listening-analysis/analysis.ipynb

407 lines
265 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

{
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.4-final"
},
"orig_nbformat": 2,
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2,
"cells": [
{
"source": [
"# Listening Analysis\n",
"\n",
"Combining Spotify & Last.fm data for exploring habits and trends\n",
"Uses two data sources,\n",
"\n",
"1. Last.fm scrobbles\n",
"2. Spotify audio features\n",
"\n",
"The two are joined by searching Last.fm tracks on Spotify to get a Uri, the track name and artist name are provided for the query.\n",
"These Uris can be used to retrieve Spotify feature descriptors. `all_joined()` gets a BigQuery of that joins the scrobble time series with their audio features and provides this as a panda frame."
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"track object\n",
"album object\n",
"artist object\n",
"time object\n",
"uri object\n",
"acousticness float64\n",
"danceability float64\n",
"duration_ms int64\n",
"energy float64\n",
"instrumentalness float64\n",
"key int64\n",
"liveness float64\n",
"loudness float64\n",
"mode int64\n",
"speechiness float64\n",
"tempo float64\n",
"time_signature int64\n",
"valence float64\n",
"dtype: object"
]
},
"metadata": {},
"execution_count": 14
}
],
"source": [
"scrobbles.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"tags": []
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" acousticness danceability duration_ms energy instrumentalness \\\n",
"mean 0.170649 0.589141 2.422924e+05 0.711968 0.213591 \n",
"std 0.246679 0.173905 1.220714e+05 0.204289 0.335353 \n",
"min 0.000000 0.000000 1.578700e+04 0.000000 0.000000 \n",
"25% 0.004320 0.470000 1.893220e+05 0.586000 0.000000 \n",
"50% 0.045500 0.599000 2.264410e+05 0.749000 0.001100 \n",
"75% 0.237000 0.724000 2.787440e+05 0.878000 0.394000 \n",
"max 0.996000 0.981000 4.995315e+06 0.999000 0.995000 \n",
"\n",
" key liveness loudness mode speechiness tempo \\\n",
"mean 5.328584 0.216903 -7.127309 0.581856 0.146982 124.640429 \n",
"std 3.673929 0.173524 3.646891 0.493257 0.136440 30.809049 \n",
"min 0.000000 0.000000 -60.000000 0.000000 0.000000 0.000000 \n",
"25% 2.000000 0.099900 -8.590000 0.000000 0.047500 97.805000 \n",
"50% 6.000000 0.141000 -6.472000 1.000000 0.080800 124.992000 \n",
"75% 9.000000 0.300000 -4.827000 1.000000 0.223000 143.188000 \n",
"max 11.000000 0.995000 3.108000 1.000000 0.966000 248.028000 \n",
"\n",
" time_signature valence \n",
"mean 3.957806 0.418024 \n",
"std 0.356726 0.236941 \n",
"min 0.000000 0.000000 \n",
"25% 4.000000 0.221000 \n",
"50% 4.000000 0.398000 \n",
"75% 4.000000 0.597000 \n",
"max 5.000000 0.983000 "
],
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>acousticness</th>\n <th>danceability</th>\n <th>duration_ms</th>\n <th>energy</th>\n <th>instrumentalness</th>\n <th>key</th>\n <th>liveness</th>\n <th>loudness</th>\n <th>mode</th>\n <th>speechiness</th>\n <th>tempo</th>\n <th>time_signature</th>\n <th>valence</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>mean</th>\n <td>0.170649</td>\n <td>0.589141</td>\n <td>2.422924e+05</td>\n <td>0.711968</td>\n <td>0.213591</td>\n <td>5.328584</td>\n <td>0.216903</td>\n <td>-7.127309</td>\n <td>0.581856</td>\n <td>0.146982</td>\n <td>124.640429</td>\n <td>3.957806</td>\n <td>0.418024</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0.246679</td>\n <td>0.173905</td>\n <td>1.220714e+05</td>\n <td>0.204289</td>\n <td>0.335353</td>\n <td>3.673929</td>\n <td>0.173524</td>\n <td>3.646891</td>\n <td>0.493257</td>\n <td>0.136440</td>\n <td>30.809049</td>\n <td>0.356726</td>\n <td>0.236941</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>1.578700e+04</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>-60.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0.004320</td>\n <td>0.470000</td>\n <td>1.893220e+05</td>\n <td>0.586000</td>\n <td>0.000000</td>\n <td>2.000000</td>\n <td>0.099900</td>\n <td>-8.590000</td>\n <td>0.000000</td>\n <td>0.047500</td>\n <td>97.805000</td>\n <td>4.000000</td>\n <td>0.221000</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0.045500</td>\n <td>0.599000</td>\n <td>2.264410e+05</td>\n <td>0.749000</td>\n <td>0.001100</td>\n <td>6.000000</td>\n <td>0.141000</td>\n <td>-6.472000</td>\n <td>1.000000</td>\n <td>0.080800</td>\n <td>124.992000</td>\n <td>4.000000</td>\n <td>0.398000</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0.237000</td>\n <td>0.724000</td>\n <td>2.787440e+05</td>\n <td>0.878000</td>\n <td>0.394000</td>\n <td>9.000000</td>\n <td>0.300000</td>\n <td>-4.827000</td>\n <td>1.000000</td>\n <td>0.223000</td>\n <td>143.188000</td>\n <td>4.000000</td>\n <td>0.597000</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0.996000</td>\n <td>0.981000</td>\n <td>4.995315e+06</td>\n <td>0.999000</td>\n <td>0.995000</td>\n <td>11.000000</td>\n <td>0.995000</td>\n <td>3.108000</td>\n <td>1.000000</td>\n <td>0.966000</td>\n <td>248.028000</td>\n <td>5.000000</td>\n <td>0.983000</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {},
"execution_count": 4
}
],
"source": [
"scrobbles.describe()[1:]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" track \\\n",
"34017 Blackbird - Gorgon City Remix \n",
"81549 Lanterns - Dead Man's Chest Remix \n",
"46080 ID Check - Original Mix \n",
"43376 Up & Down \n",
"73918 Cuatro \n",
"... ... \n",
"74391 Julia \n",
"61000 Site Zero / The Vault \n",
"32139 Reminder (feat. How To Dress Well) \n",
"78339 Monsoon \n",
"59279 Let Go (interlude) \n",
"\n",
" album artist \\\n",
"34017 Blackbird EP Joeski \n",
"81549 Lanterns / Lanterns (Dead Man's Chest Remix) Tim Reaper \n",
"46080 Toolroom Ibiza 2019 Ben A \n",
"43376 Emotion EP Purple Disco Machine \n",
"73918 Tomahawk EP Mystic State \n",
"... ... ... \n",
"74391 Void RL Grime \n",
"61000 Void RL Grime \n",
"32139 Void RL Grime \n",
"78339 Void RL Grime \n",
"59279 Void RL Grime \n",
"\n",
" time uri \\\n",
"34017 2020-12-31 18:35:28+00:00 spotify:track:3eGyeq8R8PscX1d13c9eJP \n",
"81549 2020-12-31 18:28:13+00:00 spotify:track:3lc7wN7T29s7uRbPZR0hTH \n",
"46080 2020-12-31 18:22:07+00:00 spotify:track:4x94xmQhUnd59k8oGM7AkG \n",
"43376 2020-12-31 17:52:23+00:00 spotify:track:11DRarpv190YnCAXt85uFA \n",
"73918 2020-12-31 17:00:28+00:00 spotify:track:6JBKvAWsMvo68a9pMa9Ujn \n",
"... ... ... \n",
"74391 2017-11-03 03:35:27+00:00 spotify:track:4or82pWT9zvQNIoGckZiYb \n",
"61000 2017-11-03 03:28:51+00:00 spotify:track:762ME2OHjuGo4xTbfZhpok \n",
"32139 2017-11-03 02:54:37+00:00 spotify:track:2JUdMBlA5JzuemLGzZNDrf \n",
"78339 2017-11-03 02:50:23+00:00 spotify:track:0jYAtTuRsRdHMuvaOXIAj5 \n",
"59279 2017-11-03 02:43:01+00:00 spotify:track:39FvWuHBtYQTJNdisJxZIG \n",
"\n",
" acousticness danceability duration_ms energy instrumentalness key \\\n",
"34017 0.000542 0.803 389834 0.857 0.840 4 \n",
"81549 0.001530 0.537 440255 0.868 0.877 10 \n",
"46080 0.001720 0.809 372614 0.982 0.911 6 \n",
"43376 0.032000 0.758 409961 0.913 0.739 5 \n",
"73918 0.040300 0.621 342866 0.680 0.803 9 \n",
"... ... ... ... ... ... ... \n",
"74391 0.003340 0.573 301429 0.932 0.744 9 \n",
"61000 0.683000 0.289 464015 0.404 0.854 7 \n",
"32139 0.683000 0.593 260075 0.560 0.109 3 \n",
"78339 0.034600 0.546 254815 0.850 0.680 10 \n",
"59279 0.181000 0.361 153346 0.727 0.710 7 \n",
"\n",
" liveness loudness mode speechiness tempo time_signature valence \n",
"34017 0.0787 -7.273 0 0.0449 125.016 4 0.2230 \n",
"81549 0.5730 -7.319 0 0.0618 157.015 4 0.2650 \n",
"46080 0.0657 -8.690 0 0.0460 123.992 4 0.8240 \n",
"43376 0.0304 -6.712 1 0.0518 117.997 4 0.7230 \n",
"73918 0.2890 -10.943 0 0.0484 139.989 4 0.2190 \n",
"... ... ... ... ... ... ... ... \n",
"74391 0.1120 -5.158 0 0.0500 168.008 4 0.1610 \n",
"61000 0.3280 -12.815 0 0.0352 92.873 4 0.0285 \n",
"32139 0.1040 -7.059 0 0.0447 113.895 4 0.3630 \n",
"78339 0.1120 -3.366 0 0.0386 161.996 4 0.3020 \n",
"59279 0.1980 -8.480 1 0.0519 104.380 4 0.0368 \n",
"\n",
"[92217 rows x 18 columns]"
],
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>track</th>\n <th>album</th>\n <th>artist</th>\n <th>time</th>\n <th>uri</th>\n <th>acousticness</th>\n <th>danceability</th>\n <th>duration_ms</th>\n <th>energy</th>\n <th>instrumentalness</th>\n <th>key</th>\n <th>liveness</th>\n <th>loudness</th>\n <th>mode</th>\n <th>speechiness</th>\n <th>tempo</th>\n <th>time_signature</th>\n <th>valence</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>34017</th>\n <td>Blackbird - Gorgon City Remix</td>\n <td>Blackbird EP</td>\n <td>Joeski</td>\n <td>2020-12-31 18:35:28+00:00</td>\n <td>spotify:track:3eGyeq8R8PscX1d13c9eJP</td>\n <td>0.000542</td>\n <td>0.803</td>\n <td>389834</td>\n <td>0.857</td>\n <td>0.840</td>\n <td>4</td>\n <td>0.0787</td>\n <td>-7.273</td>\n <td>0</td>\n <td>0.0449</td>\n <td>125.016</td>\n <td>4</td>\n <td>0.2230</td>\n </tr>\n <tr>\n <th>81549</th>\n <td>Lanterns - Dead Man's Chest Remix</td>\n <td>Lanterns / Lanterns (Dead Man's Chest Remix)</td>\n <td>Tim Reaper</td>\n <td>2020-12-31 18:28:13+00:00</td>\n <td>spotify:track:3lc7wN7T29s7uRbPZR0hTH</td>\n <td>0.001530</td>\n <td>0.537</td>\n <td>440255</td>\n <td>0.868</td>\n <td>0.877</td>\n <td>10</td>\n <td>0.5730</td>\n <td>-7.319</td>\n <td>0</td>\n <td>0.0618</td>\n <td>157.015</td>\n <td>4</td>\n <td>0.2650</td>\n </tr>\n <tr>\n <th>46080</th>\n <td>ID Check - Original Mix</td>\n <td>Toolroom Ibiza 2019</td>\n <td>Ben A</td>\n <td>2020-12-31 18:22:07+00:00</td>\n <td>spotify:track:4x94xmQhUnd59k8oGM7AkG</td>\n <td>0.001720</td>\n <td>0.809</td>\n <td>372614</td>\n <td>0.982</td>\n <td>0.911</td>\n <td>6</td>\n <td>0.0657</td>\n <td>-8.690</td>\n <td>0</td>\n <td>0.0460</td>\n <td>123.992</td>\n <td>4</td>\n <td>0.8240</td>\n </tr>\n <tr>\n <th>43376</th>\n <td>Up &amp; Down</td>\n <td>Emotion EP</td>\n <td>Purple Disco Machine</td>\n <td>2020-12-31 17:52:23+00:00</td>\n <td>spotify:track:11DRarpv190YnCAXt85uFA</td>\n <td>0.032000</td>\n <td>0.758</td>\n <td>409961</td>\n <td>0.913</td>\n <td>0.739</td>\n <td>5</td>\n <td>0.0304</td>\n <td>-6.712</td>\n <td>1</td>\n <td>0.0518</td>\n <td>117.997</td>\n <td>4</td>\n <td>0.7230</td>\n </tr>\n <tr>\n <th>73918</th>\n <td>Cuatro</td>\n <td>Tomahawk EP</td>\n <td>Mystic State</td>\n <td>2020-12-31 17:00:28+00:00</td>\n <td>spotify:track:6JBKvAWsMvo68a9pMa9Ujn</td>\n <td>0.040300</td>\n <td>0.621</td>\n <td>342866</td>\n <td>0.680</td>\n <td>0.803</td>\n <td>9</td>\n <td>0.2890</td>\n <td>-10.943</td>\n <td>0</td>\n <td>0.0484</td>\n <td>139.989</td>\n <td>4</td>\n <td>0.2190</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>74391</th>\n <td>Julia</td>\n <td>Void</td>\n <td>RL Grime</td>\n <td>2017-11-03 03:35:27+00:00</td>\n <td>spotify:track:4or82pWT9zvQNIoGckZiYb</td>\n <td>0.003340</td>\n <td>0.573</td>\n <td>301429</td>\n <td>0.932</td>\n <td>0.744</td>\n <td>9</td>\n <td>0.1120</td>\n <td>-5.158</td>\n <td>0</td>\n <td>0.0500</td>\n <td>168.008</td>\n <td>4</td>\n <td>0.1610</td>\n </tr>\n <tr>\n <th>61000</th>\n <td>Site Zero / The Vault</td>\n <td>Void</td>\n <td>RL Grime</td>\n <td>2017-11-03 03:28:51+00:00</td>\n <td>spotify:track:762ME2OHjuGo4xTbfZhpok</td>\n <td>0.683000</td>\n <td>0.289</td>\n <td>464015</td>\n <td>0.404</td>\n <td>0.854</td>\n <td>7</td>\n <td>0.3280</td>\n <td>-12.815</td>\n <td>0</td>\n <td>0.0352</td>\n <td>92.873</td>\n <td>4</td>\n <td>0.0285</td>\n </tr>\n <tr>\n <th>32139</th>\n <td>Reminder (feat. How To Dress Well)</td>\n <td>Void</td>\n <td>RL Grime</td>\n <td>2017-11-03 02:54:37+00:00</td>\n <td>spotify:track:2JUdMBlA5JzuemLGzZNDrf</td>\n <td>0.683000</td>\n <td>0.593</td>\n <td>260075</td>\n <td>0.560</td>\n <td>0.109</td>\n <td>3</td>\n <td>0.1040</td>\n <td>-7.059</td>\n <td>0</td>\n <td>0.0447</td>\n <td>113.895</td>\n <td>4</td>\n <td>0.3630</td>\n </tr>\n <tr>\n <th>78339</th>\n <td>Monsoon</td>\n <td>Void</td>\n <td>RL Grime</td>\n <td>2017-11-03 02:50:23+00:00</td>\n <td>spotify:track:0jYAtTuRsRdHMuvaOXIAj5</td>\n <td>0.034600</td>\n <td>0.546</td>\n <td>254815</td>\n <td>0.850</td>\n <td>0.680</td>\n <td>10</td>\n <td>0.1120</td>\n <td>-3.366</td>\n <td>0</td>\n <td>0.0386</td>\n <td>161.996</td>\n <td>4</td>\n <td>0.3020</td>\n </tr>\n <tr>\n <th>59279</th>\n <td>Let Go (interlude)</td>\n <td>Void</td>\n <td>RL Grime</td>\n <td>2017-11-03 02:43:01+00:00</td>\n <td>spotify:track:39FvWuHBtYQTJNdisJxZIG</td>\n <td>0.181000</td>\n <td>0.361</td>\n <td>153346</td>\n <td>0.727</td>\n <td>0.710</td>\n <td>7</td>\n <td>0.1980</td>\n <td>-8.480</td>\n <td>1</td>\n <td>0.0519</td>\n <td>104.380</td>\n <td>4</td>\n <td>0.0368</td>\n </tr>\n </tbody>\n</table>\n<p>92217 rows × 18 columns</p>\n</div>"
},
"metadata": {},
"execution_count": 15
}
],
"source": [
"scrobbles.sort_values(by=\"time\", ascending=False)"
]
},
{
"source": [
"# Rap\n",
"\n",
"## Descriptor Stats"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"28 days spent listening since Nov. 2017\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" acousticness danceability duration_ms energy instrumentalness \\\n",
"mean 0.179491 0.654732 217263.266814 0.711093 0.007111 \n",
"std 0.182540 0.149069 60534.505476 0.142709 0.047975 \n",
"min 0.000063 0.261000 81967.000000 0.274000 0.000000 \n",
"25% 0.039900 0.546000 180893.000000 0.604000 0.000000 \n",
"50% 0.130000 0.668000 208013.000000 0.720000 0.000000 \n",
"75% 0.253000 0.759000 245200.000000 0.821000 0.000035 \n",
"max 0.864000 0.975000 774920.000000 0.993000 0.847000 \n",
"\n",
" key liveness loudness mode speechiness tempo \\\n",
"mean 5.231103 0.243851 -6.739009 0.653965 0.275643 120.313818 \n",
"std 3.752245 0.167658 2.351719 0.475725 0.128600 31.569949 \n",
"min 0.000000 0.033300 -17.485000 0.000000 0.037800 61.113000 \n",
"25% 1.000000 0.114000 -8.324000 0.000000 0.186000 91.973000 \n",
"50% 6.000000 0.184000 -6.553000 1.000000 0.282000 120.051000 \n",
"75% 8.000000 0.339000 -5.146000 1.000000 0.362000 140.144000 \n",
"max 11.000000 0.979000 -1.354000 1.000000 0.827000 207.982000 \n",
"\n",
" time_signature valence \n",
"mean 4.008950 0.465955 \n",
"std 0.252267 0.222555 \n",
"min 1.000000 0.027200 \n",
"25% 4.000000 0.293000 \n",
"50% 4.000000 0.457000 \n",
"75% 4.000000 0.628000 \n",
"max 5.000000 0.961000 "
],
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>acousticness</th>\n <th>danceability</th>\n <th>duration_ms</th>\n <th>energy</th>\n <th>instrumentalness</th>\n <th>key</th>\n <th>liveness</th>\n <th>loudness</th>\n <th>mode</th>\n <th>speechiness</th>\n <th>tempo</th>\n <th>time_signature</th>\n <th>valence</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>mean</th>\n <td>0.179491</td>\n <td>0.654732</td>\n <td>217263.266814</td>\n <td>0.711093</td>\n <td>0.007111</td>\n <td>5.231103</td>\n <td>0.243851</td>\n <td>-6.739009</td>\n <td>0.653965</td>\n <td>0.275643</td>\n <td>120.313818</td>\n <td>4.008950</td>\n <td>0.465955</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0.182540</td>\n <td>0.149069</td>\n <td>60534.505476</td>\n <td>0.142709</td>\n <td>0.047975</td>\n <td>3.752245</td>\n <td>0.167658</td>\n <td>2.351719</td>\n <td>0.475725</td>\n <td>0.128600</td>\n <td>31.569949</td>\n <td>0.252267</td>\n <td>0.222555</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.000063</td>\n <td>0.261000</td>\n <td>81967.000000</td>\n <td>0.274000</td>\n <td>0.000000</td>\n <td>0.000000</td>\n <td>0.033300</td>\n <td>-17.485000</td>\n <td>0.000000</td>\n <td>0.037800</td>\n <td>61.113000</td>\n <td>1.000000</td>\n <td>0.027200</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0.039900</td>\n <td>0.546000</td>\n <td>180893.000000</td>\n <td>0.604000</td>\n <td>0.000000</td>\n <td>1.000000</td>\n <td>0.114000</td>\n <td>-8.324000</td>\n <td>0.000000</td>\n <td>0.186000</td>\n <td>91.973000</td>\n <td>4.000000</td>\n <td>0.293000</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0.130000</td>\n <td>0.668000</td>\n <td>208013.000000</td>\n <td>0.720000</td>\n <td>0.000000</td>\n <td>6.000000</td>\n <td>0.184000</td>\n <td>-6.553000</td>\n <td>1.000000</td>\n <td>0.282000</td>\n <td>120.051000</td>\n <td>4.000000</td>\n <td>0.457000</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0.253000</td>\n <td>0.759000</td>\n <td>245200.000000</td>\n <td>0.821000</td>\n <td>0.000035</td>\n <td>8.000000</td>\n <td>0.339000</td>\n <td>-5.146000</td>\n <td>1.000000</td>\n <td>0.362000</td>\n <td>140.144000</td>\n <td>4.000000</td>\n <td>0.628000</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0.864000</td>\n <td>0.975000</td>\n <td>774920.000000</td>\n <td>0.993000</td>\n <td>0.847000</td>\n <td>11.000000</td>\n <td>0.979000</td>\n <td>-1.354000</td>\n <td>1.000000</td>\n <td>0.827000</td>\n <td>207.982000</td>\n <td>5.000000</td>\n <td>0.961000</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {},
"execution_count": 10
}
],
"source": [
"rap = get_playlist(\"RAP\", spotnet)\n",
"rap_frame = pd.merge(track_frame(rap.tracks), scrobbles, on=['track', 'artist']) # FILTER SCROBBLES\n",
"rap_frame = rap_frame.sort_values(by=\"time\", ascending=False) # SORT\n",
"rap_frame = rap_frame.loc[:, descriptor_headers] # DESCRIPTORS\n",
"\n",
"total_time = rap_frame[\"duration_ms\"].sum() / (1000 * 60 * 60 * 24)\n",
"print(f'{total_time:.0f} days spent listening since Nov. 2017')\n",
"\n",
"rap_frame.describe()[1:]"
]
},
{
"source": [
"# Playlist Comparisons"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"playlist_names = [\"RAP\", \"EDM\", \"ROCK\", \"METAL\", \"JAZZ\", \"POP\"]\n",
"playlists = [get_playlist(i, spotnet) for i in playlist_names]\n",
"\n",
"filtered_playlists = [pd.merge(track_frame(i.tracks), scrobbles, on=['track', 'artist']) for i in playlists]\n",
"filtered_playlists = [i.drop_duplicates(['uri']) for i in filtered_playlists]\n",
"filtered_playlists = [i.loc[:, float_headers] for i in filtered_playlists]\n",
"\n",
"playlist_mean = [i.mean() for i in filtered_playlists]\n",
"playlist_std = [i.std() for i in filtered_playlists]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1200x800 with 1 Axes>",
"image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"263.63625pt\" version=\"1.1\" viewBox=\"0 0 373.291974 263.63625\" width=\"373.291974pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n <cc:Work>\r\n <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n <dc:date>2021-02-01T01:33:35.149089</dc:date>\r\n <dc:format>image/svg+xml</dc:format>\r\n <dc:creator>\r\n <cc:Agent>\r\n <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\r\n </cc:Agent>\r\n </dc:creator>\r\n </cc:Work>\r\n </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n <g id=\"patch_1\">\r\n <path d=\"M 0 263.63625 \r\nL 373.291974 263.63625 \r\nL 373.291974 0 \r\nL 0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n </g>\r\n <g id=\"axes_1\">\r\n <g id=\"patch_2\">\r\n <path d=\"M 30.103125 239.758125 \r\nL 364.903125 239.758125 \r\nL 364.903125 22.318125 \r\nL 30.103125 22.318125 \r\nz\r\n\" style=\"fill:#ffffff;\"/>\r\n </g>\r\n <g id=\"matplotlib.axis_1\">\r\n <g id=\"xtick_1\">\r\n <g id=\"line2d_1\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 239.758125 \r\nL 45.321307 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_2\">\r\n <defs>\r\n <path d=\"M 0 0 \r\nL 0 3.5 \r\n\" id=\"m030abd94a1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n </defs>\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.321307\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_1\">\r\n <!-- acoust -->\r\n <g transform=\"translate(28.715057 254.356563)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 34.28125 27.484375 \r\nQ 23.390625 27.484375 19.1875 25 \r\nQ 14.984375 22.515625 14.984375 16.5 \r\nQ 14.984375 11.71875 18.140625 8.90625 \r\nQ 21.296875 6.109375 26.703125 6.109375 \r\nQ 34.1875 6.109375 38.703125 11.40625 \r\nQ 43.21875 16.703125 43.21875 25.484375 \r\nL 43.21875 27.484375 \r\nz\r\nM 52.203125 31.203125 \r\nL 52.203125 0 \r\nL 43.21875 0 \r\nL 43.21875 8.296875 \r\nQ 40.140625 3.328125 35.546875 0.953125 \r\nQ 30.953125 -1.421875 24.3125 -1.421875 \r\nQ 15.921875 -1.421875 10.953125 3.296875 \r\nQ 6 8.015625 6 15.921875 \r\nQ 6 25.140625 12.171875 29.828125 \r\nQ 18.359375 34.515625 30.609375 34.515625 \r\nL 43.21875 34.515625 \r\nL 43.21875 35.40625 \r\nQ 43.21875 41.609375 39.140625 45 \r\nQ 35.0625 48.390625 27.6875 48.390625 \r\nQ 23 48.390625 18.546875 47.265625 \r\nQ 14.109375 46.140625 10.015625 43.890625 \r\nL 10.015625 52.203125 \r\nQ 14.9375 54.109375 19.578125 55.046875 \r\nQ 24.21875 56 28.609375 56 \r\nQ 40.484375 56 46.34375 49.84375 \r\nQ 52.203125 43.703125 52.203125 31.203125 \r\nz\r\n\" id=\"DejaVuSans-97\"/>\r\n <path d=\"M 48.78125 52.59375 \r\nL 48.78125 44.1875 \r\nQ 44.96875 46.296875 41.140625 47.34375 \r\nQ 37.3125 48.390625 33.40625 48.390625 \r\nQ 24.65625 48.390625 19.8125 42.84375 \r\nQ 14.984375 37.3125 14.984375 27.296875 \r\nQ 14.984375 17.28125 19.8125 11.734375 \r\nQ 24.65625 6.203125 33.40625 6.203125 \r\nQ 37.3125 6.203125 41.140625 7.25 \r\nQ 44.96875 8.296875 48.78125 10.40625 \r\nL 48.78125 2.09375 \r\nQ 45.015625 0.34375 40.984375 -0.53125 \r\nQ 36.96875 -1.421875 32.421875 -1.421875 \r\nQ 20.0625 -1.421875 12.78125 6.34375 \r\nQ 5.515625 14.109375 5.515625 27.296875 \r\nQ 5.515625 40.671875 12.859375 48.328125 \r\nQ 20.21875 56 33.015625 56 \r\nQ 37.15625 56 41.109375 55.140625 \r\nQ 45.0625 54.296875 48.78125 52.59375 \r\nz\r\n\" id=\"DejaVuSans-99\"/>\r\n <path d=\"M 30.609375 48.390625 \r\nQ 23.390625 48.390625 19.1875 42.75 \r\nQ 14.984375 37.109375 14.984375 27.296875 \r\nQ 14.984375 17.484375 19.15625 11.84375 \r\nQ 23.34375 6.203125 30.609375 6.203125 \r\nQ 37.796875 6.203125 41.984375 11.859375 \r\nQ 46.1875 17.53125 46.1875 27.296875 \r\nQ 46.1875 37.015625 41.984375 42.703125 \r\nQ 37.796875 48.390625 30.609375 48.390625 \r\nz\r\nM 30.609375 56 \r\nQ 42.328125 56 49.015625 48.375 \r\nQ 55.71875 40.765625 55.71875 27.296875 \r\nQ 55.71875 13.875 49.015625 6.21875 \r\nQ 42.328125 -1.421875 30.609375 -1.421875 \r\nQ 18.84375 -1.421875 12.171875 6.21875 \r\nQ 5.515625 13.875 5.515625 27.296875 \r\nQ 5.515625 40.765625 12.171875 48.375 \r\nQ 18.84375 56 30.609375 56 \r\nz\r\n\" id=\"DejaVuSans-111\"/>\r\n <path d=\"M 8.5 21.578125 \r\nL 8.5 54.6875 \r\nL 17.484375 54.6875 \r\nL 17.484375 21.921875 \r\nQ 17.484375 14.15625 20.5 10.265625 \r\nQ 23.53125 6.390625 29.59375 6.390625 \r\nQ 36.859375 6.390625 41.078125 11.03125 \r\nQ 45.3125 15.671875 45.3125 23.6875 \r\nL 45.3125 54.6875 \r\nL 54.296875 54.6875 \r\nL 54.296875 0 \r\nL 45.3125 0 \r\nL 45.3125 8.40625 \r\nQ 42.046875 3.421875 37.71875 1 \r\nQ 33.40625 -1.421875 27.6875 -1.421875 \r\nQ 18.265625 -1.421875 13.375 4.4375 \r\nQ 8.5 10.296875 8.5 21.578125 \r\nz\r\nM 31.109375 56 \r\nz\r\n\" id=\"DejaVuSans-117\"/>\r\n <path d=\"M 44.28125 53.078125 \r\nL 44.28125 44.578125 \r\nQ 40.484375 46.53125 36.375 47.5 \r\nQ 32.28125 48.484375 27.875 48.484375 \r\nQ 21.1875 48.484375 17.84375 46.4375 \r\nQ 14.5 44.390625 14.5 40.28125 \r\nQ 14.5 37.15625 16.890625 35.375 \r\nQ 19.28125 33.59375 26.515625 31.984375 \r\nL 29.59375 31.296875 \r\nQ 39.15625 29.25 43.1875 25.515625 \r\nQ 47.21875 21.78125 47.21875 15.09375 \r\nQ 47.21875 7.46875 41.1875 3.015625 \r\nQ 35.15625 -1.421875 24.609375 -1.421875 \r\nQ 20.21875 -1.421875 15.453125 -0.5625 \r\nQ 10.6875 0.296875 5.421875 2 \r\nL 5.421875 11.28125 \r\nQ 10.40625 8.6875 15.234375 7.390625 \r\nQ 20.0625 6.109375 24.8125 6.109375 \r\nQ 31.15625 6.109375 34.5625 8.28125 \r\nQ 37.984375 10.453125 37.984375 14.40625 \r\nQ 37.984375 18.0625 35.515625 20.015625 \r\nQ 33.0625 21.96875 24.703125 23.78125 \r\nL 21.578125 24.515625 \r\nQ 13.234375 26.265625 9.515625 29.90625 \r\nQ 5.8125 33.546875 5.8125 39.890625 \r\nQ 5.8125 47.609375 11.28125 51.796875 \r\nQ 16.75 56 26.8125 56 \r\nQ 31.78125 56 36.171875 55.265625 \r\nQ 40.578125 54.546875 44.28125 53.078125 \r\nz\r\n\" id=\"DejaVuSans-115\"/>\r\n <path d=\"M 18.3125 70.21875 \r\nL 18.3125 54.6875 \r\nL 36.8125 54.6875 \r\nL 36.8125 47.703125 \r\nL 18.3125 47.703125 \r\nL 18.3125 18.015625 \r\nQ 18.3125 11.328125 20.140625 9.421875 \r\nQ 21.96875 7.515625 27.59375 7.515625 \r\nL 36.8125 7.515625 \r\nL 36.8125 0 \r\nL 27.59375 0 \r\nQ 17.1875 0 13.234375 3.875 \r\nQ 9.28125 7.765625 9.28125 18.015625 \r\nL 9.28125 47.703125 \r\nL 2.6875 47.703125 \r\nL 2.6875 54.6875 \r\nL 9.28125 54.6875 \r\nL 9.28125 70.21875 \r\nz\r\n\" id=\"DejaVuSans-116\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-97\"/>\r\n <use x=\"61.279297\" xlink:href=\"#DejaVuSans-99\"/>\r\n <use x=\"116.259766\" xlink:href=\"#DejaVuSans-111\"/>\r\n <use x=\"177.441406\" xlink:href=\"#DejaVuSans-117\"/>\r\n <use x=\"240.820312\" xlink:href=\"#DejaVuSans-115\"/>\r\n <use x=\"292.919922\" xlink:href=\"#DejaVuSans-116\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"xtick_2\">\r\n <g id=\"line2d_3\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 96.04858 239.758125 \r\nL 96.04858 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_4\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"96.04858\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_2\">\r\n <!-- dancea -->\r\n <g transform=\"translate(77.751705 254.356563)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 45.40625 46.390625 \r\nL 45.40625 75.984375 \r\nL 54.390625 75.984375 \r\nL 54.390625 0 \r\nL 45.40625 0 \r\nL 45.40625 8.203125 \r\nQ 42.578125 3.328125 38.25 0.953125 \r\nQ 33.9375 -1.421875 27.875 -1.421875 \r\nQ 17.96875 -1.421875 11.734375 6.484375 \r\nQ 5.515625 14.40625 5.515625 27.296875 \r\nQ 5.515625 40.1875 11.734375 48.09375 \r\nQ 17.96875 56 27.875 56 \r\nQ 33.9375 56 38.25 53.625 \r\nQ 42.578125 51.265625 45.40625 46.390625 \r\nz\r\nM 14.796875 27.296875 \r\nQ 14.796875 17.390625 18.875 11.75 \r\nQ 22.953125 6.109375 30.078125 6.109375 \r\nQ 37.203125 6.109375 41.296875 11.75 \r\nQ 45.40625 17.390625 45.40625 27.296875 \r\nQ 45.40625 37.203125 41.296875 42.84375 \r\nQ 37.203125 48.484375 30.078125 48.484375 \r\nQ 22.953125 48.484375 18.875 42.84375 \r\nQ 14.796875 37.203125 14.796875 27.296875 \r\nz\r\n\" id=\"DejaVuSans-100\"/>\r\n <path d=\"M 54.890625 33.015625 \r\nL 54.890625 0 \r\nL 45.90625 0 \r\nL 45.90625 32.71875 \r\nQ 45.90625 40.484375 42.875 44.328125 \r\nQ 39.84375 48.1875 33.796875 48.1875 \r\nQ 26.515625 48.1875 22.3125 43.546875 \r\nQ 18.109375 38.921875 18.109375 30.90625 \r\nL 18.109375 0 \r\nL 9.078125 0 \r\nL 9.078125 54.6875 \r\nL 18.109375 54.6875 \r\nL 18.109375 46.1875 \r\nQ 21.34375 51.125 25.703125 53.5625 \r\nQ 30.078125 56 35.796875 56 \r\nQ 45.21875 56 50.046875 50.171875 \r\nQ 54.890625 44.34375 54.890625 33.015625 \r\nz\r\n\" id=\"DejaVuSans-110\"/>\r\n <path d=\"M 56.203125 29.59375 \r\nL 56.203125 25.203125 \r\nL 14.890625 25.203125 \r\nQ 15.484375 15.921875 20.484375 11.0625 \r\nQ 25.484375 6.203125 34.421875 6.203125 \r\nQ 39.59375 6.203125 44.453125 7.46875 \r\nQ 49.3125 8.734375 54.109375 11.28125 \r\nL 54.109375 2.78125 \r\nQ 49.265625 0.734375 44.1875 -0.34375 \r\nQ 39.109375 -1.421875 33.890625 -1.421875 \r\nQ 20.796875 -1.421875 13.15625 6.1875 \r\nQ 5.515625 13.8125 5.515625 26.8125 \r\nQ 5.515625 40.234375 12.765625 48.109375 \r\nQ 20.015625 56 32.328125 56 \r\nQ 43.359375 56 49.78125 48.890625 \r\nQ 56.203125 41.796875 56.203125 29.59375 \r\nz\r\nM 47.21875 32.234375 \r\nQ 47.125 39.59375 43.09375 43.984375 \r\nQ 39.0625 48.390625 32.421875 48.390625 \r\nQ 24.90625 48.390625 20.390625 44.140625 \r\nQ 15.875 39.890625 15.1875 32.171875 \r\nz\r\n\" id=\"DejaVuSans-101\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-100\"/>\r\n <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\r\n <use x=\"124.755859\" xlink:href=\"#DejaVuSans-110\"/>\r\n <use x=\"188.134766\" xlink:href=\"#DejaVuSans-99\"/>\r\n <use x=\"243.115234\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"304.638672\" xlink:href=\"#DejaVuSans-97\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"xtick_3\">\r\n <g id=\"line2d_5\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 146.775852 239.758125 \r\nL 146.775852 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_6\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"146.775852\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_3\">\r\n <!-- energy -->\r\n <g transform=\"translate(129.352415 254.356563)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 41.109375 46.296875 \r\nQ 39.59375 47.171875 37.8125 47.578125 \r\nQ 36.03125 48 33.890625 48 \r\nQ 26.265625 48 22.1875 43.046875 \r\nQ 18.109375 38.09375 18.109375 28.8125 \r\nL 18.109375 0 \r\nL 9.078125 0 \r\nL 9.078125 54.6875 \r\nL 18.109375 54.6875 \r\nL 18.109375 46.1875 \r\nQ 20.953125 51.171875 25.484375 53.578125 \r\nQ 30.03125 56 36.53125 56 \r\nQ 37.453125 56 38.578125 55.875 \r\nQ 39.703125 55.765625 41.0625 55.515625 \r\nz\r\n\" id=\"DejaVuSans-114\"/>\r\n <path d=\"M 45.40625 27.984375 \r\nQ 45.40625 37.75 41.375 43.109375 \r\nQ 37.359375 48.484375 30.078125 48.484375 \r\nQ 22.859375 48.484375 18.828125 43.109375 \r\nQ 14.796875 37.75 14.796875 27.984375 \r\nQ 14.796875 18.265625 18.828125 12.890625 \r\nQ 22.859375 7.515625 30.078125 7.515625 \r\nQ 37.359375 7.515625 41.375 12.890625 \r\nQ 45.40625 18.265625 45.40625 27.984375 \r\nz\r\nM 54.390625 6.78125 \r\nQ 54.390625 -7.171875 48.1875 -13.984375 \r\nQ 42 -20.796875 29.203125 -20.796875 \r\nQ 24.46875 -20.796875 20.265625 -20.09375 \r\nQ 16.0625 -19.390625 12.109375 -17.921875 \r\nL 12.109375 -9.1875 \r\nQ 16.0625 -11.328125 19.921875 -12.34375 \r\nQ 23.78125 -13.375 27.78125 -13.375 \r\nQ 36.625 -13.375 41.015625 -8.765625 \r\nQ 45.40625 -4.15625 45.40625 5.171875 \r\nL 45.40625 9.625 \r\nQ 42.625 4.78125 38.28125 2.390625 \r\nQ 33.9375 0 27.875 0 \r\nQ 17.828125 0 11.671875 7.65625 \r\nQ 5.515625 15.328125 5.515625 27.984375 \r\nQ 5.515625 40.671875 11.671875 48.328125 \r\nQ 17.828125 56 27.875 56 \r\nQ 33.9375 56 38.28125 53.609375 \r\nQ 42.625 51.21875 45.40625 46.390625 \r\nL 45.40625 54.6875 \r\nL 54.390625 54.6875 \r\nz\r\n\" id=\"DejaVuSans-103\"/>\r\n <path d=\"M 32.171875 -5.078125 \r\nQ 28.375 -14.84375 24.75 -17.8125 \r\nQ 21.140625 -20.796875 15.09375 -20.796875 \r\nL 7.90625 -20.796875 \r\nL 7.90625 -13.28125 \r\nL 13.1875 -13.28125 \r\nQ 16.890625 -13.28125 18.9375 -11.515625 \r\nQ 21 -9.765625 23.484375 -3.21875 \r\nL 25.09375 0.875 \r\nL 2.984375 54.6875 \r\nL 12.5 54.6875 \r\nL 29.59375 11.921875 \r\nL 46.6875 54.6875 \r\nL 56.203125 54.6875 \r\nz\r\n\" id=\"DejaVuSans-121\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"61.523438\" xlink:href=\"#DejaVuSans-110\"/>\r\n <use x=\"124.902344\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"186.425781\" xlink:href=\"#DejaVuSans-114\"/>\r\n <use x=\"225.789062\" xlink:href=\"#DejaVuSans-103\"/>\r\n <use x=\"289.265625\" xlink:href=\"#DejaVuSans-121\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"xtick_4\">\r\n <g id=\"line2d_7\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 197.503125 239.758125 \r\nL 197.503125 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_8\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.503125\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_4\">\r\n <!-- instru -->\r\n <g transform=\"translate(183.15625 254.356563)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 9.421875 54.6875 \r\nL 18.40625 54.6875 \r\nL 18.40625 0 \r\nL 9.421875 0 \r\nz\r\nM 9.421875 75.984375 \r\nL 18.40625 75.984375 \r\nL 18.40625 64.59375 \r\nL 9.421875 64.59375 \r\nz\r\n\" id=\"DejaVuSans-105\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-105\"/>\r\n <use x=\"27.783203\" xlink:href=\"#DejaVuSans-110\"/>\r\n <use x=\"91.162109\" xlink:href=\"#DejaVuSans-115\"/>\r\n <use x=\"143.261719\" xlink:href=\"#DejaVuSans-116\"/>\r\n <use x=\"182.470703\" xlink:href=\"#DejaVuSans-114\"/>\r\n <use x=\"223.583984\" xlink:href=\"#DejaVuSans-117\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"xtick_5\">\r\n <g id=\"line2d_9\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 248.230398 239.758125 \r\nL 248.230398 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_10\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"248.230398\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_5\">\r\n <!