeMj/4S84c1fWP993xr/wVtmxOFzsfu9WHZMKIUTzabbGtbi4mGHDhpGfn19fsKalpXHssceSmpraYH3k/v372bRpE1lZWfXtk5OT2bBhA3FxcVrEERrraGtc6wT9AX64bQElmzZgCvMe9trbfvyQneUFXDFgFOf0OIm4YcdxyuOXYTAZ2ymtEPr6/drWg0dSD/ecECI0qUEfBavuwpWzFBQTiaMexp4yEYD8n77Euf8eFAMY7dfR64yrdU4rhBCHp1nh+uc//5n//ve/AFx++eXccccdDB48+LBttm3bxj/+8Q8WLFiAoijccMMN/Oc//9EijtBYRy1cobZ4XffoYrIWr0ExGhrtNlxnafEmnt33BYnWaD6+6wVOuOtcKVpFl+LK/4n8lTfSfczThHcf3eLnhRChRw36Kfz5XpwHloBiJGHkPByppwOw89XbMNuX4XebSRq/AEfPdJ3TCiHEoWlSuHo8HuLi4qipqeGll15i1qxZLWr/yiuvcPXVVxMeHk5JSQlWq5yZGWo6cuFap2x7NpnvrWL/F+sJ+gO/btykULeW1asEmLPpfzg9NXzzzTdMmjRJ78hCtJvmjKjKqKsQHZOqBihaM4/qfZ8BBrqdeB8Rvc8k4PWw87U/YosuwV2awsBr3sdgNOkdVwghmqTJGteVK1ficrmYPn16i4tWgFmzZjF9+nRqampYsWKFFpGEaCRmUAon3jeDs768m+PvOpdBsyaQfsFoBs2awPF3ncv53zzA5VddCcCLL76ob1gh2llTa1t/r26H4d+f6yqECG2KYqTbifcTkTYdCFK05gEq93yI0WKlx6mPEvQZsMVms+e9f+gdVQghDkmTj9V2796Noiicf/75re7jggsuYNGiRezevZvJkydrEUuIJlmiwukzfWSTz82ePZtnn32WDz/8kKKiIrp169bO6YRof3U7CZvsKRit0XjKdhzyWqM1GpM9hbKtLxCWOEpGXYXoIBTFQPzxd6EYLVRmvkPx2odRA15iBl1E6ZbzgXdA/YiSzZOIGyq76QshQo8mhWtZWRkASUlJre6jrm15ebkWkYRoleHDh3PCCSfwyy+/8Prrr3PrrbLbougCgj78NYUEagrI+eayZjVRgz4I+sBoaeNwQgitKIpC3HG3oRgsVOxaQMmGx1GDXtLOu5UdL67CFruPwlX3EpX+EaYwOb9cCBFaNClco6KiACgqKmp1H3VtIyMjtYgkRKvNnj2bX375hRdffJFbbrlFRpREp6cYLSRPfJnSLc9Qve9zzFH96HbCfYf92TdaY1CkaBWiw1EUhdhj/4xitFC+/WVKNz2FGvDS68x/k/PtxVijy8h8+28MnCWbZQohQosmhWuvXr1QVZVPPvmEc889t1V9fPTRRyiKQu/evbWIJESrXXzxxdxyyy3s3LmTlStXMnbsWL0jCdHmFFMYzpxlAMQNvR5b7CB9Awkh2kzd2cyKwUzZ1uco2/oc0YO82BL+D3/VU5jtP5C78mOSxvwRb4WL7G834yqswO/yYgq3EJ4QRcqkoViiZFRWCNF+NNlV2Ol0EhcXRyAQ4JNPPmHKlCktav/FF19w1llnYTabKSkpITxc/iEMNZ1hV+GWmD17Ni+99BIzZ87kjTfe0DuOEG2ubNuLlG19HktUf5InvykzDYToIsp3LqB0U+3oalT/Syn4eTO26I14q8OoyLqa7CUZTe7EbzAZSZ06nPTzRxEzKEXX9yCE6Bo02VXYbrdzwQUXEAgEOPvss7n//vubtVa1vLyc++67j3POOQdVVbnoooukaBUh4dprrwXg/fffp7S0VOc0QrStoN9FRcbbAEQPmiVFqxBdSPSAy4gbfjsAFbveIHZIKp7ycCyOGgzG9wn6AqCC6g+i+gOo/iCoEPQF2PfZOr657L/88vcPCPoDOr8TIURnp8mIK8CBAwc49thjqaysBMBkMnHyySdz7LHHkpqa2mC0bv/+/WzatIkff/wRv9+PqqpERUWxefNmUlLkU7tQ1NVGXFVVZfjw4WzcuJEnn3ySm266Se9IQrSZ8l1vULrxScyOVFKmvIeiGPWOJIRoZ5V7FlG89mFApSwjnui+JSgGlT0fH0PZ9u6Hb6xA91MGcsrjl2Ewyb8fQoi2oVnhCvDdd98xbdo0vF4vqqoe8VP7upe2WCx8+eWXjB8/XqsoQmNdrXAFeOaZZ7j++usZMmQImzdvllEo0SmpAS/7Pz+bgLuI+BPuITLtHL0jCSF0sumpudgTP0UxgKvQTniCE7/bxLb5o7DFOul52i4OfNOfqn1xjRsrkHb2iZxwz3ntnlsI0TVoMlW4zsSJE/n+++/p06cP8Fth2pS65/r168ePP/4oRasIOTNnziQsLIytW7fy008/6R1HiDZRte8zAu4ijGGJRPSapnccIYROyrZns/N1N1mfHIMaVGqL1hozJpuf3tO2kDwuk7B4J8njMoEm/r5TIWvxGsq2Z7d7diFE16Bp4Qpw/PHHs337dubPn8/48eOxWq2oqtrgZrVaGT9+PK+++ipbt25lxIgRWscQ4qhFRUVx4YUXAvDiiy/qnEYI7alBP+U7XgMgesClKAazzomEEHrJfPcnFKOBsh3d2bN4KMGAginMhxqEyF7l2HtUAWDvUUVkWtN7PyhGA5nvrWrP2EKILkTTqcJN8fl87N+/n5KSEgDi4uJITU3FbJY/kDqSrjhVGODHH3/klFNOISwsjNzcXKKjo/WOJIRmqvd/SeHqezBYokmd9gkGU5jekYQQOvBWuPhkykO1GzH9KrJPMX2nb8JgCgKgqqAooAbBVRDBjtdHUrvLcEMGs5GzvrobS6RstimE0JbmI66/Zzab6du3LyNHjmTkyJH07dtXilbRYYwePZohQ4ZQU1PDW2+9pXccITSjqkHKtr8CQFT/i6VoFaILy/52c6NdgSv3xJP5/jCC/tqv67Z5UAyHH3UN+gNkf7ulLeMKIbqoNi9chejIFEVh9uzZALzwwguHXbctREfiyvseX+VuFJOdyL4X6B1HCKEjV2HFr+e0NlS1LxZPeTi//9WnBiFpTNNrXRWjgZrCijZKKoToyqRwFeIILrvsMqxWKxs3buSXX37RO44QR01VVcq3zwcgKv18jJYInRMJIfTkd3lpatpvZFopYfEufr+p/uFHXRV8Tk+b5BRCdG1SuApxBLGxscyYMQOoHXUVoqNzF63FU7oFxWAlst/FescRQujMFG6h8eipStKYTNRg021UFZLH72qyndlu1T6kEKLLk8JViGa49tprAVi4cCFVVVU6pxHi6NSNtkak/RGTrYnzGIUQXUp4QhRqoGGFGplWir1HFcoh/lJUFAhPcNJt+IEGj6uBIGEJUW0VVQjRhUnhKkQzjBkzhgEDBuB0Olm4cKHecYRoNXfpFmoKfwbFSNSAy/WOI4QIASmThmIwGQ965PCjrQfredouInoX139tMBlJmXSM9iGFEF2eFK5CNMPBmzTJma6iIyvf/ioAjtSpmO099A0jhAgJlqhwUqccV79B05FGWw+mGKDfjA3EDs5DMRpInTpcjsIRQrQJKVyFaKbLL78cs9nML7/8wvr16/WOI0SLeSv34MpdBihED7xC7zhCiBCSfsHoX6cLN3+0tY5ihLSztpJw/B76nHdSm2UUQnRtUrgK0UzdunXj3HPPBWTUVXRM5TteBcCePAFLZJq+YYQQISVmUApp55yIYlKxRHqaNdr6eykTMilc9QjBgF/7gEKILk9R5WBK0QxOpxOHwwFAdXU1drtd50T6+PbbbznttNOIiIggLy+vy34fRMfjc+Zw4ItzQQ2QfNoCrDGD9I4khAgxQX+AH25bQMmmDZjCvM1qYw7zkfKH7YTFuOsfc5f2o/9lL2IKd7RVVCFEFyQjrkK0wIQJE+jbty9VVVW8++67escRotkqdi4ANUBY4mgpWoUQTTKYjJzy+GWkTBxDTUEk7uJoagoiD3lzF0dTuTcOd8m1mCPTgdpjcmyxGexacDHu0kKd35EQojORwlWIFjAYDFxzzTWAnOkqOg5/TTFVWR8DED1ols5phBChzGAycsI953HaghvoNW0EBrMRFFBMBhSTEcVkAAUMZiO9zhzBaQtu4Pi/XU7S+OewRA9EUeqK1zyyPryE6gOZer8lIUQnIVOFRbPIVOHf5Ofn07NnT/x+P5s2bWLo0KF6RxLisEo2/YeKnQuwxg0jacJLKIqidyQhRAfhrXCR/d0Wagor8Dk9mO1WwhKiSJl0TKPdgwPeKvJX3oindAuqWnvWq686jG4nPUHs4BN0egdCiM6izQvXqqoqsrOzKS8vZ/To0W35UqINSeHa0IwZM/jggw+48cYbeeqpp/SOI8QhBbwV7P/sLFS/i+6nPkl4j1P1jiSE6MSCPif539+Mu3h9ffHqd5uJTL+f7qOn6B1PCNGBtclU4X379vHXv/6VIUOGEBMTwzHHHMOYMWMaXHPDDTdw6aWXsnbt2raIIESbqjvTdcGCBdTU1OicRohDq8x8F9XvwhLVj7Dup+gdRwjRyRnMdrqPeQpbwon104ZNNh/Ve+9j/1ev6x1PCNGBaV64/uMf/2DAgAE89thj7Nixg2AwiKqq/H5gt6KigrfeeouRI0cyZ84cPB6P1lGEaDOTJ0+mV69elJeX8/777+sdR4gmBf0uKjLeBmrXtsoUYSFEezCYwuh+6hOEdT+5vng1mIL4yp9i93uP6R1PCNFBaVq43nzzzdx11134fL4mi9WDnX766QwYMABVVXnppZeYMWOGllGEaFMHb9IkZ7qKUFW550OC3gpMjp7YUybpHUcI0YUYjDa6n/w44Uljfy1eFRQDKLzDztduJxgM6h1RCNHBaLbG9aOPPmL69Om1nSoKY8eO5eSTTyYpKYnnn3+erVu3EggEGrVbuHAh1113HVVVVTz11FNcf/31WsQRGpM1ro3l5OTQq1cvAoEA27ZtY9AgOWJEhA414GX/52cTcBcRf8I9RKado3ckIUQXpAb9FK6+B2f2N/VrXgHc5ccy4IpnMVqs+gYUQnQYmo243nfffQAcd9xxbNmyhaVLl/LQQw9x/fXXk5ycfMh2F198MZ999hlGo5F//vOfWsURos0lJyczbdo0AF566SWd0wjRUNW+zwi4izCGJRLRa5recYQQXZRiMJFw0t9xpE6tHXnl1+Nyojex85VL8FZV6B1RCNFBaFK4ZmVlsXnzZrp37853333X4pGnU045hYsuuojs7GzWrVunRSQh2sW1114LwGuvvSbrtEXIUIN+yne8BkD0gEtRDGadEwkhujLFYKLbyLlEpJ2NQu2oazCgYIvdR+bCi3AV5ugdUQjRAWhSuP70008AXH/99URHR7eqj7POOgtVVdmwYYMWkYRoF1OmTCElJYWSkhIWLVqkdxwhAHBmf4PfmY3BEk2ETBEWQoQARTESf/zdRPY9HwCDUSXoM2KLKWL/J5dSuXurzgmFEKFOk8K1sLAQRVEYOXJkq/tISkoCoLi4WItIQrQLo9HI1VdfDcALL7ygcxohQFWDlG1/BYCofhdhMIXpnEgIIWopioG44XcQ1e8SAAzmAAGPGUtkFXnfX0vR+pU6JxRChDJNClev1wuAxWJpdR8VFbVrHIxGoxaRhGg3V111FYqisHTpUjIyMvSOI7o4V973+Cp3o5jsRKZfoHccIYRoQFEUYof9heiBswAwWn34a2yYwz2Ub7ud3OUf6pxQCBGqNClcExISUFWVHTt2tLqPH3/8EUVRSEhI0CKSEO0mNTWVqVOnArJJk9CXqqqUb58PQGTfGRgtkTonEkKIxhRFIeaYPxEzZA4ApjA3/hoHRosfV94j7P3keZ0TCiFCkSaF63HHHQfAs88+26pzuUpKSuqnWZ544olaRBKiXc2ePRuAV199tX4GghDtzV20Fk/pFhSDlaj+l+gdRwghDklRFGIGzyZ26I0AmMKq8dfE1K59db9IxsIbyf76ElwFq3VOKoQIFZoVrr169WLz5s3MnDkTl8vV7La5ubmcccYZFBcX079/fwYOHKhFJCHa1bRp0+jRoweFhYV8/PHHescRXVTdaGtE2h8x2eJ0TiOEEEcWPfAK4o67DQBTWBl+byIARtNPeCt2Ubr5GVRV1TOiECJEaHaO6/3334+qqrz77rsMGDCAhx9+mE2bNjU5AlteXs7SpUv585//zIABA1izZg2KojB37lyt4gjRrsxmM7Nm1a7XefHFF3VOI7oid+kWagp/BsVI1IDL9Y4jhBDNFtXvIuJH/A0Ak6WAYPC3ZWPesq1UH1iuVzQhRAhRVI0+xlJVlRkzZrBo0SIURal/3GQyYTAY8Hq9JCYmUl1djdPpbNAO4OKLL+bNN9/UIopoA06nE4fDAUB1dTV2u13nRKEnKyuLPn36ALBnzx7S0tJ0TiS6kvwfbsOVuwxHrzNJGDlX7zhCCNFiVXs/oWjNA6AYMIb1IFCTD2qAoN9MyukfY4vtpndEIYSONBtxVRSFt956i3PPPRdVVetvPp+vfs1ffn4+1dXVDZ4HuPDCC3n11Ve1iiKELtLS0pg8eTIAL7/8ss5pRFfirdyDK3cZoBA98Aq94wghRKtE9D6LqAFXgBqk2/F/pfuY/6AYrRhMPvZ9fD7V2Xv0jiiE0JFmhSuA1Wrl/fff5+WXX6Zv3771jx9cpB4sPT2d1157jYULF2I2m7WMIoQurr32WgDmz5+P3+/XOY3oKsp3vAqAPXkClkgZ6RdCdEyqquIuWoc19hjCEkcRnjiKHuNfAsWE2V5N9pIrKdu+Xu+YQgidaDZV+PdUVWXlypUsX76cnTt3UlpaCkBcXBwDBgxg3LhxnHrqqQ2mFYvQJVOFm8fr9ZKSkkJRURGLFy/m7LPP1juS6OR8zhwOfHEuqAGST1uANWaQ3pGEEKJVXPk/kb/yRrqPeZrw7qPrH6/M+oTiXx4AwO82E9X/ARJP+oNeMYUQOmmzwlV0LlK4Nt+dd97JP//5T8444ww+++wzveOITq543aNU7n6fsMRR9Bj7X73jCCFEq6iqSu53VwGQNHF+g4ENVVXJXjITb1kGikEl6DNg7XYTPSfP1CuuEEIHmk4VFkLANddcA8CXX37J/v37dU4jOjN/TTFVWbXHL0UPmqVzGiGEaL2aglV4SjcTM+TaRrPxFEUh7tgbUQwqatCAwRzEW/oEez58Qqe0Qgg9aFa4zps3j7feekur7oTosPr168eECRMIBoPMnz9f7ziiE6vIeBM16MUadyy2+BF6xxFCiFZRVZWyrS9gjR1KWOKoJq8JSxyFNWYwiqF2oqBiAAJvsvP1vzZ59KIQovPRrHCdO3cub7zxhlbdCdGhzZ49G6jdXTgQCOicRnRGAW8Flbs/ACBm0FWyX4AQosM63GhrHUVRiDnmOqDhCjdz2DfsePlaAl5POyQVQuhJpgoL0QamT59OXFwc2dnZfPnll3rHEZ1QZea7qH4Xlqh+hHU/Re84QgjRKnWjrSZ7CkZrNJ6yHYe8Ga3RmOwpmCN6oZijfm0PtugN7HzlUrzVlTq/GyFEW9JscyaDwUB6ejqXXnppq/swmUzExMTQu3dvTjnlFCIjI7WIJjQgmzO13C233MITTzzB2WefzeLFi/WOIzqRoN/F/s/OIuitIGHUwzh6yu6aQoiOSQ142f/FdAI1Bc1uYwxLJGnCixSve5Sa/B/rH/eUx9Hr7FcIT0hqi6hCCJ1pWrhqOVXNaDRywQUX8OCDD5KWJucS6k0K15bbvn07gwcPxmg0sn//fpKS5Bep0Eb5rjco3fgkJkdPek55H0Ux6h1JCCFaze/KJ+Apb/b1RmsMpvBEVFWlcve7lKx/Aqg9O93nCqPHmOeJ7DO4bcIKIXSjaeHaoGNF4UhdH+kaRVGIioriww8/ZPz48VrEFK0khWvrjBkzhu+//56///3v3H333XrHEZ2AGvCy//OzCbiLiD/hHiLTztE7khBC6MpbsZvc5bcQ9OQAEPQZiRr4CN1GTNQ5mRBCS5oVrldeeSWKorBu3To2b94MQGpqKoMGDSI6OhqbzQaAx+OhrKyMHTt2sG/fPgD69u3LqaeeCtQWRbm5uWzatAmn0wlATEwMa9eupXfv3lpEFa0ghWvrLFiwgMsvv5zevXuze/fuRh/wCNFSlXsWUbz2IYxhCaSe8RGKwax3JCGE0J0a8JL340O482vPT1dVsMZdTcqk63ROJoTQimaFK8Djjz/OPffcw9VXX81NN91E//79D3t9ZmYmTz75JC+88AK33norjzzySP1zbrebBQsWcOedd1JRUcGll17Ka6+9plVU0UJSuLZOTU0NSUlJlJeX89VXX/GHP8haRNF6atDPgS9n4HdmEzfsFqL6X6J3JCGECCnlmV9TsvYeFEMQVQWDeSS9z3lallQI0QloVrguXLiQyy67jHfeeYfzzjuvRW0//PBDLrjgAp555hmuvfbaBs+tWbOGU045BUVRKCkpqS+eRPuSwrX1/vznP/P0009z3nnn8f777+sdR3Rg1fu/pHD1PRgsUaRO+xSDKUzvSEIIEXI85bns/+wSjJZqANRgHL3Oeg1TeHedkwkhjoYmhWswGCQ1NZXx48e3+izXSy+9lK+//pq8vDyMxoafil1++eW8+eabfPHFFzJipRMpXFtv8+bNHHvssZhMJrKzs0lMTNQ7kuiAVDVI9tcX46vcTcyQ/yNm8DV6RxJCiJAV8HnJXDgTc1gWAKpqpNvI+4jsPU3nZEKI1tJkwd2KFSvIzc1l+vTpre5j+vTplJSUsGzZskbPTZkyBVVV2b1791GkFEIfQ4cOZdSoUfj9fl599VW944gOypX3Pb7K3SgmO5HpF+gdRwghQprRbKHfpe/g944HQFECFK+5n/wf/0bQV61vOCFEq2hSuGZkZKAoCgkJCa3uIyEh4ZDFaUpKCgDl5eWt7l8IPc2ePRuAl156iWAwqHMa0dGoqkr59vkARPadgdEiZ1wLIcSRGAwG+s98HMyXo/76q9eVs4T9X15ATdF6fcMJIVpMk8K1tLQUgNzc3Fb3Ude2rKys0XMejwcAk8nU6v6F0NOFF15IREQEmZmZTc4qEOJw3EVr8ZRuQTFYZUMmIYRooT7n/BlbtzsI+mr/7A26C8lbdi2lm/+HGvTrnE4I0VyaFK7x8fGoqspbb73V6j7efPNNFEUhPj6+0XPZ2dkAREdHt7p/IfRkt9uZOXMmAC+++KLOaURHUzfaGpH2R0y2OJ3TCCFEx5M88QIiB/wTf43l10dUyne8Qu53V+Gt2qdrNiFE82hSuI4cORKATz/9lCeeeKLF7Z944gk+/fRTAEaNGtXo+cWLF6MoCn379j26oJ2Uqqo8+eSThIWFoSgKV155pd6RRBPqdsz+8MMPKS4u1jmN6CjcpVupKfwZFCNRAy7XO44QQnRYCcePJ2H0c3irajebVFXwlG0jZ8lMKvcs4vf7lboKVpP99SW4ClbrEVcI8TuaFK5Dhw5lxIgRqKrKbbfdxhlnnME333yDz+c7ZBufz8eSJUuYOnUqt912G4qicMIJJzBkyJAG17333nt89tlnKIrCsGHDtIjbqezfv59Jkybxl7/8BbfbrXcccRjDhw/n+OOPx+v18vrrr+sdR3QQ5TteBcCROgWzvYe+YYQQooOL7ncsPc9YgLs8DkUBNQhqwE3x2oco+PE2Ap5yoHZQoGzLc3grdlG25blGRa0Qov1pdo7rmjVrYCw74gAAm4BJREFUOPXUU/H7f1srYLPZ6N+/Pz179sRut6MoCtXV1Rw4cIBdu3bVF1qqqmK1Wvnhhx8YMWIEAOvXr2fu3Ll8/vnnBINBjj32WNavl4X0B3vttdf485//TGVlZYPHr7jiCs13r5XjcLTxwgsvMGfOHAYMGMD27dtRFEXvSCKEeSv3kP3VBYBCyunvYvl/9u47vKmyfeD49yRpuveCsvcesmSKLBVwoK+vioiACgoO3OvHEtzjfVVeEVEZMhQnLlSQDbJklr1KKW3p3k2bdX5/lMaWtjRt06Zp78915WrGc55zB06Sc59n+bVwdkhCCFEnGDPTOPPlA3gExaCqXP49VtF6BBPaew4Al7Y9jn+be8k4vYoGg+bj1aCfU2MWor5zSIsrQO/evVm9ejVubm5AQTJqMBg4fPgwv/76K19//TWrV6/m119/5fDhwxgMBls5d3d3vv32W1vSCgVL7Pz8889YLBZUVeWee+5xVKguLykpidtvv52JEyeSmZnJlClT6N27t7PDEnYYO3Ys3t7enDx5ku3btzs7HFHLFba2ejW6XpJWIYRwIL1fIO0mfUVeWicKriGrWK3eWPJSuLTtcZL2zsU9qAtB3Z7CPagLaUcXSaurEE7msMQVYMyYMfz999/FxqmW9iEvfE5VVQYOHMj+/fsZPbr4gtB33nknmzZtst2mTp3qyFBd2q233sqaNWto2LAha9eu5ZNPPsHLy8vZYQk7+Pr6MnbsWKCg9VWIsphyYsm+8AcAge0nOTkaIYSoe7R6d9o/tARjznUAaDQ5mPNDAbDkJRHYaQqKohDYaQr5qZEYEnY5M1wh6j2HJq4AnTt3ZseOHezevZtnnnmGAQMGEBYWhl6vR6/XExYWxoABA3j22WfZu3cvW7dupUOHDiXqadSoEYMHD7bd/Pxk3cJCBoOBu+++myNHjjBy5EhnhyMqqHBN12+++ca2lJQQV8o4uRxUC57hfXEP6ujscIQQok7SaDS0n/gfrNY7UVXQuSdhtbihD2iPZ3hBQ0zB97C0ugrhbNW2MGrv3r2l+2o1WbBgAf3793d2GKKSevfuTbdu3Th06BArVqzgiSeecHZIopYxG5LJivoJgIAO0toqhBDVrfXdL3JhbRjGzI/RaE2oViNWUyZavb+t1fXStscxJOySsa5COInDW1xF9ZOk1bUpimJrdf3000/l6q0oIeP0SlSrEffgrniE9Ch/AyGEEFXWZOQkdJ6NAA2mzHPEbXwIc+4l4HKra2BHUg5/IL/bQjhJrUlcjxw5wtatW50dhhA1Yty4cXh6enLkyBF27ZIxM+IfFmMGmWe/AyCwwwMy87QQQtQQQ8IurMaLBPd4Aa1nGKasKGI3PoAx40xBq2vnqZgyzpC87w1JXoVwglqTuD733HMMGTLE2WEIUSMCAgK46667gIJWVyEKZZ75GtWci96/DZ4NBjg7HCGEqBdUVSXt6CLcg7rg1/IOGg1djJtfSyyGROI2PYQhaR+e4X3RB3Yk6/waLu14Gosxw9lhC1Gv1JrEVYj6ZsqUKQB89dVXZGTIj58AqzmXjNNfARDQfqK0tgohRA0xJOwiPzXSNpOwzqsBEUM+xSOkO1ZTNvFbHyPn4gaCOk8F1YohfhsX191LXvJBZ4cuRL1RLZMzWa1W9u3bx6FDh0hJSSE/P7/cbc6cOVMdoYhKyMnJses5UTX9+vWjY8eOHDt2jFWrVsmST4LMcz9gNWag82mCd5Phzg5HCCHqhcLWVp13Y7TuAeSnnbC9FtTlCVKPLCAv6W8Sd72Ef9v70Hk3xpKXjMWQQNzmhwns9AgB7SegKNIeJER1cnji+umnnzJ37lzi4uIqtJ2qqtK6UEv4+Pg4O4R6QVEUpkyZwpNPPsmiRYt45JFH5DNQj6kWIxknVwAQ0G4CiqJ1ckRCCFFPWE2YDYlYDAnE/jn+KgVVMk4tB0DjEYpXxHXkxKwj7chH5CXtI7TPK+g8gmsmZiHqIYcmrtOmTeOTTz4BsHvQuqIoMsBd1Fvjx4/nhRde4ODBg+zbt49evXo5OyThJFnRv2LJS0LrGYZvs1HODkcIIeoNRaun0dDPseSnl1nGarUS89vH6Nx3AmC4FEjjG2bhGX4tKQfexpCwi9j19xJ27at4hhVfDjI3YTephz4gqNt0vMKvrc63IkSd5rDEdfny5SxcuBCA4OBgBg4cSEBAAOvXryc+Pp7777+/WPm8vDxOnz7NgQMHUBSF4cOHExER4ahwRBVkZ2eXeC4nJ4fw8HAnRFO3BQUFceedd7Jy5UoWLVokiWs9pVrNpJ9YBkBA2/tQtHonRyRE9dl1PI6Zy3YAMOPevgzu2uSq5f/4+zzvfru3zNfHD+vI/SM62bXvW2Z9T57RYn+wV3j2zt7c2Kt5pbcXtZfOqwE6rwZXLdP2vvmc++FDVONy3ANOcWrpWFrd8zmNhnUmYddLmDLPEb9lGgEdHiSw40MoGl1BN+QjCzFmnCLtyEI8w/pI7yohKslhieurr76Koijcd999fPzxx3h5eQEwcuRI4uPjWbJkSanbRUZGMn78eC5cuMCXX37pqHBEFXh7ezs7hHpl8uTJrFy5ki+//JL33nsPX19fZ4ckaljOxT8x51xEo/fHt+Xtzg5HiGq1fn+07f66fefLTVy7tgjhhbv7ALBq43FikrIAbM+1bOBv976f+VdvzFYrR6KS+XXPOQBG92lJ5xYhV93uQmImX246cdUyon5oefsTXPwzDEPif/EIiuHc12NpevMiGg37gpSD75IVtYb045+Rl7SfsL6vYsw4S35qJP5t7iXj9CoMCbvwatDP2W9DCJfkkMT16NGjnD59mvbt27N48WK0WvvHZnXp0oUNGzbQvXt3XnzxRRYtWuSIkIRwGddddx1t27bl1KlTfPXVV0yePNnZIYkapKpW0o4XXNjzbzMWjc7TyREJUX1y8kzsOv7PHBj7TieQlpVHoK9Hmds0DPahYXDB3Au/7YmyJa7Dr2lW4f1f360gSbZYVFvi2qFpcLl1HTqbKImrsGk8/B4S94aSfnwm7gEpxPx2Pw0GzSe01ww8w3qRtO918pL3E/PHWHQegbgHdSGo21PkpUSSdnQRnuF9pdVViEpwyPRn+/btA2DSpEkVSloLBQcH8/jjj7N06VLS09MdEZIQLkNRFFuyKmu61j+58dsxZZ5F0Xnj1/ouZ4cjRLXafCgGo9mKn1dBd3iLVWXjwQtOjkqIigvrPYzQvh9jzPJG75tD4s5HSPx7Iz5Nb6Lx8BXoA9qimjIwZZ23LbET2GkK+amRGBJ2OTt8IVySQxLX5ORkFEWhW7dula6jd+/emM1mNm7c6IiQhHApEyZMwM3Njb1793Lw4EFnhyNqiKqqpB9fDIBfqzvR6v2cHJEQ1Wv9/vN46LVMu6V7keeiy96glggL8OLuwe1oUYFuyaLuC2zbjSYjvyA/PQidp5GMky8Ru/Fr3Hyb0nDIYrQeIegDO+IZ3hcAz/C+uAd1Ie3oIpmYVIhKcEjiWrhOq6dnyS5uHh4F3X+ysrLsqismJsYRIQnhUkJDQ7n99oKxjdLqWn/kJe0jP/UIikaPf9uxzg5HiGoVn5LN0egUBnRsxHVdmuDr6QbA2fh0oi5lODm6q2sY7MNDI7vStnGgs0MRtYx3w2a0vOsr8lIbo9VbyEt8h6g1/yM/+QCWvGSCOk+1dQuWVlchqsYhiWtgYMEXeWxsbInXAgICADh06NBV6yjsbmwwGBwRkhAuZ8qUKQCsWLGCnJwcJ0cjakJha6tvi9vQeVx9chghXF1hy+rQa5riptMwqEvjIq+dd1JUVzfixW94++s9zg5D1HLu/kG0m/gleWkdUbQqqmkpcVtmog/sbGttLVTQ6tqJtKOfSKurEBXkkMS1Xbt2qKpaajff9u3bo6oqH330UZnbZ2RkMH/+fBRFITQ01BEhCeFyhgwZQsuWLcnMzOSbb75xdjiimuWlHsWQuAcULf7trrbgvRB1w4aD0QR4u9OzdcHSakO7Nf3ntQMXsFjlJF64Lq27J+0fXIwxeyAAGk06Oo9AwFqsXEGr6yPkpx4h+8JvTohUCNflkMS1R48eaLVaVqxYwd69xddaGzRoEABff/01zzzzDJmZmcVeP3z4MMOHD7d1Ee7du/iizULUFxqNxjZJk8yuXfeln1gKgE/Tm3DzljWsRd125HwycSk5XNe1MVptwalH15ahhPoXDDFKzcpj/5kEp8RmMJrJyMkv9SZERWi0OtpN/C8qQQDkxm8jcedLWC3FjyXP8L7oAzuS9Pc8cuJ3OCNUIVySQxJXf39/+vbtS15eHsOGDeOFF14gOTkZgP79+9OuXTsA3n//fcLCwrjmmmu47rrraNWqFddccw379+9HURS6du1K165dHRGSEC5p4sSJ6HQ6du7cyZEjR5wdjqgmxsxz5MZuAhQC2k90djhCVLvCrsDDuv+z7IyiKAwp0ur6p5MmafropwPcOe+nUm9CVJQhYRcKqfi3nwQaN3JiN3Jp6+NYjP803CiKQlDnqWA1kbB9OqmRH6FazU6MWgjX4JDEFWDcuHEAZGdn8+6777J//37ba4XdgAGMRiOHDx9mx44dREVFoaoqqqqi1Wqv2p1YiPqgQYMG3HrrrYBM0lSXFba2ejW6Hr1fC+cGI0Q1M5osbD18kYZB3nRsFlzstaHd/0lc/zoaS26+qabD467r2vHWg9eVehOiIlRVJe3oInTejfFpPJSQ7s+haD3JS95P7J/3kxu/g/y0E+SnnUDrHoDOuxEoGtJPLCF+6zTMhiRnvwUhajWdoyoaP368bZImgO7du9vuDx8+nKVLlzJ16lRycnJKDEYPCAhg2bJl9O/f31Hh1GkJCQlMmDCh2HOHDx+23V+/fj033XRTsdeXLVtGeHh4jcQnKmfOnDlotVomT57M999/zxdffMGbb75Z6mzd8+bNw2KxMGfOnJoPVFSJKSeW7At/ABDYfpKToxGi+u08Hkd2nonb+rcu8VqriACah/txPiGTPJOFrZEXualXzV7MaRrmR4828vsoHMBqwmxIxGJIIPbP4nMXmHMucmn79BKbaNwDsZrzyEvaT+z6cYRd+yqe4X1qKmIhXIrDEldvb2/uvvvuMl+/7777GDp0KMuXL2ffvn1kZGQQEhJC//79ue+++/D3l7XR7GUwGPjjjz/KfD0uLo64uLgS24jaTavVMmvWLObMmUOzZs2Ijo7mu+++47777itWbt68ecyaNYu5c+c6KVJRFRknl4NquTyzZEdnhyNEtVu37zwAQ4q0rhY1tHtTFv9RMDRi/b7oGk9chXAURaun0dDPseSnF3s+Oy6K5D1v4uaTg8Wow6vRQ4R0K5jESeseiNWSR+LOFzFmnCZ+66MEdHyIwI4PoShaJ7wLIWovhyWu9oiIiOCFF16oyV3WSc2bN5cp1OugmTNnAjBr1iyGDh1KdHQ0ixYtKpa4Fk1aC8sL12E2JJMVVTBuLqCDtLaKui8tO499pxNoFuZHgLd7qRMe9WzTwJa4Rp5PIiEth/BA75oOtVTr3/y3s0MQLkbn1QCdV4Niz7kHtscztBvn1zyER2AihvhFJBh0NB050VYmYtgSUg68S1bUGtKPfUp+8iFCr52HziMYIUSBGk1cr2Q0GsnNzbWt9SpEfVc0eVUUhW3btnHixAnat28vSWsdkHF6JarViHtwVzxCejg7HCGq3cbLy9xEJ2baNdmRqhZM0jRumPRGEHWLV1gEbcat5vSKB/EIOocp63+c+TqB1ncVNOhotB6E9pqBR2gPkve9jiFxD7Hr7yWs7+t4hvZ0cvRC1A4OS1y3bt1KUFAQnTt3tnubTZs2MWrUKCIiInjwwQeZMWMGOp1Tc2khnK5o8goFkzQFBARI0uriLMYMMs9+B0BA+0m2CeuEqMvW74/GU69j1n390FzlmD8ek8rSdQWtrn8ecFzieiYuHaPZQsem0molnM/N25d2k5Zz6ovHcPc/gMI3nFiaSNv730GjKZgv1bfZKNwD25Ow80VMmeeI3zyVwM6PENB+IorisDlVhXBJDvsEXH/99ZXqBqyqKrGxscybN48HHnjAUeEI4dJmzpxpm6n7P//5jyStdUDmma9Rzbno/dvg1XCgs8MRotpFXcrgbHw613drQq+2DejRJrzM278HtcXX0w2Ai8nZHLuQ4pAYPv75IK+v2lXletKy85ixdDsbD15wQFSiPtPq3Wn3wCeY8kYAoPfewonPHsRi/Kcbvd6vJY2GLcOn2c2AlbQjC7i0/ckSY2eFqG8ceummouMur7vuOvbs2cM777yDj48PK1eu5MyZM44MSQiXtWzZMlurnKIovPzyy06OSFSW1ZxLxumvAC5fNZfWVlH3Fa7dOqpPy3LL6t20xSZvctaarmXJN1rYfSKei0lZzg5F1AEajYZ2498A7ThUq4JHYCQnl4zFmJXxTxmdJ2F95hDaaxaKxh3Dpb+4uP5e8pIPOi9wIZzMqX0OPD096dWrF8888wyvvPIKqqqydetWZ4YkRK3x+uuv2y4GqarKyJEjnRyRqKzMcz9gNWag82mCd5Phzg5HiGpnsapsPHiBFg38ad8kyK5tRhaZTXjz4RhMZmt1hSdErdDyjqfQBz2F1aTBI+gCZ768m9yEi8XK+La4lYhhS3HzaYrFkEjc5odJP/kFqiqfD1H/1JoBpd26dQMgMTHRyZEI4XxFJ2KKiIjgoYceYv369UydOpWPP/7Y2eGJClAtRjJOrgAgoN0EWd5A1GkGo5kdR2OJT8khJTOP9k2C+fNANBFBPnRsVvY40z8PFLSw+nvrycgxkpVrZPmGozQN86N1RAB7T14CICkj17bNN1tPlhtP0fIAP+w4jdli5dTFNNtzf5+6RGZuydmOi8oyGMvdlxCV0WTEvSTsCSXjxGw8ApO58Ot9NLzuf/i3/mfOGPeANjQavpykfa+TE/MHqYc/JC/pAKF95qDVy3KSov6oNYnr4cOHAXBzc3NyJEI415WzB6uqyq+//soPP/zAwoULCQ0NlTVcXUhW9K9Y8pLQeobh22yUs8MRolplZOfz1uo9tsc7jsay42gsI3o0u2riWnSbQl9uOgHAs3f2ZtHawyVeL+250oQHeNnuL/4jkjyjpdjrmw/HsPlwjF11CVEdwvuMQO8bQsKu6eh9s0nY8TDGzNcI7XG9rYzGzZuwa18lK7QHKQffIzd+G7Hr7yOs7xt4BNs/MaoQrkxRKzgw9Ysvvij1+YkTJ9KlSxeeeeYZu+uyWq1kZ2dz/Phxli1bhsFg4JtvvuGOO+6oSEiiBuTk5ODj4wNAdnY23t61Y429uqasJW9SUlLo0qUL8fHxADJRk4tQrWZifr8Tc85Fgrs9jX/be50dkhBCiFoqOzaKmLVTcA9Iw2LU4tXoORpdf2eJcvlpJ0jY+SLmnIug6AjuNh2/1vfI/Amizqtw4qrRaEr9YKiqWqUPjKqqeHt7c/HiRfz9pdtDbSOJa/Urb53WdevWceONN9oeS/Ja+2Vf+J3E3TPQ6P1pOvoXNDpPZ4ckhBCiFstPS+Hs1w/gERSLalHQeD1Ai1unlihnNWWT9Pc8ci5uAMCr0RBCe81Cq/et6ZCFqDGVmpxJVdUSt7Ket/fm5ubGggULJGkV9ZbFYrlqMnrDDTcwffp0ALy9vcnMzKzJ8EQFqaqVtONLAPBvM1aSViGEEOVyDwym3cSvyEtrj6JVUfM/59TK2VitxSdj0rj5ENb3TQLaTwe05MZuIuq7Ozj66RLOfb8b4xXju4WoCyrc4nr99deX2rK6ZcsWgoKC6NKli9116XQ6AgMD6dKlC2PHjqV169YVCUXUIGlxrR3y8vLo3bs3R44c4eabb+ann36SrkG1TG7CblIPfYBX46GkH12IovOi6ehf0Or9nB2aEEIIF2G1mDm17Gn0vn8BkJ/Zh3YTP0SjLZieJvXYRc5+s5MLvx/EIySVlrdF4u6fh9WscHFjW1KONKPpyB60/ndfAjs0tv02BXWbjlf4tc58a0JUWoUT17JoNBpuuukm1q5d64jqRC0jiWvtcfjwYXr37o3RaOTjjz/mkUcecXZI4jJVVYnb+AD5qZEoOm9Ucw7+7e4nuOsTzg5NCCGECzr95Ty0uh8ByEttQ+uxCzn84Z9ErdmLotWgWgpaYrXuJpqPOkZA2yQAUo+Hc2F9JywGDS3G9KJh31/ITzuCe1AXIoYulovewiU5dR1XIUTFde3alTfffBOAp59+mhMnTjg5IlHIkLCL/NRI/Nvci2rOAUUnEzIJIYSotDZjZ6LxmIzVouARdJoTi+/iwu8FrbCFSSuAJd+Nsz90JWZjG1SLQlCHBNrftwvP0CxSDv1BftoR/NvcS35qJIaEXc56O0JUicMS19mzZzNu3DhHVSeEuIrp06czfPhwDAYD48aNw2iUNQadTVVV0o4uwj2oC0HdnkIf2BGtewBa97KXABFCCCHK0/yWh/Fq+DKWfC0+jVJoO3Yfbj55xcr4Nkuh44O7MCT6cHJVT4yZ7ngE5dJ+/B6a3XQKvX8ngro9hXtQF9KOLsJBHS6FqFGSuArhgjQaDcuWLSMoKIj9+/cze/ZsZ4dU7xW2tgZ2moKiKAR1noolL1mubAshhKgyz7DenFzVC1O2Hq+wbNrd9zcewTmXX1VpNPgMniE5NBp8hpw4f44tuZaMs8Fo3FT0fjkEdX0ERVEI7DRFWl2Fy6o1XYVXrVrF3LlznR2GEC4jIiKCTz/9FIC33nqLLVu2ODmi+uuf1tbOeIb3BcAzvK9c2RZCCOEQZ77eSV6KPyeW9yYvxQt3/zzajduLd6N0/Fqk4t0wCwDvhln4tUjFkqfnzLfdMGZ5oQ/sKL9Nok6oNYnr8uXLeeWVV5wdhhAu5Y477uCBBx5AVVXGjx9Penq6s0Oql3JjN11ubX3YNuGFXNmuPRLTczkdm2a7JabLMhFCCNdhzMjlwu8HUS1WjJmenFjZi+xYf3SeZtrevY8mw0+gXh7uqlohYtAZQMWvRRp631yCOk+V3yZRJ+icHYAQomo++OADtmzZwtmzZ5k2bRqrVq1ydkj1Su6l3STumVnsinahole2PcP7yiyOTpCYnsvEd3/DZP5nEhM3nYalz44kLMDLiZEJIYR9Lm6IxGq22B5bDHpOfdWDlrdFEtA6GY8gg+01RVPY6ppCxHXn0ft3KuO3qbP8NgmX4/DE1WKxsHnzZvbv309cXBzZ2dlYLJZyt4uMjHR0KELUCz4+PqxYsYKBAwfy5ZdfMnr0aBlvXgOsZgOpkfPJPPM1QLEr2oUKr2xf2vY4hoRdeDXo54xQ67WMnPxiSSuAyWwlIydfElchhEvITcwoWPqmyHeZatZy9vsudH1sO25epmLlVSs0GX4SjyADQV3nlfHb9LD8NgmX49DEdenSpbz44oskJSVVeFtVVeWKjxCV1LdvX2bOnMmcOXOYNm0aAwYMoHnz5s4Oq87KSz5E4t45mLNjQNHgHtChxBXtQtLqKoQQoirMuUag5G+HX/P0EkkrFLS6egQZ0Hk1u+pvkz6wI8n736DJyB/lt0m4BIeNcf3444958MEHSUpKQlXVCt+EEFXzf//3f/Tr14/MzEzuv/9+u3o6iIpRLUZSDs8nbtNkzNkxaPQBoFoJ7PxImT/6Mp6o5hUd03ohMbPUMhcSM2XMqxDCJei89MCV58oqEYPO2Ma2lsZiTMaYeb7U1wpnvzfnxJGw60XUq1UkRC2hqA7IGrOysmjSpAmZmQUnCO7u7lx77bW0bduWoKAgPDw8yr2Ss2LFCs6dOycn27VUTk4OPj4+AGRnZ+Pt7e3kiERpzp07R7du3cjOzub111/npZdecnZIdUZ+2gkS98zGlHkWAO+mozFlRWE1ZhLe7w1Kuxr+D5WEnS+hdQ8kYuhiubJdjUob06ooUPSX7srH9W3Ma2J6Lhk5+bbH/t7u9ea9C+GKzn2/m31v/FAsd/VrkUKbuw7Ytb1HaE98mt2Me0CbK15RSdj5AubcS3g1Gk