diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 9b4d03d..cbb93ed 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,8 +1,10 @@ # Follow the below format to add your name: + ```markdown #### Name: + - GitHub: https://github.com// ``` @@ -10,54 +12,72 @@ ```markdown #### Name: Bhoomika Wavhal + - GitHub: https://github.com/wbhoomika/ ``` +```markdown +#### Name: Mansi Prajapati + +- GitHub: https://github.com/Mansiprajapatii +``` + ```markdown #### Name: Shubham Aggarwal + - GitHub: https://github.com/Shubham-Aggarwal-1306/ ``` ```markdown #### Name: DevVortex504 + - GitHub: https://github.com/DevVortex504 ``` ```markdown #### Name: Subha Sundar Chakraborty + - GitHub: https://github.com/csubhasundar ``` ```markdown #### Name: Shubham Atkal + - GitHub: https://github.com/shubhamatkal ``` ```markdown #### Name: + - GitHub: https://github.com/Zeeshan-szf/ ``` ```markdown #### Name: MrB141107 + - GitHub: https://github.com/MrB141107 ``` ```markdown #### Name: Naman Arora + - GitHub: https://github.com/nmnarora600/ ``` ```markdown #### Name: Gayathri Sankar + - GitHub: https://github.com/gayathri-commits// ``` ```markdown #### Name: Prithwish Raymahapatra + - GitHub: https://github.com/Prithsray/ ``` + ```markdown #### Name: Debaditya Banerji + - GitHub: https://github.com/devAdityaa/ ``` diff --git a/Python Projects/Kidney_disease_prediction/Kidney Disease Prediction Data_Science_project.ipynb b/Python Projects/Kidney_disease_prediction/Kidney Disease Prediction Data_Science_project.ipynb new file mode 100644 index 0000000..ce826dd --- /dev/null +++ b/Python Projects/Kidney_disease_prediction/Kidney Disease Prediction Data_Science_project.ipynb @@ -0,0 +1,2292 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step:1 Import Library " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.preprocessing import StandardScaler ##StandardScaler removes the mean and scales each feature/variable to unit variance. to\n", + " ## used to resize the distribution of values ​​so that the mean of the observed values ​​is 0 and the standard deviation is 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step:2 Read DataSet" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'C:\\\\Users\\\\91704\\\\OneDrive\\\\Desktop\\\\Kidney-disease-prediction-data-science\\\\Kidney.csv'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32me:\\Hacktober Repos\\pr6\\python4beginners-Hacktoberfest23\\Python Projects\\Kidney_disease_prediction\\Kidney Disease Prediction Data_Science_project.ipynb Cell 4\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> 1\u001b[0m df \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39;49mread_csv(\u001b[39m'\u001b[39;49m\u001b[39mC:\u001b[39;49m\u001b[39m\\\\\u001b[39;49;00m\u001b[39mUsers\u001b[39;49m\u001b[39m\\\\\u001b[39;49;00m\u001b[39m91704\u001b[39;49m\u001b[39m\\\\\u001b[39;49;00m\u001b[39mOneDrive\u001b[39;49m\u001b[39m\\\\\u001b[39;49;00m\u001b[39mDesktop\u001b[39;49m\u001b[39m\\\\\u001b[39;49;00m\u001b[39mKidney-disease-prediction-data-science\u001b[39;49m\u001b[39m\\\\\u001b[39;49;00m\u001b[39mKidney.csv\u001b[39;49m\u001b[39m'\u001b[39;49m)\n\u001b[0;32m 2\u001b[0m data \u001b[39m=\u001b[39m df\n\u001b[0;32m 3\u001b[0m data\u001b[39m.\u001b[39mhead()\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\util\\_decorators.py:211\u001b[0m, in \u001b[0;36mdeprecate_kwarg.._deprecate_kwarg..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 209\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 210\u001b[0m kwargs[new_arg_name] \u001b[39m=\u001b[39m new_arg_value\n\u001b[1;32m--> 211\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\util\\_decorators.py:317\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 311\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m num_allow_args:\n\u001b[0;32m 312\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\n\u001b[0;32m 313\u001b[0m msg\u001b[39m.\u001b[39mformat(arguments\u001b[39m=\u001b[39marguments),\n\u001b[0;32m 314\u001b[0m \u001b[39mFutureWarning\u001b[39;00m,\n\u001b[0;32m 315\u001b[0m stacklevel\u001b[39m=\u001b[39mfind_stack_level(inspect\u001b[39m.\u001b[39mcurrentframe()),\n\u001b[0;32m 316\u001b[0m )\n\u001b[1;32m--> 317\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:950\u001b[0m, in \u001b[0;36mread_csv\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[0;32m 935\u001b[0m kwds_defaults \u001b[39m=\u001b[39m _refine_defaults_read(\n\u001b[0;32m 936\u001b[0m dialect,\n\u001b[0;32m 937\u001b[0m delimiter,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 946\u001b[0m defaults\u001b[39m=\u001b[39m{\u001b[39m\"\u001b[39m\u001b[39mdelimiter\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m\"\u001b[39m\u001b[39m,\u001b[39m\u001b[39m\"\u001b[39m},\n\u001b[0;32m 947\u001b[0m )\n\u001b[0;32m 948\u001b[0m kwds\u001b[39m.\u001b[39mupdate(kwds_defaults)\n\u001b[1;32m--> 950\u001b[0m \u001b[39mreturn\u001b[39;00m _read(filepath_or_buffer, kwds)\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:605\u001b[0m, in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m 602\u001b[0m _validate_names(kwds\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mnames\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mNone\u001b[39;00m))\n\u001b[0;32m 604\u001b[0m \u001b[39m# Create the parser.\u001b[39;00m\n\u001b[1;32m--> 605\u001b[0m parser \u001b[39m=\u001b[39m TextFileReader(filepath_or_buffer, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwds)\n\u001b[0;32m 607\u001b[0m \u001b[39mif\u001b[39;00m chunksize \u001b[39mor\u001b[39;00m iterator:\n\u001b[0;32m 608\u001b[0m \u001b[39mreturn\u001b[39;00m parser\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:1442\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m 1439\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39moptions[\u001b[39m\"\u001b[39m\u001b[39mhas_index_names\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m kwds[\u001b[39m\"\u001b[39m\u001b[39mhas_index_names\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m 1441\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles: IOHandles \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m-> 1442\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_engine \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_make_engine(f, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mengine)\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:1729\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[1;34m(self, f, engine)\u001b[0m\n\u001b[0;32m 1727\u001b[0m is_text \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n\u001b[0;32m 1728\u001b[0m mode \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mrb\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m-> 1729\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles \u001b[39m=\u001b[39m get_handle(\n\u001b[0;32m 1730\u001b[0m f,\n\u001b[0;32m 1731\u001b[0m mode,\n\u001b[0;32m 1732\u001b[0m encoding\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mencoding\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[0;32m 1733\u001b[0m compression\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mcompression\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[0;32m 1734\u001b[0m memory_map\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mmemory_map\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mFalse\u001b[39;49;00m),\n\u001b[0;32m 1735\u001b[0m is_text\u001b[39m=\u001b[39;49mis_text,\n\u001b[0;32m 1736\u001b[0m errors\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mencoding_errors\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mstrict\u001b[39;49m\u001b[39m\"\u001b[39;49m),\n\u001b[0;32m 1737\u001b[0m storage_options\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49moptions\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mstorage_options\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[0;32m 1738\u001b[0m )\n\u001b[0;32m 1739\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 1740\u001b[0m f \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhandles\u001b[39m.\u001b[39mhandle\n", + "File \u001b[1;32mc:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\common.py:857\u001b[0m, in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m 852\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(handle, \u001b[39mstr\u001b[39m):\n\u001b[0;32m 853\u001b[0m \u001b[39m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[0;32m 854\u001b[0m \u001b[39m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[0;32m 855\u001b[0m \u001b[39mif\u001b[39;00m ioargs\u001b[39m.\u001b[39mencoding \u001b[39mand\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m ioargs\u001b[39m.\u001b[39mmode:\n\u001b[0;32m 856\u001b[0m \u001b[39m# Encoding\u001b[39;00m\n\u001b[1;32m--> 857\u001b[0m handle \u001b[39m=\u001b[39m \u001b[39mopen\u001b[39;49m(\n\u001b[0;32m 858\u001b[0m handle,\n\u001b[0;32m 859\u001b[0m ioargs\u001b[39m.\u001b[39;49mmode,\n\u001b[0;32m 860\u001b[0m encoding\u001b[39m=\u001b[39;49mioargs\u001b[39m.\u001b[39;49mencoding,\n\u001b[0;32m 861\u001b[0m errors\u001b[39m=\u001b[39;49merrors,\n\u001b[0;32m 862\u001b[0m newline\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[0;32m 863\u001b[0m )\n\u001b[0;32m 864\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 865\u001b[0m \u001b[39m# Binary mode\u001b[39;00m\n\u001b[0;32m 866\u001b[0m handle \u001b[39m=\u001b[39m \u001b[39mopen\u001b[39m(handle, ioargs\u001b[39m.\u001b[39mmode)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'C:\\\\Users\\\\91704\\\\OneDrive\\\\Desktop\\\\Kidney-disease-prediction-data-science\\\\Kidney.csv'" + ] + } + ], + "source": [ + "df = pd.read_csv('C:\\\\Users\\\\91704\\\\OneDrive\\\\Desktop\\\\Kidney-disease-prediction-data-science\\\\Kidney.csv')\n", + "data = df\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(400, 25)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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5 rows × 25 columns

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" + ], + "text/plain": [ + " age bp sg al su rbc pc pcc ba \\\n", + "0 48.0 80.0 1.020 1.0 0.0 NaN normal notpresent notpresent \n", + "1 7.0 50.0 1.020 4.0 0.0 NaN normal notpresent notpresent \n", + "2 62.0 80.0 1.010 2.0 3.0 normal normal notpresent notpresent \n", + "3 48.0 70.0 1.005 4.0 0.0 normal abnormal present notpresent \n", + "4 51.0 80.0 1.010 2.0 0.0 normal normal notpresent notpresent \n", + "\n", + " bgr ... pcv wbcc rbcc htn dm cad appet pe ane class \n", + "0 121.0 ... 44.0 7800.0 5.2 yes yes no good no no ckd \n", + "1 NaN ... 38.0 6000.0 NaN no no no good no no ckd \n", + "2 423.0 ... 31.0 7500.0 NaN no yes no poor no yes ckd \n", + "3 117.0 ... 32.0 6700.0 3.9 yes no no poor yes yes ckd \n", + "4 106.0 ... 35.0 7300.0 4.6 no no no good no no ckd \n", + "\n", + "[5 rows x 25 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 400 entries, 0 to 399\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 391 non-null float64\n", + " 1 bp 388 non-null float64\n", + " 2 sg 353 non-null float64\n", + " 3 al 354 non-null float64\n", + " 4 su 351 non-null float64\n", + " 5 rbc 248 non-null object \n", + " 6 pc 335 non-null object \n", + " 7 pcc 396 non-null object \n", + " 8 ba 396 non-null object \n", + " 9 bgr 356 non-null float64\n", + " 10 bu 381 non-null float64\n", + " 11 sc 383 non-null float64\n", + " 12 sod 313 non-null float64\n", + " 13 pot 312 non-null float64\n", + " 14 hemo 348 non-null float64\n", + " 15 pcv 329 non-null float64\n", + " 16 wbcc 294 non-null float64\n", + " 17 rbcc 269 non-null float64\n", + " 18 htn 398 non-null object \n", + " 19 dm 398 non-null object \n", + " 20 cad 398 non-null object \n", + " 21 appet 399 non-null object \n", + " 22 pe 399 non-null object \n", + " 23 ane 399 non-null object \n", + " 24 class 400 non-null object \n", + "dtypes: float64(14), object(11)\n", + "memory usage: 78.2+ KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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agebpsgalsubgrbuscsodpothemopcvwbccrbcc
count391.000000388.000000353.000000354.000000351.000000356.000000381.000000383.000000313.000000312.000000348.000000329.000000294.000000269.000000
mean51.48337676.4690721.0174081.0169490.450142148.03651757.4257223.072454137.5287544.62724412.52643738.8844988406.1224494.707435
std17.16971413.6836370.0057171.3526791.09919179.28171450.5030065.74112610.4087523.1939042.9125878.9901052944.4741901.025323
min2.00000050.0000001.0050000.0000000.00000022.0000001.5000000.4000004.5000002.5000003.1000009.0000002200.0000002.100000
25%42.00000070.0000001.0100000.0000000.00000099.00000027.0000000.900000135.0000003.80000010.30000032.0000006500.0000003.900000
50%55.00000080.0000001.0200000.0000000.000000121.00000042.0000001.300000138.0000004.40000012.65000040.0000008000.0000004.800000
75%64.50000080.0000001.0200002.0000000.000000163.00000066.0000002.800000142.0000004.90000015.00000045.0000009800.0000005.400000
max90.000000180.0000001.0250005.0000005.000000490.000000391.00000076.000000163.00000047.00000017.80000054.00000026400.0000008.000000
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" + ], + "text/plain": [ + " age bp sg al su bgr \\\n", + "count 391.000000 388.000000 353.000000 354.000000 351.000000 356.000000 \n", + "mean 51.483376 76.469072 1.017408 1.016949 0.450142 148.036517 \n", + "std 17.169714 13.683637 0.005717 1.352679 1.099191 79.281714 \n", + "min 2.000000 50.000000 1.005000 0.000000 0.000000 22.000000 \n", + "25% 42.000000 70.000000 1.010000 0.000000 0.000000 99.000000 \n", + "50% 55.000000 80.000000 1.020000 0.000000 0.000000 121.000000 \n", + "75% 64.500000 80.000000 1.020000 2.000000 0.000000 163.000000 \n", + "max 90.000000 180.000000 1.025000 5.000000 5.000000 490.000000 \n", + "\n", + " bu sc sod pot hemo pcv \\\n", + "count 381.000000 383.000000 313.000000 312.000000 348.000000 329.000000 \n", + "mean 57.425722 3.072454 137.528754 4.627244 12.526437 38.884498 \n", + "std 50.503006 5.741126 10.408752 3.193904 2.912587 8.990105 \n", + "min 1.500000 0.400000 4.500000 2.500000 3.100000 9.000000 \n", + "25% 27.000000 0.900000 135.000000 3.800000 10.300000 32.000000 \n", + "50% 42.000000 1.300000 138.000000 4.400000 12.650000 40.000000 \n", + "75% 66.000000 2.800000 142.000000 4.900000 15.000000 45.000000 \n", + "max 391.000000 76.000000 163.000000 47.000000 17.800000 54.000000 \n", + "\n", + " wbcc rbcc \n", + "count 294.000000 269.000000 \n", + "mean 8406.122449 4.707435 \n", + "std 2944.474190 1.025323 \n", + "min 2200.000000 2.100000 \n", + "25% 6500.000000 3.900000 \n", + "50% 8000.000000 4.800000 \n", + "75% 9800.000000 5.400000 \n", + "max 26400.000000 8.000000 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "age 9\n", + "bp 12\n", + "sg 47\n", + "al 46\n", + "su 49\n", + "rbc 152\n", + "pc 65\n", + "pcc 4\n", + "ba 4\n", + "bgr 44\n", + "bu 19\n", + "sc 17\n", + "sod 87\n", + "pot 88\n", + "hemo 52\n", + "pcv 71\n", + "wbcc 106\n", + "rbcc 131\n", + "htn 2\n", + "dm 2\n", + "cad 2\n", + "appet 1\n", + "pe 1\n", + "ane 1\n", + "class 0\n", + "dtype: int64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlation matrix & Matrix Visualisation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\91704\\AppData\\Local\\Temp\\ipykernel_15796\\1134722465.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n", + " df.corr()\n" + ] + }, + { + "data": { + "text/html": [ + "
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agebpsgalsubgrbuscsodpothemopcvwbccrbcc
age1.0000000.159480-0.1910960.1220910.2208660.2449920.1969850.132531-0.1000460.058377-0.192928-0.2421190.118339-0.268896
bp0.1594801.000000-0.2188360.1606890.2225760.1601930.1885170.146222-0.1164220.075151-0.306540-0.3263190.029753-0.261936
sg-0.191096-0.2188361.000000-0.469760-0.296234-0.374710-0.314295-0.3614730.412190-0.0727870.6025820.603560-0.2362150.579476
al0.1220910.160689-0.4697601.0000000.2693050.3794640.4535280.399198-0.4598960.129038-0.634632-0.6118910.231989-0.566437
su0.2208660.222576-0.2962340.2693051.0000000.7178270.1685830.223244-0.1317760.219450-0.224775-0.2391890.184893-0.237448
bgr0.2449920.160193-0.3747100.3794640.7178271.0000000.1433220.114875-0.2678480.066966-0.306189-0.3013850.150015-0.281541
bu0.1969850.188517-0.3142950.4535280.1685830.1433221.0000000.586368-0.3230540.357049-0.610360-0.6076210.050462-0.579087
sc0.1325310.146222-0.3614730.3991980.2232440.1148750.5863681.000000-0.6901580.326107-0.401670-0.404193-0.006390-0.400852
sod-0.100046-0.1164220.412190-0.459896-0.131776-0.267848-0.323054-0.6901581.0000000.0978870.3651830.3769140.0072770.344873
pot0.0583770.075151-0.0727870.1290380.2194500.0669660.3570490.3261070.0978871.000000-0.133746-0.163182-0.105576-0.158309
hemo-0.192928-0.3065400.602582-0.634632-0.224775-0.306189-0.610360-0.4016700.365183-0.1337461.0000000.895382-0.1694130.798880
pcv-0.242119-0.3263190.603560-0.611891-0.239189-0.301385-0.607621-0.4041930.376914-0.1631820.8953821.000000-0.1970220.791625
wbcc0.1183390.029753-0.2362150.2319890.1848930.1500150.050462-0.0063900.007277-0.105576-0.169413-0.1970221.000000-0.158163
rbcc-0.268896-0.2619360.579476-0.566437-0.237448-0.281541-0.579087-0.4008520.344873-0.1583090.7988800.791625-0.1581631.000000
\n", + "
" + ], + "text/plain": [ + " age bp sg al su bgr bu \\\n", + "age 1.000000 0.159480 -0.191096 0.122091 0.220866 0.244992 0.196985 \n", + "bp 0.159480 1.000000 -0.218836 0.160689 0.222576 0.160193 0.188517 \n", + "sg -0.191096 -0.218836 1.000000 -0.469760 -0.296234 -0.374710 -0.314295 \n", + "al 0.122091 0.160689 -0.469760 1.000000 0.269305 0.379464 0.453528 \n", + "su 0.220866 0.222576 -0.296234 0.269305 1.000000 0.717827 0.168583 \n", + "bgr 0.244992 0.160193 -0.374710 0.379464 0.717827 1.000000 0.143322 \n", + "bu 0.196985 0.188517 -0.314295 0.453528 0.168583 0.143322 1.000000 \n", + "sc 0.132531 0.146222 -0.361473 0.399198 0.223244 0.114875 0.586368 \n", + "sod -0.100046 -0.116422 0.412190 -0.459896 -0.131776 -0.267848 -0.323054 \n", + "pot 0.058377 0.075151 -0.072787 0.129038 0.219450 0.066966 0.357049 \n", + "hemo -0.192928 -0.306540 0.602582 -0.634632 -0.224775 -0.306189 -0.610360 \n", + "pcv -0.242119 -0.326319 0.603560 -0.611891 -0.239189 -0.301385 -0.607621 \n", + "wbcc 0.118339 0.029753 -0.236215 0.231989 0.184893 0.150015 0.050462 \n", + "rbcc -0.268896 -0.261936 0.579476 -0.566437 -0.237448 -0.281541 -0.579087 \n", + "\n", + " sc sod pot hemo pcv wbcc rbcc \n", + "age 0.132531 -0.100046 0.058377 -0.192928 -0.242119 0.118339 -0.268896 \n", + "bp 0.146222 -0.116422 0.075151 -0.306540 -0.326319 0.029753 -0.261936 \n", + "sg -0.361473 0.412190 -0.072787 0.602582 0.603560 -0.236215 0.579476 \n", + "al 0.399198 -0.459896 0.129038 -0.634632 -0.611891 0.231989 -0.566437 \n", + "su 0.223244 -0.131776 0.219450 -0.224775 -0.239189 0.184893 -0.237448 \n", + "bgr 0.114875 -0.267848 0.066966 -0.306189 -0.301385 0.150015 -0.281541 \n", + "bu 0.586368 -0.323054 0.357049 -0.610360 -0.607621 0.050462 -0.579087 \n", + "sc 1.000000 -0.690158 0.326107 -0.401670 -0.404193 -0.006390 -0.400852 \n", + "sod -0.690158 1.000000 0.097887 0.365183 0.376914 0.007277 0.344873 \n", + "pot 0.326107 0.097887 1.000000 -0.133746 -0.163182 -0.105576 -0.158309 \n", + "hemo -0.401670 0.365183 -0.133746 1.000000 0.895382 -0.169413 0.798880 \n", + "pcv -0.404193 0.376914 -0.163182 0.895382 1.000000 -0.197022 0.791625 \n", + "wbcc -0.006390 0.007277 -0.105576 -0.169413 -0.197022 1.000000 -0.158163 \n", + "rbcc -0.400852 0.344873 -0.158309 0.798880 0.791625 -0.158163 1.000000 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.corr()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "ckd 250\n", + "notckd 150\n", + "Name: class, dtype: int64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Let's find out how many of each class are\n", + "df['class'].value_counts()\n", + "# from below output we ca draw our inference that this is close to \"imbalanced dataset\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Percentage of Patients Haven't Heart Disease: 0.00%\n", + "Percentage of Patients Have Heart Disease: 0.00%\n" + ] + } + ], + "source": [ + "#Representation of Target variable in Percentage\n", + "\n", + "countNoDisease = len(df[df['class'] == 0])\n", + "countHaveDisease = len(df[df['class'] == 1])\n", + "print(\"Percentage of Patients Haven't Heart Disease: {:.2f}%\".format((countNoDisease / (len(df['class']))*100)))\n", + "print(\"Percentage of Patients Have Heart Disease: {:.2f}%\".format((countHaveDisease / (len(df['class']))*100)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Understanding the balancing of the data visually\n", + "\n", + "df['class'].value_counts().plot(kind='bar',color=['salmon','lightblue'],title=\"Count of Diagnosis of kidney disease\");\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Check the distribution of the age column with a histogram\n", + "df['age'].plot(kind='hist');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Inference: Here any features which ae not touching the 400 mark at the top are having null values.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\91704\\AppData\\Local\\Temp\\ipykernel_15796\\3323841862.py:1: UserWarning: \n", + "\n", + "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n", + "\n", + "Please adapt your code to use either `displot` (a figure-level function with\n", + "similar flexibility) or `histplot` (an axes-level function for histograms).\n", + "\n", + "For a guide to updating your code to use the new functions, please see\n", + "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n", + "\n", + " plt.subplot(121), sns.distplot(data['bp'])\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplot(121), sns.distplot(data['bp'])\n", + "plt.subplot(122), data['bp'].plot.box(figsize=(16,5))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data['class'] = data['class'].map({'ckd':1,'notckd':0})\n", + "data['htn'] = data['htn'].map({'yes':1,'no':0})\n", + "data['dm'] = data['dm'].map({'yes':1,'no':0})\n", + "data['cad'] = data['cad'].map({'yes':1,'no':0})\n", + "data['appet'] = data['appet'].map({'good':1,'poor':0})\n", + "data['ane'] = data['ane'].map({'yes':1,'no':0})\n", + "data['pe'] = data['pe'].map({'yes':1,'no':0})\n", + "data['ba'] = data['ba'].map({'present':1,'notpresent':0})\n", + "data['pcc'] = data['pcc'].map({'present':1,'notpresent':0})\n", + "data['pc'] = data['pc'].map({'abnormal':1,'normal':0})\n", + "data['rbc'] = data['rbc'].map({'abnormal':1,'normal':0})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1 250\n", + "0 150\n", + "Name: class, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['class'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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dDAd7e4yfOElum5GamgpzMzP06NZVbvk2NjJCj25dsWzJYvgtWYTSHh6YMn0GXv7Hy9idCNqAs4e3oW3viRg5cyvU1DSwYkZfpKfJb9NTU5NhaeeCNj3HF2hsF86dwj9rV6BNh26Yv3Qt7OwdMW3iKLntQ+iDe1iYXbYXLF2HshUqY87fE/AqV9n28imL9f57JZ8Ro6X7JjOmjENmZiamzlyEeUvWwM7eCTOnjkNMdJRi8/cb9KeuHFuLG6f9Ua/DFHQZI87DTr+eyPhGHl4/vgrvah3RecwutB36D7IyM7BzaU+Z8V07uQlAwc70+h36hJ9dO7EWIWf9UavtFHQYuQsqahrYt+Lb5+PN06vwrNIR7UfuQquB4vOxd3lPpGefD219c/SdcUHqU6HhYKioacKuRNUCzc+RGw8xP+AU+jaojB2ju8PV0gT9V+xEVELSN/d7FxWLhYGn4e1YsF9KyHL02j0s2HMUff+oju3j+8LFyhQDlm5BdHyizPQ6Whro1bAqNo/phd2T+qNpRS9M3hSIS/efStKcmDtS6jOlS1MIBEBtb/mDjfkl7ofsRM/WTbBx7mQ421lj+N+Lvt8PmTIKa2b+BVMjAwybvlCqH2JtYYqRvTpiy8JpWPX3WJibGGHo3wsRE5dQYPkAgHMH1+HSsS1o1n0KBkzZCVU1TWyY2/ub7VxaajLMbVzRtOtEuWmiwl5j1d8dYWxujz5/bcLQmYGo2aw/lFXy96T9ubNnsG7tarTv0AlL/FbA3sEBkyb+9c17o7lzZqJO3fpY6rcS5StUxIzpU/Ay+95IJBLh7+lT8PHDB0yYNBVL/FbAxMQEE/4ag5SUZMlxFi6Yi7fv3mLipKlYvmINKlSshDmzZ+DZs6cy/+73XDx3ChvXLkebDl0xb+la2No7Yvo3++f3sGjudNSq2xDzl65FWTn9cy+fsljnv0/yGZ6rDXf38MLIsVOwdI0/Rv01HWEf3mP+TNlt5s86cfEKlm7cgR5tmuKfeVPgZGuN4dMXyC0Xt+6Honbl8vD74v572LT5kvtvALCxMMXIXp3gv3A6Vv79F8xNDDFs+gK59/REpFh5GiR3d3fH48ePUblyZTRt2hRJSUlo0aIFbt26BUfH/69vuCKOnsPjyYsRFnSisEP5yp7AYDSsVxv1a9eEnY01hg3oCzU1NRw5Lnumu5uLE/r26IqaVSvLnZm4Y08AjI2MMHrYILi5OMPczBRlvD1hYW5WIHkQiUT49/hmVG3cD27etWBm7YoWvecgISYcoTfl/587e1RFrZbDUNxH9ozFqLCXePvsNhp1mQxLh1IwMndAoy5TkJGWgrv/HlR4PgICAtCgfn3UrVsXtjY2GDxoENTU1HDs2DGZ6V1dXNCrZ09Ur1ZN7rn4e/p01KlTB7a2tnBwcMCIESMQHhGBJ0+eKDx+ANgZfBSNa1fDHzWrwN7aEqP6doWamioOnDwnM/2UYf3Qon4tuNjbwtbKAmP790CWSITrdx8AAIppaWLJ5FGoVaksbC3N4e7ihBG9OuHRs5f4GKHYgYEvBQXsQd36DVG7bn3Y2Nih/6BhUFNTw4ljsl8KHBy0D94+vmjRqi2sbWzRsUt3ODg642BwoCRN6MP7qFmrLkp5eMLU1Az1GjSCvYMjnjwKLbB87A3cj4b16qB+nVqwtbHGsIH9vlO+ndG3RzfUqFYFKiryH/JRUlKCgb6+5KOrq1NQWfhl66jggF2oXb8RatZpCGsbO/QZNBJq6uo4dUx23XFo/x54+pRF05btYWVjh/ade8He0QWHD+yTShcVGYH1q5Zg6KiJUFKSPkdeZcph4PBx8PQuC1NzC/iWr4wmLdrhyiXZ5e9nbT9wHE1qVUGjGpVhb22B0X06QU1VFQdOXZCZfurQ3mhZrwZc7G1gZ2mOcf26icv3vYdS6cKjYrBww3ZMGdoLyspKCon1Z+wKOoRGdWugYa3qsLO2wsj+PaGupoaDJ8/KTD9pxCA0b1gHzg52sLWyxOiBfZAlEuHGnXv/adz7AgJRv3491KtTG7Y2NhgyaADU1NVw9NhxmeldXVzQu2cPVK9WVW7ZKF+uLMr6loGlpQWsLC3RvWsXqKurIzT0UUFmRYpIJMKZQ1tQr0UfePjWhKWtKzoPmom4mAjcuXZK7n4lvaqgUbshBTZ7/LPggN2oU/8P1KrTANY2dug7aER22T4kM/2B/Xvh5VMWzVq2g5WNLTp07gl7R2ccPhAglU5FRQX6BoaSTzFtbcnv4uNi8eH9W7Ro3QF29o6wsLRC5259kJqagtevXuT+k3n2O/SnRCIRrp3cjIoN+sPFszZMrNzQqPtcJMaG43GI/Dy0HbIeHhVbwNjCGaZWbvij62zER7/Hx9f3pdKFvXmIayc2oGGXgvtyGPg9+oSA+HzcOrMZ5er1h5NHbRhbuqF+57lIjAvH0zvyz0fLAetRsnwLGJk7w9jKDfU6zUZCzHuEvRGfD6FQCVo6xlKfp3dOwMWrAVTVtAosPwDgf/oqWlQojWblPeBoboQJbetDXVUFgZfvyN0nMysLf20KRv+GlWFlqFeg8cnif+IyWlT2RrNKXnC0MMGEjo3EMV+6JTO9r6s9anoVh4O5MayNDdCxVnk4W5ri1tPXkjRGutpSnzO3Q+HrYg8rY4MCy8f24GNoUrsqGtX83A/pLL7PkNcPGdYHLevX/LofcjenH1KvSnmU9SgBS1NjOFhbYmjXtkj6lIynr94UWD5EIhEuHtmMGk36oYRPLZjbuKJN39lIiA3Hgxvyy4Vr6aqo23oYSpaR/7Tdsd2L4Vq6Khq0HwULuxIwNLVBCe+aKKZrmK+YAwP2ol79BqhTtx5sbGwxcNBQqKmp4fixozLT7w8KhI+PL1q2agNrGxt07tINjo5OOBC8HwDw/t07PAp9iAGDhsDFxRVWVtYYMHAI0tJScfbMGclxHj58gMaNm8LV1Q1m5uZo174jtLS08DSP9Vbu/nnf7P75STlt+MH9e7Lb8M/9857Z/XPpNlxZRVVuGw4AjZu3gYtbSZiYmMGthDuat+6Ix48eICMjI0/5+NIOSbkQ33+P7tsl+/77vMz0U4b1zSkXVuYY17+71P03ANStUgG+pUvC0swEDjaWGNKtPZI+JePZq7f5jpeIvi9Pg+QAoKuri/Hjx2PXrl04dOgQ/v77b5ibmysytt9aeno6Hj99Bu/SHpJtQqEQ3p4eePDocZ6Pe+nqdbg6OWLq7Plo2ak7+g79EwePyr5pV4SYiLdIjIuAQ8mKkm3qmtqwdPTAm6cheT5uZnoaAEh98y4UCqGkrIrXT27k+biypKen48nTp/D09JT6W56enngYqrhB1E9J4lku2rkabkVIT8/Ao2cv4euRs5yEUChEGY+SuPf42Q8dIyUtFRmZmdApJv8GJzEpGQKBANpaX7+TQBHS09Px7OljlPb0lmwTCoUo7emNR6EPZO7zKPQBSnv5SG3z8ikjld6teElcvXIZUZEREIlEuHP7Ft69ewsv74JZxkBSvj1zHo2VlO98Dni9e/8Bbbv0QKee/TBz3iKEhUfkN1yZftU6Kj09Hc+fPoaHZ865FQqFKOXpg0eh92Xu8zj0Pjw8pa8hT++yePxF+qysLPgt+BtNW7aDta39D8XyKSkRxbTz/yVGenoGHj1/9VX59vUojnuPv57tLktKWhoyMqTLd1ZWFqb5rUfHJvXgYG35jb0LRnp6Bh4/e4EyHu6SbUKhED6l3XH/0Y/dgKWmpSIjMwM6Bfi0VG6f24zc5dvL0zPf5fuzzMxMnDl7DqkpKSheXP7j1IoWFf4W8bGRcPXIeZRZQ1Mbdk6l8OLx7f8sDlnE7cMjqbIqFArh4ekjt32QVba9vMt+lf7e3RB069AMg/p0xurlC5EQn/Mkg7aOLiytrHHm1FGkpCQjMzMDRw/vh66ePhydZC+/kRe/Q38qLvItkuIjYFf8izxoaMPCvjTePZc9IChLarJ4FqmGpq5kW3paMvavH4k67SahmK6x4oLO5XfoE34WFyU+HzauOedDTUMbZnal8eHFT5yPFPH5UP/ifHwp7PU9RLx9iFIVWuUv4O9Iz8jEwzcfUd7VTrJNKBSgvKsd7rx8J3e/1YcvQl9bEy0qlJabpqCkZ2Tg4ev3KFc8ZykFoVCIcm4OuPP8+wNeIpEIVx4+x8uwKHg7y17yKio+ERfuPkGzyopd/ulLOf2QnJnqQqEQvqVK4N4jxdxnpKdnIPD4WRTT1ICznbVC4pYlJuItEuIi4eSes6SeuqY2rB088Ppp3tu5rKwshN4+CyMzO2yY2wt/D6iE5ZPb4v71/E3US09Px9OnT+DpmXN+xXWSF0JDH8rcJzT0ATy9pK8Hb58ykvTp6ekAAFVVValjqqio4MGDnEkHxYuXwPlzZ5GQEI+srCycPXsaaWlpKOXhgZ/1+R5PVhv++Kf6575f9efv3w1B9w5NMbhPJ6xevkCqDc8tISEe584ch2txdygr52nlYYnP999lPEpKton75yVw7/GPzbb/kXIRdPwMimlqwKkAywUR5chTzXDnjuxv6wUCAdTV1WFjY8MXeH5HXHwCsrKyoJ/r8XZ9PV28eSu/o/c9Hz6GYf/ho2jVrDE6tG6BR0+eYtmaDVBWVka9WopfLz4xTjxAV0xH+hvyYjpGSIyLzPNxjcwdoGtogRN7FqJx16lQUdPA5aObEB/zEQmxih0UjI+Pzz4X0o/I6uvp4e0bxcxkyMrKwurVq1GiRAnY2dkp5Jhfik1IQGZWFgz0pG9gDHR18Prdhx86xkr/3TDS10MZD9nrNqempWHlll2oXbkctDQ18h2zLPHxccjKyoJernOhp6cv91zExkRDT+/r9DExOcsv9Ok/CMuXLkSPLu2gpKQEgUCIgUNHoGSpn+/k/QhJ+c51PvT19PJVvou7OmPU8MGwtrREVHQM/LfvxPAx47Fu+RJoKvic/Kp1VEJ8HLKyMqH71TVhgHdvXsvcR3wNSc++0tXTR+wX11Dgnm0QKimhYZMfGwT48P4tDgfvQ+eeA34yBzLiS0gUl+9cTw0Y6Org1buPP3SMFVv2wNhAD76lcsq3f9ARKCkJ0aZhwc7+lScuu97KXU4MdHXx+u37HzrGqk3bYaSvD5/S7t9PrCCf24zc9Y6+nh7evMnfLJ8XL19i2MhRSEtLg4aGBiZNGA9bG5t8HfNnxMeKnxLSzjXrTVvXEPGxeW/TFSHhc/uQq6zq6ennq2x7+ZRFuYpVYWpmjo8f3mHrpnWYPnkMZs1fnt1eCDB5xgLMmT4BHVs1hEAggK6ePiZOm/vVbLX8+B36U4nx4uNp5cqDlrYhkuJ/LA+irCyc2D0TVo7eMLbMWeP/5O5ZsHT0KrA1yD/7HfqEn33KPh+a2vk7H2f2zoSFgzeMLGS/c+He5T0wMHOEhYO3zN8rSkzSJ2RmiWCoIz2YZKithRdhsp9wvPnsDQL+vYNdY7oXaGzyxCRmx6wt/UWuoY4WXn6Ufw4SklNQd8wCpKdnQigU4K8Of6BCCdlPa++/HAJNdVXU8iq4pVYk9xm5+yF6Onj1g/cZK7bsgbG+ntQX/gBw4fptTFq8GimpaTDU18WSSSOhp1NwXx4lZLdluWd3F9M1QkJc3uvEpPgopKV8wtngdajbagjqtx2Jx3cuYOvSIeg1biMcipf9/kFkkPQ5fuLeKCYmRsa9kZ6k7bOytoaxsQk2/bMBgwYPhZq6OoIC9yEyMhLR0Tnt45hxEzBn9gy0b9sKSkpKUFNTw/iJk2Fh8fMTKz73z3PHpfudNvzr/vzXbXj5ilVhYmaGjx/eY9umtfh78mjMnL8CSko5T0j6b1iFwwcCkJqaAhe3Evhr8uyfzsNX8Unuv3P3z3V/vH8uuf8uKbX94vUQTFq0SlIuFk/+s0DLBRHlyNMguaenJwQC8XqAIpEIACQ/A+LHVtu2bYvVq1dDXV39q/1TU1ORmiq95le6KAsqgjxPbKdsIpEILk6O6NWlIwDA2dEBL1+9QfDhYwoZgLpzORjBmyZLfu44bFW+jymLkrIK2g1aiqANEzB7UDkIhUpwKFEBzqWqQgRRgfzNgrR8xQq8fPUK8+fPL+xQZPLfdwAnLl7BsqljofbFrILPMjIyMHHBCohEwKg+XQshwvw5sD8Qj0IfYvzk6TAxMcX9e3exesVSGBgYwjPXLPT/Z2XL5MTqYG+H4q4u6NCjD85euIgGdQt24EBRCrqOKgjPnjzCoaA9mLt0nVRbJ09UZARmTBqFCpWro079gn057I/YHHAIxy9exYqpo6CmKl4KIPTZS+w6eAIb5076oTz9P9qydz9OXriMpX9PlFlv/YqsLC2xwm8JPiV9wvmLFzF/4SLMmzOrwAbKr50/gB1rpkl+7jdueYH8nf9nlavlfElka+cAWztHDOjVAffvhsDD0wcikQhrVyyBrp4+/p67FKqqajhx9CBmTh2HuYtXw8Agb4/R/w79qftX9uPItpw8tB64Or/h4tiOqYh49wSdRm2TbHty+yRehf6L7uMDvrHnr6Og+oQPr+3HiR0556NZv/yfj5O7pyLqwxO0HbZN5u/T01IQeuMAytXL/xfCipaUkorxmw9gcrv60C9WME9AFhQtNVXsnNAPn1LTcDX0BebvPgpLI334un79JFvQxVtoWNYDagp6SXhBkPRDpoyW9EM+83F3w6Z5kxGXkIigE+cwYeEqrJs1/qsB+by6dTEYgf9MkfzcdeRKhRw3t89jIiV8aqJyg24AAAvb4nj95BaunNqZ50HygqCsrIzxEyZhyZKFaNe2pXhmupc3fMr4AqKcdmGL/yYkJSbi75lzoKOjg38vX8KcWTMwZ+5C2Nn/2FOVBU26DXeErZ0jBvZqL2nDP2vash1q1fsDEeEfsWvbJixdMBN/TZldqH3gzfsO4sTFq1g+dcxX5cLbvTg2zZ+K2IRE7D9+FhMXrMTa2RMVVi5INoHKr3lPRIqVp0HygIAAjBkzBqNGjULZsuIK/+rVq1iwYAEmT56MjIwMjB07FhMmTJDZAZw1axamTpV+kWZ7gQE6KinmDcO/Al0dbQiFQsTExEptj4mNk/vCux9hoK8HW2vpl9LYWFvi3KV/83zML7l61oClQ87s28wM8WO8ifFR0NYzkWxPjI+EmXX+ZjRY2Lmj/7RApHxKQGZGOrR0DLBmehtY2Cl2xqCOjk72uZB+aUhMbCz0DfK/tt+KFStw9epVzJs7F8ZGBXON62lrQ0koRHSul91Fx8V/Nbs8t21Bh7El4CAWTx4t8zGuzwPkYRFRWDp1TIHNIgcAHR1dCIVCxOY6F7GxMXLPhZ6+wVcvromNjYG+vjh9amoqtmxaj3ETpqJMWfESAnb2jnj+7CkC9+0ukEFySfnOdT5iYmO/mpmdH8WKacHK0gLv3v/YLJ6f8avWUdo6uhAKlb56CVBsbDT09L91DUm/+DEuNkaS/uH924iLi0G/bq0lv8/KysTm9StwMGgPVv6zS7I9OioSU8YNhUtxd/QdPEohedLTLiYu37le2BMdFw/D75TvrfuPwj/wMJZOGgkn25zyHRL6BDHxCWjef7RkW2ZWFvw27cLOgycQsKLgX8Ktm11v5S4n0XHfv8a2Bx7Atr37sXDaX3C0++9mWgM5bUbuekdcvuW/dPdHqKiowNLCAgDg7OyER4+fIDBoP4YOHpSv48pTqkwN2DnntOkZ2UtzJMRFQVc/Z0mLhLgoWNr9d8u+yKL9uX3IVVZjvyiruX2vbMtiZm4BHR1dfPjwDh6ePrh7+yZuXLuMzTuDoakpnsHq6OSCOyHXcebEEbRo0zFP+fkd+lNOpWuih33OEhYZ2XlIio9CMd2cPCQlRMHE6vvXz7Ht0/D07hl0HLkFOvo576l49ehfxES+xqIRvlLpA1YPhpVTGXQc6Z+vfHzpV+4TOpaqCTO7nPPx+Zr6lCDjfFh+/3yc3DUNz++dQduhW6CtL/u9IU9CjiA9LQUlyjbLX/A/QF9LE0pCAaLipV/SGZWQBCOdr5cqeBMZi/fRcRiyZo9kW1b2AKD30DkImtAH1sb5q7O/G3Ox7JgTpF/SGRWfBCNd+cuECYVC2JiIv4BzszbHiw8R2HDkwleD5DefvMLLsCjM6d1a1mEURnKfkbsfEvsD/ZCgI/APOISlk/6UeZ+hoa4Ga3NTWJubwt3FEa0HjUPwyfPo2uIPhcRewrsmrJ2+qGuz27nEuCjofFnXxkXC3Dbvda2mth6ESsowsZCe8W9s4YBXj2/m+biSPsdP3Bvp6+vLuDeKlWr7nJxd4LdsFZKSkpCRkQ5dXT2MGDYYzs7iJ0Y+fHiPA8FBWL5yDWxt7QAADg6OuH//Hg4c2I9Bg4f+VD4+989zx/WtNllP30BGf/7H2vCP2W34Zzq6etDR1YOFpTWsrG3Rp2trPA69D9fieW8Hc+6/c/fP476aXZ7b5/vvJZNHyS0XVuamsMouF20GjsGBk+fQpUWjPMdLRD8mT1O3Z8yYgSVLlqBnz54oVaoUSpUqhZ49e2LRokVYsGABOnbsCD8/PwQEyJ7xMW7cOMTFxUl92ggL7kUj/49UVFTg4uSIW3fuSrZlZWXh1u07KOEq+3HGH+Fe3A1v3kk/pv723QeYmihm/UY1jWIwNLWVfIwtnFBM1xjPH1yWpElJTsS7Z3dg7eSpkL+prqkNLR0DRH18ifcv7sHNq6ZCjvuZiooKnJ2cEHI7Zx26rKwshISEoLhb3gcFRCIRVqxYgUuXL2P2rFkwMyuYl6cCgIqKMlwd7aRe+pGVlYUbdx7A3UX+y3S3Bh7Cxj37sWDiSBR3+npGwOcB8jcfwrB48ijoahfsur8qKiriwYfbOWtlZmVl4U7ILbi6yV4GxtWtBO6ESHc+Q27dkKTPzMxARkbGVzMFlJSEEGVlKTgHYp/L983bOUtTicv3XZRwU9watsnJyfjw4SMMDRR/k/er1lEqKipwcHLB3ZCctXazsrJwN+QmXN1KytzHxa0k7t6WvoZu37oGl+z01WrWw4Jl/2C+33rJx8DQCE1atMOE6TlfBEdFRmDy2CFwcHLFwGFjIRQq5ukoFRVluDrYSr3sKisrC9fvhsLdxUHufluCDuOfPQewaPwwFHe0k/pdg6oV4D9/CjbNmyz5GOnroWOTelg8frhC4v4eFRVluDja48Yd6bXfb965j5KuznL327YvGJt3BWDe5DFwc5Kf/4Lyuc24FSJdvkNCbiu0fAPiduTz2qEFQV1DC8ZmNpKPmZUjdPSM8OjuFUma5E+JePn0Luxd/vv1fL8kbh9cpep7cftwQ277ILtsX5ebHgAiI8ORkBAPfX3xANXnJx9ztyECgVAy4JYXv0N/Sk29GPRNbCUfI3MnaOkY42VoTh5SkxPx/sVtWDrIXy9ZJBLh2PZpeBxyHO2HbYKekfSAQfl6fdBzwn70GB8o+QBArdbj8EdXxb7E81fuE6qqF4O+sa3kY2gmPh+vH0mfj48vb8Pc/tvn4+SuaXh65zhaD94EXSP56+Deu7wXjqVqQlO74O/jVJSVUNzaDFcev5Rsy8oS4crjV/Cw+3r5B3tTQ+wZ1xM7x/SQfKq7O8PX2RY7x/SAmX7Bz8hUUVZGcRsLXH2Y85LfrKwsXA19Dg8Hq2/sKS1LJEKajJcMBly8iRI25nC1Lrh7DOBb/ZCHcHeVf5+xJfAw/tl7AIsmDEdxJ7sf+lvidi//L1T8TE1DC0amtpKPiaUTtHWN8Ox+zuSMlOREvHl+BzZOeW/nlJVVYWXvjoiP0i90jvz4EnpGFnk+roqKCpycnHH7dohkW1ZWFm6HhMDNTfagvptbCYSESL934NatmzLTa2lpQVdXD+/evcPTp09QroJ4rfbUFHHbJ8z1pL9QKIRI9PP3T5/v8XL3z++E3JT0t3NzcSuJO7el351x59Z1uf15AIjK1YbLkpUlbrvz27/6fP99I9f99/U7D+Hu4iR3vy2Bh/DPnmAslHP/LTNmkQhpCiwXRCRfnmaS3717F7a2X788xNbWFnfvigdUPD098eGD7NmNampqX61ZXlBLrShpaULLKWeWmaa9FXRKuyEtOg4pbxQ/+/JntGrWGHMW+cHFyRFuLs7YG3QAKSmpqFdbfNMye+FSGBkaoFfXTgDEFfmr7PVOMzIyEBkVhafPX0BDXR2WFuKXprZs2hhDRv+Frbv2onrligh9/BQHjx7H8EH9CiQPAoEA5et0wbngVTA0tYO+kSVOBSyFtr4J3Lxzln/YOLcbinvXRrna4rykpiQhOjxn/bGYiLf48PohNLR0oWco7kjcv3YEmtr60DWwQPjbxzi8bQbcvGvByb2ywvPRvHlzLFi4EM7OznB1cUFgUBBSU1NRp474Debz58+HoaEhuncXr2mYnp6O16/F8WdkZCAqKgrPnj2DhoYGLLJnAS5fsQJnzpzBpEmToKGhIVnjTUtLq0DW7G/buB5m+K2Fm6M9Sjg7YNeBY0hJTcUfNasAAKYvXQMjA3307ySebbIl4CDW7QjA5GF9YW5shKjsGcMa6urQ1FBHRkYGxs9fjsfPX2HuX8OQlZUlSaNTrBhUVPL3shN5mjZvhSUL58DJ2QXOLm4IDtqLlNQU1K5TDwCwaP5sGBoaoUv3XgCAxk1bYPyY4QjctwtlfMvj/NnTePbkMQYOHgEA0NTUgnup0ti4YQ1U1dRgYmKKe3dv4/TJ4+jRu3+B5AEAWjZrgrmLlsLV2RGuLs7YF3QAKSkpqF9b/Fjg7AVLxOW7W2cAP1a+V6/fiPJly8DUxARR0dHYtHUHhEIhalSrUiB5+FXrqMbN22DZwllwdHaFk0txHAzajdSUZNSo0xAAsHTBDBgaGqFjt74AgIZNWmHy2CHYv28HfHwr4MK5k3j+9BH6Zc8E19bRhbaO9EwpJSVl6OkbwNJK3L5ERUZg8rghMDY2Q5eeAxAfFytJq5/H5Ri+1L5RHUxfvgFujrYo6WSPHQdPICU1FY1qVAIATPVbD2MDPQzo2BIA4B94GGt3BmHq0N7Z5Vs8W1tDXQ2aGurQ1S721ZdeyspKMNDXha1lwd5sf6lN04aYtWQVXJ0cUNzZEbuDDyM5JQUNa1UDAMxYvAJGhgbo27kdAGDrvv3YsG0PJo4YBDMT46/qrf9Ki+bNMH/hIrg4O8HVxQUBQUFISUlB3Tridm/ugoUwMjREj27i5anEbYZ47dB0SZvxHOoa6pKZ4xs2boJvGR8YGxsjOTkZp8+cxZ27dzFj+lTZQRQAgUCA6g074ei+1TAxt4GhiSUO7FgGXX1jePjmDKj6TesFj7I1Ua1+BwBAasonRHzMadOjwt/h7ctQaBbThYGR4l7q3rh5a/gtnAUnZ1c4uxRHcNAepKakoGadBgCAJQtmwtDQCJ269QEANGrSEhPHDkXQvp3w8S2PC+dO4dnTR+g3eCQAIDn5E3Zt24TylapCX98AHz+8x+YNq2FmbgkvH/GsZVe3EtAqVgx+C2ejdfsuUFNTw/EjBxAe9gE+vuVlB5oHv0N/SiAQwLdWF1w6vBIGJrbQNbLC+f1LUEzPRGot8e2LusLFsw58aojzcGz7VDy4dgAt+6+AqrqWZH12NQ1tqKiqo5iuscyXdeoYWHw1oK4Iv0OfEBCfD6/qXXDl6Erom9hCx9AKlw4sQTFdEzh55JyP3X5d4eRRB17VxOfj1K6pCL1xAE16i89HUvba5qrq4vPxWUzEK7x9dg3N+60pkPhl6VyjLCZuOYCSNuZwtzXHljPXkZyahmblxTOFx28OhomeNoY2qQ41FWU4W0hfN9oa4v/r3NsLNObaFTBxYwBK2FnA3c4SW0/+i+S0dDStKP6iYsI/+2Cip4MhzcXnZP3h8yhhawFrY32kZWTiwr0nOPjvHfzVUXpmdWJyCo7feICRrer+J/lo37gupi9bDzdHO9n9kKXrYGyon9MPCTgk7ocMk90PSU5Jxca9B1DF1xOG+rqIi0/EniOnEBEdg5oVy8iNI78EAgEq1e+CU0GrYGhmCwNjKxzfsxTaeiYo4ZNTLtbN6o4SZWqjYh3x00KpKUmICpOua9+/eghNLV3JIHjVP3pg+7KRsHctA4cS5fD4zgWE3jqD3n9tylfMzZq3xKKF8+Ds7AwXFzcEBe2TujdaMH8uDA0N0a17TwBAk6bNMHbMn9i3bw98fcvi3NkzePrksdTs7wvnz0FHVxcmxiZ4+fIF1qxeifLlK8LbW/x/b2VtDXMLCyzzW4wevfpAR0cHly9fQsitm5g0ZXqe8tG4eRv4LZwFR2c3OLu44UDQHqSmJEva8KULZsDA0FjShv/RpBUmjR2C/ft2wtu3PC5K2vA/AeS04RUqVYVedhvuv2EVzMwt4Zndhj8OfYCnT0JRvEQpaGlrI+zDe2z3Xw8zc0u4Fpc/2P6j2jWui7/91sHN0Q4lnB2wM/v+u1FNcfs6belaGBvoSe6//QMOYt2OQEyR3H9/XS427Q1GZV8vGOrpIi4hEXuPnERkdAxqVvCVGwcRKU6eRrnc3Nwwe/ZsrFmzRvJW5PT0dMyePRtu2bMs3r17B1NTU8VFmke6Pu6ocDLnMcwS8/8CALzZvA93eo4rrLAAADWqVEJcXBw2bt2BmJhYODrYY/bUCZLHzMMjIqVmLkVFx6Dv0D8lP+8K2I9dAftR2r0kFs4Srynq5uKEqX+NxvrNW+G/YzfMTU0woHd31K5etcDyUblhL6SnJSN44ySkfIqHjYsPOo1YCxWVnE5/TPhrfErMeVzq/ct72DgnZ23rozvEL8/wrNQMzXuJ/50QG44j22eLH9vVM0bpik1RrUnBDGpWq1YNcfHx2OLvj+iYGDg6OGD6tGmSR+fDIyIg+GJWaHR0NAYNHiz5ee/evdi7dy9KlSqFuXPEyxQcPHgQADBmzBipvzVi+HDJjZYi1a5UDrFxCVi3IwDRsXFwtrfBggkjJcuthEVGSV1PAUdPIT0jAxPmS69B26NNU/Rs2xwR0TG4cE08C6HbyElSafymjoG3e8G8IKhKtRqIj4/DNv+NiImJgb2DIyZPmy15tC4yIhxCYU4+ipcoiZGjx2PL5g3w37gBFpaWGDdxGmztcr6Z/3PMBGzeuA4L581EYkICjE1M0alLD9RvWHDrRdeoWhlxcfHYuGUHYmJi4Ohgj1nTJkmWWwmPiJDKR1R0DPoNGSH5efe+IOzeFwQP95JYOPtvAEBEZBRmzluI+PgE6Orqwr1EcfgtmA093W8/6prnPPyidVSlqrUQHxeLHVs2IDYmGnYOThg/bf4X11AYhF/E7VaiFIaOmoQd/uuwbdNamFtaYfSEGbCx+/FZynduXcfH9+/w8f079O3aUup3ew6ey3eealcqi5j4RKzbGYSo2Hg421lj0fhhUuX7yzztO3YG6RkZ+GuB9NqbPVs3Rq82TfMdj6LUqlwBsXHx2LB9D6JjYuFkb4v5k8fm5CsiCoIvvkQPOnwC6RkZmDR3sdRxurVtgR7tf+ylqopQvWoVxMXFYfOWrYiJiYGDgwNmTJsqaTMiIiKkzkdUdDQGDMm5Od2zLwB79gXAo5Q75s2eBQCIjY3DvAWLEB0dDU0tLdjb2WHG9Knw8ZI/47Mg1G7aA2mpydi+eiqSPyXAwc0LA/5aBRXVnDY9MuwNkuJjJT+/fnYfS6f2kPwcsHkeAKBstSboPHCGwmKrXLUm4uNisX3LP4iNiYa9gxMmTpv7jbLtjuGjJmKb/3ps3bQO5paWGDPhb9hml22hUAmvXj7H6ZNH8SkpEfoGhvD08kX7zj2goiLu3+ro6mHitLnYtnk9Jv81ApkZGbC2tcPYiTNg7yB/plie8vcb9KfK1e2NtNRkHNkqzoOVkw/aDl4H5S/zEPFGKg+3zm0HAGxb2FnqWA27zIJHxRYFEue3/A59ws98a/dGeloyjm+fhNTkeFg6+KDFAOnzERf5BslJOefj9gXx+di9VPp81Os4CyXL55yP+5f3QlvPDHZuip+8Ik99n+KISfyEFQfPIzIhCa6WJlgxoK3kZZ4fY+Kl6oD/B/V83RGTmISV+08jMj4RrlZmWDGkEwx1xF9Uf4iOk+pLJaemYeb2gwiPiYeaijLszIwwo0cL1POVXhbiyLV7gEiE+mVL/Sf5EPdDErBuR+AX/ZDhX/RDoqX6tZJ+yPzc/ZAm6NW2KYRCIV69+4hDZ1cgLj4RutpaKO5oj5XTx8LB+udfDPkzqv7RC2mpyQjYMBkpn+Jh6+KN7qPWSLVzUeGv8Skhp1y8e3Efa2fm1LUHt4nLtnflZmjdV9yOlyxTB826T8aZ4DUI9p8JY3N7dByyBHau+VvasWq16oiLj8MW/82SPse0aTO+6HN8fW80avQ4+G/eiM0b/4GFpQXGT5wCuy/ujaKjo7Bu7SrExsZCX98ANWvVRrv2OcuHKSsrY8rUGdj0z3pMnzoJycnJMLewxPARo+Drm7f11StVrYm4L/rn9g5OmDBtntQ93pd9PrcS7hg2aiK2+6/HVhn9c3Eb/gxnTh7JbsONUNqrDNp37ilpw9XU1XDl0jns3PoPUlNSoG9gAE+fsmjVtoskTX58vv9euyNQcv+9cMIIuf3zgKOnkZ49Ee1LPdo0Ra+2zbLLxQccOnMxu1wUg5uTHVb8PQ4ONgVbLohITCAS/fyzopcuXUKTJk0gFArh4SH+5v7u3bvIzMzEgQMHUL58efj7++Pjx48YNerH1mQ9qKLYR5QLQ+n7ews7BIW4EJn/b1X/H5Q1fV7YIeSbTnJ4YYegEJEaip/p9V/Tyor/fqJfgCAPj0j+P4oR/nezwAqK5afHhR2CQqSr/FovRJMlWUW7sENQiMdJdoUdgkJYakUVdgj5djf8v3sioyAlp/5/DTjmRTWbZ4UdgkIcfyZ/WYtfSVf8U9gh5JtI9b97cqkgJRv++v3zM8kVCzsEhShl+KawQ1CIVFHBPBnzXzJP+fXHEADA0P33KBv/pRNW/82Xjr+T2m/vfj/RLyZPM8krVqyIFy9eYOvWrXj8WHyT37p1a3To0AHa2uIbzc6dO3/rEERERERERERERESFSqj8608MoPzL86LC2traqFq1Kuzs7JCWJn5L9OnTpwEATZo0UUx0REREREREREREREQFKE+D5M+fP0fz5s1x9+5dCAQCiEQiqbXUMjMzFRYgEREREREREREREVFBEX4/ydeGDh0Ke3t7hIeHQ1NTE/fu3cPZs2dRpkwZnDlzRsEhEhEREREREREREREVjDzNJL98+TJOnToFIyMjCIVCKCkpoXLlypg1axaGDBmCW7duKTpOIiIiIiIiIiIiIiKFy9NM8szMTMkLOo2MjPD+/XsAgK2tLR49eqS46IiIiIiIiIiIiIiIClCeZpK7u7vj9u3bsLe3R7ly5TB37lyoqqpizZo1cHBwUHSMRERERERERERERAonUBF8PxH99vI0SD5hwgQkJSUBAKZNm4ZGjRqhSpUqMDQ0xM6dOxUaIBERERERERERERFRQcnTIHm9evUk/3ZyckJoaCiio6Ohr68PgYDfvhARERERERERERHRryFPg+SyGBgYKOpQRERERERERERERET/iTy9uJOIiIiIiIiIiIiI6HfAQXIiIiIiIiIiIiIiKrIUttwKERERERERERER0a9EqMz3KxJnkhMRERERERERERFREcZBciIiIiIiIiIiIiIqsjhITkRERERERERERERFFgfJiYiIiIiIiIiIiKjI4iA5ERERERERERERERVZyoUdABEREREREREREVFhECgJCjsE+j/AmeREREREREREREREVGRxkJyIiIiIiIiIiIiIiiwOkhMRERERERERERFRkcVBciIiIiIiIiIiIiIqsjhITkRERERERERERERFlnJhB0BERERERERERERUGIRKgsIOgf4PcCY5ERERERERERERERVZ/zczyUvf31vYIeTb7ZItCzsEhUg/+aiwQ1AI1czkwg6BslnG3CvsEPItqZhpYYegEFHKZoUdgkJoCpMKO4R8+6SuX9ghKIRyVnphh5BvQlFmYYegEJlZv8cMGCXBr38+wqIKOwLFyMwSFXYI+RafpVPYISiE8DeZ2pRqYF3YIeRbhqpmYYegEJEav/65yPz1u4MAgDSRamGHoBDG6e8KO4R8U02JL+wQiKgQ/SbdLSIiIiIiIiIiIiKin8dBciIiIiIiIiIiIiIqsjhITkRERERERERERERF1v/NmuRERERERERERERE/yWB8Pd4tw/lD2eSExEREREREREREVGRxUFyIiIiIiIiIiIiIiqyOEhOREREREREREREREUWB8mJiIiIiIiIiIiIqMjiIDkRERERERERERERFVnKhR0AERERERERERERUWEQKHEOMXEmOREREREREREREREVYRwkJyIiIiIiIiIiIqIii4PkRERERERERERERFRkcZCciIiIiIiIiIiIiIosDpITERERERERERERUZGlXNgBEBERERERERERERUGoZKgsEOg/wOcSU5ERERERERERERERRYHyYmIiIiIiIiIiIioyOIgOREREREREREREREVWRwkJyIiIiIiIiIiIqIii4PkRERERERERERERFRkKRd2AERERERERERERESFQSAUFHYI9H+AM8mJiIiIiIiIiIiIqMjiIDkRERERERERERERFVm/7HIrgQcPY9e+IETHxMLR3g6D+/aEm4uzzLQvX73Gxq078PjZc4SFR2BAr+5o2bTRV+kioqKwduMWXL1xE6mpabA0N8OooQPh6uxU0Nn5JoPKZeAwsid0vd2hbmGC6y0HIGz/yUKNKTeRSISz+5ci5PxupHyKh5WTNxp2nAIDUzu5+1w8tBqhN48h6uNzKKuqw8rRC7Va/glDMwcAQHJSLM4G+eH5gwuIj/4ATW0DuHrWRrWmQ6Guqa3wPPwO19TewyewLegwomPj4GRng+E9O6GEs4PMtPuPn8Hhs5fw4vVbAICrgx36dmwlSZ+RkYE12/fh8s07eB8WDi1NTfh6lEC/Tq1hbKBfIPF/tuvYefgfPIWouHg421hiVNeWcHe0lZk24NQlHLxwDc/efAAAFLe3xoC2jaTSR8XFw297MP69G4qET8nwdnPEqK4tYWNmUqD5CDh4FDsCgxEdEwdHOxsM7dMdxV1kn/sXr99gw7bdePzsOT6GR2JQzy5o3aShVJpPn5KxftsunP/3GmLi4uBsb4fBvbuhuLOjwmI+fCAAgXt3IDYmGnb2TujVbwicXYvLTX/p/Bls37Ie4WEfYW5hhc7d+8LHt7zk934LZ+H0yaNS+3h6+2LS9HmSn9+/e4NN61ch9OFdZKRnwNbeAe079USp0l4Ky1dwcDD27tmDmJgY2Ds4oH///nB1dZWZ9tWrV/D398fTJ08QHh6OPn36oFnz5lJp7t69i7179uDp06eIjo7GhIkTUbFiRYXFK8vvUEcBv2a5kCXowCHs3hcgOR8D+/aGm6uLzLQvX73Gpq3b8OTpM4SFR6B/7x5o0bSJVJrNW7fDf/tOqW3WVpbYsGp5geUBELffh3cvx7+n9iA5KQH2rl5o3XMijM1l17kA8OzhdZwK/gdvXjxAfEwEeoxcAg/fWpLfZ2ak4+BOPzwMOY+o8LdQ1ywGF/fyaNx+OHQN8l/vHgwORODeXYiJiYadvSP69B8MF1c3uekvnj+Lrf7/IDzsIywsrNClR2+U8S0n+X3ThrVk7te1Rx+0aNUWANC7WweEh4dJ/b5zt15o1aZ9vvPzmUgkwrWjfnhwZTdSk+Nhbu+Nqi0mQ8/YTu4+9y5tx73L25EQ/Q4AYGDmhDK1B8K2eFVJmvv/7sSTmwcQ8e4B0lOT0HP6Vahp6Cgs7tx5uH7MD6FXxXkws/NGleaTofuNPNy/vB0PLm9HQow4D/qmTvCpPRA2bjl5OLd3Et49uYyk+HCoqGnC1NYL5Rr+CX0T2X2c/Dp6YC+C921HbEw0bO0d0b3vcDi5lpCb/vKFU9i1ZR0iwj7CzMIKHbv1h5dvBcnvd29dj0vnTyIqIhzKysqwd3JFuy594OxaskDi/0wkEuHiwaW4e1F8PiwcvFGn3RTom9jJ3efK0dV4HHIM0WHPoayiDksHL1Rt9icMTKX/r98/v4XzwYvw4eUdCIVCmFgWR8tB66Giqq7QPOw+dhZbgk9I+oR/dmuDkk6y4w88eREHz1/B87fvAQBu9jYY0LaJVPqy7QfK3Hdwh2bo3LiOQmP/bO/hk9j6Rf98RM+OcvvnQcfP4sjZi3j+WlweXB3s0K9jS6n063YG4sSFKwiPioaKsrK4D9+hBUq6KLbdOxgchIDsutbe3hF9+g/6Zl174fxZbPXfmF3XWqJrrro2OTkZm/5ZhyuXLyIhIR6mpmZo1KQ5GvzRWOo4oQ8fwH/TBjx+FAqhUAh7B0dM/Xs21NTUFJIvkUiEkwF+uH5mN1I+JcDG2QtNuk6GkZmd3H1ehF7DhcMb8P7lfSTERqDDED+U8KktlSY1JQnHdi3Ew5sn8SkxFvrGVqhQpxPK1myX75gLo3/+WXp6GsYM74+XL55hwdK1sHeU3fdUhH2HjmFHwAFEx2b3EXt3RQk5fcTgY6dw9PR5PH/9BgDg6miP3p3ayk1fUH6X+1YiEsvzTPKTJ0+iUaNGcHR0hKOjIxo1aoQTJ04oMja5Tp+/iFXrNqJL+zZYtXgeHO1tMWbSdMTExslMn5KaBnMzU/Tq2gkG+noy0yQkJmLo6PFQVlLC7CkTsGH5YvTr0RXaxYoVYE5+jJKWJuLvPMK9IVMLOxS5Lh9Zi2sn/dGg0xR0/2sXVFU1sG1xT2Skp8rd59XjqyhToyO6j9uFjsP/QVZmBrYu6om01E8AgITYcCTGhaN26zHoM+UAGnebhWf3zuPApvEKj/93uKZOXLwCv4070KNNM2yYNxVOttYYMX0+YuLiZaa/eT8UdSqXw9KpY7B65gSYGBlg+LR5iIiKkeTx0fNX6NaqCTbMm4qZowfh9fuPGDN7SYHE/9mxyzexaGsAereohy1/j4KLjQUGz16J6LgEmelvPHyKehW8sWr8IPwzdThMDfUwaPZKhEfHAhB3hP9cuB7vwqOwYEQvbJ0xCmZGBhgwcwWSU+Rfn/l16vwlLN/gj65tW2HtwllwtLfFn1NmffOasjA1QZ/OHeReU3OXrcb1kLsYP3wg/lk6D75eHhg56W9EREUrJOYL507hn7Ur0KZDN8xfuhZ29o6YNnEUYmNjZKYPfXAPC+dOQ626f2DB0nUoW6Ey5vw9Aa9ePpdK5+VTFuv990o+I0ZPkvr9jCnjkJmZiakzF2HekjWws3fCzKnjEBMdpZB8nT17FmvXrEGHjh3h5+cHB3t7TJwwAbGxsTLTp6akwNzMDN27d4e+vuwvhFJSUmDv4IABAwYoJMbv+R3qKODXLBeynDl3AavXbUCn9u2wcslCONjbYdykqYiRd02lpsLczAw9u3aBgZxrCgDsbGyw0/8fyWfRnFkFlIMcJ/dvwLkjW9G61yQM/3sbVNU0sGpWX6Snya8fU1OSYWHrilbdZbfHaWkpePvyAeq26IuRs3ahx4jFCH//EuvmD8p3vOfPnsaGtavQtkMXLPRbBXsHR0yZOEZuPfXwwX3Mn/M3atdtgEV+q1GuQiXMmj4Jr16+kKTZuGW31GfwsFEQCASoWKmK1LE6dOomla5Rk2b5zs+Xbp1ehzsX/FGt5RS0HLILyqoaOLC21zf7UsV0TVGh4Ui0HrYXrYftgaVTeRzeOBDRH59I0mSkpcDGrQp8avVVaLyy3D6zDvcu+qNKiyloPlich4Prv50HLV1TlGswEi2H7EWLIeI8HN0knQcjy5Ko1mYm2v55EA17rgNEIhxa1xNZWZkKz8Olcyexed0ytGzfHbOXrIetvRNmThqBODnX2KOHd7F07lTUqNMIs5dugG/5Kpg3Yxxef9EWmltao3u/4Zi3fBOmzl0BY1NzzJg4AvFxso+pKFePr8WtM/6o024KOo7aBRVVDexZ9u3++ZsnV+FVtSM6/rkLrQf/g8zMDOz2y+mfA+IB8j3Le8GueGV0GrUbnUbvgWe1jhAIFPuQ8vHLN7DYfx96tWyIzTPHwtnWCkNmL/tGn/Ax6lUsg5UThmL91D9haqiPwbOWSfqEAHBo5Uypz8S+nSAQCFCzrOK+mP/SiYtXsHTjDvRo0xT/zJsCJ1trDJ++ANFy+ue37oeiduXy8Puifz5s2nxJ/xwAbCxMMbJXJ/gvnI6Vf/8FcxNDDJu+QG6fPy/Onz2N9WtXoV2Hzljktwp2Dg6YPHHsd+raGahTtz4W+61CuQqVMHP6ZKm6dv3albh54xpGjBqL5as3oHGzFli90g9X/r0kSRP68AGmTBwLL28fLFi8DAuWLEejxk0hVOBawecPrcO/x7egabcp6DdpJ1TVNLFpfu9vtnvpqckws3ZF484T5aY5vG0Onty9gFZ952LorIOoWLcLDvj/jYc3T+Ur3sLqn3+2ecNqGBga5SsPP+LkhctYvmELurVrgXULZ8DJzgZ/Tp0tt494694D1KpSEUumT8DKOVNhYmSIP6fMLtD+X26/y30rEeXIU09mxYoVqF+/PrS1tTF06FAMHToUOjo6aNiwIZYvL9gZTwCwJzAYDevVRv3aNWFnY41hA/pCTU0NR47Lnl3t5uKEvj26ombVylBRUZGZZseeABgbGWH0sEFwc3GGuZkpynh7wsLcrCCz8kMijp7D48mLERb033wJ8bNEIhGuntyMyn/0h6tnbZhauaFJj7lIiA3Ho1vyY+4wbD1KV2oBY0tnmFq7oXH32YiPfo8Pr+4DAEwsXdCqvx9cSteEgYkN7ItXQPXmw/DkzilkZWYoNA+/wzW1M/goGteuhj9qVoG9tSVG9e0KNTVVHDh5Tmb6KcP6oUX9WnCxt4WtlQXG9u+BLJEI1+8+AAAU09LEksmjUKtSWdhamsPdxQkjenXCo2cv8TFCMYOXsmw9fAbNalREk2rl4WBlhnE92kBdTRX7z/4rM/3fA7ugdZ0qcLWzgp2FKSb0bg9RVhau3n8MAHj9MQJ3n77E2B6tUdLRFnYWphjXvTVS09Nx9PLNAsvHrqCDaFS3JhrWrg47GyuM7N8L6mqqOHTijMz0xZ0d0b97J9SqWhGqKl8/5JOamoZzl6+iX7cOKF2yOKzMzdC9fWtYmpsh6PBxhcQcHLAbder/gVp1GsDaxg59B42Amro6Th07JDP9gf174eVTFs1atoOVjS06dO4Je0dnHD4QIJVORUUF+gaGkk8x7ZwnQeLjYvHh/Vu0aN0BdvaOsLC0QudufZCamoLXr17k/pN5EhAQgPoNGqBu3bqwsbXFoMGDoaamhmPHjslM7+Lqip69eqFa9epyy7evry+6du2KipUqKSTG7/kd6ijg1ywXsuwNDEKDenVRv04t2NpYY+jA/lBTU8NROefD1cUZfXp0Q41qVaAiIx+fCZWEMNDXl3x0dQtmtu9nIpEI5w77o27zPihVpiYsbF3RceBMxMWE4+51+U+slfCqgj/aDoFH2doyf6+hqY0B49fBq0J9mFrYw865NFr1+Atvnj9ATOSHfMUcFLAHdes3RO269WFjY4f+g4ZBTU0NJ44dkZk+OGgfvH180aJVW1jb2KJjl+5wcHTGweBASRp9AwOpz9V/L6KUhyfMzC1y5UtTKp26uka+8vIlkUiEO+c3w6d2P9i714KRhStqtZuDpPhwvLgnvy9lV7ImbItXg56xHfSM7VG+wXCoqGri46vbkjSlq3aFd80+MLUprbB45eXh7oXN8K7VD3Yla8HQ3BU12s7Bp/hwvLz/jTyUqAmb4tWgm52HsvXFeQh/nZOHEuXbwsLBF9oGVjC2Kgnf+sOQGPtBMvtckQ4G7kCteo1Ro84fsLKxR6+Bo6Cqpo7Txw/ITH94/254+pRDk5YdYGVth7ade8Pe0QVHD+yVpKlcvS48PH1hamYJa1sHdOk1GMmfkvDqxTOFx/+ZSCTCzdObUb5+fziVrg1jSzc07DoXiXHheHpb/vloNWg93Cu0gJGFM0ys3NCg82wkxLxH2Ov7kjSn986Cd/XOKFe3D4wsnGFg6gA3n4ZQVlFVaB62HTyJZjUronH1CnCwMsfYnu2grqqK4DOXZaafPqg7WtWtChc7a9hZmmF8n47iJzTuPZKkMdLTlfqcvXEHPiWcYWlaMIOAO4KPoUntqmiU3T8f3bdLdv/8vMz0U4b1Rcv6NeFibwM7K3OM699dqn8OAHWrVIBv6ZKwNDOBg40lhnRrj6RPyXj26q3C4g4K2PtFXWuLAT9Z13bq0h0Ojk44GBwkSRP68AFq1qqLUh6eMDU1Q/0GjWDv4Ignj0IladatWYFGTZqjVZv2sLG1g5WVNSpXrQ4VBV1bIpEIl45uRvXG/VDcuxbMbFzRqs9sJMSG4+FN+eXCpXRV1Gk1DCXKyH/a4PXTW/Cq3BQOxctC39gSvjXawMzaFW+f38lXzIXRP//s5vUrCLl5DV179s9XHn7ErqBDaFS3BhrWqg47ayuM7N8T6mpqOHjyrMz0k0YMQvOGdeDsYAdbK0uMHtgHWSIRbty5V+Cxfva73LcSUY48DZLPnDkTixYtwvbt2zFkyBAMGTIE27Ztw6JFizBz5kxFxyglPT0dj58+g3dpD8k2oVAIb08PPHj0OM/HvXT1OlydHDF19ny07NQdfYf+iYNHC+4G+3cSG/kWiXERsC+es9SAuqY2LB1K4+3zWz98nNRk8TeuGlq630iTCDX1YhAqKW6loN/hmkpPz8CjZy/h65HzKLBQKEQZj5K49/jHbsBS0lKRkZkJnWJactMkJiVDIBBAW0sz3zHLkp6RgdAXb1DOPWfJAqFQiLLuLrjz5OUPHSMlNQ0ZmVnQzY4xPV38hYraFwOFQqEQqsrKCHn0XOYx8is9PQOPn72AT+lSUn/Tp3Qp3M/jNZWZmYnMrCyo5hrwVFNVxd2HoXL2+nHp6el49vQRPDx9JNuEQiE8PH3wKPSBzH0eh96XSg8AXt5lv0p/724IunVohkF9OmP18oVIiM+ZEaKtowtLK2ucOXUUKSnJyMzMwNHD+6Grpw9HJ9nLofxsvp4+eQJPT0+pfHl6eiL04cN8H/+/8DvUUcCvWS5kkZwPz9znozQehD76xp7f9/79B7Tt0h2de/bFrHkLER4ekd9wvykq/C3iYyPhUipnWQgNTW3YOnng5ePb39jz5yV/SoRAIIBGPpZLE9dTj1Ha01uyTSgUorSnt9x66lHoA5T2ylVP+ZSRmz42JhrXr11B7boNvvrd3t3b0altMwwb1Bf79uxEZqbiZjHHR7/Fp4QIWDvn9KXUNLRhauOBj69CfugYWVmZeHLrINLTPsHM1lNhsf2ohOw8WObKg4m1B8J+Ig9PQ8R5MJWTh/S0T3h0bR+0DaxQTFexX+plpKfj+dPHKOVZRrJNKBSilGcZPAm9L3Ofx6H34P5FegAo7V0Oj0NlD9RkpKfj5JEgaGoVg619wS0LEBf1FknxEbB1lT4f5nal8f7Fz/fP1bP750kJUfjw8jY0tQ2xbX47rBhbETsWdcLbp9cVGv/nPqGve87yHkKhEL7ubrj75Mf6bympacjIyIROMdn91qjYeFy8dQ9NahTMcmmf++dlPHKW1REKhfD1KIF7j5/+0DG+1z9PT89A0PEzKKapASc7awXFnY6nTx/DU0ZdGyqn7gwNfYDSXt5S27x9fKXSuxUvgatXLiEqMlL8xeDtELx/9xae3uLyExsbg8ePQqGnp4fRI4egc4dWGDd6BB7cv6uQfAFATMRbJMZFwrFkTrunrqkNKwcPvHmav3bPxskLobdOIz46DCKRCM8fXkFk2Es4ued9QkVh9c8BcXu4Yuk8DP3zL4UtdSPP5z5iGQ93yTZxH9Ed9x89+caeOVLTUpGRmQGd/2glgN/lvpWIpOVppDE2Nhb169f/anvdunUxZsyYfAf1LXHxCcjKyoJ+rseu9fV08eZt3meTfPgYhv2Hj6JVs8bo0LoFHj15imVrNkBZWRn1atXIZ9S/t8Q48U28lo6h1HYtbUMkxUX+0DFEWVk4tmMmrJy8YWIpe03XTwnROH9gBbyqts1fwLn8DtdUbEICMrOyYKAn/QWDga4OXr/7sVl7K/13w0hfD2U8ZK+5mZqWhpVbdqF25XLQ0lTc7LkvxSYkifOhKz2IYqCjjZfvw3/oGH479sNIXwdl3cUDrHYWpjAz1MeyncH4q2dbaKipYuvhMwiLjkVkrOIeS/1SXHw8MrOyoJ/rfOjr6eJ1Hq8pTU0NlHR1xuZd+2BrZQl9PT2cPH8R9x89hqVZ/gcJEuLjkJWVBT09A6ntenr6ePfmtcx9YmOiv0qvq6eP2Jicxxy9fMqiXMWqMDUzx8cP77B10zpMnzwGs+Yvh5KSEgQCASbPWIA50yegY6uGEAgE0NXTx8Rpc2XOaPlZ8fHx2eVbeokLPX19vHmruBlXBel3qKOAX7NcyCI5H3p6UtvF5yPv15Sbqwv+HD4E1paWiIqOwZbtOzB8zF9Yu3wpNAuozk2IFbfR2rrS7be2riHiY3+s/f4R6WmpCN62CN4VG0JdM+83r/Gf66nc5VlPH2/fvJG5j7ie+jp9TIzsx7FPnTgGDQ1NVMi11EqjJs3h4OQMbW1tPHzwAP6b1iEmOgo9+yhmyaVPCeK+lIa29LnQKGaETwnfPhdRHx5hr197ZGakQkVVEw26LYOB2X//Ph1JHorlyoP2j+UhcHlOHup1WQZ9U+k83L+0Df8emo+MtE/QM7bHH703QElZsTOXxddYJnS/atsM8P7tK5n7yLrGdPX0ERcrfY3duHoRS+ZOQVpqCvT0DTF++iLo6OopNP4vJcWLz4dmrv65prYhkuJ/vH9+eu9MWDp4w9hC3D+PixSXtUuHlqFa89EwsSqOB1cCsduvG7qNP/DN9c5/Rmx8ouw+oa42Xr3/+EPHWLYtEEb6uijrLnsd7YPnrkBLXR01fD3zG65MOf1z6aeCDHR18erdj+VhhaR/Lr1+/cXrIZi0aBVSUtNgqK+LxZP/hJ6OYt7Z9K269p3cujZGRl2rJ1XX9u0/CMuWLkL3Lu2y+4BCDBo6HO6lxF86f/wovmfZvnUzuvfsC3tHR5w+eRwTxo3GspVrYWFple+8JWbfmxbL1e4V0zFCQlz+vphu1HkCAv+ZhLnDq0OopAyBQIBm3afB3s03z8csrP65SCSC36LZqNewCZyc3RAelr+nwL4nLrus5O4jGujq4nX2Owa+Z9Wm7TDS14dPaffvJ1aA3+W+lXIIlRS3rBP9uvI0SN6kSRMEBARg1KhRUtuDgoLQqNHXLwbLLTU1Famp0msqpaalQU1VsR3dnyESieDi5IheXToCAJwdHfDy1RsEHz7GQfJc7v67H4e2TJb83G7w6nwf8/C2qYh4/wRdR2+T+fvU5ETs8OsLYwtHVG2c/zVN/wu/0jXlv+8ATly8gmVTx8oshxkZGZi4YAVEImBUn66FEOGP2bj/OI5dvoXVEwZBTVX8DbyyshLmDe+J6Wu2o2afcVDK/oa/YunigKiQA/5J44cPxBy/1WjZYwCUhEI4O9qjVpVKePTs/3dmQeVqOS/Es7VzgK2dIwb06oD7d0Pg4ekDkUiEtSuWQFdPH3/PXQpVVTWcOHoQM6eOw9zFq2FgYPiNo1N+/Ep11Lf8iuVClrJlcmZ9OdjbobirMzr26IOzFy6gQV3FvEzu+oUD2LU25/0mfcasUMhxvyUzIx0bl4wERCK07il/Ldf/FyeOH0G1GrWgmqstbNqiteTfdvaOUFFRxgq/RejSvVeelgF4fDMYZ/bk9KX+6LkqzzHrGduj7YgApKYk4Nmdozi5Yyya9fcv8IHyJzeDcW5fTh4adM9fHloNC0BaSgKe3z2K07vGokk/f6mBcievxrByroikhAjcObsBJ7YMQ9MB26GsUrAzHBWlpIc35i79B/HxsTh1NBiL50zCjAVroKsn/z0FP+PB1f04vj3nfLQYkP/++YmdUxH5/gnaj8jpn4tEWQCA0pXaolSFlgAAU+sSePXoMu5e3ouqTUfm++8qwqagYzh++QZWThwm6RPmFnz2MupV8pX7+8K2ed9BnLh4FcunjvkqRm/34tg0fypiExKx//hZTFywEmtnT4RBAS/TlR8H9gficehDTJg8HcYmprh/7w5Wr/CDgYEhPL18IMoSd8zrNWiE2nXFE/IcHZ1xO+QWjh87gq7de/303wy5FIz9G6dIfu48YqVC8iLLv8e34O2z2+g0bAX0DC3w8tF1BPtPh7a+CZxKFuzL3X/W9/rnh4L3ITn5E1q07liIUf64LXv34+SFy1j698RCHVP6Gb/7fSvRrypPg+QlSpTAjBkzcObMGVSoIH5U6d9//8XFixcxcuRILF26VJJ2yJAhX+0/a9YsTJ0q/RLK4YP6Y8Tg78/G0dXRhlAoRExMrNT2mNg4uS/1+hEG+nqwtZb+dtrG2hLnLsleT6ooc/GsCUuHnHUtM9PTAABJ8VHQ1st563JSQhRMreW/Af2zI9um4cmdM+gyagt0DL6e+ZeakojtS3pBVV0LrQcsh5KyYjuyv8M1paetDSWhENG5XmwSHRf/1ezy3LYFHcaWgINYPHm0zMc0Pw+Qh0VEYenUMQU2ixwA9LS1xPnI9bKT6PgEGOp+e3aM/8FT2Bh8EivGDYCzjaXU74rbW2PbrNFI/JSM9IxM6OsUQ9dJC1HCXjGPpeamq6MDJaHwqxfN5PeasjQ3w9KZk5GckoJPn5JhaKCPKXMXw8LUNJ8Ri5c9EQqFiM018y02NgZ6+gYy99HTN/gqfdw30gOAmbkFdHR08eHDO3h4+uDu7Zu4ce0yNu8Mhqam+FFiRycX3Am5jjMnjqBFm/x1znV0dLLLt/TLjWJjYr75AsX/J79DHQX8muVCFsn5yPWSzpjYOLkves2LYsWKwcrSAu9/cMbkj3D3qQFbp5xlYjKy2++EuCjo6htLtifERcHSNv/LHX0eII+JeI+BEzfkaxY5AOh8rqdyl+fYGOgbfKuekpFeRj11/94dvHv7BqPGfn8w38W1ODIzMxEWFgYrq59vS+xK1EDbETnnIjNDfC6SE6KgpZPTl0pOjIShRfFvHktJWRW6RrYAABMrd0S8uYc7FzajeqtpPx3Xz7AtUQOtbGTkITFXHhJ+Lg/G2Xm4e2EzqrbMyYOahjbUNLSha2wHU5vS2Di5HF7eOw4nr+9P0PlR4mtM6atZ4HGx0dDTl/2lraxrLC425qvZ6OrqGjCzsIKZhRVc3NwxtHc7nDp2AM3bdFZI7E4eNWFu90X/PPt8fIqPQjHdnPPxKSEKJlbf75+f2DkNz++dQdvhW6Ctn9M/19IR1xWG5o5S6Q3NHJEQ/WMzPn+Enk4x2X3CuAQY6n17IHjLgRPYtP8Ylv01GM62ljLT3Ap9ilfvwzBjSA+FxZxbTv9cegZodFzcV7PLc/vcP18yeZTM/rmGuhqszE1hZW4KdxdHtBk4BgdOnkOXFvkvD9+qa/UMZLdzevr6MuraWEldm5qaCv9NGzBuwhT4li0PALC3d8CLZ88QsG83PL18JPW4tY2t1HGsrW0QGfFjM3NzK+5VE9aOX7d7iXHS962J8ZEwt/l2PfUt6WkpOL5nMToMWQpXz+oAADMbV3x4/RAXD/+T50HywuyfPw59gLbNpL+kHzWsL6rWqIMhI8blKT/y6GaXldx9xOi47/cRtwcewLa9+7Fw2l9wtLNRaFzf8rvctxKRtDytSb5+/Xro6+vjwYMHWL9+PdavX4/79+9DT08P69evx6JFi7Bo0SIsXrxY5v7jxo1DXFyc1Gdg3x/7ZlhFRQUuTo64dSdnbbKsrCzcun0HJVxlL9PxI9yLu+HNO+mO3dt3H2BqYixnj6JLTb0YDExsJR8jCycU0zXGy9Ccl+ikJifi3fPbsHKQ/6Z4kUiEI9um4dGt4+g8chP0jb+u+FOTE7FtUU8IlVTQduDKApkt9DtcUyoqynB1tJN6qU9WVhZu3HkAdxdHufttDTyEjXv2Y8HEkSjuZP/V7z8PkL/5EIbFk0dBV7tg13hTUVaGm7215OUlgDgf1+49hoezndz9NgWfxLqAo/Ab3Q8lHOR3joppakBfpxhefwzHw+evUc2nlNy0+aGiogwXR3upF8dkZWXh5p17KJmPa+ozDXV1GBroIyExEddC7qBSOZ/v7/QdKioqcHRyxZ2QnJfCZGVl4U7IDbi6yV6Cx8WtJO7eln6JzO1b1+WmB4DIyHAkJMRDP3uw4fNTRQKB9ONtAoEQWaL8T5lQUVGBk7MzboeESLZlZWUhJCQEbsXzfjP0X/od6ijg1ywXskjOx+2cF3FJzodb/geWP0tOTsaHDx9hIGdAIi/UNbRgbGYj+ZhZOUJHzwhP7uV8MZLyKRGvnt6BnUv+XvL4eYA84sNrDJiwDlraevmM/nM95YI7t3PWUxbXU7fk1juubiWk6jUACLklu147cewwHJ1cYO8gv9387PnzpxAKhdDL43IZqurFoGtkK/nomzpBU9sYb5/k9KXSUhIR9vrOT68vLsrKkgyQFiR5eXiXKw/hb+7IXV9cHpHoR/IgQmamYvOprKICBycX3L19Q7ItKysL927fgLNbSZn7uLi5416I9Hrcd29dg4vbtx/5F4myJAN2iqCqXgz6JraSj6G5E7R0jPHqkXT//MPL27Cw/3b//MTOaXh6+zjaDN0EPSPp/rmuoRWK6ZogOkz65dox4S+hYyB7QDovPvcJv3zpZlZWFq7ff4RSzg5y99u8/zjW7zuMJWMHooSjrdx0+09fgpu9DVxs87+Ehzyf++c3cvXPr995CHcX+U96bAk8hH/2BGOhnP65LFkiEdKy1zPOLxUVFTg5ueD27dx9wltwk1PXurmVwJ0Q6bXuQ27dkKTPzMxARkYGhALp4QehklAyg9zU1AwGhoZ491Z6SZd3797C2CRvX3yraWjB0NRW8jGxdEIxXSM8e/BFu5eciLfP78DaKe/tXmZmBjIz0yHIlT+BUAlZWVl5Pm5h9c979h2CBX7rJJ8JU+cAAEaOnYwOXXrmOT/y5PQRc979IO4j3kdJV2e5+23bF4zNuwIwb/IYuDnJrxcKwu9y30pE0vI0k/zFi5xOkSh7ECP3AMe3qKmpffXyh/ifeCymVbPGmLPIDy5OjnBzccbeoANISUlFvdo1AQCzFy6FkaEBenXtBED8wotXb8TrhGZkZCAyKgpPn7+Ahro6LC3MAQAtmzbGkNF/YeuuvaheuSJCHz/FwaPHMXxQvx+Oq6AoaWlCyymnAtW0t4JOaTekRcch5U3Brg/2IwQCAcrW6oILB1fCwMQWekZWOBO0BNp6JnD1qi1Jt2VBV7h61YFvTfF5ObJtKu5dOYA2A1dAVV1Lsra5moY2VFTVswfIeyA9LRlNe85DakoiUlMSAQCa2gYQCpUUloff4Zpq27geZvithZujPUo4O2DXgWNISU3FHzXF66pOX7oGRgb66N9J/Mj4loCDWLcjAJOH9YW5sRGismepaqirQ1NDHRkZGRg/fzkeP3+FuX8NQ1ZWliSNTrFiUFFR3MtTv9SxQXVMWb0VJextUNLRBtuOnEVyahoaVysHAJi0cgtM9HUxqF1jAMDG4BNYvecQ/h7YBebGBpL12jTV1aCpLq5nTly5BT3tYjAz0sfT1x+wwH8fqpUphfIe359JlVdtmv6BWUtWws3JAW7OTtgTfAjJKaloULsaAGDGouUwNjRAny7tAYhf1PIy+5pKT89EZFQ0njx/CQ0NdViZi2dwXb15GyKIYGNpgbcfPmLVxq2wsbRAw1rVFRJz4+at4bdwFpycXeHsUhzBQXuQmpKCmnXEL7BbsmAmDA2N0KlbHwBAoyYtMXHsUATt2wkf3/K4cO4Unj19hH6DxY9aJyd/wq5tm1C+UlXo6xvg44f32LxhNczMLeHlI16f0dWtBLSKFYPfwtlo3b4L1NTUcPzIAYSHfYCPb3mF5Kt58+ZYuGABnJ2d4eLqiqDAQKSmpqJOHfHsmPnz58PQ0BDdu3cHIC7fr1+L13nMyMhAVFQUnj17Bg0NDVhYWGTnLRnv3+cMMIeFheHZs2fQ1taGiYkJFO13qKOAX7NcyNKyWVPMXbQELs5OcHVxRkBQMFJSUlCvtvjx5TkLFsPI0BA9u3XOjj0dr7LXcU3PyEBkVDSePn8ODXUNyflYvf4flC/rC1MTY0RFx2Dz1u0QCoWoUa2K7CAUQCAQoGqDzjgWsAbGZrYwMLHEoV3LoKtvglJlch7FXj69Jzx8a6FK/Q4AgNSUT4j4mLMWanT4O7x9GQqtYrrQNzJHZkY6/lk0Am9fPEDvMcuRlZUlWeNcs5gulPPxRFjT5q2wZOEcODm7wNnFDcFBe5GSmoLadeoBABbNnw1DQyN0yX4sv3HTFhg/ZjgC9+1CGd/yOH/2NJ49eYyBg0dIHffTpyRcPH8O3Xt9ff2HPryPx49CUcrDExoaGggNfYANa1aiWo1aCnl3AiA+Fx5VuuDGyVXQNbaDjoElrh5ZCi0dE9i75/SlglZ1g4N7bZSqLC7rlw8tgK1rVRTTN0d6ahIe3zqAd8+vonHvdTl5i4/Ap4RIxEWJz1nUh8dQVdNCMX1zqGvqKST+z3koVbkLbp5aBV0jO2gbWOL6saXQ1DGBXcmcPASv6Qb7krXhXkmchyuHF8DatSq09cyRlpqEpyEH8P75VfzRU5yH+Kg3eHb7EKxcKkFdywBJcR8RcnotlFTUYONWTWHxf/ZHs3ZYsWgGHJ3d4OhSHIeCdiE1JRnVa/8BAFi2YDoMDI3RoZv4WmnQpDWmjh2E4H3b4e1bEZfOncCzp6HoPWg0ACAlJRkBOzfDp1wl6BsYISE+FkcP7EN0VCTKVy64pa0EAgG8a3TBv0dWQt/EFrqGVrh4YAmK6ZrAqXTO+di1pCucSteBd3Xx+TixcypCrx9As74roKqmhaTs/rlqdv9cIBDAt3ZPXDzoB2NLN5hYFcf9KwGIDnuOJr2Wyowlrzr8UQtTV25GcQcblHSyw47Dp5CcmopG1cT9g8krNsFEXw8D2zcFAGzafwxrdh/E9EHdsvuE4lmp4j6huuS4iZ+ScfLKLQzt2EKh8crSrnFd/O23Dm6Odijh7ICd2f3zRjUrAwCmLV0LYwM9Sf/cP+Ag1u0IxBRJ/1ycBw11NWhqqCM5JRWb9gajsq8XDPV0EZeQiL1HTiIyOgY1K+R97evcmjZvicUL58LJ2RUuLq7YH7QPKakpqFVHvAzKovmzYWBoJFkCpXHTFvhrzAgE7NsNX99yOHf2NJ4+eYyBg4cDADQ1teBeygP/bFgDVTVV8XIrd+/g9Mnj6NFbXJYEAgGat2yD7Vs2wd7BEfYOjjh14hjevX2DseMnyw70JwkEAlSs1wVn9q+Coakt9I2tcHLfUmjrmaC4d0652DCnO0p410b5OuInGlNTkhAdltPuxUS8xYdXD6FRTBd6hhZQ1ygGOzdfHNk5D8qq6tAzssDL0GsIuRiEBu3z9862wuif5/5SQkND/CSxmZkFjIwU388FgDZNG2LWklVwdXJAcWdH7A4+jOSUFDSsld1HXLwCRoYG6Nu5HQBg67792LBtDyaOGAQzE+Ov7mX/C7/LfSsR5cjzKNfnGeNPnojfNuzs7Ixhw4ahV6+fXyvsZ9WoUglxcXHYuHUHYmJi4ehgj9lTJ0gexQmPiJQatI+KjkHfoX9Kft4VsB+7AvajtHtJLJwlfozTzcUJU/8ajfWbt8J/x26Ym5pgQO/uqF29aoHn53t0fdxR4aS/5OcS8/8CALzZvA93eir2Uae8qlC/N9LSknHQfxJSPsXD2tkH7Yeuk5r5HRPxBp8Scx7Du3FmOwDAf770Y6aNu81C6Uot8OH1fbx7IX7L+Irx0o96DZp1EnpGipv58TtcU7UrlUNsXALW7QhAdGwcnO1tsGDCSMlyK2GRUVJ5CDh6CukZGZgwf7nUcXq0aYqebZsjIjoGF66JZ4R0GzlJKo3f1DHwdi+YWbh1K3gjJiERq/YcQlRcPFxsreA3ph8Ms9dY/BgVA+EX+dh74iLSMzIxZsk/Usfp3aI++rYUdx4jY+KxaEsgouISYKSngz+q+KJX83oFEv9nNatURGx8PDZs243omFg42dti3uSxMMh+2V94ZCSEwpx8REZHo9fwsZKfdwQewI7AA/B0L44lM8Q3BomfPmGt/3ZEREZDW7sYqlUoi16d2kFZWTFfWFSuWhPxcbHYvuUfxMZEw97BCROnzZU8nhkZESb1f+9Wwh3DR03ENv/12LppHcwtLTFmwt+wtRPP5BAKlfDq5XOcPnkUn5ISoW9gCE8vX7Tv3EOyhq+Orh4mTpuLbZvXY/JfI5CZkQFrWzuMnTgD9g6KWU+3WrVqiI+Lg/+WLYiJjoaDoyOmTZ8uWRojIjxcKl/R0dEYPCjn3Qd79+7F3r17UapUKcyZOxcA8OTJE4z94kXVa9esAQDUrl0bI0Yqfj3W36GOAn7NciFL9aqVERsXh01btiMmJgaODvaYOW2y5OWq4REREAi/PB/R6D8kZ1B2975A7N4XCA/3klgwe4Y4r5FRmDlvARLiE6Crqwv3EsWxdMEc6Ol+e8ms/KrVpAfSUpOxc+0UJH9KgIOrN/qOXQUV1Zz2OzLsDRITctrv18/uYfn0nCUKAv3F5cK3alN0HDADsdHhuHfjNABg3phWUn9v4MQNcC5ZNs/xVqlWA/HxcdjmvxExMTGwd3DE5Gmzv6inwqWuoeIlSmLk6PHYsnkD/DdugIWlJcZNnAZbO+nZmefPnoYIIlSt/vWgpYqKCs6fPY0dWzchPT0dJqZmaNKsJZq2aPVV2vzwqtELGWnJOLNnEtKS42Fu74NGvddK9aXio14jOSnnXCQnRuPkjjFIio+Amro2DC1c0bj3Oli7VJKkuXd5B64fz2nrA1eIB0Nrtp0JN1/FDhKWrt4L6WnJOLd3EtJS4mFm54OGPb/OQ0quPJzeOQaf4iOgqq4NQ3NX/NFzHayy86CkrIoPL27g7oXNSE2Oh0YxQ5jbl0GzAdu/ekmoIlSsWgvxcbHYtWUdYmOiYefghHHTFkiusaiIMAiFObNFXYuXwuBRk7HTfy12bF4DMwsrjBo/CzaStlCId29f4ezJw0iIj4O2jg4cnYtjypzlsLYt2JmPZev0RnpaMo5tm4TU5HhYOvqg5UDp/nls5Bupa+r2eXH/fOdi6f55/U6z4F5BfL341OyGjIw0nNk7C8mf4mBi6YZWgzZAz1ixSx3UqeCDmPgErNlzAFGxCXCxtcSSsQMly62ERUr3CfcdP4/0jAyMXbxO6ji9WjZEn1Z/SH4+fvkGRCIR6lUqo9B4ZfncP1+7I1DSP184YYRU/1wo1T8/jfTsiSpf6tGmKXq1bQahUIhX7z7g0JmLiItPhK52Mbg52WHF3+PgYKO4mfxVqtVA3Bd1rYODI6ZMm5XTd4oIh+CLciCua//C1s3/SOravyZOlaprR42ZgM0b12PBvFlITEiAsYkpOnXpgQYNG0vSNG3WEulpaVi/ZiUSEhJg7+CAaTPmwNzcQnF5a9gLaanJCNo4GSmf4mHj7I2uf66Raveiw18j6Yv71ncv7mPD7Jz3Mh3eLp5Z7VW5GVr2ngUAaNt/AY7tXoTdq0YhOSkOekYWqNNqGMrWbJeveAujf14YalWugNi4eGzYvkfSR5w/eWxOWYmIkpqpH3T4BNIzMjBp7mKp43Rr2wI92iu2fZbnd7lvJaIcApHo559nnzRpEhYuXIjBgwdL1iS/fPkyli1bhuHDh2PatJ9fA/Ht43vfT/R/7nbJloUdgkJEn3z0/US/gBpmv/41pZ6W8P1EvwC1lLjvJ/o/l1SsYNY3/q9FKX+97v+vSF2YXNgh5JtaxqfCDkEhlLPSCzuEfEtT+m9mHBW0+4kF+6LG/4q9Tlhhh5BvRx8obrCqMGXmfZWA/xs1S0QWdggKce3V77EEZBuDE4UdQr5lqGoWdggKEanx669xfCfi96hrSxj9+u0eABilK+69BIVFMymisENQCO0y9Qs7hF/O9WoVCjuEX06Zs5e/n+gXk6dpVitXrsTatWvRvn17ybYmTZrAw8MDgwcPztMgORERERERERERERHRfy1PL+5MT09HmTJfP57m4+ODjAzFvDCEiIiIiIiIiIiIiKig5WmQvHPnzli5cuVX29esWYOOHTvmOygiIiIiIiIiIiIiov/CDy+3MmJEzgunBAIB1q1bh2PHjqF8efHbxa9cuYLXr1+jS5cuio+SiIiIiIiIiIiIiKgA/PAg+a1bt6R+9vHxAQA8e/YMAGBkZAQjIyPcv39fgeERERERERERERERERWcHx4kP336dEHGQURERERERERERPSfEgjztBo1/WZ4FRARERERERERERFRkcVBciIiIiIiIiIiIiIqsjhITkRERERERERERERFFgfJiYiIiIiIiIiIiKjI4iA5ERERERERERERERVZyoUdABEREREREREREVFhEAgFhR0C/R/gTHIiIiIiIiIiIiIiKrI4SE5ERERERERERERERRYHyYmIiIiIiIiIiIioyOIgOREREREREREREREVWRwkJyIiIiIiIiIiIqIiS7mwAyAiIiIiIiIiIiIqDEIlQWGHQP8HOJOciIiIiIiIiIiIiIosDpITERERERERERERUZHFQXIiIiIiIiIiIiIiKrI4SE5ERERERERERERERRYHyYmIiIiIiIiIiIioyFIu7ACIiIiIiIiIiIiICoNAKCjsEOj/AGeSExEREREREREREVGR9X8zk/xCZMnCDiHf0k8+KuwQFMKglmthh6AQCxbdKOwQ8s3RQauwQ1CIqOiMwg4h35SVf4/vFPV0lQo7BIXQ+Q2Kxuv3mYUdgkJoaf76ZeNTclZhh6AQI/Q2FnYICnFZuUNhh5Bv3Z+NLOwQKNs+3YWFHYJCtH80urBDUIh52jMKO4R8S039Pdpvn1KqhR1CvtVVPVXYISiE/+NahR2CQmhpmBd2CPm2eeWVwg5BIU7vKuwIiH5Nv/6dLRERERERERERERFRHnGQnIiIiIiIiIiIiIiKLA6SExEREREREREREVGR9X+zJjkRERERERERERHRf0kg5Bxi4kxyIiIiIiIiIiIiIirCOEhOREREREREREREREUWB8mJiIiIiIiIiIiIqMjiIDkRERERERERERERFVkcJCciIiIiIiIiIiKiIku5sAMgIiIiIiIiIiIiKgwCoaCwQ6D/A5xJTkRERERERERERERFFgfJiYiIiIiIiIiIiKjI4iA5ERERERERERERERVZHCQnIiIiIiIiIiIioiKLg+REREREREREREREVGQpF3YARERERERERERERIVBqCQo7BDo/wBnkhMRERERERERERFRkcVBciIiIiIiIiIiIiIqsjhITkRERERERERERERFFgfJiYiIiIiIiIiIiKjI4iA5ERERERERERERERVZyoUdABEREREREREREVFhEAgFhR0C/R/gTHIiIiIiIiIiIiIiKrI4SE5ERERERERERERERRYHyYmIiIiIiIiIiIioyPpl1yQXiUQ4HeiHG2d3I+VTPGycvdGo82QYmtnJ3eflo2u4eHg9Pry6j4TYCLQbvAzFvWtLpUmMi8Tx3fPx7P5FpHxKgK1LGTTsOOGbx81vPs7uX4qQ8+J8WDl5o2HHKTAwlf/3Lh5ajdCbxxD18TmUVdVh5eiFWi3/hKGZAwAgOSkWZ4P88PzBBcRHf4CmtgFcPWujWtOhUNfULpB8/AiDymXgMLIndL3doW5hgustByBs/8lCi0eW+mVVUaGkMtTVBHj5IRO7z6QiMk70Q/vW8lZBo4pqOBuShsALaQAAfW0BJnXVkpl+4+Fk3H6WqbDY5RGJRLhyxA/3L+9Gako8zO28UaP1ZOgZ28nd5+7F7bh7cTvio98BAAzNnOBbbyDsilct8Hi/pbqHEN7OQqirAG8iRDh4NRPRCT+2b6WSQtT2UsK/DzNx9EZWwQb6haruAng5CqCmAryNBA5fz0JMovz03k4CeDsJoJd92UTEARfuZ+HZB/HPulrAoMZKMvfdezEToW8UnAFkX0OHl+Lev7uRmhwPC3tv1Gg95ZvX0LXjq/HszjHEhD+Hsoo6zO28UKnxn9A3dZCkiY18jQtBc/D++Q1kZqTBtngVVG85EZraRgWSh9+lrv3VrymRSIRrx/zw8Ir4ejKz80bVFt+uk+5d2o77l7cjIUZcJxmYOsGnzkDYuuXUSQ/+3Ykntw4g4t0DpKcmoce0q1DT0FFs8LlUdRfA0yHnXBy58Z1z4Sg+F7q5zsXzj9LpLA2BaqWEsDAERCIgLAbYcS4LGQpuMnacu4lNp64iMj4JLpYmGNuqNkrZmn93v8M3HmLspmDUKOWExb1bSLafuP0Yuy+E4OGbj4j7lIKdo7vCzcpUsUFDfA0F71yJCyf2IflTAhxdPdG+z18wNbf95n5nDu/Asf2bEB8bBStbF7TtOQb2zqUAAJHh7zBhwB8y9+s9Yi58KtZFYkIsNiz5C+9ePUFSQiy0dQ3g4VsdzToMhoZmMYXnU8WjEtTK1IBAUxtZke+RfDoAWWGv5e+gpg71ig2h7OQBgZomshKikXo2CBkvHyo8th/1q+ZBJBLhfLC4zUhNjoeVozfqdfh2m3Hp8Go8unUM0dlthqWDF2q0yGkzch9/l19vPL9/Hi37L4eLZ20ZR8yfXbefY/PNp4j6lApnIx2MruYBdzN9mWn3P3iNqSduSW1TVRLi8sDGkp8/pWXA79IDnHn2AXEpabDQ0UQ7Twe0KmWv8Nh/RI3SQvg4C6GuCryOEOHAvz/eJ6zsLkQdbyVcfpCJI9f/uz5hHR9l+LopQUMVeBmWhcALGYiK/7H7jGqlldCgrAou3M3AgX8zJNubV1aGk6UQOpoCpKYDr8OycPhqBiJ+8P7lZ4hEIpwM8MP1M7uR8ikBNs5eaNJ1Moy+cZ/8IvQaLhzegPcvxfffHYb4oYSP9PU+oWtxmfvWa/snqjTsqcgsAAB2HzuLLcEnEBUXD2cbS/zZrQ1KOtnJTBt48iIOnr+C52/fAwDc7G0woG0TqfRl2w+Uue/gDs3QuXEdRYcv1694z/e5rr19QVzXWjp6o177b9e1l498XddWby6/rt29TFzXtuhXMHXtZ93bWOKPWiYopqWMe6EJWLTuBd59TJWbfvsyT5iZqH21PfBoGJasfwkAGNHbDt6ldGFkoIrklEzcf5SI1Vtf4837lILKBlGRl6dB8ubNm0Mg+HpRe4FAAHV1dTg5OaFDhw5wdXXNd4DyXDi0DleO+6N5r9nQM7bCqX1L4L+wFwbOOAgVla8rGwBIT02GmbUbvKu0xI5lg7/6vUgkwna/gVBSUkH7wSugpqGFS0c3YtP8Hhg04wBU1TQVno/LR9bi2kl/NOkxG3pGVjgbuATbFvdEv2mHoCwnH68eX0WZGh1hYVcKWVmZOB2wEFsX9US/aQehqqaJhNhwJMaFo3brMTAyd0Jc1Dsc3jIFCbHhaNV/qcLz8KOUtDQRf+cR3mzcizJ7lhdaHPLU9FZB1dIq2HYiBVHxIjQop4p+TTQwe9un7w5MWJsIUcFdBe8ipRPGJoowaUOS1LYKJZVRw0sVD18X/AA5ANw8tQ63z/mjTofZ0DG0wr+HlyBoVS90HHtQ7jVWTNcUFRuNhJ6xLUQiEUKvBeLg+oFoN3IfDM2d/5O4c6tUQohybkIEXspETKIINUoroVNNZSwPzkDmd+5vLAwF8HEW4mOM4m8YvqWCmwC+LgIEX8lCbKJ40Kt9dSFWH8qSG3PCJxFO3xYhOgEQCAAPOwFaVxZi3dEsRMYD8Z+AxYHS146XowDl3QSSQU9Fu3FyLULO+aNOx9nQNbTC5UNLELiqJzqNlV9PvXt2FR6VO8LURlxPXT64MHufg1BR00R66icEruwBY0s3tBi4CQDw76ElCF7bD22G7YJAqNgHnX6XuvZ3uKZCzqzD3Qv+qNl2NnQMrHD16BIcWNcL7f78Rp2kZ4ryDUdC18gWgAiPrgfiyMaBaD1sHwzMxHVSenoKrF2rwNq1Cq4cXqj4wHMp7yZAGefsc5EkPhftqgmx5rD8cxGfLMLpO9nnAkApe/G5WH9MfC4A8QB526pCXH4owrGbImSJAFM9AUQKrr6O3HyI+QGnMaFtXZSyNcfWs9fRf8UuBE3oBUNt2V/uAsC7qDgsDDwNb0err36XnJoOLwdL1PNyxdQdRxUb8BeOBW7E6UPb0HXQdBiZWGL/jhXwmz4Akxfvg4qq7Gvo+sWj2LNpATr0GQ8751I4dXAr/P4egClLg6CjawADQzPMWXtCap8LJ/biWNAmlPSqDAAQCIQo7VsdTdsNRDFdfUR8eIPt62ZhW2Iceg6brdA8Krt4Qr1qU6Sc2o3Mj6+h6lUVWs37IHHTbIiSZXwTI1SCVvN+yEpORPKBjchKioNQ2wCi1GSFxvUzfuU8/Ht0La6f8kejbuI249z+Jdi5tCd6T5HfZrx+fBU+1TvC3K4UsjIzcTZwIXYs6YneUw5+dQ9x7eQmcYVcQI49foeF5+/jr5oecDfVx7aQ5xgUdBn7OteCgabs+LVUlbGvcy3Jz7nDW3j+Hq69jcT0ej6w0NHEv6/DMfv0HRhrqaOaw/e/XFOkyiWFKFdciICLmYhNEKGmlxI611bG8qAMZPxAn7CMsxAfo//bPmG10kqoWFIJu8+mIzpBhLo+yujRQAWL9qR99z7DykiAcsWV8CHq68y9ixQh5Gk6YhMBDTWgto8yejZUxZwdqQpvN84fWod/j29By96zoG9khRP7lmLT/N4YMvOA3LpXfP/tCp8qLbDNb4jMNGOWnJP6+fGd8wjcMAEly9RVbAYAHL98A4v992Fsz3Yo6WSHHYdPY8jsZdi9YDIMdL+e4HDj4WPUq1gGHi72UFVRwebg4xg8axl2zJsAEwM9AMChlTOl9rkc8gB/r9mKmmW9FB7/t/yK93xXjq3FjdP++KPrF3WtX0/0nvztuta7WnZdm5WJc4ELsXNpT/SaLKeuRcG/jLFdU3O0aGCG2cuf40N4Cnq0tcbc8W7oNuIO0tNlF8R+4+5B+MWLIu1tNLBgYnGcuRwl2fb4eRJOXIhCWGQqdIopo2trK8yb4IYOA0OQ9d9WYURFRp5GIXR1dXHq1CncvHkTAoEAAoEAt27dwqlTp5CRkYGdO3eidOnSuHjxoqLjBSAezP73+GZUbdwPbt61YGbtiha95yAhJhyhN0/I3c/ZoypqtRyG4j6yv9GNCnuJt89uo1GXybB0KAUjcwc06jIFGWkpuPvvwQLJx9WTm1H5j/5w9awNUys3NOkxFwmx4Xh0S34+Ogxbj9KVWsDY0hmm1m5o3H024qPf48Or+wAAE0sXtOrvB5fSNWFgYgP74hVQvfkwPLlzClmZGXKPW9Aijp7D48mLERYkP2+FqVppFRy7noZ7LzLxISoL206kQEdLgFIO3/4uSVUF6FRXHbtOpSI515fFIpF4gOrLTykHZYQ8zUBaegFmRvL3RQg5uxm+dfvBoVQtGFm4ok6HOUiKD8fzu/LPg717TdiVqAY9Yzvom9ijwh/DoaKmiY+vbhd80HKUKy7EubtZePRWhPBYIPBSJrQ1ATfrb3d8VJSBFpWUEPxvJlLS/tveRFlXAS7cF+HxOyA8Dth/JQvaGoCrlfyYn7wHnn0AYhKB6ATgzF0R0jIASyPxPiIRkJQi/XG1EuDhGxHSC6B4i0QihJzbjLJ1+8OxVG0YWbihbse5SIr79jXUrN96lCjXAobmzjC2dEPtDrOREPMe4W/F9dT7FzeREP0OtTvMhpGFq/ja7DgHYW/u4c2TfxWeh9+lrv3VrymRSIQ75zfDp1Y/2LvXgqGFK2q2m4NP8eF4cV/+ubArURO2xcV1kp6xPco1GA4VVU2Evc6pk0pX6Qrvmn1galtasUHLUdZFgIsPRHjyXjwjPPjzubCUfy6efnkuEoGzn8+FYc4+tb2EuP5EhMuhIkTGi8/Zwzei734Z+LP8T19Hi4oeaFa+FBzNjTChTT2oq6og8N+7cvfJzMrCX5sPoH/DyrAy1Pvq943LlkS/BpVQztVOscF+QSQS4eTBrWjQsjc8y9aAlZ0Lug+ejtiYCIRcPS13vxPB/qhUuwUq1mwGC2tHdOgzASpq6rh0KhAAIFRSgq6+kdQn5Mop+FSsC3UN8U23VjEdVKvXBrZOJWFobAE3j3KoVq8Nnj68Jffv5pWadzWk3/sX6Q+uISs6DCkn90CUkQ6VkmVlplcpWRYCdU0kB29A5oeXEMXHIPPdM2RFvld4bD/qV82DSCTCtZObUalhf7h41oaJlRsadRe3GY9D5NdT7Yauh0fFFjC2ELcZjbqJ24yP2W3GZ2FvHv6PvbuOjuJ6Gzj+3U027u4uOMHdvYVCgZZSgSotLTVqtECpvZVfvaXQUqV4cSvu7u4hBEKAhLhvstl9/9iQZJMNkuySAs/nnD2Hnb0zuZeZuTZ37mX3mj+4f9inVRyp5qYfiOXBBsE8UC+YMHcn3uvaGBtLCxYfP1/lPgrAw96m9ONuZ2Pw++HLafStG0jzAA/8nOwY2CCESA8njiVlmC0dVWldV8nmw1pOJehIyoAFW0vqhEHXrxNaWcKgDhYs2VlM/m2uE7ZrYMn6AxqOn9dyJU3HnI1FONkpqBd8/ea4lSUM6apiwWZNpXYGwO6TxZy7oiM9R8elVB2r92pwcVDg6mDajkGdTsf2VX/Tud8L1G3aDZ+gaAaP+JzsjGROXKf9HdW4Iz0Gv0a95lWPqHZ08TT4nDywntC6rXDzCjRpGgBmLl/HgK5t6de5DWEBvox55hFsrKxYunGH0fAfj3qKwT07EhUSSIi/D2NHPKbPI46eKg3j4eJs8Nm07zDN6kXi7236NyOrcie2+a7ltW37GOa1OTfIa4e8Ui6vDajD/cNL8toLlfPaPWv/4D4z5rXXDL7Ph2kLEtm2N524C/l8NvEsHq5WtG9h/O0dgMxsDemZRaWfNk1dSLxSwKHjZa/ELFt3lcMnskm6WsiZc3n8MTsBbw9royPQRc0plEr53OLnblStVPn4+PDoo48SFxfH/PnzmT9/PmfPnuXxxx8nPDycEydOMHz4cN555x1TxxeA9KsXycm8Slj9tqXbbOwc8Q9vRELswWoft7hIP0VG+aeWSqUSC0srLpzZV+3jViUjRZ+O0LoV0hHWmItxN9/gUufrM1Jbe+frhMnB2sYBpcUdO8OOWbk7KXCyV3I6oWwoR0EhnE/SEuJz/dtkcCdrTsRrOH3xxiPDAzyVBHhasOv4beghB7JSL5KXfZXAqLJrzNrWEe/gRlyJP3hTx9Bqizm9fzlF6jx8Q2LME9EbcHEAR1sFcVfKeonURXAxRUeg5/UbAfe1sOBMopZzV25vY8jFHhxsFcQnlf1ddREkpupHit4MhQLqBSlQWepHChnj4wo+rgoOnjVP+rJSL5KXZewaaszl+JvPpwpL8ikbO30+VawpBIUCC0ur0jAWKmsUCiWX4kyb394tee3dcE1lp+nzpIBIw+vJK6gRSecP3tQxtNpizhxcTlFhHt7BMSaP4824di7OVTgXl1LB/ybbxAoF1AssORep+uPYWes7zPPUMKybklf7K3m8i5IAE7ezizTFnEi4QutyndlKpYLW0cEcPld1h+QvK7fj6mjHwDaNTBuhW5CSnEhWRgp1G7Uq3WZr70hoZEPiThtv1GuKirgQd8JgH6VSSd2GrYg7ddjoPufPHich/hTtug6oMi4Zackc2LWOyHrNqpeYqigtUHoFoEk4XW6jDs2F01j4hhjdxTKsAZrL57HpMgiH5z7E/vG3sGrRzayjla/rDk5DRspFcrOuElK+zLB1xC+0MYm3UGYUGCkzigrzWfz7G/Qc+j4Ozp6mi3Q5RcVaTiZn0jKw7PhKhYKWgZ4cuZxe5X75RcXc/+dq7vtjFaOX7uJsapbB74183dgcd4XknHx951bCVS5k5NA6yDzpqIqrAzjaKYi7bFgnTLx64zrh/a0sOHNRS9zl21sndHNU4GSnIDbRMM4JV3UEe1+/ndG/nYpTF7TEXrrxk1KVJTSPsiA1S0tmrmnTqG9/pxBev03pNhs7RwLCGpEQa7oO1ZzMFE4d2kSzjoNMdsxrijQaTp5LoEWDOqXblEolLRrU4ciZuJs6RoG6EI2mGCcH42+Yp2Zkse3AUR7o0tbo7+ZyJ7b5Mk2U15bWz+0M89olv79Bj0fMl9de4+tljburFfsOl+WZufnFnIjNoX7UzU2/aGmhoEcHD1ZsuFplGBtrJb27eHIpqYDklMIax1sIYVy1WvG///4727ZtQ1nuyYFSqeTll1+mbdu2fPrpp4waNYoOHToY3V+tVqNWGz4KLyq0qvI1rYpyMvWZh4OTYa+Ag5MHOZkpt5IUAx6+YTi7+7F23jf0G/4hKmtbdqyaSlb6FbIzqs6wqutaOuwrpMPe0Z3cm0yHTqtl9exPCYhoipd/lNEwedlpbFk2iSYdh9QswncxRzt9pTonz7BCmZOnLf3NmCaRlvh7Kvn2n5t7FbhVPRVX0rTEX7k98x/mZeuvMTsHw2vMzsGD3OzrX2Mpl04x7/uhaDRqVFZ23P/0RNx8IswW1+txsNGfg9wK06/lFoC9TdXnp36wAl83Bb+uuD1T25RnXzIAq3KcdTjYXn9fT2d4srsSSwso1MC8rWVTMVQUE6bgaqaOxFTjv9dU6TXkWOEacnQnL+vm86nNCz/FN7Qp7r76fMonJAaVlS3bl3xJm76jQadj27Kv0WmLycsybX57t+S1d8M1de16sq14PTl4kHeDPCn18ikWTBxKcUme1Hv4RNy8aydPut65sLepHL48T2cY3q3sXMzfVnYuXEqmtW5fX8H6QzqS0nU0DFHwaGclv668/nzntyI9N49irQ53R8NGvrujPeeS0ozus//sRRbuOMw/7zxpmkhUU1a6/jpxcjG8hhyd3cjKMH7R5mSno9UW4+RcYR8Xd64kxhvdZ9v6hfgEhBFeJ6bSb799O4ZDezZSVFhAo+adeGLkhFtPyHUobO1RKC3Q5RlOsKzLy8bCzcvoPkpnN5SBERSd3E/e4l9Runhg02UQKC0o3LXapPG7GXdyGnKzqigznG6tzFj7z6cEhDfFs1yZsfafzwgIa2LWeXEz8tUU63S4V5hWxd3Omvh045N2h7g68H73GCI9nMlRFzFtfyxPzd3C3Me64u2oL2De7tSQT9Yfos8fq7FQKlCiYFy3xjS92SeDJuJgW1Jnr5D/5hSU/WZMgxB9nXDK8ttfJ7xWRufkV2hn5OuuG+dGYUr8PRRMXHT9wTWt61rQp5Ul1ioFyRlafv+3yORvH11rYzs4V25/Z2eart52YOsirG3sqVfFm981kZGVQ7FWW2laFTdnR85fulLFXoYmzlyEh6szLct1tJe3fPMu7G1s6NIipqbRvSV3Ypsvp6q81tGd3FtoY6ydWzmvXTf3M/zDzZvXXuPmogIgPdPwPk3PLCr97Ubat3TFwd6SlRsr30v9e3rx/ONB2NpYcCExn7c+OYmmWOZaEcJcqtVJrtFoOHnyJFFRhh0FJ0+epLhYX/GwsbExOm85wGeffcaHH35osG3Q0+8z+JkPjIY/vGMpS6eWNUAee+3n6kT7hiwsVTwy6gcW/zGOz0e1Qqm0IKxeGyIbdkRHzTOiIzuX8O/0snQ88vIvNT7mipkfcvXSGYa/PdPo7+r8HGb/+DyefuF07Deqxn/vbtE0ypKHO5c1Hn5dduvzXbo4KHiwgxWTFxfc1GJqKgtoFmXJ6j3me/J7at9SNvxTdo31e67694qrVyiPvLmQwoJsYg+tYs3MMQwaNe22VJoahijo26psIcGZG269QeNkB72bWzBt3Y3nLDeF+sEK7mtelufN2Vz9P5qaDb+t0mKt0k8n06+VkunrK3dqWlro/+7WY6arKJ3cu8TwGhpR83xq47wPSb18hsGvluVTdg5u9HnyezbM/YCDW6ahUCiJano/ngH1qyw7btbdktfeDdfU6f1L2TS/7Fzc/3T18yQXz1Aefl2fJ509vIr1c8bQf+S029JRXj9YQZ9mZefiny01Oxe/ry45FwEK+rVUMn2D/lxc+wsHzuo4fE5/DpIO6gjxVtA4VMHGI7XTKMotUDN22nImDO2NaxWj58xl1+blzJzySen3l9790ex/s1BdwJ4tK7hv8Aijvz/05Jv0ffh5ki6dZ9GMH5g79SsefW6s2eN1XQoFurwcCtb9Azod2uSLFNo7Y9W8S610kldLLaXh6K4lrJxRlk89PKrmZcaqWR+ScukMj79VVmacObSO86d28vTYhTU+vqk18nWjka+bwffB09cz/2g8L7bRL6o4+/A5jl5J49u+rfB1smV/YipfbNTPSd4qyPiDD1NoGKqgX+uyOuGM9dWrE/ZpYcHfa248Z7kpxIQrebBDWefYXytvve7vbA/92qj4fcWN5yw/EFvMmUQtTnbQoZElj3ZT8fPSG+93PQe3L2XJXx+Ufn9i9OTqH+wW7NuygMZt+t704Lnbaeri1azZsY/J41/D2sp45+fSTTvo1a5Flb+byp3Y5ju2awkrZ5bF+aGXap7Xrp79IVcTjeS1J3fylJny2u7t3Rk9omzB4nc/O3Wd0Dfnvi6e7DqYQWp65Qdia7eksvdwJu6uVjzcz5cJr0cyavyxKuc6F0LUTLU6yZ944gmeeeYZ3nvvPVq0aAHAnj17+PTTTxk2bBgAmzZton79+kb3f/fddxk9erTBtsX7rYyGBYiO6YJ/WNmrvcUafUUjJysVR5eySllOVgo+gcZXx75ZfiENGPnRIgrysinWFGHv5MaUjx/GL6RBjY4LEBXTFf+wsrlSr03vklshHbnZqXgHGn86Xd7KmR9x5vBGhr01HSc3n0q/qwtymPX9s1jZ2PPQiz9hYWnewvpOcuychq+SymqOlhb6rgkHOwVZ5UaTO9gpuZRivIYZ4KnE0U7JG0PKhnBaKBWE+Slp30jFW5NzDRbMaRxhicoS9pw031QrofW74P1m5XslLycVe+eyaywvJwVPv+vfKxaWVrh4BgPgFdiApAtHObj5b7o+/JEZYm7o1EUdF1PKJkO2LGkb2dtATrnnGfY2kFTFYpy+bgocbBU8f19ZNqdUKgj20tEyWsknszQmXdDoTKKO31LLDmihLBfncqOd7G0UVcb5Gq2W0hGjV9J1+LnpF2tcsddwvzqBClQWcCTedAkJa9AVn3JzOpdeQ9kVrqHsVDz9b5xPbZz3EeeOb2TQy9NxdDHMp4LrtOfJ8WvJz0lDqbTE2s6J38a3w8njvhql4W7Ja++GayqkXhe8gyrnSfnZqdg7GeZJHjeRJ+kX7gTPgAYkJxzlyJa/6TTY/HnSmUT9XK+lcSl3LnIrnouMWzsXvuXOxbXzWvHhRUqWDqeq19K8Za72dlgoFaRm5xlsT83OxcPIop0JKRlcSsvklSnzy9JRkoE2fe1LFo99lkDPqufdrInGLToTGtmw9Lum5BrKykjF2bXsFerszDQCQoy/5eHg6IpSaUFWpuFI8+yMVJxcKo+C3b9zLYWFBbTu1Nfo8a7NWe7jH4q9gzNfjX+K+wePMIhPTejyc9Fpi1HYGY52VNg5os01PhJYl5uNTltM+YJNm56E0t4JlBagvb2jZ++kNEQ27opfaOVyLzcrFYdy5V5u1s2VGatmfUTskY08/uZ0nFzLyoz4kztJv3qBb15vYRB+wc8vExjZnMfemFbDlOi52FpjoVCQmmf41m5qnhoPuxu86lJCZaEk2tOZi5n6xecLNMX8tP04X93fkg6h+jRFejhz6mom0/afNWsn+akEHYnl6oTX8l+HCnVCBxuqXKDdz72kTti3rE5ooVQQ7K2jZR0lH88wbZ3w+AUtCQvKOsYtSuqxDrYKssuNJnewVRhdjBPA30OJo52Clx8sNy2dUkGIr4I29S0Y90fZwpzqIlAX6UjNggvJRUwYZk39ECWHzlb/iUDdJl0JDC8rvzUldamczMrtb9+gmrW/r4k/tZeUy+cY8qJ5Ft92cXLAQqkkLdMwD0rLzMbdxem6+05ftpapS1Yz8b2XiQz2NxrmwMlYzl9K4v9eedpkca7Kndjmi2jclafL5bWaqvLa7FS8Am6c164uyWsfe8Mwrz1/aifpKRf4drRhXrvwl5cJiKh5XrttbzrHz5S92mel0mdKrs4q0jLK2vmuzipi4/Mq7V+Rt4cVTRs5M+GrM0Z/z80vJje/mMQrao6fzmHJn83o0NKN9dvM9BqxEPe4anWSf/vtt3h7e/O///2PpKQkQD9P+euvv146D3nPnj3p3bu30f2tra2xtjZ8OqyyqrpmYm3rgLWtQ+l3nU6Hg7Mnccd3lBbKBfk5JJ49TIsuQ6uTpEpsSir1qVfiuXTuKF0fNL4a962wtnHA2qZyOuJP7sCnJB3q/BwS4w7RrFPV6dDpdKya9TGnDqzhiTen4epZeVETdX4OM797BgtLK4a8NLnK1aHvVeoiUGeWv+Z0ZOVqiQqw4FKKvkJprYJgbyXbjxrv1D5zsZgvZhoWfEO7WZOcrmXd/qJKle1W9VQcO1dc6fV8U7KyccCqwjVm5+hJwukdePrrr7HCghySzh+mYdtbvFd02tIKmLkVaqCwwrQC2fk6wnyUJKXrz4+VCgI8FOw9bbwBcO6KjklLDc9d/7YWpGTCtmPFJm0MVRXnnHz9CNBrnWZWlvq5o/fH3tqxFYqyBlZ5MWEKTl+CPCMLOVWX0WvIyZOEMzvwDCjJpwpySDp/iEbtrp9PbZr/MWePrGHQqGk4u1e9+JKtg370WsLpHeTlpBJWv2uN0nC35LV3wzVVVZ50MXYHHuXypOQLh6nf5tbyJF0t50nXzkVyuXPhV91zUdLpk5mrX+zZvcIUlm6OCs6acA5dlaUFdQN92HX6PF0bRQKg1erYdeo8j3RsWil8qLc788Y8ZbDtp+VbyFUX8vbAbvi4Xr9zoSZsbO2xsS3ruNfpdDi5eHDyyG4CQ/WN6Py8HM6dOULHng8ZPYalSkVQWF1OHtlNTEt9/qLVajl5ZDed+zxSKfy2dQtp1Lwzjs5ulX6rSKfTl0FFRSa8FrXFaJMvYhkYiebs0ZKNCiwDIyk8tNXoLsWXzqGq0xT9+wj6a0Xp4ok2J/O2d5ADd1QajJUZ9k76MsM7sKzMuHTuEE1vUGasnv0xpw+u4bHR03DxMCwz2vQeQUx7w2v0t4/60e3hd4ls1MVk6VFZKKnj5cyehKt0CfcF9A+19iRc5eHGoTfYW69YqyM2NYv2wd4AaIq1aLQ6lBXe9LJQKkofmJlLoUa/gHF52Xk6wnyVXEkvq7P7eyrYU0WdMO6yjp+WGNYJB5TUCbeao05YBKkVRnlm5emI8FdyOa24NM6Bngp2Hjce59hLWr6dZ1gYD+6k4mqGjk2HbtCprwBLZc3eyrO2tce6Qt7r4OzB2eM78Q0ua39fjDtMy66V89Hq2Ld5Pn4h9fENunEHaXWoLC2pExrInqOn6NxC31mr1WrZe+wUD/XsVOV+fy9Zw5+LVvLDu6OoFx5cZbglG7ZTJzSIqOAAk8e9ojuxzXcreW2TjtfPa9eU5LWPGslrW/caQeN2hnnt7x/3o9tD7xJhgrw2v0BLfkGFh5DphTRt6MTZ8/q+ATtbC+pGOLB4ddINj9e7iycZmUXs2F/1mhHXKBT6j8qyltYbEeIeUK1O8sLCQl5//XXGjh1LVlYW8fHxrFu3jnr16mFR0uoOCgoyaUTLUygUtO4xjM1Lf8bdOwRXD3/WL/wBR1cv6jQtm3fqr/89Sd2m3WnV/XEA1AW5pCVfKP09/epFLl84ga29My7ufgAc27MSO0dXnN38SL54mhUz/486TbsR0aC9WdLRstswti6fjJtXMC4eAWxc/D2OLl5ENylLx/SvhxPdpActuurTsXLmhxzdtYyHX5qElY196Xy71raOqKxs9J023z5NUWE+/Z/5EnVBDuoCfeveztENpdJIz8htYGFvh31E2XVhFxqAU+M6FKZlUpBwuVbiVN6mQ0X0aG7F1Qwtadk6+rSyIitXx5G4stErI/vbcCSumK1HilAXwZU0w4ptoUY/J23F7R7O+hHmvy41Yw+5EQqFgphOw9i75mdcPENwcvNn54ofsHfyIqxh2TW2cNKThDXsTuMO+mts+7KvCa7bEUdXXwoLcjm9fxkXz+6m//O/3db4l7frhJYODZSkZuvIyNHRpbEF2XlwMqGslfBENwtOJujYc1pLoQauZhoeo0gD+Wpdpe3msvuUjnb1FaRl68jIhU4NlWTn60fKX/NoFyWnL+rYe0a/rXMjfWdYVp6+061+sIJgL5i10bA15OoAQZ4we5N53xtWKBTEdBzGntWTcfEMxsktgJ3/fo+9s+E1tOCn4YQ36lF6DW2c9yGn9i2j77OTUFnbl87xam3jiKWVfiTb8V3zcfUOx9bBjSvxB9i84FOadHoSV+8wk6fhbslr7/RrSqFQ0KjDMPat+xlnD32etHvVD9g5eRFav+xcLPnlSUIbdKdhO/252Pnv1wTV6YiDiy9F6lzOHFjGpbjd9H22LE/Ky7pKXnYKmSn6cj718mmsrO1xcPXFxs7F5GnZfVpHu3oK0kvORccGJecisdy56Kzk1EUd+2JLzkVDBWev6MjK1T/oqx9Uci42le2z85SODvX1ne9JGfrpp9wdYcE20/biPNGlOeOn/0v9QB8aBPsyfeNe8guLGNBKP2p77LTleDk78OoDnbBWWRLpZzhK2tFWfx+X356Zm8/l9CyuZurvg/hk/fzmHk72eDg5YAoKhYJu9z/Givm/4uUbhIeXP0tm/4SLqycxLcsav99+MIKYVl3pUtIJ3r3fE/w1cTzB4fUIiWjA+uUzKFTn07ZLf4PjJ1++QOyJ/Yx6b2Klv31k/xayM1IJjmiAtY0tlxPOMn/ad4TXicHDy/jIwupS79+Ebc+hFCclUHzlAlZNO6FQWVF0fDcANj2HosvNQr1tOQCFh7dj1bg9Np0HUHhwK0oXD6xadKfw4BaTxuteSINCoaBFt2Fs/1dfZjh7BLC5pMwoP7/tzG+GE9WkB8276POpVbM+5PjuZQx+0XiZ4eDsaXQBOWc3v0qdPDX1eJMIJqzZT11vFxp4uzLz4FnyNcU8UE9fD39/9T487W15uV09AKbsOkVDH1cCXezJLpmT/EpWHgPq68M7WKto5u/O91uPYW1pga+jLfsSU1l+IoHXO9T8bdtbtfOElo4NlaRm6UjP0dE1pqROeKEsnxzew4ITF3TsPqWvEyZnGB6jUAN5al2l7eay7aiGrk0sScnUkZato2dzS7LydBw/X1bmPnufimPxWnYcL6awqPLbkkVFkFegK93u5qigUZiSM4lacvJ1ONsr6BxjSZEGTiaY9sGSQqGgba9hbFzyM+7ewbh6BrBuwQ84unhRt1z7+48vnqJe0+607vEYUNL+TqrQ/j5/AluHsvY36Dvcj+5eRZ+hb5s03hU9en83Ppz8N3XDgqgfEcLsFevJV6vp26k1ABMmTcXL1YWXhurLhqlLVjNl7nI+HvUkvp5upGToGxF2NtbY2ZS9mZGTl8+6XQd49bGBZo1/Ve7ENl9pXruiLK/dsuR7HCrktbO+HU5UTA+aleS1q2d9yPE9yxg08tbyWicz5LXXzPv3Ck8M9CfxcgGXk9U8/UgAKemFbN1T1vH99fg6bNmdzqJVZR3nCgX07uzJqk0paCtUv329rOnS1p29hzLIyNLg6W7F0AF+qAu17DqQYZZ03OsUNXy4KO4O1eok79+/PwMHDuSFF15Aq9XSs2dPVCoVKSkpfPPNN4wcOdLU8ayk/X3PUlSYz9K/3qcgL4ugqGY8PvpXVOVG8aUnXyAvpyxjuhR/lL++GF76fdXszwGIaTeAB5/V/zs7I5mVsz7Xv/bj4knjtv3p9ID50tOm93MUFuazfJo+HYGRzRj66m8GoxHTryYYpGPfxlkATPvqCYNj9XvyMxq3G8jlC8dIPKdfZXzSWMNFT0Z9tg4XD/M/3TbGuVkD2qwre72p3lfvAZDw9wIOP/NurcSpvPX7i7CyVPBwF2tsrRWcu1zML0vzDebz83BWYm976x1ILeuqyMzRcerC7R/N1bSr/l7Z8M/7qPOz8A1txgPP/2pwjWWmXKAgt+way89JY82Md8jNuoq1rSPuvtH0f/43gqLb3fb4X7PtuBaVJfRrZYGNFVxI1jF9veF8426OCuxs/jvzs+04qUNlCfe1UGJjBQlX9R2Q5ePs6gC25QYf29vAA62VONjo33hIzoBZG7WcqzAQoXGYgqw8iLu5dYZqpFm359AU5rN+jv4a8gtrRv/nf6twDSWQXy6fOrJNn08tmGiYT3Uf+hn1WukbEOnJ59i+7BsK8jJxcvOneY8XaNL5SbOk4W7Ja++Gayqmsz5P2jTvfQoLsvAJaUbfZw3zpKzUynnS+tn6PMnKRp8n9X32NwKjyvKkYztns3fNT6XfF0/WN6a6PPwpdVqYvtG686QOK0vo07zsXMypcC5cHKD82nl2NtCvVYVzsUlLfLlzsee0DksldG+iP+61MBm5po1/76Z1Sc/JZ9K/W0nJyiU6wItJIx/CvWRelyvpWZVGjd7IxqOxvD9jRen3d/5aCsALvdsy8j7TDTboOeBJ1Op8ZvzyMXm52UTUacLL4yYZzGF7NSmBnKyya6h5u15kZ6WzdPZksjJSCAiJ5uWxkyotALp9/SJc3L2p27hNpb9rZWXD1rULmPvXV2g0Rbi6e9OkVTd6PfhUpbA1pTl9kAJbB6zb9EZh54Q2JZG8RVPQ5ekfQCidXNGWWy9Hl5NB3qJfsO44APvH30SXk0nhwc0U7l1v8rjdrDs5Da17PUdRYT4rppeUGRHNePgVwzIjo0K5d2CTvsyY8bVhmXH/8M9o1Pb2dpz1jPInPV/NzztPkpqrJsrTiR/7t8a9ZLqVK9n5But/ZKsL+WT9QVJz1TjZqKjj5cIfD3UgzL3sLZFPezdn4vbjjFu1j6yCQnyc7HixTV0GNwy5rWkD2HqspE7YplydcK3hfOOu/7E64aZDxVhZKhjYQYWNFcQnaflzZZFBO8PdSYn9LcS5qFhHiI+Sdg0ssbXWTz9z7oqWyUsKzfLmaof7nqVQnc/ivybo29+RTRn+5hSDvDct+QK55e6LxHPH+OPzsvb3illfANCk/QAGPfdZ6fYjO/8FdDRqfb/pI15OjzbNSM/KZsq8ZaRmZBMV7M/3Y14qnW4lKSXdoOxbsGYLRRoNY74z7DR+dtB9jBhcFtc1O/ah0+no1a65WeN/PXdim69Vz+coVOezcoY+rw2IaMaQl69fPz+wWZ/XzvzGMK+9b9jtz2uvmb34MrbWSt54PhQHO0uOnMzmnU9PGcwb7udtg7OTYfdbs4bO+Hhas2JD5QU7C4u0NKzjyKD7fHB0sCA9o4jDJ7J5edxxMrI0lcILIUxDodPd+gtmHh4epXOO//bbb/z4448cOHCA+fPn8/7773PixIlbjsjs7f+dSkx1FWnujidPbt2iazsKJrH22321HYUaCw8z4SS0tSg17c4vyC0tlbUdBZNwca6dN0lMzZTzM9eWC5dqYQoEM7C3u/Pvjbz827CS220w2uWv2o6CSezwe7S2o1BjzdbV8kKeotSCGPPMb3y7DT5m3hG2t8uXjv9X21GoMbX67ii/mzWsek2wO0VPq9p7EGhK0650q+0omIS97Z3fH/L35F21HQWT