-- livene -->\r\n <g transform=\"translate(233.171023 254.356563)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 9.421875 75.984375 \r\nL 18.40625 75.984375 \r\nL 18.40625 0 \r\nL 9.421875 0 \r\nz\r\n\" id=\"DejaVuSans-108\"/>\r\n <path d=\"M 2.984375 54.6875 \r\nL 12.5 54.6875 \r\nL 29.59375 8.796875 \r\nL 46.6875 54.6875 \r\nL 56.203125 54.6875 \r\nL 35.6875 0 \r\nL 23.484375 0 \r\nz\r\n\" id=\"DejaVuSans-118\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-108\"/>\r\n <use x=\"27.783203\" xlink:href=\"#DejaVuSans-105\"/>\r\n <use x=\"55.566406\" xlink:href=\"#DejaVuSans-118\"/>\r\n <use x=\"114.746094\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"176.269531\" xlink:href=\"#DejaVuSans-110\"/>\r\n <use x=\"239.648438\" xlink:href=\"#DejaVuSans-101\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"xtick_6\">\r\n <g id=\"line2d_11\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 298.95767 239.758125 \r\nL 298.95767 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_12\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"298.95767\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_6\">\r\n <!-- speech -->\r\n <g transform=\"translate(281.10767 254.356563)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 18.109375 8.203125 \r\nL 18.109375 -20.796875 \r\nL 9.078125 -20.796875 \r\nL 9.078125 54.6875 \r\nL 18.109375 54.6875 \r\nL 18.109375 46.390625 \r\nQ 20.953125 51.265625 25.265625 53.625 \r\nQ 29.59375 56 35.59375 56 \r\nQ 45.5625 56 51.78125 48.09375 \r\nQ 58.015625 40.1875 58.015625 27.296875 \r\nQ 58.015625 14.40625 51.78125 6.484375 \r\nQ 45.5625 -1.421875 35.59375 -1.421875 \r\nQ 29.59375 -1.421875 25.265625 0.953125 \r\nQ 20.953125 3.328125 18.109375 8.203125 \r\nz\r\nM 48.6875 27.296875 \r\nQ 48.6875 37.203125 44.609375 42.84375 \r\nQ 40.53125 48.484375 33.40625 48.484375 \r\nQ 26.265625 48.484375 22.1875 42.84375 \r\nQ 18.109375 37.203125 18.109375 27.296875 \r\nQ 18.109375 17.390625 22.1875 11.75 \r\nQ 26.265625 6.109375 33.40625 6.109375 \r\nQ 40.53125 6.109375 44.609375 11.75 \r\nQ 48.6875 17.390625 48.6875 27.296875 \r\nz\r\n\" id=\"DejaVuSans-112\"/>\r\n <path d=\"M 54.890625 33.015625 \r\nL 54.890625 0 \r\nL 45.90625 0 \r\nL 45.90625 32.71875 \r\nQ 45.90625 40.484375 42.875 44.328125 \r\nQ 39.84375 48.1875 33.796875 48.1875 \r\nQ 26.515625 48.1875 22.3125 43.546875 \r\nQ 18.109375 38.921875 18.109375 30.90625 \r\nL 18.109375 0 \r\nL 9.078125 0 \r\nL 9.078125 75.984375 \r\nL 18.109375 75.984375 \r\nL 18.109375 46.1875 \r\nQ 21.34375 51.125 25.703125 53.5625 \r\nQ 30.078125 56 35.796875 56 \r\nQ 45.21875 56 50.046875 50.171875 \r\nQ 54.890625 44.34375 54.890625 33.015625 \r\nz\r\n\" id=\"DejaVuSans-104\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-115\"/>\r\n <use x=\"52.099609\" xlink:href=\"#DejaVuSans-112\"/>\r\n <use x=\"115.576172\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"177.099609\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"238.623047\" xlink:href=\"#DejaVuSans-99\"/>\r\n <use x=\"293.603516\" xlink:href=\"#DejaVuSans-104\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"xtick_7\">\r\n <g id=\"line2d_13\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 349.684943 239.758125 \r\nL 349.684943 22.318125 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_14\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"349.684943\" xlink:href=\"#m030abd94a1\" y=\"239.758125\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_7\">\r\n <!-- valenc -->\r\n <g transform=\"translate(333.277912 254.356563)scale(0.1 -0.1)\">\r\n <use xlink:href=\"#DejaVuSans-118\"/>\r\n <use x=\"59.179688\" xlink:href=\"#DejaVuSans-97\"/>\r\n <use x=\"120.458984\" xlink:href=\"#DejaVuSans-108\"/>\r\n <use x=\"148.242188\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"209.765625\" xlink:href=\"#DejaVuSans-110\"/>\r\n <use x=\"273.144531\" xlink:href=\"#DejaVuSans-99\"/>\r\n </g>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"matplotlib.axis_2\">\r\n <g id=\"ytick_1\">\r\n <g id=\"line2d_15\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 30.103125 232.202112 \r\nL 364.903125 232.202112 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_16\">\r\n <defs>\r\n <path d=\"M 0 0 \r\nL -3.5 0 \r\n\" id=\"mf51318a370\" style=\"stroke:#000000;stroke-width:0.8;\"/>\r\n </defs>\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf51318a370\" y=\"232.202112\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_8\">\r\n <!-- 0.0 -->\r\n <g transform=\"translate(7.2 236.001331)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 31.78125 66.40625 \r\nQ 24.171875 66.40625 20.328125 58.90625 \r\nQ 16.5 51.421875 16.5 36.375 \r\nQ 16.5 21.390625 20.328125 13.890625 \r\nQ 24.171875 6.390625 31.78125 6.390625 \r\nQ 39.453125 6.390625 43.28125 13.890625 \r\nQ 47.125 21.390625 47.125 36.375 \r\nQ 47.125 51.421875 43.28125 58.90625 \r\nQ 39.453125 66.40625 31.78125 66.40625 \r\nz\r\nM 31.78125 74.21875 \r\nQ 44.046875 74.21875 50.515625 64.515625 \r\nQ 56.984375 54.828125 56.984375 36.375 \r\nQ 56.984375 17.96875 50.515625 8.265625 \r\nQ 44.046875 -1.421875 31.78125 -1.421875 \r\nQ 19.53125 -1.421875 13.0625 8.265625 \r\nQ 6.59375 17.96875 6.59375 36.375 \r\nQ 6.59375 54.828125 13.0625 64.515625 \r\nQ 19.53125 74.21875 31.78125 74.21875 \r\nz\r\n\" id=\"DejaVuSans-48\"/>\r\n <path d=\"M 10.6875 12.40625 \r\nL 21 12.40625 \r\nL 21 0 \r\nL 10.6875 0 \r\nz\r\n\" id=\"DejaVuSans-46\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-48\"/>\r\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"ytick_2\">\r\n <g id=\"line2d_17\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 30.103125 187.256265 \r\nL 364.903125 187.256265 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_18\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf51318a370\" y=\"187.256265\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_9\">\r\n <!-- 0.2 -->\r\n <g transform=\"translate(7.2 191.055484)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 19.1875 8.296875 \r\nL 53.609375 8.296875 \r\nL 53.609375 0 \r\nL 7.328125 0 \r\nL 7.328125 8.296875 \r\nQ 12.9375 14.109375 22.625 23.890625 \r\nQ 32.328125 33.6875 34.8125 36.53125 \r\nQ 39.546875 41.84375 41.421875 45.53125 \r\nQ 43.3125 49.21875 43.3125 52.78125 \r\nQ 43.3125 58.59375 39.234375 62.25 \r\nQ 35.15625 65.921875 28.609375 65.921875 \r\nQ 23.96875 65.921875 18.8125 64.3125 \r\nQ 13.671875 62.703125 7.8125 59.421875 \r\nL 7.8125 69.390625 \r\nQ 13.765625 71.78125 18.9375 73 \r\nQ 24.125 74.21875 28.421875 74.21875 \r\nQ 39.75 74.21875 46.484375 68.546875 \r\nQ 53.21875 62.890625 53.21875 53.421875 \r\nQ 53.21875 48.921875 51.53125 44.890625 \r\nQ 49.859375 40.875 45.40625 35.40625 \r\nQ 44.1875 33.984375 37.640625 27.21875 \r\nQ 31.109375 20.453125 19.1875 8.296875 \r\nz\r\n\" id=\"DejaVuSans-50\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-48\"/>\r\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-50\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"ytick_3\">\r\n <g id=\"line2d_19\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 30.103125 142.310419 \r\nL 364.903125 142.310419 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_20\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf51318a370\" y=\"142.310419\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_10\">\r\n <!-- 0.4 -->\r\n <g transform=\"translate(7.2 146.109637)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 37.796875 64.3125 \r\nL 12.890625 25.390625 \r\nL 37.796875 25.390625 \r\nz\r\nM 35.203125 72.90625 \r\nL 47.609375 72.90625 \r\nL 47.609375 25.390625 \r\nL 58.015625 25.390625 \r\nL 58.015625 17.1875 \r\nL 47.609375 17.1875 \r\nL 47.609375 0 \r\nL 37.796875 0 \r\nL 37.796875 17.1875 \r\nL 4.890625 17.1875 \r\nL 4.890625 26.703125 \r\nz\r\n\" id=\"DejaVuSans-52\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-48\"/>\r\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-52\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"ytick_4\">\r\n <g id=\"line2d_21\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 30.103125 97.364572 \r\nL 364.903125 97.364572 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_22\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf51318a370\" y=\"97.364572\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_11\">\r\n <!-- 0.6 -->\r\n <g transform=\"translate(7.2 101.163791)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 33.015625 40.375 \r\nQ 26.375 40.375 22.484375 35.828125 \r\nQ 18.609375 31.296875 18.609375 23.390625 \r\nQ 18.609375 15.53125 22.484375 10.953125 \r\nQ 26.375 6.390625 33.015625 6.390625 \r\nQ 39.65625 6.390625 43.53125 10.953125 \r\nQ 47.40625 15.53125 47.40625 23.390625 \r\nQ 47.40625 31.296875 43.53125 35.828125 \r\nQ 39.65625 40.375 33.015625 40.375 \r\nz\r\nM 52.59375 71.296875 \r\nL 52.59375 62.3125 \r\nQ 48.875 64.0625 45.09375 64.984375 \r\nQ 41.3125 65.921875 37.59375 65.921875 \r\nQ 27.828125 65.921875 22.671875 59.328125 \r\nQ 17.53125 52.734375 16.796875 39.40625 \r\nQ 19.671875 43.65625 24.015625 45.921875 \r\nQ 28.375 48.1875 33.59375 48.1875 \r\nQ 44.578125 48.1875 50.953125 41.515625 \r\nQ 57.328125 34.859375 57.328125 23.390625 \r\nQ 57.328125 12.15625 50.6875 5.359375 \r\nQ 44.046875 -1.421875 33.015625 -1.421875 \r\nQ 20.359375 -1.421875 13.671875 8.265625 \r\nQ 6.984375 17.96875 6.984375 36.375 \r\nQ 6.984375 53.65625 15.1875 63.9375 \r\nQ 23.390625 74.21875 37.203125 74.21875 \r\nQ 40.921875 74.21875 44.703125 73.484375 \r\nQ 48.484375 72.75 52.59375 71.296875 \r\nz\r\n\" id=\"DejaVuSans-54\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-48\"/>\r\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-54\"/>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"ytick_5\">\r\n <g id=\"line2d_23\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 30.103125 52.418725 \r\nL 364.903125 52.418725 \r\n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"line2d_24\">\r\n <g>\r\n <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf51318a370\" y=\"52.418725\"/>\r\n </g>\r\n </g>\r\n <g id=\"text_12\">\r\n <!-- 0.8 -->\r\n <g transform=\"translate(7.2 56.217944)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 31.78125 34.625 \r\nQ 24.75 34.625 20.71875 30.859375 \r\nQ 16.703125 27.09375 16.703125 20.515625 \r\nQ 16.703125 13.921875 20.71875 10.15625 \r\nQ 24.75 6.390625 31.78125 6.390625 \r\nQ 38.8125 6.390625 42.859375 10.171875 \r\nQ 46.921875 13.96875 46.921875 20.515625 \r\nQ 46.921875 27.09375 42.890625 30.859375 \r\nQ 38.875 34.625 31.78125 34.625 \r\nz\r\nM 21.921875 38.8125 \r\nQ 15.578125 40.375 12.03125 44.71875 \r\nQ 8.5 49.078125 8.5 55.328125 \r\nQ 8.5 64.0625 14.71875 69.140625 \r\nQ 20.953125 74.21875 31.78125 74.21875 \r\nQ 42.671875 74.21875 48.875 69.140625 \r\nQ 55.078125 64.0625 55.078125 55.328125 \r\nQ 55.078125 49.078125 51.53125 44.71875 \r\nQ 48 40.375 41.703125 38.8125 \r\nQ 48.828125 37.15625 52.796875 32.3125 \r\nQ 56.78125 27.484375 56.78125 20.515625 \r\nQ 56.78125 9.90625 50.3125 4.234375 \r\nQ 43.84375 -1.421875 31.78125 -1.421875 \r\nQ 19.734375 -1.421875 13.25 4.234375 \r\nQ 6.78125 9.90625 6.78125 20.515625 \r\nQ 6.78125 27.484375 10.78125 32.3125 \r\nQ 14.796875 37.15625 21.921875 38.8125 \r\nz\r\nM 18.3125 54.390625 \r\nQ 18.3125 48.734375 21.84375 45.5625 \r\nQ 25.390625 42.390625 31.78125 42.390625 \r\nQ 38.140625 42.390625 41.71875 45.5625 \r\nQ 45.3125 48.734375 45.3125 54.390625 \r\nQ 45.3125 60.0625 41.71875 63.234375 \r\nQ 38.140625 66.40625 31.78125 66.40625 \r\nQ 25.390625 66.40625 21.84375 63.234375 \r\nQ 18.3125 60.0625 18.3125 54.390625 \r\nz\r\n\" id=\"DejaVuSans-56\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-48\"/>\r\n <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\r\n <use x=\"95.410156\" xlink:href=\"#DejaVuSans-56\"/>\r\n </g>\r\n </g>\r\n </g>\r\n </g>\r\n <g id=\"line2d_25\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 188.085073 \r\nL 96.04858 83.856895 \r\nL 146.775852 71.19884 \r\nL 197.503125 229.82901 \r\nL 248.230398 179.691734 \r\nL 298.95767 168.701895 \r\nL 349.684943 121.708257 \r\n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_26\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 217.660546 \r\nL 96.04858 86.467739 \r\nL 146.775852 52.990053 \r\nL 197.503125 131.818527 \r\nL 248.230398 187.831859 \r\nL 298.95767 209.688763 \r\nL 349.684943 148.59291 \r\n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_27\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 223.374086 \r\nL 96.04858 134.720243 \r\nL 146.775852 42.455147 \r\nL 197.503125 217.265408 \r\nL 248.230398 183.645586 \r\nL 298.95767 215.989403 \r\nL 349.684943 135.438111 \r\n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_28\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 229.874489 \r\nL 96.04858 166.681035 \r\nL 146.775852 32.201761 \r\nL 197.503125 121.676281 \r\nL 248.230398 173.497698 \r\nL 298.95767 208.353326 \r\nL 349.684943 187.704764 \r\n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_29\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 129.629201 \r\nL 96.04858 120.703485 \r\nL 146.775852 114.009846 \r\nL 197.503125 158.096357 \r\nL 248.230398 193.815478 \r\nL 298.95767 212.442732 \r\nL 349.684943 129.185984 \r\n\" style=\"fill:none;stroke:#9467bd;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_30\">\r\n <path clip-path=\"url(#pc2143600f8)\" d=\"M 45.321307 189.080395 \r\nL 96.04858 92.170315 \r\nL 146.775852 88.375403 \r\nL 197.503125 205.301528 \r\nL 248.230398 197.994152 \r\nL 298.95767 214.693851 \r\nL 349.684943 138.01809 \r\n\" style=\"fill:none;stroke:#8c564b;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"patch_3\">\r\n <path d=\"M 30.103125 239.758125 \r\nL 30.103125 22.318125 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"patch_4\">\r\n <path d=\"M 364.903125 239.758125 \r\nL 364.903125 22.318125 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"patch_5\">\r\n <path d=\"M 30.103125 239.758125 \r\nL 364.903125 239.758125 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"patch_6\">\r\n <path d=\"M 30.103125 22.318125 \r\nL 364.903125 22.318125 \r\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\r\n </g>\r\n <g id=\"text_13\">\r\n <!-- Average Playlist Descriptor -->\r\n <g transform=\"translate(116.556563 16.318125)scale(0.12 -0.12)\">\r\n <defs>\r\n <path d=\"M 34.1875 63.1875 \r\nL 20.796875 26.90625 \r\nL 47.609375 26.90625 \r\nz\r\nM 28.609375 72.90625 \r\nL 39.796875 72.90625 \r\nL 67.578125 0 \r\nL 57.328125 0 \r\nL 50.6875 18.703125 \r\nL 17.828125 18.703125 \r\nL 11.1875 0 \r\nL 0.78125 0 \r\nz\r\n\" id=\"DejaVuSans-65\"/>\r\n <path id=\"DejaVuSans-32\"/>\r\n <path d=\"M 19.671875 64.796875 \r\nL 19.671875 37.40625 \r\nL 32.078125 37.40625 \r\nQ 38.96875 37.40625 42.71875 40.96875 \r\nQ 46.484375 44.53125 46.484375 51.125 \r\nQ 46.484375 57.671875 42.71875 61.234375 \r\nQ 38.96875 64.796875 32.078125 64.796875 \r\nz\r\nM 9.8125 72.90625 \r\nL 32.078125 72.90625 \r\nQ 44.34375 72.90625 50.609375 67.359375 \r\nQ 56.890625 61.8125 56.890625 51.125 \r\nQ 56.890625 40.328125 50.609375 34.8125 \r\nQ 44.34375 29.296875 32.078125 29.296875 \r\nL 19.671875 29.296875 \r\nL 19.671875 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-80\"/>\r\n <path d=\"M 19.671875 64.796875 \r\nL 19.671875 8.109375 \r\nL 31.59375 8.109375 \r\nQ 46.6875 8.109375 53.6875 14.9375 \r\nQ 60.6875 21.78125 60.6875 36.53125 \r\nQ 60.6875 51.171875 53.6875 57.984375 \r\nQ 46.6875 64.796875 31.59375 64.796875 \r\nz\r\nM 9.8125 72.90625 \r\nL 30.078125 72.90625 \r\nQ 51.265625 72.90625 61.171875 64.09375 \r\nQ 71.09375 55.28125 71.09375 36.53125 \r\nQ 71.09375 17.671875 61.125 8.828125 \r\nQ 51.171875 0 30.078125 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-68\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-65\"/>\r\n <use x=\"62.533203\" xlink:href=\"#DejaVuSans-118\"/>\r\n <use x=\"121.712891\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"183.236328\" xlink:href=\"#DejaVuSans-114\"/>\r\n <use x=\"224.349609\" xlink:href=\"#DejaVuSans-97\"/>\r\n <use x=\"285.628906\" xlink:href=\"#DejaVuSans-103\"/>\r\n <use x=\"349.105469\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"410.628906\" xlink:href=\"#DejaVuSans-32\"/>\r\n <use x=\"442.416016\" xlink:href=\"#DejaVuSans-80\"/>\r\n <use x=\"502.71875\" xlink:href=\"#DejaVuSans-108\"/>\r\n <use x=\"530.501953\" xlink:href=\"#DejaVuSans-97\"/>\r\n <use x=\"591.78125\" xlink:href=\"#DejaVuSans-121\"/>\r\n <use x=\"650.960938\" xlink:href=\"#DejaVuSans-108\"/>\r\n <use x=\"678.744141\" xlink:href=\"#DejaVuSans-105\"/>\r\n <use x=\"706.527344\" xlink:href=\"#DejaVuSans-115\"/>\r\n <use x=\"758.626953\" xlink:href=\"#DejaVuSans-116\"/>\r\n <use x=\"797.835938\" xlink:href=\"#DejaVuSans-32\"/>\r\n <use x=\"829.623047\" xlink:href=\"#DejaVuSans-68\"/>\r\n <use x=\"906.625\" xlink:href=\"#DejaVuSans-101\"/>\r\n <use x=\"968.148438\" xlink:href=\"#DejaVuSans-115\"/>\r\n <use x=\"1020.248047\" xlink:href=\"#DejaVuSans-99\"/>\r\n <use x=\"1075.228516\" xlink:href=\"#DejaVuSans-114\"/>\r\n <use x=\"1116.341797\" xlink:href=\"#DejaVuSans-105\"/>\r\n <use x=\"1144.125\" xlink:href=\"#DejaVuSans-112\"/>\r\n <use x=\"1207.601562\" xlink:href=\"#DejaVuSans-116\"/>\r\n <use x=\"1246.810547\" xlink:href=\"#DejaVuSans-111\"/>\r\n <use x=\"1307.992188\" xlink:href=\"#DejaVuSans-114\"/>\r\n </g>\r\n </g>\r\n <g id=\"legend_1\">\r\n <g id=\"patch_7\">\r\n <path d=\"M 293.210938 118.386875 \r\nL 357.903125 118.386875 \r\nQ 359.903125 118.386875 359.903125 116.386875 \r\nL 359.903125 29.318125 \r\nQ 359.903125 27.318125 357.903125 27.318125 \r\nL 293.210938 27.318125 \r\nQ 291.210938 27.318125 291.210938 29.318125 \r\nL 291.210938 116.386875 \r\nQ 291.210938 118.386875 293.210938 118.386875 \r\nz\r\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\r\n </g>\r\n <g id=\"line2d_31\">\r\n <path d=\"M 295.210938 35.416562 \r\nL 315.210938 35.416562 \r\n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_32\"/>\r\n <g id=\"text_14\">\r\n <!-- RAP -->\r\n <g transform=\"translate(323.210938 38.916562)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 44.390625 34.1875 \r\nQ 47.5625 33.109375 50.5625 29.59375 \r\nQ 53.5625 26.078125 56.59375 19.921875 \r\nL 66.609375 0 \r\nL 56 0 \r\nL 46.6875 18.703125 \r\nQ 43.0625 26.03125 39.671875 28.421875 \r\nQ 36.28125 30.8125 30.421875 30.8125 \r\nL 19.671875 30.8125 \r\nL 19.671875 0 \r\nL 9.8125 0 \r\nL 9.8125 72.90625 \r\nL 32.078125 72.90625 \r\nQ 44.578125 72.90625 50.734375 67.671875 \r\nQ 56.890625 62.453125 56.890625 51.90625 \r\nQ 56.890625 45.015625 53.6875 40.46875 \r\nQ 50.484375 35.9375 44.390625 34.1875 \r\nz\r\nM 19.671875 64.796875 \r\nL 19.671875 38.921875 \r\nL 32.078125 38.921875 \r\nQ 39.203125 38.921875 42.84375 42.21875 \r\nQ 46.484375 45.515625 46.484375 51.90625 \r\nQ 46.484375 58.296875 42.84375 61.546875 \r\nQ 39.203125 64.796875 32.078125 64.796875 \r\nz\r\n\" id=\"DejaVuSans-82\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-82\"/>\r\n <use x=\"65.482422\" xlink:href=\"#DejaVuSans-65\"/>\r\n <use x=\"133.890625\" xlink:href=\"#DejaVuSans-80\"/>\r\n </g>\r\n </g>\r\n <g id=\"line2d_33\">\r\n <path d=\"M 295.210938 50.094687 \r\nL 315.210938 50.094687 \r\n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_34\"/>\r\n <g id=\"text_15\">\r\n <!-- EDM -->\r\n <g transform=\"translate(323.210938 53.594687)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 9.8125 72.90625 \r\nL 55.90625 72.90625 \r\nL 55.90625 64.59375 \r\nL 19.671875 64.59375 \r\nL 19.671875 43.015625 \r\nL 54.390625 43.015625 \r\nL 54.390625 34.71875 \r\nL 19.671875 34.71875 \r\nL 19.671875 8.296875 \r\nL 56.78125 8.296875 \r\nL 56.78125 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-69\"/>\r\n <path d=\"M 9.8125 72.90625 \r\nL 24.515625 72.90625 \r\nL 43.109375 23.296875 \r\nL 61.8125 72.90625 \r\nL 76.515625 72.90625 \r\nL 76.515625 0 \r\nL 66.890625 0 \r\nL 66.890625 64.015625 \r\nL 48.09375 14.015625 \r\nL 38.1875 14.015625 \r\nL 19.390625 64.015625 \r\nL 19.390625 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-77\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-69\"/>\r\n <use x=\"63.183594\" xlink:href=\"#DejaVuSans-68\"/>\r\n <use x=\"140.185547\" xlink:href=\"#DejaVuSans-77\"/>\r\n </g>\r\n </g>\r\n <g id=\"line2d_35\">\r\n <path d=\"M 295.210938 64.772812 \r\nL 315.210938 64.772812 \r\n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_36\"/>\r\n <g id=\"text_16\">\r\n <!-- ROCK -->\r\n <g transform=\"translate(323.210938 68.272812)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 39.40625 66.21875 \r\nQ 28.65625 66.21875 22.328125 58.203125 \r\nQ 16.015625 50.203125 16.015625 36.375 \r\nQ 16.015625 22.609375 22.328125 14.59375 \r\nQ 28.65625 6.59375 39.40625 6.59375 \r\nQ 50.140625 6.59375 56.421875 14.59375 \r\nQ 62.703125 22.609375 62.703125 36.375 \r\nQ 62.703125 50.203125 56.421875 58.203125 \r\nQ 50.140625 66.21875 39.40625 66.21875 \r\nz\r\nM 39.40625 74.21875 \r\nQ 54.734375 74.21875 63.90625 63.9375 \r\nQ 73.09375 53.65625 73.09375 36.375 \r\nQ 73.09375 19.140625 63.90625 8.859375 \r\nQ 54.734375 -1.421875 39.40625 -1.421875 \r\nQ 24.03125 -1.421875 14.8125 8.828125 \r\nQ 5.609375 19.09375 5.609375 36.375 \r\nQ 5.609375 53.65625 14.8125 63.9375 \r\nQ 24.03125 74.21875 39.40625 74.21875 \r\nz\r\n\" id=\"DejaVuSans-79\"/>\r\n <path d=\"M 64.40625 67.28125 \r\nL 64.40625 56.890625 \r\nQ 59.421875 61.53125 53.78125 63.8125 \r\nQ 48.140625 66.109375 41.796875 66.109375 \r\nQ 29.296875 66.109375 22.65625 58.46875 \r\nQ 16.015625 50.828125 16.015625 36.375 \r\nQ 16.015625 21.96875 22.65625 14.328125 \r\nQ 29.296875 6.6875 41.796875 6.6875 \r\nQ 48.140625 6.6875 53.78125 8.984375 \r\nQ 59.421875 11.28125 64.40625 15.921875 \r\nL 64.40625 5.609375 \r\nQ 59.234375 2.09375 53.4375 0.328125 \r\nQ 47.65625 -1.421875 41.21875 -1.421875 \r\nQ 24.65625 -1.421875 15.125 8.703125 \r\nQ 5.609375 18.84375 5.609375 36.375 \r\nQ 5.609375 53.953125 15.125 64.078125 \r\nQ 24.65625 74.21875 41.21875 74.21875 \r\nQ 47.75 74.21875 53.53125 72.484375 \r\nQ 59.328125 70.75 64.40625 67.28125 \r\nz\r\n\" id=\"DejaVuSans-67\"/>\r\n <path d=\"M 9.8125 72.90625 \r\nL 19.671875 72.90625 \r\nL 19.671875 42.09375 \r\nL 52.390625 72.90625 \r\nL 65.09375 72.90625 \r\nL 28.90625 38.921875 \r\nL 67.671875 0 \r\nL 54.6875 0 \r\nL 19.671875 35.109375 \r\nL 19.671875 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-75\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-82\"/>\r\n <use x=\"69.482422\" xlink:href=\"#DejaVuSans-79\"/>\r\n <use x=\"148.193359\" xlink:href=\"#DejaVuSans-67\"/>\r\n <use x=\"218.017578\" xlink:href=\"#DejaVuSans-75\"/>\r\n </g>\r\n </g>\r\n <g id=\"line2d_37\">\r\n <path d=\"M 295.210938 79.450938 \r\nL 315.210938 79.450938 \r\n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_38\"/>\r\n <g id=\"text_17\">\r\n <!-- METAL -->\r\n <g transform=\"translate(323.210938 82.950938)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M -0.296875 72.90625 \r\nL 61.375 72.90625 \r\nL 61.375 64.59375 \r\nL 35.5 64.59375 \r\nL 35.5 0 \r\nL 25.59375 0 \r\nL 25.59375 64.59375 \r\nL -0.296875 64.59375 \r\nz\r\n\" id=\"DejaVuSans-84\"/>\r\n <path d=\"M 9.8125 72.90625 \r\nL 19.671875 72.90625 \r\nL 19.671875 8.296875 \r\nL 55.171875 8.296875 \r\nL 55.171875 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-76\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-77\"/>\r\n <use x=\"86.279297\" xlink:href=\"#DejaVuSans-69\"/>\r\n <use x=\"149.462891\" xlink:href=\"#DejaVuSans-84\"/>\r\n <use x=\"202.796875\" xlink:href=\"#DejaVuSans-65\"/>\r\n <use x=\"271.205078\" xlink:href=\"#DejaVuSans-76\"/>\r\n </g>\r\n </g>\r\n <g id=\"line2d_39\">\r\n <path d=\"M 295.210938 94.129063 \r\nL 315.210938 94.129063 \r\n\" style=\"fill:none;stroke:#9467bd;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_40\"/>\r\n <g id=\"text_18\">\r\n <!-- JAZZ -->\r\n <g transform=\"translate(323.210938 97.629063)scale(0.1 -0.1)\">\r\n <defs>\r\n <path d=\"M 9.8125 72.90625 \r\nL 19.671875 72.90625 \r\nL 19.671875 5.078125 \r\nQ 19.671875 -8.109375 14.671875 -14.0625 \r\nQ 9.671875 -20.015625 -1.421875 -20.015625 \r\nL -5.171875 -20.015625 \r\nL -5.171875 -11.71875 \r\nL -2.09375 -11.71875 \r\nQ 4.4375 -11.71875 7.125 -8.046875 \r\nQ 9.8125 -4.390625 9.8125 5.078125 \r\nz\r\n\" id=\"DejaVuSans-74\"/>\r\n <path d=\"M 5.609375 72.90625 \r\nL 62.890625 72.90625 \r\nL 62.890625 65.375 \r\nL 16.796875 8.296875 \r\nL 64.015625 8.296875 \r\nL 64.015625 0 \r\nL 4.5 0 \r\nL 4.5 7.515625 \r\nL 50.59375 64.59375 \r\nL 5.609375 64.59375 \r\nz\r\n\" id=\"DejaVuSans-90\"/>\r\n </defs>\r\n <use xlink:href=\"#DejaVuSans-74\"/>\r\n <use x=\"27.742188\" xlink:href=\"#DejaVuSans-65\"/>\r\n <use x=\"96.150391\" xlink:href=\"#DejaVuSans-90\"/>\r\n <use x=\"164.65625\" xlink:href=\"#DejaVuSans-90\"/>\r\n </g>\r\n </g>\r\n <g id=\"line2d_41\">\r\n <path d=\"M 295.210938 108.807187 \r\nL 315.210938 108.807187 \r\n\" style=\"fill:none;stroke:#8c564b;stroke-linecap:square;stroke-width:1.5;\"/>\r\n </g>\r\n <g id=\"line2d_42\"/>\r\n <g id=\"text_19\">\r\n <!-- POP -->\r\n <g transform=\"translate(323.210938 112.307187)scale(0.1 -0.1)\">\r\n <use xlink:href=\"#DejaVuSans-80\"/>\r\n <use x=\"60.302734\" xlink:href=\"#DejaVuSans-79\"/>\r\n <use x=\"139.013672\" xlink:href=\"#DejaVuSans-80\"/>\r\n </g>\r\n </g>\r\n </g>\r\n </g>\r\n </g>\r\n <defs>\r\n <clipPath id=\"pc2143600f8\">\r\n <rect height=\"217.44\" width=\"334.8\" x=\"30.103125\" y=\"22.318125\"/>\r\n </clipPath>\r\n </defs>\r\n</svg>\r\n",
"image/png": "iVBORw0KGgoAAAANSUhEUgAABA0AAALeCAYAAADBB+hWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd3hUVf7H8feZ9E4NHREURRBRBFHpimKl2LGA664Krr277lp2f6ti722tiNjoFkBRuoBSpElReg0tDVJn7u+PO5nMTSbJJJmEJHxezzMPc88995yTZBLmfuec7zGWZSEiIiIiIiIiUpTrSA9ARERERERERGomBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1ERERqEWNMG2OM5X1sPtLjqShjzCy/r6NvCXUe96vzeLUOUOoMvY5ERCpHQQMRkXIwxnzi9+bTMsY8eKTHJDVbkZv8QI98Y8x+Y8wKY8z/jDHnG2PMkR63hE4ZrwGPMSbDGLPdGLPaGDPVe5N7sTEm+kiPXUREREEDEZEgGWMSgCFFiocfibFInRIGNABOBm4CpgGLjDHHH9FRHWWMMZv9buTbVGfXQDzQAjgJuBh4DJgK7DDGvGiMaVWN45EQ8g8QHemxiIhUVPiRHoCISC1yBRBbpKyDMaabZVm/HIkBSa30MZDhdxwOtAR6AYnesm7AHGNMD8uytlTz+KTqFX0NRAL1gWTgVCDBW94AuAu40Rhzm2VZY6tzkCIiIqCggYhIefjPKsgCYvzKFTSQYD1mWdbmooXemSxPAbd5i5oCbwAXVd/QahbLsh4HHj/Cw6gKAV8DAMYYF3Aa8HdgGBABJAGfGGOaWZb1XLWNso6ow68jEZFqoeUJIiJBMMYci/1JMIAF3Od3+hpjTGT1j0rqEsuyMizL+jvwlV/xhcaYE47UmKT6WZblsSzrV8uyRgBnA1v9Tj9jjDlqg0giInJkKGggIhKcG7DXHgPMBt4B9nqPG2CvQxYJhf8rcnzOERmFHHHeZU/9gXRvkQt4yRgTduRGJSIiRxsFDUREyuDNZH+DX9EYy7Lygc/8ygImRDTGRBhj9vklwzqzHP3O8Lvu/jLqdvMmTFtujNlrjMk1xuw2xsw2xjxojKkfRH/FEsEZY9oZY/7PGLPM267HGLM8wLUdjDF3G2MmGGPWebPB53mv+dU7tpOC/dr92h1gjPnMGLPVGJNtjNlljJlrjLnNGBPnrVPu7dSMMecYY97yZqs/YIzJMcbsNMZMN8b83RgTU3YrVeY34JDfcduKNmSMOcYYM9IYM84Ys8oYk+b9uew3xqw0xrxpjOlRRht3+31/p5ej735+1+02xkRUYPxB/2yNMf2NMe95v65UY+9Kcdi7K8FcY8xL3h0JIv2u8e1qABzj19wmE3ing77l/Roqy7KsP3HObDoOuLKs64xtiDHmI2PMeu/PPtsYs80YM8kYM9wYE9QyVWPMicaY0caYhd6/Z7netlKMMUuMMR942wvm70yYMeZKY8zH3r8VB/1ek4uMMS97fz+L7SBijBnh97P40K+9q40xk40xG40xWd7zg/2uK/N1VELbEd6v63vv6yjH++8kY8ygUr7GviZA8sMSXlOlJt409m4q73t/huner2+LMWaid8xl/l4ZYz7062uEt6yeMeZOY8wcY8wO7++LZYypV1Z7InIUsixLDz300EOPUh7YyxIs7yMLSPSWd/MrzwUal3D9G371Xg+yz2ZAvvcaN9CihHr1saezW2U8DgKXl9HnZr/6bYCbvV9v0baWF7nuiyD6twAP8CIQFsTXHwmMKaO9NcAJ2GuVC8oeL6PdVsBPQYx1B9ArRK+fNkXabhPENTv86r9TSnubS2njWe/3PJifzTggtoR2GgLZfq/FVkF+3Z/4tT86wPlZfuf7ltBGmT9bIA6YHOTXaQF/LeVnU9Yj4Dir4jVQ5PooIMXv+sll1O8MLAvi61kLnFRGW49T+LeorMcnZbTVC1gXZFtPB7h+hN/5D4HmwNwSrh9cztdR0babAfPLGOMUIC5AW33L+boq9nrATor5QxDXrgdOL+P7/qFf/REULnsJ1F69irzG9dBDj7r9UCJEEZGyDfd7PtmyrHQAy7J+McasBU7ETlY2DHg5wPWfACO9z680xtxp2TMVSnM19lZ8AD9ZlrWjaAVjTFPgR6CDX/Fq7E+qM7HfdPbCvumrB3xhjLneCi4D+xXAaO/zndhvntOw36Q3KFK3tffffOwb+Q1AKvYNZjJ2cKUF9vKOu7BvgEaV0f84YKjf8QHsm8wD2Df+fbC/7m+w37iXyRjTAZiJfTMA9hvkpd4xZ3nH2Bs7c31z4HtjzAWWZf0UTPuh4v2EtZ5fUVoFm2qF/T23sG/U1gH7gTzs18SpQDtv3auBRGPMxZZlWf6NWJa13xgzAbgGe4bijcCTZXwN9YDL/Ir+V8GvIRifAJf6Hf+BfcN8APv3sjH2dpZtAlybDrzufX4DhbsWFN3doECx38PqYFlWjjFmKvAXb1FPY4wp+rMCMMb0xt6usWAnjjzsRK0bvM/bAD2BaOyg2wJjzJmWZf0eoK07sbd/LLAPWAjswn5dNcD++9eBwr9XARljrsb+vvp/Mr4e+2eV5h1vR+/D5R1faaKwf/e7Yv/tWQD86S0/rYxryxIBTATOwP47NtfbdgL2354m3nqXAFONMecV+Zu+g8LX1W1+5a8TWLr/gTGmCfbf3HZ+xX8Ci4Ac7K05z/CWHw/8ZIwZaFnW/CC+tuOAl7CTa2YAc7D/xtfH/vsnIlLckY5a6KGHHnrU5Af2DglpFH4Kc1GR84/4nVtaSjt/+tW7OIh+l/jVHxHgvAs7YFBQZxFwaoB60dhv+gs+cc4Eji2hz81+7eVhvzn9G2CK1IsqcvwUdpAhsYR2Dfaba/9PSnuW8rXfhPOTr+cC9JkMfOs9n+1X9/ES2ozDDg4U1PsWaBegXiLOmSE7gaRKvobaFPl62pRR/9Qi9UeV0t7mUtq5H/tTxUal1OmFfTNZ0N51JdTr61dnU9HXRID6o/zqzymhziy/On1LqPN4aT9b4BS/8xnABaWMqS3wD+CSIF7/pf6Mqvo1UEIbNxdpo32AOk2BPX51PgKaBajXBJjgV28FRWYAYe+wtdevzkNARAlja4AdTHqglNe0/6ylpcAZJdRtir0co1hbOGcD5Hn/nRXo+4nf34yyXkcB2s7x/rsEOL5IvTDg0SI/i4dL+bn56pXjZ/2t33WZwNUB6pyO8/+VrZQwSwDnTIOC79trQHyRehGAK5SvfT300KNuPI74APTQQw89avIDe/ZAwZutFCC8yPljcE4BP7mEdp7wqzOujD5P9Kt7GEgIUOd6vzo/AzFltOn/pvnNEupsLvJG+NoQfy/P8Gv78xLqhAHb/eq9VUp7kcDiImN+vIS6//SrM6GsN8ZF3mQ/WMmvu02RMbYpo/6XReqfUEp7m0Pwc2lD4Q3dolLq+U8rP7eMNv2DXjeUUGeWX52+Qbxui/1ssbclLDj/n0p+H/xf/6X+jKr6NVBCG32KtFFs+Qzwnt/5l8toLwx75k1B/auKnO/kd25eJb/+eX5t/UKRm9VytDOiyPdgBWX87QvmdVRC29uBhqW0+W+/upmUHDQtV9AA6FdkHBeVUrcN9qyugrr/KqHeh0XafDeUr2899NCj7j+UCFFEpHTD/Z6Ps4osK7Asawv29M5A9f194vf8UmNMQgn1AK7zez7ZsqxA06Tv8Xt+q2VZWaW0B/A09ptLsLeILOvv/2IruGUMQbMsaxFQMAW6pB0BBmIvEwA7GeBDpbSXizNBXEDeRGF/9x7mYH+/PGVcVjCDBODasvoIBWNMvDHmNeByv+LvLMtaV5X9Wpa1GTvPA0A3Y0xiCVX9lxjcVFJ7xpguFE4PT8MOglQV/7HuLbFW3VB0mYoj6aAxpjGFfzt2Aw+W1phlWW7smRcFir7OQ/K9Ncacgb2GHuzfqeGWZWVWtL0iHgzib19F/cuyrP2lnP8P9jINsGcyXROifm/xez7FsqxvSqro/d39r1/RrYESSBaRDTxQ8eGJyNFIOQ1EREpgjGkBnOtXNKaEqh9jfwoIcK0x5kHvG3Ify7I2GGMWA92BWGCI97pAhvk9/6ToSWNMM6CL93CNZVm/lfZ1ePvPNsb8DFyAvZa1E/andCX5rJRzJTLGtMeeNtvO208UhVtV4i0DaGiMaWVZ1rYiTfT1e/6NZVmppfVnWdYcY8xWCvMqBHI69nIGgJmWZaWU+kXY7e705qvoAHQyxiRZllXR3AJFPWGM8Q8EhWPnUOhN4fcH7Jkt/uuhK8wY0xr7tdceO19CDM6fy7EFVbGn/M8N0MyH2DdKkcAQY0wDy7IOBKjnH1D4tApv6gD8Xz83GGPetSzrcBX2dyQVvdEuGng8F/tnAzDBsqzsINpchB2ci8POc+DP/3vbzxjT3rKs9cEO1s9Av+czLctaU4E2AjkIzAhRW0XlYCd4LZFl55n4DLjbW9QPeDsEfffze/5+EPU/wF4i5sLO13ICdoLLksywLOtgxYcnIkcjBQ1EREp2HYVb0661LOvXEup9hZ3gKhp7Pe752GtSi/oE+8atoO1iQQNjzNkU3sDtBQJtcee/bWOM99PpYPgn1WpF6UGDJUG2CYAx5iLs6bqnluOyRjhvTKAwGAL2DU0wFlN60MD/+9WyHN+vet5/DdCSiickLOqGsquwBHt5yKbKdGTsLT6fxs5dUNYnkAUaBSq0LGuvMWYS9nZ/UdifTL9apL9onJ9YV2UCRLB/zwpuek8D1hpj3sNOkLmsaPCulisaJEgvcuz/Ou9cjtd5gfrGmDjLsg4BWJa1zRizEOiBHcxaYowZg50gcH45gjP+W3r+VGKt8ltehT/flUHOhviZwqBBef72BeQNVCf7FS0o6xrv7+V67GVt4P09KOWScv1tFxEBBQ1ERErjv9SgpFkGWJaVboyZDFzld12goMFnwAvYf3v7G2OaWpa1u0gd/xuuz4ouh/Bq7vf8WCr2aXRZ+6kHPR3Zu+/5YxUYQ6AlGo39nhcNKJRkexnn/b9fnb2P8ipz//lKcGPfAG7HXu/9FTDNsiyr1KvKYIz5C/ZNe7DBggKlLZ15BztoAPaMgleLnB9C4fdqmWVZS8vZd7lY9s4Of6UwK38r7PXrjwOZxphFwGxgqmVZy6tyLNUgqchx0Vke/q/znhSfORCM+thBmAI3YSdcbQLEY+8CMxLIN8Ysx16aNR17BkFJN/BN/J5vrMCYSlKVy1G2VqBe4xJrBc+/jSzLsoL9GjdTGDQIGPTzU9eX8YhIFVBOAxGRAIwx3SjcytACylrf7x9UuNS75ZyD9w1gwcyBMIqsgfWuvb/Sr6ikQEXRm4eKKCtoHNSUcmPMAJwBg5+xs7yfiv3mNdqyLFPwwL6BKxDo/6B4v+fBfpJZ1ieC1fH9Ko9j/b8nlmWFW5bVwLKszpZl3WRZ1nchCBichD1VuiBgsBq4E3umSxPs5HH+P5eP/C4v7b3Bj9gZ2wFOMcZ0LXLef2lCVc8yAMCyrM+wv66J2JnhC8Rj5854ElhmjPnVGNOrOsZURU4sclw04Bjy17l3KcEp2MGhtCL1TsfOrTId2OIN3gTiH4QKVS4DCPJvVAUF+7fHP8BSWrAtWP5//w6VWKty46jK75uI1FEKGoiIBOY/y8AAm40xVkkP4Gu/+tEUzjooyj9HQdHEYwOBht7n6yzL+qWENvzfIE4pcgMa7OPDUr/64N3v9/x94GzLst61LGu5ZVn7LcvKKVK/rDe0/jcVsUGOIa6M8/7fr1cq+P2aFeRYaoq7KLwBnA6cZlnWK5Zl/WJZVkqA9e5B3fB4gxkBEyIaY44F+nsPsyg70BYy3tfbUOyp3YOAZ7EDWP5BhK7Y+9lfUV3jCrEz/J7vtSzrzyLn/V/n91Twdb65aKeWZe2xLOsO7GBTX+ydSL7DuTyiBfCuMeaVAOP2z98RH+B8TVSRvz2BEtaWl//fv7L+rlXlOEREHBQ0EBEpwhgTSeUzYZe0i8JkCt/UdTXG+H966L9rQrEEiH72+D1vWoGxhYQxJozCBJAe7L3Ky/qEvLTcAwD7/J63DHIoZdWrEd+vaua/O8Wjlr3TRGmOKUfbH1B4Mz7MGBPjfX4jhTMbvgph4sigWZaValnWFMuyHrAs6yzs2S43UjiNPAx4w2/MtYI3V8TFfkWBElVW6evcsqwcy7JmW5b1H8uyLsT+3l6AvZ1igdu9s7RKGtex1A5l/Z0q0Mrv+b4SawXPf+lAjDGmrKUGBdqEeBwiIg4KGoiIFHcx0MD7PB87IV8wD/+ZAWd6dxJw8GaSn+BXdC2AdwvGSwqqUfqntP4JArsYY8rziVQoNaIwW3tKWbsSeKfMl/UmeLnf8zNKqlRE9zLO+3+/zgpiS7K6wH99+8rSKhpjkihHngfLsvYAU7yHScBl3i08R/hVey/Y9qqSZVnp3lk1/bEz4oP9GjwzUPXqGlcF3IDzdyfQ7ib+r/OzA5wPKcuy8izLmoa9a8Mqv1OXFKm60O95f2qHTkH+XfV/HVU6f4dlWTuwd00pcFZZ13gDC/7/11RpHhEROTopaCAiUpz/LIHvLMvqEeSjO843zyVlyQ+0ROEy7G3wABZYpWTNtyxrI/C79zAS5zry6uTxex7MJ7cjg6gzy+/5Rd4b2hIZY3pS9qfk84FU7/OWFL+pqYv8fzZlTbX+K3YSwfJ4x+/5TcB5FH7qusGyrNnFLzlyvFP5V/sVNQlQzX/JRnm/H1XGGNMOe7lFgd+B8QGqTscOcoIdHDulqscG9gwEnFsfFv3efuf3/BxjTAdqvmig1GUs3hlp/svQStoZwve68uatKYt/OyOCqD+CwvfzO4F1QVwjIlIuChqIiPgxxjTGnnJboLRlAoH417++hE+1fwR2eJ8fa4w5C2d+gxJ3avDzjN/z/xhjTg52gMaYUE1d3k9hcrQkY0yfkip6t5IMJmgwDfuNL9jrn/9bSpuRwHNlNei9qXnJr+gN79ZmQTHGBLrBrOn8s9RfWlIlY8zxVGzni++BgsBWH+AJv3PVNssg2Onb3qU0zfyKAs2K2e/3POjXR1UyxpyO/fci0VvkBu6yLMtTtK73U+qCvz8G+NgYk1i0Xgn9uLx/+/zL6ntnkATDf5q+43trWdZi7MCd/7hqQ26DJ40xpe2a8giFr5NDwLgS6pX3dfW23/MhxpjzS6pojDkG+If/tZVNoioiEoiCBiIiTsMo/JQxA5hazuvHUTjNuTXQr2gF7xt+/zeY91M4bTcX+CKIfj7BvpkAO4ndPGPMLd4b6WKMMYnGmGuNMbMovk1ehXi/Dv+tJT80xhRbKmCMudJbL4wyMoJb9haTj/sVjTLGPFP06/Le4IzHXsJQNNliIM9T+ElzC+BXY8wVJd0UGWMaGWNuNsYsxZnssbbwf92+EOjGwxhzDvbMjgTKl6m9ICFiQXDAULhEJB/4sJxjrYxnjTFzjDE3BNqxBMAY0xB4l8KgQTqwIEBV/1lCRyxZovcG/nRjzAfYN9v+6+vvtixrRgmXgn0Ducv7vDOw2BhzXil9tTTG3I396XTR5K2DgPXGmPuMMW1KuD7KGPN34HK/4u8CVL2Dwt/T04E5xpiAy4+MMU29fR7J37tc7EDIDO9MDx9jTJgx5mHgX37FT1mW5Z8Y0l+5XleWZf2E83v4VaDknd6dS34A6nmLtgGBElGKiFRaKLeQEhGpC/yXJkzw5iAImmVZW40xc4Hefu39GKDqJ8B93ueD/cq/sSzrYBD9uL03499jb2+YCLwFjDbG/Iw9k8GNve/6CdjbRxb8zQ80tbmi/oM9/hjsZFwLvf2vx146cSaFyc/exV57W+KMBK//ARdh37QAPADc5A14HMBeYtAPewrxRuzkknd76xb7BBbAsqxMY8yl2G+yj8VOFPcFsM8YsxB7+zqDncviJOB4CgPrgX5+Nd1L2MsOGmN/TdO8AZA12EGt04CO3rrTsT8dvr6cfbyPHeDxfy/xtTfnQXUxQC/vw22MWYs9ff8g9muyBfb6fv+g030l/F6PB27xPh/lvSlbinP7vTcD7FpQEU8YY/yz3Edi3/w1xv7ZFJ0hcBAYaVnW56U1alnWTmPMIOwgXSPs3/3pxpgdwGLsRHsR3nOdKDsxYcHSiGeNMVuBFRTOJGgK9KAw/wvAWMuyigVkLMtaaoy5CTugFI79N2uhMWYdsAx7xlIS9u9eJ+zfvZfLGFtV+go4DjsYttb7N/1P7ABbb5yzVubgnPlV1HigIGj3jDHmAuwApn+w8/+K/N2/ETtg1A57xtUXxpgN2HkrcrG/T2dQmHj0EHCNZVmp5fsyRUSCo6CBiIiXd4r/qX5F5V2a4H9dQdDgMmPMbZZlOfYntyzrN2PMKuw3yEWvDYplWfu90/5fwL5BDMe+2ShxOiv2VnhLgu0jiDGsMcZcA3yKvXbeYCfvKprA6x3sTxunB9GmZYy5CvsG42pvcUPsvA/+fgeG4MwdUdKnfViWtdE73fst7E9GDfbN08UlXYOdC6HURII1kWVZKd6bxykUJtA7zfvwNwl7TXS5b9Asy9pljPkaZ9DrfyVUryr+N95h2IGQjqXUvdeyrHcDnbQs63tjzDgKd045g+LJOL/GvnmsrJLynRS1H/gIeMG7/KBMlmX94n2dv0fhLhotsH9XSrIH2FCkLBM7wFRwY9qakncV8GD/Xt1VyrjGGmN2Yb9GCoIVJ3gfgWSWUF4d8rC/X+OxAyP9CDBrDPgGuNo7Q6okH2LvjNMb+3sZqK3XsANDgJ1s1Pu3/VMKZ6Ed730U9QcwzCp5i14RkUpT0EBEpJD/LINdVPwT5q+wlwBEYe+ffTmBp2yPwfkJVSr2m9CgeT8xHWmMeQb7jWl/7E/zG2J/WpeG/Wn8b8BMYFop02grxLKsycaYTsA92AnxWmNPU9+J/WnZh5ZlzQEIduMCbx6Ca7xTtP+KPWMhGfuN9R/Y2eM/sCzrkDHG/5PO1DLaPQBc6R3vNdj7zh+L/f3yeK//A/sT5h+A7y3Lyg7YWA1nWdbPxpiO2DdylwBtvad2YQeOPrEsayoE/3MJYAKFQYPt2Dkpqo1lWbcbY97AzuDfAztg0Br7E+F87Jvu1diJ+saUtcMHdm6Rr7FfG12wAy7RVTJ4p0PYv6sFv6+/Ys8MmOn9XSgXy7K2AOcaY87EnhLfG3u6fX0Kvy8bvP3MAGYVvfG1LOsrY0wz7N/ps4FTsF9D9bxV0rBnFM0DPrYsa00Q4/rRGHMCdjDwYuylCsnYfyvTsH/3fgYmWpYVaFvJauOdtdEH++/qtcCJ2K+H/dg75XxgWdakINrJM8aci50w9DLsQHEDnLNfAl23Bztx5EDspSM9sWd3RGDP9liGHfT7xLKsvJLaEREJBaN8KSIiUpsZY+ZTOLOhh2VZi0qrL6HjDeqM8B7+x7Ksfx7B4YhUmDFmBPCB9/Ajy7JGHLnRiIjULEqEKCIitZY3e3jBFPJc7BkVUg2MMQkUJnbzYOc4EBERkTpGQQMREamVvNtZvoy9lh3sKc21cilBLXUT9vIbgOmWZW0qrbKIiIjUTgoaiIhIjWOMedIYc6cxplEJ59sAEyncYcENPFdNwzvqeb//j/oVvXiEhiIiIiJVTIkQRUSkJmoN/BN4zhizEliLnSgtHjsh2akUzjAAez39r9U+yqOIMeYl79Pm2FtixnqPf7Qs6/sjMigRERGpcgoaiIhITVawp/upJZzPAv5lWZZmGVS9OwOUpWDvbiEiIiJ1lIIGIiJSE90F/IS9hWRHoDH2dmdhwAFgHfYWku9ZlrXrCI3xaOUG9mBvr/i4ZVnbjvB4REREpAppy0URERERERERCUiJEEVEREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkIAUNRERERERERCQgBQ1EREREREREJCAFDUREREREREQkoPAjPYC6whgTBZzsPdwLuI/gcERERERERKTuCwMae5+vtCwrJ9QdKGgQOicDvxzpQYiIiIiIiMhRqRvwa6gb1fIEEREREREREQlIMw1CZ2/Bk8WLF9OsWbMjOZYSZWVlMWfOHAB69+5NTEzMER6R1HR6zUh56TUj5aXXjJSXXjNSXnrNSHnVltfMrl276N69e8Hh3tLqVpSCBqHjy2HQrFkzWrZseSTHUqKsrCwaNWoEQMuWLWvsi19qDr1mpLz0mpHy0mtGykuvGSkvvWakvGrpa6ZK8uppeYKIiIiIiIiIBKSggYiIiIiIiIgEpKCBiIiIiIiIiASkoIGIiIiIiIiIBKSggYiIiIiIiIgEpKCBiIiIiIiIiASkoIGIiIiIiIiIBKSggYiIiIiIiIgEpKCBiIiIiIiIiAQUfqQHICIiIiIiEojH4yEzM5P09HRyc3Nxu90Vbqdhw4YAbN26FZdLn51K6arjNRMWFkZkZCSJiYnEx8fX2NelggYiIiIiIlLjZGRksGPHDizLqnRblmURExMDgNvtxuPxVLpNqduq4zWTn59PTk4OGRkZGGNo0aIFCQkJIe+nshQ0EBERERGRGiVQwMAYQ1hYWIXbNMYAEB6uWyAJTlW/Ztxut+81blkWO3bsqJGBA/3GiIiIiIhIjeHxeBwBg/j4eBo0aEBsbKzvJq4ibaanpwOQmJhYY6eBS81RHa8Zy7I4fPgwBw4cIDMz0xc4aN++fY16jdackYiIiIiIyFGv4OYJ7IBBy5YtiYuLq3DAQKSmMsYQFxdHy5YtiY+PB+xAQmZm5hEemZOCBiIiIiIiUmMUfLoL0KBBAwULpM4zxtCgQQPfsf/vQE2goIGIiIiIiNQYubm5gH0jFRsbe4RHI1I9/JffFPwO1BQKGoiIiIiISI1RsK1iWFiYZhnIUcM/0WdFtxatKgoaiIiIiIiIiEhAChqIiIiIiIiISEAKGoiIiIiIiIhIQAoaiIiIiIiIiEhAChqIiEjoud3g3WNbRERERGqv8CM9ABERqVvSv/iSdi+8gBURQVZSPWL69T3SQxIRERGRCtJMAxERCZncbds4MHo0YTk5hGdmknL//eQfOHCkhyUiIiKlmDVrFsaYgI/Y2FhatWrFxRdfzPvvv09OTk7Q7W7evBmXy+Vr69NPPw36upLGEx0dTYsWLbjgggt4++23OXz4cEW/bAmSggYiIhIyaRMn2UsTvKzMTPa99tqRG5CIiIhUSlZWFtu3b+ebb77hpptuomvXrmzevDmoaz/++GMsv+WKH3/8caXHk5OTw86dO5k2bRq33norXbp04ffff690u1IyBQ1ERCQkLI+HtEmTipUf/PwLcv74o/oHJCIiIuU2cuRIVq5c6XvMnDmTl19+mZYtWwKwevVqLr30Utx+HxKUZMyYMQDEx8cD8MMPP7Br165yjWfQoEGO8SxevJj33nuPk08+GYANGzZwwQUXaMZBFVLQQEREQuLw4sXk7dxZ/ITbzZ5nRlf/gERERKTckpOT6dSpk+/Rv39/7rjjDtasWUObNm0AWLlyJRMnTiy1nQULFvCH90ODF198kbCwMNxuN2PHji3XeOrVq+cYT7du3fjLX/7CL7/8wllnnQXAli1beO+998r/xUpQFDQQEZGQSJ0wocRzh+bOJXPu3GocjYiIiIRSQkICjz76qO/4hx9+KLV+wVKERo0aMXz4cM455xygcPZBZUVFRfHvf//bdzxt2rSQtCvFKWggIiKV5s7MJGPG96XW2fP0M1j5+dU0IhEREQm1giUBANu2bSuxXk5ODl988QUAV155JREREVx//fUArFixguXLl4dkPN27d/c937JlS0jalOIUNBARkUpL/+47rOxs37HlcrH3ggscdXL//JODn39e3UMTERGREImMjPQ9j4iIKLHe1KlTOXjwIADXXXcdAEOGDCEuLg4ITULEomMIJseCVIyCBiIiUmlpE5zrGg+deCIHe/ci8sQTHeX7Xn0Nd1padQ5NREREQsR/l4KC/AaBFAQF2rVrx5lnnglAXFwcgwcPBuDTTz8NyU3+ypUrfc+bN29e6fYksPAjPQAREandcjZtImvZMkdZ2uldweWiwb33svtvf/OVu1NT2ffmWzR56MHqHqaIiNQhHo/FwcO55ajvIeNwHgB5rhxcrtr32Wn92EhcLnPE+ne73Tz77LO+48svvzxgvb179/ryC1x77bWOc9dddx1jx45lz549TJ8+nQsvvLBSY3rmmWd8z/v27VuptqRkChqIiEilpE2c5Dh21a/PIe8Mg+jTu5IwYAAZ3xfmOzgwdiz1r76KyFI+oRARESnNwcO5dP1P6Yn46polj55Lw/ioau937969rFy5kn/9618s835IcPnll9OzZ8+A9ceNG0denh2gKViaUGDAgAE0bdqU3bt38/HHH1coaJCdnc3KlSt55plnGD9+PACJiYnccsst5W5LglP7QmwiIlJjWG43aZMnO8riL7wQwsJ8x8n334fxX/eYl8ee556rriGKiIhIOTzxxBMYY3yP5ORkzjnnHObPn09sbCz33HMPn376aYnXFyxN6N69O8cff7zjXFhYGFdffTUAU6ZMIT09vczxfPTRR47xxMTE0L17d1/AID4+ni+//JLk5OSKfslSBgUNRESkwg4t+Jn8PXscZfGXXuI4jmzdmvrejMkFMn+YyaGFi6p8fCIiIhI6Xbp04Y477igxCeLq1atZsmQJUHyWQYGC8qysLL788ssKj6V58+aMHDmSFStWcN5551W4HSmbggYiIlJhaROdCRCjTzqJyPbti9VrNPJWwurXd5TteeYZLGU6FhERqVFGjhzJypUrWblyJcuWLWPq1KkMHz4cl8vFggUL6Nu3L3v37g14bcEsg/DwcN+MgqK6du1Khw4dHPVLM2jQIN94Vq5cyfr169m3bx87duzgjTfe4Nhjj63gVyrBUk4DERGpEHdaGhk/ONeTJg0dGrBuWEICje+4nd1PPOkry/n9d9ImTqReCYmURERESlI/NpIlj54bdH2Px0NGZiYACfHxtTYRYnVITk6mU6dOvuMuXbpw8cUX069fP0aMGMHmzZv561//yuQiyxM9Hg9jx44FID8/P6jlAnPnzmXz5s2l7sRQr149x3ik+iloICIiFZL+7bdYuYWZq01EBIkXXUheCfXrXXEFBz/9lJwNf/jKUl56mYSBFxAWH1fFoxURkbrE5TLlSgro8XiI8OQAkBgfVSuDBkfa8OHDmTp1KuPHj2fKlCn8+OOP9O/f33d+5syZ7Nixo1xtWpbFmDFj+Oc//xnq4UoIKWggIiIVklpk14T4/v0Jr1+fvKysgPVNeDjJDz7Etr/+1Vfm3reP/e++S/Ldd1XhSEVERCQU/vvf/zJp0iTcbjePPPIICxcu9J0rWGoQFRXF+++/X2ZgZvTo0SxbtkxBg1pAQQMRESm3nD/+IHvFCkdZ0pDBZV4X3/Ns4vr05tDsOb6yAx98QP0rryCiRYtQD1NERERCqH379lx55ZWMGzeORYsW8f333zNgwAAyMzOZ6M1zNGDAAIYNG1ZmW7t372bZsmVs2LCBn3/+mTPPPLOqhy8VpHk5IiJSbqlFEiCGNW5EfAn7NRfV5IEHHFsyWrm5pDz/QkjHJyIiIlXjkUcewRgDwH/+8x8Axo8fz6FDhwC4PMhcRZdddpmvnWASIsqRo6CBiIiUi5WfT9qUKY6ypEsvxYQHN3ktql076hfJqJz+7bccXrYsZGMUERGRqtGpUycuvfRSAObMmcO8efN8N/0RERG+c2Vp1aoV3bp1A+Dzzz8n1y9PktQsChqIiEi5ZM6bh3vvPkdZvSFDytVGo7/fhisx0VG25+mnsTyeSo9PREREqtY//vEP3/PHHnuMWbNmAdC/f3/qF9liuTQFsxIOHjzI1KlTQzpGCR0FDUREpFzSJjiXJkR37kzUcceVq43w+vVpNGqkoyz7txWkf/NNpccnIiIiVatbt24MGDAAgB9//BGPN+h/2WWXlasd//paolBzKRGiiIgELf/gQTJ++slRVm9o+WYZFGgwbBip4z4jd8sWX1nK8y+QcO65uGJiKjVOERERCV7fvn2xLKtc18yYMaPS/bZt2zZgv23atCn3eKTqaKaBiIgELf3rbyAvz3dsIiNJvPDCCrVlIiNJfvABR1n+7t3s/+CDSo1RREREREJHQQMREQla6sQJjuOEc88lrEhugvKI79eP2B49HGX73/0feXtSKtymiIiIiISOggYiIhKU7LVryVnzu6MsaejQSrVpjKHJQw+Cd8slACsri70vvVSpdkVEREQkNBQ0EBGRoKRNdCZADG/alLgze5RQO3jRJ55IvcudiZPSJk0ia/XqSrctIiIiIpWjoIGIiJTJys0lbYpzK6SkQYMwYWEhab/xHXfgio3169Ai5amnlQRJRERE5AhT0EBERMqUOWcO7oMHHWVJgwcFrHsg+wBzs+eyMGchWflZQbUf3rgxDW+5xVF2+NdfyZjxfcUGLCIiIiIhoaCBiIiUKXWCc2lCzGmnEXXsscXqZeVnMXLWSKZnT+frrK956tengu6jwYjhRDRv7ihLee45PLm5FRu0iIiIiFSaggYiIlKq/H37yJw921FWb+iQgHXH/j6WTembfMfTtk5jX9a+oPpxRUWRfN+9jrK8bds4OGZMOUcsIiIiIqGioIGIiJQqberX4Hb7jk10NAkDBxardyD7AP9b+b9i5fN3zA+6r4QLLiDm1FMdZfvefIv8/fvLMWIRERERCRUFDUREpESWZZE2YYKjLPH88wiLjy9W963f3uJQ3qFi5XN3zA26P2MMTR552FHmycxk76uvBt2GiIiIiISOggYiIlKi7NVryNmwwVGWNKT40oTNaZv5ct2XAdtYsGMB+Z78oPuMOflkEi+9xFGW+sWXZK9fH3QbIiIiIhIaChqIiEiJ0iY6EyBGNG9ObPfuxeq9suwV8q3AgYGMvAyWpywvV7/J99yDiY4uLPB4SHlmtLZgFBEREalmChqIiEhAntxc0r/+2lGWNHgwxuX8r2N5ynK+31L61ojlWaIAENG0KQ3/8hdH2aH58zk0Z0652hERERGRylHQQEREAsr88SfcaWmOsqQiuyZYlsVzvz7nKEuMTOSMyDMcZeUNGgA0/OtNhCcnO8r2PP0MVl5eudsSERERkYpR0EBERAJKnehMgBjbvTuRLVs6yn7Y+gO/7f3NUXbTSTdxSuQpjrINBzew+9DucvXvio2l8d13O8pyN23i4Gefl6sdEREREak4BQ1ERKSYvD0pHJo7z1FWNAFiniePl5a85ChrGd+Sy9tdTsuwlsSYGMe5OdvLv7QgadClRHfs6Cjb99prxWZAiIiIiEjVUNBARESKSZ86BTwe37ErNpbE889z1Ply3ZdszdjqKLuz651EhEXgMi6ODz/eca4iSxSMy0WThx9ylLnT0tj3xhvlbktEREREyk9BAxERcbAsi9QJzl0TEgYOxBUb6zvOyM3grd/ectQ5udHJnH/M+b7j9hHtHecX7VpErju33OOJPf10Es4/31F2YOyn5GzaVO62RERERKR8FDQQERGH7BUryN240VFWr0gCxPdXvc/BnIOOsntPvxdjjO/4+PDjMRQeZ+Vn8evuXys0puT77sVERBQW5OeT8uxzJV8gIiIiIiGhoIGIiDgUnWUQ0bo1MV27+o53H9rNmDVjHHX6tepH1yZdHWVxrjg6NnTmI6jIEgWAyFataDD8BkdZ5o8/cujnnyvUnoiIiIgER0EDERHx8WRnk/7tt46yekMGO2YQvLbsNXLcOb7jMBPG3V2duxwUOLvp2Y7jigYNABreeithDRo4yvY8/QyW213hNkVERARmzZqFMaZcj7vuusvRxogRIwLWi46OpkmTJpxwwgkMGTKE//u//2Pp0qUVGldCQgKHDx8u87qsrCySkpIc186aNasC3xkBBQ1ERMRPxg8z8WRkFBYYQ9KgQb7DdQfWMeXPKY5rLm9/OccmHRuwvbObO4MGW9K3sCV9S4XGFhYfT+M77nCU5axbR+r48RVqT0RERKpeTk4OKSkprF+/nkmTJvHoo4/StWtXunfvzk8//VSutjIzM5k0aVKZ9SZPnkx6enoFRyxFhR/pAYiISM2RNmGC4zjuzB5ENG/uO35hyQtYWL7j2PBYbj3l1hLba1+vPY1iGrEva5+vbO72uRxz0jEVGl+9yy/j4KefkrN+va9s78uvkHjhhYTFx1eoTRERESk0cuRIRo0aVWa9Ro0alXhu+vTpNPe+f/B4PKSmprJnzx4WLlzIpEmT2LhxI7/88gvnnnsujz76KE888USZ/UVHR5Odnc2YMWMYNmxYqXXHjBnjuEYqRzMNREQEgLxdu4rlCEgaMtT3fMGOBSzYucBx/sZON9IopuQ3DS7jomeLno6yyixRMOHhNHnoQUeZe/9+9r/9ToXbFBERkULJycl06tSpzEfTpk1LbKN9+/a+ep07d6Z3795cccUVPP/882zYsIH333+f2NhYPB4PTz75JG8EsZXypZdeCsD333/P7t27S6yXkpLCjBkzABjkN1tSKk5BAxERASBt8mSwCmcRuOLjSTj3HADcHjcvLHnBUb9xTGNuOMmZnDCQ3i17O45/2f0Lh/PKXo9YkrizziK+b19H2YGPPiJ3+44KtykiIiLVw+VyceONNzJ9+nTCw+2J7/fccw+7du0q9brzzjuPpk2b4na7GTduXIn1xo0bR35+Pk2bNmXAgAEhHfvRqtqCBsaYY4wxzxtj1hpjDhljDhhjfjHG3G+MiS27haD6aGOMecYYs8QYk2qMyfP2s8AY8y9jTHIo+hERqWssyyJ1onPXhMQLL8QVEwPA1xu/Zt3BdY7zfz/178RGlP3nu0ezHoSbwtVweZ48Fu1aVKnxJj/wAIQXtmnl5pLyvLZgFBERqS169uzJ3XfbiZRzcnJ48cUXS60fFhbGNddcAxQuPwjk448/BmDYsGGEhYWFaLRHt2oJGhhjLgFWAPcAJwCxQH3gdGA0sMwYc1wl+7geWAM8AJwGJGHnbKgPnAk8AfxujFG4SUSkiKylS8nbstVRljRkMADZ+dm8uuxVx7nj6h3HoHbBTflLiEzg1CanOsoqs0QBIKrtsdT3vnEokPHdNA4HmY1ZREREjrw77rgDl8u+JQ0mweH1118PwLJly1i9enWx82vWrPHtzFBQVyqvyoMGxphTgc+BRCAT+AdwFnAO8K63WnvgG2NMQgX7OBv4EIgBPMAHwGCgO3A5MNVbtQEw2RjTtiL9iIjUVUVnGUQeeywxXboA8Mnvn7Dn8B7H+bu73k2YK/jofa8WvRzHc3fMxfJbClERjW8bhSspyVG2579PYXk8lWpXREREqkfLli058cQTAdiwYUOpuQoATj31VDp27AgEnm1QUNapUye6eN/HSOVVx+4JL2PfzOcD51mW5Z9l60djzAbs2QbtgXuBxyvQx8MUBkButyzLP5PGL8B4Y8zz2DMdYrz//r0C/YiI1Dmew4fJ+PY7R1nSkCEYYziQfYD3Vr7nOHdG0zOKBQHK0rtlb0dOhN2HdrMhdQPt67ev8LjD6tWj8W2j2PPfp3xl2atWkT51qmObSBERqYM8Hsg6UK765rB3S+GwXHDVwtRuMQ2qZdwpKSmsWrWqzHonnHACERERle7vtNNOY82aNYAdOCgtwSLADTfcwIMPPsinn37KU089hTEGsJdajh071ldHQqdKgwbGmO5AwTvL94oEDAo8D9wIdADuNMb8n2VZeeXs6izvv/uLBAz8PYkdLAB7uYKIiADpM2bgOeyXmNDl8t10v/3b22TmZTrq33P6Pb7/oIPVNqktzeOas/PQTl/Z3O1zKxU0AKh/zTUcHPcZuZs2+cpSXniRhAEDcMWGJF2OiIjURFkH4Nl2QVd3Ya9drtXu/xPiSt6xKFTefPNN3nzzzTLrbdq0iTZt2lS6v4YNG/qeHzx4sMz61157LQ8//DDbtm1j1qxZ9OvXD4BZs2axbds2XC5XmVsySvlUdahqsN/zDwJVsCzLA3zsPawH9KtAP5HefzeVVMGyrDSgYKPwyJLqiYgcbdImTnIcx/U8m4gmyWxJ38IX675wnLuo7UWc1PCkcvdhjKFXy+JLFCrLRESQ/MD9jrL8PXvY/37A/3JERESkhomPj/c9z8jIKLN+ixYtfIEC/yUKBc/79+9PixYtQjzKo1tVBw0KNuc+BCwppd5sv+dnV6CfgpTex5ZUwRiTCBSE5taVVE9E5GiSu307hxc5dzKoN2QIAC8vfZl8K99XHumK5I5T76hwX0W3Xlyespz03PQKt1cgvm9f4s5yTiDb/9575O3ZU8IVIiIiUpLHHnsMy7LKfIRilgE4AwWJiYlBXVOw/GD8+PFkZWWRlZXFV1995TgnoVPVQYMO3n//sCy/d57FrQ1wTXm85f23oTHm1hLq/DNAfRGRo1rapMmOY1dSEvH9+7M8ZTnfb/nece7aDtfSPL55hfvq1rQbka7CiV5uy82CnQsq3F4BYwzJDz7kWOdpZWWx94XSt24SERGRI2/fvn2+5w0aNAjqmqFDhxIbG0t6ejqTJ09m0qRJZGRkEBcXx9ChQ6tqqEetKstpYIyJpvCT/e2l1bUs66Ax5hAQB7SqQHfvY89quAF43RjTFZgC7AJaA9dTuFTi/yzL+qG8HRhjWpZRxZexoyDaVRNlZ2cHfC5SEr1m6i7L4yF1wgRHWdz555HtdvPs4mcd5YmRiVx3/HVB/W0r7TXTNbkrP+8uTG8za8ss+jTpU5HhO7VuRfyQwWSOL/x60iZPJvaKK4jqWP7lFFK99HdGykuvmbrN4/H4dtjxlLQjTnQ9uHdDudo8dOgQAHFxcb5t/mqV6Hp2Asgq4P99tiyr5O97Kfx3RfJ4PEG3sWzZMt/z4447znFd0ecFx7GxsQwePJhPP/2Ujz/+2Nf34MGDiYmJ8dUr6fpglDSOqlbw/Q/2frI67jurMhGi//aJmSXWKlQQNIgvq2JRlmW5geHGmKnAI8BfvQ9/PwH/rUjAwGtbsBXnzJlDo0ZVn6SksubMmXOkhyC1jF4zdUvMn3/SaudOR9mqJk1Y+s1LrDi8wlF+tutsfp4VKJdtAJaH+oc3ku+KLvaaaZjT0HE8a8sszjh4Bi5T+TdvYR060CYqirCcHF/Zxkf/wbZbb4VyJm6UI0d/Z6S89Jqpexo2bEhMTAzGGNLTS1vGVs40ZbHRAGRagLvCwztyMoK5paqYw34JkXNycsr4vgeWl1eYyz4zMzOoNrZv3866dfbK8eOPP56oqCjHdf7jys7Odpy77LLL+PTTT/n+++8dZf51/IOKhw8frtDXVfD1VIf8/HzfB9Br164t+wKcMzWqSlWG2KL9nucGUb/gXV5MRTozxnTAnmlwcglVzgRuMsYoK4aICJD4qzPVTE6TJhxu3pQZ2TMc5fVd9Tkj6ozg2szaSp91j9N7/ZP0X/sI7XdNcpxvH+7cLeGQdYidbmfgoqLcCQkc6O/MpRuzeQvxK1eGpH0REREJrbffftv3Kf5FF11Urmv79OlD06ZNyc/PJz8/n2bNmtGnTwhmL0oxVTnTwH+uWDBhwCjvv+WeX2GM6QVMxd5JZQvwKPA9cABoAlwK/Bu4GuhtjDnPsqzV5eymrGUTTYFfAHr37k3LlmWtZjgysrOzfRH53r17Ex0dXcYVcrTTa6Zu8hw6xLbHHsfyK2s6bBgr2h1i/7L9jrr3db+PAa0HlN6gO5fwn18h/LeXMZ7CTxo67J5A23NG4GnZ3Vc2/rvxbMnYUnjpMW7O63hepb6eAp4+fdi5YiX5O3b4ylr/NIvmt9+OKyqqlCvlSNLfGSkvvWbqtq1bt+J2uwkPDw86MV5ZPB6P79Pi+Pj42rk8oQrF+m1THBUVVaHve0REhO95fHx8mW3MmzePt96yU81FR0fzwAMPFLvGf1zR0dHFzl9//fW88sorvuf16tVznPf/2xAbG1uur+tIvGb27t1LTEwM8fHxdO3aNahrtm8vNRNASFRl0MB/v4xglhzEef8t19wPY0wUMA47YLAb6GFZ1m6/KtuBN4wxs4FfgebAR8Dp5enHsqxSfxr+e5bHxMQQE1OhCRPVKjo6ulaMU2oOvWbqjtRvv8XyXwccFkbMpefz3hxnxuFODTtxSftLHH/jitm5HCbfBntWBTwdNf0+uGUuRNj/cfdu1Zsxawq3SFq4ZyF3nF7xXRkcYmJocv/97LjrLl9R/s6dZH35JY3+9rfQ9CFVSn9npLz0mql7XC6X79PnqrhRc7lcChoU4f/9MMZU6Pvj/16htO+xx+Ph448/5rbbbiM/386V//LLL9OsWbNSxxWozdGjRzN69OgSx1TW9cGqztdMwfc/2L9r1fH3r8qCBpZlZRtj9gMNgVI/djfG1KcwaBB07gCvgUDBkoNXiwQM/Mez2hjzCXaug67GmFMsy/qtnH2JiNQJqRMmOo7je/fmo12TOZB9wFF+7+n3lhwwyM+B2aNh3otglbI4dN96mPsc9H8UsLde9A8arNq3iv1Z+2kY07CkFsol4fzziDm9K1l+yy/2v/U29YYMIbwW5JsRERE5klJSUli1KvAHAf5iYmJo165dwHPr16/3fUrv8XhIS0tj9+7dLFq0iIkTJ7Jx40bAvhl/7LHHuPnmm0P3BUjIVeVMA4A1QC/gOGNMeCnbLp7o9/z3cvbhv0Xj0jLqLqEwQeKJgIIGInLUyd2yhawlznwG1oX9+HjNM46yvq36cnrTEiZlbV9izy7YW/xPtmXCyA5PJCbvYGHhvBfhpMHQtBOnJZ9GbHgsh/Pt5EYWFvN3zufSdpdW6usqYIyhyYMPsfmKK3xlnkOH2PvKqzR78omQ9CEiIlJXvfnmm7z55ptl1jvllFNYvnx5wHPnn39+mdd3796d0aNHKw9BLVDVcyzmef+NA0pblOH/Splfzj78AxFlBUEi/J6XFMAQEanTUic6ZxmE1a/Pe4nLyXEX7joQZsK4u+vdxS/Oy4IZ/4T3zg0YMCC5Izk3fMvCdvfiIayw3JMPU24Hj5vIsEh6NOvhuGzu9rmV+pqKijm5E0mDBjnKUr/6iux160Paj4iIiJQuMjKSxo0bc/zxxzNo0CD+85//sGzZMhYtWqSAQS1R1TMNJgEPe5/fCCwqWsEY48Le9QAgFXtrxPLY5Pe8F/B1KXX9X5WbSqwlIlJHWW43aZMmO8rcA85m4uapjrLLjr+MtkltnRdvXWTPLtgfYF9sVzj0uhd63YeV5yY9Zg8bmlzECXumFNbZuRQWvQVn3kbvlr35cduPvlPzd84n35NPuCt0/y01vudu0mfMwCrYv9jjYc/TT9H6/fdLz9EgIiJylOnbty+WZZVdsRQffvghH374YWgG5FXZcY0YMYIRI0aEbkBHqSqdaWBZ1mKg4OOjm4wxZwaodi+FSwxetiwrz/+kMaavMcbyPj4McP1MoGADz5HGmIBbLhpjLgCGeA93AMuD/kJEROqIQwsXkr/bmfpl7LG7sPz2UYgJj2Fkl5GFFXIPw7SH4f3zAwcMmnaGv/0E/R6B8MLNctY3vRRPg+OcdX/8DxzcTM8WPR3FGbkZ/LY3tCvGIpo0oeFNNznKDv+8kMyfZoW0HxEREZG6rDpSQN6JvY1iODDDGPOwMaaHMaafMeZtoCDd5Xrg+fI2bllWKvC09zABWGCM+a+3/S7GmPONMW8AUyj8eh+yLMtTia9JRKRWSps4yXGcf1wrJrucN+s3drqRRjHehIGb58ObZ8HCN4AikX5XhJ3c8G8/QrPOxfryuCLJG/icszDvMEy9kyaxyZxQ/wTHqVAvUQBoeNNfCG/a1FGWMno0Vm5uyPsSERERqYuqPGhgWdYy4CogHXvrxf8CPwM/AgVpMtcDF1mWlRGwkbL9B3gJ+x1tPPaSiB+BZcA0YCR20CIPuN+yrE8q2I+ISK3lTk8n4/vvHWXTOzrTuzSOaczwk4ZDTiZ8ez98eCEcDLCaq/mpcMsc6H0/hEUUP+/ladUDTnd+2s/GWfDbOHq17OUonrsj9EEDV0wMyfc4czPkbt7Mwc8+C3lfIiIiInVRtWw2aVnWVKAz8CJ2gOAwdv6CX4EHgVMty/qjEu1blmXdDXQD3gJWARmAG0jD3jXhBaCTZVnPldiQiEgdlv7td1g5hckOrfAwJrRJcdS5rcttxG5bDG+eCYvfKd5IWBSc+zjc9AM0OSm4js99HBJbOMumPUzvBs7VZOsPrmf3oYC75lZK4sUXE32ys6+9r7+BOzU15H2JiIiI1DXVEjQAsCxri2VZ91iWdYJlWXGWZdW3LKubZVmjLcs6XMp1syzLMt7HiDL6WGJZ1kjLsk62LCvRsqxwy7LqWZZ1umVZ91qWpbTZInLUSiuya8Jv7SPJiC1MCNgusQ2D1s6CjwdB6tbiDbTsBrfOg553Q1g5EhZGJ8JFLzjLslM5efFHJEYmOoqrYraBcblo8vBDjjJPWhp7X38j5H2JiIiI1DXVFjQQEZEjJ+fPP8n6zZm7YPpJOY7je7ZvJHzpx8UvDo+B8/8Lf5kOjdtXbAAnDISOQ53NrpnE2QnHOsqqIq8BQOxpp5FwwUBH2cFx48jZqI10REREREqjoIGIyFEgbdIk53GcYXnbwlkG3bOy6bV/e/ELW58FI+fDmbeBK6xyg7hgNMTUdxT12rzEcbxw10Jy3VWTpDD53vswkYW7O5CfT8ro0SVfICIiIiIKGoiI1HVWfj5pkyY7yuZ0BHdYYdDgngMHMf4VIuLggmdhxDfQsF1oBhLfGM5/ylF09oHdjn6z8rP4dc+voemviMiWLWgwfLijLHPWLDLnz6+S/kRERETqAgUNRETquEMLFpC/d6+jbFbnwj//F2YeomNuXuHJY3vDqAVwxs3gCvF/E6dcDe36+w4beDycnO1cJlFVSxQAGt5yM2GNGjnKUp5+Bis/v4QrRERERI5uChqIiNRxqROcCRD/aArbGtuf70dYFnccTLVPRCbAxS/CDVOgfpuqGYwxcPFLEBHrK+qZleWoMm/HvKrpGwiLj6fxnXc4ynI2bCD1q/FV1qeIiIhIbaaggYhIHeZOTSVz5kxHmf8sg2vTMmiR77Y//R/1M5z+F/vGvirVPwb6/9N32PuwM2iwOX0zW9MD7N4QIvWGDiXqxBMdZXtfeQV3RkaV9SkiIiJSWyloICJSh6V9/Q1WXuHSg7wwmH+SHRRIdLv5a5YFl74G102Aeq2qb2Bn3AItugLQITePhvlux+mq2HqxgAkLo8lDDzrK3AcOsP/tt6usTxEREZHaSkEDEZG6KjOFtPdfcBT90t5wKMYOGtwc0YykUQvhtOurfnZBUa4wuPRVcIXjovgSharMawAQ16MH8f37O8oOfPQxudu2VWm/IiIiIrWNggYiInWNZcGKL8j+9xlk7zzsOPXTyXZwoEVkPa655ltIbH4kRmhr0hF63gMUX6Lwy+5fOJx3ONBVIZN8/30QHu47tvLySHnu+SrtU0RERKS2UdBARKQuSd8F466BCX8jba1zR4AD8bDiWDtocGePR4gMjzoSI3TqfR80OoEzs7IJsyxfca4nl8W7F1dp11HHHkuDa4c5yjKmT+fwL79Uab8iIiIitYmCBiIidYFlwbJP4PUzYP13WB5I2xzjqDL7ZIPlMnRq2Inz25x/hAZaRHgUXPoqCRacWmzrxTlV3n2jUaMIS0pylO15+hksj6fK+xYRERGpDRQ0EBGp7dK2w9jLYfJtkJMGQOauKNw5YY5qs062/+Tfc/o9uEwN+vPf+gzo9ld6Fc1rsGk6lt/sg6oQlpREo9tvd5Rlr15N2uQpVdqviIiISG1Rg941iohIuVgW/PoBvN4D/vjBcSp1Y6zjeF0L2NXQ0LdlX7o17VadowzOuY/R2+X8xH9XXjp/7qzaJQoA9a+6ksi2bR1le198Ec/hqs2pICIiIlIbKGggIlIbHdwCHw+Cr++C3AzHqfxsF5m7nEGDWZ1dhJkw7u56dzUOshyiEmg38AWa5TvzMMyZ9a8q79pERNDkwQccZfkpKez/33tV3reIiIhITaeggYhIbeLxwOJ34Y0zYdPs4ufjm5Le4BbwFE7rzwmHBScahh4/lLb12ha/poYwJ5xPr2jnbg5zMzbC719Xed9xvXsTd/bZjrL9779P3u7dVd63iIjIkTZr1iyMMQEfsbGxtGrViosvvpj333+fnJycshv0crvdfPnll1x33XW0b9+epKQkYmJiaNOmDRdccAGvvfYaqamp5R5vbm4u48aN44YbbuDEE0+kYcOGRERE0KhRI7p27crIkSP54Ycf8JSQo6hNmzYYY2jTpk2Zff3jH/8gLCwMYwzHH388247C7ZkVNBARqS0ObISPLoFv74O8Q8XPd7kWbltI6oJ1juLFJxiIj2VUl1HVNNCK6939LsfxsugoMr69F7JSq7RfYwzJDz4ArsL/Fq3sbFJeeKFK+xUREanpsrKy2L59O9988w033XQTXbt2ZfPmzWVeN2/ePDp37syVV17J2LFj2bBhA+np6WRnZ7NlyxamTZvG7bffznHHHce7774b9HgmTJjACSecwLBhwxgzZgzr1q3jwIED5Ofns3//fpYuXcpbb73FgAED6NChA998802Fvm7LsnjggQd44403ADjxxBOZPXs2rVq1qlB7tZmCBiIiNZ3HDT+/AW+cBVvmFT+f2AKu/QoGv0H2pl3krF3rOD3rZMONHW+kUUyjahpwxXVrcw6RpjCBo9sYFrjT4IfHqrzv6PbtqXflFY6y9ClTyVqxosr7FhERqSlGjhzJypUrfY+ZM2fy8ssv07JlSwBWr17NpZdeitvtLrGNr776inPPPZc1a9YA0LdvX959913mzp3L4sWL+fLLL7n++usJDw9n//793Hzzzdx3331lju3f//43l112mS9oMWDAAF599VVmzpzJkiVL+P7773nttdc4//zzcblcrF+/nn/84x/l/h5YlsXIkSN9wYyOHTsya9YsmjdvXsaVdVP4kR6AiIiUYt8Ge1eEbYsCnz9tOJz3b4i2kwgenDjReXki7D6xMcM7Dq/qkYZEbEQs3ZqdwfydC3xlc2NjOH/Jh3DyFdCmZ5X23/iOO0j/+hs8mZm+sj1PPc0xn47FGFOlfYuIiNQEycnJdOrUyVHWv39/brzxRjp37szmzZtZuXIlEydO5PLLLy92/bJly7j22mvJzc0lMjKSDz74gGHDhjnqdOvWjcsvv5x77rmHSy65hO3bt/P888/Trl07Ro4cGXBcH3zwAf/61798Y/ziiy/o06dPsXrnnnsut912G6tWreLuu+9m79695fr6PR4Pf/3rX/nggw8A6NSpEzNnziQ5Oblc7dQlmmkgIlITedww/2V4q2fggEFSa7h+Elz6ii9gYOXmsn/yBEe12Z0Mo077O7ERscXbqKF6teztOJ4XE4MHYMrtkJcV8JpQCW/QgEZF3qxkLVtGxnffVWm/IiIiNV1CQgKPPvqo7/iHH34oVsfj8XD99deTm5sLwPvvv18sYOCvS5cuzJw5k7i4OADuvfdetm7dWqzejh07+Pvf/w5AXFwcs2fPDhgw8NepUyemT58e1AyGAm63m+HDh/sCBl26dGHq1Kk0alTzZ2tWJQUNRERqmpS18N4A+P5fkJ9d/Hy3v8GoBdCun6P4wMzvCUt3bhO48ew2DD5ucBUONvR6tejlON4fHsbvkRF2TodZT1d5//Wvv46I1q0dZSnPPY+nHImfRERE6qKTTz7Z9zxQQsCpU6eyevVqAC644AKuvfbaMtts3749//znPwE7f8LLL79crM6LL77IYe9WyE8++SQnnnhiUON1uVxcd911QdXNz8/n2muv5ZNPPgGgR48eTJo0iXr16gV1fV2moIGISE3hzoM5z8HbvWDHkuLn6x8LI76Bi56DqIRip9d+8qbjeE0rGH7eg4S7atdKtNaJrWmT2MZRNic2xn6y4FXY9VuV9u+KjCT5vnsdZXk7d3Lgw4+qtF8REZGaLjIy0vc8IiKi2PmPPir8v/Kuu+4Kut1bbrmF6OhoXxuWVbgLlGVZvnbj4uL429/+Vt5hlykvL4+rrrqKzz//HICePXsybdo0kpKSQt5XbaSggYhITbB7FfzvHPjx3+DOLXLSQI9RMHJ+iWv692//k6SlfzrKtvRsR+8iU/1ri54tnF/nvBhv0MBy28sU3PlV2n/CgAHEduvmKNv/9tvkl3NdpIiISF3y+++/+54H2q5w7ty5AMTGxnLOOecE3W69evXo3dt+z7J//35fAkWwEy/u27cPgF69epGQUPyDk8rIzc3l8ssvZ8IEe4lnv379mDZtWsj7qc0UNBAROZLyc+0p9+/0CfwJesPj4C/TYOBTEBlXYjM//e9xwgqD8mRHwPl/ebzWJu8rGuxYGRXJgYLtEHf9Bj+/VqX9G2NIfuhB8Pv+eQ4fZu8rr1RpvyIiIjWV2+3m2Wef9R0XTYK4Y8cO3819586dCQsLozxOO+003/Pffvst4POuXbuWq82y5OXlMWTIEKZMmQLYuzF88803vhwLYqtdc1ZFROqSncvtnRH2rCp+zrjgzNug3z8gIqbUZrambSXpB+dyhu2nt+KSVqeHcLDVq2uTrsSEx5CVbyc+tIxhfmw0l2R6czbMego6XAIN21XZGGI6diRp8GDS/HakSP1qPPWHDSO6Q4cq61dERMrmsTyk5qQGX9/jISMnA4D87Hxcrtr32Wm9qHq4TPWPe+/evaxcuZJ//etfLFu2DLADBj17OmcFFgQMAJo2bVrufpo0aeJ7vn///oDPQ72Dwc6dO9m5cycAffr0YcqUKb5lElJIQQMRkeqWnwOzR8O8F+3p9kU1PhEGvQ4tg7vp/3TSkwzaZznKOo+4KwQDPXIiwyLp0awHP237yVc2NyamMGiQnw1T74ThUx2zAUKt8V13kT59OpY3+RKWxZ6nn6H1hx/U2lkcIiJ1QWpOKn0+Lz17fl0z+6rZNIhuUOX9PPHEEzzxxBMBz8XGxnLrrbfy9NPFExNnZGT4nsfHx5e7X/9r0tPTA7Yb6hkAxhhf/oSVK1eyfv16OnfuHNI+6oLaF2ITEanNti+Bt/vA3OeKBwxMGPS6F26ZE3TAYMXeFURPW+AoO9w4gda9BoZqxEdMr5bOXRTmJ9TDkclg81xY+nGVjiGiSTKN/vZXR9nhRYvI/PHHKu1XRESkJurSpQt33HFHwCSI/jkAMjMzy922/zWJiYkB2z106FC52y1N69atuf/++wE4cOAAAwYMYO3atSHtoy5Q0EBEpDrkZcGMf8J758Le34ufT+4If5sJ5/wLwqOCatKyLF76+VnO/t05y6DJ5VdjauG0y6KKbr2YbuWxsmErZ6UZ/4T0XVU6jgY33kh4s2aOsj2jR2PlFk1YKSIiUvuNHDmSlStXsnLlSpYtW8bUqVMZPnw4LpeLBQsW0LdvX/YGSAzcqFEj3/Pdu3eXu989e/b4njds2DDgc/86oTJ69Gj+/ve/A5CSksK5557Lxo0bQ95PbVb731WKiNR0WxfBW71gwStgeZznXOHQ5yG4eRY0P7Vczf647UfC5y8lPttZ3uTyqyo33hqiaVxT2tdv7yib02GAs1JOGnx3f5WOwxUdTfI99zjK8rZs5cCnn1ZpvyIiIkdCcnIynTp1olOnTnTp0oWLL76YDz/8kPfffx+AzZs389e//rXYdc2bN/cFDlasWIHbHWAJZimWLl3qe37KKacEfO5fJ5ReeeUV/vKXvwB2QsdzzjmHbdu2VUlftZFyGoiIVJXcw/YWigvfBKzi55t2hsFvQNOTy910niePl5a8xLAVznZjzuhORIsWFRxwzdOrRS/WH1zvO557eBt3dr4KVnxeWOn3qbBmCpx0aZWNI/HiizjwyRiyf1vhK9v3xpskDRpEeP36VdaviIgEVi+qHrOvmh10fY/H41sbn5CQUGsTIR5Jw4cPZ+rUqYwfP54pU6bw448/0r9/f995Yww9e/Zk0qRJHD58mJkzZ3LeeecF1XZaWppvu8aGDRty0kkn+c517NiRRo0asW/fPubOnUt6erpj+UIoGGN49913yc7O5tNPP2Xz5s0MGDCAqVOnOhI0Hq1q32+LiEhtsHkevHkWLHyDYgGDsEjo/yj87ccKBQwAJqyfQNqOTXTe7Gy7/mWXVXDANVPRrRfXHVzHnt73QGxDZ8Vv74Osg1U2DmMMTR56yFHmSU9n32uvV1mfIiJSMpdx0SC6Qbke9aPqUz+qfrmvqymPI7FzQlH//e9/fVspPvLII8XOjxgxwvf8lXJsU/zOO++QlWXvmDR8+HBHsmFjDMOHDwfsnAb/+9//KjL0MrlcLj766COGDh0KwIYNGxg8eDAHDhyokv5qkyP/yhMRqUtyMuGb++DDi+DgpuLnm59mJzrsfT+EFU8iFIxDeYd447c36LPSwuUXM3DFxZEwYEDJF9ZCnRt3JiEywVE298AqGPiMs2LmHju/QRWKPfVUEi+80FF28LPPyPnzzyrtV0REpKZo3749V155JQCLFi3i+++/d5y/5JJL6ODdlvibb77hs88+K7PNP/74gyeffBKAmJgY7rzzzmJ17r77bmJjYwH417/+FXSyQo/Hw9ixY4OqCxAeHs64ceO44IILAFi7di1Dhw4lLS0t6DbqIgUNRERCZeMsePNM+OXd4ufComDAk3DT95DcoVLdvL/qfQ5k7afvSmd+hMQLL8AVE1OptmuacFc4Zzc/21E2d/tcOPlyOL7IlMdlY2Bj8FNVKyL53nswUX6JKt1u9jzzTMkXiIiI1DGPPPKIbybAf/7zH8c5l8vFmDFjfLsrjBgxgs8//7xYGwVWrFjBOeec49s54fnnn6d169bF6rVo0YLXXnsNsGcb9OnTh9mzS/8/f82aNQwcOJBnn302+C8OiIyMZMKECb6lF7/99hsXXnhhhXaEqCsUNBARqazsdJh6J3w8CFK3Fj/f6gwYOR/OvhPCKpdKJuVwCh+v/pj2O6B5kdlySUOGVKrtmqro1osLdy0k15MHF70AkUX2gZ56p51LoopEtGhBgxtHOMoOzZlL5tx5VdaniIhITdKpUycuvdTOIzRnzhzmzXP+H9i1a1fGjBlDZGQkOTk5XH311fTv35/33nuP+fPn88svvzB+/HiGDx9O165d2brVfu907733MnLkyBL7vfHGG30zElJSUujbty/nn38+b7zxBj/99BPLli1j5syZvPnmm1x88cV07ty52EyIYEVHRzNp0iTOOOMMABYuXMjFF1/sW0JxtFEiRBGRyvjjB5hyJ6RvL34uPMbeQvGMW8AVFpLuXl/+Otnu7GKzDCKPOYaYU8u3+0JtcXbzszEYLG9uiMP5h1maspQezXrAuY/b+QwKHNwEs56C8/5dZeNp9Le/kTp+PO69+3xle555mrgzJ2HC9d+qiIjUff/4xz+YPHkyAP/+97+ZPn264/xVV11Fs2bNuPXWW/n999/56aef+OmnnwK21aBBA5566iluvvnmMvv95z//SceOHbn33nvZvHkzM2bMYMaMGSXW79ixI6NHjy7HV1YoLi6OL774gsGDB7Ns2TJmz57NkCFDmDJlCpGRkRVqs7bSTAMRkYrISoVJt8EnlwUOGBxztj274MxRIQsYbDi4gUl/TCIyz+KsNc4EiElDhjiSBtUlDWMa0qlRJ0fZnO1z7Cen32TP5PD382uwc1mVjccVF0fyXXc5ynL/+JPUL7+ssj5FRERqkm7dujHAm0dpxowZ/PLLL8Xq9O7dm5UrV/LZZ59xzTXXcNxxx5GQkEB0dDStWrXi/PPP55VXXuHPP/8MKmBQYOjQoaxbt46xY8dy3XXXccIJJ1C/fn3Cw8Np0KABp512GqNGjeLHH39k5cqVQe/gEEhiYiLjx4+nc+fOAEyfPp2rrrqK/Pz8CrdZG+kjERGR8lo3Db6+CzJ2FT8XEWd/+t3trxDi7ZxeWPICHsvDGessYnP9TrhcJA0eFNK+appeLXqxct9K3/Hc7XN5oNsD9vf40lfhrZ7g9n5TLA9MuR3+9lOFk02WJWnwYA58Mpac33/3le195VUSL7qIsBBvAyUiIlLV+vbti2UF2B66FKV9wl8gLCyMq666iquuuqqiQwsoMjKSYcOGMWzYsApdv3nz5qDr1q9fn2XLltXKbTpD5ej9ykVEyuvwAZhwM4y7KnDA4NjeMGoBnHFzyAMGC3ctZN4Oe81gn5XO/9TjzjqLiKZNQ9pfTVN068XN6ZvZlr7NPmh8gr0bhb/dK2HBq1U2HhMWVmwLRvfBg+x76+0q61NERETkSFDQQEQkGL9PhdfPgBUBMgBHJsDFL8ENU6B+m5B37bE8vPDrCwA0SrPotLno0oTBIe+zpunQsAMNohs4yubsmFN4cPZdkHyS86JZT8O+P6psTHFndCf+3HMcZQfGjCF3y5Yq61NERESkuiloICJSmkP74MsR8Pl1cCil+Pl258Con+H0G6GKcgp8s/Ebfj9gT4Pvs9Jy/OF2JSSQcO65VdJveeW5PSzbepB3523hg3UuPv/TxZ70nJC07TIuerbo6Sibu2Nu4UF4pL1MAb+fgTsHpt4BHmfSyFBqcv/9EOG3BCIvj5Tnnquy/kRERESqm3IaiIgEYlmwegJ8ez8c3l/8fFQSDPwvdLm2yoIFADnuHF5dZk+zN5ZFnyK7JiRedCGuqKgq6780eW4Pq3aksXDjARZu3M+vmw9wKNftPWuHNu4dv4rxo3qW3Eg59GrZiyl/TvEd/7LrF7Lys4gJj7ELWp4OPUbCwjcKL9oyH5Z+ZAd1qkDkMcfQ4LrrOPDBB76yjO9/4NCixcSd0b1K+hQRERGpTgoaiIgUlZkC39xjL0kIpP1AuPhFSGxe5UP59PdP2XXIzp9w4jZomuo8X2/o0CofQ4E8t4eVO9JYuHE/Czce4NfNBzjsCxIEtmRrGn/uzaRd4/hK939W87MIM2G4LbvPXE8ui3ctpk+rPoWV+j8Ka7+G1K2FZd//C9qfX2U/r0YjbyVt0iTcBw/6yvY88zTHfvklJiw0O2eIiIiIHClaniAiUsCyYMUX8Hr3wAGD6How5B245rNqCRikZqfy7op3fcd9VzhnGUS2a0f0ySdXWf95bg9Ltx7kjVl/cMP7iznliRkMfWMBo6etY876vWUGDApMX707JONJjEykS3IXR5ljiQJAZJydX8JfTjp8c5/9860CYYmJNLr9784u1/xO2qTJVdKfiIiISHXSTAMREYD0XfD13bD+u8DnT7wYLnoBEppU25DeXvE2GXkZAETlWpy51nnTW2/oEEwIl0bkuT2s2G7PJFi0KbiZBIHER4WRmVN43fRVuxnV97iQjLFXi14s2bPEdzx3+1wsy3J+H447B065Bn4bV1i27htYMwk6DgnJOIqqf+WVHPz0U3L/+NNXlvLSiyQOPB9XXFyV9CkiIiJSHRQ0EJGjm2XB8rEw7RHISSt+PrYhXPicfbNZhbkLitqWvo3P1n3mO+6x1iI6z69CWBiJl1xSqT78gwQLN+5nyZaDFQoStG8ST4+2DenRtiHdj23A8s37+Osny33nf9uexo7ULFrUi6nUeMHeevGlpS/5jnce2snGtI20q9fOWfH8/8KG7+HwvsKyb++HY/tArHMXhlAw4eE0efBBtv3tZl+Ze+8+9v3vfyTfeWfI+xMRERGpLgoaiMjRK207TL0T/vgh8PmOQ+HCZyGuUfWOC3hl2Svke/J9x/1XOs/H9+xJRHJyudrMzfewckeqX+LCg2TlVT5I0CjemYixe5t6xIRZZLkLgywzVu/mxrOPLXdfRR1X7ziaxjVl96HCJQ9zts8pHjSIbQAXjoav/lJYdmgvzPgnDH690uMIJL5XL+J69eLQ3MIlEwfe/4D6V1xBRPOqX84iIiIiUhUUNBCRo49lwZIP7RvI3Izi5+OS4eIXoEPlPsmvqJV7VzJt8zTfcZODFh22OvMZJAWRADFUQYITmiTQo20DX5CgYXzpuzVEhLno1MDil72FQYPpIQoaGGPo1aIXX67/0lc2d8dcbuwUYHeEjkPtHBXrC7+XLP8ETr4c2vWr9FgCafLgA2xcsADc9vfZyskh5fkXaPG8tmEUERGR2klBAxE5uhzcAlNuh02zA5/vfBUMfLpKprAHw7IsnvvVeYM5YE0EUHizH5aURHy/vsWuzc33sGJ7ql9OguoJEgRySgOLX/YWHi/edID9mTkVaquo3i17O4IGy/YsIyM3g4TIBGdFY+w8FJvnO4NDU++EUT/bSRNDLOq446h/1VUc/PRTX1n6N9/Q4PrriOnSJeT9iYiIiFQ1BQ1E5Ojg8cCv78H3j0HeoeLnE5rZWfdPGFjtQ/P307afWJqy1HdsLIvz10QC2b6yxEsuwRUZ6QgSLNx4gF+3HCA7zxOg1dKd2DSBM46tXJCgqBOSLCJdFrkee7aBx4Ifft/DVd1aV7rt7k27E+GKIM9jJ3nIt/L5eefPnNfmvOKVk1rAgMfhm3sLy1K3wE//hfP/r9JjCaTR7X8nbepUPBmFgYo9Tz3NMZ+NC2niShEREZHqoKCBiNR9+/+EKXfAlnmBz3e5zr6BjKlXrcMqKt+Tz4tLXnSU9d7TkKh9KY6y6S278v3/FlUqSGDnJGhA92Mb0iAuslLjDiQyDE6qZ7H8QOFN8rRVu0MSNIiNiKVb024s2LnAVzZ3x9zAQQOArn+BlV/B1p8Lyxa+AZ2GQouulR5PUeH169No1ChSnnnGV5b122+kf/MtSRdfFPL+RERERKqSggYiUnd53LDobZj5JORnFT+f2AIueQWOP7f6xxbAhA0T2Jy+2VE2dF1ToDBosDGxGY/9ng9mH8GqjiBBIJ0bWiw/UHg8/4/9pGfnkRgdUem2e7Xo5QgazNsxD4/lwWVcxSu7XPbP+a2zwZ1rl1keO5B08ywIq/x4impw7TAOfjaOvC1bfWUpzz9Pwrnn4IqODnl/IiIiIlUlwLsrEZE6YN8G+OACmP5w4IBB1xEwamGNCRgcyjvE68udWf2j05pRf9HvjrLvW3crc+vHE5smMOKsNrx1XVeW/nMA0+7qzeOXdmRgp2bVFjAAe6ZBhKtwrLluDz+tTSnliuD1btnbcbwvax9rD6wt+YLG7aHPA86yPatg/sshGU9RJjKSJvff7yjL37WLAx9+WCX9iYiIiFQVzTQQkbrF44afX7PXrOdnFz9frzVc+iq07VvtQysqJ9/Nb9vSWLhxP5O3vM+BsAOO891+bUu0e5vvON+4+KnVacXa6dAs0ZeT4IxjG1C/GgMDpYkJhx5tGzD3j/2+sumrdzOoS4tKt906sTXHJB7DlvQtvrI52+dwUsOTSr7o7Ltg9SQ7WFBg9mg4aRA0Or7SYyoq/pxziO3encOLF/vK9r3zLklDh5Z7u0wRERGRI0VBAxGpO1LWwuRRsGNJ4PPd/gbnPg5R8dU6rAL+QYKFG/ezZMtBcvI9mPB04tpNx3/+QH7GifT/Y4vj+sVNTyItKp4OzRILdzdoU3OCBIEM6NDYETSYtW4v2XluoiPCKt12rxa9HEGDuTvmcuspt5Z8QVgEXPoK/O9ce3kCgDvH3k1jxLf2MoYQMsbQ5OGH2DT0MnubT8A6fJi9L71M8/9WTRJGERERkVBT0EBEaj93nj3NfPYzhWvW/dU/Fga9Bm16VuuwcvLdLN+aysKNB1i4cT9Lt9pBgqIiG32PceX5ji3L0OiPM+h44D1HveNvuIplVw6o0UGCovqf0IjHv7Z3TwA4nOtm7oZ9DDipSaXb7tWyF5/8/onveOXelRzMPkj96PolX9SiK/QYZc9GKbD1Z1jyPnT7a6XHVFR0hw4kXTaUtK/G+8rSJk6k/rXDiOnYMeT9iYiIiISaggYiUrvtXmXPLtj1W4CTxr5B7P8oRMZW+VCCDRL4c0XuIaLer46y+NyzuDv3oKMsrEEDel03CBMR+qR9ValhXCTd2jRg0abCpRfTVu0OSdDg9CanExMeQ5Y3Z4WFxbwd87ik3SWlX9jvEfh9qr31YoHvH4f2F9hbNIZY8p13kvHtd3gOH7YLLIuUp5+h9ccfaQtGERERqfGUCFFEaqf8XPjpKXinT+CAQcPj4S/TYeB/qyxgkJ3nZuHG/bz0w3queWchnR+fwVXvLOTFH9bz88b9ZQYMAKKafIsxlu84OiyaKdc8zsmr5zvqJV1ySa0LGBQY2Kmp4/iH3/eQ5y7/VpFFRYZFckazMxxlc3fMDeLCOLikSALE3Az45l7fMoJQCm/cmIY33+woO/zLL2T88EPI+xIREREJNQUNRKT22bkc3u0Hs58GT77znHHB2XfCrXOh9RkBL68o/yDB1e/8TOcnZnD1Owt56YcNQQcJjIGOzRO5qeexPDA4jPD4dY7zIzqNIHb5H+Tv2eMoTxo6JKRfS3U6v6MzaJCWlceijQdKqF0+vVr0chzP3zEft8dd9oXt+kGX65xl67+D1RNCMq6iGowYTnjzZo6ylGefw5MbYDmNiIhINZs1axbGGN8jISGBwwUz5EqRlZVFUlKS49pZs2aV2nYwj7vuuguAxx9/vNzXFn2MGDGi2Lgty6Jt27a+OjcXCe6Xpk2bNhhjaNOmTdDX1HZaniAitUd+jp23YN5LYAW4MWx8Igx6A1p2DUl32Xlulm1NZeHG/SzatJ+lW1PJDSIw4K8gSHDGsQ19iQuTYiPwWB6u/vpxR92G0Q25seONHHzwUUd59EknEX3CCZX9co6Y5vViOKVlEr9tT/OVTVu9i57HN6p020W3XkzPTWflvpV0Se5S9sXn/Rs2zIBDfttAfvsAtO0HsQ0qPTZ/ruhoku+9l5333ucry9u6lYOfjKXhX24MaV8iIiKVlZmZyaRJkxg2bFip9SZPnkx6eno1jSp05s6dy6ZNm3zHX375Ja+88grR0dFHcFQ1l4IGIlI7bF9i5y7Yu7b4ORMGPe+GPg9AeFSFu/APEizcuJ9l2yoeJOjhDRJ08wYJivp207f8fuB3R9moLqOIOpxHxg8zHeVJQ4eW/4upYc7r2NQRNJi+eg9PXtoJl6tya/qbxjXl+PrHs+HgBl/ZnO1zggsaxDaAC0fDlyMKyw7vg+n/gCFvVmpcgSReeCEHx3xC1vLlvrJ9b75J0uBBhDcIbZBCRESkoqKjo8nOzmbMmDFlBg3GjBnjuKYsI0eOZNSoUWXWa9TI/mBh1KhRXH755QHrTJ48mUcftT9o+c9//sOgQYMC1qtfv3iC5I8//hiA+Ph4MjMzSU1NZcqUKVx55ZVlju1opKCBiNRseVnw03/tbPdWgBv4Jp1g0OvQvEu5m87Oc7N060EWbjzAolAFCY5tQFJM6bkHctw5vLL0FUfZsUnHMvT4oaR//iWW35R1ExFB4kUXlmtMNdHATk15dnrhUoy9GTks23aQrsdU/ma5V4tejqDB3B1zueO0O4K7+KTBcMJFsO6bwrLfPoWTL4fjzqn02PwVbMG4+aqrfWWejAz2vfYaTf/1r5D2JSIiUlGXXnopX3zxBd9//z27d++madOmAeulpKQwY8YMAAYNGsTnn39eZtvJycl06tQp6LEkJyeTnJwc8NyvvxYmkm7RokXQ7WZnZ/PVV18BcMstt/Ddd9+xZs0aPv74YwUNSqCggYjUXFsXweTbYP+G4udc4dD7fuh5D4QHtwWhf5Bg4cb9LN+aSm45E/K5DHRsnkSPtg3o0bYhp7cpO0hQ1Ljfx7Hr0C5H2d2n3U24K5zUCRMd5fH9+xMeIEJe27RrHM/xyfFsSMn0lU1fvSckQYPeLXvz/qr3fcdrD6xlz6E9NIkLYocGY+Ci52DzXMjxm1759V0w8meIiq/0+PzFnHIKiZdcQvrUqb6yg599Tv1rriHq+OND2peIiEhFnHfeecyZM4fdu3czbtw47r777oD1xo0bR35+Pk2bNmXAgAFBBQ1qgkmTJpGWZs9+vPbaa2nYsCGPPPII06dPJyUlpcQgxdFMiRBFpObJPQzTHob3zw8cMGh2Ctw8G/o+VGrAIDvPzYI/9/HC9+u58u2f6fz4DIa9u4hXZm5g8aYDQQUMXAZObpHE33ody3vDT2fZv85j6u09+cdFJ3FOhyblDhik5aTxzsp3HGVdm3Slb6u+5GzYQPbKlY5z9WpxAsSiiu6iMG3VbqwQ7FZwSuNTSIhIcJTN2zEv+AYSm8OAJ5xlqVvhp/+r9NgCSb7nboz/mkmPhz3PjK6SvkRERMorLCyMa665BihcfhBIwRT/YcOGERYWVi1jC4WCcZ900kmceuqpXHvttRhjyM/P59NPPz3Co6uZFDQQkZpl8zx48yxY+AZQ5IYyLBL6/xP+OhOaFp+Clp3nZsEf+3hhxjqufKviQYLOLZO4uXdb3h9xOssfq1yQoKi3V7xNRm6Go+y+0+/DGEPqxEmO8vDGjYk7++xK9VeTFN1FYeuBw/y+K6OE2sELd4VzVouzHGVBbb3o77QRcEyR7/XCN2H7rwGrV0ZEs2bFkh8emjePzDlzQt6XiIhIRVx//fUALFu2jNWrVxc7v2bNGpYuXeqoWxvs2bPHt6TiuuvsXZRat25N7952YuWCgII4aXmCiNQMOZnww+Pwy7uBz7foaucuSO7gK8rKdbNs60Fv4sIDLN9WseUGnVok0aNtQ3q0bcDpbRqQGF25wEBJtmVsY9zacY6yC9pcQKdGnbDy80mbMsVxLmnQpZjwuvNnumPzRFrWj2H7wSxf2bTVuzmpeWKl2+7VohfTN0/3Hf+882fy3HlEhAX5s3S54JJX7ICVO8dbaMGU2+1ZLUEugQlWw5tuIvXLr8jfu9dXtueZ0cSdeSYmompefyIiIsE69dRT6dixI6tXr2bMmDE8/fTTjvMFMxA6depEly5dWO6X5LcmGzt2LG63G2MM1157ra/8uuuuY/bs2b4gSceOHY/gKGueuvNuVERqr42z7Juz1K3Fz4VFQf9/QI/byHIblv6xz7e7wfJtqeS5yze9vWC5gR0kaEjXNvWrLEhQ1KtLXyXfk+87DneFc/tptwOQOXcu7n37HPWThtSdpQlgJwIc2LEp/5tXuMXR9FW7uWdA+0q33bNFT8fx4fzDLE1ZyhnNzgi+kUbHQd8HYeaThWUpa2D+S/bOHCHkiouj8d13s+uRR3xluX/+ycEvvqCB35sYERGRI+WGG27gwQcf5NNPP+Wpp57CGHvHI8uyGDt2rK9OeaSkpLBq1aoy651wwglEVEEQvWAmQa9evWjdurWv/IorruDvf/87OTk5fPTRR4werWWD/hQ0EJEjJzsdvv8nLPkw4Gl3y+78dur/8dP+JBa+uzgkQYLT29QnoZqCBP5W7VvFd5u/c5Rdc+I1tEpoBUBakQSI0ad0Jqpdu2obX3U5v5MzaLBuTwYb92bStnHlEg42jGlIp4adWLW/8I3InO1zyhc0ADjrDlg9EXb75ZaY8yycNAgan1CpMRaVNHgQBz/5hOw1a3xl+159jaSLLyYsKSmkfYmI1DWWx4M7NTXo+h6PB3eGvSQuPz8fl6v2rdIOq1cPU43jvvbaa3n44YfZtm0bs2bNol+/fgDMmjWLbdu24XK5ytySsag333yTN98se1vjTZs20aZNm4oMu0QrV67kt99+AwqXJhRISkrikksu4auvvmLs2LHFZlYc7RQ0EJEjY8MPMPUOSN9R7FSeK4oxcSN4ZlNvcv7YC+wtfn0JwlzGu9zAu7vBMUcmSODPsiye+/U5R1lCZAK3dL4FgPyDB8mYNctxvt6QodU1vGp1Wuv6NIqPYl9mjq9s+uo9jOxb+V0KerXs5QgazN0xl/u73V++RsIi4NJX4d3+hVt8unPtmTA3TrOXMYSIcblo8vBDbLm+8FMad2oq+958iyYPPRiyfkRE6iJ3aiobzqpY3p+UEI+luhy/YD7hDSq/61CwWrRoQb9+/Zg5cyZjxozxBQ0Klib079+fFi1aVNt4Kuujjz4CICoqiiuuuKLY+euuu46vvvqKnTt3MnPmTM45J7RbL9dmtS/EJiK1W1YqTLoNxl4WMGCw0NOBc7Ke5sm9fchxmzKbC3MZTmlVj1v6tOWDG7ux/F8DmHzb2Tx8QQf6nZB8xAMGALO2zWLJniWOsptPvpmkKPvT5PSpX0Nenu+ciYoi8cILqnOI1SbMZTivo3MrxOmrd4ek7d4tezuON6VtYlvGtvI31PxUOPPvzrJti+DX9yoxusBiu3Uj4bzzHGUHxo4ld/PmkPclIiJSXgXLD8aPH09WVhZZWVl89dVXjnPl8dhjj2FZVpmPUM8ycLvdviUVF110EfXq1StW58ILL6SBNyijhIhOChqISLXJXv0NOa90h+WfFDt3yIri0bwbuSb3H2y1mgS42hbmMnRpVY9b+7Tjwxu78dtj59W4IIG/fE8+Ly590VHWPK4513S4xnecOsm5NCHh3HMJS6x8csCaamCRXRSWb0tlV1pWCbWDd1LDk2gQ7fwEZu72cu6iUKDvw1D/WGfZD49DagWCEGVIvv8+Z/LDvDz2PPtcyReIiIhUk6FDhxIbG0t6ejqTJ09m0qRJZGRkEBcXx9ChtWdW5IwZM9i92/6QoujShAIRERFcddVVAEycOJHMzMxqG19Np+UJIlJlDufms2TLQZav20jnVU/TJ/vHgPXmujvxcP7f2G41LnYuzGX8chLYuxvER9WeP10TNkxgU9omR9ntp91OVFgUANlr15Kz5nfH