54nzkoWr3jAhfCwRzSVXjTpk1kZmaiKAq33347ixYtIigoqEJ17Nq1i3PnzjkiHCHqrZYtWzJ//nwmTZrErFmzGDFiBL169XJ2WC5NtZpJP7GUtGOfgmpB6x5ESM+X8WrQnwu/3Y7FkEDsn+PtrMsEVhPIiUG1KW1M65WXZ698bDJb2Xc6gY5Ng/H10uPj6YZep63mSJ1DJqsSwvU0HtaFA+/8hNVU2LjzT2urYkffybykfeQl7Su7gKIj9+I64o1pNOj/Dho3H4fELYSjOSRxPXu2oAUiICCA5cuX4+npWeE6pLuwEI4xYcIEfv31V7799lvGjRvH/v37pYW8koyZ50jaM4f8tGMAeDcaSkjPgpZTgEZDP8eSn253fVr3QLma7WAZOflcTM4iJimL2ORsjl9IqVQ9//nu72KPPdy0+HgWJLG+Xnp8PQtuPp76y4/ditwvvLnh7alHq6m9LeoyWZUQrkfv70XTm7oTvfYAqsVabN1We2Rd9Me7YSYabcG5tjHbB33AEBr0vw2t3gNjZhTJ+98gL3EvcZsm02DQB+g8w6rr7QhRaQ5JXK3Wgh/Bvn37VippBfjiiy8wGAzlFxRCXJWiKHzyySfs3LmTU6dO8cwzz7Bw4UJnh+VSVNVCxukvSYtcgGo1onHzJaTHC3g3ubFYN1+dVwN0Xg2cGGn1qU3dSfNNFmKTs7iYnM3F5CwuJmUV/E3OJivX6JB9hPh7kG+ykm0woqqQZ7KQZzKQnFnx3yVvDzd8Lye8Pp5FEtvLrbmlJcG+Xno89TrpRi6EKFXru/px/ud9VLS1VbWCRmvlyMIBhPWMIfSaWPQ+2WD+mZjf/kTjfgNNRz1KxPWLuLR9OsaM08RumETDQR+i929V7e9LiIpwSOLasmVLAPT6yrckhIXJlR0hHCUoKIhly5YxfPhwPvnkE0aNGsWtt97q7LBcgin7Ikl7XyEvuWDskGeD/oT2monOM9TJkdUcZ3QntVhVEtNzuZicRWxSFjGFiWpSVrmTJ4X6e9Ik1JdGIb4EeLvz5ebjmC3/9OKxZ4zrB1OHERbghdWqkptvIivXSJbBRLbBSFbhLddItsFEZq6RbEPBLdNQ8FxWrhGD0QxATp6JnDwTl9IqNumTVqPYEtsrW3N9PN3wu5wI+3jqL9//JwnWu5XdtbnoRYirTVZVSMa8ClH7BHZoTIsxvTn/y270fvl2Ja1QkNzqffMx5+nRB95L09GDiV47H9W0ATdvA/Aj0T+txWrpT8R1r5Jx6k1MWdHEbXqI8AHv4Rnao1rflxAV4dDJmUJDQzl9+nSl6khKSsJgMNC0adOqhiOqgUzO5JqeffZZ3nvvPUJCQoiMjKRBg7rZOugIqqqSde57Ug69j2oxoOi8CO72NL4tbqt3rWCnY9OYNv/PEs8veHw4bRoFVqnuK7v2FraexqZkl+jCWpSPhxuNQ31pHOJ7+a8PTUJ9iQj2wUNf/BrslYnam6v3lKjvxbv70DTMD3Bcoma2WMkqkshmXU5uC5Pg4o8vl7v82GSp2oye7m7aUltztQqs2x+NxVqxRF7GvApR+1jNFnY8u5yUwwfRedrf28Scqye4W3cGvDsezeXx+2ZDLhd+W4Qx7Uf0flmX69dgyumEV8NcLLlnQeNGWJ95+DQZXi3vR4iKckiLq6+vLy+//DIvvvgi3333Hf/6178qXMf999/P+vXrMZvNjghJCAG89tpr/Pnnnxw6dIhJkyaxdu3aepeE2cOcm0DS3/Nsy9V4hPYgtPds3LwbOTky15RvshCXkk1MYZdeO7v2umk1RAT72BJTW6Ia4ou/t97uYzcswKvcpKtpmF+Vk/Ar6bQaAn08CPTxqNB2qqqSb7IUS2SvbM0tbPXNNpRs9bWqBf/m+SYLKZl5duzv6o9lzKsQtZNGp2XAu+PZ/6YvUWv2omg1qFe56FX4eosxvenx4hhb0gqg8/Si5R1PYrU8xsU/V5Ed/SUegUm4+0dizgGryRutPofEXS9hMSTi3/Ze27a5CbtJPfQBQd2m4xV+bbW+ZyGKckjiCvD8888TFxfHhAkTyMjI4IEHHqhwHTJBkxCO5e7uzsqVK+nVqxe///47H330EY899pizw6o1VFUl+8JaUg68g9WUjaJxJ6jrY/i1vhvF3n5YdURFu5P6eBYMDSmta29SRm6JZKiosACvEolp41BfwgK8avXERtVFURQ89Do89DpC/Cs2T4TVqmIwmm2JbNEuzVkGIxcSM1m/P7qaIhdC1DSNTkuvGf+i1b+u5cw3u7jw2wGsZguKVkPBsmwqqsWKRqel6ahraH1nXwI7NC67Pq2Opjfej9V6Hwm7fict8nM8gqLR6nMul1BJOfQfjDmXCOn+JKCQdmQhxoxTpB1ZiGdYH7kgLmqMQ7oKQ8HkSgDr169n1apVREREcOONN9KhQwcCAgJwc3O76vbvvvsuR48elXVcaynpKuza5s+fzxNPPIGHhwf79u2jY8eOzg7J6Sx5qSTtf4Pc2E0AuAd1IrT3K+j9mjs3MCewa+1Tii0hWK7Crr2FY0+bXG5FLa1rb3Wq78u/lNXtuzzvThlMt5Yy94QQtZ0xI5eLG49gSMzAlJOPm7c7nmH+NB7WGb1f5b7jUiJ3kbDzY9z9jqFoi3zza1oS2vthkna/gH+be8k4vYoGg+bj1aCfg96NEFfnsMRVo9HYrrgUVlmRKzCqqqIoiiSutZQkrq5NVVVGjhzJH3/8Qffu3dm1axfu7u7ODstpci5uJGnf61iN6aDoCOw0hYB296Noai6hqk0qm9zoNAqNLyemRVtQm4T64udlf9fe6labZkiuaXZdlFBKdhd212kY3qM5t/ZrRcuGATUTrBCiVsmKPsXFDR/i5rkHja7gO0RVQefVkMY3rubS1kcBiBi6uNZ834u6zaGJa1VJ4lp7SeLq+uLj4+natSvJyck899xzvP32284OqcZZjJmkHHiH7Au/AaD3b0Non1dwD2jr5Micq7KJ6/xHh9G+SVA1RCQcyd7JqsIDvNlzKp5tkRe5mJxte61L8xBu69+aAZ0aodPWry70QgjIS0ngwu+z0LrtozA/1ej98WzQj5wLv0urq6gxDk1cw8LC6NChQ6W2P3z4MOnp6ZK41lKSuNYNP/74I2PGjEFRFDZs2MCQIUOcHVKNyb30F0l752HJSwI0BLSfQGDHySjayi/jVVdUNnF1xCzDombZM2O0qqpERiXz484zbD8ai/XyjMRBvh6M7tOSUde2JMSvcmu2CyFck6qqxPx+N6o1F0XRYc65ePkVBavFi9BeC/Bv3cmpMYq6z6H94oYOHcqqVasqte3IkSNZt26dI8MRQlzhtttuY/LkyXz66afcf//9HD58mMDAup14WE05pBz+gKxz3wPg5tOU0D5z8Qju7OTIag9/b3fcdJqrLkdT2pIp/t71t7t5XaYoCl1bhtK1ZSjJGQZ+3XOOtXvOkZqVx/INx1i16TiDOjfm1n6t6Nw8RLoIClEPGBJ2Yc4+R4NB8/EM70POxU2kn1yGMe04Gm0OyfsmELuxPaG9Hyb0mkHODlfUUQ5tcb3nnnuqnLhKi2vtJC2udUdOTg7XXHMNp0+f5q677uKrr76qsyeehqT9JO19BXNOLAB+bcYS1PlRNLqKLVdSH+w/k8AbX+0mPTsfbw83cvJMJcpUx9qnomZVdrIqk9nK9qMX+WnnWY6cT7Y937KBP7f2a83Qa5riWYOTbgkhao6qqsRtLFgtpOh4VlVVMSTuJeGv51DNObbyealNCGh/Pw0G3UZe0l5ZOkc4jMMS19tvv53rrruOp556qlLbr1y5kjNnzjB79mxHhCMcTBLXumXv3r30798fs9nMsmXLuP/++50dkkNZLXmkRS4g4/SXgIrOqyGhvWfjGdbL2aHVSseiU5ixbDtZuUaahPoyZVRXZi7bUaKcdA2uG6o6WdXZuHR+2nWGDQcukG8quNjs7eHGjT2bc0u/VjQO8XV4zEII58m9tJNL2x4vcyxr4esWkycarYHC1eTy04NxD9KBNQH3oC4yiZOoMoclrqJuk8S17nnttdeYMWMGvr6+HDp0iBYtWjg7JIfISz1K0p7ZmLLOA+DbYgzB3Z5E4+bj3MBqqZ3H4njty13kmyy0bxLEqxMHkpieW+44SCGyco38se88P+86Q1zKP60tvdqGc1u/1vRu17BerssrRF1SVmvrlWViN0zAmH4CND6YMsPR6s+icSvo2aFx88Fqyia091v4Nh9Wo/GLukUSV2EXSVzrHovFwvXXX8/27dvp378/W7ZsQadz3a5+qtVE2rHPSD+xFFQLWo8QQnvNwKvhQGeHVmv9tjeK93/Yh9Wq0qddA2aM64enXlfv1z4VFWO1quw7ncCPO8+w52S8bSx0g0Avbunbmpt6NcdPxkML4ZLKa229slwhj/DhGOL3oGhzQC3omaFaFSzGG2g68nE8QhpUe+yi7qn2xDUrK4uLFy+Snp5Ov34yVbarksS1bjp//jzdunUjMzOTuXPnMnPmTGeHVCnGjDMk7pmFMf0UAN5NbiSkx/No9f5Ojqx2UlWVVRuPs3T9UQBu7NmcJ+/oWWypk/q89qmovPiUbH7efZbf90aRZSgYJ63XaRjSrSm39mtN28bSYi+EqyhsbbXkpxHe7w3gaj0oVBJ2voRqyb88e3+BsP7vYsm9RNrxxVjzUwGwGLWY83vTeNgT+Dar38vRiYqplsQ1Ojqajz/+mJ9//pmTJ0+iqiqKomA2m21lHnvsMdLT03nqqafo2bOno0MQDiaJa921YsUKxo8fj1arZceOHVx7retMnqCqFjJOLif16CdgNaHR+xPS4yV8mgx3dmi1lsWq8tFPB/h511kA7h3SgYk3dJJxR8Kh8oxmNh+K4cedZzgTl257vkPTIG7r15pBXRqj12mdF6AQolyqxciF327HYkiwexutZzghvWaQ+NdzuPm1pNGwZSiKgtVi4uIf/8aYGY9Ge7kF1qKQn9mR8H5TCe7St7rehqhDHJ64vvXWW8yePRuTqeBKa2H1iqIUmzF4/PjxrFy5EkVReOihh/jwww9xd5euRLWVJK51l6qqjB07ltWrV9O6dWsOHDhg+7+uzUxZF0jcO4f8lMMAeEVcR0jP/0PnEezkyGovo8nCG1/tZvvRWBQFpt1yDWP6t3Z2WKIOU1WV4xdS+XHnGbZGxmC2FJwTBHi7M7JPC26+tpW05AtRi5lzL2HJT7e7vNY9EGPmuVK7Fxd2J3bz+zdZ53fgERRney0vtRmBnScR3m8UGo2mtKqFcGzi+uSTTzJ//nzgn4TVtqMrEtcVK1bw2muvcfLkSRRFYdSoUfz888+OCkU4mCSudVtaWhrdunUjJiaGhx56iE8//dTZIZVJVa1knv2G1MMfolryUXTehFzzHD7NRkur4VVkG4zM+mIHkVHJuGk1vHB3HwZ3beLssEQ9kpaVx9o95/hl9zmSMw0AaBTo37ERt/ZrTfdWofIZFsLFXW0yJ1VVidswAYsxg8Y3fkvygW0k7/sU98DTFBbLSwvFp+k9NB4xDo3WdefdENXDYYnrjz/+yO23315QqaJw3XXX0b9/fyIiIvjkk084evRoqWu0fvnll0ydOpWsrCw+/PBDHn30UUeEIxxMEte6b/PmzQwdOhRVVfn+++9tn+faxJQTT9Lfc8lL3AuAZ1gfQnvPQuclkzxcTXKGgZcWb+V8QiZe7jrm3j+Abq3CnB2WqKcsFit/HYvjx51nOHTun7FwTcN8ubVfa0b0aIaXu5tddclYbCFqF3uXztF6hhPS43m8Gl5HxplI4rfMx837EBpdwaSAxkxf9IG30nTkw+g85TMtCjgsce3WrRuRkZF0796dlStX0qFDB9trI0eOZN26daUmrgA7duxgyJAhNGzYkOjoaEeEIxxMEtf64YUXXuDtt98mODiYw4cPExER4eyQgIKrtNnnfyb54Huo5hwUrQdBXafj1+pfKIp0Kbqa6MRMXvp8K0kZBoJ8PXh90iBaRQQ4OywhADifkMFPO8+yfv958owF5whe7jqG92jGrf1a0yzMr8xtZfZrIWoXe5fOidswgfz0E6Ba8QjpQVC36XgEdSInPpqYPz5Eo/0LnUfBkENTrjuKbhjNRj2Be2BIjb4fUfs4JHGNioqiVatWNGjQgGPHjhEQEFDs9fISV4D777+flStXsnfvXnr06FHVkISDSeJaPxiNRvr27cuBAwe44YYb+O2335w+1sRsSCZ532vkxm8DwD24G2F95uDmI91cy3MsOoUZy7aTlWukSagvr08aRIMg+eyK2icnz8T6fef5addZYpKybM93bxXGbf1a069DQ7Ta4t9Fp2PTZL1hIWqRCi+do7iBWpCgeje5gaAuj+Lm3Yj8jFQurP0Ia/463LwLhhVYjDosxmtpPGI6Po1b1sj7EbWPQ85Id+7cCcCjjz5aImm11y233IKqqhw8eNARIQkhKkGv17Ny5Uo8PDxYt26dbcy6s2THrOfiursLklaNG0FdnyBiyCJJWu2w81gcz3+2haxcI+2bBPHfR4ZI0ipqLW8PN8YMaMPnT9/IWw9ex4COEWgUOHg2kVdW/MX4t9eyatNx0rLznB2qEKIUqqqSdnQROu/GaN0DyE87UeZN6x6Azrsxev9WeDcdBSjkxKwj5vc7STn0X3SeWtqMnUnrsetQ3CaSn+GPVm9G77ODS9vv5tinD5B6fJ+z37JwAoeMek5MTERRFPr06VPpOgq7JCYnJzsiJCFEJXXo0IH33nuPRx99lBdeeIGhQ4fSpUuXGo3Bkp9O8oG3yIlZD4A+oD1hfV5B79+qRuNwVb/tjeL9H/Zhtar0adeAGeP64amXSS5E7acoCj3ahNOjTTiJ6bn8vOssv+09R1KGgSV/HGH5+qNc0yacwV2boC1jIqcLiZm2+zLmVYgaYjVhNiRiMSQQ++d4uzbReobTqNcMjG3vJfXwhxgS95BxaiVZUT8T0OEB/FvfRYsxj2G1PELsxq/JilqJR2ACHgGHST/yMIl/NSCw8xOEX3tDNb85UVs45EzGaDQCBa01lZWRkQGAVivrugnhbFOnTmXt2rX8+uuvjBs3jj179uDh4VEj+86J20byvlex5KWAoiWgwwMEdngQRSOJV3lUVWXVxuMsXX8UgBt6NuepO3qi08o4YOF6wgK8ePCmLowf1pEtkRf5bttJzsZnsPfkJfaevASAAhQd76Qo8ObqPbbHMuZViJqhaPU0Gvp5hZfOUbR63APb0+C6jzAk7CTl0AeYMs+Sevh9Ms98TVCXaXg3uYEmI+4F7uXSzt/JPj8PjS4fvd8lci68zLFDH+DbYhyNht4lMxHXcQ45mwkLC0NVVU6cOFHpOv766y8URSEsTGa6FMLZFEXh888/JzQ0lMjISF5++eVq36fVlE3S3rkk7HgKS17K5YXLlxLU6WFJWu1gsarM//GALWkdO6Q9z97ZS5JW4fL0blpG9GjGM3f2LvHalZN0XDlrh8lsLTbrsBCi+ui8GuAe2N7um84r3Latoih4NehP4xtWEdJrBlqPEMy5cSTunkHchokYkgq6Bvu18Eejy8en2WgAVKuCR2ACpvT/cHLJjUSt+R+WfINT3r+ofg45o+nevTsAH3/8MVar9eqFS5GSksKiRYsA6N275A+TEKLmhYeHs3jxYgD++9//sn79+mrblyFxLxfX3UPW+Z8ABf+242k0fDnugR3K3VaA0WTh1ZU7+XnXWRQFHr31Gh64sYusiSkEJdeVF0LUXoqixa/FGJqM/IHATo+g6LzITztG/OaHid/+FKmH5+Me1IXQ3nNwD+qCm19rjNkDsBh1uPtnoJqWcubLGzj95TzyM1Kd/XaEgzkscW3WrBmRkZGMGzeO3Nxcu7eNi4tj1KhRJCcn07ZtW9q3b++IkIQQDnDzzTfzyCOPADBx4kRSUlIcWr/VnEfygXeI3zIVc+4ldN6NiBjyKcHdpqPRujt0X3VVtsHIi4u3sv1oLG5aDf83ti9j+rd2dlhC1BovLd7Ga6t28ePOM5yLT8dqlURWiNpOo/MksONDNBn5A74t/wWKFkP8NowZpwjsNAVFUQjsNAVz9mmajryHpqN+wWwchSnXHTdvA1rdj0T/NJoTS58hJ16W2qwrHLaO69KlS3nggQdQFIWIiAimTp3KzTffTOfOnRk9enSx5XDS09M5cOAAP/zwA0uWLCEnJwdFUVi1ahV33323I8IRDibL4dRfubm59OjRg5MnT/Kvf/2Lb775xiEteXkph0naMwdT9gUA/Fr9m6Cuj6PRyVg0eyVnGHh5yTaiLmXg5a5j7v0D6NZKhluIuqm0dVsVpXj34Csfl8bX041OzULo0iKUzi1CaNsoULrUC1HL5WecI37zZHTejWg0bBmKolxeN3YSoNjWjTUbcrnw2ycY035C71ewtJbVrMGU040G1z1GYNtuzn0jokoclriqqsqdd97JDz/8UOykVqfTodFoMBqNhIeHk52dTU5OTrHtAMaOHcvKlSsdEYqoBpK41m/79u2jb9++mM1mFi9ezKRJkypdl2oxknZsEeknvgCsaD3DCe01E68GfR0XcD0QnZjJy4u3kZieS5CvB69PGkSriABnhyVEtUpMz7WNWb2QmFlsIqZCL97dh6ZhfgB46HWkZuVxJCqJw+eTORadTJ6x+JryHm5a2jcNpmuLEDo3D6VD0yA8ZBZuIWqVstaILXzet9WdBHd5DI1bwbmq1WLm4vqVZF/4Co/AJKDgolZ+WhtCej1MWM/rnfE2RBU5LHEFyM/PZ9y4cXz//ffFd3I5kS1rV3fffTdffPEFbm5ujgpFOJgkruLNN9/kpZdewsfHh4MHD9KqVcWXpslPO0HintmYMs8C4NPsZoK7P4NW7+vocOu0Y9EpzFi2naxcI41DfHjjgetkjVZR75yOTWPa/D9LPL/g8eG0aRRY6jYWi5UzcelEnk8mMiqJI+eTycw1Fiuj1Si0bRxIl+ahdGkRQqdmIfh6VX7VBCFE1RS0rD4AYGtZLfpa7IYJGNNPgKLHt/ko/Fr9G/eANgBYrVYSdq4l7cgSPIL+6TJstbjhHngHjUY8g0YjPS5chUMT10JLlizh9ddf5+zZs1ct17p1a2bOnMn48fat9yScRxJXMWvWLL744guio6Pp27cv27ZtQ6crvVVi3rx5WCwW5syZA4BqNZN+Yilpxz4F1YLWPYiQni/j3ej6mnsDdcSu43G8umoX+SYL7ZsE8erEgfh7y3hgUf9UJnG9ktWqciEpk8ioZI5cTmaTMorPSKoo0CLcn84tQujaIpTOzUMI9vN0yHsQQpSvrNbWK18vyj24G/6t/413o6Eo2oILTymRu0jY+THuAUcpzH3z0wPxbHAnTW6ciFZf8d9SY0YuFzdEkpuYgTnXiM5Lj1eYP42HdUHvL0OfHK1aElcouAKybds2tmzZwsmTJ0lNLZjZKzg4mHbt2jF48GAGDhwos166CElcxbx585g1axbu7u7k5+cze/ZsW2JaWrm5c+cyc+ZMjJlRJO2ZTX7aMQC8Gw0lpOdLaN3tO7EU//htbxTv/7APq1WlT7sGzBjXD0/p0ijqqdLGvFZ13VZVVUlIyyUyKsnWKnsxObtEuYhgb7o0D7Ulsw2DvKt8PlO0GzSAv7e7rD8r6r2rtbZeWcZqzsHNtwW5cZtBLRgSoHUPwrfFbfi2vAM374a2JFcf0A5j+klbHcZsL3ReI2k6ahp6X/9y40o9dpGz3+zkwu8HsZotKFoNhStLqxYrGp2WpiOvofW/+xLYobEj/ikE1Zi4irpFElcB/ySlABqNhu3bt9OvXz9yE3aTeugDFm3wZd7bi5g7dy4zZvwfGadXkRa5ANVqROPmS0iPF/BucqNcsKogVVVZtfG4bY3WG3o256k7esqEMqLeq4lkLy0rz5bERkYlc+5SeokJoIJ8PQpaYy8nss3C/NBo7P+eq44kXIi6oLzW1tLK6f1bkxW1hsyz32PJS7pcQoNnwwGYsy+icfMhYuhiYv+8n7zUeKz5ueg8C4YMmA16VAbR5KYn8AprVGI/VrOF/W+uIWrNXhStBtVS9jKgha+3GNObHi+OQaPTVunfQkjiKuwkiasoVDR5bdmyJQcOHCBr73TeXbSO97+O45VXXuGlpx8gae9c8pL3A+DZoD+hvWai8wx1ZuguyWJV+einA/y8q2Doxdgh7Zl0Q2dJ/oVwkpw8E0ejk4mMKkhmT15MxWwpfipV0ZmLHdHtWYi6prAl1ZKfRni/Nyho0SyzNAk7C3pzFbbMqlYzuXFbyTz7LYbEfyZyK0yCC5Pd0N5vkbh3P6asX9H7FvSwsJo0mHJ70mjIY/i16lTwnNnCjmeXc2nHCahI9qRAgwHtGfDueEleq0gSV2EXSVxFUf/3f//H66+/DsB9d48iRD3I+1/H8eRdEfzfi0+SFfUTqsWAovMiuNtT+LYYI4lWJRhNFt5cvZttR2JRFJh2c3fGDGjj7LCEEEXkmyyciEm1dS+uzMzFkrgKUZJqMXLht9uxGBLs3kbrGU7TkT/YxrUWys+I4tLWaWg9Q69YTuefbsiqxUzMH8vIjfsa94CCIY6qVSE/ox1hfR7h/C8JRP24t9Sk1bdZCk2GnyLmz7ZkRQeXLKBAi9t602vGv+z/BxAlODRxXbduHXl5ebbHISEh9O/fv9SyX3/9NWvXrmXKlClllhG1hySu4koPPfQQn3/+ue3xzJkzefi6aPLTj4NqxSO0B6G9Z+PmXbKrjShftsHIrC92EBmVjJtWwwt392Fw1ybODksIUQ6zxcrZuHQOX561OPJ8MlmlzFzcooEfLcIDaN0oAL2blg9+2F+irqJL+8iYV1EfmXMvYclPt7u81j0QnVd4iefLW06n6PNWq5VL234k/cQXeATF2MpmRAWRsKs5WRcCKd76q9L+/j14N8wiJ96XE1/0oazW4eHLH5Mxr1XgsMT18OHDdO/evViryuDBg9m4cWOp5T/55BOmTp2KoijcfvvtfP755/j7lz8YWjiHJK6iNDqdFsvl8R1t27blwzem08ayGN8WdxDS80UURcZgVkZyhoGXl2wj6lIGXu46Xrl/AN1bhTk7LCFEJRSdubhwnGxypqHc7RSFYmNpZcyrEJVT3nI6V5v8KenANpL2foK7/wkKT2ly4n25tLs56afCQFXwa5FCm7sO2LY5/fU1ZEaVbHVVtBqaje5B71l3Ovot1hsOO6tctGgRUHAAqKpKjx49GDNmTJnlW7VqRfPmzVFVlR9++IERI0YUa60VQtRuc+fOxWKxotMWfMmfOnWKm/71KDOWZJJ48QhXH4siyhKdmMn0jzcSdSmDIF8P/vPwEElahXBhGo1C83B/bunbipfH9mXVS6OZe/+Acre7slnBZLay92Q8qVl5yCgvIexnSNhFfmokgZ2mlEhMFUUhsNMU8lMjMSTsKrFt6DWDaH33Io5+PpDEfY2xmjR4N8yi1ZhIOk3+i5DuMURcdwb18hxNqhUiBp2htP7EqsXKhd8OYMzMrY63WS84rMW1adOmxMbG0qFDB7744gt69Ohh13Y//vgjU6dOJSEhgeeff5433njDEeEIB5MWV1FU4QRNT94VwWsffMtr83+xjXkFCPHX8d935jDuoZdlbGsFHItOYcay7WTlGmkc4sMbD1xHgyD5rAlR15Q1ptVePh5uNA3zo0moL03D/Gga5kuTUD8aBHmjrcBsxkLUdRVZTqesMue+382+N34AFXSeRkJ7xBDW8yI6T1OZ+y2r1RUFer58By1v71OFd1V/OWQBwNOnT3Px4kVCQ0PZtGkToaH2zxx622230a5dO3r37s2CBQuYOXMmXl7SDUaI2qowaX124jU8eV83PMP78tpr/fDw8GDWrFmEhISQnJzM+Ckz+Prn3Xz00Uc0aSJjM8uz63gcr67aRb7JQvsmQbw6cSD+3hVfDF0IUXeF+HmQkpVHdp6JYxdSOHYhpdjrbjoNjUN8SyS0TUJ9cXeT2UxF/VPY2tpg0PwyL6QXtrpe2vY4hoRdJZbdyU3MKFjaxmzFbNATv6MVCXuaE9zlIo2HnEGjK94GWNjqmhkVxJW9zxStBkNihkPfY33ikMT10KFDAEyePLlCSWuh9u3b8+CDDzJ//nx27NjBiBEjHBGWEMLBCpPWmc9NZmLv/cW63cycOROAWbNmMah/D3btPsDPP//Mpk2beP3115k2bRparZw4leb3vVH894d9WK0qfdo1YMa4fnjqHfL1LISohfy93XHTaYqt23rlmNbSxrh+MG0Y/t7uxCZncSExiwuJmcQkXf6bnIXJbCXqUgZRl4qfGCsKhAd6FyS0oQUJbdMwP5qG+uInF8hEHaWqKmlHF6HzbozWPYD8tBNlltW6B6Dzbkza0UV4hvctluSac41cmYBaTVry03xKJK0Aiga8G2bR4tZI4ne0JC/Fp+irmIqsPS0qxiFnRnFxcSiKQr9+ZS8MXJ5hw4bx4YcfcuLECUlchaiFCpPWV155hQcHRAFd8AzvW6xM0eR10pj2RJ5O5e+jiTzxxBOsWrWKRYsW0aVLFydEXzupqsqqTSdYuu4IADf0bM5Td/S86nqPQgjXFxbgxdJnR5Jx+QT2QmImb67eU6yMqpY9q3DLhgG0bBhQrLzFqpKYlsOFy4nshcQsLiRlEpOYSZbBxKXUHC6l5rD35KVi2wV4u9Mk7J+EtsnlhDbU3wuNk7odJ6bn2v5tQGZUFpVkNWE2JGIxJBD753i7NlGtJrCaoMhyOjovPSXHrKpEDCoY21rWPJRBHRIJ6pBITrwfKUcaknosHKvZAzcHXCwyZuRycUMkuYkZmHON6Lz0eIX503hYF/T+dfez4pDENTu7YLHegICAStcRGBhYrC4hRO1isViYO3cuz0webps6vrRuN4XJa17GeV6+5yC/nr+fma99wq5du+jRowcvvPACM2bMwMPDo6bfQq1isap89NMBft51FoCxQ9oz6YbOMiZYiHoiLMCr3GSsaZif3eu4ajUKDYN9aBjsw7XtG9qeV1WV9Jz8Ei20FxIzScowkJ6TT3pUPpFRycXq83DT0uRyV+Oml7seNwnzpVGwL2666ru4lpiey8R3fyvWGi0zKovKULR6Gg39vMLL6Vy5BqxXmD+qxVrsOb8WqXg3zCq3PtUC3g0z8W6YSeOhp8g4E4I13x9L/kC07p52x1Uo9dhFzn6zkwu/H8RqtqBoNRS0BquoFisH3vmJpiOvofW/+9bJZXcckrgGBQUBEB8fX+k6Ll0quAJYleRXCFF95syZY5vAoLxuN88/9m9AJWHnS9zZK5l/HTvG448/zpo1a3jttdf45ptvWLRoEYMHD67ZN1FLGE0W3ly9m21HYlEUmHZzd8YMaOPssIQQdZCiKAT6eBDo40G3lsWHcxnyzQWJbFImMZcT2wtJmcQmZ5NnsnA6Np3TsenFttFoFCKCvAsS2stdjgvH1Hp7uFU53oyc/GJJKxTMqJyRky+Jq6gwnVcDdF4NqlRH42FdOPDOT1hNlsvPlN/aCgVjXQ3JPqRENiS48yW8GmQR2C4J+Iazq3/EYupOyDV3Edz9OjSaq18Mspot7H9zDVFr9haMt72cSKtXfFasJgvRv+7n/E9/02JMb3q8OAaNru4M03JI4lq4rM2PP/7InXdWbm2iH3/8EUVRaN68uSNCEkJUh0p2u2naMIwffviB77//nscee4xTp05x/fXX8+CDD/LOO+/YelzUB9kGI7O+2EFkVDJuWg0v3N2HwV1l8ioh6rPSxry66TTVPkGbp7uOto0Dadu4+Hew2WIlPjWnRAttTFIWuflmLiZnczE5m53Hi9cX7OdRakIb7OshvUmEy9L7e9H0pu5Erz2AarHa3dqqaMArPJvYLT4cX3YtnmHZNOyfgU+Tc7h55aPz3EPW2T0k7/dH6zmQiMET8GncskQ9VrOFHc8u59KOgsaCK1t/r1T4etSPezEkZzHg3fF1Jnl1yHI4ubm5BAcHYzKZ+Omnnxg1alSFtv/9998ZPXo0er2e1NRUPD0r3nQuqpcshyMKmXMvVbjbjc4r3PY4IyODF198kYULFwIQHh7Ohx9+yL///e86f2KTnGHg5SXbiLqUgZe7jlfuHyBrtAohANcY16mqKimZeZdbZi93Pb58PzUrr8ztvNx1xZfvufy3YZA3Wq2m2HsvbbwvlD3eV4iakHb8In+O/x+g0v7+PXiFZ121tbWQaoXcBF9OfNEHUBi+/DH8WoUSv20NmWd/Qu97Go3Oaiubn94Er4ibiBgyFr1PwfH+96vfEfXj3tKWhsW3WQpNhp8i5s+2ZEWXsvwOENy9GWG9WtWJsbAOW8f1wQcfZMmSJbi5ufHCCy/w9NNPl9vtNyMjg/fff5833ngDk8nEpEmT+OyzzxwRjnAwSVyFo23fvp3Jkydz4kTBFcSbb76Zjz76iKZNmzo5ssq72onnhcRMXlq8jcT0XIJ8PXh90iBaRQQ4KVIhhHCsbIORC0lZBV2Ok/5poY1PycZaxpmmTqsQHuBNXGr2VWdULm2GZRnzKmra369+x/lfdtPlke24eRvt3s6UrSfyk4E0v/laes34V7HX8lITidu0gryUDXgEJtiet+TrMBk64hE8nH2vH+LKWY0LFCTR3g2zyIn/JzkujaLVFHyQLo+F1ei0LjkW1mGJa1xcHF26dCE9PR0AnU5H//796dq1K82aNcPb2xtFUcjOzubChQscPnyYv/76C5PJhKqqBAYGEhkZSUREhCPCEQ4miauoDvn5+bz55pu89tprmEwmfHx8eO2113j00Uddbumcq00okpxhYMay7WTlGmkc4sMbD1xHgyD5DAkh6j6j2UJscvYV3Y6zuJicRb5tzGDFLXh8uN0TVwnhCIVddlMOH0TnaX/ias7VE9yte7lddtNPHyZh5wpUyy70Prm25/PTPUk50oCUIw0xZvxzscavRQpt7jpge3z662vIjCq91bU0hWNlXWksrMMSV4AtW7YwcuRI8vPzUVW13G5/hbv28PDgjz/+YNCgQY4KRTiYJK6iOh0/fpzJkyezY8cOAK699lo+/fRTl1o653RsGtPm/1ni+ak3d2PxH0fIN1lo3ySIVycOrPZxa0IIUdtZrSqJ6bnsPB7Hgp8PVnj7Nx4YRK+2VZt0R4iKKmuSpNJUNjG0Wswk7Pyd1CPfoPc5gdb9nws8WTEBpBxpSNqJMNres9/WZfnKLskVokCDAe1dYiysQxNXgAMHDnD33Xdz5syZgh2UkbwW7rZt27Z89dVXdO/e3ZFhCAeTxFVUN6vVyqJFi3jhhRfIzMxEp9Px/PPPM3PmTJdYOqesxLWwi1ufdg2YMa4fnnqHzIknhBB1QlnfnfaICPahc/MQ261xiE+dnytB1A5pxy9y5ptdXPjtQKnL0mh0WpqOuobWd1a+K+6573dz4N1vCWidSHDneHybp1J4eFvNChpdyRSurFbXcsfCKtDitt4lujLXNg5PXAHMZjMrV65k2bJl7Nq1i7y84gP2PT096du3LxMnTmTs2LHodHIiV9tJ4ipqSmxsLI8//jg//PADAG3atOGTTz5hyJAhTo6sJHsmFAHo26Eh44Z0IMjPU8ZkCSFEEaUNsyhvjGtBelCSv7eeTs0KkthOzUNoExFYrWvOCmHMyOXixiMYEjMw5eTj5u2OZ5g/jYd1Ru9Xtd/7IwvXcWLpZtuSN26+eQR1vERw5zg8Q3JLlC+71dX+sbDDlz9Wq8e8VkviWpTJZCI6OprU1FQAgoODadq0KW5uVV/rS9QcSVxFTfvhhx947LHHiIuLA+CBBx7gnXfesa0b7Wz2nGxdSSYUEUKIkiozq7CXu45jF1I4cj6ZI+eTORmTivGKNS31Og3tmwTbWmQ7Ngt2yFqzQtSEg//5hTNf70Q1Fx8L7tcimTZ3HSxzu5Rj4Vza2YK8ZJ/L5e0bC6toNTQb3YPesyq3tGlNqPamTjc3N1q3bl3duxFC1DG33347Q4cO5aWXXuLjjz9m8eLF/PLLL3z44YfcddddTu8OlpGTXyxphasnrQAms5WMnHxJXIUQooiwAK9yvxebhvmVmIypT7uG9GnXECiYBOpMbDpHzidzNLogmc3MNXI4KonDUUlAwcXFFg38i3UvDnXBJUFE/aDz0lOyb4FKxKCzqFbKXI4nuGMCwR0TMCR5k3osnMAOCbbyqhUiBp0hMyqIK1tdVYuVC78doNuTo6rcWlxdHJK4RkdH07LlPwvmKorCqlWruOuuuxxRvRCinvL392fBggWMGzeOyZMnc/z4ce655x6WL1/OggULXHrpHCGEEI6j12np2CyYjs2CgXaoqkpMUpatRfZodDJxKTmci8/gXHwGP+08C0B4gBediiSyzcL80Ggcd2HUFdbnFbWTV5h/icmf/Fqk4t0wq9xtrRbwDM2h0eBzxZ5XNODdMAu/FqmltrpazRYubjhCy9v7VC34auKQxPXAgQMU7XGs0+nw9PR0RNVCCMGAAQM4cOAAb731Fq+99hq//vorHTt25LXXXuOxxx5zuaVzhKiPmjdvTnR0dKmvzZ49mzlz5pR4/rvvvuPOOwu6rZ08eZK2bduWKLN06VImTZpkd52idvP3dsdNpymxtFhFZ2NXFIWmYX40DfNjVJ+CxpWUTANHo//pXnw2Lo2E9FwSDl5g48ELAPh4uNGx2T/di9s1DkLvVrnfmKstk1ZW8iqJrijUeFgXDrzzE1bbslEqEYPOXLW1FQpaVfOSfEncH0HjYWfQ6i0U7aR2tVZXRavBkJjh8PfiKA5JXGNiYoCCL4lXXnmFF198USZcEkI4lLu7O7NmzeLf//43U6ZMYfv27Tz55JOsWrWKTz/9lK5du9ZoPKWdXJU3oUhlTr6EqCvef/99srOzmT17NufOFbQCLFy4EG9v7zI/v+vXr7fd/+OPP0pNXK+77jqWL19OSkoKTz75JBMnTmTYsGE1/p0gHCMswIulz46sluQt2M+T67o05rouBZPP5OabOHEh1dYie+xCCtl5JvacvMSek5cAcNNqaNM4sGDCp2YhdG4WjJ+d3+OlDSm52pCRyiS6tZmzkvC6kvzr/b1oelN3otceQLVY7W5tVTTg1SALN28zOveSayVfvdVVwVTk3662cUh2mZtbMLNVp06dmDFjhiOqFEKIUnXo0IEtW7bw6aef8vzzz7Nnzx569uzJc889x8yZM2ust8eVJ1elTSiiqiUnFHHFH08hHGHMmDEA7N27lw8//BCAJk2aMGrUqDK3KZq4rlu3jscff7xEmZYtW9KyZUtWr14NwPTp02WJPRdnz5hXR/Byd6NHm3B6tAkHwGKxcjY+o6BFNjqZo+eTSc3K41h0CseiU4CTADQN8y1okb08g3GDIG+HzLtQ0UTXGexNCp2VhFfXfp2VDLe+qx/nf96Hva2thVQrNOgXVWb5sltdVdxq8QV2hySuERERQMGyFUIIUd00Gg0PP/wwt9xyC48//jjff/89b7zxBt988w2ffPIJQ4cOrZE4KjuhiBD12YgRI2yJ6/r168tMXM+ePcu5c+fQaDRYrVY2b96MyWQqc1WCP//8k7CwMLp161ZtsYu6TavV0LZxIG0bB3LHwDaoqkp8ao6ta/GR88nEJGVxIbHgtnZPFABBvh62rsURwT74e+nRajVcSMwsdT9Fn3elC5oVSQqdlYRXx37Let/vTr6+2HJL1fF/GdihMS3G9Ob8L7vR++XblbRCQbKq1Vuv+nppra6qxYpnmH9Vw642DklcC38kEhISKl3Hhg0biI2N5f7773dESEKIeiAiIoLvvvuONWvW8Nhjj3HmzBmGDRvGpEmTePfdd2vN0jlCiH9cf/31uLm5YTKZirWoXmndunUATJgwgSVLlpCdnc1ff/3F4MGDSy2/fv16hg8f7vQZx0XdoSgKEcE+RAT7cEPP5kBBYnQ0OoWjlxPZU7GppGblsTXyIlsjL5ZSR8khJEV75+i0CnPGDyDI16PWJ7qu0CJcHcp6388s2ozZYl/LblVabHu8OAZDchbHvzCi8zTasYVKi5uP4RGUU+5Y2CtbXTU6LY2HdbYrLmdwSOLatWtX+vTpw549e4iPj6dhw4YVruPdd99l3bp1krgKISpszJgxxZbOWbJkCb/++isffPABd999d42cyDpqQhEh6jofHx/69u3Ltm3bOHr0KHFxcbaeW0WtX7+ejh07MnHiRJYsWQIUJLOlJa6nT58mOjqaV155pdrjF/Wbv7c7/TtG0L9jwTGbb7JwMiaVI9HJ7D4Rf7lL8T+uXCbtysdmi8qMpdttjxWKL4ByZaJbm8e8Xrkeb2mqIwl31n7NFvuS+Kp2X9botAx4dzz73/Qlas1eFK2mxGzDRfm1SMEzJKfceq9sdVW0GpqOvKbWLoUDDlzHdfHixfTv35+JEyfy888/o9frHVW1EEKUy8/Pj48++si2dM6xY8cYO3asbemcZs2aVev+q3NCESHqmhEjRrBt2zagoIvvlRetLRYLGzduZOLEifTr1w8fHx+ys7NZt24dr732Won6CltuR4wYYXvus88+Y/LkycXKzZ49m1mzZrFgwQIWL17MqVOn0Gg0dO3alaeffpo77rjD0W9V1HHublq6tgyla8tQerdtwLT5f1apvhKrdl7xhMls5fH/bcDXS4+nuw4PvQ5PvQ5P94K/HnptwXOXHxc8p8OjyOOi27m7aa+6/I+9SWFqVh5zlv9VLJkrkYRzRWuzRuGJMT0J9vdAp9Gg1WrQaZVi97UaDTqNcvlx8ftajUJKpoFJ7/1e7kSJFU3+7Xnf9nJES7VGp6XXjH/R6l/XcuabXVz47QBWswVFqwEUVNUKFpXKjIUtbHVVLVZa/7tvxd9gDXJY4tqxY0fbj0+vXr145ZVXGD16tCSwQoga1b9/f9vSOa+++ipr166lU6dOvPrqqzz++OPVunROTU0oIoSrGzFiBLNmzQIKks4rE9c9e/aQkZHBiBEjcHNzY/Dgwfz666/s37+flJQUgoOLz4S5fv16OnXqVKzldsiQISxfvhyA8ePHA2C1WrnjjjvIyMhg0qRJuLu789tvv7FmzRp27NjBokWLSiS7QtQ2qdl5pGbnOaw+D73WluB6FklyFWD/mQSsRZNASibXV05MWKhEEn7FY7NV5T/f/1214Evbbzmt3CazldVbTtAk1A9vdx2e7m54eejwcnfD012HIc/M04s2XTUZLkt1d+sO7NCY3rPupNv0UVzceARDYgamnHzcvN1J2HuW1CPnKjwWVu+bj6JTaX5zHwI7NHZovI6mqKo9/w3lK5wMxWAwsHv3bhRFQafT0aZNGwIDA8ucTKHQoUOHSE9Px2IpOW2zcL6cnBx8fHwAyM7Oxtvb28kRCVG+EydOMGXKFFvLTu/evfn0009l8hYhnMxisRASEkJ6ejoNGjQgLi6uWJf+V155hddee420tDS8vb354IMPePLJJwH46quvuPvuu0vUNWnSJP7zn/+Uur/Cuhs1asTNN9/MwoULi70+btw4Vq1aRUBAAPHx8Xh4eDj4HYv6oLQuoeUtk1YZz9/VmxA/LwxGM3mXb4Z8Mwbj5Vt+keeLvJZntBQrWxs0D/fDTafBbFExW6xYrNZi9y0WFXORv47JWqrHlf+3heOXsw3GUpN7R686YDVb2PHsclIOH7RzLGwBc66e4G7dGfDueDS66ru47wgOS1w1Gk2xH53Cau0dW6aqKoqiSOJaS0niKlyV1Wrls