2PBPq9qOwh3n5EM9azsKd5w6c++QxeFvQbVatnl5eTg66ifMXL16NQMHDkSpVNK6dWvOnz9v0ggKIYQQQgghhBBCCCGEEOZSrU7yiIgIFi1aREJCAqtWraJnT/0Tl+TkZJyczLd4kxBCCCGEEEIIIYQQQghhStXqJH///fd58803CQkJoVWrVrRpo5+3cfXq1TRp0sSkERRCCCGEEEIIIYQQQgghzKVaC3cOHjyY9u3bc/nyZRo3bly6vVu3bjz44IMmi5wQQgghhBBCCCGEEEKYi0J558+pL2quWp3kAD4+Pvj4+Bhsa9myZY0jJIQQQgghhBBCCCGEEELcLtWabkUIIYQQQgghhBBCCCGEuBtIJ7kQQgghhBBCCCGEEEKIe5Z0kgshhBBCCCGEEEIIIYS4Z0knuRBCCCGEEEIIIYQQQoh7VrUX7hRCCCGEEEIIIYQQQog7mUKpqO0oiP8AGUkuhBBCCCGEEEIIIYQQwmx++uknQkJCsLGxoVWrVuzevfu64b/77juio6OxtbUlMDCQ119/nYKCArPFTzrJhRBCCCGEEEIIIYQQQpjFnDlzGD16NBMmTGD//v00btyYXr16kZycbDT8zJkzGTNmDBMmTODEiRP8/vvvzJkzh/fee89scZROciGEEEIIIYQQQgghhBBm8c033/Dcc8/x1FNPUa9ePX7++Wfs7Oz4448/jIbfvn077dq149FHHyUkJISePXsydOjQG44+rwnpJBdCCCGEEEIIIYQQQghxU9RqNVlZWQYftVptNGxhYSH79u2je/fupduUSiXdu3dnx44dRvdp27Yt+/btK+0Uj4uL499//+W+++4zfWKuxclsRxZCCCGEEEIIIYQQQghxV/nss89wdnY2+Hz22WdGw6akpFBcXIy3t7fBdm9vb65cuWJ0n0cffZSPPvqI9u3bo1KpCA8Pp3PnzmadbsXSbEcWQgghhBBCCCGEEEKI/zCFUsYQ36p3332X0aNHG2yztrY22fE3btzIp59+yqRJk2jVqhWxsbG8+uqrfPzxx4wfP95kf6c86SQXQgghhBBCCCGEEEIIcVOsra1vulPcw8MDCwsLkpKSDLYnJSXh4+NjdJ/x48fzxBNP8OyzzwLQsGFDcnNzGTFiBGPHjkVphgcb8qhECCGEEEIIIYQQQgghhMlZWVnRrFkz1q1bV7pNq9Wybt062rRpY3SfvLy8Sh3hFhYWAOh0OrPEU0aSCyGEEEIIIYQQQgghhDCL0aNHM3z4cJo3b07Lli357rvvyM3N5amnngJg2LBh+Pv7l85r3q9fP7755huaNGlSOt3K+PHj6devX2lnualJJ7kQQgghhBBCCCGEEEIIsxgyZAhXr17l/fff58qVK8TExLBy5crSxTwvXLhgMHJ83LhxKBQKxo0bR2JiIp6envTr14//+7//M1scpZNcCCGEEEIIIYQQQgghhNmMGjWKUaNGGf1t48aNBt8tLS2ZMGECEyZMuA0xK/mbt+0vCSGEEEIIIYQQQgghxH+I0kJR21EQ/wGycKcQQgghhBBCCCGEEEKIe5Z0kgshhBBCCCGEEEIIIYS4Z0knuRBCCCGEEEIIIYQQQoh71n9mTvKW3nG1HYUasyrOr+0omMTX3+6r7SiYRPfXm9V2FGqs/a6fajsKJmGtPVPbUaix4sSLtR0Fk7Bwi6jtKJiETmtT21GoOS9NbcfAJBTZmbUdhZpzta/tGJjE2NhHajsKJjEqIrG2o1BjT8a9WNtRMAlL1X+mqVBtk7tvr+0omMRLSaNrOwomMdnhs9qOQo0pA/1qOwomobYKqe0o1Nik2C61HQWTeF3xTW1HwSQ0bpG1HYUae7DZ6tqOgom0qu0ICHFHkpHkQgghhBBCCCGEEEIIIe5Zd/7wECGEEEIIIYQQQgghhKgGhVJR21EQ/wEyklwIIYQQQgghhBBCCCHEPUs6yYUQQgghhBBCCCGEEELcs6STXAghhBBCCCGEEEIIIcQ9SzrJhRBCCCGEEEIIIYQQQtyzpJNcCCGEEEIIIYQQQgghxD3LsrYjIIQQQgghhBBCCCGEELVBoZQxxEJGkgshhBBCCCGEEEIIIYS4h0knuRBCCCGEEEIIIYQQQoh7lnSSCyGEEEIIIYQQQgghhLhnSSe5EEIIIYQQQgghhBBCiHuWdJILIYQQQgghhBBCCCGEuGdZ1nYEhBBCCCGEEEIIIYQQojYolIrajoL4D5CR5EIIIYQQQgghhBBCCCHuWdJJLoQQQgghhBBCCCGEEOKeJZ3kQgghhBBCCCGEEEIIIe5Z0kkuhBBCCCGEEEIIIYQQ4p4lneRCCCGEEEIIIYQQQggh7lmWtR0BIYQQQgghhBBCCCGEqA0KpaK2oyD+A2QkuRBCCCGEEEIIIYQQQoh7lnSSCyGEEEIIIYQQQgghhLhnSSe5EEIIIYQQQgghhBBCiHuWdJILIYQQQgghhBBCCCGEuGfdsQt3Ll26lHnz55Oenk5YaCgjR44kOjraaNjz588zbdo0zsTGkpyczIgRI3hwwACDMHPmzGHb9u1cvHgRKysr6tWty9NPP01AQIBZ07Fo+Qr+WbCYtPQMwkNDePn5Z6gTFWk0bPz5C/w1Yzanz8aRlHyVF599ikH9+1YKdzU1lV//ms7ufftRqwvx9/XhrVdfIjoywqxp6d3Sijb1LbGxVhB/uZi5G9WkZOpuat9uTVX0bWvNpoOFLNpaCICro4L3h9sbDf/XinwOnS02Wdxvllv75oS98QzOTRtg4+fF3kEvkrRk3W2PR1Xmrt7E9KVrSc3MIjLInzeffJj6ESFGwy5at43lW3YRd/ESAHVCg3hxyAMG4VsOfcnovi8/OoAn+vUwdfRLzd56iKkb95KSnUeUnwdjHuxCwyCfG+634sApxkxfQZf6YXz39ANGw3w8bx3zdhzhrf4debxjU1NH3cCcg7H8vfc0qbkFRHk683aXJjTwdTMadsmxeD5Ytddgm5WFkp2vDjTYFpeaxQ9bjrD/4lU0Wh1h7k582a8Nvk52ZktHRbM372Pqul2kZOUS5e/FmME9aBjid8P9Vuw7zpi/ltClYSTfjRh0G2JaZvaG3Uxds43UzByiAnx455E+NAw1nr+v23+c31ds4cLVNDTFWoK83BjWoy19WzcuDRPz/AdG931tYA+e7NXOHElg9sa9TF2zg9SsHKICvHlnSC8ahvgbDbvuwEl+X7nNMA3dW9G3VaPSMHkFhXy/aD0bDp0iMzcff3cXhnZpwUMdm5kl/qXp2H6YqZv26+9vXw/G9O94c/f3wdOMmbmKLvVD+W54Wdk3fs4aluw7aRC2bVQQk5/tb/K4X8+deF9c06uFitb1LLG1VnDuspb5m2++/O7aRMX9bazYfKiIxdsKDX4L9lbSp5UVQd5KdDpITNEyZWkBGhMX30uWLjOoE7448oUq64Tx588zbdr00jrh8yOeq1QnXLZ8OcuW/0tyUhIAQcHBPDZ0KC1aNDdtxI145D43erRxws5WyclzBUz55yqXrxZddx83ZwueeMCDpvXssFIpuJJSxMQZyZxNUAMwpI8b7Zo64OFiiaZYx9kENTOXpXLmvNosaXi4lwvdWjtgb6vk5Dk1v81P5UqK5rr7uDpZ8HhfV2Lq2GJtpeBKioZJs1OIu6i/plo2tKNHG0fCAqxwtLfgra8vcf5S4XWPWRPzV6xjxuIVpGVkEhESxOhnHqNeZJjRsIvXbGLlpm3EXUgEIDoshBceG2QQ/rc5i1i7dRfJqWmoLC2JDgvh+UcHUj8q3GxpuObBrg50bmaLnY2SMxcKmbo0i6S0qm/CAV0ceLCLg8G2S1c1vPtjCgAeLhZ8PdrT6L4T56Sz55hpr6s5e08xddcJUnPyifJ25Z2ezWng52E07JLDZ5mwbKfBNisLJbveGVr6/efNh1l1/DxXsnNRWVhQ18eNUZ0a09Df+DFNYfaW/Uxdv6esfBjUjYbBvjfcb8X+E4yZuowuDSP47tkHS7evPXSaudsOciIhicy8Aua8NYw6Ad5mi/81d0s7A6BDfQUxYQqsVXAxFVbt05KeU3X4JuEKmoYrcC5pmqZkwtbjWuKuGIbzd4eODZT4uYNOB0kZMGez1uTl3uydx5i69RApOflE+bgxpm87GgZ43XC/FYdjGfPPerrUDea7x3qVbs9TF/Hd6l1sOHGezLwC/F0dGdqmAQ+3rGfaiFfwz9pt/L1iE6mZ2UQG+vL24wNoEB5kNOz6vUf4Y+l6EpJT0GiKCfLx4PHenbi/nb7eWqQpZvL8lWw9fJLE5FQc7GxpVS+Clx++D09XZ7OlwapJR2xadUNh70RxciL5a+dSfPl8leEV1rbYdOyHKqoxChs7tFnp5K+bhybuuP54Me2xbtIBpbO+zViccoWC7StKfxdCmNcd2Um+adMmpvz6Ky+PGkV0nTosWrSIcePH8+uUKbi4uFQKX6BW4+PrS/sOHZgyZYrRYx45epR+ffsSFRVFcXExf02dytixY/nll1+wsbExSzo2bNnGz7/9xWsvPU+dqEgWLFnGO+9/zF8//4irS+WMvEBdiK+PNx3bt2Xyb38aPWZ2Tg6vvj2WmIYN+PyDcTg7OZF46TKODg5Gw5tK16YqOjZWMXNtAalZOvq0suKFB2z5fGbeDSsFgV5K2jRQkZhiGDAjR8f7f+QabGtT35IuTaw4ceH2d5ADWNjbkXX4FAl/zaf5vJ9qJQ5VWbNjH99NW8CYZx6hfkQIs1ds4JXPJzL36wm4OTtWCr/vxGl6tW1Oo6hQrFQq/l66hpc/m8jsL8fh5eYCwL+TPzXYZ8fB43wyZQZdWzYxWzpWHjjFV0s2M25wVxoG+TBjywFGTlnI4neG4+5YdUdwYlom3yzdQtMw452GAOuOxHLk/GU8nYw/fDGlVacS+GbTYd7r1pSGvm7M2H+GlxZsYeFTvXCzM56nOFhZsuCp3qXfK66vnZCRwzNzNtK/QQgvtK2HvZWKuNQsrC1v30tBK/ed4KuF6xk3pBcNg/2YsXEPIyfNYfH4Ebg7Vv3/mpiawTeLNtA03LwPHo1ZtecoX89bxdhH+9Iw1J8Z63by4g/TWfzhKNycKueNTva2PHtfR0J8PFBZWrD58GkmTF2Em6M9bevrHzau/d8bBvtsPRrLh9MW071pXfOkYe8xvp6/hrFD++jTsH43L/4wi8UfjMTNyPXsZG/Ds33aEeLtgcpSyeYjsUz4e6k+DfX0nTJfzV/DnlPx/N9T/fFzd2HH8Tg+m70CT2dHOjeOMks6Vh48zVdLtzBuYJeS+/sgI39fwuK3Hsfd4Xr3dxbfLN9K01Djnc7tooP46OHupd+tLCxMHvfruRPvi2u6NFHRoZGKWevUpGVr6d3SihF9bfjf7PybKr9b17fkUkrlgMHeSp7ra8P6/UUs3KJGqwM/d31nuSlt2rSZX0vrhNEsWrSIsePH81sVdUK1Wo2Prw8dOrTnlym/Gj2mh4cHTz/1JP5+fuh0sHbdWj78+GMm/vgDIcHBpk1AOQ92d+H+js78MCOZ5NQiht7vxviRfrz66QWKNMb/4+xtlXz6WgBHz+Tz8eRLZOUU4+ulIie/7JxcSi7kt7lXSUotwkqlpF8XZ95/0Y+XPj5PVo7WpGno38WJPh2c+GnWVZLTNAzp7crYEd6M/t+l66bh45d9ORabz6e/JpGVq8XXw5Lc/LK4WVspOHmugB2HcnnhYfN1ZgKs3baLH/6azVvPD6N+ZBhzlq3h9Y+/ZtaPn+Hm7FQp/IFjJ+nevjUNoyOwUqmYvuhfXvvoK2Z89394ursCEOTnzRvPPo6ftyfqwiLmLFvFax9/zT8TP8fVyDFN5b729vRoZcevCzNJSS9mYFcH3hzmynsTUyi6znOLi0lF/G9qeun3Ym3ZuUvNLOaV/yUbhO/c3JY+7ew5fMa0Dy5WHY/n63X7Gdu7JQ38PJi55yQvzt7Aouf74WZfRV3KWsXC5/uVfq9Ylwp2d+SdXs0JcHFArSlm+u6TvDh7PYtfeKDKY9bEyv0n+WrhRsY93IOGIb7M2LiPkZPnsnjsMzcoHzL5ZtFGo+VDfmERTcIC6NWkDh/OXmXyOBtzt7QzAFrXUdA8UsGy3VoycvWd2kM6Kvl1pZbiKrLE7DwdGw/rSMvRX1MNQhQMbqfkjzVaUrL0Yfzd4eEOSnac1LHmgA6tDrycFSYv91YeOctXK3Yw7oEONAz0Ysb2I4z8618WvzYEdwfbKvdLTM/mm5W7aBpceWDCVyt2sDvuEp8O7oKfqyM7Yi/y6dKteDna0bluiGkTUGL1roN8M2sp7w0fRIPwIGau2sKor35jwRdvV1E/t+Ppfl0J9fPC0sKCLYdO8OFv/+Dq5EDbhtEUFBZy8nwizz7QnaggX7Jz8/lyxmJe/+4vpn/4qlnSoKrTFNuuD5K/eg6aS/FYN++C/cMvkf3rR+jyjDx1UVpgP2QUurxschf9ji47A4WzG7qC/NIg2uwM8jctRpt+FVBg1aAV9gNHkP3X52hTrlQ+pjAZhVIm2hC3MN3K4cOHb/pjbgsXLqRP79707NmT4KAgXh41Cmtra1avXm00fHRUFM8+8wydO3VCpVIZDfPJxx/To0cPgoODCQsLY/To0SRfvcqZM2fMlo55i5ZyX6/u9O7elZCgQF578Xmsra1Zucb4yOQ6URE8//RwunZsX2U6Zs9biKeHB2+/Noo6UZH4+njTvGkMfr43HqVXE50aq1i9t5Cj54q5nKpl5toCnOwVNAy7/nMYKxU83tOGf9arya8w8ESn01dIyn8ahllyMFZD4fUHVZnN1VWbOT3hO5IWr62dCFzHzOXrGNC1Lf06tyEswJcxzzyCjZUVSzfuMBr+41FPMbhnR6JCAgnx92HsiMfQ6XTsOXqqNIyHi7PBZ9O+wzSrF4m/t/kaqNM272dg6wYMaFmfcB93xg3qho3KkkW7j1W5T7FWy3szVjKyV2sC3Iw3NpMyc/h84UY+fawPKgvzF4Az9p3mwQah9G8QQpi7E2O7N8XG0oLFR+Or3kmhwMPepvTjXqGx9tO2o7QL9eG1jo2o4+VKoIsDncL9qux0N4dpG3YzsE1jBrRuRLivB+OG9MbGSsWiHVXn/cVaLe9NXcrI+9oT4O5y2+J6zbS1OxjYvikD2jUh3M+LcY/11cd5+wGj4VtEh9K1SV3CfD0J9HTjsW6tifT35kDshdIwHs6OBp+Nh07SIiqUAE/jbwrUOA3rdjGwXRMGtI0h3NeTcUPvK/l/P2g8DVEhdI2pQ5ivhz4NXVuWpCGhNMyhsxfp17oRLaJC8Hd3YXCHpkT5e3M0PtEsaQCYtuUgA1vVZ0CLeoR7uzFuYBf9/b2n6tExxVot781azcgeraq8v60sLfBwtC/9ON3GewLuzPvimo6NLFm7r5Bj8cVcTtUxa50aJ3sFDUKv/6DByhIe627N3I1q8owMHO3fzoqtR4pYf6CIpHQdVzN0HDpbXGUHRHUtWLiQ3r1707Nnj3J1QhtWXadO+NwN6oStW7WiZYsW+Pv7ExDgz5PDh2NjY8PJkyeNhjeVvp1cmLc6nT1Hcjl/qZAfpiXj5mxBy0ZVd6Q92N2VlAwNE2cmE3tBTXKahkMn80kqN3J7y74cDp/OJylVQ8KVQv5cmIK9rQXBftYmT8N9HZ1YsDaDvcfyuXC5iImzruLqZEmLBlU/BOvf1ZnUDA2T56RyNqGQq2kaDp8uICm1fBpymb8mkyOnC0we54pmL13NA9070rdrB0ID/Xn7+WFYW1uxbN0Wo+E/eO15BvXuSlRoECEBvrw78im0Oh17j5Tlaz07tKFF4/r4+3gRFuTPK08OJTcvn7PnL5o1Lb3a2LF0cw4HTqpJSNIwZUEmLo4WNK1z/TyyWAuZOdrST05eWS+fTmf4W2aOlmZ1bdh9tAB1oWl7A6fvPsnAmAj6Nw4n3NOZsX1aYmNpwaJDZ6+7n4eDbemnYqdhn/qhtA71JcDVkXBPF97o3owcdRFnkjNMGvdrpm3cy8C2jRjQuiHhPh6Me7invnzYebTKfYq1Wt6btoyRfdoR4F554FS/FvV5oXdbWkWZ76FdRXdLOwOgRaSCbSd0nLkEVzNh2W4tjrYQ5V/xkUqZ2Mtw9gqk50BaDmw+qqNQA37uZft0i1GyL1bHzpM6UrIgLRtOXtSZvNybtu0wA5vXYUCzaMK9XBn3QAd9XWrfqSr3KdZqeW/uekZ2bWa0LnXwQhL9mkTRIswPf1dHBreoS5SPO0cvXjVt5MuZvnIzD3ZqxQMdWxDm7817Tw7ExkrF4s27jYZvXjecrs0bEurnTaC3B4/27EBEoC8HT58DwNHOlklvj6Bnq8aE+HrRMCKYd554kBPxF7mcmm70mDVl3aIrhYe2U3hkJ9rUK+Svmg1FhVg1bGM0vFWjNihs7MhdMIXixDi0WWkUJ8SivVpW99acPYom7jja9Kto05Mp2LIUXaEaS79Qs6RBCGHopnuKYmJiaNKkCTExMdf9NGli3ie/RUVFnImNJSYmpnSbUqkkJiaGEyZsvOTl6kcwOzpWfjJuCkVFRZyOPUvTxmWvviuVSprGNOL4qdPVPu723XuJjgjnw8+/YtDjT/H8q2+yfNUaU0S5Su5OCpzslZxOKBu1VFAI55O0hPhc/xIb3MmaE/EaTl+88cjwAE8lAZ4W7DpeSz3k/2FFGg0nzyXQokGd0m1KpZIWDepw5EzcTR2jQF2IRlOMUxWjOVMzsth24CgPdGlrkjgbU6Qp5sTFZFpHBpZuUyoVtI4K4vD5y1Xu98vqXbg62DGwVQOjv2u1OsbOXMmTnZsR4eNu8nhXVFSs5URSBq2Cy157VCoUtAr25vDl1Cr3yy/UcN+v/9JnynJeX7yNsymZpb9pdTq2xl0h2NWBF+dvodvkpQybuY4Nsebr0KyoSFPMiYQrtI4OKd2mVCpoHR3C4et0rP6yYhuujnYMbNO4yjDmUqTRcOLCJVrVLXvtXalU0qpOGIfjbtw5odPp2HUijvikVJpGGm+MpmblsPXIGQa0N0/5V6Qp5sSFy7SqU1Y5VioVtKoTwuG4G59/nU7HrpPnStJQ9gpr4/AANh4+TVJGlr7heiqe88lptKlnfEoBk6QjMZnWERXu78hADp+vemTML2t34+pgy8CW9asMs/dsIp0//I0H/jeNTxZsICM3v8qwpnYn3hfXuJWW32Ut+IJCuJCkJdjn+p3kAztacfx8MWcuVm79O9hCsI8FOfk6Xh5owwdP2vFifxtCb1AnuFXX6oRNKtQJm5iwTlhcXMzGTZtQFxRQt6553hQB8Ha3xNXZkkOn8kq35RVoOXNeTXRI1R2aLRrac/aCmjef8uHP/wvhq7cD6d6m6pHJlhbQs60zuXnFxCeadloMLzdLXJ0sOVyuIzu/QEfsBTVRwVV3yDevZ0tcgprXh3ny6weBfDHal26tzPsGZFWKijScOhtP80Zl+Y1SqaRFo3ocPR17U8coKFSjKS7GycH4w42iIg2L12zEwc6WiJBAo2FMwdPVAhdHC46dLRvdna/WEZdYRESg8QdE1/i4W/Ddm558+ZoHzw9yxs256ns3xNeSYF8Vm/ebNt8tKi7mxOU0WoWUDfRRKhS0CvXhcGJKlfvlF2roM3EhvX9cyGtzN3H2asZ1/8aCA2dwsFYR5e1iwtiXHP9a+VCuM1tfrw3mcPylKvf7ZeV2fb22TaMqw9xOd0s7A8DFHhxsFcQnlT3QURfBpVT9SPCboVBA3UAFKktITNUfx84a/N0V5BbAE12VvPKAksc6KwkwcX9/kaaYE5dSaF3uDQOlUkHrcH8OJyRVud8vG/bjam/LwOZ1jP4eE+TNppPnScrKRafTsTvuEudTMmkTYZ433Yo0Gk7GJ9Kyftk0s0qlkpb1IzkSW/VUJdfodDp2HzvD+cvJNI2uut6ak5+PQqHA0a7qEfbVprTAwicQzfnyDyd0aOJPYelvvENbFdGQ4kvnsO0xBKdRn+L49HtYt+6pv6iMUShQ1W2GQmWFJvGc6dMghKjkpqdbOXfuv3FTZmVlodVqcXV1Ndju6uLCxYSEKva6NVqtll9++YV69eoREhJikmNWlJmVXZIOF4Ptri7OJFysfqfX5StJLFmxisED+vHoQwM5dSaWiVP+wNLSkl7dutQw1sY52ukz9fKjTPTftaW/GdMk0hJ/TyXf/nNzlepW9VRcSdMSf8XEj+PvAhlZORRrtZVed3RzduT8pZt7LWvizEV4uDrTsoHxytPyzbuwt7GhS4uYmka3Sum5+RRrdZWmVXF3sONccprRffbHJbJw9zH+Gf1Ylcf9c8MeLJRKHu0QY8roVikjX02xTldphLebnTXxaVlG9wl2dWRCr+ZEejiToy7i732neWr2BuYO74m3ox1peWryijT8ufsUL7arz6sdGrI9/gpvLtnBlIc60SzQ+PygppSem6c/PxWm93B3tOdckvHO//1nE1i48zD/vPOU2eNnTHpOSZwdDTtc3J3sib9SdSM7O7+Anu98TVFRMUqlgvcevZ829YzPHbtkx0HsbKzo1sQ8HWilaaj4/+7kQHwV/+9QkoZ3vy9Lw9A+tCn3sGDMw734aMZyer37A5ZKJQqlgvcfu59mVTwMqHE6rnt/Gx/hs//cJRbuOc4/rw01+jtA2+hgujUIx9/NiYTUTH5cuYMX/1jCtJcewuI2vDZ5J94X1ziVlNHZ+Ybld3a+rvQ3Y2IiLAjwtOC7ecbLbzcn/f97zxZWLN1eyKUULc2iLXmhvw1fzs6/6fnOb+RandClQl3KxcWFhBrWCc+di+f1N96gsLAQW1tbxo8fR3CQ8XlSTcHFSV8lz8yuMPVctgZXp6ofWHi7W9KrvRNLN2Qwf00aEUE2PDPIA02xjo27s0vDNatvx+gnfbBWKUjPKubDSZfIzjVtfcqlJJ4V05CZXVz6mzFe7ip6tFWxfFMmC9dlEh5oxVMPuqEp1rFpb26V+5lDRna2vj7lYvigwc3ZmfOJN1efmjRtLh6uLgYd7QDb9h7k/W9/pkBdiLurM99NeBMXJ/MMxgFwdtDfh5kVptTJyiku/c2YuIuF/LqwiCspxTg7KhnQ2YGxz7gzdmIKBUZGindsZkdisobYBNMOYknPK6lLVXirzt3ehvjUKupSbk5M6NuaKC8XsguKmLbrBE/+vZp5z/XFu9zaLZvPXGTMom0UFGnwcLDl56HdcDXDG0hVlnuO16nXnr3Iwp1H+Oft4SaPT3XdLe0MgGuXU26Fl1Jy1TpuNNuOpzMM66rE0gIKNbBgm5Zrl6JLSRWgQ30F6w7pSM7Q0SBEwdBOSn5bdf35zm9Fel6B/pqq8IaEu4Mt51IyjO6zP/4KC/ed4p+Xql73ZEzfdny0aDM9/zcDS6UChULBhAEdaRZ647nzqyMjO5dirRZ35wr1c2cH4i8nV7EXZOfl0+e1TyjUaLBQKhkz7EFaNzA+RaC6sIgf5vxLr9YxONia/v5W2DmgUFqgzc022K7Ny8LS3fgaAUoXd5TOURQe30Pu3MkoXT2x7TkELCxQb1tRFs7DD8cn3gBLSyhUk7vwV7SpMtWKELfDTXeSBxuZg/H48eNcuHCBwsKyEQoKhcJo2PLUajVqtbrSNmtr07/2WR0/TZpE/PnzfPXVV7UdlVum0+mIigjn2WH6DsPI8DDizyewdMVqk3WSN42y5OHOZefq12W3PnLExUHBgx2smLz45hbwUllAsyhLVu8x3yJN97Kpi1ezZsc+Jo9/DWsr46OLlm7aQa92Lar8vTbkFhQydtYqJjzUDdcq5uA7npDEjC0Hmf36oyiqekr/H9DYz53GfmVDWBr5uTPor1XMPxzHi+0aoCuZ0LBzuB+PN9NXBqO9XDh0KZV5h+NuSyf5rcotUDP272VMeKQ3rteZb/q/yN7aijnjXiBPXcjuk+f4au4q/D1caRFdeWTI4m0HuK9lI6yrmLqhtthbWzPnvef0aTgVz1fz1uDv4UKLqBAAZm3cw5FziXw/8mF83ZzZH3uBz2avxNPZgdZ1zTOa/FbkFhQydvYaJgzqiqt91SOA+sSUNY4ifT2I8vXg/i/+Zu/ZRFpFmm+UZnXV5n3RNNKCweXK79+W3/rUFS4OCga0t+aXpVXPWa4syWp3HCtiz0n9lBmJKYVEBljQsq4l/+78778RFhDgz6SJP5Kbm8uWrdv4+utv+N//vjBZR3nH5g48P6TsbaP/+6XqUaXXo1AoOJtQwIxl+g63cxcLCfK1olc7Z4NO8qNn8nnjiwScHJR0b+PMG0/5MObri2TmVH+Nl/ZN7RkxuKzc+uy3qkcxXo9SAWcvqpm1IgOA+MRCgnys6NHG8bZ3ktfU3wuWs3bbbn768J1K9aWmDeoy9asPycjOYcmaTYz/ejK/fj7e6Dzn1dGmkQ1P9is71jczqje9QPl5xROSIO5iOl+P9qRlA5tKo8VVltC6oQ1LNpmoB7CGGgd40jjA0+D7oClLmXfgDC91Kntrp0WwD7OfuY+MfDULDsby9sItTHuyt1nmJL8VuQWFjJ3+LxMe6XXH1ZuupzbbGfWDFPRuVlb//2dr9R8OpmbDH2u0WKsgOkBB35ZKpm/Ud5Rfa2IciNNxJF5fZ086qCPES0GjUAWbjph4YvKblKsuZOy8DUwY0AHX61zfs3Ye5fDFZL5/vBd+Lg7si7/Mp0u34eloR2szjSavDnsba2Z9/Dp5BWp2H4/lm1lL8fd0p3ldw4EsRZpixvw0HR3w7vCBtRNZYxRKdHnZ5K+cBTodxUkJKB1dsG7ZzaCTXJuWRPafn6GwtkUV3QS7+58gZ+b30lEuxG1QrYU74+LiePDBBzly5AgKhaK08+ZaB1Rx8fUr3J999hkffvihwbZXXn6ZV1+98YIKTk5OKJVK0tMNK37pGRm4utV8LthJkyaxe/duvvzf//D0MN98aM5OjiXpyDDYnp6RiVuFEVG3ws3VheBAw4IsKNCfzdt3VrHHrTt2TsNXSWXn2NJCf94d7BRklRtN7mCnNLqYF+inTnG0U/LGkLKODwulgjA/Je0bqXhrcq7BIieNIyxRWcKek//9hnVtcHFywEKpJC3T8El2WmY27i7Xb3xNX7aWqUtWM/G9l4kMNr7o5YGTsZy/lMT/vfK0yeJsjKu9LRZKBanZeQbbU3Py8DCyuFFCagaX0rJ45Y8lpdu0JRdO07e+Z/E7w9l/LpG0nDx6f/J7aZhirY6vl2xhxuYDrBj3jMnT4WJrjYVCQVqeYQdUWp660jzjVVFZKKnj5UJCRm7pMS2VCsLcDc9nqJsjBy9VPZrYlFzt7fTnJ8uw0yI1OxcPI4tHJqRkcCktk1emzCvdVnp+Xv2CxeNGEOjpWmk/k8bZoSTO2YYN+NSsXDycq36dX6lUEuSl7/ypE+jLuctX+WPl1kqd5PvPnCc+KZUvnnvI9JEvUZqGiv/vWTl4GFnY6BqlUkGQl75crBPow7nLKfyxcjstokIoKCzix8Ub+Ob5h+jYUP+qa1SAN6cSkvh77U6zdJJf//6u3BmQkJbJpfQsXvlrWem20utnzEQWv/UEgUbmag1wd8bV3oYLqZm3pZP8TrovjsUXc35OWSeXZcngXkdbBdnlym9HWwWJqcY7EvTlt4LXH6pcfrdraMk7v+SRlVvSQZBueIzkdC2u1xnBequu1QkzKtSlMjIycHWr2f+hSqXCz0+/UGxkZCSnz5xm0eLFvPryyzU67jW7j+RyOr5stLvKUl+Xcna0ID2rrO7k4mjJuYtVT4uSkaXh4hXDAQQXkwpp3dgwb1AX6riSUsSVFDgdn8zEcUF0a+PEgjXVn6d177E8zpwvi1v5NGSUG03u7GhBfGLVgxzSs4q5mGRYv7uYVESrRre/k9DF0VFfn8owHKmclplZaXR5RTMXr2D6wuV8P+Eto9Oo2NpYE+DrTYCvNw2iwnn4pXdYtm4zwwb2NUncD5xUc/ZiWX1AVVI/d3ZQGowmd3Kw4MLlm69P5xXouJJajLdb5bcBWtS3wVqlYNtB009x5WpXUpeqMOQ3NbcA9+s8OC1PZaEk2tuNhHTD+rGtlSVBbo4E4Ugjfw8emLyEhYdieaat8Wn7qqvKci+7inptSrq+fPh1Qem20vLh9a9YPPYZAj3MW28y5k5uZ5y5pONSWln5dm1ZInsbw9Hk9tYKkjKu35Gt1VI6IvxKug5fNwUtIhWs3Kcjp+RY5WZK1H/P0uFswqzM1c5Gf03lGN5zqTn5eBh5sJKQlsWljGxemV62wGvpNfX+ryx+dQieTnb8sGYP3z7ak47R+gfBUT7unLqcytRth83SSe7iaI+FUklqZoX6eWYOHkYWgr1GqVQSWDJnfXSwP+cuJfPnsvUGneT6DvJpXE5N5+cxz5tlFDmALi8HnbYYpb0j5Xs8lHZO6HKNv+2iy8lEqy2mfEdHceoVlA7OoLQAbcmRtMVoM/RvvBYnJWDhG4R18876Oc+FEGZVrU7yV199ldDQUNatW0doaCi7du0iLS2NN95446ZGX7/77ruMHj3aYFvixZtbuEalUhEZEcHBQ4do21Y/Z5lWq+XgwYM80K/fDfaumk6nY/LkyWzfsYMvPv8cHx/zLnSpUqmIigjnwOEjtG/TCtCn48Chwwy4v0+1j9ugbh0SEg1HI11MvIy3l+lGmaqLQG3wqrSOrFwtUQEWXErRV8KtVRDsrWT7UeOV8DMXi/lipmGFcWg3a5LTtazbX1RpFfBW9VQcO1dc6dU4oaeytKROaCB7jp6icwv9SBmtVsveY6d4qGenKvf7e8ka/ly0kh/eHUW98KrfAFmyYTt1QoOICjbvSAKVpQV1A7zYdSaBrg0jAP184rvOJPBIu8rz9oZ6uTHvzccNtv20Yju56iLeHtAJHxdH+jarS6tIw5F/I6cspG+zugxoWc886bBQUtfbhd0XkukSoW8QaHU6dl9IZkiM8Sk7KirW6ohNyaJdqE/pMet5uxJfoaF3IT0HXyMdjOagsrSgbqAPu07H07WxfvSuVqtj1+nzPNKhaaXwod7uzHvX8CHET8s2k6su5O1B3fFxNc3ouevH2ZK6QX7sPnGOrjF1S+KsZffJOB7p0vKmj6PV6SjUaCptX7htP/WCfIkONF+ZobK0oG6QL7tPnaNrTLQ+Plodu0/F80jn5jd9nPJp0BRr0RRrUVZ4u0KpVJQ2nkxNZWlBXX8vdsVepGsD/X2g1erYFZvAI20rz7sa6unKvNGPGmz7adUO/f39QEd8qnjIkZSRQ0ZeAZ5yX1SiLgJ1keH5zcrVEhmg5FJqWfkd5K1k+7Gqy+8vZxuW30O6WpOcrmPDgUJ0OkjL1pGZo8XLRQnlmo6ezgpOXKj+yOWKyuqEB2nbVr9I1rU6Yb9+pul4vEan1VFUZLoH9QVqHVfUhsdLz9TQKMqutEPZ1kZBZLA1K7dmGjsEACfiCvDzsjLY5udpxdX068dVqVSUdmpXV4FaR4HaMF9Mz9LQMNKG85dK0mCtICLImtXbs40dAoBT8QX4eRqOHvXztORqeuU819xUKkuiw0PYd+Q4nVrp71+tVsvewycY1KdblftNX/QvU+cv49vxb1A34uYWV9PqdBQWmS6NBYU6CtIqTtdTTL0wKy5c0f8dG2sFYf4q1u/OM3YIo6ytFHi5WrA9u/KDs45N7ThwSm3wkM1UVBYW1PV1Y1f8FbpE6x86aHU6dsdfYUiz6Js6RrFWS2xyBu0i/K4bTqfTUaQx/XSOZeXDebo20j+QvmH58M6TBtt++ncruQWFvD2wKz436JA2lzu5nVGogcIKLzrk5OtHeCeXdIpbWYKfO+y//nqwlSgo63TPzIXsPB0VxrLg5qgg7orp7g+VpQV1/TzYFZdI13ohQMk1FXeJR1pVXrsl1MOFeS8PNtj209o9+rrU/W3xcbZHrSkuqRMa7qtUKNBqzVUntKROiD97jsfSpVmDknRo2XM8loe73/y89Pp7tywfvdZBnpCUwi9jXsClirUhTEJbTPGVBCyDoyk6c22hdgWWIVGo9202uosmMQ6res3RXz36/1ulqxfa7MyyDnJjFAoUFtXquhO3QFHxJhD3pGrdaTt27GD9+vV4eHigVCqxsLCgffv2fPbZZ7zyyiscOHDguvtbW1tXmlol5RamWnnwwQf5+ptviIyMJDoqikWLF6NWq+nRowcAX331Fe7u7jz1lH6uz6KiIi5cuACARqMhNTWVs2fPYmtrWzpK6KdJk9i4cSPvv/8+tra2pKXpX1u1t7c32zQwgwf044tvfyQqIpw6UZHMX7yMggI1vbp3BeDzb37Aw92NZ4c/XpqO8wkXS9ORkppKbNw5bG1s8PfTzxc2qH8/Xnn7PWb8M5/O7dty8nQsy1et4fVRL5glDddsOlREj+ZWXM3Qkpato08rK7JydRyJKyu0Rva34UhcMVuPFKEugitphpXRQg3kFugqbfdw1o9Q+3Vp7feQW9jbYR9R1uFqFxqAU+M6FKZlUpBQ9cKSt8Oj93fjw8l/UzcsiPoRIcxesZ58tZq+nVoDMGHSVLxcXXhpaH8Api5ZzZS5y/l41JP4erqRkqFvhNvZWGNnU/bEPScvn3W7DvDqY7fnVbUnOjZl/OzV1A/0pkGQD9M37ye/sKi0Q3vszFV4Odvz6v3tsVZZEulr+MaHo63+fr223cXSFpcKI45UFko8nOwI8ar52ydVeaxZFBNW7qGetyv1fdyYuf8M+UUaHqgfAsD4FbvxcrDl5Q4NAZiy4zgNfd0IdHEgW13E33tPczkrlwcbljW2hzWPZszynTT196B5oBfb46+wOe4yUx6uuoFiak90acn46cuoH+RLg2Bfpm/cS766kAGt9Z2cY/9eipeLI68+0Fl/fvwMH9CVnh+/2zc9zBPd2zD+r4XUC/GjQYg/M9btJL+wiP5t9QttjvtzAV4uTrzyYHcAfl+xhXrBfgR6ulKoKWbr0TMs33mY9x673+C4OfkFrNl3nDcG9zR/Grq1YvzUJdQL8tWnYf0u8tVF9C9Z9HHcX4vxcnHklQH68uP3lduoF+xLoEdJGo7FsnzXEd4bqn8I62BrTbPIIL5dsA5rK0v83JzZe+YCy3Yd4Y1BPcyXjg4xjP9nLfUDvGgQ6M30rQfJL9QwoHnJ/T17NV7ODrzap63++qmw0K6jTcn1U7I9T13Iz2t2071hBO6OdlxMzeTbf7cR6O5C22jzzK1uNF134H1xzebDGro3syIlU0dqlpY+LfXl99FzZY21Fx6w4Uichm1HNSXlt2GjubCoZLRpue0bDhbRq4UVl1K0JKZoaVHHEi9XJVNXmXaxyIEPPshX5eqECxcvpkBdQM+SOuGXX32Nu7s7Tz/1JFC5TphipE74x59/0aJ5czy9PMnPy2fDxo0cPnKE//v4Y5PGvaJlmzIY3MuVy1cLSUrVMPR+N9Iyi9l9uOwthQ9e8mPX4VxWbNGX2cs2ZvDp6wEM6uHKtgM5RAZb06OtEz/P0c/pam2lYHBPV/YczSU9sxhHBwv6dHDGzdmC7QdMP0XGv5uzGNjdmcspRSSnanikjyvpWRr2HC3rlB3/gje7j+Sxapu+43z55iw+ftmXB7s5s/1gLhFB1nRr7ciUeWWjou1tlXi4WuJWMre5n5e+CZORXVxpDvSaeqRfTz758TfqhIdQLzKMOctWU6BW07drewA++uFXPN1cGPm4/g2iaQuX89vsRXzw2vP4enqQmq4/N7Y21tjZ2pBfoGbq/KW0b9EEdxdnMrNzmL9yHSlp6XRt08Kkca9o1Y48HujkQFJqMVfTixnYzYGM7GL2nyyrU7/9pCv7j6tZW9Jx/kgvRw6cKiA1Q4uLo5IHuzqg1cHOI4YjV73cLIgOVvHN9Oq/jXAjj7esw/tLd1DP150Gfu7M3H2S/KJi+jfSv+00bsl2vBxteaWLvjz/ZcsRGvl7EOiqr0tN3XlcX5dqrB94kV+o4bftR+kUGYCHgw0ZeWr+2Xea5Ow8etQ1z5oDT3RuzvgZ/1I/yIcGQb5M37RXX68tWWx+7PTleDk78mq/jjddPmTm5nM5PYurmfq8Ib5kXQ8PJ/vrvmFWE3dLOwNgzxkdbespSMvRkZkLHRsoyc6H04llZdjQTkpOJ+rYF6vf1qmhgrjLOrLywEoF9YIUBHvB7M1l++w6paN9ff2I9OQMaBiiwN0RFm43bUfzE+0aMX7+Rur7edIgwJPp24/or6mS6RjHztuAl5M9r/Zsqb+mvA3bO6V1qZLtKksLmof48s3KXVhbWuJbMt3KsoNneLNPG5PGvbzHe3dkwq9zqBsaQIOwQGau2kK+upAHOujzxfd/mYWnqzMvP3wfAH8sXU+90AACvNwp0mjYeugky7fv491h+munSFPMOxP/5uT5RL57/WmKtVpSSt4KcnawQ2Vp+k5m9Z712N3/BJorFyi+HI918y6gsqbwiP4tfrv7n0CbnUnBZv1bz+oDW7Bu2hHb7oNR79uE0tUTmzY9Ue/bVHpMm44PUBR3DF1WOljZYFWvOZZBkeT+M8nk8RdCVFatnKK4uBhHR/1rMB4eHly6dIno6GiCg4M5derUDfauuU6dOpGZlcX0adNIS08nPCyMjz/6qHQxz+SrV1GUW6wrLS2NUeVej50/fz7z58+nYcOG/O+LLwBYvnw5AO+8847B3xr9+uulne+m1qVDOzIzM/lrxmzS0zMIDwvl8w/HlU63knw1xWAO5dS0dJ5/9c3S7/8sXMI/C5fQuEF9vvnsIwDqREXw4Xtv8/vfM5g2ey6+3l68+NxTdO/c0SxpuGb9/iKsLBU83MUaW2sF5y4XV5qv1MNZib3trY/SaFlXRWaOjlMmHH1WXc7NGtBm3bTS7/W+eg+AhL8XcPiZd2srWgD0aNOM9KxspsxbRmpGNlHB/nw/5qXS1yCTUtINRo0uWLOFIo2GMd/9ZnCcZwfdx4jBZZ2Ba3bsQ6fT0avdzY9YrYneTaJJz81n0qodpGTlEe3vwaTnBuBe8lrqlYysSiMd/ot6RQeSnqdm8vbjpOYVEO3pzMSB7UunW7mSnWdwPrLUhXy8Zj+peQU4Wauo6+3Kn0O7GEyv0jXSn/e6N+XP3af4csNBgt0c+bJfG5r4m29qqIp6N6tLek4ek5ZvISU7l2h/Lya9OKR00cIr6VmVRifXtl4tGpCek8vkJRtIycohOsCHSa88jntJQ/JyWqZBXpuvLuTTWctJTs/CWmVJiI8H//f0QHq1MHwNe+Weo6DT0btlQ/OnoXl90nPymLxsEylZuUQHeDPp5aE3SMMKkjOyy9LwVH96NS8bZfTFMwP5YfF63vtjMVl5+fi6OTPqgc481LHy6DZT6R0Tpb+/V+/SXz9+nkx65oHSRc2uZOTc0vWjVCo5fSWVJftOkl2gxsvJnjaRQbzUqzVWlpWnBjCXO/G+uGbDgSKsLGFwZytsrRScu6xlyjLD9ULcnRTY295a/Lcc1qCyUNC/vRW21goup2r5ZUkBqVmm7Szo1KkjmVmZTJs2nfT0dMLCwvikUp2wfF0qjZdefqX0+/z5C5g/fwENGzbkyy8+ByAjM4Mvv/6a9LQ07OztCQ0N4f8+/pimTZuYNO4VLVybgbWVkhce8cLeVsmJuAI+nnyJIk3Z/5mPhwonh7JrO/aCmi9+u8zj/dx5qLcryaka/liQwua9+g5wrRb8va3o3NIJJwcLsnOLib1QwLjvE0m4Yvp1XhZvyMLaSsnzgz2ws1Vy8lwBn05JMkiDt7sKJ/uyNJxNKOSrP5N59H5XBvVwITmtiKmL09i6v+zhQPMGdrz0SFlZ9/oT+vnc567KYO7qDJOmoXu7VmRkZvPr7EWkZWQSGRrEN+NG4+ain94pKSXV4H5euGoDRRoNY7/6yeA4Tz/cn2eHDECpVHI+8TL/btxGZlYOzo4O1IkIYdIn7xIWZHz6CVP5d2su1lYKnnzACTsbJWcuFPLVtHTKD2D3crXEwb7szQNXJyUjB7vgYKckO1fL6QuFfDwltdJo8Y5NbUnP0nL0rPnWC+pVL0Rfl9p8iNTcAqK9XflpSJfSRQuvZOUanIvsgkI++ncnqbkFONlYUdfHjb+G9STcU3/ulEoF8SlZLD28mYx8Nc621tT3deePJ3oS7uliljT0blpHXz78u62k/PZi0guDy5UP2bdcPmw8epb3Z5bNX/zO1KUAvNC7LSP7tDNd5Mu5W9oZADtP6lBZQJ9mSmysICEF/tmspbhcM9XFAWzLjZOzt4a+rZQ42OjfykrOhNmbtcSXW4phzxkdFhbQPUZ/3OQMfZgMEy+t0LthuL4utW4vKTl5RPu6M2n4fbg7VK8uBfDFkG58v3o3785dT1a+Gl8XB0b1aMFDLc2zKD1Az1YxpGfl8vOCVaRmZhMV5MePbz6Le8l0K1fSMgzK7wJ1IZ//vZDktAysrVSE+HrxyfND6dkqBoCr6ZlsOnAcgKHjvzX4W7+MeaHSvOWmUHRyP/l2Dti2vx+FvSPFyYnk/vMTujz9Q2Clk5vB1Cq67Axy/pmEbbeBOD79LtrsDNR7N6LetaY0jMLeAfu+w1DYO6FTF1B8NZHcfyahiT9p8vgLISpT6HS3/l51hw4deOONNxgwYACPPvoo6enpjBs3jilTprBv3z6OHj16yxGJO3uL7zf9B1kVm34+vtrw9eqQ2o6CSXR/vVltR6HG2u/66caB7gDWl87UdhRqrDjx5qaE+q+zCI2o7SiYhM6qdhfXMgnt7Z9KwBwU2VVPBXHHsDXj67i30djYh2s7CiYxqlftvpllCm98X9sxMA1L1Z3/evfkp6q3KOp/zeh/an9BZVOYHD6ltqNQY0rv60/fcqdQe4XUdhRqbFJsl9qOgkm8rviutqNgEprAyNqOQo1pNq2u7SiYhMs7E2s7CnechBcH1XYU7jiBk+bXdhRMrlo133HjxpGbq38k+tFHH9G3b186dOiAu7s7c+bMMWkEhRBCCCGEEEIIIYQQQghzqVYnea9evUr/HRERwcmTJ0lLS8PV1dXgdW8hhBBCCCGEEEIIIYQQ4r/MZO9QurmZbwE8IYQQQgghhBBCCCGEMLXy6xqKe5dcBUIIIYQQQgghhBBCCCHuWdJJLoQQQgghhBBCCCGEEOKeJZ3kQgghhBBCCCGEEEIIIe5Z0kkuhBBCCCGEEEIIIYQQ4p4lneRCCCGEEEIIIYQQQggh7lmWtR0BIYQQQgghhBBCCCGEqBUKRW3HQPwHyEhyIYQQQgghhBBCCCGEEPcs6SQXQgghhBBCCCGEEEIIcc+STnIhhBBCCCGEEEIIIYQQ9yzpJBdCCCGEEEIIIYQQQghxz5JOciGEEEIIIYQQQgghhBD3LMvajoAQQgghhBBCCCGEEELUBoVSUdtREP8BMpJcCCGEEEIIIYQQQgghxD1LOsmFEEIIIYQQQgghhBBC3LOkk1wIIYQQQgghhBBCCCHEPUs6yYUQQgghhBBCCCGEEELcs6STXAghhBBCCCGEEEIIIcQ9y7K2IyCEEEIIIYQQQgghhBC1QaGUMcRCRpILIYQQQgghhBBCCCGEuIdJJ7kQQgghhBBCCCGEEEKIe5Z0kgshhBBCCCGEEEIIIYS4Z0knuRBCCCGEEEIIIYQQQoh7lnSSCyGEEEIIIYQQQgghhLhnWdZ2BK5xyk+u7SiIEuFh9rUdBZNov+un2o5CjW1t9VJtR8EkYo7Nq+0o1JgqTF3bUTAJtcqutqNgEmqlbW1HocbsJr5X21EwCd3IOz8d1oU5tR0Fk+jiYV3bUTAJx/yrtR2FGhswqE1tR8EkirW1HYOaK7JMr+0omETnLj61HQWT0NrG1HYUau7UwdqOgUkovIJrOwo11qKOprajYBJJdn1rOwomka+48/sRgtreHW0+cesUSkVtR0H8B8hIciGEEEIIIYQQQgghhBD3LOkkF0IIIYQQQgghhBBCCHHPkk5yIYQQQgghhBBCCCGEEPcs6SQXQgghhBBCCCGEEEIIcc+STnIhhBBCCCGEEEIIIYQQ9yzL2o6AEEIIIYQQQgghhBBC1AaFUsYQCxlJLoQQQgghhBBCCCGEEOIeJp3kQgghhBBCCCGEEEIIIe5Z0kkuhBBCCCGEEEIIIYQQ4p4lneRCCCGEEEIIIYQQQggh7lnSSS6EEEIIIYQQQgghhBDinmVZ2xEQQgghhBBCCCGEEEKI2qBQKmo7CuI/QEaSCyGEEEIIIYQQQgghhLhnSSe5EEIIIYQQQgghhBBCiHuWdJILIYQQQgghhBBCCCGEuGdJJ7kQQgghhBBCCCGEEEKIe5Z0kgshhBBCCCGEEEIIIYS4Z1nWdgSEEEIIIYQQQgghhBCiNiiUitqOgvgPkJHkQgghhBBCCCGEEEIIIe5Z0kkuhBBCCCGEEEIIIYQQ4p4lneRCCCGEEEIIIYQQQggh7lnSSS6EEEIIIYQQQgghhBDiniWd5EIIIYQQQgghhBBCCCHuWZa1HQEhhBBCCCGEEEIIIYSoFUoZQyzu4E7y+SvWMnPxCtIyMokICeL1Zx6nXmSY0bBL1mxkxabtnLtwEYDosBCef2xwaXiNRsOUWQvYsf8wl5KSsbezo0Wjerzw+EN4urlKOqpBp9Oxa+WPHNsxF3VBFr4hTeny0ARcPEOq3OfItlkc2TaLrLREANx9ImjR6yVC6na8LXGeu3oT05euJTUzi8ggf9588mHqRxiP76J121i+ZRdxFy8BUCc0iBeHPGAQvuXQl4zu+/KjA3iiXw9TR/+WuLVvTtgbz+DctAE2fl7sHfQiSUvW1Wqcylu0fAVzFiwhLT2D8NBgXn7+GepGRRoNe+58An/NmM3ps3EkJV/lxWefZHD/vpXCXU1N5de/prN73wEK1IX4+/rw9qsvEh0ZYe7klFrw72pmLVpOWkYm4SFBvPbscOpFhRsNu2T1elZt3ErchQQAosNDGfHYkCrDm8viZf/yz4JFJecihFHPP0ud6CijYePPX+CvGbM4E3uWpOSrjHzuaQb172cQZuqM2UybNcdgW2CAP3/+PNFsaQBYtnQJ8+fPIz09ndDQMF4Y+SLR0dFGw54/H8/0adOIjT1DcnIyz414ngEDHjQIc/TIEebPn0ds7BnS0tIYN+592rRta9Y02LXrgUPXflg4OlN06QKZC/6i6MJZo2HdXxqPdUS9StsLjh8g7df/gdICx/sexqZuDBbuXugK8lGfPkLWstlos9LNmg5T399DnxlJUvLVSvv2v68Xr458zixpgLun/NbpdKyaN5Gd6+eRn5tNaHQTBj39Pp6+wVXuc/bEXjYu+4OLccfJyrjKk6N/oGGLbgZhVs37iQM7VpCZegULSxUBofXoM+RVgiMamTwNd9O52LzkBw5smYs6P4uA8Kb0eewD3LxDqtxn24pfOLV/NalX4rC0siEgrAldB72Ju48+Pfm5GWxe8iNxx7eSlXYZOwc3opp0p9MDr2Jj52iWNGxZ+gOHturT4B/elF5Dr5+GHSt/4dSB1aSVpME/rAmdHyxLQ8Xjz534HHHHtjDwhZ+Iiulu8jQALFy+itmLlpKWri+vXx3xFHWjjNcXzl1I4I+Zczl9No4rySmMemYYDz1wn0GY4mItf82ey+qNW0nLyMDDzZXeXTsx7OGBKBQKs6QB7o7z8c/abfy9YhOpmdlEBvry9uMDaBAeZDTs+r1H+GPpehKSU9Boigny8eDx3p24v10zAIo0xUyev5Kth0+SmJyKg50trepF8PLD9+Hp6mzyuF8zZ+8ppu46QWpOPlHerrzTszkN/DyMhl1y+CwTlu002GZloWTXO0P1aSjWMmnTIbaeTeRiRg4O1la0CvHhlS4xeDnamS0NAP+s3sT0petK20pvPflQlW2lheu28e+W3Zwt11Z6aUg/g/B5BWomzlrMpr2HyczOxc/LnSG9OjGoRweTxlun07F8ziS2rZtPfm42YXVieOS5cXhdp5wD2LRyNmuX/EVWRgr+wVE8/PS7hEQ2LP09Mz2FhdO+4eThHagLcvH2C6HXwOdo0lrfzjt9bA/ff/CM0WO//dlMgiMaVDtNS5YtZ+78haSlpxMWGspLL4y4bv387+kzSurnybzw3DMMHNC/ymPP/mcef0z9mwf792PkCNPWo5YvXcSi+f+Qnp5GSGg4I0a+TFR0nSrDb9uyiRnT/iQ56Qp+fgEMe/o5mrdoVfp7//u6Gd1v+NMjGDh4CADPPfkoyclJBr8/8eSzDH54qAlSBHPW72Tqqq2kZuYQFejDO0P70iAswGjYdfuO8fu/m0hITkNTXEyQtztP9GxH3zZNjIb/ZNpi5m/aw5tD7uOxHuZtZwgh9KrVSf70009f9/c//vijWpG5WWu37eLHv2bz1vPDqRcZxj/LVjP646+Y9ePnuDo7VQq//9hJerRvRYPox7BWqZi+6F9e/+hLpn/3KZ7urhSoCzkVd54nBz9AREgg2bm5fP/HTN75/Hv++N8Hko5q2L/+Nw5tnkaPRz/HyT2AnSu+Z/HPz/LYmOVYqqyN7uPg7E3bvm/g4hmMTqfj5J5FLP/9JR55YwHuvsY7UExlzY59fDdtAWOeeYT6ESHMXrGBVz6fyNyvJ+DmXLkRue/EaXq1bU6jqFCsVCr+XrqGlz+byOwvx+Hl5gLAv5M/Ndhnx8HjfDJlBl1bGi8EbycLezuyDp8i4a/5NJ/3U21Hx8CGLduY/NtUXntpBHWjIpm/ZDnvvP8JU3/+AVeXyg0YtVqNr483ndq3YdJvfxk9ZnZODq+8PY6Yhg347IOxuDg5cfHSZRwcHMycmjLrtu5g4p8zeOOFp6kXFc7cpSt546PPmTnxK6PpOnjsBN07tKFBnWFYqayYsXApb3z4OX//8AWe7m63Jc4bNm/l59/+5NWXXqBudBTzFy9lzPsf8ecvE3F1cakUvuDauWjXlsm//VnlcUOCAvnf/31Y+t1CaWGO6JfavGkTv/76K6NGvUx0nWgWLVrE+PFjmTLlN1yMpEOtVuPj60P7Dh34dcovRo9ZUFBAaGgoPXr25P8++dis8QewiWmN84AnyJj7O0XnY7Hv1Af358eQ/NkbaHOyKoVP+/MbFBZlRbzS3hHPNz8n/6C+4a2wssIqIJTsNQspSjyP0s4e5weH4/bsm6R8M9Zs6TDH/T35m8/RarWl38+dT+Ct8R/RqX0bcyXjriq/Nyz9nS0rZzB05Ke4efqzcu6PTPl8BG9/uQSVlfHyulCdj19QNC07D+Svb141GsbTN5iBT47F3SuAokI1m1b8zZRPn+Pd71bg4GS6POxuOhc7Vv3KnvXT6PfU57h4BLBp8ffM+v4Znv/w3yrrThdO76ZZl8fwC2mItriYDQu/YeZ3z/D8h8uxsrYjOyOZ7Ixkug1+B0/fCDLTElkx/QNyMpIZ9MIPJk/DrtW/sm/DNO4frk/D5iXfM+fHZ3huwvXT0LTTY/iGNESrLWbzom+Y88MzPDtBn4by9qybCpivUxlg/Zbt/PTHNEaPfJZ6URHMXfovb37wGdMnfWM0nypQF+Ln7UXntq2Z+MffRo85c8FiFq9Yy7uvjSQkMIBTsXF8/sPP2NvZMbhfH7Ol5U4/H6t3HeSbWUt5b/ggGoQHMXPVFkZ99RsLvngbN6fKdTgnezue7teVUD8vLC0s2HLoBB/+9g+uTg60bRhNQWEhJ88n8uwD3YkK8iU7N58vZyzm9e/+YvqHxvOymlp1PJ6v1+1nbO+WNPDzYOaek7w4ewOLnu+Hm72N0X0crFUsfL5skEH5/+GCIg0nrqTxXLuGRHm7klVQyJdr9vLa3E3MfNp819LqHfv4btpCxjwzhAYRIcxasYGXP/+JeV+/X0Vb6Qw92zajUdRDWKssmbp0DaM++4k5X44tbSt9O20+e4+d5qOXhuHr6c7Owyf43x//4OHqTKfmpnugumbxn2xcMZMnRn2Ch5c/S2dPZOInLzD+20VVlnP7tq1kwdQveWTEeEIiGrJh+XQm/t8LTPh+CY7O7gD8PXEs+bnZvPDODzg4ubJn67/8/s1bvPPFLAJD6xIWFcOnU9YbHHfZnImcOrKLoPD61U7Pxs1b+OXX33ll1IvUiY5iwaIlvDd+Ar9PmWy0fq5Wq/Hx8aFD+3b88uvv1z32qdNnWL5yJWGhIdWOX1W2bNrAH7/+zMhRrxFVpw5LFy3gg/HvMGnKX7i4VH4IfeL4Mb764hOeePJZWrRszeaN6/ns4/f55oefCQ4JBeCv6XMN9tm3dzcTv/+Ktu0MH7Q8+viT9Ox9f+l3Wztbk6Rp1e4jfP3PCsY+/gANwgKZuXY7L373F4s+ec1oHuVsb8uz93cmxMcDlaUFWw6f4oM/F+Lm6EDbBob9Hev3H+dIXAKeLqZ/oC2EqFq13idIT083+CQnJ7N+/XoWLFhARkaGiaNY2Zylq+jXvRP3d+1AaKA/bz0/HGtrK5at22w0/AevvcDA3t2ICg0mOMCPMSOfRqvTsffIcQAc7O34fsJbdGvXkmB/XxpERTD62cc5dTaeK1dTJR23SKfTcXDT37To+QJhDbvh4RdNj0e/IDcrmbgja6vcL7RBV0LqdcLFMwRXr1Da3P86Kms7rpw/ZPY4z1y+jgFd29KvcxvCAnwZ88wj2FhZsXTjDqPhPx71FIN7diQqJJAQfx/GjngMnU7HnqOnSsN4uDgbfDbtO0yzepH4exsfOXI7XV21mdMTviNpcdXno7bMXbSU+3p1p0/3roQEBfL6iyOwtrZmxZr1RsPXiYrghaeH0bVje1QqldEws+YtwsvDnXdee4m6UZH4+njTomkM/r4+5kyKgTlLVtCvRxfu79aJ0MAA3nzhaWysrVm+bpPR8O+//hIP9ulBZGgIwQF+vPPic2h1WvYdPnbb4jx/0RLu69WD3j26ERwUyGsvvYC1tTUr1xh/66BOVCTPP/0kXTp1QKWq+hmshYUFbq6upR9nIx1ZprRw4QJ69+5Nj549CQoKZtSol7Gxtmb16lVGw0dFRfPMM8/RqVPnKq+p5i1aMGz4k7Rt286cUS/l0Pl+8nasJ3/3JjRJiWTO/R1dYSF2rTobDa/Ly0WbnVn6sY5qiK5ITcGhXfrfC/JJ/flTCg7upPjqZYrOx5I5/0+sAsOwcHE3WzrMcX+7ODsbXE879uzDz9eHxg2q3wC9kbul/NbpdGxeMY3uDz5Pg+Zd8QuOZuiLn5GVnszRvVW/XVQ3pgN9hrxKwxZVjxpt2q4vUQ3b4O4diE9gBP0ff5uC/BwuXTht0jTcTedi99q/aX//SKJjuuMdUIcHnvof2RnJnDpQdVk99NXfadx2IJ5+kXgH1qHfU5+TlXaJK+f1ZYWXfxSDR/5IVOOuuHoFEVKnDZ0HvMaZw+vRFmtMnoY96/6mbZ+RRMV0xyugDn2f+h85GcmcPlh1Goa88juNrqUhoA73Dy9JwwXD8i4p4QR71v7BfcM+reJIpvHP4uX07dmV+7p3JiQogDdGPouNtRX/rt1oNHzdyHBGPvU43Tq2xaqKsu/YydO0a9WMNs2b4uvtRed2rWnRpBEnzxh/G8gU7obzMX3lZh7s1IoHOrYgzN+b954ciI2VisWbdxsN37xuOF2bNyTUz5tAbw8e7dmBiEBfDp4+B4CjnS2T3h5Bz1aNCfH1omFEMO888SAn4i9yOdU8b1FN332SgTER9G8cTrinM2P7tMTG0oJFh65/7j0cbEs/7g5lHXqONlb8/Gg3etYLJsTdiUb+Hozp2YITV9K4nJlrljQAzFy+ngFd2/JASVvp3ZK20pIq2kqfjHqSh3p2JDokgBB/H8YZaSsdPn2O+zu2olm9KPw83RnYrT2Rwf4cP3veZPHW6XRsWD6d3oOeo3GLLvgHRzF81P+RmX6VQ3uM1z0A1i37m7bdBtGmywB8A8N5ZMR4rKxs2bF+UWmYuFMH6dRnKCGRDfHwDqDPoBHY2TtyIU5fnliqVDi7epR+HBydObxnA226DKjRGyTzFy6mT++e9OrRneCgIF4d9SLWNtasWm38vo6OimTEM0/RpVPHKutSAPn5+Xz+5de8/vIoswwkWrxwHj1730f3nr0JCgph5KjXsLa2Zu3qlUbDL128gKbNWjBw8BACg4J5bNhThIVHsnzpotIwrm5uBp/dO7fRsFEMPr5+BseytbMzCGdjY5pO8ulrtjGwQ3P6t29GuJ8XYx9/ABsrFYu27jMavnmdMLo2rUeYnxeBXu482r0tkQHeHIg1vOaT07P4YtYyPn32ISwtzDuYSAhhqFqd5AsXLjT4LFu2jLi4OIYMGULr1q1NHUcDRUUaTp2Np0WjstfIlUolzRvV5+jpm6toFhSq0RQX4+RgX2WYnNx8FAoFjvbmeW3tbkmHMVmpF8nLvkpgVNkrQda2jngHN+JK/MGbOoZWW8zp/cspUufhGxJjnoiWKNJoOHkugRYNyl71UiqVtGhQhyNn4m7qGAXqQjSaYpwcjP8/p2Zkse3AUR7oIq9JXU9RURGnY+No1rhs9IhSqaRZTEOOnzp1nT2vb8fuvURFhPPB518x8PGnGfHqmyxbtcYUUb4pRUUaTp89R7PGZa9V6u/3Bhw7deamjqEuud8dr3O/m5L+XJylaUzj0m1KpZKmMY04frL65wIg8dJlhgx7msefeYFPv/zW6FQZplJUVERs7BliYsre4FAqlcTENOHkyRNm+7smZWGBKiAU9emjZdt0OtRnjqIKvrm3bOxadSb/wA50heoqwyhs7dBptWjz82oaY6PMdX9X/BtrN2ymT/cuZpvC4G4qv9OSL5KdkUJUg7K6m62dI0HhjTh/xnQPqDWaQnasn4uNnSN+QcanOaqOu+lcZKRcJDfrKiF1y+oJNnaO+Ic2JjHuwE0fR52frd/XvuqpIwryc7C2cUBpYdpZFzONpcHWEb9qpsHWriwNRYX5LPn9DXo88j4Ozp6mi3QFZeV12ZQKSqWSZo0bcuxU9R/w1K8Txf7DR0lI1E89EXvuPEeOn6JV05iaRrlKd/r5KNJoOBmfSMv6ZeWcUqmkZf1IjsTeuBNVp9Ox+9gZzl9Opmm08emXAHLyS+5vE40sLa+ouJgTl9NoFVI2KEOpUNAq1IfDiSlV7pdfqKHPxIX0/nEhr83dxNmrGdf9O9nqQhToO9DN4VpbqWWDsvxbqVTSskE0R86cu6ljGGsrNYoKZfO+IySnZaDT6dh77DQXLifTqlFdk8U9NTmRrIwUohuWK+fsHQmJaMi5U8bLOU1REQlxJ6jTqGwfpVJJnUatiDtdtk9YdAz7t68iNzsTrVbL3m0rKCpSE1mvhdHjHt67kdzsTFp3qXqqkxspKiriTGwsTWJiDOLWJKYxJ06erPZxAX6c/DMtWzSnaZOYG4a9VUVFRZyNPU3jmKal25RKJY1jmnLq5HGj+5w6eZzGTZoZbGvSrHmV4TPS09i7Zxfde1Z+o2L+3Fk8PmQAr416ngXz5lBcXFyD1OgVaTScOH+JVvXKpsJUKpW0qhvO4biEG+6v0+nYdeIs8VdSaBYZUrpdq9Uy7ve5DO/VnnB/7xrHUwhxa0xWO1YqlYwePZrOnTvz9ttvXzesWq1GrTZsqKsLC7G2unHBnpGdTbFWi1uF1x3dnJ24kHj5puI6edpcPFxdaN6o8nyt1+Iyefo/dG/fCnszVJjg7kmHMXnZ+g4vOwfD0Yh2Dh7kZlddIQRIuXSKed8PRaNRo7Ky4/6nJ+LmY945ozOycvTnosKrgm7Ojpy/dOWmjjFx5iI8XJ1p2cD4nGrLN+/C3saGLi1iahrdu1pmVjZarRbXCvNCurq4cOFiYrWPe+lKEktWrOahAX157KGBnDpzlolT/kRlqaJXt841jPWNZV67350rpsuJ8yUN5huZ/PdsPFxdad64+vMX3orSc+FS+Vwk1OBc1I2O5K3XXybQ35/UtHSmzZrD6++M5befvsfODPlUVlYWWq0WF1cXg+0uLi4kJNy4AvtfoLR3QmFhQXF2psF2bXYmVl5+VexVRhUUjsoviIw5U6oOZKnCqe9Q8g9sR6fOr2mUjTLX/V3etp17yMnNpVe3LiY5njF3U/mdlakvkx2dDd9wcnR2Jyvj+uX1zTi+fyPTfniTosICHF08ef69X3FwMt283nfTucjN0ted7B0N6072Tu7kZN3cudBptayZ8ykB4U3x8jc+N21edhpbl08ipsOQmkXYiJxraXCqkAZHd3JvIQ1r5+rT4FkuDevmfoZ/eBOzzUF+TWZWFsVGyz7nGuVTjw3qT15ePk+89AZKpRKtVsuzjw+hR+f2NY1yle7085GRnUuxVou7s+GIVndnB+IvJ1e5X3ZePn1e+4RCjQYLpZIxwx6kdQPj94O6sIgf5vxLr9YxONgan/qkJtLz1BTrdJWmVXG3tyE+tfJUaQDBbk5M6NuaKC8XsguKmLbrBE/+vZp5z/XF26nygzq1ppgfNhykd/0QHKyrHiVcE1W3lZyIv5RUxV6Gfpy5uFJb6a0nH+LTX2dx/0vjsLBQolQoGfvcUJrWNV3b71pZ5lThLTlHF3eyMoy/HZSTnY5WW1w6rUrpPs7uXEkseyjwzOgv+ePbt3n76Q4oLSyxsrJhxFvf4eVrfM787esXUjemLa7u1X+T9Vq9tuK0Kq4uLiQkVD+P2rBpM7GxcUz87utqH+N6srIyS+rjhnUAFxdXLlZRH89IT6s0DYuLiyvp6WlGw69fuxpbWzvaVJhqpe8DDxIWEYmjoyMnjh9n2tTfSE9L5ZkRL9YgRZCek6e/LypMq+Lu5ED8larz2Oy8ICXseAABAABJREFUAnq99T+KNBqUCiXvPt6P1vXLrvk/V27BQqlkaDfzTRsohKiaSYeQnD17Fo3mxq9ufvbZZ3z44YcG294a+TRvv/isKaNj1LQFy1i7bRcTPxxjtFNeo9Ew/utJ6HTw1ojhZo9Pdf2X0nFq31I2/DOh9Hu/536u9rFcvUJ55M2FFBZkE3toFWtmjmHQqGlm7yiviamLV7Nmxz4mj38NayvjldOlm3bQq12LKn8X5qXT6YiKCOPZYY8BEBkexrnzF1i6YvVt6SSvqenzl7Bu6w5++HjcTT1M/C9r2bxsREhYaAh1o6N49OkRbNq6jT49zdv5ca+ya9WZoksXqlzkE6UFbsNfBYWCzLnmXVPE3P5ds46WzZrgcZvm7a+O2iy/921dxrzfPij9/uzbk016/IrC67Xkjc/nk5udwc7185j2/Ru88vGsSh0PtaU2z8XRXUv4d3pZ3WnIKOPrH9yKlbM+5OqlMwx7e6bR39X5Ocz58Xk8fMPp2G9Ujf/esV1LWDmzLA0PvVTzNKye/SFXE8/w+FtlaThzaB3nT+7kqbELa3z82rJh607WbNrK+NEvExIUQOy5eCb+/nfpAp6mIOdDz97Gmlkfv05egZrdx2P5ZtZS/D3daV7XcOHzIk0xY36ajg54d/jA2omsEY0DPGkc4GnwfdCUpcw7cIaXOjU2CFtUrOXthVvQ6XS817vl7Y7qTfurpK308/hXDdpCc1Zt4khsPF+/+Ty+Hm4cOBnL//7Uz0neqmHVizlez+4ty5n1y0el319813xrLy2b/RN5uVm8/P4UHBxdObRnPb9/8xavf/Qn/sGGD2bSU69w4uB2nhn9pdniU13JV68yecqvfP7JR1jdwe2MtWtW0qlLt0pp6D/wodJ/h4SGo1JZMunHbxn21LOoVLc/vfY2Vsx+/yXy1YXsOnGWr+esIMDDleZ1wjgen8istTuY+f6LZl3UWRgn/+cCqtlJPnr0aIPvOp2Oy5cvs3z5coYPv3Ej4t133610jOzYm3vtz8XREQulkrQMwxF1aZlZlUYSVTRz8QqmL1zOdxPeJiIksNLv1xpDSVdT+eHDd8w6YuhuSQdAaP0ueL9Z9vp8saYQgLycVOydvUq35+Wk4Ol3/dfnLCytcPHUrzTuFdiApAtHObj5b7o+/NF196sJFycH/bnIzDbYnpaZjbvL9edKnr5sLVOXrGbiey8TGexvNMyBk7Gcv5TE/71y/QVvBTg7OaJUKklPN7wv0jMycKswEvhWuLm6EBJoeK8EBQawefuuah/zVjhfu98zK6YrC/cb3O+zFi1nxoKlfPvhu0SEGB+ZYg6l5yKj8rlwrcG5qMjBwZ4Afz8SL93cqM9b5eTkhFKpJCM9w2B7RkYGrm6mG9FqTtrcLHTFxVg4OlNUbrvS0ZnirIzr7quwssa2SVuyV841HkBpgevwV7Fw9SBl0idmG0UO5ru/r7mSfJX9h47w4btv1vhY13Mnl9/1m3UhOKJsGglNkf6Kys5Mwcm1rFMmOzMV/5DqdVCUZ21jh7VPMB4+wQRHNuaz1/uwe8MCug14rsbHhjv7XEQ27sqzoWUdXtfqTrnZqTi6lNWdcrNS8Q688blYOfMjzhzeyLC3puPkWnmUorogh1nfP4uVjT0PvfgTFpY1f2gf0bgrT5dLg+ZaGrJScShX/8vNTsUr4MZpWD3rI2KPbOSxNwzTcP7UTtJTLvDtaMMpDBb+8jIBEc157I1pNUxJGWcnJyyMln2ZNcqnJv81nccG9adbR/3UJ+EhQSRdTWHGvMUm6yS/286Hi6M9FkolqZk5BttTM3PwMLJQ5DVKpZLAkvV/ooP9OXcpmT+XrTfoJNd3kE/jcmo6P4953iyjyAFc7ayxUChIyy0wTENuAe72N5enqCyURHu7kZBu2E4pKtbyzsItXM7MZcqj3c02ihyu11bKumFbadqytUxdsoaf3htl0FYqKCxk0uylfDn6Odo31b8lGRnsz+nzF5m+bF21O8kbNe9MSPlyruQ+yMpIxbl8OZeRSkCI8em/HBxdUSotyM40HGmenZmKk4v+2rp6JYFNK2cx9psF+AXqB3MFhERz9sR+Nq+aw9AR4w323blhMfaOzjRq3rla6brmWr02vcI6cDWpS52JPUtGRiYvvvJ66TatVsuRo8dYvHQ5yxfNx6KG82I7OTmX1McN5/7PyEjH1c34wAYXVzcyMoyEd60c/tjRwyReTOCtMeMr/VZRVHRdiouLSUpKIiCgcvl/s1wd7PT3RVaFPCorp9IbMOUplUqCvPWDBaKDfDl3+Sp/rNhM8zphHDhznrTsXO57+6vS8MVaLd/8s4IZa7fz7xfmreMKIao5J/mBAwcMPocPHwbg66+/5rvvvrvh/tbW1jg5ORl8bnZ0pEplSXR4SOkCS6DPxPcdPk6DqPAq95ux6F/+mreEr8e/Qd2I0Eq/X2sMJVxO4rsJb+HsaPrFKsq7W9IBYGXjgItncOnHzScCO0dPEk6XLeRSWJBD0vnD+Nzq/OI6bWnD0VxUlpbUCQ00WEhGq9Wy99gpGkZWPYfh30vW8PuCFXw/5iXqhQdXGW7Jhu3UCQ0iKjjApPG+G6lUKqIiwth/+EjpNq1Wy/5DR6gXXf15bBvUrUNCouEriBcTL+HtdXsWUVWpLIkKDzVYdFOr1bLvyFHqR1c9p/SMhUuZOnchX73/NnUiqr4WzUF/LsLZf+hw6TatVsuBQ0eoV8d0cwrn5+dz+fIV3M3UYa1SqYiIiOTgoYOl27RaLQcPHqROHdPNeWlWxcUUXTyHVVS5qXYUCqwj61N0/vpz2ts0boXC0pK8vVsr/1jSQW7p6UPq5P9Dl5dTOYwJmev+vmbl2vW4ODvRukWzGweugTu5/LaxtcejpNPawycY74BwHF08OHO07IFhQV4OF84eJjiy8XWOVD06ra60w8IU7uRzYW3jgJtXcOnHwzcCeydP4k+U1Z3U+TkknjuEf1iTKo+j0+lYOfMjTh1cw+Ojp+LiUbnBr87PYdZ3z2BhqeLhlyZjqbI2WRpcvYJLP6VpOGmYhks3kYbVsz7i9ME1DH2tchpa9xrBM+OW8PTYRaUfgG4Pvcv9w027aGRZeV22BoRWq2X/4aPUjzY+ZcfNUBcWolAajlBTKpVoddpqH7Oiu+18qCwtqRPiz57jsaXbtFote47H0jCi6np3RTqdjqJybzpf6yBPSEph8tsjcDHjWi8qCwvq+rqxK75s+katTsfu+Cs08r+5OmixVktscgYe5RbvvNZBfiEtm5+HdsPFzjT3dFWqaivtOXaahpGV89Br9G2llfww5sVKbSWNphhNcbHR+0Kn01U7rja29nj5BpV+fAPCcXLx4FS5ci4/L4f42COERhsv5yxVKgLD6nLqSNk+Wq2WU0d2ERal36ewZFCBUmHYnaJUWqDTGt7XOp2OHRsW0apTvxo/oFSpVERGRHDwYNnc6Pp67WHq1qneg4UmjRvxy08/MvnH70s/UZERdO3cick/fl/jDvJr8Q6PiOLwobKBkVqtlsMHDxBdx/h0Z9F16nH44H6DbQcP7DMafu3qFYRHRBEaVnXZf01cXCxKpRIXZ5dbS0QFKktL6gb7setE2RpmWq2W3SfjaBR2853vOp2OwiJ9HnV/mxj++WAUsye8VPrxdHFkWK/2THr9vzvLgRB3k2qNJF++fDk6nQ57e32lIj4+nkWLFhEcHIylpWkXATJmSL9e/N+Pv1InPJR6kWH8s2w1BWo193fVzz/18Q9T8HBzZeTj+ldrpi9czm+zFzLhtefx9fQgtWREoa2NDXa2Nmg0GsZ+9ROn487zv/deQ6vVloZxcnBAVcVK9ZIO4xQKBTGdhv0/e3cdJlX1BnD8O7Pd3d1Jd3eKlCIgJaUgIIoBiIIdPxUDFUG6pbu7Q+nuZlm2e3d2Z35/zDLLsLvUzrIK7+d59nmYO+feOYdb5773BH9v+AN7F39sHb3Yu+YXrGxdCSxXMJzCkt9fI7BcUyrU6w7A7pU/4BdRHxsHD3Ky0jl7cCXXL+yn3RuTSj3Pr77QhE/HzyAi0JeoYH/mrdlMZnY2bRpoJ2wZ8/t0XB3sGdRVO9HK9OXrmbhgFZ8Pfg0PF0fi8lscWZqbYWle0BolLSOTTfsOMbTbv6cbJ4CRlSVWwQWtki0DvLGtEE5OQjJZ10qnRe+j6tT+Rb758VfCgoMIDw1m0bJVZGVl07Kpdozhr8f+grOTE/17aYdOUalUXLl2HdAGNuLiEzh/8RIW5uZ4eXoA8HK7Ngz5YBSz5y+iYd3anD57nlXrNjJs8BtPrVyd27biq18mEB4UQERIEAtWriUzK5vWTbQtyL74eTzOjg4M6NEFgNmLVzB57kJGDxuEu6tLofP9aXipfVv+9+MvhIUEERYawuJlK8nKyqJl0yYAfPPDzzg7OdLvtR5AUfsivtC+mDB5GjWrV8XN1ZX4hASmz56HUqmkUYN6RWfCADp06MjYsd8TEhJCaGgYy5YtISs7i2bNmgPww/ff4eTkxGu9++jKcfXqVV054uPjuHDhAhYWFnh6ascAz8zM5ObNgvHkY27HcOHCBWxsbHB1dcXQ0rauwuHVgaiuXUR15TxWDVqhMDUjY982AOxfHUheciKpq+bprWdZsxFZx/4uHABXGuHw2tuYegcQP+l/oFSitNG2vFVnpIEBJjQqSmmc36B9KFm7cQvNGzc0yMPcwzwr92+FQkH9Vj3YuHQCzu6+OLl6s2bBOGwdXImu2kSXbvwXfShXrQl1W2j3S3ZWOnExV3XfJ9y5zo3Lp7C0tsPB2ZPsrAw2LZ1IVJVG2Ni7kJ6ayK71c0lOvE2FGi0MWoZnaV9Ub9qTXavH4+jqh72zN9uW/YyNvSthlQrqTrPH9iK0YjOqNdbWndbO+ZQT+1fS6c3fMTW3Ii1ZOw61mYUNJqbmZGemMeenPuTmZNKuz3dkZ6WRnaW9HljaOKJUGu58USgUVGvSk91rtGWwc/Zmx/KfsbZ31Ru7eu6P2jJUaaQtw/q5n3LywEpeGlh0GaztXIqcHNLW0bPIlwIl9Uq7F/j65/GEBwcSHhLMwhWryczKplVT7f36yx9/w8XJkdd7dgW0k31ezr9OqVR5xMUncO7iZSwszPH20LbArl2tMrMWLMXNxRl/H2/OXbzM/GWraN20ocHzf9ezsD+6t6zPmD//IiLAm+hAH+as20Fmdg5t62lbsY+eMBcXBzuGvNIagCkrNhMZ4I23qxOq3Fx2HjnNqt3/MLKnth6uys1j+K8zOH3lBj+904c8tZq4JO3Y4HbWlpiUwnNs9+rhjF6xh0gPJ6I9nZiz/zSZqjzaldc2fvho+W5cbSx4q5H2xcWEHcco7+WMj4M1qdkqpu89ya2UdDpU0LZWVuWpeX/xDk7HJPDzKw1RazTEpWkDtnYWppiU0j3w1Rca8+n4mbpnpblrtpCZnc2LumelGbg42DFY96y0gQkLVvHF4F54uDjp/p+1z0pmWFtaUDkimF9mL8Xc1AR3Z0cOnjrP6u37ebuH4Z6bFAoFjV7oztpFE3F198XJ1YuVf/2GnYMLFao11qX7+dN+VKjehIattOd1kzY9mfHbR/gGReIfXI7Nq2aRnZ1JzUbtAXD3CsDF3Zc5Ez+jY493sbKx58iBzZw+uocBI37Vy8OZ4/uIj71B7SYvGaRML3Vox3djfyIkJJjw0FAWL1tOVlYWLZpp79v/++FHnJwc6fuaNqiqrddqx/1W5delLly4iLmFOV6enlhaWhLgr/8Sw9zcHFtbm0LLS6Jdh5f5eey3BIeEEhIazopli8jKzqJpM2294Mfvv8HJyZmevbVD8L7YriOjhr/D0sXzqVqtJju2beHCubMMGqI/IkFGRjq7dmynd78BhX7z9KkTnD1zmnLlK2JhYcHp0yeZMnE8DRo1wdqm+B4pj6p7szqMnrKISD9PogO8mbNxN5nZObSro22w8dHkhbja2/LWS9pnjsmrtxHl54W3qyM5qlx2HjvLqr2HGdmtLQD21pbYW+vPPWBsZISznQ3+7qU3abUQosAT1QTat29Px44dGTBgAElJSdSsWRMTExPi4uIYO3YsAwcONHQ+9TStU4Ok5FQmzVtCQlIyIQG+/PDRu7qutbfj4vXGE1qybjOq3Fw++l5/TLI+r7Sjb+cO3ElIZOcB7VvN194drZdm3KfDqRxdOq0Nn5VyFKVy436ocjLZMn802ZkpeARUoe0bf+q1XkqOu0pWekEXqsy0BDbMHk56yh3MLGxw8gij3RuT8A2rU+r5bVarCokpqUxcuJL4pFRC/bz4ecQgXRfC23GJKO/ZF4s37ECVm8uIn/QD+P1eas3rL7+g+7xhzz9oNBpa1Kla6mV4HHZVoqm1qaA7bOT3HwJwbcZijvYdWVbZAqBRvTokJacwdfY8EhOTCAr059tPR+m6EMbeidNrtRGfkMjrQ9/XfZ6/ZDnzlyynQnQkP36tHaYnPDSYzz58n0kz5jBj3kI83Fx5s/9rNG1Y/6mVq0ndWiSlpDJ53kISEpMJDvDj+9HDC873O/rn+9K1G1Hl5vLx/37W207vzh3p08UwleyHaVS/LsnJKUybNY/ExESCAgP4+rPRuuFWYu/cQXlPC6D4hEQGvFVQcV2weBkLFi+jfHQUY7/5AoA7cfF89d1YUlJSsbOzIzoygnE/fIO93YOHRiiJ+g0akJySzKyZM0lMTCQwMJDPPvsCh/zJg+7cidVryZSQEM9bQwbpPi9etIjFixZRrlw5vvlWO5bkuXNnGTliuC7NpD+1k2I2adqUYcMM3xUy6/Bekq1tsWn5Mka29qhuXCF+wjeo07Qv6IwcnOG+lldGLh6YBYYTP75wyz4jOwcsymmvS67vf6v3Xdyvn5Fz4ZTBywClc34D/HP4KLF34mjVrOCBtzQ9S/fvRi/2JSc7k4WTPiEzI5WAsMq8PmICJqYF9+v429dIT03Sfb528QTjP++t+7x85v8AqFq/HV0HfoVSaUTszUsc2L6M9NRErKzt8QmKZtCYGbj7GHaOkWdpX9Rq0R9VdiarZ40mKyMFn+AqdBk6Sa/ulHjnGplpBXWng9vmAjDrhx5622rz2tdUqN2RmKsnuHlJ2+Lw94+a6aUZ9NUm7J0N28utRvP+5GRnsna2tgzewVXoPKRwGTLuKcOh7doyzBmrX4bWPb+mfO2n38igcb3aJKWkMGXOAhISkwgO8OO7MSNwzJ8oLzYuTu/eF5eQQL93Rug+z1u6knlLV1IxOoKfv9SOET60f28mz5nPj39MITE5GWdHB9q2aEqvzqV7P/+v74/mNSqSmJLOH4vXEZ+cSqivJ+Pe64dT/nArMQlJevfvrOwcvpmxhNiEJMxMTfD3cOWLN7rSvEZFAO4kJrPtkLbnSdePf9T7rQkjBhQat9wQWkT6k5iRzfjtR4hPzyLMzYHfOjfCKb9leExKut4zRmpWDp+t3kt8eha25qZEuDsyrWdzgly017Q7qRlsO6d9KdNl8mq93/qzW1Oq+rkZvAwAzWtVISkljQkLV+melX6551kpJi5B71q7KP9ZafhPk/W20/+lVrpnpS/f6sNv85bx8a/TSUnLwN3FkYGd2/BSU8NOaNusXW9ysjKZM+EzMjNSCQqvxKBR4/Xuc3G3r5OeWnAeVKnTktSURFb+9TupSXF4+YcxaNR43QSgRsYmvPnhbyyb/RN/fDuE7KwMXNx96THoC6Ir6zf82LNpCYFhFXH3Kr7V/eNoWL8eycnJzJg1R1ev/fKzT3T12tg7d/T2RXxCAgPfelv3eeHiJSxcvITy5aL5/hvD9sZ5kHoNGpGSksycmdNITEwkIDCIMZ99g33+8Clxd2L1rq0RkVG8+8EoZs2YwsxpU/D08mLkx5/h56///7hj2xY0aKjfsPCk7SYmJuzYtoV5s6ejUqlwdXOnbfuXaNfxZYOUqUX1ciSmpTN+2SbiU9II8/Hgt7d76YZbiYlP0ju/s7Jz+Gr2CmITkzEzMcHfw5kv+naiRfVyxf2EEOIpU2ieoD+Ts7Mz27ZtIyoqikmTJjFu3DgOHTrEokWLGD16NKdOPf7DddzxPQ9PJJ6KeVdrlnUWDKKH+6ayzkKJ7awx6OGJ/gMqnlhY1lkoMZPc7LLOgkFkm1g+PNF/QLaydOdaeBosf/2wrLNgEJqB//1ymOWU7lAzT8venGoPT/QfUNP0QFlnocRWx9cq6ywYRJ7hRgMpM608Hm3eo3+7NbeKHyLlv6STxfKyzkKJKc8cLussGERuuf/+dWq/8dNr8FKaQiwvl3UWDCJTUXrDFz0tvjefjbiUZb1OD08k9Nz5qPfDEwk9Ll9MLessGNwTtSTPyMjAJr97yvr16+nYsSNKpZKaNWty5coVg2ZQCCGEEEIIIYQQQgghSoNC+URTNopnzBMdBcHBwSxdupRr166xbt06mjfXjrEUGxuLre2DZ7gWQgghhBBCCCGEEEIIIf4tnihIPnr0aN577z38/f2pUaMGtWppu2qtX7+eSpWeja6AQgghhBBCCCGEEEIIIZ59TzTcyssvv0zdunW5desWFSpU0C1v0qQJHTp0MFjmhBBCCCGEEEIIIYQQQojS9ERBcgB3d3fc3d31llWvXr3EGRJCCCGEEEIIIYQQQgghnhYZmV4IIYQQQgghhBBCCCHEc+uJW5ILIYQQQgghhBBCCCHEf5lCqSjrLIh/AWlJLoQQQgghhBBCCCGEEOK5JUFyIYQQQgghhBBCCCGEEM8tCZILIYQQQgghhBBCCCGEeG5JkFwIIYQQQgghhBBCCCHEc0uC5EIIIYQQQgghhBBCCCGeW8ZlnQEhhBBCCCGEEEIIIYQoE0ppQyykJbkQQgghhBBCCCGEEEKI55gEyYUQQgghhBBCCCGEEEI8tyRILoQQQgghhBBCCCGEEOK5JUFyIYQQQgghhBBCCCGEEM8tCZILIYQQQgghhBBCCCGEeG4Zl3UGhBBCCCGEEEIIIYQQoiwolIqyzoL4F5CW5EIIIYQQQgghhBBCCCGeWxIkF0IIIYQQQgghhBBCCPHckiC5EEIIIYQQQgghhBBCiOeWBMmFEEIIIYQQQgghhBBCPLckSC6EEEIIIYQQQgghhBDiuWVc1hkQQgghhBBCCCGEEEKIsqBQSBti8S8KksdZ+JR1FkrMK/F4WWfBIOITcss6CwZhpj5X1lkosYonFpZ1FgzicNTLZZ2FEmuy7N2yzoJB3AhvWtZZMAirnOSyzkKJWXfrVdZZMAhN6s2yzkKJKdR5ZZ0Fgzh59dmo3DtGRpd1Fkrs0LG0ss6CQZgYG5V1Fkos2jOgrLNgENdjno36uSbov39MERxV1jkwiEwLx7LOQomdu2JW1lkwiBqO58s6CwaRbutZ1lkoMc3pI2WdBcOo16mscyDEf9Kz8TQlhBBCCCGEEEIIIYQQQjwBCZILIYQQQgghhBBCCCGEeG5JkFwIIYQQQgghhBBCCCHEc0uC5EIIIYQQQgghhBBCCCGeW/+aiTuFEEIIIYQQQgghhBDiqVIqyjoH4l9AWpILIYQQQgghhBBCCCGEeG5JkFwIIYQQQgghhBBCCCHEc0uC5EIIIYQQQgghhBBCCCGeWxIkF0IIIYQQQgghhBBCCPHckiC5EEIIIYQQQgghhBBCiOeWcVlnQAghhBBCCCGEEEIIIcqCQiltiIW0JBdCCCGEEEIIIYQQQgjxHJMguRBCCCGEEEIIIYQQQojnlgTJhRBCCCGEEEIIIYQQQjy3JEguhBBCCCGEEEIIIYQQ4rklQXIhhBBCCCGEEEIIIYQQzy3jss6AEEIIIYQQQgghhBBClAWFUlHWWRD/AtKSXAghhBBCCCGEEEIIIcRzS4LkQgghhBBCCCGEEEIIIZ5bEiQXQgghhBBCCCGEEEII8dySILkQQgghhBBCCCGEEEKI55YEyYUQQgghhBBCCCGEEEI8t4yfZKUDBw6gVqupUaOG3vJ9+/ZhZGRE1apVDZI5IYQQQgghhBBCCCGEKDUKaUMsnrAl+aBBg7h27Vqh5Tdu3GDQoEElzpQQQgghhBBCCCGEEEII8TQ8UUvykydPUrly5ULLK1WqxMmTJ0ucqUexasVSli6aT2JiAv4BQbw+cAihYeHFpt+1YxuzZ04l9nYMnp7e9OzTn6rVClrCZ2ZmMmPqn+zbs4vU1BRc3dxp07YjrV54sVTLMX/9Dmau2kx8cgohvl683+slooP8iky7ZPNuVu08wIVrtwCICPDhzc5t9NLHJ6cwbu4K9h47TWpGJpXDg3i/10v4uruWajmK0rC8ksohSsxN4NodDav255GQ+mjr1olS0rSSEXtP5bHuH3XpZjTfvJ1HmL71b+JSMwj1dGZEh0aU83V/6HprDp1hxKw1NIoK5Kc+bYtM8/nCTSzcc4z329Wne/3C546hLF21hr8WLychMYmgAD+GvNGXiNCQItNeunKNabPncfbCRW7H3uHNfq/xcrs2hdLdiY/nz2mz2P/PIbKyc/DycOeDoW8SFhJcauV4VI51qxL4bl/sKkdj7unK3y+9ye3lm8o6Wzrzdh5i+ua/iUtNJ9TThREdG1POz+Oh6605eJoRM1fRKDqIn/q21y0fv3Y3aw+dJiYpFRMjIyK93Rj8Ql3KP8I2n9SKFStYtHAhiYmJBAQGMnDgQMLCwopMe+XKFWbOnMn5c+eIjY3l9ddfp32HDnppjh07xqKFCzl//jwJCQl89PHH1K5du9Tyf9eSVeuYt3QFCYlJBPv78dbrvYkILfoYvnT1GlPnzOfMhUvcjr3DoL496dT2Bb00eXlqps1bwIatO0hISsLZ0ZGWjRvQ45WOKBSKUinDs3K/mL9+O7NW3luOl4kKLr4cq3fs15UjPMCHQZ1f1EuvLcdy9h3VlqNSeBDv93oZX4+ne9+bv2Fn/v5JJcTXk/d7dix2/2w+cJSpyzdw7XYcuXlqfN2c6da6IS/UrfZU8wyg0Wg4uHEcZ/5eQE5mKm5+lajdbgx2zv7FrnNq71xO7Z9HWuINAOxdg6nU+E18wurr0qz6sycxlw7orRdevTN12n9ikDwvnTuBbRuWkJGeRkh4BXoMGIG7p+8D19u0ej5rlswkOSkeX/8QuvV/n8DQaN33037/kpNH9pOUGIeZuQXB4eV5pedbeHj769L0bl+4t+SAd7+kRr0WJS4XQMvqptSKMsbcTMHlW3ks2JpNXLLmkdZtUtmENrXN2HY4h6U7cwBwsFEwupdVkemnrcnkyIU8g+T7Xs2rGlM9whgLM7gco2bJDtUjl6FhRWNa1zRhx9FcVuxW6Za/0daUIE8jvbR7T+SyeIfq/k08lEajYdGciWxZv4yM9DRCI8rTe+AHDz1+NqxawKols0lOjMc3IISer79LUGiU7vucnGzmTPmZvTs2oFKpKF+pBq8N+AA7B6dC20pNSebDod1IjL/DhDkbsbK2AeDA7i1sWrOYK5fOolLl4O0bSMeu/SlfueZjl/OuBuWUVApSaOvjcRrWHFCTkFZ8+irBCqqEKLHPP2zuJMP242ou3CrYh1bm0LSikkB3BaYmEJ8CO0+oOX390fbz45i/YSczV2/RXlt9PHm/Z4cHX1tXbNReW3PV+Lo7061VQ16oW1UvzaLNuzl9+TrJaRnM/uJdwvy8DJ7ve/21aQ/T1+4gPjmNUB93hnd7kehAnyLTbvrnOJNXbuNabDy5eXn4ujnTo0Vd2tSuVGT6L2YsZdHW/bzX5QW6Na9TmsVg8er1zFuykoSkZIL8fRnavxeRxdalrjN5zgLOXrhEzJ04BvfpwSttW+mlycjMZNLsBezY9zeJycmEBPjzVr+eRIQElWo5NBoNe9f8wrE9C8jOTMEzoDKNO32Cg6t/sevs3zCBC0fWkxB7EWMTczwCKlH3xfdwdAvUpUlPucOOZf/j6pnd5GSn4+AaQPVmAwipaJj7w8MY+lx5Ggrq5/nH1EPq51PmLODshYvExMYxuG9POrVtrZcmIyOTyXPms2PvAd0xNaT/a6V6TP116DwzDpwhPj2LUBd7PmhSiWgPxyLTLj9+mU/W6teNTI2U7H3nJb1lF+NT+GX7UQ5eu0OuWkOgky3ftauNh61lqZVDCKH1RC3JzczMuH37dqHlt27dwtj4ieLuj2XHti1M+fMPOr/ak7Hj/iAgMIhPPh5OUlJikelPnTzB999+QdPmrfhx3ARq1KrD15+P5srlS7o0U/4cz8F/DvDO+yP5dcJU2rZ/iYnjf2Hf3t2lVo71ew7y4+wl9O/YgllfvE+orydDvhlPQnLRkeR/Tp2nRa3K/DFqMFM/fQc3J3sGfzOe2IQkQHvDf2/sZG7ExvPDsH7M/vJ93J0defOr38nMyi61chSlTqSSGuFKVu3LY9LaXHJyoXtjY4we4YjzdNJWzmMSDV/RLs7aQ2f4fvl23mhek3nvvEqYpwsDJy4hPjXjgevdSEhm7IodVA4svnK96dh5jl25hYtt0Q+phrJlxy7GT5pOz66dmPDT/wgK8Gf46C9ITEouMn12djYe7m7079UNRwf7ItOkpqXx1gcfYWRkzNefjGLqbz8yoE9PrK2tS7Ekj87IypKUo2c4/tanZZ2VQtYeOs33S7fxRotazHu3h/aYmrDo0Y6p5duKPKb8XBwY2bEJi97vxbQhXfB0tGXgHwtJSHvwNp/Utm3b+HPiRF7t1o1x48YRGBDAxx99RFJSUpHps7Oy8HB3p3fv3jg4OBSZJisri4DAQN58881SyXNRNu/Yze9TZvBa55f4c+w3BAX48f4nXz343HBz4/UeXYs9N+YuXsayNRsY+kYfpv86ltd7vsrcxctZvHJtqZThWblfrN9zkJ9mLaFfx5bM/PJ9Qny9GPLN78WX4+Q5mteuwviPhjDl02G4OTkw+Jvf9crx/g+TuBkbz/fv9mfWVx/g4ezIoK9/e6r3vfV7D/Hj7KX079CCWV+8q90/304otly2Vpb0aduMqWPeZt5X7/Ni/ep8NnEee46efmp5vuvo9kmc3DOLOu0+oe3AvzA2tWTd1P7kqor//7Oyc6dai2G0G7SQdoMW4BlUk42zBpN4+5xeurBqneg6crvur1rL9wyS59VLprNh5Tx6DhjJx/+bhqm5OWM/HYIqp/g879u5nnlTfqRdl/58MnYWPv6h/PDpEFKSEnRp/IMi6PvWGL4at4B3x/wKGg3ffzIIdZ5+ILnvkDH8NHWt7q9yjYYGKVfjyibUr2DCgq3Z/LQgk2wVDGhrgbHRw9f1cVVSK9qEG3H6eU1K0zB6Srre35p92WTlaDh11fAB8oYVjalTzpjFO3IYtzibHBX0fcH0kcrg7aKgZqQRN+OKbhyx72Qun03P1P2t2vv4AXKAlYtnsn7lfPoMHM6n303GzMycb8cMJecBx8/eHRuYPflnOnTpyxc/TsfXP5hvxwwl+Z7jZ/aknzi0fydDPviaj74aT2JCHD99PaLI7U0a9wW+/oUDQadPHCK6YnXeG/MjX/w4nYhyVfjhi3e5fOHME5W1doSC6qEKVh9QM2VDHqpceLWR0QPr4ykZsPmwmklr85i0Lo/LtzV0rqfExbYgTbuaSpxsFfy1PY8Jq/M4fV3NS3WUuBd9639i6/ce4sc5y7TX1s+Haa+t/5tY/LXV2pI+bZsydfRQ5n31nvba+qf+tTUzO4eKoQEM6Vy4YUhpWLf/KD/8tZo32jZhzphBhPp48ObYqSSkFP2mws7Kkn5tGjJ91ADmf/YW7epW5pMpi9h9/GyhtJv/OcGxC9dwsbctYkuGtWnnHn6bMovXunRk0tgvCfb35b1Pvym2LpWVnY2nuytv9OxSbF3q21//5O8jxxj19kCm/fwt1SqWY9iYr7gTn1BkekP5e9OfHNo+kyavfEKXd+ZjYmrBkj/6PvC+d+P8fsrX60aXd+bT8c2pqPNyWTK+L6rsgjr4ulnDSYy9RNv+4+kxfAXB5ZuxetrbxF4v/UaEpXGulLbNO3bz25SZ9Or8Mn+O/ZqgAD/e++TrBxxTOXi6ufJ6j1eLPab+9+sE/j58jFHvDGLqL99RrVJ53h39RakdU+tOX2Ps1iO8XiuSOT2aEeJqx6CF20lIzyp2HWtTY9YPfFH3t+p1/YY415LS6Dt3C/6Otkzs3JC/XmtO/1qRmD1KIEUIUWJPdKY1b96ckSNHkpxccAFLSkriww8/pFmzZgbLXHGWLVlI85atadq8Jb6+/gwc/DZmZmZsXF90cGLFssVUrlKNji93xsfXj249exMYFMKqFUt1aU6fOkHjJs0pV74ibm7utGjVhoDAIM6dKb0bxew1W2nfqDZtG9Qk0NudkX1ewdzMlOXb9haZ/otBPenUrB5h/t74e7rxUf+uaNRq9p/QVpquxtzh2PnLjOjTiaggP/w93RjZuxPZKhXr9hwstXIUpUaEku3H1Jy5riE2CZbuzsPGEsJ9HtzC0sQYOtYxYsXePLJynl6QfOb2g3SsGU376lEEuTvx0UtNMDcxZun+E8Wuk6dW8+HstQxsURNvx6Irp7eT0/hmyVa+6tYKk1K+sS1YuoLWLZrSqmlj/H19eOfN1zEzM2PNhs1Fpg8PDWZAn540rl8XExOTItPMXbgUV2cnhr89iIjQEDzc3ahWuSJeHg9vYf803Fm3nbNjfuL2so1lnZVCZm79h461ytG+RrT2mOrUDHNTE5buO1bsOnlqNR/OXM3AlrXxdrIv9H3rKhHUDPPD29meYA9n3mvfkLSsHM7dvFMqZViyZAktW7WiefPm+Pr5MXjIEMzMzFi/fn2R6UPDwujbrx8NGjYs9piqVq0avXr1onad0m3tdK8Fy1bxQvMmtGraCH9fb4YN7Ie5mSmrN24pMn14SDADe3enSf06xZbj+Omz1K1RlVpVK+Ph5krDOjWpVqk8p86dL5UyPCv3izmrt2jL0bAmgd4ejOz7kHIM7lVQDi83Pnq9KxqNmgPH9csxvM8runKM6PMK2Tkq1u35p9TKcT/t/qlF2wY1CPRyZ2TvTvnl2ldk+qqRwTSqVp4ALze83Zzp2rIBwT4eHD5z8anlGbQvGU7snkHFRgPwi2yCo0cYDTp9Q0ZqLFdOFn9d9Y1ohE9YA+yc/bFzDqBq87cxNrUk9toRvXTGJuZY2rjo/kzNS/6CVaPRsGHFXF58pS+VazTExz+E/kM/IzHhDgf3bS12vfXLZlO/eXvqNWmLl08gPQeOxNTMnB2bluvSNGzRkbCoyji7eeIfFE7Hbm+SEHebuNhbetuytLLBzsFZ92dialbicgE0qGDC+r9zOH4pj1vxauZszMLWSkG5wAc3QDE1ge7NzZm/OZvM+2I8Gg2kZmj0/soFGnP4fC45TxZjfqC65YzZdDCXk5fVxCRo+GtLDraWCqL8HxwlNzWGrk1MWbhNRWYx9b+cXEjLLPjLfoL8azQa1i6fR7tXelOlZgN8A0IY8M4nJCXE8c/ebcWut2bZXBo1b0eDpi/i5RtI7zdHYGZmzraNKwDISE9j68bldOs7lKgKVQkIjuD1oR9z7vRRzp/Wv+9vXL2I9PQ0WrfvXuh3evQfRpuXehAUEom7py+de76Ju4cPhw7sePzCAtXDlOw4oebsDW19fNleNTYWEO5dfH383E0N529pSEiDhFTYclRNTi54ORes4+Os4MBZNTcTICkddp7QkKUCdwfD9qSavWYb7RvWpG396vnX1pcxNzNh+fb9RaavGhFMo6r3XFtb1NdeW88WNIx6oW5V+ndoQfWoUIPmtTiz1u2kY/1qtKtXhSAvN0b1bIe5qSlLdxR9j6oaHkjjKlEEerri4+rEq83qEOLtzqGzV/TSxSYm8+2cFXz1+isYP4Xg2fxlq2nTvBGtmzTE38ebdwf2xdzMjFWbij5vIkKCePO1bjSpVxvTIhrRZWfnsH3Pfgb2epWKURF4e7jTp+vLeLm7sXRt6dXrNRoNh7bNoEbzgQSVa4qLVzgtuv+P9ORYLhwr/nc7DJxMVI2OOHmE4OIVTvNu35CaeJPb1wqeFW9dOkTF+t1x9yuPnbMPNVq8iZmFLbHXin+eNJTSOFdK2/xlq2jTvDGtmzbE39ebd3X1861Fpo8ICcqvn9fG1KT4Y2rAa69SIf+Y6t21E14e7ixbs6FUyjD777N0KBdAu3IBBDrbMqpZFcxNjFh2/HLxKykUOFuZ6/6crMz1vv5tx3HqBLrzdoPyhLs54GNvTYNgTxzvSyeEKB1PdEf9/vvvuXbtGn5+fjRq1IhGjRoREBBATEwMP/zwg6HzqEelUnHh/FkqVCwYskKpVFKhYmXOnC76Le2Z0yepUKmK3rJKVarqpQ+PiGL/vj3Ex91Bo9Fw9Mghbty4TqXKpdPlSJWby+lL16gRXVBBUyqVVI8O5ei5y4+0jazsHHLz1NhZabvdqFS5AJjdE9RRKpWYGhs/1Qdve2uwsVBwMaagJVC2Cq7HafBxeXDluXU1I87dUHMp5ukFyFW5eZy6HkvNkIJuj0qlgpqhvhy9cqvY9Sas34eDtSUda0QX+b1arWHUnLW81rAKwe6Fu9oakkql4uz5i1SpUF63TKlUUqViOU6eebLWRwB79v9NaHAQn3zzPR279+H1oe+xcl3pVDKeJdpj6jY1Qwu6biuVCmqGPOSYWrcHBxtLOtYs90i/sWjPUWzMzQj1dDFIvvW2r1Jx/tw5KlasqFumVCqpWLEip0+dMvjvlRaVKpczFy5SpULB/6lSqaRKhXKcPHPuAWs+WHR4KP8cPc61GzcBOH/pMsdOnqFG5YolzXIhz8r94m45qkcXDNejLUcYx8492kNZVnYOublqbK3vL0fBw5JSqcTkKd73tOW6To2o+/ZPVAhHz195wJpaGo2G/cfPciXmDpXCS7eL+f1SE6+TmRqHZ1At3TJTcxtcvMsTe/XIA9YsoFbnceHIKnJzMnD1qaj33YXDK5n1RS0W/fQiB9aNJTcns8R5vnP7BsmJ8USVr65bZmllTVBoNOfPFP0SMlel4vKF00SVLxhmT6lUElmhOufPHC1yneysTHZuWo6LmxeOzm56382c+C1DejThs/d7sn3jMjSaktdZnGwV2FopOXutoHV3Vg5cua3G3/3B1fWXG5hx6nIuZ68/vGW4t4sSbxcj9p00fITc0UaBrZWCc9f1y3AtVo3fQ8rQvp4Jp6+qOX+j+CH2KoUYMaaXOcNeMaNldWOKiJE81J3bN0lOjCe6wv3HTxTnHnD8XDp/mqiKBesolUqiKlTTBcAvnT9NXm4uUfds19PbHycXd86dOa5bduPqRZb8NZkB74xBoXx4QFmtVpOVmYGVtd1jl9XeSlsfv7dOna2CG/H6Ae8HUSggyleBibG2Hn/XtTgNkb4KzE21n6N8FRgbwZVYw9XfVbm5nL5c1LU1lKPnLz90fY1Gw/4TZ7ly6w6VwgIfmr40qHJzOXXlJjUiC3oNKJVKakQGcfTC1Yeur9Fo2HfyPJdj7lAlzF+3XK1W89GfC+jVsh5BXm7Fb8BAVKpczl64RNXyBc882rpUNCeesC6Vp84jT63G9L7GCGZmphw7+eTPLg+TEn+djJQ7+IQWDPVnZmGDu18Fbl069MjbycnUttA2tyw4Nz0CKnH24Bqy0pPQqNWcObiK3NxsvIOrF7cZg/gvnit3j6mi6ucnzhTuNfEo8vKKOaZMTTl2yvANH1V5ak7dTqSGX8E5qFQoqOHrxtGb8cWul5mTS+sJq2g1YSXvLNnFhbiChqdqjYadF2/h52DDmwu30+S35fSctYkt524YPP9CiKI90dgoXl5eHD16lNmzZ3PkyBEsLCzo3bs3Xbt2LbbVnaGkpCSjVquxv68rv729A9eLmEwUICkxAXv7wukTEwu63bw+cDC//TKWPj27YGRkhEKhZNDQYUSVK3//5gwiKTWdPLUaRzsbveWOtjZcvhn7SNsYN285zg62uoCDv6cb7k4O/PrXCj7s2xkLM1Nmr9nK7YQk4pJSDF6G4libayve9/cySs8CK/PiK+VRfgo8HBX8ucbw3X8fJDE9kzy1Bicb/TG+nKwtuRRbdNesgxdvsGT/CeYP61bsdqduOYCRUsmr9SoaMrtFSk5JRa1W4+Cg/xDlYG/P1etPflO9GXOb5WvW06l9G7p16siZcxf4deJUTIxNaNGkYQlz/ewqOKb0h9hxsnnQMXWdJfuOM/+9Hg/c9rYTFxg+YxVZKhXOttb8MfBlHKwNPz5dSkpK/jF137XTwYFr168b/PdKS3J+ORzt7z837Lh6/eYTb/fVl9qRnpFJz0HDUCqVqNVq+nXvTLOG9Uqa5UKelftFseWws+HyzcJDuBVl3NwiyuHswG/zVjCybxcszE2Zs3oLsQlJxCc+nfveA8t1q/j9k5aRSashn5CTm4uRUsnw116mZrmix/svLZmpcQBYWOu/yLWwdiYz7cE9VBJizrLij67k5WZjYmpJ0+7jcHArCAQFVWiDtb0nlrauJMSc4cDaH0i+c4mm3ceVKM/JSdoHT1t7/Tzb2jmSnFj0Q2lqahJqdR629vpjhNrZORJz/bLess2rFzB/xi9kZ2Xi7uXHe5/8hvE9ddsOXQcQUb4qpmbmHD+8l5kTviU7K5NmbbqUqFw2ltr6UVqGfpAxLUOt+64olUKM8XJR8uP8R3sBUSPShJgENZdjDD/fi64MmfplSM3UYGNR/HoVgozwclYybnHxQx0cPpdHYmouKRkaPJyUtKphgou9kpnrcx4rj0mJd48f/WPB1t6R5MSi78+pKdrjx+7+48fekVs3tC/CkpPiMTY20Y0tfm+au8elSpXDb99/TNfXhuDs4k5szMPrZ6uXzCYrK5MadZuw5zHf+1nn/58Xro9rsH5Ig0RXO+jdzAhjI20L/gU71MTdc0ldtEs7vMr7LxmTp9agyk+T+ICxzh/Xk9770jIyafXWpwXX1l4vPfVr612JqRnaMtjq96JxsrXm8q3ir7GpGVm0ePcbVLm5KBVKRvZoS82ogjmGpq7ZjpGRkq5NS39OF4Dk1FTy1Goc7qtLOdo9eV3K0sKCqLAQps9fgp+PFw52dmzasZsTZ87h5V56PVbTU7X/71Y2+vcQSxsn0vPviQ+jUavZtvgrPAMq4+xZEJhu/dpPrJ7+Dn98WAOl0hhjU3Ne7Psr9i5FjwtuKP/FcyU5JaXIY0pbP3+yZ1dLS+0xNWP+Yvy8vXCwt2fTjl2cOHO2VI6ppMxs8jSaQi28Ha3MuVzMRGx+jjaMaVmVEBd70rJVzDhwht5zNrOgdwvcbCxJyMgmQ5XL1H2nebNuNEPrl2f3pRjeW7abiZ0bUsXH8A2jRIFHeXktnn1PPIC4lZUVr7/++hOtm52dTXa2fkU4JzsbUzPDdFd9EiuXL+XM6VOMGvM5rq5unDh+jAm//4KjoxMV72uF/m8wbfkG1u85xISPBmNmqn14MzY24rt3+vL5xLk0fn0kRvktDWtXiIBSbJhdzl9BmxoF3WjnbHn8ILetJbSsasTMTbnkPZ15Op9YelYOo+auY0ynJjhYF/3Ud/LabWbvOMy8d14ttUn8ngaNRkNocCD9empfBoQEBXLpylVWrFkvQXIDSs/KYdTsNYzp3PyhAe9qwb7Mf68HSemZLNp7jPenr2DW290KveQRpWvLzj1s3LaTj4YNIcDXh/OXLvPr5Ok45U/g+W/yb7pflMS05RvYsOcgf3w8RK8c/3u7L5//OZcmr4/ASKmkWnQotStEovm3FiSfpbkZc758j4zsHA6cOMuPs5fi5eJE1ciiJ6wyhPOHV7Br6Se6z817jn/ibdk5+9NhyGJystK4dHwd2xeMpHX/GbpAeXj1V3RpHd1DsbRxYc3k3qTEX8XW6cETJN5rz7Y1TB//le7z2x/99MR5fhQ1G7QismINkhPjWLt0Jr9/N4JR30zWDanStnM/XVq/wHBysrJYs2TmYwfJK4ca80rDgnrvnysfv5W9vbWCDvVMGb8si9xHqHqZGEGVUGPWH3i8wHJxKoUY0bF+wQuEqasff7t2Vgra1jHhz5XZDyzDvlMFX8Yk5JGSruGNtmY42ipISCn+XL92ahV9x3+h+/ze6LGPnUdD+WvG73j6+FO3UauHJwZ2b1vHknmTeGfUd4UC9EWJ9lPwQrWCFvtztz15o5O4VJi4Ng8zE4j0VdK2ppIZm/J0gfKG5ZWYmyiYuTmPzGwNYd4KXqqjZPrGPGKLHk74qdFeW98lIyuHAyfO8eOcZXi5OlE1ouwnnH9UVuamzPtkCJnZ2ew7eYEf5q3G28WRquGBnLx8g7kbdjNnzOD/9DMGwEdvv8k3v06gY59BGCmVhAT506Rebc5cMNyQH6f/Xs6mv8boPrd7Y0KJt7l54afExZzjlaFz9JbvWf0z2ZkpdHxzGhbWDlw4upFV097mlbdm4+xZNi9qHuRZOFfuN+qdQXw7bgIv9Xkz/5gKoEm9Opy58HSHsytOBU8nKngWvKAp7+nES1PXsujIRd6sG63rmdYw2JPuVbUvYMJc7TlyM46FRy5IkFyIp+CJg+Rnzpxh3LhxnMrvdh8REcHgwYMJDw9/6Lpff/01n36qP9HeoCHvMHjosIeua2trh1KpJClRf5LOpKREHByLrkDaOzgWmtQzKSkRBwdt+uzsbGZNn8zIjz6lanXt7PH+AUFcvHCepYsXlEqQ3N7GCiOlstBkGgkpqTjd9xb4fjNXbWbaik38PvJNQnz1J/eLCPBhztcfkJaRiSo3Dwdba3qNHktkQNEzqBvCmesarsfl6j7fnZzJylw7ZuRdVuZwu5jJOD0cFVhbKHij9b1d5hX4uWqoHqbki7m5GKA3c5EcrCwwUioKTagYn5aBs03hyTavxSdxMyGFt6YUjGOqzs9c5fd/ZtnwXhy8dIOEtAxafjFZlyZPreGH5TuYvf0Qaz7qa9Ay2NnaoFQqSUzUfzJJTEoqdmKTR+HoYI+/j/6x4+vjzfbdRY+zK7QKjql0veXxqRk4FzGBq+6YmrREt0x3TL07lmUj++DjbA+ApZkJvi4O+Lo4UN7fkxe/nMzSfcfo27RGoe2WhK2tbf4xdd+1MzERx2Im5fw3sssvR0LS/edGconOjT+mzebVl9rRpL52bPVAf19i7txh9sKlBg+SPyv3i2LLkZyKk/1DyrFyE9OXb+S3DwcVLkegL3O+Hp5fjlwcbG147eMfiAgsvfvevR5YLrviJ1NTKpX4uGsfdsL8vLh04zbTVmws1SC5b0RjXH0Kesjl5WqDmplp8VjauuqWZ6bF4egR8cBtGRmbYuukbR3n7BVF3PVjnNg9k7odip5I2SX/dx83SF6xen0CQwu6+OeqtHlOSYrH3tFZtzwlOQGfgKLHGLaxsUepNNKbpBMgOTkBW4f7WhNaWWNpZY27py9BoeUY1L0R/+zdQs36LYvcdmBoNMvnT0KlysHExPSRy3XiUi7f3y4IYhobaYNd1pYKUu5pTW5tqeRmXNHBTm8XJTaWSt7tXPDC3kipINBTSd3yJrw/Pl2v7lQhWDtEyYHThhlq5eTlPK7eLmjZcLf+Z22hIPWeMthYKLgZX3QlzttFgY2lgqEvF7wwMFIqCPDQUDvaiA//zCqy/nc1Vvu7zg8JkrsHNeTV9gXBqdxcbdlTkhJwuPf4SUrANzCk0PoANrba4yf5/uMnKUEXvLazdyI3V0V6Wqpea/LkpATs8o+xk0f/5tqVC+zfpW39e/dF3sDuLWj3ymu89GpB46M929czadyXDBn+FdEVH22ohrM3NNyIv+eYyo+XW5lD2j2tya3MFcQUUx+/S61G1yo8JlGNh6OS6mFKVh9Q42AN1UOV/LEqlzv5QfPbSRp8XDRUDVGy+m/DtHZ54L3vAfcMpVKJj9s919abt5m2YlOZBP4cbCy1Zbhvks74lLQH3r+VSiW+btrjJszXk0u37jBl1Taqhgdy6OxlElLTaf3+/3Tp89Rqxv61mtkbdrH6uw8MXg47GxuMlMpCEyomJJesLuXl4ca4L0eTmZVFekYmzo4OjPnuFzzdXB++8iMKjG6Mu18F3ee797301His7Ap+JyM1Hhevh8cxtiz8jEsnttLprVnY2Be0Tk6Ku8qRHbPoMWIlTh7aa4mLVzg3Lv7NkR2zadL5M0MVqZD/4rliZ2tb5DFV0vq5l4c7v3w1hsysLDIyMnFydOCT//2Ep5vhhyWytzDDSKEoNElnQnpWoXHGi2NipCTc1YFrSWm6bRorFQQ66dcfAxxtOXzj0Xo6CCFK5omC5IsWLaJLly5UrVqVWrW041ju3buXcuXKMW/ePF566aUHrj9y5EiGDdMPiF++/mgTz5mYmBAUHMrRI4eoWbsuoB2X7ejhQ7R+sX2R64SFR3L08EHati/I1+FD/xAWHglAXl4uubm5hd7GGxkp0ahLp1mzibEx4QE+7D9xloZVy+vKceD4WV5pXnx3/ekrNjFl2Xp+HT6QyMDiHzKtLbUPTFdjYjl18SoDX25t2ALcIycXcu7rXpmaqSHQXcntRO3/n6kJeDsr+Pts0f+fl2I0/L5C/6GtXW0j4pJh14m8UguQA5gYGxHh7cq+c9doXE5bKVCrNew7d40udSoUSh/g6sjC9/QnW/ptzW7Ss1V80L4B7vY2tKkSQY0Q/f0zcOIS2lSJoH31SMOXwcSE0OBADh49Rt1a1fPLoObgkWO0f+HRWiwVJToinGs39Lu8Xb9xEzdX52LWEHD3mHJj39mrNC6nrShrj6mrdKlbsVD6AFdHFn7QS2/Zb6t3ao+pDo1wf0AFV63RkPMoTQgfk4mJCcEhIRw5fJjatbUP9Gq1msOHD/Ni27YG/73SYmJiTFiQ9tyoV7MaoC3HP0eP06F1iyfebnZONsr7uuQZKZUGGZv4fs/K/eJuOQ6cOEvDaveU48QZOjWvX+x6M1ZsZMrS9Ywb8YjluKUtx4BOpXffu5e2XN75+0c7tqa2XOd4pVndR96OWqMhR5X78IQlYGpmhalZwYs6jUaDhY0zNy/sxclTGxTPyUrjzvWjhNd4vJbRGo0GdV7xLYkTbmnHA7W0ebxWUBYWVlhY6OfZzsGJk0cP4BuoDX5mZqRx4exxGrUsuv5pbGKCf1A4J4/up3LNhoB2H506eoAmrV8pch3ID2JqNOSqig8qX710Bitr28cKkIN2bOjs5HuvFxpS0tWEehtxM05bVzIzAT83JbuPF/37567n8e0c/Rf8XZuYEZuoZtNBVaG6U41IE05cyis0/MaTylZBtkr/R1LSNYR4GXEr/u58AeDjqmTPiaLLcP6Gmh/+0s/QK41MiU1Ss/VQ8Q0kPJ21EeCUjAdfc01MrXD3LHhhdvf4OXHkAH6B2pcqGRlpXDh7giatOha5DWMTEwKCwzlx5ABVa2pfgqrVak4cPUCzFzoBEBAcjpGxMSeOHqB67cYA3Lx+hfg7MYSEaV/yDB3xDTk5BT1pL547yZ+/fMHH30zA1b3g5d/ubev4c9yXDH7vcypVe/RrSHH18QB3BbeTtP9Ppsbg5QT/nHu8e5VCURB0N8l/GXL/FjQabTpDMTE2Jtzfm/0nz/3rr63FMTE2JsLPk32nztOosrb+r1ar2X/qAp0b13rI2gU0Gg05udoyvFC7EjUi9eeveHPsNF6oVZF2dUun97OJiTGhQQH8c/SEXl3q4NETdGjdvMTbtzA3x8LcnNS0NA4cOsqAXl1LvM27TM2t9SaN1mg0WNq6cO3sHly9tfe97Kw0Yq4coXzd4n9Xo9GwddHnnD+6gZcHz8TOSf9F/N05NxQK/fkXFEqjUqkb3uu/eK4UHFPH7zumSlY/v0vvmDp8lDd6vVribd7PxEhJhJsD+6/G0ihEew1XazTsvxpL50qP9qIhT63hfFwydQLcdduMdHfkcqL+C4+rial42EqvYSGehicKkn/wwQeMHDmSzz7TfyM6ZswYPvjgg4cGyc3MzDC7b2gVU7NHHzu0XYeX+XnstwSHhBISGs6KZYvIys6iaTPtBfXH77/BycmZnr21XWJfbNeRUcPfYeni+VStVpMd27Zw4dxZBg3RBuotLa2ILleBaVMmYmpmhqurG8ePHWHLpg306T/wkfP1uLq1asgnE2YTGeBLVJAvc9ZuIzM7hxcbaFuEjh4/C1cHOwZ3eRGAaSs2MmHhar4Y1BMPF0fduLGW5mZYmmv/PzfuO4S9jTXuzg6cv3qLH2YupkHVctQs//A344a075SaetFK4lM1JKVpaFTBiNQMOH2toJLQo4kRp69pOHBWTU4u3Lmve6YqFzKzNYWWl4Ye9Svz8bz1RPm4Ee3rzqztB8nMUekC2qPmrMPVzoqhL9TFzMSYEA/9ILGNhfb//+5ye2ML7K30h2IxMVLibGuJv+vDu8w+iU7tX+SbH38lLDiI8NBgFi1bRVZWNi2bNgLg67G/4OzkRP9e2qFTVCoVV65px5bOzc0lLj6B8xcvYWFujpenBwAvt2vDkA9GMXv+IhrWrc3ps+dZtW4jwwa/USpleFxGVpZYBRcEzSwDvLGtEE5OQjJZ14qfIPNp6NGwCh/PWUuUjzvRfu7M2pZ/TOVP9Dpq9hpc7awZ2qZeMceUtgXC3eUZ2SombdxLw6ggnG2tSUrPZN7OQ8Qmp9GsQtGtJ0uqQ4cOjP3hB0JCQggNC2PZ0qVkZ2fTrFkzQDuJs5OTE7179wa0x9TVq9qJqHJzc4mPj+fChQtYWFjg6ekJQGZmJjdvFoxfefv2bS5cuICNjQ2uroZrOXSvTu1e4OuffycsOIiIkCAWrlhNVlY2rZo2BOCrH3/F2cmR13u+ml+OXC7fPTdUucTFJ3Lu4mUsLMzx9tBWYmtVq8LMBUtwdXHG38eb8xcvM3/ZKlrnn2+G9qzcL15t3YhP/5hFRKAPUUF+zF2zlcysgnKM+X0mLo52DO6ifREzffkGbTkG98LDxanocuw9hIOtNW5ODly4dpMfZiymQdXy1Cz/4JbQhqTdP3OIDNCWq9D++WO2dv90bgPA1OUbiQjwwdvNCZUqj11HTrJ619+MfK3TU8szgEKhIKp2Tw5v+QNbZz9sHLz5Z8MvWNq44hfZVJdu9aTe+Ec1JbKW9v5xYN1YvEPrYW3viSo7nQtHVnLr0n5avvYnoG0tfuHISnzCGmBmaU9CzBn2rfoGd/+qOHqUrMu5QqGg2YtdWbFgMm6ePji7erFkzngcHF2oXKOhLt3/Ph5I5ZoNafpCZwCat+vGpJ8/wT84ksCQKNavmEN2ViZ1m2jPmdiY6+zfuYHoijWxsXMgIf42qxdNw8TMnPJVtD1GDu/fTnJyAkGh0ZiYmnHi8D5WLpxKy/YPnkviUW07oqJZVVPuJKlJSNXQqoYpKekajl0sCFoMbGfOsYt57DymIlsFMQn6jQ9ycrVjTt+/3NlO28L8zxUGipAXY+exXBpXMSYuWVuG5tVMSMnQcOJywcvc/m1MOXEpj90n8shWFe5lmJOrISOrYLmjrYJKwUacvppHRra29+GLtU24eDOPmITHDfYqaNm2C0vnT8XN0wdXN08Wzp6AvaMzVWoW9AL66qNBVK3ZkOZttOdkq3ZdmfDTZwQERxAUGsna5fPIzsqiQRPtOW1pZU3Dpm2ZPflnrK1tsbC0YsbEHwgJL0dwuDZo5ebhrZeX1JQkQDvB593W57u3rWPCT5/Svf8wgsKidWOom5qaAfrjWj+K/WfU1I1SkpCqJilNQ8PySlIz4fT1gv+37o2UnL6u4e/8wHnjCkrO31STnAFmxhDtr8TfVcHsrdpjKi4F4lM1tK5mxMZDeWTmQJi3gkB3BfO2GbZxUbdWDfhk4lzttTXQlznr8q+t9bUNQkb/MQdXB9sirq3OqFS57DpyKv/a+rJum8lp6cTEJ3Env/fllfy5I5zsbHC2L773z5Pq3qIuoyctJNLfm+gAb+Zs2EVmdg7t6lYG4KM/F+DqYMtbL2ufYyev2kqUvxfeLk7k5Oay8+gZVu05xMge7QCwt7bE/r6h+YyNlDjb2eDvUXpDMbzSrjVf//wHYcGBRIQEsWDFGjKzsmjdRHvefPnT7zg7OfJGD+0L1nvrUqrcXOISEgrVpfYfOoJGAz5eHty4dZvx0+bg6+2p22ZpUCgUVGrQk/3rx2Pv4oedkze7V/+MlZ0rQeUK7nuLfu1FUPlmVKyvbRi1ZcGnnD64krb9fsfU3Ir0FG0DPzNzG4xNzXFwC8Te2Y9N80dTr91wzK3suXB0I1fP7KJd/5IP8fIwpXGulLZX2r3A1z+PJzw4kPCQYBauWE1mVjatmuYfUz/+houTI6/31L680DumVHnExRdxTB08ggYNvl6eXL8Vwx/TZuPr5UnrUhomtFvVUMas2U+kmwNRHo7M+eccmapc2kb7A/Dx6v24WlswpL72PjBx90nKeTriY29Nav6Y5LdS0ulQrmDC1J7VwhixYg+VvV2o6uPK7ksxbL9wi4mdS6cMQgh9TxQkv3XrFj179iy0vHv37nz33XclztTD1GvQiJSUZObMnEZiYiIBgUGM+ewb7POHT4m7E6vXwi8iMop3PxjFrBlTmDltCp5eXoz8+DP8/AN0ad4b/hEzpk1i7HdfkZaaiourG9179qFl6xdLrRzNa1UmMTWNPxauJj45hVA/b8YNH6Drnh0Tn4jyniYZizbuQpWbx/Cfp+ptp3/Hlrzxkra1cFxiCj/OWkp8cirO9ra8UK8a/TqU/G3s49p1Uo2JMbxYwwhzU7gaq2HWZv3xxh1tFFia/zvGjG1ZKYzE9Ex+X7eHuJQMwryc+b1/e93EizFJKfzb53FoVK8OSckpTJ09j8TEJIIC/fn201G6Lmuxd+JQ3tO6IT4hkdeHvq/7PH/JcuYvWU6F6Eh+/Fr7Aiw8NJjPPnyfSTPmMGPeQjzcXHmz/2s0bVh8q8+nya5KNLU2zdR9jvz+QwCuzVjM0b4jyypbALSsFE5iWia/r92Vf0y58PsbLxUcU4kpeuf3wxgpFVy6ncDyAydJSsvE3sqcKF93pg7pQrBH6bTsb9CgASnJycycNYvEhAQCg4L47PPPdZN53omN1StDQkICQwYP1n1etGgRixYtoly5cnz7P2234HPnzjFi+HBdmj8nTgSgadOmDHv33VIpR+N6tUlKSWHqnPkkJCYRHODP/8aMxNHeHoDbcfEolAXnRlxCAv3fKcjjX0tX8NfSFVSIjuTnL7XjWg7t35vJc/7ipz8mk5icjLOjIy+2aEqvzqXzcPGs3C+a16pMUkoaExauJj5JW45fRgzUK8e9k+boyvHTlELleD2/xXtcUgo/zlpCQnIqzg62tK5bnX4dn+59r3nNSiSmpPHHorX5+8eLcR+8oetOHxOnv38ys3P4dtpCYhOSMTM1wd/Tlc8Hdqd5zUpPNd8A5ev3Izcnk11LxpCTlYKbX2Va9J6IsUlBY4bUhKtkpRcMvZSVFs/2BSPISL2DqbkNju6htHztT7xCtMFkpZEJN8/v4cSuGeSqMrGyc8c/qhkVGxmm4UHrDr3Iycpi2u9fkZGeSmhERYaN/kU3bjhog95p+UFIgBp1m5OanMjSuX+QnBiPb0Aow8aMwy5/AlATUzPOnjzEhhVzSU9PwdbOibCoSoz6ZrJukkcjY2M2r57PvMlj0aDB1d2HLn3eoUGzDgYp1+aDKkyNFbzSyAwLMwWXbuUxYUWm3ljdznZKrCwePxBZPcKE5DQNZ66W7uToWw/nYmoMLzUwxdwULseombwqR68MTnYKrCwe/f6Xlwch3krqljfG1BiS0zUcu5THpn+erMVjm449yM7KZMpvX5ORnkZoZAU++OTn/EC0VmzMDV0QG6BmvWakJCexaM5EkhPj8QsM5YNPftINpQLQrd/bKJQKfv5mJLmqHMpVqslrAx9v6IvN65aSl5fH9D++Y/ofBc9U9Rq/gF/9/z1gzaLtPqXBxFjDC9WU2vr4HQ1ztubp1ccdrBVYmsHdtuGWZtCuphHWFtreAreTNMzequZSjPZ7tQbmbc2jcUUlnRsYYWoMiamwbK+a87cMW69vXrOS9t5399rq68W4918vuLbGF3Ftnb6I2IQk7bXVw43PB3TTu7ZuP3iCT/+cp/v84W/aemT/Ds15o2PRwyqVRIvq5UlMTWf80o3EJ6cS5uPBb+/0LihDQpLec2tWdg5fzVxObGL+/cHdhS/6v0KL6uWL+4mnokndWiQlpzBl7sL8upQf348ZoZsY/fadeL1W1HEJifQd9qHu87ylq5i3dBUVoyL45cuPAUhLz2TizHnciU/AxsaaBrWq0b9bZ4yNn3hE2EdStUl/cnMy2fTXaLIzU/AMrEKHAZP07ntJ8dfIvOe+d3TXXAAWjtN/Kdrs1a+JqtERIyMT2r0xkV0rfmD5xAHk5GRg7+xLi27fEBBV+nPVlMa5Utru1s+nzFmgO6a+GzNCVz+PjYvTOzfiEhLo984I3ed5S1cyb+lKKkZH6OrnaRkZ/DlzLnfi7h5T1enXvUupHVMtwn1IzMhm/K4TxGdkEeZiz68v19MNtxKTkqEXQ0jJzuHzdf8Qn5GFrZkJEW4OTO3amEDnghd0jUO8+LBZFabuO813mw/h52DDd+1qUclbenIL8TQoNE/Q/6d169Z06tRJ13rwrqlTpzJv3jzWrVv32Bk5feH6Y6/zb+OVeLyss2AQY083KessGMRw+0llnYUSiw999C5y/2aHo55eq4TS0mRZ6QRwn7Yb4U0fnug/wDLn0Xsf/VtZp8WUdRYMQvMfnzgMQKEu3cDh0zL+quEDPGWhbmT6wxP9yy3Y9N8/L0A7fNh/XadG2Q9P9B+w9uDjtyT/N3o76PGfE/9tjFSl2yPjaUl19C/rLJTY4iulM8TM09bdcVVZZ8Eg0m09yzoLJWazY1FZZ8EgrPp/8fBEQk/KTw+fI1Hos3277CZELy3KhyfRWr58ue6vbdu2DB8+nMGDBzNr1ixmzZrF4MGDGTFiBB06GKY1jRBCCCGEEEIIIYQQQoj/vt9++w1/f3/Mzc2pUaMG+/fvf2D6pKQkBg0ahIeHB2ZmZoSGhrJ69epSy98j9ztp37697t8KhQKNRsPvv//O77//rpdu0KBBDBgwwGAZFEIIIYQQQgghhBBCCPHf9NdffzFs2DD++OMPatSowU8//USLFi04c+ZMkfOT5eTk0KxZM1xdXVm4cCFeXl5cuXIF+/xhmUrDI7ckV6vVqNVqsrKyaNCgAadPn9Ytu/cvL+/Z6LIshBBCCCGEEEIIIYQQomTGjh1L//796d27N5GRkfzxxx9YWloyZcqUItNPmTKFhIQEli5dSp06dfD396dBgwZUqFCh1PL4yEHyu0xNTTl27BhK5WOvKoQQQgghhBBCCCGEEOI5kZOTwz///EPTpgVzpCmVSpo2bcqePXuKXGf58uXUqlWLQYMG4ebmRnR0NF999VWpNs5+okh39+7dmTTpvz8pohBCCCGEEEIIIYQQQohHl52dTUpKit5fdnbRE6bHxcWRl5eHm5ub3nI3NzdiYmKKXOfixYssXLiQvLw8Vq9ezccff8wPP/zAF1+U3sS0jzwm+b1yc3OZMmUKGzdupEqVKlhZWel9P3bsszfDqRBCCCGEEEIIIYQQ4tmiUCjKOgv/OV9//TWffvqp3rIxY8bwySefGGT7arUaV1dXJk6ciJGREVWqVOHGjRt89913jBkzxiC/cb8nCpIfP36cypUrA3D27Fm97+TAEkIIIYQQQgghhBBCiGfTyJEjGTZsmN4yMzOzItM6OztjZGTE7du39Zbfvn0bd3f3Itfx8PDAxMQEIyMj3bKIiAhiYmLIycnB1NS0hCUo7ImC5Fu2bDF0PoQQQgghhBBCCCGEEEL8y5mZmRUbFL+fqakpVapUYdOmTbRv3x7QthTftGkTgwcPLnKdOnXqMGfOHNRqtW5ezLNnz+Lh4VEqAXJ4wjHJhRBCCCGEEEIIIYQQQoiHGTZsGH/++SfTp0/n1KlTDBw4kPT0dHr37g1Az549GTlypC79wIEDSUhIYOjQoZw9e5ZVq1bx1VdfMWjQoFLL4xO1JBdCCCGEEEIIIYQQQgghHqZz587cuXOH0aNHExMTQ8WKFVm7dq1uMs+rV6/qWowD+Pj4sG7dOt555x3Kly+Pl5cXQ4cOZfjw4aWWRwmSCyGEEEIIIYQQQgghhCg1gwcPLnZ4la1btxZaVqtWLfbu3VvKuSogQXIhhBBCCCGEEEIIIcTzSSmjUQsZk1wIIYQQQgghhBBCCCHEc0yC5EIIIYQQQgghhBBCCCGeWxIkF0IIIYQQQgghhBBCCPHckiC5EEIIIYQQQgghhBBCiOeWBMmFEEIIIYQQQgghhBBCPLeMyzoDQgghhBBCCCGEEEIIURYUSkVZZ0H8C0hLciGEEEIIIYQQQgghhBDPLQmSCyGEEEIIIYQQQgghhHhuSZBcCCGEEEIIIYQQQgghxHNLguRCCCGEEEIIIYQQQgghnlsSJBdCCCGEEEIIIYQQQgjx3DIu6wwIIYQQQgghhBBCCCFEmVBIG2IhLcmFEEIIIYQQQgghhBBCPMckSC6EEEIIIYQQQgghhBDiufWvGW7FSp1S1lkosXRrt7LOgkEYGz8b707yblwv6yyUmElgdllnwSCaLHu3rLNQYpva/VDWWTCIxlPjyjoLBqEOiizrLIh8RvG3yjoLJaa2dSrrLBhEXp6mrLNgEIGK82WdhRJLSfQu6yyIfC5GiWWdBYO4dDanrLNgEMZuCWWdhRLLtXk27hlKdW5ZZ6HEsnOejfueScJ/vy4FYJOnKusslJiRk0tZZ0EIUYaejWioEEIIIYQQQgghhBBCCPEEJEguhBBCCCGEEEIIIYQQ4rn1rxluRQghhBBCCCGEEEIIIZ4qpaKscyD+BaQluRBCCCGEEEIIIYQQQojnlgTJhRBCCCGEEEIIIYQQQjy3JEguhBBCCCGEEEIIIYQQ4rklQXIhhBBCCCGEEEIIIYQQzy0JkgshhBBCCCGEEEIIIYR4bhmXdQaEEEIIIYQQQgghhBCiLCgU0oZYSEtyIYQQQgghhBBCCCGEEM8xCZILIYQQQgghhBBCCCGEeG5JkFwIIYQQQgghhBBCCCHEc0uC5EIIIYQQQgghhBBCCCGeWxIkF0IIIYQQQgghhBBCCPHcMi7rDAghhBBCCCGEEEIIIUSZUCrKOgfiX0BakgshhBBCCCGEEEIIIYR4bkmQXAghhBBCCCGEEEIIIcRzS4LkQgghhBBCCCGEEEIIIZ5bEiQXQgghhBBCCCGEEEII8dySILkQQgghhBBCCCGEEEKI55ZxWWdACCGEEEIIIYQQQgghyoJCKW2IhbQkF0IIIYQQQgghhBBCCPEckyC5EEIIIYQQQgghhBBCiOeWBMmFEEIIIYQQQgghhBBCPLf+s2OSL1u5mvmLl5KQmERQgD+D3+hHeFhokWkvX7nKtNlzOXf+Ardj7zCwfx9eaveiXprps+cxc+5fest8vL2Y+sevpVYGgCWr1jFv6QoSEpMJ8vdl6Ou9iQgNLjLtpavXmDJnAWcvXCQmNo7BfXvSqW1rvTQZGZlMnjOfHXsPkJicTEiAP0P6v0ZESFCplgOgfrSCSkEKzEzgehys+VtNYlrx6SsHK6gcrMDeSvv5TjLsPKHmwi3tZzsrGPyiUZHrLtqVx+lrhs3/X4fPM+Pvs8SnZxHqYscHjSoR7eFYZNrlJy7zybq/9ZaZGinZO7Sj3rKL8Sn8suMYB6/fIVetIdDJlu9erIWHraVhM/8Ai1evZ+7SVSQkaY+xt/v1IjK06ONh+frNrNu6k4tXtf+5YUEBvN6tc7HpS8u8nYeYvvlv4lLTCfV0YUTHxpTz83joemsOnmbEzFU0ig7ip77tdcvHr93N2kOniUlKxcTIiEhvNwa/UJfyj7DN0uZYtyqB7/bFrnI05p6u/P3Sm9xevqmss6Uz78Bppu85TnxaJqFujgxvWZ1yXi5Fpl125Dxjlu/SW2ZqpGT/hz10nzedusKCg2c4dSuB5Mxs5vV/kXD3os8zQ/pr425mrNlOfHIqob4efNC9HdGBPkWm3fT3caas3My12/Hk5uXh6+ZM95b1aVOnsi7NH0s2sH7fEWISkjAxNibC34tBL7WgXJCvlOEh5u08wvStfxOXmkGopzMjOjSinK/7Q9dbc+gMI2atoVFUID/1aVtkms8XbmLhnmO8364+3etXLjKNofy1ZR/T1+0kPjmNUB93hnd9gegA7yLTbjp4gsmrt3MtNkG7P1yd6NG8Dm1qVdRLd/FWLD8vWs/Bs5fJzVMT6OHK9wO74OFkX6plqReloGJg/v07Htb98+D7d6UgBZWDFNjl37/jkmHnSTUXY/TTeTlB/Wglnk6g0cDtJPhru5rcPMPm/1mqS7VrYEn9SuZYmis5f03FzDVpxCYU/x/Wtr4l7RpY6S27FZfLR+MTi0z/dlc7ygWb8uv8ZA6dyTFo3u96FsqwfOUqFi5aTEJiIoEBAbw54I0HPGdcYcas2Zw/f4HbsbG80b8fHdu300uzYtVqVq1ew+3btwHw8/OlW9cuVKtatVTyf6/2Da2oX7lgf8xYlfrA/dGugRXtGhbeH6N+S9B9/qCXPeH+pnpptvydycxVqYbNPDBv699M37CH+JQ0Qr3dGN65BeX8vYpMu+nQaSav3cXVOwnk5qnxdXWkZ9MatKlRXpcmIyuHn5duZsuRMySnZ+LlZE/XRtXoVL+KwfP+IPM37GTmqs3EJ6cS4uvJ+z07Eh3kV2TazQeOMnX5Bq7djtOWy82Zbq0b8kLdak81z4vWbGTu0tX5zxQ+vNOvB5HFXBeXb9jC2q27uHj1OgBhQf680a2TLn1ubi4T5yxi78Ej3Lwdi5WlJVXLRzGwxys4OzqUajk0Gg0H1o/j1L4FZGem4O5fmfodx2Dv4l/sOsd3z+XEnrmkJt4AwNEtmCrNBuEXXh+ArIwkDqwfx7Wzu0hLvIWFtSMBUU2o1mIoZhY2Bi/DvB0Hmb75AHEp6YR6uTLipSaP+Kx0ihHTV9KoXDA/9esAgCovj19X7WTnyYtcj0/GxtyUGmF+DH2xAa521gbP+72ehbrtvD3HmL79MHFpGYS6OzGibT3K+bg9dL01R84xYt4GGkUG8FOPVnrfXYxN4Ke1e/nn4k1y1WqCXB34oXtLPOwNfywJIfQ9UZB86tSpWFtb06lTJ73lCxYsICMjg169ehkkc8XZsn0nf0yaytBBA4gIC2XRshWMGP0ZUyf8ioO9faH0WdnZeLi70aBObcZPmlrsdv19ffjfl5/qPhspiw7QGsrmHbv5bcpMhg3sR2RoMAtWrOa9T75m1u9jcbC3K5Q+KzsHTzdXGtauya9TZhS5zf/9OoFLV68z6p1BODk6sGHrDt4d/QXTf/0BF6fSC0TVCldQLVTBin1qktKgQTklXRsqmbBaTZ666HVSMzRsOaIhIRUUCijvr6BTXSWT1qmJS4GUDPhpqX4lvlKQgprhCl0g3VDWnbnG2G1H+bBJZcp5ODL74DkGLd7Bkt4tcLQ0L3Ida1NjFvduqfusuO/7a0lp9P1rK+2i/RlQOxIrUxMuxqdgZvz0OnBs2rmHX6fO5t0BfYgMDWLBirW8+9k3zPn1+yKPscMnTtG0Xi2iw3tiamLK7CUrePfTb5jxy7elevzca+2h03y/dBsfdWpKOT8PZm/7h4ETFrFsZB+cbIp/uXAjIZmxy7dRObDwg5OfiwMjOzbB28mOLFUus7b9w8A/FrJiVF8crZ/eC4uiGFlZknL0DNemLaLqwt/KNC/3W3fiEj9sOMCo1jUp5+XC7H0neXPORpa92R5HK4si17E2M2Hpmx10n+8/LzJVuVTycaN5pD+frdxTirkvsG7fEcbOW8mHvTpQLtCX2et3Muj7ySz55j0cbQtX/u2sLOj7YmP8PVwwMTZmx+FTfDp5AY62VtQuFwaAn7szw3u0w8vFkWyVitnrdjLo+0ks+/YDHIrYppRBa+2hM3y/fDsfvdyYcr7uzN5xiIETl7BseK+Hn98rdhR5ft+16dh5jl25hYutVbFpDGXdgWP8MH8No7q3JTrAmzkb9/DmT9NZ+vnQYvaHJf1aN8DfwxkTI2N2HD3DJ9OW4GhjRe3oEACuxSbQ59tJtK9bhYFtG2Nlbs6Fm7cxMynd9gw1wxVUDVGwcr+apHRtULtzfSV/rn3w/XvrUQ0JadpzPNpfwct1lEzZoL1/gzZA/ko9JXtOa9hwSINaA652CjQaw+b/WapLtaptQdPqFkxelkpcUh7tG1ox7FU7Phqf8MAXCzdic/l+VpLus7qY/dashgUaQ++A+zwLZdi6fQcT/5zEkMGDCA8LZcnS5Yz6eDSTJ/6BfRHPGdnZ2Xi4u1O/bl0m/DmpyG26ODvT57VeeHl6okHDho2b+OTzL/ntl5/w9ys6MGoIrepY0rSGBZOWphCXmEeHRta8292eUb/FP3B/XI/N5fsZSbrPanXh//Nt/2SyZEu67nOOyvD7Zd3fJ/hh0QZGdW1FuQAvZm/ez5u/zGXZJwNxLOJab2tlTr9WdfB3c8bEWMn2Y+cZM2OF9lobqQ3Ofr9oAwfOXObL3u3wdLJnz8mLfD1vDS52NjSsUPSLEENbv/cQP85eysjenYgO9mPu2m0M+XYCi74biaNd4SCYrZUlfdo2w9/TDRNjI3YcOsFnE+fhaGtDrfLhTyXPm3bu5depc3jvjdeIDA1i/sp1DPvsO+aO+x8O9raF0h86fpqmdWtSLjwEUxMTZi9ZxbBPv2Pmz1/h4uRIVnYOZy9eplendoT4+5KSls7PU2Yx/OsfmfzdZ6ValsNbJ3Fs50wad/4GW0dv9q/7mZWT+tHlvVUYm5gVuY61vRs1W7+LnbMfoOHM30tZO20Qnd5ejKN7COkpsaQnx1K7zQc4uAaTmnST7YvGkJ4SS4uevxg0/2sPnub7JVv56JVmlPP3YPbWfxg4fgHLRvXFyab4OtCN+GTGLt1K5SD9F/pZObmcvnab11vUIszTlZTMLL5dvJmhfy5m7ns9DZr3ez0Lddu1R8/x/apdfNS+AeV83Ji96ygDp6xk2btdcXrAM+aNxBTGrt5NZf/CLzauxSfz2h9L6FAtgoFNq2FtZsqF2wmYGpdubEoIofVE0bqvv/4aZ2fnQstdXV356quvSpyph1m0dDmtWzSjZbMm+Pn68PagAZiZmbF2Q9GtL8NDQ3ijz2s0alAPkwc8bBoZGeHo4KD7s7MrfMM3pPnLVtGmeWNaN22Iv6837w7sh7mZKas3bi0yfURIEAN7d6dJ/dqYFlGO7Owctu/Zz4DXXqVCVATeHu707toJLw93lq3ZUKplqR6mYOcJDWdvQGwyLN+nxsYCwrzvD5EVOHcTLtyCxDRISIWtxzTk5IKXs3YdjQbSs/T/wrwVnLqmQZVr2PzP/ucsHaIDaBftT6CTLaOaVsbc2Ihlxy8Xv5JCgbOVue7PyUo/mP7bruPUCXDn7frlCXd1wMfemgZBnsUG3UvDX8vX8GKzRrzQpAEBPt68N6AP5mZmrNq0rcj0o98ZRIdWzQgJ8MfP25Phb/ZHrVHzz9ETTy3PM7f+Q8da5WhfI5ogdyc+6tQMc1MTlu47Vuw6eWo1H85czcCWtfEuosVl6yoR1Azzw9vZnmAPZ95r35C0rBzO3bxTiiV5NHfWbefsmJ+4vWxjWWelkJl7T9KxUgjtK4YQ5GLPRy/UwtzEiKWHzz9wPWdrC92fk7V+ML1N+SDeqF+BGgGepZl1PbPX7aBDg+q0q1eNQC83RvXqgLmpCcu2HygyfdWIIBpXiSbQ0w0fVydebV6XEB93Dp+9rEvTqlYlakSF4O3qRJCXO8O6tiEtM5uz12OK3KaUQWvm9oN0rBlN++pR2vP7pSaYmxizdH/x15g8tZoPZ69lYIuaeDsWfV++nZzGN0u28lW3VpgYlf6LyFkbdtOxXlXa1alMkKcro7q/qL1O7TpYZPqqYQE0rhxJoIcrPq6OvNq0FiHebhw6f0WX5telG6hbLpS3X25BuK8nPq6ONKwYUeSDoiFVC1Gw65SGcze1PbpW7tfev0O9ir9/n78FF2Ly799psP249v7t6VSwTpOKSv45r2HvaQ1xKdr7/OnrmmID70/qWapLNa1uwcodGRw+m8P12DwmL0vF3kZJ5fCigzZ35akhJV2j+0vLLBys9HEzonlNC6auMHxL33s9C2VYvGQpLVu2oEWzpvj5+vLW4DcxMzdj3fqi939YaCj9+/ahYYP6mJiYFJmmZo3qVK9WFS8vT7y9vOjdqyfm5uacPn2mNItCsxoWrNiezuEz2v0xaWnKI+0PtVpDSrpa91fU/shR6afJyjF8kHzmpn10rFOJ9rUrEuThwkddW2uvtXsOF5m+Wqg/jSuGE+jhjI+LI90aVyfEy41D5wu6nx65cJ0Xa5anWqg/Xk72vFyvMqFebhy/fMPg+S/O7DVbad+oFm0b1CDQy52RvTthbmbK8m37ikxfNTKYRtXKE+DlhrebM11bNiDYx4PDZy4+tTzPW7GWF5s15IUm9Qnw8eL9N17D3MyMlZuLfqYY885AOrZqSkiAX/4zRV/UGjV/Hz0JgLWVJT99MpwmdWrg6+VBdFgww/r15MyFy8TciSu1cmg0Go7umEGVJgMIiG6Ck2cYjbt8S0ZKLJdOFF8X949sjF9EA+xd/LF3CaBGq3cwMbXk9tUjADi5h9Ky1zj8Ixtj5+yLd3BNarR8h8snt6DOM+yD68ytf9Oxdnna1yxHkLszH73SXHte7D1e7DraZ6WVDGxVB28n/RfINhZmTBj0Ci0qhePv5kh5f09GvtSEk9ducyshxaB5v9ezULedueMIHatF0r5qBEFujnzUvgHmpsYs/ft0sevkqdV8+NdGBjatVmS9dtz6fdQN8+OdVrWJ8HTBx8mOhpEBDwy6CwNRKOTvcf+eQU/0JHn16lUCAgIKLffz8+Pq1aslztSDqFQqzp6/QOWKFXTLlEollSuW52QJK5o3bt6ic88+dO87gK+++5HbsaUXQFOpcjl74RJVKpTTLVMqlVSpUI4TZ84+0Tbz8vLIU6sxva+CbmZqyrFTxV+oS8reCqwtFFy+XVA5zlbBjXhtS7JHoVBApK8CE2O4EVd0JdvdAdwdFBy+YNhKuCpPzanbSdTwc9UtUyoU1PBz4+it+GLXy8zJpfWfq2k1cRXvLNvFhbhk3XdqjYadF2Pwc7DmzUU7aDJ+BT3nbGLL+adXAS84xqJ1y5RKJVXLR3PizLlH2kZ2Tja5eXnYWJd+y0wAVW4ep67fpmZoQZc4pVJBzRBfjl4pvvvAhHV7cLCxpGPNcsWmufc3Fu05io25GaGeRQ8bIrRdL0/ditcLZisVCmoEeHL0evHXxsycXFr9spAWPy/g7b82cz626O7yT4sqN5dTl29QIzJEt0ypVFIjKpijFx5+v9JoNOw7eZ7Lt+5QOazwfe/ubyzeug9rC3NCfQw/hM+zUAbtb+Rx6nosNUMKutEqlQpqhj7k/F6/DwdrSzrWiC7ye7Vaw6g5a3mtYRWC3R/xplMCqtxcTl25SY2IQN0ypVJJjYggjl54+DhgGo2GfacucDkmjiqh/gCo1Wp2Hj2Lr5sTb/44ncbDvqHHVxPYcuhkaRUDKP7+ffMx798RPvn373jtdizNwMtJQXoW9Gis5K22Sro1VOJduH1FiTxLdSlneyX2NkacvFQwfEhmtoaLN1QEeT24N4GboxE/vO3IN4Md6d/eBkdb/eq9qTG83sGW2WvSSEkvvVbYz0IZVCoV586fL/ScUalixRI/Z9yVl5fH1m3byc7KIiKi9FoBu9zdHxdVumWZ2RouXlcR5FN0MP8uN0djxg5z4tu3nOjfwbbQ/gCoWc6cn9935rOBjrzUxApTA3d6UeXmcerqLWqEF9y3lEoFNcL9OXrx4fVpjUbDvtOXuHw7nsohBfXKCkHebD16lttJKdphN85c5kpsArUiAx+wNcNR5eZy+tJ1akQVtFpXKpVUjwrh6D0vTouj0WjYf/wsV2LuUCn86QyHqL3WXqZq+SjdMu0zRSQnzjy44cRdd58pbB/Q0jktIwOFQoGNVek9d6QmXCcj9Q7eIbV1y8wsbHD1Lc/tK4cfaRtqdR7nDq9ClZOBm1/FYtNlZ6Viam6N0shwJ4cqN49T12KoGVrQA0Vbl/Lj6OWbxa43Ye1ubV2qVvli09wrLSsbhQJsLB/8Qu1JPQt1W1VuHqdu3qFmcEHLfKVSQc0gb45eLT4oP2HT3zhYWdCxWmSh79RqDTtOX8HP2Z4BU1bQ8IupdPttIZtPPL0XYkI8757oiu3q6srRo0fx9/fXW37kyBGcnEr3ATU5JRW1Wl2oC62DvT3Xrj95ADIiLIT33xmCj5cX8QmJzJz7F+8MH8Wk337G0rLoYQVKIjklhbwiy2HH1Scsh6WlBVFhIcyYvxg/by8c7O3ZtGMXJ86cxcv94eO9Pqm7DajTs/SXp2dpsH7If52LHbzWVImxEeTkwsKdBV2171cxUMGdZA03io9bP5GkzGzyNJpCLbwdLc24XMzbcz8HG8a0qEqIsx1p2Spm/HOW3vO2sKBXc9xsLEnIyCZDlcvU/Wd4s04UQ+uVY/flGN5bvoeJnRpQxaf0g7PJqankqdU42t1/jNly5Ubxlah7jZ8xD2cHB6pWKDo4ZWiJ6ZnkqTWFugo62VhyKTahyHUOXrzOkn3Hmf9ejyK/v2vbiQsMn7GKLJUKZ1tr/hj4Mg7yRr5YiRna88LJWv+8cLIy5/I9L4Tu5e9kyycv1iHEzYG07Bxm7DnBa9PWsGhAO9yewhAYRUlKzcg/D/Rb4zra2nD5VvHB/tSMTFq+8xWq3FyUCiUjeranZrR+N+zth08xcvwcsnJUONvZMP79fjg84OHveS4D3Ht+6593TtYPOr9vsGT/CeYP61bsdqduOYCRUsmr9SoaMrvFSkzL3x/3tfB2srXmckzxrd9SM7Jo8cF3uv0xslsbakZqx81OSE0nIzuHqWt2MKh9U4a+1JxdJ87x7vh5THy3N1WLeQAsqWLv39karB7S6cnFDno2Lrh/L96lJj7/lnl3rpF6UQo2HdEQm6Qh2l9B1wbaIdUeNN7543iW6lJ21tog5P0B4JR0NbbWxbdpuXgjlynLU4iJz8POWknb+laM6GXP6AmJupa9nZtbc/66isNnS2f87ruehTKkpKSgVquxt9cfE9nB3p5r166XaNuXLl/m7XffJycnBwsLC0Z/NAo/39IbJ9dWtz/0u2+kpKuxs3rQ/lAxeVkKMXG52NkY0a6BFSN6OzB6fIJuf+w7lkVcspqk1Dx83Ix5uak17k5G/DbfcK1OtddaDU731R+cbK25fLv4h4HUzCyaj/wZlSoPpVLBh11bUeuel5ojXmnBZ7NX0WLkLxgrlSiUCkZ3e4EqIaU37M29klLT8+/p+sOqONrZcPlWbLHrpWVk0mrIJ+Tk5mKkVDL8tZepmT/ERGnTPVPcN6yKo70dV2482hiYv8/4S/tMcU+g/V7ZOTmMnzmfpnVrYlUKz953ZaRq600WNvoxC0trZzJSH9yCPf7WGRb/2pW83GxMTC1p2etXHN2Knv8iMz2RfzaOJ7LGK4bJeL5i61IPela6cJ0le48x/4NHGxI3W5XLT8u306pyBNbmpRMkfxbqtokZWdp9YX3/vrDg0p2iGwkdvHyLJX+fYv5bRR8XCemZZOSomLLtIIOb1+DtlrXYdfYqw2avZVK/dlR9wLCDQgjDeKIgedeuXXnrrbewsbGhfn3tZBXbtm1j6NChdOnS5aHrZ2dnk52drb8sJwczU9Ni1ih91asWTNYSGOBPRFgor/Z5nW07d9GqedMyy9fjGvXOIL4dN4GX+ryJkVJJSFAATerV4cwFw719jPJT0LpqQdeKv7Y/ed/p+FSYtE6NmQmE+yh4sYaSWZsLB8qNjbS/u/NE6Y5D+agqeDpRwbOgclXe04mXpq1j0dGLvFknWjdeZsMgT7pX0d64w1ztOXIznoVHLz6VIHlJzVq0nE079/DL5x+V6bn5IOlZOYyavYYxnZs/NOBdLdiX+e/1ICk9k0V7j/H+9BXMervbA8dBFo+ngrcrFbxd9T53HL+Uhf+cZVCjSmWYs8dnZW7G3M+GkpmVw/6T5xk7dyXeLo5UjShotVUtIoi5nw0lKTWdJdv2M/z32cwYPbjUh8d4VP/1MqRn5TBq7jrGdGqCQzFvXE9eu83sHYeZ986rKP7lXf6szE2ZN/pNMrNy2Hf6Ij/MX6vdH2EBqO/eMyqG072ZtnVbmK8HRy5cZeG2AwYLkkf5KmhZpeD/af7Okt2/p2zQ3r/DvBW0qa5k1lZtoPzurjh0UcOxy9qy3T6swd9VQfkABduO/Tvu5cV5GnWpGtFm9HyhIEj289yiXz4+zPELBUHj67F5XLyRzP/ecqRqpBk7D2dRIdSUCH8TPv3T8L16noUyPE3eXl78Pu5nMtIz2LFrF9+P/ZHvvv3aYIHymuXM6NmmYH/8NOfJ9sex8/ftj+sqvnvbiWpRZuw4pH2jtu1gwZu1G7F5JKWq+aCXAy4O6dxJNPDMvI/JysyMvz7sT0Z2DvvPXOb7hRvwcranWn7PnblbD3Ds0g1+HvgKHo52HDx/la/nrcXFzpqaEU+nNfmTsDQ3Y86X75GRncOBE2f5cfZSvFycqBpZdJD232Tm4hVs2rWPcZ+NLPKZIjc3l9Hf/wYaDe+98ZpBf/vswRVsWzRG9/mFPn888bbsXQJ45Z0l5GSlcuHoOjb/NYJ2A2cWCpTnZKWxevIbOLgFUbX54Cf+PUNIz8ph1KzVjOnS4pEaB6ny8nh/2nI0aBj1SrOnkMPH81+u26Zn5zBq/kbGdGyIQzFzO92tDzaKDKBHXW2PpnBPZ45cjWHBvhMSJBfiKXiiIPnnn3/O5cuXadKkCcbG2k3k5eXRq1evRxqT/Ouvv+bTTz/VW/b24DcZ9tagh65rZ2uDUqkkMUm/4peYlISDg/2jF+IhrK2t8Pby5MZNA88Qmc/O1hajIsuRjGMJyuHl4c4vX40hMyuLjIxMnBwd+OR/P+Hp9vAZlh/VuRsaJsUXPODeHf7VyhzS7mmNZmWu4Hbigx+E1Wp0LcpiEjV4OmonAF3zt/564T4KTIzQPWwbkr2FGUYKBQkZ+k3pEjKyC40zXhwTIyXhrvZcS0rXbdNYqSDQSb/FRYCjDYdvGrgpfDHsbGwwUipJSL7/GEvBqYjJzO41d+kqZi9ewY+fjiTYv/RaOd3PwcoCI6WC+NR0veXxqRk4F9ES+Vp8EjcTUnhr0hLdsruVi8rvjmXZyD74ONsDYGlmgq+LA74uDpT39+TFLyezdN8x+jatUXoF+g9zsNSeF/Fp+udFfHoWzg/rIpLPxEhJmLsj1xJLbzzDh7G3scw/D/SbriakpOJUxORYdymVSnzdtGNDhPl5culWLFNWbdGrhFuYmeLr5oyvmzPlg/1oN/x/LN1+gD5tGkkZilBwfmfoLY9Py8C5iBY+uvN7ynLdMt35/f7PLBvei4OXbpCQlkHLLybr0uSpNfywfAeztx9izUd9DV8O6/z9kaK/P+JT0nB6wAOYUqnE11X7cjXM14NLt+4wZfV2qoYF4GBtibGRkkAPV711At1dOHTecMPYnbup4WZC0ffve1uTW5kpuJ30ePdvD0cF1UIUrP1Ho6sL3N/pJC5Fg50B30v+l+tSR87m8OmNglZ/xsbaNwu2VgruPdVtrZRci3n08WwzszXcTsjD1VE7wVeEvwkujkaM+0B/rJs3X7bl7FUV3818skDqs1KG+9na2qJUKklK0g/Ia58zHIpZ69GYmJjg5akdwiwkJJgzZ8+xdNlyhg4xTBDt8JkcLl4vyHf+Ixq2VkqS0wpeiNlaKbl6+zH3R3zB/ijKxRvaIV1cHY0MFiTXXmsVxKfcVydMScP5gddaBb6u2gl2w33cuXQrjilrd1Mt1J+sHBXjlm1h7BudqF9OO8xDqLcbZ67dZsbGvU8lSG5vY5V/T9cfWz8hORWnB8yHpVQq8XHXNrIJ8/Pi0o3bTFux8akEyXXPFEn69bmEpOSHPlPMWbqa2YtX8dMnHxT5TJGbm8vH3/9GzJ04fvlshMFbkftHNsLNt2CIkbxc7UugzNR4rGwL7rkZaXE4e0Y8cFtGxqb5E3eCi3c0sdeOc2zHDBq8XDDRaE5WGisn9cPEzIqWvX7FyOjBQxs9rmLrUqnF1KXiErmZkMxbfy7WLdPVpd75nmWj+uLjrL22qfLyeH/qcm4lpPDn4M6l1oocno26rYOluXZfpN2/LzJxLqIR1rX4FG4mpvLWjNW6Zbp9MWo8y4a9irudNcZKJYGu+vebABcHDj9gaEIhhOE8UZDc1NSUv/76iy+++IJDhw5hYWFB+fLl8XvE2dlHjhzJsGHD9JbFXnu01jkmJiaEBgdx8MhR6tTSBrfUajWHjhyjXZtWj1eQB8jMzOTWrRicGjUw2DbvZWJiTGhQAP8cPU69mtUAbTkOHj1Oh9YtSrx9C3NzLMzNSU1L48Dho7zR69USb/OunFzIua+rdFqmBn+3godqU2PteKYHH22YOh2FAoyKqINXDFRw9iZkZBf+rqRMjJREuNmz/2osjYK1b2fVGg37r8bSueKjjfWXp9ZwPi6FOgHuum1GujlwOVG/Anw1MQ2Pp9RyueAYO0H9GlUB7TH2z7HjdGzVvNj1Zi9ZwcyFy/hh9HDCg59uixoTYyMivN3Yd/YqjfMfXtRqDfvOXaVL3YqF0ge4OrLwvq6Dv63eSXq2ig86NMLdvvhKllqjISe3bFs7/ZuZGBkR4eHE/su3aByufahRazTsv3SLLtUebQzVPLWa87GJ1L1nrL6nzcTYmAh/L/afPE+jKtouvmq1mv0nz9O5Se2HrF1ArdGgUj34eNGoNeQYelZhno0ywN3z25V9567RuJz2oV57fl+jS50KhdIHuDqy8L3uest+W7Nbe363b4C7vQ1tqkRQI0T/oXvgxCW0qRJB++qFx3o0TDmMifDzZN+pizSqFJlfDjX7T12kc+NHf+mm0WjIyc3VbTPS34srt/W7el+5HY+H04MDEI+j2Pu3q4LYe+7fnk5w8MLjbVtBQdA9OR1SMzTc954YRxsFF2MM97L7v1yXysrRFJroMCk1j4gAU67dzgTA3FRBoJcJW//JKmoTRTIzAVcHI/Yc1VaYVu/K0LX+veuzAY7MW5/OkXMlq1Q9C2W4n4mJCSHBwRw6fJTatWoB2mPq8OEjtG3zgkF/S6PRoFKpHp7wEWn3h/41Pik1j8hAE67lB8XNTRUEepuw5e/MR96umYkCF0cjko8W3/PE110bCExONVy9ysTYiAhfD/afuUTjitphRdRqDfvPXKZLw6qPvB31Pdfa3Dw1uXlqlPf1PFIqFbpgVWkzMTYmPMCb/SfO0rCqdj4FtVrNgRPneKVZ3UfejlpTevfr+2mvtf75zxTa3tdqtZp/jp6kY+vie1zPXrKKGYuW88PH7xf5THE3QH79Vgy/fDYSO5vi6+1PytTcGlPzgpcqGo0GSxsXrp/fg7OXNiiek5VG7NWjRNXq+ljb1mjUuqD73e2s/LMvRsamtOr9O8Ymhg8ymxgbEeHjzr6zV2hc/p5npbNX6FKvcqH0AW5OLBz+mt6y31bvJD0rhw86NsY9fwiduwHyq3eSmDSkM/bFtHQ2XDn++3VbE2MjIjxd2HfhBo2jtMe3Wq1h34XrdKlVeJ6sABd7Fg7trLfstw37Sc/O4YM2dXG3s8bE2Igobxcu30nSS3clLgmPBzzXCiEM54lnkZg8eTI//vgj585pJwAMCQnh7bffpl+/fg9d18zMDDMz/ZtG8mMM5/BS+7b878dfCAsJIiw0hMXLVpKVlUXLpk0A+OaHn3F2cqTfa9oxilUqFVfyxxHMzc0lLj6e8xcvYWFujpendhKHCZOnUbN6VdxcXYlPSGD67HkolUoaNaj3yPl6XK+0e4Gvfx5PeHAg4SHBLFyxmsysbFo11Qbmv/zxN1ycHHm9Z9f8cuRyOb8cKlUecfEJnLt4GQsLc7w9tMHZ/QePoEGDr5cn12/F8Me02fh6edK6ScNSKwfA/jMa6kQpSEjVkJQODcopSc2EM9cLKpyvNlJy9rqGv8/ldysvr+DCLQ0pGdqH8ig/BX6uMHerfiXVwRp8XWDetifvFv4w3aqEMmbtASLdHIhyd2TOwXNkqnJpG+UPwMdr9uNqbcGQetob3sQ9Jynn4YiPvTWp2Spm/H2WWynpdChX0CW+Z9UwRqzaS2UvZ6r6uLL7cgzbL95i4iul8+KlKJ3btuKrXyYQHhRAREgQC1auJTMrm9ZNtHn44ufxODs6MKCHdpik2YtXMHnuQkYPG4S7qwvxiUmANlBgafForepLqkfDKnw8Zy1RPu5E+7kza9tBMnNUtM+ftG/U7DW42lkztE09zEyMCfHQb1lmk5/Pu8szslVM2riXhlFBONtak5Seybydh4hNTqNZBf0x7MqCkZUlVsEFQT7LAG9sK4STk5BM1rWybTHQo2YkHy/bSaSHE9Gezszef4pMVS7tKmgDnB8t3YGrjSVvNdE+ME3YfoRyXs74OtqSmpXD9D3HuZWcTodKBZPyJGdmcys5nTv5LWCuxGtbADpbWzxyC/XH1a1FPcb8OZ/IAG+iAr2Zs34nmdkq2tbTPmR/PPEvXB1sGdJJ+6J1ysotRPp74e3qRE5uLruOnGH17oOM7NkBgMzsHCat2EyDihE429uSlJbO/E17iE1MoVn1h08e+7yWAaBH/cp8PG89UT5uRPu6M2t7/vmdH9AeNWcdrnZWDH2hbjHnt7bucHe5vbFFoQc5EyMlzraW+Oe3JCwN3ZvVZvSUxUT6exEd4MWcjXvIzMmhXR3tA+pHkxfi6mDLWx21LyQnr95GlL8X3i6O5OTmsvPYOVbtPczIbi/qttmreV2GT5xP5RB/qoYHsPv4ObYfPcOf7/UptXIAHDinoXakgoQ0DcnpUD9ae/8+e6PgXty1gZKzNzT8c167rEE5BRfv3r9NtBNv+7nCvO0F6+w7o6FulPbleWwSlPNX4GQDS3YbNhD1LNWlNu7PpE1dS24n5BGXlEeHhlYkpao5eLogEPxedzsOns5m89/aoPErTa04fDaH+OQ87G2UtGtghVoN+05ov09J15CSXjiAkJCSR1yS4etVz0IZOnZoz/djfyQ0JJiw0FCWLFtGVlYWzZtpg4H/+2Eszk5O9HlN+5JepVJx9ap20l5Vbi7x8fFcuHARcwtzXcvxKdOmU61qFVxcXMjMzGTL1m0cPXaMLz//tOhMGMiGfZm0qWfF7fg87iTl0aGRdeH90cNeuz8OaAPnrzSz5vDZbOKTtPujfUNrNGrYd1y7P1wcjKhZzoyj53JIy1Dj42ZMlxY2nLmcw/VYwzY+6NGkBh9PX06krwfR/l7M3ryPzGwV7WppX6x+NG0ZrvY2vNW+MQCT1+4i0s8DH2cHcnLz2HniPKv2HePDrtp7o7WFGVVCfPlx8SbMTI3xdLTj73NXWbnvGO++9PSGlujWqiGfTJhDZIAPUUF+zFm7jczsHF5soH3ROvqP2bg62DG4cxsApi7fSESAD95uTqhUeew6cpLVu/5m5Gudnlqeu7zYki/H/Ul4cAARIYHMX7GezOxsXmisHXr1858n4OLkwIDu2rGWZy1eyeR5ixnzzkA8XJ0LPVPk5uby0XfjOHvxCt9+OAy1Wq1LY2ttjYmJgWeCzadQKChfryf/bPoDO2d/bB292L/uFyxtXQmIKgj4L5/wGgHRTSlXR/uyfu/qH/ANr4+1vQeq7HTOHVrJzYv7adNvEqANkK/4sy+5OZk06fodqqw0VFnat9Lm1o4olcX3xHhcPRpW5ePZq4nydSfa14NZ2/7Wf1aatQpXOxuGvlhfW5fy1B/mU1eXyl+uysvjvSnLOXX9NuNe74harSYuv7ecnaUFJsaGy/u9noW6bY96Ffh4wWaivFyI9nFl1q6jZObk0r6KtkHRqPkbcbW1YmjLWtp9cd8E8zbm2hjYvct71a/EB3PXUyXAk2qBXuw6e5Xtpy8zqX/7UimDuIey+Pk6xPPjie4+o0ePZuzYsQwZMoRa+a0s9uzZwzvvvMPVq1f57LPPHrKFkmlUvy7JySlMmzWPxMREggID+Pqz0brhVmLv3EGpLGghEJ+QyIC3ClquL1i8jAWLl1E+Ooqx33wBwJ24eL76biwpKanY2dkRHRnBuB++wd7OcC247te4Xm2SUlKYMmcBCYlJBAf48d2YETja55cjLk6vHHEJCfR7Z4Tu87ylK5m3dCUVoyP4+UvtWGtpGRn8OXMud+ISsLGxpkGt6vTr3kU3LE5p2XNag4kxtK6mxNwUrt3RBrXz7nl2cbAGi3vejViZQ9uaSqzNIVsFsUkwd6uaS7f1t10hUEFKBlwsfpLoEmsR5kNiRjbjd58kPiOLMBc7fu1YVzfcSkxqhl6rk5TsHD7fcJD4jCxszUyIcHNgatdGesOrNA7x4sOmlZm6/wzfbTmMn6MN371Yi0pezoV+v7Q0qVuLpJRUJs9bSEJiMsEBfnw/ejiO+V0jb9+J1xvHd+najahyc/n4fz/rbad354706fLSU8lzy0rhJKZl8vvaXcSlZBDm5cLvb7ykm8wzJjGlUAugBzFSKrh0O4HlB06SlJaJvZU5Ub7uTB3ShWCPp7cvimNXJZpam2bqPkd+/yEA12Ys5mjfkWWVLQBaRAWQmJHF+G2HiUvLJMzNkd9fbYpTfjD7Vkq63vGTkpXN56v2EJeWia25KREeTkx/rRVBLva6NFvPXmPM8l26z8MXbwfgjfoVGNigYumUo0YFElPTGb9kPfHJqYT5evLru3103Tlj4pP0jqnM7By+nrmU2IRkzExN8Pdw4fPXu9CihvahXKlQcPlWLCt3/kNSWjp21pZEBfgw+cMBBHmVzsR+z0IZAFpWCiMxPZPf1+3JP7+d+b1/+4LzOykF5aOf3mWmRbVy2v2xbBPxKWmE+Xjw29CeuuFWYhKSUSoKKtpZ2Sq+mr2C2MQUzExM8Pdw5ou+L9OiWsFDW+PKkYzq/iJT1mznf/NW4efmzHcDu1CplCeT23tag4kRtKqSf/+Og/nb9e/f9vffv82gTY177t/JMG+7msv33L8PnNNgZARNK2q3G5ukTZOkP3JCiT1Ldak1uzMxNVHQ6wUbLM0VnLuq4sc5ydzb6cnFwQhry4Jjy8FWyRsdbbCyUJKaoeb8NRVfTk0kLaNsxn1/FsrQsH49kpOTmTFrNomJiQQGBvLlZ5/qhlu5c+eO3vU2PiGBN98aqvu8cPESFi5eQvly0Xz3zdcAJCUl890PP5KQkICllRUB/v58+fmnVKlUuvN1rNmVgZmJgl4v2mBpruTcVRVjZyXp7Q9XRyNs7tsfA16y1e2Pc1dVfDE5kdT8/ZGbpyEywJRmNSwxM1WQkJzHP6eyWLE94/6fL7EWVaNITMtg/MptxKWkE+btxu9DuuqutbcSkvXqIZnZOXw1dw2xSamYmRjj7+7Ml73b0aJqwWSR3/btyC/LNvPhlGWkZGTi4WjH4LYN6VS/cCvc0tK8ZiUSU9L4Y9Fa4pNTCPXzYtwHbxTc0+MSC93Tv522sOCe7unK5wO707zm05vvpUndmiSlpDJp7mISkpIJDvDlh4/fL3imiIvXu9YuXbcZVX4g/F69X2lP3y4duZOQyM4Dh7TL3v1IL80vn42kcvSDhz4piYoN+6HKyWTbwtHkZKXg7l+FNv3+1Gv5nRJ/laz0guGLMtMS2DxvOOkpdzA1t8HJI4w2/SbhE1oHgDs3ThB79QgAc77V77HbbeRGbB0N16uyZeVwEtMy+H31rvzzwpXfB7ysm+Q2JjH1sZ6VYpPS2Hpc2/37lf9N1/tu0uDOVAspnaE3n4W6bcvyISSmZfH7xv3EpWYQ5uHM773b6Oa8iklKe6x9AdAkKpCP2jdgytaDfLtiB/4u9vzQrSWV/T1KowhCiPsoNJrH71vm4uLCL7/8Qteu+l2S5s6dy5AhQ4iLe/DM0EW5du7kY6/zb2OSVwpjgZSByYfLPzzRf8DbyaPLOgslll6vQ1lnwSBsLx8s6yyU2KZ2P5R1Fgyi8dRHm9n+304dVDpDaYjHZxT/3x8jUW3r9PBE/wE/xzydl5mlrXf5o2WdhRIbtaDshpkS+j7u+t+e8POuz2bbl3UWDOK3euvKOgsllmvzbNwzsiz/++WYfaF6WWfBIAaYTn54ov+APLuyb4BUUka3rpR1FgzCvOPQhycSejKmlW7vrmeR5WtjHp7oP+aJ+hOoVCqqVi08FlyVKlXIzX06Y6MJIYQQQgghhBBCCCGEECX1REHyHj16MH78+ELLJ06cSLdu3UqcKSGEEEIIIYQQQgghhBDiaSjRxJ3r16+nZs2aAOzbt4+rV6/Ss2dPhg0rGP977NixJc+lEEIIIYQQQgghhBBCCFEKnihIfvz4cSpX1k5ucuHCBQCcnZ1xdnbm+PHjunSKx5ykQAghhBBCCCGEEEIIIZ4aiV8KnjBIvmXLFkPnQwghhBBCCCGEEEIIIYR46p5oTHIhhBBCCCGEEEIIIYQQ4lkgQXIhhBBCCCGEEEIIIYQQzy0JkgshhBBCCCGEEEIIIYR4bkmQXAghhBBCCCGEEEIIIcRz64km7hRCCCGEEEIIIYQQQoj/OoVS2hALaUkuhBBCCCGEEEIIIYQQ4jkmQXIhhBBCCCGEEEIIIYQQzy0JkgshhBBCCCGEEEIIIYR4bkmQXAghhBBCCCGEEEIIIcRzS4LkQgghhBBCCCGEEEIIIZ5bxmWdASGEEEIIIYQQQgghhCgTCmlDLKQluRBCCCGEEEIIIYQQQojnmATJhRBCCCGEEEIIIYQQQjy3JEguhBBCCCGEEEIIIYQQ4rklQXIhhBBCCCGEEEIIIYQQzy0JkgshhBBCCCGEEEIIIYR4bhmXdQaEEEIIIYQQQgghhBCiTCgVZZ0D8S8gLcmFEEIIIYQQQgghhBBCPLckSC6EEEIIIYQQQgghhBDiuSVBciGEEEIIIYQQQgghhBDPrX/NmOQKjbqss1Bi8cbuZZ0Fg7C3MyrrLBiEkWNwWWehxLJNLMs6CwZxI7xpWWehxBpPjSvrLBjE5t7TyzoLBlFv369lnYUSyza3K+ssGESug39ZZ6HEnpX7d7DpszGW4jVFQFlnocQqV7X/P3t3HR7F8QZw/JuLB+Ih7o4Hh+JaaLFCKe5uRfprocVpi0OR4u4uwaW4FXd3l7gQl98fFy4cuSDJpWnh/TzPPQ/ZzG7eYXd2ZudmZ3I7BK1ITEzN7RCyzSjpcW6HoBV+Bf/77VqASIcCuR1CtiXqGuZ2CFqhl5KY2yFkm2O+//49CuCxbfXcDkErTJKicjuEbDMxMsvtELTCKLcDEOI/SkaSCyGEEEIIIYQQQgghhPhs/WtGkgshhBBCCCGEEEIIIcQ/SUdHxhALGUkuhBBCCCGEEEIIIYQQ4jMmneRCCCGEEEIIIYQQQgghPlvSSS6EEEIIIYQQQgghhBDisyWd5EIIIYQQQgghhBBCCCE+W9JJLoQQQgghhBBCCCGEEOKzpZfbAQghhBBCCCGEEEIIIUSuUOjkdgTiX0BGkgshhBBCCCGEEEIIIYT4bEknuRBCCCGEEEIIIYQQQojPlnSSCyGEEEIIIYQQQgghhPhsSSe5EEIIIYQQQgghhBBCiM+WdJILIYQQQgghhBBCCCGE+Gzp5XYAQgghhBBCCCGEEEIIkSt0ZAyxkJHkQgghhBBCCCGEEEIIIT5j0kkuhBBCCCGEEEIIIYQQ4rMlneRCCCGEEEIIIYQQQgghPlvSSS6EEEIIIYQQQgghhBDisyWd5EIIIYQQQgghhBBCCCE+W3q5HYAQQgghhBBCCCGEEELkCh2d3I5A/AvISHIhhBBCCCGEEEIIIYQQny3pJBdCCCGEEEIIIYQQQgjx2cpSJ/m9e/e4detWhu23bt3i/v372Y1JCCGEEEIIIYQQQgghhPhHZKmTvF27dhw7dizD9hMnTtCuXbvsxiSEEEIIIYQQQgghhBBC/COy1El+7tw5ypcvn2F72bJlOX/+fHZjEkIIIYQQQgghhBBCCCH+EXpZ2UlHR4eoqKgM2yMiIkhOTs52UB9i07YdrNkQSGhYOF4e7vTu2hF/Xx+Nae8/eMii5au4eecuL14G0aNTexo3qJshXVBICHMXLePkmbPExyfg5GDPj3164ufjrZWYd2zdyKb1qwgPC8Xdw5tO3b7Hxy9/pumPHT7AymXzefniOQ6OzrRu35USpcqqfj9t0mj2792ltk9A8VIM/XW86uenTx6xeP4srl+7RFJiEm4enjRv1ZHCRYtpJU+vpaamcmLHVC7/vZb42EgcPYpTtclwLPK5Z7rPqT2zuXNxN2Ev76Knb4SDezHK1/sflnaeqjThwQ85EjiWp3fPkJyUgFv+ilRpPAQTUxutxq/JqkNnWLz3BMGRr/B1smXgtzUp7O743v12nLnKwEWbqVrYh8ldGud4nG8K3LqdNRs2qcpFr66d8Pfz1ZhWWS5Wcuv2HV68DKJ75w40blBPLc3i5atYunK12jYXZycWzvozx/IAsGXLFtavW0dYWBgenp50794dPz8/jWkfPHjA0qVLuX3rFi9fvqRLly40/OYbtTSXLl1i/bp13L59m9DQUAYPGcIXX3yRo3kAWHXqOouPXyYkOhZfOysG1C5NYad8GtMGXrjNsM1H1bYZ6Co4+Utr1c97rz1g7dkbXHsWSkRsPKs618Pf3ipH8/ChrCqUxPOHjpgXL4SRoy2nG/fgxea9uR2WyprdB1m2ZS8hEZH4uDrxY7smFPR215h2496jbD98kjuPnwLg7+FKz6b11NKXat5L477ft2hI63o1tB0+AOu372Hlpu2Ehkfg5e5Cv05tKODrpTHt5t372XngCHcfPgbAz8uDri2bqKU/ePwUm3bt48ad+0RGR7Nw0m/4eLjlSOxv2rhtF6s2bSE0LBxvdze+79Ke/L6a69l7Dx+xcMUabty5x4uXQfTs2IYm9b9WS5OcnMKiVWvZc+AwoeHh2FhZUbtaZVp/1wgdLa1Sv2PrRgJV9bcXHbv1eU/9vZ+VyxYQ9OI5Do5OtGrfTa3+ftPsPyeye8dm2nfuRd2GTVTb796+ydKFs7h96wYKhYKyX1SiXeeeGBubaCVPoKy7926cxukDa4mLicLVpxj12w7Dxt49033uXT/FkR0LeHr/ClHhQbT4fhoFSqhf8/Fxr9i9ZhLXzu4lJjocy3zOlKvZitLVmmUpxvUr5rB/dyAxr6LxzV+E9t1/wt7R9Z377dm2lm0blxMRFoKrhw9tuvyAl29B1e8TEuJZsWAKfx/eQ2JiIkWKlaFdt58wt7RWpblz6yqrF0/n/p3rgA5evgVo1q4Xbh4Z69XnTx8xuF8bFAoFc1Zm7d73KbSlUlNTObV7GtdOKPNg716cSo2GvTMPl4+t5MrxlUSFPQHAys6bEjV74uZfSZXm6t+ruXVuK0FPrpIY/4oOI09iaGym9fhfS79PReDl7kqf99ynFqxYy807d3n+MpheHdvQpP5XamliYmKZv2INh/8+RVhEBD4e7vTu3I78Pprv4dqSmprKub3TuHFqLQlxUdi6FeOL+sMwt3HPdJ9rJ1Zy/cQqosOV58PC1puAqj1w8Us/H9vnteH5vVNq+/mVakr5hsO1nocN23ezauPWtLrPlT6d21Ig03PxmPkr1nLzzj2eBwXTq0NrvqtfRy1NTGws85av5fCJ06pz8X2nNjl6Lv6Lz62afErlYt/GaZw++Ebd12YY1u+o++7fOMWR7Qt4+kBZ9zXvnbHui44IZveaidy+cpS4mCjcfEtSt9Wgdx5Xm7Zu2cz69WnPTx6edOve4x3PT/dZtnQpt28rn586d+lKw4bfaEybkzZu28nqjZvTyoYb33fpQP5Mysa9h49YuHy1qmz07NiObxuotwmbderBi5dBGfZt8NWX9O3WKUfysHbXAZZv2ZP2jOHMD+2bZvqMsWnvEbYf+pu7bzxjdG/WMEP6e0+eMX3FRs5evUVySgoeTg6M6d8Fe5t/x3PfJ0shSzaKLI4kr1SpEqNHj1brEE9OTmb06NFUqFBBa8FlZv/ho8yat4g2zb9j1uTxeHm4MWDor4SFR2hMHxefgIO9HZ3atsLK0kJjmqjoaPr8NAg9XV3GDB/MgumT6dahLaZ582ol5iOH9rFw7gy+a9GOCVPn4u7hxcghPxIeHqYx/fWrl5k0biTVa33NxKnzKF2uAmN/G8yD+3fV0hUrUZr5S9erPv1/Gqr2+9+H/0xycjIjRv3B+ClzcPfwZtSInwkLDdFKvl47s3cu5w8tpWqT4TTttwY9A2M2zepIUmJ8pvs8uXOSIhVa8l3fNTTsvpCUlCQ2zepIYnwMAInxMWya2QEdHR0a9VxMkz4rSUlKZMvcbqSmpGg1/rftPHONCRv30bVOBVb91B4/J1u6z1hNSNSrd+73JCScSZv2U9zLOUfj02T/oSPMmreQ1s2bMmvKRDw93Bk4dCRh4eEa08fFx6eVi9ZYWVpmelx3VxfWLF2g+kweOyqHcqB08OBB5s6ZQ4uWLZk2bRqeHh4MGTyY8EzyER8Xh4O9Pe3bt8cyk3zExcXh4elJjx49cjBydbuu3GPinlN0rVSUlZ3r4WtnSY8VfxH6KjbTffIa6vNXv+9Unx3ff6v2+9jEJIq52NGnevGcDv+j6eYxIfLiDS5/PyK3Q8lg9/EzTF66kU6N67B01AB83JzoPWY6oREZv+wFOHPtFrW+KMHMwX1YMOIH7Kwt6DV6Oi9Dw1VpdswcpfYZ0rUlOjo6VC0dkCN52Hvkb/5cuIL2Tb9h/sRf8XZ3pf/IcZnWe+euXKNGxXJM+/UXZo8Zhp2NFf1HjCMoJFSVJjY+niL5fenepmmOxKzJvsPHmLFgCe2aNmbupDF4ebjx4/BRmeYjPj4eBzs7urRunmn9vXJDIIE79tCnawcW/zmJLm1asHLDZjZs3amVmI8e2seiudP5rkVbxk+di5uHF78O+R8R76i//xj3K9VrfcWEqXMpXa4i434bxMO36m+AE8cOcfP6Vays1TsrQ0OCGTGoP/aOToyZNJMhI8fx6OF9/vxjjFby9Nrh7fP4e88yGrQbTrehqzEwNGHxhM4kJmRedyfGx2Lv4ke91kMyTbNjxVhuXTrCt13H0Wf0Nr6o1YatS3/j2tl9Hx3j1g1L2b11DR26D2DE+PkYGhoxdlgfEt4R49+H97B8/hS+adaR3/5YjKu7N2OH9SEiPP36Xz5vMudOHqH3T6MZPGomYaHBTB49UPX7uNgYxg/vg3U+O4aPX8DQsXMwMjZh3LA+JCUlqf29pKQkpk8Ygl+Boh+dvzd9Cm2p8wfmcenIUio1Gk7j3mvQNzBm67xO78xDXgs7yn71A9/2Wc+3fdbh5F2WnYt6Evo8ff2jxMQ4XPwqUrxaV63H/LZ9h48xfcFS2jb9lrmTRuPl4cb/ho9+53OGo50tXVq3yPQ+Ne7P2Zw+f4lB/XqycOp4ShUrwg9Df1O7J+eES4fncfX4Mr5oMJx63Vejr2/CrkWd33k+8pjZU/LL/tTvsY76Pdbi4FmWvct7EfZCfT0q35JNaDbwkOpTqvb/tB7/3iPHmb5gGe2aNWLepN/xdnflfyPGvONcxONob0vXNs0yPRdj/5zL6QuXGNS3O4umjKVUQGH6DxuVY+fiv/jcqsmnVC5e13312w6n6+u6b+K7676E+FjsXf2om0ndl5qayoqpvQgNekSL76fTfcQGLGwcWTi+Awlp9+OcdOjgQebOnUuLFq2YOu1PPDw9GTJkUObPT/Hx2DvY0659h0yfn3LavsNHmTl/MW2bNWHOH2Pxcnfjp2G/v7NN6GhvS5c2LTO9pmZNHM36xXNUnwkjleerSvlyOZKHPcdOM2Xpejp++zWLR/+Ct5szfUZPJTQiUmP6s1dvUqt8KWYM6ce8kT9ha23F96Omqj1jPH4eRJdhE3FztGfm0P4sHzuYDo3qYKCfpfGtQoiPlKVO8rFjx7Jv3z78/Pxo37497du3x8/Pj0OHDjF+/Pj3HyCb1m3awldf1qB2jWq4u7rQt0dXDA0N2blH88gdf19vunZoS7VKFdDX19eYZtW6jeSzseGnvr3w9/XBwd6OksUDcHSw10rMWzaupWbtr6lesw4uru507dUfQyMj9u3erjH91s3rKVaiNA0bN8PZ1Y0WrTvi4eXDjq0b1dLp6+tjaWWt+uQ1NVX9LjIinGdPH9OoSQvcPbxwdHKmdbsuxMfH8fDBPa3kC5SNgvOHllC6Vne8CtfAxtGfWi3H8SriJXcv/ZXpfg27zadAmUZYO/iQz8mfGi3GEBX2lJePrwDw9N5ZokKfUKPFGGwc/bBx9KNmy7G8eHSZR7f+1lr8mizdf5JG5YrSsGwRvBxsGNy0NkYG+mw6fjHTfZJTUvhl8Ra6f1UBZ2uLHI1Pk/WbNvPVlzWpXbM6bq4u9O3Z7T3lwoeuHdpRtXJF9N9R6erq6mJlaan6mJvn3MgtgI0bN1K7Th1q1aqFq5sbvXr3xtDQkN27d2tM7+vnR8dOnahcpUqm5btUqVK0bduWLzRME5VTlv59lUbFfGgY4INXPgsGf10OI31dNp2//c79bPIaqz7WeY3Vfle3iBddKxWljMf732j4pwXtOsTNYZN5EZh5mc8tK7bto2G1L6hfpRyezg783LEZRgYGbD5wXGP633q1o0mtSvi5O+PuZM/gLi2VoyMv31ClsbEwU/scOnOJEgV8cLbLmbdcVm3eQb2aVfi6eiU8XJz4sVt7jAwN2br3kMb0w/r1oFGdGvh4uOHm7MiAHp1ISU3h9MWrqjS1q1SgfdNvKFm0oMZj5IS1gdv4ulZ16tSoirurM/27d8LI0IDtf+3XmN7fx5vu7VtRvVL5TMv35es3qVCmJOVKFsfBzpYq5ctSqlgRrt16d1n7UFs2rqFG7bpUq/lVWv39A4ZGRuzNpP7etnldWv3dHGdXd5q37oiHl2+G+jskOIh5s6bS58fB6Oqq34NPnzyGrp4enbv3w8nZFW/f/HTt1Z+/jx7k2dPHWslXamoqx3YtoUq9buQvXh17Vz++7TKGqPCXXDubeTn2LVqJmt/2pUDJmpmmeXj7HMUqNMAzf2ks8zlRqup32Lv48fhu5nVoZjHu3LyKBt+1p0TZyrh6+NCt33DCQ4M58/fBTPfbEbiSqrUaULlGPZxcPWnfYyCGhkYc/GsLADGvojnw12ZaduxDwaIl8fDOT5c+Q7h1/SK3r18C4OnjB0RHRfJti644Orvh7OpJo2adiAgPJfjlM7W/t27ZLByd3ShTIetvkXwKbanU1FQuHl5Cierd8ChUHWtHP6o1G0tM5EvuXck8D+4FquGWvzIW+dyxyOdBmTr90Dcw4cXDC6o0RSu2pXi1Lti5Ze+LiA+xJnAbdWtV46saVXB3deYH1X3qgMb0+X280u5TX2jsxIiPT+DQ8ZN0a9eCogXz4+xgT/vmTXBysCdwx54cy0dqaipXji6haJVuuBWojpW9H5WajCE26iUPr2V+PlzzV8XFrzLmNu6Y23hQslZf9AxMCHp0QS2dnoERJqb5VB8DI+130K4J3E7dWlX5qnoV3F2c+aF7R4wMDdm2V3P5z+/jRY92Lale8QsM9DI/F93btiAg7Vx0aP4tTvZ2bNqZM+2X/+JzqyafUrk4vnsJleun1X0ufjTuPIaosPfUfUUqUaNxXwqU0Fz3hby4z6M7F6jXdhjOnoXJ5+BBvTbDSEqI5+Lf23IqOyobN26gdu3a1KxVC1dXN3r16o2RoSG7d+/SmN7X14+OHTtTuXLmz085bW3g1jfahC7079EFI0MDdvyl+Qt1fx9vurVvQ7V3tAktzM3VnluPnzqDo70dRQsVyJE8rNy2lwbVylOvyhd4OjswsFNzjAwM2JLJM8bI3h34tlZlfN1dcHeyZ1DXVqSkpnL68nVVmpmrA/kioCC9WzbCz8MFZ/t8VCpZFKscfgYXQihlqZO8QIECXLx4ke+++46XL18SFRVFmzZtuH79OoUKFdJ2jGoSExO5efsOxYsWUW1TKBQUDyjC1Rs3s3zcYydP4+ftxYgxE2jcqj1d+/yPbbu0U0EnJiZy5/YNigSUUG1TKBQUCSjBjetXNe5z8/oVtfQAxYqXzpD+8qXztGvRkF5dWjN7+iSiItO/eTU1M8fJ2YUD+3YRFxdLcnISu3ZsxtzCEi9vza9eZUVkyGNiIoNw8U2fvsLQ2BQ7t6I8u3/ug4+TEKsc1WlkYg5AclIC6Oigq2egSqOrb4iOjoKnd89oKfqMEpOSufboOWX93FXbFAodyvq5c/H+k0z3m73jKJamJjQql/MPcG9TlYuA9L+tKhfXb7xjz/d78vQZTdt0oFXHbowa/4fGV9i0JTExkdu3bhEQEKDaplAoCAgI4Pq1azn2d7UtMTmZa89C1DqzFTo6lPFw5OLjzP//YhOSqDN1HV9OWUvf1fu4/VLzSFXx4RKTkrh+7xGlC6Xf8xQKBaUL+XHp1od9WRgXn0BSUjJmeTVPcxESHsmRc5dpUDVnRqkkJiZx8859tc5shUJBySIFuXLjwzqC4xPiSUpOxixvnhyJ8UMkJiZx485dShQtrNqmUCgoUbQwV2/cesee71bI35czFy/z6Iny1dXb9+5z6eoNyhQPyG7IafX3TY31983rVzTuo6n+DiheihtvpE9JSWHqxN9p0LgZrm4eGY6RlJiInp4eijde+zQwMATg2pVL2crTa2FBj4mOCMarYPp1a2RiirNnER7dvvCOPd/P1bsY18/tJzL0Bampqdy9doLgF/fxLvRxX1QGvXhKRFgIhYqWVm0zyZMXL9+C3Lqh+f8hKTGRe7evUzAgfR+FQkHBoqVUHeD3bl8nOSmJgm8c19HZHet89ty6cRkABydX8pqac2DPZpISE0mIj+PAns04uriTz85Btd+VC6c5cXQvbbv9+FF5e9un0JaKCn1MTFQQzj7qebB1LcKLB+c/6BgpKcncOr+NxIQY7NwCtBrfh1Deb+9pvE9dyeJzRnJyMskpKRi81aljaGDApWvXM9kr+6LCHhMbHYyjV3oZNzAyJZ9zEV4+/LAynpKSzN2L20hKiCGfa4Da7+6e38ry38uxYUo9Tu+aRFJC5m/KZcXrc1GySPqzpfJcFOJKFuuM5JRMzoWhAZeuZq+9rMl/8blVk0+pXKjqvgJv1X1eRXh0J+t1X1JiIgD6+oaqbQqFAl19Ax7ePJv1gD9AYmIit2/fIiAgfTpV5fNTMa5f/3c+PynLxl1KBLxVNooW4cr1rJeNt//GngOHqVOjmtam31M7flIS1+89pHRhf9U2hUJBqcL+XLqZ8e1BTeLiE0hOSsYsj7J9npKSwrFzl3F1sOP7UVOp3eVHOgway8FT57UevxBCsyy/s+Ho6MioUVmbdiE+Pp74ePXXmeITEjA0MMhkj3QRkVGkpKRg+dYrNpYW5jx6nHkH5vs8e/6CzTt28W3DerRo0ogbt27z55wF6Onp8WX1qlk+LkBUZAQpKSlYWKjPIWVhYcmTRw817hMeFpohvbmFJeFh6a+fFStRmjJfVMLO3oHnz56wfPE8fh02gNETpqOrq4uOjg7Dfp/I2F8H0/Lbr9DR0cHcwpIhI8epjTjPrpgoZaefiam12nYTU2tiIoM/6BipKSkc2jgKB4/iWDso5/q0dw9A38CYY5vHU65uf0hN5ejWiaSmJBMTmXMdtWGvYkhOScXaTL0zydo0D/deaJ6m5uydR2z8+yJrBrTPsbjeRVUuLMzVtltaWGSrXOT38+HHfr1xcXIiJDSMpStX02/AIOZNn4KJifH7D/CRIiMj08q3+mt/FpaWPHqsndGT/4SwmHiSU1Oxzmuktt06jxH3gzW/QuhubcbweuXxsbMkOj6BJcev0G7RDtZ3a4CdWe51bP7XhUdGk5ySgpW5+j3PytyM+09ffNAxpq0IxMbSnNKF/DX+ftuhE+QxMqJqqYDshqtRRFRUWh7Uy7eVhRkP0jqG32fGktXYWFr+o6PG3xaRVr6tMtynzHn4+MPyoUmLxg14FRNLm579USgUpKSk0KlVU2pWqZjdkNPq72QsLNTvSebvqb/N30pv8Vb9vWndCnR1dfm6vuZ1KwoVLc6iedPZtH4lX9f/lvi4OJYtmpN2fO1MlxYdoayf85qr1915zWyIisheHVu39WA2LRzKuH5VUOjqoaOjQ8P2I/HwL/VRx3mdV7O32kNmFlZEhGl+HT8qMpyUlGTMM7ShrHj25AEAEeEh6OnpkyevaYY0EWl/09gkD4NGzeSP339i05oFANg7uDBgxBTVyP+oyAjmTBlJ9/4jMDHJ3ijaT6Et9ToPxm/nIa8NMVHvzkPIsxts+LM5yUnx6BuYULvtn1jZ5dzcypmJiIwkWWN7ypyHWWxPmZgYU9DPhyVrNuDm7ISlhQV7Dx/lyo2bONnn3Mjf2LT/c+O86ufDKK8NsdHvPvehz2+ydXb6+ajechqWtunnw7NIXfJaOmJiakvY8xuc2jWRiOB7VG85TWvxv6773j4XVuZZrzNMjJXnYvGajbi5OGFpbs7ew8e4cuNWjpyL/+JzqyafUrnIrO7LY2ZDdDbqvnwOHphbO7B77R80aDccfUNjju1aTGTo82zXqe/z+vnJ4q3rzMLCgkePHuXo386qzJ9dzXn4JOtl401HTpwi+tUralevopXjvS39GUN9hLeVuRkPnnzYM8b0FRuxsTSnVFpHe1hkFDFx8SzZvItu39WnV4tvOH7hKgMmzWHGkL4UL6B5rTEhhPZkqZN84cKF5M2blyZNmqhtX7t2LTExMbRt2/ad+48ePZoRI9Tnre3Xqzv9e/9z8wW/LTU1FV9vLzq1aQmAj5cn9x88YsuO3TnS2NCGCpWrq/7t5u6Jm7sXPTq14Mql8xQJKEFqaipzZ0zB3MKS38ZNxcDAkL92bWPUiJ8ZN3k2VlbW7zh65q6f3sz+NcNUP9frMjvbeTmwbgQhz27xbZ8Vqm0mea2o024K+9cO5/zhpejoKPAt/jX5nAvmyLfBWfUqLp5BS7YyrFltLDMZafpfVbpk+mhITw938vv50qJDFw4eOUqdWjmzOOHnqqizLUWdbdV+bjRzE+vO3KRnVe0utCs+3KLA3ew5foZZQ/pgaKD51c7NB/+mdvmSmf4+ty1dv4W9R/5m2q+/fNCX0f81+48c56+DRxjcvzceri7cvnefP+cvxjptAc9/mzu3brAtcD3jp87NtC5zdfOgd/+fWTR3BssXzUWhUPBV/cZYWFiho5O1RYXOH9vC5kXDVT+37j8zS8f5EH/vWcbjOxdo1XcGFtaO3L9xmi1Lf8XU0hbvgpkvmvw6Rh2dVAD+N3RSjsX4Pgnxccyb9ju++YvQ88dfSU1OZtum5UwY2Z+RExdiYGjE/D9HUa7yl/gX+vh79KfQlrp5dgsH16fn4esOs7J8LIt8HnzXbyMJcVHcubiLfasH0qD70lzpKM8Jg/r1ZOy02TTu0ANdhQIfLw+qVyzPjTsfNtrwQ9w5v4WjgcNVP9dsk/Uybm7jTsNeG0iIi+b+5V0cXvczdTovUXWU+5f+TpXWyt4XY9N87FzQnsiQh5hZv3tR3dw2uG8Pxvw5m0YdeqadC3eqV/yCG3e0NxVlTvsvPrdq8k+UiwvHtrB58XDVz6365Uzdp6unT/Pe09g0fzCjepZFodDFs0A5fIpUhNQc+ZPiPbbv2UeZEsWwsf53Lna5OHAXe46dZsbQfqpniJQU5cVSqUQRmn+t7OvxdXfh0s07bPjrsHSSC/EPyFIn+ejRo5k9O2Nj3tbWli5dury3k/znn3+mf//+atuCHn7YK+PmZqYoFArCwsLVtoeFR2S6gMOHsLK0wM1FfbFFVxcnDh3L/nyNpmbmKBQKwsPVRz2Fh4dhYan5pm1haZUhfcQ70gPYOzhiZmbOs2dPKBJQgksXznLm1HGWrN6CiYlyJKqXty8Xz5/mwF87afRdyyzlx7NQNezfmBMyOSkBgJioEPKYp3fyxUSFkM9J88jLNx1YN5J7Vw/QuPcyTC3URw64+Veg3ZC/iI0ORaHQw9DEjHlDymNm81UmR8s+yzwm6Cp0CIlUX6QzJOoVNhpG9D4KDudpaATfz1mn2paSqqzgivcZS+DgLrjky9kFUVTl4q2FTsLCwzOMXsmOvHnz4OzkyJOnz96fOAvMzMzSyrf6NCPhYWHvXFz038bSxBBdHR1CouPUtoe8isMm74eNwNfXVeBnb8WjMM0Lv4gPY2GWF12FIsMinaERkVhbvHtuv6Vb/2Lx5j1M/6UXPm5OGtOcu36bB09fMOr7nHuLxNzUNC0P6uU7NDwSawuLd+67YtM2lm/YyuQRA/B2z92OC/O08h2a4T6Vvfp71qLltGjcgOqVlFN5eLq78jwoiOXrNmW7k1xZf+tmWGT7XfWxhaVVhkU936zvr125SEREGF3bpXcypaQks3j+DLYGrmPWwtUAVKxSk4pVahIeFoqhkRE6Ojps3bQGO3sHsiJ/sWq4eKW/1pyUqKy7oyNCMLVIr7ujI4NxcM2fpb8BkJgQx551k2nx/VT8AqoAYO/qx7OH1zi6Y+E7O8lfx+hkFq2MMUn5+npkeCiWVunz/UeGh+Lq6aPxGKZmFigUumqLdAJEhIeqRpebW1iTlJTIq+gotdHkEeGhmFsqBxAcO7iboBdPGTZunmram54//ErXFjU4c+IQ5SrV4uql05w9eZjtG5cDkEoqqSkptGn4BVW/G0nBsuqLL7/pU2hLuReoip1r+jX1Og+xUSHkMXsjD9HB2Di++5rS1TPA3MYNgHzOhXj56DKXDi+h8rcjsxXjxzI3M0NXY3sqe/cpJwd7po4aRmxcHDExsVhbWTJ83GQc7eyyGXE61/zVyOei4XxEh2DyxvmIiw7GyuH958PMWnk+bJwKEvTkElePLaV8Q82Lc7/+u5Gh2uskf133vX0uQiOyey7smPb7UGLj4ngVE4uNlSXDxk/F0c72/Tt/pP/ic6sm/+Vy4V+sGs5v1n1Jmuu+V5HB2Gej7gNwci9Iz183EhcTRXJSInnMrJg9simO7jn7Ft/r56fwt66z8PBwLK3+nc9PmT+7RmD1nrbth3j+MoizFy4yYmD2pkJ7l/RnDPVntdCISKze84yxbMselgTu4s9BffBxSy/LFmZ50dVV4OGs3tZzd3TgwgdOsSiyIYsDUcSnJUtXwcOHD/HwyDiHppubGw8fan79+E2GhoaYmZmpfT50dJu+vj6+3l6cu5g+F2VKSgrnLlykgF/Wv1krlN9fNZ/pa4+fPMPONl+Wj/mavr4+Xt5+XDyfPh9ZSkoKF8+fwc9f8yISvv4FuXRBff6yC+dOZ5oeIDj4JVFRkVimPeC9ntLm7ZFCOjoKVSduVhgY5cUin5vqY2XvjYlZPh7dSl+gIj4umhcPLuDgnvnoqtTUVA6sG8mdS3to1HMx5tYumaY1zmuFoYkZj24eJyY6BM+C1bIc//vo6+mS38WeEzfvq7alpKRy4uYDirhn7CjzsLNm3c8dWT2gg+pTpZAPpXzcWD2gA/aWOb/IxutycfZC+qJoynJxiQL+2pt/PjY2lmfPnmOdQw0ufX19vH18uHD+vGpbSkoK58+fxz9/9hqu/yR9XV3yO1hz8n76lwkpqamcvPeMIs4fdk9JTknh9sswbD6xtxP+afp6evh7uKgtupmSksKpKzcp7JOxHnttyeY9zN+wk6kDe1DAyy3TdIH7j5PfwwVfN+dM02SXvr4evl7unHlj0c2UlBTOXLpCQb/MR1ku37iVxWsDmTD0R/y9PXMsvg+lr6+Hn5cnZ9+qv89cvEwBP80dnh8iPiEehUK9ntNVKEjNRj33mrL+9uXS+fS5m5X191l8/TU/9Pr6F+TiBfW5ni+eO41fWvrK1Wox6c8FTJw2T/WxsrahfqNmDPk14+LnFpZWGBubcPTQPvT1DSharGSW8mJonAdrOzfVx9bJm7zmNty5mt6pEhcbzeO7F3HxzvraGsnJSSQnJ2YY8a6j0CUlJeWDYrR3dMHe0QUnFw/MLa25cuGUKk1MTDR3bl7Bx6+wxmPo6evj4e2vtk9KSgpXLp7C21+5j4e3P7p6ely5mJ7m6eMHhAQ9x8dPOf9xQkIcOgqFWhtKR6EDOjqqa2vYuHn8PmWp6vNtiy4YGZvw+5SleBXJfGFT+DTaUgZGeTG3cVN9LO28MTHNx+Pb6XlIiIvm5cOLHz2/eGpqiqqT95+kvN96cObiZdW2lJQUzl68TMFsPGe8ZmxkhLWVJVHR0Zw6f5HyZUq8f6cPpG+YBzNrN9XHwtYb47w2PL2bXsYT4qIJenwRW9ePLOOpqe88H6HPlHNIm5hm/7nptfRzob6ew9mLVyiYjTrjNWMjI2xen4tzF6lQWnvn4rX/4nOrJv/lcpGh7nNU1n1336777lzExUs760oZmZiSx8yKkOf3eXLvMvmLV3//Ttmgr6+Pt7cP5y+cV21TPT/5/zufn5Rlw5OzF9TLxtmLlyjon/1raudf+7EwN6dcqeLZPlZmlM8YrhmfMS7foLBv5u3upZt3s2DDdib/3Iv8bz1j6OvpUcDTnQdvTQn58PkL7G3+nSPihfjUZGkkua2tLRcvXsTd3V1t+4ULF7C2ztoUHh/j24b1GPvHNHy9vfD39WF94Fbi4uL5soaysT9m0lRsrK3o1LYVoFy04cEj5XzGSUlJBIeEcPvuPYyNjHByVH5L17hBPb7/6ReWr1lPlQpfcP3mbbbt2kO/Xt20EnO9b5owbdJovH388PHNz5bAdcTHxVGtZh0ApkwchbW1Da3adQGgbv3GDBnYh8ANqylRqixHDu3jzu0bdOv9AwCxsTGsWbGYsuUrYWlpxfNnT1myYDb2Dk4UK6Gc89PPvwB58uZl2qQxNGneBkNDQ/bs3MrLF88oUaqsVvIFyk74gEptOLV7Jhb53DCzcubv7VPIY26LZ+H0KTk2TG+LV5GaFK2oPC8H1o3gxpmt1O00A33DPLxKmxvT0MgUPQPlXM5XT6zH0s4L47xWPL9/jkMbRlGscjss7XK2w6d11dIMWbaVgq4OFHJzYNmB08TGJ9CwrHIkwqAlW7C1MKVP/SoY6uvh46jeKDU1Vi7a8vb2nNS4YX3G/TEVPx8v/Hx92BC4lbi4OGrXUDbMxkycoiwX7VoDH1YuZs9fRNnSJbGztSUkNJTFy1ehUCioWjn7c/1m5ptvvmHSxIn4+Pjg6+dH4KZNxMfHU7OmssNhwoQJWFtb0759e1U+Xn85l5SUREhICHfu3MHY2BhHR+XCmbGxsTx9mv4w8eLFC+7cuYOpqSm2ttofOQTQumwBhgQeoYCDNYUcbVh+8hqxiUk0KKrs1By86TC2piZ8X135IDD70AUKO9ngamVGVFwCi49f5lnEK74plv4gGBEbz7OIVwRFxQDwIEQ5+sImr/EHj1DPKbp5TMjjnT56zMTDGbOi/iSERhD3KGfePPhQLb6uxoiZS8nv6UpBb3dW7thPbHw89Sor74PDZiwhn6U5vZo3AGDx5j3MXruN33q1xSGfNcHhyhEiJkaGmBilL8gUHRPL3hPn6NvymxzPQ7P6dfh96hz8vTzI7+PJmq27iI2L5+vqlQD4dcos8llZ0q11UwCWbdjK/JXrGda/Bw62NoSkjS4yNjLCxFh5f42MiuZFcAjBocpRzw+fKM+TlYU51lp8A+VNTRp8zegpM/Dz9iK/jxfrtmwnLi6eOjWqADDqjz+xsbaiS5sWgHKxsPuv71OJSQSHhHHr7n2MjY1wdlCOli1XqgRL127ENp8N7i7O3L57nzWB2/iqhnZeOa/3zXdMmzQaLx9/fHz92Rq4jvi4WFX9PXXi71hZ51PV31/X/5ahA79n84bVFC9VlqOq+vt/gHJ0uqmZ+hycurp6WFpa4eScXoa2b9mAf/5CGBkbc+HcaZYsmEmrdl0yzKOdVTo6OnzxZRsObJ6FtZ0blvmc2bthKqYWtuQvnl53LxjbngLFa1C2pvLts/i4V4S+SB8QERb0mGcPrmGc1xwLa0eMjPPi7l+KnavHo2dghIWNI/evn+L80UDqNB/w0THWrt+MTWsWYufogq2dI+uWz8bCyoYSZdPfEhg1uCcly1ahVl3lNIB1GjRn9uSReHjnx8u3ADs3ryI+Lo7K1esCysU/q9Soz/L5U8ib1wxjkzwsmTMRH//Cqo70QgGlWblwGotmjadW3SakpqayZd1idHV1yV9Yed92clH/ou3e7WsoFApc3Lx4dlf9HH9IXv/rbSkdHR2KVGzDmb2zMLdxx8zKiZO7pmJiZotHwfQ8bJ7dDo9CNShcXpmHv7dPxNW/EnktHEiMf8Wtc1t5evckdTvNU+0TExlETFQwEcHKay/k2U0MDPOQ19IBIxMLrebjuwZfM3rKTPy9PfH38Wbdlu3ExsVTp4bymvv9j+nks7aiS5vmgPp9KjExmeCQ0Az3qZNnL5BKKq5Ojjx+9pxZi5bj6uTIVzk0Vy4oz0fB8m24sH8W5tZu5LV05uxfUzE2tcU1f/r52DG/PW4FalCgnLKMn941CWffiuSxcCQx/hV3L2zl2b2TfNluLgCRIQ+5e2Erzn6VMTSxIOz5DU5sH4O9e0ms7LU3MAPguwZfMXrKLPy8Pcnv48XaLTuIjYvjq+pp52LyDGysrejauhnw1rlISiI4VMO5OHeB1FRwcXLgybMXzFy0AldnR9Uxte2/+NyqyadULsrVasOBLbOwsnfD0iat7rNUr/sWjm1P/hI1KFtDc90XHqxe9wFcPrmTPKZWmFs78OLxTbYvH0X+4tU/etHqrPjmm0ZMmjRB+fzk60dg4Ebi4uOoWbMWABMnjMfa2pp27TsAmp6fgjM8P+W0Jg3qMmbydHy9vcjv6826zduIi4undtqUQaP+mEY+Kys6t22pilmtbIRmLBug7KjeuXc/X1arjK6ubo7mofnX1Rk5czH5PV0p4O3Oqu37iIuPp25l5cKww6cvIp+VBT2bNwRgSeAu5qzdysje7XHMZ01I2kh6YyNDTIyUdXarejUZNGUexfL7UKKgL3+fv8qRM5eYMbRfjuZFCKGUpU7y5s2b8/3332NqakqlSsoH9IMHD9KnTx+aNWum1QA1qVqxPBERESxavoqwsHC8PD0YM2Kw6nWvl0HBaiN/QkLD6Nrnf6qf12zczJqNmylaqCCTRitf4/T39WbELz8xf8lylq5ai4OdLT06t6dGlUpaiblCpWpERoSzctlCwsNC8fD0ZsjIcarXr4ODXqB4I2b/AoXo9+MQViydz/LF83BwcmLA4N9wc1c+0CgUujy4f5f9e3cR8yoaSytrAoqVonnrDujrK0flm5lbMGTkOFYsmc+wX/qTnJSEi5s7A4f8joendud4LFG9M0kJsexbPZT42EgcPUvQoOs89N5Y4Tsi+BGx0emvoF86uhKADX+2VjtWjeajKVCmEQBhL+9xbOsk4mIiMLNyomTNbhSr0k6rsWtSu0R+wqJjmLHtMMFRr/BzsmVGj6aqxTyfh0Wqna9/g6qVKhAREcmiZasICwvDy9OD0SOHqqZbeRkUpDbaMiQ0jG7fp097tHZDIGs3BFKkUEEmjfkNgKDgEEaNn0RkZBTm5uYUKpCfaRPHYGH+cQ//H6Ny5cpERkSwdNkywkJD8fTyYuSvv6oW8wx6+VLt/z40NJTevXqpfl6/fj3r16+ncOHCjB03DoBbt24xcEB658zcOcoF8GrUqEH/H37IkXx8WdCDsJg4Zh48T3B0LH52VsxoUQPrtM7sZ5Gv1O5TkXHx/LrtOMHRsZgZGZDfwZrF7erglc9ClebAzUcM23xU9fOADYcA6FqpKN0rB+RIPj6UeYlClNu7VPVzgQm/APBoyQYudvw5t8ICoFa5EoRHRjN73TZCwqPwdXNi6sCequlWngeHqp2L9XsOk5iUxIDJ89WO07lxHbp8+7Xq593Hz5CamsqX5bM2svdjVK9QlvDIKOatWk9oWATeHq5MHPqjahHMF0EhauVi0869JCYlMXjcVLXjtG/6DR2bKe+vR06dZdS0uarfDZs4PUMabatW8QvCIyNZuGINoWHheHu4M27Yz6pXa18Eh6CjSB+BHBwaSud+6WV39aYtrN60haKFCjDld+VcyH06t2f+itVMnjWfsIgIbKysqPdlDdo2zXyqi49RvlI1IiLCWbVsgar+Hjxy/Bv190u1UdP+BQrR98chrFw6n+WL5+Lg5MxPg3/H1f3jOiRv37zG6uULiYuNxcnFla69fqBKtS+1kqfXKn7ViYT4WAIXDSMuJhJXn+K0/d8c9A3S6+7Qlw959Ubd/eTeFRaMSZ9Wb8fKsQAUq9CQxp1HA9C0+0R2r/2DtbN+JPZVBBY2jtT8ti+lq318G7Fuo9bEx8WyYPpoYl5F41ugKD8Nn4LBGzG+fP6EqMhw1c9lK9YkMiKc9SvmEBEWgpunLz8Nn6yaSgWgZae+6Ch0mDLmZ5ISEyhcrCztuv+k+r2jszv9B09g46p5jPipEzo6CuVxhk1Wm/pFmz6FtlRAlU4kJsRycN1QEuIisXcvQd1Oc9XyEBnykLhX6XmIjQ5l36oBvIoMwsDIFGsHP+p2moeLb3rH0pW/V3F6z3TVz4EzlR2KVb8bhX8p7d6vXt+nFqxYm3afcmP8sIGq+9TL4GC19lRwaCid+g1U/bxq01ZWbdpKQKH8qvtUdEwMc5euJCg4FFPTvFQuV5pOrZqhp5elR7EPVrhiJ5ISYjm6aRgJcZHYuhXny3Zz1M5HVOhD4mLeOB+vQji0biAxUcrzYWnvy5ft5uLkrTwfCl19nt45zpVjS0hKjCWPuT3uBWtStEp3rcdfvUI5wiMiWbBynepcTBg2UK3ue/P+GxwaRsf+v6h+XrVpG6s2bSOgYH6m/j4EgOhXscxZuoqgkNfnohSdWzbNsXPxX3xu1eRTKhcVv+pEYnwsmxem1X2+xWnzQ8a6LyYqvVw8vXeFBWM11H3lG9Iore6Lighix6qxvIoIIa+FDQFfNKBKA+2XC00qVa5MRGQEy5YuJSwsDE9PT0aO/C39+SnopfJtqDShoSF837un6ucN69ezIe35aczYjG+15YRqFcsrn11XrCY0LBwvT3fGDh+kVjYUb5WNzn3T6+nVG7eweqOyTTh5VPpUUGcuXOJFUDB1auTcm+ev1fyiJOGR0cxZu5WQ8Eh83ZyZPLC36hnjRXCoWh427DlEYlISP/8xV+04nRp/Tecmyi/yq5QOYECnFiwO3MmkRWtwdbRjdP8uBPh/Gmt0CPFvp5OahfeRExISaN26NWvXrlVVYsnJybRt25ZZs2ZhkIWFwR7fvPz+RP9yEYqcH0X/TzhwK2vznf7bdNRdmNshZFuQR5ncDkErEnSNcjuEbHM8tiq3Q9CKfe0X53YIWlHxxJ+5HUK2xRvl3JdN/6QkxX9/MdAQPfv3J/oPuBacM2/G/NPcLf/7azGcvGuR2yFoRWLif3/FuWa+53M7BK1YfFk7U0HktnYFz+V2CNmWqGv4/kT/AXopibkdQrYdCvs0ykVx2we5HYJWmCRFvT/Rv5xJTHBuh6AVFsVy/kuCT03chim5HcJ/jlGjPrkdgtZl6WtaAwMDVq9ezW+//ca5c+cwNjamSJEiuLllPm+rEEIIIYQQQgghhBBCCPFvk+V3mebPn88ff/zBrVu3APDx8aFv37506tRJa8EJIYQQQgghhBBCCCFEjlH8u6bTFbkjS53kQ4cOZdKkSfTu3Zty5ZSLEhw/fpx+/frx8OFDRo4cqdUghRBCCCGEEEIIIYQQQoickKVO8pkzZzJ37lyaN2+u2la/fn2KFClC7969pZNcCCGEEEIIIYQQQgghxH+C4v1JMkpMTKRkyZIZtpcoUYKkpKRsByWEEEIIIYQQQgghhBBC/BOy1EneunVrZs6cmWH7nDlzaNmyZbaDEkIIIYQQQgghhBBCCCH+CdlauHP37t2ULVsWgBMnTvDw4UPatGlD//79VekmTZqU/SiFEEIIIYQQQgghhBBCiByQpU7yy5cvU7x4cQDu3LkDgI2NDTY2Nly+fFmVTkdHVocVQgghhBBCCCGEEEII8e+VpU7y/fv3azsOIYQQQgghhBBCCCGE+GfpZGk2avGJkatACCGEEEIIIYQQQgghxGdLOsmFEEIIIYQQQgghhBBCfLakk1wIIYQQQgghhBBCCCHEZ0s6yYUQQgghhBBCCCGEEEJ8tqSTXAghhBBCCCGEEEIIIcRnSy+3AxBCCCGEEEIIIYQQQohcoaOT2xGIfwEZSS6EEEIIIYQQQgghhBDisyWd5EIIIYQQQgghhBBCCCE+W9JJLoQQQgghhBBCCCGEEOKzJZ3kQgghhBBCCCGEEEIIIT5b0kkuhBBCCCGEEEIIIYQQ4rOll9sBCCGEEEIIIYQQQgghRK5QyBhiISPJhRBCCCGEEEIIIYQQQnzGpJNcCCGEEEIIIYQQQgghxGdLOsmFEEIIIYQQQgghhBBCfLakk1wIIYQQQgghhBBCCCHEZ+tfs3BnmCJfboeQbSaKV7kdglaY5cntCLQjNcUot0PItniFcW6HoBV5EiJyO4RsS/EqkNshaEXFE3/mdghacbhMr9wOIdt8ru/J7RC0wiQ5MrdDEGksTRJzOwSR5lNpS+l+AsNpYvTNcjsErbCz+QROBhBuYJvbIWRbKjq5HYJW5CU8t0PINgO91NwOQSv0Uj+N+jtU979fvhXGybkdghAiF/1rOsmFEEIIIYQQQgghhBDiH6XzaXwBKrLn0xiSIIQQQgghhBBCCCGEEEJkgXSSCyGEEEIIIYQQQgghhPhsSSe5EEIIIYQQQgghhBBCiM+WdJILIYQQQgghhBBCCCGE+GxJJ7kQQgghhBBCCCGEEEKIz5ZebgcghBBCCCGEEEIIIYQQuUJHxhALGUkuhBBCCCGEEEIIIYQQ4jMmneRCCCGEEEIIIYQQQgghPlvSSS6EEEIIIYQQQgghhBDisyWd5EIIIYQQQgghhBBCCCE+W9JJLoQQQgghhBBCCCGEEOKzpZfbAQghhBBCCCGEEEIIIUSuUMgYYiEjyYUQQgghhBBCCCGEEEJ8xqSTXAghhBBCCCGEEEIIIcRnSzrJhRBCCCGEEEIIIYQQQny2pJNcCCGEEEIIIYQQQgghxGdLOsmFEEIIIYQQQgghhBBCfLb0cjsAIYQQQgghhBBCCCGEyBU6OrkdgfgXkJHkQgghhBBCCCGEEEIIIT5b0kkuhBBCCCGEEEIIIYQQ4rMlneRCCCGEEEIIIYQQQgghPlvSSS6EEEIIIYQQQgghhBDisyWd5EIIIYQQQgghhBBCCCE+W3q5HcCH2rF1A5vXryI8LBQ3Dy86duuDj1+BTNMfO7yfVcvmE/TiOQ6OTrRq343ipcppTDv7zwns2bGZdp17UbfhdwC8fPGMdSsXc/niWcLDQrG0sqFS1Vo0atoafX19reVry5YtrF+3jrCwMDw8PenevTt+fn4a0z548IClS5dy+9YtXr58SZcuXWj4zTdqaS5dusT6deu4ffs2oaGhDB4yhC+++EJr8WYmNTWVg5uncv7wWuJiInH2Ls5XLYdjZeee6T5Ht8/m+tndhDy/i56BEc5exaje+H9Y23sCEPsqnIOB07h79QiRoc8wMbXCL6AGlRv0wcjEVOt5WLX/JIv3HCUkIhpfZ3sGNKtDYQ9njWn3nr3K/B2HeRgUSlJyCq62VrSp+QV1yxZVpQnoOlzjvn0b1aTdl+W1Hj/A1i2bWb8+7Xry8KRb9x7vuJ7us2zpUm7fVl5Pnbt0pWFD9evp8qVLrF+/jtu3bymvp8FDKfcPXE8bt+1i1aYthIaF4+3uxvdd2pPf11tj2nsPH7FwxRpu3LnHi5dB9OzYhib1v1ZLk5ycwqJVa9lz4DCh4eHYWFlRu1plWn/XCJ0cXMV69V/HWLLjECERUfi6OvBTqwYU8nTRmHbv6css2LqPRy9CSEpOxtXOhla1K1G3fHFVmlkb97D7xAWeh4ajr6dHfncnejb+ksJerjmWhzW7D7Jsy15CIiLxcXXix3ZNKOjtrjHtxr1H2X74JHcePwXA38OVnk3rqaUv1byXxn2/b9GQ1vVqaDv8j2JVoSSeP3TEvHghjBxtOd24By827821eLZtCWTD+rWEhYXi4eFF1+498fXzzzT9kcMHWbZ0MS9fPMfR0Yl2HTpRslQZ1e/DwsJYtHAu58+eIfrVKwoVKkzXbj1xdMp4n0tNTWX40EGcPXOKXwYPp9wX2rtnbdq2gzUbAgkNC8fLw53eXTvi7+ujMe39Bw9ZtHwVN+/c5cXLIHp0ak/jBnUzpAsKCWHuomWcPHOW+PgEnBzs+bFPT/x8NN83tGHH1o0EprVL3FXtkvyZpj92eD8rly1Qa5eUKFVW9ftpk0ZzYO9OtX0CipdmyK/jtRZzamoq21bP4Oje9cS+isLTP4BmnQdj6+D2zv0O7lzFX5sXERkejJObL991+Bl3n8Kq30eEBbNx6SSuXzxOfNwr7Bzd+bJRZ4qVralK8/DuVQKXTebBnSsoFAoCytSgUdsfMTI2eW/M61fMYf/uQGJeReObvwjtu/+EveO773t7tq1l28blRISF4OrhQ5suP+DlW1D1+4SEeFYsmMLfh/eQmJhIkWJlaNftJ8wtrQGIioxgxsShPHpwm+jICMwsLClRuhJN2nTHxCQvAKeO7Wfvjg08uHeTxMQEnF09adS8M0WKl9UY0/t8Cm2p1NRUDgRO4+whZR5cvIvzdethWL8jD4e3zeb62T0EP1PmwcWrGDWa/IBNWh4AzhxczaUTW3n24CoJca8YMO0kRiZmWo//tS1btrBu/XrCwsLw9PD4oPb5rdu3Ve3zbxo2VEuzevVqjh47xuPHjzEwMKBA/vx06NABZ2fN7UxtSU1N5fAW5TUVHxuJs1dxvmzx7mvq2I7Z3Di3m9C0a8rJsxhVG6VfUwA7lg3l/rVjREe8RN/QBGev12m8shXvti2BbFy/RlXvdene67313vKli1T1XtsOndXqvdjYWBYvnMeJ40eJiorEzs6euvW/oc7X9QB48eI5ndu30njsn34eQoWKlbOYj01sSsuHu4cXXbr3fmc+jh4+yPKlC9Py4Uybt/LR4KvqGvdr26ELjb5tCsCTx49YtGAO165eJikxCXcPT1q0bkeRosWylAdNPpX6OzU1lT3r/+Tk/rXExkTh7luMb9oPxcbePdN97l4/zaFtC3h87wpR4UG06TuVgiXV261rZv/CmcOb1Lb5Fq5AxwFztJ6HzVu3sW79BkLT7lE9unXF389XY9r7Dx6wZNlybt++w4uXL+nauRONGjZQS7Nl23a2bd/BixcvAHBzc6Vl82aUKllSazHnRrtp3aqlnD11nHv3bqOnp8/SNdu0lp/X0p9bI/Byd6XPe55bF6xYy807d3n+MpheHdvQpP5XamliYmKZv2INh/8+RVhEBD4e7vTu3I78Ptm7v4oPoCNjiP8J06dPZ/z48Tx//pyiRYsybdo0Spcu/d79Vq1aRfPmzWnQoAGbNm3KsfiydRXExMRw/fp1Ll68qPbRtqOH9rJ47nSatGjHuKnzcPfw5rch/yMiPExj+utXLzF53Eiq1/qa8VPnUapcRcb9NoiH9+9mSHvi2CFuXb+KlbWN2vYnjx6SmppKl17/448ZS2jXuRe7dwSyYrH2KrmDBw8yd84cWrRsybRp0/D08GDI4MGEh4drTB8fF4eDvT3t27fH0tJSY5q4uDg8PD3p0aOH1uL8EMd3zuXU3qXUaTWc9r+swcDAmBWTO5KUGJ/pPg9unqRk1Za0/3kNLfstJCU5ieV/dCQhPgaAqPCXREe8pEaTAXQZvpV67UZz5/Jhti4epPX4d526zMR1u+j6dRVWDuqKr7MdPaYuIzQyWmN6szzGdPqqEksGdGLt0O40+KIYwxZv4tiV26o0f437Qe0zvE0DdHSgRvHMGwPZcejgQebOnUuLFq2YOu1PPDw9GTJkUObXU3w89g72tGvf4d3Xk4cH3Xv0zJGYNdl3+BgzFiyhXdPGzJ00Bi8PN34cPoqw8AiN6ePj43Gws6NL6+ZYWVpoTLNyQyCBO/bQp2sHFv85iS5tWrByw2Y2bN2pMb027DpxgUmrttKlYXVWjPgeHxcHek6Yn+k1ZZ7HmI71qrFoSA9W/9aP+hVLMmL+Wo5duqFK42Zvw4DWDVjzWz8WDOqGo40lPSfMIyyTY2bX7uNnmLx0I50a12HpqAH4uDnRe8x0QiOiNKY/c+0Wtb4owczBfVgw4gfsrC3oNXo6L0PDVWl2zByl9hnStSU6OjpULR2QI3n4GLp5TIi8eIPL34/I7VA4fPAA8+bOpnmLVkyeNhMPT0+GDvmZ8EzqvWtXrzB+7Chq1arNlGkzKVuuPL//OpwH9+8BygfC338dxotnzxk0dCRTps0kn60dg38ZQFxcbIbjBW7aQE58f7T/8FFmzVtEm+bfMWvyeLw83Bgw9NdMy3dcfAIO9nZ0atsq0/IdFR1Nn58Goaery5jhg1kwfTLdOrTFNG9e7WcgzdFD+1g0dzrftWjL+KlzcfPw4td3tksu88e4X6le6ysmTJ1L6UzaJcVKlGbe0g2qT7+fhmo17j2BCzmwYwXNugzhx9HLMTA05s/fupGYkHldfeboTjYsHs9XTboxcOxqnN38+PP3bkRFhKjSLPlzEC+f3qfbgKkMmriBomVqMH/Sjzy6dw2A8NCXTBvZBRt7F34ctYyeg2by7PEdlk4f/N6Yt25Yyu6ta+jQfQAjxs/H0NCIscP6kPCOmP8+vIfl86fwTbOO/PbHYlzdvRk7rA8R4aGqNMvnTebcySP0/mk0g0fNJCw0mMmjB6p+r1DoUKJMJfoPmsCEWWvp0mcoly+cYuGMsao016+co1BAaf437A9++2Mx+QuXYOJvP3D/zg2y4r/elgI4umMeJ/5ayteth9Np0BoMDI1ZNqnTe/JwilJVW9Bx0Gpa/7CAlOQklk3spMoDQGJCHN6FKlLx6645EvebDh48yJy5c2nZogXTpk3Dw9OTwUOGZNqeiouPx97B4Z3t80uXL1Ovbl3+mDSJUb//TlJyMoMGDSIuLi4HcwJ/75rL6X1Lqd1yOG0HrkHf0JjVU999TT28eZISVVrSZuAamvVRXlOrpnRUOx/2rgX5uu1oOg/fTrM+80lNTWXV5I6kpCRnOdbDB/czf+4smrVozR/TZuHu6cmwIQPfWe9NGPs7NWvVZvK0WZQpV55Rvw5T1XsA8+fO5OyZU/T/cSDTZy+gXsNGzJ45jRN/HwPAxiYfi5etUfu0aNUWY2NjSpR8/wN7ZvlYMHcWTVu0YdK0WXh4ejF8yID35OM3atSqwx/TZlOmXHlG/zpULR+Llq1V+/Tu+yM6Ojp8Ub6iKs1vwweRnJzMb6MnMGnqTNw9PPlt+GDCQkM1/dmP9qnU3wAHt87n6O5lfNNhGL1GrMLA0Jj5Y7u8sy5MiI/BwdWPhm2HvPPYvkUqMPjPg6pP817a+6L7tQOHDjNn7jxatmjO9KmT8fTwYNCQoe985nOwt6dDu7ZYZXKPymdjQ4d2bflzymSmTfmDokWKMPzX37n/4IFWYs6tdlNSUiLlKlThy6/UvxTQln2HjzF9wVLaNv2WuZNG4+Xhxv+Gj35nuXC0s6VL6xaZlotxf87m9PlLDOrXk4VTx1OqWBF+GPobQSHaKctC5KbVq1fTv39/hg0bxtmzZylatChffvklL1++fOd+9+/f53//+x8VK1Z8ZzptyFIneVBQEHXr1sXU1JSCBQtSrFgxtY+2bdm4hhq161Kt5le4uLrTpdcPGBoZsW+35m8Ct29eR0CJ0jRo3BxnV3eat+6Eh5cvO7ZuUEsXEhzE/FlT6PPjEHR11QfVFytZhp79fiageGnsHBwpVbYC9Rs148SxQ1rL18aNG6ldpw61atXC1c2NXr17Y2hoyO7duzWm9/Xzo2OnTlSuUiXT0eylSpWibdu2fFE+Z0Yqa5KamsrJvUuo8HV3/AJqYOfsT/0O44gKf8mNc39lul+LvvMpWr4R+Zx8sHPxp177MUSGPuXZgysA2Dr58m33afgWrYaVrSse+ctR5Zu+3Lq4j5TkJK3mYelfx2lUoTgNyxfDy9GWwS3rYmSgz6Zj5zSmL+XnQbVi+fF0yIdLPitaVi+Lj5Md524/VKWxMTdV+xy4cJ1Svh4457PSauyvbdy4gdq1a1OzVi1cXd3o1as3RoaG7N69S2N6X18/OnbsTOXKmV9PJUuVok3bdnyhxVGk77M2cBtf16pOnRpVcXd1pn/3ThgZGrD9r/0a0/v7eNO9fSuqVyqfaT4uX79JhTIlKVeyOA52tlQpX5ZSxYpw7dZtjem1Yfmuw3xTuTQNKpbC08mOQW2/wchAn8BDpzSmL5nfi2olCuHpaIeLrTUtalXAx8We8zfvq9LUKVeMMgV9cLa1xsvJnv7N6xIdG8/Nx89zJA8rtu2jYbUvqF+lHJ7ODvzcsRlGBgZsPnBcY/rferWjSa1K+Lk74+5kz+AuLUlNTeXU5fQOIxsLM7XPoTOXKFHAB2c7G43H/CcF7TrEzWGTeRGY+X3rn7Jp43q+rF2HGrVq4+rqRo9efTA0NGRPJuV5c+BGipcoRaNvv8PF1Y1Wbdrh5eXN1i2BADx98oQb16/Rvdf3+Pr64ezsQo+e35OQkMDBA+pl6+6d22zasI4+ff+n9Xyt27SFr76sQe0a1XB3daFvj64YGhqyc4/mEfv+vt507dCWapUqZFq+V63bSD4bG37q2wt/Xx8c7O0oWTwARwd7rcf/2tvtkq5p7ZK9u7drTL9t8zqKlShNQ1W7pGNau2SjWjo9fQMsraxVn7ym2hvpm5qayv5ty6jduDNFS1XFyc2Xtr1+JyIsiAun9mW6396tS/iiemPKVW2Ig4sXzboMwcDAmOP7NqnS3L1xnsp1muPuUxgbO2fqNO6CSR5THt69CsDlM4fQ1dOjaadB2Dl54OZdiGadB3P+xF+8fPYwk7+sjHnn5lU0+K49JcpWxtXDh279hhMeGsyZvw9mut+OwJVUrdWAyjXq4eTqSfseAzE0NOLgX1sAiHkVzYG/NtOyYx8KFi2Jh3d+uvQZwq3rF7l9/RIAefKaUeOrxnj65MfG1oFCRUtR46vG3Lh6XvV3WnfuT93GrfHyKYC9oytN2/TA3sGFc6cOf8gpyZDX/3pbKjU1lRN/LaFS3W74F6uOnYsfDTuOJSr8JdfPZp6HVv3mEVChEbZOPti7+NOg42giQp/y7P4VVZqyNdtS4asuOHsWzfQ42rJx40bq1K5NrVq1cHN1pXevXu9sn/v5+tKpY0eqVK6c6X3qt19/pWbNmri5ueHp6Un//v15GRTErVu3ciwfqampnNq7hPJfdcc3oAa2zv7Uba+8pm6ez/x8NOsznyJfNCKfo/KaqttOeU09f5B+PopVaoqrbyksbJyxdy1I5QZ9iQx7RkTIkyzHG7hxPbVqf/VGvdcXQ0ND/tqteUDDlsANafVe07R6rz2eXt5sS6v3AK5fu0q16rUoXCQAOzt7atepi4enF7duXAdAV1cXSysrtc/xY0coX7EyxsbGWczHujfy4U73j8xHyzbt8fTyYduWTao0b8d48u+jFC4SgL2DIwCRERE8ffqExk2a4e7hhaOTM23adyY+Po4HD+5p/Lsf61Opv1NTUzmycwnVGnSlYInqOLj68V23MUSGv+TKmczfHvQvWokvm/ShUKl3v/Wop2+AqUU+1cckj7m2s8CGjZuoXftLvqxZAzdXV77v1QNDI0N27d6jMb2fry+dO3agSuVKmZ6LsmVKU7pUSZycHHF2cqJ92zYYGRlx/XrWvvR9W261m5q16kC9b77D1c2TnLAmcBt1a1XjqxpVcHd15gfVc+sBjenz+3ilPbd+gYF+xkkd4uMTOHT8JN3ataBowfw4O9jTvnkTnBzsCdyh+fwK8V8yadIkOnfuTPv27SlQoACzZs3CxMSEBQsWZLpPcnIyLVu2ZMSIEXh65kxZflOWOsn79u1LeHg4J06cwNjYmJ07d7J48WJ8fHzYvHmzVgNMTEzk7u2bFAlIf9VHoVBQOKAEN65f0bjPzetXKBJQQm1bQPHS3HwjfUpKCtMm/kaDxs1wcfP4oFhiXkWT11Q7r3YmJiZy+9YtAgICVNsUCgUBAQFcv3ZNK3/jnxIe/JjoiCA88qdPw2FkYoqTZ1Ee39XcyaxJfKxydKrxOxoT8bHRGBrlRaGrvZmCEpOSuPbwKWXypxc4hUJBGX9PLt59/N79U1NTOXHtLvdfhFDcR/Mr6yGR0Ry5dIuGFbT/JRKkXU+3bxEQkH585fVUjOvX/zvXU2JiEjfu3KVE0fTX+BUKBSWKFubqjaw/SBby9+XMxcs8eqKcBuT2vftcunqDMsUDshuyRolJSVy7/4QyBdJfQVUoFJQp6M3FO5l3CL2WmprKiau3uf8siOJ+mu9PiUlJbDhwgrzGRvi6OGgt9jePf/3eI0oXSn+9XKFQULqQH5dufdgDV1x8AklJyZjl1TydQkh4JEfOXaZBVc1TYX2ulOX5JkUD0qfaUZbn4ty4flXjPtevXyWgWHG1bcVKlFSV/8TERAAMDAzUjqmvr8/Vq5dV2+Li4pgwbjTdevTG0kq7X+glJiZy8/YdihctohZD8YAiXL1xM8vHPXbyNH7eXowYM4HGrdrTtc//2LYr5x4kEhMTuXP7plo7Q6FQUCSghFo7402a2yWlMrRjrlw6T/sWDejdpRWzp08kKlLzSKSsCHn5hMjwYPwKp7+qbJzHFHfvwty7cUHjPkmJiTy6ew3/Iun7KBQK/IuU4e7N9H08/QI4e2wXr6IiSElJ4fTRHSQmxuNToJTyOEkJ6Orpo1CkNzv1DYwAuHM983ZC0IunRISFUKho+ohOkzx58fItyK0blzKN+d7t6xQMSN9HoVBQsGgpVQf4vdvXSU5KouAbx3V0dsc6nz23blzOcEyAsJAgTh0/gH/B4hp/D8q2ZVxsDHnyfnynyH+9LQXpefAsoJ4HZ88iPLpz/oOPEx/z/jzklMTERG7dvq2xfX7t+nWt/Z2YV68AMNXiF2FvCw9+zKvIINzfvKaMTXH0KMqTj7im4t5zTSXEx3Dx2AYsbJwxs8xa5+brei/grXqvaEBxrr+j3iv6Vr1XvEQptfT++Qtw8sQxQoKDSU1N5eKF8zx98piA4pqnkLh96yb37t6hZq06Wc7HHQ31d9F31N83rl+laDH1+qFYiZKZpg8PC+X0qRPUeCNGUzMznJxd2L93D3FxsSQnJ7Nrx1bMLSzw9tY8BcfH5utTqL8BQoMeExURjE+h9LansYkpLl5FeHjrfLaPf/faKUb2qMD4/33FxoUjeBUVnu1jvun1Pap4QPoXhgqFgmIBAVzVUod2cnIyBw4eIj4ujvz5M58m6EP9V9tN75OYmMTNO/c0PrdeyWK5SE5OJjklBYO3vswwNDDg0jXt1UFC5IaEhATOnDlDjRrpXzYqFApq1KjB8eOaB+EBjBw5EltbWzp27PhPhJm1Ocn37dtHYGAgJUuWRKFQ4ObmRs2aNTEzM2P06NF8/fXX7z/IB4qKjCAlJRlzC/VXgywsrHjySHNnU3hYKBYW6g/35haWhIelv6Kyad0KFLq6fFX/2w+K49nTx+zYsoHWHbUzjUlkZCQpKSkZXsu0sLTk0eP3d8z+m0RHBAGQx8xabXseU2teRQR/0DFSU1LYvWoUzt7FsXXS3JiLiQrl8NYZFKvUNHsBvyUsOobklFSsTdVf7bM2y8P955nHHxUbR60BE0lMTEah0OGXFl9TroDmucI2Hz+PiZEB1YvlzFQrr68ni7de27KwsODRo0c58jdzQkRaPqws1B/ELC3MeZg2z3VWtGjcgFcxsbTp2R+FQkFKSgqdWjWlZpWceV0nPCqG5JQUrMzVrykrM1PuPwvKdL+omFhq9xtFYlISCh0FA9s0pGwh9fJw6Pw1fp65griERGzMTZn5YycsTfNoPw+R0Wl5UH+AtzI34/7TFx90jGkrArGxNKd0Ic0N7G2HTpDHyIiqpQKyG+4nJTIyQnP9YGHJ40zKc3hYGBYWFhnSv673nF1cyJfPlsUL59Ord18MjYwI3LSe4OAgtVex582dhX/+ApQtp/21ByIio9LypR6npYU5jx5nffThs+cv2LxjF982rEeLJo24ces2f85ZgJ6eHl9Wr5rNqDN63S6xeKtdYm5h+c52ScZ2jHq7pFiJ0pT9ohK29vY8f/aUFYvn8tuwnxg1YQa6urrZjjsyXFmfmVmo19WmFtZEhodo2oXoqDBSUpIxNX9rH3Nrnj9J/7KsY//xLPjjJ37qUBGFrh4GBkZ0+XEytg7KecN9C5Vm/eIJ7AlcSNWvWpEQH0vg8slpcWV+TwwPC0mLWb1NZ2ZhRUSY5teOoyLD09qNb7cDrXj2RPnaeER4CHp6+uTJa5ohTUSY+v/Fn+MHc/bEIRIS4ilWuiKdev+SabzbNy4nLi6WMhWq8yzzt/Y1+q+3peAdeTCz4VXkh+dh56pRuHgXx9Y5+517Hyuz9rmlhUWm99+PlZKSwuzZsylQoADu7u5aOaYmryIzOx8fd039tWYUzl7FyffWNXXmwHL2b5hAYnwMVnYeNOu7EF09g0yO9G6v6z0LDfXek3fWe2+ntyDsjXtD1+69+HPqH7Rv0wxdXV10dBT06tOPQoWLvH04APbs3oGLiyv5CxTU+Pvs5CPz+jtUQz4s1fLxpn1/7cbY2IRyb0y1oqOjw8hR4xk1cijNGtdDR0cHcwtLhv86RitvJH0q9TdAVFpdmNdM/Q3GvGbWRH1guciMb5EKFCpZA0tbZ0JfPGTnmsksGN+VnsNXoFBkvx6HN575LDLeox49yl4fwr379+n7w48kJCRgbGzM0MGDcHPN/rpH/9V20/tEREaSnJKCpcbn1qyVCxMTYwr6+bBkzQbcnJ2wtLBg7+GjXLlxEyf7nHvDQoisio+PJz5evdFraGiIoaFhhrTBwcEkJydjZ2entt3Ozo7rmQxEOHLkCPPnz+f8+fNai/l9stRJ/urVK2xtbQGwtLQkKCgIX19fChcuzNmzZ9+7v6b/yIT4eAw0/EfmhDu3brA9cB3jps77oEX7QoKD+H3oj5SrUIWatev9AxH+u136ezPblw1T/dys9+xsH3PHihEEPb1F259WaPx9fGw0q6Z1JZ+jF5XqaV7475+Wx9CA1YO7EROfwMnr95iwdhdONpaU0jDyN/DoOb4qXQRDLS76Kj7c/iPH+evgEQb3742Hqwu3793nz/mLsU5bwPPfIo+RIStH9iE2LoGTV28zaeVWnPNZUTJ/+pcvpfJ7sXJkH8KjXrHx4EkGzFjOkqG9sDLL2fkbP9aiwN3sOX6GWUP6YGig+brffPBvapcvmenvhfbo6enxy+BhTJ0ykeZNGylHRhYrTomSpUhNVaY58fcxLl44x5Rps3I32I+UmpqKr7cXndq0BMDHy5P7Dx6xZcfuHHvIzgkVKqcvzObm7oWbuxc9OzXnyqXzGUZTfYiTh7excvZI1c89fp6ulTg12bpqOjGvIuk9dA55TS25cGof8yf9SL+RC3Fy88XRxZs2PX9l/eIJbF4xFYVCQeU6LTA1t0bnjUWSXsf8umn2v6GTcizmD9WqUz8aNe/EsycPWbNkBsvnT6F9958ypDt2cBcbV82j36Dxyg7593yX+Cm0pS7+vYWtS9Lz0KJP9u8d25aP5OWTW3QYqDkPn4LpM2Zw/8EDJkyYoNXjXj6xmZ3L08/Hd72yf03tWjmC4Ke3aPVjxvNRsEx9PPKXJzoiiBN75rNpTl9a/7QSPf1/5nnuQ2zdvImb168xeNiv5LO148rli8yeMQ0rK2sC3hq9HR8fz6ED+/iuueaFPP8t/tqzk8pVq6u9GZaamsrsGVOxsLBg9LjJGBgasGfXDn4bPpgJU2ZgZWX9jiPmnn+i/j53dAsbFgxX/dz+fznXxgkol74Ao4OLL/aufozr/yV3r57Eu9C//61JZycnZkybQsyrGA4fPcqESX8wfuxorXSU5wRtt5v+LQb168nYabNp3KEHugoFPl4eVK9Ynht3Mq6vJ0RuGz16NCNGqK/nNWzYMIYPH57tY0dFRdG6dWvmzp2Ljc0/NzVrljrJ/fz8uHHjBu7u7hQtWpTZs2fj7u7OrFmzcHB4/2v/mv4ju/X+gR7f/5ghramZOQqFboZFHcLDQ7Gw1PwquIWlFeHh6t++R4SHqdJfu3KBiIgwurVrovp9SkoyS+bPYFvgOmYuXKPaHhoSzPCf++CbvxBde2eML6vMzMxQKBSEhb2Vr7CwTBfU+LfwDaiG0xtzQiYnJgDwKjIEUwtb1fZXUSHYubz/Fa2dK0Zy6+IB2vy4DDOrjN+QxsdFs3JKJwyM8tCkx3R09bTboWaZ1wRdhQ4hUeqLH4ZEvsLGPPOOR4VCgautstHp7+LAvWdBLNh5JEMn+dlbD7j/IoSxnZtoOoxWvL6ewsPC1baHh4djafXvvp7eZJ6Wj9C3FjsJC4/IdHGTDzFr0XJaNG5A9UrKudU93V15HhTE8nWbcqST3MLUBF2FgtAI9WsqNDIKa/PMR/QoFApc0+bm9nNz5N6zlyzYtl+tk9zY0ABXOxtc7Wwo4u1GgwHj2HToFB3qarcz0MIsb1oe1BfpDI2IxNri3dNOLd36F4s372H6L73wcXPSmObc9ds8ePqCUd+311rMnwozM3PN9UN4WKbl2cLSMsOCTeFv1HsA3j6+TP1zNq9evSIpKRFzcwt+6Nsbbx/ltEAXL5zn+bNnNGvSUO04Y0aNpEDBQoweOzFb+TI3M03Ll3qc2S3fVpYWuLk4q21zdXHi0LG/s3zMd3ndLnl7EbaIt/6/32RhaaWhHZN5egB7B0fMzMx5/uxJlh72ipSsgrt3+ivASUnKujoyPARzy3yq7VHhITi7+2XYHyCvqSUKha7aIp0AUREhmFko71VBzx9xcOdKBk3agKOLNwDO7n7cuXaWQ7tW07yLcpGzUhW/plTFr4kMD8HA0BgdHdi3dSk2dunn7nXMpgZxaTEnpsUciqVVeuM4MjwUV8/06azeZGpmkdZufLsdGKoaXW5uYU1SUiKvoqPURpNHhIdibqnemWRhaY2FpTWOzu7kNTXj14Fdadi0g1o8xw/tZt603+k9YBSFAj5ssb9PoS3lV7QqzsPSR+S+vsYy5CEyGDuX979Jt335SG5dOEC7AZrz8E/IrH0eFh6ulSmoZsyYwcmTJxk/bhz5tPzA51O0Go4eb1xTb5yPvOZvno8Pu6Z2rRzJ7UsHaPW/ZRqnUTEyNsXI2BQrO3ecPIvyR7/S3Di3h4Kl63507K/rvXAN9Z7FO+u9t9OHY5l2X42Pj2fp4gX8PHg4pUorp4zy8PDk3p07bNywNkMn+bEjh4iPj6da9ZofHf+H5COz60f53KohvYb64crlizx5/IgfB6ovHnnxwjlOn/yb5Ws2YWKifLvQy9uX8+fOsO+v3Xz7XfMs5wn+2/V3geLVcPHKeJ+KjgzG7I26MDoyBEfX7E8t8iZrWxfymFoS/OKh1jrJVc984RruUdnsQ9DX18fJUTnPvY+PNzdu3mJT4Gb69M7el6r/lXbTxzI3M0NXociwSGd2y4WTgz1TRw0jNi6OmJhYrK0sGT5uMo5vjb4VOeADBtAKdT///DP9+/dX26ZpFDmAjY0Nurq6vHihPpLkxYsX2Gt4U+LOnTvcv3+fevXSByqnpKQAygFgN27cwMtL80wO2ZGlOcn79OnDs2fPAOW3BDt27MDFxYUpU6YwatSo9+7/888/ExERofbp1PV7jWn19fXx9Pbl0vkzqm0pKSlcOn8WP3/Nr8L5+hfk0gX1Ee0Xzp3CNy195WpfMvHPhUyYNl/1sbK2oX6jZgz+NX1UR0hwEMMGfo+ntx89+w5Um0szu/T19fH28eHCG68NpKSkcP78efzz58yUHNpiaJQXK1s31cfG0Zu85vm4fz19HqH42Gie3L2As2fmc3Cnpqayc8VIbpzbQ+sfFmOZzyVDmvjYaFb80RGFrj5Ne87MkdEp+np65Hd15OS19FfHU1JSOHn9LkU8nd+xp7qU1FQSkjIugrXx6FkKuDrg55JzD3z6+vp4e/tw/sL59HheX0/+/+7r6U36+nr4eXly9mL6XLMpKSmcuXiZAn6aO0Q+RHxCPAqFeqWnq1CQ+noIrZbp6+mR392Jk1fTFwZNSUnh5NXbFPH68NEYKampJCYmvzNNakoqCYnaXXwNlHnw93BRW3QzJSWFU1duUtgn83Uclmzew/wNO5k6sAcFvDTP0Q8QuP84+T1c8HX78DL2uVCWZ18uXkifMzYlJYUL58/h519A4z7+/gW4cF59jtnz585qLP958uTB3NyCp08ec/v2TcqkTa3ybZNmTJs+m6l/zlJ9ADp27kafftlfxFNfXx9fby/OvVW+z124SAG/rE+rUCi/v2q9gdceP3mGnW2+TPbIHn19fbw0tEsunj+rame8zde/IBcvnFHbdvHc6UzbMQAhwS+JiorE0jJrIwCNjPNg6+Cq+jg4e2FmYcONyydUaWJjorl/+xIefpoXQ9TT18fFMz83LqXvk5KSwo1LJ/D0Ve6TEB8LgEJHvY2kUOiSmtaQfZOZhTVGxiacObYLfQMDtfnOX8ds7+iCvaMLTi4emFtac+VC+oLHMTHR3Ll5BR+/whmO/TpmD29/tX1SUlK4cvEU3v7KfTy8/dHV0+PKxfQ0Tx8/ICToOT5+hTQeF5T3W4CktA5tUI4gnzP1N3r+71eKlaqQ6b5v+xTaUobGebGyc1N98qXl4e419Tw8vnsRF6+Ad+Zh+/KRXD/7F21+XIRlvtyrF/T19fHx9ub8hfQ591+3p/L7Z70DLTU1lRkzZnDs+HHGjB6t8WEwuzJcUw7e5DHLeE09vXcBp/dcU7tWjuTm+T206LcYC5uM11TGfZT7ve6Y/1iv670Lbzy/Ke+r5/B/R713MUO9d0aVPjk5iaS06evepNBVqMrym/bs3kHpMuUwN7fIUh5e58NLQ/198R31t59/AS6eV39uPX/ujMb0f+3egZe3Lx6e6p0C8fHKLxZ13sqrjo4OqakZ78Mf679cfxsa58HG3k31sXPyxtTchttX0jvi42KieXTnIq4+AVr7uwDhIc+JiQ7HzEJ7+Xl9jzp3/qJqm/IedYEC/pq/8M6q1NRU1Zo22fFfaTd9LH19PXy9PDhzMX0tk5SUFM5evEzBbJSL14yNjLC2siQqOppT5y9Svsx/d3S8+HQZGhpiZmam9smsk9zAwIASJUqwd2/6IskpKSns3buXcuUyfpHo7+/PpUuXOH/+vOpTv359qlatyvnz53FxeX/7JCuyNJK8Vav019CKFy/OgwcPuH79Oq6urh80DF7THDUGhrGZpq/3zXf8OWk0Xj5+ePvmZ1vgWuLjYqlaU/lK09SJv2NtbUPLdl0B+Kr+twwb+D2bN6yiRKlyHDm0l7u3b9AtbSS4qZk5pmbqc0fp6uphYWmFk7OyAyskOIhhP39Pvnz2tOnYg8iIcFVaSy29svbNN98waeJEfHx88PXzI3DTJuLj46lZUzmCYcKECVhbW9O+vXKkZWJiIg8fKuftSkpKIiQkhDt37mBsbIxj2re+sbGxPH2a3th48eIFd+7cwdTUVDVFjrbp6OhQunobjmybiZWtGxY2zhwInIKphS1+xdIn5V82sS1+xWpSqpry+tm5YgSXT2zlu54zMDDKo5rL0tDYFH0Do7SHug4kJsTSoON44uOiiY9Tjsw1MbXS2txuAK1rlGPIoo0UcHekkLsTy/f+TWxCIg2+UD5EDF64AVsLM77/Rpmf+TsOU8DNEZd8liQkJXPk8i22/X2RX1qqz8cfHRvHnjNX+eHbWlqLNTPffNOISZMmKK8nXz8CAzcSFx9HzZrKvz1xwnisra1p174DoOl6Cn7v9fT8xfMcv56aNPia0VNm4OftRX4fL9Zt2U5cXDx1alQBYNQff2JjbUWXNi3S8pHE/bQ5+JISkwgOCePW3fsYGxvh7KB8CC1XqgRL127ENp8N7i7O3L57nzWB2/iqRs5NxdDyy4oMm7uGAh7OFPR0ZsXuI8TGJ1K/onKxqCFzVmNraUbvJsqFlxZs3U8Bdyecba1JSEri6IUbbD92lp/bfANAbHwC87bso3JAfmwszAiPfsWavcd5GRZJzdKaO4uyq8XX1Rgxcyn5PV0p6O3Oyh37iY2Pp15lZafWsBlLyGdpTq/mDQBYvHkPs9du47debXHIZ01weCQAJkaGmBil3/OjY2LZe+IcfVt+kyNxZ5VuHhPyeKd/iWHi4YxZUX8SQiOIe/TsH42l4TeN+WPSOLx9fNXKc42aXwIwacJYrK1taNteuYBJ/Qbf8POAH9i4YS0lS5Xh8MED3L51k169+6qOeeTwQczNLciXz5b79+8xd/YMypT9guJpC5hZWllpHOmWL58t9vbaWRz224b1GPvHNHy9vfD39WF94Fbi4uL5skY1AMZMmoqNtRWd2irricTERB68Lt9JSQSHhHD77j2MjYxwclTG1LhBPb7/6ReWr1lPlQpfcP3mbbbt2kO/Xt20ErMm9b75jmmTRuPl44+Prz9bA9cRHxdLtZrK8jx14u9YWeejVbsuAHxd/1uGDvyezRtWU7xUWY4e2sed2zfo1lv55UNsbAxrViymXPlKWFha8fzZU5YumIW9gxMBJUppJWYdHR2qft2KnevnYGvvirWtE1tXT8fcMh9FS1VTpZsyohNFS1enSh3lyMPqdduwZPpgXL0K4O5dmH3blhEfH0vZqg0BsHfyIJ+9KyvmjKRR6x/IY2rBhVP7uH7xON0G/qk67oEdK/H0K4qhkQnXL/7NxqWTaNCyDyZ5Mn8zRUdHh9r1m7FpzULsHF2wtXNk3fLZWFjZUKJs+ltAowb3pGTZKtSqq3xjq06D5syePBIP7/x4+RZg5+ZVxMfFUbm6coSrSZ68VKlRn+Xzp5A3rxnGJnlYMmciPv6FVR3p508fJSI8FE+fAhgZGfP44V1WLpqGb/4i5LNT1pHHDu5i9uQRtOrcHy+/Qqo51A0MDAGLjz4///W2lI6ODmVqtOHw1llY27ljYePE/o1TMbWwxb94eh6WjG+Hf/EalK6uzMP2ZSO5dGIrzXpPx1BDHkA533l0RDChL5XtlhePb2JolAdzKweM81poLQ+gbJ9PnDQJHx8f/Hx92RQYmO32+fQZMzhw4ABDhw7F2NiY0LS1IPLkyZPpw2R26ejoUKp6G45tV15T5jbOHEq7pnwD0s/Hiklt8S1Wk5JVledj18oRXD25lW97aL6mwoIece30djwKlMfE1IqosOcc3zkHPQMjvApl/e28Bt80ZvKkcXj7+OHr68fmwA3ExcdRvWZtAP6YMAYraxvatu8EQL0GjfhlQH82blhLqVJlOHRwP7dv3aRn734AmJjkoVDhIixcMAcDQwPldCuXLrJ/7x46dFavH54+fcKVy5cYOuL3LMefno9vmTJpLN4+vvj4+rMlcL1a/f3HhDFYW9vQ5o18DBrQj00b1lCyVFkOH9zPnVs36dlbfWReTMwrjh4+RPtOGes2f/+C5MmblykTx9K0RWsMDAzYvWs7L188p2SpshnSZ8WnUn/r6OhQoXYb9m2ajY2dG5a2zuxeNxUzC1sKlkifvmPOqPYUKlmDL2opp4KJj3tFyIv0+bNDg57w9ME1jPOYY2njSHzcK/7aMINCpWtham5D6IuHbF81EWs7V3yLfPgXqB+i0TcNmTDpD3x9vPHz9WVjYCBxcXHUqqks1+MmTsLG2poO7doCr+9RyjnxE1X3qLsYGRupRo4vWLSYUiVLkC9fPmJjY9l/4CAXL13i919HaA7iI+VWuyno5QuioyIJDnpBSkoy9+7cAsDe0QljY5Ns5+u7Bl8zespM/L098ffxZt2W7cTGxVOnhvJe+Psf08lnbUWXNso21ZvPrYmJyQSHhGZ4bj159gKppOLq5MjjZ8+ZtWg5rk6OfFW9SrbjFSK39e/fn7Zt21KyZElKly7N5MmTefXqlapN1aZNG5ycnBg9ejRGRkYUKqQ+eOX1Glxvb9emLC9rP3/+fP744w9u3VLeaHx8fOjbty+dOnXSWnCvla9UnciIcFYtW0B4WCjunt4MGjlB9bpNcNALFG+8GuFfoDB9fhzKqqXzWLF4Lg5Ozvw0+Hdc3T0/+G9ePHea50+f8PzpE7q2baz2u3XbDmklX5UrVyYyIoKly5YRFhqKp5cXI3/9VfWqVNDLl2r5Cg0NpXev9Ned1q9fz/r16ylcuDBjx40D4NatWwwcMECVZu6cOQDUqFGD/j/8oJW4NSlXuzMJCbFsWzqUuJhIXHxK0LzPPLXRSmFBj4iJTn9t6syBlQAsndBa7Vj12o2maPlGPHt4hSf3lCN5ZgxSf/Wx1+i9WNhob6TRl6UKERb9ipmb9xMcGY2fsz0zvm+Fddo8z89CI9Tmr4+NT2DUym28DIvEUF8Pd3sbfu/QiC9LqRfWnacuQ2oqtXOoE/NNlSpXJiIygmVLlxIWFoanpycjR/6Wfj0FvURH8eb1FML3vXuqft6wfj0b0q6nMWPHA3Dr1k1+Hph+Pc2bq7yeqteoQf/+2R9Zqkm1il8QHhnJwhVrCA0Lx9vDnXHDfsYq7Yb4IjgEnTfe6ggODaVzv/QYV2/awupNWyhaqABTflfOzdmnc3vmr1jN5FnzCYuIwMbKinpf1qBt0w9buDcrvixTlLCoV8zcuJuQiCj8XB3584cOqulWnoeEq5Xv2PgERi/dxMvQCAwN9HF3yMevXZrxZRnlaE2Fjg73n71k65EzhEe/wjyvCQU9XJj/Sze8nHLmLYVa5UoQHhnN7HXbCAmPwtfNiakDe6qmW3keHKpWLtbvOUxiUhIDJs9XO07nxnXo8m36F0i7j58hNTWVL8uXzJG4s8q8RCHK7V2q+rnABOUCfY+WbOBix5//0VgqVq5CRGQ4y5cuTivPXowYOSrT8py/QEH+99PPLFuyiCWLFuLo5MSgIcNxc08f9R8aGsr8ubNVr3FXq16Tps1b/qP5qlqxPBERESxavoqwsHC8PD0YM2Kw6rXUl0HBatdUSGgYXfuk32vWbNzMmo2bKVqoIJNGK+fb9vf1ZsQvPzF/yXKWrlqLg50tPTq3p0aVSjmWj/KVqhHxRrvEw9ObwSPHv9Eueak2os+/QCH6/jiElUvns1xDu0Sh0OXB/Tsc2LuTmFfRWFrZUO4gzZAAAQAASURBVLRYSZq37oi+ftYWwtOkZoP2JMTFsmL2SGJjovDyL0bPQTPRN0ivq4NfPOZVVHpdXaJ8baIiw9i6egZR4cE4ufvRc9BM1QKgunr69PhlOoHLJzNrbG/i42LIZ+9K656/Uah4+sJyD25fYvuaGcTHxWDn5EHzLkMoU/n967zUbdSa+LhYFkwfTcyraHwLFOWn4VPSOqKVXj5/QlRkuOrnshVrEhkRzvoVc4gIC8HN05efhk9Wm0qlZae+6Ch0mDLmZ5ISEyhcrCzt3phr3MDAkAO7A1k+fzKJiYlY29hSslxV6jVuo0qzb9cmkpOTWTxrPItnjVdtr1jtayo3//j51P/rbSmA8nU6kZgQy5bFyjy4+pSgVb+5ankIDXqolofTaXlYPK6N2rEatB9FQIVGaWlWcXBz+rz6i8a2ypBGWypXrkxEZCTLli4lNCwML09Pfh05UnX/fRkUpNYOCQ0NpVfv3qqf32yfjxs7FoBt27YBMOCNNjpA/379VJ3vOaHsl51JTIhlx7K0a8q7BN99r35NhQc/IvaN83HuoPJ8LJ+ofk193XY0Rb5ohJ6+AY9un+bU3sXExUSSx8waF5+StPlpZYZFQj9GxcpViYiMYMXSRap6b/jI0W/Ve+n/7/kLFOSHn35h+ZKFLF20AEcnJ34ZMkKt3vtxwGCWLJrPxPGjiY6KIp+tHa3adKDOV+r3nr9278TaxoZixbPfLqlYuSqRb+TDw9OLYSPHqNUPirfq7x9+GsSyJQtU+fh5yEi1fAAcPrifVFKpVCXjAA8zc3OGjRzDsiULGPLzDyQlJePq5sYvQ0ZmGHWeVZ9K/Q1QuW5HEuJjWb9gGHExUbj7FqfDT3PU6sLQl4/U6sLHd68wZ1Q71c9blyvLdomKDfmu6ygUCl2ePbrJmSOBxL2KxMzSFp/C5an1bW/0tFiPA1SpVJGIiAiWLFuueub7feSIN8pKkNozRkhoKD2+76P6ed2GjazbsJEihQsxfsxoAMLDIxg/8Q9CQ0MxyZMHD3d3fv91BCWKZf7WycfIrXbTqmULOLB3p+rn/32v7KsaMXoyhYpkP2+vn1sXrFib9tzqxvhhA1XPrS+Dg9XKe3BoKJ36DUyPb9NWVm3aSkCh/Krn1uiYGOYuXUlQcCimpnmpXK40nVo1Q08vy113QvxrNG3alKCgIIYOHcrz588JCAhg586dqsU8Hz58qNUZPLJCJzUL8w0MHTqUSZMm0bt3b9Ww+OPHj/Pnn3/Sr18/Ro4c+Z4jZHTp9ntWOPoPMFG8yu0QtOLY4w//MuHf7NuUlbkdQrY9cdHO6I/clicx4v2J/uXMwu7ndghakWyYJ7dD0IrDZf4dC/hmh8/1PbkdglaYJEfmdgjZFq745xaDyUnPY/47a1C8i/k73i78r7j+wiK3Q9AKXUXOTEv2Tyrr8Gksdnbokfbn3cwN5Vwe5XYI2ZbKpzFvbd7k8NwOIdtOR/x3ppV8lwDLO7kdglZE8+51i/4LbJL+2bdHc4q9v3a+4PicxO1ZlNsh/OcY1WyX2yFoXZa+jpo5cyZz586lefP0RUDq169PkSJF6N27d5Y6yYUQQgghhBBCCCGEEEKIf1qWOskTExMpWTLj62glSpQgScPChUIIIYQQQgghhBBCCPGvk8vTfIh/hyxdBa1bt2bmzJkZts+ZM4eWLf/Z+U2FEEIIIYQQQgghhBBCiKz64JHk/funr7Cto6PDvHnz2L17N2XLKudMPnHiBA8fPqRNmzaZHUIIIYQQQgghhBBCCCGE+Ff54E7yc+fOqf1cokQJAO7cUS4yYWNjg42NDVeuXNFieEIIIYQQQgghhBBCCCFEzvngTvL9+/fnZBxCCCGEEEIIIYQQQgghxD9OZqYXQgghhBBCCCGEEEII8dn64JHkQgghhBBCCCGEEEII8SlJ1dHJ7RDEv4CMJBdCCCGEEEIIIYQQQgjx2ZJOciGEEEIIIYQQQgghhBCfLekkF0IIIYQQQgghhBBCCPHZkk5yIYQQQgghhBBCCCGEEJ8t6SQXQgghhBBCCCGEEEII8dnSy+0AhBBCCCGEEEIIIYQQIlfoyBhiISPJhRBCCCGEEEIIIYQQQnzGpJNcCCGEEEIIIYQQQgghxGdLOsmFEEIIIYQQQgghhBBCfLakk1wIIYQQQgghhBBCCCHEZ0s6yYUQQgghhBBCCCGEEEJ8tvRyOwAhhBBCCCGEEEIIIYTIFToyhljISHIhhBBCCCGEEEIIIYQQnzHpJBdCCCGEEEIIIYQQQgjx2ZJOciGEEEIIIYQQQgghhBCfLekkF0IIIYQQQgghhBBCCPHZkk5yIYQQQgghhBBCCCGEEJ8tvdwOQAghhBBCCCGEEEIIIXJDqo5Obocg/gX+NZ3kTjE3czuEbIsxssztELTi4dPk3A5BO2yTcjuCbDP585fcDkEr8rZsm9shiDTxRua5HYJW+Fzfk9shZNst/5q5HYJWFL66KbdDyDZjRUxuh6AVd57b53YIWlHRMyS3Q8i20IhP416r+ATeOdWzS8jtELQiNi63I9AOt/v7czuEbEt5fD+3Q9CK2BI1cjuEbEtI+jQ6tZIV/5pumWwxTYnI7RCyzeLuqdwOQTv8i+V2BEL8J30CTV8hhBBCCCGEEEIIIYQQImukk1wIIYQQQgghhBBCCCHEZ0s6yYUQQgghhBBCCCGEEEJ8tqSTXAghhBBCCCGEEEIIIcRn69NYIUIIIYQQQgghhBBCCCE+lo6MIRYyklwIIYQQQgghhBBCCCHEZ0w6yYUQQgghhBBCCCGEEEJ8tqSTXAghhBBCCCGEEEIIIcRnSzrJhRBCCCGEEEIIIYQQQny2pJNcCCGEEEIIIYQQQgghxGdLL7cDEEIIIYQQQgghhBBCiFyho5PbEYh/ARlJLoQQQgghhBBCCCGEEOKzJZ3kQgghhBBCCCGEEEIIIT5b0kkuhBBCCCGEEEIIIYQQ4rMlneRCCCGEEEIIIYQQQgghPlvSSS6EEEIIIYQQQgghhBDis6WX2wEIIYQQQgghhBBCCCFErlDIGGIhI8mFEEIIIYQQQgghhBBCfMakk1wIIYQQQgghhBBCCCHEZ0s6yYUQQgghhBBCCCGEEEJ8tj66kzwpKYmRI0fy+PHjnIhHCCGEEEIIIYQQQgghhPjHfHQnuZ6eHuPHjycpKSkn4hFCCCGEEEIIIYQQQggh/jF6WdmpWrVqHDx4EHd3dy2HI4QQQgghhBBCCCGEEP+MVB2d3A5B/AtkqZO8Tp06DBw4kEuXLlGiRAny5Mmj9vv69etrJTghhBBCCCGEEEIIIYQQIidlqZO8R48eAEyaNCnD73R0dEhOTs5eVB9g3c59LN+8i9DwCLzdXOjfoTkFfTw1pg386xA7Dh7n7qMnAPh5utGt+TeZph87Zymb9hykT7umNPu6Zo7lAWDTth2s2RBIaFg4Xh7u9O7aEX9fH41p7z94yKLlq7h55y4vXgbRo1N7GjeomyFdUEgIcxct4+SZs8THJ+DkYM+PfXri5+Odo3mpVEiHYl46GOrD42DYcTqFsOjM0xf31qG4tw4Wad+xBEXAkSsp3Hmm/Nk8D/Sqp6tx3/VHk7n+SLvxrzpwmsV7jhMSGY2vsx0Dmn5JYXcnjWn3nrvO/J1HeRgUSlJyCq62VrSpUYa6ZYqo0sTEJTBl0z72X7hBxKtYnKwtaF61FE0qldBu4G8wKV+TvNXqoWtqTuLTh0RsWETiwzsa01r3HIKhd4EM2+OuniN07jhQ6GL61XcY5Q9A19qW1LhY4m9eInLrKlIiw3IsDwBrdh9m6bZ9hERE4uPqxI9tG1PIy01j2o37jrHtyCnuPFJeOPk9XOjRtK5a+pCISKat3MLfl64TFRNLcX8vfmzbGFd72xzNx+q/jrFkxyFCIqLwdXXgp1YNKOTpojHt3tOXWbB1H49ehJCUnIyrnQ2taleibvniqjSzNu5h94kLPA8NR19Pj/zuTvRs/CWFvVxzLA/rt+9h5abthIZH4OXuQr9ObSjg66Ux7ebd+9l54Ah3HyrXrPDz8qBryyZq6Q8eP8WmXfu4cec+kdHRLJz0Gz4ems9tVm3bEsiG9WsJCwvFw8OLrt174uvnn2n6I4cPsmzpYl6+eI6joxPtOnSiZKkyqt+HhYWxaOFczp89Q/SrVxQqVJiu3Xri6OSc4VipqakMHzqIs2dO8cvg4ZT7orxW8/YhrCqUxPOHjpgXL4SRoy2nG/fgxea9/3gcmQncup21Gzaq6r2eXTvj7+erMe39Bw9ZvHwFt27f4cXLILp37kCjBpl/Eb9q7XrmL17KN/Xr0qNLp5zKAgBbtmxh/bp1hIWF4eHpSffu3fHz89OY9sGDByxdupTbt27x8uVLunTpQsNvvlFLc+nSJdavW8ft27cJDQ1l8JAhfPHFFzmaB1Bes8e2T+XysbXExUbi5FGc6k2HY2nrnuk+J3fP5taF3YS+uIuevhGOHsWo2OB/WNkp21URIY+ZP7y6xn3rdpiMb7E6WY53+9aNbFq/mvCwUNw9vOjU7Xt8/fJnmv7o4QOsXLaAly+e4+DoTJv2XShRqqxamkcPH7B04RyuXL5AcnIyLq5u/PTLCPLZ2vHyxXO6dmiu8dj/GziM8hWrZDkvb0tNTeXUrmlcPbGW+NhIHDyKU6nRMCzyuWe6z+VjK7l8fCVRoco2rpW9NyVr9MQtfyVVmit/r+bW2a0EPblKYvwrOv56EkNjM63F/T6pqamc3DmNK3+n56vKt+/O16WjK7l8bCWRb+SrdC31fOUkbd+nlixfydKVq9W2uTg7sWDW9BzLAyj/7//eMZVLx5X/944exanW5D3le89s7lzYTehLZfl28ChGhXrp5RvgVWQQhwPH8fDGMRLiX2Fp60Hpmt3wCfhS63lYdfA0i/f8TXBa+3zgd7UybZ//de4683cd5VFQGInJKbjZWtK6elnqlSmsShMSGc3kTfs5fu0uUTFxFPdxZeB3X+Jma6X12F9bffoGi09cIyQ6Fl87SwbUKkkhRxuNaTdfvMOwrX+rbTPQVXBiQPp9aNahi+y6+oDnUa/Q19Ulv70VvSoXpbCT5mNqy/ode1keuEP5/O3uSv+OLSmQ2fP3noPsPHiUuw9fP3+7061lY7X081Zv4q8jJ3gZEoq+nh5+nu50bdGIgpm0M7UlNTWVfRuncfrgWuJionD1KUb9NsOwtnfPdJ/7N05xZPsCnj64QlR4EM17T6NAiRpqaaIjgtm9ZiK3rxwlLiYKN9+S1G016J3HzapPpQ2yees21q7fSGhYGJ4eHvTs1uWd99oly5an3Wtf0q1zRxo1bJDpsVetWceCxUv4pkE9unfpnFNZYNWRcyzed5rgqFf4OuZjYKNqFHZzeO9+O85eZ+DSbVQt5MXkjg0BSExO5s/tRzly7R6PQ8IxNTKkjK8bfepWxNY8b47lQQiR7qPnJAdISUnJ9PNPdJD/dfQkUxevoWOTeiwaOxQfNxf6/T6Z0IhIjenPXrlBzQql+XPY/5jz+8/YWVvS97c/eBmSsaPvwImzXLl5FxtLixzOBew/fJRZ8xbRpvl3zJo8Hi8PNwYM/ZWw8AiN6ePiE3Cwt6NT21ZYZRJfVHQ0fX4ahJ6uLmOGD2bB9Ml069AW07w5e1Mt569DKV8ddpxOYdGeFBKToHkVBbrvuMKiYlLZfyGF+btSWLA7hQcvUmlSQYFN2nNbZAxM3pSs9jl4KYX4xFRVR7q27Dp9hYnr99D164qs/KUTvs529Ji6ktDIVxrTm+UxolOd8iz5sT1rB3emQbmiDFuyhWNX0zukJ6zfw7Grd/i9fQM2DOtGi2qlGbN6Jwcu3NRu8GmMAspi3rA1UbvWEzTxFxKfPsC660AUeTU/CIcunMTzod1Un5djfyQ1OZnY88qGuY6BAQbOHkTt2UjQxF8IXTgJPVtHrDr9L0fif2338bP8sXwjnRt9ybLffsTX1ZHeY2YSGhGlMf2Za7f5slxxZg3qxcIR/bCztqDXmJm8DA0HlA3h/02az5OXIUzs34nlv/+IvY0VPUbNIDYuPsfysevEBSat2kqXhtVZMeJ7fFwc6DlhPqGRmr85Ms9jTMd61Vg0pAerf+tH/YolGTF/Lccu3VClcbO3YUDrBqz5rR8LBnXD0caSnhPmEZbJMbNr75G/+XPhCto3/Yb5E39VPhCNHJfpPerclWvUqFiOab/+wuwxw7CzsaL/iHEEhYSq0sTGx1Mkvy/d2zTNkZgPHzzAvLmzad6iFZOnzcTD05OhQ34mPFzzFzvXrl5h/NhR1KpVmynTZlK2XHl+/3U4D+7fA5TXz++/DuPFs+cMGjqSKdNmks/WjsG/DCAuLjbD8QI3bSC339TTzWNC5MUbXP5+RO4GosGBQ0eYPW8BrZo3Y+aUSXh6uPPz0BGEhYdrTB8fH4+DvT0d27bBytLynce+cfMW23buwvMfmAru4MGDzJ0zhxYtWzJt2jQ8PTwYMngw4ZnlIy4OB3t72rdvj2Um+YiLi8PD01M1EOGfcuqvuZw/uJTqTYfT4oc16Bsas2FGR5ISM78/Prp9koCKLWn+wxq+7bmQlOQk1k/vSGJ8DACmlg50/f2I2qfcV73RNzTBvUDWOzmPHNrHwrkzadqiLROnzsHdw4uRQ37KtHxfv3qZSeN+pXqtr5g4dS5lylVgzG9DVOUb4NmzJ/zy0/c4ubjw65g/+GP6PJo0a42+gQEA1jb5WLB0vdqnWct2GBkbU7xkGY1/N6vO7Z/HxSNLqdx4OI2/X4OegTFb53Z657nIa25Hua9+oEnf9TTpuw4n77LsWNST0Oe3VGmSEuJw9a9IiepdtRrvhzq7bx4XDi+lSpPhNOm7Bn0DYzbPfk++LOwo9/UPNO2/nu/6rcPZpyzbFvQk5I185ZScuk+5u7qyeulC1eePsaNzKAfpTu+dy7lDS6n+3XCa9VP+32+c9e7y/eT2SYpUbEmzfmto1ENZvjf+n727DpOq+h84/t7Z7u7upbu7QSlBSukuJfwqogiC/gSRElBQQrq7UxoE6e6u7e7Zmd8fs+wyMAsIM67K5/U88+hezr17zs6995zzueeeMyP/+gbYvmgY8VG3aN5rBp2GbSSkZAO2zBtM1P2Les3/tuMXmbB6F33ercGy4T0I93aj37RlxCbrbp/bW1vSs3E1FvyvK6u+7EWLyqUYtXAjh3Lb52q1msG/rOJ+TDxT+rRh+Rc98XSyp8/UxaRlZuk1709sv3ibibtP0qd6CZZ0f4cwN0f6L9tDXGpGgfvYmJuy8+NWeZ8tA1pq/bu/sy3DGpVnZc93+a1TA7zsrem/7PcXHvNN7Tp0lKnzltG9bQt+++FrQvx9GfLNxAL736cuXKZ+9cpMGz2MX74bgZuLE4PHTCD6qf63n5c7n/TsyMJJ3zDj2y/wdHNm8DcTiS/gmPpyYMts/ti5iOZdvqbPyOWYmVsxf2IvsrMKvi6yMtPx8AunaaevdP67Wq1mydSBxEXf44OPf6Lf6DU4uHjx2w/dyXrq2tGH/0obZO/+A/wyaw4dP2jPz1MnExQYwBdfjXrhvdbDw4PuXV+1TbiNoMAA/Wf8KdtOXWbCun30aVSFZZ90ItzLlX6/rCY2+cXf+YO4RCZt2EfZIO0HfhlZSi7fj6R3g8os/6QTk7o153ZUHINmrzNgKYQQT3utIHlhW7ppJ83r1aBpneoE+nrxWe+OmJuZsen3gzrTjx7Ui9aN6hAW6EeAtyfD+3ZFpVZz/PwlrXRRsfFMmruUrwf1xMRE9whmfVq1biPvNKpP4/p1CfDzZXD/Ppibm7Ntp+4RfxFhIfTp3oW6NatjamqqM82yVWtxdXHhs8EDiQgLxdPDnfJlS+Pl6WHIolAx3IiDF9RcfQBRibDhqApbSwj3KThadO0h3HgE8SkQlwx7z6nJUoK3i2YftRpSM7Q/4T5GXLqnJlvP68Yu3H2UVtXK0LJqaYI9XRnR4R0szExZd+S0zvQVwgKoWzqCIE8XfF2d+LBuRUK93Tl1PX94+5kb92lWuSQVwgLwdnbg/RplCfN25/ztB/rNfC6b2u+SduR30o/tQxn5gMSVc1BnZWFVqbbO9Oq0VFTJiXkf87ASqLMzyThzVPPvGenEzvyOjNN/kBP9iOw710lc/RtmvkEYOzgbpAwAi7fupWWdqjSvVZkgHw+Gd2+LhbkZG/b9oTP9twM606ZBDcIDfAjwcmdErw6oVSqOXdA8jLj7OJpz12/zefc2FAv2J8DLneHd2pCZnc32IycNV47tB3ivVkVa1KhAkLc7X3Z5DwszU9bv/1Nn+vJFgqlbrjhBXu74ujnzQcPqhPp6cPrq7bw0TaqUoVKxUHzcnAn29mBoh6akpGdy9f5jg5Rh2YatNGtQm3fr1STQ15tP+3bDwtycTbv360w/akh/WjWpT2igP/4+Xgzr3xOVWsXxs/md5sa1q9Ot3XuUL1XMIHlet3Y1jRo3oX7Dxvj5+dN/4CDMzc3ZuWO7zvQb1q+lbLkKtHq/Lb5+/nTs3JXg4BA2bVwPwMMHD7hy+RL9Bn5MWFg4Pj6+9B/wMVlZWezbu0frWDdvXGfdmlUMGmzYB0kvE719P1dHTSFy/a5CzYcuq9etp0mjhjRuUA9/P18GDeiHubk52wuo98LDQundvSt1atXA1LTgl9/S09MZO2EyQz4agI2NdYHp9GXt2rU0btKEhg0b4ufvz8CPPsLc3JwdO3boTB8WHk6Pnj2pVbt2gfV3hQoV6NKlC1Wr/X1vH6jVak7tXUClRv0IKVkfV+8IGncaT0piFNfPFnz+tO4/h2KVW+HiGYqrTwSNOo4jOf4hkfcuAKBQGGNt56r1uX52F2FlmmBm/vrfz4a1K2nQ+F3qNWiCr18AfQcOxdzCgt07tupMv2nDasqUq8h7rdvj6+fPB526ExQcypZNa/PSLFkwh3LlK9Gle1+CgkPx9PSmYuVqODhoOuDGxsY4OjlpfY4eOUi16rWxtLR87bI8S61Wc/bAAsrV70tg8Xq4eIVTr/33pCZFcet8wd9FQLG6+BephYNrAA6ugVRuMgRTMyse3zmTl6ZUzS6Urdsbd79Sesvvq1Kr1ZzZv4DyDfoSlFuu+h9oynXzBeUKLFaXgKKacjm6BVLlHU25Im+fKXAffTHUfUphrMDJ0THvY29v2NH8arWaU/sWUKlhP4JLaK7vRh3Hk5oYxY1zBf/t3+s3h2KVWuHsGYqrdwQNP9S+vgEe3TpF6Zod8fAvib2LL5Ua9cfc0o6op9Low8Lfj9KqWmlaVin1VPvchHWHdZ8HFcL8qZfXPnfMbZ+7ceqGpn1+JyqOs7ce8GX7JhQP8CLA3ZkR7ZuQkaVk23H95v2JRccu06p0CC1KBRPsas+XTSpiYWLMujO63/R8wsXGMu/jbKN9r2lSLJDKgZ74ONoS7OrAJ/XLkZKZzbWoBIOUAWDZxh00r1+TpnVrEOjrzWd9OmNubsam3Qd0pv96cB9aN66r6X/7eDK8XzdN//tcfpuwYY0qVChVDG8PN4L8vPm4awdS09K5cee+wcqhVqs5smMBtZr3pUjZenj4htO61ziS46O4dLLg6yKsZE3qtx5M0XK63zKPjbzNvRtnaNZlFD5BJXD1DKRZ51EoszI5+8dmvZbhv9IGWb12PU0aN6RRg/r4+/kxaGB/zC3M2b5D9/cQHhZK7x7dqFOrZoHlAE2bcNwPExny0UBsDDxQcOHeE7SqUoKWlYoT7OHMiDYNNDGEo+cK3CdHpeKLhVvo17gqPs4OWv9ma2nOL/3a0KhMOAFuTpQM8GJ463pcvB/Jo3jDPjwSQmi8VpB86tSpOj/Tpk1j1qxZ7Nmzx2AjyrOzlVy5eYcKJfOniVAoFFQoWYTzV2++0jEysrJQKnOwe6ojrVKpGDNtDh82b0SQr+5X+PQpOzubq9dvULZU/vQcCoWCsqVLcvHK6480PnzsOOEhwYweN4HWHbvRZ9D/2Lx9pz6yXCAHa7CxNOJ2pDpvW2Y2PIgF71eMpRoZQVE/I0xN4EGMWmcaD0fwcDTi9A3d//66spU5XLr7iEoRgXnbFAojKkUEcPbmywPaarWao5dvcTsylrKh+dNelAr2Ye/Zq0QmJGleob5ymztRcVQpqvu1xDdibIypTyCZV88/nTEyr53H1F/39D3PsqpUm/RTR1C/YBSFkaUVapUKVbp+R0Q8ka1UcvnWPSoVz3/NTqFQULF4GGev3X6lY2RkZqHMUWFvbaU5Zu4TFfOnGlMKhQIzExNOX3m1e8Zfla1Ucun2AyoVzf/bKxQKKhUL4eyNuy/dX61Wc/TidW4/iqZseKDONNlKJWv2HsXG0oIw35e/0vdXZWcruXrjtlYwW6FQUL5kMS5cuf5Kx8jMykSZo32vNaTs7GyuX79KqdL5U9QoFApKly7Llcu6R7ddvnyR0mXKam0rU648ly9fyjsmgFnuqNInxzQ1NeXixfzrLSMjgwnjx9K3/0c4Ohnule1/s7x6r/Sz9V4pLl6+8oI9X27ajF+pVKEcZUsbPgiYnZ3N9WvXKF26dN42zXlWmsuXLhW84z9QYux9UpOi8QvPf6Xa3NIWj4BSPLp16pWPk5mhedPHwspe579H3j1P9P1LlKjy/mvnNTs7mxvXr1KqdP6UZQqFgpKly3Llsu7g1pXLF7XSA5QuW4GruelVKhXH//wDL28fRn/1KV0+eI/PhvTj6BHdgy4Ably7wq2b16nf8J3XLosuSXH3SUuOxjdU+7tw9yvJ4zunX+kYKlUO105tJjsrDQ//0nrN3+vKK1eYjnLdPv1Kx1Cpcrj6pFwBpQ2T0VyGvE89fPiIdp270alHH8b+MImoqOg3ze4LJcXeJy3p+b+9h/9fu76z0p+/vj0Dy3D15FYyUhNQq1RcObkZpTITn5CKesv/k/Z55XDt9nnliEDO3np5EDW/fR5HuRC/vGMCmD/1MEOhMMLMxJhTN/QfmM3OyeHSozgqBeQPVlIYGVEp0IOzD2IK3C89S0mT6WtpPG0tg1fu40Z0wgt/x5pT17AxNyXM3UGPuX/qd2QruXLjNuVLarcJK5Qsyvmrr9YmzHhJmzA7W8n6nXuxsbIkJED31IT6EB99n5TEGIKLVsnbZmFli09wSe7deP2HcMrc9qKpqXneNoVCgbGpGXev6m9Qzn+lDZKdnc2169cp80w5ypQuxaXLl9/o2NNmzKRihfKULVP6pWnfRLYyh0v3I6kclt//VyiMqBzqx9k7Bb/2/sv2IzjaWtGqcokC0zwtJT0TIyNNAF0IYXivNSf55MmTiY6OJi0tLe+Vnfj4eKysrLCxsSEqKoqgoCD27NmDr+/zlVxmZiaZmdqBuMysLMyfCkIUJCE5hRyVCqdnRl842dtx58Grjab8edEqXJ0cqFAiP9C+cP02jI0VtH1H9xya+paYlIxKpcLxmWlTHB3suXf/9UcaP3ocyYat23m/ZTM+aNOKK9euM/3XuZiYmNCoXp03zLVu1haa/z77hl9qhhqblwyycrWHrvUVmBhDlhJWHVQRU8BD0tJBRkQnqnkQ++Z5flp8Sho5KjXOdtqNNmc7G25HFvzLktMzaDj8R7Kzc1AojPiiQxOqFMkPgH/ethFjFm+m0fCpmCgUGCmMGPnhu5QL1e/8ywAKazuMjI3JSdaeBkOVnIiZm9dL9zf1C8bUy4+E5b8WnMjEFLumHUg/dRh15vPTTOhDQnJq7vVtq7Xdyc6W2w+jXukY05ZtwMXRjorFNfPyBXi54+HsyPTlG/miRzsszc1YvHUvkXEJxCQY5ol8QnJabjm0Ry842dly+1HBneLktHQaD/mObKUShZGCzzu3pHJx7Xn59p++xPAZS8jIysbF3pYZn/bE0Vb/QejE5OTcMmgHvZwc7Ljz4OErHePnBctxcXQ02KjxZyUlJebeV7VfwXRwcOT+Pd2LGCTEx+Pg4PBc+oR4zRQxPr6+uLq6Mf+3OQz8aDDmFhasX7eamJho4uPyp5GZPWsmEUWKUrmK4edv/LfKq/ee+Xtr6r3XD07s2XeAazdu8NPkCW+Yw1eTlJSk+zxzdHyjchSGtCTN/cjKVvuJtrWtM6lJBQdwnqZWqdi7+ju8gsri4qV7HtHzR1bh5BGMV1BZnf/+KpJzr297h+ev7wf3dD98TIiPyxsR/nT6+HjN6/6JCQlkpKezZuVSPujUnc5d+3DyxDG+/7+RjBk7ieIlSj93zF07tuDj609E0eKvXRZd0pI134XlM9+FpY0Lackv/i5iH11h9bQO5CgzMTWzoknX6Th5GHYdmldV0DlmZfvycsU8vMLqqR1Q5pbrnW6GL5eh7lMR4WH8b8jH+Hp7ExsXz6Klyxgy7Atm/TQVKyv9vZHwtNTcc8r6ub+9M6kv+ds/oVap2LfmO7wCta/vd7pOYcv8Icz8ohIKhQkmZhY06zEdB1f9tXELbJ/bWnPrJe3zBl9MzW+ft2+c1z4P8HDG08mOqev38NUHTbA0M2Ph70eJTEgmOlH/U9fFp2WSo1bj9KSz9KQM1hbcjtXdBvV3smNU08qEuTmQnJHNwqOX6LpgB6t6NcXdziov3f5r9/l83SEyspW42Fgys0M9HK0sdB7zTSU8aRM6PNv/tn/1/vfClbg4OmgF2gEOHT/NyMkzycjMwtnRnimj/oeDnW0BR3lzKYmac9/G/pl6z86FlMTXf3Dl6hmIvbMnO1ZOpkXXrzE1t+Tw9vkkxT0m+Q2O+6z/ShskrxzP3WsduHfv9WMhe/bt5/r1m0yfMvENc/hy8anpmnuU7bP3KCtuRcXp3OfkzfusPXqeFf/r9Eq/IzNbyZRN+2lSJgIbCwmSG5zRv3KiDaFnrxUk/+677/j111+ZPXs2wcGahTWuX79Onz596N27N9WqVaN9+/YMGTKEVatWPbf/2LFjGT1ae67Uz/p2ZVi/7q+Tnb9kwdot7Dx0jJ9Hf4q5mWZk6eUbt1mxeRfzxo/EqLAnk31DarWasJBgenb+EIDQ4CBu37nHxq079BYkL+ZvxDvl8/9Oy/erXvtYsckwe7sKc1OI8DWiWSUFi35/PlBuYqz5vQcv6HcU+ZuwNjdn+Re9SMvM4tiV20xYtRNvFwcqhAUAsHTvn5y79YAf+7XF08mek9fvMnbZNlztbahcxACjyd+AVaXaZD+8W+AinyiMceoyCIyMSFw59+/N3F8wb8NOdhw5xS8jBuZd3yYmxvwwpAff/LqUur2HY5w7Mr1qqSLwzzmdALC2MGfpmEGkZ2Rx7OJ1Ji3dhI+rE+WL5C9gVKFIMEvHDCIhOZW1+44x7OfFLBg5ECe7f9ZiLgtXb2T3wT+Y9s0Xr/QA9J/KxMSEL0aMYuqPE+nQrpVmtE6ZspQrXwF17vlz9I/DnD1zih+nzSzczL6FoqKj+XnWbL7/ZrTWaH+h26U/N7Br2ai8n1v2/eWNj7l75WhiH12j3eAlOv89OyuDyyc2UanR3zvX+qtQqzXtl4qVq9L8vTYABAaHcOXSBbZv2fhckDwzM5P9+3bTtn3nN/7dV09uZO+q/O/i3R6vf/9wcA2k3dC1ZGYkc+PsdnYv+5yW/RYWSqD8yomN7F2ZX66mPV+/XI5ugbT7ZC1ZGclcP7OdXUs/p9WAwinXm6pYPv+NhqDAAIqEh/Jh997sO3iQJg11T9/wV10+voHdy/P/9i36vPn1/fuq0cQ8vkbbQdrX95EtP5KZnkSr/vOwtHHkxtldbJ43mLYfL8bFS/figX8Xa3NzVgzvSVpmFkev3Gbi6l34uDhSIcwfU2NjJvV+n68XbaLG/yZhrDCiUkQg1YsFo1b/MxqFpXxcKeXjqvVz6183surUNQbUyn9bqoK/B8t6vENCeiZrTl/ns7UHWNi18XMB+X+CBWs2s+vQMX4aPSyvff5E2eJFmD9hNAnJKWzYuY+vJs5g1rivnhsQ97rOHN7Ihvlf5/3cccgMvRz3WcYmpnT4aBrr5ozguwGVUSiMCSpahdCSNf5x/Y3/qqjoaGb8Ootx3475R7YJUzOy+HLxVka1a4ijjdVL02fn5PDp/I2o1fBlm/ovTS+E0I/XCpKPGDGC1atX5wXIAUJCQpgwYQKtW7fm5s2bjB8/ntatW+vcf/jw4QwdOlRrW+pV3fP0PsvB1gZjheK5RULiEpNwdtD9mu8TizdsZ+G6rUwd+Qkh/vkj3E9fvkZ8UjLv9fssb1uOSsW0+StYvnkXa3/+/pXy9lfY29miUCiIj0/Q2h6fkFjgopyvwsnRAX9fH61tfr7e7D+sez7n13HtgZrZsfm1/ZPFOa0tIOWp0eTWFkZExr+4VaBSaeYkB3gcr8bL6ckCoNr7RfgaYWoM527rv5XhaGOFscKI2GcW6YxNSsHlBYFHhcIIPzen3Px5cOtRDHO3HaZCWAAZWdlMW7+HSX3aULOEZsqNMB93rtyLZMGuP/QeJFelJqHOycHY1p7sp/Noa09OUsIL9zUyM8eyTFWSt63UnUBhjGOXQRg7uhDz87cGG0UO4GBrnXt9ay/SGZeUjLP9i0eVLNz8O/M27ubn4f0J9dOeMqlIoC9Lxn5GSlo62cocHO1s6DJyEkUDDfM6p4OtVW45tEclvawcCoUCP3cXAML9vbj1KIq5m/doBcktzc3wc3fBz92FkiH+tBg2nnX7/6R7U/2+KWJva5tbBu23E+ISknB+ZtTHs5as28ziNZuYMnoYIQF+L0yrT3Z29rn3Ve1F/BIS4nF00r3Aj4Oj43MLHSUkxOPgmD9lSkhoGFOn/0JqaipKZTb29g58MvgjQkI11/bZM6d5/OgR7du01DrOuO/GULRYccZ+b/jRLP8GefXeM3/v+ITEAheSeplr12+QkJBIv0H5bQqVSsW5CxdZv2kLW9auxNhYv2uM2NnZ6T7P4uNfupBUYQsuURePgPwgS45Ss1BdWnIsNvZuedtTk2Nx84546fF2rxjDzfN7aTdoEbaOutc+uXZ6G9lZGRSt2PKN8m6be30nJjx/fT99vT7NwdHpuUU9ExLi8843Wzt7jI2N8fUL0Erj4+vHpYvPzyd65NA+sjIzqV2v4RuURCOgaB3aDc2f0uPJd5GeHIu1Xf53kZ4Sg7NXkRcey9jEDHsXzQheN5/iRN87z9mDC6j9/pg3zudfFVisDu5+T5UrJ/8ce7pcackxuHi/vFxPRia7+RYn6t55zuxfQJ22hiuXIe5TutjY2ODj7cXDh/pbUySoeF08/J+/vlOTY7G2f/pvH4vrK1zfe1aN4daFvbT5eBG2DvnXd0LMXc4cWESnzzfh7KmpB129I3hw8zhnDiymXjv9fD8Fts+TU3GxK/gNuufa549jmLP9MBXCNOdSUT9PVnzRi+T0DLKVOTjZWvPh+N8o5qf/qescrcwxNjJ6bkHN2NQMnK1f7Q0CU2MF4e5O3IvXbhtbmpng52SLH7aU9Hah+YwNrD1znR5V9fuWC4DDkzZhwrP978TnRpc/a8n6rSxau5kfR32qcxoVSwtzfDzd8fF0p3hYMG0HDGPT7v10btVUL3mPKFMXn+D8e5Iy97pISYzF1uGpei8pBg+/F9+TXsY7oBgDvllLRloyOcpsrO2c+GVMO7wC9PdG5b+5DfK0vHI8d69NeO1YyJM2Yf+Ph+RtU6lUnDt/gfUbN7N53Wq9tgkdrS0196jkZ+9RaTrvUfdiE3gYl8THs/PXRVHlPpwr+8kk1g/vjq+LA/AkQL6JR/HJzOrfRkaRC/E3eq33CR49eoRS+fzKiUqlksePNY09Ly8vkpOTn0sDYG5ujp2dndbnVUcampqaEB7kz/Fz+XNuqVQqjp+7TPGwggOPi9Zv5bdVm5j85WCKBAdo/VuTmlVYOOFr5v8wKu/j4ujAh80bMeXLIboP+IZMTU0JCwnm1Nn8TphKpeLUmbMUDdf9uvKrKF4kgnvPTIVw/8Ej3N1cC9jjr8tSagLbTz4xSZCSribAPX90uZmJZj7yvzo1ipER6Kq7SgcZcfUhpBU8XfZrMzUxpoifJ8eu3MrbplKpOXblNiWDXn1+epVaTVbudaHMUaHMUaF45s0EhcIorzLUq5wcsu/fwizsqYaxkRHmocXIvnPthbtalKqEkYkJacd1zMGaGyA3cfUgdsb/oU7T/6uoTzM1MSEi0Ddv0U3QXBd/nr9KydCAAvebv3E3s9duZ9pnfSkaVHBQ1sbKEkc7G+4+juLSzbvUKvdqc8H9VaYmJhQJ8ObYxfx5GlUqFccuXqdk8KsHjVVqNdnZL17fQa1Sk6XvlWzR3GvDggM48dSimyqVihPnLlAsvOBRfIvXbmL+yvVMGPkpESF/7xsTpqamhISEcfZM/lyrKpWKM6dPER5RVOc+ERFFOXNae27W06dOEhHxfEfJ2toae3sHHj64z/XrV6mUO7XK+23aM+2nX5g6fWbeB6BHr74MGlK4i3j+k+TVe2fO5m3Lq/ciXm/kYZlSpfh1+o/MnDo57xMWGkLd2jWZOXWy3gPkkHuehYZy5vTpvG0qlYrTp08TUeTNOtiGZmZhg6Orf97H2SMEaztX7l45kpcmMz2Fx7fP4BlYpsDjqNVqdq8Yw/WzO2nz0XzsXQp+4Hj+yGqCS9TFyvbN5uo3NTUlOCSMs6fz53ZVqVScO32S8AjdAYjwiKKcPaM9F+yZUycIy02v+S4jeHBfezqmhw/v4+rm/tzxdu3YQoVKVbG3d3ijsoDmu7B38c/7OLqHYGXryv1r+d9FVkYKkXfP/uX5xdUqVV6A9O9mZmGDg6t/3sfpReX6i/OLq9WqvKC7oRjiPqVLeno6jx49xqmAB7iv47m/vUcIVnau3Lv61PWdkcLjOy+/vves0lzfrQfMx95Z+/pWZmkGSxg981q6kcJYr6Oxn7TPj165nbdNpVJz9MptSgb6FLzjM1RqNdk6+q22lhY42VpzJyqOi3ceUbvk6/e/CmJqbEwRTyeO3s5/GKJSqzl2+zElvV1e6Rg5KhXXoxJweckclmq1mmzl67/d+yKmpiaEBwdw4px2m/D42UsUDyu4Tbho3RZ+W7WRSV99QpEQ3WvsPEul1m+71tzSGmd3/7yPm1cINvYu3LyYP4AsIz2F+zfO4husn3VNLKxssbZzIvbxbR7cOk+RsvqbzvXf3AZ5mqmpKaEhIZw+nT8PvKYcZykS8fKHeLqUKVWSX36axoxpP+Z9NG3CWsyY9qPe24SmJsYU8XHn6NX8Kd9UKjVHr92lpP/zD90C3ZxY9VkXlv+vc96ndrFgKoT4sfx/nfFw0AykehIgvxsdzy/93sfhFR+oCSH047VGktepU4c+ffowe/ZsypTRNLJOnTpFv379qFu3LgDnzp0jMPDVKsO/qkPTBnzz01wigv0pFhLIss27yMjMpGkdzWrMo6fNwdXJgf4fakayL1y3lVnL1zN6UC88XV2IjdeMjLS0MMfK0gJ7WxvsbbVHDJuYGOPkaI+/t+6RUfrwfstmfD95GmEhwUSEhbJ6/SYyMjJpVF/zNxw3aSouzk707NIR0CxwceeeZq4xpVJJTGws12/ewtLCAm8vzY24dYtmfPzZFyxesZra1aty+ep1Nm/fyZCBfQ1WDoBjV9RUK2ZEXLKahFSoVUJBcjpcuZ/fWP6gjoKr99Ucv6bZVrukETceqUlK0wTVi/kb4e8GS/dqN7AdbcDPFZbtM0zDD6BTvUp8NX8DRf08KR7gzeLfj5KemU2LKprG0oh563FzsOXjlprvZs62QxT198TXxZEsZQ4HL1xn89FzfNGhCQA2luaUC/Vj8prdmJuZ4OVkz/Frd9l09ByftNbPa7XPStm7GccP+pF97ybZd65jXasJRmbmpB3dB4DDB/3ISYwnefMyrf2sKtch49zx5wPgCmMcuw7GzCeQ2NnjQaFAYat5W0OVlgIGWpz3wya1+fqXxRQN9KNYsB9Ltu0jPTOLZrUqATByxiLcHO0Z2L4ZAPM27uKXVVv4dkBnPF2d8uYZt7Iwxyr3qfuuo6dwsLXBw8WR63cfMXHhGmqVL0Hlkq/XCHulcjSqwahZKyga6EOxIB+W7DhIemY2zWuUB+CrX5fj5mjHR20058zcTXsoGuCNj5szWUolh85cYcvhkwzv/B4A6ZlZzN74O7VKF8HFwY6ElFRW7D5CVHwSDSoaJtjfvnkT/m/qr0QEB1IkNIgVm7aTnpHJu/VqAvDNjzNxdXKkb6d2ACxas4k5S1czamh/PN1ciM19U8bSwgIrS83rv0nJKUTGxBITpxkBc/eBZmEbJwd7nN/gLZonWr7XmsmTxhMSGkZYWDjr168lIzOD+g0aATBpwvc4O7vQpVsPAJq3eI/hwz5h7ZqVlK9QiQP79nL92lUGfjQ475gHD+zD3t4BV1c3bt++xaxffqZS5aqULav5Lh2dnHQu1unq6oaHh/5Hpr2MsbUV1iH5D2OsAn2wKxVBVlwiGfcKXkjo79C6ZQvGT9Z0WsLDQlm7fiMZGRk0qq/pQH4/cQouzs706KqZq1FT72kCmNlKJTGxcVy/eRNLC0u8vTyxsrIkMEB7DlwLc3PsbG2f265P7733HpMmTiQ0NJSw8HDWr1tHZmYmDRpo7u8TJkzA2dmZbt265ZXj7l1NJ0qpVBIbG8uNGzewtLTEy0uzbkR6ejoPH+Y/5I6MjOTGjRvY2tri5uaGIRgZGVGmdmeObp+Bo5s/ds4+HN70Izb2boSUzH+1d+W0LoSUbECZWpr2yO8rRnP5xCaa9/oZMwtrUnPnnTazsMXULP9V//joO9y/8Sfv9X3Behd/QfP32jB10jiCQ8MIDSvCpvWryMjIoF6DxgD8OPE7nJxd6dS1FwBNm7dmxOeDWb9mBeUqVObg/t+5cf0K/T76JO+YLVu3Y+L3YyhavCQlSpbh1Ilj/Hn0MN+Mm6L1ux89fMDF82cZ8fU4vZTlWUZGRpSs0ZkTu2di7xqAnZM3x7ZNxdrOjcDi+d/F+pldCSpenxLVNd/FkS0T8Q+viY2jJ9mZqVw9tYkHN4/RrNfsvH3SkqJJS44hMVZzDsY+uoqZuTU2jp5YWDkYpDxPl6tUzc4c3zkTB5cAbJ28OZpbrqCnyrVuhqZcJWtoynV400T8i9TE1tGTrIxUrp7cxIMbx2jee3ZBv0pv9H2fAvhlzm9UrlgBdzdXYuPiWbB4KQqFgjq1ahisHEZGRpSp1ZljO2bg4OqPvbMPh7f8iLW9G8El8v/2q6d3IbhkA0rX1Pzt96wczeWTm2jeU/v6NrewxcTMAkf3IBxc/Nm9YiQ1WgzDwtqBG2d3cffKIVr0evMpXp7WqW4lvlqwgWL+nhT392LRnmOkZ2bTsopmZPCX8zbg5mDLoJaat+ny2ueujmRl53DgwnU2Hz3Plx0a5x1zx8lLONpY4elkx7UHUYxfuZM6pcKoWtQwD/Y7Voxg5MYjFPV0priXM0uOXSY9O4cWJTW/b8SGw7jZWvJxHU2f+pcD5yjp7YKvow3JmdnM/+Mij5JSea+UJhidnqVk9uHz1Ar1wcXGgoS0TFacuEpUchoNihju7b32zRry7bTZRAQHUDQ0iOWbdmj633WrAzBm6ixcnRzo11EzddXCtZuZvWwdXw/uo7P/nZ6RyfzVG6leoQzODvYkJqewettuYuLiqVulgsHKYWRkRJWGndm7cSZOHv44uviwe81UbB3dKFI2/7r47ftuFClXn8r1NVOYZmakEheZHwxNiLnPozuXsLSxx8FZU4+fP7YNa1sn7J09ibx/lS2Lv6NI2XqEFK+m1zL8V9ogrd9rwQ+TphAaGkJEWBhr1m/Q3GsbaO614ydOxtnZiR5duzxVDu177Y0bN7GwtMDbywsrK6vn24QWFtjZGa5N2Kl2Ob5aso1ivh4U9/dg0b6TpGdl07KSZuDal4u34mZvw6CmNTA3NSHUU/vhmG1u/+jJ9uycHP43byOX7kcyred7qFRqYnLfprG3ssDURP+DP4QQ2l4rSD5nzhw6depEuXLlMDXVzCuWnZ1N/fr1mTNnDqB5jXDiRMO8Yl6/WkXik1KYvXw9sQlJhAb4MvnLwTjlTrcSGROrNYJ3zY69ZCuVfDFRew6yHm2a0bNtC4Pk8VXUqVGNxMRE5i1eRnx8AsFBgYwbPSLvFaOo6BitOdJj4+LpMyh/VOKKtRtYsXYDpYoXY9JYzauNEWEhjP7iM+YsWMzCZSvxdHejf69u1K9d06BlOXJZjakJvFNBgYUZ3IvWBLVznoprO9rA04syW1tA88oKbCwgMxuiEmDpXhW3IrWPXSrIiKQ0uKm/N1Kf06h8MeJT0pixaR8xSamE+7jz80cdcM6dbuVRXKLWd5GemcV3S7cSlZCMuakJAR4u/F+3FjQqnz+a7fserZi6/ne+mLuepLR0PJ3sGdi8Nm1qvv7CZS+ScfoPEm3ssG38PsZ2DmQ/uEPsL+NQpWgapcaOLvDMCB9jV0/MgyKInfHdc8cztnfEsoQmCOj2qfaUQzHTx5B1wzArqDesUpb45BRmrtpCbGISYf4+TBvWF+fcuQkfx8ZrXd+rdx0iW5nDsB9/0zpOr1aN6dNaE4COiU9i8qJ1xCYm4+Jgx7s1KtDzvUYGyf8TjSqVIj45lRlrdxCbmEy4nxfTP+meN93K49gErXKkZ2YxduE6ouISMTczJcDTlW96t6dRJc2DGoWREbcfRbHp4AkSUlKxt7GiWKAvc77oS7CBHubVq16ZhKRkZi9bTVx8IiGBfkwc+Wn+vTZa+167bttuspVKRoyfqnWcbu3eo0f7VgAc/PMk302blfdvoyb+9FyaN1GjVm0SkxJYvHA+8fHxBAUFM3rMd3mvyUdHR2GkyM9zkaLF+N9nw1m0YB4L5v2Gl7c3X371Nf4B+Q954+LimDPrl9xpGpyoW68B7Tp8+MZ5NRT7csWpsnth3s9FJ3wBwL0FazjbY3hhZQuA2jWrk5CYyPxFS4mPjyc4KJDvxozKW8Q6Kjpa6/uJjYuj38f5U6msXLOOlWvWUbJ4MSaO+7+/O/t5atWqRVJiIgsXLSI+Lo6g4GDGfPNN/nkWFaV1bcTFxfHRwIF5P69evZrVq1dTokQJvh8/HoBr167x+bBheWlm/aoJLNevX5+hn+QHdfWtQv1eZGels3PpSDLTk/AOKker/rMxMc2vsBNj7pGemv9q95mDSwFYOVV74alGH46lWOX86/jCkdXYOngQEFFdL3mtXrMuSYmJLFs0j/j4OAKDghk55vu86Vaio6O0RrdGFC3OkE9HsGThXBbNn42ntzefj/hG6/quXLUGfQYMYc3KJcz5ZRpe3r589sVoihbTfvi4e+cWnF1cKZ37cMwQytTpiTIrnb2rRpKVnoRnYDma9pql9V0kxd7V+i7SU+LYvWwYqUnRmFvY4uwVTrNes/ENyw/KnD+yjOM7f8r7ed3PmmBo3XbfEVHhze+7L1O2rqZce1ZqzjHPwHI06z3rmXPs+XLtWpJbLktbnD3Dad57Nn7h+g026WKI+1RMTCzf/TCR5KRk7O3tKV60CFMnfo/DM4tj61v5er1QZqWze7nmb+8VVI73+mpf3wmx2tf32UOa63vVNO3ru8EHYylWqRXGxqa06PMrhzZOZMOvfcnKSsPBxY9GH44jsFgtvea/cfmixKek8vPT7fOB7fPa54/jE1E89V2kZ2Xz3bJtROa2zwPdnfm/ri1oXD7/bbLoxBQmrNpJbHIqrvY2NK1Ugj5NDPewolHRAOLTMpmx/wyxqRmEuzvyU7s6OOeODH+clKpVXyRnZDFmyx/EpmZgZ2FGEQ8n5nVuSLCr5lxRKIy4HZPExrP7SUjPxN7SnGKezszt1JBgVweDlaN+tUokJCYza9k64hISCQ30Y9KIoQX2v9du30O2UsmXE37SOk73ti3o2a4lCoWCOw8esWXvIRKTUrC3tSEiJICfvx1OkN+rv8n7Omq805PszHQ2/DaKjLQk/MLK0vmTXzE1y78u4qLukpacf108vHWBud93yft561JN36hMtZa06jUWgOTEaLYu+57UxFhsHFwoXbUFtVv003v+/yttkNo1a5CYmMiCRUty2+xB/N+Yr/PKERUd/UwsJI5+Hw/O+3nVmrWsWrOWkiWKM2Hc833Zv0PjMhHEp6Tz87ZDxCSlEe7tys99Wuct5vk4Pum5N8tfJCoxhb3nNWuEtZ2wUOvfZg9oS4UQw0wVKoTIZ6R+g/firly5wpUrVwAIDw8nPPz1X0OMO3vgtff9p0iz+PfMA/Yi80/+e17VepGhbroXEfs3id+4pbCzoBe2H3Z5eaJ/OEV2xssT/Quk2XsVdhb0It7ccG/5/F2uRRjmrZK/W4mL6wo7C28s2/i/Mdfjruv/rEWhX1eNoIcvT/QPt/PS3/8WiSEoXmtixn+WFmGXCzsLerH5xn+jfd7NdEFhZ+GNqe7fLuws6EV6uX//YoC7kysXdhb0opz77cLOgl6YqLJfnugfzv3qvsLOgl5YvNO7sLPwr5Pyx4bCzsK/jk3l5oWdBb17rZHkoBlNPnnyZK5d08x3HBoayuDBg+nZs6feMieEEEIIIYQQQgghhBBCGNJrBclHjhzJpEmT+Oijj6hSpQoAR44cYciQIdy9e5cxYwy36rwQQgghhBBCCCGEEEIIoS+vFSSfMWMGs2bNokOHDnnbmjdvTsmSJfnoo48kSC6EEEIIIYQQQgghhBDiX+G1ZhrMzs6mfPnnFy4qV64cSqXyjTMlhBBCCCGEEEIIIYQQQvwdXitI3qlTJ2bMmPHc9l9//ZUPP/zwjTMlhBBCCCGEEEIIIYQQQvwdXnm6laFDh+b9v5GREbNnz2bHjh1UrqxZUfro0aPcvXuXzp076z+XQgghhBBCCCGEEEIIoW9GRoWdA/EP8MpB8lOnTmn9XK5cOQBu3LgBgIuLCy4uLly4cEGP2RNCCCGEEEIIIYQQQgghDOeVg+R79uwxZD6EEEIIIYQQQgghhBBCiL/da81JLoQQQgghhBBCCCGEEEL8F0iQXAghhBBCCCGEEEIIIcRbS4LkQgghhBBCCCGEEEIIId5arzwnuRBCCCGEEEIIIYQQQvyXqI1kDLGQkeRCCCGEEEIIIYQQQggh3mISJBdCCCGEEEIIIYQQQgjx1pIguRBCCCGEEEIIIYQQQoi3lgTJhRBCCCGEEEIIIYQQQry1JEguhBBCCCGEEEIIIYQQ4q1lUtgZEEIIIYQQQgghhBBCiEJhZFTYORD/ADKSXAghhBBCCCGEEEIIIcRbS4LkQgghhBBCCCGEEEIIId5aEiQXQgghhBBCCCGEEEII8daSILkQQgghhBBCCCGEEEKIt5YEyYUQQgghhBBCCCGEEEK8tUwKOwNCCCGEEEIIIYQQQghRKIxkDLGQkeRCCCGEEEIIIYQQQggh3mL/mJHk2aZWhZ2FN2aiyi7sLOiFtdV/49mJUXJiYWfhjan7fVHYWdALdfLDws7CGzOOfVTYWdALpWNAYWdBL6xykgo7C2+sxMV1hZ0FvThXtGVhZ+GN1ZzUvLCzoBepfuMLOwt6EfDwYGFn4Y0d2luxsLOgF0ZGRoWdhTdWJ9yxsLOgF4cO/PvbUgDdaqsKOwtvTBVeurCzIHLFJv43+q2eyhOFnQW9UMRHFXYW3pjaxq6wsyCEKET/jVpFCCGEEEIIIYQQQgghhHgNEiQXQgghhBBCCCGEEEII8daSILkQQgghhBBCCCGEEEKIt9Y/Zk5yIYQQQgghhBBCCCGE+Dup/wPrsIg3JyPJhRBCCCGEEEIIIYQQQry1JEguhBBCCCGEEEIIIYQQ4q0lQXIhhBBCCCGEEEIIIYQQby0JkgshhBBCCCGEEEIIIYR4a0mQXAghhBBCCCGEEEIIIcRby6SwMyCEEEIIIYQQQgghhBCFwkjGEAsZSS6EEEIIIYQQQgghhBDiLSZBciGEEEIIIYQQQgghhBBvLQmSCyGEEEIIIYQQQgghhHhrSZBcCCGEEEIIIYQQQgghxFtLguRCCCGEEEIIIYQQQggh3lomhZ0BIYQQQgghhBBCCCGEKAxqjAo7C+IfQEaSCyGEEEIIIYQQQgghhHhrSZBcCCGEEEIIIYQQQgghxFtLguRCCCGEEEIIIYQQQggh3loSJBdCCCGEEEIIIYQQQgjx1pIguRBCCCGEEEIIIYQQQoi3lklhZ0AIIYQQQgghhBBCCCEKg9pIxhALGUkuhBBCCCGEEEIIIYQQ4i0mQXIhhBBCCCGEEEIIIYQQb63/zHQra7bsYNnaTcQlJBIc4MegXl0oGhaiM+3GHb+zfc8Bbt69B0B4cCC9OrYrML0hrd28nWXrNhIXn5vv3t0oUkA+bt29x9wlK7l64yaPo2IY2KMzbZq/o5UmLS2dOUtWcOCPP4lPTCQ0MICPenWlSGiwQcuhVqv5c8c0Lh1dSWZ6Eh4BZanZahQOrgEF7nP+8FIuHFlKcvwDAJzcQyjXYAD+ETXz0lz8YznXTm0i+sFFsjNT6T7mGOaWdgYpw7LDZ5m/7yQxyWmEebrweYualPDzeOl+W09f5fMl26lTLJApXZrmbf9q+U42nLislbZqmB8zerbQe96fWLd5K8vXbCAuPoHgQH8+6tODImGhOtPeunOPeYuXcfXGTSKjounfsyvvt2iqlaZDj35ERkU/t2+LdxoxqF8vg5QBYMWO/Sza9DuxiUmE+nnzaZf3KRbirzPt2t8Ps+XAMW7cewRARKAvA9o100ofm5jEtKUbOHr2Mslp6ZSJCObTLu/j5+lmsDIALDt4hvl7j2vOKS8XPn+vzqudU6eu8PmirdQpFsSU7s11pvlm1W5WHTnHpy1q0rFmWX1nPU/+PSqBkAB/Pn7JPeq3JSu4cuMWkVHRDOjRmTbN39VKk5OjYt6ylezce4C4hARcnJxoXLcWndq2wsjIyGDlWLd5KyvWrM+9NgL4qE8PIgq4Nm7fufvMtdGN1s9cGwDRsbHMmreIYydOkpmZhbenB58OGkB4qGHqkvWbtrByzdq8Mgzo04uI8LACyzB/8RKuXb9BZFQ0/Xp1p1UL3ecSwLKVq5kzfyHvNW9K/949DZL/v8qpenmCPumBfdniWHi5cbx1fyI37C7sbOUxLVEVs7K1MLKyRRXziIz961BF3tOZ1iSiPJYN2mltUyuzSZnxRd7PRpY2mFd7F2PfUIzMLcl5eIuMfetQJ8YYtBxqtZrjO6Zx+Vh+/V3jvVHYv6D+vnBkKRefqr8d3UMoV38Afrn1d0ZaAsd3TOP+1UOkJDzC0saJgGL1KN9wEOaWtnovw/I9R5m//SCxiSmE+XowrMO7FA/00Zl298kLzNmyn3tRcShzcvBzc6ZTw2o0rVJaK93NR1H8uHoHJ6/eRpmjIsjTjQn92uPp7KD3/D+tbSMH6lW2wdpSweVbmcxeHcvjGOUL93G0M6ZjU0dKR1hibmbE4xglPy+L4eb9LAAqlrCiQRVbgnzMsLU25tOJD7nzMMtgZWjTyJ56lTRluHIrk9lr4l6pDB++66BVhhnLY/PLUNyS+k+V4bNJD7nzMNtgZdi6aS3rVy8jIT6OgMBgevQdRGh4kQLTHz6wh6WL5hId+RhPL286dutLuQqV8/592qSx7N29TWuf0mUr8tU3PxisDE+0rmdLnQpWWFkouHoni982JBAZm1Ng+lZ1bWlVT/s6fRidzWdT8tuD9jYKOjS2o3iIORbmmu9r/d4U/ryQoff8L9t3gvm7jxKTlEKYtxuft2lIiQAvnWl3nb7CnO2HuRcTT3aOCn9XRzrVq0iziiXy0sQmpTJl/R6OXLpFcnoGZUN8+bxNQ/zdnPSe9ydW7DrEgq37iE1MJtTXk886tqR4sJ/OtL8fP8fcjb9zLyoGpTIHPw8XOjauxbvVygGQrcxhxuptHDx7mQdRsdhYWVKpaAgftX0HV0d7g5UBYPXW3Sxev5W4hERCAvwY2uNDioYG6Uy7fuc+tu07xM27mnoiPCiAvh+21ko/e/k6dh08SlRsHKYmJoQHBdDng1YUCzN8v/WPrVM5d0RT73kFlqVum69xdAsocJ9jO3/hxpkdxEXdxMTUAs/AMlRv9j+c3PPLk5oUzYH147l75TBZmak4ugVSsUFfQks30nsZlv/+xzP1XlOKBxVQ7524wJwt+/LrPfcn9V6ZvDQj565m4+FTWvtVLRbKT0O66D3vT1t26Ix2/7tlrVfvfy/epukrdX2+jQ7wzerfWfXHeT5tXoOONcroTKMPy/YeZ/7OI8QmpRDm486wdo0oEeCtM+3uU5eZs+0Qd6PjUOao8HNzonP9SjStVDIvTVpGFj+u+509Z66QmJqOt7MDHepUoE3NcgYrgxAi32sFyRcsWPDCf+/cufNrZeZ17T54hJ/mLuKTft0pGhbCyg1b+d/ocSz+aSKODs83Fk6dv0i9GlUZFBGKmZkpS9Zs5H9fj2P+tPG4OhuugfSs3w8c5qe5Cxnar6cm3xu38L+vx7Lo50k6852RmYWXuxu1q1Zm+lzd38H46b9w6+59vhwyAGcnR3buPcAnI79l/vSJBi3b6b2zOXdwIXXbjcPOyYdj239k0+yetP/fZkxMzXXuY+PgTuV3PsHexR9Qc+X4OrbNG0CbwWtw8tAEr7KzM/ANr4FveA2Obp1ksPxvO32VCRsPMKKVJoi5+MBp+s3ZwPpPO+JsY1Xgfg/ikpi0+SBlA3U31quF+zGmbf28n82MjfWe9yf2HDjEjNnzGTygN0XCQlm9YTPDRn7L/JlTdZ5PmZmZeHq4U6t6FX6ePU/nMWdMGodKpcr7+dade3z61RhqVa9iqGKw48hJpixay+fd21E8xJ+lW/fx0bifWTVxBE72zwdXTly8RsOq5SgZGoi5qSnzN+5i4LifWT5+OG5ODqjVaj6dOBsTE2MmfNILa0sLlmzZw4CxP7Fi/BdYWug+P9/UtlNXmLBhPyPer5t7Tp2i369rWT+sC862LzqnEpm08QBlg3Q3rgB2n7vOuTuPcLWzNkTW8/x+4DA/z13A0H49KRIWyqqNW/j06+9Y+PPkgs8pd3dqVa3MTwXco5auWc/6rTsZPrg/Ab4+XLl+k++nzsDayorWzZoYpBx7Dhxi5ux5DB7Qh4iwUNZs2MSwkd8wb+a0Au+1nh7u1KxelRmzf9N5zOSUFAZ99iWlSxRn3NcjsLez48HDR9ja2BikDHv3H+SX2XP5eEA/ioSHsWb9BoaPHM3cX37C0cHhufSa69uDmtWqMXP23Bce+8rVa2zetp2ggACD5P11GVtbkXT2Cvfmrab8qp8KOztaTEJLYV6jGRl7VqN6fBfT0jWwat6T1EXjUaen6txHnZlO6qKnAmJqtda/W77bFbUqh/TN81BnZWJWpiZWLXuTuvgHUBouGHhm72zOH1pInXbjsHXy4c/tP7J5Tk/aflJw/W1t706lJpr6W42aqyfWsX3+AFoP0tTfaUlRpCVFUbnpZzi6h5AS/5ADa0aRmhRFw05T9Zr/7X+eY+KKrXzZsTnFA31YsusI/afMZ903g3Cye/56tLe2ouc7tQjwdMHU2IQDZ6/w9by1ONlaU7W4pu1xLyqO7t/PpmX1cvRrXhdrCwtuPIzE3NSwY0ta1LGjSQ07floaTVScknaNHfmytztDxz8kW6nWuY+1pYJvPvLkwvV0vpsVSVKqCk8XE1LT8+tuczMjLt/K4MiZVPq2dTFoGZrXsaNJdTt+XhZDVJySto0c+KKXG5/88JDsAuLk1pYKxgz04OKNDMbOjiqgDAqu3M7kjzNp9GnrbNAyHNr/O/Nm/USfgUMJDS/KpnUr+ear/zHt10XYOzg+l/7yxfNMHv8NH3btRfkKVTiwbzfjv/2SH36chV9AfgCtTLmKDBj8ed7PpqZmBi0HQNMaNjSsYs0vqxOIjlPyfgNbhnV1ZtiPUQV+HwD3IrMZNzc27+cclfa/933fAStLBZMWxZGcqqJqKUs+au/IVz9Hc+fRix+I/BXbTlxkwtrdjGjXmBIBXize8yf9flrO+pG9cbZ9vg1kb2VBz8ZVCXR3xtTYmP3nrzNq0WacbKypVjQItVrN4F9XYWJszJQ+rbGxMGfB78foM20pa0b0wspc/9/JjqOnmbR0I190aU3xYD+WbD/AwAmzWfP9ZzrvUXbWVnRvVpdALzdMjI05cOYSo2evwNHOhqolwsnIyuLynQf0bF6fMD9PklPT+WHxeoZMmcei0YP0nv8ndh06ytR5y/i0T2eKhQaxfNNOhnwzkaXTxuJk//wAplMXLlO/emVKhIdgZmrKonVbGDxmAoun/B+uzprryM/LnU96dsTL3ZXMrGyWb9rO4G8msmL6OBx1HFNfju+exan9C2n0oabfemTLj6yd2YPOw7cUWO89uH6MkjU+xMOvBCpVDoc2TWLtjB50Hr4ZU3NNu377omFkpifRvNcMLK0duXxiI1vmDabD/1bj5lNUb/nffuypei/IlyW7DtN/yjzWfTu4gHrPkp7v1ibAwwVTE2NNvffbWpxsbfLqPYCqxUMZ3a1V3s9mJoat8/L6363rUsLPXdP/nr2e9Z91enn/e9OBAvvfALvP3eDcnccG7yttP36Biat38mWHJpQI9Gbx78foP3Up67/uh5OO321nbUHPJtUIcHfB1ETB/nPXGbVgo6YNUlTzcGjC6p38eeU2/9etBV7ODhy5eJOxy7biam9L7VK6B8cIIfTntaZbGTRokNanf//+dO3ald69ezN48GA9Z/HlVqzfQtOGdXinXm0CfH34pF8PLMzN2bx7n870I4cO5L13GhAaFIC/jzefDeiNSq3mxNnzf3O+N9O0YV3eqV+bAD8fPunXEwtzM7bs2qszfZHQYPp160i9mlUx09FRy8zMYv+RY/Tt+gGlihXBx9ODbh3a4O3pwfqtOw1WDrVazdkDCyhXry+Bxevh7BVO3fbfk5YUxa0LuwrcL6BoXfyL1MLBNQAH10AqNRmCqZkVkXfP5KUpVaMLZev2xt2/lMHyD7DwwGlaVSpGywpFCXZ3YkSrOliYmrDuz4sF7pOjUvHF0h30a1AJHyfdDTkzE2NcbK3zPnZWFoYqAivXbeSdRvVpUr8uAX6+DOnfG3Nzc7bu/F1n+oiwEPp270zdmtUxNTXVmcbB3h4nR8e8z5E/T+Dl6UGp4sUMVo4lW/bQsk5VmteuTJCPJ8N7tMXC3IwN+/7Qmf7bgV1o06AG4QE+BHi7M6J3B9RqFX+evwrA3cfRnLt+m2Hd21Is2J8AL3c+796WzKxsth85YbByLNx/klaVi9OyYjGCPZwZ0bqe5pw6dqHAfXJUKr5YvI1+jSoXeE5FJqYwbu1evvuwCabGhp0xa+X6zbzbsB5N6tchwM+HoXn3qD0600eEhuTeo6oVeE6dv3yV6pXKU6V8WTzd3ahdrTIVypTk0rXrBivHqtxro3HutTG4fx/Mzc3ZtlP3qOSIsBD6dO/ywmtj2aq1uLq48NnggUSEheLp4U75sqXx8nz56JfXsXrdepo0akjjBvXw9/Nl0IB+mJubs72AMoSHhdK7e1fq1KqB6QsCe+np6YydMJkhHw3AxsawHYm/Knr7fq6OmkLk+oLrkcJiVrom2ReOorx0HFV8FJl71qBWZmNatOIL91OnJed/0lPyths5uGDs6U/m3jWoou6jTogmc88aMDHFNMxwo5/UajXnDi6gbL2+BBSrh7NnOHXaaerv2y+pv/2K1MI+t/6u2FhTf0fl1t9OHmE07DyNgKJ1sXf2wzukMhUaD+HOxT2ocvQXQANYtPMwrWqUp0W1sgR7ufFlx2ZYmJmy7tBJnenLhwdSt2xRgjzd8HVz4oP6VQj1cefU9Tt5aaav20n1EmEMfr8REX5e+Lo5Ubt0EZ3BB316p6Yda3YlcPxCOncfZTN9aTSOdiZUKF5wsKBFXXtiEzSjrm/cyyI6TsnZqxlExub/nQ+cSGX1zkTOXdX/KN/nylDDljW7EvPK8NOymJeWoXkdu5eX4WRuGa6lG7wMG9euoH7jptRt8A6+fgH0GfgJ5hYW7N6xRWf6zRtWUaZcRVq27oCPXwAdOvUgMDiMrZvWaqUzMTXD0ck572Njq/+3Kp7VuJo16/cmc/JSBvcilcxcmYCDrTHliry4PapSQWKKKu+TkqYdJQ/1M2PHkVRu3s8mOj6H9XtTSM1QE+it3yDzwt+P0apqKVpWKUmwpwsj2jfGwsyEdUfO6kxfIcyfeqXCCfJwwdfVkQ/rVCDUy41TNzVv+dyJiuPs7Yd82b4Rxf29CHB3ZkS7xmRkK9l2ouA2/5tYtG0/79WqRPOaFQjydueLrq2wMDNl/f5jOtOXLxJM3fIlCPRyx9fdhQ8a1iDE15PTV28BYGtlyc+f9aZhpVIEeLpRIsSfYZ3e49Lt+zyKjTdIGQCWbdxB8/o1aVq3BoG+3nzWpzPm5mZs2n1AZ/qvB/ehdeO6hAX6EeDjyfB+3VCp1Rw/l/93blijChVKFcPbw40gP28+7tqB1LR0bty5b7ByqNVqTu1bQKWG/QguUR9X7wgadRxPamIUN84VXO+9128OxSq1wtkzFFfvCBp+OI7k+IdE3stv1z+6dYrSNTvi4V8SexdfKjXqj7mlHVH3Cm77v45FOw9p6r3q5XLrveaaeu+g7n5N+YggTb3n5YavmzMf1K/6XL0HmqC4i71t3sfO2lKv+X7Wwv2naFWpeG7/25kRrerm9pVe0v9esp1+DSvj46T7zYnIxBTGrd/Ldx80MnhfaeHuo7SqVoaWVUsT7OnKiA7vaL6LI6d1pq8QFkDd0hEEebrg6+rEh3UrEurtzqnr+W8inrlxn2aVS1IhLABvZwfer1GWMG93zt9+YNCyCCE0XuuuER8fr/VJSUnhypUrVK9enaVLl+o7jy+Una3k6o1blC9ZPG+bQqGgXKniXLhy7ZWOkZmViTJHiZ2BRgDq8iTf5Urlv/6nyXcJLly