+bqWALGoHm0bkhgdTnp2YVLIGav3MPysNpVq12Vc9GzRkyl/Fu5CMXfHXIZ1KN96SwAiY+GSl+HjSwvLcjPhm3tg2Bdgyp4FE3RXrVpR/4brOfDe+76yzJkzObRwEXE9ypmTQUREJITi4+MZMmQIY8eOZcyYMViWnVtqyJAhxMXFHeHRBc9/5kAwwY5Dhw4xfvx4htTx92TBqj3vvEWkxjuUYwcJFm7cz6JNB/htWyrnsJj/RLxPY5NWrH6GFcP/5V/LZ+5+gH0TFuYydG7pt7vBMfVrVZDA36G8Q7yx/A1HWYcGHbjw2At9x2kTnbMMwps2Je7MHtUyviMlMtzFuR2aMGFZ4fKUaat2VzpoAPbWi/5Bg192/0JWfhYx4THlb6xtHzj1elg2prBswwxYNR5OvrzSY/XX6NZbSZs4CfeBA76yPU8/zbHjv8KEhYW0LxGRuiCsXj2OXzA/6Poej4cMbyLEhISEWpsI8Ui44YYbGDt2LDNmzHCU1RYFsyTK65NPPlHQwKt2vhMXkRrBP0iwcON+VmxPI99jR6AbkM5LER9ycdjCgNfOcp/Cw3l/JcXViFNb140gQVEfrv6Q/dn7HWX3nX4fLmO/UbFyc0mbMtVxPmnQoKPiJvH8Tk0dQYNFm/Zz4FAuDeIiK9Xumc3PJMyE4bbcAOS4c/hl9y/F8h0E7bx/24GCzD2FZd89AG37QVzDSo3VX1hCAo3vuJ3djz/hK8tZu5a0iROpd3loAxQiInWBcbnKlRTQ4/EQFm6/vwhPTKyVQYMj5ZxzzqFZs2bs2rULgObNm9eqJIFffvklWVn2Msgnn3yS448/vtT6X3/9NWPHjmXWrFls376dli1bVscwa7S68c5cRKrFodx8Fm/ba88kKBIkKGRxsWshT0R8SEOTUayNdCuWjxJv4fBJV/F0u0acfkx94upIkMDf3sN7+Wj1R46yXi160b1Zd99xxuzZuA8edNSpN2RwdQzviOt9fGNiIsLIyrNv7j0W/LBmD1d2a1WpdpOikjil8SksTVnqK5uzfU7FgwYx9eHCZ+ELv09UDu+H6Q/D0HcqNdai6l1+OQfHjiVnwx++spSXXiZh4AWExdeeKaAiIlK3hIWFcf311/Pyyy8DcP3119eqoEvB0oT69evz0EMPERFRev6rE088kbFjx+LxePjiiy+45557qmOYNVrt+WmLyBGRmpXHd9sML64Mo8czcxn+/mLenPUnS7emFgsYNCaVtyJe4rXIVwMGDPa36E/47Yu5/d7HefCCDvRp37hOBgwAXl/+Oln5hcn9XMbFPV2d/+mkTZzkOI7p2pXIEGcLrqliIsPo096Zw2JaiHZR6NWyl+N43o55vjWYFXLSIDjxYmfZis/tbUNDyISHk/zgQ44y97597H/33ZD2IyIiUl7PPPMM2dnZZGdn8/TTTx/p4QRt8+bNzJ1rJ0UeNGhQmQEDgC5dutCuXTsAvvjiiyodX21RN9+ti0hIeDwWIz/9jeXbC6bLl3TjZTHYNZ/HIj6mvgmQaTamPlwwmoYnXxHSBHI11R8H/2DiH85cBUOOG8Jx9Y/zHefv20fm7NmOOkfLLIMCAzs1dQQK5m3YR0Z2XqV3wOjdsjcvL33Zd7wjcweb0jbRtl7bijd64XOwaS7k+OXm+PouGLUQouIr3m4R8T3PJr5PH8dr48AHH1DviiuIbFl79sIWEREJJCUlhVWrVpVZLyYmxnfjXhn+yRsvu+yyoK+77LLLGD16NOvWrWPp0qX07du3WJ3MzEw+/PDDMttq3bo1/fv3D7rvmkhBAxEp0Yw1u1m+Pb3UOi1cB3k5/iNOz10cuEKHS+DC5yGh5G0U65oXl76Ix/L4jmPCYxjVZZSjTtrUr8Ht9h2bmBgSBl5QbWOsCfqdmExEmCHPbf9nnuv2MGvdXi45pXml2j2+3vE0iW3CnsOFeQjmbJ9TuaBBYjM7v8HUOwrL0rbBj/+GC56pxGiLS37wATLnz4d8e3cJKzeXvS88T4sXXghpPyIiItXtzTff5M033yyz3imnnMLy5csr3d+YMXYy48TERM4777ygr7v88ssZPXo0AJ999lnAoMH+/fu58cYby2xr0KBBtT5ooOUJIhKQZVm8+uMfxcrDXYbTj6nPbX3bMqPvVuYlPBw4YBDbEC7/AK4cc1QFDBbvWsyc7XMcZTecdAPJscm+Y8uySJswwVEn8bwBR9269aSYCM5q18hRFoolCsaYYksU5u6YW+l2Oe0GaONsl0Vvw7YSAmYVFNW2LfWvvtpRlv7tdxxeuiyk/YiIiNRlP//8Mxs2bADg4osvJjIy+GTL3bp1o3Xr1gBMmDCBvLy8KhljbaGZBiIS0E/rUli90znL4MHzjmN4z3bEZu2GqXfCHyWs6e441E4eF9co8Pk6ymN5eH7J846yBtENuLGTMwqdvXoNOd7/xAokDSl7z+C6aGCnpsxev9d3/NPaFLLz3ERHVG4HiV4tevHV+q98x0v3LCUzN5P4yEosJTAGLnkZ3jwL8rO9hRZMuR1umQvhldv5wV+j20aRNnUqnrTC5RB7nn6aNp+Nw9Si5FMiIlI79O3bt1L5f0aMGMGIESOqpO2K9Alw5plnVqrfTZs2kZ5uvxf2z4WwefPmCrdZW+mdh4gUY1kWr8x0zjJIjra4vntLYleMgdd7BA4YxCXDVZ/AFR8cdQEDgO82fcea/WscZbd1uY24COcMgqKzDCJatCC2e7cqH19NNOCkJo40F4dz3czbsK/S7fZo1oMIV+F/8PlWPgt3Bd7+s1watoO+DzvL9q6FeaFdOhBevz6NR410lGWvWEH6N9+EtB8RERGRsihoICLFzP9jP8u3pTrKrmi6h5gvr7KTv+UW3xmBzlfDbYvsHAZHoRx3Dq8sfcVR1iaxDUOPd84g8OTmklbkxi9p8OCj9tPjRvFRdGvj3Gc7FEsUYiNiOb3J6Y6yostGKuzMv0PTzs6yOc9Byu+had+r/jXXEHnMMY6ylOdfwJOVVcIVIiIiIqF3dL5LFZFSvfJj4dR5g4dbo6Zzd8rDhG0JsC48oRlc8zkMfRtiGxQ/f5T4bO1n7Dy001F2d9e7CXc5V4Fl/vijY8o5QNJRtmtCUed3bOo4/uH3PeS5PSXUDl6gvAYhmR4ZFg6DXgPjt4TCk2cvU/C4S76unExkJMkPPuAoy9+9m/0ffBCyPkRERETKoqCBiDgs2rifxZsO+I4fCh/HQ+Yjwj05xSufep295dwJA6txhDVPWk4ab69421F2WvJp9GvVr1jd1CJLE2K7dyeyZcsqHV9Nd35HZ6LM1MN5jtdgRfVu2dtxvC9rH2sPrK10uwA0OwXOut1Ztv0X+OV/oWnfK75fP2LP7OEo2//u/8jbs6eEK0RERERCS0EDEXF47afCXAZtzC5uCQ+whjqxJVw3Hga9DjH1qm9wNdQ7K94ho8iSjftOvw/jv1gfyNuTwqF58x1lSUOHVPn4arqW9WM5uUWSo2x6CJYoHJN4DK0TWjvKQrZEAaDvQ9CgyDaOPzwBqVtD1oUxhiYPPQR+y1esrCz2vvhSyPoQERERKY2CBiLis2zrQeb6JaG7Mmx28Updb4RRP8Nx51bjyGqu7RnbGbd2nKNsYJuBnNz45GJ106ZMBk/htHtXbCyJ5dgzuC4b2Mm5RGH66t14PJVfSlAlWy8WiIiBS5x5LMg7BF/fDSHMEh19wgnUu+wyR1napElkrVodsj5ERERESqKggYj4vPZj4SyDMNxcEe68wcrv+le45CWITqzmkdVcryx7hTxP4d694a5w7jjtjmL1LMsibeIkR1nCBQNxxcZW9RBrhaJ5Dfak57B8e2ql2+3Vwhk0WLF3BQezD1a6XZ9je8Fpw51lf/wAK74IXR9A4zvvwBXn3IVjz9NPVckWViIiIiL+FDQQEQBW7Uhj5toU33Ff13Ia47y5yj/l2uoeVo22et9qvtv0naPs6hOuplVCq2J1s3/7jdyNGx1l9YbU3aUJlqd8iQyPS47nuOR4R9n0VZVfonB609OJCY8pHBcWC3YuqHS7DgOehHhn0INpD8Ghym8dWSC8USMa3nKLoyzr1yVkzPg+ZH2IiIiIBBJedhURORq87pfLAOC6SOfa74OxbYlu3KE6h1SjWZbFc78+5yhLiEjgls63BKyfWmSWQUTr1sR07VpVwwsZy7LIz8khKzOdrIwMsjLSyc5IJyszg+yMDLIy073/ZpCVnk52ZjpZGenkZmUREZ/IrmNb07bzqUH1NbBjU15LKXwdTlu9m4cuOLFYbojyiAqL4oymZzBr+yxf2Zztc7io7UUVbrOYmHpw0fPwuV9QLeuAHTi4LHSJERsMv4HUzz8nb8cOX1nKc88R368vrsjIkPUjIiIi4k9BAxFh/Z4MvvP7VLcxqfRhqaPOloZ9OKG6B1aDzd4+m1/3/Ooo+1vnv1Evul6xup7sbNK//dZRVm/I4ErdDFeE5fGQffiQfdNfEADILPJvQQDALzjgzssru/EA8jLTmfbqc9z8+geEB3FTO7BTU0cizi37D7N2dwYdmlVuOUyvlr0cQYP5O+fj9rgJc4WVfFF5dbgYOlwKv08pLFv5JZx8BbQ/PyRduKKiSL7vXnbcfY+vLG/bNg6OGUPDm24KSR8iIiIiRSloICLFZhkMi56Pi8L95vNdkeyo30NBA698Tz4vLnnRUdYsrhnDOgwLWD/j+x/wZPjtrmAMSYMHV2oM7vw8sjIyfDf2vhv+QLMAvGU5mZlYVvmWDVRWVnoaaxfMoVPfshNndmyeSIt6MexIzfKVTVu1u/JBgyJ5DdJy0li5byVdkrtUqt1iLnwONs2G7LTCsq/vgdsWQlRCSLpIGDiQmDGfkLW0MKi37403SRo8mPCGDUPSh4iIiIg/BQ1EjnKb9h1i6m87/UoshkfPhezCkp31upMfFlPs2qPVxD8msjHNmZ/g9lNvJyosKmD9tIkTHcdxZ55JRLNmgD39Py87yw4AeG/+s7wzAbIz0x3lheczyMvOCtRVjbT0uyl07HNOmTMrjDGc37Ep78/f5Cubvno3dw9oX6n+m8U347h6x/FHamFwbM72OaEPGiQ0gfP+D6b8vbAsfTvMfBIufDYkXRhjaPLwQ2y+4kpfmefQIfa+8irNnng8JH2IiIiI+FPQQOQo9/pPf+C/s12vyD9okO3cZ35Lwz7VPKqa63DeYV5f9rqjrEODDlzU9iI8HjfZmZnem3v7pj9z61a2b1hDbtMG5IWHkRvmwsS5yL/vNl8gwJ2ff4S+mvIxLhfR8QnExCcQnZBITEICMQmJdpnv3wT279zJ/HEf+q7bu3kjO35fTcuTOpXZx8BOzqDB2t0ZbN53iDaN4kq5qmy9WvZyBA3m7ZgXcJeLSjv1Olj5BWzyywmy+F3odDm0PiMkXcScfDJJgy4lbXLhUojUL7+k/rBhRJ9QuQCLiIiISFEKGogcxbYdOMzEZTscZQ80WQx7C489DdpxIO7ouxHJz831m96f4UvwN2v9D7Td6qFDXkOicl1E5YXROiKaNycOI/vwIQi0BV7zItPGU3ZVzxdRivDIKKIT7ABATEIC0fGJxHgDAfbzBO95uzw6IYGomFiMq+xNd1ocOsTiqRPIy0z3lS39bkpQQYOux9SnUXwk+zJzfWXTV+/mlj7tKvaFevVq0YsPVn3gO/79wO+kHE4hOTa5Uu0WYwxc8jK8cRbkF8wGsWDK7XDrXAgPPBulvBrffTfp02dgZXunBHk8pDzzDK3e+1+158oQERGRuk1BA5Gj2Juz/8TtN82gYUQ2nQ7+5KjjPvlqSK+9NyGWZZGbddix/t8/D4CzPMO7S0A6+Tk5JbbZEeca+2wOVPWXUaqouDhi4hN9QQB7FkCiY0ZA0dkAEVHRVTYe43KRdEJH9i352Vf2xy8LSUvZQ1Jyk1KvDXMZBpzUlHGLC2e7TAtB0KBLchcSIhLIyCvMLTF/x3yGHF8F2142aAv9HoHv/1lYtm8dzHkO+v8jJF1ENG1Kw5tuYt/rhbNeDi1YQObs2ST07RuSPkRERERAQQORo9autCy++nW7o+yJtusxWw4XFpgw8jtdBQuWV+/gSuBxu31T/wu3+vNL9ldCHgCP21124zWAKyys2M19dHwiMYkFAYAEv+BAYTDAFRbCXQBCJLFte/b/9itWvr3zgmV5WDb9a/peX3aW/4GdnEGDZVtT2Z2WTdOkigc6IlwRnNn8TGZsmeErm7N9TtUEDQB6jIJV42HX8sKyeS9Ax8HQpGNIumh4019I/fJL8lNSfGUpz4wm/uyzMRERIelDREREREEDkaPU27M3kusuzKQfGe7ivJwZzkrtz4f4EE/f9srLyQ6Q5M/7qX+RGQEFwYGcQ4eqZCxVISIqmgi3m/D0TCLcbiLz3UTHxZN89dXEJiYVzgLwmw0QGRNbZ6aWuyIiSWx3AmnrVvnKVv04g7OuGEZkdOlJNc9s25CE6HAysgtzPcxYs5sbzmxTqTH1atnLETT4edfP5LnziAirghvssHAY9Bq83Qcsb9DKkw9T7oCbZkAItnt0xcbS+J672fXQw76y3E2bOPjZ5zS4/rpKty8iIiICChqIHJVSMrIdn+QC3N4xj8h1S50VT72+zLYsj4ecw4cDfPJfmAfAfwZAQRAgP7fk6f81ijFEx8aREZ7NQXOInAg3OZEe8qMMV3e5jkYNmgfMA+DKz2dDz154DhfO3Gh873U0uqrs72ldUa99R9LWr/blecg5fIg1s3+ky/kXlXpdZLiLc05MZtLywl09pq2qfNCgZ4uejuNDeYdYlrKM7s26V6rdEjU9Gc6+055hUGDHr7DobThzVEi6SLr0Ug5+MpbsVYXBmX2vvUbSJRcTVq9eSPoQERGRo5uCBiJHoffmbiInv3CWQbjLcGPsPGel+CZw/HnkZWSSvnE9uWkH+XHbH+QVzQ+QmYHl8VAbuMLCCzP+O6b6++UB8A8AxCcQHR/PkpSl/GX6Xxxt3dz5Zs45teSp9qnffusIGOBykXTpoKr60mqkiIRE2pxyGpuXL/GVLZ02lVMGXFBmQsWBnZo6ggaLNh3g4KFc6sdFVng8jWIa0bFhR1bvX+0rm7N9TtUFDQD6PAi/T4H9hTs38OO/4cQLoX6bSjdvXC6aPPwQW64tnFngTktj7xtv0PSRRyrdvoiIiIiCBiJHmQOHchmzcIuj7MouTYhf95Wz4inXYLnCmP7686SsWAZAajWNMRgR0TElbvnnnwfAkfwvOqbc0/89lofnf33eUdYgugF/6fSXEq6wpU2Y6DiO63k2EU2qZqlHTdb5vIscQYODO7ezecUyju3StdTrerdvTHSEi+w8OyDl9lj88Pserji9VaXG06tlL0fQYO6OudzX7b5KtVmqiGi45BX48MLCsrzD8PXdcN0Ee7eFSort2pWEgQPJmDbNV3bw03HUv/oaotoeW+n2RURE5OimoIHIUeaD+Zs4nFuYGNBl4O5j/oA1+50VT72eP5csZqs3YFBVjHERFR9feINfZAaAr8xv/X90fALh1ZTobdqmaY6bTIBRp4wiLiKuxGtyt2/n8OLFjrJ6Q4dWyfhquhYdOtGo1THs21YYqFr63ZQygwaxkeH0ad+Y6av3+Mqmr95d+aBBi1689dtbvuONaRvZnrGdlgktK9VuqdqcDV1vhCWFWz7y54/w22fQ5ZqQdJF8371kzpyJlWcnniQ/n5Rnn6XVm2+EpH0REanbZs2aRb9+/QB47LHHePzxx0ut/8QTT/jqJCYmsmfPHqKjS09YPGLECD766KMKj/Gnn36ir3eHoFC2JWVT0EDkKJKWlceH8zc7ygZ1aUHjDf92Vmx9FlaDtsx/+sVytR8WEeFI8Od/w++cDVCw/j+R6Ni4MqeqHym57lxeWfaKo6xNYhuGti89AJA2cZLj2JWURLz3P+KjjTGGUy+4hO/fec1Xtnn5Evbv2EbDFqUHAAZ2auoIGszZsI/MnHzioyr+X1enRp1oEN2AA9mF22TO3TGXa04Mzc17iQY8AeunQcauwrLpD8Nx50J840o3H9myJQ1GDGf/u//zlWX+9BOHfv6ZuDPPrHT7IiIi/j7++GPf8/T0dCZNmsTVV19dpX2GMll0XUk8XV0UNBA5iny0YDMZOYUZ6Y2BO0+PgTEznRVPu561C+Y4Ph0GOL7H2TRu1SZgHoCY+ETCo6Lq1B/hcWvHsSNzh6Psrq53EeEqeZaD5fGQNmmSoyzpootwRUVVxRBrhQ49+zL304/IzszwlS2b9jXn3jSy1Ov6n9iEcJch32MnUszN9zBrXQoXd25e4bG4jIuzm5/N1I1TfWVzt1dD0CA6CS56AT7z6yfrIEx7EC5/PyRdNLzlFlInTMS9v3DW0J6nn+HYCeMxNXBbThERqZ3mzZvHxo0bAYiPjyczM5OPP/64zKDB//3f/3HffcEvCfzf//7Hyy+/DECXLl0444wzqqQtKZuCBiJHicycfN6fv8lRduHJzWizfTJgFRZGJuBufxELHnL+IY6s14Bzb76D2LiSp+XXJWk5abyz4h1H2WnJp9G/Vf9Srzu8+BfydjgDDUlDhoR8fLVJRFQ0nc85n8WTC/NmrJk9k55XX090XHyJ1yXFRHDWcY2Ys36vr2zaqt2VChqAndfAP2iwePdisvOziQ4vfVplpZ14IXQcAqv98l2sGg8nXwknDKx082Hx8TS+4w52P/aYryxn3TpSx4+n/pVXVrp9ERERKJxl0KRJE+666y4efvhhZsyYwZ49e2jSpEmJ17Vo0YIWLVoE1cfSpUt56y17OWFiYiJffvmlY/lDKNuSstXMOcEiEnKfLNxC6uE8R9nf+7aFZWOcFU++jNULfiZ1zy5HccPOp9fYZQRV4d0V75Kem+4ou/f0e8ucSZE2cYLjOOr444nu1DHk46ttTjnvIsfrJy8nm1U/zijzuvM7Ot98/LQ2hew89/+zd9bxUV3p/3/fsczEPUBw9+AerFCcYpWtu1LX3f3ubrfd327bLd0KdS/1UpyiLe4SIMEdkhDinklG7u+PCZk5EYjMRM/79cqL3M895zknYTJz73MfqWB05RjWYhgaxbmXQlshe5L21MhmpZn0BhgDRW3lM2DOLnd4VQmcMxuvLl0ELeWdd7Hl5rrFvkQikUiaNmazmV9++QWAm2++mTvuuAONRoPNZuO7775zyxqZmZnMmTOHwkJHe+7PP/+cjh071rmtpkyt3QEoitJGUZR5iqIcUxQlT1GUdEVR9iiK8ryiKN5uXmucoihfKYpyqnitLEVRTiiKslBRlEcURan40ZZE0ggpKLLx2ZYzgja+ewTdzAcg84KgW3r+iR2//iBoXiHheEe29vQ26w3xOfF8f+x7QZvQdgK9w3pfdZ4tN5fsNeKNcMCsWY0qZaO6+IeG0WnwcEGLWbMSu/3qDoDx3SOEBgN5RTa2nUqt0V4CvALoE9ZH0DbHb66RzUrjGw4T/i1q2Qmw/mW3mFe0WiJeelHQbGlppH38sVvsSyQSiaRps2zZMjIzMwG4/fbbiYyMLCmg6FrnoCbcfffdnD3riI59/PHHmTNnTr2w1ZSpFaeBoijTgEPAM0AXwBsIAgYAbwAxiqLU2OWjKEqQoihLgHXAXUCH4rX8gU7AbOADQLqXJE2KH3ZfIDW3SNAeH9sR9peKMgjvzsHDl8hNFzsphPQZ2KRufN+LeQ+L3RmVodPoeLLvk9ecl7N6NarZ7BS0WgKmTfXEFhsk/SZNF46zUy5zeu+uq84J9zMyoE2QoK05nFTjvUS3jBaOtyRsQVXVCka7mT63QvtShTH3fg7nd7jFvM/QoWUKb6Z/9TVF8fFusS+RSCSSpssVx0CXLl0YOHAg4HAeABw8eJDY2Nga2X/zzTdZunQpAIMGDeLNN9+sF7aaOh53GiiK0hf4CceNey7wV2AYcB3wafGwzsBKRVH8arBOAA5nwQ3F0mLgNmAIMBCYBbwDyKsmSZPCbLHx8ebTgjaqcxi9Q1Q4ulzQC7vfwq4lvwhayx698I6oWQ55Q+Jw6mF+O/uboN3S5RZa+V+71V9mqa4JvqNGoQsNdef2GjQtOnclon0nQdu/atk1503o0Uw4XnfkMlabvUZ7iY4UnQYJuQmczT5bwWg3oygw7W3QlwqyW/Y4WMzlTqkq4S88Dzpn2SLVYiH5zXlusS2RSCSSpklycjJr1qwB4LbbbivRZ8+ejclkAqhRG8Rt27bx5z//GYCgoCB+/vlnDAZDnduS1E6kwTuACbAC16uq+m9VVXeoqvqHqqoPAi8Uj+sMPFuDdd4D+gOFwA2qqs5SVfV7VVV3qaq6V1XVxaqqPgW0BuJqsI5E0qBYuC+ey9mFgvbEdR3h0C9gc9E1evZf8sWcI+ZWD57t4ary9QhVVZm3T7yx8tP78VDvh645t+jcOQr27RO0gJkz3Lm9Bo+iKPSfLEYbxB+JI/ncmQpmOCjtNMjIt7D7XHoFoytH56DOhHuHC9qW+C01slklgtrCmL+KWtpJ2Pxft5j3ateOoFvFv92c1avJL/UalUgkkoaKalcpyCmq0pc514I511LlefXlS7XXUkRcBXz//fdYrY4uXFeiCwD8/PyYPn16yRibreq1h1JSUrj55puxWq0oisLXX39NmzZtqrVPd9qSOPBo9wRFUQYBVx7nfK6qanmxl/OAe4BuwJOKovw/VVUt5Yy72jojgDuKD/9PVdUKH12pjvhTa0XnJZLGhMVm58ONYpTB0PYh9G8TDKvEvLOCdpPYu2a1oHUcOMTxZPhULT2BrWM2x28uUxDv/t73E1i6cF05ZJZqs6gNCsJv1Cg37q5x0HnoCDZ99yV5Gc6b/v2rljHxkacqnNMq2Juekf7EJTgdWmvikhjWofpRHIqiEB0Zza8nfy3RtsRv4a4ed1XbZpUZ8oije0Lifqe27W1Hh4VmPWtsPuzRR8laugx7VlaJdvk/r9H255+aVFFTiUTSODHnWfji+a11vY1a5d7/jsDkV3dPy6+kJgwbNox27doJ5+644w5++uknLl26xLp165g4sfJdgex2O7fddhsJxd2nnnvuOaZNm1atPbrTlsSJp68aZrh8/2V5A1RVtQNX7l4CgTHljbsGc4v/zQLmV2O+RNIoWRyTQEJmgaA9fl1HuHQQksScs91Z7SkqcBmrKAy/6XaaCla7lf/t+5+gNfNpxq1db73mXNVmI2vJUkHznzYVRYbBlUGr0xM1fpKgHdu6kfyszKvOm1gq2mDN4cvYa/jEpXRdg33J+8gtqsUuAxotTH8PNC7+e7sVls2FaxSIrAzawEDCHntM0MxxcWQvX17BDIlEIpFIyicuLo6YmBhAjDK4woQJEwgLCwNgwYIFZc5fjVdeeYV169YBMGLECP79739fY0bt2JI48bTTYETxv3nA1WIiN7l8P7zCUeWgKIoBZx2Ddaqqmot1raIorRRFaasoimzEKWlyWG12PthwStD6twliaPuQMgUQc41tOLBTdCJ0GzGa0NZtPb3NesOSU0s4nSVGZTzR9wmMumu/feTt3Ik1SSzOFzhrllv315iIGjcJrUu+vc1q5eD6VVedM7Gn6DRIyjZzMD6zRvsY2nwoOpcbdqvdyq5LVy/M6Haa9YQRT4taYgzs/NAt5oP+dAuGUk+Dkt/6H/b8fLfYl0gkEknT4EqtAr1ez0033VTmvE6n4+abbwZgyZIl5OTkVMruunXrePXVVwEICwvjxx9/RKerXjC8O21JRDztNOhW/O8pVVWvlhJwrJw5lSUKuHJVH6soir+iKG8DqcAF4CyQpSjKOkVRRlfRtkTSYFkZe4lzaeKNweNjO6JYzRD7s6DvLByI1eLsrqDRahk259pP2BsL+ZZ83j/wvqB1C+7GlPZTKjU/a9Fi4dirWzeMXbu6bX+NDe+AQLoOHy1oB9f+hs1acWZax3A/2of5CNrqGnZR8NZ7MyBigKBtTqil1ouuRD8HIWKBSP74F6TXPC1I0esJf/EFQbNevkza51/U2LZEIpFImgY2m43vv3e0op40aRIhISHljrvjDke2eH5+PgsXLrym3YSEBG677TbsdjsajYZvv/2WyMjIau3RnbYkZfGY66X46f6VhNOrdixQVTVDUZQ8wAe4dolyke4u32uAvTjaK7piAMYB1ymK8mdVVV+v4hooitLyGkNKHoMVFBRQUFBwtbF1htmlHZzr95LGhV1Veff3k4LWs4Ufg1r5UnRoEQazM8c5o8hI7NkUYWy3kWPxCgikoKCgSbxmPjv8GakFqYL2WK/HKDQXVjDDiS0nh5z16wXNZ+rUevseUBtU5jXTY+z1HN7k/L3lZWYQt2kDnYdFlzseYFyXUD5JySs5XhV7iSdHtalRO9Ah4UPYeWlnyfHmi5vJz8+v9Rajmolv4vXdDU7BWoBt6RMU3fyTo9tCDdAOGoRxyBDMO50/Z9rnn2OcNhVdRESNbLuLpvA+I3Ev8jXTuLHb7SVtcO328rvlGExa7n59WJVs5uU5PkN8fHzQNMDaLgaTtsLfR01xtauqqnC8du1aEhMTAVi2bFmlPiO/+eYb7rqr4jpBVquVm2++mZQUxzXoX/7yF8aNG1etn8+dtlxxne+p33t5XPn9V/ZasjauOT0Zr+HaPrEySaJXnAa+VVwn2OX7F3FEHawG/g4cwtHqcTbwGhAAvKYoyjFVVZeWNnQNLlZ24ObNmwltAG3WNm+ugydqklrhQJrC6RStoA3xy2TdunUMOzmfMBd9Y2Zv4Y1Q0WrJCwhj7dq1Zew2xtdMjj2Hr7PF9kCddJ3IPJjJWsr+DkoTsHMXEYVO54Kq1bLbZMRezu+vKXK114wxvBnmZGe0wJaFP3A2p+Ibdr9ccP3YupBewNdL19HCu9zhlaNU6YBUcyrfrPqG5rrmNTBaPXqHXke71N9LjrXnN3P0x79zMaRiR0plMQwdQptdu1CKL8JVs5kjf/kLScWhpPWJxvg+I/Es8jXT+AgJCcFkMqEoCtnZ2deeUBkUMPrqAbBRhK1uGxFUC0uu5xxk+S5pa4WFhcLv/Ysvqh6dtmnTJg4fPkyrVuU/D/7b3/7Gtm3bABg1ahRPP/10tf+v3WmrInJza6fmkdVqLXkAfezYsWtPAFJTU689qIZ40mngmghcVOEoJ1euuk1VXMc1XtUIrAOmqqp65VIwBfhIUZQ4HLUTNMB/FEVZpl5xYUokjQhVhbXxove8hbdKjyAV78JkwnKPlOiphd6cSfMSxgZ07oHOWwwDb8z8Yf6DIpe3KAWFCaYJlZ7vv3evcJzbrSt2n6bz+6sJgV16kuTiNChMT8GcmowprPyn3618INCgklnkdCocSlNo4V39t/IQTQjBmmDS7c5uDsetx+vEaXCkxU00y4rBZHHupWfC9yT796ZQH1Aj20XNmpE1aBCBu5w1G/z3x5AxbBiFFVzQSSQSiUSSk5PDb7/9BjhuyK+kIFxt/NNPP42qqvz0008899xzZcasXLmS+fMdteubNWvGp59+Wu3ID3faklSMJ50Grq6wypQQv3LnUtX4itIutxddHAYlqKq6VVGURcAcHHUTeuGIRKgs17qqagbsARg5ciQtW14rm6FuMJvNJR75kSNHYjTKGpGNjQ3HU0nYKb60n5vck4k9ItBtFjNztqV1FI71RhMzH30Sk59/idaYXzNns8+yf81+QZvabip3DryzUvOLzpwh8aIYhNThgQfoNXKk2/bYEKnsa8Zut/HdkYPkpDnTY0xZqVx/W8UXJPvUEyzY5cx4O2sJ4PrrB9Vov7H7Y/n5lLPOR7JPMtdfd32NbFYXTScT/Op8/RlseYyzrMUy5dMa27YNGED8DTNQXZ6WdN66jWZffF7r6RilaczvMxLPIF8zjZsLFy5gs9nQ6XT4+/tfe0IlsNvtJU+LfX195Y1lKby9nWF7Xl5eJb/3X3/9tSQK4bHHHmP27NnXtPXVV19x8OBBFi5cyCuvvCKcO3PmDHPnOhrfabVafvjhBzp06FCtPbvTVnnUxWsmJSUFk8mEr68v/fv3r9Sc+PirVgJwC550GriWzKxMysGVR3NVjf1wXSdFVdWYq4xdg8NpADCQKjgNVFW96v+G6wWXyWTCZKpqwETtYzQaG8Q+JZVHVVU+3nZB0DqE+XBDvzZoscNh541RUoEvp7LEp5cDps4kOLziHOfG9pr5cPuH2Fx8jEatkSf7P1npnzFnlVjxXxsaSvB116HISr0lXOs103fSNDZ/6wx7PL13J9b8PPxCyk/xmhrVUnAaHLucS3K+nTYh1Y/uGNN2jOA0iEuPo1ApJNAYWG2b1abXDXB8NsT9WiLpji9Hd/4P6Fq5wpwVEhlJ2MMPkfzmvBKp8MABrJs341+FftqeprG9z0g8j3zNND40Gk1J6qQnbtQ0Go10GpTC9fehKErJ8bfffgs4nApTpkyp1O9tzpw5HDx4kOPHj7Nnzx4GDx4MONIebr75ZjIzMwF49dVXGT16dLX2605blaE2XzNXfv+VfV+rjfc/j13ZqqpqVhQlDQgBrvrYXVGUIJxOg0rXDihn/LXcLK5jwyocJZE0ULacTOXgxUxBmzu2I1qNAif/gOyEEn1rSlthnNHPn/5TZnh+k/WEPUl72Bi/UdDu6H4HET6VKwynWq1kLV0maAHTp0uHQRXpNeZ6tv/yHdbiuhCq3c6BtSuJ/lP5xZMGtA0mxMdAWp4zpWTN4SQeHFn9JwsDmw3EqDVitjkC1+yqne2J25ncfnK1bdaIia/D6T+gIMOprXwW2o4AY83SFILuvJOMn37G4hIhk/zfN/EdMwaNl9dVZkokEomkqXHhwgU2bdoEOLomuEYjXI3Zs2fzt7/9DXAURLziNHjyySfZv98R4RkVFcXUqVOJi4ur9H7Cw8MJDw93uy3JtfG0u+RK8nRHRVGudiXt2pvsaBXXOOzyvbbCUWXPX60FpETS4FBVlff+EDsmtAnxZlrvFo6D/d+U6BfyAjifFySMHXzDHLwq+WHQ0LGrdt7a+5agBRuDubfnvZW2kbdtG9YUsetE4MwZ7thek8Lo60uPkdcJ2qHf12ApKr9zhVajML676NhZHVez1oteWi8GNx8saHXSevEKvmEw4T+ilnMJ1v2jxqY1BgPhpfJLLQkJpH/9TQUzJBKJRNLUuBJBvWDBgpIuFnPmzLnaFIFu3brRvbujwd1PP/1EUZHD0f/xxx+XjDl48CC9e/emV69elf764IMPSua705bk2njaabC1+F8f4GpJGaNcvt9WlQVUVT0PXInHbqtcPTHT9VFUQoWjJJIGyK6z6ew5lyFoj47ugE6rgbxUOO4IpVfVslEGvkHBRE2oYehzA2LNuTXEpYne6EeiHsHXUPnmLZmLFgvHxl698OpUuturpDL0nTRNODbnZHN0y8YKx0/o2Uw43n8hk8vZNasoHR0pdijYlrANm71MeZzaI+oW6DBW1PZ9Cee2lj++CvhdPx7vAQMELe3jj7HWQvVliUQikdRPrtzYg7O+wYIFCwBHjYMpU6p2nXil9kFaWhorV6500y4ldYWnnQZLXL6/p7wBiqJogCtVnzKBDdVY50rypz9w3VXGzXL5vuZXXhJJPaJ0lEFkoImZfYszgw7+CHYLAGdyg7lUIBYVGjL7T+gNTSM0uchWxDv73xG0tv5tmd352oV9rmDNyCD3jz8ELXDWTLfsrykSEtmKtlH9BC1m1TIqanAzrEMIfl5i8NraI5drtIfolqLTILMws4xjqVZRFJj6NuhL1WpY9gRYataPWVEUwl96ybFGMfa8PFLeebdGdiUSiUTScMnIcD54CgpyRKMeO3YMVVUxm834+flVyd4rr7yCqqqoqsrMmY5rpCvH1f16+eWXS+y705bk2njUaaCq6m5gS/HhfYqiDC1n2LM4uhkAvKOqqsX1pKIooxVFUYu/vqpgqbdxdlF4S1GUMmVWFUW5HRhdfLhSVdWq1k6QSOot+85nsO1UmqA9PKo9Bp3GEVoQ4/AUqypsS2kjjAuIaEbPMeNrba91zY/HfiQhVww0eqrfU+g1+krbyF75G6rF+ValGAz4T66j/PdGQr9J04Xj1IvnuXi4/Fq1XjotY7uJeYhrapii0MK3BR0DxW4im+PruPd7UBu47m+iln4aNr1RY9Omnj0IuOEGQcv89VfMx4/X2LZEIpFIGh6HDzszvrt27XqVkZKmSG2UgHwSRxtFHbBWUZQ/K4oyRFGUMYqifAxcufo5AcyryMjVUFX1AvD34sNewG5FUe5RFKV/8TrvAV8Vn88Gnq7mzyKR1Evml4oyCPfz4sYBxV1C4/dCyjEAjmeHkVIohuAPv/E2tE2keF9WYRYfH/pY0PqG92Vs67EVzKjAzmIxNcFv3HVoA2pWoK6p0zaqH0HNIwVt/6plFYyGiT3EFIUdZ9LIzC+qYHTlKJ2isCV+SwUja5FBD0KkmErAtnfgUlU6BpdP2NNPo7hWXLbbufzaaxVGeEgkEomkcVJYWMgPP/wAgL+/PwNKpbBJJB53GhS3QLwZx826L/BvYAfwB/Bg8bATwBRVVXPKNVK5df4LvAaoQBfgC2Bv8TpzcRRBTAYmqqp6siI7EklDIzY+iw3HxYJ8D45sj1FfXPczxlHgzKYqZaIMQlu1ocvwkbWyz/rAZ7GfkV2ULWjPDni2Sj3qzcdPYD58WNACZsrUhJqiaDRlog1O79tNZtKlcseP6hKGl875EWazq6w/mlyjPZROUTiafpSU/JQKRtcSGi1Mfw9cI2FUGyybC7aa1fPVR4QTcv99gpa/Yye5GzbWyK5EIpFI6j9paWkcPHiQpUuXMm7cOE6dOgXA/fffj9ForOPdSeobtdJsUlXV5UBv4H84HAT5OOoX7AVeBPqqqnrKDev8GRgOLADOAYVAFrAH+BvQWVXVHTVdRyKpT8zfIPrAQnwM3Dq4teOgMBfiFgFwODOcTIvYx3XYzbej0Vyr6UjjICE3ge+Ofido17e5nqiwqCrZKR1loAsPx2fYsBrvTwLdR43Fy9slh19ViVm9vNyx3gYdozqLnXNr2kWhT3gffPViJM7WhHpQ/iaiO0Q/I2qXDsLOmld+Drn3XnTNxKiN5DfeQC2qWdSGRCKRSOo3CxYsoE+fPsyYMYOtWx2fdUOGDOGf//xnHe9MUh+pFacBOLocqKr6jKqqXVRV9VFVNUhV1YGqqr6hqmr+VeZtVFVVKf66uxLr7FBV9U5VVdupqmpUVTVQVdVBqqr+S1XVLLf+UBJJHXMsKZs1h8UCcPdFt8PbUJxucGQJFOVitSvsSBWjDJp16ETHAUNqaad1z3sx72GxO+sQ6DQ6nuz3ZJVsqBYLWcvFm9iAG25A0TYNx4unMRhN9Bx7vaDFbVxHYX75HxETS3VR2HwyhbzC6j9912v0DG0hlt7ZklAPUhQAop+F0C6ituHfkH6mRmY1JhPhz4oOiaJz58j48cca2ZVIJBJJ/UdRFAIDAxk6dCj/+9//2LhxI76+le8kJWk61JrTQCKRuJ/3N5wWjgNMeu4Y4uIc2O8ogHgwszm5VrE7wohb7qpSWH5D5nDaYVaeEdv93NzlZlr7t66SndzNm7GliQUnA2TXBLfSd8JUHE11HBQVFHB40/pyx17XNQKdxvkaLrLa2Xi8ZukEpesabE/cLjib6gydlyNNAZe/WWsBLH/SUeG0BvhPmYKxd29BS5n/PtaMjApmSCQSiaSh89RTT2G328nIyGD79u089dRTeHk1jU5akqojnQYSSQPldEouKw4lCto9w9viZyzOfU45ARd3UmTTsiu1lTCuVY/etO5VtbD8hoqqqry19y1B89X78lDvh6psK7NUaoKpb1+82rWr0f4kIgHhEXQYMFjQYlYvR7Xby4711jO0Q4igrTlcsxSF0nUN8ix5HEg+UCObbqP1YBj0gKid3VzSHaW6KBoNES+9JGj27GxS3695+oNEIpFIJJKGj3QaSCQNlPc3nBIeMPp66bhnmMsNbPGNxP6MFhTYDMLcEbfc0WSiDLYkbGF30m5Bu7/X/QQZg6pkx5qWRu7GTYIWMHNGTbcnKYd+k8WCiJlJlzgTs7fcsRNKdVH441gyhVZbtdcONYXSPaS7oNV560VXrvs7+LcUtbX/Bzk1c5Z49+uL/+RJgpbxww8UnqlZ+oNEIpFIJJKGj3QaSCQNkAtp+Sw9IEYZ3DWsDQHexVEGNgsc/IECm449aeINRvv+g2jRuVttbbVOsdqtZaIMmvk047Zut1XZVvaKFWB15ssrRiP+kyZdZYakurTs1pOwNmIER0XtF6/vHoGr/yu30Mr2U2nljq0s9bL14hW8/GDa26JmzoLfnq+x6fBnn0UxuDgYbTaSX3+j4gkSiUQikUiaBNJpIJE0QD7cdAqb3RlmYNJruXe4y03WiTWQl8KetJYU2XXC3BE331Fb26xzlp5ayuksse7D430fx6irWishVVXJXCSmJviNH4/Wz6/Ge5SURVGUMu0XL8QeIPXi+TJjw/2N9G8tRo3UtItC6RSF01mnSchNqJFNt9JpPPS6UdSOLoOj5XeaqCz6yEiC775b0HI3bSJ327Ya2ZVIJBKJRNKwkU4DiaSBkZhZwMJ98YJ2+5DWhPi6FK+JWUCuRU9MegthXNfho8o8wW2s5Fvyef/A+4LWNbgrU9tPrbKtwqNHKTx+XNACZQFEj9J1+ChM/gGCFrOq/Jvi0l0U1h29jNVWtgZCZekZ0pMgL9ERsTW+HrRedGXia2AKFrWVz0FBZo3Mhjz4INrQUEFLfu11VGv1u1JIJBKJRCJp2EingUTSwPh402ksNmeUgUGn4YHo9s4B2Zfg5Fp2pbXGqjpbASoaDcNuvLU2t1qnfH3ka1IKxEr6z/R/Bo1S9be90lEGuhbN8R48uILREnegMxiIGjdR0I5s2UBBbk6ZsaXrGqTnFbHnXPUr/2s1WoZHDhe0zQn1qK4BgE8oTHpd1HKTYN3fa2RW6+tD+FNiK9LCkyfJXPhrjexKJBKJRCJpuEingUTSgEjONvPDnouC9qeBrQj3dwm3P/g9WYV6DmWIN1I9x4wnqHlkbWyzzkktSOXLuC8FbXiL4QxtMbTKtuxFRWQvF59wB86YgaKRb5+eJmr8ZDRap+PLWlRI7O9ryoxrFexN9+b+glbjLgql6hrsvrQbs9VcI5tup9eN0HG8qO3/Gs7WrAZDwMyZeHUT656kvPsutpyyDhuJRCKRSCSNH3nVK5E0ID7dcoYiqzPsWq9VeGhUB+cAVYWYb9mR2ga7y5+3Vq9nyKxbanOrdcqHBz6kwFpQcqyg8HT/p6tlK3fDRmxZWYIWMGNGTbYnqSS+wSF0HjJC0A6sWYndVrY7QukUhTWHk1Bd24tUkeGRw4WoFLPNzN7L5XdwqDMUBaa+BXofUV/+BFgKyp9TGbNaLREvvihotvR0Uj/6qNo2JRKJRCKRNFyk00AiaSCk5Rby7c4Lgjanf0taBJqcwvltpF1K4khWuDCuz/WT8Q8Nq41t1jlnss7w60kxlPqGjjfQJbhLtexlLVokHHsPGIChdetq709SNUq3X8xJS+Hk7h1lxpV2GlzKMnMoPqvMuMoS4BVAVFiUoNWr1otXCGwN4/4haulnYON/amTWZ8hgfK+7TtAyvllA0cWLFcyQSCQSiUTSWJFOA4mkgfDFtrMUWJxPWLUahUdGdRQH7V/AtpQ2qDh70OmNJgbNuKm2tlnnvL3vbWyq8/dk1Bp5rM9j1bJlSU4md6tYAC9g1qwa7U9SNZp37ELzTqLDp7z2i53CfWkfKj5xX+3mFIUt8VtqFL3gMQbeDy0Hidr2+ZB4oEZmI55/DvT6kmPVYiH5v2/WyKZEIpFIJJKGh3QaSCQNgKx8C19vF9vN3dCnBa1DvJ2COYukves4mSNWPu8/5Qa8S1Whb6zsu7yPDRc3CNod3e+gmU+zCmZcnezly8ElFF7x9sZ/wvU12qOk6pRuv5h4/AiXz5wSNEVRmFAq2mB1XM1SFEq3XozPjedc9rlq2/MYGi1Mfxc0zht8VBssexxs1e96YGjbluBbxeKpOWvXkr9nT7VtSiQSiUQiaXhIp4FE0gD4cvtZcgudF/+KAo+NKRVlELuQbUniTZPR24cBU5tGa0BVVZm3d56gBRuDubfnvdW2l7lY7JrgP2ECGh+fCmZIPEWnwcPxDQ4RtP2/LS0zbmKpLgpnU/M4mZxb7XW7BHUh3CSm+myJr1mRQY8R3g1GPidqSYdgx3s1Mhv66CNoAwMF7fJrr6Paq9/SUiKRSCQSScNCOg0kknpOjtnCl9vOCdrU3i3oEOYraBf/+I5zeWLf9oEzbsTLu2nc5K45t4bY1FhBezjqYXwNvhXMuDrm2FiKTp0WtICZM6q7PUkN0Op09Ll+iqAd276FvEyxrWLvlgE0DzAK2uq46qcoKIpSJtqg3rVedGXEMxAmdj1g42uQdrr88ZVAGxBA6ONzBc18+DBZS8umiEgkEolEImmcSKeBRFLPWbDzPFkFFkF7bEwH4Vi9FMvWo+IYH19v+k6c6vH91QeKbEW8vf9tQWvj34Y5nedU22bpKAN9q1Z4DxhQbXuSmtF73ER0ekPJsd1m5cDa34QxiqIwoUfZFIWaULquwb7L+8iz5NXIpsfQGWD6e+BS0wSrGZY9ATWIDAi6+WYMHcT3nJS33sKeV09/DxKJRCKRSNyKdBpIJPWY/CIrn205K2gTekTQtZnYk/7sig9JLBDrFgy58Q70XuJT18bKT8d/IiE3QdCe6vcUetcc7ypgLywke6V4Qxow4wYUjXzLrCtMfv50ix4taIfWr8JqEZ1lpZ0GRy5lczE9v9rrDmkxBJ1GV3JstVvZeWlnte15nFYDYfBDonZ+K8R8U22Tik5HxIsvCJo1JYW0zz+vtk2JRCKR1C82btyIoijlfnl7e9OmTRtmzJjB999/j9V67Xo5p0+f5pVXXmH48OFERkbi5eVFaGgovXv35oknnmDLlsql+40ePbrcPWm1WoKDgxk4cCDPP/88p06durYxSbWRV8ASST3m+10XSM8rErS5YzoJx2pRAVu3HRc0fz8veo2b6PH91Qeyi7L5+NDHgtY3vC/Xtb6ughnXJmf9euzZ2U5BUQicMaPa9iTuoW+pgoj5WZkc3y6mCwxsG0Swj0HQ1tSgi4KP3of+Ef0Frd7WNbjC2L9BQKm2oGv/DtmXqm3Sd+RIfEaMELS0L77Ecqn6NiUSiUTSMCgoKODChQssXbqU2267jWHDhpGUVP5na2FhIU8//TTdunXjH//4B9u3bycxMZGioiLS0tKIjY3lvffeY+TIkUyZMoX4+Phq7clut5ORkcHevXt588036dGjBx988EFNfkzJVZBOA4mknmK22Phk8xlBG9MljF4txYiCE4vfJ6XAJGjDZt2IVle9p+wNjc8OfUZWYZagPdP/GRRFqWDGtclavEQ49h4yGH1kZLXtSdxDWOu2tO7ZW9D2/7ZM6JCg02oY3y1CGOPuFIV623rxCl6+MO1/olaYBb89BzXYd8SLL4BWW3Ksms0kv/W/q8yQSCQSSUPkkUceITY2tuRrx44dvPfee7Rt2xaAPXv2cMMNN5T5LMzJyWHSpEm8/fbbWCwWgoODeeaZZ1i5ciV79+7l999/5/XXX6dLF0cr5d9++42hQ4dy9OjRSu3LdU8HDhxgxYoV3HXXXQAUFRUxd+5cVq5c6b5fhKQE6TSQSOopv+y9SHJOoaDNHStGGdhtNrat2ShowT7QbeKNnt5evSAxN5Hvjn4naOPbjKdPeJ9q27QkJZG3bZugBc5sGh0oGgJ9J90gHCefO03CscOCNrFU68V9FzJIzjZXe83SxRCTC5I5kXGi2vZqhY7joPctonZsBRytfgFDr06dCLxJfG/JXr6cgkOHqm1TIpFIJPWP8PBwevbsWfI1ZMgQ5s6dy/79++nY0dG9a/fu3axYsUKYd99997Fhg6P19ZgxYzh69Cjz5s1j8uTJ9O/fn7Fjx/LCCy8QGxvLM888A0B8fDzTpk0jJyfnmvty3VNUVBRTpkzhq6++4t133wUcna/+/ve/u/NXISlGOg0kknpIkdXOhxvFiufDO4bQv02QoB1e/QsZpWqRjZg4Co1GS1PgvZj3KLI70zd0io4n+z1ZI5tZS5cJT2M1Pj74jR9fI5sS99G+3wACIkSnwP5V4o3wsI4h+Ho56xCoKqw9crnaa7bzb0dL35aCtiWhnqcoAEz4N3iLrSr57XkoyCh/fCUIe/xxNH5+gnb5P6/V78gLiUQikbiFoKAg/vznP5ccr169uuT7n3/+mV9++QWAqKgoVqxYQXh4eBkbAHq9nnnz5nH//fcDjvoHL730UrX39dhjj9GmTRsA9u/fT3JycrVtScpHOg0kknrI4ph4ErPEJ6OPl4oysFos7Fj0s6BFmPLpOOMxj++vPnAk7Qgrzoge7pu63EQb/zbVtqmqKlmLFgma/+RJaEymCmZIahuNRkvfCdME7dTunWSnOC8QvHRaxnYVL1RqUteg3NaL8fW49eIVfEJg0huilnsZ1v5ftU3qgoMJfeQRQSuIiSFn1apq25RIJBJJw2HQoEEl358/f77k+9dee63k+08++QRvb+9r2po3bx4REY6Uwi+++IKUlJRq7Umj0TDApcPVhQsXqmVHUjHSaSCR1DOsNjvvbxCjDAa2DWJwu2BBO7RuJTm5YpHEEcM7oxiu/Sbd0FFVlbf2viVovnpfHo56uEZ2C2IOUOTyAQgQMHNWjWxK3E/PMePQG52OHFW1E7NGdCCVTlHYcTqNzHzx76UqlK5rcDDlYJlaGvWSnrOh0wRRi/kWzmystsmg229D31ostHj5zTexm6ufAiKRSCSShoFe76yZZbPZADh06BAxMTEADB06VHAsXA1/f3/uueceAMxmMz/88INb9yVxH9JpIJHUM5YfSuRCqRZxj4/tJBT2KzIXsGvh98KYlt6ZtJlcqtVaI2VrwlZ2Je0StPt63UeQMaiCGZUja7EYZWBo2xZT3z41silxP17ePvQcPU7QYv9Yg8XlpnVU5zAMOudHnNWu8vvR6ocrDmw2EKPW2cLUrtrZnri92vZqDUWBqW+BwVfUlz8JRdVrRakxGAh//jlBsyZeIv2rr6u7S4lEIpE0EGJjY0u+b9GiBQCbNzuj76ZNm1ZmztWYPt3ZGamybRgruy+J+9Bde4hEIqktbHaV+X+IfWajWgUS3SlU0GJWLSc/T7zgH9FFi9Kij6e3WOfY7Dbe2idGGUR4R3B7t9trZNeen0/2b2KIdcDMmTXqwiDxHH0nTnVEFxTn0hfm5XFkyx9EjZ8MgI+XjpGdwlh/1FnLYM3hJGb3b1muvWth1BkZ1HyQkJawOX4zk9pNqsFPUUsEtIRxLzu6J1wh4xxs/Ddc/69qmfQbNw7vgQPJ37OnREv75BMCZ89CFxZWs/1KJBJJJVDtdgpyr1087wp2u52C4mJ7OlQ0mob37NTk64dSh/u2Wq3Mmzev5Hj06NEAHDx4sETr169flWz26dMHjUaD3W4X7FSFlStXcviwoyhy+/btadWqVbXsSCpGOg0kknrEqrhLnE4RKxs+PqajcONqzs1lz9KFwpj2vmlEjrnb8VSxkbP09FJOZYqOlcf7Po5RZ6xgRuXIWb8ee57L716jIWDGDRVPkNQpQc0jad93AGf2O29a969aTu9xk0r+Xib2bCY4DTadSCG/yIq3oXoffdGR0YLTYFvCNmx2G9qGUHh0wH0QuxAu7nRqO96HHrMgsmoXeOCo8xDx55c4O3tOiePGnp9P8jvv0OJf1XNESCQSSVUoyM3hwwduq+tt1CqPfPod3v4B1x7oZvLy8ti7dy8vv/wyO3c6PkfatGnDTTfdBEBqamrJ2GbNmpVroyJMJhN+fn5kZWWRlpZW6Xl2u534+Hh++eUXoWPCCy+8UKX1JZWj4bnYJJJGir2cKINuzf25rptY0G3P8l8pLBCjDIZHXIJejb/NYr4ln/kx8wWtS1AXprafWmPbmYsWC8c+w4ahLy7OI6mf9J00XThOT7jI+UMxJcfjuoWj1TgdaYVWO5uOV6/IEpRtvZhRmMHhtMMVjK5naDQw/V3QGpyaaodlT4DNUi2Txu7dCSjVjjTr10WYK9lvWyKRSCT1k3/+858oilLy5evry+jRo9m4cSPgaMm4ZMkSvLy8AIR2ib6+vuWZvCpX5mRnZ191nOuetFotbdq04bnnniM/33Fd/OCDD/LQQ00jVbe2kU4DiaSesP7oZY4liWF2j48VowzyMjPKtJfr4p9CeL+x4C0WSmyMLDiygJQC8abvmQHP1PhJryUhgfydOwUtcNbMCkZL6gttevUhpKVYkM/17yPQ28DQ9mLLwdU16KIQ6RtJh4AOgtYgWi9eIawLjHxe1C7HwvZ3q2/yqSdRXCtkqyqXX3tdtmCUSCSSRki7du14/vnniY2NpU+fPiW6n0sr3tzc3CrbvTLH39+/ynO9vb0ZP348y5Yt4+OPP67yfEnlkE4DiaQeoKoq8zeIUQYdw32Z2EMM8dq1+GeshYUlxwoqw0LPQ987amWfdUlqQSpfxH0haMNaDGNYi2E1tp25ZIlwrPH3x/e662psV+JZFEWh70Sx4NLZmL2kJyaUHE8o1UXhj6PJFFqrX1W5QbZedGX4UxDeXdQ2vg6pJ6tlTh8eTuiDDwha/q5d5P7xRzU3KJFIJJK65pFHHiE2NpbY2Fji4uI4deoUmZmZnDlzhjfeeIPwcDEKNjTUWXsrKalqzvmCgoKSSIWQkJCrjr2yp9jYWI4cOcLFixfJzs5m7dq1VS7AKKkasqaBRFIP2HQihUPxYvu2uWM6onEJrc5OSebgOrFQX4+AywRHhEG7UbWyz7rko4MfkW91pmUoKDzT/5ka21XtdrIWLxE0/ymT0RSH3EnqN91HjmHrD19jznM+2YhZvZzr7nW035zQPYK/L427knZPTqGV7afTGNMlvDxz1yQ6MpqvDn9Vcnwk7QipBamEmkIrnlSf0Blg+nz4fJwjPQHAVuhIU7h7pSONoYoE3303GT//jDXxUol2+Y038I2ORjEYrjJTIpFIqo/J149HPv2u0uPtdnvJzamfn1+DLYRYG4SHh9OzZ89Kj+/du3fJ9zExMUyYMOEqo0UOHDiA3e74PIqKirrq2KrsSeJepNNAIqljVFXlvVK1DNqGeDO1d3NB277we+w2a8mxVrEzNOwC9Hm2Whf6DYkzWWdYeEIs/ji9w3S6BHepse38vXuxxMcLWuBMmZrQUNB7Gek1bqJQHPTwxvUMv/l2jD6+hPsb6dsqkP0XMkvOr4lLqrbToG9EX3z0PuRZnEUztyZsZUbHGdX9EWqflv1h8COw832ndmE77P8KBtxbZXMao5HwZ54l8TlndwbL+Qukf/c9IffcXfP9SiQSSTkoGk2VigLa7XasOB7GePv7N0inQX1l5MiRJd8vW7aMl156qdJzly1zphW62pHUL+Rfi0RSx+w4k8a+8xmC9uiYjui0zj/PtISLHNkkhvtGBV7CX18EfW6tlX3WJe/seweb6gwp99J6MbfvXLfYzipVANHQsQPGXr3cYltSO/S5forQgspSaCZuw7qS44mlUhTWHbmMzV69nHu9Rl8mJabBpSgAjP0rBIr1IFj3D8hOrJY5/ymTMZV6QpT6wQdYMzIqmCGRSCSSxkJUVFRJjYMdO3awd+/eSs3Lycnhq6++AsBoNHLLLbd4aIeSmiKdBhJJHfPe72KUQWSgiZl9IwVt+8/foV4JJQb0io1BoRehw1gIbNy9aPdd3scfF0WHyR3d76CZT9Va+pSHPS+P7LVrBS1w5iyh+KSk/uMfGkanQeKNfMzqFdjtDkfThFK1QdLyith7Lr3a60VHinUNdiTuwGKvXgeCOsPgA1PfFrXCbFj5bEkLxapwpQWjK/acHFLfm1/BDIlEIpE0Jl588cWS7x988EEKCgquOef5558vqYFw7733EhYW5rH9SWqGdBpIJHXI3nPp7Dgj9qR9ZHQH9C5RBpfPnOLEzq3CmH7BCfjoLNCvcRdAVFWVt/a+JWhBXkHc27PqIdTlkb16DWq+S/tKrZaA6bKQTlWw2exkpeRz8Ug6cZsT2LH4FH98dYLL271J3Wck41L+tY24gX6l2i9mp1zm9L7dALQJ8aFbc7Eic026KIyIHCEc51pyOZB8oNr26oyO10FUqUil47/B4cXlj78Gpj598J8yRdAyfvqJwlOnKpghkUgkksbCLbfcwqxZswBHXYPp06eTklJ+m2OLxcILL7xQ0u2gQ4cOvPbaa7W2V0nVkTUNJJI6pHQtgwh/L+b0bylo235aIBx7aSwMCIkHUzB0mezxPdYla86v4VDqIUF7OOph/AzuKQSUtVi8OfKNjkYnvdwCqqpizrWQlVpATqqZrNQCsq98pZjJzTBX8GBaiwUtK96JY+JDPWnd/eoVkWtKiy7diGjfkctnnH9TMb8to9PAoQBM7NGMo5ec/Z/XxCXx96ndqxVVEuYdRrfgbhxNP1qibYnfwsBmA2vwE9QRE/4fnFoHeS4XdqtegPajq9XGNfzZZ8hZvx71SpcXm43Lb7xB608+cc9+JRKJRFJv+eKLL0hNTWXz5s2sX7+erl27cu+99zJ27FgiIiLIzs5m7969fP755xw7dgyAli1bsmzZMqFto6T+IZ0GEkkdcfBiJptOiB7Yh0Z2wKjXlhzHH43j7IF9wpiBIfEYtTaIugV0jbfCv8Vm4Z197whaG/823NjlRrfYL7pwgfxSOXcBTbQAotViIyfNTFZKAdmpZqdToPh7S2H1WxRaCm2smH+I0bd1ofvwFm7ctYiiKPSbNJ1V7zsjUy4eiSXl/FnC2rRjYs9m/G/9iZJziVlmYhOy6N0ysFrrRbeMFp0GCVt4ZkDNu3nUOt7BMOl1WOgSvZOXAmv/D2Z8UGVz+hYtCL73HtI+/MhpbvMWcrdsxTd6xFVmSiQSiaShExAQwJo1a3jhhRf48MMPSU9P58033+TNN98sd/zEiRP55JNPaNWqcafaNgak00AiqSPmbxCjDEJ9DfxpkLMwmaqqbP3xG2GMt7aIfsHFhcr6Nu7UhJ+O/0R8rtjV4Ml+T6LX6N1iP2vJEuFYGxiI35jRbrFd31DtKvnZRS5RAi6OgZQC8rKKPL7+hgXHyE4tYPD09h6rGdF5aDSbvv2C/KzMEm3/qmVMePhJOkf40i7Uh7Opzq4Hq+OSqu80iIzmk0POp+enMk+RmJtIC1/POUY8Ro9ZcOgXOOHS0vXAd9BrjqNuShUJvf9+shb+itUlLPXy66/hM3QJik5edkgkEkljxmg08u677/LEE0/w7bffsmbNGs6dO0daWhp+fn60aNGCUaNGcdNNN8luCQ0I+ektkdQBRy9ls+7IZUG7P7o9JoMzyuDcwf0kHDsijBkSegG9xg6R/SGie63stS7ILsrmo0MfCVqfsD6Maz3OLfZVu53MUk4D/6lTG3RP+SKztdwogezUArLTzNgs9msbqQEGkw7/UCMBoSa8A/WcPHIe82XRwbNv1XmyU81cd2c3tHr3l9TR6fVEjZ/MjoXfl2hHt24k+ta78fYPYEKPZny06XTJudVxSTw/oUu1nBi9QnsR6BVIZmFmibY1YSs3dbmpRj9DnaAoMGUenNsKRTlOffmT8OhOR9HEKqDx8SHsqae49Ne/lmhFp06T8fPPBN/a+Lu9SCQSSUNk9OjRqNUohFsRHTt25OWXX+bll1+ukZ2NGze6ZT+SmiGdBhJJHVA6yiDQW8/tQ9qUHKt2O1t/EKMM/PVmegUWF29r5FEGn8V+RlZhlqA9O+BZtz2hzt+1C2viJUELnFW/UxPsdpXcDLPTGZDicAZccQwU5Hi2er9Go+AbYiQg1Ih/qMnly3Fs9HE6CAoKCkj3Ok72CTs5Z8QUmpN7LpOXWcikh3sJc9xF1PhJ7F7yMzarFQCbxcKh9asZMutmJvSIEJwGZ1LzOJWcS6eIqudRajVahkcOZ+WZlSXa5vjNDdNpABAQCeP/CStdUiwyL8CGfzvqHlTV3MwZpH/3LYVHnCkcqe++R8DUqWj9/a8yUyKRSCQSSX1DOg0kklrmVHIOv8WKN6z3Dm+Hr5fzz/Hk7u0knzstjBkaeh6dRgW9N/ScXSt7rQsu5V7iuyPfCdr4NuPpE97HbWtkLhILIHp16YJXt25us19dzHmWslECqQVkpZrJTTNjt7vvCUB5mPz0DkdASLFjIMzpGPAN9EKjrXx0gKJAQJcievXvxo5fz6K67D3xZCa/vrGPqXOjCAgzufVn8AkMosuwkRzZ7GzTeXDtSgZOn01Uy0Ca+RtJyjaXnFtzOKlaTgNwpCi4Og12XdpFoa0QL20DrTXS/x6IXQgXtju1nR9Az1mO6KYqoGg0RLz0EhfuvKtEs2VmkvrhR0S8+IK7diyRSCQSiaQWkE4DiaSWeX/DaaHavJ+XjruGtS05tttsbPvpW2FOsCGf7gHJjoPuM8DYeJ/UvRfzHkV2Z469TtHxZL8n3WbflpNDztq1ghY4a6bH8uyFta12ctLMZKcVOwZSrjgFCshJM1OYb/Xo+lqdpiQywDVK4Mr3BqP7PxK6DosguJkfaz6JEwoqZl7O59c39jLl0Sgi2rn39dxv0nTBaZCbkc6JXdvoNnwUE3pE8PWO8yXnVh9OYu7YTtVaZ3iL4WgUDXbVkfphtpnZm7SX4ZHDa/YD1BUaDUx/Fz4cDrbi7geqHZY+Dg9uBF3V0nd8Bg3Cb/w4ctatL9HSv/2WoFtuxtCmzVVmSiQSiUQiqU9Ip4FEUoucT8tj6YEEQbt7eFsCTM4w7SNbNpCeKBYAHB52Hs2Ve9p+jTc14WjaUVacWSFoN3a5kTb+7rvByF61ytkODkCnw3/aNLfYVlWVghyLECVwJWogK7WAvIzCCtoTug+fAINLhIDTMRAQasLb34Ci8bxzpDRteoQw87l+rJx/UCi6WJBjYclb+xl/Xw/a93Ffq8uI9h2J7NpdqAkS89syh9OgZzPBaRCXkM3F9HxaBXtXeZ1AYyC9Q3tzIOVAibY5fnPDdRoAhHaCUS/AH686teTDsO0dGPV8lc2FP/ccORs3gaU4fcZiIfnNN2n53ntu2rBEIpFIJBJPI50GEkkt8sGG07hGmHsbtNwzvF3JsdViEYq4AYQbc+jkl+o4COkIrYfWxlZrHVVVmbdvHirOX5Cv3peHox526zpZpVITfEePQhdc+X701iKbM30grYDsFLOzK0GaGWsN2hNWBr2XttwogYAwE37BRnQuxTTrE2Gt/Jjz0gBWzD9EWkJuiW612Fn1cSwj5nQi6jr3tVzqN2m64DS4dOo4l04eZ1D7TgR568nId9aAWHM4ifuj21drneiW0WWcBi8NeqlWIlc8xvAn4fBiuBzn1Da/Ad1vgLDOVTJlaNOG4DvuIP2LL0q0nHXrydu1G5/Bg9y1Y4lEIpFIJB5EOg0kkloiIbOAX/eLEQR3DGlDsI8z5Df299VkpyQLY0aEnafk/qPv7dCQb0auwrbEbey6tEvQ7ut1H8HGyt/QX4vCM2cpOHBA0AJnzRKOVbtKXlahECGQnVpATqrDOZDv4faEigK+wUbBKRAQasKvuDOB0VffYG9IfYOMzHquH6s/ieXi0QznCRW2/nKS7NQCht/YCY0boiE6DhyKX2gYOanOtn/7Vy1jyhPPM757BD/vdf4t1shpEBnNezHOp+bxufGczz5P24C21d57naPVw/T34LPrHOkJALYiWP4E3P2bI42hCoQ+8jBZixdjy3D+n19+/TXa/fILirZ+OrkkEolEIpE4kU4DiaSW+GjjaawuYQZeOg33RTujDCxmMzsX/STMiTRl0dan+EJb0UJU42xXZrPbmLd3nqCFe4dzW7fb3LpO1mJHlIFVa6TAGEJReDvMRe3I+eE4WcVOgpw0MzarZ9sTennrnA6BMCN+IQ7HgH+YEd9gI9oqFBxsaBhMOqbMjWLT98c5uk0sCHpoQzw56WbG39cDfQ0jJjRaLX2un8KW778q0U7s3MrI2+9hYs9mgtNg7/kMknPMhPsZq7xO1+CuhJnCSClwOie2JGxp2E4DgMh+MORR2DHfqV3YAXs/h0EPVMmU1s+PsCceJ+mfr5RohUeOkrVkCYGzG29RV4lEIpFIGgvSaSCR1AKXs838tPeioP1pUGvhJmX/6uXkZ2UKY0aEn3MGFnSeAH4RHt5p3bDs9DJOZYptKB/v+zgmXfUq69ttdnIzCh0FBosjBLJT8kk+FEbBsNewGFyq5S85W5Otl4tGq+AXYiyOEChOH3BJJfDydn+rwYaEVqthzO1d8Q8xsWvZGeHc2YOpLJm3nymPReHtX7XCe6Xpdd0Edvz6A9biGhZ2m42Da1cxbPat+Bi05BU5UklUFdYducxtg6teO0NRFKJbRrPo5KISbXP8Zu7o3ghqj4z5KxxbARnnnNr6f0KXSRDQskqmAm+8kYzvv6fwpPPvPPntt/GbMBGtr4+bNiyRSCQSicQTSKeBRFILfLL5DEUuT68NWg0PjXKGQ5vzctmzbKEwp51POi29s51C30ZwE1IO+ZZ85sfMF7TOQZ2Z1r7i4oSqqlKYb3WkD6QUlGlTmJNeKLT4K8EU6bZ9m/wNJa0JA8LEGgM+gV5uCbFvzCiKwoDJbfELMfLHgqPYrc7/r+TzOfz6xl6mzo0iqFn1byhNvn70GDmWg+tWlWgH169i8KybGNM1nBWHnJEOaw5Xz2kAjhQFV6fB3st7ybfk462venHFeoXBG6a+DQtmOLWiHFj5LPzpxyqlSik6HeEvvMjFB5xRCraUVNI++5Twp55y25YlEolEIpG4H+k0kEg8TGpuId/tOi9ocwa0pHmA8yn63uWLKczLE8YMDzvnPPCNgE7Xe3Kbdca3R78luUCs4/Bs/2fBppCZkl8cJeAoMljSkSClgCKzZwsOavWa4noC5bco1HvJXGx30GVwM3yDvFj1UazQcjI71cyvb+xj0sO9iOwcVG37fSdOF5wG5pxsjm3dxMSePQWnwfZTqWQVWIROJpVlSPMh6DQ6rHbH/q12Kzsv7WRs67HV3ne9ocMY6HM7HHBpA3tiNcT9Cr3mVMmUb/QIfEZGk7d5S4mW/uVXBN10EwRV//9YIpFIJBKJZ5FOA4nEw3y+9SxmizPKQKtReGRUh5LjvMwM9v+2VJjTOSiLCJOLEyHqT6BtXH+uqqqSkHyZZdvX0Sm3P36FIfibQ2mptuPkMZWYzI3g0faEKr5BxnI6ETiOvf0NDbbgYEMjsnMQs1/oz/L3DpKTZi7RC/OtLHvnAGPv7EaXwc2qZTukZSva9O7L+UMxJdr+VcuY9eoYDDpNSQSQ1a7yx7HLzOxbtbB7AF+DL/3D+7MryVnIc3P85sbhNACY8C84uRbyXJx7q16EDmPBu2qFSiNefJEz27aDrTg1pLCQ5HlvEfyvV68xUyKRSCQSSV3RuO5CJJJ6RmZ+Ed9sPydoM/tGCj3hdy/5BUuh80ZJURSGBZ0UDTXQ1ARLkc2ZOpDibEt4JWLAWmRnEo+UmZdLoVvW1xu1BISZMOanohzYiqkgFZM5DZM1i54rf8YrzH2dGSQ1I6iZD3NeHMDKDw6RfM6ZlmO3qaz/8gg5aWb6T2pTLUdOv8nTBadB6oVzZJw6yshOoaw/6rwRXh2XVC2nAThaL7o6DbYkbEFV1cbheDIFweT/wi93ObX8VFjzF5j5UZVMeXXoQNAtt5Dx3XclWvbKlXjfdKO7diuRSCQSSYNFVT36xKzaSKeBROJBvtx2rqTYGoBGgcfGdCw5zk5N5uC634Q53VsqhHgVOIXWwyC0I/URu10lL7PQmTbgUlcgK9VMQbaH2xNqFPyCvcpNHwgINeHlo0NRFM7eeBPm07El8/wmTpQOg3qIt7+BGc/0Zd3nhzl7MFU4t2vZGbLTChh1a5cqd5doF9WfoOaRZFxKKNH2r1rGhDF3CU6DTSdSyC+y4m2o+kdjdGQ0b+59s+Q4OT+ZExkn6BLcpcq26iXdb4AuU+D4Sqd28AdHikLHcVUyFTr3MbKWL8ee7XQOpb/5Jtx2W6NtKSuRSKqGVqvFarVitVqx2WxoZXtWSRPAZrNhK47Eq2+veek0kEg8RI