88+4/nnnycjIwOtVstzzz3HrFmzamzpHCFESXfccQc//PADUHDxuui6qwMHDkSn07F582YAjh07RqdOnQCYNGkSixcvtpXdtWsX/fr147fffuOmm24qdV+F5yJeXl7Ex8fj5+dX7PWNGzcybNgw4J9JnoSojCu7mF4tYUnNyuOV5X9hstif6DpqjKvVqpJvLkhk865IeguT3AuJmXy1+USV9lOeBY8Pr9DM+xarisVixXw5wT0dm8qLn2+r8H77dWiITqclN8+EId9Mbr6J3HwzhnwT2XkmhyfINfb/araw/801do2FLXy9xZje9HhxTK1PWsGBXYXhn2S1vOeEEKKmaDQapkyZwi233MITTzzBt99+y5tvvmlbOqfwZFUIUbNGjBhhS1zXr19vS1wzMzPZvXs3c+bMsZXt2LEjjRo1IjY2tsRMxOvXr8fd3Z3rrruu3H0OHjy4RNJaWH+h48ePS+IqKq2iy6Qtfc4564FrNIptzCs+pZc5HZtWpcTVnmStohMYajUKWo0WPQVJVpNQvxITI9qz38du61Hmv+Opi6k8+r8NFYqrPPZ0X3bE7MzljYUFFdViRaPT0nTUNbS+s2+t7x5clEMT12uvvZZHHnmkUtu+9957HD161JHhCCGETcOGDfnmm2/46aefmDZtGmfPnmX48OFMnDiRd999t8SYOSFE9So6kdL69et55plnANi0aRNms5kbbrihWPnhw4ezbNkyLl68yLFjx2zJ5vr16xkwYABeXuWf8LVr167U5wMD/2nxycjIqPB7EaKyavN64KXNll9eUni17rHVkYRfOTGiI5L/AB+PEu/b1VxtLKxnmD+Nh3Wu1bMHl8WhiWuLFi2YMGFCpbb96quvJHEVQlS7W2+9leuvv56XX36ZBQsWsHTpUtvSOffcc4+sASlEDWndujXNmzfn/PnzbN26lfz8fNzd3Vm3bh2BgYH07NmzWPkRI0awbNkyoGBZnI4dO5Kdnc2uXbuYN2+eXfv09fUt9Xl3939afczm2jH2T7g+V18mrSpJ4enYtFLrrI4k3NHJvz3vG0pfuqi2dTTV+3vR8vY+zg7DYeycc6r6SZdiIURN8fPz43//+x87duygU6dOJCUlce+99zJ69Giio6OdHZ4Q9UZhq6vBYGDHjh1AQQvqsGHD0GiKn6IMHz7cdmFp3bp1AGzZsgWTyVSs9fZqrqxTiOpUmAAteHy47Xa1cYyFiW5Rzk50wwK8aNMokDaNAm3J6ZUKk8I2jQLrzMz69rzv0pYuevHuPrw6cSA6bfH/xyuviV/52Nn/z67CYS2uP/zwA40bV76P9BdffIHBYHBUOEIIUa5+/fqxf/9+3n77bebNm8dvv/1Gx44defXVV3niiSeqdekcIURB4vrpp58CBQlrq1atOH36NM8++2yJsuHh4XTp0oXDhw+zZcsWjEYj69evJzQ0lGuuuaamQxfCLhVZJq0urQfurNZmZ7dyFybxy5w0drmuc1jietttt1Vp+7CwMAdFIoQQ9tPr9cyYMYN///vfTJkyha1bt/L000+zatUqPvvsM1k6p56YM2cOWq2WmTNnllt23rx5WCyWYpMHicopbFm1Wq2sX7+eli1bApQY31poxIgRHD58mNzcXLZv326bAVi6+Iu6ojavB16RpNBZSXh17Le0963TKpgtZfcWrc1jl12ZQ8e4CiGEq2rXrh2bNm3i888/57nnnuPvv/+mZ8+ePPvss8yePVuWzqnjtFots2bNArhq8jpv3jxmzZrF3Llzayq0Oi0oKIgePXrw999/s3//fr788kvb2NfSjBgxgvfeew+ApUuXcuzYsVJbZ4UQjlfRpNBZSbij91va+zaZrTz76WaXHb/sqqotcbVarezbt4/du3cTExNDeno6n3zyie31yMhIWrRoYVsbVAghnE2j0TB58mRuvvlmpk+fzjfffMNbb73Ft99+y8KFC2WJjDqsMFm9WvJaNGm1p2VW2GfEiBH8/fffqKrKpk2bmDp1apllr7vuOtzd3cnPz2flypVA2a2zQgjHq80twtWptPdtbxLv7O7LdYnDE1eTycS7777LggULiIuLK/Za0cT17bff5rvvvuPBBx9kzpw5shSFEKLWaNiwIV9//TU///yzbemcESNGMGHCBN577z35vqqjrpa8StJafUaMGMEbb7xhe3y1RNTT05MBAwawceNGrFarbX1XIYSoafYm8XVp7LKzOXR6vYsXL9KnTx9mzJhBXFycbabgsmYMzsvLY8GCBXTv3p2DBw86MhQhhKiyW265haNHj/LYY4+hKArLli2jQ4cOrFq1SmZCr6NmzpzJ3LlzmTVrlm2JFUlaq1fRNVi1Wi1Dhgy5avmiMwhfbTbhhIQEVqxYwYoVK2zPHT58mBUrVrBz504AcnJyyiyzfv36Sr0fIYS4UtFZiuvS7Ms1TVEddPaVlZVFv379OH78eKkndIqiYLFYbI8vXLjAypUr+fDDD0lISCAsLIxDhw4RHh7uiHCEg+Xk5Ni6dWdnZ+Pt7e3kiISoWbt27eKhhx6yrTd900038fHHH5c5Fk+4jszMTM6ePVvs9ueffxIVFYWiKKiqSteuXRk2bBghISGEhoYW+xsSEkJQUJAstVIFI0eO5Pfff6dfv3789ddfVy27b98+evXqBcCvv/7KqFGjSi23efPmMpPgCRMmsHTpUs6fP0+LFi1KLTN48GA2b95s/5sQtYpMuCZE3eOwxHXmzJm89tprAPTt25eHH36Y/v37ExERwZ133sm6deuKJa6F0tPT+de//sWmTZuYMGECS5YscUQ4wsEkcRUCjEYj77zzDvPmzSM/Px8vLy/mzZvHE088gU4nc93VVqqqkpiYyJkzZ0okqGfPniUpKanK+9BoNAQFBRVLZq9McK98rbCVUQjhePb2lJAeFUK4DockrhaLheDgYLKyspg1axazZ88u9vrIkSPLTFyhoLW2Q4cOpKamcunSJfz8Sl/oVziPJK5C/OPUqVNMmTKFLVu2ANCzZ08+++wzunfv7tzA6jGz2UxMTAxnz54tNUHNycm56vahoaG0atXKdjty5Ajff/89Op0Os9nMDTfcQPfu3UlKSiI5ObnY34yMjErF7OnpWaFENygoSNYWFqICyktKJWkVwrU4pIlg165dZGZmcv3115dIWu3h6+vL5MmTmTt3Ljt37uTGG290RFhCCFEt2rZty6ZNm1i8eDHPPvusreviM888w+zZs6UlrZoYDAbOnTtXanJ6/vx5zGZzmdsqikLTpk2LJadFb0UvmM6bN4/vv//edjJbeHI7cOBA3nrrrRJ1m0wmUlJSSiS1Vya4Rf8ajUYMBgMXLlzgwoULdr1/RVEICgqyO9ENCQnB29tb1jgV9ZZMuCZE3eKQxPXEiRMoisL48eMrXUe/fv1QVZXTp09L4iqEqPUUReHBBx9k9OjRTJ8+na+//pq3336bb7/9lk8++USWzqmk1NRUWzJ6ZXJ65Uz1V3J3d6dly5alJqbNmzfH3b38pQdKO5ktb6kcNzc3GjRoQIMGDex6j6qqkp2dXaFENy0tDVVVSUlJISUlhZMnT9q1Lw8PjzKT2tKeCw4Olm7vwqWoqkpeXh45OTlkZ2eX+Nu6dWtuvfVWZs2axebNmxk8eDC7d+9m7dq13Hfffdxwww2cPn2aoKAgAgICpFeDE8m4ZFEeh/w6JScnA9CqVatK1+Hp6QkUdBsWQghX0aBBA1avXs348eOZOnUq586dY8SIEdx///289957hISEODvEWsVqtRIXF1csIS2aoKanp191e39/f1q3bl1qctqoUaMqTZB0tRYYe9Z5tZeiKPj6+uLr60vLli3t2sZsNpOSkmJ3opuUlER+fj55eXlcvHiRixcv2h1fYGCg3YluaGgoPj4+LtWqKyfHzmG1WsnNzS0zwazKX6vVWn4AwMaNG9m4caPt8ZUzSgMEBAQQFBREUFAQgYGBtvtXuwUGBtp1YczVVfdnR6vV2vUdW/S7WtQvDklcPTw8gIJuXJVV+KPq6+vriJCEEKJG3XzzzQwePJgZM2Ywf/58vvjiC9auXcv777/Pvffe61In9lVlNBo5f/58iXGmZ86cISoqiry8vKtu37BhwzKT06CgoGr5t7Sn26Ajk9eK0ul0hIeH2z3zvqqq5OTklJvoFr2fmpqKqqqkpaWRlpbGqVOn7NqXXq+vUKIbHByMm5tbVf45qkROjq/OYrFUOHm0p0xubm61x+7h4YGPjw/e3t6l/l29ejVWqxWNRsOQIUNITU0lLS2N1NRUMjMzgYJJQ9PT0zl37lyF9u3t7V1uclva815eXi7z+1Ddnx17vmOli3f95pDENSIiAlVV2bx5c6W7+a5ZswZFUWjSpIkjQhJCiBrn6+vLBx98wL333svkyZOJjIzkvvvuY/ny5Xz88cdlLrvhirKyskqdoffMmTPExMRctQVEp9PRrFkzWrVqVSJBbdmypVPGCFssFrtOhApfL2uywdpCURR8fHzw8fGxe8kms9lMWlqa3YluUlISBoMBo9FIbGwssbGxdscXEBBgd6IbEhKCn5+fw07u68rJsdForJbWy/IuLDmCt7d3mcnl1RLPq/319va+ajffefPmYbVa0ev1GI1GBg8eXOz/1mQykZ6eTmpqaoVuhd34c3JyyMnJISYmpkL/Fnq93q5W3SuTYD8/vxpfgqsmPjsyLllcjUNmFU5MTKRhw4Z4e3uzf/9+WrduXez18mYV/uOPPxg1ahRarZakpCT8/f2rGpJwMJlVWIiKMZlMvPPOO8ydO9e2dM7cuXOZPn26S4whLFxCpqzktLwlZLy8vGzJ6JXJadOmTV3i30CULzc3t0KJbkpKSqlrvZfHzc2tQoluSEgIer3+qnWWdRLsyJNjVVXJz893WKtl0b8mk6lKsZVHo9FUOom82l9PT88aT7iu/D915P+x1WolMzOzwglvampqlf4PNRqN3V2Zi94CAgKq/P1bE5+duXPnMnv2bJ577jkmTZrEl19+ybx58yRpreccto7ryJEj+eOPP2jQoAELFy7k1ltvLfZaaYmr2Wzmo48+4qWXXiI/P5/bb7+db7/91hHhCAeTxFWIyjl16hQPP/wwmzdvBgqWzvn000/58ccfnT7OzmKxcOHChVKT07Nnz5KdnX3V7UNCQspMTsPDw12m+5uoORaLhbS0NLsT3eTk5HKXMiqLn59fuYnuL7/8wqeffspLL73E//3f/zF37lzefvttpk2bxn333eeQVkx7x19WlpubW7UkmO7u7nXiM1wTSVZlFLbSltaCW17CW9Vu1/7+/hUexxsUFFRsHK89FwNMJhMZGRmkpaXZumCXdb+014xGY7G4JWkVDktcDx8+TO/evW3LEbRu3ZrRo0fTvXt35s+fz/79+/n999/JysriwoULHDhwgLVr19rG1Hh4eHDw4EHatm3riHCEg0niKkTlqarKkiVLePbZZ0lLS0Or1dK3b1927NhR7g9xVU+uii4hc+Xt/PnzV73iXzh8o6zkVNbcFjXBYDBUKNFNTk6u9mSxMsobf1nZ7rHltSzXZ3V1Hde8vLxyE9zSXq/smtOFvLy8iiWyCQkJHD9+HI1Gg9VqpWnTpvj5+dkS0MpedCqNm5tbiURW1D8OS1wBVq5cyf3331/qa6qqlrhyV7hrRVFYvXo1d955p6NCEQ4miasQVZeQkMD06dNZvXo1UDDOLz09vconVWlpaaUuH3P27Nlyxx3q9foSS8gUJqj2LiEjRG1itVpJT0+3O9FNSkoq1rvA0S2X9oy/FI5n7/enqyavlWE2mys8jrcwAa7KxSBfX18CAwMJCAggICCg2P0rHxe9v2jRIl577TXbuOT68H8krs6hg4zGjRuHr68vDz74ICkpKQC2ZFVRlGKJauH9kJAQli1bxsiRIx0ZihBC1Drh4eF89dVXtqVzCifxmDVrFrm5ubzxxhu2skVPpv7v//6P2NjYMtc3TUtLu+p+/f39S8zOW5icVnUJGSFqG41GY2sRsqcXV+FnrfDk+IUXXpCT4zqgrk245gg6nc7WXb4irFYrWVlZJZLaFStW8Msvv6DVarFYLNx9991Mnjy5WALq5+dXqTG18+bN47XXXivRFRlqdkZ3Ucuo1SA5OVmdM2eO2qJFC1VRlFJvLVu2VOfOnaumpqZWRwjCwbKzs1VABdTs7GxnhyOEy8vMzFSfeOIJVVEU22drzJgx6m+//aaOHj1aBdR27dqpHTt2VD08PGxlyro1bNhQHThwoDphwgR17ty56sqVK9Xdu3erycnJqtVqdfbbFaJWmjt3rgqoc+fOLfWxEKJ01fnZKasu+XyKaklci4qJiVHXr1+vrl69Wl29erX6559/qjExMdW9W+FgkrgKUT12796tdunSpdzEVKvVqq1atVJvuOEGderUqeq7776r/vDDD+rhw4flMylEJcjJsRCVU52fnfLqkM9n/VblxDUnJ0e9dOmSajKZHBGPqKUkcRWi+hiNRvX111+3fcY0Go36zDPPqAsWLFD/+OMP9cyZM6rRaHR2mELUGXJyLETlVOdnx95t5fNZf1VqjGt0dDRvvPEGP//8M5cuXbI936VLF+655x6mT5+Op6dnZaoWtZSXl5dt8govLy8nRyNE3eLm5mabkb1wnJ2/vz9Tp051cmRC1D32TMZT+LyMqRPiH9X92ZFxyaI8FZ5VePXq1UyaNIn8/PxSFxFXFIVmzZqxdu1a2rdv77BAhRCirrJnPTwhhGPMmTPH6WsoC+GK5LMjnK1Cievvv//O6NGjSyxtU9rjBg0acODAAcLDwx0bsRBC1CFlJamSvAohhBBC/MPursL5+fk88MADtiRVVVV8fX1p3bo1Xl5epKamcvr0acxmM4qikJCQwBNPPGFbr1AIIURxV0tOpauiEEIIIcQ/7E5cV6xYwaVLl1AUhe7du/P2228zdOjQYi2tubm5rFixgpdffpnU1FS+//57oqOjadasWbUEL4QQrkrG2QkhhBBC2M/uxHXt2rUA9O/fnw0bNqDX60uU8fLyYsqUKVx//fX07duXjIwMfv/9dx5++GHHRSyEEHWATEIhhBBCCGE/u8e4tmjRggsXLnDgwAG6du1abvm33nqLl156iSlTprBw4cIqByqEEEIIIYQQon7S2FswOTmZZs2a2ZW0Atx+++227YQQQgghhBBCiMqyO3HNycmhefPmdldcWNZgMFQ0JiGEEEIIIYQQwsbuxBXAw8PD7rKFY2DtXW1n1apVzJ07tyLhCCGEEEIIIYSoByqUuFan5cuX88orrzg7DCGEEEIIIYQQtUytSVyFEEIIIYQQQojSSOIqhBBCCCGEEKJWs3sdV4DIyEgeeOCBCu3A3m0iIyMrVK/4R2RkJJ9//jkbNmwgJiYGVVVp3LgxQ4cO5cEHH6R79+7ODlEIIYQQQgghKs3udVw1Gg2KolRbIKqqoigKFoul2vZR11gsFubMmcPrr7+O1WrFw8ODTp06odFoiIyMJC8vD0VReP7553n11VfR6Sp0nUIIIYQQQgghaoUKdxVWVdXum73biMqZOnUqr776KlarlVtvvZWoqCj+/vtv9uzZw/nz5xkzZgyqqvLWW28xefJkZ4crhBBCCCGEEJVSoRZXT09PwsLCqiWQhIQE8vPzpcXVTosWLeLhhx8G4Nprr2Xbtm24ubkVK2MymRg0aBC7d+8G4KOPPmLatGk1HqsQQgghhBBCVEWFEtebbrqJtWvXVksgI0eOZN26dZK42iE7O5uWLVuSlJQEwI4dO+jfv3+pZf/66y8GDBgAQHBwMOfOncPPz6/GYhVCCCGEEEKIqpJZhV3Qxx9/bEta27VrV2bSCtC/f3/at28PQEpKCgsWLKiRGIUQQgghhBDCUWpN4ipjXe23evVq2/1bbrml3PJFyxTdVgghhBBCCCFcgd3TzEZFReHp6VltgXzxxRcYDIZqq7+uiI2NZd++fbbHvXr1KnebomUOHjxIdHQ0zZo1q5b4hBBCCCGEEMLR7E5cqzvRqa5Jn+qav//+u9jjjh07lrtN586diz3et2+fJK5CCCGEEEIIl1FrugoL+xw7dqzY44iIiHK3adiw4VXruFJOTk6ZNyGEEEIIIYSoaXa3uIra4ezZs7b7bm5uBAcHl7tNYGAg7u7u5Ofnl6ijND4+PmW+JmORhRBCCCGEEDVNWlxdTGZmpu2+l5eX3dsVLVu0DiGEEEIIIYSo7aTF1cVkZWXZ7ru7u9u9nYeHR6l1lCY7O7vigQkhhBBCCCFENZHE1cWYTCbbfZ3O/v++omWL1lEab2/vigcmhBBCCCGEENVEugq7mKJJZeGYVXvk5eWVWocQQgghhBBC1HaSuLoYX19f2/2iyWh5iia5ResQQgghhBBCiNpOElcXU3S929zcXIxGY7nbmM3mYuNWZc1cIYQQQgghhCuRxNXFdOjQwXZfVVXi4+PL3SY+Ph6r1VpqHUIIIYQQQghR20ni6mI6d+5c7PH58+fL3SY6OrrY406dOjkyJCGEEEIIIYSoVpK4uphevXoREBBge3zgwIFyt/n7779t9319fbn22murIzQhhBBCCCGEqBaSuLoYNzc3Ro8ebXu8ffv2crcpWmb06NHo9fpqiU0IIYQQQgghqoOiqqrq7CBExWzfvp1BgwYB4OnpSWJiIj4+PqWWzc7OJiwsDIPBAMCmTZu4/vrraypUIYQQQgghhKgyaXF1QQMHDmTkyJEAGAwG3n///TLL/ve//7UlrTfccIMkrUIIIYQQQgiXIy2uLio6Opo+ffqQmJiIp6cnf/zxh60VttD27du58cYbyc3NJSQkhD179tCiRQsnRSyEEEIIIYQQlSOJqwvbtWsXt9xyC8nJyXh4eDB16lSGDx+Ooihs2LCBBQsWYDAYCAoK4scff2TgwIHODlkIIYQQQgghKkwSVxcXFxfH9OnTWbNmDWazudhrWq2Wm2++mfnz59OkSRMnRSiEEEIIIYQQVSOJax2RkJDA1q1biYmJAaBx48YMGjSIhg0bOjkyIYQQQgghhKgaSVyFEEIIIYQQQtRqMquwEEIIIYQQQohaTRJXIYQQQgghhBC1miSuQgghhBBCCCFqNUlchRBCCCGEEELUapK4CiGEEEIIIYSo1XTODkCImqKqKrm5uc4OQwghhBBCiBrn5eWFoijODqPSJHEV9UZubi4+Pj7ODkMIIYQQQogal52djbe3t7PDqDTpKixqRE5ODoqioCgKOTk5NVaHI/YrhBBCCCGEq/Px8Sn1fNhVzpelxVXUG15eXmRnZ1+1TE5ODuHh4QAkJCSUelXKEWXsqcNVOOu9VMd+q1pnZbevyHb2lq3qcSrHaO3cryPqrEwdFd3GUcepfJe65n7lu7RufpeCc95Pde3TGcdpbfgudWWSuIp6Q1GUCn0peXt7l1veEWXsqcNVOOu9VMd+q1pnZbevyHb2lq3qcSrHaO3cryPqrEwdFd3GUcepfJe65n7lu7RyMbkCZ7yf6tqnM45TZ32XujLpKiyEEEIIIYQQolZTVFVVnR2EEPVNTk6ObaIoVx8oL+omOUaFK5DjVNR2cowKV+Aqx6m0uAohhBBCCCGEqNUkcRVCCCGEEEIIUatJV2EhhBBCCCGEELWatLgKIYQQQgghhKjVJHEVQgghhBBCCFGrSeIqhIszGo18/fXXjB07llatWuHh4YG3tzdt27Zl8uTJHDp0yNkhinouLy+PNWvWMHXqVHr27ElAQAA6nY7AwECuvfZa5s2bR1pamrPDFKIEq9VK3759URSF5s2bOzscUc+dP38eRVHKvf3+++/ODlUIAA4fPszUqVNp06YN3t7e+Pv70759e+655x4WLlxY4fokcRXChUVHR9O8eXPuvvtu9u/fz0svvcTGjRv57rvvGDVqFIsXL6Znz57897//dXaooh6bNm0at99+O1999RW33HIL3377LTt37uTjjz9Go9Ewa9YsOnfuzMmTJ50dqhDFvP/+++zevdvZYQhRjJeXF97e3mXedDqds0MUgjfeeIOePXsSFxfH22+/zdatW/nqq6/o1KkTq1ev5rHHHqtwnTI5kxAu7ODBg1xzzTW0adOGAwcOlFh3a/HixTz44IMArFu3jhEjRjgjTFHPTZw4kS+++IK//vqLvn37FnvNZDLRr18/9u3bx4gRI1i3bp2TohSiuHPnztGlSxc0Gg3Z2dk0a9aM8+fPOzssUY+dP3+eFi1aEBUVJT0ARK32v//9j8cff5yZM2cyd+7cEq+PHDmS9evXYzabK1SvtLgKYSdVVXn//ffx9PREURQmTpzo7JBsnn322VIXi540aRItW7YEYP78+TUdlqhhtfUYbdq0Kf/6179KJK0Abm5u3HXXXQDs2LGjpkMTokxTpkwhNDSUhx9+2NmhiBpWW79LhSiqth6nMTExvPDCC7Rp04bZs2eXWubdd99l0aJFFa5bElch7HDhwgWGDRvGU089RV5ensPqjYyM5Mknn6RLly4EBATg7+9Pp06dePzxxzl48GC524eHh/PCCy8wcuTIUl9XFIXOnTsDBeMMRN1VW49RgLlz5/LNN9+U+bq7uztQcDyLuq+2nmwV9dlnn7FhwwYWLlyIj4+Ps8MRNag2f5cKUag2H6cfffQRubm53HvvvWi12lLLdOrUiQceeKDiAapCiKtaunSp6ufnpwLFbhMmTKh0nWazWZ0xY4aq0WhUQPXw8FB79uyp9u7dW/Xw8FABVVEU9YUXXlBNJlOV4r/ttttUQO3UqVOV6hG1lysfoxaLRR0wYIAKqHPmzKl0PcI1REdHq0OGDHHYcVro8OHD6vTp09XOnTur/v7+qp+fn9qxY0f1scceUw8cOFChumJjY1V/f391/Pjxqqqq6uzZs1VAbdasWZXjFLVbbf8ujYqKUgE1Kiqq0vEI11fbj9PmzZurgPrrr79WOp6ySOIqRBkSExPVMWPG2L4QpkyZovbu3dshXxCTJ0+21XPrrbeq8fHxttcuXbpUbL8TJ06s0vvo2LGjCqgPP/xwleoRtY8rH6MZGRnqxo0b1RtuuEHVaDTqE088UeWLNKJ2q+0nW4Vuu+02NTQ0VE1OTlZVVRLX+sBVvksLE9cFCxaoo0ePVps3b656eXmpDRs2VEeNGqWuXLlSNZvNlY5V1G6ucJwmJCTYyh09elT97bff1FGjRqmhoaGqt7e32qZNG3XatGmVvvgiiasQZejbt68KqA0bNlTXrl2rqqqqDh48uMpfEJ988omtjmuvvVY1Go0lyhiNRvXaa6+1lfvoo48qta8jR46ogKrRaNTjx49Xqg5Re7niMXrkyBFbkgGo3bt3V7du3VqpOIVrcIWTrUJfffWVCqhffvml7TlJXOs+V/kuLUxcPT091RdffFHdvHmz+vfff6vLli2zXaQeMmSImp6eXql4Re3mCsfppk2bbGXuvPNO1dPTU33llVfUXbt2qVu3blUfe+wxVVEU1dfXV/3zzz8rHKskrkKUoVu3burdd9+tpqSk2J6r6hdEVlaWGhoaaqtjx44dZZbdsWOHrVxwcLCakZFR4f1NmDBBBdSXX365wtuK2s8Vj9G8vDw1MjJS3bVrl7pw4UK1ffv2qkajUSdPnqwaDIYKxytqP1c42VJVVU1OTlbDwsLUm2++udjzkrjWfa7yXRofH68OGTJE3bt3b6n769Kli+0ijqh7XOE4/e6774r1qPnmm29KlCn8Tg0KClITEhIqFK8krkKUobQPb1W/IN5++23b9u3atSu3fPv27W3l33jjjQrt6+eff1YBddCgQaWe0AnX5+rHqKqqak5Oji2xuO222yq8vaj9XOFkS1VV9b777lN9fX3VmJiYYs9L4lr31YXvUlX953cfUHft2lWpOkTt5QrH6fLly22vd+jQodQ6cnJyVG9vbxUqPreFzCosRBn69+/v8DpXr15tu3/LLbeUW75omaLblicyMpJx48bRtWtXfvrpJ9zc3CoWqHAJrnyMFvLy8uLtt98G4Mcff2TDhg0VrkPUbgsWLOCrr74iKCjIYXV+/PHHJCUlAdCuXburfhb69+9P+/btAUhJSWHBggUlyvz222+sWLGCt956i8aNGzssTuEa6sJ3KcDw4cNts7iuXbu2UnWI2ssVjlMPDw/b/YEDB5Zah5eXF7169QJg/fr1dscKshyOEDUmNjaWffv22R4XfmivpmiZgwcPEh0dXe42x48fZ8SIEURERPDHH38QEBBQqXhF/VNTx+iVBgwYYPuxk5Otuqe2n2xlZWXx8MMPM3DgQB555BHHBSnqLWd9l3p4eBAaGgrA+fPnK7y9qF+q4zgteoEyLCyszHoiIiKAgjVfK0ISVyFqyN9//13scceOHcvdpnAN1kJFv2BKc+zYMYYMGUJwcDCbN2+mQYMGFQ9U1Fs1cYyWRqvVEhwcDEB8fHyFtxf1i6NPtvbt20dMTAx//fUXbm5u6HS6Yre5c+cCEB0dXez5LVu2OPBdibrEWd+lAKqqVmo7Uf9Ux3FatA6LxVJmPZU9TiVxFaKGHDt2rNjjwqtNV9OwYcOr1lHU0aNHGTJkCCEhIWzatInw8HDba3l5eZw/fx6z2VzBqEV9Uh3HaGxsLK1bt2bbtm1l1qGqKpmZmQD4+fnZG66opxx9stW7d28iIyM5dOgQBw8eLHErbIWNiIgo9rw9CbOon6rr937KlCksWbKkzDoMBgPJyckANGvWzJ5QRT1WHcdpgwYNaNOmDXD11tS4uDgAmjdvbk+oNpK4ClFDzp49a7vv5uZma2G6msDAQNzd3Uuto6gjR44wZMgQwsPD2bRpU4nuGbt27aJFixZcvHixktGL+qA6jlGTycTZs2fZvXt3mXX8/fffZGVlAdC3b9+Khi3qGUefbHl7e9O5c+cyb4Xfp25ubsWe9/b2dsC7EXVRdf3er1u3jh9++KHMOv78809bK9fIkSMrErKoh6rrOB0/fjwAW7ZsKbVlNTc313bxcPTo0RWKWRJXIWpIYYsSFAxMt1fRskXrKHT48GGGDBlCw4YN2bhxo218ixAVVV3HKMCHH35IYmJiiefz8/N55plnAGjcuDF33XWX3fsV9VN1XgQUwhGq87t07dq17N27t8TzWVlZvPzyy0BB0tqvXz+79yvqp+o6Tp966ikaNWrExYsX+eyzz0q8/vbbb5OTk0Pjxo0rPK+ArkKlhRCVVtiiBBQ7gSpP0RnaitYBcObMGYYOHUpKSgpZWVlldrm42jgDIQpVxzGq1+txd3cnJiaGTp068cwzz9CzZ0+Cg4M5evQo//nPfzh48CCNGjXil19+qdCPp6ifqnKylZ+fX6KO0qSnp9t6qBRecDGZTBw5cgQoaKVt0aJFheIW9Ud1fJdCwVAKi8XCkCFDePrppxk0aBBBQUEcOXKEt956i+PHjzNgwABWrlxZtTcg6oXqOk59fHz49ddfGT58OI8++ijR0dHcfPPNmM1mVq9ezUcffWT7za/o8CBJXIWoISaTyXZfp7P/o1e0bNE6oKCLcEpKClDQclV4UiZEZVTHMRoREcHFixf5+uuvWbduHYsWLeLSpUuYTCYCAgLo1KkT77zzDlOmTJHxrcIu1XWyVdSaNWuYNGlSsefi4uLo0qULAIMHD2bz5s1271vUL9XxXQqwd+9efv75Z3755Re+/fZb/vOf/5Cfn09QUBA9evTgxRdf5N57763QPkX9VV3HKUC3bt04duwYb7/9tu1Y1Wg0tGnThpkzZzJ9+vRKLZEmR7YQNaToeKiKJJh5eXml1gEwZswYmUFQOEx1HKMAISEhTJs2jWnTplUtQCGo3pOtQhMnTmTixIkVjk0IqL7vUnd3d+68807uvPPOqgUoBNV3nBYKDQ3lnXfe4Z133qlcgKWQMa5C1BBfX1/b/aIf+vIU/TIpWocQjibHqHAF1X2yJURVyXepcAWueJxK4ipEDSk6029ubi5Go7HcbcxmM9nZ2aXWIYSjyTEqXIErnmyJ+kW+S4UrcMXjVBJXIWpIhw4dbPdVVSU+Pr7cbeLj47FaraXWIYSjyTEqXIErnmyJ+kW+S4UrcMXjVBJXIWpI586diz0+f/58udtER0cXe9ypUydHhiREMXKMClfgiidbon6R71LhClzxOJXEVYga0qtXLwICAmyPDxw4UO42f//9t+2+r68v1157bXWEJgQgx6hwDa54siXqF/kuFa7AFY9TSVyFqCFubm6MHj3a9nj79u3lblO0zOjRo9Hr9dUSmxAgx6hwDa54siXqF/kuFa7AFY9TSVyFqEGPPPKI7f7atWuLjbm6UnZ2NmvXrrU9fvjhh6s1NiFAjlFR+7niyZaof+S7VLgCVztOJXEVogYNHDiQkSNHAmAwGHj//ffLLPvf//4Xg8EAwA033MD1119fAxGK+k6OUeEKXO1kS9Q/8l0qXIGrHaeSuApRwz7++GPbjJavv/4627ZtK1Fm+/btvPnmmwCEhISwcOHCGo1R1G9yjIraztVOtkT9JN+lwhW40nGqqKqqOmXPQtRyCQkJTJgwodhze/bsIS0tDYCIiAi6dOlS7PVly5YRHh5ebt27du3illtuITk5GQ8PD6ZOncrw4cNRFIUNGzawYMECDAYDQUFB/PjjjwwcONBxb0zUGXKMCld1/fXXs2XLFgAmTJjA0qVLK1xHdHQ0ffr0ITExEU9PT/744w8GDRpUrMz27du58cYbyc3NJSQkhD179tCiRQtHvAVRh8h3qXAFcpxK4ipEmc6fP1/hE5yoqCiaN29uV9m4uDimT5/OmjVrMJvNxV7TarXcfPPNzJ8/nyZNmlQoBlF/yDEqXIGcbInaTr5LhSuQ41QSVyGcLiEhga1btxITEwNA48aNGTRoEA0bNnRyZEIUkGNUVIWcbAlRQL5LhSuozcepJK5CCCGEcHm1+WRLCCFE1UniKoQQQgghhBCiVpNZhYUQQgghhBBC1GqSuAohhBBCCCGEqNUkcRVCCCGEEEIIUatJ4iqEEEIIIYQQolaTxFUIIYQQQgghRK0miasQQgghhBBCiFpNElchhBBCCCGEELWaJK5CCCGEEEIIIWo1SVyFEEIIIYQQQtRqkrgKIYQQQgghhKjVJHEVQgghhBBCCFGrSeIqhBBCCCGEEKJWk8RVCCFEjYuOjmbBggXceuutdOzYkZCQENzc3AgKCqJt27bcdtttzJgxg3Xr1mEwGJwdrnCSlJQUhgwZQkBAAK+//nqN7PPcuXP06NGD4OBgli1b5rL7EEKIukZRVVV1dhBCCCHqh5iYGGbNmsUXX3yB1WoFoFmzZjRs2BBPT0/S0tI4efJksWTV3d2dIUOGMHbsWG6//XZ8fX2dFb6oYTNnzuTVV1+1PT5z5gytWrWq1n2OHz+eFStWAAXHXlpaGp6eni63DyGEqGukxVUIIUSN+Omnn2jfvj1Lly5Fr9cza9Yszp07x/nz59m5cycbN27kwIEDZGZmsmHDBkaNGgVAfn4+v//+OxMmTGDIkCFOfheiJlkslqs+ru59Wq1W2wWW0ixduhRFUVAUheuvv75a9iGEEKKAJK5CCCGq3aJFi7j99tvJzc2lSZMmHDx4kFdeeYUWLVqUKKvT6Rg6dCi//vor//vf/1AUxfaa2WyuybCFkz355JMMGjQIX19fZs6cSdu2bat9n3PmzKFr164EBgYyf/58vL29XXIfQghR1+icHYAQQoi6bcuWLUybNg2r1Yqvry/r1q2jXbt2dm376KOPEhsbyxtvvFHNUYraKCwsjK1bt9boPtu2bcuhQ4dcfh9CCFHXSIurEEKIapOamsrYsWNtXSNfeukl2rdvX6E6Zs+eTXh4eHWEJ4QQQggXIYmrEEKIavPhhx8SHx8PgJ+fH08++WSF63B3d+fBBx90cGRCCCGEcCXSVVgIIUS1yMnJ4X//+5/t8S233FLpmVNHjhxZ4eVQzp07x86dO0lISMBsNhMeHk6PHj3o0qVLpWKoiDNnznDo0CEuXLhAbm4ufn5+NG3alH79+hEWFlbpetPS0tiyZQsXL14kMzMTX19fmjRpwjXXXEOzZs0qVNfZs2fZtm0bly5dwt/fn+bNmzN06FDc3d0rHV9tkJeXx+7duzl27BhpaWno9XoaNGhA9+7d6dSpU7Ex064oNTXVdgxkZ2cTEhJCu3bt6N+/Pzpd1U/roqOj2b59OzExMXh7e9O1a1f69++Pm5ub3XWoqsrBgwc5ePAgSUlJWK1WgoOD6dy5M9dccw0eHh5VjlMIUQ+pQgghRDX48ccfVcB2W7FiRZXqMxgMan5+frnlfv31V7V79+7F9l301qJFC3XZsmWqxWKpUjxXOnHihPr000+rzZo1K3PfiqKot9xyi3rs2LEK133HHXeoWq22zLpbt26tPvfcc+qZM2euWtfJkyfVYcOGlVpHUFCQ+p///EdVVVWdPXt2qWUmTJigqqqq/ve//y319dmzZ5fYZ3x8fKllBw8eXGqMgwcPLrX8kiVLynxfBoNBnTlzphoQEFDmv1FoaKg6adIkdevWrSW2L+v/bdOmTcXKRUVFlVn/1f69KrKP0hw5ckS95ZZbVI1GU2od/v7+6qxZs9SsrKwy6/D39y9126ioKDUnJ0edMGFCqcdYy5Yt1S1btpQbo6qq6vLly9WWLVuW+e/h5eWl3nzzzerq1avt+jwLIUQhaXEVQghRLTZt2lTscefOnatUX3mtNFarlaeeeooPP/wQgAYNGjBt2jR69+6NTqcjMjKShQsXcurUKSZMmMCaNWtYuXKlw9bPnD59On/88QcATZs25eGHH6ZTp04EBQWRkJDApk2bWLZsGT///DMbN25kzZo1DB8+vNx6v/76a+6//37y8/Nxc3PjoYce4sYbbyQkJITk5GQ2b97M559/zpkzZ3jnnXd49913OXLkCB07dixR165du7jhhhvIysoCYODAgTzwwAO0bNmStLQ0fv/9d55//nnOnDlDaGiobbuIiAhbS3Xh3+bNm3PjjTcCEBkZSVxcXJnvwd3d3VY2NjaWI0eOXPU99+nTx/b/vWfPHtLS0q5aPj8/n5tuuoktW7YABS30//73v2nSpAn5+fmcPHmSBQsWcPbsWZYsWcKSJUuIioqiefPmtjoGDx5MQkICUDChWF5eXqn78vT0LPW9BAYG0qdPnxLli7bw27uPK3355ZdMnDgRo9GIXq/noYce4oYbbiAg4P/bu9OYqK42DuB/RRApw8hSEJVNFCUiIlYsVDviwmIpgv3QaqssWqMWapVUa7QuvFFoVTSI2gYNQo2IrQYVBFMVNGhksUpd2BFEEVAE2QzreT8YTubCzDAso7R9fskk98595pxz555JODz3nDsSjx49QkxMDFJSUhAcHIzTp08jOTlZZgb+s88+Q2NjIwAgLi5O8P3NnTsXGRkZsLe3h6mpKaqrq3Hr1i20tLSguLgYrq6uuH37tsx+1Wnz5s0IDQ3l571ixQqMHz8empqaKC4uRmxsLFJSUpCQkICEhARERUXB19dXqe+AEEIo40oIIUQlPvzwQ0Gm5fXr1yqtLygoiNdla2vLnj9/3i2mqamJubm58TgvL68Bq9/V1ZUBYLNnz2ZNTU0yYwoKCtiYMWMYADZy5Ej27NkzhWUmJCSwIUOGMABMW1ubpaeny4zLz89nxsbG/Lzu3LnTLebZs2dMT0+PxwQGBrKOjo5ucdevX2daWlps2rRpMrOGsvj4+CjMuEqLiorqMeMqTTr7Ki/junv3bh6zdetWmTEtLS3sq6++EmQZ5ZHOjCrKhvb2XPpSx/nz53kfEIlELCsrS2bctm3beHnm5uaspqZGYf3Sv80vv/ySjRs3rlu/KSkpYVZWVkr9Xm7evMnjnJ2dWWtrq8y4I0eOKJVBJ4SQrmhxJkIIISrRmVkCAC0tLZXOa7t69SrCwsIAAGpqaoiLi4OBgUG3uBEjRuDkyZMYOXIkACA+Ph5Hjx4d0LYcPnxYbhZ3/Pjx2Lt3LwCgtrYW+/fvl1tOdXU1fHx8wBgDAISFhcnM6AHAhAkTcPDgQYXt2rBhA16+fAkAsLa2xv79+2XO95w9eza2b9+OO3fuKCxvMDlx4gTfXrNmjcwYdXV1HDp0aMAy7G/Dixcv4OvrK+gD06dPlxm7c+dOSCQSAEBJSQkCAgKUruf06dO4cOEC7OzsBO+bmZlh3759fD8xMZFnbLuSvgYrV66UO9929erVcHJyUrpthBDSiQauhBBCVKK6uppva2trq7Su4OBg/sf9okWLFD5yR1dXFytXruT7u3bt4o/r6Y9du3bh8uXLPd4S7ebmxrfPnz8vNy4iIoJ/h4aGhvDz81NYrpeXl9yFn8rLy/H777/z/XXr1kFNTU1uWatXr/5HLdJUVFTEtxWdl46ODiQSCYyMjBTGDRYRERH8nw2GhoY93lb7/fff8+3Y2FgUFBQoVc/ixYvl3gK8YMECaGhoAABaW1vl3uat7DUA3vwGjIyM/lH/RCCEvHs0cCWEEKISr1+/5tudf/iqQmlpKZ/bCAAeHh49fubTTz/l2yUlJUhNTe13O6ZPn4558+b1GNeZ7QWA3NxcNDc3y4w7fvw433Zzc+txxVg1NTX4+/tDIpF0+0fB2bNn0dbWxvfd3d0VlqWjo4OZM2cqjBlMtLS0+LZ0hlCWpKQkVFRUwMTERNXN6rfo6Gi+rUwfmD9/Ph8MdnR0ICYmRql6Fi5cKPfY8OHDYWpqyvflzWWWvgYHDx5Ea2ur3DJ//PFHVFRU4PPPP1eqfYQQAtDAlRBCiIro6+vz7YaGBpXVc/36dcG+ra1tj5/pGtO1jP5oaGhAXFwcNm7ciKVLl8LDwwNubm6Cl7TOjJq0x48fo6SkRG575QkJCUFqairGjx8veP/WrVt8WywWCwYi8lhbWytV52DQuVgSAOzZswceHh64du0az8L/E5WVlfW6DwwfPhxWVlZ8X9l+3dO11tPT49vyfsvS1+DGjRuYNm0aYmNj5f5jhhBCeotWFSaEEKISBgYGqKioAKDagWteXp5gX5lB2ciRIyESifjquvn5+YLjim41BgBvb2+EhIQI3mtpacHu3buxd+9eufMAZZH1h33Xc+rtM1q7Kiws5Ntjx45V6jPSmeHBLjQ0FKmpqby/JSYmIjExESYmJli0aBE8PT0hkUhUmvkfaH3p151x2dnZALr3a3l6utbS89Pl3Vbv7++P2NhYfvfDgwcPsHTpUujo6GDhwoXw9PSEu7v7P6pfEUIGF8q4EkIIUYkJEybw7ba2Njx79kwl9UjPpQWUn08rHde1jLy8PIWvrufS1tYGb29v7Ny5E42NjRCJRAgNDUVubi5ev34Nxpjg1ZOuWdj33ntPqXOSp7a2ttdlqXIxrYFmZmaGzMxMLF68WLDgVFlZGSIiIuDi4oJRo0bhm2++EczFHMxU0a/lUVdXV3hc1iJesspITk7Gpk2bBHNX6+rqcOrUKSxduhRGRkbw9vYe0DscCCH/HTRwJYQQohJz584V7D948OAdtUT1Dh06hIsXLwIAhg0bhitXrmDTpk2YOHHigAwAlRk4vIuyBpOxY8fizJkzyM3NxdatWwW3zAJATU0NDh8+jMmTJytczZn0naamJkJDQ/H48WOEh4fjo48+EvS3lpYWxMfHQyKRYPny5Uo/x5YQQgAauBJCCFERFxcXwX5GRoZK6pGeSwsof1uydFzXMrpmSLu+pBdOAoAjR47wbW9vb8yYMaOXZyHU13OSR/r2TGXLUtXcRFXPebSyssL//vc/5OXlITs7Gz/88AOMjY0F9W/YsKHbNRxsVNGv3xYDAwMEBgYiLS0NT548QVhYGKZOnSqI+e2337B69ep30j5CyD8TDVwJIYSohJWVlWAhojNnzvS5rC1btsDDwwMeHh64cuWK4NjEiRMF+48fP+6xvNraWj6/tbOtfdXY2CiYj+jo6Njnsjr15ZwUkV6sqaysTKnP1NTUKF2+9ONPehqY9qbc/rK1tUVISAhKS0tx4MABwRzXnTt3vrV29EVf+4B0XH/69UAZPXo01q9fj7t37+LixYsYM2YMPxYTEyNYgIoQQhShgSshhBCVkR4c/PXXX7h9+3avy6isrMSePXuQmJiIy5cvY9q0aYLjH3/8sWD/77//7rHMrjESiaTX7er06tUrwb5IJFIYr0zG0cTEBBYWFnxfmXMC3jz25pdffuG3LXeSHkzX1dUpNQjKzc1Vqk5AOG9W1irJ0h4+fKh0ucq6desW7ty5I/e4uro61q1bh+DgYP5eSUkJXrx4MeBtGSgmJiYwNzfn+8r0gebmZsGCTP3p17318OFD3Lp1S2H/dnd3F/wDizGGrKyst9E8Qsi/AA1cCSGEqIyDgwMCAgL4flBQUK/LCA4O5s+EDAgIEDyaA3izMM+cOXP4fkJCQo9lXrhwgW+bm5v36w98PT09wTy+p0+fKoxXdqVXX19fvp2cnCx3NddOTU1NWL58OdasWSN4/A0ALF68WPAM0KSkJIVl1dfXIz09Xal2Am+yap26roYrra2tDcnJyUqXqyxHR8duc6pl6fq80v7O95X+Tjs6OrodT09PR3Jycp8XhOraB6SfxSvL5cuX+fOThw4dimXLlvWp3r5Yu3YtHB0dkZOTozBu5syZgt/wv3XONSFk4NHAlRBCiErt37+fDwyvXbuGTZs2Kf3ZM2fO8PmjFhYW2LZtm8y4bdu28T+Az507p3DwVFNTg6NHj/L9LVu2CG517S1NTU3Y29vz/fj4eIXx0dHRSpUbEBAAAwMDAG+yzjExMQrjIyMj0djYCDU1Nfj5+QmOGRsb44svvuD74eHhCgfCv/76a68WzpE+//T0dLmr2UZERKgsy1lbW8sfAyOP9G3KxsbG/Z4Dqqury7dlzUH19/eHu7s7zp0716fyAwICeBurqqp6nJe7Z88evr1kyRLByt5vS+fjcORpbm7mg2sAsLGxUXWTCCH/FowQQghRsZcvXzJnZ2cGgAFgfn5+rKamRm58W1sb27dvHxs2bBgDwPT19dn9+/cV1hEUFMTLnzJlCnv+/Hm3mKamJubm5sbjvLy8+ntqjDHGjh8/zssEwIKDg2XGJSUl8XPqfD169EhuuYmJiWzIkCEMANPR0WFZWVky49LS0pi2tjYDwL777juZMZWVlczAwIDXGxgYyDo6OrrF3bhxg2lpaTFLS0se6+Pjo/D8W1pamL6+Po/39PQUXN/29nYWGRnJNDQ02IoVK3icRCJRWC5jjEkkEh4fFRUlM6bz+KxZs1hDQ4PcNrq6uvZ4jRhjzMzMjMelpKTIjSstLeVxIpGItbS08GPl5eVMQ0ODAWCXLl3qcx3nz5/nfUAkErHMzEyZcdu3b+flmZubK/x9McaU7oOMKXcNOmMMDQ1Zfn6+3LKCg4N5WXPnzlVYLyGESBvCmBIPlCOEEEL6qa2tDRs3bsTBgwfR1tYGsVgMLy8vODs7w9jYGJqamqiqqkJWVhZOnTqF0tJSAICdnR3++OMPWFpaKiy/o6MD69evR3h4OABg1KhRWLt2LRwcHDBs2DDcu3cPR44c4bfqenl54eTJk4JnTvYVYwxLlixBXFwcf8/V1RXLli2DqakpampqcOHCBRw/fhyrVq3C4cOHedzHH3+MESNGwMjISGY29vTp01i+fDmam5uhoaGBFStWwMXFBfr6+qiqqkJSUhKio6PR1tYGNzc3xMfHY/jw4TLbmZGRgQULFqCurg4AMGvWLKxcuRLm5uaora1FcnIyjh07Bm9vb1hbW/M5yj4+Pj1m+yIjI7Fq1Sq+P2LECNjZ2UFDQwM5OTmoqqrC5s2bYWVlxTPCurq6cHBwAAA4OTnxjPrGjRv5nM6MjAyeKbWxseGL+/z888+wtbUFILzd1NTUFP7+/vjggw8gFovx4sUL5ObmIjIyEsXFxQCATz75BGfPnhUs1uTj44PKykoAb7KGnRnnGTNm8Ftbo6OjYWRkJDjvOXPm8CzjkiVL4Ovri/r6evz000/IzMyEhYUF8vLyoK6u3uc6Tp48CT8/P7S0tEBDQwNff/01XFxcIBaLUVJSgpiYGFy9ehUAMGnSJCQlJQnmx3aS/l4vXbrE35fVB//880/s27dP6Wvg7OyM1NRUAG/mPPv5+UEikWDUqFGor69HaWkpTpw4gRs3bgAALC0tcfXqVZiamnZrJyGEyPSOB86EEEL+YwoKCpiPjw/T1dUVZH26vmbMmMGOHTvG2tvbe1V+QkICs7Ozk1uuhYUFi4qK6nW5PWlvb2e7du1iYrFYZr2GhoYsMjKSMcZkHjczM5Nbdk5ODvP29mZqamoyP2tgYMBCQkJYa2trj+3Mz89n8+fPl1mOtrY227FjB2tvbxdk8HrKuHYKDw9nIpGoW7lisZiFhYUxxhiLioqSWfeiRYt4OdIZPnkv6SzlvXv32LfffstMTU0Vfmbs2LHswIEDMr8n6QyovJeszGRxcTGzsbGRGW9pacmys7P7XQdjjN2/f595enqyoUOHyvycWCxmW7duZXV1dXKvT0/fq3QflHed5F2DiooKtnv3bjZ16lSFnxGJRCwwMJC9fPlSbjsJIUQWyrgSQgh5J9rb25GZmYnCwkJUVlaiubkZYrEY5ubmsLe3Fzx7sy+Ki4tx8+ZNVFRUoKOjA4aGhrC3t+cZIlVpbGxEWloacnJy0NjYCD09PUyePBlOTk6CxXz6oqamBqmpqSgrK0N9fT3EYjFsbGzg6OgoN8sqT1FREa5fv47KykqIRCKYmZlh3rx5PAO9Y8eOXmVcO9XV1SElJQWFhYVgjGHcuHGYP38+dHR0etW+viooKMC9e/fw5MkT1NfXQ11dHe+//z6mTp0KOzs7DB068Mt7MMaQlpaGu3fv4tWrV9DW1saUKVMwZ86cfs2flqW6uhrXrl3DkydP0NDQAH19fUyaNAlOTk5QV1cf0Lr6qqKiAtnZ2SgqKkJtbS2GDBkCXV1dWFtbw8HBYUDuciCE/PfQwJUQQggh3fR14EoIIYSoAq0qTAghhBBCCCFkUKOBKyGEEEIIIYSQQY0GroQQQgghhBBCBjWa40oIIYQQAMJHoBQWFqKoqAgAMHr0aEyZMgUAsGDBAgQFBb2zNhJCCPlv6t/yhoQQQgj513j69Kng+Z6dysvLUV5eDuDN83EJIYSQt40yroQQQgghhBBCBjWa40oIIYQQQgghZFCjgSshhBBCCCGEkEGNBq6EEEIIIYQQQgY1GrgSQgghhBBCCBnUaOBKCCGEEEIIIWRQo4ErIYQQQgghhJBBjQauhBBCCCGEEEIGNRq4EkIIIYQQQggZ1P4PrYdycQQ6BiYAAAAASUVORK5CYII=",
+ "text/plain": [
+ "<Figure size 1000x1000 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_data_lims: (65, 1181447)\n"
+ ]
+ },
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- "<Figure size 1600x900 with 1 Axes>"
+ "<Figure size 1000x1000 with 1 Axes>"
]
},
"metadata": {},
@@ -12953,34 +15210,34 @@
"# plot a version of excess over random expectation percentage of neighboring coacquisitions\n",
"# but only for count.mp, gloome.ml, ale, wn\n",
"\n",
- "fig5, ax = plt.subplots(figsize=(16, 9))\n",
+ "fig5, ax = plt.subplots(figsize=(10, 10))\n",
"# set font size for this figure\n",
- "plt.rcParams['font.size'] = plt.rcParams['axes.labelsize'] = plt.rcParams['axes.titlesize'] = 30\n",
+ "# plt.rcParams['font.size'] = plt.rcParams['axes.labelsize'] = plt.rcParams['axes.titlesize'] = 30\n",
"# axins = ax.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
+ "to_plot_methods = [\"count.mp\", \"gloome.ml\", \"gloome.mp\", \"ale\", \"wn\"]\n",
"ax, axins = plot_data_with_inset(\n",
" ax,\n",
" None,\n",
" coacquisitions_summary_df[\n",
- " coacquisitions_summary_df[\"method\"].isin(\n",
- " [\"count.mp\", \"count.ml\", \"gloome.ml\", \"ale\", \"wn\"]\n",
- " )\n",
+ " coacquisitions_summary_df[\"method\"].isin(to_plot_methods)\n",
" ],\n",
" \"coacquisitions with known positions\",\n",
- " \"observed minus expected percentage of neighboring coacquisitions (max 1 intervening genes)\",\n",
+ " \"neighbor (max 1 intervening genes) percentage\",\n",
" marker_styles_dict,\n",
" None,\n",
" None,\n",
" \"Co-acquisitions\", # x axis label\n",
- " \"Corrected percentage of neighbors\", # y axis label\n",
+ " \"Percentage of neighboring co-acquisitions\", # y axis label\n",
+ " markersize_dict={'count.mp': 1.5*plt.rcParams['lines.markersize']},\n",
")\n",
"\n",
"# annotate the maximum point in each method with the method name (using the method label)\n",
- "for method in [\"count.mp\", \"count.ml\", \"gloome.ml\", \"ale\", \"wn\"]:\n",
+ "for method in to_plot_methods:\n",
" method_df = coacquisitions_summary_df[\n",
" coacquisitions_summary_df[\"method\"] == method\n",
" ]\n",
" max_obs_minus_exp = method_df[\n",
- " method_df[\"observed minus expected percentage of neighboring coacquisitions (max 1 intervening genes)\"] == method_df[\"observed minus expected percentage of neighboring coacquisitions (max 1 intervening genes)\"].max()\n",
+ " method_df[\"neighbor (max 1 intervening genes) percentage\"] == method_df[\"neighbor (max 1 intervening genes) percentage\"].max()\n",
" ]\n",
" \n",
" # find smallest x value on x axis in the figure\n",
@@ -13001,27 +15258,89 @@
" ax.annotate(\n",
" marker_styles_dict[method]['label'],\n",
" (max(min_x, max_obs_minus_exp[\"coacquisitions with known positions\"].values[0]),\n",
- " min(min_y, max_obs_minus_exp[\"observed minus expected percentage of neighboring coacquisitions (max 1 intervening genes)\"].values[0])),\n",
+ " min(min_y, max_obs_minus_exp[\"neighbor (max 1 intervening genes) percentage\"].values[0])),\n",
" # offset the text to the right and up\n",
" textcoords=\"offset points\",\n",
- " xytext=(5, 5), # 5 points to the right and 5 points up\n",
+ " xytext=(0, 12) if not method == 'gloome.mp' else (0, -30), \n",
" ha='center',\n",
" # color based on marker_styles_dict\n",
" color=marker_styles_dict[method]['marker_color'],\n",
" # fontsize scaled by 0.8\n",
" fontsize=0.8*plt.rcParams['font.size']\n",
" )\n",
- " \n",
+ "\n",
"\n",
"save_and_show_plot(\n",
" fig5,\n",
- " f\"{plots_dir}/observed_minus_expected_percentage_of_neighboring_coacquisitions_subset.png\",\n",
- ")\n"
+ " f\"{plots_dir}/observed_percentage_of_neighboring_coacquisitions_subset.jpg\",\n",
+ ")\n",
+ "\n",
+ "\n",
+ "# same as above but only gloome versions\n",
+ "fig6, ax = plt.subplots(figsize=(10, 10))\n",
+ "to_plot_methods = [\n",
+ " \"gloome.mp\", \"gloome.ml\", \"gloome.mp.without_tree\", \"gloome.ml.without_tree\"\n",
+ "]\n",
+ "ax, axins = plot_data_with_inset(\n",
+ " ax,\n",
+ " None,\n",
+ " coacquisitions_summary_df[\n",
+ " coacquisitions_summary_df[\"method\"].isin(to_plot_methods)\n",
+ " ],\n",
+ " \"coacquisitions with known positions\",\n",
+ " \"neighbor (max 1 intervening genes) percentage\",\n",
+ " marker_styles_dict,\n",
+ " None,\n",
+ " None,\n",
+ " \"Co-acquisitions\", # x axis label\n",
+ " \"Percentage of neighboring co-acquisitions\", # y axis label\n",
+ ")\n",
+ "for method in to_plot_methods:\n",
+ " method_df = coacquisitions_summary_df[\n",
+ " coacquisitions_summary_df[\"method\"] == method\n",
+ " ]\n",
+ " max_obs_minus_exp = method_df[\n",
+ " method_df[\"neighbor (max 1 intervening genes) percentage\"] == method_df[\"neighbor (max 1 intervening genes) percentage\"].max()\n",
+ " ]\n",
+ " \n",
+ " # find smallest x value on x axis in the figure\n",
+ " min_x = ax.get_xlim()[0]\n",
+ " # round this value up to nearest 10^5\n",
+ " min_x = 10**np.ceil(np.log10(min_x))\n",
+ " # same for y but max of y-axis\n",
+ " min_y = ax.get_ylim()[1]\n",
+ " # round it down to nearest 0.1\n",
+ " min_y = np.floor(min_y*10)/10\n",
+ "\n",
+ " if method == \"wn\":\n",
+ " min_y = 0.15\n",
+ " if method == \"ale\" or method == \"wn\":\n",
+ " min_x = 1e4\n",
+ " \n",
+ "\n",
+ " ax.annotate(\n",
+ " marker_styles_dict[method]['label'],\n",
+ " (max(min_x, max_obs_minus_exp[\"coacquisitions with known positions\"].values[0]),\n",
+ " min(min_y, max_obs_minus_exp[\"neighbor (max 1 intervening genes) percentage\"].values[0])),\n",
+ " # offset the text to the right and up\n",
+ " textcoords=\"offset points\",\n",
+ " xytext=(-10, 10), # 5 points to the right and 5 points up\n",
+ " ha='center',\n",
+ " # color based on marker_styles_dict\n",
+ " color=marker_styles_dict[method]['marker_color'],\n",
+ " # fontsize scaled by 0.8\n",
+ " fontsize=0.8*plt.rcParams['font.size']\n",
+ " )\n",
+ "\n",
+ "save_and_show_plot(\n",
+ " fig6,\n",
+ " f\"{plots_dir}/observed_percentage_of_neighboring_coacquisitions_gloome_subset.jpg\",\n",
+ ")"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
@@ -13070,497 +15389,661 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>31</th>\n",
- " <td>ale</td>\n",
- " <td>200</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>0.076793</td>\n",
- " <td>0.423207</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>...</td>\n",
- " <td>0.269621</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>1.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>0.307171</td>\n",
- " <td>0.192829</td>\n",
- " <td>73.0</td>\n",
- " <td>36.500000</td>\n",
- " <td>0.92</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
+ " <th>4</th>\n",
" <td>ale</td>\n",
" <td>500</td>\n",
- " <td>4.0</td>\n",
- " <td>0.800000</td>\n",
+ " <td>2.0</td>\n",
+ " <td>0.400000</td>\n",
" <td>1.0</td>\n",
" <td>0.200000</td>\n",
- " <td>0.075177</td>\n",
- " <td>0.724823</td>\n",
- " <td>4.0</td>\n",
- " <td>0.800000</td>\n",
+ " <td>0.073977</td>\n",
+ " <td>0.326023</td>\n",
+ " <td>2.0</td>\n",
+ " <td>0.400000</td>\n",
" <td>...</td>\n",
- " <td>0.774469</td>\n",
- " <td>5.0</td>\n",
- " <td>1.000000</td>\n",
+ " <td>0.378068</td>\n",
+ " <td>3.0</td>\n",
+ " <td>0.600000</td>\n",
" <td>1.0</td>\n",
" <td>0.200000</td>\n",
- " <td>0.300708</td>\n",
- " <td>0.699292</td>\n",
- " <td>157.0</td>\n",
- " <td>31.400000</td>\n",
- " <td>0.86</td>\n",
+ " <td>0.295909</td>\n",
+ " <td>0.304091</td>\n",
+ " <td>152.0</td>\n",
+ " <td>30.400000</td>\n",
+ " <td>0.85</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>33</th>\n",
+ " <th>5</th>\n",
" <td>ale</td>\n",
" <td>1000</td>\n",
- " <td>5.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>1.0</td>\n",
- " <td>0.100000</td>\n",
- " <td>0.071542</td>\n",
- " <td>0.428458</td>\n",
- " <td>5.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>...</td>\n",
- " <td>0.385375</td>\n",
" <td>6.0</td>\n",
" <td>0.600000</td>\n",
- " <td>1.0</td>\n",
- " <td>0.100000</td>\n",
- " <td>0.286167</td>\n",
- " <td>0.313833</td>\n",
- " <td>210.0</td>\n",
- " <td>21.000000</td>\n",
+ " <td>3.0</td>\n",
+ " <td>0.300000</td>\n",
+ " <td>0.071961</td>\n",
+ " <td>0.528039</td>\n",
+ " <td>7.0</td>\n",
+ " <td>0.700000</td>\n",
+ " <td>...</td>\n",
+ " <td>0.584117</td>\n",
+ " <td>8.0</td>\n",
+ " <td>0.800000</td>\n",
+ " <td>3.0</td>\n",
+ " <td>0.300000</td>\n",
+ " <td>0.287844</td>\n",
+ " <td>0.512156</td>\n",
+ " <td>219.0</td>\n",
+ " <td>21.900000</td>\n",
" <td>0.81</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>34</th>\n",
+ " <th>6</th>\n",
" <td>ale</td>\n",
" <td>2000</td>\n",
- " <td>10.0</td>\n",
- " <td>0.500000</td>\n",
- " <td>2.0</td>\n",
- " <td>0.100000</td>\n",
- " <td>0.066968</td>\n",
- " <td>0.433032</td>\n",
" <td>12.0</td>\n",
" <td>0.600000</td>\n",
+ " <td>5.0</td>\n",
+ " <td>0.250000</td>\n",
+ " <td>0.067966</td>\n",
+ " <td>0.532034</td>\n",
+ " <td>15.0</td>\n",
+ " <td>0.750000</td>\n",
" <td>...</td>\n",
- " <td>0.549096</td>\n",
+ " <td>0.646103</td>\n",
" <td>18.0</td>\n",
" <td>0.900000</td>\n",
- " <td>2.0</td>\n",
- " <td>0.100000</td>\n",
- " <td>0.267872</td>\n",
- " <td>0.632128</td>\n",
- " <td>308.0</td>\n",
- " <td>15.400000</td>\n",
+ " <td>7.0</td>\n",
+ " <td>0.350000</td>\n",
+ " <td>0.271863</td>\n",
+ " <td>0.628137</td>\n",
+ " <td>325.0</td>\n",
+ " <td>16.250000</td>\n",
" <td>0.77</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>35</th>\n",
+ " <th>7</th>\n",
" <td>ale</td>\n",
" <td>5000</td>\n",
- " <td>25.0</td>\n",
- " <td>0.500000</td>\n",
+ " <td>28.0</td>\n",
+ " <td>0.560000</td>\n",
" <td>9.0</td>\n",
" <td>0.180000</td>\n",
- " <td>0.064589</td>\n",
- " <td>0.435411</td>\n",
- " <td>32.0</td>\n",
- " <td>0.640000</td>\n",
+ " <td>0.063842</td>\n",
+ " <td>0.496158</td>\n",
+ " <td>36.0</td>\n",
+ " <td>0.720000</td>\n",
" <td>...</td>\n",
- " <td>0.626232</td>\n",
- " <td>52.0</td>\n",
- " <td>1.040000</td>\n",
- " <td>22.0</td>\n",
- " <td>0.440000</td>\n",
- " <td>0.258358</td>\n",
- " <td>0.781642</td>\n",
- " <td>694.0</td>\n",
- " <td>13.880000</td>\n",
+ " <td>0.688474</td>\n",
+ " <td>51.0</td>\n",
+ " <td>1.020000</td>\n",
+ " <td>17.0</td>\n",
+ " <td>0.340000</td>\n",
+ " <td>0.255368</td>\n",
+ " <td>0.764632</td>\n",
+ " <td>641.0</td>\n",
+ " <td>12.820000</td>\n",
" <td>0.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>36</th>\n",
+ " <th>8</th>\n",
" <td>ale</td>\n",
" <td>10000</td>\n",
- " <td>36.0</td>\n",
- " <td>0.360000</td>\n",
- " <td>12.0</td>\n",
- " <td>0.120000</td>\n",
- " <td>0.061877</td>\n",
- " <td>0.298123</td>\n",
- " <td>54.0</td>\n",
- " <td>0.540000</td>\n",
+ " <td>41.0</td>\n",
+ " <td>0.410000</td>\n",
+ " <td>14.0</td>\n",
+ " <td>0.140000</td>\n",
+ " <td>0.062669</td>\n",
+ " <td>0.347331</td>\n",
+ " <td>58.0</td>\n",
+ " <td>0.580000</td>\n",
" <td>...</td>\n",
- " <td>0.514368</td>\n",
- " <td>90.0</td>\n",
- " <td>0.900000</td>\n",
- " <td>39.0</td>\n",
- " <td>0.390000</td>\n",
- " <td>0.247510</td>\n",
- " <td>0.652490</td>\n",
- " <td>1330.0</td>\n",
- " <td>13.300000</td>\n",
- " <td>0.58</td>\n",
+ " <td>0.551993</td>\n",
+ " <td>93.0</td>\n",
+ " <td>0.930000</td>\n",
+ " <td>41.0</td>\n",
+ " <td>0.410000</td>\n",
+ " <td>0.250677</td>\n",
+ " <td>0.679323</td>\n",
+ " <td>1320.0</td>\n",
+ " <td>13.200000</td>\n",
+ " <td>0.59</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>37</th>\n",
+ " <th>9</th>\n",
" <td>ale</td>\n",
" <td>20000</td>\n",
- " <td>65.0</td>\n",
- " <td>0.325000</td>\n",
- " <td>28.0</td>\n",
- " <td>0.140000</td>\n",
- " <td>0.061771</td>\n",
- " <td>0.263229</td>\n",
- " <td>99.0</td>\n",
- " <td>0.495000</td>\n",
+ " <td>66.0</td>\n",
+ " <td>0.330000</td>\n",
+ " <td>27.0</td>\n",
+ " <td>0.135000</td>\n",
+ " <td>0.061781</td>\n",
+ " <td>0.268219</td>\n",
+ " <td>100.0</td>\n",
+ " <td>0.500000</td>\n",
" <td>...</td>\n",
- " <td>0.449686</td>\n",
- " <td>156.0</td>\n",
- " <td>0.780000</td>\n",
- " <td>69.0</td>\n",
- " <td>0.345000</td>\n",
- " <td>0.247086</td>\n",
- " <td>0.532914</td>\n",
- " <td>2384.0</td>\n",
- " <td>11.920000</td>\n",
+ " <td>0.459657</td>\n",
+ " <td>157.0</td>\n",
+ " <td>0.785000</td>\n",
+ " <td>71.0</td>\n",
+ " <td>0.355000</td>\n",
+ " <td>0.247124</td>\n",
+ " <td>0.537876</td>\n",
+ " <td>2424.0</td>\n",
+ " <td>12.120000</td>\n",
" <td>0.42</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>38</th>\n",
+ " <th>10</th>\n",
" <td>ale</td>\n",
" <td>50000</td>\n",
- " <td>123.0</td>\n",
- " <td>0.246000</td>\n",
- " <td>61.0</td>\n",
- " <td>0.122000</td>\n",
- " <td>0.060757</td>\n",
- " <td>0.185243</td>\n",
- " <td>211.0</td>\n",
- " <td>0.422000</td>\n",
+ " <td>126.0</td>\n",
+ " <td>0.252000</td>\n",
+ " <td>59.0</td>\n",
+ " <td>0.118000</td>\n",
+ " <td>0.060862</td>\n",
+ " <td>0.191138</td>\n",
+ " <td>215.0</td>\n",
+ " <td>0.430000</td>\n",
" <td>...</td>\n",
- " <td>0.387729</td>\n",
- " <td>349.0</td>\n",
- " <td>0.698000</td>\n",
- " <td>149.0</td>\n",
- " <td>0.298000</td>\n",
- " <td>0.243027</td>\n",
- " <td>0.454973</td>\n",
- " <td>6070.0</td>\n",
- " <td>12.140000</td>\n",
+ " <td>0.395414</td>\n",
+ " <td>339.0</td>\n",
+ " <td>0.678000</td>\n",
+ " <td>152.0</td>\n",
+ " <td>0.304000</td>\n",
+ " <td>0.243448</td>\n",
+ " <td>0.434552</td>\n",
+ " <td>6507.0</td>\n",
+ " <td>13.014000</td>\n",
" <td>0.29</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>39</th>\n",
+ " <th>11</th>\n",
" <td>ale</td>\n",
" <td>100000</td>\n",
- " <td>202.0</td>\n",
- " <td>0.202000</td>\n",
- " <td>93.0</td>\n",
- " <td>0.093000</td>\n",
- " <td>0.060609</td>\n",
- " <td>0.141391</td>\n",
+ " <td>205.0</td>\n",
+ " <td>0.205000</td>\n",
+ " <td>91.0</td>\n",
+ " <td>0.091000</td>\n",
+ " <td>0.060555</td>\n",
+ " <td>0.144445</td>\n",
" <td>352.0</td>\n",
" <td>0.352000</td>\n",
" <td>...</td>\n",
- " <td>0.289173</td>\n",
- " <td>581.0</td>\n",
- " <td>0.581000</td>\n",
- " <td>222.0</td>\n",
- " <td>0.222000</td>\n",
- " <td>0.242437</td>\n",
- " <td>0.338563</td>\n",
- " <td>10528.0</td>\n",
- " <td>10.528000</td>\n",
+ " <td>0.292334</td>\n",
+ " <td>576.0</td>\n",
+ " <td>0.576000</td>\n",
+ " <td>221.0</td>\n",
+ " <td>0.221000</td>\n",
+ " <td>0.242221</td>\n",
+ " <td>0.333779</td>\n",
+ " <td>10784.0</td>\n",
+ " <td>10.784000</td>\n",
" <td>0.24</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>40</th>\n",
+ " <th>12</th>\n",
+ " <td>ale</td>\n",
+ " <td>116503</td>\n",
+ " <td>236.0</td>\n",
+ " <td>0.202570</td>\n",
+ " <td>103.0</td>\n",
+ " <td>0.088410</td>\n",
+ " <td>0.060475</td>\n",
+ " <td>0.142095</td>\n",
+ " <td>406.0</td>\n",
+ " <td>0.348489</td>\n",
+ " <td>...</td>\n",
+ " <td>0.283799</td>\n",
+ " <td>658.0</td>\n",
+ " <td>0.564792</td>\n",
+ " <td>243.0</td>\n",
+ " <td>0.208578</td>\n",
+ " <td>0.241899</td>\n",
+ " <td>0.322893</td>\n",
+ " <td>11773.0</td>\n",
+ " <td>10.105319</td>\n",
+ " <td>0.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
" <td>ale</td>\n",
" <td>200000</td>\n",
- " <td>370.0</td>\n",
- " <td>0.185000</td>\n",
- " <td>154.0</td>\n",
- " <td>0.077000</td>\n",
- " <td>0.059936</td>\n",
- " <td>0.125064</td>\n",
+ " <td>389.0</td>\n",
+ " <td>0.194500</td>\n",
+ " <td>158.0</td>\n",
+ " <td>0.079000</td>\n",
+ " <td>0.060188</td>\n",
+ " <td>0.134312</td>\n",
" <td>673.0</td>\n",
" <td>0.336500</td>\n",
" <td>...</td>\n",
- " <td>0.266193</td>\n",
- " <td>1097.0</td>\n",
- " <td>0.548500</td>\n",
- " <td>364.0</td>\n",
- " <td>0.182000</td>\n",
- " <td>0.239743</td>\n",
- " <td>0.308757</td>\n",
- " <td>16290.0</td>\n",
- " <td>8.145000</td>\n",
+ " <td>0.261435</td>\n",
+ " <td>1084.0</td>\n",
+ " <td>0.542000</td>\n",
+ " <td>368.0</td>\n",
+ " <td>0.184000</td>\n",
+ " <td>0.240753</td>\n",
+ " <td>0.301247</td>\n",
+ " <td>16940.0</td>\n",
+ " <td>8.470000</td>\n",
" <td>0.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>41</th>\n",
+ " <th>14</th>\n",
+ " <td>ale</td>\n",
+ " <td>232986</td>\n",
+ " <td>477.0</td>\n",
+ " <td>0.204733</td>\n",
+ " <td>194.0</td>\n",
+ " <td>0.083267</td>\n",
+ " <td>0.060281</td>\n",
+ " <td>0.144453</td>\n",
+ " <td>800.0</td>\n",
+ " <td>0.343368</td>\n",
+ " <td>...</td>\n",
+ " <td>0.270687</td>\n",
+ " <td>1274.0</td>\n",
+ " <td>0.546814</td>\n",