5+lrHzMnJIUelwuyZoI65mRnnLl0uYK83lxx3n7TkaHxCq+b/Tktb3PxKEnnn9CsdQ6XK4drpzWRnpeHuX9owGS1AtjKHSw+iqBzim7dNoTCicqgvZ+88LnC/X3Ydw9HGklYVCw4YH7/xgNqjZ9N8/EK+XbOHhFTDdO6ys7O5ev0m5Urlv6qlUCgoV7oEF69c0dvv2LVnP03q1zHYtBjZSiWXb92jYvHwvG0KhYKKxcM5d+3WKx0jIzMLpVKFXe4IhOzcoVJPjwBUKBSYmphw+spNPeY+X7Yyh0v3o6gc+sw5FebH2TuPCtzvlx1HcbSxolWl4jr/XaVS8+WSbXStXY4QD8OOpMvOVnLlxk2d96iLr3hv1aV4RBgnzp7n3oOHAFy/dZtzF69QqWzpN82yTppr4wZln7k2ypYuycXXvNcCHD52nPCQYEaPm0Drjt3oM+h/bN5umIeReWUo/WwZSnHx8ptd39Nm/EqlCuUoW9qwDyL/UxTGKNy8ybn39HWgJufeNRQeuqeFAsDUDOsuX2Dd9Uss3u2Kwsk975+MjDX3J7Xy6QCyGnKUGHsF6jf/T3lSf3s/W3/7/rX6+/or1N9Z6cmYWdigMNbfyLRspZJLdx5SqUj+aF2FQkGlIsGcvaF76punqdVqjl66we3HMZQLCwBApVJx8OxV/Nyd6T95PnWHjqPTd7+w55RhAmhPuDmZ4GhnwtmnAtnpGWqu380kzL/gN57KF7Xk5r1MhnR2ZdbXvnw/1JN6lf6+9uzTnpTh6UD2kzKEvqgMxSy5eT+LIZ1c+PVrH8YN8aRuIZUhOzubG9evUrJ0/mvtCoWCkqXLcfWy7kDX1csXtNIDlC5bgSvPpL9w7jTdPmjBR7078stPE0lOStR/AZ7i6miMg60x529k5m1Lz1Rz434WoX4vDma7OxszbZg7kz5xo18bB5zttd+EvHY3i8olLLG2NMLICCqXsMDUBC7dzCzgiH9dtjKHS/ceUzk8/x6oUBhROTyAs7deHixSq9UcvXKb21FxlMud2iRbqZlmxtzk6TahEWYmxpy6of/AbLZSyeXbD6hYLH+0rkKhoGKxUM49E6DURa1Wc+zCNe48iqJsuO5pTQBS0tMxMjLC1sowQU1Nm/A25Uvm93kUCgUVShbl/NVXG+SQkZWJMicHuwIeyGdnK1m/cy82VpaEBPjqTKMPSbH3SUuKxjdMu97z8C/Fo1unXrCntqz0ZAAsrPIDtZ6BZbh6cisZqQmoVSqunNyMUpmJT8iLH6D/FXn1XtH8KWny6r2bf7HeCw3Q+rfjV25Rd8hYWn45hf9buIGElDS95ftZef3vZ/tKob4v7ivtfHH/W6VS8+XSHXSt9Tf0lZQ5XLr7iEoR2veoShEBnL35iveoy7e4HRlL2dD86ZdKBfuw9+xVIhOSNFPaXrnNnag4qhQt+B4g9MRIIZ+/+vkP0ltPJTQ0lHHjxtGxY0cuXzZcQPZZicnJ5KhUz70y72Rvz937D1/pGDPnL8XF0ZFypXQHpgwhMSlJZ74dHey5e//1nhJaWVlSLDyUBSvW4O/jjaODA7sPHOLClat4exhmdCNAWrJmjkJLW+2KyMrGhbTkF8+lGvvoCmumdyBHmYmpmRWNu0zHyf3vnRs+PjWdHJX6uSkwnG2suBWle0TGyVsPWfvnRVYM7lDgcauG+1OveDDeTnbci01k2rYj9J+7gYUD2mCs0O8NJTEpGZVKhaPjs+eTw2ufT8869MefpKSm0qheHb0cT5eE5FRyVKrnplVxsrfl9sPIVzrGtKUbcHG0ywu0B3i54+HiyE/LNjK8R3ssLcxYsmUPUXEJxMYn6b0M8LJzKk7nPidvPmDtsQusGPphgcf9bc+fGCsUfFCjtD6zq1NiUhIqlQonnfeoV7u36vJB6xakpqXTecBQFAoFKpWKnh3b0aB2jTfNsk7514aD1nZHB3vuvcG18ehxJBu2buf9ls34oE0rrly7zvRf52JiYqL3aySvDM9Mq6Ipw+t36vfsO8C1Gzf4afKEN8zh28XI0hojhTGqtBSt7eq0FIwdda9zoEqIJmP3SlQxjzAys8CsbC2s3h9A6uKJqFMTUcVHoUqKx7xqEzL2rIbsLMxK10Bh64DKynCjTfPqbxvt+tvS9tXq73U/5dffjTpPx7GA+js9NZ6Tu2dQpFJb/WQ8V3xKmqbOeGaEt7OdDbcfF5z/5LQMGn32A9lKJQojBcM/bErlopq8xyWnkpaZxW9bDzCgZX0GtW7IoQvX+GTGMn79pBvlww3z0MLBThOETEzWnis6MTkn7990cXM2pUFVUzbvS2Tt7kSCfc3o9p4Tyhw1+47rnvrHUBxsn5RBe9RxYkpO3r/p4uZkSoMqpmzen8Ta3ZEE+5rTraUjyhw1+//mMiQnJaJS5eDwzLQq9g6OPLh3V+c+CfFxz03D4uDgSEJ8fn1fplxFKletiZuHB48fPWTJ/Fl8O+ozvpvwM8YGmorPwVbT1kxK0f4+klJU2NsU/Duv38/i19XZPIpW4mBrzHt1bfmqlzOfT40mI0sz7c+0ZfEMbO/ILyM8UeaoycpWM2VxPJFxBc91/ldprm8dbSk7a25FxhawFySnZ9Dgy+lkK3NQKIz4ol0jqhTRXLcBHs54OtoxdcNevurQGEszMxbuOUZkQjLRiSkFHvN1PWnXOts/c4+yt+H2o6iCy5CWTpPB35KlVGKsUPB55/eoXFz3NAuZWdlMXb6FRpVLY2NpmDdWE3L7204O2m85Otnbc+dBwQOKnvbzwpW4ODpoBdoBDh0/zcjJM8nIzMLZ0Z4po/6Hg53h6r3U3HrP+tl+q60zqS+p955Qq1TsW/MdXoFlcfHK/17e6TqFLfOHMPOLSigUJpiYWdCsx3QcXF/wAP0veqN679Px+fVex2ZULpZfZ1ctHkrdskXxdnHkfnQc09bsZOCU+cz/oo/e+63wVF/J5q/2vy+wYsgHBR73t73HMVYY8UF1ww/+yLtHPTOtirOdDbdfco9qOPxHsrNz71EdmlDlqYf9n7dtxJjFm2k0fComCgVGCiNGfvgu5UL1dx4JIQqm14mmTExMePjw5cGTzMxMMjO1RxpkZmVhbmb4ufmetWj1BnYfPMLUb78qlN+vb18OGcD3036hdff+GCsUhAYHUq9GNa7c0N+I2asnN7Jv9ai8n9/tPvO1j+XgGkjbIWvJykjmxtnt/L78c1r0W/i3B8r/itSMLL5ctpNRrevi+ILX0JqUzm80hXq6EObpwrvfL+D4jQdUCjXcCAlD2bJzNxXLlcHlb5y3/6+at2EnO4+cZOZXH2FupnmjwsTEmPGDe/DNrKXU6/05xgoFFYqHUbVUUdTonuP175aakcWXS7czqk09HG10n1MX70Wy+MBplg35wKALXBranoNH2LXvICOGfkSgny/Xb91m+pz5OOcu4PlvoVarCQsJpmdnzUON0OAgbt+5x8atOwz6IElfoqKj+XnWbL7/ZjRm/4G6759O9fgOqsf5owbTH9/G+sNPMS1emayj20GlIn3LfCzqtcW29xjUqhxy7l1HefsS6PF6v3ZyI/vX5NffTbq9Wf39/mBN/X3z3Hb2rPic5n0XPhcoz8pIYdvcPji6B1OuwcDX/n36ZG1hxrKR/UnPyOLo5ZtMXLENH1cnyocHosqdK7526Qg6NtCMNAz38+TMjbus2ven3oLk1cta0/v9/CDN2Nmv9iD4WQojuHE/k6VbEwC4/SALPw8zGlSxNXiQvHoZa3q9n98mGDen4KDfizwpw7InZXiYja+HKQ0q2/7tQXJDqV6rXt7/+wcE4x8QzICeHbhw7vRzo9BfV9VSlnRvkf9ge8IC3Q/lX+bs1fw+2r1IJTfuZzHlU3cqlbBk3wnNyNL369tiZaFg7JwYktNUlCtqwUftHflmVgz3I/U7pdJfZW1uzorh3UnLzOboldtMXLMbH2cHKoT5Y2pszKRerfh68RZqfDYFY4URlcIDqF406B/SItSwtjBn6TdDSMvI5NjF60xauhFvV2fKF9Fe0DJbmcPnPy1CDQzv0kr3wf4BFqzZzK5Dx/hp9LC89vkTZYsXYf6E0SQkp7Bh5z6+mjiDWeO+0jnP+eu4fHwDu5fn13st+vzyxsf8fdVoYh5fo+2gJVrbj2z5kcz0JFr1n4eljSM3zu5i87zBtP14MS5e4QUc7e+hqfcGkJ6ZxdFLN5i4fCs+Lo6Uj9AEZxtXzH9bMdTHg1AfD5oNn8TxK7eoVMSwC6m+Ck1faQej3q9XYP/74v0oFh84w7LB7f/RfSVrc3OWf9GLtMwsjl25zYRVO/F2caBC7httS/f+yblbD/ixX1s8new5ef0uY5dtw9XehspPBdOFEIbxWkHyDRs2aP2sVqt59OgR06dPp1q1ai/df+zYsYwePVpr2yf9e/HpwD5/OS/2trYYKxTEJ2i/shiXmIjTMyMHn7V03SaWrN7ApDFfEByge4VxQ7G3s9OZ7/iEl+f7Rbw9PZj63SjSMzJIS0vH2cmRr8dPwcvd/eU7v6KAonVw98uvSHOUWQCkJ8dibZc/ii4tJQYXryIvPJaxiVnuwp3g6lOcqHvnOXdgAbXeH6O3/L6Mo7UlxgojYpO1XymLTUnDRccCi/fiEnkYn8TH8zblbXvSqS77+XTWf9oJX+fn50jzcbbH0dqCu7GJeg+S29vZolAoiI9/9nxKeKPz6YnHUdGcPHOO0cP/98bHehEHW2uMFQriEpO1tsclJuPs8OJRJQs37Wb+hl389MUAQv20F70sEuTHkrHDSElLJ1upxNHOlq5fTaRIkGEeVrz4nHr+NdN7sQk8jEvi47n599a8c+rTH1k/rAsnbz0gLiWNxt/OyUuTo1IzccMBFu8/xdYRPfRaBns7OxQKBXF6vkfNnLeYD1q3oF5NTV0RFODH4+hoFq9aZ5Agef61kaC1/U3L4eTogL+vj9Y2P19v9h/WPXf+m8grQ0KC1vb4hEQcHZ9fRO5VXLt+g4SERPoNGpq3TaVSce7CRdZv2sKWtSsNNrrx306dnopalYPCyoanx2caWdmgSksucD8tKhU50Q9QOOQHSVXRD0hbNhnMLDBSGKPOSMWqzUfkROlvCgD/onV4X1f9naJdf6cnx+D8F+vv6HvnOXdwATVb59ffWRkpbJnTE1Nzaxp2no6xse45/l+Xo42Vps5I0h4BGpuUgvML5g9XKBT4uWn+9uF+ntx6FM3cLfspHx6Io40VJsYKgjy13woI8nDl1HXdI4lfx/ELaVy7kx+MNDXRdOjtbY1JeGo0ub2tMbcfZBV4nPikHO5Hai/sej8ym0olC54DXF+OX0zj2iRdZVBol8HGmNsPX1CG5BwePFOGB1F/TxmeZWtnj0JhTEKC9kjGxIR4HBx1DxJwcHQi8Zn0CS9ID+Dh6YWdnT2PHz3QW5D85KUMbtzL/zub5H4fdjYKEp4a3W9no+Duo1dfDDgtQ83jGCXuzpo6wc3JmIZVbBj2YxQPojQB8buPUwj3N6dBZWt+W6+faWQ017eOtlRSKi4vvL6N8HPV/O0jfNy59TiWOTuOUCFMc78q6ufJiuE9SE7PIFupwsnWig9/mEcxP0+95PtpT9q1sc+MUo9NTMFFx2L0+WVQ4OuuWWQ33N+bWw+j+G3T71pBck2AfCGPYuOZ+Xkfg40iB3DI7W/HJWi/gRmXmPjc6PJnLVm/lUVrN/PjqE91TqNiaWGOj6c7Pp7uFA8Lpu2AYWzavZ/OrZrqJe9Bxevi8dTaVk/qvdTkWKztn+q3Jsfi6h3x0uPtWTWGWxf20ubjRdg65L+pnRBzlzMHFtHp8004e2qm13H1juDBzeOcObCYeu3007d9Yb1n/5J6z/2Zem/r/rwg+bN8XJ1wsLHiXlSsQYLkeX2llFfsf8fm9r9/25i3La+vNGwa6z/tpOkrpabR+Lvf8tLkqNRM3HiQxQdOs/WLbvotw5N7VJL2w9zYpJSX36Pccu9Rvh7cehTD3G2HqRAWQEZWNtPW72FSnzbULKE5j8J83LlyL5IFu/6QILkQf4PXCpK3bNlS62cjIyNcXV2pW7cuEydOfOn+w4cPZ+jQoVrbEm693oIWpqYmhAUHcuLsBWpUrgBoOvonz17gvXcaFrjfkjUbWbhqHRNGfU5EyN9/s8nP9/ln8n2e995p9MbHt7SwwNLCguSUFP48fZY+XQp+LemvMrOwwcwi/8avVquxsnXl/vUjuHhrOtVZGSlE3T1LsSoFT0eii1qtymu8/F1MTYwp4u3G0ev3qVtc0whQqdQcvX6P9lVLPpc+0NWRVUO1/54/bT9CamY2nzWviUcBDZTIhBQS0jJw1VHxv3EZTE0JCwni5NlzVK9SMbcMKk6eOUfLd5u88fG37fodB3s7KlfQT0euIKYmJkQE+vLnhavUrqD526tUKv68cIU2DWsWuN+CjbuYu24H0z7vR9Gggh942eTO1Xj3URSXbt6lb5t39FuAXKYmxhTxcePotXvULaEZValSqTl67R7tqz3/+l+gmxOr/tdRa9tPWw9rzqmWtfBwsKVpuSJUCtUuW79f19K0XBFaViyq/zKYmhAerDmnnr5HnXjDe1RmViYKhfboDmOFArXaMGO4NNdGMKfOnqN6lUqAphynzpx9o2ujeJGIvHnVn7j/4BHubq5vlF9d8spw5izVqlQG8svQounrncNlSpXi1+k/am2b8OM0fH28ade6lQTIX0SVgyrqAcY+IShvPmm7GGHsG0L22cOvdgwjIxQunuTc1jE9XVYGasDI3gWFmw+Zf2zXV84LrL8fXDuS91A7KyOFqHtnKfqG9XdWRgqbZ/fA2MSMRl1/xsS04DmpX5epiQlF/L04eukmdcpo7oMqlYpjl27Srm6lv5B3NVm588GbmphQNMCbO5Har63fiYzFU8cD8NeVkakmI1N7xG18kpISoRbcyQ0oW5obEeJnzo7DBT98uXI7Ay9X7YcPXq4mRMcbfjTvi8ugCcI+KcPOIy8ow61MPJ8pg6er6d9ShmeZmpoSHBLGudMnqFRFMw2YSqXi7OmTNGn6ns59wiKKcfbMCZq2bJO37eyp44RHFLxmTWxMFMnJSTg66m/O3IwsNRnPTHeSkJxDsSBz7j7S/C0tzY0I9jFj99FXH6FvbmaEm5MJCac1c82bmWrq8GerbZVarc8XXzRtKV8Pjl65Td1SmrczVSo1R6/eoX3NV2+PqtTqvLnIn2abG1S+ExXHxbuPGdC04Hbm6zI1MSEiwJs/L16nTjnNtJ4qlYo/L16nbf2qL9k7n1qtJvupNSueBMjvRcbwy+d9cTDwwtuaNmEAJ85dpFalsoCmHMfPXqJ1k3oF7rdo3Rbmr97E5K8+oUjIq72Fo1KrycrW37Wvs96zc+Xe1SO4+WjqvcyMFB7fOUPJ6gXXe2q1mr2rv+H62Z28P3Ah9s7aAX9llub6MHpmjl4jhbFe27gF1nuXb9Kuzl+s917wd46MSyQxNf2FD3PeRH7/+56O/reuvpIjqz7RnpLyp21HSM3M4rMWuX2lshHP95VmraNpuQhaljdAX8nEmCJ+nhy7cou6pcPzynDsym3a1y7/ysdRPdUGUeaoUOaoUDxzM1UojPIeCgghDOu1guQqleq5/1f8hbmqzM3NMTfX7iylv8Hr3m1bvMPYH2cSHhJEkdBgVm7cSnpGBu/U04xK/L8pP+Pi7ESfTu0BWLxmA3OXrOKroQPxcHMlNneEoaWFBVYGfAr/fL7fZeyPM4gICSIiNIRVG7eQnpFJk/q5+Z78E67OTvTurKmws7OV3L53P/f/c4iJjePazdtYWlrg46l5kn3s5BnUqPHz9uL+o8fMnLcYP28v3qlX22DlMDIyomSNzpzYPRN7lwDsnLw5tn0qVnZuBBarn5duwy9dCSxenxLVNMHAP7ZMxC+iJjYOnmRnpnLt1CYe3jxG056z8/ZJS4omLTmGxBjN6K3YR1cxM7fGxtETCysHvZWhU43SfLViF8V83Cju686ig6dJz1LmVahfLtuBm70Ng5pUxdzUhNBnFgKxtdCcz0+2p2VmMXPnMeqXCMHZ1or7sYlM3nIIX2cHqoYbZj6xNi2bMW7ydMJDgokIC2H1+s1kZGTSuL5m6oexk6bi4uxMry6aBkZ2djZ3cs8npVJJTGwc12/ewtLCAm+v/NE0KpWKbbv20LBu7b8lcPbBO3UYPXMRRYJ8KRbsz9Kte0nPyKJZLU3Db9TPC3F1smdg++YAzN+wk19WbeHbgV3wdHUmJneUi5WFOVa538uuP07haGeDu7MjN+49ZOKCNdQqX5LKJV88UvJNdKpZlq+W7aCYrzvF/TxYtP8k6VnZeQHtL5dsx83emkHvVtecU54uWvvbWuaeU7nbHUwscXjm9UJTYwUudlYEuBlmCpw2Ld5l7I8/Ex4STJHQYFZt3EJGRiZN6tcG4LvJ03FxdqJ3Z81Do6fvUcpsJTGx8c/do6pUKMfClWtxc3UhwNeH6zdvs2L9Zt6pb7gpSt5v2YzvJ08jLCSYiLBQVq/fREZGJo3q1wVg3KSpuDg70bNLx9xyPHttxD53bbRu0YyPP/uCxStWU7t6VS5fvc7m7TsZMrCvQcrQumULxk/+kbDQEMLDQlm7fiMZGRk0qq/pnH4/cQouzs706NrpqTJoFnDKzru+b2JpYYm3lydWVpYEBmjfiyzMzbGztX1ue2ExtrbCOiS/s2MV6INdqQiy4hLJuFfwok5/h6zT+7Go346cqPuoIu9hWroGRiZmZF/8EwCLBu1RpSSSdWQrAGYV6pPz+C6qxBiMzC0xK1sLha0jGReO5h3TJKQk6vQUVMkJGDt7Yl6zOcqbF8i59/oLzL6MkZERJap35uTvmvrb1smb4zs09XfAU/X3xl+7ElisPsVz6++jWyfiG14TWwdPsjJTuX5aU3+/20NTfz8JkCuz0qnb4QeyM1PIztSMerOwdkKh0F9d0rFBVUbOXUPRAG+KB3qzZNcR0rOyaFFNE8gZMWcVbo52fNxKM3BizpZ9FAvwxsfViSylkoPnrrH5j9MM/7BZ3jG7NKzOsF9XUDY0gPIRgRw+f439Z68w63/d9ZZvXbbsT6JVfXsexWQTFaukfRNH4pOU/Hk+f6TdV33dOXYuje2HNEHnzfuT+OYjT96rZ8/h06mE+JlTr7Itv67Knw/V2lKBi6MJTrlzm3u5aZr/Cck5z82B/sZlOJDMe/XseRStJCpOSbvGDs+VYUQfN/48n55Xhi0Hkhgz0IOWde04ciaNED8z6lW2YdbK/OlCNGUwxvFJGXKD6poyaM+5/aaavdeWaZPGEhwaQWhYBJvWryIzI526DTQPVqdO/D+cnF3p2LU3AO82f5+Rn3/MhjXLKVuhMof2/86N61fo+5Hm7bv09DRWLJlPlWo1cXB04vGjhyycOxMPT29Kl6ug17w/a9uhVFrWsSUyVklUfA7v17clITmHE5fyF4gd3t2Z4xfT2fmH5jvq0NiOU5cziEnIwdFOQat6dqjUao6c0QQBH0UreRyjpHsLe5ZsSyIlTUW5IhYUDzZn4sLXm+KlIJ3qVuSrhZso5udB8QAvFu35k/TMbFpW1gyk+HLBRtzsbRnUojYAc7YfpqifJ76uDmQpczhw4Qabj53ny/b5D/d3nLyEo40Vnk52XHsYzfhVu6hTMoyqBhqh2bFxTUbNWk6RQB+KB/myZPsB0jOzaF5D892P/GUpro72fNRW89B77sbfKRrog4+bM9lKJQfPXGbz4RMM76yZTiVbmcOw6Qu4fOcBU4Z0J0elymv72ttYYWqi19lU87Rv1pBvp80mIjiAoqFBLN+0g4zMTJrWrQ7AmKmzcHVyoF9HzcOihWs3M3vZOr4e3AdPVxdic992tbQwx8rSgvSMTOav3kj1CmVwdrAnMTmF1dt2ExMXT90qhrsujIyMKFOrM8d2zMDB1R97Zx8Ob/kRa3s3gkvk13urp3chuGQDStfU1Ht7Vo7m8slNNO/5M2YW1qQmaeY2N7ewxcTMAkf3IBxc/Nm9YiQ1WgzDwtqBG2d3cffKIVr0evMpXp7WsUE1Rs5dTVF/L4oH+rBk12HSM7NoUU3z8GjEnFW4Odjxceun6j1/b3zcnMjKVnLw3NXcek/Tl0rLyOSXjXuoV7YYLvY23IuO48eV2/F1c6LqU4vO6lunmmX4avlOivm4a/rfB3L73xVy+0pLd2j6Su9Ue6X+d4F9JVsrAtxe783Ll5ahXiW+mr+Bon6eFA/wZvHvR0nPzKZFFU2gf8S89bg52PJxS02fY862QxT198TXxZEsZQ4HL1xn89FzfNFBU7/YWJpTLtSPyWt2Y25mgpeTPcev3WXT0XN80rqBQcoghND22rXonDlzmDx5MteuXQM0C3cOHjyYnj176i1zr6pe9SokJCYxd+kq4uITCAn0Z8Koz/MWnIuMjtV6qrt+6y6ylUpGjp+idZyu7VrRvcP7f1u+69aoSkJSEnOXrMzL9w+jPscpd3G2qJgYrRGXMXFx9Bzyed7Py9ZtYtm6TZQuXoQf/08z11pKWhqzFi4lOiYOW1sbalWpSM+O7TExUIPpidK1e5Kdlc6+VSPJykjCI6AcTXvO0ho5lhR7l4zU/NdR01Pi+H3ZMFKTojGzsMXZM5ymPWfjG5Y/Zc+FP5ZxfOdPeT+vn6FpqNRp+x0RFfQ3917j0mHEp6bz846jxCSnEu7lys89muctFvQ4IeW5J7ovolAouPo4lg0nLpOckYmbnTVVQv0Y0KgyZiaGCTTXqVGNhMQkflu8jPj4BIKDAvh+9Jd5U0pERcegeOo6iI2Lp/egT/N+XrF2AyvWbqBU8aJMHpv/SuCJ02eJio6hSYO6Bsn3sxpWKUtCUgq/rNpCbEISYf4+TP28H865cxM+jo3H6KnrYvWuQ5oOw5S5Wsfp1aoxvd/XdDhiEpKYvGgtcYnJuDja8U71ivRs9eZvbLxI4zLhmnNq+xFiktII93bh514tcc6dbuVxQhKKf+50eUD+Peq3JSty71EBjB81PO8eFRkTi9FTD0hj4uLoNWRY3s/L121k+bqNlCpeNO8eNahXN+YsWc6UmXOIT0zExcmJZo3q06Wd4e69dWpUIzExkXl510Yg40aP0Lo2np67MDYunj6D8qcWyr82ijEp99qICAth9BefMWfBYhYuW4mnuxv9e3Wjfm39j0QDqF2zOgmJicxftJT4+HiCgwL5bsyovAVJo6Kjta6L2Lg4+n2c/8bWyjXrWLlmHSWLF2PiuP8zSB71zb5ccarsXpj3c9EJXwBwb8EazvYYXljZAkB57QyZltaYV2qEkbUtquiHpG2YjTpdEwg2snFA8dSIHyNzSyzqvo+RtS3qjHRU0fdJWzkdVXz+HM5GVraYV2+GkZUN6tRksi+fIOvPXQYvS6nc+nv/6vz6+50eL6+/9ywfRtpT9fe7PWbjk1t/xzy4QNTdMwAs+177rb4PPt+FrZP2VEVvolGFEsQnpzJj/W5ik1II9/Xkp0Gd86ZbeRyXqFX3ZWRm893ijUTFJ2FuakqApwvf9nifRhVK5KWpW7YoX3Zsxtyt+xm/bDP+7i780K89ZQy8aNb6PUmYmyno874LVpYKLt/K4LtfI8lW5p9L7s6m2FnntyNu3Mtiwm9RfPCuI60bOBAVl8389XEcPJk/Urh8cSsGtM9/EDukk2aKgZXbE1i5I0GvZdiwJwlzMyN6v++MlaWCK7cyGDsriqcHLLo7m2JrnT9Ny417WUycF02Hdxxo3cCB6Dgl89fHc/DUU2UoZkn/p8owuJPmrZ2VOxJYtUM/03s8Ua1mXRITE1i2aC4J8XEEBoUwYswPedOnxERHafUrIooWZ/CnX7F04RwWz5+Fp7cPn434P/wCNEFXhcKYO7dvsHf3NtJSU3B0cqFUmfJ06NQDU1PDrgmx6UAK5mZGdG/pgJWFgqt3shg/L1br+3BzMsbWKv+ccrI3ZkA7R2ysFCSnqrhyJ4uvZ2rmHgfIUcEPC2Jp19COTzo5YW5mRGRsDr+sTuDMU/OZ60PjckWJT0nj580HNO1zbzd+HtA2b6G8x3FJWu3z9KxsvluxnciEZMxNTQh0d+b/ujSjcbn8UaTRSSlMWLOb2ORUXO1saFqpOH0aV9drvp/WsFJp4pNSmblmO7GJyYT5eTHtfz1xzh2h+zguQav+zsjMYtyCtUTFJWBuZkqApxvf9ulAw0qlNfmPT2TfqYsAdPhqstbv+uXzvs/NW64v9atVIiExmVnL1hGXkEhooB+TRgzN72/HxGp9F2u37yFbqeTLCT9pHad72xb0bNcShULBnQeP2LL3EIlJKdjb2hAREsDP3w4n6JlpE/WtfL1eKLPS2b18JJnpSXgFleO9vrO16r2E2HukP1XvnT20FIBV0zppHavBB2MpVqkVxsamtOjzK4c2TmTDr33JykrDwcWPRh+OI7CYfqcTbFSxBPEpz9R7g7vkTbfyODZB67vIyMzKrfcSn6r32tCooqbeUygUXLv/mI2HT5GcloGrgy1VioXQv0V9zEwNF0PI639v/yO//92zxVP97+S/1P8uDI3KFyM+JY0Zm/YRk5RKuI87P3/UIa8N8iguUauPkZ6ZxXdLtxKVe48K8HDh/7q1oFH5/DePvu/Riqnrf+eLuetJSkvH08megc1r06Zm2b+9fG8b9T/8fBN/DyP1a7z/M3LkSCZNmsRHH31ElSpVADhy5AjTp09nyJAhjBnz1+fcirx04i/v80+jNnr10fT/ZMuuli7sLOhFX/VPL0/0Dxdb5N+zkOGL2Ca/fEHffzqzR/pb/LYwxYdUKews6EWOwrAP/v4OKqP/xpQm54q2LOwsvLGak5oXdhb0Ypbf+MLOgl70dVxZ2Fl4Y13XVyzsLOjFP3nxs1f1VV/9T/VTGMb9pt8R84Vldu0dhZ2FN6a0/ecuYv9XZNq4vDzRP9yK+68+bc0/WRfrf3+9B6B46uH/v5XaRj+LxhY2y7qdXp5IaIk/s6+ws/Cv41jqvxGvetprRRlmzJjBrFmz6NAhf96u5s2bU7JkST766KPXCpILIYQQQgghhBBCCCGEEH+31xr6nJ2dTfnyzy9GUK5cOZTKv3+RHSGEEEIIIYQQQgghhBDidbxWkLxTp07MmDHjue2//vorH374oY49hBBCCCGEEEIIIYQQQoh/nleebmXo0PwFwIyMjJg9ezY7duygcuXKABw9epS7d+/SuXNn/edSCCGEEEIIIYQQQgghhDCAVw6Snzp1SuvncuXKAXDjxg0AXFxccHFx4cKFC3rMnhBCCCGEEEIIIYQQQhiG2ui1JtoQ/zGvHCTfs2ePIfMhhBBCCCGEEEIIIYQQQvzt5FGJEEIIIYQQQgghhBBCiLeWBMmFEEIIIYQQQgghhBBCvLUkSC6EEEIIIYQQQgghhBDirSVBciGEEEIIIYQQQgghhBBvrVdeuFMIIYQQQgghhBBCCCH+U4yMCjsH4h9ARpILIYQQQgghhBBCCCGEeGtJkFwIIYQQQgghhBBCCCHEW0uC5EIIIYQQQgghhBBCCCHeWhIkF0IIIYQQQgghhBBCCPHWkiC5EEIIIYQQQgghhBBCiLeWSWFnQAghhBBCCCGEEEIIIQqD2kjGEAsZSS6EEEIIIYQQQgghhBDiLSZBciGEEEIIIYQQQgghhBBvLQmSCyGEEEIIIYQQQgghhHhrSZBcCCGEEEIIIYQQQgghxFtLguRCCCGEEEIIIYQQQggh3lomhZ0BIYQQQgghhBBCCCGEKAxqjAo7C+IfQEaSCyGEEEIIIYQQQgghhHhrSZBcCCGEEEIIIYQQQgghxFtLguRCCCGEEEIIIYQQQggh3lr/mDnJ001tCzsLb0yhzinsLOhFWrqqsLOgH47WhZ2DN2aelVLYWdALI9W//9pQ2TkXdhb0ItbEo7CzIHJZKtIKOwt6UXNS88LOwhvbP3RDYWdBL3Z+2Kmws6AXffqYFXYW3liRUt6FnQW9UKvVhZ2FN5ae89+41waH//vbtQBZzv/+ayPTwr6ws6AXKiPjws7CG3N3+m/0WxPtQgs7C3ph7uBZ2Fl4Y6YZSYWdBSFEIZKR5EIIIYQQQgghhBBCCCHeWv+YkeRCCCGEEEIIIYQQQgjxd1IbyRhiISPJhRBCCCGEEEIIIYQQQrzFJEguhBBCCCGEEEIIIYQQ4q0lQXIhhBBCCCGEEEIIIYQQby0JkgshhBBCCCGEEEIIIYR4a0mQXAghhBBCCCGEEEIIIcRby6SwMyCEEEIIIYQQQgghhBCFwsiosHMg/gFkJLkQQgghhBBCCCGEEEKIt5YEyYUQQgghhBBCCCGEEEK8tSRILoQQQgghhBBCCCGEEOKtJUFyIYQQQgghhBBCCCGEEG8tCZILIYQQQgghhBBCCCGEeGtJkFwIIYQQQgghhBBCCPFWUqOQz1/8vI6ffvqJgIAALCwsqFSpEseOHSsw7axZs6hRowaOjo44OjpSv379F6bXBwmSCyGEEEIIIYQQQgghhDCI5cuXM3ToUEaNGsXJkycpVaoUjRo1IioqSmf6vXv30qFDB/bs2cORI0fw9fWlYcOGPHjwwGB5lCC5EEIIIYQQQgghhBBCCIOYNGkSvXr1olu3bhQtWpSZM2diZWXF3LlzdaZfvHgx/fv3p3Tp0kRERDB79mxUKhW7d+82WB4lSC6EEEIIIYQQQgghhBBC77Kysjhx4gT169fP26ZQKKhfvz5Hjhx5pWOkpaWRnZ2Nk5OTobKJicGOLIQQQgghhBBCCCGEEOI/JTMzk8zMTK1t5ubmmJubP5c2JiaGnJwc3N3dtba7u7tz+fLlV/p9w4YNw8vLSyvQrm8yklwIIYQQQgghhBBCCCHEKxk7diz29vZan7Fjxxrkd40bN45ly5axdu1aLCwsDPI7QEaSCyGEEEIIIYQQQggh3lJqI6PCzsK/zvDhwxk6dKjWNl2jyAFcXFwwNjYmMjJSa3tkZCQeHh4v/D0TJkxg3Lhx7Nq1i5IlS75Zpl9CRpILIYQQQgghhBBCCCGEeCXm5ubY2dlpfQoKkpuZmVGuXDmtRTefLMJZpUqVAn/H+PHj+eabb9i2bRvly5fXexmeJSPJhRBCCCGEEEIIIYQQQhjE0KFD6dKlC+XLl6dixYpMmTKF1NRUunXrBkDnzp3x9vbOm7Ll+++/Z+TIkSxZsoSAgAAeP34MgI2NDTY2NgbJowTJhRBCCCGEEEIIIYQQQhhEu3btiI6OZuTIkTx+/JjSpUuzbdu2vMU87969i0KRP+HJjBkzyMrK4v3339c6zqhRo/j6668NkkcJkgshhBBCCCGEEEIIIYQwmIEDBzJw4ECd/7Z3716tn2/fvm34DD3jXxsk37BpM6tWryEuPp6gwED69+1DRHiYzrS379xhwaLFXL9+g8ioKPr06kmrli200mzcvIXNW7bmTSLv7+/Hhx3aU8HAc96s37SFlWvWEhefQHBgAAP69HpBOe4yf/ESrl2/QWRUNP16dadVi+ZaaRYsXsrCpcu1tvn6eDN35k8GK8MTNYsbUTrICHNTuB8D206oiE8pOH3ZYCPKhhhhb635OToRDl5QcfOxdjpvZ6hVQoGXM6jVEBkPy/arUOYYriwAy/afYP7uo8QkpRLm7cbn7zegRIDXS/fbeuIin8/bQJ0SoUzp3dqwmXzG6q27WLJ+K3EJiYQE+DGkR0eKhgbpTLth51627jvMrbv3AQgPCqDPh+/npVcqlfy6dA1HTp7lYWQU1lZWVChZlL4d2+Dq5Pi3lQlgxc6DLNz8O7GJyYT6efFp51YUD/bXmfb3P8/y24ad3IuMQZmjws/dhQ/fqc271Sv8rXkGWL7nKPO3HyQ2MYUwXw+GdXiX4oE+OtPuPnmBOVv2cy8qDmVODn5uznRqWI2mVUprpbv5KIofV+/g5NXbKHNUBHm6MaFfezydHfSS562b1rJ+9TIS4uMICAymR99BhIYXKTD94QN7WLpoLtGRj/H08qZjt76Uq1BZZ9pfpk9kx9YNdOs1kKYt2+SX6fpVFv42k+vXrqBQKKhctSZdew3A0tJKL2UyRLmmTRrL3t3btPYpXbYiX33zg97y/KyNGzeyetUq4uPjCQwKol+/foSHh+tMe+fOHRYuXMj1a9eIioqid+/etHzvPa00586dY/WqVVy/fp24uDhGfPUVVatWNVj+nzAtURWzsrUwsrJFFfOIjP3rUEXe05nWJKI8lg3aaW1TK7NJmfFF3s9GljaYV3sXY99QjMwtyXl4i4x961Anxhi0HK/CqXp5gj7pgX3Z4lh4uXG8dX8iN+x++Y5/o07vudO4lhPWVsZcvJbK9AUPeBiZ9cJ9nB1M6N7Wk/IlbTE3U/AwMpPJc+5z7XY6AA52JnRv60HZYrZYWxlz/moqMxa9/Liva/muwyzYup/YxGTC/Dz5rGMLigf56ky7+/h55m76nXuRsZp7rbsLHRvXpGm1snlpZq7dyY6jZ3gcl4CpiQlFArwZ0LoRJYL9DJL/F6lTSkG5UAUWZnA3Ws2mP3KIS361fasXV9CgrDFHLuaw7bjKsBl9ibqljfPLEaVm4x/KVy5HjeIKGpQz4cjFHLb++eaNP7Vazeolv7Jnx3rSUlMIK1KSbv0+w8Prxd/vzs0r2bx2MYnxsfgFhtK59ycEhxXL+/esrEyWzP2RPw7sJDs7m5JlKtG172fYOzprHWf/7k1sXbeUxw/vYmllTcVqdena97Pnft/jh/cYMaQzCoWCX5fq777xbzunVuzYx6KNu4lNTCLUz5tPu7ahWEiAzrRrdx9iy4Fj3Lj/EICIQD8GtGumlT4tI5PpS9ez7/hZEpNT8XJzpl2jWrRuUMNgZVi9ZSdL120hLiGR4ABfhvTsTNGwYJ1pN+zYw7a9B7n5pH0eHEifD9topd935E/Wbf+dKzduk5SSwm+TviU0UHe7WJ/WbNnBsrWbcsvhx6BeXSgaFqIz7a2795mzZCVXb9zicXQMA7t3om3zJlpp0tLTmb14JQeOHic+MZHQwAA+7tmZIqG6/zb6olar2bVmGn/uWUl6WjL+YWVo2XUULh4BBe5z6/Kf7N88lwe3L5CcEE3HQdMoVr7+c+miHtxg2/KJ3Lz8J6qcHNy8g+n48Y84uLy8D/lXrN28nWXrNhIXn0BIgD8f9+5GkQK/i3v8tmQFV27cIjIqmgE9OtOm+btaaXJyVMxbtpKdew8Ql5CAi5MTjevWolPbVhgZcDHDVVt/Z/GGbZq+q78vQ3t8QLEC+q7rd+5j674j3Lz3AIDwIH/6ftCqwPTf/7KAdTv3Mahre9o3bWCwMujyb+27CiFec+HOjz/+mKlTpz63ffr06QwePPhN8/RSe/cf4NdZs/nwgw78NHUKQYGBfPnVSBISEnSmz8zMxNPDg+5du+DkqDu45+riQveuXZj+4xSm/TiZUiVL8vU3/8ftO3cMWI6D/DJ7Lh07tGfGj5MICgxg+MjRxL+kHD26dC6wHAABfn4sX/hb3mfy92MNVIJ8lSOMKB9qxNbjKubtUpGdA+1rKTB+wRmWlK5mz1kVc3eo+G2HijtRatpUV+Bil5/G2xna1VRw67GaeTtV/LZTxYnratRqw5Zn24lLTFj7O32aVGfZZ90I93aj38/LiU1OfeF+D2ITmLRuD2WDdQdCDWnXoaNMm7eM7m1bMveH0ZqGxjcTiE9M0pn+5IXLNKheiamjh/HLdyNwc3FiyJgfiI6NByAjM4srN+/Q9f3mzP1hNN99NpC7Dx8zbNyPf2ex2PHHKSYvXkev9xqx6NtPCPPz4qPvfyEuUXePzs7aiu7NG/DbqMEs++5TmtWsyJhfl3Hk7OW/Nd/b/zzHxBVb6dOsDku+6keYjwf9p8wnLkn3kyN7ayt6vlOL+cN7sWLUQFpUK8vX89Zy+Py1vDT3ouLo/v1sAj1cmfW/7qwYNZBeTWthbqqf552H9v/OvFk/0faDLvwwdRb+gcF889X/SEyI15n+8sXzTB7/DfUavsOEqbOoWKUG47/9kru3bz6X9ujh/Vy9fBEnZxet7XGxMYz+cigeXt6MmzSDr8aM597d20yfPE4vZTJkucqUq8jshWvyPkM+G6m3PD9r3759zPr1Vz748EOmTZtGUGAgX40YUXC9l5GBp4cH3bp1w7GA+iIjI4PAoCD69+9vsHw/yyS0FOY1mpF5bCdpy6aQE/MQq+Y9MbK0LnAfdWY6KXPG5H1S532n9e+W73bFyM6J9M3zSF02BVVyPFYte4OJqaGL81LG1lYknb3C+Y9HF3ZWdGrzjivNG7gwbf4DBo+5Tkamim8/CcTUtOAOsY2VMRNHhKDMUfPVxFv0+eIKs5c9IiU1P3g58mN/PFzNGDP1NgNHXSMqJovvPg3C3Ez/He3tR88wadkmeresx5LRHxPq68mACXNecK+1pEezusz7qj/Lvx1C8xrlGT1nJYfPXclL4+/hwrBOLVjx7RDmftkXLxdHBkyYTXwBxzSU6sUUVCqiYOPRHGZtUZKthE71TTB5hda7l7MR5UMVPI4zcIPpFVQvnluOP5T8ukVJlhI6NzB99XKEGfM4Tn8B2U1rFrJj0wq69xvG6B/mYG5uwfejBpGVlVngPn8c2MniOT/yXvsefDt5Pn4BIXw/ahCJCXF5aRbPnsKpYwf56LOxjPhuBvFxMUwZ+7nWcbasW8LKhTNp9n5nxk1fyudjplGizPMPlpVKJT9N+IrwoqX0Vm74951TO46cYMrCtfRs3YSF3w0j1N+bj8b9VGAb8MSlazSsWo4ZIwYxd/QnuDs7MHDsT0TFJeSlmbxwNUfOXGTMgM6smDiC9k1q88O8lew7ftYgZdh98A+m/7aEbu3eY87EbwgJ8GPomPHEJyTqTH/qwiXq16jCtG++4Jdxo3B3cWLo6PFEx+afa+mZmZQsEka/zu10HsMQdh88wk9zF9G1fStmT/o/QgL8+N/ocQWWIyMzEy8PN/p0bo+To4PONN9Pn8XxM+f4cnA/5v34PRVKl2DoqO+0ymoI+zfP5vCORbTs9jX9v16OmbkVc8f3IvsF94CszHQ8/cJp0eWrAtPERt5l5rcf4uoZSO8v5jPou3XUbdkPE1Pdi9i9rt8PHObnuQvo2q41syaNIzjQn0+//q7A7yIzMxNPd3d6d+pQ4HexdM161m/dyaA+3Zk/fRK9O3/A0jUbWLNpm870+rDr0DGmzl9OjzbNmTd+FKEBvgz5djJxBfZdr9CgekWmf/0pv373Be4uTgz+ZhJRsc+35/cePcmFazdxcXIwWP4L8m/tuwpQGynk8xc//0WvVarVq1dTrVq157ZXrVqVVatWvXGmXmbN2nU0btyIRg3q4+/nx8cD+2NuYc72HTt1pg8PC6NXj+7UrlUTU1PdnebKlSpSsUJ5vL298PH2pluXzlhYWHD58hWd6fVh9br1NGnUkMYN6uHv58ugAf0wNzdn+07do0XCw0Lp3b0rdWrVwPQFQTGFsQInR8e8j729XYFp9aVimBGHLqq59lAzInzjURW2lhDuXXCH+PpDuPEI4lMgLgX2nVOTpQRv5/x96pdRcPyamiOX1cQkQVwyXLqnJsfAg1cW7jlGqyqlaFm5JMGeLoxo1xgLM1PWHSm4AZ2jUvHF/I30e6c6Pnoa1ftXLN+4nWb1a/Fu3RoE+nrzaZ8umJubsWn3fp3pvx7cl1aN6xEW6I+/jxef9+uOSq3m+LmLANhYW/HjqE+pV60i/t6eFA8LYWjPjly5cZvH0bF/W7kWb91LyzpVaF6rEkHeHgzv1gYLczM27DuqM335oiHUqVCSQG93fNxd6NC4FiG+npy+8nzg1pAW7TxMqxrlaVGtLMFebnzZsZnmHDp0Une+wwOpW7YoQZ5u+Lo58UH9KoT6uHPqev6DuunrdlK9RBiD329EhJ8Xvm5O1C5dBCc7/SxasXHtCuo3bkrdBu/g6xdAn4GfYG5hwe4dW3Sm37xhFWXKVaRl6w74+AXQoVMPAoPD2LpprVa62JhoZs+cyqBPR2BsrH3vOn7sMMYmJvTqNwRvHz9CworQZ+BQ/ji0j0cP7/+jy2Viaoajk3Pex8bWVi/51WXt2rU0btKEhg0b4ufvz8CPPsLc3JwdO3boTB8WHk6Pnj2pVbt2gfVehQoV6NKlC1V11OeGYla6JtkXjqK8dBxVfBSZe9agVmZjWrTiC/dTpyXnf9LzA5VGDi4Ye/qTuXcNqqj7qBOiydyzBkxMMQ0rY+jivFT09v1cHTWFyPW7CjsrOrVs6MKyDZH8cSqJ2/czmDDrHs6OplQtW3C7oc27rkTHZjN5zn2u3konMiabkxdSeBStGSXu7W5GkRBrps9/wNVb6Tx4nMn0BQ8wN1NQu7L+30JavP0A79WqSIsaFQjydufLLu9hYWbK+v1/6kxfvkgwdcsVJ8jLHV83Zz5oWJ1QXw9OX72dl6ZJlTJUKhaKj5szwd4eDO3QlJT0TK7ef6zzmIZSuYiC/WdVXLmnJjIB1hzMwdYKIvxe/LDBzARa1zBmwx85pGcVfpC8ShFj9p/N4fI9NZHxatYcVOaW48XdEDMTeL+GCeuPKEnX00sIarWabRuW0aJtN8pVroVfYCh9h3xNQlwMJ/7YV+B+W9cvpU7DFtSq3wxvvyC69f8cc3ML9u3aCEBaagp7d23gwx6DKFaqPIEhReg96CuuXT7L9cvnAEhNSWLVopn0GTKKqrUa4e7pg19gKOUq1Xzu961aNBMvH38qVX9+pOqb+LedU0s2/07LulVpXrsKQT6eDO/RHgszMzbsPaIz/bcDu9KmYU3CA3wI8PZgRO8PUavV/Hk+vz939uot3q1ZiXJFw/BydaZVveqE+ntz8YZhBkYt27CVZg1q8269mpr2ed9uWJibF9g+HzWkP62a1Cc0t30+rH9PVGoVx89ezEvTuHZ1urV7j/Kliuk8hiGsWL+Fpg3r8E692gT4+vBJvx5YmJuzebfu66ZIaDD9u35IvRpVMTN5vt+amZnF/iPH6NflA0oXK4KPpwfdO7yPt4c767YZrs5Uq9Uc2raAOs37UrRcPTz9wmnbZxzJCVFcPFHw7w0vVZOGbQZTrHzBI5J3rJxCeKmaNOnwKV4BRXF296No2brY2DsXuM/rWLl+M+82rEeT+nUI8PNhaL+eWJibsWXXHp3pI0JD6NetI/VqViuwTXj+8lWqVypPlfJl8XR3o3a1ylQoU5JL167rNe9PW7pxB83r16Rp3eoE+nrxWe9Omr7r7wd1ph89uDetG9clLNCPAG9Phvftmtt3vaSVLio2nklzlvD1oF6YGBsbLP8F+bf2XYUQGq8VJI+NjcXe3v657XZ2/8/eXYdHcbwBHP/exd1D3IXgFtzdoRSKe/GWtlRoS7FSSg2KtJRixd21WHGnuLtL3D13vz8u5DhIAiSXpv3xfp4nT5u72c077O7N7HuzM9ZERBTu483p6elcu36dCuW0IyuUSiXly5Xjop4S2pmZmezZu4/UlBRCQorrZZ/PS09P5+r1G1QoVyb7NaVSSYVyZQtcj4cPH9GxR2+69x3AhB8nERYWXtBw82RrAZZmCm490XaaU9PhYSS4O+ax4TMUCijhqcDIEB5EavZjbqJJmCelQo8GSj5oo6RbPSUer7jP/ErPyOTSvcdUDfbJfk2pVFA12Ieztx/kut3vWw9iZ2VOu2r6HfXzKtLTM7hy4zahZUpkv6ZUKqlUpiTnr954pX2kpKWSkZmJtWXuIzoTEpNRKBRYWehvGoy8pGdkcPnWfaqU1E5BpFQqqVwykLPXX34zo1arOXb+Knceh1O+eOE+uvms9IwMLt15SJUQ7eN/SqWSKiH+nL2R87QSz1Kr1Ry9dIPbjyOoGOQDgEql4sDZq3gVc2Dwz/OpP+w7un/7O7tPXcx7Z68ac3o6N65fpUy5ijoxlylXkauXL+S4zdXLF3TKA5SrEMqVZ8qrVCqmThxPm7c74eXt+8I+MtLTMTQ01Fmgw9hYM+Lm0oVzBaoTFF69AC6cO03vLm14v383fv91IvFxOY/gKaj09HSuX7tGuXLlsl9TKpWUK1eOy5cu5b7hv43SAKWzO5n3rj3zoprMe9dQuuTxmLiRMRY9v8Si1whMW/RCaV8s+y1F1pcu6owMnX2SmYGB24vnm9BycTLG3taIUxe1XzokJau4ciOJ4v65twNVy1lz7XYSXw7xYunUEvwyNpCmdeyz3zcy0lzL6enaPoFaDenpKkoG6bftSM/I4NLtB1QpEZj9mlKppErJAM7euPvS7dVqNUcvXuf2o3AqBOd8vqRnZLBmz1EszUwJ8nTVW+wvY2cJVuYKbj7SjgpITYcH4Wo8nfJOaLaoYsC1+ypuPir6BPnTetx4qNtHfNV6XH2g33qEP3lIbHQkpcpqv5gzt7DEP6gk167k3OZkpKdz6/plSpbTbqNUKilZNjQ7AX7r+mUyMzIo+cx+3Tx8cHBy4dqV8wCcO30MtVpNdGQ4nw3uyPu9WzL1+y+JDH+i8/cunDnB0YO76DnwU73VG/5755SmD3iPyqW004oplUoqlwrm3LVbr7SPlNQ0MjIysbbUfvaUCfJl39/nCIuKQa1Wc+LCVe4+CqNKmdynYMt3HdIzuHrjtk4y+2n//MKVV0s+pr5C/7ywaepxi0plSmW/plQqqVi2FBeuXMtjy9xlqjLJVKkwfi5pa2JizLmLhTdILTr8PvGxEQSUqpb9mqm5FZ5+Zbh7/Uy+96tSqbh8Zi+OLj7M/eFdvhlcg19Hd+TCCf0m/DX3fDepWLZ09muaY1Gai/k8FgCligfx99nz3Hugmaro+q3bnLt4hSoVyhU05Bylp2dw5eYdQp+57pRKJaGlS3D+Sv7vXVUqFV9Pm03XNk3w83TXe9wv81+9dxVCaOXrGf2AgAD+/PPPFyZb37p1K35+Oc8JpS9xcXGoVCpsbXVHI9nZ2nLvXsFGHd66fZsPP/6UtLQ0zMzMGPXVCLy9Cmf+ydi4eFQqFXa2tjqv29nacO9+/utRPDiITz4aiqe7O5FR0SxauoyPhn/JrF+nYm5uVsCoc2ZhqvlvYoru64kp6uz3cuNkAz0bKDE0gLQMWH1QRUTWE1a2WYNja5ZU8NcZzeij0j4KutRVMuvPvOc7L4joxCQyVWocrHU7ow5WFtx6kvMI6pM37rH2yFlWDO9dOEG9REx8PJkqFfa2ul9e2dtYc/fBo1fax28LV+JoZ0ulZxLtz0pNS+O3RStoWLMKFoV0Lj0vJj5RUy8b3RG69jZW3H4Ulut2CUnJNHt/DGkZGRgolQzv1Z6qpXOeu7kwRCckaeJ+boS3g7Ultx/n/kVifFIKTT77kfSMDJQKJV90bUnVEpr5BaPiE0lKTeOPrfsZ0rYhH7zdmIMXrvHxb8uY+XFvKuWS4HlV8XGxqFSZL3y22tja8eBezsmmmOgobJ4rb2trR0y09jHZdauWYGBgQIvWOc/PX6psBebN/pV1q5fSonV7UlNSWDRvZtb+C/7EQmHVq3zFylStXhtnFxceP3rIkvmz+Gb0Z3z703QM9Dxq5Wm79/y0KbZ2dgVqL/5pCjMLFEoDVEm6H97qpAQM7Jxz3EYVE07KrpWoIh6hMDbFuEIdzNsPIXHxRNSJsaiiw1DFRWNSvRkpu1dDehrG5WqhtLJFZV54I/v/H9jZaLqA0bEZOq9Hx2Vkv5cTF2djWtR3YM2fESzfeJMgX3MGdnUjI0PNzoPR3HuUwpOINHp1cGHavAekpKp4q4kjTg7G2NvodwqcmPisz1ob3c9ae2srbj/KfYBAfFIyTT/6Nvuz9vMebalaSnc9mH2nL/HFb0tISUvH0caK3z59Fzurfy5JZWmmSVomPNe3SkjRvpeTUj4KXO0VzNxcyAu3vCJtPXSTqwkpaizz6EqU8lHi5qDg900ZuRfKh6ftirWtvc7r1rb2xEbnPMVDfFwMKlUmNs9tY2Nrz6MHmqRHbEwkhoZGWFhavVAmNutvhj1+gEqtYsPKeXTvNwxzcwtWLv6d70a9z4SpizE0MiI+LpaZU75m0LCxmJvr5ymxp/5r51RMXEIufUBrbj98kstWuqYtWY+jnQ2VS2kHPX3aqwPfzlpKiyFfYWCgRKlQMqJfZyqE5Dyfc0HEPu2fPze4zN7WmjtZyciXmb5gOY52dv/oqPHnPa2H3Qv3GTbcvf9q9XieuZkZJYMDmb9iLd6e7tjZ2LBr/yEuXLmGu4uLPsLOUXyMph/+/OhuSxtH4mPzP7AsMS6StJQk9m6cTeP2Q2na8WOunj3A4qlDefeLefiF5P3E3KuKzeoTPn/PZ2eb/2MB0OXtNiQmJdNjyDCUSiUqlYp3u3WkUd3Cmas/+971uSfeNdfGq927Tl+0Cic7W51BYgvXbcVAqeSd5vp9CudV/VfvXYUQWvlKkg8bNoz33nuP8PBw6tevD8CuXbv46aefmDLl5fMVp6amkpqa+txraZiYGOcnHL3xcHdn+rQpJCUmsf/gQX6a9DM/fj+h0BLlhaFyJe3oRz9fH0KCA+napz97DxygWWP9LFhR0ltBs4razvSK/fmf+yQyHuZsV2FiBMU9FLSqrGTRbk2i/OlfOHVDzdlbmpurJ6fV+BRTUNZXwZ5zRT9CCiAxJZURCzYxulNT7Cz/mRHW+rZwzSZ2HjzKL2M/x8T4xeswIyODkROno1bDp/17FkGEr8fc1IQl4z8hKTWN4xeu8vPidbg7OVCphP5vgPTJwtSYZaMGk5ySxtHLN5m44k88nOypFOyLKmsi/rrlitOtkWZxxWAvV87cuMuqvccLnCQvDDeuXWHz+tX8OHVWrov+eHn78v6wL5g3azqL581CqVTSvPXb2Nrao/gXz3NWs06D7P/39vHH28efIe925sK50y+MQhf5p3p8B9Vj7cib5Me3sej6KUalqpJ2dBuoVCRvmY9pg3ew6v81alUmmfeuk3H7kuYRJZGtXjVb3u+pHVU1+ufb+dqPQgHXbiUzf7Vm6pEbd1Pw9jCleT17dh6MJjMTvpl2hw/7erByekkyM9WcupjA8TPPNOxFzMLUhKVff0ByShrHLl5n0tJNms/aEO2ordAQf5Z+/QEx8Yms3XuM4dMXs2DUe3qb3up5pX0VtKqq/YJt8V+vn5C0NodmoQYs2JFBRhGt01nGV0mras/UY9frJ7mtzaF5ZQPm66Eet89vou+kr7N//2TUpILtsADUKjWZGRn06D8sex7yIZ+MY0jP5lw89zdlKlRlzi/fUq1OE4qXKvh0Uf8v51R+zVu/nR2H/2bGyA8wMdZ+Qbd8217OXb/NxE8G4Opoz6nL1/nhjxU42tlQpXThPEGcXwtXb2TXgSNMG/dljv3z/7qvPhzMd7/8Trs+QzBQKgn096FBrepcufFqTwq8ilMHN7LujzHZv/f8+De97ftZ6qx+eomK9anZrBcAbt4h3L12iqN/Lddbkryw7D5wmJ17D/DVsPfx9fLk+q3b/DJnPg5ZC3j+2yxYu4UdB48xfcxn2df35Ru3WbFlJ/N+GFWoi40Whv/qvasQ/4/ylSTv06cPqampjB8/nnHjxgHg6+vLjBkz6NGjx0u3nzBhAmPH6i5i9cH77/Hh0Pdfuq21tTVKpZKY5xZci46JyXVxsldlZGSEu5tm5enAwACuXL3GuvUb+OD9916y5euzsbZCqVS+sEhndExsgevxLEtLSzzc3Xj4UH/zaF57oOZhpDZB/XRxTgtT3dHkFqYKnsTknchWqcgeEf44Wo2rvYLQIAVbT6izR7pEPLd2R0ScGutCHMxlZ2GOgVJBZJzuIp2R8Yk45vCH70XE8DAqlqEztfPxP01oVvjge9Z/1R9PJ/3Pw/osWysrDJRKop5bsCUqNu6FkQbPW7J+K4vWbmby6M8I8PF84f2nCfIn4ZFMHTv8HxtFDmBrZaGp13MLnUTFxuOQx1z7SqUSTxcnAIK93bn14AnzNu78xzoadpbmmrifW+QtMi4BhzwSLEqlEi9nzciWYC9Xbj0KZ+6WfVQK9sXO0hxDAyV+rrojbv1cnDh1/eXTCryMlbUNSqXBC5+tsTHR2NrZ57iNrZ39C4tfxjxT/tKFs8TGRjOg1zvZ76tUmcyfM51N61cx44/lANSq24hadRsREx2FiakpCoWCTetWUMyl4FMbFEa9cuLi6oa1tQ2PHz3Qe5L8absXHf1cTNHReS7i/G+jTk5ErcpEaW7Js7kWhbklqqScFzN6gUpFZvgDlLbaEWCq8AckLfsZjE1RKA1QpyRi3uF9MsP+O6Ps/wlHTsVx+UZS9u9GhpobSDsbQ53R5HbWhty4m/LC9k9FxWRw96HuQId7D1OoUUnb1ly/k8x7o65hbqbEyFBBbHwmP48M4NrtpOd3VyC2VlmftbG6n7VRcfE42OT+JIFSqcSrmGbutmBvN249CmPu5t06SXIzE2O8ijniVcyRMgHetBn+A+v2HadPy3p6rcNTV+6peRChPQ5P+1aWppCQrC1naarpL+XEzUGBpZmCAS213XsDpQLvYmoqF1cybnFGoS98fvmeivsR2ivcwECRFbeChGTtH7c0VfAolwUgn9ZjYC71+HpR+ivXwz2wHh2aa6fjychIByAuJgo7e+38fXExUXj5Bb6wPYCVtS1KpYHOIp0AsTFR2aPLbWwdyMhIJzEhXmc0eWxMFDZ2ms8rW3vNf908tV9qW9vYYWVlQ2S4pp9+8dwJTh7bz5a1iwFQo0atUtGjbXUqNRuNX7l2r1Zx/vvnlK21ZS59wDgcbPNeb2nhpp3M37CDX798j0Bv7ZeDKWlpTF+2kR+H9aNmBc3UIYHe7ly9c59Fm3bpPUlu87R/Hvtc/zwmDofnniZ+3pJ1m1m8ZhOTxw4nwKdoB2w9rcfzC0NGxcbmuhDkq3B3Lca08aNITkkhMSkZR3s7Rv84FbdiOT9dlh8lKtTHM0A7vWlmumaBg4TYSKxttX8nITYCV+/8T7ljbmWL0sAQZzfdKTKc3Py4czXn9YjywyarT/j8PV90TMGOxYx5i+nydhsa1NasU+Pn48Xj8HAWr1pXKEny7HvX5xbp1Fwbed+7Ll7/JwvXbmHqqE907l1PX7pGdGw8bw38LPu1TJWKaQuWs3zzDtb+9oN+K5GD/+q9qxBCK19J8uTkZHr27MmgQYMIDw/nyZMn7Nixg2LFir18Y+CLL75g2LBhOq89yuWx9+cZGRkRGBDAqdNnqV5NM5eYSqXi9OkztG7Z4vUq8hJqtZr09HS97vMpIyMjggL8OXXmLDWqaUaTqFQqTp05S5uWzfX2d5KTk3n06DH29erqbZ9pGZD23FQnCcmaEd5hWUlxY0Nwc4CTr7nWh0Kh7cTHJkJ8khqH5+5z7a0U3CjEORGNDA0I8XTh6NXb1C+refxapVJz9OodOtWq8EJ532IOrPqir85rv27aR2JqGp+93RAXu8JfONXIyJBgfx9OnLtI7SoVs2JW8ffZi7zdrEGu2y1et4X5qzcyaeTHhATkMF90VoL83qMnTBs7HBurwhlBlxsjQ0OK+3pw7MJV6lbSzL2nUqk4fuEa7zSq+cr7UanVpKXr95HtvBgZGhLi7cbRSzepV17zCKBKpeLYpZt0rF/llfejVqtJy5pr2cjQkBI+7tx5ojtdy50nkbg65N2ZfKWYjYzwDwji3Om/qVKtVnbMZ0+fpFnLt3LcJqh4Sc6e+ZuWbTtkv3b21AmCi2seCa5Tv/ELCeNxoz6ldr3G1G/U7IX9PU1C79q+GSMjY8qWr/SvrFdOIiPCiI+Pw85Ov4szgaYOAYGBnDl9murVNU8RaNq907Rq3Vrvf6/QqDJRhT3AwCOAjJtP53dXYOAZQPrZQ6+2D4UCpaMrmbcvv/heWgpqQGHjiNLZg9Qj2/QV+f+F5BQVySm6qx9GxaRTroQlN7OS4uamSoL9zdm8O/epji5eS8TDxUTnNXcXE8IiXlxZMSlZkyx1K2ZMoK8ZC9fod+FLI0NDQnzcOXbxOvUqaq5PlUrFsYvX6dig+ivvR6VWk56e9yhbtapw25G0DM3i5M+KT1Lj56rkcbTm39HECNydFBy/mvOQ3puP1Py6Qbff2ra6ARGxcOBCZqEnyCGneqiz6qHITsQ+rcexK7nX45f1uvV4q4YB4bFqDpxXvVY9jEwscHHTJlHUajU2dg5cOHMcbz9NHy8pKYEbVy/QoFnOCWhDIyN8A4pz4cxxKlXVJItUKhUXzh6nUQtNO+EbUBwDQ0MunD1O5eqap2wf3r9DZPhjAoM1ydigEM2aNY8e3MXBUXPPlBAfS3x8LI7OmuklRv8wG5VK++9y8ug+Nq5ewOgfZnP8Vh5rN+Tgv35OafqAnhw/f4W6oZp/O00f8CodGr+42OlTCzbsYO66bUz7Yggl/HX/zTIyMsnIzESh1B1lqlQqs0cC67UORoYE+fvw99mL1K5SKbsOf5+7QLtmuT/hu3jtJhas2sDEUZ9RPKBwpzJ9FZp6+PL32QvUqhoKaOpx8uwF3mreuMD7NzM1xczUlPiEBI6fOsvAnp0LvM+nTMwsMDHTDnJSq9VY2Thy48IR3LKS4inJCdy7eZYqDTrl++8YGhrj4VuK8Me6o+AjHt/G1tEt3/t9nuaez4+TZ8/pHIu/z57nreZN8r3f1LRUlM9dFwaFdF1AVj38vDlx7hJ1Kmvur1UqFSfOXaJ9s/q5brdo3VbmrdnM5K8+IiTAR+e9ZnWq6cxxDvDhNz/TrHY1WtR79fvGgviv3rsKDfW/5ZFHUaTylSRv06YN7dq1Y+DAgRgZGdGwYUOMjIyIiIhg0qRJDBo0KM/tTUxMMDHRvcGKeo2pVtq91ZafJv1MUGAAwUFBrF2/npSUFBo30sw99cPESTg6ONCnl2ZaiPT0dO7e1SyWl56RQWRkJDdu3MTUzDR75PjcefMJrVQRJycnkpOT2b1nL2fPnWP8uLE5B6EHb7dtww8/T8mqRyBr128kJSWFJg01Sc3vJ07G0cGBvr26Z9fjzj1tPSIio7h+8yZmpma4u2lGXP4+5w+qVg6lmLMTkVHRLFi8FKVSSb06hTOf2FPHrqqpUUJBdLyamESoXUpJfDJceaBtWLvUVXLlvpq/r2dNG1FawY3HauISwdgISnop8HaGpXu12xy5oqZWSU3y/UkMlPZR4GAFaw4W7p1e93qVGbloEyW9XCnl7cqiPSdITk2jbVXNSIQRCzbibGvFB63rYmJkSKCbk872Vmaa8/v51wtTx1ZNGD9tFsX9fSkR6MeKTdtJSU2lRX3NsR83dSaO9nYM6qa5oVu0djOzl61l9IcDcHVyJDI6BtB0VM3NTMnIyGDET79y9eYdfvjyQ1QqVXYZa0tLjIzy9fHx2ro2q8uY35dQwteTkv7eLPlzL8mpabSqo0k2j5qxGGc7G97r2BKAPzbsJMTXE49iDqSnZ3LwzEW2HDzBF7065PVn9K5bo+qMmruGEj7ulPJ1Z8nOwySnpdGmhqYj+NWcVTjbWTO0nebmYs6WvZT0ccfDyZ60jAwOnLvG5iOn+aJrq+x99mxck+EzV1Ah0IdKxX05dP4a+85eYdYnffQSc6u33mHapAn4BxYnMKg4m9avIjUlOTuhPXXieOwdnOjWqz8ALVq3Z9TnQ9mwZjkVQqtycN9f3Lh+hYHvfwJoRnFbWesm8A0MDLGzs8fdQzsqasvGNRQPKYWpmRlnTp1gwdzf6Nar/wtzu/5b6pWcnMSKJfOpVqM2tnb2PH70kIVzZ+Di6k65iqF6ifl5b731FpMmTiQwMJCg4GDWr1tHamoqjRppbrJ/+uknHBwc6N1bsy6Cpt3TfPmckd3u3cDMzAy3rHYvOTmZhw+181c+efKEGzduYGVlhbOz/kZxPSvt9D5MG3YkM+w+qif3MCpXC4WhMekXjwNg2qgTqoRY0g5vBcA4tCGZj++iio1AYWKGcYU6KK3sSLlwNHufhgFlUCcnoIqPwcDBFZParcm4eYHMe1cLpQ6vw8DCHIsA7blu7uuBddnipEXFknLv1ebcLEzrtkfQqZUzDx6n8SQije7tihEZnc6hk9qRXRM+8+XQ33Fs3BWZvc3EEQF0bOnEvmOxBPuZ06yuA1PnaUfu1wy1ITY+g/DIdHw8TBnY1Y3DJ+M4eUH/i4l0bVKL0bNWUMLXg5J+HizZfoDk1HRa19IkpEbOXI6znTXvd9Bc73M37aaEjzsezg6kZWRw8MwVthw6yRc9NF+aJaemMXvjX9QpF4KjrTUxCYms2HWYsOg4GlUunWscheHIJRW1SyuJjFMTnaCmfjkD4pPg8l1tH6hnIwMu3VVz7IqKtAwIi9HdR1oGJKWqX3j9n3T4UiZ1yhgQGa8mOh4alH9aD21itldjQy7eVXHs8tN66Pbz0jIgOfXF11+XQqGgaetOrFvxB8XcPHEu5saqxb9ja+9Ixara0ZLffjWESlXr0rilpu/QrE1nfp/8Nb4BIfgHleDPDctITUmhTgNN38PcwpK6DVuzeM4ULC2tMTO3YMHMiQQWL01Acc154+ruRcUqtVk0axJ9hnyBmbkFKxZMx83dm5DSmvPV3VN3wMKt65c0Iwy9/TnzuOCPUf7XzqkuLeoz9reFhPh5UTLAh6Vbd5OcmkqrOpoBRqOnL8DJzob3OrcBYP6GHfy+cjPfvNcTVycHImI0n2XmpiaYm5pgaW5GhZAApi5eh6mxES6O9py8dJ0t+47xYfdXH6X/Ojq1bsb4qTMp7u9LSKAfKzZtIzkllRYNNIn+cVNm4GRvx8DuHQFYtGYTc5auZvSwwbg6v9g/B4iLT+BJRCQRUZonzJ6uP2Rva4NDAUYT5+WdNs2ZMGUGwQF+hAT6s3LjVpJTUmjeQHPdjJ88HUcHewZ01ySa09MzuJ21Xlh6RgYRUVFcu3kbMzNTPFw1XwodO3UGtRo83V158OgJv81bgpeHW/Y+C4NCoaBG0x78tX4GDi7e2Dt5sGPVVKxsnSlRUTuP9ewJvSlRqSHVG3UFIDUlkcgn2kF90eH3eXjnEuYWNtlJ8Not+rD0l4/xDa6EX4kqXD17gMun9tDvy/l6rUOHNi2YMGU6wQH+hAT6s2rjFlJSUmnWsC4A3/78C44O9vTv0QXQPRYZ6RlEREa/cCyqhVZk4cq1ODs54uPpwfWbt1mxfjPNGxbO01MAnVs1Ztwvcyju70PJAF+Wbd5JSmoqLetpRrOPnTobJwc7BnfVrGu0cO0WZi1fz9gP+2Xdu2pG05uZmmBuZoqNleULA7oMDQywt7XB273w5rl/3n/13lUIoZGvLNfJkyf5+eefAVi1ahXFihXj1KlTrF69mlGjRr00SV5QdWvXIjY2lgWLFhMdHY2fnx/jvx6bPU1JeHg4ymfmoYqMimLw0A+yf1+1Zi2r1qylTOlS/PjdBABiYmL5ceLPREVFYW5hga+PD+PHjaVi+YLPCZh7PWoSExvL/EVLiY6Oxt/Pl2+/Ho1dVucmLDxcZ6RDZFQUg4ZqR+CvXLOOlWvWUaZUSSZ+Nx6AiIhIvv1xIvFx8djY2FCqRAhTJ36P7XMLxujbkctqjA2hWSUlpsZwLxyW71WR+czAFFtLMH/muxFzU2hVRYmlKaSmazrhS/equP3MWjzHr6oxVELD8pr9Pi0TozsTit41rRhCdEIS0zfvJyI+kWB3Z6YP7pi9mOfj6Didc+zfoGGNKsTExjN72VqiYmIJ9PVi4lcfZ0+38iQiUmd+trXb/iI9I4OvfvpVZz993mlD345vER4VzYHjpwDo9fEonTLTxg6nQqn8P5L4OhpXLU90XAIzVv9JZGwcQd7uTPtsQPaj9I8jonWORXJqGt/PW0VYVCwmxkb4uDkzblA3GlctvGs5J01CSxMdn8hv63cRGZdAsKcrv37QI3u6lcdRsSifmXM7JTWdbxdvJCw6DhMjI3xcHfmmb3uahGqTMvUrlGBEt1bM3bqPH5ZtxruYIz8O6kT5wNcbXZabGrXrExsbw7JFc4mJjsLXL4Cvvv4xe4R3RHiYzjzhxUuU4sNPR7J04RwWz5+Fq7sHn301Hi+f1xv1dP3qJZYv/oOU5GTcPb0Y8N7H1K2f/9EwhV0vpdKAO7dvsGfXnyQlJmBn70jZ8pXo3L0vRkaFM2donTp1iIuNZeGiRURHReHn78/X48Zp272wMJ3rICoqivefWVx79erVrF69mtKlS/P9D5rHTa9du8bnw4dnl5k1U7NgasOGDRn28ceFUo+Ma2dINbPApEoTFBZWqMIfkrRhNupkTfJUYWmL8plRSwoTM0zrt0dhYYU6JRlV+H2SVv6CKlq7+JHC3AqTmq1QmFuiTown/fLfpB3fWSjxvy6biqWotmth9u8lfvoSgHsL1nC27xdFFVa2lVvCMTVRMrS3O5bmBly4msjIibdIT9ceA1dnE6yttN3Fq7eSGTftNr3au9ClTTEeh6fx+5KH7D4ck13G3saQ/p1csbUxJComg12Holm6PvcFqwqiSZWyms/atduJjI0n2MuNXz7uo20jImNeaCMmLFynbSNcnRjXvxNNqmhGqioVCm4/CmPTgb+JSUjExtKckr6ezPlyIP7/4E02wIELKowMoVU1A0yN4W6YmkU7deeGtrNSYG7671ijJTcHzqswNlTQupqhph5P1Czcmf5CPSxM/pl+Vct23UlNSWburxNISkwgqERZPhszBWNjbSc17PED4uNisn+vWqsRcbExrF4yk9joSLz9gvhszOTsqVQAur77IQqlginffUFGehqly1el16DPnv3TDPhoNItnT+anr4ehVCooXrICn42ZgqHhPzPw4L92TjWuVpGYuAR+X7WZyJh4grzdmfr5kOzpVh5HROn0bVfv2E96RgbDJ8/R2U+/t5vRv73miePxQ/vw67L1jPxlPnEJSbg42TOoY0veblg4I00b1KxKTFw8s5etJio6lgBfLyaO+lTbPw+P1PmMWvfnLk3//IepOvvp3fEt+nbSJPIPHD/Jt9NmZb83euKvL5TRfz2qERMbx9ylq4iKjiHA15ufRn+uU49n+1IRUdH0HfZl9u/L1m1m2brNlCsZwtTxIwFISExm5sJlhEdGYWVlSZ1qofTr2rHQr4faLd4lLTWZtXNHk5IUh3dQBXp/OhOjZz4DIsPukhSvnebuwa0LzPpWuy7T5iXfA1ChZls6DNDkE0pWakTb3qPZs3EmGxd+i5OrL12HTsEnWL/T8NWvVZ2YuDj+WLIi61j48MPoL7DPmsLnSUQkCuWzxyKKfh9p+3vL121k+bqNlC1VginjRwPwQb/ezFmynMkz5hAdG4ujvT2tmjSkZ8f2eo39WQ1rVCY6Lp7Zy9YRGRNHoI8nP4/46Jl71yid0e1rtu8hPSODL3/SnVe+b4fWvNuxTaHF+br+q/euQggNhTofz9CYm5tz+fJlvLy8eOeddyhZsiSjR4/m3r17BAcHk5T0+nNO3r5e9CO+Ckqp/mdXfS8si04GFXUIejHMbkFRh1BgCW7/rgWE8sskOfrlhf7lDJL1PwKyKNx0y/0RZfHPMlPqd37mouK8uXAWwfon7Ru2oahD0Itfuq4s6hD0YtWAm0UdQoH9cE2/UwAWlcJ61P6f1Krq/8dn7aajhbggzz/o41J7ijqEAks1LdzBR/8UlcLg5YX+5Q7G/38kEqtZny3qEPTCJP2/f79klBL38kL/AVah+pvC903x6PLpog7hP8e1eLmiDkHvlC8v8qKAgADWrVvHvXv32LZtG40ba6YLCAsLw9q68OdfFkIIIYQQQgghhBBCCCH0IV9J8lGjRvHJJ5/g4+NDlSpVqJa1gOb27dspX4jTkwghhBBCCCGEEEIIIYQQ+pSvCb/at29PzZo1efToEWXLls1+vUGDBrz11lt6C04IIYQQQgghhBBCCCEKi1qRrzHE4v9MvlfFcHFxwcVFdwGjypUrFzggIYQQQgghhBBCCCGEEOKfIl+VCCGEEEIIIYQQQgghhHhjSZJcCCGEEEIIIYQQQgghxBtLkuRCCCGEEEIIIYQQQggh3liSJBdCCCGEEEIIIYQQQgjxxsr3wp1CCCGEEEIIIYQQQgjxX6ZWKIo6BPEvICPJhRBCCCGEEEIIIYQQQryxJEkuhBBCCCGEEEIIIYQQ4o0lSXIhhBBCCCGEEEIIIYQQbyxJkgshhBBCCCGEEEIIIYR4Y0mSXAghhBBCCCGEEEIIIcQby7CoAxBCCCGEEEIIIYQQQoiioEZR1CGIfwEZSS6EEEIIIYQQQgghhBDijSVJciGEEEIIIYQQQgghhBBvLEmSCyGEEEIIIYQQQgghhHhjSZJcCCGEEEIIIYQQQgghxBtLkuRCCCGEEEIIIYQQQggh3liGRR2AEEIIIYQQQgghhBBCFAW1QsYQCxlJLoQQQgghhBBCCCGEEOINJklyIYQQQgghhBBCCCGEEG8sSZILIYQQQgghhBBCCCGEeGNJklwIIYQQQgghhBBCCCHEG0uhVqvVRR0EwPYzaUUdQoFlqhRFHYJe1AtbUNQh6MWIG52KOoQCq1fVpKhD0IuLt/7738dlZv4rPioLLMDr/+Nzys48vahDKLAbj/8/ru/E5P/+tbFj7bmiDkEv3lvcoahD0Iugy9uLOoQC87h3qKhD0A+1qqgjKLCL7s2KOgS9CHmyq6hD0ItpT94u6hAKzNTk/6MvZWP1369HU5dTRR2CXhyILVvUIehFUsp//57vzsOMog5BL0Z2NizqEP5z7l27WNQh/Od4BpYo6hD0Tq4cIYQQQgghhBBCCCHEG0nNf/+LQ1Fw//2v+oQQQgghhBBCCCGEEEKIfJIkuRBCCCGEEEIIIYQQQog3liTJhRBCCCGEEEIIIYQQQryxJEkuhBBCCCGEEEIIIYQQ4o0lSXIhhBBCCCGEEEIIIYQQbyzDog5ACCGEEEIIIYQQQgghioJaIWOIhYwkF0IIIYQQQgghhBBCCPEGkyS5EEIIIYQQQgghhBBCiDeWJMmFEEIIIYQQQgghhBBCvLEkSS6EEEIIIYQQQgghhBDijSVJciGEEEIIIYQQQgghhBBvLMOiDkAIIYQQQgghhBBCCCGKghpFUYcg/gVkJLkQQgghhBBCCCGEEEKIN5YkyYUQQgghhBBCCCGEEEK8sSRJLoQQQgghhBBCCCGEEOKNJUlyIYQQQgghhBBCCCGEEG8sSZILIYQQQgghhBBCCCGEeGMZFnUAQgghhBBCCCGEEEIIURTUChlDLGQkuRBCCCGEEEIIIYQQQog3mCTJhRBCCCGEEEIIIYQQQryxXnm6lbNnz77yTsuUKZOvYIQQQgghhBBCCCGEEEKIf9IrJ8nLlSuHQqFArVajUCjyLJuZmVngwIQQQgghhBBCCCGEEEKIwvbK063cunWLmzdvcuvWLVavXo2vry/Tp0/n1KlTnDp1iunTp+Pv78/q1asLM14hhBBCCCGEEEIIIYQQQm9eeSS5t7d39v936NCBqVOn0rx58+zXypQpg6enJyNHjqRt27Z6DVIIIYQQQgghhBBCCCH0TU3eM2aIN8MrJ8mfde7cOXx9fV943dfXl4sXLxY4qPxSq9VsWfErh3atJjkxHt/i5ej47kicXb1z3eb6xRPs2jCPu7cuEhcdzrufTKZs5Qb/aMxbV/7Kkb9WaWIOLk+HviNxyiPmG5dO8NfGP7iXFXOfj6dQJlQbc2ZGOpuXT+PS6f1Eht3H1NySoFJVadX5I2zsnfVeh2X7TjL/r2NExCUS5O7M5+0bUtrb9aXbbf37Ep/P30i90gFM7tcu+/WdZ66y8sBpLt17TGxSCss/60lxj2J6jzsnTUKNqFrCEDMTBbceqVi9L5WIWPUrbVu/vBEtqhmz70w66w+m6bznXUxJsyrGeBVTolbDgwgVMzemkFEIMxOp1Wq2rfpF55x6u8+ol55TezbN5f7Ni8TFhNNr2FRKh+peB9tW/cqpw1uJjXyMgaERHr4laNbxA7wD9L8GgVqt5uTOaVw5sZK05HiKeZenepvR2Dj65LrNpSNLuXRsGQnRDwCwdQ6gfP3BeAbXzi6zeVYPHt86rrNd8codqdF2jN7r8FStkgrK+SkwMYL7kbDtbxXRCbmXL++voIK/AhsLze8RsXDgooqbj3XLuTtA7VJK3BxArYYnMbB8n0rv55RarWbX2mmc2LOSlKR4vALL07rnaBxdfHLd5tbl4xzYOpeHty8QHxNOl6HTKFGxoU6Z1JREtq+YxKWTu0hKiMHOyYNqjbpRuX4nvcW9efl0Dma1B37Fy9Gp31d5tgcAe/9cxs4N84iLicDdO4h3+nyBT2Dp7PdjoyNYu3ASl88eJjUlkWJuPjRp14/yVRtll7l78yLrF03mzo0LKJVKylVpSLuen2JqZq6Xeh3aMpXzh1aSkhyHu28FGnQcg52zT67bHNv+O9fObCfqyU0MjUxx8y1PrTafYF/MT1OnyPvMGZNzu9eyz2SCyjcrcNzP1+HE9mlcPraS1OQ4XHwqUOut0dg45V6HC4eXcvHwUuKzrm+7YgFUbDgEr+Ka6zslKYYT26dx/+pBEmIeYWZpj0/JBlRq/AEmZlZ6jf9Z3d8qRtM69liYG3DxWiK/LHjAwydpeW7jYGtIn3dcqVTGChNjJQ+fpPLznPtcu50MgK21IX3ecaFCSSsszA04fzWR3xa9fL+Fyb5mJfw+7otNhVKYujlz4u3BPNmwq0hi2bRxA2tWryQ6OgpfXz8GDBpCcHDxXMsf2L+PRQvn8eTJE9zc3OnV511CQytnvx8dHc28P2Zz6uTfJCYmUrJUaQYMHIK7u7u2TFQUc+fM4tTpkyQnJeHh4ck7HTtTo2YtvdVr2e5jzN9xkMjYBII8XBjeqRmlfT1yLLvr5EXmbN3P3fAoMjJVeDnb06NRdVpWLZtdptyAMTlu+2G7RvRqUkNvcT9v2Z7jzN9+iMi4BII8ijG8YzNK+7rnWHbXqUvM2XpAtx4Nq9GyqrZfkZSSxpS1u9h95jKxicm4O9jSuX5lOtSulO8Yt29exaY1i4mNjsLLN4CeA4YREFQy1/JHDuxi5aKZRIQ9xsXNg069hlC+UvXs99VqNasWz2L39g0kJsYTFFKGPoM/w9XNE4CL507yzZdDctz3uIlz8A8qwcP7d5g7/Qfu37tFcmIitvaO1KjTmHad+2JomK/bNZb/dYT52w5ozilPF4Z3bkkpv1zOqb8vMGfLXu6FRZGRmYlXMQe6N65By2rlcyz/zcL1rN57nE86Nqdro+o5ltEXtVrNqV3TuHJ8JWkp8Th7l6d665f0CY8u5fLRZSTEaPuE5erp9gm3zH6xTxgcWnh9QrVazfFt07h4VNP2ufpWoHa70djm0fadP7SU84eXEh+lqYe9SwCVGg7BO0RbjwtHlnPt5CbCH1wkPTWRvuOOYWJmXWh12L9xKqf3a+rg4V+BJl3GYF8s9zoc2vo7V05tJ+rxTQyNTXH3K0+9dp/g4OKX4/5XTOvHzQv7eXvQrwSVa5jDHgtu7eZtLFu3kajoWPx9vPigf29CggJyLHvr7j3mLlnJ1Rs3eRwWwXt9e9ChdXOdMklJycxZsoL9R44THRtLoK8P7/frRUigf6HE/5RarWbXmmkcz+qjeweWp3Wvl/fR92/R9tG7fvBiH31Ej5Act23a8RNqteirzyqgVqvZt2Eqp545p5p1zfucOrj1d66c3E5k1jnl4Vee+m/rnlNbFo7i1qVDJMSGYWxijrt/eeq3+wRH18I7JnVKKynvr8DUCO5FqNl6XEVUHvd8FQMUVAxUYpt1zxceC/vOq7jxSJt7sDCFhuWU+LkoMDaCyDg4cEHF5fuvlp8QQry+V55u5VkhISFMmDCBtDTtDVtaWhoTJkwgJCTnD9V/ws71c9m7dQkd+43k428XY2JixvTxA0hPS811m9TUZNx9gnin74h/MFKtXRvmsu/PxXR4dxQffbMEYxMzZkx4Scwpybh5B9O+d84xp6WlcP/2RRq3G8DHE1bQZ9hkwh7eZvZP7+k9/j9PXuKntbsZ0LQGyz7tSbC7E4OmryAyPjHP7R5ExjJp3W4q+L/YWU9OTae8nzsftq6j93jzUq+8EbXKGLFqbxpTVieTlqGmf0tTDA1evq2ns5KqJQ15GPFihtK7mJJ+LU25ei+TKauSmbwqmYPn0lEXUtu2e+Mc9v+5mPZ9R/PBuKUYm5gx87v+eZ5TaanJuHkF067PV7mWcXL1pl2vEXzy/VreG70QOyd3Zn7bj4S4KL3X4ey+2Vw8vIgabcbQetByDI3N2fZHPzLSc6+DhY0LoU2G0WbIKtoMWYmbf1V2LnqP6CfXdMoFh3ag8xf7sn9Cm36i9/ifqlpcQaVABX/+rWL+LhXpGdCxthKDPD5545PU7Dmr4o8dKubtUHE7TE37Gkocn7nfcXeAd2opufVEzfydKubtVPH3NXWhnFP7t8zmyI5FtOk1hoGjlmNsYs78n/rleT6lpybj4hlMq+4jcy2zdcn3XDt3gPYDfuCDCZup3rgHmxZ+w6WTf+kl7h3r/2DP1iV06j+STycsxtjEjF++GZhn3H8f/JM183+keYeBfP79cjy8g/ll/EDiYyOzyyz4ZQRhD28zcPhURkxcQ9kqDZkz6VPu3boEQExUGNO+7o+jiyeffruIISN+49H9Gyz8Nfdr63Uc3zmL03sX0qDjGLp8vAIjEzPWTO+b57Vx7/oxytXqSuePV9B+yB+oMjNY/Wtf0lOTALCyc2XA+AM6P9Wav4+RiTk+JWrnut/8OrNnNucPLqRWuzG89f4KDI3N2Dzn3Zdc38Wo0uxj3h66mnZDV+EeUJVt84cQ9VhzfSfFhZEUF0bVlp/R4eON1H1nAveu7GfvqsJr2zs0d6J1I0emzX/Ah19fJyVVxTcf+2JklPsoFEtzAyZ+FUBGppqRE28x4MsrzF72iIREbdsxaqg3Lk7GfD31Nu+NvkZYRBrffuqHiXHRjW4xsDAn7uwVzg8dW2QxAOzbu4fZs36nc5duTJk2HV8/P0aN/JKYmOgcy1+6eIEfvv+WRo2bMnXab1StVp3x48Zw+/YtQHNz/s24MTx+9IivRo1lyrTpODs789WXw0lJSc7ez6SJP3D/wX1GjhrLr9NnUq16Db7/bjw3blzXS722HT/PxFXbGNCiLktHDCDIoxiDpy4iKi7nu2trCzPebV6bBcPfZeWoQbSpXp7R89dx6II2np0/fKzzM6ZHGxQKaFih8Prp205cYOKq7QxoWYelX/YnyMOFwdMWExWXc5/Q2tyMd5vVYsFnfVg5cgBtqpVj9IL1OvX4adV2Dl28zvjeb7Fm9GC6NKjCd8u2sufMlXzFeHj/ThbNnkq7zn0ZP3keXr6BfDfqI2Jjcu7LXL10ll9+HE3dxq34dsp8KlatzaTxw7l350Z2mY2rF7Ft00r6DP6McT/NwdTUjO9GfUhaVnsTVLw00xds0vmp17g1TsXc8AvUHA8DQ0Nq1m/GF19P4acZy+jR70P+2r6eVUtm5aue246dY+KKrQxoVY8lowYT5OnC4Mnzcj2nbCzMeLdFXeZ/0Z8VY96jTY0KjPljLYfOX3uh7F8nL3Lu5j2cbAvvC8hnnduv6RNWbzOGVoOWY2RkzrZ5L+kTWrtQqckwWg9eRevBK3H1q8quxS/2CYMqdaDT5/uyfwqzT3hq92zOHlhInbfH8PZQTdu3aVbebZ+lTTGqNf+YDh+upsOHmrZv6zxt2weQkZaCV/FaVGwwoNBif+rItlmc+GshTbuOoefnmj7I8ql590HuXj1Gxbpd6fH5Cjp9oOmDLJvSl7SsPsizju+aDy9Z+6yg/tp/iF/nLqRnx/bMmjQBf19vPhkzgeiY2BzLp6Sm4VbMmf7du2BvZ5tjmR9++Z0Tp88x4qMh/DH1R0LLl+HjUd8QHqn/e6Rn7d88m8NZffRBo5djZGLOvB/z7qOnpSbj6hVMqx6599E/n7pP56fdu+NRKBSUDG2s9zoc3jaL438tpFm3MfT6QnNOLZ3yCudUva70+mIFXT78g8zMDJZM1j2nXLxL0qrXBAaM3UKnD+aAWs3SyX1RqQpn7bzqIQoqBynYclzF3B2ZpGdAl3oGed7zxSXBX6dVzP4zk9nbMrn9RE3HWkqcnrnna1NViYO1guX7Mvl9SyaX76t4u4YSF7tCqYYQgnwmyWfMmMG2bdvw8PCgYcOGNGzYEA8PD7Zt28aMGTP0HeMrUavV7NmyiCbt+lMmtD7u3sF0f+9bYqPDOXs896RLyfK1aNlp6D86evwptVrNvq0LafxWf0pXqo+bdzBdh3xLbHQY507kPkKrRPlatOg4lDKVc/523czcisEjZlO+WlOKufniE1iW9n2+5N7Ni0RHPNJrHRbuPkG76mVoW7U0/q6OfPVOE0yNjVh35Fyu22SqVHy5YBODmtfEw8H2hfdbVS7JwGY1qBLso9dYX6Z2GUN2/p3GhduZPIpUs3RXKtYWCkr55p0lNzaErg1NWLknlaQc2vM2NYw5cC6dv06l8yRaTXiMmjM3MslU6b8OT8+phm8NoFTWOdV58ATiosM4n8c5FVKuFs06fkDp0NxHbFSo0ZKg0tVwKOaJi2cAbbp9RkpyAg/vXtV7HS4cWkC5egPxLtEAe9dg6nT4jqT4MO5c3Jnrdl4h9fAMroONow82jr5UavwhhsbmhN07o1PO0MgUcyun7B9jU0u9xv+s0EAFBy+pufZQMzpg0zEVVmYQ5J77DcD1R3DjMUQnQFQC7DuvJi0D3By02zQop+Tv62qOXFYTEQdR8XD5vlrv55RarebQtgXUbTWQkAoNcPEKpn3/74iPCePSydyPRVDZ2jRq/yElKjXKtczd66coX7MNfiGVsXNyJ7TeO7h4BnP/5lm9xL178yKavt2PsqH1cPcOoud744mNDudMHu3Brk0LqN7gbarVa4urpz+d+o/E2NiMw3+tyy5z88pp6jTrjE9gaRyLedDs7f6YW1hx96bmKarzf+/DwNCQju+OoJi7L94BpejU7ytOH91J2KO7Ba7XqT0LqNJkEAFlGuLkXpym3X8gITaM62dzPx5vD55DyartcHQNxMmjOE26fUd89EOe3LsAgFJpgIW1k87P9bM7CSrfDGMTiwLFnFMdzh1YQIUGA/Ep2QAH12DqdfyepLgwbl/IvQ4+JerjFVIHGycfbJ18qdz0I4yMzQm7q7m+7V2CaNxjGj4l6mPj4IV7QFVCm37EnYu7UWVm6LUOT7Vt7MiyDU84ciqO2/dT+GnWPRzsjKheIfcRfB1aOBEemc7Pc+5z9VYyTyLSOXkhgUfhmkEH7sWMCQmw4Jf5D7h6K5kHj1P5ZcEDTIyV1K1adHdE4dv2cXX0ZJ6sz/0Y/RPWrV1Nk6bNaNS4CV5e3gx57wNMTEzYsX1bjuU3rF9HxYqhvN3+HTy9vOjeoxf+/gFs2rgBgIcPHnDl8iUGvzeUoKBgPDw8GTxkKGlpqezdsyd7P5cuXaRVqzYEBxfHxdWVTp27YmFhwfVrLyYQ82PhzsO0q1mBtjXK4+/mzFddW2r6UodO5Vg+NNiX+uVD8HN1wtPJnq4NqhLoXoxT17WfMY42Vjo/e85cJjTIFw8ne73EnGs9alSgbfVy+Ls58VWXFpga5VUPH+qXL/5MPapo6nHjXnaZMzfv0apqWUKDfXB3tKV9rYoEebhw/vaDfMW4Zd1S6jVpTd2GLfHw8qXv4M8wMTFh745NOZb/c8MKylaoQqt23XD39OGdbgPw9Q9m+6ZVgOYz7c8Ny2n7Ti8qVa2Nl28Agz4aRUxUBCeO7APA0MgIWzuH7B9LKxv+PrqfOg1boMhKCBZzcaduw5Z4+wbi5OxKxSq1qFGnCVcunMkxrpdZtOMg7WpVok3Nivi7OTOiW2vNOXXg7xzLVyruR/0KJfBzc8bT2YEuDasT6FGMU9fv6JQLi47j+6Wb+PbdDhgavMIokgJSq9VcOLiAsnWz+oQuwdTu8B3J8WHcvfT6fcLw5/uExv9Mn1CtVnN2/wIqNhyIb6kGOLoF06DT9yTGhXHrfB5tX8n6eIfUwTar7avaTNP2Pb6jrUfZ2j2pUL8/xbzK5roffdXh+K4F1Gg+iKByDXH2KE7L3j8QHxPG1dO516HTB3MoU70dTm6BFPMsTste3xEX9ZDHdy7olHty7xLHdsylRY9vC7UeK9ZvpmXj+jRvWBcfLw8+HvQupibGbNm5J8fyIYH+DOrdjQa1q2Ns9OJTHampaew7fIyBvbpQtmQIHq4u9O7cAXdXF9Zv3VFo9VCr1RzctoC6rQdSoqKmj95hwMv76MFZffSSefTRrWyddH4unfwL35Aq2Dt76r0Ox3YuoGaLQQSXa0gxj+K0zjqnrpzKvQ6dP5hD2WfOqVa9XzynKtTuiFdQKLaOHrh6l6RO2w+Ji35EbET+2o6XqRysZP8FFVcfqAmLgfVHNPd8xT1yv+e79lDN9UdqohI093K7z6pIywB3R+02no4Kjl9V8TAKYhLhwAU1KengYifTgghRWPKVJK9cuTI3b97km2++oUyZMpQpU4bx48dz8+ZNKleu/PIdFILIsPvExUQQXKZq9mtm5lb4BJTm1tX8dTAL29OYg0pXy37NzNwK74Ay3NZzzMlJCSgUCszM9TfqIz0jk0v3HlP1mWS2UqmgarA3Z289zHW73/88hJ2VOe2q6X+ajvyyt1ZgbaHk6j1tljElDe4+UeHtkvdNQLvaxly8k8m1+y9mKC3NwNvFgIRkNe+3M2VML3MGtzHF1yVfl95LRYXdJz4mgqBSuteBl38Z7lzT3zmVkZHG4b9WYmpuhZtXsN72CxAffZ/k+Ajc/LXXhbGpFU4eZbITYi+jUmVy48xmMtKScPYsp/PejdObWPRNNVZPbsXxbZPISEvOeScFZGsBlmYKbj/RDu9OTYeHkZqR4K9CoYAQTwVGhvAgUrMfcxNwd1CQmALd6ysZ2lpJ17pKPBz1X4fo8PskxEbgX1J7LEzNrfDwK8O96wU7n7wCynP51G7iop6gVqu5eekoEU9uE1Cq4NMARIY90LQHpZ+5Diyy2oMrOcedkZ7OvZuXKP5MG6JUKilepgo3n/k89gsux8lD20iMj0WlUnHi4FbS01MJLBGq2U9GGgaGRiiV2mvcyNgUgBuXc04UvarYyPskxoXjFax9tN3EzAoXn7I8uvXq+05NiQfA1Nwmx/ef3D1P+P1LlK7WvkDx5iQ+6j5J8eG4B+rWwdmzDE/unH6lfahUmVw/vZn0tCSKeZfLtVxacjzGppYoDfI3VUFeXJyMsbc14tRF7ajMpGQVV24kUdw/9y8Wqpaz5trtJL4c4sXSqSX4ZWwgTetok5ZGRprzJj1d+7mhVkN6uoqSQQWfrue/LD09nevXr1GunHb6B6VSSbly5bl8+VKO21y+fJFy5XWni6hQsVJ2+fT0dACMjY119mlkZMTFi+ezXwsJKcH+fXuJj49DpVKxd+9u0tLSKF2m4P2Y9IwMLt19SJUQ7WPiSqWSKsX9OHvz/ku3V6vVHL10k9tPIqkQmPN0UpFxCRw4d422NXOeOkMf0jMyuXT3EVVCtNMxKpUKqoT4vno9LmfVI8Ar+/Wyfp7sOXuVJ9FxmiTdlVvceRJJtRKv/8h8Rno6t65foVTZ0GdiVFKqXCjXrpzPcZtrl89Tqlyozmtlylfh2mVN+bAnD4mJjtQpY25hiX9Qiewyzzt5dD/x8bHUadgy11gfP7zH2ZNHCCn1+scsPSODS3ceUuWZfyOlUkmVEH/O3ryXx5YamnPqBrcfR1Ax0Cf7dZVKxVdzVtKzSU383f+ZaRDjo++TnFDwPuHNs5o+oZNXOZ33bp7exOLx1VgzpRUnCrFPGJfV9nk+1/YV8yrD49do+66d0rR9Lnm0fYUlJkLTB/EJ0dbB1MwKN9+yPLj56n2QlGRNH8TMQtsHSU9LZv2cj2nceRSWNk76C/o56ekZXL1xi4pltdPoKZVKKpYtzYUr+Rv0k5mZSaZKhbGRkc7rJsbGnLt0uUDx5iWvPvrdAvbRn5UQG8GVM3upVPttve3zqRzPKXMr3F/znErNOqdMLXLu16alJnH24BpsHT2wtncpWNA5sLUAKzMFtx7r3vM9iNRNeOdFoYCSXpp7vvsR2v3ci1BTwkuBaVY3paSXAkMDuBMm060IUVjyfedoYWFB//7987Vtamoqqam6Q27T0hQYG5vkNxziYjSPw1vZ6GafrGwciIuJyPd+C1N8VlyFHXN6Wiobl/xMherNMTXX3wiJ6MQkMlVqHKx0b9wdrCy49STnx8tO3rjP2sNnWTG8l97i0Adrc00DFp+s2+DEJ6uz38tJuQADPJwMmLwq5061vbUm4dE41JiNh9J4GKGiYrAhA9uY8uOy5Fee7/xVxcU+Pad0M6b6OqcuntzDwqmfkJ6WgpWtEwO+nIWltX5HNybHa+I0s9S9LswsHUlOCM9z26jHV9k4ozOZGakYGZvTsNs07Ipp5xj0L9sSS1s3zK2diXp8heN/TiQ2/BYNu03Tax1AM4ccQGKK7uuJqers93LjZAM96isxNIC0DFhzUEVknOa9p/PW1SqpYNcZNWExakr5KOhcR8nsbXnPd/66ErLOJ8vnPqMsrR2Jj837WLxMy+5fse6PUfzwUV2UBoYoFAra9v4a3+KhL932ZZ6e69a2z3222jpktxXPS4iPRqXKzPHz+PGDW9m/9x32I3N//ozP+tRCaWCIsbEp/T+djLOrJqkTVKoyq+f/xI71f1CveTfSUpNZv3hyVlwF+zdLitNsb26lG6OFlQOJca92fatVKvas/hY3vwo4ugXlWOb84VXYu/jj5lehQPHmJCleU4cXrm8rR5Li865D5KMrrPtVe3036fGLzvX9rOTEaE7u+o2QKu/oJ/Dn2Nlouk/Rsbqj1KPjMrLfy4mLszEt6juw5s8Ilm+8SZCvOQO7upGRoWbnwWjuPUrhSUQavTq4MG3eA1JSVbzVxBEnB2PsbYxy3e+bIC5Ok6C2tdNtc2xt7bh/L+fEX3R0NLa2z5e3JSZa00fx8PTEycmZ+X/M5b33P8DE1JT169YQERFBVJS2HzP8i6/4/rvxdO7YHgMDA0xMTBgxcjRubjnPtf06ohOe9qV0+2cO1hbcfpz7NRGfnELj4RNJT89EqVTwZZcWuSaONxw+jbmpMQ3KF95UK9n1sNb9ksjB6hXq8fnP2np0bq5Tj887NuXrxZto8sVkDJVKFEoFo7q1pGIuXwjkJT4uBpUqExs73dH0Nrb2PLx/J8dtYmIisbF9sXxMVlsSGx2Z/drzZZ6+97zdOzZSpnwVHBxfXCdo9Kf9uH3jKunpadRv0ob2Xfu9WuWeoTkWKuytnz+nLPM+FkkpNPn0B9IzMlAqlHzRrRVVS2o/Y//4cz8GSiWdG1TLdR/6lluf0PQV+4Sbfte2GQ26TsPOWVsfvzItsbRzw9zKmejHVzi+bSKxEbdo0FX/fcLsts/qxb7tq7R9q6dp69Gs1y/Yu+Tc9hWmxKw+iIX1c30QawcSY1+9D7Jzxbd4+FfAyV3bB9m5YgIefuULbQ7yp2Lj4shUqbCz1U2m2tnacPd+/kYYm5ubUTI4kAUr1uDt4Y6drS279h/kwpWruLvoPyH7VHxufXQbRxIK2N981skD6zAxtcjz6dD8yj6nnu/XWjuQ8Br92h3LNeeUs7tuv/bEnsX8tfon0lOTcCjmS5cP/8DA0DiXPeWfpZnmvy/c86WosXzJPZ+zDfRuZJB9z7dyv4qIOO37qw9qplf59G1DMlVq0rPK6PN+TwihK99J8hs3bjB58mQuXdKMxilZsiRDhw7F3//lIzsmTJjA2LG681p2G/AV3QflPjfW847v38SymV9n/z7wi19feduicuLAJlbM0ta7//Dphf43MzPSmTflY1Cr6dD31f99C0NiSiojFm5mdOem2FkW7Yi4CoEGtK+r/VJm9uaUPErnzNZSQduaJvy+MTnXxRKVWfn1wxfSOX5Zk0x5EJFGoIcBlUMM2XIk/bX/7rP+PrCJVbPHZP/+7me/FWh/L+NfojIff7eaxPgYjvy1ioVTPmbouKUvJBZfx/XTGzm4bkz274175L8ONo4+vPX+GtJSErh1fhv7Vn5B834LshNpxStrE2b2LkGYWzmxdU5v4iLvYu3gldtuX0lJLwVNK2q/UFlxIP9zn0TGw9wdKkyMINhDQcvKShbt0STKn07VeOqmmnO3NV+yPDmtxsdZQRlfBXvP5f+Ll9OHNrJh3pjs37sPK7zz6ciORdy/cYZuH07H1sGN21dOsHHhOKzsnAko+XqLgB3bv5mlv2vbg8GF2B5sWvYrSYlxvD9qJpZWdpw5/hdzJn3KR1//gbt3EG6eAfQYMo7V839iw5KpKJVK6jTrgpWNAwrF6z1Bcun4BnYuG539e9uBvxc4/l0rxxL56BodP1yS4/vpaSlc/nsTVZoMLvDfArh2ciP71mjr0Kx3/qdks3Xypf2Ha0lLiefmuW3sXvE5rQcufCFRnpaSwJ9zB2BXzJ+KjfSzFke9ara831ObEB398+187UehgGu3kpm/WrMS7427KXh7mNK8nj07D0aTmQnfTLvDh309WDm9JJmZak5dTOD4mTiQJ2v1ztDQkBFfjWLKlEl06vi2ZmR6+QpUrBTKs4s8LFo4n8SEBL759nusra05cvgQ308Yz/c/TMInh4Xs/wkWJsYs/2ogSalpHLt8i59WbsPd0Y7Q4BfjWX/wFM0rl8HE6N/3RYuFiQnLRwzQ1mPV9qx6+ACwdPcxzt16wJTBHXG1t+XktTtMWLoVJxsrqj4z+v6/IjIijLOnjvLBZ9/k+P7Qz74hOTmJu7euseSPX9i8dgmt3u72j8RmYWrMslFDSE5N4+ilG0xcvhUPRzsqFffj4u0HLN15mCWjBmdPEVMYbpzeyMH1Y7J/b1TAPmHb9zR9wtvnt7F/1Rc067cgO1H+fJ/QzMqJP+fqp0949eRG9qzStn0t+has7es4bC2pKfHcOLuNXcs+p+2ghYWeKD9/dAN/LtbW4Z33Ct4H2bZ0LBEPr9HtU20f5NqZXdy5coQ+I9YWeP9FZcRHQ/h+2u+83WcwBkolgf6+NKhVgys3burtb5w+tJH1f4zJ/r3Hx4V7z/fU3/vWULZaS4wKMJjxqfNHN7Blkfac6qiHc+rPpWMJf3iNHp+92K8tVbk1fiE1SIgN58j2OayZ+SE9hy/F0KhgdSnlraBFqLZPv3Rv/uc5j4iHmX9mYmIEJbyUtK6qZMGuzOxEed0ySkyNFCz8K5PkVDXBHgrerqFk/s5MwnKeRl8UgLqQ10QQ/w35SpJv27aN1q1bU65cOWrU0Dwaf/DgQX7//Xc2btxIo0Z5f9P4xRdfMGzYMJ3X9l15vROydKV6+ARqH3PNSNfM5xkfG4mNnfYxrfjYSNx9ir/WvgtLqYr18A54xZi9Cz6FxdMEeXT4Q4aMnKvXUeQAdhbmGCgVRMbrLrwSGZ+Io9WLj5vfi4jhYVQsQ2euzn5NlXUTWuHDH1k/4l08nf6ZOVcv3M7kznLt6O+ni3NamSmIT9LeGFuZKXgQmXOy08NJiZW5go86mGW/ZqBU4OempEZpQ4b/nkRcYlYSM1p3H2HRKuwsCz7lSsmK9fAO0D4ymJH16Hh8bATWhXAdmJiaY+LijaOLN96BZZnwUTOO7V5Dg7avP9LpKa+Q+jh7aq+LzAzNdZGcEIm5tXaUVXJCBPaueY+CMzA0xtpBM7rM0b0kEffPceHQQmq+lfNic05Zf1cfN0TXHqp5GKU9d54u1GJhqjuywMJEwZOYvBPZKhXZIwQeR6txtVcQGqjgz7/VJGTtK+K5jlFEnBqbAn73FFK+Pp7+L35GJcRGYmWrPRYJcRG4euV/RGJ6Wgo7Vk2my9CpBJerC4CLVzCP7l7i4NY/XjtJXqZSXXyevQ6yzqG4mOc+W2Mi8fDJ+bPV0soOpdJAZ5FO0Fw71raaJzPCH99j759LGTFpDW6emptTD59gblw6yb5ty+ncX/NFZGitFoTWakFcTCTGJmYoFPDXpoU4FntxoeK8+Jeuj4uPdo7Rp9dGUnwkljba45EYH4mz+8uv710rvubm+T10/GARVnY5j266dvpP0tNSKFG57WvFmhvvEvVo75Xz9W3x7PUdH4GD28uvbxtHzfXt5FGK8HvnOXdgAbXf1n5BkpaSwJY572JkYkHjHr9gYKCfpOCRU3FcvqFt64wMNX0WOxtDndHkdtaG3Lib+5euUTEZ3H2o+yTdvYcp1KikHdV2/U4y7426hrmZEiNDBbHxmfw8MoBrt19c5OxNYm1tjVKpJCZad5HOmJho7Oxznmfbzs7uhUU9Y2JisH1mJHFAYBDTfplBYmIiGRnp2NjYMuzD9wkM1IxIe/ToIZs2rufX32bi7e0DgJ+fPxcunGfTpg289/4HBaqXneXTvpTusLDIuEQcbXLvtymVSrycNV9QF/d05dajcOb+eeCFJPnJa3e4/SSS7/t1KFCcL5Ndj+cW6YyMT8TROq96KPBy1hyP4p4u3HocwdxtBwgN9iElLZ1p6/9i0sB3qF1aczyCPIpx5f4TFuw4/NpJcitrW5RKA2KjdZ92jI2JwtYu5y/7bW0dXljUMzYmCtusJ5VssraLjYnCzt5Rp4y334tP6+zduQkrKxsqVKmV499zcNJMY+Lh5YtKpWL2L9/Rom1nlK8x/7fmWChfWKQzMi4Bh5edU8U09Qn2yjqntu6jUnE/Tl27Q1R8Is0/+ym7fKZKxaQVW1m88xBbvtfPgpdeIfWz+2aQe58wJR99wvAH57h4aCE12r6kTxhV8D6hT4l6dByWQz3in2v7El6v7XPOavvOHlhA3fZf57ldQQWWrY+b74t9kMS45/ogcZEU83x5H2Tb0q+5fm4P3T5ZhPUzfZDbl48QHX6XSR/pPkm4Zsb7eAZWouvHCwtYEy0ba2sMlMoXFumMjonNdVHOV+Hu6sLUb0eTnJJCUlIyDvZ2jPlhMm7F9DctUV59dOtn++ixEbh66+epodtXThDx6BadhkzSy/4Cy9bn3ZzOqXjd+4xXPaf+XPI1187uocenuufUU6bmVpiaW2FfzAd3v7JM/LAyV07toGTl3Ke6ehVXH6h5EKlNjBs+c8+X8Ow9n6mCx9Gvc8+nwtVeSeVgJVuOq7CzhMpBSmZsziA8K2n+JEaNp5OaSoFKtpwohAXOhBD5S5J//vnnfPTRR3z33XcvvD58+PCXJslNTEwwMdH9Bs/YOO21YjA1s8DUTJuIVavVWNs6cuXcUTyykoHJSQncvn6Omo07vta+C0tuMV87fyQ75pSkBO5cP0uNRgV7RPxpgjz80V3eGzUXCyvbAu0vJ0aGBoR4unD06h3qlwkEQKVSc/TKHTrVfvExfd9iDqz6vLfOa79u3k9iahqftWuAi13ui53pW2o6pKbrNlpxiSoCPZQ8zEqKmxiBVzElhy7kPNr72v1Mflymm7ToWN+EsGg1u0+loVZDVLya2AQVzrZKQNuYOtkouHS34Ktr53ROWdk6cu38Udx9NB2klKQE7t44S/VG+r8O1Cp1dkIyv4xNLHQWB1Sr1ZhZOfLwxpHsG4e0lATC75+leJVOrxefWo0qM/f4oh5p5go0tyr4/IdpGZD23KNvCcmaEd5hWUlxY0Nwc4CTN15v3wq0SffYRIhPUuPw3OVib6Xg5uP8jyIHMDGzwOS588nSxpEbF49kd7hTkhO4f/Msleu/3rF4VmZmBpmZ6S+MrFYoDVCpXr/Dl2t7cP4onr667UGtJjl/thoaGeHpF8KVc0cpW7k+oJl/9cq5o9Rp2hmAtFTNF2vK5+JWKg1Q5xD30+leDv21FiNjY535zl+FsamlziJiarUaC2sn7l45jLOH5nikJifw+PYZytbsnOt+1Go1f60cx/WzO3hn6EJsHHNfeOn84dX4l66PuZV+FvfLqQ7mVk48uHYYx2eu77B7ZylRLfc65EStVmXfYD3dz+bZfTEwNKZJr+kFHin0rOQUFckpup8lUTHplCthyc2spLi5qZJgf3M27855igWAi9cS8XDRjcvdxYSwiBc/p5KSNeeUWzFjAn3NWLjmcUGr8Z9mZGREQEAgZ86cplp1zQANlUrFmdOnadmqdY7bFC9egtOnT9Gmbbvs106dOknx4i8mECwsNJ8hDx484Pr1a3Tr0ROA1BTNlxovXvdK1OqC36AaGRoS4uXGsUu3qF8uJLtexy7fpFO9V1/nR6VWk5bx4iK1aw+epISXK8GehffYP2T1Cb1cOXb5FvXLaT53VSo1xy7folPdV59GS6VWk5au6R9lZKrIyFShfG5kl1KpyB5k8ToMjYzwDQjmwtkThFarkxWjigtnTtC4Rc5rMAQWL8X5Mydo1kbb5p07fYzA4qUAcC7mhq2dAxfOnMAnKymelJTIjasXadi8nc6+1Go1e3dupla9phgavvwWTKVWkZmZgUqtfq1FpIwMDQnxduPopZvUK18iu57HLt+kY70qr7wftVpNWrrmnGpRrZzOHOcAg3+eR4uq5WhTU39TcxmZWGD0fJ/Q0pGHNwveJ0St1mkznqfPPmFubd/9a4dxdNfW48nds5R83bZPpcqzHvpiYmqJSQ59kNuXD1PMU9sHeXjrDBXq5N0H2b5sHFdP76DrsIXYPtcHqda0P+Vq6n6JN/vrVjR45wsCy9TTY43AyMiQIH9f/j57nlpVNZ9LKpWKk2fP81bzJgXev5mpKWampsQnJHD89FkG9OxS4H0+lVsf/ebFI7g910ev0iD/ffRnndi7Gjefkrh66WfAYa7n1KXDuDxzTj14hXNq29JxXDm9g+4fv3hO5byNZruC3rdCzvd88clqfF20A6GMDTVrUP197fXaKoVCm3Q3yvpu9Pk9qNXaJ4uFEPqXryT5pUuXWLFixQuv9+nTh8mTJxc0pnxRKBTUbd6NbWt+x9nVCwdndzYt+wUbOyfKhNbPLjft63cpU7k+dZpqGq3UlCTCH9/Nfj8y7AH3b1/G3NIGe0fXQo+5drPubF87EycXb+yd3dmy4hds7JwpXalBdrlfx/WlTGgDauUSc1RWzBaWNtg5upKZkc4fPw/j/q2L9Bv+KyqVKnuOXnNLGwwN9fe4bfd6lRi5aAslPV0o5e3Koj0nSE5Lp20VzajOEQs342xjyQet62BiZEigm27H08pMM1HXs6/HJibzKDqO8FhN63M7TDOCx9HaIs/RSAW172wGDSsaExGrJjJORbPKxsQlqjl/S5vMHtjalHM3Mzh4PoPUdHgcpdtspaVDUopa5/Xdp9NpEmrMwwgVDyJUhBY3xNlOyfxtuqMJ9eHpObVz3e84unjh4OzB1pXTsLZzptQz59Rv3/ShdGgDajbpCkBqSiIRz55T4fd5cPsS5pY22Dm6kZqSxK51MylZsR5Wtk4kxkdzcPtSYqOfULZKwTuVz9ehZPUenN49A2tHb6zsPPh7x1TMrZzxLqGdq3DL7N74lGxIiWqaOhzfNgmPoFpY2rqRnprIjTObeHTrGE17zQI0o8VvnNmEZ3AdTMxtiXp8haObv8PFpxL2rvpdfPSp49fUVC+hICpBTWwi1C6lJD5ZMwLhqc51lFx9oObv65rX6pRWcPORmrgkMDaCEl4KvJ1h2T7tNkevqKlZUtMRC4uB0j4KHKxg7SH9znGvUCio3qQHezbMwKGYN3ZOHuxaMxUrW2dCKmiPxdzve1OiQkOqNtKeT1FPtOdTdPh9Ht25hJmlDbYObpiaWeJTPJQ/l/+IobEpto5u3L58nNMH19Os83C9xF2vRTf+XD0TZ5es9mD5r9jYOVH2mfZgyth3KVu5AXWbaTriDVr2YMGvX+HlXwKfgNL8tXkRqanJVK3XFgAXd1+cXLxYMvNr2nX/GAsrW84c/4vLZw8z8PNfsve7Z+tS/ILLYmJqzuWzR1i7cBJtun6AuUXBvghUKBSUr9uDo9t+w87ZG2sHDw5tmoKljTMBZbTHY+W0ngSUaUT5OppH9P9aMZbLf2+idb/pGJtaZM8BaWxqlb2oKEB0+B3u3zjOWwNnFijOl9WhdM0enPxrBjaOPljZu3Ni+1TMrZ3xKamtw8aZvfAt2ZBSNTR1OLp1Ip7BtbGydSUtNZHrpzfx8OYxWvSdDWgT5BlpydTv/CPpqQmkp2raEFMLe5TKVx+F+arWbY+gUytnHjxO40lEGt3bFSMyOp1DJ7WTSU74zJdDf8excVdk9jYTRwTQsaUT+47FEuxnTrO6Dkydp13YsGaoDbHxGYRHpuPjYcrArm4cPhnHyQtFNwGlgYU5Fs8spmju64F12eKkRcWScu/RPxZH27fe5udJPxIYGEhQUHHWr19DSmoKDRtp2qGJP/2Ag4MDvXr3BaB1m7Z8PvwT1qxZRWhoZfbt3cP1a1d1Rn8f2L8PaxsbnJ2cuX37FjN//42qVatToUIlQDNvuaubG79Mm0yfd/tjbW3N4cOHOH3qJKPGjNNLvbo3rMbIeWsp4eNGKR93Fu86QnJaOm2qaxZt/OqPNTjbWjP0Lc01Mmfrfkp4u+HpZEdaRiYHzl9j85GzfNm1hc5+E5JT2PH3RT5u31gvcb5aPdZRwtuNUj5uLP7raFY9ymXVYx3OtlYMfUvTH5nz5wFKeLni6WRPWkYGB85f19SjS3MALM1MqBjozc9rdmJiZISbgw0nrt5h05Gz+a5T87admfHzOPwCiuMfVJKt65eRkpKSvYjm9EljsXdwolNPzZRTTVu/w7gvBrN57RLKVarO4f07uXn9Mu++9zmg+Uxr2roja5fPw8XNE6dirqxcNAtbe0cqVa2t87cvnD1B+JOH1G384pc6B/Zsw9DAAE+fAAyNjLh17RLL5/9G1VoNXymh/rxujWowau5qzbHw9WDJzkMkp6bRpkZFAL6as0pzTr2t+Xecs2UvJb3d8XC2Jy09gwPnrrL5yGm+6KqJ1dbSHNvnpko0NDDA0cYKH5fCW2hRoVBQskYPzuyegY2DN5Z2HpzcORUzK2e8QrRtxtY5vfEuoe0TnsjqE1pk9QlvZvUJmzzTJ7x5ZhMeWX3C6MdXOLolq0/oov8+oUKhoEytHvy9awY2Tj5Y27tz7M+pWFg741tKW4/1M3rhV6ohpWtq2r7DWybiHVwbSztX0lMTuXpqEw9uHqNVv9nZ2yTFhZMUH0FspKbfFfnoKsYmFljauWJqbqvXOoQ26MGhLb9h7+yNjaMH+9ZPwcrWWWcu8SWTehJUvhGV6mnqsG3pWC4e20T7wZo+SELWmjYmZpo+iKWNU46LddrYu71S8vN1vdOmBROm/EbxAD+KBwawauMWklNSadZQ88XZ+J9/xcnBnv49NH3D9PQMbt+7n/X/mURERnHt5m3MzEzxcNV8+Xjs5BnUqPFyd+P+o8fMmLcYL3c3mjeoq/f4n1IoFNRo0oPd67V99J2rX+yjz/muNyUqNqTaM330yOf66A/vXMLcwgZbR7fs11OSEzh/bBvNunxWqHWo3LAHB7POKVtHD/ZmnVPB5bV1WDypJ0HlGhFaX3NO/blkLBeObaJDLudUdPg9Lp7Ygl+JGphb2hMf85hDW2diZGxKQKk6hVKXY1dU1CypJCpeRUyCmrplNPd8l+9r78261VNy+b6aE1mJ8/pllVx/qCI2CUwMoZSPEh9nBYv3aL6Aj4iDyHg1zUMN2Hkqk+Q0zTScfi4Klu2VUeRCFJZ8JcmdnJw4ffo0gYGBOq+fPn0aZ+cXF6H5pzRs04e01GSW/j6W5KR4/IqXZ/CXM3Tm0Ip4co/EuJjs3+/euMDUsX2yf1+74EcAKtdpTfch4ws95gatNTEvnzVGE3NwBQZ8/mLMCfHax4Xv3jjPr+O0Ma9b+AMAobXb0HXweGKiwjj/924AfhyuOzJmyMi5BJZ89ZFJL9O0QgjRCclM33KAiLhEgj2cmT6oQ/bCTY+j414YAfQye85fZ9Tirdm/D5+3EYCBTaszqHlNvcX+vN2n0jE2hPZ1jTEzVnDrkYqZm1J05ht3sFZgYfZ69dl/NgMjAwVtahpjZqLgUaSK3zekEBlXOKtS12vVl7TUZFbN1pxTvsEV6P/57zrnVOSTeyTGx2T/fu/mBX4bpx3lvyHrnKpUuw2dB32LUmlA2MNbHN+3nsT4aCwsbfH0L8WQ0Qtw8dT/nIhlar9LRloyB9eOJi0ljmLeFWjSe6bOyND4qLukJGqvi5SESPat/Jyk+HCMTa2wdwmiaa9ZuAdqRhwqDYx4eP0wFw4uICM9GQsbF3xKNqJcvUF6j/+pI5fVGBlAs4pKTI3hXgSs2Kci85l+ja0lmD0zsNTCBFpWUWJpqnniISwWlu1TcfuJtszxa2oMDKBhOc1+w2I0ZWJ0n3LXi1rN39UsPjlvNClJcXgFVqDnJzN1zqeosLskJmiPxYNbF5j7Xc/s37cu/R6A8jXb8na/CQB0HDSR7St/ZuWMT0lOjMXW0Y1G7T8s0Aj1ZzVq05u0lGSW/P41yUnx+Bcvz5ARvz332XqfxGc+WyvWaEp8XDSblk8nPiYCd59ghoz4LXtEuIGhEYO//JX1iycz4/v3SU1JwsnFi+5DvqFUBe2j83eun2PLiumkpiRRzN2Xzv1HUqVOK73UK7RhP9LTktmxdBSpyXG4+1Wk3eDZOtdGbMQ9kp+5Ns4cWArAyqnddfbVpOsESlbVjnS8cHg1VrYu+BQvvM9ZgLJ13yU9LZl9q0eRlhKHi09FmvedpVOHuEjd6zs5IYrdy4eTFKe5vh1cg2nRdzYeQZrrO+LBBcLungFg2fe6ybMun+/Eyv71prp5FSu3hGNqomRob3cszQ24cDWRkRNvkf7MU0quziZYW2m7WldvJTNu2m16tXehS5tiPA5P4/clD9l9OCa7jL2NIf07uWJrY0hUTAa7DkWzdH2Y3uN/HTYVS1Ftl/aR9xI/fQnAvQVrONv3i38sjtp16hIbF8uihQuIjo7Gz8+Pr78ej13WYp7h4WEoldo2OqREST797AsWLpjHgnl/4ObuxoiRY/Dx0U5JEhUVyexZM4iJicHOzp76DRrSqXPX7PcNDQ0ZM3Y88/+Yw7ixo0hOTsbVzZ2Phn1KaKh++lNNQksRnZDIbxt2ExGXQLCHC9OHdsMha2DAo6hYnXmgk1PT+HbpZsKi4zAxMsTHxZHxfdrRJLSUzn7/PH4e1GqaVi7NP6FJpZJExyfy28Y9WfUoxvT3u7ykHlsJi3m2Hm/RpFLJ7DLfv/s2U9ft4su5a4lLSsbV3ob32tSjQ+2K+YqxWq2GxMVGs2rxbGKiI/H2C+TzsT9nL+YZGf5E56mBoJAyDPlkLCsXzWT5ghm4uHkybMT3eHprR1W3ersbqSnJzP7lO5ISEwgqUYbPx/6M8XNz+O7ZvpGgkNK4e/q8EJeBgQEbVi/i8cN7qNVqHJ1caNyyvc4I9tfRpHJpzTm1fheRcQkEe7ry64c9s6dbeRwZo9M/T0lN49vFGwmLjsXEyAgfV0e+6duBJv/QuZOX0rWy+oTrNH1CZ+8KNOmVQ58w6Zk2IzGSfau0fUI7lyCa9JqFe8AzfcIbh7lwSLdPWLZu4fUJy9fT1GPPqlGkJcfh6luRlv1ebPuSn2v7di0bTmJcOCamVji4BdOq32w8s9o+gPOHl3Fih3YtlnXTNYnE+h2/pXio7tMMBVW1iaYPsnXRKFKS4vAMqMg7Q3X7IDER90h+pk94aq+mD7J4om4fpEXPCZSprt/4XkX9WtWJiYtj7pKVREXHEODrzY+jP8fe1haAsIgInXYkIiqKdz/6PPv3Zes2sWzdJsqVCmHKeM382glJScxauJTwiCisrCypU60y73brlK8vuF5HrRaaPvq6PzR9dO/ACvTKoY+eFK/bR58zQdtH37JE20dv339C9utnj2wB1JStqvvlq75Va9KP9NRktjxzTnX6QPecig7XPadOZp1Ti547p1r2mkDZ6u0wNDLm3rUTHN85n+SkOCysHfAKrETP4UtfWHhWXw5dUmNkqKZFqObe7G64miV7MnXu+ewsFZibwNOx4eYm0KaqAZZmmnu+JzFqFu9RcSvryWCVGpbtyaR+OSUd6xhgbAjR8bD+iIrrjwonjyCEAIVa/frPK3799df8/PPPfP7551Svrpk79uDBg3z33Xd8/PHHjBz5+gtEbj9T+I+NFbZM1f/Hcy/1whYUdQh6MeKGfpJtRaleVf1NF1CULt4q+PzrRS0z8/+jMxLg9f/xOWVnXrBFb/8Nbjz+/7i+E5P/+9fGjrXnijoEvXhvceHOO/1PCbq8vahDKDCPe4eKOgT90MOUMkXtonuzog5BL0Ke7CrqEPRi2pO3izqEAjM1+f/oS9lY/ffr0dTlVFGHoBcHYsu+vNB/QFLKf/+e787DF6cu+y8a2blwv6T5f3Tjpv4W231T+Pv99xZRf5l8XTkjR47EysqKiRMn8sUXmhFE7u7ujB07lqFDh+o1QCGEEEIIIYQQQgghhCgMavV//4tDUXD5+qovJSWFAQMGcP/+fWJjYzl9+jTDhg2jePHiOo9RCiGbmyvdAAEAAElEQVSEEEIIIYQQQgghhBD/ZvlKkrdp04YFCzRTcmRmZtK4cWMmTZpE27Zt+e233/QaoBBCCCGEEEIIIYQQQghRWPKVJD958iS1amkWKVu1ahXFihXjzp07LFiwgKlTp+o1QCGEEEIIIYQQQgghhBCisOQrSZ6UlISVlRUA27dvp127diiVSqpWrcqdO3f0GqAQQgghhBBCCCGEEEIIUVjylSQPCAhg3bp13Lt3j23bttG4cWMAwsLCsLa21muAQgghhBBCCCGEEEIIIURhMczPRqNGjaJLly589NFHNGjQgGrVqgGaUeXly5fXa4BCCCGEEEIIIYQQQghRGNT5G0Ms/s/kK0nevn17atasyaNHjyhbtmz26w0aNOCtt97SW3BCCCGEEEIIIYQQQgghRGHKV5IcwMXFBRcXF53XKleuXOCAhBBCCCGEEEIIIYQQQoh/ijxPIIQQQgghhBBCCCGEEOKNJUlyIYQQQgghhBBCCCGEEG8sSZILIYQQQgghhBBCCCGEeGPle05yIYQQQgghhBBCCCGE+C9ToyjqEMS/gIwkF0IIIYQQQgghhBBCCPHGkiS5EEIIIYQQQgghhBBCiDeWJMmFEEIIIYQQQgghhBBCvLEkSS6EEEIIIYQQQgghhBDijSVJciGEEEIIIYQQQgghhBBvLMOiDkAIIYQQQgghhBBCCCGKghpFUYcg/gVkJLkQQgghhBBCCCGEEEKIN5YkyYUQQgghhBBCCCGEEEK8sSRJLoQQQgghhBBCCCGEEOKNJUlyIYQQQgghhBBCCCGEEG8sSZILIYQQQgghhBBCCCGEeGMZFnUAQgghhBBCCCGEEEIIURTUKIo6BPEvoFCr1eqiDgLgwvVHRR1CgRkoMos6BL14lORQ1CHohY/5g6IOocCsksOLOgS9uGpQqqhDKDA/xfWiDkEv7il8izoEkcXCIKmoQ9ALn4cHijqEAlMbGRd1CHrx0Ll8UYegF1eLNy7qEApMdeRCUYegF+mZ//2HTs2NM4o6BL1ITjMo6hD0Itj+SVGHUGAKxb/i9rnAkjLNijqEAlMqVEUdgl6YKlOLOgS9MCGlqEMosHT+P/qEwf6eRR3Cf87lG/eLOoT/nOL+HkUdgt7993u+QgghhBBCCCGEEEIIIUQ+SZJcCCGEEEIIIYQQQgghxBtLkuRCCCGEEEIIIYQQQggh3liSJBdCCCGEEEIIIYQQQgjxxjIs6gCEEEIIIYQQQgghhBCiKKhRFHUI4l9ARpILIYQQQgghhBBCCCGEeGNJklwIIYQQQgghhBBCCCHEG0uS5EIIIYQQQgghhBBCCCHeWJIkF0IIIYQQQgghhBBCCPHGkiS5EEIIIYQQQgghhBBCiDeWYVEHIIQQQgghhBBCCCGEEEVBrVYUdQjiX0BGkgshhBBCCCGEEEIIIYR4Y0mSXAghhBBCCCGEEEIIIcQbS5LkQgghhBBCCCGEEEIIId5YkiQXQgghhBBCCCGEEEII8caSJLkQQgghhBBCCCGEEEKIN5ZhUQcghBBCCCGEEEIIIYQQRUGNoqhDEP8CMpJcCCGEEEIIIYQQQgghxBtLkuRCCCGEEEIIIYQQQggh3liSJBdCCCGEEEIIIYQQQgjxxpIkuRBCCCGEEEIIIYQQQog3liTJhRBCCCGEEEIIIYQQQryx8pUk//rrr0lKSnrh9eTkZL7++usCByWEEEIIIYQQQgghhBCFTY1Cfl7z5/9RvpLkY8eOJSEh4YXXk5KSGDt2bIGDEkIIIYQQQgghhBBCCCH+CYb52UitVqNQvPitwZkzZ7C3ty9wUDnZumkt61YvIyY6Ch/fAN4dOJTA4JBcyx/av4eli+YQ9uQxrm4edO89gIqhVbPfnzZpArt3bdPZplyFUEaN+zH794cP7jF/zgwuXzpHRnoG3r5+dO7Wl9Jly+erDps3rmPd6hVER0fh4+tP/0HvExRcPNfyB/fvZfHCPwh78hg3Nw969OlHpdAq2e+3ad4gx+169ulPu/YdAejXqwthYU903u/e613av9M5X3UAzfHfuPw3DuxcQ3JSPP7B5ejc/0uKuXrnud2ercvYvmE+cTGReHgH0bHvcHwDSwMQEfaArwa3yHG7fsN+oGL1xiTExzB3ypc8uHONxPgYrGzsKRNal7Zd3sfM3DLf9Xlqw8ZNrFq9mujoaPx8fRk8aCDBwcE5lr195w4LFy7i2vXrhIWFMaB/P95q21anzKbNm9m0eQthTzT//l7e3nTt3JnQ0EoFjjU3q7fuZMn6rUTFxBLg48VHfbtRItAvx7Ibduxh695D3Lp7H4BgPx8GdG2fXT4jI4OZS9dw+ORZHj4Jw8LcnNAyJRjYrQNO9nZ6jVutVrNu6e/s3bGWpMQEAouXpfvAz3Fx88pzu11bVrB17UJiYyLx8gmka79P8Qsqlf3+vOnjuXjmGDHREZiYmhFQvAzv9BiKq4dPdpnebV88HgM/Hk+VWk0KXK+1m7exbN1GoqJj8ffx4oP+vQkJCsix7K2795i7ZCVXb9zkcVgE7/XtQYfWzXXKJCUlM2fJCvYfOU50bCyBvj68368XIYH++Y5RrVazeslMdm9fT1JiAkEhZeg96LOX/tvv2LySzWsXExsdiZdvID36f4x/UMns99PSUlkydwpH9u8gPT2dMuWr0GvgZ9jYOWSXuXHtIsvn/8rtG5cBBf5BJejU6z28fYNe+HuPH97jq496oFQqmbl017+iDvFxsUyfOIp7d66TEBeLta0dFSvXpkOPQZhnfSYdP7SbXVvXcOfWVdLT0/Dw8qNd536UqVA1x5ietWXTWtatXp7V7vnz7sChBOXR7h3cv4eli+Zmt3s9evfXafcA7t29w8I/ZnLh/BkyMzPx9PLmsy/H4uRcjLAnjxnQJ+e24ZPPR1OjVt2Xxvwqlu8+yvxtB4iMTSDI04XhnVtQytcjx7K7Tl5gzpZ93AuLIiMzEy9nB7o3rkHLauV0yt18FMaU1ds5efU2GZkq/Fyd+WlQJ1wdbPUSc4712HmIBVv3ERkbT5CXK591a0MpP8+c63HiPHM3/cW9J5GaehRzpFvT2rSsUSG7zIy1O9h+9AyPo2IwMjQkxMedIW83obR/3ufx69i0cQNrVq8kOjoKX18/BgwaQnAe/ZAD+/exaOE8njx5gpubO736vEtoaOXs96Ojo5n3x2xOnfybxMRESpYqzYCBQ3B3d9eWiYpi7pxZnDp9kuSkJDw8PHmnY2dq1Kylt3q9CvualfD7uC82FUph6ubMibcH82TDrpdv+A9Sq9VsW/ULR3evIjkxHt+g8rTrMwqnPPpXNy6dYM+muTy4dZG4mHB6fTSVUqG6/cNtq37l9OGtxEQ9xtDACA/fEjTt+AHeAWUKpQ4710zj+O6VJCfF4x1Unra9RuPo4pPrNrcuH2ff5rk8uH2B+Jhwun0wjZKVGr5QLuzBDf5cPpGbl4+jyszE2d2fbkOnYOvoVij12LryVw7vWq05FsHl6PDuSJzzOBbXL57gr43zuHfrInHR4fT9ZDJlnjsWZ47u5ODOFdy7eZGkhFg+/X4lHj65X4MFrcOONb9kHwufoPK07TUqz2Nx8/IJnWPR/YOpuR6LrcsnZR+LYu7+dBs6ucDH4p9u9wC++vxDLpw7o7NN42atGPTesPzXY+M61j5Tj36D3n9pPZZk3fO5Zt/zaevRtnn9HLfr2ac/b7XvxJMnj1mxdCHnzpwiJjoKO3sH6tZvRPuOXTEyMnqlmLdvXsWmNYuJjY7CyzeAngOGEfBMn+h5Rw7sYuWimUSEPcbFzYNOvYZQvlL17PfVajWrFs9i9/YNJCbGExRShj6DP8PVTbedPHX8IGuWzeXu7esYGZkQUqo8H3/1/Qt/Lz4uli+GdicqMpxZS7djYWn1SvXKybZNq9m4Zkl2XXsP+IiA4BJ51PUvViyaRfgTTV279BpE+VBNXTMyMli+cCanTxwm7PFDzC0sKFU2lM69BmLv4JTvGJ+n73MKNNfGgj9mcuHc2exrY/iIMdnXxqNHD5g3ewaXLpwnPT2d8hVD6T/ofWzt9Jfv2bhxo87996BBg3K9/75z5w4LFy7Mvv/u37//C/ffy5cv5+ChQ9y/fx9jY2NKhITQp08fPDxy7mfmx+aN61mbldPx9fWn/6D38szpHNi/l8UL52XldNzp+VxOJzk5mfl/zObo4YPEx8dRrJgLLVu/RbMWrbLLfDl8GOfPndXZb9NmLRn8/od6q5cQQuO1RpLb2dlhb2+PQqEgKCgIe3v77B8bGxsaNWrEO++8o/cgD+z7iz9mTeedLr34aeosfHz9+Xrkp8TEROdY/vLF80z64WsaNG7BxKmzqVytJt9/8xV3bt/UKVe+YmXmLFyd/TPss1E6748f8wWZmZmM/fZnfpwyEx/fAL4d+wXRUZGvXYf9e3czd9YMOnbpwaRpM/D182fMyOG51uHSxQv89P03NGzcjJ+n/U6VajWYMG4Ud27fyi4zb9FKnZ/3P/wUhUJB9Rq6N55duvXSKdeyddvXjv9Z29fNY/eWJXTpP4Lh3y7E2MSMaeMGk56Wmus2Jw5uY9X8ibTsMIAvf1iKh08Q074ZTFxsFAD2Di58P2unzk+rjoMwMTWnZPmaACgUSsqG1mXw8MmMnbaenkO+5vLZoyyZ+U2B6gOwd+8+Zs2aRbcuXfhl2lT8/HwZMXIkMTExOZZPTU3FxdWFPr17YWeXc8LY0dGRPr17MW3qFKZOmUK5smUYO24ct+/cKXC8Odl58CjT5i2jzzttmfvjWAK8PRk27ieiY+NyLH/ywmUa1azC1LHD+f3br3B2tOejr38kPFJzTqakpnHl5h16tW/N3B/H8u1n73H34WOGfzdF77FvWTufHZuW0WPgF4z8YR7GpqZMGvt+nufU0QPbWTb3Z9p06seYSYvw9Ali4tj3iYuJyi7j4x9C36Gj+XbaSj4e/Quo1fw0ZgiqzEydffV9fzST//gz+6dClboFrtNf+w/x69yF9OzYnlmTJuDv680nYyYQHRObY/mU1DTcijnTv3sX7O1scyzzwy+/c+L0OUZ8NIQ/pv5IaPkyfDzqG8Ijo3Is/yo2rVnI9k0r6DNoOGN/nIOJiSnfj/6AtDz+7Y/s38HiOVN4q1Nfvvl5Pl4+AXw/+gNin/m3Xzx7MqeOHeD9zybw1be/ER0VweQJn2vrm5zEj2M+wMGpGGN+nMuo72diambOD6M/ICMjQ+fvZWRk8OtPIwkuUfZfVQelUkHFKrUZNuInfpqxkv4fjOL8meP8MV17c3f5wilKlavMJ6N/5puf5xNSuiITv/mY2zeu5BobPG33fqNjl55MnDozq9377CXt3jgaNG7OxKmzqFKtJt99M1KnzXj06AFffjYUd09Pxn33Mz//OpsOnbpjZGwMgIOjE3MXrtb56dS1F6ZmZlSoVCXHv/u6th0/x8QVWxnQqh5LRg4iyMOFwZPnExX34tNpADYW5rzbvA7zv+jHitHv0aZGBcbMW8uh89eyy9wLi6LP97PxdXFi1id9WDH6Pfq1rIOJUb7GAbxaPY6eYdKyTfRv24AlY4cS6OnKkJ/m5FEPM/q2qs+8kYNZ/s1HtK5VibFzVnLonPY88HZxZHj3Nqz45iPmjhiIm6MdQ36aTXQu+3xd+/buYfas3+ncpRtTpk3H18+PUSO/zLMf8sP339KocVOmTvuNqtWqM37cGG5nnVNqtZpvxo3h8aNHfDVqLFOmTcfZ2ZmvvhxOSkpy9n4mTfyB+w/uM3LUWH6dPpNq1Wvw/XfjuXHjul7q9aoMLMyJO3uF80P/vU887t44hwPbFvN2n9EMHbcUY1MzZn3XP8+2MC01GTfvYN7q/VWuZZxcvXmr1wg++W4tQ8YsxM7JnVkT+pEQl/+2Izf7Ns/m0PZFtO09hsFjlmNsYs7cH/q9tA6uXsG06Tky1zKRT+4y45uuOLn60v/L+Xzw7Trqtx2EoZGJ3usAsGvDXPZtXcI7747ko/GLMTY1Y8a3A15aD3fvINr3GZFnGb/g8rTu8lFhhK1j7+Y5WcdiNEPGLMPIxIy5P+R9PqWnJr3iseiWdSzm8eG3a6nfdmCBj0VRtHtPNWrSQqft69lnQP7rsXc3c2f9RqcuPZg07Xd8/PwZm8c93+WL55mYdc83adpMqlSrwXfP3fP9sWiVzs/Te75qNWoD8ODeXdQqFYPe/4ipv82lb//B/LllI4vmz36lmA/v38mi2VNp17kv4yfPw8s3kO9GfaTTJ3rW1Utn+eXH0dRt3Ipvp8ynYtXaTBo/nHt3bmSX2bh6Eds2raTP4M8Y99McTE3N+G7Uhzp9s2MHdzN90ljqNGzBd1MXMuaH36lRp1GOf3Pm1G/x9Ml5oMnrOLRvJwtnT6N95z5MmDIXb98AJowaRmwux+fKpXNM/WEM9Rq15Lupf1Cpai1+Gv8F97LyCmmpKdy+cYV2nXoxYcpchn35LQ8f3OWnccMLHOtThXFOPXr0gC8//QB3Dy+++X4Sk6fP4p3O3bKvjZSUZMaM+AyFQsHXEyYy4aepZGRkMH7sCFQqlV7qtXfvXmbOmkXXLl2YNm0avn5+fJXH/XdKaiourq707t071/vvc+fP06plS36eNIlvx48nIzOTESNGkJKSopeY9+/dzZxZM+jUpTs/T5uBj58fo0d+/pKczngaNW7K5GkzqFKtBt+OG61zLObM+o2Tfx9n2Kef8+vvc2nVth2//zaNo0cO6eyrcdPmzF+0IvunV99+eqmTEELXayXJJ0+ezKRJk1Cr1YwdO5aff/45+2fGjBkcOHCAX3/9Ve9Bbly7kkZNW9CgUTM8vXwY8N4wTExN+Wv7lhzLb9qwmvIVK9P27U54eHnTpXtffP0D2bpprU45IyMj7Owdsn8srbTfSMfFxvDo4X3adeiCj68/bu4edO/Vn9TUFO7eufX8n3yp9WtX0bhpcxo2boqXlw+D3vsQExMTdm7/M+c6r19DhYqhtGvfEU8vb7r26I2ffyCbN67LLmNnb6/zc+zIQUqXKYeLq+4oDjNzc51ypqZmrx3/U2q1ml2bF9Ps7X6Uq1wPD58ger8/jpjocE4f253rdjs3LqRGw3ZUr98WN09/uvT/CiMTUw79pamP0sAAGztHnZ/TR/+iYvXGmJqZA2BhaU2dJu/gHVASByc3ipepQp0m73D90ql81+epNWvX0rRpUxo3boS3lxfvv/ceJiambNu+PcfywUFB9Ovbl7p16uQ6QqNqlSpUDg3F3d0dDw93evXsiampKZcvXy5wvDlZvnEbrRrWoUX9Wvh6uvPpgJ6YmBizade+HMuP+XAg7Zo2IMjXG28PNz4f1AeVWs2JcxcBsLQwZ8roT2lQozLe7q6UCgpg2LvduHLjNo/DX/+Lotyo1Wp2bFxKq3f6UqFKXTx9Aun3wddER4Vz8uieXLfbvn4xtRu3pVaD1rh7+tFj0BcYm5iyf9eG7DJ1m7QjuGQFHIu54eNfnHZdBxMV8YSIsEc6+zK3sNI594yMC37TvWL9Zlo2rk/zhnXx8fLg40HvYmpizJadOdcpJNCfQb270aB2dYxzSO6lpqax7/AxBvbqQtmSIXi4utC7cwfcXV1Yv3VHvmJUq9X8uWEZbd7pTcWqdfDyDWTgR2OIiYrg7yN7c91u6/ql1GvchjoNW+Hu5UfvwZ9jYmLK3p0bAUhKTGDPzg107fsBJctWwjcghP4fjOTa5bNcv3wOgIf375AQH0f7LgNw8/DWjLDu9C6xMVEvHJ9Vi2bg5uFNlZovjmYryjpYWFrTsPnb+AWG4OjsSqmyoTRs/jZXLp7O/jvd+w2j5dvd8Q8sgYubFx17DMbF1ZNTx/fneWw2PNfuDcxq93Zt35pj+aft3ltvd8LTy5su3fvg5x/IlmfavSUL5lCxUhV69hmIn38grq7uVK5aA1tbzY2GgYHBC+3K0cMHqFGzLmZm+W83nrVoxyHa1apEmxoV8HdzZkS3VpgaG7Hu4Mkcy1cK9qV+hRL4uTrj6WxPl4bVCPQoxqnr2i8bf1m3g5qlg/iwfROKe7nh6WxP3XIh2FsX/Amj3Czetp+36lSmTa1Q/NyLMaLnW5gaG7F+3/Gc6xHiT/2KpfBzK4answNdGtck0NOF01dvZ5dpVq08VUoG4uHsgL+7C8M6tyQhOZWr9x/rJeZ1a1fTpGkzGjVugpeXN0Pe+wATExN2bN+WY/kN69dRsWIob7d/B08vL7r36IW/fwCbNmo+Yx8+eMCVy5cY/N5QgoKC8fDwZPCQoaSlpbJ3z57s/Vy6dJFWrdoQHFwcF1dXOnXuioWFBdevXcvx7xaW8G37uDp6Mk/W7/xH/+6rUqvV7P9zIQ3bDqBUpfq4eQXTadAE4mLCOH8i9xHvIeVq0eydDygd+uLn41MVarQkqHQ1HIp54uIRQOtun5GSnMCju1f1XoeDfy6gXuuBlKjYAFevYN4Z8B3xMWFc/Dv3f/fgsrVp3OFDSlbKOTkGsH3lZILL1qZZ509x8ymBQzEvSlSoj6WNQ67bFKQee7csonG7/pQOrY+7dzDdhnxLbHQ4547/let2JcrXokWnoZStnPOTngChtVvRtP0ggkq//Gmignh6LOq3HkDJrGPRccB3xMWEcfHv3M+n4LK1adLhA0rlMHr8qW0rpxBctjbNO3+Cux6PRVG0e0+ZmJrqtH3m5hb5rsf6tStp3LQ5DRpr6jHovY8wMTHJtR6ae77KvNW+U9Y9X1Y98rjnO3rkEKWeueerUKkyQ4cNp3yFUFxc3ahctQZt23XgyKEDrxTzlnVLqdekNXUbtsTDy5e+gz/DxMSEvTs25Vj+zw0rKFuhCq3adcPd04d3ug3A1z+Y7ZtWAU/7Zstp+04vKlWtjZdvAIM+GkVMVAQnjmjuSzIzM1gw62e69H6Phs3a4eruhYeXL1VrvXju7diyhqTEeFq+1eWV6pOXzeuWU79JK+o2aoGHly/vDvkUYxMT9uRS160bVlC2YhVavd0Vd08fOnbvj69/ENuy6mpuYcmIb6ZQrVYD3Dy8CSxeij4Dh3Hz+hUiwvTTfhfGObV4/lwqVKpMr74Dcrw2Ll08T3jYE4YOG46Prx8+vn588PFwrl+7yrkzBb/3Bli7di3NmjalcePGz9x/m7A9j/vvd19y//3NuHE0atQIb29v/Pz8GDZsGGHh4VzTU59j/drVz+R0vBn8mjmdbj164+cfwOaN67PLXL50kfoNGlO6TDmKFXOhabOW+Pr5c+2Kbs7AxER/n1NCiNy9VpK8Z8+e9OrVi927dzNo0CB69uyZ/dO5c2eqVaum9wDT09O5cf0KZcpV1AatVFKmXEWuXL6Y4zZXL1/QKQ9QvkLlF8qfP3eaXl3a8l7/7vz+6yTi47QjPK2sbXD38GTPX9tISUkmMzODbVs3YGNrh39Azo8A5V2Hq5Qtp32sWqlUUrZchVzrcOXyRcqWf64OFSvlWj4mOooTx4/SsHGzF95bvXIp3Tq25cP3BrBm1XIynxtF+zoiwh4QFxNBSBntqEIzCyt8A0tz8+qZHLfJSE/n7s1LOtsolUpCSlfh5pWzOW5z58ZF7t2+Qo36bXONJSYqjFNHdxFYomKuZV5Feno6165fp3y5cjrxlS9Xjkt6SmhnZmayZ+9eUlNSCAnJ/dG4/EpPz+DKjduEltE+KqhUKqlUpiTnr97IY0utlLRUMjIzsbbMvcFNSExGoVBgZWFe4JifCn/ygNjoSEqW0T7Cb25hiX9QKa5fOZfjNhnp6dy+cZmSz51TJcpW5nou51RqSjIHdm3AqZg79o7FdN5bOPN73u/egK8/7cG+netRq9UFqlN6egZXb9yiYtnSOvFVLFuaC1fyl5TIzMwkU6XC+LlOoYmxMecu5e88DX/ykNjoSEqVff7fviTX8vi3v3X9MiXLabdRKpWULBuanTy+df0ymRkZlHxmv24ePjg4uXDtynkAXN29sLSyYc+ODWSkp5OWmsKeHRtw8/TBqZhr9nYXzpzg6MFd9Bz46b+uDs+Ljgzn+OE9FC9ZIcf3AVQqFSnJSVhY2uRaRttmPN/uVeDK5Qs5bnPl8kWd8qCZQuxqVnmVSsWJ40dwc/dg7MhP6dnlLT77aBBHD+d+A33j2hVu3bxOw8bNcy3zOtIzMrh05yFVQrRTQCmVSqqE+HP2xr2Xbq9Wqzl66Qa3H0dQMcgH0NTrwNmreBVzYPDP86k/7Du6f/s7u0/l3FbqQ3pGBpdu/4+9+w6PongDOP69Sy6990oKCSX00Lt0KVJVwIIgqNgVLKgoAj8BG0pRRIoCUpQuVQHp0nvvEEhCei+XXO5+fxwpl1wCJDmi+H6e556HbHYvM+zOzsy7szORNA8LLdimVCppXieEk1ci7nq8TqfjwNnLXI+OI7xmUKl/Y9WOA9hZW1HD39voPveV5txcLl++RMOGhdPFKZVKGjZsxPnz54wec/78WRo2MpxeLrxxk4L9c3NzAbAoMiJTqVSiUqk4e7awjNSuHcbuXTtJS0tFq9Wyc+d2cnJyqFe/8qf6+DdLjL1FWnI8oXULg6fWNvZUq16fG5eMt6/KQ6PJYf9fy7Gyscen2v21Z+8mKe4WaSnxhNQt7A9Y2djjH1yfiMvlz4NWq+X8iZ24eQUy/4sR/O+V1nw3biBnDpvmgUdC7C1Sk+MNAtnWNvYEhNTjWiWeC1NKLONc3Lh8vNzfW/RczPviBSa+0qZSzkVV13u7tm9lyOA+vPHKMBb9PAd1OUed5uejeL+1QRn91gvnz1K/kWG7oVHjpqXmOzkpkSOH9t+1bs7MyMDuHqYk0beJLlC3QVODNNdt2LTU9s6l86ep27Cpwbb6jZpz6bx+/9iYKJKTEgz20bfNwgr2uXblAokJcSiUSj54cwivDOnF5+PeNhiNDnAr4hqrl83n5bc/QaEs13JqJfJar6FhXus1bMLF86Xl9Qz1GhpOzdggvHnBdWZMZmY6CoUCmwpMCZPPFNdUYdnw59Ox7/Hc4P68+9YrBg9V8uv4osFoCwsLFAoFZ88Yb1/fb74uXb5Mw2L974aV2P8GfTkAsLevnHNx+fJFGhqJ6Zwv5VycP3+WBsXORXjjpgb716odxsEDf5MQH49Op+PkieNERd6iYbjhdbdz+zaeHtSf114ewYKf5pb7PiWEKFu53kVu3749eXl5rFy5knPn9J2lOnXq0Lt3b8zMzCo1gWmpKWi1WpycDOe+cnJyJvKm8c5oclJiif0dnZxJTip8ZaxR42Y0b9UOTy9vbkdHsnjBXCaOe5/JX32HmZkZCoWCcZ99zecTx/L04z1QKBQ4Ojnz8YQvDEac34vU/DwUey3IycmZWzeNBwb0eSi5f1KS8dfe/tr6J9bWNrQsNtVKr979CA4Jxd7ennNnz7JowVySEhMY/uIr95WHgrwkxQPg4GQ4WsTe0YXUZOOji9PTktBq83AoNsLE3smV25HXjR6z96/VePkFU71WwxK/m/vNGE4c2kFuTjb1m7Tn2ZfH3X9GikhNTb1zfpwMtjs5OXGzlPNzr65du87bo0eTk5ODtbU1H388loBqlTe/bL7ktDTytFpcnAwDby6ODkRERpdylKFZi5bj5uxEk/rG5+RT5+Qw65ff6NymObY2lTOqFCDlznVT/JpycHQhJcn4NZWWlqy/poqXc0cXbt+6brDtr43L+W3hdNTZWXj5BvDOp99hXqTB12/wSGrXb4KFpRWnj+9n0ezPUWdn0aXXoPLnKTWVPK0W52Lnw9nJkYhbkeX6Thsba+rUDGXhb6sI8PPF2cmJbbv3cubCRXy9vMr1nclJ+f/3hv+PDk4upJRyr0lL1f/fO5a4x7oQHakf3ZuSnIC5uarEfJGOToXn1NrGlo8mzeKbz95jzW/zAfDy9uf98dMwMzO/87dS+HHaBF4eNb5gju9/Uh7yzfxyLEcP7CInR02jZm0Z8fqHRv8uwMbVi8nOzqJ5m9JHGubXe45G6oCy6z1jdUbSnfwkk52VxarlS3nq2ecZMvQljh45yOeffcKEyVOpW69hie/c+udG/PwDqBVWt8TvyiMpPVN/nyo2wtvVwY7rt+NLPS4tM5tu731JrkaDUqHkg6d70SJM/8p1YloGmeocftq0m1f7dubNAV3Ze+YSo2ct48fRw2hSShC6IpLT7uTD0TAfLg72XI+OKyMfWTz69qSCfIwZ0pcWdQ3n3991/BwfzFpCdk4ubo72zHp3BM72FR8pVFjP3Xs7JCkpycg15VTQlvLz98fd3YMFP83ntdffxNLKirVrVhEfH09iYmHZe/+DsXw+5TMGD3wcMzMzLC0t+ejjcfj4+CIKpaXoy4C9o5vBdjtH14LfVcTZozv4ZcY75OZkY+/kzosfzMHWoXLXF0lL1qez+IhiO0c30lJKLxt3k5GaQE52JjvXzaXr42/w6MDRXDy5h8XT32DEBz8TXLvZ3b/kPqTdaZfYF2+3OroW5PGfLr3gXJS8ntIrcD3ln4sdd85F94GjuHhyD79Mf5MXPviZ4NpN7/4lRlRlvdeufSfcPTxxcXXj+rUrLPrpRyJv3WTM2Anlzkfxe62jkzO37iMfjkXyUVxpfb6ioqMi2bBuDUNH3H3amII2kXPJNlHULeNTRCYnJxhtQyXfKTv57SRj++T/LvZ2FACrlszjmeFv4ObpzcbVS5j4watMnf0rdvaO5ObmMPPLT3hq2Gu4eXgRGxN11/yUJbWM9l/krdLOj/G8ppTS783JUbPkp1m0ate5Ukb6muKaKlo2nh4yjCHDXuTYkYN8/tk4Jk6ZSt16DahZKwwrK2sWzP+RZ58bgQ4dC3+ag1arLTUecT/y2yXFp01xdnIqtV1yv7RaLbNnzyYsLIzAwMAKf19ZMZ3IUmM6xttSRf8PX3r5NWZO/4ZhQwbdiUMpee3Nt6lbr3AwQbtHOuLh4YmLiyvXr19jwfw5REbe4sOxn1Y4X6KQjpLrLor/nnIFyS9fvkyPHj2IjIwsWFhh8uTJ+Pv7s2HDBqpXL3sRObVajVptOB9ejlqNhaVp5hU0pk37wgBFQGAwAYHVeWXEU5w5dZz6DRuj0+mY8/00HJ2c+d8X07GwsGTrHxuYNP4Dvvh2Ni4ulf96Z0Vs3bKZ9h06GYzoAujT/4mCfwcGVUelMuf7Gd8wZNgIVCqL4l9TwoFdGwzm/H71gxmVl+hS5KizObR7Ez0ef9Ho758Y+g69nnyJmKgbrFk8neULvuKpF0qf/7Eq+fn58v3MGWRkZLB7z16+/noqX3zxuUkC5RWxaNV6tu49wMzxY7C0KHldaDQaPv76e3Q6ePfF5yr0t/bt3MSCWZMKfn5r7LcV+r67adG+O2ENm5OSFM/mNYv4/ssxfDRlXsGUKr0HjijYNyC4FjnZ2WxavahCQXJT+ejtV/l8xmwGPP8KZkolodWD6NS2NReuXL37wcCWHXv4ctawgp/f+WSqqZJ6VznqbObO+Iwatevz6rsT0eXlsWHNYr6aMIoJX/+EhaUV82ZOomX7btSqWziaVaPJZfiTjxT8XJV5yPfMiLfpP3gE0ZER/LbwexbPm8awl98rsd/fO/9g9bK5vP3Rl3c6XJkPLI06nX7+yGYtWtG7n75eCKoewoVzZ/hj47oSQXK1Ws2undt4ctCQB5bG0thaWbDsk1fIys7hwPmrfP3bZvzcXWhSMwjtnbc+HmlYi2e66BfRqlnNmxNXIlix85BJguTlZWtlydIJb5KVncPBs5eZunS9Ph+1C9tMTWtXZ+mEN0lOy2D1zoO8//1iFn7ymkmnjikvc3NzPhr7CdOmTWXQwAH6EWCNwmncpCkUeRvnl0ULyEhP53+TPsfBwYH9+/7m88mf8fkXUwkM+uecnwft6J71rJj3acHPw9+bZdK/Vz2sGaMmryQjLZkD21ewaPpo3piwtEQg+H4c27uONT99WvDzc6NNk4f8t7vCGnekTfehAPgE1Cbi0jEO/PVrhYPkh3ev59c5hQHRl8ZU/tSRpnZs7zpWFzkXQ0f/YJK/U/RctO2ubw/6BNTmxqXjd85F+YLkpnCv9V7X7oWL4wUEBuPs4sq4D0cTHR2Jt/c/72Heti2baGekz5cvIT6O8R+/T6s27en6aK8HnLp7p7szr3WfJ5+jWesOALz01lheG9qHA3v+olP3fixbMAsf/0DadHi0KpN6zzQaDdOmfIwOHcNfNf4G5D+BsbIRXD2E8+fO8MfG36lbrwGOjk68++En/DDzWzb8vhqFQkHb9h0JDglFqfh3BBK/+/57rt+4wVdffVXVSSnT+t/XcPH8OcaOm4i7hydnTp9k9vczcHFxpeGdmQUe7V5YlgODgnF2duHjD98lOjoKb+/KX7xaiP+ycgXJ33jjDapXr87+/ftxcdE/WU1ISOCZZ57hjTfeYMOGDWUeP3nyZMaPN1w46eXXR/HqG++U2NfewRGlUklysYVDkpOTSl1Z2cnZpcT+KWXsD+Dl7YODgyPR0ZHUb9iYUyeOcuTQPhb+uq7gKXD1kBqcPH6YHVs30//Jp8vMY1EO+XkoNiIgOTkJZ5ey8mBkfyN5OHP6JJG3bvLumNIX2clXo2Zt8vLyiImJwc/P/677N2j6CEGhhVNGaDQ5AKQmJ+DoXLhid1pKIn6BNUocD2Bn74xSaUZqiuET97TkBByc3Ersf3T/VnJysmnR3njDLn/eaC/fIGztHPnq42H0fPxFg/TcDwcHhzvnJ9lge3JyMs4uFRtlpVKp8PHRV1yhoaFcvHSRNWvX8ubrr1foe4tzsrfHTKkksdiikIkpqSVGlxe3ZO0mflm9gW/HvUdIYMlrIj9AHhOXwPTx71d4FHnDZu0IrlE4MlWTW3hNObkUXg+pKYn4Bxm/puztnfTXVPFynpKIg7Nhh9/G1g4bWzu8fKpRvUY9Xn2mA0f2b6dFO+MN7uAadfn9t7nk5ubc04MkYxwdHDBTKkss0pmUnFLqopz3wtfbi+mTxpGVnU1mZhauLs58+sW3+Hh63v1goHWzxjjVfKTgZ41G/yplanIizkX/75MTqRYcWvxwAOwd9P/3xRdzSklOLBhp4+jkikaTS0Z6msFI7JTkRBzvnJ+/d/5JXEwU476Yi/LO67Ovjp7IS0915siBXbRs15Wzpw5z9OBuNq5eDIAOHTqtFoVCyRPPvESz1p2qNA/5nJxdcXJ2xccvEDt7ByaOeYm+A583SM++XX8yd8ZnvP7+JOo2LDugk1/vFV9E6u71nrE6w7ngO83MzPCvFmiwj59/Nc6dLfna7L69O8lRq3mkU9cy03o/nO1s9PepYgtRJqSm41pGEFipVFLNQ/9/XrOaN9ei45i/cRdNagbhbGeDuZmSYG8Pg2OCvdw5dvnuU5+Uh5P9nXykGOYjMTUNV8fS3zRTKpVU89RfEzUDfLgWHcv8DdsNguTWlhZU83Sjmqcb9UMC6PP+F6zZdYjne3WoUJoL67l7b4c4OzsbuaaSDa7BkNAazJj5AxkZGWg0uTg6OjHqrdcJDdXfu6Ojo1i/bi3fzfqRgIBAAIKDq3PmzGnWr/+d115/s0L5+jcLa9yBUSFF21f6e1laSjwORdoz6SkJ+ATUqvDfs7SywdIrADevAAJCGzDl7e4c3LGKTn3Kv/BXWHhH/EMKR7rl3anP01MScHAqLJPpKfF4B5R/qjkbeyeUZuZ4+BgOwnH3CebGRePrGdyPuk06EBBamI/8dklaSvG2bgK+gRU/F6ZQ+rmIx8HJ8HryrsD1VNq58PAJ5noFzsU/od7LV6Om/lq9HXX/QXL7Uvp8KffZ50spko+i8vt874z5xOh3JSbE8/GY0dSqXYdX3hh1j2m+0yZKKtkmcnI2/hDNycnVaBvK6c5bofntpJRibbOU5EQCgvX1Q36b39e/8GGpSmWBh5cP8XExAJw9eYSIG1d4po9+3Ssd+oc0Lz3dnb5PPsfjT9/f/cuhjPZf6deZ8bw6FnsDNj9AHhcbw8eTplfafNGmuKYKy0aAwT5+/gGcKzKVSqPwpsyev5jUlBSUZmbY2dkx9OkBeHpVfBq4/HZJ8TcmkpKTS83X/fj+++85ePAgX37xBe5uJeMN5VFWTMeplJiBUyltqfyYjlqtZtGC+Xww9lOaNtNP8RUUFMy1K1dYvWp5QZC8uJq19Pfx6KhICZILUcnKNbHXzp07+eKLLwoC5ACurq5MmTKFnTtLXygt3wcffEBKSorB54WXjAcNVSoV1UNqcvJ4YcNLq9Vy8vgRatYyPi1EjVp1OHXCsKF24tjhUvcHiI+PJS0tFec7lXr+SHdFsSelCoWyYOTavdLnoQYniyxyoc/DsVLTVLNWmEGeAY4fM57nrX9uonpIDYKCyx7BD3D16mWUSiVOjk73lHYra1s8vKsVfLz9quPg5Mb5UwcL9snKTOfapVME12hg9DvMVSqqBdc2OEar1XL+1EGCa5ack3TvttXUb/II9o53ryDzn4Tn3ukMlIdKpSI0JITjJ44bpO/48ePUrlW5nSGdVlcwx1tlUqnMqVk9sGDRTdDn4cjJs9StUfp1sXjNRn5e8Ttffzya2iElR/TlB8hvRsfw7bh3cbSv+GhGa2tbPL39Cz4+/sE4Orty9mThgndZmelcuXiakJr1jH6HuUpFYPVanD1peE2dO3mIECPXVD4dOtDp0JRxDiKuXcDWzqHcAXLQn48a1YM4crJwfkOtVsvRk6epU9N44P9+WFtZ4eriTFp6OoeOn6R183ubl9/GxhovH/+Cj69/EI7Orpw5Ufh/n5mZzpWLZwgt4/8+KKSWwTFarZYzJw8RUkt/TFBILczMzTlT5JxG3bpBQtxtQmvqH5Dk5GSjUCoN7rEKpQIUioKRauO+mMtn0xYVfB5/6kWsrG2YNP0XOnXvX+V5MEan1addU+Se9PfOP/hx+v949Z2JNGraptRj8xXUGcXqvVPHj1KzVh2jx9SsFcbJEvXeEWrc2V+lUhESWovIW4avg0ZF3cLdo+RDlq1/bqRp81Y43mNdcS9U5ubUDvDhwLnCNx+0Wi0Hz12lfvW7P7TNp9PpyNFoCr4zLNCXGzGG0wfciEnA27XsB4TlpTI3p3agLwfPXi7YptVqOXj2MvWr3/tbQlqdjtzcstcI0Wl15ORqyp3WfCqVipCQUE4Uq+dOHD9OrVrGg5e1aoVx/Ljh4lzHjh01ur+trS2Ojk5ERkZy+fIlmt9Zo0adrW9LKRWGzU2lUllQf/9XWVnb4nYnaO3mFYCnb3Xsndy4dOZAwT7ZmelEXDlJQKjx9lVF6HQ6g/tUeVha2+LmGVDw8fANwd7RjStn9hfsk52Vzs2rJ6kWUv48mJtb4BdUl7jb1wy2x9++jpNbxYMDVta2uHtVK/h43WnrXjxleC5uXD5FkAnORWUo7VxcNnIuAkIalvvv5J+L+GLnIq6C5+KfUO/lu3ZVf293Lsdbw4V9vuL91qP32ec7bDTfZfX5EuLjGPv+KKqHhvL62+8VDEC4G32bqCZnTh42SPOZE4dLbe+E1qrL6ROHDbadOn6Q0Fr6/T08fXByduVMkX0yMzO4cvFswT5BIbVQqSwKprkDfb8jLjYaNw/9NIJvfTCJKdMXMnn6AiZPX8ALr38AwCefz6JLzwH3lD9jeS2adq1Wy+kTR6hRq7S81uH08SMG204eO1RwneWne9qUj4mOusnYz77F3qHy2h+muKZUKhUhNWqWLBuRN42WDQdHR+zs7Dh5/Cgpyck0a9Gqotkq0v8uXOehMvrfOp2O77//nr/37WPK5Ml4lXNKSmP0bakanChxLo5Rq5RzUatWGCeLtaWOHztSsH9engbNnWn4ilKaKQv6FMZcvaKfu7889ykhRNnKNZLc0tKStLS0EtvT09NLffWr+PGWxaZWsbDMKHX/x/o9wYypkwkJrUlojdqsW7sCdXY2HbvoF6mc9vUkXF3deGaofnqOXr0H8PGYN1m76lcaN23Bnl1/ceXyBUa+PhqArKxMfluygBat2+Hs7MLt6CgWzp+Nl7cvjRrrXxOsWSsMWzs7ZkydwhODh2BpacmWzeuJjYmmcdP7X5G+T7/HmTb1c0JCaxBaoxbr1q4kW51N5y7dAPjmqym4uroxZJh+6ofH+vTno/ffZs2q32jStAW7d27nyqWLvPq64aiAzMwM9u7exbARI0v8zfPnznDxwnnq1W+ItbU158+fZf6Ps2jfodN9z6ueT6FQ0Knn02xaOQcP72q4efjy+7LvcHJ2p2GzwpFu33z6Ig2bd6RDd/2UFZ0fe5afZ35MQPUwAkPq8teGxeSos2jVoY/B98dGR3D53FFe+3Bmib996uhu0pITCAipi6WVNdE3r7By0bdUr9UQN4+KvQ7Zv18/vpo6ldDQUGrWqMHqtWvJVmfTtUsXAL786mtcXV15fthQQL9wR0SEfpSiRqMhPiGBK1euYG1tXTByfP5PP9O0SRPcPdzJysxi+44dnDx1is8mTqxQWksz8LFufDZjDrWqBxEWGsxv6/8kW62mZ0f9nIUTp/+Im4szLz+jf63ul9UbmLtsNePeeglvdzcS7oykt7aywsbaCo1Gw0dffcfFqzf44sO30Gq1Bfs42NmhUpXr9lGCQqGgy2ODWbd8Hp4+/rh5+LJ6ySycXdwJb/5IwX5ffPwy4S0eoXPPgQB07fM0c6d9SmBIGMGhdfhz3RLU2Vm06aR/bTb29i0O7tlC3YYtsHd0JjEhho0rf0ZlaUX9xq0BOH5wFykpiVSvUReVhSVnjh9g/YqfeLTvsxXO15N9ejJ52ixqhQRTKzSEFes2kpWtpnvn9gB89s13uLu68OKQwYB+sc/rN2/d+Xce8QmJXLp6HWtrK/y89Q28g0dPoENHNV8fbkXf5oefF1PN14cenR4xmoa7USgUPNp7EGt++wlPH388PH1YsXg2Ti5uNG7RvmC/SWNfpUmLR+jaS3/tdO8zmNnfTiAopDbVa4Sx+fdlqLOzad9J//aHja0dj3TuzeJ507Czc8DaxpaFP35NaK16BUHoug2bsfSnGfz8w5d07fUEOp2OdSsWYGZmRu16+qB/0dFFANcun0OpVOIfUNg5rMo8HD+8l5TkRIJD9fM23oq4ytKfZ1Cjdn3cPfX3gb93/sHsb8fzzAujqF6zbsEc6hYWltg6lN6B7d3vCaZPnUL10BqE1qjN+rUryM7OplMX/RsQ076ehIurO88O1Y+i6tV7AGPHvMXaVb8Z1Hsv36n3APoOGMjXn08grG596tVvxLEjBzl04G8mTvnW4G9HR0Vy9vRJxn46pdT0ldczXVrxyfxVhAX6UjfIlyVb95GVk0Of1vpFjcbOW4GHswNv9NePYJ+3cSd1An3xc3chR6Nhz6lLbNh/nA+eLnw9/rmubXj/x98IDw2kSa0g/j59iV0nLzDnnecrPf35nu7WlnFzfiMsyI86wX4s+XMPWepcerfVL7L08Y+/4uHswOtP6Nsp89dvJyzQFz8PV3I0GvaeuMDGv4/ywZB+AGSpc5i77i/aN6yNm5MDyekZ/LZtH7FJqXRpZvxhz/3q228A30z9ktDQUGrUqMXatasM2iFff/UFrq6uDB02HIDeffoy5v13WLVqBU2bNmPXzh1cvnTRYPT3nt27cHB0xMPdg+vXr/Hj7Fm0aNGK8DuLTfn5++Pt48PMGd/y/IgXcXBwYN++vzl+7CiffGqaurA0ZrY22IYUPsSwCfLDoUEtchJTyL55b2t3mJJCoaDto8+ybfVs3L2q4eLux+blM3Bw8qBuk8IpAn/47HnqNulEm276NxrV2RnE3y58ayIx7haR189hY+eIs5sP6uxMtq35kTqNO2Dv5E5mWhJ7tywlJSmGBi26VXoeWj86hL/W/oCrVwAu7n5sWTEdeycPwhp3Lthv7uRhhDXpTKsuhXlIiCnMQ1LcLaJunMPG1rEg8Nqu5/MsnTmaoJpNCA5rzsWTezh/bAcvfLigUvOQn4/2PZ7hz9WzcfeuhquHLxt/nYmjszv1mnYs2G/mxBHUb9qRdo8+dScfmcQVORcJsZHcun4eGztHXNz0Iy8z0lNIio8mJSkWgNio6wA4OLkZfbuyInnQn4vZuN05F3+umI6DkwdhjQuvpzmTh1GnjHORGBdZyrkYdedcNCs4Fy9++HOF0lwV9V50dCS7d2yjcZPm2Ds4cv3aFebP+Z6wuvUJDLr74CNj+vR7gmlTp9zptxb2+fLz8e1Xk3F1dePZYfp8lOzz/cWVSxd5pUg+QN/n+3v3TqN9voT4OMaOGYW7hydDh48kNaXwTcZ7GZXbo+9gfvhmIsEhtaheow6b1i4jOzub9p31baLvp47HxdWdQc/p17R6tPeTTPzgFTasXkLDJq3Yt3srVy+fZ8RrY4D8ttlAVv/6M14+/rh7erP8lzk4ubjRpEU7AGxsbOnUvS8rl8zF1c0TNw8v1q/SvznYvI2+nHl6+xmkMy1Vny9fv8ASa8bcq559BzLrm88IDq1FSI0wNq79Td/+69wTgO++noiLqxuDh74MQPfeTzJhzKusX7WURk1b8fcufV5ffO19QN8P/GbyR1y7cpH3P/kCrVZb0Nazs3MwWAepvExxTfUbMJCvpkykTj192Th65CCHDuzjf59/U7DPtj834VctAAdHRy6cO8u82d/xWN/H8fWrnGlD+/Xrx9dF+t9r1q5FrVbT5U7/+6uvvsLV1ZVhw/RTRRbvfycY6X9/9/337Nixg08++QRra+uCNVJsbW1LxJ/Ko0+/AXw79QtCQmtSo0ZNfr/Tlso/F998NQUXVzeeKxLT+fD9UaxetZymTZuza+d2Ll+6yKuvvw3oy0HdevX5af6PWFha6KdbOXWS7du28PwL+rIeHR3Fzu1/0aRpM+wdHLh+7SrzfpxFnbr1CQoKrnCehBCGyhXl6tWrFy+++CLz5s2jWTP9a+MHDhxg5MiR9O7du1ITCNCmXUdSU5JZ+stPJCclEhQcwscTvih4LSo+LsZgbqxaYXV5+92PWbJoHosXzMXb15f3x/6PgED9TUSpNOPG9ats3/YHmRnpOLu40rBRUwY/+3zB6FEHRyc+nvAFSxbOY9yHo8jTaPAPCGTMx58RFBxy33lo274DqakpLFn0M0lJSQQFV2fchClF8hCLUlmYh9phdRj93kf8snA+i36ej4+vLx98PIGAQMOg0e6d29Gho90jJV/FVqlU7N65nWWLF5Cbm4uHpxe9+w6gT//H7zv9RXXtOxS1OovFsyeSmZFGSK1GvD72+4I5ngHiYm6Snlr4alGT1t1IS01i3bJZpCbH4xdYk9c/+r7EYo1//7UGJ1dPajdoWeLvWlhYsWfrKpb//BUaTS7Orp40at6Jbv2Gldj3frVv346U1BQWLfqFpKQkgoOD+d+ECQWvpcXGxelHud6RkJjIq6+/UfDzypWrWLlyFfXq1ePLz/WBpeSUZL78+muSEhOxsbUlKCiQzyZOJDy8EabQuXVzklPSmLtsNYnJKYQGVePrsaMLpluJiU8wGLW7+o+/yNVoGPuV4dybzz/Zh+ED+xGXmMSeQ/on30NHG77WOWP8+4TXLf+r08X16PccOdnZ/Pz9JDIz0qhRuyGjPplucE3F3r5Fempywc/N23QlLSWJNUt/ICUpgWpBNRg1bkbB648qC0sunj3GlnVLychIxcHRlZp1GvHRlHkFizyamZvz18bfWDZvKjp0eHj5M+j5t2nfpV+F89SxbSuSU1OZv2Q5iUnJhAQF8OW4Mbg4OenzEx9vUObjExMZ8faYgp+XrVnPsjXraVi3NtM+0y9Om56ZyZxFS4mLT8Te3o72LZsx4plBmJuX/4FFr/7Pos7OYv53k8nMSKdGWAPe+3QaFgb/95GkFfm/b9G2C6kpyaxc8iMpSQkEBNfgvU+/NZiG5OkRb6FQKpg25QM0uTnUa9SCoUXm6fbxC2TU2K9YvWwu498bgUKh1H/PuG8NXs39J+fBwsKSHX+uZfG8b8nNzcXVzYMmLTvw2IDCebz/+mMNeXl5LPjhSxb88GXB9rYdezJqdMkpxvLp670Ulv3yM0lJiQQFV+eTCZ8X1BlxcbEoiow60dd7Y1myaD6/3Kn3xoydaFBntGjVlpdefZtVy5cwb/YMfHz9ee/D8YTVMQzCbtuyEVc3dxreCXRWpm5N65GUlsGstdtISE2npr833705pGC6lduJKQajabLVuUxavI7YpFQsVSoCvd343/DH6da0MM0dw8P46JnHmL9pF18s20CApxtfvjyIRqEBJf5+peWjeQN9Plb/SUJKGjWr+TBz9PMF063cTkg2aJdkqXOYvGgNsYkpWFqoCPR2Z+KLg+jWXD8qValQcD06lvV7jpCcnoGjnQ11gvyZ9+FIqvtWziiodu0fISU1hV8WLSyo5yZM+Kygnosz0g55970PWLTwZxb+/BM+vj589PGnBBa5phITE5g754eCV4c7durMoMGF09GZm5vz6fjPWPDTPCaO/4SsrCy8fXx5e9S7NG1auYst3o1j47q03Lao4Oewr/QL7N5cuIqTwz94oGkpTYfHhpOjzmLF3E/JykwjqEY4L4yZbVAXJsTcJCMtueDnm1fP8MP/CttBv//yBQBN2vVh0MhJKJVmxEZf4/C3a8lIS8LWzgn/6nV55ZOFePndf3v2btr1HEGOOovV88eRnZlKQI1whr37o2EeYiPITCtsI0ZeO8OcSYXrnWxY8jkA4W368sRLkwGo06QLfYeNY8e6H1m3aBLu3kE8/cY0Amve25tU96tT7+fJUWfx64/jycpMI7hmI0Z+8EOZ5yLiyhlmTih8OLdmof6e36x9b55+5TMATh/ezpJZhdMjLpimn7f40cdfpvsTr1RqHtr31F9Pq+aPIzszjUCj5+ImGUXOxa1rZ5gzaWjBz0XPxZMv6deTqduk851zMYffF03C3TuQp9/4tsLnoirqPZW5ihPHj7Bu7UrU2Vm4uXvQsnVbnhhU/sESbdp3ICU1maWLfirS5yuWD6VhPka99xGLF87nl5/n4ePry5gy+nxtH+lIccePHSE6KpLoqEiGDxlo8Ls1G/+6a5pbtu1MakoSKxbPJTkpgYDgUMaM/6ZgMc+EuBiDurlG7fq8+s54lv/yI78u/AEvH39GffS5wSCGxwY8gzo7i7kzp9xpm9VnzPhvDNpmTw17HTOlGd9/M55ctZrqNesw9n8zsbNzuGuay6tVu86kpiSz/Je5JCcl6vM64WuDuELRPl/N2vV4/d1P+XXRjyxbOBsvHz/e+Wgy/nfiCokJcRw5sAeA998YavC3Pp40gzr1wyucZlNcUy1atWXka2+z8rclzP1hJj5+/rz/kWGbMDLyJosWzCU9LQ0PDy8eH/g0vftVLI5QVPv27UlJTeWXRYtITEqienAwE0v0vwvzlZiYyGtFpixduXIlK1eupF69enzxuf5elT/t7/vvv2/wt0a9/XZB8L0i2rbvQEqRmE5wcHU+nTDZoC1VNM36mM6HLF74U0FM58OPxxuci3ffH8vCn+fx9ZeTSU9Lw93Dk2eGPE/3HvoBIebm5pw4flT/cCQ7u+A+NXDwvU//K4S4dwqd7j7nDkE/j9Jzzz3HunXrUN15Opqbm0ufPn34+eefcXS8/1eMzlyu+lE8FWWmKPu16X+L6MyH47WdQJvIqk5ChdlnxVV1EirFRbPSp6f4twhWXL77Tv8CNxX/3YXy/mlszR7cwp2mFBi1p6qTUGG6Ckyv9E8S5WGah7AP2sValTcXflXR7j9T1UmoFLl55ZqZ8R/FxqLiUxb9E2TlmFV1EipFTZeYqk5ChSkU9919/kfKzKvYOkP/BErFwzF1l5VSXdVJqBSWZFd1Eiosl4ejTVjzPqYyFHonL8VWdRL+deqHetx9p3+Zcg0/dHJyYu3atVy+fJmzZ/VzIIeFhRESUvkjUoQQQgghhBBCCCGEEEIIUyn3O/rz5s3jm2++4dKlSwCEhoby1ltvMWLEiEpLnBBCCCGEEEIIIYQQQghhSuUKkn/yySdMnTqV119/nZYt9XNH79u3j7fffpuIiAgmTJhQqYkUQgghhBBCCCGEEEIIIUyhXEHyWbNmMWfOHAYPHlywrXfv3tSvX5/XX39dguRCCCGEEEIIIYQQQggh/hXKtRpPbm4uTZo0KbG9cePGaDQPx+I4QgghhBBCCCGEEEIIIR5+5QqSP/vss8yaNavE9h9//JGnn366wokSQgghhBBCCCGEEEIIU9OikM99fh5GFVq4888//6RFixYAHDhwgIiICIYMGcKoUaMK9ps6dWrFUymEEEIIIYQQQgghhBBCmEC5guSnT58mPDwcgCtXrgDg5uaGm5sbp0+fLthPoXg4nywIIYQQQgghhBBCCCGEeDiUK0i+ffv2yk6HEEIIIYQQQgghhBBCCPHAlWtOciGEEEIIIYQQQgghhBDiYSBBciGEEEIIIYQQQgghhBD/WeVeuFMIIYQQQgghhBBCCCH+zXTImopCRpILIYQQQgghhBBCCCGE+A+TILkQQgghhBBCCCGEEEKI/ywJkgshhBBCCCGEEEIIIYT4z5IguRBCCCGEEEIIIYQQQoj/LAmSCyGEEEIIIYQQQgghhPjPMq/qBAghhBBCCCGEEEIIIURV0OkUVZ0E8Q8gI8mFEEIIIYQQQgghhBBC/GdJkFwIIYQQQgghhBBCCCHEf5YEyYUQQgghhBBCCCGEEEL8Z0mQXAghhBBCCCGEEEIIIcR/lgTJhRBCCCGEEEIIIYQQQvxnSZBcCCGEEEIIIYQQQgghxH+WeVUnQAghhBBCCCGEEEIIIaqCDkVVJ0H8A8hIciGEEEIIIYQQQgghhBD/Wf+YkeSnYr2qOgkVFpNQ1SmoHMOujK7qJFSKoVdfqeokVFjfAS2rOgmV4tip9KpOQoWlJvlVdRIqRXgTp6pOQqVwsK3qFFRcYopjVSehUuzd0ayqk1BhtRv4VnUSKsUY9YqqTkKlOL//TFUnocKULepUdRIqhX9z56pOQoXd+Prvqk5CpWgwvVdVJ6FSfOjxXVUnocI8fP/95QIgrI5TVSehwoZrf6jqJFSKiTHDqjoJleL6pfiqTkKF3Th9uaqTUCn2rPOv6iQI8a8kI8mFEEIIIYQQQgghhBBC/GdJkFwIIYQQQgghhBBCCCHEf5YEyYUQQgghhBBCCCGEEEL8Z0mQXAghhBBCCCGEEEII8Z+k0ynkc5+f8vjuu+8IDAzEysqK5s2bc/DgwTL3X758ObVq1cLKyop69eqxcePGcv3deyVBciGEEEIIIYQQQgghhBAm8euvvzJq1CjGjRvH0aNHadCgAd26dSM2Ntbo/n///TeDBw9m+PDhHDt2jL59+9K3b19Onz5tsjRKkFwIIYQQQgghhBBCCCGESUydOpUXXniBYcOGERYWxg8//ICNjQ3z5883uv+0adN49NFHeffdd6lduzYTJ04kPDycmTNnmiyNEiQXQgghhBBCCCGEEEIIcU/UajWpqakGH7VabXTfnJwcjhw5QufOnQu2KZVKOnfuzL59+4wes2/fPoP9Abp161bq/pVBguRCCCGEEEIIIYQQQggh7snkyZNxdHQ0+EyePNnovvHx8eTl5eHp6Wmw3dPTk9u3bxs95vbt2/e1f2UwN9k3CyGEEEIIIYQQQgghhHiofPDBB4waNcpgm6WlZRWlpnJIkFwIIYQQQgghhBBCCPGfpENR1Un417G0tLznoLibmxtmZmbExMQYbI+JicHLy8voMV5eXve1f2WQ6VaEEEIIIYQQQgghhBBCVDoLCwsaN27Mtm3bCrZptVq2bdtGy5YtjR7TsmVLg/0BtmzZUur+lUFGkgshhBBCCCGEEEIIIYQwiVGjRvHcc8/RpEkTmjVrxrfffktGRgbDhg0DYMiQIfj6+hbMa/7mm2/Svn17vv76a3r27MmyZcs4fPgwP/74o8nSKEFyIYQQQgghhBBCCCGEECYxcOBA4uLi+OSTT7h9+zYNGzZk8+bNBYtzRkREoFQWTnjSqlUrlixZwtixY/nwww8JDQ1lzZo11K1b12RprFCQ/MiRI5w7dw6AsLAwwsPDKyVRQgghhBBCCCGEEEIIIR4Or732Gq+99prR3+3YsaPEtieeeIInnnjCxKkqVK4geWxsLIMGDWLHjh04OTkBkJycTIcOHVi2bBnu7u6VmUYhhBBCCCGEEEIIIYQQwiTKtXDn66+/TlpaGmfOnCExMZHExEROnz5Namoqb7zxRmWnUQghhBBCCCGEEEIIISqdTqeQz31+HkblGkm+efNmtm7dSu3atQu2hYWF8d1339G1a9dKS5wQQgghhBBCCCGEEEIIYUrlGkmu1WpRqVQltqtUKrRabYUTJYQQQgghhBBCCCGEEEI8COUKknfs2JE333yTqKiogm2RkZG8/fbbdOrUqdISJ4QQQgghhBBCCCGEEEKYUrmC5DNnziQ1NZXAwECqV69O9erVCQoKIjU1lRkzZlR2GoUQQgghhBBCCCGEEEIIkyjXnOT+/v4cPXqUrVu3cv78eQBq165N586dKzVxQgghhBBCCCGEEEIIIYQplStIDqBQKOjSpQtdunSpzPQIIYQQQgghhBBCCCHEAyGrKwqoQJD80KFDbN++ndjY2BKLdU6dOrXCCRNCCCGEEEIIIYQQQgghTK1cQfJJkyYxduxYatasiaenJwqFouB3Rf8thBBCCCGEEEIIIYQQQvyTlStIPm3aNObPn8/QoUMrOTn3TqfTsX3NDI7sXE52ZirVQsPp9ew4XL0CSz3m+oVD7N00j+gbZ0hLjmPQ6zOpHW44j3p6Sjxbln/FlTN7yc5MI6BGE3o8PbbM761oPg79MYOzB5ajzkrFOyicdv3H4eRe+t87/fdSTu9bSlpiJAAuXiE06fwqAbXbFexzZv+vXDq6nrjIs+SqMxg+8SCW1g4myYMxqvqtsWzSAYWNPdr4KLK2r0YbE1H6AZZWWLXqgXlIfRSWNmjTElHvXIvm+rkHlmaAQT1c6NLSARtrJeevZfPjb3FEx+WWeYyLoxnP9nYjPMwGC5WC2/G5zFwcy5WbagAGdnehdbgdbk7maPJ0XLmpZsn6BC7dUJskDzqdjl2/T+fYbv015Vc9nO5Pf4qLZ2Cpx+zdNJsLR/8k4fZVzC2s8AtuRMcB7+DqFQxAVkYyu36fwdWze0hNjMbGzoUajTrTvvebWNnYmyQfjzazoGUdc6wsFVyPzmP5DjXxKbp7OrZTuIperSzZeTyHNXtyAHC2V/DJc7ZG9/95UxYnruRVWtqL6tPehnaNrLCxUnL5Zi6LNqUTm1j63+rdzoY+7Q3TGR2vYeysJKP7vzXYkXohFsz8LYVjF3IqNe35dDodBzZN5/R+/TXlExROhyc+LfM+dWjLbK6c/JOk2KuYq6zwDmxE68fewdkzuGCf5PgI9qz9nKirR8jT5BBQuy2PDPgYG3s3k+Rh5+/TOb5bX2f4hYTT427lYuNszhctF9Ub0alYudi5tki5sHehZsPOtO9junLxsNQZT3ZzolMLO2ytlZy/pmbuygRux2vKPMbZwYxnejnTsJY1lhYKbsdr+H5ZPFdv6a/7ZvVs6NLSnmA/C+xtzXj36yhuRJmmTJSmQwMljUOVWFlARJyO9fvzSEy7t2Pb1FXSJdyMfWfz2Hz4wbzwuWz7QRZs2UtCSjo1/Lx4f1B36gX5Gd1329GzzNu0m4i4RDR5Wqp5uDCkSyt6tWhQsE/Dlz41euxb/bswtFtrU2QB0JeLP1bM5MD2FWRlpBFUoxH9n/8Ed++AUo+5cu4wO9bPJ/LaWVKT4xj69nTqNu1ksM8fK77j+L5NJCfextxMhV9QGI8OfJOAkPomy8vduLRpQvDo4TiG18XKx4PDA14h5vdtVZaeu/HoPwCvwc+gcnEh88plIr75moxzZ43uqzAzw/vZ53Dt3gMLN3eyb0Zwc9Z3pB7Y/4BTrb+mtq2awaEdy/X9gdBG9B46Drcy+gPXzh9i98b5RF3X9zOefnMGYY0N+xkfDalt9NhHB75D257DKzMLRjl26YVzzwGYOTqTE3GN2AWzUF+9WOr+To/2wbFTT8zd3MlLSyX94B4Sfv0ZXW7ZbePKNvBRJzq1tMfWSsn562rmLI+/a53h4mjG071caFTbGkuVvs74blkcV2/mYKaEQT2cCa9tg4erOZnZWk5dzGLx+iSSUk3THjSmZ2srWtezwNpSwdUoDcu2ZBGXXPr9v0crK3q2sjLYdjshj4k/3WNFU0EPQ3sQYNme4yzYfoT4tAxq+Lgzpl8H6gV43fW4TccuMGbRRjrUrc63z/cu2D5r8z42H7/A7eQ0VGZmhPl58FqP1tQP8DZJ+ovq1MiMpjXNsLKAG7E6fv9bQ0LqvfWX2tU3o1sTc/ae0bDxgP66t7aATuHmhPgqcLJVkJENZ2/ksfVoHmoTFfsBne3p0NQWW2slF2+omb8mmZiE0sth/072DOhs2EaNis3l3W9iC352tFPyVA9H6oZYYmWpIDpOw9rtaRw6k22aTADDnw7ksa5e2Nuac+pcKl99f4lb0Vml7r98bnO8Pa1KbF+1IZKpP1zGy8OSFfNaGD324yln2L43vtLSLoQoVK4guVKppHVr03V27sWejXM5sGUR/UZMwcndj79WTWPR1BG8+tkGVCpLo8fkqrPw8q9FeNsBLJv5eonf63Q6ls54FTMzFYNf/x5La1v+/uNnFnz1PK99th4LS5tKz8ex7XM5uWcRnQZNwd7Fj4N/TGP9nBEMencD5qXkw87Rk5Y9RuPoFgDoOH94DZt+fpUn316Fi1coAJqcbKrVaku1Wm3Zv/HBTn9jXqMhVu36kP3XcvJuR2DRqB22/V4kfcEUdFnpJQ9QmmHbbyTarHSy1v+MNiMFpb0LOnXplYop9OvsRM92jkxfHEtsQi6De7rw8cs+vDkpglyN8caGrbWSSW/5cfpSFhNnRZGanoe3h4r0rMKKPSo2h7nL44hJyMVCpeSxDo588ooPr068QWp65QdC9v0xh0N/LeKxYVNwcvNj59ppLJ02nJfGbyz1moq4eJDGHZ7GJ7Ae2rw8tq+eypJvh/PS+A1YWNqQlhxLWnIsnR5/H3fvEFISI9n0y6ekJ8cyYOT0Ss9Dx3AV7RqoWLI1m4RUHd2bWzCytzVTlmSiuUvfxd9DScu6KiLjDXdMTtfxyfwMg20t65jToZEF5yJM0yHq3sqazs2smbc2jfjkPPo+YsuopxwZOyuxzHxExmr46pfkgp+1pVwmXZpbo9PdW0O4Io5sm8PxXYvo8vQUHF392LdxGmt+GM4zY0q/piKvHKR+m6fxrFYPrTaPfRum3jlmAypLG3LVmayZ9TzuvrXo/+oCAPZvnMa6OSN58q3fUCiVlZqHfZvncGjbIno/f6dcrJnGkm+HM3JC6Xm4cfEgTfLLhVZfLhZ/M5yREwrLRXpKLJ2feB837xBSEvTlIi05lsdfrvxyAQ9HndGngwPd2zrw3dI4YhM1DHzUmY9e9GTUF1Fl3msnvu7NmctZTJoTQ2qGFm83czKyCguHpYWC89ey2Xcig5FPmqZjXZY2dZQ0r61k9d48ktN0dGxkxrOdzflurQbNXW71Pq4KmoQquZ1o+vKc749Dp/l6xR989FQv6gX5snjbfl6Z/gtrx7+Gi4Ndif0dbK0Z0aMdgV5uqMzN2HXyIuMWrMHF3pZWdUIA2PrFaINj9py+zPhFa+kcbjwwWFm2r5vHnj8WM2jkJFw8fPlj+QzmTHmRd7/8HZWF8XKRo87CJ6AmzR7pz4Jv3jS6j7t3AP2GfoSrhx+5uWp2bVzInMkvMOabTdg5uJgyS6Uys7Uh9eQFbv68kiYrvquSNNwrl46d8X/tTW589TnpZ8/g+eQgakz9llODB6JJLvng1/fFkbh27cb1zyeTHXEDh2YtCJ00hXMjXyTzUumBXFPYvWEu+7b8woAXJuPi7seWldP5+csXeHPy+jKvKe9qNWncrj9Lpr9hdJ8x03cZ/Hzx5G5WzxtLnaZdKz0Pxdm1aIfb0y8QN38m2VfO4/RoX3zHTOTGOy+Sl5pSYn/7Vo/gOnAYsXO+JeviWSy8ffF8aRToIH7xHJOnN1+fjo50b+fAzCXxxCbkMqi7M2NHevH2lMiy64w3vDlzKZtJP94mNV2Ll7uKjEz9zdjSQkGwnyUrtiRzIzIHWxslw/q58P4IT8ZMjXog+erSzJJHGlmyaFMG8SlaHmtjzWuP2zLxp7Qy24hR8XnM+K2wP5X34KqNh6I9uPnYBb5au4uxT3SiXjUvFu86yss/rmLtmKG42pfe149MTGHq77sID/Yt8bsAd2c+6N8BP1dHsnM1/LLzGC/PXsW6D4fhYlf58YN8beuZ0TLMjJW7NSSm6egSbsbQbiqmrcq5a3/J101B05pmRCcaNlDsbRTY28Dmg3nEJmtxslPQp5U5DjYKlm4v+8FUefRqZ0e3VnbMXp5EbJKGJ7o4MOZ5N977JobcMv7czdu5TJ5XGCTOK9bOevlJZ2yslHy9MIG0DC2tG9rwxlMujJ0Zx43oyo/2Pz3An8d7+fLZt+eJjslmxNOBTJ1Qj2deOUROrvFC+sKooxS9vIMDbPn2fw3YvicOgNh4Nb2f/dvgmN6P+vBUPz/2H0ms9DwIIfTKVeu8/fbbfPdd1TXMdTod+7cspN1jI6kV3gkv/5r0f+Fz0pJiOX90a6nHhdZvR6cBb1G7sfHFRhNirnPrygl6DRmHb3A93LyD6TXkUzQ52Zzav8Ek+Ti5eyGNO48kqG4n3Hxq0mnQ52SkxnLtdOn5CKzTkYDa7XFyD8TJPYgW3d9GZWHD7RsnCvZp0O45wju+iGe1BqV+j6lYhrcn9/R+cs8eQpsYQ/a2Feg0uajqNDO6v6pOMxRWNmStm09e9HV0qUnkRV5BG/9gGqn5erV3YsWfSRw6lcGNqBymL4rFxdGMZvWNjz4G6NfZmfhkDTOXxHI5Qk1sooYT57OIKTK6ZfeRdE5ezCImQcPN2zn8tDoeW2szAnyMNyYrQqfTcXDrQtr0fJmaDTvj6VeL3sO+IC05lgvHSr+mBr85jwat+uPuE4qnfy0eGzaF1MQobt84A4CHbw0ef3kGNRp0xNmjGoG1WvJI37e4dPIvtHmV32Bq30DFn4dzOH0tj+gELUu2ZuNgq6BecNnP9SxU8ExXK377S01WsYH6Oh2kZeoMPvWCzTl+WUOOiUZGdG5mzfrdmRy/mMOt2DzmrU3DyV5JeK2yz32eFlIzdAWf9KySjSt/TzO6trDmp3WmHT2k0+k4vmshzbq+TPV6nXHzqUXXp78gIyWWq6dKv6b6jpxHWPP+uHqH4u5bi85PTSEtKYrYW/prKuraUdISI+n81BTcfGri5lOTLk9/TszN09y8VLmjBnU6HQe3FSsXz9+9XDz11jwatO6Pu69huYg2Ui5cPKoRVLslj/QzXbl4WOqMHu0cWLU1mcNnsoiIzmXm0jicHcxpWrf0jmSfjo4kJGuY9WsCV27mEJeo4eTFbGISit5rM1i5JYVTF003SqgsLWor2XVSy4WbOmKSYdWePOxtoFa1sqehszCHAW3N+H1/Hlk5Dy7asWjrPvq3Cadv60ZU9/Fg7NO9sLJQsebvY0b3b1oziI6NahPs7Y6/uwtPd2pBqK8nxy4XviXm5mhv8Nlx4jxNawTh5266gLJOp2P35kV07vsSdZt0xKdaTQa9PJnU5FhOHy59hHXthm3p/uSb1GvaudR9wlv3oka9lrh6+uPlF0LvZ94jOyud6IgHG7AtKu6PXVwc9y0xa0sv8/8UnoMGE7duLfEbN5B9/To3vvwcbXY2br16Gd3ftdujRC9aQMr+faijoohbs4rkffvwGvTUA023Tqdj7x8LeaT3SMIad8KrWk2eeGkKacmxnCujn1GzQTu6PP4WdZoY72cA2Du5G3zOHf2LoNrNcfHwN0VWDDh370fq9s2k7tpCTuRNYufPRKdW49DeeIDeKrQ22RfPkvb3DjTxsWSeOkbavp1YVa9h8rQW1bO9Ayv/TObw6Ux9nbEkDmcHM5rWK73O6NvJkYTkPL5fFs/liBxiEzWcvJBVUGdkZuuY+MNt9h3PICoul0s31MxbmUB1f0vcnMweSL46hFuyeX82J69oiIrXsmBjBo52ShqEqMo8TquF1ExdwSfDSBvRFB6G9iDAop1H6d+iLn2b1aG6lytjH++MlcqcNQdPl3pMnlbLh79s4uVuLfFzdSzx+x6Na9GiRgB+rk6EeLnxTp92pGfncCnKtCN9W9cxY8eJPM5FaIlJ0rF8lwZ7a6hdrewQj4U5PNnenDV7c0v0l2KTdSz9S8P5m1oS0+BqtI4tR/KoVU2J0gSz6j7a2o4129M4ci6bm7c1zPotCSd7MxqHWZd5nFarIyVdW/BJzzSMkodWs+DPfelcvZVLXFIea7ankZGtI8i37PJVXk/09mXhbzfYcyCBK9cz+N8353F1saRti9IHbSSn5pKYXPhp1dSVW1FZHDudciePGPw+MTmXdi1c+WtPHFnZssSkEKZSriD5O++8w4ULF6hevTqPPfYY/fv3N/iYWlLcLdJT4giu06pgm5WNPb7V63Pz8vFyf29erv617KJPwpVKJWbmFkRcOlLu7y1NauItMtPi8A8tzIeltT2e1epz+8bxe/oOrTaPS8c2kJuTiVdAw0pP431TmqH08ENzs2gHUocm4iJm3oFGDzEProsm+gZWHQZg98J4bJ95F4umneABzm/v6WqOs6M5Jy5kFmzLzNZy6YaamoElX4PK17SeLVci1LwzzIufPgvkq/f86dyy9CkKzM2gaytHMjLzuB5Z+dOtJMffIiM1jsDaxcpGUAMirxoPfBijztIHXq1sSzYE82VnpWNpZYfSrNzr/xrl6qDAwVbJxZuFQyCyc+BGjJZAr7JvWY+3t+TcdQ0Xb919ZLifuxI/dzMOnDVNhNzNSYmTvRlnrxVO95Cl1nE1MpfqvmX/n3m6mPH1Wy5Mec2FF/ra4+JgmG8Lc3ixnwOLN6WTmmHazlFqwi0yU+Pwr1HsPhXQgOjr935N5eRfUzb6aypPkwMKBWbmFgX7mKksUSiURF2t3Pttcry+zggqXi6CG3CrHOXCuoxyoTZRuYCHo87wcDHH2cGck0UC2VnZOi5HqKkRUPrDoyZh1ly9qebtIe7M+dSfz0d506l5ydHOVcXZTj/66mp0YadFnQuRcTr83cuuy3o2N+PSLS1Xox9cgDxXo+FcRBTNaxe+7q5UKmleK5iTV2/d9XidTseBc1e5HpNAeKjxKU0SUtPZc+oSfds0qrR0G5MYe4u05HhC6xa+kmxtY0+16vW5celEGUfeH40mh/1/LcfKxh6fajUr7XsfVgpzc2xr1CT18KHCjTodqYcPYVenntFjlCoLtGrDKZJ0ajV29R/sgA99PyOe6nVaFmyzsrHHL7g+EZcr75pKT4nnwomdNGk3oNK+s1Rm5lgGhZB5+njhNp2OzNPHsQqtZfSQ7EvnsAwKwTJYHxQ3d/fCtkETMo4fMrq/KXi46uuMog8/M7N1XL6hpmZgGXVGHRuu3FQz6jkP5k6oxhejfejUouxp0GyslWi1OoM3lEzF1VGJo52SCzcKH/Rm58D16DyCfMpuP7g7K/lspAPjR9gztIcNzvYPpr/0MLQHczV5nLsVQ4sa1Qq2KZUKWtSoxsnr0aUeN/vP/Tjb2dC/Rd17+hsr953C3sqSGj7ulZJuY5zt9e2OK1GG7Y5bcTqqeZR9TTzW0pwLN7Vcibq3doeVBahzQFvJzRR3ZzOcHcw4c7mwT5yl1nHlZg6h1SzKOBI83cyZ+YEX37zrySsDnXF1NHy4dSkihxb1bbC1VqBQQIv61qjM4dy1yu9/+3ha4eZiyaHjhW9IZWTmcfZiKnVr3dvUhebmCrp28GTD1tul7lOzuh01qtuzfkvp+4iK0ekU8rnPz8OoXL34N954g+3bt9OhQwdcXV3ve7FOtVqNWm14g8rNsSj19cXi0lP0r6DYObgabLdzcCM9pfxPbN28g3F09WHriqk89tx4VJbW7PtjAalJt0lLjiv395YmM03/ndb2hvmwtnMjM63sfCREX2DljMHkadSoLGzoPnQmLl4hlZ7G+6WwtkWhNEOXaTi6VZeZhpmLh9FjlI4uKP1DyD1/lMy1c1A6uWHVYQAozcg58OeDSDZODvqikJJWbIqONA3ODqWPKPF0NadbGwfWbU9m5ZZEQqpZMXyAG5o8HTsOFv4fNK5jw6ihXliqFCSl5jH++yjSMiq/EZ6Rqr+mbItdU7YOrqSn3lvZ0Gm1bPl1En7Vw/HwNT5aKDMtkT0bvqdh24EVS7AR9jb6+0l6pmFLLD1TW/A7YxqFmuPrruSb3+5tmp7mYSpuJ2q5fts0nSFHO31gu3gQOzVDi4Nd6cH+q5Ea5v+eyu2EPBztlPRuZ8uY55z4ZHYS2XdGmQ7sasflW7kcv2j6+Zbz71M2xa4pG3tXMu/jmtq1ehLeQeG4euuvKa/AhqgsrPn79y9p2WsU6HTsXf81Om0emamVe7/NrzNsi9UZtvauZNxjnaHTavlz2ST8QsouF7vXf0+jdpVfLvTf/++vM5zu3E+L32tT0vIKfmeMh6uKLq1UbNiZwuptKVT3t2BYPxc0eTp2Hs4o9bgHxc76zn2r2CD29OzC3xlTN1CBt4uCHzc8uDlwAZLSM8nT6nC1N3zQ4Opgy/XbpV9LaVnZdH3/a3Jz81AqFXz4VE9ahlU3uu/v+45jY2VBp0amnWol7U4Ztnc0HK1l5+ha8LuKOHt0B7/MeIfcnGzsndx58YM52Do4V/h7H3bmjk4ozM3JTTR8JTw3MQmrgECjx6Qc3I/XoMGknTiOOvIWDo2b4tT+kUqfbuFu8q8bO8di/QxHN9IrsT9wdM8aLK1sCStj5HllMbN3QGFmRl6K4TQ3mtRkbHyMj2JP+3sHSnsH/Md9CShQmJuTvHUDSb//ZvL05nOy19cLyenFp9DLK/idMR6u5nRtZc/6Hams2ppMSDVLns+vMw6VnPpRZa7gmV4u7D2WQZba9A8sHWz19UJqsdGvaZnagt8Zcz1aw6JNecQk6tuIPVpaMWqwPf/7KdVk80Xnexjag0kZWXfqPsO3EFztbbgWa3ztn6NXI1l94Ay/jX6mzO/eeeYq7y/aSHZuLm72tvwwsj/OdmWPhq4I+/x2R7E3CdKzdWW2O+oFKfFxVTBr3b298WhjCY80NOfQxcpvp+SX4ZRi5TslPQ8n+9Lv+1du5jB7eRLR8Rqc7M3o38meT15y4/1vYwv6StOXJPL6YBd+/MQHTZ6OnFwd3/6SWOZc5+Xl4qwP6CclGxbCpOScgt/dTbsWbtjZmrNxW+kB8F5dvbgWkcHp86nlT6wQ4q7KFSRfsGABK1eupGfPnuX6o5MnT2b8+PEG2wY8/wmPD//U6P4n961j3YJxBT8//dYP5fq7d2NmrmLQa9NZO38sU15rjlJpRnBYS0LrtUNHxRtMF4+uY8eKwnz0HF7+fDi5BzFw1GrU2WlcOfkH25aNoe/Li/4RgfL7plCgy0wne9tvoNOhjb1Fjq0jFk06mCxI3q6JHS8NLAzafza7fFO7KBQKrtzMZvF6fSfw2q0cqnlb0K21o0GQ/PSlLEZ/fhMHOyWdWzoyepgXY76+VaJRcL9OH/idjb8UXlMDX5tdoe8D2Lx0PHFRlxjy3hKjv1dnpfPrjJdw865Ou8deq/DfC69hzpOPFD4gm7P+/ueid7JT0K+tBbPWZt91Dj4AlRk0rmHOn4cqL8jcvK4lQ3oWjlKatrTk/J734vSVwjTdis3jamQKX7zhQpMwS/Ycz6ZBDQtqB6oYP8d4Y76izh/+ne2/FV5Tj71Y8Wtqx4rxJERf4vE3C68pGzsXug+dxvbln3J89yIUCiU1wnvi7lfnvh+8Fndqv2G5GPR6xfOwaYm+XDxXRrlYNuMl3H0qp1zAw1FntAm35cXHCzvUk+fGlOt7lAq4ckvN0k3JAFyPzKGalwVdWtpXSZC8XpCCx1oUBmgW/3X/93IHG+je1IyFW+4+Z/k/ha2lBb+OHUmmOoeD56/x1fI/8HVzpmnNoBL7rt17jB7N6mOpqtxXm4/uWc+KeZ8W/Dz8vVmV+v3FVQ9rxqjJK8lIS+bA9hUsmj6aNyYsxb5YAFVUXMS0bwh87wPqLV4GOh3ZUZHEb1yPe0/j07NUluN/r2PtT58W/DxktGmvqXxHdq2iQcte9zxI6EGzrl0Pl95PEvvT92RfuYDK0xv3Z18ir+9gEtcsNcnfbBNuy0tF1pSYPKe8dYaCKzfVLN2obytdj8zB30tF11b2JYLkZkoY9Zw7KGDOctNMj9G0torBXQoDs9+vMrJG0z04e60wsBkVr+V6dAYTX3QgvKYF+05X7sCJh6E9WFEZ2Tl8tGQz457sfNeAd9MQf34b/QzJGVms3H+Kdxdu4Jc3B5c5z/n9aBCspE/rwtDNwi33/1TE0RZ6tTBn/ubce+ovWapgSFcVcck6th2teHC5VUNrhvd1Kvj5ywUJ5fqeExcLB1vevK3hys0cpr3vRfP61uw8rH8r/PEuDthYK5k0N560jDya1LHm9cEuTJwdx82Yik2J2KW9B+++Wjhg5r0Jpyr0fQA9u3hx4EgiCYnGy7GFhZLO7TxZ8OuNCv8tIUTZyhUkd3FxoXp14yOH7sUHH3zAqFGjDLatPVr6U7aaDTvgG1y/4Oc8jf7mkZ6agL1TYaAzPTUeL/+KjVjyCazLyxPWkJ2ZRp4mF1sHF36c+CQ+gXd/vepuAsM6MHBUyXxkpSVg61CYj6z0eFx9ys6HmbnFnUXYwMOvLnE3T3Nyz0IeeXxChdNZEbqsDHTaPBQ2hq80Kmzs0WYYnztZl5GGTpunnzT6Dm1SDEpbB1Cagbbyn/gePJXBxes3C35WmesbYY72Zgar2jvZm3PtVumvZSWnarh127AyuxWTQ4sGhqPz1Dk6bsfncjseLl6PZebYanRq6cCqLRULdIY26MiIoMLXkPOvqYw0w7KRkZqAp7/x12mL2rxkApdO7mDIu7/g4FxylXd1djpLp43AwsqWJ175DjPzigc/zlzT8FVM4f+5uZn+XNjZKEgtMprczkZJVLzxa8HPXYm9jZLRAwsbsGZKBcE+StrUV/HurIyilxcNQsxRmcOh85U37ObExRzGRxaOmDO/c0052CpIKdIXcrBVcvP2vTfOstQ6YhLz8HDRB+RqB6pwdzFjxnuGoyZfedyBixG5fLmofMH5fMF1O+IVUPKaykxLwNax8JrKTEvA3ffu19SOFRO4dnYHA17/BXsnw2sqoFYbhn68laz0RJRKcyxtHJj7cWsc3HpUKA81GnbEN7hIHu5MpZVRrM7ISCtHuXB5MOUCHo464/CZTC7dKLyHFr3XJhcZTe5ob8b1yNI7+EmpedyKMSyvt2JyaV7fdAtileXCTR2RRdaeMLsz4MnOCtKLPOezs4LbScYfsvu4KrCzVvBSr8KmmJlSQYCnjma1lExcrMFU6/I629lgplSQkGYYqElIzcDNsfRpbJRKJdU89MHhWv7eXIuOY/7mPSWC5Ecv3eB6TAKfv/BEpac9rHEHRoUUTteh0eivi7SUeBycC19tT09JwCfg7uX7biytbLD0CsDNK4CA0AZMebs7B3esolOfFyr83Q8zTUoyOo0GlYvhfPQqF2dyE4wHRjTJyVz+8H0UFhaYOziSGx+H38uvoo4y7Ro1tRt1xL964b1Wc6fOSE9JwKFoPyMlHu+Aynkz4vqFw8RHX2PQq6ZdKDlfXloqurw8zBwN34Iwd3BCk2J8ATjXx58lbc9fpO74A4Ccm9dRWlrhMfx1EtcuwxQ3qMNnMrn8VWRh+u7UGU52ZiQXbZ/bmXE96v7qjMiYXFoUW2dIHyD3wM3ZnPHf3zbZKPKTl3O5Hl3YDzK/84zVwUZJakZhvuxtlNyKvfd+T5ZaR2xSHu7Olf+2xcPQHizO2db6Tt2XabA9IS0TNyPB7JsJyUQlpvLGvLUF27R3rvvwd75l7Zih+Ls5AWBjqaKauxPV3J2oH+jNY5N+Ys2B0wzvbHxNrvt1LkLLzbjCa76gv2StIK3IaHI7K0WJxTjz+bgqsbNW8GqfwnaqmVJBoJeCFrXNGLcgp6BYW5jDc11VqHNh8bbcSplq5ejZbK7cjC2RB0c7M5LTCtPsaGd2X4trZmbriI7X4OWqb095uJjRrZUd730TQ2Ssvq0WcTuNmoEWdGlpx/w1yRXKx56DCZy9eLjgZwuVvvw5O6lISCo8R85OFly+evcHYp7uljRp4MxHk8+Uuk+H1m5YWSrZ/Ff5HhwKIe5duYLkn376KePGjeOnn37Cxub+O6iWlpZYWhqOmlBZlH7ntbS2w9K6sNOm0+mwc3Tn6tl9eFfTN1azs9KJvHKSph0G33d6jLG6E+RNuH2dqGun6djP+Cr198PCyg4LK8N82Ni7c+vSPtx89fnIyU4nJuIkdVreXz50Wm1B46VKafPQxt7C3D8UzZX8BVAUmPuHknNij9FD8qKuoaoVDijgzoh9pZM72vQUkwTIAbLVOm4Xey8xKUVD/Ro2BYEaaysFoQGWbN5TetDx3NVsfDwMH/D4uFsQl1R2xa5UKgqCRRVhaWWHZbFrytbBnevn9hU8MFJnpRN57QTh7Uu/pnQ6HX8snciF41t4dvQinNxKvnqrzkpn6bThmJlb8OSrs0pdxf5+qXNBnVK0/OtIzdBSw8+MqHh9g8lSBQGeSv4+bfz/9dKtPD5fYtjgHdzJktgkLduO5pboxzUPU3HmWh4Zlbi+X3aOruAVv3zJaXnUDrLgZow+amZloSDYV8WOI/f+hy1V4OFsxr6T+kDjxr2Z7D5mePyEkS4s+zODE5cqPs+e0fuUgzs3L+3D3e/ONZWdTsyNE9RvXfY1tXPlRK6c2sKA1xbh6Fr6omTWdvogys2L+8hMTyC4TscK5cFYubBzdOf6+X14VStSLq6eoPG9lItjW3j2nUU4uxsvF0u+1ZeLgZVYLuDhqDOy1Tqy1YYPhZJSNdQLteLGnQCHtaWCkGqW/Pl36YvQXriejY+74cMHH3dz4pIqf4HUe5GjgcRiyU3L1BHsreR2UuF9y9ddwaGLxjurV6N1fPe74T2tbysz4lNgz5k8kwXIAVTm5tSu5sPBc9fo2FB/LWm1Wg6ev8qgDvfeodfqdORoSp6D1XuPElbNm5r+JR8qVZSVtS1W1oWBLp1Oh72TG5fOHMA38E6bMDOdiCsnadm58qc+0ul0BUFUUTqdRkPGxQs4NG5K8u5d+o0KBQ6NmxKzannZx+bkkBsfh8LMDOf2j5D4V+kLsFYGS2tbLItdU3aOblw9ux+fgMJ+xq2rJ2neaVCl/M3DO1fiE1gH72oVf5BzT/I0qK9dxqZOAzKO7NNvUyiwrtuQlD/XGT1EYWmJrtiNSKfNv58Vttkrk759XrLOqFvDqiAobm2pICTAkj/KqjOuZePjYVhneHuoDOqM/AC5l7uK8d9Fl1j4rzKpcyEu2fD7U9K11Aww51acvq9jZQGB3mbsPn7vbTlLFbg5KklNr/y0PwztweJU5mbU9vPkwKWbdKynf5NOq9Vx4NJNBrUpufZBkIcLK9591mDbd5v+JkOdw3t9H8HLqfR57vX1Y+X1Y0u2O3T6doePkuhE/d+xVIGfu4ID542XzStRWqatMqy/BrQ1Jy5Fx66The0OSxUM7aZCkwe/bLm3Uef3IjtHR3ax6U6SUvOoU92yIChubamgur8FWw/c+1uClhYKPF3M2Xvn4YelSt/HLt6O0morZ8mzrKw8IrMM8xGfqKZJA2cuX9On28bajLAaDqzZePeHvD07e5GUksO+Q6WPrO/VxZs9BxNITjXxvEpCiPIFyadPn86VK1fw9PQkMDAQVbFXaY8ePVopiSuNQqGgRZch7Fr3A66egTi7+fLX6unYO3tQK7xzwX4/fzGU2uGdad5ZP4eYOjuDxNiIgt8nxd0iOuIc1raOOLn6AHDm0GZs7J1xdPEh9tZFNi35jFrhnQip28Yk+ajfdghHtv2Ao3sgDi6+HNw8HVsHD4LqFuZj7Q9DCa7bmXpt9PnYt/FrAmq2w87Zm1x1BhePrSfy6kEee2FuwTGZqXFkpsWTkqDPb0L0RSwsbbFz9sbKxqnS81KU+uhOrLsOJi/mJnm3I7AIb49CZUHu2YMAWHUdjC4jFfXeDQDknPwbiwZtsHqkLznH96B0csOiaWdyju82aTqLW78zmce7ORMdl0NMgobBPV1ITMnj4MnCSvrTV304cDKDTbv1gfP1O5KZ9LYfA7o4s/dYOqEBlnRp5cAPv+qfkltaKHi8qzOHTmeQlJKHvZ0Z3ds64uJoxt/HyveqZVkUCgXNOg9h78ZZuHgE4OTmx86107B38qBmo8JravHU56jRsAtNO+qvqc1LxnPm4HqeeOV7LKxsC+ZwtrS2R2VhdScQ+DyanCz6PP8l6ux01Nn69NvYu6BUlj4vZHnsPJFLlyYWxCVrSUzT0b25BakZOk5dLezcvNzHilNX89hzKhd1LtwuNmoiRwMZ2boS290c9SPM56yrxAh5KbYezKJXGxtiEvOIT86j3yO2JKdpOXq+sAP0zjOOHD2v5q/D+vQ82dmW4xdzSEjRz8fXp70tWi0cOKP/fWqGzmDUUb7E1Dzikyu/k6RQKGjYbgiH/pyFk3sADi5+7N84DVtHD4LrFV5Tq757jur1u9Cgrf6a2rFiPBeOrKfXiO9RWdoWzJdvaWWPuYV+MdyzB1bi7FkdazsXbl8/xq5Vk2jUfijOnsElE1LBPDTrNIQ9GwrLxQ4j5eKXr5+jZiPDcnH6wHqefLWMcvHN8+TmZNFnuOnLxcNSZ2zclUr/zo5Ex+cSm6BhUHdnklI1HDpd+KDr45GeHDyVyR979T3CDbtSmfi6N/06OfL38QxCqlnSqYU9P64o7FDYWitxczbH5c7c5j4e+iZOclpeiTnQTWH/OS3t6ilJSNWRlK6jY0Mz0jLhfERhL+25Lmaci9Bx8IKWHA3EJht+R44GMtW6EttN4dnOLfn459WEBfpQN9CXxdv2k5WTS59W+oU2x/60Cg8nB97op7+25m3aTViAD/7uzuRo8thz+hIb9p/kw6cNp95Lz8pmy5GzjH68q+kzgb5ctH30Wbatno27VzVc3P3YvHwGDk4e1G3SqWC/Hz57nrpNOtGm29OAvk0Yf7uwTZgYd4vI6+ewsXPE2c0HdXYm29b8SJ3GHbB3ciczLYm9W5aSkhRDgxbdHkjejDGztcE2pHDROZsgPxwa1CInMYXsm6UvPFcVYpYtJeijj8k4f46Mc2fxfHIgSmsr4jfo239BYz8hNy6OW7P105vYhtXBws2dzMsXUbm54/v8CFAqub3klweaboVCQetuQ9i+9gdcPQNwdvdj68rp2Dt5ULtIP2PelGGENe5Myy6F11RCjGE/I+rGOWxsHXFy8ynYnp2VzumDf9D9qfceXKaApE2r8XxpFNnXLpF95SLOj/ZBaWlJ6s4tAHiOHI0mKYGEX38GIOPoQZx69EN9/QrZVy5g4emD6+PPknHsIOge3BxRG3amMqCLE7fjNMQm5jKwuzNJqXkcOlVYZ3zyshcHT2WweY++zli/M4X/velDv86O7LtTZ3RuYc/s3/TTqZgpYfRQD4L8LJkyNwalUlEwP3J6Zl6lBQXLsv2omkdbWBKblEdCipZera1JSddy4nJhEOyNJ2w5cTmXncf0gc1+7a04dSWXxFQdjnYKerayQquDw5X4ZmRpHob2IMCz7cP5eOkf1PH3oG41L37ZeYysnFz6NqsDwEdLNuPhYMebvdpgqTIn1NvwzU17a/1giPztmepc5m49wCN1quPmYEtyRhbL9p4gNiWdLg1DKz39Re09k0eHBmYkpOjbHZ3DzUjL0o86z/f8oyrO3shj/7n8dodh5Liw3aHfnh8gtzCH5TtzsbSA/OEfGdmV/wLJ5r3p9O1oz+0EDXGJGh7v4kByWh5Hzha+lvfBcFcOn81myz59n/yp7g4cPZ9NfFIezg5mDOhsj1ar4+8T+mOi4jTcjtcwvJ8TizemkJ6ppUmYNXVDLPlqYfmmeLmb5b9H8tzAatyMyiI6JpsRzwSSkKhm9/7CKZy+/V99du2LZ9WGwsC5QgE9Onux+a8Y8kq5rfp6W9GgjiPvjq/4tC5CiLsrV5C8b9++lZyM+9emxwhyc7JY9/MnZGemUq1GY54ZNQdVkVF8SbERZKYXTmcRdf00P3/+XMHPfyybAkDD1n3pN0L/77TkWDYvnUJGagJ2Tu40aNWH9r1fNlk+GnUYgSYnix0rPiEnKxXvoMb0emGOwWjE1IQIsjIK85GVnsi2Ze+TkRqHpZU9rj41eeyFufjXaF2wz+l9yzi85buCn9d8r2+odBw4iVpN+5ssPwCai8fJtrbDsuWjKGwc0MZHkrnmR3SZ+uCR0sEZbZHRJ7r0ZDLXzMayXV9sn3kHXXoKOcd3kXP4L5Oms7jVW5OxtFAycpAHttZKzl3NZuKsKHI1hWn1clPhYFcY+LocoebzudE885grTzzqTGyChvmr4tl1WJ9XrRZ8PS14pJkDDnZmpGXkcTkim7HTIrl52zQj0Vp2e4FcdRYbf9GXDf+Qxgx6c67BNZUUd5OsImXj6E793JK/fG04WqLX0Mk0aNWf2xFniLp2AoDvxxouMPXqpG04uflVah7+OpqLhbmCJztYYm2p4Fp0HrPXZRl0Wtwcldha338nrVltFSnpOi5EmL4HtOnvLCxUCp7raY+NlYJLEbl8syTFIB/uzmbY2RS+JuvsoOSl/vbYWitJy9Ry+WYun/2UVGIh0wepcacX0ORk8devn6DOSsUnuDF9XjK8plLiDa+pU3v119SqmYbXVOfBkwlrrr8HJcVe4+/1U8nOTMHBxZcmXUbS6JGhJslDy0dfICcniw2L7pSL0MYMNlIuitYZR3bo87DoK8M8PDZ0Mg1a9yc64gyR+eXiI8Ny8drkyi8X8HDUGWu3p2JpoeSlx92wsVZy/lo2k36MMbjXerqqcLAtvNdeuZnDVz/F8lRPZwZ0cSI2MZcFaxPZc7TwIWaTuja8OqiwM/v2s/rXwZf/kczyP5MrNQ/G7DmjRWUOj7U0w8oCImJ1/LLVcL5xZ3sFNlZVV5aL6ta0LknpGcz6fTvxqenU9PPi+zeewdVBP3IwOjHFYD7YLHUOk5ZuIDYpFUuVOYFebnz2fH+6NTWcjm7zodOg0/Fos3o8KB0eG06OOosVcz8lKzONoBrhvDBmtsFczwkxN8lISy74+ebVM/zwv2EFP//+yxcANGnXh0EjJ6FUmhEbfY3D364lIy0JWzsn/KvX5ZVPFuLlV3Xrvzg2rkvLbYsKfg776kMAbi5cxcnhH1RVsoxK/Gsr5k5O+I54AZWLK5mXL3Fx9NtokvTTe1h4elH0HX6lhQW+L7yEpY8PeVlZpOz/m6sTx5OXXvmDCu6mbc8R5KizWPPTOLIzUwkIDWfoOz8aXFOJsRFkphXeayOvnWHe5MJ+xsYlnwPQqE1fHn9xcsH2k/s3AjoatCjf2k7llb5/F2b2Drg+/ixmjs7k3LhK5OefkJeaDIC5q7tB8Fs/77gO1yeGYO7iSl5qChnHDpLw24IHmu61f6VgZaHgpSdd79QZaj6bfduwznAzx75YnfHl/Bie7unC412diE3U8POawjrDxdGcpvX0bw989a6vwd8bNzOas1dMP5Biy0E1FioFT3W1wdpSwZVIDd+tzDBs6zqZYWtddBpIJcN62WJrpSA9S8eVSA1fLU4vsXijqTwM7cFHG9UkKT2L7zfvIz41k5q+7nz/Yj9c7fXXw+2kNJT3MdzYTKngWmwSvx9aR3JGNk62VtTx9+Sn154kxMvt7l9QAbtP5WFhDn1bm2NlATdidfz8h+HIbxd7BTZW954fH1cF1Tz0/ZLRTxi+Hfnlb2qSK/l2vH5XOpYWCob3c8LGSsnFG2o+/ymB3CIvlHi6mmNfpK/k4mjGa4NcsLNRkpah5cJ1NeNmxZGWob9/5Wnhi5/jGfSoI+8MccXSUkFMQh6zVyRx4kLF37o1ZvHKm1hZmfHeazWwszXn1NkURo87RU5uYdn09bLGycFwcGmThs54eVixYUvpC3b27OxNXIKag8dMsx6VKKSjatdBEP8MCl3x9+iqyLK//xHJqJAY0zyYfOCGXRld1UmoFEOvvlLVSaiwvgP+hQuxGnHs1IPv4Fa21KT7X1D0nyi8ifvdd/oXcLC9+z7/dIkp//56D2Dvjn//IkK1G/jefad/gTHVVlR1EirFVvvKn8v8QVO2qFPVSagUHs2d777TP9yNr/+u6iRUigbTTbuA6YPyocd3d9/pH87D999fLgDC6jhVdRIqbLi2/Iua/5NMjBl2953+Ba5fMs3itw/SjdOXqzoJlWLPuvZVnYR/nb/PlT6NlzCuVe3Sp536tyr3Kh/JycnMnTuXDz74gMRE/YiQo0ePEhkZeZcjhRBCCCGEEEIIIYQQQoh/hnJNt3Ly5Ek6d+6Mo6Mj169f54UXXsDFxYVVq1YRERHBwoULKzudQgghhBBCCCGEEEIIIUSlK9dI8lGjRjF06FAuXbqElZVVwfYePXqwa9euSkucEEIIIYQQQgghhBBCCGFK5QqSHzp0iJdeeqnEdl9fX27fLn3RASGEEEIIIYQQQgghhBDin6Rc061YWlqSmppaYvvFixdxd384FoUTQgghhBBCCCGEEEI83HQ6RVUnQfwDlGskee/evZkwYQK5ubkAKBQKIiIieP/99xkwYEClJlAIIYQQQgghhBBCCCGEMJVyBcm//vpr0tPT8fDwICsri/bt2xMSEoKdnR2fffZZZadRCCGEEEIIIYQQQgghhDCJck234ujoyJYtW9i7dy8nTpwgPT2d8PBwOnfuXNnpE0IIIYQQQgghhBBCCCFMplxBcoBt27axbds2YmNj0Wq1nD9/niVLlgAwf/78SkugEEIIIYQQQgghhBBCCGEq5QqSjx8/ngkTJtCkSRO8vb1RKGSCeyGEEEIIIYQQQgghhBD/PuUKkv/www/8/PPPPPvss5WdHiGEEEIIIYQQQgghhHggdMjgX1HOhTtzcnJo1apVZadFCCGEEEIIIYQQQgghhHigyhUkHzFiRMH840IIIYQQQgghhBBCCCHEv9U9T7cyatSogn9rtVp+/PFHtm7dSv369VGpVAb7Tp06tfJSKIQQQgghhBBCCCGEEEKYyD0HyY8dO2bwc8OGDQE4ffq0wXZZxFMIIYQQQgghhBBCCCHEv8U9B8m3b99uynQIIYQQQgghhBBCCCGEEA/cPQfJhRBCCCGEEEIIIYQQ4mGi1VV1CsQ/QbkW7hRCCCGEEEIIIYQQQgghHgYSJBdCCCGEEEIIIYQQQgjxnyVBciGEEEIIIYQQQgghhBD/WRIkF0IIIYQQQgghhBBCCPGfJUFyIYQQQgghhBBCCCGEEP9Z5lWdACGEEEIIIYQQQgghhKgKOhRVnQTxDyAjyYUQQgghhBBCCCGEEEL8Z0mQXAghhBBCCCGEEEIIIcR/1j9mupUs9b//1YY8ra6qkyCKMFf9Yy7vcsvTVnUKKofK3KyqkyDuyM19OO5TZg/BI17lQ5AHAIXi319/63QPR7lA93BUGrl5//7C4d/cuaqTUCliDyRVdRIqLFfz779HASjNHo585OXlVXUSxB0PRZtQm1PVKagUavXDUS7MVf/+Pp+ZSlXVSRBCVKF/fy9ECCGEEEIIIYQQQgghhCgnCZILIYQQQgghhBBCCCGE+M/6989HIYQQQgghhBBCCCGEEOWg0z0c05qJipGR5EIIIYQQQgghhBBCCCH+syRILoQQQgghhBBCCCGEEOI/S4LkQgghhBBCCCGEEEIIIf6zJEguhBBCCCGEEEIIIYQQ4j9LguRCCCGEEEIIIYQQQggh/rPMqzoBQgghhBBCCCGEEEIIURV0uqpOgfgnkJHkQgghhBBCCCGEEEIIIf6zJEguhBBCCCGEEEIIIYQQ4j9LguRCCCGEEEIIIYQQQggh/rMkSC6EEEIIIYQQQgghhBDiP0uC5EIIIYQQQgghhBBCCCH+s8yrOgFCCCGEEEIIIYQQQghRFbQoqjoJ4h9ARpILIYQQQgghhBBCCCGE+M+SILkQQgghhBBCCCGEEEKI/ywJkgshhBBCCCGEEEIIIYT4z5IguRBCCCGEEEIIIYQQQoj/LAmSCyGEEEIIIYQQQgghhPjPMq/qBAghhBBCCCGEEEIIIURV0OkUVZ0E8Q9QrpHkN2/erOx0CCGEEEIIIYQQQgghhBAPXLmC5IGBgbRv3545c+aQlJRU2WkSQgghhBBCCCGEEEIIIR6IcgXJDx8+TLNmzZgwYQLe3t707duXFStWoFarKzt9QgghhBBCCCGEEEIIIYTJlGtO8kaNGtGoUSO++OILduzYwZIlS3jxxRfRarX079+f+fPnV3Y6S9DpdOxeN50Te5ajzkrFt3o43QZ/iotnYKnH7Ns8mwvH/iTx9lXMLazwDW7EI/3ewdUr2Oj3L5/5AlfP7Kb/yO+o0bCzyfJx+M8ZnD+oz4dXYDht+43D0b30fJzZt5Sz+5aSlhQJgLNnCI07v0q1Wu0K9tm18hMiL+0jIzUWlaUNngGNaN7jHZw9SubVFFT1W2PZpAMKG3u08VFkbV+NNiai9AMsrbBq1QPzkPooLG3QpiWi3rkWzfVzDyS9+Z7s5kSnFnbYWis5f03N3JUJ3I7XlHmMs4MZz/RypmEtaywtFNyO1/D9sniu3soBoFk9G7q0tCfYzwJ7WzPe/TqKG1E5JsvDw1I2ujYxp1ltc6wt4fptLat35xKforunYx9paE6PFip2n9Sw7u/cgu0v9baguo+Zwb77z2hYtTu3+FdUmj7tbWjXyAobKyWXb+ayaFM6sYl5pe7fu50NfdrbGmyLjtcwdpbxt3beGuxIvRALZv6WwrELprmudDodh/6cwbkDhfepdv3H4VTGfer030s5U+Q+5eIZQuMurxJQ5D51dv+vXDq2nrjIs+SqM3h+wkEsrR1Mlocda2dwdNdysjNT8Q8Jp+ez43Ato1zs3jCb80e3EB+tLxf+1RvR+YnRuBUpF0d2/sqpA+uJvnGWnOwM3p9xECsb0+TBGJ1Ox8HNMzizX39uvIPCeeTxss/Nqb1LOf33UlIT75wbrxCadX2VgNrtSj2msj3RzZFOzfX32gvX1MxdlXhP99qnezoZ3Gtn/ZpQeK+ta03nIvfa96ZGcSPKdGXbmI4NzWgcqsTKAiJidazbryEx7d6ObVtXSZfG5uw7m8emQ6XfIyrTsh2HWPDn3ySkplPDz5P3B3anXpCv0X23HTvHvE17iIhLRJOnpZqHC0M6t6RXi/oF+2Rm5zBt9Ta2nzhPSkYWvq5ODO7YjCfaNTFpPnQ6HVtXzeDQ9uVkZaYRUKMRfYeOw80rsNRjrp0/xK4N84m8foa05DieeXMGdZqUrM9iI6+w+devuXr+ENq8PDx8q/PMG9NwcvMxYY70PPoPwGvwM6hcXMi8cpmIb74m49xZo/sqzMzwfvY5XLv3wMLNneybEdyc9R2pB/abPJ3l4dKmCcGjh+MYXhcrHw8OD3iFmN+3VXWySqXT6di+xrAO6TXk7nXIuSNF6pCQRnR5fDRu3g+mLe7QqSdOPQZg5uhMzs1rxC/6AfXVi0b39flgMta165fYnnH8ELenfgqAmYMTLgOHYVO3EUobW7IvnCF+0Q/kxkSZMhsADOrhQpeWDthYKzl/LZsff4sjOq7s+7uLoxnP9nYjPMwGC5WC2/G5zFwcy5Wb+kFdA7u70DrcDjcnczR5Oq7cVLNkfQKXbphu0FfP1la0rmeBtaWCq1Ealm3JIi5ZW+r+PVpZ0bOVlcG22wl5TPypsGJpXd+CJrUt8Pcww9pSwTszUshS31t7+X49DO1BgGV/n2LBrmPEp2VSw9uVMX3aUc/f867HbTp+iTFL/6RDWBDfPtfD4HdXYxL5dtM+jlyNQqPVUt3Tha+feRRvZ3tTZQOAbk1VNL/TX7p2W8uqXTn33F/q0Micni0s2HUyl9/3Fpanl3tbUt3XsL+070wuK3eZpk3Vr6MdjzS2xsZKyaWIHBasSyWmjL5S3w529OtgZ7AtKk7DBzPiDbZV91fxeCc7qvup0Goh4raGLxcmklt2c7Pcnh/kT68untjZmHHqfBpTf7xKZHR2qfsv+yEcbw+rEttXb4rm2znXSmz/Ymxtmoc789GU8+w5mFipaRdCFKrQwp0KhYIOHTrQoUMHXn75ZYYPH86CBQseSJD8wJ9zOLJ9ET2fm4KTmx+7fp/GrzOG88K4jZirLI0eE3HxIOHtn8Y7sB5abR671kzl1+nDGTFuAxaWNgb7Htq2ADD9xP0ndszl9N5FdBg4BXsXPw79MY0N80bw5OgNpebD1tGT5t1H4+gWgA4dF4+s4Y8FrzLgzVW4eIUC4OZbh5BGj2Hv5E12ZgpHtsxk49zhDB6zFaXSzOj3VhbzGg2xateH7L+Wk3c7AotG7bDt9yLpC6agy0oveYDSDNt+I9FmpZO1/me0GSko7V3QqbNMms7i+nRwoHtbB75bGkdsooaBjzrz0YuejPoiilyN8caGrbWSia97c+ZyFpPmxJCaocXbzZyMrMIGr6WFgvPXstl3IoORT7qZPB8PQ9l4pKE5reuZ8+v2HBJTdXRrqmJ4Twu+/lWN5i6xIz93BS3CzIiKN97pOHBWwx+HCht5pmooAXRvZU3nZtbMW5tGfHIefR+xZdRTjoydlVhmPiJjNXz1S3LBz9pS+k9dmluj05mmI1TU8R1zObVnER0HTsHBxY+Df0xj/dwRDHqn9PuUnZMnLXro71Og48LhNWz++VWeeKvwPpWbm41/zbb412zLgU1TTZqHvZvmcmDrIvoOn4Kzmx/b10zjl6kjePV/pefhxsVDNO3wFD5B+nLx18pv+OXrEbzyv/UF5SI3J5uQum0JqduWbStNmwdjjv41lxO7F9H5Kf25ObBpGr/PHsFT75d9blr2HI2TewA6nY7zh9ewYf6rDBy9Ctc758aUendwoHsbB75fFk9sooYnuznx4QsejP4yqtTyaGutZMJrXpy9ks3kubGl3GuVXLiuZv+JTF560tXk+SiuTV0lzWsrWb1HQ1K6PmA+pIuKmWty0ZQeAwHAx1VBkxpm3E68y46V6I/DZ/h6xZ989FRP6gX6svivA7wyYzFrP30VFwfbEvs72FgzontbAr1cUZmbsevkJcYtXIuLvQ2t6oQA8NWKPzl04RqfDeuHj6sT+85dYfLSjbg72vNIg5omy8uuDXP5+89feOLFyTi7+7Fl5XTmf/ECb09Zj8rCeDnIUWfhXa0mTdr355dpbxjdJyEmgh/+9zRN2w2gc//XsLS2IybycqllqzK5dOyM/2tvcuOrz0k/ewbPJwdRY+q3nBo8EE1yyYemvi+OxLVrN65/PpnsiBs4NGtB6KQpnBv5IpmXjAdGq5KZrQ2pJy9w8+eVNFnxXVUn567y65B+I/Rtq+2rp7Ho6xG8+tkGVKVcD9cvHKJpx6fwDaqHNi+Pbau+YdHUEbxapA4xFdvmbXF76gXifp5J9pULOHXri/e7E7n53ovkpaWU2P/29M9QmKsKflba2eP/v5lkHNxTsM3rrbHoNHnc/nYi2qxMHB/th/f7n3FzzEh0OaYLLPfr7ETPdo5MXxxLbEIug3u68PHLPrw5KaLM9vmkt/w4fSmLibOiSE3Pw9tDRXpWYeMrKjaHucvjiEnIxUKl5LEOjnzyig+vTrxBanrl34u7NLPkkUaWLNqUQXyKlsfaWPPa47ZM/CmtzDZhVHweM34r7D/lFcuyhbmCs9dyOXstl77trCs93UU9DO3BzScu8dX6PYzt9wj1qnmyeM8JXp63jrXvPIWrXenlMjIxlakb9hIe5F3idzcTUhj6wyr6NQ3j5S7NsLOy4EpMIhYq0/a5OzQ0p009c5b9lUNiqpZuzVS80MuSL5dl37W/5O+upGWYean9pf1nNfxxsHDwTY6J+ks92tjSpbkNc1anEJ+UR/+OdrwzxJkPZ8aX2Ue7FZPLFwsK68I8rWHBqO6v4p1nnVm/O4NfNqSRp9VRzUuFqbpNg/v50r+nN5OnXyI6Vs3wwdX46uMwnnvzGDm5xv/oS++dxExZ2KcOqmbD1E/rsOPvhBL7PtHL22RpF0IYKtd0K/lu3brFF198QcOGDWnWrBl2dnZ8953pG7o6nY5D2xbSqvvL1GjYGQ+/WvQa9gXpybFcPL611OMGvjGP+q364+4TiqdfLXo+N4XUxChuR5wx2C/m5jkObZ1PjyGTTJ6PU3sWEt5pJIF1OuHqXZMOAz8nMzWW62dKz0dgWEeq1W6Po3sgTu5BNHv0bVQWNsRGnCjYJ6zFQHyCm2Lv4oe7Xx2aPvoW6cnRBU/xTckyvD25p/eTe/YQ2sQYsretQKfJRVWnmdH9VXWaobCyIWvdfPKir6NLTSIv8graeNOPTCmqRzsHVm1N5vCZLCKic5m5NA5nB3Oa1i29wdSnoyMJyfrRjFdu5hCXqOHkxWxiEgpr9d1HMli5JYVTF0t/klxZHpay0aaeOduOajh7XcvtRB2/bs/BwUZBncCyG5sW5jC4kwUrduaSlWO8JZGjgfSswo/ahANNOzezZv3uTI5fzOFWbB7z1qbhZK8kvFbZAZY8LaRm6Ao+6Vkl8+LvaUbXFtb8tO4eh6mWk06n4+TuhTTuNJKgup1w9alJx0H6+9S1u9ynAmq3x+nOfap5d/19KqbIfapB2+cI7/gingENTJ6HA1sX0q7XSGo16oSnf036Dv+ctORYzh8tPQ/PvD2Xhm364+Ebipd/LfoMn0xKYhTR1wvLRYsuz9Gmx4v4BZs2D8bodDpO7FpIky4jCa7bCTefmnR+6nMyUmO5err0fAXV6UhgmP7cOHsE0bLHnXNz/USpx1SmHm3tWbU1peBe+92y+Lvea3t3cLj7vfbonXvtpQf7gDVfy9pm7DqZx/mbOmKSdKzao8HeBmpVK7upZWEOj7c1Z+0+DVmme8mohEVb99G/dTh9WzWkuo87Y5/qiZVKxZq/jxndv2nNQDo2qkWwtzv+7i483ak5ob6eHLtSuJj7ias3eaxFA5rWDMTXzYnH2zamhp8Xp6+bru2h0+nYu3khHXqPJKxxJ7yr1eTJl6aQlhzL2SOll4OaDdrR9Ym3qNOkS6n7/Ln8W2o2aEf3we/iExiGq2c1wsI7Yudo+ocwnoMGE7duLfEbN5B9/To3vvwcbXY2br16Gd3ftdujRC9aQMr+faijoohbs4rkffvwGvSUydNaHnF/7OLiuG+JWVv6Ofqn0Ol07N+ykHaP6esQL/+a9Btx9zrk2VFzaZRfh1SrRd/nJ5OSEEXU9TOlHlNZnB7tR+qOzaTt3kpu1E3ifp6JTp2NffuuRvfXZqSTl5JU8LGp2whdjpr0g7sBUHn5YBVSm7gF36G+donc25HEL/gOpYUFdi3bmzQvvdo7seLPJA6dyuBGVA7TF8Xi4mhGs/olH+bl69fZmfhkDTOXxHI5Qk1sooYT57OIiS/aPk/n5MUsYhI03Lydw0+r47G1NiPAxzQPwTqEW7J5fzYnr2iIiteyYGMGjnZKGoSoyjxOq4XUTF3BJ6NYm3D7UTVbDqq5Hm3aN5AehvYgwKLdx+nfrA59m9amuqcLY/s9gpXKnDWHSn97OU+r5cNlW3i5SzP8XBxL/H7G5v20qRnA2z1aUdvXHX9XRx4JCyoz6F4Z2tZXsfVILmeu5xGdqGPZX/r+Ut2gu/eXnupswfIdOaW+dZCj0ZGWRcHHVP2lbi1tWLcrnWPn1dyM0fDjqhSc7M0Ir1VyhHVReVpISdcWfNIzDfPx1KP2bNmfyYbdGUTGabidkMfBM3d/eFBeT/TyZtGKW+w9lMTVG5lMmn4JVxcL2jRzKfWYlFQNicm5BZ+WTZy5FZ3F8TOpBvuFBNrwZB8fPv/usmkSLwrodPK538/DqFxB8tmzZ9O+fXsCAwNZuHAhAwcO5MqVK+zevZuRI0dWdhpLSIm/RUZqHIG1WxVss7K2xyeoAZFXjXfujFFn6YNL1jaFlV1uTha/zxtNl0GfYOfoXnmJNiIt8RaZaXH4hhbmw9LaHg//+sTcOH5P36HV5nH5+AZyczLxDGhodJ/cnEwuHFqFvYsfdo5elZDyMijNUHr4oblZdNSSDk3ERcy8A40eYh5cF030Daw6DMDuhfHYPvMuFk07gcL0I/nzebiY4+xgzskigeysbB2XI9TUCCi9sdwkzJqrN9W8PcSdOZ/68/kobzo1tyt1f1N7GMqGi70CB1sFl24VtmKyc+BmrJYAr7JvWX3bqjgfoeVyZOkjgBqFmjHuOStGPWnJo83MUVXofZrSuTkpcbI34+y1wqhXllrH1chcqvuW/Uc9Xcz4+i0Xprzmwgt97XFxMMy3hTm82M+BxZvSSc0wbe2Uf5/yK36fqnZ/96lLd7lPmVJy/C3SU+IIDitSLmzs8Quuz80rx+/5e9SZd8qFbckOUlVIvXNu/GsYnhvPavW5ff34PX2HVpvHxWP6c+MV2NA0CS0i/15bNJCdf68NLeteW8eaq7dyePtZN3781I8pb3vTsQrvtcU524G9jYIrUYXlUZ0LkXE6/N3Lrst6NjfjYqSWq9EPrqWZq8njXEQ0zWsHFWxTKhU0rx3Eyau37nq8TqfjwPmrXI9JIDykWsH2BsH+7Dh5kZikVP1D2wvXuBGTQMuw6ibJB0BS3C3SUuIJqduyYJuVjT3+wfWJuFz+Bz9arZbzJ3bi5hXI/C9G8L9XWvPduIGcOWz6oK7C3BzbGjVJPXyocKNOR+rhQ9jVqWf0GKXKAq3a8CmLTq3Grv6Df4D3sEmKK70OuXUfdUh21gOqQ8zMsQwMIfPM8cJtOh1ZZ49jFVLrnr7Cvl1X0vfvKhghnj/KXJdb5BrT6dDl5mJVo05lpbwET1dznB3NOXEhs2BbZraWSzfU1AwsPYjWtJ4tVyLUvDPMi58+C+Sr9/zp3LL06TvMzaBrK0cyMvO4Hln5o+JdHZU42im5cKMwSJ+dA9ej8wjyKbtN6O6s5LORDowfYc/QHjY42z+4/lFRD0N7MFeTx7nIOFqE+hVsUyoVtAjx42TE7VKPm731EM521vRvFlbid1qtjt3nbxDg5sTIub/zyIT5PD1zOX+duWqSPOQrrb8UEaslwLPs/lL/dhacu5HHpTL6S+Gh5owfas07A63o3lxlkv6Su7MZTvZmnLlSsq8U4l/2wyMvVzO+fcedL99y46UBjrg4FubZ3lZJiL8FqRlaxo5wYfp77nzwvAuh1cr+zvLy9rTE1dmCIyeSC7ZlZOZx7lIadWre23Q75uYKurRzZ9NfsQbbLS2UfPx2Db798SqJyQ92CkEh/qvKdbv73//+x+DBg5k+fToNGjz4xnd6ahwAtg6GI3ls7V3JSI03dkgJOq2Wrcsn4Vc9HHffGgXbty2fjG/1RiabZ7mozDR9PqztDPNhbe9GZlrZ+UiIvsCa7waTp1GjsrCh25CZOHuGGOxz5u8l7N/4FZqcTJzcg+j5wnzMzC0qNxPFKKxtUSjN0GUajm7VZaZh5uJh9BilowtK/xByzx8lc+0clE5uWHUYAEozcg78adL05nNy0D9xT0kzfLyckpZX8DtjPFxVdGmlYsPOFFZvS6G6vwXD+rmgydOx83CGSdNszMNQNuxt9I3/4qOn07J02JfxFmmD6mb4uimZsar0zs3xS3kkpWlIzdTh7aqke3MV7k5KFv1Z+cM3He30jbXiQezUDC0OdqU3Xq9Gapj/eyq3E/JwtFPSu50tY55z4pPZSWTfGR0/sKsdl2/lcvyi6YedFtyn7A2vKRu7e7tPrZpZeJ969LmZuBS7Tz0I6SmllAsHt/sqF5uXTcI/JBwPvxp3P+AByLxT3m2Kn5t7qEPioy6wcvpgNHfOTY9hM3HxMv25cbLPv9cadsxS0vMKfmeMh4uKLi1VbNiVyuptMVT3t2RYX2c0eTp2VcG9tjg76zv3rWzD8p6ercOujPtW3UAlPq4KZq834bxPRiSlZ5Kn1eFabFoVV3tbrt8u/dpJy8qm65hvyM3NQ6lU8OHgHgYB8DEDH2XC4vV0++BbzJVKFEoFnzzTi8ahASbLS1qyPr3FR3fbObqRdqfsl0dGagI52ZnsXDeXro+/waMDR3Px5B4WT3+DER/8THBt42/HVQZzRycU5ubkJhrOOZqbmIRVQKDRY1IO7sdr0GDSThxHHXkLh8ZNcWr/CAplhV4aFRS2reyM1CHpKfdWh2i1WjYv1dchniauQ8zsHVCYmZGXmmywXZOSjLW3/12PtwyugaV/IHHzphVsy4m+RW58LK5PDCXup5lo1dk4PdoXc1d3zJ2cKzsLBZwc9F3V4u3z5DQNzmW0zz1dzenWxoF125NZuSWRkGpWDB/ghiZPx46DhX2UxnVsGDXUC0uVgqTUPMZ/H0VaRuVPteJgq68jUjMNvzstU1vwO2OuR2tYtCmPmER9m7BHSytGDbbnfz+lmvRNSGMehvZgUma2vu4rNsLb1d6Ga3HG1/45ei2K1YfO8dtbA43+PjEjk8ycXObvOMpr3ZrzVo+W7L0QwahFm5j7Yl+aBBtf56Oi8vtLacX6S+mZuoLfGdMwRN9fmray9Decj17SkJSuf5vV21VJzxYqPJwULPijcvsd+X2llGLTG6Wm5xX8zpirt3KYszqX2/F5ONor6fuIHR8Nd+WjmfFk5+jwcNbfG/p1sGPZH2nciM6lTUNr3h/qwkcz48uc77w8XJz08ZXEFMNCmZSci4vzvcVe2jZzwc7WvESQ/LXnAzl9IY29h4xfn0KIyleuIHlERASKCozyVavVqNWGgazcHMtS5408c+B3Ni8ZV/DzE6/OLvffzvfnsvHERV7imXeXFGy7dGIbN87vZ9hHqyv8/cZcOrqOXasK89F92A/l/i4n9yAef2s1OdlpXD31B9t/G0PvkYsMAuUhjR7DL7QVGWlxnNw5n62/vEWfV5Y+kLk074tCgS4znextv4FOhzb2Fjm2jlg06WCyIHmbcFtefLywkTd5bky5vkepgCu31CzdlAzA9cgcqnlZ0KWl/QMJkj8MZaNRqBn92xU+2f9p4/03wBxtFfRurWLO+rLnLD9wrvCXtxPzSM3Q8VJvS1wcFCSmVmwUZ/O6lgzpWThaYNrSknN+3ovTRUZT3IrN42pkCl+84UKTMEv2HM+mQQ0LageqGD/HNI2li0fXsXNl4TXV8/mK3aeefFt/n7py8g/++nUMfV5eZPKO0cn961i/sDAPT71Z/jzk27B4ArGRl3h+zJK772wiF46sY8fywnz1GlH+fDl7BDFwtP7cXD7xB1uXjqH/q4sqPVDeppEtLzxe+KrplHmxZexduvx77bL8e21ULv5eKrq0sK+SIHn9ICWPtSwM0Czedv9Bbgcb6NHMjAVbNHeds/yfwtbSkl8/eolMdQ4Hz1/jqxV/4uvmTNOagQAs3X6QU9cimfbKQLxdnDh66QaTl27C3dGeFrUrZ7HCY3vXseanTwt+fm70rEr53uLy13sIa9yRNt2HAuATUJuIS8c48NevJg2Sl0fEtG8IfO8D6i1eBjod2VGRxG9cj3tP49OziNKd3LeOdUXqkKffqngdsvGXO3XIB1VXh9wr+3ZdUUdcM1zkMy+P29M/w2P4mwT98Cu6vDyyzhwn48QhFJW4Tk27Jna8NLBwUM1ns8s39aJCoeDKzWwWr9c/aLp2K4dq3hZ0a+1oECQ/fSmL0Z/fxMFOSeeWjowe5sWYr2+Rkl6xIFrT2ioGdykMxH6/ysiaTPfg7LXCuiUqXsv16AwmvuhAeE0L9p027UCJh6E9WFEZ6hw++nUr4wZ0wNnW+BPv/KmwO9QJ4tm2DQGo5ePOiRu3Wb7/TKUFyRuFmvF4+8KA67wN9//Gg6Otgj6tLfhxXdnTjhTvL6X9n737jo6iagM4/NtN772HNFIg9A7SO0gVUEGQIsUKKPqp2BBQsAAKdgGlF+m9994h9A6hpfee7O73x4ZsNg1INkbxfc7Zw9nJzOS95La5c+dOmobXupvjZJtNbBmul5rUNGdwN90THdMWlu5aJuyqLu/fiYQbd+OZOsaFhtXN2XsyPe9h9F3H09h3Svvk4qLNyYQGmNKirgXLtpeuPD7UroUz776ab4LAl8Uv1fO4nm3rytGT8cTG6wban2ngQN3qdgx77+9ZDlEIoVWqQfI5c+ZgbW3N888/r7d92bJlpKWlMWjQoBKPnzx5MuPHj9fb1n3gOHoO/rzI/QNrteEVf92M9ZwcbcWYmhSLtZ2uI5WaHIur96MfI9y6eALXzu6m/7sLsHXQLT9y+/Jh4mPC+W5MA739V/02Eu/A+vR/d/4jz10S39DW9PHRvTlelZuO9JRYrGx16UhPjsHJs2qJ5zIyNs19AQq4eFcn+s45zu6fR4veE/L2MbOwwczCBjsXP9x8ajFnXCNundtGYJ3yu2DSpKeiUatQWOo/WqSwtEGdWvTayZrUZDRqld6iRur4SJRWtqA0ArXhFw87fj5N7+31Jsba1tTOxoiEfLNV7GyMuHWv+E5ofJKKu5H6d43vRmbTqGb5rkH30NNQNi7cUhEeqRshMs4dd7K2UJCcb305GwsF92OL7ph5uyiwsVQwuo/uBpCRUoG/h4Znqhvx0cyMItfMCo/S/l5nAwySn7mSxfh7ull/xrl5ytZKQWK+vpitlZI7EY8/oJaeqSEyToWro/Y/pqqfCS6ORvzwvv5LYN/oY8uV8Gy+nV+6wfmH/EJb41ZUPZWsX0+lpcTg/IT1VNSdc5zdN4+WfSaUeFxZhdRqjfc4XRrylwsb+3zlIikGt0olpwFg48IJXD2zm8EfLMDWsZyXrCqBf7UCfxuVNl1pBf82yTE4ez36b2Pvov3buFbS/m3O7J1H6xcM+7c5fiGNq9OKqmuV+nWttRG37pdQ1yaruFegrr0X9ffVtQVduqPmbr6XXRkZadNlba7QewrG2lzBg7ii6xZPJwXWFgpe66rrihkpFfi6aWhYRcmEBdnlttafg7UlRkoFsUn6Nxhik1Nxti1+GRulUoGPq/amR5VK7tyMiOGPLftpEOJHRlY2P6zZybTXXqBFDe1M2WBvNy7fjWTetkMGGyQPrduGSoH5ykHu8g8pibHY5ivfKYkxePg+unwXx9LGHqWRMa6e+kvFuHgGcPvKyVKf93HkJCagycnBxFF/LVMTRweyYwu/0AsgJyGBax99gMLUFGNbO7JjovF+/U0y7/+973d5GoTUbo1XQOF2MKWINsTd59F5bMOCCVw5s5shHy7A7m9oQ1TJSWhUKoxs7fW2G9vZo0oseVBKYWqGdeMWxK9cUOhnWbeucffTkSgtLMHYGHVyEl7jppF586rBYj96NpUrt3TvOcjfP49P0rUZ9jbG3Lxb/CBhQlIOdyP025S7kVk0rqVfv2VmaYiIySYiBq7ciuLHT3xo28SWldvKNhEh7Fo2tx7ornse9m1tLZUkperSYWOp5G7U41/npGdqiIpX4eJQ/k+IPA39wYIcLM21bV9Kmt722OQ0nG0K9yfuxCZyPz6ZUXM35G1T5zbMdcf+zJr3+uNuZ42xUkmAq3597e/qwOlbDwwW+4VbKqZF6mZ/P8xTNgWul6wtFcW+jNPbRYmNpYK3n9ctVWSkVODvqaRpdWM+/D296Oul3Os0JztFmQbJT13K5PpdXRtmktt3srNW6s0mt7U2IvzB4z8qkZahISJWhVvutVJC7tOK96P0r7fuR+fgaFf2l6keOBrHxSu6izsTE206HO1MiMs3yO1gb8K1m4+eyOHmYka9mvZ8+s0lve11a9jh6W7O+vmN9LZP+F8IYReTePuz8n+/hRD/RaUaJJ88eTK//VZ4xqqrqysjRox45CD52LFjGTNmjN62JYeKn91sZm6NmbmuU6PRaLCydeHWpUN5AxyZ6Sncv3mGOi36FXsejUbDtiUTuXJ6Gy+NmY+9s/4jh407jqBWU/2B/9kTu9H2+bEE1mxdYpoeh6m5NaYF0mFp48K9q4fyOhdZGSlE3QkjtEnx6SiKRqPO67yUsFfeoEq5UatQR93FuFIQOdfP5W5UYFwpiKwz+4s8RHX/JiZV6gIKQNvwKu1dUKcklssAOUBGpoaMTP2GMz4phxpB5tzOHaixMFMQ6GPG1oPFvxjx8q0MPF301zfzdDEmOv7veXT+aSgbmdmQWeCt30mpGoK8jHiQ+1I+MxOo5Krk0PmiO0zX7qmZulT/scEXWpsSlaBm96mcYgeaPJ1zl0RJK/tIVEaWJm85lIcSklVU9TflTqR2FoO5qYIALxN2n3j8l7iamYCrgxGHwrQXgxsPpLHvlP7xE15zZMnWVM5cLfs6msXVU3evHcobeM3KSCEqPIxq5VJPlZ2ZhTVmFvppsLZz4cbFQ3kDGpnpKdy9EUb9ViWXi02LJnLp5HYGvT8PBxfvYvf9OxT7t7l6CJd8f5vI8DCqNy3F36Yc2oeS61pteX5Y1247VEJdezMTjwJ1rYeLyd9W1xaUlQNxeuFqSE7TEOChICJeWw+YmYCXi4Kjl4u+WL3xQMOPa/TrtOeaGhGdqGH/OXW5vgzHxNiIqj4eHL10kza1tTdQ1WoNRy/dpG+rBo84Wket0ZCVrW2nc1RqclRqlAWeNFQqFXmDCoZgZmGFmYVumRiNRoONnTPXzx/GM3dQPCM9hTs3wmjUtm+pf4+xsSne/tWJjriptz0m4hb2zp6lPu/j0OTkkHrlMrb1GpCwb692o0KBbb0GRK5cVvKxWVlkx0SjMDLCoWUr4nbuKNdYn0bFtSE3LxzCw0eXx+7eCKN+65LbkI0LtW3I4A/+xjZElUPmrWtYVqtN2snD2m0KBRahtUncvr7EQ60bNkdhbELywV3F7qNO1w4wmrh5YuYfSNyKsk0iyi8jU0NEgXVE4hNzqBlsmTdpxcJcQZCvGZv3Fz8p4OKNDDxd9Zc58HQxJTq+5IE3pVKRNzBfFpnZEJ1QcFkxNSG+xtyN1taZ5qbg52HEvtOP33czMwFnOyVJKeX/+NHT0B8syMTYiKpeLhy5dpc21bQ3btVqDUeu3aXvM4Xf9+Dv4sDyd/TbkZ+2HCE1M4v3uzfH3c4aE2Mjqnm7cqvAci23YxLwcHi89agfR7HXS95G3M93veTjquTQ+aL7RtfuqZiyVP/l5i+2NiUqXsOu08XfmH94vZRcxvcgZWRpyIgruHSSitAAU8JzJxCZm2mvlXYeTSvqFEUyM1Xg6mDEwdzB8ZgEFfFJKtyd9Ye63J2NCTPAtVJ6hpp7EfrXYrHxWdStac+1W9q4LS2MqBpkw5rNxa91/1DnNq4kJGVz+IR+Hlq08h4btus/gTnn+9r89OdNDhyX5VeEKC+lXm7F39+/0HZfX1/Cw8MfebyZmRlmZvqD4iZPsFS2QqGgQduBHNz0C46uvtg5e7Nv7XSs7V311kte/N0ggmu3p17rAQBsXTyeC8fW0/v1nzE1t8pbp9bMwgYTU3Os7VyKfCGhraNnoUFDQ1AoFNRoNpCTO3/FztkPG0cvjm+dgaWtK37VdOlY9/tg/Ku1o3pTbTqObJpKpZAW2Nh7kJWZyrXT67l/4yhdhs4CICn2DtfPbMQ7uCnmVo6kJkZwetdMjEzM8KnS0uDpKCjz5B4sOvRDFXkHVUQ4pnVbojAxJfvCUQDMO/RDk5pE5gHtXfmssIOY1mqGeaueZJ3ej9LeGdMG7cg6va/cY81v494kerWz40FMNlGxOfTt7EB8Ug7Hzuka6U9fc+Po2TS2HNCOjmzYm8TEkR4819aOg6dTCfQxo21jG35frrtLbmWhxNnBGMfctRM9XbXFLiFZVWiNxbJ6WsrG/rM5tKlnTEyimrhkDR0amJCUpuH8Ld3/1/Cuppy/qeLgeRWZ2RAZr99xy8rRkJah2+5oq6BOoBGXwlWkZYKHo4Juz5hw476KiGJmepbV9qPpdG1mSWScipgEFc+1siIhWc3JS7oO2nsD7Dh5KZOdx7WdrRfaWXH6ShaxiSrsbZT0aGmFWg1Hzmt/npSq0ZuF9FBckoqYBMNfNCkUCmo2H8iJHdp6ytbRi6NbtPWUf756au1vg/Gv3o4aufXU4Y1T8anSAmt7D7IzU7l6SltPdR02K++YtKRo0pJjSIzRthuxD65gamaFtYMH5pb2Bk1Do3YD2bf+V5zc/LB39mLXqhnY2LtSpa4uDfO+HUyVuu1o2Fabho0LJnD2yHr6jvwJsyLKBWjXO09JjCEuSpuGyLtXMDO3ws7RAwtrw6WhuHTVajGQ49t+xT63DTmyeQZWtq4EVNela/Uvgwmo3o6azbXpOrh+Kr5VW2Dj4EFWRipXTq7n3vWjdB8xq7hfZVAb9yXzXFs7HkTnEBWXw4ud7AvVtZ+86sqxc+l5de3GfUlMeMudnm1sOXQmjUAfU9o2tmbmMt3TG9q61ihvndqHNzC1dW35DygcuqiiZU0jYpM1xCdD2zpGJKfBpXDd7x7cwZgL4WqOXlKTlQNRCQXrLUjPLLy9PLzcrgmfzllNqK8n1f08WbjzCOlZ2fR4pjYAn/y5Gld7G0Y91xaA2Zv3E+rjQSUXR7Jycth/7hobDofx0UvPAmBtYUa9IF++W7kdMxMTPJ3sOH7lNusPh/Funw7llg6FQkHTTgPZueZXnNx9cXTxZttybfkOracrB7MmDyG0fjuead8fgMyMVGIjdX3W+Oi73L99EUsru7xB8BZdXmHxj+/iH1KfgNBGXAnbz6VTuxn+0dxyS89DkUsW4//xp6ReukjqxQu4vfAiSgtzYjZo+07+n3xGdnQ0d3/TLjdjFVoNU2cX0q5dwcTZBa9XhoFSScSiwjOC/wmMrCyxyvfSV0t/b2xrVSErLpGMO4abfWkICoWCxu0Hsnf9rzi6+eHg4sXOItqQubltSKPcNmTDggmcPbyefqN+wtTcKm+NfPN8bUh5Sdi8CtfhY8i8eZWMG1ew69ADhZk5yXu3AeA6Ygw58bHELdPPyzYt25N68hDqlMI3La0aNEOVnEhObDSmlfxw7j+C1BOHST/3+C+GL431exLo09GBB9FZRMbm0K+LI3GJKo6G6WZofv6mJ0fCUtm0Tztwvn53ApPe8aZ3ewcOnEohyNeM9s/Y8utS7YCTmamCPh0cOHYulfhEFTbWRnRuboejnREHT5VtKYbi7DqZSafGZkTFq4hNVNO1qQWJKWrOXNMN3I963ooz17LZc0o7gPxcS3POXs8mLkmDnbWCLs+Yo9bA8Uu6Y2wtFdhaKXGx1w5kejorycyCuGQ1aRmGa0uehv4gwMvNa/PpXzuo5u1KdW9XFuw/Q3p2Dj3rawf+P166HVdbK0Z3boKZiTFB7vprsNtYaMcw8m8f1LIO7y/aQj1/TxpU9uLAlXD2XrzFrBE9DRp7QfvCsmlbz4ToRA1xSWo6NdReL527qbtOeLWbGeduqjhwLofMbApd82RlQ2qmJm+7k62COkFGXLyde73kpKT7MyZcv68q9sm4sthyKI3uLa2JjFURHa+iV1trEpJVnLykG4R+f7ADJy9ksj134LxvRxtOXc4gNkGNvY2S59pYo9bA4bO6GwAbD6TyXGtrwiOyCY/IoVltCzycjflxSYLB0wCwbP0DBvbx5u6DdCIiM3mlXyVi47LYf1TXT532eSj7jsSxapNu4Fyh0A6Sb94VhapAVzUuIbvIl3VGxmQREWX4FwwL0Bhw+TDx71WqQXJXV1fCwsLw8/PT237mzBmcnJyKPsjAGnUYTlZmOpsXfkZGWhLegfV4ceQsvfW246PvkJaiu8t2au9iABZNe1nvXM8OnEzNZ3r9LXEXVKvVMLKz0tm74jOyMpJw96vHs0Nn6qUjKTacjFRdOtJT4ti19APSkqIxNbfBySOELkNn4R3cFNA+0vbg5gnO7p9HZnoSFtZOePjXp+cbiwu9JLQ85Fw5TYaFNWZNOqGwtEUdc4+01b+jSdN2OpW2DqjRNbKalATSVv+GWYueWA14D01KIlmn95J1fGe5x5rfml1JmJkqebWPM5YWSi7dzGDS75Fk5+hidXMywdZK95jW9TtZTPkzipe6ONC7vT1RcdnMXRPH/pO6jnv96pa82Ve3NMY7L2sfUVy2JYFlWxMMno6noWzsPp2DqTH0bmmKuSncilAze0OW3vp5TnYKrCwevyFTqSDIW0mzmsaYGkNiqoazN1XsOFF+M1E3HUzH1ETBoC42WJoruBqezXeLEvXS4eJghLWl7rFZB1slr/aywcpCSXKammt3svnyz3hSDDDbvbRq59ZTe5br6qmuwx5dT+1c8gGp+eqprsNmUSm3ngI4f3gJx7f9lPd9zS/aC6rWL0yiSgPD5rumnbVpWDdXWy58guox4B39NMRFh+uVi+O7teVi7jcD9c7VY8gkajfrlbvPEvas1aVhztcDCu1Tnuq2GUZOVjq7ln1GZnoSHv716DZCP12JMeGkF/jbbF+k/duYWWj/Nt1HzMInpGlRv8Lg1u5KwsxUwYg+TlhaKLl8M4PJM6PIzlcU3ZxMsLHSXQBcv5PF1DnR9HvWnt7t7YmOy2Humnj2n8pX11az4I18de3bL2tv7C3bmsDyrWVbhuhx7D+nxtRYQfcmxpibQnikhvnbs/XWG3ewUWBl9s/ogHesX4345FR+WbebmKQUQrzd+HnkSzjlLrfyIC5R7/0z6ZlZTFq8iaiEJMxMjPFzd+bLV56jY/1qeft8Paw3M1bv4KM/VpGUlo6Hox1v9WjN8y3qlWtaWnQZRlZmOqv+GEdGWhK+wXUZ8r/f9d51ExsVTlqyrhzcu3memZN0Tz5uWPQ1AHWb9eT5VycDUK1+e3oOGcfudb+zbv4kXDz86T9qOn4h5ZsegLid2zG2t8dr2HBMHJ1Iu3aVK+++Q0689oLb1M1dtxguoDQ1xWv4q5h5eqJKTyfx8EFuTByPKqV8BvzKyq5edZrs0M1ADp3yEQB35q0kbOjYigqrWE07a/OYXhsyZiYm+duQAnns+C5tGzLn6wJtyCuTqFPO7UPqkX3E2tjh0GsAxnYOZIbf4MG3n+W9zNPYySVv3f2HTNy9sAipzv2vPy7ynMb2Dji/NAwjO3tyEuJJPrCD+NVLyjUdAKu2J2BmquS1vq5YWSi5eCODib/c1+ufuzubYGut659fC8/k61kPGNDNiec7ORAVm8MfK2PYe1xbHtRq8HIzpVVDW2ytjUhOVXEtPINPpt/jTkT5zHDedjQTUxMFL3WwxMJMwfV7Ofy0IlWvT+hsb4SVRf5lZZQM6WqFVe5SXtfv5TBlYYresl7NapvR5RndTZcx/bSzl+dvSuPwecOm5WnoD3aqFUR8ajo/bz1CTHIaIZ7O/PxKV5xyl1uJSEgu9ETUo7StHsAnz7Xkj10n+XrtPvxc7Jk6oBN1/cv3qaNdp3MwNVHQp6UpFqZwM0Jd6P1MTrYKrMwfPz05KgjyNqJ5TRNMjSEhRcPZGyq2nyifN8Vu3J+KmamCwd1tsTRXcjU8iynz4/X6hK4Oxlhb5VvGxFbJ633ssbZUkpyq5kp4FhN/j9VbdmbroTRMjBW81NkWawsF4RE5fDM3jqj48nlKffGqe1iYKXnvtcpYWxlz9mIS/5t4gax8s/893c2xs9V/KrJeTTvcXczYuKN07+wRQhieQlOwh/QYPvjgA5YuXcqff/5JixYtANizZw+vvPIKffr0YcqUKU8cyJ/FP9X3rxFfxjWN/ymG3Xy3okMwiGF3RlV0CGXWuatfRYdgEBcvpz96p3+42Oh/5kDDk6pRy/nRO/0LFFj68V8ptvzHbf8W+3c9+gmyf7qQGh4VHYJBjPUpeSmOf4tNVk/26P4/UaUxz1R0CAYRdeTf/0h30u5Lj97pX6Dhb0/HS1j/Zz+9okMoMw+fp6MvFRRsV9EhlNlr6h8qOgSD+OTBsIoOwSCiHyRVdAhlduvcjYoOwSD2rHw6+iF/p61n/v5loP7tOtR6giVB/iVKNZN84sSJ3Lp1i7Zt22JsrD2FSqVi0KBBTJo0yaABCiGEEEIIIYQQQgghhBDlpVSD5KampixdupQvvviCU6dOYWFhQc2aNfH19TV0fEIIIYQQQgghhBBCCCFEuSnVIDnA7Nmz+e6777h69SoAQUFBvP322wwb9nQ8KiSEEEIIIYQQQgghhBDi6VeqQfLPPvuMadOmMXLkSJo0aQLAoUOHeOeddwgPD2fChAkGDVIIIYQQQgghhBBCCCEMTf10vGJQlFGpBsl/+eUXZs6cSb9+uhcrde/enZo1azJy5EgZJBdCCCGEEEIIIYQQQgjxr6AszUHZ2dnUr1+/0PZ69eqRk5NT5qCEEEIIIYQQQgghhBBCiL9DqQbJX375ZX755ZdC23///Xf69+9f5qCEEEIIIYQQQgghhBBCiL9DmV7cuXXrVho3bgzAkSNHCA8PZ+DAgYwZMyZvv2nTppU9SiGEEEIIIYQQQgghhBCiHJRqkPzcuXPUrVsXgOvXrwPg7OyMs7Mz586dy9tPoVAYIEQhhBBCCCGEEEIIIYQQonyUapB8165dho5DCCGEEEIIIYQQQggh/lYajUzyFaVck1wIIYQQQgghhBBCCCGEeBrIILkQQgghhBBCCCGEEEKI/ywZJBdCCCGEEEIIIYQQQgjxnyWD5EIIIYQQQgghhBBCCCH+s2SQXAghhBBCCCGEEEIIIcR/lnFFByCEEEIIIYQQQgghhBAVQaOp6AjEP4HMJBdCCCGEEEIIIYQQQgjxnyWD5EIIIYQQQgghhBBCCCH+s2SQXAghhBBCCCGEEEIIIcR/lgySCyGEEEIIIYQQQgghhPjPkkFyIYQQQgghhBBCCCGEEP9ZxhUdgBBCCCGEEEIIIYQQQlQENYqKDkH8A8hMciGEEEIIIYQQQgghhBD/WTJILoQQQgghhBBCCCGEEOI/SwbJhRBCCCGEEEIIIYQQQvxnySC5EEIIIYQQQgghhBBCiP8shUaj0VR0EAA3rl+v6BDKLEltW9EhGMTpey4VHYJBdHM+WNEhlFm2sUVFh2AQdxT+FR1CmbkYRVV0CAZhnpNa0SEYRJrJv7++NVZnVXQIBpGkcKjoEMosXWVe0SEYhFKhrugQDCI6zbqiQyizlEzjig7BILJz/v0vsbJtVaWiQzCIrAMXKjoEg6jncKWiQygzU1VGRYdgEPeUvhUdQpldj7Wv6BAMopnjuYoOwSBijdwqOoQy88z4949LAThVf6aiQ/jXWX8yp6JD+NfpWvfp6O/m9/SlSAghhBBCCCGEEEIIIR7DP2P6sKhostyKEEIIIYQQQgghhBBCiP8sGSQXQgghhBBCCCGEEEII8Z8lg+RCCCGEEEIIIYQQQggh/rNkkFwIIYQQQgghhBBCCCHEf5YMkgshhBBCCCGEEEIIIYT4zzKu6ACEEEIIIYQQQgghhBCiImg0iooOQfwDyExyIYQQQgghhBBCCCGEEP9ZMkguhBBCCCGEEEIIIYQQ4j9LBsmFEEIIIYQQQgghhBBC/GfJILkQQgghhBBCCCGEEEKI/ywZJBdCCCGEEEIIIYQQQgjxn2Vc0QEIIYQQQgghhBBCCCFERVBrKjoC8U8gM8mFEEIIIYQQQgghhBBC/GfJILkQQgghhBBCCCGEEEKI/6xSDZL/+eefLFu2rND2ZcuWMXfu3DIHJYQQQgghhBBCCCGEEEL8HUo1SD558mScnZ0LbXd1dWXSpEllDkoIIYQQQgghhBBCCCGE+DuUapA8PDwcf3//Qtt9fX0JDw8vc1BCCCGEEEIIIYQQQgghxN/BuDQHubq6EhYWhp+fn972M2fO4OTkZIi4hBBCCCGEEEIIIYQQolxpNBUdgfgnKNVM8n79+jFq1Ch27dqFSqVCpVKxc+dORo8eTd++fQ0doxBCCCGEEEIIIYQQQghRLko1k3zixIncunWLtm3bYmysPYVarWbgwIGyJrkQQgghhBBCCCGEEEKIf41SDZKbmpqydOlSvvjiC06fPo2FhQU1atTA19fX0PEJIYQQQgghhBBCCCGEEOWmVIPkDwUFBREUFGSoWIQQQgghhBBCCCGEEEKIv1Wp1iTv3bs3X3/9daHt33zzDc8//3yZgxJCCCGEEEIIIYQQQggh/g6lmkm+d+9ePv/880LbO3fuzNSpU8sa02NZt24dy1esID4+ngB/f15//XVCQkKK3Pf27dvMnz+fq9euERUVxYgRI3iuZ0+9fZYuXcqBgwe5e/cupqamhFatyiuvvIK3t3e5pmPL+hWsW7mYhPg4fP0rM+TVdwgMCS12/0P7d/LXgllER0bg7ulN/8GvU6dBk7yfL1s4m4P7dhAbHYWxsTH+gSH0HTiCoJBq5ZoOjUbDvnUzOL1vGZnpSXhXrkvHlz7H0c2v2GMObvqNy6e2EhdxA2NTc7wC6tC613s4uQcUef6/fhjOjfP76P36TwTXbmfwNKzYtIOFazYRl5BIoJ8PY4b2JzSocCwAa7btYfOeA9wIvwdASIAfr/Xvrbf/rKWr2b7/CFGxcZgYGxMS4MerL/WiWnBlg8f+0KoNW1iyeh1x8YlU9vNh9IghVA0OLHLfm+F3+GPRMq5cv0FEVAxvDR3I892f1dtHpVIzZ8kytu7eT1xCAs6ODnRq05KBL/RCoVCUOk6NRsOKRb+za+sa0lJTCK5akyGvv4+7p0+Jx23bsIwNqxaSGB+Lj38QA0e8S+VgXd7Oyspk0R/TObxvG9nZ2dSs04jBr72PnYNToXMlJyXy0ej+xMdG89ui7VhZ2wBw7OAudmxaye2bV8jOzsLbJ4Be/YbTtkHReaEka9dvYPmKlcTl1lNvvPYqVUKCi9z31u3bzFuwkGvXrhMZFcWrw4fRq2cPvX3WbdjIho2biIyMBMDX14f+/frSoH79J47tcRk6T6WlpTN70V/sO3yM+MREgvz9GDl8MFWDyq9cwNPRZqxZv5FlK1cRF59AZX8/3nx1eAn5KZy5Cxdx9dp1IqOieX34K/Tq0V1vn3kLFzN/8VK9bZW8vfjj15/KLQ0Am9avYs2KJSTEx+HnX5mhr40mKKRqsfsf3LeLxQv+IDoyAg9PLwYMeY16DRrn/fyHaZPZvWOz3jG16zbk04nfljrGiq6j9u5Yz6bVi4m4H46FpRUNm7Zh8GvvF/p9Effv8Mk7A1Eqlfy+eEehn2/dsJz1KxeSGB+Hj38gg14dQ2Bw8f2Bw/t3sGzB78REafsYfQe/SZ36z+j9vyxfOJNdW9eSmppMcNWavPLG+3h4VgLgwtmTfPHRm0Wee+LU2VQODuX+3dv88fM33L1zk/TUVOwdnWnasgO9+g3Ne8/Nk9JoNGxa9hOHdqwgPTUZ/5DaPD/sU1w9il8G8NqF4+xcN4c7Ny+QFB/N0Pe+p2aDtnr7nDmynQPb/+LOjQukpSTyv6+X4e1XpVQxPm46dqz8gWO7l5GRloxvUB26Dx6Hs7tfscfcvHSMfRv/4P6t8yQnRNN/9A+E1tPvI308sOjy1enF92jeZaghk1AkjUbDrtU/cHLvMjLSkqgUWJeuA8fhVEIfcd+G37h4YhsxD7R9xEqBdWjf512cPZ68LS4vjs3qE/DuUOzqVsfc05Xjvd8gcm3hclhRNBoN21b+yLFdy0hPS8YvuA49B39WYn66cek4ezf8wb3c/PTy6BlUq1+4zx117zqblk7jxqVjqFUq3LwqM2DU99g7exo8HU9D2/dv6Z8XZOg25OjB3ezYtIqb1y+RkpzEpOlz8QvQ/1vu2Lyag3u2cuv6ZdLT05i5eGteH91QNBoNO1f9wPE92rrWJ6gO3QeOw6mEsnHr8jH2b/yD+7e1ZaPfyMJ1bWZGKtuWTePiyR2kpSTg4OJN43YDaNimr0HjB1i1YTNLV63NLRe+jBrxClWDi37C/2b4Hf5cuJQr128QGRXNm0MH06dHF719+g57g8io6ELH9ni2I2+/NsxgcW9av5K1uX1A37w+YPFjHwf37WLJgtl6fcC6+cY+8vvtxyls27SWwcPfomvPF/K2fzX+Q27dvEZiQgJW1tbUrF2fAUNew9HJ2SBpehrGEISWBsPVn+Lfq1QzyVNSUjA1NS203cTEhKSkpDIH9Sh79uzh95kz6f/SS/zwww/4BwTwyaefkpCQUOT+GZmZuHt4MGTIEBwcHIrc5+y5c3Tr2pXvpk1j0pdfkqNS8fHHH5ORkVFu6Ti4dwfzZv1I735D+Gr6bHz9A5n02RgSE+KL3P/yxbPM+GY8rdt35asZf9CgcXO+/XIs4bdu5O3j4VWJIa+9w7c/zWX8Nz/j4ubBl5+OISmx6HMayuEtMzm+cz6d+n/OoA//wsTMgqUzhpKTnVnsMeFXjlKvVX8GfvgXfUf/iVqVw5LpQ8nKTCu077Edc8GAnb6Cth84wow5S3jlhR78+e3nBPpW4p2JU4lLLDo/nzp/iXbNGvPD+A/4bdInuDo78vaEKUTH6v6ffTzdeHfYAOZPm8gvX3yEh6sTb0+cSnwx5yyrnfsO8tMf8xn0Yh9mTptMZX9f3vt8MvEJiUXun5GZhaebKyNefglHB/si91m0cg1rNm3n7VeHMO/Hqbw68CUWr1zHivWbi9z/ca1fOZ+t6//ildc/YPy3szEzM+frcaPJyio+vxzet42Fs6fzXN+hfPHdXHz8Avl63GgSE+Ly9lk463tOHd3PyPcn88mkX4iPi+H7yR8Web5ZP3yBj1/hC5RL509RvXZD3hv3HV98N5eqNeox9Yt3uXb9+hOlcffeffw+cxb9X+rHTzO+J8Dfn48//azYeiozMxMPd3deGTwIx2LqKRdnZ14ZPIgfp3/PD9O/o1bNmnw+8Utu3b79RLE9rvLIU9/8+BvHT5/l43fe5M8Z39KgTk3e/ewLomPjitzfEJ6GNmP33v38NusPBvTryy/TpxHg78fYz8YT/4j8NHTQwGLzE4Cfjw9L5/+Z9/nu68nlEv9DB/buZM7Mn3jhpUF8O2Mmvv6Vmfjpe8W2e5cunOO7bybStsOzTJkxk4ZNmvPNFx/rtXsAdeo1ZNb8lXmfd97/rExxVmQdtXH1IpbN/5VufQby1Y+L+XDCD9So07jgryMnJ4efpnxKSGitIuM5tG87C2bNoFe/oXz5/Rx8/IP46rN39OLJ78rFMH78dhytOnRj0vS51GvcgmlffsCd27q6b92KBWxZv4xX3nifiVNmY25uwVefvZ33/xJcpQY/z1uv92ndoTsubp4EBGkHao2MjWnWpjNjJ0xnyq9LGDj8bXZuXcPyRTOL/b99lB1r/2DvpkW8MOxT3vlyIabmFvw66VWyS/h7ZWWm4+UbTJ9XPi5xn4CQOnR/6Z1Sx/Yk9m2YxaFtC+gx+HNeH7cUEzNL5nw7/JHp8PAJodvAT4vd58MZe/U+vYZ9iUKhoFqDDuWRjEIObJrFke3z6Trwc4Z98hemZhbMnzqM7BL6iLcuH6NBm5cY9slSBr77B2pVDvOnDSuyj1hRjKwsSQq7zLlR4ys6lCLt2TCbg1sX0HPION78fAkmZhb88c2IEvNTdmYaHj4h9BhUfH6KjQzn1y8G4OLhz4iP5vD2pFW06fkaxiZmBk/D09D2/Zv65/mVRxuSmZFOSGhN+g0q+mYqQFZmBrXqNqbH84MMlpaC9m2cxeFtC+g+6HNe/WwppmaWzJ366LrW3SeEri8XXzY2L/6aq2f302fEN4yatIEmHQayYcEXXDy106Dx79x3gF9mz2VQ3+f5/buvqezny/vjviw2T2VmZuLp7sqIgf2LzVO/Tp3Mirm/532mTNCms1XTogekS+PA3h3MnfkTz780mG9mzMLPP5AvSuwDnuX7bybQtkMXvp0xiwbF9AEBjhzcy9VLF4oc+K5Wsy5jPhzPjN8X8N5HE4l4cI8pk4r/Oz6Jp2EMQQihr1SD5DVq1GDp0qWFti9ZsoTQ0OLvBBrKqlWr6NypEx06dMDXx4eRb72FmZkZW7duLXL/kOBghg0dSquWLTExMSlyny8mTqR9+/b4+voSEBDAmDFjiIqO5urVq+WWjg2rl9C2Yzdat++Ct48/w978H6Zm5uzatr7I/TetXUbteo3o3vslvCv58eLLw/GvHMyW9Svy9mnWqgM1azfAzd2LSr4BDBw2kvS0VG7ffLIBvieh0Wg4tmMeTZ99neDa7XD1rkLXId+QnBDFldPbiz2u7+jZ1HymFy6eQbhVqkLXwV+RFHefiNvn9faLvHORo9v+oMvASeWWhiXrttK9XQu6tmmOfyUv3n91IGZmpqzfsa/I/T9/+1V6d2pDsL8Pft4ejH19CGqNhuNnL+Tt06F5ExrUqoaXuysBPl6MGtyP1LR0rt++Wy5p+GvNBrp2aMOz7Vrh5+PNu68Pw9zMlI3bdxe5f9Wgyrw+ZABtWzyDqUnRs/fOX7pC00b1aFK/Lh5urrRq2pgGdWpy6Wrp85NGo2Hz2iX0eGEI9Rq3xMc/iNfe+ZyEuBhOHN5T7HGb1iymdYcetGzXDS+fAIa88SFmZubs2b4OgLTUFHZvX0v/oaOpVqs+/oFVGTH6U65eCuPapbN659q+cQWpqSk823NAod/z8vAxdO39MpWDQnH39OHFgW/g7lGJw0eOPlE6V65aTadOHenYvh2+Pj6MeusNzMzN2LJ1W5H7hwQHM3zoK7Rq2aLYeqpxo4Y0bFAfLy9PvL28GDJoIObm5ly6dPmJYntchs5TmZlZ7D10lNcGv0StalXx9nBnSL/n8fJwZ82mov9fDOFpaDNWrF5D544d6NS+Lb4+lRj95uuYmZmxZVvRsxZDgoMY8cpgWrdsjkkx5RtAaaTE0cEh72NnZ1su8T+0btVftOvUlTbtn6WSjx+vvvUuZubm7Ni6scj9N6xdTp16DenZux/ePn70e3ko/pWD2bR+ld5+xiamODg65X2sbUo/66wi66jUlCSWL/iVV98ZxzMtO+Lm4Y2PfxD1GrUo9PuWL/gVT29fGjUr+smqjasX07pjd1q164q3jz9D33gfMzMz9hTTx9i89i9q1W1Et14D8KrkxwsDXsW/cghb1y/P9/+ylJ4vDKZ+4xb4+Afy+jufkRAXw/HDewEwNjHB3sEp72NtY8eJI/to2a5L3uxGN3cvWrXriq9/EC6uHtRr1JymLTty+fyZx/wL6dNoNOzZuIAOvUZQo0EbvHxDGPDmJBLjozl7rPiBidA6zenSdxS1GrYtdp8GLbrRqc/rBNcofJPC0DQaDQe2zKNV99cIrdcWd58Qnn/1K5ITorh4svi+VEitFrTv8zbV6rcvdh8bexe9z8WTO/Gv2ghH10rlkRQ9Go2Gw9vm0aLba1Sp0xb3SiE8N+xrkhOiuFRCul4eM4s6zXrh6hWEu08Ver4ymcTY+9y/db7YY/5u0Vv2cmXc90SuKT4dFUWj0XBg8zzadH+VavXa4uETwouvfkVSQhQXThQ/2z2kVgs6Pj+a6kXMHn9oy7LphNRqwbP93sPLLxQnNx9C67bB2q7wU3tl9TS0ff+W/nlBhm5DAJq36UyvfkOpXrtBsb+3c4++dH9+IIFVqhssLflpNBoObZ1Hy+6vUbWutk7qPfwrkuNLrmuDa7agXe+3Ca1XfF0bfu0UtZv2wL9qQxxcvGjQ6gXcK4Vw70aYQdOwbM16unRoS+d2rfHzqcSYN0ZgbmbKpu1Ft3lVggJ5bchA2rRoWmy/1t7OTq9MHDp2Ak93N2pVN9zYTsE+4IjcPuDOrRuK3H/j2uXUrteQHnl9wGG5fcCVevvFxkQz+9fpjP7fpxgZFS4z3Z57geAq1XBxdadKaA2ee74/Vy9fICcnp8xpehrGEIQQ+ko1SP7pp58yceJEBg0axNy5c5k7dy4DBw7kyy+/5NNPDXNXrjjZ2dlcvXaN2rVr521TKpXUrl2bi5cuGez3pKWmAmBThgvtkuRkZ3Pj2hVq1NYtk6BUKqlRuz5XLxV9AXDl0jmq19ZfVqFW3UZcuXSu2N+xY/MaLK2s8fUv+pE+Q0iIuUtqUjR+VXWP05lb2ODpX4t7N0499nky0pMBsLCyy9uWnZXOmtnv0qHfZ1jbuRgu6Hyys3O4fP0W9WvqHh9UKpU0qBnKuSvXHuscGVmZ5KhU2FpbFfs71mzbjbWlBYF+hr8ozc7O4cr1m9SrVSNvm1KppF6tGpy/fKXU561WJZiTYee4c+8+ANdu3ubshcs0qlu71OeMjrxPYnws1Ws1zNtmaWVN5eBqXL18tshjcrKzuXntEtVq645RKpVUq9Ugb3Dp5rVLqHJyqJbvvJ7efji5uHP1sq6M3Au/waqls3ntnXEolI9+OkGtVpORnvZEdcHDeqpubd0MT6VSSZ3atblgoAFtlUrF7j17yczIoGpVwz/+Xx55SqVSoVKrMS3QQTczNeXsRcPV3/k9DW1GdnY2V65dp27tmnnblEoldWvXKnN+un//AS8OHMLLQ19l8rfTiCriUVtDyc7O5vq1K9SsXS9vm1KppGbtelwptt07r7c/QO26DbhcYP/zZ08z5KUejBwxgN9+mkpyUtGzqR5HRdZRZ08fRaPREB8bzftvvMjIIV2Z8fVHxEZH6qf3zHGOHNjBoNf+V0I8l6leSzcQoVQqqV67gV59mN/VS+cKDVzUrNOIq7l9jKjI+yTEx+rto/1/Cc3bp6CTR/aRnJxIy3Zdi/w5aJeMCTt5mKrV6xS7T0lio+6SlBCjN5BtYWmDb2ANbl4t3cB7RYiPvktKYgyVq+lm7Zlb2uAdUJPwa4ZLR0piDJfP7KF+i94GO2dJtOmKJiA0Xx8xN113r59+7PMU1UcUxYuLvktyYgyB1fXzU6WAmty+drrU51Wr1Vw6swdndz9mfzOciW8046dxL3L+uOFvFDwNbd+/qX+eX3m0If8UeXVtaIG6tnJN7lwvW13rE1iHy6d3kRQfiUaj4cbFI8RE3iKwetOyhp1HWy5uUK9guahVk/OXSp+nCv6Obbv30bldG4Mt35OdO/ZRs9DYR71CfbqHiu4DNtTrM6rVan6Y+gU9evelkq//I+NITk5i3+5thFStXuol3h56GsYQhBCFlapm6NatG6tXr2bSpEksX74cCwsLatasyfbt22nZsqWhY9STlJSEWq0u9Ai8g709d+/cMcjvUKvV/Pbbb4SGhuLn52eQcxaUlJSIWq3Czt5Rb7udvSP37xa9dEJCfBz29g4F9nco9NjbiaMHmP7N52RlZmDv4MTHE7/D1s7eoPHnl5qk7Vha2erPILGydSI1MeaxzqFRq9n+1yS8K9fFxUu3Nt32vybjHVCnXNYgfyghORmVWo2jvf4sEkc7O27fi3isc/w8fxnODvZ6jSTAgeOn+ey7X8nIzMLJwY7vx72Hva3hB9ESk5JQqdU42OtfPDrY2xF+916pz9u/dw/S0tJ5+c13USqVqNVqhg14kfatmpX6nAnxsQDYFsj7tvaOJMYX/QhnclJCseXlwT1teUlMiMXY2KTQuoV29o4k5v7O7OwsfpryKf0Gj8TZxZ2oiEf/32xctZCMjHRaNn/8ND+spwqWVwd7e+7cKdssgJu3bvH2u/8jKysLCwsLPvvkY3x9Sl4nuTTKI09ZWlpQLSSIeX+txNfbCwd7e3bsO8D5y1fwcnc3RNiFPA1tRmJSsjYN9vZ62x3s7bhzt/T5qUpIMO+9M4pKXl7ExsWzYPES3vngI2b+NANLS4syRl1Ycm67V1Q7du9OeJHHJMTHYVdgf3t7BxLy1RV16jWk8TMtcHV3J+LBfRbNnckX495n0pSfMTIyeuI4K7KOioq4h1qjZu2yObw8fAyWllYsW/gbX302kskzFmJsYkJyUiK/T5/A62PGY2lpXXI8Dk/Qx0iILTL+hARtbA9jLGqfhz8raNe2ddSs0wgnZ9dCPxv3v+Hcuq5990Objj3o0394ked4lOTc+GwKzGK1sXMiOeHx+iD/BMm5/aWCs3Gt7ZxJSTDcAN7J/asxM7citISZ54aUkttHtC7UR3Qm5TH7iGq1ms2LJ1EpsC5u3kWvRS30pSQ8zE/6Sw9Y2zk99v97UVKTYsnKSGP3ull06DOKzi+O4UrYfhbMGM3wsXMIqFr8DOEn9TS0ff+m/nl+5dGG/FOkFFPXauukstW1XQZ8wpo5n/HtO61QGhmjUCjoMWQCfiHlUS6KyFP3Sp+n8tt/5Bgpqal0atvKIOcDXR+wcJ/OscQ+oH2hPKXfB1y9fBFKIyOe7d6nxN8//49f2Lx+FZmZGQRXqcbYcV+VMiX54nsKxhCEEIWV+vZZly5d6NKly6N3LEJmZiaZmZmFtpmZGX4tu9L46eefuXX7NlOmTKnoUEqlWs26fDPjT5KSEti5ZR3ff/0ZX079vVCjVFrnjqxl88Jxed9feOu3Mp9zy+LxxNy/yoD/LcrbdvXMDm5fPswrH68q4ciKN2/lBrYfOMpP4z/AzFR/hmzd6lWZO2U8CckprN22h0+n/sLMrz7FsZyXNDCUXfsPs23Pfj4dMxI/H2+u3bzFj7Pn5b0g6HFs272fb38Zkvf9vc+mlVe4j7R03s94VvKjWevOj7X/wT1bWLVkFu98/C32BS7SKoq3lxc//zCdtNQ09h04wJRp3/Ht15PLZaC8PHz8zpt8/cNv9H7lDYyUSoIq+9O2eVMuXy+8vuC/xb+1zWhYXzc7J8Dfj6ohQfR/ZQR79u+nc4e/ZwDNEJq11C2X4etXGV+/yrw5rB/nz54uNAOpKHt3bePXH3UvHa/IOkqj1qDKyWHgiDF565C/+d5E3hz0LBfOnqBm3cbM/nESTVp2pEopZ17/XWJjogg7dYTR739R5M9Hvf8F6elphN+8yqI/f2TDqkV06114CayCju9bz9KZE/K+v/ph+b5otrycPriONX9+nvd94Lu//C2/98TeldRq0hUT0/Lpc4cdWse6ebo+Yv+3fy3zOTcumEDUvau8MnbRo3f+jzp1YB2r8uWnwe+W/f+9KBqNBoDQem1o3lm7ZrSnb1VuXz3NkZ1LDTpIXl6ehrbPEP3z/4ozB9exdu7ned8HvFN+de3h7Qu4c/0M/Uf/jL2zJ7cuH2f9/InY2rtSudozjz7BP8TGbTtpVK8Ozk6Oj965Al2/epmNa5bzzYxZj5zx3qN3P9p27Ep0VATLFs3hh6lfMvbzrw36otsn9TSPIQjxb1amZ0yOHz/OxYsXAQgNDaVevUdfjAJMnjyZ8eP1X3IzauRIRo8e/chjbW1tUSqVxMfrv+AhPiEBB8eyV+Q///wzR48e5dtvvsHF2TBvPC6Kra0dSqVRoVngiQlx2DsUvaafvYMjCQVebJGYEF/orr25uQXunt64e3oTXKU6o4f3ZefW9Tz3wssGiT2oVhs8/XXLSKhysgDt7BJrO91ssdSkWNwqPXoZiC2LJ3Dt7G4GvLcAWwfdbNJblw4THx3OtHf0O9wrfx1JpaD69H93fhlTomVvY4ORUklcgv7LMOISEwvdGS5o0ZpNLFi1genj/lfkI1AW5mZ4e7jh7eFG9eDKvPDmB6zfsZeBvYp/9Lw07GxtMVIqC72wJT4hsdgXtDyOX+YsoH/vHrRtoe3YVfbzITI6hoXL1zx2J7xpw3rYh7TK+56Tkw1AUkIcDo66MpaUEIdPQNFvZbextS+2vDzM/3b2TuTkZJOakqw3UzMxIQ673DJ1Iew4d25f5+gBbXo0aC/2Xh/QkR4vDKb3SyPyjju0dyuzfviSkR9MonrthkDUY6UXdPVUwfIan5BQ7IsgH5eJiQlenp4ABAUFcvnKVVavWcvokW+V6bwFlVee8vJwZ8akcaRnZJCWlo6TowOff/M9nm5uZYy4aE9Dm2Fna6NNQ4EXlcUnJJY5P+VnbW2Nt5cn9+8/3uyXJ2WT2+4V1Y7ZOxT9t7B3cCz0QqeEEvYHcPfwxNbWjogH9x5rkLxBo6ZUCqyd970i6yh7R+2/npV0jwzb2jlgY2NHbLT273Lh7HFOHt3HxlULAW09plGrGdjzGYa99QGt2nfTxRP/BH0Me6ei+yT22v0fxphY4P8lMSEO34DCs3v3bF+PjY0ddRs1L/L3Obloy7y3jz9qtZpZP35Fl579UD5i9n/1+q3xDdI9Zp6Tre2DJCfGYuegW5YtOTEWLz/DL0VlKFXrtKFS5cLpSEmMxdZe15dKSYzBw7eqQX7nrcvHiXlwk75vlt+NoJDarfEK0KXrYR8xJSkWG/v8fcQY3H0ena4NCyZw5cxuhny4ADvH8nni6GkQWrcNlQLz/b/n5acYbO115SIlMRYP39KXC0sbe5RGxrh6Vtbb7uoZwK0rJ0t93qI8DW3fP7l/XpLyaEMqSpU6bfDOX9fm6Ora0tRJxcnOymD78u/pN3IGIbVbAeBeKYSI8Ivs3/SnwQbJdeWiiDxlgAk9EVHRnDwTxvgPi17OrbRs8sY+Cvbp4krsAyYUylO6PuDF82dITIzntcHP5/1crVYxb/bPbFiznF/+/Ctvu62dPbZ29nh6VcK7ki+vDurDlUvnCala+rXvn4YxBKFPranoCMQ/QanWJL979y7NmzenYcOGjB49mtGjR9OgQQOaNWvG3cd4/G3s2LEkJibqfV577bXH+t0mJiYEBQZy+oxuzTC1Ws3p06epWqX0nT6NRsPPP//MwUOH+GryZNzL6dH/h4xNTAgIDObsmRN529RqNefOnCCoSrUijwmuUp1zp4/rbTt76hjBj3ixiUajzrv4MgQzc2scXX3zPs4egVjZunDr0qG8fTLTU7h/8wxeAcXPdNNoNGxZPIErp7fx0jtzsXfWbyCadBrBsE/XMvST1XkfgLYvjKXLIMO9xNPExJiQyn6cyPfCDLVazfGwi1QPLn4t9wWrN/Ln8nVM+/RdqgY+eg00ALVGQ1Z22V8SUpCJiTHBlf05EaZb90+tVnMy7BzVQkr/aHJmVlahdbuVSiVqjfqxz2FpaYG7Z6W8j1clf+wcnDh/5ljePmlpKVy/cp6gkBpFnsPYxAT/wCp6x6jVas6HHSOwivYY/8AqGBkbcz5Mt8/9u7eJjY4gKERbRkZ/+BWTpi/gy+nz+XL6fIa99REAn371G+2e1T2md3DPFn6f8QVvvjeROg2e/NHVh/XUqdO6F/Vo66kzhFYJeeLzlUSj0ZCdnW3Qc0L55amHLMzNcXJ0IDklhWOnw2ja6PFusj6pp6HNMDExITiwMqfO6OenU2fCDJqf0tPTefAgAkdHww0+5GdiYkLlwGDOntZv98JOnyS42HavGmH52kmAsFPHCSlmf9DOYE5OTsKhmAv5giwsLf8xdVRwVe0N6Af3dI8epyQnkpyciLOrNo+N+2ZWXh325fT59HlpBOYWlnw5fT71m7TMF08I58N0fQa1Ws35M8fzfldBQVWqc+5MgT7G6aME5fYxXN08sXdw4ny+fdLSUrl+5ULePg9pNBr2bN9A89adHmvNT7VGjUqVg1rz6KsTcwsrXNx98j7u3pWxtXfmytkjeftkpKVw+9pZ/INqlXCmimVmYYWTm2/ex9UrEGs7Z25cOJy3T0Z6CndvhOETaJh0HN+zAk+/anj4lN/NAzMLa710uXgGYm3nws0Luj7iw3R5V65d7Hk0Gg0bFkzg0sntDHp/Dg4u3uUW89PAzMIKZzffvI+rVyA2ds5cO6+fn+7cCMM3303BJ2VsbIq3f3ViIm7qbY+OuIW9s2epz1uUp6Ht+yf3z0tSHm1IRSlU13oWU9deD6NS5dLXtSpVDipVNgql/vCKQmmExkB/F3hYLgI4eUb3jhRtnjpLtSpl759v3r4Lezs7mjSoW+Zz5WfycOyjQB/w7OmTxfbpgqtU4+wZ/ZtvZ04dy+sztmzTkak//smUH2bnfRydnOneqy+fTCz+6U517khoWa+fnoYxBCFEYaWaST5s2DCys7O5ePEiISHaTsrly5cZMmQIw4YNY/PmzSUeb2ZmVmhplZgnWGrlueeeY+q0aQQFBRESHMzqNWvIzMykfXvtI3JTpkzBycmJIUO0SzxkZ2cTHq694MzJySE2Npbr169jYWGBZ+6MzJ9+/pndu3fz2WefYWFhQVyc9q6llZVVuS0D06VnX37+7ksqB1WhcnBVNq75i8yMdFq10y5j8+PUiTg6ufDSYO0NhM7dn2f8h2+xbuVi6jZ4hoN7t3P92iWGv/U+ABkZ6axaOo96jZri4OhMclICW9avJC42hsbNWpdLGgAUCgUN2g7k4MZfcHT1xc7Zm71rpmNj76q3lviiaYMIrtOe+q21j1NvWTyeC0fX0+eNnzE1t8pbB87MwgYTU3Os7VyKfFmnnaNnoQH1surbrQNf/DCLKpX9CA0KYOn6rWRkZtK1jXaAdMKMmbg42vP6AO2d6vmrNjBryWo+f/tVPFyciY3X3s23MDfD0sKc9IxM5q5YR7MGdXCytyMxOYUVm3cQExdPmybl8yjqCz26MHn6L1QJDKBKUCDL120kPSOTzu20gyZffvcTLk6OjBjYD9C+CORW7vrY2dkqYmLjuHrjFhYW5nh7aAdjnmlQlwXLVuPm4oxfJW+u3rjFX2s28Gy7VqWOU6FQ0Kl7X1b/9SdunpVwdfNk+cLfsHd0pl5j3eyXSZ+8Sf3GrejQVft/3rlHP377fgL+gVWpHBzK5rVLyMzIoGVb7R11SytrWrXrzsLZ07G2tsXC0op5v08lqEqNvEEqNw/9i+zkpARA+/K8hzM7D+7Zwm/fj2fA8DFUDqmetz6xpUUqVlZFv1SlKL2e68mUad8RHBRISHAwq9asISMjgw7ttWXim6nTcHZy4pXB2seVtfWUdo3s7Lx66gbmFuZ5M8f/mDOXBvXr4eLiQnp6Ort27yHs7Fm+nDi+6CDKqDzy1NGTZ9CgwcfLk7sPIvh1zkJ8vDx51oDrHhb0NLQZvXv24JvvpufmpyBWrVlHRkYGHdtplxr5eur3ODs5MXTwy3lpuH1Hl59iYuO4duMGFuYWeHl6APDb7D9p3LABbq4uxMbFM2/hYpRKJa1bFj3z1xC6PfcCP0ybTOWgKgQFV2H9muVkZqTTpr12CaQZU7/E0cmFAYO1T3V06d6Hzz4cxdqVS6nboDEH9u7k+rXLvDbyPQDS09P4a9FcmjRtgb2DIxEP7jP/j19x9/Cidr3S1bUVWUd5ePlQr1ELFsycxitvjsXC0oq/5v2Mp5cvVWtoX3blVUn/gurmtYsolUoq+VZGqdBdiD/bsx+/fjeRgMAqVA6uxqY1S8jIyMh7iebP08bj6ORC30FvANCp+wtMHPsGG1Ytonb9Zzi0bzs3rl1i2Fsf5vt/eZFVS+fg7lkJFzcPli2Yib2jM/Ubt9CL6XzYcaIj79OqQ/dC/7/7d2/B2MiISn6BGJuYcPPqRZbO/YXGzduV6iVaCoWCls8OYOuq33Dx8MHJ1YuNS3/EzsGFGg3a5O3348Rh1GzQhhadXgIgMyON6AjdzYjYqHvcvXUJS2s7HJ21ZSQ1JZH4mAckxmufJIq6fwsAW3tnbO0N++SIQqGgaceB7FrzK05uvji4eLN9xQxs7F2pWlfXl5r91RBC67WjSfv+uelIJTZSl4746Lvcv30RSys7vUHLjPQUzh3dQueX3jdo3I+iUCho3H4ge9f/iqObHw4uXuxcpU1XlXzpmvvtYKrUbUejtto+4oYFEzh7eD39Rv2EqbkVybl9RPPcPuI/gZGVJVaBuqXOLP29sa1Vhay4RDLuPKjAyHLzU6eB7FzzG87uvji6eLN1+Qxs7V0Jradbomrm5CFUq9+OZ4rJT3HR9wrlpxZdXmHxj2PwD6lPQGhDroTt59Kp3Yz4aI7B0/E0tH3/lv55QYZuQ0B70zcmOpL4OO264A9vCNs7OOXNUE+IjyUhPpbI+9r/gzu3r2NuYYmzixvWNmV/ca9CoaBJh4HsXvcrju6+ODh7s2PlDGwc9OvaP78eQtV67WjcTlc24vKVjYSYuzy4fRELazvsnTwxt7DGL6QBW5Z+i4mJOfbOnty8dIzTB9bQud8HZY47v+d7dOWr738iOLAyVYMDWb52AxkZmXRqq73en/TdD7g4OjJ8kDZ2bbnQ/n/m5OQQExfLtRs3sTA3zysXkPv+hx276NimZane6fIo3Z57gR+nTaZyUAiBwVXZsGYZmRnptG7/LKDtAzo5OdN/8KsAPNu9D+M+HMXalUuo16AJ+/fu4Ma1y7w2UjvL3cbWDhtb/TxhZGSMvYMjXt7auvnKpQtcv3qRKqE1sbaxIeLBPZbMn427hxchVYufcPG4noYxBCGEvlINku/Zs4eDBw/mDZADhISE8MMPP9C8efldXD/UsmVLEpOSWDB/PnHx8VQOCGDihAl5j95FRUfr3cWNi4vjrZEj876vWLGCFStWUKNGDb75+msANmzYAMAHH+g3YmPeeSdvIMXQnmnRlqTEBP5aMIuE+Dj8AgIZO2Fq3iNEsdGRKPOlI6RqDUb+bxxL589kybzfcff05n8fT8bHLwDQziC4d/c2e3ZsIjkpERtbWyoHVeXzr3+ikm9AuaThocYdh5Odlc6mBZ+RkZZEpcB6vDBqFsYmusGihJg7pKfoHrE6tWcxAAun6i8D02XQZGo+06tc4y2oXdNGJCQmM3PJauISEgny92HaJ2NwzH0pSmRMLMp8a5at2rKL7JwcPp6ivxbqKy/0YNiLPVEqldy+94CNuw+QmJSCnY01VQL9+PmLsQT4eJVLGto0f4aEpCT+WLSMuPgEAv19+Xbch3mP3kXFxKDMN+skJi6OYe/oOq5LVq9nyer11K5elelfatcTHT18CLMX/cV3v/5BfGIizo4OdO/YjkEv9i5TrF17vUxmRjp//DSZtNQUgkNr8f7n0zHNt0ZqVMS9vEFsgMbN25OUmMCKRb+TGB+Lb0Aw73/+fd4SAAD9h72NQqlg+ldjycnOokadxgx+/ckGBHZuWY1KpWLur98y99dv87a3b9uG98a889jnadWiOYmJicxbsJD4+HgCAgL4csL4vHoqOjpaL0/FxsXxxijdklPLV65i+cpV1KxRnW+/mgxAQkIi3079jri4OCytrPD38+PLieOpV6d81iYujzyVkpbGzPmLiY6Jw8bGmpZNGjJsQN8yv2G+JE9Dm9GqRTMSEhOZu2Ax8fHxVA7wZ9KEcTjkPq6tTYN+fnp91Ji878tWrmbZytXUrF6NqV99CUBMTCyTvp1KclIydnZ2VA+tyoypX2NvV/aL0OI0bdGGxMQEliz4g4T4OPwDAvlkwrd57V5MdBQKhe5vUSW0Om//71MWz5/Nwrkz8fDy5v1PvszX7hlx+9Z1du/YTFpqCg6OztSqU59+Lw/FxMS01HFWZB316jvjWDjre6ZMGINSqaBKtbq8//n0Jy4jTZq3IykxnuULZ5EQH4tvQBAfjv8u70VssdGRKPP9XwdXrcmb741n2YLfWTrvV9w9KzHm46+p5KtbVqFb7wFkZqQz68evcv9favLh+O/0/l8Adm9dR3DVGnhV8isUl5GREWtXLCDi/h00Gg3OLu506NqHzj36PlH68mvb/RWyMtNZ+vt40tOSCQipw2tjf9Vbdzs28g6pyQl538Ovn+fHCa/kfV89T1vfN2zZnf5vaMvIueO7WPTLp3n7zJ2uvTDv1Od1Oj//RqnjLU7zLsPIykxn9Z/jyEhLwjeoLoPf+10vHXFR4aQl6/pS926eZ/bkQXnfNy7S1lF1mvWkz4jJedvDDm8ENNRqXLr3CZVF087adK2bq+0j+gTVY8CYmZiYFJ+u47u0fcQ5Xw/UO1ePVyZRp9nf20csjl296jTZoVv6L3SK9um0O/NWEjZ0bEWFladll6FkZaaz8o9xZKQl4xdclyH/089PsVF3SM33/3735nlmThqc931Dbn6q26wnL7yqfYqzev129Bwyjt3rZrJ2/iRcPPzoP+p7/EIM/0TY09D2/Zv65/mVRxty4sh+fpuue0/FD99o69de/YbS56VhAGzftIqVi2fn7TPhw9cBeHX0J7RsZ5j6q/mzw8jOTGdtbl3rE1yXge+WXNfev3meP77W1bWbFufWtU170mu4tq594fWpbFv+Hct++x/pqYnYO3nSrvfbNGhd+vatKG2aNyUxMYk5i5YSF59A5QA/vv7847wlfKKiYwpcY8Qz/G1dX2PpqnUsXbWOWtVD+X6SbqLNiTNniYyOoXM73Q1mQ2qaO/bxsA/oFxDIxxOm5OsDRurFXSW0BqP/9xlL5s9iURF9wMdhZm7GkYN7WbrwTzIzMnBwdKR2vUb0fnFgmfqJDz0NYwhCCH0KjeYxnm0tIDg4mAULFtCwYUO97UePHuWll17i2rVrTxzIjevXn/iYf5ok9dPxIoXT9wrP3v436uZ8sKJDKLNsY4uKDsEg7ige71GyfzIXo8dfk/yfzDwntaJDMIg0k39/fWusNtwyWBUpSVE+y7P8ndJV/4yZqWWVfyb5v1l0mnVFh1BmKZnld+Pv75SdU3EvNTMU21b/3LXpn0TWgQuP3ulfoJ7DlYoOocxMVRkVHYJB3FP6VnQIZXY91r6iQzCIZo7nHr3Tv0CsUfm8Y+jv5Jnx7x+XAnCq/u95Wew/xfIjT0c/+u/Up1GpVvD+RytVir799ltGjhzJ8eO6dceOHz/O6NGjmTKl+PWfhBBCCCGEEEIIIYQQQoh/ksee5uLg4IAi36MiqampNGrUKO/x35ycHIyNjXnllVfo2bOnwQMVQgghhBBCCCGEEEIIQ3ryNTbE0+ixB8m///77cgxDCCGEEEIIIYQQQgghhPj7PfYg+aBBuhdVDBw4kFatWtGyZUsqV65cwlFCCCGEEEIIIYQQQgghxD9XqdYkNzMz46uvviI4OJhKlSoxYMAAZs2axdWrVw0dnxBCCCGEEEIIIYQQQghRbko1SD5z5kyuXLlCeHg433zzDdbW1kydOpUqVarg7e1t6BiFEEIIIYQQQgghhBBCiHJRqkHyhxwcHHBycsLBwQF7e3uMjY1xcXExVGxCCCGEEEIIIYQQQgghRLl67DXJ8/voo4/YvXs3p06domrVqrRs2ZIPP/yQFi1a4ODgYOgYhRBCCCGEEEIIIYQQwuA0moqOQPwTlGqQ/KuvvsLFxYVx48bRq1cvgoODDR2XEEIIIYQQQgghhBBCCFHuSjVIfurUKfbs2cPu3buZOnUqpqamtGzZklatWtGqVSsZNBdCCCGEEEIIIYQQQgjxr1CqQfJatWpRq1YtRo0aBcCZM2f47rvvePPNN1Gr1ahUKoMGKYQQQgghhBBCCCGEEEKUh1INkms0Gk6dOsXu3bvZvXs3+/fvJykpiZo1a9KyZUtDxyiEEEIIIYQQQgghhBBClItSDZI7OjqSkpJCrVq1aNmyJcOHD6d58+bY29sbODwhhBBCCCGEEEIIIYQQovyUapB8wYIFNG/eHFtbW0PHI4QQQgghhBBCCCGEEH8LtUZR0SGIf4BSDZJ36dLF0HEIIYQQQgghhBBCCCGEEH87ZUUHIIQQQgghhBBCCCGEEEJUFBkkF0IIIYQQQgghhBBCCPGfJYPkQgghhBBCCCGEEEIIIf6zZJBcCCGEEEIIIYQQQgghxH+WDJILIYQQQgghhBBCCCH+kzQa+Tzpp7zExcXRv39/bG1tsbe3Z+jQoaSkpJS4/8iRIwkJCcHCwgIfHx9GjRpFYmLiE/9uGSQXQgghhBBCCCGEEEIIUaH69+/P+fPn2bZtG+vXr2fv3r2MGDGi2P3v37/P/fv3mTJlCufOnWPOnDls3ryZoUOHPvHvNi5L4EIIIYQQQgghhBBCCCFEWVy8eJHNmzdz7Ngx6tevD8APP/zAs88+y5QpU/D09Cx0TPXq1VmxYkXe98qVK/Pll18yYMAAcnJyMDZ+/KFvmUkuhBBCCCGEEEIIIYQQ4rFkZmaSlJSk98nMzCzTOQ8dOoS9vX3eADlAu3btUCqVHDly5LHPk5iYiK2t7RMNkIMMkgshhBBCCCGEEEIIIYR4TJMnT8bOzk7vM3ny5DKdMyIiAldXV71txsbGODo6EhER8VjniImJYeLEiSUu0VIcGSQXQgghhBBCCCGEEEII8VjGjh1LYmKi3mfs2LFF7vvhhx+iUChK/Fy6dKnMMSUlJdGlSxdCQ0P5/PPPn/j4f8ya5NuuV67oEMpM+ZTccuh3+f2KDsEg3owcU9EhlFmr1u4VHYJB3I3IqegQyuzmlayKDsEgQqoFVnQIBuHm/O+vcNMzKjoCwziw735Fh1BmlUOsKjoEg/jAf3VFh2AQ4Wa9KjqEMqs1o2tFh2AQSiNFRYdQZmEHLlR0CAZh2jS0okMwiFHD11V0CGXm5uNb0SEYhF+AXUWHUGZvZ31V0SEYxKen367oEAwiNeXff71045xlRYdgEFvmVnQE/z4aTUVH8O9jZmaGmZnZY+377rvvMnjw4BL3CQgIwN3dnaioKL3tOTk5xMXF4e5e8vhYcnIynTp1wsbGhlWrVmFiYvJYseX3jxkkF0IIIYQQQgghhBBCCPH0cHFxwcXF5ZH7NWnShISEBE6cOEG9evUA2LlzJ2q1mkaNGhV7XFJSEh07dsTMzIy1a9dibm5eqjj//VPxhBBCCCGEEEIIIYQQQvxrVa1alU6dOjF8+HCOHj3KgQMHeOutt+jbty+enp4A3Lt3jypVqnD06FFAO0DeoUMHUlNTmT17NklJSURERBAREYFKpXqi3y8zyYUQQgghhBBCCCGEEEJUqIULF/LWW2/Rtm1blEolvXv3ZsaMGXk/z87O5vLly6SlpQFw8uRJjhw5AkBgoP7ysjdv3sTPz++xf7cMkgshhBBCCCGEEEIIIYSoUI6OjixatKjYn/v5+aHJt4h8q1at9L6XhSy3IoQQQgghhBBCCCGEEOI/S2aSCyGEEEIIIYQQQggh/pPUhpmILP7lZCa5EEIIIYQQQgghhBBCiP8sGSQXQgghhBBCCCGEEEII8Z8lg+RCCCGEEEIIIYQQQggh/rNkkFwIIYQQQgghhBBCCCHEf5YMkgshhBBCCCGEEEIIIYT4zzKu6ACEEEIIIYQQQgghhBCiImg0iooOQfwDyExyIYQQQgghhBBCCCGEEP9ZMkguhBBCCCGEEEIIIYQQ4j9LBsmFEEIIIYQQQgghhBBC/GfJILkQQgghhBBCCCGEEEKI/ywZJBdCCCGEEEIIIYQQQgjxn2Vc0QEIIYQQQgghhBBCCCFERdBoKjoC8U8gM8mFEEIIIYQQQgghhBBC/GeVapC8d+/efP3114W2f/PNNzz//PNlDkoIIYQQQgghhBBCCCGE+DuUapB87969PPvss4W2d+7cmb1795Y5KCGEEEIIIYQQQgghhBDi71CqQfKUlBRMTU0LbTcxMSEpKanMQQkhhBBCCCGEEEIIIYQQf4dSDZLXqFGDpUuXFtq+ZMkSQkNDyxyUEEIIIYQQQgghhBBCCPF3MC7NQZ9++im9evXi+vXrtGnTBoAdO3awePFili1bZtAAhRBCCCGEEEIIIYQQojyoNRUdgfgnKNUgebdu3Vi9ejWTJk1i+fLlWFhYULNmTbZv307Lli0NHaMQQgghhBBCCCGEEEIIUS5KNUgO0KVLF7p06WLIWJ6IRqPh4MYZnDu4jIz0JLz869L2xc9xcPUr9pijW3/j6pmtxEXewNjEHE//OjTv8R6ObgEAJMbeZfbnbYs8tusr3xNcp3O5pOPAhhmcPbCMzPQkPAPq0r5vyek4suU3rpzWpcMroA4teurS8dD9G6fYt+47HtwKQ6lU4upVld5vzcbE1NygafjrzA3mnbxGbFomQc62vN+yJtXdHYrcd+2FcMZvP6W3zdRIyaE3u+V9T8vK4YeDF9h9/QGJGVl42lrSt3YAfWr4GzTuojzXxppW9SywNFdyNTyLueuSiIxTFbt/z9bWPNfaWm/b/egcxv4QA4CzvRFTx7gUeeyPS+M5dj7TcMHn0mg07Fs3gzP7tXnKq3JdOvb7HEc3v2KPObT5Ny6f2kpcxA2MTbV5qtVz7+HkHlBoX41Gw7Ifh3Pj/D56vfYTwbXbGTwNAC1rKKlTWYG5CdyJ0bDpmJq4lOL3rxeooF6QEnsr7ffoRNh7Ts31B7pbwlbm0K62kgB3BaYmEJsE+8+ruXS3/G4b92xlRYu65liaK7l2J5t5G5KJKiFP9WhpRY9WVnrbHsTk8PFPcXnf3x9kTxU//fdC7DqezvwNyYYNPpdGo+HUjh+4fGwZWRnJuPrW4Znu47Bz9iv2mItHFnPpyBJSEu4BYO8aSO3Wb1AppEXePhtnDSTi5jG940IavEjTnp+XSxr2rZvB6X3acuFduS4dXyq5XBzcVLhctO6lXy42LfiMWxcPkpIYhYmZJd6VH+5T2eBpeJiOw5tmcPZQbpvhX5c2zz+i7dv2G9fPbCUuSttmePjXoVk3/TYjNSmafWu+IfzyQbIyU3Fw9adh+9cIqt2xXNLRu60NrRtYYmmu5MrtLP5cm0BkbPHlolcbG3q1tdHbdj86m/e/j877bmetpF8nW6oHmmFupiAiJoc1u1M4dj6jXNJQlNa1lNQLUmJuCuHRGtYfVhH3mMWyWXUl7esaceiCis3H1eUbaK6lOw8zd8t+YhNTCK7kzgf9ulI9wLvIfXecOM/sjXu4ExVHjkqFj5sTL3doStcmdYrc/4v5a1ix5xjvvfgs/ds/U57JQKPRsG3ljxzbtYz0tGT8guvQc/BnOLv7FXvMjUvH2bvhD+7dOk9yQjQvj55BtfqF27Ooe9fZtHQaNy4dQ61S4eZVmQGjvsfe2bMcU6Rl174rDl16Y2TnQFb4TaLm/kLmjSvF7m/fqQd2bbtg7OyCKjmJlKP7iV06B012drnH+pBt2y7YP5sb852bxMz/tdiYPcdOxqJqzULbU08fI2La5wAY2drj+OIQLKvXQWlpRcbl88TM/5XsyPvlmYynNk8VxbFZfQLeHYpd3eqYe7pyvPcbRK7dUSGxFKdfVyfaN7XDykLJpRvp/Lo4igfRJedrRztjBj7nTN1QK8xMFUREZzNjfgTXw7V971Evu9GmiZ3eMSfPpzLhp3vllo5uzS1oXssMCzMF1+/lsGhLKlHxxdf3XZtZ0K2Zhd62iFgV42Ym5n3v39GSqn4m2FkryczWcP1eDit3pREZVz7tSPNqCmoHKDAzgbuxsOWEmvgS+ud1KiuoW1mBXW7XNiYR9l9QcyNCfz8vJ2hRXYmnE2g0EJkAS/eqySm+a1BqS45dYu6hc8SmpBPs5sgHnRpSw6vo67U1Z64xbu0BvW2mRkqOfvRy3vcdF2+z7ORlLj6IIzE9kyXDu1HF3dHwgRehYwMTGlU1xsIMbkaoWbk3i5jEx7uuaV3HmC6NTdkbls3aA7ry9Hp3Myp7rVit9wABAABJREFUGente+h8Niv2lk9b0rWpOc1qmmJhpuDG/RwWbU0nOqH4/NvlGXO6NtUfz4iIVTH+D12Hq1lNUxpUNaWSmxEWZgrGzEgkPfPvnSY88Dl3OrVywtrSiAtXU5kx9w73I7OK3X/ulFDcXQq/92/t9mh+ml9+9ZIQQl+pBsmPHTuGWq2mUaNGetuPHDmCkZER9evXN0hwJcawfSan98yn44CvsHPy5uCG6az8eSiDPt6IsYlZkcfcuXaU2s374+ZbA41Kxf5101jx01AGf7wBEzNLbBw8ePXL/XrHhB1YyvEds/ELbVHkOcvq6LaZnNo9n84vf4Wdszf7101n+Y9DGfJpCem4epQ6Lfrj7lsDtVrFvrXTWPbDUIZ8ugFTM0tAO0C+/KdhNOr4Km2f/xSlkRFRdy+hUJRqGfpibb1yj2n7zvNRm5pUd3Ng0ekbvLXmECtfboujZdHxW5kas/Jl3c0IhUL/59P2nePY3RgmdqyHp60lh8Oj+GpXGC5W5rQM8DBo/Pk928yK9o0smbkqkZh4Fb3aWPPeQAc++jGG7Jzij7sbmc03c+PzvqvyPacTm6hi1DdRevu3qm9B56ZWhF0tvpEsiyNbZ3Ji13y6DPoKe2dv9q6dztIfhjJ8XPF5KvzKUeq27I+HnzZP7V09jaUzhjJsnC5PPXRsx1xAUeR5DOWZqgoaBitYc1hNQqqGVjWUvNTaiF82qFAV02dKSoOdp9XEJWtAAbX8lbzYXMnMzSqic98n3KOxEnNTBUv3qkjLhOp+Cno3VTJ7q4qI+KLPWxadm1rSrpEFs1YnEROv4rnW1rw7wJ6Pf4otsdN/NyqHKfMS8r6ri3j2a8+JdFbtSs37npVdfh2/s/tmceHQApr3noyNozcnt81gy5zh9Bq9vtg8ZWXrTv2OY7B18gU0XD25hh0L36LHmytwcAvK2y+4/vPUbTcy77uxiUURZyu7w1tmcnznfLoOzlcuZgxl+Ocll4t6rXLLhUrFntXTWDJ9KMM/15ULd59qVGvYDVtHDzLSEtm37geWfD+U1yftQKk0KvK8ZXF8x0xO7Z1Px/5fYevozaGN01n161AGji0+HfeuHaVm8/64+2jL94H101j1y1AGjtW2fQBbFnxAZnoS3Yf/goWVA5dOrGPjnLfp994KXL0N+66Rrs2t6dDEit9WJBAdl0Of9jZ8MNiJD6ZHlVjX3onM5qs/YvO+F6wLXutjj6WFkmkL4khOVfNMLQtG9nXg05+juf2ghBMbSLNqShpVVbLqgIqEZA1t6hjxcjtjflqTQ84jxio8nRTUD1ISEff3XcBtOXqWqX9t4uMB3akeUIlF2w/yxvdzWP3F2zjaWhfa387KgmFdWuHn7oyJsRH7wi7z+Z+rcLSx5pnqQXr77jx5gbM37uBib1PoPOVhz4bZHNy6gOdHTMLRxZutK2bwxzcjeOerdZiYFl0usjPT8PAJoX7LXiyYPqrIfWIjw/n1iwHUb9Gbdr3exNzCmsh714ota4Zk3bgFzv2HE/3Hj2Rcv4R9p554fTiR2++NQJWUWGh/m2da4fTiEKJmfk/6lQuYenjh9uoY0EDMwpnlHi+AVaPmOL80nOg5P5Jx/TL2HXvi8b+J3Hl/BKrkwjFHzPgShbFJ3neltQ2VvviR1KO6vrj725+gyVER8f1E1Olp2HV6Do8PvuTOh6+hyTL8RIOHnsY8VRwjK0uSwi5zZ84K6i//qcLiKM5z7R3o2sqe6fMiiIzN5qWuzowb6cXICbfJzim6zrSyUPLVe5U4eyWNiT/dIzElB09XU1LT9CvjE+dT+WG+brQ2uxz7Uh0bmdOmnhlzNqQSk6CmewsLRr1ow+czE0vsE96LzuH7JbrBv4JtX3iEiqMXsohLUmNprqBbMwveftGGj35NRGPg5DSuoqB+kIL1R9UkpGoHtV9soWTmZnWx/fPkNA27wzTEpWivHqr7KejTVMkf29TE5PbPvZzgheZKDl3SsO2UBrUGXO0UBo8fYMv5m0zddoyPn21MDS8XFh65wBuLtrPmjZ44WhXdB7U2M2H1G8/lfS94FZSenUOdSm50CPVjwvpDhg+6GK1rG9OshjFLdmr//h0bmjC8qxnfLsl45M2FSi5KmoQacz+m6D/c4Qs5bDmqu1bNKqduVIeGZrSua8bcTanEJqrp1tSCUc9bMf6P5BLTcD9axfRlurszBfOfqYmC8zezOX8zm+dals+1RUleeNaVHu1dmDLzNhExWQzq5cGk9yoz/KNLxdYzo8ZfRqnU5S4/L3O++iCQfccKt59CiPJTqhHTN998kzt37hTafu/ePd58880yB/UoGo2GU7vn0ajj6wTWbIeLVxU6vfwNKYlRXAvbXuxxvd+YTbXGvXD2CMLFuwodB3xFcvx9Iu+cB0CpNMLK1kXvcy1sO8F1OmNqZlXsecuSjpO75tG40+sE1tKm49lBuek4U3w6+rw1m+pNeuHsGYSrdxU6v5ybjvDzefvsWjGZuq1eplGHETh7BuHoFkCVes9ibFL47mRZLDh1jeeq+9I91JcAJ1s+alMLc2Mj1ly4XewxCsDZyjzv42Spfyc47EEcXatWor63M562lvSq7keQsy3nIxMMGntBHZtYsm5vCqcuZXInMoffVyZib2NE3Solz7xXqSExRZ33SUnTNXwajf7PElPU1KtqztFzGWRmGb7np9FoOLZjHs90fp3g2u1w9a5C1yHfkJIQxZXTxeepF0fNpuYzvXDxDMLNuwpdBn1FUtx9IvLlKYDIOxc5tv0Pnh04yeCx59cwRMm+82qu3NMQlQBrDquxsYAq3sUPzl+9r+HaA20nPC4ZdoWpycoBL2fdMZWcFRy7ouZ+HCSkwv7zGjKywd2hfAb92zeyYN3eVE5fzuJulIpZq5Owt1FSt0rJF8NqtYakVHXeJyW9cF7JytbfJ6Mc8hNo89T5A/Oo1eo1fEPb4ugeQovnvyI9OYrwi8XnKZ+qrakU0hI7Zz/snP2p3+FtjE0tib5zRm8/Y1NzLG1c8j6m5oUH5wyRhmM75tH0Wf1ykfyIctF3dL5yUakKXQfnlovbunJRp8WL+AQ3wN7ZG3efarTs8TZJ8Q9IjDX8jA+NRsOpPfNo1OF1KtfQthkdB3xDamIU188Wn47nXp9NtUa9cPIIwsWrCh3667d9AA9unqJ2iwG4+9bEzrkSjTq+gZmFLVF3zhd73tLq1NSKNbuTOXkxgzuROfy6LAF7GyPqVS25rlUXqmv1r4iCfEzZeiiVG3eziY5XsWZ3CqkZGvy9DNvuFadxVSV7w9RcvqMhMgFW7ldhYwlVfEquX0yNoXdzI9YeVpFeTuW4KAu2HaBX8/r0aFaPyp6ufDygO+amJqzef6LI/etXCaBN3VACPF2p5OrES+2eIcjbjVPX9Nv7qPgkvl68nknDnsfYyPA3igrSaDQc2DyPNt1fpVq9tnj4hPDiq1+RlBDFhRPFz4YNqdWCjs+PpnoRM30f2rJsOiG1WvBsv/fw8gvFyc2H0LptsLZzKo+k6HHo/BxJuzaTtHcbWffuEPXHj2gyM7Ft2aHI/c2DqpJx5QLJB3eTExNF2tlTJB/ag3nl4HKP9SH7Ts+RtHszyfu2k33/DtFzfkSTmYFNMTGrU1NQJcbnfSyr10GTlUnK0X0AmLh7Yh5Ylei5P5F58yrZEfeImfsTSlNTrJuU3/KOT2ueKk70lr1cGfc9kWuKb0cqUrc2Dvy1OY6jYancvpfF9LkRONoZ06hW8f2FXh0ciYnP5of5kVy9nUFUbA6nL6YREaM/EzYnR0NCkirvk5pefk/xtG1gzsaDGZy5ms29aBV/rk/F3lpJ7eCS2yi1GpJSNXmf1AJ9wn1nMrl6J4fYRDV3IlWs2ZuOo50RTnaGnRgF0CBIwYGLGq7e1z6xuf6otn8e7FV8O3ftAVyPgPgUiEuBvec0ZOVobw4/1La2khPXNBy+pCEmSduPv3RXU+zAe1nMP3yBXnWC6Fk7iMou9nzSpQnmJkasPn2txOOcrS3yPk7W+oOuXWtW5tUWtWjk//c+DdK8pgnbT2Rz/paKB3EaluzMwtZSQXX/ktteU2N4qZ0py3ZnFTu7OitHQ3I6eZ/McnogqU09MzYdziDsWg73otXM2ZiKnbWS2kEmJR6n0pRcLnaeyGTr0UxuPiiHRxEeQ8+OLixeF8GhU0ncvJPBN7/fxsnehGfq2hV7TGKyivjEnLxPo9p23I/MJOxSCY9qCCEMrlSt54ULF6hbt26h7XXq1OHChQtlDupREmPvkpoUjU+I7vFdMwsb3P1q8eDmqRKO1JeZob0rb25ZdGUVGX6O6LsXqdGkT9kCLsbDdPgWSIeHXy3uP0k60nPTYaVNR2pyLA9uncHSxolFU/ry84fPsOS7Ady9dtyg8Wer1FyKSqRhJd3jaUqFgoaVXDj7oPhpuenZKrr8uZVn/9jCmHVHuB6bpPfzmh6O7L0RQVRKunZw60404QkpNPYp+jE4Q3BxMMLexojz13V3zNMzNdy4l01gpZIbaXcnI75/z4Vv33bm1d52OJbQKfXzMMbXw4S9J9MNFnt+iTHaPOVXVZenzC1s8PSvxb0bT56nLPKVjeysdNbOfpf2fT/D2q78/hb2VmBjoeBmhK6zk5kN92L1B7xLolBANR8FJsZwN0Z3njsxGkJ9FJjnXo9U81FgbAS3oww/MOVir8TexogLN3S9yvRMDTfuZlP5EXnKzdGYaWOc+HqUE8Ofs8XRtnCealzDnOn/c2bC6470bmuFaakXzypZcvxd0lNi8KzcJG+bqbkNLt41iQo/U8KROmq1ihthG8jJSsPFp7bez26cXs/CL5uwcno3jm+ZRk6W4ctGgoHKRcbDcmFVdJuRlZlG2MGV2Dt7Y+vgXragi5AUe5e0pGgqBRdo+3yfrO3LSi/c9nn41+HKyU1kpCagUau5fHIDOTmZeAc2NFwC0NW1567rZoCmZ2q4fjeLIJ+SBwrcnIz44QM3pr3ryuvP2+Nkp38ReDU8i8Y1LLCyUKBQaMuIiTFcvFF+s00fcrAGG0sFNx7orugzs+FetIZKLiXXW10aGXH1rpobD/6+AfLsnBwu3r5Po1DdskBKpZJGVSsTdqPwJIiCNBoNRy5e51ZEDPWC/PK2q9VqPpm9jEEdm1HZy608Qi8kLvouyYkxBFbX1VHmljZUCqjJ7WunS31etVrNpTN7cHb3Y/Y3w5n4RjN+Gvci54//DQOJRsaY+QeSdu60bptGQ9q505gHVSnykIyrFzHzD8QsQDsobuzijlWt+qSePlbk/gZnZIyZXyBp50/rtmk0pF84jXlg0TEXZNOiAymH9+bNEH84y1yTne/JO40GTXY25sHVDBV5IU9lnvqXcnMywdHOmLBLaXnb0jLUXLmVQUhA8TdWG9a04trtTP43zIM5XwcwbawP7ZsWbrurB1kw5+sAfhrnx6t9XbGxMvzAMoCznRI7ayUXb+n6hBmZGm7ezyHAq+QOnKuDEV+/ac8Xr9nxSjcrHIroEz5kagLP1DQjOkFFfJJhR5jtrcDaQsGtSP3++f1Y7Uzwx6FQQNVK2v75vVjteSzNwMtJQWoGvNxGyajuSvq3UuLtbNDwAchWqbj4IFZvMFupUNDI35Owu9HFHpeelUPnGcvpOH0Zby/dybWocnj89Ak52iiwtVJw9a5uEDgjC8Kj1Pi6lZyPe7Uw5eJtFVfvFZ9H6gYZM36wBe+9aE7nRiaYlMN1xsNycem2bpp6RhbcfKDC3/MR5cJeyeTXbZk43IYhXSxxsCnfp5yfhLuLKU72Jpw8rxvcTktXc+lGGlUDH2/ipbGRgjbPOLBlb+yjdxZCGFSpqjszMzMiIyMJCNBfr/jBgwcYGz/6lJmZmWRm6l+0ZmeZFfv4YkFpSdpGzNJGv0W2snEiNSnmsc6hUavZvWISngF1cfYsepbNuUPLcXSvjGdA4RsChpD6MB22+umwfMJ07FoxCa+AurjkpiMxRnuBe3Djj7R87n1cvaty4chqlv0wmMEfry9x7donkZCeiUqjwanAsipOlmbcii96EVY/B2s+a1ebIGc7UjKzmX/yGkOW7WNZ/za42Wjvyr/fsgZf7DxD5z+2YqRUoETBJ21rUderHHpLueystZ2JxBT9zkJSiirvZ0W5cTeLmauyiYhRYWejpGcraz4e6sTHP8YUObO3RT1L7kXlcO1O+dyOT8nNU1a2ZSsb25dNwrtyXVy8dGVjx7LJeFWuU25rkD/0cHJGaoFlhFMzNFg/Yjl9VzsY0t4IYyPtY4HL9uke5QRYcUBN76ZK/tfbGJVaQ3buPiWtpVhatrn5Jim1QJ5KVWNXwkXYjXvZzF6TRERMDnY2RvRoacWHQxz47Je4vDx15GwGMYlqEpJVVHIzpk87a9ydjPjpr6Riz1ta6cnafGNhrZ+nzK2dSU8p/oICIC7iCut/64cqJxMTU0va9v8BB9fAvJ8H1OyKtYMnljauxEdc5tiWqSTG3KRt/x8MmobU4sqFrROpiU9QLv4qXC4ATuxeyK6VU8jOTMPRzZ++b/+JkbHhZy+nJuemw6aINiP58dOxZ+UkPP31275nB3/Pxrnv8OtHjVAqjTE2Nafb0B+xd/E1XAIAe5vcclGorlVjZ138zKdrd7P4fUU2D6JzsLcx4rk2Nnw63IkPZ0TnlYsflsTzVl8HfvvEgxyVhqxsDd8vjC/xvRKGYm2hvThLKVBvpWToflaU6n4KPBwV/L7h753pFJ+ShkqtLrSsipOtNbciis9LyWkZdPzfN2Tn5KBUKBk7oBuNq+nK9J+b92GkVNKvbZNiz2FoKQnaeK3t9PsI1nZOpDxm+S5KalIsWRlp7F43iw59RtH5xTFcCdvPghmjGT52DgFVG5Qp7pIY2diiMDJClag/EJOTlIClZ6Uij0k+uBuljS2Vxn0LKFAYG5OwfQPxa/8qtzjzy4s5KUFve05iAhYeRcecn1lAMGaV/IiePT1vW9aDu2THROH0/GCi//wRdWYG9p16YuzkgrF90e++MYSnMU/9W9nn3gxNSNJf6yExSYWDbfHXnG7OJnRqYcfaHfEs3xxHkK85w553ISdHw64j2r7SyQtpHDqdQlRsNu4uJgzo7synb3rz4bfhFLHKXZmU3Ccsvo24eT+HORtSiIxTY2etpGtTc/7X34bxsxPJzHfvqGUdM3q1tsTcVEFErIrvlyQbfBa2VW4fvFD/PFOT97PiuNjBwDbKvP75ygNqHs6RevguoebVFOw4oyEqQUN1PwX9WiqZtcWwffT4tNxr1wIXFE5W5tyKKXpJCz8nWz7v1pQgNwdSMrOYd+g8g+dsYsVrPXCzNfyT5o/LxlKbb5ILzKBOSdPk/awotQON8HJWMn1F8e9rOXk1h/gU7QxtDyclXRqb4GqvYO4Wwy4Vapub9wuWi+RUdd7PinLrQQ7zNqmIjFdha6WkyzPmvNvPhol/JpXbjPcn4WinrZsSEvWDSUjKzvvZozxTzw5rSyO27o979M7CYMpjiSfx71OqQfIOHTowduxY1qxZg52d9q58QkICH330Ee3bt3/k8ZMnT2b8+PF627oMGEe3lz8vcv+Lx9ayfcm4vO89X/utNGHr2bFsPLEPrvLi24uK/Hl2VgaXTqynUcc3yvy7HrpwdC3bFuvS0euNsqdj+9LxxNy/Sr8xunRoNNqGplbTF6nRpDcAbpVCuX35EGcPraBFj3fL/HtLq6aHIzU9HPW+91mwkxXnbvFGk6oALAm7ybmIOL7r2ggPWwtO3ovl693aNckb+bgaJI4mNc0Z3M027/u0haWbEZB/XfE7kXDjbjxTx7jQsLp5odniJsbamY1r9xiut3f+yFo2L9LlqeffLHue2rpkPNH3rjLgf7o8dfXMDm5fOsyQj1eV+fwFVfdV0KWBbtB48Z7SDxbFJMPvm1WYmUCoj5LujZXM26HKGyhvVVOJuYmC+TtVpGdqCPHWrkk+d7uKqDIu99a4hhkDu+rW3/1+UelOePaaLk/djVJx4242377tRINqZuw7pe3Q7jmp69jei1KRkKzm/UEOuDikEh1ftsG266fXcWDN53nf2w/8pdTnsnP2o+dbK8nKSOHWuS3sWz6WzsPn5Q2UV2n4Qt6+ju7BWNi4sPmPISTFhmPr5FPq33vuyFo2L9SVixfeKnu52LJYW9fmLxcPVWvUHf+qTUlJjObIttms/v1tXn5/cZnXmL10fC07lurS0ePVsqdj5/LxxERc5YXR+uk4tHE6melJ9HpjDhbWDlwP286GOW/zwqiFOHuGlPr3PVPLgld66GbvTZlXus5+2BXdjfU7kTlcv5vF9/9zo1ENC/ac0M4w7NPOBktzJZNnx5CcpqZeqDkj+zowcWYMdyMNu5hmDX8F3RrrBvUX7nzycmdrCZ0bGDFv26PXLP+nsDI3Zclnb5KemcWRi9eZunQT3s4O1K8SwIVb91i8/RCLPnsDRcGXjRjQqQPrWPXn53nfB7/7a7n8Hk3ulVJovTY07zwIAE/fqty+epojO5f+4wY0LarWwLH7C0T9+TMZ1y9j4uaBy8uvourZj7jViys6vEeyadGBzPCb+i/5VKmImPElrkNH4//rUjQqFennT5N65hgKA74bRfLUP0eLBja83k/3FMoXv5Ru6TKFQsH18AwWrNXOwrx5NxMfT1M6NrfLGyTff0I3oef2/Sxu3c3it4n+VA+2IOxy2Z5qaxhqSv9OugHUH5eV7sXq5/M9jXgvWsXN+zlMft2O+lVMORCm6y8euZDFxVvZ2Fkrad/QnBE9rflmflKZXnpZzUdBp3q6cvbX/tI3VLHJ8Mc2NWYmEOKtoGtDJQt2awfKHzYXp25oOHtLW0YiT2vwc1VQ01/BnrMVO2pVy9uVWt6uet97/bKa5Seu8Gbrol9cXR7qBBnRp6VuAsbsDU/+lJydlYIeTU35fV3Ja5Yfuaj7YUSciuQ0Da91N8fJNpvYpNL/PRpUNeGlDrp3Xf28onTXxOdv6vp096LV3HqQypev2lKviikHz5bPO79K0rqJA6MH6156/um0G2U+Z8cWjhwLSyIuofzfqSOE0FeqQfIpU6bQokULfH19qVNH2zicPn0aNzc35s+f/8jjx44dy5gxY/S2zdtb/GBC5RptcPerlfddlaOt/NKSY7G20zVaqcmxuHo9+pHOHX9N4Ma53bw4egE2xTwSf/X0ZrKzMght2POR53tcgTXb4FFUOpL005GWHIur96PTsX1pbjre0U+Hla12KQwnj8p6+zu5VyY57n6Z0pCfvYUZRgoFsWn6jXRsWibOlo+YUpDLxEhJiIsddxO1LyDMyFHx08ELTOnSkOb+2jQFOdtxOTqR+SevG2yQ/NSlTK7f1T2+ZGKk7aHZWSv1ZpPbWhsR/uDxb0mnZWiIiFXh5lh4RmSDauaYmSg4cNpwy0kE1mrDK/66PJWTm6dSk4ooG4+Rp7YunsC1s7vp/+4CveUibl8+THxMON+N0b+AW/XbSLwD69P/3UeX++JcuafhXqyuM2acO15uZa4/K9PKXEFEfMkdM7WavBknEfFqPByVNAxRsvGYGgdraBis5NcNOXkv8oxM0FDJRUP9ICUbj5dtlOr05Sxu3NXdbHn4UI2tVYE8ZaUk/AkG7NIzNUTGqnAtIk89dOOeNo+6OhqVeZDcp2obXCrVzPv+sJ5KT4nF0laXpzJSYnD0qFriuYyMTXNf3AnOXtWIvneWCwfn07Tn+CL3f/h7k+LKNkgeVKsNnv6F69pC5SIpFrdKjy4XW3LLxYD3FhS5jIq5hQ3mFjY4uvnhFVCL795pyOVT26jWsGup0wAQUL0N7r5FpCM5FqsCbYbLY7R9u5ZP4Ob53Tw/agE29rp0JMSEc2bfAl7+cD1OHtoXMLp4VeHejeOc2beQti9OKHUaTl7M4Pod3QWLsbG2rrW1VpKQnL+uVT55XRuTg5uTtly4OhrRoYk1H0yP4l6UtnyFR6QQ4mtG+8ZW/LnGsC89unxHw70YXTk2yq23rM0hJV8Vb21OsfWWp5MCawsFr3bVdcWMlAp83TQ0rKJk4sKccpvR4mBtiZFSSVyS/gVqbFIKTnbFr/OrVCrxcdM+yRDi48HNB9H8sWkv9asEcOrqbeKSU3n2/Sl5+6vUaqb9tYmF2w+y8ev3DBJ7aN02VArMV0flLsWRkhiDrb1uKbCUxFg8fB9vmY+iWNrYozQyxtVTvy/l6hnArSsnS33ex6FKTkKjUmFkpz9b2tjWnpzEom80OfV5meT9O0navQWArDu3UJqZ4zp0JHFrlpT79Ki8mG3t9WO2sy80I74ghakZ1o1bEL9yQaGfZd26xt1PR6K0sARjY9TJSXiNm0bmzasGi/2/kKf+LY6GpXDllq7zZ5LbZtjbGhOfpOvf2NkacfNu8YOE8Yk53HmgP1h2NyKLJnWKf5lwZGw2ick5uLuYlnmQ/My1LG7+oWsj8to+KyVJqbp02FopuRP1+P229EwNkfFqXBz0+4QZmRoyMjVExau5cS+F7952oE6wKcculn7A8Op9DffzvUzaKF//PP9sciszBZEJT9I/1+DhqKBBkILNJzR5ff2CE7ljkjTYWWJQDpa5164FHvuKTc3A2frxXu5oYqQkxN2RO/GGf3qzJBduqZgWqYvbODcL2FgoSM73PixrS0WxL+P0dlFiY6ng7ed11+lGSgX+nkqaVjfmw9/Ti2wqwiO153OyU5RpkDzsWja3HuhuGD1MQ8FyYWOl5O6Tlos4FS725bNc0qMcPpXI5euped9NTLRx2NuZEJeoqwfsbU24Hv7ousXVyYQ61WyYOOOm4YMVQjxSqQbJvby8CAsLY+HChZw5cwYLCwuGDBlCv379MDEpea1d0C7XYmamPyhe0vskTc2t9V7mptFosLJ1IfzyIVy9tYM0mekpRNw6Q61m/Yo9j0ajYeeyiVwL28YLo+Zj51z845/nDq2gco02WNo4FrvPkyouHbcvH8K1ki4dD26doXbzktOx46+JXDuzjRffno99gXTYOXljbedKXKR+xRofdQv/0BYGS4+JkZIqrnYcuxNN68oeAKhz1xB/oZb/Y51DpdZwLTaJZr7aWSM5KjU5ag3KArPQjJQK1Aa8wMvI0pBR4BH8hGQVoQGmhEdoGzNzMwUBXibsPJpW1CmKZGaqwNXBiIPJhTsnLepacupypl5HpqzMzK0xKyJP3bp0CLd8eer+zTPUaVFyntq2ZCJXTm/jpTGF81TjjiOo1fR5vW2zJ3aj7fNjCazZukxpyMqBrAITCZLTNfi76zrdpsba9Q5PXH2y/zuFQjfobpLbESt4Bo1GN4ulLDKyNGRkFZWnTLiTOyhubqogwNuEXccf/+LLzESBi6MRiWHFD+L7uGvr3cTksi/ZYGJmhUm+FxVrNBosrJ25f+MwTp7aPJWVkUL03TCqNOr7ZCfXaPIGeosS9+ASAJY2ZVvz/knKRd2WJZeLrbnlon8R5aLoY7THlZTOx1VUm2Fp68KdK/navowUIm6foeYj2r7dK7RtX5+35mPnpJ+Oh+vAKxT6FxcKpVHezMfSKq6urRZgRvgDbbmwMFNQ2duUHUdSizpFkcxMFbg6GpOQe9PR1ERbiAuGq9ZoDFK+C8rK0b5YLL/kNA0BHkoi4rVl1cwEvFy0Lwsuyo0HGn5aq39joOczRsQkwv7zqnId0zQxNqaqrydHLt6gdZ1QQLte8tFLN3ixdaPHPo9GoyErW/t37NKktt4a5wBvfDeHLo1r06OZ4ZatM7OwwsxCv46ysXPm2vnDePpqy0VGegp3boTRuO0T1lH5GBub4u1fnZgI/b5UdMQt7J3L+eVsqhwyb17DslotUk8c0m5TKLCoXpvEreuKPERhZlaovGrUD/OegsKtn4Gpcsi8dQ3LarVJO3k499cqsAitTeL29SUeat2wOQpjE5IP7ip2H3W6ti9m4uaJmX8gcStKf3O+oP9EnvqXyMjUEBGtXy/GJeZQM8Qyb1DcwlxJsJ85m/cWf/Pz0o10vNz0r0k9XU2Jjiv+ZqyTvTE2VkbEJ5Z95mZmFkRn6df9iSlqqviZ5A3+mZuCv6cxe049/oxgMxPtO28OpxTfJ1Qocvu/ZVxDuqj+eUq6doZ3VL7+uacTnLz+ZOdWoBt0T0zVtp9Otvr7ONoouBFh2HrLxMiIqh5OHL31gDZVtJMx1BoNR28+oG+Dx7sBplKruRYVT7NA70fvbECZ2ZCZrf//kZSqIcjbiPux2jxrZgI+rkoOnS86D1+7p2LKUv1rkBdbmxIVr2HX6exi+x2ezto/VnJq2f4emdkQnVC4XIT4GOuXCw8j9p1+8nJx9ELFPJaXnqEmPUO/3x+bkE2dUGtu5A6KW5orqRJgyfqdj16yq0NzJxKScjhy5u+9ESOE0Cp182llZcWIESMMGctjUygU1Gk1kCNbfsHB1RdbJ28Orp+OtZ0rgTV16yUv+2EQgTXbU6flAAB2/jWeSyfW0334z5iaW+WtU2tqboOJqe6Oanz0be5eP8Zzr/1e7umo23oghzdr02Hn5M2Bh+mopUvHX9MHEVirPXVbadOxfel4Lh1fT89Xf8bUzIrUxNx0WGjToVAoaNBuKAc2/ICLVxVcvaty/sgq4iJv0H3YDIOmYUCdQMZtO0lVN3uquzmw6PR10nNUdA/Vdjw+23oCFysLRjbVXoT/fuQyNdwdqGRvRXLumuQRSWn0rKbd39rMhHpeTkzffx4zYyM8bCw4cS+WDRfv8E7z6gaNvaAth9Lo3tKayFgV0fEqerW1JiFZxclLurv27w924OSFTLbnDpz37WjDqcsZxCaosbdR8lwba9QaOHxWvwPi6mhEiK8J0xaU74teFAoFDdoO5OCmX3B09cXO2Zt9a6djbe+qt5b44u8GEVy7PfVaa/PU1sXjuXBsPb1f15aNlNw8ZZabp6ztXIp8Waeto+djDRw+qaOX1TSrpiQuWU1CioZWNZUkp2vfdP/QgNZKLt3VcDx34LxNLSXX7qtJTAMzY6jup8TPVcHC3doOU0wSxCZreLaBEdtPqUjP0j7yGeCuYMme8ulUbTuSTtfmVto8laDiudbWJCSrOXlJ1/F772V7Tl7KZOcxbZ55ob01p69kEpugwj53nXuNGo6c0+ZDFwcjGtcwI+xqFilpaiq5GdO3ow2Xb2U90ayLx6VQKKjWdCBndv2KnZMv1g7enNw+AwsbV3yq6vLUptlD8A1tR2iT/gAc3zIN7+DmWNl7kp2Zyo0z63lw8ygdB88EICk2nBtn1uMd0hIzS3viIy5zZONXuPvVx9G99Mt7FJeGBm0HcnCjrlzsXTMdmwLlYtG0QQTXaU/93HKxZfF4LhxdT583ii4X8dF3uHh8I/6hTbG0cSQ5PoJDm3/H2NScytVbGjQND9NRp+VAjm79BXsXbZtxcON0rOxcqVxDl44VPw6ics321G6hTceuZeO5dHI93Yfpt31m5jYYm5rj4BaAvbMvO/76jOY9PsDcyp7rYdsJv3yAHsPLvsRLQZsPpNKztQ2RsTlExavo086GhGQVJy7q6tqxrzhx/EI62w5r69p+nWw5dSmDmAQVDrZKerW1Ra3RcOiMttw8iM4hIiaHV3rYsWhzEilpaupVNad6ZTOmzv971nM8fFFNixpKYpM0xKdoaFPbiOQ0uBSuq7cGtTfiYriGo5fVZOVAVIL+ObJyIC1TU2h7eRjQvimf/bGCUF9Pqvt7s2j7QdIzs+jRtB4An8xejqu9LaN6dwBg9sY9VPP1wtvVkazsHPafvcKGw6cZ2787APbWlthb60/7MzYywtnOBj/38nvZs0KhoGmngexc8xvO7r44unizdfkMbO1dCa3XNm+/mZOHUK1+O55pr62jMjNSiY0Mz/t5XPQ97t++iKWVXd6AZYsur7D4xzH4h9QnILQhV8L2c+nUbkZ8NKfc0vNQ/KZVuL06hoybV8m4fgWHTj1QmpmRtGcbAG6vvUtOfCyxS7WxpJ48iv2zz5F56zoZ1y9j6uaJU5+XST11FDR/z8BBwuZVuA4fQ+bNq2TcuIJdhx4ozMxJ3quN2XXEGHLiY4lbNlfvOJuW7Uk9eQh1SuElKawaNEOVnEhObDSmlfxw7j+C1BOHST/3+C8rflJPa54qjpGVJVaBuqe3LP29sa1Vhay4RDLuPKiwuB5atzOe5zs7cj8qi6jYbF7q5kxcYg5HzuhGcCeM8ubwmRQ27kkAYO3OeL56z4c+HR3ZfzKZYF9zOjSz4+dFkYB2IsyLzzpx6FQKCUk5uLuYMOg5Fx5EZ3Pq4uNPjnkSO45l8Owz5kTFqYhJVNOjuQUJKWpOX9ENrr3T14ZTV7LYfVLbT+zd2oKwa9nEJWnXJO/WzAK1Bo5d0B7jbKekflVTLtzMJjldg4ONkk6NzcnK0XDuuuEXZz52VcMzoQriUjQkpkKL6tr++ZV7unauX0slV+5pOHFNu61lDQU3HmhIStO+WDTUR4GvKyzZqzvmyGUNzappJ8dEJUANPwVONrDqoOFv7r3cOJRP1+wn1MOJ6p7OLDx6kfTsHHrU0i4F+MnqfbjaWDKqrbYt/G3vGWp4OePjaEtyRhZzD53jQWIqz9UJyjtn4v/Zu+vwKI7/gePvu7i7OzEkSHF3LS4tbZFCC6W01L8t0NJS6i5UoALFobi7u0twDwQJcU8uZ78/Ls1xcEHChbQ/Pq/nuafNZnbzGW5nZ3Z2dqZAxfWsPFJyDOfOpTTDAxxvZ4d7HqFeFtvi1bSpY0NKlp70bB0d69uQna/n2EXj/cCwrnYcu6hlxzENKjUkpZv+mxapDfPK/7Pdy1XBY9FWnLykJV8FAV5KujW24fw1LdfTLf99bDyg4vFGdqRkGMpF16YOZOXqOHzWeP6+9qQTh8+q2XLIcN73amnP0XOGqV/cnRV0aWJvKBcnjfu4OilwdVLiWzy6PMhbSaEa0rN15BeW/xQ+i9ek8HQ3P67eUJGUUsSzvQJIy1Sz86Dx4d4X70Sy82AWS9cbO84VCmjfzJP129PRVUyfvxCPvDJ3kp8+fZqffvqJkydPAlClShVGjBhB5cplfw3xftRrOxR1UQHrZn+AqiCboEp16PXSnyZzwGalJlKQZ+yUPLLdMCfjvPEDTI7Vod/nVGvYq+Tn47sW4OLuT3jlpuWcC6jfzpCPtbOK8xFZh94vm+Yj89Z8bDPk4+8fTPPRsf/nxDUy5KNO60FoNEVsXvA5BflZ+AZVps+Iybj7lH0KA3PaxwSRUaBi4u5TpOWpiPFx5afuDfEqnm4lKafAZG7SHFURn2w8TFqeCld7Gyr7ujP5iWZUumn4wGcd6/LzzhOMWXOA7MIi/F0dealRFfpUD7do7LdauT0PO1sFg7q54miv5OzlIr6ZnoH6pofxvh7WODsZK2APVyXD+7jj7KgkJ0/HmctFfPx72m2jxZvXdiAjW8ex8+U/T1qD9kMpUhWweuYHFOZnExxVh76vmJ5TGSmJ5Ocaz6lDWw3n1KzvTM+pxwd+To3GvXjYdp7UY2Otp3M9Jfa2cDlFz6zNWpNFiDycFRjWjDX8WzvaQfeGVjg7GEYq3MjUM3OzjovFo1B0epizWUvrWkr6trDC1hoycmDJbh3nrpdPY2nVjnzsbBQ829Wl+JxS892MTJN5AH09rXBxNI7g9XBV8mJvV5wclOTk6zh7Wc0nkzJKzimNVk/VCFvaNXDEzlZBepahc3HZ1vK5qQOo3mwImqICdiweS1FhNr5htekw6HeTcyon/TKF+cZzqiAvja3zR5Gfk4KtvQse/jF0GPQHQVFNAFBa2XDt/C6O75yGRl2Ak5s/4dXaUbPl8HLJQ8MOhmvtqhmGchESVYcnXzVzrb25XGwxlIuZ35qWi87PGsqFtY0tief2s2/DVArzs3Fy9SIkui4D35l92yKhllK3zVA0RQVs+NtQZwRWqkPPF2/JR5ppnRG/w5CP+T+Z5qPdM59TrUEvrKxs6D7sd3Ys+5alv79IUVE+7t6hdOj3BRHVLN/Zv3xbLna2Cp7r4Y6jvZIzl4r4akqa6bXW0woXR+Pr5J5uVrzc16PkWnv6UhEfTjTMPQ6g1cHX09Lo296VtwZ4Ymer4Eaalt8WZHLkzP3P21kW24/rsLGGro2sDNetZD0z1pvON+7hosDR/t+xKlCH+tXJyM1jwpINpGXnEhsSwC+vP1sy3UpSWqbJW12FqiI+m7mM5Iws7GxsCA/w5pPnn6BD/eoVlYUSLTo/T5GqgIWTx1KYn0N4TG0Gv/27yYLwacmJ5OUYy8WVi8f547NBJT+vmPUlALWb9uDJYZ8BEFe3LT0Gj2Xzsj9YOv0zfALC6ffqD4TH1in3POXu3oqViytefQZg5eZB0aULXP3yg5KFMa29fEw6vw3zjuvxemIg1p5eaLOzyDu0l7S5U83/gXKQt2cbaS5uePTqj7WbB6rLF7j+tWnMt452t/EPwiE2jmtfvmf2mNbuHng/MwQrN3c0mRnk7NhAxuI55Z2V/5fnVGnc6sTRaINxZH7Vb94FIHHaQuKfH11RYZVYtC4DezslLz3jh5OjkpPnC/jo56uoNcZzyd/HBtebFn8+d0nFF79dY0B3b5583JMbaWomzU9h6z7DgxidDsKD7GjV0BUnB8Po8cMn85i5LA2Npnyu0Wv2FGJrq6B/Rycc7RWcu6Jh/N85Jm1Cbw8lzje3CV2UDOnmjJODgtx8PeeuqPliWh65xYs1qrV6okKsaVPPHkd7Bdl5Os4mavhqerZF31z9x+5TemysoFMdQ/s8MRXmbtWZtM/dncHhphfGneygSwMlzvaG9nlyFszZqiPhhjHNvrN6rKygbS3DcZMzDWky7/0Fs3vWoVoEGfmFTNhymNTcAmL9PPn1mbZ4FXdmX8/OM7l3zS5U8fGKXaTmFuBqb0uVAC+mDupEpI97SZrNZxIZu3RHyc8jF24FYFjzmgxvUcvymSi26bAGWxsFfVrY4mALF5N0/LFcZXJOebkqcLK/91fqNFqIDraiWQ0bbK0hM1fP0Qta1h8onxUx1+5VYWuj4JkOjjjaKTh/VcNP8/NM8uDjboWzg3GDh7OS57o64WSvILdAz/krGr6amVtSLgCa1bSjSxPjIMi3njFMtTR1ZT67j5f//fjclcnY2yl5bVAIzo5WHD+bx3vfXEB909sAAb52uDqbdsc9Vs0FP29b1myVBTuFqCgKfRnepV6wYAFPPfUUdevWpVGjRgDs3r2bffv2MWfOHHr37n3fgfy29r53+ddRVsw0WBb39Ol3KjoEi3j5xpt3T/Qv17KV+Tnz/2uuJP33Fx25eOb/R2Mltpp3RYdgEX7e//0LbkHh3dP8F+zYZrm1LipKZGz5jXR+mEZGLK7oECxijd3DfzhraXE/dq3oECxCaVV+i7A+LPEjllZ0CBZhW/xW5n/dH0PNTxn0X+IX+v+jLRVeye3uif7lXi/6sqJDsIj3c16v6BAsIi/34S+caWkXjiVUdAgWsWZqrYoO4T9n8saKjuC/57nWFR2B5ZVpJPk777zD6NGj+egj08W8xo4dyzvvvFOmTnIhhBBCCCGEEEIIIYQQ4mEr01C869evM3DgwNu29+/fn+vXK37uOiGEEEIIIYQQQgghhBDiXpSpk7xly5Zs27bttu3bt2+nWbNmDxyUEEIIIYQQQgghhBBCCPEw3PN0K0uXGufz69atGyNHjuTAgQM0bNgQMMxJPm/ePMaNG2f5KIUQQgghhBBCCCGEEEKIcnDPneQ9evQo+X+FQoFer+fXX3/l119/NUn38ssv8+KLL1osQCGEEEIIIYQQQgghhBCivNzzdCs6nQ6dTkdhYSEtWrTg1KlTJdtu/mi12vKMVwghhBBCCCGEEEIIISxCp5fP/X7+P7rvOcltbW05evQoSmWZpjMXQgghhBBCCCGEEEIIIf41ytTT3b9/f/78809LxyKEEEIIIYQQQgghhBBCPFT3PCf5zTQaDZMnT2b9+vXUqVMHJycnk99/9913FglOCCGEEEIIIYQQQgghhChPZeokP3bsGLVr1wbgzJkzJr9TKBQPHpUQQgghhBBCCCGEEEII8RCUqZN806ZNlo5DCCGEEEIIIYQQQgghhHjoytRJLoQQQgghhBBCCCGEEP91en1FRyD+Dcq0cKcQQgghhBBCCCGEEEII8f+BdJILIYQQQgghhBBCCCGEeGRJJ7kQQgghhBBCCCGEEEKIR5Z0kgshhBBCCCGEEEIIIYR4ZEknuRBCCCGEEEIIIYQQQohHlnVFByCEEEIIIYQQQgghhBAVQaer6AjEv4GMJBdCCCGEEEIIIYQQQgjxyJJOciGEEEIIIYQQQgghhBCPLOkkF0IIIYQQQgghhBBCCPHIkk5yIYQQQgghhBBCCCGEEI8s6SQXQgghhBBCCCGEEEII8ciyrugAhBBCCCGEEEIIIYQQoiLo9RUdgfg3kJHkQgghhBBCCCGEEEIIIR5Z/5qR5M/yV0WH8MBUniEVHYJFfO3yaUWHYBETnD+v6BAemM6hVkWHYBH6SKuKDuGBWfulV3QIFpEdULWiQ7CITFvfig7hgYUlbKroECxicEtdRYfwwIq8gio6BIv46ULvig7BIrrWSqroEB7Yu76/VHQIFqHVais6hAf2g8eZig7BIl4duqyiQ7CIoX90regQHlizLztVdAgWYRXSsqJDeGA/XRtV0SFYxMfBf1d0CBaht/rXdC+VmdZ+b0WHYCG1KjoAIf6TZCS5EEIIIYQQQgghhBBCiEeWdJILIYQQQgghhBBCCCGEeGRJJ7kQQgghhBBCCCGEEEKIR9Z/f9IoIYQQQgghhBBCCCGEKAO9vqIjEP8GMpJcCCGEEEIIIYQQQgghxCNLOsmFEEIIIYQQQgghhBBCPLKkk1wIIYQQQgghhBBCCCHEI0s6yYUQQgghhBBCCCGEEEI8sqSTXAghhBBCCCGEEEIIIcQjy7qiAxBCCCGEEEIIIYQQQoiKoNNXdATi30BGkgshhBBCCCGEEEIIIYR4ZEknuRBCCCGEEEIIIYQQQohHlnSSCyGEEEIIIYQQQgghhHhkSSe5EEIIIYQQQgghhBBCiEeWdJILIYQQQgghhBBCCCGEeGRZV3QAQgghhBBCCCGEEEIIURH0en1Fh/AfpKjoACxORpILIYQQQgghhBBCCCGEeGRJJ7kQQgghhBBCCCGEEEKIR5Z0kgshhBBCCCGEEEIIIYR4ZEknuRBCCCGEEEIIIYQQQohHlnSSCyGEEEIIIYQQQgghhHhkWVd0AEIIIYQQQgghhBBCCFER9PqKjkD8G8hIciGEEEIIIYQQQgghhBCPrDKNJM/Ly+OLL75gw4YNJCcno9PpTH5/4cIFiwQnhBBCCCGEEEIIIYQQQpSnMnWSDxkyhC1btjBgwAACAgJQKBSWjuu+zdl6gKkb9pCanUdMkC+j+rSjenjgXfdbdeAEo6YspVX1aH54ofdDiNTUvLVbmLFsPWlZ2USHBvG/QU9SLSrcbNrFG3awYtseLly5BkDliFBe6tvNJH39p182u+8rz/RgQNd2lg7/jlrVVFInWom9LVxO0bN8t5b0nHvbt2mckna1rdh1Qsvq/bq772ABf+8/zdQ9J0nLLSDGz4OR7esSF+htNu3S+POMXb7bZJutlZI9I58u+Xni1njWnLhEUk4eNlZWVPH3ZESLmlQPMn9MS5i7fgfTVm0hLSuH6JAA3unfg7jIULNpN+4/yuRlG0lMTkWj0RLq703/ji3o3KQOAGqNlgkLVrM9/hRXk9NwdnSgQdUoXnnycXw83MotDwBz121n+spNxfkI5O2BPYmLDDOfj33x/LVsPYk3UtFodIT6e9OvU0s6N61rkmbBxp2cSrhCVm4+Mz95i9iwoHLNA8CczfuZum4Xadm5xAT7MbJvB6qHm/+7Gw6dYtLqHVxOSUej1RHq68nAtg3o0qBGSZr8wiJ+XLyRTUdOk5VXQJCXO0+3qscTzeuUWx4WrlzLnEXLSc/MIjI8lNeGPkvVmCizaS9evsKkWfM4c/4iSSmpjHhuAE9262SSJr+ggD9nzmPbnv1kZGURHRHOq0MGUiU60mIxr1i2hEUL5pKRkU5ERCQvDB9BTGzlUtNv37aFmdOnkHwjicDAIJ59bih16zUo+X1BQQFT//qTPbt2kJOTjZ+fP1269aRT564A3LiRxNDB/c0e+53R79O0WQuL5GvOlv1MXbeb1OLzadST7Us9n9YfOsWkNTtITMlArdUR5uvBgDYN6dqgekmatOxcfli8iV0nL5CTX0jt6FBGPdmBMF9Pi8Rbej7+qa9zDfX1E+1Lra/XHz7NpDU7SUwtzoePBwPa1Kdr/ZvzkccPSzax6+RFcgoKqR0Vwqgn2pd7Puau3cKMZRtK6u+3Bz1Rav29aMMOVm7by/mb6u+X+3Y1SZ9fqOLn2UvYsj+erJw8An296NuhBb3bNSvXfOj1eg5t+InT++ZRVJiDb9hjNO42Fjdv83kBOLlnNqf2zCE38yoA7r5R1Gr1EiGxzUvSrPxzIEkX95nsF1uvL016fPhA8a5cvojFC/4mMyOd8IhIhrz4KjGxVUpNv2PbZmbPmEzyjSQCAoMZOPgF6tRraJIm8fIlpv/1O8ePHUGr1RISGsY7747Dx9cPgDGjXuf40SMm+7Tv1JXhI958oLyY07ejO20aueBkr+RUgoo/5qWSlKq54z6eblb06+LJY1UcsLNRkJSq4Zc5KVxILMJKCU897kHtKo74elmTX6jj6JkCZi7PICNba/H4AZ563JN2jVxxdFBy6mIhv89N4XqK+q55GNDNm9pVHbG1UZCUqubnmcmcT1QB0LeTJ01qO+Ptbo1Gq+d8oopZy9M4e0lVLnlYsnwl8xYuIj0jk8iIcF4eNpTKsTFm0yZcuszUmbM4e+48N5JTGD70OXp172aSZtrM2Uyf/bfJtpDgICZP/KVc4r/Z0128aNfEDScHJacuFDBxdvI9fB/WDOzpTe2qTtjZKkhKUTN+ehLnLxv+vV8d4EfrRqZtwYPH8/jol6vllo878Wxal0pvPY9b7TjsA33Z3/slbizdUCGxmGNTsyl2dVujcHJBl3KNgk0L0CVdLn0HOwfsmzyOdVQNFPZO6HLSUW1ehObiSQCsgiphW7c1Vn4hKJ3dyF8yCc35o+Wej7/X72Taqq2kZeUQExrAO/27E1cpxGzaDfuPMXn5RhJvpKHRagn186Z/x+Z0aVIbMNxn/LpwDTviT3MlOQ1nR3saVI3m1Sc64ePhWq750Ov1HFz/E6f3z6OoIAe/sMdo3P0u9d7u2ZzcO4fcDGO991hr03rv5uOvnTqMK2e20ab/T4RXbWvxPMzZtJep63aQlpVLTLA/I5/qRPWIYLNpNxw8waRV20zvMdo1pkvDmiVpag370Oy+r/dqx6AOTSwe/z/+3ribqWu2G/IR4s/Ip7sQV6mUfBw4zqSVW0hMTi8+p7wY0L4JXRo9VpLmg8kLWLbzkMl+jatF88sbz5ZbHmyqN8a2dgsUji7oUq9TuHUxuhuJZtNaV66LQ7u+Jtv0GjW5E94t+Vnh4Ixdk85YhUSjsHNAe+0ihVsWo89KLbc8CCGMytRJvmrVKlasWEGTJuV3wbwfqw+c5JtFGxnTtwPVwwKZuXkfw3/9myXvv4CXi1Op+11Ny+S7xZuoHWn+Qlze1u06wA/TFzLq+aeoFhXOnFWbePWLn5n37Vg83VxuS3/g5Bk6NK5LjZgIbG1smLZsHa98/jNzvh6Dr6c7ACsnfGayz67DJ/jk95m0rv/YbccrT02rKWlQRcmiHVoyc/S0fsyKAW2t+WWJBs1d+rwDvRTUjVaSlP7wJoVacyKBbzcc5L2O9YkL9GbWvlO8NGcTi4d1xdPJ3uw+znY2LBrWteTnWx8VhXm5MLJDXYLdnVFptMzYe4qX5mxkyYvdSj3mg1i75zDfzV7Gu8/2Ji4ylFlrtjHimz9Z+OU7eLo635be1cmR57q2JiLQF2srK7YdOcm4P+fi4epM4+qxFBYVcerSVYZ0a0tMaAA5eQV8PXMJb/wwhRnjXrN4/CX52H2I72ctYfTgJ4iLDGX26q288tXvLPhqlNly4ersyHPd2hIe4IeNtRXbDp/goz/m4OnqTKMaho7RAlURtWIiaNegFp9Mmltusd9szf7jfLtgHe893YnqEUHM3LiXl8bPZsmHw/F0vf265Opkz5BOTQj388bGWsnWo+cYO20Zni5ONK5q6ED+ZsE69p1O4NPB3Qn0cmfXiQt8PmcVPm4utKxp/ub9QWzYvotfJs/greHPUTUminlLV/G/cV8w85dv8XC//UFJoUpFoL8vrZo04KfJM8we88uf/+Di5UTee3043p4erN28nTfHfsa0n77Gx+vBOzW3bdnEpD8m8tKI14ipXIWlixcw9v1RTPj9L9zdPW5Lf/LEcb758lMGDnqeevUbsmXzRj77eCzfj59AWHgEAJP+mED8kcO8+fYofP38OXRwPxN/GY+nlxcNGjbG29uHqTNMz6s1q1ewaMFc6tSt/8B5Ali9/wTfLFjPmKc7UT08kJkb9zL8pzks+fBFs/Wcm5MDQzo2IcLPGxtrK7YePcvY6cvwdHGkSdVI9Ho9r/82H2srJT8MewJnBzumbdjDsPEzWfj+MBztbC0S9235OHCCbxZtYEzfjoZ8bNrH8F/+ZskH5utrN0d7hnRsTISfFzZWVmw9do6xM1bg6exEk6qVDPn4fT7WVlb8MKw3zvZ2TNu4l2E/zWbhmKHllo+1uw7ww/RFjHq+L3FR4cxetYlXvviF+d9+UEr9fZb2jetQI+YJ7GysmbpsHSM+/4W/v36vpP7+fvoC9h8/w0cvDyTAx4vd8Sf5avJcvD3caFG3xm3HtJSj2/7kxK4ZNOv9OS6ewRxcN541U4bS67XlWNvYmd3HydWfuh3exNUrDNBz9uASNswcQfeXF+DhF12SLqbuE9Ru+0rJz9Y2Dg8U6/atG/nrjwm8OOINYmKrsGzxfD56/x1+/n2a2fJ96sQxvvvqY/oPGkrdeo3YtmUDX3zyPt/8+HtJ+b5+/SrvvvMqbdt34qn+g3BwdCTxUgI2tqbnTrsOnXm6/3MlP9vZm/+3eRDdW7vRqbkrP89KJTlNzVOdPBjzoj9vfHEVtcZ8m8jJQcnHrwZw/Gwhn/2eRHauDn8fG/LyDY0tO1sFlYLtmL8uk0tXi3ByVDK4pycjh/gx6rtrFs9Dz7budG7uxviZySSnqXm6syfvDw/ktc8u3zEPn70ezLGzBXw84RrZuVoCfG3ILTB24l9LLuLPeSncSFNja6Okays3PngpkJc/vkR2rmUHU2zeup3f/pzMqy8Pp0psDAuXLGX0B+OY/NsveLi735ZepVIR4O9P8yZNmPjn5FKPGx4aypefjiv52UppZdG4zenZzoMuLd35cVoSN9LUPNPFm7GvBPHKR5fu+H188b8Qjp7J5+NfrpKVqyHQ17bknPrHgeN5/DQ9qeRntbriJnO1cnIkO/40iVMWUHd++T94uB/WMY9h36IHhRvmor1+CdvaLXDq9SK5f32GviD39h2UVjj1Ho4uP4eC5VPQ5WahdPVAX1hQkkRhY4cu5Rrq43tw7Pb8Q8nHmj1H+G7Oct59tifVK4Uyc+12Xv5mEou++J/Z+ww3Jwee79qa8AAfbKyt2Xb4JOMmzcPT1emW+4zWxIQEkp2XzzezlvH6j1OY+eGr5ZqX+K2Geq95n89x8QjmwPrxrPlrKL1ev0O95+ZPvVvqvfUzRtBjhGm9B3B8x9RyjX/NvmN8O38N7z3TxXCPsWE3L42fwZJxI0q553NgyOPNCfcvbhPGn2Hs1MWGe4xqhoEv6796y2Sf7cfOMW76EtrWLv0h9APnY+9Rvp27ivf6dyOuUgiz1u/kpR+msPiT10s9p4Z0blmSj23xp/nwr0V4ujjTOM74HTSOi2bc4F4lP9tal98yfNbRNbFr1pXC4gdfNrWa4dhtCHkzvkJfkGd2H72qgLwZX9+0wfTa6dB5EHqdloIVU9AXqbB9rDmOPV4gb+bXoLnzA04hxIMr05zkHh4eeHqW7wit+zF90156NapJj4Y1iAzwZkzfjtjb2rB4V3yp+2h1Ot6duozhjzcl2Mv94QV7k1krNtCjdWO6tmxEpeAARj3/FPa2tizbvMts+o9HDKZP++bEhIcQHuTPey/0Q6/Xs+/Y6ZI03u5uJp8tB+KpUzWaIL/yG71sTsMqSrbG6zidqOdGJizcrsXFESqH3vmtA1tr6N3MiqW7tRQUPbzG9oy9p+hVK4ruNSOJ9HHjvU71sbe2YvGR83fcz9vZoeTj5Wx689+pWgQNIwII9nAh0sedt9rWIVel5mxyZvnkYfVWerZoQLfm9agU5Me7g3phb2vDkq17zaavWyWS1nWrExHoR4ifN8+0b0ZUSACHz1wEwMXRgV/feYH2DWoSHuBL9agwRg7oycmEK1xPyyiXPADMXLWFHi0b0q15fSoF+TN6cB/s7WxYWmo+omhVtwYRQX4E+3nzdIfmJvkA6Ny0LkN7dqB+Nct3JJdm+oY99GryGD0a1yIywIcxTz9efF06bDZ9vZhwWteqTKUAb0J8POnXuj7RQX4cOmcciXDk/BW6NqxBvZhwgrzc6dOsNjFBfhxLKJ+RW3OXrKRL+1Y83qYl4SHBvDX8eezt7FixYYvZ9FWiI3lpUD/aNGtstkGqUhWxdddehj/7DLWqVSE4wJ/nnu5DkL8fi1evt0jMSxYtoH3Hx2nbviOhoWG8NOJ17OzsWL92tdn0y5YspHadevTq05eQ0DD6DxxMpcgoVixbUpLm1MkTtG7Tnuo1auHn50/HTl2IqBTJ2dOnALCyssLD09Pks2vndpo0a4GDw4N1Cv5j+sY99GpSix6Nat50PlmzeOcRs+nrxYTRpuR88ig+n3w5dN5wPl1KTif+4lXee6oTceGBhPt5MeapThQWaVi9/7hFYjafj730alyTHo2K6+unOhryUUp9XS8mjDY1Y6nkX5yPVvWIDvTl0IWb8pFwjfee6kBcWHE++nakUK1h9YET5ZaPWSs20qN1Y7oV19+ji+vvpaXU35+MGMQT7ZsTGx5MeJA/Y8zU3/FnLtK5eQPqVI0h0MeLXm2aEh0WxInzl8otH3q9nuM7plGz5YuEVW2Dp38szZ/4goKcZC6fLL1MhlZpRUhsC9y8w3HzjqBu+9extnUkJdH0fLS2tcfRxafkY2t/+03v/Vi6aB7tOnamTbtOhISG8+KIN7Gzt2fD2lVm0y9fuoDH6tSnZ++nCAkN45kBz1EpMpqVyxeVpJk1bRJ16jbg2edepFJkNAEBQdRv2OS2Tnc7e3uTMu7oWPogjLLq3MKVBWsz2X8sn8vX1fw8KwUPVyvqVXcsdZ8ebdxIy9Ty65xUzl0uIjldQ/zpAm6kGUaf5xfq+XhiErsO53EtRc3ZSyomLUgjMsQOb3fLd9J2aeHO/LUZ7Duax6VrRYyfnoynmxX1a5T+79WzrQepmRp+npXMucsqktM1HDlVwI2bRtBvO5BL/BlDvhKTivhrUSpODlaEBVr+YcWCxUvo1KE9Hdu1ISw0hNdeHo6dnR1r1pkfmRwbE80Lzw2iVYtm2NiU3hmjtFLi6eFR8nFzK9/RsgBdW3swd3U6e+PzuHS1iB+nJuHpZk2DmqWXxV7tPUnNUPPT9BucvVRIcpqGwyfzSUo17ZzRaPRkZmtLPnkFD+fNT3NS1mzlzNgfuLHEMm0JS7Kr0xL1sV2oj+9Fl36DwvXz0GuKsIlrYDa9TVwDFPaOFCydhPbaRfTZ6WivnEeXanyopUk4iWrnSjTnyn/0+D9mrtlGzxb16d7McJ/x3rM9i+8z9plNX7dKJK3rxFEp0I8QXy+ead+U6BB/Dp9JAAz3GRPeHkr7+jUJD/ChRlQYI/t352TC1XK9z9Dr9RzfOY1arYrrvYBYWjzxBfk5yVw6cf/1XvIt9V7atZMc3T6FZr0/Lbc8TF+/i15Na9OjyWNEBvoypl8Xwz3GLSOo/1EvNoLWj1WhUoCP4R6jTcPiewzj2wzebi4mn81HTlEvJoJgn/Lr85mxbge9mtWle9M6RAb68l7/boZ8bD9gNn3dypVoXbsqlQJ9DedU28ZEB/tx6JxpO8nW2tokL65OlmmLm2Nbqznq43vQnNyPLiMZ1aaF6DVqbKreeZCMPj/H+LnpYZnC3RurgDBUmxeiS76CPjMF1aaFYG2DTczDHfQoxKOqTJ3kH3/8MR988AH5+fmWjue+qTVaTiYm0TA2vGSbUqmgYWw48XfoOPpt1Q48XBzp1ahmqWnKk1qj4dTFROrFGacAUCqV1IurzNGz9zane6GqCI1Gi6uz+ZuntMxsdhw6RrdWjS0S873ycAYXRwUXrhsbyyo1XE3RE+Jz507yzg2sOHtFx4XrD6+DXK3VcvJ6Og3C/Uu2KRUKGkT4E3+19NeaCoo0dPp5ER1/WsTr87ZwPiXzjn9j4aGzONvZEOPnbsHoi4+v0XAq4Sr1qxmfoiuVSupXi+boubt3sOj1evYeP8ul68nUjq1UarrcggIUCgUujuXT2DDk4woNburMNuQjhvhzCXfd35CPM1y6nsJjd8hHeVNrtJy8fJ0GlSNKtimVChpUDif+wt07tPV6PXtOXSThRhq1o43T5dSMDGZz/BluZGYbOthOJ3ApOZ1GVS2fV7Vaw5nzF6lbI+6mPCipUzOO46fPlumYWp0WrU6HrY2NyXY7O1uOnjhdyl73Tq1Wc+7cGWrVql2yTalUUrNWbU6dMt9heurUCWo+VttkW+069UzSV65Slb17dpKWmoperyf+yGGuXb1Crdp1bz0cAOfOnuHihfO0a9/J7O/v1z/nU8NY0/OpYeUI4i9euev+xvMpnTpRoSXHBLC7qUNHqVRga23FofN3P2ZZGOvrW/IRG078xXssF6cTSEhOp07kLfmwfpj5MNTf9eNib/qbSurHxXL07MU77Glkrv6uERPB1gNHSU7PRK/Xs//4GS5fT6ZBjfIbxZWTcYWC3FQCIxuVbLO1d8EnuAbJl80/gLmVTqflQvwKNEX5+ITWMvndhcPLmflpIxb+2JX9a75DU1Rg/iD3QK1Wc/7cGWrWMk4vpVQqqVGrNqdPmX+wc/rUCZP0ALVq1+NMcXqdTsf+fbsJDApm3Ptv8+wzPXnnjeHs2bX9tmNt3bSegU9359WXBjN9yh+oCgvLnBdzfL2s8XC15ugZ43HzC/Wcu6QiNrz0juC61Rw5n6jizWd9+fOjUL56K5A2DW9/m+Fmjg5KdDq9xTs1/bys8XCz5shp4/1BfqGOs5dUxIaX/gZdvepOnL+s4n+D/fnr03C+eSeEto1K70C2toL2jd3Iy9eScNWy062o1WrOnDtP7VrGtzeUSiW1a9XkxKkHq6euXbtO34GDGfD8MD7/+juSk1MeNNw78vOywdPNmvhTpt/HmYRCYiuV/n3Ur+HEuUsq3h4SwJQvK/Hd6FDaNbn97bG4aAemfFmJX8aGM+wpX1ycynRb+f+b0gqlXzCaS2du2qhHc+kMVgHhZnexjoxDcz0B+9Z9cB72MU4DR2Jbvy1U4PSmao2GkwlXaVDV9D6jQbUo4s/fYdqYYnq9nj0nzpFwPYXaN7UBbpVbUFiu9xlQXO/lPHi9d/6Iod7zDalVsl1TVMDmv9+mcbf3cXTxsXToQPF3cfkaDaoY2/5KpZIGlSsRf+Ee24QnLxTfY5ifyjItO5ftR8/So2n5dcqqNRpOXrpGg6rG6RaVSiUNqkQSf8H8VCU3M+TjPAlJqdSJDjf53f7TF2n9xuf0eO8HPp2+lMzccuqzUlqh9A1Cm3jzfZEebeJZlP7m/20BsLHF6dl3cRr0HvadB6H09Cv5lcLK0J7Va26eZk0PWg1WgaWXHWEZOp187vfz/1GZ3j359ttvOX/+PH5+foSHh2NzS4fHwYMHLRLcvcjIy0er0+N1y/QFXi5OXLyRZnafg+cTWbQ7nrkjBz+MEM3KzM5Fq9Pd9lq2p5sLl64llbKXqZ9nLcbbw436cebn2l2xdQ9O9va0qlfrQcO9L84OhkZc7i33j7mFxt+ZExeuIMBTwe8rymeOzNJk5KvQ6vW3TYHi5WRPQlq22X3CPF0Z26UhMb7u5BSqmb7nJIOmrWX+0C74uRo7PbaevcKoxTsoVGvwdnZg4tNt8HC0/FQrmTl5aHU6vNxMRwZ5uTmTcD251P1y8gvo9PonFGk0WCmVjBrYk4Zx5kdbq4rUjP97JR0a1sLZwfJ5AGM+bisXri4kXCs9H7n5BXR6dVxJPkY+25uG1WNLTV/eMnJLuS65OpNQynUJIKegkPajf0St1qJUKnj36U40uqkRPOrJDnw0cwUdRo/HWqlEoVTwQb/O1CmlkfsgsnJy0Op0t02r4unmxuUrZXtF39HBgWqx0Uydu4iwkCA83NzYsG0nx0+fJcjf/+4HuIvs7Cx0Oh3uHqYjQN3dPbiaaL7BnZmRcduIUXd3dzIy0kt+HjZ8BD+P/57BA5/CysoKhULJiNfeIK66+Skw1q1dRUhIKFWqVnvAHBmUej7doZ4Dw/nU7t3xxvPpqY4l51O4vxcBnq6MX7KJ95/phIOtLdM37uFGZg4pWWZe/7ZkPlxMH+x6ud5DPt77GbWmOB99O9CoSoQxHx6ujF+6mfef7mjIx6a95ZqP0utvVxKu3binY/w0a8lt9ffbg57gsz9m0/nlMVhZKVEqlLw39GlqVzG/BoAlFOQYHgQ7OHuZbLd39qYg984deOlJZ1j+29NoNSpsbB1p0+8nPHyNsVaq0QVnj0AcXXzJSDrNvjXfkpV6kTb9fipTrDnF5dvttvLqwdVE8500mRnpZsq3BxkZhlGKWZmZFBYUsHDebJ4Z8BwDBw3j4IG9fPnpB3z0+XfEVa8FQPMWbfDx9cPTy5uEi+eZ/tfvXL2SyKgxH5UpL+a4uxhGdWfmmraBMnO1Jb8zx9fLmvaNXVi+OZuF6zOJCrXjuZ6eaLR6tuy7vQzYWCvo38WTHYfyKFBZdkCCu6vhtiIr55Y85GjwcC09D35e1nRo6sqyTZksWJdOVKg9z/f2RqPVs3mvcTGbOtUceXOQP3Y2CjKytYz79Ro5eZa9Q8vKzkGn0902rYqHuxuJV8r+4K1ybAz/e+NVQoKCSEvPYMbsObwx8l3++GU8juXUIejuVnxOZZvOaZ+VrcXDtfRbQD9vGzo2d2Pphgzmr04nOsyeIU/4oNHo2bTH0C4+eCKfXYdzSU5T4+9jQ/9u3rz/cjCjvr6MruJmXfnXUTg4oVBaoc83XZRJn5+D1U0dYzdTunmhDIlGfeoA+Yt+Q+nug32bPqC0omj3mocR9m0yc/KL6z3T+wxPVxcSrpdeV+TkF9Dxjc9QazQoFUpGDexxx/uMH+euomODmuV2nwGl13sO91jvLZtorPfa9v8JDz9jvbd7xRf4htUirGobywdezNiWuuWez9WJhKTSB3flFBTSfuS3xjbhM51pVNX8ekBLdx3G0d6WNo+V30N6Qz50t02r4uXqfOd85BfS4e2vSs6p0f270rCa8TtoHBdN69pVCfL24EpKOj8tXMeIH6Yy9d1hWCkt+yDvn/Ktyzeta/X5uVh5+JrdR5eZQuGGeehSr6Owtce2dgsc+7xM3sxv0edloctIRpedgV3jThRuWgDqImxrNUPp4o7O8c4PwIUQllGmTvLu3bs/0GKdKpUKlcp05Ie+SI2drU0pe1hOXqGK96YtZ+xTHfEoZQT2f8HUJWtZt+sAE95/vdR/t2VbdtGhSb1y/3etHqGga0Pjzc/Mjfffye3qCJ3qWTFt3d3nLP83qBnsQ81gH5Ofe/++jPmHzvJyC+PbCfXC/Jnz/ONkFqhYePgc7yzaxvRBHctlTvKycLK3Y/bHb5BfqGLviXN8N3sZQT5e1K1i2mhSa7SM+mUGemD0s73MH6wCOdrbMevTt8gvLGLf8bN8P2sJQb5e1C3HzqXy4GRnx9/vDiVfVcTe0wl8M38dQd7u1IsJB2D25n0cvXiVH4c/SYCnGwfPXebzOavxcXOmYZWKGzl/P8a8/hJf/PwbvZ57GSulkujIcNo0a8zp8/c2ArciLF+6mDOnTjJm7Mf4+Ppx/Fg8v/36E56eXtR6zHSUqkqlYuvmjTz5tPmFPB8mJzs75o4eQr6qiD2nE/h2wXqCvT2oFxOGjZUV373Qhw9nLKfZ/77DSqmgQeUImlYzzFf+b2LIx3Pkq9SGfCzcQLCXuzEfQ3vx4cyVNHvnB0M+YsNpWrUS/65cGE0prr8nvv+aSf3895otHD2XwLf/G0aAtyeHTp3jq78Mc5I3qF76wrP34/zhZexY8mHJz+0GTijzsdy8w+kxYiFFhbkkHFvDtvmj6TR0WklHeeX6T5ak9fSPwcHFh9WTB5OddhlXL/MLSj9ser2hwVG/YWO69XwCgIjIKE6fPM6alctKOsnbdzKuPxIWXgkPTy/GvvsW169fJSCgbItAN63txLAnjVPhff7HvT1guZVSoeB8oorZKw0d/wlXiwjxt6F9Y5fbOsmtlPDmsz6ggD/mPfgCYM3rOjOsr7Ej4NPfyvYAVaFQcD6xkJnLDQ8nL14pIjTAlg5N3Ew6yY+dLeCtLxNxdVbStpEbbw32Z9S3V8jKfbiDK8qifl1jXVEpIpwqsdH0e+4FtmzfTqf27SzyN5rXc2H408aO108mlG0qNoVCwfnLhcxYanh4efGKitBAWzo0cyvpJN9+wPi9XLpWRMKVIn77OIK4GAfiT5f9jREBKBTo83MpXPc36PXokq9Q5OyGbd1WFdZJXlZO9nbM/ug1CgqLiu8zlhPs42n2PmPkrzMBPaOf7WnRGM4dXsaOxR+W/Nz+Aeu9nq8Y6r2Lx9awdd5oHh86DQ+/KC6d3Mj1C7vpMWKhBaK2PCc7W/4e86LhHuPURb6Zt4Ygbw/qmRnZv2THIR6vXwM7m/Lvm7lfTva2zPngZQpURew5eZ5v/15FsLcHdSsb7oM61jcOYIkO9ic62J+uo79j/+mLNKhi/qHAw6RLuoQuyfiWd0FSAk793sYmriFFe9aATkfByqnYt3kSlxc+Qq/Tok08hybhZIW+TSLEo6RMneQffvjhA/3Rzz//nHHjxplse69/N8YM6HHfx/JwcsRKqSAt23RhhLScPLzNLI6XmJrJtfQsXv19fsk2XXGHQO3XvmTJmBcI8bl98SdLc3d1xkqpJD3LdGRBelYOXu53nqNwxvL1TF26lp/ffYXoMPM3Z4dOnePStRt8+upzZn9vSacT9Vy9ad5Iq+KHtM72kHtTO9nZHpIyzHdbBHopcHZQMKyL8ZS0UioI89NTv7KSj2dqbl3TwmI8HO2wUihIzzMd+p6WV4jXPc5hZmOlJNbPk8QM0+/TwdaaUE8XQnGhRpA33SYsZdGRczzfOK6UI5WNu4sTVkolabeMnEzLysXbzCJy/1AqlYQUz1cfGxbExWvJ/LV8o0nj1dBBPp3raRlMHDWsXEd3/JOP28pFdg5e7nfLh+GhhSEfN5iybEOFdZJ7OJdyXcrOxdvMQjT/UCoVhPoa5v6rHOLPxeupTF69k3ox4RQWqflpySa+G/YEzasbXneNCfbjdOINpq3fbfFOcjcXF6yUSjIys0y2p2dl4enhXubjBgX48dOnH1BQWEhefgHenh6M/Xo8gX7mR1zcD1dXN5RKJZkZpnNZZmZm4O5p/rru7uFBZuat6TPx8DB8DyqViulTJzN6zIfUq98QgIiISlw8f55FC+fd1km+c/tWVCoVrdtYptMD7nA+lVLP/eO28ykplUlrdlIvxvDmQdXQAOa+O5ScgkLUGi2eLk70++ovqoUGWCx2s/nIMX3tNS077+7lonhOzMrBflxMSmPS2l2m+Rj9fHE+dHi6ONLv6ynllo/S6+/su9bf05evZ+rSdfzy7giT+ruwqIhf5yzj6zeH0rS2oX6IDgvizKUrzFi+wWKd5KFVWuMTYryB1GqKACjITcPR1VgGC3NT8Qy48wgyK2vb4gXMwDuoGilXj3Ji53Sa9BhnNv0/fzc7vWyd5C7F5TvrtvKagbuH+TlT3T08zZTvDDyK3zZxcXXDysqKkNBwkzTBIaGcPFH6XL8xsYZ/m6RrZe8k3388n3PfGDsxra0NN7/uzlZkZhs7fd2drUi4VlTqcTKytVy5YTpX9NUbahreMge4oYPcF28Pa8b9mmSRUeR7j+ZxJsH4lo5NcR7cXKzIuDkPLtZcvFL6tCiZ2RquJJnm8cqNIhreMm+2qkhPUqqapFQ4k5DMz2NCadPIlYXrLDd/sZurC0qlkozMTJPtGZlZJeeNJTg7OxMcFMi1e3x79F7sjc/lTIKxLfvP9+Huam3yfbi5Wt3x+8jI0pB4/ZbvI6mIRo+V3g67kaYmK0eDv4+tdJLfRF+Qh16nRXHLCFCFowu6PPNvq+rzstFrtSaL+enSb6B0dgOlFege/kMhdxfH4nrP9D4jPTsHr7vcZ4SW3GcEcvF6MpNXbLr9PuPXmVxPy+S3kUMtfp8RWqU1vvdQ7xWUod5LvXKU4zun07TnOK6f3012eiLTPzada37jzNfwC69D56HTLJIfY1vqlnu+7Dy83e7UllIS6msYPV85JICL11OYvHr7bZ3kB89eIuFGGl8OfcIi8ZbGkA8l6dm35iP3tjejb2Y4pwz5iA0tzseqrSWd5LcK9vHE3dmRxOQ0i3eS/1O+lY7O3DzGT+HojO6Wt0dKpdOhTbmK0t34ZoMu5Sr5c74HW3vDmyiFeTg+8Qra5PKZRlAIYapM75xUqlSJtLTbX43OzMykUqW7d9SMHj2arKwsk8/bfTuXJRRsrK2oEuLPnuJFQAB0Oj17zlyiRvjtNy4Rfl7MH/08f498ruTTMi6aetFh/D3yOfw9yn8RHUPc1lSOCDFZtEun07H/+GmqR5f+bzht6TomLVzFj6Nepmpk6VMsLN20k8oRocSEBVs0bnOKNJCeY/ykZEFOvp5KAcbTy84GgnwUJKaYvym7cF3PL0vVTFyuKflcTdVx9IKeicvLr4McwMbKiioBnuxJMN6o6PR69iYkUSPo3hY81ep0nEvOxNv5zp3qer0edTkMlbextqZyeBD7Tpwr2abT6dh34hzVo+59Kg5DfMYHHv90kCfeSGXCOy/g7mz5hcpuZshHMHtPGOd20+l07Dt+lhpR4fd8HJ1eT5Fac/eE5cTG2ooqoQHsPW0cHa3T6dl7OoEale69Q0Wn11NU/H1otDo0Wh3KW0YRKJWKkgd9lmRjY01MZAQH4o1z/ep0Og7GH6dabPQd9rw3Dvb2eHt6kJOby75D8TStX+fuO92FjY0NUVExHDlinPJLp9MRf/gQlStXNbtP5cpViT9sutDR4UMHStJrtRo0xa903kxppURv5p3ydWtXUb9BI9zc3B8wN0b/nE97TieUbNPpDPNz14i492u87pby/Q8XB3s8XZy4lJzOiUvXaVmjfBa4Lamvb83HmUvUiLi/cvHPXOQ3M+TD0ZCPy0m0rPHg56k5pdXf+46foXp06fNFGurv1Ywf9dJt9bdGo0Wj1aJQ3lq+lRYd2W9j54SrV1jJx903Cgdnb65d2F2Spqgwl5Qr8fiG3ueaLXp9SeeDOenXDQvdlnWeVhsbGyKjYog/bFq+jx4+SGxl81MbxVauSvwR0ykAjxw6QExxehsbG6KiK3P1iul0TNeuXcHH1/xUCAAXLxjqWg9Pr1LT3E2hSk9SqqbkcyVJTUa2hrgYYweRg52CqDA7TieU3qF5+mIhgb6mo/0CfG1IyTAdvPDms774+9jw8YQkcvMt0w4x5EFd8klMKiIjS0ONGOObmg72CqLD7DidUPoc7icvFBLoa2uyLdDHlpQMdSl7GCiVipKOYEuxsbEhJiqSQ0eMiwnrdDoOHYmnamXLTeNWUFDA9etJeJbyALcsClV6klLUJZ/E60WkZ2moEXvz96EkJtye0xdK/z5OXSggyM/0nAr0tSUlvfTvw8vdGhcnKzKyKq7t9a+k06K7cQXr0JvrIwXWoTForyeY3UV79SJKdx/AeG4rPXzQ5WZVSAc5GOq9KuFB7L3lPmPviXPUiLz3h546vR612piHfzrIL99IZeLbQ8rlPsPWXL3n4s218w9e7+n1enRaQ71Xo8VQer6ymB4jFpZ8ABp0HkXz3p9ZLD821tZUCQ1k78mb7zF07D11gRqV7q9NWGSmTbhox0GqhgYQG/Lg0yDeiY21NVXCAtlz0rgWmzEfIfd8HP1d7vlupGeRlVdwx0FjZabToku+ilXwzYOyFFiFRJmMFr8jhQKldwD6PDOd6kWF6AvzULh5o/QNRnPB/PorQgjLKtNI8oSEBLTa2ytplUrFlXuYr8/Ozg47O9NFiAofYEqQAa3q8/6M5VQLDSAuLIAZm/dToCqiR0PDU+P3pi3D192F17q1xM7GmuhA0xs0FwdDLLduL2/PdG7DuAnTqFIplGpR4cxZtZEClYouLQyjFcf+OhVfD3defro7AFOXruX3eSv4eMQgAnw8SS0e4elob4ejvfGmKje/gA17DvFav4qbFmP3SR3NqytJy9aTkaundS0rcvLh1GXjzf6z7aw4eVnP3tM6ijSQnGl6jCIN5Kv0t20vD/3rV+aDZbuoGuBFXKAXs/aeokCtpXsNwwOLMUt34uviwKutDAuY/LbtKDWCvAnxcCZHpWbq7hNcz86jZ01DJVlQpOHPncdoER2Mt7M9mfkq5h44Q3JOPu2qlM9r5v07NmfsH39TJSKYuEohzFqzjQJVEd2a1QPgg99m4+PhxitPPg7A5GUbqRoRTLCvF2qNhu1HTrFi5wFGDzScN2qNlpE/T+PUpav88MZzaHU6UjMNo17cnB2xsS7T5eOu+nVqwYe/z6ZqRAjVKoUya80WClRFdG1uWCX8g4mz8PVwZUTfLgD8tXQ9VSJCCPbzRq3WsOPISVbu2M/oQX1KjpmVm0dSWiYpGYYyc6l4nnYvNxe87zLys6wGtGnA+1OXUjU0gLjwIGZu3EOBSk334sWCx0xZgq+7C6/2aA3ApNU7qBoWQIi3B0UaLduPn2PFnqO8+7Rh8UdnBzvqRIfy/cIN2NlaE+jpxv6zl1m+5yhv9bbcqOWbPdn9cT7/cSKxUZWoEh3JvGWrKCgs5PE2LQD49Idf8fbyZNiApwDDYp8JiYY6QK3RkJqeztkLCTg42BMcYGhs7z10BL0eQoICuHr9BhOmzCI0OLDkmA+qe8/e/PDdV0RFxxITE8vSJQspVBXSpl1HAL7/5gs8vbx5dvAQALp278W7I99k0cJ51KvXgK1bNnHu7BlefuUNABwdnYirXoO/Jv+OrZ2tYbqVo/Fs2rCO54a+aPK3r127yvFjR/lg3KcWycvNBrRuwPvTllItLIC4sEBmbNpLgUpNj0bF9dyUpYZ6rkcr4KbzyceDIrWWbcfPsWLPMd57umPJMdcePImHsyMBnq6cvZrMV/PW0apmDI3LYSFYYz7q8/705VQL9ScuPJAZm/YZ8nFzfe3mwmvdWxrysWYnVUMDCPFxp0ijZdvx86zYe4z3nupgPh/XUvhq/npa1YihcTlOQfRM59aMmzC9pP6evWoTBSoVXUvq72n4eLgxoqT+Xsdv81bwyYhnCfDxKrmWGupvO5wdHahdJYrxMxdjb2uDv7cnB0+eY+XWvbw+oPzqcoVCQbUmAzmyaSJuXmE4ewRzcP14HFx8Ca3StiTdqkmDCavalqqN+gGwf813BMc0w8k9ELUqjwtHlnP94l46DPoDgOy0y1w4spzg2BbYObqTkXSaPSu/wD+8Lp7+Ze9o7NbzCcZ/9wWR0TFEx1Rh+ZL5FBYay/eP336Gp5cPAwYNBaBLt96MGfU6SxbOpU69hmzfupHz504z/JW3So7Zo3dfvv3yI6rG1aB6jcc4dGAv+/bs5OMvfgDg+vWrbNu8gTp1G+Di6kbCxfNM/uNXqsbVIDzCsqPSVmzJpnc7d5JSNCSnq+nbyYOMbC37jhrfvvhguD97j+axervhhnr5liw+eS2Qnm3d2HU4j6hQO9o2dOG3uYbpVKyU8NYgXyKC7fjizxsolYqSOc5z87WYed70QJZvyaRPBw+upxRxI03D0509Sc/Ssjfe+CbMhy8Hsic+j1XbDHXy8s2ZfPZGML3bebDjUC7RYXa0a+zKxL8NdbWdrYI+7T3YdyyPjCwtLs5WdGrmhqebFTsPWX7tgd49uvPV9z8SEx1FbEw0i5Yso7CwkA5tDfMMf/ntD3h7efH8oAGAYbHPS8XrXqg1GlLT0jl34QIO9g4EBRreaPlt0l80rF8PP18f0tIzmDZzNkqlklYtmlk8/pst25jBE508uZZcRHKamme6epOepWHPEeO/20evBrP7SC4rt2QCsHRjBl/8L5Q+HTzZfjCHmDB72jd149dZhimB7O0U9H3ci12HcsnM1uDvY8OzPX24nqLm0MlyWiDvLqycHHGKMravHSOCca1ZmaL0LAoTr1dITP9QHdiMQ8dn0N5IRJt0GdvaLVDY2KI+vgcA+4790Odmodq+HICiIzuwrdUM+1Y9KTq0DaWHD7b121F0aKvxoDa2xR3pBko3T5Q+QegL89DnZJZLPvp1aMbYP+ZSNSKYapWCmbV2OwUqNd2aGRYxf//3v/H1cOWVJwzt1snLN1E1PIhgXy+KNBp2HDnNyp0HGT3QMJ2KWqPlnV9mcOrSVX58fRBanZ7UTMN1zc3ZodzuMxQKBdUaD+Twpom4eofh4hHMgXXjcXTxJayqsd5b+edgwqsZ6719xfWec3G9d7643utYXO85uviYfQjs5B6Ai6dlB60NaNuI96csomp4oOEeY8NuCorUdG9suE8d89dCfN1debWnIT+TVm2jaligoU2o0bL92FlW7I7n3X6mgxRzCwpZd+AEb/Vpb9F4S9O/XRM+mLyAqmGBxEUEM2v9TgpURXRvYhg4M2bSfEM+ehvimbRyC9XCggj29aRIrWH70TOs2H2Y0f26AZBfqOK3ZZtoU7sa3m7OJKak8+O8NYT4etK4WvkMnCg6vBX7tn3RJl9BdyMRm1rNUFjboj6xDwD7dk+hy82iaNcqAGzrtUWbdBldVioKOwdsa7dA6eJBYfH1AMA6qgb6glx0OZlYeQVg17wbmgvH0SaeMRuDEMKy7qv2Wbp0acn/r1mzBjc344JuWq2WDRs2EBHx8Ffd7VinChm5+fy6YhupOXnEBvny60t9SxY5S8rIvm305b9Bu0Z1yMjO4ff5y0nLzCEmLIgfR71c8rr2jdQMk7gXrtuGWqNh1A9/mhxnSO/HeaGPsZJbt+sAer2eDk3qPpyMmLH9uA4ba+jayAp7W7icrGfGetP5xj1cFDja/ztmje1QNZyMfBUTth4hLa+QWD8PfunbCq/ikeFJ2Xkm30VOYREfrdxNWl4hrva2VPH3ZMrA9kT6GMqEUqkgITWbZfFbySxQ4eZgR7UALyYPaE+kj3u55KF9g1pkZOcxceEa0rJyiAkN5Kf/DSl5DTIpPdNklGKhqogvpi0iOT0TO1sbwgN8+WTY07RvUAuAlIwsthw6AcDT739v8rd+G/XibfMJWiwfDR8jIyeXiQtWk5aVTUxoED+9/YIxH2mm5aJAVcSXUxfclA8/Pn6xH+0bGldk33rwOOP+mFPy87u/TAdgaM/2DOtl7DS0pA51q5GRm8+E5VtIzc4jNtiPX195Gq/iaSWup2eZrO1QoCris9mrSM7Mwc7GmnB/bz4d3J0OdY0jJL98vhfjl2zk3clLyM4vIMDTjRHdWvJE89rlkoc2TRuRmZXN5NnzSc/IJCoijG/GjsKzeDHPGylpKG4aYZ2ansHzb75b8vOcxSuYs3gFtapVYfyn7wOQm1fA79PnkJKWjouLMy0a1WNov75YW+hmqFmLVmRlZzFr+hQyMjKoVCmSDz/6vOQ1+ZSUZBQ3LdxTpWo13nrnXWZO+4vpUyYTGBTEu++PIyzcWJe9PXIM06ZM4tuvPyc3JwcfXz/6D3yOTo93Nfnb69euxsvbm8dqW/7a27FuVTJy8/j15vNpxFMl51NSRhbKm8p3QZGaz+as5kbx+RTh58Wng7rTsa5xRH1KVi7fzF9HWk4ePm7OdGlQnWGdyrfDpmOdqrfX1y8/aayv003r64IiNZ/NXWOaj2e70rHOTfnIzuWbhRsM+XB1pkuDOIZ1bFqu+WjfqA6Z2bn8Nn9FSf09/qb6Oyk13aR8Lyiuv0f+MMnkOEN7dyqpvz999Tl+mbOE93+eSnZuPv4+ngzv24Xebcs3L9WbDUFTVMCOxWMpKszGN6w2HQb9jrWNcTBDTvplCvONU1oU5KWxdf4o8nNSsLV3wcM/hg6D/iAoqgkASisbrp3fxfGd09CoC3By8ye8Wjtqthz+QLE2bd6a7Kws5syYQkZGOhGVIvngoy9LpltJSUk2uSZVrhrHG2+PYdb0ycyY+icBQUGMGvOxSflu2LgZw15+g4XzZjHpt58IDArhnXfHUbVadQBsrG04cvgAy5YsQFVYgLePL42aNOOJpwY8UF7MWbIxC3tbBcOe9MLRQcmpiyo+/S0JtcbYVvLzNozY/cf5xCK+nnyDfp096dPeneR0DVMWp7P9oKFT2tPNmnrVDeXrm7dN39gY+/N1TpwvfURxWSxan4mdrZIXn/LFyUHJyQuFfDzhmkke/L1tcHU25uHcZRVf/nmd/l29eKKjB8lpGiYvTGXrfkNHrk4HQX62tKzviquzFTl5Ws5dLmTMj1dJTCr97YWyatm8KZlZWUydMZuMjAwiK0Xw2Udj8Sieaiw5JcWkPZWWns7wV98s+XnewsXMW7iYGnHV+PYLw0PT1NQ0Pvv6W3Kyc3BzcyOuahXGf/sl7jfdS5WHResysLdT8tIzfjg5Kjl5voCPfr5q+n343PJ9XFLxxW/XGNDdmycf9+RGmppJ81PYus/QganTQXiQHa0auuLkYBg9fvhkHjOXpaHRVEy73q1OHI02TC/5ueo3hrZI4rSFxD8/ukJi+ofmzCEKHZ2wa9wJhaOrYSqFhb+hL17sT+niYfJGoD43k/yFE7Fr2QOnge+gz82i6NAWivZtKElj5ReK05MjSn62b2noeC46vpfCNbPKJR8dGtQkIyePCYvWkpaVQ2xoID+/9dxN7fPM29rnn09fTHJ6VnH73IePX3iKDg0Mg0Vuvs946oMfTf7W7yNfKLf7DIAazYvrvUWGes8vrDYdBpup9/KM9V5hbhpb5xnrPU//GDoO+oOg6CblFmdpOtSLIyM3jwlLN5GanUtssD+/vtr/LvcYK0jOyDbeYzzXiw71TKf/XL3vGOj1dKxf/eHko351Qz6WbCAtO5fYkAB+ef3ZkulWbj2nClVFfDZzGckZWdjZ2BAe4M0nzz9Bh+J4lUolZ68ksWznIXLyC/Fxd6FRtShe6t4WW5vyeeiiOXsElYMTdg06oHByQZdyjfylf6IvMJRvhbM7ypvKt8LOAfvWfVA4uaAvLECXcoX8eT+jy0g2pnF0wa5pVxSOzujzclCfOkDRvvXlEr8w9S9blklUEIX+Pt7jVRZ3LCgUitte/7WxsSE8PJxvv/2WLl263HcghWv/uu99/m1U3vf+atC/2XfHLDOis6KN1H9e0SE8MF1srYoOwSL0Squ7J/qXs85Nr+gQLCI7wPy0I/81mbYPPod5RQtL2FTRIViG7j+w2vJdFHmVbV7pf5sJF9pUdAgW0bWW5eZprihjfyl9ipT/EnNvjv7X/PDKnadt+a949fv/flsKYOgfXe+e6F+u2ZedKjoEi7Bq1LKiQ3hgv1zrVtEhWMQrXn9XdAgWobcqn87oh0l7eG9Fh2ARLq98XdEh/Of8sFR6ye/X693+fYORH9R9XcV0xTfCERER7Nu3D2/ve5uvWQghhBBCCCGEEEIIIYT4NyrTo76LFy+yYcMGNmzYQHJycknn+T8mT55skeCEEEIIIYQQQgghhBBCiPJUpk7yjz76iHHjxlG3bl0CAgJM5rwSQgghhBBCCCGEEEIIIf4rytRJPmHCBKZMmcKAAZZftEgIIYQQQgghhBBCCCGEeFjK1EleVFRE48aNLR2LEEIIIYQQQgghhBBCPDQ6WbdTAMqy7DRkyBBmzZpl6ViEEEIIIYQQQgghhBBCiIfqnkeSv/nmmyX/r9Pp+P3331m/fj01atTAxsbGJO13331nuQiFEEIIIYQQQgghhBBCiHJyz53khw4dMvm5Vq1aABw7dsxkuyziKYQQQgghhBBCCCGEEOK/4p47yTdt2lSecQghhBBCCCGEEEIIIYQQD12Z5iQXQgghhBBCCCGEEEIIIf4/uOeR5EIIIYQQQgghhBBCCPH/iV5f0RGIfwMZSS6EEEIIIYQQQgghhBDikSWd5EIIIYQQQgghhBBCCCEeWdJJLoQQQgghhBBCCCGEEOKRJZ3kQgghhBBCCCGEEEIIIR5Z0kkuhBBCCCGEEEIIIYQQ4pFlXdEBCCGEEEIIIYQQQgghREXQ6/QVHcJ/kKKiA7A4GUkuhBBCCCGEEEIIIYQQ4pElneRCCCGEEEIIIYQQQgghHlnSSS6EEEIIIYQQQgghhBDikSWd5EIIIYQQQgghhBBCCCEeWdJJLoQQQgghhBBCCCGEEOKRZV3RAQghhBBCCCGEEEIIIURF0OkrOgLxbyAjyYUQQgghhBBCCCGEEEI8sqSTXAghhBBCCCGEEEIIIcQjSzrJhRBCCCGEEEIIIYQQQjyy/jVzkutt7Ss6hAemsXWs6BAsQqXSVnQIFqEMCazoEB7c6cMVHYFlRFWr6AgemMbFq6JDsAi1lV1Fh2ARehQVHcID011JqOgQLEIXW6uiQ3hgKnu3ig7BIuzt/vvlAkCh+O9PCukb5FHRIYhittqLFR2CRfiFhlV0CBbR7MtOFR3CA9s2clVFh2ARTfd0qegQHpi19f+Pek/j6FrRIVhErmtQRYfwwFztj1R0CEKICiQjyYUQQgghhBBCCCGEEEI8sv41I8mFEEIIIYQQQgghhBDiYdL/919kFBYgI8mFEEIIIYQQQgghhBBCPLKkk1wIIYQQQgghhBBCCCHEI0s6yYUQQgghhBBCCCGEEEI8sqSTXAghhBBCCCGEEEIIIcQjSzrJhRBCCCGEEEIIIYQQQjyyrCs6ACGEEEIIIYQQQgghhKgIOp2+okMQ/wIyklwIIYQQQgghhBBCCCHEI0s6yYUQQgghhBBCCCGEEEI8sqSTXAghhBBCCCGEEEIIIcQjSzrJhRBCCCGEEEIIIYQQQjyypJNcCCGEEEIIIYQQQgghxCPLuqIDEEIIIYQQQgghhBBCiIqg11d0BOLfQEaSCyGEEEIIIYQQQgghhHhkSSe5EEIIIYQQQgghhBBCiEeWdJILIYQQQgghhBBCCCGEeGRJJ7kQQgghhBBCCCGEEEKIR5Z0kgshhBBCCCGEEEIIIYR4ZFlXdABCCCGEEEIIIYQQQghREfT6io5A/BvISHIhhBBCCCGEEEIIIYQQj6wHGkmenJxMcnIyOp3OZHuNGjUeKCghhBBCCCGEEEIIIYQQ4mEoUyf5gQMHePbZZzl58iT64ncSFAoFer0ehUKBVqu1aJBCCCGEEEIIIYQQQgghRHkoUyf5c889R0xMDJMmTcLPzw+FQmHpuIQQQgghhBBCCCGEEEKIclemTvILFy6wYMECoqKiLB3PPZuzaS9T1+0gLSuXmGB/Rj7VieoRwWbTbjh4gkmrtnE5JR2NVkeorycD2zWmS8OaJWlqDfvQ7L6v92rHoA5NyiMLACxYtYGZS1aRnplFVHgobz7fj6rRlcymXbJuC6u37ODC5asAxFYK58V+vU3S//n3YtZv30NyWjo21tbEVgpn2DO9qBYTWW55+Ee7OtbUq2yFgy0k3NCxeLuGtOx7W/2gRU0rOtW3YftRDct3a0q292xqTVSQEldHBSo1XL6hY9VeDSlZll9VYc62g0zduI/U7DxignwZ1bsN1cMC7rrfqoMnGTV1Oa2qR/HDkJ4l29cfOcO8HYc5mXiDrPxC/n57IJWD/Swe983+3n+aqXtOkpZbQIyfByPb1yUu0Nts2qXx5xm7fLfJNlsrJXtGPg2AWqvj1y1H2H7+Klcyc3G2s6VBuD+vtqqFr4tj+eZjwy6mrt5mKN8h/ozs15W4SiFm0244cIxJy7eQmJyGRqsl1M+bAR2a0qXxY2bTfzJtMQs27+V/T3WmX/vyK9vmzF23nekrNpKWlUN0aCBvD+xFXGSY2bQb98Xz19J1JN5INVy3/Lzp93hLOjet91BjXrxiFXMXLiE9I5PIiHBeGfY8lWOizaZNuHSZKTPncOb8BW4kp/DSkMH07t7ltnQpaWn8MWUGew8cRKUqIijAn7dfe5nYaMvUKSuWLWbxgrlkZKQTHhHJC8NfISa2cqnpd2zbwszpf5F8I4nAwGAGPjeUuvUalPy+++NtzO737HMv0KtPXwCuXklkyuTfOXniGBq1hvCISjwzYBA1apo/D8vCkuUbYOLWeNacuERSTh42VlZU8fdkRIuaVA8yf0xLmbt+B9NWbTGUg5AA3unfg7jIULNpN+4/yuRlG0lMTkWj0RLq703/ji3o3KQOAGqNlgkLVrM9/hRXk9NwdnSgQdUoXnnycXw83Mo1HwtWrmP24pWkZ2YRGR7CG0MGUrWUunbp2k2s3rydC5evABAbGcGwfk+YpN+yax+L12zk9PkEsnNz+eu7T4iOMH99sCS9Xs++NT9xYs88VAXZBETUpnmvsbj7hJe6z7Gdszm2azY56Yb2iKd/FHXbvkxYleYlaY7v/puzB5eTcvUEalUez3+8FzsHV4vEvHLZYhYt+JvM4jI+dPgrxMRWKTX9jm2bmVVcxgNKynjDkt/3eLy12f2efe4FevZ5ihs3kpg7ezpHjxwiMyMdD08vWrZuR5++/bCxsbFInkrTuYk9Tarb4mCn4MI1DXPWFZCSqSs1/eON7enc2N5kW1Kalo//yinXOG9WHjE3qWFL3Sq2hPha4WCn4H8/ZVGgKr8VthatWMOcxctIz8giMjyU114YTJUY83XUxcuJTJ41jzPnL5CUnMqI5wfyRLfHTdJotTqmzJnH2s3bSc/MxNvTg46tWzDwyV7lPtioazMHmtW0w8FOwfmrGmatySM5o/Tvo0tTB7o2dTDZlpSmZewfWSU/9+vgSJVwG9yclajUes5f1bBwUz430ks/blnZ1GyKXd3WKJxc0KVco2DTAnRJl0vfwc4B+yaPYx1VA4W9E7qcdFSbF6G5eBIAq6BK2NZtjZVfCEpnN/KXTEJz/qjF4y4Lz6Z1qfTW87jVjsM+0Jf9vV/ixtINFR1WiXlrtzBj2XrSsrKJDg3if4OepFpUuNm0izfsYMW2PVy4cg2AyhGhvNS3m0n6+k+/bHbfV57pwYCu7Swdfgm9Xs/+tT9xaq+h3vMPr02znmNxu0O9d3zXbE7smk1OhqHe8/CLok7blwmtbKj3CvMz2b/2J66c2UFu5nUcnD0Jr9aGuu1fw87BxeJ5mLtuO9NXbipuSwXy9sCed76nWLbecE+h0RHq702/Ti3p3LSuSZoFG3dyKuEKWbn5zPzkLWLDgiwe962M19pMosLDePUu19q/Zs3l9PmL3EhO4eXnB/JEt84maf651q7bvK34WutJx9YtGFCO19q/D51j2r7TpOUVEuPjzjttHiMuwNNs2qXHEvhw9T6TbbZWSna/0dtk24W0bMZvjedgYgoanZ5KXq583b0xAa7lew8uhChjJ3mbNm04cuRIhXWSr9l3jG/nr+G9Z7pQPSKImRt289L4GSwZNwJPV+fb0rs6OTDk8eaE+3tjY23F1vgzjJ26GE8XJxpXM+Rh/Vdvmeyz/dg5xk1fQtvapd90Paj1O/Ywfsoc3h42kGrRlfh7+Tre+PhbZv/0OZ5ut99IHjp+irZNG1I9NgpbGxtmLF7J6x99w8wfPsXHywOA0EA/3hrSn0A/H1RFav5evobXP/6WuT9/gYeZY1pKi5pWNK5mxbwtatJz9LSvY81znWz4fn4RmrvMvhPsraBBFSuup93esL6aqufwOTWZueBgB23rWPP847Z8OUdl0dWHVx88xTeLNjPmyXZUDw9g5uYDDJ8wjyXvPY+Xi1Op+11Ny+K7xZupHXn7A5qCIjWPVQqmw2OVGTdnjeWCLcWaEwl8u+Eg73WsT1ygN7P2neKlOZtYPKwrnk72ZvdxtrNh0bCuJT/f3HQoVGs4mZTO0CbVifHzILuwiK/X7ef1eVuY9Vyn8svH3ni+/Xsl7w3oQVylYGat28lL3/3F4s/eNFu+3ZwcGdKlJeEBPthYW7HtyCk+nLwAT1cnGsfFmKTdeOA4R88n4uNefmWhNGt3H+L7mYsZPfgJ4qLCmL16C698+RsLvh6Np9vtjWdXJ0ee69aO8EA/Q74OHeej3+fg6epCoxqld/ha0qZtO5j45xRef3kYlWOiWbh0OSM/+JgpE3/Cw/32DshCVREB/n40b9qYCX/+ZfaYObm5vPbOe9SqHscXH47BzdWVq9eu4+J8+3dbFtu2bGLyHxMZPuJ1YipXZtnihXz4/kh+/X0K7u4et6U/eeI433z5CQMGDaFe/YZs3byRzz/+gO/GTyQsPAKAKTPmmexzYP9efv7xGxo3aVay7ZMP3yMgKJhPPv8GW1s7li5ewCcfjuG3SdPx8DTfUL4fli7fAGFeLozsUJdgd2dUGi0z9p7ipTkbWfJit1KP+aDW7jnMd7OX8e6zvYmLDGXWmm2M+OZPFn75Tin1tyPPdW1NRKAv1lZWbDtyknF/zsXD1ZnG1WMpLCri1KWrDOnWlpjQAHLyCvh65hLe+GEKM8a9Vi55ANiwfTc//zWL/704mKoxkcxdtpo3P/qK2T9/ZbZsHDp+krbNGlG9cjS2NjbMXLScN8d9xfTxn+PjZTg/ClQqalSJoXWTBnz566Ryi/222Db9Sfz26bR56gtcPIPZu+ZHlv8xhKfeXoG1jZ3ZfZzd/Gj0+Fu4eYcBek7tX8yqKS/z5BsL8fQ3PETTFBUSWrkZoZWbsXvldxaLd/uWTUz+Y0JxGa/C0sULGPf+SH75farZMn7qxDG+LS7jdes3YuvmDXzx8Qd8O/63kjL+14z5Jvsc3L+Hn3/8hkZNDJ0fVxMvo9fpGP7KGwQEBHH50kV+Gf8dhYUFDB4y3GJ5u1W7+na0fMyO6avySM3S0bWpAyP6OPHxXzl3bFtdS9Xy09zckp+15deXfJvyitnWWsGJi2pOXFTTo7kD5Wnjtp38Mnk6bw4fQtWYKOYtW8n/PvycGb9+V2rdF+jnS8vGDfl58jSzx5y1cAlLVq1n9OvDCQ8J5vS5C3wxfiJOjo706Vp+baoODexpXceOKSvySM3U0a25A6/2deHDP7Lu+H1cTdHwwxzjQwrtLU30y0la9p4oIj1bh6O9gq5NHXi9rwvvTsyyaPvcOuYx7Fv0oHDDXLTXL2FbuwVOvV4k96/P0Bfk3r6D0gqn3sPR5edQsHwKutwslK4e6AsLSpIobOzQpVxDfXwPjt2et1ywFmDl5Eh2/GkSpyyg7vxfKjocE+t2HeCH6QsZ9fxTVIsKZ86qTbz6xc/M+3as2XbsgZNn6NC4LjViIrC1sWHasnW88vnPzPl6DL6e7gCsnPCZyT67Dp/gk99n0rq+5QYYmHNk858c2zGdVn0N9d6+NT+yYtIQnnyr9HrPyc2PBp0M9Z4ePWcOLGbN1Jfp/Zqh3svPTiY/O5mGXd7Bwy+K3IxrbFs4lrzsZNoPGG/R+NfuPsT3s5YY7ikiQ5m9eiuvfPU7C74aZf6ewtmR57q1JTyg+J7i8Ak++mMOnq7OJfcUBaoiasVE0K5BLT6ZNNei8ZZm47ad/Dp5Gm8OH0KVmGjmL1vJ2x9+xvRfvzd7rVWpVAT4+dGicUN+KeVaO3vhEpasWsfo118qudZ+OX4CTo6O9C6Ha+2aU4l8t/kI77atTfUAL2YePMPL87ey6LmOpbfPba1Z+Lwxllvb54mZuTw/exPdq0fwYuNqONnZcCE1GzsrpcXjF6Z0lqzAxH9WmUran3/+yeTJkxk3bhwLFixg6dKlJp/yNn39Lno1rU2PJo8RGejLmH5dsLe1YfHOQ2bT14uNoPVjVagU4EOIjyf92jQkOsiPQ+eMoxC83VxMPpuPnKJeTATBPg/euVGaOcvW0q1tc7q0bkZESBDvDBuInZ0tyzdsM5v+w9eH0btja2IiQgkPDmD08MHo9Hr2Hz1RkqZ9s0bUq1mNIH9fKoUG8eqgp8nLL+D8pSvllg+AJnHWbDyk4cQlHUnpev7erMbVUUHVsDufYrbW0Le1DQu3aihQ3f77vae0XEzSk5Gr51qanrX7Nbg7K/BwtuyT4Omb99OrcQ16NKxOpL83Y55sbzindh8rdR+tTse705czvFMTgr1ur8i71qvGix0b0yCm/EcCAszYe4petaLoXjOSSB833utUH3trKxYfOX/H/bydHUo+Xs7GG08Xe1smPtOG9lXDCPdypUaQN6Pa1+NkUjrXs/LKLx9rttOreT26N6tDZJAf7w3sjr2tLYu3HTCbvm7lSrSuU41Kgb6E+HrxTLsmRAf7c+jMJZN0yRlZfDlrGZ+98CTWFdDImLlqMz1aNaJbiwZUCvJn9OAnsLezZemWPWbT160aRat6NYgI8iPYz5unO7YgKiSAw6cvPLSY5y9exuMd2tKxbWvCQ0N4/aVh2NnZsXqd+VFNlWOiGPbcs7Ru3rTU0ZVz5i/Cx9ubd14fQeWYaAL8/ahbuxaBAf4WiXnJovm07/g4bdt3JDQ0nOEjXsfOzo71a1ebTb9syUJq16lHrz59CQkNo9/AwVSKjGbFssUlaTw8PU0+e3fvoHqNWvgHBAKQnZXFtWtX6f3EU4RHRBIYFMzAwUNRqQq5dOmiRfJl6fIN0KlaBA0jAgj2cCHSx5232tYhV6XmbHKmRWI2m4/VW+nZogHdmtejUpAf7w7qhb2tDUu27jWbvm6VSFrXrU5EoB8hft48076ZoRycMfy7ujg68Os7L9C+QU3CA3ypHhXGyAE9OZlwhetpGeWWjzlLV9G1XUs6t2lOREgQb784GHs7O5Zv2Go2/dg3XqJXp7ZER4QRFhzIyJeGoNPr2B9vrL87tmzK4L49qVuzWrnFfSu9Xk/8tmnUafsiEXFt8A6Mpc1TX5KXnczFY+tL3S+8WmvCqrTA3Sccd58IGnZ6AxtbR5IuHSlJU7P5s9Ru/QJ+oTVLPU5ZLFk0j/YdH6dN+06EhIYzfMQb2NnZsWHtKrPpDWW8Pj37PFVcxp+jUmQ0K+9Qxvfs3kncTWW8dt36vPrmSB6rXQ//gEDqN2xCj15PsHvndovm7Vatatuxench8ec1XEvVMXVlHm7OSmpG3Xn0uk4H2fn6kk9ewcO76SuvmDcdVLFur4qE6+W/7tHcJSvo0r41j7dtSXhoMG8NH4K9nS0r1282m75KdCTDB/enTfPG2NqYH390/NQZmjSoQ6O6tQnw86Vlk4bUe6wGp87e+Rr+oNrUs2flzkKOnFVzNUXLX8vzcHdWUivG9o776XSQnacv+dz6fWw7ouJsooa0LB2JN7Qs2VqAp5sVXm6WbV/Z1WmJ+tgu1Mf3oku/QeH6eeg1RdjENTCb3iauAQp7RwqWTkJ77SL67HS0V86jS71WkkaTcBLVzpVozv07Ro/fLGXNVs6M/YEbS0q//laUWSs20KN1Y7q2bESl4ABGPf8U9ra2LNu8y2z6j0cMpk/75sSEhxAe5M97L/QzvLl07HRJGm93N5PPlgPx1KkaTZBf+b3RptfrObp9GrXbvEh4tTZ4BcTSqu+X5Gcnk3D8DvVe1daEVmmBW3G9V7+jod5Lvmyo9zz9Y2g/8CfCq7bGzSuUoKiG1Ov4BpdObEKn1ZR63LKYuWoLPVo2pFvz+sX3FH2wt7NhaaltqSha1b3pnqJDc5O2FEDnpnUZ2rMD9avFmD1GeZi3ZAWd27ehU9tWhIcG82bJtXaT2fSVo6OKr7VNSr3POHbqDE0b1L3tWnvy7LlyycPM/WfoWT2C7tUjqOTtynvt6mBvY8WSYwml76RQ4O1kX/LxuqUz/Zdtx2hSyZ/XW9Sgsp8HIe7OtIgKLLcBLEIIU2VqyezatYsdO3Ywbtw4nnjiCXr06FHy6dmz590P8ADUGg0nL1+jQRXjFCNKpZIGlSsRf+HuHcF6vZ49Jy+QcCON2tHmOy/TsnPZfvQsPZqW31NstVrD6fMJ1K1hvBlWKpXUq1GVY2fu7SJeWKRCo9Xi6mx+pLNarWHJus04OzoQFW5+qgpL8HRR4Oqo4NxV4zATlRoSU/SE+d35FOvexIbTl3Wcu3b31zNtrKFujBVp2Tqy8ix3w6fWaDmZmETDmzqzlUoFDWPCiE+4Vup+v63eiYezI70a1bBYLGWl1mo5eT2dBuHGjkalQkGDCH/ir6aWul9BkYZOPy+i40+LeH3eFs6nZN7x7+SoilBg6EAvD2qNhpOXrtGgqvEtFaVSSYOqkcSfv8OrtcX0ej17TpwjISmFOrHhJdt1Oh1j/pjHsx2bERlUvlPemKPWaDh18QoNbmp4KpVK6leLJv7cpTvsaaDX69l77AyXklJ4rHL5T50EoFarOXPuPLVrGs9vpVJJ7Vo1OHH6TJmPu3PvfmKjIhn3xTf07j+YYa/9jxVr1lkiZNRqNefPnaFmrdol25RKJTVr1eb0qRNm9zl96gQ1H6tjsu2xOnVLTZ+Zkc7+fXto2944AsTF1ZWg4BA2bVhHYWEBWq2WNauW4+buTlTUg99sPIzyrdZqWXjoLM52NsT4uT9wzGb/hkbDqYSr1K9mnK7nn3Jw9F7LwfGzXLqeTO1Y89OSAeQWFKBQKHBxLJ/Rpmq1hjPnE0w6s5VKJXVrVOP46Xurv1V3qb8fluz0K+TnpBAS3bhkm52DC36hNUi6dPiejqHTaTl7aAXqonz8w2qVT6DF/injNWoZy6yhjNe5Yxmv8Vhtk22P1anH6VPHzabPzEjnwL7dtG3/uNnf/yM/Lw9nZ8u/Qv8PLzclbs5KTl8ydq4UFkHCdS0RgXd+EdTHQ8mnL7oybogLgx53xMPl4awd9F+M+VaG8n2ROjWrl2xTKpXUqVmd4w9Q91WrHMPB+GMkXjW0K89dvMTRE6dpULvWg4ZcKu/i7+NkgrpkW6FKz8VrGioF3fn78PWw4suX3fnkRTee6+qEh2vp7XlbG2hcw46UTC0Z2RacbkVphdIvGM2lm//d9WguncEqINzsLtaRcWiuJ2Dfug/Owz7GaeBIbOu3BVk/64EY2rGJ1IszvsmoVCqpF1eZo2fvbfBGoaoIjUaLq7P56SLSMrPZcegY3Vo1Nvt7S8kprveCbqn3fENqcOM+6r1zhw31nt8d6r2ighxs7Z1RWpXp5X2zDG0pc/cUMcSfS7jr/oa21BkuXU/hsTu0pcqboS/kgtlr7YnTZ8t83LjKMRwwudYmlNu1Vq3VcfJGBg3CjPeWSoWCBqF+xF9LK3W/giINj/+2gk6/LeeNRTs4n2qcykqn17P9wnXCPFx4af5W2vyylIEzNrDp7FWLxy+EMK9MV+xXXnmF/v378/777+Pnd/8dTiqVCpXKdNiwrkiNne3d53XMyM1Hq9Pj5WL6WraXqxMJSaV3FuQUFNJ+5Leo1VqUSgXvPtOZRlVLmTt012Ec7W1p81j5TbWSmZODVqfD85ZpHzzd3Lh0NemejvHr9Hl4e7ibdLQD7Nh/mA++n0ihqggvDzd+GPs/3F3L70bun8GJubeMMskt0OPsUHqjtEYlJUHeCn5erC41DUDDKlZ0amCNnY2C5Ewdk1aqb3vt80Fk5BUUn1OmjTYvF0cuJqeb3efg+Sss2n2Uue88a7lAHkBGvgqtXn/bE2YvJ3sS0rLN7hPm6crYLg2J8XUnp1DN9D0nGTRtLfOHdsHPzHxnKo2W8ZsO07FaOM525TMHa0ZOvqFcuN5avp1JuJ5S6n45+YV0eOsL1BoNSoWS0QO60fCmjri/Vm3FykrJ023Lt+FdmsycPEO+bnkF0tPNhYTryaXul5tfQKdXPqRIo8FKqWTkoD40rB5b3uECkJWdg06nw8PD3WS7h7sbiVfK3lC7nnSDpavW0KdHV555ohenz57j598nY21tTYc2rR4o5uzsLHQ6He4eplMuuLt7cCUx0ew+mRnpt03R4O7uQUaG+bK/cf1aHBwcaXTTVCsKhYKPPvuazz76gKd6d0WhUODm7sGHH3+Bs8uDX3vLs3xvPXuFUYt3UKjW4O3swMSn2+DhWD4jVf4pB15ut5RvN+c7loOc/AI6vf5JSTkYNbAnDePMP3xQFakZ//dKOjSshbND+eQj65/62830DSJPd1cuXS39werNfp32N94eHg911Lg5+TmG66qDi5fJdgdnb/JzSm9TAaRdP82Cn55Gq1FhY+tIp0E/4+lfvtPw5ZRSxt3cPbiSaP5Bqrky7ubuQUaG+TcNzJXxW12/dpUVyxYzaMiw+8zBvXN1MrSfsvNNGzw5+bqS35mTcF3D9FVabqRrcXNW8ngje9582oVP/spGdefm1gP7L8Z8q6zsbLQ63W2v+nu4u3H5Aeq+fr27k59fwICX30KpVKLT6RjSvy/tWjZ90JBL5eps6NjOzjP9PrLzdLjd4fu4eE3DlBW53EjX4easpEsTe97u58K4SVmoiozpWjxmR69WjtjbKkhK0/LDnByLts8VDk4olFbo803n09fn52Dlaf7+U+nmhTIkGvWpA+Qv+g2luw/2bfqA0oqi3eU/9eH/V5nZuaW2Yy9du7f71p9nLcbbw436ceanDFyxdQ9O9va0qlfrQcO9o5J6z/mWes/l3uq9xb8Y670OA3/Gw898vVeQl8HBDROo0uBJywRerNR7ClcXEq7d5Z7i1XHGe4pnez+0ewpzsrKz0el0eJq91t5bW8qcZ3p3Jy+/gIEvv3nLtbb0Or2sMgvMt889nexJSDe/DkiYpwtjO9Yl2sedXJWaaftOM3jWRuYN7oCfiyPp+Sry1Rr+2nOKl5rG8VrzGuy8mMT/luzk974tqRPiY/F8CCFMlamTPC0tjTfeeKNMHeQAn3/+OePGjTPZ9u6zvRgzqE+ZjncvnOxs+XvMi+Srith76iLfzFtDkLcH9WIjbku7ZMchHq9fA7tyXozpQUxbuIL1O/byy7iRtz1cqB1XhanfjCMzJ5el67bw/rcT+OOL983Oc14WtSKV9Gxm/JtTVhfdIbV5bk7QtZENk1bdfc7yQ+e0nL2qw9URmtWw5pk2Nkxcdvf9ykteYRHvzVjJ2Kc64FHKaIj/gprBPtQM9jH5uffvy5h/6CwvtzB9PV6t1fHOom3o9Xre7Vj/YYd6V072tsz58BUKVCr2nDjPt3NWEuzjSd3KlTiRcJXZ63Yya+yIcl8cy9Ic7e2Y9en/yFcVse/4Gb6fuZggHy/qVq2Y9SAsQa/XExMVyZCB/QCIjqxEwqVElq1a+8Cd5A/D+nWradGqDba2xrcp9Ho9v/06Hnd3dz7/6gds7WxZt2YVn3w4hm9+/BVPT687HLF83Gv5rhfmz5znHyezQMXCw+d4Z9E2pg8qfR7FiuBkb8fsj98gv1DF3hPn+G72MkM5qGL6oFut0TLqlxnogdHP9qqYYO/B9AXL2LB9Nz99/C52tuXzVk5pzhxcxub5Y0t+7vz8xDIfy90ngr5vLkJVmMP5+DVsmDOKHsOnl3tHeXnbsG4VzW8p4zdLS01h3Psjady0Be073r4wcVnVq2LD0+2MbYpfF5qZb/kenLhoHMV9LVVHwvU8Pn7Bldqxtuw6dv/ttTv5L8ZcUTZt3826Ldt5/81XCA8N5tzFBH6eNK1kAU9LqF/Vln4djW+n/DyvbIu1Hr9gfDJxNUXLxWsaPh/uRt3KtuyIN34fe04UcTJBjZuzknb17XmhhzNfTc+usPY5AAoF+vxcCtf9DXo9uuQrFDm7YVu3lXSSV6CpS9aybtcBJrz/eqmD4pZt2UWHJvXuadDc/Th7cBlbFxrrvU6DH6ze6/P6IooKc7hwdA2b5o6i24vTb+soLyrMZfXkYXj4RVKn3Ygy/z1LMtxTvEV+YRH7jp/l+1lLCPL1om6V/3adfatN23exfst2xrz5ChGhIcXX2ql4FS/gWdFqBnpRM9B4X1Aj0Ivef61mwZELvNQ0Dn3xnNgtowLpX9cwICTW150j11KZf+S8dJIL8RCUqZO8V69ebNq0icjIsr32P3r0aN58802Tbbrdi+9pXw9nR6yUCtJyTBviadl5eLuVvvCbUqkk1NdwQaocEsDF6ylMXr39tk7yg2cvkXAjjS+HPnFP8ZSVu4sLVkol6ZmmowDTs7JuG11+q1lLVjFj0Qp+HPu22WlUHOztCA7wIzjAj7iYSJ58eSTLN2xlYC/L3MyduKwjcaGxkWxlZfivs4OCnJtGkzs7KMwuxgkQ5K3ExVHBKz2NN6FWSgXhAQoaVbNizGTjwpwqNajUetKy4XKymrED7agWruTIecsMV/Fwcig+p/JNtqfl5ONtZtHOxNQMrqVn8eofC0u2/bPIQ+03vmHJe88T4n374mHlycPRDiuFgvS8QpPtaXmFeDnd25QDNlZKYv08ScwwvalSa3WMXLSN61l5/P5M23IbRQ7g4eJoKBfZt5bvXLzMLETzD6VSSaifoXzHhgYayveKLdStXIlDZxJIz8nj8be/Kkmv1en47u+VzFy3g5Vfv1M+mbmJu4uTIV9Zpv+26Vk5eN3h4ZVSqSTE39AYig0L4uLVG0xZtv6hdJK7ubqgVCrJyMg02Z6RmYXnLaPL74enhzthIaYL3YaGBLF15+4yH/Mfrq5uKJVKMm8ZIZqZmVHq4pnuHp5kZppJ73F7+uPH4rl6JZG3R71vsj3+yCH2793NzLmLcXQ0XDMio2I4fOgAG9evpc+TTz9Itsq1fDvYWhPq6UIoLtQI8qbbhKUsOnKO5xvHPVDM5vxTDtKybinfWbl436V8hxTPTxobFsTFa8n8tXyjSSe5oYN8OtfTMpg4ali5jSIHcPun/s7KMtmenpmNl7v7HfedtXgFMxcu54dxI4kKDy23GEsTXrUVfd80TqGk1Rjq8oKcNJxcfUu2F+Sm4hV457fprKxtixfuBN/gOFISjxG/fRot+3xUDpEbuJRSxrPus4xnZWbg4XF7Pf1PGf/fqA/MHis9LZX3R71F5SrVeOnVN82mKav4c2oSrhvLp3Vx28rVUUl2nrHX0cVRyZXke++FLFDpSc7Q4uNh+bU4/osx342bqytWSiUZmabl+0HrvglTZtCvd3faNDe80RYZHsqNlFRmzl9isY6bI+eKuDjZ+MDB2towMMDVyfT7cHVSknif38eNDB0+HlYm2wtVegpVepIzdFy4msv3r3vwWIwt+05a5sGGviAPvU6LwtG0flA4uqDLM/8WlT4vG71Wy82rh+rSb6B0dgOlFegqsgf/v8vd1bn0duxd7ltnLF/P1KVr+fndV4gOCzKb5tCpc1y6doNPX33OYjH/I6xqK/qEmqn3cm+p93Lur97zKa73jm6fRvPexnqvqDCXlZOGYGPnRPuBP2NlZdn7plLvKbJz8HK/W1vqpnuKazeYsmxDhXWSu7m6olQqSbfwtXbilJk807s7bZo3AaBSeChJKSnMnL/Y4p3k7g7m2+fpeYW3zTNeGhsrJZV9PUjMzC05prVSQSUv03IV4enK4TtMsSiEsJwytT5jYmIYPXo0gwYN4ttvv2X8+PEmn7uxs7PD1dXV5HOvT41trK2pEhrI3pPGhSZ0Oh17T12gRqXgO+xpSqfXU6S5fRGNRTsOUjU0gNgQyywiVxobG2tiI8M5cNOimzqdjv3xJ4mLKb2ymrF4JX/NX8Z3779FlajbR8Gbo9PrKVJbbsGQIjWkZetLPskZhkWWooKMp5OdDYT4KLh0w3xH9rlrOr6fr2L8wqKST2KKjsPndIxfWMQdFxZWgLXSciOCbaytqBLiz56bFnrU6fTsOXOJGuGBt6WP8PNi/shB/P32syWflnFR1IsK5e+3n8X/Lo3F8mBjZUWVAE/2JBhfedTp9exNSKJG0L0tfqPV6TiXnIn3TYv7/dNBfjk9h4lPt8Hd0fyK75ZiY21NlbBA9pw0zuur0+nYe/I8NSLvvUNJf1P57tz4MeaOe4U5H44o+fi4uzKwYzN+fXOwxfNgjo21NZUjgtl73Divpk6nY9/xs9SIuveFXS1dlu/ExsaGmKhIDsUbF7bS6XQcOhJP1diyz7MdV6VyyTyB/7hy9Tp+vg8+MsLGxobIqBjijxgXcdbpdMQfPkRs5apm94mtXJX4wwdNth0+dMBs+vVrVxEZFUNEJdMHxCqVoXGsUJhWqQqFAr3+wR/mlVf5Nkev16PWWPB9+ZvYWFtTOTyIfSdMy/e+E+eofh/lwBCjsRz800GeeCOVCe+8gHs5z/NtY2NNTGQ4B+JN6+8DR49TLbb0+nvmouVMnbeEbz54m8pRFTMPqK29M27eYSUfD78oHF18uHLWuPBaUWEuNy7H3/f84nqdrqTzobwYy7ixzBrK+MH7LOP7ia18+1Q3pZVxMIwgHzPyTSKjo3nljXdQKi3bgatSQ0qmruRzPU1HVq6O2DDjeBZ7WwgPsOLitXuvB+xsDHNTZ+davlz/F2O+G0P5juBAvHHhdp1Ox8H4Y1R7gLpPVVSE4pa2q1KpRGeBOsL4N275PlK1ZOXqqBxuvMeyt4WIQGsuXL2/78PHXUnWHb4PhcLwsbbc1Mug06K7cQXr0OibNiqwDo1Bez3B7C7aqxdRuvsAxn9rpYcPutws6SB/AIZ2bIjJops6nY79x09TPbr0+mza0nVMWriKH0e9TNXI0uv5pZt2UjkilJiwe7+Xv1el1XtXb6n3khPj7zi/uDl6vWm9V1SYy4o/n0dpZUOHQb9ibWP5+yZDWyqYvSeM83Yb7ynC7/k4D/OewhxDX0glDt5yn3Eg/hhVY6PvsOedqYpUKG+51loplSUjtC3JxkpJFT8P9l42TnOj0+vZezmZGoH39hapVqfnXGoW3sWd6jZWSqr6e5Jwy6CWyxk5BJiZDlVYll4nn/v9/H9UpqbMn3/+ibOzM1u2bGHLli0mv1MoFLz66qsWCa40A9o24v0pi6gaHkhceBAzN+ymoEhN98aGhTbH/LUQX3dXXu3ZFoBJq7ZRNSyQEB8PijRath87y4rd8bzbr7PJcXMLCll34ARv9WlfrvH/46mu7fnkpz+pHBlO1ehK/L18LYUqFV1aG+Yn/Gj8H/h4ujO8v2FU+/RFK/hzzmI+fH0YAT7epGUYnrw62Nvh6GBPQaGKqQuW0bTeY3i5u5GVk8uC1RtITc+gdaN65ZqXHcc0tH7MmtQsPek5etrXtSY7X8+JS8aSM+RxG44n6Nh1QkuRGm5kmFZWajXkF+pLtnu6KKhRScnZqzpyC/S4OSloWcsatQZOJVq2oTugZV3en7mSaqH+xIUGMGPLfgqK1PRoYBhN+d6MFfi6ufBa1+bY2VgTHWjaoefiYGgE3bw9K6+A6xnZpGTlAZCQbBjJ5u3qhLdr6W89lFX/+pX5YNkuqgZ4ERfoxay9pyhQa+lew9B4HbN0J74uDrzaylBOftt2lBpB3oR4OJOjUjN19wmuZ+fRs6ahk0et1fH2wm2cSkrnxydbotPrSc0tAMDNwRYbKyvzgTxoPjo05YM/51M1PJi4iGBmrdtBgaqI7k0NC6+N+WMevh6uvNqnAwCTVmymWngQwT5eFGk0bI8/zYpdhxg9oDsA7s6OuN8yLY61lRJvNxfCAx7eK2v9OrXkw99mUTUihGqRYcxavYUCVRFdWzQA4IOJM/H1cGNEX8MbH38tXU+ViBCC/bxQq7XsOHKClTv2M3pQ+b7lcrM+Pbry5fc/ERMVSeWYaBYsWU5hoYoObVsD8MV34/H28mTIs/0Bw6J6lxINCyhrNBpS09I4d+EiDvb2BAUGANC7e1defeddZs5dQMumjTl15hwr1qzjjREvWiTm7j378ON3XxIVHUN0TGWWLVlAoaqQtu0M58v333yBl5c3AwcPAaBr9168N/INFi+cS916Ddm2ZRPnz57h5VdMR4nm5+exY9tWBg+5Pc7Klavh5OzMj99+Sd9nBmBra8vaNStJvpFE3XoNLZIvS5fvgiINf+48RovoYLyd7cnMVzH3wBmSc/JpV6X8Rjj379icsX/8TZWIYOIqhTBrzTYKVEV0a2aooz74bTY+Hm688qRh0cTJyzZSNSKYYF8v1BoN24+cYsXOA4weaJhORa3RMvLnaZy6dJUf3ngOrU5HavEbWm7OjthYtMfG6Klunfh0/O9UjoygSnQl5i5fQ0Ghis5tmgPw8Y8T8fH04MUBfQGYsXA5k2YvYOybLxHg601a8RsaDvb2OBaPes/OyeVGahqp6Ya64vLV6wB4urvh9QCjqu5EoVBQo9lADmyYiJtPOK6eQexdPR4nV18i4tqWpFsycRCV4tpSvamhrO9a+S1hsc1x9ghArcrjzKHlXL2wl65D/yzZJz87hfycVLLSDHOFp10/g62dE84eAdg7lj0/3Xs+wY/ffUFUdKxJGW/TriMAP3zzOV5e3gwYPBQwV8Y3cv7sGV565S2T4+bn57Fz2xazZTwtNYUxo97Ex9ePQc+/SPZNbxGUNoLdEjYdVNGxoR3JGVrSsnR0aeJAVq6OI+eM02G8+oQTR86p2XLI0FHTs4U9R8+rSc/W4+asoHNje3R62H/q4UzuXV4xuzoqcHVS4uNueDgR6K1EVQTpOTryCy3b+fFk9858/uMEKkdVonJ0FPOXraSgUEWntoZRiJ9+/ws+Xp68MNDwlpBarSGhuO5Tq7WkpqVz9kICDg72BAcYBt00rlebGfMW4+fjTXhIMGcvJDB3yQoeb9vSorHfasO+Qh5vbE9yupbULB3dmzmQmavj8Bljx94bT7lw6EwRmw8a1ovq3cqB+HNq0rMNc5J3beqATg/7Thj28XZTUreKLScuqskp0OPhoqRjQ3uKNHqOnbfseaY6sBmHjs+gvZGINukytrVboLCxRX18DwD2Hfuhz81CtX05AEVHdmBbqxn2rXpSdGgbSg8fbOu3o+jQVuNBbWyLO9INlG6eKH2C0Bfmoc/JtGj898vKyRGnKGMd7BgRjGvNyhSlZ1GYeL0CI4NnOrdh3IRpVKkUSrWocOas2kiBSkWXFoZ2zthfp+Lr4c7LTxva31OXruX3eSv4eMQgAnw8SS0eMexob4ejvXGUbW5+ARv2HOK1fg9nmjSFQkH1pgM5uHEibt7huHgGsX/teBxdfQmvZqz3lv0+iIhqbYlrYqj39qz6lpDY5ri4B1CkyuPc4eVcu7CXzs8b6r1/Osg1RQW0fvpr1Kpc1CrD6GB7J0+USsvdN/Xr1IIPf59tuKeoFMqsNcX3FM0NU2J+MHEWvh6uZu4pvFGrNew4crL4nsI41W1Wbh5JaZmkFPcvXCpeK8bLzQXvchoA9kT3znz+46/ERkVSJTqS+ctWUlioolPxdfGz73/G28uTFwY+A5heazVqDalpGbddaxvVq8P0eYvwLb7Wniu51pbPlI796sYwdtVeqvp5UC3Ak1kHzlKg1tAtLhyA91fuxdfZgVeaGxYo/X3nCaoHehLibmifT9t32tA+r2582DSwXiyjlu2idrAPdUN82Xkxia3nr/N735blkgchhKky3T1evHjx7onKUYd6cWTk5jFh6SZSs3OJDfbn11f741Xc8Xg9Pctk7uECVRGfzV5BckY2djbWhPt78+lzvehQz/R18tX7joFeT8f61XkY2jZpQGZWDn/MWUx6ZhbREaF8N+bNkgUsbqSmobwpH4vWbEKt0fDeN7+YHOe5J7szpG8PlEoll65eZ+XmHWRl5+Lm4kzlqHB+/WQ0lULNv95mKVuOaLG1VtCrmQ32tpBwQ8dfq9Um8xJ6uSpxsr/3Gxm1Vk+4v5ImcdY42EFuAVxM0jFhaRG3vNX0wDrWrkxGbj6/rtxBanYescG+/PpiH7xcDSMSkzJyTL6Le7H52Hk+mLWq5OeRU5cB8GLHxgzv1MRywRfrUDWcjHwVE7YeIS2vkFg/D37p2wqv4pGjSdl5JnnIKSzio5W7ScsrxNXelir+nkwZ2J5IH8P5l5KTz5azhobIU5NWmvytP/q1pW5Y2dYkuGs+6tcgIyePCYvXk5aVQ2xIAL+8MbhkupWk9EyTEQKFqiI+m76U5Iws7GxtCPf34ZOhT9Khfo3S/kSFaN/wMTKyc5m4YDVpWdnEhAXx0zvDjPlKzTD5fgpURXw5ZT7J6cX5CvTl4+H9ad/wsYcWc6tmTcjKymLKzDlkZGQSWSmCL8aNKXkNMjkl1eRam5aewbDX/lfy89xFS5m7aCk146rx3eeGV1Erx0Qx7t13mDRtJtPnzCPAz5eXhg6mbcvmFom5WYtWZGdnMWv6FDIyMoioFMnYj77AvXj6lNSUZJPzp0rVarz1znvMmDaZ6VMmExgUxOj3PyIs3PRNnW1bNqFHT/OWtzeyXd3cGPvRF8yYNpn3R7+FRqMlNCyMd9//yOyI1LKwdPlWKhUkpGazLH4rmQUq3BzsqBbgxeQB7Yn0cbdIzOa0b1CLjOw8Ji5cQ1pWDjGhgfz0vyEm5VtxS/n+YtoiktMzDeUgwJdPhj1N+wa1AEjJyGLLIcOI7qff/97kb/026sXb5i23lDZNG5KZncOfcxaQnpFFVEQo337wtrH+TjGtvxev3oBao2HMV6Zv2w3u25PnnzJ0DGzfd5DPfvqj5Hdjv/3ltjTl4bFWQ9AUFbB5/gcUFWQTEFGHLkP/MBkBl512mYI845QlBbnpbJgzkrzsFOzsXfAKjKXr0D8JiTHWbcd2zWH/OmN7ZfGvho6G1n0/o3K9suenaYtWZGVnMnv6XzeV8S9LynhKSjKKm0Z5V64ax5vvvMfMaZOZMWUSgUFBjLpDGW/WsvVtf/PwoQNcv3aV69eu8vzAvia/W7xyY5nzcjfr9qqwtVHwTHtHHOwUnL+q4ZcFeSZtK293K5wcjBvcXZQM7uKEk72C3AI9569q+GZm7m2Lq//XYm5ay47OjY0da28+bbhmTF+Vz+7jln2DoXWzxmRmZzN51jzSMzKJigjj67Gj8CyeTik5NdWkHklNT2fIG6NKfp6zeDlzFi+nVlwVfvzUMBfya0MHM2nWXL6fOJmMrCy8PT3o1qEtz/btbdHYb7VmTyG2tgr6d3TC0V7BuSsaxv+dY/p9eChxdjSWGQ8XJUO6OePkoCA3X8+5K2q+mJZX8n2otXqiQqxpU88eR3sF2Xk6ziZq+Gp6Njn5lj3PNGcOUejohF3jTigcXdGlXCV/4W/o8w2dj0oXj5IpDwH0uZnkL5yIXcseOA18B31uFkWHtlC0b0NJGiu/UJyeNM4Tbd+yJwBFx/dSuGaWReO/X2514mi0YXrJz1W/eReAxGkLiX9+dEWFBUC7RnXIyM7h9/nLScvMISYsiB9HvVwy3cqNW9qxC9dtQ63RMOqHP02OM6T347zQxzhQbd2uA+j1ejo0qftwMgLUbDkEdVEBWxd8QFFhNv7hdXj8+dvrvcJb6r1Nf48kPzsFW3sXvAJi6fz8nwQX13upV4+TfPkIAHO+NB1w98yo9bj8H3t3Hd5E1oUB/E3q7u6uWHF3d1nc3XV3gW9xdpFlYXF3d3enUFwLBQoUt7p7m3x/pKQNTUtpky3y/p4nz27SO5NzmGTmzsmdO8aKGyXfoFIZRMfnOKewt8Gi3/pn96Ui5ZxTbNiToy9lgekDu8icU/jfDsLUVdulz/+3RPI57Ne6AQa0aaSw2HP6tK9dt3Vn1r7WEX9PHi/d14ZGRMoczyOiotBv1Fjp8x37D2HH/kMo5ev92b52B+YvX5O1rzVG84b10KODcu5919DTTtI/DwhCZFIKPMwMsbhddel0Kx/jkpBzYHtcahqmn7iFyKQU6GuowcvCCOs61YGzafYPEXXcbPC/+mWx7tpjzDl7Bw5GepjTsjLK2Bbs6lEiKhqBuIDXnnw+h3ieKxQIMHfu3K8OJPn8tq9e5luTZFrwy8W/ZXOu+BV3CAoxxW5zcYdQZKLQwt/d+5vimvuy9u9NpnrB5n7+1sUa/PfzICtDgophcYdQZPaX1hZ3CAoh8ihd3CEUWbK+cqdY+69sDVHuVWP/lQbe3/+xb/E+5U77QwU3sVnxDu5RlMn7f5DzDHXl3bfgv3Jx7LEvN/oOVLu25MuNvnFr3tQt7hAUop/V0S83+g4k6Ct3YN5/Qf/i7uIOQSF0+v1Z3CF8d6ZtKb4piL5Xk7oo56rd4lTgjO7cuSPz/Pbt28jIyICHhwcA4MmTJ1BRUUHZsmUVGyERERERERERERERkZIUuEh+7tw56f/PmzcPenp62LBhA4yMjAAA0dHR6NWrF6pXr674KImIiIiIiIiIiIiIlKBQY+Pnzp2LkydPSgvkAGBkZIQ///wTDRo0wJgxY/JZmoiIiIiIiIiIiKj4FXAmavrBCb/cJLe4uDiEh4fnej08PBzx8fFFDoqIiIiIiIiIiIiI6L9QqCJ569at0atXL+zduxdv377F27dvsWfPHvTp0wdt2rRRdIxEREREREREREREREpRqOlWli9fjl9//RWdO3dGenq6ZEWqqujTpw/mzJmj0ACJiIiIiIiIiIiIiJSlUEVybW1tLF26FHPmzEFISAgAwMXFBTo6OgoNjoiIiIiIiIiIiIhImQpVJP9ER0cHJUuWVFQsRERERERERERERET/qULNSU5ERERERERERET0vROJ+Pjah7JERUWhS5cu0NfXh6GhIfr06YOEhIQCLSsWi9G4cWMIBALs37//q9+bRXIiIiIiIiIiIiIiKlZdunRBUFAQTp06hcOHD8Pf3x/9+/cv0LLz58+HQCAo9HsXaboVIiIiIiIiIiIiIqKiePToEY4fP44bN26gXLlyAIBFixahSZMm+Oeff2BtbZ3nsnfv3sXcuXNx8+ZNWFlZFer9OZKciIiIiIiIiIiIiAokNTUVcXFxMo/U1NQirfPKlSswNDSUFsgBoF69ehAKhbh27VqeyyUlJaFz585YsmQJLC0tC/3+LJITERERERERERERUYHMnDkTBgYGMo+ZM2cWaZ0fP36Eubm5zGuqqqowNjbGx48f81xu1KhRqFKlClq2bFmk9+d0K0RERERERERERERUIOPHj8fo0aNlXtPQ0JDbdty4cZg9e3a+63v06FGh4jh48CDOnj2LO3fuFGr5nFgkJyIiIiIiIiIiop+SWCwu7hC+OxoaGnkWxT83ZswY9OzZM982zs7OsLS0RFhYmMzrGRkZiIqKynMalbNnzyIkJASGhoYyr7dt2xbVq1fH+fPnCxQjwCI5ERERERERERERESmBmZkZzMzMvtiucuXKiImJwa1bt1C2bFkAkiK4SCRCxYoV5S4zbtw49O3bV+a1EiVK4N9//0Xz5s2/Kk4WyYmIiIiIiIiIiIio2Hh5eaFRo0bo168fli9fjvT0dAwdOhQdO3aEtbU1AODdu3eoW7cuNm7ciAoVKsDS0lLuKHN7e3s4OTl91fvzxp1EREREREREREREVKy2bNkCT09P1K1bF02aNEG1atWwcuVK6d/T09MRHByMpKQkhb83R5ITERERERERERERUbEyNjbG1q1b8/y7o6PjF+eQL+wc8xxJTkREREREREREREQ/LY4kJyIiIiIiIiIiop+SqHADj+kHw5HkRERERERERERERPTTYpGciIiIiIiIiIiIiH5aLJITERERERERERER0U+LRXIiIiIiIiIiIiIi+ml9MzfuTDaxK+4QiixC6/vPAQDKllAv7hAUIlXdsbhDKDKBuUNxh6AQyVrGxR1CkQlFGcUdgkKoitKLOwSF0EVMcYdQZMll6xV3CJRFJFAp7hAUwkBPUNwhKERSplZxh1Bk3j6GxR2CQqSnf/93sXon/DH6Uo7OBsUdgkKo2NUq7hCKrNq1ZsUdgkJcqjikuEMoMqeAh8UdgkLEG/wYdYQoFfPiDqHINCo1Ku4QFEKnuAMg+k59M0VyIiIiIiIiIiIiov+SWPT9DwygouN0K0RERERERERERET002KRnIiIiIiIiIiIiIh+WiySExEREREREREREdFPi0VyIiIiIiIiIiIiIvppsUhORERERERERERERD8t1eIOgIiIiIiIiIiIiKg4iMXFHQF9CziSnIiIiIiIiIiIiIh+WiySExEREREREREREdFPi0VyIiIiIiIiIiIiIvppsUhORERERERERERERD8tFsmJiIiIiIiIiIiI6KfFIjkRERERERERERER/bRUizsAIiIiIiIiIiIiouIgEomLOwT6BnAkORERERERERERERH9tFgkJyIiIiIiIiIiIqKfFovkRERERERERERERPTTYpGciIiIiIiIiIiIiH5aLJITERERERERERER0U9LtbgDICIiIiIiIiIiIioOYrG4uEOgbwBHkhMRERERERERERHRT6vAI8nLlCkDgUBQoLa3b98udEBERERERERERERERP+VAhfJW7VqJf3/lJQULF26FN7e3qhcuTIA4OrVqwgKCsLgwYMVHiQRERERERERERERkTIUuEg+efJk6f/37dsXw4cPx/Tp03O1efPmjeKiIyIiIiIiIiIiIiJSokLduHPXrl24efNmrte7du2KcuXKYe3atUUO7Et2HzuLLQePIyomFq4OdhjdpzN83Jzltj1w6gKOXbiC52/eAQA8nB0wsHMbmfardxzAqYDrCIuMgpqqqqRNpzbwcZe/zsI4cugA9u3ZiejoKDg5uaD/oKFw9/DMs/2lixewZdN6hIV+hLW1DXr07ody5StK/56cnIwN61bj2pUAxMfHwcLCEs1atEbjps1l1vP40UNs2rAWT4IfQygUwsnZBVP/nAUNDQ2F5SYWi3Fm3yLcPL8LKUnxsHcrgxY9JsPU0jHPZV48voFLx9bi/csgxMeEo/PwRfAuW0+mzYQeXnKXbdjhV1Rv0kdh8QPArpMXsPnQaUTGxsHN3ga/9mwPH1dHuW33nwnAkYvX8PztewCAp5M9BndoIdO+Qqchcpcd1rkVujWvr9DYP9l58gI2HzojzeG3nr/kmcO+MwE4evE6QnLkMKRDc5n2SSmpWLztAC7cDERsfCKszU3QoWFNtK1fXSnxf7L36Els33cYUTGxcHG0x4h+PeDt7iq37YvXb7Fm6y48CXmBj+ERGNq7G9q3aCzTJik5Gau37MLFazcRHRsLNydHDO/bHV5uLkrNY8+x09i2/2hWHnYY1bcbvPN4z4OnzuH4+QA8f/0WAODh4ogBXX6Rts/IyMDKrXtw9fY9vA8Ng462NsqV9MGgbu1hamyktBz2HTmB7fsPISo6a1v07wWvPLfFG6zdugtPQp7jY1gEhvbpjl9aNJFpk5SUjDVbd+Li1RvSbTGsX0+lb4v9R45h594DiIqOgYuTI4YN6ANPdze5bV++eo31W7bjSchzhIaFY3DfXmjbslmuduGRkVi1fjOu37qN1NQ02FhZ4rcRQ+DhJv/fp6j2HDuDLQeOSY57jvYY3acLvPM57h2/EIDnrz8d9xwxsEtbmfard+zH6UvXchz3HDGgcxv4uCv7e/Fj5PGj7KfEYjEuHlqIuxd3ITU5DrYufmjYeQqMLRzzXObysRUIvnMSUR+fQ1VdEzbOZVC7za8wscy9HcViMXYu6ofnQRfRdtASuJeuJ2eNeTt5ZDcO792C2Ogo2Du5oseA0XB198mz/dVLZ7Br80pEhH2EpbUtOvYcgjLlqsjEs3vLKpw7eRCJifFw9yqJ3oN/h5W1ncx67twIwN7ta/H65TOoqWnAy7cMxkyYnev94uNiMX54N0RFhmPVtpPQ0dX7qvxyEovFuHZsIR5clWwLayc/1P5lCgzNHPNc5sapFQgJPInosOdQVdOElWMZVG3+K4wssrdFTMRrXDowG++f30JmRhocvKqjVtuJ0NYzLXSs+eVw4+QiPLomycHS0Q812kzON4cHl7ch6Mo2xEdLvufGFq4oW38IHDxrSNs8vLoDT+8cRvi7h0hPTUTvadehoaWvkJgV/Rm7fvk8zhzbhxchj5EQH4cZCzbA0dldZh1nju/H5Qsn8TIkGMnJSUX+7OSnuo8ApZ0F0FAD3kYCJ26JEJ2Qd/syLgL4uQhgoCN5HhELXHoowvOPsu1sTIAavkJYmwBiMRAaA+zwFyEjU7Hx7zh9GRuP+SMyNh7u9lb4vWtL+DrbyW175uYDrD18Fm9CI5GRmQl7C1N0bVQDzar6AQDSMzKxdO8JBAQG421YJHS1NVHR2w3Df2kMMyPFfJ7k+RHOMb6GcbVycB7TBwZ+vtC0NsfNtoMRevBMcYclJRaLcWrvYtw4twvJSfFwdC+DVj0n5Xve+vzxTfgfWYt3Weet3UYshE+53MezsHchOLZjHp4/vgFRZiYsbFzQdfh8GJpaKzSHfUeOY8e+g1n9WgcM798bXnn0a1+8foN1W3ZI+7VD+vREu5ZNZdp07DsYoWHhuZZt2aQhRg7sq7C4jx3ehwN7tiMmOgqOTi7oM3AE3Dzkn+8DwOWL57Bt81qEh36ElbUNuvYaiLLlK8ltu2LxXJw8dhC9+g1Fs1a/AAAeBN7B5PEj5baf/e9yuLrn/d4Fpei6lEyMKzZi/6kLGNGzIzo2K/7vNtHPoFA37tTS0kJAQECu1wMCAqCpqVnkoL7kdMB1LNywA31+aYH1f0+Gm6MdRv35L6Ji4+S2vx0UjPrVKmDxlN+wcsb/YGFqjJHT5yEsMlraxs7aAmP6dsHmedOw/M9xsDI3xYg/5yE6Nl4hMV+8cA5rVi1Hx87d8O+i5XB0dsbkieMQExMtt/2jh0H4Z/ZfqN+gEeYvWo6KlatixvTJePXyhbTNmlXLcPvWDYz+bRyWrFiL5q3aYMWyRbh29bK0zeNHDzFl4jiU8SuLufMXY+6CJWjWvCWEwoLNL1/g/I6uxtVTm9Gy5xQMnLQD6hra2PBPP6Snpea5THpqMiztPNC828Q824xd4C/zaN3nLwgEAviUa6DQ+E9duYX5m/aib9sm2DhjHNwcbDF81mJE5bH9bz16goZVymHZhBFYM/VXWJgYYdjMxQiLipG2Obpshsxj4oCuEAgEqFOhjEJj/+TklVuYv2kf+rZtjE0zxsLNwQbDZi3JJ4enaFClLJZNGIG1U8fAwsQQQ2cukcnh3017cOXeQ0wb0h07505Ax8a1MGf9Lly4GaiUHADgzKUrWLJ2M3p2bIPV8/6Cq6M9fp06C9ExsXLbp6SmwtrSHAO6d4SxkaHcNrMXr8LNe/fxx8hBWL9gNsqXLoHRk2cgPDJKiXlcxeJ1W9GrfSus+WeapBg4bQ6iY+Tvp+48eIx61Sph0bTxWDFzEixMTDB66hxpjCmpaXjy/CV6/NISa/+Zjr9+H47X7z9g7Mx/lZbD2YuXsWTtJvTo0A6r5s2Ei5MDfp0yM59tkQZrC3P079Y5z23x9+IVuHn3Pv4YNQTrFs5B+TIlMWbSn0rdFucuBmD56vXo3qk9ls+fAxcnB4ydND3fPKwsLdC3R9c884hPSMCI3/+AqooKZk2ZgLVL5mNg7x7Q09VVSg6nA65h4frt6N2+JdbNmQJXBzuMmj43z+PenaCsz9PUsVgxYwLMTY0xcto/CM9x3LO3tsCYvl2xad50LPvzf7AyN8HI6XMRncc6mUe2H2U/BQBXT6zCzbOb0KjLFPQYtxNqGlrYsbAPMtLzPn6/fnIdZWt1QfdxO9FxxDqIMjOwfUEfpKUm5Wp748wGoID3tPnclYunsXn1QrTp1Ad/zV8Peyc3zJo0CrEx8v9NnjwKxOI5k1GrQXPMWLABZSvVwLy/xuLNqxBpm0N7NuPE4V3oPfh3TP9nDTQ1tTBr0kik5eivXA84h6XzpqJmvaaYtXATpvy9AlVryj85XblwBuwcFfPD2K0zq3DXfxNq/zIFHUbthKq6FvYvz39bvAu5jpLVuqD9yJ1oNWgdRKIM7F/eB+lZ2yI9NQn7l/WGQCBAmyEb8MuIbRBlpOPQqoEQi0QKiTunu+dX4/6lTajRZgraDtsJNXUtHF7dN98cdA0tUKnJGLQbsQftRuyGjWslHF8/BFEfn0rbpKenwM6jOvzqDFBovMr4jKWmJMPDuyQ69ZBfyASAtNQUlPKrhJa/9FBoPp+r5ClAOTcBjt8SYcMZEdIzgA41hFDJ5wwwPkmM84EirDslwvpTIrwME6NdVSFMc9SQbUyA9tWFeBEqxobTIqw/LcKtp2KIxYqN/8S1e5i3/TD6t6qLrVOHw83OCkP+WYOoOPlVfgMdLfRpXgfrJw7Gjj9HoUX1cpi6Zhcu3w8GAKSkpeHxq3fo26IOtk4dgX+GdsOrj+EYuWC9YgPP4Uc4x/haKjraiAsMxoPhU4s7FLkuHFmDyyc3o1WvyRgyZTvUNLSw9u/+XzhvTYKVvQda9sj7vDUy9DWW/9kVZlZO6P+/9Rg5Yx/qtBoIVTXFDUwDgLMXA7BszQb06PgLVv47Gy6ODvh98l959kFSs/og/bt3ybMPsnzuTOzZsFL6+GeaJM9aVSsrLO4A/7NYv2oJ2nfugTkLV8HByQXTJ/6K2DzqIY8fPsC/f09H3QZN8M/CVahQuTr+/vMPvH75PFfba5f98eTxQxibyP746+Hli9Wb9so86jVsCnMLK7i45T1YsaCUUZf65Py12wh6+hymxoZFjpMKRizi42sfP6JCFclHjhyJQYMGYfjw4di8eTM2b96MYcOGYciQIRg1apSiY8xl26GTaFGvBprVqQYnO2v83r8bNDTUcfjsJbntp47sj7aN6sDdyR6ONlYYP7AnRGIxbt5/JG3TsHolVCjpDRsLMzjb2WBEjw5ITErGs1eKmT7mwL49aNCoCeo1aAR7ewcMHjoSGhoaOH3yuNz2hw7shV/Z8mjTrgPs7B3QtXsvOLu44sihA9I2jx89RJ26DVCiZGlYWFiiUeNmcHJ2wdPgx9I2q1cuRbMWrdGufSfYOzjC1tYO1WrUgpqaukLyAiS/xl8+sRG1mg+El19dWNp7oF3/WYiPCcOj26fzXM69VA3UbzcS3uXy/lVUz9BM5vH4zlk4eVWEsbn8ESSFtfXIGbSqUwXNa1WGs60VxvXpCE11dRw6f0Vu++lDe6Fdgxpwd7SDo40l/ujfRTJ66kGwtI2poYHM48KtQJT1doONheJHbklyOItWdaqgRVYO47NyOJhHDn8O7YlfGtSAh6MtHG0sMUFODoFPXqBpjYoo6+0OazMTtKlbDW4ONngY8kopOQDAzgNH0axBbTSpWwuOdrYYM6gPNDU0cOTMBbntvdxcMLhnF9StXgXqqrkvjklNTYP/lesY1KMzSvt4wdbKEr07tYONpQX2H8/781lU2w8dR/P6tdC0bg042dngtwE9oamhgcNn5ecxedQgtGlcD25ODnCwtcbYwX0gEotwM/AhAEBXRxvzp4xF3aoVYW9jBV8PV4zu2x3BIS/xMTxCKTnsPHAEzRrUQZN6teBob4sxg/pCU0MdR0+fl9vey80Fg3p1Rd0aVaCulve2GNizM0plbYtenX6BjZUlDhw7pZQcAGD3/kNo0rAeGtWrA0d7O4wcPAAaGho4fkr+qCZPd1cM6N0DdWpUg5qamtw223fvg5mpKX4fORSe7m6wsrRAOb/SsLayVEoO26XHvepwsrPB7wO6S457Zy7KbT9l5IDs456tFcYP6pV13HsobdOgemWUL+UDG0tzONvbYHjPTkhMSkbIq7dKyeFHyuNH2U+JxWLcOLMRVZsMgnvpejC39USzXn8jPiYMT+7m/b4dR6xBySptYGbtBgs7TzTrOQtxUe/x8VWQTLvQN49w/dRaNO0+o1DxHd2/DbUbtkCtes1ga++EPoN/h4aGBi6cOiy3/fGDO1HKryKat+kKGztHtO86AE4uHjh5eLc03+MHd6BV+54oV6kG7J1cMWjUJMREReDmVX8AQGZmBjau+hedew1FvcZtYGVjD1t7J1SqnnvE4Kmje5GUGI9mrTsXKr+cxGIx7vpvRIUGg+BSoh5MrT3RoMvfSIwNw/P7eW+LVgPXwLtiG5hYucHMxhP1Os9CfPR7hL2VbIv3L24jPuod6nWeBVNrD5hae6B+l9kIffMAb55eLXLcn+cQeHEjytYdCCffujCx9kCdjrORFBeGF0F55+DoXQcOXjVhaOYIQzMnVGw8Cmrq2gh9fU/aplT1HvCr0x8WDqUUGrOiP2MAUL1OY7Tp1Ae+pcvn+b6NW3ZEi1+6w9XTV6H5fK68mwABj8R4+h4IjwUOXxdBTwtwt8n7h6tnH4CQj0B0AhCVAPg/ECMtA7A2yV6mbmkhbj0T4+pjMSLigKh44PFbMTIVfMK85cRFtK5ZAS2rl4ezjQX+6NEamupqOOB/Q277cl4uqFPWF87WFrAzN0HnBtXgZmeJu09eAgD0tLWw7Ld+aFChFBytzFDS1QFju7bEo5fv8EFOkUoRfoRzjK8VfsIfTybPR+gB5R2/CkssFiPg+EbUaTEAPmXrwsreAx0GzEJcTBge3sp7tLtHqRpo+MsI+MoZPf7JiV0L4FGqBpp0+hU2jt4wsbCHt18d6BqYKDSHXQcOo2mDumhcrzYc7e0wenB/aGqo49jps3Lbe7q5YmCv7qhTo2qe/VpDAwMYGxlJH1du3IK1pQVK+XorLO5D+3aiXqNmqFO/CezsHTFg6BhoaGrizMmjctsfObgbZcpWQKu2nWBr74hO3frAycUdxw7vk2kXGRGO1csXYsRvE6CiItvHUlNTg5GxifShp2+A61cDUKd+YwgK+QN+TsqoSwFAWGQ05q3Ziikj+kFVRaXIcRJRwRWqSD5u3Dhs2LABt27dwvDhwzF8+HDcvn0b69atw7hx4xQdo4z09AwEP3+F8iWzL40RCoUoX8IbD4JD8lkyW0paKjIyM6Gvq5Pne+w/dQG62lpwcyx6MTY9PR3Pnj1B6dJ+MjGXKu2Hx48fyl3m8eOHKFXGT+Y1v7LlZdp7ennj+rXLiIyIkJyY3LuL9+/eorRfOQBATEw0ngQ/hqGhIX4fMxzdOrfD+N9H42HQ/SLnlFN0+FskxEbAxSf7l2ZNbT3YOpfEm2f38lny6yTERiD43gWUrdFWYesEgPSMDDx+8QblfbN/TRYKhSjv64n7T3P/Ui1PSmoaMjIyoa+rLffvkTFxCLjzAC1qV5H796L6lEMFXw/pa0KhEBV8PXD/6Yt8lswmL4eS7k7wv3UfYVExEIvFuBn0BK8/hKFiyaJfmiZPenoGnoS8QLmS2SeNQqEQZUv5Iij4aT5L5i1TlIlMkQjqn3UKNTTUcf9hcB5LFY0kj5coVzL7cm2hUIhyJb0RFPysQOtI/bSf0pO/nwKAhKQkCAQC6Onk3aawPm2LsqVKSF+TbIsSCAp+Uqh1ZmbmsS3U1XH/0eM8liqa9PR0PHkWAr9SJaWvCYVC+JUuiYeFzAMALl+/CQ9XF0yd9Q/adu2FASN+xZETyin0p6dnIFjO56l8SW88eFKwz1NBjnsHTp2HrrYWXBVw3MvrPX6UPH6E/RQAxES8RWJcOBy9so9Nmlp6sHYqhXfP7xR4PSnJkhGRWjoG0tfS05JxYM0YNOg0CboGZl8dW0Z6Ol48C4ZvqexCo1AohG/p8nga/EDuMk8fP8hVmCxZpiKePpa0Dwt9j5joSJk22jq6cHH3lrZ5ERKMqMhwCIRCjB/RHYO7N8PsyaNkRgoDwNvXL7Bv+1oMGjUJAmGhutMy4iLfIikuHHbu2dtCQ0sPFg6l8OFlwbdFWta20NSWbIvMjDRAIICKavbgCBU1DQgEQrx/fqvIcecUH/UWSfHhsHWTzcHcviRCX90t0DpEokw8vXsE6WlJsHAordD4PqeMz9i3xFAH0NUS4GVo9vDu1HTgfaRkJHhBCASAl50AaqrAu0jJerQ1ABsTARJTgG51hBjeQogutYSwVXB9Nj0jA49evkNF7+wpJIRCISr6uCIw5PUXlxeLxbj28BlefgiHn4dTnu0SklMkfSltLYXEndOPcI7xo4kKf4v42Ai4+sqet9o5l8SrZ3cLvV6RSITH9y7A1NIRa/7uh+mDq2HJ5A4IuqnYHwok/drnKFv6s35tqZIIelz4fu3n73Hq/EU0rldHIYXkT+sMefYEJUuXlb4mFApRsnRZPHkcJHeZJ4+DZNoDQGm/8gjO0V4kEmHh3L/Qsm1H2Dvk/T3/5Ma1ACTEx6FO/cZfbPslyqpLiUQiTFu0Gl1aNoSznU2R4ySir1OoOckBoH379mjfvr0iYymQmPh4ZIpEMDaQnTfO2FAfr959KNA6lm7eDTMjQ5QvKfvL6KWb9zBp/gqkpKbBxMgACyaNgaF+0ecHjIuLhUgkgqGR7LzBhoZGeJfHjU5joqNhaPh5e0NER2df/jlg0FAsXvgvenXvCBUVFQgEQgwdMQq+JSQHzY8fJf8e27ZsRK8+A+Dk4oJzZ05hwvjfsXjZKljb2BY5N0BSvAaQ61dyXX1TxMfmntussO5c2g8NTR14l1XsfFwxcQlZnynZbW1soIdX7z/msZSsxVv3w9TIABV85V+2dcT/GnQ0NVG7fOmihitX3jno4+X70AKtY9HWA7ly+K3nL5ixahuaDpkAFRUhhAIh/ujXCX5eyplzOTbr+21kaCDzurGBAV5nzc34tbS1tODj4YYNO/fBwc4GRgYGOHPxMoKCn8LGUjmjfj/lYWz4+X7KoOD7qY07YGpkJFNQzCk1LQ3LNu1EvWqVoKOEE7vYuDi528LI0ACv374r1Dq1tSXbYuPOvXCwtYGRoSHOXAxAUPAT5W2LuHiIRCIYfXZ5qZGhAd4UMg8A+PAxFAePnUC7Vs3R+Zc2CH76DItXroWqqioa1q1dxKhlxeT1eTIwwKt3BdtHLd20C6ZGhrk+TwE372LSv8ulx735k39VyHFPnh8ljx9lPwUAiXGSY7SOvuzxW0ffBImxBbtCRSwS4fTOGbB18YOZTfa8y6d3zoStc5mvnoP8k/i4GIhEmTAwMpZ53cDQGO/fyr+aKSYmEgaGudvHxEQCAGKjI6Wvfd7m09/CPkq24d6ta9C1z3CYWljh6L6tmD5+COat2AFdPQOkp6dh8ZxJ6NxrKEzNLREWWrjtnlNSvGRbaOvJbgttPRMkxRV8W/jvmwErJz+YWEm2haVjaaipa+HywTmo3Gw0IBYj4PBciEWZSIpTXB8tZw5an+ega4qk+PxziPwQjL2LOyEzIxVq6tpo1GMxjC2U09f4RBmfsW+JTtYMmIkpsq8npoqlf8uLmQHQvY4QqipAWgawN0CEyKzZAwyzajnVfQQ4c0+MsBgxfB0F6FRTiNUn8p/v/GvExCdl9W1lpzEz1tfDyw95f3bjk5LRaNQMpGdkQCgQYlz3Vqjk6y63bWpaOhbsPIZGFUtBV0vxU4b+COcYP5qEmE/nrbK/6ugamEjPaQsjMS4SaSlJOH9oNRq0G47GHUbjSeAlbF44Av3Gr4ezV95XlnwNab9WXv/8XeH7tTldunYDCYmJaFS3lkLWB0ju3yESZeaqbxgYGuHdG/k/esVER8EgVz3ECDE56iH7d2+FiooKmrYo2CC6MyePoJRfeZiYmn9lBnLiU1JdatP+Y1ARCtG+SeH6T0RUNIUukhdFamoqUlNl5/xKTUuDhrripgDJy8Z9R3Eq4DqWTvkdGuqyI7bK+npiw5zJiI1PwIHT/pgwbzlWz/wj147vW3H44H48efwIEyZPh5m5BYIeBGLF0kUwNjZB6TJlIRZJRnw0bNwM9Ro0AgC4uLjh3t07OHXyOHr0KtxNOO5ePoSD66dIn3cbvazIuRTErYt7UapyM6ipK3Zet6LacOAkTl25hWUTR+b6TH1y6MIVNKxaPs+/F7f1WTksnzhCJsYdJy7g/rOXmPvrAFiZGuPO42f4e91OmBoZoGKJos/j9l+ZMHIwZi1egTa9h0BFKISbiyPqVq+C4JCCjbL/r23aewhnAq5h0bTxcveLGRkZmPTPEkAsxq8Dev73ARbBH6OGYPaiFWjbe3DWtnBC3epVERxSsBFV3wqxWAx3Vxf07d4FAODm4oyXr97g0LGTCi+SF9XGvUdwOuA6lkwdm2sf5OfrhQ3/TEVMfAIOnrqAiXOXYdWsid/kce9HySMv/8V+6sG1gzi+ZbL0efuhK4q8zhPbpiLi/VN0/W2r9LWn987gVfBV9P5jXz5Lfps+zdPdsn0PVKgq+S4PGDkBQ3u2xLVLZ1G3cWts37AM1naOqFa7UaHf5/HNgzi3M3tbNO9f9G1xfvdURH54inYjsreFtq4xGvdcgHO7puDuxU0QCIRw92sKM1ufIo8QfHL7EC7syc6hae/lhV6XoZkT2o/ah7SUeIQEnsDZHePQctAmpRfKfyQ+9gI0Kpu9TXdeKvzcJ5HxwNpTImioAR62AjSrIMTm85JC+aePzZ3nYtx/KTnXCL0rhqO5ACWdBLhwX8ETk38lHU0NbJs2Askpabj+8BnmbTsMWzNjlPOSvQlyekYmxi7dAkCM8T1aF0+wX/AjnGMUtzsBh7Bv3RTp855jCr+fyo84a0J+77J1UL2x5F4D1g5eePX0Lq6d3aGwIvl/4eips6hYtgxMTYy/3LgYhTwNxpEDezBn4aoCHc8iI8Jw7/YNjB43RfnBFYC8utTjkJfYefQ01v89SWGj+Ino6xSqSJ6ZmYl///0XO3fuxOvXr5GWlibz96io/G8yNXPmTEydKnsjj98H9sLYwb2/+N6GenpQEQpz3QwhKiYOJp/9ovq5LQeOY9O+o1g46Ve5l2FraWrAzsoCdlYW8HV3wS9Dx+PQmYvo0aapnLUVnL6+AYRCIWKiZee6i4mJhqGxkdxlDI2Mct3UMyYmBkZZo11SU1OxacNajJ8wBeUrSO7w7OTkjBchIdi3dxdKlykLI2NJWzt7B5n12NnZIyI8rND5eJWpAzuX7Eu8MtIl2z8hNhJ6htm/yibERcDKXjHTcrwMvomIDy/QYfA8hawvJ0N93azPlOwNdKJi42FimH+BZfPh09hw8CQW/28Y3BzkXw515/EzvHofir+Gf/nzXVh55xD3xRw2HT6NDQdPYcn/hsrkkJKWhqXbD2HO6H6o5ieZVsDNwQZPXr3F5sNnlFIkN8j6fn9+45mo2Ng8bzRTEDZWFlj01yQkp6QgMSkZpsZGmDxnIawtij6KQJ5PeUTFfL6fiv3ifmrr/qPYsvcI5k/5Ha6O9rn+npGRgYn/LMHH8AgsnDZOKaPIAcBAX1/utoiOKeq2sMTCGZORnJKCpKRkmBgbYcrf82FtYVHEiOUz0NeDUChEdHSMzOtFzcPYyBAOdrJX49jb2cD/smLn+AVyHPc+/zzFxuYalf25rQeOYfO+I1gw+bc8j3u2VhawzTrutR8yFofP+KN7m2YKzQH4cfL4nvdTbqXqwNope07nzAzJ8TsxLhK6BtnvkxgXCQu7L+/jT2ybhmf3z6Prr5uhb5Q94v3l46uIDn+NeaNkiwJ7lw+DnVs5dBmz6Yvr1tM3hFCogtho2T5lbEwUDI3kzxVhaGiS64aLsTFRMDSUtDfIWi42JgpGxqYybRycJSNNDbNet7HLvmxbTU0d5pbWiAiXXJn1MPAWXr8KQdeW5wAAYkiKIwO6NEar9j3Qrku/L+bn7FsHlg65t0VSfCR0cmyLpPhImNl8eVuc3z0NLx6eR9thm6FnKHv1gYNnNfSceBrJCVEQClWhoa2P1ROrQt+0yRfXmx9H79qwsM/uD37KITk+Ejr6OXJIiICpdf79QRVVdRiYSvqrZra+CHvzAPcvbkTNdtOKFGN+lPEZK05P34vxPiq7QP3p5pw6mrKjyXU0BAiNyb+QLRJBOiL8Y7QYVsYClHcT4PgtMRKy1hXx2T0CI+LEMJA/I0ihGOppZ/VtZYemR8XFw8Qg7yuFhEIh7LPm5vZwsMaLD2FYe+ScTJE8PSMT45ZuwYfIGKwY208po8iBH+Mc43vn7VcHdq459lPS89YI6BtmTwWWEBsJK4fCn9to6xlCqKIKc2vZH2PMrZ3x8sntQq/3c9J+rbz+uaFhkdf/MSwct+8FYuq434q8rpz09A0gFKrkqm/ExkTD0Eh+Md7QyDjXTT1jcrR/FBSI2NhoDOiZPbuBSJSJDWuW4vCB3Vi+bofMsmdPHYOunj7KV6yqiJSUUpe6++gpomPj0Xrg79LXMkUiLNq4AzuOnMK+ZX8rJHYiyluhJlGcOnUq5s2bhw4dOiA2NhajR49GmzZtIBQKMWXKlC8uP378eMTGxso8RvbtWqD3VlNThYezg8zNDUQiEW7efwRfD5c8l9u8/xjW7TmMfyeMgperY4HeSywWIz09o0Bt86OmpgZXV3fcu5d9gBSJRAi8eweenvJvhuHp6Y3Au7JzUN69c0vaPjMzAxlZlxHmJFQRSkeQW1hYwtjEBO/eyk7p8u7dW5iZF74gpaGlAxMLB+nD3MYVugamCHmYXRxKSU7A2+eBsHNVzA2WbvnvgbWjD6zsFV+YVVNVhaeTncwNcUQiEW4GBaOEm3Oey208eApr9h7DgnFD4O3ikGe7g+cuw9PJHu4OipneRp68crgR9AQl3PKen02Sw3EsHDc4Vw4ZGZnIyMyEQCj7K7ZQKJSOllA0NTVVuLs44Vag7FxztwOD4OPhls+SBaOlqQlTYyPEJyTgxp1AVKtQ9ssLFYIkD8dcedwKfAgfj7xHxW3ZdwQbdh/APxN/hadr7s/epwL52w8fMX/KWBjoKWc6CSDntsieZ1WyLR7Ax0P+ZctfQ0tTEyaftsXdQFStqKxtoQZ3VxfcCcy+F4NIJMKde4HwLkIevl6eePNOdoqFt+8+wML86+de/hI1NVV4uDjiVo6bVYpEItwMfARf97w/T5v3H8W63Ycwb+IYeLl+eZ5GABCJxUhTwHFPnh8pj+91P6WhqQtjcwfpw9TKFTr6Znj5OPsGcqnJCXj/4h5snMvkuR6xWIwT26bhyd1T6DxqAwxNZX+4qNyoP/pOPIg+E/ZLHwBQt/14NO1RsJt4qqqpwcnVA0GBN6WviUQiBN27CTcP+Tc7dPP0xYN7N2Veu3/3Otyybo5obmENQyMTBOVok5SUiJAnD6VtnFw9oaamjg/vsqfbyMjIQHjYB5iaS4rPI8fPwKyFGzFz4QbMXLgB/YaNBwBMmr0M9ZsW7JJvdU1dGJo5SB/Glq7Q1jfDm6c5tkVKAkJf3YOVY/7b4vzuaQi5fwpthmyAgUnec/Fr6RpDQ1sfb55cQVJCJJx96hQo1vxyMDB1kD6MLFyhrWeGt8+yc0hLSUDY68Cvnl9cLBZJi+7KoozPWHFKy5AUtj89IuKAhGTJCO9P1FUBaxPg3VfODiNAdtE9NhGITxLD5LMar7GeALFJRcshJzVVVXg52uD6w+x7VohEIlx/+AwlXXIPIsiLSCxGenqm9PmnAvnr0Ags/60vDPO4x4Ui/AjnGN87DS0dmFo4SB/mNq7QMzDFsyDZ89Y3zwPh4Fq60O+jqqoOWydfRHyUvfor/ONLGJpaF3q9n5P0a51x+55sv/Z24H34eBa9f3789DkYGhigcnm/Lzf+CmpqanBxdcf9u9n3wpDUQ27D3VP+1JLunj4IvCd774zAOzfhkdW+Zp0GmLd4LeYuWi19GJuYokWbjpg4fY7McmKxGGdPHUOtOg2hKucG6oXLSfF1qcY1K2PT3CnY8M9k6cPU2BBdWjTC/AmjFRI35U0kFvPxlY8fUaH2EFu2bMGqVavQtGlTTJkyBZ06dYKLiwtKliyJq1evYvjw4fkur6GhAQ0N2SkzMr5iqpVOzRtg+uI18HRxhI+rE7YfOY2U1FQ0qy35VXDqwtUwMzHC4C6SE5VN+45i1Y4DmDqyH6zMTBEZLfnlVUtTA9pamkhOScX6PYdRvXxpmBgZIDYuAbuPn0V4VDTqVCn3Nf80eWrZui3mz/sbrm4ecHf3wMEDe5GSmoK69SWX6v77zywYm5hKp0Bp3rIN/jd2NPbt3YXy5SvC/8I5PHv6BEOGjQIAaGvrwLdESaxbuxLqGuqS6VbuB+LcmVPo3W8gAEAgEKB12/bYtnkDnJxd4OTsgrOnT+Ld2zcY98dk+YEWgkAgQJWG3XH+4HKYWDjAyMwWZ/YuhJ6hObz8sufSWju7F7z96qFSfcn0BKkpiYgKzZ6DLDr8LT68egQtXQMYmmR3JlKSE/Dg+gk07pT9i6qidW5aF1OXbYSXsz18XB2x/dhZJKemollNySj9yUs3wNzIEEM6tQQAbDh4Eit3HcH0oT1hZWaMiKxf87U1NaCtmT0aJSEpGWeu3cGILm2UFnt2DnUwddkmaQ7bjp1Dcmoqmktz2AgzIwMMleZwCit2HcGfQ3vAyswEEVmjOyU5aEBXWwt+Xq5YuGU/NNXVYGlqjNuPnuGo/3WM7Ka8fNq3bIKZC5bDw9UZXm4u2HXoGJJTUtCkbk0AwF/zl8LUxBgDunUEILlpyss3byX/n5GBiKgoPH3+ElpamrC1khQ0rt+5B7EYsLOxwrsPoVi2fivsba2l61SGjs0b4a9Fq+Dp6gQvN2fsPHQSyampaFqnBgBg+oIVMDMxwsCuktEPm/cexprtezF51CBYmZsiMmvks5amJrS1NJGRkYEJcxbhyfNXmP2/0RCJRNI2+rq6UFNT/OxZ7Vs2xcwFy+Dp6gxPN1fsPnQUySmpaFwva1v8uwRmJsbo370TgM+2RXomIiLlbIvb9yCGGPY21nj74SOWr98CextrNFHgvIefa9eqOWb/uwjuri7wdHfDngOHkZKSiob1JAWiWfMWwtTEGH17dM2KPR2vsvLIyMhARGQknj1/AS1NTdhYWwEA2rZsjuG//w9bdu5BrWpV8PjJMxw5cQqjhg5USg4dmzfAn4tWw9PFEd5uzthx+KTkuFenGgBg2sJVMDM2xKCuvwAANu07gtXb92PKyAF5Hvc27DmEauXLwMTQALHxCdhz/AwioqJRp7LyLgn+UfL4UfZTAoEA5et2x+Wjy2Bs7gADU1v4H1gAPUNzmbnEt87rAfcy9VGutuQ7cmLbVDy8fhjtBi+FuqYOErLuP6KhpQc1dU3oGpjJvVmngbF1roJ6fpq06oTl/06Hs6snXNx9cOzAdqSkpKBmPckVAkvnTYWxiRk69hgMAGjUoj2mjx+MI/u2onS5Krhy8TSeP3uMvkPHSfNt1KID9u1YD0trO5hZWGHX5lUwNDZFuUqSfbO2tg7qNm6FPVtXw8TUAqbmlji8dwsAoGI1yT7Dwkq2IBUfJ/lc2tg6Qke3cD9eCgQClK7RHTdOLoOhmQP0jW1x9egC6BiYw7lE9rbYu6QHXErWR6nqkm1xfvdUBN86jGZ9l0JNQ0c6z7yGph5U1SX9kYfX9sDIwgVausb4+PIO/PfOQJmaPWFkkXeRrrA5lKzeHbfOLIeBqSP0jW1w/cRCaOubw8knO4eDK3rCybceSlSV5HD16FzYe9aArqEV0lMT8fTOYbx/fh3N+q6WLpMUF46k+AjERkj6jZEfnkBdQwe6RlbQ1DYsdMyK/owBQEJ8LCLCQxEdJZnf+MM7ScyGRibSEeox0ZGIiY5E6HvJfuHNqxBoamnD1MwCunr5j0D8GjeeilHFW4CoBDFiE4EavkLEJwNP3mWf2HaqKcSTd2LceiZ5rWYJAZ5/ECMuCVBXA7ztBXAwB7b7Zy9zLViMaj6SEelhMUAJRwFM9IB9lxV7wtylYXVMXrUT3k628HG2xdaTl5Ccmo4W1SXnZxNX7oC5kT6G/SK5Cd/aw+fg7WgDW3MTpGVkIOBeMI5evo3x3SXTqaRnZOL3JZvx+NU7LBjZE5kiMSJiJKO8DXS1oKag4llOP8I5xtdS0dGGjmv2DxnaTrbQL+WJtKhYpLwp2FzNyiIQCFC1UXecPbACppYOMDazxcndC6FvaA7vsnWl7VbN7AWfcvVQJcd5a2SO89ao8Hd4/+oRtHUMpEXwGk17Y9vi0XDyKAdn7wp4EngJj++cR///rVdoDr+0bIZZ85fA3dUFXu6u2H3wCFJSUtEoa7q/Gf8ugpmxMfr1kMSeq18blbtfC0gKvMfPnEPDOjWhoqKi0JgBoHnr9lg0byZc3Dzh5u6Jwwd2IzUlWXoTzYVz/4KxiRm69uwPAGjaoh0mjRuOg3t3wK98JQT4n0XIs2AMHPYrAMnodD192f2liooqjIyMYWMr+0Pa/Xu3ERb6AXUbFm2GgM8pui5loKcLAz3Z+zCoqqjA2NAADjbKu0cNEWUrVE/g48ePKFGiBABAV1cXsbGSL3ezZs0wceJExUWXh3pVKyA6Lh6rt+9HZEwc3Bzt8O8fo2CcdVlLaEQUhDlGv+49eR7pGRn43z+yc2f3+aUF+nZoCaFQiFfvPuLohaWIjUuAgZ4OvFycsGz6OIXdUbh6zdqIjYvF1k3rER0dDWdnF0yZNhNGWTfzDA8Pg0CYPSrcy9sHY37/H7ZsXIdN69fC2sYG/5s4FQ6O2aPofhs7ARvXr8HcOTOREB8PM3MLdO3eG42bNJe2admqLdLT0rBm5TLEx8fDydkZ0/6aDSsrxf2iDQDVm/RFWmoyDqyfjJSkONi7+aHHrytl5g+PCnuNxITsS6bevQjC2lk9pM+PbZsNAChTrRXa9pspff3+1aMAxChZSbEHtZzqVy6L6Lh4rNx9GJEx8XB3sMGCcUOkl0KGRkRDmGNesL2nLiI9IwPj5q+WWU/ftk3Qv112nKeu3IJYLEbDqor5sSU/DSqXRUxcAlbsPiLNYWGOHD5GRMnMbbYnK4ex89fIrKdf28bSHP4a3htLth/AxMUbEJeQBEszYwzq0Axt61VTWh51q1VGTGwc1m7bjajoGLg6OeCfyeOyv9/hkRDkuIIiIioafUb/T/p8+/4j2L7/CEr7eGHhX5L9UUJiMlZu2o7wyCjo6emiZuXy6Nelg8JGEsjPoxJi4uKxetteRMXEwtXJHnMn/pZjPxUps5/af+Is0rMK4Tn1at8KfTq2QXhUNC7dkFxd0mvMBJk2C6eNh5+vYqY2yqlO9SqIiYvD2q27pNtizuRx0ss5wyIiZHKIiIpC31HZhYLt+w9j+/7DKO3rhQV/SX6YS0hKwqpN2xAe8WlbVEDfrh2Vui1qV6+K2NhYrN+yHdHRMXBxdsKsqROkU2OEhUfIfDcio6IxYMSv0uc79x3Ezn0HUcrXB/NmSi7993R3xdT//Y41G7dg0/ZdsLIwx+B+vVCvVg2l5FCvakXExMZj1fb9iIqJhZuTPeZNGC37ecqRw74T55CekYE//lkis57e7Vuib4dWWce9Dzh6PiDruKcLT1dHLP1zPJztFXPc+5Hz+FH2UwBQqWE/pKcl49jmSUhJioOda1m0H74aqmrZx++YiDdIznH8vnNhGwBgy9xuMutq2mMmSlZRXMGmcvV6iIuNxu4tqxETHQkHZzeMm/qv9EaLkeGhMlfUuXuVxJBfp2LX5pXYsXE5LK3tMPqP2bBzyB7R1bxtV6SmJGP14llISkyAu3dJjJv6L9Rz9Fc69xoGFaEKlv47FempqXDx8MGEPxdDV1e5c9yXrdsPGWnJOLtjElKT42DtXBYtB8hui9jPtsX9AMm22LtYdlvU6zQT3hUl2yI67AUuH56HlKRY6BvboFz9gShTq6dScihdqy/S05JxYfckpKXEwdKxLJr1XSWTQ1zka6QkZueQnBCFs9vHIjEuHOqaejCx8kCzvqth5559SXzQ1e24eSp7P3BgmaTAXrv9DHiWL/xnThmfsVvXLmHFgj+lzxf9LfmOt+nUB+06SwbDnD62D3u3Zfe/po0bBAAYMGICatZTXH/36mMx1FSAxmWF0FQH3kQAO/1FyMwxXbmhLqCVY+ySjgbQrKIQuppAajoQFgts9xfhZY77wN94KoaKClCvtGS9YTGSNjGJCgsdANCwYilExydi2b6TiIyNh4e9NRaP6S2dbuVjZIzMMSM5NQ0zN+1HWFQsNNTV4Ghlhun9O6JhRcmVreHRsbhwR3I1U8dJC2Tea+XY/rnmLVeEH+Ec42sZlPVF5TPZ02p5/yM5/r3ZuBeBfcYXV1hSNZv2QVpqMvaunYyUpHg4uvuh12+y562RYW+QGJ+9n3r7IgirZvSUPj+yVXLe6letFdoPkFwh5VuuHlr1mozzh1bh4KYZMLNyRJfh8+HoodirJetUr4rY2Dis37oDUdExcHF2xOwpf8j0a4Wf9Wv7jcwebLZj3yHs2HcIpXy9MX9G9hS4t+7dR2h4BBrXK9pVRnmpWqMOYmNjsH3zWsRER8HJ2RUTps2RTp8SER4m03fy9PbFyN8mYtumNdiyYRWsbGzx+4S/YO/49T/wnjl5BB5evrC1y/vKjMJQdF2KiIqfQFyIeRM8PDywceNGVKxYEdWqVUOzZs0wbtw47NixA8OGDUNY2NfPdx11/9JXL/OtCddW7E63uASGK6+w8F9qoH62uEMoMgF+jEtYkrW+7Ru/FIRQpJypG/5rmSrKv0HyfyFD+P3foEorLe7Ljeg/kaHybd0QurCOhSpn2qL/Wgnr/O9t8z24GvL9H/cAID39+++HVPeM/nKj78DJu4obYV6chtsdKu4QiixDQ/fLjb4DlyoOKe4Qiiwt4OGXG30HKhoEfbnRdyBKRTn3e/ovWSc/+3Kj74BxCeUNavtR/bpMgXOG/ST+GaTAm5F8Iwo1J3nr1q1x5swZAMCwYcMwceJEuLm5oXv37ujdmzcOISIiIiIiIiIiIqLvQ6Gu4Z01a5b0/zt06AAHBwdcvnwZbm5uaN68eT5LEhERERERERERERF9Owo1knzmzJlYu3at9HmlSpUwevRohIeHY/bs2QoLjoiIiIiIiIiIiEhZxGIxH1/5+BEVqki+YsUKeHp65nrdx8cHy5cvL3JQRERERERERERERET/hUIVyT9+/AgrK6tcr5uZmeHDhw9FDoqIiIiIiIiIiIiI6L9QqCK5nZ0dAgICcr0eEBAAa2vrIgdFRERERERERERERPRfKNSNO/v164eRI0ciPT0dderUAQCcOXMGv//+O8aMGaPQAImIiIiIiIiIiIiIlKVQRfLffvsNkZGRGDx4MNLS0gAAmpqaGDt2LMaPH6/QAImIiIiIiIiIiIiIlKVQRXKBQIDZs2dj4sSJePToEbS0tODm5gYNDQ1Fx0dERERERERERESkFCKRuLhDoG9AoYrkn+jq6qJ8+fKKioWIiIiIiIiIiIiI6D9VqBt3EhERERERERERERH9CFgkJyIiIiIiIiIiIqKfFovkRERERERERERERPTTYpGciIiIiIiIiIiIiH5aRbpxJxEREREREREREdH3Siwu7gjoW8CR5ERERERERERERET002KRnIiIiIiIiIiIiIh+WiySExEREREREREREdFPi0VyIiIiIiIiIiIiIvppsUhORERERERERERERD8t1eIOgIiIiIiIiIiIiKg4iEXi4g6BvgEcSU5EREREREREREREPy0WyYmIiIiIiIiIiIjop8UiORERERERERERERH9tFgkJyIiIiIiIiIiIqKfFovkRERERERERERERPTTUi3uAD45n1yluEMosszE4o5AMRqony3uEBRi6bPaxR1CkZX3zCjuEBTi6SuN4g6hyFLTfoy7XVub/Rh5qKt+/3mkZQiKOwSFiIz9/n9vtzAWFXcICtHI8k5xh6AQHwR2xR1CkfURLS/uEBRDlFbcERTZwcihxR2CQoxMm1XcISjEovfjijuEIlNV/TGO304BD4s7hCJTr+pd3CEoxJIVgcUdgkI4OXz/53zvPpgUdwgKMblEcUfw/RGJv//zSyq67//MloiIiIiIiIiIiIiokFgkJyIiIiIiIiIiIqKfFovkRERERERERERERPTTYpGciIiIiIiIiIiIiH5aLJITERERERERERER0U9LtbgDICIiIiIiIiIiIioOYpG4uEOgbwBHkhMRERERERERERHRT4tFciIiIiIiIiIiIiL6abFITkREREREREREREQ/LRbJiYiIiIiIiIiIiOinxSI5EREREREREREREf20VIs7ACIiIiIiIiIiIqLiIBaJizsE+gYUaiS5iooKwsLCcr0eGRkJFRWVIgdFRERERERERERERPRfKFSRXCyW/wtLamoq1NXVixQQEREREREREREREdF/5aumW1m4cCEAQCAQYPXq1dDV1ZX+LTMzE/7+/vD09FRshERERERERERERERESvJVRfJ///0XgGQk+fLly2WmVlFXV4ejoyOWL1+u2AiJiIiIiIiIiIiIiJTkq4rkL168AADUrl0be/fuhZGRkVKCIiIiIiIiIiIiIiL6L3xVkfyTc+fOAQDS0tLw4sULuLi4QFW1UKsiIiIiIiIiIiIiKhYi+bdepJ9MoW7cmZycjD59+kBbWxs+Pj54/fo1AGDYsGGYNWuWQgMkIiIiIiIiIiIiIlKWQhXJx40bh3v37uH8+fPQ1NSUvl6vXj3s2LFDYcERERERERERERERESlToeZI2b9/P3bs2IFKlSpBIBBIX/fx8UFISIjCgiMiIiIiIiIiIiIiUqZCjSQPDw+Hubl5rtcTExNliuZERERERERERERERN+yQhXJy5UrhyNHjkiffyqMr169GpUrV1ZMZERERERERERERERESlao6VZmzJiBxo0b4+HDh8jIyMCCBQvw8OFDXL58GRcuXFB0jEREREREREREREQKJxaJizsE+gYUqkherVo13L17F7NmzUKJEiVw8uRJ+Pn54cqVKyhRooSiY5RLLBbj9N5FuHFuF5KT4uHgXgatek6GqaVjnsu8eHwD/kfW4t3LIMTHhKPriEXwKVcvV7uwdyE4vmMunj++AVFmJsxtXNB1+AIYmlorJY8z+xbh5vldSEmKh71bGbTo8eU8Lh1bi/dZeXQevgjeZWXzSE1JxMmd8/Do9hkkJcTAyMwWlet3RYU6HRWew66TF7D50GlExsbBzd4Gv/ZsDx9X+fHvPxOAIxev4fnb9wAATyd7DO7QQqZ9hU5D5C47rHMrdGteX9Hhy6juI0BpZwE01IC3kcCJWyJEJ+TdvoyLAH4uAhjoSJ5HxAKXHorw/KNsOxsToIavENYmgFgMhMYAO/xFyMgsWrxisRhHdixFwJk9SE6Mh7NnaXTsNwHmVg75Lnfh+HacPrgecTERsHFwR/ve4+Holv3djY2OwL5N8/A48ApSUxJhYe2Ihm36oUwlyb//k6AbWDClj9x1/z5zKxxcfYuc19VjC3H/yi6kJsfB2skPdX6ZAiNzxzyXuX5qBULunURU2HOoqmnCyqkMqjX/FcYWztI2iXHhuHjgb7wOvoy01EQYmTuhQv2BcCvdsEjx5pfHjZOL8OiaJA9LRz/UaDMZhmZ55/Hg8jYEXdmG+Oh3AABjC1eUrT8EDp41AAApSTG4cXIR3jwJQEL0B2jpGsPJpy7KNxwBDS09peRwdt8i3LyQYx/VfTJM8tlHvQy+gUtH1+L9K8k+qtOw3PuohNgInNw5F8+CApCSFA8H93Jo1vWPfNdb1DxO7VmM61nHDEf3Mmjda1K++9rnj2/C/8havH0hyaP7yIW5jhk7V/wPty7ul3nNvUQ19Bm7UglZ/Bjb40f6fn/v/ZB9R05g+/5DiIqOhYujPUb07wUvd1f5sb9+g7Vbd+FJyHN8DIvA0D7d8UuLJjJtkpKSsWbrTly8egPRsbFwc3LEsH494eXmotC4P3fi8B4c2rsVsdFRsHdyRa8Bo+Dq4Z1n+6uXzmLn5lUID/0IS2tbdO45CGXKVwEAZGRkYMemlbh78wrCPr6Hto4OfEuVR6eeA2FsYqa0HLZfuosN524hIj4R7tZmGNe6Nko4WH5xuWN3gjFu01HU9nXB/N4tpK8vO34Fx+8G42NMPNRUVOBta46hTaqipIOV0nIAgO2X72OD/x1ExCfB3coE41rWQAk7iy8ud+zuU4zbdhK1vZ0wv4fs5+p5aBTmH7uCW8/fI0MkgouFMeZ2bQQrI8Uf8z5R1r42NSURp3bJ9s8r1VNO/3z7jcfYcOUBIhOS4W5hjLGNKqCEjfzP8IF7zzD5YIDMa+oqQlz/Xzfp8zOPXmHX7WA8+hCF2ORUbO/XHJ6WxgqP+3NisRi3Ty9C8M1dSEuOh4VDGVRpORkGpo55LvPo6jY8ur4dCVl9KUNzV5SpMxh2HjXkrv/khgF4++Qi6nZdBEfv3PtkReVx8+QiPL6e3Ses3noyDPLpEwZd2YaHOfqERhauKFtvCOxz9AlvnlyEt08CkBAj6RM6+tRFuQbK6xOe2rtYetxzdC+DVj0L1pf6dNzrNiJ3XwqQHPeO7ZgnPe5Z2Lig6/D5Sjn/LgjjauXgPKYPDPx8oWltjpttByP04JliiSU/dcuooLyHCjTVgVdhYhy8nIHIuIIV+mqUVEHDcqoICMrA0WuSk1ItdaCunypcbQQw1BEgMQV4+CoTp29nIjVd8fGLxWIEHF6IwICsPqGzHxp0yr9PePX4Cjy9exKRoc+hpqYJa+cyqNlatk+4/d9uePP0usxypap1QIPO0xSfRJZaJYXwcxNCUw14Ey7GkeuZiIrPu305NyHKuQthmFVHCIsVw/++CM/eZ28/I12gvp8K7M0FUBUCzz6IcexGJhJTlJYG0U+vUNOtAICLiwtWrVqF69ev4+HDh9i8efN/ViAHAP8jq3H55Ga06jUFg6fsgLqGNtb+3Q/paal5LpOWmgwrew+07DExzzaRoa+x/M8uMLNyQv//bcCIGftRp9UgqKppKCMNXDy6GldPbUbLnlMwcJIkjw3/5J9HemoyLO080Lxb3nkc2zobT+9fQrsBf2PEzCOo0qA7Dm/6E49un1Vo/Keu3ML8TXvRt20TbJwxDm4Othg+azGiYuUfEW49eoKGVcph2YQRWDP1V1iYGGHYzMUIi4qRtjm6bIbMY+KArhAIBKhToYxCY/9cJU8ByrkJcPyWCBvOiJCeAXSoIYRKPt+S+CQxzgeKsO6UCOtPifAyTIx2VYUw1c9uY2MCtK8uxItQMTacFmH9aRFuPRVDrIAfKk8dWIfzx7aiY/+J+G3mFqhraGHxnwPz/fzcCjiOvRvmoMkvAzFu9g7YOnhg8V8DER8bKW2zcfEfCHv/EgPHLsQfc/eiVMV6WDPvN7x58QgA4OxeGjNWnpV5VKnbBibmNrB38SlyXjfPrMId/02o234KOo7aCTV1Lexb3gcZ6Xnn9e7ZdZSs3gUdR+1Em8HrIMrMwL5lfZCemiRtc2LzWESHvUCLfsvQbewhuJasj6PrRyLs7cMixyzP3fOrcf/SJtRoMwVth0nyOLy6b7556BpaoFKTMWg3Yg/ajdgNG9dKOL5+CKI+PgUAJMaFITE2DFWa/Y4OYw6hdoeZeB18Eed3/aGUHD7to1r0mIIBn/ZRc7+8r7W090CzPPZRYrEYWxcORVT4G3QevgSDpu6Foak11s3pjbQc20uRLhxeg4CTm9G692QMnbod6hpaWDO7/xfySIKVvQda5XPMAAD3ktUwYfEF6aPT0DmKDl/qR9geP8r3+3vvh5y9eBlL1m5Cjw7tsGreTLg4OeDXKTMRHRMrt31KahqsLczRv1tnGBsZym3z9+IVuHn3Pv4YNQTrFs5B+TIlMWbSnwiPjFJo7Dld9j+NTasXoV2n3pi5YC0cnFwxc9JoxMZEy20f/Og+Fv49BbXrN8OshetQrlJ1/PPXeLx5+RwAkJaagpchwWjTsSdmLliL0f+bgffvXuOf6WOVlsPxO8H454A/BjSshO2ju8DD2hSDVu5FZHz+3793UbGYd9Affs42uf7mYGaE8W1qY89v3bB+WHtYGxtg0Iq9iEpQzj4WAI7fe4p/Dl/CgLrlsX14e3hYmWLQmkOI/MJ7vouKw7wjAfBzyl3AfxMZi57L98LJ3AirB7TC7lEd0b9uOairqSgrDQDK2dcCwPFtWf3z/n9j+IwjqNygO45s/hOP7ii2f34i6AXmnrqBATVKYVu/5nC3MMLgracRlZic5zK6Gmo4Paq99HFseDuZvyenZ6CMnQVG1PVTaKxfEui/Gg+vbEbVllPQYtAOqKpr48S6fvkeM3QMLFG+4Wi0HLIbLYfsgrVLJZzePBTRoU9ztQ0K2KDM8KXunV+NBwGbUL3NFLQethOq6lo4sib/PqGOgQUqNh6DtsP3oM1wSZ/wxIbsPmFSXBiS4sJQqdnv+GXMIdRqPxNvgi/iwm7l9AkvHFmTddybjCFTtkNNQwtr/86/L5We1Zf68nGva9Zxbz1GztiHOq0GKu38uyBUdLQRFxiMB8OnFlsMX1K9hAoqe6vgwOUMLDuUjvR0MXo2VINqAXaPNqYClPdQwYcokczretoC6GkDx69nYuG+NOy5mA53WyHaVCvU2Movun5qFW6f34T6naagy287oa6hhV2L8u8Tvnl2HWVqdkHX33bil+GSPuGuRX1y9VlLVm2PQTMvSR81W/+ulBwAoKq3EBU9hThyLROrj2cgLQPoWkc13zpCXJIYp+9kYuWxDKw8loGXH8XoWFMFZgaSv6upAF3rSv7dN57OwNqTGVARAp1qKff4R/SzK3SRPDMzE7t378b06dMxffp07NmzBxkZGYqMLU9isRgBxzeidouB8C5bF1b2Hmg/YBbiY8Lw8NbpPJfzKFUDDX4ZCZ9yeY9GPrlrPjxK1UDjTr/B2tEbJhb28ParA10DE6XkcfnERtRqPhBefnVhae+Bdv0leTy6nXce7qVqoH67kfDOJ4/Xz+6gTLWWcPaqACMzG5Sv3R6Wdh54+zxQoTlsPXIGrepUQfNaleFsa4VxfTpCU10dh85fkdt++tBeaNegBtwd7eBoY4k/+neRjLZ9ECxtY2poIPO4cCsQZb3dYGNhqtDYP1feTYCAR2I8fQ+ExwKHr4ugpwW42+R9M9pnH4CQj0B0AhCVAPg/ECMtA7A2yV6mbmkhbj0T4+pjMSLigKh44PFbMTJFea62QMRiMc4d2YxGbfuhVPnasHFwR4+hfyE2Ohz3buR9snXm8EZUqdsWlWu3gpWdCzr2nwh1dS1cObtf2uZ58F3UbNwJjm4lYGphi8Zt+0NbRw+vn0uKTapqajAwMpU+dPUMEHjjHCrXblXkm/eKxWLcubARFRsMgkuJejCz8UTDrn8jMTYMIffz/l60HrQGPhXbwMTKDWY2nmjQZRbio98j9E2QtM2HF3dQukZXWDqUhIGpHSo2HAwNLX2E5WijKGKxGIEXN6Js3YFw8q0LE2sP1Ok4G0lxYXgRlHcejt514MPZlxcAAP7ASURBVOBVE4ZmjjA0c0LFxqOgpq6N0Nf3AAAmlu5o1GMRHL3rwMDUHraulVCx0Si8fHgOokzF7oPFYjGunNyImi2y9lF2Hmjbbxbio7+wjypZA/XajoR3Wfn7qMjQl3gTcg/Ne0yGrXMJmFk5oXn3ychIS0Xg1SNylylqHpeOb0SdlgPg8+mYMXAW4mLCEHQr71FBnqVqoOEvI+BbPv9RZapq6tAzNJM+tHUMFJ0CgB9je/xI3+/vvR+y88ARNGtQB03q1YKjvS3GDOoLTQ11HD19Xm57LzcXDOrVFXVrVIG6Wu6T5dTUNPhfuY6BPTujlI8XbK0s0avTL7CxssSBY6cUGntOR/bvQJ2GzVGrflPY2juh75DfoK6hgfOnDsttf+zgTpQqWxHN23aBjZ0jOnTrDycXd5w4vBsAoK2jiz/+XIDK1evC2tYBbp6+6D1wNJ4/C0ZE2Ee56yyqTRduo00lX7Sq4AMXSxNMaFcPmmqq2H/9QZ7LZIpE+N/mYxjUsDJsTXLvc5qU9UQldwfYmhjC1dIUv7asgYSUNDx9H6GUHABg08W7aFPBB63Ke8HFwhgTWteS5HHjUf55bD+FQfUrwNY4dx6Ljl9FNQ8HjGpSBV42ZrAzMUAtbyeY6GorLQ9l7WsBSf+8dNWWcPrUP68l6Z+/U3D/fNPVh2hTxg2tSrvBxcwQE5pWhqaaCvbffZbvcqa6WtKHia6WzN+alXTBgBqlUNHpvxvZKxaLEXR5I0rXHggH77owtvJAzV9mISk+DK8e5r0t7L1qw86jJgxMHWFg6oRyDUZCVV0bYW/uybSLfP8I9y+tR/W2fyk9j/uXNsKv7kA4+tSFiZUHaneQ9AlffqFPaO9VEwZZfcIKjSR9wrCsPqGxpTsadM/qE5rYw8a1Eso3GoVXSuoTBhzfiDotsvtSHQZI+lIP8+lLeXzqS8kZPf7JiV0L4FGqBpp0+hU2Sj7/LqjwE/54Mnk+Qg/kvX2KW1UfFZy/l4lHr0UIjRZjl38G9LQAL/v8SzzqqkD7mqrYH5CO5M9q0WExYmw7m4HHb0SIigeefxDj1K1MeNoLISzaKV4uYrEYt85uRKVGg+BWqh7MbT3RpMffSIgNw9N7ef+7/zJ0DXwrt4GptRvMbT3RuPssxEW9R+hr2f6emromdA3MpA8NLV3FJpBDRS8h/O+LEPxWjLAYYP/lTOhpA552ef+jPXknxrP3YkTFS+oDZ++JkJYB2JpKlrEzF8BQB9h/JRNhMZCu19pEACdLBW8MIpIqVJE8KCgI7u7u6NGjB/bt24d9+/ahR48ecHNzw4MHeXfoFSU6/C3iYyPg6pt9k1BNbT3YOZfE62f38lkyfyKRCI/vXYCppSPW/t0Xfw6uiiWTOyDopnIOjtHhb5EQGwEXH9k8bJ1L4k0R8gAAe9cyeHznHOKiQiEWi/H80TVEhL6Eq2/VooYtlZ6Rgccv3qC8r6f0NaFQiPK+nrj/9HmB1pGSmoaMjEzo53GyExkTh4A7D9CidhWFxJwXQx1AV0uAl6HZw7tT04H3kZKR4AUhEABedgKoqQLvIiXr0dYAbEwkl6p1qyPE8BZCdKklhK0C6v2RYe8QFxMBjxKVpK9p6ejB0bUEXgTL//xkpKfjzfNH8CyZvYxQKIRnyYp4/iR7GWeP0rh9+QQS42MhEolwM+AY0tNT4eZdXu56A2+eR2J8LCrVblnkvOIi3yIpLhx27tnbXENLD5YOpfDhxZ0CryctWXI1g6Z29km3lVMZPLl9DCmJMRCLRAi+fQQZGamwda1Q5Lg/Fx/1Fknx4bB1k83D3L4kQl/dLdA6RKJMPL17BOlpSbBwKJ1nu9SUeKhr6kKoothRHtJ9lPdn+yiXkngTUvh9VEa65HpNtRwjhIRCIVTU1PH6ye3CB5yHqKxjhluOY4aWth7sXEri9dO7RV7/80c3MG1wNcz5tQn2rZuKxPiYIq9Tnh9he/wo3+/vvR+Snp6BJyEvULZU9hWAQqEQZUuVQFDwk0KtMzMzE5kiEdTV1GRe11BXx/1Hj4sUb14y0tPx4lkwSpTOPjYJhUKUKF0OTx7L748+fRyEEqXLybxWyq8injzO+8eUpKQECAQCaOsqfvqC9IxMPHobikru9tLXhEIBKrnbI/DlhzyXW3HyKox0tdGm0penN0vPyMSeK/ehp6kBd2vlTBmTnpGJR+/CUcnNVvqaUChAJVdbBL7O+8eFFadvwEhXC20q5J4eRyQS4+LjV3AwNcTA1QdRa9padFm8C2eDCtbHLCxl7WsBSf88+O45xEUrsX+emYlHHyJlitlCgQAVnawR+DY8z+WS0zLQeOFuNFywCyN3nMWzMPlXY/yX4qPfIjk+AtYu2dtCXVMPZrYlpYXiLxGJMhFy7wgy0pJgblda+npGWjLO7/gNVVpMhLae8qZSArL7hDaf9wntvq5P+KwAfcK0ZOX0CaPyOe69ena30OvNedxb83c/TB9cTann3z8KIz3JqO+Q99mjrlLTgbfhYtib519AbV5ZFcFvRAh5X7DLmjXVgdQ0QNHTNcdGvkViXDgcPGW/F1aOpfD+ecH7hKmf+oSfDVJ5eOMQFv9WEeumN4P//rlIT8v7SpqiMNQF9LQEeP7xs20RIYadWcGK2QIB4OMgqSO8iZD8Q6tmVeoyc0zPmpEpmbr1S9uYiAqvUEfPvn37wsfHBzdv3oSRkREAIDo6Gj179kT//v1x+fJlhQb5ufgYySiYz39d1jUwRXxs3p2/L0mMi0RaShIuHFqNBu2Go1GHMXgSeAlbFg5H3/Hr4eyl2BPthNg88tAvWh4A0KzbBOxfNwl/j6oFoYoqBAIBWvWaBidP+UXOwoiJS0CmSARjA9mTRmMDPbx6X7DRVou37oepkQEq5Ci053TE/xp0NDVRu3zpooabLx1NyX8/n98rMVUs/VtezAyA7nWEUFUB0jKAvQEiRMZJ/vZpjrHqPgKcuSdGWIwYvo4CdKopxOoT+c93/iVxWd8DfUPZz4+eoQniYiLlLYKE+GiIRJnQ++wzp2dggo/vXkif9xk9B2v//R2/964OoYoq1NU10f+3+TC3sv98lQCAy2f3wat0FRiZfHn+1C9JjJd89nX0ZGPU1jNBYnzBRsCJRSJc2DsD1k5+MLV2l77epOd8HN0wCsv/VxFCoSpU1TXRvM9iGJrlP4d7YSRl5aH1eR66pkj6Qh6RH4Kxd3EnZGakQk1dG416LIaxhfx5gpMTo3Hr9DJ4V2yvmMBzyGsfpaNvioQi7KPMrJxgYGKFk7v+RcueU6CmoYXLJzYgLupjkfd98kiPGfqyv07p6psgPrZooyrdS1aDb7l6MDK3RVToaxzfOR9r5wzAkClbIRQq9nLIH2F7/Cjf7++9HxIbF4dMkQhGhrInlEaGBnj99l2h1qmtrQUfDzds3LkXDrY2MDI0xJmLAQgKfgIby6IfG+SJi4uBSJQJA0PZeZENDI3x7u1rucvEREfKbR+bx3EzLS0VW9ctQ5Ua9aCtraOYwHOITkxGpkgMEz3ZwQImetp4kUeR8vbzd9h3LQg7x3TNd90Xgp5j7KajSElPh6meDpYPbAOjz0YHK0p0UookD105eYTnkceL99h34xF2juwg9+9RiUlISkvH2vO3MbRhRYxsUhkBwa8xetMxrO7fCuXkTDOjCMra1wJA064TcGD9JMwZld0/b9lrGhw9FNc/j05KRaZYDBNd2Q6siY4mXkbIn07J0UQfU5pXhZuFERJS07DxShB6rj+GPQNbwkJf8Z/7gkrOOi5o6cpuCy1dUyQn5L8toj4+waHl2X2pel0XwShHX+rqkVkwdygNB++6ig/8M9I+4ed56BWsT7h/SXYeDbsvlskjp+TEaNw+swxeyugTSo97n/WlDEyk35nC+HTcO5913GvcYTSeBF7C5oUj0G/8ejh7Ke678SPR05IUSROSZSvXCSli6GrlXUAt4SSEtYkAyw4V7EoDbQ2gVmlV3HhSxBtpyZGYtT/V0f98X2uCxLiC9wnP7p4BGxc/mOXoE3qVbwZ9Y2voGpgj/F0wLuz/B1GhL9BqwGLFJZBFV1Py752rjpAC6GjmX8w2NwT6NFSV1hF2XMjEp9302wjJFer1yghx5q4IAkj+XygUQE85h3IiQiGL5Hfv3pUpkAOAkZER/vrrL5Qv/+UDWWpqKlJTZa/tSU9Tg5q6/HnH7gQcwv51U6TPe4xZVpiwv0icNUm0d9k6qNa4JwDA2sELr5/ewbWzO4p8cnr38iEcXD9F+rzbaOXkAQBXT23G25B76DpyKQxNrPEy+CYObZoOPSNzuPood1R2QW04cBKnrtzCsokjoaGuJrfNoQtX0LBq+Tz/Xlg+9gI0Kpt90Np5qfBzn0TGA2tPiaChBnjYCtCsghCbz0sK5Z9mHrnzXIz7LyWfr9C7YjiaC1DSSYAL9wv+k/z1i0ewbUX2zUYGj19S6Ji/5PD2JUhKjMOwSSuhq2eEezfOYs283zBq2jrYOLjLtI2O/IhHdy+jz+jCzcP8+OZBnNkxWfq85YAVRYodAM7unoqIj0/RfsRWmdevHF2A1OQ4tBm8Hlq6RggJPI0j60ei/fAtMLX2KNJ7Prl9CBf2ZOfRtPfyQq/L0MwJ7UftQ1pKPEICT+DsjnFoOWhTrkJ5WkoCjq4ZACMLF5RrMLTQ7/fJvcuHcHDDFOnzrqOUs49SUVVDp2GLsH/NBMwYUglCoQqcvSvDrWR1QAGjVO4EHMLetVOkz3v9Wvht8SWlK2ffYM7Kzh2W9h74e3RDPH94XWa0VWH8CNvjR/l+/yj9EGX7Y9QQzF60Am17D4aKUAg3FyfUrV4VwSHKHfmrLBkZGVgwayLEEKPPkN+KOxwAQGJKGv7YehyT29f7YsG7vKsddo7pipjEZOy5eh+/bTyCzSM65SrIF4fE1DT8seM0JretDSMd+Xl8GrVY28cJ3aqXBgB4Wpvh3quP2HU1SGFF8v9qXwsAV09vxpuQe+gyYikMTSX988ObpkPf0Bwuxdg/L2VrjlK25jLP2yzbj923nmBIbeXeEyinZ3cPIWD/FOnzBt0Lvy0MTB3RethepKUk4MWDE/DfNR5N+m2EkYUrXj06iw/Pr6LV0L0KiDq3p7cPwX9v9rGvca+i9QnbjZT0CZ/fP4FzO8ehxcBNuQrlaSkJOL5W0icsW7/ofcI7AYewL8dxr+cY5fSlch73qjfuAUBy3Hv19G7WcY9FcgAo5SxEy6rZpZuNp77+LpoGOkCzSqpYezwdGQWoeWuoAd0bqCE8Rowzt4teJH94/SBObsv+XrQdVPQ+4akdUxHx/ik6j5HtE5aqlv3jq5mNB3QMzLBzQU9Eh7+GkZn8QV8FVcJRgGYVswfCbD1X+H+biDhg+ZEMaKoD3vZCtKqigvWnMhARCySlArsuZqJpBRVU9BRCLAbuvxTjfaRi7m1GuYn5D0soZJHc3d0doaGh8PGRvUFfWFgYXF3l/7Kd08yZMzF1quxNMNr3nYQO/SbLbe/tVwd2riWlzzPT0wAACbGR0DfM7tAlxEbAysGrwHl8TlvPEEIVVZhbu8i8bmbtjFcKuOTcq0wd2Llk55GRIw+9nHnERcDKvvB5pKel4NTu+eg8fCE8StcCAFjae+DD60cIOLZOYUVyQ31dqAiFuW7SGRUbDxND/TyWkth8+DQ2HDyJxf8bBjcH+Sc5dx4/w6v3ofhreG+FxJvT0/divI/K3gl+uqmGjqbsr8A6GgKExuS/sxSJIB0R/jFaDCtjAcq7CXD8lhgJWev6fOBORJwYBl95jlqyXC04umZfGp+RIfn8xMVEwsAo+zLR+JhI2DrKLwjp6hlBKFSRuUknAMTHRkLfUDIyJPzjG1w4vg1/zNsLazvJ99nW0QMhj27D/8QOdOove+Odq+cOQEfPACXL1fq6hLI4+9aBpUMp6fPMrLwS4yOhY5D9vUiKj4SZjfwrDnI6t3saXgSdxy/DN0PPMHv0YkzEa9y7uBndxh2GiZUbAMDMxhPvnt/EvYtbULdD0e527uhdGxb2OfZTWXkkx0dCRz9HHgkRMLXO//utoqoOA1PJ6FczW1+EvXmA+xc3oma77BjTUhJweHVfqGnooFGPxVBRKfoPSZ5l6sA25z4qQ/4+KjEuApZF2EcBgI2jD4ZM34eUpHhkZqRDR98YK6Z1gLVj0W/86u332b72Ux5xEdDP8V1JiIuEtf2XP1Nfw8TcDjp6RogIfV3kIvmPsD1+lO/3j9IP+cRAXx8qQmGum3RGx8TmeVPOgrCxssTCGZORnJKCpKRkmBgbYcrf82FtYVHEiOXT1zeEUKiC2BjZG4PGxkTB0MhY7jKGRiZy2xt8dlXWpwJ5eFgoJs5YqJRR5ABgpKMFFaEg1006I+OTYCqnmP0mMgbvo+IwfM0B6WuirJM6v1/n48C4nrAzNQQAaGuowd7MEPZmhijpaIXmM9Zh/7UH6FNP8T+2GGlrSvJIKGgesXgfHY/hG7LveyDNY/xSHPi1CywNdKEqFMLZXHZbOpkb4W4+U9F8rf9qX5ueloLTu+ej07Ac/XM7D3x8/QiXjq1TWJHcSFsDKgIBIhNkhzVGJqbAtIBXEqipCOFhaYw30XEKiamg7L3qwNxOTl8qIRLaOfpSyQkRMLb6cl9K30TSlzK18UHE2/sIurwJ1VpPxYeQq4iLeoNN0yvKLHN2ywhYOJZF034bi5SHg3dttJPXJ0yQ7RMmx0fA5Cv7hOFvHuD+pY2o0Va2T3h0jaRP2KC7YvqEeR/3IqBvmKMvFRsJK4fC96XyOu6ZWzvjpRKm4PtePXotwpvwNOlzVRXJSCxdLQHic4wm19UU5LoZ5yfWJkLoagkwpGX250NFKICjpQCVvFQweUOatPiqrgr0aKCG1HRgy5l0hUy14lqyDqwc5fQJ4yKha5BzXxsJc9svf6ZO75iG5/fPo+PozdAzyv+KtU/vGxP+qshF8uC3YryNyB6J/+lGqTqaQEKOGV10NIHQ6ILXET5EiWBtIkAlTyEOX5Nsw+cfxFh0IANaGpK2qenAmLaqCHpVpBSIKB+FKpLPnDkTw4cPx5QpU1CpkmRu46tXr2LatGmYPXs24uKyO1T6+rmLpePHj8fo0aNlXjsWmPfBXENLBxpa2ScnYrEYegamCAm6Cuusk9GU5AS8eR6IinU7FiYlAICqqjpsnXwR/vGFzOsRH1/C0LToN6mRl4eugSlCHl6VnlSnJCfg7fNAVKhT+DwyMzOQmZkOgUB2ynmBUAUiURHvFpmDmqoqPJ3scONBMGqVlxx4RCIRbgYF45cGNfNcbuPBU1i3/zgWjh8Kb5e8L4M/eO4yPJ3s4e5gm2ebwkrLANI+m+okIVkywjssqyiurgpYmwC3Q75u3QJkF91jE4H4JDFMPvsaGOsJ8Pzj1/U2NLV0oPnZ50ff0BTBD67BzknSkUhOSsDLZ/dRvaH8yyxV1dRg5+yF4PvXUKpCHQCSbRZ8/xpqNuoEAEhLlRzdhZ99foRCFYg/+/yIxWJcObcfFWs2h4pq4Trk6pq6UNfMvpGKWCyGtr4Z3jy5AnNbyfciNSUBH1/dQ8lqnfJcj1gsxvk90/Es8BTaDd0EAxM7mb9nZM1DJ+97oYhfjeXmoWeGt8+uwNRGkkdaSgLCXgfCp3LeecgjFoukHclP6zm8qg9UVNXRuNdSqKrJvwrna+W1j3r++T4qJBDlaxd+H5WTprZkuqbIjy/x7sUD1G0zvMjrzOuY8SznMSMpAW9CAlGpCMcMeWIiPyIpIUbmBLKwfoTt8aN8v3+UfsgnamqqcHdxwq3AB6heSTJKTyQS4XbgA7Ru0rDI69fS1ISWpibiExJw424gBvToXOR1yqOqpgYnVw88uHcT5SvXACDJ48G9W2jYrK3cZdw8ffDg7i00aZk9yizwzg24e2b/IPSpQP7h/RtMmrkIevrKuRkvAKipqsDL1gLXnr5BnRKuWTmIce3pG3SsVipXeydzY+z+rZvMa0uOXUZiahp+b1ULloZ5z5suEouRVpDhg4WgpqoCLxszXHv2FnV8nCXvJxLj2rO36FilRK72TmZG2D1K9ruy5MQ1SR4tqsPSQBdqqirwsTXHy8+ma3kVEQMrI8XND/9f7Wul/XOhvP2UAvvnKirwsjLB9ZcfUMdTUgwSicW4/uIDOpYvWDEzUyTCs7BoVHNVfB88P+oaOlDXkN0WWnqmeB9yVVpMTktJQPjbQHhW/LptIRaLIcqU9KVK1uwH93LtZP6+b2FLVGw6DvaetYuYRd59wndPr0gHSqSlJCDsTSC8FdAnPLJa0ids2FO5fcJcfams415R+lKfjnsRnx33whV83PvepWVIbu6YTYz4JDGcrYX4ECXZr2uoAbZmAlx7LL/fE/JehAV702Rea1tdFeGxYvgHZkoL5BpqQM+GasjIBDafKtio84KQ973Q0TfD6+ArsLDL6hMmJ+DDy3soXSP/PuGZndPx9O4pdBy1CYamdnm2/STsreQG0jr6Re+fy6sjxCeL4WwpRGi0ZF+uria5AefNJ1+3bxcIJD9cfO7TDVYdLQTQ0QSC3yrumEFEsgpVJG/WrBkAoH379hBkzSfx6SS0efPm0ucCgQCZmbn3qhoaGtDQkD2Aq6kX/IsuEAhQtVF3nD2wHCaWDjA2s8Wp3QuhZ2gO77LZd85ePbMXvMvVQ5X6XQAAqSmJiAzNnqMyOvwt3r96BG0dA+lBuEbT3ti2eAycPMrB2bsingRewuM759HvfxsKHN/X5FGlYXecP7gcJhYOMDKzxZm9kjy8/LLzWDu7F7z96qFSjjyiPsvjw6tH0NI1gKGJNTS1dOHoWR7Hd8yBqrqm5HLOxzdwN+AAGncaq9AcOjeti6nLNsLL2R4+ro7YfuwsklNT0aym5MeTyUs3wNzIEEM6SW7ouOHgSazcdQTTh/aElZkxIrJGsWlrakBbM3vuxISkZJy5dgcjurRRaLz5ufFUjCreAkQliBGbCNTwFSI+WXLn6U861RTiyTsxbj2TvFazhADPP4gRlyQ5GHrbC+BgDmz3z17mWrAY1XwkI9LDYiSXaJnoAfsuF61wIxAIULtpVxzfsxLmlvYwMbfB4R1LYGBkhlLl60jbLZjaF6Uq1EWtxpLORt1m3bFxyQTYu3jD0bUEzh7ZjNTUZFSq3QoAYGnjBDNLe2xdOQ1tuo2Bjp4h7t04i8eBVzBwnOw8bsEPriEy7B2q1JVfjChsXmVqdsf1k8tgaOYAAxNbXD66ADoG5nApkf292LO4B1xK1kfpGpI5Wc/tmorHtw+jRd+lUNfUQWKcZJ47DU09qKprwsjCGYamDjizcxKqtxwLTR1DhASexuvgALTsV/TL/eTlUbJ6d9w6sxwGpo7QN7bB9RMLoa1vDief7DwOrugJJ996KFFVksfVo3Nh71kDuoZWSE9NxNM7h/H++XU067sagORk6NCqPshIS0bdTnOQnpKA9BRJT01T11ih82ALBAJUbtAd5w8th7GlA4xMs/ZRRrL7qHWze8GrbD1Uqid/HxUTIbuPAoAH149DR88YBiZWCH37BEe3zICXX12F3rwsZx7VGnXH2f0rYGrhACNzW5zcvRD6hubwKZs9F+nKGb3gW64eqjSQf8yICn+H968eQUvHAEam1khNScTpvUvhW6EB9AxMERX6Gke3z4WJhT3cS1ZTSh7f+/b4kb7f33s/pH3Lppi5YBk8XZ3h6eaK3YeOIjklFY3rSX7k/uvfJTAzMUb/7pJjR3p6Bl6+eZv1/5mIiIzC0+cvoaWlCVsryQiu67fvQQwx7G2s8fbDRyxfvwX2NtZoUreWQmPPqWmrDlj2719wdvOEq7s3jh7YidSUFNSs1xQAsGTudBibmKJTz0EAgMYt2mPauCE4vHcbypSvgsv+p/H82WP0HyrpH2VkZODfmX/gRcgTjJ30N0QiEWKiJVdf6erqQ1VNsdO/AUC3mn6YuO0EfOzM4Wtvic0X7iA5LR2tKkgK939sPQ5zfV2MaFYNGmqqcLOSnRNYT0vSp/70elJqOlafvoZaPi4w1ddBTGIytgfcQ1hsAuqXdlN4/NI8qpfGxJ1n4GNrDl9bc2y+dA/J6RloVU5S/Phjx2mY6+tgROPKkjwsP7s/yqc8crzeo2YZ/L71BMo6WaO8iw0CnryG/6OXWN2/ldLyUNa+VlNLF44e5XFixxyoqUn65y+U1D/vVskbEw9cgreVCXytTbHl+iMkp2egZSnJDzET9l+EuZ42htctCwBY4X8PJWxMYW+sj/iUNGy48gAfYhPRukz25yU2ORUfYhMRnnXVw6tISR/eVFerwCPUv5ZAIIBPle64e2459E0doGdki1unFkJbzxwO3tnb4ujqXnD0qQfvypJtcePEPNi6V4euoTXSUxMRcu8wPry4jkY9VwEAtPXM5N6sU8fQCnrGiv9hQCAQoES17rh9VtIn1DO2wc2Tkj6hY44+4aGVPeHkUw++WX3Ca8fmws6jBvQMrZCWmohndyV9wqZ9svuER1ZL+oR1Os1BemoC0lOz+oQ6iu8TSo57K2Caddz71JfyztGXWjWzF3zyOe596kvlPu6NzjruVZAe9/r/b73C4v9aKjra0HHNHnGs7WQL/VKeSIuKRcobxV3JUhQBQZmoXUoFkbFiRCeIUc9PBfHJklHnn/RupIaHrzJx9ZEIaRmQDgb7JC0DSEoVS1//VCBXVwV2XUiHhjrwqWqTmAKFTvMhEAhQtk53XDm2DEbmkj7hpUMLoGtgDrdS2d+LHQt6wK1UffjVknwvTm+fikc3D6P1gKVQ09CR3itCQ0sPauqaiA5/jUc3DsHZtya0dAwR/i4YZ3fPhK1r+QKNUC+Ma49EqO4rRGS8GDEJYtQupYL4JODxm+x/sG51VfD4jRg3sgrndUsL8fS9GLGJYmioASUchXC0EGDzmez6WWlnAcLjgKQUMWzNBGhUTgVXH2Xf/4yIFK9QRfJz584pOo6vVqNpX6SlJmPf2slISYqDg7sfev22UmZe88iw10iKzx598u5FEFbN6CF9fmTrbACAX7VW+GXATACAT7n6aNVrMs4fWolDm2bAzMoJXYYvgKNHWaXkUb2JJI8D6yV52Lv5ocevsnlEhb1GYoJsHmtnZedxbJskjzLVWqFtP0keHQbNxcld/2LX8t+QnBgLQ1Nr1G83skgj1OWpX7ksouPisXL3YUTGxMPdwQYLxg2RTrcSGhENoSD719C9py4iPSMD4+avlllP37ZN0L9dU+nzU1duQSwWo2HVcgqNNz9XH4uhpgI0LiuEpjrwJgLY6S9CZo7fbwx1Aa0cv+/oaADNKgqhqym5/CksFtjuL8LL0Ow2N56KoaIC1CstWW9YjKRNTGLRY67fshfSUpKxdcU0JCfFw8WzDIb8sUzm8xMR+haJOb4HZas2QnxcNA7vWIr4mAjYOHpgyB/LpDcAVVFVw+D/LcGBLfOxfPYwpKYkwczSHt2G/Alfv+oy73/lzD44e5SGpY1T0ZPJoVzdfshIS8aZHZOQmhwHa+eyaD1wtczomJjIN0hOzM4rMGAbAGD3ItkRdvU7z4RPxTZQUVFDywErEXBoLg6uHIi0tCQYmtqjYZdZcPLJ+8qHoihdqy/S05JxYfckpKXEwdKxLJr1XSWTR1zka6TkyCM5IQpnt49FYlw41DX1YGLlgWZ9V8POXVKsDH8XhLDX9wAAW2c3kHm/LuNPQ1/BJ3fVm/RFemoyDq7L2ke5+6H7mNz7qJz72vcvgrB2tpx9VNVWaJO1j4qPDcex7bORGBsJXUNTlK7SErVaDlJo7DnVbNYHaanJ2LN2MlKS4uHo7ofev3+exxuZ78rb50FYOaOn9PnhLZI8ylZvhfYDZkAoVMGHN09w69IBpCTGQd/IHG4lqqJBu2FQVVNXSh4/wvb4Ub7f33s/pE71KoiJi8ParbsQFR0DVycHzJk8DsaGhgCAsIgICHOMZoqIikLfUeOkz7fvP4zt+w+jtK8XFvwlmS4vISkJqzZtQ3hEFPT0dFGzcgX07doRqqqF6m4WSJUa9RAXG4Ndm1cjJjoKDs5uGDdtrnS6lYjwUAhy5OHhVQLDfpuCHZtWYvvGFbC0tsWvf8yEnaNk9HNUZDhuXbsEABg7vKfMe02csQg+Jf0UnkOjMh6ITkjG0uNXEBGXBA8bMyzt3xomepJRnB+j42X6Ul+iIhTgRVg0Dt44hJjEFBjqaMLHzgLrhraHq6Xpl1dQSI1KuSE6MRlLT15DRHwSPKxNsbR3M+kc6B9jvi4PAKjr64wJrWti7bnbmH3wIhzNDDG3ayP4OSl3hKmy9rXtB83Fqd3/YteKrP65iTXqtR2psKuBPmno44TopBQsu3AXEQnJ8LAwxtLO9WCSVcz+EJcoHegEAHEpqZh+5AoiEpKhr6kOLysTbOjZGC5mhtI255+8weSDAdLnY/f6AwAG1CiFQTVLKzT+nErW6IuMtGQE7JuMtJQ4WDj4oWGvlTLHjPgo2b5USkIk/HeNQ1K8pC9lbOmORj1XwcZN8T/EF1SprD6h/57sPmGTPl/uE57bMRZJOfqETfushm1WnzAiR59w+2d9ws7jTiu84F+zqaQvtTdHXyr3ce+zvtSLIKzK0ZfKedxrP2AGAMC3XL2s494qHNw0A2ZWjugyfL7Szr8LwqCsLyqf2SR97v3P/wAAbzbuRWCf8cUVloyL9zOhrgq0qqoKTXXgVZgY60/Ijvw21hNA+ws3j8zJ2kQAe3PJ1S5jfpEd1DhnZypiEuQtVXgV6vdDemoyTmydhNSkONi4lEW7oZ/1CcPfIDlHLeTuRUmfcPt82T5h424z4VtZ0id89fgKbp3biPTUJOgZWcG9dANUbjxYscHnEPBQBDVVoHlFFWiqA6/DxNh8NkOmjiDZFtlFcx1NAVpXEUJXS1JHCI0WY/OZTJmrzU30BahbRggtdSAmEbj4QISrjziKnEiZBOJvZHb6vde//y975vefAgCggfrZ4g5BIZY+K/rlksWtvGfB7jz+rXv6XjGXfhan1LRvYldZZNZmP0Ye6qrffx5pGV9XLPpWRcYKv9zoG2dh/GMcwKvo3yvuEBTig8qXL53+1nk92V3cIShGetqX23zjDloU/SaG34LmIbOKOwSFWKQ17suNvnGqqj/G8dvJ6vs/9qlX9S7uEBTi8orA4g5BIZwcvv9zvncfvv6mqN+iyV0Vf+Xbj27ArKgvNyIZK8bJvwfQ96zQQ3uio6OxZs0aPHokmd/J29sbvXr1grHxj/ePRERERERERERERD8ekSLuUEvfvUIN//L394ejoyMWLlyI6OhoREdHY+HChXBycoK/v7+iYyQiIiIiIiIiIiIiUopCjSQfMmQIOnTogGXLlkFFRXJDkMzMTAwePBhDhgzB/fv3FRokEREREREREREREZEyFGok+bNnzzBmzBhpgRwAVFRUMHr0aDx79kxhwRERERERERERERERKVOhiuR+fn7SuchzevToEUqVKlXkoIiIiIiIiIiIiIiI/guFmm5l+PDhGDFiBJ49e4ZKlSoBAK5evYolS5Zg1qxZCAzMvjtzyZIlFRMpEREREREREREREZGCFapI3qlTJwDA77//LvdvAoEAYrEYAoEAmZmZRYuQiIiIiIiIiIiISAnEYnFxh0DfgEIVyV+8eKHoOIiIiIiIiIiIiIiI/nOFKpI7ODgAAB4+fIjXr18jLS1N+jeBQIDmzZsrJjoiIiIiIiIiIiIiIiUqVJH8+fPnaN26Ne7fvy+dWgWQFMgBcIoVIiIiIiIiIiIiIvouCAuz0IgRI+Dk5ISwsDBoa2vjwYMH8Pf3R7ly5XD+/HkFh0hEREREREREREREpByFGkl+5coVnD17FqamphAKhVBRUUG1atUwc+ZMDB8+HHfu3FF0nERERERERERERERECleoInlmZib09PQAAKampnj//j08PDzg4OCA4OBghQZIREREREREREREpAxikbi4Q6BvQKGK5L6+vrh37x6cnJxQsWJF/P3331BXV8fKlSvh7Oys6BiJiIiIiIiIiIiIiJSiUEXyCRMmIDExEQAwbdo0NGvWDNWrV4eJiQl27Nih0ACJiIiIiIiIiIiIiJSlUEXyhg0bSv/f1dUVjx8/RlRUFIyMjCAQCBQWHBERERERERERERGRMhWqSC6PsbGxolZFRERERERERERERPSfEBZ3AERERERERERERERExUVhI8mJiIiIiIiIiIiIvidikbi4Q6BvAEeSExEREREREREREdFPi0VyIiIiIiIiIiIiIvppsUhORERERERERERERD8tFsmJiIiIiIiIiIiI6KfFIjkRERERERERERER/bRUizsAIiIiIiIiIiIiouIgEouLOwT6BnwzRfISJm+KO4QiSxOrF3cICrHpSd3iDkEhRgnmFXcIRRaq3ay4Q1CIisbPijuEIlOL+lDcISjEW/Mf4/utKk4v7hCKLFP4zRyCi8Qq41Zxh1BksfpuxR2CQlyKLVXcISiEj+n3v7+dHtqruENQiNTUzOIOochGez0o7hAUYuLdkcUdgkJMt91R3CEUWYa2fnGHoBDxBnbFHUKRLVkRWNwhKESVASWLOwSFqHBvU3GHUGS6wqfFHYKCdCnuAIi+S5xuhYiIiIiIiIiIiIh+WiySExEREREREREREdFPi0VyIiIiIiIiIiIiIvppsUhORERERERERERERD+tH+OuYURERERERERERERfSSwSF3cI9A3gSHIiIiIiIiIiIiIi+mmxSE5EREREREREREREPy0WyYmIiIiIiIiIiIjop8UiORERERERERERERH9tFgkJyIiIiIiIiIiIqKflmpxB0BERERERERERERUHMRicXGHQN8AjiQnIiIiIiIiIiIiop8Wi+RERERERERERERE9NNikZyIiIiIiIiIiIiIfloskhMRERERERERERHRT4tFciIiIiIiIiIiIiL6aakWdwBERERERERERERExUEkEhd3CPQN4EhyIiIiIiIiIiIiIvppsUhORERERERERERERD8tFsmJiIiIiIiIiIiI6KfFIjkRERERERERERER/bRYJCciIiIiIiIiIiKin5ZqcQdAREREREREREREVBzEInFxh0DfAI4kJyIiIiIiIiIiIqKfFovkRERERERERERERPTTKvR0KyEhIVi3bh1CQkKwYMECmJub49ixY7C3t4ePj48iYwQAHD50EHv37EJ0dBScnJwxYNAQeHh45tn+0kV/bN60HqGhobC2tkHP3n1RvnwF6d+jo6Oxft1q3Ll9C4mJifDxLYEBA4fAxsYmu01UFNauWYU7d28jOSkJtrZ2aN+hE6pWq16oHI4d3of9e7YjJjoKjk6u6DtwONw8vPJsf/nieWzbvAZhoR9hZW2Lbr0GoGz5StK/L5o3E+fOnJBZprRfeUyaPifXutLT0zB21CC8fBGCuQtXwcnFrVA5FJRYLMa144sQdGUXUlPiYOXoh9q/TIahmWOey9wP2Ib7AdsQF/UOAGBi6YryDYfA0auGUmP9ZPvVIGy4dA8RCclwtzTGuGZVUcLW/IvLHQt8hnE7z6K2lwPmd2kofT0pNR3zT17DuUevEJuUAhsjPXSq7Iv2FbyVlsPBw0ewa88+REVHw9nJCUMG9oenh7vcti9fvcbGzVvw9FkIQsPCMLBfH7Rp1TLPdW/fuRtrN2xE65bNMah/P2WlINfOU5ew6eg5RMbGw83OGr91bw1fFwe5bc/eCMS6Q6fxJjQCGRki2FuaokvjWmhardx/GjMAbL94GxvO3kBEXCLcbcwxrm1dlHCw+uJyx24/wrgNh1G7hCvm920NAEjPzMTiI5dw6eFzvI2MhZ6mOip6OGBE85owN9BVdioyDh86iD17diM6OhpOTs4YOGgwPDw85LZ99eolNm/ahGfPniIsLAz9+g9Aq1at/9N4Acl3Y/eevdLvxuCBA/L5brzCxs1b8CzruzGgX99c341DR47iyNFjCA0NBQA4ONijS6eOKF9OeZ+zQ4cOYc/urH93Z2cMGjQon3/3V9i0aROePZX8u/fv3x+tWsv+u9+/fx97du/Gs2fPEBUVhQkTJ6JKlSpKi/+THWevYsOJS4iMTYC7nSXGdmoGX2dbuW3P3ArCmqMX8CYsChmZmbC3MEG3BlXRrHIZaZtJa/fg0OU7MstV8XHDklE9lJrHviMnsH3/IURFx8DV0QHD+/eCl7ur3LYvXr/Buq07ERzyAqFh4RjSpzt+adFUpk1mpgjrt+/CqfMXERUTA1NjYzSqUxPd2reBQCBQWh5isRhn9i7CjfO7kJIUDwe3MmjRczJMLR3zXObF4xu4eHQt3r8MQnxMOLqMWATvsvVk2vzRXX7/plGHX1G9aZ9Cx3v00H7s27Mjqy/lgn6DhsE9n75UwMXz2LppnbQv1b13P5TL0ZcCgDevX2HjupUIuh+IzMxM2Nk7YOwfU2BmbgEA+PDhHdavXo5HQQ+Qnp6OMmXLo/+gYTA0Mi50HnmpW0YF5T1UoKkOvAoT4+DlDETGFezy3xolVdCwnCoCgjJw9FomAEBLHajrpwpXGwEMdQRITAEevsrE6duZSE1XePgAgIbl1VDRSxVaGsCLjyLs9U9DRGzBcqhdRhVNK6nDPzAdBwOyAxzUQgMuNioyba8EpWOPv3KS2HfkOHbsO4io6Bi4ODlgeP/e8HKX33d+8foN1m3ZgSchz7O+3z3RrqXs97tj38EIDQvPtWzLJg0xcmBfpeTwyfe+Pbafu44NpwIkxwxbS4zt2BglnPI4Ztx+iDXHLuJ1eBQyMkWwNzdG9/pV0KxSKWmb0gOmyF12ZJv66NmwqsLjBxTfjz17IxB7zl7G45dvEZuQhC1/joGHg43c9SnSj/S9+BH2tQVhXK0cnMf0gYGfLzStzXGz7WCEHjxTfAF9Zs/RU9i2/yiiYmLh4miHUX27w9vdRW7bgyfP4fj5S3j++i0AwMPFCQO6/CLT/sKVG9h/4iyCQ14iLiEB6+b9CTcn+d81Rdl+/gY2nLyMyLgEuNtaYGyHxijhJP/7eObOI6w5dkl2H1WvMppVKiltU3rgNLnLjmxTDz0bKL+fTvSzK1SR/MKFC2jcuDGqVq0Kf39//PXXXzA3N8e9e/ewZs0a7N69W6FB+l84j9WrVmDI0OHw8PTEgf17MWni/7Bi5RoYGhrlav/oYRD+nj0DPXr2RoUKlXD+/Fn8NX0K5i9cAkdHJ4jFYvw5fQpUVVQwYdJUaGtrY/++PZjwv7FYtmIVNDW1AADz5v6NhMRETJw0FQb6Bjh//ixmz/oL/y5YDBcX+SfCebnkfxbrVi3FgKGj4e7hhcP7d2PaxN+waOUmuTk8fvgA8/6ehq49+6Nc+crwv3Aas/+cgDkLVsLB0VnarkzZChg6cqz0uZqautz337h2BYxNTPHyRchXxV1Yt8+uxj3/TajfeRb0TWxx9dgCHFjeF13GHYGqmobcZXQNLFCl2RgYmjlALBbj8Y39OLJmCDqO2QsTK+UW9Y/fD8E/x65gQovqKGFnji2X72PQ+qM4MLIDTHS18lzuXXQ85h2/hv+zd9/RUVRtAId/2fTeQzrphd57772KVBGkKAiKWABREFERPkBAAQFB6R0Seu+999476ZX03e+PDQmbbCjJxqi8zzl7Djt7Z/IOu3funXfu3KlQ3DnXZxM3H+bYrUf89E59XG0tOXzjAT+tP4CTpRn1gr10vg979u1n1py5fDJoIEGBAawJWcfX345m7uyZ2NrY5CqfkpKCs7MztWvVZNacuS/d9tVr19m4ZQs+3rqP+1W2HTnNL0tCGdG7E6V8PVm6ZR+DJ8xm9YTh2Flb5ipvZWHGB20a4eVSDEMDffafucT3c5ZhZ2VB9TJ5X1jTtS2nrjBx7R6+ebcxpb1cWLznJANmriR0ZB/sLc3zXO9hZCyTQ/ZQwVfzBDA5NZ0r95/Sv2l1Al2diEtKZvyaXXw6Zw1Lv+hZ2LuTZd/evcyZM4dBgwYTGBRISEgI3347ktmz/8Amr9+ZizO1atdmzuxZf1ucL9qzbz+z5/zB4EEfExQYwNqQdYz8dhRzZ/+eZ8wuzs7UqVWLWXP+0LpNRwcHPuj1Pm6urqhQsX3HTr4b+yPTp03Bq7juO+N79+5lzuzZDBo8mKDAzP/3b75h9pw52vchORkXZ2dq16rF7NmztW4zOTkZbx8fmjRpwg8//KDzmLXZeuw8k1ZsZmSPNpTy8WDJjkMMnPIXIT8Mwc4q98Uea3NT+rash5ezg7o+n7vKd3+uxc7SghqlstuFGqX8GdO7Q9Z7I4PCfeTKrv2HmDFvAUMH9CU4wJ9V6zfx5Xc/sXDGL9jaWOcqn5KSgkuxYtStUY3p8xZo3ebSNaGEbt7OiCED8fJw5+qNW4yfNhNzMzM6tm5eaPuyf+MfHN6+iI79xmHn6M721dP463/9+HTcBgyNtLfXqSlJuHgGUrFOB5ZM+0RrmeHT9mm8v3ZuP2vnfkPJyk3yHeuBvbuZN2cmAwYNISAomHUhqxnz7TCmz56fZ19q0vgfeK9XXypVqc6+PTv5eewoJk2bRXEvb0CdAP/6y09p2KQ5XXv0wtTMjPt372BopO5PJScn8d3Ir/D28eX7cZMAWLLwT34cM5Lxk6ejUOjupszapfWpXkKf1fvTiYpX0biCPr2aGjJ1TSrpGS9f181Bj8qB+jyOUmostzTTw9IMthzLICxGiY2FHm1rGGBlpsfS3ek6i/25+uUMqFXagGW7UomKU9K0iiH9Whnzv2XJr9wHD0cF1UsY8ChCqfXzI5fS2XosNet9qu7DB2DX/oPMnDufzwb2JzjAj1XrNvLV6B9ZMHNqnvXb1dmJejWrM33uX1q3+fukcSiV2ft1++59vhg1lno1qxfOTmT6t38fW49fYNKqrYzs1orS3m4s3nmEgdMWETpmkNY2w8rclL4t6mS1GfvOXWP0/BDsLM2pUVJ97rZjwuca6xy4cIMxC0NpVCHvi20FURj92KSUVMoFeNO4ajl+mLuiUOLO6b9UL/4Lx9rXpW9uRty5q9z/azWVVk0vsji02XngCL/9uYQvPupNiQBfVqzfwtDvJ7D0twlaf1OnL16mUe3qlA7yx8jQkMVrNzB0zAQWThuHo736onVSSgplggNoULMq42e8/PxWF7aeuMikVdsY2a0lpb3cWLzrKAN/XUzodx9jZ5X7fM/KzJS+zWvj5WyfeYy6zugFodhZmmUfo8YP1VjnwMUbjFm4jkblC+cYJYTQlK+e/fDhw/nhhx/Yvn07RkbZSdkGDRpw5MgRnQX3XMja1TRt1pzGTZri6Vmcjwd9irGxMdu3bdVafl1oCBUrVqbjO+/i4enJez174evrx4b16wB49PAhV69cZuCgTwgICMTd3YOBH39CamoKe/fsydrO5cuXaN26LYGBQTi7uNCla3fMzc25cf36G+/D+rUradysJQ0bN8fD04sPBw3F2MSEXds2aS2/Yd1qylesQruOXXD3LE639/rg7evP5g1rNcoZGhpia2ef9bKwzN3ZOnXiKGdOHef9PgPeOO78UKlUnNm7gMpNPsKndEMcXANp3G08iXFh3Dq/I8/1vEs1wKtEXWwcvbB18qZ6y88wNDbjyd2zhR7zwoPn6FApiHYVA/F1suWbNrUxMTQg5OTVPNfJUCr5euUuBjSoiLudVa7Pz9x7SuvyAVT2ccXN1pJ3KgcT4GzPhQe5R0zowuq1oTRv1oSmjRtR3NOTTwcNxNjEmK3btP+fBwb4079Pb+rXrYOhoWGe201KSuLn/03is8GDsLD4e0csAyzevJd29arRpk4VfNycGdH7HUyMDVm375jW8pWC/ahfqQzebsVwL+ZA16Z18PNw4cy1239r3Av3nKBDjTK0q1YaX2cHvnm3CSZGhoQcuZDnOhlKJV8v3MCA5jVxt9fsHFqaGjPr43dpWj4Ir2J2lPFyZUTHhly6/5THUXGFvTtZ1q5dQ7NmzWjcpAmensUZNGgwJsbGbMvjeBwQEEifPv2oW7feS39nhWnN2hCaNWuaVTc+yaob27WWDwwIoF+fD6j3krpRrWoVqlSuhJubK+5ubvR+vycmJiZcuZL3MaMg1q5dS7PmzWnSpAmexYszaPBgjI2N2bZtm9byAYGB9Onbl7r18v5/r1y5Mu+//z41ahbOyDltFm0/SIfalWhbqyK+rk6M7NFGXS8OnNRavlKQDw0qlMDH1QkPJ3u6NaqBv3sxTt+4q1HOyMAAB2vLrJeVed4XN3VhZehGWjZpSPNG9fHydGfogL6YGBuxacdureWD/P0Y0LsHDevUzPP7uHDlGrWqVqJ6pQq4FHOiXs1qVC5fhsvXbxTafqhUKg5uXUC9Nh9RomJDnD0D6fThz8THhHH5VN7tdWDZOjR+ZwglKzXOs4yljaPG6/KpXXgHV8XOySPf8YauXUmTZi1o2ETdlxow6DOMjY3ZuW2z1vLrQ9dQoWIV2r/TBQ/P4nTv+QE+vv5sWh+SVWbx/HlUqFSFXn0+xMfXHxcXN6pUq5mVdL986QLhYU/5ZOgwvLx98PL24dPPh3Hj+jXOnz2t9e/mV82S+uw5m8Hle0qeRqtYuS8dS1MI9nx5d93IAN6ta0DIwTSSUjQ/C4tRsXRXOlfuK4mKh1uPVWw/mUGQpwJFIdygULuMITtOpnHxTgaPo1Qs25WKlZkepbz1X7qekQF0a2TEyj2pJKVoH82Zmq4iPomsV2GNzlwZuuGF+u3B0IH9MTE2YvOOXVrLB/n78VHvnjR4Sf22sbbGztY263X4+ElcnYtRtlTh3V0I//7vY+GOw3SoVYF2Ncvj6+rEN91bqduMQ9rrXuVAbxqUD8bHxREPRzu6N6yGv1sxTt+4l1XmxbbCwdqSPWevUDnAG3dH3d8ZAoXTj21ZqxL92jelSkntd8QVhv9SvfgvHGtfV/jWfVwbPYWnoXm36UVl2brNtG5cj5YN6+Dt4caXH/XGxNiYDTv3aS0/+rOBdGjeCH/v4hR3d2XYwL4oVUpOnLuUVaZZvVr07tyeSmV1P7OBNgt3HKZDzQq0q1EOX1dHvunWEhPDlx2jvGhQPuiFY1RV9THq5v2sMg7WFhqvPWevUjnAC3fH3IMBhBC6l68k+fnz52nfPvft8k5OTkRERBQ4qBelpaVx48Z1ypXLvrVaoVBQrlx5rly5rHWdK1cuUa58eY1lFSpWyiqflqbuxb2Y4FcoFBgaGnLpUnYCKzi4BPv37SU+Pg6lUsnevbtJTU2ldJkyvIm0tDRu3rhKmXIVNf5emXIVuXrlktZ1rl25qFEeoHyFKrnKXzh/hl7d2jGo/3vMmj6Z+LhYjc9joqOYMe1/fPrF1xgbax8RpmtxkQ94Fh+OR0D27UDGppYUK16GJ3fOvNY2lMoMrp3aSFrKM1y8yhVOoJnS0jO4/CiCai+M3FUo9Kjm68a5+0/zXG/W7lPYmpvSoZL20cnlPIux98pdnsYlolKpOHbrEXcjYqnup/0W0QLtQ1oa12/coHy5clnLFAoF5cuV5fKVKwXa9q8zf6dK5UpUKF/ulWV1LS09nSt3HlD1hZMAhUJBlZIBnLtx55Xrq1Qqjl28xt3H4ZQP9HlleV1JS8/g8v0nVAvIHlGsUOhRLaA45+48ynO9WVsOYWthRofqr3eMSUhOQU8PLM3+nrqdn+NxUXteNyqUy77VWl03ynFJRwntjIwM9uzdR0pyMsHBur9bIS0tjRvXr1MuR/0uV64cVy7/M//ftUlLT+fy3UdULZF9W6xCoaBqsC/nbt1/yZpqKpWKo5dvcudJBBX9vTQ+O3H1Ng0+G0e7kVP4ceE6YhKe6Tr8LGlp6Vy9eYuKZUtnLVMoFFQsW5pLV9/8IvpzpYICOHnuAvcfqo8RN27f4fylq1StUK6gIecpOvwBCbER+JbMHrVnYmaJu08Z7t3Q3QXqhNgIrp7dS6U6HfO9DXVf6lquvlTZl/Slrl65RJnyFTSWla9YmatXLgKgVCo5cfwIrm4efPfNV7zftQNfDhnIkUMHNP4uoJHkMTIyQk9Pj0sXz+d7f3KytVSPRLz5KHt0YkoaPAhX4en08gxL6+oGXL2v5Oaj15sqwMQIUlJB+XrFX5udpR5W5npcf5A9FDM5Fe6FKSle7OWnHB3qGHH5bgbXH2oftQxQwd+AMb1M+aKzCc2rGmJYCDeMpKWlce3GLSqWy26HFQoFFcqW4eKVazr7G9v37Kd5owaFOpXSv/37SEtP5/K9R1QNzu6/KRQKqgb5cO7Wg1eur24zbnHnaSQV/LXf4RUZl8CB89dpV6u81s8L6t/aj83pv1Qv/gvH2v+CtLR0rt28o5HMVigUVCpTkotXX29wQEpqCukZGVhZ5H2HbmFKS8/g8r3HVA32zlqmUOhRNdj79Y9RVzKPUX6eWstkHaNqFs4xSmhSqVTyesPXf1G+ujM2NjY8fvwYb29vjeWnT5/WmNM7LykpKaSkaF5+TU1JwUhLEjcuTp2gtrHVvHJmY2PLg/vaT6qjo6Nz3XZrY2NDTHQUAO4eHjg6OjH/z3kMGvwpxiYmhIasISIigqioqKx1ho34hvE//0jXzu+gr6+PsbExI78djavrm835Fh8Xq94HG80RCjY2tjy8f0/rOjHRUbnKW9vYZu0DqKdaqVqjDsWcXXjy+CGL5//B2NHDGDdxOvr6+qhUKn795WeatmiDn38QYU8fv1Hc+fUsXj1S2szCXmO5mYUDifEvv4gS8egqq6Z2JT09BUMjM1p+8Bt2zm82tc2bin6WTIZSlWtaFXsLU25HxGhd59SdJ6w9eZUVH+d9wj+8VU2+D9lHkwmLMVDooaenx+h2dajo/eo5qd/U83qSc1oVWxsb7t9/mO/t7t67jxs3bvHblEkFjDB/YuITyVAqc92OamdlyZ1HYXmul/AsieafjCE1PR19hYJh73ekWmntczcXhujEJPVvytJMY7m9pRm3w6K0rnPq5gPWHjnPiq9ebx7llLR0pqzbR/MKwViY/E0XwLKOxzYay21sbLifx/G4qGXFnKNNUNeNV3dgX+b2nTsM+fxLUlNTMTU1ZdQ3Iynuqb2TWxBZ9TtnO2hry/0HBduHv1N0wjN1fc5xi7y9lQV3nuTdNsQ/S6bplxNIS09HoadgRI/WVCuZ3S7UKOVPgwolcHOw5UF4FL+u2c6gKfOZ//WH6OtwKoznYjO/D7sctwLb2lhz70HeF8FepVvHtiQ+S6Lnx0NRKBQolUr69uhM43r5ew7K64iPVf+/W1hrttcW1g4kxOjurqdTB0IwNjGnxEtGnr9KVl8qRz2wtrHlwUv7UrnLR0dHAxAbE0NyUhJrVi6le8/e9Ozdn9MnjzH+x9GM/XkypUqXJTCoBCYmpsyfN5v33u+LChUL/pyDUqkkOlr78Tw/LE3VyZmEJM0TjoRkFRameSduSnsrcLXXY+b617ud38wY6pUz4Pi1V8wpkA+WZuo443PuwzNV1mfalPPTx81BwdTVyXmWOXU9negEFXGJKlzsFbSsZoiTjR7zt6bmuU5+xMbFZ/antNTvh/nvT73owNHjJCQm0qxhPZ1sLy//9u9D3WaosLfM2WaYv7zNSEqmybBJpKVloFDo8XW3llQvkcccx4fPYGZiRMNCmsbg39qPzek/VS/+A8fa/4LY+PjMuqH5m7KzseLuw9frS81YsBwHW9u/bdR4TlnHqBzTqthbvsYxavgv2ceori1ecow6W6jHKCFEbvlKknfp0oVhw4axcuVK9PT0UCqVHDx4kC+++IKePV89N+64ceMYM2aMxrJBgz/lk08/y084b8zAwICR34xi6tTJdOncUT0ir3wFKlaqDC9cDVm0cD6JCQn88NN4rKysOHL4EOPH/cj4CZPxynGBoCjUqtsw69/FvXwo7uXLwL7duHj+DGXKVWTT+jUkJT2jQ6fuhRrH1ZPr2b1idNb71v1+z/e2bJ286fLFWlKT47lxdivblwyn46CFhZ4ofxOJKamMXLWb0e1qY2tukme5pUcucO5BGFN7NMXVxoKTdx7z0/qDOFqaUa0QRpPrWlh4ODNnz+HnH77XuOvi38DMxJglP37Os+RUjl+8zi9LQnFzsqdS8D/nd/SixORURi7axOguTbG1MHtl+bSMDL78ax0qVIx8N/9JJ1Ew7m5uzPh1Ks8Sn7H/4EEmTv6F/40fVyiJ8reZuYkRy0Z9TFJKKkcv32TS8s24O9hSKUg9qq5ZleyRbf7uzvi7O9N6xGROXL1N1WDtJx3/RLsPHGbH3gN8M3Qw3p4e3Lh9h9/mzsc+8wGeunDm0HpC//wu633Pz2fqZLuvcnLfGspWb5XnHOdFRaVSjySsUq0Gbdp3AsDH148rly+yddM6SpUui7W1DV9+PYrff5vCxnVr0dPTo3bdBvj4+aMowGjHsj4K2tbM7oYv2P7mc1VYm0OragbM25L2ynl0AYwNoWcTQ8JjVOw8VfDETXl/fd6pm90/mLsx5SWltbM216NtTSNmr3/5HNlHL2d/+CQqg/hnKj5qY4K9VdprP2zvn2LT9l1UrVgeB3vdTu8h34eaubERy7/5iGcpqRy7cpuJK7fi5mBL5cDc526hB0/TokoZjItoOri8/Nv6sbpQWPXiv3CsFbktXL2enQeO8OvYrzH+l52nmhsbs3zkh9nHqFXbMo9RXrnKhh46Q4sqpTEujFunhBBa5au2/fTTT3z88cd4eHiQkZFBiRIlSE9Pp3v37nzzzTevXH/EiBEMHar5QIL7D55oLWtlZYVCoSAmc9TPczEx0djaaW9EbW1tiYnJWT4GG9vs8n7+Afz62+8kJiaSnp6GtbUNQ4cMxt9ffTvc48eP2LA+lOkzZ1O8uBcAPj6+XLx4gQ0b1jFo8Kev3M/nLK2s1fsQozniKCYmWiOmF9nY2uUqH/uS8gDOLq5YWVnz+PFDypSryPmzp7h25RKd22km0b4c8iF16jfmk6EjXnsfXsa7ZH2KfZGdpMhIV48ieZYQibm1U9byZwkROLq+/CqovoERNo7qWyKdPErx9N4FzuxbQIN3tT/lWRdszUzQV+gRmZCksTwyIQkHLQnL+1FxPIqJ55NF2XMwKzMvrlQYNYfQTzvjaGXGtO3H+aVbE+oEqhNmAc72XH0cyfyD53SeJH9eT6JjYjSWR8fEYJdj1O/run7jJjExsQz8JPvilVKp5PyFi4Su38jGkNXo6798TsuCsrE0R1+hICo2XmN5VFw89ja5599/TqFQ4FHMEYDA4m7cfvSUv9bv/NtOLmzNTdW/qXjNKR8i45/hoOWhnfcjonkUFcsnc9ZkLcv6TX02kdCRffBwUI+GTMvI4Ms/1/E4Ko45gzr/baPI4cXjcYzG8piYGGzt/pnz5GXFnKNNiI6JyTUy+00ZGhri5uoKgL+/H1evXSckdB2fDh5UoO3mlFW/c7aD0dHYFXAf/k62Fmbq+hyXoLE8Mi4Be+u8n3egUCjwLKYe6Rzo6cLtx+HM27wvK0mek7ujHTYWZtwPiyyUJLl15vcRFaM5vVl0TGy+j7cAv/+1mG4d29KwjnqOeB8vT56Eh7N4VYjOkuTB5Rvg4ZvdXqenqdvrhNhIrGyy2+uE2Ahciutm1NKdqyeIeHybLh9PLtB2svpSOepB7Ev6g+q+lJbymfXG0soafX19PDw1p2Jw9yjO5RemUilfoTKz5i0mLjYWhb4+FhYW9OrekWLO+b8z7PI9JffDs0fdGuirE+4WpnoaI38tTPRyPSDuOVd7BRamenzcNjvBp6/Qw8tZj2rB+oyen5o19sPIAN5vYkhKGizemaaT2/8v3clg8tPs0cYGmV0CS1M94p+9sA9menk+/NHdUYGlmR5DOmUPOtBX6OHtqqBmKQOGz05C2928956qt2dvrafTpKy1lWVmf0pL/dbykOQ39SQsnFNnzzFm+JcF3lZO/7XvQ91m6BEZn7PNSMThVW2Gk7rNCPLIbDO2HMiVJD91/S53nkYyvl8nncSrzb+1H5vTv7le/BeOtf9F1paWmXVD8zcVFROH/St+U0tCNrJ4zQamjBmGn1fRDUzJOkbFJWosj4xPxEHLg4WfUyj08HRS91uCPJy5/SSCeVsP5EqSZx+j8j9VnRDizeUrSW5kZMScOXMYNWoU58+fJzExkfLly+Pn93oNt7Gxca75sY2Mo7WWNTQ0xM/Pn7Nnz1C9hvrEUalUcvbMGVq1bqN1naCgEpw5c5q27TpkLTt9+hRBQblP+MzN1Qmrhw8fcuPGdXr0VE91kJKsHn2h0NO8VVuhUGSNPHpdhoaG+PoFcu7MKapWr521D+fOnKRFq9xzuwMEBJXk/NlTtG6X3XE7e/oEgUF5P8gkIiKM+Pg4bG3VHcM+H35C1/f6ZH0eHRXJ999+yefDR+MfqLtbdoxMLDAyyW4IVCoVZpaO3L92GEc39d9JTU7g6d1zlK7R9c02rlJmJd0Li6GBPsGuDhy99ZAGJbwAUCpVHL31iC5Vc9++5e1gw6rB72gsm77jOIkpaXzVsgbO1uakpGeQnqHM9aAWhZ4eykLoLRkaGuLv58eZM2epWb1a5j4oOXPmHG1atczXNsuXLcOs6b9qLJs0ZSoe7u68+07HQk+QAxgaGBDk5c6xS9epV0k9/69SqeT4xeu827jWa29HqVKRmvb3PVne0ECfYA9njl67S4My/uoYlCqOXrtLl9oVcpX3LmbPqmG9NJZN33SAxORUvurQAGcb9YNhnyfI74XH8MfgztgU8sMJc3p+PD5z9gzVa6ifOaD+nZ2hVevWf2ssr+t53Th95hw1qqvnXVbHfDbfdSMvKpUqa/5iXTI0NMTP35+zZ85QI8f/e+s22tvBfyJDAwOCi7ty9PIt6pdXt2VKpZJjV27RuX7V196O6hX1+WlULLGJSThY552AKAhDQwMCfX04de48tatVBtT7cfLcBdq3aJrv7aakpqDI0WjoKxQ6ne/P2NQcY9PsC3UqlQoLawduXTqCa2ZSPDkpgQe3zlG1YRed/M0Te1fj6lUSF8+Czdev7ksFcO7sKarVUB//1X2pU7Ro3U7rOoFBJTh35hRt2mW32WdOnyAwqGTWNv0CAnn4QHO6qEcP7+PoVCzX9qwybws/d+YUsTExVKlWI1eZ15WaDlEaeTMV8c9U+LgqeBylHnlobAjujnocvaL9N3DzkZKpazT7SB1rGxAeq2LfuYyspI2xIfRqakh6Biza/nojIV9HShqkpGnGFpeowt9dn0eR6Vl/29NJweGL2uvsjYcZTFyuOUihc30jwqJV7D6TpjUhC+DqoO6fxyfqtk9laGhIgJ8Pp86ep1a1KoD6d3bq3Hnat2xW4O1v2bEbG2trqlfO3RcoqP/a92FoYECwpyvHLt+mQTn18el5m9GlfpXX3o5SpSI1Pff+rj14ihKeLgR6OOss5pz+rf3YnP7N9eK/cKz9LzI0NCDA14uT5y5Rp2olILMvdf4iHZrnfZfs4rUbWLBqHZNGfUWQX9HN0w+Z53ueLhy7cpsG5dR9HKVSxbErt+lSr/Jrb0ddv3P/WNYePKM+RrkX3jFKCJFbvu/bmDt3Lr/88gvXr6sfUuXv78+QIUPo27evzoJ7rl37jvwy+X/4+/sTEBBEaOgaklOSadRYfTI6aeIE7O3t6dVbnRBu07Ydw4d9wZo1q6hcuQr79u7hxvVrGqO/D+zfh5W1NU6OTty5c5vZs2ZSrVoNKlRQH6TdPTxwcXXlt1+n8EHf/lhZWXH48CHOnD7FqO/GvvE+tG7fiV8nj8PPPxD/gGDWh64iJTmZBo2bAzB10k/Y2zvQo1d/AFq16ci3wz8ldM1yKlauxoF9u7h54yofDf4cgKSkZ6xYMp9qNetga2vHk8ePWDBvFs4ubpSvqD4o5zzBMzVVJ9ScnV1xcHCisOjp6VGubk9ObP8dG0cvrOzcOLJ5GuZWTviUbpRVbu2MXviUbkTZ2j0AOLRhEsWD62Bp60JqciLXTm3gwc1jtP3wj0KL9bn3apbh29V7KOnqSCl3RxYdOk9SahrtKqrvLBi5ajdOVuZ82qQKxoYG+BfTHLVmmTma9/lyQwN9Knm5MHnLUYwNDHDJnG5lw5nrfNG8OoWhY/u2/G/yFPz9/QgKCGBN6DqSk5Np2lg9Lc+ESb9gb29Hn17qC0FpaWncu6dODKSlpxMRGcXNm7cwMTXBzdUVMzMzvL00R9eZmJhgZWWZa3lh6t68Lt/NXkoJbw9K+niyZOteklJSaV1H3Ukf9fsSnGytGNS5FQB/rttBsLcH7sUcSEtL5+DZy2w6eIIRvd552Z/RuffqVeLbxZso6elMKU8XFu09of5NVS0FwMhFG3GytuTT1nXUvylXR431LU0zf1OZy9MyMvhi3jouP3jKr/07oFQqicgckWttZoqhQeFftABo374DkydPzDweBxIaupbklGQaN24CwKSJ/8s8Hn+gjjstjXv31PMFp6enExkZwc2bNzE1NcU1cxR2YevQvh0TJ/9CgL8fgQEBrA0NJTk5mSaN1cejCZMm42Bvzwd51I3IyEiNugEw76/5VK5UEUdHR5KSkti9Zy/nzp/nx7FjtAdRQO3bt2fypEnq//fAQEJDQkhJSaFxY/WJxMSJE7G3t6d3794v7MOL/++Ruf7fk5KSePQoe97Hp0+fcvPmTSwtLXFyKpw2okfjmoyat5oSxV0p5e3Okh2HSEpJpW1N9cMYv5m7CicbKz7pqP49zd20l5LF3XB3siM1LZ0D56+x8cgZRnRXXxx4lpzCrPW7aVihJA7WFtwPj2Lqyq14ONlRo6R/oewDQKe2LRk3dQaBfr4E+/uyav0mkpNTaN6oHgA//fIbDvZ29O/ZDVA/oOpO5hz46WnpRERGc/3WHUxNTXB3UZ/8VK9ckYUr1+Lk6ICXhzs3bt1hRehGWjSqX2j7oaenR82mPdkd+jv2xYpj6+jOjtXTsLRxIrhCdns99+felKjYiOqN1dO3pSQnEvk0ex7w6PAHPLp7GTNza2wcsut1clICF45tpXm3r3QSb9v2nZg6+efMvlQQ60NXk5ySTMPG6iTNlInjsLd34L3e/QBo3bYDI4d9RsiaFVSqXI39e3dx8/o1Bmb2pQDad+zMxJ/HUrJ0GUqXKc+pk8c4fvQwP4z/JavMzm2bcfcsjpW1NVcvX2LurOm0bvcObu66HcF28GIG9cvqExmrIjpBRaMK+sQnqUdCPvdBM0Mu3c3gyGUlqekQFqOZ1ElNh2cpqqzlz5M2Rgawcm8axkbwfJhKYjJ5Jj3za/+5NBpWNCQ8VkVUnJJmVQyJe6biwu3sBMCHrY25cDuDgxfSSUmDJ1E59iENElNUWcvtrfQo76/P5bsZPEsBF3sFbWoYcvNRBo+jdD/woFPbVvw8ZToBfr4EB/ixat1GkpNTaNZQXRd/+uVXHO3s6Pe+uj6kpaVx93n9Tk8nIiqSG7duY2pigptr9t0GSqWSLTt307RB3b9loAH8+7+P9xpV59u/1lLCy5VSXm4s3nmEpNQ02tZQP8Tumz/XqNuM9urj1dzN+ylR3BUPR1tS0zM4cOE6G4+c4+vumhfFE5KS2X7yEp+/00Sn8WpTGP3Y2IREnkTGEB6tHoV797F6fnN7a0scMgdW6Np/qV78F461r0vf3AzzFx4KaebtjlXZIFKjYkm+//c8rywvXdo058dpswny9SbY34cVG7aSlJxCy4Z1ABg79Xcc7Wz56L3OACxas4G5S1czeuhAXJwciMy8s9XUxAQzU/XdL3HxCTyNiCQiSj0A895D9T7a2VhjX4C7/fKiPkaFqPu1Xq4s3nU08xhVDoBv/gzBycaST9qrz8fnbjlACU8XPBztSE1P58CFG+pjVLcWGttNSEph+6lLfP6OTKsp3k5RUVEMHjyY9evXo1Ao6NixI1OnTsXCIu+7NAAOHz7MyJEjOXr0KPr6+pQrV46tW7dm5UJfR76S5KNGjWLy5MkMHjyY6pkj8w4fPsxnn33GvXv3+P573U6NUaduPWLjYlm0cAHR0dH4+Pjw/fc/Zt0uGx4epjH6KrhESb78agQLF/zFgr/+xNXNlZHffoeXV/ZtdlFRkfwx53f1NAG2djRo2IguXbPn7jYwMOC7MT8y/8+5jB0ziqSkJFxc3fhs6JdUrvz6oxeeq1WnAXGxMSxd9Ccx0VF4+/jx7fcTsqZPiQh/qjG3ZVCJUnz25bcsWTiXxfP/wMXNjWHf/EBxL/UVU4VCn7t3brF751aeJSZga2dPufKV6freBxgaFv28XBUa9CUtNYndK0aRkhSHi3dF2nw4BwPD7DsIYiPukZyYfQdBUkIU2xcPIzEuHGNTS+xdAmn74R94BtYs9HiblfYlOjGJGTtPEJHwjEAXe2a83wL7zOlWnsQkvPHco+M7N2TqtmOMWLmLuKQUXGwsGNS4Mp2qFM6DN+rVqU1sbCwLFi3Jqic/fv9dVj0JCw/XeFp8ZFQUAz4ZkvV+1Zq1rFqzljKlSzHx558KJcb8aFKtPNHxCfy+eguRsXEEeLrx65f9sc8cJfokMlrju0lKSWX8/NWERcVgbGSIl0sxxn7UnSbV/t6ngjerEER0wjNmbDpIRFwige5OzPjonayHuzyJjn+j31RYTAJ7Lqif9v7uhPkan/0xqDOV/f+e2w3r1K2beTxe+MLx+AeN47HeC8fjqKhIPhn8cdb7NatXs2b1akqXLs3P4//3t8ScXTcWv1A3xrwQc7jGdxEZFcXAT7Ivqr5YN/738zgAYmJi+d+kX4iKisLM3BxvLy9+HDuGiuUL53dWt25d4mJjWbhoEdFRUfj4+vL92LHZ+xAWprEPUVFRDB6UPe3L6tWrWZ35/z5+wgQArl+/zvBhw7LKzJk9G4BGjRox9PPsJKIuNa1SmuiERGaG7iQyLoFADxemD3k/a7qVJ5ExGvuRnJLKT4vXExYdi7GhIV4uDvzQpxNNq6hH5CkUCq4/eML6Q6eJf5aMo40l1Uv6MbBtI4wKcf7GBrVrEBMXx59LVhAVHYOftxcTRo/Iuu38aUQkei88NDQiKop+n2X/Xy8PWc/ykPWULVWCqT+qn+nxab/ezF2ynCm/zyU6NhYHOztaN23E+50L9wJf7ZZ9SU1JIuTP0SQ/i6O4fwV6fTFbY/7wqLB7PIvPbq8f3r7I3HHZDxnetGQ8AOVrteOd/uOylp87sglQUbaabu7aqFW3PrFxMSxd+CfR0dF4+/gy+vvxWX0p9fEn+/89qEQphn41ksUL5rHor7m4urkx/NvvKf5Cf7Bajdp8NOgzVq9Ywh+//4aruwfDRo6hRMnS2fv78D4L5/9BQnw8Tk7OvNO5O23a6/572X8+AyMDaFfTABMjuBum4q+tmqMR7Sz1MDN5/bbD1V4PTyf1/8nnnTTv4vzfihRiErStlX+7z6RjZKjHO3WNMDWC20+UzNmQorEP9lZ6mL/BPqRngL+7PrXLqBNQMQkqzt/KYMdJ3d+5A9Cgdk1iY+P4a8lyoqJj8PXxYvx3I7OmUwoLj8jRZkTTb0j2haDla9ezfK26fk/5KfvC6cmz53kaHkHzRg0KJW5t/u3fR9PKpdRtxrrdRMQlEOjuzIxPemCfOZXB46hYjb5tUkoqPy3dSFh0HMaGBng5O/DjBx1oWrmUxna3HL8AKhXNqpSmsBVGP3bfqYuMmbMs6/3X0xcC0K99Ez7sUPCR3dr8l+rFf+FY+7qsK5ai+s6FWe9LTPwagPsL1nCuj26mXs2vhrWqERMXzx/LVhMVHYuftyeTRn2Z9WD0p+GRGr+pkC07SUtP55sJ0zS207tze/p0Uc8gcOD4KX76dU7WZ6MnTc9VRpeaVipJdHwiM9fvyTxGFWPG4G6vOEZtJizmxWNUe5pW0rx7fcuJzGNUjmOXKFwq5ZvNGCEKT/fu3Xn8+DHbt28nLS2N3r17079/f5YsWZLnOocPH6ZZs2aMGDGCX3/9FQMDA86ePYtCochzHW30VPm4j9fR0ZFp06bRtavm1BlLly5l8ODBRETk/TTfvFy/efeN1/mnSVUVfXJaF3Zf+2/c0tM3sWDzn/4TPC3fqqhD0Am7qBtFHUKBGUYV7WgLXXng3/DVhf4FDFSFkxz5O2Uo/hsP4XF5eLKoQyiwWMfCG3X+dzoYW+bVhf4FSjr8+4+3i/Y6FHUIOpGS8u+fL2Bog39/HwRg8q7/xkMbxwaHFnUIBZZuVjijtf9u8dYeRR1CgU0/GFjUIehEjQ//G+13lbMLX13oH87i6fWiDkEnTOt3f3UhoaHrV/deXUhoWDpB9wP1Ll++TIkSJTh+/DiVKqln+tiyZQstWrTgwYMHed6NXq1aNRo3bszYsW8+88eL3iylniktLS0r2BdVrFiRdC1zvgkhhBBCCCGEEEIIIYT490tJSSEuLk7jlZKSUqBtHj58GBsbG42cc6NGjVAoFBw9elTrOmFhYRw9ehQnJydq1KhBsWLFqFu3LgcOHHjjv5+vJPl7773HzJkzcy2fPXs23bvLFSshhBBCCCGEEEIIIYT4Lxo3bhzW1tYar3Hjxr16xZd48uRJrudjGRgYYGdnx5MnT7Suc+vWLQC+++47+vXrx5YtW6hQoQINGzbMeo7m6yrQgzu3bdtGtWrVADh69Cj37t2jZ8+eDB06NKvc5Mn//ikvhBBCCCGEEEIIIYQQQsCIESM08r8AxsbGWssOHz6c8ePHv3R7ly9fzlccysz55D/88EN69+4NQPny5dm5cyfz5s17o8R9vpLkFy5coEKFCgDcvHkTAAcHBxwcHLhw4UJWOb03fNChEEIIIYQQQgghhBBCiH8uY2PjPJPiOX3++ef06tXrpWV8fHxwdnYmLCxMY3l6ejpRUVE4O2t/fqKLiwsAJUqU0FgeHBzMvXtvNtd8vpLku3fvzs9qQgghhBBCCCGEEEII8Y+hVKqKOoT/NEdHRxwdHV9Zrnr16sTExHDy5EkqVqwIwK5du1AqlVStWlXrOl5eXri6unL16lWN5deuXaN58+ZvFGe+5iQXQgghhBBCCCGEEEIIIXQhODiYZs2a0a9fP44dO8bBgwcZNGgQXbp0wdXVFYCHDx8SFBTEsWPHAPUsJl9++SXTpk1j1apV3Lhxg2+//ZYrV67Qp0+fN/r7+Z6TXAghhBBCCCGEEEIIIYTQhcWLFzNo0CAaNmyIQqGgY8eOTJs2LevztLQ0rl69yrNnz7KWDRkyhOTkZD777DOioqIoW7Ys27dvx9fX943+tiTJhRBCCCGEEEIIIYQQQhQpOzs7lixZkufnXl5eqFS5p8cZPnw4w4cPL9DflulWhBBCCCGEEEIIIYQQQry1JEkuhBBCCCGEEEIIIYQQ4q0l060IIYQQQgghhBBCCCHeStqm7xBvHxlJLoQQQgghhBBCCCGEEOKtJUlyIYQQQgghhBBCCCGEEG8tSZILIYQQQgghhBBCCCGEeGtJklwIIYQQQgghhBBCCCHEW0uS5EIIIYQQQgghhBBCCCHeWgZFHYAQQgghhBBCCCGEEEIUBZVSVdQhiH8AGUkuhBBCCCGEEEIIIYQQ4q0lSXIhhBBCCCGEEEIIIYQQby1JkgshhBBCCCGEEEIIIYR4a0mSXAghhBBCCCGEEEIIIcRbS5LkQgghhBBCCCGEEEIIId5aBkUdgBBCCCGEEEIIIYQQQhQFlVJV1CGIfwAZSS6EEEIIIYQQQgghhBDirSVJciGEEEIIIYQQQgghhBBvrX/MdCspKuOiDqHAHNMeFnUIOmFu6lLUIehEup1/UYdQYEl65kUdgk4kWrkWdQgFZpmRVtQh6IRZenxRh6ATUfpORR1CgVkqY4s6BJ1QRIcVdQgFZmzz32j3niX/N8Y+GJNc1CEU2J3rEUUdgk4YGOoXdQgFFqlfrKhD0InEhNSiDkEnVPr/mNPPfEuwcivqEHTiv9CX8i7+788hAFQ5u7CoQ9CJY2XfK+oQCqzevvFFHYIQogj9N86mhBBCCCGEEEIIIYQQQoh8kCS5EEIIIYQQQgghhBBCiLfWv/9+NyGEEEIIIYQQQgghhMgHpUpZ1CGIfwAZSS6EEEIIIYQQQgghhBDirSVJciGEEEIIIYQQQgghhBBvLUmSCyGEEEIIIYQQQgghhHhrSZJcCCGEEEIIIYQQQgghxFtLkuRCCCGEEEIIIYQQQggh3loGRR2AEEIIIYQQQgghhBBCFAWVUlXUIYh/ABlJLoQQQgghhBBCCCGEEOKtJUlyIYQQQgghhBBCCCGEEG8tSZILIYQQQgghhBBCCCGEeGtJklwIIYQQQgghhBBCCCHEW0uS5EIIIYQQQgghhBBCCCHeWgZFHYAQQgghhBBCCCGEEEIUBZVSVdQhiH8AGUkuhBBCCCGEEEIIIYQQ4q0lSXIhhBBCCCGEEEIIIYQQby1JkgshhBBCCCGEEEIIIYR4a0mSXAghhBBCCCGEEEIIIcRbq0BJ8tTUVK5evUp6erqu4hFCCCGEEEIIIYQQQggh/jb5SpI/e/aMPn36YGZmRsmSJbl37x4AgwcP5ueff9ZpgEIIIYQQQgghhBBCCFEYVCqVvN7w9V+UryT5iBEjOHv2LHv27MHExCRreaNGjVi+fLnOghNCCCGEEEIIIYQQQgghCpNBflYKCQlh+fLlVKtWDT09vazlJUuW5ObNmzoLTgghhBBCCCGEEEIIIYQoTPkaSR4eHo6Tk1Ou5YmJiRpJcyGEEEIIIYQQQgghhBDinyxfI8krVarExo0bGTx4MEBWYvyPP/6gevXquovuBZs3rCV09TJioqPw8valz0ef4h8YnGf5Q/t3s3TRPMKfPsHF1Y0evT+iYuVqWZ//Onkce3Zu0VinXIUqfDv2f1nvx40ZwZ3bN4iNicHcwoIy5SryXu+PsLN30P0OZlqzaRvL1m4gKiYWXy9PPu33PiUC/LSWXb9tF1t37+fWvfsABPp6069H5zzLFyaVSsX+9dM4e2AlKUlxuPlWoGnX77Ar5pXnOoe3zOLq6W1EPbmFgZEJbj7lqdf+C+ydfbRuf+Vv/bh1cT8dPppOQLlGOt+HFTsOsmDzXiJj4/H3cOGrHu0o5eupteyuE+eZt34X98MiSE/PwNPZgR7N6tKyZkUA0tIzmLl6CwfOXeFhWCQWZqZULeHH4Hdb4GhrrbOYN64PIWT1CqIz60X/AYMJCAzKs/zB/XtZvPBPwp4+wdXVnZ4f9KNS5apZn7dt0VDreu9/0J8O73QGoF+vboSFPdX4/L1efXnn3a462CO1tRu3sixkPVHRmfWgf2+C8/hd3753n3lLVnLt5i2ehEUwqE9POrVpoVHm2bMk5i5Zwf4jx4mOjcXf24vB/XoR7O+rs5i1Wb7jEAs27yMyNp4ATxe+6tGWUj4eWsvuPHGBeRt2cf9pJOkZGXgWc6BHszq0qlkhq8zva7ez7ehZnkTFYGhgQLCXGx93bErpPH6nurB24xaWr11HVHQMvt7F+aT/BwQH+Gste/veff5cvJxrN2/xNCycj/v04p22LTXKdOk7kKdh4bnWbduiKUM+6quTmIuivVi1bCGnjh/m9u0bGBgYsnDFRp3sy4vWbdjIytVriYqOxsfbm48/6k9QYIDWsnfu3mPBosVcv3GTp2FhfNSvDx3atc1z28tWrGLe/AW0b9uaAf376Tx2jb918Czz954iIv4ZAS4ODG9Xl9Kezq9cb/OZawxfvIX6JX2Y0quV1jJjV+9i1ZELfNmmNj1ql9d16BpWbd7F4nVbiIqJxa+4B0P7dKOkf+72CyB0+1427z3MrfsPAQj0Kc5H3TrkWX78rAWEbN/Lp7260KVV40LbB1C3r/vWTeP0fnX77e5bgebdX95+H9w8i6unthGZ2X67+5SnQUfN9nvTwlHcvnyIhNgwjIzNcPMtT4MOX+Dgovvj7vr161m1ejXRmXVjwIABBAYGai179+5dFi5cyPUbNwgLC6N///60b9dOo8zy5cs5eOgQDx48wMjIiBLBwXzwwQe4u7vrPPacOjaypH5lc8xNFVy7m8K8kBieRmbkWb5DQ0s6NrLSWPYoLI0vfwnLem9toaBbC2tK+RljYqzH4/B0QnfHc/xicqHsQ/sGFtSraIqZiYLr91KZvz6Op1F570O7+ha0r2+huQ/h6Yz4NUJjma+HIe80tMDX3RClEu49Sed/C6JISy9YvJs3rGFdZptRPKvNKJFn+UP7d7Ns0VyNNqNCZe3nP7N+m8j2zevo1W8Qrdq9m7X85zHDc5xjVKJHIZ1jtKppQq0yRpga63HrUTpLtiURHqPMs3zLGia0qmmisexJZAZj5sVnva9VxojKwUZ4FNPH1FiPodNiSUopnLlJl+86wvytB4iMTSDAw5lhXVtRykd7Xdx58iJzN+3lflhUZl/Knvea1KRV9ez2YNS81aw/dFpjvRol/Zn+2fuFEj+82K+Nwc+rOJ+8ol/755IVXL15O7Mv1ZNObTT7UhkZSv5atpLte/YTFRODg50dzRrU5b13O+h0wJqu+1MvmvXbJLZtXkfvfoNo1a4TABfOnWb0iCFay4//5Xf8AvL+229CpVJxcMM0zh1Ut3uuPhVo0vU7bJ288lznyJZZXD+zjcintzA0NMHVpzx123+BXbHsdm/ZL+9x//oxjfXK1upMk27f6yTuF63etJ2lIZsycwYefNa3JyUCtLev67btZsueA9y69wBQ5ww+7N5Jo/zew8cJ2bqLqzfvEJeQwJ+Tf8Dfu7jO484Pu1qV8Pm8D9YVSmHi6sSJjgN5um5nUYeVRZfne2npGcxYs5WD567yICwSCzMTqpbw55NOzXG0tdK6TSGEbuUrSf7TTz/RvHlzLl26RHp6OlOnTuXSpUscOnSIvXv36jpGDu7bxV9zpvPhoKH4B5ZgQ8hKxn77Bb/OXoS1jW2u8lcuXeCXCWPp3qsflSpXZ//enUz4YST/mzoHT6/shqx8xSp8PGR41ntDQyON7ZQqU56OnXtgY2dPVEQEC+bOYOJPo/hp0gyd7yPAzgOHmT5vEZ8P+IASAX6sXLeZL8b8zOLpk7C1yZ1YPX3hEg1r1+DTIH+MjAxZsmY9X3z3M/N/nYCjvV2hxJiXo9vmcHL3Qlq+/zM2Du7sWzeV5b/2od/oTRgYGmtd5961Y1So2x0Xr9IolRnsC5nM8ml96Dt6I0bGZhplj++cDxTeXQrbjp5h8tL1fP1+R0r5erJk634GTfyDNeO/ws7KIld5K3MzPmjdAG9XJwz09dl/9jJj/liBrZUFNUoHkpyaypW7D+nbphEBni7EJybxv8WhfDblLxaN+VQnMe/fu5t5c35nwKAhBAQFsT5kDd99O4wZs//CRku9uHzpIhPH/8B7vfpSuUo19u3Zxbixo5g87XeKe3kD8NeilRrrnDxxjN+mTqRGzdoay7v16EWTZtkddlMzU53sE8Cu/YeYPm8hQwf0VdeD9Zv44rtxLJoxWWs9SE5JxbWYE/VqVOO3eQu0bnPCb7O4fe8BIz/7GHs7W7bv2c/no35g/m+TCq2ubD16lsnLNvD1++0p7ePJ4m0H+HjiXNb+/IXW35S1uSl9WjfAy8URQwMD9p+5zJi5K7GzMqdGaXWyp7izA8Pea4ubox0paWks3nqAjyf+Qej4r7DVss2C2rX/IDPnzuezgf0JDvBj1bqNfDX6RxbMnKr1u0hJScHV2Yl6Naszfe5fWrf5+6RxKJXZJ+e3797ni1FjqVdTNxdYi6q9SE9Po3qtegQEl2Tntk062ZcX7dm3n1lz5vLJoIEEBQawJmQdX387mrmzZ2JrY5OrfEpKCs7OztSuVZNZc+a+dNtXr11n45Yt+Hh76TzunLacucbE9fv5pmMDSnsWY/H+Mwz4I5TQr97D3sIsz/UeRsUxecN+Kni75llm5/mbnL/7BEcr88IIXcOOg8eYNn85X/V/j5L+PizfuJ3PfviFZdN+xM4690nMqYtXaVyrCqUD/TAyMmRRyGaGjJ3M4l/G4mSv+bvcc/QUF6/fwsHOptD3A+Dw1jkc37WQ1r3V7ffe0KksndqHD8e8vP2uWL87rl6lUWZksHvtZJZM6cOHY7Lbb+fiJSlVtTVWdi4kJcayf/2vLJ3Sh4/H7USh0NdZ/Hv37mX2nDkMHjSIwKAgQkJC+Obbb5kzezY2WupGckoKzi4u1Kpdm9mzZ2vd5vkLF2jdqhUBAQFkZGTw1/z5jBw5klmzZmk8i0fXWtWxoGkNC2atjCYsOp1Oja0Y/oEDX/3y9KWJ4PtP0hg3NzuhnJEj/zngXVvMTBRMWhBJfKKSmuXM+KSbHd/8Fs7dx2k63YcWtcxpXNWMOWtjiYjOoEMDC77oacvXv0W8dB8ePE1jwvzoF/ZBM+Hq62HIF+/ZsmF/Ios2xpOhVOHpbEhBnxl1cN9O5s+ZTv9Bn+MfWIKNISv54dsvmDZ7cR5txnmmTPie7r36U7Fydfbv3cGEH0YyYeofGm0GwNFD+7h+5ZLWxHfJMhXo0Pk9bO3siYwIzzzH+JafJs0s2A7l0KSKMfUrGDN/cyKRsUpa1zTlk07mjJkXT3re1y14FJ7B1JUJWe9z/qaMDPW4eDuNi7fTaF9Xd33AnLYeO8+kFZsZ2aMNpXw8WLLjEAOn/EXID0Py7Ev1bVkPL2cHDA302X/uKt/9uRY7SwtqlMq+wF+jlD9jenfI3h+DfJ0Sv5Zd+w8xY94Chg7oS3CAP6vWb+LL735i4Yxf8uxLuRQrRt0a1ZieR7926ZpQQjdvZ8SQgXh5uHP1xi3GT5uJuZkZHVs310nchdWfAnXduKalbgQGl+KPhWs0li1bNJdzZ07h65/3IKA3dWz7HE7tWUjznj9jbe/OwQ1TWflrHz4YlXe7d//GMcrX7Y5zcfV56/7Qyaz8tQ+9v9U8by1T811qtvok672hke7rx84DR/jtzyV88VFvSgT4smL9FoZ+P4Glv03QnjO4eJlGtatTOsgfI0NDFq/dwNAxE1g4bVzWeVBSSgplggNoULMq42e8vN/4d9M3NyPu3FXu/7WaSqumF3U4GnR9vpedQ2hAgIcrcYnPmLhkPUOm/sXi7z7REoEQQtfyNd1KrVq1OHPmDOnp6ZQuXZpt27bh5OTE4cOHqVixoq5jZP3aFTRq1ooGjVvg4enFh4M+x9jEJM9ExMZ1qyhfsQrtOnbF3dOLru/1wds3gM0b1mqUMzA0wtbOPutlYWmp8Xnr9u8SEFQSJydngkqUon2n7ly7qr4wUBhWhG6iVZP6tGhYDy8Pdz4f0AcTY2M27tR+4WHU0EG0b9EYfx8viru78dXH/VGqVJw8d6FQ4suLSqXi+M4F1Gg+gIByjXByD6JV7wkkxIRx7cyOPNfr/MlcytTogKOrP8Xcg2j5/s/ERT3iyb2LGuWe3r/M8R3zaNHzp0Lbh0Vb9tG+blXa1KmMj1sxvu7VARMjQ0L3HdNavlKwLw0qlcbbtRgexRzo1qQ2fh4unLl2GwBLM1NmfNWfJlXL4uXiRGm/4gx7rz2X7zzgcWS01m2+qdC1q2jSrAWNmjTD09OLAYOGYGxszI5tW7SWXx+6hgoVK9Phnc54eBane8/e+Pj6s3F9SFYZWzs7jdexIwcpXaYczi6aiSlTMzONciYmuusArgjdSKsmDWjRqB5enu58PqAvJsZGbNqxR2v5YH9fBvTuQcM6NTAyzH2Sk5KSyr7Dx/ioVzfKlgzG3cWZ3l074ebiTOjm7TqLO6fFW/fTvm4V2tZW/6ZGvt8+8zd1XGv5SsG+NKhYCh/XYng42dOtSS38PZw5c+1OVpnm1ctTtaQ/7k72+Lo5M7RrKxKSUrj24Emh7MPK0A20bNKQ5o3q4+XpwdCB/TExNmLzjl1aywf5+/FR7540qFMTQ0NDrWVsrK2xs7XNeh0+fhJX52KULZX3qL03UVTtRZceH9C6/bt4Ftc+MrigVq8NpXmzJjRt3Ijinp58OmggxibGbN2m/RgbGOBP/z69qV+3Tp7fBUBSUhI//28Snw0ehIWF7i+05LRw32k6VC1Fu8ol8C1mzzcdGmBiaEDIsUt5rpOhVPL1kq0MaFINdzvtd+I8jU3g59A9/NStKYb6+eravJGl67fRplEdWjWohbeHK1/1fw9jYyM27DqgtfyYIf3p2KwBAd6eeLm5MOKjXihVKk6cv6xRLiwymslzl/Ddp/0w0NddIjkvKpWKYzsWUKvlAALLNaKYexBtek8gPiaMq6fzbr+7fjqXss/bb48gWvfObL/vZrffFep0xjOgMjYO7rgUL0nddkOIi35MbMRDne7D2rVrad6sGU2aNKG4pyeDBw3C2NiYbdu2aS0fGBBA3z59qFe3bp5144exY2ncuDHFixfHx8eHoUOHEhYezvXr13Uae07NaloQsjuek5eTuf8knZkrorGx1KdiiZe3sUqlitgEZdYr4ZlmRtPf04hthxO49SCN8OgMQnbHk5iswtst72NDfjWtbsb6fQmcvpLC/afpzF4Ti42lPhWCXn5xIUNJjn3QzH53a2bJ9iPP2Lg/kYfh6TyJzODYxeSXJnpfR842o39mm7Frm/a7gTatW0W5ilVom9Vm9M1sMzQTe5ER4cz9fSqffvkt+vq5+ybPzzEcnZwJKlGa9p26c70QzjEaVDRm85Fkzt1I52G4kr82JWJtoaCc/8u/+wwVxCWqsl6JSZrfx66TKWw7lsLtxwX8Al5h0faDdKhdiba1KuLr6sTIHm0wMTIk5MBJreUrBfnQoEIJfFyd1H2pRjXwdy/G6Rt3NcoZGRjgYG2Z9bIyL7xE/8rQjS/0pdwZmtWv3a21fJC/X2a/Nu++1IUr16hVtRLVK1XApZgT9WpWo3L5Mly+fkNncRdWfyoyIpw/fp/Gp19+k6tuGBoaavS1LK2sOXbkIA0aN9fZCHmVSsXJXQuo1mwA/mXV560t3p9AQmwY18/m3e51GjSXUtU74ODqj5N7EM17qtu9pznOWw2NTLCwdsx6GZvqvm+1bN1mWjeuR8uGdfD2cOPLj3pjYmzMhp37tJYf/dlAOjRvhL93cYq7uzJsYF+UKiUnzmX3vZrVq0Xvzu2pVLakzuMtqPCt+7g2egpPQ/P+foqKrs/3LM1MmfllP5pUKYuXiyNl/IozrEdbLt95qLMcgsibUqmU1xu+/ovyfSbp6+vLnDlzOHbsGJcuXWLRokWULl1al7EBkJaWxs0b1yhTLjv5rlAoKFOuIteuXNS6zrUrFzXKA5SrUJmrOcpfPH+G3t3aMrh/D2ZNn0R8XGyeccTHx7Fvz3YCg0thUAijDdLS0rl28zaVypTKWqZQKKhYthQXr77eSVlKagrpGelY/Q2JjhfFRjwgMS4cr+AaWctMTC1x9S7Lw1unX7KmppQk9W2cpmbZSZC01CTWzf2cxl1GYWHtqLugX5CWns6VOw+pUjJ7hIlCoaBKSX/O5+hUa6NSqTh28Tp3H4dRITDvBFlCUhJ6enpY6mDU9fN6UbZc9lQcCoWCsuUqcPWK9mTT1SuXKFtes16Ur1gpz/Ix0VGcOH6URk1yj0hZvXIpPTq3Y8igD1mzajkZGbo5SXpeDyqWzT6WqOtBaS5evZavbWZkZJChVGKU40TD2MiI85evFCjevKSlp3P5zkOqltD8TVUt6ce5m/deub5KpeLopRvceRxOhUDvPP/Gmj1HsTA1IcDDRWexZ20/LY1rN25RsVyZrGUKhYIKZctw8Ur+vgttf2P7nv00b9RAJyc//5T2QtfS0tK4fuMG5cuVy1qmUCgoX64sl68U7Df868zfqVK5EhXKl3tl2YJKS8/g8sMwqvln34KqUOhRzd+Dc3cf57nerO3HsLUwpUMV7SduSqWKkUu30atuRfyc7XUed05paelcvXWXymWyb/tWKBRULl2CC1df7+HlyakppGdkYGWRPepdqVTy/a9/0L1tU3w83HQetzYx2tpvM0vc8tl+m5hrv4iRmvKMcwfXYOPgjpXdq6fWeV3P60a5HHWjXLlyBa4bL3qWmAiAZY6LY7rkaKuPrZU+F2+kZC1LSlFx834q/p5GL1kTijkY8NsIZ375shgDO9tib615geX6vVSqlTHD3FQPPT2oVsYUQwO4fDsljy3mfx9sLPW5eDNVYx9uPUzDz+PlSVlne32mfOHI/4Y48GFHa+yss09RLM0V+HkYEZeo5Ju+dkz7ypERH9jh71mwJH9aWhq3blyjTLlKWcsUCgWly1XM1QY8p73NqKLRxiiVSn6d9ANtO3bBo7j2NvxF8fFx7C+EcwwHawXWFgqu3M1OvCenwu3HGXi7vvzvONkoGDfAirH9LOnd0gxby7//mVNp6elcvvuIqiWyp4RQKBRUDfbl3K37r1xfpVJx9PJN7jyJoKK/l8ZnJ67epsFn42g3cgo/LlxHTMIzXYcPZLYXN29p7ddees3zO21KBQVw8twF7j98BMCN23c4f+kqVSuUK2jIQOH1p5RKJdMm/Ujbjl3wfI26cfzoQRLi42jQWDej4wFiI9XtXvGg7HbP2NQSF6+yPNJBu3fp+Hp++7Iqf45txb6QSaSlJukm8Ezqc6U7GslshUJBpTIluXj19S6SpGjpg4g393ec7wEkJCXrLIcghHi1fPfElEolNzLnc8x5BaFOnToFDuy5+LhYlMqMXNNHWNvY8vC+9oNPTHRUrtvAbGxsiYmOynpfvmIVqtWog5OzM08eP2LJ/Dn8MPorfpo4A/0XRm8tnPc7mzesJSUlmYCgEnw9+med7duLYuPjyVAqc90iZWdtzb0Hj15rG7/PX4qDrS0Vy5Z6dWEdSohTzy9sbqWZnDC3tCcxLkLbKrmolEp2rPwJd98KOLplz7G7c+U43HzLF8oc5M/FxCeSoVRib615ccHe2oI7j8PyWAvinyXRfMgPpKano69QMLxne6qV0j4/cEpqGtOWb6JptXJYmBb8Vu24uFiUSiU2trl/5w/uaz9xiImOylWPbGxsiX6hXrxo145tmJqaUT3HVCut2rTHx88fS0tLLl+6xML5fxAdFUmf/gMLsEdqsXFxWuuBrY019x7kb/ShmZkpJQP9WbBiDcXd3bC1sWHn/oNcvHoNN2fdJWteFBP/jAylErscvyk7K0vuPM49H/dz8c+SaPbZT6Slp6PQUzC8Z7tcv6l9Zy4zYuYSklPTcLC2ZOaXfbG11H0nNzYuHmVe38VD3YwEPXD0OAmJiTRrWE8n2yvq9qKwxMXFZX4XNhrLbW1suH8//9/F7r37uHHjFr9NmVTACF9PdGISGUpVrmlV7C3MuB2mfXTMqduPWHv8Iis+65bndv/ccwJ9hR7dapXVabx5iclsr3NOq2JnY8Xdh3kn+180Y9EqHG1tqFwm+w6KhSGb0VcoeLdF4bV3OSU+b78tc7TfVvYkvEH7vX25uv12ctM8Xp3Ys5hdqyeSlvIM+2LedBvyJ/oGL0/4vomsupGjLbS1scmzLXxTSqWSWbNmUaJECby8vHSyTW1sLNXHktgEzYvOsQkZ2FjmPabl5v1UZq2M5nFEOjaW+nRoaMmoDx0YNiWM5FT16N9pS6IY3NWO2aNcSc9QkZqmYsqiqJfOdZ4f1haKzJg1zwviEjKyPtPm1oNU5qxN40lEBtaWCtrVs2BkH3tG/hZBcqoKJ1v1/037+hYs2xrP3cdp1CpnyrBedoz8LeKl852/zPM2I3cbYPfSNsPGRnOaNuscbUbIqiUo9PVp0eadl/79hfNmsiXrHKMkI3R8jmFlrk5sxyVqfh/xicqsz7S58zidBZszeBqdgZW5gpY1TPi8qyVj/4wjRbez87xUdEJmXyrHlAX2VhbceZL38Sn+WTJNv5yQ1Zca0aM11Upmz/9do5Q/DSqUwM3BlgfhUfy6ZjuDpsxn/tcfoq/Q7Z1IsZnHKDut/drXO7/TplvHtiQ+S6Lnx0NRKBQolUr69uhM43q1X73yayis/lTIqiXo6+vTsk3H14pj57aNlK1QGXsHpzfcg7wlxuZx3mr1Zuetu1b9hJtvBRxds9u94MqtsLJzxcLaifCHV9kbMpGop7dp9+FvOos/NqsPkiNnYGPF3Yev95uasWA5Dra2/8hR4/8mhXm+91xKahpTV2ymWdWyOskhCCFeLV9J8iNHjtCtWzfu3r2LKsdkgHp6eq8cVZqSkkJKiuboldSUFIyMtc8BVhhq1c1+QGFxL1+Ke/nycd+uXDx/RuMqeNuOXWjYtCXhYU9YsWQ+0yb9xNff/azTh6LowqLV69h54DDTfvgWYyPdnYBqc/HoOrYsGZ31vtPHswq8zW3LxhD+8Do9vlyStez62Z3cvXKE3iPXvmTNomNuYszSsZ/xLDmFY5duMHnpetwc7akUrPnQlLT0DIZPX4QKGPF+B+0b+wfasX0Ldes3xCjH76lth05Z//by9sXQ0IAZv/5Cz959c83T/E8x8rOPGf/rLDp+MBB9hQJ/X28a1q7J1Zu3ijo0DeYmxiz9/lOSklMzf1MbcHe00/hNVQ72Zen3nxITn8javccYNmMxC0YN0jrv3T/dpu27qFqxPA5/8zMU3tTrthf/JmHh4cycPYeff/g+Vx3/p0hMTmXk0m2MfqchtnncCn/pQRiL959l2ZAu/7h2OS8L1m5i+8FjzPjuK4yN1CNhr9y8w4pNO/hrwqhC3Y8LR9exaVF2+915UMHb7y1LxxD+6Do9v1qS67NSVdrgE1yThNhwjmyby5rZQ3h/2NI853z9J5o+YwZ37t5l4sSJOt1ujXKm9Glnk/X+f/Mj87Wds9ey+9P3n6Rz834qU4c5U7WMKXtPqEfHvtPYCjNTBT/9EUF8YgaVSpoyuKsdY2eFc/9p/qf3qF7GhF6tsy8WTV6cv1vBz13PHnl+/yncehDNpKGOVCllwr5TSTyvErtPPGP/afWozCVb4inhY0SdCqas3JGgbbNF4ub1q2wKXcWEaX+8si637diVhk1bER72hJVL/uLXST8y4rvx+T4GVA42pFuT7IuQM1bn7//l4u3s38TDcCV3Hify44dWVAwy4tD51Jes+c9gbmLEslEfk5SSytHLN5m0fDPuDrZUClLf7dmsSvYdcv7uzvi7O9N6xGROXL1N1Rx9+H+q3QcOs2PvAb4ZOhhvTw9u3L7Db3PnY5/5AM9/opvXr7IxdDX/mzbntX7jkRFhnD11nKHDvyvQ3710bB3blma3ex0HFLzd2758DBGPrtPtc812r2ytzln/dnQLxNzakRVTexEdfg9bR88C/11dWLh6PTsPHOHXsV8Xes5AaPc653ugziEMm7EYUDHi/fZFE6wQb6F8Jck/+ugjKlWqxMaNG3FxcXnjzty4ceMYM2aMxrIBgz9n4Cdf5CpraWWNQqFPTIxmxzs2JhobW+2JFRtbO2JzlI95SXkAZxdXrKysefL4oUbSw8raBitrG1zdPHD3KE7/9ztx7cpFAoN1O1rb2tISfYWC6BjNW/ijYmOxs7V56bpLQzawZPU6Jn//Nb5ehd8A+5VtwAfe2SP20tPVHebEuEgsrLOv9CfGR+Lk/uqHrGxb+j03zu+h++eLsLLNHtl79+oRoiPu8cvQyhrl184ajLtfJbp/vrCAe6JmY2mOvkJBZKzmyURkbAIO1nnfWq1QKPAopn7gTGBxN24/CuPPDbs0Gjh1gnwhjyOj+X34hzq7AmxlZY1CoSAmOvfv3NYu73qRsx7FxERjq6VeXLxwjocP7vPl8G9fGUtAYDAZGRk8ffoUd3ftT/J+XdZWVlrrQXTMq+vBy7i5ODPtp9EkJSfz7FkS9na2fDdhCq7FihUo3rzYWJqhr1AQleM3FRUXj/0rflOeWb8pV24/DmPext0avylTYyM8izngWcyBMn7FaTtsAiH7jvNBq/o63QdrK0sUeX0XWh6G96aehIVz6uw5xgz/ssDbeq6o24vCYmVllfldxGgsj46JyXe9uH7jJjExsQz85LOsZUqlkvMXLhK6fiMbQ1brfJS8rbkp+go9InPc1h6Z8AwHy9wP7bwfGcuj6Dg++XN9doyZF+YrDPuV0C/f49Tth0QlPqPZT39mlclQqpi0/gCL959h89e9dboPADaZ7XVUbJzG8qiYOOy1PDDrRYtDt7Bw7SamjfoCP6/s4+WZy9eJjo2n/UdfZS3LUCr5dcFylm/cztqZE3QSu3/ZBvR9of3OeN5+x0diafNC+x0XSTGPV7ffW5Z8z/Vze+j5pWb7/ZyJmSUmZpbYFfPCzacsk4ZU4erp7ZSs0koHe/NC3cjRFkbHxOTZFr6JGTNmcOzYMf43YQKODrkfvlgQpy4lc/N+9t1qBvrqvrS1hT4x8dkjf60t9N/o4ZrPklU8jkjH2V7dxXey06dpDQu++uUpD8PUyc97T+IJ9DKicXUL5oXE5HsfTl9J4eaD7OS+YdY+KDRGk1tZ6HPvDffhSWQGxezUx6Dn/x+PwjQT+o/C07Gzzv9x6nmbkbsNiHppmxETo3kH3ottzOWLZ4mNjeajXtkDCpTKDBbMncHG0FXM/HNF1vKc5xgfvv9Ogc4xzt1I487j+Kz3Bpn/NVbmCuISswcwWZoreBD2+qPvk1JUPI3KwNGm8J/38CJbi8y+VFyO/nlcQq67P1+k7kupRwkHerpw+3E48zbvy0qS5+TuaIeNhRn3wyJ1niS3zjxGRem4X/v7X4vp1rEtDevUBMDHy5Mn4eEsXhWikyR5YfSnLl88R2xsNB/2ejfrc6Uyg/lzZ7AhdBW//7lcY91d2zdjYWlF5ao1C7QvfmUa4OKlpd3Led4a93rnrTuWf8+t83voMnQRllravRc9/7sx4Xd1liS3zuqD5MgZxMRh/4r++ZKQjSxes4EpY4bh9zfkDP7rCvN8Ly09g+EzFvM4MoZZw/rJKHIh/kb5SpJfv36dVatW4efn9+rCWowYMYKhQ4dqLLtxX/voE0NDQ3z9Ajh/5iRVq6tvIVMqlZw7c4rmrbRfUQsIKsm5sydp1S67g3ru9AkCg/K+pSgyIoz4+DhsbfOez1SpVJ+cp6Xp/l5DQ0MDAny9OXnuIrWrVc78e0pOnbtI+xZN8lxvyZr1LFwVwsTRwwnyK5wHxuVkbGKBsUl251SlUmFu5cidK4cp5qGeozUlKYFHt89Svk7XPLejUqnYvmws185sp9vQhdg4aCZYqzXtT9manTSWzR3bmoadRuBXRncJQUMDA4K83Dh+6Qb1K6pPTJRKJccv3eDdRjVesXY2lUpF2gsPXHqeIL//NIJZwz/CRofzvj2vF+fOnqZajVpZMZ87c5oWrdtpXScwqATnzpyiTbvsWxzPnD5JYFDuBybu2LYZX78AvH1efbJw69YNFAoFNtY2+dqXF2XXgws56sEF2rdoWuDtm5qYYGpiQnxCAsfPnOPD9/OewqEgDA0MCPZy49ilG9SvqD7uKJVKjl26QeeGr/+bUqpUpKW9/ERWpVSRmqb7hwkbGhoS4OfDqbPnqVWtijoepZJT587TvmWzAm9/y47d2FhbU71yhVcXfk3/pPZClwwNDfH38+PMmbPUrF4NUO/XmTPnaNOqZb62Wb5sGWZN/1Vj2aQpU/Fwd+fddzoWyjQyhgb6BLs5cfTGfRqUUh9blEoVR2/cp0uN3FOleDvZsurz7hrLpm85TGJKKl+1rYuzjSWtKgRR1V/zRG/AnBBaVQyiXSXdPAw2134YGhDoU5wT5y9Tt0qFzP1QcuL8Zd5p3iDP9RaFbOavNRuZ8s1nBPt5aXzWvG51jTnOAYb88AvN61SnZf1aOos9z/b78mGcX2i/H94+S4W6L2+/ty4dy9Uz23nv89ztt/Z11Os9v7CuC1l14+xZatRQH1vVdeMMbVq3zvd2VSoVM2fO5NDhw4z/+WecC2FqruRUFck5pjuJjsugpK9xVlLc1FgPXw8jdhxNfO3tGhvpUczOgIPx6otRxobqxHWOGz9RKqGgNy0kp6pIzjHVSUx8BiV8jLj3RN0umRjr4eNmyK5jrz/ns7GRHk62+hzKTI5HxGQQHZeBs4PmaYuzgwHnrud/XnVDQ0N8MtuMKi+0Gedf0WacP3uKVu2yE31nTx8nILPNqNugqcYc5wA/jPqCOvWbUL9xizxj0cU5RkoahMdoTq0Sm6Ak0NMgKyluYgTeLvrsP/P6/2/GhuBoo+DYpb/3AV2GBgYEF3fl6OVb1C+vPp4rlUqOXblF5/pVX3s7KtXL+0lPo2KJTUx66cCY/DI0NCDQ14dT585r9GtPFrBfm5KagkKhWYH1FYpcd3jnV2H0p+o2aJJrYMHYUV9Sp36TXHOOq1Qqdm3fTL0GTQs8T7+RiQVGWtq9e1c1z1sf3zlLuVect+5cMZbrZ7bT5bPXa/fCHqgfzm1upbvnaqnPlbw4ee4SdaqqjzVKpZKT5y/SoXnjPNdbvHYDC1atY9Kor/62nMF/XWGd7z1PkN97GsHsYf11mkMQQrxavlqdqlWrcuPGjXwnyY2NjTHOMbWKkXHenefW7d/l18nj8PUPwj8giA2hq0hJTspqUKdN+hE7e0d69OoPQMs27zBq+CesW7OcCpWrcXDfLm7euMpHg9Uj1ZOSnrFiyXyq16yDja0dTx4/YuG833F2caNcRXUH5tqVS9y4foXgEqUxt7Tk6eNHLF04F2cXNwKDC2f+rnfbtmDc1N8J9PMh2N+Xles3k5ScTIuG6hEBP06ZgYO9HR++1wWAxWvWMW/JKr4dOghnJ0cio2MAdSLQ7G+82qinp0flhj05tHkmdk7FsXZwZ/+6qVjYOGnMJb70l/cJKNeYivV7ALBt6RguHd9AxwEzMDIxJyFzjjhjU0uNJ4PnZGXn+lodkzfRo1kdRs9ZTrC3O6V8PFiydT9JKam0qa3+PYyatRRHW2sGv6s+wZm3fhclvN1xd7InLT2dA2evsPHQSUb0VE+nkpaewbDfFnDl7kOmfPYBGUolETHqUYfWFmYY6uDBTG3bv8PUyePx8w/APyCI9aGrSU5JplFjdaf7l4k/Y2/vQM/efQFo3bYDI4d9RsiaFVSqXI39e3dz8/o1Ph6secHq2bNEDu7fR+++H+X6m1cuX+Ta1SuULlMOU1NTrly5xLzZM6lbvyEWOnqg2bttWzJu6kyC/HwI8vdj1fpNJCWn0LxRZj34ZTqO9nb076nuyKalpXPn/oPMf2cQERnF9Vt3MDU1wd1Fndg4duosKlR4urny4PETfv9rMZ5urrTQ0VzY2nRvWpvRc1ZQwtudkj7uLNl2gKSUNNrUVndov529HCdbKwZ3Uh/H5m3YTQkvN9yd7ElNT+fg2atsOnSKET3VJyNJKan8sX4XdcsF42BjRUxCIit2HiYsOo7GVXT/0GSATm1b8fOU6QT4+RIc4MeqdRtJTk6hWUP1RaqffvkVRzs7+r2vTmSmpaVxN/O7SE9PJyIqkhu3bmNqYoKba/bDRZVKJVt27qZpg7o6T8YWRXsBEB72lIT4OCLCn6JUZnD7pvqBXM6ubpia5h4l/aY6tm/L/yZPwd/fj6CAANaEriM5OZmmjdVTwUyY9Av29nb06fU+oP4u7t1Tz8mclp5ORGQUN2/ewsTUBDdXV8zMzPD2Kq7xN0xMTLCyssy1XJfeq1Oeb5dvp6R7MUp5FGPR/jMkpabTrrI6ATJy6TacrM35tEVNjA0N8M/xIE5LE3Xf4flyGwNTbHJMxWKor8DB0gwvJ825UXWpa+smjP1tLkG+XpT082bZxh0kp6TQqr56xNuYaX/gaG/LwO7qi5IL125izvJQxgzph4ujA5HR6hFgpibGmJmaYG1pgbWl5shIA3197GysKe5WOM9OAHX7XaVRTw5uUrffNg7u7A2diqWNE4Hls9vvxZPV7XflBur2e8uSMVw8toFOA7W339Hh97l0YhM+JWpiZmFHfMwTDm2ejaGRCX6ldDsVQPv27Zk0eTL+/v4EBgQQEhpKSkoKjRurkwUTJ07E3t6e3r3VdxWo64Z6Tt309HQiIyO5efMmpqamuLq6AuopVvbs2cOoUaMwNTUlKko9ctjc3DxX/1WXthxMoF0DS55EphMelc47ja2Iic/g5KXsB7+N6GPPiUvJbD+sTpx3a27FqSvJRERnYGulT8dGliiVKg6dVa/zKDydJxHp9Glvw+JNsSQ8U1KphCml/IyZuCB/U7y8zNbDz2hT14KnkRmER2fQoaEFMfEZnLqSnFXmq162nLqUwo7MxHmXppacvppMZIwSG0sF7RtYoFTBkfPZ+73pYCLt61tw70ka956kU6ucKS4OBvy2LKZA8bZu/y6/TR6Hr38gfgHBbAxdSUpyUlZCe9qkH7G3d6B7rw8BaNHmHUYP/4R1a5ZRsXJ1Duzbya0bV/losPquKEsrayytNO8o0dc3wMbWDjd39QW9a1cucfP6ZYJKlMHC0pInjx+yrJDOMXadTKFFdWPCozOIiFXSupYpsQlKzlzPTsZ/+q45Z66nsfe0+gJWh3omnL+RRmScChsLPVrVNEGpguOXs9exMtfDylyBU+bocjcHBclpEBWn5FmybhK1AD0a12TUvNWUKO5KKW93luw4RFJKKm1rqpOt38xdhZONFZ90VA8omrtpLyWLu+HuZEdqWjoHzl9j45EzjOjeBoBnySnMWr+bhhVK4mBtwf3wKKau3IqHkx01SvrnGUdBdGrbknFTZxDo50uwvy+r1m8iOTmF5o3qAfDTL7/hYG9H/57qgRsv9mvT09KJiIzO1a+tXrkiC1euxcnRAS8Pd27cusOK0I20aKS7QUS67k/lVTdsX6gbz50/e4qwp49p2DR/AwFeRk9Pj4oNenJ480xsnYpjbe/OgfVTsbB2wr9sdru3fOr7+JdtTIV66nZvx7IxXD6xgfYfzsDQWFu7d4/Lx9fjU6oupuY2hD+8yq5V43D3q/xaI9TfRJc2zflx2myCfL0J9vdhxYatJCWn0LKh+rlwY6f+jqOdLR+9p57+ZdGaDcxduprRQwfi4uSgNWcQF5/A04hIIqLUAxfvZT5jxc7GGvsC3PWgC/rmZpj7Zf9GzLzdsSobRGpULMn3X+9ZMIVF1+d7aekZfDV9EVfuPmTqkF5kKFVExKjvELK2MNVJDkHkTaXUXfsl/r3yVcsGDx7M559/zpMnTyhdujSGhppPly9Tpkwea+ZPzToNiI2NYdmiecRER+Ht48c33/8v6/atiPAw9PSybwEMKlGKIV9+y9KFc1k8fw4ubu589c2PeHqpr5oqFPrcvXOTPTu38CwxAVs7B8qWr0TX9/pkzalsbGLM0UP7WL74T1KSk7G1s6NcxSq807lnoc273LBWdWJi45i3dBVR0TH4eRdn4ujhWQ97eRoeqbGfoZt3kJaezqgJUzS206tzBz7o+vKHBela1Sb9SE1JYsviUSQ/i8PdryKdB/+hMe9odPh9niVk3zFwet9SAJZMfk9jWy16jqNMjb937u4mVcsRHZfI72u2EhkbT4CnK79+0TfrVqknUTHovTBiIzkllZ8XrCUsKgZjI0O8XJz44cOuNKlaDoDw6Fj2nr4EQNdvf9H4W7OGf5RrzrH8qF23PnFxsSxZ+BfR0dF4+/gy+vufNerFi6NMgkuU5POvRrJowTwW/jUPVzc3Rnz7PcW9NJ+mvX/vblSoqFMvd0fb0NCQ/Xt3s2zxfNLS0nAq5kybdh1p20F3v7cGtWsQExfHvCUrs+rB/0YPz5riIywiQmO/IqKi6PvZ8Kz3y0I2sCxkA+VKBTP1R/UchAnPnjFn4VLCI6KwtLSgbvUq9O3RpcCjU16madWyRMcnMnPtNiJj4wn0dOW3zz/I/k1FxqB4YRhfUkoq4xaGEBYVm/mbcmRs/y40raoeYavQ0+PO4zA2HDhJTEIi1hZmlPT2YO7XH+FbSEm0BrVrEhsbx19LlhMVHYOvjxfjvxuZdYtwWHiExj5ERkXTb0j2dBHL165n+dr1lC1Vgik/ZU+xdfLseZ6GR9C8Ud6jbvOrKNoLgGWL5rFn55as9198or44NWbcFEqVKV/g/apXpzaxsbEsWLSE6OhofHx8+PH777IeWBgWHq4x9VlkVBQDPhmS9X7VmrWsWrOWMqVLMfHnnwocT341KxdAdGISM7YeISI+kUBXR2b0bYt95nQrT2LiNX5T/1SNalYhOi6eP5aFEBkTh7+XB7+M/Cy7vY6I0jhOrdm2h7T0dL6eOFNjO306taFv57Z/a+w5VW/aj7SUJDYtUrffHn4V6fJp7vY76YX2+9Redfu9aJJm+92q1zjK1uiAgaER96+f4PiO+SQ9i8Pcyh5P/0q8P2xproelFVTdunWJjYtj0cKFREVH4+vjw9jvv9esGy88jC8qKopBgwdnvV+9ejWrV6+mdOnSTBg/HoCNGzcCMGzYMI2/NfSzz7KS74Vhw74EjI306NPeBjMTBdfupjD+z0heHARbzN4AS7Ps/bGz1mdQFzsszBTEJyq5eieF0TPDic98WGOGEib8FUGXZtZ80dMeY2M9nkZmMGtVNGev5n8Udl42HUjE2EiPXm2sMDNRcP1eKhMXRmvsg5OtARbm2QlXWysFA96xydqHa/dSGTs7kvhn2Ser2w4/w9BAj27NrbAw1ePek3QmzI8iLLpgDx+tWachcS+0GV4+foz8fuILbcZTjWNSUInSfPrlKJYt/IMlWtqM16H9HKMqHQvhHGPbsRSMDPXo1tQMM2M9bj5M59dViaS/8N/maKOPhWn2AlsLBR+0NsfcRI+EJBU3H6QzYXECCUnZ30ftssa0qpk9IOfzbuq+zfxNzzhyUXd3izStUprohERmhu4kMi6BQA8Xpg95P2u6lZx9qeSUVH5avJ6w6FiMDQ3xcnHghz6daJo5mEChUHD9wRPWHzpN/LNkHG0sqV7Sj4FtG2FkWDh9wuf92j+XrMjs13oxYfSIrH7t04hIjWNURFQU/T7LPvYsD1nP8hB1X+p5v/bTfr2Zu2Q5U36fS3RsLA52drRu2oj3O+uuP67r/tSb2LltI4HBpXD3KJyL9lUaq9u9rUtGkfIsDjffirwzSLPdi8nR7p3Zr273lk3RbPeavzeOUtU7oK9vyN0rhzm5ewFpKc+wtHUhoFwTqjcfqPP4G9aqRkxcPH8sW01UdCx+3p5MGvWlRs7gxXoRsmUnaenpfDNhmsZ2enduT58u6nPuA8dP8dOvc7I+Gz1peq4yRcW6Yimq78yeZrXExK8BuL9gDef6jCiqsADdn++9mEPoMmqqxt+aPay/TnIIQoiX01Pl474sxUue/P06D+7U5sKNJ2+8zj+NY9rDog5BJzY9+Xc+iC6nTqbrijqEAnvgqLupKIqSTVreT/j+t7CMvlvUIehErN1/4xbLKH2nVxf6h7Mk9tWF/gWKXdpR1CEU2LMX5un+N9sQpbupWYpSLfebRR1CgX37x39j/lADQ91PvfR3+6LnP//C2+uYsfbf88Dbl5lUbXtRh1BgsY6FM+r87xZpUHh3Kv1djtz99+8DQFuXY0Udgk4cK/veqwv9w9XbN76oQ9AJ8+rtijqEf51W/S4VdQj/OhvmFM70lkUpX5fMb9++res4hBBCCCGEEEIIIYQQQoi/Xb6S5MWLq299unTpEvfu3SM1Nfu2Oj09vazPhRBCCCGEEEIIIYQQQoh/snwlyW/dukX79u05f/48enp6WU/Sfj4fan6mWxFCCCGEEEIIIYQQQggh/m55Ty7+Ep9++ine3t6EhYVhZmbGhQsX2LdvH5UqVWLPnj06DlEIIYQQQgghhBBCCCF0T6VSyusNX/9F+RpJfvjwYXbt2oWDgwMKhQJ9fX1q1arFuHHj+OSTTzh9+rSu4xRCCCGEEEIIIYQQQgghdC5fI8kzMjKwtLQEwMHBgUePHgHqucqvXr2qu+iEEEIIIYQQQgghhBBCiEKUr5HkpUqV4uzZs3h7e1O1alUmTJiAkZERs2fPxsfHR9cxCiGEEEIIIYQQQgghhBCFIl9J8m+++YbExEQAvv/+e1q1akXt2rWxt7dn+fLlOg1QCCGEEEIIIYQQQgghhCgs+UqSN23aNOvffn5+XLlyhaioKGxtbdHT09NZcEIIIYQQQgghhBBCCCFEYcpXklwbOzs7XW1KCCGEEEIIIYQQQgghCp1KqSrqEMQ/QL4e3CmEEEIIIYQQQgghhBBC/BdIklwIIYQQQgghhBBCCCHEW0uS5EIIIYQQQgghhBBCCCHeWpIkF0IIIYQQQgghhBBCCPHWkiS5EEIIIYQQQgghhBBCiLeWQVEHIIQQQgghhBBCCCGEEEVBpVQVdQjiH0BGkgshhBBCCCGEEEIIIYR4a0mSXAghhBBCCCGEEEIIIcRbS5LkQgghhBBCCCGEEEIIId5akiQXQgghhBBCCCGEEEII8daSJLkQQgghhBBCCCGEEEKIt5ZBUQcghBBCCCGEEEIIIYQQRUGpUhZ1COIfQEaSCyGEEEIIIYQQQgghhHhrSZJcCCGEEEIIIYQQQgghxFtLkuRCCCGEEEIIIYQQQggh3lqSJBdCCCGEEEIIIYQQQgjx1vrHPLjTJflWUYdQYEbJcUUdgk4smHm0qEPQifYVtxV1CAXmWSOlqEPQCdWVs0UdQoHp2zsWdQg6YWZiVdQh6ITCNKOoQygwm1vHizoEnVBZ/Pt/U4b/kfb77qP0og5BJ6q6GxV1CAV298KNog5BJ/QNDYs6hAJzTS7qCHTj1gWzog5BJzJMjhV1CAVmZfLv79cCGFdrVtQhFNjDx/ZFHYJOWCiuF3UIOlFv3/iiDqHA9tQZVtQh6ETLtHZFHYIQ/0r/mCS5EEIIIYQQQgghhBBC/J1USlVRhyD+AWS6FSGEEEIIIYQQQgghhBBvLUmSCyGEEEIIIYQQQgghhHhrSZJcCCGEEEIIIYQQQgghxFtLkuRCCCGEEEIIIYQQQggh3lqSJBdCCCGEEEIIIYQQQgjx1jIo6gCEEEIIIYQQQgghhBCiKKiUyqIOQfwDyEhyIYQQQgghhBBCCCGEEG8tSZILIYQQQgghhBBCCCGEeGtJklwIIYQQQgghhBBCCCHEW0uS5EIIIYQQQgghhBBCCCHeWpIkF0IIIYQQQgghhBBCCPHWMijqAIQQQgghhBBCCCGEEKIoqJSqog5B/APISHIhhBBCCCGEEEIIIYQQby1JkgshhBBCCCGEEEIIIYR4a+UrSX7q1CnOnz+f9T40NJR27drx9ddfk5qaqrPghBBCCCGEEEIIIYQQQojClK8k+Ycffsi1a9cAuHXrFl26dMHMzIyVK1fy1Vdf6TRAIYQQQgghhBBCCCGEEKKw5CtJfu3aNcqVKwfAypUrqVOnDkuWLOGvv/5i9erVuoxPCCGEEEIIIYQQQgghhCg0BvlZSaVSoVQqAdixYwetWrUCwMPDg4iICN1FJ4QQQgghhBBCCCGEEIVEpVIWdQjiHyBfI8krVarEDz/8wMKFC9m7dy8tW7YE4Pbt2xQrVkynAQohhBBCCCGEEEIIIYQQhSVfSfIpU6Zw6tQpBg0axMiRI/Hz8wNg1apV1KhRQ6cBCiGEEEIIIYQQQgghhBCFJV/TrZQpU4bz58/nWv6///0PfX39AgclhBBCCCGEEEIIIYQQQvwd8jWS/P79+zx48CDr/bFjxxgyZAgLFizA0NBQZ8EJIYQQQgghhBBCCCGEEIUpX0nybt26sXv3bgCePHlC48aNOXbsGCNHjuT777/XaYBCCCGEEEIIIYQQQgghRGHJ13QrFy5coEqVKgCsWLGCUqVKcfDgQbZt28ZHH33EqFGjdBqkNqs372Rx6GaiYmLx8/JkaJ/ulPD30Vo2dPtetuw9yK17DwEI9PHio+4dNcr/sTyEHQeOEhYZhaGBAYE+XnzYrQMlA3wLdT9WbNvPwo27iIyNw9/TjS/f70gp3+Jay67ddYiNB45z8/5jAIK9PRjYuZVG+cjYOH5dup4j568Q/yyJCkG+fPl+RzydnQp1PwB6v+tGy4ZOWJgbcOFKPL/8cZuHT1LyLL/0t3I4OxnnWh6y9SlT594BYGg/LyqUtsbBzoik5AwuXk1g1uJ73H+UrPP4jcrXwaRqQ/TMrcgIe0jSjpVkPL6bZ3k9Y1NM6rTGMKAseiZmKOOiSdq5ivRbl9TbK1cL4/K1UVjbAZAR8YTkQ5uzPi8My3cdYf7WA0TGJhDg4cywrq0o5eOutezOkxeZu2kv98OiSM/IwLOYPe81qUmr6uW1lv9hYSir9x7ni84t6N64cJ89sPz0DRYcv0pkYjIBjjZ81bA8pVzstJZdd+EO3205rrHMSF/Bkc86aiy7FRnHtH3nOHU/nHSlCh97K/7XtgYuVmaFth/LDp9n/r4zRCQ8I8DZnuFtalPa49UPN9589jrDl22nfglvprzXXOOzW2FRTNlyhJO3HpGuVOLrZMukHs1wsbEslH1YuXUPi9dvzzxGufN5786U9PPSWjZk5wE27TvCrQePAAjy9mRAl3a5yt9++JjpS9Zy6tJ1MpRKvN1c+Hlof5wdtH/HurB241aWhawnKjoWXy9PPu3fm+AAP61lb9+7z7wlK7l28xZPwiIY1Kcnndq00Cjz7FkSc5esYP+R40THxuLv7cXgfr0I9i+8NmPZgdPM33WCiPhEAlwdGd6hAaWLu7xyvc2nrjB84Ubql/JlSp92AKRlZPDbpoMcuHybB5ExWJoYUzWgOJ+2qo2TtUWh7QPAsj0nmL/9MJFxCQS4F2NY56aU9nLTWnbn6SvM3XKQe+FRpGco8XSyo2ejqrSqWiarzLPkVKaG7GL32avEJibhZm9D1/qV6VSnYqHuR04rth/IbM/j8fd05cueHfJsz3cdP8ef67Zz/2mEer+KOdC9RT1a1qr8t8b8XN3SCsr76mFiCPcjVGw+riQqIe/yFf30qOivwMZc/T48FvZdUHLzsSqrjLkJNCqnwMdZDyNDiIyDAxeVXHmgymOrr2fj+lDWrl5BdHQU3t6+9B8wiIDAoDzLH9i/l8UL/yLs6RNcXd14/4N+VKpcNevzpKQk5v/5B0cPHyQ+Po5ixZxp1aY9zVu2zirz9bChXDh/TmO7zZq3YuDgIQXaF236dPeidRNnLM0NOH85jokzrvPgcVKe5Vf+URWXYia5lq/Z+JDJv9/A2cmYVXOraV33258vsvtghM5if+6DLh60alwMCzN9zl+JZ/LsWzx8nHe/bdnvFXBxyr0Pazc/Zsqc27mWT/gmmKoVbBn58xUOHIvSaezP/VfOM7Tp2d6ZZvXssTDT59L1RKbNv8+jp6l5lp8/sQTOjka5lq/bEc70hQ8LM1QADEvXwKhCXfTMLFFGPCZ5XwjKp/e1ljUIqoRp484ay1TpaSTM/DrrvZ6pBcY1W6Lv4Y+esSkZj26TvDcEVazu68Jz/5V+7arNu1i8bou6XhT3YGifbpR8Sb3YvPcwt+4/rxfF+ahbhzzLj5+1gJDte/m0Vxe6tGpcaPvwXL0yCir4K9TtXriKjccyiIrPu3wlfwWVArLbvbBYFfvOK7nxKLtNs7WAxhX08XTSw0ABNx6r2Hw8g0Tdn7aybM9x5m879EJfqjmlvfPqS11m7uYDOfpS1WlVLbsvVe4j7QMdh3RoRK8mhXfet3zHIRZs3kdkbDwBni581aMtpXw8tJbdeeIC8zbs4v7TyMxzVwd6NKtDq5oVAEhLz2DGmq0cPHeVB2GRWJiZULWEP590ao6jrVWh7cPrsqtVCZ/P+2BdoRQmrk6c6DiQp+t2FnVY4gVKZcH6qOK/IV9J8rS0NIyN1cnNHTt20KZNGwCCgoJ4/Pix7qLLw46DR5n21zK+/LAnJf19WL5hO5+NncTSX8dhZ537AHj64hUa1apG6UA/jAwNWRSyiSHfT2TxlB9xtLcFwNO1GJ/37YFrMUdSUtNYvmErQ8ZOYsVvP2OrZZu6sO3wKX5ZvJYRH7xLKV8vlm7Zw+CfZ7J64kjsrHMnvE5evkHT6hUo09MbYyND5q/fwaCfZ7Ji/HCc7GxQqVR8MXkuBvr6TBraF3NTExZv3sPAn2awcsIITE1yJ6R1pUtbFzo0d+bn6bd4HJbMB509mDAyiF5Dz5GWpv1g89GICygUelnvvT1NmfRtMHsOR2Ytu3YrkR0HInkakYKVhQHvd3Lnf98E0e3jM+jyGGYYVAHTBu1J2rac9Ed3MK5UH/N3PyZ+zveonmnJFCj0Me88CNWzeBJD5qKKj0HP2g5VcvaJrDI+hqS9oSijwwE9jEpVxbxDf+L/+hllxBPdBZ9p67HzTFqxmZE92lDKx4MlOw4xcMpfhPwwBDur3Ekva3NT+rash5ezA4YG+uw/d5Xv/lyLnaUFNUr5a5TddeoS52/dx7GQErEa+3HlPpP3nOXrRhUo7WLP4lPX+HjVPtZ+0Aw789wn0QAWRgas6ZOdTNbL8fn9mAT6LN1N29LefFSjJObGhtyKiMNYP18307yWLeeuM3HjQb5pV5fSHsVYfPAcA+ZtIPTzrthb5H0C8zA6jsmbDlHBK3fy835kLL1+X0v7ysEMaFQZC2Mjbj6NwsigcJ4Fsf3QCaYuXM2wvl0p6efNsk27+HTcNFZM/k7rsfbUpWs0qVmZMgE+GBkasmDdNj75aRpLJ47Cyc4GgAdPwuk/ehJt6teg3zutMTc14daDRxgZ5qs5ei279h9i+ryFDB3QlxIBfqxcv4kvvhvHohmTsbWxzlU+OSUV12JO1KtRjd/mLdC6zQm/zeL2vQeM/Oxj7O1s2b5nP5+P+oH5v03C0V73yf4tp68wMWQv33RqROniLizee5IBs1YTOuID7C1f8nuKimXyur1U8NE8cUpOTefKg6f0b1yNQDdH4p4lM37tbj79I4Sln/fQefzPbT1xkUmrtzOyq/pkbvGuYwyctpTQ7wZgZ2Weq7yVuQl9m9fEq5gDhgYK9p2/wegF67GzNKdGCXVyaeLq7Ry/eocfe7fF1d6Gw5duMW7ZZhytLalXNqDQ9uVF246c5pfFIYzo3YlSfsVZumUvg8fPYvX/Rmhtz63MzfigTWO8XIupj7+nL/L97GXYWVlSvUzeCd/CUCNYjyoBeoQeURKTqKJeaQXd6uszc2MGGUrt68Q9g11nlETFq0APynor6FxbwZwtGYTHqcu0rabAxEiP5fsyeJYCpbz06FhTwdxtGTyJzl+s+/fuZu6c3xk46FMCgoJZF7Ka0d8OZ+bsP7Gxsc1V/vKli0wc/yM9e/WhcpVq7N2zi5/GjuaXaTMp7uUNwNw5Mzl39gxDvxyOUzFnTp86we/Tp2Fnb0/VatmJgSbNWtC9R6+s98aF0Kfq3tGDd1q58eOUKzx+mkzf7l5M/r40PQYeJzWPvlS/oadQvNCU+RQ3Z8oPZdl9IByAsIgU2rx3SGOdNs1c6dbenSMndZ9g7trejQ4tXRg37TqPw1Lo09WTid+W4P1PT+e5Dx9+dQ59jf6gGZO/K8meQ5G5ynZq5YKqkM9h/yvnGdq828KJto0dmTjnLk8iUnm/gws/feFLv6+v5Nlf/2TMVY3+upebCT8P82P/8dhCj9fAvyzGtVuTvHs1yif3MCxXG7M2fUlcNAFVUqLWdVQpSSQu+t8LCzT3y7RlL1TKDJI2/oUqNQWj8nUwa9efxMX/g/Q0ne/Df6Vfu+PgMabNX85X/d9T14uN2/nsh19YNu1H7X3Ci1dpXKuKul4YGbIoZDNDxk5m8S9jcbLXPF7vOXqKi9dv4ZDZVyxsNUsoqBqkIORQBtEJKuqX1adHAwOmr09/SbunYsfpDHW7B5TzUdClrj6zNqUTHguG+tCjoQFPo1Us2JEOQP2y+nStp88fWzJ0Gv/WExeZtGobI7u1pLSXG4t3HWXgr4sJ/e5j7X0pM1P6Nq+Nl7M9hgb67Dt3ndELQrGzNKNGSfWAkR3jh2qsc+DiDcYsXEej8sE6jV1jP46eZfKyDXz9fntK+3iyeNsBPp44l7U/f5HnuWuf1g3wcnHE0MCA/WcuM2buSuyszKlROpDk1FSu3H1I3zYNCPBwJS7xGROXrGfI1L9Y/N0nhbYfr0vf3Iy4c1e5/9dqKq2aXtThCCHykK+WtGTJkvz+++/s37+f7du306xZMwAePXqEvb29TgPUZtn6bbRpVIdWDWrj7eHGVx/2xNjYiA0792st/92QD+nYrAEB3p54ubswYkBvlCoVJ85nj+htUrs6lcuWxM3ZCR9PNz7p1ZXEZ0ncvPtA6zZ1YfHmPbSrX4M2davh4+7MiA/excTYiHV7j2gt/8PHPenUuDaBXu54uRbjm35dUSmVHLt4DYB7T8I5f+MOwz/oREnf4ni5FmNE706kpKWx9fCpQtsPgHdaOLNwzUMOnojm1r0kxv12EwdbI2pVzn3S+lxsfDrRsWlZr+oVbHj4JJmzl7Iv42/YGc65y/E8DU/l+u1nzFt2n2IOxlpHoBeEceUGpJ49ROr5Iygjn5C0dRmkpWJUurrW8kZlqqNnYkbimtlkPLyFMi6KjPs3UIZnj6hJv3mB9FuXUEaHo4wOI3n/elSpKRi4eus09ucWbT9Ih9qVaFurIr6uTozs0QYTI0NCDpzUWr5SkA8NKpTAx9UJDyd7ujWqgb97MU7f0Bw9HxYdx/ilG/ipbycM/oYH8y4+cY32pb1pW9obHwcrRjauiImhPqEX7uS9kp4eDuYmWS/7HCcd0/dfoKaPM0PqliGomC0eNhbU9XPN8+REFxbuP0uHyiVoVykY32J2fNOuLiZGBoScuJLnOhlKJV8v38GARpVxt8t9wvHrtqPUCizOZ81rEOzqiIe9NfVKeL806V4QSzfupG2DmrSuVwMfdxeG9+2KiZER6/cc1lr++8Ef8E6TugR4eeDl5szID3uoj7UXsvd55vJQapQryeDuHQj09sDd2ZE6lcpqPcHSlRWhG2nVpAEtGtXDy9Odzwf0xcTYiE079mgtH+zvy4DePWhYp4bW5H1KSir7Dh/jo17dKFsyGHcXZ3p37YSbizOhm7cXyj4s3HOSDtVL065qKXyd7fmmU2N1/T6a+yHaz2UolXy9cBMDmtXA3d5G4zNLU2NmDehE0/KBeDnZUcbLlREdG3LpwVMeR8cVyj4ALNx5lA41y9OuRjl8XRz5pmsL9X4cPqO1fOUALxqUC8LHxQEPRzu6N6iCv1sxTt/IHkV49uYDWlcrQ+UAL9zsbXindgUC3Ipx4U7hj3B8Tt2eV6dN3ar4uDkzonenzPb8qNbylUr4Ub9yGbzdiuFezIGuzeri5+HCmau3/raYn6sSqGD/RSXXHqoIi4HQI0osTSHIPWdaJtv1RypuPFYRlQBR8bD7nJLUdHBzyF7Hw0GP49eUPIqCmEQ4cFFFcho42+a93VcJXbuaJs1a0KhJMzw9izNw0BCMjY3ZsW2L1vLrQ9dQoWJlOrzTGQ/P4vTo2RsfXz82rg/NKnPl8iUaNGxC6TLlKFbMmWbNW+Ht48v1q5rHamNjE2zt7LJeZma5ExEF1amNGwtW3OXA0Uhu3knkh1+uYG9nTO1qDnmuExOXRlRM9qtGZXsePEri9AV1AlOpROPzqJg06lSzZ9eBcJKS88gGFWQfWrmwcNUDDh6P5tbdZ/w07Tr2dkbUqpL3xcPYuHSN+KpXsuXB4yTOXNQ8Fvl5mfFuW1fGT7+h87hf9F85z9CmXVNHlq5/wuHTcdy+n8yE2XextzGkRoXcF4yfi43PIDo2PetVtZw1j56mcO7KS2430RGjcnVIu3iU9MsnUEaHkbJ7Dar0NAxLVHnpeqpn8dmvpOw49Wwc0HcpTsqeNSjDHqCKCSdl9xowMMQwQPudlAX1X+nXLs2qF7Xw9nDlq/7vqevFrgNay48Z0j+7Xri5MOKjXpn14rJGubDIaCbPXcJ3n/b7W84zAKoGK9h3XsnVB+p2L+RQBpZmEOSRd/t07aGKG49URMWr271dZ9Xtnntmu+fhpIeNOYQcziAshqztutrr4e2c/3ZPm4U7DtOhZgV1X8rVkW+6tcTE0JCQQ6e1lq8c6EWD8kH4uDiq+1INq6r7Ujez+1IO1hYarz1nr1I5wAt3x7zP5Qtq8db9tK9bhba1K+PjVoyR77fHxMiQ0H3HtZavFOxLg4ql8HEtpj53bVILfw9nzly7A4ClmSkzv+xHkypl8XJxpIxfcYb1aMvlOw95HJnPq/M6FL51H9dGT+Fp6I6iDkUI8RL5SpKPHz+eWbNmUa9ePbp27UrZsmUBWLduXdY0LIUlLS2dqzfvUKlMyaxlCoWCymVKcOHa63Wak1NTSM/IwMpC+wlOWlo6odv3YGFmip+X9tt9CiotPZ0rt+9TtVT2KDeFQkGVUgGcu37ntbaRnJJKeoYSa3N1giwtTX3V2viFh6cqFAqMDAwK9cTbxckYe1sjTp7LPplJTMrg8o0ESga83shjA309Gtd2YPPu8DzLmBgraFbfkUdPkwmLyPu20Dem0Eff2YP0u1dfWKgi/c5VDNy0J7QN/UqT8eg2po07YzXoJyw/+Brjak1AL49OkJ4ehsEV0TM0Iv1h7luHCyotPZ3Ldx9RtUT2bbsKhYKqwb6cu6X9ltQXqVQqjl6+yZ0nEVT098parlQq+WbuSt5vWgtft1dPE1JQaRlKLj+Npmrx7L+l0NOjqmcxzj3KPaLsuaTUdFrM2kjzWRv4bO1BbkZkj25SqlQcuPWY4raWDFy1j4bT19Fz0U52Xy+8BFpaegaXH4VTzS97qhuFQo9qvu6cu5f3XQSzdp7A1tyUDpVL5PpMqVSx/8pdijvY8NG89dT74U+6T1/FrouFU7fVx6h7VCmdPapVoVBQuXQQ56+93t9MTkklIz0DK3PzzH1Qcuj0BTxdivHJT9No1v9LPhg5nr3HzxTGLgDq4+K1m7epWLZ01jKFQkHFsqW5ePVavraZkZFBhlKJUY4HVRsbGXH+ct4XQfIrLT2Dyw+eUi3AM2uZQqFHNX9Pzt3N++6tWVsPY2tpRodqpfMs86KEpBT09NQJ9MKQlp7B5XuPqRqUfVxVKPSoGuTFuVuvro8qlYqjV25z52kkFfyz/y/K+rqz59w1nsbEoVKpOH71DnfDoqheQvst3bqmrisPqFoyR3te0p9zOS46aqNSqTh24Rp3n4RTPujvnXrBxhwsTfW4/SR7pGVKGjyM1Ex4v4yeHpT01MPQAB5EZG/nfoSKEp56mGTO0lDSUw8Dfbgblr9hwGlpady4cY1y5SpkLVMoFJQtV4ErV7RPY3blyiXKlv9/e/cd1tT5xQH8mwQIKxD2HiLIUBEVd61btNbZal11VDu0+lNblap1dNqtrVVbbdXWatW6V93FgQMH4GCqIA4Q2SA7Ob8/IoGwxYQgns/z8DyS3IRzvOu95773fduovNambTuV5b28fRBy4SxSU1JARLgaHoYH9+/Br42/yudO/nccY0YOw7Qpk/HH+t9QkK/e5+ftbfRhaS7GxbDSC/nHuTJExGShhVftbiLq6AjQt4cNDhyr+jzj2dQYzZpKsP+o+p9os7N50h4Mz1C+9jhXhsjYbDT3rGV7UEeAPi9b4d8TySqvi/WEWDirGZavuY20DPX39i3RWK4zKmNrpQcLqS6u3CgtGufmyRF1Oxfe7rW76aMjEqBnZzMcPlV1m0xthCIIrR0guxtb5kWC7G4shLaVD2UFANDVg9H4+TCasAD6AyZAaF7aphSIFDe+qbhY5TshK4ZIA51YGk27tqgY0bfvoJ1vaa9iRZvQB9ejb9XqOyrbL+RyOT5d8RvGDA6Am1PlQ4Wom9RYcd67nVR6k7CgSHH+crJ6ivOei+K8d/fJeU/nSVVFVqbTeLFM8SCDs7X6iuTKtpR3ubaUdxNcvV3zTTdFW+q2oi3l7lzpMqlZOThzLRZDumjmxhHw5No1/j46+JQ+vSwUCtGhuTuu3kqo8fNEhAsRNxGf+AhtPKved3Py8iEQCCAxNFBL3Iyxxq9Oz7d3794dKSkpyMrKgplZ6d3Fd955B4aGNfdoLCgoQEGB6ljVBYWFEOtVHO+uvIzsbMjkcphLVS8YzE1Nced+7Rr8qzb+A0szqUoDGACCL4Vh0bJfkF9QCAszUyxfPBtSE80ML5GR/ViRR7nHsM1NJIh/kFzFp1St2LIXlmYmaN/CEwDgam8DWwsz/Lx1H+ZPegMGYj1s+jcID9MykJKhuZ6B5lJFoSg9U/WiJT2zSPleTV5qbwZjIx0cCqpYJB/c1xrvjnWGgb4ICffzMOfzKBTL1PesrcDQGAKhCPLHqgPRyXOzoGNReWFYKLWA0LQZCiMu4vE/qyE0s4JB3zcAkQgFwf+WLmdpD8mbHwI6OkBhAR7vWgt5qvovTNNzchXbU7lH0yxMjBGfVPUYi9m5+QiY8w2KioshFAgxb+xAdGxeOk7z+kOnIRIKMapX5T3q1S0jrwAyogo9YcyN9BFfxUCBLuYSLO7nDw8rKXIKivDnxWhM3HwC/0wMgI3EEGm5BcgtKsb6C1GY+lILzHjZF2fjkjB7z1mseaM72jpZqT2P9Nx8yORUoYe3hcQAcY8q78lwJT4Ruy5FYtv/RlT6ftrjPOQWFmHdySuY1rcDZvbrhOCYBHyw6RB+mzwY/m7qvbjIyMp5cowqf6w1wZ37D2v1HSs374KlmSnaPSm0p2dlIze/AH/uPYz3RgzCtNFDcS48AoE/rMGqhTPRxkf9Q2NkZmVBJpdXGFbFTGqKhHt1u6A0NDRAc08P/LltJ1wcHWAmleL46WDciI6Bg62tOsJWkf44T7E9SVSLGBYSQ8QlVz5cwpXb97DrwnVsm/1mrf5GQVExlu8/hf6tvWCsoaG5FMcpgkW5R4EtTIwR/7DqYkF2Xj76zvsRRUUyCIUCzB/VH528SwvgH40IwKebDiBg3k/QEQohEAqwaMwAtPWopoiiRlWez00liE+s+nyek5uH/tOXoLC4GCKhEIETXkfHlp6aDleF8ZNrxvLjpT7OJxjX0CHR2hSY2EcEHRFQWAz8c1qOlDJNjR3BcrzWRYg5r+lAJicUPVkmvY6dT7OyMiGXyyE1U+3VJpWa4f7dym8GZ6SnVxiGRSqVIj29dL95d8o0/PzTMkwcNxIikQgCgRDTZsxCi5alY7W+3L0nrK1tYG5ugfj4OPyxbi3u37+H+R8vqVsylTA3U7SB08sVgNMzCpXv1eTljpYwNtLBweNVtzNe7WuLuITHuB6l/nahuVQRZ1r59mBGUa1z6NreHMZGOhWK5NPecsX16GwEX9Rsb8DGcp1RGXNTxWVfRrn1k5FVpHyvJp3bmsLYUIQjZzQzFnxZAgMjRfu83LCHlJsDkVnlcy3JMx4h//g/kKckQqCnD7023WD4+vt4vOl70ONMyNOTIc9Kh7hzf+T/t0Px1KhfVwglUsgN1b8uGku7VrlflG8TSk1w537thlpd9dd2WJlJ0c63tCPIxt3/QiQUYsQrvdUab3WM9RUF64rnPcBIv/pitrUUmBSgozzvbT0pQ8n9i3sphMJioHdrIY6HySGA4t9CoQASNdZnq2xLSYyqv+bLy0ffj5aVaUu9gk4+ld+Y33suHIb6euilwaFWMrKfXLuWmwfH3ESC+MSqO81l5+ah36wvldeuH40bgo4tKr9+KCgswo/b/kW/Dq1gbKC5pywYY41LnQeBFYlEKgVyAHB1da3VZ5cuXYpPPvlE5bU5U95C4NRJdQ2n1v7ceQDHgkOw8pNAiPVUC7htWnjjj+8+QUZ2DvYePYmF36/G2q8WanQYgLrasPcojpwLxa8fT1PmoaMjwrezJuGzNX+j5zvzIHrSM71zK29AjeM39n7JAh+8U3rHdt7S6GqWrp1XeljhQlgGUtMr9g46djoVl65mwsJMDyMG2mHxLA9MW3ijyrET64VACMrNRt6hvwEiyB7ehVAihbh9L5UiuTztIbLXL4VAbABdz9YwHPAmcjb/qJFCeV0Y6ethy6L3kVdQiAuRt/D91n/haGkGfy83RMTfx9/HzmHzoqkQVNVDvgFoZW+BVvalwzz52lvgtfWHsCP8Nqa+1AL0ZCzK7u72GOuvaER5WksR/iAF28NvaeRi4mk9LijEgm3HsHhYd5gZVd6Slj/Jo4dPE7z5kuLpHS97S4QnJOGfCzfUXiR/Vn/sOYyjZy9h1aJZymNUyWQoL7f1xagBvQAAzVydcC3mFnYeO62RIrmmLJj1Pr5e8Stee2sqREIhPJo2Qa+uXRB9q/6HyyjvcX4hFmz6F4vf6AuzWgzFUySTYc4f+0AELBhefxeqtWUkFmPr/LeRW1CIkOh4fLf9KBwspWjXzBUA8HfQRVyLu48fp4yAnbkprtxMwNIth2BlaoyO3vXTm7wuDPXF2PzFbOQWFOLijRgs27QbDlYW8PepfEJZdWjhIsCAdqUPEf59su7jpKZkA2sOySDWBXychRjUUYg/j8uUhfLuvkLo6wqw8YQMeQUET0fFmOR/HJMhWfNDGdfa/r27ERMViY8XfwYraxvcuH4Vv65aAXNzC/i1Vkz+2q//q8rlXZu4wczMHAvnz0Fi4gPY2dnX6e/26WaNOe+XHvPmflr10Em1NaCPLS5cTkNqWuVP2+npCdH7ZRv8sbXmJxxqo/fLlvjw3dIiy0dfRFazdO280ssaIVfSVdqDnduZoU0LU0yeHf7M369pDek6o0cnM8yYUPpE28Ifnv38FPCyOS5ezUJaRnHNC2uBPOkO5Eml23deUjyMxsyBbouOKLxwGJDLkXfwD+j3GgHJO5+C5DLI7t5EcXxk1U+D1rPG0K4t789dB3E0OASrlsxV7hdRt+Kx7eAxbPhmkUavM1q6CvBqh9JhXDb/9wznvSzglwPF0NdTnPeGdBZhw9FipGQCuQXAP6dlGNBehA5eQhAB1+IJD1JJ4/Mo1IaRWIytC95VtKWi