7ZwpfbxMr806Ja0C7UWdhtx8IfsVmdedwarZZhXjtFQ/3qNsrAZrVTlK3Blq8hdkMiBZlWZ8RAWoFQwM4TGH30DmdAmAn/EFPJ9wGhJnyDvNBc4way8ORJzLGxghY4c4YHdyypCXqDlokP9WLbwpMc+iNeOHd02yVy081MfLAXBlPlP74UjYa+E6fyx5cfl2in9+1izpw70WoUbMVFM80WO5tPpDCxZ/Mq77tdQDsifSNJyHU6JrYkbGk8TgNFgSlvwrktUOhSoHX50/DoDvDyrbQpXVAQoY8+QvJrr5doRbFx+B04SE7fPm7ctEQiaah4e3tTWNz5JjMzk5CQkDrekUTieTIzM0u+9/auX8WUpdNAIvEQ3+w4T7bZKmiuUQbpifEc3rReOB/VvRn+VmeqAgY/xxO+WkBVVXLSzKQl5JKWkEdaouPfzMv5qHaHoyMt5vw1rFQdm2Il2yuNgFATvTt0K4kS8CuOGvCqws1heWQuXiIc68LC8Bk+vEY2JZ5Fo1GIvqkz/iEmti48KdS2uHg0g0Vv7mPq3Ch8g4wVGylFj1HXsfXHBRQV5DsEVeXsljUMad+LbafSSsatjkuqltNAURSiI6P58fiPJdqW+C3c3+v+Ktuqt/i3gPGvwIqnnFrWBfjjXzDptSqZCr71VjJ/+JGi8873lNBVq8jt0d1Nm5VIJA2ZwMBAMjIyAEhOTsZms+Hv74+Xl1fjSPuSSIpRVZXCwkKys7NJS3NejwTVswLB0mkgkXiA/CIrn20R+89P6tmMzhF+Jcfbf/4O1e4skKjz8mKwYRe4+hl6zQaD+3uYm/MsgnMgPSGXtMQ8LB7qSODtb3CkDYQZ8Q8x8UPiNxyxHCDbK5U8QzZBxkBWzlqJn8Hv2saqgGqxkLVsmaAF3DAdRSff+hoCUde1wi/EyLrPD2N1KSaalpDHwtf2MmVuFGGtKveaMZi86TV2PPtWOouOxv6xjvH3RAtOg9+PJVNktWPQVS0FAhx1DVydBgdSDpBVmEWAV0CVbdVb+t0FsQvh/FantusjR5pCywGVNqMYDIS/8Dzxj80t0fRZWQRt2QJTp7pzxxKJpAFiNBoJCAggKysLgLS0NNLS0lAUpUZh29bi6M6UlBS37FPS+LFYrCiK514zNputTB2DgIAAvLy8PLJedZFXzhKJB/hu5wUy8i2C5hplkHzuDMd3bBHO9xvaB5/LYuQBfe+s0T6sFhsZl/JLogbSE3JJS8glL8u9tQZ0Bk2ZugIBxcd+oUb0BucH/Jpza/g941dwdpzkoaiH3O4wAMjdshVbqpgbHzBrltvXkXiO9n3CmPFMP1Z+cJCCHOffVF5WEYvf3M+EB3rSpmflwlb7TJjGvt+WQfGHc1FBPu3SjwKGkjE5Zis7zqQxqnNYlfc6qNkgvLReFNocIbV21c6OxB1MbDexyrbqLRoNTHsHPhwGtisFS1VY9jg8uAl0hqtOd8V37Fi8Bw8mf5ezgGTwxk1Yk1OgTWs3b1wikTQ0mjdvjsFgEG7WVFUtufGvKqqqUlDgqBllMplkxILkmpgtVtJyLXjrVAJ9a+c1ExYWVi/TcaTTQCJxM2aLjU9KRRlc1zWcnpHOp43bflognPfy9mFg4Fm47CKGd4fIfpVaU7WrZKcVOCIHiiMI0hNzyUwuQLW7p+aA1mgnLDKQwAgfAkq1KDT56Sv1RmqxWXhn/zuC1tqvNTd1vskteyxN1uLFwrEpKgqv9u09spbEc0S082f2CwNYMf8gmZfzS3RLoY2VHxxi1J860yM68pp2AiOa0aH/YE7vddYNOb1pFX073UnMxawSbXVcUrWcBkadkUHNBrElwekQ3By/uXE5DcBRmHX0S/D7P51a8hHY+j8Y/WKlzSiKQsRLL3J21uwSR46mqIi0V1/F94P3UQyVd0BIJJLGh6IohIaG4u/vT25uLnl5eRQVFWF3idKsCna7vcRp4Ovri0ZT9YgySdMhJbeQI4k5xR9PKl01epoFmK41rcpoNBoMBgM+Pj74+vpiqKeffdJpIJG4mZ/2XCQlR2wZOHesM8og4dgRzuzfI5wfOGkyxuPPi4b63lFuJfGCnKIydQfSL+VhLXRPaoGXt46QSF9CWvgQHOmLb6iemCM70Ojh+uuHYzJV/w3z5xM/czHnoqA92e9J9Fp9TbddBmtGBjkbNwpawMyZbl9HUjsEhJmY/UJ/Vn0US+LJzBJdtats/O442almhtzQHkVzdedVv0nTBadBxqVExvVLJwZnNMy6I0n8a0ZPtNewVR7RLaMFp8HWhK3YVTsapZFdnA57HA4vgiSXIqOb/+uowRLetdJmjN26EThnNpm/LCzRCrZuJeG554l8a55MJZJIJBgMBoKDgwkOrlnXo4KCAo4dOwZA//79a3Q9I2nc/LTnAn9edALX5246TRY/PTSU/m3qV62B2kJ+GkskbqTQauOjTacFLbpTKH1bO95gVFVl64/fCOe9AwLp2yIfjrg4GjR6rN1uJP18ttNBUFx3wF1tDDU6heDmPoS08CU40qfYUeCLT6BBiBooKChAc7Lm62UXZfPRQbGne1RYFOPbjK+58fLWW74CLM5wdsXLC//JkzyylqR2MPromf5EH37/5ign91wWzu1fc56ctALG3tUNnb7ifNdWPXoR1rotKRfOlWj+Z3YCzuKYqblF7DufwaB2Vb9AjY6MFo4zCjM4nHqYXmG9qmyrXqPVw/T58OlYUIsdlnaLI03h3jWONIZKEvbEE2SvXoM9J6dEy1m7lsQXXqTFG69Lx4FEIpFIao2PN53mP6uOldHHdwujV2QjqlFUReQnsUTiRhbtT+BSllnQHh/bqeT784diiD8aJ5wfNONG8vd9wUXzENKsrUm3tCFN24OsP8eiuqmboX+o0eEUiPQluIXDQRAYbrpmu0J38nns52QWZgracwOe81h+WGap1AS/cePQ+vt7ZC1J7aHVaxh/b3cCwkzs/e2ccO7k3mRyMwuZ/HBvjL7lR68oikLfSdNZ+/G7JVry0UP0jxrIvmxnSODquKRqOQ1a+rWkfUB7zmQ5U5S2JGxpfE4DgBZ9YOhjsN35uyR+N+z5DAY/WGkzurAwwt95m8SHHkbj4ujL/u03FL2O5v/+N0o961ctkUgkksaFqqq8seY4H248XebcsAg7/53Vo1pFkhsL0mkgkbgJi83OBxtPCdqgdsElNx6qqrL5u6+F81q9P3tWmthpe9ItezD66AmJdKQVhBQ7B4Jb+GAw1u2f+qXcS3x75FtBG9d6HH3C+3hkPfPRoxQePSpoAbNkakJjQVEUBk9vj1+IkY3fHRfqdlw6lcWv/93H1Lm9CQgrv8dx1xGj2Pz9V5hzsku04UVH2UdUyfGaw0n8bWq3ajm1oiOjBafB5vjNPNrn0SrbaRCM/jMcXQ4ZZ53a7/+ELpMgsFWlzRj79iXhnruJ/PIrwXGQtXQZaHU0/9erKDL/WCKRSCQewGZX+b8lsfyw+2KZc+Mj7UxpZa9WymJjQjoNJBI3sexAIhfTHQV29CqE2BRuCwthy88nSEvII+nUPvJSRe+loh+CzVb1P0OtXlOcWlDsIChOL/D2N9TLasDzD8ynyO5Mq9ApOp7s5x5HSXmUjjLQNWuGz5AhHltPUjd0H94C3yAvVn8SJ7QLzbycz8LX9zHl0d40a182lFBv8CJq3ER2Lf65RNOc3odXs64Uah0tjhIyC4hLyKZXy6qHIka3jObrI04H4eG0w6QWpBJqCq2yrXqPwRumvwtfT3NqRbmw4mm47Zdy67JUREGHDiTedSctv1kARc73i6xFi1B0Opq9/A/pOJBIJBKJWym02njmp4OsjL1U5tyL13ekRU7ZVIWmiHQaSCQ1wG6zk5VSQEp8Lht+PcGMPAOhNoVAu4KCQvzaeOIBVbVTlL1ZmKtogtAaul99AQUCQk2OiIFIR/2BkEgfAsK90TQQj+ex9GMsP71c0OZ0nkPbgLYeWU8tKnLUM3AhYMYNMry5kdK6ewiznuvPivkHyct01gUx51pY8r8Yxt/TnQ79wsvMi7p+MnuW/Yrd5nA22IoKGW4/xR/aHiVj1hxOqpbToF94P3z0PuRZ8kq0bQnbuKHjDVW21SBoNxL63Qn7Xeq1nFoHsQuh941VMpXfqRPhb80j5elnUF0iDjJ//hlFpyPib/9XLx2jEolEIml45BVaefjbfWw5Kbbn1ijw2uzeTOsRytq10mkA0mkgkVQKVVXJz3Z2LUgvLkqYfikPm8XR+qcbAOXfmNqLjqHa0wVNZxqG4lJR3aTJJER3npCBIwlu39zhKGjug96r4d7sqqrKvL3zUHGGj/vofXikzyMeWzNn0yZsGRmCFii7JjRqQlv6MufFAax4/yBp8bklus1iZ/WncQyf3ZGo61oJN5t+waF0HjKCY9s2lWjdMw6xIawbavHf5erDSTw3oUuV96PX6hnafCjrL6wv0TbHb268TgOA8a/AiTWQ61KgcvWL0GEs+FSt37T38OFEvvsO8U88KRQzzfj+exS9jvCXXpKOA4lEIpHUiMz8Iu75ag8xFzIF3aDV8O6f+jKxZ7OSFp0S6TSQSMpQZLaSnujsVpBe7Cgw51muPbkcVNWG1bxd0PSmZnQfNZLQxJ8Iyd5AiO483tosaD8a7njaDT9F/WB74nZ2XtopaPf1vI9gY83aJl2NrEViaoKpf38Mbdp4bD1J/cA3yItZz/VjzadxXDjs4qBTYdvCU2SnmhlxUychQqffpOmC00DJy6S9z1lO+3QA4FRyLqeSc+gY7lfl/US3jBacBjsSd2CxW9Br3N9etF5gCoLJb8LPdzi1/DRY/RLM/rTK5vzGjCHyrXkkPPU02JypJ+lffwM6HeHPea6IqkQikUgaN5ezzdzx+S5OXM4VdB+Dlk/vHMCwjo0wnbCGSKeBpMlit9nJvFxAWmKuM4IgMZfsVPO1J1cCRYGAcG8U+yEuZWYL56Y++RDt23jDu++Al8uJvnfQWLDZbczbN0/Qwr3Dub377R5b05qaSu5mMQ0kUBZAbDIYjDqmPNqbTT+e4MiWROFc7MZ4ctLNXH9fj5LoneadutC8YxcunTpeMm5gXlyJ0wBgzeHL1XIajIgcIRznWHI4mHyQAc0GVNlWg6H7dOg2zVEY8QqxP0Pvm6BT1Vur+o8fD/PeJOHZ50THwedfoOj1hD35pHQcSCQSiaRKnEvN4/bPdxGfIUYRBHnr+eqeQUS1CqybjdVzpNNA0uhRVZW8zELSEq5EDzgcBBlJedit7ulpmKuopGrtpGjtaIMM/Pvu/oS08EFVLXz+xPvC2BZdutOuzwDY8P9EI8ZA6DrVLfupDyw7vYyTGScFbW6fuZh0Jo+tmbVsuXBzoZhM+E2Y6LH1JPUPjVbD6Fu7EBBqYsdisfDouUOpLJ63nymP9cYnwOGt6zt5Opfe/W/JmLC8RMIKU0jxCgMcrRcfG9OxyvsI9w6nW3A3jqY7u3hsSdjSuJ0GAJP+C2c2Q2GWU1v+FDy2E7yq7nzxnzgR1WIl8cUXwW4v0dM++hhFpyds7mNu2LREIpFImgJHErO584vdpOYWCnrzACML7htUrYcETQXpNJA0KooKrKQVpxZcqTuQlpBLYb7VLfZ1XlpH14LibgUXbRaeX3eUApeC3u/M6ElEW38Adi9dTF6mmF8ffcudKKodDnwvGu99M+iNbtlnXVNgLWB+zHxB6xTUiekdpntsTVVVySrVNcH/+uvR+vp4bE1J/URRFPpNaINfsJH1Xx8RnIMpF3L49fV9TJ0bRXALHzoPHs7moM/JzXCmNERlH2J92HUAxCZkEZ+RT8ug8ts3Xo0RkSMEp8Hm+M083b/xpB+Vi39zuP5VWP6EU8uOh99fhclvVMtkwLSpqDYrl/78F1Cd/5ep8+ej6HSEPvxQTXctkUgkkkbO3nPp3PPVHnLM4j1B+1AfFtw/mMhAzz3UagxIp4GkQWKz2clMyi+JGrhSdyAn3X2pBYER3gS3cLYzDIn0wT/EhFKcE62qKi9/uF1wGLQP9WFq7xYAFObnsWfpQsFu26h+tOzeE06ug+wEcdF+jSc14dsj35JckCxoz/Z/Fq3Gc0UdzXGHKTwpRjYEyAKITZpOAyPwCfTit48OUZjnvEjISTfz63/3MenhXrTsEkTU9VPY9tOCkvOd806xLXgoBVqHo2DN4cvcN6Jdldcf2XIkn8Y68/lPZZ7iUu4lmvs2r8FP1QDodyfE/gLntji13Z9ArznQalC1TAbOmAFWK5f+72+CnvL22yh6PSH33VuDDUskEomkMbPheDKPfLsPs8Uu6D1a+PP1vYMI9fWqYKbkCtJpIKnXqKpKbkZhcc0BZ92BjKR87Db3pBb4BBiKWxoWOwha+BLU3Bud/uo3uNtPp5WpuPromI5oi50Ke1csxpwnFlgZccudjm9cW5MBNO8DzXrV5MeoN6QVpPF53OeCNqT5EIa1GObRdUtHGegjI/EeNNCja0rqPy06BTL7eUdLRtd6JUUFVpa/e4Cxd3Sl97iJ7Fz0I7biSv1a1U6v7MPsDnK8ftbEJVXLadArtBcBXgFkuYTqb0nYwk1dbqrhT1XPURSY9g58OAysV37nKiydCw9vAV31Ls4C58xBtVpJevmfgp783/+i6HUE33lnDTcukUgkksbG0gMJPPvzQax28b5hULtgPrtrAP7GRlqg2M1Ip4Gk3lCYb3GpO+Bsa1hU4J7UAr2XlpBIH4dzoIXTQWD0rd6bxbu/i0+1WwaZuKGPI8ogPyuTfSuWCOc7DR5GRPuOkJcKx1eJxhpRlMFHBz8S+tMrKDw74FmPFiyzFxaStXKloAXMmIGi0VQwQ9KUCGrmw+wXBvDbh4e4fNZZlNRuU1n/1VEGTWtH1+GjObxxXcm5njmH2RvYD7uiZc/5dFJyCgnzq9rNrlajZXiL4fx29rcSbUt8E3AaAIR0gNF/hvX/cGqpx2HLWzDmz9U2G3TLLahWG5f/9S9Bv/zv/4BOR/Ctt1bbtkQikUgaFwt2nOPvyw67ZrYBMK5bOPNv7YfxGg8IJU6k00BS69isdjKS8h11B4rTC9IScsnNKLz25EqgaBQCI7xLnAJX0gv8go0lqQU1ZffZdHadTRe0R0d3RK913KTuXvoLlkLnU01F0TD8puKuAQd/BLtL+0adEXrOccu+6ppzWedYeEJMyZjWYRpdg7t6dN3cP/7AnpUlaAEzZ3h0TUnDwtvfwIyn+7LuyyOciUkRzu1efpY2PXoCTqeBj62ATrmnOO7XBVWF9Ucv86dBrau8bnTLaMFpsCtpF4W2Qry0TSAUcuhcOLwILh10alvmQY8ZEN6t2maDb78N1Woh+bXXBf3yK6+i6HQE3dQEnDISiUQiqRBVVZn/xynmrTtR5tysvpG8Pqd3yTW7pHJIp4HEY6iqSk6auUxhwsykfOx296QW+AZ5lak7EBThg1bv2TeC9/4QowyaBxiZ3T8SgOzUFA6s/U04333kGEJatnYU8YpZgHjyBjAFenK7tcY7+9/BqjojQwwaA4/3fdzj62aWSk3wHjwYQ8uWHl9X0rDQGbRMeKAn2xed4uD6i8K584cVTP7tKMg+W6JFZcdy3LczKAqr45Kq5TQY3mI4Cgoqjve8AmsB+5L2MSzSs+k69QKtDqbPh09Gg1rc1cRucaQp3LcWalDjJOTuu1EtFlLmvSXoSf94GUWnl61WJRKJpIlit6v8a+VRvth2tsy5e4a35W9TuqNx00PEpoR0GkjcgjnPUlJzIC3R6SCwmG3XnlwJDEats+5AC4eDILiFD0af2s9DOnAxky0nUwXtoZHt8dI5LoBdc6MBNFodQ+f8yXEQvxdSjokG+zaO1ISY5BjWX1gvaLd3v51mPs08uq7l8mXytm4TNBllIKkIjUZhxJxO+IeY2PrzCSFk0WrrBTgvMiKKUmhemMQlY3O2n04lq8BCgKlq7zlBxiB6h/XmYIrzafuWhC1Nw2kA0Lw3DH8Ctv7PqSXshd2fwpCHa2Q69IEHwGol5Z13naKqcumvf0XRaQmY7rluLRKJRCKpf1htdl749RCL9ieUOffM+M48PrajR9NlGzPSaSCpElaLjYxLpbsW5JKXVeQW+xqNQmAz75KoAce/vvgGedWbP/L5paIMQn29uKX4CWTGpQTiNqwTzvceN4GA8OIb55hSBRCD2kHbER7ba22hqirz9s4TtECvQO7vdb/H185atkzo367x9sb/+us9vq6kYdN7TEv8Qoys/SwOa5Hj9aPRt0fRBKDanakuUdmxXDI2x2JT2XAsmRl9I6u8VnRktOA02By/mRcHvVjzH6KhMOpFOLIM0k87td9fga6TIbDq0RuuhD7yCKrFQuoHHzpFVSXxpT+j6HT4T55cI/sSiUQiaRiYLTbmfh/D+qOXy5x75YYe3Dm0be1vqhEhnQaSclHtKtlp5pK6A6nxjq4FmckFqO5KLQj2cjgFXNILAiO80erqb47R4cQs1h8VWwk+OLJdSSGV7b98j+pyA6szeDF45s2Og8JciFskGux7u6PSeANn3fl1wk0RwMNRD+Nn8PPouqqqkrVITE3wmzQRjbe3R9eVNA7a9Q5l5rP9WPH+IQqyi1AUDVqvPlgLNpWM6ZB3Bl9rLrk6X1bHJVXPadAymvkH5pccX8i5wPns87Txb+OWn6PeozfB9HfhqylOzZIHy5+C23+t8Xtg6OOPo1qspH3qbG+J3U7C8y+AVof/BOlElEgkksZMjtnC/V/vLVNvTKdRmHdTFDf0qfpnNzhaNFsLFHQm99z7NGSk00BCQW5RSTHCK2kFaYl5WAvdk1rg5a0juIUzaiCkhaODgZep4b383t9wSjgO8tZz22DHhX/yuTMc27ZJON930jR8g4IdB0eWQJFLC0ZFA30afqVvi83CO/vfEbRWfq24qbPni5GZDx6k6KyYsxY4a5bH15U0HsLb+DPnBUdLxoykfLSGHlgLtgOOFCMNKr2z49gePISNJ5IpKLJhMlQtF79bcDfCTGGkFDgLMG6J30Kb7k3EaQCOiKr+d8O+r5za6d/h0E8QdUuNTCuKQtgzT6NaraR/+aXzhM1GwrPPoujfwW/s2BqtIZFIJJL6SVpuIXd9uZu4hGxB99Jp+Oj2/ozpGl4tu6qqsu2nM1w+7YN/p0LsNvu1JzViGt5dm6Ta2Cx2Ui/mkhevw5KjZfXpI2QmFZCf7abUAp1CUDMfl64FjggCn8D6k1pQE05ezmFVXJKg3TeiHT5ejj+jbT9/K5wzmLwZOH22U9hfqgBix/Hg38Ije61Nfj7xMxdyLgjak/2eRK/1fL2JzFJRBvo2rTH16+fxdSWNC/9QE7Oe78/qj2NJOJGJ1qs7tkJn5ExU9hF2B/THjJ7NJ1OY0KNqdToURWFE5AgWn3K+XjfHb+b27re77WdoEIx/BY6vhlyX99HVL0GH60DrWyPTiqIQ/sLzqFYrGQtc3mutVuKffIpW89/Dd9SoGq0hkUgkkvpFQmYBd3y2izOpeYLuZ9Txxd0DGdg2uNq2T+1LJvFEFqCQdczI0nmHmPxwFIERTTOaVToNmhDJF3JY9lYsYAIgl6yrT7gKfiFGse5AC18CIkxoG3H7kvkbTglF0/yNOu4c1haAxBNHObNvtzB+4LRZmHyLw/NTTsDFnaLBfg2/AGJOUQ4fHfxI0HqH9eb6Np4PB7YXFJD9m9ilInDmzEbhoJLUPkYfPdOe6MOGBcc4ur2f4DTQqYXcmHGaX0K6siYuqcpOA3CkKLg6DfZe3ku+JR9vfRO6+DAGwJR58NNtTq0gw+E4mDK/4nmVRFEUIv7yZ1SrhcwffnSesFiIf/wJWn7wAb4jhtd4HYlEIpHUPaeSc7nj811cyjILeqivF1/fO5AeLQKqbbuowMrWX06W0mx4BxiqbbOhI50GTYiQFj5VnuPloxOiBq50LTAYm9ZL52xqHssPJgra3cPb4W/Uo6oqW38QCxya/APoN9mlcnfpNos+YdB5oqe2W2t8Hvs5mYWZgvbcgOdq5cY9Z/3v2HNd0z0UAm64wePrShovWp2G6+7uhl+oke0/bsRudaa+hOUd4iZDL9YfvkyR1Y6hirVXhjQfgk7RlbQktdgt7Lq0izGtx7j1Z6j3dJvqaDN7ZKlTi1uIpqt7/nYVRaHZ3/4GViuZvyws0dWiIuIfe4xWH3+Ez5AhbllLIpFIJHXDofhM7v5yD+l5YrR0yyAT3943mLahVb/ncWX38rPklyryPnhm2yZ3/+NK0/3JmyAGkw7fIC9yMwrLnNPqNAQ19y5TmNA7wCCf3AIfbDiFa/1HH4OWe4e3BeBC7EEuHokVxg+ecRMGU/ETRJsFDv4gGoy6BWohfN+TJOUl8e1RMSXjutbX0Te8b62sn7VYLCrpM3Qo+ubNa2VtSeNFURQGT2tPYe509ixx1upQ7Wk0K0xgemorNu1LZPzgllWy62fwo19EP3YnOSOStiRsaXpOA4BJ/4Uzm8CcWSLp17yIrt0/sGpNNTavaDQ0++c/US1WspYsKdHVwkIuPvIorT/5GO+BA2u8jkQikUhqn+2nU3ng673kFYm11zqF+7LgvsE0CzDWyH7KxRwObbgoaMYwK216VT/VoTEgnQZNjOBIbwoKC9D72ega1ZaINkGERPoQEGZC04hTC2rCxfR8FseI/V7vGNqWQG+DI8rgx6+Fc74hoUSNn+QUTqyBvBRhDH3v9NR2a433Yt6j0OZ0QGkVLU/2e7JW1rYkJpK3Q0z3CJAFECVuJPqWcRzf+gvZqc4II1vhfoL0bTj67Ul6hvrRvEPVQh+jI6MFp8Hm+M2oqtr0HLN+ETDh/8HSx0okTU4i3RJ/IbaVe94bFY2G5v/vX6hWK9krVpToakEBFx56mNaffYq3rH8ikUgkDYo1h5N4/IcYiqxiUcI+rQL58u6BBPnULH1Atats/uG4kI6MRiWwm7npfVaXQt4lNjHG3tOF5qPyCO1npt+k1nTsH05QMx/pMLgKH206jdUlzMCo13B/dDsATu3dSdJpMedp6Ow/oTO4vGmVTk1oNRjCOntsv7XB8fTjLD+9XNDmdJ5Du4B2tbJ+1tKluL6ja/z88Bt3Xa2sLWkaKIrCoBkzBM1uOYvdloHWorL0fzGc2pdc/uQKiG4ZLRxfzr/MycyTFYxu5PS5DdqJhQnbpf5OcO4Jty2haLW0eO0/+E0SU8HU/HwuPvAgBQcPVjBTIpFIJPWNX/Ze5JFv95VxGIzoGMp39w+uscMA4OiOSySdEbsw+LcvQucjWy7KO8UmhkbTtL1kVSUpy8wve+MF7dZBbQj19cJut7HtR9EhENS8BT1Gudy8Zl+Ck2tFo30bfgHEeXvnoeJ8A/XR+/BI1CO1sraqqmQuXiJo/pMnozHWLBxNIilN9+ixePmIeZG2whjHv1Y7az6NY//a86hq5S4m2ge0J9JX7BW9JX6Lezbb0FAUmPYO6JzpCAoqfS58DlbzVSZWcRmdjsg33sBv/DhBt+flceH+ByiIjXPbWhKJRCLxDJ9tOcPzCw8JqcIAk3o24/O7B5R0MqsJBblFbF8ktlb3DzXi1949XeYaOtJpIJFchY83n6bIpS+rQavhwZHtATi2bTNp8WKrwWE33oZW5/LGdfB7UF08ogZf6DHTo3v2NNsTtrPj0g5Bu7fnvYSYQmpl/YJ9+7BcEH/vgTNn1MrakqaF3mik19gJgmYrPIyqOtNydiw6zeYfTlSqf/OV1ouubI7f7J7NNkSC28HYvwqSX+EldJv/49ZlFL2eyHnz8B0j1o+w5+Rw4f77MR896tb1JBKJROIeVFXlzTXH+dfKsu/Ttwxsxfxb++Gl07plrZ2LT1OYZxW0obPbobjHfINHOg0kkgpIySnk+13izelNA1vSLMCIzWph+y/fCefCWrely1CX8GNVhRixUCA9ZoJXzfqR1yU2u415++YJWrgpnDu61170ROaixcKxoX17jFFRtba+pGnRd8JUFMX1o9KCrfCwMCZucwK/fRhLkVm82CiPkS1HCscHUw6SVVj99rcNnsGPQPM+gqTf8zHs/Kj88dVEMRiIfOdtfKLFFBF7VhYX7rkX83H3pUVIJBKJpObY7Cr/tySO+RtOlTn38KgO/GdWL7RuiqBOOpPFkW2XBK1Dv3Aiuwa6xX5jQDoNJJIK+GzrGQpd8qZ0GoWHR3UAIG7DOrIuJwnjh99yJ4rG5U/q/DZIPyMa7dewCyCuOr+KExnixfXcvnMx6Wpe8bwy2PPyyF69WtACZ81s8sVpJJ7DPyycjoPEFn25RftRVTGy4HxcGovn7Scvs2x3GlcGNhuIl9ar5Nim2spE7jQptDq4YT6qplRo6eqXIHZh+XOqicZgoOV77+IzbKig2zIzuXDPPRSeKnthKpFIJJLap8hq58kfY/iu1MM7gJcmdeWlSV3ddu1nt9nZ+P1xQdN7aRlxYye32G8sSKeBRFIOGXlFLNhxXtBm9YukZZA3lqJCdvz6o3CueeeutO9XqoXX/lIFEEM7Q8uG2+arSC3iozjx6V+noE5M7zC91vaQvXYdan6+U9Bo8J9We+tLmib9JomvMaMtm52ak6ilPkFTL+ay8PW9pCXkVmjLpDMxsJn4PtBk6xpcoVkvLNe/UUpUYfHDcHqDW5fSGI20fP99vAcPFnRbejrn77mHwjNn3bqeRCKRSKpGfpGVB77Zy4pD4pN/jQKvzepV8gDPXcRuTCAtXvzcHjStHb5BXhXMaJpIp4FEUg5fbjtLvkv/V40Cj47uCMCBNSvJy0gXxkffcqfo8TRnwZGlotG+dziKfzVQdhTuILlArBb/TP9n0GpqL9kra7GYmuATPQJ9RHitrS9pmkR27UF4W/EiJTT/AFsiNRh99IKem1HIov/u4+Ix8T3ClehIMUR+a8JW7Oq1ayI0ZmxRt3K0+RxRtFvgp9shMcata2lMJlp9+AGmAf3FPaSkcuHuuyk6f76CmRKJRCLxJFn5Fu74fDebToityg1aDe/f2o9bBrV263p5mYXsWi5GBYdE+tBrTEu3rtMYkE4DiaQU2WYLX24/J2jTo1rQNtSHwvx8di/5RTjXpndfWvXoLRqJXQjWAuexRgdRf/LQjj1Pnj2PzWaxYNvg5oMZ3mJ4re2h6OJF8nfvFrTAmQ27qKSkYaAoCv0mi9EGrcwJnEq7wID7u+EfJqbnFJltrHj3IEe3i09JrlC69WK6OZ0jaUfcu+kGyImIaZwJFbscUJQL386BtNNuXUvj7U2rjz7G1KePoFuTkzl/9z0UxceXP1EikUgkHiE528zNn+xg3/kMQfc2aPni7oFM6tXc7WtuW3gSi9kmaCP/1AWtbEVfBvkbkUhK8fW2c+S4FDRTFJg71hFlsG/lYsy5OcL4ETeXUwQwplRqQueJ4Bvm9r3WFhvMGyjEmautoPBs/2drtZZA1hIxckMTEIDv2LG1tr6kadNl2Ei8/QMFLSorlq1Jmcx5oT/N2vsL5+x2lT++Ocqu5WfKtGRs5deKdgHtBK3JpygAKAqxLW/H2rVUylF+Knw7C3Iuu3U5ra8PrT79BGOvXoJuvXSJC3fdjSUx0a3rSSQSiaR8LqTlM+ejHRxLEq+xA731fHf/YEZ0CnX7mhePpnNyrxhB23VYc1p0DHT7Wo0B6TSQSFzIK7Ty+TYxp3Vyz+Z0DPcjPzuLvSuWCOc6DhxKs46dRSNJcWXDaRtwAcTzOefZXSQ+4Z/afirdQrrV2h5Uu71MakLAlCloDIZa24OkaaPT6+k9fpKgdck7we8HzmDyM3DDU33p0K9sqszelef4/auj2Kxi+kHpFIUm3XrRFUWDZcp70E7sMkHGOfhuNpiz3bqc1s+P1p99irF7d0G3JCRw/q67sVx2r6NCIpFIJCLHkrKZ89F2LqTnC3qEvxc/PzSUvq2D3L6mzWJn849iYW8vbx3DZrq3XkJjQjoNJBIXvt15nsx8i6A9NsYRZbB76UIsZpeUA0Vh+M23lzVSOsrArzl0uM7dW601Pjj0AXacNzwGjYHH+z5eq3vI372nzFO/gFmzanUPEkmf6yejaJ01PHSqDeX4LhIyC9AZtEy4vwd9x5fNtzy+K4nl7x2g0OW9pXSKQlxaHKkFqZ7bfENC5wU3fwfNSqV9JcXCj7eC9eodKqqKNiCAVp9/hlfXroJuuXiRC3fehSU5uYKZEolEIqkJ+85ncNNHO0jOEd/X24Z4s/DhYXSO8PPIujHrLpB5WXRSDJ3ZAZOf+DDKZreViRZsqkingURSjNli49MtYjGUcd0i6N7Cn5y0VA6sWSGc6z5iNKGt2ohGrIVw6CdR63Oro61YA2Rv0l42JIjVy2/rfhvNfd2fV3Y1shYvEo69OnfG2KN7BaMlEs/gExhE56HizX7v7DjWHEoAQNEoDJvdkZG3dC5T8zTheCa//nc/2akOx2P/8P5467yFMdsTt3tu8w0Noz/cthCC2or6uS2w6AGw28qdVl10QUG0/uJzvDp1FPSi8+e5cPc9WFOlQ0cikUjcyaYTKdz+2S6yXVKCAbo19+eXh4fRKti7gpk1Izu1gL2rzglaeFt/ug9vUWbsV8e+4pu8b0i3VVzcuKkgnQYSSTE/7L5Aam6RoD1eXMtg56IfsVmcTwk1Wi1Db7ytrJFjK6BALOBC33KiERoANruNN/aIbdD8Df7c3+v+2t1Hbi7Za9YKWsDMmbVaT0EiucLAKTOEY19bHns2bhS0XqNbMvnR3ui8xM4iGZfyWPjGPpLPZ6PX6hnaYqhwXqYolMIvAm5fBD6l6sEcWQqrXgQ3P/3RBQfT+ssvMbRvL+hFZ85w4Z57sWZkVDBTIpFIJFVhxaFE7v96DwUW0QE8sG0QPz44hDA/z7Q7VFWVzT+dwGZxRtAqCoy+tQuKRryuPJd1ji+PfMlJ60ney3mPBccWYLVbS5tsMkingUQCFFptfLxJjDIY2TmMqFaBZCQlErdhnXCu19gJBEY0K2tof6nUhLbRENy+7LgGwLLTyziaflTQHurxEP4G/wpmeIac1atRzWanoNMRMH1are5BIrlCRPuOeLcSn0b7ntpBam6p0Mpeocx8pi/e/mKoY0F2EYvn7efsodQydQ22J2xv0hck5RLSwRFxYPAV9T2fwuY33b6cLjSU1l99iaGNGEVWePIkF+65F1tmptvXlEgkkqbEd7vO8/gPMVhsouN3TJcwvrl3MAEmfQUza87Zg6mcj00TtJ6jWxLWWkyDUFWVV3e+SpHd8TDRgoX3Y9/ndKZ7O/k0JKTTQCIBFu6LJynbLGhPFEcZ7Pjle+w2pydUpzcwZNbNZY1kXoAzG0WtbzmdFRoAuUW5vLP/HUEL14Qzs0PttzjMXCQWQPQdORJdSEit70MiuUL0DLGeRrPCy/z2+64y48Lb+DPnpQEEt/ARdGuRnVUfHqLZWbGYaI4lh4MpB92/4YZOiz5wy3egKXUhueFfsO8rty+nDw+n9ddfoW/VStALjx3jwr33Yct2bzFGiUQiaQqoqsr7G07x18VxZQLFbujTgk/uHIDJoC1/shuwFNrY8rNY/NDkb2Dw9LIP95adXsbuJLEI+C2dbqFLcBeP7a++I50GkiaPxWbnw42i53BI+2AGtA0m5cI5jm7bJJzrM3EqvsHl3LTGfAe4vAt6BUD36WXHNQA+i/2MNLPoiZ1kmoROU7u1GYrOnaNg/35BC5xV+44LicSV7kOHYzUFCNrJDb+VO9Yv2Mis5/oR2UWs/qyqcGBxElOS7gHVGRIpWy9WQPvRMOsToFRa0oqn4dhKty+nb9aMNl99ib6FmONqPnKEC/c/gC0np4KZEolEIimNqqr8+7ej/HfN8TLn7hrahv/d1Ae91rO3pXt/O0duuhgVOGJOR7xM4rVtujmdN/eKkWwBSgAP9njQo/ur70ingaTJsyQmgfiMAkF7YmwnALb99K2QN2swmRh0w5yyRuw2OPCdqPWaA3qT2/fraS7mXOSbI98IWhddFzrpO9X6XjIXLxGOtUFB+I4cWf5giaSW0Gi1RAweK2h+l45w6VL57fm8vPVMezyKrkPKpjS1OtuH8SfuRmtzPEXfnCDrGlRIz1kw6XVRU+2w8F447/4ikvrISFp//RW6ZuL/m/nQIS4++BC23Dy3rymRSCSNDavNzgsLD/HplrNlzj1xXSdent4DjcazdarSE/M4sO6CoEV2CaTTwIgyY9/c8yaZhZmCNt17Ot56zxRmbChIp4GkSWOzq3xQKsqgX+tAhnYI4dLJ45zeu1M4N2DqLEx+5eT0n9kIWRdFrV/DTE34377/YbE7iz5qFS0TTRNrfR+qzUbW0qWCFjB9GorBUMEMiaT2mHLjTCyK8+mEFjurfv61wvFanYaxd3Vj0LR2Zc51SO/DtCOPYbT4cDLjJEl5SR7Zc6Ng8EMQ/ayoWc3wwy1w+bDblzO0akWbr79CFx4u6AUxMVx8+CHsLiXaTgABAABJREFU+fkVzJRIJBKJ2WLj0e/288u++DLn/jGtO8+M7+zxwtaqqrL5x+PY7c6HgBqNwshbupRZe0fiDpafWS5oPfU96aJvumkJV5BOA0mTZsWhRM6mik+LHr+uE4qisPVH8Wm7yc+f/lNuKN9QTKkCiBG9oHkfN+60dtiTtId158Wijzd1uokwbVgFMzxH3o6dWJPEm6eAmTI1QVI/CAsNJieyt6Cl7t2EtaioghmgKAoDp7Tjuru7odGKFyrNctsxM/YZAgrC2JIgUxSuyti/le1KY86Cb2c7asu4GUObNrT+6iu0oaGCXrB3HxcfeRR7QUEFMyUSiaTpklto5d6v9rD2iBiFp9UovHVTFPcML+tE9wQndl8m4USmoPUZ35rg5mK9IbPVzKs7XxW0rsnBRB+OwG6p+LO9qSCdBpImi92uMv+PU4LWKzKA0Z3DOB97gAtxYkGyQTNuxGAqJzQpP71sTm2/OyjTqL2eU16LxUCvQO7rfl+d7Cdr0SLh2Kt7N4xdu9bJXiSS8ug2brJwrC3KI3bzhmvO6zqkOdMej8JQKo8yoDCUmXFPsyfG/U/MGxWKAlPfgc6TRD3nEiyYBXlp5c+rAV7t29Hmqy/RBgcLev6uXcQ/Nhd7YWEFMyUSiaTpkZ5XxK2f7mT7afH92KDT8PHt/ZnVr2Wt7KMw38K2X8Vrfd9gLwZMbltm7CeHPuFijjNq2KtQw9AjoRScOsWF337l4uFDnt5uvUY6DSRNljWHkziZnCtoc4s7Jmz7UYwc8A0OIep68QahhEM/gc3FA6n1gl43unWvtcGSU0s4ln5M0B7r81itt1gEsGVnk7N+vaAFzpxVwWiJpG6YFN2Xiybxwmf7siWopctCl0PLrsHMer4fvsFiL2qj1YeWG4dxdHeCW/fa6NDqYM4X0GqIqKedhO9vhCL31xvw6tiR1l9+iTYwUNDztm8n/vHHsV8lykQikUiaComZBdz40XYOxWcJup+Xjm/uHcS47mXrCHiKXcvOUpAtvjdH39QZvZfYpeFExgm+jPtS0Cad7oCa73AIW/NyWf7fV0k6JXZfaEpIp4GkSaKqKu+VijLo2syP8d0iOL1vN5dOidVdh87+E3qDeHFfbAj2l0pN6DYVvIPLjq3H5Bbl8m7Mu4LWMbAjczqXU/SxFsj+7TdU1wtwvR7/qVPqZC8SSUWE+HpR0HmYoJkvXyT+aFzl5rfwZc6LAwhuJRZM1ao6/vjiOPvXnK+UA6LJYvCGP/0AYWLrShL2wc93gc1S/rwaYOzSmdZffI7GX3Sm5m3eQsKTT4nvWxKJRNLEOJOSy40f7eB0iui4DfEx8MODQxjSvvZaZiefzyZuk1hLoW2vENpFialmdtXOKztewapaS7R2l30JPCe+n7fvP5iIDrVfFLy+IJ0GkibJH8eSOXJJ7LX92JiOKKhsK1XLIDCiOT1GjyvfUOJ+SC4VSty34RVA/CT2E9LN6YL2/MDna73F4hUyFy8Wjv3GjEEXFFTBaImk7hgycjiZOrH94r7fllYwuiw+AV7MfnYg6RFlc/F3LD7Nxu+PY7fZa7zPRot3MNz+K/iXCnU9tQ6WzgW7+393xu7daf3552j8/AQ9d8MGEp59DtXifmeFRCKR1HfiErK48aMdJGSKdV4iA0388vBQekYGVDDT/ah2lU0/nHBtgIZWryH65rKFF385/gsHU5wpyV5FGkYdbS6M0Ri8GHnn/R4v2lifqTWngaIobRRFmacoyjFFUfIURUlXFGWPoijPK4rikR4WiqJ4K4pyRlEUtfjrnCfWkTQsVFXl3VJRBu3DfJjcqznHtm8m9eJ54dywm25Dq6vg5rl0lEFga2g3yp3b9TgXsy/y7ZFvBW10y9EMazGsghmepfD0acwHxbyxgJkz6mQvEsm1mNCzBQf9ewra6b27yEouv/1ieRiMOkJnmImLKNtu8ciWRFZ+cIgis7WcmRIAAiLhjkVgKuVYPPQjrP+HR5Y09epJ688+ReMjFtLKWbeOhBdeQLXK/y+JRNJ02HkmjVs+2Ulanvh0vkOYD788PJT2Yb61up8j2xJJPic+HBwwqS3+oWJkX3J+Mm/vf1vQxpxsBfnizxE2YBjeAYGe2GqDoVacBoqiTAMOAc8AXQBvIAgYALwBxCiK0tEDS78C1E5pTkmDYeupVA5ezBS0x0Z3BLuN7T9/J+ihrdvSddjI8g0V5UNcqRZrfW4HTcMK4Jm3b57QYlGn0fHsgGevMsOzZJWKMtCGhuIbHV1Hu5FIrk6LQBO6LoMoUvROUVWJWbOiSnZGto5ma7tf2d5mMSri0/ELh9NZPG8/uRmy2F6FhHWBW38GnXhByPZ3Yft7HlnSFBVFq08/QfEWn3vkrFpN4p//gmqzeWRdiUQiqU+sP3KZu77YTW6h6Czt3TKAXx4eRotAUwUzPUNBThE7Fovt1AMjvOk7vnWZsa/tfo1ci7O+WavLJpqJzw7xiWyDb5sOHtlrQ8LjdzeKovQFfgL8gVzgr8Aw4Drg0+JhnYGViqL4lWuk+us+BZiBHHfZlTR83vtdjDJoHezNDX1acHjjejIvXxLODb/5DpSKnABHlkKhqxdTgT63unm3nmX3pd38fuF3Qbu16620DWhbJ/tRrVYyl4qh3QHTp6NUFOkhkdQDxvVpwxE/sbNH3B9rKTJXvhVft+BuhHqHcqjFRtZ2/gqrIj7lSL2Yy69v7CU1PrcCCxJaDYKbvgZFLHDF2v+Dgz95ZEnvfv1o9dGHKEajoGcvX86l//sbqgfSIyQSiaS+sGh/PA99u49Cq/heN6xDCN8/MIRgH0Ot72n74tMU5osOjJG3dEarF6/nN17cKLQZNxRpGHO0hTDGy9uHsEEjmnRawhVq45HoO4AJsALXq6r6b1VVd6iq+oeqqg8CLxSP6wy45fGmoihaHA4JLfBvIP3qMyRNhV1n0th9Tnw5PDq6A6rNwo5ffxD05h270KH/oIqNxZRKTegwFgJbuWurHqe8FotBXkE8FPVQHe0IcrduxZaSKmiBs2bW0W4kksoxsUczDvr3wrVkYWF+Hkc2/VFpGxpFw4jIEQCcDTnI8h7vYzWYhTG5GYUsenMfF464v6Vgo6HzBLhhfll96aNwcn1Z3Q34DBpEqw8/QPESi+VmLV5M0j/+IR0HEomkUfLF1rM88/NBbHaxYO/13SP44u6B+HrV/gOfxFOZHNsuPgDsNCCcVt1Ktcu15PP/dv0/QRtxPAJNKWfD8NvuQVdeu/UmiEedBoqiDAKuxBV/rqrqjnKGzQOOFn//pKK4xnhWmyeB/sBx4HU32JM0Ekp3TGgRYGRWv5YcXPsbuenihfiIP91ZsWcx7TSc3yZq/RpWAcTFpxZzPEPsEjG379w6abF4hazFS4RjY+/eeHX0ROaSROI+2of50qxlJGe92wr6/tXLq3TDGB3pTMO57HeORT3/h3+Y+ATbYraxYv4hjmxLrNGeGzV9boVx/xQ1uxV+vhPi93lkSZ+hQ2k5fz6KXryEyfxlIUmvviq7YEgkkkaDqqq8te4Er6w4Uubcjf1b8sFt/TDqteXM9Cw2m51N34vXtXqjluFzynY8eC/mPZLykkqOWyabaH1RjIpo13cAXSpKUW6CeDrSYIbL91+WN0BVVTtwpVx9IDCmJgsqitIGRy0DgIdVVZX9jyQA7L+QwdZT4lPsh0d3QC0ys2vJL4LeumcUrXtGVWysdJSBKRi6THbXVj1OTlEO78WIeb4dAzsyq9OsOtoRWDMyyP1DfDIbKAsgShoIV6INXMlIjOfcwf2VtjG0xVB0ivPJTLpXEs1vL6R5B7HitGpX2bDgGDuXnpY3oxUx/EkY8pioWfLg+xsh9aRHlvSNHkHke+9CacfBDz9y+T//kf9XEomkwWO3q7y87DDv/l72ffSB6Ha8Mac3Om3d1PaK3RBPeqLY6nHwtPb4BIpRYIdTD/P9se9Ljg0WhVFHmgljvLx9GP/gXJmW4IKn/1dHFP+bB1zNvb/J5fvhNVzzA8AHWKCq6sYa2pI0IuaXijII8/PipgGt2P/bUsw5YoXVEbfcWbEhmxUOiKkMRN0COq/yx9dDPj30aZkWiy8OerHOWiwCZK/8TWhVphgM+E9uOI4YSdNmQs9mxBsjSdWLIZD7Vy2rtA0/gx99I/oK2o70rUx/qg8dB4SXGb9v1XnWfXEEm0WGv5dBUeD6f0GvG0U9Pw0WzILsS+XPqyF+o0fT8u3/Qak6LBnfLCD5v29Kx4FEImmwWGx2nv75AF/vOF/m3PMTuvCXyd3q7CY7N8PM7uVnBS2kpS+9RkcKmtVu5eUdL2NXnZ+bQ46Fos8XP0dH3XkffsGhnttwA8TTToNuxf+eUlX1av2HjpUzp8ooinILMBnIwE31ESSNg7iELP44lixoD41sj2rOY++KRYLeYcAQmnfqUrGxU+sgN0nU+jac1IQL2RdYcFSMlBjdajRDmg+pox05yFok/j/4jbsObUDt9fSVSGpC9+b+tArx5mCAGG1w7uB+0hIuVtqOa4oCwOaEzWh1Gq6/twf9JpSt/Hxyz2WWvXsAc56lzLkmj0YDN3wA7UsFMGZdgG9nQ0GmR5b1u+46IufNA60Ynpv+xRek/O9t6TiQSCQNjoIiGw8t2MfSA2JqnKLA/5vZk8fGdKzTp/JbfzmFpVDsWDP61i5oSkU9fHf0O46lO287I1OMtL8o1ixoG9WPnqPHe26zDRSPPVZUFMUIXHHRxF9trKqqGYqi5OGIEKhWJTlFUYKAt4sPX1JVNaU6dq5iv+U1hpTEtRQUFFBQUPmq2bWJ2Wwu9/vGzjvrxRynIG89M3uHs/3X7yly/b9SFAbcMOeq/3+GvV/heilob96XQv92UE//z0vzxu43sNqdPjydRsfcnnMr/Jlr4zVTdOIE5iNibpxpypR6+3ckuTpN9X3mus6hLEjtzLD0XZjszp97z4rFjLrzgUrZGBg6UDhOykvi8OXDdAjoQJ+JkRj9dez49QwuD0lIPJnJwtf3cv2DXfELMdIQ8ehrZvqneP04G03SQaeWfBjbdzdTdNMPoHd/OzD9yGhC//UvUv/6V3Cpa5H2ySdYFQh6+GG3r9nUaKrvM5LqI18z1SPbbOHRHw6x70KWoOs1Cq/N7M7knuF1er0WfyyT0/vFB4Odh4QT0Nwg7CsxL5H5Mc5CuXqLwsi4CGGe3mgi+s77S14fDeU1Uxu/f8VTHm9FUcKAK/+DP6mqess1xl8GwoE4VVV7XW1sBfM/A+4DdgDDVZcfTFGUc0Ab4Lyqqm2rarvYRqV/UZ999hmhoTKkpb6QmA+vHxT9Y1Nb2xgTlMv55T8JvbR923ak2bCKy2p4WTK5Pu4pNC591A+0uofzoTUqxVFrnLac5ss8sbzIcK/hTDJNqqMdOQhbvoKgrVtLji3+/pz980uOJ4USSQPhTDa8c1jH0PSdDMiKKdEVrY62M29Fa7h2CpOqqszLnkemmlmiTTBOINrojEAoSNGSHmNCtYlPdTQGO6H9CzAEynSF0hgs2USffBXfwsuCnhjQnz3tHgfFM+81fvv30+znX1BKXWulTrie9LFjPbKmRCKRuIvsIvjoqJaEfPHzxqBRubeLnW6BdRs5pdrg8lYfrPnO93CN3k7EyDy0LnUNVVVlQd4CTlhPlGjDYkPofNFXsBc2aAQBHasd9F5npKamcv/99185bKWq6lUf2FcHT16Ruz7uqEwxwsLif6vs8lcUZSRwL462jg+rMvZP4sK6ePFlbtKqREeopB+OERwGKArBvfpd1Var9G2Cw8CqMZAQVLdh/ZXFrtpZVbBK0HwUH8YY69jhYbPhFxMjSNn9+0mHgaTB0dYP/PUqh/x7Ysd5gaXarGSfPn6VmU4URaGzvrOgHbeIc01hNsIG56PxEp0D9iINKbu8Kbhcd7VJ6itFen92dHgBs05MeWqRtY+oi1+Dhy4bcvr14/LssgVmQ9esJWjjpnJmSCQSSf0gzQzvHC7rMDBpVR7tbqtzhwFAzhmD4DAACOhSJDgMAOIscYLDoHmqsYzDwBTRAv8OXT2214aOJ68sXGM4DBWOcnLlEUyV4isURfECPgEU4B1VVQ9VZX4VuFbaRDNgD8DIkSNp2fJa2Qx1g9lsZvPmzYBjn0ZjwwxlrSxn0/I5sHOnoN07oh2juvvww69fCHr3UeMYPbtU0SxXVBWvz0q18eo+g7GTbnDXdj3K4tOLSdon1mJ4vN/jTO8w/arzPP2ayd+wkeQ8sdpt7yefRN+mjVvXkdQeTe19xpWdluP8tC+BUz4d6JznLL5adOEM4+Y+jUZ77TZUpkQTu7fuLjm+aL/I0NFD8TP4CeNyxxWy7tOjZFxyfmyqdoW0GBODZ7Slx8jmbviJaodae80k90H9bgZKUU6J1DZtA5Fd+2Ed8bxn1rz+enK6diXtX2JP8LBVq+jcvRsBt9/umXUbOU35fUZSPeRrpvKcTM7l/317gFSz+Nw31NfA57f3oXOEbwUza4/sVDOL1x0AnM6L8La+TLlnCIrG6ejILsrmrdVvlRzrrArRcWGCLZ2XF7Of+yv+YWLR4YbymomPd3tgQRk86TTIcfm+Mq8sn+J/c6u4zl+BLsBF4B9VnFtprhXm4Vr8w2QyYTK5P0fS3RiNxgaxz5rw+fYT2F0cob5eOh4c1ZntX7yL3SXKQKvXM+Lm267++zi/A9JPC5Ju4D3oGsDvMKcoh48PfyxonYM6c0v3W9BqKt9L1xOvmdSVK4VjU9+++HeVnt7GQlN4n3Flap9IftqXwEH/XoLTICcthcTDh+g0eNg1bYxoPQKDxkCR3XGxZlNtxGTEMKHtBGGcyWRi9gsDWfNJLBePZjhPqLBr8TkKsqwMn9MJjaZhtYzy6GumzQD40w/w7SywOS+G9dvmoQ9sAQPvv8rk6mO6/XZ0isLlV/8l6Bnz3sJg8ib49ts8sm5Toam9z0hqjnzNVEzMhQzu+TqGzHyxwG7rYG++vW8wrUO8K5hZe6iqyvolx7FZnRf5igJjbu+Gt4+4vzcOvCF0DBtwLAjvUtEJo267l4jWV39YVZ9fM7WxL4/F/6qqagbSig+v+ti9uIjhFadB5ctMO3ix+N/1wDRFUW4p/eVi28dFl8mEjZyL6fksOZAgaHcObYMlLZEjWzcKep8JU6/dWiVG7DhASEdoPdQNO/U8nxz6pEyLxRcGvlAlh4EnsKalkbtJDNENmDWzjnYjkdScIe1D8DfqSPKK4LJBfGJR2faL3npvBjYXCyJuid9S7lgvk44pc6PoNqxsVMGhP+JZ/XEsliJbOTObMO2iYfZnQClnysrn4PASjy0bfNttRPz5pTL65X/9i4wff/LYuhKJRFJZtp5M5bbPdpVxGHRt5sfCh4fWC4cBwJkDKVw4LF7X9h7TitCWYkTe/sv7WXhiYclxszQvul4Qx7Tq3ouo8XVb26sh4Omk4Svl0DsqinK1qAbXx4pHq7jGldSHe4AfKvi6cjcY6qL9vYrrSBoYH2w8jc0lzMCk13LfiHZs++lbIX9VbzQx6IY5VzdmzobDi0Wt7+0Ot2Y953z2eb49+q2gjW01lsHNB9fRjpxkLV8OVmcnB8VoxH+SfOOWNFz0Wg3jukeAonCgVPvF+KNxJJ87Uyk7pVsvbknYIvSVdkWr1TDmjq4Mnt6uzLmzB1NZ8lYM+dmVKS3UhOh+A0yZV0pUYdEDcLZ8B407CL7rLsKff66MnvTyy2T++qvH1pVIJJJrsSr2Evd+tYf8Uo7mfq0D+enBoYT714/Q/CKzla0/nxQ07wADg6aJn4EWm4VXdrxScqyzKoyILZuWcP1DT6DIOlrXxNO/oSvl0H2A/lcZN8rl+22e246kqXApq4CF+8SgldsGt8aSdJ5Te3YI+oCpM/D2F4tjleHwIrDkO48VLUTd6q7tepR5e+eVabH47IBn63BHDlRVJWuR6Ijxu348Wt+6z5OTSGrCxB6ODrynfDqQqxWfyuz/rXLRBiMjRwrH6eZ0jqZV7FNXFIUBk9sx7p7uaLSiMzP5XDa/vrGXjKS8CmY3UQbeB6NKPfm3FcGPt8IlT5VHgpD77iPsqSfL6Jf+729kLV3qsXUlEomkIn7cfYHHvt9PkU10To/qHMa39w8mwFtfRzsry96V58jNKBS0ETd2wmASn09/EfcFp7OcacX9jgfimy9G2Eb/6S4CmzWc+j91iaedBktcvr+nvAGKomiAO4sPM4ENVVlAVVXlWl/A+eLh51300VX6SSQNio83ncFic0YTGHQaHhzZnq0/iSkGRl8/+k+pRDj8/lKpCZ0ngF9E+WPrETsv7WTDRfFP6o5ud9Dav3Ud7ciJ+cgRCk+cELTAmTI1QdLwGdk5DJNei13REufXQzh3bNtG8rMyr2mjlX8r2vq3FbTNCZuvOa/L4GZMf6IPXt7ixVN2qplf39hH4smMCmY2UUa/BP1LXZ4UZsN3cyDjnMeWDX34YUIfe0wUVZXEP/+FrBUry58kkUgkHuCjTad5aVGsUAMMYGrv5nx65wC8DfWnI09aQi4HfxcfCrbsGkTH/mI64Lmsc3xy6JOS44h0L7qf9xfGRHbtQd8JUz232UaGR50GqqruBq7E+d2nKEp5CeDPAlcaYr6jqqqQRKMoymhFUdTir688t1tJYyE5x8wPuy8I2i0DW2G+cILzh8TWfoNm3IiX9zXys5KPQsJeUet7hzu26lGsdiuv735d0IKNwTzQ+4E62pFI1uIlwrGuRXO8B9d9yoREUlOMei2juzhCIOP8u2Nz+ai1Wa0cXL+qoqkC0S1LpShUUNegNJFdgpj1fH/8QsRQ0sJ8K0vfOcCJ3UkVzGyCKIojTaHbNFHPvQwLZkJuiseWDp37GCEPPSSKdjuJL75I9urVHltXIpFIwBHx+Z9VR3lt1bEy524b3Jp3bumLQVd/wvZVVWXTD8exu3g3NDqFUX/qIhSkV1WVV3e+WlJMWGtTGH4oRLCl0xuY8LBMS6gKtfGbehJHG0UdsFZRlD8rijJEUZQxiqJ8DLxRPO4EUDrBUCKpMp9tOUuh1RlepdcqxVEG3wjjfIOC6TNhyrUNxoj1APCNgE7Xu2OrHmXRyUWcyjwlaI/3fbxM27a6wF5URPb/Z++8w6Oqtj78nplJ772HHiDUhF4VAcFC7wqK2O+1e9Xr9epnv/bee0VARFCUptJ7CSW0AAkJ6b23Kef7I5hkzySUkMlMwn6fx0fO2mefvQKTM+esvdZv/fqrYPOePFnevCVthvE9a0oUKrSuHHfvIowdWPs7RoO+oWkC5roG8bnx5FXkNXK2iG+IG9Mf609gO/H33WRQWffFEfasOo2q2r7Htl2g0cLUz6DdMNGenwgLZ0BVScPzLhFFUQh44H58FywQB4xG0v71CCV//GGVdSUSicRoUnl82SE+3mips3PPqM48P7knWjvrvHN8ZyYZJ4sEW+zV7fAOEjf/Vpxawa7MurbFsce98SwXyyuGzZ6HT0iY9Zxtg1j9CV1V1ThgFlBMTevFF4HtwF/AHWdPSwCuU1XVOt/MksuG/LJqvtuRLNimxYZTlRhPRoIYSR08bTYOjk7nvqChGg78INr6zAGt/aRqNURxdTHvxb0n2Lr6dGVKZ/tI/y/9az3GIvHG7yVLEyRtiFHdAnE4qy1wwLO3MFZWWEDC9i0NTRPoF9QPF11dGyUVlW3p2y7YB1dPRyY/FEuHPpadYXauSGT9d8cwGhsWV7zscHCG2QshUCwnIT0OFs+r+S6wAoqiEPjIv/C5ySx7zWAg9cGHKFl/URWbEolEcl6qDEbu/WEfi3ZbNqz773Xd+dc4cefeHqgs07PtJ3EjzNPfmX7jxTaJ+ZX5vLbntdrjgAInok+LwfOQqG7EXjvRes62UVpkW09V1V+B3sCb1AQIyqnRL9hDTcvEGFVVTzZ6AYnkAvliS5Kg+qrVKNw9siNbF4lZBl5BwfQcNfb8F0xYBeVmO3utoDTh4wMfU1Al1i7bQ4vFvyn6WRRAdB0wAMeICBt5I5E0P57ODgzrXPOynuvkT6pzqDC+9/dfzrvT76h1ZEiIWNV3oSUKf+PgpGX8nb3oPcqy8/HRrRn89v5BqisMDcy8DHHxhrk/gZeZ5kvielh+N5isE2BRFIWgxx/H54Y54oBeT9p991O6+fwBJolEIrkQyqoM3Pb1Hn4/JJapaRR4dXpvbhvR0UaenZudKxKpKBEz9EbMjELnKD7Xvrr7VYqqajaltEaF4Qf9UOq119U6ODDurvvR2MnzcGuixXKBVVVNVlX1IVVVu6qq6qaqqo+qqgNUVX1FVdXyc8zbUE+8cH4T125/dn77pvovsX+KKvR8ve20YJvUJ5SKhL3kpIj2oTNuRKu7ACVYcwHEyKHg3/nSHLUyp4tOs/DoQsE2OnI0A0MG2sgjEX12NqWbxRcfmWUgaYv83UUB4ICn2H4xK/EE6QmWdaTmmOsabEnfInRDuRA0GoURs6IYPqMLmG0enTmSz7LX9lJaUHlR12yzeIbAvJ/BVax/JX4prPmP0K63OVEUhaD//hfvGTMEu6rXk3rPPZRt397ITIlEIrkwCsqqufGznWw+kSvYHXUaPpzbjxn97XPzJut0MfGb0wRbhz7+tO8tZtFtS9/GysSVtcd9T3jhVSY+6w+dcSN+Yfb5c9o7soBY0mb4autpSqrqHqYVBe4a2Z6tS0RNAr/wSLoNG2k+3ZKiNDj1p2iLtf8sg9f3vI5Brft7cNA48HA/27dY/JviX38VduwUV1c8x9m/RoREcrGMiQ7i75LQJNf2FOnEFMl9q87ffnF42HDhuKS6hIM5TWsH2Gd0BNfc0Qudg/jVn5dWxtKX9pBzRlYIAjWB4Rt+BAc30b7zQ9j6ltWWVTQagp952iKIqlZVcebuf1C2a1cjMyUSieTcZBZVMvPj7ew/UyjY3Ry1fHXLAMbVC3LbEyaTysaFx6FevFbnqGH4TFErqNJQyfM7nq899i90pGei2C0huHMU/a+Xm1RNRQYNJG2C0ioDX2xNEmzX9Qqh8shOCjMzBPuw2fMuLC1p/0JQ66WjOnpA9KTmcNdqbEvfxobUDYJtbvRcIjztI6qqqiqFy8TSBM9x49C4uTUyQyJpvfi7O9G/vS8AqqLhkGdPYfzEzq0U555bnT/YLZiuPl0F2+a0iytRqE/HmAAmPRSDi4e4+1JWVM3Pr+0j+fCFCS22ecL7waxvQGOmX/PH0xD3vdWWVTQaQp5/Ds+JYjcHtbKSM3fdTfnevVZbWyKRtE2ScsuY/tE2TmSXCnYfVwd+uGMwQztZ6t7YC4c3pZGTIga0B1zXAU8/F8H28cGPOVNSo9GgNWJZlqDTMf7uB9BoZVlCU5FBA0mb4NvtyRRViLVOd4+IZPtPoohhcKcudO4/+PwXNJkgzqw0odc0cLTfl1uDycCru18VbL7OvtzR645GZrQ8lYcOUX3qlGDzniqjvpK2S/0ShcPu3dFr6l7WVZOJA2t/O+81zEsUNqVuuiSfgjt4Me3R/haK0/oqI7+9f5DDZmmgly2dx8DkDy3tv9wLCWustqyi1RL64ot4XnuNYFfLyzlz+x1U7N9vtbUlEknb4nB6ETM+2kZqQYVgD/Fy5se7htI73Ns2jl0A5cXV7FghdnfwCXalz2hxIyyhIIGv4r+qPe5z0hvvUkfhnCHTb8Av3Eyv5kLQVxCWv81qpWmtCRk0kLR6KqqNfLZZvKlcHR1E5cGtlOaJdVvDZ998YYqwpzdDodiFgZibLtVVq/JTwk8WLRbvi7kPd0d3G3lkSeGyZcKxQ0QELv3728gbicT6jOtZFzSo1jpx1C1KGD/45xr0VefWEzBvvZhQkEBmWWYjZ18YXgEuTHu0H6FdvAW7alLZ8P1xti8/hWqSD0n0nglXvyDaVCMsuRnOWK9cQNHpCH35ZTyuFku3TOXlpNx2OxWH4q22tkQiaRvsSspn9ic7yC0Vu7909Hdj6d1D6RxoP8+HDbHtp5MWQr1XzOmKVlf3+mpSTTyz/Znasly/BsoSgjp2ZsDEaRfvgKrisOpB+id/RJ8zX4Hx/K2S2zIyaCBp9SzclUJemXhDvHtoODuXLxFsET16E9mrz4Vd1DzLIDAawmIvxU2rUlRVxHv7LVssTu482TYONYCpspLi334XbF5TJttdWx+JpDkJ83ahd7hX7bG5IGJlaQlHt2w45zV6B/TG01F8CNqSdumK+s5uDky8ry9dBgRZjO1bncy6Lw5j0BsbmHmZMfQeGHqfaDNUwPczIPv8YpZNRXFwIOy1V3G/6irBbiotJeXWW6k8csRqa0skktbNX8eymPf5TkoqxZfunmGeLLlrCGHeLo3MtA/SEgo4vlMMjkcNCiKsq49gW3J8Sa3Oj+ZsWYJGrXuu1Gh1jGtqWcKm19AdXQ5A+7z1OC6ZBeX5F3+dNoIMGkhaNZV6Ix9vFNPdr+waQNWBDVQUFwn24bPnXdgLakUBHDETKIuZV6OsaKd8fPBjCqsKBdtjAx+zmxaLACV//omppF5dmqLgPXmyzfyRSFqK+gJThY4+ZHiIfaX3naf9ok6jY1joMMF2sa0XG0ProGHsLdEWva4BTuzJ5pe391NZennvrgAw5hnoY9YSsbIQvpsKRalWW1ZxdCTsrTdxu0IU7zUVF5NyywIqjx+32toSiaR1smJ/Gnd8s5cqg9gmdlAHX364fTD+7k428uzCMBpMbPwhQbA5uugYOlXsXpZdns3b+96uPe59ygsfs7KEwdNmERDZ/uKdOLIC1j8vmDSZh6Ds3DpEbRkZNJC0an7cm0p2SZVgu2twMLt/FdPgO/YbSGhU9wu76KGlYKx3TY0D9J51qa5ajaSiJH44Kmo3jIkcw4DgATbyqGGKzAQQXQcPwiE0tJGzJZK2w/ieoir1LldREDEvNYWU+APnvIa5rsH2jO1UG6sbOfviUDQKgyd3YtTcbigaMTiacbKIn17dS1FOo52RLw80Gpj4LnQeK9qL0+C7aVbdfdI4OhL+zju4DRMDR8aiIlJuWUDVyZONzJRIJJcb32w/zQOL92MwKy8b0z2IrxcMxMP5AtqN25gDf56hIKNMsA2e1BE3LzHY8dKulyjV14g7+hY50PuUlzAe0L4jAyeJbWwviIwD8PNdgklFoXriRxDQtZFJbR8ZNJC0WqoNJj7aIGYZDO3kR3XcX1RXiA+4w2ddRKvEfd+Ix92uAze/hs+1AxpqsfhQ/4ds6JEl+sxMyrZtE2zeU6fayBuJpGXpFOBOl3q1oykuEZg8A4Rzztd+cVjYMEEJusJQwd6s5lXSjx4eyvX/7I2Dk5ihVJhVzk+v7CUzsaiRmZcJWgeY+TWEmemw5ByDH+ZAtfUCKxonJ8Lffw/XwaKQrzE/n+T5t1CVmNjITIlEcjmgqipv/3GCp1YcttDsmxobxkdzY3F2sJ/s08Yoya9k929iN7SASA96jAwTbOtT1rMueR0AGhMMP+hvVpagZfzdD6DVmXXAOa8DWTX3c714P48Pm4Op0+iLu1YbQwYNJK2W5XFppBWKarB39g8gbtWvgq3bsCsIaNfhwi6acQAyzXqgx15EwKGF2Za2jY2pGwXbvOh5RHjYR4vFvylavkJQntW4u+MxZowNPZJIWhahB7aicMirtzCeuG+3RXvY+vg6+9LLX9RDuJTWi40R2cOPqY/E4uYt7uhUlOhZ/mYcp+Kym33NVoWjG9z4I/iLgpac2QFLF4DR0PC8ZkDj7EzEB+/jaiYea8zNJeXm+VSfPm21tSUSif1iMqk88+sR3vwjwWJswbAOvDa9Dzpt63jl27LkBIbqemUVSo34oaZeFlyZvowXdtYJ1PY65YVviViWMHDyTALbd7y4xfWVsPjGmgyyeiT7jiQxYNzFXasN0jo+QRKJGQajifc3iCmZ/dv5oN+3FkN1XWmBotEwdMYNF37hfWYCiJ7h0HHUpbhqNQwmA6/sfkWw+Tn7cXuv223kUcOoqkrRz2Jpguc116BxsW8RHomkOTEvUdiu6YDOuV7LQ1UlbvWvnIvh4cOF4+bSNTDHP9yD6Y/1wy9MVNY26k2s/iSe/X+knFODoc3j6gtzl4FHiGhPWAUr77dqay6NqyvhH32ES0yMYDfk5JA8/xaqz5yx2toSicT+0BtN/OvHA3y17bTF2MNjo3jy+u7CC7c9c/pQLon7Rc2AHiPCCOogCgG/F/ceWeVZAPgUO9DnpFiW4B/ZnsFTZ17c4qoKv94HqbsFszF8MAci5tu1rllLIYMGklbJrwfTSc4TU4fuiPXm0J9i7+yeo8biEyKmNDWKvgIOiR0XiLkR7EhMsD4/JvzIqSKxPOO+WPtqsQhQERdHdbLYvtJryhQbeSOR2IYeoZ6CWrVe44Chy0DhnPgN66gqbzzFfWSYKIZ3uvg0KcUpzevoWdx9nJn6r1gio33FARW2Lj3J5iUnMF3OLRm9I2oCB87iwypx38Ffz1l1aa27GxGffoJzbzFbxZCZScrN89GnpTUyUyKRtCUq9Ubu/m4vy+LE33lFgecm9eDe0V1aTYcqQ7WRzYvFTAkXDwcGTxKzBQ7nHmbhsYUAKCYYZtYtQdFozpYlXKR2w9a34OBi0eYdSfWUz1A1F1ni0EaRQQNJq8NkUnnvLzHLoHe4F8Y9qzHVSw3VOjgweOrsC7/w0ZVQWb9mV4G+N16it9ahqKqI9/e/L9i6+3ZnUqdJNvKocQqXiaKUjh064BLT1zbOSCQ2QlEUi2yDzbquKErd13B1RQWHN/7R6DW6+3XHz1nUV7FGicLfOLrouPafvYkeFmIxdmh9Kqs+OoS+6jJuyRgUDXMWgc5ZtG9+HXZ8ZNWlte7uRH72Kc49egh2fXo6yfNvQZ+Z2chMiUTSFiiu1HPTF7v446hYMqbTKLw1qy/zhrS3jWNNZO/qZIpzKwXb0KmdcXare/k3mAw8vf1pTGpN+ULPRE/8i8VSuoGTphPUUeyycF6O/Q5/PCPaHN1r7u+u/hd3rTaMDBpIWh2r4jM5lSOqqt7ey42jmzcItr5XX4unvyg2dk7izAQQO14BPpZtyOyBjw58RFGVKEr26IBH7arFIoCpvJySVasFm9eUKa0m8i2RNCfmQYP9hRpCevcTbHGrf0U1iW2y/kajaBgeZlaiYMWgAYBWq+HKud0YPNmyNvT0wVyWv7GPsqKqBmZeJrQbCtO/AMXscWr1vyH+J6surfX0JPLzz3Dq1k2w68+cIfnmm9FnXeb6ExJJGyW3tIo5n+xgV5LYtcXZQcOnN/VnUt8LzLC1Ewqzytm3VsxIDensRdfB4nfmd0e+41j+MQC8Sxzoe9JbGPcLj2TwNLPWuOcjMx5+ug2onzmnwLTPIKhHY7MuS2TQQNKqUFWVd/86Idi6h3ii7lmFqtY9aDs4uzBw8kXUM+UnQdIm0RZjnwKIiUWJLDq2SLCNbTeW/sH9G5lhO0rWrcNUVi/Ao9HgNWmi7RySSGxIbKSPRX/s/PaiGn5hZgaJcXsavYZ568XdGbsp11u3HaKiKPQb356xt0aj0YkBv+zkEn56eS/56WWNzL4M6HYdXP+WmVGFZXfCqfVWXVrr7U3kl1/g1KWLYNcnp5Ayfz6G3Fyrri+RSFqW1IJyZn60ncPpxYLdw1nHt7cOYlS3QBt51jRUVWXjD8cxGepe2hWNwhVzugobTGmlaXxw4IOa8