+ " <td>433.0</td>\n",
+ " <td>0.185848</td>\n",
+ " <td>0.241123</td>\n",
+ " <td>0.305691</td>\n",
+ " <td>19195.0</td>\n",
+ " <td>8.238692</td>\n",
+ " <td>0.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>ale</td>\n",
+ " <td>349470</td>\n",
+ " <td>699.0</td>\n",
+ " <td>0.200017</td>\n",
+ " <td>267.0</td>\n",
+ " <td>0.076401</td>\n",
+ " <td>0.060360</td>\n",
+ " <td>0.139657</td>\n",
+ " <td>1187.0</td>\n",
+ " <td>0.339657</td>\n",
+ " <td>...</td>\n",
+ " <td>0.270460</td>\n",
+ " <td>1914.0</td>\n",
+ " <td>0.547686</td>\n",
+ " <td>615.0</td>\n",
+ " <td>0.175981</td>\n",
+ " <td>0.241441</td>\n",
+ " <td>0.306246</td>\n",
+ " <td>26501.0</td>\n",
+ " <td>7.583197</td>\n",
+ " <td>0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
" <td>ale</td>\n",
- " <td>565962</td>\n",
- " <td>1015.0</td>\n",
- " <td>0.179341</td>\n",
- " <td>354.0</td>\n",
- " <td>0.062548</td>\n",
- " <td>0.060296</td>\n",
- " <td>0.119045</td>\n",
- " <td>1798.0</td>\n",
- " <td>0.317689</td>\n",
+ " <td>465953</td>\n",
+ " <td>890.0</td>\n",
+ " <td>0.191006</td>\n",
+ " <td>317.0</td>\n",
+ " <td>0.068033</td>\n",
+ " <td>0.060299</td>\n",
+ " <td>0.130707</td>\n",
+ " <td>1549.0</td>\n",
+ " <td>0.332437</td>\n",
" <td>...</td>\n",
- " <td>0.243522</td>\n",
- " <td>2957.0</td>\n",
- " <td>0.522473</td>\n",
- " <td>827.0</td>\n",
- " <td>0.146123</td>\n",
- " <td>0.241184</td>\n",
- " <td>0.281289</td>\n",
- " <td>39375.0</td>\n",
- " <td>6.957181</td>\n",
+ " <td>0.260134</td>\n",
+ " <td>2498.0</td>\n",
+ " <td>0.536106</td>\n",
+ " <td>738.0</td>\n",
+ " <td>0.158385</td>\n",
+ " <td>0.241196</td>\n",
+ " <td>0.294909</td>\n",
+ " <td>33699.0</td>\n",
+ " <td>7.232274</td>\n",
+ " <td>0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>ale</td>\n",
+ " <td>500000</td>\n",
+ " <td>929.0</td>\n",
+ " <td>0.185800</td>\n",
+ " <td>331.0</td>\n",
+ " <td>0.066200</td>\n",
+ " <td>0.060187</td>\n",
+ " <td>0.125613</td>\n",
+ " <td>1625.0</td>\n",
+ " <td>0.325000</td>\n",
+ " <td>...</td>\n",
+ " <td>0.251039</td>\n",
+ " <td>2632.0</td>\n",
+ " <td>0.526400</td>\n",
+ " <td>771.0</td>\n",
+ " <td>0.154200</td>\n",
+ " <td>0.240748</td>\n",
+ " <td>0.285652</td>\n",
+ " <td>35551.0</td>\n",
+ " <td>7.110200</td>\n",
+ " <td>0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>ale</td>\n",
+ " <td>582437</td>\n",
+ " <td>1056.0</td>\n",
+ " <td>0.181307</td>\n",
+ " <td>372.0</td>\n",
+ " <td>0.063870</td>\n",
+ " <td>0.060415</td>\n",
+ " <td>0.120893</td>\n",
+ " <td>1854.0</td>\n",
+ " <td>0.318318</td>\n",
+ " <td>...</td>\n",
+ " <td>0.243352</td>\n",
+ " <td>3030.0</td>\n",
+ " <td>0.520228</td>\n",
+ " <td>853.0</td>\n",
+ " <td>0.146454</td>\n",
+ " <td>0.241658</td>\n",
+ " <td>0.278570</td>\n",
+ " <td>40328.0</td>\n",
+ " <td>6.924011</td>\n",
" <td>0.10</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>11 rows × 29 columns</p>\n",
+ "<p>15 rows × 29 columns</p>\n",
"</div>"
],
"text/plain": [
" method coacquisitions with known positions \\\n",
- "31 ale 200 \n",
- "32 ale 500 \n",
- "33 ale 1000 \n",
- "34 ale 2000 \n",
- "35 ale 5000 \n",
- "36 ale 10000 \n",
- "37 ale 20000 \n",
- "38 ale 50000 \n",
- "39 ale 100000 \n",
- "40 ale 200000 \n",
- "41 ale 565962 \n",
+ "4 ale 500 \n",
+ "5 ale 1000 \n",
+ "6 ale 2000 \n",
+ "7 ale 5000 \n",
+ "8 ale 10000 \n",
+ "9 ale 20000 \n",
+ "10 ale 50000 \n",
+ "11 ale 100000 \n",
+ "12 ale 116503 \n",
+ "13 ale 200000 \n",
+ "14 ale 232986 \n",
+ "15 ale 349470 \n",
+ "16 ale 465953 \n",
+ "17 ale 500000 \n",
+ "18 ale 582437 \n",
"\n",
" neighbors (0 intervening genes) \\\n",
- "31 1.0 \n",
- "32 4.0 \n",
- "33 5.0 \n",
- "34 10.0 \n",
- "35 25.0 \n",
- "36 36.0 \n",
- "37 65.0 \n",
- "38 123.0 \n",
- "39 202.0 \n",
- "40 370.0 \n",
- "41 1015.0 \n",
+ "4 2.0 \n",
+ "5 6.0 \n",
+ "6 12.0 \n",
+ "7 28.0 \n",
+ "8 41.0 \n",
+ "9 66.0 \n",
+ "10 126.0 \n",
+ "11 205.0 \n",
+ "12 236.0 \n",
+ "13 389.0 \n",
+ "14 477.0 \n",
+ "15 699.0 \n",
+ "16 890.0 \n",
+ "17 929.0 \n",
+ "18 1056.0 \n",
"\n",
" neighbor (max 0 intervening genes) percentage \\\n",
- "31 0.500000 \n",
- "32 0.800000 \n",
- "33 0.500000 \n",
- "34 0.500000 \n",
- "35 0.500000 \n",
- "36 0.360000 \n",
- "37 0.325000 \n",
- "38 0.246000 \n",
- "39 0.202000 \n",
- "40 0.185000 \n",
- "41 0.179341 \n",
+ "4 0.400000 \n",
+ "5 0.600000 \n",
+ "6 0.600000 \n",
+ "7 0.560000 \n",
+ "8 0.410000 \n",
+ "9 0.330000 \n",
+ "10 0.252000 \n",
+ "11 0.205000 \n",
+ "12 0.202570 \n",
+ "13 0.194500 \n",
+ "14 0.204733 \n",
+ "15 0.200017 \n",
+ "16 0.191006 \n",
+ "17 0.185800 \n",
+ "18 0.181307 \n",
"\n",
" cotransfer and neighbor (max 0 intervening genes) \\\n",
- "31 1.0 \n",
- "32 1.0 \n",
- "33 1.0 \n",
- "34 2.0 \n",
- "35 9.0 \n",
- "36 12.0 \n",
- "37 28.0 \n",
- "38 61.0 \n",
- "39 93.0 \n",
- "40 154.0 \n",
- "41 354.0 \n",
+ "4 1.0 \n",
+ "5 3.0 \n",
+ "6 5.0 \n",
+ "7 9.0 \n",
+ "8 14.0 \n",
+ "9 27.0 \n",
+ "10 59.0 \n",
+ "11 91.0 \n",
+ "12 103.0 \n",
+ "13 158.0 \n",
+ "14 194.0 \n",
+ "15 267.0 \n",
+ "16 317.0 \n",
+ "17 331.0 \n",
+ "18 372.0 \n",
"\n",
" cotransfer and neighbor (max 0 intervening genes) percentage \\\n",
- "31 0.500000 \n",
- "32 0.200000 \n",
- "33 0.100000 \n",
- "34 0.100000 \n",
- "35 0.180000 \n",
- "36 0.120000 \n",
- "37 0.140000 \n",
- "38 0.122000 \n",
- "39 0.093000 \n",
- "40 0.077000 \n",
- "41 0.062548 \n",
+ "4 0.200000 \n",
+ "5 0.300000 \n",
+ "6 0.250000 \n",
+ "7 0.180000 \n",
+ "8 0.140000 \n",
+ "9 0.135000 \n",
+ "10 0.118000 \n",
+ "11 0.091000 \n",
+ "12 0.088410 \n",
+ "13 0.079000 \n",
+ "14 0.083267 \n",
+ "15 0.076401 \n",
+ "16 0.068033 \n",
+ "17 0.066200 \n",
+ "18 0.063870 \n",
"\n",
" expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "31 0.076793 \n",
- "32 0.075177 \n",
- "33 0.071542 \n",
- "34 0.066968 \n",
- "35 0.064589 \n",
- "36 0.061877 \n",
- "37 0.061771 \n",
- "38 0.060757 \n",
- "39 0.060609 \n",
- "40 0.059936 \n",
- "41 0.060296 \n",
+ "4 0.073977 \n",
+ "5 0.071961 \n",
+ "6 0.067966 \n",
+ "7 0.063842 \n",
+ "8 0.062669 \n",
+ "9 0.061781 \n",
+ "10 0.060862 \n",
+ "11 0.060555 \n",
+ "12 0.060475 \n",
+ "13 0.060188 \n",
+ "14 0.060281 \n",
+ "15 0.060360 \n",
+ "16 0.060299 \n",
+ "17 0.060187 \n",
+ "18 0.060415 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 0 intervening genes) \\\n",
- "31 0.423207 \n",
- "32 0.724823 \n",
- "33 0.428458 \n",
- "34 0.433032 \n",
- "35 0.435411 \n",
- "36 0.298123 \n",
- "37 0.263229 \n",
- "38 0.185243 \n",
- "39 0.141391 \n",
- "40 0.125064 \n",
- "41 0.119045 \n",
+ "4 0.326023 \n",
+ "5 0.528039 \n",
+ "6 0.532034 \n",
+ "7 0.496158 \n",
+ "8 0.347331 \n",
+ "9 0.268219 \n",
+ "10 0.191138 \n",
+ "11 0.144445 \n",
+ "12 0.142095 \n",
+ "13 0.134312 \n",
+ "14 0.144453 \n",
+ "15 0.139657 \n",
+ "16 0.130707 \n",
+ "17 0.125613 \n",
+ "18 0.120893 \n",
"\n",
" neighbors (1 intervening genes) \\\n",
- "31 1.0 \n",
- "32 4.0 \n",
- "33 5.0 \n",
- "34 12.0 \n",
- "35 32.0 \n",
- "36 54.0 \n",
- "37 99.0 \n",
- "38 211.0 \n",
- "39 352.0 \n",
- "40 673.0 \n",
- "41 1798.0 \n",
+ "4 2.0 \n",
+ "5 7.0 \n",
+ "6 15.0 \n",
+ "7 36.0 \n",
+ "8 58.0 \n",
+ "9 100.0 \n",
+ "10 215.0 \n",
+ "11 352.0 \n",
+ "12 406.0 \n",
+ "13 673.0 \n",
+ "14 800.0 \n",
+ "15 1187.0 \n",
+ "16 1549.0 \n",
+ "17 1625.0 \n",
+ "18 1854.0 \n",
"\n",
" neighbor (max 1 intervening genes) percentage ... \\\n",
- "31 0.500000 ... \n",
- "32 0.800000 ... \n",
- "33 0.500000 ... \n",
- "34 0.600000 ... \n",
- "35 0.640000 ... \n",
- "36 0.540000 ... \n",
- "37 0.495000 ... \n",
- "38 0.422000 ... \n",
- "39 0.352000 ... \n",
- "40 0.336500 ... \n",
- "41 0.317689 ... \n",
+ "4 0.400000 ... \n",
+ "5 0.700000 ... \n",
+ "6 0.750000 ... \n",
+ "7 0.720000 ... \n",
+ "8 0.580000 ... \n",
+ "9 0.500000 ... \n",
+ "10 0.430000 ... \n",
+ "11 0.352000 ... \n",
+ "12 0.348489 ... \n",
+ "13 0.336500 ... \n",
+ "14 0.343368 ... \n",
+ "15 0.339657 ... \n",
+ "16 0.332437 ... \n",
+ "17 0.325000 ... \n",
+ "18 0.318318 ... \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 2 intervening genes) \\\n",
- "31 0.269621 \n",
- "32 0.774469 \n",
- "33 0.385375 \n",
- "34 0.549096 \n",
- "35 0.626232 \n",
- "36 0.514368 \n",
- "37 0.449686 \n",
- "38 0.387729 \n",
- "39 0.289173 \n",
- "40 0.266193 \n",
- "41 0.243522 \n",
+ "4 0.378068 \n",
+ "5 0.584117 \n",
+ "6 0.646103 \n",
+ "7 0.688474 \n",
+ "8 0.551993 \n",
+ "9 0.459657 \n",
+ "10 0.395414 \n",
+ "11 0.292334 \n",
+ "12 0.283799 \n",
+ "13 0.261435 \n",
+ "14 0.270687 \n",
+ "15 0.270460 \n",
+ "16 0.260134 \n",
+ "17 0.251039 \n",
+ "18 0.243352 \n",
"\n",
" neighbors (3 intervening genes) \\\n",
- "31 1.0 \n",
- "32 5.0 \n",
- "33 6.0 \n",
- "34 18.0 \n",
- "35 52.0 \n",
- "36 90.0 \n",
- "37 156.0 \n",
- "38 349.0 \n",
- "39 581.0 \n",
- "40 1097.0 \n",
- "41 2957.0 \n",
+ "4 3.0 \n",
+ "5 8.0 \n",
+ "6 18.0 \n",
+ "7 51.0 \n",
+ "8 93.0 \n",
+ "9 157.0 \n",
+ "10 339.0 \n",
+ "11 576.0 \n",
+ "12 658.0 \n",
+ "13 1084.0 \n",
+ "14 1274.0 \n",
+ "15 1914.0 \n",
+ "16 2498.0 \n",
+ "17 2632.0 \n",
+ "18 3030.0 \n",
"\n",
" neighbor (max 3 intervening genes) percentage \\\n",
- "31 0.500000 \n",
- "32 1.000000 \n",
- "33 0.600000 \n",
- "34 0.900000 \n",
- "35 1.040000 \n",
- "36 0.900000 \n",
- "37 0.780000 \n",
- "38 0.698000 \n",
- "39 0.581000 \n",
- "40 0.548500 \n",
- "41 0.522473 \n",
+ "4 0.600000 \n",
+ "5 0.800000 \n",
+ "6 0.900000 \n",
+ "7 1.020000 \n",
+ "8 0.930000 \n",
+ "9 0.785000 \n",
+ "10 0.678000 \n",
+ "11 0.576000 \n",
+ "12 0.564792 \n",
+ "13 0.542000 \n",
+ "14 0.546814 \n",
+ "15 0.547686 \n",
+ "16 0.536106 \n",
+ "17 0.526400 \n",
+ "18 0.520228 \n",
"\n",
" cotransfer and neighbor (max 3 intervening genes) \\\n",
- "31 1.0 \n",
- "32 1.0 \n",
- "33 1.0 \n",
- "34 2.0 \n",
- "35 22.0 \n",
- "36 39.0 \n",
- "37 69.0 \n",
- "38 149.0 \n",
- "39 222.0 \n",
- "40 364.0 \n",
- "41 827.0 \n",
+ "4 1.0 \n",
+ "5 3.0 \n",
+ "6 7.0 \n",
+ "7 17.0 \n",
+ "8 41.0 \n",
+ "9 71.0 \n",
+ "10 152.0 \n",
+ "11 221.0 \n",
+ "12 243.0 \n",
+ "13 368.0 \n",
+ "14 433.0 \n",
+ "15 615.0 \n",
+ "16 738.0 \n",
+ "17 771.0 \n",
+ "18 853.0 \n",
"\n",
" cotransfer and neighbor (max 3 intervening genes) percentage \\\n",
- "31 0.500000 \n",
- "32 0.200000 \n",
- "33 0.100000 \n",
- "34 0.100000 \n",
- "35 0.440000 \n",
- "36 0.390000 \n",
- "37 0.345000 \n",
- "38 0.298000 \n",
- "39 0.222000 \n",
- "40 0.182000 \n",
- "41 0.146123 \n",
+ "4 0.200000 \n",
+ "5 0.300000 \n",
+ "6 0.350000 \n",
+ "7 0.340000 \n",
+ "8 0.410000 \n",
+ "9 0.355000 \n",
+ "10 0.304000 \n",
+ "11 0.221000 \n",
+ "12 0.208578 \n",
+ "13 0.184000 \n",
+ "14 0.185848 \n",
+ "15 0.175981 \n",
+ "16 0.158385 \n",
+ "17 0.154200 \n",
+ "18 0.146454 \n",
"\n",
" expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "31 0.307171 \n",
- "32 0.300708 \n",
- "33 0.286167 \n",
- "34 0.267872 \n",
- "35 0.258358 \n",
- "36 0.247510 \n",
- "37 0.247086 \n",
- "38 0.243027 \n",
- "39 0.242437 \n",
- "40 0.239743 \n",
- "41 0.241184 \n",
+ "4 0.295909 \n",
+ "5 0.287844 \n",
+ "6 0.271863 \n",
+ "7 0.255368 \n",
+ "8 0.250677 \n",
+ "9 0.247124 \n",
+ "10 0.243448 \n",
+ "11 0.242221 \n",
+ "12 0.241899 \n",
+ "13 0.240753 \n",
+ "14 0.241123 \n",
+ "15 0.241441 \n",
+ "16 0.241196 \n",
+ "17 0.240748 \n",
+ "18 0.241658 \n",
"\n",
" observed minus expected percentage of neighboring coacquisitions (max 3 intervening genes) \\\n",
- "31 0.192829 \n",
- "32 0.699292 \n",
- "33 0.313833 \n",
- "34 0.632128 \n",
- "35 0.781642 \n",
- "36 0.652490 \n",
- "37 0.532914 \n",
- "38 0.454973 \n",
- "39 0.338563 \n",
- "40 0.308757 \n",
- "41 0.281289 \n",
+ "4 0.304091 \n",
+ "5 0.512156 \n",
+ "6 0.628137 \n",
+ "7 0.764632 \n",
+ "8 0.679323 \n",
+ "9 0.537876 \n",
+ "10 0.434552 \n",
+ "11 0.333779 \n",
+ "12 0.322893 \n",
+ "13 0.301247 \n",
+ "14 0.305691 \n",
+ "15 0.306246 \n",
+ "16 0.294909 \n",
+ "17 0.285652 \n",
+ "18 0.278570 \n",
"\n",
" cotransfers cotransfer percentage transfer threshold \n",
- "31 73.0 36.500000 0.92 \n",
- "32 157.0 31.400000 0.86 \n",
- "33 210.0 21.000000 0.81 \n",
- "34 308.0 15.400000 0.77 \n",
- "35 694.0 13.880000 0.69 \n",
- "36 1330.0 13.300000 0.58 \n",
- "37 2384.0 11.920000 0.42 \n",
- "38 6070.0 12.140000 0.29 \n",
- "39 10528.0 10.528000 0.24 \n",
- "40 16290.0 8.145000 0.18 \n",
- "41 39375.0 6.957181 0.10 \n",
- "\n",
- "[11 rows x 29 columns]"
+ "4 152.0 30.400000 0.85 \n",
+ "5 219.0 21.900000 0.81 \n",
+ "6 325.0 16.250000 0.77 \n",
+ "7 641.0 12.820000 0.69 \n",
+ "8 1320.0 13.200000 0.59 \n",
+ "9 2424.0 12.120000 0.42 \n",
+ "10 6507.0 13.014000 0.29 \n",
+ "11 10784.0 10.784000 0.24 \n",
+ "12 11773.0 10.105319 0.23 \n",
+ "13 16940.0 8.470000 0.18 \n",
+ "14 19195.0 8.238692 0.17 \n",
+ "15 26501.0 7.583197 0.13 \n",
+ "16 33699.0 7.232274 0.11 \n",
+ "17 35551.0 7.110200 0.11 \n",
+ "18 40328.0 6.924011 0.10 \n",
+ "\n",
+ "[15 rows x 29 columns]"
]
},
"metadata": {},
@@ -13572,20 +16055,20 @@
"text": [
"\\begin{tabular}{lrrrrrrrrr}\n",
"\\toprule\n",
- " & Mean (t=0) & $\\sigma$ (t=0) & Max (t=0) & Mean (t=2) & $\\sigma$ (t=2) & Max (t=2) & Mean (t=3) & $\\sigma$ (t=3) & Max (t=3) \\\\\n",
+ " & Mean (t=0) & \\textit{s} (t=0) & Max (t=0) & Mean (t=2) & \\textit{s} (t=2) & Max (t=2) & Mean (t=3) & \\textit{s} (t=3) & Max (t=3) \\\\\n",
"method & & & & & & & & & \\\\\n",
"\\midrule\n",
- "Count (MP) & 1.352 & 1.236 & 3.867 & 2.237 & 1.722 & 4.972 & 2.435 & 1.770 & 5.010 \\\\\n",
- "GLOOME (ML) & 0.646 & 0.329 & 1.140 & 1.331 & 0.583 & 2.320 & 1.531 & 0.681 & 2.780 \\\\\n",
- "Count (ML) & 0.425 & 0.331 & 1.200 & 1.178 & 0.743 & 3.200 & 1.499 & 0.868 & 3.800 \\\\\n",
- "ALE & 0.391 & 0.191 & 0.800 & 0.629 & 0.178 & 1.000 & 0.734 & 0.200 & 1.040 \\\\\n",
- "Wn & 0.353 & 0.546 & 1.613 & 0.705 & 0.578 & 1.613 & 0.778 & 0.528 & 1.613 \\\\\n",
- "GLOOME (MP) & 0.271 & 0.000 & 0.271 & 0.637 & 0.000 & 0.637 & 0.778 & 0.000 & 0.778 \\\\\n",
- "GLOOME (ML) without tree & 0.246 & 0.038 & 0.300 & 0.568 & 0.079 & 0.675 & 0.692 & 0.092 & 0.814 \\\\\n",
- "GLOOME (MP) without tree & 0.242 & 0.000 & 0.242 & 0.563 & 0.000 & 0.563 & 0.687 & 0.000 & 0.687 \\\\\n",
- "AnGST & 0.191 & 0.000 & 0.191 & 0.450 & 0.000 & 0.450 & 0.557 & 0.000 & 0.557 \\\\\n",
- "RANGER-Fast & 0.190 & 0.001 & 0.192 & 0.440 & 0.001 & 0.442 & 0.543 & 0.001 & 0.545 \\\\\n",
- "RANGER & 0.185 & 0.029 & 0.258 & 0.433 & 0.048 & 0.551 & 0.536 & 0.061 & 0.687 \\\\\n",
+ "Count (MP) & 1.324 & 1.187 & 3.684 & 2.198 & 1.666 & 4.737 & 2.396 & 1.716 & 4.961 \\\\\n",
+ "GLOOME (MP) & 1.324 & 1.187 & 3.684 & 2.198 & 1.666 & 4.737 & 2.396 & 1.716 & 4.961 \\\\\n",
+ "GLOOME (ML) & 0.657 & 0.335 & 1.180 & 1.347 & 0.593 & 2.380 & 1.547 & 0.692 & 2.840 \\\\\n",
+ "GLOOME (MP) α & 0.544 & 0.255 & 0.814 & 1.192 & 0.549 & 1.888 & 1.410 & 0.640 & 2.250 \\\\\n",
+ "Count (ML) & 0.460 & 0.256 & 1.200 & 1.124 & 0.641 & 3.200 & 1.355 & 0.739 & 3.800 \\\\\n",
+ "Wn & 0.330 & 0.501 & 1.613 & 0.573 & 0.493 & 1.613 & 0.654 & 0.447 & 1.613 \\\\\n",
+ "ALE & 0.314 & 0.160 & 0.600 & 0.578 & 0.165 & 0.880 & 0.672 & 0.170 & 1.020 \\\\\n",
+ "GLOOME (ML) α & 0.289 & 0.065 & 0.405 & 0.672 & 0.171 & 0.995 & 0.817 & 0.212 & 1.232 \\\\\n",
+ "AnGST & 0.196 & 0.000 & 0.196 & 0.454 & 0.000 & 0.454 & 0.561 & 0.000 & 0.561 \\\\\n",
+ "RANGER-Fast & 0.194 & 0.001 & 0.195 & 0.444 & 0.001 & 0.446 & 0.546 & 0.001 & 0.547 \\\\\n",
+ "RANGER & 0.186 & 0.026 & 0.250 & 0.425 & 0.046 & 0.539 & 0.528 & 0.059 & 0.673 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n",
@@ -13598,29 +16081,27 @@
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- " <th id=\"T_a8a4d_level0_col0\" class=\"col_heading level0 col0\" >Mean (t=0)</th>\n",
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- " <th id=\"T_a8a4d_level0_col11\" class=\"col_heading level0 col11\" >Max (t=3)</th>\n",
+ " <th id=\"T_5c970_level0_col0\" class=\"col_heading level0 col0\" >Mean (t=0)</th>\n",
+ " <th id=\"T_5c970_level0_col1\" class=\"col_heading level0 col1\" >σ (t=0)</th>\n",
+ " <th id=\"T_5c970_level0_col2\" class=\"col_heading level0 col2\" >Max (t=0)</th>\n",
+ " <th id=\"T_5c970_level0_col3\" class=\"col_heading level0 col3\" >Mean (t=1)</th>\n",
+ " <th id=\"T_5c970_level0_col4\" class=\"col_heading level0 col4\" >σ (t=1)</th>\n",
+ " <th id=\"T_5c970_level0_col5\" class=\"col_heading level0 col5\" >Max (t=1)</th>\n",
+ " <th id=\"T_5c970_level0_col6\" class=\"col_heading level0 col6\" >Mean (t=2)</th>\n",
+ " <th id=\"T_5c970_level0_col7\" class=\"col_heading level0 col7\" >σ (t=2)</th>\n",
+ " <th id=\"T_5c970_level0_col8\" class=\"col_heading level0 col8\" >Max (t=2)</th>\n",
+ " <th id=\"T_5c970_level0_col9\" class=\"col_heading level0 col9\" >Mean (t=3)</th>\n",
+ " <th id=\"T_5c970_level0_col10\" class=\"col_heading level0 col10\" >σ (t=3)</th>\n",
+ " <th id=\"T_5c970_level0_col11\" class=\"col_heading level0 col11\" >Max (t=3)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"index_name level0\" >method</th>\n",
@@ -13640,175 +16121,175 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row0\" class=\"row_heading level0 row0\" >Count (MP)</th>\n",
- " <td id=\"T_a8a4d_row0_col0\" class=\"data row0 col0\" >1.352125</td>\n",
- " <td id=\"T_a8a4d_row0_col1\" class=\"data row0 col1\" >1.236475</td>\n",
- " <td id=\"T_a8a4d_row0_col2\" class=\"data row0 col2\" >3.867403</td>\n",
- " <td id=\"T_a8a4d_row0_col3\" class=\"data row0 col3\" >1.928247</td>\n",
- " <td id=\"T_a8a4d_row0_col4\" class=\"data row0 col4\" >1.614691</td>\n",
- " <td id=\"T_a8a4d_row0_col5\" class=\"data row0 col5\" >4.972376</td>\n",
- " <td id=\"T_a8a4d_row0_col6\" class=\"data row0 col6\" >2.236909</td>\n",
- " <td id=\"T_a8a4d_row0_col7\" class=\"data row0 col7\" >1.721963</td>\n",
- " <td id=\"T_a8a4d_row0_col8\" class=\"data row0 col8\" >4.972376</td>\n",
- " <td id=\"T_a8a4d_row0_col9\" class=\"data row0 col9\" >2.434919</td>\n",
- " <td id=\"T_a8a4d_row0_col10\" class=\"data row0 col10\" >1.769767</td>\n",
- " <td id=\"T_a8a4d_row0_col11\" class=\"data row0 col11\" >5.009823</td>\n",
+ " <th id=\"T_5c970_level0_row0\" class=\"row_heading level0 row0\" >Count (MP)</th>\n",
+ " <td id=\"T_5c970_row0_col0\" class=\"data row0 col0\" >1.324090</td>\n",
+ " <td id=\"T_5c970_row0_col1\" class=\"data row0 col1\" >1.186513</td>\n",
+ " <td id=\"T_5c970_row0_col2\" class=\"data row0 col2\" >3.684211</td>\n",
+ " <td id=\"T_5c970_row0_col3\" class=\"data row0 col3\" >1.893386</td>\n",
+ " <td id=\"T_5c970_row0_col4\" class=\"data row0 col4\" >1.553917</td>\n",
+ " <td id=\"T_5c970_row0_col5\" class=\"data row0 col5\" >4.736842</td>\n",
+ " <td id=\"T_5c970_row0_col6\" class=\"data row0 col6\" >2.198265</td>\n",
+ " <td id=\"T_5c970_row0_col7\" class=\"data row0 col7\" >1.665810</td>\n",
+ " <td id=\"T_5c970_row0_col8\" class=\"data row0 col8\" >4.736842</td>\n",
+ " <td id=\"T_5c970_row0_col9\" class=\"data row0 col9\" >2.396163</td>\n",
+ " <td id=\"T_5c970_row0_col10\" class=\"data row0 col10\" >1.716387</td>\n",
+ " <td id=\"T_5c970_row0_col11\" class=\"data row0 col11\" >4.961089</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row1\" class=\"row_heading level0 row1\" >GLOOME (ML)</th>\n",
- " <td id=\"T_a8a4d_row1_col0\" class=\"data row1 col0\" >0.646375</td>\n",
- " <td id=\"T_a8a4d_row1_col1\" class=\"data row1 col1\" >0.329283</td>\n",
- " <td id=\"T_a8a4d_row1_col2\" class=\"data row1 col2\" >1.140000</td>\n",
- " <td id=\"T_a8a4d_row1_col3\" class=\"data row1 col3\" >1.059234</td>\n",
- " <td id=\"T_a8a4d_row1_col4\" class=\"data row1 col4\" >0.479081</td>\n",
- " <td id=\"T_a8a4d_row1_col5\" class=\"data row1 col5\" >1.840000</td>\n",
- " <td id=\"T_a8a4d_row1_col6\" class=\"data row1 col6\" >1.331328</td>\n",
- " <td id=\"T_a8a4d_row1_col7\" class=\"data row1 col7\" >0.583042</td>\n",