4vDd9iNwsDRDO0/XCsvuORuGV9q3hFiD8wXVlZG+GH9/OgN5+YUIibiJH/7eD0crc/h7qxb8i4plCFy1CQBh3vih2gmWMfZcqvORb/v27di2bRsSEhJQWKjaGL9ypfrxr+fNm4cPPlCdHCLnZu3GzJZKJBAJhUgr1zM6LTOzQq+P8jbv+Rd/7TqAHxfPqfTxRgN9MRztbOBoZ4MWzZpixPuB2H/8FMYNe7WSb3s2UomRIo9M1V4EaVnZsKhkkq+yNh44gQ37jmPVvKnwcFYtjHk3ccLmpXORk5uHomIZzEyMMX7RD/Bpor7HOYMvpSMitrRXh56u4oLbzFRX5RFYM1Nd3IzPrfH7bCz10MbXFIu/i630/cd5MjzOk+F+UgEiYnKwd31bdG1vjhPB6nnUk3JzQHIZhEYSlG02CQ1NQI8r72lFOZmQy2UqkwHJUpMgNDYFhCJA/uSb5DLIMxR39WUP70Jk5wyxf3fFmOdqZGZsqNieslR726Rm5cDCtOLEJyWEQiGcbRQNcU9nO8QlPsK6f0/B38sNobF3kJb9GK/M/a40R7kcP2z7F5uOncXBr2erNQcAkBqIIRIIkFaue0fa4/wK4zFWRVckhJe1Ge5m5Ci/U0cogJuF6vGhibkJwu5X3ePiWZgZ6kMkFCA1R3X7T83Og2UlkyzeTc3Cg/Rs/O/Pg8rXSoribRasxp4PRsPW1Bg6QiHcrFVvTjaxMkNYNUNu1JXUxPjJMar8sTarxmPtX/uO4s89h/HzghnwcCm9QJeaGEMkEqKJo+qkpK72dgiP1swYs6YmJhAJhUjPUK3KpWdkwtxMWufvdbCzxU9fLkZefj5yc/NgYW6GJd8sh72N+oclMjMyUGxP2aqTlKVm58Kykgma7qZm4EFaFv732y7la8rt6cMfsGfeW3CylAIoKZDvR2J6NtZOHa6xXuRAyXFKgNSscnlk5cCykgmaSgiFAjhbK8Yz9nKyRVxiCtYdOot2zVyRX1iEFXv+ww/vDsfLLRWP7DZztEH03Yf489j5eimSV3k+z8yGRTXFL6FQCCdbRTHD08UBcfcfYsO+YxotksfcJ9xPLT3TlTwebqQP5JQ57BrpC5CUXv1VvVwOZa/wpHQ57MyFaO8pxMGLcpgZA+2bCfHLgWLlRJ4PMwhOVgR/DyEOXnr6sbBNTEwhFAqRka7akzgjIx1S88rHTJWamSEjo/zyGTAzU2xPBQUF2PjHOsz7eAnate8IAGjSxA1xt25h185/lEXy8jy9FE/HJD64X+ci+ZmQVETEXFL+rmxLSXWRml7arjaT6uHm7Zq739tYieHfygwLlt6ocpkeXSyhLxbi0InaPQ1Uk+CQNETGlMamq6sodJmb6iKtTJHbTKqLm3GVT7JYlo2VGG19pVj4jeqwVW1amsLeVh/7N3ZQef3TOZ64GpmFmYuqzvlpNZbrDAA4H5qJ6Ful/++6T7Yxqaku0jJLi9xSE13cSsir8PnyrC100bq5BJ/9pP5hAytDeY8V7XNDY5Q9YggMjSHPrbwXdgVyOWSP7kMoLS06yx/dR+6WZYCePgRCESj/MQyHT4csWf3jwzeWdq1yvyjfJszIgkUlE6CXtWnPIWzcdRA/LZqtsl+ERcYiPTMbQ9+bq3xNJpdjxZ9bsfXAUexa/Y1aYo++R7iXUrq9l8x1b6QP5JTZ7I30gYdPcd5LTJPD3kKAjl5C7L+g2EJvJxJW7CmGgVixbEER8OFrOrihnvuSAKppS2U/frq2VFIK1h0+U6FIfiX2DuIfpuLrt19TX9CVkEqeXLtmqp7faqqFKK5dFfN0eLrYIy4xGesO/KdSJC8qluGjVZuQmJqBXwPf5l7krNZIrv65Wtjzp05jkv/000+YOHEibGxsEBoaivbt28PCwgK3b99G//79a/y8WCyGiYmJyk9thloBAF1dHXg2dcXlMpPhyOVyXLoaiRbNqr6w/Gv3Qazfvg8/LPwQ3u61G3NOToTCIs30lNDV0YFXEyflpJuAIo+L12PgW2ZM6PL+2Hccv+06jBVz34OPW+XjiAGAsaEBzEyMkZCUjMjbCejWtnZj0tZGXr4cDx4WKH/i7+UhNb0QbVqWNtYMDUTwdjfGjZiaG7H9elghI7MI567U/AitQKD40dVRY48DuQyypLvQcSn7mLsAOq7Nqhw/vPj+bYjMrFB2vnmhmTXk2ZmlBfLKCATK8RDVSVdHB94u9rgQWdpLSC6XIyTqNnzdan+DhMps8wM6+WHbkmnYsvh95Y+VVIJxAS9h1azxas8BUFwIeNuYISSh9DFrORFCEpLhW6ZXTXVkcsLNlExYPrn40BUJ4WNrjvh01W0xIT0bdiaamfBSV0cEb3srXLhVOpyHXE64cOsefJ0rDsfRxEqK7TPewNbpI5Q/3b2boJ2bA7ZOHwFbU2Po6ojQ3NEK8Y8yVD57JyUDdlL1PyKsOEY54+L10idFFMeoaLRsVnXhcePeI1i38yCWz5sG76aqw13o6ujAx80Vdx6oFmgSkh7C1rLqSd2eha6uDpo1bYLLV68rX5PL5bhy9Tqaez57z3UDfX1YmJshOycHF8OuokuHyotqz0JXRwRvRxtciCkdo1EuJ1yITYCvi12F5ZtYm2P73PHYOnuc8qd786Zo5+6MrbPHwfbJ9lJSIE94lI5fp7wOaRVPMag1D2c7hESXHlflckJIdDx8n+JJCDkRCp+MJ1ssk6NYJoewXC80oVCgvDGgaYp9xbHi+fxGLHzdaz/kiybbHCUKixUX+CU/j7KA7DxSmVRMTwdwsADupzzd/59AUFp0131ShCj/DUR176ypq6sLd/dmCA8v7VQhl8txNSwUXl4V53EAAC8vH1wNU53ILCz0snJ5mawYxU8e2S5LKBKC5FXnf/uWYgxeM/O6T1aflyfD/cR85U9cQi5S0grg36q04G9oIIJPM5NaDY0yoLct0jMLce5i1R0IXu1jhzMhqcjIUs+Y3nn5ctxPylf+xN990h70lSqXMTQQwdtDghvRNbcH+/e0RkZWEc5fVm0Pbt55H299EI7JH5b+AMDK9XH46mf13mBtLNcZwJP2enKh8ufO/XykZhShtU9pIc1QXwgvN0NE3qz5JkbfrhbIyCrGhXDNDeGoQi6DPPk+RI5l/98FEDm5q/QWr5ZAAKGlHehxJdtfYT4o/zEEppYQWjui+Lb6braUaDTtWl0deLq5qEy6KZfLcelaJFp4Vj2Xxl+7/8X6Hfux7ONZ8HZ3VXmvf7dO2Pj9Evzx3WLlj6W5FGMG9cPyjz+o/AvroMJ5L1Nx3nOzLT3u6+kqJuC8++jpz3siYcWTWl6BokDuaiOAkT4QfU99hTdlWyqqXFsqKg6+bo7VfFKV4vhT8Zp1V3AYfJzt4Omo/uEDy9LV0YG3qwNCIkqP4XK5HCERN+HbtOoaR3lyIhSVyaOkQJ7wMAW/zJkMaRVzQzDGWFXqVK1btWoV1qxZg1GjRmHDhg2YO3cu3NzcsGjRIqSlaX6MupED++LzFb/Bq6krfDzcsHX/EeQXFODVni8BAD79aS2szKWYMnY4AGDjrgP4bctuLJn5LuysLJGaruhRaKAvhqGBPvLyC/DHjn14qV1rWEhNkZmdgx2HjiMlLR09O7XTWB5j+nfHkl83waeJM5o3dcbmQyeRV1CIgd0UPWUWrf4L1mammDZyIABgw75j+HX7QXz+/jjYWZkrxxk31BfD8Envv2MXQiGVGMPW0gw3ExLx/cad6ObfEh19vSoPQk22H0zCm8MccD8xH4nJBXhrpCNS0gtxpszYkd8v9MLpkHTsPlxaIBMIgH7drXD4ZArK37izsxajR2cLXArPQEZWMaws9DBqiD0KCuW4EJqh1vgLLp6A4YA3UZyUAFliPMT+PQBdMQqvnQcAGA54E/LsTOSf2qtYPvQ0xG1ehkHv11Fw+SSEZlbQ79QXBZdPKr9T/+VBKLp9A5SVDujpQ8/HHzrOHni8bZVaYy8xtk8XLFq3Az4u9mjRxBGbj51FXkEhBndRFO0+/n07rKUm+N9rfQEAvx88ieYuDnC0NkdhUTHOXIvBgfNhmDdmEABAamwIabmhGnREIliaSuBqq7lHOcf4N8Pif0PgY2OG5nbm2Hw5FnlFxRjUwhUAsPBgCKyNDTD9ZcWNnzVnI9DS3hxOUmNkPxm7MTHrMYa2LC3kjmvniY/2nUMbRyv4O1njbFwSTt1KxJo3umssjze7tsLCf06guYMVWjhZ46/gq8grLMaQtop9ccG2Y7A2McKMfp0g1tWBh63qxZLkyWx3ZV8f/3JrzP37CNo2sUc7NwcExyTgVFQ8fnt7iEZyGDWgFz5d/Qe83Zzh4+6KLQdPKI613RRj1C9ZuQFW5lK8P0rx9//ccxhr/tmPT6dPhL2VBVIzyhxr9RUXd2MH9sGCH39Da28PtG3eDOfDInDm8jWsWjRLIzkAwIjBA7D0x9XwcneDl4c7tu87iLz8AvTv3Q0A8MWylbCyMMc740YBUExQFX/33pN/y5CSmobY2/EwMNCHo53ioiHkSjgIBGcHe9xLTMIvGzbB2cEer/TqrpEc3uzeFgs3H0JzJ1u0cLHFXyevIK+wCEM6tAAALNj0L6xNjTHj1a6K7cnOUuXzkie9aEpeL5LJMHvDPkTee4gVk4dCLiekPOmVZGqoD10dETThzV4dsPCPvfBxtkMLVwdsOnEBeQVFGNxJMYTQxxv2wFoqwf+G9AQA/H4oGD4udnCyNENhsQxnbtzEgQvXMH+U4oa8sYEYbT2csWzncYj1dGBvbopLsQnYf+EaPnytj0ZyqIzifL4ZPk2c0LypS8Xz+S+bFOfzNxQ9RtfvPQbvJk5wtLFAUZEMweEROBh8CfMmDK+3mEuERMvxUnMh0rLlyMghdPcVIjsPiLpXWiwY20OIqHuES7GK13q2EuLmAzkycwGxDtDCVQhXawE2BSlO5ClZQGo24ZV2IhwLlSGvEPB0FMDNVoAtJ+teLBg89DUs/+EbuHt4olkzT+zdsxP5Bfno1acfAGDZd1/B3MIS4ydOBgAMHDwM8wM/wK6d/6Bduw44dfI/3IyNwfvTFccbQ0MjtGjpi/Xr1kBPrKcYbuXaVfx3/Cjeevs9AEBi4gOc/O8E/Nu1h8TEBPFxt/H7mtVo3sIXTZqo90mFf/bex/g3nHH3QR4SH+Zj8lhXpKYV4PT50t6hyz/3xalzKdh54IHyNYEAeKW3LQ6deAhZFf+9Dnb6aNXcFHM+efZhXarNYX8ixr3uiHuJeUh6WIC3RjkhNa0QZ0JKrw9+WOKD0xfSsOvf0qHnBAJFkfzQf8kVckjLKKp0ss6HKYVISi6o8PqzaizXGZXZffgRRg2ywf2HBUh6VIjxw+yQmlGEs1dKn7b6am5TnL2Sib3HSrc7gQDo29Ucx86kVWiva1Jh2Cno934DsuR7kD+8C12/rhDo6KEo4iIAQL/PSMhzMlF4TjHUoV673pAlJUCemQKB2AB6bbpBKDFD/o0Lyu/UcfcF5eVAnp0BkYUdxC8PQvHtG5Ddrdtk3jVpLO3aUQP74rOff4dXU1c0d2+CLQeOKfaLHl0AAJ/89BusLMwwdYyiB/LGXQexdusefDLz7Ur3C1OJMUwlqj2fdUQimEtN4eKg2QLthUg5urYQIjWbkJFD6NFKhOxcIOpu6XnvzV4iRN0lXIxRbPC9/ISIfUDIfEwQ6wItXYVwtRHgr+OlBVo/NwEeZQG5+QRHKwH6+YtwPlKOVDXfV3qzdycs3LBbcc3naq9oSxUWYXBnPwDAx+t3K9pSQxVDG/5+6Ax8nO3gZGWOwuJinLl+EwfOX8X80a+ofG9OXgGOXonAh6/XT/tpTEBXLF67DT5NHNHczRGbj5xBXkERBnVVTJy9cM1WWJuZYPpwRZtv3f7/4OPqAEdrCxQWFyM4PBoHz17BvHGK4VSKimWYu/IvRN25jx9nToBMTkjJUNxMMjU2gK6OdoePERkZwqjMZKmGTRxh0soLhWmZyL+r/qeCGWN1U6cjRUJCAjp37gwAMDAwQHa24uDz5ptvomPHjvj555/VF2ElenfpgIzMbKzdshtpGZnwaOKMHz7+AOZPHvd6mJKq0qts1+H/UFRcjAXfrVT5nrdGDMbkN4ZAKBTizv1EHAwKRmZWDkwlxvByd8Wqz+fBzVlz4/z27dQG6dk5+GX7QaRmZqGZiyNWBL6nfDw7KTVdJY8dx4IV42v9uF7le94e1g/vvqY4eaSkZ2HZX7uRmpkNS6kJBnRth8lDAzSWQ4ktexJhIBbiw3ebwNhQB9eishH4ZbTKuOH2NvowNVHd5Nq2NIWtlRj//ldxgo7CIjlaeknw2iu2kBiLkJ5RhKuR2Zj+cQQystTb86Yo6gryDI1h8NIACIwkkCXfx+NtK0FPHucUmpirDK1C2RnI2bYKBr2GQfLWPMizM1BwKQgFF44qlxEYGcPo1XEQGJmACvIhe3Qfj7etQnF8VIW/rw4B7VsiPecxVu85jtSsHHg62WHlzPHK4VaSUjNUtqf8gkJ8uWkfktMzIdbVhaudJT6fNBwB7dX31EFdBHg5IT23AKuDbyA1Nx+eVlL8/HpX5WOpSVm5KNtpI6ugEJ8dvozU3HyYiHXhbWOG9aN6ws2y9MmGnh4OmN+nLdZfiMK3J0LhYibBt4M7obWjZfk/rzb9fD2QnpOPVcdCkJKdC087S6ya+Cosngy3kpSRU6H3a016NXfDx0O6YV3QFXy97zRcraT4fkw/tHGt2JtYHfp09kdGVg7W/LMfqRmKY9Tyj6bD4skj5w9T0lRy2Hn0FIqKizFv2VqV75n82gC8PVxRHOze3g+Bk0fjjz2H8MOGbXC2t8HSD96Bn5fmhpjo2bUzMrKysG7zP0hLz4B7Exd8u/gjmEulAIDklBQIy2xUKWlpmDzrI+XvW3bvx5bd++HXwhs/frEYAJCTm4u1G//Go5Q0SCTG6NapPSaPHQkdDTXA+7X2QnpOHlYdCkZKVi48Hayw6t3XlJN5JqVnPdX2lJyZg6Drit6wI77bqPLeb++PQDt39Q3RVVaAf3Ok5+Ri9f6TSMl6DE9HG6yaPgoWTx4RTkzLVBmbNK+gEF/+/S+SM7Ih1tWBq60lvpg4GAH+pRPifT1pGH7acwLz1+1BVm4e7MxNMW1Qdwx/uY1GcqhM346tkZ6Vg192HHpyPnfAirnvKh8ZTkpRPZ/nFRTi6w3bkZyWCbGeLlztrfHZlLHo27F1vcVc4mwkQVeHMKCdEPp6QMIjwuYgmUqh0sxYAEMxUNI33FAMDO4ogrGBorfcwwzCpiA54pIU78sJ2BIkQ08/Id7oJoKeDpCeDew5L8fNxLr38O/arQcyszKxeeMGpKenw82tKZZ8ulQ5R86jR8kQCEt7B3r7NMeHc+dj05/rsXHDOtg7OGD+wk/g4lra03dO4Mf4c8Pv+P7bpcjJzoaVtQ3GjnsL/V9RdFDQ0dFBeNgV7NuzA/n5+bC0skanLl3xxqgxdc6jKpt23IW+vghzpzWDsZEOrkVk4sPF11BYpi3lYGsAqYnqWNf+fmawtdbHgaNVz3cyoLcdHqUWICRUsxNf/r3rPgzEQsx+r6kih8gszPksQiUHe1t9mJbLoa2voj148HjtJq/XpMZynVGZbQeToS8WYsYEJxgbinAj9jEWfHdbpb1uZy2GibHquax1cwlsLPVw+JTmO0OVVRwbjgIDI4g7BEBgJIH80QPk7v0NlKcYokFgLIWwTPtcIDaAfs/XITCSgPLzIH90D7n//Ax5eul2JTCUQPzSQAgMjUGPs1EUdRmFF49pLIfG0q7t3aU90rOy8duW3UjNyIKHqxOWLZhVZr9IU2lL7TwShKLiYsz/brXK90waPgiT3xissThrIzhCDl0dYGAHkeK8l0z460SxynnPXCKAoX7ptmWkL8DQzsLS81464a/jMtxOKl3GwkSAXq2FMNADMh4Dp6/LcT5S/XeVAvybIz37MVbvC0JKVs6TttToWrSlskrbUm8NVWlLAcChS9cBIvRr10LtMVeaR4dWijx2HUFqZjY8ne3x84dvlbadyl275hUUYunG3aVtJzsrfPbOSAR0UHS0eJSeiZOhiqeARi76UeVvrQl8p8K45fXNtG0LdDpe2ub2+W4+AODunztxddI8bYXFGCtHQPT0zyO7ublhx44daN26Nfz9/fH222/j3XffxZEjRzBy5Mg69SZPvX72qT/T0Ojl19Pjhxo26JvKx/Z83uxqu7HmhRo4vc7dtB2CWlBUw59sqyYii4Y3EVJd5DfR7k0Qdck3eP6PU9LbF7UdglqQvmaHaakPxZK6D5vRkCy/2VfbIajFiPbPf4+qSTO1P4mvOoh0dWteqIHb+am2I1CP0d9qZiiN+rbdf5O2Q3hmQg3O31GfCjr203YIz2xFeIeaF3oOzHXYpu0Q1EKu//wPbxL0cqC2Q1CLAUXRNS/EVHR//Zy2Q3juBG3vpO0Q1K5OY5L37NkTe/cqhp2YOHEiZs2ahT59+uCNN97A0KE8ezBjjDHGGGOMMcYYY4yx50Odngtfs2YN5E8GpHv//fdhYWGBs2fPYtCgQXj33XfVGiBjjDHGGGOMMcYYY4xpQnWTtrMXR52K5EKhEMIyYz6OHDkSI0eOVFtQjDHGGGOMMcYYY4wxxlh9qHWR/OrVq7X+Ul9f3zoFwxhjjDHGGGOMMcYYY4zVp1oXyf38/CAQCFDTPJ8CgQAymeyZA2OMMcYYY4wxxhhjjDHGNK3WRfK4uDhNxsEYY4wxxhhjjDHGGGOM1btaF8ldXFyU/166dClsbGzw1ltvqSyzbt06PHr0CIGBgeqLkDHGGGOMMcYYY4wxxhjTEGHNi1T066+/wsvLq8LrzZs3xy+//PLMQTHGGGOMMcYYY4wxxpimEcn55yl/GqM6FcmTkpJgZ2dX4XUrKyskJiY+c1CMMcYYY4wxxhhjjDHGWH2oU5HcyckJwcHBFV4PDg6Gvb39MwfFGGOMMcYYY4wxxhhjjNWHWo9JXtbbb7+NmTNnoqioCD179gQAHD9+HHPnzsWHH36o1gAZY4wxxhhjjDHGGGOMMU2pU5F8zpw5SE1NxdSpU1FYWAgA0NfXR2BgIObNm6fWABljjDHGGGOMMcYYY4wxTalTkVwgEODrr7/GwoULERkZCQMDA3h4eEAsFqs7PsYYY4wxxhhjjDHGGGNMY+pUJC9hbGyMdu3aqSsWxhhjjDHGGGOMMcYYqzckJ22HwBqAOk3cyRhjjDHGGGOMMcYYY4w1BlwkZ4wxxhhjjDHGGGOMMfbC4iI5Y4wxxhhjjDHGGGOMsRcWF8kZY4wxxhhjjDHGGGOMvbC4SM4YY4wxxhhjjDHGGGPshaWj7QAYY4wxxhhjjDHGGGNMG0gu13YIrAHgnuSMMcYYY4wxxhhjjDHGXlhcJGeMMcYYY4wxxhhjjDH2wuIiOWOMMcYYY4wxxhhjjLEXFhfJGWOMMcYYY4wxxhhjjL2wuEjOGGOMMcYYY4wxxhhj7MVFL4j8/HxavHgx5efnazuUOmsMORA1jjwaQw5EnEdD0hhyIGoceTSGHIg4j4akMeRA1DjyaAw5EHEeDUljyIGoceTRGHIg4jwaksaQA1HjyKMx5EDUePJgrLESEBFpu1BfH7KysmBqaorMzEyYmJhoO5w6aQw5AI0jj8aQA8B5NCSNIQegceTRGHIAOI+GpDHkADSOPBpDDgDn0ZA0hhyAxpFHY8gB4DwaksaQA9A48mgMOQCNJw/GGiseboUxxhhjjDHGGGOMMcbYC4uL5IwxxhhjjDHGGGOMMcZeWFwkZ4wxxhhjjDHGGGOMMfbCemGK5GKxGIsXL4ZYLNZ2KHXWGHIAGkcejSEHgPNoSBpDDkDjyKMx5ABwHg1JY8gBaBx5NIYcAM6jIWkMOQCNI4/GkAPAeTQkjSEHoHHk0RhyABpPHow1Vi/MxJ2MMcYYY4wxxhhjjDHGWHkvTE9yxhhjjDHGGGOMMcYYY6w8LpIzxhhjjDHGGGOMMcYYe2FxkZwxxhhjjDHGGGOMMcbYC4uL5A1M9+7dMXPmTG2HwZ5SfHw8BAIBwsLCtB3KC0EgEGD37t3aDoM9557X4+3zGnd1GmNOLyo+H9aMt/fn14YNGyCVSrUdRp08722nxrzfNObcamPJkiXw8/PTdhiMPTNuAzH2/OMiOWOMMcYYe+E9zwVQxl50z/tNANZ4ubq6Yvny5doOgzHGWC1wkZwx9lwpLCzUdgiMNTpFRUXaDoExxpiGcNuJMcYYY6xmz3WR/NChQ3jppZcglUphYWGBV199Fbdu3VK+f/bsWfj5+UFfXx/+/v7YvXt3hcdfrl+/jv79+8PY2Bg2NjZ48803kZKSooVsShUXF2PatGkwNTWFpaUlFi5cCCICoLgT/dlnn2HUqFEwMjKCg4MDVq5cqdV4q7J9+3a0bNkSBgYGsLCwQO/evfH48WMUFxfjf//7n3K9BQYGYvz48RgyZIi2Q65WTdtbQ1fV+qjsEc8hQ4ZgwoQJWomzvO7du2PatGmYOXMmLC0tERAQAABITExE//79YWBgADc3N2zfvl3lc/fu3cOoUaNgbm4OIyMj+Pv748KFC9pIQUVJPlXt4wUFBQgMDISTkxPEYjHc3d3x+++/aznqZ4/7xo0bePXVV2FiYgKJRIKuXbs2iP2nuuPtxo0b4e/vD4lEAltbW4wePRrJyclajlihurgTExMxYMAAGBgYoEmTJti8eXOFXkwCgQCrV6/GoEGDYGRkhC+++EJLmZSqLqfKeghKpVJs2LCh/gOtQVXHWgBYt24dmjdvDrFYDDs7O0ybNk3L0SpUFbNcLsenn34KR0dHiMVi+Pn54dChQyqfDQkJQevWrZVtrdDQUC1lUfNxKj09HePGjYOZmRkMDQ3Rv39/xMbGAgCCgoIwceJEZGZmQiAQQCAQYMmSJRqLVS6XY+7cuTA3N4etra3K38rIyMDkyZNhZWUFExMT9OzZE+Hh4cr3S4YmWLduHZydnWFsbIypU6dCJpPhm2++ga2tLaytrSvs1wkJCRg8eDCMjY1hYmKCESNG4OHDh2rPra7nC7lcDkdHR6xevVrl+0JDQyEUCnHnzh21xwoA+/fvh1QqhUwmAwCEhYVBIBDgo48+Ui4zefJkjB07Vvn77t274eHhAX19fQQEBODu3bsq37lv3z60a9cO+vr6sLS0xNChQ5Xv1cd5XlNtp+ryqg9V7Teurq4AgKFDh0IgECh/L9lXNm7cCFdXV5iammLkyJHIzs6u17jLevz4McaNGwdjY2PY2dnh+++/V3nf1dUVn3/+uXIZFxcX7N27F48ePVLuv76+vrh06ZKWMlCsh2+++Qbu7u4Qi8VwdnZWHm8CAwPRrFkzGBoaws3NDQsXLqxwI/6rr76CjY0NJBIJJk2ahPz8fI3EWd21W8mwGFu2bEHnzp2hr6+PFi1a4OTJk8rPBwUFQSAQ4MCBA/D19YW+vj46duyI69evq/ydM2fOoGvXrjAwMICTkxP+97//Kc/73bt3x507dzBr1izluUVTanPsnT17NhwcHGBkZIQOHTogKChIY/HUVm3W086dO9GjRw8YGhqiVatWOHfunMp3VLcONKG6faAsmUyGSZMmoUmTJjAwMICnpyd+/PFHlWWCgoLQvn17GBkZQSqVokuXLsrzXXh4OHr06AGJRAITExO0bdtWq/s+Yy8Eeo5t376dduzYQbGxsRQaGkoDBw6kli1bkkwmo8zMTDI3N6exY8fSjRs36ODBg9SsWTMCQKGhoURElJ6eTlZWVjRv3jyKjIykK1euUJ8+fahHjx5ay6lbt25kbGxMM2bMoKioKPrrr7/I0NCQ1qxZQ0RELi4uJJFIaOnSpRQdHU0//fQTiUQiOnLkiNZirsyDBw9IR0eHfvjhB4qLi6OrV6/SypUrKTs7mz7//HMyNzennTt3UmRkJL333ntkYmJCgwcP1nbY1apue4uLi1PZthqa6tZHt27daMaMGSrLDx48mMaPH6+VWMsr2SfmzJlDUVFRFBUVRQDIwsKC1q5dS9HR0fTxxx+TSCSiiIgIIiLKzs4mNzc36tq1K50+fZpiY2Np69atdPbsWS1nU/M+PmLECHJycqKdO3fSrVu36NixY7RlyxYtR/1scd+7d4/Mzc1p2LBhdPHiRYqOjqZ169ZRVFSUNlOqMafff/+dDh48SLdu3aJz585Rp06dqH///lqNmajmuHv37k1+fn50/vx5unz5MnXr1o0MDAxo2bJlyu8AQNbW1rRu3Tq6desW3blzR0vZKNSUEwDatWuXymdMTU1p/fr19R9sNao71q5atYr09fVp+fLlFB0dTSEhISrrpCHG/MMPP5CJiQn9/fffFBUVRXPnziVdXV2KiYkhIsWx1srKikaPHk3Xr1+nffv2kZubm9bOhzVtR4MGDSJvb286deoUhYWFUUBAALm7u1NhYSEVFBTQ8uXLycTEhBITEykxMZGys7M1FqeJiQktWbKEYmJi6I8//iCBQKBsy/Xu3ZsGDhxIFy9epJiYGPrwww/JwsKCUlNTiYho8eLFZGxsTK+//jrduHGD9u7dS3p6ehQQEEDTp0+nqKgoWrduHQGg8+fPExGRTCYjPz8/eumll+jSpUt0/vx5atu2LXXr1k0j+dX1fDF79mx66aWXVL7vww8/rPCaOmVkZJBQKKSLFy8SEdHy5cvJ0tKSOnTooFzG3d2d1q5dS+vXryddXV3y9/ens2fP0qVLl6h9+/bUuXNn5bL79+8nkUhEixYtooiICAoLC6Mvv/xS+X59nOc10XaqKS9Nq26/SU5OJgC0fv16SkxMpOTkZCIq3VeGDRtG165do1OnTpGtrS3Nnz+/3uIub8qUKeTs7EzHjh2jq1ev0quvvkoSiUTZFndxcSFzc3P65ZdfKCYmhqZMmUImJibUr18/2rZtG0VHR9OQIUPI29ub5HK5VnKYO3cumZmZ0YYNG+jmzZt0+vRpWrt2LRERffbZZxQcHExxcXG0d+9esrGxoa+//lr52a1bt5JYLKbffvuNoqKiaMGCBSSRSKhVq1Zqj7M2126Ojo60fft2ioiIoMmTJ5NEIqGUlBQiIvrvv/8IAHl7e9ORI0eU68vV1ZUKCwuJiOjmzZtkZGREy5Yto5iYGAoODqbWrVvThAkTiIgoNTWVHB0d6dNPP1WeWzSlpmPv5MmTqXPnznTq1Cm6efMmffvttyQWi5XndG2pzXry8vKi/fv3U3R0NL3++uvk4uJCRUVFRFTzOtCEqvaB8jWBwsJCWrRoEV28eJFu376tXCdbt24lIqKioiIyNTWl2bNn082bNykiIoI2bNigbJc3b96cxo4dS5GRkRQTE0Pbtm2jsLAwjeXFGCN6rovk5T169IgA0LVr12j16tVkYWFBeXl5yvfXrl2rctD67LPPqG/fvirfcffuXQJA0dHR9Rm6Urdu3So0egIDA8nb25uIFA2nfv36qXzmjTfeaBCFm7IuX75MACg+Pr7CezY2NvTtt98qfy8uLiZnZ+cGXyQvr+z21tCL5NWtj+ehSN66dWuV1wDQe++9p/Jahw4daMqUKURE9Ouvv5JEIlEWFBqS6vbx6OhoAkBHjx7VYoSVe5a4582bR02aNFFeUDQUNR1vy7t48SIB0FjhrLaqizsyMpIAKIs9RESxsbEEoEKRfObMmfUZdrVqWhfPS5G8umOtvb09LViwQAtRVa+mmL/44guV19q1a0dTp04lIsWxtnxba/Xq1Votkle1HcXExBAACg4OVr6XkpJCBgYGtG3bNiIiWr9+PZmamtZLnOWLvu3ataPAwEA6ffo0mZiYUH5+vsr7TZs2pV9//ZWIFIU/Q0NDysrKUr4fEBBArq6uJJPJlK95enrS0qVLiYjoyJEjJBKJKCEhQfn+jRs3CACFhISoPb+6ni9CQ0NJIBAoCwQymYwcHBxo9erVao2xvDZt2ijbpkOGDKEvvviC9PT0KDs7m+7du0cAKCYmhtavX69y84GIlMfdCxcuEBFRp06daMyYMZX+nfo6z2ui7VRdXvWhuv2GqPLzRGX7ypw5c1RugNSn7Oxs0tPTUx5ziBRFVAMDA5Ui+dixY5XvJyYmEgBauHCh8rVz584RAI0WXKuSlZVFYrFYWRSvybfffktt27ZV/t6pUyflOaREhw4dNFIkL6+ya7evvvpK+X5RURE5Ojoqi/olRfKyN7FK1ldJkXPSpEn0zjvvqPyd06dPk1AoVJ4bXVxc6uWmeHXH3jt37pBIJKL79++rfKZXr140b948jcf2NCpbT7/99pvy/ZJzV2RkJBHVbh2oU3X7QG1qAu+//z699tprRKTYngBQUFBQpctKJBLasGGDWuJmjNXOcz3cSmxsLEaNGgU3NzeYmJgoH61LSEhAdHS08rGoEu3bt1f5fHh4OP777z8YGxsrf7y8vABAq8MAdOzYUeVRrE6dOiE2Nlb5GGinTp1Ulu/UqRMiIyPrNcaatGrVCr169ULLli0xfPhwrF27Funp6cjMzMTDhw9V1oVIJELbtm21GG3tVLe9NXRVrY/nRWXbR3X7QVhYGFq3bg1zc/N6ie9pVbWPh4aGQiQSoVu3blqMrmp1jTssLAxdu3aFrq5ufYVaa9Udby9fvoyBAwfC2dkZEolEmV9D2Oerijs6Oho6Ojpo06aN8j13d3eYmZlV+A5/f/96ibW2ajr3PQ+qOtYmJyfjwYMH6NWrl7ZDrKCqmLOysvDgwQN06dJFZfkuXbooj7WRkZEV2lrlj831rartKCIiAjo6OujQoYPyPQsLC3h6emqlDeXr66vyu52dHZKTkxEeHo6cnBxYWFiotE/j4uJU2qaurq6QSCTK321sbODj4wOhUKjyWskQUZGRkXBycoKTk5PyfR8fH0ilUo3kX9fzhZ+fH7y9vbF582YAwMmTJ5GcnIzhw4erPcayunXrhqCgIBARTp8+jWHDhsHb2xtnzpzByZMnYW9vDw8PDwCAjo4O2rVrp/ysl5eXyv9jWFhYlft6WFhYvZ3n1d12qi6v+lLVflOd8vtKbT6jKbdu3UJhYaHKccjc3Byenp4qy5XN08bGBgDQsmXLCq9pI4/IyEgUFBRUuS1s3boVXbp0ga2tLYyNjfHxxx+rtJsiIyNV8gc0d96ozbVb2b+to6MDf3//CsfEssuUrK+SZcLDw7FhwwaV43VAQADkcjni4uI0kld1qjr2Xrt2DTKZDM2aNVOJ9eTJk1of/rA266nsPmFnZwegdPuv73VQ0z5Q3sqVK9G2bVtYWVnB2NgYa9asUeZmbm6OCRMmICAgAAMHDsSPP/6IxMRE5Wc/+OADTJ48Gb1798ZXX32l9XXF2IvguS6SDxw4EGlpaVi7di0uXLigHDOvtpPT5OTkYODAgQgLC1P5iY2Nxcsvv6zJ0Bs9kUiEo0eP4t9//4WPjw9WrFgBT09PxMfHazu0OnvW7U2bqlofcXFxEAqFyrHqSjS0SfyMjIyeankDAwMNRaJZZQtNz5Oa4n4e10d+fj4CAgJgYmKCTZs24eLFi9i1axeA52Ofr42n3a+0SSAQNPjjFFD1sVYT4z6rS3XnB6Y55W8aCgQCyOVy5OTkwM7OrkLbNDo6GnPmzKn281V9Z0NSm/PcmDFjlEXyzZs3o1+/frCwsNBoXN27d8eZM2cQHh4OXV1deHl5oXv37ggKCsLJkyefqqhd3TmvPs+H6m47NYRzeV228edhvyivbMwlBc/KXtNGHtVtB+fOncOYMWPwyiuvYP/+/QgNDcWCBQu01m6qj2u3nJwcvPvuuyrH6/DwcMTGxqJp06Zq+zvPKicnByKRCJcvX1aJNTIyssIY2fWtNuupuu2/vtfB0xwLt2zZgtmzZ2PSpEk4cuQIwsLCMHHiRJXc1q9fj3PnzqFz587YunUrmjVrhvPnzwNQzKtw48YNDBgwACdOnICPj4/yeoQxphnPbZE8NTUV0dHR+Pjjj9GrVy94e3ur9Iz19PTEtWvXUFBQoHzt4sWLKt/Rpk0b3LhxA66urnB3d1f50WbxoPzkgufPn4eHhwdEIpHy9/Lve3t711t8tSUQCNClSxd88sknCA0NhZ6eHo4fPw4bGxuVdSGTyXDlyhUtRlqzmra350Fl62PXrl2wsrJSuWMtk8kqTEjTEFW3H/j6+iIsLAxpaWnaCK1GVe3jrVq1glwuV5k0qCGpa9y+vr44ffp0gyxqVpVTVFQUUlNT8dVXX6Fr167w8vJqMJN2AlXH7enpieLiYpXJE2/evPlcHK+qO/eVP07FxsYiNze3vkOslcqOtUePHoWrqyuOHz+u7fAqVdX52t7eHsHBwSrLBgcHw8fHBwDg7e2Nq1evqky6Vv7YXN+q2o58fHxQXFys8n7Jub0kHz09Pa0/udCmTRskJSVBR0enQtvU0tKyzt/r7e2Nu3fvqkwwGRERgYyMDGX+6vQs57nRo0fj+vXruHz5MrZv344xY8aoPb7yunbtiuzsbCxbtkxZEC8pkgcFBaF79+7KZYuLi1UmTouOjkZGRoZKG6Sqfb1ly5ZaPc8/S9upurwaAl1dXa3vvzVp2rQpdHV1VfaP9PR0xMTEaDGqp+Ph4QEDA4NKt4WzZ8/CxcUFCxYsgL+/Pzw8PCpMuOvt7V3p8UHdanvtVvZvFxcX4/LlyxWuq8suU7K+SpZp06YNIiIiKhyv3d3doaenB6B+zy1VHXtbt24NmUyG5OTkCnHa2trWS2yVUcc1dm3WgTpVtw+UFxwcjM6dO2Pq1Klo3bo13N3dK+0N3rp1a8ybNw9nz55FixYtlDeKAaBZs2aYNWsWjhw5gmHDhmH9+vVqzYcxpuq5LZKbmZnBwsICa9aswc2bN3HixAl88MEHyvdHjx4NuVyOd955B5GRkTh8+DC+++47AKV3H99//32kpaVh1KhRuHjxIm7duoXDhw9j4sSJWm1kJSQk4IMPPkB0dDT+/vtvrFixAjNmzFC+HxwcjG+++QYxMTFYuXIl/vnnH5X3G4ILFy7gyy+/xKVLl5CQkICdO3fi0aNH8Pb2xvTp07F06VLs2bMH0dHRmDFjBtLT0zU62/ezqml7a+iqWx89e/bEgQMHcODAAURFRWHKlCnIyMjQdsg1+ueff7Bu3TrExMRg8eLFCAkJwbRp0wAAo0aNgq2tLYYMGYLg4GDcvn0bO3bsqDATurZUtY+7urpi/PjxeOutt7B7927ExcUhKCgI27Zt03bIAOoe97Rp05CVlYWRI0fi0qVLiI2NxcaNGxEdHa3ljKrOydnZGXp6elixYgVu376NvXv34rPPPtN2uEpVxe3l5YXevXvjnXfeQUhICEJDQ/HOO+/AwMCgQR9jgerPfT179sTPP/+M0NBQXLp0Ce+9916DHL6numPtkiVL8P333+Onn35CbGwsrly5ghUrVmg75GpjnjNnDr7++mts3boV0dHR+OijjxAWFqZcL6NHj4ZAIMDbb7+NiIgIHDx4UNnW0paqtiMPDw8MHjwYb7/9trLH8NixY+Hg4IDBgwcDUAzLkJOTg+PHjyMlJUUrN2J69+6NTp06YciQIThy5Aji4+Nx9uxZLFiwQKUwW5fvbdmyJcaMGYMrV64gJCQE48aNQ7du3TQy9NKznOdcXV3RuXNnTJo0CTKZDIMGDVJ7fOWZmZnB19cXmzZtUhbEX375ZVy5cgUxMTEqPcl1dXUxffp0XLhwAZcvX8aECRPQsWNH5VCCixcvxt9//43FixcjMjIS165dw9dff63MTZvn+WdpO1WXV0NQciMyKSmpwd4YNjY2xqRJkzBnzhycOHEC169fx4QJE1SGSWro9PX1ERgYiLlz5+LPP//ErVu3cP78efz+++/w8PBAQkICtmzZglu3buGnn36q0Ot1xowZWLduHdavX6/cDm/cuKH2OGt77bZy5Urs2rULUVFReP/995Geno633npLZZlPP/0Ux48fV64vS0tLDBkyBAAQGBiIs2fPYtq0acon0vfs2aPcrwDFtnnq1Cncv38fKSkpas+1rKqOvc2aNcOYMWMwbtw47Ny5E3FxcQgJCcHSpUtx4MABjcZUHXVcY9dmHahTdftAeR4eHrh06RIOHz6MmJgYLFy4UKWzYFxcHObNm4dz587hzp07OHLkCGJjY+Ht7Y28vDxMmzYNQUFBuHPnDoKDg3Hx4sUG2TmSsUZFy2OiP5OjR4+St7c3icVi8vX1paCgIJVJW4KDg8nX15f09PSobdu2tHnzZgJAUVFRyu+IiYmhoUOHklQqJQMDA/Ly8qKZM2dqbbbwbt260dSpU+m9994jExMTMjMzo/nz5yvjcXFxoU8++YSGDx9OhoaGZGtrSz/++KNWYq1OREQEBQQEkJWVFYnFYmrWrBmtWLGCiBSTokybNk2ZX2BgIA0fPpxGjhyp5airV9321tAn7qxufRQWFtKUKVPI3NycrK2taenSpQ1u4s7yE4sCoJUrV1KfPn1ILBaTq6urcgKdEvHx8fTaa6+RiYkJGRoakr+/v3JSLW2qaR/Py8ujWbNmkZ2dHenp6ZG7uzutW7dOy1E/e9zh4eHUt29fMjQ0JIlEQl27dqVbt25pKx0iqjmnzZs3k6urK4nFYurUqRPt3bu3QeznNcX94MED6t+/P4nFYnJxcaHNmzeTtbU1/fLLL8rvQCUTnGlTTTndv3+f+vbtS0ZGRuTh4UEHDx5skBN3VnesJSL65ZdfyNPTk3R1dcnOzo6mT5+uxWgVqotZJpPRkiVLyMHBgXR1dalVq1b077//qnz+3Llz1KpVK9LT0yM/Pz/asWOHVifurG47SktLozfffJNMTU3JwMCAAgICKCYmRuU73nvvPbKwsCAAtHjxYo3FWd2E2VlZWTR9+nSyt7cnXV1dcnJyojFjxign3Vy8eHGFSe7Gjx9fYQL08n/nzp07NGjQIDIyMiKJRELDhw+npKQkNWennvPcqlWrCACNGzdO7fFVZcaMGSqTwRERtWrVimxtbZW/l0zuumPHDnJzcyOxWEy9e/dWTjRaYseOHeTn50d6enpkaWlJw4YNU75XH+d5TbWdqstL02rab/bu3Uvu7u6ko6NDLi4uRFT5vrJs2TLl+9qQnZ1NY8eOJUNDQ7KxsaFvvvlGJbfKJnksf87W9nWHTCajzz//nFxcXEhXV5ecnZ3pyy+/JCLFxKgWFhZkbGxMb7zxBi1btqzChMhffPEFWVpakrGxMY0fP57mzp2rkYk7a3PttnnzZmrfvj3p6emRj48PnThxQvn5kok79+3bR82bNyc9PT1q3749hYeHq/ydkJAQ6tOnDxkbG5ORkRH5+vqqTHp97tw58vX1JbFYTJosv9R07C0sLKRFixaRq6ursh0ydOhQunr1qsZiqo2nvcZOT08nAPTff/8pX6tpHahbVftA+Xjz8/NpwoQJZGpqSlKplKZMmUIfffSRcntPSkqiIUOGKM8HLi4utGjRIpLJZFRQUEAjR44kJycn0tPTI3t7e5o2bZpGJiNljJUSEJUb5LMR27RpEyZOnIjMzMwGMa5eXbi6umLmzJmYOXOmtkNRG7lcDm9vb4wYMaJB9dRkTBO6d+8OPz8/LF++XNuhPJXnNW4G3Lt3D05OTjh27JjWJ11jTJP4ONUw8HpgjDV08fHxaNKkCUJDQ+Hn51fpMkFBQejRowfS09MhlUrrNb664GMvY4w9Ox1tB6BJf/75J9zc3ODg4IDw8HAEBgZixIgRz22BvLEoeZSoW7duKCgowM8//4y4uDiMHj1a26Exxthz78SJE8jJyUHLli2RmJiIuXPnwtXVlSekZowxxhhjjDHGqtCoi+RJSUlYtGgRkpKSYGdnh+HDh+OLL77QdlgvPKFQiA0bNmD27NkgIrRo0QLHjh3j8bUYY0wNioqKMH/+fNy+fRsSiQSdO3fGpk2bGuQY3owxxhhjjDHGWEPwQg23whhjjDHGGGOMMcYYY4yV9fxMpc0YY4wxxhhjjDHGGGOMqRkXyRljjDHGGGOMMcYYY4y9sLhIzhhjjDHGGGOMMcYYY+yFxUVyxhhjjDHGGGOMMcYYYy8sLpIzxhhjjDHGGGOMMcYYe2FxkZwxxhhjjDHGGGOMMcbYC4uL5IwxxhhjjDHGGGOMMcZeWFwkZ4wxxhhjjDHGGGOMMfbC4iI5Y4wxxhhjjDHGGGOMsRfW/wF2TxfJrwwGPAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (20,20))\n", + "sns.heatmap(data.corr(), annot = True, cmap = 'coolwarm') # looking for strong correlations with \"class\" row " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(400, 25)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['age', 'bp', 'sg', 'al', 'su', 'rbc', 'pc', 'pcc', 'ba', 'bgr', 'bu',\n", + " 'sc', 'sod', 'pot', 'hemo', 'pcv', 'wbcc', 'rbcc', 'htn', 'dm', 'cad',\n", + " 'appet', 'pe', 'ane', 'class'],\n", + " dtype='object')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "age 9\n", + "bp 12\n", + "sg 47\n", + "al 46\n", + "su 49\n", + "rbc 152\n", + "pc 65\n", + "pcc 4\n", + "ba 4\n", + "bgr 44\n", + "bu 19\n", + "sc 17\n", + "sod 87\n", + "pot 88\n", + "hemo 52\n", + "pcv 71\n", + "wbcc 106\n", + "rbcc 131\n", + "htn 2\n", + "dm 2\n", + "cad 2\n", + "appet 1\n", + "pe 1\n", + "ane 1\n", + "class 0\n", + "dtype: int64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(400, 158)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape[0], data.dropna().shape[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data.dropna(inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(158, 25)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modeling" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Logistic Regression" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.linear_model import LogisticRegression" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "logreg = LogisticRegression()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X = data.iloc[:,:-1]\n", + "y = data['class']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X,y, stratify = y, shuffle = True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:444: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" + ] + }, + { + "data": { + "text/html": [ + "
LogisticRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LogisticRegression()" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "logreg.fit(X_train,y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Training score\n", + "logreg.score(X_train,y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Testing accuracy\n", + "logreg.score(X_test,y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_pred = logreg.predict(X_test)\n", + "train_pred = logreg.predict(X_train)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import accuracy_score, confusion_matrix ,classification_report" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train Accuracy: 1.0\n", + "Test Accuracy: 1.0\n", + "Test Accuracy: [[29 0]\n", + " [ 0 11]]\n", + "Test Accuracy: precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 29\n", + " 1 1.00 1.00 1.00 11\n", + "\n", + " accuracy 1.00 40\n", + " macro avg 1.00 1.00 1.00 40\n", + "weighted avg 1.00 1.00 1.00 40\n", + "\n" + ] + } + ], + "source": [ + "print('Train Accuracy: ', accuracy_score(y_train, train_pred))\n", + "print('Test Accuracy: ', accuracy_score(y_test, test_pred))\n", + "print('Test Accuracy: ', confusion_matrix(y_test, test_pred))\n", + "print('Test Accuracy: ', classification_report(y_test, test_pred))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The cell below shows the coefficients for each variable.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
agebpsgalsurbcpcpccbabgr...hemopcvwbccrbcchtndmcadappetpeane
00.205984-0.1012890.0034830.3138170.0083450.003960.0983620.0130220.0150510.223814...-0.22417-0.7473610.000785-0.0888310.0902320.0892340.0013880.0013560.006850.013513
\n", + "

1 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " age bp sg al su rbc pc \\\n", + "0 0.205984 -0.101289 0.003483 0.313817 0.008345 0.00396 0.098362 \n", + "\n", + " pcc ba bgr ... hemo pcv wbcc rbcc \\\n", + "0 0.013022 0.015051 0.223814 ... -0.22417 -0.747361 0.000785 -0.088831 \n", + "\n", + " htn dm cad appet pe ane \n", + "0 0.090232 0.089234 0.001388 0.001356 0.00685 0.013513 \n", + "\n", + "[1 rows x 24 columns]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(logreg.coef_, columns=X.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Confusion Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sns.set(font_scale=1.5)\n", + "\n", + "def plot_conf_mat(y_test,y_preds):\n", + " \"\"\"This function will be heloing in plotting the confusion matrix by using seaborn \"\"\"\n", + " ax=sns.heatmap(confusion_matrix(y_test,y_preds),annot=True,cbar=False)\n", + " plt.xlabel(\"True Label\")\n", + " plt.ylabel(\"Predicted Label\")\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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SCvcFslgskiQvLy+NHj1ajz32mNzd3StfLQAAgEHs/hyWm5urYcOGKTIyUjabTY0aNVKrVq3k5+en9PR0RUZG6tSpU7JYLLrlllu0cOFCo2uvEnwOA1wXn8MA1+XQz2ErV67UwYMHVbduXc2ZM0c9e/Ys1Wbz5s2aPn26Nm/erI0bN+quu+6ytzsAAABD2b1Z4ueffy6LxaK33nqrzAAkSbfccoveeOMN2Ww2rVmzxu4iAQAAjGZ3CIqLi1Pz5s117bXXXrRdr1691KRJEx0+fNjergAAAAxndwjy9vaWm1vFHvf19ZWHhyEL0QAAAAxhdwjq0aOHYmJidOTIkYu2S0hIUExMjDp16mRvVwAAAIazOwQ9/vjjslqtmjhxoo4ePVpmmzNnzujRRx+Vu7u7pkyZYm9XAAAAhqvQN6pnnnmmzOuNGjXSoUOHNGjQIPXo0UPt2rWTn5+fMjMzdfToUe3cuVM5OTm68cYb9f3336tNmzaGFg8AAGCvCu0T1Lp1a1ksFl2qadEmiZJKtbVYLIqMjLSzTOdhnyDAdbFPEOC6DNsn6K677ioRcAAAAK50HKB6CYwEAa6LkSDAdVVkJMjuidEAAABXMkNDUEFBQYk/ubm5SktLU1RUlJYsWWJkVwAAAJVSqR0Mv/32Wy1atEhRUVHKzc29ZPuHH364Mt0BAAAYxu4Q9Mcff2jChAnKz8+/5KoxDw8PdezY0d6uAAAADFepU+QvXLigFi1aaNy4cfLx8dFjjz2mgQMH6r777tOpU6e0YcMG7dmzR126dNGKFSsMLBsAAKBy7A5Be/bskbu7uxYuXKirrrpKktSwYUMdP35cvXr1kiQNHjxYkydP1pYtWxQREaHbb7/dmKoBAAAqye6J0cnJyQoODi4OQFLhpop/nR9ksVj0/PPPS5I2bNhQyVIBAACMU6nVYbVr1y7x96ZNmyo/P7/EWWLBwcFq0qSJDh8+XJmuAAAADGV3CAoKCtKZM2dKXGvUqJEkKSYmpsR1Pz8/nTt3zt6uAAAADGd3CGrfvr1Onz6tnTt3Fl9r1qyZbDabdu/eXXwtJydH8fHxqlWrVuUqBQAAMJDdIejOO++UzWbT5MmTNXfuXF24cEEdOnSQj4+P1q9fr40bNyoqKkrTp09XRkZGiblDAAAAzlaps8OefPJJRUREyMPDQ7///rssFovmzJmj999/v9SBqwsWLNCAAQMqXXBV4+wwwHVxdhjgugw7Rb48r7/+unr37q3vv/++OPQ88cQTSklJ0caNG2Wz2eTu7q4xY8ZckQEIAAC4LoedIp+UlKSEhAQ1btxYgYGBjuiiSjASBLguRoIA1+XwkaCLqVevnurVq+eonwcAAKgUQ0+RL0tqaqq6du2q7t27O7orAACACnPYSFCRgoICpaenl5ooDQAA4EwOHwkCAACojghBAADAlAhBAADAlAhBAADAlAhBAADAlAhBAADAlCq0RD4hIcHuDtLS0ux+FgAAwFEqFIJuvvlmR9cBAABQpSoUghx0vBgAAIDTVCgErVy50tF1AAAAVKkKhaBu3bo5ug4AAIAqxeowAABgSoQgAABgSoQgAABgSoQgAABgSoQgAABgSoQgAABgSoQgAABgSoQgAABgShXaLLGgoMCQztzcyFwAAKB6qFAIateuXaU7slgsOnjwYKV/BwAAwAhVdoAqh7ACAIDqpFIHqC5evFi7du1Sjx49NGzYMLVp00Y1a9bU+fPnFR0drbVr12rz5s0aMGCApk6damjhAAAAlWH3AaoRERHavXu3Ro4cqWnTppW636BBA/Xp00cLFizQu+++qx49emj48OGVrxgAAMAAFpud36nuvfdexcfH67vvvpOXl1e57S5cuKDrr79edevW1aZNm+wu1FnyzsY6uwQADuIb3MfZJQBwkAu5Jy/Zxu7lWtHR0WrSpMlFA5AkeXh4KDQ0VMeOHbO3KwAAAMPZHYL8/f2VmJh4yXZ5eXk6duyYAgIC7O0KAADAcHaHoPbt2ys5OVkrVqy4aLsFCxYoNTVVXbp0sbcrAAAAw1VoYnRZxowZox07dmjOnDmKjo7W4MGD1aJFC1mtVmVkZCgyMlKrV6/Wli1b5OXlpXHjxhlZNwAAQKXYPTFakpYuXar58+fLYrGUed9ms8nT01OzZ8/WoEGD7C7SmZgYDbguJkYDrsuhE6Mlafz48QoLC9P1118vT09P2Wy24j9eXl4aMGCANmzYcMUGIAAA4LoqNRL0Vzk5OTp58qTS0tJUu3ZtBQcHy9vb24ifdipGggDXxUgQ4LoqMhJk95ygv/Px8VHz5s2N+jkAAACHMiQE7dy5U9u2bVNsbKzS09MVHh6utLQ0rVy5UsOHD1dgYKAR3QAAABimUiEoOTlZU6ZM0Z49eyQVToQumiSdkJCgxYsXa9WqVVq6dKmuu+66ylcLAABgELtDUG5ursaOHatDhw7J399fvXr10q+//qqkpCRJkpubm2rVqqXU1FSNGTNGmzZtUkhIiGGFVxXmDACu6616Nzq7BABOZPfqsLCwMB06dEgdOnTQ119/rYULF5YIOS1bttTWrVvVsWNHZWdna/ny5YYUDAAAYAS7Q1BERITc3Nw0d+7ccuf8+Pv7a968eXJ3d9fOnTvtLhIAAMBodoeg2NhYNW/eXKGhoRdtFxISoqZNm1bonDEAAICqYncIKigoqHBbT09Pubu729sVAACA4ewOQSEhIYqLi1NGRsZF26WkpCg6OvqKnBQNAABcl90hqG/fvsrLy9PcuXMv2u7ll19Wfn6++vRhlRUAAKg+7F4iP3bsWIWHh2vt2rVKTk7WoEGDlJ6eLkk6cuSIoqKiFBYWpr1798rPz08PPvigUTUDAABUWqXODtu7d68mTJig1NTUMk+St9lsslqtevPNN3XDDTdUqlBn8fDiMx7gqtgnCHBdD5/48JJtKnWKfOfOnfXZZ59p1KhRatiwYYlT5IOCgjRkyBBt3Ljxig1AAADAdRl2irwkZWVlKT09XVarVTVq1DDqZ52KkSDAdTESBLguh44ELV68WBs2bChxzWq1qn79+qUC0DvvvKOnn37a3q4AAAAMV6kQFB4eXqG2X3/9tbZs2WJvVwAAAIar0OqwkydP6scffyx1/ezZs1q/fn25z9lsNiUkJCg6OlpWq9X+KgEAAAxWoRAUFBSkRYsWFZ8QL0kWi0XHjh3TjBkzLvm8zWZTz5497a8SAADAYBUKQT4+Pnrqqaf0xhtvFF9LSEiQl5eX6tSpU+5zbm5uslqtatu2rZ555pnKVwsAAGCQCm+WOGjQIA0aNKj4761bt9Y111yjsLAwhxQGAADgSHbvGD1p0iQ1bNjQyFoAAACqTKVCkCSlp6fryy+/1NChQ0vcX758uTIzMzVs2LCLfjIDAABwhkrtGL1z507169dPL774ok6fPl3i3rfffqu33npLt99+u7777rtKFQkAAGA0u0PQgQMH9MgjjygzM1NNmzZVbm5uifsDBw5U27ZtlZqaqkcffVTx8fGVLhYAAMAodoeg9957TxcuXNDw4cP1xRdfKDQ0tMT9YcOGaf369RoxYoSys7O1dOnSShcLAABgFLtD0J49e1SrVi0999xzZZ4gLxXuJfTMM8/Iz89P33//vd1FAgAAGM3uEJSSkqLQ0FB5eXldtJ23t7eaNGmis2fP2tsVAACA4ewOQUFBQaUmQ5cnJSVF/v7+9nYFAABgOLtDUNu2bXX27Fl9+eWXF223bds2JSYmql27dvZ2BQAAYDi7Q9C9994rm82mqVOn6uOPPy61Oiw3N1cbNmzQM888I4vFonvvvbfSxQIAABjFYrPZbPY+/Mwzz+izzz6TxWKRl5eXmjRpIqvVqszMTB07dky5ubmy2Wy67bbbNH/+fCPrrjIeXiHOLgGAg7xV70ZnlwDAQR4+8eEl29i9Y7Qkvfrqq7r66qu1bNkypaenKyoqqsR9q9WqBx98UBMnTqxMNwAAAIar1EhQkby8PO3Zs0fx8fE6d+6cfH191bRpU3Xp0kV+fn5G1Ok0jAQBrouRIMB1OXwkqIinp6d69uypnj17GvFzAAAADleps8MAAACuVBUaCRoxYoQsFovmzZunBg0aFF+7HBaLRR9+eOmhKQAAgKpQoRC0d+9eWSwWZWdnl7h2Oco7WgMAAMAZKhSCJk6cKIvFooCAgOJrkyZNclhRAAAAjmbI6jBXxuowwHWxOgxwXRVZHcbEaAAAYEoV+hxWUFBgSGdubmQuAABQPVQoBBlx+KnFYtHBgwcr/TsAAABGqFAIMmLaEFOPAABAdVKhELRy5coyry9evFi7du1Sjx49NGzYMLVp00Y1a9bU+fPnFR0drbVr12rz5s0aMGCApk6damjhAAAAlVGhENStW7dS1yIiIrR7926NHDlS06ZNK3W/QYMG6tOnjxYsWKB3331XPXr00PDhwytfMQAAgAHsnqm8YsUK1ahRQ08//fRF202cOFG1atXS6tWr7e0KAADAcHaHoOjoaDVp0kReXl4Xbefh4aHQ0FAdO3bM3q4AAAAMZ3cI8vf3V2Ji4iXb5eXl6dixYyV2mwYAAHA2u0NQ+/btlZycrBUrVly03YIFC5SamqouXbrY2xUAAIDhKjQxuixjxozRjh07NGfOHEVHR2vw4MFq0aKFrFarMjIyFBkZqdWrV2vLli3y8vLSuHHjjKwbAACgUip1dtjSpUs1f/78ck+It9ls8vT01OzZszVo0CC7i3Qmzg4DXBdnhwGuy+Fnh40fP15hYWG6/vrr5enpKZvNVvzHy8tLAwYM0IYNG67YAAQAAFyX3Z/DinTu3FnLli1TTk6OTp48qbS0NNWuXVvBwcHy9vY2okYAAADDVToEFfHx8VHz5s2N+jkAAACHMiQE7dy5U9u2bVNsbKzS09MVHh6utLQ0rVy5UsOHD1dgYKAR3QAAABimUiEoOTlZU6ZM0Z49eyQVToQumiSdkJCgxYsXa9WqVVq6dKmuu+66ylcLAABgELsnRufm5mrs2LHavXu3/Pz8dMstt6h+/fr/98NubqpVq5ZSU1M1ZswYnTx50pCCAQAAjGB3CAoLC9OhQ4fUoUMHff3111q4cKFCQv5vOXnLli21detWdezYUdnZ2Vq+fLkhBQMAABjB7hAUEREhNzc3zZ07t9w5P/7+/po3b57c3d21c+dOu4sEAAAwmt0hKDY2Vs2bN1doaOhF24WEhKhp06YVOmcMAACgqtgdggoKCirc1tPTU+7u7vZ2BQAAYDi7Q1BISIji4uKUkZFx0XYpKSmKjo4uMV8IAADA2ewOQX379lVeXp7mzp170XYvv/yy8vPz1adPH3u7AgAAMJzd+wSNHTtW4eHhWrt2rZKTkzVo0CClp6dLko4cOaKoqCiFhYVp79698vPz04MPPmhUzQAAAJVWqVPk9+7dqwkTJig1NbXMk+RtNpusVqvefPNN3XDDDZUq1Fk4RR5wXZwiD7guh58i37lzZ3322WcaNWqUGjZsWOIU+aCgIA0ZMkQbN268YgMQAABwXXaPBB09elRNmzYtMQKUlZWl9PR0Wa1W1ahRw7AinYmRIMB1MRIEuC6HjgRNnjxZN998s1JSUoqvWa1W1a9f32UCEAAAcF12h6Djx4/L29tbAQEBRtYDAABQJewOQX5+fpe1YSIAAEB1YncIGj58uOLj4/X+++8bWQ8AAECVsHufoGuuuUadOnXS3LlzFRYWpo4dO6pu3bry8fEp95nHHnvM3u4AAAAMZffqsNatW8tisajo8bL2CSpis9lksVgUGRlpX5VOxOowwHWxOgxwXRVZHWb3SFDXrl3tfRQAAMDp7A5Bq1atMrIOAACAKlWpHaMBAACuVJc9EnTw4EHt379fmZmZatiwoXr16qXAwEBH1AYAAOAwFQ5Bx48f17PPPqt9+/aVuO7p6akxY8Zo8uTJcnd3N7xAAAAAR6hQCMrIyNDo0aOVmJiovy8my83N1dKlS5WSkqKZM2c6pEgAAACjVWhOUFhYmBISEuTn56cXXnhBO3fu1P79+7Vx40bdeeedstlsWrdunY4cOeLoegEAAAxRoZGg7du3y2Kx6J133imxNL5169Z67bXX5OPjo7Vr12rr1q1q3ry5w4oFAAAwSoVGguLi4hQcHFzu3kDDhg2TzWbT4cOHDS0OAADAUSoUgjIyMhQUFFTu/WbNmkmSzp07Z0hRAAAAjlahEJSXlydPT89y73t7e0uSzp8/b0xVAAAADmboZol2HkMGAABQ5dgxGqbm6+ujF2Y8oT9+36HM9FidSvhdX3wepn8M5GBN4ErVZsRNevjEh2p9f79Ltm3U9xo9fOJDdX16iOMLQ7VDCIJpWa2+2vL1Or0w40k1u6qxDhyMUmZmlgYM6KfPN32oGdMfd3aJAC5T3euaqcf0+yvUtkbjuur3+kMOrgjVWYV3jE5PT9fu3bsr1YaT51GdLFo4W927d9K+/X9o8N1jdOJEgiRpxIh79N7S1/XiC0/phx/2aOs3O51cKYCKaNizjQYse0xeNXwv2TawdSP9Y/mT8mvAsU9mVuEQFB0drVGjRpV732KxXLSNxWLRwYMHL79CwAGaNWuiEcPvVn5+vkaNnlQcgCQpLCxcLVs007SpU/TCjCcIQUA15+7tqQ4TB6nT5Dvl5nHx45ssbha1HXmzuk+/X56+3lVUIaqrCn8Os9lslf4DVBcPjLhHHh4e+umnvYqMjC51f8nSVZKk3r27KTQ0uKrLA1BBNZvW133fzlWXJ+6WJO16ba3Sj58ps61XLauGbH5F1896UJ6+3vpjxddK3MX+dmZWoZGgrVu3OroOoEr16N5ZkvT9D7vKvJ+QcEpxccfVtGmobrihp8LCwquyPAAV5NcwUDVC6uj03mh9N/0Dnf09Tm2Gl72wwauGVYGtGikl6qS+f3GVTu78Q4PWTaviilGdVCgEhYSEOLoOoEo1b95UknTkSHy5beLjC0NQyxbNqqgqAJcrM/FPfTFqro5/8+sl2+Zl5GjLxLcUu+kn2Qr4OoHLmBMEuJJ69epIks6cTS63TfKfKZKkoCAmTgLVVVrcaaXFna5Q2/PnMnTk0x8dXBGuJCyRhylZrYWrR87nlL/LeXZ2Tom2AADXQgiCKeXn51e4LZP6AcA1EYJgShkZmZIkb5/yl8j6+vpIkrKysqukJgBA1SIEwZTOJv93vk9gQLlt6vx3LtCZM2erpCYAQNWq9hOjX3nlFbuftVgseu655wysBq7i0KFotWzRTE2bhpbbpkmTwntR0bFVVRYAoApV+xC0du1a5eTkFP/9cuZnEIJQnl279umOQQOL9wv6u5CQhmrSpJEk6ccf91RlaQCAKlLtQ9Ann3yiCRMmKDY2VqGhobrzzjudXRJcwPrwz/XyS8+pb9+eatmyuaKijpS4//D4kZKkHTt+UHz8CWeUCABwsGofgpo2bapVq1bp/vvv1/Hjx9W+fXv169fP2WXhChcTc1Qfrd6g4fffrXVrl+nue/5HR47ESZKGD79bTz81QZI0+5WFTqwSAOBIV8TE6KCgIC1YsECenp6aOXOmcnNznV0SXMCUx1/Qb78fVLu2rXTg9x3avesrxUT9pJUrFsnT01PTZ7zK4akA4MKuiBAkSW3atNHIkSOVkJCgjz76yNnlwAX8+WeKru9zh2a+9LqiomPVpvXVCgoK0I4dP2jI0HF69bVFzi4RAOBAFtsVtBNcWlqaVq5cqQYNGmjIkCFV0qeHF+emAa7qrXplH7QJ4Mr38IkPL9mm2s8J+quaNWtq0qRJzi4DAAC4gCvmcxgAAICRCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCULDabzebsIgAAAKoaI0EAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEAAMCUCEEwtaNHj+qpp57SjTfeqGuvvVYDBgzQG2+8oczMTGeXBsBgcXFx6tChg2bNmuXsUlBNEIJgWr/99pvuvvtubdq0SXXr1lW/fv2UlZWld999V8OGDVN6erqzSwRgkLNnz2rChAnKzs52dimoRghBMKW8vDxNmTJFWVlZevXVV7V27VotXLhQW7Zs0U033aSoqCi9/vrrzi4TgAEiIyM1fPhwHTlyxNmloJohBMGUIiIidPLkSfXu3VuDBw8uvu7j46PZs2fLarVq/fr1SktLc2KVACojNTVVc+fO1dChQxUfH69GjRo5uyRUM4QgmNK2bdskSQMGDCh1LyAgQN27d1deXp6+++67qi4NgEFWrlyp9957T4GBgXrnnXd01113ObskVDOEIJhSVFSUJKlVq1Zl3m/RooUk6fDhw1VWEwBjNWjQQM8++6y++uor3XTTTc4uB9WQh7MLAJzh9OnTkqT69euXeb9u3bqSpKSkpCqrCYCx7r33XmeXgGqOkSCYUtEKER8fnzLvF13PysqqspoAAFWLEARTcnd3r1A7m83m4EoAAM5CCIIp+fn5SZLOnz9f5v2cnBxJktVqrbKaAABVixAEU6pXr54k6cyZM2XeL5oLVNQOAOB6CEEwpaJVYdHR0WXej4mJKdEOAOB6CEEwpX79+kmSvv7661L3UlJS9PPPP8vb21s9e/as4soAAFWFEART6t+/v0JCQrR9+3atWbOm+HpOTo6mTZumrKwsDR06VIGBgU6sEgDgSOwTBFPy8fHRa6+9pnHjxunFF1/U2rVr1ahRI+3bt09JSUlq3769Hn/8cWeXCQBwIEaCYFpdu3bVunXrNHDgQCUkJGj79u2qUaOGJk2apA8++KB4BRkAwDVZbGyEAgAATIiRIAAAYEqEIAAAYEqEIAAAYEqEIAAAYEqEIAAAYEqEIAAAYEqEIAAAYEqEIAAAYEocmwGg2IYNG/T8889f9nPdunXTqlWrHFCR4zz33HP65JNPqqz2Vq1aSZKWL1+uXr16ObSvn3/+WaNGjZIkHThwQB4e/KseKAv/ZAAoFhQUpE6dOpW6npiYqMTERHl5eal9+/al7rds2bIqygMAQxGCABTr27ev+vbtW+r6okWLtHjxYtWtW1erV692QmUAYDzmBAEAAFMiBAEAAFPicxgAwxRN/v3+++/16quvauvWrXJzc1O7du30/vvva/r06frkk080aNAgzZs3r9TzRROzQ0JC9M0335S6v3v3bq1atUq//PKLzp07p5o1a6pDhw4aOXKkevbs6fD3K5KWlqY1a9Zox44diomJUUZGhnx9fdW4cWPdeOONGjVqlGrVqlXu85999pk++OADxcTEyMfHRx06dNCoUaPUu3fvMtvn5uZq9erV+uKLLxQTE6O8vDw1bNhQ/fr109ixY1WvXj1HvSrg0ghBAAz36KOPat++fWrZsqX+/PNP1a1bt9IrlObNm6dly5ZJkmrVqqWWLVsqKSlJW7du1datW/XQQw/pqaeeMqL8i4qLi9ODDz6oxMREeXh4qHHjxgoJCdHJkyd14MABHThwQBEREQoPD5efn1+p599++23t3r1bfn5+uvrqq5WQkKDt27dr+/btevTRRzVp0qQS7ZOSkjR+/HhFRkbKYrEoODhYtWvXVkxMjFasWKGNGzfq7bffVufOnR3+7oCrIQQBMNwff/yhVatWqWvXriooKFBaWlqlfm/NmjVatmyZatasqRkzZuiOO+6QJNlsNn355ZeaNm2ali1bpiZNmujee+814hXKNWPGDCUmJqpDhw5atGhR8SiMzWbTp59+queff15Hjx7Vxo0bNWLEiFLP7969W0OGDNG0adNktVqVn5+vpUuX6s0339SiRYvUuXPn4lEtm82myZMnKzIyUp07d9bLL7+sZs2aSZLS09P1yiuvKDw8XBMnTtSmTZtUt25dh7474GqYEwTAcLfeequ6du0qSXJzc1Pt2rXt/q3c3FwtWrRIkjR79uziACRJFotFt912m55++mlJhavYLly4YH/hl3D27FlFR0dLkl566aUSn6EsFovuuusudevWTZJ0+PDhMn+jKMxYrVZJkru7ux555JHi91qyZElx261bt2rfvn2qV6+e3nvvveIAJEk1atTQrFmzdN111yklJUUrVqww9F0BMyAEATCckZ9m9u3bp7Nnz8rPz08333xzmW3uuOMOubm56fTp0zp48KBhff9dnTp19NNPP+nXX38tc2+k/Px8+fv7S5JycnLK/I3hw4fLYrGUuj506FBJhSNFWVlZkqQtW7ZIkvr3718cmv7KYrEUh6dt27bZ8UaAufE5DIDhjPwsUzTykpeXV+bnpSLu7u4qKChQbGysrr32WsP6L4uPj49Onjyp33//XceOHdPx48d15MgRRUZGFgeYgoKCMp9t27ZtmdeLJpVfuHBB8fHxatOmjaKioiQVBpxDhw6V+VzRp8a4uDjZbLYyAxaAshGCABjOx8fHsN9KT0+XVPhZ7Jdffrlk+8rOP7qU2NhYvfjii9q1a1eJ6/7+/urSpYuSkpLKDSySypws/ffr2dnZkqSMjAxJ/7dj98Xk5+crMzOzeCQKwKURggBUOZvNVub1ov/4/5Wvr68kqV27dtqwYYND67qU5ORkPfDAA0pOTlZwcLCGDh2qtm3bqlmzZmrUqJEsFouefPLJi4agopGivysKe5KKl9cXvfuMGTP0wAMPGPgmACRCEIAq5O7uLqnw01ZZkpKSSl276qqrJBV+7rlw4UKZS+1tNpt+/vlnNWjQQMHBwfLy8jKw6v8THh6u5ORk1a5dW+Hh4QoMDCzV5vTp0xf9jdjY2OJ3+quiuUw+Pj5q3LixpMJ3P3ToUPEnwbIkJibq9OnTatiwoerXr385rwOYHhOjAVSZgIAASYVB4O/y8/PL3CCxa9euqlGjhjIzM8sdCdq0aZNGjx6tW2+9VadOnTK26L84ceKEJCk4OLjMABQTE6P9+/dLKnyfsoSHh5d5vegk+z59+sjT01OSdOONN0qSvvjiCyUnJ5f53NSpU3XffffpySefrPiLAJBECAJQhYpWjUVHR2vlypXFn8VSU1M1derU4onAf2W1WjV+/HhJ0qxZsxQeHl5i0vGWLVv04osvSipcml80ilJReXl5+vPPPy/6p+gTVtES9UOHDumrr74q/g2bzaZvv/1W48aNKx7lKuvTnlS47H3+/PnKzc2VVDjX6bXXXtM333wjT09PTZw4sbjtbbfdppYtWyotLU1jx44tMSKUkZGhf/3rX/rhhx9ksViK/28EoOL4HAagyvTt21ddunTRnj17NGvWLL3//vsKCAhQbGys8vLy9OijjxbvCfRXDz30kI4fP661a9dq6tSpmjt3rho1aqTTp08Xf0Lr3LmzZs2addk17du375JHbowaNUrTpk3TkCFD9NFHHyk+Pl6TJ09WSEiIAgIClJiYqOTkZHl6eqpbt27atWtXuZ/FBg4cqCVLlujjjz9Wo0aNdPz4caWmpsrT01OvvPKK2rRpU9zW09NTb7/9tsaNG6fIyEj985//1FVXXSVfX1/FxcUVh7Pnn39eN9xww2W/O2B2hCAAVcbNzU3/+c9/tHz5ckVERCg+Pl7Z2dnq2bOnHnnkEdWuXbvMEGSxWPTSSy9p4MCBWrNmjfbv36/IyEh5e3urQ4cO+uc//6n77rvPYXOBivj7+2v9+vVatmyZtm3bphMnTujs2bNq0KCB+vXrp9GjR8tqtap///46dOiQEhISFBwcXOI3pk+fru7du2v16tWKioqSv7+/brvtNj388MNq3bp1qT5DQ0P1ySefaPXq1frqq6905MgR5eTkKCAgQH369NHIkSOLN6YEcHkstvKWaQAAALgw5gQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABTIgQBAABT+v9uzToK1a3/0gAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "log_pred = logreg.predict(X_test)\n", + "plot_conf_mat(y_test, log_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True Neg: 29\n", + "False Pos: 0\n", + "False Neg: 0\n", + "True Pos: 11\n" + ] + } + ], + "source": [ + "tn, fp, fn, tp = confusion_matrix(y_test, test_pred).ravel()\n", + "\n", + "print(f'True Neg: {tn}')\n", + "print(f'False Pos: {fp}')\n", + "print(f'False Neg: {fn}')\n", + "print(f'True Pos: {tp}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### K-Nearest Neighbors Classifier" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It is a good practice to first balance the class well before using the KNN, as we know that in the case of unbalanced classes KNN does'nt performs well." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 115\n", + "1 43\n", + "Name: class, dtype: int64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"class\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "balanced_df = pd.concat([df[df[\"class\"] == 0], df[df[\"class\"] == 1].sample(n = 115, replace = True)], axis = 0)\n", + "balanced_df.reset_index(drop=True, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 115\n", + "1 115\n", + "Name: class, dtype: int64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "balanced_df[\"class\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X = balanced_df.drop(\"class\", axis=1)\n", + "y = balanced_df[\"class\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X,y, random_state = 42)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ss = StandardScaler()\n", + "ss.fit(X_train)\n", + "X_train = ss.transform(X_train)\n", + "X_test = ss.transform(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.neighbors import KNeighborsClassifier" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted_y [1 0 0 1 0 1 0 1 1 1] Actual_y [1 0 0 1 0 1 0 1 1 1]\n" + ] + }, + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "knn = KNeighborsClassifier()\n", + "\n", + "\n", + "model = knn.fit(X_train,y_train)\n", + "\n", + "preds = model.predict(X_test)\n", + "print(f'Predicted_y { preds[:10]} Actual_y { y_test.values[:10]}')\n", + "\n", + "accuracy_score(y_test, preds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "knn_pred = model.predict(X_test)\n", + "plot_conf_mat(y_test, knn_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True Neg: 26\n", + "False Pos: 0\n", + "False Neg: 0\n", + "True Pos: 32\n" + ] + } + ], + "source": [ + "tn, fp, fn, tp = confusion_matrix(y_test, preds).ravel()\n", + "print(f'True Neg: {tn}')\n", + "print(f'False Pos: {fp}')\n", + "print(f'False Neg: {fn}')\n", + "print(f'True Pos: {tp}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'age': 0.2059840182260687,\n", + " 'bp': -0.10128896824135904,\n", + " 'sg': 0.003482691623799088,\n", + " 'al': 0.3138169341461734,\n", + " 'su': 0.00834502958533336,\n", + " 'rbc': 0.0039601855026949635,\n", + " 'pc': 0.09836168626770891,\n", + " 'pcc': 0.013021541826630416,\n", + " 'ba': 0.015051091247395018,\n", + " 'bgr': 0.22381360764312988,\n", + " 'bu': 0.23807788393214502,\n", + " 'sc': 0.11865672116415196,\n", + " 'sod': -0.12628539658257495,\n", + " 'pot': 0.036724021496680935,\n", + " 'hemo': -0.2241699380240774,\n", + " 'pcv': -0.7473608347420185,\n", + " 'wbcc': 0.0007851922008057635,\n", + " 'rbcc': -0.08883144909352307,\n", + " 'htn': 0.09023197095561493,\n", + " 'dm': 0.08923425046297744,\n", + " 'cad': 0.001387781198437121,\n", + " 'appet': 0.0013561881019386927,\n", + " 'pe': 0.006849832721332024,\n", + " 'ane': 0.013513032625464159}" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# These coef's tell how much and in what way did each one of it contribute to predicting the target variable\n", + "\n", + "feature_dict=dict(zip(df.columns,list(logreg.coef_[0])))\n", + "feature_dict\n", + "#This is a type of Model driven Exploratory data analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Visualize feature importance\n", + "feature_df=pd.DataFrame(feature_dict,index=[0])\n", + "feature_df.T.plot(kind=\"hist\",legend=False,title=\"Feature Importance\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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agebpsgalsurbcpcpccbabgr...pcvwbccrbcchtndmcadappetpeaneclass
348.070.01.0054.00.00.01.01.00.0117.0...32.06700.03.91.00.00.00.01.01.01
953.090.01.0202.00.01.01.01.00.070.0...29.012100.03.71.01.00.00.00.01.01
1163.070.01.0103.00.01.01.01.00.0380.0...32.04500.03.81.01.00.00.01.00.01
1468.080.01.0103.02.00.01.01.01.0157.0...16.011000.02.61.01.01.00.01.00.01
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5 rows × 25 columns

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" + ], + "text/plain": [ + " age bp sg al su rbc pc pcc ba bgr ... pcv \\\n", + "3 48.0 70.0 1.005 4.0 0.0 0.0 1.0 1.0 0.0 117.0 ... 32.0 \n", + "9 53.0 90.0 1.020 2.0 0.0 1.0 1.0 1.0 0.0 70.0 ... 29.0 \n", + "11 63.0 70.0 1.010 3.0 0.0 1.0 1.0 1.0 0.0 380.0 ... 32.0 \n", + "14 68.0 80.0 1.010 3.0 2.0 0.0 1.0 1.0 1.0 157.0 ... 16.0 \n", + "20 61.0 80.0 1.015 2.0 0.0 1.0 1.0 0.0 0.0 173.0 ... 24.0 \n", + "\n", + " wbcc rbcc htn dm cad appet pe ane class \n", + "3 6700.0 3.9 1.0 0.0 0.0 0.0 1.0 1.0 1 \n", + "9 12100.0 3.7 1.0 1.0 0.0 0.0 0.0 1.0 1 \n", + "11 4500.0 3.8 1.0 1.0 0.0 0.0 1.0 0.0 1 \n", + "14 11000.0 2.6 1.0 1.0 1.0 0.0 1.0 0.0 1 \n", + "20 9200.0 3.2 1.0 1.0 1.0 0.0 1.0 1.0 1 \n", + "\n", + "[5 rows x 25 columns]" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\91704\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/plain": [ + "array([1], dtype=int64)" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# putting datapoints in the model it will either return 0 or 1 i.e. person having chronic kideny disease or not\n", + "logreg.predict([[48,80,1.02,1,0,1,0,1,1,2,0,0,1,1,0,1,1,2,0,0,1,0,1,2]]) " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.5 64-bit", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.5" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "3d3907d7b7b6a0fcb038b5b948abe5a6dd916641045e7bdca9eaf9be7a8c87e6" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Python Projects/Kidney_disease_prediction/kidney.csv b/Python Projects/Kidney_disease_prediction/kidney.csv new file mode 100644 index 0000000..0097cd0 --- /dev/null +++ b/Python Projects/Kidney_disease_prediction/kidney.csv @@ -0,0 +1,401 @@ +age,bp,sg,al,su,rbc,pc,pcc,ba,bgr,bu,sc,sod,pot,hemo,pcv,wbcc,rbcc,htn,dm,cad,appet,pe,ane,class +48,80,1.020,1,0,,normal,notpresent,notpresent,121,36,1.2,,,15.4,44,7800,5.2,yes,yes,no,good,no,no,ckd +7,50,1.020,4,0,,normal,notpresent,notpresent,,18,0.8,,,11.3,38,6000,,no,no,no,good,no,no,ckd +62,80,1.010,2,3,normal,normal,notpresent,notpresent,423,53,1.8,,,9.6,31,7500,,no,yes,no,poor,no,yes,ckd +48,70,1.005,4,0,normal,abnormal,present,notpresent,117,56,3.8,111,2.5,11.2,32,6700,3.9,yes,no,no,poor,yes,yes,ckd 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+48,80,1.025,4,0,normal,abnormal,notpresent,notpresent,95,163,7.7,136,3.8,9.8,32,6900,3.4,yes,no,no,good,no,yes,ckd +21,70,1.010,0,0,,normal,notpresent,notpresent,,,,,,,,,,no,no,no,poor,no,yes,ckd +42,100,1.015,4,0,normal,abnormal,notpresent,present,,50,1.4,129,4.0,11.1,39,8300,4.6,yes,no,no,poor,no,no,ckd +61,60,1.025,0,0,,normal,notpresent,notpresent,108,75,1.9,141,5.2,9.9,29,8400,3.7,yes,yes,no,good,no,yes,ckd +75,80,1.015,0,0,,normal,notpresent,notpresent,156,45,2.4,140,3.4,11.6,35,10300,4,yes,yes,no,poor,no,no,ckd +69,70,1.010,3,4,normal,abnormal,notpresent,notpresent,264,87,2.7,130,4.0,12.5,37,9600,4.1,yes,yes,yes,good,yes,no,ckd +75,70,,1,3,,,notpresent,notpresent,123,31,1.4,,,,,,,no,yes,no,good,no,no,ckd +68,70,1.005,1,0,abnormal,abnormal,present,notpresent,,28,1.4,,,12.9,38,,,no,no,yes,good,no,no,ckd +,70,,,,,,notpresent,notpresent,93,155,7.3,132,4.9,,,,,yes,yes,no,good,no,no,ckd 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+65,80,1.015,0,0,,normal,notpresent,notpresent,115,32,11.5,139,4.0,14.1,42,6800,5.2,no,no,no,good,no,no,ckd +50,90,,,,,,notpresent,notpresent,89,118,6.1,127,4.4,6.0,17,6500,,yes,yes,no,good,yes,yes,ckd +55,100,1.015,1,4,normal,,notpresent,notpresent,297,53,2.8,139,4.5,11.2,34,13600,4.4,yes,yes,no,good,no,no,ckd +45,80,1.015,0,0,,abnormal,notpresent,notpresent,107,15,1.0,141,4.2,11.8,37,10200,4.2,no,no,no,good,no,no,ckd +54,70,,,,,,notpresent,notpresent,233,50.1,1.9,,,11.7,,,,no,yes,no,good,no,no,ckd +63,90,1.015,0,0,,normal,notpresent,notpresent,123,19,2.0,142,3.8,11.7,34,11400,4.7,no,no,no,good,no,no,ckd +65,80,1.010,3,3,,normal,notpresent,notpresent,294,71,4.4,128,5.4,10.0,32,9000,3.9,yes,yes,yes,good,no,no,ckd +,60,1.015,3,0,abnormal,abnormal,notpresent,notpresent,,34,1.2,,,10.8,33,,,no,no,no,good,no,no,ckd +61,90,1.015,0,2,,normal,notpresent,notpresent,,,,,,,,9800,,no,yes,no,poor,no,yes,ckd 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+65,100,1.015,0,0,,normal,notpresent,notpresent,90,98,2.5,,,9.1,28,5500,3.6,yes,no,no,good,no,no,ckd +72,90,,,,,,notpresent,notpresent,308,36,2.5,131,4.3,,,,,yes,yes,no,poor,no,no,ckd +70,90,1.015,0,0,,normal,notpresent,notpresent,144,125,4.0,136,4.6,12.0,37,8200,4.5,yes,yes,no,poor,yes,no,ckd +71,60,1.015,4,0,normal,normal,notpresent,notpresent,118,125,5.3,136,4.9,11.4,35,15200,4.3,yes,yes,no,poor,yes,no,ckd +52,90,1.015,4,3,normal,abnormal,notpresent,notpresent,224,166,5.6,133,47,8.1,23,5000,2.9,yes,yes,no,good,no,yes,ckd +75,70,1.025,1,0,,normal,notpresent,notpresent,158,49,1.4,135,4.7,11.1,,,,yes,no,no,poor,yes,no,ckd +50,90,1.010,2,0,normal,abnormal,present,present,128,208,9.2,134,4.8,8.2,22,16300,2.7,no,no,no,poor,yes,yes,ckd +5,50,1.010,0,0,,normal,notpresent,notpresent,,25,0.6,,,11.8,36,12400,,no,no,no,good,no,no,ckd +50,,,,,normal,,notpresent,notpresent,219,176,13.8,136,4.5,8.6,24,13200,2.7,yes,no,no,good,yes,yes,ckd +70,100,1.015,4,0,normal,normal,notpresent,notpresent,118,125,5.3,136,4.9,12.0,37,8400,8.0,yes,no,no,good,no,no,ckd +47,100,1.010,,,normal,,notpresent,notpresent,122,,16.9,138,5.2,10.8,33,10200,3.8,no,yes,no,good,no,no,ckd +48,80,1.015,0,2,,normal,notpresent,notpresent,214,24,1.3,140,4.0,13.2,39,,,no,yes,no,poor,no,no,ckd +46,90,1.020,,,,normal,notpresent,notpresent,213,68,2.8,146,6.3,9.3,,,,yes,yes,no,good,no,no,ckd +45,60,1.010,2,0,normal,abnormal,present,notpresent,268,86,4.0,134,5.1,10.0,29,9200,,yes,yes,no,good,no,no,ckd +73,,1.010,1,0,,,notpresent,notpresent,95,51,1.6,142,3.5,,,,,no,no,no,good,no,no,ckd +41,70,1.015,2,0,,abnormal,notpresent,present,,68,2.8,132,4.1,11.1,33,,,yes,no,no,good,yes,yes,ckd +69,70,1.010,0,4,,normal,notpresent,notpresent,256,40,1.2,142,5.6,,,,,no,no,no,good,no,no,ckd +67,70,1.010,1,0,normal,normal,notpresent,notpresent,,106,6.0,137,4.9,6.1,19,6500,,yes,no,no,good,no,yes,ckd +72,90,,,,,,notpresent,notpresent,84,145,7.1,135,5.3,,,,,no,yes,no,good,no,no,ckd +41,80,1.015,1,4,abnormal,normal,notpresent,notpresent,210,165,18.0,135,4.7,,,,,no,yes,no,good,no,no,ckd +60,90,1.010,2,0,abnormal,normal,notpresent,notpresent,105,53,2.3,136,5.2,11.1,33,10500,4.1,no,no,no,good,no,no,ckd +57,90,1.015,5,0,abnormal,abnormal,notpresent,present,,322,13.0,126,4.8,8.0,24,4200,3.3,yes,yes,yes,poor,yes,yes,ckd +53,100,1.010,1,3,abnormal,normal,notpresent,notpresent,213,23,1.0,139,4,,,,,no,yes,no,good,no,no,ckd +60,60,1.010,3,1,normal,abnormal,present,notpresent,288,36,1.7,130,3.0,7.9,25,15200,3.0,yes,no,no,poor,no,yes,ckd +69,60,,,,,,notpresent,notpresent,171,26,48.1,,,,,,,yes,no,no,poor,no,no,ckd +65,70,1.020,1,0,abnormal,abnormal,notpresent,notpresent,139,29,1.0,,,10.5,32,,,yes,no,no,good,yes,no,ckd +8,60,1.025,3,0,normal,normal,notpresent,notpresent,78,27,0.9,,,12.3,41,6700,,no,no,no,poor,yes,no,ckd +76,90,,,,,,notpresent,notpresent,172,46,1.7,141,5.5,9.6,30,,,yes,yes,no,good,no,yes,ckd +39,70,1.010,0,0,,normal,notpresent,notpresent,121,20,0.8,133,3.5,10.9,32,,,no,yes,no,good,no,no,ckd +55,90,1.010,2,1,abnormal,abnormal,notpresent,notpresent,273,235,14.2,132,3.4,8.3,22,14600,2.9,yes,yes,no,poor,yes,yes,ckd +56,90,1.005,4,3,abnormal,abnormal,notpresent,notpresent,242,132,16.4,140,4.2,8.4,26,,3,yes,yes,no,poor,yes,yes,ckd +50,70,1.020,3,0,abnormal,normal,present,present,123,40,1.8,,,11.1,36,4700,,no,no,no,good,no,no,ckd +66,90,1.015,2,0,,normal,notpresent,present,153,76,3.3,,,,,,,no,no,no,poor,no,no,ckd +62,70,1.025,3,0,normal,abnormal,notpresent,notpresent,122,42,1.7,136,4.7,12.6,39,7900,3.9,yes,yes,no,good,no,no,ckd +71,60,1.020,3,2,normal,normal,present,notpresent,424,48,1.5,132,4.0,10.9,31,,,yes,yes,yes,good,no,no,ckd +59,80,1.010,1,0,abnormal,normal,notpresent,notpresent,303,35,1.3,122,3.5,10.4,35,10900,4.3,no,yes,no,poor,no,no,ckd +81,60,,,,,,notpresent,notpresent,148,39,2.1,147,4.2,10.9,35,9400,2.4,yes,yes,yes,poor,yes,no,ckd +62,,1.015,3,0,abnormal,,notpresent,notpresent,,,,,,14.3,42,10200,4.8,yes,yes,no,good,no,no,ckd +59,70,,,,,,notpresent,notpresent,204,34,1.5,124,4.1,9.8,37,6000,,no,yes,no,good,no,no,ckd +46,80,1.010,0,0,,normal,notpresent,notpresent,160,40,2,140,4.1,9.0,27,8100,3.2,yes,no,no,poor,no,yes,ckd +14,,1.015,0,0,,,notpresent,notpresent,192,15,0.8,137,4.2,14.3,40,9500,5.4,no,yes,no,poor,yes,no,ckd +60,80,1.020,0,2,,,notpresent,notpresent,,,,,,,,,,no,yes,no,good,no,no,ckd +27,60,,,,,,notpresent,notpresent,76,44,3.9,127,4.3,,,,,no,no,no,poor,yes,yes,ckd +34,70,1.020,0,0,abnormal,normal,notpresent,notpresent,139,19,0.9,,,12.7,42,2200,,no,no,no,poor,no,no,ckd +65,70,1.015,4,4,,normal,present,notpresent,307,28,1.5,,,11.0,39,6700,,yes,yes,no,good,no,no,ckd +,70,1.010,0,2,,normal,notpresent,notpresent,220,68,2.8,,,8.7,27,,,yes,yes,no,good,no,yes,ckd +66,70,1.015,2,5,,normal,notpresent,notpresent,447,41,1.7,131,3.9,12.5,33,9600,4.4,yes,yes,no,good,no,no,ckd +83,70,1.020,3,0,normal,normal,notpresent,notpresent,102,60,2.6,115,5.7,8.7,26,12800,3.1,yes,no,no,poor,no,yes,ckd +62,80,1.010,1,2,,,notpresent,notpresent,309,113,2.9,130,2.5,10.6,34,12800,4.9,no,no,no,good,no,no,ckd +17,70,1.015,1,0,abnormal,normal,notpresent,notpresent,22,1.5,7.3,145,2.8,13.1,41,11200,,no,no,no,good,no,no,ckd +54,70,,,,,,notpresent,notpresent,111,146,7.5,141,4.7,11.0,35,8600,4.6,no,no,no,good,no,no,ckd +60,50,1.010,0,0,,normal,notpresent,notpresent,261,58,2.2,113,3.0,,,4200,3.4,yes,no,no,good,no,no,ckd +21,90,1.010,4,0,normal,abnormal,present,present,107,40,1.7,125,3.5,8.3,23,12400,3.9,no,no,no,good,no,yes,ckd +65,80,1.015,2,1,normal,normal,present,notpresent,215,133,2.5,,,13.2,41,,,no,yes,no,good,no,no,ckd +42,90,1.020,2,0,abnormal,abnormal,present,notpresent,93,153,2.7,139,4.3,9.8,34,9800,,no,no,no,poor,yes,yes,ckd +72,90,1.010,2,0,,abnormal,present,notpresent,124,53,2.3,,,11.9,39,,,no,no,no,good,no,no,ckd +73,90,1.010,1,4,abnormal,abnormal,present,notpresent,234,56,1.9,,,10.3,28,,,no,yes,no,good,no,no,ckd +45,70,1.025,2,0,normal,abnormal,present,notpresent,117,52,2.2,136,3.8,10.0,30,19100,3.7,no,no,no,good,no,no,ckd +61,80,1.020,0,0,,normal,notpresent,notpresent,131,23,0.8,140,4.1,11.3,35,,,no,no,no,good,no,no,ckd +30,70,1.015,0,0,,normal,notpresent,notpresent,101,106,6.5,135,4.3,,,,,no,no,no,poor,no,no,ckd +54,60,1.015,3,2,,abnormal,notpresent,notpresent,352,137,3.3,133,4.5,11.3,31,5800,3.6,yes,yes,yes,poor,yes,no,ckd +4,,1.020,1,0,,normal,notpresent,notpresent,99,23,0.6,138,4.4,12,34,,,no,no,no,good,no,no,ckd +8,50,1.020,4,0,normal,normal,notpresent,notpresent,,46,1.0,135,3.8,,,,,no,no,no,good,yes,no,ckd +3,,1.010,2,0,normal,normal,notpresent,notpresent,,22,0.7,,,10.7,34,12300,,no,no,no,good,no,no,ckd +8,,,,,,,notpresent,notpresent,80,66,2.5,142,3.6,12.2,38,,,no,no,no,good,no,no,ckd +64,60,1.010,4,1,abnormal,abnormal,notpresent,present,239,58,4.3,137,5.4,9.5,29,7500,3.4,yes,yes,no,poor,yes,no,ckd +6,60,1.010,4,0,abnormal,abnormal,notpresent,present,94,67,1.0,135,4.9,9.9,30,16700,4.8,no,no,no,poor,no,no,ckd +,70,1.010,3,0,normal,normal,notpresent,notpresent,110,115,6.0,134,2.7,9.1,26,9200,3.4,yes,yes,no,poor,no,no,ckd +46,110,1.015,0,0,,normal,notpresent,notpresent,130,16,0.9,,,,,,,no,no,no,good,no,no,ckd +32,90,1.025,1,0,abnormal,abnormal,notpresent,notpresent,,223,18.1,113,6.5,5.5,15,2600,2.8,yes,yes,no,poor,yes,yes,ckd +80,70,1.010,2,,,abnormal,notpresent,notpresent,,49,1.2,,,,,,,yes,yes,no,good,no,no,ckd +70,90,1.020,2,1,abnormal,abnormal,notpresent,present,184,98.6,3.3,138,3.9,5.8,,,,yes,yes,yes,poor,no,no,ckd +49,100,1.010,3,0,abnormal,abnormal,notpresent,notpresent,129,158,11.8,122,3.2,8.1,24,9600,3.5,yes,yes,no,poor,yes,yes,ckd +57,80,,,,,,notpresent,notpresent,,111,9.3,124,5.3,6.8,,4300,3.0,yes,yes,no,good,no,yes,ckd +59,100,1.020,4,2,normal,normal,notpresent,notpresent,252,40,3.2,137,4.7,11.2,30,26400,3.9,yes,yes,no,poor,yes,no,ckd +65,80,1.015,0,0,,normal,notpresent,notpresent,92,37,1.5,140,5.2,8.8,25,10700,3.2,yes,no,yes,good,yes,no,ckd +90,90,1.025,1,0,,normal,notpresent,notpresent,139,89,3.0,140,4.1,12.0,37,7900,3.9,yes,yes,no,good,no,no,ckd +64,70,,,,,,notpresent,notpresent,113,94,7.3,137,4.3,7.9,21,,,yes,yes,yes,good,yes,yes,ckd +78,60,,,,,,notpresent,notpresent,114,74,2.9,135,5.9,8.0,24,,,no,yes,no,good,no,yes,ckd +,90,,,,,,notpresent,notpresent,207,80,6.8,142,5.5,8.5,,,,yes,yes,no,good,no,yes,ckd +65,90,1.010,4,2,normal,normal,notpresent,notpresent,172,82,13.5,145,6.3,8.8,31,,,yes,yes,no,good,yes,yes,ckd +61,70,,,,,,notpresent,notpresent,100,28,2.1,,,12.6,43,,,yes,yes,no,good,no,no,ckd +60,70,1.010,1,0,,normal,notpresent,notpresent,109,96,3.9,135,4.0,13.8,41,,,yes,no,no,good,no,no,ckd +50,70,1.010,0,0,,normal,notpresent,notpresent,230,50,2.2,,,12,41,10400,4.6,yes,yes,no,good,no,no,ckd +67,80,,,,,,notpresent,notpresent,341,37,1.5,,,12.3,41,6900,4.9,yes,yes,no,good,no,yes,ckd +19,70,1.020,0,0,,normal,notpresent,notpresent,,,,,,11.5,,6900,,no,no,no,good,no,no,ckd +59,100,1.015,4,2,normal,normal,notpresent,notpresent,255,132,12.8,135,5.7,7.3,20,9800,3.9,yes,yes,yes,good,no,yes,ckd +54,120,1.015,0,0,,normal,notpresent,notpresent,103,18,1.2,,,,,,,no,no,no,good,no,no,ckd +40,70,1.015,3,4,normal,normal,notpresent,notpresent,253,150,11.9,132,5.6,10.9,31,8800,3.4,yes,yes,no,poor,yes,no,ckd +55,80,1.010,3,1,normal,abnormal,present,present,214,73,3.9,137,4.9,10.9,34,7400,3.7,yes,yes,no,good,yes,no,ckd +68,80,1.015,0,0,,abnormal,notpresent,notpresent,171,30,1.0,,,13.7,43,4900,5.2,no,yes,no,good,no,no,ckd +2,,1.010,3,0,normal,abnormal,notpresent,notpresent,,,,,,,,,,no,no,no,good,yes,no,ckd +64,70,1.010,0,0,,normal,notpresent,notpresent,107,15,,,,12.8,38,,,no,no,no,good,no,no,ckd +63,100,1.010,1,0,,normal,notpresent,notpresent,78,61,1.8,141,4.4,12.2,36,10500,4.3,no,yes,no,good,no,no,ckd +33,90,1.015,0,0,,normal,notpresent,notpresent,92,19,0.8,,,11.8,34,7000,,no,no,no,good,no,no,ckd +68,90,1.010,0,0,,normal,notpresent,notpresent,238,57,2.5,,,9.8,28,8000,3.3,yes,yes,no,poor,no,no,ckd +36,80,1.010,0,0,,normal,notpresent,notpresent,103,,,,,11.9,36,8800,,no,no,no,good,no,no,ckd +66,70,1.020,1,0,normal,,notpresent,notpresent,248,30,1.7,138,5.3,,,,,yes,yes,no,good,no,no,ckd +74,60,,,,,,notpresent,notpresent,108,68,1.8,,,,,,,yes,yes,no,good,no,no,ckd +71,90,1.010,0,3,,normal,notpresent,notpresent,303,30,1.3,136,4.1,13.0,38,9200,4.6,yes,yes,no,good,no,no,ckd +34,60,1.020,0,0,,normal,notpresent,notpresent,117,28,2.2,138,3.8,,,,,no,no,no,good,yes,no,ckd +60,90,1.010,3,5,abnormal,normal,notpresent,present,490,95,2.7,131,3.8,11.5,35,12000,4.5,yes,yes,no,good,no,no,ckd 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+45,70,1.010,2,0,,normal,notpresent,notpresent,113,93,2.3,,,7.9,26,5700,,no,no,yes,good,no,yes,ckd +65,80,,,,,,notpresent,notpresent,74,66,2.0,136,5.4,9.1,25,,,yes,yes,yes,good,yes,no,ckd +80,70,1.015,2,2,,normal,notpresent,notpresent,141,53,2.2,,,12.7,40,9600,,yes,yes,no,poor,yes,no,ckd +72,100,,,,,,notpresent,notpresent,201,241,13.4,127,4.8,9.4,28,,,yes,yes,no,good,no,yes,ckd +34,90,1.015,2,0,normal,normal,notpresent,notpresent,104,50,1.6,137,4.1,11.9,39,,,no,no,no,good,no,no,ckd +65,70,1.015,1,0,,normal,notpresent,notpresent,203,46,1.4,,,11.4,36,5000,4.1,yes,yes,no,poor,yes,no,ckd +57,70,1.015,1,0,,abnormal,notpresent,notpresent,165,45,1.5,140,3.3,10.4,31,4200,3.9,no,no,no,good,no,no,ckd +69,70,1.010,4,3,normal,abnormal,present,present,214,96,6.3,120,3.9,9.4,28,11500,3.3,yes,yes,yes,good,yes,yes,ckd +62,90,1.020,2,1,,normal,notpresent,notpresent,169,48,2.4,138,2.9,13.4,47,11000,6.1,yes,no,no,good,no,no,ckd +64,90,1.015,3,2,,abnormal,present,notpresent,463,64,2.8,135,4.1,12.2,40,9800,4.6,yes,yes,no,good,no,yes,ckd +48,100,,,,,,notpresent,notpresent,103,79,5.3,135,6.3,6.3,19,7200,2.6,yes,no,yes,poor,no,no,ckd +48,110,1.015,3,0,abnormal,normal,present,notpresent,106,215,15.2,120,5.7,8.6,26,5000,2.5,yes,no,yes,good,no,yes,ckd +54,90,1.025,1,0,normal,abnormal,notpresent,notpresent,150,18,1.2,140,4.2,,,,,no,no,no,poor,yes,yes,ckd +59,70,1.010,1,3,abnormal,abnormal,notpresent,notpresent,424,55,1.7,138,4.5,12.6,37,10200,4.1,yes,yes,yes,good,no,no,ckd +56,90,1.010,4,1,normal,abnormal,present,notpresent,176,309,13.3,124,6.5,3.1,9,5400,2.1,yes,yes,no,poor,yes,yes,ckd +40,80,1.025,0,0,normal,normal,notpresent,notpresent,140,10,1.2,135,5.0,15.0,48,10400,4.5,no,no,no,good,no,no,notckd +23,80,1.025,0,0,normal,normal,notpresent,notpresent,70,36,1.0,150,4.6,17.0,52,9800,5.0,no,no,no,good,no,no,notckd +45,80,1.025,0,0,normal,normal,notpresent,notpresent,82,49,0.6,147,4.4,15.9,46,9100,4.7,no,no,no,good,no,no,notckd +57,80,1.025,0,0,normal,normal,notpresent,notpresent,119,17,1.2,135,4.7,15.4,42,6200,6.2,no,no,no,good,no,no,notckd +51,60,1.025,0,0,normal,normal,notpresent,notpresent,99,38,0.8,135,3.7,13.0,49,8300,5.2,no,no,no,good,no,no,notckd +34,80,1.025,0,0,normal,normal,notpresent,notpresent,121,27,1.2,144,3.9,13.6,52,9200,6.3,no,no,no,good,no,no,notckd +60,80,1.025,0,0,normal,normal,notpresent,notpresent,131,10,0.5,146,5.0,14.5,41,10700,5.1,no,no,no,good,no,no,notckd +38,60,1.020,0,0,normal,normal,notpresent,notpresent,91,36,0.7,135,3.7,14.0,46,9100,5.8,no,no,no,good,no,no,notckd +42,80,1.020,0,0,normal,normal,notpresent,notpresent,98,20,0.5,140,3.5,13.9,44,8400,5.5,no,no,no,good,no,no,notckd +35,80,1.020,0,0,normal,normal,notpresent,notpresent,104,31,1.2,135,5.0,16.1,45,4300,5.2,no,no,no,good,no,no,notckd +30,80,1.020,0,0,normal,normal,notpresent,notpresent,131,38,1.0,147,3.8,14.1,45,9400,5.3,no,no,no,good,no,no,notckd +49,80,1.020,0,0,normal,normal,notpresent,notpresent,122,32,1.2,139,3.9,17.0,41,5600,4.9,no,no,no,good,no,no,notckd +55,80,1.020,0,0,normal,normal,notpresent,notpresent,118,18,0.9,135,3.6,15.5,43,7200,5.4,no,no,no,good,no,no,notckd +45,80,1.020,0,0,normal,normal,notpresent,notpresent,117,46,1.2,137,5.0,16.2,45,8600,5.2,no,no,no,good,no,no,notckd +42,80,1.020,0,0,normal,normal,notpresent,notpresent,132,24,0.7,140,4.1,14.4,50,5000,4.5,no,no,no,good,no,no,notckd +50,80,1.020,0,0,normal,normal,notpresent,notpresent,97,40,0.6,150,4.5,14.2,48,10500,5.0,no,no,no,good,no,no,notckd +55,80,1.020,0,0,normal,normal,notpresent,notpresent,133,17,1.2,135,4.8,13.2,41,6800,5.3,no,no,no,good,no,no,notckd +48,80,1.025,0,0,normal,normal,notpresent,notpresent,122,33,0.9,146,3.9,13.9,48,9500,4.8,no,no,no,good,no,no,notckd +,80,,,,,,notpresent,notpresent,100,49,1.0,140,5.0,16.3,53,8500,4.9,no,no,no,good,no,no,notckd +25,80,1.025,0,0,normal,normal,notpresent,notpresent,121,19,1.2,142,4.9,15.0,48,6900,5.3,no,no,no,good,no,no,notckd +23,80,1.025,0,0,normal,normal,notpresent,notpresent,111,34,1.1,145,4.0,14.3,41,7200,5.0,no,no,no,good,no,no,notckd +30,80,1.025,0,0,normal,normal,notpresent,notpresent,96,25,0.5,144,4.8,13.8,42,9000,4.5,no,no,no,good,no,no,notckd +56,80,1.025,0,0,normal,normal,notpresent,notpresent,139,15,1.2,135,5.0,14.8,42,5600,5.5,no,no,no,good,no,no,notckd +47,80,1.020,0,0,normal,normal,notpresent,notpresent,95,35,0.9,140,4.1,,,,,no,no,no,good,no,no,notckd +19,80,1.020,0,0,normal,normal,notpresent,notpresent,107,23,0.7,141,4.2,14.4,44,,,no,no,no,good,no,no,notckd +52,80,1.020,0,0,normal,normal,notpresent,notpresent,125,22,1.2,139,4.6,16.5,43,4700,4.6,no,no,no,good,no,no,notckd +20,60,1.025,0,0,normal,normal,notpresent,notpresent,,,,137,4.7,14.0,41,4500,5.5,no,no,no,good,no,no,notckd +46,60,1.025,0,0,normal,normal,notpresent,notpresent,123,46,1.0,135,5.0,15.7,50,6300,4.8,no,no,no,good,no,no,notckd +48,60,1.020,0,0,normal,normal,notpresent,notpresent,112,44,1.2,142,4.9,14.5,44,9400,6.4,no,no,no,good,no,no,notckd +24,70,1.025,0,0,normal,normal,notpresent,notpresent,140,23,0.6,140,4.7,16.3,48,5800,5.6,no,no,no,good,no,no,notckd +47,80,,,,,,notpresent,notpresent,93,33,0.9,144,4.5,13.3,52,8100,5.2,no,no,no,good,no,no,notckd +55,80,1.025,0,0,normal,normal,notpresent,notpresent,130,50,1.2,147,5,15.5,41,9100,6.0,no,no,no,good,no,no,notckd +20,70,1.020,0,0,normal,normal,notpresent,notpresent,123,44,1.0,135,3.8,14.6,44,5500,4.8,no,no,no,good,no,no,notckd +60,70,1.020,0,0,normal,normal,notpresent,notpresent,,,,,,16.4,43,10800,5.7,no,no,no,good,no,no,notckd +33,80,1.025,0,0,normal,normal,notpresent,notpresent,100,37,1.2,142,4.0,16.9,52,6700,6.0,no,no,no,good,no,no,notckd +66,70,1.020,0,0,normal,normal,notpresent,notpresent,94,19,0.7,135,3.9,16.0,41,5300,5.9,no,no,no,good,no,no,notckd +71,70,1.020,0,0,normal,normal,notpresent,notpresent,81,18,0.8,145,5.0,14.7,44,9800,6.0,no,no,no,good,no,no,notckd +39,70,1.025,0,0,normal,normal,notpresent,notpresent,124,22,0.6,137,3.8,13.4,43,,,no,no,no,good,no,no,notckd +56,70,1.025,0,0,normal,normal,notpresent,notpresent,70,46,1.2,135,4.9,15.9,50,11000,5.1,,,,good,no,no,notckd +42,70,1.020,0,0,normal,normal,notpresent,notpresent,93,32,0.9,143,4.7,16.6,43,7100,5.3,no,no,no,good,no,no,notckd +54,70,1.020,0,0,,,,,76,28,0.6,146,3.5,14.8,52,8400,5.9,no,no,no,good,no,no,notckd +47,80,1.025,0,0,normal,normal,notpresent,notpresent,124,44,1.0,140,4.9,14.9,41,7000,5.7,no,no,no,good,no,no,notckd +30,80,1.020,0,0,normal,normal,notpresent,notpresent,89,42,0.5,139,5.0,16.7,52,10200,5.0,no,no,no,good,no,no,notckd +50,,1.020,0,0,normal,normal,notpresent,notpresent,92,19,1.2,150,4.8,14.9,48,4700,5.4,no,no,no,good,no,no,notckd +75,60,1.020,0,0,normal,normal,notpresent,notpresent,110,50,0.7,135,5.0,14.3,40,8300,5.8,no,no,no,,,,notckd +44,70,,,,,,notpresent,notpresent,106,25,0.9,150,3.6,15.0,50,9600,6.5,no,no,no,good,no,no,notckd +41,70,1.020,0,0,normal,normal,notpresent,notpresent,125,38,0.6,140,5.0,16.8,41,6300,5.9,no,no,no,good,no,no,notckd +53,60,1.025,0,0,normal,normal,notpresent,notpresent,116,26,1.0,146,4.9,15.8,45,7700,5.2,,,,good,no,no,notckd +34,60,1.020,0,0,normal,normal,notpresent,notpresent,91,49,1.2,135,4.5,13.5,48,8600,4.9,no,no,no,good,no,no,notckd +73,60,1.020,0,0,normal,normal,notpresent,notpresent,127,48,0.5,150,3.5,15.1,52,11000,4.7,no,no,no,good,no,no,notckd +45,60,1.020,0,0,normal,normal,,,114,26,0.7,141,4.2,15.0,43,9200,5.8,no,no,no,good,no,no,notckd +44,60,1.025,0,0,normal,normal,notpresent,notpresent,96,33,0.9,147,4.5,16.9,41,7200,5.0,no,no,no,good,no,no,notckd +29,70,1.020,0,0,normal,normal,notpresent,notpresent,127,44,1.2,145,5.0,14.8,48,,,no,no,no,good,no,no,notckd +55,70,1.020,0,0,normal,normal,notpresent,notpresent,107,26,1.1,,,17.0,50,6700,6.1,no,no,no,good,no,no,notckd +33,80,1.025,0,0,normal,normal,notpresent,notpresent,128,38,0.6,135,3.9,13.1,45,6200,4.5,no,no,no,good,no,no,notckd +41,80,1.020,0,0,normal,normal,notpresent,notpresent,122,25,0.8,138,5.0,17.1,41,9100,5.2,no,no,no,good,no,no,notckd +52,80,1.020,0,0,normal,normal,notpresent,notpresent,128,30,1.2,140,4.5,15.2,52,4300,5.7,no,no,no,good,no,no,notckd +47,60,1.020,0,0,normal,normal,notpresent,notpresent,137,17,0.5,150,3.5,13.6,44,7900,4.5,no,no,no,good,no,no,notckd +43,80,1.025,0,0,normal,normal,notpresent,notpresent,81,46,0.6,135,4.9,13.9,48,6900,4.9,no,no,no,good,no,no,notckd +51,60,1.020,0,0,,,notpresent,notpresent,129,25,1.2,139,5.0,17.2,40,8100,5.9,no,no,no,good,no,no,notckd +46,60,1.020,0,0,normal,normal,notpresent,notpresent,102,27,0.7,142,4.9,13.2,44,11000,5.4,no,no,no,good,no,no,notckd +56,60,1.025,0,0,normal,normal,notpresent,notpresent,132,18,1.1,147,4.7,13.7,45,7500,5.6,no,no,no,good,no,no,notckd +80,70,1.020,0,0,normal,normal,notpresent,notpresent,,,,135,4.1,15.3,48,6300,6.1,no,no,no,good,no,no,notckd +55,80,1.020,0,0,normal,normal,notpresent,notpresent,104,28,0.9,142,4.8,17.3,52,8200,4.8,no,no,no,good,no,no,notckd +39,70,1.025,0,0,normal,normal,notpresent,notpresent,131,46,0.6,145,5.0,15.6,41,9400,4.7,no,no,no,good,no,no,notckd +44,70,1.025,0,0,normal,normal,notpresent,notpresent,,,,,,13.8,48,7800,4.4,no,no,no,good,no,no,notckd +35,,1.020,0,0,normal,normal,,,99,30,0.5,135,4.9,15.4,48,5000,5.2,no,no,no,good,no,no,notckd +58,70,1.020,0,0,normal,normal,notpresent,notpresent,102,48,1.2,139,4.3,15.0,40,8100,4.9,no,no,no,good,no,no,notckd +61,70,1.025,0,0,normal,normal,notpresent,notpresent,120,29,0.7,137,3.5,17.4,52,7000,5.3,no,no,no,good,no,no,notckd +30,60,1.020,0,0,normal,normal,notpresent,notpresent,138,15,1.1,135,4.4,,,,,no,no,no,good,no,no,notckd +57,60,1.020,0,0,normal,normal,notpresent,notpresent,105,49,1.2,150,4.7,15.7,44,10400,6.2,no,no,no,good,no,no,notckd +65,60,1.020,0,0,normal,normal,notpresent,notpresent,109,39,1.0,144,3.5,13.9,48,9600,4.8,no,no,no,good,no,no,notckd +70,60,,,,,,notpresent,notpresent,120,40,0.5,140,4.6,16.0,43,4500,4.9,no,no,no,good,no,no,notckd +43,80,1.025,0,0,normal,normal,notpresent,notpresent,130,30,1.1,143,5.0,15.9,45,7800,4.5,no,no,no,good,no,no,notckd +40,80,1.020,0,0,normal,normal,notpresent,notpresent,119,15,0.7,150,4.9,,,,,no,no,no,good,no,no,notckd +58,80,1.020,0,0,normal,normal,notpresent,notpresent,100,50,1.2,140,3.5,14.0,50,6700,6.5,no,no,no,good,no,no,notckd +47,60,1.020,0,0,normal,normal,notpresent,notpresent,109,25,1.1,141,4.7,15.8,41,8300,5.2,no,no,no,good,no,no,notckd +30,60,1.025,0,0,normal,normal,notpresent,notpresent,120,31,0.8,150,4.6,13.4,44,10700,5.8,no,no,no,good,no,no,notckd +28,70,1.020,0,0,normal,normal,,,131,29,0.6,145,4.9,,45,8600,6.5,no,no,no,good,no,no,notckd +33,60,1.025,0,0,normal,normal,notpresent,notpresent,80,25,0.9,146,3.5,14.1,48,7800,5.1,no,no,no,good,no,no,notckd +43,80,1.020,0,0,normal,normal,notpresent,notpresent,114,32,1.1,135,3.9,,42,,,no,no,no,good,no,no,notckd +59,70,1.025,0,0,normal,normal,notpresent,notpresent,130,39,0.7,147,4.7,13.5,46,6700,4.5,no,no,no,good,no,no,notckd +34,70,1.025,0,0,normal,normal,notpresent,notpresent,,33,1,150,5.0,15.3,44,10500,6.1,no,no,no,good,no,no,notckd +23,80,1.020,0,0,normal,normal,notpresent,notpresent,99,46,1.2,142,4.0,17.7,46,4300,5.5,no,no,no,good,no,no,notckd +24,80,1.025,0,0,normal,normal,notpresent,notpresent,125,,,136,3.5,15.4,43,5600,4.5,no,no,no,good,no,no,notckd +60,60,1.020,0,0,normal,normal,notpresent,notpresent,134,45,0.5,139,4.8,14.2,48,10700,5.6,no,no,no,good,no,no,notckd +25,60,1.020,0,0,normal,normal,notpresent,notpresent,119,27,0.5,,,15.2,40,9200,5.2,no,no,no,good,no,no,notckd +44,70,1.025,0,0,normal,normal,notpresent,notpresent,92,40,0.9,141,4.9,14.0,52,7500,6.2,no,no,no,good,no,no,notckd +62,80,1.020,0,0,normal,normal,notpresent,notpresent,132,34,0.8,147,3.5,17.8,44,4700,4.5,no,no,no,good,no,no,notckd +25,70,1.020,0,0,normal,normal,notpresent,notpresent,88,42,0.5,136,3.5,13.3,48,7000,4.9,no,no,no,good,no,no,notckd +32,70,1.025,0,0,normal,normal,notpresent,notpresent,100,29,1.1,142,4.5,14.3,43,6700,5.9,no,no,no,good,no,no,notckd +63,70,1.025,0,0,normal,normal,notpresent,notpresent,130,37,0.9,150,5.0,13.4,41,7300,4.7,no,no,no,good,no,no,notckd +44,60,1.020,0,0,normal,normal,notpresent,notpresent,95,46,0.5,138,4.2,15.0,50,7700,6.3,no,no,no,good,no,no,notckd +37,60,1.025,0,0,normal,normal,notpresent,notpresent,111,35,0.8,135,4.1,16.2,50,5500,5.7,no,no,no,good,no,no,notckd +64,60,1.020,0,0,normal,normal,notpresent,notpresent,106,27,0.7,150,3.3,14.4,42,8100,4.7,no,no,no,good,no,no,notckd +22,60,1.025,0,0,normal,normal,notpresent,notpresent,97,18,1.2,138,4.3,13.5,42,7900,6.4,no,no,no,good,no,no,notckd +33,60,,,,normal,normal,notpresent,notpresent,130,41,0.9,141,4.4,15.5,52,4300,5.8,no,no,no,good,no,no,notckd +43,60,1.025,0,0,normal,normal,notpresent,notpresent,108,25,1.0,144,5.0,17.8,43,7200,5.5,no,no,no,good,no,no,notckd +38,80,1.020,0,0,normal,normal,notpresent,notpresent,99,19,0.5,147,3.5,13.6,44,7300,6.4,no,no,no,good,no,no,notckd +35,70,1.025,0,0,,,notpresent,notpresent,82,36,1.1,150,3.5,14.5,52,9400,6.1,no,no,no,good,no,no,notckd +65,70,1.025,0,0,,,notpresent,notpresent,85,20,1.0,142,4.8,16.1,43,9600,4.5,no,no,no,good,no,no,notckd +29,80,1.020,0,0,normal,normal,notpresent,notpresent,83,49,0.9,139,3.3,17.5,40,9900,4.7,no,no,no,good,no,no,notckd +37,60,1.020,0,0,normal,normal,notpresent,notpresent,109,47,1.1,141,4.9,15.0,48,7000,5.2,no,no,no,good,no,no,notckd +39,60,1.020,0,0,normal,normal,notpresent,notpresent,86,37,0.6,150,5.0,13.6,51,5800,4.5,no,no,no,good,no,no,notckd +32,60,1.025,0,0,normal,normal,notpresent,notpresent,102,17,0.4,147,4.7,14.6,41,6800,5.1,no,no,no,good,no,no,notckd +23,60,1.020,0,0,normal,normal,notpresent,notpresent,95,24,0.8,145,5.0,15,52,6300,4.6,no,no,no,good,no,no,notckd +34,70,1.025,0,0,normal,normal,notpresent,notpresent,87,38,0.5,144,4.8,17.1,47,7400,6.1,no,no,no,good,no,no,notckd +66,70,1.025,0,0,normal,normal,notpresent,notpresent,107,16,1.1,140,3.6,13.6,42,11000,4.9,no,no,no,good,no,no,notckd +47,60,1.020,0,0,normal,normal,notpresent,notpresent,117,22,1.2,138,3.5,13,45,5200,5.6,no,no,no,good,no,no,notckd +74,60,1.020,0,0,normal,normal,notpresent,notpresent,88,50,0.6,147,3.7,17.2,53,6000,4.5,no,no,no,good,no,no,notckd +35,60,1.025,0,0,normal,normal,notpresent,notpresent,105,39,0.5,135,3.9,14.7,43,5800,6.2,no,no,no,good,no,no,notckd +29,80,1.020,0,0,normal,normal,notpresent,notpresent,70,16,0.7,138,3.5,13.7,54,5400,5.8,no,no,no,good,no,no,notckd +33,80,1.025,0,0,normal,normal,notpresent,notpresent,89,19,1.1,144,5.0,15,40,10300,4.8,no,no,no,good,no,no,notckd +67,80,1.025,0,0,normal,normal,notpresent,notpresent,99,40,0.5,,,17.8,44,5900,5.2,no,no,no,good,no,no,notckd +73,80,1.025,0,0,normal,normal,notpresent,notpresent,118,44,0.7,137,3.5,14.8,45,9300,4.7,no,no,no,good,no,no,notckd +24,80,1.020,0,0,normal,normal,notpresent,notpresent,93,46,1.0,145,3.5,,,10700,6.3,no,no,no,good,no,no,notckd +60,80,1.025,0,0,normal,normal,notpresent,notpresent,81,15,0.5,141,3.6,15,46,10500,5.3,no,no,no,good,no,no,notckd +68,60,1.025,0,0,normal,normal,notpresent,notpresent,125,41,1.1,139,3.8,17.4,50,6700,6.1,no,no,no,good,no,no,notckd +30,80,1.025,0,0,normal,normal,notpresent,notpresent,82,42,0.7,146,5.0,14.9,45,9400,5.9,no,no,no,good,no,no,notckd +75,70,1.020,0,0,normal,normal,notpresent,notpresent,107,48,0.8,144,3.5,13.6,46,10300,4.8,no,no,no,good,no,no,notckd +69,70,1.020,0,0,normal,normal,notpresent,notpresent,83,42,1.2,139,3.7,16.2,50,9300,5.4,no,no,no,good,no,no,notckd +28,60,1.025,0,0,normal,normal,notpresent,notpresent,79,50,0.5,145,5.0,17.6,51,6500,5.0,no,no,no,good,no,no,notckd +72,60,1.020,0,0,normal,normal,notpresent,notpresent,109,26,0.9,150,4.9,15,52,10500,5.5,no,no,no,good,no,no,notckd +61,70,1.025,0,0,normal,normal,notpresent,notpresent,133,38,1.0,142,3.6,13.7,47,9200,4.9,no,no,no,good,no,no,notckd +79,80,1.025,0,0,normal,normal,notpresent,notpresent,111,44,1.2,146,3.6,16.3,40,8000,6.4,no,no,no,good,no,no,notckd +70,80,1.020,0,0,normal,normal,notpresent,notpresent,74,41,0.5,143,4.5,15.1,48,9700,5.6,no,no,no,good,no,no,notckd +58,70,1.025,0,0,normal,normal,notpresent,notpresent,88,16,1.1,147,3.5,16.4,53,9100,5.2,no,no,no,good,no,no,notckd +64,70,1.020,0,0,normal,normal,notpresent,notpresent,97,27,0.7,145,4.8,13.8,49,6400,4.8,no,no,no,good,no,no,notckd +71,60,1.025,0,0,normal,normal,notpresent,notpresent,,,0.9,140,4.8,15.2,42,7700,5.5,no,no,no,good,no,no,notckd +62,80,1.025,0,0,normal,normal,notpresent,notpresent,78,45,0.6,138,3.5,16.1,50,5400,5.7,no,no,no,good,no,no,notckd +59,60,1.020,0,0,normal,normal,notpresent,notpresent,113,23,1.1,139,3.5,15.3,54,6500,4.9,no,no,no,good,no,no,notckd +71,70,1.025,0,0,,,notpresent,notpresent,79,47,0.5,142,4.8,16.6,40,5800,5.9,no,no,no,good,no,no,notckd +48,80,1.025,0,0,normal,normal,notpresent,notpresent,75,22,0.8,137,5.0,16.8,51,6000,6.5,no,no,no,good,no,no,notckd +80,80,1.025,0,0,normal,normal,notpresent,notpresent,119,46,0.7,141,4.9,13.9,49,5100,5.0,no,no,no,good,no,no,notckd +57,60,1.020,0,0,normal,normal,notpresent,notpresent,132,18,1.1,150,4.7,15.4,42,11000,4.5,no,no,no,good,no,no,notckd +63,70,1.020,0,0,normal,normal,notpresent,notpresent,113,25,0.6,146,4.9,16.5,52,8000,5.1,no,no,no,good,no,no,notckd +46,70,1.025,0,0,normal,normal,notpresent,notpresent,100,47,0.5,142,3.5,16.4,43,5700,6.5,no,no,no,good,no,no,notckd +15,80,1.025,0,0,normal,normal,notpresent,notpresent,93,17,0.9,136,3.9,16.7,50,6200,5.2,no,no,no,good,no,no,notckd +51,80,1.020,0,0,normal,normal,notpresent,notpresent,94,15,1.2,144,3.7,15.5,46,9500,6.4,no,no,no,good,no,no,notckd +41,80,1.025,0,0,normal,normal,notpresent,notpresent,112,48,0.7,140,5.0,17.0,52,7200,5.8,no,no,no,good,no,no,notckd +52,80,1.025,0,0,normal,normal,notpresent,notpresent,99,25,0.8,135,3.7,15.0,52,6300,5.3,no,no,no,good,no,no,notckd +36,80,1.025,0,0,normal,normal,notpresent,notpresent,85,16,1.1,142,4.1,15.6,44,5800,6.3,no,no,no,good,no,no,notckd +57,80,1.020,0,0,normal,normal,notpresent,notpresent,133,48,1.2,147,4.3,14.8,46,6600,5.5,no,no,no,good,no,no,notckd +43,60,1.025,0,0,normal,normal,notpresent,notpresent,117,45,0.7,141,4.4,13.0,54,7400,5.4,no,no,no,good,no,no,notckd +50,80,1.020,0,0,normal,normal,notpresent,notpresent,137,46,0.8,139,5.0,14.1,45,9500,4.6,no,no,no,good,no,no,notckd +55,80,1.020,0,0,normal,normal,notpresent,notpresent,140,49,0.5,150,4.9,15.7,47,6700,4.9,no,no,no,good,no,no,notckd +42,70,1.025,0,0,normal,normal,notpresent,notpresent,75,31,1.2,141,3.5,16.5,54,7800,6.2,no,no,no,good,no,no,notckd +12,80,1.020,0,0,normal,normal,notpresent,notpresent,100,26,0.6,137,4.4,15.8,49,6600,5.4,no,no,no,good,no,no,notckd +17,60,1.025,0,0,normal,normal,notpresent,notpresent,114,50,1.0,135,4.9,14.2,51,7200,5.9,no,no,no,good,no,no,notckd +58,80,1.025,0,0,normal,normal,notpresent,notpresent,131,18,1.1,141,3.5,15.8,53,6800,6.1,no,no,no,good,no,no,notckd \ No newline at end of file