bNlCVpTvbIERcO4u+9H53ARZQmlOWc7JZh9f415Grpe06Sfpy0jgwaSVsUfR7M5llki2G7tquPELrGdX7/rJuHqaVZrei72fy8eO3tDt+ub6KV1MW+x6Khx5KF+9tVi8W8Kf14uHLsNG4ZDUJBtnJFIbIxWo3B1D/Hzvy7fjQAzhed9v69o9BpDQoegVeoyiqpN1ezO3N3o+c1J1IBgJt3fFydXsb6zJL+Sn17dS+rxghbxwy7pdzNc9V/RZtLD4rmQvt+qS+t8fIj86kscO3US7NVJSSTPn48hP7+RmRKJpDVxMruEGR9tJzFXfMn1d3di8R1DGNDet5GZ9svJvdmkHhO/O/qMjhCEeFVV5fkdz1NhqOmY1iPJk4AiMQDff8IUQjp3vfCFDVWwZB4UmekC9ZkDw+6/uB/iMkEGDSSthoayDDoHusPeVYLN2c2d/tdfhNCeyQj7F4q23rPAwbnh823I1rStbEoVMyJu6nET4R7hNvKocapT0yjfsUOweU+ZbBtnJBI7YXwPsxKF1CI6XSnuaKTEHyA35XSD8z0dPYkJFJXzrV2iUJ/QLj5Me7Qfnv7i/bG6wsCv7+zn+I7G20a2eUb8CwbeIdqqS+H76ZB3quE5zYTOz4/IL7/AsX17cfmTp0i5ZQGGgss4oCORtAEOnClkxkfbySgS6/7DfVxYetcQokM9G5lpv1RXGNjyo/hc7+btxIDr2gu2NafXsCVtCwBepTpiTngL4z6h4QydcREaZKoKKx+ClO2iPXxgTdaYLKFtEBk0kLQaNp3I5WCqWMe/oJOR5IP7BNuASdNxcnW78Auf+suiJyux9lea0FCLRX8Xf27rdZuNPDo3RSuWC8caT0/cR4+2jTMSiZ0wuKMfHs7iTv1J9864mGVG7TtH+0XzEoVNqZtatAWiT7Ab0x7tT2B78SHVZFT546uj7P4t6fJsyagoMP4liJ4s2sty4LupUJJl1eUdAgOJ/PorHCIjBXvV8eOk3HorxqKiRmZKJBJ7ZtvJXG74dAcF5XrBHhXkztK7htLe/yKeee2IXSuTKC+qFmzDZ3TBsd53ZFFVES/tegkARYVhB/2FsgQUhfF334/O0fHCF97+Huz/TrR5hsPs7+1yw9BekEEDSatAVVXe/VOMRrbzdYE9YpaBm7cPMeMvsqxgn5kAYkhfCO7VBC+ty5LjS0gsShRs98Xch5uD/X1ZqCYTRWalCZ7XXYvGyanhCRLJZYKjTsOY7mKJwppjefQZK2YbHN20nooSsWb1b0aEiUGDjLIMThVadyfbHFdPRyY/FEPHvpZis7t+TeKvb49hNDYs6Nim0Whh6ifQQWyPScFp+H4aVDb8b9pcOAQF0e6rL3EIE4XQqo4cJeW22zGWlDQyUyKR2CNrDmcy/8vdlFWLnWr6Rniz5M4hBHu1zpfc3NQSDq5PFWyR0b50ihW/U97c+yZ5lXkARCd5EFgoPkf2u3YSoVHdL3zhhLWw9knR5uAKc34A99alB9HSyKCBpFWwIzGfPclieuWCdlVkJBwVbIOnzsbB6SJuoGW5cFwMPNhjlkFRVVGtAMzfdPftzqTO9tdiEaB89x70qeKXgffUqTbyRiKxL8aZlSjsTMqn3bAxaLR1uysGfTUH/1zT4PzO3p0JdjNr39iCJQp/4+CoZdwdPekzOsJi7Ni2DFa+e4CqCkMDM9s4OieY9b1l8DnzECy+saaW1oo4hIYS+fXX6ELEVpmVhw5x5rbbMZZexqKVEkkrYsmeM9z93V6qzQKwI7r48/1tg/B2vYjddTtCNalsXJiAaqrLSNPqNIyYHSWIH+7N2stPJ2q60HiW6ohJ8Bau4x0cwrBZcy984eyjsHQBYqcEagK9Ib0v9se47JBBA0mrwFzLIMzLGfb+Ltg8A4LoNfrqi7vwgUU1YlV/o3OGntOb6qbV+PDAhxYtFh8b+Bga8zZfdkLRzz8Lx05dOuPcs6eNvJFI7IsrogJwdqj73TWaVLZl6Ok6RGynuH/tbxgNli/diqIwMkzcybZF0ABAo1EYPqMLI2Z1AbMy0NRjBSx7dS8l+ZUNT27LOHvCjT+BT3vRnrQJlt1Ro6VjRRzDw2j39VfoAsWds4oDBzhz551iVxuJRGJ3fLopkUeXHsRk9n57ba9gPru5P25OuoYntgKObs8gM1F8po0dF4l3oGvtcbWxmme3PwucLUs45IfOVO+ZV1EYd9f9F75RWJYHP8yGarNsq6v+C90nNOnnuNywzzcOiaQee5Pz2XYqT7DNDy0iNzlJsA2dcQNa3UW0WlFViPtWtEVPAhfvJnpqHRILLVssXt3uavoF9Wtkhm0xlpZRvEbcIfWaPEWIHksklzMujlqujBJf5tbEZxJ7jdiOtDQvl5O7zYSazmKuaxCXFUeJ+cNQC9J7VATX3NkLnYP4WJGfXsbSl/eQk3IZpsV7BMHcZeBmVsJxZDmseqzmO8iKOEZGEvn1V2gD/AV7xd69nLn7H5gqKqy6vkQiuXhUVeXVNcd44fejFmOzB0Tw7pxYnHTaBma2DipL9WxfJpbTeQa4EDuunWD7Iv6L2pLcbqc9CCoQgwMx468nvPsFbkYZqmHJTTVlYvXpOb1GwFZyQciggcTuefevk8JxkLsDmn2rBZtvWATdR1x5cRdO3QM5x0RbjP2VJry651WMat2ulKPGkYf622eLRYCSNWtQ6z+MarV4TZRRXImkPuN7mpUXnMjFPaIjIVHdBPu+339pcP7A4IE4aupSUw2qge3pDQcYWoqOfQOY/HAsLh5i8La8qJplr+/j9KFcG3lmQ/w6wY1LwdFdtO/+FDa/ZvXlnTp0oN1XX6H1FVuxle/aReo//4mp8jLMApFI7BSjSeWJ5fG8v95So+auKzrxv6m90Gpa9wbM9hWnqCwTBR1HzopC51gXCEkqSuKTg58A4FGmo99xb+F8r6BgRsy++cIWVFX4/V+QvEW0h8bCpPdkp4SLQAYNJHbNwdRCNhzPEWw3B+ZSmJku2IbPmodGc5GR1zgzAUSf9tBuWBO8tB6bUzfXtpn5m5t73EyYe1gjM2xP4c/LhGP3ESPQBViKpUkklzOjugXioK17WKk2mlh/LNsi2yA94SiZp06YT8fVwZUBwQMEm61KFOoT1N6T6Y/1xyfYVbAbqoz8/sFB4jelNTKzDRPaF2Z9BxqzTLi/noe9X1t9eadOnYj86ku03t6CvWzbdlLvvQ9TdXXDEyUSSYtRbTBx36I4Fu5MsRh7/Jpu/Puabq0+YzMzsYgjW8Tn904xAbTr6Vd7rKoqz+14Dr1JDw2VJQDj7rwPB+cLLEvY+THsM7vPeoTWCB86uDTp57hckUEDiV3znlmWQYCLBu3+tYItqGNnOg8ccnEXriqFePHllpi5oLGfXwm9Sc+re14VbP4u/tza61YbeXR+qpOTqdizV7B5TZ1iI28kEvvFy8WBIZ3EtPHVhzPpMnAo7r5+gn3fqoazDcxLFDanbsak2r5jgae/C1Mf6UdoF2/BrqqwceFxtv10UhDAuizoNAqmfoyF8MPKB+DYb1Zf3jkqisgvv0DjJbb2LNu8mbT77keVgQOJxGaUVxu47Zs9/HYwQ7BrFHhpai/uvKKTjTxrPkxGExt/OC5oEOqctAyb0UU4b/nJ5ezO3A1At2R3gvPF4ECfq68joscFihae/BPWPC7adC4wZyF4BDc8R9Io9vOGJJGYcTSjmLVHxL7W83wyKM0TU1yHz77p4qOvR5ZDdWndsaKBvjc20VPrsOT4EpKKRN2G+2Pvt8sWi39TuHy5cKz19sbjyitt4otEYu+MN+uisOFYNnpVoe/V1wn249s2U1qQbzHfvPViXmUeR/Mt62BtgbObAxPv60vUoCCLsbh1Kaz57DAGvXXFAO2OntPgmpdFm2qqUfNO3mb15Z27dyfy88/ReHgI9tING0h7+GFUvb6RmRKJxFoUllcz97OdbEoQs2odtRrevyGW2QMjbeRZ8xK/KY3cM6WCbeB1HfDwrQsK5Ffm8/re1wFwL9fR77iPcL5nQBAjb5x/YQvmJMCPt9TcY+sz5UMIjblo/yUyaCCxY95fL2YZ+Dmp6A79KdjCo3vSrncTfvn3mQkgdh4DnqEXfx0rUVhZyAf7xRaL0X7RTOw0sZEZtkc1mShavkKweU6YgOLYOlsCSSTWZmx0kFBOWVZtZOvJXHqPGY/Ooe73xmQ0cGDdKov5kZ6RtPMUxaM2p9q+ROFvtA4axsyPpv+17S3GTu3LZsWb+6kovcx2uAfdCSMeFm2GyhpV76wjVl/epWcPIj/7FI2bGHwuWfcHaY88itpAtw6JRGIdsosrmfXxDvalFAp2V0ctX8wfwDW9Qhqe2MooK6pi54pEweYb6kbv0eGC7dXdr9Z0ClNh6CFfHIzia+rVd96Lo/MFlBSU58MPs8Cs6xhXPg49ZPZrU5FBA4ldcjK7lN8OiWlac91TqCgWbwDDZzUhyyAnAc7sEG12JoD44YEPKa4uFmyPDbDfFosA5Tt2YMgQ/828p0y2jTMSSSsgwMOJAe1EgbrV8Zm4eHhaCLse/GMVhgZ2gs2zDewpaAA17SEHTezIqHnd0JgJeGUmFvHTK3spzC63kXc24qona8rh6lNZBN9NhULLeubmxqVPHyI+/RTFVdSdKFm9mvR/P45qvMwyQCQSG5CcV8a0j7ZxPEvsLOPt6sD3tw1ieBf/Rma2PrYuPUl1pXhfuWJOV7TaumfabenbWJm4EoCoM+6E5onBgd6jx9OuV9/zL2bUw4/zIV8MUhA9GUY+2gTvJX9jv28gksuaD9afFLpR+ekM6A5vEM7pGDuAsG7RF39x8zaLrv4QNf7ir2MlThWeYvHxxYJtXPtxxAbF2sijC6Nw2c/CsVO3bjhHN+HfRyK5jBhn1kVh3dEsDEYTMWaCiOVFhRzftslivrmuwaHcQ+RXWpYy2JroYaFcf08fHJ1Fwdqi7Ap+enkvWUmXUUtGRYHr34aoa0R7SQZ8O7Wmn7iVcY2NIfLjj1BcxAfz4pUryfjPE6gm22tjSCRtlaMZxUz/aDtn8sW2p0GeTiy5cwgxkT6NzGx9pB7L58RusdS42+BgQfOmwlDBc9ufA8CtQsuAo+LP7+EXwMi5Cy5swdX/hqSNoi2kD0z+0K50y1oj8m9PYnck55Wx4oCorjrHJZHqCnE3atisJmQHGPVw4AfR1mc26Ownhb7BFov97LfFIoCxpISSdesEm7cUQJRIzsu4HmLNf2G5nl1J+QREtieypyj2tO/3X1BVUUCwf1B/XHR1L34qKlvTtlrP4UsgItqXqY/0w93HSbBXlulZ/cFhyjN0NvLMBmh1MP0LiBgk2vNOwMKZUF1mdRdcBwwg4sMPUJzEf4+iFSvIeOopGTiQSKzA3uR8Zn28nZySKsHe3s+VpXcNJSrIo5GZrQ+jwcTGHxIEm5OrjiFTOwu2jw98TGpp6tmyBD/LsoQ77sHJLDOqQXZ9Crs/E23uwTD7B3C8gPmScyKDBhK748MNpzDWU9b201TicExsO9h1yAgC23e8+IsnrIEyUWyG2Jua4qZV2JS6yeKB/+YeNxPqbj96Cw1R/Psq1Kp6X4A6HZ7XX287hySSVkK4jyu9wkRF+9WHMwGIuWaSYM8+fYq0o4cFm6PWkcEhgwWbPbRebAy/MHemP9Yf/wh3wW40qOTvd6Ek0cEiMNJmcXSFOYsgoJtoT9sDS26uCXJbGbfBgwl//30L7ZmipT+R+eyzl8+/hUTSAmw4ns2Nn+2kuFLUDokO8eTHu4YS4du2Xmz3/5FCYZa44Td4cidcPevuNwkFCXx9uKYlYpdUd8JyxeynnqPG0r5vv/MvlrgBVj0m2rROMHsheNlvm/LWhAwaSOyKtMIKftqXKthmOiRgqK57IVU0GobOnGs+9cIwL00IHwgBXZt2rWZGb9Lz6m6xxWKASwC39brNRh5dOEU/i6UJHqOuROfr2/DJEolEYLxZicKaw5mYTCodY/vjHSQKYTXUftG8RGFr2lYMJvsVtHPzdmLKw7FE9vCzGCs67syGb09QVX6ZKPm7+sLcZeApCoJxch2suAdaYLffffgwwt99B8XBQbAXLlpM1gsvysCBRNIM/Hogndu/2UOlXvydHtDehx/uGEyAh1MjM1snxbkV7PnttGALbOdB9PC6TTCjycgz257BoBpwbaAswd3XjyvmXUCb8bxTNYFW1UyPZdL7EH4BAQfJBSGDBhK74uONp9Ab62UZqKU4ntgpnNPjijH4hjYhalicASfWirZY+xFAXHxsMaeLTwu2+2Pvx9XBviPPVYmJVOzfL9i8psjSBInkQjEvUcgqruJAaiEajZaY8WLGzsndOyjKFutDzcUQi6uLOZR7yDrONhOOzjqu+0cveoywzKJKistj0XO7SDteYAPPbIBXGMxbBi5mdcwHF8Ef/9ciLrhfcQVhb78FOrFEpOC778h++RUZOJBILoHvdiRz36I44fkW4KpugXyzYBBeLg6NzGy9bF5yAkP9AIkCV9zQVRDEXZKwhIO5B2vKEuL9cDSIr6Vj77gHZzcxK82CikJYOAsqC0X7iH9B7xmX9kNIBGTQQGI3ZBdXsmj3GcE2Q3MUk7Fux0yr0zFk+uymLXBgodiv1cHNblqvFFYW8sEBscViD78eTOg0wUYeXThFPy8XjrV+friPGNHwyRKJxILOgR50ChBb4P1dotDjyrE41hOrU1UT+9f+Jpwb7BZMlE+UYLO3LgoNodFquOKGrgyZ0slirLSgiuVvxbHtp5MY9ZdBbX1AV7hhCejM2oltewe2vdciLnhcdRVhr78OWlGsMv+rr8h54w0ZOJBILhJVVXl//Un+uzwe81+fSX1D+XheP1wctQ1PbsUkHcjh9MFcwdZrZBiB7Txrj7PKsnh739sAdEpzIzxHvPdFj7yKjjEDzr2Q0QBLF9RowdSn2/Uw6omm/wCSBpFBA4nd8MmmRKoNdQ+HAcZCHJP2Cuf0GXstnv6BF39xVYW470RbzyngZB+CM+/vf5+SalE9/LGB9t1iEUA1GilasUKweU2YYJHmKpFIzo1FiUJ8Jqqq4uTqSo8rxwhjh/5ag76yUrCZZxtsSrXstGCPKIpC7Lh2XHVLFIrO7Klahbh1KSx9ZQ/56dYXBrQ5EQNh5tegmL1ErH0CDi5pERc8x11N2KuvWKiM5336GbnvvtsiPkgkbQGTSeWF347y6prjFmM3D2nHmzP74qC172e8pqCvNrJ5sfgS7+LhwKBJog7ZS7teokxfhkulloFHxCwrNx9fRt18x/kXW/tfOPWnaAvqBVM+lp0SrID8G5XYBXmlVXy/U+xPPUWNF3Y2HJycGTi5ialGyVste7bG2IcA4smCk/yY8KNgu6b9NcQExtjIowunbOtWDNnZgs1Ldk2QSC6a8T1E7YLTeeW1/btjxk+oadN3lqqyMg5v+ks431zX4HjBcbLKxDIGe6Z9bz+Chpfh5GepxZB7ppQl/9vNwfVn2v5ud9Q4mNjAy/nyu+HkHy3igue11xL68kvCZw4g94MPyfngg0ZmSSSSvzEYTTz600E+25JkMXb/6C48PbGHkKbfltj7+2lK8sWg9rDpXXByrdtM+ivlL/5I+QNUGBLvi5NBDJSOue2fOLufpyxh71ew80PR5hYAc34Ap/PMlTQJGTSQ2AWfb0miQl8nYBKkz8XpjFiTG3vtJNy8m9i7dp+ZAKJ/VM2ujo1RVdWixaKT1okH+z1oQ68unEIzAUTnnj1xjopq5GyJRNIYPcM8CfMW0zNXx9eUKPgEh9Ixpr8wFrfqF6ElXp+APng4iplTW9LErjP2js5FxX9ABQMmtkOjEx+ojXoTmxefYOV7BygrqmrkCm2EmBthzNOizWSAxTdB6t4GpzQ3XhMmEPLCC5aBg3feJfeTT1vEB4mkNVKpN/KP7/exdG+qxdj/TYjmwbFRKErbDBgUZJYRt07cAAzt4k3UwDrdnjJ9GS/ufBGAjuluRGaLul3dh19J5/5mrWjNOb0FfntYtGkdazoleEc0/QeQnBMZNJDYnMLyar7ZnizYJuoPCMdObm70n9DEHezKIjgiptATM8/iYcgWbE7bzLb0bYJtfo/5hLiHNDLDfjAWFlL6h5gW5jVlsm2ckUhaOYqiMK6HWKLwd9AAINas/WJ+eirJB+Nqj3UaHcNChwnn2HPrxcZQFOg1KpQZ/+6Pb6ibxXjK4XwWPbuLxP05DcxuQwx7AAb/Q7Tpy2DhDMg90eCU5sZ76hSCn3nawp7zxhvkfflVi/ggkbQmSir13PLlbtYeEbO8tBqFN2f14ZZhHWzkmfVRVZWNPyRgqif2qNEoXDGnqxAkeTfuXbLKs3Cp0jDIrCzB1cubUfPPU5aQnwSL59UEUusz4R272Axsy8iggcTmfLn1NKVVdb/8oZXpOGclCOcMmDj9/AqqjXFoKRgq6o41Ougzp2nXakb0RssWi4EugSzoucBGHl0cRb//jqqva4umODjgdd11NvRIImndmOsaHMssITmvppY/slcf/MIjhXHz9ovmJQrb07dTbay2gqfWxz/cgxn/7k/vq8ItxirL9Kz66BDrvz1KdaX9tpa8JBQFrn4Bek4X7eV58O3Umm5ALYDPzJkEPfWkhT375ZfJ//a7BmZIJJcneaVV3PDpTrYn5gl2J52Gj+f2Y0qM5b2sLXFiT5ZFx5u+YyOE4G98bjwLjy4EFQbH++GkNytLuPUfuHh40iiVxfDDbKjIF+3D7oe+tn+ub+vIoIHEppRU6vlya72aL1Xluur9wjmuXt7Ejr+ELgJxZqUJUePBPaDp12smFh1fZNFi8YF+D9h9i8W/KVomlia4jx6N1tvbNs5IJG2Afu188HNzFGxrznZRUBSF2GsmCmNJ+/eSn16XAjssdBgKdTs65YZy9mXvs6LH1kXnqGXEzCgm3NcHVy9Hi/EjWzNY/MJuMhOLbOBdC6DRwOQPoeMo0V6UAt9Pr2k11gL43nADQf953MKe9cILFCxa1CI+SCT2THphBTM/3s6hNPFe5OGk45sFAxkTHdTIzLZBVYWBrT+eFGzuPk70v7Yus8JgMvDM9mdQUWmf4Uq7LPFZt+uQEXQZNLTxRUxG+OlWyDkm2qOugdEt05r2ckcGDSQ25ZvtyRTX2ymKrDiDc55YqjB46iwcnJ2btkBmPKTHibZY2wsgFlQW8OEBUcCll38vruvYOnbqKxMSqIyPF2zeUgBRIrkktBqFq3uID5f1SxS6j7gSZ3dRtyBu9a+1f/Zz8aOnf09hvDW0XjwfkdF+zHlyEB1jLIO9xTkVLHttH7tWJmEytsHWjDpHmPUthJoJ42bFw6IbQF/Z8Lxmxvemmwh85BELe+bTz1C4dGmL+CCR2COnckqZ/uE2TuWIHV783Bz54Y7BDOroZyPPWo5dvyRSXixmtY2YFYWDU10mwXdHvuNY/jGcqzQMPuwrnOvi6cVVC+469yJ//B+cWCvaAqNh2qegaXttK+0RGTSQ2IzyagOfbxGzDMZViLtingGB9Bo9vumLmGcZeIRAp9FNv14z0VCLxUcHPGr3LRb/pujn5cKxLiAAt6HniBBLJJILwlzXYF9KIVnFNS+GDk7O9Bo9Thg/vOFPKstKa49ba+vF8+Hs7sD4O3py1U3dhAdRANWksntlEste20dRTrmNPLQiTh5ww4/g20m0J2+t2XkzGRue18z43bqAgActRXoznnyKQrPvBInkciA+rYgZH20nvUgM3oV5u/DjXUPoGeZlI89ajpyUEg5tEEUf2/Xyo0Mf/9rj1JJU3t//PgCDDvvibFaWMHrBXbh6nuPvKu572GbWVcbV72ynBPtonX450DreUCRtkoU7U8gvq4tMdipPxNmsTnPI9BvQOTiYT70wDFVwcLFo63sDaHVNu14zcaLghGWLxQ7X0Dewr20cukhUvZ6iX8Raaq/Jk1B0tv17lUjaAkM7+ePhJP4urT1cl23Q9+rrUOr1n9ZXVRK/fl3tsbmuweni05wpPmMlb1sWRVHoPjSUWf8dQHBHy7rXrKRiFj2/myNb09tea0b3AJi3DNzN0pyPrYTfHoIW+nn977wD/3vvEY2qSsZ//kPRrytbxAeJxB7YkZjH7E92CM+xAJ0C3Fh69xA6BrT9tn+qSWXjD8eF24/WQcOImXUdIlRV5fmdz1NprKRdhisdMkWB2y6DhhI1eHjji6TsgF/vF20aB5j1Hfi0b6afRHIhyKCBxCZU6o18vCmx9lhRTYwuE7MMfEPDiR4xynzqhXNsJVSIoizEzG369ZoBVVV5dfermNS6NFpnrTMP9XvIhl5dHKWbt2DME4V+vKbI0gSJpDlw1GkY3T1QsK2uFzTw9A+gy0Axqydu9UpMZ3ebo/2i8XUWUz9bYxeFc+EV4MqUh2MZOKEDilmvc0OVkfXfHmP1J/FUlLZOEchG8WkPNy4FJ7OAyd6vYMNLLeaG/z/+gd9dd4pGVSX9sccoXr26xfyQSGzFuiNZ3PTFLkHEG6BPuBc/3jWUEC+XRma2LY5sTScrqViw9b+mHV4BdT//6tOr2Zq2Fadqy7IEZw9PRi+4u/EWlAXJsOhGMOlF+/VvQjuZ3drSyKCBxCYs2XOGnJK6XttdSxNwKssVzhk2ay4a7SXUKe0zK01oPwJ8Ozb9es3AptRNbM/YLtjm95xPsFtwIzPsj6KflwnHLn364NTRtn+vEklbwryLwo7EfArq7WaZCyIW52Rxau8uADSKhuFh4q5NWwsaAGi0GgZc14Gpj8QKD6h/kxiXw6LndpFyJK+B2a2YkN41vci1ZsKQG1+C3Z+3iAuKohBw//343XarOGAykfbwvyhet67hiRJJG+Cnvanc9d1eqg2ihsrQTn58f/tgfN0sRVvbIhUl1Wz/+ZRg8wp0IWZsu9rjoqoiXtpVE9AcdNgXl2rxmf6q+Xfg5i22XaylqgR+mAPl4rsBQ+6B2HmX/gNILhoZNJC0ONUGEx9tqLvRaFQjI0vFLIPADp0sdtMuisIUSNwg2mJse5PRG/W8usesxaJrILf0uMVGHl08xvwCStZvEGxeU6faxhmJpI0yMioAZ4e6r2ejSeWPo3V9v0O7dieoY2dhTtzvdSVD5iUKuzN3U1G/7WwbIriDFzOfGED08FCLsfKian595wCbFydgqG6Zuv8WocMImPYZYLY799vDcGRFi7igKAoBDz+M781mwsJGI2kPPUzJX+tbxA+JpCX5YksSD/94AKNJLAca1yOIL+YPwN3p8inT3P7zKarKxUyLK2Z3RVvvu+vNvW+SX5lPZKYLHTPEsoRO/QfTbdgVDV/cZIJld0D2YdHeeSyMfbZZ/JdcPDJoIGlxlu1LFURjepYcwalSbFMzfPZNQt3uRRP3PVDvpu7kBdETGz29Jfjh2A8kF4udIR6IbT0tFgHKVq8CQ92XhOLkhOe119jQI4mk7eHqqOOKKLFTwJp6JQoNtV88c+QQ2adrSr6Ghg5Fq9Tt6FQZq9iduduKHtsWR2cdo+Z245q7euHsZqmBc3B9Kkv+t4ecMyUNzG6lRE+C6143M6rw022Q1DKZJYqiEPjvf+Nz443igF5P2v33U7q57WW4SC5PVFXljbXHeXblEYuxmf3Def+GWJwdLh8F/4yThRzdJmqQde4fSER0XfnB3qy9/HTiJxyrNQyJFztIOLu5M+a2fzRelvDXs3D8d9Hm3xWmfy47JdgQGTSQtCgGo4kP6mUZ6Ex6hpSILRHDuvWgfZ/Ypi9iMsL+70Vbr+ngYLsas/zKfD468JFg6+3fu9W0WPyb0l9+FY49xo5F6yGVayWS5sa8i8KmE7mU1aufjRoywiKtc9+qmmwDT0dPC2HVttJF4Vx07BvA7KcGEtnD12KsIKOMpS/tIW5tCqqpjYgkDrgVrvi3aDNW17RizDzUIi4oikLQf5/Ae9Yswa7q9aT+8x5Kt25tET8kEmthMqk8teIw7/x10mLsjpEdeXlab3Tay+d1ymQ0sfGH44LNwVnL8Oldao+rjdU8s/0ZAAYe9bEoSxg1/w7cfSzv0wAcWAxb3hRtLj5wwyJwbvvdKOyZy+dTLrELVuxPJyW/riVWn+JDOFaLvW2Hz57XePTxQkjcAEVmauE2rn/6YP8HlOjNWiwObD0tFgGc0tOpPi5+UXhNmWwbZySSNs7obkHo6on8VRtMbDieU3usc3Cgz9hrhTnHtm6kvLgma8u89eLm1M1tr6NAA7h5OXH9PX0YOTtKSJMFMBlVti07yYq34yjJr2zkCq2MK/8N/eaLtqpi+G4aFJxuERcURSH4/57Ca5pYqqZWV5P6j39StmNni/ghkTQ3eqOJBxbv59sdyRZjj47vyuPXdLu059VWyMH1qeSlic/tgyZ0xM3bqfb48/jPSSpKIjzLhc5pYheJjrED6N6YyPmZ3fDLvaJNo4OZ39hck0wigwaSFsRoUnl/Q12k1tFYxYCSA8I5Hfr2I7x7z0tbKM5MADGoF4T0vbRrXgIJBQkWLRav7XAtfQL62MijpuG5Z69wrAsJwW3wYBt5I5G0bbxcHRjSSUzprN9FAaD3mPFo67U6Ner1HFy3CrDUNUgvSyexKJHLAUVR6HVlODMfH4B/hGXbs7TjhSx+fhcndmc1MLuVoShw3RvQ7XrRXpoF306B0pyG5zW3GxoNIc8+i9cksWxGrarizN13U75nT4v4IZE0FxXVRm7/Zg+/HEgX7IoCL07pxT+u7HzZBQxKC6rY9WuSYPMLc6fXlWG1x0lFSXx68FMc9QpD4sVsAidXN8bc/s+G/96KUmuypIxVov3aV6HDyGb7GSRNRwYNJC3G74cySMypi07GFu3HwSDu9gybdYkZAeX5cOw30RY7r+YubwNUVeWV3a9YtFh8sN+DNvGnyRgMeOzfL5i8Jk1EuZTuFhKJ5JyYd1H462gWlfo6QT83bx8LIan9637HaNDTxbsLQa5Bwtjm1Murxtw31I3pj/UndlykhWZgVbmBtZ8fZt2Xh6mqMDR8gdaCRgvTPod2w0R7fiIsnFGjQt4CKFotIS++iOe1YgaMWlHBmTvupDwurpGZEol9UVShZ97nO4XsLgAHrcK7c2K4YVCkjTyzLVuXnkBfJYrKXnFDVzRnyzNUVeXZ7c+iN+kZcNQXtypRGPLKm27Dw9ff8sLVZfDDbCjLFu0D74T+C5r1Z5A0HRk0kLQIJpPKe/XqwVyM5cSUiDWXUYOHWyiCXzQHF9fUdP6N1gl6zbi0a14CG85sYGeGmJp5S89bWlWLRQD3Y8fQlYnpaN5TptjIG4nk8mBsdJAQ7yyrNrLtlNh+KsZMELGsIJ+EHVtRFIWR4eLuTFtsvXg+tDoNQ6Z0ZvKDMbj7OFmMJ+zMYtFzO0k/UWAD75oRB+eaVoyBPUR7ehwsngeG6obnNTOKVkvoKy/jMW6cYDeVl3Pm9juoOHiwRfyQSJpKdkklsz/ZwZ5k8Z7g4qDls5sHcH1vy04tlwMpR/I4uVd8qe8+LISQTnU6A8tPLmdP1h7Csp3pkipmebXvE0uPK8dYXthkgp/vstRh6TgKxr3YbP5LLh0ZNJC0COuOZnE8q263o3/hPnQmfe2xomgYOvPGhqZeOKoK+8xKE7pfD66NiK1YGb1Rz2t7XhNsQa5B3NKz9bRY/Bvz0gSX/v1wbNeukbMlEklzEOjhTP92otjh6nixRCGoQyfCuokvin8LIprrGuzL2kdJdRvqIHARhEX5MPvJgXQZEGQxVppfxc9vxLF9+SmMZr3XWxUu3jD3J/Ay2wVNXA8r/lHzcN4CKDodYa+9ivvo0YLdVFpKym23U3H4cCMzJRLbcia/nBkfbedoRrFg93Jx4LvbBll0tblcMOiNbPohQbA5uekYMqVT7XFeRR6v7XkNB73CULNuCY4uLoy9496GyxI2/A+O/iLa/DrDjC9Be/m0sGwNyKCBxOqoqsq7f52oPXY3lNC7RGxbE33FVfiFRVzaQun7LHu6xthOAHHhsYWklKQItgf6PYCLznZdHJqCITcXNzMBRJllIJG0DOZdFNYdycJgFF/+Yq8Vsw0yTyaQnnCMQSGDcNDUtSA0qAZ2ZOywnrN2jpOrA1ff2oOxC6JxdDF7GFVh3+pkfnplLwWZZQ1foDXgGQLzfgZX8aGdQz/C2idqgustgOLgQNibb+B+hVg+Yyou5syCW6k8dqxF/JBILpTjmSVM+3AbyXnlgj3Qw4kldw6hn1kA93Iibm0KRTkVgm3olM64uDvWHr+651WKq4vpf8wHt0rx/nrFvFvx9G8g4BL/E2x6RbQ5e8GcxTUdEyR2hQwaSKzOhoQc4tPqorYDC/agUetqojRaHUOn33DpC5lnGXhHQocrGj7XyjTYYjGgN9d1aF0tFgHKfl+FUm+HSnFxwWPceBt6JJFcPpgHDQrK9ew+LabNdu4/GA+zB7J9q37B1cGVAcEDBPvlpmvQEFEDg5n13wGEdvG2GMtJKWHJC7s5tCG19Xab8O8MN/wIDq6ifccHsPXtFnND4+hI2Dtv4zZ8uGA3FhWRcssCKhMSGpkpkbQs+1IKmPnxdrJLRBG+SF9Xlt41lK7Bl29r6aKccvauErtHBHXwpPvQkNrjbWnb+C3xN0JynOl6Rvy7iuzVl15XieVKAKTtheX/EG2KFmZ8XXMPk9gdMmggsSqqqvLun3VZBt7VBXQvFXet+4y9Bs+AwEtbqLq8JmJZn75zQWObj/h7ce9Rqi8VbI8NeKzVKe2aqqooWbZMsHlefTVadzcbeSSRXF5E+LrSI9RTsK0x66Kg0WqJGSeq55/YuZWS/FzL1otpmwVh1ssVTz8XJj0Yw5ApndBoxfuyQW9i06IEfnv/IOXFLaMF0OyE94OZ39a0K6vPH/8Hcd+3mBsaJyfC33sX1yFipx1jQQEptyygKvHy6OghsV82n8hh7mc7KarQC/ZuwR4svWsIkX6ujcxs+6iqyubFJ4SyLUWpET9UzrYErjBU8OyOZ9EZFIYdEjOcHJycubqhsoTidPjhBjATQ+eal6FTI+0YJTZHBg0kVmX7qTz2pRTWHg8q3IOGut0bnZMTg6bMvPSFjqyo6U1diwJ9myF7oQkczz/OTyfEAMb1Ha+nd0Bvm/jTVFRVJfP/nsaQLEaYvaZObWSGRCKxBuPNsg1Wx2diMom74L2uGofOqU7oz2Q0cmDt7xatF3MrcjmWL1PDATQahdhx7Zj+WH98gi1fDJLj81j03E6SDuY2MLsV0GUMTPrA0v7LvZCwpsXc0Dg7E/HBB7gOELNejHl5pNw8n+rTp1vMF4mkPr8fymDBV7sprxY7AvRr58PiO4YQ6OlsI8/sg6T9uSTH5wm2XqPCCYioyyb46MBHpJWm0f+YD+5mZQkj5y7AK9BMR6a6vKa1YqkY/Kb/AhhwW7P6L2leZNBAYlXeqadl4F+VS1TZSWE89pqJuHk3Q91SnFlpQqerwPsSNRKagKqqvLr7VWEnz0Xnwv2x97e4L5dKwXffU7R8uWBz6NIZ1wH9beOQRHKZYt56MbO4koNpRYLN2d2dHiOvEmwH/lhNqHMwkR6iMJ4sURAJiPRg5n8G0OvKcIuxihI9v39wkA3fH7NoNdYq6DMLrn5BtKlGWHIznNnVYm5oXFyI+OhDXGJjBbshJ4fkm+dTnZLSyEyJxDos2ZvGPQv3oTeKAdgrogL49taBeLk6NDLz8qC60sDmJWIJkauXI4MmdKw9Pp5/nK8Pf01wrjPdUsSyhIjoXvQZY1bKqqqw4p81XV3q034EXPOKzdqjSy4MGTSQWI3dp/PZkZhfezy4QHxAcXJ1Y8CEaZe+UN4pSN4q2mJtI4C4/sx6dma2/haLZTt3kfXSS4LN5OhIwP/+h2Kjkg+J5HKlc6A7HQPEkiDzLgoAMeNFQcTKkmKObdkoWy9eADpHLSNnR3H9PX1w8XS0GD+8OZ3FL+wi63RxA7PtnKH3wND7RJuhAhbOhJzjDc+xAho3NyI++RiXPn1EV7KySJ4/n+rUtBbzRXJ580eawv+tPI5ZwhYT+oTy6U39cXWUqv17fj9NaYGo8TB8epdaEVmjyciz259F0ZsYdkjsUqZzcuLqu+63fF7c9CocFkte8ekAM78B7eUdpGkNyKd/idV496+6rIKQygw6VIhp7gMmTsPZ3d182sVjnmXg4gtdr730614k1cZqixaLwW7BzO8xv8V9uRT06emkPfAAGMVdtcxZM3Hs1KnhSRKJxGooitJAiUKGhVCfX3gE7XrHCLZ9q35heKgoRHcw5yAFlaKYoqSGdj39mPPkQDr08bcYK8quYNkre9nzexImYyvThRjzDPSZI9oqCuDbqVDUci/rWnd3Ij79BOeePQW7IT2DlPnz0WdktJgvkssPVVVZkazh1xStxdjcwZG8Nasvjjr5apSXXsqBP84ItvBuPnTuX6c/tvj4Yg7mHqTfcW88KsQX/hFz5uMdZLZZdmQFrDfLenLyhBsW26w1uuTikL8ZEquw/0whmxJyag5UlSEF4u67q5c3MddMuPSFjAbY/4No6zMbdE4Nn29FFh5dyJkS8Sb7YOyDrarFoqmyktR77sVYIL5Q5F11FaVmD3kSiaTlMC9ROJ1XTkJWqcV55u0Xc1NOE5zvJNyHVFS2pm81nyo5i4uHI9fc1YtRc7uhcxQfk0wmlZ2/JLH8jTiKcysauYIdotHAxHeh81jRXpwK302F8vyG51kBracnkZ99ilP37oJdn5pK8s3z0WdltZgvkrZPUbmejQk5vPVHAjd9Hcdf6ZavPvde1ZnnJvVEq5Hp8aqqsumHBEE3R6NVGDk7qlbQMKssi3fi3iEo34nuyaJQb1i3HsSMM+sUlnEAlt0p2hQNTP8SArpa5eeQND8yaCCxCu/VyzKIqEglrFLcPRg0ZSaOzs3wMn1ynaWYSkzLlybkVeTx8cGPBVufgD5c0+GaFvelqaiqSsZTT1F55Ihgdxk5gryxY2zklUQiAegV5kWolyjK1VCJQoc+/fAJCRNsh9asZlDIIMEmdQ3OjaIoRA8PZdYTAwls72kxnnGqiEXP7+LYdsuMD7tF6wAzv4YwM12anGPww5wagbKWcsXbm8gvPscpKkqw61NSSLl5PoacnBbzRdJ20BtNxKcV8e2OZB5asp+rXt9An2fXcvMXu3jrjxPsSS60mPPf67rz8NVdW113K2uRsDOT9BOFgi1mbCQ+wXUlcv/b9T8qK8sZdlDslqBzdGLcXfeJZQklmTX3F4NZkPXqF2rEWiWtBhk0kDQ7R9KL+ePo2Z2CBrIMPPwC6D2mmV6m95mVJoT1g6Do5rn2RfDe/tbfYrHgm28o/uVXwebYvj0Bzz9vs9aVEomkBkVRuNqsRMG89SKAotEQM15sv3hq706GuPQVbFvTt2I0tUJhvxbGO8iVqY/E0v+69hYaXfpKI39+fZQ1n8ZTWapv+AL2hqMb3LAE/LqI9jM7YOmCmuy9FkLn40Pkl1/g2Fkse6s+fZrkW27BkJfXyEyJpIaMogp+P5TBi78fZcZH2+j19Bquf3cLTy6PZ9m+NBJzyhqdq1UUXpvRh9tGdGz0nMuNyjI9W38SBcs9fJ3pd2372uO/Uv7iz5Q/iT3ujWe5WJYwfPY8MWitr4RFN0KxWQlU7E0w+O7mdl9iZeSbgKTZeX993Q2nU3kSQdXijsGQGXPQOTSD4ElJFiSsFm02yDI4nn+cZSdEYZcJHSfQK6BXi/vSVMp27CDrlVcFm8bNjfD330Pj4dHILIlE0pKYlygcySgmJc9yd7jHlWNwcq0nnKiqeB4uEc4pqiriUO4hq/jZ1tBqNQya0JGpj/TD09+yBdupfTksem4nZ462XIr/JeHmB/OWgUeIaE9YBSvvr1E4byF0fn60+/JLHDt0EOzVJ0+RcssCDAVSe0NSQ3m1gR2JeXy08RR3fruHQS/+wZD//cU/vt/HJ5sS2X26gEr9hWmNuGhV3prZk+n9LDumXM7s/CWRihIxADpidhQOjjUaEKXVpbyw8wUC852IPi0+G4ZEdRPLjlW1pr1r2h5xkXbD4NrXZaeEVogMGkialZPZJfweX1OKoKgmi44JPiFh9Bg5unkWO7iopnXU3zi4Qs9m6MZwEaiqysu7X27VLRarU9NIe+BBC+HD0FdfwUkKH0okdsOA9r74uYnK/g1lGzg6u9BzlFi7nrRlG13dxN/nTambmt/JNkxwRy9m/Xcg3YaGWIyVFVXzy9v72fLjCQz6VpDB4R0Jc5eBs5doj/sO/nq+RV3RBQQQ+dVXOLQTW4NWJSSQsuBWjIWFLeqPxPaYTCons0tYsucM//n5ENe8vZleT69l9ic7eGnVMdYcziKruOr8FzqLo05DbKQ3Nw+O4OYuRp6KNTKmW4AVf4LWR3ZyMfGbxIyA9r396dC7ThT23bh3ySvJYdghPxTqXvq1Dg6Mv/sBNJp6ApNb3oBDS8RFvCNh5regs+xQI7F/ZE8RSbPy3l8nazcpupaewFcv7hIMmzUXjdZStfaiUVXL0oToyeBsWXtqTf5K+YvdmbsF24KeCwhyC2pRP5qKqaKC1HvvtXgo87/nHjyuuqrhSRKJxCZoNQpjo4NYtLtOcHX14UxuH2mZXhsz/nr2/f4L6tmAZnVFOUPzozjudKr2nC1pW7gv9j6LuZLGcXTWMfqm7rTv6cf6749RVSam8x/48wypx/IZu6AHfmHN0B3ImgRFw5xF8O0UMFTW2Te/Bu6BMOjOxuc2Mw5BgbT76iuS592EPjW11l519Cgpt95G5JdfoPVs2e93ScuRV1rF/jOF7D9TSFxKIQdSCympbHqpTHs/V/pGeBMT6UPfCG+6h3jiqNNQUVHB2rVJzeh528BkUtm48DjUSzLSOWgYMbOujOlQziF+OPYD/RK88CoTs4WHzZyLb2i9rI1jv8Gfz4qLOLrDnMU1mU6SVokMGkiajdO5ZfxyIB0AjWpkYKH4Mh3QviNRg4Y1z2JndkLeCdEW27KlCa29xaKqqmT890mqjh4V7O6jR+P/D1lrJpHYI+N6BgtBg73JBWQXVxLoKabNewUG06n/QE7u3lFrcz6YC/3h7w2io/lHyS7PJtA1EMnF0Sk2kOCOXvz59RHOHDXrNpNWxpL/7WbI5E70uSoCxZ4V2dsNhelfwOK5UC9jjlWPgZt/i2bvOYSEEPnVVyTfNA9Dep14cuXhw6TcfjuRn3+OtjnaNEtsSpXByNGMEuJSCmqDBCn5TRfh9HTW0edsgCAmwps+Ed74usmd7IvhyJZ0spPFErb+17XH079GsFxv0vPM9mfwK3QgOkkM3gV3jqLf9ZPrDJmH4KfbzVZQYNrnNtEckzQfMmggaTY+2HCSvzu09Cg5ipdBvAENnz1PVFS9FMyzDPw6Q+SQ5rn2BfLd0e9ILU0VbA/1ewhnnWXNqz2S/8WXFP/2m2Bz7NiR0Jdfar5/J4lE0qwM7eSHh5OOkqq6Xbg1R7KYN7idxbmx10wUggYVOfl0yfflhF9d7f2WtC1M7TLVuk63Udy8nZhwb18Obkhl+7JTGA11L90mg8rWpSdJjs9j9M3RuPu0fBvgC6bbdXD9W/Br/awTtaZFmosvdBrVYq44hofVZhwY6rVerDxwkDN33Enkp5+gcXM7xxUk9oSqqqQWVBB3prA2SHA4rZhq44VpD5ij1Sh0C/YQsgg6+ruhsefAnJ1TXlzNjuWnBJtPsCt9x9SVC3135DtO5h5nwsEQNPXLEnQ6sSyhNKemU4LeTIBy7DPQdbzVfgZJyyCDBpJmIbWgnGX7amqhdCY9Awr3CuOhXaPp0Ld/Q1MvnqoSOPyzaIuZ26KiKrkVuXxy8BPB1jegL+Pbt46bYunWrWS//rpg07i7E/7ee3InRyKxY5x0Wq7qHsiK/em1tjXxmQ0GDcKjexEQ2Z6clNO1tv5pQULQYHPqZhk0uAQUjUKfqyII7+rDui+OkJcmdtFJPVbAoud2cuWN3ejcz44zOvrdDKXZsL6enoFJX5OBMP83CO3bYq44RkbS7uuzgYN6rRcr9u3jzF13E/HxR2hcXVvMH8mFU1Kp52BqkZBFkFdW3eTrhXg50zfCuzZI0CvMCxfHZihxldSyfdlJqsrFUpCRs6PQ6mo2j1JLUvlg/wf0OeGNd6mYwTFk+g34hZ8NLhiqau4XRWeEc+hzAwyVZXBtARk0kDQLH208heFsmkHv4njcjGKq2YjZNzVf+8H4ZWIUU9HW3JRakPfi3qPMLJL62MDW0WKx+swZ0h56GEz1Iv2KQuhrr+LUsUPjEyUSiV0wrkewEDTYkZhHYXk13q7iA52iKMRcO5G1H71Ta3NKLcergwNFHjUK2dsztqM36nHQNkNHm8sYvzB3Zvy7Pzt+SWT/uhRhrKrcwJpP40k+FMyIWVE4utjpo9fIf0FpFuz+tM5WXQrfT4db14Jvy7Wmc2zfnsizgQNjvdaL5bt3c+Yf/yTiow9bzBdJwxhNKglZJWeDAzVBghPZpU1uvuHioKVXuBcxEd7ERHrTN8KHYK/WkbnZWkk/UcCxHaKYbpcBQYR38wVqMkWe3/E8bnkmeiaKZQlBHTszYOLZ8iVVhZUP1rRurU/EIJjwluyU0Eaw028uSWsis6iSJbtr0vQdTVX0K4oTxtv3iSU8umfzLRhnVpoQNQ48Wk548Fj+MYsWixM7TaSnfzP+jFbCVF5O6j/vwVRUJNgD7rsXjyuvtI1TEonkorgiKgAnnYaqs+nwBpPKn0ezmdZA+7Duw65k8/dfUVFSXGuLPu3B9l412QZl+jL2Ze9jUMiglnG+DaN10DBsWmfa9fDlj6+OUlYoqrsf25FJ2olCxt4STUhnb9s4eS4UBa55Gcpy4MjyOntZTo1Y4q3ragQSWwinjh1p99WXJN90M8Z6rRfLd+wg9Z/34Pf6a+eYLWlusosriasVKyzgUGoRZdVN7xTSKcCttsQgJtKbrkEe6LSyNLKlMBpNbPwhQbA5OmsZNr1z7fGqpFVsP7PVoixBoz1blvC3sPm2d2H/9+ICXhEw6zvQ2XFpluSikEEDySXzyabE2vq0mKIDOJvEB6Xhs29qvsWyj0GqKLBITMsJIKqqysu7XkatJzHbWlosqqpK+hNPUJUgfkl4jB2L350tp5ItkUguDTcnHSOjAlh3pK7me/XhzAaDBjpHR3qPuYadPy+utXVO92Bv10KqHWvu25tTN8ugQTMS3s2X2U8OZOPC45zcmy2MleRV8vPr++h3TXv6X9cerb29JGm0MPUTqMiHpHotOQtOw3fTakoVWrBLkVOXLkR++QUpN8/HWC/YXbZ1K6ZHHkEZPx5VJx9lm5tKvZH4tKLaEoP9ZwpJK6xo8vV8XB1qAwR9z4oVernI7CZbcvDPVPLTxYzZQZM64uZV85JfVFXEy7tfps8pL3zMyhIGT5uFf2T7moOENbDuKfHiDm4w54cWDTJKrI+800ouidzSKhbuSgbAxVhO36IDwniXQUMJ6ti5oalNwzzLwD0IulzdfNc/D3+m/MmerD2C7bZet7UK9fG8zz6jZNVqwebYuRMh//ufFD6USFoZ43sEC0GDTQk5lFUZcHOy/Frve/W17P5lKSZjza6g1ghRZ9yJ71STfbA5bTP/GvCvlnH8MsHZzYGrb+tB+97+bPrhONWVdTuyqgp7fj9NyuE8xi7ogXeQndXn65xg1vfw1bU1Suh/k3kQFt8INy5t0d1D527diPjic1JuWYCpuC5jpmLzFkLy8kmfe2OL+dIWUVWV03nlgg7B0Yzi2pLTi8VBqxAd4ilkEUT6uraK8s3LhZL8Snb9Jrae9I9wp+fIsNrjN/e+CVml9DoVLJwX0L4jAyfNqDnIPgpLb0Xo1Qg1gcfgXtZwXWJDZNBAckl8tjmJSn3NblW/wjgc1ToxFUXRMGzm3OZbzFANB34QbX3mgLZlPsYNtVgMcQvhpuhmzKSwEqWbN5PzxpuCTePpScT776N1l0rUEklrY3T3QHQapfbBvspgYmNCDtf2CrE4193Xj6jBwzm2dWOtrVuyB4c7FKNqILEokdSSVMI9LDMVJE1HURS6DgompJMXf3x1hIyTYllYdnIJi1/YxfAZXYgeHmpfL1XOnnDjT/D5WChMrrMnbYJld9S0adS0nCCdS48eRH7+WU3goLRObNL9yBFCFv6AOmYMuLi0mD+tmcLyavafLTP4+7/Ccn2Trxfu4yJ0M+gR6omzgxQrtGe2/ngCQ1W90hIFrrihK5qzmU97Mvfw8/GfuP5gCBq1flmClvF3P4BWp4OyPFg4C6rFTmmMfgq6X98SP4akhZFBA0mTKSir5tvtpwFwN5TSq+SwMB49clSdqmpzkLAKyvNEWwuWJnx75FvSStMEW2tosVidnEzaw/9CUCdSFMJefw3HdpaK6xKJxP7xdnVkSCc/Np/IrbWtjs9sMGgANe0X6wcN3Ct1RGa5khxSI1q7OW0zc7rNsa7Tlyme/i5MfiiWuLXJ7PolCVO9HVxDtYkN3x/n9KE8Rs3thqunHfWX9wiCeT/D51dDed3njCPLYVUAXPtqiwqcufTqRcSnn3Dm1tswldeJLXvEx5Mx/xbCX30Fp06dWsyf1oDeaOJ4ZglxKQU1egQphSTmlp1/YiO4O+noHe5VK1TYN8KbAA9Zs96aSI7P41RcjmCLHh5KcAcvoGaD7Jntz9DrlBe+JeL9aODkmQS271izibdknhhQBOg1E4Y/ZFX/JbZDBg0kTebLrUm1IjgDCvegU+uilhqtjiHTm/kBdJ9ZaULkUPBvxtKHc5Bbkcunhz4VbDGBMYxrP65F1m8qxtIyUu+5R0jpBAh48EHcR4ywkVcSiaQ5GNcjWAga/HUsmyqDESed5S5fSJeuhHTuSsbJ47W26NMedUGDVBk0sCYajUK/8e2J6O7Lui+OUJgldhg6fTCXRc/t5KqbutO+l7+NvGwAv04wdyl8dX1NJ4W/2f1pTVBh5CMt6o5rTAwRn3xMyu13oFbU1dhXHzlC0tRpBD78ED5z516WJXeqqpJRVCl0MziUVlSbDXqxKAp0DfKoLTHoG+FD50B3tBo7yoiRXBSGaiObFh0XbM7uDgyZVBds+/zQ5xSlpjHypBiA9o9sz+CpM2s2oH5/GJK3ihcP6wcT35WdEtowMmggaRLFlXq+3HYaAC99IdElx4Tx3mPG4RUY3MDMJlKUBqf+FG2xLZdl8G7cu5YtFgfYd4tFVVXJePxxqk6cFOwe48fjd/ttNvJKIpE0F1dHB/HkivjaJKLSKgPbTuUxqmvDGisx104k451Xa4+DCpzxK3Ikz6uaXZm7qDBU4KKTKd7WJLCdJzOfGMC2pSeJ3yRmrlWU6Pnt/YP0HBnG0OmdcbCXfvShMTUq6N/PAFO9NPa/nge3QOh3c4u649q/PxEffcSZO+9EraystatVVWS9+D9K/vyL0BdfwCEs7BxXaf2UVxs4mFp0VqiwJkiQVVx1/omN4O/uREzk3wECb3qHe+PegEaKpPWyb00yxbmVgm3o1E44u9eIUiYWJfLZgU8Zd9BPKEtQNJqzZQkOsOND2PeNeGHPMJi9EBzsO/NWcmnIu4GkSXyz7TQllTX6BYMKdqOpJ4Kic3Ri0JRZzbvg/oWg1ouWO3pA9KTmXaMRjuYd5ecTPwu2SZ0m0cO/R4us31TyPv6YknXrBJtTVBShLzxv18EOiURyYQR6OhMb6cPe5Lp2dGviMxsNGkQNGsYmn88pLcivtXU/7cGWPnlUGavYnbmbkeEjre735Y6Do5YrbuhKu15+/PXNUSpKxHry+E1ppB4vYOyCaALbtVyngnPSaRRM/dhS9GzlA+AWAN2ubVF33AYNJPiLzzl9/wM45Yip1uU7d5I4cRJBTzyB15TJbeL7zmRSOZVTSly9bgbHM4tpolYhjjoNvcK86mUReBPm7dIm/q4kDVOYVc6+NSmCLaSTF90G12QUmFQTz25/lm4nXfArFktOBk6aXiNqfuIPWPMf8cI6l5qAgUczbhRK7BIZNJBcNGVVBj7fUqO66l+VS9cycSc75poJuPv4Nt+CJpNl14Re08DR+gJ+qqry8m7LFov3xd5n9bUvhZING8h5+x3BpvHyIvz999C4SeFDiaStML5HsBA0WHskixemqA2mEGt1OvqOu54ti+p2iTqku7G3WwEVTiY2p26WQYMWpH0vf2Y/OYj13x7l9CFRr6cwq5yfXt7LwIkdiLm6HRp7SAnvOQ3KcmHVo3U21QRLb4F5y6HdkBZ1x6l7d1Luvw//1Wvw2bJFGDOVlZHxn/9Q8uefhDz7DDo/vxb17VLJK62qFSmMSynkwJlCSqoM55/YCO39XIVuBt2CPXHUXX4lHJcrqqqyeXECRkPd5puiURg5pyvK2XvL8pPLOXXyIBNOiGUJfuGRDJ42B3ISan7XVbNylykfQWhfa/8IEjtABg0kF833O5MpOKu0O6hwlzDm6OLKgInTmnfB05stxVZiWqZjwR8pf7A3a69gu73X7XbdYrEqKYn0fz0iCh9qNIS9/jqOERG2c0wikTQ743oE88LvR2uP88uq2X06n8EdG35J6jV6HDt+WoRBXw2AVlXomuzB/qgiNqdtRlVVudvYgrh6OnLtP3pzeHN6jaJ5vfpzk0llx/JEkuPzGDM/Gk9/OygdGXQnlGTCljfqbIZK+GEW3LIagqJb1B3VwYGcCdfT7aZ55D39NIb0DGG89M8/SYyLI/iZp/EcO7ZFfbtQqgxGjqQX1wYI9p8pJCW//PwTG8HTWUffegGCvuHe+LjZkcCmpMU5tS+HlCP5gq33VeH4h7sDkFeRxxu7XmfEQT+09csSFIXxdz+ATl9S8zteJepjceV/oMdka7svsRNk0EByUVTqjXyyqSbLILgyk47l4sv8gAlTcXH3aN5FzbMMAqMhLLZ512iAKmMVr+95XbCFuoUyL7rltBQuFmNpKan33Cu0pAIIfPgh3IcPs5FXEonEWkT6uRId4smRjLqHudXxmY0GDVw9veg2/Eri16+ttXVN8eBgpyLSStNIKkqio3dHq/stqUNRFHqODCMsyps/vjxCdrLYwizjZBGLn9/FyDldiRoYZPugzuinoCwb4r6rs1UWwXdT4da14N2MXZMuEJcBA+i4YgVZ/3uJomXLhDFjfj5p995H6eTJBD3xH7QezfyMchGoqkpqQQX7zgoVxqUUciS9mGpj08QKtRqFbsEetUKFMZHedPBzs4/MFIldUF1pYMuPJwSbm5cjA6/vUHv8yu5XiDgO/kViWUL/idMI7tCh5nc7P1G8cI8pcMWjSC4fZNBAclEs2pVCbmkVqCpDCnYKYy6eXsReO7F5F6wogCO/iLaYeS2iztpgi8X+9ttiUTWZSH/s31SfOiXYPa+9Ft8FC2zklUQisTbjewYLQYM1hzP5vwnRjb5cxl47UQgauFRr6ZDhxqnwMjanbZZBAxvhE+zG1Ef7sXtlEvtWJwvJYtWVRv748ginD+VyxZyuOLs52M5RRYHr364pVUhYXWcvyYBvp8KCNeDW8uUAWg8PQl98AY/RV5Hx5FMY88Wd1aLlyynbuZPQ/72I2+DBLeJTSaX+rFhhXZAgr6y6ydcL8XIWuhn0CvPCxV4EMyV2ye6VSZQVigKZw2dG4ehc8wq4NW0rWw+tZeKJUOEc39Bwhk6/AVY9BkmbxIuGxsCkD2SnhMsMGTSQXDBVBiMfbayJNEZUphFemS6MD5o8E0cX1+Zd9NBSMNa72WkcoHcziyw2QE55Dp8eFFssxgbGcnW7q62+dlPJ/fBDSv8UO0w4detGiBQ+lEjaNON7BvPGuoTa44yiSg6mFtEnwrvB8wMi2xPRozdnDh+stXU/7cGpsDI2p27m5h4tq4YvqUOr1TB4Uicie/jxx5dHKMkTlc5P7skm81QRo+dHE97Vx0ZeAlodTP8Svp0MZ+ptIOSdgIUz4eZfWkR3qCE8Ro/GpW9fMp9+mpJ1fwhjhowMUubfgs9N8wh86CE0zs23CWA0qSRkldR2M4hLKeRkTqkQ/LkYXBy09Ar3quloEFETJAj2ss9NC4l9kpdWyoG/UgVbRLQvnWIDAKgwVPDctucYdtAfranec6KiMO7u+9Ht/xr2fC5e1D24RvjQsZmf9yV2jwwaSC6Yn/amkVlcWZNlkC9mGbj7+dNn7DXNv6h5W5du17XIDsa7ce9SbqirKVRQeHTgo3b78l3y11/kvvueYNN6exP+3ntoXOygDlYikViNLoHudPR3IzG3ri3s6sOZjQYNAGKvmSgEDfyLnQgscGKvZi+l1aW4O7pb02XJeQjt7M3s/w5k0+IEju/IFMZKC6pY8VYcfcdEMnhiR7QONhK0c3SFOYvgy2sgp17b5bQ98OP8mhcLrW0yInR+foS98w5FK1aQ9fwLFiV7Bd98S9mWrYS+/BIuvXo1aY3s4sp63QwKOJhaRHm1sck+dw50F7oZdA3yQKeVYoWSpqGaVDYuPI5ar8WGRqcwclZU7bPshwc+xDu+mMBCUby833WTCdVm1mQZ1EfnDHMWgqeYlSC5PJBBA8kFoTea+GBDTZeEjuWnCarOFsaHTJuDzrGZhXYyDkDmQdEWa309gSN5R1h+crlgm9R5Ej387LPFYlViIumPmNWVaTSEvfkGjuFtu0+1RCKpqYm/ukcwH22sK01aE5/Jo+O6Nhro7NhvAF6BQRRlZ9Xaok97sME3lx0ZOxjTbozV/ZacG0cXHWPmR9Oupx8bFx6nqryeer4K+9elcOZoPmMXROMXaqMgj6svzF0Gn18NxfV2NE+shV/uhckf2iyFWVEUvCdPxm3gQNL/8wTlO3YI49WJiZyePQf/O+/E/+67UBwaD3BU6o3EpxUJYoVphRVN9s3XzZG+Ed61QYLe4d54udiw5ETS5ji2I5OMU0WCLXZcO7yDajIEjucf5+edC7k+QRT29g4OZdjoIfDNeFDNgmCT3oewflb1W2K/yKCB5IJYHpdGakEFimpisJmWgU9IKD2uGN38i+4zE0D0DIeOo5p/nXqoqsrLu8QWi646V+6Lsc8Wi8aSElL/8U9MZWWCPfDRR3Ab0rLtryQSie0Y31MMGiTmlnEyu5QuQQ2Lvmk0WmLGT2DDN5/V2iKzXHGr0LI5bbMMGtgRXfoHEdLJiz+/PkrqsQJhLC+1lB9f3MOQqZ3ofWV4bfu0FsUrDOYtgy/G1egQ/c2BH8A9EMY+2/I+1cMhNJTILz6n4PuFZL/2GmpVvZJHo5HcDz6gdMMGQl95GafOnVFVlaTcMiFAcDSjGIOpaXUGDlqF6FAvYuplEUT6utpt5qKk9VNZpmfbMrEduqe/M/3GtQPAaDLyzNanGXLQG52pXjaLojBuwQIcfppXI25an5GPQK/p1nZdYsfIoIHkvBhNKh9sqHkYjSo7iZ9efGgZOuNGtLpm/ijpK+DQEtHW9wbQWFfwZ23yWvZl7xNst/e+nQDXAKuu2xRUk4n0Rx6l+vRpwe45YQK+N8uaZInkcqJ3mBchXs5kFNXVwK+Oz2w0aADQc9RYti75Hn1lzY6pRlXoluzBZl/ZetHecPdxZuJ9fTnw1xm2Lz+FyVD3Ams0mNiy5ATJ8XmMvqk7bt5O57iSlQjoCjcsga8ngqHeDvzWt8EtEIbe0/I+1UPRaPCdNxe3YUNJf+zfVB46JIxXHjnCiclT2TBiOp8HD6SgoullBuE+LsTUa3kYHeKJs4MUK5S0HDuWn6KyVC/YRs7uiu6saObi44sx7E0mqEAsS4gddx3hB1+GPDHgQPcJNe0VJZc1slhKcl5WHkwnKbcMjWpkUMFuYSwgsj1dh4xo/kWPrrSMcsbc2Pzr1KPKWMUbe94QbGHuYXbbYjH3vfco3bBBsDlHRxPy3LPyYV8iuczQaBTG9QgWbKsPZzZydg1Orm4WWWJRZ9wpKMnlWP6xRmZJbIWiUeg7JpIZ/x6Ab6ilyOCZI/ksem4Xp+KyG5jdAkQMhBlfgWL2grz2CTi4pMEpLY2mXXtKX/uQtCnzMJltQmgNekav/4F/r32XwLL8Rq4g4u6kY1hnP/45qhOf3tSf3U+MYctjV/HunBhuHd6B2EgfGTCQtCiZSUUc3iIKlXeMCaBdzxo9sMyyTD7f9C79jnsL53gGBjHc7xSc+ku8YHAvmPIxaOQr4+WOzDSQnBOTSeX99TURx+iSY3gZioXxYbNvQrHGjSTOTACxwxXg077516nHN4e/Ib1MvNE+1O8hnLQ22LU5D8Xr1pH7wYeCTevjQ/h77zarGrREImk9jOsRzFfbTtceH04v5kx+ORG+jatcx4yfwP41K2uPnfRaOqa7sTltM939ulvTXUkT8Q93Z8bj/dmxPJEDf54RxirL9Kz+OJ7uQ0MYPrNLbVu1FqPreJj4Lqz4h2hffneN/kHnlit7UVWVjKJKoZvBobQiqgwmoA+dR/rxyN6FRJaIQZbeeYl8uP51Puo1iXWRA2o1GTQKRAV51JYYxET60CnAHa0tSkIkkgYwnRU/rFdhi85Jy/AZXWqP/7fjRWL3u4llCcD4UV1x2PeCeEG3QJj9g806oUjsCxk0kJyTtUcyScgqRWsyMKBwjzAWEtWNjrEDmn/R/CTLnrCxNzX/OvXIKc/h00Nii8V+Qf0Y226sVddtClUnT5Lx2L9Fo1ZL2Ftv4RAqFW0lksuVAe198HVzJL9eH/g1hzO5bUTHRuf4hobRIaY/SXF19/fupz3YfGYTd/S+w6r+SpqOzqHmRaBdTz/+/OoIZUXVwvjRbRmkJRQwdkEPgjt6taxzMTdCWTb88XSdzWSAxTfB/F+tJqRWVmXgUFqRECTILqlq9PyT3uHce+WD3HRkFVNObUZTX8vIUMVDcUuYWHqSzNsfoEePDvQO98bdST42S+yX+I1p5J4RO4UMuK49Hr41m0l/pvxJ+pbdDM4Xu5D1HRJLRPzL4sW0jjD7e/COsKrPktaDzDWRNIqqqrz7V02WQe+SeNyN5cL4iNk3WScNfv/34rGzN3S7vvnXqcfb+96mol4dpoLCYwMes7s0f2NxMWf++U9M5eK/RdBjj+E2aKCNvJJIJPaATqthbPcgwbY6/twlClDTfrE+PqWO5BxLoLCysDndk1iBiO6+zH5yEJ1iLHV3inMrWfbaPnb9mojJaGpZx4Y9AIPNsg30ZfD9DMg92eCUi6XKYGRXjsLiUxqmfLSLXk+vYfYnO3h59THWHM46Z8Dgb6q1DnzWayJPXnE3BR6W7Zw7n9jHFf+7n56n9smAgcSuKSuqYueKU4LNJ8SNPqNrXvpLq0t586//0e+4j3COu68PI8q/qwns1WfiezUlRxLJWWTQQNIo649nczi9GAdTNf0KRXHAdr1jiOjRu/kXNRlh/0LR1nsmOFgv5f5w3mFWnFoh2KZ0mWJ3qbmq0Ujav/6FPjlFsHtNnozPvLk28koikdgT43qKQYO9KQVkl1Q2cnYN7XrH4BMWLti6JbmzNX1rs/snaX6c3R0Yd0dPRt/cHQcnsX5eNans/u00y17bR2F2eSNXsAKKAle/AD3N1NbL8+DbKVCccUmXT84rY8IHO/n+pJZt2RqOZZVyMc0NOvi7MSUmjGcn9eCXe4ax6P1/Mmj9arymT7M411hQQNp995P+2GMYi4sbuJpEYnu2/XSS6kpRwPPKG6LQamte9d7d9w7ddoGDUXz1uyYsEcfqPPFiwx+EPrOs6q+k9SGDBpIGUVWVd/6s2Q2IKTqAi0mM2A+fZSVxwFN/QXGaaIuxnhDh3y0W6+Pm4Ma9Mfdabc2mkvPOu5Rt2izYnHv2JPiZp+0uI0IikdiGoZ38hR1RVYV1R7LOOUdRFPqZZRtE5Liy7fAfVvFR0vwoikK3ISHM+u/ABssRspKKWfzCbo5sSUdVm9Y68KLRaGDyh5atkotS4PvpUFHYpMsm5ZYx6+MdnCk4dzDsbzyddYyMCuC+0V348pYBxD05lvX/upI3Z/XlpiHt6R3ujaNOg9bdndDnnyf8gw/Q+llmHRSt+IXEiZMo27atSX5LJNYi9XgBCbvE+3zXwcGEdqnJKjiYc5C9a1cSkiduwPVupyXSEC9erOu1cNVTVvVX0jqRQQNJg2w9mcf+M4U4GyuIKTogjHUeMITgzlHWWXifmQBiSB8IsUJGw1nWJK8hLjtOsN3e63b8XfyttmZTKF69hryPPxZsWj8/wt99B42T/Qk1SiQS2+DsoGVUt0DBdiElCtEjrkJxdhRshdviMZqa3npO0vJ4Bbgw5eEYBk3sgGIm0GeoMrL+u2Os+ugQFaXVjVyhmdE5wqxvIaSvaM+Kh0U3gP7CXvz/5lROKbM/2U5mccPztBqFnmGezB0cyesz+vDnw1ew/6mr+WbBQB4aG8WoroH4uDk2OPdvPK4aRcdff8FjrKWmkSEzk5QFt5L5/AuYKioamC2RtCxGg4lNPxwXbE6uOoZO7QyA3qTnpXVP0/+Yt3COq6uOkU7iRhSBPWDqJ7JTgqRB5KdC0iDv/HUCgH6FcTiq9Xq9KgrDZlkpFb4sF46vEm1WzDKoNFQ22GJxbrR9pfpXHk8g/T9m/XF1OsLffguHkBDbOCWRSOyW8WatF7efyqOoXN/I2TU4ODvT7UpxRzgi2YG4M7sbmSGxVzRaDf2v7cC0R/rhFehiMZ50IJdFz+4i+XBeA7OtgJMH3LgUfM0EOZO3wrLbasoSL4CT2aXM/mQHWcVi5mOwi8ojYzvz411DiH96HCvvHcHzk3sxrV84nQLc0TShu4HO15ewd94m9JWX0Xh4WIwXfPcdSVOmUnHw4EVfWyJpTvb/kUJBplh6NHhSR1w9a4Jj3xz+huCtRZZlCX5xOGnr/e65+sOcH2p+XyWSBpBBA4kFOxPz2JWUj5uhlN4lYtpS9PAr8Y9oZ52FDywCU70HW50z9JphnbWAb458Q0aZWFf5r/7/sqsWi8bCQlLvuQfVXPjwP4/j2r+/jbySSCT2zJVdA3DU1X29G0wqfx47d4kCwPAJs1DrvV85GDVsWf2jNVyUtABBHTyZ+Z8BRI+w7KpTXlzNyncPsGlRAobqFsgmcQ+AeT+Du6i5wdFf4beHa+pozsGJrBJmf7KDHDNxwwg3lft7GlkwNJIB7X1xcdQ2coWLR1EUvCZOpOMvK3AdMthivPr0aU7PuYGcd95BrW6hzA2JpB7FeRXs+e20YAts50H0iDAAzpScYe0vXxOWKwYPo72zae9eWGfQOMCs78DHSs/3kjaBDBpILHhvfY2WwYDCvejUuocJjVbLkBk3WmdRVYW4b0Vb94ng4m2V5bLLs/ns0GeCrX9Qf0ZHjrbKek1BNRpJe/hf6M+Ifbi9pk3FZ84cG3klkUjsHTcnHSO7iGr6F1Ki4OkfiBIlzivblYBJlii0WhyddYy6sRvX3t0LZ3cHi/FDG1JZ8uJuclJKrO+MT/uajAMnT9G+90vY+HKDUwCOZ5Yw59Md5JaKAYNeoR78I9qIq5WbGjiEhBD5+ecE/fe/KM5mosxGI7kffMjp2XOoOnHCuo5IJGZsWXICg75eZxQFrrihKxqNgqqqvPTnM/Q94i7McXLQc1WgWQeTCW9BuyHWd1jSqpFBA4lAXEoBm0/k4qUvIrrkmDDW66pxeAcFNzLzEkndAzniesRarzShwRaLA+2rxWLOm29StlVUL3fu05vgp56yKz8lEon9Mb6neK/emJBDebWhkbPr6DNObG/rXKoSt00KIrZ2OvQJYPaTA4nsYSnwV5BZztKX97BvTTKmi2lB0BRCesPshTU94Ouz4X+w+3OL049lFp8NGIg7+X0jvPl8XozVAwZ/o2g0+M69kQ4/L8O5j6XOUuWRIyRNm07eF1+iGmWQTWJ9kg7mknQgV7D1HBlGYLuaoNxvib/h+EcSjgbxVe/a4ONiWcKQeyDGvspyJfaJDBpIBN77qyb6OLBgN1rqopc6B0cGT7Vi+5U4MwFEn/bQbrhVljqce5hfTv0i2KZ2mUo3325WWa8pFP/+O3mfiQ9Q2gB/wt+RwocSieT8jOkeiLZeLXeVwcSmhJzzzhs5eAIFXmJwYcfKpc3un6TlcfNy4vp7ejNydhRaB/Hxz2RU2f7zKX55K46S/IsTJ7xoOoyAqZ8CZsHv3x6GI3Xtj4+kFzPnkx3kl4kBg9hIb769dSAezi0UMaiHU4cOtP/