- " <td id=\"T_a8a4d_row1_col8\" class=\"data row1 col8\" >2.320000</td>\n",
- " <td id=\"T_a8a4d_row1_col9\" class=\"data row1 col9\" >1.531158</td>\n",
- " <td id=\"T_a8a4d_row1_col10\" class=\"data row1 col10\" >0.680517</td>\n",
- " <td id=\"T_a8a4d_row1_col11\" class=\"data row1 col11\" >2.780000</td>\n",
+ " <th id=\"T_5c970_level0_row1\" class=\"row_heading level0 row1\" >GLOOME (MP)</th>\n",
+ " <td id=\"T_5c970_row1_col0\" class=\"data row1 col0\" >1.324090</td>\n",
+ " <td id=\"T_5c970_row1_col1\" class=\"data row1 col1\" >1.186513</td>\n",
+ " <td id=\"T_5c970_row1_col2\" class=\"data row1 col2\" >3.684211</td>\n",
+ " <td id=\"T_5c970_row1_col3\" class=\"data row1 col3\" >1.893386</td>\n",
+ " <td id=\"T_5c970_row1_col4\" class=\"data row1 col4\" >1.553917</td>\n",
+ " <td id=\"T_5c970_row1_col5\" class=\"data row1 col5\" >4.736842</td>\n",
+ " <td id=\"T_5c970_row1_col6\" class=\"data row1 col6\" >2.198265</td>\n",
+ " <td id=\"T_5c970_row1_col7\" class=\"data row1 col7\" >1.665810</td>\n",
+ " <td id=\"T_5c970_row1_col8\" class=\"data row1 col8\" >4.736842</td>\n",
+ " <td id=\"T_5c970_row1_col9\" class=\"data row1 col9\" >2.396163</td>\n",
+ " <td id=\"T_5c970_row1_col10\" class=\"data row1 col10\" >1.716387</td>\n",
+ " <td id=\"T_5c970_row1_col11\" class=\"data row1 col11\" >4.961089</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row2\" class=\"row_heading level0 row2\" >Count (ML)</th>\n",
- " <td id=\"T_a8a4d_row2_col0\" class=\"data row2 col0\" >0.424835</td>\n",
- " <td id=\"T_a8a4d_row2_col1\" class=\"data row2 col1\" >0.331386</td>\n",
- " <td id=\"T_a8a4d_row2_col2\" class=\"data row2 col2\" >1.200000</td>\n",
- " <td id=\"T_a8a4d_row2_col3\" class=\"data row2 col3\" >0.970522</td>\n",
- " <td id=\"T_a8a4d_row2_col4\" class=\"data row2 col4\" >0.599880</td>\n",
- " <td id=\"T_a8a4d_row2_col5\" class=\"data row2 col5\" >2.600000</td>\n",
- " <td id=\"T_a8a4d_row2_col6\" class=\"data row2 col6\" >1.178068</td>\n",
- " <td id=\"T_a8a4d_row2_col7\" class=\"data row2 col7\" >0.742561</td>\n",
- " <td id=\"T_a8a4d_row2_col8\" class=\"data row2 col8\" >3.200000</td>\n",
- " <td id=\"T_a8a4d_row2_col9\" class=\"data row2 col9\" >1.499081</td>\n",
- " <td id=\"T_a8a4d_row2_col10\" class=\"data row2 col10\" >0.867781</td>\n",
- " <td id=\"T_a8a4d_row2_col11\" class=\"data row2 col11\" >3.800000</td>\n",
+ " <th id=\"T_5c970_level0_row2\" class=\"row_heading level0 row2\" >GLOOME (ML)</th>\n",
+ " <td id=\"T_5c970_row2_col0\" class=\"data row2 col0\" >0.656974</td>\n",
+ " <td id=\"T_5c970_row2_col1\" class=\"data row2 col1\" >0.334545</td>\n",
+ " <td id=\"T_5c970_row2_col2\" class=\"data row2 col2\" >1.180000</td>\n",
+ " <td id=\"T_5c970_row2_col3\" class=\"data row2 col3\" >1.075609</td>\n",
+ " <td id=\"T_5c970_row2_col4\" class=\"data row2 col4\" >0.490852</td>\n",
+ " <td id=\"T_5c970_row2_col5\" class=\"data row2 col5\" >1.920000</td>\n",
+ " <td id=\"T_5c970_row2_col6\" class=\"data row2 col6\" >1.347138</td>\n",
+ " <td id=\"T_5c970_row2_col7\" class=\"data row2 col7\" >0.592598</td>\n",
+ " <td id=\"T_5c970_row2_col8\" class=\"data row2 col8\" >2.380000</td>\n",
+ " <td id=\"T_5c970_row2_col9\" class=\"data row2 col9\" >1.547016</td>\n",
+ " <td id=\"T_5c970_row2_col10\" class=\"data row2 col10\" >0.692264</td>\n",
+ " <td id=\"T_5c970_row2_col11\" class=\"data row2 col11\" >2.840000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row3\" class=\"row_heading level0 row3\" >ALE</th>\n",
- " <td id=\"T_a8a4d_row3_col0\" class=\"data row3 col0\" >0.390667</td>\n",
- " <td id=\"T_a8a4d_row3_col1\" class=\"data row3 col1\" >0.190815</td>\n",
- " <td id=\"T_a8a4d_row3_col2\" class=\"data row3 col2\" >0.800000</td>\n",
- " <td id=\"T_a8a4d_row3_col3\" class=\"data row3 col3\" >0.500290</td>\n",
- " <td id=\"T_a8a4d_row3_col4\" class=\"data row3 col4\" >0.144631</td>\n",
- " <td id=\"T_a8a4d_row3_col5\" class=\"data row3 col5\" >0.800000</td>\n",
- " <td id=\"T_a8a4d_row3_col6\" class=\"data row3 col6\" >0.628765</td>\n",
- " <td id=\"T_a8a4d_row3_col7\" class=\"data row3 col7\" >0.177514</td>\n",
- " <td id=\"T_a8a4d_row3_col8\" class=\"data row3 col8\" >1.000000</td>\n",
- " <td id=\"T_a8a4d_row3_col9\" class=\"data row3 col9\" >0.733634</td>\n",
- " <td id=\"T_a8a4d_row3_col10\" class=\"data row3 col10\" >0.199547</td>\n",
- " <td id=\"T_a8a4d_row3_col11\" class=\"data row3 col11\" >1.040000</td>\n",
+ " <th id=\"T_5c970_level0_row3\" class=\"row_heading level0 row3\" >GLOOME (MP) α</th>\n",
+ " <td id=\"T_5c970_row3_col0\" class=\"data row3 col0\" >0.543624</td>\n",
+ " <td id=\"T_5c970_row3_col1\" class=\"data row3 col1\" >0.255280</td>\n",
+ " <td id=\"T_5c970_row3_col2\" class=\"data row3 col2\" >0.813661</td>\n",
+ " <td id=\"T_5c970_row3_col3\" class=\"data row3 col3\" >0.895689</td>\n",
+ " <td id=\"T_5c970_row3_col4\" class=\"data row3 col4\" >0.409391</td>\n",
+ " <td id=\"T_5c970_row3_col5\" class=\"data row3 col5\" >1.376193</td>\n",
+ " <td id=\"T_5c970_row3_col6\" class=\"data row3 col6\" >1.191813</td>\n",
+ " <td id=\"T_5c970_row3_col7\" class=\"data row3 col7\" >0.548915</td>\n",
+ " <td id=\"T_5c970_row3_col8\" class=\"data row3 col8\" >1.888498</td>\n",
+ " <td id=\"T_5c970_row3_col9\" class=\"data row3 col9\" >1.409989</td>\n",
+ " <td id=\"T_5c970_row3_col10\" class=\"data row3 col10\" >0.640050</td>\n",
+ " <td id=\"T_5c970_row3_col11\" class=\"data row3 col11\" >2.250126</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row4\" class=\"row_heading level0 row4\" >Wn</th>\n",
- " <td id=\"T_a8a4d_row4_col0\" class=\"data row4 col0\" >0.353420</td>\n",
- " <td id=\"T_a8a4d_row4_col1\" class=\"data row4 col1\" >0.545703</td>\n",
- " <td id=\"T_a8a4d_row4_col2\" class=\"data row4 col2\" >1.612903</td>\n",
- " <td id=\"T_a8a4d_row4_col3\" class=\"data row4 col3\" >0.591236</td>\n",
- " <td id=\"T_a8a4d_row4_col4\" class=\"data row4 col4\" >0.562390</td>\n",
- " <td id=\"T_a8a4d_row4_col5\" class=\"data row4 col5\" >1.612903</td>\n",
- " <td id=\"T_a8a4d_row4_col6\" class=\"data row4 col6\" >0.704944</td>\n",
- " <td id=\"T_a8a4d_row4_col7\" class=\"data row4 col7\" >0.578123</td>\n",
- " <td id=\"T_a8a4d_row4_col8\" class=\"data row4 col8\" >1.612903</td>\n",
- " <td id=\"T_a8a4d_row4_col9\" class=\"data row4 col9\" >0.778484</td>\n",
- " <td id=\"T_a8a4d_row4_col10\" class=\"data row4 col10\" >0.528371</td>\n",
- " <td id=\"T_a8a4d_row4_col11\" class=\"data row4 col11\" >1.612903</td>\n",
+ " <th id=\"T_5c970_level0_row4\" class=\"row_heading level0 row4\" >Count (ML)</th>\n",
+ " <td id=\"T_5c970_row4_col0\" class=\"data row4 col0\" >0.460484</td>\n",
+ " <td id=\"T_5c970_row4_col1\" class=\"data row4 col1\" >0.256381</td>\n",
+ " <td id=\"T_5c970_row4_col2\" class=\"data row4 col2\" >1.200000</td>\n",
+ " <td id=\"T_5c970_row4_col3\" class=\"data row4 col3\" >0.896233</td>\n",
+ " <td id=\"T_5c970_row4_col4\" class=\"data row4 col4\" >0.523120</td>\n",
+ " <td id=\"T_5c970_row4_col5\" class=\"data row4 col5\" >2.600000</td>\n",
+ " <td id=\"T_5c970_row4_col6\" class=\"data row4 col6\" >1.123988</td>\n",
+ " <td id=\"T_5c970_row4_col7\" class=\"data row4 col7\" >0.640937</td>\n",
+ " <td id=\"T_5c970_row4_col8\" class=\"data row4 col8\" >3.200000</td>\n",
+ " <td id=\"T_5c970_row4_col9\" class=\"data row4 col9\" >1.355117</td>\n",
+ " <td id=\"T_5c970_row4_col10\" class=\"data row4 col10\" >0.739415</td>\n",
+ " <td id=\"T_5c970_row4_col11\" class=\"data row4 col11\" >3.800000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row5\" class=\"row_heading level0 row5\" >GLOOME (MP)</th>\n",
- " <td id=\"T_a8a4d_row5_col0\" class=\"data row5 col0\" >0.270648</td>\n",
- " <td id=\"T_a8a4d_row5_col1\" class=\"data row5 col1\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row5_col2\" class=\"data row5 col2\" >0.270648</td>\n",
- " <td id=\"T_a8a4d_row5_col3\" class=\"data row5 col3\" >0.476069</td>\n",
- " <td id=\"T_a8a4d_row5_col4\" class=\"data row5 col4\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row5_col5\" class=\"data row5 col5\" >0.476069</td>\n",
- " <td id=\"T_a8a4d_row5_col6\" class=\"data row5 col6\" >0.637145</td>\n",
- " <td id=\"T_a8a4d_row5_col7\" class=\"data row5 col7\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row5_col8\" class=\"data row5 col8\" >0.637145</td>\n",
- " <td id=\"T_a8a4d_row5_col9\" class=\"data row5 col9\" >0.777938</td>\n",
- " <td id=\"T_a8a4d_row5_col10\" class=\"data row5 col10\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row5_col11\" class=\"data row5 col11\" >0.777938</td>\n",
+ " <th id=\"T_5c970_level0_row5\" class=\"row_heading level0 row5\" >Wn</th>\n",
+ " <td id=\"T_5c970_row5_col0\" class=\"data row5 col0\" >0.329535</td>\n",
+ " <td id=\"T_5c970_row5_col1\" class=\"data row5 col1\" >0.500705</td>\n",
+ " <td id=\"T_5c970_row5_col2\" class=\"data row5 col2\" >1.612903</td>\n",
+ " <td id=\"T_5c970_row5_col3\" class=\"data row5 col3\" >0.469948</td>\n",
+ " <td id=\"T_5c970_row5_col4\" class=\"data row5 col4\" >0.488747</td>\n",
+ " <td id=\"T_5c970_row5_col5\" class=\"data row5 col5\" >1.612903</td>\n",
+ " <td id=\"T_5c970_row5_col6\" class=\"data row5 col6\" >0.572631</td>\n",
+ " <td id=\"T_5c970_row5_col7\" class=\"data row5 col7\" >0.493020</td>\n",
+ " <td id=\"T_5c970_row5_col8\" class=\"data row5 col8\" >1.612903</td>\n",
+ " <td id=\"T_5c970_row5_col9\" class=\"data row5 col9\" >0.653529</td>\n",
+ " <td id=\"T_5c970_row5_col10\" class=\"data row5 col10\" >0.447298</td>\n",
+ " <td id=\"T_5c970_row5_col11\" class=\"data row5 col11\" >1.612903</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row6\" class=\"row_heading level0 row6\" >GLOOME (ML) without tree</th>\n",
- " <td id=\"T_a8a4d_row6_col0\" class=\"data row6 col0\" >0.245733</td>\n",
- " <td id=\"T_a8a4d_row6_col1\" class=\"data row6 col1\" >0.038417</td>\n",
- " <td id=\"T_a8a4d_row6_col2\" class=\"data row6 col2\" >0.300000</td>\n",
- " <td id=\"T_a8a4d_row6_col3\" class=\"data row6 col3\" >0.424248</td>\n",
- " <td id=\"T_a8a4d_row6_col4\" class=\"data row6 col4\" >0.064654</td>\n",
- " <td id=\"T_a8a4d_row6_col5\" class=\"data row6 col5\" >0.512565</td>\n",
- " <td id=\"T_a8a4d_row6_col6\" class=\"data row6 col6\" >0.567626</td>\n",
- " <td id=\"T_a8a4d_row6_col7\" class=\"data row6 col7\" >0.079135</td>\n",
- " <td id=\"T_a8a4d_row6_col8\" class=\"data row6 col8\" >0.674733</td>\n",
- " <td id=\"T_a8a4d_row6_col9\" class=\"data row6 col9\" >0.691657</td>\n",
- " <td id=\"T_a8a4d_row6_col10\" class=\"data row6 col10\" >0.092027</td>\n",
- " <td id=\"T_a8a4d_row6_col11\" class=\"data row6 col11\" >0.814312</td>\n",
+ " <th id=\"T_5c970_level0_row6\" class=\"row_heading level0 row6\" >ALE</th>\n",
+ " <td id=\"T_5c970_row6_col0\" class=\"data row6 col0\" >0.314462</td>\n",
+ " <td id=\"T_5c970_row6_col1\" class=\"data row6 col1\" >0.159798</td>\n",
+ " <td id=\"T_5c970_row6_col2\" class=\"data row6 col2\" >0.600000</td>\n",
+ " <td id=\"T_5c970_row6_col3\" class=\"data row6 col3\" >0.451718</td>\n",
+ " <td id=\"T_5c970_row6_col4\" class=\"data row6 col4\" >0.158290</td>\n",
+ " <td id=\"T_5c970_row6_col5\" class=\"data row6 col5\" >0.750000</td>\n",
+ " <td id=\"T_5c970_row6_col6\" class=\"data row6 col6\" >0.578301</td>\n",
+ " <td id=\"T_5c970_row6_col7\" class=\"data row6 col7\" >0.165493</td>\n",
+ " <td id=\"T_5c970_row6_col8\" class=\"data row6 col8\" >0.880000</td>\n",
+ " <td id=\"T_5c970_row6_col9\" class=\"data row6 col9\" >0.671535</td>\n",
+ " <td id=\"T_5c970_row6_col10\" class=\"data row6 col10\" >0.170180</td>\n",
+ " <td id=\"T_5c970_row6_col11\" class=\"data row6 col11\" >1.020000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row7\" class=\"row_heading level0 row7\" >GLOOME (MP) without tree</th>\n",
- " <td id=\"T_a8a4d_row7_col0\" class=\"data row7 col0\" >0.242475</td>\n",
- " <td id=\"T_a8a4d_row7_col1\" class=\"data row7 col1\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row7_col2\" class=\"data row7 col2\" >0.242475</td>\n",
- " <td id=\"T_a8a4d_row7_col3\" class=\"data row7 col3\" >0.419495</td>\n",
- " <td id=\"T_a8a4d_row7_col4\" class=\"data row7 col4\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row7_col5\" class=\"data row7 col5\" >0.419495</td>\n",
- " <td id=\"T_a8a4d_row7_col6\" class=\"data row7 col6\" >0.562883</td>\n",
- " <td id=\"T_a8a4d_row7_col7\" class=\"data row7 col7\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row7_col8\" class=\"data row7 col8\" >0.562883</td>\n",
- " <td id=\"T_a8a4d_row7_col9\" class=\"data row7 col9\" >0.686923</td>\n",
- " <td id=\"T_a8a4d_row7_col10\" class=\"data row7 col10\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row7_col11\" class=\"data row7 col11\" >0.686923</td>\n",
+ " <th id=\"T_5c970_level0_row7\" class=\"row_heading level0 row7\" >GLOOME (ML) α</th>\n",
+ " <td id=\"T_5c970_row7_col0\" class=\"data row7 col0\" >0.288541</td>\n",
+ " <td id=\"T_5c970_row7_col1\" class=\"data row7 col1\" >0.065225</td>\n",
+ " <td id=\"T_5c970_row7_col2\" class=\"data row7 col2\" >0.404811</td>\n",
+ " <td id=\"T_5c970_row7_col3\" class=\"data row7 col3\" >0.498833</td>\n",
+ " <td id=\"T_5c970_row7_col4\" class=\"data row7 col4\" >0.118945</td>\n",
+ " <td id=\"T_5c970_row7_col5\" class=\"data row7 col5\" >0.711312</td>\n",
+ " <td id=\"T_5c970_row7_col6\" class=\"data row7 col6\" >0.672305</td>\n",
+ " <td id=\"T_5c970_row7_col7\" class=\"data row7 col7\" >0.170639</td>\n",
+ " <td id=\"T_5c970_row7_col8\" class=\"data row7 col8\" >0.994680</td>\n",
+ " <td id=\"T_5c970_row7_col9\" class=\"data row7 col9\" >0.817241</td>\n",
+ " <td id=\"T_5c970_row7_col10\" class=\"data row7 col10\" >0.212143</td>\n",
+ " <td id=\"T_5c970_row7_col11\" class=\"data row7 col11\" >1.231783</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row8\" class=\"row_heading level0 row8\" >AnGST</th>\n",
- " <td id=\"T_a8a4d_row8_col0\" class=\"data row8 col0\" >0.190923</td>\n",
- " <td id=\"T_a8a4d_row8_col1\" class=\"data row8 col1\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row8_col2\" class=\"data row8 col2\" >0.190923</td>\n",
- " <td id=\"T_a8a4d_row8_col3\" class=\"data row8 col3\" >0.333211</td>\n",
- " <td id=\"T_a8a4d_row8_col4\" class=\"data row8 col4\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row8_col5\" class=\"data row8 col5\" >0.333211</td>\n",
- " <td id=\"T_a8a4d_row8_col6\" class=\"data row8 col6\" >0.449704</td>\n",
- " <td id=\"T_a8a4d_row8_col7\" class=\"data row8 col7\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row8_col8\" class=\"data row8 col8\" >0.449704</td>\n",
- " <td id=\"T_a8a4d_row8_col9\" class=\"data row8 col9\" >0.557488</td>\n",
- " <td id=\"T_a8a4d_row8_col10\" class=\"data row8 col10\" >0.000000</td>\n",
- " <td id=\"T_a8a4d_row8_col11\" class=\"data row8 col11\" >0.557488</td>\n",
+ " <th id=\"T_5c970_level0_row8\" class=\"row_heading level0 row8\" >AnGST</th>\n",
+ " <td id=\"T_5c970_row8_col0\" class=\"data row8 col0\" >0.195976</td>\n",
+ " <td id=\"T_5c970_row8_col1\" class=\"data row8 col1\" >0.000000</td>\n",
+ " <td id=\"T_5c970_row8_col2\" class=\"data row8 col2\" >0.195976</td>\n",
+ " <td id=\"T_5c970_row8_col3\" class=\"data row8 col3\" >0.337033</td>\n",
+ " <td id=\"T_5c970_row8_col4\" class=\"data row8 col4\" >0.000000</td>\n",
+ " <td id=\"T_5c970_row8_col5\" class=\"data row8 col5\" >0.337033</td>\n",
+ " <td id=\"T_5c970_row8_col6\" class=\"data row8 col6\" >0.454075</td>\n",
+ " <td id=\"T_5c970_row8_col7\" class=\"data row8 col7\" >0.000000</td>\n",
+ " <td id=\"T_5c970_row8_col8\" class=\"data row8 col8\" >0.454075</td>\n",
+ " <td id=\"T_5c970_row8_col9\" class=\"data row8 col9\" >0.561189</td>\n",
+ " <td id=\"T_5c970_row8_col10\" class=\"data row8 col10\" >0.000000</td>\n",
+ " <td id=\"T_5c970_row8_col11\" class=\"data row8 col11\" >0.561189</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row9\" class=\"row_heading level0 row9\" >RANGER-Fast</th>\n",
- " <td id=\"T_a8a4d_row9_col0\" class=\"data row9 col0\" >0.190396</td>\n",
- " <td id=\"T_a8a4d_row9_col1\" class=\"data row9 col1\" >0.001125</td>\n",
- " <td id=\"T_a8a4d_row9_col2\" class=\"data row9 col2\" >0.192018</td>\n",
- " <td id=\"T_a8a4d_row9_col3\" class=\"data row9 col3\" >0.330043</td>\n",
- " <td id=\"T_a8a4d_row9_col4\" class=\"data row9 col4\" >0.001319</td>\n",
- " <td id=\"T_a8a4d_row9_col5\" class=\"data row9 col5\" >0.332035</td>\n",
- " <td id=\"T_a8a4d_row9_col6\" class=\"data row9 col6\" >0.440296</td>\n",
- " <td id=\"T_a8a4d_row9_col7\" class=\"data row9 col7\" >0.001200</td>\n",
- " <td id=\"T_a8a4d_row9_col8\" class=\"data row9 col8\" >0.442186</td>\n",
- " <td id=\"T_a8a4d_row9_col9\" class=\"data row9 col9\" >0.542789</td>\n",
- " <td id=\"T_a8a4d_row9_col10\" class=\"data row9 col10\" >0.001213</td>\n",
- " <td id=\"T_a8a4d_row9_col11\" class=\"data row9 col11\" >0.544608</td>\n",
+ " <th id=\"T_5c970_level0_row9\" class=\"row_heading level0 row9\" >RANGER-Fast</th>\n",
+ " <td id=\"T_5c970_row9_col0\" class=\"data row9 col0\" >0.194206</td>\n",
+ " <td id=\"T_5c970_row9_col1\" class=\"data row9 col1\" >0.000827</td>\n",
+ " <td id=\"T_5c970_row9_col2\" class=\"data row9 col2\" >0.195438</td>\n",
+ " <td id=\"T_5c970_row9_col3\" class=\"data row9 col3\" >0.334114</td>\n",
+ " <td id=\"T_5c970_row9_col4\" class=\"data row9 col4\" >0.000921</td>\n",
+ " <td id=\"T_5c970_row9_col5\" class=\"data row9 col5\" >0.335648</td>\n",
+ " <td id=\"T_5c970_row9_col6\" class=\"data row9 col6\" >0.444432</td>\n",
+ " <td id=\"T_5c970_row9_col7\" class=\"data row9 col7\" >0.001029</td>\n",
+ " <td id=\"T_5c970_row9_col8\" class=\"data row9 col8\" >0.445935</td>\n",
+ " <td id=\"T_5c970_row9_col9\" class=\"data row9 col9\" >0.545639</td>\n",
+ " <td id=\"T_5c970_row9_col10\" class=\"data row9 col10\" >0.001375</td>\n",
+ " <td id=\"T_5c970_row9_col11\" class=\"data row9 col11\" >0.547330</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8a4d_level0_row10\" class=\"row_heading level0 row10\" >RANGER</th>\n",
- " <td id=\"T_a8a4d_row10_col0\" class=\"data row10 col0\" >0.185185</td>\n",
- " <td id=\"T_a8a4d_row10_col1\" class=\"data row10 col1\" >0.029114</td>\n",
- " <td id=\"T_a8a4d_row10_col2\" class=\"data row10 col2\" >0.257854</td>\n",
- " <td id=\"T_a8a4d_row10_col3\" class=\"data row10 col3\" >0.321302</td>\n",
- " <td id=\"T_a8a4d_row10_col4\" class=\"data row10 col4\" >0.038715</td>\n",
- " <td id=\"T_a8a4d_row10_col5\" class=\"data row10 col5\" >0.417290</td>\n",
- " <td id=\"T_a8a4d_row10_col6\" class=\"data row10 col6\" >0.433099</td>\n",
- " <td id=\"T_a8a4d_row10_col7\" class=\"data row10 col7\" >0.047991</td>\n",
- " <td id=\"T_a8a4d_row10_col8\" class=\"data row10 col8\" >0.551138</td>\n",
- " <td id=\"T_a8a4d_row10_col9\" class=\"data row10 col9\" >0.535948</td>\n",
- " <td id=\"T_a8a4d_row10_col10\" class=\"data row10 col10\" >0.060955</td>\n",
- " <td id=\"T_a8a4d_row10_col11\" class=\"data row10 col11\" >0.686954</td>\n",
+ " <th id=\"T_5c970_level0_row10\" class=\"row_heading level0 row10\" >RANGER</th>\n",
+ " <td id=\"T_5c970_row10_col0\" class=\"data row10 col0\" >0.185572</td>\n",
+ " <td id=\"T_5c970_row10_col1\" class=\"data row10 col1\" >0.026076</td>\n",
+ " <td id=\"T_5c970_row10_col2\" class=\"data row10 col2\" >0.250368</td>\n",
+ " <td id=\"T_5c970_row10_col3\" class=\"data row10 col3\" >0.319126</td>\n",
+ " <td id=\"T_5c970_row10_col4\" class=\"data row10 col4\" >0.036210</td>\n",
+ " <td id=\"T_5c970_row10_col5\" class=\"data row10 col5\" >0.408998</td>\n",
+ " <td id=\"T_5c970_row10_col6\" class=\"data row10 col6\" >0.424889</td>\n",
+ " <td id=\"T_5c970_row10_col7\" class=\"data row10 col7\" >0.045965</td>\n",
+ " <td id=\"T_5c970_row10_col8\" class=\"data row10 col8\" >0.538960</td>\n",
+ " <td id=\"T_5c970_row10_col9\" class=\"data row10 col9\" >0.528103</td>\n",
