{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Complex Model Search\n",
    "---\n",
    "\n",
    "Download all the Jupyter notebooks from: https://github.com/HeloiseS/hoki_tutorials\n",
    "\n",
    "# Initial Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from hoki import load\n",
    "from time import time\n",
    "import gc\n",
    "\n",
    "plt.style.use('./tuto.mplstyle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "\n",
    "The BPASS outputs contain a lot of information that is pretty much ready for analysis and can be quickly loaded through `hoki` (e.g. HR Diagrams, star counts etc...) \n",
    "\n",
    "But if you're looking to match your observation to specific stellar models present in BPASS, say a binary system with primary ZAMS 9 $M_{\\odot}$ and absolute F814w magnitude = X, then you will need to explore the large library of BPASS stellar models to get those evolution tracks.\n",
    "\n",
    "The best way to go about that is to compile all the relevant data (i.e. the IMFs and metallicities you want, for single or binary models) into one or multiple DataFrames that can then be saved into binary files.\n",
    "**Loading data from binary files is much faster** and it means you won't have to compile your data frome text files multiple times. \n",
    "In this tutorial we will use pre-compiled DataFrames - if you want to learn how to make your own (but you probably won't need to), check the `ModelDataCompiler` tutorial.\n",
    "\n",
    "###  Downloading pre-compiled DataFrames\n",
    "\n",
    "I have already compiled all of the BPASS stellar models for the fiducial IMF (Kroupa 1.35 maximum mass = 300 solar masses) into 26 DataFrames (one for each fo the 13 metallicities times 2 for the binay and single star models). \n",
    "\n",
    "You can find the full data set [**here**](https://zenodo.org/record/4064300#.X3fm63VfhNw) (just download what you need).\n",
    "\n",
    "# Model Search\n",
    "\n",
    "Here we'll demonstrate how to find BPASS models that match a simple set of observational data. We are using two HST magnitudes: F435W=-7.33, F814W=-8.46.\n",
    "\n",
    "We'll crop the data step by step and give a few tips and tricks along the way. \n",
    "\n",
    "\n",
    "### Loading the Data\n",
    "\n",
    "For this particular exercise we are interested in a \"SN\" progenitor in a binary system - we assume solar metallicity, but if you have Z information, use whatever is closest.  \n",
    "\n",
    "**Note:** The required pickle file is NOT included in the tutorial repository because it's too large. You'll have to download it yourself."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_models_z020=pd.read_pickle('./models_z020_bin_v221.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at what we have:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>?</th>\n",
       "      <th>AM_bin</th>\n",
       "      <th>B</th>\n",
       "      <th>B2</th>\n",
       "      <th>C</th>\n",
       "      <th>CO_core1</th>\n",
       "      <th>DAM</th>\n",
       "      <th>DM1A</th>\n",
       "      <th>DM1R</th>\n",
       "      <th>DM1W</th>\n",
       "      <th>...</th>\n",
       "      <th>z</th>\n",
       "      <th>z2</th>\n",
       "      <th>filenames</th>\n",
       "      <th>model_imf</th>\n",
       "      <th>types</th>\n",
       "      <th>mixed_imf</th>\n",
       "      <th>mixed_age</th>\n",
       "      <th>initial_BH</th>\n",
       "      <th>initial_P</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.30896</td>\n",
       "      <td>4.83652e+49</td>\n",
       "      <td>-6.217291</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.16506e+43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.89633e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.494487</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-65</td>\n",
       "      <td>0.0778658</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.30896</td>\n",
       "      <td>4.83641e+49</td>\n",
       "      <td>-6.185996</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.92552e+42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.15485e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.457620</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-65</td>\n",
       "      <td>0.0778658</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.30897</td>\n",
       "      <td>4.83641e+49</td>\n",
       "      <td>-6.169761</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.60184e+42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.24452e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.440918</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-65</td>\n",
       "      <td>0.0778658</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.30897</td>\n",
       "      <td>4.83641e+49</td>\n",
       "      <td>-6.153298</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.39289e+42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.31861e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.423736</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-65</td>\n",
       "      <td>0.0778658</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.30897</td>\n",
       "      <td>4.83641e+49</td>\n",
       "      <td>-6.136751</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.23073e+42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.38489e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.406273</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-65</td>\n",
       "      <td>0.0778658</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674010</th>\n",
       "      <td>-0.36221</td>\n",
       "      <td>2.27212e+48</td>\n",
       "      <td>19.097040</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1228691-243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3168876-307</td>\n",
       "      <td>...</td>\n",
       "      <td>15.096950</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-0.6</td>\n",
       "      <td>43.7266</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674011</th>\n",
       "      <td>-0.36221</td>\n",
       "      <td>2.27212e+48</td>\n",
       "      <td>19.189880</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1255959-243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3168876-307</td>\n",
       "      <td>...</td>\n",
       "      <td>15.140240</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-0.6</td>\n",
       "      <td>43.7266</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674012</th>\n",
       "      <td>-0.36221</td>\n",
       "      <td>2.27212e+48</td>\n",
       "      <td>19.289070</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1282466-243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3168876-307</td>\n",
       "      <td>...</td>\n",
       "      <td>15.183800</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-0.6</td>\n",
       "      <td>43.7266</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674013</th>\n",
       "      <td>-0.36221</td>\n",
       "      <td>2.27212e+48</td>\n",
       "      <td>19.395370</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1305542-243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3168876-307</td>\n",
       "      <td>...</td>\n",
       "      <td>15.227470</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-0.6</td>\n",
       "      <td>43.7266</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2674014</th>\n",
       "      <td>-0.36221</td>\n",
       "      <td>2.27212e+48</td>\n",
       "      <td>19.509870</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.003439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1317481-243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3168876-307</td>\n",
       "      <td>...</td>\n",
       "      <td>15.271070</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NEWSINMODS/z020/sneplot-z020-0.6</td>\n",
       "      <td>43.7266</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2674015 rows × 102 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               ?       AM_bin          B    B2         C  CO_core1  \\\n",
       "0       -0.30896  4.83652e+49  -6.217291  99.0  0.003460       0.0   \n",
       "1       -0.30896  4.83641e+49  -6.185996  99.0  0.003460       0.0   \n",
       "2       -0.30897  4.83641e+49  -6.169761  99.0  0.003460       0.0   \n",
       "3       -0.30897  4.83641e+49  -6.153298  99.0  0.003460       0.0   \n",
       "4       -0.30897  4.83641e+49  -6.136751  99.0  0.003460       0.0   \n",
       "...          ...          ...        ...   ...       ...       ...   \n",
       "2674010 -0.36221  2.27212e+48  19.097040  99.0  0.003439       0.0   \n",
       "2674011 -0.36221  2.27212e+48  19.189880  99.0  0.003439       0.0   \n",
       "2674012 -0.36221  2.27212e+48  19.289070  99.0  0.003439       0.0   \n",
       "2674013 -0.36221  2.27212e+48  19.395370  99.0  0.003439       0.0   \n",
       "2674014 -0.36221  2.27212e+48  19.509870  99.0  0.003439       0.0   \n",
       "\n",
       "                   DAM  DM1A  DM1R           DM1W  ...          z    z2  \\\n",
       "0          3.16506e+43   0.0   0.0    8.89633e-14  ...  -5.494487  99.0   \n",
       "1          1.92552e+42   0.0   0.0    9.15485e-14  ...  -5.457620  99.0   \n",
       "2          1.60184e+42   0.0   0.0    9.24452e-14  ...  -5.440918  99.0   \n",
       "3          1.39289e+42   0.0   0.0    9.31861e-14  ...  -5.423736  99.0   \n",
       "4          1.23073e+42   0.0   0.0    9.38489e-14  ...  -5.406273  99.0   \n",
       "...                ...   ...   ...            ...  ...        ...   ...   \n",
       "2674010  0.1228691-243   0.0   0.0  0.3168876-307  ...  15.096950  99.0   \n",
       "2674011  0.1255959-243   0.0   0.0  0.3168876-307  ...  15.140240  99.0   \n",
       "2674012  0.1282466-243   0.0   0.0  0.3168876-307  ...  15.183800  99.0   \n",
       "2674013  0.1305542-243   0.0   0.0  0.3168876-307  ...  15.227470  99.0   \n",
       "2674014  0.1317481-243   0.0   0.0  0.3168876-307  ...  15.271070  99.0   \n",
       "\n",
       "                                filenames  model_imf  types  mixed_imf  \\\n",
       "0         NEWSINMODS/z020/sneplot-z020-65  0.0778658     -1          0   \n",
       "1         NEWSINMODS/z020/sneplot-z020-65  0.0778658     -1          0   \n",
       "2         NEWSINMODS/z020/sneplot-z020-65  0.0778658     -1          0   \n",
       "3         NEWSINMODS/z020/sneplot-z020-65  0.0778658     -1          0   \n",
       "4         NEWSINMODS/z020/sneplot-z020-65  0.0778658     -1          0   \n",
       "...                                   ...        ...    ...        ...   \n",
       "2674010  NEWSINMODS/z020/sneplot-z020-0.6    43.7266      3          0   \n",
       "2674011  NEWSINMODS/z020/sneplot-z020-0.6    43.7266      3          0   \n",
       "2674012  NEWSINMODS/z020/sneplot-z020-0.6    43.7266      3          0   \n",
       "2674013  NEWSINMODS/z020/sneplot-z020-0.6    43.7266      3          0   \n",
       "2674014  NEWSINMODS/z020/sneplot-z020-0.6    43.7266      3          0   \n",
       "\n",
       "         mixed_age  initial_BH  initial_P    z  \n",
       "0                0         NaN        NaN  020  \n",
       "1                0         NaN        NaN  020  \n",
       "2                0         NaN        NaN  020  \n",
       "3                0         NaN        NaN  020  \n",
       "4                0         NaN        NaN  020  \n",
       "...            ...         ...        ...  ...  \n",
       "2674010          0         NaN        NaN  020  \n",
       "2674011          0         NaN        NaN  020  \n",
       "2674012          0         NaN        NaN  020  \n",
       "2674013          0         NaN        NaN  020  \n",
       "2674014          0         NaN        NaN  020  \n",
       "\n",
       "[2674015 rows x 102 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_models_z020"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's 2,503,198 rows and 100 columns.\n",
    "\n",
    "Note that there **aren't** 2.5 million models:  Each model has between 100 and 400 rows (roughly) that contain the time evolution of each column. It's still a lot of models though, but about 2 orders of magnitude fewer than the number of rows. \n",
    "\n",
    "# Chopping off the bulk of models we don't need\n",
    "\n",
    "Before we match our magnitudes, there are a lot of models that are irrelevant to what we are doing that we can get rid of right off the bat. \n",
    "\n",
    "### Binaries only \n",
    "Something important to note is that the BPASS binary models **contain single stars**. Binaries are important, but they are introduced in a proportion similar to what has been observationally determined (see the BPASS manual for more information or just go to Moe and Die Stefano 2017). \n",
    "\n",
    "Since we only care about the binary star models, we can remove most of the 5 `types` - chekc the manual for full descriptions but here is a wuick reminder:\n",
    "- -1: Signle\n",
    "- 0: Merger before MS\n",
    "- 1: Normal Primary\n",
    "- 2: Normal Secondary\n",
    "- 3: Single Secondary\n",
    "- 4: QHE (Quasi Homogeneous Evolution) Secondary (only for low mtallicities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1, 0, 1, 2, 3], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_models_z020.types.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We only want binary so let's create a smaller DataFrame with only these models (types 1 and 2):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "only_binaries=all_models_z020[(all_models_z020.types==2) | (all_models_z020.types==1)].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>?</th>\n",
       "      <th>AM_bin</th>\n",
       "      <th>B</th>\n",
       "      <th>B2</th>\n",
       "      <th>C</th>\n",
       "      <th>CO_core1</th>\n",
       "      <th>DAM</th>\n",
       "      <th>DM1A</th>\n",
       "      <th>DM1R</th>\n",
       "      <th>...</th>\n",
       "      <th>z</th>\n",
       "      <th>z2</th>\n",
       "      <th>filenames</th>\n",
       "      <th>model_imf</th>\n",
       "      <th>types</th>\n",
       "      <th>mixed_imf</th>\n",
       "      <th>mixed_age</th>\n",
       "      <th>initial_BH</th>\n",
       "      <th>initial_P</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>216919</td>\n",
       "      <td>-0.00411</td>\n",
       "      <td>1.28449e+49</td>\n",
       "      <td>-9.090588</td>\n",
       "      <td>120.7212</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>5.21861e+43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.441809</td>\n",
       "      <td>118.5559</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "      <td>0.0694137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>216920</td>\n",
       "      <td>-0.00412</td>\n",
       "      <td>1.28437e+49</td>\n",
       "      <td>-9.027635</td>\n",
       "      <td>120.7212</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.4804e+43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.369311</td>\n",
       "      <td>118.5559</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "      <td>0.0694137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>216921</td>\n",
       "      <td>-0.00412</td>\n",
       "      <td>1.28425e+49</td>\n",
       "      <td>-8.939427</td>\n",
       "      <td>120.7212</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>1.18282e+43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.277122</td>\n",
       "      <td>118.5559</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "      <td>0.0694137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>216922</td>\n",
       "      <td>-0.00412</td>\n",
       "      <td>1.28401e+49</td>\n",
       "      <td>-8.835626</td>\n",
       "      <td>120.7212</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7.6132e+43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.171609</td>\n",
       "      <td>118.5559</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "      <td>0.0694137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>216923</td>\n",
       "      <td>-0.00443</td>\n",
       "      <td>1.2669e+49</td>\n",
       "      <td>-8.894129</td>\n",
       "      <td>120.7212</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2.47932e+45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.231492</td>\n",
       "      <td>118.5559</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "      <td>0.0694137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2120614</th>\n",
       "      <td>2624805</td>\n",
       "      <td>-0.03574</td>\n",
       "      <td>1.19768e+47</td>\n",
       "      <td>-2.930821</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>0.000403</td>\n",
       "      <td>1.09695</td>\n",
       "      <td>4.41908e+41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.643257e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.752302</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...</td>\n",
       "      <td>0.0364456</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2120615</th>\n",
       "      <td>2624806</td>\n",
       "      <td>-0.03574</td>\n",
       "      <td>1.1972e+47</td>\n",
       "      <td>-3.199305</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>1.10326</td>\n",
       "      <td>5.06699e+41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.588900e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.852680</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...</td>\n",
       "      <td>0.0364456</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2120616</th>\n",
       "      <td>2624807</td>\n",
       "      <td>-0.03574</td>\n",
       "      <td>1.19664e+47</td>\n",
       "      <td>-3.330151</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>0.000453</td>\n",
       "      <td>1.11016</td>\n",
       "      <td>2.23323e+41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-5.042884e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.990517</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...</td>\n",
       "      <td>0.0364456</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2120617</th>\n",
       "      <td>2624808</td>\n",
       "      <td>-0.03574</td>\n",
       "      <td>1.19661e+47</td>\n",
       "      <td>-3.332807</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>0.000463</td>\n",
       "      <td>1.11028</td>\n",
       "      <td>2.9105e+38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-5.188726e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.995630</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...</td>\n",
       "      <td>0.0364456</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2120618</th>\n",
       "      <td>2624809</td>\n",
       "      <td>-0.03574</td>\n",
       "      <td>1.19661e+47</td>\n",
       "      <td>-3.332807</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>0.000463</td>\n",
       "      <td>1.11028</td>\n",
       "      <td>2.9105e+38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-5.188726e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.995630</td>\n",
       "      <td>99.0000</td>\n",
       "      <td>NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...</td>\n",
       "      <td>0.0364456</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2120619 rows × 103 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           index        ?       AM_bin         B        B2         C  \\\n",
       "0         216919 -0.00411  1.28449e+49 -9.090588  120.7212  0.003460   \n",
       "1         216920 -0.00412  1.28437e+49 -9.027635  120.7212  0.003460   \n",
       "2         216921 -0.00412  1.28425e+49 -8.939427  120.7212  0.003460   \n",
       "3         216922 -0.00412  1.28401e+49 -8.835626  120.7212  0.003460   \n",
       "4         216923 -0.00443   1.2669e+49 -8.894129  120.7212  0.003460   \n",
       "...          ...      ...          ...       ...       ...       ...   \n",
       "2120614  2624805 -0.03574  1.19768e+47 -2.930821   99.0000  0.000403   \n",
       "2120615  2624806 -0.03574   1.1972e+47 -3.199305   99.0000  0.000340   \n",
       "2120616  2624807 -0.03574  1.19664e+47 -3.330151   99.0000  0.000453   \n",
       "2120617  2624808 -0.03574  1.19661e+47 -3.332807   99.0000  0.000463   \n",
       "2120618  2624809 -0.03574  1.19661e+47 -3.332807   99.0000  0.000463   \n",
       "\n",
       "         CO_core1          DAM  DM1A          DM1R  ...         z        z2  \\\n",
       "0         0.00000  5.21861e+43   0.0 -0.000000e+00  ... -8.441809  118.5559   \n",
       "1         0.00000   1.4804e+43   0.0 -0.000000e+00  ... -8.369311  118.5559   \n",
       "2         0.00000  1.18282e+43   0.0 -0.000000e+00  ... -8.277122  118.5559   \n",
       "3         0.00000   7.6132e+43   0.0 -0.000000e+00  ... -8.171609  118.5559   \n",
       "4         0.00000  2.47932e+45   0.0 -0.000000e+00  ... -8.231492  118.5559   \n",
       "...           ...          ...   ...           ...  ...       ...       ...   \n",
       "2120614   1.09695  4.41908e+41   0.0 -2.643257e-14  ... -6.752302   99.0000   \n",
       "2120615   1.10326  5.06699e+41   0.0 -2.588900e-14  ... -6.852680   99.0000   \n",
       "2120616   1.11016  2.23323e+41   0.0 -5.042884e-14  ... -6.990517   99.0000   \n",
       "2120617   1.11028   2.9105e+38   0.0 -5.188726e-14  ... -6.995630   99.0000   \n",
       "2120618   1.11028   2.9105e+38   0.0 -5.188726e-14  ... -6.995630   99.0000   \n",
       "\n",
       "                                                 filenames  model_imf  types  \\\n",
       "0        NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  0.0694137      1   \n",
       "1        NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  0.0694137      1   \n",
       "2        NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  0.0694137      1   \n",
       "3        NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  0.0694137      1   \n",
       "4        NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  0.0694137      1   \n",
       "...                                                    ...        ...    ...   \n",
       "2120614  NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...  0.0364456      2   \n",
       "2120615  NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...  0.0364456      2   \n",
       "2120616  NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...  0.0364456      2   \n",
       "2120617  NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...  0.0364456      2   \n",
       "2120618  NEWBINMODS/NEWSECMODS/z020_2/sneplot_2-z020-7-...  0.0364456      2   \n",
       "\n",
       "         mixed_imf  mixed_age  initial_BH  initial_P    z  \n",
       "0                0          0         NaN        NaN  020  \n",
       "1                0          0         NaN        NaN  020  \n",
       "2                0          0         NaN        NaN  020  \n",
       "3                0          0         NaN        NaN  020  \n",
       "4                0          0         NaN        NaN  020  \n",
       "...            ...        ...         ...        ...  ...  \n",
       "2120614          0          0         NaN        NaN  020  \n",
       "2120615          0          0         NaN        NaN  020  \n",
       "2120616          0          0         NaN        NaN  020  \n",
       "2120617          0          0         NaN        NaN  020  \n",
       "2120618          0          0         NaN        NaN  020  \n",
       "\n",
       "[2120619 rows x 103 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "only_binaries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One thing we need to be **very careful about** is **memory**.\n",
    "We don't want to fill up our RAM. If you do that in a jupyter notebook, the kernel will crash, saving you from having to reboot. \n",
    "\n",
    "If you fill up your RAM in a script without fail-safes, your computer will freeze and you will most likely have to reboot. \n",
    "\n",
    "So when creating new DataFrames like we just did, it's very important to **kill the previous, uncropped DataFrame to free that memory.**\n",
    "\n",
    "Before we kill it, let's see how much memory the binary models for z020 were taking up:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This one DataFrame is taking up 2.18 GB of RAM'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f\"This one DataFrame is taking up {round(sum(all_models_z020.memory_usage())/1e9, 2)} GB of RAM\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's free that up:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "281"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del all_models_z020\n",
    "gc.collect() \n",
    "# We need this because python loves to hold onto old memories it doesn't need anymore. \n",
    "# gc.collect() forces it to release memory allocations is doesn't need anymore. \n",
    "# not sure it works great in Jupyter notebooks, but if you run this in a script it should help. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select your columns\n",
    "\n",
    "Okay so now that we've selected the types of interest, we can select the information that we actually care about. \n",
    "\n",
    "The available columns are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['index', '?', 'AM_bin', 'B', 'B2', 'C', 'CO_core1', 'DAM', 'DM1A', 'DM1R', 'DM1W', 'DM2A', 'DM2R', 'DM2W', 'FUV', 'H', 'H2', 'Halpha', 'He_core1', 'I', 'I2', 'J', 'J2', 'K', 'K2', 'M1', 'M2', 'MC1', 'MFe1', 'MH1', 'MHe1', 'MMg1', 'MN1', 'MNe1', 'MO1', 'MSi1', 'MTOT', 'Mej_SN', 'Mej_superSN', 'Mej_weakSN', 'Mrem_SN', 'Mrem_superSN', 'Mrem_weakSN', 'N', 'NUV', 'Ne', 'O', 'ONe_core1', 'P_bin', 'R', 'R2', 'U', 'U2', 'V', 'V-I', 'V2', 'X', 'Y', 'age', 'envelope_binding_E', 'f300w', 'f300w2', 'f336w', 'f336w2', 'f435w', 'f435w2', 'f450w', 'f450w2', 'f555w', 'f555w2', 'f606w', 'f606w2', 'f814w', 'f814w2', 'g', 'g2', 'i', 'i2', 'log(L1)', 'log(L2)', 'log(R1)', 'log(R2)', 'log(T1)', 'log(T2)', 'log(a)', 'mixedimf', 'modelimf', 'r', 'r2', 'star_binding_E', 'timestep', 'u', 'u2', 'z', 'z2', 'filenames', 'model_imf', 'types', 'mixed_imf', 'mixed_age', 'initial_BH', 'initial_P', 'z']\n"
     ]
    }
   ],
   "source": [
    "print(list(only_binaries.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this particular case, we're going to select the following columns. Note that `filenames` is essential because it is basically the ID for each model (since there is pretty much 1 text file per modelled system). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols =['age','M1','log(L1)', 'log(T1)', 'log(R1)',\n",
    "       'M2','log(L2)', 'log(T2)', 'log(R2)',\n",
    "       'P_bin','log(a)', 'f435w','f555w', 'f814w', 'filenames']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we replace our DataFrame by one that contains only the columns we care about\n",
    "only_binaries=only_binaries[cols].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>age</th>\n",
       "      <th>M1</th>\n",
       "      <th>log(L1)</th>\n",
       "      <th>log(T1)</th>\n",
       "      <th>log(R1)</th>\n",
       "      <th>M2</th>\n",
       "      <th>log(L2)</th>\n",
       "      <th>log(T2)</th>\n",
       "      <th>log(R2)</th>\n",
       "      <th>P_bin</th>\n",
       "      <th>log(a)</th>\n",
       "      <th>f435w</th>\n",
       "      <th>f555w</th>\n",
       "      <th>f814w</th>\n",
       "      <th>filenames</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>300.0000</td>\n",
       "      <td>6.81875</td>\n",
       "      <td>4.58633</td>\n",
       "      <td>1.76008</td>\n",
       "      <td>119.9997</td>\n",
       "      <td>6.23655</td>\n",
       "      <td>4.67478</td>\n",
       "      <td>1.29114</td>\n",
       "      <td>0.0274287</td>\n",
       "      <td>2.165326</td>\n",
       "      <td>-9.142474</td>\n",
       "      <td>-8.853167</td>\n",
       "      <td>-8.555243</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1239.810</td>\n",
       "      <td>299.9159</td>\n",
       "      <td>6.82043</td>\n",
       "      <td>4.59835</td>\n",
       "      <td>1.73689</td>\n",
       "      <td>119.9926</td>\n",
       "      <td>6.23662</td>\n",
       "      <td>4.67476</td>\n",
       "      <td>1.29121</td>\n",
       "      <td>0.0274428</td>\n",
       "      <td>2.165444</td>\n",
       "      <td>-9.079781</td>\n",
       "      <td>-8.787302</td>\n",
       "      <td>-8.484336</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2014.764</td>\n",
       "      <td>299.8613</td>\n",
       "      <td>6.82159</td>\n",
       "      <td>4.61140</td>\n",
       "      <td>1.71137</td>\n",
       "      <td>119.9850</td>\n",
       "      <td>6.23667</td>\n",
       "      <td>4.67476</td>\n",
       "      <td>1.29125</td>\n",
       "      <td>0.027451</td>\n",
       "      <td>2.165509</td>\n",
       "      <td>-8.991781</td>\n",
       "      <td>-8.697519</td>\n",
       "      <td>-8.393105</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3403.802</td>\n",
       "      <td>299.7607</td>\n",
       "      <td>6.82033</td>\n",
       "      <td>4.62595</td>\n",
       "      <td>1.68164</td>\n",
       "      <td>119.9709</td>\n",
       "      <td>6.23676</td>\n",
       "      <td>4.67475</td>\n",
       "      <td>1.29131</td>\n",
       "      <td>0.0274659</td>\n",
       "      <td>2.165627</td>\n",
       "      <td>-8.888180</td>\n",
       "      <td>-8.592647</td>\n",
       "      <td>-8.288321</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>105333.700</td>\n",
       "      <td>292.4715</td>\n",
       "      <td>6.81136</td>\n",
       "      <td>4.61411</td>\n",
       "      <td>1.70085</td>\n",
       "      <td>118.9247</td>\n",
       "      <td>6.24327</td>\n",
       "      <td>4.67409</td>\n",
       "      <td>1.29588</td>\n",
       "      <td>0.0285882</td>\n",
       "      <td>2.174324</td>\n",
       "      <td>-8.946525</td>\n",
       "      <td>-8.652020</td>\n",
       "      <td>-8.347613</td>\n",
       "      <td>NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index         age        M1  log(L1)  log(T1)  log(R1)        M2  log(L2)  \\\n",
       "0      0       0.000  300.0000  6.81875  4.58633  1.76008  119.9997  6.23655   \n",
       "1      1    1239.810  299.9159  6.82043  4.59835  1.73689  119.9926  6.23662   \n",
       "2      2    2014.764  299.8613  6.82159  4.61140  1.71137  119.9850  6.23667   \n",
       "3      3    3403.802  299.7607  6.82033  4.62595  1.68164  119.9709  6.23676   \n",
       "4      4  105333.700  292.4715  6.81136  4.61411  1.70085  118.9247  6.24327   \n",
       "\n",
       "   log(T2)  log(R2)      P_bin    log(a)     f435w     f555w     f814w  \\\n",
       "0  4.67478  1.29114  0.0274287  2.165326 -9.142474 -8.853167 -8.555243   \n",
       "1  4.67476  1.29121  0.0274428  2.165444 -9.079781 -8.787302 -8.484336   \n",
       "2  4.67476  1.29125   0.027451  2.165509 -8.991781 -8.697519 -8.393105   \n",
       "3  4.67475  1.29131  0.0274659  2.165627 -8.888180 -8.592647 -8.288321   \n",
       "4  4.67409  1.29588  0.0285882  2.174324 -8.946525 -8.652020 -8.347613   \n",
       "\n",
       "                                           filenames  \n",
       "0  NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  \n",
       "1  NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  \n",
       "2  NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  \n",
       "3  NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  \n",
       "4  NEWBINMODS/NEWBINMODS/z020/sneplot-z020-300-0.4-1  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "only_binaries.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay so now we are working with a DataFrame of much more reasonable size 386,150 rows instead of 2.5 million. \n",
    "\n",
    "Now let's match our magnitudes.\n",
    "\n",
    "# Matching Magnitudes and Period\n",
    "\n",
    "Now we want to find which models can reproduce our observed magnitudes and potential period\n",
    "We use a conservative error=0.5, you can use your own."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#targets\n",
    "F435W=-7.33\n",
    "F435W_err=0.5 #arbitrary\n",
    "F814W=-8.46\n",
    "F814W_err=0.5 #arbitrary\n",
    "P=45\n",
    "P_err=15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we apply conditions, we need to be careful, to the types of the columns we're going to rely on for the conditions. I know from trying this that the periods are not all floats - some numbers get messed up (not enough bits because the exponent is too big??) and look like this: -0.8122210+122 - which should be -0.8122210e+122. \n",
    "\n",
    "Anyways, these numbers are going to be plus infinities we don't want anyway. \n",
    "\n",
    "**Thankfully `pandas` has all the resources we need to elegantly take care of that!**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This turns our P_bin column into floats, and if a cell cannot be turned into a float, a NaN is put in its place\n",
    "only_binaries['P_bin']=pd.to_numeric(only_binaries['P_bin'],errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Condition 1: Selects rows where the f435 column is within 0.5 mag or our target\n",
    "condition1 = (only_binaries.f435w<F435W+F435W_err) & (only_binaries.f435w>F435W-F435W_err)\n",
    "\n",
    "# Condition 2: Selects rows where the f814 column is within 0.5 mag or our target\n",
    "condition2 = (only_binaries.f814w<F814W+F814W_err) & (only_binaries.f814w>F814W-F814W_err)\n",
    "\n",
    "# Condition3: Select the period \n",
    "condition3 = (only_binaries.P_bin*365.25<P+P_err) & (only_binaries.P_bin*365.25>P-P_err)\n",
    "\n",
    "# We need ALL conditions to be met for a row to be selected\n",
    "mag_match=only_binaries[condition1 & condition2 & condition3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Something to keep in mind is that **a star can stay within our magnitude targets for a while and so give multiple hits (rows)**. What we want is a list of _**unique**_ models that satisfy our query at some point in their lifetime. \n",
    "\n",
    "Thankfully, it's very easy in `pandas`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "matching_model_list=mag_match.filenames.unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'There are 264 matching models'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f\"There are {len(matching_model_list)} matching models\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have a list of models that match, we need to retrieve their whole stellar evolution journey, not just the one that matches our magnitudes (otherwise our HR Diagram would look kinda weird). \n",
    "\n",
    "Let's make a new DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If this syntax seems odd, you might want to check out the following links:\n",
    "# https://python-3-patterns-idioms-test.readthedocs.io/en/latest/Comprehensions.html\n",
    "# https://chrisalbon.com/python/data_wrangling/pandas_selecting_rows_on_conditions/\n",
    "\n",
    "model_match_df=only_binaries[[True if model in matching_model_list \n",
    "                                 else False \n",
    "                                 for model in only_binaries.filenames]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "769"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# And we get rid of stuff we don't need\n",
    "del only_binaries\n",
    "gc.collect() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting Evolutionary Tracks\n",
    "\n",
    "Now that we have the models we care about, let's have a look at where they lie on an HR Diagram and what kind of lifestyle they have. \n",
    "\n",
    "As any task implemented in python there are many ways you could do this, here is mine:\n",
    "* 1) First we iterate over each model ID (filename) and record the evolution of its Temperature, Luminosity, and Magnitudes in respective lists. \n",
    "* 2) We'll then collate these lists into a list of lists for each property (i.e. one list for temperature evolutions, one list for luminosity evolutions, etc..)\n",
    "* 3) We can then iterate over the length of our Lists of lists and plot them accordingly. \n",
    "\n",
    "Note you could combine step 3 with step 2 but I'd rather have the main lists saved so I can re-use them if I want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initiate Main Lists\n",
    "logT_list=[]\n",
    "logL_list=[]\n",
    "f435w_list=[]\n",
    "f814w_list=[]\n",
    "\n",
    "# Iterate over each model\n",
    "for model in matching_model_list:\n",
    "    \n",
    "    # Data Frame containing solely the evolution of this one model\n",
    "    model_df = model_match_df[model_match_df.filenames==model]\n",
    "    \n",
    "    # Putting the T, L and mag ecolution in temp lists\n",
    "    logT, logL, f435w, f814w = model_df['log(T1)'].values, model_df['log(L1)'].values, model_df.f435w.values, model_df.f814w.values\n",
    "    \n",
    "    # Appending these temp lists to our Master Lists. \n",
    "    logT_list.append(logT)\n",
    "    logL_list.append(logL)\n",
    "    f435w_list.append(f435w)\n",
    "    f814w_list.append(f814w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Evolutionary Tracks\\nz020, M1>6, within 0.5 mag of target\\nwith P between 30 and 60 days')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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75fnnRV2egfJuzHkxWd7FO4RQ7Jo/Pz9fFMb57u95PqampjQ3N6cDBw7o4MGDOnTokA4dOqTDhw9r3759OnjwYPEY549jkiRFQZ+v6u10OsXq3eXl5aKoX1xc1Pz8fHE4gPwYoeXHLi/9yo///Py89u3bp/379+uGG25Qt9stfhbyx6K863/58csPG7DWcUXz0vQjH/mITp06pZtvvlmHDx/W/v37tXfvXgrIxxnvZ9iNKB0BAACAx0FeluQF4oULF/Too4/qkUce0aOPPqpz585pOBzqzJkzRaF49uzZojzMV9/lx/bLT2gyeWy/9UrD9QrDfEXgZFGYl1/dblf79u1bdcmLkX379unAgQPFv71eT71eTwcOHNDc3Fyxy2leLE0e13A7zp49q3e/+91673vfq49+9KM6deqUTp8+XRwLcnFxUcvLy5ULxPLKtJmZmeJEKnnZl5ekhw8fVq/X09zcnCRpeXlZR48e1Wg0Uq/XK7Y3Pz+vEILOnj2rhx56qLi9fJbq/LnIC6T82I1XrlzRuXPndP78+VWr3corP8slZnn328kSNi9q8wJu7969xXOcrw4tl3LlYxTm5WNe4K21qrVcTpaL3Px6flKevAhc60Q8+fX8e19aWlr3uJT597rWiWm63a7m5uZ09erVomzPjwO6uLhYlJ/5c50/r/v379e+ffu0d+9e3XDDDbrhhhs0Nzen/fv3a25uTgcPHtS+ffuKEjJN06K83Ldvn6anp4tVhPnu2BcuXND8/HzxR4C8sLx06VLxveW3hxB0+fLlorjM55XnLC9JDxw4UPzs5c99/phM7padP66nT5/W/fffr/n5eX3gAx/QsWPHdPTo0WLb5d3CASA2dq9umPLu1W9+85uL/8wA2xFC0IMPPqibb76Zv6ihEjIEKzKEGNqSo7yUuXjxoh566CGdPn1ajz76qIbDoR577DENh0Pdf//9+vCHP1wUQpOFTHm33Y3Kw7WOMzi5SiwvmvLSMC9S9u/fr0OHDmn//v1FiZGv9soLjQMHDmj//v3av39/scLq8Tir8EMPPaQ/+ZM/0b333qtTp07p1KlTOnv2bLF6LT9O4lol1HrKhdTc3FxRsuSryY4ePaobb7xRT3nKU3TLLbfotttu0+HDh9c81mK+C++5c+eKXX3n5+f1yCOP6NKlS7p8+bIuXbqkixcvFs9HuUQ7e/ZscRxLSavKufz5z69LuqaQmyyXJ+eW/5vvvlk+fuHkyWryYmqts1jnqwrzFaZ5QVk+w3SesXwlXrmwnJ6elqRVqzzzE+7kcyyvQiwXjvlZxfMTDS0vL+vSpUurjgWaPw/lx6y8i3V5d//yilNJxeNZLkXL5edoNCq+zzwneYE+Go30rGc9S8eOHdPs7KyWlpaK5yuEUBy/cXZ2Vr1eT0ePHtWhQ4eKlYT5isOzZ88Wec6f5zNnzmg4HBblefm4p6PRqHgMZ2ZmVs0pL0Lz40dO/pyWn88rV67owQcfLH6mZmdntX///qJUn5ubW1Wyczbx+NryfobmGr+ute4Hk5WODZbv6gBsV5qmGg6Huummm/irJSohQ7AiQ4ihzhzlJcb58+f18MMP69SpUxoOh3r44Yc1HA716KOP6syZM3rkkUeK1Ul5YZIXIuVVYOuVZeXj7ZVXHZZXqU1PTxcrqg4ePKgbbrihKAqPHDmiAwcO6MiRI8Vthw8f1oEDB4pdj5tQHpw7d05vf/vb9a53vUsPPPCAPv7xjxfHklxeXl618m/S5BmSp6amimKk1+vphhtu0BOf+EQdO3ZMt9xyi57xjGfo+PHjOnTokJaWlnTy5EnddtttxSq09S6XL1/Www8/vOH30el0iizu3btXx44dWzXP8rES17pM7rJcLsnKxWO5lC6vcF3r37ywK5d2+XE4J0/aI60+WU256CwfpzJXLrTzcrG8ijIvHfOyLi+q89yWC8zyMQ337t275hmmJ0/4kpeX+QrQfPVifmKj/OO8nF5cXFy1S/Pk47m0tFQcM1Ja+X0rz1i+y/TZs2eLrO3Zs0eXLl3Shz70IR07dkyHDh3S0aNHtX///uJ7u3TpkjqdjrrdrqampvTP//zPmpqa0r59+3TkyBEdOXJEe/fu1dGjR4v55hk4ePCgbrrpJi0uLurSpUuSVHwPS0tLOn/+vC5evFjM68yZM0qSpCgfDxw4oL179+rgwYPFqtzZ2dminF1cXJQkHTt2rHgu85WfU1NTunz5shYXF1etbE6SpNjFOz/OJGz4fxGs0jRtZXYoHQEAALBr5LsxPvbYY/r4xz+uU6dO6ZFHHtHDDz+s06dPF4VifobmySJxcvXZpPLqqrw8nJqaKo6jVx5366236tZbb9WNN96ogwcP6sYbb9SRI0d0+PDh4jhzBw8eLIqMpsofj3vvvVd//ud/rve+973Fqqp8ZWB5ld968kIv30X2wIEDOnbsmI4dO6anPe1peu5zn6unPe1pOnTo0Jbmle+SnhdJW93Da70zW2901uv1PrfR2ZG3Op/JcZNlZbnAzIumvGDLy8f8ZCh5UZffVr6ef23+fJULzHJ5funSpWvuv3ycxvwszfm/eXGVrwLMy8W80Mt3/87HlFfoTZ7BeWpqatUu7Pl9lldx5t/H8vJysXowP6P6/Px8cQzGfNfr/Oc7f3zylavl2/OVqg899FCxS3Kv1yt2ye71ekVhl/+8ls9wna9SPHbsmA4cOKCZmRktLCwUJ+3JX1/yXcPn5uaKFYpPecr/z96Xxkh2nlWfrq7urn3rWnvv6elZPJ4Zj8eO7Rg7McQOEQ5IiADhTxYhBBJIYRMQdkUCCRCIf/ARIRKJkEUIAQEC2LETL4ntzHiZpaenZ3qvXmrf1+6q74c5zzx1p3o8u7vte6RSdVdXV9373nvf+77nPc854+jp6RHbBe5PuVyWvqu/v188Ibld9G0cGBiQtgkGgxgYGEAikUC1WkU6nRZ1o9VqlRJwu92Ora2tDjKVn2USkCZMmLgR7N7RiwkTJkyYMGHChAkTN4Dt7W1UKhWsra1hdXUV6+vrWF1dxdraGlKplDxIJuoyT+0zZyR5jKEgupyUZYosqQyHwwgGgxgcHEQwGOx4/NiP/RhWV1eFvJmbm8Mv/MIv4OMf/7gEWNxtdFPcXevnlZUVfOtb38Lrr7+Oubk5pFIpUWhdL6lIDz2/3499+/ZhenoaH/zgB3HkyJF3LDvspoTrVkbMx8DAQIcH5bX+X5OEuwXG0JabeWj/T36mMY1bE5Z8v8vlQrPZlBRzBqTwd5J0JHVZuqzLpbe2tlAoFOT7eZx0EBCJOV2uTZJRBwzpv1Mp2dvbK8Qd/RpJeNpsNvh8vo5jS1/LVquFWq0m4UtMdS8UCkLGsgy6VCphdXUV/f39sv/02uzt7e1QFzIAyGazidqY36m3iyplqpFJ0ObzeTQaDfGs9Pl8sNvt6OnpwfDwMEZGRjr8IrmN9IZkeT/Pe5Kj/D6fzye+rFRpNxoN9PX1IZvNCknMdqFvKwOISEDysduuFxMmTOw+mKSjCRMmTJgwYcKEiV0Pqm42NjawvLyMeDyOeDyO1dVVJJNJbG5uIp1Od3iiGcucu5GJOkGYCiumBXs8HgSDQUQiEQlfCIfDCIfDiEQiCIfD4tt2PZPvl19+GY899hiWlpbE4+03f/M3kUgk8KlPfUrICB0Q8U7opnozkoXXeq2bim5rawszMzN44YUXcOrUKcTjcVF+kqTdCSSK6Bc5Pj6OyclJfPjDH8bjjz/ekbh7Iw/+z42iXq93pGTvdrRarQ515o14WF4veM4bodvbarUiEAjINhkDX7a3tzuIe5JzxWJR1IUkJqkyZMiPLnum6pCv6XAYknhGUpIKSF22zffx2Xhda39Skp8kCoPBIPbv3y+KyVqtJmnVTIs/c+YMfD6fpFSz9JkKUh6vXC6HdrstRCn9VO12uxDADPMhMUiSUm8rw5Cy2Sz6+/sxODgoxCRJe4/H07EdmizNZrNSlk1PTrfbLX0YCf9CoYBKpYJcLicJ4c1mU45Do9FAMpkUn0uHwyEJ8CQgGaBjwoQJE91gko67GKbBrImbhZ5EmTBxMzDPIRO3CvMcMnEjINGVzWaxuLiIhYUFrK2tYWlpCefPn0ez2UQ6ne4odzaGSGgiTCsTGZJBQsLhcMDn8yEUCokPYDQaRSQSwfDwsJQ4OxyO217SHAgE8MILL+BDH/oQlpaWhDD4sz/7MySTSXzuc59DoVCQyf07qRCN+329YHtvb29jZmYGL774In7wgx9IeEuxWOxQxhlBPzl6KY6NjeHBBx/EE088gWPHjt1qM91W7IW+iGEijUbjut6vS4mNP9/KYyfolOxr7YMxEIfP2n+SRBhTnY1ejDzvWNZNontra0vIUBKSLGnWJCSJM5Zs62AUlhDzXNAl0FQWtlot9Pf3i1q5Xq+jWCzCZrNhYmJCFJLr6+uoVCpC2lUqFVEp9vT0oFqtikq0Wq2KRyLLk0nyUenocDiuKoUGIKrQ+fl5OJ1ORKNRSYqnb+P29rbsZ61Wg8vlQjAYRKvVEvWjJhcTiQRCoZAoLdvtNnw+n/QpbrdbyEcqVre3t+W4sX/q7e0VArKvr09eN9WP3bEX+iITuxt79dwx06t3GXR69de//nXYbLZ3eYtM7FUwtc+EiZuFeQ6ZuFWY55AJgiEdyWQSi4uLWF5exurqKpaXl7G5uSlKOqoUOcntplDUBAsJCBIKTGKORqMYGhoSMnFsbEzUii6X64aUhLeyz0aFGH+/dOkSfuZnfgabm5tCmgLA+Pg4Pv/5z+Pee++VEIrrHQsaCSjgikKt3W5jfn4e//Zv/4azZ89ieXkZuVxOSNydSAJug9/vx9DQEA4fPoynn34aTz311O1ppLuE3d4XkXzrhm4J1df6m5FA3Mln0liWzr/rn40l6/p7dzpndnpdLxLoBz0nSeZRLUlFYalUEgKPpCTLuKmcbLVaHXYHJPeoHuTf6B9Jz1Amu/M9JPGNadztdhvpdFoS1BuNBqxWq4TS9PX1CeFYKBSwubkp6k0qPtmW/A6qGUlIUt3JhRGSpwwH6unpkYRph8OBYDAoamyv1yvtzuPF7eT3Ub1Jb1mHwyHkpdvtFpK3r68PzWYTPT098Hq9QkCypFv70mqfR338WdK9m31o3y3s9r7IxJ7AnmP1TdJxl8EkHU2YMGHChAkTexHNZhOFQgGLi4u4dOkS4vE4FhcXsb6+viOpeK20XCqSWNZH9U4sFsPQ0BAikQhGRkYwMjKCWCyGUCgEp9N5R1U2mjjciVC8VsiMxuuvv47f/M3fxPr6Our1ury/t7cXLpdLFJj33XcfPvaxj+H48eNCKFBNRHJBq8u+8Y1v4JVXXsHs7CzS6bR4LrJc0wh64DFld2RkBA888ACefPJJPP7447e9DXc7dvJFBNBxbHUSdLfzgKW0xmfj30kO5XI5KWs1pp4bP5++iVrxyrLddyI0NDnd7W/GNHV9PVENqEkyvsbSZf5MdaQOgDESmvrzuymX9X6S9KLXINOcSTxqKwV+DrdN+0dSAUmCkmXWVELr8BUmybNtWq2WkIS8Zkksulyujter1aqQyRaLBaVSCYVCQZSULC3n8a/VatLG/D5+PglIfjbbV5OO4XAYPp+vw5+T+9zf3y+l8FQ8tttt+Qx+DhWaJMao2qQ/rcfjQaPRQCaTQbFY7DhvGKLT19cnr1ONaobPmDBxW7HnLiaTdNxlMElHEyZMmDBhwsRuBCf+a2trmJ+fx/z8PJaWlrCysiK+igwl4GSaJADHmyQZNGFB/0Sv14toNIrh4WEp2R0dHcXQ0BBGRkZkUn8n9qsbkWj0sLseItEIHT6jS+v0a88++yz+9m//Fs8884xsTzeQfPX5fBgcHESr1epIstUqsG7bAQB9fX1wu90YHBzE0NAQ7r//fjz11FN7hlzUJKAxtZkPXdarU4zpecefWdKrw1BYuk9SnOov/Vn6u1imrrdFB7Pwd6BTdaqPEf++U6m8VjFqlRSP6U4qR60I1u83lmIbrQhIFOrrlGpihrjwNX0dk3Aynuf8fPoR0uqA30eyUu8P94UEnLFt+DPtCTQRWSqVpA/i/+nrgmQeyThui81mk0AXY7m2x+MR1TEJRH0uOBwOIYztdnsHUcpzjQQqz0duQ29vr2wjVZFUE9IzkZ/D87NcLkvfSbUmFZeBQADhcBhOpxMWi6XDK5MELANrWD6ty9A9Hg96e3vFo5PnLT87Go0iGAyK+jOTyaDZbHZsL0N+qHTU5ObdUJmbMPEeh0k6mrg1aNLxq1/9KhwOx7u8RSb2IlqtFhYWFjA5OWlK+E3cFMxzyMStwjyH9iba7TbK5TKWl5dx+fJlLC4uYn5+Hqurq1hdXUUqlZIJtA5qMZY/a4VTf3+/pKcODw9jeHgYsVgM4+PjmJiYkDJoTpw1buU82kmV2I1UvBEYScNupCJ/vxF1z+LiIj784Q8jlUrJNjkcDvHCeydoUompvcFgEPv27cODDz6Ij3zkI7j33ntvaF9vBTsRg1rRRtVro9GQwBFdXlssFoUU1M8kYRhiQqKQJIpOJKc6ra+vr4M41kSWUQVqDNnpRggaS5iNPxvJQX4OXyP5RYJP41qE4bX8GHVIDwBRnTE8pdu8z1g+rUkhTQyShGP5L1WA+ruMykBNHJJwslgsXS0OfD5fh8pve3sbpVKpgxDU7ajVjSQ9gSvekiwnLhQKHb6RPPdYRqzJSL0PJOf4XCqVEAwGO7whqZLc2toS8rBer4takqRbuVwW0lufr1QSMhDHarWKFQU9LKmwrNfrqFar8lnlcllISJaEs2zc6XReFTzD/WPgi9Vq7dj/np4eCYRhGzAZXH8PSdjR0VHEYjFYLBbk83nx3G21WrBarXK8W62W+FQC2FOhTrcb5rjIxK3i/xae9hzpaBot7GJw1ciEiRtFs9lEMpnEyMjI+/KmbuLWYZ5DJm4V5jm0e8GyxbW1NczOzmJubg4LCwvis0hikRNfXfIIdKr3qAqiQiYSiWBiYgKxWAwTExMYHx+X8men03nD27rTeUTSwZiES8LhRlWJRkViN0LxZojEG8HExAQWFxfxqU99Cv/6r/+KZrOJWq2G4eFh/MIv/AJyuRzeeustxONxbG5uoq+vD36/X9K0x8bGcP/99+NjH/vYLVXKGINrSM5q1WCz2USlUkG5XBaFmU4tLhQK4s+nyUIq0LSqUPvyMUREKwl3KnPW26ufu73ebDY7yn+1J6GRdNNEniYEje/nZ2hyUZNm9BzVZcpGNSEJNaOHIMknrQhkWbVWErMsl56IJJH4TAKW7aXbltus27xbuxnbRLcziTYN3V7djpOxrdhe/J3twtepztMqSgBCjOnXqDIkkcdjQBKR/RhLiNk2+piSWKM6j8ckk8lg3759cLvd4gcJALVaTYJo3G43AoGAJEg7nU709vZicHBQvpfXA0n3YrEo/Rdhs9nQ09Mj73O73RgeHpYE7EqlgvX1dayvryOXy3UoczOZDNLpNJaXl+FyuSQYy+12i+qS5xS9I1nyTfsLEpUul0uOG8u7i8UistmshH6NjY1hZGQEPp8PlUoFyWRSFg6orOY1zvOlWq3CarXC6XS+r4JnzHGRiVtFs9nck+eOSTqaMGHChAkTJky8B7G9vY1sNouLFy/i0qVLolxcXFyUiWGtVsPW1laHdxpwhRTghJ8KmkAggJGREUxMTGBsbAz79u3DyMgIxsbG4PV6b0vpnCa7qH7L5/MSvNDNB3In7EQcdiMXdwu+9KUv4R/+4R/whS98AYlEAqurq/jjP/5jHDt2DH/3d3+HsbGxaxK42itQlxxTMdloNFAul1EqlYQ8IHGYz+eFTGTqLo8ByRKSXpqQ5vECcFWauCYMjaRVN2jCj7+TuOtWos7XqeCi/x3/jyo1v9+P/v5+eb9RqadJtWupCY2/aw89th2VafTRIyGk24ttxu/cSXm7k0KxW7u9l9Btn7sRn3ydz9qTUhOYRvLYePx0abyR3NYlxrqsXJOhmkzWar5gMCil2S6XC0BnST2fa7Ua2u02PB6PkKckTOv1OrLZLHw+nywwTE1NAQAqlQpWV1fFN7dUKgnJZ7FYsLa2hs3NTbhcLjidTrhcLvlc2mHw2mFADUu2S6WSqCNJGtrtdpTLZVn82NjYwNzcHPbv34/h4WGMjY3JIkS1WhXy0eVyyTXS09MDu90u/Q637b12DpswYeJtmKSjCRMmTJgwYcLEHgVLSDc2NnD+/HnMzs7i8uXLWFhYwOrqqiSudgtu0eo+Jro6nU4Eg0GMjo4KsTg1NYWJiQkMDw/LpPlWYCyx7fYg6vW6EGDG1X1dxt3tcSdVibcDVDLSe03j05/+ND71qU/ht37rt/ClL30JpVIJp0+fxgc/+EE88sgj+NVf/VXEYjFUq1Wk02mk02nk8/kO8rBUKgmxTMUhS5ONBJgxAMeoLASuVqrpn43EoJEkJDGjn1lSSlJbpw2zNFP7CJL80H57+lmXhWoSaHt7GxcvXsQ999wjZZ7dSuGr1SqSyaSEICUSCeRyOQkvYYIyCR2trt0ppGcn3Oh5aTw/jKXLRqWgkRTVSj5Cv9+4XVQpahXgO207FYb8zmvtg1ZI6v/p6enpUFWTCOT28D3cNr0tO6kquf/G/aXi1UiIa+JR+zbyM7lI09PzdugKj4P+LO2Tyb/zfCcBSTWmJkmpUKbakgstRjWmzWZDIBDoIOqogGQZdLvdRjablbRq/l84HIbX65XybZfLhWazCbvdjkajgZWVFSEd/X6/qB21cra/vx+xWAy1Wg2ZTAbZbBbr6+vwer3Yt28f9u3bh0gkIornra0tVKtV9Pb2wul0CilPX0umlDudzq79oQkTJvY2TNLRhAkTJkzcNtA7i75cmUwGqVQKyWQS6XQa2WwWxWJRSsP05JCpkX6/X5IS/X4/AoEAvF6vlCntZhLBhIk7CZZEnzlzBnNzc7h48SIWFhYQj8eRz+c7VIuaBOGEW5ez+Xw+jI+Pi6/i1NQUpqamMDY2dst+0rr0WYd68Pl6VVskB2w2m5Q0alJxr/UFWt22tbWFZDKJfD6Per0Oq9WKXC6HZDKJTCYjZFe5XMaHP/xhPP/880gkEqhWq/iv//ov/Nd//Rf6+vrg9XrR19d3VUqy0ZMQ6E4aau9ATQrqwA9NmDDR1+VywW63i1cnQyKcTqeQ11RVUSVrs9kkZILpwDqQpJuq0IhuZfVGEpvk08bGBl5//XVcvnwZb7zxBp599lkUi0XkcrkOX0gjAftO51W3vxtf61aer4lZ7ZlH30USrlopFwwGhZgFgEAg0HG8SNiS6GKb6vfwYVTtsZyXBJqxlJ5/0+E8RrJV2xkY1YL6WtfErC7x1kSh3tZuqlbdJ3AfjQExBD1CqfDV6lV9TtNvlu2tz0ddzt1oNHDp0iU4HA4Z09AnkiQ028t4XrLt6fdYq9WEUNeLPr29vajVarDb7ZJu3Wq1hIyktQEA8VkcGBiA2+2Gy+USf0kSeltbW3LNcsGhWCwimUzCZrMhFArB5XIhl8vJfvOarlQqGBgYQLFYxNLSkrxus9kk0IrHLxqNincmx30zMzMYGRnB+Pg4HA6H9HE8L7hPWuHJ7yP5eKeCw0yYMHH3YZKOuxhmR2viZqEHaSZM3AyudQ5Vq1UkEglJrF1dXcXKygo2NjaQzWZl4EnTdKNKwFg2p72utLeWHvhzYuVyueByuRAKhXDgwAGcPHkS09PTMjhlkmWj0ZCV9/n5eWxsbKDVauEDH/gADh8+jJGREZnombgzMPuhm8fW1hYSiQTeeustnD9/XkqjV1dXRXGlS6IJknFMNGUa9L59+zqIxf3798Pr9d4SaaeJjl0usQAAIABJREFUCOPz9ai+rqVQ1CWRzWYTXq9XyLXdBCOJyLLjWq0mBGIymUQqlepQIubzefFCpBKo0Wh0qIm6kYd2ux3ValW+v9lsIpVKAYAQfbpsnP0nlYBUErKU0e12w+v1CmnB8Auv1wuPxwOPxwOn0wmPxwOHwwGXyyWEzZ0gfHWZ8k4KWBIn3/3ud7GysoKFhQVsbm6KGpGedFT2AhD13E6l/3pfNKnFtiNZqtvA6XRKqIr28yMh22q15P4HQLaH162+ZohulgEsaef9M5FIXNX2vF9y+7mQx/3Q5CbJLu6fkVwmccngFhJvJDM14a+vc10ers9bTUTywSAVnRJOkky3jSZB+RlU8dHr0EhOAlfuPbR74OfyOtPtabVakc1mO441y6Lpd8nPrNVqiEQiGBkZQavVEoKMxCPJW3ox1ut1WRBgibQOieG+6uOo+3Cqcu12u7zOxRcSd9p7MhaLSagNvSK5cEHilWnTLP3f2tqCw+EQIpT2AB6PR/oN9julUknOK33OcCHB6XSiWq2K8jGdTmNlZQXRaBSRSAQOh6Pj3OT+0huzWq2KwpPesLzmbodtx26AOS4ycavYq+eOmV69y6DTq7/+9a/fkhG4ifc3WIphwsTNoNVqIZ1OIx6Py8Tu0qVLWFhYwMbGBgqFgoQC6JV9XaYEXG3IrycsxpItXc6kB+KarNQEJSdNnBByUGpMRdVlg7FYDL/7u7+Le+65B4cPH76LLfr+hNkPXRutVgulUglnz57FuXPncOHCBVy6dAmLi4vIZrOiwuIkHOicmJLgcLvdGBkZwfT0NCYnJ3Ho0CFMT09jZGREFFI3Ck7yNQF0I2pFvXBgfL5R0upunkdG4o8kYrlcRjabxerqKhKJhIQ1ZDIZIbxIQlBFx77MWL5s/C6gs0SZKi6tUCVpyATm+fl5VCoV+SySLI899hg++clPwuv1wuVywePxSIkkQyPezWtSn1fGR6vVwtLSEl566SXMzMwgHo8jmUwKmaiVa8RO55FWcpI8IaFEYtXv9yMYDMLn8wk5f8899+DAgQPXtQ+NRgOFQuEqBSDvi7x+dTm7MeBF3z+17yZJKSMRqwN+2A5Gwo/3YmOpPN/L9tH3U2NpvCYp9bMmMHlOatUeX9OKQX5mu93u+J3HR18fADr6GqM3ZrPZlOvLSGJqIo99lG4Xfra+vtnWvDbZDtwnl8sl5B+vRa3Y7e3tFY/Ura2tDj9FJmjzu202G7xeLwYGBkT5W61Wkc/npVSb6smtra0Ov8h2u92RDM70cJJ0vLYjkQgmJyfh8/nEMoBkJwMoisUiZmZmsLm5KcpJt9stpCPHTiQS2ZdzzEainf6o/Ay2EUvHWdXS39+PUCiEkZERhMPhq0jEgYEBIWMBCKGsv4OhNiQs9zLMcZGJ24C9VeYBk3TcdTBJRxMmTNxNbG9vI5fLIR6PY35+HktLSzh//rwETRSLRRmEcrJk9IPjpI5qRA4OXS4XfD4fPB6P+HAZy644AdATBv0zlUMcBFM90I2I4bNRtcKyQIvFgrGxMfzar/0aHn30Ufh8vrvf4Cbet9ja2kI8Hsdbb72Fs2fPYnZ2FhcvXkQikUC5XO4gqYCrE6KdTif8fj/Gx8dFrXjPPfdgamoKkUjkpidjOxFAN6JW7EYu7rZJlVZbsW+hai6RSAjBlUgkOsJV6JGoE2c1qdGNSNSElyYxqMQGIL5qnMCTGPR6vQiFQgiHwwgEAmIvwYfb7RbyMZPJ4HOf+xz+53/+B6VSSbZhdHQUf/3Xf42nnnrq7jaywk7nVS6Xw+nTp/Hyyy9jcXERq6uryOVyKJfLYg9A7EQo8txiOzgcDmmbWCyGsbExTE9P4+GHH8bRo0fvyv5eL7qF6xh/NyoFNUnJdtT3Sir4eL/kvVqTdfqhP8eouNTqRP392t+RhKLRU5XjAN0P6BJl/bv28tSKPV3xoPs0Em/AFfWm3n49XqDFC4nqbuciyWAuKvDaJlEMoKMUWy92Ui1MNaDNZuvwXuQzxyxUG5L8I5HmcDgQiUQk3ZnHhgsL9LNlGT0VlCTf6cdI1SlLn202G4LBIIaGhhAMBtHX1yfKQZ4bdrsdW1tbWFtbE3LQarUiFAphe3tbFk8KhULHAgjJYy54cTFje3tbyFKez7x+eYwsFgv8fj+GhoYQjUYRDoc7jjHPDZKYvCeSyAYgNjzvBfLRhIlbgEk6mrg1mKSjCRMm7hQqlQo2NzextLSES5cu4dy5c7h06RI2NjaQy+VQqVRk4K1N2vWEgZ5doVAIoVAIkUhE0gpjsRgGBwfh8/ngdrtlIM4VbT2RYbABE1H1gJvKD60Y4XuoAqA6oVgsilE6t1cPhgOBAMLhsKz8Dw4OYmxsTMp5TJi4E6jVapidncWbb74p4S4LCwvIZDJCEBi9yDhpt9ls8Pv9GB0dxf79+3Ho0CEcPHgQBw8eRDQavanJFlVR3YjFa40Db6da8U5Cq+fYX5RKJSSTSbF+2NjYQCaTQSaTQbFYRCaTkYm4Ln3tphIDdlZtk0ghiULlqc/nQygUQiAQgM/ng9frxe///u8jn88DeHuC/Ud/9Ef45V/+ZbGD0KDv5jshmUyi2Wziy1/+Mv7u7/4Om5ubAIChoSFcvHjxNrd0J/R5pYmdy5cv47nnnsOFCxewsLCAZDKJXC4nhI5euDKC5xxLfD0eDwKBAAYHBzE+Po577rkH9957Lx555JE7um97FcbyZiN5yGPEe64mLBuNhowD9CKf7rOM1Q1GwpL9mlG5awz+sdvtHX6XHGPsFBxkvOa0B6i2ZdH+mfSp1OOKWq0m4w56T1OVyv3l37nY0Gg0rvK75DlKawIuuPb393cE0BAkBrWnNfurnp4e8fPkuEn3vSTiGo2G7L9Ood/e3obH45GQGaoN+/v7EQgEEIvF4HQ6YbVaO7w6+b/5fB65XE6ITLfbjaGhISE56dNYLBaFFCV4nQaDQYTDYSk7p8JTV52wL3U4HAgEAvB4PLLIQgUo24rt1dPTI+cezw9+BtWZJky8D7E7Bl83AJN03GXQpONXv/rVWzZzN/H+RKvVwsLCAiYnJ3ed2sTEnUe73UaxWMTq6iouXbqEmZkZnD17FktLS0in0zIgNCoXtWqRpupDQ0OIxWKYmJjA5OQk9u3bh2AwKKmJHGTfTfLBWIbdarVksMqVcT3R0f5wJu4e3g/9ENNCz549izfffBPnzp3D7OwslpeXkc/nRZFCIkuXJlK9ODQ0hH379mF6ehpHjx7F4cOHMTY2dlVS8/VsSzdi8Z1KoY3EgH7shuO2tbWFS5cuYWxsTFRd5XIZm5ubWF5exsbGBjY3NyWAJZPJSHKzDtbRykStLjOSFewzSHwMDAzI5DgQCCAUCsHv98Pv9wupGAwGZcGFk/tu+LEf+zF85zvfkd+tVis+97nP4Y/+6I+EkDbC5/NJCWs3bG5uYnt7G8FgEP39/Xj00Ufx5ptvwufz4c/+7M/wcz/3c7fU/tcqh/7+97+P559/HmfOnMH6+jqy2ayk52oY7w9UutEvkotXDz74ID70oQ/ddnXi+6EvuhV0UzXqxUcSZJVKRUhJ44MLgyTpdHm4Hmvo6gagU01oJBs1+cbXqYajoo9ElNG7Ui+OECTl9DOvVe5HpVJBoVBALpeTfoQhLOvr60IA1ut1lEolCfDhPuggJaoCNQnLkmgu8Bq9LfV+cKzDAC2t+AMg7UjiULclAClzdzqdiEajiMVicDgcaLfb0m7ct3w+L8FWzWYTFosFbrcbbrcbTqezY/GXQUz8nv7+ftlHVrdQgUmClfupCWyHw4GRkREhTKkepbcsSeNWqyXBOiQfWWpO8nGvXNdmX2TiVvF/ivM9Rzqa2uRdDOOgzYSJ60Wz2UQymcTIyMgNT1xN7C20Wi1kMhnE43HMzc3h3LlzOHfuHFZXV5FOpztK1jjZpjKA5CIVOUNDQ5iYmMCBAwcQDoeRTCbx6KOPIhgMdqy+v9vg4J0KCI3dFjTxfsZ7rR9qt9uoVquYmZnB6dOn8eabb2J2dhYrKyuSQKzLo3VpNNWL4+PjOHDgAA4fPoxjx47h4MGDN1zmz0m8JtOMgTLdsBOx+G4rRXQQC1U1DCBYWVlBPB7H2bNnYbVaRZHD8BUjsarTcY0lziQitA2E0+kUIpHE4eDgIMLhsKi5BwcHr0kk3gj+4z/+Aw888AAuXLgA4G1C9S//8i9RKBTwF3/xF6KC0iXGuVwOAORcoqKS22NM7vX5fLJ/L774IhqNBj796U9f13HoRiyWy2XMzMzgm9/8Jubm5rCysiKkgx6n6nsDSROGQITDYQwPD+PgwYN44IEH8Nhjj2FwcPDWGvMG8F7ri243tHr3etDN71VbF2gVJUuc6VfIagXtV6nLoyuVSod6Unty8tplyIuRlNTXh1ZM8trQfR4XVXj98H+9Xi9isZgQeLSgSaVSeOONNxAMBpHP52WRoFgsConGB8lKpmEzZZvtrMcvTG1ut9sol8soFAqo1+sdCyD5fB4Wi0V8G3VZusfjQaVSQSAQkDanNyUtF8rlMtLpNBYWFhAIBBCNRkVdODw8DKvVKqTr/Pw8FhYWkMvlROnJYB0mYzOZvtlsore3V8rGLRYL8vm8JF9z++jFyONBBWOlUsHly5dht9sxNDQEq9Uq20rVJ+0kKpWKKEJbrRaq1Sr6+vrkfNoraddmX2TiVkFv1r0Gk3Q0YcKEiT2CdruNfD6PtbU1zM3NiTfcysoKkslkR3k0B/NUL3LwNjg4iFgsJuTH+Pg4otEoAoEA/H6/KBcbjQZef/11DA0N3ZGbWzf/KuAKQWDCxLuNer2OS5cu4bXXXsNbb72Fc+fOYXl5GblcriMYAugkGKl827dvHw4cOIDjx4/j2LFjmJycvKFQF53WqsnFa3ktar81I7H4bi0YkFSg31q5XEYqlcLCwgJWV1exvr6OjY0NCWXhhF2rpRqNRtfJpC7J1CW5NpsNgUAAkUgEwWBQSMVYLCaEYjAYfFdSUV966SV87GMfw2uvvSb99Be/+EWUSiX8v//3/6TNGJ5CMLmZ6dVUe5XL5Q5iZWVlBa1WS8jsV199tYN03MnfrtVqYW5uDv/5n/+J06dPY21tDalUStS6wNWKRZIALpcLoVAI+/btw3333YePf/zju85L0cTtA4m+nYh4Y1p1N4KSCwwsY9aWK3ocYwzoyWaz2NraukqVTNKQpdU6uZ1EJZXLLD3mNdNqta4qAbdarUJIUsFcLBYxNTUl5dYM1CNBx0R6Kj9ZisxqEN0XlkolaUfuGwB4PB6xoKG6kAsCmUxGyFCn04lgMIhmsym+2fxcEnFGr0mSiOl0Gk6nEz6fD0NDQ4hEItJXRiIRfOADH8DCwgIuX74sSdckTa1WK3w+n2x/tVqF0+kUJaL2EmWQTTKZxODgoCxCaNKQRObq6iqSySSGh4fFv7PZbKJYLErfzhAci8UCl8slifQ67ZrWOrthgdyECRNXYJKOJkyYMLFLUavVsL6+joWFBZw5cwZvvvkm5ufnkUgkZGCrCUYSCw6HAx6PR9ICx8fHcfjwYYyOjiIcDmNwcBAej6cj8fl2QPt6ccBYKpWQy+WQzWaRTCaRSqVEqUR1GJMetRcR1ZexWAyjo6OIRCLw+/0yuCaZasLE7UCr1cLa2hpee+01nDp1CmfPnsX8/DzS6fRVibkkGFl2GwgEcPDgQRw6dEgIxpGRkRtSxumQCO0/tlNZNNU/eoL8bpVDa3K00WigWCwilUpJSMj6+jrW1taQTqeRTqeFVNRkqrZ50Gpsqq9IbDkcDjgcDvj9foTDYQkjCAaDGB4eRjgclsnzblUCDAwM4Nvf/jZ+/ud/Ht/4xjeEEPjKV76C9fV1/Pu//7skUdvtdqTT6Q4vNE0SshQUAJaXl/H3f//3WFhYQKvVgt/vh9PpxJNPPilEDfvmer2Of/7nf8ZLL72ExcVFJBIJOSbA1eQiz3eXy4VoNIqJiQkcP34cn/rUpzA0NHR3G9DEroHun4zep+9ESupEbk1+k2QkwV4qlSTQjqQk+wqtkq5UKsjlclcRjiT9jGnwrPTg3+12u/gq8vxnGTKDXVgCDADZbBZut1tsMphi3dfXJ8RerVYTSxsAQj6yvJuLMM1mU0g7Bt+wvJpqSBKYxWJR2mNjYwNOpxNut1sCp2h702g0xKub7cFwG5J5hUIBxWIRGxsb8Pl8YhvhdrsRDofh8/lk8aFYLGJra0v8NT0ej6jNqWIlyclyZ5ZTb29vI5FIyAIRVdB+v1/IVdqDLC8vw2azYXh4WI4PAFHJkmgulUqwWCxy3JgITvLX5XJJ8rYJEybefZikowkTJkzsArTbbaRSKSwvL0v55oULF7C2tiZBKZxocnDPgRuNuMfGxjA1NYXp6ekOgpHlKbeDkDCqZOjvs76+jtXVVSEZEokE0um0KAHo48PBJfeZ29TN80tPEqhWsNvt8Hg8GBwcRDQaxYkTJ/ChD31ox4lvt4kNjfGpdDLx/gLL2M6cOYMf/OAHEvYSj8fFs4rkDM/B/v5+Ibqmp6dx+PBhnDx5EkePHhVlxvXAmNSufc+6gaoWYwjD3SYXtUKnVquJ4vry5ctYXl6Waz6ZTCKbzaJUKnWkzO9EKmqVot1ux8DAAHw+H4LBIKLRKKLRqExMH330UenXbDbbnp9MfvGLX8S+ffvw13/916JofO655/Dwww/j3//93xEKhdDf349gMIh0Oi3qIAZkkWj5p3/6J3zpS1/C2tqaeEJarVZ89rOfxeOPP47//d//xW/8xm/g/Pnz2NzclNJ0kigaJLO5aDU5OYlHHnkETz/9NA4cOHDX22i3o1tgC1/TC4LGRGiqlbVymfcp/mz8DAZx8HM0UcNtAdCxWKG3D+gMcwOueBzyZ+2DyEVMEof6fTr8RSc781l/nn6P9k8Frlg+8H/Y1wIQz0+/3y/EPD+nVquJupDJ0DyndRtQPckAFqN3pJGIZFWIw+EQNeHAwADsdrssoqbTaXlPrVaTa4hlyI1GA/39/Thw4ADK5TKGh4exvb2NcrmMXC6H7e1t2Ued0lypVOTYk2wtl8uiMGSo0uDgIMrlMpLJpITplUolJBIJOJ1O8Zbt6+uTVGz627K/5XEoFAooFApwu91yzafTafh8PrhcLvT398Ptdsu5yIUJJlE7nU5sb29LWTqTti0WCxqNRsf2UgHJ85UL0SR/qSylJ/nly5cltNDlcsl7OJajX2S5XJb2IeEZCATkvOBi1V6/X5gwsddhko67GKaKx8TNQhM2JnYn6vU61tbWcOnSJZw9exanTp3C/Pw8ksmkDKA50OYgnQNAmu5PT0/j0KFDGBsbk+RAEoy3MsDiREaX6jQaDSQSCcTjcayurmJpaQkrKyvY3NyUlXyu0HNQqhOwCU5WjCqEnp4e2W5NxtCY3khY8DO/8Y1vwOVy4fDhw/ipn/opHDlyRLyESC7R85KT8kgkIhOQJ598EpFIxByQ3gHsln6o1WohkUjge9/7Hk6dOoUzZ85gbm5O0nRZKgdASD1OXPbv348jR47g/vvvx4kTJ25IwahLo7V6sRu0MkiTi3ez9JcEPX3V8vk8lpeXhVhkYAvVykyR1+okoDupyOtcqxRjsRiGhoZkwYRBB4FAoGO/m80mXn/9dZw4ceI959n6+c9/Hna7HX/+538uisWzZ89icnISgUAA4XAYgUAADodDrC9cLhe2trbwyiuvYGFhAYVCoSOV1mq1wuVy4Vd+5VdERa7Bvo7vGxwcxMTEBI4ePYpPfvKT74myaONiU6VSQTabxdraWofaiwtiTC3ultisvVr1zyTTjWXDOrmYBGNPT09HkBFwhRgzEoRGItO4IKGDUDSudQ/T90yd7Kxf5zXLv+vSZV3eqq9n3stJFnYjGY02D/phsVjEM7obAa4/z2KxdJzLXq8XHo9HvADpEcgxC4k2BpnwuHBcQaKf6kZ+D8cMuj+mOi+ZTCIWi0k7ORwOKa9mSXRfXx8cDgdKpZIskjYaDbjdbvj9flSrVRQKBTQaDQSDQdjtdvGzpTcit5GekZVKRa5lLjaHw2Hk83mkUilUKhXxXy0Wi7JIRmW42+2WtGr2F+xjrVYrstmsVJ8MDg6iVquJmpFKwmg0ilQqhWQyKUQmyUa73Y56vY5gMCg+nvRh3Nragt/vl0oWALIgRb/PYrHYcV4zRCadTiObzSIUCsnY1uPxCIlIdSi9fi0WC4rFItbX1+F0OhGJRKRdGE7zbmO3jItM7F3s1XPHTK/eZdDp1V//+tdhs9ne5S0ysVdBPz8TuwP1eh3Ly8u4cOGChFAsLS2JKkgHQZBk5CpvLBbD9PQ0jhw5IpPzcDgsJdK3cpx1qiDLIzOZDNbW1rCysoLFxUUsLS2J4pKlK8ZEWOBK2alWLTkcDin/4Wo6Jy16YqXLKTlZIQFChUCpVJIJBZUBJGf5vS6XC263G729vR2TQe3BNzg4iMceewyTk5MYHR3Fj/zIjyAYDN6W42yiE+9GP9RsNjE7O4vvf//7OH36tHgx8rxhCSnPN/qdjo6OSnn0iRMncOjQoeuepOiyaD52CnbZiVy8G8S3LoXmZJneXcvLy4jH46JYJLGo1YqaWNSeavTmstvtorweGhoSYpH91tDQEHw+3w2HsrzX72df+9rX8Ad/8AdIJBJXhQjS3wxAR2lpN+xkmWG324XEPHbsGH78x38cH/3oR2/vTtwgdICI9vxkgjDLa0kkUbVGooK+eSQNWcrJZx2Mo20/NBnIdu2mVARwFSGo277b/Emfo/rvmtjTMCoD+RmaGNTv06/r37VS0Pgwko1GGLdBv0cHMgEQ70RdwqxJRBLj+vu0h6LT6ez47na7DY/HA6vVina7Da/Xe1U76GTobtBELftrrR5nqTb9B1mizeuMCjyOf3QCNEutjYu/Ok2b/R7bsdVqoVwuS4kzrRJIoJLwpBVFvV6H1WqFw+G4yutQl5kzvKlWq8lxIaHGtO1CodAR0MMKEY7BGGijx00AZJGWidL0/w4GgxIiw/Cara0tpFKpju8iCaoXPhiAxWPjdruFhPb7/XJO1Ot1pFKpjvElr11uM5Oyg8GglI9zrOd0OuFwOAAAyWRSFKC01xgYGEAwGITX6+2w6Hk38V6/n5m4K9hzSgmTdNxlMElHEybeG2g2m4jH4zh37hxOnz6NU6dOYXl5Gel0Wga8HMhaLBYMDAzA7/cjEolIAMX+/fsxOjqKWCwmIS+3kqBqJEYqlQoSiYQoFy9fvoylpSVsbGzI6nqj0RAlGEtqdGgGB7NMfo1GoxgcHEQoFILf75dSH5brDAwMiJ9QpVJBsVhEPp+XiSQH/lQnGCfYJBBplJ5KpTAzM4O1tTVUq9WuyhBdJmaxWBAIBHDffffhqaeeQm9vL0ZHR/HAAw/IwNXE3kK1WsUbb7zRQTImEglRWeiJEEu5BgcHcfjwYRw/fhwnT57EyZMnrytNlyoUo/9it7GUTlXVj7tBLnLSRkXK+vo65ubmcPnyZVH9JpNJpNPpDn9FXQaq94H7MTAwIIqdWCyGkZEReeYjHA7vWj/F3Y7vfe97+JVf+RVJtwbePm9Jxu0ELrTYbDZ4vV6Ew2GMjY3h4Ycfxk/+5E/eNt9FTeTRioB+bprQIXlQKBRQqVTk71TxU7lFdSFDg3iv0WRhN0LwncjAnRSCGtpbr9vrJGQ0yaffw78byUCt8OP7dPmu9hfU5CF9M5mUTsW+DoLq6emB2+3uKA3WoBqRx4r7x/9n2a0mILn/Vqu1g7Cl8o6LeyTISNaRFNMELrePn82QEKY4OxwOWaygQq5UKsk20COxGwYHB9+RqLFYLAiHwwBwVR/N7ySoaCwUCrKgqck87j8XWki89fb2dihYeZxIoLHcuK+vTwJoqtWqHHuSswyi4fdwzGOz2TpK63m+9Pf3izdisViU5OiBgQFUq1Uh7lgyratlCJaF2+12bG9vyz1Sn5uNRgPb29vwer1C1HExaWBgQBZ3t7a2kEwmxetxa2tLlKdUIVKpyHEflZf1eh0ulwt+vx+BQEDUoJlMRjzASaLqoJpmsym+miQtOb7kZ1ksFmQyGayvr0vqN8vmXS4XfD4fYrEYgsGgGVpoYi/DJB1N3BpM0tGEib2JdruNRCKBmZkZvPbaa3j11VexsLCAVColRuF6tXxgYACDg4Piw3jvvfdibGxMJu0c4N0sQUHyjgPvUqmEjY0NLC0tYXFxEfPz81heXpYVaw4+6RsFXCEcWBbp8/kQCAQkoGZkZARjY2MYHh5GMBiUspebKYHkdlK1QsUKFVZ6m4Ar6a56YDo7O4vZ2VkUCoWOVEMG6wQCATFTD4VCeOihh9BoNLC6uoqjR4/igQceuKm2NnF3USqV8MYbb+CVV17Bq6++ipmZGaRSqY5SaX3uer1ejIyM4Pjx4zhx4gQeeOABHDx48B3P03a7LdeQJhq7geoY/SDpcCdBhRhL9hYWFjA3N4fl5WWsrKxgfX1dyqF1aJMuU9TEIgMVWHY7PDyM0dFRDA0NYXR0FKOjoxgZGYHf7zeVGncQX/ziF/Grv/qrKJVKHa+TyPjwhz+Mv/qrv4LT6cSZM2ewtLSEif8Ld3E6nV2PjVYWUunKckyGdeTzeQn6IRmjAzyoPOTCEM8nXhu6v9ZkVDeykM9GNR1hVN0ZVX5GtR9LcI0lvLpUmM9GLz+ttNffw791+07+btx+Tejp+1W37dKkIBcfScZR4cr2ZZty/NBqtaS8lIQVPzubzcq4g23NY6xBBSkrDzhO4WfqKgZjaTi/Tx8v7YHL93Ff9Ht5HHQ/xEVVkuc6RIolxUwltlgsoi4EIHMlj8cjVQtUZOrFkv7+/g4Sbnt7u+M+UCwWpfqEwSV8n1bikjilj6DVapUxCwAhBLl/HM8xcZok38DAAOr1OvL5fEc4VLPZ7GjEbzFTAAAgAElEQVRHqhZJWDabTWQyGfGUZHI3g2tI9uk0cN7L2P5UQVIBqtuF5xfPtVAoBK/XK+3OahVNPvKcaTabiEajMibs7+/H8vIySqWSkMBUtFL1GAgEEAgEYLfb5fzl2K5QKCCZTCKfzwsZz/OVBDsJba/XKwv1wNvK8M3NTenT+D4Sp8PDwzcc+mbCxC6BSTqauDVo0vGrX/2qqbwxcVNotVpYWFjA5OSkOTG8gygUCpibm8Mbb7yBl19+GTMzM9jc3JRVaA7i9MBteHgYR44cweHDhzE1NYWRkREJNLnZgQ8HxCQaSTAuLi4Kwbi4uCir+saSSU7YWBbN1W2Xy4UDBw4IucgQByYk3g1S5Xr3X5OUVMiwDIoTvL6+PjQaDbz44otYWFiQ8pxSqYSDBw/ivvvu66quBCAr/CauH7erH6rVanj99dfx4osv4pVXXsHs7CxSqZSopFiqpM/f/fv34/jx43jwwQfxgQ98ANFo9B23gaS7Vl51g9GTlATjnQRtEJiKurCwgAsXLmBhYQErKyvY2NiQ65u+c0aVC7ebZXJOpxOBQADDw8MYGxvD0NAQJiYmMDo6ivHxcXg8nl2hBHk/3c/W1tbw+c9/Hv/93/8tfbVGOBzGP/7jP+Kxxx4TFRqDvOity/+jIjyfz4vasFKpCAmh/e50v0miy6gs3ElBqAk2489GEk8TfVwU0mW6NptNPPZ4PZM04rmrvYC1RQFfIwmklYJUPw0PD3d8J4kfbqcmIPW+aL854z2P7aTLvbkIUCgUsL6+jo2NjY7jQ1U/039121/L11F7G+vFOP3zexXdStSv9RpwRYXKc2AnVaouM+Yz/0+3a71el/OHpeaawKMHIglAKvOsVquE0lgsFrjdbrhcLni9XkSjUXi9XrkWeV2zVHtrawsWi0UIQ35vIBBAq9XC5uYm6vU6enp6pBSaRGYikZBzjdc+CWmGsXCbWFrOPpbXpLbAiUQiomTVnp6BQACNRgObm5syDrVarUI+jo6OotlsYnl5WSxzms2mXN/0+o1Go1KubrPZUCqVJDAon88jmUwilUrJ9UuiWrcziVHe0+x2u/hGMq2b6lse41gshrGxsbsSLPh+up+ZuDP4vzHvuz/5ukGYM6hdDKOvjwkT14tms4lkMomRkRGzzO02YmtrCysrK5ibm8MLL7yAH/zgB1hZWZEVZw7OOJEJBoMYGxvDoUOHcOzYMUxNTWF4eBiBQEDK4W4UJB9IMpbLZSQSCSwtLWFhYQGzs7NYWlqS5GiqUkigaIKRRuzhcBjRaBSTk5MYHx/H5OQkPB4P4vE4HnnkEfh8vrtGLnbz4dopfKMbOBjWEwpO0Ogd5vP5ZDDLsvaenrdNy68FTny14qWnp0e2E4B4EJm4+X6o0WjgjTfewHe/+1289tprOHfuHNLptEziNMlI76lDhw7h5MmTePjhh3H//fd3lNF1g76OeC11I5s5udGPO0nE8fyvVCooFApYXV3FW2+9hYWFBQlzYXmd9iklMcF2oaLD6XTC4/HIpGp8fFyu8dHR0T1RYvZevp9xwegb3/gG/vIv/xIXL17s8JpzOp1wuVzI5/Oo1WpIJBJ48skn0d/fj2g0Crfb3aHG1X2mkSBkP9iNPOtGwmiihteBDgZif6gTfumvxhJOt9stRAhLImmzYbPZpByY5IMOG9FEpS4l7lZW/E6o1+sSRnQj59DKygqef/558TXOZDLIZrNCKlJBpvsQ7R/5bhOB70TKdXuPsW31+9nHGBWr1wPjudjtZ/7e7XN3Ir2vF0ZlrL6Ha8K8myIXuNI3s7/U7zOqcnkNGdtUX0/Ga8vpdHY8SF5qpSi/h4Qfw1J0SThJN5/PB7fbLWQb8LaydWpqCo1GAxsbG7J4B0BUs41GA319fWKnQx/Hvr4+JJNJScnWpdrFYhF9fX0Ih8Oo1WpIpVIolUqYnZ3F+vo6lpeXEY1GceDAAVHcVioVJJNJABAVdalUgs/nQzAYFDJybGwM1WoV+XweQ0NDyGQy2NjYwPr6OprNJvr7+zE4OIiBgQEp9a7Varhw4QIuX74svujcZgblMNW83W5jZWUFKysrCAaDiMVi8nl3Au/l+5mJu4Nms7knzx2TdDRhwoSJa6Ber2NpaQlvvvkmnn32WZw7dw5ra2soFouisuKg0e/3Y2RkBFNTU7j//vtx4MABjI+PIxQKSUnHjYDG3lrFmEqlJOBlbm4O8/PziMfjMhGiygnoLJv0+XzitTg0NITJyUlMTExg3759CAaD8Pv9cDqdUmpEry6mBN5OtNttGWRyBZslQVSH0FeI4ASVZdL0AXI4HDIAv14MDw/j0KFDWF9fx8DAAIaGhhCNRsVvz2i4T/UBH9cCy1NNXD+2t7cxNzeH559/Hq+++ipOnz6NZDKJarV6lZKR/qH33HMPHnzwQfzQD/0Qjh079o5VAdejYqQalkqSGz2vbhQsRysWi4jH45iZmcHFixexvLyMtbU1rK+vC7GxE7lI1aLD4UAgEMDIyAgmJiYwNjaG/fv3i2XD3VBwmICo1+r1uqTBUp2TzWaRTqdFkZpIJPD6669jY2OjK+HtcDhgs9lEEaTLXRuNBpaXlwFcIcY5CemmMuR5TV86fd6Q2OSDoV8kDKnK4u8ul0s81jRJuFsXW0qlEtLpNJ5//nl8//vfx8bGBjY2NpDNZpHP50V5WK1WpZ/QpeK3Ck3qcQzA61cnCGuVJRVkLL0mAdxutzuSoKkMZaAcrREYjsXP1t+jPSaBq0k+TUobCUZdLq6fCS686sApvk4iloo+7QepldlU4GnynGXixp85RiKhrvt1KveoiNfb2K08XysbrVZrh1KcZcGFQgE2m02+i/cnEs66BF2rVfn9RjWwkbTU5D6vM7vdLuNHff1zO6lWpHWMru7gdcl2179zkcDj8YhSl8eCvqv8THpA8p7DMSkX261WKzwej3hncjxZKpWQyWSk3HtxcRGjo6OYmpqCz+fDyMgIMpkMkskk2u22XIuZTAYejwehUAjZbBZutxvhcBjVahVut1tCyTY3N5FMJhGPxzEwMCALMVykabVa0v96PB74/X74fL6O9uJ5RrKU7x0cHEQgEIDf79/1C3MmTOwFmKSjCRMmTBhQrVYxPz+P1157Dc8//zzOnj2LjY0NSQ7lRMDpdCIWi+HAgQM4fvw4Dh06hMnJSQwPD1/TEH0ncEBNcotBL/Rpm52dxcrKiqwi6/I4XULs9XoRCARkYDY5OYmpqSmMjY0JwXgr5dzXC3pJ5nI5JJNJWZ1OJBIdkz4dKmAMEGC7EBxQUwFApdvExISU0nIQrR9aLWOxWBCNRsWPjAP6aw0sGZxgDDUwKuTMwek7o91uI5VK4bvf/S6++93vimKYgSZUWHAiEwgEcO+99+Khhx7Co48+iqNHj16T2OUkTysZu6ljWBZHEuZmvEivd391WvSlS5dw7tw5XLp0CYuLi1hfX0cmkxGSVZMd2puyv78fbrcbgUAAo6Ojokyenp7G5OQkYrHYnlz93u1goiyPXzqdRiKRQCqVQiKRQDabFW9ceiHqMlvaPpAg4YLLTnC5XB0eeOybhoeH0dPTg42NjY5KGBIzw8PD+MhHPoJQKCQLMvSAI3HIhSefz3eV/cRexcWLFzvu01Qk0rOSC1j02bvRfdXKT5K7ugycZC7JW632pB+h0+mUe4bRC1OnafNY6nLpbqpAElbGv/X09HSU0fK9WmlH6Puh9j/kM1X9et+7eWJq0o7QakCgk5w0/p9W4JIE4v7z2HV7aIJYq0yNvpPak5fKVN32ADpsMuhZSFKORL3FYkEymcT09LSQvByn0bKGfTiJTo7TuJ36Z30Menp6OkL02G5Mp67X67IA0N/fD5fLJRYJ+rzh8dFktSYfqZDnNcD3c9GcPpQ+n0/UgAyGYhvV63VRQlYqFfGFTCaT6Ol5O+SF5dEDAwOIxWIol8tIpVLo6+tDuVzG/Pw8xsbGEIlE4HK5EIvFZJzIUvDt7W3kcjn4/X40m01ks1kh01nOPjQ0hHg8jkQigVwuh8XFRdhsNvj9fgSDQbEv6OnpkfLvdDotgTIOh0Pamp6VtVpNFr83NzfhdDolyduYvm7ChInrh0k6mjBhwgTeJhrn5ubw8ssv4zvf+Q7Onz+PVColRCPw9gAtFAphdHQUx48fx/Hjx3Hw4EHxZbxRhZsmGRuNhpRTXr58GTMzM5ibm5MSGE5idQm3JmVYyj05OYn9+/djcnISoVAIgUDgplSW17vdLAPN5XIyCU8mk1hbW5MUbA6aSSrqpFwOlnWZk7G0jt/J1ehWq4V8Pt9BKvb29uKf/umfMDw8jE984hP46Z/+aUmxJKhYzGazQnTSX6ndbotXZTdQZWdErVZDJpMBcCXd0sTVaDQaOH36NJ555hkJf6EagZMClgT7/X4cPHgQDz30EB577DGcPHnymkrG61Uxkli8kypGEp4sHbtw4QLOnj2Ly5cvY3V1VRI1jaXRwBXFGlVmTIjm9Tw1NYX9+/djeHj4jhGk7xdoApBpqYlEAul0Gmtra8hms0gmk8jlcsjn89KPcaHHWMpsVDdpVRj7MSrRu2FoaAgHDhyAx+ORB1NZaYOhf/d6vfibv/kbfO1rX0M8HgcAbGxs4J//+Z/x8Y9/HF/4whfks7n4o/0hOWnf7XjxxRfx/e9/HxcuXMDq6ioymYwcD96DrleNqENFtAUB1YF+v1889uhr+sADD1yV/E2SjMed92+tRNbewPyZ55wOctJKK6300/YiJOF0mBXfz/PQ+Df9P0YyTp+rJP14XmrCS9uTaD9OTRjq8B6jx6EOzTH6KfL7jaXGxhJlow2Asc/m/mqParYJjwn3n9ctw5B4PeoxGCs8uJCrFam9vb3I5XLI5XJwu92w2WwIBoPwer1wuVxCanK/gCtkJgBJZ04kEh2p0STy6vW62AzQe7Ber8t7dLAQQ1MYyMJQIaoRe3t7JWSGoTC0/Wm1WiiVStIO6XQaW1tb2NjYEPsDjsGCwWCHIp/jL95PrVarWPjwHEkmk+KpSkKy1WrB6/WiVqthc3MTDocD5XIZ8Xgcw8PDGBgYkMW0ZrMp/qc2mw35fB6pVErGuVyw4Xh7bGwMsVgMKysr4mFJZTnV21S80r+VJCnHfWzHSqWCdruNWCyGer2OUqkkITZra2vwer0yrjYXmE2YuDGYQTK7DDpI5h//8R+7TnJNmHgnNJtN8S8yJ6c7o16v48KFC3j55Zfx7LPPYnZ2Ful0uiPJr6+vD6FQCFNTUzh58iROnDiBqakpDA0Nwefz3dDAw0gy5nI5LC8vY3Z2FjMzM7h06RI2NjaQz+c7SksByKDe5XJJiTRJiAMHDiAajWJwcBAul+u2HPNms4nTp0/j0KFD4l9VLpdl0Ey1z9raGpLJJDKZjKSgao8xPdHhJIUqRZfLBY/HA7fbLeoQj8cDl8slZdNUbrHtarWaJKySLODvJIiHhobw+OOP4xOf+ASCwaCsWlcqla7l01Qu9Pb2IhKJ3FA7bW1tIZFIwGq1YnBw0ByI/h/a7TaWl5fx93//91hdXZUyUpI2JIpZMj8xMYGHHnoIjz/+OB566CEEAoEdP1srGHciHbT33J1SMZJwYHDTuXPncP78eczPz8sEiBNHXSrIiSyvA6/Xi1gshomJCbmep6amMDExsSeIoTuNG72fcXGCxG8ikcDm5qYorTkhZborVYzstzQBZCyX1B5tmoRh/0wyj6okj8eDCxcuYH5+voPQsVqtOHnyJH77t38bH/jAB+B2u2VCfKN9yPe+9z187nOfw4ULF4TM+vjHP46//du/hcfjAXAluZj7MDg4uCsWSNbW1vDcc8/hpZdewsrKCuLxOHK5HEqlkqgBrwf6vuJ0OiWUIhKJ4NChQzh69Ciq1SqefPLJXT0mMir0NYFpVERqMtH4N2OiuCbnuDDD9uV4xKjE4wIhf+a5y37MSKobyUFdLqwfADquF13ubQxy4WexvNwI/k23nyYwdQk294f7wMUqKpLL5bIoE6le5BiMZHA6nYbX65W26O/vh9PpFCUxCTttcdNqta5qA6oIOV5ikAtf53dyv6nU04ppTWxysZSJ2v39/fD5fLDb7eLRODAw0KGGJLG6vb2NtbU1WQwj2Ud/au0x22w2kcvl5D6uVbKaPOax0P0hF6n5na1WS0hJWubQc5E+sEwTJxlL8jIYDIqfNveDnpTxeFzGq9VqVfadlgVUf9LPvNFooFgswm63w+PxwGazyXEIBAJot9uy6A9AVM3hcFjEBj3tFrC1BVh6gFYbsFoBS/d+3JyfmbhVNJtN9PX17bnyBJN03GXQpOPXv/51c8Jh4qbBlU0TnWg0GpidncULL7yA5557DhcuXEAqlbpqBTcSiWB6ehoPP/ww7rvvPkxNTSESicDpdF53eVY3JePS0hLm5ubEv42DPQ5wOZhnMh8nT6Ojo0JIjI+PIxwOy6DyVkvjtOqHBF2pVBLlIiftKysrSCaTQuDpCYpxYs4Bnk4b5eCTgzabzQav1yulOLpcrZtHGJUXDB/gJJOr9M888wzOnDkjpUBjY2M4ceIEPB4Ptre3hWDweDwYGxvDQw89JGRPsVgEgGuSXTuB5cB7uUTxdoBE9TPPPIMXX3wRs7OzkqasS6ZdLhcikQjuv/9+PPbYY/jQhz6E8fHxa34uryFNxBN3w4uR13K5XMbm5ibeeOMNUTCSYKSiV18P+jrQpdH79+/H/v37JcXeVE5cG7yfbW9vS+BAKpWSclraNpBQ5EIE1UxUPenSTX0eGUNUNJE4MDAgijj6gnm9XvH84iR4cHAQfr8fg4ODcDqd+MIXvoAvf/nL0rcAEJWO0+nE7/zO7+CXfumXbqrP6YaFhQU8/fTTWFpaQn9/Pz772c/i6aefxpEjR4Q4GBgYuOHFsltBo9HAyy+/jG9/+9u4fPkyFhcXkclkkMvlrvLa2wkkDbhI5fV6xTt5enoaH/3oRxEMBt/xc96vY6JuxKUmFLWicqffucCjy5NZ3qvLnPmsyVDL/6UwaxhDXIykHI+5Hj+QoDEGDGnvSWOFhC7zpppeqy+1p2S1Wu0gYUlG8kE1In/mM9WFuvxcE6o6vIkLxyTb9NiLarxMJtNRsm2xWKRcH7iy6Mb7Defxuhye4yneb0lekjDt6+sTD8ZGoyGEXTabFZItm82it7cXHo8Hvb29HZ7hrVZLyq63traE6NSekTz+bAdewxxn6u1mWT+DzXTwFFWR29vb4kVLRSa3jSQ68DYRzOCZcrksqmgSs/Sq5NjZ5/MhHA6LwpQBPTabTUhYt9uNPmsvtus1VBpNNLe2YekBHH1WRG0WhPt7YK/lYW3WAJsTCEQBfwQIxIDt7atIyPdrX2TitmLPTThM0nGXwSQdTZi4/dja2sLly5fxve99D88++yzeeustKVkmGcI0UJZ1njhxAvv370coFJIB4vV+F1eBq9Uq4vE4Zmdnce7cOczOzkroC8t7AXSQjOFwWHwYp6encfDgQcRiMYTDYbhcrltSp3CAS/KE5CIn8MlkEpubm1hdXUU8HkcqlUKxWOzwJdOKB5JIVqtVEhd9Ph/8fj/C4TACgQDC4TBCoRC8Xi9sNpsoCkhGaQWYLk/TKgo+67Is/cxtyGQyeP7553Hx4kUUCoUONRkH7Nvb27Ky/uijj+IP//APzeCXW0A+n8e3v/1tfPvb38Yrr7yCeDzeQaBTcRgIBHDPPffggx/8IJ544gncd999XVf5Se5pXyzjOIULAySEOGG5nWAZXjabxdmzZ/HGG29gdnYWy8vL2Nzc7Dh/tRqZk2UG3kxOTuLw4cNyLe/bt+8dQ2/er2D/VK1WpS+Kx+NYXV2VxQ+mB3NCqVVaWp2o+xFjaSgntTpIxev1CmFIAnFwcBDRaBSBQEBU5Ha7/R0Ju6985Sv4/Oc/L+V7FosFIyMj+L3f+z386Z/+KZaWlgC83X8+8sgj+OQnP4mDBw/i6NGjtxz4c/HiRfzwD/8w8vk8RkZG8MQTT2B0dBSf+cxnxOfxTmBjYwPf/OY38fzzz2N+fh6JREJCkN6p/JkJuQxDikaj2L9/Px555BF89KMfvW2krInrw07qSl36rX0S9cMYfEdiUodhsW/XATDao1QT/7yGSeTpCgi73d7hd8vrkmSikdjR160u3TYukvJewr69XC6jXC53KB/pZ8j7QLlclvdTgcfyY26DtgDp6emBzWaT/oSEaK1Wk9AWVnOk02m0221ZaOXCK0OmWB5PT2S2LwD5Dl77JCFdLhe2trbkM3nsuA3lclk+P5lMiqKzt7dXlIGsMmi32yiXyzKO1T6SWpFLEpnPxnPC5XLJmMHn84mCkfdTLvhTsctqGa/XC7fbLWpQErj0hmSb5PN5WCwW8cMsFAro7e0VUpZp316vV8qsHQ4HnA4H2qlVbKfWMdAL9PbbYentQaPRhLWQwkC9DNtWBbaeNmy9QJ/Tg15/BBZfEBhwADYX0Nv7NgEZHgPe54vTJm4b9tyJZJKOuwwm6WjCxO1Bu93G0tISXn31VTz33HM4ffq0ECI7EY3Hjh3D9PQ0otGoDO6uB3pVPJVK4dKlSzh79izOnDmD5eVlpNNpmSBzUEqijl6M+/fvx5EjRzA1NYVYLCYlJreiSOFgiymqLDdhaTRDalZXV5HL5cSzhwNrTgq07xK9hDweD4LBICKRCCKRCGKxGEKhEEKhEILBoJRNX0t1RvKT36ON8Y0/6/+hFxG3l/9vtVrRaDTw6quv4jvf+Q5WV1dlgA9AyrBY9j09PY3f+Z3fwcc+9jGk02lYLBb4/f6bbu/3A9rtNtbW1vDf//3feOaZZ/Dmm28Kgc+SL5Z7DQ8Piy/jE0880VWNxLAA/TCOS3it6sCX20kyUrVTLBaxuLiIU6dOYWZmRlSMuVyuo/RWbxMnPpFIBAcPHsT09DTuueceHDx4EKOjo3c8rGkvgYRysVgUQjEej0ua8ObmZkcgiw7W0YEb+vzQqbM6GIjhKVQkkkgMBoMIhUJSGhcMBuFyuaS0+VYwPz+Pn/3Zn8X58+eF8BgbG8Nf/dVf4amnnkJPTw/+5m/+Br/3e78npXoAcOLECfzoj/6ohMUcPnwYx44du+kFpl/8xV/E1772NTSbTfz4j/84IpEI/uRP/uS2LK6USiX8y7/8C15++WWcOXMGm5ubHUmx3cBFApvNBp/Ph0AggImJCUxNTeHpp5/GAw88cMvbZeLdgzHchdcr+3Nd7s2H7u855jCWfutAMB2sBVwZE1BFpz0EWTnBfoAEpg6t0epDjsd0WbAuzybxRTKTynv6vObz+Y5gGr24y9Jpfrb2pda+n5qwbLfbQpwBkIVafj4rQgBI2TH7Pd6juJhcKBTEM5kL2yT3OF6jn6LdbpfSaV0Zwn6b28RFeC6sc4GX76MS0e12iwWJXrBme5DE1L6jXLijwhKAlDu3Wi34/X74/X5RZrLEmyFZPp8PFotF/HfZlplMpuP42e12DAwMIJvNolAoCJHrcrnE6sLj8aDVamEgv4lQswBPu47WVhPtagmt1jYsPb2wtRrobZSx3WpjG0DTakNvTw8GbDY4rBb09faid8AGoAfwBYGxI8CBkybxaOJ2YM+dRCbpuMugScevfvWrpiLCxE2h1WphYWEBk5OT7zsJfzKZxOuvvy6BFSsrK8jn8x0Dr2AwiEOHDgnRSDXh9U7KuLJMomJpaQkzMzOihtrc3JTBmyYZaTw+OjqK6elpHDlyRL47FArdUqk0B3wMdaGnTaFQQCqVwvr6OpaWlkTBSBUKB/fGNEUOZGmaHQqFEIvFEIlEEAqFMDw8LH/jIO3dIFjq9ToKhQIajYa0scViwfnz53Hq1CksLCwgmUwKIba9vS1l4x6PBz/xEz+Bn//5n8fly5dhs9kwPT1tEkUGsD/55je/ieeeew5nzpxBNpsVcppKJZ/Ph0OHDuGDH/wgnnrqKRw9ehSrq6tX9UN6otmtvJKG93ciVVpPoDY3N3Hq1CmcO3cOFy9exOLiooRHUfkBXFEi0w4gGAziwIEDmJ6exuHDh3HvvfdiZGTE9GfClYUETSqurKxgbW0Nm5ubEgRC7zStdtaTcOCKupmEAVNlqU6kD1gwGEQ4HEY4HEY0GhUvP9pP3OnruVqt4jOf+Qy+9a1vyfns9XrxG7/xG/j1X//1q97/xBNP4OzZs0LIAFeIR6K3t1dUsocOHbouArLdbuOll17Cl7/8ZXzlK19Bq9XC8PAwvvWtb2FqauqG9qnRaOCFF17A//7v/+LUqVOIx+NS9tmNXORxYhAUU9UfeeQRfOQjH7mu8uc7iffzmOjdRrfUaarbtEpZW2iQbCR5R1sFrZ7UixFGaE9JWiOw4oH9CBcqrFZrR5m1tlrg2I37EY/HMTIygp6eHqlqYakxxxi1Wg29vb0dnqTValWSsblwSjWi9mlkuTT3N5fLdfjNcjuoSgQgCfUsmWbZcb1eF6UkK1ZI+nGsyXuay+WSChubzYZcLifHhASmDtKiIIaelFQYcn+oIHQ4HPD5fNLGvD9oZSsXfDRhS2KTtiTValXKtvv6+hCJRIRcJuELvN0PhUIhDA4Ooq+vT9pae4HrUB2/3y8qSKo3meTtdDgQ2CpivBTH/2fvS4PkKs+rz72978tM90z37KORZrShHVlIBkSxxAYc7FDYSZzFTjnlOHbKlao4qfyIXSFOfvkrlysp21VxnAo2XrIYFwZjYUACsQntaNdIs2+97/u99/sxnJe3mxEgJECCeVRdM+rp5S7vfe/znuc857hredSsTlScQXhrebhKCZScbWioJriKKZj1xXGTdnfAWkhBhw5nOYeGzQGLOwCnRYVq6DBFV0C/4RaMFbXluWg53nG8NoavO9BxeWV1DYc8KS/HclxOsCWiu7tbGHF8kCOXy+H06dPYu3cvnjZ6sysAACAASURBVH32WZw/f16wk4BFhls4HBZmMB/5yEewatUqdHd3v21gX9d1keym02mMjo7i6NGjOHbsGEZHR5FKpVAsFsV3sh2ovb0dXV1dGBgYwLp167BmzRr09vYiFArB6XS+46RD13XkcjlRqc3n80J0e35+HlNTU5icnBQOrEyK5YozF/M2m02wE0OhEDo7O4VL4LZt29Db2ys0JKnJ+F7qF8puoXL7kCwEz6RXfqiqis7OTvj9fuTzeZjNZvT398NkMuHQoUOYnp6G1WpFPB5HqVRCIpGAz+d7g1vphzF0Xcfx48fxxBNP4Omnn8bZs2eRz+cF0Ejn146ODmzcuBG33XYbbr/9dvT09IjPqFariMfjiEQi4v9LGb/I2nlcDF6tYIEgl8thbGwMr7zyCk6ePInR0VFMT0+L9ji2qQGva8i1tbUhFAphYGBAsBfJRr4WTDjej+A8mMvlROvz+Pg45ubmREGDzG7OhwQNWkFFFjjIUiJTicYMZFIHg0FUq1Vs3boVPT09CIfDQjfx/QZ6v/nNb+I73/mO0G202+341Kc+hX//93+/5HueeeYZfO1rX8NPfvITcU85cuQIAODuu++GzWZDqVTC6OgoRkdHsWfPHvT19WHt2rVYs2bNkp85PT2Nr3/963jiiSeQzWZFa+Dw8PBbAo6pVAqPPfYYnnzySZw+fRpzc3MoFApLusADEKCF1+tFT08PRkZG8PGPfxz33HPP2zlk70t82HKiqx2tBJXL/T/BO17rskP2pdq3CdrJAKUsaSEzJ3kdtepOkukmmyiRTcfiBecc2X1b7tCQ9S/T6TQ6OzubpD2KxaIAzWhcouu66PSo1WoIhUIAgHw+D0VR4Ha7BUD5mimEABu5n/V6HeFwGOl0usm8hUCrbA5EFiJN7RwOB/x+PyKRCAKBgMgRCSASgKQ+rtvtRiaTwfj4OPr7+xGNRuHz+cT+uN1u4XotazJ2dnZC0zSRf/J5mvFQjzEQCAgwNBKJCB1uWaOZoC0BXbPZjEajgUQiIVqreQxKpRIikYjQfWTLtGEYSCQSmJ2dFbIYZDC2tbUhHo8jmUw2AaltbW3o6ekR5jH5fB7pVAqB+AWE1RJ8Wh52vQ5YXEC5ALNRg1orQTEsMDlc0C12KKU0FNUEn1GF7rDDqJZhggFNayBT05DQzfBVsrAaY9A8nYgZ7kvPRbq2aErzJmY0y/Hhjnq9fl3ex5aZjtdYyEzHhx56CD6f733eouW4HqNarQp3tOtxYno7UalUcP78ebz44ovYu3cvTpw4Ido8ZVCEQOO2bduwevVqDAwMCP2XtwpWsiuVChKJBM6cOYPjx4/j8OHDmJqaQiqVEk6DZEN5PB5EIhEMDg5i9erVWLt2Lfr7+xGJROD1et8xoKJpGpLJpBDhl/V+5ubmMD4+jpmZmSatM5lVICfbbDtka3RHRwei0WgTk9HpdOLs2bO48cYb35MxJFf62U6Uz+eRyWSESzX3m8kzBd5bmQ8ye4oLFDIOLBaLAKBNJhM2bdqEjRs3IhaLoV6vY2BgABs3bnzX9/daDE3TcPz4cTz66KPYt28fRkdHBYuUDAO3241IJIJdu3Zh9+7duO222+DxeJo+hy3TuVwOBw8exMjISNMYIsuAj6tpasF2rnQ6jVOnTuGVV17B6dOncfHiRczPzwtReZnZS70qr9eLvr4+jIyMYPXq1diwYQNGRkY+dB0H1OjKZDKYmZnB+Pi4YEnPz8+LQgYXoFwot7Y/y46mXNBzoR8IBARDkezE7u5uMf/4/X6x8L8W72dPPvkk/vIv/xKzs7NCe2zjxo342c9+9raLFvv378df/MVfiMW3pmlYtWoV/uqv/gqbN2/GxYsXMTo6KhhRAOB0OrFy5UrccMMN6OnpQS6Xw5e+9CXs2bMHxWIRAIQR2v33349vfvOb4r21Wg3z8/P42c9+hueffx4XL15EIpEQ97DWYEHK5/Ohs7MTq1evxs6dO3Hvvfe+78zFy433agy9mfs0gCaArdWFmn+XryH5//JnyJ9fr9eF1p1coANed5rmfCd/Hlt5ud2yGZys2wy8LmPA52SdVJkVKL+GIX+G7P4uP7eUOUzrvsraz3J7MoE4WWOQYCYBSRmMlDWj5bZmFpvogC6DkXa7HYZhYHR0FGvWrBHtvcytCLxRPgKAkHsha082QmGOQpAzl8uhXq+LVnFqEsrt0vF4XOQ+nHe5D1arVWhLUupENo8JhUKwWCwolUpCo5vHjQ/qGtL5uqurC+FwGB6PB41GA/l8XoCcLCpVq1Vx/wReLzTSxCudTgNAk2ZrIBAQ5i3lchmpVAq5XK6pqEw3b6fTKbpXaEpTrVaFtiTBRI/HI/LrSqUixnalUhF6kFarFYFAADabDdPT05ibmxPHwGKxIBqNwuPxLH5/YgaR2Bn4yklY9QYsCmCoJqgKYNI1mPQGajY3ig4fnJU8XI0iFACKyQzN4YNiMkOp5KAbCkrOAGoGYGg6FBiYC/TjaNGE7bs+iq6uLqFTqgBAYhpIzQPVMmBzLBrStHcvt2MvR1NUq1XYbLbrblAsMx2XYzmW47qJRqMhNNf27t2Lw4cPY3Z2ViRgbBfp6urCpk2b8JGPfATr1q0T7rBvh1Uot2Mkk0mcPn0ahw4dwrFjxzA5OYl0Oi1aagietLe3C7Biw4YNWLFiBXp6ehAMBt+xLmuj0UAul0MymUQymUQ6nUY6nRYA48TEhGibkdtB5aTbarXC5/OJ9mi2HUYiEXR2dooW6UAgAJfL1QSIss3kSoMLILktigkvk2e2gadSKeE+yxZxvkZuu5IXbq2LNHlBwQWRqqpi8cFk1jAMrFy5Evl8XgCOskPkhyV0XceJEyfwy1/+Env37sX58+cFoxGAaDXq6+vD7t27cddddy0JRFOrimxGMgy52CUzhGzGqxVsQ0smkzh+/DheeeUVnDlzRgAqvDZk0Jm6VuFwGKtWrRIA49q1a9HZ2fmhaHkiMJzJZDA7O4sLFy7g4sWLmJmZwdzcHBKJhCiqyA61S7EVWzXVuABky3M0GkVHRwd6e3vFHERJhuvN8b1SqeD3f//38dRTT4lWzEgkgm9961u47777Luuzdu3ahVdffRX3338/XnzxRVSrVZw/fx7f+MY38OUvfxl33nkn7rvvPpw6dQonT57ExMQESqUSjhw5gmeeeQa/+c1vMD4+LsAKk8mEwcFBfOUrX8GnPvUpHD9+HF/72tdw9OhRTExMNN27WsNkMgmN4RUrVmDnzp340z/90+sOXGwNGbCSgSkWpGTzE85dBKhkwEo2SJELWwSLOcfILDS54LUU0EgwcCnjFv5dNleTwcdWkBBY2nRNvr4uBQTK90nZTVr+m8xUlDVUWzVVmXdwPHo8HrjdbqE5SIdl2UVaJr/w/i0bP7X+TkCJD26TzBZkzqFpWpNhC4+b7EAtS3xwHKRSKcG8o3u9xWJBLBaD3++Hy+USgBjnP6fTiWw2K8DGarUq2nfJTCLzkux+jjG73Y5gMCjGG3UKCVayYyaTySCRSAiJChYkdF2Hw+FAKBQSeZbsxj0xMSHuv5QKsdlsgqXJfU8kErDb7Wg0GigUClhYWEAoFBKFamo58nyyCJzL5YSGJnPNbDYrmJrMY7PZLGZnZxEIBDAzM4MVK1agu7tb5A/ZbFYwKYHXi+08h5qmwe12I5vNCmB2bm4OmUxGtHKHQiHBiiSIWCgUYLfbxfsikQj6+voEW79cLmNsbAwejwedHWFELA20W3Soiht5WGArZ+FrFGGFhppiRlW1wKjX4K3OwaQCmmFAVRRA0aHVy9AVF2xWGyyVMjyVNBomG6o2N8omKzRVRb60+H0L83PwuZzwt4UQ1Mtwzp6GJTULVWtAsViBjr7FgRl6vYNkOZbjeo1lpuM1FstMx+W4GnEtMkPeaei6jvn5eZw+fVo45I6PjyObzYoKP9lrq1evxo4dO7Bp0yasWrUKoVDobQEc1OQplUrIZDI4efIkDh8+jMOHD2NycrJJXJugRSgUwtDQENavX48NGzZgaGhIVC3fCWhBsDMejwvds2QyKQCB8fFxxOPxJhCACxYm6Q6HQ1S1w+EwOjo6BIOITEYCjG9lxnG5Y4isULatyELmdJzlz0QiIYxrZAdamZnIxQEXGBQX50+CV3a7XZjyMJnmg4sCq9WKiYkJjI+PIxaLweVyoaenBzfccAO6urrgdrvFImL9+vUfeLdUXddx4cIF/OpXv8KePXtw+vRp0WYMQLBhh4aGcMstt+Duu+/Gpk2bmkBpglZcoLe2YvIaOHPmDLZv337VHMIJMsZiMXGNnjlzBhcuXEAymRRggWwQ4HQ64fV60dXVhfXr12Pt2rXYuHHjh4LFSAbO/Pw8JiYmMDo6KliLdINm4WIpYFEGHGS2osfjEe7O0WhUFDF6enrEPHO1WKzXyv3sv/7rv/B3f/d3yGQyAACXy4UvfOEL+Od//ucr/uzvfe97ePDBB8U1pes67rvvPvT19WFoaAiVSgULCws4evQonnrqKRQKhab3K4qCaDQKu90uNNNksxr5dTRp6OjowJo1a3Drrbe+r+xFeb7nQ3ZIJhBI/Tgy3HnPLpfLwlSMLf2yZiz/H4/H4XQ6m1pT5d9llqAM6LWafvB5vof/l/+21O8MGfCTi2R8rQywXeq9Mhuw9TMJ7MnMQwACFOTr+FN+jbxNZCjLgKT8XgKSco4lz7nUGiRYxfsHt8NsNosCBUE4AnhkOfN7ZfCVf+Mx4vbydXJ7smxuAywyheViGIP5C3ULaUDHfSMoNjU1he7ubng8HqERyRZfGqiZTCbRcVMoFARjmAw9i8UigFF5nLAYajKZxJh0uVxwu90i1yVQTXPATCaDeDwuGIdkPRKQYwGRc7s8LjjWyZaVC8O6rosirN/vF0Zcfr9fnE8yCdl9Q1YjwV+CwbyWqS/OoiS1NVm0d7lcwrCnVqshnU4jFos1AfW8n1DPsVQqiXZyfje1LUOhkBjbFotFkAnkYnpXVxe8Xq/Q+S4WCvCWk7hBLaBby8CAirLNDQ0qgtlpmPUGyqoNVdUCXTfg08swDB05kxN1iwMOow63XkHD6kTB3wVvNQdbNQ+lUYVutqEUiCLjieBQooRIZwT2ah6q3oCumBCspOCv5WA1m6CYLVBhQDFbYPStg7rhFpgdTqjmZd3o5VhmOi7HuxAfBrbFcrw7wWTteh5DhUIBo6OjeP7557F//368+uqrSCaTImFRVVUYOmzduhVbt27FyMgIurq6RKvHmwWZWAQaz549i0OHDuHAgQOYmJhAKpUSyRdBrc7OTqxatQqbN2/G5s2b0d/fj3A4fNlsRiZ51IckCEfzhYsXL2JsbAyJREKAcrIzIpNhOvlFIhHRCsPf2Srt9XpFEno5cakxRJYAjWoKhYJo6SbAGIvFRBsmTWuY8DEB5jGQF3eycQSdaLkAIYuKFW8y1dasWYN169bB6/WKJJkJKT+nWCzi0UcfFftiMpnQ3d2Nvr4+9PX1odFowOFwIBwOf6ALPclkEr/85S/x+OOP49ixY03XE8fTihUrsHv3btx7773YsGFDE9DI9neZzSiHfJ4o4u50Oq9Io5Htc4lEAkeOHMGBAwfw6quvYmxsTFyjMsjI1rBAIICBgQFs2LAB69atw8aNGzEwMHBVW7mvpajVakilUpiamsLo6CjGxsYwMTGB2dlZwTCR5xKC+0AzsEgGDDX7OKd0dnaip6cHPT096O7uRiQSgcfjeU80Fd/v+1kqlcI999yDV199FZqmQVVVbNu2DT/5yU/Q2dl5Vb7ji1/8Iu6//35s2LABwOK19sgjj4hxzaLXUkGWKcFQ4HUwyWKxwO/3o7u7G5s2bcLtt99+xdqLrW3DMmOQDDK2eRaLRZRKJaGVRtkMgoX8u9wCyyJUq0wGgRkeB3kb5JZg+XcATdvJuWgpsFDev0uxBlvvo/L/W1/X2m7MuYf5C685+b4nj3WeV1nz1OFwNDEFCTCyMGe1WoUDL0E8Bs1U5NZt2cSEwA5Bb+Y+NEWRDUNk6RYWF2RwkMU+HhMCWiwksl2ZYFors5MFRWAR3JfnLFVV4ff733DuTCYTgsGgAJ54rGUGqs/na9pngnE0enG73eJ8scjCcVsoFJBOp+H1eqEoipCgYGtya/5BkM9isaDRaCAQCIh95rEhOEcAj9cSjzuBUDpB67oOt9stulSy2Sw6OztFQZcAJ/eLRiu8JsjspPyOPHbIBKWkRalUEvf6VColANZAIIDOzk74fD64XC6sWbNGtFIvLCwgkUg05avyOe/v7xfXPAudpVIJ8/Pz6OzsRCQSETkEpTfm5+dFDkngtlgsIpVKwWKxCO1Jh8Mh2J3AotY75TxsNhtcLhd8Pl+TgeLo6Kgwpunp6YG+MIFAbA7h/AKsjQpUkwJ7o4SaaoWiqtAVC8p2H/I2H7zlFNRyESp0qFodLqMOk2HAbFQBrYGG1YeCxQoYCuyaBlWtw14vwV/PY1DLI1SzwqxoaGhVaI0GXMUE1EoRCXcIiskKl2rAlZ6HrmkoNnTA7oLhD0EN9cDyGmuYDOPLimXNyOs+rte1/TLT8RoLmen485///B23Zi7HcjA5u56iXq9jZmYGx44dw1NPPYVDhw5hamoKxWJR7A9Zalu2bMGNN96ItWvXoq+vD36//23tb6PREMLio6OjOHjwIF566SVcuHChSROS7WbRaBSrVq3Cli1bsGHDBgwODr5tBiVD13WR6KXTacFmXFhYQCwWw9jYGMbGxhCLxURlmowjVr65eGxraxOgYldXF7q6utDd3Y3Ozk4Eg0HBMLgaQfYlWYn5fF609WQyGcRiMczNzSEejwsdHy4g5fYmuUrNpJZsDib2rQ+yFmXB9lbGBZ0pV65ciT/4gz9AIBBYcj/m5+fxyCOPYO/evZienobX68Udd9yB3bt3IxqNol6vCwfHD1pUq1Xs2bMHjzzyCF5++WXMz8+LxR81Gvv6+nDbbbfh3nvvxdatW5vGjyw30MoOIeOUj6Wuv8udh1gMyGazOHHiBPbv349Tp07h/PnziMfjQo+K44h6UsFgECtXrsSGDRuwZcsWbNy4UbRZfZCCDJDp6WmcO3cO586dE8zFZDKJXC4nWsq58CO42NoK7XQ64fP5BGORc8ng4CAikYjQoX2/zVqA9+9+tmfPHvzJn/yJMEjw+/148MEH8bnPfe5d254777wTJ06cEIv9pcLj8WBwcBAdHR0AIFjKlNOIRqP42Mc+hl27djW971KAIcEkAoJkqXPO5/xPOQy+RgYmZJdduc34Ui3D3B4AlwRUW2Mp4A9AEygtg378m9wmzNeRiSW/l8/JQGDr7zKTkM8DaHqtvL2t40RuZ6amn/w+WZOR2+9wOBAIBESbMIE6hs/nE/dMahNyjuzo6ECtVhNgGc+P1WoVYFc6nRbAGlmjNLOkNqKu60Ljl+eSABkA0UYt39851/B7ySD0+XwC5GsFTRRl0ame7+O+8ncCqzyWfMisSjlXaD3HiqK8of2d8wv/L5uLcYyykCaPf4Jc3D++V9ZrJAgLLGober3eJidtnkeChTSFIRiqqirK5bLQmKQJDIFbGTiNx+MoFosCgGarN81mTCaTAGGtVqs499wPniPmrPxc3mcJanJf2tvb4XK5EIlEEI1GoWmaYD2yqEl5G+bAPD8sQKdSKZHn0lE6EAiIQjKB07m5OdTrdRQKBdGuzjFLQLStrQ2KoggQki7azD1tNhs6OjrgdrvFcaM+pdVsxg1aDF25aTjqRVi0Gky6BhVA3WJF3eaGYQBlqxsWrQJTvQZXNQ9V16ApCupQYRg6bNBgQEFBtaNussChAjajDthcMDxt0H0hqNXFNU020IOqxQ5btQjv1Ksw1csoBHrQsNhhKaTgysegOzxodA7C5HCh4Q2h0d6Nhr+z6Xoh0E4gcslOJsNY1IzMxIB6DbBYAX94WTPy+o3r7qQtg47XWCyDjsvxYYxSqYQzZ85g3759ePbZZ3H69GmkUimR9DJRWLNmDXbu3CnAv3A4/LYWxGTnlUolAWo+//zzOHHiBObn51EoFKBpGkwmE+x2O6LRKIaHh7F161Zs2LABAwMD6OjouGygkdXf2dlZ0QYTj8cxMzODCxcuYG5uDqlUqsn0BXjdzZctcNFoFNFoFD09Pejt7UVPTw9CoRB8Pp8QKb/S0DRNVO6z2ax45PN5JJNJLCwsiIfMwOTiRF5c8r7C5IdVZlbJKSYeDAbR3t6O9vZ2hEIhtLW1iTYZeZHC5JTfUygUkEwmMTExgampKWiahkAggE9+8pOIRqMi2eZiZH5+Hk8++SQef/xxTExMwOl0Yvv27bjxxhvh9XpRLBbhdruxY8cOdHZ2XlX35PcjdF3HwYMH8Ytf/AJPPfUUpqammsa42+1GNBrFzTffjE984hPYtWtX03VEVorMGmDIIOPVAqPYBjY2NoYXXngBhw4dwtmzZzE3Nyf0PLno5Fhqa2vDypUrsWnTJmzevBmbNm1CW1vbVdmeayFqtRry+TympqZw/vx5nDt3DhcvXhQgP5mLvDbk645MKAL2LFZQX7G3txf9/f3o6+sTLqUfVjfuN4uvfvWr+OEPfyg0E++44w489NBDb4tJ/06Cc/CxY8fw1a9+FYcPH276u8Viwe23346HHnoIgUCgSZuQbZGyrAUX/wQPc7lcE0NdZhnKLHRZ6oKgi6w9COANrcatcSlGYCsYJD8n6wXKYBLZflxUyzIbstuw/Dw/g8UQgl8EY/gg8CeDZTKDiNsgg4vhcLipDbmVGSmfFzIHCWLJLeEcV4qiiHut/DdKHlBbUN5OuhPz/ur3+4XhSCvrk8eV+ZR8TuQWWRlMLZfLbwDsyHSXj4WmaYIhLWsQ8vjJLdPcBm4zn5dfKwPEfF7XdaE9yO1rZYW2Ap3y31uZp/L/ZbBXbrdnLsP94TUms+rJYpRb/pmv8BwQjM9mswBeL9T5/X4BivGeRmDZ5XIJIAyAANBkXWoWAwlEapomiga81lk457HhPiiKAr/fL8YaGcT5fF7sB/UiyTplTiAXJDnGyEy02Wxoa2vDwMAAHA6HMALM5/NoNBri/HCO4rVC8DCXy4nj7vV6YbfbhVyQ1WqFx+MRmpCGYQjdR6vVKt4LQJAFeO44FrxerwBwnU4nOjs7EQgEBDCbjc1jxfxxDNTi0BUTGlBhhg6nVkFNtSLn6YTVrMCk1WGtl2FuVAFNg6LXYdPrAAxoihlFwwzV0GCCBgUqDACqqqBidsBksUH1BWBrVKHAQC06jIrNjSLM8F88BHOjDM3mAswWmIpZKLUKyv4IspFh2IwGPGjA3LMK9d61qEtz9FIhz5kWiwXm9DxM8QkgtQBodcBkAYIdQOcgEOpe8jOW45qOZdBxOa4slkHH5fiwhGEYSCQSePnll/Hkk0/i4MGDmJmZaQJHvF4vVqxYgR07dmDLli0YGRlBd3f32170ye3Tp0+fxssvv4wDBw4ITUhWYQlqjoyMCKBxxYoV6OjouKxrkInQ7Ows5ufnhej3zMwMpqamMDExgVgsJoAUMj4Ipvh8PoTDYdG+2N3djYGBAXR1daGjo+OqgQNMPmnWQm0gLlJnZmYwOzsrTF2YgJLtJpu4yIsa6ij6fD54vV4EAgG0tbUJh2y61IbDYfj9fsHKeDPQtFVEn783Gg1kMhmcOHEC+/btg2EYCIVCGB4eBvA6c8YwDGQyGYyNjeH555/H6dOnUS6XBbORCx0AGBwcxD333IObb74ZfX19V3yc3+uIxWL4n//5Hzz66KM4deqUaF/iuQmFQti+fTs+8YlP4GMf+1iTziLPb2sbJ9ui+LgaADc1VOfn5/Hiiy8Kh+mJiQlks1lxbXDhSSbj0NAQNm3ahG3btmHTpk0IhUJXvC3vd9BYIBaLYXR0VLA66RTN6092Mm1d9FJLzOfzob29XQCLPT09GBwcRG9vLzo6OuB0Oj9wzM93K3bu3ImjR4/CMAy4XC780z/9Ez7/+c9fddYnNUpzuRy++93v4uGHHxaO2GSSMVRVhdPpRCQSwZo1a4TrLYEsMlzZOigzXVvdi4GlwUKGPE6WYvXJmnoEjLjIbZXDoBMwfyfLVm5HpVYo5TMIsLWCVrLeoQwqXQpkagU3W/ePx5hg0qWOBUFKagjLpjDValUAhjLrk/dSuZ1TbmnmOWIxkmCVDDSWy2WYTCbxfbK2H/eX51NmIMr3P96zW/d7KeYpx4g8Pt5Ko/JS44b/l5me8u8ygCV3L/B8yiYyMsOUQDIlVMiIpMuxDDxzLJI1xxZ12VCFY1dm8MksQp5ntiPLQKSsgctrQQYbmWsRfKZmJLUI3W433G630LXk9weDQQSDQXG8G42G0LGmnqthGKLAILfaU7YgkUggn8+L/eH1Sbam3W4XoBvHZ6FQEI72suM3sAhicb+tVqsYjyxQygWCUCgkwEKCsmRcOhwOWCwWketzvDscjqbCCXUfqdkeiURE6/rU1BSSyaQA2jmuCOSXSiW4XC6Ew2Fx3Agiu91u0UJut9sRiUQQCoXgtZnRdeI38CbG0dAMFNVFtrDDqKNqsmLe7IPLoiKk1GCrFaFoNVQsbpj1Oqy1EkyGjprFjoLNB0PT4KpkoesNlGGCoZgA1QQ7GtBUMyxmE2xWKwx/B3R/GLA50UjHUa+VgUYDaqMOS6MK1WxGsXst8mY7oGlwpmdRCUahDm9De6RLMGVlF3JZtki6qGGbPg1rcgrwBGByB6BWizCVc1CjQ1BXboJiur6L7R/CuO6SuWXQ8RoLGXT86U9/+oEXuV+Odyd0XcfY2BgGBgauuRbrer2OiYkJPP3003j66adx+vRpJBIJkZjZbDZEo1HccMMN+OhHP4p169ZhcHBQJEdvFaz4lkolTE9P48CBA3jppZdw6tQpAfhRw4Yadlu3bsWNN96IKQhkbwAAIABJREFU4eFhkdi83Wg0GojH45iensbCwgJyuRxisRgmJycxNjYm9GiYvDEZoNh1W1sb+vr60N3djZ6eHvF7JBIRLUhXElyEElykBmMmk0EqlcLs7Czm5uaEAyC3lYAtFzUEOsgioPEKwUWyFmXjGlaS6fz4bo3FarWKV155Bfl8XjhCMvHiYqFUKmFychK/+tWvsLCw0NT+VCqVRHV99erV+N3f/V1s2rRJJPLhcPiSrdvvdzQaDezfvx///d//jb1792J+fl4wFCwWC4LBINatW4d7770Xn/jEJ0Q7JtkNbJ2Wk1Qu4OQWt3cS8jzEtqsTJ05g7969OH78OEZHR5FKpcTiDIBYCPp8PgwODmLr1q3YvHkztm3bhkgkcuUH7H0MmrpMTEzgzJkzOHXqlGAvLiwsCJMoGaAgcEIAhmyYUCiErq4u9PX1YWBgQDAX29vbr0tX6DeL9/J+tn//fnzmM59BOp2GYRjo7e3F//3f/2H16tVv65jKYBLn3mKxiGw2K4wUkskk4vE4YrEYZmdnsX//fszPz7+BVczCm6qqSCaTS37fpYx1WkHDVkBO1gTkg+NL1s2laRDbQl0uF7xeL7xeryguybppcnvfmwGBl2KdvVshjyG2eRIEWeq1shQB74FsOWVbbalUEpIV8rklwEJDH5mNLBcO5DbqN9OYvB7i3djudzIelnpPK8tWZky2jkO5DVt+rcwWlPWiCbSxgCnLwxDklFvo5aKADO5qmibaxllkoz6xx+MRIL7T6UQgEICiKMJYiWONrtIWi0VoJuZyOaH1SCYq77UsHvNap94nWa2zs7NN0goyo5fbTkAcgGBIskPC4XCgs7MTHo8HirKogSkD6sFgULA2bTabyDf5XD6fRzqdbtIXZfG6q6sLhmFgfHy8qT1cVdWmz6lUKmJ+8ng8CAaDgonL816r1eByubDSZ8cNxXGEi/NAvQLNUFA3FNSgIG1YEVNdaEcNTqMKn6rDrmiAoqCm2mDSGzDVy9DNi23YddUKS7UAHUABZpgaVZi0OmzQoKsmzOtWKA4PfFYTfCYdqt0Jra0bcHhQNVmRr9ZhKaRgqpdR83XCYbPAmk9Ay6VRdgWRiYyg6g3D7nCgLRCAz+2EzekSGo2apqFRq6FeKaGuA/VKGabxY7AkZlAP9S62UxsGLPFJ1Nu7UOtZC9XmEGNaZnrLBlTLcW3Ea/eo6+6kLIOO11gsu1cvx9WIa8XtU45qtYpXX30V+/fvx969e3Hu3Dmk02nUajWYTCZ4PB4MDAzgxhtvxPbt27FmzRpEo9G3zc6h4HY2m8WZM2ewf/9+HDp0SLCnGo0GFEWB0+lET08PNm7ciB07dmDDhg3o7+9/2+xJAlgE6uLxOPL5PBYWFoQBTDKZFKwHMijosBcMBhGJRNDf34+BgQH09vait7cXXV1dV4XJyGSNACJb61KplGBczs/PC4MXuUWaLAouhBqNhtAf8ng88Pv9wslQNq2JRqPo6OgQ7MX3w6yDjMZCoSAWvfICgoyW/fv349FHH0U+n4eqqkilUpibm0M+nxeJcn9/v3A+NJlMiEQiuPnmm7F79+5rphCUSqXws5/9DI888ghOnDjR1MLkdrvR39+PO++8E/fffz/Wrl0LVVUFA0N2qGSQOcI2qStNMg3DQDabxW9/+1vk83kcPHgQJ06cwMzMjBh31HGilEA0GsXmzZuxfft2bN26FStWrLhuk91Go4FkMonR0VGcPHlSMDnn5+eRTCbFIrGVhUSJB7JzQqEQotEoBgcH0dfXh1WrVqG/v1+Aix+GeK/uZ1//+tfxne98R7CD77rrLjz00EOw2+0CMOICn6ZZ1OZNpVJIJpOCMc55lxq9cuslddvIIFoqyLSSARNKTCz12s7OTsEWdLlcoihE91mXyyWcZ71eL9rb2wV4SFBRBg1lfcL3AhR8t4NjaPXq1aJtFQAymQwqlYoogkxOTiIWi6FSqTSxSAlQyqYkrYY1S0Xr3/meS7Wkvxlo1vr7pV4jg2by98p6yPLruS1L3beX0slsfS+fawXNZRMR+TtbxzWANzCz+FlLHWf+n4xPeR8uFW/GYuV+t+5f67Em81EGYVo/d6lrppXFye1eCgxt1cIkCzIQCAhA0ul0IhgMoqurC21tbWJOJIBGIJGOzZlMBrOzs8jlcoJZabPZRCGQ5iw2mw2hUEgAc2Q+su2aeuTUf2UxTAbw2K5PqQiyEP1+P7xeb5MRUbVaFUU02TSJcxwZxplMRuhDyqY9LHAriiK6inK5nNAzZY5HcJ8MWb/fj46ODkEuqNVqqFerGFILGFaKCJs1ePQKrEYDiqGjZHZg3NYBUzGD9noSFhiwowEzFt14dbMVDZMdJqMBRdegmcyomx0wqQrQqKOiWlDXFZgaFVi1Guq6gVMVwO7rgFvREWrkoNisUINdMLdHoQc6oHb0olproDJ5BvbYOCyVPExaDSa7E4YvhEKgCxlbALquwVrKwgIdNrcX7u5B2LsGYc4uNGs3etthZOLQZ0fRcHjRsDhgFLNAIY1aWw8qXSPAmxT0ZNmL1p8fVHO+azmW3auXYzmWYzmWiHq9jpMnT+KFF17ASy+9hCNHjiCZTAo2QVdXF4aGhgTYsGHDBvj9/rcFvrFNs1AoYG5uDgcPHsRzzz2H06dPC1YjsKj5EolEMDIygp07d2L79u0YGhoSlda3+g62yszPz2N6ehqpVEokOefOncPU1JQQYpcXhhaLRbQXd3d3Y8WKFRgYGMDg4CB6enqEMPyVLOYqlQqy2SzS6bSoShcKBcG2nJqaEotiMi9kN2wuCmRzCY/HA6/XCwAYHh5uMq6hKzar79cCk1YWtLfZbE1uk3K1P5PJYGZmRoACbM0h+EPHVVbKCQp0dHQIoPbuu+8WYuXvdei6jhMnTuChhx7Cnj17MD09jUqlAmCR8dTZ2YkdO3bg/vvvxx133CGAC47fSqXStEiiNlir0+g7DS40Ll68iKeffhovvfQSDh06JNqvZDZjIBBAe3s71qxZg61bt+Kmm27C+vXrr0sgrdFoYGFhAWfPnsXJkydx9uxZjI+PY35+XrCLWx2jqdHm8Xjgdrvh8/nQ3d0tihFDQ0MYHBxENBq94jliOZYOtrrmcjncc889OHr0qDBY+uQnP4kbbrgBDz74oGCFky1OvTXKTcgstlZd29ag4ctSQSaOxWIRRhN0IiY4GAgEkEwm8Ytf/EKwH8kM2rFjB/7xH/9RAJCyduKHbfzMzMzgueeew0svvYTp6WlMTU1hampKgCLUUZZbkRnvhHV4KbDpUmxPuR1W1j4EICRHZKdteZtkiQX57ywsydtOoAtAEzDUCnjJQN6l9k9udW5lzPL3S2ksMk+Q3+9wOOD1epta6VlklkFMWc6F+04QWDZCWsrAyDAM4XpM1rHsvC0Do7JshXzNyEBxqVQSbdxycbbVmEY+D/zc1oLBpViu/F6ZjSyb6/H7CcoxbyOjkp8rSxYAEAUT6huyo8Bms4l8KB6Pw+12IxKJCEZhvV5HMpkU7crFYlEU2zOZjGAY8l7mcrlQq9VEkZ26sYlEAna7HR6PB/l8HgCE/BHBUIfDIcY9tR65PSzo8J46Pj6Oubk5hMNhMV96vV5RSAiHw02t33TzzuVyiMfjQuu4o6MDDp8HjnQJ2Uod83UbeqwqPCYDblVD0RGAua0bnbMZeOoaAB0Nca4ANGpowIKGxQIrgLrDC83uhVpIwdyowW3SoKlmVM1m1KFDVxW0WXRUGjVY9TJMqKFR1lCMz0HJZWHzzsGkmgBfGEGnHarJAGpF1E1mlBQLjEoFjuQUHO0GalBhFBPQahVomQUkMkmYx87CbVXhqORgUQDVbAXKeSgmG0zBTpgycdhKmUVNx54VQOcgtGCk6bqQf8os70vNDTI7UtbE/bDdd5bjzWOZ6XiNxTLTcTmuRlwLTEdqNr7yyis4cOAAnn32WVy8eFEIYYdCIaxduxYbN24UztBvBwQEIDRpcrkczp49i+eff15oNWYyGcHYc7lc6O3txebNm7Fz505s2rQJ3d3db3lMqLMlG8EsLCwgmUwiFovhwoULAnyU9RnZltrW1oZoNIq+vj709fVhaGhIaET6fL4rqgxWKhUkk0mkUimh95bJZDA/P4+pqSlMT08jHo+LNmkybOREmAshuT06EAg0sRc7OjqQTqdx6623IhgMvu8tm2QZlEolkXSm02kBJqbTaaRSKQG80iSBYBuBVp5XJsryoqVWq4njoqoq8vk8dF1fbL1ZuVKwHTdv3vye6gnW63U8/vjj+PGPf4wDBw4gnU4L7SK3241Vq1bh4x//OD796U+jv79fLKy52JLv82TSUTftamxbOp3GiRMn8Mwzz+DIkSM4f/68SPxrtZpo2/T7/ejp6cG2bduwfft2bN++HZ2dnW/9JddQ0G3z/PnzOHbsGE6dOoXx8XHRikaGs9w+R1CBjGFeYwMDA1i1ahWGhoYwMDBwxXPDBzUu935GYIbXe7FYFHN3PB4XDPVUKoWLFy9i3759TcATHbtl8KIVIGidC1tbMeW2ZYfDIRiRclitVqxevRpf+MIXBHuVchRkHhI8bAVCAOBb3/oWfvCDH2BmZka0dQaDQXz3u999g2v1tR6y+QrBJGrm8ScLZqdOncKzzz4rmPssqMnA05VGq36krFvJ+ZMt5R6Pp+l9MjvwUrqIMtAlP78UA1EG+WTJhdbP5d9bnyMjjS2/8uvYBt+qnSy34PKh67oYj/wOvr61XVhmIsqAJYEIFp3JyGMhigYrl2JTyc7fHC/8PDJRZR1Gjh9Zi5oO2pQ8kPUGZYBT3maCfvl8Hl1dXeLcU4KEwB4LmHJOwc9j8Y/3CJqzMDdh3iqbD/E8cFwRkJMlDOR5h+A1n+NradxDIz6yG/kZNKOp1WpCX5zmfm1tbQgGgzCbzcJYkK+l+SALtWQUsi2cupPsRCLzkNvJPIHdNjQcdLvdYmy53W7UarUmhma1WkUsFhO5rdlsRnt7u5iz5aKxy+Vqcs+uVqvweDyg2aPb7UbA78NNIQdWIIdypYpyow4/NLgtCkqOAOyGhrZSDE6tBhU6DOhQsCiqV9eAjMkGxWKDS6+j4PBDMVngqhdgMRowzDbohgJFr6PsDCKhW9BIzKDdqsCm12HW6yDP11BM0E1m5F3taLT3wOeww5GYgLmYgW53omGxo2ayArUqDJcPJl8bdHcQms0FLZ+GkU9B1zQYBmB4ArB4A/CU07AWkjD7Q4CvHVBUwOEFrFbA3wG0d72pe7WsbSr/lLs0LhWtZlFy2/ZyvPNYZjoux3Isx3K8FpqmIZlM4plnnsGBAwfw29/+FolEAgDg9/uxbt067NixA5s3b8b69evR3t7+lp9JIKVYLCIWi+H48eN49tlncfToUczNzaFYLIpkJhKJYHh4GDt37sS2bdswPDz8loAmExA+FhYWMDc3h1gshkQigfPnzwvdRiaNbGelSUdfXx96enqwYsUK0QYZDoevyICjVqshmUwimUwKkI2t0pOTk5idnRXt3Kwoy4sELjg8Ho9otSPLjOBHV1cXent70dnZKSrgtVoNR44caWrfeS9C1s2SddASiQTi8TgSiYRgHdGBVU7c5eqsvCABXm8xoz4QFxImk0no7SmKglAoBF3XsbCwgGKxKJgGXq8X1FJ6L0DHVCqFH//4x/jf//1fnDlzRrA0bDYbIpEIbrrpJjzwwAO46667hJZlNptFuVxualczmUxNjMYrDQLfL774Ip599lkcO3YMExMTomUYgBDJdzgc2LJlC2666SZ89KMfxfr166+6Gce7FbquI5/PY3x8HEePHsWpU6dw7tw5zM7OIpVKCU0t+Vpjm5rdbheu7P39/RgeHhYAY1dX1zJ78R0GAUUu2DOZjAAT5+fnhQEW50sWIeTiA+cImhXIYbPZmgoQrUwj/k4GotvtFnMqpSeobev3+zE5OYlvfOMbyOVygqEUDAbxwAMP4Fvf+tYVHYuvfOUrCIfDOH36NJ588klRCPvDP/xDfPnLX8bf/M3fXNHnv1UQbCIoyK6DYrGIfD4v7tc89ry3EmQgCENgiOcmnU6LAiKvsSXNES4jCL7JjDFep36/HzabTRTWZJC3ta1QNrShC7PT6XyD4zY15AhMUXaEjHL5c2RQUQYp5dbjViM1/i4DtTLARvdrsnEpMcNtYiu92+2GxWJ5A3jAeymLlTJTkdceTVL4fZwH5TZ0+X4ss70JWGSzWXFfymQyQuaDINmbmckQaJfdr/lZvMfIzFIZSDWbzeJYVatVkW9QEoHFZHm+oGYhcxDgdTCQbHWv1ytAMxYJ5HZ8HkMCtyxQ8NzTVIzbQP1t2e2c7EYCj+z0YGHL5XKJVmuOCR4jAoo0P6L8T6VSEczIRqOB+fl5xGIx0flCg0A6plMzUj4+dLfWNE20OVPWIRwOQ1VVzM3NNblgh8Nh1Ov1JvAxmUwim83C5/PB6XQinU6LArHZbBZFof7+fmHKQ8Y6yQZy4S+dTotrldchtd0DgcCiqd1CDONFHQGPgW67AqfJgFmrAXUdrnoedqiwogEdxmv/FJjB8wm40UCxpqOmAGqlCAt0ABqqqgWGYsCi6jAbGiwOJ9xWN+ardSh6FqZqFXgNvlRgwGrUoTfq0PMxVGollFULLHoZ5kYFqlaF6o/CbLHCVC2hXiujXMhD93bCZjLB7GuDuZyBrizOETmLA3piHko5A1duAfViAWpDg7mzF6ZAB9DZJzQg32ru5L1vqZBBSHn+aTXbav1MmRnJa3k5PtixDDpew3EttC0ux/UZcsL8fkQymcTRo0fx61//Gs899xzK5TIURUFPTw/uuOMO3HLLLdiwYQPa29vfcuFNDcVCoSCMYehCzEonW3V6enqwadMm7Nq1C+vXr8fAwMCbmsLoui4WQ5VKBfl8vkmr8cKFC7hw4QJisVhTgqUoitCUGRwcRH9/v2AzDgwMoK2t7R1X8piIx2IxYThAtuXY2JhoDybAwwqxvGiwWq3w+XxCkJwajN3d3ejr60Nvby8ikYhg1Sw1Tt7tMcREOZ/Pi/ZwunjyIYMGBBdbW6i4CON2EkQkW4ILGIfDIRJyTdNQqVTgcDjQ1taG3t5eZDIZnDp1ClNTU7BYLCgWiyJ5d7vdTUxVmdnybsTo6Cj+4z/+A4899phooSaLtq+vD3fffTc++9nPYtWqVaJ9LJfLNbW/8BiQSXKlUa1WsbCwgP3792Pfvn04fvw4ZmZmRMs+sDju2tvb0dXVhY0bN+IjH/kIPB4PPvaxj10XQGO5XEY8Hserr76Kw4cP4+zZs0LjjWwNLpq5kKXYfzAYRDQaRX9/P1atWiVARra6Lsdbh8xQpPlVMpnE9PQ0XnzxRfz6179GKpUSLEVKJ8j6mDKjSV7oy/cZmg3IwWuLYCLPKQs04XAYXV1dYj6l6zIlJmRmkWEYKBaLeOCBB7B//34BdrS1tYmF2MDAwBUfL6vVik9/+tN4+OGH4XK5MDMzgz179qBcLuPb3/42jh07hh/96EdLvpfHhvMpWdEs5lCagppu2WxW3CMJFspsLFlWhOexlfnGc8FCGud12WjlcoNAIud66lRS7y0QCAhQJ5FIoK+vD3a7XSyiZWbqUgYiMrOute2VLaU05+Limq2lrZ1KBMtkp+JLhWw0IzO0yB4naMvFPJn78vsIxAGAz+eDpmlN7blutxuVSkUA7fK9leeKx4TFFRlAkEFJ+dzJIC2LiCzQ8v9kEhuGAY/HI4qBMtOSusO8v7dewwQsCCi1OlLLRi58jQxU8hy2smxrtZoYm+yooavy5OQkvF6vyAPldm/miOl0WmyDfJ5l0JrjVmY1Aov37Wg0KvQWCagRwKdpCudI6iITLCRwx2KI1+sV2owc5y6XS7hPs0hAsI4gKeVpGo1Gk1zN/Py8kH3g+WR+QmftYrEIs9ks9CRjsZhoq3a73bDb7ULPnbl7KBRCtVoVRVMWhfL5vBgf5XIZZrMZxWJRtOYrigKfz4dyuSyAWLI1OZ55XFhI4r663W7BrqxVSlC1NKq1OsbqCvrsOsJmDWYYaECBCXWoAAwAzIiV1/6vw4SaagUMQDN0oFGCDQagvD6mFaMBTQGUfALurjY43W6YFQtMmRr0eg0qAEVvQDcUGDCgGjoclRwMxQQTGjAMHdDqUNOzMHvaoegaTI0q3FoZ1cw8Ku522LUKFLMVJosCRTfgURpQjTrM5QxqqgUVixtoqHBOXYSiqbD4OmB/m5r5bxYsDrSSE5ijL/VovfcAi3M5r2Oey+VYOq5XfGi5vfoaC7m9+uc//7mg7C/HclxuyEDMexn1eh0vvfQS/vVf/1U4CtvtdmzevBn33XcfbrnlFvT397/ltrF1g0wjakKOjo6K9g6z2Qyfz4eVK1dix44duPHGG7FmzRqEw+FLJvVy6ykTtEQiIQwexsbGBPhEhoxsQtPW1oahoSEMDQ1heHgYQ0ND6O/vf8etkUzaCDCSXRmPxwXImEgkBHOECTyTXSbeXCizTbqrqws9PT0YGBhAd3c3wuGwYDVczrZdjTFE4JjaaKlUSlTSyV7MZDJCj1JmLcqt4Vz8cdHAyjUr6rIOmmycEAgEhF4aHVhnZmaQzWbR3d2N7u5ulMtl7NmzBz//+c8xOTkpXBipo3b77bdj8+bN6Onpwdq1awUzQW5343NkwVxOGIaBI0eO4Ac/+AGefvppLCwsCEaAx+PB+vXr8elPfxq/93u/B5/PJ5hF5XK5ia1lt9tF69eVRr1ex8LCAvbt24d9+/bh2LFjmJmZEQshJol+vx8DAwO46aabsGPHDtx0001wu90A3r956K3CMAzkcjmMj48LkxuyGKnbJ8smcFHlcrkQCAQQiUQwMDCAlStXYu3atRgaGkI0Gl0GGN8keL1w7OZyOeHgPD09LeY6gopk+BDgatWYagUUOT9wYS87MtN12e/344UXXhDMe4fDgb//+7/Hvffei7a2NsFKk0GJyxm/lUoFf/u3f4uHH35YGJY4HA488MAD+Pa3v42+vj7x2t/5nd/Bf/7nf77j40nAolAo4Ac/+AFisRjK5TJ++9vfYmFhAYZhoL29HZ/73OcAQMxprZITHOfyfaW17ffNQj7+ZLCQ7TQ3N9fEuHurdjw5yFzzeDzCUIlO9ps2bWpqYZe1BVtbnPlzqbmI+00gr1QqNclzyK3era3CHGNkSspMx1Y5EgKxhUJBbCfzEILmPB/yWJcB9LdzPmQAjQA+76UsoPH4sCAlMzxbAQh+N683Mvzk872UTqT8e2vbeGvrL8FSGSRq1bGUC41y+zS3Uda0lBmqMotKZirLP1k8kvMK3r95DAm6yczder0uwEj5fsFxIbNcqa9M6Z7WsUQgkAAm979YLAoZH+4fr2GyRwnS8rhxLLJ9nvmR2WwWOYXdbhd5kqqqSCaTAoDmNlMvnGOT+SavI86phmEIgJTno1QqiWPIc8piuN/vh9vtFmxOzkEs4LDAR0Mvgudut1swGHnNe73eppZdmaFuMplQr9ffwJY2m83imLndLgz5HYhYdaxRS3DXcsjVNUQsGnzqIrBYfY2FaMciMZAjWQGgAWhARV0xo6FaUDVUKIYB1WhAhwKXCljQgKYDJZMdhtUOs6pCdXkXx1lmHqiWoUGBoWswdB0GgIqhwmE0UIWCmmKBC7VF0xrVhJrVBZPVCpPbB81kAaoVqCYzYHdAcwWg+9qhWxwwZxZgTs9BKedRCXSh7mlD2eyANTkFLdQLY8VGWJxukTe/V4VhmaHNuZcyBHJwHuXjWswj3+e47lpllkHHayyWQcfluJ7DMAwBOL700kvIZDLw+XzYvXs3PvOZz2DLli0IBoNv+v5SqSQqzNRrPHjwIC5evIhMJgPDMGC1WhEKhbB+/XrcdNNNuPHGG7Fy5cpLMtCYyHHxw9aSWCwmALBTp07h5MmTSKfTIhFiAtfe3o7+/n6MjIxgeHgYIyMj6Ovre0dAI7elUCgIwC0Wi2F+fh4XLlzAxMQEYrGYqPjKpi/A6ww2gmoUwu7p6UF/fz/6+/vR29uLYDAoGA3vVcjsRbaBLywsiAfbpOUWplYNLybjZErILWxMkmms4PP50N7ejmAwCJ/PJ34SgGxdCMrBSjoXXPV6HYlEAt/5znfw61//GsViEYZhwOl0CoOPoaEh0aLORJznkrpiXAwFg0HcdNNNuPXWWxEOhy9ZTTYMA/v378cPf/hD7Nu3D8lkUjBBgsEgduzYgc9+9rO44447RFsQjxuDbo6XYq1eTtTrdcRiMeEyf/jw4Sagke1vwWAQQ0ND2LVrF2699VZs2LDhmjaBYdvmyZMnceDAAZw8eVKYvRCMaZUkYGtZOBzGwMAARkZGsHr1aqxevRrd3d3L9+clQl6kU7Cf2nvUxmX7M5l0sqaZDCa0AhmtgCK19QgmyqzEjo4OYYTQ3t4Oj8eDcrmMO++8ExMTEwCAvr4+PPbYYxgcHLzi/a7X6/jpT3+Kf/iHfxDajSaTCdu2bcOPfvQjRKNRAMAXv/hF/OQnPxEGUB6PB//2b/+Ge++9FxaLRTCa2FZJZqfsiE0morxgr1QqmJqaQr1eh6qqSCQSAgRwOBzYuHHjktu9FGAoz71yKzK1JjkH8/ogcM/rSQYZl/o+WWeQbtuhUAjd3d3YsmULbr311ivSpOT9hMeFTEECD3Krt8yybG1dBl5np8mAVWtbL/MOficZiTLAS3ZaK8ONANOlgsdKbvMm4EKWqQwGkVEo30MJqhHs4+fJhg8E4GQAh+Cd3ALO+7a8bQzZ7IVzqcxylc+9DKa2sisZMmuTuQXHlDxXEITk+W0tVHI+kVutW8+lrMNKsEPulOAxJGuW9/18Pi8Y1/l8XmyPrIspa0PKupbUQOS+ykVkMsC4bzI4zbEgg7QcWzw29Xq9CZDn+AReN7BhcYUTkBQQAAAgAElEQVTAvt1uR6lUEjJFLpcLLpdL7GNrEZjfQwDS4XCI4yIbj5BVqeu6ADz9fj9CoZDQdZSBXLa+05yR+6JpmphzCD6azWZRCCTATbBVHrs0EQIgDPVMJhPajTJ6TVVs8qnot2lwmwFAgUXTYMIik7EKwASAkJyO19iOJggtxgZMaChmlBQrioYJWcWKAOrw6CW4oKFqcaJsdaBcN+BpFNEw26BZnQiiCmu1AMVYlFWsqRbUFRMahgFrvQwdCiowwQQdVr0Bk6KgarYh5wmj6OmEXy/DV04CioKa1QW4/UB0JUxuHxQYwPQ5qIUUGr4wyu4Q1EoBpnIO5UAUSX8PLNZFQFrWfHU4HO8bYUXOq1vnA5nRfDWMDz8Acd0dgGXQ8RqLZdBxOa7XIFPru9/9Ll588UXhgrd9+3b89V//NYaHh9+0LbVcLgsjhnPnzuG5557DgQMHMDY2JrS3qNe4detW3HLLLdi8eTP6+/svWaGr1WpNTJlKpSKYdul0GhcvXsTRo0cxMTEh2lM1TRMV2d7eXgwPD2P16tVYu3Yt+vr6hLvo5RwXLnQymYwwgYnFYhgfHxdakfF4XLQQc+HOpImV6mAwKBbU3d3dorWbTtjv5XxB8DSbzYqF8ezsrNBWY3t0LpcTi1C5RYvMCybzZBiw7UXWS+N+BwIBhEIhIVJOdoDMcrnU8SdrlqwEgnccH6VSCXNzc3j55Zdx/vz5Jh2gUCgktsfpdAq2geykSJ1PMh3IXti8eTM+/vGPo7u7Gx/96EfhcrkALCb+L7zwAr7//e/j+eefRyqVErpM4XAYt912G/7sz/4MW7ZsadLnktldrFBfKbuO5igHDhzAE088gSNHjmBiYqKJ0eh0OhEMBjEyMoJdu3Zh9+7dWLdu3TXbAtNoNDA3N4cjR47glVdewZkzZzA5OYl4PC4WOFzocgyS1drb2ysYjOvXr8eKFSve9Zb66yW4mCYTPZFICHfg8fFxxONxIQ3BAg710chmWApUlNkpcsukx+MRxYVwOIxwOIxoNCq0aHltsmV2KbYWsCj5sXXrViwsLEBVVezatQuPPfbYFQvaa5qGY8eO4c///M9x5swZwQLq7+/Hv/zLv+Dmm28WbZGcJ//4j/9YLICBRWArGo2+ochCvba3Cu6zpmmYnp7G3NycaNe0Wq3o6enBnXfeKRaUnMs4h1KLjgAumVkyCKMoCsrlMr7//e/jueeew5kzZ0SL9FLgIreLTG2/34/u7m4MDw/jnnvuwZYtWy5LF1fWjySwxDlX1oiUgTj5XtPKkpVD1hcje57SFATzyELj+CVQTk1ALpQv9R0MsrFkEJPHWgYzWTSTtftambenTp1qApsITMn71frznS7UZcAQgMhp5IIoCzZyyDItMnORP/ngWOF7yEwl6MbnWtmVrW3hMtApgxhyuz+3k/MQAUcCggQZ5dZsWbOTY4TnCoBgQqbTaXFv4b2T7aO8jhwOh2hNJoBJgBGAANLsdntTfiJLH/C9drsdmqaJzyNoSJCOgCqL1WRPcv5myz3HHwuHdLamlqPL5RLFcFVVxT7yOuQ54L1UNtJpNBqCaSl36NhsNgSDQYRCIbG9ZrNZ5OK6rov27GQyKQBSTdPE/ZhjSdd1OBwO0b7NMcNz1ToeTCYVnWoVG8wl9FlqCJk0uBXApC6Ci7LUoa7JrdSLPzUAVryG+piAOhTUYIYJQB0qCqodeV2BFRraUEEDJmhmG1yKBotWhaYDRcWChmqGU9XhxGsMcLMVmsUOTVGBWhV1w0DRMMOqVWFrVKHAQMNsxbS7C1lHECGtgFAphqqnHdXOlbAYdZgqRRiRFTANbYKvlgXi02gkZqDXqoBqQtUZQMHXAS0QEYAsC+wswtvtdvH/9yN4bcsMcDmYX1MS4EMa192OL4OO11jIoONPf/pTOJ3O93mLluN6DF3XMTY2hoGBgfesYpVMJvG9730Pjz/+OGZmZmAymbBq1Sp86Utfwu7du0W75VLbms1mkUgkcPHiRTz33HN44YUXMDk5KRJou92Onp4ebN++HbfffjvWrFmDSCSyJOAhOxTT7ZgOe7lcDrOzszh58iROnjwpFmfVahWKoggtqJUrV2JkZARr167FyMgIOjo6LuvmaxiGYFOyTTCRSGBmZgajo6MYHx8X2oxckMsLFbJJgsEgOjs7BZNxxYoVQpORLV3v1g1XHkNMTGSAkdqXc3NzSCQSwkm7UCiIBLRVa1JObMlcJGsxGAzC7/ejs7NTmDEEAgGxCGaCv9R4JhDCViQCgWyPl1vp2R7F5+TEWN4vsjlYwff5fGLhQ7BSXuzI7A7gdbH6oaEh3H777di0aRO2bt2KtrY2PPfcc3jooYdw8OBBpFIpNBoNOBwORCIR3HXXXfj85z+PkZERAdi0HsOrUY2mZtSxY8fwxBNPCICfIAIXR8FgEMPDw7jllltw2223Yf369W97zL2X81CtVsPk5CQOHTqEw4cP4/Tp08JYg2wJnhs6Cnu9XnR0dGBoaAgjIyNYv349RkZG0NXV9aF2V5QXaIVCAXNzc5iamsLk5CRmZmYwMzODeDwu2IqygRWv+dbcUmb7yK7OvPZlhmJvby/6+vqEhqrD4cDMzAyGhobeUQvY5OQkduzYIQwJ7r33Xjz88MOXNXdyfuZiPZ1OY2pqCg8++CBeeOGFJl3TG264AUNDQ+K4yMfEMAzE43GcPXv2DceHXQAEVdgC6fV60d3d3SQPQe3C9vZ28Zr/9//+H37zm98IFmUoFMI3v/lN/NEf/dFlH7OzZ8/iRz/6Efbu3YuJiQnRZrnUmoGsLafTiVAohIGBAWzduhWf+cxnsGbNmsv+boZhGILxmcvlkMlkmhjxjFZwkdc5wUSy/FKpFHp7ewWYR3a4bAQjg2SKogjmuaZpSCQSopWU55v3lLcKfjbzk9Z2Zhl8b21F5t9b25Z5L2PI7bb8LIJTBPbk72rdX+D1dudWVqT8sxXElJmEDFlfEkATm1QGZmWQUNZolrVz+dncRhmMZOFSZrXRzIQFALYa80GWKdnt/EweN967ZbYr565cLid0emUmIUFpfq+sHyjvN7+rVqsJcJlgM8FsGcCm9iXzDYJ8stwOjwPPqWz2QzYggVSCmQzK3jDPYBcNjXd4fbDwq6oqstksAIh9VhRFmOtwTPLa43VSKBRERwaPC1mjMuPZMAwB+JtMJrEP2WwWk5OTmJ+fF2xJ5kEssMjjm9c495/MTVVVkctlMazksUKtYNDeQKepATMW2YsNA7Apr4OMkNqpoQFFLP5fxWvgJF4HIRsmBdbXfK0bUFFTzNAMBSrqsMFY1G2EAvNr0KWumFFTzKhDgUlvACYLFIcbcLhhmCzQtQZMtTLMtRJQr0M3dDQUFRWYkTS70bA4EGzk4K6XUHX6UHP4YZitcDVKKAV7kOnbCLsviJC5AW96GkYmjnqthqrDh1rHIMruNpRemz94rGRDIo4nnpv3s71Z1j7lmAAg7jscsx+WeG1uu+5Ax2uTorAcAPAGZH85luPtRr1eRzweR3d393tWqbp48SLGxsZEC3RHRwe2b9+O4eHhSwKO1WoV8Xgc58+fx/79+/Hss8/i4sWLIhl0uVxCK27nzp3YvHkz2tvb33Dz03VdJDtM7MrlsnCYzWQymJycxMGDB3Hu3DmkUqkmbRhqH7J9+oYbbkBfX59gpb3doAtfLBZDOp1GMpnE5OQkzp49i7GxMeF8TWCOSbXMBolEIujo6EBfX58wpunr63vXQUY5Go0GFhYW8Morr2BqagqxWAwLCwsCbCCDkRVzueUGeF3knVXn/8/el0fHddX3f957s+8jzWik0WJtliwvsh07q52QNltLSM1SSsvWNEBpaUPhsJT0hB+lhHNa4BRatsBhLScEwqFkgxCHYBJM4sQmdrzJWqx932bRaDTbe+/3x+hzdWciZ3HsxKG65+hIGo3evOW+++79fD+LvEj2+/2orKxEVVUVwuEwIpEIgsGgqKrLBv/lTV4scDHKBansA0Q2I/sE9w9YWWjJIQfcX7JK5HPMBTylxbJUjP/Dn9kINtA3CygyIZ566ik88MADeOyxx8TE3eVyobGxETfddBNuueUW1NbWYnFxUUg0eT7Phe8O7Qt6enrw4IMP4sknn0R3dzcSiYSQQjGJvaOjA6973etw7bXXYvPmzWfV787nOJTP5zE6OoqDBw/iwIEDOHXqFEZGRgQIJt9fTOwMBoOIRqNCIr1t2za0trbC7/f/n6uWcxHM4sjExARGR0cxODgopNAEFmWrB5mtuJr8mWCiDCpWVlYKRks0GhWgYm1tLbxer1h4r2aDAEAUPM4maKS7uxtXXnmlCFK4+eab8ZWvfOU526ccfHZ2FuPj45ibmxMLaYZZsdiQzWYxMjKCgYGBEpZfRUWFANlGR0fFeeEYT+ZUNBoVBRwWdMhS2r17t1jglUsEHQ4HIpEIWlpacMkll6C2thYA8PnPfx5f+9rXMD8/L4CDrVu34hOf+ARuuOGGFzxHR44cwV133YWnnnoKQ0NDIuThTAAjWVB1dXW49NJLsWfPHrzuda97ydeGbbX0U4JK8/PzQrK5tLQkzgdBKVkCy+IUZaMygJfNZnHixAk0NDQIX0MeD/dhNQakLAXm+wCUsCkJ9L1YEgfZmHzWvNDYs1q/L/c85HdZYsq+yb/LvxN8K/eKLAfneB7kn/nM5H7Lz0wZsCVQx9f5u+wLyJ/5mTL7UAY+5XNBNh33h/tH5uni4mLJ/nKfZSk397sckOT4xvUX2Xlsk5OTz5G7y+xsXl9+l4E2p9MpAFP2Udlexm63ixRsyozlOSLnNCyo8rssc+Z1pC0Ci6uJREIwEGX2pqqqCAaDwi+RYVK6riMQCAgWZjqdxuTkJEKhECKRCBYXF0W6tcPhQFNTE3bs2IHp6WlMTEwIFjSBR5/PJ8J25MR0r9cr7rFkMglN08R4zHuZITlNTU0IBAKYmJgQgToulwtVVVWw2+0iEIe+3xzDeI+yz7V4begwFUSMPBzQYUERQDQAmEoRQLSgCC4aevEHRQUMrSizVgBYl7sE2Y8KAJtuwgSQ04qQpdPMAlChwICJYkCMYgL6shmkaVFgM3VYFBWmoqBgGhjLW7Bo98DpDaJqaRZmQYeiZGHRdMDqRs7mRkE3UJVZgJ5ZhMXUoRk6bIsxaOkkrJoKiwKo6QSMxTiyoXWYVxUsaUDQLPY7u2Yil5mHZrXC6g9B13UsLi6K4jdtfMgUpR0S56CvBvuR9w/ZukySp00Sw4U8Hs8Fq745ly2fz1/QdkZnan/4V2atrbW19oo02fTfMAwBOvp8vue8l2yBnp4ePPHEE/j1r3+NU6dOlfjorV+/HldccYUwjWeVVW4EGym/BoqMp9nZWcGe7OrqwrFjxzA4OCgWz6ze1dfXY8uWLWhtbcXmzZvR0dHxohK15VYoFBCPx0UQTSwWw9DQEE6cOIGhoSEBNMo+JYpS9HXy+XwlC/Hm5ma0traiubkZoVAITqfzvIMhXOzSW3J8fBxjY2MYHh7GqVOnBLOPk9vypFEupik99ng8z5FFV1dXIxwOo6qqSqQ/06z9+cBFskjIFuXkh2Ci7G0mJ0DKjAzKZ7m44CKVEjqGrtjtdkxNTWHdunU4dOgQZmZmhHQLWJH3sTIve2vJbBKCMVxUsp8/+eSTGBgYQCwWEwuK2tpavP3tb8d73/teBAIBcaxsso/ay+kHBJF/+ctf4le/+hWOHj2K2dlZAXbQI5WMxuuvvx6dnZ0XVOVY13XMzMwIkPH48eMCIOGEmYsKJkqHQiE0NTWho6MDnZ2d2Lp1q2A6/V9pXECzb42MjIgC0cTEBMbGxgSwKDPzZGZSuQSaCagsKNBLkT6KDQ0NIsAqEAgIC4ByIOh8t7179+Jtb3ubYC2/6U1vwmWXXYYvfOELmJ+fFwtjgolyceJMAFI+n8fJkyexsLAgXvP5fLjmmmtQW1sLj8eDiooKVFZWorKyEuFwWHjNkrXN++r222/HPffcg2QyKcDM3/zmN9izZw9uvvlmAEBvby+Gh4dF2FY8HsexY8dw7733YnJyEgcPHhQgi9PpRFtbG/7+7/8eN9xwAxoaGp6z/319ffj+97+Pffv2YXh4GPF4/IwAI5lR0WgUzc3NeMMb3oD3vOc9L+ualLelpSXEYrEz/p3gAdNyGcLBe55N7lOr9a9cLof+/n4sLCy8oB2FDFIBKyxX2fOx3LOQ9wufF/Lv8t9lsE9mwZWz/sr/LsvFFUUR25X/X2bT8hjY+H98r1x4A0r7+5nA5vIv+VzL32ULEH4nSCczKWVgUvbO5NxAHi9kW4bVmJjsK0DRJ5VzCyYXE5grD83hdgkie71ecY5YUJUl3ARfuG983pQfI68V/4feiATtCaoTQGW/ps2Hz+cT7EfOX5xOJ6LRKLLZLNLptCiGsOBKUJKBMIZhCCa5YRhIJpMClFWUYqgQGZAEagi6KoqC+fl5AfaYZtHfnNY5oVAIlZWVIogxFothbGwMDQ0N2LJliyi+c95GJjz9GHkt5ufnhUyW+6IoithPWss4nU6EQiGxrw6HQ3jdxuNxUbAnQ9U0TaFSYTE6mUzC5XTAbTPht+Vht9iQLmSXuYnLYCJKNasKANMsgo+GBuhQocKAKTEg1WX5tQKgAEDXTRQAODRAgQEDgAETGgBVAUx92RfSzBdfM1WYFitMzQq3VUPOyGE6tQTPUhIWTcOSOwQtt4SszQOHYsDicsCm6ND1AlKKHdlsGp58CnYzB1Mvgpq2fA4Veh5LyWmYqgqrZsF8RS0QbkCl3Q7HYhwOfwVyFRVIZzKiz1IZxgIZE8atVqtY351LD/GzaYqiiM9nkBMZwOl0WigE1kL9Lry2BjqutbW21s5JW79+vXhIscLb0tLynPcxEffpp5/Gww8/jCeeeAJzc3MwDAMOhwOtra248sorcdFFF+Giiy5CdXX1c8AP0zRFdUtmIDCgYHJyEocPH8axY8cwOTkpJluapqGqqgqtra3YtGkTOjs70dHRgcbGRsFIezEtn88jkUiIUAT6Q3Z3d+P06dOYnZ0tYV6y8uzxeES6dDQaRVNTk5B2koFxvoGefD6PWCwmGD2jo6MYHR0V7J54PC4msclkUsh7AIjKJydznBwHg0GxwI5Go4LFSC8gsgDKF4Oc2HNiyQCaWCwmQBBeZzIr5WRrTipkNgCwAoSyMkvPN1nKREkGPSRdLpcAZtxut7i2IyMjwttQXszR146fS5aDbPjOsKCTJ08CWGEJhcNh7Nq1C7feeiu2bdsm/Ca579zvl1Ox5T3y7LPP4r777sMTTzyBoaEh4eNktVqFf+Hu3bvxJ3/yJ7jkkksuGECOfk5dXV147LHHcPToUXFvlTOFOclk4MvGjRuxfft2dHZ2or6+/oICT89XozSP4S0DAwMCsJqYmBC+WIlEQoR8yCAbUBomwoU/rQUCgQAikYiweiCoWFdXVwKmnclb9Vw3WlikUinBrmFQzczMDI4cOYJHHnlEACAtLS0YGRnBN77xjVW3RxCCY4RcQGFxaHJyEl//+tdFMqvf78dtt92GD33oQ2e1+Lrjjjtwxx134Pbbb8e3vvUtAMVF/3333Yff/va3+OAHP4jbbrsNADA/P4/Dhw+jp6cHTz31FO6//34kEglxfE6nE52dndi9ezccDgcSiQTuvPNOHDhwAF1dXSKV/fkARq/Xi1AohI0bN+Ltb3873vSmN73kY3qpTS4OrdYcDgdSqRQAiCJcIpEQxR6Cf7LsupwxySCX4eFhMdcgiMQimhxmJqd4y4nbMjhYznzk31eT65aDg+VtNTuC1ZrMzpTBNhkIXE2OLQfBlL+vPChGllqX+0iygMfCcDnoIMuTKeGVvRZlsJXPGX4urwELyDL4ys8lG1oGJFfzgiWDkCCg1+stmbtQtsvrz32X7VNkGSf3gd6QlZWVYvzkc1beZwCCTcjXGADj9/uxuLgo9pnjNpnNnOuMjY3BbrcjEAgIINPtdgt1TigUgs/nE6CLHCzF13hOCVAHg8EShY+cFM7nqMPhEF7dslcjrzPnUfQop4KA4GxPTw/cbjfq6+uxfv16ESJIj2zey0BxrLPZbKIgHwwGS8L/VFVFNpsVQHQqlRIBVmRbj4yMiCC/eDwubHoIlKZSKTFXzefzyCwkkU4moQcMaBbAa1VhmCaKmdHLATFSI5hooAgWqpoBE6oAKg0A0Ir/pyzTHjUmXesQYTMGICTcpgZAB5RlsNLQDOiFAkxY4HcB8Hpg5nSYJqAUstBNE3Y9C2QNGLqOpXwBpmqD1e5CvmYDLFMDUOaHgUIOhqYiDw2GUYCZSUPTDdiWU2pisEFRrBjLVqAiG4MnWA2bqsAWCMDn84nnmtvtFsUgud9xzCgUCiI46Vz5ip9tk/ss1y38otLi/8L877XS1jwdL7Amezr+4Ac/gN/vf5X3aK29Fls2m8Xhw4exffv2VwxEyOVy+MY3voH//M//xPz8PNrb2/HDH/4QbrcbNTU1ACAmU48//jj27t2LZ599VtD4GxsbsWvXLlx++eXYtm3bqmABGQ400gaKUlaGw4yMjAg/NwJ/9MWJRCJCOt3Z2YnNmzcjFAq9JGAnlUphbGxMTKL6+/vR1dWF/v5+zM/Pi4ouPSL5AK+oqBDhB83Nzdi0aRNaWlpQU1PzksDOl9oop2VqNAMfRkdHxTHQ+JwTalk2mcvlUFlZKdJKvV6v8F8jq6mmpgahUKhEHl1+TmWJC72G6HcZi8UE0BmPx0XIC/2KyApcjUHBircMIBIAoQxEDkygdIRVUVbhGfKQSCSQSCSEfx1BHII0smRLZloQqKHBOivw5c9Xm82GzZs3Y8+ePdi9ezcaGhqEby8XRy+3P5DV+Itf/AIPP/wwjh07JnzJyFqIRqPYuXMnrr/+elxzzTUIBAIv6zPP1F7qOJROp3H69GmRWN/d3Y3JyUlxX3HBSn+mqqoqNDY2YsuWLdi+fTu2bNmCurq6P+hJJhe79KcdGhpCd3c3hoaGSsDFcvae3HeBlfAEeqzy3iYzuaGhAW1tbcJbkfdVuf3A+WpkZ5I5/uSTT8LpdGJubk4UR+SQGhnkGR8fR39/v9hWe3s7otGoYGaSnRkMBgULu7q6WoxtlP9xoZ3P5/Ff//Vf+OxnP7scQqBh165duO+++87p87WzsxNDQ0MC+AKApqYm7N27Fw0NDbj//vvxb//2b+jt7RWFEKvVisrKyhIg5UxpwMAK64wMxs2bN+Omm27CX/7lX56z42CTWYFyyi6/WEAiwMMCEws38s9ks8gp1Py9PMFY9vyTWYDpdFow3WR7DRnckl8rBxTLz+dqYKl8f/H/5NfLvwN4zvOtnKlfzuyjrJfvXY05yCYDcjIAyb9xG2T7r6Y+IJtP9jkk0MD/42fYbDbhx+zxeATAy2cuzztZSnIgDa+dHE7C8Uu+3vyZcyz2NV53zl8IVHIOQGCdYCnBPF4PwzBEMAVVEQQ6CbJ1dXUJz19ZkUGGmOzhStYr+yzPK0Eznm/aAvCa0PaCfZKBKwQyed34/7KHIz9LURQhraYlDVOg8/k8kslkSX/n/IUSbPn5wfuW55ogJMHjQCCAQCBQAhZyPlNTUwwrmZubE/7ftECRrxMtmJxOpwgKJNuR3uy06KGnI4N7GGK4uLgo5p9UsZDNabFYEAgEYLVoaNITaMuMIWopwG9RYIEJG4FAFCXTJkyoUASbkb6NWQCmqsKiqLCgAKWYEY28YcKqFkFFQ18BL1UANEpTloNqTBQ3pmqAaRR9JIuekBZkFTuW3EEUAtVw5BagpZNQTAM2swBNzwNQkLC4EFddsFtULLmKYTKBxDjUQgYFxQpDVWHqBjQzj7jFC62Qg6YpMJxexO1BLFqcqLApMCKNsG+8DNXLIWZsZM0SvKM1CefZHAdkCzj6crpcrldMybBao9ya6gZFUcT8/9Xcr3Pdstks7Hb7a+6A1piOF3B7NU1b19pru5Wbg78SzWKx4KqrrsJPfvITzM3NYWRkBL/61a+wZ88eAYSMjIzg8ccfx6OPPoqTJ0+iUCjA7/fj4osvxrXXXotdu3ahsbFxVdBKBht1XcfCwgLi8bgw9D9w4AB6e3sxPz8vpCr0mtm4cSMuuugibNu2DS0tLfD5fC/6AcR9Hx0dxfT0NEZGRtDV1YW+vj5MT08LrylWvS0Wi/Avq66uRn19PTZs2ICOjg60traisrLyvFUFKTefnp7G9PR0SfDD5OQkYrFYCTAqy7Xon0OA0e12I5/PY+PGjairqxMAYzgcFmEG8gRY3gc52ZOLRgKMMrjHfSGgxH0hq0KWMhNAlJmJ9IykDxL3i4sEApkjIyMCmJZDCbhQkOXZBBflUAIuTrgQ5MSWjDCyKq1WK06fPo2BgYHnLEYrKyvR3NyMK664Ao2NjcKsm96XZGcwxTyXy8HhcKCuru4F72PeH8ePH8dPf/pT7N+/X6RPk9VQXV2Njo4OXHPNNXjDG96A5ubmc97/ytsLjUO6rmNubg4HDx7E7373Oxw9ehQDAwOCZcFAG6vVKrwBKZfesWMHtm3bhnXr1v1BgoxcrKdSKUxNTeH06dPo6elBf3+/KHzMz88/Z3Eo9zsZWCR7j0xrWQbd2tqKaDQqQltWu6/PZeOCZWFhAVNTU8LSYWxsTBRIyHLmcSUSiRIvPvkYVVUVYwKl40BxIfSRj3wEb3nLW1BdXS0KIy/l2JaWlvC2t70Nv/71r4WE+ZOf/CQ+9KEPndNzAgBHjx7FV77yFdxxxx0CMBgYGMC6detWfT/HDtM0BVNavv4EqMhg7OjowDve8Q7s2bPnefeDYAfHcFlmynFSBgbJQidbnUUjjmMsIBEQkYEjmVkog5TyfpQz33icZ5IE89khP+NN0xRjKrAC7MkAnyyRlcE8vlbOEJQBxtUYhQPlyDMAACAASURBVGT/ygFoMjgIQMhp2bfl55/sN8g0a/5OLzy5mOB0OksAXllyzcKC3DcMwxDP39XSqPk8JJibyWQEsMRCHEN0COSZpom5uTmYpona2lph38JrQOYUA8tk2Tn7CaXFBBJlFqrMUCXoQX9Aufggg830ZTaMYiCJnEZNFh0lo7IiggxFsiH5HOLzu5wJy+vK+4DSXwbaMYyJ8w+ZnUngkb97PB5xT+i6jrGxsRIgjeCgLOfnMVJ+r2ka/H4/MpmMAOsIkAYCAVGw4b5brVYhgybIzPuenyezPtnPp6enMTk5KYqmclBMPB5HNBoVShiCj/QGX1hYEOFcLpdLALaGYQjP72QyiUQiIby7qVyxWCzChqiqqgpjY2OYnp4WCiOGNvGaplIpeD1uBL0qrG43fGYKqqHDMIECPRpVQDUAbRlMLLo0KlBR9HO0AMgWDGRUEw5NhalYYJoG0qoVKkw4kYNFW2Yz60WAUUPxe94EMsuApA3LrEe1GC6jwYShF5CEFcmcicL8HELIIGBkoJiAaRhFKqVmgeILA1YPcvOTCM6chk3PAGYWimnCpuowC4CpWWBaLLDa7cirKvKKClt2Ca6CDtMTwkTGidRcCrb+fszH44hEIgiHw1BVVbAHeX87nU7Rp8lupE2SrusC0OY14tz81ZiXEVx2u92C2U+Q2+/3XzBKnpfbXqv40BrT8QJrMtPxnnvuKUkZW2tr7aU0+va8kk3Xdfz7v/87vvzlLyOdTqOpqQnf+MY3UFNTg76+Pvz2t7/Fvn370NPTA0VREA6HceONN+LP/uzPVmVDkamXSqXERCQejwvgamRkBIcOHcKpU6eEsTQA4ddIsHHHjh0vKRjGNE2xfS6Iu7u70d3djYmJiRIPLi4OvF4vwuEwampqBJtx8+bNaGxsPG8Uf07oZ2ZmMDY2JsINGAJBgK18ki57J3m9XiGfrKioQCQSQV1dnQAYyXSUjdJ5jmRZmsxmIBOJHpf03ZNZAHKwC7DCwJFl0bL82el0wuFwIBgMCvkMJ9HJZFJIxjmZlSf8ZMxwASF7OMleUbLEiotFAp5ySAH3jwwKv9+PeDyOvXv34tSpU4jH4+I82Ww2bNmyBe3t7VBVFdu2bRPAmaIowsR7YWFB9CtKVxYXF1FTU4N3vetdghEpt0KhgOnpaTzyyCN46KGHcPjwYcFqpGdTbW0trrrqKtx4443YvXv3ywqiOZtWPg5ls1n09/fjsccew1NPPYXu7m5MTU2Jfspr4HK54Pf7UVtbi02bNmHnzp3YuXMnmpub/+C8esgsIauvq6sLvb29whN2dnb2OWmlMthAUITgosfjQSgUQnV1NaLRKBobG9HW1oampiaEw+HneCye68axgRYUBBQZREVWONlMZ5KXymwlmsQHg0FUVFSgpqYG0WhUMK4DgQD+53/+B7fffjvy+Tw8Hg/uuusuXHfddWd9HN3d3XjTm96EwcFBAEAoFMLdd9+NXbt2nfU2X0w7efIk3vnOd+Lw4cOr/l1VVYTDYQArvq/0kKypqcGmTZuwadMmXHHFFYI1RUYWfbm4iORCkeMNn7eyTE1mnhFs4rjPaycDJDJzcDVwUAYDVyv+yQUemcUnS2n5xT4sF4J4P5C1RxCdzKxyWa7MHpQ9B2WWoPw+3jsEJFezFiiXjRP8lz3neN58Ph8Mw4DL5RJsPZ5rArM2m00AwNwnFuvYHwzDECF8sv3A3NyckPJOTEyIID0ClPF4vOQ6cgyWff5koElOIOa9zme3DNQynITXnOMTzxHZl9wOE515PuVQGoKqPM+0H+HcitJ7+iASiGRwCgHTcgk9QU+CdrJygc9+Kih4feS+z3uQc1e573M7LCjGYjEBuPG+K/cGZXI2j5HMRF4Tt9uNQCCAYDAoQGbeM/xMwzCwsLAgQGNeF3o5si9w7GdyNQG6YDAo+hKVBux3LOoqiiKKutwmi4QEHCmbt1qtqKqqQl1dnShoLy0ticCZ6elpYRUh38Nkozc0NCAYDCKVSmF8fFykyJNZZ7VaS8atVColPKsBiLlji9+OaoeKWmsBO3xAlabDphQBwOVsF2RMwKIA1JssmyhAhQYDQA5AYZmdmAFg1xQ4NAV5qxsxixfuwhLc+QUoKBT9GlGUURso+j2moMEGHe7lz8ypQEFRYV3mVk7DhvGChoDFgqBmwG1kAUWFoqooQAEUBQt2H3RXAN7cAlyLc1Dy2WJIDRRoCqCYBhRVQ0GzouAOYMkfRTqzBGQWkbG4MO+NIGlxIWn1IlNkzCESiaCqqgo1NTXw+/0l8wKuM1KplCgwyQzciooKMYeR76NXE3xkS6fTSCaTYr4UDodf8TnweWyvOabjGuh4gbU10HGtvdbbwMAAPvShD2Hfvn0wTRPt7e341Kc+hZMnT+LnP/85ent7oaoqGhoa8M53vhM33ngjGhsbS7ZhmsV0soWFBTEJpnH22NgYhoaGcOzYMXR1dYnAD1b/Cfh1dnZix44dLyk4wjRNTE1NYXh4GP39/RgcHMSJEycwODiIWCwmKsOyBw59DFtaWrB582Zs2bIFzc3NwkfoXDcmfo+OjmJgYAADAwOiwkuZMiebBNYoRyGQx4lCKBRCXV0damtrEY1GReABZTurMUXkr0KhIFJeCY7QM44LJtkTicwNLu7ILKD0mR5q9OthNZXePgsLC0JeSfCCACOr4Ky6rgYsyvtQnjwpS8UIMsr7xIk+96uiogJerxe5XA7f/e53ce+992J0dFSwNTlxJrtq3bp1wi8tFArB4XAI9i49IMkm4SSPk7gdO3bgfe97H6qrq0Uf6O3txU9/+lPs27cPfX19JV6NlZWV2LRpE2688Ua88Y1vRCgUOuf98KW0VCqFQ4cOYd++fTh8+DD6+/tFkYALFYJlVVVVwpPx0ksvxcaNG0sYOq/lxgUr06L7+vrE+DI2Nobx8XHRjwk8yHYHvG/oteh2uwWjuq6uDuvXr0d7e7tIu+fC/HxIojkmz83NCTnzyMgIJicnhe8mGcTPJ/Vl8YMM61AoJMbUaDQq7Bs4LpypffWrX8Vtt92GQqEAr9eLRx55BJ2dnWd1bIZh4MEHH8R73/tepFIpKIqCzs5O/OY3vznvTInZ2Vm8853vxMGDB0tCpdh27tyJK664Ahs3bhR+x/F4XDDHyRLmFxmT/E4QUmaZ8btcgJHZhsDqQS3lDMFydiD7K/usPNbyi8UcJpMywED2FZXZ7twe3yMn8XLb8r3C12VQUWYvljOxy595snR7tT7M54vs1ehyuQQTlPJxjvPpdBoTExNClZBMJgUgRICOzByOAbLvYTkrlNdI9mgtBxBliTfZagQC5O3I15PnSP4bz5UsSeY5AFZYnHyvvC/P13fYeKwv1Mr/dzXJ+vO9V/Z+Xk1qzvFW7huy8oLAKG0++JoM1nL+QNDb4XCIgBv2D9nDkWw/zn3J8pYBcKpIgJViQ0VFBYLBoPhMgq1kYnIcIOjKvmO32wVYTFsY9oelpSUxB6IMnmOMDCITxOeYQ3Y0710ZgOL2KysrRdGY7F7OFwk+ZjIZAR6rqip8GsnGI3g+OzsrxinOEwmKUQ0Vi8VQKBTQ6LZgU4UTm/waGp0KwhYTNhXQJNDRRFEKrUJKr8aKVDpvGsiYxXRoiwLoBpA2AKsGZKEhb/fCpZlw5RahoSC8HBUAigHkTMDQivCl1Sy+ZgDQoUDRii6ReViWwU8FVsOESzNhQoNusQGKAqueRUG1IK/ZoAJw5NOwGXmYyy6TWVhgKgoMzQoFJhTNioLDA6vDjZzNjpjmxSys0F1BJBx+LGVzYt7pcDhQX1+P2tpaVFVVwe12P2cNQ2ukubm5kvAjEhR43mUG7asNPpKskslkhB/qH4jU+jV3EGug4wXW1kDHtfaH0A4ePIh//Md/xNGjR2GaJkKhECoqKoTPXWtrK2699Vbs3r0bVVVVJf/LihonLPSrGR4exrFjx3D06FF0dXVhcnJSPPR8Ph9aWlqEX+POnTtfUoBEoVAQbMa+vj709vZiYGAAo6OjJZ5+BEfoadjc3Cyknm1tbfD5fOccaCSwNzExgaGhIQwODgr/tvn5eSSTyZJwFaDU65AsRrJgOKmoqalBMBh8Xpl0OcjIRS2DG6anpwWLkGCsHDrD75QLEShxuVxikckwGobOUFJK5uL09DRmZ2eFNFpeVMtG6PICSzbYlxednEiTTcn9YfW9oqICPp9PeBQRMOR7ZS+tXC6HBx98EF/84hdx6tQpYQbv9XqL3kFWq1g8KooiKv3slzIAS+N2so3ISAAg9rWlpQXvec97sLi4iB//+Md48sknMT4+Libz9Gi76qqr8Ja3vAWXXXbZqzrJm5mZwf79+7Fv3z4cO3YMo6OjYjJKyTr9mxobG7F161ZcfPHFuOSSSxCNRl/zk0Iyg+LxOMbHx3Hq1CkcP34cg4ODmJiYEOzOcmm0zFzkYpXgYiQSQWNjI5qbm9He3o7m5mbBeDlfkmh65g4PD2NgYACDg4MirIVjjxzGIDd5Ac4FcmVlJaqrq1FbW4v6+npEIpGSwKmzaV/60pfwqU99SjAc77//flx22WVnta1CoYDbbrsN3/zmN4VE8d3vfje++tWvntX22Dg2yh6GZBymUin8+te/xp133onx8fESAItgk9wcDgcaGhoEiCADY3KRpxzsJaNMlgXLkl65ECODeyxakYFGeSMl7RxHOb6Wj/G0xpDlo/Jnle9HufS5XAJ9LscGGWyVw05klqFsvcFCUTKZFMU23svZbBZzc3Pif6kuoGRVLiDIz6jVQE9+Z8FABnP5dxnkY1FQZuCx38nb4/tYeANQwnorf3ayiCbvDxuBNpnZJ8vO5Vbe78jIK7+e5deb/ydLmM8EjMt9fbXAnjO11fqWzFJd7Rjk13hM5SDlavef/D/sawTjA4FACYtW7i+FQkGMpeyrvJ94rQjY+/1+8bvX6xV9iKGAFotFMGIJQvt8PgF4cpySxwCGx4yPjyMejwv2LedclNfyGAuFgmCfyoF7VNvIBQa3211ybpnITVCU/+Pz+Z7jFzo+Pi7GR3pSkrDA+25pcQGXO5aw06fApSmodGiosBXBQ9l7EVgBHxkgIzcDOorZMFpRGo1lybRhIKWrUFXAZlHg1QDL8lYMKNBhQEOR6ZjVVWQVBV7VWPa3M6HrK5+la8Wf8roCm2YCepHDmNdsyFgc8CgFaKaBJdWOnKEgoKegmsW+bigadNPEkmLFmOlEQMlBUxQoFissignV5oDm9sPQNGQUCxIWL9LhRsQ0F5KJODKLKaSzebg8HjHP4LO5vN8zTGZqakoozGw2GyKRCCorK0Vx9UIBHw3DwPT0tOjr9BB9jbfX3CR5DXS8wJoMOv7oRz9aVVK31tbaCzXDMDAwMICmpqZXzfvh0KFDeMc73oGBgQExafB4PNixYwduvvlmvOENbyhhYHGiIE8g3G434vE4Dh8+jP379+PYsWMYHx8XDEiv14v169dj27Zt2Lp1Ky666CLU19e/qEUJJ1gjIyPCL+3kyZPo6+vD1NSUYBroug5N00SltbGxEevXr8f27duxefNmRCKRc/oQNc1i4t7k5KSQSw8NDWFkZERIh2UWIYCSCSZBxlAohGg0ioaGBjQ0NKCqqgqBQEBUw8vPEavo9NyKx+M4deoUvF4vpqamhCckk4NlLyZ54cgFJveHk0tW+um9aLfbkclkkEgkMD8/LxhSclCE7JdZLuOjrEz2DyJIwy8ueimDpoScgGJlZaWQ6JSDHvSYIkOIPpjpdBpjY2P4zne+g4MHDyKZTArWa3V1NXw+H+bn58U+Ly4uwmKxoKGhAdXV1aiqqhJhBmQ00GdJBtwJpgcCAcFkYVI65VD01tmwYQNe//rX481vfjNqa2vPWV98Ka1QKGBgYAD79u3D/v37cerUKUxMTAhrBACCzRgOh7Fp0ybs2LEDu3fvRnt7+2v6WUeAMRaLYWxsDCdOnEBXV5dgMMoSNdl3jAtsMrQIzNXU1KCurg4tLS3YsGED2traEIlEBHPxXI/pmUwGsVgM4+PjJexpMpfJHFltIS9LEOVxJxqNor6+HjU1NYIVfLZg0fM9z+655x68733vQz6fh9vtxsMPP4yLLrrorD4nkUjgpptuwjPPPAPDMODxePDFL34R73jHO864XwQRySrkPT0/Py/GMtnDVvaRXVpaQk9PDyYnJ5+zbbKk7Xa78IGTwSS2SCTyHLkwJem8NpRqyuwl2lYwWEO2sWBoGBeJbrdbFGtkoLAcrLmQCwXsQ42NjYKFyPO5sLCAvr4+jI+Pi0La9PS0uFaJRKLEPkQGgWUWPcGXMwFX5Sw7WRbOZw+fY2QA8ztltwRiuG2r1SoSfvk6nw+apglmGuXUTqdTMCZlEEwuGPJaloPXZ2J68n/k56fM/JPHDW5Pfl32uZRDaTh34LOZv8v2MLIUn+Cb7JWYyWRgsVhEYKEMoi4uLgqAmc97grKKoojiAL/TzoSFQp5DmRErA6DlIKSciC73D7k/EbRnvyDIyr4lqzVYdJdZmqqqCqCHADGBQ55rFhFkP2qg+HyurKwUoVtkz1osFgEQk83W19cnZOI87xaLRTA3eY5sNpuYw1DZYJqm+HwCqnwG0jeXLF8mfZPBCRQBS3kex1A17iPl/8lkEslkEvVaDjvtKVzkNGBTdKjLTEWrokFdZchSVVBXXbx2KEV3TOjLvxfPuw4gYwA6DOQMFU4VcC6bQBYzrlWo0AEoSMOCJShAPgefBbAqKIKKMIvp2AA0DcvvBlSzyKichBUFzQ4vDLgVHXm7B3azAGtuETANqApgQIOpKFi0uBFT7bDrOczCgaW8gbCahV01kVM02G12OBUTeZcfM74oDLsLLpcb6WQcc4kFzBsWzJg2uD0etLW1obGxEcFgcFUSlK7riMVimJ6eFgVwp9MppPRUKJWDj+dLCfZ8jYncilK09nopIaIXWlseQy/cB+4Z2hroeIG1tfTqtXYu2quRXl3ecrkcvvSlL+Hzn/88ZmdnxeubN2/Gt7/9bVxyySUAVuj6BCbpBaRpGgYHB/HQQw/h8ccfx+DgIBKJhEgYbGxsxEUXXYSLL74Y27dvf1GBGwAEk250dBSDg4Po7u7G73//ewwMDAjJACeOTqcToVAIjY2NaGlpwdatW9HZ2YnGxsZzmjpdKBQQj8cxNjYmghAGBweFfw1ZfVxAsOLtdruF1LeqqkqAjPX19SI4YTWpNBtlFZQpJxIJ4Ys4NzeHnp4eeL3eEg8qeUHFyQOBPRqw83eZwcQk2lgshsnJSSEH56Kcno+rycNkn0XZ443gouyvyMARSsiDwWDJIlpeGLHST3ZheXIqwUbZB+3QoUPYv38/EomEYB8Eg0E0NTWJc0nGFQFF0zTR0dGBSCQi+rbsq7awsCAYD/SpJJuACydKVXk+fD4fOjs78Td/8zd485vf/KL9Ss9ly+Vy6O3txSOPPIInnngCPT09or/KxYNwOIzm5mZ0dnbisssuw6WXXora2toLGqQ4U+OilFYPXV1dOHbsGAYHBzE8PCxAC9l/EUDJwowAfCgUQm1tLVpaWtDW1obNmzejrq5OgPLnclJMZsLk5CSGhoYwMDCA4eFhkWJP64jVgC3ec2QDV1VVob6+Ho2NjWhoaEA0GoXP5ztvk/gzPc+OHz+Oq6++Gul0Gi6XCz/72c+we/fus+pXx48fxxvf+EaMj4/DNE1Eo1E8+OCDIiV1YWFBAIn0y00kEkJGTpaybC0hy2Flz0MAmJubWxXEtVqtqKioEMxqypDp7Xby5EmxgGPbuXMn3vKWtwg7Co6F/KJ9BcMXZP/B16oh/Ytt4+Pj6O3tRX9/P5588kk4HA4R5EHJczmzVAYPCQoRqCpnK9JPjsCcfA8RHOKYLVt9uFwusW0+62TZ9AsBfS+FyfdS2tmuCZ9P4nymz5EBy9WOqRywLWdBygC4DFzKIHy50kFm13H+ICsgWBgj2MnfydTt7u5GU1NTyXOAQBvBFQa8EIjk/rAoykAggsiGYWBkZETIlwEIr0q5mMttZrNZEeBD9i3nTlTjkClJJiOZi7w+csEaKPXWttvtYh7F46atDPsxvR2ZHj0zMyOAblVVRfGU4C7PLcFmsm0dDodQCFEVQjBdDsuhNFZOHmcBm2FZlFMT3LTb7TD0ApoKMVxtj6HWYsKmAKYJWBRdAInmMnj4nJFQKyZRQy1KoUt79rIPOLAcA7OScK3BWI6eWU7CVpaBTCjIqlZkDQNWvbAMLirIQYUCDW7kiv/FUButuE9ZAHNwYU5X4ISJSq0ISbpRgA368ucqMKBCU1Xk3EEUvJVYSqcwDA+cZh7upQQc+SWYChC3eOFQCshbXVBUBYrVAd1ihd1igd3lwXQeOJ0GkjavCHZqa2tDQ0MDwuHwqiQLhgJOTk6KuV8wGEQ0GhWFs3LwkSqjV3IeODc3h2w2C4fDgYqKilfsc891W0uvXmtrba2tNakxPCQSiQgARVEUDAwM4B/+4R/wsY99DFdfffVzmI12ux3xeBwnTpzAPffcg2eeeQYzMzPI5/NwOByIRqPYvn07du/ejR07dqC+vv4FF7usCicSCUxOTmJwcBAnT57EM888g/7+fuH3wapxIBBAXV0dmpubsWXLFnR2dmLjxo0IBoPnbJGWz+cxPT2NwcFB9PX14fTp0xgaGsL09HRJUA1ZATRt9nq9IgmwtrYW69atK2EUPR/ISDNzysLm5+cFe7KcVQgUK4Oc5MlsRXkha7VaBfhJzyJWFIeGhjA+Pi4+i8BmOXuxnDXJiS8n6WQsymCm3+9HKBRCZWWlkO8T5OSkm4tEArbz8/PC85LBLQxxkUFHOSiB1fNkMokDBw5gYGBATJw8yzKU+vp6TE1NCVCcDEV6NNHbiYtTAjwyaClLzgzDEMnEbDwnZNzW19fj6quvxpYtW15R4CCfz6O3txd79+7F7373O3R3d2N2dlbItXgfV1RUoLm5GdXV1Xjb296Giy+++DXpzchF3dTUFHp6enDkyBH09PRgdHS0JFRKvm+44OUC0+/3i7To5uZmbN68GRs2bBDsRS6Kz0XLZDKYnZ0VDOmBgQHhf8UU1dU8FnmPU/IeiURQW1uL5uZmrFu3DrW1tfD5fBeMCfv8/DxuuOEGpNNp2O12fPnLX8auXbvOuIAhkMRUZRrMx+NxPProo/jiF78oZGJVVVXYuXMnPvaxj4lxkYwnOYhCluOWNxkAkcHDmZmZkiIcUGQ3bd26FVdddZVI3qTlBAsp/O50OnHixAm8733vw9DQEEzTxPHjxzE2NoZbbrkFd9xxx7k/2Rdo6+7uRn9/P+bn50sSceVxnvMLBkyU+5Sxv5DJRgkoQ1MIIvF93Obyou+M119u8r3Gn+fm5l7wf84kU+Z+l8uSz8Q2XU06/Hzv5fcXkhefaRt8H5+d5ftNcKy88bqUn08ZgC2XUpeDnfJ2y5+Lq8m4V/P5PNP5IXjH4iqBRLI8Zebqan1MDtqR5dAOhwNVVVWorKxEPB4X8wTaarhcLgFgkxHvcDigqioWFhZEiIucFM8iJj2uc7mcCGFkn5atGAgG6rouCpyJRAIulwvhcBjz8/MwTVMAt2QeciykN+PS0pKQiANAMpmEw+EQ55tJyARcc7kcZmZmoCjF4DuO0wzDYXGfRZfZ2VkBPnKeVlVVhUKhIIotHN8XFxeRz2VghQ6PasKCIjfRUIpAYVFKrUOBDgUqzGVYUVz1ZbqhYi6/pi2DjCYAowg0Ft+kL8uxteXvcr/Ti+ihDugwoSEHj/QZ+eXIGQMGvFhOtF7+HH05/bqgWZCCBTaLBg0GYoaJkFKAChP6coCMsvypGdWGabig6zZ4vSFU+aqQmRmFLafCrlhgKioUpdiXFnUFFXoWyGcxawsi73TBl84haFWwKVqDZ1OKCKqcmppCJBJBW1ubsEWR+7imaaiqqkJFRQXGxsZEiOTCwoJ4PRQKlYCPHKMrKipeMck12Zckuay1V7atgY5rba2ttfPSEokEenp6kMvlEA6HYbfbkcvlkEwm0d3djQ9/+MO47rrr8OEPfxjNzc0iWGNychL79u3D//7v/6KnpwfJZBIWiwXV1dVYv349rr/+elx22WVobGx8Qc/TQqGAVColUlQHBwdx9OhRHD58WFSWKQmw2WyoqqpCa2sr2tvbsX37dmzduhW1tbXnjC2az+cxNTWF06dPo6urC319fRgZGRHejJwcEmiU05HJimpubkZjYyOi0SgqKysF8Lea1xD92GZmZjA5OSm8pxhWQRlWOUOAk3CPx4P6+nrBvCEzgAtiTnbJ+iLASA9GAjKcRMqp1cCK3yOlfwSdKffzer0IBoMIh8MIh8MCZCTwSQYQgUtWxck6YLJ1MpkUrCSCi/TpomRJXhzJix5d19HT04OjR48iFosBKC4eGhoacNVVV6GyslIwDRYWFsTxUAZP6TXT/QgkEkQkM4ESupGREQwPD5cAjkAR4Ny6dSt27doFq9UqgKUDBw5AVVVs2bLlvFWMdV3H0NAQfvGLX+Dxxx9Hd3c3pqenBYDFVMtIJILW1lZcccUV2L17N9ra2nDixIlXlXH9UhrZK/F4HL29vXj22WeFD+P4+LhgBDLsh/2GskDeGzU1NVi3bp3wme3o6BD3KgHxl7uf2WxWFFD6+vowNDSE0dFRweCSPV7ZeH8TwCI7msBifX39GWVUF1rbvXs34vE4NE3DRz/6Udx0003i2JmqStsGhk5R5sz3pNNpnD59WtzXwIqH3r59+8RrBGDk8VFmT/H+JXuK45bP5xNjZU9PD+655x4kk0lx37e1teFf//Vf4fV68fDDD+OWW27Bhg0bXvDYr7rqKnR3d+POO+/EZz/7WXF8X/7yl3H//ffjM5/5DPbs2XNezvsr3Q4dOoTu7m4MDg5idHRUFOXIDmeT2fEEepcNEwAAIABJREFUGnO5nCjeMZ1XDtOQn0d8jsjt+Vh/tMcof01mj67mVQmsSFxlSbzsF8w+RrBaflbIP7OVf1757xynuE0ZDJTBNZlFKO+rfD7IcJMDYmTJt8yYk7fJ4yTwxn2xWCyCTUc1gmEYiMVi0HUds7OzApyiX+bS0pKYW/BZTgbgasnUfKZzn8oDdsrnJeXnQrYTkLf/fM9b/q8MwJZ/bnn/ksFK7i9tVuiR6vP5xPbpqyp7pGazWQH6ud1u1NXVCS9HetTy/uB8k/eJruvCu5vhfLQgcrlcCAQCUFVV+FfLx8pzbbPZhHWBqqpwuVxiOzxfFRUVcDgcgvFIViKDcwCIYJrFxUUhlZf3Px6PlxS4Q6EQQqGQsPgQxealJQRn++DQU9CgI2cCmrIimCbLUYEJZZmnWNIPeIlUoLDcRSzayttMXVvekg5zlf8nEAkApgHoJqBKXpI2mNDM5X6KFcARUKBoxa0uGBpGVRc8igKvnoJbARZgwYKRh1e1wQWjCD2qKgyLFQmbD2nVgSRUVCzEUGG3wMg5oKdzUPQ8vLYCUjY3rIoFaiFfvB8DIeQyWcSyOmzpBWRUJ+pqN6CuoUGozDjHr62tFb7MoVBIsPL5xdDE0dFRLC4uYmJiQoCP9OWkmiefz2NmZgYVFRXCAuB8NjlAa6298m0NdFxra22tnZcWDodRKBSEZOLqq6/GDTfcgB/84Ac4cOAAYrEY7r33Xpw6dQr/9E//hKuuugqZTAY/+tGP8Mtf/hJjY2PIZrPweDxYv349du3ahWuuuQYbNmwQE6/na2QnkU34zDPP4MiRI8ITkkwGj8eDmpoaIW/ctm0btm3bJiZYL7cVCgUh5e7q6kJvby9GRkZEwiurzkCR8VJZWQmfz4eKigoRVrNu3To0NjYiHA4LtlH5hJeSm3g8junpacEu5AJNTvXjIocLGjkFlB5eiqJgbGwMbW1tCIVCQr5Lv7KTJ09iampKyA25/fJEVE6suVCndInhA2QvUg4diURQVVUljlWWmtKTieBiIpEQE1r+zOoqAUbZyF/2kpIn9Vwg0CeKQEKhUMDDDz+M48ePI51Oi2To66+/Hq9//evh9/vh8XgwMzMDTdPgdDqxtLSE2dlZ4SVFaSrBbYIa8gIzk8lgcHBQpDeWy/3IqKypqYGqqpienobX6xVWAfF4HIuLi+fUHNswDIyOjuLRRx/Fo48+ihMnTgivUwIwHo8HkUgEW7ZsweWXX45du3Zhw4YNguVAqdiF2gzDEIWO48eP48iRIzh58mQJuMGFrOwhSpCJAGNDQwPa29uxZcsWdHR0iIn4uQh3yeVymJycxMDAgGB2TU5OYn5+vuR+kxsX9/QxjUajWLduHZqbm1FXV4fq6upVkykvxEaANZFIYHR0FNlsFn/1V3+Fvr4+GIaBzs5OTE5O4tZbbxUBHwQUM5mMYCzLMmdud25urmTh7/V6hedquQyT7GpKDuVxOhgMinADAsscr9LpNF7/+tfjyJEjYlEejUbxuc99Dnv27MGhQ4fwiU98AtlsFl1dXfjmN7+JaDT6os7N3/3d3+Haa6/FZz7zGezduxexWAz9/f1497vfjR07duArX/kKNm7ceF6uyws1mQVVKBRKvPFku4pUKoXBwUH09PRgfHxcSNeZ6CtLjmXAhmAF+758Xc+mUYlRDhKyKCQvqrnIpg+my+VCKBQSICKAkhRtWmpwPJBBOGDF05B+hvI55DMPQMlzS37+yyAWg0Loj8fiAxON/X6/KLRxm/w/+bnNZxfnJhzz+Rqfw7IqQGZ7c/tkifL8ykAtj0P2fSbzm0BabW1tCUgrJ0Xzc9jXcrmcAERZUOQ5IHuV+8uxguoGstXLfS15DFRhJBIJ+P3+knuc15Xnj1+yF6QsnycAWR7+RLWN/B6qHtinWPyleoLzCRlYliXUZCfKCfE8PgDCckFOiHe73WhqaoJhGJibmxM+3wy4czqdYixTVbWE7UgPa9lagEWuRCIB0zTFeWcoDsHFWCwminIExwEIdhz7NLDCfMxkMiLkZm5uDh6PRyhfbDYbAhUV8LnbYR2bg1pIQdOLHoorvozKshhaQTlgKO4vFH0VoQGqDpj6StCMogEwANPUlvOjCV4/d1uqWgQbFQAF6DB0DYpqwqoU4colALZldqOmmSi+W4WpqjANHUv5PKJWHT7kkNeL4TS6biAHA6qmwTAUqIaOlsw4UkoAs7oHC1Ybks4Q/J4wrJkF5BcSMJdSMPNZ5GAiZqqwmgqUzCLcLh+07CKMrIZ0roDUUgY2A+jo6MDi4iLGxsawsLCA0dFRzM3NYWFhQTz7+JyUCwo1NTVIJBKIx+NizRUKhRAOh+FwOASDlgxWKpXOZ5M9Vs/EJl9r56+tgY4XcHstLAjW2oXZyiver0ZzuVxobW3FY489hkKhAJfLhb/4i7/Azp078d///d944IEHMD09jePHj+OjH/0odu/eDZ/Ph4MHD2J2dlb4am3btg3XXHMNrrzyyheVaqvrOsbHxzE+Po6hoSEcOXIEv//970XVTQYb161bh/Xr1+Oiiy7CJZdcgvXr15+Th16hUMD4+LhYTPX29mJoaAhTU1MCaOQkjb6RrNDS462pqQkNDQ3w+/1ikSNvnyma9NShxxg9Asni5KJBUVYMtgmEkZXjcDjE7wTS2BwOB/r7+4V8bXp6GvPz8yWTdNmXSvYv4qJdTjINBoOoqKgQabyRSESkRdP/kdIdLmbomcbv8XhcyEUJMMoJ3mQhyIs0YMVjS06vplSJ8keek+7ubnz/+99Hb28v8vk8fD4fLr74YnzkIx8RC3nKIOmXVF1dLRi1IyMjYhHExWt5P+VEeWZmBqlUqmTBTOYHJ9kTExNCXklAnEnY4XD4nEyiTNPEzMwMfvvb32Lv3r04fPgwJiYmBLjFhXZNTQ02bdqEK664AldffTVaWlpWlQdfCOOQ3MiQGB4exuHDh3H8+HFRBCCIVy6TJhOHgFQ0GkV7ezs6OzuxefNmRKNRsVB+OQCjYRhIJpMYHBzEsWPHcPr0aYyOjoq+IQMFQOmCnaxFjh3Nzc2ora19TbAWCRCQfUhf2YmJCcFSnJubw9DQECwWCw4dOiQW4ZqmYW5uDj/72c9KmERsBHNkPzcusgcHB8V7HQ4H3vWud2HDhg0lY3EwGBQLIRY+uM0X0z7+8Y/ju9/9rmD5BINB3HLLLfj0pz8t3vPwww8LcD6RSOADH/gAvva1r71o4LG1tRV33nknvve97+HHP/4xnn32WWQyGfz+97/H9ddfj2uvvRaf//znEQ6HX9T22Mo9ZynN53ViUYcyRoKJZE6RfSaP4fI4zvF6NdAcWAlo4TV9scyU1a6NDFqxGEBWMj1KmQQvh/CQUV9VVSVAJhk4LPdpXI0xB0Aw1YAVkIz/w/A2BiEBK17LhUJBSPv5HhnAKmdssj9zvzjH4GsMb6C0tXyfy5nbBLb4Nz7necwEm8iYI4OuvOBYfo3lAg4/j32ELDomI5dfW/5tNdDParUK32SCeLQyIZtPLkCYplniI01wnOxYAuXs1/yZYNuZPK5lb1W+V2ZZ0p6F55TekPJ8hixOMrMJnPL5tLS0JPoj53Tyc5afST89ylll72huU5ZYE9ClryJZtbquIxAIiD7J4rHsvcg+ymICt8tQmlAoJPq2/GzldXI6neL+4LWnRy73Sb6/WLDm+xjOlUqlMDU1Jax4Fu1WbFZtcCsWaJpeZDXqxWd1AToolJZGjJW+CqBgAFAAbdnfEUoReDQAQEqeJnRJybW8LZM/qYBhACp9JI3lz9BULMKKnJ6HwzSg60DeNKBb7LBZbKgHsKhboRkZWGHCqTF4pigKzxZ0mIoOSy4PLZeCdTEBt92NOYsX8aU0JjwV8Dr98IZcyGbzSOYMJDM5GHoBZiYNz9wk7PFpKA4n4lYP5g0LErNzcLvdyGQycLvd2LBhA+bm5sTYPzk5KSygMpmMALbdbrdYd8jFeJIfFhYWUFdXJ9Y+8XhcEAfy+Tz8fv95AwNlBjLvhddiu1Dm1C+1rQXJXGBNDpK55557LvgFw1q7cBsndq9WW1xcxF133YVPf/rTWFxcxB//8R/jhz/8oVjcP/744/je974nWGScsDIFta2tDZdffjn27NmDzs7OF6TesyrLgASCjSMjI2JRJEuGN2zYgG3btuHKK69EY2Pjy6b2G4YhJK/d3d3CvJ6SZlbZKTnxer0loQxtbW1obm5GTU0NvF6vkCEBEOmlyWQS8/PzQipI4JHf5co6Pdo4ISXwR3YGpTlcECmKIlI7x8fHMTY2JpiM8v5zoswm+xOxCk/jdUopyF6MRCJiIS8zwWT2omzOHovFSgBGLnK5oJUnpzJjkYtCTpoJfNJjjxJo7iMNyclI+frXv45vfetbGBsbg2maqKqqwp//+Z/jPe95j3hPIBCAxWIp8YucmZnB8PCwkPFPTU0JhmP5Qo2BPeUyarJBXS5XCRvCarUiGAxiw4YNaGpqQmVlpZBYbdmyRSxYvV4vWltbxcKEi+vna4uLizh69CjuvfdeHDx4EIODg4JppCiK8Jbq7OzE7t278brXvQ4tLS0vyt/v1RyHKJUeHBzEwYMHS8C8RCIhFqTsQwQcuFipr69Ha2srNm3ahM7OTrS2tgrf0pczWaVUsLu7G8ePH8fp06cxPj4uJt/l8zL6Q3q9XsGsbGlpQWtrK6LRKPx+/wWbxEgPUwJODGMZHx/H6OioGMvIbiNLkQtYubARi8VKxp6amppVU+vpMSuDhyx0uFwu/Md//Af2798PAKiursbevXvR2tp6zhY6+/fvx/vf/34MDQ0BKLKb//RP/xR33303pqam8K//+q9485vfjOuuuw7j4+P42Mc+huHhYfH/brcbP/nJT16yB+r+/fvxgx/8AE8//TR6e3uFB1xDQwO+853vCL9D2k2Ue9lygV8+vr6QLLS88VlFYFGW+ssgjWy7cSZvRLlfl0uK+czx+XxwOBwIhULw+/1oaGhAKBTC1q1b0djYWAKEygCYzLKTAQ0eK5/TMvtMZqHxdfrQlTPZZAsG+fkmswNZHCsHMOXP4vNcBhXLA1P4zFtNdi17FMqyZ2ClEFfu88rXuX/yNvm6/Pnl8nBghZnJ68xnXzlLU+5XchCLvO8E0QiO8W9yQrMcksTnPMFIFht47uXAp9UARwKacn8lYEaAi4C7nMpMBiDnG7SJkVms3D+Z1cd9pBSafYrhdMPDw5iYmBAMM8qoCcLKBRH5HLOgwd8JfvMzCIJSXr0a05PnmcF2coI4C25kefP4FEUpOUeGYYhj435xu4FAAD6fT6hW2A943fkcp0c2+xKvndvtRlVVFYLBoGBIci6qKArsVg1/7kmgw5KGFYAVBizL8dQFFNmLqhQMo5uApgC68H1c9lpkn0WR4Wig6LuoALBihf240uQCRCmQyaaoRRblAlQsaHY4YcKNPHK6iZwBJHTAbdFg2N3QbQ4EsgnopgmrmYMdJqzLqdeEObXlfdA1BbpihaFasGRxYs7iRV6zwup0wRKuxYIjgFnNjcXFNLT4FJT4NLKpJLImkHUGENdcy4xLbYVdrOsIBf3Q7A7Mx+Li+jgcDtTU1IjrCEAU+GTrIz77CWCHw2HBSM3lciIcyWazoaKi4rzNG6empqDrOsLh8AXjUX2W7TVH01wDHS+wtgY6rrU/lGaaJp588km8//3vx8DAAKqrq/Gd73xHMC58Ph96e3vxuc99Do8++mhJImdjYyNuvfVWvOtd73pBhgZ9G4eGhgRL6Omnn8bg4KCYnKmqCr/fj2g0io6ODmzfvl2AjS9nsU5ZyMjICE6ePCnAxvHxcRGYwgkgF0ehUAjV1dVoamoSrKTq6mpRFedEL51OlyRJU6JA2SCZKHKAh8wy5ITX4/GUJDgTNMnn80KKzQmtLNuUF4r02uEEWV7gu1wuuFwuBINBVFZWorq6GtFoFNXV1QgEAiUJ2nJ1nWAdq/tkbHJSTUYoQSF5EcJFj2zaTskRPY7IWuQ54ISITE4Z1GWbmprCv/zLv+Chhx5CMpmEzWZDR0cHbr75Zlx++eVIpVJiMc4FO33kWMHlz/Qaov8f2ZvxeFyEzsjNZrOhsrISdXV1sNlsYsJOWRwZDRUVFVi3bp24Fh0dHfD7/XA4HOJ8aZomQEFVVVFbW4tIJPIc6d7w8DB+/vOf49FHH0VXV5cAvQCIRXx7ezt2796N66+/Hm1tba+I787ZNvbp/v5+HDp0CEeOHEFfXx/GxsYQi8XE+QFWWIwEGSORCBoaGrBp0yZs374dnZ2dqKqqEpKhs21LS0sYHx8X4wPl0azql7MXrVarYC42NDSgra0NGzZsQG1trfBRvZAa700GMrFIIHu8xmKxEqBLZh/JwJPMHGL/ppw1nU5jcHBQ/O2tb30rmpqaBLBI2RaBJzlQitdvaWkJb3/72/Hwww9DURREo1EcP378nPmNzs7O4pZbbsHjjz8uwNGmpibcdddd6OzsBAD89V//NR544AEAwLp16/D9738fnZ2d+MIXvoD77ruvZHtMz6a0kZ6UPMcyO4pMxPn5eRw9ehQDAwNiH+x2Oy655JKXLD2W/ewIMnAcpyebPAZSSQCghOHN8B4+q2RAkwvX1QojqloMpSKoEIlE0N7ejra2Nlx88cXw+XyChUYwSH6+yExALn75xQA0Ho8MmvEZA6ww07jN8gAhgiAE42RGlgxMlrNwCerwc/ksowSZz/FUKvWcFHM+i2WZtvwan4ncrmEYYlzntZSvqyzTLQcnVwNRy+cb5Uz+8r/LY5YsWZavE8HYcrBWZnLKHoQAhORZvmby+C6fEx6jbNXCeYIMjMiMRn5x7lFuv2KxWIQ3NIsq9P3lcREklT2xZaCDBUVefwJ5nMtQvpxOpzExMYHx8fESD2mZNcprw2e0DPbSJoDsLs6XOE8yTVMUHnj+ZbBeno9xn9mPZBsZgk0s9LIvMOFbtrdhcYOe0BUVFSINniAut0u2HO2ReI5l9icDeaLRqNg/l9OOZpuOnZYE1mk5ACacKmBXAZtShP9UAMqyrNkAYC7rp41l8FGVfBnZDBRTqXW1KBk1dcBQAUUBLBLWWEy11sXnGGVJ2QYAXQMWYMMAPLBBQRWWoMGEoedh6EUmZtYAChYrAjYLlmCFw8jBgQLsKKDoSLlcONWBPIAFA9BVC3yaCSgqZu0BTHtrYWhWOPUs9Mg66I1bsJAqAsKFfA6FzBKm52KYi8WExUImk4ECIGo3Ue1QkV9KI1swoHsrMZoxkVxYEONTNBoVxALec5x/A8W1Govz+Xxe2NBQuUOWLNcYtbW15wV4nJ6eRqFQQGVl5WvCa/x52hrouNZeXlsDHdfaH1IrFAq49dZbcffdd8M0TfzRH/0Rbr/9dtTU1MDpdOLpp5/Gt7/9bfzmN78pSfR0u93Yvn07/t//+3+49tprV2WgFAoFJJNJzMzMYGBgQICN/f39mJubE5VUn88nFu87d+7Erl270NTU9LLARl3XMT09jVOnTuHYsWPo6urC8PAwYrGYmLByssS06Wg0ipaWFrS3t6OxsVEAjZyAmqaJVCqF6elpkf5G7xvKW/kzx215Mk3pKyVj9EQMBAIAil6MlC2SxUipNEFGebEkyzf5xYkkg20ikQhqampEcjblnFwYlQOMZMDE43FMTEwI1k05e1GutgMrDDQeK/eDE1x+0cOOx13OGF2tccFx6NAh/PM//zOOHj0qfII2btyIa6+9Fna7XVwDLqDlQBoumGTpWTlrJ5vNimMmGKBpGnw+H+rq6tDW1iaYW+wHs7OzyOVycDqdQgZvsVgQiUTg9XrFhC0QCMDhcCCVSmFkZAT5fF6kTtbU1Agvr/b2dqTTaRw+fBgPPPAADhw4gMnJSZGWabVaEQgE0NzcjCuuuALXXXcdduzYccE+hxhiNDg4iAMHDuDZZ59FX1+fYDKSyQKshBYxTZpS5M2bN2PHjh1obW1FMBgU/exsWiqVwvDwME6ePIlTp04Jn85UKiX6BxsXooFAAHV1dWhpaUFHRwfa29sRDocvKOaiLFVkQAvHqdHRUczOzorXKb0ly43yq3KQiQBr+UKVDPBwOIxgMCgSLz/5yU8im83C5XLhvvvuw6WXXloCFL1Qy2QyeOtb34pHH30UiqJg3bp1OHz48DlbdHz84x/H3XffjXg8LnzM/vZv/7ZESm0YBu666y584AMfEOCVw+HABz/4Qfh8Ppw8eRIPPfRQCWtq69atggnCMeX55u25XE6oB4BiP4tEIti0aVNJMYZjOlnpcoGKxRmOKwx5OHHiBE6dOiXY3IlEokTuSLuPhYWFEskqx7vVmJv0HqU/aiQSwcaNG9HZ2Ynm5mYB6sjgogwm8pjlz5JBK/n5SOCHhTIAYvuyxyFD3dhkNqGcYi6P9bKnnizR5jmXg2HIguOzUvaLzOfzIpHYMAwkEomS+Y8MNMqAz5l+5nVJpVIv2IdXY0OWMw1lMJLnnMBW+fOb25R/5v+s1uTUY4JdBLq4fXm/OF+RZcJUTvB9bJzTEMgqZ4rKIJosv9R1XYB8LPbyeAmWUZkAQBQb+Uwl2FvO3JQLp7IVDM8t983pdIrCrWmaIhRxbm6uJBCGx2qxWATQxyI2i+PsA+VzLN4THo8HFotFzHW4Dc7l4vG4OA+UT3Ncl4tEMhDNscZiscDv94vzwr5OS5N8Pi/seGSbAZk9ymtDMJjFGBbiGdxnsVhQWVmJ7XVhbA9asNEDRC067DCQN4GMCaimiYBmwA5A1ZbRm2XWogkgbxbBQqsIfXnuc8bECgsSSvF/AMDKt+or7yv+qkM3AIsqp2cDWbPIdJy3OFGAHdVIw4P88v+oyOsGMroO0wAcKgBNRUFT4YMOK8xl5qQGDSYUGCgASOoqTMOERzWhaEBc82PGEUBCc6PCCiz5a5CqWQ9PsFL0SQK36XRasOJVVYVjYRbe9Bw8uRQ8DhsUmx2zBQ0zFg9m4RBz2qWlJfh8PrS0tCASicA0zRIvd6/XC0VRxNomk8mI5y/n6gDEmBcKhVBVVSXA93PRTNPE5OSkUDBdSPOss2hroONae3lNBh1/9P/Z+/LgNus7/efVacuWJVu+b8eJYzsHCQnZhAIlWUJLj13KMeXqsXS7bfbosS27tL92esDS7bbbdtpOgWlnu4XS5Sh02ymUAuUIR0Iu58AEx/cly5Ily5IsS5Zevb8/5OeTrxQnJAEa2PFnxuNLevWe3+P5Psf990tHtlRLdSaVyWQwODiIlpaWc+79sHv3btx8880YGRlBUVER/uZv/gY333wzkskkfvjDH+KZZ54Rj5jCwkIEAgHMzMzAbDajsrIS119/PW699dacZ0HXsym/Pp8Phw4dwu7du3H06FFMTU2J2TWT+9rb27Fp0yZccsklaGxsfEN0egZ+7N+/X6SagUBABqUcTJF9wyCYtrY2AZUoz+VxqKlw09PTOaw5DqQ4SMxfWSYAyHRnThhNJhOi0Sj8fj98Ph9GRkbg9XolqET1iFMZGGRIclIEZCWMHo9HAMba2lrxPSM7k55MKhOBLJxgMAi/35/DYCQQoU4c86VaZCXwviADgINYBjuUlZWJRPxUAAQnCgylCIfDmJ6eRjAYxFNPPYVHHnkEgUAAhmGgsLAQjY2NqK+vz2F8qhPM/C91YsoJLuVGw8PDGBwcRDQaFW9Ej8eD8847D+9973tRV1cn14LeNocOHRJWA4+9qqoKDQ0NaGpqknNBOZHKFpmcnBTPJ4ZfxGIx7NmzB11dXZicnEQ0GhUGa3FxMerr67F+/XpcfvnluPTSS1FaWnrWz4l6zt/MdogM0/Hxcezduxf79++XZNvFQEbVp7Surg7t7e1Yu3YtNm3aJOfwbEFGGqq/8soreO211zA4OIhAICDsk3ypIsMmGDrT2dmJZcuWwe12v2X+RWdShmEI83hmZkaSn0dHR8Vbkkw7StNVP7p8qwPV/y5faujxeISZyLalsrISlZWVwlLkwoWmaWhpaYHP54PNZsOPf/xj3HTTTWd0zpLJJK644grs3r0bmqZh2bJlOHLkyJty3u677z7cfvvtGBkZEa+y9vZ2XHnlldA0LUfGTIZnV1cXAoGAbMNqtWL9+vUCLvb29uYw/5kUSo82+mSpjKKioiIEAgH86le/EpladXU1Nm/ejHXr1uGWW27JmbifqqLRKF544QV0d3djYGBAmPsEOWgPMDMzI4tFbF+BxcHFoqIiuearV6/G+eefj1WrVqGwsFBYkiqwyiLoo0q8KVcGjgeUkQmo+sypTHgA8Hq9aG5uFgkqQQ0VPIxGo5KSqzIAk8kkrFarHC/7KLLU8hl9aqleomrQB7C4B6Wa0BwOh095rRarfGkszyP9jVVG8WL7sNg+new1Khipfql9uwpO8Vyrr2Xfr3oLqkxO9TqQWc3rx3tGtfFYTM6usldV+TfvWZXNy89SgWMuTo6Pj8PlcgmrluAwA3N4LxCAdTgc8rlchGGpx6UyAMk4VBdqOKYgc5jjF3pB8//qNdZ1XewDeJ+yDWJfSfsLypk51lDDesg8o1KF1isqCMtnidfSbrfnAMxkWTJwJJ1Ow+12yzbpY0nVSmlpqaRTU3rL9o/BfLTb4Lki8AUALU4rttWXYHt9CSrtZtjMC0EupizQF9ezsmaXEu4i9zayQKDZyDIiF5dJL9zbOO7PmF+GJFwvMBoNwDAysGgGNI2fueAtuQCGJjQNxRpgNxnQNQ0ZmJGGGRoySOoGDD2NIi17HITL0hqQMgE2aFm5NUxIaWakjQwM3UAagD9jgW4rhlFUgphugt/iRLSyFeULao50Oi1jVrvdjlgsBpPJhLn4LBzeYzD7h5GwFCAOC0osgMtiIF3eiGBpA2bjczkBYGazGW1tbWhubhbGLJ9PjuXVhHNVcUIZ9szMjCxI0fvT5XLiAfDNAAAgAElEQVSJnP9swcJkMolgMAiz2Yyqqqqz2sbboRbO57kfOJ5hvaMh3v/rpa60LtVSnUmlUikEAgHU19efU/q4YWTDYD784Q/jzjvvRDwex3333Qe/3w+Xy4Xnn38es7OzKC8vx7Zt23DVVVfB5/PhzjvvxJEjRzAxMYG7774b+/fvx7/9279h3bp1iMfjGBgYQE9PD3bt2oWDBw9ibGwM0WhUfJhqa2vR1taGzZs3Y9u2bW8YbAyFQujp6cGBAwdw5MgRDA8Py6pvKpUSSWRpaSmqq6tFptne3o6amhqUlJRIJ8mktvHxcfHoIUOEAy+yKDj45gSKEhRO3iibttlsmJ2dxdTUFAYGBjA8PIzR0VFh1nHlmp+vroozQdrpdMLhcIgEvLKyEnNzc3jXu96FmpoaWW3n6jmZCAQxGQBBhh7/riaQqr5eqmSMg1qCmGqSJY3Zy8rKxKB9sfRuFpkPc3NzMjDn9+npaUm55oRu7969OHbsmLS3NptN0vWmpqZyWBUEFTnooacYfSPJXuE5GhkZwd69e+H1eoX9WlFRgTVr1uC9730vmpqaJEyAkymCzgTD+HkEX+mBo/pTAcc9zuiJytCfgwcP4vDhw8L+4+TC4XCgsbERnZ2duPTSS7F9+3asWLHirJ+RxeqNtkOUfPn9fhw6dAgvvfQSjh49iuHhYQQCAWE7qKwRSvrpk7p+/Xps2rQJDQ0NIic7U5AxmUxidHQUR44cQXd3N4aGhiSxXQXbOEl2uVyoqqpCU1MT2tvb0dnZiaampjc1XfxsihNRSmIJLI6MjEhiN58VsqxVyarKUFIXCNh2kA3NNop2C0yjr66uRllZWY6s9fUAsG3btmFychKGYeDmm2/GjTfeeMaA4/bt27Fv3z5omoaOjg7s27fvtM4V2eFjY2Pw+Xwii+cCytNPP50TSGO321FfX4/i4mI8++yzi25X0zR0dnZi7969MkFOp9Po7u7Gddddh6qqKlxzzTV44oknMDQ0lOMz+qMf/QjV1dU5jDDWN7/5Tdx///1Ip9Ow2+1Yu3Yttm7dig9+8IO46KKLFt2XaDSKnp4eWRQhwBgMBnNeNzExIUBzflgKJ4Usm82G0tJSVFRUoK2tTdo6j8cjiyrRaFT6isXOD/sAthnJZFL6BH4no5Qghxr0kg84EtiYnJwU5nsoFMo5DgKK/HyVkUZfOuA4UMVnKZ+htpgv5etVPgNaZRMS2M1nuaqgovqz6rnI9ij//+rf81mMqlSXx5/vbZgvRX89ZqS6XfahBMdUGTrBwcWeb9X7UWUiqvuVL4FXpeAc/6lybfaZ6r1HiWc+GMmFVZ/PJyA/xxnqmE1losbjcfh8PpGZ2mw2lJSUCCCXfxw8Px6PR+xYeP3V8EE1mI/WO7Tb4TPA60a2GkPzyCpm+J2ark0vbS6gEzxVgUQy1pLJpCwAcxs8FpWdyPMUjUblekciEXmfzWaD2+2Gx+OByWQSy6BAICCfVVxcjIqKCqRSKWFXFxcXw+PxYGxsLCf8raioCOn5eWzwFKKz2IxCpGFfAOgshhmanmU22sxAaiGNmpChgePeiGkDsMowQQUa6ZxoBoHHbBiNCdoCjLiQOwMsSLZTyIKYugE4TCakMoDZ0GE1YSHt2gSrpsGiAXYjGwxjymRF00lTGiZNhwUGNLMFabMlG/6CbCCNZsrKwE06oMNAxpx9nwkGCkwmzJosmMloMDQTCtNxzEZSCBdWY67AiUAwiEgsJmzC8fFxWCwWVFZWoqamBj6fD2Yjg6oyN+ymOQzMadASc0iarUjEphDN+DBncaGoJHv95ubmMDo6ikAggKGhIZhMJrS0tMBms8kzqT7vKvlC13W4XC55VgoKCuT+oKdnOBwWpjjZswTT+fV6YwOC/qc7HiWYzcWEt0ulUql3pDR8ien4NiuV6XjvvffC5XKd4z1aqndiJZNJdHV1Yf369ee0YZqenpaO6Be/+AUeeeQR8XXhJMHlcuEv//IvccMNN+CCCy5AQUEB+vv78f3vfx+///3vEQwGYbVaUVNTg0984hPYvHkzdu7cib1792JgYADhcFh87CorK7Fy5Ups2bIFW7dufUMedJlMRrwaDx8+jFdffRWjo6PCEAMgLKqKigrU1dVhxYoVWL16NZqbm0WaRjkIgUafz4epqSkJhcn3r+FgkQBSaWmppDx7PB4ZbKZSKQSDQUxOToqfJTv8fCYjO2JO5AhgcfWQ/nF1dXUilbZYLOju7sYFF1wgHT+laMFgENPT05iYmMDExATC4bBIXFTPLn6u6lfElXQ1NZo/O51OCX0g4+lkK5pkF6gASigUkhRvrpYS/FRTU8mSoPyVVVBQgObmZkmrJSDLL3VfVUN1u90ucm9N0+D3+/HEE0/g8OHDmJmZETC8qakJ27Ztw3nnnSeTN07OTKasYXo0GkV/f7/IhqPRaA5LqLOzE+Xl5cJ4MgxDWK2xWEzYdM8//zyeeeYZDAwMiNyRQUqtra246KKL8Fd/9Ve44IIL3rI24mzaIU5+ent78fzzz+PAgQPo6+uD3+8X9i8naWR3uFwuYTWff/752LJlC2pqas6KyWgYBqampnD06FEcOnQIR48eFdBFlUhzcllSUoKqqio0Nzdj1apVaGtrQ2Njo0jEzkWRXUCPMb/fj9HRUQwPD8Pr9SIUCgkYz3PK50JlJKnSVLLqKCf0eDyoqalBaWkpamtrUVNTg+rqapSXl4tnqsoyO5v6whe+gLvuuguZTAadnZ3YuXPnGZ3XaDSKyy67TFiNq1evxu7duxGNRhEIBOD1euH1ehEIBISpoTITCfYsNk4+fPgwIpEIAAhQUF9fj5qaGmnL1EAbj8eDsrIyMdzXdR2XXXYZ4vG4nCNKvll/+MMfcMcdd+R87u233453v/vd8vv4+Diuv/567NmzR/qQK6+8Eh/96EfR0tKCgYEBsdOYmpqSdpGM8/yit64assHjVxmMKqN/xYoVWLNmDa6//noBlFj0blMTdGdnZyVMw+12y3ni86oyBg3DEA8wvgeAMGLUhSyVScfP5s+JRAK7du1Ca2urMFD5Gh4fAaT8IliiMnlVxuBiQJmqIlDfp25Tfb/6dyA3BIY/q8+SyqzMBwbzwTkyD/PZ+fnsQwJ/AE5g96t/yz+W/P1VGX8quKkGzajyZvX4VU9Hfo4KLhNAVJnUBJpV2bS6TQalqDJsSrH5M8FKwzBOSIQm0JxKpTA6OorGxkZhDwLHg1O4aKjKlwkWctGR50JlbHGxhvtNQEW9d/j88JqQEZhIJDA6OioqFlXGDSAnYZznnh7X6hiHxQC//JAdALJPXDBWgwvJZiMrmMA/7z2eS3rP8nnmOSRjmwvgDNFJpVICPJK5yfdbLBZRQFHNEw6HUWQx46OtxVjrMqPEakJ9sRVWTYNZbomF58Z8XCKt47gMOqVnhc8FOBkzy4DKjdSRBQ8pw+Y2ud1ZQ0MsY8CuAc6FR9hk6LBp6lY0HHd6PF4qzJkGEDdbkIEJdj2NjJGB1cgCmhYt6z8JAzAWUm8Ms4Y5kwMBawlSyTiK0nOIwYJhONE7b0Ws0I3CwmyIJAMeaS3BBTQYGZQGh1Cpx5BxuDCTMjA/E0Rheg4+rQjewkpYFxbfOa+YnJyE1+sVb/GWlhY4HA55xnhPcW6XyWRkLsJFyWAwCMMwUFZWhnQ6Lb7BvJepoCD7V67swj2ljqvVRY+pqSnoui6hcjlXdWHhnwzqfOY9x/xcFDuTxc83uxYW4t5xTMcl0PFtVkug41K9GfV2AB1pbg8AHo8HExMTuO222/C73/1O/BvNZjMuvPBC3HLLLdi0aVMO3T0Wi+HBBx/ET37yE/T09EDXddjtdlRWVsLtdmNqakomhaWlpWhtbcWGDRtw+eWX47zzzjtra4JUKoX+/n68+uqrOHLkCF577TWMj4/LJJTADVk8y5Ytw6pVq7By5UoBOsxmM2KxmKQZk/1Hdh0lKapkiP5AJSUl4sVHX0YeSyQSyQEQhoeHhc2oytxU5g0ZhBwUMDG7vr4eDQ0NqK6uhsfjyQFoCGTt3bsXra2tiMVi8Pl8ItFWA1LyQwFU76rFAEYCevSe5GCHkp784kQomUwKWzEQCAhwEolEhMFIwICSnHwzf57rRCKBwcFBAQ00LRsqsWHDBrjdbpSWlgpwQrCRwIuaCK5O8gzDQDgcxosvvoidO3diampKfIqqq6tx2WWX4eKLL84BUlUfLA7CxsfHMTMzg0AgIN5QtbW1qK2thdvtRnt7OyoqKqBpWW+ciYkJTE1NwefziUyf/ktqEE15eTlWr16NrVu3Ytu2bejo6HjLB02n2w4lEglMTExgz5492LVrl7CJGcijemAS0KmtrUV7ezvWr1+PCy+8EE1NTcImOROgK5lMYnBwEF1dXThy5AgGBwcRCoXk/maZzWY4nU5UVFQIwNjR0SGfey6KkuiZmRlMT0/LAsTg4KCATGQuEnBfrJ3gM6sGGPBYudjBgKi6ujqUlZUJw/qt8kT63e9+h5tuugnpdBp1dXX4r//6L2zatOmk9xFlgtPT0/B6vRgcHMQtt9yCsbExANk+6OKLLxYpYX6wx8lKDTJwOp3QdR1PPvkkwuEwdF1HTU0NrrvuOtxwww1YtWrVCaDZqeqhhx7Cjh07cu6z6upqPPPMM9IXer1efPjDH85539atW3HppZfizjvvxOOPPy5ebRaLRQJWyMw7VZHJqaaFE1hSAUaTKRtgVVtbi40bN+I973kPtm/ffsL20um0WFQAEI9j9fNUUE+dHOYDcyqzjwsRKpjIz6O89PWKi0wMmVABHbVOdl+oDK58Jp36PKk/q1/5QBo/S92+erz8Wz6AqkrM1WPg/1WAUH1vPkNSLVXemw8e8ndVkq1KnoFchqP6OyufyaluX32PyoRUgUv+nQtt6nvUc0AgkMAa+24+jyogyYUZ3vP5C79UTLCtIOtvfHwcjY2NOYAl30cQUfVDtFgsmJubk6At2qXwPJBBCUAYzRxj0GfR4XDIOaCsmWMvWi0kEgkEAgGxGOJ+q9Y3ajgOmYgcH3JBm/6uVK+o76G8mUqXwsJCARLJUFQ9LKkCIjOU15sLEVwM1TRNPGjZh3M/XC6XjAH4eRw3U9LOfiudTmMq4EdwdBjvcc1jjcsMj9WEmiLzSQTQ5mwgjAI+ahkgacqCfHZkA2ZySwHeoUFbAArl/XymkGU8JgEkzBrSMMOi6yiEAROy8KJZ3qPL+7K/K4su3J45K9Oe1UyYM2X9G4uRBnRgXs/6RFoW/CdTAGb1LEipQ8OcZkPSaoOhGwgl0wgkDUTMDkxqhRiKpVFUVASPxyPg7tzcHDTDgEUzoMOECnMKdeZ5lJt16MkkNIsFCUcpJjUHeqfj4m/KxXebzSZEALvdjtraWpnL8PqzbeJ8iCxcplbPz8/DYrGgoqJCLGio0lD7q0wmI2Dg6/UDmUwGfr8fhmGIfF9d+D9Z26/6xLLsdjs8Hs8pP++trCXQcanelFoCHZfqzahzDToycAAA3G63eDV2d3fjP/7jP/Dkk09KI15XV4dPfvKT+Id/+AeUl5fnbEfXdTz11FP47ne/i5deekkGJpqmSYBGQ0MD1q5di0svvRTbtm07ay+6RCKB/v5+HDp0SMBGv98vISuUxlRWVqKhoQGrVq1CZ2cnWlpaUFpaKpKZsbExDA4Oio8hQTHKQFX5EmXZDGahN2NZWRkcDocAUQQSyFTy+/05Zveq5yNBGVWaXF1djYaGBjQ2NqKyshIejycn3ZUDcMoYJicnMTo6it27d8PhcIiMVZ1gEWBU5WyU8BBg5ADa5XLlMBhP5r9Ib6DZ2VmEQiEEg0FhMNJDjAwtyj85+GCpP3PSpMq3I5EIurq6MD09DcMwUFRUhI0bN+Liiy+W5NvCwkI5Lyx14shJCuWlqVQKx44dw+OPP47e3l7xdistLcWWLVvwvve9L0dam7/6bzJl0x3Jgp2YmEA8Hsfk5CSKi4vR0NAgA7eqqirMzs5icnISY2NjGB4eRn9/v6Q6cr/IAGxqasKll16KjRs3oqysDOvXr/+zyXxP1g5RNtjX14cXX3wRL7/8Mo4dOyZsRq4wq9LSiooKLF++HGvXrsXFF1+Mjo4OlJSUnDHIGIlE0N3djQMHDqC7u1usGVTpMNkmbrcbLS0tEmzR0tJyTvpkrsBTlkpwsb+/Hz6fT5jHBBfJSs5nLXJwzmfB6XSKlQI9W+vr68Vjkc/v6cig3+yqra1FOByG0+nEnj17MDQ0hOXLlyMYDAqre2pqSsD5fF/Arq6unIns+vXrZdtkXZG5TMkh/U95Lpj6Tjn4fffdh1tvvRWRSASGYWDDhg24+eab8aEPfeisnyk1zVqt7du344c//KGAj3//93+PI0eOYG5uDsPDwwiFQjlgpd1uxwUXXJCzDdUXN5PJYGJiQoJeGISV779IeRuZ+x/4wAdw7bXXnvbxqO2j1+vNYb5T+XA2EmRd15FIJOR33o8qYKR+lvpFwGVwcBCVlZUAkBNQwsVL/q6ycdREZdWbUAUhVfBJtRFR/8/fAUhbkw8K5s/HXm9+pkqL+fp8wC//d/Y5VICw/+H/yE4j+MftqwEhKsjItoFjAKo7VFYft6F+Do9NZdnln2t1oZDAnsPhWBREZT9P+xUeJ+1PVLBTvac4BmOfrALvlHvz53g8jt7eXlRXV58AyqqejLynuODHMRmvj9pPk8GoLj7yHKkgG8d0auo07QDU88PxGz+D4zOOJ+kZTZsZ9d4tLi6WRW6O03RdFyshTcv6SbIfIXONbDP6GdNTmuAifazNZrP4OKrXkGNjhg0CyFGRUAHDNpuAI0HY+fl5OByFaHHaUG7OIJOMYUV6GlVGAk6TjpLXWRfLwAR9QRytIQvWWbDAh8wLheEvZDESOMzALGBidpvZ/6cywDyAjEnLBsykDVg1wAbAxCSZU1QOp9IMpKEhCVNWPr0QIcNNZPTs5yehIW02Ia6bYTJnMKebEYEVk0YBJjJWFCEDe3oOQwkTBs0uJJLziMfj8Hg8qKutRVOxBQWJCEx6GhmzBdMZC3Q9g+oCE8pdTszpGaSLPXC3dkLPZNDf3y8MQvUZJQHA6XRi+fLlYjPFdiUej8Pv90tbwTkCGbTRaBQFBQVoaGjIAd5NJpP43XOcaLFYUFpaCovFIu04709+j8ViYh3CgE21bDYbysrKZP6Sz9ZVk+oBoKqq6rQXGN/seqeCjkuejm/jejv5ByzVO6vUweG5KEqXKJlguIVhGFi2bBmcTqeAktPT07jnnnswOTmJz33uc1i2bJmsoDMVbdWqVRgeHkZvby+A7OB6enoajY2N+OAHP4i//uu/xvLly89qYkywcf/+/Th48CCOHTuGQCAggyWbzSbSQXpUrVy5Ury76JvT1dWFsbExARkpneYAnYN2JlqTUVdRUSGeZ5Qg+Hw+dHV1YWBgAIODgyIBVL2DOGgle5ByZKfTKRPmlpYWCYJhOpwKMsbj8ZwgG/p5kWE2OTkJj8eTw2BkgIGaHM19UFcrPR4P3G73KQFGsrRCoRCmpqZyQEbKACkB5bFzIqAySlRfLzWJVQ1aKCwsRH9/P3bt2iXpoB6PB1dccQU2b96MkpIS8VHiRJWr8Bzo8NzR2Jpyjcceewy7du0SSUhBQQFWrlyJ973vfejo6JCBliqJY/HvBDI4qKePGQfjIyMjCAaDOHz4sEhmx8bGMDk5meNBBWRl4ps3b8aHPvQhfPCDH0RNTQ3uuecejI+Py3375yi1HaIdwKFDh/Dcc8/hyJEj6OvrQzAYFEYmkGU/8floaWnBmjVrsGXLFpx//vniZ3e67ZphGPKZe/fuxWuvvQafz3cC8MF7oaamRnwgySj9cw8qM5mMDI4J/lMiy7R5gmzqhFWdeKoeoExyLy8vl3Tg+vp61NXVoba2Fi6XS0IuzqVciF5fo6OjuOmmmzAxMQEAOP/88/HFL34RXq9XpFgnA2O4/2p6s8fjwac+9SkBV2tra1FfX4/y8vIT/AhPVd/4xjfwk5/8RMIOLr/8cuzYsQPbtm17Q8f9i1/8Al/72tfw6KOPYmBgQP7+5JNPoqOjA+Xl5diyZQsuu+wydHV1Yf/+/TnvN5vN6OzsxBVXXIGKigpp54aGhhAKhcSCJD8x2GQyiQS8vLwcbW1tuOCCC/CRj3zkDRnsq30FPWuBXMY6QUBOLnkfc0LHtOp4PJ4j/08kEgIsczvqlwoSAsiR0nLSyYA0FRA8lSw7n7HIY1QZh+qxEyjLBwQXYwyq/1cBPlXeq/5dBe24TbVfUQNQ2Nerx5DPDFRBRlWKyJ/JLOeCogqsqaxItT12u93yP1UCTWsXtZ2hvQ4ZR7qu54ScUGLLe4LF60p/YgIPPJZEIiHhGGRMMTmXxfPFn3lsi7WBHHM4nU7Mzs6io6MDBQUF4sfMe5X3NBc5dV1HPB4XhYsaMsN+kQtqZCRyG+pYj7JtXkP6FpeVlck4hWyswsJCNDQ0iFUEPaLJsKSShmOM8fFxBAIBOZ9TU1Ow2+2YmZkRgJDgy/z8PIqKimRhmLYzHIs5nU6k02msXr1aPMbpkRmNRiUZm/cVg+x4Xux2O8rLy3MSwAnERqNRuFwu8f3mvIJAd1kmDlc8ijprClXWDIq0DJzQYFmQO2s4gbIoZUJmAWw0Y34hXVru6EXfZl4A+gwYyGTBRV1fYBuakQYDZrK+kHoGsBgGbDqgaccTsg3Tce9HFt+nVgYZaDAho2c/0W7WkYGWDaZBFrzMBTsNWHQDFqsVMICiQisMWJE0F8NuscMfT8ORTKPMVoCAbkdaz167mZkZWKZ9qKwoRrXbgUK7FWaTDe4CK8bSBXht3oTCiAHNYofFmEdRb68sTjmdToRCIQBZiT7Z8bR7mpmZER96LkwQAIxEIrIoTaCZllkkQsRiMfF65DNqt9uFMZtKpeD3+0WRoLZJtHVKpVIyJ6FqgX0D2136guePMbmAQUYt26lzpXJ5p+JDS0zHt1mpTMcHH3xQBkhLtVRnWuqg8M9dZDSYzdngDJrGHzlyBPfffz/27t0LXdfhdruFXu90OtHZ2YkdO3bg8ssvRzKZxJNPPon9+/dj3759GB4eFkAMyDa6LpcLH/7wh/Gd73znjIGU+fl59PX15aTgUpJK4Ki8vBz19fVYuXIl1q1bh46ODlRUVEh63sjICAYGBjA1NSXyRqa+qRMGFWjMD1ig0fbIyAj6+/vR39+PgYEBjI6OniCb5nETXCspKRHJdGNjI1paWtDQ0ICqqioxLKcPj8pkHBsbw/j4OMbHx0VepyZKswNWmWaceFByXFxcLPtQWVkpkuTFPDQ5oKX3IAEVAijqVywWkxVMlT3CyZLqMUfpNllbBBf5dw5I7XY7nn32Wfz6179GIBCAyWRCVVUV3ve+92HNmjUoKiqS1VYVhFBT8lQWBlk1R44cweOPP46hoSHE43HxHt2+fTu2b9+ewybheeO+cyBvtVqFxfn8888LMJZIJMTDhvvAiRlDe1Swjvebw+FAfX09Pv3pT+OjH/0onE4nRkdH8fWvfx0A8OlPf/oERtRbVclkEhMTEzhw4ACee+45dHd3Y3BwUJ55TqJ4j1VXV6Ojo0OYp21tbTLZPZ0yjKz/24EDB7Bnzx709PRgampKPgs4Pqn3eDxobW2VJN3m5uYc1s2fo/g8hkIhjI+Po6+vD4ODg8J4ZcgU00wXk/OR/cJJaHl5Oerq6nLYzRUVFTmLDueiKI3y+/0SWuL3+8WHi0ElY2Nj6O/vB5CV+J533nmyDZW9RHuGsrIyVFdXC5j6xS9+EXv37oXJZMJ5552H3bt3v+F9v+aaa/Dss88imUyiuLgYH//4x/GJT3wCy5cvf8Pbzq8dO3bggQcekN957fPLbM4GFtXW1sLpdIpv8Klk1QQYKysrsXnzZlx99dVYu3btKfeH9xwX4cgwoT8jGSmzs7MS3sWwGAIx8Xg8JzWXXm0qI4XggsokfD0QMP93AlBqsY3hzyoYqH7l+w+qABwXjfL/rz5LfF3+tgi4EVxhG82+FUDOohQD4yjpp+ceP5fHQ8Y1zxcXyghU8X12u13GgmTUR6PRnOR5XlueI/6PXoi83gByFi55POrxU2KpMkxVcEllThOAS6VSJ8x1VDCWfSX3j0ABZe4cE6jHT/YiAAHq1HPIRWCCqqo8mudV9aBTnweeb3WcRHsKTct6GpJJTNUPn0ueB3oh8tmmXQVZ1SyeQxVIJ0PTarVKuB73iWMNAjbqIhX7De4vF0+tVqs8rwT5KaHmgjbHoVzsNplMiMViiMfjogzhfUzJq9vtRjAYxOzsrCwAEkwyDEO8yQki85qo1kNkPxIY4ricjEyz2YzUfBJtpjhWaDHYTECFKQWnOY0CZKDpOqwAjp/Rk4OPaQBJHbCZzXi92Em2MlkZtYEMMsdJkUb2U2xalv2YXnidOe/9GrKyaXW3VNCRLEd94e/JjA6zZoZZy75PB5CChgI9K9k2zIC+EF5jGEAiA+hmDQXWAmQsVsxbCxGyurJBMHNzmDQVY9hSitgC+SA8HcKaQh3N9gwiGRMSZhsqHHbUlhRCr2xGn1GM2YVFN4a6cOxPsN1sNsPn80mbMjo6CsMwUFVVBbfbLXZD1dXVSCQSmJmZkaCZSCQiqiguhprN5hyveADin66y2wmwAxBGLcf1/JqamoKmabI4l3Pt02lMTU2J7QDJFosVgfxzLbFGbuj6O6KWmI5LtVT/R+tcroS4XC5h4JBlEQqFEIlE4PV6AQDNzc249tpr0dPTgxdeeAETExPo6urCV7/6Vezduxft7e3Yt28fXn75ZTG2py9dNBrF+Pg4EokEfv3rX2NsbAw/+MEP0Nra+rr7pus6BgcHsXPnTgmpoIcbAFl5rq+vx5o1a7B+/Xq0trZK+ubU1JQAAz6fT7zT6HfDQdVs6B4AACAASURBVCuBAAKN5eXlOUELmUwG4+Pj2LNnD/r7+yVFNBgMyiCMA1tVXkMZYHV1NZqamrBs2TI0NTWhrKxMPI0IMlJKMzo6ivHxcYyNjeV4eKmTOTWJWQ1NyQcZPR6PyJAXYzHys2dnZxEMBgVAIYhCFqjK1lL3Q2XkqH5qapKh0+mU80vmJdkd+Z5Y6XQav/3tb/HYY48hFArBYrGgsbERV199NVatWiVAICesKsCrTmxUWVoymcQf/vAHPPPMMzJQcbvd2LBhAz7ykY+gvb1drgV9nVTJGgf8BITp38RVU7LdwuGwsALIqqTPEo+Rg/DGxkZUV1dL2uW+ffvQ3t6OyspKPPfccwgEAgJSvZWVTCbh9Xqxe/du7Ny5E93d3RgZGcHMzIxMZijhLCkpQUtLC9auXYuLLroImzZtQkVFxWlbQhiGAb/fjwMHDkgKud/vRyKRyAEZCwoKUFVVJSxGsib/XG0kJ/KhUAiBQADDw8M4duwYRkdHMTk5iWAwKIxPTkbVBHtOaMniZVtSVVWF2tpaNDc3o7a2FlVVVTnywj93MWRqYGAAw8PDwqCmJQIXN07FVCTbz2az4YYbbpCQGgZd1dfXw+l0nnB8uq5jx44d6OrqEvbfGwUcp6amcNlll2FwcBC6rqO6uhpf+cpXcM0117xlbOE777wTO3bswHvf+15he56syAgHjrOKyd5kv9Pa2orNmzfjiiuugMvlEtCP/mt/+tOfEIlEEIlEJHArGo0K2M02WpXtq4CVChYuJjXOZxGy1OdzMeafekz5kl6V2ZffnhI8UiebKqCkMqvYnvO7ui3+zOePgBAnsqpMkH0+AS31WGgFAxzvjygVBZDjt8fng8CNCqKxHyFjkEwxTrrV0A8y3yixtdvtkgRLkJH+pwSLVaniYsxRAraqZQmBLxWU47lWATWCY2q7pHr1ArkBMuzzOJ4ig1HtU9lvE6xTwUl+PkFt3pP5zFgyKdkmqdefAKm6WEPmItm26r7Pz89LSCK3weAoi8UiUlKmQxMMJgDPdj8ej4tPocpe533KdocgDwDxTrfZbDKGUZmUbA/U4+W9wn3hMTO4IxaLCdMxmUwKAM4F5GQyKeOJUCgki+18Tm02GwKBANxuN2pqapBIJFBRUSF+1WwP3G43LBaLtDcMiKFNjmEYKC8vh67r0mYNDQ1JGE51dTU8JU64jQxKM3HoehoJPQPN0KCZNRQeD5nmHcqrltseIQvUWTXAIv8zn/AaACLD1hZk1mZkgUINGgwYWeahAZgWtmOBGVnY0JBtmviXBZTRtODZqBZbQu6F1XTcfFLTAYsZMEPL+j3CgGFk90GDgdTC+03pDOb0OZhtGZjSKXhSSaRdVRgqKUdac8BV4IartDQ7xrZbYYt6kUklMK3bkUpnx6CmqAWJWR3TxTVwV1TJXEQdo1KhQwulWCwm42LaDWUyGbGLymQycDgcskDK95MJS7USpdrxeFy2SasNAuIkEXCMpdo/uVwu8QxlO7IYmctiscDj8QgwPj09jbKyshNeB2TH3JFIBPPz8ycw15fq1LXEdHyb1RLTcan+r1QqlcLU1BQMwxDZ3Isvvojf/e538Hq9WL16Nb761a9i5cqVeOihh/Dwww/j6NGjSCQSEiqiaZoMej0eD9auXYsrr7wSGzZswH333Yd7770Xk5OTsFqtaG1txR133IHLL7980f0xDAMTExN46aWX8OKLL6K3txdTU1My2CbTimDjhg0b0NzcDJfLBV3XMTIyImCj1+sVmSalibqeDbphOEplZSXKy8tRVVWFsrIyGSz6/X709fWhr68PPT094ofCDkyl+hNgczqd8Hg8qK2tRUtLi8imuRrIVWlKDQgwUpLJyQwH9uoAXU1mJoDHyRWlOARKVWkDiwPxUCiUw9CiqTkBRjV5WJ2UAsc91lQ5dElJiQw8VMCRkwqulnNCpDJm1Inpo48+ij/+8Y9Z6YjFgvb2dlx33XVoamrKCRTg4EGdbKqgFLfp9/tx33334cCBA4jFYrDZbFi2bBmuueYa3HjjjSesrqosllOtnGYyGYRCIbz44ovo6+sTz75kMolwOCzXkSb1NOjesmUL3v/+96Oqqgp79uyRQBQA6OjowOrVq3H06FEMDg6ira0NX/rSl9De3v66z++ZDKYY0kCg8dVXX5VAHPpOkXXqdruxcuVKbNy4EVu3bkV7eztcLtdppcyTLdHV1YXdu3fj2LFjmJycPAFkLCoqQk1NDdrb27Fx40asW7cOpaWlf5bBoQow+nw+jIyMoKenB4ODg8L4JhuMbAA+DwRGKHt1u92orKxEXV0d6urq0NjYiObmZmEyn0loyZtVs7OzGB8fR39/f471QzAYzHnGFys+QypTkT6lra2t+OpXv4pDhw7BarXi3nvvxVVXXXVa+5TJZHDXXXfhX//1X6HrOhobG3Ho0KE35Gf8+9//Hv/0T/8kErCOjg5885vfxHve856z3ubp1MGDB/HJT34S3d3dJyQp19XVwWazIRgMysKEuqBB5gX7LtW7kcASJ/aUJ6thVirwky89fj2QUGUHqkw2tR1k261+EUAjgKGGj/GY1LRi9ltqWJn6pQaZ5f+fwF1+G5/fzqs/Ux6qVkFBAUpKSgBAwCwyA8n+IjBLthZBNrL7GC5Cz2gVuMv3igQgDEmes3g8Lp9LAI3XkNdLXZgi25Gvn52dlf3hOeHCHc8XF/M4RrBarXL/cBzBQCWeNwJwFotFxhz5i26pVCqH/U+fQoICKotVvedUX0b1+jJRlmCyeq/wflCl5ZQss/0lA5eAIgNKeN5VIJLSTAaqqPLhfEZy/vWzWCzC2lLZsJQ/0xORdiQcE6mgMgFljsUISpJtqDKTDcOQxUwyklUPPNrUcFzBPphsRLIfeT8wcIRhOQSDeB9zUZngOgF+q9UqvudcQOZ4huPe8vJyYU/SH5DbUMfEAHIWq4uLi+EpK8X2RjfWaBHYoUM3W1Gkz8Gsz8OFNGwLCB/BwtxSg2Hy/29a9B2ED7P/zbIcdSObHm1aAB5ff6SRfZ2+sBWLCVis21T3OQOFIQkDOrQsjGnOgo0pmBGDCckF+bdDT8CcMTCbyYKpMJmQNlsxZq9EqKYd42krbHY7GhoaYLVaMTw4iEzfAVRnZjGjm+CdiUGbi6HUAgzOASOmYjhcpSgqdspzy7FbOBzOsVAoKCiQAEqr1Sr2LrOzsxJ+aBgG6urq0NzcjJKSkhxvXsPIhr3U19fLgoVhGAI+sm3jeI/jbs43ySwmEEqgmzZUJytaDACn9mz0+XzIZDJiVXCO6h2Hdi6Bjm+zUkHH+++//y1npSzV/83KZDIYHBxES0vLOWU8koYejUYRCoXw3HPP4b777oPX60VHRwfuvPNOtLS0oKCgAM899xzuvvtu7Nq1CxMTEzkD5tbWVlxyySW46aabsGHDBvHyePjhh/Hd734Xvb290DQNVVVV+OxnP4sdO3bkdBahUAj79u3Diy++iCNHjghgaBiGpLQyHGbTpk1obm6G0+lEMpkUyePExATGx8eFLUdpiKZpwv5jMjQZjUwqnpqaQl9fHwYGBtDb2yvBH9wHDuBoOE6Arby8HA0NDVi+fDkaGxuFyUQTb05mfD4fRkdHMTY2JmEcKsBHlkD+BIIDBw6kCZaWlpbC4XBgfHz8hHsolUphZmYGPp9PkrMZ6ECQkZPdfKmc6vXElXOCihwM8DtZlmQDqgMSAozqxECVp5EB8OCDD+LRRx9FJBJBQUEB2tvbcf3116OxsVG2nT+o4GSAkxqyPw3DwLPPPouf//znOHbsGFKpFEpKSnDRRRfhX/7lX3D++ee/YVDLMAwBqCKRCH7/+99j3759mJyclEEUwcb169fjvPPOQ0FBgUxYeB8MDAwgFovBbDYLE8TpdOKSSy7BFVdcIUngyWQSJSUlqKqqQmdnJ8xmM2ZnZ+H1ejE/P48VK1YI2Jxf8/PzGB8fx0svvYRnnnlGGI1MeVfldtXV1ejs7MS73vUuXHzxxVi2bJkA3a9X4XAYR44cwa5du9Dd3Z3z7AIQVkhNTQ06OjpwwQUXYP369Ysahb8VxXPJcJfXXnsNQ0NDAsCT4UcmC8FcTupVcJ+S6Pr6ejQ3N6OhoQEej0cWNv4cZRjZ5PqRkRFps3w+n6TWk+VzsrEjmU6coHKy0djYiMbGRjQ1NYnhu1r/8z//g09+8pPIZDK49NJL8dhjj8n/TtWfZTIZ7Ny5E1dffTXm5uZQXFyMl19+GS0tLWd9Dr7zne/gP//zP4V1sW3bNtx+++3o7Ow8623m7zNZRpRgPv3007jtttuk7+N9ku/FZ7PZUFVVJQEVXKxgAJPq30fGiAri5IOGwHFGIZ9Z/k6wRQ11IPjF53cxawu26wQZKBemJxe3k89QzGc25rMbF9v3Mznn6j3EfolAq+rvRTCP0mDVc5JsNO4/WYrT09OIRCLyWvZJ+b7AKgOU/aG62JV/vKpMmX16KBTKYdtRXaDKpAmIEazi61S5uSpPBo4HvPCz1WdNXTTjIg9/VxmLKtOOld/HcjGZP6vbViXvbEvU/6sAJmXS/FkFTNm+EoxjoBKBEXpqq+eFn89jSqfTwkzkuQ6Hw6itrc3xuqQklOxLLv6SDZUvz6b8mtYpxcXFJ1gDWK1W6TdUqTFBUt5jJlM2mEaVjfOcq5Jzvpb7oloGcAzI+0HTNPHJoySfx6Eqb/hZfA0B6enpaTlnZNuyn2ZqMO0BKK/lOI+A5uzsLMLhcE64kwqSC+Nybg52iwkrypy4ot6BFU4zTDBgBmBDBm4kYUZGJM4WfXGkxlASpE+sPFZ93l/TANIZHVYT/3YCvfKklV54tQZTDlTJO4HgZgpZJiYTqtMwACOzIMc2Q9c0hO0uTBeUIjKbQIMRQHkmDd3IhtnoyEpbQ2ng2XQpJkuXwbrA5KVFU2FhIezRAMyBEVijIUTDISRSacTn0wjG4piMziFlaIjbihG2FqGoqFjaNN5fTqdTUsvZV5lMJgmR4XxrenoaExMTMibiYirvPVp0Wa1WGS+qIUpk4ZMRq2maANoWi0WsBbgoxDahoqLida+J3+9HOp2WUJnFamJiQmTj50JVstB3vONAxyV59du41BTWpVqqM6lUKoVAIID6+vpzkl7NKi4uzhkYb968GY888gjS6TTGx8eFEWC1WrFq1Sp85jOfQTKZxOOPPy6DIw5wt2/fLoAjkAVfrrvuOrS0tOAb3/gG9uzZg4mJCXzrW9/CwMAA7rjjDhiGgYMHD2LPnj04cOCAgDGk9lOWunbtWmzYsAHLly+XkJs9e/ZgZGQEXq9X9pVBLUyzbmpqQklJCUpLS9HY2IiamhoZ2M7NzaGvrw+vvfYajh49iuHhYYyMjEhioJpS6Ha7xZ+xvLwczc3NaGtrk7RpMvwIMk5MTMDr9WJgYEASSQlqENwjW5QdMSeLnAhS+k2QkbJMVjKZhN/vR3l5uSQpT0xMiJxcDX5h5882i5MqADnSYQIslIjzZ+6rCjBysEBGh8pEJAuU7+Exc7KeSCTwyCOP4IknnkA0GoXD4cC6devw0Y9+FNXV1TlSO05CyLgho0GdEEejUfzsZz/DAw88AK/XC03T0NzcjBtuuAGf+9zn3lQvQLfbjVdffRW/+c1v0NPTg0gkIqBxWVkZVqxYgbq6OgDA3r17ZaBP36xEIoHCwkIBM/j+oqIiJJNJHDhwAEC2jVBl+s8991yOoTsDSILBIJxOJyorK0HPxL179+KJJ57AwYMHMTw8jFgsJs+5xZJNESSQWVNTg5tuukkGjq+3KpxIJNDT04OXXnoJhw4dwvDwsHhCAccHl/R/3LJlC9auXXvWqfVnUplMBpFIBJOTkxgaGsKxY8fQ19cnzwUBRsrfVZCd0mjKXhsbG1FfX4+WlhY0NTWJN9+ZpnGfbdFvs7e39wSpdzQalWdpsWK74nK5xDqiqakJzc3NaGpqQk1NzRmpNBKJBD7/+c8LE0EFHIGT92eUa11//fWYm5uD3W7Hb37zmzcEOH7sYx/Db3/7W6TTaTgcDnz84x/HrbfeelKpFYshEGT+RKNRCcKanp5GMBgU70pKmePxOHw+Hw4fPnxC0AsASVpm4BaQBftHR0cBQIA+MppUII3nJx6Pi8RRZRSyX2CfxraZCz9qqjcXgbiIRqa5yjxTv94ORcYxn8N4PI6+vj65f9im6LoucnI1nIbXk+2ruh3VmkQFpQgasc9SWYcEi1RpL0FFAn3s89TrSFahel7Va5x/zOrrVDWBCqyx8q/VqWwPAORcb7U9fr1J98nuifx27nTvHRWgVO/DM92O+vp8qTy3q97vZBe73e4cL0eOHVQ/6ZKSEng8HpSWlsLj8UjqMv0YCwsLxVszGo0KyE62JPtsgjZ8LwFIjo3C4bBI7WdnZ+Ve4f3K+1AFrQli2+12WWCOx+NyDJqmYfny5TCZTLLAFwgEhCnJ54OsUAA5ShmCQvF4HC6XK8fzdWZmBsXFxQiFQiguLkZpaWlO0jb/Rnsf2jIRnOZx2u12tBRbUVFmgUlPIz4fx1FfAtGYFfVOO0oKbAvXMgUXDBgALDBO8FBUIUQDGWEp5ul55DVALuOQidU2kzkvAOb0gMfj/o0ZYVpm/R+PP1NpZJDKZMXaVi0LROqGBhPM0AwgAx2zuhlzyTBKE1HUWgwUIwPNOA5amrUsYJk2gFdGAvCOzaK4uDjrre8qQU1FOcy2AlhtNqwoc8FTUQRzURlc83G45+dQGomg0RXHXDqNsdk07EgjvMCOpayf9zhtCaqqquSZcDqdSCQSMJvNiEQiqKurQ2trqxAXGBTExddoNIr+/n7xeW5ubhZfaI4/SktLxQqAwZj0GOVCALfPscrpFO0ZFuuTgRPnN+eiUqnUOZ3bn20tgY5LtVRL9ZaW2+1GIBBASUkJCgsLsX79evT19WFmZga//OUv8alPfQqlpaUSpkCZhwpiTE5O4nvf+x7m5ubwgQ98QKRNJpMJW7Zswd13341vfOMbeOyxxzAzM4N77rkHR48exQc+8AH09vaiu7sb09PTmJ+fF/NjFWxcuXIlSkpKMDExgX379gmLb2xsDLquiym7YRjiI1NYWIiKigq0trZKqi4ABINBvPzyy3jttdeE9UTPSE5UyEDjpK6srAwtLS1ob2/HsmXLUFlZKfIyymImJiYwPDyM4eFh8QZSJzZq0AvNyBkywU7f5XKJLJvyTLW4Cj89PY2RkRG88MILOHjwIMLhsACNNGxWAU7uA2VtZC+SwUhglhNYSqEIvjLVlNvNZzoQrOJKvSqpVlfuOeh54IEH8Mc//hGzs7NwOBzYvHkz/vZv/xaNjY3C3Mv37lIlfKoca2BgALfddhueeuopzMzMoLCwEGvWrMGXvvQlXHbZZWf1THDgHIlEMDMzg+npaYyPj+OFF17Azp07MTo6KoFGZCsR3EmlUhgeHhYmE0Fdyq3IFC0uLobX6xXGKROwA4GATMocDgfC4TACgYB4fxF0bG9vh6ZpmJiYQCaTwfLly7Fv3z7xICWrh/ceAcy1a9fikksuwSWXXAK3242enh50dHScdIBE24Pdu3fj5ZdfRm9vL0KhUI58hivmnZ2duOCCC7Bhw4a33MCb4HUwGMT4+DiOHTsmsvHJyUkEAgEBGAkMAJDnj/d+VVUVmpqa0NDQgNbWVjQ1NaG6ulpA87capOGg/ejRo+jr68PY2BgmJiZEgrSYFJpslqKiIpSWlspEoLGxEcuXL0fzgu3Em8W+vPrqqxGJRGA2m/Hd7373tN8XDoexdetWzMzMwGw24ytf+Qre9a53nfV+bN26Ffv370cmk0F5eTluu+02fOhDH0IsFkN/f78w9mdmZiQQiwFYs7OzJ/ggkvWmeuOpYFW+fJrFNFveH0VFRaisrMTc3By8Xq88G2Tcbd++Xdj5brcb0WgUXV1d6O/vFybbRz7yEdx4440ioVUZjW8XoPBUpTIRCcapsmbVCzUWi2F6elrAEXrZDQwMoKenJwdIJHjCa0JwjmE4ZJERgFR9AlUwkmAhi5NRlaGZDxTmg7SczJ4MOOR7uF2Vkci+kv9j36Bae3D/yAxU93UxNqT6Gr5HZcOybVaZh+qEnAzM/GPh/1V7FVXFwH3gWEk9T/zO99pstpzzSvA2/3gIxqnnl9/V4yTQkE/64DbITl7svfz9ZJYDqt9o/vXj+MXhcMDtdqOiogIFBQUwDEPGLGRrcYHY4XCgpaVFJNpUoXB8xM+jdJxgIxnckUgEU1NTOeM2jkl9Ph8cDofsx4oVK1BQUACv1yttG8MiOWaMRqMneI8mk0kJuuE4mO0i7UY4nufzFgqFBAw1m80oLS1FIBDICcmqteposAI1dg0FFitSuglDkXm8EprH0YgOq2UebS4Lznea4LAYsBEhlBt64bt+HIWUVGmcTLe6ENoHMzIGoGuqzHqxUsF4A8f5i4uX+vkmBeg0w4AVOuyaWV5jX2A8GhqQgRkFxkJ6dkaHNa3BpJmyAGY28jr7WgNIprNp2Aw3WuEuRE08geLJMEy2AoQ1G14MlKC6sgoOWyEajHlUWcyw1DVBtzlgC/rgmYuhLG1Fj14Iq80u9zYlzlzMoqeoatMQCASQTCYxNjaGyspKVFZWwmKxYGZmBmNjY0gmkxK2uW7dOvT09MgCUHl5ubTzvFc4PygqKsqxENG0rJcun09VGfV6pdpILFZse94pfefbqZZAx6VaqqV6S8tkMqG0tFR8Wi6++GI8/fTTCAQCePTRR9Hc3IwLL7wQ09PTePzxx3Hs2DGYTCbU1dWhpqYG4XAYwWAQR48exe23347Dhw9jx44daGhokIF9U1MTvv/976OxsRE/+9nPMDU1hT/96U94+eWXUV9fL51DWVkZmpqaREbd0dEBj8eD4eFh7Nq1C4FAAH6/H2NjY9JhUipUV1cHt9uN4uJimXzTpDiTyWBkZATd3d3o7u7Gq6++mgMcUaZis9mE5ed2u9HY2Ij29nZ0dnYKkAlAwI6xsTEMDg4KcKl6wAHHw19UcJHfuWJMb8nFZLKcFASDQUxMTAhja3JyEl6vF729vbK6nO+3woE0mTJMUeR3t9stnpMqg5Gr7mRTcT84GKdEitI0SnooreFKar4XF3/+1a9+hT/84Q+Ix+NwOBy4/PLL8c///M+oqakR8FIFF0/G0kilUti5cye+9a1voaurC6lUCm63G+9///tx++23n3LVlNecwQwEFglYELjlwGloaAivvPKKhKDweBwOBzweD+rq6oRltNhEkwARGbE0ruekwufzIRaLCUOCE2kAKCwsRFVVFQCIUXw6nYbX68XQ0BAGBwcxMjIioDDZQyrQuGbNGlxyySV497vfjerqapkgqWb3aqXTaRw9ehQ7d+7Evn37cqwGgCyAXFlZiZUrV2LTpk3YsGED6urq3tJV5UwmIxL14eFhvPLKK+jr64PX64Xf75d0ZZXlRAlRaWkpSktLhaVMS4Rly5ahurr6hETSt6Li8Ti8Xi8OHz6M/v5+YS5yvxdjMXGCwHairq4OTU1NWLFiBZYtW5aTAPtW1cMPP4ydO3cCAC688ELceOONp/W+2dlZfOxjH8PAwAA0TcNVV12FL3zhC6f1Xkpk+QxGIhFce+218Hq9srD0F3/xF3j88cfx8MMP53i2MfiBYBYBDrUty5eKsq3iM0GwWq2amhps27YthwXucrly2tOSkhI4nU48/PDDuOuuuxAMBmEymfDss89izZo1+OEPf5iTRh2NRvGFL3wBR48exdGjR4U5+ecq9hdqirGaxs6/kSnI7/xSwcX8RS6Vwad+5/WhnQivQSaTweTkJMxmM/x+P0KhkDBjCBhTokzwC0AO4EcAKx/44v9UQJDjBlopqAw61XtQ9Rxkv8d2msdE2bzT6ZT9UuXJAHJ8FdVzxGug+nMulobOYr/O/c9vN/J9OlmqjJxSZ03TZDGMvxMs42sIquWDg+pxEDTmzyqTl/uognfquIhACPsOwzDEC5WLZjwn/Dx6dBOwVxmufr8fbrdbFmjz2asqGM4xj3q98s8z91tlxRLM5cI0gVVaE/D9vLa0g+HCL88BVSTqWMxutwvgR1Z7KBSSIBwC9tzO8PAwioqKhL3GcBmbzQaXyyULxrQjmp6elvueoA2Pbfny5RLSwfNpNpsxt5CIbLVaEYvFEAqFEA6HhX1tGIaEBs7NzSGZmEOdJYE6+wLgr+uos2tYU1eAkdk0XvInsMJtRZ1moMxkQSEg4StS5rzvuhmZBaCP6dPWk3R9JuiwaOacBOvXL+ZX6yf8VcdxlqRu6DBpqndjNqzGYjLL79n4mOPv15ANmSk0A2kjg7RhQIMOi5b9ezoDmEzAfAZIZAzU2jOYLTTBYjZQY0qiwWJBkQVIzidhZMxIJufRF5uFy1GAqjIr5o04wihEAebhrKqDM+rHXNIE/7wd07G4PDOhUEieaQbDTE1Nyb3MeQnHwhMTE3C5XLDb7bLg4/P5xDqqrKwM9fX1GB4eRjQalQA99h0qMx2AWI6wXWcbQ1b/9PS0eIeeqtiunYzpyPaHzEsqDc6lldk7pZY8Hd9mpXo63nvvveJ7sVRLdSaVTCbR1dWF9evXv20o2DQVZhDHQw89hGQyiZaWFtx0000Ih8N4+umn0d/fD4vFgo0bN+L//b//h8OHD+P+++8XY32Xy4UNGzbglltuwcaNG2UyTyDj29/+Nv73f/9XVkVNJhNWrlyJ9vZ2dHR0YPPmzVi3bh2qq6vh8/lw6NAhYVnS9LiwsBDJZFL88yg1bWtrQ3Nzs3xmMplEf38/Dh8+jFdeeQU9PT2YnJzM8dYiq5FAY319PZYvX47Ozk40NjbKKnAikUA4HJaQhqGhIczMzMjki/KFgoIC+VJ9TjhJraqqQkVFBUpKShaVOKZSKenwGTTj9/vl2jAdeX5+XqQwGzbuLAAAIABJREFU7EwtFotIh+iJxJ/JYqQZPCduKssHgJwT4PgEjHKG/EmdCqqxOLEgiMtzYTab8eMf/xgPPPAAZmZm4HA4cOWVV+LLX/4y6urqzkjuGYvFcO+99+Kuu+7C0NAQNE1DXV0d/vEf/xF/93d/J1IrMhYpo+RgmWmwnMyqk1v6NPG9w8PDwsJlORwOVFZWorm5OUdGznuT4CJTrVWfLjUtWz3nHKj19vZicHAQ0WgUlZWVuOiii9DR0SGy7cnJSfz617/GCy+8gNHR0RzfHF5/j8eD1atX49JLL8W2bdtQX18vflZqqe3Q/Pw8Xn75ZTz33HN49dVXEQqFZFBHgL+hoQHnn38+LrzwQqxcufItBep0XReGaV9fHw4fPix2ClNTU4hGoxL+QMaN1WoVS4DKykrU19dLgnxra6skK/MZeCsqHo9jfHwcR48eRW9vL0ZGRuDz+SSc5mTgItmyNTU1aGpqQltbG1auXImqqqpzaYSOpqYmSTk9ePDgosBYfn+WSqVw66234u6774ZhGDjvvPPw0ksvCeOMXsKRSESSwdWUcFpCcIJ7+PBheVYIphN4yQdCVBBRBYv4bLA9JmuIMi+Xy4Xu7m785je/kQUAs9mMjRs34p577kF9fX0O+/B06mtf+xr++7//W9JrTSYTVq9enQM+Pvzww/jBD34Au92Op5566rSvCxdOyGhiO6eyOdmGqZNAfqkgTj7TjtvP/zn/3mUbpxbPP49XBcHGxsYQi8XEL4/gD5le09PTOeFLatCHui/qNafdAYFCLjSo/TIBPSbvcuygApj5qoD8z1dBp/xzcTJW3amu3en+/1Tt1GL/eyMS+td7X/51Vd+jMjfV8QPvK/aDfIbUPpMLmQTO2H8WFxcLu5Cfle9FyfEK74OJiQmsXLlSFlMpp+Zzryo3yIr0+/2YnJwUf3PaCuWPjwii8P/AcSsL+qCSsUVZKz0QVWsbPm/0jOSXyvSkJJz3JxdWCBQ7HA75DKp9ysvLpX2k9FrTNLHtIYuasnF+HtU6HOOonr6UVjMsx2azIRQKwe/3y+ImQdNwOAwASMVjWFOYwhqHgVgqjdYCoMwGFJuBpAHMpIAiM1BqJSCXK1c+ocxKMrWelSvryCZQm09yyx5nRBIA1HFyzuNCRLWULoAlU6yxEP6ChS0cf4cOHVmA05Ld1Ry+pLaw/9rCLmSQ9YkEACuAjAakTYCu2RDUCjGQKUAqlUZ/PIN0Ko16SxpTiTSmUxnUlBTBYzdhwihAv1aCwoJCtFniWFYImJxlmIUF9nQCjsw8Zkuq0JMuRDgSkbaf7Up+iBDL7XbLFz1zk8kkHA4HNE0TmwtN01BZWSme1gw7slgsaGtrE3IGmcfcDmtmZkY8k6nsisez4ChtrE5V6XQafr8fmqahpqZG/s6+jUQYhtQAEEbu6fiUvxm10Me842iWS6Dj26xU0PG+++6D0+k8x3u0VO/ESqVSMkk7lxPK/AoGg5iamsLw8DC+/e1vY9++fTCbzaiqqoLL5UIwGEQkEkFjYyM+//nP47rrrgMA7N69Gz/96U+xc+dOBINB2O12LFu2DDt27MBVV10FXdexf/9+PPHEEyIrGxoakomk0+nETTfdhM9//vNoampCJBJBV1cXfD4fJicnMTo6Kitic3NzcDgcqK2tFVnbypUr0dDQIAPg2dlZHDt2DEeOHMHBgwfR09ODYDCYw8grLCyUcBbKsNvb29Hc3IyKigrx7yETbWhoSIJqOFkBIAb8lCXb7XZZwXe5XMKEo5H5Yj5N8XgcExMTGBkZwdjYGKampoTRGAwGpUPmZEv1pqqpqRGAkZNn/k6Tdk64OIBW/a1Uc3xO+NSAG5Yqc2apE3sCrKrvosoa+fd//3f88pe/xPT0NJxOJ6655hp8+ctfRnV19WnLQCn1/dGPfoT7778fwWAQFks28fqzn/0s2traZJWW/mwEEvmdLCYCVqr0i0BDJpMRmWssFpP/MRClra0N9fX1MvDnMfL6EHDNl9DxGFQZncpQKCoqQk9PD1588UX4fD40Njbi/e9/PzweDyKRCHbu3Indu3djeHhYTPA5QamoqMCKFStw0UUX4YorrsDy5csXBRrVczk+Po6f//znmJiYwNDQEGKxWM6+8dm6+OKL33LJdDqdRjAYhNfrxauvvirBN16vF8FgUMATgt8EtGkNwJTFFStWYMWKFWhqaoLb7X7LPBjn5+cRCATQ3d2NY8eOSZhVKBTC3NzcorJoFVzk/i5fvhwrV65ETU3N224l/uabb8YDDzwAAPjWt76Fz3zmM4u+LpVK4cCBA1i9ejXm5uZwzz334Ctf+QrS6TSKi4vx9a9/XYKswuGwgI58FlVGhGrPQFCAZTKZ4Ha7RdbHtpdtruqFS782ekWxLaa9ASVlZrMZwWAQ1157LXbv3i2T/mXLluHOO+/Eu9/9buzbtw+7d+/Gxz72sbMa833xi1/EQw89JOCjpmlYt24dvv71r6O6uho33HAD5ufn8YlPfAIdHR2ysERwg0wylXnI86WCamdbvO9U8Ic+vmraKdt5/p1gA8Elq9WK1157DcPDw5KaPj09ncNS5OexvVQnwvStAyAgEdkqKrOS90Y+cJgPMvJcq99Zi52vU/0tH5Tl3xaT6qrvVZ9p9X+LvV7d1mLtdj57lD+r+7gYszL//eqxsM862fbfrMoHbF8PwOWxEMRUU9L5Nz6/KmOZMk/Khwk4Ug7Mxd+amhqUlZXlLMSqC5UMSiHQwmeO4BsD+lRZKBcyVNk6QUIAYrnDZ4GLMFw0U8cN3B91XKGGW9HmhmMsqnXKysrgdrvhdDpRU1MjoCdfS/9im82GZDIJk8kkzx69jrlvXCwvKirC7OwsTCaTgFCZTEbGw4lEApqmiW9zMjGHNi2GCxwpVFszKLEYKDYhyxBc0B8XmI8DdLnK6lzwkUnUBrIvNAHihWjAgPkkkujjMmi1Tj9QRJfc6uMgYsYwQ9NO3EoGxyFN0wJAmslk99MMRQ5uzn09/5eABdOF5UhXNMCobIJpcgiRAjf0VBpaaBz9swbm02nMzcXRYktjptADf0kdpmNxVCCJRlsaZVoaJY4CZMwWJB1uRIvKgfJ6TE9PIxwOiyfnzMyMjKNMpmwKO+0IdF0XgJohLar0emZmBoFAAJFIBOl0WhbsaAVgsVhQVVWFNWvWCKmCDGpd16UPo5XG3NwcSktLsXz5cnmuCgsLc/yZee+rbcb8/DzC4bAobjiu5yI5PZs51lLH+acKn3kzayEcZwl0XKo3Viro+OCDD/5Zbt6l+r9ZHFC8ncowDMzMzCAYDOLZZ5/F9773PQwMDIiPo8PhQFlZGS666CLccccdIvsEsmlhP/3pT/Hb3/4WQ0NDMAwDlZWVuPzyy9HQ0ICDBw9iaGhIOgeuSofDYZhMJlRUVGDHjh3YunUrBgcHBWzMZDIoKipCIpGQgRQDVtrb21FdXS2D6JmZGfT09OCVV17BoUOHJOgDOH6+1YCUhv/P3ntHx12e2eN3qkZlpNGMRl1Wc5Gb3A3Y2Ma0ACFxcGh7QrJZAgmbTSNhvymQLJyzgUB2k03ZkHbCgcRJFgJZlpgWB2zAvfemOuoz0hSV6fP5/P4Y3UfvjCWaIfH+Vs85c2SPNJ/51Pd93vvc596aGsydOxezZ88W3Ue2efl8PnR2dgqQwMo3E0O2LXORxgTN6XSivLwcZWVlUrHPjkQigWAwKCAjGY1kM1L/B5hgWDB5VRk6FEMnkzEvLy9DZFldyHMBpLJPuLDhAkVtn80GGPm+yWTKYHBmA4zqi+6M9913H37zm9/A7/ejsLAQH/3oR/H1r38dlZWVb8tZTtM0RCIRHDp0CA899BB27tyJcDgs4PYVV1wBi8VyDsBIxqLa5gQggxkDZDIoBgcH0dbWJixWGvzMmDEDixYtEjmAbHAxu6WNSQ7PN53P2Y7Jf9PYiOfqyJEjeO6553D27Fm51myjJqDFdvfi4mLU1tbioosuwrXXXovly5dLu9pU57GjowNbtmwRIya1jdRms6GqqgpLly7F+vXr0dTU9L4VRQgy9vT04NixYzh+/LiAFdTgU8F9ajHy2acG4+zZszFr1ixpz38/nApHR0fR0tKCo0ePoqWlBV1dXRgcHMTw8PCkOnBGo1Hcocm2bGpqwuzZs8V44EKPY8eOYfXq1UgkEpg3bx527twprf+UI2BhhOOW3+9HZ2cntm/fLtuZMWOGtPJNBQqp4xH1y0wmE86ePSsLicrKStx4443SJs/FtdvthtPpzNCjfSdsxPvuuw8//vGP5TnIy8vD3XffjW9961vyN2wTN5vNePXVV8/Zhq7rAlIMDQ3J+SFziiDGn/70J5w4cSLDeMvpdMJsNiMSiaC8vBzz58/P2LbBYHhLIyy1BZiLRC74VFaUKu+hshvJyFKZnJxPgMxcxWAwoL+/H6dOnUJbW5uAi2yHVtuKsxmA/C7OTWSmEFDhe2xzV9vis8G8qcDEyf6vts8T3CGIRUkPFgy5SM7NzZV5juAV5+Di4mI4nU64XC75PhbvsuU1VPYa/60upCdjSXK+muz36vFlSwYQlFWZmwCkxVhlc6qfneq8chwG0gVOAMKYIgDOZ5sFXdWQRy0mqEVPALI/LICq+6wCodnXcjIms6q/mH1fqPeeei3UbfA54XOTm5srUj3M4fgMqYVJXdeFJUltZurX5eXlyXnmvhGs43NK5ic18cjCZS7B88EX2ZkEHykFoUoNsOWcx8NcQzUDJGDLQgJbo1n8prQF99VsNqOqqkqciQmoUp/W4/FIrkWAqjgWwDU2P2ZadNiMGgzjZjHUPHx7OosTzEAD0iYrBB4JyU8AltRkTLdIq6zEqbad8XZq4vsIIPLtpJ4GTNP+1YZJjGwUYJQ/TRPfpmc7cpvS29VgwAgsCMCKXoMdw7nFKMm3wWU1YiS/BMlkAqVaGImcfPQPh5EIDcEUGUZX0orunBIUu1ywWiywjvhQYtZgt+Ugp8COqK0QtqpGFDudKCkpydA1LiwslPyYACQA+T0NjNSxkOud0tJSGAwGdHZ2YmhoCKlUCk6nEwUFBYjFYujv75f3ysrKpBBYXFws4D7vn46ODjFBLC8vRzKZFEJCTU3NlGMAACGDsDDOnI/jNvUeuS7SdR1DQ0OIx+MoKCgQjdK/QkyDjtNxfjENOk7H/4WIRCLo7u7Gpk2b8Oijj8Lr9QKYaIX+1re+hY0bN55DVY/FYnj66afx61//GgcPHpR2ELvdDpfLJckWndFmzpyJF154Aa+99ppo/C1evBgLFy6UlpF4PC4TkcvlEqYZE35d1zE4OIiTJ0/i2LFjOHbsGM6ePSuOg3SyVlsHGhoasHDhQnG3NhqN0mbT3t4u7CoylphoUoeIiaXNZhO32/LycrjdbmHhqME2A6/XC4/Hg56eHvT29opGI6vFTOIJbrL1W22XJpOHDqZsr8nWKlITdLXKrS7i1MWR2tbGa622+TBpmOo12SI/Go3i3nvvxe9//3txqNu4cSO+8Y1voKKi4pzzRNbnyMiILGQHBwcRCARw5MgRbN68WcyDrFaraNwBOAdY5THzWNmGpbbgcdFptVoRDoexf/9+eDwejIyMiN5MeXk5Fi9ejDlz5iA3N1eScIvFck5rp9peTX03Aty8X7L1KtVFZCwWwyuvvIInnngCe/bsQTAYFIYPjy0/Px+VlZVYtmwZrrnmGqxbtw4ul2tKsC2ZTKKlpQUvvfQS9u7di97eXgG0DQYDCgoK0NDQgDVr1mDt2rUC4r/XoWka/H6/mKYcPnw4gx1IkFEFc8lELisrQ2NjIxobGzF37lzU19fD5XJJUvxeBceSw4cP49ixY8JuZnt9dj5mMplgs9ngdDqlLZpFjMrKyguKxf5WQSCB5knXXnsturq6YDabcdttt4kmVLYsAcccAgqDg4OyTeqKqTIMBI8J5HBcoxETReo///nPo7e3F0ajER/5yEfw+OOPZzCGzzeeffZZ3HPPPejp6RFgYMWKFXjppZeQk5ODaDQKn8+HoaEh3H333bKgcrvduPbaa2XhprKmVfbWm8WhQ4fQ1dUlYAGBDrvdjuuvv17GVL6vuozypRYtVNYmI9sEjAwTlbGVff05zhBc8Xg8aG9vl6IYjcrUVrlsMIwacASeyJ6i3qzNZptyMclQC2DqHKVKlvAckBlTUFCAsrIyFBYWorGxERUVFSgrKxO9YuYwamQDVmrbL8dpyldwjlOZ62829qjMHM61k7EtVVApmwGoXsvsvyOAT2BL1TFTt61uLxv0V5mjZNZxm2THcdsqI28yQJnXSv2d2tLLHEPVbFZbsdV2ezKXPB4P2traRPuWkhosAGefq6nAXZ5D9Wf2vabud3YxUtV2VOdsvsfvUSVYmLNR35rHSUCSzGB+X15enrAVmVuoMixq3kH2r1pUJWhDdjQlBPj9bMVmDk7Jm7y8PMTjcQHT7Xa76E2PjIxgaGhIGJmcjwnGplIp6bBpb2+H1+sdH1uSWOOyYh164EzFs9iG43qfwKTgXTomxjHV3iWqAb64BrvZiHzzBPBIh+o3N4PJdqqZCNWcRgeQGN8DI9JmNEY900RG1yGMRwN3QJtQg+TfWUwT/+cvyZyMAgjDjBO6HX5zPoq0BPREDEkYMJZjR9xZjUK7HfkjAyhMRWAzm5AymNAf0+FJmNEV0eQ6OhwORMNh6Mk4cgsK4XK7hZFaWFiIioqKDM1Vt9stY4DRaJSuGVUzNB6Pw2KxSFFA19ParqWlpbBYLOjv70cgEMgAFXt6euDz+WReVw2xOL/ZbDZ5fqPRqBTpqS9pMBhQXV2N4uJiydN53+q6jlgshsHBQfj9fskvCgoKUFVVJc9VIBAQqa/8/HwAkK4ngvB/pZgGHafj/GIadJyO/yuRSqVw7NgxfOELX8Abb7whyZrL5cIdd9yB++67b1LtDV3XsWPHDvzrv/6rgIkAxGFv0aJFWLx4Ma644grU1taip6cH3/zmN/Hyyy8jEonAYrGgvr4el112GVwuF2pqalBeXo6amhrU19ejuLhYkr5AIIDDhw/j0KFDOHHihGjhMeGkpgdb7ObNm4fm5mbU1NQIAOf1etHV1YX29nYMDQ1hdHRUmH8qOEXWWV5enrTqVVdXw+l0TipSTPZLb28vOjs70dPTI2AjtRlVFiLBK3X7BBnJ5CHrQgUZs0FEJqgEGdUKPwBZ+Ge3STOpJcNDZX/wHPD1doCeUCiEb37zm3j66afh9/vhcDhwww034N5770VZWRmSyaRoutElkUYuqokLWWanTp2S9sScnBzU1NRgxowZklSriwkeCxMWgrM0UFE1w+LxOA4dOoRjx47B7/cLU6CkpATLli3DwoULUVBQIJ9RXSzJWmQSTnaQyhx6MzMc9Vnzer3YunUrHnvsMezdu1f0kdjSyPv3sssuw/XXX49Zs2ZNCWqlUimcPn0aL774Ivbt24e+vr4MfUan04mmpiasW7cOq1atel8qv7qeNgTo6enB6dOnceDAAbS2tqKnpweDg4OyaCLISC0qPlcNDQ2YOXMmmpqaUF9fj6KiovcUxNN1HQMDA9i/fz+OHj2Kjo4O9PX1ibtodlAvsry8HHV1dZgzZw7mzJmD+vr6t2SiXShBPUXKDwwMDMi45PV6xeH0wIED6OvrAwABVbPNL9T2RwIyBPCANDNx9erVAii6XC643W6UlJSgtLRUWp3JwFGfkYsuugjHjx8HAGzYsAGbNm0672OPRqPw+/3YtWsX7r//fpw8eVKeiby8PKxfvx719fXC9lC1/bxeL44ePSrbcjgcWLZs2TnfwTZQLgYJMFB+QzUpe+qpp/Dzn/8cRqMRGzZsQFtbG4xGI55++mnYbDaRdSgpKZlSh0oFiPhiC1u2wQswASyqpiIWiwUnT57E8ePHZTFHcJmhgjdktnGeVOehcDgMi8UyJUtNDZVtSIkJFmkqKytFk3XVqlUiwTHZ681C13X4fD4kEgkMDAwAwJsyYVWZDAb1MVXm4GRtweq/sw1spnov+/+TtSCrwKH6/ep7aiv1ZJ9X/8+/mwx84/sqoJe9r0ajUcYBzrtkP3LuVIE/9b5RGYZqZwQ7JjhvqsAkvzMSiSAUCsHv98Pn8wmIQA1TVZsTmNCbVkELAqtsc+Y+8rkhMK4yQ1WgdrLzqwIraocJzzWdgtWuF1UKgOAiAMm7DAZDxpjhcDjkOeF3GAwGedZDoVDGeabGK+fXbDYnr6H6/BkMBgEqmcNoWlqnnIY2dJHn9bLb7bKNsrIy5Ofnw9vfj4IxH5r1ISwxjyJ/wnxaiamYiHKXZfwmCSChp/UgfSkDUikdLpOOfFPatsVqSJvKGHHuvH1umDKgSY4CfC+hpw1d8sb3O6Knt29FJjhJNiRHIN00vs0UMKYDIymg3DzeQq2Aj8ZUGtQc1YC+pAWvh23oS5pQZjUgz2oGzFYMxHX0JdJAcV2BFSXmFCzQAYsVUVsRusIp+McBZgLW+fn5GcB4SUmJtM/n5+fLHE5mLbXIVVa7wWCQOYDgvt1uh9lsFvCRZpuRSETWS8yFU6m0CSVzbQDCzOW+sbWfUimBQAAGgwEul0u6vFRTNlXqiWs6usBT4oO5IwFGr9eLZDKZ0UodDAYRDofflmbkexj/60DHaffqCzjeqlo7HdMxVWiahvb2dtTX11+wrXasujY3N2Pfvn0CHobDYTzzzDMIh8P48pe/jLq6uozPhcNhBINBaXtjm1Q0GkV3dzdWrFiB6667DhUVFWhra8OpU6ewYMEC9Pb24ujRo4hEImhvb4fBYMDdd9+NpUuXoqGhAQ6HQ87VyMgIjhw5ggMHDghgwPYWMjWKi4ulFXPZsmVYtGiRmCCEQiF0dXWhpaUFXq9XGGVMjAm0sYpWUFCAoqIiuN1u1NTUyGQ2GXNheHgYXV1d0ira3d2N7u5ueL1ecWxTE0cyuqhDxpZpt9udoWtFx1BV48zn86G8vBwAJgW3DAaDJPNMeNXEnwAjE0cm6HxNxWB8s9D1tO7i/fffj82bNyMQCKCoqAjr16/H9ddfjwMHDsDv90v7YbapC6v3HF8HBwfR3t6e0f44c+ZMAY7ZmszWQe47z4XKcORPLgi6urqwfft2aTM2GNK6RPPnz8fq1atRV1cn9wCTIALPZG9kO5y+k4jFYujs7MRzzz2HV155BSdOnMDAwIAwiXgPrl69GrfccguuvPJK0dCZ7LyfPXsWzz//PHbt2oWBgYEMoLGkpASLFy/G1VdfjaVLlyInJ0fGIdWM6HyCLTYdHR3Yt28fTp48ia6uLni9XnEX5n1PHUrqMc6cORNz587F/PnzUVNTI0nxexWDg4M4ePAgjhw5grNnz6KnpwehUOicRTWBfxX8bG5uxpw5c+B0Ot8XFuh7GbFYTBbngUAA3d3d6O3tFRYCtU5VwwQusjl+qmxFMsHZNkfGLrU0CSBu2bIFfX19MJlMmDt3LrZs2SKL12xG75vFunXrBHC86qqrpgQcdT2t6zc0NIT+/n74/X5pbWbhQpVbiMfjwq4lI8loNKKsrAwLFixAbm4u+vv7M76jtbUVixYtQklJCTo7O8WIBEgDB5/5zGcEKHe5XAIsvNWzNDAwgKeeegoWiwX5+fli2qTrOl5//XVccsklACDnj0GmYnYbqyqlQTBEZV0BE8WS9vZ2tLS0wOPxwOPxZBhGqQyuVCol94j6nZzPucDjteBcQ/YM57XCwkKUlJSgoaFBTNrmz59/jiGRpmnweDyYMWNGBvCnssg4Lk4G9mWz2tT/U85ENQVRwdrJQgXosr9L/Y7JXvzb7Fc221FlS07GulSvCf+dvQ0WR7PZktzHyQoF6rYma2lW71+1RZzaorzPJnN8Zp7I36tO1vwb3iP8fzaDlLkIi6wEIwmmVFRUCMBBuQeyIHt7e4WFR4YeGfTcB7Yfq22kzCMIeDLnIpNZBSL5E4CwiJnj8vuoY5pIJES/lkVPHhNZv2R+BYPBjHuYYKDKsCRQq+qH0/GaWo8cxwkw8VwREOJn6VBNVnVlZWWGTEAqlUIwGBTA0uFwIBaLYWRkBKlUCgMDAzCbzSgqtCMyHEBlrhmVFh3V2jDqDGFYdUyIF2aAj6Zx5mBqQu8wI7i2Nkl7dQqAbjKi2GiEZtFh0nSM6BpCCaDUrMFiRvaXTBEEPNOO1CqQmL4f0+CmIaVBMxhhHm/n1jH+PoAcA8GZiW0hNQ4qGgFdS4OVYQ3IN6Z3xzBuJqOZgBhMiJpyYLaYkWvMx2jEAn88DkM0Cd2Ugi03D0ZjCmNjYbQkUxgoyEeuxQKj0QptLG0+VF5eLsWhUCgkckOxWAxWqxWhUAhOpxM5OTmiEWy328UZPhgMCmBOvUez2Yz8/Hxp8yewSGJFLBZDQUGBzFVso+Z8w/GUayZq2MdiMQyPG9qw+62yslKc3/l8UuKKoHk4HEZubm7GuMuxjjJbBoNBtp2fny9FEwAZc2c2I//9jgtRPu3txDToeAEHW9SmYzreaSQSCfh8PlRXV18w7tVqJBIJtLa2CtuMwFdhYSGSySQGBgbw3HPPoaurC//0T/+Eyy+/HEajEcFgEH/+85+xZcsWtLS0ID8/H9XV1VKVjkajeOWVV2Cz2bBq1SoBlDRNw5o1a1BUVIR9+/ZhdHQUHo8Hv/jFL/Doo4+KsHA8HsfJkyexb98+7N+/Hy0tLcJsBNIMOIKN1KZbtmwZHA4HEokE+vv70draijNnzsDv90tSyESXjAtWw4qKioRlyQl8shgbG0NHRwdaWlrQ19cni3wCjUwCyUigZpBqbuB0OkXs3Gq1ykKPwAgTdbYkMZHkcQOZ7JHsxQ1BA9X8RGUxMrE/nwiHw9izZw8efvhh7N69G6Ojo7DZbKitrYXL5cLmzZuFxUi2AauYBO24TwDg8XjQ0dGBSCQCk8kEh8OBVasW2D0AAAAgAElEQVRWYebMmRmsS15/fp7by25/AiaYADt27MCRI0cQDAaRSqVgt9sxd+5c/N3f/R3WrFkjYvRqK/TbYS2+nYjFYjh27Bj++Mc/4rXXXkNLS4uIcwMQMLiyshIXX3wxPvrRj2LmzJkoKSnJ2I6u6+ju7sbzzz+P7du3Z7RsmkwmaQ2/5pprsGjRonOu7/mOQ7qe1lH1eDw4fPgwDhw4IIxBGoYwQbXZbMI4rqiowKxZs9DU1IT58+ejvr4edrv9PUvSIpEITp8+jT179uDkyZMCrqjsNQAi/VBSUoK6ujrMnTsXixYtQmNj4wU5LjMILAYCAdEU6+rqQldXF4aGhhAIBM4BFglOqeeAzwkZenl5eRnA20UXXYRVq1ahpKQEZWVlKC8vR2lpKdxuNxwOhzBz9u7di4ceeggmkwkVFRU4dOjQuzqu9evX48CBA9B1Hc3NzfiXf/kXvPTSSxkyC6pDM/Wo3k5H0I4dO9Db2wsgPU4UFxdj0aJFwqhXDbhcLhc++MEPCiN9+/btqK6uxosvvijbGxwcxKuvvoqHH374bR0bgbN4PI6NGzdK63hVVRV8Ph/MZjNWrlyJNWvWZDC0eXzJZBI9PT0ZICPnBPUaEjBJJBLo6OjAqVOncPbsWZEMUc1cgAmgiOxIAizhcBj5+fkZIBoLVSzkqBrDFRUVqKqqwrJly9DU1ISSkhIZcwk8RaNRhEIh9PX1oaenR86Lrqdb+9va2lBfXw+z2Twlw0/9+XbatPnigniyMYYgJL8zu4WY21JjMg1BlUGpbiP7b9T3pxrz3s73q2BU9vbU/cneFgE4MgNVBizPL9/j36nahLwmPP8qw08dYyYDOfk7FfzlPrBVmIw69TiZo6mar8wZyCQk8F5aWpoBAnJOVBmJdGweHh6W4i6lC1gMZocDj00Fq2m4ouYwRqNRwHEyq4eHh6VYoBZuqANOORY+c9RpJJuYbEXqJfIYw+GwgEZ8NiknpAKXZHXx2jJf5r7k5OTI9nw+X4aEEAusQHrOyc/PR3FxMRoaGjA2Nobh4RDs0WHYon6UW3WUJU0oMBhQagUc0CB9CVNggIZxkFB1gs6MtIu0ppmQYwRsugYNGgwmIGUyIgYTNLMRFj0hoKGubHeyL9aQbo+GIY2GElDE+D5YADjMQDxlREIHRnUD8o2AzaAjqhuQgg6LmMmYxtulU+Pt4iZoWvpdR44ZJi0h29bGdyVpAiLIQa+hABazAZWOMsTNxRgKDmM4MIRoMj1205QnHA7DHwhmdNdQmqiqqgqBQAA+nw+RSERybbZHDw8PC/BXWFiIeDwuXUa6rmcQGnjvjI6OSnGd9zedyouKikTaggU/q9WKysrKDICR3TQELwGIzMrw8DBisRhaW1vR1tYGm82GaDSa0SVAbXqux4qLi+X+pRb48PAwXC4XbDabtIfz2QRwjhTLXxt0TCQSF3QOOVVMg47TMR3T8VcPLk6YjOi6juLiYlx00UUYHR3FmTNnEAwGsXv3bgwNDeHIkSO44YYbcPDgQbz88ss4evQohoeHYbfbhSly4sQJnDhxAl6vF5s2bcJrr72GhQsXorq6WpzQbr31VixduhTPPvssOjs7cfr0aXzqU5/Cd77zHTQ1NWHv3r3Ys2cPjh07JtVWAAJouN1uVFdXY+nSpZg/fz6cTifC4TBOnz4trppsa+akxNYCMtrsdjvKyspQV1cn+iWTRTweR3d3N1paWkQHsqenR0TFVfYAXWvZ6q2yY/j9XChSIByYYOmxLYIAGpNbk8mEgoICSZQZZJIxiVbbpFUW4/lMwAQ+CHp4PB7s2rULW7ZsQW9vryTZbH84cuQIAAibgNV1lXmoshy6u7vR1dWFeDyOnJwclJWV4fLLLxcmjKqxlb0Y4jngd6j6X52dndi8eTNOnTqFsbEx5ObmoqamBjfddBM+8YlPoLy8/H3T4hsdHcXevXvx1FNPYc+ePejq6hKGLplBbKun/uj8+fNhs9kwMjKCZDIJk8kEv9+PF154Adu2bUNbW1uGU6bb7cayZctw9dVXY/Hixe/5scRiMfh8Ppw+fRr79+/HiRMn4PF44PP5MDIyIlVrShI4HA6Ul5dj9uzZmD17Npqbm9HY2IiioqL3hMmYSqXQ09ODffv24ejRo2htbcXAwIAY7jAI9pN11dTUhOXLl6O+vn7K9tW/ZVC3a2hoSAx3Ojs70dXVJYxFtkNPBSyqLdBk1uTl5QkTwel0Zhhfud1u3HnnnSJf8Pzzz8tiYapIJBK4/fbbkUgkkJeXhz/+8Y9veVzBYFCY4JRX+NGPfoSuri6Za8rLy/Htb3/7TbfFMYPHRfCBLYl2ux0mkwnf/OY3BdgrLi7GVVddhRtvvBE33HDDpNt98cUXMTg4CKPRiKGhIaxbtw6nT59GTk4OtmzZImzzHTt2YM2aNfjlL3+JOXPmnHNeWNQiCwQA7rzzTuzYsQMAxFX70ksvxV133YXa2loZD9k2yc8SjEkmkzKecU6wWq0YHBzEG2+8gdbWVnR0dJxjEgWki2OBQCADMCFDJDvIhKYuGFn+lZWVaG5uFiZUdguwrus4deoUgHNdioGpHZKTySS8Xm9G8UtdKPJ+noyByL+Z7MVQJTXU33EuyTYWUwE8FUxU9fkmYyeqhUH1d9n7Otm5yGZKZh+bCiBmg4lvxrjMbrFWz4naDq1eI4KO/Fz2sWafW14bvlQ2LjUG1byGTCB17iYIqrY2E+zj71hsVfMFAu8ApO0XgLAOs+UHCCoWFRXJmMkxlIVSgoGUSlBNysj65P6wmKAyjgnaE8gZGxuT4jv19sbGxgRwdDgcqKyslNwsmUzKtWFLMwv3fG6pN0owlO3WkUja+V7T0jrKlM0hU5uFCe47r3UymcTY2FiGfirNucxmM4aGhuS+LykpwZLqUtRYnMgNB+GMDCInkZZcsGk6bG9RP0yBKotp8C8TLJxogDYAMCMlvzGNswpNBg0mI5BvTE1oK2YbtqgOMUpo419hMKRgUFiX46q0MAPQjWlm43DSCIMBMBp0mEzpPYzqOizQYDal26UnmJvplxU6crQENABxAJqeBjM1AzAWB3xIIpJjRgwmBIZHkZdvRqPLihx3BYZGRtE1EkNPLIqCArvogkYiEQSDQTGgLC0tRXl5ubQVM/8KBoOora1FPB4XqZiCggIxp+R1ZT5ERiINCEOhkLAVKysr0dvbi46ODrkn+Ow7nU4xTwsEAqiurpYW63A4jEAggNra2oxWZj7jwWBQWrhTqZQUmVhEJPOY7eNut1u6CBKJBAYHB4WFTKYvwXpGdk6nrgumY+qYBh2nYzqm468eDocDvb29GBsbE507g8GAlStXYu7cuXjxxReFOXL8+HH4fD68/PLLcDgcoqtYUFCAefPm4corr8Tq1atx8uRJ/Md//Af27NmDsbExnD17FqOjo1i7di1WrVqFoqIi1NXV4ZZbbsEHP/hB3HvvvTh06BBaWlrwD//wD1ixYgWMRiN8Ph+A9OKVYKHT6RR34fnz58PhcCAYDIqDdXd3N0ZGRiTpoq4Igcb8/HyUlZVhxowZqK6unlKjLZFIwO/348yZM2htbUVvby+6urrQ19cnICgZAPweMmfsdruwGengOTY2JhOoungj+1IVrFfZity/aDSKsbExYWyRoam6LWa3G7+bYHsEHbbp7h0KhRAMBtHf3y/GG9RdNJlMcLvdosfHYCLN/crPz8/QkEylUjh48CAOHz6MUCgEq9WK6upqfOQjHxGTE1XnheAiK/M8B/xJ8epEIoFNmzbhiSeeQGdnJ1KpFFwuF1avXo3PfvazWLFixfsGPg0PD2Pr1q145plnsG/fPgFlDQaDuALOmjULZWVlsmjIy8tDZWUlysvLkZ+fj1gshmeffRbbtm3DqVOnBFAwGNIt4c3NzbjuuuuwbNmy97zCOjY2Bo/Hg+PHj2Pfvn04c+YMent7xbGWDF6Cw2VlZQLsNTc3o6mpCU6nUwwqzidCoRBOnjyJPXv2yLM9mQ6j2WwWTdiFCxdi6dKlaGpquuB0mAneDw4OYmBgAN3d3fB4POjt7cXg4KAsNLjgJFikMqfJWCTQq7pGOhwOVFRUCMO0qqoK5eXlcLlc8uwRNPjKV74i4u4PP/xwhn7uZKHrOh544AGRw7jtttvQ2Ngo7eter1cAUuq1ksWjxvbt29Hf3w9d11FUVIQ1a9ZkmDKRdU7TgtLSUmFfUnB+sv3ctm0b7rzzTgwMDAir8Prrr8cdd9yBhQsXTnlc11xzDWpqatDV1QUg3Q69ePFiHDp0CPfccw9++ctf4vHHH5e/v+OOOzBr1ix8/OMfR3Nz86SmQ5s2bcJzzz0ngGNubi4+85nP4K677kJlZWXG31LLNjuo6ebxeHD06FG0t7ejo6NDnkP1O8PhsBQPVWYkgIxngC2eBG5pirZ48WIsXrw441qrP1XQRQW4VWYbMMGonKzFXjX6SiaTGB0dRVlZmYwT2a2l2ex9FQycij2YzSTM3r/JAMq3M0a9VUu1yhxUt5u9nwQoVSY9X9ngosr8VF9TAbHcp6kYodnt2G/2eRYzVIZiNjCqsg8NBoMUAtRrqAJ0ZASq+8CxDJgwvgGQ4dDMe5mAIc83x0Y6oBuNaWdm9ZypbEWCdAQsuE22RA8MDEjhlPqzhYWFIq3C86Ka7jCvI0uRDr2qzh2LcyaTSc7ByMiI5EMc81gcNxjSjvFkX7LQQqkLnksVtPX7/ejo6MDg4KAY8xA0isViMBgMGBoaEj08gjeapkknCoteZGVSi0/TNAwHA3AOWZBvNyM/1wK3JYlikwaLSZ/cmToL++PvNZigjfcmmwwQ4I+AoQmAafwRTgOT4xrmugGGlDH99xOI5CTfNw4UI4WUPs50HH9XB8FGowCeOlJI6mmgMKaZkGPUYUppaf1GY/ozcbpoj7eOU8uRbdo0oUkiredoBmBKpXcprgEGLYFUIgiPIR/GPDNyQgNAKA6j1YzqvALkF1phTxjRrxmRm5+Puro6BINBkQ+hVnwoFJKuAxalKItBViLBxJycHNFHd7vd8qyVlJTIOMp1ChmtFRUVYrLI9QxBf13XReKI8lSjo6MCMmqahtHRURQWFmYUYSwWCyoqKmA0GqVVnwSOQCAgRnMAxtm06dZpFkidTidyc3NFToBa93z2Gdmt1fzd/yZzv79FTBvJXGChGsn8+te/zlhMT8d0vN2IxWI4ePAglixZcsFSsNvb23Hy5El897vfxYEDB5Cfn4+vfvWruPbaa1FUVIRf/epXeP7553H69GmMjo6KhkxBQQHKy8uxZMkSfPjDH8bSpUvR2tqKrq4uHD58GK+++ira29tFW6S6uhof//jHcfvtt6O6uhpAepI4cOAAvvjFL2Lfvn2SJJWWlqKmpga5ubkZphOLFy9GU1MT7HY7hoaG0N3dLQYJo6OjksjS+ZJuwiUlJaisrERDQ4MwR7IjlUo7b3Z2dqKtrU1YJJwkVR0tACgoKIDL5UJJSYkwbpLJJPr7+9Hf34/BwUGZaJksZmsqqQk49z2bRWEwpAX9S0pKBIhkFVMF3pjEctHucDhES2+yCVjTNAwPD8Pn86G3txf9/f0ZLZtqiyOT0oGBAWlxANIL2erqajQ2NkpiTGF0tgCqul1smTIajdi7dy9effVVjIyMwGw2o66uDhs2bEBJSYmAqXSE5nExUeK2szUW29vb8cgjj+CFF15AMBiE0WhEY2MjbrrpJnzyk588R1/svQq/34/XX38dTz75JPbv34+BgQFpJSksLERNTQ2uuOIKfPCDH4SmaTh69ChaWlqQSCQwY8YMNDQ0IBaLYefOnfKc8drn5+dj3rx5uPbaa7F69ep3ZWYy1Tik6zqCwSDa29tx4MABHDhwIMNFlE6IXASVlJSgqqoKTU1NWLhwIZqbm6Xl5nxappPJJPr6+nDgwAEcPHgQbW1t6O/vl4Uqgy121IZcunQplixZck47+t8yEomEsPr6+vrQ1dWFjo4OAW9VsX6VtaiCCqqel2o0QACurKwMFRUVqKysREVFBUpLS4Wp8nauQ3l5OYaHh1FXV4d9+/ZJax2D7Eu2ch89ehTf/OY3xf1048aNkwJuahAcIbtiy5Yt6OjogK7rqK6uxve+9z0sWbJEHJvfbfz4xz/Gv/zLv8i92tzcjOuvvx6f+9znRK7jzaK/vx+rV68Wdg8ALFu2DH/5y1/k/5/+9Kdx+PDhjOOdNWsWNm7cKLqMmzZtwksvvYSOjg5hblssFvz2t7/FVVddlfGdnEfIuBoeHsaxY8dw+vRpke3wer3n6DUmEgkEAgG5b9hqBuCcc2ixWGC32+F2u1FaWorFixejubkZJSUlGcxYYKJFbbK2YfV9tTimgo2TMQcna7kFJiQnFixYMGlh4HyLFZOBg1P9O/v+VRmW2fuhyneooFY2uzAb4HszwDJ7H9TvV6+JasaSfa2met6n2pfJ2tl5rCqjlX/P9wnSZTMS+XnVTE2VceF9pLZ6x+NxKaSqDukc+wAIyEjQm4xJsvba2tpELkQtRpCtyetDkFL9P7UXVWDTaDTKd1ILkjkkDf44xhLwjEajCIfDkucFg0FEIhGYzWbRrybQSOay2rlB7Ude45ycHBQWFgqwSV07tpuTCcnzy86XVCqFs2fPwuPxiIRCMpmUojfBWubIZHay84ZFLuaoLGzpug6TlsQSO7DCaUF5nhV1eUChUWFKkfoHTAoGUqdRgwFm6NABpLQULOo2BBp8K/8E07nfk/V9CQDBJJCDFEwGwGoEjOOP8gRIynbvdLu0P2FA0mCEGYDFCNgMaWDUiDQoaTace6gY31sTgJRpwqVbBzCqmeHRcpCMJ9AV1XE8VYAymwkz800IG60IJFKosaRQmWNE2JKLtrgVIZMNIXMBSseLMSz008SFayGn0wmTyYSenh7JnWOxGHJzc+F2u+FyudDT04NwOAy73S7Xn7l0NBqV/Jpzc2VlpRTANE1DVVUVLBYL/H6/kDh0XZdnenR0FOFwWNysCV5mr3H5PHMcGB4eRk9PD4aHh+W5crlcYjBJVia178niZBdGXl6eyIDxXlUN2CgjZDQaRQOf72e3Yb9XMW7K9L+OVjnNdLyA4/24Uafj/0a8VWL4tw5dT2uwUetK13VZyESjUcyePRt33303Ghoa8JOf/AT79u0T5lU8Hkd1dTWuu+46NDc3Y+/evfB6vTh79iyMRiOuuuoq7N+/H2fPnoXP54PX68XTTz+N2tpa3HrrrbBYLOIm3dTUhNbWVmHBDAwMQNM0rFq1Cg0NDVi0aBGam5thtVoRCARw6tQp9Pf3w+v1CgOQyZjdbheAyu12o7a2FpWVlee0JjMIeLS0tKCtrQ3t7e3weDzwer0ZCTYBIDIa+SoqKkJhYSEOHz6MF154Af39/cLyYdWNCwkVgMtmYjAmY2Romoaenp6MxaL6U9VAol4K2U08H8XFxdJuQRYD2QjUPKIJCBmYZM54vV4MDQ0hHA5LO5DdbkdjYyMWL16M4uLijAWkCi7SdIARi8WwZ88ebNu2Tar+CxYswBe+8AXU1NRIuyTBRR4bmZOTRTKZxCuvvILvfve7OHr0KKLRKPLz83HppZfiU5/6FNavX/++VD6HhoawdetWPP3009izZw8GBweFfVFSUoKZM2fimmuuwYc//GFUVlaioKBAQO358+ejsLAQHo8HTzzxBAYGBtJJ/nhy1djYiCuvvBJXX331lEUv3pu818heI+uTobYM6rqOoaEhtLS0YNeuXTh69Cja2trg8/mEtWEwGGCz2aQVl6YQS5YsQVNT01u24r5VxGIxeDwebN++XQyiCOyrkZOTA6fTicbGRixYsADLli3DzJkz31PjmXcbbB/2+Xzo6+tDe3u7yC+o4D1F/Lnw5bPAooLqyMgCS3l5OSoqKlBWVobKykpx+aWL6Pmc+8997nMYHh6Gruu4/fbbsWvXLvT29sLn8wkoSndXggSvvPKKgAOzZs0S7VWColxAFBcXw+12w+12o7KyUtjkn//85+H3+2G1WtHQ0IDf/OY3aG5uPu9rcNddd+G//uu/BOBft24dbr/9dtxyyy1vexvl5eXYvn07li9fLqzD/fv349JLL8Ubb7wBAHjggQfwl7/8BT/84Q/lc2fPnsXDDz8s82UkEkF3d7doXRmNRtx+++1YtWpVhinYoUOH0NraKgz6bAdphtFoFMCCur9knlCDjkAj5QTq6+uxdOlS3HbbbaioqJgU9JuMqfh2f/deBEH5GTNmyJg8FXg9GUA3Gbj3dl9vh/E32T5k7yNB1ex2Y/XffKn5FM2cOB6w4MC/yW6DBSZ0GVXjBL7P7wMymYPcXxbkVOflbK1JFTxWGZg8PtW1XgXIAMjco2ma5Dyqwza7NlRTE8rBFBYWyr6qoCbBPO6zWrjk8avsaLYQEzjkuVFdsW02W4bzNYssnOvYbkr9aeoushuBTEHK2FB/rry8XFiDw8PDwlb3er0wm80oKSlBKBQSAIX6tGoxWdXZTaVSMk5Sg5EMZV3XZb/Zws1cwWKxoKamBuXl5ejo6BBX33g8joKCAhgMaQdsuhFTDiISiYhRGMFZAqQELY2aBaW5CdiNOtzGBHL0cdYhITz1USLrcJzASBfnmAZEoSPPkv6V2WSCWWFEqi3PmRvKjpTyY2IO1E3jrxSQgAGWHDNMMEJPaKAJTEpLg4cmw8R2DDDBhBScFgNS4z3TKUPaQIYgooCPmNCkNIz/O6EBBmP6GM1Im8ckYMSwMQ/dFjec5mFEzGaMhjRUGVJIxSIIWSyoyLXCmhiBNRKFnoihocCFvkQExlRa5oPkgoqKCjGIIVs3Ho8jNzdXdJfZTk1jQt7fZNBy3qBMk8lkEtCQY0YgEEBBQQEikYiYFVEGoKWlBS0tLXJfVlVVZbAJyZqkrqhq3MXxj8UztlEnk0kEAgEZkwsLC+UeJ2AfjUYFSFVlBfh8s+Ch5vX8HovFIu3fBOBzcnLgcrmmuK/efVyoa/u3ir99Bj0dU8Y0TXc63m1YLBYsX778gh2Y2LLp8/lQU1MjIsOtra1Ys2aNVLdWr16NF198ESdOnBA9jWQyie7ubjzxxBPSdtfV1QWn0ykOarfddhvOnDkjraIejwff+c534PF4sHz5chw/fhy7d+9GT08PampqoOs6fD4fNE1DIBDA4cOHsXbtWixfvhyhUEjMKwg2MhHUdV3amouKilBWVoZZs2ZlVMGyY3R0FG1tbThz5gw6OzvR0tIireaqG6TNZhPGYHFxMZxOJ0pKSuBwOKT1JhaL4X/+539w9uxZ0S5hJZvg22RgIYCMJJ/XBMhkZqgi7Pw3J2KCiCo7QWVjqAsTYHLHStWgQF04sZJPtibbmMrKyjBv3jw0NDRIi5CqGcWEg/vLBbLNZsOhQ4ewZ88eadFYs2YNfvjDH8LtdgvA+E4WuJFIBD/5yU/w+OOPi1ZcRUUFbr75Zvz93/896uvr37MFM8+v3+/Hjh078OSTT2L37t3iIG0ymVBaWop58+Zhw4YNuOqqq1BWVgabzSats0ajESMjIwL2MEGjYPjatWuxYcMG1NTUyGKMYKAq8q8uHtS2Si4e6uvr4XQ6kUqlEAqFkJeXh+3bt2P37t3SIk+gkQvcvLw8zJgxA1VVVZg3bx4WLFiAJUuWYMaMGQJYv5tIJpNoaWnBzp07cfDgQXg8HjH2YZAVWlFRgTlz5mDp0qVYvHjx+5IovpNgOxMLJ52dnWhtbZXCBNuJydrJdlDlop0LVi7y3G63MBarq6tRVVWFyspKOBwO5OXlvSMn6KliaGgIbW1t6O3tRV9fH/r6+vCLX/wC8Xgc+fn52LFjB3bv3j3pZ1nMIIvcaDRixYoVuPfee1FVVYXa2loUFxe/5dy2adMmPPnkk4jFYpgxYwa++93vnjfg6PP5cMstt2D//v1ifLBhwwb84z/+I1asWPGOt1deXo4//elPuO6662R+O3bsmLRal5SUYOPGjZg/fz6+/vWvY3BwEIODg/D7/QIkMUwmE2bOnIkbb7wRc+fOxa9+9St0dnYKm0O959U5wGAwwO/3i5snF//UrSPTjXIC1dXVuPjii3HTTTdltEdf6DFZTjTVfa7OhWqLq8q44/inAmDq71QtvGyTEC6IVbdwPsMcW1VGKYt1HGvVeVYFNlWDD/VYsrsZskFdztPZgKIKLKo6kzyfahFCZUoTJFRboglM8vcqGDvV9SArioAjt6PqY7LjQtV35LklSMHjops7DU5oJsF/k+3H4yJgp+Y+TqcTRqNRjJFUoFb9LFmWRqMRw8PDGfkNW5ap+exyuSR3IZBIR2A68hIg9Pl80o7MvLCqqgqlpaWoq6tDIBBAMBhEZWWltEFTHiEej8u9wLbvWCwmoAu3W1RUJJrZbNEmy5HHxfuf3R+NjY2w2+3o6OiQvM1kMqGsrEyeIcroaJom7dWU6XG5XOMArgHlphRcpgQWWGOoNcVQaAKMBgKEmuIGnVUEUzBDA9JsQ4MGGJJAchzEMyPt9JzWZzQhhXOZiG/lTg3+7XjLc0IHhlM6QtEEHGbAaDYhqQE2jLdrK7e12sJthiENRmZhqAbQ+GbiozxmA9Jt2GRC0rNGg4akyYgiLYIEzDBYbchz5kKLDSGa0oD4MLQkUJwDRHQD+hNGhIejqC4e1zI05ohc0PDwMNxuN3JyctDd3S3rIl3XYbFYEIvFxATIbreLzInL5RKNxxkzZqC3t1fmFLKHmbdTU5FyTSMjIyILRNO/4uJi9PX1IRQKSas2ddqZbxI0pzEOn0dVf3psbExkDFgkiEajoneaTCZlTPB6vaKPbzKZ5PkHkAF6qmOV+l0qgxqYkG14r+N/Kz40DTpOx3T8/zQuVMCRQVBtwYIFsFqtGBsbw86dO3HzzTdLC8rWrVvR3t6OoqKijGQnGAxi+/btOKPkZvkAACAASURBVH78OObPn4/m5maEw2HU1NQI8+LWW2/F3r178f3vfx+vv/46urq68IMf/ADV1dWw2+2SSFqtVixduhShUEjMP/r7+/G9730PBw4cwMqVK8WJmlV5o9GIvLw80TupqqrCrFmzUFxcPCkbSNd1eL1eHD9+HO3t7eju7pZ2UiauZPIRwGRbY2lpKRwOh+jlMPml1klHRwcSiYQ4ebtcLtEIstvtsmBklZ5MPpvNlqGRpAKLqh4Sk/dwOIxoNJrhgjg6Oipu0arhhKoBNFnbVDbLge8RTFUXPRaLBQ6HAw0NDVi6dKm06VmtVjlvZDbwuAsLC+Vnbm4uNm/ejBdeeAGhUAh2ux1XXHEFHn30UUlU3mn09vbi/vvvx8svv4xAIACLxYJ58+bhs5/9LK677roMNsX5hq7rAhb+7ne/w44dO9Df3y9JvdvtxuLFi3H99dfjyiuvRGlpqQB1fX19OHz4MHbv3i0gO9mEDocDixcvxoc+9CE0NzeLPtQbb7yBQCAgen+saOu6DpfLhdmzZ4sWHxe64XBY9N9ycnIwe/ZsmM1mHDp0CEeOHEF/fz+CwaCw7sxmM/Lz84URTDbjokWLBAR+t3H8+HHs3LkThw8fRkdHh7izM0wmE5xOJ+rq6rBgwQKsWLHib67FSPai1+tFT0+POC/29PSItunIyIgsFFVwXQUXydR1uVxwu90CLFZXVwsjhZph5zM/EABva2vLMGzx+/0IBoPCDGDs3r1bALIFCxZkuEY6nU4BQmtqalBVVYVIJCIt+aWlpdi1a9c72r9Tp07ha1/7GsLhMAoLC/H1r38dH/jAB9718QLAiRMnsGHDBgHs3W43br/9dnzpS196W+3UU8XixYvxq1/9Cp/4xCfkHHV0dGDOnDnYtm0bysvLMXPmTFx00UV49NFHEQwGJ2XmNjY2oqamBtu2bcO2bdsyfs/xsaioCGNjY+jr68Po6CgCgcCkQA8AEfpftGgRrrjiCtx6663v+hjfj8hmEnLOIVhHdhf19NRCFsEclQWompEQ9FNdhbmo5Pyr/l8FA/lsApC/5f6qwGD2sajXIZsRmD1v8jOTbUNl3rHLQd2m2jqd3WbL99iuyO9jNweDOQMlZaiRphb81PZsNSfKyckRky8W+tSuBJ7P8fZBMXfgdlUjK34nC60qA5GAOtlVY2Nj8nzFYrEMMFHTNDHCczgc0s5psVgkp+O5ZU6Um5sLTdMy2KK8Z9h6DEBMkggesjMAgOShbN3k+aaWOPdVBZ3JJlQ1F9luqjIxqSFZWVkphi8+n0/APjIRVeYrnXt9Pp8AviaTSfT7VJYn80MyJwEI23xgYACdnZ0YGxtDT08PrFar7KPT6ZSWWgJRnMd0LYUyROAyJVCbZ0KJxQC72QQLNJjGzVQAFcOb8KUG9PEmal0AROo16sC4ncyEIQyD7tLnGsRk/WFW6HS+Ht8viwEYTqZfRaYUynIAw7ggJEHGc7+HQKoBBhihI6W4XZvkWGmKo3GP9PS2+Z6GNAhpT4wiYjHgbCoPnaNRDMZjKMjPgd1qRFE0iOJkHNB09Og5COhJ+GJBYHgQfmsRfLYIwuPXs6ysDIlEQhiFbW1t0kFRVFQEi8UixWfKSKmFFY5xBBctFotICxBAZDEUgEhhcUxmoZumQ+yysNlsKC0tFS1GficAAeVVyQUgPT5EIhHk5ubC4XBM3DmaJuB6MBiUsYvbHRkZkXGNawx1rcGIx+Ni7klCCBnDBFunYyKmQcfpmI7p+JtFRUUFmpub0dDQgOPHj6O1tRVbtmxBdXU1QqEQNm/eLO54a9euhcPhwMmTJ3H69GnRriHwdfPNN6OyshJLlixBTU0NAIhhwPDwMHbt2iXthw6HA/X19SgsLBSXNjpn/+xnP8PJkyfR19eHZ555Brt27cJll10mySddrF0uF2pra9HY2CgV8uzQdR39/f04fPgwWlpa0NXVhdbWVjGmICMwNzcXVVVVkmzS7VVN9skcUCtnp0+flta3VatW4bLLLhMXZU7CdPglAKcuNNTEXWUeqIzLbKYHnW67u7tFQ5IOc2yVVlkATMrVbasLLwqHq+AkJ2673Y7S0lLMmDED9fX1YthCPUuCi0VFReLGTHdGLj6efPJJ/PSnP0V/fz9ycnLOG3DcuXMnHnzwQezfv18qtevWrcNXvvIVLFy48D01i4nFYjh06BAef/xxbNu2DX19fdLK7HK5sGjRItxwww244oorhNnI6O/vxy9/+Uv8+c9/ht/vl4VgdXU1Lr30UixfvhyapqGtrQ379u0TQW0uvMkcUdvPdF3H3r17UVpaKkALry11czweD5588skM9g4BdYqH19fXC+A3b948OByOd9263NnZiddffx179+5FW1ubMCkYJpMJDodDWvJXrFiBWbNmnVer8PkEF3b9/f3CdG5tbRUpgWAwKG3GBGmBiTbGnJwcudfJXKyoqEBNTQ1qamowY8YMlJWVnTe4qOs6wuEwWlpa0NnZib6+Pnneqe83VXBMKyoqQk5ODjZv3gyTyYTa2lr8/ve/R3V19ZTXe2RkBDfddJMsOH72s5+9432/8cYbEQqFYLFYcMcdd7yjtufJ4tlnn8Wdd94pi4jZs2fjS1/6Ej71qU+d13YZ11xzDe6//35861vfkvF9YGBANExHRkYwODgoJmeMvLw8zJ49W3R92U5N4zKr1Yru7m74fD5ZNKrzB+csq9UqoO/atWvxyU9+MkOb6r0IgkYEjlRmn9pWyvmc8ztNKuiYSxBRZbSxGKaChSrzXWXrq8DYZPORyvQnkEemHM/ZZFIkk7UPZ3cRTNZarAKAamux+iIQSKaZCoqpzEK+ZzAYpHuATLRsoBSAbJP7wlZaau+RUWQwGIT5yg4LLvh1XZf8go7JZG8SYNN1XQqdBBr5eV435hk8Ps7lKpisMkFTqbTRHwFFtVjJ43a5XKKBzXNttVrl3uN8F4/H5fv5HrUNKdlCvUUWeDh+qfdy9n3I3IbPpc1mg67rAuIxzyIDkG3P/B3vBxZ+CYKazWZpe2V7dTwel2ut3nNms1kK2OXl5eJAzOvCeYWt0zQspLt9fn4+vF6vALvUf+S5IfjEe4gMTDLgBgcHBdghyGowGETnL/0MplBuSqC60IL5FqDEAATiSejxcWMVY7qd2Ixs0E6d2wwwKPYxqXHDFoshzWM0Zv31xKcmXKENGX3a6s9s8NEkn9G0tB5joQmoyQN03QSjPg4mjqOMqXHtSOOU2pETsKhhHIhMt36nv988/v/RFKDrQI4JgJZmb8b1NLga1VIIJQDP6CjaTTnw6VYkEhGc8I1hLN+CGfZi6GEfCvUEvNEw2iOjcFiMCJo0tI2NYF+gA5bxIl9eXp6Yw42Njck1DoVCCIVCMBqNIsfAsYL3ZzweR09PDzRNE7kdFh4IflPnk3I3ZCzOnDlTwD0ChRaLBU6nE3a7XZyl+T0c+3m/TyYBw7wVmCiWsChAOSLmSBxT+DxyzCBjma3/FosF0WhUOoH4fJPowN8DFz75568d06DjBRyTVUSnYzreTmiahvb2dtTX11/wg57b7cbHPvYx3H///YhEInjqqadQV1cHn8+Hrq4uRCIR1NTUoLa2FitXroTL5RLh4dHRUQSDQZw8eRIvv/wyHnzwQQEcgTQjrb29XdoHI5GITHwWiwWrV6/GxRdfjHXr1qGwsBC9vb3YuHEj/vCHP+DUqVOIx+Po6OjAM888g4svvhg33HADSktL0dDQgIaGBqmEZUcqlUJPTw+OHj2KM2fOoKOjI8N5mcklmT6qm5vT6cwQb+f2aHaj6gwdOXJEqvTr16/HggULkJ+fD7vdLk7LeXl5sqB5J8F7yO12w+fzwePxoKurC/39/QgEAgLgUgeFCxZW6LkgURe23C4XjtmLIE7uXCiUlZUJU4vOuZWVlaipqRFQZarW6Hg8jv/+7//Gv/3bv8Hj8cBqtWL9+vX40Y9+9K4Ax2Qyid/+9rf4+c9/jpMnTyKVSqGsrAy33HILPv3pT6OiouI9A7I0TcPZs2fx2GOP4fnnn0dXV5e4UbpcLixYsAA33ngjPvCBD6CsrEyAaU3TcPDgQfz617/GwYMHMwDgoqIizJ49GzNnzkQ0GsWWLVtkwa+aiqggF39ykU7B+s7OTmHkkjnl9XoxOjqa0Y5CI5ja2lrMmTMHK1euxCWXXILZs2dLC807jZGREWzbtg07d+7EqVOnMDg4eA7IWFJSgsbGRixatAiXXnopZsyY8TcBGZPJJPx+P/r6+tDR0YEzZ86gvb1dzJNU12guvAEIeOBwOKQdqaysDFVVVaiqqkJdXZ20ozscjvPSW0ylUujo6EBrayt6enrEOX5oaChDEzA7uAgtLi4Wo5ny8nIxKCJI8YlPfEKYDT/96U9RV1c35Tb5zO7ZswcGgwFr167FBz7wgXc0n33oQx8SV+gNGzbgi1/84nkVAu677z7853/+JyKRCAwGAy666CJ8+9vfxqWXXvqutzlZfPazn8Xw8DAeeeQRaJomACf1HbODhhN+vx95eXlYuXIlotGoXMcjR45Iy7YaRqMRdrsdNTU1WL58Oa655hpcc801U+6XCtKREUiGIIFAgoQ0KhoeHhbwkGMCAUSOOeq21HmA4xDB0eyCWHahTN1PNbLBPwJoBO64+FSNarJlP1QGoNrWq2oQquAfQTWCW/xbLlT5nFJrkHO82WxGUVGRAKA8Np4L5gcWi0UKgDxmtgWrBUJqC5tMJslRuDhmkZJgG68P7+9wOIze3l6ReOH8QOCQ9xC1D9V/cwHPfEBlHPJ8kImqgs6qYzULK6ouOc+Rek65uFfHPZVdSUCVoIHaSu1wODJazcmGIpCiMq4SiQTGxsYEwPb7/aitrRUQldsk01BtryfLkvc4AcVwOIxAICDHQh1GgsMEZbk/vDcI5MbjcbmHCDKaTCbRS+Tzxu/t7OyUa1BUVCS6e7yHOCZUV1fDZDJlPMderxcAJMfSdV3M8vLz8yXH433i9/uFnUamHAFVjkelpaWyP8FgECV6DFUmHbMRQ63VALvRgFwjYNZ1GJCCFUYYdUM24vgmYUQKGAcd09qKug7owjycKsadrscZhxPO1CYFkIT83giTMCmhA3kADMYUUoY0b1EHYBh3tDYZ6DutGteM93mD7EYCj+eGASYYDIBXAxwpwGxIIaUBMU2DpuvQYMBgLIFjwRSOp4Iocae1mEdHR9EdTWEIwKzCSpRoEVhSQ2gya0jqwEDChDGLBSZLemz2eDxwOBwYHh5Ge3s7CgsLYbVaxUBybGxMQGubzSb5n/r8xmIxdHR0SLs23dXpLM38n+xH6rb29fVhaGgIxcXFqKyshN1ul2I6i8kqk3hsbAyBQABerxf19fWi86wGi6PMGzg+cz4DJvLUaDSKoqIikSNQZRYIsPM5U42nKF+jSvLwe98vI1eulf63xTToeAFHdgvNdEzH2w26adFl70KOuro6LFu2DMuWLcOuXbvQ19eHxx57DHl5eRgYGJDEpaamBi0tLYhEIrjooovgcDjg8XgQCAQwMjKCAwcO4N5778U999yDSy65BKdOncIrr7yC1157Dd3d3SgvLxfBbFbtWltb8bGPfQwAhCkVDAaxevVqFBUV4dixYwIM7NixA+FwGF/72tewcOHCSY8lkUigu7sbhw8fFtH+rq4uMQqgQHdFRQVcLhfy8vJkwU6HQibNmqbJQkBlAxKUi0QiaGlpAQA4nU6sW7cOJSUlwnR8N0Aj93FwcBAtLS3YunWrCEpTS4wGA1ycMZEFIAk0wUeyJThBMnHlIoNJPVt+qbnkdrtRXl6O6upqad1gkltWVvaWx5VMJvH888/jkUceQUdHh+iDfv/734fb7X7H5yQSieAHP/gBfv/736O9vR1msxkzZ87EXXfdhY0bN0q78XsRAwMD+O1vf4s//OEPOHPmjBgWFRcXo6mpCTfccAOuu+460UqizttLL72EF154QUwlWMktLy9HTU0N8vPzoWkaOjo6Mlg+BLHVBR6vLXWceG10XRd3ZK/Xi1OnTonLOCvKZDs4nU7U1tZi4cKFuPnmm7Fo0SJp6XonkUqlcPToUbzyyis4cuSIOPQyDAaDMJeXLVuG9evXo7q6+q+ekGmahlAohL6+Png8Hpw+fRpnzpyRRDobYCSwQMCCVXIVbK+pqUFDQwNmzJghDIR3ywgdHh7G6dOnxdF6YGBAnO6n0h1SWUd0I66srBSGN4HFqSIajeLFF1+ErutoamrCZZdd9qZ/7/P58I1vfEPYU5s3bwbw9uezBx54AG+88QZSqRSWLFmCe++997xan6+++mrs2LFDxu2bbroJDzzwAKqqqt71Nt8svva1r8FqteIHP/gBQqHQpH9DoIPOtX6/Hx6PBzt27JB7Xr0ulAFpaGjA2rVrcd1110lbGTsF/vznP4uOHJm2BA7ZCknGIYFCFjPUluPJ2Oxq2y9jMoCQP1UWIIAM0Eodm7JZgWqhTnUzJhhotVoxOjqKsrIyeY4ITNEEq6CgQMA16jJng1NGoxEulytDl5BAINm96nESBGJ7LcdKMu6o8ae2bXN+5PmIRqPwer3SekzgiRp9KquTQCW1+AjqZWtAqkVBFu64z5wXqBlLwIwGQiqjUG2PDgaDGeArP8f7Vv0M24NVhiidkvlSjWgIWpCJSdOLvLw8uY4EdXke1fZLNQgaMH/hGKcG2X6891ngbm9vl2cCgLSYs7WZGpRs9yZTlmxeOv/SWIPFJoPBIEVxXdcF5OF14dysMivZvUCwUr1XTSaTgJtk0ZOpxjZp/h3bZVmM59zPbhKVzahpmhwz5w0+qwRzCHbyettsNgGkLBaLmNEUFBSgorwMVREv3MkRRBMpjEaN0C1AjskAiwGwwQSzEcIA1GA6h7F4btvyuHGMMQ0M6ki7Wafbq9loPRHGrH+nYKDfddqUhg415zAeUwq30oSEBtiMgEnXx7877WBNLUb+pfp5xoR2YybbUj02zQAEDWbkmHSYNSCa1GAzG2EzGjCWAvwww5vSMeQPYCwckRzcbDYjmdLQk7Iip9COMlcpRoMBeP1B9CaS6ImnW6EJznMMYhEhGAyK7mZNTQ0KCgoEmKNbNTtaJtirGoLBIEKhEJxOpxTHKU3FgkhDQ4OYyFCChyxDAvi83zguxONxFBUVyb4FAgEholRXV2cwwwn+sduG22EexvGJ6y0WYqiLyrVWMpnE6OiogI0lJSVigkptVjXIdHy/1t+JROKCX9tPFtOg43RMx3T8TcNsNqOurg4f/ehH0dXVBY/Hg8OHD8viobq6GpWVlZI0AWka+0033QS/34+dO3fi+PHjCIVC2LFjB7761a/i8ssvh9lsxuuvvy7swoKCAqxcuVL0ZmgQc99992HNmjUoLCyEruuiN3f55Zdj8eLF2LNnj7QxHz58GJ///OfFrfSSSy4RXZyenh4cP34cZ8+exZkzZ6RtgElnTk6OGDhwIeh0OmVBxIUUFxNMNulKWlBQgOHhYRw5cgRz5szB1q1bEQgEYDKZsHLlSjQ1NU3plP1mwUmzp6dHNNrojNvS0iLsBC642F6jAiYFBQXSSsnjILOASayqfcXtkJVJLUY6SKvMAVbcDQYD3G73Wx5fKpXC1q1b8dBDD6GtrQ1msxkrV67Ev//7v78rsGBoaAgPPvggNm/ejL6+PthsNixYsAD//M//jLVr14ouzfnG2NgYXnzxRTz22GM4ePAggsGgtKg0Njbi0ksvxapVq5Cbm4t9+/bB7/djYGAA+/fvx5kzZ0S7kAuWqqoq1NTUSFJF8FJdzKvC/AQXWbVlC29JSQmcTic0TUNrayu2bt0Kn8+Hnp4ejIyMyD3O56a0tBRNTU245JJLsGbNGmiahqVLl76jBCkUCuHVV1/F66+/jrNnz4rmDiM3Nxf19fVYtGgRLrvsMsyZM+evzmSMRCICMLa0tODUqVPo6ekRkxcyiFQGI88z73W1Nbq2thZ1dXWoq6sTDdd3ekwUfG9paUF7ezt6enoE9OQiebJgCzq1IFXG4vm02d5zzz3SJv3ggw++qVZnLBbDl7/8ZQwNDcFoNOKhhx56R9/1pz/9CT/5yU+QSCRQVVWFRx55BDNnznzX+3711Vfj9ddfh6ZpcDgc+MpXvoL/9//+37ve3lvFyMgIfvjDH2LTpk0YGBg45/dkNi5ZsgQmkwm9vb3CRFIBASA9BjY0NGDu3Lmw2WzSWv273/0OP//5zzPaVFXAUC1GqJqJDIJUk43B2axBtYihAhkEj1Szs4KCAmGbEEjii3MBNeVYVCP4RO05sl/Y0ktwjwBIMpmE1+vFzJkzBZgigJdIJMQRHYCAV1zkqoAqi2iqHIXqlEq2mcpwI6uGoCAwYQRAjTwCgTy3quYgP8N9YKFOvT7qtePvVPMXlaHJ60KgjqCnahpE0JC615zb1W3yu0OhkIBRBPIIipElxeuXm5sr+U42w5Sv7PZ31ZhHbUlmC3D2HEbQgWCgagKkXge1NZOfVxmEZJmrz2g0GkVDQ4PovvEeY55JkI3HrJpzUXeX+dDo6Ch8Pp8UwnlegTRIEg6H/z/2zj06ruq+959z5qUZPUczer8sybaMbRmDgQA2YANOKE1F6SpJk7RpSFNImoSS0pSktKFpEtrVhpWEpA1J7i2kCaTcm7RgaICShSnYhPht45ck27Lejxk95qGZ0cycc+4fo9/WmbEMtoFcKP6tpTWSZubMmXP22Wfv7/4+1P4Iw8s0c6m7AsrIop9cz9J+y8vLVX++bNky5ubmmJmZYWpqSrHYBQQS8BpQLMpClpccQ2EK28ElAc5F2l9RUaGCzeRcCSNUWI9Op5PEbJyAz0NNoIIGikjEozhJgWlQ5gSH5sA1HwCjz4N+1jwQqNmAw9OBjqpvIhe6ouc9kwMfF/Nz1OeBP1M9Z86DkIWMR9l+Dg51abl3evXclu2Cb/v2LSy0RaTWJjlGZg6oNGz7ltNTe9Fp0bK4NA1LB59bx9AgZcCk5WLIUcxssU61MzdXkERqucYikQgjDgfeIg9lPi9pZwUTc2HloSjyfwH7I5EIHo9H+bcDTExMKEBdgG1hOcuij3yetDO5LzU0NOTO+7wtkcPhIJ1OKyZke3u7IobEYjGlpJL+Xdd15ffvdrvV2CQejzM1NaX6Y/v9KR6Po2maInXIQlAoFFJAvfQhiURCZQbEYjHV1uV3UefItkpLS5mengYWlFxA3qLROxEYfCtLO29y+faqrq6uYiAO8KMf/Shv1fR8na8zrbm5Ofbu3avM+N/uNTs7y/j4ON/97nf5yU9+olJ5NU1j1apVvOc971GTFJ/Px5IlS2hra2Pt2rWMjIzwne98h5deekklrYmfYW1tLbquU1FRQWVlJc3NzVx66aUcPHhQsdYE2Ln88svp7OzE6/UqoKW9vZ3y8nKeeeYZHn30UXp6eshms7hcLmpqanjPe97D5s2bKS8vp6enh6NHjzI0NJRnzO3z+aisrFQ/tbW1ypdHVuPs8hu5EQNq9VxuuD/+8Y/p7+/H7XbT09NDKBTC7/fz7W9/m9/+7d8+4+MtvnL9/f2cOHGC0dHRU2SVMnGTYA8ZoMrAvry8HK/Xm5dKKYN8+yBVnpMBt0inA4GAkvrIRLRwMiusS2E+vR7AZ5omr7zyCvfccw/79+9H0zQuvPBCvvnNb55Tcu3AwABf/epX+cUvfsHU1BTFxcVceeWViu36Rv0bhRWwZ88evv/97/Piiy8qRovIhNva2li1ahUlJSWK5RCPxxXIJYM+GQw1NTVRU1OjJGp2eaFMYIRlIp6Y0jYlKV0m9oZh0NfXx9atW3nllVc4fvw44XCY2dlZxaQUkLKmpkbZDrS3t9PS0sLy5cs5cODA6/ZDlmXR29vLs88+y969e+nv7z8lmbe6uppVq1Zx9dVXc8UVV/xag19k1X5wcJDe3l66u7s5duyYkknbAQiZhMn1XVJSomwU6uvraW1tZcmSJbS3t9PQ0KDA+rNlZiaTSXp6eujt7WVoaIjh4WEFdi5mzSKT4cKQGWFSvhVpiLW1tUSjUdra2ti3b99rsjR3797NtddeSzab5eKLL+all15Sz73e/SwcDnPppZcSDofxer18//vfP6v+sLCuuuoqdu7ciWVZNDc38+CDD3Lddded8/YWKztL7vvf/z4/+clP2LdvH8lkUr2msbGR9evX88orr9Df36/+73A4aG9vz0vpnZqaOoVBKCWsvMJazHvQ3l/YmVMyoZT+Q9q3gFZ+v1+FmAmTSl7n9/tVqICAQQ0NDXmeX2dyvESiKYC+nX1ZyOgTsMou3R0fH2fZsmUK0Jd7lXxPu3exSFTlHNkD0uygrHye+AIWHks7KxDIW+jxeDxq32SyLrJcu9RaJNF2Oa79+Hs8njwPQAHe7H29MB/t7E4BfbPZrFrYs++7YRhEo9G8/ZdjJf8TZpAdoJUfOVb299tZ9XbGqr2tyevtEnh5r/2Y2x/t7Fq7HFvGJXYptAB2duanvb3bQVn7+zKZDAcPHmTNmjXq/iNSbGExClgsQLE96MvuN21Xr5imqcAU2Rc574lEQnnNAaqNCrtVrh9h0gpDWcAjsdmRtiZguLRnOafCsrSfWxkb221XotGo8raz2+IIo0wAUmlj0gacTqfy8Uun5yhLx6h2gdepsapEo9oDPizKSOIxjHlGlIllzfdHqiewg372nOdCP8YFr0apxe+wi0GW86EtloGu2be42Oct/JUyHZiWRbHDvr+Lb19AT9O2nayZk4R7Had/R8YCXcuxPbMmRAyYNjVeTTk4ki3BKA2SRSNr5M7ZxMSEskkRRYW0fSkZz8mYS+7TAliKL3yhb7DI69PpNEVFRdTW1ioigczDYrEYw8PDCrRsampiyZIlykJAvMPFPkj6Lhkby3UgC2TSzmWM5fV6yWQyTE9PU1paGQLCLgAAIABJREFUSkdHh2LhymKApFfLvMXpdCqwUEBVafder5d0Os3Q0BBOp5OGhgbS6bSadzY2Nqq+XmTopmkqZrwcTwFs7ZLrN7Pm+/I3R171a6zzTMfzdb7O1//3kuTlW2+9leHhYR5//HElF+rr66OiooI1a9bg8Xhoa2ujoaGBSy+9lNLSUiorK/nyl7/Mt7/9bR577DH6+vqIx+NEIhGSySQXX3wx9fX1rFy5kiuuuEKxGPr7+4lGo4TDYcWSdLlc3HjjjSxbtow1a9aoG0ZraytXXnklDz/8MM8//zyjo6MMDg4yPDzMk08+qW7K4hWYzWYpLi6moaGBkpISNcmX5DeZdMiNUVbCZbBaWlqqBv5lZWX4/X527NjBSy+9pCZCYr68efNm3vOe97zuMc5kMoyNjXHixAlOnDjB2NgYoVCI8fFxJicn1WS3kIVSVlZGcXGxWvW3J04WmkTbB8TCYJT9FzmCMBhfj7Eoci1ZRX89wNGyLPbv38+Xv/xlDh48CMAFF1zAV77ylbMGHC3Loqenh7/927/lxRdfJBqN4vf72bx5M3fddRfLly8/I5BIGBv2iWwkEmF6epqpqSkVnLRz505CoZBKSPf5fNTX19Pe3k4wGFSr1qlUKi/1HBY8DCVARM6H3WtKzkUgEFDAogABAhRLGzRNk1AoxPbt23n++ec5ePAgQ0NDiqHgdruprq6msbGRzs5OqqqqCAaDatIrDKSqqqrXZOqlUim2bdvG1q1bOXz4MJOTk3nAiM/no729ncsuu4zNmze/ZZLWxSqdTjMxMcHg4CCHDh3iyJEjKjhJZEUiubEDjJWVlSqttK6ujiVLltDa2kp7e7tiMJ5J27eXaZpMTExw8OBB5dc3MTHBzMzMotJBOQcih25ublYA8Fs1AF6s/uqv/krJpO65557XBBxTqRQf//jHlYz58ccfP6vPuv766wmHwzgcDu688843BDhedtll7N+/H4Dm5mZeeOGFM257wqASzyqRJ8v1K4s6U1NTTE1NcejQIY4ePcrMzMwp23K73UxNTfHEE08oAEHOt2EY9PT0AAteawLc2cF6KemPBYgRBroAEuK9JaxBWRwSP2Dp/4WhZRiGWtgTCaaAMALWSP8o96pCIPx0i0jSX9rZiolEgomJCcWUt5c8L58t9wphcMl3lcmteCYLuCPMSGGtZbNZpqen1fMie7XLVwUwExsUYe4LG9DOFpQJrfTtsvgjoJwAZPJdUqkUgUBASbKdTmcei67QBkOAPwEN7SCdHBcBtQS8XAwYLfTyleNZuE1p53IepD2IBYr9dSIzlteJ5Yu0ZzuwKG1Yjo9dViyP9n2R7RSCnXZJtR1ckWNWCJwLACjfSx7tIKgdmB4cHCSTySivOzt4XVlZqcCSubk55aEpMmc5DsApYKimaaq92+8n9fX1CnCX/tTOws1msyqYUNKmS0tLmZ2dVcdQ/FTtx0VkqvJdJbhncnIyjwlsTxC2rFwattgr2EFh2cd0Oo3f71dhIAKIS+K32+3GHU1S69SpsOYosdIUp0A3odyt4XNY6PNBKVg6lpZLZl6wdLQzFe251CJ/lntiLkDGtP0lIGT+yC2XD23aWI+6AzRjAdxb8GG09z3CvBSAMrdPbk1Ymfbty/6eWiY5oNLCBC0XSnO60YE1/wV0DBxabovxjMZoVqfeYeIiQV/oOC5fKSlvGdOeHPFidnaWcDis+jthHwvoXFFRQSqVUounsigjfYsQEYRoALnrSXynJdgoGo2qhTBZUFqyZAlNTU309PQoQDwcDtPW1kZJSYmyuhJPYAlnKSkpUYzepqYmBe47HA6mp6dVny1jTLl2Zc7i8XgIh8NqYcHpdCovVwEDpa+RPlz6htnZWUKhkPJxFNBf+nDxZbUvNNkXzt5qP8d3cp0HHd/G9ev2pDpf/3PKPjh+p5Tb7aajo4Nbb72VXbt20dvbC+QGTIcPH8bpdHLzzTdTU1PDhg0b8kJc3G43K1euJBAIMDY2RjweV5OHY8eOsWHDBtavX08sFuPEiRPKIPnqq69mx44dijH2yiuvUF1dzW/91m/leYG53W4uueQSWltbWb9+PQ8//DB79+5VaX/T09MMDQ3h8XjyvAhlZay8vFzdmOzJyjIZAhSjUUA2e8hMNpvlxz/+MaFQiGw2q1YfN23axG233XZaCWQqlWJ4eJjjx4/nAY0TExNEIhF1ExUfRhmEC0slmUzS0NBwymDd7oMi30NSpIXxIoy54uLic/Khi8ViaiJT6LdUWMKUu/fee9m7dy/ZbJalS5fyxS9+kfXr15/1Z7/66qt86Utf4pVXXiGVSlFdXU1XVxd/+qd/SlNT0ymgkd2Lyw4szszMKM+ZmZkZxTKYnZ3lxIkTHDx4kJGRkTxGaEVFBc3Nzcq/TpI75fzJxEFWljs7O5X3jICLfr9fMRiFTSqs1NOdi3Q6TU9PDy+88ALbt2/n2LFjhMNh5Ssq4RMXXHAB73nPe7jyyisJBALs27cvj2EnEyaRosiPZVmEQiGee+45Xn75ZY4dO5YXdKHrOsFgkM7OTq666iquuuqqX9ugTaTSfX19HDp0iO7uboaGhhgfH1em6alUSk0Y7YCL3++noaGB5uZm2tvbFdszGAyeNYMxk8nQ09PDkSNHGBwcVMnDdvablEh3JJW0sbGRJUuWsHz5cqqrq9+0Y3Ou9fDDDwM5tt4HPvCB13ztP/3TP3Hs2DE0TeMDH/jAKeDoa93PPvCBD3DixAk0TeN973sfd9xxxznv87p169SCxdKlS9m1axdFRUUKSJydnVUshpmZGSWNFEl9OBxW/p3i4SksDntYisg6T1fCmBCJlkx0dF1XzEapbDZLQ0MDq1evVoz+0tJSJfkXr8E777yTdevWUVlZmSfft4dPSEKwtHeZiKVSKSVBE6ZcSUkJxcXFCkiQPlG2sRjb1h7wUVRUpNJ+5dgIiG9ZFhMTE2oiafcvFGalyK8FWBIwX4Bf8eASgEvCR+rq6vK8/0ZHR9WikDDSZDJaXFyMz+dTDEqRe/t8PsXAsUsKNU1jenpaHQvDMPLC1uwglKRzy7EWUFTaRmHQSqFXph1QK5SAF8riT1d2ANL++jNdFCl8XeHfdtacnVFrZzTKWMLuz2kHs+R5+3GW+4IAvPI+n8+XF/Yjv9sDf+wWNnbmqIDT8h77gqGAtYZhEA6H6e/vV6+RtiL7ITJtGS+Jh5xd/m//Ecsg+8KCyOdlTFleXp7nrSzsXjlGsugnnnOJREIBoLquK8aa2+1W7U/u67FIBMPIMJFI4Jpn5qfTacUOEx9JCfwQ306fz6f2XcDOqqoq5YEnUtbM3ByZVJJUJksqncbIZGj2ZvDPaUymPGSzcRxWCodhYBogYKHgdpoBjsW008Z8yCJ2kbQdkJxnYdqCWSSp2iQfeDRwMGcYuOYZhqbhKPBhtIfA2BmVuc9LZg1mswZeh47HqbEY63IxT0gLA515woHlwJrPuT5daRro8/JrKd3KUmJAqcOBaWUwnBZz6RkmU3HAS4QiZU0knp6AavOSPC0+7LOzs8rnuaKiQjGvdV1X/q6BQEABjePj4wrAlPud/RqQELxAIEA6nWZ0dJRQKERfXx/V1dVqjiMgvljBRCIRXK5cWrtYOgkD0jTNPF9XAQbFKqqyslKBinY2vtfrVWPOaDSal/aeSCTw+Xz4/X6KioqorKxUAU/SP8fjccVKl0UAkaWLZYCmab8W0PGdNLe313nQ8W1cb4Xc6Xy9O8rlcnHJJZe84zomh8NBZ2fnKQlksViMw4cPU15ezuWXX64YEpZlMT4+zosvvsizzz4LQF1dHaFQSEkGwuGwYosEg0ElwS4rK1NAyksvvUR3d7fy1TNNk7vvvpvW1tY8FsKxY8eYnZ1l2bJlhMNhNE1jZmZGMTCSySRDQ0NMTU0pPzWRU0qYh52xIswMGZSKD09lZSXZbJbu7m527drF9u3b2bdvn7rBVVZWsnHjRj760Y+ybt26vMG+SAN6e3s5fvx4nnRaVudklVLMxMWfpLy8XPlCyv/tXk4yqZGBcGlpqdpfYTUKg+CNlEi2ALU6+VrV19fHX//1X7Nr1y7S6TRtbW3ceeed/OZv/uZZf/aePXv4q7/6K3bv3s3c3Bz19fV88IMf5JOf/CSBQEBNlAVYtIOLEsIgUlvxtUqn02oyMTMzo7wzZQAkjNbm5maWLFmiDOTT6TQnTpxgZGRETazLyspYuXIlN954I62trQrsFdBRWCJneg6mpqbYv3+/kjYPDQ0RiUQU66yhoYGlS5dyxRVXcPXVV9PR0aHayOTkpJqgiA+QDGYlJCAQCPAv//IvSiJqB0zcbjctLS1ccsklXH/99Sxfvvysz9e5VDKZVGD8wYMHOXz4sBoMRyIR5e0jMndhnfj9fqqqqmhpaaGlpYUVK1bQ3t6ufFrPpt3Pzc1x4MABent76e/vV/LoxQLkZPW+traWhoYG2traWL58OY2NjW/4Wnsr6n//7/+t0lnvuuuu12S8JpNJ/uEf/gHLsqitreXBBx885TWnu5/94z/+I88++yymaXLBBRfwrW99K8+D7fVKgJ54PE5XVxf79+9X+/HHf/zHfPWrX1Xs1omJCSXVksmVXUpq9zezlx1sWYyFKCXXgnipVlZWEgwGFWNVAqGamppIJBJ86lOfYseOHZhmLun60KFD3HLLLXz+859X+xCLxfjTP/1TZmZmePTRR7niiivyWJuxWExJ1VKpFGNjY4rZJQCPAFqVlZWq3y8vLz+FDbXY97aDjHZgElCS8MVK0zQ1mQRUf+LxeGhsbKS4uDiPoTc8PEw4HM4DOwV4s3v3OZ1Ouru7lU+XsOmFLSlMbwGYYYEVJqEIwuaKx+MKEJQfO6tT9s0uky70x7Q/2utsbK/srMXF/l/4v8JryA4MLvb+19qXQqCyEGg+XUDVa21PzuvpZP+L7aP8XsjMLPxdQEY767EwhEiAPQEh7WCf/D09Pa1YmwIsCFtKQvbsEm97AJJsT/oNaTf2dlsoXx8dHc0DagXkLGRalZeXK9BH+hqHw0E0GlWAeV1dXe7zs1ms0BCp8QEi4QkiiSTh9BwzEYPSsjLq6+tVv2cHZ4UZPDk5ic/nUz7CTqeT8fFxioqKaGxsxOV0Uuc2qSlxkU1lyBhOIqaPmKsY/5ROyawGeAlGhwkaOo5sCt0yEfagZkBh4Isqwe7mWZAaWgF70TH/tImzIIm6cCQp/EWnw6F8FE0z9+jSHfNujRIGkwMfLYy8QBrD4SCUdtDsyOYBgnk7ip5jNc7/X/ZDPCotHKA51D6ZtuflKOiApi+Ap7nP0ih35RiSM2mDw1GLUqdBbbHOnJFhxuGjvMKvQgUNwyAUCuWxp2XRx26RJAsgLpeLxsZGtTAlfaZcKwJki0JH7kdCGMhmswwODhIMBvH7/RQXFzMzM8Pk5CSJRIJwOKwWsGT+EwqFVIDT5OQkvb29NDQ0EAgE1D1HlD+NjY1KaSavF3a6MMxFpSULZJFIJA9AF5a/2ASVlJQo5ZGMxeVzZd4nxBanMxdCZmcMy+9vJYbzTsWHzns6vs3K7un4f/7P//m1+ladr/P1dqhf/epXfOhDH2JwcFBNVgTUCAaDrF+/nltvvZVrr72W0dFRXnrpJf7rv/5L+S3KTUCANknkCwaDrF27ls7OTiUPE0ZiRUUF//Zv/8bTTz/N1NQUJSUlrFu3ji9+8YtceOGFTExMKE+7gwcPKtr+7OysMhQXJpt9ciGr616vV91URdoq8jIB7+wrbiMjI/T19akJrySV+nw+Lr/8cjZu3MiVV17J2rVrcblcGIbB2NiYSswdHh5WrEYBUGTQLINfmUDapXH2gbVdeuX1evOk0gIyivffmxniISwXkTS8HstRwoBefPFFIpEIjY2NfPKTn+Szn/3sWX/uL3/5S8WWzGQyNDU1cfPNN7Np06Y8oFGAKZFRCWuhcAJqZ52IbLmnpycPXJJB+qpVq2hsbFQspKNHj3Lo0CElwSsvL+eaa67h1ltvpa6uLs8b6mzLNE2Gh4fZtm2bklDLQE8A0IaGBi6++GKuvvpqLr/8cpVkaK/jx49z9OhRJiYm1ORNGI7Hjh1TLGJ7kmVpaSnLli1j/fr1vPe97/21+BYLoNLb28uBAwc4fPiwSnAWFpIsHAjIKNYNdXV1tLa20tHRwbJly2hvb8fv958Corze5x84cICenh5OnjzJ6Ogo4XB4UTaYpESKPHvZsmWsWLHirMC0/991ySWXcPjwYQKBgGIFna4+/elP89BDD+FwOHjwwQf5yEc+ckafsW3bNm6++WaSySTBYJAtW7YoGwUBm8RnTa5bCcgaGxtTMvXJyUl2796dBwhKkqeARrJNqcUAETuQIdYT0u/7/X7FMC887ytWrOCRRx7h4osvPvMDPF9PP/00n//859VCGuSSq2+88Ubuv/9+ioqKCIfD3HbbbUQiEQKBAP/8z/9MfX09sAA6Tk1NKSmZAD7S76ZSKcXYEhbUYjJn4BT59umuDwGoRI4nMlG7x50d0IzH44yOjqrPlUeZLIskTxiLwmSzv8b+P5E2i2dhKpVSTG27r6MdEFqMQXgu8yc7gGYHxuBUCbG8frH3LyZPljYo75WFIOmr7DLiwmvSvk3733bArlDWbf88YdJJO7Bvz87WlHNgP4/SdiXNG1DHXc6D/XX2cB27L6P9ebsPYeF5swN4i50Hu5za/r0BJYW22+TIAq3dR1JAATkHwq6VRVkZO0lIkgToSfsUlrOduZtOp9Xir2xXrhH5LrKwbQfBi4uLc4uIbjf+shKKSkqp1rNUzE1TlJhBtyxSmQxjczCYdTGWdSiGpGmaivEvi4rC8pTxQlFRUc7bzsjisCxS2SwXVJWzosJDJWkayr0U6WB6ipn1VjCXTqMloiR1N7WpSXzRMbKWhiObxmcm0Q1YnC0oZcwLnXMg3muNPhd8HY0C2XO+YFo4jKbFPGsxFwiTA/hOTczOvdfAwkHKgrTTQRkGzrx9t5dOZp47qedtJ5eAbZgaMVOnzLkgATfI4ZCaYedVLny+AUQNSGQhBbwccxCx3LjdLlrcBv0pjeNaGVktJ7kXcE1CXKLRqJqzAKovLi4uVmnrssguNgCyECSEBWnzYqmh67rqU0UdIpJu8fsV6xFZ2Bblllg7lZaWqjYvIL7sl9xXZ2ZmGBoawuVy0dzcrPqDRCKhAnFk/2pqamhvb8+zd5iammJ0dJSpqSncbjeNjY1UVlbi8/mIx+Ps37+feDxOIBBQ124ymSQQCFBSUqLuKV6vl8rKSnU9ykKd1+tVdltvYb3jPB3Pg45vszoPOp6vd3MNDw+zZcsW/uZv/obp6Wkl5+zu7iYUCila/cqVK3nve9+Lz+dj9+7ddHd3k8lkcDgctLS00NHRwfLly3n88cfZvn27YlT4/X4uvPBCrr32WlpaWmhqamLt2rUUFxcTDof5xje+wc9+9jPGxsbweDy0t7ezceNGysrKOHHiBAMDA2pSI0Cm+F6VlZUxMzOjUmPD4XBeoqCshNtXjWXgapfT2ZMWBQRxuVwEAgHWr1/PHXfcQVVVFX6/n0gkQm9vrwoVEbBRzL5F4iOfI2CKSBkAZXAuoKcYQItXlz30Rfwd30yQsbAikYgCmauqql4TsBgYGODee+9l69atTE9PU19fz4c+9CHuueee193HwsH8z3/+c77+9a/T3d2NYRgEAgEuu+wy2tvbAfKkbnKe7AwnYRzIQMc+MRPpcl9fH7FYDNPMpe/V1dVx1VVXsXHjRpqbm6mqqmLHjh08+eSTimFQUlLCNddcw2233UYwGHxDxzabzXLs2DGee+45tm/fTk9Pj2IrSntub29XwPbq1atfUyKyf/9+uru7iUQiDA0NcfLkSQYHB5UXGeQmQn6/n87OTq699lquvPLKt/y+JiD8sWPHFMjY39/P+Pg4kUhEDaRhASgRJmNTUxNLly6lo6ODjo4OWlpa1CD9TCqZTHLgwAG6u7vp6+tTnqmLAYwej4eqqiplrr5y5UqWLl36tmQvnmlNTk6qdNdbbrmFH/7wh6d9bTKZZMmSJcRiMZYuXcqBAwfO6DMmJia47LLLGB8fx+PxcPfdd7NixQoGBgbo7+9nbGyMcDjM1NRUnsxZ2Il2ZlEhs1T6RTuoYpdgSl8v3p32UJ6mpiblrSrM12eeeYbvfe97/PKXv1ShWA6Hg6amJu6++25uv/32czzSuUliOBxm69at/OM//iMnT55U/VBJSQk33ngjP/jBD+ju7ubTn/40c3Nz1NTU8NBDD1FaWgrkmM5jY2MqRVT84eTYiGRNjoNM2gSIE0DIDtDZAUS7rFz6S/vf8n4782sxlqCEUEifXVh2cE5UB7FYTElRZQIr928BNV9rDrQYi1BYoPIoE1IBmuzgkiw4SgCehCTAgt+i+PjJcRPZq9xvBDATtqY9dVzart2TsZBta//9TJmHdh9F+c7ytwBPsCCNLgQZ7Z6eYg3g9XpViIP0uXbAotCbVGTO8pmwwDq1ty85n4We0naPSjuALcfPPtayJ5zLj/14Fh43ARfkXm+XeRcCs/bgH/tCrpwzO+NVvr+0JznGYpsiSgbZjviv+ny+U3wbXS6XAnEz6TTVeoYyKwWZNE5PEX6nRYVTwyqtIOv2UaKZFBkpor4A/a5KMllDAZalpaWEQiGGh4eVt7O9fczOxmkq0ik1kmRTCeYMg2JzjmIri9fnpdSp0eBzUVHkRC8NkPbXMJc10bNz+CYHKJpLkna48WRTeNPRhQO9uA1i7ryQA/1MHDgoZDAuAJYGImPW0OcTqNV5ZIFRaAAJc94/EihzgHMeEMwPkFl4r2FBFoO0AegOSvScH2T+vucA0qyVAy9Vivb866z512WAhDHv6TivLs9aMKflJOJeDFxqLwy0+e8WysJoWierOTiWcZN2eQkUuSi20gwabg7PuXE4XXmLUkIssNu/2FUq2WwWvz/HjpyYmFDtSuYwlmUpT3lAkTjEg7S4uJjBwUEikYhiNKZSKdWGJVRIFnpKS0tVnybMePk8kW5LmxNPSSF7aJpGdXU1ZWVlZLNZtR8TExPE43GlTrEnTrtcLjKZDP39/Zw8eRKn08mSJUtoaWkBctJr8VmXuVJjY6O65iSpW+6ZtbW1JBIJJV8vLy8/o+DLN6HecaDjO3dk+y6oxSYp5+t8nUmZpklfXx+tra3vGIm1ACLisSQMu66uLhKJBM8//zy7d+8mHo+zZ88euru7lYmx/Ijk8aqrrmJ2dpbLLruMWCzGq6++qliP+/fvJxAIcMMNN7BmzRo1oQgGg9xzzz1UV1fzox/9iJ6eHvbt28fRo0epqqoiEAiogWAgEFCsv6amJhUYI9KDUCjE4OAgfX19hMNhpqenlX+TTKTE28s+gAXUwFUmtrW1tVxwwQWsXbuWdevW0dzczIkTJ3jhhRcYGBhgeHiYoaEhxbSU9wvQaE8qtvuiySBDDJqFVWgPHIlEIrS1teUlPoq/i/1HJhxvFIy0y9peT1bd39/P3//93/PCCy8wPT1NVVUVXV1dfPGLXzxlP2RyIj4s4XBYtYfJyUn27NnDU089xcTEBABlZWUsW7YMr9fLyMhI3sRAJvV2RondUF4mnsIMCofDbNu2TcmpnU4nVVVVbNiwgT/8wz9kzZo1BINBDh06xHe+8x2OHj2KZVn4fD7Wr1/P7bff/oZDVFKpFIcOHeKpp55i586d9PX1Kamgz+ejtbWV1atXs3HjRjZu3EhNTc0ZnUun08kvf/lLduzYwcDAAIZhUFZWRkVFBdXV1axZs4bOzk7e//73v+Gk79cque7EJ3P37t0MDg4yOjqqrj0Z1MqAu7q6mqqqKhobG1m2bBkdHR2sWLFCyTfPpN+cm5vj8OHDHDlyhL6+PmWtUHjvlsFqTU0NTU1NtLe3c8EFF9Da2nrGbMl3Sv3lX/6lYlYvJpWWsiyLu+++W5nB33///eo5SSkWy4JwOMyePXuUfcVjjz2mUnUB7r//fgXc2JlPct0uxkwUBr29Ojs7qampoba2lrq6OhoaGhQgLAs9Z8Ps/trXvsZDDz2kFqtkUvcHf/AHfPe73817bSKR4IEHHqCuro4//MM/PKPtC1h+4403ct1113HgwAHuueceent7icViPPbYYzz55JP8x3/8B5///Of5u7/7O4aGhvjkJz/Jgw8+qO49wrAS9kk4HFaLZgLWCYBxpnLbs6nF2HzCIJO+1u/3q3uMgDnT09OEw2FmZmZUEIFYiEC+dFgCA2TMYG8P4lEn98DS0lLlSVxTU6MYMLquc+LECWZmZhgdHVVS+5mZGWWpIaoECZwSUMwOvp7J2P5sjuXrsS8L/2dnE57rfizG+jydpPt0rylkTRayKuU8CTApoL89BV2UAeKDLYuq9oAJCUCSz5Kxl519KWCj2KLYFQuyYDE3N6eYUcKWBfICvexgqrQtwzCUNFnGEHZQVsBlOSeybfnfzMwMAwMDilUox0jak7392hcHhEVWRQqPNkeJnsHrcmKkI7h1yDo0BhMmnqIE0w4H1dkYEa/BbLFOImOofnhqaoqKigpWrFiRFzwo37u9vIgqI0aV00DzuEjOWXhMJ7qlEUomcXs0wtEk7iS4ZiNooRG8JWXMeUrIOtxkXQaa00VKc+BOx5UImVMAvAVmYgYwrdwrPVohJLjwxpws2u6nuABIim+jPWzGoeeAEYfajj2wZmHbGjl5s2Y6cOoGWAaWlQMRtQIvx4xpETdMnLpBsWN+G8b85877SLqNHGBpANp8cE7agv45SFo6lW6dgMPEZRrolgOXbpDIQk/Swa6ohdOco8GXpTibJJ2ASWcxYZcH3eFU7VLakrQ7AdTtiyiiFhPwvKysDMMw1GKInUWdSCTyQMTJyUlGRkaor6+ntbVVXZ/SL8fjcUpLS2lvbycajaoVFQmUAAAgAElEQVT7ovQDAnjOzc3hdruVD66QJYThKyx1e1q7LPaIT6R8D9kHkYtLmJgwNkVeLu1cFiHE91TeL7730neIfFz2XdiXyWRSWRlISaq9qMvejLL3Ie+kOg86vo1rMW+n83W+zqQymQyhUEiFUbwTSvw4ZLAlk42Ojg4VBPODH/yArVu3qhXX0dFRfD4fTU1NdHZ2smrVKi6//HLFAIzFYqxduxZd1zl06BDT09PEYjF27NjBww8/zF/+5V9SVVWl9sHr9fKRj3yEsbExpqenGRwcVHLaUChEa2srra2t1NbWUl9fT11dnfIpEWPvkpIS3G43zc3NrF+/Xkm/ALUSJsnasjotxuHCMBR5ZXNzs5r8GoZBf38/L774IqOjowwNDTE6OqpunmJwLINoSc2MRCKKFSDPw8JETLxO7J6OIp0YHx/n2LFjSgrk9Xrx+Xx5AQJ2byS7vHCxx9e6SYpvFqD8uwpLBj/9/f1861vf4rnnnmNycpKqqire//73c++996pBSSqVUpLK8fFxpqenmZycVMdemCSDg4O8/PLLKl2yvLycFStW4Pf71aTMLmWzszPkWBUXFys2qD3F/D//8z/Ztm0bvb29KpFv6dKl3HLLLdx0003U19cTjUb58pe/zPbt21VIUGdnJ7fffvtZp24XVjKZZN++fTz++OPs3LmToaEh5eVTVlZGS0sL69at49prr+Wyyy6jrKzsdUGwdDrNf/7nf/Lcc88pH1Tx39R1nerqan7nd36H3//936ekpIR9+/adMxjxWpVKpRgcHKSnp4edO3fS3d3NyMgI4XBYBTbIILWoqEj54zU3N7Ns2TJWrVpFR0cH9fX1ClB4rbKsnH/s3r17OXLkCAMDA4yPjy/KHvJ6vSrcZdmyZaxevZqmpqY3/Ri8HevnP/85gJp0LFbZbJZwOMwjjzyCaZoEAgEmJib42te+psBiAZMkyEeYYYUhLPaAn8JrVJhmAoTX1dWpRaIDBw7w8MMPY1kW5eXl9PT05N0L3kjFYjHuvvtuHnnkEaLRqGKcb9y4kX/913+lpqbmlPeEw2F2794NwOjoKF/4whfO6LPs7LlAIMDzzz/Prl27+Ou//msOHjxIIpHgySef5DOf+Qyf+MQn+Od//md6e3u58847+cpXvgKgZHPi6xUMBtE0TUnbCpl0dkkqkNfHCyAoC1/y2kIm2GKMf3vghzDdpqamOH78OOPj44yMjDAxMUEoFGJmZuaUa0+8u+zHRvrn4uJipqenWbNmDYFAgNnZWaanp1WIlPjzDg0NqXuzsBDP1pvw9WqxPta+ICjHQX63h6nI/2WS/Vp1OrDxdCCl/XkBtGQeIo/SDuSY2GXOUnZG62LApP1z7CzG0+3jYrUYC1XKzkKUcaRdVeJwONQYQxiokswr47mysjLlgyfgjIQaBgIB9XcikTglMKpwIVbUJJJWbR9ziXpEvPAE/JexTjKZVP5ysihbuAgq45mZmZk8NrKu67gcOmWlYLkMjs4ZTKdNAh4Hq0t15oBJY4ako4iA103WaTFixRgpSuGdZ4bJ+HFiYkIx82tra5mens6xj5MJ6oxpmpklaVrouoMyj0W5ZZDNGpS7i3BbGbxWhkqHhZXN4jDSpKfiJB0+Eh4faV3Hk07isgwyDg8YyXmfxvk2MN/MTQOy5MC6NBppNHyaeYr0eaEWrg+tAMG05h9Fcq0DJToqkib3mkLAkrzfcyClhm4teC3mQmqEITkPUOoapuEgmjHAglKnMQ9jOual5Dl2I9Z8lrYGhgmxLExmNQzDJKibOZDUoaNhkjEdOVAyAQfiUFvkJpPIomNiudyMzMwykIiq9i1tUe4X9mAuaUNyLUn7k/uCBKfIPUL6BZ/Pp+6vEuo1MjLCzMwMU1NTNDQ0KPKIAPiyOL169WrFpBT/RWGzS/9fXFysWJbZbFbNrYR5q2maGruFQiF1zUQiETXfEQaky+VSoKDMM8VSyOl0qvmA/X4n9yi5pkUxNz09rRY90um0Svy22yaJDYKMX07XV51rZTKZd8zc3l7/Y0HHrq6uJUDfGb78li1btvz0DXyWC/gk8CGgA/ACw8DTwDe3bNly4ly3fb7O17uhhCovA31YYKSsWbMGh8PBpZdeSl1dHeXl5TzyyCOMjo4CuQmeDMra29sZHx/n+PHjSkLlcDjYvHkz69atY9u2bRw9epRwOMyWLVuIRqPcc889tLW1kU6nOXnyJDt37sQ0TWpra5mdnVWy7pmZGY4fP05ZWRnr1q2jvb1draCJF1YqlcLpdKrk6+LiYoLBoPK5k9Vv8ZASP0C76beshsnNdGBggB07digvuOHhYeWvAwssu9nZWSVlEMBFbqD2x0LJoEzyIH/iAznQ6uWXXz4lEdJuiC4gpDA/BXSTH/FqsQOSMqiw+0yKrE9SRqXkuIp84ejRozz66KNs27aN6elpgsEgmzZt4mMf+xj79+8nFAoxOTnJ5OSkWmGUFU67NM2yLMLhMDt37mRmZiZPBtzY2KhMsmViIp44Epwj4LBMauW4OJ1Oent7+eY3v8nzzz/PyMgIpmkSDAa59NJL+cQnPsEll1xCUVERDz/8ME899ZSSiTQ1NXHrrbdy/fXXv6EBSiwWY/fu3WzZsoXdu3czPDxMLBZTgEJbWxsbNmzguuuuY9WqVWc0eNm2bRtPPfUUBw4cUMAl5CwLrrjiCsrKyhR4bpomW7duZeXKlXmT0XMpYVql02kmJycZHR3lyJEj7Nu3j5MnTyrJtF1aJhKYYDBIS0uLAhlXrVpFQ0PDGYGM6XSa48ePs3fvXo4dO6bkQoWT4aKiIqqrq2lubqatrY0LL7xw0YTzd0Nt3bqVyclJAD7zmc8ocEjO2+DgIIODg/T39+fZXoRCIf7kT/4kjw0G+cwo0zRPkZ3X19dTUVFBMBikpqZGBfw0NzcrcLGiouIUf8HvfOc7/N//+38Ve+Hxxx9/0wDHkZERbr/9dn7xi1+o+8Hq1av5h3/4BzZv3nza9zU3N6vfd+/ezQ9/+MMzZjxKSX+6adMmXnzxRaqqqrAsi9bWVjKZDEeOHFH3gJMnT6rFJUB5OBb63S3GEl3sf2+kEokEAwMDii08NjbGxMRE3oTtdCXM/OrqauVd19fXp0KhhoeHSSaTionzs5/97A31SXYVgd26RIAlt9utACxZ7BCJalNTExUVFaqtiTz/7V52r83Cx9P9zy5jF9AqFAqpib4ERQiQEY/H1WKRgL328ZHd21H6Cbu9SSHoaX8sLHt7LWzPhWxLu2+dMMH8fv8pEnEZb8FCErVIywXMkG3J5wAKXJEwjOrqaqWcEfBegMepqSn1/SE3vnQ6nViWlSdlFSbY3NwcZObw6HN4HDopXafIA04tg08zsExYYs2SSCeIpjQOpXWGDDcj6ZA6j/Y+VwDN4uJiqqqqME2TJleGakeGMiODT4cS5tCzJj4tC7qGRhanZuFgXhKtgYaFFwPTmGUoYeF06HjJYOkQs3SKNRe6ZeKaD1xRZ8uRg/E0E9x67nencWo4DCwwIuFUFuR861BS5byQmXnwz5z/UMs6FbC0V9q0csxIDcWcXPjsHPjoxEGJA9AcOHWbqNsy0DQdHQ3LygGqxvw2suSk05qlU6obuAG3BpgWWT0HZLqcUOuxqPNoVOhZLNPA1B2MxNKENA8lxR6MuRSRZJLi0lLlVRyNRikpKVHjoEwmQ3FxsWI9CvtPrkHp3wA1FtM0jXA4jMPhYHJyUo3/dV1Xi4ZDQ0OKOS7sZPEHjUQitLe35zGYS0tLlS2GsBdlP4QNLH2msJclwKa/v1+FgoVCIcVylPmhhDfZvX8Nw1AyaLEuKCkpUTJtud4FNPV4PGQymTyrJWGMBoNBtRAm96FQKMT09LTyZRf59ru5/seCjr+u6urqqgaeBdYWPLUU+Czw8a6urt/fsmXL47/2nTtf5+sdUnITEGPfoqIiBUDaB4gNDQ1s2LCB//qv/2J6elpNSKLRqAoDWLp0qaLBFxUVqSCIzs5OfuM3foMHHnhA+Ws999xzxONx7rjjDtLpNK+++iq7d+9mdHQUr9erwCdJShOZqmVZbNq0ifb2dkpLS9XgVxhupaWlVFVVqZVAAd7OtMLhMEeOHOHgwYMq2TYcDucZ/TscDkpKStRnbtu2Ta20WZaVJ0+Twa4d/JNBr91Hy+6fJDICGWDIAN4OTMrvdsBNJIQC1tm9Ie2yxfLycjVoF9aAy+Wirq5ODaztQRADAwP86le/4qWXXuLQoUPE43F8Ph+NjY3U19fzs5/9TJ0jmawI+9TucyUTiZmZGfbs2UM0GsXpdBIMBrn22mtZtWoVfr8/L5VbwFM7uLgYy8QwDJ5//nm+9a1vsWPHDuLxOG63m4aGBrq6uvjwhz9MU1MT+/bt48EHH2RoaAjLsigrK+N3f/d3+fCHP/yGVi9nZ2f51a9+xRNPPMHevXuVv6LD4aC+vp5Vq1ZxzTXXsHnzZpqaml6XKSNS1u3btys/OshNlDo6Onjf+97HDTfcgGEYSnYl4UehUIju7u6zavfSDoThEY/HGRkZUd6MAjKKUbkMREV+EwgEqKmpYcWKFcqSoK2t7Yzk0slkksOHD/Pqq6/S3d2t5JP20jSNyspKGhsbWb58OWvWrGH58uVvqcfp27UkpGBmZobp6WnGx8f54z/+Y5V4+fOf/5yHHnpIeSvJNSmAgV3JIR5Rdg80WdQoKytTycm9vb0MDg7icDi47777uP322/OAszOpH/7wh9x7773Mzc1RVFTEN77xDa655po35Zjs2rWLT33qU+zbt49sNovb7eb3fu/3XtPX0l6f+9zn+MY3vgHAU089hcfj4fd+7/fOaV8kjEsY67fffjuzs7M5uWVVFZ/73OfyFnd+XTUwMMChQ4c4cuSICvIRhvvpqqSkhEAggNfrJRwOE4/HSSaTZDIZDh48qKxFRO66WAkQJgtogLpXCQtNmOu1tbX4/X6qq6upr69nybzf6jsBIHwrys7APJuy+ybX1dWd4pkoPwIa2v+We7YdyJN7uixQJ5NJJduU+76wrAS4FMBSGNHS99g/x+6dKWMhWUADFMtLno/FYqcE+BTeX+SzCv2e5fUStiTt0d4Gy8vLqa2tpbq6WgHYAmaLMsY0TQWulJeXU1dXR1tbG4lEQrHKXC4XmAbByDCBTIQ63Y1b0yiZDVGWimCZGSzDJJ01Gc9YJGY1BqMGlrUwrpPxUzKZZGZmRo0Djx8/jsvhwFGhs7zaxZTLQYlTw+Gw8DnnwUEsdHJgnoANStCvg8+yqNLTTBo6OnM54E3zEEenBEOJmjU0tPnMaA0LdHAaFppmLSrBVu1v/lHuNE6Yz58G+xt1DAwcZAF93vbRAhyS6KLKYfscCwsTt57zgZTnNczcPrIQ9oJl4NShQtfRMRWIqmu5hG2Retv3z9LB79bJpMHn0PE4coxOywKXCYZm4dR12iq8TLqdlJgZdMtgNpXGo2s0Oiw03aS4wkdWczA2ZzIxlwKKqKysVEGY0v6EmSfkgpKSEnW9CbDW1NSk0tsloToSiZBOpxU7sqysjGAwqEDwTCbD9PS0WniRdOrBwUH1ekmIbmxsZG5ujunpaWWX4fP51OckEgkFhIs3uvhAFhUV0dLSosDDWCymbKHS6TTBYFARGsbHx5UKRsBSWfzIZDJMTEwQjUbRdZ2amhpqamrwer1qoUSAxWAwqBaahEwifsLSB9mZ3G+lxdA7pd4toOMngUde4/nkuWy0q6tLB55gAXB8APguMAVcDtxPDnz8SVdX1/otW7bsOZfPOV/n6396ud1uQqEQfX19pFIpWltbicfjRCIR9u7dy6ZNm4DcRGr79u1AjiUgINPs7CxjY2OK2dDZ2UlHRwe1tbWsWLGCiy66CJ/Pp+TQ999/P1u3biUcDvPCCy/Q29vLihUriMVieTT75uZmli5dSiwWY2BggKGhIeLxOPv27WNwcJCLLrqIK664gpaWFuXjUVdXp+TIslp9JmVZFsPDwxw4cIAjR44osFGMu+3SQb/fr26EDoeDV155hbGxMUzTVBOnsrIyBfyJiXIhWGZnFBUmLmcyGaamptQKp0gOxLRdJniyEimDemEeLCZtEn9Jn8+H3++ntrZWMUGqqqqoqalRHi8ScCApzseOHWN4eJipqSkMw8Dr9VJfX09LSwuDg4NqIC77IJMC8XSS/fB6vUomFY/HcblctLa28tnPfpZNmzapcCC7uf2Z1OzsLD/5yU/4X//rf9HT06NMpleuXMnHP/5xrrnmGnRd57777uOVV15RUsarrrqKz3zmM29oQptIJNi1axf//u//zp49exgeHlYDysbGRtasWcPmzZu57rrrqKqqes3vlM1mefLJJ3n66afp6elRkwxZqRWrA5GfT09PK+CvtrZWyVLS6TQej2dRppJdOibXsD3kYXh4mJ6eHg4dOsTAwAChUEixViUoQNIQA4EAF110EStWrGDt2rWsXLmSysrK173uUqkU+/bt48CBA/T29jI2Npa3r+LHVV1dTVtbm+pH3k3Ag4CB0WhUXY/Dw8MqMGhoaEgBR2JdADmW6FNPPaW2YffWk0mslBzf6upqWlpaaGtro729XYWyVFRUkMlk+MY3vsGvfvUrvF4vGzZs4M///M/P+vs88cQT/Nmf/Rmzs7O43W7+4i/+go997GNv/EABP/vZz7jrrrsYGBgAcgzYr3zlK2e1n1deeSVbtmzh+PHjapsej4ebb775rPdn3759Sq757LPPAjlm1O/+7u/yiU984qy3dy4VDofV/WxwcJDx8XFlxVBYTqeTiooKxUCXxHHpE14PVJSS1F1h34s/cVlZGel0mksuuYRly5a9q0HEX1dJH7rYwpMdkLSHs8k4BMgDI+1BMX6/P+++pOu6Uo9Eo9E8xqR9EdIOLspCsdzn7YunAlZMTU0RiUTUGCwSiTA+Po7P51MsTrvvqX0f7YuchWOuwrAaGTPJ79JnChgpPpbyaGdYyrhGAJ2Ghoa81HK3243bUYSZiFGamaHcSlJmpsg6XTg0N24MKq0sVUWl1HkrubyigemiCkJWbvEzGo3mwuZSKbJzScbCk0xN52SqWjqF16GRSBtMzaa52O/E49CxjAVWoxNw6At8RZ3cc5oJLixKyFLi0CjCQgMSzDGb4/6p16bJsQn1+dfM57ZgspBArcmLFymdU4HHhRII0iBjgaU5MOfToheNxVZYpYY17z6paQv7YVg6bm1Bap3K5gBHpwaGaaLpOc5n7t1SObalBrjnv0vWzEnISz0uSkmjazoWJpY2n8htgVOzKLIytBXpDJslxAwocqZZZSZIZQwyukaRG+YyaXxeF66sxpQNhJOUarke3G43lmUp1Yh414tySoB3kU2Hw2HKy8sVICgBUjLGn5ubU2CkjN8k9EXsqwKBgAp7k0UhUXqVl5crBrQEI8l4U+xuhPEowV1Lly4lk8moULRoNKqAS7/fr8akQmjx+Xy0tLQoRVsgEGB6ehq32002myUYDFJdXc3Y2JiaY4mHam1tLZWVlUxOTjI1NaVIH9XV1Xn7FIvF1KLCu73eLaDj3JYtWxYf6byx+ig5cBHgvi1bttxje25LV1fXTuAgUEkOgNx0Nht/J5qEnq+3R9lDPt4JlU6nOXr0qLq5bNiwQQGQDz30EBs2bABg79697Nmzh3Q6TXV1NUuWLGFiYoLDhw8zMzNDPB6nt7eXTCZDZWUlN9xwA2vXrs0b9K1cuZJ7770Xt9vNk08+qSjwfX19NDc3KxltcXExlZWVtLe3U11dzdTUFC+99BIHDhwgFAoxNjbGtm3b6Onp4ZJLLuE3fuM3WLJkCcFgkPLy8jNmBRiGwdDQEHv37uXw4cOcPHmSsbExlewmg2Cv10tlZSWVlZUK1CkuLiYWi3Hy5EnleSIATF1dnTJV9ng8eebQ9gGuDIIlaEXSnOfm5jh27Bi1tbVK4ixyC/kRtolIlwU8sm9Dti0DkImJCcW2LJRqV1RUoGmaMucXk2jxLBJZkc/nU958IiUSkFFWbiUxU8IBKisrCQaDpNNpvv3tbxOJRHC73Sxfvpyvfe1rbNy48ZxZhsPDw3zve9/jpz/9qWIvVldXc+211/IHf/AHdHZ28txzz/Gv//qvRKNRNE1j6dKl3HHHHVx00UXn9JmQCzLZvXs3//7v/87OnTsZHBxUgEpzczMXXnghN9xwA9dff/3rGlj39fXxyCOP8Mtf/jIvpCMQCHDllVdyyy230NraimmahMNhotEoBw4cIJvNUlZWRklJiRrMzc7O0tjYSHl5uUoRtgdSFKbGJpNJBgYGOHz4MIcPH1byHGGwyARKUjz9fj8NDQ1qUWD9+vWKDXW6ZOxMJsPevXvZu3cvvb29jI6OKlsDWPA4bWxspK2tTYXg2D3i/qeWMEwnJyeVLKqvr4/jx48zNDTE+Pi4moDLdWiXQUO+B7VdbipsZ2GNNTQ08MADDzA3N0dLSwuHDh163TRzXdd58MEHMU2TkpISfvzjH5/1dwyFQnzqU59SYU4f+9jH+LM/+7Oz3s5i9fWvf5377ruP6elpNE2joqKCxx577DXl1JBjNj7zzDN84QtfUFLqD3zgA/zd3/2des2jjz4KcFbA48jICF/96lcVw8rpdHLVVVfx+c9/XqVWv9mVSCTYt28fhw4dYmhoSHl7LVZyj5ycnGR4eJh4PK4kd68HLNpBRfFpra+vp729nc7OztOyVuX6v+iii86KfX2+3pp6LUBSwMbFQEk7ICnPiTxUfIpFFinjEAEfZHFUQBJhQcrYJZlMqnGSx+OhpKREjZ8kEObEiRPU19fj8XjUomoho1HK4XCoYMGpqSn1eeIDaWdr2kFMO+szkUiQSCTyJOAigZXjKGN9GSdKnyvfxel0srTCS1uZm2VFBu1FJhndhebQKcIgg8FcOkp8TiM9m8ZVs4TyumU4nC7qamspS8fwJCNo2TQWGnFPKSOjo6THBymNjFBtRinKGngc4NDmFTHzwJtTFzaf7dyzAPy5syZOTZ/3K4RiLFwYKpFafqQMIIuGiYVlamiWheWY90QsYD1mWfBKlLRpTTsd8JFLljYwctvVdRX2IvsmZZmojBknuddEzXmg0IAK13wKNeB2Oua/g4GmgXaaSG4TA8PSccwjmDpQ6zSYMw2cmo5pWczNHwvTMNE0nZRhkTUzOC2LUNLC7fGSsHQqXDoZzeDIrMHUrEG1z0M5KUKpBKFYBHQHExMT+P1+mpubKSoqUsomSYyem5tTqgIJUCspKVH+kKlUiqamJuLxOCUlJYrdZw91EcWTEAGi0SgnT55UlicyvhMSQUNDAw0NDcpvVa4xp9Opgg+lb+jv71eWQel0mqamJurr60mn0+r+IL6UMkdIpVLK8iIUCilrltraWkUw8Pv9yiImk8kwMzNDMBhUfYkwi8U2y+FwEI/HOXLkCMPDwwQCAcVKrqysZHx8HMh5xb+ZljvvlLl9Yb1bQMe3qu6Yf5wBvlr45JYtW0a7urq+DtwHbOzq6urcsmXLq2e68fMDo/N1ruVyubjkkkveMR3TiRMnFBhTXFxMa2srbW1tHDlyhJ07d7Jr1y7Wrl3Lyy+/rNJhq6ur8fv9NDY24nQ66e7uJhwOMzc3x8DAAK+88gorV66ko6PjFOCgvLycDRs2cOTIEbXKNjMzo3whq6uraW9vp6WlhfLycqqqqpRXWEtLi0oAjsfjKmymt7eXjRs38t73vpeOjg6Ki4vVDXqxMgyDkydPsnfvXrq7uzlx4gRDQ0PMzs4qiaH4nEhIiWxv165djI+P09raytTUlJIIX3DBBdx1112sXbtWyZcLPYsWK7uhe6Evk91DyQ5OyiA9Ho8Ti8WUD4v8HYlE8mRQAjpmMhni8TjpdFod88LEWXvCpz3tW+SWjY2NtLS05Mm5xaDd7vElvn4iUZqamuLOO+/k6NGjmKbJsmXL+Nu//dtzBhwty+LgwYN8+9vf5plnnmFychKXy0VLSwu33HILN998M16vly996UscOHAAy7IoLS3lgx/8IB/5yEfOmAW7WNs5ePAg//Ef/8FLL71Ef3+/Ym22tLSwdu1a3ve+97F58+bXlFBms1mefvppnnjiCXp6evLk06tXr+amm25i06ZNef2IhMWIb1UsFlP+qsIsDQaDitFUU1OjnpdjJqvmw8PDHDlyhMOHDysLATHll/MtwEJ7ezsrV67k4osvZuXKlfh8PuWXuRiQks1mOXToELt376a7u5uhoaFTQMaioiIaGhpYsWIFa9asYfXq1f9jJTByHUejUSYmJhgbG2NoaIgjR45w/PjxvPCWZDKZ58cm77fbKohdg8fjobi4mJMnT2KaJsXFxXzpS19ixYoVLF26lPr6ejXgNk2Tu+66C8uyKCoq4r777ntdwBFyKdDhcBiAP/qjPyIYDJ719+/q6lIgWFdXF1/+8pffFObBbbfdxo9+9CNSqRQOh4P29nZefPHFRcNiCuuZZ55henqau+++m4qKCm666SbVvg8fPqxe9+ijjxKNRl/X4zEWi/HAAw/wi1/8gp6eHiAXOPLggw/S0dHxxr6orRKJBEePHqWnp4fe3l4V4LRYFRUVkUqllARaJHeF1gX2El9jO6i4du1aLr30UlauXHlO+/xOGxO9m8tu21JYdkBSFjPtCx4C1rlcLpX0XFFRodQZsvAlgJ4wsIQZKX8LQCj3aOnrZLwpUlRZyBXGpYCpYklTWlpKdXW1uqcJiFJeXo7f78flcmGapho7SaDR+Pi4WhC3j6Nkv+y2OPK7BM04nU7C4bDypdZ1nbExJzsdDq6p8UCVh2KnRsqwqPc5SWgaRU6dmfAMmsNFX18/e7RXqaypZ5nfS4vboM6K40mnQNPwOlxUONyk3FmaXVE8GDA/fDItB2kTXOSAPtPKAZDzZwdYABw1cmy9tGGAlnDUb8IAACAASURBVHuPAwceFpKdIR90nI8MwwScVo4tKGEsCnS0Bc+YFrjmvSBNI9/rsbA0DJyAMe+7aKKTtnIsRacNKzQBbX5bJhC1IIMDh25QouVYiJgGTt3mFYkDS5MQm4WQGm3+uBiAYZkYGlg4SJhg6jq++XCbWc2BqTsosXIgsW5aTKQMLN1BKpNGi6cIxWap9Tkxi3MJ2GPxOUzLYsww6Ch14tE1NDPLbGpOjdPD4bBi8wHKQ9TlclFSUqIYfGLNJEogYTKKNZHYXaXTaeUZKeN2UVvJdSgLvF6vF9M0VdseGBggEong8/mU16nf71djQgnBcblc6v4hITDxeByv16vuwz6fjyVLligLApfLpUBE8W40TVOxH0tLS9U1aPdPlX2DBYsOme9Eo1G1KBsOh3E6ncpXWiy+ZBz8ZqVWS71T8aHzoOM5VldXVzMgFJUntmzZcjqJ9r+RAx0Bfhs4Y9DxfJ2vN1LvlMG10PnlpibAzG/+5m/S19fHzMwM3/nOd/jiF7/IwYMHlS8VoIyGL7zwQqqqqtRqUzKZpKenhx/84AeMj49z2223qUmgeDl2d3fj8/morq5mdHRUhZUMDAwocFGCCgR0Ky8v5/3vfz/Lly9n586dHD16lOHhYRKJhPKBe+6551i7di1XX301F198sVolFFlMNpvlxIkT7N27l+PHjyufslQqlcfQq6yspKqqSt1k5WdgYIA9e/YobyEZzFZXV3PTTTexefPms/ZeKgQl5f1nCsTZvZLsLMhoNKoG0BMTEypMIhQKMTExoQbPgJIp2eXRMvEQJmQwGKShoYHGxkbFeKusrKSurk4BjGIMLe1Jampqii996Uu8/PLLpNNpmpub+fM//3Ouu+66cwIcDcNg+/bt/NM//RMvvPACs7OzeL1eOjs7+ehHP8r111/Pyy+/zMMPP0w8HkfTNNatW8cXvvAFamtrz/rzpPr6+vjpT3/K1q1bOX78OJFIRMmoOzs7ufHGG9m8ebMKhlisotEoP/rRj/jFL36hwAJN06ipqeGaa67hwx/+MIFAIO89AloJ2Dw3N0dDQwOmaTI5OalWlWtqahS71A7qyIp0f38/hw4d4uDBg0o6LYNKTdPwer3U1dVRX1/P8uXLWbduHevWraO1tZXi4uK8dlpeXk42m1ULEUNDQ+zYsYMjR45w8uTJU6TdMmns6OjgoosuYvXq1ecM/L6dSwbXk5OTjIyMcPLkSXp7ezl27Bijo6MqpENYi3Y5oD1QQVhlAixWVFTQ0NBAS0sLy5cvp6OjQ7HNb7jhBkzT5HOf+xx/8Rd/seh+TU1N8dOf5jL7lixZwgc/+MEz+j7f+973gJyn79e+9rWzPh4f+9jHOHjwIIZhcNFFF/G5z31OhX2da8ViMW6++Wb++7//m2w2i9Pp5Hd+53d47LHHzngba9as4b//+78B+PSnPw3ATTf9P/bePDyu8jz//5xzZtMs2vfNsi15wZLBC5uJccKWGjcyhBCaEkiaJlxJyJe2aZLmS36FK782TVJKS/pr2rQJpEDCltAEkZQdg21sg/cVy5IlS9a+S6NZNDPnnN8fo+f10Vi2MYEWgp/rkmfGc/Y5532f937v577X86lPfYpvf/vbM1yTf/Ob37B582a++93vzgq6/vznP+fRRx+lvb2dtrY21Z9UV1f/zoDj4cOHefPNN2lublaTA7M5OrtcLgYHB09ykHcyYjOXFwb6ggULqK+v56abbnrXyp7fLznRuTh1OPMC6V+ExSS5h1OXWhx6RZZG2IQC5MmElbOaQ3Qix8fHFcPKyUKUyU5AOe/KRIyAkE7t51AopCRr5LkRpqOwwn0+n9K8lu2JGYwwIUXCQv5PjHhGRkaU1rHkUWIGIvIyqVSKOHBoKMl8v8Z5eV5yPQZ+Q8e0LbBMQphE4lPERuK0dR3hhYkpLq/IZnVZiCGvm6DXQ47XoNQLHl2nyEiRmTnpGniMNMCnAS5jGnQ0AYwZ7tCQBvrsaVZkygJDN08wIafXmbF90pCjDhhGGvxT4QAfZd8WGpZl49JPlGSnzFOzHW0gYZm4dRsdE9c0xVGOWwBDkNJvGLXcjCVtytwaAd3GraXBUzCVKY2OMcOQRsBGdejW9PbMtLO2R9NJ2Ra6BnFbJ2nZTJk2SY8bl55F0kwQddmMxhIkbZ08n05OMgkpk+FUFlluDyXZBn0TMYKaRcoGXG5wabhtTekwplIpxTQvLy9XeZqA9lVVVUQiEXp6elT+VlRURH5+vnpmxIBGwEBNS29fAMzJyUmVDwrbUMxldF0nLy9PHYuwil0u14x7XFjI5eXllJSUKHZiLBbD4/EQj8cZHh4mKytLGbrI8yklzmJGqes6wWBQHXMqlWJsbIze3l41PhOGYyAQUBPsIgfklG0QiSuPx0N+fj7V1dWEw2EGBgbQNI2pqSmVP52LDxjo2NjY6Glqakqcecm3FCsc77ecaqGmpqb2xsbGPqA0Y51zcS7OBSjtxObmZsbHxxUtf/369bzwwgvs37+fPXv28MMf/pDe3l7C4bAqeZGZZJfLxapVq1i5ciWHDh1i8+bNDAwM0NLSwiOPPMLIyAi33XYbwWCQ559/ngMHDvDmm2+STCYpLS3F4/HQ19dHNBolHo+ze/duAoEA69atU0mhzJ67XC6uvPJKrrnmGo4cOcKmTZuUu7QkqT09PWzZsoXKykqWLFnC8uXLqaurIxqNcuTIEY4dO0Z7e7sCLA3DUEw9Yeg5S5CdGj1tbW1q9kzMPQKBABdffDEf+9jH/ldMLZwDAb/fj23bJBIJcnNzFRtOBnzBYHAGi8DpJidJvZNB4PF4yMvLY86cOSxevJj6+npKS0spKioiNzdXmfScDjyanJzkb/7mb3jppZeIRCKUlZXxxS9+kY9//ONvC3CMxWI8//zz/OAHP2Dv3r1MTU0RDAb50Ic+xOc+9zkWL17Mfffdx/bt27Ftm5ycHL7whS+wfv36t32Nh4eH+fWvf82zzz7LoUOHGBkZQdd1SktLWbJkCddeey0f/ehHKSgoOCWr9ejRozzwwANs375dzd66XC4aGhq44YYbuPzyywEUoO3UXBSAylkWres6c+bMobS0VAHGHo+H7Oxs5UqYSqU4duwYO3bsYPfu3bS3t89gNIoGUEVFhTK7Wb58OStWrKCysvK0zMPR0VG2bt3K3r17aW9vn1EWDqhy6bq6OlasWMHSpUt/r0xfxPV1YGCA/v5+Ojs7aW5uVvqn4uQuepmnAhedZhqiFztv3jwWL17MggULFGMxE/SVuOuuu5Sg+9133z3rsVqWxT//8z8zPDyMruunBCYz41Of+pRqPwR8PJt48MEHeeqpp0gkEpSWlvJXf/VXXHjhhWe9HWc0Nzdz/fXXc/jwYcXa/MY3vsG3v/3ts9rOl7/8ZQU6plIp7rgjXTyzfv16vv/97/Pcc8+xa9cuNTEwNjbGl770JebPn8/FF1/MRz/6UbZv385//Md/cOjQIVpaWlQpZk5ODiUlJfzgBz84q2Pq7Oxk586dtLe309PTQ3d396wAozAY+/r6lJnQbMtB+h7LycmhoKCA2tpaFi5cyPr16982a/FcnAtnGIZBIBBQAEEmo1HASED1SyKBIwCkgJCpVIqcnBwFXooxxOjoqGLpAgqIlFJSyXmc0hOSuzkNY6QcW3S6pRRcjllKNgV0FK1TXdfVxJsYe2QyI48dO8bAwIBinTnZkIZhpEEal4tO3UUwpVHj1sh2gV/XGU1YTFownIJgloeqgJvucBw9lSRACmsqRW8kwohhUFbmJ+TScXLUT4CJ6XLiuE0afMuYb9Acy6d9Wgx8unP96fJstYYAc2m4UaqoTSCWAp82i/Ti9Cq6kQYFdV3DnoYKdRyl0rNUOqdLpQ0CtonfSGs92tPn5TzXFCdKr3MMG0t3oVkmUQv806CnjoGliV+2k45pqC3ZWGkgFAP3NOMxadl4DAvDAk03sGwbdBcpSyeRsAl5bNzBXPx+F71TBqPRtJSRSYyJWBwrGiM/4GVeXoASr85EJMrxSIpeyyAQDOFNpRgcHFTM3FQqxfj4OKlUSuk4yuTy2NiYqi4aGBhQuorJZFKVQjuNvQRcdxqsCAN3YmJCPStDQ0OKvRgIBJSpi5hZipa85KEyuT42NsbBgweBdB8kklYyvpAxhDzHwg4Ww7n+/n41hhQ9ylAohKZpCtiU4587dy5VVVV4vV71XE1OTlJcXKyez/z8fFW9FQ6HOXTokHrWhY3Z0NDwe5V3/i7xQQEd/29jY+M/AnmNjY0poAN4BfiXpqamPW9zm4sc74+eYdk20qDj4rPZwalmh8/FuThTWJZFe3s7c+fOfV/M7hcXFysReREerqmpYe3atRw/fpyRkRFeeuklpcsj2jW5ubmYpklZWRlVVVWsWrWKeDzOgw8+yJNPPklHRwddXV38+te/prW1lQULFjAxMUF7e7tiCBYWFlJbW0ssFuPgwYN0d3czOjrKpk2bmJiYUOXS2dnZhEIh8vLyFOuntraWSy65hNdff53XXnuNPXv20N7ezujoKH19fQwPD3P48GGefvpppb0jM2YC0omrW0lJCXl5eei6ztTUlAJbhP0o5dhtbW2qbRBR9YaGBj7xiU9QV1f3jv0mZ3sPJRIJYrEYfX19HD9+nO7ubnp7e1VZndMoJJVKEQqFyM7OnuEuLUCr6CmVlJSwcOFC5s2bR3l5+Qx9yreqjxKPx7nvvvtoampibGyMgoICbr75Zv70T//0bQGOkUiExx9/nH/9139VJcm5ubl87GMf4zOf+QzxeJyvfvWrDA0NoWkay5Yt4+677z6JOfhWY2pqii1btvCzn/2MnTt3MjAwoMpCFi5cyNq1a/nYxz5GaWnprL+Tbdu8/PLL/OIXv+DQoUMKdAoEAlxyySXcdNNN5OfnE4/HaWlpUYMVJ7jo3BagGBxOp2En6JtKpejs7GT37t3KsGlwcFA9v4ZhKHf46upq6uvrWbFiBcuWLaO0tPSUpSOJRILt27ezc+dOjhw5osS/JXRdp6ysjNraWpYvX87KlSt/L8qlhVEgZi6dnZ20trbS2tpKR0cHfX19DA0NKUaMU/vMKa8g5XZ+v5/8/HxqamqYP38+ixcvpq6ujoULF1JQUHDW7M/NmzcDUFdXd8p1JycnefjhhwEoLy/n1ltvfUvbffbZZwFYtGiRAsXfahw6dIivf/3rxGIx/H4/X/3qV9+WKYsznnnmGT772c8yODiIbdvk5eW9Jf3G2WLNmjWUl5fT09MDpJ/1O+64g9zcXNasWcMXvvAFIM00dDIfjx49yr59+/ja175GJBJhfHxcMRs1TaOyspIvfelLfPOb3zzt/sVJuq2tjfb2dvr7+2c1fnK5XAQCAVXyKfrJs4GMXq+XgoIC6urqqKur4+qrr37H3MF/l3i/5UTvpXDKngiIJa9S5eBcRmQ2gBntkPNV7lXne2fFhVOX3PknedSpQto5kW0QKRhn/iFAo0z2iuOuVN2IeYVTx00m0zo7OwkEAqqsW9j/mqYpIFGuhTxLAkKKG7cAMgJciBGbMIXFlFDkdGQ9YXRK/is5qUjNQFrPtbW1VemOi9u1PKuWZbF/MsyIZdNt6Zyv2ZR6NPosjXGXhu4xmO+xKCwtY0HYImhPUepNEdRN+mMmFX6dgKHjyki/hAUomoWppIVt6Hh0prUMwQncidGKvHfU2ZzqLlTvdNL6jKYlAKJAljNRRNs0cGOjGyf2Z5Iu43buyjYd+zcgaGi4TGP6nNLbtDDRM5iaKXu6jNy2sC0LXG6mMLFNk7gG2Xr6WO1pmDST3QhpLUvT1omkTLIMDbdmE3Cl/a8TNsSTKXTdRcpKcdz2M2kbBC0bK2Vj5RYQz/IzmgVmKoWVnKK7t49oLMZk0iQxnsCjG1jePDqjEfpSFllZpgL5ZDJPKpREfkYm+uUZGB8fx+v1kpuby9jYGGNjY9i2zcDAgNKZl8omYQ2OjIwo5q9pmoq4IZPdiURCgesDAwOKjSuGMQLuiZmM2+1WE6ipVIqsrCxKSkqUm30wGFRO24ODgxiGoQxhxsfHFatZqjwkBxXXaqkuCwQCdHR0KKJDKBSit7eXwcFBlbuWl5dTXV1NLBZj7969dHV10dvbq0wahQhz7NixM7ZXbzdE3uH9Fh8U0HGB470LmD/997nGxsbvA3c2NTWdTuphtnDWf/SfYVn5/qyEiJw6JefiXJxNJJNJBgcHqaysfNvmGP+TYVkW5eXlSp9DdD3WrFnDzp072bRpE8eOHVMOaz6fjzlz5iiHtYqKCi666CKlS/KVr3yFsrIyHnzwQWVMMTg4yPbt21UZruiTlJaWUldXx5w5c3jzzTd5+umnOXz4MOPj42zfvp1IJMLHPvYx1qxZo5zXnFT5goIC1q5dy2WXXcbhw4fZsGEDe/fuVe7To6OjasZdnmlh8Im7dDgcVqUBUnIgwI7MtEciEaLRqGK4CTNs7ty5XHPNNaxdu/Yd7YTOdA/J7Pzg4CDHjx+nt7eXrq4uJSYtJRGS7GYOQiSxER3GoqIiSktLFYsxJyeHUCikZg3fTiQSCf7zP/+Tn/3sZwwNDREKhVi/fj1f/epX35KWXGZEIhHuv/9+/u3f/o3jx4+jaRqlpaV86lOf4pOf/CQbN27kl7/8JclkEr/fz6233sof//Efvy0BadM0aWlp4Wc/+xmvvvoqHR0dxONxsrOzqa2t5eqrr+b666+npqZm1uuTTCZ5/PHHeeqpp+ju7laDm6KiIi677DKuvPJK3G630laUkAGT05RHGBuZ4KKEMDaGh4c5ePAgW7duneFYK9vz+/0qYTvvvPO44IILWLp0KQUFBUocXxiwcs3a29vZsmULBw8epKOjQyXGMugV8HXZsmVcfPHFpy0rfz+EZVlEo1H6+/vp6emhra1tBntR2N4ySJgNXJRBrSTSVVVV1NbWUl9fz6JFi6irq6OoqOgdaS82b97M6OgokGbuneqcfvnLX9Lf34+maXzxi198S9u+4447SCaTeL1e7rrrLvX+rcYNN9xAOBxG0zRuuOEGbrvttre87mxx7733cvfdd6sSsvnz5/Paa6+9Jf3GU8Vzzz3H9ddfT2trK5AGHm+99VYeeughBdYtWrSIRx99lB//+Mc0NTXR2trKwMCAGuRJ+Hw+rrnmGn71q1+dtJ+36iQtzCrTNOns7KS/v18Bm5mh6zrZ2dmUlpZSX1/PunXruOyyyxTAIiDUwMAAWVlZ75qJzVuJ90NO5NQxdgJ6AvaJOZuABDIAF71CqSAQyYSpqakZRnHy6gS7hJnn1HV2gmQyuD3VZIKzb8t0qc8EEeXV6cws7b5zXVlOtA8zJxll/by8PPx+P4ZhEAwGFcgh25NXKcUW1pWTBSllztKHCRghjrdiSigT4kNDQ1RXV2NZlmJHOqsAhGXlZFzJtuW3CIfDatvO85L+VUB+mZj1er0kk0lGRkYUUCPPnuRQcu2KiooUUFJdXU00GlXlpsL6ktyne3iQLGuc8WSMuOHFcEGZniTbsMFMMTfowYtGtpGgwA2FAQuvZuFhdqNoARxtYMqGANNlwxp4dYCZmoYn4MW3wgLTZrwztLTWojbjO+FApiNpmWj2CX/qhJ0GCvVpMFB2qxnpA7LSVeZ4sXHJdxiYJkxZ4NHTrtOixaiRPjfLtnDrJvq0o7TL0PFiTbMdM8/RCTqKXrJF3AS3bk+zK9NO1T4DXJqGjclQLMnLPQk8wSD5boug20SL9xL1ZmOHCgnl5KDrOvklZcrEqzWZwIPOyNgELk8Iv9siPjlBdDJMKCdX5UoygZRMJunv7ycWi1FUVERJSQnZ2dlqDGJZFkVFRWRlZTE8PKyqFqampsjNzVWVKSLvIvqHYogpMgKSH0sJtRP8F0bg1NQUbW1t+Hw+RdYoLy9XYL5Iv4yPj2OapuqfhHEsGo/y3IVCIVU2np+fT2lpKTU1Nep5kLJykSuQsZaY7IlMiK7rhMNh1X/KvkOhEIsXL+ayyy4jEAgwMDDAnj17sCzrHddzBM46F3qvxO8z6GgBLwKPA9uBLmASqALWAXcCxcA3STOwZ68JOnU4nSlOnhqeGaL3eFY2mN/4xjdmUHKlc/rhD38IoJycnJE5QD+3zAdzGWci+l44nreyjG3b5OfnMzAwwJEjR4jFYlxwwQV8/OMfp7m5mb6+PuWwJnT9rKws5s6dy9KlSykvL1f78vv93HjjjeTm5vJP//RP7NmzR4F2ExMTxGIxFi1aRFVVFYsWLVJaJhdeeCEul4vnnnuOgwcPEolEOHjwoErM165dO2OA6Twvn8/HBRdcwPnnn09zczO/+MUveO211zh27JgSAxfwxWnSIsLLkkx6PB6lYyiJvxO48/l8SuuuoaGBiy++mIULFyqh5Hfq95IBi9xDUnYQDofp7Ozk2LFjdHV1KZdh0V6R7cu5SsItAwKPx0Nubi41NTXU1NSQn5+vZjR9Pp8Sff5d77FUKkVTUxM//vGP6evrw+fzccUVV/C1r31NzaaezfWJxWL84z/+Iw899BA9PT0YhsGcOXP47Gc/y7XXXst//Md/sGPHDgCqq6v55je/yYIFC2aYl7zVfY2OjvKb3/yG//qv/+LgwYNMTEzgdrupq6tjzZo13HjjjTQ0NKiBoNNRfHBwkEcffZRNmzYxPj6uGKRVVVVcccUVykxBtDSdJfzAjMFg5jELi0MGhHIdW1tb2bhxIzt37qSjo4OBgQGi0ag6t9LSUqU5KcCXlMKFw2HGxsZUYppKpThy5AhtbW1KssA5GPf7/VRUVCizqYqKCuXSLtfivd7WyTIycB0cHKS/v5/W1lbefPNNWlpa6OrqYnh4WA1QZVDrHJTLAFlYL2VlZdTV1dHQ0MB5553HggUL1Oz7u3Vef/d3f4dt2wSDQW688caT3IfdbjfRaJR7770XgPz8fG6//fYz9k3/8A//QGtrK7Ztc911153EFD7TMd900010dHRgWRaXXnopd955pypLfDvn/rWvfY1/+7d/U6DN5ZdfzoYNG37na1hQUMDmzZtZv349r7/+uhrg3XLLLfzkJz9hzZo1ajt+v5/jx4/T1tZ2UrtSXFzMpZdeCsCnP/1pFi1aRE5ODl1dXXR1dSldWQkBtGTCZ2hoiGPHjqnBlPRPTjBKQOx58+Zx8cUX09jYSEFBwYzzGhkZmfXcJycnT2Id/08+g5mfT7UdJ3AkDP1MeQKZQBQnYgECZXnn50QioV6FhSx9q9MQxWncJPkGcBL46AwnyCa/rZOh7jQ4cYau6wqkgxMOyDL4l4G6c1uBQECBf5n7ks8ej0eV/8r/ZbLmRWNQJpgCgcAMZraErJ9IJMjOzlbu0ZnnL7mRgAenuzeKiopUXydGGAI+Sp4lGnezbcfn85Gbm0t1dbUqi7YsS8mQOBljAlaIuYYTEBZ9SClFFfBYJmkz23mR0BFWmUgLTU1NKfM66Y+FlRkKhfD5fIyMjBAIBFR+5nQCXtJwPvlmBM9ID/nxcfKtKD4T+hIGPZaHhGmzwGdj6C4GTQuvpuPVxDs6DZ8ZCn0DAdamTMAwMHSblG2h2emv5S506iKmYzZH51MDkWIe7c6YM5MyaGEUevQTDMykZZKywKM7gEBTRwGWYj5jT69jzoQyXTrYto5JWutRA9y2gaFBSIMAJradvh4GaXBl9qnm2Wu789zTjE8bbM1STtuGPn1MtgXRCF7i5Ga5CODGTEWIjg0z0HWcEd2vdM4lh7Ntm6Rl4fX5yEtFKfaCP+AnkkzRPjpAv+miuDhdYWXbNiMjI4qxKMQBIULI/SXAtThY9/f3U1BQQDQaJSsri+LiYgKBgDKTHB8fV5ONwjCWfiAvL0/JCeTn56ucyLIsOjo6lFRISUkJZWVlqiLM4/EoIokYQonRk1SGRaNR+vr61HMZDodVDpEzDdDKhEQqlWJ0dJRoNEpXVxctLS3k5ORgmqaSKujq6qK5uVmBrAI0zp07F9M0MQyDBQsWqKq0iYkJIpEI+fn5Mybb3skx/jnQ8T0UTU1NncBs9S6twA8aGxufAF4D5pIuv36wqamp7W3u7kwsybNlUQIoYX0JYZpAOoHavXv3STemuHyeW+aDvcz+/fsZHx/nwIEDMxKu9+oxa5pGc3MzLpeLyclJDh06xPPPP68cdH/9619z8OBBtY2jR49iWRaXX345wWCQ2trak/Yl5YilpaUEAgE1SIjFYvT09JCdnc15552nZtSCwSA5OTk0NDRQVFTEI488ogAfcbnu7Ozkj/7oj1i+fDl+v/+k8xIQ4fjx40SjUWVokpWVpZIASbpleadAuegRyUBEZuqCwaBKPEUX66Mf/SgLFix4134vKZPYuXOn6kBN06S7u5uxsTFlViDJtGVZquRdgKyJiQml2SIM0Tlz5nDppZdSVVWFx+Nhz549DAwMMDAw8I7dY6lUim3btvHYY49x7NgxBShfd911ahB+NvvKysriiSee4Oc//zn9/f0KcLz++usJhULcfvvtjI+PEwgEWL16Nd/61rc4cOAAu3fvPqvfIpVK0dvbyyuvvMLWrVtV0pSTk8OSJUv4yEc+wnnnnUcikaC3t1exNvbs2cPY2BgbNmygubmZeDyOy+UiOzubxYsXc+211zI1NYWmabS3tysQuLS0lKqqKnU8e/fuxbKsGayP0tJSFixYoAa4O3bsIJlM0t3dzf79+9m7d68qow+Hw8o91O/3K1dEYTU2NDQo0H337t1qP9FolJaWFvr6+lQZC8D4+DiappGXl6dYveeff/5JxxwMBikrK1P95XuxrZs7dy6Tk5P09vby0ksv0dbWRltbG93d3YpNJoNTJ8AggIDM7Ofk5FBcXMzcuXMJhULMmzePefPmUVpaitfrPel4duzY8a6e165du4C0bpGzjXYus3//fjo6OtA0jUsvvfSMz8ULL7zACiOYVAAAIABJREFUfffdRyKRoKCggPXr16uyrLdyzP/yL//CM888QzKZpKioiFtvvVW1MWd77uPj43ziE5/glVdeUaylG2+8cYahzTtx/zz11FP8+Z//OQ899JACI26++WbuvvtuysvL+eUvf8nWrVvp6uqawW4MBoOsXbuWlStX0tvbS2trK6Ojo0pv0gn4FBYWMmfOHCorKzl27Bh79+5l//79TExMKEBHwCdd1xVwUV1dzbJly7jkkkvweDwUFhaqMmXbtpVsgwBSwnypqakB0hNyR44coaOj421fn9mWsaz0pFgoFKKiooJIJMLk5CTbt29Xgv/SRhqGwdjYGM888wymadLe3j6j/xIzBNGhTaVSDA8PzwBeZQJH+nLp7wWIlHC5XDOY9JFI5CS5irNdRtM0pRHmbBP8fr/SKxMWjhOIzMrKUnIw8nsNDw8rVp1McObk5FBXV6fYRkePHlXbCAQCqj13Am5iziTnLxUYFRUVCoDbs2ePYmhKviPggdfrxbZt3nzzzRlaiKlUSunIyQTY8ePHVd+i67oCGHJzc3G5XGRlZbF///5ZQf158+YpR+ldu3bNeo/V1NSovOuNN95QOY2cX0FBAWVlZQqcPHDggNqOTNAVFhayZMkSBUrv3LlT7UPuHZGNEVbVgQMHcLlcmKapSqi9Xi/Z2dkKwOzp6VHHIaBMfn6+csn1er309fWp31pYndnZ2RQXFystyt7eXqWj7PF4aGlpwe12cV5xId5gCKZGiIwMMOLxE0nYpJJxSCYZxabHlU3AToLLoky3MEjrGup2GihLXwiIY9BnuPAmkiRtC5dmKPAPBHA0ycALZ4nZgEhI2Rqapmesn4Y0Z4J8xvQy5rR2JHg0O+3g7FhPPXGmgYaJW9OwbDsDGDXSZdQaYKU1GHUNDC19Hh5A0wxsDWIpm5hlYmjg1jQCrtOXjltAwkoDs25DV+CsMb2SacNk0iKaMpnvt0lYcbrHNcaGbCpyA+QaFvboFAd6JjGmWXzFxcVkZWWpe8o11k+WOUkoy4XX0HDbUGLbJC03x44dw+fzqfZHJkJEv7GkpIRgMEgwGKS9vV1VwMTjcSzLIhAIUFRUpJ6L7du3K01hv99PQUEBWVlZCqhzuVz09fXhcrmYmJhQExXRaJSCggL1zMEJ8kx/f7pYNCcnR0kylZaWcuzYMcLhMAB+v1+BnsIstCyLw4cPK2dsMS3LyspSRBCv18vx48fxer1Kk7Gnp4d58+Ypw6aenh527drF6OioMqMSSQRpjwzD4NixYwwNDWFZFs3NzXR1dSljHDmed3KMf8kll5x0P73XQ5tNt+mDEo2NjX8IPD398f82NTV97yzW/UfgL6Y/NjQ1NR04zbJPAh8HRpqamk4r7NXY2BggzcjkJz/5yQxa7nuBmXFumffHMpFIhL1791JfX69mQ97rx9zb28tzzz3Ho48+itfr5ZZbbuH6668nGo1y33338Q//8A+qg8nKyqK0tJQPfehD3HHHHSxfvlxtS2aO9+3bxyuvvMIbb7xBX1+fciQTp9Hi4mIuu+wy1q1bp1wQBTArKioiFovx5JNP8uKLL9LV1aWYmKtXr+baa69lxYoVKgmFE6YW+/fv5/Dhw/T09DA5OakSYxHSl8GDgHgy6y/JpIA+Pp9PlV9LCVt5eTm1tbVKa+Td+C2EfdbV1cULL7wAoPTixLVYyodkoAYo9kB2drYyMRBTnNLSUjUozcnJmcG+eqfvsWQyyfbt2/ne977Hrl27ME2ThoYG7rnnHpYtW3bW+wqHw/z93/89jz/+OAMDA/h8PlasWMGXvvQlEokEP/3pT1Upx2c/+1luueWWt3VefX19PPHEEzzzzDO0trYqDZq5c+eyevVqPvzhDytxbQEAIW0u8dhjj7F7924FLPr9fi688EL+6I/+iIqKCsUIyTwe0fiTki5hMToZ9s5jDofDbNmyheeff559+/bR3d3NyMiIGsiIG3xlZSX19fUsXryYaDTKkiVLlLmM7CscDvPGG2+osulUKqX2YxgGxcXFVFVVUV9fr4S7BRSQpFfuQdEbElfw/+22TrS3BgcH1cz5vn37Zrj/RqPRk9zaBTgQPS8ZeNfV1VFfX8+yZctYsmSJKov6327DH374Yf7sz/4MTdP4xS9+wVVXXXXSMpqmsXr1avbv308wGKS7u/uM+7rhhhtU23PnnXfy5S9/mYMHD7J8+XLVn53qmA8fPsyHP/xhNQnw7//+7zQ2Nr6tcw+Hw3zmM5/ht7/9rSrN+qd/+ic+//nPv61rKEw4J+tNmG8yIfb4448r7UthXBUWFqpSL4mysjIF6kF60LVy5UouueQSmpub2bdvH6lUiqKiIsrLy+no6KC9vV1pJDtLagX8LygoYM6cOVx44YV88pOfJDs7Wz2XBQUFZ8wlZGAp2lw+n4+cnJwZLHw5Z2HMiKPo+Pg4w8PDSi9SdPWcLG6R7Mhkjsl5yPVxgvbSPwuDVAAZee6c4TwnWUbeCxArsicC+sn3sowMysVEQbT7nBIVXq9XmTfJewmZoBTdPpn8kW0LMCaTl1lZWTMYdgLOy7EHg0F0XVfMOmH7ymfpw6uqqhTjycm+y8rKUss7mZ4CrDnlLpxgsLO8Xq6ttHGzmSoIQ0+YlnK9pM0H1OSl81rKvSjsTOeEmazr3N/baetku7FYjF27drFkyRKVaziXm207cm5iICPXX5iKk5OT6l6W6yr3qvyJ8ZosH41GZ7AhnUaDfr9f9cOFhYUEg0G8Xi/xeJyenh6Vv8lvGwwG0yBPKkXRWAfZ8TFiriwI5JCtWxRFh7CxGEgZeKciFBKm0JxCOMsWkAQSBqTQSbqycdspsCzc9hRZmCexm044U894c8awgEgKfC5wTwN4FkyXPJ9ewsbC4YrtiEw37XSIY7V54ngd+5P/0xzHbk8zLGM2jKVgPGlT7rEIKdBRBwV/WqRNZNIWMynLxLJtPLqGZadZlRKmDeNTFgMJk4GYRdi0eaUnQrFXo9jvYV7Iw/G4zUu9EQ6NxBXYLM+Iz+NheY5OtTtJ13iUoViCfI9BgdegNWKxc8wk5XhuUqkUExMT2Latnn1hEQrjUViOiUSCvLw8pQMtrG9pO/1+v6rYSibTUgJjY2PoetpkRbYnbtaA0nMXvdLR0VGlkyhEBWFki4newMAAyWRSsfaLioqwrDQDedu2bXR1deH3+9H1E8aHk5OTqh0Xh+1wOMzu3btJJBIsW7aMRYsWqXLu7u5uEokEK1asYN26dUxOTtLW1qZ0U0tKSrjssssUy3Lbtm20trayePFirrrqKvV7vpNj/EAgcPa6Tf/L8XvLdHyL8Szp0mgfsPws1x1yvC8+w7JSjzl8NjsQWvOpQtDz08W5ZT6Yy8jgPisr65TLv9eOuaysjIULF1JeXk57ezs7duxg1apVipbvLOER58zDhw/zwAMPMDo6ypo1a9R5Nzc388orr7B9+3ZF0V+0aBFDQ0MMDQ0xMTHByMgImzdvJhqNcu2111JbW4vH46G6ulo5Sd95551KT+vw4cMMDw/z0ksv0dvbS39/P5dccgm1tbW0tbWxZcsWDhw4QEtLiyprzc3NpaCggOrqaoqKilTHK7Pm5eXlaqZeSsalM3S73cqRUWbxpHTpnf4tJMkdGBigtbWVI0eOKLAkNzdXDe5kMCHAkRxTTk6OAkXlvPLz85VWipRryODVyeB+J++xVCrF/v37+dGPfsT+/ftJpVLU1tbyF3/xF1x00UVn3EbmvsbGxvje977H448/ztDQED6fj0suuYQ/+7M/Y//+/fzmN7/BsixKS0v51re+xYoVK854zDLQk7K9SCTC1q1beeKJJ9i/fz+jo6Pouk55eTkrV65k3bp11NTUqEGcDLAikQhPPfUUW7ZsUQO/4uJi1qxZwyc/+UmVxEkyKW2B/HZnMuORRDEajdLe3s6rr77Kxo0baWlpYXh4WOnBeb1e9ds3NDRw4YUXsmTJEsW+aWlpoa6uDp/Px8TEBNu2bVNl2HLcmqaRm5vLggULuPjii1m1apUqUxGAAVDHLeLhIyMjSuA/EAicsr98t9sxy7IYGxtTz8zOnTs5cOAAnZ2dDAwMKBajzOALSCFArZSt1tTUUF9fz/Lly1myZAnz589/T+cA//mf/4ltp93Zr7jiilmXCYfDtLS0AHDVVVedcV+bN29m8+bNWJbFsmXL+OxnP6vAF2fbd6rtrF+/XslV3