+ewIeuB904vpqdTXZr7xCys3zqU5NbXHfJJcP+mojmxcnCDYXDwcGTazRDSmqKmLRT28SniOWJUR5ZdHRvaDO0OVqGPus1f2VtA1k0EBSS3xaEX8ey8avOo+uZWKaXd/x1+Pua7lD0SxUlUL8MtEWM9cq6q2qqvLybssWi/fE3NPsazWVymPHSP/PE6LRwYHwt9/GISio4UkSiURSD29XRwZ39BVsF1Ki4Kh1hH7hgq0yKYOc5KRm9U9iGxRFodeV4cz8zwACIi0Fz9ISCln03C4Sdp//s3JJ9JgM171mZlThp9sgaTPxaUXc8NkOCswEPPu38+GbWwfh4WxZatFSKDod/nfdRfvFi3Dq0tlivHzPHpImTqJw6dKWa28puazYu+o0JXlicG/YtM44u9X8Xry58SWiD4jZPDqHasYGJdYZArrBtM9B03w6IJK2jQwaSGp5/6yWweCCXUL839HFhYGTpltv4SPLobq07ljRQF/raCesOW3ZYvGO3nfYTYtFQ0EBqf+8B7VS/DIIfuIJXGNjbeSVRCJpjZh3UfjzaDbVBlMjZ9fR74prqHAUU6z3/L6ikbMlrRHfEDemPdqP2HHtLDb8qysMrPv8CGs/P0zVebpuXBIDboMrHhNtxmqMC+fwzKeLKTRbe2B7X75aMBB3p5bPMGgIlx49aL90Kb4LFoBZyaCpvJyM/z5J6t3/wJBz/gwfieRCKcgsI25timAL7eJN1KCa+/2ujF0U/roTJ4MYDLg+6ATO2rNZZC6+MGcROJvpi0gk50AGDSQAJGSVsCo+k6DKLDqWnxbG+l8/FRcPK95Y9pkJIHYeA56Was+XSqWhkjf2ii0Ww93DmdvdPmq5VIOBtIceQp+WJti9Z8zAZ7YVS0MkEkmb5GqzoEFJlYFtp3IbObuOEe2u4HikKIx3bOsGyouLmtU/iW3R6jQMmdKJKQ/F4O5rWfZ2YncWi57fRVpCQQOzm4krH4d+80W/9CW8r75AuJJdaxvUwZcvbxkgBAzK9GUc1R8ly3j+ziDWQuPkRNCjj9Dum69xCAuzGC/dsIHECRMpXrPWBt5J2hqqqrJpUQImY10Gi0ajMHJOFIqiUG2s5pNFzxKR7SrMa++VQyeP/LMTdDDzG/Dt0JKuS9oAMmggAeq0DIYU7BTsLh6e9LtukvUWzkmAMztEW4x1BBC/Pvx1gy0WHc0FmWxE9utvUL5d/Ltw6duXoCf/ayOPJBJJaybI05nYSG/Btubw+dPO/V38UfuGYFTqHkxNegOH/lzT3C5K7IDQLj7MfnIQUYMsy99K86tY/mYc238+ifECslQuGkWB696AbqIAZ6BSyDcOL+FLMUM6+vHlLQNwOxswUFWV1UmrmfL7FL4v+553S97lie1PkFtx/oCYtXAdMIAOK1bgPcMyK9NYWEja/feT9uijGIuLbeCdpK1wck82qcfEIF6fMRH4hdZ0SPh0+/t03CtmiWkc9Fxbv1vCda/X6IpIJBeJDBpISMwpZeXBdMIrUomoFHe5B06egaOLayMzmwHzNouu/hA1vtmXySrL4vN4UVhwQPAAroq8qtnXagpFv64k/8svBZsuIICwd95G42gfQQ2JRNL6MO+isPZwFsYLUMgf0uVKkkLLBNv+tb9hNJy/A4Ok9eHkomPsLT24+tYeOLqYpf+rsG9NCktf3kN+RlnDF7gUNFr2DXiNPWp3wdxRk8lSjzf44obuuDrW+JRbkctDGx7ikU2PUFhVWHvuujPrmLR8Ej+f+NlmOgJadzdCnnuO8A8/QOtvWfJY/MuvJE6YSKlZVySJ5EKoqjCw5UdRb8zdx4n+17YH4FThKU4sWYmTXixLuDbwBC66s/ftQXdZZPZIJBdKiwUNFEVppyjK64qiHFMUpUxRlHxFUXYrivKIoiiX9FaqKIqroihTFUX58Ow1CxRF0SuKkqcoynZFUZ5WFMVKvQJbPx9sOIXJpFpkGbj7+tHn6mutt7BRDwd+EG19ZoOu+V+S34l7x7LF4gD7aLFYcfgwGf8VswkUBwfC330Hh8BAG3klkUjaAuPMShTyyqrZczr/vPNGhI3gaHuxRKE0P48TO+ULT1umy4AgZj85kLAob4ux3DOlLHlxN4c2pDbri/ne5Hxu+uYgC6oe4qgpQhjrqE/A5ef5qPoqfkv8jckrJvNHSsMtQIuri3lq21PcvvZ2UopTGjynJfAYNYqOv/6Cx7hxFmOGrCzO3Hobmc8+h6m83AbeSVoru35NpLxY7CQyfGYXHJ11mFQTb3//BBFZYreEUO9cunrm1Rx0ugqufqGl3JW0QVokaKAoygTgIPAQ0BVwBXyA/sArQJyiKJYStBd27d5AFvATcNfZa3oDOsAXGAz8H3BcURRZGG7Gmfxyfo5Lo0P5aYKrsoWxIdPm4OBoxfZ+CWugzEwgKPamZl/mUM6hBlssdvXt2uxrXSyG/HxS770XtapKsAc99SQuffvaximJRNJmaOfnRvcQUZNm9QWUKPTw64Ep0I0sH1GUdd+qXxqZIWkrePg6M+mBGIZM7YRGKwbWjXoTmxYlsPK9g5QVVTVyhQtn9+l8bvp8F6VVBopx4+bqf5Oqirv0Oac3cP/isfx7878pqjq/rsbOzJ1M/WUqnx36DL3JikKO50Dn40PYW28S+uqraDwtNaEKFi4kacpUKvbvb3nnJK2OnDMlHFovtvGM7OFHx74BACyNW0jQdrPfDZ2BSQFnyxL8usD0L0FrHyKiktaJ1YMGiqLEAIsBT6AUeAIYCowGPj17WhTwm6Iolv1/zo8n4H72z1uBx4GxQCwwDvgYMJ0973tFUa5p2k/SNvlw4ymMRhODC3YJdu+gEHpcOca6i5uXJoQPhIDmfZFvrMXivTH3Nus6TUHV60l78CEM6aLOgvec2fjMmGEjryQSSVtjXA+xVn3t4azz7hRrNVqGhw3niFm2QcaJ42ScPN7sPkrsC0WjEHt1O6b/uz8+IW4W4ymH81j03C4S9ze9M8DOxDxu/mIXZdV1NdjZ+PB+2CuoLr6owK/urkwOC2G90VKM0dvJmykuU+jt0NtirMpYxdv73mbOyjnE58Y32cdLQVEUvCZcT8dfVuA2dKjFeHVyMqdvuJHst95Cra5u4AoSCagmlY0Lj1P/lq3VaRg5uwuKopBbkcv2b7/B2aws4ergE7jq9ODsDTcsBhfvFvVb0vZoiUyDtwEXwABcrarqi6qqbldV9S9VVe8AHj17XhTwcBOubwKWAD1UVR2uqupLqqr+oapqnKqqa1VVvQuYCqiAFnhXsYecdDsgs7iSpXtSiSo7gb9eTFcdOvNGtDorRiSLM+CEmZpwbPMLIK5KWsWBnAOC7c7ed+Ln4tfsa10sWa++SvlOM+HJfv0IfvxxG3kkkUjaIua6BmmFFcSnnV+QbUT4CFKCyil1FnUM9v0usw0uFwIiPJj5eH96jwq3GKss1bPqo0Os//Yo1ZUXp3Wx/VQe87/cTXm1KNo2pnsgTy+YTPa0T7k3OJj/BPhTrLXsIz+u/TgWj1tMP6d+zHSbyZsj3iTELcTivOMFx7nx9xt5ZfcrlOttUw7gEBxMxOefEfTUkyjOzuKgyUTeRx+TNGs2lQkJNvFPYt8c3ZZBVpJ4v+53TTu8Amoqu9/+4b+Ep4tlvb7e+fTyyAVFCzO+Ar9OLeWupA1j1aCBoigDgb8lOj9XVXV7A6e9Dhw9++f7FUVxuJg1VFXdpqrqLFVVj5zjnBXAsrOHnYCYi1mjrfLF1hQMBj2DCnYLdv/I9nQbOtK6ix9YCGo9JWYHN+gxpVmXqDBU8Oa+NwVbhEcEN3a/sVnXaQqFy5dT8I2YaaELCiL8rTdRpPChRCJpRroGedDeT5QOWn04o5Gz6xgaOhRFq+FYOzHbIGHHFkrz85rVR4n9onPUMmJWFBPu7YOrp+X305GtGSx5YTeZSRfWknPryVxu+WoXFXoxYDA2Ooj3b4hl1elfmbLrKTa6WK7lazTyRrspvHbFa/g4+9Tah4UMY/mk5cztPhcFcV/IpJr49si3TFkxhS1pWy7Ix+ZGURR8b7iBDj8vw6VPH4vxqqNHOT1tOnmff4FqNDZwBcnlSEVpNdt+PinYvAJciLk6EoD1x9fitD5ZGDfpDMwMOBuAuuZl6DSqRXyVtH2snWkwud6fv2zoBFVVTcA3Zw+9AWt9utfX+/NlH3IrroYl+9LpXnIcb4MYwRw2ax6KxoofDVWFuO9EW88p4NSU6pTG+erwV2SWibW7D/d/2OYtFisOxZP51P8JNsXRkfB330EXEGAjryQSSVtFURTGmWUbrI4/v66Bl5MXfQL6kBBRikFTF+Q1GY3sX/t7s/spsW8ie/gx+6mBdOhj2RmgKKeCZa/uY/dvSZiMjbdm3HwihwVf7aZSL54zrkcQT00O44GN9/Dk1icp0ZdYzL2mtIzlqRmM3fhejSaSGa4Orjw28DG+u/Y7uvh0sRhPL0vn7j/u5rFNj5FfeX4xUGvg1KED7b7/joAHHgCzbE5Vryf71VdJvvlmqs+csYl/Evtix8+nqCoTs3hGzolC56ClXF/O75++hUu1mIlzRfAp3HR6GHAbDLy9Jd2VtHGsHTQYfvb/ZcDec5y3sd6fh1nJl/qKfpd9GHd9hgZDdTUDC/cI9pDOXenUb6B1F0/eCvmJoi2meQUQM8sy+TJejFMNCh7EVRG2bbFoyM2tET40q18M/r//w6W3ZV2mRCKRNAfjzboonMop42S25YuZOSPDR1LtaOJUmNhq7+AfqzDIOuzLDhd3R665qxej5nVD5yS+rKgmlV2/JvHz6/soyrEsBdiYkMOtX++hyiAGDK7pGcSYgaeZuXJqg5kAfloX3srK4ZWcPHxMJlCNsORmlLSGHyt7B/Rm8fWLuS/mPhw1lpsEvyf9zqTlk/jl1C82ac+o6HT433UnHZYsxqmLZXCjYs9ekiZNpuDHH23WPlJiezITiziyVcwI6xQbSGR0TXnth0ufI/iM+Brn6l3IAPds6HAFjH+pxXyVXB5YO2jwd9Pdk6qqnqvg7VgDc5qbK+r9+WijZ10GlOphS6ZCr5LDuBvFB8Hhc26yfhvCfWYCiP5RENG8gYq3970ttFjUKBoeGfCITVssqno9aQ88iCFT3OHzufFGvKdNtZFXEonkcqBPuDfBnmI99YVkG4wIq6kwNBdErCgp5ujWDc3mn6T1oCgK0cNCmfXEAII6WHYGyEwsZvHzuzm6Lb32pXf98Wxu/2YP1WYBg9G9HDEEfsKzO56hVF9qca3rO17P8ulrGd33NnHAUIHT0rm4V6Y16KODxoHbe9/OTxN/YkDwAIvxwqpCntjyBHeuu5MzJbbZ1XeOjqb90h/xvXUBmD2bmMrLyXzyKVLvuht9dnYjV5C0VUxGExsWioKzDk5ahs+oCTIdPLOPilX7hXGDzshc/2Mofh1rdAy0F1XtLZGcF6sp3SmK4gz8ncOWeq5zVVUtUBSlDHADIs51bhN96QNcd/bwkKqqFx00UBTFUgVIpHYbp6KigoqKinOdazMqKyvZmKFBNejpX7hPGAuP7kVApyjr+l5VjPORFULFob7nbAyVlY1OuVji8+JZmbhSsE3qMIlIl0ib/rvkvfQy5XvEzA6n2Fg877/Pbj8vUPOZaejPEkljyM+MfTK6qz/f7677Ov79UAa3Djn3V1uEcwSBLoFkk02afwVhuXV9wPf+toJOg4Y3SzBWfmZaH04eCtf8M5oD61LZvy5VkCnSVxn565tjJO7PxtTPm4d+OYLeWH/XXCU2+hjx/Eh5hmVWgr+zP4/3f5wRoSNAhYrhj+NQlIHu8NLac5TKAoacfJXNUU81+pkJcgzivRHv8UvSL7xz4B2LsoftGduZsmIKd/a4k9lRs9FpWr4lnec99+A4dCi5T/0fhjQxCFK6cSOJEybi98R/cBs7tsV9a2u0lvvM4Y0Z5KWKQbSY8eFonU2UlpXyw/vP4F8lZvoMCknE3d2FyqlfoyouYMfPla2JivJyXBMScD1xksqRVtZ7uwRa4j1CsVbqk6IoAcDf4dHFqqrOPs/5WUAgEK+qaq9m9MMJ2AL0P2uaqKrqr024zgX/RX322Wf4+1vW/NkD5QZ4Zp+WXrl7GVwoCiCGXz0JZ/9Aq67fPvcv+pz5qvbYhJY1Pd+m2sFyt6IpqKrKJ6WfcMZYt3PghBMPej6Iu8b9HDOti+fuPQQvXSrY9F5epNx3L0Z32/klkUguHxKKFN4/Ij5o/l+sAV+nRiacZXn5cvZU7yE824Uxe8TviNDR1+EaFNrcrkpaGVUFGvIPumAst0xgLVVM/O6qJ9mhJqqgOOQTGLmMcseTFucCxDjEcK3LtbhoXAS7ohoYlPgWQcUHBXuxcxj72t1JkWv7c/pYYirht4rfiNc33IIxVBvKZJfJhOps83lWqqoIWPkb3rt2NThe3Lcv2ZMmYnJ1bXBc0jYwVipkbnJDNdYFYx08jAQOLUfRwN6kNXhtTxHmaHyKuT/oIDs6P0yOpyx1bQ60paV47t2L185dOObVCP8m33sPVeHn20O2Dbm5udx2W21GVoSqqufcsG8K1ixPqJ8HeSGFj1Vn/+9yzrMunveoCxh83ZSAQVtic6YC1ZXEFu0X7G7h7aweMACIzNsoHGd69W22gAHAQf1BIWAAMMp5lE0DBs4pKQT+/LNgM+l0pN80TwYMJBJJi9HJU8VVJ8a/D+afP0sgShcFQGpABUWuemGs6HjDL2CSywsnHxNBw8pwDbd83HNXNcwsc2JUhQ5nz114dnyrwYCBp+LJPLd5THObZhEwAFAVHbvb30uBa0dxXmUaVx5/iuEJzxNSsAtFbVi2ykPjwWy32cx1m4unYvnckW5M56PSj1hdsZpqteX1OlQnJ7KnTSXtlvkYPCyFoT3376fdm2/hKlsztmkKjzkJAQMA7+gqFA3kV2bjsC9JGDPojNzsd5TD4TfIgMGloqq4JCUR/MMiOrz4PwJ+X1UbMADw3rHzHJPbPm0600BRlMeBF88e7gZGqapado4p57rWhZQn7AZISEgg3A4jUWVVBka/tY2e6ZuILTpQN6AozHr2Vfwi2ll1fSX7CM5fikKEVdO/xdSpeVLuKgwVzFg1g+yKuvq/CPcIFo1bhIONarsMublk3HAjxpwcwe7/3LO4X3+9TXy6WCorK9m0aRMAI0eOxNm8z7REYob8zNgvT6w4yrL9deJa/SK9+O6WfuecU6YvY+yKsRhMBrqd9mDwEd+6QUVh7ivv4hkQdEl+yc9M2+H0wTw2LDyJqcqyi0K+SwZ/dvmGPLd0wT6hwwQe6PMAHo4X0EWpPA+n7yehyW84U8HkEYYxdj6GPjeCi2+D55TqS/nw0IcsPbkUFcvn4FC3UB7v9ziDgged3x8rYCwsJO/F/1G+bl2D4x4zZ+DzwANoXJp7n61tY+/3mbTjhaz5SKyg7jIwgBFzOgPw8gs343FCLOeJikzkmqGj0I971UIbQ3JhmEpKKP3tN0qW/oT+1KlGz1OcnYlYuwZNA0E9W5OamkpUVNTfh1bJNLBm8Vb9wrEL2U51O/t/SyWcJqAoyp3UBQyOAdc2NWAAcL6//Po1nS4uLrjY4Y38612nMJQW0rtY3BnqPuwKwqO6Wd+BI0vEY48QnLpfC9rm+Rh+tf8rIWAA8MiAR/B0b75MhotBra4m+bF/WwQMfG++iYAZM2zi06Xi7Oxsl59tif0iPzP2xXV9woSgwb4zRZQaNAR4NF6j4OLiQr+gfuzM2MnJ8FJiE7xxNJxNVFRVjm74gytvuq3R+ReL/My0bhJdtHzoUs7VRgc6GMRyGN+KEKYeepidkSs5GLKBILdAnh76NMPDhjdytQZwCYebfsb0xTVoii0fzTQlaWg2voDD1teh90wYdBcE9RAv4eLCU8OeYmKXiTy97WlOFYkvCull6dy76V4mdprII/0fwdvZ+8L9aw5cXHB7522Kf/udzGefxVQstsYuWfIjlTt3EvrSS7jGxLSsb20Ee7vPGPUmdv6cLNicXHWMmNEVFxdHfl7zqUXAwOBTwvXdO6BMeBOdzrbtxFsjFfGHKVj0A8W//Y56Hk2AquAgQm65BRd3d7sM1rXEZ9lq5QmqqlYCf+d0nHPbXVEUH+qCBpcsY6soyhzgg7OHycBYVVVzL/W6rZ3JfcO40ek4unqpexqtliEzbrD+4oYqOLhYtPW9odkCBpllmXwR/4VgGxQyiCsjrmyW6zeFzBdfpGKfKDbpOmgQgY88YiOPJBLJ5c6wzv64Oda9yKkqrDuSdd55I8NqBKAMOpUT4WJsP379OqorpeiWBH49kM59i+IoRuUn7ww2ha7HoIglLVpVx9DkySw4/X98N3LxxQUM/sY7kqpb/uRoyFQqdd4Nn2OohH3fwIdD4avr4ehKMImlC30D+/LjhB/5Z99/4qCxzEj85dQvTFw+kZWJK1u8/aGiKHhdfx0df/0Ft2GW3cj1ySkk3ziX7DffsmjjLGl9xK1LoTBLDAoMmdIJFw9H8gqzObxwmTCm15qY27EIZdY3IAMGF4ypvJzCpUtJmj6D09OnU7T0p0YDBoqjI27XXUfK3XeT/MADeM6cieYy1hSxdsvFI2f/31lRlHO9Hdbf5r6kdoiKokwEvqHmZ8sARlsjRaM14lxRgEuS2Ne456ix+AS3gOjPsZVQUSDaYuY22+Xf2vcWlcY6JVyNouHRAY/arMViwZIlFC4SgyQOoaGEvfkGiq7l1ZklEokEwNlBy6huon7N6sMX0HoxfETtn4+2LxFSuqvKyzi88c/mc1LSKlmxP437F8VhNBlx8NmCW6e3ONJuOT/1fo1cV8vHMMdMH1a+fJgTe84ftGoQZy8SgieztscbVE/4EML6N37u6c2w+EZ4py9se1d4HnHQOnBXn7tYOnEpsYGxFlMLqgp4fPPj3P3n3aSVNtzi0Zo4BAUR8dmnBP/fUyjmu4kmE3kff0zSzFlUHpdaB62V4twK9qw6LdgC23sSPazm+fzz1/6JS6WYtRMRmUnY/B/Aza+l3GzVVJ04QeZzz3Ni5BVk/PdJKuMb1+NxaBdJ4KOP0nnjBgKef47K9u1k6QfWDxpsOft/N+BcRZNX1Pvz1qYupijKaGAJNWUXedRkGDRenHKZcWTzX5iMdVF2rc6BwdPOKTXRfOz7VjxuPwJ8OzZ87kVyIOcAvyX+Jtimd5lOlE9UIzOsS3lcHJnPPS/YFGdnwt97F51vw/WVEolE0lKM7xksHG87mUtRhb6Rs2to79mecPeapMFSVwNnAsWdmbhVv6KaLGvYJZcHP8el8uDi/agOObi0+xjn4JUomprPVIFrJst6vcH+0D8t9AOqyg2s/ewwf3x5hKoKQ5PWVjU6jNFT4PY/4bY/oddMaCBrAIDCFFj7X3gjGlY+CNnHaoc6enXky/Ff8uTgJ3F3sKyq3Zq2lSkrpvDN4W8wmhoWW7QWiqLgM2cOHZf/jEvfvhbjVceOcXr6dPI++wzV2LK+SS4NVVXZtDgBo77u/qkocOUNXVE0Cn+tfBftCfF+W+ZTxpz5L0Bg95Z2t1Vhqq6m6NeVnJ47l8QJEyn4/ntMpY1Uwet0eIwbR+SXX9Bp1Sr8FtyCzsenZR22c6wdNFhe78+3NHSCoiga4Kazh4XA+qYspCjKUGAF4AQUAeNUVT3clGu1VYZMv4Fr738MR++aF9eeY8bj4dsCrSELUyBxg2iLmdcslzapJl7Z9Ypg83Dw4J8x/2yW618s+qxs0u67H/TiA3jIc8/hHB1tE58kEomkPld2DcRRV/f1bzCp/HXs3Lu9iqIwMryuR/WR9mK/+4KMNE4f2Gc+TXIZsHRvKg8tiUPrsxm3Dm+jc022OCfEM5jbbp/I5Adjcfex1M84vjOTxc/tIv1k4aU5E94fpn0KD8bDFY+BW0DD5+nLYc8X8MEg+GYyHF8NJhMaRcPMrjNZMXkFYyLHWEyrMFTw6p5XufH/2bvr8CiutoHDv7Mbd3cgWII7JGihpYWWljpSd3f30vbr+1bfuht1qFClhba0UCzBHRIgBIi7e3a+P3ZJdrK7EUiCPfd17ZXsmTMzZ7OT3ZlnzjnPb5eSVJB0ZG09DC7dutHtyy8IvucecNYHRrTaWnJeepn9l19BzYEDDrYgjjX7Nuexf2u+rmzAxCiCu3pTnpPC6m/1N8VqjSZmnD0eQ58zO7OZx5Wa/fvJfvFF9pwykYz776dy3XqHdZ3Cwwm+8w56/b2EqNdexXP0aJShoy+Pj08d+lfRNG0NsNzy9Fql1Gg71e4FDoXKXtM0TXe1pZSaqJTSLI+59vajlBoCLMTco6EcmKZpmuMj5CSllCJ66Ai6nHkBoWMmMWzaeZ2z441fgvXdBVdf6De9XTa9MGUhW/L0OZtvHHwjAW6df0ffVFND+h13UNd04sOrr8b3nOMjU4IQ4sTn5erE+F76gPHibS13EbceopAVWEWht34c9Ybff26fBorjxjdrD/LAz3/h3vVd3EIXogy2vQVmxc5iwfQFxIXHERXrz8zHRtF7hG2K59KCKn58eQMJP+6lvu4Ie614h8GkR+Du7XDeuxA+2HHdlH/g65nwxjBIeAeqignxCOGVSa/w6sRXCXa3DTxsz9/OzF9n8ur6V6mqq7Kz0Y6jjEaCbrie7t9+g2uMbY/Kyg0bSDnvfArnf9Pp8zCItqmtrmf5N/phJe4+LsRN7wF11Xz8wg24VemHtPoONNJn2lOd2czjglZXR8mff3Lg2uvYO2UqBR99TH1hof3KSuF1yilEvfM2vf76k6Cbb8Y5pOPTzh/vOiOUcidQiXnIwB9KqYeVUvFKqUlKqfeAQ7eJk4GX27pxpVRPYDHgZyl6DChWSg1o5nFSHxlKKbyje+Hu3QlZBUz1sOlLfdnAi8D5yGf5rKit4NUNr+rKuvl045I+nTCxYxOappH9zDNUbt6sK/ccM5qQe+/p9PYIIURzpjQZorA0OYfKmua7NY8IHYGb0ZKiTNn2NkjdvIH89COey1gcJ75K3Mej/7yBR/RrGD1s72xHeUXx8ZSPeTT+UTycGycPc/N05vRr+zP56n64uOnHaWsarF+0n+9fWE9h1mEnvGrk5ApDZsMNy+CaP6D/BaCM9usW7oNFD5mHLvx2P+Tt4bRup/HTeT8xI2aGTfV6rZ6Ptn3EhT9fSGJm5+dvd+vTh+jvviXw+utsxltrFRVkPfkkB2+8kdqcHAdbEEfbut9SKSuo1pWNu6gXrm5G1r1/NTUH9SkhiwOqufbur2R8vZXarCxyX3+DPaeeRvrtd1C+0vEod2NgIIE33kjPP/+ky3vv4j1pEsro4PNA2OjwoIGmaRuBmUAJ5tSL/wFWA38DN1iqJWPuHVBqdyPNGw9YBwFeAba28LjlMPYjDkfKUihuchI5rH2GJnyy/RNyKvRfhveNuA9no4OxjB2oaP58ir79TlfmHBVFxMsvy8SHQohjzuS+oRgNjSeeVbUmliXnNrMGuDm5MSp8VMPzlIhyTE0u+jb+/kv7NlQck177dzn/t/FW3EJ/t9u74NK+l/L99O8ZGTbS7vpKKWLjwpj5+CgievvZLM89UMo3z65l27/p7XO3XCnoGgcXfwJ3bYXx94K7gx6JNWWw5n14czh8cRHe+xN5PO5R5k6dS3ff7jbVD5Qe4Lo/ruPxlY9TXF185G1tA4OLCyH33ku3Lz7HuUsXm+Xl/y5n3znTKfn9905tl2hZQUY5m/7UB9siY/3oPTKU6n9e5q9EfdK3WqOJaTfcjoubd2c285ikmUyULV/OwVtvY8+pp5H39tvUNRMc84iLI/LVV+j9z9+E3H0XLlGRndjaE0enDNrQNO0XYBDmC/pkoALz/AXrgAeBoZqm7emMtohOtrHJBIihAyF8yBFvNrMsk0+2faIriw+P55SoUxys0XEq1q8n69n/6MqUu7t54kOZREUIcQwK8HQhrrv+omlxK7IoHEq9CFBv1NjTVZ8ibPu/S6hyNNGUOO7Vmeq4deGLfLD3dozutr1Kunp3Ze7UuTw06iFd7wJHfALdOffuocSf1wODQX/3tK7WxLKvklj49hYqStoxpaBvJJz2BNyzA859y3xe4sieP+HLC+GtUQzfv4HvzviEmwbfhJPB9mbAj3t+ZPqP01m0b1GnDwvwGD6cHj/+gN/MmTbL6ouLSb/7HtLvvY/6oqJObZewT9M0/p2XhMnUeJwYjIoJs2JRyYv44odvcK7Sp1FUo8OJG9o+Q3uPV3X5+eR98AF7z5jCwetvoGzJEnAwAa/B15eAK6+kx28L6fbpXHymTkW5SGrKI9FpMz1omrZf07R7NE2L1TTNU9M0f03TRmqa9oKmaRXNrLdU0zRleVxlZ/lcq+WtfczpyNcqLCoKYJd+AheGXd4u3ape3fAq1fWNXbqOVorF2qws0u68y2biw4j/PItbnz72VxJCiGNA0ywKf+3MpqaFseTjosbpnm+KzNVNGlVXXc3Wvxe3XyPFMWN34W6mfnMx/+Z9hjI0HcqiuLzv5Xw3/TuGhzaXLMuWwaAYPjWaix4agX+YbaBh/9Z85j2TSOqWPDtrHwFnd3Pq55uWw1W/Qd/poBycFufvht/uw+W1Idyalca3E15hcLDtPAkFVQXc/+/93Pb3bWSWZbZve1tg8PQk/Kk5dHn/PZyCbedhKFm4kJTp51K2fIWdtUVnSl6TTXpyka5syOldCTDsZ9dnd1GUox9FnR9Yyy3Xv9KJLTx2aJpG+Zo1pN9zL7snTiL35f9Rm2abwvUQ98GDCX/uv/RetpTQhx/CtUf7ZGoTnRg0ECehLfOh3urugNEVBl58xJvdlLOJ3/b9piu7OOZievv3PuJtt4Wpupq0O+6kPk9/IhN4/XX4nCmz2gohjm1n9NMHDUqr6lidku+gtlmkVyQ9fXs2PK9wr0fF6k9wNy7+VZfeVxzfak21vL/lfS76eQbZ1badQn2dIvjszE95YNQDuDsd/nxFwV29ufiRkQw4xbbrcGVpLQvf3sLSr5KorW7nY0spiB4LMz+HOzfD2DvBzc9+3eoSSHibXp+cx2eFtTza82I8nT1tqv2b9i/n/XQeX+78stPTM3pNmECPX37G5yzb85C6nBwOXn89mXPmYCpvhzkjRJtVV9Sy8nv9/5F3gBsjTvGm9otZ/JzWVbeszmBi3HU34O3WCfOQHUPqi4sp+OxzUs4+hwNXXEnJb7/Z3KA7xODhgd+smXT/YQHR8+fhd955GNzc7NYVh0+CBqJjaBpsaDI0oe/Z4HFkWQ1MmokX1tpJsTikc1MsappG1lNPU7VFn7nBc9w4gu+6q1PbIoQQhyPM142hXf10ZYu2tWKIglXqRYCt3Yp0z0vzctmzLuFImyeOAUkFSVy68FLe2PgGJvRzF2iaYpDXufw18yeGhgxtl/05uxg5ZXYs024dhLu37fxE2/9N55v/rCVnf0m77M+GX1c4/Wm4Zyec/SoE93VQUcOwexGz/nqZH4vqmehtezezoq6C59Y8xxW/X0FyYbKdbXQco58fkf/7HxEvv4TB19dmedG8+aScfwEVGzZ2arsEJP68j8omw23GX9Qd5x+u5Pt9Lhir9ClJS+OCOWvYhZ3ZxKNG0zQqt2wh45FH2X3KRLL/8x9q9u51WN+1Tx/C5syh17//Ej5nDm59Hf2/ivYgQQPRMTI2QM52fdnQI58AcWHKQrbmbdWV3TT4JvzdOnfugMKvvqJ4wQJdmXPXrkS+9KLMxCqEOG5M6a/vbfDnjmzqTc2Px7ZOvQiw1pBEUJMuoBt+k/SLx7NaUy3vbH6HWQtnsbNgp83y+upgLgj7L19e+H+4ObX/Hb3ogUHMejyO6EFBNsuKsiv4/vn1bP4zjQ6bOsDFA0ZcDbeshit+hthpgP3hj2E5yby+ZSkvF5YTZHC1Wb4lbwszf5nJ6xte1w2r7Ay+06bR4+ef8Rw/3mZZ7YED7L/sMnJe/h+mmnacM0I4lLO/hG3L9F3rowcG0v3gs6QmbSMtN1S3LM+/lluu/W9nNvGoMJWXUzj/G/ZdeCGpM2ZSvGABWpX9VKbK1RXf884jet7XdP9hAf6zZmL0su3tI9qfBA1Ex2jay8CvK3Q/skkKK2oreHX9q7qyaJ9oZveZfUTbbXM71q4l+7/P6cqUhwdRb76B0c+vU9sihBBHomnQIK+smg0HHOS2thgSMsSmS7ZhuL5Lbfqu7WTvc3yHSBy7dhXs4pKFl/D2prepM9n2LqjOO4Wbe7/F01OndWg7PHxcOOvmgUy8NBYnF/3pqsmksf63g+QmulNX0YFzGSkFPU6B2V/BHRth9G3ganvnXgFnFOXz4749XFhqOxFonVbHB1s/4KKfL2Jt1tqOa68dzqEhdHn/PcLmzEG5Nxk+YjKR/8EHpF48g6qkpE5t18nGZNJY9lWSLtDl5GxgfO811K7/kgVZfVBWgak6g4m+l55PhHfEUWht56hKSibr6afZPeEUsp58kuodtgHKQ1y6dyf04YfovWwpEc/9F/chQzp9HrOTnQQNRPurqYBt3+vLhlwGhiM73D7e9jE5lUc3xWJtZqZ54sM6/YlUxH//i1tMTKe1Qwgh2kP3IE/6hOlTeLU0RMHZ4MyYiDG6so3+6Xj664efbfxdehscT2rra3lr01vM/nU2uwp22Syvrw6hIvUW7ht5N7dP6pxuwEop+o+PZOajowjpZptqrqbQiezlniz7YjcHdxToZqNvdwHdYcqz5qwLZ70EgbbzKPmaNObkFfBxZjbd7Iy/Ti1J5ZrF1zBn1RxKajpoiIUdSin8Z82kx48/4D7UdihJdVIS+y66mLwPPkCT+Ug6xI4VGeTs12eWHx5Xh8/qB/gtvztak2EJWUM9uHTs9Z3ZxE5hqq6m+KefSJ19CfvOPZfCr752PL+GkxPeZ06l69y59PhtIQFXXik3544iCRqI9rfjJ/NkQQ0UDLnkiDaZWZbJ3O1zdWVjIsbYjK3tSKaqKtJuu536ggJdeeCNN+Iz5YxOa4cQQrSnpr0NFm3LajFl3PhIfXfn1dkJDJw8VVe2a+Uyyoua77Ugjg078ncwc+FM3t38LnVa094FBqrzJlGx7w4eOe0MbpjQ08FWOo5fqAcXPDCcEWdF2yRg0kyKvevz+Pn1TXz2yCpW/7CH/IwOTPvp6gWjrodb18BlC6C37ff/yKpqvk/P5PqiYpzs/C99v/t7zv3xXP5I/aNT0zO6dOtGty8+J/jee8C5yQ2X2lpyX/4f+y+7nJoDBzqtTSeDipIaEn7U97zyC3Ji6IHrSa/wZHdeuG5Zrl81N17zDEbDiTPctSY1leznX2DPhFPIePAhKjc6nk/DOSKC4Lvvpvc/fxP1yit4xsdJr4JjgAQNRPvb2GRoQs9Twa/LEW3ylfWv6MYCGpWR+0fc32kfIpqmkfXkHKq26+dp8DxlAsF33N4pbRBCiI7QNPVielEl2zOavws6LlKferGstgyGRGC0uhCpr6tjy1+L2q+hot3V1Nfw+obXuWThJewu3G2zvL4qlIrUW6jJncIT0wZx3fijl77MaDQQN70H5983HJ8g+/MolBdVs2HxAeY9vYZv/rOWzX8fpKKkg8brGwzQ6zS49Fu4fQPE3QQujb0hXDW4o7CY+elZDKyyncsgrzKPe5fdy53/3El2eXbHtNEOZTQSdP31dP/uW1xjY22WV27cSMp551M4b16nBjROZKt/2EN1hT4YN8HjDbSqQr5vMiyh3qARfMEE+gQd/5P6abW1lCz+gwPXXMPeqWdS8Mkn1BcX269sMOA1aRJd3nuXnn/+QdCNN9hNHSqOHgkaiPaVvxf2r9SXDTuyCRA35Wzi99TfdWUXx1xML/9eR7Tdtij8/HOKf/pJV+bSrRuRL8rEh0KI41ufMG+6BXroyloaohDsEUzfAP1JbWLRBvqM1c9ds/nP36ivs58mSxxd2/O2M/PXmXyw9QPqNX2XdE0zUJ17KhWpt2OqiuKp6f25Zlz3o9RSvfCevsx8dBQx8SGgHF/U5h4oZcU3u/n0oZUsfHsLe9bnUFfbQV3vA3vCmc+bhy5MfR4CGoMrMbW1fJ6ZzUP5BbibTDar/nPwH8796Vzm7ZqHSbNd3lHcYmOJ/vYbAm+4wWb4qFZRQdacpzh4w43UZndeQONElLG7iF2r9Z+nvQN30aXmD5bkR1NbpQ+ApfQ3cctp93VmE9tdbUYGOa+9xu5TTyX9zjspX7XaYV1jcBCBN99Er7/+pMs7b+N1yilyXn2MkqCBaF8bv9A/dw+A2LMOe3MmzcRza/STDnq7eHPLkFsOe5ttVZ6QSPbz+jSPBg8Pot56E6PPyZU3Vwhx4lFKMbXpEIXtbU+9uDx9OcPOnK4rKy8qJGn1iiNvpGg31fXVvLr+VS797VL2FO2xWV5fFU7FvlupyTsDNCeeOW8AV46J7vyGNsPF3YlxM3sSPqkc3z5VBER6OKxrMmmkbslj8QfbmPvgSpZ+uYvMPUUdcxfdzQfib4Lb1sMl35p7WgJG4NKSMn5Ky2R8RaXNauW15Tyb+CxX/n4le4s6bwJRg4sLIffcTbcvvsC5a1eb5eXLl5My/VyKFy7stDadSOrrTSz7Wj/BpLNTLWMNL5BV6cXWvEjdsjzfai674hHcnZpMWHkc0OrrKVu2jIM338KeyaeT/8671OfmOazvOWY0ka+9Ru+//ybkzjtxjjhxJ3w8UUjQQLSf+jrY9JW+bPAscLJNQdRav6b8yvZ8/ZCAWwbf0mkpFmvT00m/+25oMjFQxAvP49qr83o6CCFER5rSZIjCnpwy9uQ0Py68aerFPUV7qAtyI6rfAF35ht9+lm7Ox4gtuVuY8csMPtr2kYPeBZOp2Hcrpmrzxcx/zh/I5fHdjkZTW8XoquHdvZbz7hvMzMdGMeT0rnj4uDisX11Rx/blGSx4aQNfPJHA2oX7KM61vYg/YgYDxJwBl/9gnvtg5HXg7El4fT1vZefyQk4eAXYmHNyUu4mLfr6Qtze9TU1956VB9Bg2lB4/LMBv9iybZabiYjLuvY/0e+6hrlDmKGmLLX+nUZChn+Qvzv1TXFURC7Ji9cMSlIY6sx/jutqmxzyW1eXmkvfue+w9/QwO3ngTZf/8A3Z61AAYfX0JuPpqei76na4ff4zPlDNQTefWEMcsp6PdAHEC2fMXlDW5OzX08IcmOEqxOLPPzMPeZluYKis5ePvt1Df5kgy65Ra8J0/ulDYIIURnGBLlR4i3KzmljWOvF2/PoleI4+DogMAB+Ln6UVRd1FC2PM3c2yBtx7aGsuyU3WQk7yIy9vgfo3u8qqqr4u1Nb/Ppjk/tdoGvrwqnKuNiTNXmu31KwX/PH8isUbZ3n49VQVFeBEX1YvR5PUjbVciuhCz2bcqlrtb+BUxJbiVrftnHml/2Ed7Llz7x4fQcHoKrezufGgfHwrSX4dTHYeMXqDXvc2bRfsZUVvFSgB8/envpqtdp9byz+R0WJ33LnPHPMzRiVPu2xwGDpyfhTz6J96mnkvnoY9Tl6LNVlfz2OxVr1xH+7P/hNaHzJqE+XpUVVrHm1326siCnfQz0+J1leV2prNL3jtnVp4oXpz7RmU08bJqmUZG4hsL58yj98y+bjGJNuQ8bhv+smXhPmYLB9fBvJIqjS3oaiPbTdALEyOEQ2u+wN/fRto/IrczVld0/8n6cDR0fldQ0jczHn7DJGes1aRJBt93a4fsXQojOZDAomywKi1sYomA0GBkbOVZXtjx9OT1HxOETHKor3yDpF4+aTTmbuPiXi/lk+yc2AQOFkeqc06nYd5suYPD8hYOOq4CBNYPRQNf+gZxxbX+ufmEcp17Rh8gYv2bXydxTzD9f7OKT+1ew+MNtpG7Nw1TfzvMLuPvBmNvgjo0w6yt8u43jmbwCPsjMpoud9IwpVXlc8ee1PPP9BZQWprRvW5rhNX48PX7+CZ9p02yW1eXmcvCGG8l8co7jNHkCgBXf7qauWt+b5BSfd8mtcmdDnn5y8HyfaqbNuplA98DObGKb1RcVkT93LilnnsWBq66i9PdFDgMGBk9P/C+ZTfeffiL6qy/xnT5dAgbHOelpINpHWQ4kN5kl+wh6GWSUZfDp9k91ZWMjxtqk+eooBXM/peTXX3VlLt27E/HC8yiDxNqEECeeqQPC+Dxhf8PzLWnFpBdVEunneHzthMgJLExpHO+cmJlIrVbH0CnTWPbFxw3luxNXUpKXi0+QzIbdWSrrKnlz45t8vuNzNGyHh/gZe5C+ezqm6sZgkVLw4kWDuWh4VGc2tcO4uDvRd0wEfcdEUJJfSXJiNkmJWRRlV9itX19nYs+6HPasy8Hd25mYUWHExocRFOXVftmaDEboM838yN5BfOK7LNj6De94ufCprw/1TfbzTdluli44m0e8+3PauEcgYmj7tKMZRj8/Il9+Ce/Jp5E15ymbGe+L5s+nfNUqIp5/Do9hwzq8Pceb/dvz2btBf9Orn/sfBDvv5qP0oWA1LMGkNAonhXFB7IWd3MrW0TSNqs2bKfx6HiWLFqFV22YCsebary/+s2bhO20aBk/PTmql6Axy9SPax+avwWQVbXT2gAGH/wFoN8XiyM5JsVi+ahU5L76oKzN4eponPvT2drCWEEIc30Z1D8DPQ9+Ta3ELWRTGRIzBoBpPJarqq1ibtZYBp56Bs2vjrOCaycTmP2Qytc6yIXsDF/9yMZ/t+MwmYOBscKaf60wObrtWFzAwKPjfjBMnYNCUT6A7I86K5pI5cVz44HAGnBKJq6fje2eVpbVsXnKQb55dy/z/W8PGPw5QXtT8BVObhfaD6a/jdvcO7h5+D/NKoL+di7IcJyN3Ve7i7h8vIuej02Db91Df8VlJfM48k+4//4znBNsbNrUHD7L/0svIeeklTDWdN//Csa6utp5/5yXrytxUCaO9v2B1XhdKq/QX0tt6lfHAtKc7LYV4a9WXlVM4bx77zr+A1FmzKf7pJ4cBA+Xmhu8FFxD97Td0//57/GfMkIDBCUiCBuLIaRpsaDI0od955lmED8OG7A0sStX3WpgRO4Oefj0Ps4GtV5OWRvrd99hM4hLx4ou49jh6+amFEKKjORsNTO6rH1bQUhYFPzc/BgUN0pUtT1uOm6cX/U45TVe+5a9F1FZXtU9jhV0VtRU8v+Z5rlp0FftL9tss7x84gLHuz5K4aSjmOf3NDApemTmE84eemAEDa0opwrr7csrsWK5+bhxn3jiQ7oODMBgdX7Tlp5ezasEePn14Jb+8vonkNVnU1rRj+kaPABh3F31u3cQXY5/nfpOf3fSMf3l6cJ7K4tvFt2N6dRD8+xKUO56hvj04h4bQ5b33CHv6KZRHkywVmkb+hx+RetHFVO3caX8DJ5kNiw9Q0mRyzdHen1FSYyIxXz/kp8C7hrjzZ9Dd99hIZwpQtWsXmU/OYc+ECWTNeYrqXbsc1nXp2ZPQRx6h97KlRPznWdwHDjzmgh+i/UjQQBy5g4mQv1tfNuzwhiaYNBPPr31eV+bj4sMtgzs+xaKpooK0W2+z6YYXdPtteJ86qcP3L4QQR1vT1ItrUwvILW3+7mrT1Iv/pv2LpmkMO/McXXlVeRk7ly9tj2YKO9ZmreWiXy7ii51f2PQucDG4cNewu+ha9QC/rNNfjBoNitdmDeXcIfr0b8ciTdMoKywgbcc2dixbQsHWDZTsTaKypLjlle0wOhvoMTSYs24exFXPj2XCrBhCoh3f8NA0OLCjgD8/3sEn969gyWc7SU8qRDO1U3YQoxNO/c/niquXs2DCa4x1ss0UVWo08HRQIFd71ZGy/L/wv37w462QuaV92mCHUgr/GTPo8eMPuA8fbrO8OjmZfTNmkvfe+2gtTIp3IivKqWDDIn2wLsx5JzFu//BrZgxo+mEJ+8a4ct2Q6zu7mTZMVVUU/fAjqTNnse+88ymaPx9Thf0hPDg74zNtGt0+/4wev/5CwBWXY/T17dwGi6NC5jQQR65pL4PAXtB19GFt6ue9P7Mjf4eu7JYht+Dn5neYjWsdTdPIfOwxqpP0+XS9Jp9G0M03d+i+hRDiWDGudxAeLkYqLHdRNQ3+2pnN7GYmxRsfNZ7XN77e8DytLI3UklS6R3Sn+5Dh7Nu0vmHZht9/ZuBpU+RuVDuqqK3g1Q2v8vWur+0uHxQ8iKdHP8N7S0r5Zl2abpnRoHh91lCmDQrvjKa2iqZpVBQXUZiVQVFmBkXZmRRmZpifZ2VSW2WbInHumuV06T+QmPhx9Bo5Gk+/tqdldvdyYeDEKAZOjKIwq5ykhCySErMoK7QfNKutrmfXqkx2rcrEK8CV2LgwYuPC8A9rn27ZUT0n806P01i4ax4vrHuZQpO+HRvc3LgoMpwbioq5dtMXOG/6ArqNhbgbIXYaGNv/FN+la1e6ffYpBXPnkvvqa2jWEzjW1pL7yiuU/fMPEc/9F5fo6Hbf/7FM0zSWz0umvq4xKKeo5xSf91hbEElhlT5LxtYeJdxz1iu4GB2nCO1o1Sn7KJo/n6Iff8RU3HzgzTkqCr+ZM/C74AKcAo/tCRtFx5CggTgy1aWw/Qd92dDLzLMptVFFbQWvbXhNV9bdtzszYmccSQtbpeCjjyj57XddmUvPnkQ8JxMfCiFOHm7ORibFhrBwa2ZD2eLtWc0GDWL9Ywl2D9Zlu1metpzuvt0ZduZ0XdAgP+0AB7ZuptugIR3S/pPNmsw1PLHqCdLL0m2WuRpduX3o7cyOvZSHF2zn+w36gIGTQfHmJUOZOqDzAwaaplFZWkJhZgZFWeZHY2Agg5pK28BAS9s7sG0LB7Zt4a+P3iGqb39i4sbSe9QYvALafoHjH+ZJ/Hk9iZveg/TdRSQlZLJ3Qy611faHJJQVVLP+9/2s/30/od19iI0Lo/eIUNy8jizbk1KKs/vOZmz3qby45nl+2aefF6RWKd7y92OxpwdP5hUwZP9K2L8SfLvAyOtg2BXmoQ/tSBmNBF57LZ7jxpPx4IM23dcrN20i5fwLCH3gfvxmzTppAoQpG3M5sKNAVzbIYyHU57I6Tz95ZaFXDT2mTmJE2IjObCIAWk0NpUuWUDhvPhWJic1XNhjwmjQJ/1kz8Rw7Vs6HT3ISNBBHZtsCqLVKu6OMMPiSw9rUh1s/JK9SPzbv/hEdn2KxbPkKcv73iq7M4O1N1JtvYPSSiVyEECeXKQPCdEGDlXvyKKmqxcfN/mexUorxUeNZsHtBQ9ny9OVc0f8Kug0eRkBEFAUZjResG37/SYIGR6i8tpxX1r/C/KT5dpcPDRnK02Oepot3N+7/djMLNuqDCs5GxZuXDLNJs9neKktLKMrKpNASFCiy+lld0UEp+zSNtB3bSNuxjb/nvk9kbF9zACFuLN6BQW3alDIoomL9iYr1Z8KselI25ZKUmEXazgI0ByMSsveVkL2vhBXf7iZ6YBCx8WF0GxCI0enwL7j83fz5z4TnOLvndJ5OeNomSLTHxYUrwkOZVVLGnYVFeBYfhL+ehKXPweCZMOrGI0qBbY9bbAzdv5lP7ltvk//BB7q5oLTKSrKeeprSJX8T/uz/4Rwa2syWjn81VXUs/0Y/TNfTkM8Iz3l8cyAWTWt8701obB1Ry2dx93ZuG9PSKfr2W4q+/576vObnwXAKCcHv4ovxu/ginMM69jNCHD8kaCCOzMYmQxNipoB3278c0svSbVIsjoscx/iojk2xWHPgAOn33quf+FApIl96Edfux87ENEII0VkmxQbjYjRQY8lTX1uv8c+unGbHvE+InKALGqzLXkd5bTmezp4MPXM6Sz56u2FZysZ1FGZl4B8W0XEv4gS2OmM1c1bNIaM8w2aZm9GNO4bdwSV9LkHTFPd8s4mfNunrORsV71w6nMn92udCrqq8jCJLL4GGwIBlaEFVeVm77KMpJ2cXfEJDqawzUZWbjVbvYBy9ppG+awfpu3bwz6cfEB7Th5i4scTEjcUnOKRN+3R2NTYMQSgrrCZ5bRZJCVkUZNgPfpjqNVI25ZKyKRdXTydiRoQSGx9OSLT3Yd99HxM5hgXTF/DO5nf4bMdnmDSrC3Wl+NrXm7893Xksr5CJlZVQVwnr55of3SdA3M3m8zSD0eE+2kK5uBBy9114TTyFjIceonb/Ad3y8hUrSDlnOmFPPIHPtLNO2F4Haxem2mTWGOv9MZsLA8mt0mfd2t6jhBunPIyva8fPA6DV11O27F8K58+j/N/lOIx0WXiOHYvfrJl4T5qEcpJLRKEnR4Q4fDm7IG2tvmzo4U2A+L91/6PG1Jiyx6iM3D/i/iNpXYtM5eWk3XobppISXXnwnXfidcopHbpvIYQ4Vnm7OTOudxB/78ppKFu0LavZoEFceBxOBifqLKl360x1JGQmcFrX0+g/4VRWzPuU6nLLxZWmsXHRL5x61Y0d+jpONGU1Zby8/mW+S/7O7vJhIcN4ZuwzdPXpSl29ibu/2cwvm/UBAxejgXcvH8apfdoWMKiuqLD0EkhvCAgUZmVQmJVJVWlJyxs4DEZnZ/xCw/ELC8cvLAL/sAj8wyPwC4vAOyCQqupq/vjjD0x1dfQOCWT/xrXsXb/G7pwHh2Qm7yIzeRfLPv+IsF4xDT0Q/ELbdjfVy9+VYWd0Y+jpXck7WEZSQhbJa7OoLLWfBrG6vI6ty9LZuiwdv1APYuPNwQfvADe79Zvj4ezBvSPuZWr3qTy16il2FuizFmQ7OXF7WDBTysp5qKCQIEvwj33/mh9+3WDUDeahpO5+bd6/3TYNHUqPH34g56WXKPxKP7eGqaSEjPvuo3TJX4Q98QRO/m2fb+JYlp9exuYlB3VlXVw24a828UveMF15kWct7hP6cWb3Mzu0TbU5ORR//z2F33xLXWZms3WN/v74XXgBfjNm4NLV8TA0ISRoIA5f014GXqHQ+4w2b2Z99nr+2P+HrmxWn1n08Ou4FIeappHxyKNU79Z3J/M+4wwCb7yhw/YrhBDHg6n9w3RBg6VJuVTW1OPuYv8OpZeLF8NDhpOY1ThGdnnack7rehrObm4MPHUK635p7ImwfelfjJ1xOa5NU7gJu1alr+LJ1U+SVW6bAtPdyZ07h93J7D6zMSgDtfUm7pq3STfEBMDFycB7lw9nUqz9O+w1lRUUZmXqhhAUWiYirCgu6oiXhcHohG9oGP5h4ZaAQGRDcMArMBBDK+6IG5yc6DkijgHjJ1JXU0Pq5g0kJ65k77pEaiodzAAPZO1JJmtPMv9++Qkh3XsSEz+OmPixbeoBo5QiuKs3wV29GX1hTw7uKCApIYt9m/N0E+JZK8quIPGnFBJ/SiEy1o/YuHB6DgvGxa1tp+T9A/vz1bSv+HzH57y96W2q6vXpTBd7ebLK3Z37Cgo5v6ychnv8Rfvhj0fhn//AkNnmoQvBMW3atz0GDw/CnngCr1NPI/PRR6nLztYtL/19ERXr1hH+zDN4T5x4xPs7FmiaxrKvk3TZMwzUMs77A37L7IdmnS0BjbVDS/lw3OMd0uNCM5moSEigcN58Sv/+G1rIYuE+Yjj+M2fhPeUMDC5HbzJGcfyQoIE4PHU1sLnJTM2DZ7V5tl6TZuL5NbYpFm8e3LEZC/Lf/4DSxYt1Za69exPx3/+csN3nhBCitSb3C8WwAA6dC1fW1vPv7txmx8CPjxqvDxqkL0fTNJRSDJ1yNut//RHN0p26prKS7Uv/ZNhZ53bo6zjeldaU8tK6l3RDP6yNDBvJU6OfootPFwBq603c8fVGft+mDy64Ohl4/4oRjOnqTU5qSpOJB82BgvKiwg55DQajEd+Q0IbeAn7hjb0GvIOCWxUYaC0nFxd6jYyn18h46mprObB1E8kJK9izLqGxp4sdOfv2krNvLyu+/pTgbt0bAggBEVGt3rfRaCB6YBDRA4Oorqhlz/ockhKzyNzjeFb69KQi0pOK+PfrJHoMDSY2PoyoPgEYDK07D3EyOHH1gKuZ3HUyTyc8TUJmgm55qdHAk8GB/OrlyZN5BXSzvpCsLYe1H5ofPU81D13oNRmOcLI7r3Fj6fHzT2T937OU/PKLbll9bh5pN92M38UXE/Lgg8f9vFFJCbbv7zDPH9hb5kR2ubuufEf3EmZOup4o79YfU61RV1hI8Q8/UjR/PjX79zdb1+Dlhe955+E/cwauvXu3azvEiU+CBuLwJP8OFfn6ssMYmvDTnp9sutbdMuSWDh3rVbZsGbmvvqorM/j4EPXWmxg8j+8vMCGEaA8Bni7EdQ9kdUrj5/zibVktBg1eWvdSw/OcihySC5OJDYjFJziEXiPj2b1mVcPyjYt+ZcjUs9v1ovFEsjxtOU+tforsimybZe5O7twz/B5mxM7AoMwXeTV1Jm77agNLtqUTWFeMX20xvrXFBNSXMCqgnl3/+5p1hQU222oPymDANzi0ISDg1zCUIBzf4FAMxs5/j52cnekxbCQ9ho2kvq6WA9u2mAMIaxOoKit1uF7u/n3k7t/HyvmfE9SlG73jxhI7ehyBUa3vuu3q4Uz/8ZH0Hx9JcW4FSYnZJCVkUpJXZbd+Xa2J5DXZJK/JxsPXhdhRYcTGhxEY6WW3flNdfLrw/unv8/Pen3lx3YsUV+svZNe6u3FBVAQ3FxZxZXEJNlOa7v3b/AjoYe55MOQScPNp9ettyujrS+SLL+B92qlkzXmK+qIi3fKib7+lfPVqIp77Lx4jOj+DQHuoKq9l1Xf6NN0+xix6OC/ky8yhQGNPk2LPWspHhXBZv8vaZd+aplG5cSOF8+ZRumgxWk1Ns/XdBgzAf/YsfM48E4P07hKHSYIG4vBsaDI0oetoCGpb1LK8tlyX2xugh2+PDk2xWJOaSvp99+sngzEYiHz5ZRnLJYQQVqYOCNMFDf7amU1tvQlno/07kd19uhPpFamb2X15+nJiA2IBGHbmdF3QoCg7k30b19FzeFwHvYLjU3F1MS+ufZGf9v5kd3lcWByPj3wUz3IDe9clUpSVSX5GOms2JxFRlMst9bZ31Ntj2gGlDPgEBzcGBEIb5xjwDQnFeAxPnGZ0cqb7kOF0HzKcydfdysEdW9mdsJLda1ZR2cwfJ+/gfvIO7mf1d18RENmFmPixxMSPI6hLt1b3SvQN9mDU2d0ZOS2arL3F7ErMYs+6HGoq7XcfryiuYeOfB9j45wGCunjRJz6c3iND8fBpvgu5Uopze53LuMhxvLD2BX7b95tueY2C1wL8+D0wnDnp+xlYbSeAUZACix6Ev/8Phl5qnvsgsGerXqc9PlOn4j5sGFmPP0HZsmW6ZbVpaey//AoCrrma4DvuwODqetj7ORoSvt9FZbl+CMo4r4/4q3w09fWNw2I0NFYOzOfV8S8dcTaw+rIyin/+maJ586lOTm62rnJ3x/fsafjNmIn7wAFHtF8hQIIG4nAUp8PeJfqyw+hlYDfF4siOS7FYX1bOwdtuw1Sqv8MQfPddeI0f1yH7FEKI49UZ/UN58uftDc9LqupISMlnfO9gu/WVUoyPHM+8pHkNZcvTlnPdwOsAiOzbn+DoHuSmpjQs3/DbzxI0sLLs4DKeXv00OZU5GOrBu9IJ73JnfMqdCKh0p7+xOy5r6vnukztsZkJvl35ySuETFIxfaHhDQKAxMBCGk3PHpkDuDEYnJ6IHDSV60FBOu/Zm0nZuI9kSQGhu7oaC9IMkfD+PhO/n4R8eSUy8eRLFkOgerQogKKUI7+VHeC8/xs/oTeqWfJISMtm/vUA3Jt5a3sEyVhzczcrv99C1fwCxcWF0HxyEk7PjnhuB7oE8P+F5zu5xNs8kPENmuX5ui2StkssiwrjEswe3p2zCo8JO75OaUkh8FxLfM89VFXejeQjDYQzfdA4JIerddyj67jty/vscpgqreSY0jYKPPqb83+VEvPA8bn37tnn7R0N2SiHbV+VA40wRdHdNoMDTh4xU/TwaO6NLmTzmQgYGDzzs/VXt2EHh1/MoXrgQrcLxPB0Arr174TdrFr7Tp2P09m62rhBtIUED0XabvgKrND+4eEP/89q0ibTSND7b/pmubHzkeMZFdszFu2YykfnwQ9Ts2asr9z5zKoHXXdch+xRCiONZuK87g7v4sflgUUPZom1ZDoMGABOiJuiCBptyN1FcXYyvqy9KKYadOZ3F77zasPzAts3kHUjFM/jEzuPuSH1dLcU5OaQf3M0Pa77kwIFkBlc44VMeiWelEQP6i7Rqsqh2sK228AoMMs8r0GSOAd+QMJxOoknRDEYjXQcMpuuAwZx6zY2k79rREEAob2YoR2FmOok/fEPiD9/gFxpO73hzGsfQHr1aFUBwcjbSa3gIvYaHUFFSw+612SQlZpF7wP6wCc2ksX9rPvu35uPi7kSv4SHExocR3tPX4f7GR43nx3N/5I2Nb/DVrq906RlNmPiifA9Luvfi8ZCxjN/xJ2Rvs7dn2L3Y/AiKMfc8GDwbXFs3bOIQpRT+F1+MZ3w8GQ8/TOW69brl1bt3s2/GTIJvvZXA6649ptP9mUway97/F2i8IHdSVQwM+5fvt+vnMSjxqOXgEGdeG3p72/dTWUnJb79TOH8+VVu2NFtXOTvjPXUq/rNm4j5smMzNJTrEsftfKY5NJpNt1oQBF4BL2+5x/G+9PsWik3LivpH3tUcL7cp/7z1K//xLV+YaG0vEs8/Kh6sQQjgwtX+YLmiweHs2T587AKODidpGho3E1ehKdb350takmViVsaohxVifMRP498tPqCxpHHO9YdEvjL/8xA3emurrKc7NbkxTeCgzQVYGJbk5aCbzxZwn0Jf2uzPo5R9gM8eAf1gEvmHhOLscX13BO4PBYKRLv4F06TeQU6+6gfTknexOWEly4krKCvIdrleUncnan75j7U/f4RMcah7CEDeWsF4xrTq/8PBxYfBpXRh8Whfy08tISswiOTGL8mL749RrKuvYsSKDHSsy8AlyIzbOPP+Bb7DtWHUPZw8eHPUg03pM48lVT5JcqO/SnlmRxS2p33NmvzN58LRHCdzwJST9pr8xdEheMvx2Hyx5BoZdDiOvg4DuLb4+ay5dutDt008pmPspua++ilZrlaKytpbcV1+l7J9/iHj+OVyio9u07c6y/asfyS3Sz7s1wvcXVpX3ob52j6585cB8Hhn7Al4urQ+yVO/dS+G8+RT/+KNNz9imnLt2xX/mDHzPPx+ngIDWvwghDoMEDUTbpC43p+uxNuyKNm1iXdY6/tz/p65sVp9Z9PDtmBSLpf/8Q+7rb+jKjL6+RL35hkwII4QQzZjSP5TnF+1qeJ5XVs3GA4WMiLZ/gurm5MaosFEsT1/eULY8bXlD0MDJxYXBp59JwveNvRF2/vsPI8+f2UGvoHOYTPWU5OZSlJluDgxkZVBkSVdYnJONqb6+Q/ZbbvSgyMmXImdfip19qXIP4IGZYxkzpA/Obm4dss+TgTIYiOrTn6g+/Zl4xXVk7kkmOWEFyYkrKc3LdbheSW42635ZwLpfFuAdGExM/Bh6x40joncsqhVZCQIjvRhzQS/iz+tJ+q5CdiVmkrIxl7oa++kbS/KqWLswlbULUwnv6UtsfBg9h4Xg5qkfRjIgaADzzp7Hp9s/5Z1N7+hu2gD8nvo7qzJXcf+I+5l+xrOodR/Bhk+hyk7mh+piWP0mrH4LYs+EuJug+4RWD11QRiOB116D5/hxZDz4ENU79ZNhV27eTMp55xNy/334z57dqr9bZ6nYkUDCSv2lk79TGgyIJe0X/Y2pnd1KGDB0HKd2PbXF7Zpqaij980+K5s2nYu3a5isbjXifeip+s2biOXr0MfX3ESc2CRqItmnayyC4L0QOb/Xq9aZ6Xlj7gq7M19WXmwbf1B6ts1Gdso+M+x+wnfjwlf/h0qVLh+xTCCFOFD2CvYgN9SYpu/GO16JtWQ6DBmAeomAdNFiRvgKTZmqY5X/w6Wex5sfvMNWbJ4Krq61h+9K/2txjrbOZTPWU5uU1BATM6QozKMzKpDg7q+H1tDcPX7+GdIX+4RF4BIXy6ppC/s3WqDU0DiXwdnXi02tHMayrf4e042SlDAYiYvoQEdOHUy6/luy9u0lOXElywgqKc2wzWxxSmp/L+oU/sX7hT3j5B9A7biwx8WOJiO3bYsYQg0HRpV8AXfoFUDO7jpSNuexKyCI9uRDsT39A5t5iMvcWs3z+bqIHBdEnPowu/QMwWiYudTY4c93A6zi92+k8vfpp1mSt0a1fXF3MYysf49fweJ6If4IuEx+CLfPN8xrk7rKzR83cKyHpN/O5YNyNMGgmuLTuZoxbTAzd588j9513yH/vfXNP1kNbrqoi+5n/o2zJ34T/51mcwxxnbek0RQdY9fESarTRuuLhY6pZvGiFrqzUvY6dA2pYMOrhZjdZc/AgRd98Q9H3C6gvaD6ziVNYGH4XX4TfRRfhHHpyDucSR5cEDUTrVRbCjp/1ZcMub9PEOD/v/dkmxeKtQ27tkBSL9WVlpN12G6ayMl15yH334TlmTLvvTwghTkRTBoTpgwbbs3h0Wl+HXa+bzk1TWF3ItrxtDAoeBJi7zceOHsfOFUsb6mxbsoiwKecf9btmmslEaUFe4xACS2+BwswMirMzqa/rmMBAlUs9JR61uAcHMrb/6XTp2hv/8Ej8wsJx9WgMplTU1HHN3LUk5DqD1Z/K282Jz6+NY0gXvw5pnzBTShHWK4awXjGMv+QqcvbtbQggFGVlOlyvrLCAjYt+YeOiX/D086fXqDHExI0lql//FgMILm5O9BkdTp/R4ZQWVJG8Jotdq7MoyrY/IV59nYm9G3LYuyEHd29neo8MpU98OEFdvFBK0c2nGx+e8SE/7vmRF9e9SGmNvgt8QmYCF/x8ATcPuZkrhl2B0/CrIWWpOXiQvAi7UYvcnfDrXfDXHBh+pXnogl/LGamUiwshd96J9ymnkPHgQ9Ts1/dkLV+1ipRzphP2xOP4nH320RtOWl1G+gePkFR2ja64d2Q6m/fso7ZJJoqVA/O5deTdhHraXtxrdXWULVtG4bz5lK9YYTOhqY5SeI4fh/+sWXhNmHBMz/UgTnxy9InW2/od1FtNwWRwhkGzWr16WU0Zr214TVfW07cnF8dc3F4tbKCZTGQ88CA1KSm6cp+zzybg6qvafX9CCHGimto/jNeX7G54nlZYyY7MEvpH2A/2RnlH0cO3BynFjZ+/y9OXNwQNAIadda4uaFBeWEDZwX14dzv89G6tpZlMlBUWWAICGboAQXF2FnW1zec8P1xGDzdyXcspdK+kxLOOEo9aSjzrKPWsxdXTi4dGPcQ5Pc5xeGFUXl3H1XPXsmaf/o6kj5sTX1wXx6Aovw5pt7BPKUVoj16E9ujFuFlXkLt/H7sTV5KUsJLCjDSH65UXFbL5j4Vs/mMhHr5+9BoZT0zcOLr0H4jB2HwAwTvAjeFToxk2pRs5+0tJSshi99psqspr7davLK1ly99pbPk7jYAIT2LjwogZFYaXvyvn9z6f8VHjeW7NcyxOXaxbr6q+ilfWv8KifYt4csyT9O85CXpOMqdkXPOhuddptZ1UlVVFsPI1WPUG9DnbPHSh25gWby65DxlC9x9/IOellyn88kvdMlNpKRn3P0DpX0sIm/MkTv6d3JPGZKL++5tZtn+yrtjFWI3fQG+2fq2fpHBX11JC+sQwM1Y/5Ko2O5uib7+j6Ntvqct23EMFwBgQgN+FF+I342LpFSuOGRI0EK23QZ/tgD5ngWdgq1f/cOuH5FfpJxN6YOQDOBna/zDMe+ttyv7+W1fm2rcv4c88LRMfCiFEG/QN96ZLgDsHCyobyhZvy3IYNADzEAVd0CBtObcOubXheVjP3kTE9CUjubHnWXHStnYLGmiaRnlhAUVZmbo5BsxDCjKpq2mPHAS2XD08dWkK/cMjMPh78kHal/yR/bfddSZGTeTx0Y8T4hHicLtl1XVc/cka1qYW6sp93Z358ro4BkS2f2890XpKKUKiexAS3YMxMy4j/+B+Sw+EleSnHXC4XkVxEVv+WsSWvxbh5u1D75HxxMSNpcuAwRibuauslCI02ofQaB/GXtSL/dvySUrMInVLHqZ6+3euCzLKWf3DXlb/uJcuffyJjQ+nx5BgXjrlJc7pcQ7PJDxDdoX+YnZnwU4uWXgJl/e9nFuG3IJHQA+Y+h+Y9DBsnmdOy5i/x3Znmgl2/mx+hA00Bw8GXATOjufZMLi7E/b4Y3idOonMRx61ubAuXbyYivXrCX/mabwnTXK4nXb3z7Ns3mCgsE7fc2LwaQEk/PCSrqzMrY5NfUv5YvQTGA1GNJOJ8lWrKZo/j9K//4EW5jbxGDUK/1kz8Z48GXUSZTERxwcJGojWydwMWU1Svgxt/QSIB0sP8tkOfdBhQtQExkS2/zCB0iVLyHvrLV2Z0c+PqDfewODu7mAtIYQQ9iilmNo/jA+W72soW7Q9i3vOiHW4zvjI8czdPrfh+fb87eRV5hHkHtRQNuys6bqgQVVeDlX5jieZa0rTNCqKi/QBAavAQNMuw+3Fxd1dN8eAdZDA3dunITCtaRqLUxfzbOITFFUX2WzH19WXh0Y9xLTu05oNZpdW1XLVJ2tZv18fMPDzcOaLayVgcKxRShHUNZqgrtGMufhS8tMOkpy4gt0JK8k9kOpwvarSErb+/Qdb//4DN08veo6MJyZ+LN0GDsHo5OxwPaOTgR5DgukxJJiqslr2rM9mV0IW2fvs9AQA0ODgzkIO7izEydVIr6HBxMYP5MfpP/LGpjf4etfXaFZDEEyaiU93fMpfB/7iifgnzOdtrt4w6noYcS3s/dscPNjzp/39ZW2Fn26FP5+A4VeZ1/GNdPh6vMaOpccvP5P1f/9Hyc+/6JbV5+WRdvMt+F18ESEPPoTRq4PnQdnyLaVL57K2XD+ZdlC4M/t3/EJtVaWufNXAfC4ZfDk9CSb/o48onP8NtQccB40ADD4++J53Lv4zZ+Las+N7WglxuCRoIFpnQ5MJEH2izF3VWumV9a9Qa2rsPueknLhvRPunWKzeu9c88aE1o5HIV1/BJcrxl5QQQgjHpg7QBw2Ss8vYm1tGz2D7qcSGhgzF09mT8tryhrIV6Ss4r9d5Dc97jRyNV2AQZfl5DWVFSfpc8ZqmUVlaohtC0JiZIIOaSv1Je3txdnVrSFfYEBgIi8AvLBwPX78We6zlVebxfwn/x5IDS+wuP7XLqTw++nFdEMWekqparvx4DRsPFOnK/T2c+fK6ePpF+LTpdYnOFxjVhdFRsxl94WwKMtLZbemBkJO61+E6VeVlbF/6F9uX/oWrhyc9h48iZvQ4ug0cilMzd6DdvJwZcEoUA06Joii7gqTELJISsigtsB9Aq6uuZ1dCFrsSsvDyd2Vi3AwmjjiDF/b8H3uK9D0I0svSufGvGzm7x9k8MPIB/N38wWCA3pPNj7w9sOY92PQV1JTZ7qwiH5a/DCtehX7nmnsfdBlld+iC0ceHyBdewPu0yWQ9+ST1RUW65UXffkf5qtVEPPdfPEaOdPj3OCJp6+CnW1lRchd1mr6HRGSfAhIXbNKVJUeV0lN5cuFXB9nzx0R9Okk73AYPwn/mLHzOnCo3tMRxQYIGomW1lbD1G33ZkEughcl7DlmbtdZuisXuvm3L79uS+pIS0m65FVOFfnKg0AfuxzM+vl33JYQQJ5OhXfwJ9nYlt7SxW//i7VncMrGX3frORmdGh4/mrwONaciWpy3XBQ2MTk4MOWMaK77+tKGs7EAKCd99RXlBPkWWHgPVFeV0BCdXV/xDwxuCA37hEfiHmn96+vkf1lA2TdNYuG8hz615juJq23R1fq5+PBL3CFOjp7a4/eLKWq74eA2bDxbpygM9Xfjy+jj6hEnA4HgTEBFJ3PkziDt/BkVZmQ1DGLJTdjtcp7qinB3L/2HH8n9wcXenxzBzACF68DCcXVwdrucX6kHc9B6MOrs7GXuKSErIYs+GHGqr7HeRLyusZsOi/bAIZnd7mPwuKXxW8yZlRv1x/GvKr6xIX8EDIx/g7B5WkxMG9YKzXoRTHzMHDhLfg8J9tjvS6mH7AvMjfAjE3wz9zwcn29fiM+UMPIYNJfPxJyhbulS3rDY9nf1XXEnAVVcRfNedGFwd/y3arDgd5l1CavkAUqr154+9R3qw8fd3dGX1hjrOXZNH91wT5fzucLPKwwPfs8/Gf9ZM3Pr1a7/2CtEJJGggWrbzV9tcvUMvbdWq9lIs+rn6tXuKRc1kIuP+B2xm3vU9dzr+V7R+GIUQQghbBoNiSv9Qvkho7Gq7eJvjoAGYh6BZBw1WZ6ym1lSLs6Gxq/Wg06aQ8P28xjkGTCY2/PpDu7XbydkFv7Bw/Cy9BPytAgRe/oHtOsdNbkUuTyc8zdKDS+0uP73b6TwS90iLvQsAiitqufzjRLak6b97g7xc+Or6eGJCvduhxeJo8gsLZ9S5FzHq3Isozslu6IGQuSfJ4To1lZXsWrmMXSuX4ezqRo9hI4mJH0v3oSNwdrU/X4AyKCJj/ImM8Wf8rBj2bc4lKSGLgzsKHE7cn7u/DPaHcLnhaQpCDrDG50/2+2/HZDAHHIqqi3hkxSMsTFnIY/GPEeUd1biym685EDDqBtj9p3noQso/9neUuQl+uBH+eAxGXGN+eOvTKzoFBxP1ztsUL1hA9rP/0d8Y0jQKPvmEsuX/EvH887j37+/wb9dqNeUwbzZ1pYUsL52jW+Tm5URxxkKbHk5xe3IJKTXhiGtMDP6zZ+FzzjkYvez3zhLiWCdBA9GyjU0mQOx+CvhHt2rVH/f8yK4CfX7fjkixmPvGG5QtW6Yrc+vfn7CnnpKJD4UQoh1M7R+uCxpsTismvaiSSD/7XWvHRo7VPS+tLWVTziZGhjV2J3b39qHv+IlsXbK46eqtZnR2xi80vCE4YD2kwDsgsMPTOGqaxq8pv/LfNf+1SV8H4O/qz6PxjzIlekqrtldUUcNlHyWyLV0/Jj3Iy5Wvr4+jtwQMTji+IaGMOOcCRpxzASV5OexOXE1y4koyknY4XKe2uoqk1ctJWr0cJ1dXegwZQe/4sfQYNhIXN/v/k84uRmJGhhEzMozy4mqS12STlJBJfrr93jyaCfyzujIl61qqnSrYE7iBpOA15HjtBwUrM1Zywc8XcOuQW7m076X6ia0NRoidan7k7DIPXdg8D2rtpIosz4Vlz8Py/5l7HcTdBFHDGxYrpfC78EI84uLIfOhhKtat061es2cvqTNnEXzrLQRef/3hpyY0meDHmyFzM+vLZlNSrw9gdOmdwda/N+rKIgtKCCm1fU3KxQWfM6fiN3MW7kOHyLmoOO5J0EA0r2Af7PtXXzasdXfuy2rKeH3j67qyXn69uCjmovZqHQAlf/xB/jvv6sqMAQFEvfE6BjfHM/UKIYRovbgeAfi6O1Nc2ThW94/tWVw91v5QsxCPEPoG9GVnQeNkh8vTl+uCBgDDzzqX7Uv/wtTMzOIGoxO+oWH4W3oL+IVFNgQHvAIDW8x131Gyy7N5OuFp/k371+7yqdFTeTjuYQLcAlq1vcLyGi79MJEdmfqAQYi3K19dH0+vELlLeaLzCQph+LRzGT7tXEoL8tiduJrdiStJ27UdR10D6qqrzUMdElfi5OxC9JDhxMSPpcewUbh6eNhdx9PXlaGnd2Xo6V3JSytlV0IWyWuyqSyxn3LUtc6D/tnj6J89jiK3HJKD17I7aB2lbgW8tO4lftv3G0+NeYo+AX1sVw7pA2e/Aqc9ARu/gDXvQ5GdCQJNtebhsFu/gaiR5uBB3+ngZJ7HwSUqiq6ffUrBp5+R+8oraDVWba2rI/e11yn9ZykRzz2Ha4/DGAK77HnY8RNFdRFsKD9ft8jfmMHOP78CY2MQ0rW2jn4Z+qxgLt264TdrFr7nndv56SGF6EASNBDN26TPl4ubnzn3biu8v/V9Cqr0+aTvH3l/u6ZYrEpOJuOhh/WFTk5EvvoKzhER7bYfIYQ42TkbDZzWN4QFG9IbyhY3EzQAGB81Xh80SFvOPcPv0dUJjOrK5BvvZNm8zzHVVhPevSdBkV10ExF6BwUftcCAPZqm8eOeH3lx7YuU1tr2LghwC+Cx+Mc4vdvprd5mgSVgsLNJwCDUx5Wvr4+nh4NJJ8WJyzsgiGFnnsOwM8+hrLCAPWvMPRDSdmxD0+x3h6+rrWHP2tXsWbsao7Mz0YOHERM3lh7DR+Hmaf8YCoryZtxF3ow5vycHdxaSlJBJyuY86mvt78OvKoRRB6cx6uA0Mnx2kxS8lt11m5j16yyu6H8FNw++GXcnO70d3P1hzO0Qfwsk/W4eupC63P6LT1trfniFwcjrzJkXvIJRBgOBV1+F17ixZDz4EFU79L0xqrZsYd8FFxBy3334XzK79T2Nti2AZc+habCs5HpMWGWsMNVRnfYldZ76z6ABabk415vAyQnv007Df9ZMPOLiOrx3kxBHgwQNhGOmevNkNtYGzWg2z+4hB0sO8sWOL3RlE6MmMiai/VIs1hcXk3bb7WhNJz586CE8R41qt/0IIYQwm9o/TBc0WLOvgPyyagK97E9CNj5yPO9veb/h+Z6iPWSWZRLuFa6r12vUaFKKzBffZ5xxBu7H8GziWeVZzFk9h5XpK+0uP6v7WTw06iHz7PKtlF9WzaUfJrIrSx+ACPNx4+sb4uke1MGp5cQxz8s/gCFTpjFkyjQqiovYbQkgHNy+Bc1k/+K+vraWvesS2bsuEYPRiW6DhhATP46eI+Jw97Id5mIwGug2IJBuAwKprqxj74YckhKyyNhd5LBdESW9iSjpzfiUi9gXsJW/ClazZN8SHh/7OPHhDiahNhih79nmR/Z2c/BgyzdQZyfLQ1kW/PN/8O8LMOAiiLsRIobg2rs30fPnkffOO+S99z5Y9VTSqqrI/r//o+zvJYQ/+yzO4eG227WWsRF+vAWAXUXjSKsZolvsl/UDWU0CBhEFpRipxOmmK4i+5FqcQ0Ka34cQxzkJGgjH9v4NJen6sqGXt2rVl9e/rE+xaHDi3hH3tlvTtPp60u+73yb/re/55+N/6SXtth8hhBCNJsQE4+5spLLWfIJu0uCvndnMHNnVbv2BQQPxdfXVZRJYnr6cGbEzOqW97UnTNH7Y8wMvrn2RslrblHKBboE8PvpxTut6Wpu2m1tazaUfJpCcrd9mhK85YNAtUAIGQs/D14/Bp5/J4NPPpKKkmD1rE9iduJID2zY7HOZjqq9j38Z17Nu4DoPRSNcBgxsCCB4+tvNMubo70W9sBP3GRlCSV9mQvrE4136aUyfNhd75w+mdP5zyvcV8tP1XFg37h7tOvxk/Nz/HLya0P0x/AyY/BRs+hTUfQkmabb36Gtj8lfnRdTTE3Yjqcw7Bd9yB18SJZDzwIDWpqbpVyletJmX6uYQ99ig+06fb339JJtqXsylN1chNiWBFt2vBKgbqXJVOnvN+oLH3gMFUx58jChg541bGD73V8WsT4gQiQQPh2IYmEyCGD4bwQS2utiZzjU1u6kv6XEK0b3S7NS331dcoX67v0uY2cCBhc56UyWaEEKKDuDkbmdQnmN+2ZjWULdqW5TBoYDQYGRsxlt/2/dZQtjzt+AsaZJZlMmf1HFZlrLK7/Jwe5/DgqAfbPMlvTmkVl3yQyJ4cfcAg0s+dr6+Pp2ug/fHoQhzi4ePLoNOmMOi0KVSWlbJ3XSLJCSvYv2UTpvo6u+uY6utJ3byB1M0bUB8Y6NJ/EDFxY+k9ajQevn429X2C3Bk5rTsjzoome18JuxKy2LMum+oK+9v3rPVlSOapsBDeXPYbPUcGMn3KKXj6NdNT1SMAxt0No2+HXb+aUzYesP//xoHV5odPJIy8DvdhV9L9hwXk/O8VCj//XP9aS0vJePAhSv9agt9DD+mW1R7cR9HjF1O02URdZQC7e15AjWvj69c0DWPB99S564cb/DWiAGNsd64ddL3j1yPECUaCBsK+8jzzeDNrrehlYC/For+rPzcOvrHdmlby++/kf/CBrswYGGie+LA98/QKIYSwMaV/mC5osHJPPiVVtfi4OdutPyFqgi5okJiVSHV9Na7GY//zWtM0vk3+lpfXvUxFne0M6cHuwTwx+gkmdpnY5m3nlFQx+4ME9ubqZ66P8jcHDLoESMBAtI27lzcDJk5mwMTJVJWXkbJ+DcmJK0ndtJ76OvsX+JrJxIGtmziwdRNLPnqHqH4DzAGEuDF4+umH2CilCOvhS1gPX8Zd3Iv9W/PZlZDFgW35mEz2J2n0Lwuj4B/45J+VhPXxYvDYaLoPDsLJxcEcJUYn6H+e+ZG52Rw82PqtuadBUyXpsOQpWPY8hoEXE3btTXifOomMhx+hLitLV7X0zz8pX78ez7OnoTk5kf3771QuWwYagJFSz0jSoibq/54FSyhy1//dUsLLORBWydzRT+JidLH/GoQ4AUnQQNi3eZ55FttDnNxg4MUtrvbDnh9IKtTnGL5t6G34uPi0S7OqkpLIeORRfaGTE1Gvv4ZzWJj9lYQQQrSbU/uE4GI0UFNvHkddU2/in105nDsk0m79sRFjUSg089k5lXWVrMtaZ5OS8ViTXpbOk6ueJDEz0e7yc3uey/0j7z+sFMJZxVVc8kECKXn6gEGXAHPAIMpfAgbiyLh5etFvwqn0m3Aq1RUVpGxYQ3KCOYBQV2s/Q4KmmTi4fQsHt29hySfvEtWnP73jxtI7bjTeAUG6uk7ORnoOC6HnsBAqS2vYvS6bXQlZ5O63nRgUQKHI3lXOH7u24+JmpOfwEPrEhxHe0w9lcNBDNHwwnPe2ZejCXFj7EZRm2tarq4KNn8PGz/GMHk+Pl24m+9v1FP/0s66aqaCAyM/MPRGsB1loKJJjZqKpxkCGMpVS6blXV7HSpZ7E/gVc2PtChocOR4iTiQQNhC1NM3/4Wus7Hdz9ml2ttKaUNza+oSvr5deLC3pf0C7Nqi8qIu3W29Aq9ePpwh59BI/h8uEthBCdwdvNmbG9AvknKbehbPH2LIdBAz83PwYFD2Jz7uaGsuXpy4/ZoIFJM/Ft0re8vP5lKutsx2+HeITw5OgnmRA14bC2n1lcyez3E0jN1/dc6BbowdfXxxPhd+xOAimOT64eHvQdN5G+4yZSU1lBysZ17E5YScrGddTVVNtfSdNI27mNtJ3b+Gfue0TE9mvogeATFKyr6u7twqBJXRg0qQsFGeVsWLGHbavTcK60fyzXVNWzc2UmO1dm4h3oRmxcGLFxYfiFOgiWeQXDhPth7F2w4ydz74O0Nfbrpi7HmLqciLCueN0yhayvEqkvKmr275MZFk+xb09dmafvWvIO6IN6Cf0L8PLx5+7hdze7PSFORBI0ELbS1kHuLn3ZsJaHJnyw5QObFIsPjnqwXVIsanV1pN9zL7Vp+slx/C6+CL9Zs454+0IIIVpv6oAwXdBgaVIuVbX1uDnb73I8IWqCPmiQtpyHRj1kt+7RdLD0IE+uepK1WWvtLr+g9wXcN+I+vF1sZ55vjYyiSmZ/kMD+JgGD7kGefHV9HOG+EjAQHcvF3YM+YybQZ8wEaquq2LdpHckJK0nZsJbaajvZCywyknaQkbSDpZ99QHivWGLix9I7biy+IaG6egERnkyeMZhJFw7k1xVLWPHPNiJz+uBssj8cqTS/inW/pbLut1TCevgQGx9Or+EhuHnaGe5kdIaBF5kf6evNwYNtC/Q9Yw8pPoAPn+Ax2ZPMHb0o25FrWweoc3Mnpfe5+r+RWyp5BzbpylLDytkfXsELo+YcVu8iIY53EjQQtjY2mQDRPxq6jWt2lQMlB/h8p753wsQuEx2n22mjnFdeoXyVfkIc98GDCX38cZn4UAghOtnkvqEY1FYODWOuqKln+e48Tu8Xarf++Mjxup5oB0oPkFqc2q4T5B4Jk2bi611f89qG1+z2Lgj1COWpMU8dUe+ItMIKZn+QwMEC/fZ7BHny9Q3xhPq0nM5YiPbk7OZGTPw4YuLHUVtTTeqm9ZYAwhpqKu1nSQDI3JNE5p4kln3xMaE9ehMTP5aYuLH4hTWmNjQaDZx7yulMGh3HKwmvsXlNCrG5o4gs7o3CYHe7WSklZKWUsPybZLoPDCI2Poyu/QMxOtmpHzkcLngfTn8G1n9iHrpQnmNTzcmpnKiBmyn2cid7UwCmGvOHlqtfLf69ytkYeC411Y1BQM1UQXXxn7ptVDnXk9C/gLGRY5kaPbXZv6kQJyoJGgi96jJz1Nba0MvAYP8D/pCX171MnalxshgngxP3jbivXZpU/OtCCj76WFdmDA4i8vXXMbjIJDRCCNHZAr1cGRkdQOK+xt5li7ZlOQwa9AnoQ7B7MLmVjXf7lqcvPyaCBgdKDvDEqidYn73e7vKLYi7i3uH34uXiddj7OFhgDhikFeovxHoGe/L19fGESMBAHGXOLq70HjWG3qPGUFdTw/6tG0levYK969dQXVHucL3slN1kp+xm+VdzCYnu2dADISDCPFzJx8WHJyc8zrqYdTy1+in+yS2kd94IYnJHEVBpfy4qU53G3o257N2Yi5uXM71HhtInPozgrt62N4q8Q2HiQ+bMC9t/hMR3IGOjropS4NejEq/IDCqyXXH2qsfNv5bs2hh2Fpyhq+vqtoqSYv28DIn9C8DDhcfiHpMbVeKkJUEDobfjR6ixSv2kDDDk0mZXScxM5O+Df+vKLu1zKd18uh1xc6p27iTzscf0hc7ORL32Os6hIUe8fSGEEIdn6oAwXdDgr53Z1NabcDbaBpmVUoyLHMcPe35oKFuetpzL+7U89K2jmDQTX+38itc2vEZVvW237AjPCOaMmcPoiNFHtJ8D+eaAQXqRPmDQO8SLr66PJ9j72M8iIU4uTi4u9BweR8/hcdTV1nJg2yaSE1ayd20CVeVlDtfLSd1LTupeVsz7jOCu0fSOH0tM3DgCo7owImwE303/jve3vM/HWz9mU8QSgsqjiM0dRa+84bjX2Q/KVZXVsvWfNLb+k4Z/mAex8WHEjArDO6BJoM3JFQbPhEEzIG0tJL5rnv/A+oaWq4ZPV/P/ukkzsKzqHv02tL2UZG/RFe0PrWBfeAX3DLmHKO+oNvwVhTixSNBA6G1oMgFir8ngE+Gwer2pnufXPq8r83f154bBNxxxU+oKC80TH1bpT+bCHnsMj2FDj3j7QgghDt+U/mE89cuOhufFlbUkphQwrneQ3foToiboggbrstdRUVuBh3PnZwpILU7liVVPsDFno93lM2Nncvfwu/F09jyi/ezPL2f2+wlkFOu/x2JDvfny+jiCvCRgII5tTs7O9Bg6kh5DR1J/fS0Ht20hOXElu9cmUFVa4nC93AOp5B5IZdU3XxIY1bVhCMNtQ25jSvQUnlr1FFvUFvK80ljd7Ue6FPUlJnck0YUDMWr2L08KsypI+DGFhJ9SiIr1JzY+jB5DgnFxs6qvFHQZZX6UZJiHLaz/BCryddvaYppNXkVjzyjNVIlW84+uTrVzPQkD8ukT2OeoBjiFOBZI0EA0yk2Ggwn6sqHNf0h+v/t7dhfu1pW1R4pFra6O9LvvoTYjQ1fuN3Mm/jNnHNG2hRBCHLkIP3cGR/myOa24oWzR9kyHQYP48HiclBN1mvnOX62ploTMBE7temqntBfMge4vdn7BGxvfoLredtb4SK9InhrzFHHhcUe8r3155oBBVok+YNAnzJsvr4sjUAIG4jhjdHImekvFElYAAERMSURBVMhwoocMZ/J1t3Jw+1aSE1ewe81qKkuKHa6Xn3aA1d8dYPV3XxMQEUVM/FheHvUUf1Um8MbGN6ioq2B/wHb2B2zHpc6dnvlD6ZsXR0hJtP0NapC2q5C0XYUsc0mi59AQYuPDiIz1x2CdvtEnAk573Jx5Ydv3mBLeRWVvJcu5P2sKLjZvyMLACior9UGQxH6FVLvBk6OfbJdJvYU4nsl/gGjUNM2iRxDEOJ7wpbSmlDc3vqkr6+3fu11SLOa8+BIVCfoAhvvQoYQ9+sgRb1sIIUT7mDIgTBc0WLw9m6enD9CfuFt4uXgxLHQYa7IaU6UtT1/eaUGDlOIUHl/5OFtyt9hdPrvPbO4adle79HzYm1vGJR8kkF2iD0z0C/fhi+viCPCU+XjE8c1gNNJt0BC6DRrCadfeTNqO7eYeCIkrqSgucrheQUYaCQvmk7BgPv7hETw17Er+cNvIn5UJoKDGqZKdoavYGboK38pgxlVMIyZ3BJWF9Xa3V1djIikxi6TELDz9XImNCyU2LpyACKteQs5uMPRSqvtcwB+LF5G/2Z3amsaAQX3NXmrLt+q2ezCkgpSIci7tcykDggYc0d9KiBOBBA2EWX0tbP5aXzZ4Fjg5PrF5b/N7FFYX6soeHHnkKRaLf/6Zgk8/1ZU5hYQQ+dqrKJn4UAghjhlT+4fxwqKkhue5pdVsPFjI8G4BdutPiJqgDxqkLUfTNLt120u9qZ7PdnzGmxvfpMZUY7M8yiuKp8c+zciwke2yvz05Zcz+IIHcUn3AoH+ED19eF4efh3yPiROLwWCk64BBdB0wiFOvvoGMpJ0kJ5gDCGWFBQ7XK8zMoHBhBpHA9QED2RmYx87gfPJ9a0BBsXsuC93nsjjoS64Nuo0+eXHs25BHTZX9AEJ5UTUbFh9gw+IDBHf1Ns9/MDIUd+/G/7mqfGcqMxufa6YqtDr9vFzVTvWsGlBAqGcotw+9/cj+OEKcICRoIMySF0N5kxy2w65wWH1/yX6+3PWlrmxSl0lH3KWzcvt2Mh9/QlemnJ2JeuN1nENk4kMhhDiW9Aj2oneIF7tzGidHW7w922HQYHzkeF5a91LD8+yKbJILk+nq3rVD2re3aC+Pr3ycrXlbbZYpFJf2vZTbh97ebvMq7M4uZfYHieSV6QMGAyN9+eLaOHw97OSeF+IEYjAYieo7gKi+A5h05fVk7E4iOWEFyYkrKcvPc7hebUEJvQpc6LU7nDK3OlLDK9gfVk6uXw111PJe7itE+0TzxH1P4pfVhaSELA7sKEAz2Q865h4oJfdAKau+20PXAYHExoUR3MOdoh36YUGm2n+pq9ZnS1jbr5BKt3qei3vkiOc1EeJEIUEDYdZ0aELUKAiOdVi9I1Is1uXnk3bb7WjV+pOtsDlP4j548BFtWwghRMeYOiCM3X/vaXi+aFsWD5/Zx25qsu6+3Yn0iiS9LL2hbHn6ci7t1XyWnraqM9Uxd/tc3t70NrWmWpvlXb278vTYpxkeOrzd9pmUVcqlHyaQV6bvzTA4ypfPro3D110CBuLkogwGImP7Ehnbl4mXX0vW3t0kJ64kOWEFJbk5DtfzqnJiwD4fBuzzodytjv1hFaSGVZCqpXLNkqu5OOZi7r7hbgyVfdi9NpukxCzyDtrP6mAyaaRuySN1Sx4Go8JUb2xYVl+7j9qKbbr6acGV7IksZ3LXyZ0634oQxzoJGggoyYTdf+jLhjmeADEhM4F/DupnmL2s72V09Tn8O0VabS3pd91NXWamrtz/ktn4XXjhYW9XCCFEx5rSP4w3rIIGBwoq2JlZSr8I2wlxD6VenJ80v6FseVr7Bg12F+7m8ZWPsz1/u+3+UVze73JuG3ob7k7u7bbPXVklXPJBIgXl+oDBkC5+fHbtKHzcJGAgTm7KYCC8dyzhvWOZcOnVZKfsaQggFGdnOVzPs8qJfqk+9Ev1ocLVHED4N/9nlh5YyiPxjzB58mSGTO5KXloZSYlZJCdmUVFiOwwJwFTf2CtB06oxVf+lW17jZGLVgHw8XTx5aNRD7fPChThBSNBAwOavQDM1Pnf2hP7n261aZ6rj+TX6FIsBbgHcMOjIUixmv/AiFWvX6srcRwwn9CH50BZCiGNZ/wgfovzdSSusbChbtD3LbtAAzPMaWAcNNudupqTGceq21qo11fLJtk94Z/M7up5wh0T7RPPM2GcYEjLkiPdlbUdGCZd+mEBhhb5Hw7Cufnx6zSi8JWAghI5SirCevQnr2Zvxs68kJzWF3ZYAQmFmhsP1PKqd6Lvfh777fah0qWf+umf4c/A33H3uU4RFhRMU1YvR5/Xg4K5CkhKySNmUS32tye626iqXUV/bZFhC30Iq3Ot5ZNidhHqG2l1PiJOVBA1OdpoGG7/Qlw04H1y97VZfsHsBe4r26MpuG3ob3i7267dG0YIfKPxcPzzCKSyMqFdl4kMhhDjWKaWY2j+MD1fsayhbvC2Le06PsVt/ZNhIXI2uDSkP67V6ErMSj6gNSQVJPL7ycXYW7LRZZlAGrux3JbcMuQU3J7cj2k9T29KLueyjRIqaBAxGdPNn7jWj8HKV0ywhmqOUIrR7T0K792TszMvJO5Bq7oGwegUFGWkO13OvMdLngDccyOCjxdcSOCiWKWdcRtf+g+nWP5Bu/QOpqaxj78YckhKySE8uali3vjaV+mr9sIT0oEp2R5UxKGgQM2IktbcQTcm32clu/0ooSNGXDbU/AWJJTYlNisUY/xgu6HX4KRYrt24la84cXZlycSHqjddxCrKf61sIIcSxZeoAfdAgKbuUlNwyegR72dR1d3JnZNhIVqSvaChbmbmSMYxp835r62v5cOuHvL/lfeo0294F3X2788zYZxgc3P7z4mxNMwcMiiv1AYNR0QF8fPVICRgI0UZKKYK7dSe4W3fGzriM/LQDJK1ewe7EleQd3O9wPbcaA+XrdrNg3ZM4e3oQO2osMfHj6DpgEH3HRNB3TAQleZVsX5nG9sRdlB7UD8mtNZpYNTAfJ4MTT4x+AqPB6GBPQpy85BvtZLehyQSIQTHQZZTdqo5SLB7uh2tdXp554sMa/dizsKeewn3gwMPaphBCiM43rKs/wd6uujSDi7dnc/NE26ABmIcoWAcNVmetJt4tHoMytHqfuwp28diKx0gqTLJZZlAGru5/NTcPuRlXo6udtY/M5oNFXP5RIiVV+kBFXPcAPr5qJJ4SMBDiiAVGdWXMxZcw5uJLyE8/yO6ElSQnriR3/z6H69SWV7Dtnz/Z9s+fuHp60mtEvDmAMHAIQ86IYtua9zDV6CdNXNenkHL3eq7tfy2xAY4nARfiZCbfaiez6hLY8ZO+bOjlYGfG69TiVL7a+ZWu7LSupzEq3H6AoSVaTQ1pd95FXXa2rtz/8svxO/+8w9qmEEKIo8NgUJzRL5QvEw80lC3ensXNE3varT8ucpzueWF1IRnOGUQ5RbW4r9r6Wt7f+j4fbvnQbu+CXn69eGbsMwwIGtDGV9E6Gw8UcsXHayhtEjAY3SOQj64agYeLnFoJ0d4CI7sQeOEs4i+cRWFmOltWLiFh6S845VY6XKe6vJzty5awfdkSXNw9iOzbn5I9u3R1MgIrSepaRpRXFDcNvqmjX4YQx63Wh/TFCce44weos/qwNTjB4Nl267687mXdyZmzwZl7h9972PvOfu45Ktev15V5jBxJ6AP3H/Y2hRBCHD1T+ofpnm86WERmsf0T+i7eXeju211XllRr22Ogqe3525m5cCbvbn7XJmBgVEauH3g988+e32EBg/X7C7niI9uAwbheQXx81UgJGAjRCfzDIznloit48M1vGfrozSQPqifXt7rZdWoqK9i3QT/htnlYQgEoeHz04+0+54kQJxIJGpzEnLboew4QMxW8gm3qrcpYxdK0pbqyy/pdRhefLoe136LvvqPwq6/1bYkIJ/K1V1HOMsu0EEIcj+J7BOLjpr9o/mN7toPaMD5yvO55cl2yw7o19TW8vuF1Ll14KbsLd9ss7+3fmy+nfckdw+7AxdgxE+iuSy3gio8SKa3WBwzG9w7iwytH4O4i46CF6GynDprGqw8uIOSGM1kwKZM1fQrI8atq1brrY4so86hjWo9pjIlo+5wqQpxMJGhwkvKpPIAha7O+cJjtBIh1pjpeXPuirizALYAbBh5eisXKTZvIeuppXZlydSXqjTdwCgg4rG0KIYQ4+lycDEzuq09Ttmib4/zrE6Im6J6n16dTZiqzqbctbxszf53JB1s/oF6r1y1zUk7cNPgm5k+bT//A/kfQ+uat2VfAFR+vobxGv/9TYoL54IoRuDlLwECIo8XdyZ17RtzDBxd/jjYiit/GZPPNpDQS+xaQ7V+FhmazTlZAFbu6leLr6sv9I6SXqxAtkX50J6mu+f/qC7zDoedpNvW+T/7eJsXiHUPvwMvF/uRWzanNySHtjjvRavUzTYc/8zTu/TvuZE8IIUTnmDIgjAUb0xueJ+7Lp6C8hgBP27v/w0KG4eHkQUVdRUOZdW+D6vpq3tn0Dp9s/wSTZptrPdY/lmfGPkPfwL7t/Cr0ElLyuWbuWiqaBAwmxQbzzmXDJWAgxDGiX2A/vpr2FV/s+IK3Nr3Fzu6l7OxeinuVkW5ZHkRneeBb5kyBTw3LB+eBgnuH30uge+DRbroQxzwJGpyEDKZauhSs1BcOuQSM+sOhuLqYNzfpUyzG+sdyXq/z2rxPraaG9Dvvoi4nR1cecOWV+E6f3ubtCSGEOPZM6B2Mu7ORylrzBbZJg792ZDNjpO1wNmejM6MjRrPkwJKGsuRac9Bgc+5mnlj5BCnFKTbrOSknbhh8A9cNuA5nY8cOaVu1N49r565reD2HTO4bwluXDsPVSQIGQhxLnAxOXDXgKk7rdhrPrH6G1ZmrqXSrZ1d0KbuiS3V1R4aNPKxzWiFORjI84SQUVrwel/pyfeHQy2zqvbflPYqqi3RlD446vBSLWc/+h8qNG3VlHvHxhNx/X5u3JYQQ4tjk7mJkYqx+bpxF21s/RGFP7R5e3/w6V/x+hd2AQd+Avsw7ex43D765wwMGK/fkcc3ctTYBg9P7hfL2pcMlYCDEMayLdxfeO/09nh33LH6ufjbLnQ3OPB7/OMpOxjAhhC0JGpyEujUdmhA9HgJ66Ir2Fe/j6536yQond53MyLCRbd5f4fxvKJo/X1fmHBFB5Cv/QzlJZxchhDiRTB2gz6KwYnceZdW2qRHBNvViFVV8kfSFzXAEJ4MTtw+9nS+nfdkpedT/Tc7lmrlrqarVt2NK/1DeumQYLk5y+iTEsU4pxfSe0/npvJ+Y1mOabtkN/W+wyeAihHBMvvVOMqr4IMGl2/WFQy+3qWcvxeI9I+5p8/4qNmwk6//+T98GNzei3noTJ3//Nm9PCCHEsW1SnxCcjY1372rqTfyzK8du3RCPEPoE9Gl2e/0C+/HN2d9ww6AbcDZ0fIadpUk5XPfZOqrr9AGDswaG8aYEDIQ47gS4BfDc+Od4d9K7jHMdx8UeF3NFH9vJv4UQjsk330nGuHUeynoWWVdf6KefU2BV+iqWpS3TlV3e73K6eLctxWJtdg5pd94BTSc+fPb/cOvbsRNXCSGEODp83JwZ0zNIV9bcEIWmqRcPcTY4c+ewO/nyrC/p7d+7XdvoyD+7crjhs/XUNAkYTBsUzmuzhuJslNMmIY5Xw4KHMdV9KoNdBsuwBCHaSL79Tiameoxb5+nLBl4Ezu4NT+tMdbyw9gVdlUC3QK4feH3bdlVTQ9odt1Ofm6crD7j2GnynTXOwlhBCiBNB0yEK/+zKoarJ3ACHnNr1VJuygUED+facb7lu4HU4GTpnGNuSndnc+Pl6aur1AYPpgyN4beYQCRgIIYQ4ack34MkkZSmGknR92TD90IRvk79lb/FeXdkdw9qWYlHTNLKefpqqzVt05Z5jxhByT9uHOAghhDi+nN4vFOsbeRU19azYnWe37oCgAVwacykGDLgpN24fdDufnfkZPf16dlJr4Y/tWdz0hW3A4LwhEfxvxmCcJGAghBDiJCaz0J1MlAFT+BAMmZsAMIX0xxA+pGFxcXUxb216S7dKn4A+nNvz3DbtpmjePIq/+15X5tylC5H/exlllNmmhRDiRBfk5crI6ADW7CtoKFu0PYvJ/ULt1r9zyJ1EZ0Xjolw4s8+Znda7AGDRtixu+2oDdSZNV37BsEhevGgwRoN0YxZCCHFyk9D5yaTnJKqvWMTffZ5lb/AZ1A2/DutbQe9ufpfi6mLdKg+MfKBNKRYr1q0j69n/6MqUuztRb76J0c/viJovhBDi+DG1v36Iwl87s6ltciffmrvBHaPq3MDy71sz7QYMLhoeJQEDIYQQwkKCBiehUvcubIu6jPpBsxvKUopTmLdLP9/B6d1Ob1OKxdqsLNLuvAvq9Km1Iv77H9xiY46ozUIIIY4vU5rMa1BUUavreXC0/bolg9u+3mgTMJg5ogsvXDhIAgZCCCGEhQQNBAAvrX3JNsXi8NbPP2Cqribt9juoz8/XlQdefz0+U6e2WzuFEEIcHyL93BkU5asrW9xMFoXO9PPmDO6ct4n6JgGD2aO68t8LBmKQgIEQQgjRQIIGghXpK1ievlxXdkW/K4jyjmrV+pqmkfXkHKq2btWVe44fT/Bdd7ZbO4UQQhxfpjQZorB4examJhfqne3HjencNW+jTcDgsviuPHveAAkYCCGEEE1I0OAkV2uq5cW1L+rKAt0CuX5Q61MsFn7xJcU//qgrc+7alciXXpSJD4UQ4iTWNGiQXVLNprSio9MYYMGGNO75ZhNN4xZXjO7GM+dKwEAIIYSwR4IGJ7lvk74lpThFV3bnsDvxdPZs1frliWvIfu45XZny8KDLW29i9PV1sJYQQoiTQa8QL3qF6FP2Lt52dIYofLvuIPd+u9kmYHDVmGiemt4fpSRgIIQQQtgjQYOTWHF1MW9vfltX1jegL+f2al2KxdqMDNLvugvq63XlEc/9F9fevdurmUIIIY5jTbMoLNqehaZ17hCFb9Ye5IHvt9B0t9eO686T5/STgIEQQgjRDAkanMQ+3PGhTYrFB0c9iEG1fFiYqqpIu+126gsLdeWBN9+EzxlntGs7hRBCHL+mNsmisD+/gl1ZpZ22/6/XHLAbMLhhQg8em9ZXAgZCCCFECyRocJLKqc/huz3f6crO6HYGw0OHt7iupmlkPvEEVTt26Mq9TjmF4Ntvb9d2CiGEOL71j/Ah0s9dV7aok4YofJGwn4cXbLUpv+mUnjx8Zh8JGAghhBCtIEGDk9SiykXUa43DClwMLtwzonUpFgs/+4ySn3/RlblERxPx4gsogxxSQgghGimlbHobdEbqxc9Wp/LYj9tsym+d1JMHp8ZKwEAIIYRoJbnCOwkl1yaTXJesK7uy/5VEekW2uG55QgLZL+izLRg8PYl6602MPj7t2k4hhBAnhqZZFHZllZKaV95h+5u7ch9P/LTdpvyOU3tx3xkSMBBCCCHaQoIGJ5k6Ux2/V/6uKwtyD+Lagde2uG5NWjrpd91tO/HhC8/j2rNnu7ZTCCHEiWN4N3+CvFx0ZR3V2+CjFfuY88sOm/K7JvfmHgkYCCGEEG0mQYOTzPd7vyfXlKsra02KRVNlJWm33059UZGuPOjWW/E+7bT2bqYQQogTiNGgOL2fbRaF9vbBvyk886ttwOCe02O4a3JMu+9PCCGEOBlI0OAkUlRVxAfbP9CV9Qvsx/Se05tdT9M0Mh97nOqdO3XlXqeeStCtt7R7O4UQQpx4ms5rsPFAEVnFVe22/XeX7eXZ33balN8/JZY7TpM0wEIIIcThkqDBSeST7Z9QUlOiK3twZMspFgs+/oSShQt1ZS49ehDxwvMy8aEQQohWGd0jEG83J13ZHzvap7fBW//s4bnfd9mUPzi1D7dO6tUu+xBCCCFOVnLFdxK5fuD1XNHnCowYAZjcZTLDQoc1u07ZypXkvPyyrszg5UXUm29i9PLqsLYKIYQ4sbg4GZjcN1RX1h6pF99YspsXFyfZlD9yVh9unijz7QghhBBHSoIGJxEvFy9uG3Qbd3jfwUDngdw+6PZm69ccPEj6PfeCydRYqBQRL76Aa4/uHdxaIYQQJ5qmWRQS9xVQWF5z2Nt79a9kXv4z2ab8sWl9uWGCBAyEEEKI9iBBg5NQoDGQmZ4zCfcMd1jHVFFB2q23YSou1pUH33E73pMmdXQThRBCnIBOiQnGzbnx1KPepPHXzuw2b0fTNP73ZzKv/rXbZtkTZ/fjuvE9jqidQgghhGgkQQNhQ9M0Mh59lOpk/d0b79MnE3jjjUepVUIIIY537i5GTokJ1pW1NfWipmm8/Ecyry+xDRg8Nb0/14yTnnBCCCFEe5KggbCR/+GHlP6+SFfm0qsn4f99TiY+FEIIcUSaZlH4d3ce5dV1rVpX0zReWJzEm//ssVn2zHkDuHJMdHs0UQghhBBW5ApQ6JQtX07u/17RlRm8veny5psYvTyPUquEEEKcKE7tE4qTQTU8r6kz8e+e/BbX0zSN537fxTtL99os+8/5A7k8vlu7tlMIIYQQZhI0EA1q9u8n/d77QNMaC5Ui8uWXcImOPmrtEkIIceLwdXdmTK8gXdmfO3ObXUfTNJ5duJP3/k3RlSsFz10wkEviurZ7O4UQQghhJkEDAUB9WTlpt92GqaREVx581114TZhwlFolhBDiRDS1SRaFZbvzqTXZr6tpGk//uoMPV+zTlSsFz184iFmjJGAghBBCdCQJGgg0TSPz4Yep3q0fI+o9ZQqBN1x/lFolhBDiRHV6v1BU4wgFKmrqSSpWNvU0TeOpX3bwycpUXblS8OJFg5kxoksHt1QIIYQQEjQQ5L/3HqV//qkrc42JIeI/z6KU7UmcEEIIcSSCvV0Z2S1AV7YlX/99YzJpPPHTduauStWVGxT8b8ZgLhoe1dHNFEIIIQQSNDjplS5dSu5rr+vKDL6+RL35BgZPmfhQCCFExzijf6ju+bZCRb1lSh2TSeOxn7bxecJ+XR2DgldmDuH8oRIwEEIIITqLBA1OYrX795Nx3/36iQ8NBiJffhmXrjJGVAghRMeZ0mReg/I6RUqJwqRpPPLDVr5KPKBbbjQoXps1lHOHRHZmM4UQQoiTngQNTlKGqipy7r4HU1mZrjzk3nvwGjf2KLVKCCHEyaJLgAcDIn10ZZvyFY//vIt5aw/qyo0GxeuzhnLO4IjObKIQQgghAKej3QBxFJhMhM3/htp9+pmofc46i4BrrjlKjRJCCHGymdo/jG3pjVl7VmQbIDtTV8fJoHjzkqFMHRDe2c0TQgghBJ3Y00Ap1U0p9bJSapdSqlwpVaCUWquUul8p5dGO+zlTKfWDUipNKVVt+fmDUurM9trH8S7g77/x2rFDV+bapw/h//eMTHwohBCi00wdENbscmej4q1Lh0nAQAghhDiKOqWngVLqHOALwLofogcwwvK4Tik1TdO0PfbWb+U+DMD7wLVNFkVaHucppT4EbtQ0zUE26BNfxdJlBP35l67MeGjiQ492i90IIYQQLeoV4k3PYE/25pbbLHM2Kt65dDiT+4XaWVMIIYQQnaXDexoopYYC8zEHDMqAR4ExwGnAB5ZqMcBCpZT3EezqWRoDBhuB2cAoy8+NlvLrgP87gn0c16pTUsh97DF9ocFA5Kuv4BIlM1ELIYTofPZ6G7gYDbx3uQQMhBBCiGNBZwxPeA1wB+qAMzRN+4+maas1Tftb07QbgAcs9WKAew9nB0qpGOA+y9N1wFhN0+ZpmrZW07R5wDhLOcD9Sqleh/tijmdF8+ejlevv5oTcfz+eo0cfpRYJIYQ42U0bqJ/c0MVo4L0rhnNqHwkYCCGEEMeCDg0aKKVGAeMtTz/SNG21nWovAzstv9+plHI+jF3dReNQi9s1Tau0XqhpWgVwu+WpE3D3YezjuBfy4IP43XRjw3PPs84k4Korj2KLhBBCnOz6Rfhw16k9cFIaAa4a714yiEmxIUe7WUIIIYSw6Og5Dc6z+v0TexU0TTMppT4D/gv4AZOAP1q7A2Weue9cy9NdmqYlONhPglIqCYgFzlVK3aZpmtba/ZwIlMGA3403sr2yEv/lK+j62GMy8aEQQoij7sbx0XSvTAZgdI+Ao9waIYQQQljr6OEJ4yw/y4H1zdRbZvX72DbuoztwqG/jsuYqWi2PBKLbuJ8TRnm/fqTdcD0Gd/ej3RQhhBBCCCGEEMewjg4a9LX83KNpWl0z9XbZWae1+jnYTnvv58QiPQyEEEIIIYQQQrSgw4YnKKXcgCDL07Tm6mqaVqiUKgc8gS5t3JX1tP/N7gc4aPV7m/ajlGopvUDD9M+VlZVUVlY2V/eoqaqqsvu7EI7IMSPaSo4Z0VZyzIi2kmNGtJUcM6KtjpdjpjOuOztyTgPr9Illrah/KGjg1YH7sU4d0Nb9HGy5itm///5LUFBQyxWPsn///fdoN0EcZ+SYEW0lx4xoKzlmRFvJMSPaSo4Z0VbH8jGTl5fX4fvoyOEJbla/17SifrXlZ1sH2rdlP9VWv8uAfiGEEEIIIYQQohkd2dPAug+HSyvqu1p+trV/RVv242r1e1v309JwhjBgLcCECROIimppNMPRUVVV1RApmzBhAm5ubi2sIU52csyItpJjRrSVHDOireSYEW0lx4xoq+PlmElLa2mE/pHryKBBqdXvrRkK4Gn52ZqhDIe7H0+r39u0H03Tmn03rFMXuru7434cZCZwc3M7Ltopjh1yzIi2kmNGtJUcM6Kt5JgRbSXHjGirY/mY6Yx2ddjwBE3TqoB8y9Nmb7srpfxpvKBv9dwBFtYX8y3d3rfuLdDW/QghhBBCCCGEECeVjk65uMPys5dSqrleDX2sft95mPtoup323o8QQgghhBBCCHFS6eigwQrLT09geDP1TrH6fWUb97EPyLCzHXsmWH6mA6lt3I8QQgghhBBCCHFS6eigwY9Wv19tr4JSygBcYXlaBPzTlh1omqYBP1me9lFKxTvYTzyNPQ1+sqwnhBBCCCGEEEIIBzo0aKBp2hpgueXptUqp0Xaq3Qv0tfz+mqZptdYLlVITlVKa5THXwa5eBeotv7+hlNLNBmF5/oblaZ2lvhBCCCGEEEIIIZrR0T0NAO7EnN7QCfhDKfWwUipeKTVJKfUe8IKlXjLw8uHsQNO0ZOBFy9MRwEql1Eyl1Ail1EzMQx5GWJa/qGna7sN9MUIIIYQQQgghxMmiI1MuAqBp2kbLhfsXgA/wHzvVkoFpmqaV2lnWWo8CIcA1wFBgnp06HwGPHcE+hBBCCCGEEEKIk0Zn9DRA07RfgEHAK5gDBBWY5y9YBzwIDNU0bc8R7sOkadq1wDTMcxxkADWWnz8BZ2madp2maaYj2Y8QQgghhBBCCHGy6PCeBodomrYfuMfyaMt6SwHVhvq/Ab+1qXFCCCGEEEIIIYSw0Sk9DYQQQgghhBBCCHH8kaCBEEIIIYQQQggh7JKggRBCCCGEEEIIIeySoIEQQgghhBBCCCHskqCBEEIIIYQQQggh7JKggRBCCCGEEEIIIeySoIEQQgghhBBCCCHscjraDTiBGA/9kpmZeTTb0azKykry8vIASEtLw93d/Si3SBzr5JgRbSXHjGgrOWZEW8kxI9pKjhnRVsfLMdPk2tPoqN6RUJqmdcR2TzpKqRHA2qPdDiGEEEIIIYQQJ6WRmqata++NyvAEIYQQQgghhBBC2CU9DdqJUsoVGGh5mgvUH8XmNCeMxh4RI4Gso9gWcXyQY0a0lRwzoq3kmBFtJceMaCs5ZkRbHS/HjBEItvy+VdO06vbegcxp0E4sb067dwVpb0op66dZmqalHa22iOODHDOireSYEW0lx4xoKzlmRFvJMSPa6jg7ZvZ35MZleIIQQgghhBBCCCHskqCBEEIIIYQQQggh7JKggRBCCCGEEEIIIeySoIEQQgghhBBCCCHskqCBEEIIIYQQQggh7JKggRBCCCGEEEIIIeySoIEQQgghhBBCCCHsUpqmHe02CCGEEEIIIYQQ4hgkPQ2EEEIIIYQQQghhlwQNhBBCCCGEEEIIYZcEDYQQQgghhBBCCGGXBA2EEEIIIYQQQghhlwQNhBBCCCGEEEIIYZcEDYQQQgghhBBCCGGXBA2EEEIIIYQQQghhlwQNhBBCCCGEEEIIYZcEDYQ4xiilrlJKaZZH9NFujxDixCSfNaK1mjtWlFJzLeWpR6d1Qhx/lFLRVv9TVx3t9pysrN6DOUe7Lcc6CRoIIYQQQgghhBDCLgkaiGOGRF2FEEIAKKXmHPo+ONptEUIIIU52EjQQQgghTkKaps3VNE1ZHqlHuz3i+KRp2lWWYyj6aLdFCCFEx5CggRBCCCGEEEIIIeySoIEQQgghhBBCCCHskqBBO1NKDVBKPaaUWqyUSlNKVSulypRSu5VSnyql4lu5nbFKqQ+VUklKqRKlVI1le78qpW5VSvk1s+45SqnvrPafr5RarZR6SCnl1cx6rRpDqpSaaDX3wEQHdYYrpT5SSiUrpcqVUlVKqYNKqfVKqbeUUtOVUsqqvgbss9rEJ1b7OKFmNlVK+SulnlNK7VJKVSqlcpRSfymlLm7Fui6W9/dNpdRapVShUqrW8h4nWt7DoBa2kWr5e861PI9VSn1gKa9WSmUrpX5ow7EarZR63vLe5lvak6eUWm5pT49m1vVVSj2slFqplMq1HOeZSqlflFIXWR8jdtb1VErNtPyfbFJKFVv2nauUWqaUuq+54/14pZSaZPksSVFKVVg+H7YqpV5USkU4WEf3v62UclNK3a+U2qCUKrU81iilblNKObWiDW6WukuUUlmW9+3QcXxtc9uwc/wNV+bZ1/dZjj+bzx+l1Dil1PeWfVVZXvu7SqleluVLLdtc2mS9BZbyQqWUWwuvycmyfU0p9VtLf4MTgWp+Rnzd31QpFamU+p9Sao/lcytfmb/nzmxhH0bLfhZbHSvFyvyduEQp9YhSql/TNgFPWpU1/S7QtddOW3sr82fkbsv/SEP95l5zk3bLHDutpBxkT1BKPWH1N+zdiu0sttTNVEoZHdQ5Tyn1rVLqgOWzoEgptU4p9aRSyr+1bVRK+SmlnlZKbVfmc5QipdS/SqlLW/maD/u760SilIpQ5vOZDarxOzhbmb+Tvrb8v/k0WUd3TqeUmqyU+tny9zv0+f6mUiqylW0YZvk+SFLm8+1yy+/vKKViOnEbA5RSb1he+6Fzsyxl/l58QCkV3optnG45hrKU+ftwn6UNUa1pw/FCKeWhzOcdmlLqy1bUH2113NxiVe6vlLpaKfWFUmqH5b2rsfz9FiulblBKubRTmw/rGGn6naOUMljatcpynJQrpbYopR5VSnm0oh0GpdRsZT4nOqDM38eVyny99aXl88e5PV6zDU3T5NFOD2AioLXi8d9mtuEOfNWKbcyxs64bsKCF9dKBIQ72PedQvTa8zol2lt8N1LfiNXhZrdOav5vNaz7eHkBfy3vg6DV+DFxl9Ty6yfpzW/F3ygPGNtOGVEu9ucD5QLmD7dQBM1t4PfcBNS20Z6mDdU+ztLW5dRdaHydN1l/air9FCtDnaL/v7XTsuAFft/B6y4Bz7Kw7x6pOKLCxmW38DBiaacdgq2PI0WMNENqK4+8moLbp+k3qPwiYHOynBDjD6lhY2mTds6zqzmrh7zvdqu5FR/v97qRj6iqr1xzdZFnD3xQYC+Q2837f52D7XsC/rfg//c5Bm5p7RDto67mW/wO79Zt7zU3aHm1V76qj/V4d7UcLx8pcS3lqk/JeVus82cL2QzF/52jAK3aW+wNLWjgmsoF4B9tvaCMQi/kmhaPtvNlCW4/ou+tEeQDjgeJW/K+e3WS9Q+VzMAcHHa1XBIxvZv8G4H84/n7QMH+/3NDB2zC2YhsaMLfJetFWy64C/tvMujlA36P9nrfz8fO55bWVAZ4t1H3T6r0IsipPbcXxtwEIa2bbDcdjRxwj6D87+wF/NbOdxOb+FpZjZmMrXvPEDnnPjvZBcyI9gMmWg38+cCNwCjAUmALc0+TgvtrBgfmHVZ1k4C5gHDAMmAY8C+y2d3Bb9nto3U3A5cAIzCfVH1sd8PlApJ315xxav4XXOdHRgQkMojFgkGJ53acCQzB/wVwHfGn5O1kHDQZY2nlou49ayqwfIUf7PT7C48MHOGD1GucBZwLDgdnAWkv5Gqs60U228QWwF3gJmAHEW97jC4F3gGoav2Ds/r2sjsP1QKXlfboViLNs70lLuYb5hCDYwXYet2pnoeXYnGw55icB9wIrgX/srDuWxmBDluX9PttynJ9N45eJBnzvYP8rgC3A/wHnAaMsr2EG5ovrQ8fhLsDtaL//R3jsKOBXq7/Jz8BlwBjLe3YHsN+yrBoY0WT9OVbrrrTUec3yfg2zHH87rOrc6KAdvTCfyB06Nv5j+dsPx/z/+yaNQYAEwLmZ42875ouEfVbH31jgIau6M6zalA88AIy2PB4ACiyPJEudpU32ZQAOWpYtbuFv/IOlXi7gcrTf8046rq7C8WfNUkt5kuVvko05gDMWGIk5OFxI4wlTfzvbf8lq+78AsyzH7DBgKvCw5Xj81modP8yf929brdv0u2CA9bFl1dYUoBTz59+Dln3FAbdhOdFs7jU3aXu0Vb2rjvZ7dbQfLRwrcy3lqXbWSzh0HLWw/Tustt/088sV8/eVZvnM+MxyLMVhPj96hMaL+AKgm53tH2pjDuZzqxLgGcznacMxn5sctGrDFAftPOLvrhPhYXlPDt0AKQGet/xPD8P8nTQbeANIw3HQ4NA5zy7gGsznMqcB79L4/V0MdHHQhrestrUMuNryfo60vJ/brJZP78BtfGRVJ8NyPE7EfC50BvAY5nPyuU3Wi7Zab6Xl51LL32645W/xqVWd1Uf7fW/nY2iq1Wu7pJl6Tpi/fzTg1ybLDmL+jHkM8zXSCMyf+5cCv1ttf2kz2z9UZ05HHCPoPztXWo7tuZhvagzDfA61yqqO3RvLmAOr1jcdlwBXYD73HYn5fOldzOdKEzvkPTvaB82J9ACCAL9mlrvQGBRIBYxNllt/aS4AXB1sx0CTi37LP8uhdf/CzkkvcL1Vnfl2ls85tLyF1znRajsTmyx72lJehoM7jZZ6vjS5m8kJfpIGvGj1+h62s9wZWGxVx97JWU9ANbOPgZhPmjXgGQd1Uq22vw7wsVPnUqs6d9tZPpTGL/UkIKqZNnWx8zr3Wdb9HfBwsJ718Xq6neW9W/h7T7Zq47VH+/0/wmPn0N+iBpjqoI4/jV9eK5osm2P1t6xp+n9rqROA+SRYAzY72MehE5sNWEX7m9SZavV3v76F428LDj4zMZ+UHmpPLtDLTp0YzF+QDk8MrD6T6h0dp0AIjRcCrx7t97sTj6urmvmsWWq1LBX7geZxNAajX7Oz/FCQ9NsW2hFgp6zhmG3F67BuazrQ9XBec5N60Vb1rjra79XRfrRwrMw9dJzYWe92q/VGNLN9h8EFzAFpDXOQariD9bthvmDTgC/tLJ9r1Y4i7Ae5etEYMP/JzvJ2+e46ER6YbwYdeo1nN1PPiSbnGFbraZiDQTY9MjDf9DpU5xs7y0+3Wm73+x1z77xDvVNSAacO2IZ1D7VVNH8N0PRcyPozRgPex875HfCBVZ2hR/u9b8djyGEwoEk96+DC7CbLWjoPvNpq3dMc1Dm0fE4HHWdXNXmfL7OzDVdgq2V5XtNtWOpY9yR/oJnX7AX4d8h7drQPmpPtgblr76E3fbhVufUdsYP2PkRb2O5vNF4Q2I3KWur9aalXC4Q3WTbnUNta2NdEq9cwscmy9y3lGw7jb2P9AXrV0X6v2vl9d8F8B0QDNtv7YrDUi0Lf3T/6MPb1imXdrQ6Wp1ptf5CDOorGiOYCO8sPDaExtfVLjMaTgUoc9GKwqpuIg5PAVu7rB8v6vxztY+AIjh0F7LG8jpdaqHum1Xvb26p8jlX5y82sf6h7pAnwbbJsvNU2BrbQjkO9nla2cPw11/V0plW9W5upZx1sXWpneTSNF7aPOtjGPS39T5yID1ofNLAZ8mJVb7Wjz3yrz7I7DqNtDcdsK+pat/Xyw33Ndo6bE/L7qAOOlbk4DhqE0MywA0udnlbbfqLJMi8aezfd1kIbb6bxPMjTQRs14PZmtnFoCFi+nWWd9t11rD+AS6z+njY3HlpYV7N62A0CWeodOq+tpUn3chov0r5rYV99rfZ1egds49Ad4nIgoo1/B+vPmAwc3yiMtarX5s/SY/kBvG71PxvooM6h3julOAjUtbCPjZb132jheJxjZ1l7HCPWn50Oex9h7qFu9zzEcgwcOo/54Wi9XzIRYgdSSrkqpboqpfpZJkgZgPkC4JDBVr8PwXzBCPCBpmllbdiPE+auMgB/aJp2sJnqH1h+OmG++G9vmZaf/ZRSozpg+8er4ZjvBAN8qlk+BZrSNC0Nc2+UVrFMAtNTKdXf6hgrsizu18JkKFs1TdvioB0a5g9aAN1EhkopA+aLUzBfpG2kbaZbfi7TNC23hbr/Wn6ObmmjSqlgZZ4AbYDV3+LQ9gc3t+4xrh/mk2qA71qo+6/V747+Zs1NOrTe8lMB3ZssO/S+JWmatrWV7RipHE+KeFDTtOXNbGOy5aeJ5tv8BeYvUrs0TUvF3PsKzF/e9lxt+bne0f/ESawI8/hsRw4dM/YmPD30fTCzNRM8tYMa4NtO2I9oJU3TcjDfrADzcWDvvPMSq9+/arLsFMw9E6H1n3/OmL9z7TbJzj6sHTqeA5TthNMd8t11nMq0+v1qh7Wat1XTtPXNLP/Y8lN3vmqZWPHQ82aPCU3TdmK+cwtW70U7bSMQ81AMMPfezWhuOy34TtO0agf7T8Lcexfsf84ezw59tztj7l6vo5Ryx9x9H+BHTdMqHG1ImYUppWKanAemW6q06TywPY4RO1pz/gW27/M0Gq8fX2muLR2pxVmyRdsopTwx3/maBfTHPEGKI9az3A+1+r25E2l7egCHTsgSW6hrvXxAG/fTGl9jHqfqCqxUSi3CfMK5Atju6GL5JDDQ6ve1LdRdg/kDwi6l1EDM44nPBMKa2Y4Bc6Aix8HyXS20o8Dy07tJeXfM446h7ccqmMecAUxRLWTqsGL3dSqlxmL+f5uMuXu9I81mlDjGjbD6fbVq/aTcjo6N5t73Aqvfm77vh9oR24b3zRnz+2LvGGzp4vzQ51OKpmlFjippmlaglEqhMbBiz4eYuxn2UkqNtw5WKKVGWO3rY3srn+R2a5pmama5o88JMI/HfRzzGNN9SqlvMd+5WdGKi67DsVvTtKoO2K44Ml9i7mIcjrlb+19Nlh8KGiRqmranyTLrz7/Mdvj8y9M0Lb+Z9Zp+BhbZacsRf3edAFZgnkOkB/CqMmed+AFzsGStpmk1rdhGa86FDhmIeR4oMJ8vHwo+fa2U+rqVbbZ+L9pjG0NovJA7nHMhay2djxVi7nVj73P2uKVpWqJSai/m7+9LMc/NZW065tcNDi64lVLTMPcymkDzf5+2nge2xzHS1OGefx26RqzFPJTrqJCeBu1ImdM3bcU8Odggmg8YgDlTwiHWB3Nm04otsL5YcnSBeEiWg/XahaZpuzBP4lKIOSh1NuYPga1AjlLqc6XU+Pbe73GgLe9RtqMFSqlrMY8nv5rWnYy4N7PMYcTW4tCFQtPj+EiOVTB3V20rm9ehzOmaVmCOTrd0LDf3dzjWHc7fCxoDiTrNReppfM/B9n1v13Zg/oxozqGeOa25uGypzo803gVoelfsGsvPKpq/A3myau3nhL3ziWcwB2I0zMfPrZjHZeYopbYppZ5SSoW2W0tbPqbE0fEjjceRLqWhUmoY0Mfy1N5FQXt/7rT2eIb2+Qw8nr97HNI0rRY4B9hpKRqJ+dx3BVCklFqklLpEOUidadGWcyHr7/j2OCbaYxtHei5k7XDPx04Eh/7vxyjbNLiHPi9yaBJstPQs+BDzJNHTaDmg0tb/xfb+7Pn/9s4/WI+qvOOfJ4ZgkEIbhzqInckoUBRtSQKRCUiw/hqQ2FTBMWnUNFLFCpRa6HQUnSuT0lpjS6elKA0SQUWjIqDoSKn8sP4oghMUoVAakBoDIwRoSMKP3D794znLnmx2933vvfveN/fy/czsvO/unnP27O6z58dznvMcaH/PbWVPIWtb+lTIDQRZGnTL5cQorAOXElrRu4gG7dPu7sk0bzSFH8Q6vkMfyXf3r5rZ9cSc5DcRc6EPIIR+BbDCzD4LrOoxgjVdGdc7MrPDCM+oM4kC9BPAd4g54ltTJY6ZrSK8+cJgZGyiFIXhtwgP+GPGzF5HuY77RsJL+78Tjte2ufvOFO48YqRzKpNXHkuI990PvRpk483H7cR33C+bGo6PNhzvHHd/2swuJyx0TjGzM9x9m5k9n1ByQswTfGyy8vRcIJVJ7zGzTxLP+feI0dpZhCXe4cAHzWyFu1/dwSUnTaZE/7j7E2Z2NSEDbzWz92cWIYWVwSjhC6VKXv7NJ0ba+uEX48psOxOuu6YT7n5nsnxckrbjCGeSs4m235uI7/vENE1ltyTGeelcJt5H+BXoh1yp2EUaohs+D3yUaK8uI3wrYWZzCBmCmP6xsxJvFfCe9H8DcAFhTb0J2O7uoymdywh/JGNtD0tGKkhp0BGpQ3ds2j3f3c9tCNo0Ivpw9v9Aepsq5eQmLb1GbfLR6S2Vc8924M1sRkuH/gW9MuTujxNOES9O6b2cWD/7DODFwLuJOfP/0CutaUJeiLyIWPKpiaZ3uJL4ZkeBxcmqo47OLUgqVGV1rDxCyMAsd79jnHn44/T7KLEud9NI86CfxWSQm9I+NoFn1lU+9p2kPBTfzAF9hO0nzFpCabAvcArhGG0p5VQbTU0YEO5+J6G8+0hS1BxLdBbfRbyPK8zsZe4+0dG6fsjrtTZry571nBgTnyc6BPsRFohfSYMo70jn/7WhY5mXf79Kfn+GRRd117QidcyuShtmdiAxFeUDhF+JBcCngT+oid6rvZqfz9uruUxsH+e76CKNibaFBODu95jZrYRCeTlJaQCcTCiYod4KqWgH3gsscvcdDZcYbzuwCxnpikLW5pjZrGFZG2h6Qnccnv2v05YXHNlw/MfZ/+PGeO2NlCYvr+4RNndOWP0Atmb/f4NmDu0zX8/i7ne5+98QTmO2pcNVpydDt5IYILnjuKN6hG06X8jY7S0KA2iWsa64j3Ke51hlFUoHi0ea2azWkM0Uz+KGHnOjB/0sJoPc0eQxQ8tF5hjTzCZjnu7Psus1lkdpNKKnc6jUcf1B2i2mKBRTE35OzLUXA8bdn3T36919FXBOOjyb6EjuEnRAWRhYPSda+TZlw7ewLlgMHJT+NzkI21PKP+im7prWuPtmd7+UcAZXtGtPSg7tqoylLZS3VzdQlg/jlYku0ii88sP42kKipPj+X2lmv5P+F1MT/tvd6/y1Fe3Aa5oUBhZOUOaPM08bmLiMdEXxLe3FEJ2rSmnQHbnVRtsIxWkNx28nlloEONXM9m0ItxvJZOemtPsGM3tJS/BT0+9OYpmqnPuy/22drXe0nGslrexQjLJXnZLkDqz2Hu819lBuoxw5fac1eHMys4OANzakUchYo3wlLf9bms53QbJAKbypLzazeW3ha7gm/e7P+L0u9/Ms5tFbiTYV+DGlqe1700jtMCjemwF/OgnXKzrxM9jVu3qVFfRvdrg2/b7GzF4LvC7tr3sOO2kdJrmiprE+MLMu64N+67llLefEGEntlPVp98S0MkHxXW8njVTXcD3loMiZTXXnJNFF3fWcIE1NKtqlMyktunJe1aP9UCh1R8naq2mgoHAGt9zM+rE0q+avizS2UJqsv93MXjzWNMSzfJFyetkfpn5M4f+sSaHYsx1IWDiPywqkCxnpkGspFRhnDSsTUhp0x39l/1fWBTCz9xMCvBupI/aJtPsS4LImTbaZzagpnC5Mv7OAS+qW2ktz3YsO6ZU1pqDfJ5QJAH9WVzmb2Tnsaq1QPb+0Zpmi/PxvUTo9uq9y+hFiySxo94Q+5UhL6Vyado+gHGF7lrQ03b9QmmNVKWTsEDNbVBN/H8KR22Q4XlpDmPka8MU2RVXNuc9SKsjWmFmrht7MjjWzxZXDxbM41swOrolzAOFjZMqTyobz0+5LibKhsRNlZvuZ2ekDyMd1lN6szzGz3ZZHquTjVWa2ZAKX/BqlX4YRM9utTDCzQyh9W/TDl4iRZiO+lRmUPmhEh5jZHDNb0qOTlytIq/VBXj91WR/cQWnqfHrdt5Rk+5QOrymCovG/N6EweFvav7ppmenkZ+Sf0u4i4O+tftlGAMzsRWZ2atP5CdJF3TUtMLPX1NW92flZlEuBP0Gzs9qLLVYdq8ZfDpyYdq+qaa+uTr/7EVNdfr0lL3ub2QdqFO5dpPHx9LsP8GUz258GegzoPadx9wcJH10QCtvllIMBTUqDoh24JFkc7kJqM1xYPT5GupCRCePu9xBtIoClqS/WlI8XtFlnTjQj2jrYCOH+KdEAdaJxehIxn+v3ibWjnXDWVoQZqaQxA7guO383MaJ3DLHcxgnAx4iR+pGaPKzP4t5GmPYsIJajW0t08pzonB/UcB9fyNL4OjE3bV66h6+k49/LwhxfiX8jMf1gPWFVsZjoJL+W6Cg/kMVdWnP94vk8TBQcLycc6xwMzBn2e56gjOxPNDiK+/9Cer7zCeuNW9LxH2Vh5mbxj8qOPwp8iDCJW0gsN3NPjYzNrcnH/encuh75XZfC3d9w/txKflYTI7dHEGvbnkUsv3RDTdyjiZFEJxRVnyPmry1I9/mWJOs/SWFOr8Q/Obv2JsJXxqK0nQ38Msn794tww37/E5QdI7zOF/d8b/qeiu/rOOC9SaaeIJYVy+OP9PMc0nur/bbT+ZcR5UcR5hqinFmY3t0JSS5/kM6vGa/8pbDLsms9nO756LT9RcrLo5ns7yZrNWlenKXpwPXDfr9DlKuVTWUFUZY7cGOPNGplC5ibjt8HfJKYjvbqJCcnEfOcR1OYXxC+MvL4B2d5+3aS8UMo64OZY81rFv78LO3vEfXbPKI8viTlK6/nVg77XQ176yEr62ipKyphN1LWGUV6b+4RZ29ixK8Iv4GYM38MZfvidMJa4Sng1po0+spj232m8xOqu6bLlr77wgLgHMJh3fz0Tv6IcEhXPMcLKnGL40Vb56703BcQzlL/OSsb/rfuPaR0LsjS2kwokIs2yDGE76y1hJLQqZQxHaaxNktjE7Hs+HEpjdcDf0lMZVhXiTeXPssYxlBvTtUtPeu8TenE8p1N4c/Owt9NWKYsTM9+hJhGu4PoD7W1ZYs0RgYhZ/QoU/qVB8LHx6YszL8RDh6PIqzmTiaUJI9Q037r5B0NW0im05YEaEv2QqvbTwgzmUYBJWkrW9Joi/t8du1Y1G2bgCNa7qFw0tcU/4r0sRT7x1fi39hH3keBcxuu/2ZK5UbPe55qGzEHa3PLs7m0rYAhPMy2Pds1vQooOlIapDAfIrxZt+Xpxoa4R7OrEqlte1dN/M+0hN9JKNxGimPDfvcdyM5eRGOq6fvIt42VuH09B3ooDVKYQ9lVQdq2fXS88peF/3DLPW8jRqNuTvvf6iO9hZU0lg/73Q5RphrLCrpTGvTafgksaEj7Sy3x5o41r1n4fSgVW3XbDURZXeyvHPa7GvbWQ1bW0aOuyMKurjzrX5EpgFri/Rrw1T5l6js18fvKY9t9ZmEmVHdNhy3/7ntsVwGzK3GLcyM90nmccPrclAcj2kS92iBOKNNnDyiN5wH/SO+6eV0l3tzs3Moez/v+ujSm05a+8e2VZ3ZWS/i9CIVy0/PeTun0uPHbz+VxEHJGR0qDFOal9Nf+On4Q70jTEzrE3TcQioNPEY61niGUCLcQGrGF3sM7tLtvd/dTCG3r5cQozQ7CbP9/iNH/9xEjN9W4T7r7WwlN95VEY+xpQmP3H4T287dTPpuu/xAxGvRxwvTnqXQPNwMr3H0Z7ctaLaMc8dwAPEh04J4gHJtdBMxz99V1kd39WkIpcXXKf7/LK00J3P1nRGP0bymf78NEI3W5u7fOk3T38wjFynXEe32aGKW7Eniju589uNzX5ud84BWEJvYOYlRgJ9EQvImwRnhnQ9wfEiOHpxHztQp5fZKQ9euIDuNh7n5ZTfxVKe3vEibnTxHf3eWEJ91ptTKHuz/j7n8C/C7RQPkp0agaTb8biFHSkwkLnUHl4x6inFtONOIfoCyjNhMduNVER/C8Dq73V4RFxVXEdIXiPX8GONLdv0mYDkI8h17p3ULpV+Ux4tsR3fNzQkEzQnzLdxPPeydR5t1MjFAe5u63NaSxgrAouYV4t50s0evu24k69sPEd7SDKLt+RIxYv57SYa/olqqp8XrffSm13XD3re7+NmKe81pCnrYS8rSFeHcXEkrEN3Sa493zMqG6a5qwhphechFhBfIAcf9PEh3c9cBJ7r7Um73a4+4jhIXPtcBDxHO8n1CQH+7uN7XE9VTHHEq0qW4lZGGUkI07CXl7N3BgXT46SmPU3c8gRnsvJuqXbUT79UFCHj5I9ANEA+6+lejjFIwSvg6awj9DtIfPJN7bdqIsv5foh8139y93kK8Jy0hXuPtGov21kvhmNhNytoOQu8sIy7nvDuL6ljQXQgghxJQj+W95nPDlsdrdP9Ij/H5EQ242cFFSxAghhJgEzKzoeHwsKQ2EEFMAWRoIIYSYyiyldP75w5ZwBcuy8JcMIkNCCCGEENMJKQ2EEELssfTw0D0X+Lu0+xAxv7EtrZmEmSiEs7Qms3ghhBBCCJGY2TuIEEIIMTT+08y+CXyD8IuyDfhNwmP6aZTrf59dNzc6LcU0B3gh8OfEvEQol7EUQgghhBAtSGkghBBiT+Z5wJK01fF/xGosn2s4fyaxRFLON9z9ax3lTwghhBBiWiOlgRBCiD2ZJcAJwCJiSdgXEisobCJWarjQ3e/oI52dhEf/K4C/HkhOhRBCCCGmIVo9QQghhBBCCCGEELXIEaIQQgghhBBCCCFqkdJACCGEEEIIIYQQtUhpIIQQQgghhBBCiFqkNBBCCCGEEEIIIUQtUhoIIYQQQgghhBCiFikNhBBCCCGEEEIIUYuUBkIIIYQQQgghhKhFSgMhhBBCCCGEEELUIqWBEEIIIYQQQgghapHSQAghhBBCCCGEELVIaSCEEEIIIYQQQohapDQQQgghhBBCCCFELVIaCCGEEEIIIYQQohYpDYQQQgghhBBCCFGLlAZCCCGEEEIIIYSoRUoDIYQQQgghhBBC1CKlgRBCCCGEEEIIIWqR0kAIIYQQQgghhBC1SGkghBBCCCGEEEKIWv4f9TseXDOuP2AAAAAASUVORK5CYII=\n"
},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"x_pos = [i for i, _ in enumerate(float_headers)]\n",
"for playlist, mean, std in zip(filtered_playlists, playlist_mean, playlist_std):\n",
" plt.plot(x_pos, mean)\n",
" \n",
"plt.legend(playlist_names)\n",
"plt.xticks(x_pos, [i[:6] for i in float_headers])\n",
"plt.title('Average Playlist Descriptor')\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"source": [
"# Imports & Setup"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from google.cloud import bigquery\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl\n",
"mpl.rcParams['figure.dpi'] = 200\n",
"\n",
"from analysis.net import get_spotnet, get_playlist, track_frame\n",
"from analysis.query import *\n",
"from analysis import descriptor_headers, float_headers\n",
"\n",
"import pandas as pd\n",
"\n",
"client = bigquery.Client()\n",
"spotnet = get_spotnet()\n",
"cache = 'query.csv'"
]
},
{
"source": [
"## Read Scrobble Frame"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"scrobbles = all_joined(limit=-1) # load dataset as panda frame"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"scrobbles = pd.read_csv(cache, sep='\\t', index_col=0)"
]
},
{
"source": [
"## Write Scrobble Frame"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"scrobbles.to_csv(cache, sep='\\t')"
]
}
]
}