+ " <td id=\"T_5c970_row10_col10\" class=\"data row10 col10\" >0.059447</td>\n",
+ " <td id=\"T_5c970_row10_col11\" class=\"data row10 col11\" >0.672744</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f88142f9c70>"
+ "<pandas.io.formats.style.Styler at 0x7fa9f3ffcb90>"
]
},
"metadata": {},
@@ -13825,7 +16306,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/tmp/ipykernel_1835207/1563010837.py:49: DeprecationWarning:\n",
+ "/tmp/ipykernel_1069953/288018447.py:49: DeprecationWarning:\n",
"\n",
"DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
"\n"
@@ -13859,89 +16340,89 @@
" <tbody>\n",
" <tr>\n",
" <th>Count (MP)</th>\n",
- " <td>7.000000</td>\n",
- " <td>4.972376</td>\n",
+ " <td>7.00000</td>\n",
+ " <td>4.736842</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>GLOOME (MP)</th>\n",
+ " <td>7.00000</td>\n",
+ " <td>4.736842</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Count (ML)</th>\n",
- " <td>0.999986</td>\n",
+ " <td>0.99998</td>\n",
" <td>2.600000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GLOOME (ML)</th>\n",
- " <td>0.957300</td>\n",
- " <td>1.840000</td>\n",
+ " <td>0.95620</td>\n",
+ " <td>1.920000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wn</th>\n",
- " <td>13.000000</td>\n",
+ " <td>13.00000</td>\n",
" <td>1.612903</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>ALE</th>\n",
- " <td>0.860000</td>\n",
- " <td>0.800000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>GLOOME (ML) without tree</th>\n",
- " <td>0.746800</td>\n",
- " <td>0.512565</td>\n",
+ " <th>GLOOME (MP) α</th>\n",
+ " <td>8.00000</td>\n",
+ " <td>1.376193</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>GLOOME (MP)</th>\n",
- " <td>1.000000</td>\n",
- " <td>0.476069</td>\n",
+ " <th>ALE</th>\n",
+ " <td>0.77000</td>\n",
+ " <td>0.750000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>GLOOME (MP) without tree</th>\n",
- " <td>1.000000</td>\n",
- " <td>0.419495</td>\n",
+ " <th>GLOOME (ML) α</th>\n",
+ " <td>1.00000</td>\n",
+ " <td>0.711312</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RANGER</th>\n",
- " <td>1.000000</td>\n",
- " <td>0.417290</td>\n",
+ " <td>1.00000</td>\n",
+ " <td>0.408998</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AnGST</th>\n",
- " <td>1.000000</td>\n",
- " <td>0.333211</td>\n",
+ " <td>1.00000</td>\n",
+ " <td>0.337033</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RANGER-Fast</th>\n",
- " <td>1.000000</td>\n",
- " <td>0.332035</td>\n",
+ " <td>1.00000</td>\n",
+ " <td>0.335648</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " transfer threshold \\\n",
- "Count (MP) 7.000000 \n",
- "Count (ML) 0.999986 \n",
- "GLOOME (ML) 0.957300 \n",
- "Wn 13.000000 \n",
- "ALE 0.860000 \n",
- "GLOOME (ML) without tree 0.746800 \n",
- "GLOOME (MP) 1.000000 \n",
- "GLOOME (MP) without tree 1.000000 \n",
- "RANGER 1.000000 \n",
- "AnGST 1.000000 \n",
- "RANGER-Fast 1.000000 \n",
- "\n",
- " max corrected percentage neighboring coacquisitions \n",
- "Count (MP) 4.972376 \n",
- "Count (ML) 2.600000 \n",
- "GLOOME (ML) 1.840000 \n",
- "Wn 1.612903 \n",
- "ALE 0.800000 \n",
- "GLOOME (ML) without tree 0.512565 \n",
- "GLOOME (MP) 0.476069 \n",
- "GLOOME (MP) without tree 0.419495 \n",
- "RANGER 0.417290 \n",
- "AnGST 0.333211 \n",
- "RANGER-Fast 0.332035 "
+ " transfer threshold \\\n",
+ "Count (MP) 7.00000 \n",
+ "GLOOME (MP) 7.00000 \n",
+ "Count (ML) 0.99998 \n",
+ "GLOOME (ML) 0.95620 \n",
+ "Wn 13.00000 \n",
+ "GLOOME (MP) α 8.00000 \n",
+ "ALE 0.77000 \n",
+ "GLOOME (ML) α 1.00000 \n",
+ "RANGER 1.00000 \n",
+ "AnGST 1.00000 \n",
+ "RANGER-Fast 1.00000 \n",
+ "\n",
+ " max corrected percentage neighboring coacquisitions \n",
+ "Count (MP) 4.736842 \n",
+ "GLOOME (MP) 4.736842 \n",
+ "Count (ML) 2.600000 \n",
+ "GLOOME (ML) 1.920000 \n",
+ "Wn 1.612903 \n",
+ "GLOOME (MP) α 1.376193 \n",
+ "ALE 0.750000 \n",
+ "GLOOME (ML) α 0.711312 \n",
+ "RANGER 0.408998 \n",
+ "AnGST 0.337033 \n",
+ "RANGER-Fast 0.335648 "
]
},
"metadata": {},
@@ -13968,9 +16449,9 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
- " <th>Mean (t=0)</th>\n",
- " <th>σ (t=0)</th>\n",
- " <th>Max (t=0)</th>\n",
+ " <th>Mean (t=1)</th>\n",
+ " <th>σ (t=1)</th>\n",
+ " <th>Max (t=1)</th>\n",
" <th>transfer threshold</th>\n",
" </tr>\n",
" <tr>\n",
@@ -13984,99 +16465,99 @@
" <tbody>\n",
" <tr>\n",
" <th>Count (MP)</th>\n",
- " <td>1.352125</td>\n",
- " <td>1.236475</td>\n",
- " <td>3.867403</td>\n",
- " <td>7.000000</td>\n",
+ " <td>1.893386</td>\n",
+ " <td>1.553917</td>\n",
+ " <td>4.736842</td>\n",
+ " <td>7.00000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>GLOOME (ML)</th>\n",
- " <td>0.646375</td>\n",
- " <td>0.329283</td>\n",
- " <td>1.140000</td>\n",
- " <td>0.957300</td>\n",
+ " <th>GLOOME (MP)</th>\n",
+ " <td>1.893386</td>\n",
+ " <td>1.553917</td>\n",
+ " <td>4.736842</td>\n",
+ " <td>7.00000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Count (ML)</th>\n",
- " <td>0.424835</td>\n",
- " <td>0.331386</td>\n",
- " <td>1.200000</td>\n",
- " <td>0.999986</td>\n",
+ " <th>GLOOME (ML)</th>\n",
+ " <td>1.075609</td>\n",
+ " <td>0.490852</td>\n",
+ " <td>1.920000</td>\n",
+ " <td>0.95620</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>ALE</th>\n",
- " <td>0.390667</td>\n",
- " <td>0.190815</td>\n",
- " <td>0.800000</td>\n",
- " <td>0.860000</td>\n",
+ " <th>Count (ML)</th>\n",
+ " <td>0.896233</td>\n",
+ " <td>0.523120</td>\n",
+ " <td>2.600000</td>\n",
+ " <td>0.99998</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Wn</th>\n",
- " <td>0.353420</td>\n",
- " <td>0.545703</td>\n",
- " <td>1.612903</td>\n",
- " <td>13.000000</td>\n",
+ " <th>GLOOME (MP) α</th>\n",
+ " <td>0.895689</td>\n",
+ " <td>0.409391</td>\n",
+ " <td>1.376193</td>\n",
+ " <td>8.00000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>GLOOME (MP)</th>\n",
- " <td>0.270648</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.270648</td>\n",
- " <td>1.000000</td>\n",
+ " <th>GLOOME (ML) α</th>\n",
+ " <td>0.498833</td>\n",
+ " <td>0.118945</td>\n",
+ " <td>0.711312</td>\n",
+ " <td>1.00000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>GLOOME (ML) without tree</th>\n",
- " <td>0.245733</td>\n",
- " <td>0.038417</td>\n",
- " <td>0.300000</td>\n",
- " <td>0.746800</td>\n",
+ " <th>Wn</th>\n",
+ " <td>0.469948</td>\n",
+ " <td>0.488747</td>\n",
+ " <td>1.612903</td>\n",
+ " <td>13.00000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>GLOOME (MP) without tree</th>\n",
- " <td>0.242475</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.242475</td>\n",
- " <td>1.000000</td>\n",
+ " <th>ALE</th>\n",
+ " <td>0.451718</td>\n",
+ " <td>0.158290</td>\n",
+ " <td>0.750000</td>\n",
+ " <td>0.77000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AnGST</th>\n",
- " <td>0.190923</td>\n",
+ " <td>0.337033</td>\n",
" <td>0.000000</td>\n",
- " <td>0.190923</td>\n",
- " <td>1.000000</td>\n",
+ " <td>0.337033</td>\n",
+ " <td>1.00000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RANGER-Fast</th>\n",
- " <td>0.190396</td>\n",
- " <td>0.001125</td>\n",
- " <td>0.192018</td>\n",
- " <td>1.000000</td>\n",
+ " <td>0.334114</td>\n",
+ " <td>0.000921</td>\n",
+ " <td>0.335648</td>\n",
+ " <td>1.00000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RANGER</th>\n",
- " <td>0.185185</td>\n",
- " <td>0.029114</td>\n",
- " <td>0.257854</td>\n",
- " <td>1.000000</td>\n",
+ " <td>0.319126</td>\n",
+ " <td>0.036210</td>\n",
+ " <td>0.408998</td>\n",
+ " <td>1.00000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " Mean (t=0) σ (t=0) Max (t=0) transfer threshold\n",
- "method \n",
- "Count (MP) 1.352125 1.236475 3.867403 7.000000\n",
- "GLOOME (ML) 0.646375 0.329283 1.140000 0.957300\n",
- "Count (ML) 0.424835 0.331386 1.200000 0.999986\n",
- "ALE 0.390667 0.190815 0.800000 0.860000\n",
- "Wn 0.353420 0.545703 1.612903 13.000000\n",
- "GLOOME (MP) 0.270648 0.000000 0.270648 1.000000\n",
- "GLOOME (ML) without tree 0.245733 0.038417 0.300000 0.746800\n",
- "GLOOME (MP) without tree 0.242475 0.000000 0.242475 1.000000\n",
- "AnGST 0.190923 0.000000 0.190923 1.000000\n",
- "RANGER-Fast 0.190396 0.001125 0.192018 1.000000\n",
- "RANGER 0.185185 0.029114 0.257854 1.000000"
+ " Mean (t=1) σ (t=1) Max (t=1) transfer threshold\n",
+ "method \n",
+ "Count (MP) 1.893386 1.553917 4.736842 7.00000\n",
+ "GLOOME (MP) 1.893386 1.553917 4.736842 7.00000\n",
+ "GLOOME (ML) 1.075609 0.490852 1.920000 0.95620\n",
+ "Count (ML) 0.896233 0.523120 2.600000 0.99998\n",
+ "GLOOME (MP) α 0.895689 0.409391 1.376193 8.00000\n",
+ "GLOOME (ML) α 0.498833 0.118945 0.711312 1.00000\n",
+ "Wn 0.469948 0.488747 1.612903 13.00000\n",
+ "ALE 0.451718 0.158290 0.750000 0.77000\n",
+ "AnGST 0.337033 0.000000 0.337033 1.00000\n",
+ "RANGER-Fast 0.334114 0.000921 0.335648 1.00000\n",
+ "RANGER 0.319126 0.036210 0.408998 1.00000"
]
},
"metadata": {},
@@ -14088,20 +16569,20 @@
"text": [
"\\begin{tabular}{lrrrr}\n",
"\\toprule\n",
- " & Mean (t=0) & $\\sigma$ (t=0) & Max (t=0) & transfer threshold \\\\\n",
+ " & Mean (t=1) & \\textit{s} (t=1) & Max (t=1) & transfer threshold \\\\\n",
"method & & & & \\\\\n",
"\\midrule\n",
- "Count (MP) & 1.35213 & 1.23647 & 3.86740 & 7.00000 \\\\\n",
- "GLOOME (ML) & 0.64638 & 0.32928 & 1.14000 & 0.95730 \\\\\n",
- "Count (ML) & 0.42483 & 0.33139 & 1.20000 & 0.99999 \\\\\n",
- "ALE & 0.39067 & 0.19081 & 0.80000 & 0.86000 \\\\\n",
- "Wn & 0.35342 & 0.54570 & 1.61290 & 13.00000 \\\\\n",
- "GLOOME (MP) & 0.27065 & 0.00000 & 0.27065 & 1.00000 \\\\\n",
- "GLOOME (ML) without tree & 0.24573 & 0.03842 & 0.30000 & 0.74680 \\\\\n",
- "GLOOME (MP) without tree & 0.24248 & 0.00000 & 0.24248 & 1.00000 \\\\\n",
- "AnGST & 0.19092 & 0.00000 & 0.19092 & 1.00000 \\\\\n",
- "RANGER-Fast & 0.19040 & 0.00113 & 0.19202 & 1.00000 \\\\\n",
- "RANGER & 0.18518 & 0.02911 & 0.25785 & 1.00000 \\\\\n",
+ "Count (MP) & 1.893 & 1.554 & 4.737 & 7.000 \\\\\n",
+ "GLOOME (MP) & 1.893 & 1.554 & 4.737 & 7.000 \\\\\n",
+ "GLOOME (ML) & 1.076 & 0.491 & 1.920 & 0.956 \\\\\n",
+ "Count (ML) & 0.896 & 0.523 & 2.600 & 1.000 \\\\\n",
+ "GLOOME (MP) α & 0.896 & 0.409 & 1.376 & 8.000 \\\\\n",
+ "GLOOME (ML) α & 0.499 & 0.119 & 0.711 & 1.000 \\\\\n",
+ "Wn & 0.470 & 0.489 & 1.613 & 13.000 \\\\\n",
+ "ALE & 0.452 & 0.158 & 0.750 & 0.770 \\\\\n",
+ "AnGST & 0.337 & 0.000 & 0.337 & 1.000 \\\\\n",
+ "RANGER-Fast & 0.334 & 0.001 & 0.336 & 1.000 \\\\\n",
+ "RANGER & 0.319 & 0.036 & 0.409 & 1.000 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
@@ -14143,7 +16624,7 @@
"all_mean_std_df = pd.concat(all_mean_std_dfs, axis=1)\n",
"\n",
"# print the tables as latex, with 3 decimal places. This is after concatenating the dataframes, except for the second one\n",
- "print(pd.concat([df for i, df in enumerate(all_mean_std_dfs) if i != 1], axis=1).to_latex(float_format=\"%.3f\").replace(\"σ\", r\"$\\sigma$\"))\n",
+ "print(pd.concat([df for i, df in enumerate(all_mean_std_dfs) if i != 1], axis=1).to_latex(float_format=\"%.3f\").replace(\"σ\", r\"\\textit{s}\"))\n",
"\n",
"# highlight the maximum value in each column in yellow\n",
"all_mean_std_df = all_mean_std_df.style.highlight_max(color='yellow', axis=0)\n",
@@ -14171,11 +16652,470 @@
"# table for t=1, with 3 decimal places, and replace sigma with the latex sigma, and print it for latex\n",
"# print(all_mean_std_dfs[0].to_latex(float_format=\"%.3f\").replace(\"σ\", r\"$\\sigma$\"))\n",
"# combine with the table for transfer thresholds and print it for latex\n",
- "t1_mean_std_df = all_mean_std_dfs[0]\n",
+ "t1_mean_std_df = all_mean_std_dfs[1]\n",
"t1_mean_std_df = t1_mean_std_df.join(max_percentage_thresholds['transfer threshold'])\n",
"display(t1_mean_std_df)\n",
- "print(t1_mean_std_df.to_latex(float_format=\"%.5f\").replace(\"σ\", r\"$\\sigma$\"))"
+ "print(t1_mean_std_df.to_latex(float_format=\"%.3f\").replace(\"σ\", r\"\\textit{s}\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Distribution of distances between coacquisitions\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The following methods are included in the coacquisitions data:\n",
+ "['gloome.ml', 'gloome.ml.without_tree', 'angst', 'ale', 'ranger-fast', 'ranger', 'count.ml', 'wn']\n"
+ ]
+ }
+ ],
+ "source": [
+ "# for number of coacquisitions (with known positions) being 1e3, 1e4, 1e5,\n",
+ "# plot the observed distributions of distances between coacquired genes\n",
+ "\n",
+ "automatic_stringency_coacq_dfs = clsl.load_data(res_dir, include_manual_thresholds=False)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The following methods are included in the coacquisitions data:\n",
+ "['wn', 'wn.4.0', 'wn.5.0', 'wn.7.0', 'wn.6.0', 'wn.13.0', 'wn.10.0', 'wn.8.0', 'wn.12.0', 'wn.11.0', 'wn.9.0']\n",
+ "Keys to delete: ['wn', 'wn.5.0', 'wn.13.0', 'wn.10.0', 'wn.8.0', 'wn.12.0', 'wn.11.0', 'wn.9.0']\n",
+ "The following methods are included in the coacquisitions data:\n",
+ "['count.mp.0.33', 'count.mp.0.5', 'count.mp.1', 'count.mp.2', 'count.mp.3', 'count.mp.4', 'count.mp.5', 'count.mp.6', 'count.mp.7', 'count.mp.8']\n",
+ "Keys to delete: ['count.mp.0.33', 'count.mp.0.5', 'count.mp.1', 'count.mp.3', 'count.mp.5', 'count.mp.7', 'count.mp.8']\n",
+ "The following methods are included in the coacquisitions data:\n",
+ "['gloome.mp.0.33', 'gloome.mp.0.5', 'gloome.mp.1', 'gloome.mp.2', 'gloome.mp.3', 'gloome.mp.4', 'gloome.mp.5', 'gloome.mp.6', 'gloome.mp.7', 'gloome.mp.8', 'gloome.mp.without_tree.0.33', 'gloome.mp.without_tree.0.5', 'gloome.mp.without_tree.1', 'gloome.mp.without_tree.2', 'gloome.mp.without_tree.3', 'gloome.mp.without_tree.4', 'gloome.mp.without_tree.5', 'gloome.mp.without_tree.6', 'gloome.mp.without_tree.7', 'gloome.mp.without_tree.8']\n",
+ "Keys to delete: ['gloome.mp.0.33', 'gloome.mp.0.5', 'gloome.mp.1', 'gloome.mp.3', 'gloome.mp.5', 'gloome.mp.7', 'gloome.mp.8', 'gloome.mp.without_tree.0.33', 'gloome.mp.without_tree.0.5', 'gloome.mp.without_tree.1', 'gloome.mp.without_tree.2', 'gloome.mp.without_tree.3', 'gloome.mp.without_tree.4', 'gloome.mp.without_tree.5', 'gloome.mp.without_tree.6', 'gloome.mp.without_tree.7', 'gloome.mp.without_tree.8']\n",
+ "The following methods are included in the coacquisitions data:\n",
+ "['gloome.mp.0.33', 'gloome.mp.0.5', 'gloome.mp.1', 'gloome.mp.2', 'gloome.mp.3', 'gloome.mp.4', 'gloome.mp.5', 'gloome.mp.6', 'gloome.mp.7', 'gloome.mp.8', 'gloome.mp.without_tree.0.33', 'gloome.mp.without_tree.0.5', 'gloome.mp.without_tree.1', 'gloome.mp.without_tree.2', 'gloome.mp.without_tree.3', 'gloome.mp.without_tree.4', 'gloome.mp.without_tree.5', 'gloome.mp.without_tree.6', 'gloome.mp.without_tree.7', 'gloome.mp.without_tree.8']\n",
+ "Keys to delete: ['gloome.mp.0.33', 'gloome.mp.0.5', 'gloome.mp.1', 'gloome.mp.2', 'gloome.mp.3', 'gloome.mp.4', 'gloome.mp.5', 'gloome.mp.6', 'gloome.mp.7', 'gloome.mp.8', 'gloome.mp.without_tree.0.33', 'gloome.mp.without_tree.0.5', 'gloome.mp.without_tree.1', 'gloome.mp.without_tree.2', 'gloome.mp.without_tree.3', 'gloome.mp.without_tree.5', 'gloome.mp.without_tree.6', 'gloome.mp.without_tree.7']\n"
+ ]
+ }
+ ],
+ "source": [
+ "# based on the neighboring coacquisitions analysis above,\n",
+ "# we set the stringency levels for the different methods\n",
+ "# to see the distributions of distances between coacquired genes\n",
+ "manual_stringency_dict = {\n",
+ " # method: stringency level for [1e3, 1e4, 1e5]\n",
+ " 'wn': [7, 6, 4],\n",
+ " 'count_mp': [6, 4, 2],\n",
+ " 'gloome_mp': [6, 4, 2],\n",
+ " 'gloome_mp.without_tree': [8, 8, 4],\n",
+ "}\n",
+ "# for each of the methods where we manually set the stringency,\n",
+ "## we read in only the corresponding coacquisition file based on this dictionary above\n",
+ "\n",
+ "manual_threshold_coacq_dfs = {}\n",
+ "for method, stringency_levels in manual_stringency_dict.items():\n",
+ " # read in the coacquisitions for this method\n",
+ " coacq_dfs = clsl.load_data(\n",
+ " os.path.join(res_dir, method.split('.')[0]),\n",
+ " include_manual_thresholds=True\n",
+ " )\n",
+ " # add min_transfers column\n",
+ " coacq_dfs = clsl.calculate_min_transfers(coacq_dfs)\n",
+ " # keep only the dfs for stringency levels as defined in the dictionary\n",
+ " keys_to_delete = []\n",
+ " method_name = method.replace('_', '.', 1)\n",
+ " for method_stringency in list(coacq_dfs.keys()):\n",
+ " try:\n",
+ " stringency = float(method_stringency.replace(f'{method_name}.', ''))\n",
+ " except ValueError:\n",
+ " # if the stringency level is not a float, then it is not a stringency level\n",
+ " keys_to_delete.append(method_stringency)\n",
+ " continue\n",
+ " # check if the stringency level is in the list of stringency levels for this method\n",
+ " if stringency not in stringency_levels:\n",
+ " keys_to_delete.append(method_stringency)\n",
+ " print(f\"Keys to delete: {keys_to_delete}\")\n",
+ " for k in keys_to_delete:\n",
+ " del coacq_dfs[k]\n",
+ " manual_threshold_coacq_dfs[method_name] = {}\n",
+ " for k, df in coacq_dfs.items():\n",
+ " # find the stringency level for this df\n",
+ " stringency = float(k.replace(f'{method_name}.', ''))\n",
+ " manual_threshold_coacq_dfs[method_name][stringency] = df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Method: wn, stringency_dfs keys: dict_keys([4.0, 7.0, 6.0])\n",
+ "Method: count.mp, stringency_dfs keys: dict_keys([2.0, 4.0, 6.0])\n",
+ "Method: gloome.mp, stringency_dfs keys: dict_keys([2.0, 4.0, 6.0])\n",
+ "Method: gloome.mp.without_tree, stringency_dfs keys: dict_keys([4.0, 8.0])\n"
+ ]
+ }
+ ],
+ "source": [
+ "# print keys of both levels of the dictionary\n",
+ "for method, stringency_dfs in manual_threshold_coacq_dfs.items():\n",
+ " print(f\"Method: {method}, stringency_dfs keys: {stringency_dfs.keys()}\")\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Method: ale, num_coacq: 1000.0, first bin y: 0.8\n",
+ "Method: angst, num_coacq: 1000.0, first bin y: 0.2\n",
+ "Method: count.ml, num_coacq: 1000.0, first bin y: 2.0\n",
+ "Method: gloome.ml, num_coacq: 1000.0, first bin y: 3.5999999999999996\n",
+ "Method: gloome.ml.without_tree, num_coacq: 1000.0, first bin y: 1.4000000000000001\n",
+ "Method: ranger, num_coacq: 1000.0, first bin y: 0.2\n",
+ "Method: ranger-fast, num_coacq: 1000.0, first bin y: 0.1\n",
+ "Method: count.mp, num_coacq: 1000.0, first bin y: 5.0\n",
+ "Method: gloome.mp, num_coacq: 1000.0, first bin y: 5.3\n",
+ "Method: gloome.mp.without_tree, num_coacq: 1000.0, first bin y: 0.2\n",
+ "Method: wn, num_coacq: 1000.0, first bin y: 0.2\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x1000 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Method: ale, num_coacq: 10000.0, first bin y: 0.6\n",
+ "Method: angst, num_coacq: 10000.0, first bin y: 0.38999999999999996\n",
+ "Method: count.ml, num_coacq: 10000.0, first bin y: 0.5499999999999999\n",
+ "Method: gloome.ml, num_coacq: 10000.0, first bin y: 1.95\n",
+ "Method: gloome.ml.without_tree, num_coacq: 10000.0, first bin y: 0.8200000000000001\n",
+ "Method: ranger, num_coacq: 10000.0, first bin y: 0.42\n",
+ "Method: ranger-fast, num_coacq: 10000.0, first bin y: 0.22999999999999998\n",
+ "Method: count.mp, num_coacq: 10000.0, first bin y: 2.4350294824197425\n",
+ "Method: gloome.mp, num_coacq: 10000.0, first bin y: 2.4350294824197425\n",
+ "Method: gloome.mp.without_tree, num_coacq: 10000.0, first bin y: 1.35\n",
+ "Method: wn, num_coacq: 10000.0, first bin y: 0.36\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x1000 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Method: ale, num_coacq: 100000.0, first bin y: 0.316\n",
+ "Method: angst, num_coacq: 100000.0, first bin y: 0.293\n",
+ "Method: count.ml, num_coacq: 100000.0, first bin y: 0.8920000000000001\n",
+ "Method: gloome.ml, num_coacq: 100000.0, first bin y: 0.947\n",
+ "Method: gloome.ml.without_tree, num_coacq: 100000.0, first bin y: 0.5479999999999999\n",
+ "Method: ranger, num_coacq: 100000.0, first bin y: 0.338\n",
+ "Method: ranger-fast, num_coacq: 100000.0, first bin y: 0.293\n",
+ "Method: count.mp, num_coacq: 100000.0, first bin y: 0.712\n",
+ "Method: gloome.mp, num_coacq: 100000.0, first bin y: 0.7100000000000001\n",
+ "Method: gloome.mp.without_tree, num_coacq: 100000.0, first bin y: 1.160097692437258\n",
+ "Method: wn, num_coacq: 100000.0, first bin y: 0.174\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x1000 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# for each method's df,\n",
+ "## retain only coacquisitions with known positions (`cq_df = cq_df[cq_df[\"notes\"] == \"gene_positions_are_available\"]`)\n",
+ "## sort descending by the minimum of columns: nog1_transfers and nog2_transfers\n",
+ "## keep only the top 1e3, 1e4, 1e5 rows\n",
+ "### for each of these cases, plot the distribution of col: num_genes_between as a KDE\n",
+ "## save the plot as a jpg file\n",
+ "\n",
+ "from adjustText import adjust_text\n",
+ "\n",
+ "annotation_scale = 0.3\n",
+ "for i, num_coacq in enumerate([1e3, 1e4, 1e5]):\n",
+ " fig, ax = plt.subplots(figsize=(10, 10))\n",
+ " # set up inset axes for the full figure but in the main plot only show until right_x_lim\n",
+ " right_x_lim = 100\n",
+ " axins = ax.inset_axes([0.7, 0.7, 0.3, 0.3])\n",
+ " # x and y limits for the inset won't be set\n",
+ " annotations_texts = []\n",
+ " for method in sorted(list(automatic_stringency_coacq_dfs.keys())):\n",
+ " if method in manual_stringency_dict:\n",
+ " # skip the methods that are already in the manual stringency dict\n",
+ " continue\n",
+ " # load the data\n",
+ " cq_df = automatic_stringency_coacq_dfs[method]\n",
+ " # keep only coacquisitions with known positions\n",
+ " cq_df = cq_df[cq_df[\"notes\"] == \"gene_positions_are_available\"]\n",
+ " # sort by the minimum of nog1_transfers and nog2_transfers\n",
+ " cq_df.loc[:, \"min_transfers\"] = cq_df[[\"nog1_transfers\", \"nog2_transfers\"]].min(\n",
+ " axis=1\n",
+ " )\n",
+ " # sort by min_transfers\n",
+ " cq_df = cq_df.sort_values(\"min_transfers\", ascending=False)\n",
+ "\n",
+ " # keep only the top num_coacq rows\n",
+ " cq_df_num = cq_df.head(int(num_coacq))\n",
+ " # plot the distribution of num_genes_between\n",
+ " sns.histplot(\n",
+ " cq_df_num[\"num_genes_between\"],\n",
+ " ax=ax,\n",
+ " stat=\"percent\",\n",
+ " # kde=True,\n",
+ " element=\"step\",\n",
+ " fill=False,\n",
+ " # binwidth of 1\n",
+ " binwidth=1,\n",
+ " color=marker_styles_dict[method][\"marker_color\"],\n",
+ " label=marker_styles_dict[method][\"label\"],\n",
+ " # log_scale=True,\n",
+ " )\n",
+ " # get the y for the first bin by using np.histogram with same binning\n",
+ " # get the histogram data\n",
+ " counts, bin_edges = np.histogram(\n",
+ " cq_df_num[\"num_genes_between\"],\n",
+ " bins=np.arange(0, right_x_lim + 1, 1),\n",
+ " density=False,\n",
+ " )\n",
+ " y_percentages = counts / len(cq_df_num) * 100\n",
+ " first_bin_y = y_percentages[0]\n",
+ " print(\n",
+ " f\"Method: {method}, num_coacq: {num_coacq}, first bin y: {first_bin_y}\"\n",
+ " )\n",
+ " # add the annotation text\n",
+ " annot = ax.annotate(\n",
+ " marker_styles_dict[method][\"label\"],\n",
+ " xy=(-0.05, first_bin_y), # -0.05 is just left of the axes\n",
+ " xycoords=\"data\",\n",
+ " ha=\"right\",\n",
+ " va=\"center\",\n",
+ " color=marker_styles_dict[method][\"face_color\"] if marker_styles_dict[method][\"face_color\"]!=\"white\" else marker_styles_dict[method][\"marker_color\"],\n",
+ " fontsize=annotation_scale * plt.rcParams[\"font.size\"],\n",
+ " )\n",
+ " annotations_texts.append(annot)\n",
+ "\n",
+ " # # plot a y-line in the main plot: This seems incorrect\n",
+ " # ## which shows expectation as average genome size\n",
+ " # # get the genome sizes\n",
+ " # genome_sizes = cq_df[\"contig:genome_size\"].unique()\n",
+ " # genome_sizes = [int(x.split(\":\")[1]) for x in genome_sizes]\n",
+ " # # calculate the average of 1/genome_size\n",
+ " # avg_genome_size_inverse = float(np.mean([1 / x for x in genome_sizes]))\n",
+ " # # plot a y-line in the main plot\n",
+ " # ax.axhline(\n",
+ " # y=avg_genome_size_inverse,\n",
+ " # color=marker_styles_dict[method][\"marker_color\"],\n",
+ " # linestyle=\"--\",\n",
+ " # linewidth=1,\n",
+ " # )\n",
+ "\n",
+ " for method in sorted(list(manual_threshold_coacq_dfs.keys())):\n",
+ " # load the data based on stringency level index matching num_coacq index\n",
+ " stringency_level = manual_stringency_dict[method.replace('.', '_', 1)][i]\n",
+ " cq_df = manual_threshold_coacq_dfs[method][stringency_level]\n",
+ " # keep only coacquisitions with known positions\n",
+ " cq_df = cq_df[cq_df[\"notes\"] == \"gene_positions_are_available\"]\n",
+ " # sort by the minimum of nog1_transfers and nog2_transfers\n",
+ " cq_df = cq_df.sort_values('min_transfers', ascending=False)\n",
+ " # keep only the top num_coacq rows\n",
+ " cq_df_num = cq_df.head(int(num_coacq))\n",
+ " # plot the distribution of num_genes_between\n",
+ " sns.histplot(cq_df_num['num_genes_between'], ax=ax,\n",
+ " stat='percent',\n",
+ " # kde=True,\n",
+ " element='step', fill=False,\n",
+ " # binwidth of 1\n",
+ " binwidth=1,\n",
+ " color=marker_styles_dict[method]['marker_color'],\n",
+ " # log_scale=True,\n",
+ " )\n",
+ " # plot the same data in the inset\n",
+ " sns.histplot(cq_df_num['num_genes_between'], ax=axins,\n",
+ " stat='percent',\n",
+ " # kde=True,\n",
+ " element='step', fill=False,\n",
+ " # binwidth of 1\n",
+ " binwidth=1,\n",
+ " color=marker_styles_dict[method]['marker_color'],\n",
+ " # log_scale=True,\n",
+ " )\n",
+ " # get the y for the first bin by using np.histogram with same binning\n",
+ " # get the histogram data\n",
+ " counts, bin_edges = np.histogram(\n",
+ " cq_df_num[\"num_genes_between\"],\n",
+ " bins=np.arange(0, right_x_lim + 1, 1),\n",
+ " density=False,\n",
+ " )\n",
+ " y_percentages = counts / len(cq_df_num) * 100\n",
+ " first_bin_y = y_percentages[0]\n",
+ " print(\n",
+ " f\"Method: {method}, num_coacq: {num_coacq}, first bin y: {first_bin_y}\"\n",
+ " )\n",
+ " annot = ax.annotate(\n",
+ " marker_styles_dict[method][\"label\"],\n",
+ " xy=(-0.05, first_bin_y), # -0.05 is just left of the axes\n",
+ " xycoords=\"data\",\n",
+ " ha=\"right\",\n",
+ " va=\"center\",\n",
+ " color=marker_styles_dict[method][\"face_color\"] if marker_styles_dict[method][\"face_color\"]!=\"white\" else marker_styles_dict[method][\"marker_color\"],\n",
+ " fontsize=annotation_scale * plt.rcParams[\"font.size\"],\n",
+ " )\n",
+ " annotations_texts.append(annot)\n",
+ "\n",
+ " # # plot a y-line in the main plot: This seems incorrect\n",
+ " # x = np.linspace(1, right_x_lim, 10000)\n",
+ " # y = 1 / x\n",
+ " # ax.plot(x, y, color='black', linestyle='--', linewidth=1)\n",
+ "\n",
+ " # indicate the inset zoom\n",
+ " axins.indicate_inset_zoom(axins)\n",
+ "\n",
+ " right_x_lim = 100\n",
+ " # set xlim to 0 to right_x_lim\n",
+ " ax.set_xlim(0, right_x_lim)\n",
+ "\n",
+ " # set the x and y axis labels\n",
+ " ax.set_xlabel(\"Number of intervening genes\")\n",
+ " axins.set_xlabel(\"\")\n",
+ " ax.set_ylabel(\"Percentage of co-acquisitions\")\n",
+ " axins.set_ylabel(\"\")\n",
+ " # move the ax y-axis to the right\n",
+ " ax.yaxis.tick_right()\n",
+ " ax.yaxis.set_label_position(\"right\")\n",
+ " # adjust annotations to not overlap\n",
+ " adjust_text(\n",
+ " annotations_texts,\n",
+ " only_move={'text': 'y'},\n",
+ " expand_axes=True\n",
+ " )\n",
+ " # # explicitly set all the annotation x=0 right aligned\n",
+ " for annot in annotations_texts:\n",
+ " annot.set_x(0)\n",
+ " annot.set_ha(\"right\")\n",
+ " # set the xy to be 0.5 points to the right\n",
+ " annot.xy = (0, annot.xy[1])\n",
+ "\n",
+ " # Tufte style\n",
+ " # remove top and left spines\n",
+ " ax.spines[\"top\"].set_visible(False)\n",
+ " ax.spines[\"left\"].set_visible(False)\n",
+ " # set the bottom and right spines to be thicker\n",
+ " ax.spines[\"bottom\"].set_linewidth(1.5)\n",
+ " ax.spines[\"right\"].set_linewidth(1.5)\n",
+ " # set the ticks to be thicker\n",
+ " ax.tick_params(axis=\"both\", which=\"major\", width=1.5)\n",
+ " ax.tick_params(axis=\"both\", which=\"minor\", width=1.5)\n",
+ " # set spine limits to be the same as the data limits\n",
+ " max_auto_stringency = max(\n",
+ " [\n",
+ " automatic_stringency_coacq_dfs[method][\"num_genes_between\"].max()\n",
+ " for method in automatic_stringency_coacq_dfs.keys()\n",
+ " ]\n",
+ " )\n",
+ " max_manual_stringency = max(\n",
+ " [\n",
+ " manual_threshold_coacq_dfs[method][stringency_level][\"num_genes_between\"].max()\n",
+ " for method in manual_threshold_coacq_dfs.keys()\n",
+ " for stringency_level in manual_threshold_coacq_dfs[method].keys()\n",
+ " ]\n",
+ " )\n",
+ " # set the y limits to be the same as the data limits\n",
+ " y_data_lims = 0, max(max_auto_stringency, max_manual_stringency)\n",
+ "\n",
+ " # add tick and tick label for the spine limits if they are not already there\n",
+ " # get the tick locations\n",
+ " y_ticks = ax.get_yticks()\n",
+ " # add the tick labels for the spine limits\n",
+ " # add the tick labels for the y axis\n",
+ " if y_data_lims[0] not in y_ticks:\n",
+ " ax.yaxis.set_major_locator(FixedLocator(list(y_ticks) + [y_data_lims[0]]))\n",
+ " ax.yaxis.set_major_formatter(\n",
+ " mpl.ticker.FuncFormatter(\n",
+ " lambda x, pos: (\n",
+ " f\"{x:.2f}\".rstrip(\"0\").rstrip(\".\") if x % 1 != 0 else f\"{int(x)}\"\n",
+ " )\n",
+ " )\n",
+ " )\n",
+ " if y_data_lims[1] not in y_ticks:\n",
+ " ax.yaxis.set_major_locator(FixedLocator(list(y_ticks) + [y_data_lims[1]]))\n",
+ " ax.yaxis.set_major_formatter(\n",
+ " mpl.ticker.FuncFormatter(\n",
+ " lambda x, pos: (\n",
+ " f\"{x:.2f}\".rstrip(\"0\").rstrip(\".\") if x % 1 != 0 else f\"{int(x)}\"\n",
+ " )\n",
+ " )\n",
+ " )\n",
+ "\n",
+ " # let axes breathe by moving the spines away from the data\n",
+ " ax.spines[\"right\"].set_position((\"outward\", 10))\n",
+ " ax.spines[\"bottom\"].set_position((\"outward\", 10))\n",
+ "\n",
+ " # halve the font size of the ticks in axins\n",
+ " axins.tick_params(axis=\"both\", which=\"major\", labelsize=0.5 * mpl.rcParams[\"font.size\"])\n",
+ "\n",
+ " # save as jpg dpi=300\n",
+ " fig.savefig(\n",
+ " os.path.join(\n",
+ " plots_dir,\n",
+ " f\"distribution_of_distances_between_coacquired_genes_{str(num_coacq)}.jpg\",\n",
+ " ),\n",
+ " format=\"jpg\",\n",
+ " bbox_inches=\"tight\",\n",
+ " dpi=300,\n",
+ " )\n",
+ " plt.show()"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
diff --git a/03-analyse_outputs/lib/coacq_logscale_summary_lib.py b/03-analyse_outputs/lib/coacq_logscale_summary_lib.py
index 0f8cf2999684f179a9748dea855a629d19ee9553..116311b296a94a360a4176190e2e55de96ae7d52 100644
--- a/03-analyse_outputs/lib/coacq_logscale_summary_lib.py
+++ b/03-analyse_outputs/lib/coacq_logscale_summary_lib.py
@@ -3,6 +3,12 @@ import pandas as pd
import numpy as np
from IPython.display import display
import multiprocessing as mp
+import math
+import matplotlib.pyplot as plt
+from matplotlib.ticker import FixedLocator
+
+from adjustText import adjust_text
+
"""
This module contains functions to load and summarize coacquisition data, at log scale intervals.
@@ -12,7 +18,24 @@ This module contains functions to load and summarize coacquisition data, at log
pd.options.mode.chained_assignment = None # default='warn'
-def load_data(res_dir):
+def is_float(value: str) -> bool:
+ """
+ Check if a string value can be converted to a float.
+ Arguments:
+ value (str): The string value to check.
+ Returns:
+ bool: True if the value can be converted to a float, False otherwise.
+ """
+ try:
+ float(value)
+ return True
+ except ValueError:
+ return False
+
+
+def load_data(res_dir,
+ include_manual_thresholds=False
+ ):
"""
Load chromosome location data and coacquisition data from specified directories.
@@ -34,29 +57,33 @@ def load_data(res_dir):
"""
coacquisitions_dfs = {
# key is method name: everything after "coacquisitions." and before ".tsv"
- f.partition("coacquisitions.")[2].rpartition(".tsv")[0]: pd.read_csv(
- f"{res_dir}/{f}",
+ os.path.relpath(os.path.join(root, f), res_dir)
+ .partition("coacquisitions.")[2]
+ .rpartition(".tsv")[0]: pd.read_csv(
+ os.path.join(root, f),
sep="\t",
dtype={
- "recipient_branch": str,
- "nog1": str,
- "nog2": str,
- "gene1": str,
- "gene2": str,
- "pair_distances": float,
- "pair_distances_string": str,
- "source_overlap": str,
- "cotransfers": float,
- "num_genes_between": float,
- "contig:genome_size": str,
- "nog1_transfers": float,
- "nog2_transfers": float,
- "notes": str,
+ "recipient_branch": str,
+ "nog1": str,
+ "nog2": str,
+ "gene1": str,
+ "gene2": str,
+ "pair_distances": float,
+ "pair_distances_string": str,
+ "source_overlap": str,
+ "cotransfers": float,
+ "num_genes_between": float,
+ "contig:genome_size": str,
+ "nog1_transfers": float,
+ "nog2_transfers": float,
+ "notes": str,
},
na_values=["NA", "nan"],
)
- for f in os.listdir(res_dir)
- if f.startswith("coacquisitions.") and f.endswith(".tsv")
+ for root, _, files in os.walk(res_dir)
+ for f in files
+ if (f.startswith("coacquisitions.") and f.endswith(".tsv"))
+ and (include_manual_thresholds or not is_float(f.split(".")[-2]))
}
# print all the methods (keys) for which coacquisitions data is in this coacquisitions_dfs dictionary
print("The following methods are included in the coacquisitions data:")
@@ -236,6 +263,7 @@ def calculate_neighbors(coaq_positions_available_df, cutoff, method, coacq_thres
def replace_zeros_with_nan(df):
# replace zeros with NaNs for columns that should not have zeros
+ print(f"Methods in the dataframe: {df['method'].unique()}")
for method in df["method"].unique():
for column in df.columns:
if column in ["method", "threshold"]:
@@ -297,7 +325,7 @@ def summarize_coacquisitions(
# we do this because we want to summarize the coacquisitions at log scale intervals
N = 1
coacq_thresholds = []
- log_multiples = [1, 2, 5, 10]
+ log_multiples = [1, 2, 4, 6, 8, 10]
while True:
for i, multiple in enumerate(log_multiples):
if multiple * 10**N >= min_coacq and multiple * 10**N <= max_coacq:
@@ -550,6 +578,10 @@ def summarize_coacquisitions_manual_thresholds(
method_prefix = f"{method}." if not method.endswith(".") else method
threshold_value = threshold_label.replace(method_prefix, "")
+ if not is_float(threshold_value):
+ print(f"Skipping non-numeric threshold value: {threshold_value}")
+ continue
+
# keep only the coacquisitions with known pair distances
cq_df = cq_df[cq_df["notes"] == "gene_positions_are_available"]
if cq_df.shape[0] < min_coacquisitions:
@@ -612,6 +644,146 @@ def combine_coacquisitions_summary_records(coacquisitions_summary_records_list:
return coacquisitions_summary_df
+# Function to determine the unit scale length for inset axes
+def determine_power_of_ten(lims):
+ power_of_tens = []
+ for lim in lims:
+ lower, upper = lim
+ difference = upper - lower
+ exponent = int(math.floor(math.log10(difference)))
+ power_of_ten = 10 ** (exponent)
+ power_of_tens.append(power_of_ten)
+ return power_of_tens
+
+
+def plot_multiple_figs_with_insets(
+ fig,
+ axes,
+ data_dict,
+ x_col,
+ y_col,
+ marker_styles_dict,
+ xlims,
+ ylims,
+ xlabel,
+ ylabel,
+ insets,
+):
+ min_numerator = 0 # if 0, then in paper we add notes about the fact that there may be small number effects
+
+ # sort the data_dict by method name in reverse order
+ data_dict = dict(sorted(data_dict.items(), key=lambda x: x[0]))
+
+ for i, (name, data_df) in enumerate(data_dict.items()):
+ ax = axes[i]
+ if insets[i] is not None:
+ axins = ax.inset_axes(insets[i])
+ else:
+ axins = None
+
+ # sort the data_df by method and x_col
+ data_df = data_df.sort_values(by=["method", x_col], ascending=[False, True])
+
+ # loop over methods, and plot the data
+ for method in data_df["method"].unique():
+ method_df = data_df[data_df["method"] == method]
+ # check if all values in method_df[y_col] are NaN or zero, if yes then skip plotting
+ if method_df[y_col].isnull().all() or (method_df[y_col] == 0).all():
+ continue
+ # some of the percentage values are very low, so we filter out the rows where the absolute value of the numerator is < min_numerator
+ method_df = method_df[
+ method_df[x_col] * method_df[y_col] / 100 > min_numerator
+ ]
+ # plot the data
+ ax.plot(
+ method_df[x_col],
+ method_df[y_col],
+ # marker styles from marker_styles_dict
+ marker=marker_styles_dict[method]["marker_pyplot"],
+ color=marker_styles_dict[method]["marker_color"],
+ markerfacecolor=marker_styles_dict[method]["face_color"],
+ )
+ # now plot the same data in the inset
+ if axins is not None:
+ axins.plot(
+ method_df[x_col],
+ method_df[y_col], # type: ignore
+ marker=marker_styles_dict[method]["marker_pyplot"],
+ color=marker_styles_dict[method]["marker_color"],
+ markerfacecolor=marker_styles_dict[method]["face_color"],
+ )
+
+ if insets[i] is None:
+ continue
+ elif insets[i] is not None:
+ # set labels and scales for inset
+ xlim = xlims[i]
+ ylim = ylims[i]
+ axins.set_xlim(xlim) # type: ignore
+ axins.set_ylim(ylim) # type: ignore
+ # for inset, we want only the major ticks and in smaller font
+ axins.tick_params(axis="both", which="major", labelsize=15) # type: ignore
+ axins.tick_params(axis="both", which="minor", labelsize=15) # type: ignore
+ axins.xaxis.set_major_locator(FixedLocator([xlim[0], xlim[1]])) # type: ignore
+ axins.yaxis.set_major_locator(FixedLocator([ylim[0], ylim[1]])) # type: ignore
+ axins.yaxis.set_minor_locator(FixedLocator([ylim[0], ylim[1]])) # type: ignore
+ axins.xaxis.set_minor_locator(FixedLocator([xlim[0], xlim[1]])) # type: ignore
+ # find unit scales for x and y axes ofinset
+ x_power_of_ten, y_power_of_ten = determine_power_of_ten([xlim, ylim])
+ # modify the labels to be in powers of 10
+ if x_power_of_ten > 10:
+ axins.set_xticklabels( # type: ignore
+ [
+ f"{x/x_power_of_ten:.1f}x$10^{int(np.log10(x_power_of_ten))}$"
+ for x in [xlim[0], xlim[1]]
+ ]
+ )
+ if y_power_of_ten > 10:
+ axins.set_yticklabels( # type: ignore
+ [
+ f"{y/y_power_of_ten:.1f}x$10^{int(np.log10(y_power_of_ten))}$"
+ for y in [ylim[0], ylim[1]]
+ ]
+ )
+
+ axins.grid(False) # type: ignore
+ ax.indicate_inset_zoom(axins)
+
+ # Tufte style
+ # remove the top and right spines
+ ax.spines["top"].set_visible(False)
+ ax.spines["right"].set_visible(False)
+ # set the bottom and left spines to be thicker
+ ax.spines["bottom"].set_linewidth(1.5)
+ ax.spines["left"].set_linewidth(1.5)
+ # set the ticks to be thicker
+ ax.tick_params(axis="both", which="major", width=1.5)
+ ax.tick_params(axis="both", which="minor", width=1.5)
+ # set the spine bounds to be the same as the data limits
+ filtered_data_df = data_df[
+ (data_df[x_col] * data_df[y_col] / 100 > min_numerator)
+ & (data_df[y_col] > 0)
+ ]
+ x_data_lims = filtered_data_df[x_col].min(), filtered_data_df[x_col].max()
+ y_data_lims = filtered_data_df[y_col].min(), filtered_data_df[y_col].max()
+ ax.spines["left"].set_bounds(y_data_lims[0], y_data_lims[1])
+ ax.spines["bottom"].set_bounds(x_data_lims[0], x_data_lims[1])
+
+ # let axes breathe by moving the spines away from the data
+ ax.spines["left"].set_position(("outward", 10))
+ ax.spines["bottom"].set_position(("outward", 10))
+
+ # add margins
+ ax.margins(x=0.05, y=0.05)
+ # set labels and scales
+ ax.set_xlabel(f"{xlabel} ({name})")
+ ax.set_ylabel(ylabel)
+ ax.set_xscale("log")
+ ax.grid(False)
+
+ return fig, axes
+
+
###############################################################################################
# EXAMPLE USAGE ###############################################################################
###############################################################################################