HHHHdx4441nfV4Sf/mXf8kzzzxDIpHA4/HwzW9+k9tvv/2k5aRdTCQSqrw2FoupQZg4gTqBBaeWnjMuueQSAoEA99xzj7pfnCzwnJwc1q1bx5IlS4hGo+zbt4+jR4+qtvtXv/oV5eXlzJs3j76+Pvbu3cvIyIhiWgEKDCssLGTx4sWsXr2am266iaKiIlVSJs9cdnY2ubm5ioUl/VQkElEldMPDwwrMFLdRJ5Aqn6V81PknE22ZMRsh4lQkCSf4Iq8yOJUJGsMwmJycpLCwUH0ngJTk2qKDKkYkMikjzDDJPUSfrLi4mGAweNLychyZpdFOvb/M+0RKdOW9gE1yHaUPlmsm7YmwmZzXwmnoIkxJXT+h4yivmqYptqOTTSftk7Q9zt/Hyfq0LEuxJwVUdLo1S3stv4PkZwIWyrWUV1lWQFsBX51gr9PATIDYTP3I0/Vrv0t7aBgGoVCIgoKCGewleZadrwK8S8jv4dRL9vl8ShbECeQKiJypD5lIJFSOODY2xvj4OGNjY0xMTBCPx5mcnGR4eBjDMOjq6iIUCqm+xefzkZWVpX4jj8dDIpFQ0jNut5up7CIsn4ec2AT25AApW6PP7SVAkjJ9imzXFJ6UhWak3aBV6bKpEUtpTOHCJEnI0NFcbnQLNDOOPc0oTNjgEbdpVWV8MgBtY6LhKH1OL6icq43pz9O/ClZaeTHz15rxScfAwlal4bJlJwPzxN5M0szJExqRlno1HEfm1JBMv7o1A48BOZqGx3Wi1PsEXHniOE3M9F50nZRpkbTSJdWmndartKcPzGNAtkvDG3QzGEtyVXkAj25T6tPxuVy4XRbtQQ9Tpk1fyqXMg9yGQVleCNObrt2O6x4CfjdR06SEFJqVxOd2g/uE1ACk23xAtTnS5ksbKYYwwh52MrClH3S5XOpeFPBRypDFSFLGdlLa7Xa71T2dl5dHLBZD09KO04lEgjfffJO8vDyys7Px+/0EAgHi8Tg+n0/JGcAJg03RPJX2Q1y3Lcuiu7tbyQ3IZJWYyoRCIRoaGqitrVUAqzAhKysrFYuzs7NT6VmHQiFV2SbyJFKZ4ox3coz/fowPNOjY1NSUamxsHAHKgbNVnz/seD8fePk0y86bfn3zbHbwVm68c3EuZgu32620295PsWzZMi644AK6urrYs2cPzz77LKtXr1aCvbquU1JSQkVFhQIOt23bxujoKAMDA6xdu5bu7m42btzItm3bVBIv7Ls1a9bQ39/Phg0b6O3tZXh4mK1bt5JKpbjpppu46qqrlMGJNOo333wzFRUVPPzww2zdupWJiQn27NlDf38/+/btIzc3l0gkQldXlzLs8Hq9SoekoqJCMQ3y8vIUc6myslJ1vO92yKDHmZTLDN7AwADt7e20tLTQ3d2tNC9FJ0VAW2eyGgwGVclrdXU11dXVSsslszOUZBhOMEnfjZAy4x//+Mds2bKFWCxGeXk5n//852cwnd5qTExM8Ld/+7c89thjDA8PEwgEWLVqFbfddhvPPPOMKitdtGgR3/3udyksnOkTJoMEARclqRN3aEizY1944QU2bNhAZ2cn8XicYDCoXKlXr16ttLRkVjiRSPDII4+wYcMGxfwNhUJceeWV3HrrrWRnZ5802DtdCLgoAyVhuYjMwauvvqoc+iYmJtLJrNutmIVLlizhoosu4tJLL6WsrEwxEWWwn5uby8aNG9mxYwdtbW2K/SHfnXfeeVx66aWsXLnypGN1ahZK2LatBlrC1MjJyfkfTcKmpqbo7++nq6uLvXv3sn37do4ePcrx48cZHx+fYaDkBESCwaAqUxQt2pUrVypN2vdbn3/06FEAli5desrr/9d//deqvPWuu+464zb/5m/+hng8TigU4itf+Ypir76V/uyaa65R0glr167lr/7qr87mdGbEXXfdxc9+9jPlTPuFL3yBz3/+8zQ3NytQSMBEYQ8J+DgbiCYhoIoM4AT8kuu3ceNGXnvtNYLB4EnmLcKCe+GFF3jppZfU/wvzSQZw7e3tbN26VU0MCchYUlJCbW0tV155JZ/4xCcUy3BsbIwtW7bQ29tLT08P4XCYcDg8g5UpTCunLp2zHHa2c3aCLM7/c/ZD0lYJG1DAJgGn5Pl3Gq/JgDMUCp00KScsYQG2nG2hExwDZujryXk5AT4BfYAZgJ3o/klb6NRmlHtCWJxOBqK0/8IQdAJLTqM5JwNVPjuvXaauq3MSw8kWF2aRgINO0E76Yed+nWxruT6ynoCTcu9magg6AVfnNXeyNJ26wc79OMvBnVqOMunlvF9m+5vtO6ee5Wys1FOt5wRPnevK/ZnZDgkgPVs4dSIz/5zfOcPplC1tidxbToAzkUgwNjammK3hcJiBgQH6+voUuBIOh4lGowwNDSkAOisrS+URlmXh8XiIRCIYhsGIrlPm0Sg0guh6GhKbwEO5OU7AnmLKAg0dHQONlGI5moaB29RIAXHTYspM4TPSQo/Td+60+YuwjkETYUZnOmgKc3G2HDEN4LlcwjCcvpcc358uLCCFhm4b6Jp5ErtRcyynq3fyjU00ldaQtDCnTXFk705natAxycLA0E9IXYrxjDOmLJOYCT7DBk1nyjZIWSYhF2CfKK82dPCgo6dsLNOmJOBlXja4NRvTgqgNPtvF+UV+PLn5ZOs5JJJJclMRij0QcBuUuUyCBlRmubGzgmQboMcm8BMjyzDILyxUkwfxeFxJNGRnZ89g3CaTSVURI7qILpdL9XvyDIVCIXRdV/mZyDvk5OQoFqRoDIuMhWi7er1elWfKmKm4uFiVLUvfJIxhmYR26uc6JzNEW1y2L2xhceaWCrRgMEhraytVVVWUlZWxevVq5s2bRzgcpq2tjVgshq7rMzQzDeOEQ7Zzsml8fFxpXAqAKyHM8t913Pd+yxUlPtCgY2NjoweQcufRs1x9h+P9pcCPT7GPGqBslnXOxbl4V+P9BjhCutzzuuuuY9++fbS1tfHiiy8yOjqqZqCEsXjttdeyZ88eDhw4oLQrw+Ewe/fuJTc3lz179qiEXzQFly5dSn19Pbquk5OTw3//93/T2dlJJBJh165d+Hw+SktL+ehHPzrj2nm9Xq666iqKi4t54oknePbZZ+np6eHo0aPKXU2S8EAgQElJCZWVlZSVlSkHxEAgQE1NDXV1dcyfP/9dddh1DgydyaowLWKxGIODg3R0dNDZ2Ulvby+RSEQNoiV5kE5Uku1QKERxcbECGauqqsjNzVVsESmvE60XJ/sH0qVRb8cx+kwRj8cZHx/n8OHDPPnkk2zatIlIJEJRURE33ngjf/Inf3LWz8LY2Bjf+c53FODo9/v50Ic+xC233MJjjz1GR0cHuq5zxRVX8I1vfANAiXA7GT2ZwvdwQsezubmZpqYm9u7dy9jYGIZhMG/ePD7ykY/wyU9+koqKipMSk5dffpnHH3+cwcFBBdr9wR/8AbfddptysDxVnApcdJZ5mqbJyMgIe/fuZevWrbS2tjI4OKgcCMXEZeHChVx00UWsWbOGhQsXnrTvaDTKhg0beO2112aYXkjSVl9fz6WXXsry5cvPGoR2arXJTPa7Kaht22nX0u7ubtra2tixYwf79+/n6NGj9Pf3Ew6HT3KRFgaj358Wd6+trWXp0qVcfPHFNDQ0UFlZeUYw+L0eBw4cYGJiAoDPf/7zsybRiUSCZ555BkCZdp0uDh8+zJ49ezBNkwsvvFC5N8OZ+7Pvfve7vPbaa1iWRV1dHf/8z/88A6x2hpSQzsY0i8ViPPLII9x///3E42mPwI985COsWrWKTZs2nXL/8rsLa0hAMhnoiyOukwUm73Vdp7m5mXvuuUdNQDjBCJkIc4ZTF1jYFDJYcz7P0q7U1tYSiUQYGhriwQcf5IEHHpi1PDlTBzLzHDMBLxmAOc9JWH9y/gIKiv6guPIGAgGCwaC6VrJ9Jyss08xGgBj5PwE+LctSFQaZzsxOhqn8ybZOFU6GonwWUFfAH0CBh04DGWF4OvtdZzm3c4Au5wnMAOmceotyn0if7Ha7VRmjE0yU49M0TZVgO0u+ZV2pHJH9SB/uLG92MuLld3aCh7OBis7y6UygOfPVCaw6285MUDAznOs5r+ds+5nt3nWWeWd+Pt3/y++TCUSeCqCUdeW3ywwnI9L557yfJURyQ+R4AOUGr2maYqKVlJRQU1NDOBxW5aJyHKlU2hhJABc5hkgkoo7Xtm2GXC5chk7A68E2XLi1GEV6jIQVw4+FgU0KHX0aSPQBLixMIw3AWVa6PNg0U1jYJA2w0bCny4p1LNDAmu72neYySSP92XWKimtrejlrGsQ7qUcQCqJgkubMdZM2eLU06/F0YTrKqtM+0ukDMzXwzNCjdFrNoMx1LA0iloZu29gauNW2HOeqG9g6TKTSxzZupkvGfdMHm7DS4KZLT7MfNWA0aVHrM3DpYNkaEcvGtG38hkaFT+dowsSjaxR6bOoKsqkMuNFSSbyaDZbJeW43UctiKmkx4A6SCPgIGLaa1JFqIakkk7Jn0zQVwB2LxRR7USQ3pL0DZui3C0vc5/MpdrC089JOalpaM7avr0+RQ6amphgZGcGyLMrKyigqKmJgYIDh4WHFjpQxYSwWY3R0FLfbTSQSmVEJIwaMQvoIBAJK11gA1OrqampraxkeHqa7uxtN01i4cCGAOj55bnJz047fkvN1dnYyMjJCfn4+uq7T399PVlaWWr6goGDGWE+c5F0u16wGfx+EeH9nvb97XAvIaGXX2azY1NTU2djYuBtYBlzX2Nj45aamptlcrG9yvP/12zvMc3EuPjhRVlbGunXreOyxxxgaGuKVV16ZoUcUCAT49Kc/zdKlS3nqqafYs2cPPT09HDx4kNbW1hnJuXSaDQ0NLF68mGAwSCqV4vLLLyc/P58nn3ySo0ePMjk5ybZt29QxXHPNNTPAEMMwOP/88ykoKCAvL49HHnmEtrY2IpGI6vBycnJmaIpIolpZWcmiRYuYP38+RUVF7xrTD1DgiACL4iIss3v9/f2MjIwwNDQ0QxtLknZhnMhAJBgMUlhYSEVFBWVlZVRVVVFYWEggEFBleE5mwalKdt1u90kzfr9L2LZNNBpVYGlHRwe/+c1v2LBhAyMjI+Tl5XHVVVdxxx13nDUDbnx8nHvuuYdHH31UAY6rV6+msbGRn/70pwwODuLxeFi7di2NjY00NzfPyvKRQWbmAC2ZTPLyyy/T1NRES0sLkUiE7OxslixZwg033MCVV16pnEVlvZaWFu677z6OHDmCbaedgi+//HJuv/32Ga6+zoG2cyAj4KJzAC4AA6BKYXbu3MnWrVtpa2tjcHCQeDyugMKamhpWrFjBmjVruOiii1SiJZFMJtmyZQuvvfaaEu+GE4zG+vp6Vq1a9baARmeIppXf7ycUCr3jgKPMwnd1dXHkyBFef/11NQni1GJ0AgfSLoVCIaVnedFFF7Fs2TIWLlyotDh/n+I73/mO0n1at27drMuIUY6maVx33XVn3ObXv/514vE4fr+fm2++WbEczxSvvvoq3//+90kmkwSDQX74wx/i8/mUoZezZNUJDs2m67dt27YZgOPFF1/MF77wBTV48vv9ClQT0waZUJFBlhN0OFOEw2Huuecefvvb33Lo0CG1X4AlS5Zw++23Mzo6yqZNm9i4caMCzXw+HwsWLJjBtBPHzUgkwsTEhGoLxKTJCVxmMsKcGnpyfiLxIWChDChlUCl/Tt08p9mFE3Bzlhc7y42lPO3thLOU2LlNeT0VyzKzn3Ky4JxakLp+wqlUnnnnuQn7R8BbAU9lgsYJ3AkbRu4feZVBu4C1wWBwBsgo8iTCOpQ/Me1ygmJTU1PKhTWTRSjnJ5ptzntfrpe4y8r5S2SCe87vMvs++S7zOchkIWYCfM5jdTJkBQzLLJWXZTPLrDNZovLq/M2dIKFTdsB5j2TeN5ksUWeZuGzbeVyzgZDO8nN5ZjL7LyebcbYJBOexOktZRbtT0zSCwaCaQHYydMUkKVMeQVy2JX9IJm0mwmk5nEqPheaJ4HIl0A0bS0vh0cGY5jCmy5I1bE3HjYY7K0A8mcKlWWTZMZKkNRen0HBNA5We6fVs80RZs22kAbskGrZhp92fZwEfPbL8yV+dICeCs/o6DfIBMTx4Scz8PiN0A2zTUAXRKcucBiE1XJp+WsDSxmY8YTFlQ79pYHl1cgwL9zRwaJsndm3aELd1kprBeMokYWl4NItCbDwuMK0029GyIWnaWJZNjm6hWWln695oipEpE1vTqA64iJo2QyMTHE9OsSzXwGu4OBbzkHB5yfPoVPtcjE2Z9CR1krjoiZlMeIIEXbaSXsjKyqKgoID58+erCSy5BwsLCxkdHVWau/KMSDlyWVkZWVlZ6l4TJiKkc2oxYRFTTMmjhDkpjEev16uMAuPxOB0dHYyPjys5EFleWLpiCjM0NMT4+Lhyxx4YGCAWi+H3+9E0TclmZGdnU15eTjAYVEaXmqapCq9AIMDcuXOV/rJt2/T39zM2NqY0LmUSfnJyklQqpVictp026ers7FSSLNLnCnALzMgfP2jxews6NjY2VjU1NR0/zffVwA+mPyaAx9/Gbv4/4AEgD/gW8NcZ+ygFvj79cWNTU9P+s9n46Up0zsW5OF1YlkV7e7tymHw/hcvlUtpuzz77LF1dXUprRNh0ubm5XH755RQWFvKrX/2KHTt2sHv3boaHhzFNE4/HQ1FREQszeK94AAAgAElEQVQWLGDx4sXU19crcxjbtpXRRk1NDb/4xS94/fXXCYfDbN68mVgsxsTEBNddd92MhFBmvHw+H5WVlfT19Sk2g2maynxFkkZxlW1oaKCmpoZAIPCuXjfbtunu7ubAgQMcPHhQOQFLhy/lYM7yHjkvSYilHE8cESORCLm5uUqrq729fYa2VTAYnDHoFiDIOSgVtss70cFKwizlhMlkkuPHj/Pyyy+zceNGBgYG8Pv9rFq1ir/8y79UeklvNSYnJ/nXf/1Xfv7znzMyMoLX62XZsmUsWLCAn/zkJ0SjUYLBIDfddBOrVq2aUSrtZIc4WT/O56+/v58HH3yQV155hd7eXjRNY+7cuVxzzTV85jOfYcGCBTOu0+joKPfeey+bNm1SJXLnn38+X/nKV5gzZw6pVEqZIzkdQp0DFadunHOw5Pf7MQyDvr4+xUo8evQoQ0NDKmGqqKhg3rx5rF69miuuuIKFCxfOYI9ZlsWhQ4d48cUXlQsuoAY+ixcvZt68efzhH/7hO8JydZYn5ubmviPPlDAZe3p6ePPNN9m8eTMHDhxQIKMAVHDiWZEyz7y8PObPn89FF13EypUrWbFixYwJh9/nEHmB6urqWYFf27b51re+hWVZeL1e/u7v/u602zt8+DBvvPEGpmmyZMmSGSxH0zRpbW2loqJCgegCJEYiET71qU8RDodxuVzceOONqkz4dEw2QD2j0kYdOnSIhx9+WAF/V111Ff/1X/+lJAPOtg0TUGBiYoKJiQlGR0fp7++nt7eXwcFBXn75ZQ4dOkRfX9+MfE+c5VOpFPfdd5/6/9LSUrq7u1V5765du8jNzaWkpGQGgFJYWEhlZaXSBRTAIicnh8svv1wNkrKzsxXzUNqDzDJUOQ8ne9356mS0OxmJToDHyXybjY3mXEeOwQnkyKvT/MYJDjqXmw3gEaDm+PHjVFVVqWVl4JjZTkokEgk6OjpUqasw16Q/i0ajShsP0pNrwhASzTNl6DDNIJTjcl6/yclJNVgXENbJyBwfH58xOSjLinabE0AUtr0sAzONXTKBKPk+kzkooKvzmsi94fy9Mpmos/3OzvYwk+HpZM6eiYnoBBflGjqXk2vtvI+cgGbm8c+2f+czmAl62nZae664uHjGRGImI9XZ/wsQ7awckUmqvLy8k54PZ7l2JlN7NmakVJkAyvF6aGgI27ZnlNbLxIG01XJ/CStsYGCAwcFBJQeQvkAWeVNDuLEYNA1MK0G5YaPbKAdnTYcp02LEtrB1F8mpKdzeLFxWEsPUQdNJWGBrGrZtoU0jbzppOUfTnGYAmmk37E7TTVBPUKmBkcFWdPaqb7klnt5uDJ1Bw4MPCz8ppsmLWOYJixebNNApdi8aYOtp1DJuQSQJ+e5ZGJbqmDRs3cBlQ8g0sZImHsNQpeS2A6/0maBpFmOWQdwTZDRhk2PFmLJTuOw0G9PExLTSz4zfY+A2dBK2jZmyGJtK4TN0slw6bl1jJBqndXCcETNKyhvC8nnom0rhciWY8nrItg36bC+H4x6mdIP84kJyHPqw4XCY/v5+vF4v+fn5VFRUkJ2dzejoqAL65syZQ3l5uTIPFOkDJytfjK3knhTg0u/3q5xUZGbEVV2W6+/vR9M0+vr6lJO1rutqmUAgoI5rfHxcSRf5/X7y8/OJRCKqmkBKvCXHrqioUIYwAwMDirkoQGFXVxepVNp4LS8vj/Hxcbq6utB1nfb2dqUTKfqUAqr6/X4qKyuprq5OM4WHhhgeHiaVSikWP6AcuAFVmv67hFyb91v83oKOwO7GxsbNwFPATqCXdNtTRZrh+HVARqT/b1NT07HMDTQ2Nkpv+2pTU9OHZ9nHQ8BtwCXA/9PY2BgEfkS6VPti4F7S5dtxTjhdv+WQB+1cnIuzjWQyyeDgIJWVle9q6eG7EbquU1tbS2dnJ/v376ezs1PNvkuHBOmksKGhgfz8fAKBAEePHmV4eFixutxuN5ZlMW/ePEpLS5U2lyR/lZWVrFixgoaGBu69915efvllxsbG2LFjB7FYjHA4zI033khOTg6JRILXXnuNbdu2KT1HKS12ajdNTEyoDtzr9VJbW8vExAQdHR0UFhaSk5Pzjv4eMhgXd9PNmzfz4osv0tHRQV9f3wyXVOfAQ64znBgUOh0Wk8mkupbj4+NqwO0sp5IkW1w2nQwg0dwSB7rs7Gzy8/PJy8sjFAqd9XWQ8iEnC0g6+A0bNvDcc8/R1dWF1+vlggsu4P/8n//D/Pnzz7hdAS6Fsfrwww9z//3309/fj8fj4bzzzmPu3Lm88sorCuy+7bbbaGhomFGadipAwqlXduDAAf793/+d119/XTnrNjQ08OlPf5p169bNYMMlk0nuv/9+nnzySXXvl5WVcfPNN7Ny5UpM01SOzwIyOn9X2afTCVSYS85yzhdeeEGBjZIoZWVlMW/ePOrr67niiiu44oorKC0tnQFADA4O8sILL/D666/T19en9i3sq9WrV3PppZcCsHv37ndsRndycpJ4PK5mrd8uYzIWi9HV1cXhw4fZtGkTe/bs4dixY2rQ5dRjlAGi3++npKSEpUuXKpBx6dKl74pkwPshent7gXTp8WzJbyKRYMuWLQCcd955p9yO3L933323Ena/7rrrGBoaoqOjg2g0ysTEBIcPH2bOnDkKLJJ77oEHHmBgYABN01RJtjwDMjniLG8WhqIMHgRcaG5u5tZbb1XumhdccIFy0J7tmIVNKCyLrq4u+vv7GRgYYGxsTOmOiomQ0/13YmJCsc0zga68vDwFIjpZUXIOK1asoKOjQ7lTx+NxhoaGuOKKK/iTP/kTZYriBOF+/vOfs2/fPgC6u7u5+uqrTzL0OhUo6ARDZgOGZispPRXL63TryH4yZSCcEyinCmG8OSd8XC4XExMTCoATxmJVVZUqUZWJGgm5b6TMsL+/XxkNOAEop2HB5OTkDIftiYkJBeiInhicAG4lMpmEmYCfE1x1MjczY7aS+MzlMj872/IzxWwg8WzAtPy/E8jLPJfMfiAzF3EClE4wMXM9ASydJczyrEjfJ0ChE3QEZgC/zslW53snA1SurwApQ0NDytxGfpvZGJROsDHTwdwJXhcWFiqjLAEpM48n8y8znBONwvYeHR0lJydHMRoTiQQDAwMqRxNAU/T2ampqlMZ3T09PmhE+OUGBLwEpjSFLx60niNkTeLGYsiClg9tMF01jawxOJQkYFoNxk6DbQDfAhYmOjs9OoqvC6OlJ0Ol/bNLgHzb0JaDabZB0mRineOQzHadtx/9lZhopIGJrxG2N0SkTvws8nnTJM6SZjUwDjUnbQsPGpRkKiIRpcNWGqAkhI63tOGsYEDL0tMmO7sIybZImaAZ4TshQAhouw0ZDx+PyouMl1+chZHuZSESIWglCmLhsA7eeZkUaOiQxGY6ZRFIabpcLl66h6xpDSeiY0mmPwVRikvGoi1jQwG/bjEamyLKTTOhuRi2LiOYG26Krq0tNPjlN+4aGhujv7+f48eOq3FmkeCRcLpcqT47FYoyPj9PX16cm78QRXZ45j8fD6OioAulKSkrUhFcikVA5VE5ODj09PcRiMSU5JOOErKwsVcnl9XopLCxU7btM8IRCIQoLC8nOzqajo4MdO3YoQsSqVatoaWlRJkwih1RcXMzY2BgtLS1qjNje3q7YwKFQiHA4jM/nY+HChZSUpH2BpW83TZOCggL1jI+NjdHb26s+AwwODs64du/EZHkymXzfje3h9xt0dAHrp/9OFUng201NTd95OztoamoyGxsb1wPPARcAfz7954wIcEtTU9NZlW+fi3PxQQ7pJHbv3s2uXbuUVkcikeD48eN0dXVRU1ODpmlUVFQwf/58SktLOX78uEpEhaWwfft23G630sjzer1UVFSQm5tLXl4e+fn53HXXXeTk5PD0008zODjIgQMH+NGPfsT4+DhXX321YuHs27ePoaEhdF2noqKC8vJyIpGIEvCWMqxwOMymTZuUc299fT01NTUUFhaSn5+vSrB/FzFg27Z5+OGH+e1vf6t0415++WUOHDigSltlOWfC72SSOB0iZbDlZEOIdooMjk/FCshM4J2C8+LgFgqFyM3NVaBjXl4ehYWFSvdEnBadZXpSQu2cSRWQb//+/Tz11FNs2rSJ7u5udF2nvr6eL37xi1x44YWzXjMBiKUsW8rjUqkUzz//PA899BADAwO4XC7q6uqYO3eu0pirqqrizjvvpKam5qTtzjbgFTAjFovx9NNPc//99/Pmm28Si8UoKyvjyiuv5HOf+xx1dXVYlqVK6DZs2MBPf/pTent7VfnqH/zBH6gS1pGRETVokqRMWEoCLGbqcclAxTRN9u3bx1NPPcW2bds4duyYYkP4/X5qa2tZuXIlV199NZdffvkMrcZ4PM4bb7zBhg0baG5uVpNihmFQU1PDqlWr+MhHPqJcs+H/Z+/Mw+Mq73v/OefMjDRaZqQZjfbVlm1ZXjAG21xwIEAcQyhLU8jW0JQ8edLk4iQl3Ka3l5vcNC1Jbp8S0iTtpYQHkhCDCVCoAwWDobZjjGNj7Bgvki1Z+zZaRrNImvWc+8fo9/pIlo0NTgKpf88zj0bSzJkzM+ec932/v+/CjAX9uy3x4IvH4xQVFZ3Wr+90zx0YGKC1tZVf/epXvPHGG4rVOTv0Rdd1xf6qqqrioosu4vLLL+eyyy5j3rx5v1V7hPdLffOb31Qsm7/7u7+b8zFbtmxRQSif/exnGR0dVcCbnIPSSAgGg7z44oskEgmqq6sxDEOBZIC6DgljQhbn4+PjvPbaa1iWRWlpKT/72c+Uz5Rddvl21d/fz0c+8hH6+vqArCXGxo0b2bFjB/39/QwMDDA4OMjo6KhijYtUW64fMLf8FE4CKMKil8WSvRobG7njjjtYtGgRxcXFBAIBfD6fktvOlpAGg0G+8IUvsG/fPkzTZNu2bezZs4frrrtOsUrlmv2Nb3yDrVu38vjjjxOLxXjkkUe48847ufjii2cwz053+11UNBplYmLibRU+AtjY2WV2Bpv9O7BbIQjwK2xweYxITgXslP/LwlRYXzIm2q0r7F6NMl7KGGqaJm63+yRrjFM9DWf/lPcxOTkJZK+5dtBT07JeaHZgbjbjTyTX9t/lsQLYC1A2O/naHrgjx5uAcPK+ZF8FKJDf5Xpsb0DNZsXK/+0N0Nn3pWY/3n4s2pscdhmnXF8EwLOPk3Jtn8uP0j7nsCeY27ehaVnvRPFItTdo7UoDewK1WJqYpqnGZ5fLpb5H+XylMSvzMZmTyW32WD77vn0uJxUIBIjFYorVFQqF1LEr7zcnJ4d4PK4AHofDoa496XSa0ZFh8gaOkT/hwDQNBicmqSBBhgQjpk4mAzk6uDWLjNOJQzcw0lMU6TqZVJJYBlyGjosUOZhgQApLSaRBAEMNDHChsbhAJ5XJzAAnTEDXUfLp04XASHCLHRM0ybIckxZ4tAQZTNLprHRZQErxWzQ0fRq8zGChk7I0UmTBBF2DXC0zh7j6JIhqpmEqY2HqGnlGFig0LTDNDJZQOwFds8ACh2GSo1tk8kqY0h3kWXGMQi/JdJr01BiZTBoH2XlWAp2hlMFhTSeTmaJcS+AyLUbTFt0JjaN6MQubAtlmF3EG4hb1Hgfz/G6SGZNgSmfCVYDbla/SngWwq6ysZN68eaRSKYLBIL29vYRCIXU+iXe2sMLT6bRqzAjQaPdzdzqd6nog11RAgYkDAwMUFRWpcyE3N1cx74uLixVT3H4NhyzQJ02eqqoqFYIkpIRQKKTWEMFgUIWhDQ4OcvjwYaVMEjJFPB5X2+zt7cXpdJKXlzfD81b8Gd1utwIcAZU1kJubS3FxMZqmKZajKKKEKWpPpD8bMsQfcv0hg453AGuB1UA1WcZhLhAGjgHbgIc2b97c8W5eZPPmzcGbbrppDfAF4JPAIsAN9AIvAvdv3rz5xLt5jQt1of4rVm5uLosXLyY/P59kMqkGgGg0ykMPPcQdd9xBQ0MDQ0NDtLe3MzU1peQjTqeTVCpFKBRi586dhEIhrrrqKlauXElVVRWFhYVqoACYN28ef/M3f0NeXh7PPvssfX19tLW18eCDD7Jt2zZycnKUV6J02WpqavD5fOTl5SkWQm9vL8ePH6enp0f5kQwODrJv3z4VMDN//nxqamooKyujpKSEoqIi5ZM1FzNkdqXTaaampujp6eGhhx6iq6sL0zQpKipSku/Z6agCtjocDvLy8lSX0S6ps3tVScd8bGyM/Pz8GQsu+yJr9m12mAacZFJK91+YkF6vV7EfRdIgScQej0exKQXMk47l+Pg427dvZ+vWrezdu1clMy5ZsoQ//dM/5brrrlOgswAbEhYxmy1jWVkvmb1797Jp0yb6+/sxDINFixaxYsUKjhw5gq7r1NfXc88996iEYTvAeCZgY2RkhIcffpinn36a7u5uLMti4cKF3HTTTdx4443Kdy6dTjM4OMjDDz/MoUOH1CLvkksu4TOf+Qx+v38GyCifi33xcab9ME2Tw4cP8+STT7J7925OnDgxI/l63rx5rFmzhuuvv55LLrlEdVBNM9sRl896dHRULTz9fj+XXnop69evp7q6+rcOTgj4LJ/DmUBHAXFbW1t57bXXeO2112htbSUYDKrutCy4xRS9oKCA+vp6Vq5cyWWXXcbatWupqqq6ADLOUc899xyQXdjm5uZimqaSOon0+Zvf/CaZTIb8/Hxqamp4/fXX1cJ8Nij305/+lGQyia7rrF+/ngULFihmn9vtxul0EggEWL16NYWFhYoJ1NzcrOTbL7zwAvPmzTvtPluWpVgZw8PDDA4O0t/fT2trK//6r/86w1uwoqKCT33qU6ewyOz7Lce7pGTKNcrtditGd0lJCWVlZVRUVJBIJHj44YfZtWuXCgGBbPL3T37yE1asWHFO30F1dTXPPfccR44c4W/+5m/Yt28f8XicZ599lpdffpl169bxwAMPqMffeuutLF26lPvuu4/x8XF++MMfcvPNN/OJT3zinF73t1V2MPBMZQcQhXF4urJfk+YCuSzLmgG02W8FBQWUlpbOkJDbATA7QDgxMaFY2HKMp1IpYrGYSmG2B3fJwl0WwfbfT/cZzMVKnX1f3udc90/3WZ6POtN25PppB++k2Wr3gbZL6u1goT18Yranox00tDOJ7SCwvRkq25Dv085etTMnZXzJz89XTDAZe8UnXJQJ9uuDvB/79ynhVAJMCmPSMAwlZZZADDmm7IoE2Wc7E9LOoLSDknZ5t9yqq6uJRqP4fD4ikQjxeFwB5g6HA7/fT3l5OdFolPHxcSYmJtRnURIoJSdXQxvMwTc+RKnTjWMqn3hKR8tzE01ZaKkYeVoa0mk0LWs9gpUh1wSwiJlpXLqFw7AwOOlrmP3AspBdEgsdDR3wkwTDnOHnqEMWPZShWA4326mi2R9rKxPI1SDfpVNGBiuTBT6s6f855EkmWWDQlPTsDGlLQ9OyMdQ5BmiagaHLM5n1ihnSFownUqRMjboCHUMzSGtgWPJICbAyMMmgZQxymaIg2sugVYBpJpnAQs/3kpPvo3BiDDOTJoWDYT2fEwUButx55EyMMh4bY2p8lNHoFN2xJCEjpdKSxyYMmJgiTor8OHh8fibcBQxEk+S7UPMdUfmMjo7icDgoKSmhoKCAyspKBgcHGRgYUF61ubm51NXVYRiGOo7kepWbm0tRURGRSIRwOIzD4aCoqEixe8V3VNd1xsbGVHNJ13XS6bRqTmYyGTwejzoGLcsiFAopqbJImGUcr6iowOv1qsdIQ2Z4eJhYLKbGZMPI+qJLqIvL5cLv9yvQcXR0FMiG3YlPsmVlbbi6urqYmprC4/HMYBaKDVFhYSG5ubkzQE75XAzDYGpqilgsRiwWUxZfbxf6+Idcf7Cg4+bNm58BnnmX2zirVdTmzZuTwA+mbxfqQl2o81CSUlteXo6uZ8Mo+vv7SSQS/PKXv6S6uprVq1czNjbGoUOHCIVC5OTk0NzcjNfrpbe3l76+PsbGxpQUraioiPnz588AHKXKy8v52te+RmFhIZs2baKtrY3Ozk66u7uVBKWiooKKigoqKyspKioiNzeX+vp6li9fjtfrJRwO8+abb/Kb3/yGgwcP0t/fTzQaVWmCPT09HDx4kIKCAgKBAJWVlVRVVREIBCgqKlJBNTIxtntYycR0YmKCsbExXn31VVpbW5WpsZjDG4aBx+NRgS9ut5uioiIqKyvV/ktXHWaGjwhwKGykjo4OFeYgYIJdSpZMJhXbx97pt3tKyf/EeD8ajWIYBv39/Qoglol8SUmJkhf6fD5ycnIUGCt+V4cOHeLgwYP09PQQDocxDIOmpibWrVvHVVddRWdnJxMTE6fYU8jnaZ+cG4ZBW1sbjz32GJ2dnei6Tm1tLUuXLlWA44IFC7j33nvnTJOevX27HLCtrY0f//jHvPLKK4yNjSm59m233cYll1yiJieQBXFeeukllQzY2NjInXfeyfLly09hN5wLuGdZlkr13rFjhwIbNU2jqKiIBQsWcMUVV3DdddexZMkSdUwIq1GOMWHa5OTksHDhQq655hpWr179rpi651Jy7It/j8jb7JVKpejt7WXv3r1s27aN/fv3093drQzR7aELTqeT4uJiKioquOiii1i9ejUrV66kurpaTUxn+3FeqJOeuidOnMCyLObPn89bb701A3BJJpOMjo7S0tKiHiMWDcIksIdm5OXl8bWvfU3Zanz1q19l3rx5Mz57CciwT/zvu+8+Ojs7AfijP/ojli5dSigUYnR0lGAwSE9PD93d3crbdmxsTIXK2AGKY8eOzWCjLVy4kFgsNsNCQpJihaFdWlqqrtvl5eWqeSQAwOyG0RtvvMGXv/xl3njjDbUwqq6u5q//+q/57//9v7+r76S5uZl///d/nwE+TkxM8Oyzz/LCCy/w0Y9+lPvvvx+ApqYmvvOd7/CP//iPtLe38/TTT9PZ2cmXv/zl33vYkd/vn5EOPZdv5Fy+kvaaSxou1yin06maWnaW3uzniHy6q6uL8fFxwuEwIyMjagwXhow0s+zHzlz7ci6Vk5Mz4z3ZGXn2bc6W2NoZbgKk2mt248TuAzi7ZNy0p3PbvR/t/5Ofp5N+2/dZ9k1A49M9Rh5nv29vdM5uAMwGDOVv9nNQ7AZkHJV5h9jACAiTm5urgEHxjh4ZGVHXK8uy6O/vV6FK0hCR64Tso/xNPN00TVOg4+ybHFNTU1OnMDnlWjJbVSLAqACm8lj78WIPBbQDoTInczqdRKNRvF6v8sQrKysjFosxNjam2GMxcikqqcGVX8hENELGggI9httMUOPW0Fx5hJMZJjImBZgUZJK4DDB1C8uEHKeG2zRxiv55Vg9P/BPNLN+RFDopDNxGJptWnck+7XTBMic/GNv9zMkk6Wgm+8QCMhgGmIaGNv1aJlnpsj4NaDrs28kY5OozQ2scxrRvo2XY2JYn35ipg+E0yNcyODQAk7SpZ30eZcemfybNrB+mI2NSbUyRozswNZMEGunoMBnDxHIZpHMLmTANwoaXcXLA0tECNWjl9aRDo4x0dTMeH2RsGjiUhldoUuN4dxDdypAhiKeoiPLycpLJFJFIhJKSErVGmJqaoq+vj/HxcUpLS5UvvsfjYWRkhBMnTlBQUKAsVaTxJ3YSpmkyPDxMVVUVbrebeDxOKBRS3qdyPKdSKfWahmGowETxapdjv7a2lvHxcRUYODAwwNTUFMFgUDHTIXvdKS0txev1zpjfW5ZFfn4+8+bNo7KyUjWWRSput19oa2sjkUjgcrkUEUQa8sJ6FFBV2OGGYaigRa/XSzweJycnR7H15frmdruVb6UQQM5kE/Jfof5gQcc/hLqw4LlQ77TOxJR7v5QYHBuGQU1NDUuXLmXPnj2MjIzQ09PDr3/9a4aHh5mcnOTgwYPEYjFKS0tZsWIFl1xyCTt37sTlctHX10c0GqW1tZVnnnkGl8vFDTfcMKevRnFxMXfeeSeDg4OMjIyoQVY6dW63m9raWgoKCigrK2Pp0qU0NDTg9/txu91UVVXR0NDAypUrOXjwIC0tLRw/fpyuri7lISIJcAMDAxw9elSxeQoKCigqKsLn8ympsUxkpWsejUbp7+9ncHCQ7u5uJY0FVDqhz+ejurpaBdk0NjayYMECqqur8Xq9uFyuUybsdg8jGbwTiQT79u2jqalJLRQEQBQA0n7fnpIdDoeVBFFS4ER+IbKOVCqlQDZN0xgeHqarq0t18KVr63a7cTgcxONxxsbGCAaDjI6Okkgk1ARlyZIlXH755QSDQfW+xHNGGIkSnmKfwPf29vLDH/6Qo0ePYlkWFRUVrFmzRqWgL1iwgH/4h3+gpKREPUe2LbKquRgsBw8e5Oc//zkHDhwgGo3i8Xi45JJLuOOOO2hqalKshYGBAf7lX/6F1tZWNE2jrKyMP/uzP3vX7CPTNGlvb+eZZ57hlVde4cSJE0QiESzLwu/3s2jRIq6++mrWr19PY2OjWqSKzHX37t3Kh0bXdUpLS7n88stZt24dpaWlZ70f5+s6JFIbmQwLyzEWi3H48GG2b9/Of/7nf3Ls2DF1ntllheL3U1ZWxrJly1i1ahWrVq2ioaFhhgzINE3VdYfs5NouF/+vUgIuyrktnXoJ25IFwtq1a9W5o+u6Wsxv27ZNeTr97d/+Lc3NzYolJIm9ckx87WtfU42Iz3/+8zQ2Np6yP9J0EPCnr6+Pr3/960ruCHDDDTeoa400OWYDFHbQJicnh+PHj88AQL785S+zYMECampqKC0tVc2P3NzcdwT6A2zcuJFvfvObtLe3K0DoYx/7GBs3bjzj8958801KSkqora09q9cR8HF4eJgNGzbw2muvkUgkePzxx5k/fz4bNmwAoKSkhO9+97t873vf4/XXX2ffvn384Ac/4H/+z/95Tu/rfJc0Nc6l5mKenslVJY4AACAASURBVK7C4TDj4+McO3aMSCTC0NAQkUiEsbExYrGYUlHYw8HOpuTaaWflyZiTk5NDfn6+ui9Au10+KwtauxdyIBAgPz9/Tj/F32XNlke/3X17qqt4WopEEk4GgdkDwWY3LmWuM9vPUxpHMsbKfOR0zE7ZNwEQZTt28HI2cG0/BgUgEKahAI+iMrF7xBYWFpKfn09FRcUp/pICeAoQKAxKmdcJ+CjvTa5fsr8CsAhQIvMze1Pabi8gqhU7gGkfg2UsjcfjiuEr+yQe3OLZJ/Obznia+KROjtMHpSUUj3dTNDFCfjqOU3dCoQt/Ikp+agLdAgMTTTNxGlmgUDuDWEBwSEtzktQdhPU8XGaKaCYFWDgNE5eZxLDsvo0nXR1FTm1lZpgmqv/l6dm/GmRDaxJY5JL1cjRsO3DKGWaAnpF9zGTdKK25fCM1snaUGZwYlDjBoQkoaZGvn3yfsn8WFjomWFnZtos0xYaJlesmmcqQdBgkLOiyHCQcXryl5ZSmpkiknCTNfBKpFOg68xYtpnHxEtrb2+no6KC7u5uJiQlycnIoKysjEAgoqXQ4HCaRSCiQfWJigvHxceqnQy7z8/OVZFqUK5FIhJ6eHuWDKMdKOBxWsmin06lsRwYHByktLVXA48DAAIWFhfj9fjX/jEaj6powNjamrAXEeiA3N1eNveKvbRgG7e3tTExMqMeJikk8ViW92u/3q/T2QCCg/E3Fb1HmMaJQk+uVnE8DAwOMjIwoWfmRI0fIZDJUVFSg6zqxWIy8vDy6u7sJh8MqrFXmSiMjIzO8KOVclHnm+fJhfL+u7S+Aju/h+l2xSC7UH145nU4uvfTS9+2FCVDSX5kULlu2jIsvvpht27YxOTlJd3c3sViM9vZ2+vr60DSNyspKFi1ahMvlYs2aNZSVlbF37156e3sZHx+npaWFjRs3Eo1Gufnmm2eASZBleO3evVuFDYhMW5iEXV1dFBcXc8UVV3DZZZdRX19/ShKZ2+2mubmZhQsX0tPTQ2trK+3t7bS1tdHX18fQ0JDqbMuEW8ILpINtZ9nIglskXOJxIotlmdS63W5KS0tpbGzkAx/4ACtXrmT+/PnKqPydLFw+/OEPn/YYkkFaFgSSJisApHil2AMXxA8tHA4rkFIYkvIzHo/PkD5Jl15SYO2DeEVFBStXruTGG2+cMbEXFsPsfZfFgNPpJBaL8eCDD7Jv3z4SiQSBQIBLL72Ujo4ONE1j/vz5fOc736GgoIBoNDpjgSST8dlJ4JBlNW3atImWlhaSySSVlZWsX7+eDRs2UF5erjq/jz76KJs2bWJqagqXy8XatWv567/+a7xe7zl/T/bq6enhueeeY8uWLbS0tCgDb5/Px8KFC1m3bh3XXXcd8+fPV4yXlpYWfvnLX/LWW28pP9Dc3FwWLFjAhz70IVavXj2ngf3b1fm6Dum6rjxx+vv72bVrlwqy6e/vn5HiKseNMNOamppYvXo1V155JUuXLlWLKnsHHrLHs3SqpewMoj/EksaOMKiFlS1ei3JeCrAA8NRTTwHZ647InQsKChRTyOl08tWvflWx+T7ykY+ccR/+7d/+jUwmQ21tLVdeeSVtbW0MDg7S1dVFd3c3/f39KpxFri3Hjx9Xx2lhYSGHDx8GTjLXBPiRhbTP51PsxOrqasrKynjyySfZv38/kE193bFjBxdddNF5/Xzvvfde/umf/onh4WG1SLvvvvvelt04OTnJd77zHQA+/elPc/PNZ7Imn1mBQIAnnniC4eFh1q9fT39/Pw8++KACHQF27drF0aNH1e8VFRXn+M7eGzV7TJOFd1dXF/39/QpYFF+ts5UTC9Ak8wC5SUPQ4/FQUVGhjitJrD/XMVYCh8bHx4Fs47C7u5vu7m6AGdciYd8IgAfM8G6eLTW3N1XtVhR2Rqu9oWJ/vLC95b7c3q78fv+M308HUNptXGZbs7xd2WXVstgXCXMymVTXCfFtE5a0sLEFWI5Go2q+YQcwZ7MqLctSCg75XdKhZ8vcpcFl92OUJpkAlB6PRzWXfT4flZWVM5i3Ho9HNX0F/JZxWuYddpm2sK/sTTbZN/t7Ed9STdMUsC7NOQGL8/PzcblcFBYWqs/XDtZGYlmFS7/upjCZR0kiTgEpyvQJAtoUOiYTGQ0XUIANAhQM/zTgY5Z1qJFx5eHOySdnchwNnZSmE8fAYRpgTqnAGR1tzvRqiwxpMxv0ok1H1ji0k0CHBjingT5hQwrTMot8Zh9kwbTMOlsmBhkrg6aBA21aDG47JoG0BSYZJdM2OekbebKmrQYwcekCVwJpsJJh4lNR3M4cJo08xjMGbWkH6ckojvAUC/M0Civm4dXz6OofJBaLMTQ0pMBuadB3dHQoeXFdXR2NjY2Ew2F6enrUnFuUB+Pj44yOjuL3+1WYTGFhoZIuu91uGhoalO2QNPjy8vKUH6TL5aK6upr+/n4ikQgdHR0KPEyn0/h8PkZHR1U4mtPpVNctAQqlsSfrmoGBAXw+nwq6aWxsxDAMNdeWsV0Ae8h6LPb39xMOhykoKFDKNlFtiX2BkBcEBBWAX5idAtBnMhmGh4fp6+tTnpT9/f3qfJBQGiF7iGfz8PAwOTk51NfXz7BekUbr+QId36/40AXQ8UJdqD/Qej8DjoBivNnlv7fffjv79+8nGo2qibkknIpPoXTZysvLqaur46KLLuLll1/mN7/5jQqT+MUvfsH4+Dgf//jHqa6uBrImxVu3bmXnzp3s2rVrBs0/FouRTqfp7e3F5XJx8cUXA9nJ/Ok+Z4fDQUNDA/X19cqoWBbSPT09BINBhoaGCIVCapJs7+7PNiWXTr9MKGVgl/Tu2tpaLr74Yj784Q/T1NREUVHROwKK7HWmY0gGZ7s82l7yvSUSCQVCjo2Nqa5rJBJheHiY0dFRxaSyMyGmpqZm/C6TYmEP1NTUKB9CmSzbyw7c2j2SIMu4ePDBB3nppZeUxGjFihX09fWRTCapqanhi1/8ogJIBWC0LwJk+yIXNQyDLVu2sGnTJlpbWzFNk4ULF/LpT3+aP//zP1eLve7ubr797W8roMTv93PnnXeybt26d/VdRSIRtmzZwrPPPqsCj8QjZ9GiRXzoQx/ixhtvVNLVRCLBr371K1544QU6OzvVgsTv93PZZZexfv368wJGvNPrkCyy4vE4bW1tPPnkk+zatUvJHu0LQQGnPR4PtbW1CmS87LLLqKioOKvzQNd1vF4v+fn5BIPB8zpB/H2W3d9MWIsCMAob2X58CzAjHqyyYBYJ4vDwMLqu09TUxNVXX62OfSkJXdE0jeuuu27GvohP7NDQEH19fTzwwAPq2MtkMmzYsGEG0+d0TEUBYFwuF9dddx2BQIDS0lJqamqorq6mqqoKv9+vAObZDMWnn36aBx54QC0YnnrqqfMKOEajUb70pS/xi1/8Qi12/H4/L7300ll5N+bl5SmA4aGHHiI/P58PfehD57QPgUCA+++/n49//OMEg0F+9KMf8dnPfpYHHniA119/HYCCggJuv/12rrnmmnf0Pn/XJQzunp6eGcBiOBxWIW5nKpH0CbNLpIgej0exWv1+P3V1dXPKzTs7O+ns7GRwcJATJ06wZ8+eGV6mdqBeAg5kIS3juvh9vd2+vldrtmzXHmQi11mxGRDQzc5yllt+fr46R/Pz86mrq1NzuLn8ou3sRGEwStlDVIRtKDc5/+cqmaNMTU0xOjqq2Eujo6PqGimebAJUil2HAHai2hDgVIAQuUZJE+xMEnI7K1auuXKcCliZl5c3w+JB5J52lYr9ein7JGCjff5SWFg4I0hP5KFi9xKJRMjLy1PScGn+K4++eByPlqbYpTM6qWFgUeYwyZ12SUxbZhbY46T7oQ4nwUf752BkE10TlkYiHqcgMUEOJhbgMFwYDgMr6cS00uhWCvkqrczMFGttGtBzqRfKSpinTINix8mwGE076cJoYrOKtO2bPeQmASTMrA+jx8hyGrVT3ohBxtKIpC1yDDBNsLTp1OsZjzv5PPvfNQ3cpHFkLJKpJJHUFEOmi3hKY2QyQb6W4ZhTo7Olm353KUXFPsLhsGqmaJqmziOv10ssFmN0dJTh4WFKS0sVezoWixGJRNR8wG4TIT6Dg4ODShYsrEWp4eHhGRJuwzCUR3Ztba2yNxEPU6fTydDQEB6Ph2QyOUOlIudlPB5XSdoCpPX19dHb24vD4aC6uhq326082ePxuFJBSaMzJyeH/v5+tV6Ua4W8t2g0qvbL6XQq8FXWMOIjX1ZWRlFRkTpPenp6mJiYQNM0xsbGGB8fR9M0wuEwwWAQl8tFcXGxsiMQgFKA0sLCQuVpKU3H3xdr/b1SF0DHC3WhLtR7spLJpPIeFH+ZD33oQzQ3N3PgwAHC4TAdHR0KrBPT4dbWVlavXk1+fj719fXk5OTQ2NjI008/zc6dO+ns7KSjo4PNmzcTiUT41Kc+RXFxMVu3bmXHjh288cYbTE1NUVJSQmNjI6ZpsnfvXgYHB4nH4/T39/Pkk0+SyWSIRCIsWbLkFMakvWRCsHjxYhobGxUFv7+/n76+PkKhECMjIwqMk5tIGtLptJrMC2NRmHx+v5/Fixdz6aWXsmLFCpqamt4zclDZT/HSKi0tVZNhu8xcZOxDQ0NK1h6NRpXUQ75bWaiUlpbS0NDAwoULWb58uVpsiI+S3E630Ein0/z0pz/l0UcfVV3JhQsXMjQ0RCKRwOfz8clPfhKn00kkElGLqry8PNW5tEvoZD8fe+wxfvKTn3D8+HEMw2DZsmV8/vOf55ZbbsHpdGKaJk8//TSPPPII0WgUXde5/PLLueeee96VsXQymWT37t089thj7Nmzh6GhIWVwPX/+fK6++mpuvfVWGhsb0XWdcDjMSy+9xLZt2xgeHlbeNvX19Vx77bVcddVV55QM/W7LzuCQ71vYbDt37mTHjh1KNi2sO1kIyWR6yZIlXHvttVxxxRUsWrToXfnTORwOKioqzlvIwu+q7Om7MtGWRYY0NeyLY6nZ4GJ+fr5iL8qCV0CESCSiPEFvueUWxdCx19/93d8pW4zLLruMH/3oR3R0dKhz2y6BloRqkQSOjo4qNrKc7z6fj0AgQEVFBbW1tXz3u99VoMfzzz/PVVddpUIizqa2b9/Ol770JSYnJzEMgw0bNrxrwN9e/f39fOYzn2Hbtm2k02l0XeeDH/wgr7zyyjlt5/bbb+fhhx/Gsiy+//3vo2ka11577Tlt46qrrqKxsZG2tja+//3v85vf/Eax6pYvX84Xv/jFM45dv6/q6uri2LFjDAwM0Nvby+DgoJJHv5302ev14vV6KS0tpby8nNLSUubPn09DQwOFhYXqOBkfH6ezs1OpD1paWtTrJJNJ5QEqYOLpvBvPV9kbI/ZGjf3vc923/03GQvu+2sHNs7lvvzbMBYzavR5/G2UHNcXWwOVyKR84uS8MIpFm+nw+SkpKVLiEXTEgYNlsMNI+R/F4PDQ0NKj3aA+iszeD5SbXUruP7cjIiJJvyk9pnNpDhuT54i8nv8disVM+D3sSuV0qnZOTMwNoElZYUVERxcXFFBcXKxWOHPN2lqmkcYvqJBwOK7aZgJUSpiHPd7lcWSm4Q6dgagJXYgLDW4IjESKRSZGjp8gBHBhZSXImC7PZU6LtZZEFD1MWxK0EeVoCXYOEkXVxNJJxcpIT0xEzFvYRWTNOplWL1+NJGbeBmYEkEEpDoQE5mo3VKMfFHPtk2vbVAlKGhgtr+nmGLd36ZKWsDNEMTJgGuUYGp6GBZZ0SanO60gDnNEo7lTEZiU5wJDpBg6+Q4rxsinZ3LElXJMHgaB+jYyECgQAlJSUKTJPmvTAfIWs/09fXp84PXddVgIzd9kiOCbF0iEajym/U7/erY8s0TcUoFPazy+VSjUxhhMt5YydMyHgrP2V+JWOk2BCJ566A/sePH8fr9SqfeF3XmZiYoLe3V7F9hbXr8/koKCggGAzi9XopKytTLGHTNFVKu7DfZe4rjZGenh71vuXckLVHJBJR6y65RjocDqLRqArc6enpwTRNRXgJBoMzGrm/y3n1e7UugI7v4TpbucGFulCzyzRNOjo6lN/E+7Fksul0OpmYmCAUClFRUcEnPvEJurq6VDdaBi2n00koFKKrqwuv18v69etxu91qMioTsq1bt9La2kpvby8vvfQS/f39VFRU0NfXx969e8lkMgQCAeWDmEqlqKqq4vjx4+zfv5+xsTG6u7t59NFH6e7u5pprrmHp0qUq9exM5XQ61YR4/vz5SjYt3fWenh46Ojo4duyYkikUFhaqpDcZHAsLC2loaODSSy/lAx/4AOXl5eddCvrbOIaEoQnM8F3Lzc1VieDSURRWSCqVUgCr+FzW1tayaNEiCgsLFch4OtDBLklKJpNs2bKFH/7wh/T19WEYBtXV1crIurCwkC9+8YusWLFiRkqkfaEy+7OYmJjg4YcfZuPGjcqTcsWKFWzYsIFrrrlGdYPvu+8+Xn31VTKZDMXFxfzFX/wFN9xwwzv+LC3L4vDhw2zatIkdO3You4Hc3FwWLVrElVdeycc//nGWL1+uurPPPfcc27ZtU8CDBC/dcMMN6nHns+zHEHAKuCiTRvlfW1sb//mf/8n27duVD6U9yECYSlVVVVxxxRV8+MMfZs2aNZSXl5/XlGl7wMR7rew+osJUEDDQblkwO9xBfIbsDBqv16vARTuQfrr3/n//7/9VTZDPfOYzHD58mL6+Pjo6Ojhx4gS9vb089dRTCnT8h3/4h1MYOCJdjUQiarvNzc185CMfoa6ujrq6OhXWJUwBXdcVS7yrqwuHw8HKlSvPmf3X2trKV7/6VQYHB9F1nYsuuoh//Md/fAffwty1fft2Pve5z83wb7zzzjv5/ve/f87buvnmm3n11VdVWM4PfvADDMPggx/84Dlt55577uG2225jbGyMvXv3smzZMj71qU9x/fXXn/M+/TbqjTfeoKWlhZaWFgYGBt5WCq1pGsXFxXg8HhXGVlZWpoDFvLw8Ojs7OXz4MJ2dnezcuZNnnnlGBQwB6hr0TkrmJXZAzOFwkJ+fPyezr6ioSIWOCFtNgunq6+vPSrb8+y67DFwSju1yb7FnmIv1CcwA2+Sn2MTMZn7aQU27lPxcyw4muN1upUrIz89XvpoS3ldRUUFNTQ2BQICGhoYZjcaSkpIZEu7Ozk6qqqoUyxGyx2RNTc0Mv0n5XIQJOZfEPJ1O09fXp1iH8hmKVNzufz07pG9yclIxr+yJ3wLYyvVeQrAE0JH3LMExgUDgFN9tkWCLbFTSu5XPY7IA18gkTi1BoaWRJJ+JZJLcTBSHZmGikcTIxjZnTFzMZCXaywQsKws+ZnQwdEglLXQthUvPhrcIQ1CYiXYAUwPMae9IkUxrRpZBaQCGI8s6tMgyKjNWFoCcHYSNgTKItKbtITOAEzAMPevBiAClhgIlLSzSVtZlMm1mMDRDMSpPrbkaJtltObUMpqYRS5scCqc4MaUT1xOU+YpwFhSQztXRcpPkhbNMxXA4TCAQoKmpSTUX5fhxOp3U19fPYB4ODQ2pJqLYz8hxF4vF1HcrILOcnxLgJyxcsSbq7u4mGAzi9/uVTDkSiSjQWlQiTqdTBQBalqX+ruu6aiRIOJecLzL2yzkic4WcnBwmJibUnEDASvHlra2tVfcF/JRrsviYiteknY0p53hHR4dqpCaTSXp7e5VFUkVFhUrqDgaDih0q56EAnxJ+OTIywvDwsJKgl5aWnlfljKwJ3291AXR8D9fs9NULdaHOtlKpFMPDw1RXV79vJYIOh0PJb0SObJomt956Ky+99BLbt28nFAoBKFaMDAjHjx/H5/Ph9Xrx+XxqUvjpT3+a4uJifvnLX3L06FF6enro6elRn1FeXh7l5eUsWLCAsrIyMpkM8+fP57LLLgPg5z//OS+++KLyTXnppZfo7Ozk+uuvZ3BwkOXLlxMIBM76PUrSdE5ODplMhqGhISUBKC0tpaCgYIaReVFREQ0NDSxbtoyFCxdSUlLyW/t+z+cxlE6n1cRIgCQp0zRxOp2Ul5dTW1urGAwy4baHRTgcDgKBAH6/f05gRORNdv9FuwfjsWPH+NGPfkR7ezsAVVVVVFRUMDo6itfr5ctf/jI33HCDAl/ermKxGP/yL//Cpk2bVBr3mjVruPvuu1m1ahW6rjMwMMDXv/51jh07hqZpLFu2jP/1v/6XkvW/kxoZGeHJJ5/k+eefp7W1lXA4jMPhoLa2lssvv5zbbruNK664AsMwCIVCPP/882zfvl2FpBQUFLBmzRpuuOEGampq3vF+zFXCuBMg9/jx4+r4nV2ZTIb29na2bdvGq6++SkdHh2IaSRBJTk4ORUVFNDY2snTpUpYuXcqiRYtYuHDh+9aL7mxLPkORCcli387Ass8TZOEpoIcssO3WEwKSnA1IG4/HFSv7xIkT/OQnP1ET6z/90z+dsTgWk3g5t8VjSr6/8vJyKioqmDdvHhUVFXzlK19RzYbNmzcrYHquSiQSDA8P84UvfEH5L4m35NlWNBrlK1/5Cm+99RYAPp+P//iP/zinbZypNm7cyFe+8hVGR0eB7Dn24x//+B2HQhmGwd13381XvvIVxea4//770XWdK6+88qy20dLSwubNmxVDqa+vj61bt/5e2I2WZXHo0CEOHTqkQGpJ9pyrxPuutLSUyspK6urqqK2txev1cuzYMQVy79+/X3mDCat3LkDRNE2mpqZmWKLYAUQBpITpK0yekpISysrKqKqqet+AhOe7ztbT8d1WZ2enAjYHBwcVcDc6OqqudzI+2OXrdnsauf4ICDA1NaWabGdbduBYbCUKCwvJy8sjGo2yaNEiiouLmTdvHjU1NXg8HiXVFtDF6/UqqafY5Ng9oYVhJgwyuyxUwEthic1mlYZCoVP8d+0Ap0i/7UCkzCNnJ7bbme3CInW5XAQCAbxeLzU1NQo0F+ZkMplEGynBHOigcGwAM6mTnsoQTOWSSCbJmBnytQwBkhQaKUzMLE8xwynsPw0wNYhbUDCdFu3Ws16MGszA6XQgZUDKhNzpDaUxAB3DSCkJtzX9OgUG5NkCYfTpzWWsOUDBaaBRJwtYmkAGDXM6Wxv0k5aUhnkS+MxkN5TSQDcMUhZo076Sp5aKxj71hTGwNBi3DMawaA1F6U87yY2FyC1IU15RSWlpMaWlZeo6J8158ZeVhqMcA4WFhQQCAQYGBtT5kkgkKCoqIi8vD4/Ho3ySpZFpB+cBJYGWBuDChQuJRCIMDg4qn3lhlgtDXM45mcdDNqTQ4/EQi8XweDxKdmyaJkVFRQqwHB8fx+12K5a6nMNiU1JTU6MYypZlUVlZyf79+7Esi+Hh4RmWCqL6EOAVmJEwrWkaXq+XkpISNE1jYGBANW6dTicjIyNomkZ5eTmpVErZawWDQTRNIxAI0NzcrFQaEuzpcrkYGRlRTObZgVXno1Kp1PtybX8BdLxQF+pCvWdr0aJFlJWVcejQIbq6uohEIpSUlHD77bdz4MABBTpmMhmVepZIJIhGoxw4cACANWvW0NzcrHy1/uRP/oTCwkIeffRRdu/ezdjYGOl0Wk0sBXAEWLp0KWvWrKGqqgqHw8Fdd91FIBDgueee46233iISiXD48GGCwSBr1qwhGAyybNkyFixYcFYDgmmaBINBWltbOXToED09PYq1pOs6Ho9HedXNmzePxYsX09DQcN67Zr+NSiQSjI+PEw6HmZiYmDHoCltKWIr2pE446dEknVWRSMBM6ZmdwSgTDHuypciIJGFv48aNtLa2qqTqJUuW0NfXR2FhIbfffjsf+9jHzvr9CXvx6aefVobeH/zgB7n77rtpbm5G0zT27NnDvffey9jYGE6nkxtvvJENGza8YxPoTCbD9u3b+dnPfsa+ffsYGRnBNE1KSkq4+OKLufnmm5XH5ejoKC+88AK/+tWvFCPC6/Vy+eWXc9NNN71r4MEOLtoZjHaGvp3lASe9MLu7u3n55ZfZunUrx44dUx6NdkZvcXExixcv5oMf/KDyKZXkxImJiXcduPNeK9M0FXNR2IuRSGSGt6kwwESCLAtBYS3K4tEOLr4dY1NYM0NDQ/T29tLe3k57eztdXV1KLihSqcHBQSC7WLWnNAqTRuTSLpeLJ554gvr6ehVkZfdWfO655xTT+Lbbbjsj4Cj1i1/8Qvn4Xn/99VRVVZ3T5/uNb3yD1157jVQqRW5uLo899pi6zr/buuuuu3jggQcUS6i8vJw333yT8vLyd7XdhoYGbrjhBp577jkFRtx3333ous7atWvP+Nwf//jHvPrqq+zfv5+pqSklk/9dAI6WZdHe3s7Bgwdpa2tTTTrxjLOXYRhUVlZSVVXF4sWLmT9/PvPnz6e9vZ3XXnuN9vZ2jhw5wvDwMOPj42ct6xWwSKSmPp+PTCbDlVdeSX19/X9ZAPG9XPX19edlO+K9OTExwdDQECMjIwrMlPmhhPIJi9DOqJ/tyyglwPWvf/3rGWnS9uRyASpFnWFnGRYXFyuriNnJ4NK8sUtS7QFe9rRqaYjLPMe+/7JNexr7xMQEk5OT6n3ZH5tMJtU8WoJyxCtSgvmEFSrs4kAgQInfT4PHTWXVAnJ1SKMx4cwnnMqyX9ODXTjDbbhS0yw1M4FmTL8XC2X2KGEvad3BlJkmXwfnKV6IJ8uRgTQQS0GODmkyOI2MgvM0Ixs2A1n2o4TESEq2QRaUFMbkDGxwlkw7joNJdHLQKSCFjjm9X1kg0iILUOqGRoGl47IMUpaJZqWJm1CoZ0GWmd6TyF5M/5bBIoOFQcaCUVMj4fZQVVOU9Qo0DbRkir6+PuU7W1JSouYJkrgsvoTi9Tk1NUU4HMY0TRoaGohGo2o8F5VYXl4ebrdbzc3FAkDsVAoKCtSxkkqlqKysxDAMfD4feXl5jIyMqACrRCJBbm4utbW1RCIR3G43oVBI44IhSwAAIABJREFUnVMOh0OlT0ujSWyQxDNfWM8SFuPxeCguLiYvL08lZicSCWpra9UcOp1OU1VVRUdHhwqk8fl8LFiwQM0XhbErjOBQKKTS6cWGa2BggLGxMcVOFIZleXk5Xq+XsbExgsEg6XRa+cBfdNFF1NTU0Nvbq9LAxRdY5tsiLX+/2fX8tuoC6HihLtSFes+Wy+WiubmZnTt3Mj4+zq9+9StuvPFGFixYwIIFC+ju7lbgh3TDmpqalATo17/+tVrAr1q1SqWeLV26VAVMSCdafNBCoRClpaWsWbOGlStXUlpaqlhBJSUlfOELXyAQCLB582befPNNQqEQwWCQV155hba2Nq666irWrl1LY2OjGqTnqkgkwtGjRzly5AgdHR3KkyWTySg5r9frpb6+nqamJubPn095efmcPmrvlZKBV+QSUjJxFqmDJJNLiYebSDznAkokwVhAGJF9yMRbOqoijSooKFDAzNTUFI8//ji7d+8mHo9TVFTEihUrGBgYwOVycfXVV/O5z33urN/n5OQk3/ve93jyyScJBoMUFRWxbt067r77bubNm4dlWTz66KM88sgjpFIp8vPz+dKXvvSu5NT9/f08/PDDvPTSS5w4cUJtd+HChVx//fV89KMfpbKyklAoxC9/+Uu2bdtGKBRC0zSKiopYu3YtN954Iz6f75xeV1gXZwIXZ5d8B06nk8LCQvx+PyMjI7z44ou88MILHDp0iFAopCaZkjjs8/lobm5m7dq1rF+/nqamphmpqvC7Y938Nku8Te0Ao4CpdgajSHQFXBR5tN1zUYKMzuY1RWbV09NDe3s7x48fVyxyWaDOJW21MxYA/uiP/ogPfOADCryprKzE6XSyfPly3G63Skk/XX37299WbKC//Mu/PKvP7JFHHlHWBN/+9rfP6jlSL7zwAk8++SSxWAyHw8Gf//mfnxcfx2g0yq233sqrr76qbD7Wr19/TgzKzs5O7rjjDvLy8ti4ceMpx/btt9/O3r17GRoaUsDj/fffT05ODqtWrTpley0tLfzzP/8zBw8e5MCBAySTSZxOJ4FAgLvuuutdv+e5KhgMsm/fPo4fP05bWxtDQ0OnpClD9jjy+/1UV1ezaNEili5dSjqdZteuXbS3t/PEE08wMDCgWC+nK5G+SgJwIBBQTPmmpqY5AcVEIsH+/fu5+OKL3/MNuwv17kquS+daAiycOHGCgYEBxaAVj+3R0VEGBwcVc9gOVApQaAcqZwdhyX17EKBcxwWYFK++qqoqysrKlM/i7AafgIbSqJNxWvZHAvwEQJHzScAXh8Oh/BwnJycV+0tYpPJ3AR/Hx8dnNIqliWRoGjkOA6fbTVl51ne3sLCQqgIPUMJkOIUB5KZNtIzI0bOS6KxTI2Qy4NIsDONk8MzpSgNyyLIjM2Q3kEyfClSmyUqjNSCVUcrpk16NZAGQk7PQjHqENe1FGUlncOomSSzimolD03DqFo7p106jI+8iozmYNMGFjkvT0bEYT1m4jSwrU8CWkwCkNv2qBplpfXkiY5DnMMhzOYiOhlWgmJAQJODH7/eTn5+vfApTqRTBYFAFEgnAres6eXl5TE5Oous6gUCAnJwcTNNUIUl5eXkUFxcrAFpYsyJ7Fkub/Px8hoeHKSwspLS0lEAgoJRYMi8XMFF83GU+EY/H1VzGMAwKCwtVKrycQwKoS9jd2NiYmu8UFRWpOb/42gs7UoBCTdNwu93U1dVRXFxMJpPB7XaTTqeVFYZ8ZpqmqWCbwsJCKioqMAxD2czEYjGOHj2qmMCBQEAldov/vnwvwWCQYDDI2NgYlmXh9Xppbm5Wn4Wc7+/lddvvsi6AjhfqQl2o92w5nU7FghgYGGDbtm1cfPHFnDhxQvk3ifn2xMQEw8PDlJeXU1NTQzAYJB6Pc+DAATWQXXHFFYTDYV555RW6u7vVACjU+1AoxFtvvcXixYtZtmwZZWVlp/hm5Obm8olPfILy8nKeeuop3nzzTXp6egiHwxw/fpzR0VGOHDnC2rVraW5uVjJQ2U4ymaSjo4MDBw7Q3t4+Y8EvHXOPx6PARnn+uwnH+G2VTF7Gx8dVqqOUgKfS/bcv9ARkkr+fKfRFJCF2kNEuvxXAUn7Kfbsf6AsvvMBTTz1FKBTC7XazbNkyhoeHMQyD5uZm/vf//t9n/Z4nJib4/ve/zxNPPMHQ0BDFxcXccsst3HXXXVRUVBCLxbjvvvt45ZVXlPzj3nvvpbGx8R19xslkkpdffpmf/exnHDhwgLGxMVwuF/X19Vx99dXcdtttXHTRRUxMTPDv//7vbN26VU3CvF4vH/jAB7jpppsoLi4+7WvYJV2zb2cDLgrAKPeFKdHZ2cnLL7+sQBAJEslkMjOAxoULF3LNNddw1VVXsWzZsncVrPNerEwmoxZxkUiE8fHxGR6MwmrRdV0ll4r/m8iU8/PzzxpgTKfTDA8P09vbS0dHB4cPH6a3t5eBgQElL5oNLsr3YQ/iqKuro6Ghgfr6eu699146OzspKChg06ZNp5yzHR0dCuS+9dZbT7tvIyMjHD16FIB169ZRW1v7tu/ns5/9rFo4ffKTnzyncykajfKNb3yD/v5+DMNg1apV/L//9//O+vmnq9bWVm655RbFnHa5XPyP//E/uPfee89pO+Pj48prcN26dbz88sszADO3280tt9zCww8/TCKRUGyPb33rW3zzm9/kkksuUY/96U9/yosvvsiuXbsYHBxU3+eaNWt46KGHzsn643Q1OTnJvn37aGlp4fjx4/T3988pX9U0jdLSUioqKqivr8ftdtPf38/AwABHjhzhlVdeOSO4KMBiRUUF5eXl1NfXs2TJEpYsWXLeGHEX6kLZS0DspqamGX+XsXBiYoJ9+/bR3NyswjDC4TDd3d2MjIzQ29s7A6S0g3fxeFyNfZAdE2KxGLFY7BRQUn7K/EaSrcUqw+PxUFJSQklJCeXl5SrN2j6Gy/VdgmrsTHqZRxmGQXFx8SlNXrnGiIQ3HA6rxrydaZzJZJhKJoknNbSpOKNjIY4cOUJhfh6r/TnoBSa5hobPaZLryEz7M55kHcpvuYZF+bQHox0YnC2vBpQE2gVEMw4szcIyM7i1k/JpZmwfso6LphJJp6f/75i9YduLpU2wTND17GtpFpjWyTAbC0gYFgkM8sgwhU6vlkthJkG1niZH0zCcFroJaSurudYBy9KxNHP6tcUb0iRlwZSZIZ3IUJxOsbzSz5FgmFQqNSN4ZWpqioGBAZVkXlJSoo61qakpxWjNZDIUFRWRk5OjwGhRe5WXl9Pd3c3w8DCTk5Mqkdrj8TA8PDyDiCFzfGFAip3B6Oio8lT3+XxUV1djWZbyVDRNU9kOCJgYiUSU56TP51MSa1EyyZxdpM/yPFlXmKap/B0nJyfp7+9ndHRUqdwqKyspLi4mnU4TCoWUlFwYoCJ3ljRsv99Pc3MzdXV1ynPXMAwFIDocDrWeFPsO8W8UNmk8HleScknAdjqd6vxLpVLqHL5QF0DH93S9H01CL9R7o+wpd+/n0jSN6upqVq1axbPPPktvby8bN25UsgC3261MiiUso6WlhWQySV1dnUqAPnr0KLFYjKGhIUZHR9m2bRsdHR14PB7Ky8uJxWKEQiHFPNq9ezf19fX88R//8ZwyTsMwuPbaa6mqquLJJ59kz549tLS0EIlEGBgYIBwO09XVxbJly7joootoampiwYIFWJbFsWPHlJTa7kUki6yGhgYWLVrEokWLlJ/O76NOdwxlMhk1EY1Go2oSLTIh8UOStGcpe/Lz6YJfRBotIKN0T0V6ZE/utvsPyW32vk5NTbFnzx4efPBB+vr6cDgcNDU1KalSTU0N995771n5N0J2ovPDH/6Qxx9/nKGhIXw+Hx/96Ee5++67KSkp4cSJE3z729+mtbUVTdNYuXIlf//3f/+OE8W7urp45JFHePHFF+np6VHp2qtWreJP/uRPWLduHYZhsGXLFhWKpGkaHo+H//bf/hs333zzDKDhdMDi2yXCnglcnF3RaJRdu3bx/PPPs2PHDrq6upQJPqCMuxctWsTatWu59tprWb58OR6P5z0b3nIuJR18u0RaWJ0ygZZJqzBxJXVRQifsDMa3+0wkobKzs5OWlhaOHTtGf3+/mghLQ0UWLbKQFemSTKobGxupr6+nrq5OpVLag5M+97nPoWkadXV1czYJ/umf/ol0Ok1OTg5/9Vd/ddr9/cY3vkEqlcLlcvGtb33rbT/PI0eO8OKLL2KaJtXV1WzYsOFtn2Ovv//7v1eyb4/HwzPPPHNOz5+rJDCmra1NbfeJJ57guuuum/Pxc/m0yX1hmcjvH/7wh/nBD36gvKsAVq5cyY4dOzhy5IhqTgH8n//zf6iqqqK5uZlDhw6xf/9+jh49imma5OTkUFVVxXe/+11uvvnmd/xeu7q62LNnj5Ldi1fV7CooKKC2tlYB1YODg2qfnn/++dPKosU+RNiKAiyuWLHivDKa/1DmRBfqd18y3hmGQVFRkQIWMpkMPp+PmpqaU8C+01U0GqW3t1fZWYyPjzMyMqJUNvbkX5mnyN+GhoaAUxmUMpYIOJmXl0dRURGVlZVUV1crSbeMsTKXkv0VgNHuk2kPRSopKVF/B9T1Ozc3V829gsGgku0mJ6LExicY03JxOAx8bjA1CxMT3Z4ZbWRFyjoaxix0UY16s2wQremwGMvQiBu5oGu4zDQmcazphGsN0E1USoyOhjadPJ393MAQZqR28nF2qNIkCzbqGchxZsESkWTL/+NJC01PoTkgH5MFRpLJ6R1MahZOIxuEY2Y0LIws6KmBZgM4dcCpGaQwCSYydETTBHJzSKSnKPH7SGeybEbxBpQxQRipIqsWAoZYsYTDYVwuF16vF7/frxiBpmlSUVFBSUkJ7e3tKnk5mUyqx4pfqICYdh/QqakpNdeXIM/BwUGampooLS2lqqqKeDyuJNMSNBOJRDh+/DihUEgx4WUdF41GFcgngLgQCCS8RSTXsh5oa2tT++F0OlmwYIGas3g8HkUoKSsrY+HChezcuZOOjg41p8rPz6e4uFh5509OTiq5uPjO5+Tk4Pf7lS2D+DaKpYzP51MhNRLUU1JSMoPlKEGY79RS6XT1fh3HLoCO7+E63wfphfqvU06nk0svvfR9e2GyV01NDU1NTdTU1NDR0cH+/fspKCigvr5eTXyqq6uV70YoFOLYsWMkk0lqa2spKytjcHCQEydO8OabbzI4OKhkCmVlZdTW1uJyuejs7CQYDDI8PEx7ezuPP/448Xicj33sY6eVpDY1NXHXXXexZcsWtm7dyoEDB+jr62NiYkJ1Eo8cOUJjY6NKPxNGoBiPW5aF2+2moqKCxYsXs3jxYubNm3fOQFUqlTorD7ezLfsxZJom4XCYUChEJBJR7DeRRAhrUeQWcDKpWiYPcwEVksaYTCYVQCJy6VQqpSbTMrmV9L0zAZdS8XiclpYWfvSjH3HkyBEsy6KmpkZJfb1eL/fcc89Ze5xNTk7y4x//mE2bNjE4OEhxcTE33XQTf/VXf0VxcTGvv/463/ve95T86oYbbuAv//Iv39E5mEql2Lp1K48++ij79u1TnpCLFy/mIx/5CJ/85Ceprq5mz549/Nu//ZvyuisoKGDlypX88R//MX6/X3V8ZUF0psWQSK7mur3dMZVOpzl27BhbtmzhxRdf5NixY1k/oumkTemkNzY2smbNGtatW8eqVatUyNP7uSThURi/oVCIWCymjmU5RwR0F3l0cXExBQUFMzwYz/RZiJRKpNGHDx+mvb2doaGhGQEa9u9YZE7Sga+rq1Pg4vz58ykuLj5tKvvskgXvtddeO+dnsH37dgAl4TpdvfjiiwDMmzfvrFiOX/3qV1WS6h133HFOLMcXXniBBx54QEmp/vVf//Vd+zg+/fTTfP3rX1dhVH6/n9dffx2/308wGJwBKArA/HZAxF133cV3v/tdIMsE3bBhA/fddx+FhYVomoZhGHzmM5+hs7OTgwcP8sYbbzA2Nsbk5CRHjx7lmWeeUee5yOFuueUWfvKTn5zTe5ucnOT111+npaWF9vZ2ent71SLTXrm5uVRWVlJbW8uSJUswDIMDBw7w1ltvsXfvXuWTbK/TgYvnmsb9Tuv9MCey+/fZf8rnb/9dbrOfa/+//fe57p/uf/brkH08n/23ue6Lb5r9vvxP/m7/Dt5P1//Zx5B4FM8ue4NhtmqgsLBQzfPsNXv8TSQSdHZ20tfXR1dXF6OjowwNDREOh5WyRFQg9maiKH8sy2Lfvn1KciuputLgKi4unsGWq6qqUnNS8dWTRGt5TUk6drlcCqgSRpoEz8RiMSYnYpTqE/j1CRxmCodhoWt2viHo6FgZjckM5OoWhpaVRKcBl3Fq4IydumgCKTTijlwSzjz8yRDpjI4T8yS0OL0BC9CnPSSzDopgWCaaZmU3eprLsjEdbhPPQI5xMrhGXl8H8nXIYEIGckmSSwKfkQVGIyakrKzs25hmcWrTgKlpE5EnrezjMpqO5jAYTEPNtMXKpJnBlZ8FzsbGxrL+oZqGy9BIpNOEw1kmpM/nU/7K0vAUkLGkpESlRJumyfDwMCMjI0oN5PP51GMFCMzLy6O0tFSNKRIwY2+Y5ebmquMuHo/zm9/8Br/fj8vlmiGblvm/rusUFRWpZHcJwREFgxx7ovyQ408SqmWuEo/HlUrJ4/HQ0NCAz+djcnKSwcFBOjs78fl8yvdeAPvh4WFCoZCan4nKZmxsjMHBwRkkCrEVsJNZ5JzKZDIEAgHq6upUME44HGZ0dJT6+noqKipmjPcSfOdyueY+0N5hvV/xoQug44W6UH+g9V6eXJ9L6brO6tWrefPNNxkeHqatrY2qqipKS0sVc2HevHk0Nzcrf8RwOExbWxtTU1PU1dVRVVXF3r17VdJvXl4egUCA2tpaysvLqa6u5mMf+xg7duxgx44dnDhxgvb2dp566ikSiQQf//jHTxsKIAu85cuXs2XLFnbu3MnRo0dV93pyclJ12KRD5vV61WDs9/tZsmQJK1euZOnSpXi93nOeiMdiMd544w08Hg8rV64EUIPz+Pi4mjzOlsrquq46+MJiE4mD0+lUpuuy8JQgCMguPCXRUf5mGIYCBcW8eXaJx4vIjkQubQcZxcslPz9fbWsuJuPpKpFI0NvbyyOPPMKuXbtIJBIEAgEWLlyoZIef+9znWL58+VltL5VK8dhjj/Hzn/+cgYEBiouLufHGG7nnnnsoKiriP/7jP/jnf/5nIpEIhYWFfP7zn+eWW245q23PruHhYX7605+yefNm2tvb1aTy0ksv5bOf/SxXXnklbW1tfOtb3+LIkSOKlbB06VLWr1+vUrHFHH522Rc28r2fbZqxvSzLIhQKsXv3bp599ll2796tUhLlOHO73dTW1rJixQquu+46LrvsMurq6t631yZhMUajUcVgjEQi/5+9Mw+Pq7zv/eec2VeNdlmSZcmWJe/GK9AEgwvBBJM04SnECTehl/Y+ufc2NCXNDelzc9OmSZrAE5I0NNA0SUsgCQ1NIJACCTvGdjAG4323VksaabSMNDMazXbO/WP8e/1qkBe2FFL/eAbJo5kz55w5y/t+f99lGkNED8MRgFEky5KOKwbqZ/qceDxOZ2enAhiPHj2qPMZE9iQDW7FliEQiVFRUMG/ePFpaWpg7dy5z585V3mDnAi7OVHfeeafyLJyJaZjJZOjt7QVgxYoVp13Oc889p6TE//N//s+zfm4sFmP79u3k83na2tr48Ic/fM7rnEgk+Mu//EsmJiZwOBxs2rSJ66677rSvF0mZMH8Nw1CAoYCHW7Zs4Ytf/CJHjx4Fitf+n/70p4oZcqYSsEWuszrYu3HjRh555BGOHDmiJJt/+7d/y7333jsNpCkvL2fp0qVce+21/PM//zP33nsviUSCTCajPicQCLBgwQJSqRS33norF1xwAe95z3sU40SOG9u2OXDggAKvxUh/JnC0oqJCMfAbGxvp6+tj7969bNu2jZ/97GdMTk6+5j1ut5v6+nra29tZu3YtV1111X+aF6tsNzAt2Eo88YRRpqcIl/5N9pnecNOXo/9Nf62+v3WGmv6YKd1UB/tmAvb0388GEp4OhCxdH/058cqWhuJbXaXboAOSpQ8Zd+hpzPrvAv7pv5ful7eqzuX6KetQ2nwRRvNMD2FF6Szi+vp66uvrueiii2ZsBoqv3MDAAMeOHaO/v1+xJwVcEtltJpNRqcMSFKKHjTkcDmXtEQqFCAQCSm4uKe5yb5cGVy6XU3JXAVTFT88c6cNM91NrF/AYhZPYnkOLTyn+dJngME76YtqQtYpSZk8p1fEkQVKIiTYOXPkpLMMg7wmSzJqE8hMquEUeJieTqk/ii3YBHKZ5krEoPMvpNQWMWSaDhouUbVFDblrqtcjAnUZRhl2wwWXa04DFgHkKzzS11O5ieI2JRYFsocB4HuJ5CLsgZzmoD7iw8hbjqSRHB2L4TzYNAwE/9W4HFUYelwnZgs2E6aUnnSEajVJVVUU4HFb2QmJl09vbq1h9egkj0rZtwuEwUGw6jY+PE4lEME2TYDCovD7T6TQej0ddCzOZjCICyLEo4JwQDnw+n3ovFNmZkUiE6upqNYYRgM7tdpNOp9X4XzzcBVSPRqOKMSiMT0lcHxsbw+VyKZsq8XqU18tYbXh4mMHBQSYnJ2ltbcXj8RCNRolEItNS4AcGBpQ8XMZupmmq9RILBrfbzejoqJKNezweNU+U8YSA/u/WMe9bXedBx/N1vs7XO778fj8bNmxg//79DA8P09PTg9/vV0CVx+PhT/7kT3j88cfxeDx0dnaSTCbp6ekhk8kQDocZGxsjHo+rSYRMGhobG3nf+95HbW0tCxYsIBKJKLZWV1cXDz74IKlUihtuuIE5c+bMuH4Oh4P58+fT0NDAqlWrePrpp3n55Zc5ePAgQ0NDalIoN+NAIEBlZSWzZ89WXWeXy0UymVRg5Oupo0eP8thjj6muWjQapbu7WwEUEtghk6JSNoJ02YXVKAbQ+iRAjJbFU8jn8+H1epVpdWVlJWVlZa8BB23bVgbVur9RNptVgw0BaITJKLKeN8oS7O/v54EHHuDRRx9VQOAFF1zAyMgILpeLyy677Iy+c3oVCgUefPBBfvCDH9Dd3U0wGOSKK67gr//6rwmHw9x333386Ec/IpvNUlNTw+c///kZAx7OVrZts2vXLv7pn/6JLVu2KGPwefPm8f73v5//9t/+G+l0mm984xvs2LGDbDaL0+mktbWVa665hvnz56tJloAbpQ8dNH6jlc/nOX78OE8//TSPPvooBw4cUP45Iq+vqalh/vz5XHHFFUo+/VZ3en8XJSxG8fKRsCfp5AtYIGEvFRUVKjhHAEYB+05XIj3q6uri+PHj7N27lyNHjqjEVT3REVCTQ2Evzps3j9bWVubPn09zczPhcFglvr9Vk+4HH3wQKIJes2fPfs3fH3/8cSXD+ou/+IvTLuf2228HimDduQQ3fepTn1KeVh/+8IdZunTpOa/zzTffrOTPzc3N3HPPPQpQlIm+SApLA6nkdx2o6enp4Zvf/KYCHN1uN7fddhtOp1MxJwRMlOaN/pDmyemuaV/5yle48cYbFUNwaGiIz3zmM9x///3T7lmHDh3innvuYd++fYrpAsVmQm1tLatWrSIejzM4OMjQ0BAvvvgi3/ve96isrGTevHk4HA4GBgYYGhp6DbNNzPhnz55NU1MTy5cvp7W1laeeeoqtW7eyefPmGVmMUAQm58yZw5IlS7jyyitZvnz5a4A1HSwvBeV04E//WQoC6r/DqcmdvrxSsE//HWYO+Hi7SwBsHdjW7S30McmZGI6GYUxrHursZgEBxHqmFMSTKgUrZSyg/y4PCZvQ7+vy2pmATP1aVfod6FX6HZzN4uP1lg5SCqgmwKQKQTnZdCv9XR8fvZXXUWlGld4Lz+apLMeG3lyQbXS5XIrBXtrMmpiY4MiRI3R0dLB//37lH55IJBSgI8ekw+Egm80qG6LSc0P3zhZbEJfLRV1dnfKGFKDJ6/WSr6ogOOTCkRhkNJfFZyXwYilhsexRtwHmyXX2nMxycWpmjnkKxbgWdfiYODCwrBzpgsVwzsmYw+JCt4ULA+OkxDpfXJQC+6yTzxkOAxMbCmBjYmnsSBsHk8CxrJPuSYsqR4ZZzqLM2mY64GhQBFDcZjGwRgcVlcT75HN5u/ic8+RGF//uwOGATN4mW8hjOE38RoGQ28WwK4JV5qU861HWLEtnldNc4afW7cDO58DhZCCTIes0GXP4VXDXrFmzmD17NiMjIwwNDamGUC6XU9cFAZcnJiZUs6yhoUExAYVoUF9fTzgcVvMIkXmLHZQOlMt5UlFRQTgcprKyUp1XQjRIpVIKhCsUCoohKMuSsBxpyAlJQ8YWTqeT6upqWltblTJK1DSFQoFQKKSYkTKXKhQKapuy2Sz9/f0qUDSZTCqPyfHxcXV+yXtramqUAkVk1+l0GqfTSSgUUpYHYjki11+5H71dLMd3c50HHd/BdSYD//N1vs5UlmXR2dlJS0vL70WHxeFwMGfOHFavXs3Q0BA9PT10dHSoAdnExATt7e1UVlZSWVnJ008/rUJdurq6SKVSyjdEAK50Oq26euLrEQwGueGGG/B6vfzHf/wHhw4d4sSJEzz22GNMTk7yiU98Yhq4U1p+v59Vq1ZRXV1NRUWFmryK1FQGjwLCyYQxl8vR09NDeXk5ZWVlVFRUqN/FX01u6jLxAFSn+6GHHuKZZ55RN02/3093dzdDQ0NK5qBPAGaaYEgXXmceiOeYeAXpA06v14vP51OTaRkoBINBysrKCAaD6jX6BFEAGvGhkWWcjf11LpXP5+nu7uaRRx7h3/7t3xgcHMTj8bBo0SLF1mxububWW289p+XZts2TTz7J3XffTVdXFz6fj0suuYREeLAzAAAgAElEQVQvfOELVFZWctddd/Hzn/+cQqFAS0sLf/d3f0fz6ww5ENDpV7/6FT/60Y84dOgQqVSKUCjEsmXL+OhHP8qaNWsUi1aYBfX19Xzwgx/koosuUmE8Ai6+Hed8IpFg165dPPzww7zwwgt0d3cr3x7DMPD7/cyePZu1a9fyvve9j0suuYTq6mq6urrO2TPzP7MkvTGVSikvWBmsiu+qDIwloEMMyvXj/Vxk/yKR3rdvHwcOHFBhHFNTU2rACqfCNCKRCLNmzWLevHm0t7fT2tqq/F4FYHw769ChQwC0tbXN+Pf77rsPKLLs3vOe95x2OTt37gRQbOwzVSwW49lnnyWfz9PY2MgFF1ygWKSnKxnoP/300/zkJz/BsiwCgQDf//73eeWVV5QflEy0S0tnSnk8HvV9ZzIZfvjDH3LkyBGgOAH/7ne/qzxVz7ROOsAJp1ipOjhpmqZiJIpMHYp+lp/85Cf54Q9/yPDwMD/4wQ945ZVXeOmllxgcHFSp4rNmzaK9vR2n00kul+Piiy+mpqZGpZNPTEwwPDzM8PDwtHVzOBxKWims2KamJl544QVefPFFHnjgAYaHh1+zr2TyJ/6N69atIxQKqXtMMplky5YtZ2X4yXO/i7Isi2g0qkLddEBJHnJvLPXeFE9hXfpXCoLqCcECIJU2OIVVpoOAcu7KcyKbK2UqSunPi5Re1h2KgL5co6R5KaoE/XXnWm63+zVhI6Vg5kwMxdM9p4PApSzQUlD5TOxTech+nglsln3/eqt0vYUVaJomAwMDiiUl4543W7q0urROx46U+4QoRfR115seK1euZPXq1UxOTjI4OEhnZyfRaJSxsTE1JvJ6vWqMrIeRlAI7wnTU9/krr7yiVDASflZbW8vC9nZmVdfiCPowCzA2fIJgdghfofBaYK5AMSDGAb6T22HjwC7oIIV8j8WxZLrgYHQyz+jUEI1+Bx6/A9MBxslboX5HFNajhYELKGBgOGxMwFEw1WvywEimKKueF3JRYWTx2jZuo8i+NE+eArL+lqMISDr01TvJqHSd/DxOLtcu2OolAroaQNhtknd46Juy6ErD8azJpMeDv2k2y2YV7XHGx8aocU5S7SyQcQdJe8JYyXHq3JBzOIlP2UpBIU2CpqYmysrKVACKzD/Gx8enfV9yjbMsi7q6Ovx+v2rE9fX1UVlZSUtLCw6Hg+HhYaLRKLFYTBEOLMsimUyqe2sgECASiSj/08rKShXoODAwQDKZVHJvmWPE43GVJD1v3jwFsEuwC8DIyAjBYJC6ujqqqqoUu9Dn8ynpv8PhUPMISa8OhUIK9BweHiafz+Pz+SgrK1P2ADJ3kf1jmqYKphGvx97eXkXkkCT7EydO0N3dTTQaVQ0FCZqR5b8dfo7AWcdC79R6588E/gvXTGbd5+t8nUvlcjlisRiNjY2/N6lZHo+H1atX09vbSywWU4CHMNssy6KmpoYPf/jDVFRU8Pjjj7N7926OHDmi0ve8Xi9VVVUEg0F1Yzp8+DDl5eWsW7cOn89HZWUlH/nIR/D5fDz88MPs3buXgYEBnnrqKdLpNJ/4xCdYtmzZa4AFkcUlk0mGhoZIp9PU1tYyNTU1raso0j3pyB08eJBjx46pG2R1dbUCLXVWoYBzwpiQwWc6nea5556jr6+PXC7H008/rQYOApSUTqpkffVJkUyw5ScU5RDxeFxNzkqlgXpHUsAP8W+Uv8lgQhIX6+rqqK2tVbKFM6VXn0uJ1COVSnH48GGeeuopHnnkEXp7exUDtbq6mv7+fkKhEP/3//5ffD7f2RcMbN++ne985zscOXIEp9PJ2rVr+eu//mvq6+v5h3/4Bx566CFs22bp0qV89atfPWtCtO7zJD/7+/v58Y9/zNNPP01fXx+WZVFfX88f/uEf8vGPf5xkMsl3v/tdent71cBww4YNbNy48Zy3441WoVCgr6+P5557jkcffZTdu3erY1sYfjU1NbS1tbF+/Xouv/xyli9frtYrk8m8Y69Dks4oyY/iWyWJozJZFWZhVVWVagiIrcC5yKRHRkY4fvw4Bw8eZM+ePXR0dKiERwEwBACRgXxDQwPz58+nvb2dtrY2Zs+erZglv2sPNEm8BmaUN+fzefbu3QsUfRpPVw8//DDJZBLDMPjsZz971s/9+7//ewXUbdiwgfr6esWokMmwsKb1dPuJiQn+5E/+RAFAN910E9lslpGRkWnsJ52BqDdQdHaiy+XCNE2uv/56du7cqZi899xzDx/5yEdeA56c6Wcpo21qakptq1wvb7vtNr7zne/w0EMPKUnaiy++yKWXXkpTUxN79+5VadnCMvr85z/Pxz72MbZt28a9997L0NAQu3fvpry8nE2bNrFy5Uqi0SibN2/myJEjGEYxVbq5uZnW1lZsu+j99tvf/paf/exnRKPR14S+eDweqqurmTdvngpHK61SeflMkl8dfCpl2pUCVbqMtlSCq4NUuVxOffe6lFTkg7pncG9vL3V1dWqyq4d/6EChNMl0P9tSsE6/b+nrLUqF07FbdNadNIj0zxEWkg7M6j57pWBtMBhUDFqZzMu1q6KiAsuy8Pl8BAIBNR6YSVYtx6F+XwemAXk64/KtAvRKZdIyjtDZl6+nZgKEdeBXZ5mWAsalIGgp2zmbzXLo0CHVvJbSmwjyEIuYN8tyOh07ElDHru6DbVmWOv6l5HongTLZbFb5nw8PD6v7kYQmCgAqzWW5XgnTS947MDCgnrMsS91H+/v72bVrF69WBlheF2FuxEd52E+5wwdkgAJGwWLaFpXETmcoejueKgcUipDjpF1kLNb6oNzrpsFlETQLWJjYBaYJpi2K4CCAExsDFN/SoghS2kAOmMwVgc8WI0/AkcflOCWNNjkFXsrq5grgdZxaPW1Ni5+LA9MwcBgmRlGgTQ6bVA4sC1xOkwHDS2/BwbE87ExmiSfS5Aox6C36MZaXl+M2bKoMJ15nnv5UhmDQTaBmFpX5BP0jKXLpPLGpDGVlZTgcDsbHx5WPtoy/U6mUamwKeCzNBPn+ZJ4kKdWpVIpjx44xNjZGS0vLNG91OQcE3BMrBvG3DoVCKjRGzjVRici8QO7LwqQMBAIqdVvGW+Xl5eocHBkZUU0gt9tNKpXCNE0WLVqk/B/l3JflVlZWEg6HOX78uAIu29raaGtrU37YcpwPDw+TTCYpFArMmTOHOXPmKIBezhGn06nGgX19fSpUs7a2lsbGRtW8TqfTiun4dox9ZX+/2+o86Hi+ztf5eleUx+OhsbGRVatWceTIEbq7uxV1PxqN8sorr3DBBRcQDoe58sorKSsrU4lpuv+SdJ9aWlqwbZuOjg41cLvsssuUB9uHPvQhNbHYv38/g4ODbN68mXQ6zQ033MDFF1+swDnLshgdHWV8fJzDhw+za9cuuru7yeVytLS0MGfOHAUCCmNC5N7CohKvuP7+/mkTYvHX0SVTumQ5mUzS3d2tJuiDg4OUlZUpUEhAQBnEyyBc5NNiMC1MjFK5kwziDcOY1lUXz7OZTOFlIiUD70gkQiQSYWBggOPHjysQsrKykpqaGgWylpWVqW08U8kgWGSRiUSCPXv2sGfPHp555hl6enrUwGHJkiUcO3YMh8PBxz72MRYsWHBOx9uxY8f49re/rQCVZcuW8bnPfY729nbuuOMOHnnkEaDI2vra1742DQDUJ7P65La09u3bxw9/+EMVFuPz+Vi0aBGbNm3iqquu4qmnnmLz5s1MTEwQCARYu3Yt1157LfX19ee0DW+kbNtWARVPPfWUYg1Lgh8U2S+zZs1ixYoVXH311VxyySU0NTW94zuvco6Jafj4+LgCGbPZrJrg6Z5W5eXl07ySznRs5vN5+vr6OHLkCHv37mXfvn1qYCosRkBZQtTU1FBXV0dbWxvt7e0sXLhwGoPxnbA/v/SlL2FZxTTkmfwchUUHnDa9GYrp1gChUIg//MM/nPE1Yu2QTqe5//77yWQyRCIRlixZwu7du5W860xsrbvuukv5mV544YXcdNNN05jZOqh4LgzcW265hUceeUQFdX3pS1/iox/9KPD6fZMFJNMfOhg5NTXFf//v/51rr72W//f//h8vvfQS8Xic48ePs3nzZqDIJg2FQlxyySV8+9vfBor+rQsXLuRrX/sa9913H5s3b2ZoaIg777yTJUuW8Kd/+qds2rRJrUdvby+/+tWv+MUvfkF3d7cCOKUkZG3hwoW85z3v4cILLwROyXJ1kGgmEKkURJR7Vi6XU0CxAMfCGhHwf3JyUgUxyUOXvwvrUPbb6Zrz0iSTKhQKJBIJenp6pq23fn/U3yvrrrNy5Px3OByv8WcVoEaahNXV1dOOMdlfsh/k/lUq7xdwSQfDSsFBQDHt9GuFrJvIXAWEkGuWMG50Rq8OsJ8LyFcKQpYyDE/3nC65PlcV10yg5Ol8HfXvTrbt9TKMZlp/HdhLJpOq4STAtS4xnalcLhd+v18x4Uvl3G+miaSDg7L+uj2EnCvSYNPPczl+a2pqVNNGZKk601GaIy6Xi8rKSuUfHQqFFHtWVDUnTpxgbGyMo0ePFn3VxzPkC6MMJ7x4nWPsdps0+120hwzKXFDmmM5IBF4DPgojUsqg6KFoYhNxO7AdBfyYoPkmFhdSFEFnbXBr2PjJ0S3WybCaApDHZBw/AVeOUCFD4OTHW4UiCCmfbxSKrEVZjosiKKmvLwAWFEyYwsRlGDixMI2iw6TD4cbhcjM6OUXO4afHV8ORYDnxyUmCjIIrqcImBwcHiUajVJRHyPogkc5QSE7ROxanqbKMTNiHJxAiOxInnSk24UZGRpRHYSAQoLGxkcbGRgqFAgMDA3R0dJBMJhXb0efzYZrmtOuRaZpUV1crAHtkZEQ1w/1+vwK1xaJDjm9R7YgUWyT7AlDKXEMaQk6nUzVxRf4s55g0rIeHh1UYXllZmbqeCqtT1i0SiZDJZNT5JD6TMu8SFm95eTkXX3wxixYtwu/3s2/fPkZGRgAUuChsd90ORa4HVVVVtLW1sWrVKmVDkMlkCIVCLF68mHA4rHwjhWkuCi/DMIjH40xOTqpt+q9W50HH83W+zte7osQ4ePbs2TQ2NioWw+joKKlUigceeIBkMsnq1aspKyujubmZUCikbniS7CkSKfEnHBwcpKenRw3S1q9fr26EH/jAB/B6vTz44IPs2rWLkZERtm/frnzeLr/8chwOh0oWPHDggJJkSxJcMBikqqqKuXPn0traisvl4tixYxw4cICenh5GR0dVQIQ++Uin05imqRg6cGqyIPtDBvPSPZSBtsfjUT6LApiIZEGkMjpzQQbupdKmeDyuAEwZWAvwqIcs6NJsWTfTNNUgIhaLKRBVGJ0iT5XJUWVlpQIeBegR9pFhGMqDSGQi0qEdHh6ms7NThU709vaSy+VobGzk0ksv5dixY9i2zapVq7jhhhvO6VgbHh7mW9/6lvJOXLhwITfffDMrV67k9ttv5z/+4z8AuOiii/ibv/kbta8ERDgdKKL7ST3zzDN8//vf5+DBg6RSKaqqqnjPe97DJz7xCYLBIP/4j/9IZ2cnlmUxe/ZsrrvuOlavXv22pdbZdjG8ZMeOHTz99NNs27aNzs5ONQA2DINwOExzczMXXXQRH/jAB7jwwgtfd8r677Isq2h6L56MwmQURpSADkWj9qIsSFI9A4HAWUGlTCZDd3c3+/fv55VXXuHw4cPEYrFpCfWAsh2oqqqitbWV9vZ2Fi1axLx5894Stu/bVZOTk2zbtg3gtEFa3/rWt9S19eabbz7tsvbv349t2yxZskQNyoWVpjcQAP7t3/6N0dFRoAj2NzY2cuzYMQXKiHxQQETxgn3llVeUPDkcDvPiiy++qe3/xje+wfe+9z0ymQymafK5z32Oz3/+8294eSJ71RkK+rVVD61paWmhu7tbBfRI+f1+7r//ftrb26ddb+Xxp3/6p2zcuJHvfe97vPrqqzz11FP8+te/VvcD8QrVS/xIFyxYwCWXXMKmTZumLVMHRgQUlARdke/F43EVsCSWBPIdp9PpafcKPdH7jcirS7cbmAb8CdssHA4r4M+2bWKxGA0NDWoC7Pf7CQQCihUk4J0cY2INIqCpLoUWkE4+X+RuOptVGjUyVtGThmX9dVBWGntyXEjjrpSJK2CnsAJLvQnPBtS9GaBLl4a/nipl/p5OSq1LqnXg72x1pu0+nXS5tHTAcqbKZDIMDw/T3t6uzmF9XKT/FMAul8sxPj7O+Pi4sm3QrwEyJohEIm/ahkSkovoYQW906NYSApIahqHYuZIunMlkVFiMbRdThOWclvNavPjk/KqoqKC2than08mNN97I2NgY+/btIxqN0neil+xkismJHIfTFikL2nwOfEHwmDOxZR24C6dYhYbGJjQAL+A6mQqTyYFhnvp7EbQ89f25jVMsRYtiWE3eAtOyT7o/mkxZFsl8ErcbPCeXZVAimz5ZJkXQ02GUJGwXpgfYxHMQs2wwHVimk1kOCz85DMvC4bDxmSYZt5+s4cTh9VFz0ttdmi8yXslmsyRTk5woGPhCPmaFDGpyU0zGh9k5bDLiLiMQCpHN54nFYkqdImB0JBKhvb2d5uZmXC4XNTU1GIZBIpGgo6NDeanLXMnn8ylFgpAehMGaTCZpbGykurparaf8zOfzBIPBaWMur9er7Jm8Xi9+v1+xrwWIE+sYl8tFV1eXUlaEw2EcDgepVIrh4WGGhoaUQk1k4LK/otGoAjmFxSkNY4fDQWdnJ4ODg2oOWVFRQTweV6QMsRYYGhoimUwqhnIsFlPNYgFj9fFaNptlYmIC0zRVowmK4z3x4pbrbTgcxjRNRQ45l2va72OdBx3P1/k6X++akq6+0+mksbERv9/P8ePHsSyLHTt24Pf7SSaTrFq1ipdffpkDBw6o7rLb7VYDLZHitrS0UFNTQywWY2BggC1btijG46xZs/D5fFx55ZXqJrNr1y7GxsZ45ZVXmJqaYnR0lNWrV6sBVkdHBwMDA6TTaeVt2NzcTHt7O0uWLFHSruXLl3PFFVdw7NgxDh48SHd3t6L6x+Nx5QGpT1QANWDUJ4OmaRIKhaYl5VZVVVFRUcHcuXMJBoPTboA6ECKDUxnY65KqyclJjh07Rl1dnfq3DDD0AbXOBpDBhC5Zk4dMQOPxONFodJp8R7wry8vL1UMCdvQJoEwWk8kk4+Pj5PN5hoeHicVibNmyhZ6eHiYnJ6moqOCSSy5RHn0VFRV85jOfOafJUjqd5u677+aZZ55Rg6wbb7yRdevW8fWvf51HH30Uy7JYu3Ytf/EXf6E8FvXSpej6T2Hm3nvvvdxzzz0cO3YMy7Jobm7m/e9/P3/0R3/EsWPHuP/++4nH4/j9fi6++GL++I//mMrKyrfkHCot27aJRqNs375dBSB1d3eTSCTUMVFTU0N7ezvr1q3j/e9/P8uXL3/H+jTm83kFhkiyoDCn8vk8Xq+XQCBAdXW1si8Ih8OEQqGzblM6naarq4u9e/eyc+dOFfgi+0rOLa/XS3V1tUrvXbx4MQsXLqShoQGfz/emGS6/i7JtWzGvDcNg7dq1M77uySefxLZtZVsxMTGhzvXJyUkymQyPP/64Sra88sor2bVr12k/1zAMnnjiCWzbJhQKccMNN7BgwQIMw+DCCy9Uk/PS/ZdIJPjyl7+sZFZ/+Zd/+aa2/yc/+Qlf+cpXFDh900038dWvfvVNLXOmMgxjmnzyRz/6EU8++aQKFPJ6vWqbqqqqqKys5JZbbuGhhx6iubmZXbt2cejQIcX+HxsbIxaLKbuAsbExCoWCUgZUVFSoe1NjYyMLFy5kzZo15PN5RkdHicVifPWrX1WMJ3kIQKxLVd+oL+NMIJkOqklzyuv1Tpuw6g+5LwgDWSaBul2IMLyEQXv8+HHmzJmjJMgCKLpcLjXRFIBK7q86A1ACN2SbdRacgIuyDtIUtCxrWjNQn4jKZ8k2ut1utc2yLvq942xg4ju5BNA71zodGFn6Uxqn8r2fjnGog8lyvr0V12AB+fx+/2v+JuMeaXQJczWZTJJIJNQx4fF4mJiYoKKi4k2vT2nN1OiQ/aQDpQJ6y2vD4fC0Rq+EoolMVgBIsfiRn+JrFw6H+YM/+AMmJydxOBzFZOR4nMJgN/6hLtJTI1ikOAUQ6uheMTwmRzE2xhIW40kpNA4TBzZGwcZlTHvba7f/5OINIEvRC3KKAh676KroM4tAY73bAttmMgcOE5zTDlWJjjnpxWhMZ19KyXNTQBQ3/Tknh5MF/C6Ddk+ehR6bvBMmLJu07cS2imPlxPg49slrjcj83S4nleEQE5OTZHMuxkyDqOHADAbJZ9JEU6McH0vSmZhQXvY+n4+RkRF13xWwe3x8nH379lFfX09ZWZmyWkgmk/T39yvPVxlny3VHrn+maTI0NIRlWRw5coQ5c+ZQVVVFVVUVmUxGWV0JkCgMv0AgQDgcpqGhgfLycnWNCgQCSlEj7MhgMEhlZaUC5RKJBHV1dcq6aWxsTAHdElooCqnx8XGy2awCTlOpFKOjo5SVlTE0NMTQ0BBjY2P4fD7mzZunfB514C+bzao5RWVlJdXV1YopLiE90sjy+/2KMJJIJJTHscPhUGNM8ZyUc1r3dQb+S7Ic4Tzo+I6ud/og4ny9c0uXOP0+lT4BcDqdXHTRRWzZsoXx8XGi0Sj9/f1s2bKFrq4uXnjhBfr7+/F4POomKZ25kZERYrEYuVyOOXPmUF9fTywWY2hoiC1btpDL5Vi3bh1z5szB6/Wyfv16/H4/DzzwADt27CAWi7F3715isRgvvfSSuvHFYjHV8auurqatrY1FixaxaNGiaYww0zQpLy9nzZo1rFq1SrEBe3t76evrIxqNqqRBPS1XZxPKPpAJizCpysvLqa+vV91DOQ4KhYIaVIj5PKAYQxKcIJO1qakpduzYQXNzM8lkkrGxMQXg6N1y6aSL3DuVSimPRZF/675rMtDVfYcGBwdVaIb4pchNXzqLMlkQjyq3283AwAD9/f1s375dsUXLyspYvXo1Cxcu5Je//CUOh4Prr79+xtTd0rJtm3//93/nwQcfZHh4mPLycq655houvfRSvvGNb/D4449j2zarV6/m//yf/zMju+ZMrIpkMsk//MM/8POf/1x1o5csWcKmTZtYsmQJTzzxBHv27ME0TZqbm/nQhz7E2rVr3xaAz7Isenp62LZtG5s3b+bVV19VoK1ISRsbG1m0aBFXXHEFV199NXPnzn1dE7XfxXXItm3FPBZ5TCKRIJVKKaPwQCBAVVUVoVBIsWiFAXymymQydHZ2sn//fnbs2MGhQ4fU8nW/VJGjNjU1sWjRIpYuXcrChQtVl//deB1OpVJs2bKFdDqNYRjccMMN6hokgOL4+DhHjx5V0qvNmzfPKJ184IEHgCJLb+XKldOkznqiptfr5de//rViD/zBH/wBN910E7lcjrGxMSKRyGmZvt/5znfYs2cPUAxZ+tKXvvSGt/3555/n05/+tDKV37BhA9///vff8PLOpbZt28Z9991HR0cHO3bsYHJyErfbTTgc5oorruC6667jc5/7HFCcIG3cuFG9V9juArhIWJllWXi9XgWKCdtPwiOi0SjRaJRnnnnmda2rLs8tBc2EdRoOhwkGg2riGQqFqKqqUuz/YDCIz+ebZrSvS8511rgO7Ml26vcdOdeldH9GQMmahaGoMwd18LP02ibnrbDuMpmMskLRg2V0JYIu35f9IyEk8tkCLOqfqfspymOmdXo9pYPBM/2uP6f7NQqgLOCt7v88k2dp6e+6NUvp55xu/U6372fafh281D0+dQn3TNuhM0sBBXCXeriW+o7qDd7Xcz9zOBxKhiznqIB1ApjmcjmGhobUMRIKhd521rsc7/r9r1SWncvl1HEYDAbVmDCTyeDz+RSLTBrQ8vdYLKbOx9HRUWpqahSoVefME3BX4yo3IVGOc6gDcuIF69BAw+IvlgWOk0xIGweFQpGpGDMMqh3gORkGMw1snGHX2epPDgreMEGjgMvOQy5/0msRjEIx+Tpvg2kKL1LKUksoAA4Hr/3ck2UABQumDA8hj0mLP0IhnaTOXcBpWmSsAh4jz1Q+T4Xpxg57STsqmLQN0pkM1VVVlOWTGPEY2XSS5JSTgXSBI6MpupJ5+jNQX9OAq2oe3u4eqmIxJicnSSQSNDY2MmfOHEZHR+nt7VXjH7GtSCQSNDQ0UFNTo+TykmSey+UoKyujurqaQqGgPBcty2Lx4sUMDw9z6NAh5dmZzWaZPXs2kUiEhoYGNdZPJpPKOkkUEIZhUFdXRzAYVGMIOdbl8ycnJ1UYoaiphoeHqauro7GxkXA4TCwWU37+0tyRVGlRQ1VWVqrmj8zxZN5SU1PD7NmzlTe+fI5cj4UI0dzcTEtLiwq6TKVS2LZNeXk58+fPn7YuiUQCr9erJOwydk4kEmq8ooP6+XxeMYLfTL0bx5RwHnR8R9fbJaM7X7//5XK5WL169bv2wnSmEtZAMpmkqamJtrY2du3aRSqVIpfLMTIywu7duzl69CjJZJLKykrmzZvH2rVrqa2tZevWrezZs4f+/n5GR0fVoLSxsbGYFDc+zm9/+1symQyXXXYZra2tuN1uLr74YjUx3rp1K729vYyNjdHV1UV1dTVVVVVqotXU1MTixYtZunQpc+fOPeMg0jRNBYLMmzdPTerHx8cZGRlRYJqwtaamppRkXCZ75eXltLW1UV5eztjYmJLGwCk/kYqKCsWmEYDP5/PNuG7yGfPnz2dqagrDMKioqKChoUFJMSTYQgcQxaNLGDbyEAansCR17yABucR3JZFIMDAwMM2wWQJadGaDdA57enrU/gqHwyxevJhrrrmGhx56iEKhwLJly7j++utPu//FHzOXy/HMM89w991309vbi8/nY926dWzatIlf/epX/OY3vwGKkuq/+7u/w+/3vy7GWq9JYEMAACAASURBVDQa5bbbbuOJJ55gcHAQv9/P2rVrueGGG3C5XNx///0MDg4SCARYvnw5119/PbNmzTqnZb+eKhQKdHV1sWXLFrZs2cKuXbvo6+sjmUwWO+xuN7W1tSxbtowrrriCjRs3nhNgO1O9Xdch8WcbHx+fZvI9OTmptiEQCFBbW6tS4KXDf6Z1EWnS/v37eemll9i7d68C//X0ar/fT319PXPnzmXJkiUsX76c+fPnK7bUO53FOFPpLOVsNktvby/f+973lFF8IBBg69at02TjBw4cIJVKYRgGl19+uWJG6Ew1v99Pf38/pmny3ve+l/Xr159x/3z5y18ml8sRDAb53//7fwNnP45efvllvvvd7yqD+W9+85tveD8cPnyYj3/848rWYsmSJTz22GNveHlnq+HhYe68804OHDjASy+9RDQaVenoEhQTCAQYGhriE5/4BHfeeSeJRGKaZ57OrJbGUkVFhVIGQBFEjkajSvomQWdVVVUKMJTvWZpYgUBAnTcC2ldUVFBRUaGAYmkGvRGgRBiI4uelPy+NNvFaFbaYMOtLQ0GAaSConOt6WEtzc7NifAkYKACM+NjppTeQRNkgrFP9OBcAR78vijeYLF+fdIoMXQfEgBmlxXBK4aAHoOiBcgJe6YnG+v4p9SnUwbiZwMaZwEi9ZFukSiX4+u8zgYcz+UDry5npob9P9wudaR10cFFAydLt19+jy7BlXCXHkRw/8j06HA6ef/55xQgsBZj1h7BQdQavAH06ACkepx0dHWq95L2lHpAz/V66vTOBpTNZJZzuWJfvWMAoYXqJD6Tuy2fbtgqgyeVyRCIRkskkAwMD5PN5enp6ih7eoSCeZBRXbpyCvwzXrLlMVczCv/fXp1iDDu2XQlE2nbMtLNvGYRSwbIhl4fgUVJWdSpOeVjN4LMoRnAMchSwOChhYOAyLjO0gbzpxmuC1c/gdBiZZKDi0d5+Kj5nMg9d2FBOtHbwGeLQAywAzO4XHH6KeDMGAQZkNWcvEcjhx2TazvQbkJikkoqyo8pD0hBkPh8hlM9S68lTVhslPOZmYnKJmyiIUCnMsXhw798dGKCsro7W1lcrKSnp6ehgbG+P48eMqpFF85OV7SqVSOBwO4vG4ahLOmjUL27ZVI3VyclI19+QccbvdTE1NMWvWLOrq6jh+/DhDQ0OkUin6+vpoamoinU4roDISiSjbo8rKSrLZLAMDA+RyOS6++GLl/S3nlcvlUiChNG3a29vZt28f/f396hiUe47X61WhmaKeAJQUPZFIqHuYYRR95/fs2YPH46GiooK6ujrS6bQCw4eGhhQb1zAMysrKmDdvHhUVFep+IPsmEonQ3NxMTU0Nu3fvVmBuWVkZLS0txe//pCpM5hQCwubzxSRySbV+syEw71Z86DzoeL7O1+9p/T4CjoBivUln9corr+To0aPKzDcWi9HV1cXo6CiWZSnq+1VXXUV9fT0tLS08+OCD7Ny5k66uLkZGRlR3t6WlhYmJCSYmJnjppZcUm2HRokU4nU5WrFgBoHys+vr6lJQzHo8zd+5cFi1axNq1a1mxYgVVVVWve/ucTqfqjksams4w0AfMuhdjPB5nYGBgmieUTF7lhirMkpmSEHUpkACc4qGms1bERF2qtGOuL0+MnAVAHRgYYGRkZBoQKQCk/BQ2pGVZCgSWibhMAgTkHB4eVgyempoaWltb+eM//mMOHjzI0NAQ4XCYT33qU9Nu0KWyIpmw9vT0cPfdd9PR0YHb7Vby6Y6ODn71q1/hcDhYsWIFX/va12aUUp2pDh06xB133MFzzz3H6OgokUiEyy67jOuvv56uri62bt2qOqBXXnklGzZseMsHFfl8ns7OTjZv3syOHTvYvXs3vb29CqyXdMvly5dz5ZVXsnHjRurq6t40gPZWXYckPTMejzMyMqIAaunm6wnTApCIp9uZSjr4O3bs4NVXX6W3t5fx8fFpnlc+n08FvixevJjly5crmc67CWQUoEJACwkLKE39lcaFMAcrKytJJpNqsiASKpFBe71e/uqv/kpNrvXv/Cc/+Ykyjb/11lvPuK+ef/555cG6dOlSrr76avW3Mx1HX/rSl4jFYpimycUXX8x11133hvZPIpHgQx/6kPJRbGlpYffu3W9oWTOVsHJ7e3s5ceIE27dv55e//CVdXV3EYjH1OsMoJkyHw2HuuuuuactoaWmhr6+P/v5+9Vw4HKapqYlAIIDH41ESZGEUio9VWVmZ8h8VFuTFF1/MjTfeSFNT0+/EV1QYX3oDDVDXfF0eLfe7sbExEomEeq/OVJP0ZpEFynvkGJXjMZFITAtOKd1WOS/gFJNTJpDDw8MUCgUmJiamgaHCuNRBP3mIr6ssUwdHdfm33M9178LSEDcpPS16JjDwzVbpuVkK4unPz+QnCq8FFHXA63Sv1/+mP6ezQPV10JchfzvTo/QzBFzTGZIitS9dZx1M1MNfSrdJGO06GCjsSd2XU37qj7q6OiWLleaWHAulQPhMJePAUjbmTM/NtM9O915p8FdUVChrHvEel3XXGZwCcnu9XhYsWKDAqVQqxeT4GGWOSSbSY1ieCN7JSdzhCixPCEcmMW17bCDvcGA7XOQLWcyCRe7k4W4a4DKZLqueqTQwsJhYDVmHyZhlAm4qSROkgNuwcNh5TNvCwMaFhYkJDqsYYlM4dTxbFEjkbZxmAQfgKDimyaxtin6Phg0NrgJmboyc4cQywMaiYBsE8hlsw8CBRdYu4MyPUehOkXGFKXiCeOw8mXyGw4YbV3k1IZ+LRjOF6fOSCVQQPxncJmOU+vp6qqurlW/h4OAg6XSahoYGgsGgGluXlZUphq1YN4hHYV1dnQqtEVBS5g2iOkilUrjdbioqKhSoJmnuopzSr2HSeJGxw9DQEAMDAyxYsIDq6mo1l9DBe8MwKC8vp7q6Gq/XS0dHByMjI+rYKysrw+/3qzmF2+2mrKyMmpoa1fyU81OOYbE1ELn/woULFavS5/NRWVmpxj4AwWCQ2tpada8WJqU0Quvq6nA6nYpcIfYZra2tQPE+0tXVpUgWcl2YmppS9+f/ynUedDxf5+t8vatK2Bj5fJ7x8XGuu+467rnnHiYmJujq6qKhoUHR72USUl1dTSaTwePxcMEFFygAzePxcPz4ccbHx9WkYN68eepm9fLLL6vJxbJly0in0zgcDpYuXUpHR4cyORYGhs/nY2JigtmzZ79lHnxnkvOIp+HIyIi6aQoI6Pf71eBS2Imly5EBowCNkiwqQEskElFG06/3ZikDb+kwtrS0YFmW8nUcHh5WgyTxXZEbtUxKhQUpE7t0Oo3T6VQAqUwe6+rqaGhoYMOGDbS1tfGDH/wA0zRZv349zc3NTExMqO9xJqnX1NQU9957rwq7WLx4Mbfeeisej4e77rqLTCbDnDlz+PKXv/y6AcedO3dyxx13sHXrVhKJBLW1tWzYsIErr7ySLVu2cPjwYXw+H+3t7XzkIx8553Ttcy1hNj7//POKvdfX16cGreI/uHTpUq666iquueaatwRsfCtqampKeflIYJTI+yWcpbq6msrKSiKRiBqUngmgyuVyHDt2jJ07d6qwHDEMl2NDDM/nzp3LsmXLWLlyJW1tbe8qkNGyrGlWBnoicKlMVUomoYVCAb/fTyKRwDAM1q9fz8qVK9XkWWwuOjo6cDgctLS0KLZLaf3gBz/Atm0qKipYs2bNGdf5i1/8IplMBrfbzac//elz2s6vfvWrvPDCC8pL6Wc/+9m576SSuuaaazh8+DAAs2bN4vjx4+f8XmF0dHV1ceLECQYHB9WxK/IuuS/Zts3w8DDRaJTx8XF13DkcDsrLy6ddA8TnT5cqr1+/nmQyyWOPPabA4LGxMdasWcOtt95Kc3PzGdd1eHiY22+/nSNHjvDyyy9z/PhxPvOZz6im2ttRIqETj0VhS4lPomEY6pgUGxGRtckxId5yeiq0sO5GRkamNdx01l4ulyMej08DBXXGpM7wlfcJYJjP5xWgojMH4bW+gzprUC9Zj5muGzMx/fSGkw6Y6UCpvEYPt5H9qINQOhtfZ9/pIJ68t/QzdXBKXz99vUsl1Ocq4xYGov77TAzK0mXp13b9/fr6lbIXdaaisNV1YEJnQ5YeB6XbqjNndXBajgM9yVr3cNO9tPWH7usoNgTSNJBmrs5u1Y9BPdlcB091Nmup9Fz/jk8HTM60f/S/SdNfGsTC5gRUMvLExAThcFidp0bAz/jACF6rQDbWT9IbotbMkPZX4DNsHFOTgIWNg1S4hmSkEXcihpti49+aSmHlsqScJoFCdiYV9aljTLaRUxzFKRteSZp05h1MOlxcG0wTNCycNrgonHydDYabjOnAU5jCxFaMyUIBsrYDvxMKVoGMYeN1FE66PU5fG68JTtvCNCBr58jZJobTwIOF07LJ2mBiYBqQswyGLQfxXIb6XIqQ08DEIm95iPenGHR4aHHbZMnjdEYUm1CUHqlUivr6ehYsWEBNTQ0DAwMq6KepqYmqqir1OvFCzGazRKNRdSyVlZXR0NCAx+NRHpAyvi4rK1P3LTlPxL9wYGBgWsiKNFJ0BnZ/fz+RSEQx/WQMLMzFQCCAw1EM+BTALxKJ4HA4CAaDStUm52UoFKKhoQFAhcGEQiEuuOACvF4vg4ODdHZ2Eg6HMQyDo0ePKp/GlStXUl9fTzQaxTRNBgYGFMAvye7l5eXKu1QYm6OjoxQKBSKRiNqWeDxOLBbD4XAQiUSUdUlvby8DAwMMDw/T0NBALBabJt0Gzmrr8/tc50HHd3C9HZ3M8/VfoyzLorOzk5aWlt87xqPcqAQsmzdvHnPnzmXPnj10dnbi9/vVIMvpdBIOh+nr6+PVV1/FMAxaW1tpa2vjxhtvVOERR48eVXKnXC5Ha2srDoeD8fFxdu3aRTabZWRkhEgkwuHDhxkYGKC5uVnJCkR+kkgk2LlzJ263myuuuIILL7zwbbnB2LatAlnEc01Pc5UJhM/nUylwesk6C9A4E6vR5/MxODhIQ0PDW3YMmaapJDoNDQ3K9HloaIjh4WE6OjqUN+fExITyhRSQUZgAAjiZpkljYyPt7e2sWrWKdevWccsttzA+Pk51dTUbN25kbGxs2jrIvhIWgtPp5Pvf/z7PPfccU1NTNDY28r/+1/+itbWVT37yk0xMTFBeXs5XvvKV1230vm3bNu644w62b99ONpulqamJD3zgA1xwwQX88pe/JB6PU15ezkUXXcT1119PIBB4S/YzoMIjnn76aXbu3MnBgwfp7e1VKdtOp5O6ujqWLFnC1VdfzcaNG6mvr39LAbU3ch2ampoiHo8zODioZNNynknSuaSdRyKRs7IZbdtmbGyMPXv28OKLL/Lqq6+qhETpyov9QFNTE0uWLGHVqlUsWbJEBRm900FG3d9OAEbxUpWJobCrdJmg+OnJJNfn8zE1NQXAt7/9bcXgufPOO19zHcvlcoqdd+mll5523Q4cOADAihUrzvg9xWIx9uzZo2wdrrrqqmnbN9Nx9PLLL/PQQw8xMTGB0+nk+uuvp7a29vXvQOCWW25h27Ztyrtp586dwHR2YldXF319fep6FY/H1SRNJnTnUjIp0eVhdXV13HjjjSxevFj5WAl78XT1zW9+k3/5l3/hX//1XxkdHWXz5s28+OKLrF+/ni9+8YtEIpEZ31dVVcXtt9/OL37xC+6//37Gxsb4+te/zhVXXMH/+B//43XstTOXXN91uw9ASbxlMiYTUp3VJU1FUSzIc3qwmg4uCnPydGVZlmKZlwJm+vpKCWAncnV5rpRxNxMzTPdjlMabAH66768AVzr7Uv6t/5Rlyjrp4TFyby+VzpaCg6V1uudnAhF1AO50gFapv2OphHsmn8hSRmspiFsKsslDZwPq7M/S71sHNnVAWFhZpcCnSDJ12bJ4dsr6xmIxamtrp4FxuketfGemaarjVZiAOnAoCdfCxJJrs8i6pdlQVlamggIFiNTl1fqxrH9nZ9qvM31/+nt00FVX2swERBqGoZpZso8SiSJzUax9PB4PIyMj4AoyPJkhOD6CJzFK3s6QdJokq1px+4J4Mgmcpkm2rpURZwh/IoZ7PIZ7agJnIEI+m4VMnpqpYQwyM3oqQjE8plAAy1H0V8SANC563ZV0GF5yU5MUsllw2kWA0nEqrdqNRcJ2Yzo8uAsZwKZgOpl0eojnC1QZWZyAbUPeBpdhYRedHk+eWMV0bBsLbMhbJvGCRY0NfrO4ypbDQSqbx+MwMRwmDqcHj20QstL48gVMw6TKLm6Ap5BjPAeTHhfJfEaRCLLZLC6Xi/HxcQYHBwkGg9TX11NZWam+k97eXsVkdDqdTExMqO/GNE2Gh4enfe91dXUqjDKdTk8L4RRGXyAQUGqjOXPm0NPTo9KuTdNUYxCROkvquVyzRBUmtjfic2uaJpZlMTg4qPzopaEm7EYoNvckiCaRSKigtI6ODlauXKmaWLLeHR0dOJ1O2trayGQyjIyMqOv51NQUg4ODSokl12axL4lGo3R1ddHf3z8thHBoaIh0Oq3GP+FwWClkBPQUaygZZ8m+LE2Xf6NlWda7cm5/HnR8B9fpUtjO1/k6W8mEsLGx8feOzh0MBgmHw5imqeS5l112GYcPHyYej7Nr1y7F4Jo1axaVlZWkUil27NihpB5Lly6loaGBj33sY4RCIZ588kkOHTqk/AQty6K1tZWqqipGRkbYtWsXXV1dRCIRJUksFArMnz+fmpoaBY6Iz8kzzzxDb28vx44d473vfS/z589/y24Qk5OT9PX1qcGDGH3LIBSYlkanl2VZKvlZQIlSVqMwSeQG3dTU9LYdQ4ZhKPnf3LlzWbVqFbFYjL6+Po4fP87AwACDg4PE4/FpITpiZj537lwWLFigOrqPPPKISsb94Ac/qAY1emplqW/R5s2b+fGPf0wsFqOiooKPfvSjXH755Xz2s58lGo3i8/n4whe+cFb2UGlt3ryZ22+/nVdffZVsNktzczMf+chH8Pv9PPjgg+TzeRoaGvjwhz/MJZdc8pbt03w+z4kTJ3jyySd55ZVX6OjoUKm22WwWh8NBVVUVCxYsYMOGDVx77bU0Nja+LcDauV6HpqamGBkZYWhoSJ1LIgXy+/0qIEkGqjMB6XpZlkV3dzevvvoqW7du5fDhw8ROGq7L5CkYDFJTU8OSJUtYuXIlK1eupLa2Vg2A36klAKMwGPVzWWcGwyn/W5GZiqRJZH7yvHz3OpD4xBNPAMXrbTwep66ubtp6/PznP1fXjz/7sz+bcV3/6Z/+aVr685nqU5/6lGKS33rrrWpioK9X6XH0rW99i/3792MYBvX19fzoRz96nXuzODH+27/9W+6++24FjK1fv54vfOELxONxBXqfC6AowEUwGFShRZFIRCV9RiIRHn/8cZ599lnS6bQCfT/1qU/xla985XWvO8BNN93ETTfdxHe/+11+/OMfMzExwW9+8xueffbZs4KPGzZsoKGhgZ/+9KcMDAyoIKvbbrvtdTO6ZyoJeCotAUf0MDEdAIJTrE8d+NEZhvqydJbc6Vh5+Xye7u5u2tra1ASwFAgUgE9vSEmTqhQo1EGfUjnw+TpzlQKUZ/pd/ynsqVIATX9OT2YWdqoeKlS6PP3YkdfoYKgulxYQUf9MObYmJyenAZASFBQIBBR7SliRusWLLE+UHQJQCvBx4sSJacCzyJp1Obeeci7PlQbbCfh9unAinW1aul/1fTbTQ0B1uVYahsHExIQCgBwOBz6fj9FslqTtJWza2Okk1RTwWhkG8mGClk15eBZV+QkyBbAraxnLFXBkC5TlsnhyOdLhWtKmh+qBSYxspojzlWa+UAQcAazCScmzaWKZHlrLqwjiZXwqhzM1ik0WC3BoPpAOO0+YKbBtiv8ZTHnKmayZQyA1BqP92FYGR+Hk8YSJxal8a5OiFyWWSf7k6nk5ZTFpA65CHtMEBzYeu4DLtKh3u4gYXpK2i0TBoNzM0orFuO2k0yxj0vATCRR92XO5nPImFLXQ6OgoXV1dlJeXK2BwdHRUWRxJgIzX61XejdJkTCaTuN1uxsbGVPhdKpWiUCgo0E8CLQuFgmInim/w2NiYam7KsSXyaxnPOZ1OdXzLGCOTyagmkJxHMr/y+XwKABfwfWxsTDHBZRvT6TSdnZ1MTEyQz+cJhUIKrJR5UigUYsmSJQwNDRGLxZRv+fHjx+no6ODEiRNMTExQVVVFNpvlxIkTuN1uotGoAiWFdTkwMMCJEycYGxsjHo8DxTHSiRMnGBgYUNcAIW7U1dVN84d8K+6rUBwTvRvn9udBx/N1vs7Xu6qEoeV2u0kkEvT19XHhhRfy6KOPcvDgQeLxOKZpUlVVxZo1a6irq2NsbIxkMsnu3bsVY27lypVUVlZy7bXXEgwGefTRRzlw4IDq/lmWxdy5cwmHw/T09NDV1YVlWWoiKeDHunXrCAQC7Nq1i/3799Pf38/Y2Bj79+8nFovR2dnJhRdeyLJly5g9e/YbBjRyudy08BthDcpgFlBMxVJGkQ42SudRpBOBQEDdIP+zwRaRStfV1bF8+XLi8Tj9/f309PSoAY8wGyQptbq6mmAwSD6f52c/+xmWZdHW1sYNN9yAz+c740Swp6eHu+66i46ODjweD5deeikf//jHueOOOzh06BBOp5NPfvKTrF279py3wbZtnn32WW677Tb27NmjAOzrrruO8fFxduzYgWmaLFq0iJtuuonGxsY3vd/gFNj43HPPsX37dvr6+ujp6WFkZER1iSORCHPnzuV973sf1113HfPmzftPmSiLZHJ0dJRoNMrIyIiS8IhNgUhw5HwTu4DTVT6f5+jRo7z44ots27aNjo4OxsbGVPPO5XJRVVVFS0sLK1asYM2aNbS3tyuQ/Z1YwryWgbjIdIXVJVJdOBWiIRPScDisPFzFHuFsnn0CEA0ODjI8PAwUWXF///d/z+WXX84f/dEfqdfed999QLHLv3Tp0hmXd99992FZFlVVVbz3ve8942c/9dRT2LZNU1MTH/zgB8+6b55//nm2b9+u/CJvvvnmGV+XyWTo6+vj6NGjdHd3K5ah+MUePnyYzs5OBThWV1cruwe9ZPKlJzFXVFRQU1OjvIJnz559WmZ7T08PX/va13jssccYGBhQtgbf/OY3p+3XN1p//ud/zp//+Z9z++23K/bnb37zG1544QX+6q/+ik2bNr3mPel0mqamJj772c/yN3/zNySTSaLRKMPDwzQ1Nb3pdRJmiIAzUtJIkCq9Bp3p37qEdiZPutK/SWUyGV599VVWrFjxrpus6eCZHKf673q92VTUmZanh4yUBo68kXorxxm6XF6Xz+sPYeDpQKUwDnXWof43YR4C6jUCsJWXl6sgObGCEVBB/q03IDwej5JaC4NVwvxcLtc0hqIeLpNIJJTaQ8JAJCyt9PgX4LRUTq4DkzoTV2fM6ux3HajUPSlLwcpS6bu+7/SQN2k6iefyxEQ1scFBLE+a3EQ/1XaS3MQoJxITpIZMMj4XlhEk5Z3AFawkZ7iw00kCuSwx24PDAksnKJcMX/JA3gHuQhEAtIBY1mawkMM3eYymYISUv5pw1onDyhbfXpieRm058hiAcfL/zkwC31AHBdPNVLACM5PCzk7hszOYhSJbsmCD0yiujg1YJph2UWrtdRRBxykbJvPgdoALsI2ih2RZLoGZMxk3nfS7Q3gCPgrZFJWFNGl3gLgRZMzywMlGbCgUolAoEAqFiEQizJ49m76+Pk6cOKE8N+X+Ik3Jjo4OIpEI5eXlpFIpvF6vuseL7LmmpkapYEoVEQLmTUxMMDU1RSgUwrIs9Vk+n081Q6emplRycyQSUWPQmpoahoaGVLPU6XQyPDysgEVhTErjwO/3q+PJsixcLpcCs0dGRgiHw2p7xItfLJQ6Ojp4+eWXSafTNDc34/V6iUajJBIJxWYcGRlRlk6WZVFZWan8JuXckPNePIOPHj1KZ2cn0WhU7cdgMEgikVBgrQSwVVRUUFVVpZLgheDxX7nOg47n63ydr3dVCXggXiNHjx5l+fLlXHDBBRw7dmxaKuT69euprq6mo6ODQ4cOMTk5ycGDB5WkeM2aNVRUVPD+978fn8/Hww8/zJ49e4jFYvT395PJZKiurp7mGSU3vcrKSpYvX86aNWuYM2cOq1at4sknn+TFF1+ks7NTBbtMTEzQ0dHBkSNHWLx4MYsXL6a+vv6cTftt21Ymz9KJF3BRnwiEw+HXTHht254GNqbTaVwul2KMSdruO7GcTqdKBJ89e7aSZYghc1lZmRocezweHn74YYaGhvD7/Xz6058+a0cxnU7zz//8zypUYenSpXzyk5/kF7/4Bc8//zymabJx40auvfbac15ny7J49tln+frXv86+ffsoFAq0tbVx9dVXK8DD5/Nx2WWXsWnTprdkACKSlG3btrF161a6u7tVh1ZCYgKBALNnz2bdunV87GMfY+nSpb9zsFEmVBMTEwrUkWAG2y6GkUhXWL73swHhmUyG/fv3s3XrVn77298qr0phxUqneenSpaxYsYLVq1cza9asaUD9O6UEYBTvO51lNzU1NU35IMwXAROleSAgo8fjed3fr7DODMPgpz/9qfI4CofDPPHEE/z7v/87f/Znf8bKlSu5//77OXjwIABz586dcXlilwCwfPnyM1oT3HLLLUxOTmIYBjfffPM5nRf/8i//Qk9PD6ZpMnfuXFavXs2//uu/cuLECeVzK0z407EUR0dHOXHihAJvAoEA11xzDeXl5dTW1jJr1ixmzZrF/PnzmTVr1hu+Vm7bto1vf/vbPPnkk0xOTuL1eln8/9k78/C27jLff46OVsuSLMmyvMZ2FqdZmqRtki50GZYu04UHGArlaenQmefCpcNTZu7t5T48M8AwzEyZy+UyvQyXDuUyPJReCkw6FOgSaEuXtAlp3wfd2wAAIABJREFUmpB9cWI73m1Zkm3tyznn/uG8vx67ztq0TSHv8+ixJEtHR0dn+f2+73dZsYKf//znxGKxM1rm8epzn/scn/vc5/i7v/s7fvGLX5DP57nvvvvI5/Oz2KYCpOzevZsf/ehH5HI5JVE/G4AjoIIK/lDKDhgVi0VKpdIsCbA9bdvuyzdfMrWd2XculoBZct+eqgzMeizncLss2P46e1K0BADZ/56o5HNOVHNByPkASvvr5P92H2gJLpycnCQUCilAwul0qsdiYyGMesMwFLgiTEJJsRYp9nx+itIIbmhomCUjL5fLKvRLwBABTu1MRQFN5TXHk8rbgXr7thSAcS4waQci7exKYQfL96qrq1MKo7GxMaanpxVjuLOzk87Ozhkf9dEI+sQgrflJjEqJctUgaXqZTOfQ3ekZdpmuo7k8GJqDGrOENzeJr5KbsxOgAMMyUKmA7gCHA8qmRhk3VdMk5jLJZZLUFNLorhmQ2CnvZ2YZFuAwZsBKDYuqDiXToFw1KbscFE0ntboHPG58xTSmXgXDwtJm3qsB7mOro2kzNwE/LROc+sxnGpZBztDJoKFpkKla5M0qqVKGYr5M2OOgiIPhKgy6nFiaOSuYUdQKAmi1tLQQCATo7+9nfHxcXffC4TClUkmBbJlMhsbGRlwuF5VKhVQqpZiS4+PjRCIRZR9gGAYej4fJyUllH+DxeBQQKMzbVCql5N6yH01NTRGNRmlsbFQye/F/TiQSitEbiUSUVLi2tvZ1jQFhW4qlkviFirxawmDkuBHGsoTQuN1uWltbmZ6eVoC9MCrtXpFer5cFCxYQi8UUgCo2VBKOFAgEGB8fp7u7m6GhIarVKrquEwwGFfNYfP0BJUmXJsG5QOx4u+s86Hi+ztf5ekeVw+GgpaWF+vp6UqkU+/fvp6GhQckHkskklmWRz+fp6+vjlltuUUDDgQMHSCaT9PT0KMbjpZdeSlNTE+973/vw+Xy4XC5+97vfMTw8zNDQEBMTE2pgJUb3knjd2NjIwoUL0XWdRYsWEQwGaW1t5bnnnuPgwYOMjo6SSqUolUqMjIywc+dOVqxYwcqVK1m+fDnNzc3HZV2IF93w8LDqouu6TiAQUOCiPJ4LsImXlnT/JIBFjJDnk16fK2X3QRJACmaA1oaGBgAFrIgPVi6X4z/+4z8AWLduHWvXrj3hZ5imyWOPPcaTTz7J1NQUzc3NfPzjH6evr4/HHntMLeezn/3sKYM3lmXx7LPP8tWvfpW9e/dimibLli3jiiuuoKenRw3CPvShD/He9773rIBeuVxOAW6HDh1iYmKC8fFxksmk8tFpampi/fr13H777VxzzTVvKdgmjMaxsTHy+bySyov/k4CC8Xic+vp6xdw90cAsn8+zb98+XnjhBTZv3szw8LAaYItsurGxkUsuuYRLL72UNWvWKPbvuSJ/tEvsZBIhEmkJrZCSAXdNTY0KEhGZtDBlzkZlMhl27NjB17/+dbZu3aqeHxwcVOxoy7J46aWXWLNmDSMjI7hcLq699tp5l/fv//7vSnJ41113nfCzhaEcj8fnlWGXy2V6e3vVOfnVV1/lkUcemcVi/cIXvnDc5WuaNot9EA6Hqa2t5Sc/+Yk6tzY1NbF9+/bXycjfaD3yyCN885vfZPv27ViWhcfj4UMf+hDf//73T3kZAiycjj/wF7/4Re655x4++tGPMjg4yP3330+hUOAv/uIvgJmmy2OPPcbTTz+Nw+Ggrq6O//pf/+tZD7J6p5YEyMwFEeUm7DYZE5xKyvDZKHuIydmsE4Gb84GfIn18K0p8Eu0SYZnk2z0z5X92+bwdwDxR2QFIARvnBs/lcjlGRkaUvYeAJfYgCknKNQxD7RsyjtF1nUqlogKSTNNUYxjxkrTLpe0Sf5gZ74VCIcLh8CyGuwTkzGUcSqCHKAjsoXzH83+0+zjOVZfYyw5Eyl9ZX/lO4m0qzDb5bSTwzeq4AC0YxJlJUS3mwYJUCUxviGI2S8TMU6+b+LUKLreT8OQwNaVpPPOYOZrHhjXmjNsjYOE2oaA78eg6i9wa+bKBx1Elppl4jJmQGPl1NVDgo8N4DUC0DIuCDllTZ7LiIOIyoFTEaVUxACcOLN3CYZiULfBoM16PMwvUqGLhPgaKahq4LI4FyEDBhIzDgd/ppuzyMo2PUClDTC9jGjrTnlpK7hAYDnRb6JPI+WGmKSi/YTQaJRKJMDo6qix1TNMkGAzS1NSkwOtisUhjYyMdHR2MjY0xNDSkmpyy/Gg0itfrZXp6Wv2GohzSdV0pjUqlkgpeqVQqah+HGQalgMx9fX0ACiydmJhA02bCw2pqatT4TPYnAduj0agKwhFAWzwnp6enSSaTam4jn10sFkkkErhcLhYuXEh7e7vy7ZYwMpGCy3YUn3l5Tprj4hkpSptyuczU1BT9/f1YlqXCDGtqaigUCqTTaXW9kHwBqbMlrX4n13nQ8RyuP3RE/Hydedm7pr+PFY/HWbJkiTL3DwaDJBIJ2tvb6evrU0zGbdu28ctf/pL3v//9Cqyzy+w2bdpEPp/n8ssvp6Ojg6uuukp5phSLReXdIeBeOBxWzLFMJsOhQ4cIhUJcdNFFOBwOGhoauPbaa2lra2PTpk1s27aN/v5+1QksFAoMDg6yY8cOlixZwtKlS+nq6qKjo4P6+nr1e5XLZfr7+1XHzLIsBTjAzO8rYONcmUs+nyeVSilQVTpxAjaeKlvnrdqH7JKi+cIYRI4kCY/zMR+++93vMjExgcfjUZPqE9WePXt46KGHGBkZIRAIcP3117N48WL+x//4HxSLRRYvXsznP//50wJ0nnvuOQU4WtZMAvbFF1/MyMgIhUKBzs5OPvaxj7FmzZo3DH4ZhsGePXt44YUX2LNnDyMjIypNTwJSgsEgXV1d3HrrrXzwgx88rq/bm1GlUkmtz+HDh1UaojAaY7EYsViMhoYGQqGQmkAer4rFIvv37+e5555j8+bNDAwMKEmMHJudnZ2sW7eOSy+9lOXLlyuJzNtdMhiXgBeRSAtwYd/fBVCQsCV7qJPI+d6suvLKK8nn82q7appGMBjE5XKxYsUKGhoamJiYYNu2bQwMDAAzE+zPf/7z8y7v6aefVkyLrq6u437uY489piZHt9xyC0899ZQKbEkkEkoGPTk5qcKj9u/frwCPYDBIJDLjdSW+n7FYjHg8Tnt7uwoamzvg/6u/+iv6+/sVC+Nv/uZvzjrg+NWvfpXvf//79Pb2qnP2l770JT7zmc+c1nKefvppUqkUF1xwARdffPEpv6+uro4f//jH3H777fT19fF//s//IZfL8ZnPfIZ/+Id/YM+ePbhcLpYsWcK99947S/L8+1ZyLTNNk4mJCXUsCohYLpfJ5/PKi+xMGYZzJalzE5TtIM3cv3bpsoBkc9OO386aT959vOeOx+60Pzcf01O2vR3QtN8Xq5AzKXtoj4wnBCiTxx6PR/ndyjVEQGXxGA6Hw7hcLgXkVatVZSMg507Zr4SZaJd4y3ukwQooWel84y7Lsmb5iQqYJ5JNe/iN3WpAGIi1tbWz9jE7SClA5FymrfxW8hvJ7zbXQ9MOcErDzC71lvUyTVONg8UGRNZJs1xopp+yYVETqkWrVGircRDKp/BWc9T4PDh1Hb/LgbNkYDjdGKaJ06ygY2KiYWg6mgUeNFy6SXkmygUNCFGd8Vp0O6nDwGcYM3aQx8BF85j8WeM18FGHY16NGho6Kc1DyR/BXRrDr1tgaZiaG8wKDquKoeuUgVLFomyZODUNBxYFnFg48OsaNUYFXTOpWjBRhkHLiUcz8VOk7PQwpHuIB/1kSgVM3UXBHaBUG6UtGFSgtq7rZDIZxdJLp9PKF13A+bq6OhoaGhgYGFDhgaJu0nWdbDZLKpUiFouxZMkS2traGB8fV4nWcq2sra2lpaVF/f5iCyDeyzBjvxKPxxkdHVXzFQmhFMubtrY2WltbGRsbU2xA8cJ3Op1UKhXS6bRiPcJME1D209raWgVoGoah1G6iCDEMQ3lWG4ZBb28vxWKR5uZmZX8lrHM5VqLRqFKCeTwe2tvbFSNSWLnVapVsNqvIJA6Hg9HRUcUc1XWdtrY24vG4Svu2H3tyTpDj9Wyqyt6pc/vzoOM5XOcqE+l8nfvlcrlYu3btO/bEdLLSdZ01a9Zw5MgRDhw4wMsvv0wulyMYDNLQ0MDQ0BCWZXH48GF+8YtfUCgUuOGGG7juuutUeMLhw4dJpVK88sorFItF1q9fT1dXF52dnbzvfe9TEtBsNqs+1+/3s3TpUtU53759O6VSiYmJCa644goFbK5evZq2tjaWLl3KSy+9xIEDB0gkEkxNTSma/8jICHv27KG9vZ3FixfT0tJCW1sbPp9PMYTES6Surk4NJmWAMRdsLBQKTE1NsXPnTvr6+rjgggtoa2tT6Yen62P1Zu5DAjQWCoVZbEZ4LV3aPik4UY2NjfHkk08C8J73vIf29vYTvj6VSvGv//qv7N27F4BVq1bxkY98hAceeIBkMklDQwN/9Vd/RTQaPeXvs3nz5lmA49KlS1m2bBmJRIJiscjq1au57bbb6OzsfMOAYyqV4plnnuHVV1/lyJEjTE9Pk0qlSKVSSiLZ0dHBe9/7Xj7+8Y+zdOnSt4ThJwO4RCLB5OSkAot8Pp+yI4hGo8TjccLh8En9NiuVCgcPHmTTpk288MIL9Pf3k8lklDl9MBhk8eLFXH755bzrXe+is7PzbZeviGRVPMLsEum5AKNMGmVSGAwGZ6VIv5WAqRjOOxwONbnx+Xx85Stf4bbbblOyJYD777+fv/zLv1Tvve666/jxj3/8OsBu9+7dWJZFS0sLixcvBmZ+05GREfbt20dvby+Dg4M8+OCDKnX4t7/9Lbt27Zp3HSXoStO0WanPP/jBD7jyyiuJRCKnvJ8/+eSTPPHEE6RSKRwOB9deey133333KW6tk9fExARf/epX+cEPfsDk5CRut5u2tjY2bNjA8uXLT3t5Ylh/4MABPB4PK1asOOX31tXV8fjjj/ORj3yEvXv38u1vf5uHH36YtrY2NE3jxhtvPKuJ1edCZbNZ5dUlTH+57h4+fPi0liUgorDrBVCcC1DJ7e0GBt/MequBTwHmBMySv3bZutwXIM/O0JPn7CEy0uA8nbKDlU6nk4MHD84CB+eCzPbEWmkUy/rL9UFAOhn/zE36Fqm2gBgC/NjTquWxPQzHzji0S58FsJTroyzXDorLd7CD5DLutIfv2L0w5WaXps9lUdpZcCLxTafT6niRoCiA6tgYLl3HY0ziNXPka4IMlBw01zhxlUs4DQNNd2FSxbR0NMs8xm6cYYtaThdoGrpRRTNKODkGJmrgcui4jCq6rs2ExBgzoS+6NfP/2aVh4cABuJ0u9JogLrNKyeUjr4GjNoRX17Gmx3EXpnACLk0nq7twGRWMShW3w8I0DEaqLpp0B5rTgceqUEXDqPERrlpUTCiZJulilUywlqLTh9dXT7FiUDEMao5Jquvr67Esi3K5TCQSUYqrXC6npMpzQfVFixbh9/sZGhpidHSUbDZLXV0dHo9H+W6Oj48Ti8WUvFnGk8IGLBQKxONxNX+QVHUB66RB6vf7mZiYUL6Kfr+fgYEBDMMgnU5TU1NDV1eXStB2Op0KQJR9UvyZo9Eo5XJZsSmnp6cVG1Lmb8VikYULFzIyMqK8QyuVCr29vWrc2dnZSUdHB9VqlampKSYmJhQL0zRNxaAUKwO7nNoezCfrmk6nyefzZDIZyuUyPp+PCy64QIHqdqCyqalp1vF2OiqFU6l3Kj70+3t1PF/n6w+8fl8BR6nFixezatUqxsfH2blzJ8VikVgsRiQSIZ/Pq5Nyd3c35XKZTCbDDTfcwPXXX68mEAcPHiSdTrNjxw6VCt3U1DQrdUy61XIhqlarXHjhhSQSCarVKrt27VLspXXr1qmOWDQa5d3vfjddXV1s27aNrVu3Mjg4qAZd5XJZpfXu379fTarFDycajbJw4ULVvbOndttLwMZMJsPExARPPfUUiUQCTdNYv379G6L0n819SKS24lFnBxoFxBXJ9OmAZN/5zncU4Pyf//N/PuFrq9UqjzzyCC+++CL5fJ6Ojg7uuOMOfv7zn9Pd3U1NTQ133nnncYMx5qsDBw5w3333sWvXLizLoquri6VLl854FhkG69ev52Mf+xjNzc2nvMz5yjRNdu7cybPPPsvevXuZmJigWCyqQZdhGNTV1bFmzRruuOMOrr322rckMEG67RLOIaFNkqouVgji03ii39ayLAYHB3nxxRd5+umnOXLkiPJoFEbjokWLuPTSS7n66qvp6Oh4ywE6KdM0FUNKOt9i9C+TSWCWHMntdhMIBAgEAkoifS6kZUciEZ566il++ctfcujQIarVKuvXr+fGG29U5zZJtr/nnnv48pe/TDqdBuDVV1/l8ssv5wtf+IKSRvf393P06FHV5f/Lv/xLBUbPbTJIkqVMXIRRLpYZCxYsYMmSJSxZsoSamho+8YlPKEbQJz/5ydMOYclkMnz961/nyJEjOBwOOjo6eOKJJ87Slpw5H3zhC1/gqaeeUl5RV1xxBQ899NAZ+zfefPPN/PznPwdg586dlEql02I8AvzkJz/hPe95D9u2bWN8fJxCocDXvva1sxJi81aXJK5OTk4qdm42m1X3T1YC9AvAfyIQ8Uwqk8mQyWRm3Zf1EgWCNN3k+9jl2zDDFj/V8/fJXmf/XvCaxFGaHHLcBQIBgFn3386yS6TfSNmBsuPJ5YWNbpdFC8PyZGClnc1pl2QL4GdnJ9r9K2trawmFQipMRpYhwJ0kt0sS99w0b7kvwYJSArbKtdYONNqZkQKo29dzvkR2eTw3jEYkp/aQGZHFCmPYDgYbhkFzczPZbFYds7K9pqamKBQKM9u/WqZIBsNZ5mjewOerYXrSJGrm8FkGDqOCroFmGSq4paA5KeLENHUCZpEaq4oTMDGomhqWQ8NhlHBj4MBSjEbHMaW2AWi6zX8RqOozcwiXx0vYDUU0yhUXaQdMGzXUVUu0WTMJ15pl4tRMgk6LktNL1q1TKOdxYRI0LCbKJpNuHxGXH4fLhaV7qZYqGOUCecMkU/UxlkwSrY9RUxslUKOrxGfxSAyFQtTX1yupcWdnJ4VCQSmb7CCvsGBjsZj6jQYHBykWi8TjcUKhkAorymazqmknv1UymSSRSDAyMkJPTw+BQICGhgbq6urw+/1YlqWSqePxODU1NUp5IsdaXV2dmvM4nU76+/tZtGgRDoeD8fFxnE4n5XKZ2tpaBbJLintzczPValV50QuQam/iivqhrq6OQqHAjh07lOd+fX09S5cupbGxkVQqRTweV37ZktotTeyamhri8bhiM5dKJfr7+xkZGVFjDbFxgtfS7X0+H4sXL6a2tnaWz6r8z+6tfbZBx3dqnQcdz9f5Ol/vyHI6naxatYq9e/eyd+9ecrkc4XCYcrlMIBBQxspHjx5laGiIX//612QyGa6//nr+6I/+CL/fj8fjYf/+/eRyOXbs2MHw8DDhcJjp6Wmq1apKm5ZOmmEYjI+Pc+TIEbq6upicnGR6epr+/n4l11qzZg0XXHCBSjtrb28nHo+zcuVKtm/fzu7duxkaGiKZTKqBVjabZWJiYpa8Mh6Pc/DgQZqbm2lra6O5uZlIJKIYUcIsE6ADYHR0lAMHDjA9PY1pmlx22WWqS25PPJybaDjXFFxudpPzMwF2TgQ06rqOz+dTPppnUn19fTz//PNomsYtt9xywrAKmGEkPvroo4yNjREMBrnpppvI5/Ns2rQJTdO47rrruPnmm0/584eGhvjyl7/M9u3bqVQqLFy4kCVLlqgUvssvv5zbbrtNeVGeaQm7cevWrfT09CgD8JGREdVx7ujo4KabbuLOO++kpaXlDX3eqVShUGBiYkKBjZOTk1QqFQU01tXVqYTfk8lKpqen+e1vf8vGjRvZvXs34+PjVCoVZQ7e2dnJFVdcwbve9S4WL1580iTrN6OEZVAqlVS3W46/YrGoWClyXAmwKCEvwjY+V3wl59bixYs5dOgQMHNu/fM//3MKhYIamAv4aO/yNzU1KZ/Fu+++m2984xs0NjbS3d2twJNUKsXu3bvV54i/YiQS4ciRI+q5//W//he33347fr//uOs4PDzMz372M+Vf9e1vf/u0v+fXvvY1tmzZoiRZ3/rWt057GcerJ598kr/+679m3759auJx11138Y1vfOMNLbe2tpYrrriCl19+GZgBNoHTAh4ffPBBZaQvAS833HDDG1qvN7vkuiiTW0lOPZmXoEj4ampqFFguVgV1dXWnxNYbHh5meHiYRCJBPp9X5zhh6kgz0p4uLKDR70vNlX7Lc36/X4Fn9nNbKBTC6/WqdOdYLEYgEKC5ufltBTHt619bW3ta7z2er6cwLgWslAaUAIR2kFA8H+0goZQd1Jjr5Wj3q5SEYAEQ5wKQ9jRuAZ4ERLLLvuXz5TUCasl2gtcaZfZ1srM45yZe2697dga/rKe9hMUpaggBmUKh0GteqcUi/pITq5ii3ulislzCZ5bJOQz8GHgw0WyLNXFQwknO1KlQocasgqOKgUUFJyWHhs+ozATD8Bq46AAVQiMp1uax56pYaEYZNJ2CAYblwEsVl1Uk5/DgzyWpMzMY5RxlLFyahmYYaEYBj8dLKRAhWQlTzkxjmnmsapXEdI4+3UNtrYeQX8fpNDEcQYaLBsmyhu50Mjw8zOjoKM3NzWo7ZrNZampqlC1LOBymWCySTqeV9LdQKKhkaGH2SWMzFAoRCoUIBoPKp76+vl4lqwvQHo1GCQQCjI2NoWkahUJhlje8vC8Wi+Fyucjn8xiGQTabpb29naamJkWAkNCVcDiM2+1mYmKCUqnEgQMHiEQieL1ecrmc+pxIJEIul2NyclKxEFtaWpSFlKZpKqymWCxy9OhRBVyKvDmZTFKtVgmFQkSjUZLJJJs2bVLf0+/3q8CnsbEx0uk0brebBQsWsGLFCiX/T6fTjIyMKLA0FArR2NiIx+NRjFFRnS1YsECl1Yv3tXhP2lPlz9XAzre6zoOO53Cdq6l15+vcL9M06e3tpbOz821n0bxZpWkaTU1NKonN4/Eojxrx81i/fj2bN2+mu7ub8fFxnn/+eSUrEK8PCY4RTxOYmbTU1NTQ0tJCe3u7CucYHh4mmUyqz+/q6sLv96uAjO3bt5PJZJicnGTVqlWEw2EcDgder5euri6am5tZs2YNe/bsYd++ffT19Sk/PhmUut1uJZceHR3l0KFDiuUYiUTUpEkGmpKK5vP5VJCISCQ2bNhAKBRSA08ZMNpvIqWRTrd98JhKpViwYIHqiAtbQrp4ct8+SAaULKNYLL5OUvpGgUZ7PfDAA5RKJerr6/nTP/3TE752YGCA733vexw+fBin08nFF1/MVVddxf3330+1WmX16tV88pOfPOXjZXp6mr/7u79j8+bNFAoFWlpaWLlypQrtueyyy7jttttOCoSeqEzTZPfu3Tz77LPs3r2biYkJDMNgaGhISWLD4TBr167lU5/6FJdffvmbKn8zTZNMJsP4+Ljy2xOpTCgUUizd+vp6AoEAlmUd9zxUqVTYt28fv/rVr9i0aZPyvrQsi5qaGtrb27nsssu4+uqrWbFihfKleitLJpQizxTGkjQgZEImjEUBOMQC4VzwlDzVsrN4Fi5ciKZp6nuNjIywfft2Dhw4wCOPPKI6/vX19RiGwdGjR4EZr9SBgQHl7eR2u1m5cqWyeli8eDHLly+nvr4eTdO44IILlBfjJz/5yeOum1zPvvnNbyrPpQ9/+MOn/R23bdvGv/3bv5HL5XA4HHz6058+a8Dbgw8+yP333093dzeaphGJRHjggQfOGpOwo6OD/v5+BgcHgVOXWufzef72b/+WX/ziFwwMDOB0OmlqauIrX/nKW8KEPtWyA4zSkDsRuGhnK8pxFwqF1LE3t0zT5KWXXsLj8TAwMMDIyAjj4+NMTEwomZ1dvnu2yn5dnM+f0R6CIq85ld/lVNbRDoDagbL5fBjnA0zn+g5KyRjodMsOoAl4aQcuxXs6HA5TX19PY2Pj2w5Y2hmich5asmTJCccJcxmVIoHN5XJqfCrXEWF+y3hOQLj5wDo7gCGAnz08x+12Kxar1+udJTuXm92PUcbLAlSKzNkOKIpvpZ1NKWNHu0R7PlByrv+kXfYtqcMixy2XywrUnZycpJysUtYhUs0TcwOaj1K+gmEaGFTRsTDRMAHT4aJGBwcGllmhxqqiGRY5HEzhxNA1fBholoFhgYsZJqPKe2EGgLQAEwvDmFmuCxMDE8uawl8sgK7j0sBw+ig7nFAqz/hJYoFl4sLEQqNUMSngpNq2lLGCQW7gMNNTk0yVi/Sms2hajkavg47WZhwuNymnk6zXQSmVVr/Rvn37qK2tJRAI4HQ6qVaruFwu6urqGB0dpb6+Hl3XGRgYmPUbVKtVUqkUhmGo+YwE6UkjtFAo0Nvbq6TW8runUim17+RyOaVWyWazKu05nU4zPT2tzrGitunv71cBSzIWCgaDCoyvr69X7xXLqrq6OkWeyOfzeDweFZKTzWZVQ71QKOD1emlrayMcDqt9WYC8iYkJenp6KBQKirVYW1urAFCn00lDQ4MCSuU4TiaTymv50KFDyg7H3jCora2lo6ODhoYGtaxUKoWu60QiEQKBgFKWTU5OMjU1RTgcVn6Omqbh9XrPerNZmofvtDoPOp7DJd4D5+t8nW5VKhUSiQStra3n1MTibJfb7aa+vp5wOEw+n1dJbuVymWQyyfve9z4VuHLgwAGmpqb47W9/y+TkJJOTk9xwww3qIpJMJpWHo8fjobm5mebmZi6++GIWLlzIyy+/zEsvvcShQ4dUQrZMnBcvXkxvby/lcpm9e/eq5S1fvlx5zWmaRiAQYOnSpSxYsICuri5+97vfceDAAUZGRtSJTIzsAAAgAElEQVQkS7rm0tmTwdjExASHDx+e5d8jkmSv14vL5VJMDJFt/fa3v31d2Izcl0mPffBoH7yId1pra6uSo4v8WaQOcl868NLxFpaJTAjtRtdnqw4ePMjWrVsVAOHz+Y772lwux0MPPcS2bdsoFAosXryY22+/nQ0bNpBKpaivr+eee+45ZRZEoVDgvvvu45lnnmF6epr6+nouvPBCNThat24dH/vYxwiHw2f8/fL5PE8//TQvv/wy3d3dim02PDzM1NQUbreb9vZ2br31Vu688843NQRCmJUCNk5OTs5iuwnQOJfVWC6XX3ceGhsb44UXXuDJJ5/k8OHDpNNpLMvC5XLR2NjI2rVrefe73826devUIPatKun4F4tFpqamFBNZ7BUEnBdJokwKhOnzThwESv3Lv/wL1WqVyclJ1qxZw5e+9CUGBwdJJBKK+S2TIUD9LgsWLKC1tZVXX31VMXpkgvqud72LRx555LifKQDaZZdddsJ1q1Qq9PT08P/+3/9ToVpnwnL8/Oc/z9DQEJqmcckll/DP//zPp72M+eorX/kKjz32GN3d3TidTtra2njxxRfPWE59vFq/fr2yVYAZqbXH41GemXNr//79/NM//RNPP/208tW66KKLeOCBB1i4cOFZXbfTKQEY5VxyIoBRgKhgMKju19bWvq65kslkOHjwoAqJswOKMvmU0IVTPacIACihIsLwE4BMkoS9Xq8Cyc41ifLp1vGk4XNl4WKVYLeWEGBtrv+ilD1c5XRqvt9hPqCyvb1dgZRvxrY/1XG1SKdPZTwh2yqbzSrQTQBw+StA5NygFwkOlLKHuwBKQi9ML7le+f3+13lL2v0v5Sb/myu3tofY2EuYlfYk7rkp3HaJuYBo8p19Pp8aQxVDIazkMLlsCrcDDEujzq1TnS6imToWYKDh02Ya716nA6/HhVXRoKJRNavkDQdYBoahoTnAhQbmDJhbtcCpzYCN8i00wIGJBeQqoDt1HBq4y2WgjAMN3QFoZQro1OlVTAzchomJRRGoAHnDIpUcpy+nk4ouhMaljFtD9GdHSFtVUskUL09M0DKapa4+Rl04ojwv5TcViXMqlVJAsgSZSKJzTU0NdXV15PN5NR+Q4LlEIqEkv5lMRs0VhCVZqVSYnp5W4xlhkJdKJZLJpGLqVatVNX+R/WNyclIlRov1QLVaVUExHo+HQCBAbW3ta+zVY+NFt9utJNOSKC3HliRl20F+8Qudnp7myJEjKh3d3vQdGBhQ33HJkiVEo1HC4TAej0ddW4aGhpR9gsfjUd6P4jEusmwhfFQqFdxuN6FQSCnXxsbGlJRd13U6OzvVvi3zJ/GiDIVCs+ZpZ7sqlco7cm5/HnQ8X+frfL1jS9M0WltbicVijI+PK1lVKpUinU7T39/PJZdcQigUoqamhj179pBOp9m3b58aOK9YsYJly5Zx6NAhBViKT121WqWrq4v169ezaNEiJY+UEJr9+/djGAYXXnghF154Id3d3WSzWYaHh0mn0wwPDyuPvwULFigwr1gsous6y5cvV/5/o6OjDA4OMj4+rgb3dpNou2G3dJDFQ0RASmEzCrtRbnZgUQABuwRnvu0qHVN5v10qIObP9puAjNIplUmZbHuZHNhTtN8ISPPAAw9QqVRobGzkox/96HFfV61W2bhxI7/61a9IJBJEIhFuvPFGxsbG2LNnD7qu8/GPf5wlS5ac0udWKhW+853v8Itf/IJkMkkwGGTlypXAjFfWxRdfzO23304oFDqj72VZFkePHuXxxx9n+/btilUiUr9isUgwGGTdunV8+tOf5oorrnhTgDkZfCUSCQUQTE9PY1mWsi+IxWJKpnMy5sf+/ft5/PHH2bx5M8PDw6q7HgqFWLZsGe9973u56qqrVEf6rSiR/5dKJQVOSNddJk8ul0uxc4VJJYFR71SQ0TRNRkdH2blzJ3v37uXo0aP88pe/VGDWyMjIrNfLwLmuro7t27cD0NXVxTe+8Q1aWlrweDyUy2VuvfVW9X/TNFm9evVx1+FrX/ua2gf+8R//8aTr/Nhjj5FKpdA0jfe85z2n/Z3/5//8nzz//PMqDVM8Et9ofetb3+KJJ55g9+7dyubgmWeeOeuAI8yACOvXr+eFF15Qz23dulWFR9nrBz/4AT/84Q959dVXKZVKRCIRbrrpJh544IGzvl4nqjMBGMPhsGpk2MHFTCbD9u3b6e7uVr6hcsyejPknabwiAw6FQoqp0tDQQDgcJhKJEIvF3lTg6lyvN+N7ZzIZhoeHyWQys+Tq0tyxA5e5XI6pqalZvrgyjsnlcqfMshSQUuwtwuEwwWBQgQz19fUsWbLkDXstv9E6XYBSwEnxpBOrD2mOid+dNKdlm9ql3pqm4fF48Pl8qnkmMlzx67PLxWVMbJdzy2cIoxF4XWK1jCEEiBbQUoAjUdDIuFgAVAGnCm43hXyM8XQKTJNANU/Q68dVzuM2SqA50EwLh+6g4qnB9AVxmRUcxRxUSvgNoFzAsgzAQsPCeWyopBkzPo5q5HQMfdQMHR3w6VC1TCzLgcsBPg0KpkXWgGS1SoO7ihcDMNF1TUmzs6ZF0ajgqxr4s0dJTU5Sqo3i9NbR3NIKmkOFkoynp0hn89SMJ4jH4wrIra2tVWCzSOBlHO73+0kkErjdbhV+IqzHYrGowPimpiaKxSKjo6NKxg4z15BFixapYBXx3ZQG+fT0NF6vl3w+T11dHcuWLVMhhX6/n2QySaVSUb7dfr+fpqYmPB4PwWMp21NTU6pRJN74EuxlGAZ+v5/BwUGVBh+NRmcB7OFwWDH5PB6PCnQpl8uzzgGRSESRLJxOJ62trcTjcXWuEMBd2LPSKPH5fCqcra2tjYsuukgxfaWpL2qIUChEQ0ODAmTl+iUNPBkHCjtffqtyuczU1NQZhXj+Ptd50PF8na/z9Y6ueDxOQ0MDBw8eBFB+b6VSidHRUQzDoKOjgw984AP4/X527tzJ6Ogohw8fJplMcvDgQVpbW5VEy56MKNKBVCpFU1MTt912m0oCFDr+/v37qVQqrF+/ntWrVzM0NMTRo0epVqvs2bOH0dFRhoeHaW5uZsWKFTgcDiYmJjBNU8kb2traWLJkiRp4jYyMMDAwwNjYmPIWkYGlpPfaJS5Suq4Tj8cJBAKYpqkkN/I/AR5hBhQQSbo9bVAGlgJkSfdPAEdADSLlPfYOuN0o3d5dF8apPA4GgyowJxqNnjTN2F579+5lx44daJrGRz/60eNKii3LYtu2bfz0pz+lr68Pt9vNJZdcwtVXX819992nfC9PVQJpWRaPPvooDz/8MCMjIyq9TlL1LrzwQu64444zBhyr1SovvfQSGzdu5PDhw2pyLv41AK2trdxyyy186lOfIh6Pn9HnnKjET0f8GmXfc7vdalLe0NBANBo9KXN1amqK5557ju9+97vqeJH9Tnwa//iP/5glS5ac1u9/piUDy1KpRDabVV5x+XxebWvxURLQXPbVtzsZ+0yrWCzS09PDjh07FBMskUiQzWZnSfhkUtLR0UE0GqWxsZHW1la6urpYtWoVnZ2dJBIJnnzySXw+H3/913/NmjVrlBzJ6XTy2GOPsX79egYGBgD4t3/7Ny666CLuvPPO163XD3/4QwBCodBJE50zmQyPPvqo8mH8+7//+9PaBgcPHuQf//EfVRLlgw8++Lq07TOp//iP/+AnP/kJO3bswOPx0NjY+KYBjlKtra10dnbS29urntuyZQter5fGxkZ2797N/fffz86dO9U1MR6P86lPfYrPfe5zb9p6AWqS+0YBxuHhYXbs2MGRI0cYGBhgdHSUsbGxkzLk7ECThC40NDQoG5Z8Ps/VV199fhL4FpcoPM6k7N6a0kyempqaZXdh99W0B/EISHCy8vv9swBKCT1rampS17ylS5e+7b5swi47WVWrVaanp5VvoshGp6enFfAjjLp8Pk8ikZjFnrRbFwhbMhKJUFtbq5htwowU6bVISeE1/2NhTIoMXKyDRMUjcnP5brquq6RrGasWi0Usp5t8NstI2cLrqKHO56KmWsRRLuByQBUHGX89HpcLzSjjtSzw+QlUSpgFMEsFMExMwMBCx0I/5us4s8LMIIb6zE0DXDrkDAeF6kyydUA/pgpyuPC5nASsIh7dxAHoWGj6zGJCuo7fpVE1LSynhmmWmarMyJG1pg4WLlzI2NiYamaOj48rJZME7lmWRSgUUnY2ErISDAYxDEOpesbHx1UATDweJxqNKpakaZqqkSKhMLK9BdStra0lnU6r8ZDb7SYajSrvZgnLXLNmjZoLify5XC4zOjqq7GXC4bDaf5xOJ6VSSc1RpEEt1k+Soi3XC7fbPQv8NgwDr9erbG1qampobGxUbEMhhAgTMxaL0draqpKkhXFp9xoVhqX4XVYqFQKBAKtWrSIQCCjWZygUwul0ksvl0HWd+vp66urqFGBpH8NGIhEGBwdnjSXlu8j86J06bnyz6jzoeL7O1/l6R1c4HFYSJ5fLpQIKhP03MTFBtVqlqamJD33oQ9TU1LB9+3Z6enoYGBhQbLVwOExzc7NKUhNG4ssvv4xpmlx11VXE43FuvfVWBeZJaMuhQ4eoVCpcddVVtLe3U19fr1Kzi8UiW7dupa2tjX379qlwmUWLFuH1ehWA2NraitvtxjRNFi1aRLFYZHBwkL6+Pvr7+xkbG1PyALs0RtM0dbGXtLpIJKI6hPYutD31EJiVgAjM+itS07q6OsWiFEBWBojymfI+kWdL91QYDfL5domU+FMKsBOJRIjH4zQ2NiqvzflAKMuy+Pa3v41hGLS1tfHBD37wuPtGd3c3P/7xj9m1axeVSoXFixfz4Q9/mEceeYRMJkM0GuXee+89Zabgli1b+L//9//S09ODrut0dHQQDofx+XysWLGCT3ziE6c0KZivJiYm+PnPf86WLVsYHx/H6/ViWRZHjhwhlUrhcrlYuXIl/+k//SduueWWs85uFEsCmdhNTExQKBTw+/1q0BiPx5Xs5nglCdRPPfUUTzzxBPv371fyk1AoxIoVK7juuuu48sorCYfDbzqrUZoHYjQuE9VyuazAdTH+FqBRwpreaYPFfD5Pd3c3r776qmKDye841yNMAl3q6+tpb2/nxhtvpKuri+uvv/64rJt/+qd/UpPSD3/4w3g8HmpqalTgTLVaJRqNKtCxUChwzz33sHnz5tfJoQU0W7t27Um/1w9/+EOVci0g6OnUX/zFX6jz0Pvf/35uu+2203r/fPXyyy/z4IMP8sorr6DrOrFYjJ/97GdvCHD8l3/5F5577jkWLVrE3/zN3xyXcbZu3TrGx8cVCGeaJhs3buTAgQPs3r2bw4cPMzg4iM/no729nS9/+cvcdNNNZ7xex6tsNsvo6Cijo6Mkk8l5QUGHw6ECXMLhsDqHOI+FJmzevJne3l6GhoYYHx9X17njlcfjoa6uTqWbX3DBBbS3t7N06dITMvRKpRI7duw4K9/7fL11JTY3p1MCVB49epR0Os3Y2BjT09Ok0+l5mZQCXJ6MRSkgR2trqwrdiMViNDU10draek4wJwElWz2en/T09DTJZFIBk8IWlnM4vLZN4LVxoiT9CkNSbHfkvmVZSmprH0vKddQuDxdLFb/fP2ucVyqVME1TWXoI67JYLDKUq5ItlqjXK0Q1i1pPLVq1glN3ksqVweckblbR8xlcTh3D6cbyBXBqoBUNyqZGxbKwMHBJgjXMoIw6WNYMwCjp1brTw5TmIGyWMCwTNKjqDkIY+LDQj73VfvPOODxS1V0YTheW5iZnVekrTDNVKBA/1gCxLAufx0NmMkXf4BBDwyNK4huNRmdAymMKA3topGx7AbiExVgoFBQBo1QqqTBJj8ejPA7Fe14ANrfbTVNTE/l8XgGQ+XxeWTJJaEo6nWbx4sWKUZlOp5WvYS6XU16NuVwOj8eDaZrK7snlcmEYBrFYjFgspuYApmmqfU72RwmecjgcijFYLBZJpVJkMhmWLVvGggULcDqdDA4OMjw8jNfrZfHixVxzzTUEg0HFyi2VSsryRvbLcDisUrQrlQotLS10dHSodTFNk2Qyqc4L4iMpc65cLsfQ0NAsabPYtYh/fX19PW1tbdTU1Jw08OwPsc6DjudwvdMmPOfr3Cm77PX3vXw+H5FIRAEbXV1d7NixQ1H1Q6EQ6XRaXfhuvvlmBSz29PQwPDzMyMgIoVBITWhramqoVqv09vYyOjrKSy+9hGEYXHnllTQ3N/OBD3xAAYbd3d2k02l6enooFotcc801tLW1sWbNGsVyFCA0l8sRj8cpFAoqpKWzs5OWlhbVRRfpdC6Xw+v1Eo/HicfjqlMsIS0iwZYERZFKe71eWltb1WBNnhejeLmACjAo90XCJM8VCgUcDofy3BFJuJQ90VpkOw6HQ8nYRI4jg1hN0xTLbHJykqGhIcWGDIfDxGIxlXjc1NREPB6nqalJJc5JvfLKK+zZswdN07jtttuOC76Njo6yYcMGNm/ezPT0NPF4nD/+4z9menqaPXv24HA4uP3220+ZLTgwMMA3v/lNdu/erTrL8Xgcr9fL8uXLueuuu84IcKxWq+zevVtJNGVwJCzcTCaD3+/nmmuu4b/8l/9yUlbY6ZZISoQNkUgkKJVKKrEvHo8Ti8VOKv8yTZP9+/fz6KOPsmnTJpVALUzja665hmuvvZZly5a9zmf0bJY9ZVoA1Gw2q4A3MeIX9q3I/d+JwS+HDh3i1Vdf5eDBg/T396vfbi7AqOs6dXV1xONxOjo6WL58ORdffDEtLS2nfI2wLEulJzc0NMxii4n8vFAoMDAwgM/nY9WqVfT19ZHJZPjhD39IT08PGzduBOAb3/iGagr9wz/8w0k/+/vf/75qdnzxi1881U0EwHe/+102bdoEQCwWY8OGDaf1/vmqv7+ff/7nf1Zy7Ugkwve+9703fGzu2rWLsbExxsbG+NjHPsaPfvSjeYE0p9PJpZdeyrPPPotlWWzdupUtW7ZQKpUYHh6mWCxSX1/P0qVL+dd//dfXSa/PtCYmJhgbGyOZTM7ylrSX3+9Xnlp2gBHg+eef58knn6Snp4f+/v4TstBkOQIurlixgtWrV58xqPOHNCb6Qy8BKk/W0BDZt1jbpNNpxsfHyWQySlIq0n0ZH2WzWQV4zFd2hUckEpkl625paWHhwoVveziO+KPOV4VCQTUfhU0qYK0w7iTkA2YH3AiIKCw6UbfADJg4N+1agmrsqdviEV5fX0+hUFBM+kKhwJTTSSajU8wmGbYMrIqDkD+Eo2pQV80RyKaxzCyWYyal2nR7sZxuNNNEd+g4HDpFw0I3CxjHQMcZH8eZ0swZwLEKVHUNrCoNDiempVGxNAzDQquU8LhghjcJLgdggnVs6CDhNLplEKjk0J0GTtzUVrLs6jnM0MgIkXCYQGmKC2MNFB1OFuoR+kJetvYMqf1OvGsDgYACe2VekE6nicViFItFvF4vpVJJpUNPTk7S2dlJIBCgUCgoGyZhUYp3vQB5EoiyYMECZaGTzWaVlczQ0BDZbJaenh4aGxuVf7CwXiXdWpjFuq4r9mswGGRsbEwlluu6rtKs6+rqlKImkUhQLpeVQko8Ki3LYmpqSrF1heUp4KnL5SIYDLJw4UIVXJPJZAiFQkxOTqoxq6jKDMNQ/rRihdLa2qrmLsLeHB0dpVgsEo/HWbBgAfl8np6eHg4fPkwikVAsUpnriNIrn8+r+YvMIV0ul/J5PJv1Tr2OnQcdz+F6q3ytztfvX7lcLtauXfuOPTGdbjU3NyuwYd26dTz22GNUKhVGRkZUZ1Yo+eFwmDVr1qiLqyRHSyrwihUr+OhHP0pvby+1tbXs3r2bsbExXn75ZSqVCldffTWtra3ceOONeL1ennjiCfbt20cikWBoaIhf/epXXHbZZaxYsYKWlhZqa2vZuXMnlUqFYDBIsViku7tb0fGnp6cZHx+nra1NgVYiixGvlXA4TF1d3SzJ89yusb3spt92yYsMEOfel+UJAFkul8nn88pvSfx9ZIAooI6AnmIWbWdiyrLtSXDyfvm/SHRyuRzDw8P4fD7q6uqIxWKEw2GamppUgng0GkXTNL73ve9hGAadnZ3cfPPN8+4Pw8PD/PKXv+Q3v/kNo6Oj+Hw+LrnkEq666iq+/vWvY1kWF110EX/yJ39ySvtXLpfjf//v/83LL7+s2J8tLS3Kj/Cuu+46o9CYXC7Hs88+y3PPPUdPTw8ej4f29na6u7s5ePCgGvjcfPPNfPaznz2rYTGmaSpmUSaTIZlMYpqmYp42NDTQ2Nh4UilitVply5YtbNiwge3bt5NKpYAZm4Ply5fz7ne/mxtuuEF5Fr0ZJWzGbDar2IwyWQGUlCkQCBAOhxXg+E65xlarVQYGBtiyZQv79u2jt7dXybLmHvtizt/c3ExXV5cCa97ovlMqlVTwy/G8Gp955hk1ubj77ru55JJL+OAHP8jg4CCbNm1i2bJlPPPMM0paXVtby5o1a074uQ8//DDd3d0ANDY2cuutt57yOg8PD3Pfffcpqdff/u3fnvJ7j1f5fJ777ruPjRs3qknQl770JdauXauYKvYwB/t5eL6b/Vx955138t//+38HIJ1O88lPfpKHHnrode+RbeHxeHjggQcU2CxASCAQYOHChdx7772MjIyoJkJdXd0pm9pXq1VGR0cZHx8nmUyq84O9pCkVjUaJxWI0Njaq5R88eJCNGzeya9cujhw5QjKZfF06MszI60XO39bWxqJFi7jyyivPOihzNsZE8ykC5O/x7p/odXOfsz9/qvfP5D32+/OFgZzO4zNdxnz7/4kevxklsu9TkX7bg4qEPSlp63ZfUbv/5NjY2HGXJ8CkeIvW19fPagq9XYxJn89Ha2srra2tr/ufNCWnpqYUaCUMPHvgh2VZyg4GUB7f0twLBAKKHSbyanvaNcycf4RJKey7WCxGqbSAUrHA5ESC6VyBkWqVFr9G0JzGlZ/Ap4FWLWE6nJjlMrphoBklLA10s4wP0NCooFE1LDzHwEIXzMirj3kzFqvg0SycepWS7qQKTFUdM36NRhXtmAzbNI/5QhozwKP4RJrMhNJ4MQg7ocHnpzHczHgqRXX0KB0BHe/kCFGPi6aon1htDdFoPTuHJhgcHCSVSqkgFfH8LJfLeL1eKpUK6XRaKYXEE3VychLLsuju7iYajSpATcbsgUCAxYsX09zcrJpbvb29TE5OEggE6OjooFgsKn/CQCBAPB5neHiYfD5PKpVi586ddHR0qGtcfX09AwMDKhVabJYsy2JiYgJN0xTzUmT8wnYUJq6wOiVcyOl0KvWEhNJMTU0xNjam5ibC4Fy+fLlKlq5Wq9TW1qo5jYxXJKFaliHvX7BgAW63m2q1iq7rKkBGruMej4dSqaSCPrPZLJVKBZfLxZIlS9R8bXR0VLGCnU4nwWBQMYBF+XW2Qcd3yth1bp0HHc/X+fo9rT8UwBFmPKukwyaA1cTEBKOjo1xwwQWUSiUCgYACGU3TpLW1lYaGBkZHR9WFOZVKcfjwYfbt28d73vMePB4Puq6zc+dOxsfH2bp1K9VqlWuuuYb29nauv/56/H4/P/vZz9i3bx9jY2MkEglefPFFkskkF154ofos6UKWy2Vqa2upVCocPnyYsbEx6uvr2b9/v7roer1eJWdtaGjA7/fP+r7SMT7bJT4/mUyG2tpa5S8jvj6AAhULhYIaNMpAIJPJqIuzDEbz+by6mNvTEWUCKnIc6RRms1mGhoYUU6ClpYWDBw8Si8UYGRmZFf5i38fFa2ZsbIxnn32Wxx9/nL6+PpxOJ8uXL+cjH/kIzz//PIlEgmAwyN13331Kx4hpmjz00EM8/vjjTE5OKrlxfX09CxcuPOPk6NHRUZ544gm2bdvG8PAwsViMUCikvMyq1SqLFi3izjvv5I477jhrCXiWZSmm6dTUFMlkcpakJxKJKGPwE1WhUOC5557jJz/5Cfv371dm9cFgkFWrVvGBD3yAyy+/nGAweNYnjdJgEMawsDTFl1AGsMKWEsn0m5EieLbLsiw1uBeZ9NDQEJlM5nVgg3h8iSfsqlWrWL169RlL/E9Ue/bsIZvNomkad91117yv+elPf6rM4W+++WZ8Ph+bNm3iwx/+MK+++ipHjx7loosuIpVK4XA4TokZ+N3vflcZxf/Zn/3Zaa3z3//939Pf3w/MeFXefffdp/xembjMvX3xi1/kRz/6EYVCAY/Hw7333stNN910St5xJ6uFCxdy5ZVX8pvf/AaAI0eO8OlPf5ovf/nL6jWappHL5fjxj3/MSy+9RKVSUUC7ruv4/X6uvPJKbrnlFhKJBIlEYpb/o9frVZP/SCSiwEhA+TGKHHVuORwOotGoui6JD2Mmk2HTpk08/PDDHD16lP7+/nml1jJRXLRoEatXr+byyy8/KbgioNxckO6tfGz/e77enjoRMHkisNL+940wXQOBAGvXrj0he1KYkz09PQwNDc2SdUuTWYBJadYmk0l6enpetyyXy6VsCSQZvampiY6ODlauXHlGTc43WvMF3kgTWULnhKk3OTmpgm7K5TLj4+OvAyLFe1WWK2EoYn0iDErxMpRzUtUwcfsDuA2LUiZDf7ZKwK3R5tIxSxaW04Npgccsox87bC3dCWgz/osaoHupVC0qZgkNC50Zf0Z0cKBh4cKwKhRxM4oPj9uNkxK1TnAaBg4sZpb4GrtRs2ZuMwuycABOc8YU0h+O0VG3gEh9FN/wIbyZUQZKXlyhKA21Lpp9Br5wGGdDGw0NDRw9elQFOcLMONmu6BJbk3K5rFiRlUpFAXPimxmPx9X4S1imoVCIcDhMS0uLsrlIJpMUi0V8Ph+xWIxgMMjk5CTJZJLOzk5M02RgYIByucyRI0dUCFepVMLv9yslydTUFJlMBoBoNKo8H10ul5JKi0w7kUiQyWTw+XyqiSYAoMGfh40AACAASURBVIRPer1eMpkMe/bsUb7sMvZeunSpko4LK7lQKBAIBFRQzPT0tAorGhwcVMCsx+MhGo0qBUVtbS0jIyNYlkUmk8EwDEKhED6fT81lpMnr9/tZtmwZhmEoCXUikcDlchEOh9V2FmDwD2kufrI6Dzqer/N1vt7xVVtbi8/nUx3X5uZmRd2vra1VCXpOp5OJiYlZJsmxWAyv16sm1EePHuXRRx+lWCxyww03qM7brl27SCQSvPLKK1SrVa666iqWLFnCH/3RHxEIBNiwYQP79u1TPpFbt26lp6eHCy+8kBUrVlBbW0sqlVLmyJKuZpomR44cURPrYDBIfX29khBMTU0pxqR4lJztEk8T6VYCyhB5rrx57vvmTsplACoXaRmACiNApDqSzO12u2cxH8WnUgDIwcFBtU1efPFFJiYmWLhwIW1tbWoQKxLzZDLJpk2bePHFF+nt7Z0VIhSLxXj++efRNI3rrrvulNgNlmXxm9/8hu9///uMj4+j67piAHZ0dPCnf/qnNDU1nfb2PnTokJJTi1+Oruu89NJL9PX14XA4WL16NZ/5zGe4/vrrz9pvns/nVUK6pIeKFDIcDs9iKh2vstksv/71r/npT39Kd3c3xWIRh8NBLBbjiiuu4IMf/CArV64862ENwmYU03UZ3NrZjMKiiEQiBIPBk6ZqnwslNg5btmxRA2tJlbSXw+EgGAwqNtiqVau45JJLiEajb/o6WpbF1772NSzLoqamhve+973zvu53v/sdgApggBnmzMaNG7nnnnv40Y9+RCKRUIP+z372syf83A0bNrBjxw4sayYx3Q6+naw2bNjAv//7v6tJxbe+9a1Z32e+c5f9NpfVB/Cd73yHhx9+mHw+j9vt5s/+7M/48z//c9UEmnuTz5qPXX6823/7b/+Nffv2qXPbrl27+Pa3v82nP/1pAH7961/z6KOPKtbRyMiISjINBAL8yZ/8CeFwWBnha5qmQlSEnV4sFl8HRs7HvBPrEmEyShPKsiw2btzIli1bOHDgwOtYjPL+SCRCe3s7HR0drF27VqWE2j9D9ofjgX7ncslk3v73jTw3d7lz7x/vf6fymvleN7dOxKCc7/GZvEcez3cszH3Ofgza9wmRNZ5pzQdE2oP5jvfcybbfqTInh4eH6e7uZnBwkJGRGS+/0dFRxR6UtN50Ok06nZ51nAIK0JAwPgl3a21tZenSpSxYsOBNaTzNVxLUIecKQIEx4ustCcrSHDkeECkBbsLgC4fDKkymVCop+axpmsrSIxQKMZkYw8gmMcxpYKax7cTCcUwEbTrcWJYDJyY4dCpuP4anBme5iKOkYVYrVK0KTmb2rzI6BhouzUXOsDB1jVSxTKujQg0mHix0kVWD8obUzBlQxTRA0y1MNAzLwkAjbeo43G4iTp1gKYyLHImMQXl8nHTaRVdAp1DrwBPw09raitfrVWGXw8PD1NTUMDk5qbaRECUcDgfpdJpAIKAkymK94vF4GBwcJBqNqoBNacAGg0GcTqdqzGazWcbHx1UApTTxRY3V0dHBokWLOHr0KNlslv7+fjUWlrmVKMYqlcqshHM5bkul0iz5dLVaVd9JwgrFA7JcLitpcrFYZGxsTI0/Vq1aRVtbGzAzphVljoCd+XxeyZ8F3D906BCZTIZMJoPL5VJBPX19ffh8PhU8KsE6mqbR1tZGY2MjU1NTHD58eJZPZkdHh1KbTU9Pq7RvUWTBa2Dj8YIu/xDr/JY4h2u+Qe/5Ol+nUqZp0tvbS2dn5zk/6T4bVa1WCYVCFAoFBgcHueSSS+ju7mZkZIQFCxYwODiIaZrKXySZTNLb28v09DShUIglS5aoTu3ExAQHDhxQF7v3v//9qru4c+dOkskk27dvV0yrlStXsn79egU8ut1uenp6mJycVH4n2WyWK6+8knXr1lEoFFQSZyKRYHx8XE3CxUBbLvTT09OMjIywb98+ampqlCxUbtIdnptkbf8r3ovzDZjFo8geNCEDEa/XS19fH52dncfd7vK581H97VJqYUNKiMf09LRihSaTSSYnJ1Xqnt0IWiYhqVSKXbt20dvbi9vtZuHChbzyyisKEIYZlsGRI0c4ePAgAwMDVCoVWltbufbaa7nhhhv4+te/Tj6fJxaL8YlPfOKU9qu+vj6++c1v0tfXR7VapaGhgba2NhYsWMAdd9xBe3v7KS3Hvk22bt3Kb37zG/bs2YNhGKxevZpsNsszzzzDyMgIXq+XK664gnvvvfe4MtbTrXK5zNDQkEpCz+fzhEIh/j973x0cV33t/7n3bq/SFu2qdwlZ7gVsOgabGBM/AiQkpJEZJySTTDJpb8K8DHkvv5DCeymPQDJAHgm8OMFAYCCPYAw2xo6NccFNtmVZvexKq+293b2/P8Q5rIRky6bEBJ2ZHWlXV1vv3nu+n/MpFRUVHOBDTNaZKpFIYMuWLfjLX/4yCWysqqrCddddh4997GNs8l38es/3OERsRpLuk1k5SV+IzUghUBQE849OGD1bpdNpnDhxAq+99hqOHz+OoaEhbmapBEGAXq9HWVkZGhoaMH/+fKxatQpVVVXvmdTwTJXNZjmEo7q6ekZAmeRMl1122aTb9Xo9Hn74YVx22WXMkjSZTLjhhhvO+LibNm1CLBaDSqXC1VdfjUKhcNYQI1mWEYlE8Ktf/YrlXatWrcKKFStY3jXb3oqkYpIk4dlnn8WDDz6IaDQKnU6HT33qU/jVr371nnweP/jBD/Dd736XgbwdO3bA7Xbz8S2bzaKrqwvZbBY2mw2SJOHaa6/F9773PQAT9hxHjhxhq4Px8XEsWbKEUzopQIIY6WScT/YDlNhbzGrq7u7Gb3/7W3R2dmJkZORtUmlK725oaGBj/6msKGIin29NBevO5bqiKBgYGOBj0Wz/f7rfi3/O1XtbswEmz3Z9amAeff/PFbxUlImQtLq6OqhUqkn9lUqlmtSPnKnOFo4Ti8XQ19eHU6dOYXh4GGNjY/D5fJMS4bPZLPx+P/x+P6fUU4miCL1ez8Nakm43NjaitrYW5eXl7ykoKUkSg4IWiwVut3uSl3gxEEnBJiRdJSsHOvYSo5pC3mpqargfoOG2TqOGbiQBVSwAFArIC28yGt8EEWVFAQoK8gKQ0xqRNtpRgAgtJEiFAiQFyOUV5JGDBBFZAFooyAIQJRGqfAalioK8IiMHGQZJgCBPeEJOJGJPFH3yBUwAjwUokKUCwnlgNCsgEQxBLYkwihKUgoIquxXecBxCKoZRfxbhhIIErBDeZKwvWLAAg4OD8Hq9iMVirBZKp9Mc4kZDslAoxCw7kmSTrzX1e6WlpZzoTsNmtVoNs9kMq9UKl8vFA2kATMbI5/MYHh6GyWRCTU0NRFFELBaDIAgYGxtDRUUFUqkUCoUCgsEgD3speEmv10On0zFAl06nIQgT/vN6vR7pdBrhcJjP7QRYp1IpPs/QtkajkS2pstksLBYLUqkUampqALxlTeXz+TiQZnh4GNFolMNgJEmC2+1GLpdDJBJBKpWCz+eD3+9nhqTFYsG8efMgiiInV4dCIYiiyEnugUCAe1SylXE6nRxeQ4PH9wJ0PFsvdKHWHOh4ARd5XczVXJ1r5XI5jI+Po6qq6l1nHF2IJcsyS6V9Ph/WrVuHv/zlL2wA3N7ejkOHDkGlUmF8fByhUAixWIxlCHV1dVi2bBkOHjyI/fv3Y3h4GN3d3Xj++eeRz+fxL//yL9BoNBBFEceOHUM4HMaxY8cgyzKSySSWLFmC9vZ2lJSU4LHHHkM2m4XX6+VJ4f79+3nKu2LFClx22WXwer04efIkBEHgNEWa4FosFm7AhoeHmQFJvjgEgkqSxObLU6f01AhTM0yJ0cSuJFkznRjJ/JuYbplM5h3tQ6IockIeldPpZCCSmh/yWSGGKE37CYTN5/MYHx/H0NAQ8vk8LBYLQqEQduzYAYvFArVazUzNwcFBnlQS8+6jH/0ohoeHsX//foiiiI9//OOwWq1nff7JZBL//d//jcOHDyOVSqGkpAQ1NTWora3Fxz/+8VkxJYtLlmW8+uqr2LNnDzo6OqDVajF//nyMjY1h27Zt8Pv9sFgs+MhHPoJ//dd/RWVl5Tm/59M9JjGaSPak1+tRX18Ph8OBsrKyswbEJJNJbNmyBZs3b+awJEpgv+GGG/DRj34U5eXl0zZW53McymQySCaTLJchRqMsy2w9oNfrYbfbufm7kJuveDyON954A3v37uVF5NQ0aUmSYLfbUVlZifnz52Pp0qWYP3/+22wV/lE1NDQEn88HQRBmBMI3bdqEbDYLURTxta99bdpt7rjjDnzrW99CIpFAS0sL9Hr9jI/56quvYvfu3ROsFZUKt99+O7MUCDic+pPe03vuuQdHjhyBokwEE9x3331vS0QuBhTpUnzcLJZibt++HT/+8Y8RCASg1Wpxww034KGHHjqft3JWtXz5cqxfvx7PPvssgImEzLvvvhvV1dXI5/MIBALQ6XSw2+2oq6vDPffcg8WLF/PxsrS0FNXV1ejs7MTRo0cRj8exc+dO1NXVYcGCBW+zg6BAmGKWcyKRwDPPPIMjR47wgI7eN9q2rq4O7e3tuPrqq9Hc3Pw2hsf5AHtnA/vOt2h4odVqPxQ90T9LFe8D77RmAiKLr890OwBm500N0pr6fNVqNdRqNTO3zhV0MJvNWLhwIRYuXDjt38fGxnDy5EkMDQ3B6/VOAiWJRUhqEq/X+7bnR3LSiooK1NfXo7W1lT2A3yswko6x5O9YDEQSGET+sQQcpVIpDrnT6/XQaDQ8fNfpdPxddjqdEI0SpN44pIgHipyHBCAPCcqbwKOQz0CQJEjZDARdHnqVCMVgAtQSVDEFgqAgr2iQLxSQhhpSIY+CIEJUFJSoFKigQJELMEuFCd9HCRDkt5iOWbzFeMy8mYItK0Aqp2AkX0BPMA6zoIfBYIA/LwI5EY0mBa4yM8JxEcOJHMZzInyDgygvL2evxubmZlRWVjLTjgauwMQxjXzQC4UCMpkMdDodamtrkc/nGVAjgIpYjDRgJmm23W6H0WjkcJdgMMi2NQ6Hg5m36XQao6OjqKyshFqtZrA4n89jxYoVyOVy3GdSeCdJpUkRFIlEMDw8zOnUFosFNpuNB2EENJL6SRAElJeXY8WKFZAkCb29vQxem0wmPi/RAJrOYfTcaB1DAwayAFq+fDl0Oh3UajW0Wi0CgQDUajWSySQURYHdbkdtbS0HzJBnODEg6fhAzF3qU6xWK68VFUV5z8LLihO0P0g1BzrO1VzN1Qe+iF6fyWQwNjaGuro6uN1ueDwe7NmzB8uWLUNtbS0DgWNjY5wIZ7fbYbFYYDAYsG7dOmg0GuzduxcDAwPo6enB888/j0wmg1tuuQVXXnklJEnC0aNHOQWZkvWWLVsGURSxcuVKAMCxY8d4Ek1BEE8//TS6u7uxaNEitLS0oLW1FQaDgU/QWq0W2WyWp4FarZabQJpsezweXhxTc0uNLSUCTl000/bknUgnWp1Ox6m2Go2G/YZo23ebbV3ckBsMBk7Grq2tRVtbG4LBIHw+HwYHB+HxeFiSPTo6ilwuB41Gg8rKSvaIjMfj/D5QgyXLMmw2GxYtWoR169ahra0NX/7yl1lqfeutt87quW7atAkvv/wygsEgdDodysvLUVtbiw0bNmDFihXntBDK5XJ45ZVX8Pe//x2nTp2CxWJBU1MT+vr68OqrryIcDsNut+O2227DN77xjRmTJWdb5NvY39+P0dFRZotVV0/4BTmdTjZzn6nIs3HTpk3o6upCKpWCJEmor6/HunXrsGHDBrhcrndliktSnmQyyR5Y5GFICw2j0cgycDIevxArEong2LFj2LNnD06cOMFpwsUgo1qtZl+iRYsW4dJLL0VNTc0F+5p+8Ytf8IBGFEXcd999+NznPjdpgfrkk09yQ08Jl1Pr/vvvZ5bDpz/9aSiKwhIlOt4QgPjwww8z4+WSSy6BVqtFMBg8a6O9d+9e7Ny5k5kYGzZsQFNT06RhDAGMs6nOzk58/etfx+DgIFQqFS6//HJs3rx59m/eedZ3vvMdbN26FYcOHWKGS0dHB1QqFRobG2EwGHDHHXfgq1/9Kv8PDXqoVqxYgQULFmDfvn081Hn99dexfPlyVFdXvw3Q27lzJ3bv3s37LYWAARNsjbKyMlx00UW48sorcdlll/FnRYEHBNZIkgSLxXJGUHmu5ur9rmK/x3MtGtSOjIywVx3t+wSe0feFmIjka1rc9xT3a+d7vHe5XHC5XNP+LZ1Ow+v1oquri+XbXq+X06inSrePHz+Ov/3tbzCZTCy1ra6uZsk22SO8F2BkMRBpNpsnAZGpVAojIyMYGRlBOBzm4wux4migTdvrtVpozC6o8xkoch7xbAaSnINJyUKtTAB1BUWAJGdhiXohqtSQS9zIVzRCDvugivgh5rPICipIBQViJo00JIRFPUyFNKRsHFYJUEPhpOoJ/0cgJQNZSYIEeYL2qJKQkAVIQgEJQY0hWYtoKg0pmZywK3JWIxAKI+d0Q1KJsNUaoJIMCPR7YX8znEeWZbjdbt5fli9fjpGREfagp/2OPDBpGKtSqRAIBNgPVK/Xs986pSsT41Cr1SISiUBRFJSVlXGvVQxqiqIIl8vFAHYoFMLJkydRV1fHQGYymcTrr7+O5uZmOBwOCILAigO6L4/Hw4oam83GoTPEkC8vL+d+P5VKQaPRMGhH+2NLSwtEUcTg4CDvOxTWQoxNRVE4bIfWCAaDAYqiMLBYXl7O641iljJZPUmShKqqKuj1erbCImKISqVCc3Mzq7vou0ShahqNho8xsizPSaun1Ny7MVdzNVcf+KJGSaVSIRwOY2xsDAsWLMDIyAiOHTvGMjOtVotUKsXNJy38jUYjA5HXXHMNNBoN9uzZg97eXvT39+PFF19EPp/HLbfcgquvvnoS8Hj8+HFks1kOA7HZbFi9ejWam5uxf/9+DA4OsqF4PB7H66+/js7OTlRWVqKurg6LFi3CjTfeyCdTr9cLk8nEC3ECICVJgslkmsRqLJYiE7AxNaEaeEuqStJpo9HIoGMkEsHAwADLHUi2IQgC+vv7YbVa4XA4Jk3tCdx8pyAJPSaZijudTtTU1KC5uRl+vx+nT5/G9u3bEQ6HoVKp4Ha7WcIrCAJPF2naKooiysvL0djYiA0bNuDiiy/Gtm3b0NnZCUGYSIedTerboUOH8Mc//pEBXqfTicbGRlx33XW44oorzinEJ5PJYNu2bfj73/+Orq4ulJWVoaamBqdOncKuXbuQSCTgdruxceNGbNy48R1PL0lOMjw8zIntLpcLlZWV7Pt2pkVXoVDA3r178fvf/x5Hjx5FMplksPHGG2/E+vXr3xWwUVEUpFIpTkknmVUul2M2BJmJX8hAYyqVQkdHB3bu3ImOjg54PJ63MRm1Wi3Ky8vR0tKCJUuWYOXKle9qEvl7WdlsFrt27QIw8Tp8Ph9+8Ytf4Pvf/z4cDgc2bdqEVatW4ejRowCApqamScAXyb/y+TweffRRHvbMmzfvbSwcqsOHD2PHjh3ctN91111QFIWZrgQeTvfzscceQ09PDx8LnnzyyfN+7X6/H3feeSdOnz4NURTR3NyMLVu2nPf9zbaSySR++ctfIpvNQpZlDgyg9zUQCGDLli3sa3Wm0ul0uPLKK9HX14eDBw8ikUhgx44dMBqNSCaT6OnpQXd3NwYGBt7GBjUYDGhqasLChQuxdu1aWCwWPu7H4/EZH5PkfiTrm1t4zdUHvYpZ0DOxZWmIQoAHXYqByOKaCkSq1ep3fI7T6XSor6+f1hanUCggEonA4/HgyJEj6OzsxNDQEH9XvV4vRkdH0dXVxYM+SpA2m82sLqiqqkJ5eTkuuuiidz2crRiILC0tRV1dHVtBkGd7JpNBIpHg4bNarUY0nsAATAhrXdAngxAlFUTkUMgVYBEU5AQV1AKgLsiQ8mmgoIOcSiCrMkDtboJgsEDlH4ZOFKEIGqQsasRVRvgkC1L+ftQqeSCXfcu/EQIETEis1ZIABQXIsgBFUiGJCVm2BBEpWYOIZIBcUDA+Pj7hc1lSgrhkgN9aBZNOC43BCJVag2sa2nD69Gn09vaiUCjA5/Nxunk6nUZlZSWsVitGRkZYCUmeheRrbjAYGDwjH2gauMmyjEAggFQqBafTydZFtJ+aTCbenjzkaUjY2NgIk8kEjUaDcDgMn8/HwSmpVAp+vx+vvfYaWlpa0NTUhNLSUkQiEbb0kSQJ4XAYLpeL96F4PI5CoYCysjL2YBwbG4MgCNyn+nw+9jl3Op1oa2tjZiz1AwQqjoyMsDqEQHli9oqiiKGhIZhMJlxxxRXse6xSqZBIJCalfGs0GtS96dlIHvzhcJiZmVVVVazSAibsEIxGIyoqKiax/acDHfP5PPvDU6DOh6nmOoG5mqu5+sCXJEmorq6GyWTihdTSpUuxY8cO+Hw+bN++HUuXLkU6neZmipI4a2pqYLFYEIlEeIJ41VVXwWAwYMeOHTh9+jQGBwfx4osvQpZl3HLLLVi9ejVUKhWOHTuGQCCAI0eOoKenB83NzZg/fz7a29tRUVGB1tZW7N27F/v374fX62UfEvIQGR4eRiAQwPj4OObPn4/W1lYsWbIEoVAIHo8HHo+HvVCITVKc7icIAlP5CWCcKkmjZoTuJ5PJsFSVGjxqpEkeSY1If38/s80IpNTrJyQiBoMBpaWlMBqNDEaej5SIqhiALCkpQVlZGX8mJpMJTqcTK1asgFar5ddAC/LixO/6+nqsX7+epUmPPvooFEVBW1sbrrvuurM+j3g8jgceeABdXV3MmmxqasIVV1yB66+//pya7Fgsht27dzPDkUDTo0eP4vXXX0cqlUJ1dTW+9rWv4fbbb39HDQhJ+ikoJpPJcLJxeXk5G4efqY4fP44//OEP2LNnD6LRKARBQFVVFW644QbcdNNNM8qoz6VIPh2LxXiynU6neR+jRF1K077QgEZZltHT04MdO3bgjTfewODgIOLx+LQgY2trKy6++GJccskls5L0X4h17733YmhoCMBEI7137162ghgdHcW6devwxS9+EYFAAABw7bXXcuqmLMuT3pfe3l4oisLHRrpPOgYRcLhz505mOS5cuBCrV6/GoUOH4HQ6zwjK33///Th58iRSqRREUcTnP//5837dyWQSd999N/bt2wcAqKqqwssvv3ze9zfbGhgYwI9+9CN4vV4kEglmTRgMBmZ92O123H777Whra8NNN92E66+/ftKiaSrokc/ncfr0afYSHRgYYBkZ+W0B4MFOU1MTli9fzuniU5krxcd7q9UKrVbLn50gCGyNQNI2Cniaq/OvqZLf6QaM1AOcKbCo+O/T/V78eFTFIT/FP6cLqZnub1P/PpNkejZye+CtIJiptxX/7Uxy/dlI+ouvz5YZWcxoLK7pgEjq56baaBWzrvR6/bsqzRRFkdUC7e3tACb6hqGhIQwPD6Ovr4+DzAjoC4VCKBQKMBqNfKwoDjQ0mUycaO9yuVBfX4+6urp3DYwk8Ivks8SkVqvVSKVSyGQyiMViE0P9mAVhn4K8Wgs5m0YqmYJSkJHNhgEUYJKADBQYRBXykCDnMlACI4iWNcKqM0G0OKCYbIC9CmlFhZTKBG0sCqOUB4aDkBUtcnIWUBSokcdbn4wACQIgARlZhiBpkIIEEUBCX4JUwQJkJhh0FKQYj8dRU1MDg8GAfDrFQSxtbW2oq6vDkSNHOOxvfHycw2CoT6IkaWL3ke9gMplkaS/wlt99SUkJn1MpNIXCZURRRCAQYLBZrVaz+oRCIPv7+3ngR2nVwWAQ2WyW5dnxeBw9PT1Ip9NoaWmB0Whk5mMoFIJOp0M6nUZNTQ0uuugiSJLEIWRlZWUsa+7v7+dAUK1Wy6FpPT09/P4MDw8jHo8jm82yl6Qsy9BoNHC5XCgpKcHo6CiACeson8/H1iPE0s9kMvzekVcmvZ7W1lb2kxQEAeFwGIIwkaTe0NDA8nDyWDUajXC73W87HhX3y8SYBN55GNYHteZAxwu4LmSfqrm6sKs4ee/DUjabDW63G93d3Th69CjWrVvH11999VU4HA7E43GWfdlsNjQ3N8NmsyGRSMBisSAejzPjkQAuSZLYPH/r1q2QZRk333wz1qxZA5VKhddeew1DQ0MchKLVaqHX67F8+XJml9XU1ODVV19FV1cXPB4PkskkgAnfkYMHD6K3txcdHR1obm5GY2MjGhsb0dDQgPb2dk5u83g8GB8fZ8BtasLnVPN08rAiZmLxxK94v6DtKeAFeOvYQxM+Yj+SgXdxU67RaDjYhpIHjUYjN0fnC1INDAygu7sbPp8P1dXVuPTSS3HNNdfA4/FgYGCAGzKz2cyelS6XC6tWrcKCBQsAAE888QTLIu+8885ZAViPPvoodu3axbKMmpoaLFq0CGvWrOF0xtlUIpHA7t27sXPnTnR1dbF/0oEDB7B3715kMhk0NjbiG9/4Bm6++ebzBtdkWWbZvcfj4alrZWUlAxRnC1fxer34wx/+gK1bt8Lv9wOY8N9cu3YtbrvtNmYRn2vRvqYoCmJvyoYIaIzH4xBFETqdDg6HAyUlJSgtLYXVar3gpr+BQAC7du3Ca6+9hlOnTvFCjEqtVvMU/pJLLsGqVavet/TQ96oCgQBuuOEGHDt2jG8jJk5lZSXcbjf27duHdDqN//qv/wIwAbbefPPN7BFIJUkStm7dyizzj33sY3A6nTPKnHfu3MlSpi996UuzPp9t2bKFWRFNTU245557zvv133fffXjiiSdQKBRgsVjw3HPPwel0nvf9zaZeeuklPPzww4hEIjh+/DgURYHD4YBWq8Xq1auxbt06/PznP0cwGISiKDhw4AD279+Pn/zkJ7jooouwbt061NXVIZFIoLOzE8ePH8fAwABGR0f5vQcw6TxgNptRU1OD6667V1umWAAAIABJREFUDuvXr+eFffG5pVhGOjWNmIZFxWU2m6HX6xGJRBgUoMHQP6re7Z5oOi/AYrn5TF6B0/29GECcCh4WX5+rc6upwGExIDk1nXrqbcX7Cf2NPNwo1GOqXcNM+1ZxwjNVsZ8hXYgRTgyrSCTC/aRWq30bIPpulEaj4Z7ziiuuQCKRwNDQEPebpNAZHx/n0EFiqJFagdQyxUUhNvX19WhubkZra+t5qzjIjoR6CPKudTgcKBQKbNMDALK8EGOjXqTjMRQyGWS6DwBRAdpsDIqcQ1aUEM8pSBUk6JQcMDYCVU5G3GCG5KiD6KxC3lEDvSjCGA5DlCQgqIKkNyFXyCOhqGGREwAEKFCQhgoZqKGFDBEF5FU6DOYl5BUBao0O/bIOkk6PEv1EAIooim8CiT6MnzwEi88MZ2kJBI0WirUMgUwZdHo9Vq5cia6uLvT29iKZTCKTycBkMnHqcnV1NftdkpdgIpFgoJD2G0mSWMpMvTL5ZI+Pj8NiscBkMiGXy8Hv9zPLlGTLdPwh2yfyfi8pKYFWq0U4HEY4HEZ1dTVkWebPaGBgABUVFaipqYHVakUsFsPY2BiDxcPDwygvL+fvXyqVYt/HTCaDQCDAHuSVlZVIJpMYGhpi646ysjLodDruJysqKpBOp6HT6ZBMJtkWiQB/v98PtVqN+vp6lJSUIBgMQq1WQ1EUVkrFYjGWVjc2NnLiOgWMFgoF2O12OBwOeDweAGCfTaPRyEGGKpWKQUW1Ws3+9cXha++0z/2gru3nQMcLuGYjA5yruZquyAPkg3pgOp8yGAxoa2tDf38/PB4PEokEli9fjv7+fgwMDOCVV15BZWUl4vE4zGYzqqurcfnllzP4EY1GWXI2Pj6OQqGA+fPnc8N54sQJeL1evPzyy8jlcrj55puxcOFCjI6OcmBHKpXCiRMnOD1w3rx5cLvduOqqq2Cz2fDSSy9BrVYjHA5zkAtJ0fbt24fjx4+juroatbW1qKysRFVVFerr69lPEADT/anBIJkJMRqLT57FMvJi0Ki4eaUGjvwcqQqFAhoaGrghoIaJGJL0u16vRyaT4aRY+iyKQUi73c7T6tmAV4ODgzh27Bj27t0LSZLQ0NCAT33qU6ioqEBtbS2am5vZo4hMnrVaLZqbmxlwjEaj2Lx5MxRFwdKlS7F06dKzPu6hQ4ewefNmlj+UlZWhra0N119//RlTvKdWKpXC3//+d+zYsQM9PT1wu91obm7GwYMHGXBsamrC97//faxZs2bW91tcNKGl8CR6zpWVlaisrER5eflZPdXi8TiefvppbN68mRPezWYzrrrqKnzmM59Ba2vreYPGiqIgl8uhrq6OJVyU0qzVamG1Wlk6RCmKF0rlcjkcP34cr7zyCg4dOoSRkZFJ0jhRFFFWVobm5mYsX74cl112GTfMH/SSZRkPPfQQ7rnnnklelCqVCosXL8ZXvvIVLF++HABw4MAB3HnnncwooGMQSWppQS4IArZt28Z+S5deeumMn/eBAwcY6HQ4HLjzzjsB4Kzns02bNuHw4cPM1v6P//iP834PHn30UfzhD3/gpOpvfetbzPo73yoGFGghRD9lWcYf//hHvPTSSwgGgxgcHIRWq+Wwh29/+9ucdvvTn/4UBw8exAMPPMD3HY/HceDAARw8eBBms5kHU3TuEgQBBoOBQYCmpiasWrUKer0ex44dY1CLkkjP9J2nIQdJx2YKolKpVLDb7YhEIszsea9Bx5lSi+nS3NzMoMVUkPBsQOHU+50Kvr6fVRwaVwyYTcfwK74Uf3+mC/uZCmpNBd6m1lR2I1Ux23Gmv029Xgx0T2VeTmVpzvR/xden/n3q9eJeZ6Zt6D0ofr8rKioQCAS4/ymWRNM2U4OpplpAFN9e/J0g9mNxIi5JZ6d778/2WZ9tm+kuJpMJ8+bNQ1tbGwNNIyMjGBsb4zBE8v1OJBLIZrPMOCPlSaFQQDQaRTQaRW9vL7Zt28begBUVFWhsbMRFF10Et9v9ttc1UxHLTKfTsQd6MBjkgEQCQFOpFCoqq1hNoTesgjDYAZ2vG6p0HLmsjLhaj2BBDYMsQyUZ4Y/mYc8nocuPQpfJwZyKQ+uuhrWmBpFwGOLocRiVNNSFNCAqUAoAFCAHERlBg4wiQC28mZQtqaDSmJHMyuhPKYiZdJAVBUKhwOnRyWQSS2tcsKZCgHcc2YgBFpsdKOShAJA1VUgkEpg3bx6qqqrQ0dGBQCDA7Dq32w2n04mSkhL4fD4MDQ0hk8nAbDYz45Aex2w2I51Ow2QysR2R0Wjk4zd5j5aWlvL+Tv7Z1dXVHFITi8X4s9BoNExUIEBOURTU1dVBq9UiFoshFApBkiRoNBosWLAA0WgUZrMZ4+Pj7M1MgY+0v6jVagYUAXCiNREYCBAnZZbdbudUaUrWHhsbw8jIyKT72r9/P2KxGOx2O1auXMme9nq9nq23kskkf6/dbjckSUIymYTP52OfSUmS4HK5MDY2xmnrkUgEoijCarWyLRUF0qTTafj9fg74oXK5XO94sH4h9cvnUnOg41zN1T9pfZgARwAoKSlBQ0MDbDYbQqEQurq60NjYCLfbjf7+fhw5cgSpVIp9SVpbW9HU1IRUKsWyv2g0yow+mmy1tbVxg3j8+HGMjo5i+/btiEajLJ00m83o7+/HyMgIMpkMOjs7OT2QZCxGoxFXXXUV2tvb0dvbi56eHp7mkZQ1m82iq6sLfX19MJvNqKiogMvlQlVVFVwuF2pqalBRUQGbzTatkThNOUlm98orr2BkZAQrV66E0WiEz+fj1O5i9oRGo4HRaOTmmSajiqKwXySBLsULrnQ6jUgkwsCCSqViA2gK7AHAi9PS0lKUlJTA6XTylHHqgs7r9eLAgQPo7OxEJBKBxWLBNddcg9raWgbVXC4XotEoL64zmQy0Wu2kxOc///nPGB8fh06nmxXLMZFI4IEHHkB3dzey2SwbV1955ZUcEjSbymaz2LlzJ7Zv347u7m643W60t7fj8OHD2L17NzKZDFpaWnD33XfjmmuumdV9TvcYw8PD8Pv9GB8fRzKZRGlpKcu3zxZEUygUsGfPHjz44IPsSarT6bBixQp89rOfxcUXX3zeYGM2m50UCEMAO4UHkUej3W7/hzKfplYoFGIpfGdn59vYjNTULl68mD1bP8jH2Kn+Y/R7oVDAn//8ZyiKwn5O8+bNw29+8xtUVVWxJEulUuEjH/kIent7OQ0TANatW4e77roLX/7ylyftQ6+//jqzUihsa7p68cUXWSJ200038e1ne6+feeYZjI6OQhRFLFu2DJ/85CfP63154YUX8Kc//Ql9fX3QarVYvnw57rrrrhm3LwYKSNpMXrv080yhXPF4HI899hhOnTqFkZER+P1+TiT91Kc+hVtvvXWS2b0kSdiwYQMWLlyIH/7wh2xiD4CHSGq1GiaTCS6XC42NjVi0aBHWrl07rcS5trYW+/btw+joKE6fPo2hoSEsXboUdXV1b9uWBh2yLLM9ydk+F7PZzIm6NLiaKgMu/klsyukkxDOBgtNt937VVJbcdIw5Oj/Ohl033W3F0uEP8jHnva7pZODF+810+89MtxXf51SAmgYIJM+k3odk0WcDFIp7JRrG0udO181mMzMeKSBvOnD1vapiILKiooKDGqPRKAKBAEKhEIMrJPulIBIKgsnn85xKTZ6RXq8XBw8eBADucWtqatDa2or6+vqzDko1Gg3Kysp48J5IJJDJZNjqhwC1ZDIJnU6HsEoFWVEAtRZi0AM9CjBkcsjKImIaIwaSQKnVjGgmCnU2ASTDiPiHAJ8XissHSz4BQyIIjVKAJALI5SCgMJFsDQF6yNCKAgSlAEVSQTFYIBicEFQmSBkFgXAKmjdBKQDQ6/UoczhgDw+hNJ1BHFr0ZUU4YklUSz6UlNqR0WhgMJkgiiJqa2tRX1+P7u5udHd3M7OUAttIqkz9skajYdUW9WLkeUj+3DqdjgMZiy0ziAVIlkrUUzqdTuTzeQQCAf5+EAuSfBu9Xi8HIjqdTpSXl8Pv97M6qry8HDabDZ2dnYjH40in07BYLMxOpHRyAJxIXlJSglwuB0GYSLAOBALcr4RCIX6OkUiEe/14PI5YLAaNRoP6+nr4fD6Mjo6yh2JLS8skMN/n8/F+RO/rvHnzoNfrGdgrtqhqbW2FLMsMOlKitdPphCiKTAChvpfYvaWlpRya82E+hs+BjnM1V3P1T1GCIGDp0qXYvXs34vE4Dh06hMWLF6OlpQV+vx/BYBAdHR0oLy/HokWL4Ha74XK5+ETc19cHAHzCyufzPMGjtDKVSoUjR45gZGSEPeluvPFGrF69GgcPHkRJSQmzLPv6+hCJRNDd3Y3y8nIGhJYsWYJEIoHjx4/j6NGj6O7uRjAY5MksAKb8nzp1Ct3d3RONSlkZXC4X3G43n9grKirY5yydTrM/EJ0wOzo60N3dDa1Wy2EMiUQCfr+fASE6eZJH4tRmlqTLJJOlC6UNU6NAzQgFg1ADTmzIfD6PcDgMACzrM5vNsFqtMJlMUKvVnK46MDAAj8cDs9mMtrY2XHzxxZMaeZVKxQl4FNpRzLjx+Xx44YUXAACXX345WlpazrjvKIqCxx9/nPcdo9GIuro6LFu2DKtXr541OJbL5fDqq69i69at6OvrQ0VFBZYsWYKjR49i+/btSCaTaGxsxF133XXegGM0GsXAwAACgQACgQA/V7fbjYqKirMueDweD377299ix44dPEmeN28ePv3pT2PNmjWTAKTZFjEcyFuJ0qcFYSKd0OFwsAn92VKz369SFAVDQ0PYtm0b+9wVB8BIkoSKigosWLAAl19+OS655JIPbBovsU6n+vxNt2gVBAH33nsvHnvsMYyMjHCCZktLy7SScb/fD5PJxMEi0WgUP/jBD3D06FH89Kc/ZUkyDSBoMDRTPfXUUygUCtBoNPj3f//3Wb2+F154Aa+88gp7Oj300EOz+r+p1dnZicceewx79+5l4/pHH32UBzV0KfZOLGZMna1ocUcgos/nw29+8xsEAgEedtAC/5e//CWWLl0643fF5XLh8ccfx49+9CPs27ePn4dWq8W3v/1trFu3blbPyWQyYfXq1ejv78cbb7yBdDqNPXv2YHBwEEuXLp10XCW5NDBxDA+Hw2dkqtFPSs0lRux7XdMxvqYD8qb7WzFbbab/mbr9XF0YVcw4fKd1NmCS5NEko5wKThb7ZYui+DbpPR2HKeG6GIAk9qRKpeI+iaq4B5sKqJ7rZbr/m/o4xUVgkM1mY0CLAjVIyRAOh/n1m0wmNDQ0YNWqVawGGh4exujoKEKhEILBIEKhEE6cOIEtW7Zwr9DQ0ID58+ejvr5+Wi9kQRBgtVonQMU3h+zj4+Mwm80wmUyQJIl/t9vtGBszI2gshdYxhoBvBEJBhqwA4aQMa0U5jGM9qEIKapUa2XweOkFBYbQXMVmBnI1ACYwgoTZCnc1CWyhALMgQVGqIuSykQg4KBGSgQkrQIFMAsjorguZySIqAckMMPp8Pfr+f2XCFTBp6tQSDokYgr4FKVBBIZKFPe1CQNbCUVEF507YiHA5Dr9fjoosugsPhwOnTpzEyMoJIJIJoNIrq6mpYrVYsWrQIg4OD8Hg8UKlUqK6u5sE8hVGS/7rFYmEwubq6GpFIBIVCgdVKlHBNYDGF2NjtdgYeRVFkWTcB7aOjoxgfH0c6nUZJSQmqqqoQi8UQiUSQy+Vgt9vR0NDAknFivxNQR7JuYGJ47XA4YLPZEI/Hcfr0afYUJXsDi8XCZIlcLgej0YiGhgYeoJJvPgHkbW1tTKAQRZGBRwIhFWXCzuTqq69mb8l8Ps/MWqPRiOXLl0OSJAYcyT/aYDAgGAyyvJp+t1gsyGQyrJz6MAOOwBzoeEHXnI/LXJ1vFQoF9PX1ob6+/kN1kCNpqN/vRyKRwGuvvcaS3Hg8Dp/Ph1wux9M7URS5SaFJtSAIDJio1WqWWldXV2Pt2rWQZRkHDx7kABmdTgeNRoM1a9agr68Phw8fRk9PD7xeL2KxGIaGhhjoJHaX0WhESUkJ6uvr0d/fj+PHj6OrqwvhcBixWIxPhtQYJhIJ9Pf3s5mzxWKB3W7nVF+ampPUxOFwYHh4GKdOnWIA7uabb0ZtbS2MRiNMJhMzWQgwIrk2TQqj0Sj6+/tZwjB10q5Wq1FWVgZBEFjKl06nOWGQtqfmtDihUaVSIRAIIBgM8gJBlmUMDQ0hHo9DlmVOzV69evWMXmokBZlamzdvZunNZz7zmbPuNx0dHdi8eTNGRkZYBrRgwQJcf/31s5YAEeD4wgsvoL+/H+Xl5Vi5ciVOnDjB7K3a2lp85zvfwdq1a2d1n8VVKEwEd4yMjHAgESUBUqrhmSqTyeC5557DY489hsHBQRQKBTidTtx000247bbb+PtwLpXP5xGPxxEOhxEKhdhUm+TTJpMJsVgMCxYsOKuv5PtRhUIBXV1dePHFF7Fv3z54PJ5JZuF6vR719fVYsWIFrrnmGjQ0NPyDn/G5FzHvpgKM0xUd46Z+N8vLy5FOp/HEE08AAD7xiU/MyJ697777oCgKLBYLfvazn+H//b//h3A4jM2bN6Ovrw+PPfYYtm3bhkwmA0EQzgiG0ZAFAA9Z6DWd6Xz2+9//nhl/1157LRYvXjyr94pYiLQQ+fnPf45du3ZxONUdd9yB8fFxjI+Pn/F+aAFGbJ/igQu9pyQ3ByYW9Lt27cIDDzwAr9eLjo4O6PV6uN1urFy5Ej//+c9n5QlqNpvxs5/9DAcOHMCvf/1r9Pb2IpPJ4N5778Ubb7yBr3/967MOcKmrq0NVVRUOHTqE06dPM5N6w4YNzFhNpVJve+9mU0ajkQGOYmBoOmCQ3s9i8G/qNjOBiMVhNlO97z6sPdFcnV9Nxyqdbh+SZXnSQKI4GIbARUEQOBhGrVYzCElgBw0xstnspGEdeYpPJ5d+r3yPZwNUTmUmp1IppNNp9n8k5lksFmOAkQbMV155JUpKSjiQra+vj3saAjB7enrwyiuvwGw2w2azoaamhgerNpuNPcrpfSJwjbz8SktLud8glpzVaoXHY4BsciAeDiEYjUEyqhEY9aCqkII2E0UuLaLUYICcF6CTRGiRhphLQ5NJQBIkqOQMUJChKEBeViCIaqhEERlRi5SkRVoRICgK4rEIBKMLojTBOBfFiRTm8fHxCe8/kwnj4QiMGhkWjYBwugBtIYOknId3ZASh5G60tbczk1yv1yMcDsNqtaK+vh46nQ59fX2IxWI4ceIEzGYzg4KCIKCvrw/hcBglJSXQ6XSsWCJf33g8DpVKxcGaer0eoVCIwyO9Xi8qKyuhKAr8fj9GR0cxNDSEuro6CIKAYDDIjHryUKSk80QiwaGZVqsV1dXV0Gq1HE5Efr+05qB1Du0nTU1NMBgMPLyWZZn9I61WKz+21Wrlcxs9Rnl5OTNdjx07xl74oijC4XBg2bJl0Ol0sFqtsFgs6O7uZqk4sURJWUZD9EAgAJ/Px8QGk8mEYDCIYDCIkZER9pUvLS2FSqViwJNCdDKZDNRqNcxm8zsOYSwuAn4/aDUHOl7ANTXVbK7maraVy+UwPj6Oqqqq8zZv/qBWbW0trrnmGmzduhXBYJBPlh6PB9FoFD6fD729vTh69Cja2trY4JtAF7VazUxGWZah1+vZw8rpdGLhwoWIxWLo6upCJBLB/v372dPjkksugc1mY2+P7u5uCIKA0dFRTiL0eDxobm6G3W5HXV0dXC4XWlpa4PF4cOLECfT09LBnCIGPBOKJoohsNovx8XGMjY0hn8+zv4nZbEZJSQmbjmcyGXg8HvbUevTRR9HU1MRgEE1dDQYDyxscDgfcbjcbIe/btw+tra3s+0JgZCKR4MV6MRip0+lQUVHB18kLkkBLkh7SCbNQKCCdTiOVSrE/JS3O3W43Wlpa0NzcfE4na7/fzymzl112GRobG8+4fTKZxIMPPoiOjg5ucBYuXIiVK1dyAvbZKpfLYc+ePfjrX/+KoaEh9vHs7e3FX//6V0QiEVRXV+Mb3/gGNmzYMOvXQpXNZrkZDAQC0Gg0qK2thcPhQHl5+Vn9XTo7O/HAAw9g3759bM59ySWXYOPGjZg3b945A4I05Q0GgwgEAiyb1Ol0sNvt7NWoUqlw+PDh91XuOLVkWUZHRwe2bNmCgwcPYmxsjAd6giCgpKQEbW1tuOKKK3DllVd+oFKmi/0Bi8MIpqviwUoxGDZTPfvss/z7mfwU/+///g8AUF5eji9/+ctYtWoVbr/9dgwMDGDv3r1Ys2YNamtrOWTrTAzfv/71ryzpvvHGG/n2M53PDhw4gC1btkBRFGi1WjzyyCP8N0VRJi3uySoil8vxYp/2he3bt2Pv3r0YGxuDJEm47LLLsGHDBgazikHEYmCRmA2zrXw+jz/+8Y945plnMDg4iL6+PpSUlMBqteJLX/oSvvrVr876vqiWL1+ORx99FC+88AIefPBBBAIBbNmyBbt27cKtt96KjRs3zup+VCoV2traMDQ0hHQ6zfsMld1uZxBlKqvsbD/J83Qq6Ph+1Ye5J5qrd6em24ckSYJer2cWPA1ai0HIQqHwNm9G6nPomDJ1QETS6jN9R6bzbzyTz+fZtiu+z/Mt8timEA6fz8fD6FAoxB58paWlaG1txZIlSyCKInK5HIaGhtDZ2YmBgQGMjY1NYkgfPHgQRqMRVqsVlZWVqKioYLsevV6PXC6HWCyGQqGAQCAAnU7HA3kqGuRkc3kYZAVjY2PQ6gzIeoMQs1GoVRqE0kmYNSrIooIE9CgpJCFl4lAXClAAoFBAAZhIxYaAlKBGVmuGXzDAnAlP9LiSjIFhD7R6PUubSSo8Pj6OQCAAfSIKW7UD+kQEbkFAXhIwmlFhvCBi1OOBz+9HQ0MDGhsbEYvFYDAYWP7rdDqh0WgwODjIlhzhcBhlZWWwWq2oq6vDyMgIJ1RbLBbkcjlOgtZoNNDpdFCr1ZMk2GTPkc1m0d3dzenR0WgUqVQK4XAYTU1NMJvNCIVCLPsn8I/Sm4l5Sn19Y2MjXC4XfD4fQqHQJNCYts9kMhgeHkYmk8GCBQvY5zGbzaKxsZHPtYVCgW2iyL84GAyiqqoK0WgUkUgE4XAY0WgUo6OjGB4ehtFoxPz581FSUjLpezk2NsYsXZJgV1ZWwu/3IxKJMHOUfB+dTieDpbIsIxKJQJZlDk2SJAlGo5HthICJYX8xQPpuFX2eH7SaAx3naq7m6p+qXC4X5s2bB4/Hg3g8zonMZWVlGB0dRS6XY19GrVaLG2+8kdmKxcDjwMAAA38Gg4EnfkajEatWrYJOp8PJkycRjUZx6NAhqFQq5HI5rFy5EosXL2YZAtHsY7EYDh8+jFAohPHxcQ6MKS0tZUlda2srTxVJRkGefbRIphMeSVhoYU0nXDqRU/NAk82Ojg54PB6e1hHYOJXpRBdgQoqbyWR4Ymq32znJmHx7EokEA0/ZbJblNcCEHMflcrF/HHlOFsszqGEnpg9NTs1mM6699lo2uJ5tbdq0CaFQCEajEZ/73OfOuK2iKHjuueewa9euCdPxN5lubW1tWLNmzazMmjOZDPbv34+nn34aw8PDcLlcWLNmDfx+P5544gkEAgE4nU584QtfwMc//vFzbujD4TB6enrg8/kQj8dhs9lQXl6O8vJylJSUnPH+0uk0nnzySWzatAkjIyMQBAH19fX47Gc/i3Xr1p1zI0Sm8WQenkgkWK5jtVoZcCxuuP4RJcsyjhw5gr/97W84fPgws5WBt0JgFi1ahNWrV3NK/YVcU/0X6TITmDsVXCR2zWwrGo3y4nfBggUzSu67u7vh9XohCAKWLFkCAFi0aBG2bduGT3ziE3jjjTcwMDCAzs5OABOLkvnz58/4uJs2bUI+nz8nafX999/PthS33norFEVBf3//pGCtmVQjJGGMRCLYtWsXuru7oVarUVVVhWeffZaBgXeLUZDP53Hvvfdiz5496OjoQDgcZt+sn/zkJ7j66qvf0f2vW7cO69atw+9+9zs89dRTPGzasmULvve973EA0EwVj8exbds29tm69tprJ/2dFn5zNVdzNX0VsxSpipmMxT6vU5nCxDzP5XKTfLTpbzP5gE71/nwnz7045Gam38/Uc9AxgqSwNpuNe8NEIsGWPuS7WFpaypeKigqsXLmSvfZGRkbQ29uL4eFh9rak3uPkyZPMMHM6nSgrK2P5MA20o9EoB3KpVCooigKn0wmTyYRoNAq73Q7vYD/Meh3UBQmFfAoGQYCcBnKiCKPghSabgJjLQMCbLG1RggABEEXIkJCStMjmcrCpkxBEAQFBD7+igaCS+PO22WxQq9Worq6GwWDA2NgYeqMZONMi6krKUcikkZYLyJosSMSy0Lz5uff09CCRSGDx4sUoFAoMrhqNRtTX18Nut6OyshL9/f0sV1cUBW63G6WlpfB6vcw4JU9OAoXz+Tyve7RaLfL5PKxWK0pKSpBMJjngkpQ0BLD19/ejubkZTU1NzDo0GAwoLy/n/tTpdPJnl8lkMDAwgPb2dg7eJFaqRqOBLMuw2+2IRqNs+zQ4OIiWlha2gCEfYYPBgLKyMgQCAf5+kB9qOp1GWVkZB9UkEgm2urLb7bj44os5dFOtVjMIHg6HOejM5XKhvb2d1SLkeUmPU19fz4QMs9nMwTwlJSW8FlOpVLBYLBBFEYlEAqIo8gB+ruZAx7maq7n6Jys6uS9ZsgQ+n4+npnSyppP3iRMnOJXtlltugcVigUqlgsPhYECst7eXT2iZTAbj4+MwmUzso6LRaHDq1CmEw2G8/vrryOVyGBwcRHt7O1auXInh4WGMjY3B6/Wyz2FfXx/78Xk8HgYfybvHbDajpqaGT9Aejwf9/f0sFdBqtew9pyjKJGP+4sRFRVFgNpuh0WiQSqVYZkAgbLEkjSbuxGwh9g4ZhhN7ktgiw03FAAAgAElEQVRRxd5DBoMBVquVpZB0sqakPfKLAcASCGI9krxCrVbzpBCYAI7nz58/o6x6pgqFQpySe8UVV6CmpuaM23d3d3NyM3nZLFq0CFdeeSUn6J2p0uk03njjDTz33HPweDxwOp244YYbIMsyHnnkEXi9XthsNnzyk5/Exo0bz0kSJcsyvF4vent7EQwGIcsyBwmVlZWdFSjr7+/Hr371K+zZswepVApGoxFr1qzBF77wBQ7lmW2RLxA1/KlUClqtFqWlpbDZbNzw/yPlHrIs4+TJk3j++edx4MAB+Hw+3u9ogr106VJcf/31WLhw4QXrxXau/ovTAYzv9LUdPHiQpbBf/OIXZ9zuxRdf5Mb605/+NN/udruxY8cObNy4EU899RTfTlKu6crj8aC3txfAZGk1FQ1cEokEH4/7+vrw3HPPAZj4jL/5zW/C6/VO+r9iCTkdt4ovkiTh3nvvxb59+5gt+fDDD7/r/p2xWAx33XUXTp8+jTfeeAOKoqCyshKtra145JFHZiWnnm1t3LgRt912G/7zP/8Tu3btwtjYGL773e/iuuuuw7/9279N+z8EOCYSCeh0Oqxdu3bGZOq5mqu5mn2RvQINbwjUmBpOQ79TPzaddQwwfUo7KU6KmYpTGYxTr9NzKb5f8vY+U03tHaeCkvT8nU4ny1YpXdntdiMcDiMSiSAWi7Ek2mQysW2Q1WpFVVUVrFYrampquE8nIIlCS5LJJPt/k1LH4XAwyEigp6IoLHGlvodAteryckgFHzRDEeQFI6LZAlRyDiY5BSERhhY5AEXnXkGEoNVDZbQCxlLk8wWoczlk8zmkLU5IpdUwiSWQ32QHqlQqhMNhuFwumEwm9rdOJBLwFdRIZ3Vwl1VCrTcgPOZDRaWTpeqFQgHhcBj79u3D0qVLYbFYoNFomBlKnu4ulwtDQ0MYHh5GMpmE3+/n0BSr1Yrx8XFml5rNZlZxJZNJfm9MJhNkWYYkSSgtLWVGZDqdxsjICFtUZTIZnD59GslkEvX19YhEIpxmTp+dxWKBwWCA2WzG0aNHkUwmcfz4cSxevBhNTU3w+/3MYNVqtWx5BUwM2cfGxlieTAoJrVbLyjOHw8H+k4U3U8FtNhuqq6sxPj4OWZaRTqcRDoc5/GXBggUYHR1FNpuFWq3m/yfCBgXNXH755cxKlSSJh702mw2LFi1iuTytbfL5PGw2G/uIOhwODgfNZrMTcvqzBDt+mGoOdJyruZqrf7oi+emSJUu4sSHzYYPBgKqqKkiShM7OTpZ+3HrrrXC73XzypMaqp6eHKft6vR6ZTAaRSARlZWVYv349rFYrDhw4gEgkgj179mB0dBRjY2O46aabsGjRIvT09ODYsWMYGRnB8PAwJ5z19PTwtl6vlwEls9nMJ1mbzYaGhgYsWLAA/f39GB4ehtfr5eCZRCLBk/NiU/B8Ps8gGgAOiyEz6WL2Dskb8vk830bARzAY5OZjalNJEg2tVstMxeLFfDFLiBpbklYTWEr/Q/et1Wqh0+lQWlp6VsBwunryyScRDodhNBpx++23n3HbdDqN//3f/8Xhw4e5IW5vb0dbWxtWrVp11sdKp9M4fvw4XnzxRfT396OkpARr1qyB0+nE3XffjcHBQRiNRtx444345je/OSvWJBU1duRxaTAY0NzczBPsM4F7iqLgb3/7G377299iYGAAgiCgqakJd9xxB9auXXtOYArJpMbGxhAMBpHP56HVajnIyOVy/UMTqInV9vzzz2P37t3wer28YCKg8eKLL8b69evR0tJywQGN5+K/SIOQqfLo9+I1LVu2DN3d3ViyZMmME/rR0VG8+OKLKBQKMJvNk+TQ9HwfeeQRpNNp/PnPfwYwAfJv3LgRv/vd7952f08//TSHKqxZs4ZleZlMBrFYDD09PTwQofrTn/7E4VSrVq2C0WicdAwiJveZ3qc9e/bgqaeeYkneF77wBVx11VXn/qadofr6+vD9738fPT096OzshE6ng8vlwvr16/HjH//4XX0sKrPZjB/+8Ic4deoUfvjDH2JwcBBbtmzBoUOH3sZ6nAMcPxhFxzYChooBoumuA5g0XJo6aJrpb+ey3XvlLfjPXJRSfbaaGlwz0/WpfttnquKQJzqnFAOSM4XJECBZDHSezdOV9g+yuKBe0Ol0orS0dBI4Q5JWYn8TI5H8DMnCqL6+HhqNBoFAgKXFXq+XAxLHx8eh1+s5tG5kZISZaaQSqaiogEajgcPhQDwUQL6kFKpEGfLZPIzaHJLJDJBKQoscCihAACAAEJUCIOdREFUolDdB07ocKlFCYHQE6UQSCb0VEckEpyRB/2awSCwWg1arxcDAAAwGA5xOJ0vEVSoVkuk0BjyjDJr5fD5IkgSXy8WMvmQyid27d6O5uZmTlQFgfHycGaIkox4eHkYgEMDo6CjMZjMHTarVakQiEaRSKdjtdkQiEZhMJmafZrNZWK1WSJLEYYrEtFUUBT09PfycE4kEhoeHEYvF4HQ6odfrEY1GmdHndDphMBg4Kfu1115DKBRCR0cHMpkM6urq2FeSBv6kqCJGLMnrq6urIUkSrFYr0uk00uk0B7TQ/kPKKFJS0X5AgTarV6+Gw+FAMpnk10SKCkEQOJCxtbUVDocDgiDwmpHYowRe0m2jo6NIp9Mc2mOz2ZDP59kay+fzwWKxoKamZu4YWVRzoOMFXB9Ek9C5ujDq3ZJbfJDLYDCgrq4Og4ODTJMnH4zKykro9XqMjIxwai0Bj42NjUyJJ4p8b28vtFotCoUCHA4HYrEYLBYL3G43Vq9eDUmSsHfvXgSDQZw8eZIlnDfeeCPa2trgdrtx6NAh2Gw2DA0NMesxlUqxjHpwcJBTrsvKyvhkTnKWmpoaZv+kUikO8BgbG0MoFGIWEMknCAyg/+np6WH6fzEYSI0lTQ0BsFE5SWVowU5TP1EUGZCi5hV4a6JPgKTBYIDRaIRer58EXOr1ephMJpjNZlgslknTQ0mSUFtbe85gVjqdZm+3lStXou7NoJyZavv27Xj55ZdZ/l5TU4OWlhbccMMNZwUISWby0ksvoaurCyaTCZdffjna29vxgx/8ACdOnIBKpcKaNWtw1113zRroUxQFkUgEXV1d8Hq9yGQycLlcqKur40buTBUKhfDrX/8azz//PJLJJHQ6Ha677jp85StfQXV19awAKkVRkEqluLEiOTyBwRTCNBu5yHt1HAqHw9iyZQu2bt2K/v5+9j8m0/gVK1Zg3bp1aG9vv2CARgLySeJEXl/TVbHXF13ez8bVYrGckeEIgOXIkiShqalpxu3i8TgfawqFAh5//HH09PTgmWeegaIovJD4n//5H/atXbt2LYaHh/k+aCBCYVnEjnjppZegKAokScJ9992H1tbWc36tDz30EI4fPw6VSoX29nb88pe/POf7OFO9/PLLePDBB3Hs2DF4PB6Wn33729/GJz/5yXf1saar1tZWbNq0Cffffz/+8pe/MOtx/fr1+M53vvOhARzf755oasBIsZcYDQppOwKQigFD+r4UX79QqzjE50zyXDqOTceMO9vlQqj3ex86l8eayno8G2AJYNI+drYqDnoqfsypt0/dj4k9p9PpmBkGvAVIGo3GSV67fr8f8Xgc8XicGWzEDCSmXTabRVlZGWpra3koRR6GgUCAh+ikdjAYDMjlcgiHw+jr6+P+vKKiAg6bDeaKBuTjQWhlGYlsDjpNEmo5DjGTgwCgAECAAvHN15xX6ZC01UKx16PUVoqyhoXQJVPIeL0wpVLIZrMoLS3lQJRAIACbzYZYLIbBwUGYzWbIsoyGhgb2xSZJML2mYDAIu93OPuqKouDkyZPw+/1YtmwZSktLYTQaEQgEYLFY+PEMBgOTGcLhCY9Jk8mE2tpatpwaGxtDaWkp9/IEsOXzeQYvyTqHwmEkSYLH45kUEEhqJaPRCLfbzedmAAziDQ0Ncfjm2NgYrx3Iq51YnVqtFul0GqIochhMOp3GiRMnUFlZiebmZl4P0aCxtLSUQdYjR44gEAiwJ2hfXx/3gwsWLAAAfl9DoRAfj+m12+12LFmyhIH3UCjE4YiCIHBiOw3fk8kkB9pYLBZO4ia/c/rOnas91Gzrg7q2nwMdL+A6F2bMXM1VcanV6jOa/38YihbrVVVVkGUZHo+HgTUy9qXGZ3R0FDt27EAqlcLHPvYxll/SSYRO2HSCrqys5GmWw+HApZdeimg0iiNHjiAej6O7uxtbt25FLpfD9ddfj8rKSlxzzTU4ffo0LBYLB8FQGmgymeTEUAJ26Dmq1WrY7XZYLBZUVVVBo9FMMisn2WE8HucFPHmmyLKMqqoqqFQqHDp0CN3d3ZyOTc1mcRIhAYgE1NTU1HDSIhVNu2nb4gl4cVhMLBbjKTkxtAwGA3tK6t802abG0uFwwGazoaKi4ryOfU899RT8fj90Oh0+//nPn3HbgYEBPP744+jt7YWiKLBarfj/7H13dFz1lf9neu8zGs1IGnXJsmxjwDgGbIIhhLKwYZOw4JANyVmSkCzJliwEQpbfIW2zWcimF1JIlpIEWCChLdjBlNjGvUmWrC6NNL33Pr8/lHv3SZYs29jGdnTPmWN7PHrz3szTe/f7uZ/S3d2NSy65BI2NjQu+l8/nw8aNG9Hf3w+pVIpVq1Zh3bp1+O53v4vt27ejWq3ioosuwn333XfMsslyuQy/34/R0VF4vV6IxWK0t7ejoaEBJpNpwYXXrl278OCDD7JtQF1dHT71qU/hhhtuOCYftmq1ikwmg3g8Dp/Px349xBqgpOzjuaaczOtQoVDAn/70J7z44ovo6elhiwFi9J5//vm4/vrrcd55550Ri1Th7yj5C87FRnmn/ovvRkUiEQwMDCAajUIul2PJkiVzvq5UKmHPnj2QSCSor6+HTCbD5OQktm3bhvPOOw/f/e534XK54PF4MDAwAAAwm81Yvnw5s6gp5GrlypUzpOMPPvgg/H4/AGDZsmXsKXk89etf/xovvPACKpUK9Ho9fvGLX5zgJzJ3PfLII3jmmWewe/duXth0dnbipz/96YJDkaMV3WNsNhvq6uqO6WfuvPNOXHXVVcx6/P3vf48//elPWLduHRwOxzkNOALv/Fp0NABRyFQm8ORUg4R0HLPBPuFzwn2YfQ8XlvB1s/db+Nr5jul4wKsTKQIsafAgvE7Sv4VD0tl/P1l1JvfVNCimgdVCdTwAJfV788mu6XnaB6VSOUPiTUUBJATKyOVyTvWVy+Xcw1JqMEl0qUdUqVRIpVIolUoIhUJQqVTMijSbzWhsbEQ0GkUgEEA4HGbpcDqdZhVBNpuFWCyGz+fjgEcb8qgRaaAuJSCXSAG9GZVUAJJSBuWKGKUqIEUJFVRRhgixqhS5WBS6kX2IRGqgbeyE3miEUq1GMBhk6TcNmymMRaPRcAAfsfqMRiMo3TqXy2FwcBBOpxMulwtTU1PQaDRQKpXsER8MBvHmm29i6dKlaGpqgk6nY0IFydEpSToUCiEQCKBcLkOj0aCpqYnByHg8zr6b1PuT3Jq2RSQDrVbLPpDJZBKFQgE6nQ7FYhGJRALJZBLJZBK5XA6dnZ0zrk1NTU28jhocHGTgOZVKYcmSJZzoTucMgZLEhM1ms8z+pF6KwGSdTsfAK/kzZjIZJBIJ3sa6desgk8nYdz4Wi0Gv1/PgMhQKcdDPeeedB2CawECfHdnH2O12FItFZDIZKBQKXl9RqrZYLIZer0e5XEYsFmNvx1PVi56t+NAi6LhYi3WO1pnYGJ3OkslkDKYtWbIEAwMDLOGtVCo8vSJ2nsfjwZ/+9Cf2r7v44osxOjrKHiI2mw3j4+PQ6XTcLNB0EJgOUJDJZDh8+DDi8TgGBweRSqWQTCaxfv16LFu2DJ2dnaivr0d/fz+Gh4d5ykmTRGB6QR+JRCCTyaBSqaDX62E2m1FfX490Og2bzTZDRgiAp2mlUmmGzKparbJRtF6vx9KlS9mbL5lMcpMnZGCRBJoe1AjQZ0mTQHpOyJikfSCvFGHjSl6PwWCQF0g0mSUDa0o9bm5uhsvlgsFgOCamWqFQwAsvvIBqtYqVK1eiubl53tdms1k8/fTT2LVrF7LZLJRKJVpbW9HV1YX3ve99C75XMpnEpk2b0NfXh2w2i4suughXXnklnnrqKbz00ksoFAro6OjAAw88gPr6+gW3B4B9c8bGxhAKhaDT6dDU1ISGhoYFw14KhQJ+85vf4JFHHkEoFIJcLsfq1atx9913o6WlZcH3rlQqDDZSsiKZdlOaORljn0i90+vQ+Pg4nnrqKWzdupUbRGB6kt7d3Y1rrrkGl1122bseBkMgo5DJOBtkJFmdcOF8pjAxj6fefPNNXhBoNBrccMMNbPRPj1wuh0AgwPKkJUuW4Bvf+AbuuOMO9PT0wO/345Of/CS+//3vY3h4mEOHrrnmGnR3dy+4D8888wzy+TzEYjE+9alPHfcxTExM4D/+4z+QSCSgVCrxL//yL1i6dOlxb2e++vd//3ds3boVe/fuRSaTgcViwXXXXYcf/ehH73jbfr+fH8FgEMuXLz+mxQ2xHh988EH8/ve/x+HDhzE8PIwHHngAV1xxxTkLOFLNdy0ql8usHqDzOpPJ8EKbmNQnUiTvp995+v2fzfYDMIPZN9dzwn+fCTVb5i18FAqFI1icwn8LnxP2CELgi4rSnwHwoPZ4ir4DAuTIs5rAydmgJSkz5qpzpa8moPpYFAvzsSjL5TL3nOQ7PFdADpVEIoHRaIRGo+GhtEQiQUNDA3K5HOLxOLMciU0XjUaRyWQQjUZZHVOpVJBKpVCtVjE5OckDerFYzH0LBaIkEglIpVKW1ZJPISUvZ7NZuAFkRRKYRBpU8lmUyiU4ZVqIxUnIUYS8WkWpKkWlWkEeUqTzeVR8I0hEfVA6XEhWq8g7W2AwGOBwOKBQKJBOp5FMJtknvVKpsMejxWKB1+tlINJgMEChUGBiYgK5XA6Tk5OIRqNoampCOBxGJpOBzWZDKBTiz2nHjh3weDzo6OiA1WrldGmTycShjGS7RO8lHPpns1lmUCqVSqRSKYhEIkSjUYhEIt43sViMSCTC66RcLsevo/VUoVCA2+1mq6jm5uYZqhyRSMSScr/fj1AoxEoau93OfvqUoA1Mq3boekDrLOqrotEog3wymQwOhwP5fB7ZbBYSiQSZTAYajQaNjY3o7u6eTin/sydkuVyGwWBAPB5HPB5HOByGTCZDbW0t1H8GjUOhECYmJljerlKp0NHRAYlEguyfmazxeBzVapX9p4kYQixKsVh8zt9PT6QWQcfFWqzFOidLIpGw74xMJkNzczPLePV6PUql0oxplFwux8TEBLZu3YpCoYDx8XF0dnaiUqnA5XKxZGJycpKbI41GwwnPNpsNV155JRwOB3bu3Am3242pqSm8+uqrnFh9ySWXQKPR4IILLkBLSwtGRkYwMjKCeDzO8gryWEwmk4jH45xKHYvFMDExwY2X0WhkoE7oXTZfE0mekSRlocUV3czz+fyM/yP/E5IgEKtDyN4SynQA8GcNgAEVAiSpKRUCovQ+fr+fjdOtViuGh4fZf6e5uRl1dXXzmqoDwMsvv8xM1E984hPzvq5cLuPNN9/EK6+8gmAwyCzSZcuW4dprr11QBl0sFvHaa6/h0KFD8Pv9WLFiBS6++GLs2rULTzzxBJLJJJxOJ+67775jAk4omY/k9clkElarFc3NzWhoaFhwmhmJRPCtb30LmzZtYv+aj370o7jtttsWPJZKpcKNcTgcniFFMhqNcDqdC6Zjn6rK5XJ49dVX8cILL2BoaIgX/TKZDI2Njbjqqqtw/fXXv6sG3ZQOL3zMLrquENBwticY0vm6b98+7N69mwcQjY2N6OvrO+L1r7zyCkujb7vtNrhcLrz22mu466678NhjjyGdTuOOO+5gw3ipVIq77rprwf34+c9/jp6eHgCAwWDAZz/72eM+lq985SsYHh6GWCzGqlWrcO+99x73NuarRx55BFu3bsX+/fuRy+XgdDpxyy234P777z8p229oaMDQ0BAAsPfVmjVrjjlZ+oMf/CB++9vfolwuw2q14oorrjipQTZnYhUKBaRSKbZSIa80UgYcSxHjju639CDgikAr4eNcrlMNgM4GMOk6K1RUEOBFw1JSfwiBYmKhHm/NBxgLv2sCKM/l7/pYWJTC3k4IRNLfZ4fUKBQKZujF43G22iGwJp1Ow2QysXqHAj9KpRIP4wkAogRiAqFUKhUymQxEIhH0ej3y+TyUSiWy2SySySQD18KBelikRKgsQ1UkA2QSxMtpdCAKdbkMKSqQiMQQi8TIipUIVOTwhXOo0QKG9CEUokmIMiWo5HIYLbZpq6BsGpXyTECWFEjpdJoZisFgEEqlEhKJBGazmcMjCQBzuVyceE3AGfXofX19CAQC3CPrdDpm8imVStTU1PAaKBAIIBQK8WdRU1MDv9/P21Kr1UilUpyeTqCsWq3mMEoKkaR9IOk1MUp9Ph8DnXa7nVOdAcBisaBYLDI7ldY9gUAATqcTbW1tzGqlcyWVSnHKOA1o6JxSqVQolUrI5/PMgHW73fB6vfD5fJDL5WhtbWU2psFgQKVS4XUJAaSJRAIqlQp1dXXM8iTJdTqd5pTvlpYWXh/ReadSqXhdScdJLF6ZTLYYIDNHnd0d8DleZ7KHy2Kd2VWpVDA6Oorm5uZzZjJ7IkU3L5FINGOiqNfrUSgUWGpBMmaxWMzyv4mJCVx00UW4+uqrGZwSiURQqVQYHh4GAHi9Xp740s1v7dq1kMvl2L17N0ZHRxGNRrFlyxZEIhEEg0GsW7cO9fX1MJlMuPDCC9HZ2YmhoSGMjIywR2M6nWZJhFqtRqFQYDkISVL0ej0zHml6qdFooNPpoFarGYCkByXdSqVSaDQaWCwWnmDPxVQoFosYGBiAzWbjwAvyi8zn8zNYIZRCTQu5fD7P0266jhHgQnJtmpjTPpRKJcRiMYTDYW4q7XY7hoeHUVtbi5aWFnR0dBzha1itVvHMM8+gWq1i+fLl87KVqtUqDh48iCeffBKDg4MoFovQ6/VYsmQJVq5cia6urgXPp927d+PgwYMYGRlBa2srli9fDpFIhIcffhiBQAAmkwm33377MTEmqRH0+/0YHx/nNNuWlhY4HI4Fwb7+/n589atfRU9PDyqVCjo6OvCFL3wBa9asOepCsFqtMsuVzklqLnU6HZxOJ8xm80kBG4/3OjQ2Noann34ab775JmKxGDMFLRYLLrnkEnzoQx9Ca2vrO96vEyla0AqZjLOLJv8ENJ4pjKQTKVrkZzIZZi/m83m88cYbCAQCcLvdkEqlMJlMDBjSIlytVkOpVGLr1q0QiUTQarX4m7/5GwbCf/KTn+Diiy/GP/3TP7HUCwCsVitWrFhxxL7MPo+efvpp9or80Ic+dNzH9vLLL+O5555DtVqF2WzG7373u3f2YQlq06ZNeOaZZ3Do0CFkMhnU1NTgxhtvPGmAIzDN1lmzZg3efvttANPsr3379uHCCy9c8JzL5XL4+Mc/zsyXn/70p+cM4EhsReE9if7M5/Pw+Xyora2d81pEoBLdU4VexKdCqrtYC5cwtO5Eai7AcjZoKQzzmg1Y0vMEUlUqlQXPIaGntRCwPNdBSmF/OZfqQAhIEhCpVCoRi8VYEZTP5xn8IsYaSehzuRw/R97fRqMRUqmUB+BEJNBoNNBoNDAajczII6sYu93Oycak9CFQdPpnHAAAuU4Or08KbXQKqmIG+UoJUgCFUhUjhQqk0iImowXIlVVI4EEmmYBEq0FWOq3CMOpNUFeAKOSQaCysTAoGgxCJRBgYGEB9fT1UKhWTDRQKBRwOBzQaDdxuN/L5PPe/LpcLfr8fSqVyhj9mJBJhoKy5uRl2ux35fH7GOsHhcGBycpKBRwJm29raEAgEmHzgcDhmkBHIaqlSqcBsNrNNDAW5EEipVqsRj8eZMRkKhfg6qtfrodPp2MdSq9Wivr4edrsdfX19zHiUSqU477zz2OOdmOAE1pIllEgkYm/+xJ8Twun3LZPJIBgMolgswm63o7GxkdPgE4kEotEog9ijo6Pc+xoMBnR1dfH7EtM0Go0CAK9FKHwmk8kAALMs6fe7UCggkUgAAAeCnqqqVCpn5dp+EXQ8g+udSDoW6y+7isUigsEg6uvr33XZ4btdBGwRa0ulUuHyyy/H3r17EQ6HZ0ytnE4nqtUqhoaG0N/fj0KhAI1GgxtvvJGp8tRwHjhwgCWVRqORPVQsFgve8573sBfZyMgIkskkDhw4wH4za9aswYUXXgipVAqtVouVK1eio6MDBw4c4AkZST9ockiTvnK5jGg0ikQiwQ05LfKpmaVEaQJAlEolS5gJkARmTrBnVz6fZ4aoVCo9QgpFU0YCGelBMo94PI5MJsMPMgEX+j9JpVJmj5CUgrZLvjyU4j02Nob+/n50dHRgyZIlDD6+9dZbbBr9sY99bN7zYGJiAs8++yx2797NoQl2ux1LlizB1VdfveCC0uPxYPv27RgcHITFYkFHRwdWrFiBL3/5yxgaGoJarcYHPvABfPKTn1wQsMtkMvB6vYhGo5iamoJcLofNZkNbW9sxGU9v3LgRDz74IDweDyQSCdavX4+77roL9fX1R31vkubEYjFOeqawHwqIOZnMxmO5DhUKBWzbtg1PP/00+vr6mHUkl8uxdOlSfOADH8Dll19+2lmCwmZ3PpCRFpVCyeTZWEL2BIGMtDgXVqFQ4BRp8jq64IIL0N3dPacX5ejoKADA4XAcwby97bbb0NXVhQ0bNmBkZAQikQjvf//759w/4Xn0wgsvYM+ePcyu+OpXv3pcx5rJZPC9730PyWQSMpkMn//852Gz2Y5rG/PVoUOH8KMf/QiDg4MIh8NwOp24/PLLT0lCtcFgwLJly5jxGY1G0dvbOydoS5VKpbBhwwb4fD7IZDJ87VWntIsAACAASURBVGtfO6mS8tNVJG8jjy4CFo82qCc/NwIjlEolNBoN+wufayDQYoFD606kCKCkayGl6kajUfZwOxpISYOUoxV51pJ/LfVqKpWKH+dKzQcg19TUIJPJIBwOcw9osViYWUf9gMFg4GF8Pp/HxMQEhxVS6GCxWGRJNg3lrVbrER7j5H0ovI4QiJdOp6c/+4Y21DQ1Qp6OIez3IB6OIBf2Q1bMQlepIpbPQVkpIl8oQJTNQKU1QJ+pQiWuQiqTQqozQ2t3Qq+zISopImewwmq1or6+HiMjI/D5fACmzzOLxYJ8Pg+RSASTyQSDwQCDwQC32410Og2v14tMJoOGhgaWjJtMJgb9EokEBgYGkEgkUFtbi6amJu71aN3jcDi4fyd2PHkiUs8dj8e5n8lms/x5ajQaFItFvsdT4jUBiV6vFzqdjkFAGs7a7XbU1NTwmoZ6ColEAp1Oh46ODhw6dAherxeTk5PI5XLQarWwWCxwuVyora1lJmwsFmP/bhroklckgagSiYQ92lesWIHGxkaYTCbEYjH2KNfpdBzCSf6MLpcLK1as4LVVMBhEIBBAMpmEXC5HfX09HA4H/H4/NBoNJicnkc/neV/pvKb1JMnJT+U9hYDXs60WQcfFWqzFOmeLDLCB6YUvMH2Tb2pqgtVqxZtvvskpweTvp9frYbVaUa1WMTExgc2bN0OpVOKWW25h5iE1BSqVagbDp1QqsYH1ihUroFAooFarMTw8jFQqhfHxccRiMQSDQUxMTODSSy9lELNQKMDlcqGurg7ZbBbhcBh+v589bigtbrbXEflPCaeSdBOmBkIqlUKlUnHSGiWo0v4vVAvJqIQTbJpiUyod7R9JyMlInNK26Wdp/0kqRdsqFovwer3w+/0YGRnB+Pg4Dh06hK6uLnR2duLRRx9FtVpFZ2cnVq9ePef++f1+vPTSS3jjjTc4+c5gMKCtrQ3r1q1DbW3tUY8/l8vhjTfewMDAAEqlEjo6OnDZZZfhsccew/bt2yESifCe97wHX/ziFxeURKdSKUxMTCCTycDn83Fj3NbWtqAHTKlUwi9+8Qs8/vjjiEQi0Gg0+NCHPoQ77rjjqFKOcrnMHjZerxfpdJqZsTU1NaipqTntU9NkMonnnnsOL7/8MiYnJ2eEwlx66aXYsGHDMYdknKyi5juXy6FQKBzhyUgsjrOZ+VSpVGYAjJR4PxuwEYlEPMGnBfCOHTtgMpkgk8lQqVQglUpxzTXXzNn8BoNBZgpceeWVc+7L6tWr0djYiJGREUgkEnzhC19YcP+feeYZ9nRau3btgr+7s+snP/kJMwQdDsdJk1UHAgF85StfweHDhzml+sILLzwpHo7zVV1dHQ8ugGnmvVKpREdHxxGv7e3txTe/+U0cPnwYEokEn//853H99defsn07WUUAjjCw4GhyaApHUKvVUKlUDCzSoPD8889/x4s1GgTSkEzogUz/pj+FfnjCmgsgPdbnhKnGsxOVSTI61//P9xwN/852+4eTWXSNF96TSeEx1zk0G6AUBg0RQ2w2SElDraMBlARMEhOXzm+6Jp+t9yFhqdVqKBQK9sMDptUNBD4SU5XCVwgII9CwWCyyPzgNCUOhEBKJxAy/QOo5yb9Qo9GwvRKlIlPoTDgcxqRSCYNeB0vzeTC0SaELTCI33gdV1A+LOIN0voxssQR9KY94JgmZQgKppIqSXIE0lKgiCks8AaWzFXGpBvnC9PdeU1PDadPk503fZaFQgEwm44CZqakphEIhlobX1dVBr9dzEAwBdblcDuPj49x319fXo6amBqVSCUajETKZDE1NTRyi4vf7GUDX6/WQy+WIxWKoVCpQKBSora1lT8NEIsGfv0ajYY9K8lS2WCzIZDJQKpW8BhJKsR0OB5/j1OcTWNfZ2QkA/D2SlyKpENra2lAsFnHo0CEEAgFkMhk4HA4OIBKJRFCr1fB4PHydraurw/nnn8/hMwQoi0QiyOVyeDwe+Hw+Jh/Q0JFYkEJ7KYVCge7ubpTLZSSTSYhEIg4zIg96YPq6S30jsVoXB1lH1uIdZrEWa7HO2aLmTiKRzAD3EokEWlpaoFKpsGXLFgwNDUEkEvE0rLa2FnK5HNFoFOPj49i0aRPK5TJuvvlmNsFWKBTo6OhgUI2mjrSdarWK9vZ2NrkeHh7m5Lht27YhHA7D6/Vi1apVnNhMoAtNuLPZLDweDwcGpFIp9hvJ5/O8oJmdXEmekNVqlRcUpVIJCoUCRqORPSEpNZo8YORy+Qkx3ahpm92IOxyOGc03fU40rfX7/Zw8R147BOKSDyQ16pVKBZFIhD0QvV4vnnvuOezZswdKpRI333zznPseDoexceNGvPLKK/D5fJzG53A4sHz5cqxdu/aox1ytVrFr1y709vYiEAhg6dKluOiii9DX14dnn30W+XwejY2NuOeeexZkKWYyGYyMjCCfzyMcDvN30dbWdlTPSvrZhx56CC+88ALS6TTsdjs+85nP4IYbbph3EV2tVpFKpRCPx+H3+xGJRKBUKmGxWGCz2eBwOE77QtPn8+HRRx/FW2+9xRJqqVSK5uZmXH/99bjuuuuYuXCqSxj+QqERwhKCjAqF4qyTs9DCgJpoYiXPlUIqZNlQYqZcLudjLhQKGBgYYGN5Ah1vvfVWAEAoFILVauXtff/732dri9tvv33O/Usmk9i7dy+A+aXVwnrrrbfw9ttvs4zuoYceOq7Po7+/H0888QQvNv7t3/7tuH5+vkqlUvjSl76E3t5euN1umM1mrF69Go8++uhJ2f7Rqquriz2GgWl2qVKphMvlAgDEYjG8/fbbePnll7F9+3ZIpVJcf/31+PSnP33K9+14azbASAvRuYosOEhCSIzF+Wo+oJIAQgKKhIEFNPiaHaBxLheBjySXFYKSJHmc/TzJav+SgcvjkUwTiEYgJQVv0X1ImIBOwOTRigBJYkyejcCkRCKB1WplHz8KBVGr1TOSoGnoTxY+crmcGXoUIgMAiUSCpfPkF67VahmEos+7UCjwtYO8IOPxOA/OQ+EIMtncNCvQ7IBeoUA5NIVcKgnk81BEpqDJhiErlKCu5CABUCqUkQ16kYQK4lQOYpkehto2FDVipFIp9odfvnw53G43tFotp1er1Wru4WtqamCz2TA1NQW32802S7W1tXA6nezFKLQRCIfDrOiSSCSsfiHmp8PhQGtrK8bGxjA5OcnhgxSWSUGCSqUS9fX1LMmmdZNMJuM+V2jPZDAYIJPJOCiSvhO9Xs89t0qlQiQSgVqtRl1dHRwOB1v5pFIpDtNJp9MIhUIIBoOw2Wyoq6uDzWZDPB6HWCxmlmE0GoXVaoVarWY/SWKTOp1OTsKm4bFcLmfmKIXoaDQauFwu6HQ6qFQqHjaTn6PBYGBvf2GIDAGnwqBHAiWJvXym/869G/WXeXdYrMVarHO+hAsEuVyOmpoaKBQKZDIZDA0Noa2tDbW1tVi/fj3UajV27twJkUjELDCn08mN2+joKC9ArrjiCm5UGhoaAIDlgclkEmKxGEqlEpFIhI36r7zySphMJvT392NiYgL5fB59fX3weDwYHh5GS0sLlixZglWrVs1YOKlUKrS2tqK1tRW5XA4+n499AMk/kRpWWuAT04FCHgBwyjQxmxQKBUwmE4LBILxeL087iempVCq5kXkniyzyqSFQzGw283YpMZuARAozIXCMJtxSqZSTyIkxEAqFEA6HsX//fqRSKdTX18NgMGBqagpKpZIZk9FoFG+88QY2b96M0dFR/t40Gg2am5tx+eWXL2j2PDo6il27dmFkZAR2ux3d3d2wWq34+te/jkAgAJ1Oh9tvv31BwCSfzzPgGIlEYDKZoFQqjwlwDIfD+MY3voHNmzejWCyira0N//qv/4o1a9bMu8jL5/OIxWIIhULw+/0AwOFD5CV0OmtwcBC/+tWvsHPnTvbIUiqVOP/883HLLbfg/PPPPy2hNcT0o0XHbDYjna/kyXW2lNConn7Phd6qwiLmM7FDNBrNgknau3fvRiaTgVqtxv79+wEAdrsdjz/+OL75zW8iEolg/fr1eOyxxwAAmzdvRrVahU6nw/Lly+fc5h/+8AdmnVx22WULHuPTTz/NgVHkxXo89cMf/pCZft3d3bjtttuO6+fnqkqlgq997WvYvXs3xsbGYLFY0N3djSeffPIdb/tYSiKR4IILLsC2bdsYoOvr64NMJoPX68XAwACGhobwxz/+ERqNBhdddBG+9a1vnZZ9O1pls1lEIhEGGFOp1FEBRhrQkMrgWBZ0QhAxmUwiGAxifHyc7w8ELJ5oEdAmBOiEoJ0QmJtrYHGsz81+XsisPNq/6dp2tNfTcE/4f8Q2O9aAnbk+F5Ic0t9ne0zT/51N19iTVST7XugeTIAkPeYDJknWTYOHuWo+YJLYnGeKlFur1TLrrlQqIZPJQC6Xo1gsshqCwF3y16NQGeq/FQoF6urq2LOxWq1y0J7BYIDNZuP0ZhrAUZhIIpGYEbRIkttKpYJypYKK2QGNsxnqUgGhSBj2oe3QhItIQo5yLgtxIQFltQwFKoil4sirZCjl8ogGQ2hwNcJisSAajXJYzNq1a+HxeOB2u+F2u9mGSJhw393dDYvFgpGREaTTaQSDQVSrVWi1Wgb+6LNwOp0Ih8MYGxvjYb/T6WR/YUq3XrJkCXQ6HcbGxuDxePjzsdlsiEQibFfR0NAAk8kEj8fDQGAymeSBNVk0SaVSVKtV2Gw2FItFZpT29PSgpqYGy5cv5+txNBqFTCaD0+mE1WrlEEPy1qfvIBqNwufzIR6PIxQKwWazcXBQKpViqyiS50skErhcLpx33nmora3lfshisUAqlSKRSHAPToNLYkUSKzSbzTILlEDJxsZGVmQlEglkMhn2c6RrGL0XHcciy3Hu+su72p9FdbaxKhbrzKnZcpq/xCLQjUykpVIpzGYzMpkMB8HQtOriiy9GJpPBtm3bYDabkU6nIZPJODlOJBLB7XbjpZdewuTkJN7//vejs7MTdrsdxWKRFx0ej4cbHaVSydJFrVaL1atXw2az4eDBgxgYGEAymWTwjCQFoVAIS5cuRUdHxxFAlFKpRFNTE5qamlj+QRJGYglSI0oP4YKKPgshazCVSiEcDrPpMbG6aEo6OjrKizyNRsMLBUrtPFFWpLDhtlqt3OQFg0EkEgl4PB54PB4EAgFEo1Fks1mWfchkMhQKBUxMTMDv90MkEsHpdGLbtm0sd1Aqlcjn89i2bRsGBwdZdqJWqyGTyVBbW4uVK1fivPPOO+q+xuNx7NixA/39/ZBKpWhvb8eaNWvwX//1X/zcVVddxWyv+apUKmF0dBTZbBaBQAA2mw0KheKYAEev14v7778fO3bsQLVaxQUXXIAvfvGL6OrqmvPzr1Qq3KT5/X5kMhlotVro9XrU1dUdk2fkySqxWIze3l48+uij6O3t5QbfaDTi8ssvx6233nrc8tgTqWKxOGOhNnsfhb5a70Za94lUuVxm5jAtkObznSSbBzLYPxFG865duwBMXzN3794NAJiamsLdd9/Nr9m8eTPWr1+Pp556Cv39/QCA5ubmebf529/+lpv/++67b97XicViDA8PY9u2bcjlchCLxQv+zs31Xps3b2b/3m9+85vH9fNzVaVSwXe+8x28/vrrGBwchMlkQmdnJx5//PF3vO3jKZVKheXLl2PPnj0AplPtH374YdTV1SGfz+P555+HTqdDXV3dcbNDT0YROyQajfKCcT6AUavVcvDAsQCMwiECMXmFgAwVLXZjsdgRQBeBg2QnQIAZ3e9my5DPxd5qtkR8tkx8NuNT+Pxs4JJ+/lhBy7mASQplIYBS+F28W3W6v3s6boPBMO9r5gMmhaF/xwJMisViDpMj2fG7BUaSxzX5ghcKBf7MCRQnKbVGo+EwEQAsGSZZMYWcEAuQ/M0JdKWBBwWlUdikWCxm5qNWq0UikUAkEplOL/4zi81kMAIqDapyNZRiMSQoAWIVJIUc5JUCVOUs/EU5sukCpOEI4okkamtrOaUbmGai19bWwmw2w2AwYHR0FIFAgK+TFO5SW1sLrVaL4eFhBuNsNht7JVKwDknKS6USxsbG+FxwOp3MJG9oaIBUKkV9fT1/z+Pj4wiFQnzdpXVMMBiExWJBe3s7jEYjpqamkE6nMTw8DJvNBoPBgGq1imw2e4SXPEnWw+EwXn/9daxcuZLZhGq1GoFAgO2e6JpBcm2TyQSfz4dYLAaPx8PnACVMkxc8+b/HYjEYDAbU1NSgvr4eiUQC+XyeryXFYhFut5v95guFArM5m5qaAIDXIZFIBJFIhJVn5AtJIYx0vtXW1vI9g1j55DV5qv0Wz9b7zyLoeAbXQt5gi7VY85VMJsOqVavO2gvTyShi2UmlUuRyOfb6mJycxMDAwIzXKhQKtLS0oFwuo6enh6eGIpEIdrudm2qaRMpkMrS1tfFU1Wq1sgfa5OQk4vE4J/HRxE6n06GpqYmBsZ6eHvh8PlQqFaTTaezYsQNjY2MYGRlBU1MTWltb0dXVxablwiLgrLa2lm/CyWSSGxXhwk4Y8kKMyHK5zOxBWqxRk0AADPngjI6OcsNPzE/yzCKwkhIaT4S1QFIQlUoFk8mETCYDl8uFWCyGQCCAoaEhuN1uRKNRNtsWiUTweDyoVqssL+np6YHdbufj8Pv98Pv98Hq9KBaLvHhVqVRoamrC2rVrjwr4VSoV9PT0oKenB5FIBEuWLMEll1yCbdu2YdOmTSgUCujq6sI///M/H1UOXKlUMD4+jkQigUAgAIvFAqVSidbW1gUBR7fbjS9+8Ys4ePAgJBIJ1q5di/vuuw9Op3PO11PDRCE1KpUKVquVz5XTdT2oVCrYunUrfv3rX2NgYIAXo7W1tfirv/or3Hzzzad0MUOsPwIjZrN1ZTIZn+dny32WTO5pkTTXcZHFgZDBeDJk4bt27UIikcDU1BSef/75I963paUFjY2N2Lx5MwYGBrBs2TJOcZzPzzGZTGLLli0AFpZWy2Qy7N+/H+Pj4wCmbRvuueeeY97/UCiEF198ESMjI5DL5bjgggvw3ve+95h/fq6qVCr43e9+h+eeew6HDh2CRqNBW1sbfve7370radA2mw1OpxMbN25kZnNfXx/fzzQaDb7+9a/PkIOdqiIWYzQanSH9FhaBHMSyNxgMnB46VxGIImQp04L6aCW8N733ve+dkST8l8y2m11CMO1EWTpCwHL2QyhXJ99nGooeD0gpZFHOBRCfSnDyTOyrTwSYFA7hhMAk+YcLSywWQ6fT8f3kdIGRIpEIRqMRCoUC8XicWblC1Q6FoABgFYxer2fPR/K9ttlsfGx0vDqdjoexlKJNgwmlUgmTycRhjRT2YrFYGAjTaDTIpFOwKQ1Qao2olivIyrWQ5pIo5jNIidTwleSIV+SoQAnJn+1HpqamEI/H0dzczMeTSCSgVCqxZMkSGI1GjI+PY3h4GMVikRU25F24fPlyDA8PIxQK8TqjpqaG/SrJ9zKRSMBgMMDv97O1UX19PQNn9fX1MJlM0Ov16O7uhtFoxNDQEAKBANurkLw/GAzCbDajsbERRqMRY2NjM8JYTCYTW9WkUikGgpVKJVpaWjA2NgaRSIS9e/dCp9PB5XIhEolwQGUqleLUca/Xy4MMAjQzmQwikQgsFgsnl5O/qkwm4/ODJOLFYpHZlMD0dSkajbJHJV2LtFotr8mAadCRyCC0JmppaYFIJGJpOUmsjUYjrFYrW0uR5z4BjqcadDxb+tbZtXinXazFOkfrTGqM3q0iun4sFkMymcTSpUuxfft2jI+PsxciML0ABoDW1laYTCbs3bsXWq2W06PJa4ZS23bu3AmTyYQNGzYw0GWxWBh4JJApl8tBr9ezT0yxWIROp0NXVxcUCgVGRkYQDoeZlh8MBhEMBjEwMICWlhb09PSgqakJ7e3tsNvtUKlURzCUSG5CTREVgZnkkUU33WQyyRIBoRekWCxmHxuanAqbd5lMBolEwgl2xDoUApHEUhECkcdzHlKqnU6ng8VigcPhQEtLC6amptDf34/x8XFEIhGMjo4ik8lAKpXC5XJBqVSyVyRJhkjeQX58SqUS1WoVCoUCK1aswJIlS466L16vFzt37sTw8DCsVivOO+88GI1G/PKXv0QoFILZbMbtt9+Otra2ebdRrVbhdruZdWg2m6HRaI4JcBwYGMA999yDgYEByGQyXHPNNbj33nvnlIMXi0XEYjEGWgGwX6fT6TxtKXeVSgVbtmzBf//3fzPYKBKJ0NTUhA9/+MO4/vrrT5nPzdFCYGgAQQ3hme61I2zg6bozlxScwCS1Wg2tVnvKfIR6enrQ19eHP/zhDzMM0rVaLW6//XbcddddAID//M//xPe+9z14PB4A09eMz33uc3Nu89VXX0U6nQaAY5JW79mzB4lEAmKx+LgBwx//+MfYtm0by9B+8IMfHNfPz1WbN2/GT3/6U+zfvx8ymQwtLS145JFHTirg6PP5kM1m0djYuOB1dGhoCIcPH+Z72cjICPr7+1GpVKDRaPDAAw+waf/JrlQqhWAwyCmjc4FHJJEmieN8ACNJKoXWIQslU5NdgDANmO4Di3X6SiwWH5e3IfB/gKMwPE4ITAr9NYWg5kIApZC5KmROzgacT+QYz7ZaCJgkD7t4PM7+v+SrSMqJ2WE3MpmMh1sE4J0KMJI8KSlkRiQSMaOMrILUajWA6e88lUpBp9Nx7w6APRRVKhWz3Oj4KGV4NjBZKBSg0+lmqIVKpRJcLhey2Sx8Ph8KxRISUhVKCjO0hRTE5QKKOhtSZg2SMi2yBTHy6QyS0SgsFguzEImdp9PpIJFIuBcsFotwOBwc8NfT04NYLAafz4dIJAKn0wmdTof29naoVCpMTk5yGrXdbodGo0EwGIRUKoXFYkE8HodWq2WfRgL4nE4nxsbGEIvF4HA4oFKp4HK5oNfrMTExgcHBQQbQyBecJNcmkwnd3d3w+Xzw+/0MYBPQCEzft+jzTqfTcLlc8Pl8rKxKp9Po6upi5jSF+tA1v1qtwufzoVqtYnh4GPF4HAaDgZVKJpOJQzmJ0Wg0GtHQ0IDGxkZUKhVOsq5WqyiXywiFQky0SCQSKJVKMJvNaG5uhkqlQrlc5vVdMBhkRURXVxf3YvQaArfJP5SstYQS8TO9x3y3ahF0XKzFWqxztpxOJ0ZGRuDz+TA6OoqLL74Yv/71rxGLxTA6OorW1lYAYI8UlUqFzs5O2Gw27N27l2+UsVgMOp0ONTU10Ov1CIVC2LRpEyqVCjZs2ACHw8GNC02+JiYmGDDQarXsB0ISj66uLrhcLgwODiIQCHBQDDAtjwuHwxgaGsLAwAB6enpQW1sLl8uFxsZG2Gy2BcM2aEItZLZks1m43W6Mjo4yC0Xom0is0HK5zMAHAUfpdJpZBiRzEDb1JOOkZpTemybJxwuICBtli8UCl8uF0dFRbNu2Ddu3b0elUuEEatpvOkb6HIkFYTQaodVq4fV64XA4sGbNmqOCfiTN7u3thUQiQVdXFy6++GJ8+9vfxuHDhyGTyXDllVfigx/84LzbqFar8Hq98Pl88Pl8LBVsaWlZEHA8cOAA7r33XoyPj0Mul+ODH/wg7rrrriPAw0qlwoELU1NTPOG3WCyoq6s7LawmYFrq+/bbb+NXv/rVDLCxvb0dt956K9avX39KFmvlcnkGe0NYdD6+k4Ck01UkERWmupOHFRUZlJMhPrEYT8dxbdmyBc899xwA8KT/uuuuw29+85sZr7vrrrvQ1dWFG264AcD0IuqJJ55gUFJYr7zyCi8eP/zhDx/1/V9++WUcOHCArznHIxHeunUrdu7cicnJScjlcrz3ve/F0qVLj/nn56pDhw7hoYcewr59+yASidDS0oIf//jHLNM6WUXgbS6XQ1dX15yvSaVS2LFjB3w+H4BpNvGTTz7J/9ZoNLjppptQLBbR19cHk8nEFhonEjBRLpdnSKXnC3vRarUwGAywWq0wm83zAlFkEUDX7aOBScLBgRBcXGQqnr1FvcOxhIcJAcq5Qn/mAicJCJmrSKJJg0khIHkmyLlPV4lEIgYNhUX3VwIjk8nkDCsPAiO9Xi//DPV/dI+i68A7GQBQyAyl15OsVpjGTknOxHRUqVSoVCrsQxwMBvl6RKAq+YOr1WoOpVKpVIjFYmwJoVAoYDAYkEwm+Tqj1+tZth0MSFAul5HPSCGplCGSKVDWW1CR62EpFCCRxTiZW6PR8P2apNAUiBKJRGC1WmcAVzqdDoODg7yWGB0dhdlsht1uR0tLC7RaLYaGhvg4qO8Lh8Pw+XzcI5jNZrZTIj9bs9nM4ShWq5WDJel4BwcHEYvF2GqJWJXEQCQbI6/Xy3222WyG3++HRCJhn0YK7yG2ZjKZhNfr5XtQpVKBTCaDzWZjRiMBv/S7q1KpYLPZoFKpoNVqUV9fD4VCgT/+8Y9MAHC5XLjoootgsVgwMTHB351YLEaxWGRCBaVxi8ViJjUA/yetTiQSCIVCKJfLTBAApoFr+n+SgNP3SYMxkUjEpIvFmrsW79RncJ3rKXmLdeqqUqlgdHQUzc3NfxFN03wll8vR3t4Ov9+PyclJlgdEo1G89dZbaG1tRSKR4Ma1pqYGMpkMy5Ytg8ViwVtvvcUyh1wuh8bGRiQSCUilUni9Xrz22muoVCr4yEc+AqfTyc0RsQTJUyWXy7HhMvmfaDQaOJ1O1NbWYmJiAuPj4/D5fOzRCICTnck/hWSyFosF9fX1aGxshNVqPSbwoVgsIhKJoL6+Hs3NzRgfH4fb7eabPHn+kOF4tVpFOByGyWTiiSSxIamxz+VyzB6gxSv5PRIAqVKpeBJuNptZSn2si12SlajVaqhUKmzfvh0AYLFY0NTUBKPRCIlEAr1ez4BpNptlKYXNZkN7eztGR0eh1WrR2dm5IDvx8OHD2LlzJ2KxGDo784huvwAAIABJREFUO7F27Vrs3r0bGzduRD6fR1dXF+68886jNhfhcBhutxs+n49TFRsbGxcEHHfv3o17770XHo8HSqUSH//4x/GZz3zmiM+LFgOU5i2RSGCxWOB0OmG320/L7321WsX+/fvx8MMPo7e3l9nD7e3t+NjHPoZ169ZhbGzspL4nNcoEfgnrbAmBoWsASaUzmcycXpOUJE0LwndLUvPqq6+yF5NWq8VNN90Em82GX/3qV1i9evUMEO/666+HyWRCNBoFAHznO9/BwMAAfvazn83Y5htvvMEg4k033XTU99+8eTMikQjEYjEuuuii4/IBfeaZZ7B7926IxWKYTCb8/Oc/P44jP7Li8Ti++tWvMnOyoaEBP/vZz4471OZ4KpvNYnJyEvX19TOe7+3txcGDB/n3rre3F2+99Ray2SxEIhFWrFiBm266iZlAExMTmJiYmLENIQOMfm9UKhWDMSqVCtlslodUxOgQllgshsFggNFohMlkgtlsnvP6TjI/oQ/pXH0uMXiJQT87Sf1EarEnOvvrWAFKIXNSCFBSsIYQnCSZPvVcs4sUG9TjeL1etLe38zl5Jt9n3mlJJJJ5wUghC38+MFJYMpkMBoMBJpMJJpNpTtughYoAnWg0CoVCgVKphFwuB4VCgWw2y8Emer0eqVSK7UYo/ZpY2EajEUqlkhU/mUyGAUvq1VKpFJLJJFs4qNVqZtiWSiXIZDLY7XZotVrEYmZEwiHk0ymURWLIRAqoZTKIxGJYrVZeMxDTr1KpYGJiAhdeeCH31jKZDG63m9/fZDLBaDSiq6sLNpsNhw8fRjQaZXICpTRrtVr09/czoYHWCQqFgoNyqtUqTCYT8vk8Dh8+DJfLxeAjsTpzudwM72+VSgW32829JVkfRSIRZDIZ1NXVQaFQwGg0IhwOM6h8wQUXYN++fQiFQjPAPgLktFotr0WIhZnL5dh7XyKRMIgHTA+vWlpaYLVa2VfX6/Wit7cXANDQ0IC6ujosXboU9fX1iMVi/D1TL+j1evn3mzwZySOfrIooWCgWiyESiQAAq62IaU/sWAomJbIGJZLTffR0gI5Cpd7ZVOfu1fIcqPmMthdrsRaqYrGIYDDIE6G/5Kqrq2OgcXJykv1E9u/fz7R7utkReCWTydDQ0IArrrgC8XgcgUAAUqkUlUoFTqeTAT6v14vXX38d1WoVGzZsQH19PUQiEcxmMy/mJiYmUC6XEYvFUKlUYDQa2cskEomwtKG+vh4ejwdTU1PweDwcqkJTe6/XC6/XC6VSCZvNBrvdDpvNBrPZDIfDgYaGBp4GztUIu91u7NmzBxqNBtdeey3a2trQ1NSESCQCj8cDr9fLQA4tDoPBIBuL0w1OJBIx8EigDzEixWIx33zT6TRLv0OhEDcAGo2G5dM0WT7Wxn14eBh+v5/TCa+99lqIRCJMTEyw1IYW3CS9XrFiBUvZtVot1qxZc0QTLaxIJILXXnsNExMTMBqNWLVqFaxWK/7f//t/CAaDMJlM+PjHP46Ojo55txGLxZhhq1Ao4HA40NjYuCDzcOfOnfjSl74Er9cLtVqNz372s7jttttmAMqlUomZB36/H4lEgoGp5ubmBUHNk1VjY2P44Q9/iF27dqFUKkEkEqGtrQ0bNmzAVVddBZFIxH5A7/Q6RAA3mb0LS5jEeSY3YZSgm0gk5gzSILBHyGQ8UyQ6K1aswL59+3DnnXfiE5/4BLZt24ahoSFMTU3h2WefxZYtW/Ce97yHfRkp3bGmpgbVahUvvfQSB8xYrVZ4PB62ASCJ0tHqtddeYxnWl7/85WPe7z179uDgwYN8/bn22mths9lO7EPANFj8la98BW+88QaKxSLq6urwwx/+8JQBjjqdjhdLgUAAarUaZrMZoVAIu3bt4sVROp3Gpk2bmBnpcDhwxx13YOXKlQxuC9lIwqJhEw0xjqVkMhkHH9Cfs4tYRsRipFC12SUWizngiBhSpwLIWeyJ/nLqWHw6KZBE+CBQkv4ufA2dv/39/ahWqwyyEFuS/IEJvKc/z+R70omWRCJh5YawhGAkAXpCMDIUCiEUCgEAg1AERBqNxmOSZhPgQyEzpHKheyX1SmSPREEw1JfSvtB7qtVq9nMkj0JSxiiVSmb4pdNpyOVyqNVq3kalUmEZsVarRTAYRCwWmwGqkVqHWLPFYhGBQIADHF0uFywWC/uOp9NpViKRRQ6plkZGRuD3+xEMBjE5OYlkMonGxkasWrUKfX198Hq98Hg8sFgsqKmpgU6ng9frhUgk4gGPzWaD2+1mX0e73c6D3JqaGuTzeahUKmanazQaTE5OssxcLBajVCphcnISNpsNFosFlUoFgUAA2WyWlUFkG0Ws00KhAL/fzz6cpVIJfr+fWcXUt0skEqjVagb5rVbrn4HdGPeAvb29SCaTqKurw6pVq9Dd3Q2ZTMbgMZ2jRqMRHo+HmauUYE2gaVdXFzQaDftcJpNJtgmRSCRoaGiAWq3mZGyy+1AqlbBarUywiEQiKJfLnFp9Ou4vxWLxrLyPLYKOi7VYi3VOl1gsRkdHB3bu3IlgMIjm5mbs378fbrcbQ0NDPL0kliOxQkhysmzZMqbVk0+iw+EAML0IDQaD2Lx5M8rlMm699VY0NDQAmF4wkhz54MGD7HdEzalYLGaQr1wuc5hNQ0MDQqEQxsfH4fV6Z6StkYEyNRcKhQIWi4XBR5JIkL8jNU8ymQwHDx7Ea6+9BoVCgbVr1/L+1dTUoKamBt3d3Zw0R3+mUik2cyaj7mq1OoMZQ0UGzdSUkBk0GTITAEkypsnJSQYgafpNnxc9hA271+vF/v370dvbC7PZjEsvvRRXX301pqamUFtby0EX0WgU1WoV3d3d6OrqwvLly/HLX/4ShUIB3d3dR5VWFotFbN26ldlD559/PlatWoXHH38cBw8ehEgkwrp16/C3f/u3824jnU5jaGiIZSd1dXVwuVwLAo579uzBfffdB6/XC71ejzvvvBO33HILN9HkrUPAVSAQYPaW1WpFXV3daQGpYrEYfvzjH2Pz5s3IZrMQi8Wor6/HRz/6UVxzzTUnbR8o5IiARqHUmM6942HMnu4i/x9ih80+BvJyEprZn6kL1Oeff37Gv8mj6e2330Z/fz8CgQCef/55vPHGG9i2bRszpgcHB/HJT36SA2be//7344knnsDu3bt5kXHJJZcc9b137dqF4eFhANOStGuuueaY9/vFF1/E3r17IZFIYLPZ8JOf/OT4D15QDz30EF599VXE43HYbDZ8/vOfx+WXX/6Otnm0am5uRn9/P4N1Q0NDyOfzcLvdAKbvbQcOHMCOHTs4qXPdunW46667jrjerFixAqOjoxgaGmJJW1tbG8xmMwdNEOOFmP0ESIrFYvZjNJvN8w5tSLpGC7i5WIwqlYpDKWhhv1iLdbpLLBYzi3a+EjIlyf6CfAuJKSZkS85VZPNBjEkhIHmueY4Kwci6ujp+XmjJkEgkGMhLJBJIJBJ8PSPmHD2EKc/CopAZCoBRKpV8zaLvs1wu8/OxWAx6vZ79/YDpcDG9Xs9BM8TYLBQKCAQC7E9usVjYk53AaIVCwSw+kkjX1NRAoVBAp9NhamoKwDQrXiaTwWg0Mjgdj8cZDCMGO4GHFNhDSdnUP1BydWdnJ8vAPR4PotEoMpkMHA4HMyL7+voQDoeRz+fhdDrR3t4Ot9vNvUc8Hoder2dwk36ehoF0LKTGqq+vh1KpxMTEBJ/L1GPTZ0iDw2AwyMN9CqohP04C7VOpFAfCEMjY2Nh4hGVCJpMBMN3rVatV7u0nJycZNL7kkkuwfv16SKVSHsTL5XL2zZycnEQgEEA6nYZKpWJvSpFIhNraWvZ1J2k1eRPncjnI5XJ0dXXx772QGUprJlKukR2OEFxerLlrEXRcrMVarHO+bDYbbDYbYrEYampq+Ea4fft2dHV1MU1eOLmtVCo8rVy/fj0mJiZw+PBhiEQipFIpOBwOiEQivvm++eabAICPfOQjcLlcAMCNZUNDA5tbUxI2mRHTgjKfz3MQit1uR21tLaLRKMbHx+H3+1myQjdvYhVSQrNMJuMUUJPJxMwR+nPnzp3o7e1FtVrFxo0bcfXVV89gxZGvCjGBaF+amprYeDuZTPJilGTjxWKRPz+aVFMjXi6XmS0AYEZqJbFgYrEYMzgJgNFqtRCLxdyUFAoFbNq0CTt37kS1WkVtbS3++q//Gg0NDTCbzZwo2NLSwsCcw+HAihUrsGfPHoyPj0OpVGL16tXzLpir1SrGxsbw+uuvI5VKoampCWvWrIHf78f//M//IJvNorm5GXfeeee8C5VcLofh4WFmHDU1NaGhoWHO8Bdh9fX14Utf+hI8Hg80Gg3+4R/+ATfffDM3L9VqFZFIhAOBSC6kVquZyXuqq1Qq4fHHH8fTTz+NWCwGYJql9uEPfxg33XTTSVlAEbhNE2UhSEdMwONhxp7OIsk0/Z5kMhle4AD/ZxNA7A61Wn1WN6e1tbW48cYbkUqlsGXLFhw8eBCJRAIbN25EtVqFUqlEuVzGY489hgceeAA///nP4ff78YEPfADd3d0MZl1xxRVHfZ9XXnmFA2dWr159zPs3MTGBzZs3s7fThg0b3tHxPvXUU9i4cSPGx8eh1WqxevVq/MM//MM72uZCJZVK0dLSgoGBAUQiEezbtw+5XI6HXi+++CIzRi0WC7785S9j1apV826vubkZNpsN+/fvRyqVQl9fHxwOB7q7u2E2m497/0hyRo/ZTEZKJBWyGM/mc36x/rKKGJM0iM7n8wiFQliyZAkUCsURbMnZgL0wFIeuYbNLOIilP8816bZEIoHZbJ5xjclkMgiHwzP62nw+PyMMj4IFhQFUwt5LqVSipqaG+xFiPdL3ViwWWW5NoSoymYxVOQQk0nCegmYIaKKgGbVazSna5AtIPW+xWOQUZbPZzNe8qakpxGIxVKtV+P1+GAwGqFQqtijSaDTcJ8fjcQwMDLA1DgG3Xq+XQTCz2QydToe6ujpWQgSDQXg8HrjdbsTjcTgcDlx44YWcbj0+Po6amho0NTUhEAiwbyQx+XK5HKamppiVbrfbUSqVMD4+DqvVyknhGo0GLpeLlTVOp3MGKErBNyKRCJFIBIFAAKlUCp2dnZBKpbBaraipqYFSqeR0cKVSyd9zsVhEbW0tExVCoRCMRiMHy+zfv5+TxVUqFerq6nD11VejoaEBiUSC5foqlYpB5snJSQY7KdHb4/FwCnV7ezvfR8njM5lMIhAIoFQqQafTYcmSJUw0KRaLSKfTKJfLDMwC/5eaToSVs5F9eDrr3LiiLdZiLdZiHaXkcjnq6uoQj8eZHeZ2u3HgwAG4XC72oxICJwReyWQyuFwuDizp7e1lQ+Ta2lpmooVCoRlS66amJsTjcYhEItjtdjidTkSjUXi9XqTTaYjFYr6J0gSR2FGZTAYKhQJarRYrV67kGyZJBYhJQt4nJNuIRqOIRqNwu92cME3AI6W95fN5/P73v4dGo0FbWxusVuuMMBg6HmJiCeVoNNWj1DiaXAubbtofklID/5dISsdHE2mJ5M8m3H/2zaHpNzFxyEdnx44dGBwc5GZo3bp1aGxsBDAdlECfdTab5ckyyS127NiBbDaL9vZ2rFy5cl7vy2g0itdeew0+nw9KpRKXXXYZGhoacPfdd2NqagpqtRq33norli1bNufPF4tFjI+Pw+PxoFwuo7GxEfX19fMmRlJNTEzgnnvuweTkJNRqNe68807cfPPNzOAj8DsejyMUCqFarTJwVVtbe1qYQlu2bMGPfvQjnphrNBpcd911uP3223lB9k5KCDQK2VESiYSBxnfLz/BoRZJp8macDbrI5XI20n83PRlPZWm1Wlx99dUsn04mk+wh9YMf/ADLli3D5z73ObS1teH+++9HKpXCs88+C2B60PHpT3/6qNt//fXXWYr+kY985Jj36/nnn+egl7q6Onzta1874WPcunUrfvOb33BStcvlwsMPP3zC2zueosTOnTt3olQqQaFQ4M0338TQ0BCA6YX2+973Ptx3333HtD2ymBgYGMDExAS8Xi8ikQja29tnsJPmq0wmw/eg2UAKLVApQOxkXBsWa7HO1FqILUm2INQbUY8zl3x7riJgSxieRCntZzt4Tz7dpAwisIh8qinohTz6gGmWNDH9iClNlhNkDzGb9UhKJgpuIYm0SCRiWXGpVGKljdlsRi6X45DFSCQCpVLJVhL0PiQ3Jqsk6r81Gg330waDAW63mxmZNHSk/lStVrN9Ui6X48CYuro6Dq30+XwIBALI5XIwmUzMzmxsbOT9Gh8f58/LaDQy6zISiSAUCiGXy8Fut0OtVmNqagp6vZ5DWqrVKoaGhtjnkaTV1E9rtVoGw3U6HR+n2WyGRqNhYC+XyzFQSWuE8fHxGdulh1wuRzgchtlsRiqVglgsRigUYhDRbrejXC7DYDBgbGwMpVKJU7ebmppwySWXMJM/l8shGo0yqzKVSk0H/PxZ6m6326HT6eD3+3lgb7PZsGrVKk7njsfjvN4Lh8OoVqswGo1obW3loQEpjAhcJrYzAZKn08/xbK5F0PEMrrP9prJY716JxWJ+LNb0RLS2thZ+vx8ejwdqtRrlchljY2Pw+/3sf0JVLpcRDodRKBRgMpmg0+kgFotx2WWXQSaTYd++fQCARCKBmpoaBkoIeKxUKrjxxhthMpkATLNQ6IZESXqBQAAGgwGJRAIAmA2n1WpZWppMJiGRSKBUKtHc3Izm5makUin2fKQQGGGCL33n1PDmcrkZYTGFQgH79u2D1WrF4cOHeYIsTBskgISmz+SRKBaLjzAWpyYkEokgEonMAENTqRTK5TL7tND0OZ1Oo1KpIBaL8TalUiknBpKMO5PJIBQKIRgMIhqNwm63o7W1FZdeeukMAIcm6aVSCRKJhIHFkZERTpteuXLlvGyefD6PQ4cOYe/evahUKrjgggvQ3d2N//3f/8XWrVtRrVZx4YUX4u/+7u/mBC1LpRImJiY4Qbq+vh4ul2tBBqLP58Pdd9+NkZERKBQK/P3f/z1uvvlmZjjQeUhNFHmOUiLsqWZCTE5O4tvf/jZ2796NSqUCqVSKiy++GP/4j/8Iu92+4M8f7TpEkk4K/xH+jLA5PZOK2IzxeJxNxYUgKbFiaGGkVCrP6NTsk1lyuRxer5ftF1atWoVyuYz9+/ejp6cHra2t+MUvfoHPfe5zM1KZj1aHDx/Gnj17AOC42IqZTAZPPvkkUqkUlErlO2IkhkIhfPe738Xhw4eRzWZRV1eHL3zhC6eFXQxMh8Xs378fWq0W4+Pj2L59Ow+zGhoacP/99x+V3ThXke+W3W7HgQMHkM/n0dPTA7fbja6urhmDEvI6I3CdFttUJCnU6/XzyiHPhFrsiRbrndbxnkNisZjBtblKOKwVApIUVnK0BG4KeSLQk8DIM9VuZKGarbSpVCqshCEwkvoFkssCMwPXKACR/NQp9EOlUiGdTkOtVnOPSf12pVJhv0mSbBPIS8NE6mcJ7CTWIwGWIpEIYrGY95mSp0UiEQ/8ScWRz+dZkUShKgRAl8tlBINBDjZqampCU1MTy6n9fj/S6TQsFgvEYjHq6upYARIOh7lPpqAbjUaDVCqFfD7PHpJtbW1wu90MjJLcmQgNra2tEIlEUCgU0Gg0zAyltcX/Z+/Lg+ssyPWfs+/7kpyT7WRpkzZ0bymlLbRqLVARwXG5bnAdZlQEHBW43h8ojnp17jDuA9cZHS8XHRVUEOaCFC6lpSu0JN2TtsnJdvZ935ffH5n35aRN0qS0pYXzzHSapidnz/ne73mfhc5P/H4/u20ymQyEQiFcLheLJUQiEdLpNFwuFwwGA3w+H8RiMefOSyQSJlKTySSKxSJ8Ph+XINL5R1NTEzvCLBYLli1bxsQeOc3oPIUcQaFQCOFwGAqFAlarlcljl8vF1upVq1YBAL8f6HUOhUIQi8Vobm6GVqvF+Pg4hEIhF9DIZDI0NDQwyehyubilm1q8Lweu1uNYnXS8gvF+VEXUcXkgkUiwevXqq/aD6VJAr9ejvb0d6XSaA4D9fj9Onz6NjRs3ThnW6ARLKpVykDNdBxFeb7/9NgQCAeLxOBoaGs5RPMbjcXz84x+fcpCkEhmxWAy9Xg+v1wuhUMhDBg07NEhRaQuRh7T1XrRoERYsWIBEIgG/389KuNoBiQYFspJQEyFZQk6dOoVAIMC2jdphi9qnxWIxN9eSYrLWLkf5lAaDARaLBQKBgNsLiSwkcobs43T5WtsC2VmIoCwWi7xZpGwwKmNZv349b8fPRi0Jl8lk0N/fj1gsBpvNhmuvvXZaAqharcLj8WDv3r1IJBIwmUy47rrr2BqaSCRgsVjw1a9+dcbCBLfbDa/Xi1AoBJvNxuHgsyEej+Phhx/GiRMnIBaL8dnPfhZ33nknDy2lUonbywOBAG/5rVYr9Hr9JSWzisUifv/73+PZZ5/lbJ0FCxbg/vvvn1dpxnSfQ0Sm1xapkGKETpyuJNBQS6re2uyuWss0Kbuu1pO+d4tIJIKXXnoJwOTi5IknnoDX68Wbb76JQCCA06dP4/Tp09i8eTOOHz/OP7d161Zs37592ut89dVXkUqlAOCcRcNseOGFF1jl2NXVhXvvvfeCH9evf/1rBAIBuFwu6PV6rFu3Dp/97Gcv+PrmilKphAMHDnDbtN/vx44dO1AqlSAWi7FhwwbcddddcDgcF3wbRqMRGzduxPDwMMbGxhCPx7Fv3z4YDAYuFTib8KBSA1LsXGmLgZlQn4nqeLe42O8hKtGYLvKFVJA0+1GcDS3piLCsLX8SCAQ8I55NRl5tVm2hUMiLjNbWVuTzeT4GZzIZjhgCJnO0a1XXlLWpVCq5GEWtVvNlKF6JliS09IxEIvzZRrZsKpqhiCEqmqECGVJEkhW5Wq2ytZ4ypzs7O+Hz+eD3+1GtVhEOh7kBPZVK8eOhgiKyfafTabS0tKC5uRkqlQo+n4/JM7PZjHw+z2pBAFy4kslkmAgTCAR8v6vVKrRaLdra2tgqrdVqEYvFuODlzJkzaGxshM1m4/IUmUwGo9HI7qd8Pg+dTodQKMQEL5W4BAIBmM1m6PV6pNNptltT3EooFIJKpWJ1ZG2OO7lFmpubWahATiwSYhSLRUilUsRiMY5voqzOQqGAYDDIC3q9Xg+LxYLjx48jmUxy6/nSpUtZZFLbUh4KhbicqKenh4twKOKJYo2oKJSUspQxSVn9lwNXKz90dX0K1VFHHXNGfbg+F62trQgEAmhpacGpU6cQiUQwMDCA8fFxzmgsFosIh8MolUowm83ntAFrtVqsXbsWIpEIBw8eBDBJIFHGB20B33zzTQ7gr7XkEvEXjUbR3t4+5aBMWY90IKatem22IQUekz1j0aJFHNBMZB9dhmw8+XwecrkcJpMJ2WwWPp+PH2sgEODtHg0QVHojk8n4D23xaIClrxUKBbdQ08CmVqvR1NQEh8PBB3O/38/q0XQ6jVKpBLlcDo1GwzZVkUjEyhmRSASxWAyDwcDNcI2NjVi4cOGc3tt+vx9HjhyBSCRCT0/PjNbBZDKJkydPYnh4GEKhEKtXr0Zrayv+67/+i1WSW7ZsmbYwolqt8jDp8/lgsVhgt9unNJxPh1wuhx/84Ac4dOgQRCIRtm3bhq997Wts06L3YDAYRCgUglqthl6vh91uv+Tt1H19ffjZz36G8fFxtpnceeeduOOOOy7oM4UG8Ww2i1QqxUopgUAw5aToSlIE1qoszs6qI9JFp9NBo9FccSTpe4UXX3yRYx0aGxtZtbJ06VIMDQ1h//79GB8fx8DAwJSfO378OFauXIk//elPHOxOeO211/jk8pOf/OSc78sf/vAHPll69NFHL/gx7d27F319fThx4gR0Oh3sdjt++tOfXvD1zRW5XA47d+7kdupXX30VQ0NDXBz2la98BQ6HA5VKBU6nEw6H44IyGYFJ1WNraytkMhmOHj2KiYkJOJ1OLsFqamriz3Zqe71aZ4ur9X7XceXgcr2HZrNu06KWiB4iJGuLb8hBA4CdKrVEJH19tZCRpDDTaDRTSqpoTs5ms9yUTZbnUCjEy02yO9OSRKPRIJFI8PNBczctRKn8hTIJKfevVCohFAqxo8FisTCpV6lUpqgeicCSyWSw2WxQq9UYHR1lIlOhUPDt0EyczWY5/z0UCnHmY3d3N9RqNTweD8LhMN8Heg4MBgMikQhMJhNkMhkTrzqdDkKhEKlUiqOdjEYjmpubkUgkeG6lBm+RSMTkqF6vZ5dXMBhkNZ9SqUS1WoVIJEIgEGB1bjqdZvKQBBNULBmJRLgMkZ5fei1ocUsxTFRuU1u0l81mOZeS1J3BYJCLOMk5QwpPsViMtrY2pFIphEIhRCIRzsbcsmUL/x5TNmWhUIDP50Mul+MCUfo9IhUqqS0bGhr4fIzeN2RBr2N2XB2fNnXUUUcdFwkLFy7E2NgYDh06hHg8jrGxMbz66quwWCzo6OhAIpFgW57RaJx2yNRoNFizZg1EIhHefPNNCAQCxGIxWCwWtlBEo1EcPHgQUqkUhUIBK1asYGKFBig6SGu1Wng8Hj5Y0/aOijQUCsWUgYZIHMp/pPBqvV6Pjo4OtmzQAZesASKRCKVSiTNbBAIBb8drC25oiKP7S8QnXY6UomSTIGUkbe5poCUCUqPRwGazobm5GdFoFOFwmA/0yWSSSUVSfdJwR4pKOuldsmTJeUtZACCbzXKrrkajwbp166ZVoFUqFfh8PvT39yOZTKKlpQXLli3DyMgI/vnPfyKfz6OzsxNf//rXp/35YDDITeI6nQ4NDQ1wOByzEmjFYhGPP/44Xn/9dVQqFWzevBnf/va3We1AVhgqx9FqtTCZTGhqarqkQ00ikcDjjz+OV199FcViESKRCDfeeCMeeOCB8zZvzwSyyJOKFXgn902lUl1RJEC5XEaLb6hZAAAgAElEQVQymWQraa0SUywWsyWKhvg6puLAgQOIRqOQSqWct0ro6upCV1cXfD4fnnzySf7+pk2b0NfXh3w+j5tvvhm//vWv8bGPfQzA5DJg3759ACZPSu6555453Y8dO3bg4MGDnKV72223XfBj+v3vf48zZ86gUCjAbDbjkUceueS2aiolI/X3s88+ywqdDRs24KGHHoLX651ChI+OjsLlcnHG6/macWcqgKGSAlo40H1oaWlh22MdddTx3oJmrrOPy0Ra5XI5/puKLuhPMpnky9NMRzPb2WTklbQIBMB2ZYVCwUQfqd0MBgNaWlqY2EqlUkin0wiHwzxPer1eAGBbrF6vR7FYRDabhcFgmKKeDIVCrF4DwM4eul0ifLVaLfR6PRQKBavvqtUqP3dkv6aix56eHoyOjrITye/3w2KxQCwWI5FIQCQSIZFIsKsmGo3ybNLV1YWOjg6o1Wq2WgeDQRgMBlSrVY5r0mg0TGLScZCygSm+iB5ze3s7vF4vF7fQrDY+Po5cLscNzfT4aEksk8mQz+ehVqsxMTGBVCrFIgQiM+m5IwcW5a2TaKGlpYXdIXTuUKlU2Mbe2NjIrwcpDElJSk3pJFYgEpTyI8mh4/P5kEql4Ha7IRaLYbfbsXjxYgDvRENRPBWRrWq1GosXL2aikaKiqtUqlEolHwupLJMeT510PD/qpOMVjNqsqDrqmA8qlQpGRkbQ3t5eP0E+C1qtFh0dHVi8eDEPJgcPHoRarcZHPvIRLnSZTuVYC7VajVWrVkEkEuHAgQMQCATw+/3QarUolUpsAdizZw/nGK5fv55fD4FAwEHY6XQaUqkUmUwGwWAQ6XQaAoEApVKJW6qByWGTNojUhCcQCHjrTSQiKSWNRiMaGhoglUq5YU0ul+PNN9/E6OgoMpkMHziJ4KwdlqLRKDQazRQLAwAui6EtINm3KQuGVJC1AeiUrUPEDSkcicgEJhU+RKrS9pY2njKZDI2NjXN6jdPpNA4dOoRSqYSWlhYsWrRo2stls1kcPXoULpcLUqkU11xzDWw2Gx5++GF4vV4olUp85jOfQUdHxzk/G41G4fP5EAqFoFAo0NDQgI6OjlnttdVqFf/4xz/wzDPPoFgsore3F//2b//G2Z/ZbBbRaBTj4+Ns47FarbDb7Zfs97hareLAgQP4xS9+wVl7zc3NuP/++7Fu3boLvs50Oo1EIoHR0VG0trZCLBZzbuiVcjJDJ2HxePycvDo6qTMajfXW3fPgpZde4hMLkUg0Y8ZgY2MjotEogMnP4a1bt8JsNuPVV19FKBTCXXfdhe9973u4//778fTTT7N1cNmyZRgeHp7T8exvf/sb4vE4RxZcKH73u9/hzJkz8Hg8MBqN2LRpE7Zt23bB1zcXjI6O4sCBA6hUKhgcHMQbb7zBJzWf//zncffddwOYPAFzOp1TiMdSqQSXyzXl+s5uxQXAWWS182VtAUxPTw82b96MkZERjIyMIJvNoq+vDw0NDeju7uYstasN9ZmojneLK/09JBaL2W1SCyoqmY6MJGUkWXSBd5SRNLPRcfty2kdnAzmIVCoVW5GTySQymQx0Oh3bsoHJWJhUKsVtxmRnlslkCAaDXM5FTc/kXpDL5ZzzWJsfSWpvIu9isRhyuRxbeWutzLWqR1rmS6VStLe3o6+vj23Ffr8fer0eRqMRsViM1ZykbI9EIiiXyzhx4gSXfmm1WoyNjXHGNM329JwoFArOBKVSFnotI5EIotEoKpUK5HI5GhoaWEEok8kQjUa53CWbzaKtrQ2FQoFLemrzROPxOOdfUks7iRtisRjHB9DxhZSCVBJptVr5fSmRSKBWq5HP5+Hz+fjxE0gNSZEfpJDM5XJ8nKMsSFJuUnlmOByGXC7Hddddx+peak2nnFCKu7LZbDCZTBgbG+M8R3KXkZKU1KnlcpmJ08vpeqHzrqsNddLxCkat0qKOOuaDYrGIYDA4pXm4jnfQ0tKClpYWzv+Ix+PYs2cP0uk0Fi5ciN7eXhgMhvOSIyqVCitWrIBQKMSePXu4za2hoYHzXCgniwiOD3/4w1NeE7JrUugzkZDhcJhPDokMoTw5skKTRZrsBpSHSFs54J1tNtkORCIRNm7ciAULFnAWIQ0M9KfW4k0DLCktiXwslUp8G+Vy+RxCkgYusobTfaQ2PNoc14ZVq9VqGI1G/n8icIvF4pRszdlQqVQwOjoKp9MJuVyOtWvXzph/4vV6cfLkSUQiEfT09GDZsmXYvXs33nzzTVSrVVxzzTX44he/eM7PJZNJLo2pVCowm81oaWk5b5P04cOH8cQTTyCTyaC5uRmPPvoo276pNIe24Hq9Hs3NzZyVeSmQzWbxy1/+Etu3b2ei/NZbb8VXv/rVC2rFppxOKgrK5/OIxWLo6emZ0+/T5UC5XEY8HufWxVqiUSaTsXLhSlNiXsnYtWsXK6cVCsWMLdOk5gaAlStX4t5778Vbb70Fi8WCZ555BrlcDg8//DDGxsbg8/n4s+Smm26a0/FscHAQr7zyCisSvvGNb1zQ4wkEAnj55Zdx8uRJyOVytLS04Mc//vEFXddc0dfXh8HBQQDA66+/juPHj7Ml8Pvf//4UIlepVGLx4sVMGFDD59kg1X2tuolwvgKY9vZ2NDU14fTp03C73aysWb9+/UV+5JcH9ZmojneLq/U9RAu/s7MjKS+clF61Nm1SRqbTaYRCISbMiOihRfJ7qYiUSCQwm83IZrNIJBJcGCKTyaDT6ZhcUqvV6O7u5vw+KgwhspLy1Kk0hOZkiiMymUzQarX8OKVSKSwWy5TrCwQC0Ov1s6oeadFDNubW1lZ4PB4IBAJEo1Fu4iZFYalUQiAQgN1uRzweRyaTgdvtZrt1d3c3PB4PQqEQNzzL5XLo9fophTKUWymVSqHT6bjEhZSVRK6KxWLOfSRrOuUatrS08GxOJLZSqeR8cYPBgHA4jHw+D6lUihUrViAYDCKXy8FkMqGtrY0zgqvVKgsOAoEAmpqaIJfLUSgUuLCwVCphbGyMsxkJVPZTW9pChT5qtZrvQyKRgFAo5HbrfD4Pg8GAW265ha8rEokw4R6NRpFMJiGRSHDNNdcgm82yipKIerlcDqvVyudGlEmv1Wo5lupyoVgsXlWfQYQ66VhHHXV84KDT6WAymdDd3Q2r1YrBwUGEQiHs27cPwWAQWq0WCxcunNN1KZVKLFu2jAOcJRIJ8vk8TCYTDz2pVApvvfUWK9m2bdt2jk2PgrPVajVSqRQHNicSCT64lctlLocpFotM7NUSkMBkWzapHumkk4pcaCjTarVYt24dbzRjsRhbUSh/r1AosM2DiMXa0GwiGik/hvJbyPJCl6WsoVQqhXA4zFt0IkIpu0UsFvOQ1dPTwwPcfIbaXC6HgwcPIp1Oo7W1FWvXrp32coVCAYcOHYLP54NKpUJnZyd0Oh3+8pe/IBqNwmAw4K677jrndSoWi5iYmOAMG7PZzMHZsyEYDOL73/8+v78eeughVmCmUikEAgEessj2Mhcr+YXixIkT+MlPfsJFFQ6HA9/61rewYsWKeV9XuVxmspGIaCKZDQbDe65urFarSCaTXLhE71vKldRqtRwMXyca54djx47B5/NxJqpKpWL70tl4/fXXUSgUIBAIsG3bNqjVanzoQx/Chg0bcOutt+Kee+5BMBjEjh07OM9QKpXiwQcfRH9//3nvyz/+8Q94vV6IRCJcf/31F2wJ/vnPf44jR44gn8+jvb0dP/zhDy+ZrbpUKmHfvn1wuVzIZrN44YUXWHWyaNEi/PSnP5023qA2823p0qXI5XIYGxtjK7ZYLOYTJArgJ+uaVqud01JBKpVi4cKFnC12oTELddRRx5UHKgY529FD81o2m2XLbW2pDX0+kbpMpVJxqaBUKr3sZWqkuksmk9xkHAgEmGil5TepGKPRKKv2aKlPeX65XA7xeBxqtZqVbhRd1NLSMiWLkBboRPBFIhGoVKpzsh6JeKSlPUUoERk6MjICAHy/iUhNJpNQKBQYHx+H3W4HAF7aHT16FK2trWhpaYFOp8P4+DjEYjEX0lDBTDAYZJKuUqlAKpWy+lKv13OGJLmtTCYTE6C1pTTBYBBSqRRarZajleicpaurix+/x+PhZdmGDRvgdDoRCAQQDAZhNpu5MZvOH2QyGSYmJriJm4rSyPE0OjqKzs5OPvbQYvPs159AOYy1isvx8XFWmFLxGmVzUsxTJBLh0qFVq1axU4dEFqlUCkajEQaDgZ1j+Xye70/dWj031EnHOuqo4wOHcrkMi8WCUqmE3t5eVKtVHD58mDe6ZLe+9tpr53QwKRQK6O7uhlAoxMmTJ7m1jbatbrcbmUwGhw8fRiaTQTwex6233jptCzMdyEn5SBYD+rlcLseDEtmvgXfk9jRQVKtV/ttoNPKgQ43QqVSKg6ebmprQ3t4OiUTCFolQKIS3336brRVkX0mlUlOsOUQ4Etkol8tRqVR4q0sED4UukwKOrIHRaJQbvYl8jEajcLlcMBqNaGpqQmtrK58on48UCgQCOHbsGMRiMVatWjXjifLExATGxsYQDoexcOFCLFq0CM8//zyOHz8OgUCANWvW4KMf/eg5P+d2uznrTKvVQiqVorm5eVZSrVAo4NFHH8Xw8DCkUim+8pWvcDFNPB5nwlEmk8FgMKCzs/OS2RgrlQr++7//G3/+8595K71t2zbcc88981Y30jBGgzUAtsgoFAoeyt4rkK2GNtoEep4vhNSuYyqoeTqbzUKhUJyT51iLJ598EtVqFWKxeIqCWCqV4uabb8bIyAieeuopqFQqfOELXwAALFmyZE73IxQK4dlnn0WxWIRcLse3vvWtC3o8O3bswN69e+H1emE2m/GRj3xk2hKpi4FUKoWdO3dyDMErr7zCn5e33XYbHnjggTlfl1wuR3d3N0KhEDweD0qlEjweD8xmM+x2+wUXRhw+fJhPxnp7ey/oOuqoo46rBzSPKZVKmEwmztEjIozalinWh7J86Q9l/hEJeTls2bVt04lEgme0TCbD3wfeUSlSdAdlp7e3tzPRWqlUEA6HWUBAVupIJMKzOdnYiWCkmZpIz+lUj3Q/gXcK9oRCIRYuXAi3241wOIxKpcJ2a5PJhHA4DIPBAK/XC51OB6vVinA4DABwOp1IJpNwOBxYuHAhPB4PotEoz2JEsrpcLlb/k/PJYDAgFotx7jZFIYlEIlgsFkSjUX5c4XCYVaRyuRyLFi2CXC5noQCJJcxmM6xWK8bGxlAqlRAOh7F06VIMDg5iYmICgUCA45WI2KXbdrvd7Poh4pHOLZxOJ7q6uuZUohiPx9k2TY3l1Ji9efNmvlxtlmM+n4fH40GlUmH3Wu0SncQeCoUCVquVs+fpftJ7vo7zo0461lFHHR84FAoFSKVSNDU1ceZhrSx/YGCAg/TXr18/KwFEodJyuRzXX389rFYr9u7dC2CynEOlUqGlpQUejwdSqRRnzpxhAvGWW27BkiVLph3IKCiZDpxEyhFxSNtnUj0SAUn5igQiIelxkyUik8kgFoshm81yCY7ZbIZOp4PNZuPGviVLlkAkErGlmjJk6HFTUzZtF7PZLNv+alWPMpmMh1ciROn/6brJ+ioUCqFQKGAymTAxMYGBgQE0NzejubkZDQ0N09oBgUlC7ciRIwiFQjAajdiwYcO0r1m5XEZfXx/cbjcUCgUHkL/44otIJpOw2Wz4whe+cM6Qk06n2apBdqPm5uYZ7duEX/3qV9i9ezeEQiFuueUWJlyi0ShbqpVKJcxmMzo6Os57fReKSCSC733vezh69Ciq1SoaGhrwzW9+c96WyVKpxOVEBKlUekW0OZfLZVbtnq281Ol0MJvNPHzX8e4QiUS4jZqiH5YtWzbj5U+ePAlgMs+xoaFh2st86Utfwje/+U3+HduyZcuc7stzzz0Hp9MJoVCI3t5e3HjjjfN5KAAm3ztPPvkkTpw4wcqIn/3sZ/O+nrnA5/Nhz549KBQKeOONN3DkyBH+jP/GN76Bm2+++YKul1TXdBJLKvbm5uZ5N1wPDAxwvtfKlSsvu4KpjjrqeO8hEAiYUNTpdKhUKlMai7PZLCu/qAyxNkuW4oBqv3epSEixWAyj0chkIeX6pdNp6PV6JkANBgNkMhni8Tjkcjkfb4gQa25u5iIRYHKpVa1W+ToLhQLC4TAEAgE7p3Q6HVKpFKvoqEhxJtUjWYRzuRzsdjuUSiXcbveUXMbGxkYEAgFucB4fH0d7eztisRiAySV7NpvlcxmlUgmv18txSEqlEm1tbfD5fAiHw1zOKJVKYTabEYvF+FwiGo2yvVuv1/NiXaFQIBQKIZVKcd74smXL2GUFTJ5b1LoBRkdHEY/HMTExgWuuuQYymQxDQ0NsHaesSlJZKhQKuFwuNDU18bkBEY/lchnDw8NoaWmZVgRCMx4AXjLTuZDT6USxWIROp5siIggGgygWi0xQhkIhiMViNDY2TiFk4/E4UqkURCIR1Go1Z0zWNlfTe7uO86NOOl7BqNu86rhQ0Adu/T00PShPhAYUi8UCt9uNfD6PSCSCWCyGEydOoFgsIpfLYfPmzdNu2UqlEm9MafPZ29vLGY9CoZBzVii/RSwWw+v1IpPJIJFIwO1244Ybbjgnb4dA7dZarZYt0pRzQuQPZXfRwZoUhTRgkcqRyl4o1JqGM7IYhEIh6HQ6Ls+glrha0lWv18Nms7FtmoYC2hJTIyoVdJBFg9r+SqUSExS0ZabrymazU5SRqVSKcyCDwSCGh4dhs9nQ2to6rf04mUxyqU93d/e0SlJgcoCcmJiA3+/HggUL0Nrain/84x9wOp2QyWS48cYbccMNN5zzczTMZTIZGAwGbpaeDS+//DKeeeYZVKtVLF++HI888ghn+ITDYYyOjkKlUsFsNqOzs/OSndjv378fP/nJTxCNRiEQCLBx40Y8/PDDc9oeEyiXNJfL8fcoG266oetyfQ5RcU04HOaTAgBsqTKZTNDr9fXPw4uM5557DqVSCVqtlqMdPvGJT0x7WVJMAEB3d/es1/u///u/qFarkEgkuO+++877PspkMnjppZc4fP/jH//4BT2e3/zmN9i7dy/y+TxsNhseffTRC7qe8+HUqVPo7+9HOp3GCy+8gEAgALFYjNbWVjz22GNspbtQiMVitLW1wWAwcBTE6OgogsEgN4aeDz6fj6MXFi9ePOPx6WpBfSaq492i/h6aRG20g06nQ7lc5hn07JIainugdmxSXF9qElImk8FisSCdTiOZTHIeJ6kUhUIhk28U5UGKNrIdV6tVdhxRJiHZlMvlMpc4xmIxJtM0Gg0v2oHJuJ9aV0UsFptCOpI9lzISu7q6MDY2BgA8k5tMJsTjcS6eOX36NDo6Olh0kMlk4HQ6kclkYLVa0d7ejomJCbZaq1QqtLW1QS6Xw+fzIZvNQqfTQS6Xw2QyQSKRcLFMIBDg26OCFIFAgJaWFrZJ+/1+HDhwAMuXL4fdbkcymeQZnizI1WoVIyMj/NwuWrQIMpkMx48fZ6Ws3W5HNBo9R/Fos9lYtEA59aVSCaOjo2xvng7lcpmzuimeyu12QyqVYtWqVVzYWCwW2Vqdz+cRjUaRSCQgkUjQ09PD5zGUCZlOp9lxRiUyqVSK8xzfi0iBq/UzqE46XsG4VGqXOt7/kEgkWL169VX7wXQpURtiTIq7xsZGLF26FOl0GoODg/D5fEgmkzh58iSTZFu2bJlCclWrVUQiEVSrVSZegEnFV29vL8RiMXbv3g0AbEVxOBxwu90Qi8WIRCI4ePAg4vE43G43PvzhD8PhcMz6mpFtpVKpsLWFhrhKpYJUKsV2ASLviBCkYZnsAjT4UGYNALaQhMNhJhuHh4d5Y1troaktqKmF3W7n4Y3+EPkYi8UQiUQQiUQ4f4cuQ1tf2iKTBZt+3u/3Q6PRIBAIwOPx4MyZM+jp6UF3dzffh1OnTmF0dBRyuXxWpdOxY8c4NJwG0z179iCXy6GzsxOf+9znznlcRKbGYjEexmYiNQmjo6N47LHHkE6nYbfb8ZOf/IRVtdRSTeU5XV1dl+T3tVKp4IknnsDf//53lEolKJVK3H333fjUpz415+sgez2RxQCYDJ7tOHWpP4doOx+JRJDL5XjjLZPJYDQaOfi8jouPbDaLt956CwB48SKTyRCLxdDZ2YlSqYQHH3wQ9957LwCwqg8A7rjjjhmvd9euXXC73QAmW9SpsX6299H27dvR19cHYLLc69///d/n/XjGxsbw17/+FX6/HyqVCp/61Kcuia364MGDOHPmDKLRKP7yl7+wouP666/Hf/7nf17U29JqtVi0aBF8Ph8CgQAf385nuU6lUjh27BgAoKmpiW1vVzPqM1Ed7xb199D0EIlEUCqVvMwg1SPNcDTTUT6gVCrlTEUiJS8FCSkQCDjqhbLKSZlJlmuxWMxKRMoBLBQKbA9PpVJQq9XIZrP8eUlt0DSPx+NxtnRns1nOUEwmkxCLxUgmk7BarVNUj6QUJMeFXC5HqVRCJpNBZ2cnFxWWy2WEQiGOFwqHw9Dr9RgeHp5SwCISieDxeJDNZmE2m9Ha2spzZjabhUwm44XT2NgYgsEg1Go1dDodDAYDxGIxF9JEo1Ho9XoUCgUuoCkWi7DZbFCpVBgdHUUikcDBgwfR3d2N3t5exGIxaLVaBINBtobXEo9DQ0NYsGABZDIZ3n77bS5AczgcSCaTUKvVSCQSkEql8Hq9aGxs5Nsn8YRQKEQ2m4VSqeS5kwhgim2iHEapVIqxsTF+LLUiApoXiSyl116hUODaa69l9xa9F9LpNORyOYxGI583UswVnRddblyt/FCddKyjjvcp6oPRzCDCLJfLcbGB0WjEkiVL0NDQgCNHjuDUqVPIZDIYHBxk8mvr1q28LSNFFRV/1EIsFqOnpwdCoRC7d+9GOBzmrZnD4YDP54NQKEQikcDJkycRi8UQCoWwfPlyrF+//rwFIrSlVSqVrBCkQUqr1aJarbLVJZfLcTs02WKo1Q4AE4jlchkmk4nbr6m4hoKrKTxarVZzgyENiLT9o+eWMoFIIVmbC0RqzVgshmAwiEAggFAoNKUwRyQS8TBVa79OJpNIJBIIBoOwWCwIhUJwu91YvXo1tFotdu3ahVKphPb29hltntlsFqdOneLCGqPRiJdeegkulwsqlQof+tCHzilTqVar8Hq9bCOSyWSw2+2zElrZbBbf//734ff7oVar8Z3vfAc2m40HQZfLBbVazRmOl+L3NZlM4pFHHkF/fz+q1SpaW1vxgx/8AJ2dnXP6+XK5zMM6QalUcpbPXHCxH1elUkEymWS7D5HrYrGYVY0UHl/HpcPrr7+OXC4HtVqNHTt2AJh8v3zta19jlcePf/xjDA8P4+c//zn++Mc/olqtQiQSTdsIT3jttdeQy+UgFApx66238vdnez1feeUVBAIBSCQSbN26dd6PpVKp4PHHH8fp06chEomwePHiS9JWTYRjNpvFs88+C2DyZPPuu+/G5z//+Yt+e8Dk82a322E2m+F2uznSIRaLobGxEVardcrly+Uyjhw5gkqlAp1Ox2VX7wfUPxPqeLeov4fOD1pGq9VqnkXJ6QKACSKRSMRxQLVt2cDk8Vwmk3FL9ruJQ6EZXaVSIRaLseU6k8lwmzORiLFYjEm2arUKvV6PZDLJ9yGXy3F5jEajQalUgtlsRkNDA7t7qKVZJBKx+pMyDBsbG6HRaKbNeqQZhpbUsVgMgUAAIpEIqVSK8yj9fj8MBgN8Ph9nSuZyOb5Oap2mKBmfz8cZhBaLBWq1Gk6nkyOliHiUSCQ8i4fDYXY80eMvlUp8TBgZGUEikcCpU6eQSCSwbt06bgEndSXN/XRbAoEACxcuhFwux/79+5HL5TA0NASHw8HnL0S0BoNBPh+h15BIWnJkkYiCQAILen+NjY2hUqnAbrdj3bp1fDm/38/W6Xg8zrepUqmwbt06RCIRtsmT6IQUnBKJZIoKk7Iw65gb6qRjHXXU8YEC2RloIKCDGlkxm5qaYLfbIZVKMTAwgHg8jqGhIbYt33zzzVAqlchkMgAAg8EwYybjwoULIZPJsHPnTm5JLhQKsNlsbO0gFR8d6EdHR7Fy5UosX758TgczGlTI1kEqQYlEwsUg5XKZbQK1RTR0uVKpBIVCwRvH9vZ2lEol3gbSwJJMJnk7WLvdVqvV0Gq1vPmdblNdmwuk0WhgtVrhcDi4Xdvv9yMUCsHv9yMYDCKRSLC9neyytQTrxMQE22kDgQCMRiOOHz8OsViMDRs2zGh3OHXqFDweDw8SIyMjOHLkCMrlMhYsWIBPf/rT5/ws2S8oXPt8tupqtYrf/e536O/vh0gkwqc//Wls3LiRT/Y9Hg/UajX0ev0ls1QPDQ3hkUcegdvthlAoxKZNm/Dwww/P6T1VrVaRSqWQSqV4qCOi+b3KdaOcJBqUgcn3lEqlgtFo5LymOi4Pdu3aBQB4++23EY1GAYB/T6kJ3OPx4M9//jM8Hg/efPNNAJONnzPlOQLA3//+d/58+c53vnPe+7Fv3z7s3r2bc2Mfe+yxeT+W1157DW+88QZisRgaGhrwla98Zd7XcT6cOnWKCcenn36a1TTf/e53Lyh/cr6gjEqTyQS3241sNguXy4VwOIympiZedB07dgypVAoSiQTLli2r5zjWUUcdFwyBQMBW7Eqlwo3YZ8+HRD7WxvZQqaFAIODZklSEFwIi7chyXSgUpliu5XI5l6gA4Lx0jUbD5KFSqWS7LRFTRLIZjUYmzkjQQIQrRdOk02lotVq+PRI00JwlFApZWanRaKBUKjExMQGlUolcLodyuQyr1YpQKMRlfRMTE2hpaUE+n+dYJCrP0+l0aG5uZjsxRRYtXrwY4+PjmJiYQDQaRaFQQENDA+RyOTweD4sCisUiGhoamDQkcnTRokUYHx+Hx+MBALz66qvYuHEjW+mVLnoAACAASURBVKHp+TaZTKhUKhgZGUEwGIRQKMSCBQuwadMmdoINDQ2xXVytVnNGPEVLkVKWVI1CoRDpdBo6nY7t39VqFcFgEJFIhFWnHo8HKpUKy5cvZxUuxbwQ0RiNRhGLxSAWi9HQ0AC9Xo9QKMQqXTpXUqlUsFgsEAqFbA8ncUU9z3HuqJOOVzBILVBHHfMFfci3t7fXN7PTQKFQcIAzDQ30PMnlcqxevZoVfEePHkU0GsXw8DATcWvWrIHVauU8j5kgEongcDiwZcsWvP7663C5XBCLxcjn8zCZTHw/5HI5EokE+vv74fF44Ha7ceLECaxduxY9PT1zHrLIEk0Kw7NJSLJRx+NxbuomawY1GVcqFYRCIZTLZQQCAXR2dkKtVrP1I5PJIJ/Po1qt8gDp9/v5ttVqNVQq1RT7yXSb6tpBUqvVwmaz8YHe4/HwQOT3+6cc5OmgT7aIRCKBeDyO0dFRTExMoKura8ZilFKphBMnTsDj8cBgMCCXy+Ho0aMIh8Mwm83YunUrenp6pvxMpVKBz+fjDbhKpYLNZpv19+rtt9/Gn//8Z5RKJaxcuRJf/vKXOSs0EAgw4ehwOC7JSf1rr72Gn/70p0gmk5BIJPjyl7/MbcDnA+XZ0AaewuMvhNC7GJ9DhUIBfr8fkUiE75NEImELT719+vLj4MGD8Pl8GB4exsDAwJTM166uLjz33HOwWCz40Ic+hJMnT2LXrl3w+/0AMGskwaFDhzAxMQEAsFgsbK2e7X30wgsvwO12QyQSYeXKlbBYLPN6LJVKBX/4wx/gdDohl8uxePFifPazn53XdZwPPp8P/f39yGaz+Otf/8pWvctFONaC1PCBQIDzvYaGhvjkkF6n5cuXz1qgdrXhapmJKPKlUqkwEXEhf5/vMgT67Kz9e7rvXej/1VpIr3ZcLe+hKxUU5aNSqXiepBxves9TmZZIJOJ5m+KESDEoFotZYTZfFeRslmudTgeFQgGz2cwLdqlUyrOnRqNBMpmEUqlEPp/nohMqHSkUChzrUlu2p9FoOPuRYpmGhoawaNEifpx0fbSwVygUvGRvb2+Hy+UCAH7ezGYzEokESqUS5HI5RkZG0NTUhHw+z2rDbDbLzyHN41QCKZFI0NraCo1GgzNnzrAC1GKxoLOzE2NjYwiFQohEIiiVSmhpaWFCT6FQsHNGq9Xi9OnTAIAdO3ZgxYoVaGxsRDQahU6n45xHYLJtm44vCxcuxObNm7Fnzx5Uq1VWPFarVSgUCmSzWT5HIcK1WCzyay2VStnSTaRkMBhkgYBcLkc2m4XJZOLWanIsUVwQMJkHXdvKXUuK0+JdIpFAo9Hw46BzKrVaDZlMNmfXz8VEpVK5Kj+D6qTjFQxSYNVRx3xBocnNzc116fc0IMUdMEmy1H6Ak2JmxYoVUCgUkMlk6O/vRyAQwOjoKJLJJGKxGG666SbYbLbz3pZQKERzczO2bt2K/fv3Y2BgAGKxGOl0GkqlEk1NTQgEAhAKhSgWi4hGo+jv74fX68X4+DgWLFiAlStXorOzc94btVoSkoaibDYLoVAIjUaDaDSKaDTK1hba7FLxDDW70UFYLBZzmDJtoYmEJDUl5fZIJBJWx9Ewp1QqIZfLpx0SadBSKBTQ6XRwOByIRqPw+/04c+YMRkZGkEwmp1jjqSlxeHiYm3HlcjkmJiZ4wK09MHs8Hm7Va2hogMvlwujoKCQSCRYvXozbbrvtnPtGbXjpdBpNTU0wm82zlq+kUik89thjSCQSMBqNeOihh/h1jUQiUCgUMBqNc2q9ni8qlQqeeuopPPXUU9zY9/DDD0+xlswEys6k3D3aMr8b4uHdfA4RmR2Px3kBp1AoYLFYYDAY6gqs9xBkgT58+PCUgpEbb7wRTz/9NP97x44duOuuu/DXv/6Vv7d06dIZr3f79u3IZDIQCATYtm0bf3+m99H4+Dj279/PmUt33nnnvB/Lb3/7WwwMDCCTycBiseCee+6Z93XMhlgshj179iCdTuOZZ57hHN6HHnroshOOtbBarTAajax0cTqd/Lvf1dU176brKx3vxUxERMpc/9SShe831BKQM3091/9/r1Cfqy8exGLxOQWJJAIgpRy1HANgpSFZW4kQouU1kZDzWdAbDAYolUqOSqISEp1Ox/FB0WgUUqmUY36o1ZkW4JThGI1Gp2QayuVyGAwGaDQajihqaGhgFR/F7NBCVygUcu45CRHkcjmXrFCRSzKZhEgk4gxCqVSKRCIBlUoFr9fLn9tkT6eimXw+zw4dUgICk0uoxYsXY3R0FOFwmIt0urq6uNiFnp+Ojg7Oo5dKpexyWr16NbuF+vv70drait7eXsTjcahUKlQqFWg0GrS3t8PpdHK81IIFC3DDDTdg3759AIDh4WG0tbXxeYJQKITX60VzczPP8rWFRfTYVCoVk7qFQgEGgwFjY2NQqVRobm7muKRUKsWKzUwmg3g8DolEgmQyCa1Wi5UrV7IKlm4rnU5DIpHweQ+RueVymcnr9wIU83S1oU461lFHHR84kC2TDj4k2QfeURiLxWIsXryYA6UPHToEj8fDOSFkyWhrazvvICwQCGC1WnHDDTfAaDTi0KFDEIvFnPtCAc2hUIgtFx6PB8FgEG63G06nE62trbjmmmuwYMECaDSaeQ/ftcpCCkKm7W0wGOTngYYOej4KhQIPAAKBAMlkEtFolK0FZrMZMpmMg8LJwl2tVpHJZJBMJuF2u1n9qNfr2TYyG+lGBKTJZEJzczO6urrgdDrh8XgQCoX4NYpGo3C73VzwIpFIsG/fPkQiEXR0dHAJjlAoxMmTJ+HxeLh0Z2JiAqlUCk1NTdiyZcs5KqxSqQSXy4VYLMaFL+drq/7Nb36DwcFBiEQi3HnnnWhqamJyVyaTwWAwoKmp6aIPDIVCAb/4xS/w4osvolKpwOFw4D/+4z/Q2to6689VKhUkEgmOCyAlgFqtvuwneGTr9vv9bOMHwHZ8rVb7vlHNXM0IBoN46aWXmKiWSqW477778KMf/eicyz755JM4ffo09u/fDwB4/vnnsWvXrmkJt507d/Jn8de//vXz3o+//e1vnMPY1NQ0b9JxdHQU//znP+F0OqFSqbBixYopZOe7RS6Xw65du1AoFPDMM8+wAuPee+/FzTfffNFuh0AFYXNVQIjFYs6o8ng8MJvNMJvNc858/SCCLH6lUmmKQmu6PxeK2tdwNmXhTH/P9bLA+VWR8/2/6b6mf5NS/d1iOiKS7Lm1X9e2Tdc+L3VcWaidSyk+h3IRidSjmYTy+mqJJ1JBAuBYISr7m8ttT2e5VqvV0Gg0sFgsiMVinDNcKBSgVCq5HFKlUjEBSCpAKhjRarUQi8U886ZSKX4vUlwTlftRDmY8HkcqlWLCS6PRQKVScUGMXC5HMBiEUqlkxbzBYGCykmZVEhoQ8UhkISlN5XI5RyfJ5XK0t7dDpVJhfHycY406OjqgVqsxPDyMTCaD06dPY8GCBZBIJAgEAgiHwxwvtWbNGgwODiIej2NiYgK5XA5LlixBJpOZQiI7HA6MjIzA4/FAKBSiq6sLGzduxIEDByASiTA6Oorm5mZoNBpWsVKjNRGw+XyeX/dyuYx0Og2r1coKTwCsUFy/fj2LPMbHx/k8p1QqIRwOc8O3UqnE+vXrueSSPuczmQyUSiWMRiPEYjG7xwBw3mgdc0eddKyjjjo+kCALB21XpztRo4MiNevt3LkTHo8HXq8XfX19EAgEuOmmm+BwOOZEPBqNRixduhR6vR5vvfUW/0yhUOA2vWAwOGWY8Xg88Pv9mJiYgNPpRENDA9rb27Fo0SI0NTVdkFqOci2lUilvcmkDS2rHdDrN21Gyw9BBngZ4CmMmpahUKoXVaoVEIuGsRtoKFgoFeL1euN1uKJVK6HQ6zkdUKBQznijTUKjX69HW1gan04nh4WEmZSm8m0Kd4/E4hoeHkU6nEQqFYLPZIJFIUCwWsXv3bpw4cQJisRjxeJyHt2XLluFjH/vYOa+h3+9HOBxGuVxGQ0MDzGbzrM/3gQMH8Oyzz6JUKuG6667DJz7xCaTTafj9fgiFQmi1WjQ2NnLW5sVCJpPBD3/4Q+zduxcAsGLFCvzoRz+atZCoWq3yoE2DmkKhgFarvewqQlLVkpUemHyPGgwGWK3WWZWldVx+HDhwgEmVSqWC3t5eRKNR/OEPf8C2bdvOUcnRkA5MZjp+/vOfx3e+8x1utgYmVchHjhzhyyxfvnxO94M+v2666aZ5P44nnngCY2NjKBaLaGxsxP333z/v65gJpVIJu3fvRjqdxv/8z/8w4Xj33Xfjk5/85EW7ndrbCwaDAHDezylCpVLB+Pg4BgcHWY0+l+f9/Q7K8aKT09qv50sm1pJic/3zfiLHiHysVXLS19N9b7b/r73OCyEw6bmtLaU4m5ysE5XvHQQCAeeEU6FhNptlUlEqlTKhRgozIsgomodcO2SNrlXNzXa7dL3xeJxdNFRuYjQakU6nuV25WCwySZhIJKBWq1kRR7dPziJyZYhEIuh0OqjVaohEIuj1ep5DM5kMDAYDFxvG43F4vV4Ui0XEYjHIZDJoNBr+XZDJZPB6vdwAXq1WYTAYeJZLp9P8O1MsFjlLnohKmusNBgNHJikUCjQ0NEAikWB8fBzRaBSDg4Po6OjA8uXLcfToUeRyOQwMDKCnpwctLS1wu90IBoPQarUoFovo7u6G1+uFz+cDABw+fBi9vb0AJiOdKPe9paWF45OEQiE6Ojqwbt06vPXWWxAKhZiYmEBTUxOXxQiFQvj9fs4HJVJWIpEwWR0KhVgQQmSqwWDAkiVLeI4nZSzZ0kulEjweD2QyGaxWK0wmEwKBAGd1kgijtkSGegBEItEUx1wdc0OddKyjjjo+kFAoFBCLxTzcENFy9kmFQCBAW1sbtmzZwvbeSCSCiYkJPrDffPPNaG9vn9OASsOGTqfDsWPHcObMGd7kplIp2Gw2ZLNZRKNR/n4t+ajX6zE2NoajR4+isbERCxcuRFdX17yzzIBJiwnZLYDJk/1YLIZUKgWlUskZMIlEgu3KtNnMZrPcLk0nVeVyGZFIBMDkgC+Xy2E2m1EqlbidulAooFAowOfzcfueyWSCyWSCSqWaUQFIFgedToeOjg6cPn0afX19GBoa4kbB5uZmAIDb7Wb1ns/ng1KphNvtxv79++Hz+SCXyzmPp7e3F3fcccc5CsZCoYCRkRGk02nOD9RoNDM+l5lMBr/61a+QSCRgMplw3333oVgswufzoVwuc27lxSbQ0uk0HnzwQRw7dgwikQg33ngjHnnkkVlJB8pGqs1tPF8+6aUAvV8CgQCXw9BAbrVa31eZcu8n+Hw+aDQaZLNZ3H///Tyo/9///R927tyJpUuXYtu2bejq6gIAjIyMAACrVROJxJRmawDYv38/29C6u7vPex/27duHvr4+VKtVaLVa/L//9//m9Rj27t2LgYEBjI6OwmAwYOXKldi0adO8rmM2HDhwAMFgEH/84x85M+pStlTH43FeHkQiEQ69nw2HDx9Gf38/BAIBWltbsXLlyg9MbAERi9ORi+cjFolEIItlnbSaGbUW6XeLmQjKufwB3pnt5kNY1r6eRGYlk0lur61VVX7QX+uLCYlEMsWeTPNmJBLhZmyFQsHkn0ajYfUbEWs0a5LLh2bamV4nkUgEo9GIfD4/xXJNLddms5nnW1pAULu1QqFgkops2ZRpaDAYeK4l8tFkMsFutyOVSnHWdywWQ0tLC8xmM/R6PcbHx1llSYpIIg4plokI+HK5zIU3xWKRZ3apVIpIJAKj0YhUKgW1Wo1yucx5iJRLmEgkIBaLYbFYIBKJ2FY9MDAAh8OBNWvW4NixY4jFYhgcHER7ezva29vZeaRWq1EoFGCxWCCTyeByuVAul3H69Gk4HA4YDAZu/JbL5WhsbITP58PY2BiEQiEcDgeuu+46HDx4EEKhEGNjYzCZTLBYLDCbzXxsM5lMsFqtCAQCyGaz/JwGAgEugKHnpa2tDY2NjchkMlyK2NraisHBQVaGRqNRKBQKLFq0iIUWlUoF6XSaI6eUSiUfT+l9RQ64ennh/FAnHa9gXI0hoXVcGagdlOqYHmSxpuIMg8EAYPoCJ4FAAL1ej02bNkGpVKK/vx8TExNwuVw8AG/btm1OikdgktyTy+XciHb06FHE43He7NF2kzJslEolb+/i8Tji8ThkMhlMJhOGh4dhNptht9vR09MDh8MxJWdtLs8DhUynUino9XoepEZHR6FSqSCVSjms2e/3o1Kp8NZZp9MBAA96VMojFAq5MZuark0mE8rlMuLxOKsgqQjG6/XCYDAwuUek8NmgXMk1a9YglUph+/btbH9obW1FsVhkO8Xw8DAMBgOkUilOnz4Nr9fLVg+RSIS2tjZs2LABa9euPed2XC4Xb46bm5v5tZkJTz31FAYHByEWi/G5z30OdrudbcK0xZ6NtLwQhMNhPPDAAxgaGoJIJMLtt9+O++67b8b7ScNoLcH3bnMbZ8NMn0PFYpGbqEkFR6Sy2Wyub4+vcPzLv/wLjh07ht/97newWCzIZrN4+eWXsXPnTsRiMfT19aGvrw+dnZ244YYbmExcunQp/vSnP2Hr1q1Tmq2ffvppHDlyBIVCAUKhEMuWLZtye9O9jw4cOMAFVqtWrZrX0iWTyeC3v/0tnE4ngMlF0Le//e2L8MxM4ujRoxgfH8ef/vQnBINBzpu8VIQjAC4oA8CtnDNFQaRSKRw5coQLABwOB9avX/++JPlJeZTNZqdkep0vO5FIRfq79us6ufTe4N0QmPPN16wlKunrYrGIQqHAy9OzUUtATvd3nZycP2rtyel0msmgaDSKZDLJ5CO9L4iYK5fLXApCLh2ySJNScqY5g9w1lBuZz+e55dpsNiMWiwF4p91aq9VyNjy1W1NWpFKp5ExDmv8oH52W2Xq9Hm63G4VCAU6nE3q9Hna7He3t7YhEIlx+kkql2AUlEonQ0NDA7ctEgtJzUalUEIvFOEPc7/cz8Uh5j0Q8kjiAHmtjYyOq1SrEYjHC4TDn/fb29mJ4eBg+nw+jo6Ow2Wyw2WxQKBSYmJiAXC5HKBSCRqNBS0sLfD4fxsfHWdxBmZZyuZyzPCORCJxOJwQCARwOB9auXYv+/n4IhUKMj48jkUjA7XbDarXyOYVer4fRaOTzo3K5DK/Xy/E8mUwGWq0Wa9eu5cW2WCxmUQW9f8RiMXK53Dl5jhKJhAuGqEhRq9XyoooKapRK5Xv2u3y1ntvXSccrGHUGvY4LhUQiwerVq6/aD6bLBY1Gg1AohHQ6zZbA6UjHSqWCbDaLxsZGbNu2DXq9Hjt37sTExAQ8Hg9f7tZbb0VbW9ucbpvyEImMO3bsGCuCqEmUhgxqwKPMGbIs+3w++P1+3sSdOnUKFosFDocDXV1dsNvtM1p5qf25tkGb7BrpdBoCgQCbNm2CQCDg7BkK8SZFCG1pAXBzNTVgk+WFyALKe6SCGbPZjGw2i3A4zESY1+tFKBSCwWCAwWCASqWCUqk8p6GYWiSPHj0KhUKBxYsXo62tjVu4s9ksVCoVW2+CwSDGxsaQSqX4OsnCuWXLFiiVyinPTTabhdvt5o0yWcxnwtDQEJ5++mkUi0VWecXjcfh8Puj1ejQ0NFz0YoZAIIBvfvObPNR96Utfwr/+679Oe1mynKTTaQCXL7fx7M+hUqnEVhcif2nAp8ycOq58nJ3dqFAocPvtt+P222/Hnj178Morr2BsbAzDw8PYvn07n6B/8YtfhMViQV9f35Rm6w0bNkCr1XKe49n24+mOZ6+99hrnUX3rW9+a1/1//vnnEQ6H4Xa7odPpsHr16otmKx4dHcXx48fxzDPPwO12Q61W4zOf+Qzuvvvui3L9M4GeP8o2owUVLYWASTJyeHgYY2NjnIvW2dmJTZs2XfTIh/cCFONB5BBZDwk9PT0A3skgnI5QpK/rxND7CxeyhJ+OiNywYQMAsLqMst9qLz/X+zIbQVkXDUwFLUjJ+ZNOp7k5OplMclYh/d6KRCKecWjpQHMz/bxYLGYC8uzZQyAQcPb42ZZrvV4PiUSCVCrF7dbUYkw5jESukfIQANutzz6eGQwGaLVauN1uRCIRRKNR5HI52Gw2GI1GKJVKeL1eJBIJXhxLJBIoFAro9XpIpVKEQiFks1lufyaFZ7lchtvtRltbG+cvk9tApVKx1Vir1XJ5TjKZhN1uZ3VmNBrFyMgIcrkcWlpaoFarOZexUqlAp9Nh4cKFcDqdU3IqqXRneHgYYrEYlUqFnU/FYhFms5mf1+HhYchkMthsNqxYsQJarRZ6vR4nT55ELpeD2+2GQqHgsh+9Xg+tVguJRIJoNIp8Pj8lIqqlpQW9vb1MNEskEjQ2NuLMmTMolUoQCAQIh8Oc57hu3Tpu5yZyMZVKQaFQ8GtGWfgUT/VeHjOvVn6oPuHXUcf7FPWB5fxQKpUcDk2DwXRDYyaTQbVahUQigd1ux4c//GEAwK5duzA6OgqXy8WXnQ/xSPeBCk9MJhOHMdOGjWwLRNgR8UfKQvpD90Oj0cDpdOLIkSOs/nM4HGztpaHs1KlT2LlzJ1paWnDLLbfw9yUSCR/QadsnEAg4H4esaPSc0fBNG0UiDmpVkMlkkluxRSIRqxtpw9rY2IhYLMYH/EgkgkgkwuQjtRMKhUJUKhWEQiG88cYbmJiYgEajwbXXXouNGzfi+PHjOHHiBEQiEefxiEQiuFwutsXQ5re3txc33HADW0AJ1WoVHo8HiUQCIpEIVqt1yon72SiVSnj88cfZYnL33XdzVhqVz8yl5Xw+CAaDuO++++DxeCCRSHDvvffijjvuOOdytWU+tQ3QlzO3kV4zv9+PYDA4JVTcarWyXb+O9wc2bNiADRs2YGhoCC+++CJeeeUV/r+9e/eiWCzi9ttv52brl19+GUNDQ/D7/QAwYz5j7XtkcHAQx48fBzB5wjbfFujt27fjzJkzkEgkMBqN+O53v3shD/UchEIhHDhwAM899xycTid0Oh1uu+22KdmVlwqUgUonrACmLHni8TiOHz/OqlOxWIwlS5ZwOcHVBlIZ1ZKMM7kUpFJpnVisY96YD/FH5ONMf9PXtZZwOhbOBIFAMOV9W/v3B/X9KxQKuRyQbLPlchmJRAKpVIqz0WtBNtjpmrLJLi+VSpmArH3NyXJdG0kTDoehUCig0+k455Fy4bVaLZLJJJfN0HWcbbc+W2UpEonQ2toKg8EAt9uNTCaDiYkJVtW1trYiFAohFoshk8lAIBBwO7RGo2FVIjVT06xO7c5OpxN2ux1CoRCBQAAmk4mJV1KD6vV6tg2T64kiJKLRKFwuF/L5PJqamrBgwQK4XC54vV4Ak+cxdB+TySTK5TIrAVUqFYaGhnjWJoI4nU6jqakJY2NjSKfTGBgYYCK1s7MTer0eLS0tOHbsGH/GU7alQCBAoVCASCSCz+dDJpNBLBZDNBqF0WjE6tWroVKpWM3Z1NSEXC4Hj8eDSCQChUKB06dPQyqVwm63w2w2w+PxIJVKsa26UCiwFV4ikfB5D2VLXq3E33uJOulYRx11fGAhlUohk8lQLBbZmjbdiQspxEjtZrFYsGXLFv7/WuJRIBDgtttu43zBuUAoFKKhoQE6nQ42mw0DAwMYHh5mGzUNPmq1mlvtSFFIpCORkPF4nJuSdTodhoaGeGvY2NiI1tZWNDc3Y8+ePejr68OxY8ewatUqNDY2nnOfaDigpr5aWy5tQUn5WEtClkolZDIZxONx3hhbLBYuDCECsvZkUaFQoKWlBclkEolEAgKBYEp4N20ry+UynE4nvF4vBAIBlixZgtWrV6O7uxtGoxFWqxVvvfUWIpEIZ/pQS7hQKITNZsOaNWtw/fXXY82aNedYCqn4JZPJ8BA4m913z5492LNnDwBg8+bN6OzsxNjYGA+5c7XczxV+vx/33nsvfD4fpFIpHnzwwWlJmkKhwLYbYHLw1ul0l9W6XK1WEY1G4fF4pjT+2Wy289rV67i60dXVhW984xv4wQ9+AABsZXrjjTewb98+LFq0CN/+9rfR3NyMX/7yl/xzs5UfEXbv3o1IJAKRSITrrrtuXvfrtddeg9frhcfjgcFgwObNm+FwOOZ1HdMhlUrhjTfewPPPP4+TJ09Cq9XipptuwgMPPPCur3uuIOIxEonwZzXZ47xeLyqVCiQSCbq7uxGNRjmD60pHtVqdcoyhxdt0oNI3+ruunq7jcmCuBCURjucjKCmzkuIBpsN0ZCT9/X4/thKZRRmHVP5BpBwRZmejtik7l8txGzLNiolEghuja+c2uVzOKkBSPObzeajVas4WpNdPp9MhnU6zajWbzUKhUHCzNF1mOveMRqNBe3s7fD4fYrEY/H4/crkcZxlS/mJtaQyVmlA0TTgcZvWnXq/n+Ci/3w+1Wg2TycRZhkTgkT2b5l2NRsNz+oIFCzAyMoJQKIRAIMCKx8bGRkSjUfj9fpjNZmg0Gp7rcrkcIpEITCYTvF4vlEolxsfH+TnN5/MwmUzIZDKw2+0YHh5GMpnE8ePHsWbNGshkMnYHLV26FC6XCzqdDtVqle8bWdnVajXC4TDi8TiEQiG6u7uxdu1aiEQiXqrJ5XIcOHBgiiWbWseXLl06xYZPX5fL5SlKRyIk6dhSjwGaP+pH4ysY823Jq6MOAtlP29vb3/fDx7sB2YpzuRxbsc7+vaPGZsqCIZhMJnz0ox8FMDkAOZ1OTExM8L8/8YlPwG63z+v+yOVydHV1wWq1wuFw4NSpU3C5XFNUiJRZQxk1tLGlEGn6XqFQ4CGB2u+0Wi2OHj0KrVbLbdjVahU7duzALbfcAr1ez/el9j1Ue4AlopNISFKOyOVy3uTTSSFZS3K5HBOJBoMBFouF7daUHUMHe7lcjubmZqRSKSSTSc7QIrI1nU4jHA5z6HVraytaW1uZuJXL5TAYn0HD+gAAIABJREFUDDh+/DhGRkYQCAQQiUQgEAjQ2dmJj3zkI1i3bh1WrFhxjsKnWq3C5/MhHA6zCnM2EiSfz+Pxxx9HNpuFzWbD5z73Ofj9fuTzefx/9r48SI67PPuZ7rnve2Zn73slWZIvCRvHJzhg4xPjQDgSEgJJJRxV4Fy2Q0goEiBFQQJ/BHCRQEE5QIwxFXyBD9ly+ZJle3XvvTu7c9/31dPfH/u9L7OrXUl7SF5Z/VRtGTSzvd2zvd2/ft7ncLvd6O/v31RF4XLC8d5772XVbSvK5TIymQzna640/T/bKBaLCAaDOHHiBNrb25lsdDqdF6RC40IE5bYCwO7du/HBD34Q+/btQyQSwaFDh3Do0CF0d3fjHe94B5566ikAi2rB73znO0vUgcvvZ6+//jpb2j784Q+vaZ8effRRzkD1er344he/uOHjbDQaePbZZ/Hb3/4Wb7zxBux2O2688Ubcd999G972WqFSqeB0OrmgaWxsjO1oPp8PIyMjSCQSqNVqnCu21UD2u9Y22pUyGFsbREnNtNq1RVkTKdgoNuMcInLydGR4a0HISmVHra+v9nNORUq+XdDaeE1rxlqthng8fsoIGbLIUgFMa/4jlRBS3mHr99C/0UCXVJLUXE3DdFI6VioVmM1mVj8SyTkzM8OD8uX7R6WIer0eyWQS6XSa19Nkp9ZqtbyGbjabKJVKXKjTqno0Go3cUk1kXTQahcvl4igl2n9yJJGlm5S2arUaQ0NDMBgMWFhYQD6fx+TkJAKBAMxmM6slW8sm4/E4LBYLotEoPB4PQqEQtFotIpEIO6Hi8TicTicajQba29s5L/L111/H3r17odPpOGu/ra0NiUSCSWYalpFqlWKyuru7ce2116K9vZ1FDzabDalUCjMzM/z7CAaDTHzu3r2bz53Wkkw6RygbmcQpOp3uLR9oNZvN8/I+ppCOWxirTbcUKDgd6vU64vE4Ojo6Vm0DVgC+cdDNpFqtnjS9IpXjSqHBTqcT73nPewD8jnhcWFgAsLhovPPOO9dMPNJNcmRkBH6/H4lEAuPj45ifn2cyUa/X86KhVCqxmo8mlET20Wu1Wo0VkKIoQq/Xcyt1s9nEU089BVEUsWPHDvT09MBoNK56DrUGcQNgUpGmxQD4NVrkEKHYavfV6/Wc40fZlWq1mstqDAYD/H4/k6g2m42VnJTT0tbWBpfLtSQv0WazYXBwkEO/H3vsMbbF33TTTbjjjjvg9/tX/LvI5XKIRqMol8vo7OyEz+c75Y39wQcf5PKYu+66i1sBHQ4Huru7N9W2mEgkmHDU6XT4h3/4hxVtpZRrAyyS2Ha7/ZwuTmq1GkKhEOfsZLNZ7N69m4lhBRcOfvWrX6FarUKlUuFDH/oQbr75Ztx888149dVX8dRTT+HYsWOYnZ3lLFtgcTH9L//yL4hEIpwd2XotyufzePLJJyHLMkwmE26//fYz3p/Z2VkcPnyYH7puvfXWTSHdnnvuORw/fhzPPfcc7HY7rrjiClZ4vhWgCIrR0VFIkgS1Wg2fz4eBgQHMzMywCtLv92+Jv0l6oKZ7yEoDd1K6t5KMa9l3ZU2kYKM4l+dQK+Gz0s9aiZCk/7ZmUK70HEkxN6sRkufrUJBKZWiNSEMvIupWQ2v+Y6lU4pzDVCrFjqFWgkmr1S4pmiGCShRFSJLEVlyNRgO1Wo18Pg+LxYJSqQRRFNFoNDAzMwO/349mswmn03kSEUxDMWqfJkKQimtcLhcEQeACSHpNpVJBo9HA6/Uim81y5BGV2NA1NpVKMSFLmfVarZbzzP1+PywWC5fzaDQadHV1wWAwYHZ2FrlcDsFgkK3HOp2OCTmdTofOzk7Mz8/zAMztdiORSCAej/N5rdFouHiG1vszMzOYmpqCJEm4+OKLWWlIJDtZoxOJBLRaLTKZDA4cOIBwOAxRFLF9+3b4/X5ks1kAYDv2oUOHOHZEEAQkk0kAi+KRyy67jEsfybZNAgibzcZWdcoMpn97K0Et6ecbFNJRgQIFFywoDFir1SKdTqNcLsNsNi+xHNAD2mpFIg6HA+9973t5oTY5OYmFhQVu07vjjjvWlelHCxsqmsnlcpiZmeFCFLopUj4fBTKT+lCSJJjNZp6OtxKDZIMme8P8/DwOHDiAqakpJvHsdjui0Si8Xi8X3qy0ICWFicVi4SIDmhS2vm61Wpdk8DSbTUQiEajVathsNs7NKZfLnLMZi8WYYKVcnHg8DqvVyvaLlVQHBoMBXV1dvFDQarUYHBzEVVddha6urhUX1ZIkIRqN8iLI7/efsgU8Ho/jRz/6EZrNJrZv344rr7wSiUQCJpMJ7e3tm6ogyufz+NznPseE4/33338S4SjLMrLZLEqlEoDF8/VUWZSbDfr84vE4JEliVWtvby/a2tq2BLmh4Nzif//3f9FsNiGKIj72sY/xv+/Zswd79uzBwsICfvWrX+Hhhx/m1xwOB3K5HL797W9jfHwcP/3pT5ds8/nnn0cymVyx5fp0ePDBB3Hs2DGIoohAIIDPfvazGztAAK+++ioikQgefvhhGAwG+Hy+t5RwbM1utNlsUKlUGB4eRiaTwUsvvcRZu11dXWdkZT8bIKs0EY3LSUZ6cG61Sis2aQUKfgfKdVyJTKM4gtVISXp9tYgC2vZKpORWv49TFFG5XEY2m0Wj0WCFnNVqPe3+U3EhFe9Vq1XEYjHOTqTvp9ggsk2TZRdYHPrQGlyWZbZbk627VCrxM4dGo2HF3/LfJa2hKAYqm81yCR8pGEmdR0RZrVZjx5bRaGR1ITVom81mFi9Q6Q1lQNL3GgwGzM3NwePxwOPxcHYhxfNotVrMzc0hmUwimUzCYrEwaRqLxeD3+2E0GjE8PIyJiQk4nU6k02no9XqUSiWEQiHIsoze3l5UKhX+vOgZYHx8HGNjY9BoNKz4JAcTKVHp856bm8P4+DhqtRqGhoYwMjLCa28if59//nnMzs4yIUzWdYPBgOHhYZhMJlY60mdXLpdZGEElMuTaoP1RsHYod3EFChRcsFCpVHC5XEzYJZNJOBwOflAmlaNerz+lJcVutzPxKMsypqam2BZNGY/rIR5bW4aJmBscHMTCwgKCwSAHS5N60e1286KGFiDVanUJAalSqTjzpl6vo1AoIJvN8iIiHA7DZDLxFDIcDnPGjc1m42BlahI0mUy8GBVFkXMg6cZNZCctZnQ6HTcJqtVqXhTS52i329mWIggC6vU6gsEgt3XTwkej0aC9vf2kLEqCRqPhcHGv14vrr78eu3fvXnWKn8lkkEwmUalU4PP5Vt0u4Tvf+Q5b1z/4wQ8in88zmeHxeDZNLVCtVvH5z38ec3NznOF43XXXLXlPs9lkZSGAVfOCzgZkWUYqlUIkEllC0Le3t3OzoIILEwcOHACwqDbw+Xwnvd7e3o6PfvSjnHuo0Whw66234vHHH0cmk8H//d//Yfv27UvKaPbv349SqQS1Wo1bbrnljPelWCzi2WefRSqVgtVqxZ133rnhwcCJEycwPj6OJ554AuVyGTabDffffz+rSs4lqJmaVKOU3ehyuXDw4EHk83kAiw/lpGI5l/tGAy+6H7WCyl7ItnYqm7QCBQpOjVbSfiWsRkYuz5WkwXErSHHcOhDYinZtWmuSVZpsuDab7aQc7+UgG7XJZGLVZLFYRLlc5kZruj6p1Wq43W7OH6cYCFL90edJ2Y9UsFKtVnn7lElot9tX3Ddaj1M7djqdhiRJrHrUarXI5/PQaDQcQ0So1WoIBAKIRCLIZrO8/0SKUt5juVzmRmxqto5EIigWi+jo6OBGbFIkqtVqfk8mk+F4Ja1Wi5mZGbS1taGnpweXXnopjh49CpVKxarQfD6PeDyOZrOJ/v5+FlBQ9mNnZyfC4TAr9dva2qDValGpVLjoJpFIoNFo4JVXXkG1WoXH48G73vUu7Nixg7PhI5EIYrEYJiYmUK/X0dbWhoWFBcTjcVQqFbjdblxyySXIZrOsCq5UKqyqJJUlPac0Gg3Os1dKZNYHhXRUoEDBBQ2DwQC3241cLod6vc5ByZS/AqyucmyFzWbDe9/7Xg4An56e5oxHWZbXrXgk0HTNbrfD5XKhp6cHqVQKs7OzvDigCSpNQRuNBorFIt/sW3NKaEperVYxNjbGEz5qv5NlmbMTdTrdEqsP/Ven03GLn81mg8Ph4OZrmgITAUkqRlps0WSV7OKVSgXpdBqpVIpJMyqeodwag8HALXtGoxEWi2XVm3+1WsXo6Cjy+Tzntqz23kajgVgshng8DofDAZ/Pd8qF6ZEjR5gI2bt3Lzo7O5HJZNDV1QWv17tpqpxarYZ7770Xx48fhyiK+Iu/+Au28xOoTZEIZYfDcc6msPl8HuFwmBtxqQnQ4XBwDqeCCxMnTpzgxvhTlWrt37+fLYC33nor/uiP/gjd3d34yU9+gvn5eUxOTuKqq67CT3/6U5RKJfz2t7+FLMvQ6XRraoX+8Y9/zA8/fX19+Ju/+ZsNHR9lT01NTeHw4cMwmUx497vfjcsvv3xD210PljdTu91u7Ny5E4VCAcePH2dywOv1wul0ct7vSra+zQARFkQ0LldUESlC9xCFZFSg4NyBlIwrgUiylXIkiZQkhTJhqxKRgiDwWpEyGMnRZLPZTruPpJqsVqv8fEDrUZvNtsTeajKZOOuRYppa8xIbjQb0ej0kSeISF8raLZVKrIokInE5yPmkVquh1Wq5kJHuhVQYQ4U3FGNExKbb7V4SqUTRRx6Ph9fczWYTmUyGnVWCIKBUKmF8fBwdHR2cv6jVarnUxmAwIBaLcXkl2Z7n5+dRLBaxY8cOXH755ZiYmEAsFmNxQiQSgSRJ0Ol0aGtr42bwarXKBGu5XMb09DQ3RVOpJq15x8bGcOLECTQaDVxyySXo6emBzWbD9PQ0crkcisUiJiYmYDAYMDAwAEEQcOLECaTTaciyDL/fj507dy5pBKfPp16vw2AwsNKxNcOeznMFa4dCOm5hbHUZu4KtCwqrVs6h06P15hsMBpHNZhEMBtHZ2cklJ2eanWG1WnHTTTdxns7s7CyCwSArHm+77bY1ZzwuhyiKsFgssFgscLlcfMOORCKYn59n9SMFbNvtdrS1tUGSJCQSCbZg1+t1JomsVivS6fSSIG5aBFHJDlmryXpOlhtqlqaHR41GA71eD6PRyESkx+OB3W6Hw+HgzMlCocAPnZIkwWQyoVwuo1gsIpvNIhqN8lSRJrw0lVWpVFxMshrS6TSOHTsGSZIwMDCA9vb2Vd+bSqXYsnE6laMsy/j2t7/NOT1/8Ad/gGw2C7vdznb4zYAkSfi3f/s3vPrqq1CpVPjIRz6Cu+++e8l7KJuHlLm0QDrbqFarCIVCPCGmab/P51uykFeuQxcufvOb3/CQ4/d+7/dWfd/Bgwc5i+pd73oXf91999343Oc+hxdffBGNRgOCIODVV1/l6Irt27ef8b7IsoynnnqKLVW33Xbbho6t0Wjg5ZdfRrPZxJNPPgmj0Qifz/eWFMcsLCzg6NGjS5qpfT4fgsEgq4wtFgsuuugizgUDfpdP53A4NpwNRUQEEY0r2TbJlkdqxnNNMirXIgUbxYVwDtHxrbSOaG3Tbv06HRFJJM1bRUQuz2AkAonsxqeDTqfj8kPKe0wmkyflPYqiyJFFpBak4hgaolOxX71e55xyjUYDSZJYjd5oNHid2wrafjabhSiKKJVKyGQysNlsqNfrMJlMfB02mUwwGAxIp9Ow2+1876Osy1bi0ev1sk3b6XRyxBCVqgDA9PQ0N03T75FcR1arFYlEAgsLC9yMTeRspVLBrl27MDQ0BIvFgng8zi6wcDjMhXBOpxOSJKFUKqFcLkOn0yEWi6FYLKLRaODSSy/l/cnn85AkCRMTE/xM0NfXh3q9jvn5ebaONxoNeDwemEwmDA4O4uWXX0YkEkGpVOLcyUAggGPHjvHzSLVa5bZxEnkAv8uut1gs0Ov1b/k14K3++euFQjpuYSjyXQXrhUajweWXX37eXpjOJUgdVqvV4PF4MD09jfHxcSbE1mpTJeJRlmU8++yzmJubY8WjJEm44447TkmArQWtWSderxe9vb0c8Ey2h2KxyPZru90Or9fLBR/ZbBaJRAKSJKGnpwdOp5PVnrRwoAUaTbmJQKUFKE3/crkcRFFc0ppIhC09cJJF2+VywePxwGAw8OSWCEar1cqLQ7KIt07PRVFkgms1gq/ZbOLEiROIRCLQ6/XYvn37qvmGpPrJZrOs2DyVynH//v145ZVXIMsyrrvuOoiiCI1Gw8TqZuEHP/gBnnjiCciyjJtvvhmf/OQnl7xOylBZlqHRaM6aaqkVpH4Nh8Oo1+sQBAEOhwNtbW0rqiuV69CFCyIL1Wo13v/+96/6vl//+tcAFh+o/vIv/5L/fefOnXj66acRj8fh8XjQbDbxrW99C4VCAaIonhQxcCo8+uijOHLkCCRJgt1ux6c+9al1HxcAHD16FMViEY888gjq9Tr0ej2+8pWvbGib68HY2BjbqUndWKvVcPz4cbZG+v1+HnRptVq2pQGL10nKx6T7HCn1l3+d6rWVmqVJmUJE41utZFSuRQo2igv9HKIYhFaVF+VDtjbNb0UicqUMxlwux0UzZ/K8bTQaodfrUSgUTpn3aDQaOYMRWFxjptNpbnpWq9W46qqrUCwWodfrWU1KxSg2mw2NRoOzzJcfBxXj0O+DCM5ms8nqQ8pGbyUU8/k8Fw0R8Wi1WrnRuV6vo1arwev1slXcYDAw4RYKhVAqleD3+2Gz2dgR1mg0EAgE4Ha7MT8/z2v5hYUFFItFFItFbN++HQMDA/x7mJubY3v3+Pg4Lr74YrhcLn7uqlarcLvdGB8fZyHF8PAwP4/Mzc3xs0dXVxdEUeTj0mq1XGRjMpnQ09ODUCjEme2UZ79jxw5WmZbLZf5sKM/RbrezbZx+R+t5JjwbOF/5IYV0VKDgbYoLdWG0HtDNub+/H6FQCHNzc6waOV3+y0qw2+143/veh2azieeeew7BYBDBYJCzQu688050dnZu2v63qh/dbjf8fj8ymQzS6TTm5+cRi8VQKpWWEJDUgJfNZlEoFDA/Pw9JkjA8PIyRkRGeFmazWZTLZVZCkuKQJqpUHqNSqSBJEgRBYGJSEASeytJiq5WIJPu12WxmQtRms8HtdqO7uxvVahXhcJgDnj0eD3w+H7f6rYZKpYIjR46gWCyiq6sL27ZtW/Whl3IcabHldrtX3W69Xsd3v/tdVKtVuFwu/P7v/z4kSYLT6dzUspQnn3wSDz74IGRZxhVXXHGSFXR5Q/VKU/HNRq1Ww+zsLE/jzWYz2traTpsNp1yHLky89NJLABZVIjfeeOOq7xsfHwewWCCzEjweD4DF8+iRRx5Bs9mEXq/H5z73uTPaD1mW8dhjj/EA4uqrr97QcKBSqeDo0aM4evQopqamoNfrcdddd2F4eHjd21wrJEnCG2+8wVm4XV1dGB4eRigUQiwWA7BIMPb09CxR8giCwC2irWpEeljbCFojN0j9vtWwFfdJwfkF5RxaipXyI1ciIonQWU5EklumtZX+bIJcGaRGJMU3ZZSfDqRUNBqNHEXUmvdIhBQ5TyqVCueuZ7NZzkIkpSHZeinr3Gg0Ip1Ow2azrVowA4BzGdPpNNRqNZNntI9E3EmSBKvVCoPBwIN7UmsWCgXej0qlwkQwKS2pFVuWZVgsFhSLRcRiMdRqNY55os+jVCpBEAR0d3ejWCxyyzQJIMii3tXVBZ1Oh/7+fhiNRkxPT6NarfI6gDLhRVFEtVqF1+vF9PQ0jh49ioWFBbS3t/PvTJZl9PT0oL29ndWHgUAARqMRqVSKVYlqtRozMzNYWFjg42lvb8fIyAgymcySaKlms4larQaHw8HOITpvAbB9XcH6oJCOChQoUIDFRUJ3dzdCoRAOHjyIubk5OJ1OdHR0rGuhabPZcMstt0CWZezfvx/BYBDz8/OsDLnzzjvR1dW16cdBizebzQafz4fu7m5ks1kmIMleQEUuVquVLSKUz0d25I6ODrS1tbH9kexzVLxTLpeRTCa56W85GVmtViGK4pIQZgqUJou2Wq3mzBZRFGE0GuH1ehEIBJjU0mq1vPDxeDyn/X2k02nOqezr61vVLl2v15FMJlEsFnk6vRr5ASxaRo8ePcrqQ8qX9Pv9m7YQOX78OL75zW+iXq+jp6cHX/rSl5ZMu8m2Apy7hup0Oo1gMMg217a2tjP6PSi4MLFv3z4kk0kAiw95FEWwHKFQiMmu05F2x48fx9jYGFQqFfx+P5ORp8Px48cxOjqKcrkMr9eLz3zmM2s8mqU4cOAAisUifvvb30Kv16Ovr29N2ZIbRblcxsGDB1EoFCAIAoaHh+H1enHixAm2wrlcLnR2dq749ykIAlwuFytdKpXKktfpGkxDDBogLf9qfe3tbjlVoEDBmeNURCSp6YiMJJUZXbta1ZT0dTYGqqRapKE6EXE2m+2Mfh61LZNrqNFo8NqMlIjAIklFykFBEJDL5bjMjPaD1sxmsxmFQgFGo3FJwYzNZlvR1UO2ccpOJkWiXq9HtVqFSqVilZ5arYbX64XRaIRGo4EgCEwO0nFTdqdOp2OlZSqVgiAIqFar3OydSCSYcKXmaopBao1gohLMYDCIZDKJEydOoFarweVy8fapTbpSqSAWi2FgYGBJPj09I83MzECSJCZKSQl50UUX4aKLLoLP54Pb7WaFfSQSAbAYLXL48GHE43Ekk0k+jp6eHnR1dWFmZgblchmyLCOTyfB9rNU6T+cq5TmeryrDrQCFdNzCaDabb/UuKDhP0Ww2MT09jd7eXuVhYA3QarXo7+/H5OQkB06PjY1heHh4XeUgdrsdt956KwDg+eefRygUQigUArCoVrnrrrvQ3d29qcdAoMIYg8HAeYOdnZ0oFouIx+M8gYxGo2zT9vl8qFQqfCNuNpvYuXMnDAYD5ygSaIECgKfX5XKZA6xTqRQ3YxNBSRNvarumBr5CocAEJIVMHzlyhFtvd+/ejYGBgTNSncqyjOPHjyMej8NsNmPXrl2rfh/lOJbLZS7BWc3uU6lU8N///d+oVCoIBAK4+OKLYTabYbVaT6mOXAvy+Ty+9KUvoVAowOl04qtf/eoS22MqlTqnDdXNZpNzQgHwYu1Mi2qU69CFif379y8hs9rb2+H1evGLX/wCu3bt4n9/5pln2Ab8vve9b9XtNZtNPPTQQ8hmsxAEYU3W6p/97GeYmpqCVqvF8PAwLr744rUf0P9HIpHA3NwcHn74YW4k/dd//dd1b2+tyGazeP311zkH7OKLL4YgCBgbG+PrKgX+nwqiKC5Re9brdaRSKS6LqFarsNlsb6uHK+VapGCjUM6h9aOViCQCTZZlLhOkL1mWT1JDkgKPvjbLkk3xMFTMQmpBh8Nxxr9fnU4Hr9eLYrHI9uVEIrFEOUmFNhQnlMlkMDo6ioGBAZjNZj6mYrEIi8WCfD7PFunWgpmVBsw0RKLiFLVajVqtxtduypen95rNZuh0OhiNRoTDYYiiiFQqxWSgRqNhxWU+n0cgEEAymWQiltSH5I6y2+1MPJIKkIZRjUaDSxnn5+eRzWYxPT2NWq0Gt9uNYDAIs9nMRK8kSYjFYggEAkyCVioVGAwGeL1exGIxSJKEhYUFCIKAoaEhXH/99fD5fBAEgT/fYDCISqXCqs5wOMyKxmq1Cr/fj97eXgCL9758Pr9EHCHLMvR6PSsdyUrfWnz2VoPyQc83KKTjFgYFfitQsFaQ/Lyjo0ORgq8RVNCi0+lQKBSg1WoxPj6OgYGBdd1s7HY7brnlFkiShJdeegnBYBDhcJit1rfffjs3q50t0GKDbMwOhwPt7e1IJBI4ceIE5ubmUKlUeDGiVqsxOzuLaDQKrVaLoaEhOJ1O6HQ6Jg5JqQiAzzGaZjebzSWLR7IDx2IxZDIZJiLp9VYCkqalADgPJhaL4eDBg+ju7sbg4OAprczUWl0sFtHb24uRkZFVP5dMJsMqTgrpXg2PPvooxsbGAAA33HADB013d3dvyiRekiTcf//9WFhYgE6nw9/93d9x9qckSUilUryv56KhulwuM/msUqng8XjQ3t6+pmNVrkMXJvbv389kIgW6FwoFXHPNNfj5z3/Oduv/+Z//gSzLEEURH//4x1fdXr1ex5NPPsmNkp/97GfPaD/S6TRee+01zsnaaIHMgQMH8MYbb2B2dhZ2ux1/8id/suFisDNFa2GMwWDAnj17kE6nWdFhMpnQ29u7rlZNaramLN1arYZ4PA6j0cgPlOc7lGuRgo1COYc2F2Qrbv0sSQlJX7QurNfr7PBotWSTwm4jIDtvOp1GtVpFIpFYMU/xdNswGAzI5XJLrNt2u53XTERQqlQqHrY3Gg1281gsFhQKBbYyr1Yws3ztq1KpuNQlk8nwPYDeJ8syu3mARXGF0+mEyWTC/Pw8BEHgewllrZM7IRqNshghl8vBZrOhVqtBr9dDlmUuJxMEgZWQer0eoijCZDIhn89zTjqtJ+keYzabEQ6HodFo2NoMAG1tbejq6mLbsyzLnMV44MABpNNptLe345prrkFfXx9qtRry+TySySSLHhqNBvr7+zE2NoZSqQQAPAj1+/3Ytm0bF62R0laWZZRKJRiNRs7ppDb3SqXCxPFbnU8MLP6dnI/XIIV0VKBAgYIWlMtlns4ZjUaUy2WIooixsTEMDAys60LvcDhw++23A1hcAITDYUQiEbab3HLLLRgZGVnXA+NaodFoYLPZYLVa4XA44PP5MDY2htHRUVQqFTSbTZjNZjidTsRiMUxMTCAUCsHv96O7uxsulwsOhwMGgwGSJPF0kBaGrTdkIsbcbjfq9TpGRkb4Bl8oFJBMJtn2kMlkUKlUmOQiW00ul2NLSigUwrFjx9DV1YWdO3eira3tJCI4mUxiYmICADAyMrKqCpGIkHw+zwvG1ZQmoDpGAAAgAElEQVSDhUIBP/nJT1CpVNDZ2YlLL70UZrMZPp9v08i///zP/8Trr78OQRDw8Y9/HFdeeSWApSokmmqfzUkrLfBCoRAkSYJGo0FXV9c5sXErOP+Rz+exf//+JeUipHzIZrO47bbb8OUvfxn33HMP3njjDQCLD2ynaoxPJBI4duwYgMVr6Zk2Vz/88MNsyQ4EAvjIRz6y7uOamJjAwsICfvOb38BsNmPnzp0b2t5asLww5qKLLmLlCP3bemNACBTwT1llpFpvzSrbCg9bChQoePuC1JC0FpMkaQkJuZIlWxAEJiDXmwup1+vhdrvZbhyPx9e81iJFo0ajYdt2vV6H0+lkYpQIQp/PB4/Hg1wuh0wmw1mGRDhSgYskSUsKZhKJxJLttcJgMEAQBKRSKbY46/V6VCoVzlenGCF6junr62PiMZPJIBqNwuVywWQyIZfLwWq1IhaLwel0wufzIZfLsTXdZDJx4aTVakUmk2Gy0mQysfqexATDw8OYmZnhnHdqyw6Hwyw8yOfzmJqagsViQVdXFzQaDRfavPnmmygWi1CpVOjs7IRKpcL09DQTk6VSicteOjs7OQaKcjfp2aa9vR1dXV2YnZ1FtVpl8pSUtyaTaUm5EJHfWq121fJKBWcGhXRUoECBghbIsgyr1crTyO7ubszPz0OlUmF8fBz9/f3rKpdxOBy47bbbIAgCXn75ZSwsLCAej6PRaKBYLOL666/H3r17OevlbKPVfm0wGNDW1oYDBw4gFAqhUCiwbZjaroPBIEKhEDweDzweDxwOB2w2GxOQZCVpze5p/aIHYmqFo8+2Xq9zUU0oFEIkEkEymeT2akEQoFarWfWYy+WQSCT4d7Fz507OqgEWm2UTiQRMJhN27dq16hScJrRkrXa5XKs+VP/yl7/ExMQEBEHADTfcAKfTCYPBAJ/Ptym/i3379uGhhx6CLMu4/vrr8dGPfhTA0oZqtVq95un7WtFoNBAMBnkCbLVa0dXVdU7IcAVvD/zjP/4jK1KIyLruuuuQTqfZdn3ffffx3zkAdHR0nHKbL7zwAjdwXnHFFWe0H7Is46mnnkI8Hoder8eePXvWXSDTaDQwOjqKn/3sZwAWow3uv//+dW1rLZAkCYcOHUI0GgWwWBjT3d2NiYkJVoh3dHRsWrwDsKgicjgc/NBJLa/FYpELCRQoUKDgXEAURV6jAitbsimblpRsREISEXmmxKFGo2HisV6vI5FIrMtVYjKZoNFomMBMJBLchNz6swKBAKxWK8LhMIrFIur1OiwWC8xmM699RVFEuVxmgo+IR4fDsaIAQqfT8TFQ/JHVakWxWITNZkMmk0G1WoXZbIZer0etVmPlLqk94/E46vU6HA4HMpkMrFYrt287nU6USiXodDp2R9lsNkSjURYhiKKISqXChTlEDpvNZvT39yMYDLJdmZ4zotEo8vk8MpkMQqEQP0e43W5IkoTR0VEUCgV0dnbC7Xajt7cX6XQabrcbOp0OzWYTPp8POp0OZrMZGo0GBw4cQCKRgEajQaPR4Fznvr4+Po8o2onOo3q9DpPJxNZqepYhy/X5qC7cSlBIRwUKFChogUajgdVqRT6f50a0np4eBINBAIttq319fWfUdLccTqcTt956K9RqNV555RXMz88jnU5jcnIStVoNiUQC1157LWeUnCtYrVZotVqYTCYcPXoUx48fZxXi8PAw7HY7Kw6z2SwikQh0Oh1btV0uF+x2O+x2Oy+4li/0WkPEKeQaAC8SnE4nent7USgUkEqlEI/HsbCwgFgsxgU1oijyNDSXyyGdTmN6ehoDAwPYtWsXPB4P3nzzTVQqFQwODp7SWk2T6NbindXe94tf/ALVahWdnZ247LLLoNPp0N7evikEYCaTwTe+8Q3U63X09vbi3nvvBQBuDqfPaC05Q+tBPp/nLBxBEODz+eD3+xV1k4I14Qc/+AGrHEVRxK5du/CLX/wCAPCpT30KP/zhD1Gr1fCNb3yDv+dU7dbAYoFTrVaDTqfDhz/84TPajyeeeAKTk5OoVCrwer341Kc+tc4jAl5//XXs27cPc3NzsNvt+OQnP3nWbdWthTEAsG3bNpjNZoyNjaHZbEKr1aKvr++sKS+0Wi3cbjeXLEiShHQ6zQ+vWyHXSoECBRcWlluyKe+Q1pUrkZDknGlVQq62rhFFkUm7arWKVCq1rvxsKnlJp9Oo1WrcptxaqKZSqeB2u2EwGDA7O8tDZmrHpuOhnEez2YxcLgeTycQFMyvtF5GnyWQSjUYD+Xwedrud193kHKKCmkajAa/XywRtIpFg4pVKcIxGI0elOJ1Ozp8kcYZWq+Uc/EKhALPZzGtJYHF9WSqVuHgxGo2iXC7DbDbD5XLBYDAgmUxCr9ez+vPo0aPo7OxkgYYoirjhhhvQ09ODXC63pIQSWCSbbTYb9Ho9Dh06hGAwCEEQUK/XWdHo9Xqxbds2ZLNZNJtNVk6SjV8URajVajgcDmg0GlSrVbYyq9VqZQC/QSik4xbG+RgSqmBrgNoklXNo7aCSE5PJhFqtxhYFuvkBwOTkJLq7u9elnHE4HHjf+94HnU6Hl19+GXNzcygUCpiZmeHMoOuvvx7Dw8Pn9MFOr9fD4/Fg165dcLvdePPNN7GwsICpqSm43W4MDg6ivb0d6XSaVYj5fB7xeBwAWPXodruZhLRYLKw0pKIYmliTbaY1NJxUNlarFW1tbRgaGkI2m0U4HMbc3BxCoRBKpRJkWWbrSrVaRT6fx8zMDJxOJ44dOwaVSoWRkZFViURJkpDNZtk+QuHaK+Ghhx7C5OQk1Go1rrnmGjidTranbxTNZhN///d/j3Q6DaPRiC9/+cvQ6XRLGqqNRuMZNyqudx9isRhPqnU6Hbq6ulZsG14rlOvQhYV//Md/ZKIcALq7u/Hss8/y///e976HtrY2fP3rX19SNHOqPMdSqYRnn30WKpUKVquVYypOhyeeeALz8/PQ6XTYvn37ugtkMpkMXn31VTz99NMwm8244oorcNddd61rW2eK5YUxO3bsQLVaxczMDIDF3OHe3t4NZ5mdCSija3neo91uP6+sZsq1SMFGoZxDWw+tbdckBFhJCdm6zmz9HiLaWtdXKpUKTqeTy2WonXqtETOUE05KcXLXmEymJeeRyWTC4OAgZmZmkM/nkc1mIUkSjEYjRFFEqVSC1Wpl8o8KZoDFYT45s5b/bCJPa7UaMpkMqy0FQeCyRypEA8C5kFqtFrFYDIVCAQsLC/D7/SiXy1wSE4/H4fF4OJqIWqbtdjuCwSD0ej0X4ND2a7UakskkKpUKf46U7Z5KpeD3+6HT6WCxWFAqlVAsFhGNRpHNZlGtVqFWq3HppZfisssug1qtPqlYkazpgiAgFothamoKxWIRZrMZ+Xyey3F8Ph/a2towPz/PxUWtln2tVstRS2q1mr+XiO6tkm98vl6DFNJxC0OZJCtYLzQaDS6//PLz9sL0VoL+7oh0LBQK6OjoQDKZRGdnJ0KhEGq1GmZmZtDV1XXaptCVYLPZ8N73vhcWiwXPP/88pqamkMvlsLCwgHq9jmw2i7179+Kqq6466w3FrVCr1WxXoObo2dlZJBIJJJNJ2O12dHV1oaenhxWH+XyeH0hnZmYwNTUFk8kEl8sFn8/HBKTVal3ykLzcNtNoNJaQkKIocpFBIBDA4OAg26pnZ2eRyWR44SVJEorFIl599VWMjo6io6MDl1566arnP1m1G40GWylWQiQSwS9/+UtUq1X09vZiz549PMHeDBLw+9//Pg4fPgyVSoU///M/R3d3N+8bgCUNiGcDlUoFoVCIiSK73Y7Ozs5Nu/co16ELC1//+tf5f5tMJrzwwgsnveef/umfsGvXLnzgAx/gf/vABz6AF154YcW4gpdeegmJRAKiKOId73jHGe3H7Owsjh49ikwmA7fbjZtvvnkdR7OIgwcP4tFHH2X71j//8z+ve1tngkgkgkOHDnFhzK5duxCNRvma4PV6T2tH32y05j1SoH+j0Tin+7BRKNciBRuFcg6dHyDijLCSEpLWmfl8fol6khRtKpUKdrsdarWaSUNqtl7L2o8yHCnnsVKpoNFo4OKLL16yztJoNOjv72dVXz6fR6VSgcPhYOLMarVyuWWz2TxtwQxlgGcyGY4wslqt8Hq9LK5Ip9NoNpusWjQYDOjs7IROp0MoFEI+n8fCwgK8Xi9nGxoMBkQiEfh8PibqgN8Nw6hlmtwJzWYTHo8HlUoFiUSCj6FarSKdTiMWiyEYDDKRSaU1FCvkdDpxySWXoLOzE6lUCmazGQaDgRWXrb/vWq2G48ePc6yKRqNBJpNBLpdDIBBAf38/JElCtVpFsViEIAioVCqo1+uoVCqcdW8wGJg0JTv6Vhqyna/8kEI6KlDwNoWyMFofiBijJjqyPdPUsL29nYnH2dlZyLJ8ytbj1WAymXD99dfDZrPh6aefxtGjR1EoFBCPxzkAORKJ4IYbblhza/BGQIoianBra2vD+Pg44vE4stksRkdHmZwMBALo6ekBACYgM5kMT0jJjujxeOByuWC1Wvm/yyeGpISkGzstCggejwdOpxM9PT2Ym5vD4cOHMTc3h3w+j1qtBlEUcezYMWSzWTgcDuTzec6NWY50Oo1SqQSNRrPqYkKWZfz85z9HMBiEVqvFO9/5TrhcLg7J3ijeeOMNzoi7/vrr8f73v5/z04CzTzhSdk6lUoFGo4HP54Pb7d7064ZyHbowcNtttzERJQgC/v3f/33VzNO77roLRqORWyUnJyexY8cOPP3009i1a9eS977yyisolUoQRfG0NmzCT3/6U8zOzkIURXg8HvzVX/3Vuo5pfn4ex44dw+TkJOx2O/7wD/9wUxTAq2FycpJLsBwOBwYGBliRQTEf682l3CzQoGcrPYCdKZRrkYKNQjmHzj8sL6dpNBpMQFar1ZPs2KIoMgFJakMqOqQil7Uq3oxG45KcRxrit2bkCoKAzs5OGI1GzM3NoV6v8/uIcDQajUycEqFms9mQTCZX3C+VSsWEJGWiN5tNzgenAplGo7GkPMXv90OtVvNQOhwOw+Px8H3bZDIhHA7D5/Oh0Whw8zT9vEwmA4vFwvcLEhkIgoBIJAJBELgdmhq3KaORmrtpGwMDA+jr60Oz2USj0WASkdburX+Tc3NzCAaDkCQJLpcLwWCQcyZdLhdGRkZQLBZRq9X4+YLyHSVJgl6vZ2t1678rJTKbA4V0VKBAgYIW0E232WzC6/UiEokgHo9z01o6nV5CPM7NzfEkbz0/a8+ePTzNfPPNN1EoFLhprVQqIRqN4qqrrsKuXbvOaYOoWq2Gz+eDxWLhbJq5uTm2SFDuokajgdPphN/vR0dHB3p6elAoFJDJZJBMJlEsFjE9Pc32Z6/XC4fDAafTCbfbvWpGCi36SMVIBIXBYMDQ0BACgQAmJydx5MgRhEIhpFIppNNp1Ot1GAwGHDx4EJVKBVddddUS8q7ZbCKVSqFYLMLhcMBisaw4NTxx4gSefPJJVKtVDA4OYvfu3dBoNKds2T1TVKtVfO1rX0OtVkMgEMDf/u3fotlscmlMazHP2QC1U5PSs729/az+PAVvb4yOjmL//v1MOm7btg2f+MQnVn0/2cwIKpUKyWQS73znO/Hwww8vIReffPJJyLIMrVaLT3/606fdl1KphNdeew3RaBQmkwl79uxZ1zE1Gg289tpreOyxx5iUP5tt1aOjowiHwwCA9vZ2eL1evrfodDr09/evudBgs0H5kqQGUqBAgYLzDTTgJhKSYnqIiJQkCaVSidecpKQrFouQZZmJx7WqzTQaDa+lSeVXr9dPiuqhjMPJyUkmHikPkgZwVNZiNBqRTqdht9uRSCTgcrlWvDbbbDaIoohcLodCoQBJkljJScQjfT+tyT0eD7RaLcLhMGKxGMLhMK/by+UyKx6pyIyyHIFFUQW9R6vVQhRFjuSgpmuLxYKOjg5kMhlks1k4nU7odDqMjIywgyqfz0OtViOTyaCzs5NzGCVJQi6X4+x9jUaDYrGIEydOcN4jEZq5XA5er5fdVwsLC0zcSpKESqUCSZKgUqk4D5PKZRqNBgRBgEajecvvv28HKKuGLQyaHChQsFY0m01MT0+jt7dXmcyuEZS10mw2YbPZUK/XkUqlEIlE0Gw24Xa7kclkEAgEEA6HudmZQorX8/OGhoZY1v/KK68glUqhUqmgWq2iXC4jkUhgYmICl19+Obq7u2E0Gs86+dh6Dun1ehiNRtjtdp7ShsNhtm0kEgm2QDqdTrS1taG9vR0dHR1IpVKcn5jP53Hs2DHo9Xq43W74/X74fD54vd5VF3CiKMJqtS7Jemk0GrBYLBgZGYHb7cbMzAwefvhhzkAzGo3ckFcsFnHdddexhZqKEciSspJyqVar4eGHH0YwGITBYMCePXvg9Xphs9k2pb3129/+Nubn56HVanHPPffAaDQimUxCkiSo1eqzqmYKhUKIRqOQZRkOhwPt7e1nLRxbuQ5dGGgthenv78fu3btP+f5WgvKrX/0qfv3rX+OFF15AsVjELbfcgq985Su45557MDc3h8nJSQCLzZfNZvO059EjjzyC2dlZ1Ot1tLW1rbtA5sSJExgfH8fU1BRsNhs+9rGPrWs7Z4Jjx44x4Tg0NARRFDE/Pw9gUfHY3d39lv/9yLLMD+Hn44BCuRYp2CiUc+jtCVJCms1mVrdVq1W2QtdqNQCLw7FUKgVBEFAoFOD3+9fsehEEAQ6HA6Ojo3C73SgUCtwU3XpOGY1GbNu2DVNTUygUCsjlcqjX67DZbKhWq5yVSAUz1DJNhOhKazqz2cyqzXK5jGazCYfDAbVaDVEUWUhA9uJqtcqva7VaBINBzogMBALcXk2lNlQCYzabOYexWq1CEATOYezu7obT6cTExASX0VB0RyaTgdlsRjabhcvl4mcCUkJqNBoeyFEZDhGTlHM5Pz+PcrmM7u5uRKNR6HQ6yLIMu92OoaGhJTZ7sk5T9qdOp4PBYIDRaIRWq0WpVEKtVoNGo4Fard5SluYzWQttRYhf+tKX3up9UNCCBx98UAvgXgC4/fbbFWZdwbpQq9UwOTnJ2R0K1ga6qev1etjtdp6ukRzf5XJxtkm5XEatVkOpVIJKpVr3A5nZbEZ3dzdnyFDIMW07Ho9jdnaWp3gGg4GzZ84GWs8hmvLRzzQYDPB4PPD7/TyllWUZjUYDxWIR4XAY8/PzKJVKsNlsCAQC3JRHGS+JRALBYBCJRAKVSoXzZFa7kVL4NwVXU0Ou2WyG2WzG/v37eXra3d3NLXqlUgmpVAperxcmkwnRaBQLCwtQqVTo7OyEy+Va8jNlWcarr76KH//4x0ilUhgaGsK73/1uOJ1O9PX1bfjv6fDhw/iP//gPNJtN3HLLLbj77ru52Y/aDM9GWLUsywgGg4jFYgAAn8+Hjo6Os3p9UK5DFwbMZjOefvppGI1GdHZ24hvf+AarH1bCvffei6NHj0IURfzoRz/CZz7zGczPz2N0dBT1eh1PPfUUstksNBoNfvazn6HRaGDHjh346Ec/etrz6IEHHsCLL74IlUqFiy66CF/4whfWfDyVSgXPPfccHnroIdRqNXR3d+NsrZVbidWLLroIwKISGQACgQA6Ozu3RIN8qVRCpVKBWq1ec6HCVoByLVKwUSjn0NsfKpUKarUaOp0OJpOJbdEqlQqyLEOn06FSqaBUKrHrh9aPgiCc0bW6Vqthfn4egUAAjUYDjUaDy0pa137krqrX6yiXy2wLpyKaSqUCk8mEQqEAk8nEGYWtRNlyaDQaaLVaJlSX5xVStJMgCDAajay0NxgM0Ol0nN9eLBZhs9kgyzJUKhUTs9RyTe3VjUaDPxMiIR0OB7RaLVvWSQ0pyzIymQx0Oh1qtRrMZjMEQUC1WkWpVIIgCCiVSiiXy6xMJUI2m82ygpSI0nw+z8dot9txww03QJIkpNNpZLNZJh6z2SxSqRR0Oh06OjrQ0dEBi8WCYrGIdDrN+ZHridE6W6jValCr1f/0Vu/HWqFcNRUoUKBgGTQaDarVKur1OoxGI9ra2iAIAuLxOGKxGJcKCIKAtrY2RCIRLuWQZRltbW3r+rk2mw033ngj/H4/9u3bh5mZGRQKBahUKpRKJSwsLCCdTuPIkSPYtm0bdu7cia6urnOWNaJWq3kySQsli8WCtrY2tlyHw2HOUwyFQpibm4PZbEZbWxs6Ojrg8/mQz+eRTCaRSCSQyWTw2muvIRQKobu7m5WPp1rUt1qvs9ksf04OhwNXX301VCoVYrEYKpUKZ7rU63Vce+21iMfjqFarcLlcPPltRSqVwuOPP45wOAyz2YxLL70UbrcbDodjw0OgWq2Gr371q6jX6wgEAvj0pz+NSqXCgeBkd9lsyLKM2dlZpFIpqFQqdHR0rCsOQIGClXDjjTdiYmICDz30EIxGI4aHh0/5/oMHDwJYjEqguILvf//7GBkZwX333YdqtYpvfetb+NWvfoVyuQxBEJiQOxVKpRKXcjmdznW3TB84cADz8/MIBoNwuVyntIpvBPF4HMeOHQMA9Pb2QpIkJhx7enrWVVJ2tkDW6nNZbKZAgQIFbyWo0JDW2KQ2jMViTHTVajV2zFAjNll+TwWK0aGcx0QiwcN5gkqlYnfTwsICGo0GqxGJ4KNma5PJhFKpxM3ONpttxeu1TqeD2+1GMplEvV5nW7XP54NarUYikUA6nWYLNj0H+Xw+6HQ6jI2NIZvNYnp6Gl1dXRBFEY1GA6VSiR1E1GxN+elqtZoJxnQ6DY/Hg0ajgfHxceTzeXYdkSXabrdzhqXD4WA3VbPZRDQa5SxHWZZZzJDP57lhOxaLMRlqNpvhdDrhdDr5Wa1arUKlUrGSld7XmudIBUTLfycK1g+FdFSgQIGCZSDihyyAoijC7/dDFEVEo1HE43FIkoRAIACVSgW/349oNIpSqcQ2ufUSj3q9Hpdeeim8Xi9eeOEFHD58mBtDKWumWq0ik8ngxIkTGBgYWEI+ng2V3EpYiYC0Wq0IBAIol8uIxWKIRCJsH5mYmMDU1BRcLhc6OjrQ39+Prq4uVh7G43EkEgl0d3cjkUjA4/HA6/We8njIzj06OopqtYr29na85z3vQb1ex8svv8w2S7IT00JIr9dj27ZtJ1mla7UannnmGbz00ktoNpvo7+/H0NAQjEbjpmQ5PvDAA5idnYVarcbnP/95aDQaxONxAIsP85th3V6O5YRjV1fXlprYKnj74ExJvmg0CmAxu7AVX/jCF7B9+3Z84AMfQKlUYgWgyWTC3r17T7vdZ555BsePHwewmEf1p3/6p2vZfQCLKsO5uTk8/vjjMJlM6Orqwk033bTm7ZwOhUIBhw4dArCoOjYajaxC7urq2lKEI2VekfpFgQIFCi5EkBXbYrEgl8shkUhwAaDZbGYCK5/Pc3mKwWBYlYCkUkZS/WUyGc55bFVNejweGAwGzMzMoFarcc6j2WxGoVCA1WpFPp+HwWBApVLheDZqpl7pODweD5LJJBOeTqcTHo8HarWaiyMlSYLT6VxSsrJjxw6MjY0hkUhgZmYGgUAALpeLCc94PM65j2SXpsxGKnfMZDLw+/2oVCqYnZ3l15vNJmRZ5kJFIhWtVisqlQq7zagwstlsotlsssusUCjwWtdgMCCfz0MQBAwPD7OVmtSPsixzkRA1mFOmJZXjNBoNjmxSsHEopKMCBQoULAMtEFrLDgRBgNfrhSAIiEajSKVSaDabTDz6fD7EYjHk83mEw2EmI9cDURTR3d3NBN3BgwcxOzuLfD7PCxFSEqbTaYyNjaGzsxPDw8MYHByExWI5p9EMrQRkvV5HqVRim3OpVEIoFEI8Hke5XObp8PT0NHp6etjiHAqFkEgkMD09jWg0ip6eHiQSCfj9/pMs0K3IZDIYHx/nbMy+vj6eWu7fvx/j4+OoVCqIx+Pc0jc0NAQAS0i+UqmEF198EY8//jg3BhL5Sxk3G8Hc3BweeeQRAMDVV1+NvXv38uRWq9WeFCa+GWg2m5idnUU6neaJ+VYiMxRceNi3bx+3hF599dUnvX7TTTdhfHwcu3fvZtVfsVg8I6L85ZdfRiqVgkajwbXXXruu/Ttw4ACmpqYQjUZht9vXnQl5KtRqNRw4cIBVMw6HgwnHjo6OU1rT3wqQyvFcZAkrUKBAwfkAq9XKLcsU92MymTgrUJIktiOr1WqOKFoOslHn83nk83kUi0XOeWwdupvNZgwODmJ2dpa3S/cQsjQXi0VotVouYATAisXlEEURbrebcxqTySSXPKrVasRiMc4/93g8fO0XBAE7duzA5OQk5ubmEAqFuHgzn8/DaDQuIR6J/EulUvB4PPxcVSgU0N3djXq9joWFBWQyGXi9XjQaDT4+WZY5kzGTyXBrd7lcxtzcHNxuN4xGI6rVKhKJBMrlMiqVClukZ2dn4XQ6MTQ0hHK5zJ8tkbKSJKFer0Oj0UCn08FisUCtVqNerzPhKAjCWREEXIhQSMctjPMxJFTB1gCVoSjn0PpASkdqN6MbP2XuCYKAcDiMdDqNZrOJjo4O/qxlWUahUEAoFGIycr0wm824+uqr0dvbizfeeANHjhxBMBhErVaDKIqckRKJRJBOpzE1NYWDBw9iYGAAg4OD8Hq961Y/rvcc0mg0sNlssFqtKJfL0Ov1MJvN6O3tRTKZRCgUQiaTQalUwqFDhxAMBllRSPaHXC6HY8eOwePxoFwuIxqNwul0wmq1Qq/X8+9HlmUcPHgQoVAIFosF1113HS8S2tvbccMNN0CtVuP48eOcwSPLMjQaDQ4cOIBisQin08mqqhdffBFjY2PQarXYtm0b+vv7YTKZ1lUQ1Ipms4lvfvObKJVKcLlcuOeee5DNZlGv1zlYfLMf5iVJwszMDLLZLARBQHd3NxwOx6b+jNNBuQ4pWI7HHnuMmyJXU0YGAgE8+uijS2vUQtsAACAASURBVNSNH/rQh3Dw4EFs27Zt1W0fPnyY85tuu+22Ne/bxMQEUqkUnn76aZjNZvT19a2bvFwNkiTh4MGDrPjw+/1IJpMAFgnHjV5rNhtkMQPOb2u1ci1SsFEo55CC5aCc81QqxU4ku90Oh8OBSqXC+YPLiTQqcmmFxWJhErNWqyEej59UCqPT6dDX14f5+XnOMKQhebVaZQJOpVJBEARWDFJpzPJ1piAIcLlcSKfTHJFE63dRFCEIArLZLKLRKNxuN++LSqXCwMAANBoNpqenl2SFU6M02bapZZuUoR6Ph4lZQRDQ19eHSqWCZDKJbDYLv9+PcDjMmewEm83GeZPUPp7P55nEpM+1r68PFosF4XAYBoMBgUAAVqsVyWQSxWIR1WoVoihyhBbZx61WKzdVU0SUVqvdciUywPnLDylFMlsMrUUyH/rQh5SwYgXrgiiKaGtrU86fdUKlUvGioJXkotcoXLpUKnHDGU0HNRoNq/0oZHojbZ8qlQo2mw29vb0IBAIwGAxcLlOr1Tj4WpIkVCoVpNNpLCwsYGZmhtWFFFC9lvNho+eQSqViW4Jer4cgCNDr9fB4PLDb7WxDoazKTCYDn88Hv98PlUoFvV6PQqGASCTC+SpUuEJt4sePH8evf/1rRCIRdHV14f3vfz9PUpvNJkwmEzweD38ulOdoMpnYUkJlNqOjo3j99ddRLpfR3t6OK6+8Et3d3fB6vRsijoFFddeDDz4IAPjEJz6BkZERznF0Op2bvqBpJRxFUURvb+9ZbcReDcp1SMFy/PVf/zUikQi0Wi1++MMfrvq+559/Ho8++ihHXDQaDTzwwAPo7OzExRdffNL7Dxw4gAceeACZTAbt7e342te+tuZ9e/755/Hmm2/izTffhMFgwBe+8AX09PSseTunwujoKJLJJDdxZrNZAItE60avM2cDpHShVs/zFcq1SMFGoZxDClYC5T6SOo6U/GazmXMbaY0nSRIAsNWYnjOI4CNFJCklqUCllXgUBAEWiwUqlYrLWkqlEvR6PSsBgcWBkU6nQ7FYhCiKqNVq0Ov1JxGPZEVuNpuo1+tsPaZW6dYiTcpTl2UZarUaZrMZKpUKmUwG1WoVwCI5WKlUIIoiKpUKZzWSIAMA30skSYJGo4HL5UImk0GhUIBGo4HVakWtVmOrOBVJkvpTo9EwiUuWdFmWYbVa4XQ6YTabMTk5CUEQMDg4CJPJhHK5jHw+j0QiwRmTxWIRmUwGer0evb29nPWez+eRzWZhMplY/bmV8P+FJEqRjAIFCrYGztdJyFaBWq3mAhKdTnfS6zQ1nJ+f5wfHzs5OtslGIhGUy2VuSt6ogkWr1WJwcBDt7e0YHh7GkSNHMDY2tqRBT6vVQhRFFItFVvaNjY3B5/NhYGAAfX19nA1zJufHZp1DGo0GdrsdNpsNpVIJBoMBdrsdyWQSMzMzyGQySCaTeP7559HR0YGhoSHY7Xbo9XqUSiXkcjkUCgU0Gg22mGu1WoTDYczOzsJgMGDv3r380O5yuZDNZlEsFuHxePDOd74TuVwO8/Pz3AreaDSQTCbZhpJMJlGtVuH3+7Fnzx709PQwabkR1Ot1fPe730Wz2cTw8DDuuOMOVjZZrdYVz62NoNFoYGZmBrlcjgnHs2HdPlMo1yEFrZidnQWA09qljxw5gkajAaPRiCuvvBLPPPMMqtUq/uzP/gxHjhzB17/+9SXvf/nll5FMJqFWq7F79+4179f8/DyKxSL27dsHg8GAbdu2bbrKcWxsjPMsvV4vP4AFAoFNyYzdbEiShHK5DAAbGpxtFSjXIgUbhXIOKVgJpBiktSpZnx0OB9tzDQYDZFk+SQFJtmq1Ws3v83g8yGQyHElENmoiDEVR5OKXeDyOSqWCbDbLNmB6HqDylkwmA5vNxurDldxPNpsNoijyMZAtOxAI8M+JxWJM6pFav6+vD4IgIBQKIZVKQRRFWCwWtlanUik4HA6+n9N9mgbh+XwedrsdIyMjOHToEBfN0No7l8tBpVItcZ3RMw+pFok0dblcMBgMmJiYQCwWQ1tbG9xuNxOnJGAQRXFJ7qVWq4Xb7WYBhyRJqNVqcLlc5/WwbatBUTpuMbQqHe+++25loqZAwVsEajUTRXHVfES9Xg+tVsskX7VahdPphCiKfMOnaSbZATYKCoDu6upCe3s7zGbzkgllrVZjxSURaplMBsFgkNWP9XqdCcrli49CoYC5uTkYjcZNv/4QWUhlLlqtFl6vF2azmcsKkskk5ubmoNfr0dnZCY1Gg2azySQw7a8gCCgUCsjlcujt7cUHP/jBJQ/Ger2ep7vU6kcZcdQsqFarEY1GEQwGuUFv9+7duOyyy6DVauH3++H1ejdkff7hD3+I5557Dmq1Gl/84hehVqtZQWuz2Tb2gS5DvV7HzMwML2DfasJRgYJW7Nu3D//1X/8FSZKwd+9e/PEf//Gq773vvvu4Qf7w4cMwGo149tln0Wg08OKLL0IURVxzzTX8/u9973s4ePAgDAYDPvnJT+KSSy5Z074dOHAA+/fvx5EjR2A0GnHfffchEAis+1iXY2FhAWNjYwAWCVd64PH7/esuHTubqFarSKVSkGUZWq12xTICBQoUKFDwO+h0Oo49ooJFchoBv3MAGQwGmEymJQrIZrOJWq3GFmCy9pIFuFqtsmuItkXrdPpeUvwJgsDrbcp7zP0/9t4sRo7rvv/91l7d1fs2PftCUaSp1TalyLZsWXZiy07CSPKW2LiwE9tAAD8EcPziIAgQBFn8cG+AxMmDHeA6fvGSGz/IRuItshUpkhntCykuM+Ss3TO9V3dVdXV1V/V9mP/5eYYckrM0yRnxfABCQ7KnWN06c+qc7/n9vt9mkyr8Nt7TRti+gFVQdrtdGIaBSCQCSZLQbrcvq1YMggCJRIIOqVzXhSzL0DQNjuPQOjwej9P91et1hMNhqKpKFZuJRAKGYaBarcKyLBJHgyCgtmpm92HbNmRZxszMDIaGhighGwDq9Trm5uagKApmZmZw5513IhqNUpUju4bneXS/0WgUx44do0pQVhUZi8UwNDR0Qz3ydwCvdOQMjkv9Hjic7RIEAS5evIjp6Wl+MrtLtgqT2Qp2WscqHgVBwNjYGPr9PoaHh1EoFNBut7G8vEynoXtFFEXyXZmensbdd9+Nc+fOYW5uDisrK7Asi04AWSsEM14uFos4ffo0RkZGcOjQIczMzCCVSpH349mzZ7G4uIhms0lt3ddjDGmahmw2SybbQ0NDWFlZwcLCAmzbxqlTpzA/P4/p6Wkkk0k4joNUKgVN09Dr9WCaJlZXVzE+Po477rhjy0pStiBbXV2FLMsUXMMWcbZtQxRFZDIZhEIhjI2N4ejRo5BlGbFY7KoBNtuh0WjgBz/4AQDg3e9+N8bHx9HpdDad8g4Kz/MwPz9P7SlTU1M3XSjg8xBnI8888wxZQjzwwANXfJ3jOFQROTo6iiAI8Pjjj+OOO+7Axz72Mbiui5dffplev7a2hhdffJE2P48//viO7ovZODz99NMwDAN33XUXjh8/vrs3uQW1Wg2nT58GsO6LyH4W8vn8QIXNQdDv99FqtWhjeT3mqpsBn4s4e4WPIc52uNTnsVKpIJFIUBXixnHEKhuDIIDruvSLrVHZ65mIWS6XkUwmqUNGEAQqdGB+kN1uF77vIxwOU5t0q9Ui4TEajVJa9VadNmwvUKvVKKCFJVsrioJCoUDJ1uzZwLwUAVBrMrC+zrcsC4ZhbKp4DIIAi4uLmJ6epmKMWq2GdDqNmZkZnD9/HisrK5iZmaGq0EajAeDXvvGRSASyLFORRxAEEEUR1WoVgiBgenoa9913H+LxOEzTJJulUCgEx3Fg2zY8z0M4HN70GXqeR23fTNjdb7D3etDgouM+5lpiB4dzJbrdLsrlMsbGxgbevnmrwE7NmKfY1dgoPLIH41bC4+LiIi0SBoEgCDAMA4cPH8bExATuvvtuXLx4EbOzs1hYWECtViM/F+ZDKQgCqtUq6vU6ZmdnkU6nMT09jUOHDiGTyeDFF19Eo9GA67qYnp6+rmNIEAREo1GEQiGYponx8XHk83nMz8+jWCyi3W7j1KlTSCQSdP/sv7VaDe12G8lkEnfccccVH8CqqiIUClEV6tjYGLrdLtbW1sh3ZmRkhK5tGAZs20YsFttzZeo///M/wzRNRCIRfPGLXySDb9ZyMyg8z8PFixcpuXBqampftEPyeYizkaeffpqqMD7xiU9c8XVnzpwhG4W3v/3tNI4++MEPot1u45vf/Ca++MUv0uuffPJJlMtlSJKEO++8c8ci2blz53Dy5Ek0m03kcjn8yZ/8ya7f46VYloVXXnmFfKnYBiaXy+07wbHX66Fer9PaMxwOb2rpO8jwuYizV/gY4mwX1pHEwl7YvBqLxbYcR6IoIhwOk4fixhZs1irN9hatVgv5fH7ToXI8HocoipAkidbvtm0jHA7DdV3EYjE0m00YhgHLshAOh1Gr1TaJoRvRNA2ZTAbVahXdbpfaspPJJGRZpgTtXq9H17BtG9PT07h48SLa7TZZc2iaBtM0EYvF0Gg0kEwmUalU4HkeFhYWSHgMggD1eh1jY2PodDpYWFjA/Pw8RkdHyRaJiaftdpva1tk9qKpKe55cLoepqSnyeGfvo9/vU1UpsP7M03UdqVSK0qoty6JqUNYRtd+4ku3Xfmf/fZIcDoezD5BlGYIgkP/ftR48iUQC/X6fQlGAXwuPIyMjWFlZgeu6WFhYIOFpkGiahvHxcYyMjOCOO+7A4uIiZmdnMTc3h7W1NRIfNU2Druvo9/vwPA9LS0sol8s4ffo00uk01tbWYFkWtSWzNo/rufGUZRnpdBrtdhvNZhOHDx+mz4wtAFj7RKvVIuPsoaEhjI2N4bbbbrvq9RuNBmRZRiaTwfT0NDzPo/YSdlrKWllqtRpCoRDi8fieFhuLi4t48sknAQAf/vCHyQg8Ho8PNDjmUsFx48kxh7NfaLVaeO211wCsi1lbhcEwXn/9dXieB1EU8fDDD1/29xsFRwB49dVX0Wq1oKrqVSsot4J5oD777LPQdR333nsvjhw5sqNrXAnP8/DSSy9RwACrxs7lchgbGxvIvzEoHMeBaZokCjNPXQ6Hw+HsnCv5PF6rcu5KAiRLo2aBitlsFsPDw7Q2j0ajlK5umiZV84XDYTiOQxV/4XCYAmyYCLfVITUTTqvVKgUvplIpRKNRzMzMYG5ujhKvk8kkwuEwbNvG1NQUlpaW0Ol0qO3bMIzLhEe2jmfCYygUgu/7qNfrmJmZQafTQblcRqFQQCKRgGVZZI00MjJCX2uaRh7vhUIB/X4fuVwOt912GyRJQr1eJxFU0zS02210u11qQQfWLU9YUUa32yWhNhwOvyUO3fYLXHTkcDicK7DRT2U7AhQTErcSHkdHR7G8vEwneIIgXJe2NUmSkE6nkUqlcPjwYRQKBVy4cAHnz59HoVBAq9UiI2X20PZ9H7VajfwcO50OWq0WgiBAMpnEyMgIVSSqqgpFUa5LaX8oFIKu62g2mwCAw4cPo9lsolKpkBAqiiIcx4FhGIhGo7j99tuveuLX7Xap5WRmZgbj4+Mk0DGjaJbWx8yj4/H4nv0W/+mf/gmdTgfJZBKPPfYYgPXWykG2avi+T4KjpmkUfsPh7DeeeeYZatk9dOjQVV/7k5/8BP1+H5Ik4bOf/SylYm6F7/t4/vnnqYrkk5/85I7ua35+Hj//+c+pyvGP//iPd/T9V7uvV155hTZ3iUQCkiQhk8nsK8ExCAKqjAHWD6/YvXI4HA5nb8RiMWp97nQ6sG17Wx1UwOUCZCKRQKlUQqPRwOrqKprNJqampuiAyDAMSJIEQRAgSRIJlLquw7IsxONxtFotaJpG1YPA+nNgK/9v9syq1WrwPA/VapXCVQ4fPozz58/TnzORznEcjIyMUDeRqqro9Xrk3c6qDFOpFLrdLtrtNpaWljA1NUWvNU0TR44cIT9IRVFw//33o9FoUPdSPp+n59Tq6ioKhQIqlQoymQwmJycpuJK1q7N7aTabZD/FPifWss6q/H3fp3+HMzi46MjhcDhXQFEUqlLZLlcTHsfGxugEcH5+HjMzM9ct6EMQBEQiEdx+++2YnJzEHXfcgaWlJZw/fx7Ly8uoVquwbZseuqz6TlEUmKZJHpTPP/884vE4DMNAPB6nFGq2wFAUhX4NYqMqCALi8TjC4TAl7jFPmo0LAt/3qdLxajiOg1qtBlmWkUwmEY1GybOGta6wFpRGowFd1xGJRPbUunD27FmcPHkS/X4fjzzyCH0+g/x/3e/3MT8/D9u2oSgKpqen96X3DIcDAC+99BIJW67r4rvf/S5+//d/f8vXvvDCCwCwrWrwX/ziF5ifn4cgCBgZGcHU1NSO7uvixYt4/vnnEQqF8O53v3tgVY6nTp1CvV4HsF4Fr2ka4vE4JiYmBnL9QcB8snzfJ6uL/WDLwOFwOG8lNvo8snmXVd5tF1EUYRgGpqamUKvVsLKyAsdxcObMGYyOjiKTyUAQBOi6jnQ6TWt7dqjE/BUjkQitG1lICwDyaLy0so9VbLJ7r9VqyGQy0HUdhw8fxuzsLDzPo/ZtXdfpQJ/926y4gXX8sLVAKpVCuVxGo9HA8vIypqamKDDGsizcdtttKJVKlFA9NDSESqVCoZOZTAae56FQKGBlZYUCICcnJ9Hr9VAoFGDbNrV/s0pG5tmoaRqi0Sh1gbH7YvBD/MHCRcd9zEE0CeXsD1iJPR9De4NVN+7UX/VS4VEURYyOjpLwuLy8DM/zcOHCBUxPTw88xfhSWOv18PAwjh49iuXlZSwsLGBxcRErKyuwbZtCVXzfRzQapdRrlhRn2zbK5TIl4qmqikgkgkQigWg0Sh6ILJGOCW27bVFmrR1sETAyMgLf92GaJi1otrNgazQa5GHDvDTZ6W2z2YRt27QYYml1ew37+frXvw7f95FOp3HixAmIoohUKjXQNg0WXCSKIqampval4MjnIQ6DVSMC6x6Kn/nMZ/CXf/mXePPNNze9znEclMtlAMDRo0cBXH0cPf/881T98J73vGdH99RoNHDy5EmYpol0Oo0/+qM/2s1bu4y5uTkUi0UAQDabBbDuLTs5OTmQ6++VrcJiksnkQG0f9ht8LuLsFT6GOHuBrWlLpRIEQaD1204PowVBQDqdRjQapfDApaUlNJtNjI6OQtd1qKpKwqMgCFRlqaoqHMdBOBymDh9Zlin4JQiCLdeqzIuepT8zwU/XdRw6dAgXLlxAp9OBZVnUEQWsV3nKskwV/2z/wMItgfVDuVqthkqlQoGPzP7Jtm0MDQ2hWq2i3W5DURSk0+lNLd+2bZMVUz6fx+joKHWUse9h3WosAEeWZfT7ffT7faRSKfocNgqS+zVEBji4+hAXHfcxb+UFIOf6oigKjh8/fmAnpv0C+xncSaUjgwmPy8vLqNfrEEWRggO2Eh5vREKoLMtIpVJIJpM4fPgwVldXsbS0hPn5eSwtLaFarSKRSFALM2t1YO0hrP240+lQ+vPa2hpEUSRfxFAohEQigVgshmg0SpWFTKjcaUXkRl8xljTd7/e3JeD1ej0STrPZ7Cbj7Y0VlaZpolwu03vYiwj88ssv47XXXkMQBHjssccgiiKSyeRA2xUbjQYJM5OTkzc9pfpK8HmIA6z7OZ48eZJ+zxb7Z8+excjICF566SXk83kAoJZkQRDwgQ98AMCVx1EQBHj11VfR6XQQiURw4sSJHd3Xm2++iV/96ldQVRW33377QKocy+UyZmdnAaynU/u+DwCYmJjYF4b0l4bFGIaBWCz2lvet4nMRZ6/wMcTZK6IoIp/P4z3veQ8cxyGfx92EC6qqisOHD6NUKmF1dZUSmoeGhugQiVU/iqJIa2Hm5ajrOq3pNU2jziLm3XjpmpWJnZVKBb1ej4THUCiEqakpLC8vw7ZtOI6DXq9H+wEm8rVaLWrpjkajEASBWr+j0Sjq9TrW1tYgSRKmpqZoryEIAgXhNJtNOiQrlUqo1Wq4ePEilpaWIEkSDMOAqqowTRPtdhuqqmJ0dBTnzp0j8ZElVpumSR0S7NnseR7a7TZCodC+DZEBDq4+tD8/TQ6Hs2f4wmjvbBQdfd/fsXCUTCbh+z4KhQKq1SpEUcTw8DD6/T7Gx8extLSEbreLixcvYnJycmCp1tdCEASEQiFMT09jcnISx44dw9LSEubm5rC6ugpN07C6uopyuUwhNCMjIyQkJpNJCtjxfZ88U5hxdaVSodYOVVURjUZJiGSt2qFQCJqmQdO0HT/Yt7tBZsE0kiQhHo9vWRkpCAI8z0Oj0UAoFEIymdzTBvwb3/gGfN9HPp/Hb/3WbyEajQ40ZY6d4ALrgRSDDiQaNHwe4jzzzDOoVCoAfj0eVFWF67ooFos4duwYnnzySdx777344Q9/iCAIIEkSfu/3fo+usdU4KhaLlAw9NDSE97///du+p16vh9nZWVy8eBHhcBgf+tCH9vYmsd6exio32WYPWP85vV42GjvBtm00m81bNiyGz0WcvcLHEGcQMMsNVoHIhL7drIWHhoYQjUaxvLwMy7JQKBTgOA5SqRQMwyBPRlEUUa/X0ev1yMtRVVVqK95oacTSqi+9H9ZqzYTHWq2GdDoNwzAwPDyMcrmMZrMJz/Oog4jZIyUSCXq/LNhGEAQS+SKRCEzTxOrqKmRZRjabRaPRQBAEVDlp2zZKpRJVJ1YqFSwsLKBer2NkZATj4+NUzZlOp5FIJOA4Dl2HtVczkVMURdobsHTrTqdDnx1nsHDRkcPhcK6AKIp0OsYMincqPKbTaQRBgGKxiEqlAkmSkM1mUa/XMT4+ThWP8/Pz6Pf7e27t3SmsejCdTuPQoUNYXFxErVZDIpFAOp1GsViE53koFoswTRORSASiKELXdRINU6kURFFEEAR0ksh+tdttOI5DFZGKoiAUCiEWiyGVSpFPZDgcpusNqirQNE1q97hSJalt2xQWpOv6noTfF154AadOnYLv+/jEJz5BJ7iDIggCXLhwAb7vIxwOY3R0dGDX5nCuF3/zN3+zqVp8bGwM3/72t/GFL3wBc3NzqNfreO9734t/+7d/w3/9138BWE+4Pnbs2FWv+9Of/pSS6Y8fP76je5qbm8Nzzz2HIAgQj8d3XCW5FfPz89TOpes6Op0OQqEQVbjfLHhYDIfD4ewvNvo8bkyHZgLbTgiHw5ienkapVEK9Xke1WiVxja3lWcVjrVajYBVgvbiCJU8z4S8Wi13xfiRJQiqVQrVahed5qNfrSKVSiMViVJzRaDTQ6/XoANEwDFiWhWQySa3SsixTxSN7bjIxkIVuGoaBZrOJIAioMpOFz8RiMbiuC9M0EY1GqYiCIYoiNE3DmTNnAKx3evV6PfovsC7+sg6njX6OzBuTM1i46LiPYQlPHM5OCYIAFy9exPT0ND+Z3SPs4coWBTsVHgVBQDabRRAEWF1dRalUIqFvo/DY6XSwuLiIIAjIB+xGwloYjh07hkqlglgshk6ng5GREdTrddTrdXrgy7IM13XpIc38UHRdh67rtJhgHpFMgOx0OtTy3Gg0sLi4SCJkMpmk1O1YLEa+MLqu76ryMAgCtFot2LaNdDq9ZaVREARwHAemaVIryF48XL71rW/B932MjIzgfe9738C9OpeXl2mxNjMzs+9bIvk8xAGA//3f/6Wv4/E4vva1r+Ghhx7Cj370I3z84x/HqVOnYFkWHnvsMaoK3iioX2kcse/TdX3Hfo7nz5/Hyy+/DF3X8c53vnPPhwPMKgMAzZ2iKN70sd/pdFCv16nK41YNi+FzEWev8DHEGQQbxxHzeWQiYbVaRTKZ3JXgpSgKhoeHoes6Go0GWq0Wer0eer0eHbyzxOZ6vY5Op0O+iqzludlsUmWiYRioVqtIpVKXdesoikJ7IxbCmEgkkEgkEAQBRFGEaZpUVSnLMgU2Mk/GVquFUCgEwzAgCAJs24Ysy4hEIrAsiyyEIpEIms0mut0uhVcC6/7PxWIRkiRhZGQE99xzDwzDQKlUArD+HF5dXaXCA8dx0G63EYlE0Gq10O/3kc/naR3NhEj2s72fKx3ZZ3zQ4KLjPman4RUcDqPb7aJcLmNsbGygrZ23IpIkXWZcvBvhMZfLwfd9lMtlrK6uQhAEZDIZNBoNjI2NYWVlBe12G0tLS3BdF2NjYzdFVBJFkUTPs2fPIpVKIRqNYnR0FK7rUtsEW0z0ej2qbnQcB47j0HXYCaKu6wiHw3Sq2ev1qAqy0+mQV8vi4iJUVYVhGMjlcshkMtSWzXwht0un00Gr1UIQBAiHw1tutJn3DPOv3Etr9blz5/D666/D9338zu/8DsLh8ED9YGq1GqrVKgRBwMTExK5Ow280fB7ifO1rX4PneQDW58GHH36YUquPHDmCZ599Fo899hh++ctfbjrIeNe73kXX2Goc9ft9PPXUU1Sp+Pjjj2/7nlZXV3HmzBnUajWkUil84hOf2PP7PHPmDIIggCzLkGUZQRBgbGzsplZLWJaFZrMJ4NYIi7kafC7i7BU+hjiD4NJxtLEIwXVd1Go1siHaKaz9mSUzW5ZFnUudTod81gGg2WySEKfrOoIgIO9EJvwZhkEt1JeuOdmauVarwXEcCsVhtlKiKKJarcL3faqAZN7w8XgclmWhVCphYmICoVAIAChhmqVT9/t95HI5hMNhattWVRWiKNLzjbV2O44D13XR7/ehaRo6nQ6Wlpbg+z5yuRxWVlbgeR4ymQzK5TJVbCqKAlEUaW/D9nb7NUQGWB9DB3EO4qIjh8PhXINBCI/MQDoIAlQqFTJMTqfTaDQaGBkZQalUopToTqeDqampm2JkzEJWcrkchoaGSBxkrQiO48DzPGpBYO0RrVaLhEcmRvZ6Pdi2jX6/T0Eyuq5vOuHsdDrodDrkDVmr1VCv1zE7O4tIJIJ06QtLCAAAIABJREFUOo18Po9sNksC5LVO+VjiNqu63GqzzUyvRVEk75nd8s1vfhO9Xg/ZbBYf+tCHBlpN5LoulpeXaQF2I0KHOJxB8I//+I/0dSaTwb//+79v+vtoNIqf//zn+NznPod//dd/pT9/7bXXrnrdp59+GsViEaIo4p577tnRz8Ts7CyeeeYZqKqKmZmZHbdmX4ppmigWiwiCAKFQiITQTCazp+vuln6/D9M06QDoVgmL4XA4nIMIS4c2TRO2bVOV4G67ZWKxGFRVhSRJ8DwPpmnCMAwEQQBFUWjtLUkSWq0W2u02iVjxeJxez0RAFhpz6Tpa13XyarQsi1qpme9jPB5HrVajsDdBEOg52e12IUkSisUiJicnKSDStm2oqop2u41isYh2u41MJkMp2MB6W7TruojH48hms5icnIQoiuj3+wiCAL7v4/Tp03AcB4lEgtKyZVkmH/dIJEK2TrIsbwqRUVV134bIHGT4J8rhcDjbYCvhcSuj5WtdY3h4GEEQoFar0aaZJdcJgoBGo4FqtQpgvXpuZmbmplXLMD+yVquFWq0G13XpVFYQBFiWhSAIyCNseHgYoiii2+3Csiy0Wi1YlgXbtuG6LnzfJ49H4NeeK6FQiIykAVDbB2vbaDQaWFhYQCwWw9jYGIaHh5FKpWjBsBWstTocDm/ZWs3aTmzbhiRJCIfDu/6ci8UiXnrpJfi+j4985CMDrXL0fR8LCwvo9XqIRqM33R+Ow9kuP/7xj7GyskK///a3v33F137rW98iT1QAOHnyJE6cOIEnnnhiy9c/99xzaLVaUBQFDzzwwLbviQn4c3Nz0HUdDz/88La/90qw8BhgfROmquomb6kbSRAE1DoHYNcVMxwOh8O5scTjcUiShGazCdu24fv+rjtwdF1HNptFrVaDoihot9vUQdntdiGKIgzDgCiKVEXIRLuNwqNlWYhEIqhWq1RFuZFwOIwgCNBsNmGaJkRRRCgUQiqVQqVSIfHScZxNHo6JRAKVSgW6rmN1dRVjY2NwHAfhcJjCb2q1GjzPI39KURSpuCEIAuRyOdx5550YGRmhgoVut4vV1VW61tve9ja89tprcF2X7gVYD3jTNI2EUACbRFnO4OGiI4fD4WyTS4VH9hDeicAkyzJGR0dpc7iysgJBEDYZ+yuKglKphH6/j9nZWYyPjw/cH3C7qKqKfD4PVVVRrVZh2zZ5xGQyGWpp8DwPhmGQGXQul0O/36egFtYKwcRAVg3pui75jjFfSNaiIYoiCYNM+KzVajh79izy+TzGxsaQy+XoxJJ9fkEQ0L+Rz+e3FB2Zz2Sv14OqqojFYrv2SPmXf/kXOnX97d/+7YGFx/T7faysrNDJ7/j4+IH0ceHcmnzpS1+ir5PJJB555JGrvn5j5Xi/38cPf/hD3H///Xj66acve+2zzz6LbreLeDyOT37yk9u+p3PnzuG///u/qcXrU5/61La/dytWVlaoqjCXywEAJiYmbkqVBGtJ6/V6EARh195gHA6Hw7k5RCIRCmNxXZd8FXez9mMp0LVaDQCompCJi+xZwaoVmShpWdZlwiMAqni89PkWiUTg+z5s20aj0aCCglQqhSAIaL3tui40TUM4HIZlWfTvKoqCarWKoaEhaq82DAOapqFWq9G9MouQarUK0zQxMzODeDyOer1OVZBMAE0kEpiamoIgCFhbW6NU6mq1SsUTiqJQojUAEndZuzdnsHDRcR/DN5ec3SKKIv3iDBZJkpDJZFCpVAYiPJqmiZWVFfT7fRLaAFC7NQAsLCwgn88jk8ncsP+nG8cQe0Druo5SqYRms0mLklgshkgkgk6nQ23ULJBF0zRks1lKAO90OnAch/5br9fRarWovWOjOMnaNAzDQDweRzwepwVNp9PBwsICVldXkUwmMTU1RW3HkUgEnudRFebGCsqNsNNT1va92815o9HAM888A9/38b73vQ+xWGxgggPzcRRF8ab7w+0GPg/durzyyiuYn5+n3//Zn/3ZNb+nUChAURRMTEygWq2i0Wjg+eefx7Fjx/Cd73yHxtHi4iJVRI6NjWFqamrb93Xx4kW8/vrr0HUdd911154OCHzfx/nz59HtdimIKpfLbXnIcb3xPI82Zxu9qjjr8LmIs1f4GOIMgu2Mo1AoBEmSqNKPJUnvZm3JWrcbjQba7Tb6/T7C4TB5LQPrImMsFoNlWfA8j4Q7JjyGw2G0Wi0IgkD2UpfeSzweRxAEaLfb5APJhMder0fdUiyFOhwOUzUiq8zv9XpIJBLodrtQFAX5fB6SJKFer6PX69FaOB6Pk5+jaZp0D5qm0TUNw0Amk8Hp06fRbDbp3+10OmTvpGkaNE2j7jImOu73SseDOgdx0XEfwxeMnN2iKAqOHz9+YCem/Q4T4fYiPKqqSmExjUYDhUIBAEh4rNVqGB4eRrlcRrfbRaFQgG3bGB0dvSEhIluNoUgkAlVVUalUyHfRMAyEQiF6ePu+D8dxUKlUKBRGVVWEw2EkEgmkUikKnul0OrAsiwRLVsnIqiMdx0Gr1YIsy9A0DZFIBMPDw/A8D7Zto91uY21tDY1GA8lkEuPj4xgdHSWfGk3TEI/Ht/w5YCevexUdv/Od71CC7uOPPz6wKkeWzHeQfRz5PHTr8rGPfYy+PnbsGL7yla9c9fWVSoXanj74wQ/iy1/+Mt73vvehVCrhwoUL+OhHP4o33ngD+XwezzzzDJrNJmRZ3pEf4/LyMs6fP49SqYRUKoXPfOYzu3tz/4dz586h0+mg0WjgyJEjZEdxo2m322g0Guj3+5QquhO/4VsBPhdx9gofQ5xBsN1xpKoqMpnMJkunVCq1q/U/q3wXBIF819nhWKvVQjQaRb1eh6IoFBDJiiJYuAwLc4nFYlfc87D06k6ng1qthkwmQ63WnudRCzbrkgqFQmTbxEIdE4kE+SH7vo9YLIZCoUCdVqybShAEqkhkxQWu68K2bfLQt20by8vLcF0XiUQClmXRmlrTNEiSREKl7/v0fvZziAxwcPUhLjpyOG9R+MLo+jII4VHTNIyOjgJYr5hjFY+pVArpdBq1Wg25XA71eh2+76Ner5PwmEwmr9dbI7YaQ6zdWtd1NBoNOI4D27apulGSJBLeXNcljxfHcWBZFqVYRyIRColhVZAs/KXdbqNSqaBSqcCyLEq1dV2XWrDZddh12aKkUCggHA5TW8hWIiBr1WCecKFQaFcnyJ7n4Wc/+xl838cDDzyAfD4/kCpHz/MoaS8WiyGfz+/5mjcLPg/dmgwPD6NarSKRSGwKiLkSP/vZz6iS4dOf/jSOHDmC2dlZ3HfffTh79iyq1SoOHz6Mp59+mvyZFEXBfffdt+17OnfuHE6ePEnz7l4CZCzLwvLyMs3RiqJgenr6ho/3jQnVuq7v2v/rVoDPRZy9wscQZxBsdxyx9uhqtYput4tqtbon24xEIkFhLc1mk6yQTNOEIAio1+vo9/vwfR/A+lq00WggkUhQZeFG4fHSQE1WVVmpVOh+M5kMotEoVRmyg7p0Og3TNEnodF0XlmWhWq1ClmUYhkFV+yzs0XEcaolmKdksoLLb7aJYLJIPZiQSwRtvvIFms0lFESy1OpvNbhJvN1ZAMjGSM3i46MjhcDi7ZCvhcaep1pqmYWxsDAAuq3hkp5zpdBqu61Jq9MWLF2GaJsbHx2/Kw1EURaRSKYRCIWqNdhwH1WoVmqbRYoGJg6wysdVqIRwOU8ALq5xUFAWKoiASiZDPYy6XoxCaSqVCHi4sia/VaiEej5OA6boums0mFhcXYZomfN/Hvffeu2WbBGut7vV60HV919WJP/3pT1EqlSBJEj7+8Y8PpMoxCAKsra1RpSar3ORwDhLPPPMMfvzjH1/Tx5Hx/e9/H8D6Juuhhx4CsJ5sfebMGbz3ve/F//zP/8CyLDzwwAO47bbb0Ov1EIvF8Pjjj2/r+pZlYXV1FWfOnEEkEsH73//+Xb0vxtmzZ2kOyWQyN9z+YKuE6pvl+8vhcDic6wPbZ9Trdbiui1qttqeAMNb9w6yNWKEDKxqoVCqU9swEQbYP2Sg8xuNx+vNLhUeWXr1xX8TappeXl8lKKRKJwLIsyLIMRVGoupIlb7Nnajwep/DHRqMBVVUhCMKmXwDI/3x4eJisq1zXRTKZRLfbhe/7VBXJhEj2DGXX2e+t1QcZfmSzj2FpShzOTgmCAHNzc3wM3QDYgkCWZfi+j0qlQqeE24W1WrMHY6FQQK1WI/9IVo2XTCYRCoUo/frUqVMol8vX5f/zdsYQ8zDL5/PI5XLIZrOQZRn1en2TKbWqqkilUkgmk+j1eiiXyyiXyyiVSqhWq+TnAqyLDpFIBNlsFuPj45icnMTRo0dx9913484778Tk5CQSiQRkWUaj0cDi4iKF2LDAm0qlggsXLuD8+fObklwZG1urFUXZlVjQ7/fxgx/8AL1eD7fffjuOHj06kCpH1mIuyzJGRkYOtKE1n4dubbYrOAK/ToBOpVKX/d1TTz2Fhx9+GIIgoNPp4NSpU2i320gmk9u2HWBVjkEQQNd1fPazn932vV1KuVwmi4nJyUkK1bpRsPmfbZaY5y3nyvC5iLNX+BjiDILdjCNWQcgEMdM0N3kZ7pRoNErt1ZZlwTRN6LqO4eFhTExMkEdxu92mFO1yuYxYLEZFA6ZpotPpoFqtXvZeRFEkMZL5Ofb7fWQyGaRSKQiCgFarBd/3oes6iYwAqLCgXq9vCnhJJpNIp9NIJBLQNA2yLFPyNAupURQF2WwWkiRhfn4ezWYToVCIvCmDIKAqR7b2Z7YuTLjc763VwMHVh7jouI9hP2wczk7pdrvkBci5/rAH7F6FR9Y2zdoENqas6boOURQRj8fJN6XX62FpaQmnT5+mh/qg2MkY0jQN6XQaQ0NDyOVyyOVyCIVCsG0b1WoVruuSdyJrHQ+CAJVKBfV6HdVqFeVyGa7rbrquLMuIRqPI5/OYnp7G2972Ntx555245557MDU1hWg0ClmWsby8jMXFRbRaLcRiMWiaBgBoNpt4+umncf78eZimSZ8Pq7xkrdq78ch5+eWXce7cOQDAo48+OpAqR8/zsLa2Bt/36WT4IMPnIc52cByHQrMmJycv+/tut4u//uu/vswXciebrvn5ebz66qvQdR333nvvrn9efd/Hm2++iW63C13XEYlEyCLjRsCeL51OhypKeGXGteFzEWev8DHEGQR7GUcsvBEA+aDvdt0fiURojWnbNur1OoD1FuwjR47AMAzEYjH0+33UajX4vo+1tTWyNdooPFYqlcuEsI2t0Z7noV6vQxAEjI+PIxwOk3e9pmkQRZHEPmbHxLqn2F6KFWGkUilkMhlks1lks1kqfBgeHsbIyAgymQxKpRJWV1epI0IQBLTbbUiShKGhISoQYKLjxs/wIDxPD+ocxEVHDofDGQCSJG0SHjc+LLcLEx5Z2EqxWESlUqFTTnb9cDiM4eFh6LpOp3zz8/M4e/bsJnHtRqMoChKJBIaGhmhBEI1GyaORnZgqioJYLIZ0Ok3tF61WC7VaDeVyGb1e77JrMwFybGwMMzMzuPPOO3H//fdjenoayWSSWkDYCfLo6CgURYFpmnj++edx6tQplEoldLtdau1ghtS74Tvf+Q56vR5GRkbwnve8ZyBVjsViEZ1OB4ZhIJvNcm82zi3Br371K7TbbQiCQK3VW/FXf/VX+IM/+AP6/dLSEn73d3/3mtdvNBooFosolUpQVRWPPvroru91cXER7XYbzWYTY2NjtDG7EXieR/Mj24CxAxYOh8PhvPWJRCLk3eu67paVhtslHA6TP3y73SZPR1VVcfvtt1NlYSgUIm/5YrGISCRCQTBXq3hkwWbsXhuNBkRRxPT0NCRJoiBNwzAQBAG1UQuCANM0yReSXVeSJEQiEarUTCQSSCaTtD9KpVJwXRcLCwtoNBrQNA3JZBKWZV3WWs3auT3PQ6/XgyzLEEXxQHcX7Xe46MjhcDgDggmPrKVgN8KjoigYGRlBKpVCr9fD6uoqnSJqmoZsNotYLAZRFEngYw9Jx3Fw4cIFzM3NUSvBzUCSJMRiMap8zGaziMfjdCLKThb7/T4terrdLgXTlMtltNvtLa/NPFfy+TxGRkZw11134Z3vfCcmJycRDofRbrepZXtqagqyLKPdbuP06dN48803sbKyQonZ7D53ysrKCl566SX0+3385m/+5kAqEpnoKggChoeHD2w6HYezU06ePAnf9yFJEj796U9f9bXMCJ/xox/96JqBMCsrK/jlL38JQRAwNDR0VWHzajA/3W63i2QySd5RNwI2rwVBAEVRyHaDw+FwOLcWoVAI6XSaqgiZf+Jur7VRGGTVk6IoYnx8HPl8HolEApFIhPYVhUIBhmFcVvG4VeWlqqokbDqOQ8Eu4+PjANYDJ9vtNqLRKAmPrDvKNE30ej0SQ6+F67o4deoUCoUC+v0+hoaGoOs6fT8r3GDt42wvwpKrWUcZ5/rAP1kOh8MZIKwCZaPwuFPxT1EUjI6OUiVgsVikKjhBEBCJRDA0NETGz/F4HOl0GqFQCKIootls4sKFC5idnUWj0dix8DkomEDIhEfWMswWSez9dLtdaJqGWCyGVquFRqOBarVKqaxbIYoiCZtjY2M4duwYjhw5AlEUEQQBVFWlxY2u6+h0Ojh//jxee+01WpCoqrorP8fvfe97sG0b8Xgcjz766J6rHPv9PiWXJ5PJG1Y5xeHsB370ox8BWLdpOHbs2FVf+8orr0DXdaTTaapSfvHFFzExMXHF71lbW8Pc3BxUVcWDDz646/s8c+YMut0uOp0OhoaGNvliXU8sy6JNk67rOw4r43A4HM5bC1VVN+01KpUKPM/b1bV0XSfhcWPVoiiKyGazGBoaotbuZrOJIAiwsrICwzDI47HRaFDl5aUCoa7rdDjPAiJZdaIgCGg2m1SEwLq52u02ut0uHMehxOsr4fs+arUaLly4gFKpRM/oXC5H4TSSJCGfz1OFpa7rsCwLwMHyczzIcNFxH8PVds5uEUWRfnFuPJcKj1v5nVwLFiSSzWYBrIcXLC8vU/s0q3TMZDJkisz8HmOxGGRZhmVZuHjxImZnZ8mTZbsMcgxdKj6yNghmMM3aKXzfRzKZhCiKKJfLm6o8r4QkSUgmkxgbG0Mmk0Emk6FKUbZgEQQB4XAYruvi3LlzeOWVV9BoNBAOh3fcwtxsNvGLX/wCQRDg/vvvRy6X2+vHQxWeoihSkvlbAT4Pca6F4zhYWFgAAAwNDW35GjaGqtUqeT/ecccd1OIMrLdaf/7zn7/se3u9Hs6cOUMJmdtpx94K0zTp4IeF3dyIKkfbtunwJRKJ0MaQszP4XMTZK3wMcQbBIMeRLMvIZrPUKsw81HcD82Zn1ZMbhcdMJoNcLkd7DMuy0O/3sby8TL6IoVCIhMetKh7D4TAdFJqmCc/zMD4+Dk3T0O/30Ww2oSgKJElCNBqFJElUBdnr9dBut9FqtTZds9/vo9VqoVQqwbIslEol8kQfHR0l38her0eFDaqqQpZlyLK8KbkaOBh+jsDB1YcO5l3fIvDWGc5uURQFx48f52PoJnJpq/Vuhcfh4WHk83noug7TNFEoFMibEPj1aWcikYAoilAUBeFwGKlUCqlUCoqiwLZt8nzc+L1X43qMISb+5XI5ZDIZEh9936ekOkEQ6ETVtm0Ui0Wsrq5e855VVUWv10MqlcLtt9+Ou+++G9lslvwbNU1DIpFAr9fDxYsXsbCwcMUW7qvx4x//GJVKBbqu41Of+tRAqhwLhQIAIJfLDcQbcr/A5yHOtXjllVfQarUgCALuueeeLV/DxtEbb7yBZrMJSZJwxx13AFgXG3/jN34DsVgMH/vYxy773tXVVZw8eRKSJGF0dBRHjhzZ1X2ydG1WWR6PxxGJRHZ1re3S6XQoLOdGVVW+VeFzEWev8DHEGQSDHkcbwyZZ6Mtu1rbA+jqaCY/dbpdCMdm/kc1myUeRtUAXi0WoqgrHcaDrOhqNBtrt9pbCYzQaJTsoFlwzNTVFFZbtdhuhUIiSrjudDlzXheM4CIIArVaLhMJ2u41SqYRWq0XiI3sPLMBG0zQUi0UK+2R/pus6CZm+70MQBNqfHAQO6hz01tndcDicTRzUk5C3ErIsI51Oo1qtUqs1e/BtF0mSkM1mEQqFUKlUYJomVldX4bou0uk0bXzD4TC1C1iWBUEQ6OHreR4sy4LrulheXka5XCbB72rJzddrDLGHO2uh0DQNlmXR6WcymaSQhI3hMplM5oqLAibsMkFiZGQEi4uLmyqkhoeHYRgGut0uSqUSlpeXMTY2hng8vq377nQ6+OEPfwjf93H33XfjbW97254/C+Y/qSjKQKom9xt8HuJcjVOnTqHT6UAURdx7771XfJ0oijh37hxc14Usy5t8HH/1q19d8fuKxSIWFhYgyzLuvvvuXd3jysoKeUuxFrHrXeXIqsCBzRUinN3D5yLOXuFjiDMIBj2OWNhkvV6nQBgAuwpFYZ7BbN9SqVTIC5G1Q7MWZXYIuLq6itHRURINWSt0vV6n0BtGPB6H53nwfR+maSKZTGJ4eBiFQgGtVguqqsIwDLRaLeRyOayurkKSJGq/Zp1BnuchCAIEQQBd18n6hFU0SpJE+x5g/ZktCAJEUaS9ku/7CIIAsixDURQezHad4aIjh8PhXEfYg7pSqVAS206FR0EQEI1G6YSuVqtRG0U6nUYymYQkSeRzaBgGLMuC4zjkXcjajW3bhuu6KBQKqFQqmwS+m0EoFEIoFIJhGJBlGaZpolKpIJFIIBqNQpZlVKtVWgCl02nEYrHLWgyZIKsoCnnQhEIh6LqO119/HZVKhXzdmMh44cIFxGIxvP3tb9+Wt+PJkycxNzcHRVEG4uUYBAFWV1cBANls9i1V5cjhbIeTJ0/SpuELX/jCVV/73HPPUZvU448/vq3rz83NYW1tDeFwGO9617t2dY9LS0sA1n2pQqEQ4vH4da2IYG1ybO7e7qEIh8PhcG5dmMDnOA75AO/mWSXL8pbCI0ujBtaFU5YyzTwex8fHYds2VTyydTr7HvZ9yWQSlUqFig6GhobQbDap+CCVSsEwDLTbbaTTafJkZAeUkiTB933ouk5BMY1GA0EQIJPJAFg/rFtbW0O32yVPSU3TIEkSVFWltTcTUMPhMD9UuM7wT3cfc7OSZzkHnyAIMDc3x8fQPoE9wFnLwm7CZYD1toF8Po/R0VHE43E4jkMhMxvbKVgLYC6XQyQSoQc/831koTOe52FtbQ1nz57F/Pz8Ji+YGz2GDMPA0NAQeWFWq1U0Gg3IsoxcLgfDMNBoNFAqlVCtVsnfpVarYWlpCefOnaNwF+bLEovFMDExgePHjyObzUKSJCwsLFDru+u6eO2113Du3LlrJv95nofvfve76PV6GB8fx8MPP7zn91wul+F5HlRVfUtWOfJ5iHMtnn32WQDrP//Mv/ZS2Dh67bXXAKxvYLaTGG9ZFp577jn4vo9oNIqPfOQjO74/tglyXZfmldHR0R1fZ7uw9jiWpsk9HAcDn4s4e4WPIc4guN7jKJFI0LOq0WjAtu1dXYd502/0i/Q8j1qV2V4iHo+j2+2i2+1iZWUFkUgErutC07TLKi8ZqqqSXYhpmvB9H1NTU5BlGZ7nwXVdEgcNw0AsFoPneej1erQHANY9oZmPJADybNQ0bdM9MzGWFW50u120221qqwZw3e1SBslBnYO46LiP2Y7vGoezFd1uF+VymY+hfcSlwuNWfifbQRAEJBKJy0JmVlZWUC6XNwmHkiRRwnM0GqWTSUVREIvFkM1mYRgGJb+dOXMG8/Pz6HQ6N2UMaZpGYTORSASNRoOCc5jQYNs2yuUyarUaWq0WXNeFaZpwHAehUAi5XG5TKyITX++77z7E43H4vo9Go4FYLIZQKATbtvHiiy9icXHxqg/yF154AadOnYIoinjkkUd2lXq9EbZ4AtYDNN6KJ6x8HuJcjWeffZY2I1cT3bvdLt544w1qN2Z+jtdiZWWFKpOvlYp9Jebn5wGAqg6TyeSef/avRqPRoI0d86Xi7B0+F3H2Ch9DnEFwI8bRxsN30zQppXmnMIFRVVUS8TqdDgRBoK6jbDaLZDJJQl6xWLxMeGTi4EYikQiFyNTrdSiKgvHxcbrnIAigqioEQUAsFoOmaeh2u5BlGaIokt1JJBKBqqoIhUJIJBJkLdXpdLCysgLXdemgUJIk6LpOydiyLFPBwUGyMDmocxBfzXA4HM4NYqMniud51P6wG0KhEIaHh8mnsNVqYXV1FYVCAeVyeVPloyiKiEajGBoaQjwep3YCJkqySkJWZXP69GksLi5es/rvesBOV1OpFJLJJCzLQq1WQ7fbRSwWo+CZVqsFXdehqioikQjC4TDGx8cxOjp6WZtyIpFAKpXCzMwMnYSapkmfRaPRwMmTJ0kEvJRWq4Xvfe97aLfbGB4exmOPPbbn98kWnbquI51O7/l6HM5B44knniBT+DNnziCVSuHrX//6lq+dnZ2F4ziQJAkPPPDAtq6/srKC5eVlKIqCd7zjHTu+P9/3USqV0G63qQrieno5tlotqr5IpVLcboHD4XA4u2Jj2BlrXd4NTHhkAmGtVoPruiQ8RiIRDA8PIx6Po9frodVqYW1tDZFIhNqn6/U6bNu+7B5YAGa320Wz2UQymUQ6nUa/30ej0YAoigiFQmStNDExgZGREaiqCs/zyMed+TFKkoRwOAzLsjA7O4t6vY5oNEr3J4oihd6w4EoWwHk9DxM563DRkcPhcG4giqKQ8Oi67mWnfzuBCXSjo6PI5XLQNA2maaJYLFLK9UbxURAEGIaBXC6HRCIBWZbR7/fpJDGTyVByXLVaxfz8/K5bwfcC23SnUimk02kK4WEtF4qiQJZlWJYFz/PIz5KJq1vBgmtmZmYoJbpSqSCbzcL3fZTLZTz77LPcPcwjAAAgAElEQVRYW1tDu91Gu92G67qoVCr4j//4D7z++uuQZRmPPPLInj3WPM9DuVwGAOTzeV7NxLklOX36NFVm9/t92LaNP//zP8ff/u3fXvbac+fOwfM8yLKM+++//5rX7vV6ePnll+E4DhRFwUc/+tEd39/Kygq63S4sy6K56HptTBzHofTNeDx+1YAvDofD4XCuRSwWozVxs9mkZ8xOYWvySxOymfBoGAbGx8cRjUapm6hcLpPwqCgKTNNEs9lEp9Oh60qSRFYpzG9+bGyM7J8sy4IoitSRFQQBIpEIebaLokhp2dFoFJ7noVqtUhGGpmk4evQodQ1sDJwB1g8WmVDJbUyuP/wYlcPhcG4wrE2PPbhFUdyTkGUYBrUKt1otWJaFVqtFv49EIlQNyDxMmAjnuu4m8Y61ZZRKJfR6PSwtLaHT6WB8fPyGV95Eo1EoigJJktBqtVCtVpFMJqFpGlUK+r6Pfr8PwzDIy2Urut0uFEXB0NAQxsfHsbKyAtu2Ua1WMTQ0hFKphEKhgBdeeAGHDh1CKBRCqVTCwsICnnzySbTbbUxNTeHRRx/d8/taW1tDr9eDYRjb8qbjcN6KvPrqq+j3+3T4AayLb3/3d3+HUqmEv//7v6fXvvTSSxQ48/73v/+a165UKnjhhRcgCAImJycxMjKy4/srFAqwbZusKa5XlaPneTBNE8D6nHc9Q2o4HA6Hc+sQjUYpabrVaqHf75Of4k4QBAHJZJJEvo1BNSwoZnp6GnNzc7BtG/V6nURJy7IgSRJs24YoiuSxDqwHtEUiEViWhUajgWw2i4mJCczOzqLZbELTNMiyTKIgKy4IhUKo1WpwHAe+76NYLFIYjGVZ6Ha7GB4extTUFImMrLXa8zxomgbbtiFJ0oHyczzI8PKKfQyvfuHsFlb1xcfQ/kXXdSSTSQAgcXAvsAdxPp/HyMgIcrkcdF2nE79isYjV1VU0m034vr/pPjKZDDKZDFXxsDZwXdchiiLq9TpmZ2c3nVDeKNj9xeNx8o3pdDp0Yuk4Di1IrubJ0u124bouUqkUpqencezYMaiqSu0gLPGuUChgcXERL7/8MlZXV7G8vIzl5WWkUik8/PDDew58cV2XFmNvVS9HBp+HOFfi2WefpWpfWZYxPj6Or3zlK5RY+Y1vfAOf+9znAKxvdorFIgRBwNjY2LauXygUMD8/D1VV8fa3v33H92eaJkzTRK1Ww9DQEFKp1HWpPuz1euTvGwqFDpSv1EGCz0WcvcLHEGcQ3IxxFIlEqLCBhaPtBiY8bgyqsSyLKiFDoRBmZmYQDoc3VTzquo4gCOC6Ltrt9mWe9qzAIAgC1Ot1GIaBfD4PYP0AkYXBRaNRaJqGTqeDXq9Hh3S+70PTNGqf7na71BbOLJlYkEy73aY9BNsLHbTn7kGdg3il4z5GUZSbfQucA4qiKDh+/PiBnZhuFUKhEIIggGmaaLVa1EawF0RRRCQSgWEYJGbatg3HcWBZFkKhEAzDQDQaRSQSodNGVVWRSqXQ6/XId+XBBx9Ep9NBq9WC4zg4d+4cpqambvgDWlEUZLNZ1Ot1Ej4lSaLqJeZRebX7YqebiUQCk5OTMAwDruvijTfe2HRNQRAwNzdHJ6+rq6uQZRljY2P44Ac/uOcWjNXVVVos7bVNe7/D5yHOlfiLv/gL8owNh8P4wz/8Q3z1q1/FxMQEvvrVr6LZbOL73/8+VlZW8O1vf5vasN/5zndu6/pzc3NoNBoIhUL48Ic/vOP7W1paQrvdhmEY0HWdNkCDJAgC1Go1MsznVc/XDz4XcfYKH0OcQXCzxtHGYBnbttHv93f9zInH4xAEAZZlodlsknUTq3icmZnBhQsX4DgObNum9Xm/30er1YIkSTBNk/59JmaWy2V4nodWq4VsNotOp4NKpYJyuYxWq0VdB8D6YWUoFEI2m0WhUEC320UoFEKxWES9XqcQTYamaZSA3ev1qLVakiSEQqG9fLQ3nIOqD3HRkcN5i8IXRgcDwzAQBAFarRZM06TW570iCAKJj+zBb1kWHMdBqVSiB/il4qMsy0gkEjAMA7VaDaIoUthKt9vF7OwsxsfHqTLwRsFOLX3fpxTu7dLr9eA4Dvr9PnRdh67rGBkZQbfbhed5OHPmDCXGOo5DSXmsSjQSieAd73gHZmZm9vQebNuGaZoQRRFDQ0O3hIcMn4c4W/HSSy/R17lcDl/96lcBAF/84heRyWTwpS99CZVKBU8//TQefPBB8nPdTmu167r4xS9+Ad/3kUqlcPz48R3dG2vVajabGBkZQTKZHHiVI/PF6vV6kCQJqVTqlpgPbiZ8LuLsFT6GOIPgZo0jwzAgCAIajQaFuO1WeIzFYhAEAa1WC81mE6qqQlEUepZNTExgcXERtm0DANkgybKMRqNB/uxMDGV7j3q9jlarBU3TMDExQR7z7XYbvu8jn88jHo+T8NZoNKCqKnRdR7PZRLlcRr/fRyqVgqIo9D5DodCmKkdmKcU+E871h4uOHA6Hc5NhJ4DM04QZHg8CdgJpGAZisRhs20az2YRt2yQ+RiIRxGIxWhAAm6sLASCTyaBaraLX62FxcRGdTgejo6MDucedwMTRneB5HtrtNp2MsuTuyclJeJ6HIAgwPz9Pp63pdJpat0OhEG677Ta8733v29PCpN/vo1Qqwfd9xOPxA9fOweEMitOnT1M1taIo+NM//dNNf//YY48hHo/j85//PFZWVnDhwgUA65ucRx555JrXX15extzcHGRZxl133bXj+2MBMp7nUYDMoDFNE57nkecVFzM4HA6Hc71h3u71ep0O4xOJxK7Wt9FolKyLarUacrkcraOB9QP/YrFIwh9rcWbCoyAIUBSFDvVCoRC1YNfrdWSzWYyPjyMWi5EvpOd56HQ66Pf7cByHru37PkqlEh1QyrIMXdcpKFPXdZimiU6ng3A4TCGe3M/xxnFDRMcTJ05MAzgO4DCAYQAGgC6ABoB5AK8DePGJJ55oX+katyI3OjGW89YhCAJcvHgR09PTfDNzQIjFYgiCAI7joF6vI5VKXTEUZbewKr9oNEqnk7Zto1wuw7IsGIZB1ZGKotAYsiwLlmUhm81S+M3a2hpc18Xk5OQND5jZKZ7nkffjxipSSZJw6NAhWsAUi0VYloVSqQRg3Usml8vh9ttv33N7JWtDkSTplqly5PMQZyu+/OUv09e33XYbPvvZz172mg984AP4z//8Tzz22GM4c+YMgPX0zW63e83rFwoFFAoFKIqCBx98cMf3VygU0Gw2kc1moWnawDclrOIcAFKp1L6fP98K8LmIs1f4GOIMgv0wjtjhe71eR7vdRr/fRzKZ3NW6NJFIoFwuk4cju04ymYTv++h2u6hUKnBdF81mE5FIBLquQ5IkSqfeGCyTSCTQ7XbR6/XQaDSQSqWQTCYRj8dRr9dRr9dRqVQo+JJ1Y62trWFtbQ2WZSGVSiEej5MXvCRJcF0XQRDA933yc2d2VAeNIAgO5Bx03VY6J06cuA/A/wXgdwFMbONbuidOnPhvAP8fgO8+8cQTzet1bweF7SyuOZyt6Ha7KJfLGBsbG7hwxbl+JBIJMluu1WrIZDLXxbtDVVWk02lEo1EylXYcB5VKhcRHSZKwtLSE0dFRxGIxqKpKYigzjzZNE2fOnMHk5OS+rtxjlY66rl/mmakoCo4ePUpG0ysrK9A0jUJnVFXFoUOH9uS1GQQBLco2mnC/1eHzEGcrnnrqKfr6H/7hH674uqNHj+InP/kJpqen6RD2nnvuwc9//nMcO3bsit/35JNPotPpIJ1O40Mf+tCO7o0FyNi2jampqYFXObbbbTSb68vbeDzOfy5uEHwu4uwVPoY4g2C/jCMWZlmv1yngcDfCoyiKSCaTqFQqaLfb0DSNqilZiAvzL+71euQnydqdZVlGvV5HOp2GIAgkWDKh0rZtyLIMx3HgeR6A9apG3/fhOA7y+TxqtRrm5+dRr9cRiUSQyWQwOTlJFZfAr33dVVUlO6VB+OjfDLrd7oGcgwYuOp44ceL3AXwFAIsL3O7oVQF88P/8+n9OnDjx/wL4v5944on5Qd8jh8Ph7FeSySRqtRo6nQ6q1Soymcx1q4Rh4TGs8pFV4LBwg2q1irW1NaRSKYTDYWSzWVSrVTiOg06nA1EU4Xke5ubmMDQ0hFwut6v25+tJEATodDrwPA/RaHTLBYamabjrrrsQiUSQTqexvLxM3pHDw8MYHR3d06mi4zhoNpuQZZnaTzicW5Gvf/3rlBgZiUTw0EMPXfX1qqoiHA5TO3alUsFDDz2Ep556akvhsVKp4NSpUxAEATMzMzs+DFlaWoLrugiHw9B1faDetaxyAwBZXnA4HA6HczPQdR2pVAq1Wo2KHXbjL6yqKmKxGJrNJkzThKqqkGUZkiQhnU5TeEur1UIQBGi32+j1eohEImi1WpBlGYqiULiioiiIRqN0vY3E43FkMhmqXCwWi/8/e/ceJkld3g3/W1VdfT5Nd89hZ5c9cFTEhcUFROUQT4sSCgUv9ZXnxRAEEh/FUzTPm2jEaJ74qskTCcTHmDdGvcyTEL0wJQYCeOAiIKiwLAdZlOEwy56mz+dDVVe9f/RUMbM7h+6umpnume/nuvqa2Z2q7t/s3vOb6rt+v/vG1NQUZmZm4PF4sGnTJpxyyinzEo6maaLRaMyr5wiA9RxXmWvvZBVFeRuA/xfAq/ByorGNztbpnwP4JYCjALIAcgACAJIAEgBeAeB8AOcBSAEIAvgggOsURfk6gJtUVc27NVYiokFl3R3MZDLQNA3ZbBbJZHJFt+BZxZ8jkYjdcKZQKNh1H3Vdh9/vRyAQgMfjsbc5xmIxeDweNBoNHD58GNVqFZs2bRqoN9PW1mpJkuD3+xf9d5RlGdu3b4fX68XExARmZmbQbDaxbds2x419MpkMDMNANBp1pUkQ0bD6whe+YH++0LbqY+3duxemaUIURezcuRO//vWvUSwW8frXvx4/+MEPjktaTk9P44UXXoAsy9i1a9ciz7qwuQ1kNm3ahEgk4uq8WywWYZomfD7fuu9cT0REg8/n8yGZTCKbzdqLHaxVh70Ih8NoNptoNpvI5/NIpVJ2zcZUKmVvmW42mzAMA5qmoVgsIhaL2bXsZVm2r5HD4TBarRYajQZEUUQgEEAwGLR3f1kNZo4ePYpsNgsA2Lx5M3bs2DEv4Qh0msuZpgld1yHLsn0Tcxi3Vg8zV66mFEW5HYCCTrLRBPAzAN8G8H1VVcs9PtcuAO8H8F4AYwA+BOC9iqK8T1XVH7sxXiKiQWY1F8hkMtB1Hel0ekVqPB5LlmXE43FEIhH4fD6MjIwgHA6jXq+jXC7D7/fDNE3EYjF7ZeTY2Bj8fv+8BjXJZBITExMDUavM2lo992JmMV6vF5s2bUIul8PmzZvtix0nnWs1TbNXN3GVI21k1rZqq6HTn/7pny57jtWFOhgM4q677sKnP/1pfOc730G1WsXv/u7v4ktf+hL+8A//0D7+6aefRrFYRCgUwmWXXdbT+A4ePGivyEgkEhgdHe3tG1yCtcpCEIS+u4USERG5zSq5lM1m0Wq1kM1mkUgket7hMzIygpmZGWiahlKpZN9c8/v9GBsbg67ryOfzdj1Fqw5kMplEsVi0O1pbicWRkRFomgZZlo+7dhYEAe12267JvmnTJmzZsgXJZPK4HVfWykpZlu3kI8Ck42pzqwrl5eg0hvkagB2qqr5RVdV/6jXhCACqqu5VVfWjADYDeDeApwGMAni9S2MdGsNYJJQGg1WrgjE0vERRRCqVgtfrte/oWXfnVpokSYjH4xgdHcXExARGR0ftLRe6rturASVJQqFQQK1Wg9frRSAQsDvI7d+/H5lMBqZprsqYF9NL0hF4+a5vKBSyk7xOkr3pdBqGYdhNejYSzkM0l5VkjEaj2L9/f1dblx9++GEIgoBQKIREIoFvfOMb+OQnPwmPx4Nms4lPfOITuOmmmwB0Ens//elPAQDj4+M47bTTehrfgQMH7CL01nYxN5imaW8RC4fDA1eCYiPgXEROMYbIDYMaR16vF6lUyi6blM1me25oa9V3BIBqtYpGo2F/LRQKYWxsDOFwGIIg2O9tJElCqVRCu91GuVy2yzsBsI87NuGo6zpKpZK9wyoajdrvU47daTW3xJLf7wcAu3zSIO3K6sWgxU633FqG8k0Af66q6osuPR9UVW0D+J6iKN8H8D4AG+4qbSUaSNDGIMsydu/ePbQTE3WIomjfAbTqAuq6jlgstuIr5mRZxrnnnmvHULPZRLVahaZpaLfbME0T7XbbHptVPNrn89l/V6vVMDMzg02bNiEej6/6Kj/TNO3tGVZX7m5Yne0Wu+DpRS6XAwBXa8MNC85DNNfFF1+M5557DhdccEHXqwgPHDgAADjppJPsa6LPf/7z2LFjB2688Ua0Wi188YtfRLlcxoc//GEcOHAAkiThzDPP7GlsxWIRlUoFlUoFr3zlK5FIJHr75pZQqVTQbrchSdKGu/EwKDgXkVOMIXLDIMeRLMv2ise55Z16GavP50M4HLbLNM3tTB2NRu33EOVyGYFAAJVKxS7TZJomPB4PPB7PcU3cdF1HvV63Vy3W63Wk02nouo54PI5kMnnctmrg5a3V7XYbHo/HrucYDAYH8v+gG8OaH3Il6aiq6rVuPM8iz20C+O5KPT/RejWskynNZ23Hk2XZTuZZ2/9W+v947vP7fL55K/6azSZ8Ph+i0SjK5TLS6TTK5bJdDLrdbiOfz6NQKGBmZgYjIyPYunXrqiYfNU1Dq9VCu92GLMv2Xc5uNJtNAM5WOVYqFbRaLUiStODF0EbAeYgsX/jCF+bVdFzOzMyMvUJw9+7d8772+7//+9i2bRuuuOIK1Ot13HLLLXj00UdRLBYhyzJOOeWUnsZ24MABaJoGv99vr/hwQ7vdtleoR6NRlldYQ5yLyCnGELlhkOPIqsFo1ZXPZDILblleSiQSQavVQqvVsus7Ai/XrLcSj5VKBX6/H41GA/V6HV6v1266KMsyAoGA/TVd19FqtexVi61Wy+7iPDo6imQyuWAppHq9DsMw7H9zTdMAYGhXOQ6ztS+4RUREywqFQvB4PMjlcmi1Wkin0yveYGYpVhKy1WohHA4jGo3aW60rlYrdma7ZbKJSqaDRaODIkSOIx+M44YQT7C2MK3nxpWkaGo0GJEmyu+l1y42ko1XcOh6PD/RFJtEg+vnPf45mswlJknD++ecf9/U3velN+MlPfoJLLrkExWIRP/vZz+DxeHDWWWfhggsu6Pp15jaQGRsbQyQScVTHda5SqQTTNO3yE0RERIPM4/EglUohm81C13V7xWO3iUdBEOz6jq1WC+VyGZFIBEAn4To2NgZN02AYBiqVCmRZhqZpqNVqCIVCdmOZUqlkN6fRNA2SJNkJyVqtBgD2KseFyqFYNR+trtWSJNnX9tZ4aPUM3LsgRVHOURTlrxVF+au1Hsta67WWApHFMAxMTU0xhtYZ646ex+NBu91GOp2eVzPFTd3GkNfrxcjICLZs2YJTTz0V27dvRyKRQDQahSzLiEQimJychCiKKJfLOHz4MPbt24d9+/bh+eefRyaTQblctgs7u0nTNNTrdbtxRberjHRdh2EYdue9fsyt47ZRVzlyHiIn7rnnHhiGYa9cXCiOXvOa1+Dpp5+2t2Lpuo59+/b1VM/x4MGDMAwDrVYLiUTiuG1d/Wo2m6jX6wDAbtVrjHMROcUYIjcMSxxZiUdJkqDrOjKZDNrtdtfnW7XhAaBcLtvJPutrExMTiMVidi14URRRr9fRarVgGAay2SzS6bRdnsRqPGMYBjweDyRJgt/vt2s5LnRj33p/ZNWOBGDvPuqmxvugGvTYWczAJR0BnA7go7OPDc1aAkzUK03TkE6nGUPrkHUh4PP5YJomcrncijSY6SeGvF4vxsbG8MpXvhInnXQSEokEAoEARFHE1q1b8epXvxrxeByNRgMvvvginnzySTzzzDPIZDKYmZnBzMyMqwlIq+6LJEk9rTKyLo6c1HMsFAp2052NekeV8xA5sXfvXgCwt2MtFkepVAoPPPCAvSpZ0zScfPLJXb/OgQMHUK1WMTIyAo/H40p36bk3HUKh0NDWYFovOBeRU4whcsMwxZEkSUilUvZCh1wu11NzyEAgYCf38vn8vGSZ1+vF5OQkIpEIgsGgXUe9Wq3CMAz7dQRBgMfjsXcLWA0tAdg3CRdLIFo3/ayE5Nx6jmu1S8wNwxA7CxnEpCMRES1BFMV5XdpKpRIKhcKad4q2CIKAWCyGrVu3Ynx8HKOjowgGg5BlGSeeeCLOOOMMbN68GT6fD5lMBk8++SRefPFFFAoF5PP5eQlIJ79crbovHo+np7uabmytthrIrEUDHaJhV6vVcPDgQQCdJjLLqdfrOOecc+w3EtPT05icnMSLLy7d39BqIFOtVjE+Pu5aKQSr9q4oihv2pgMREQ03SZLsZjKapqFQKPR0fiwWg8fjgWEYyOfz874WCAQwOTmJUCiEYDAITdOg67pdVkWWZQiCAMMw7JWNsVgMPp8PkiQhFostepOw3W7b7wFkWYYoivbKx4W2YtPKG940LxHRBmYl9jwez6o3mOmWJElIJBJoNpsolUp2AtHv92N8fBz5fB7T09Oo1WooFotoNBr2aiO/32/XgrH+3MvdSauWi67rxzXBWY7TpKOu6yiXywDgahdcoo3iscceQ7lchiAIOOOMM5Y9Pp/PI5fL4fTTT4dpmti/fz8ymQze+c534tFHH130vEOHDqHdbsPr9brWQMYwDPvnPxqNDsx8TERE1CvrWj6bzdoli7q9mWY1j0mn03aN93A4bH89Go1i06ZN9jV7o9GAIAiIRCIIh8PweDzQdR2macI0Tei6DkmS7PrLi+0isFY5WuP3eDz2rjCWO1kbvBIiIhpioVDIvgvZarUwMzODSqUyMKsegZdrUcZiMYiiCF3XUalUEI/Hcd555+EVr3gFotEoTNNEOp2GaZoQBAHFYhGFQgHlchnlchkzMzPI5/NdrX7Udd0+Tpblrrc3tlotmKYJURT73hJpbSOZu7WEiLq3b98+NJtNeDwe7Nq1a9njn3rqKWiaBo/HgwceeADvec97EAgEcNZZZy15Xi6XQ7FYtGtLufHzWiqV7FqU/PknIqJh5/V67WRduVzuqZ68x+OxVxfOXYBgSSQSGB8fRyqVshvIWE1orN1KPp8PsizD4/HYzWQWS3y2Wq3jyk5pmmY3dfP7/b186+QSrnQcYLw7Tv0SRdF+0Prn8/mQSqWQy+Wg6zpKpRKq1SrC4TCCwWBf23tXIoZCoRACgQCKxSLq9Tqq1SoajYZ9sTE9PY1qtYpSqYR6vY5NmzbZWyKsbnZWcwa/349wOLxol1ld11Gr1SBJEnw+X9ffx9x6jv2ytlZv9FWOnIeoXw8++CAMw4Df78eePXvw/PPPLxpHuq7jkUceAQCMjo4iEongO9/5zrKvYb0xKZVK2LFjhysNZKwOnABXUwwSzkXkFGOI3DDMcWRtga5Wq8jn80ilUl3fnA+FQmi1WqjX68jlchgdHbX/DQRBwNjYGARBgCiKOHLkCDRNQy6XwwknnGAnGuc+Fqu5bv1Ot57XGt962lo9jLEDMOk40Fh4nPolyzJ27949tBMT9c7j8WBsbAy1Wg3lchntdtuuVxaNRntqpAKsXAyJooiRkREEg0EUi0Xouo5cLge/349TTjkF2WwWhw8ftuu/jI+PIxwOIxAI2Bc75XIZ4XAYjUYDPp8P4XD4uK3QmqbZK6V6WW1kFZrud2t1s9lErVaDIAgbtmu1hfMQ9evJJ58E0GkSMzo6aq/mXkihUMChQ4cgCAJe+cpXdv0a6XQajUYDsizD7/e7cpPAah4TCAQc3bggd3EuIqcYQ+SGYY+jWCxm1108NnnYzbmtVst+fzL3GlkURSSTSfh8PkQiERw8eNDuWD0xMWF3n16MYRgoFAp2cjEQCECWZZRKJciybC8GWA83A4c1PzScEU9EyxrWX2jkTDAYxNjYmL2Vud1u281ZetkOAaxsDFlbriORCARBQKPRQDqdRigUwimnnAKv1wtd1zEzMwNZlpFIJBCPx+2P1gVPuVxGNptFJpOZ9/21Wi27GHW3SUfTNB0nHa3ufkutwtxIOA9Rr/bv349cLgdBELBjxw4AS8dRNpvF0aNH4fF48KpXvarr18lms6hWq4jFYohEIo67WdZqNbRaLQiCsC5WU6w3nIvIKcYQuWHY48iqvd5rR2tr0QHQqblo7QqweDwexONxbNu2Daeeeiq8Xi9yuRyOHDliX5svpNVq2TcRrXr3IyMj9s4l6xhJktjYbQ0Nd9QTEdFxBEFAKBTC+Pi43cjAWlFoFXMeBFax6NHRUfh8PpimaW8N3759OyKRCDRNw4EDB5DL5RAOhzE2NoZ4PI54PI5YLGZvva7VasjlcnZy1WqsY9WB6YZVz9EqOt0r0zTt7nwbfWs1Ub8efvhhVKtVSJKEM888c9njX3rpJVQqFUiStGwNx7lyuRxqtRpisZjj1Q+GYdhbuiKRyLKrMoiIiIaRKIpIJBIQBAGtVsv+3dcNr9dr35SzdjstJJlM2iscC4UCMpkMqtXqccdVq1Vks1m02214PB6kUimEQqF5iwisBQmhUGjoE77DjP/yA8wwjLUeAg0pwzAwNTXFGNrgBEGwE3XWikJN0+yVgUvdOVzNGPJ4PEgmkxgZGbETpOVyGZOTkxgdHQUAzMzM4MiRIwA6NVms7ykajSIajaJer6NUKqHZbCKdTiObzULXdfj9/q6Tjk67VtdqNTQaDUiStC62cDjFeYj68cMf/hCNRgOGYSAYDC4bRw888ADa7TaCwSB2797d1WtUKhXUajU0m03EYjHHKxMrlQoMw4DH40EoFHL0XOQ+zkXkFGOI3LBe4sjj8dirFpvQMD0AACAASURBVKvV6oIJwcVYJZFM01x0paQgCEilUkgmkxAEAfV6HcViEfl8HqZpwjAMuxGcaZoIBALzakw2m02YpgmPx2N3sl4vOxCGNXZcq+moKMqFLj3VK1x6nqHXTYdWooVomoZ0Oo0tW7b0nUCh9UMURUQiEYRCIZTLZXsbYCaTgd/vRyQSOS4xtxYxFAgE4PP57LospVIJyWQSsizj6NGjSKfTEAQBmzZtgiRJiMfjCIfDKJVKEEURhmHYiQRr67XV7a4bTpvIZLNZAJ0LG6dbNdcDzkPUq+npaWSzWfui+tZbb0W5XMaVV165aBz95je/AQBs27at69dJp9OoVquIRCKOSyHoum53yozFYn017qKVxbmInGIMkRvWUxz5/X5Eo1GUSiUUi0W7y3Q3RkZGkE6noes6CoXCgjXQ53a9rtfraLfbqNfr0HUdhmGg3W7b5UyOvdlnrW60yjdZ74PWA03ThjJ23HxX9DMA3W3qJyKiVSeKImKxGMLhsJ18bDQaaDQaCAQCrtQ1c2OMIyMjyOfzaDQaKBaLiMfjME0TR48exdGjRwEAk5OTADoXJYlEAq1WC+Vy2e52ba2KrNVq9raLpRiGYd/o6eeXebvdtreYcGs1UX8efPBBHDp0CEDnzUK1WsU3v/lNTE9P49vf/vZxxxcKBbz00ksQBAGnnXZa16+Ty+VQrVYxMjLi+I2I1TzG7/cP5RsBIiKifoTDYWiahnq9jnw+j9HR0a7Ki1jX+plMBvV6HT6fb8H661bTSIu1YwsAJElCIpFYcDeTdY61hTsYDPL38xpze3u14NKDiIhWiLVKcGxszO5qXa/XMTMzg0KhgHa7vabjszo/+/1+mKZp3wWdmJgAABw5cgSHDx+ed47X60UymbS73/n9fui6jkajgUwms2wdS2urucfj6aseW6VSQavVgtfrRTgc7vl8oo3KqjebyWRw5513YmZmBsDLHaDr9TruvPNO3HDDDcedm8lkkM1mu67/CMAufl+r1ez6sP1qNptoNptsHkNERBtSPB6HLMv2luduG8scW99xsR2e8Xjc3kEgCAK8Xi+CwSBGR0cXTDha5U5qtZq9C2F8fJz1HNeYm0tavuXicxER0QqzarJYKx+tBiz1eh2SJK1p3RAr8WiteMzn8xgZGYFpmjh8+DAOHz4MQRDsRKTF5/PZD7/fD1EUkc/nYRgGYrHYovXWnNZzzOVyADpbq9lEgqg7pmkinU7bb1KeeeYZ+2cxlUrh+uuvx6233oqDBw/i3//933HllVfi+9//vn3+b37zGzSbTfj9fpx//vldvaa1ytFaaeHkJoFVxyoUCq35KnEiIqLVJggCEokE0uk0NE1DPp/vesdPOBxGq9Wyr/NTqdRxyUGr7nsul4NhGDAMA5FIZMEkolUTvlqt2tuwY7GYo5uL5A7XrpBUVb3GreeiDmbkqV+iKNoPouXIsjxvi3Kz2US9XkehUEC1WoXX612TOmULJR4TiQRM08SRI0dw6NAh6LqOyclJO9YNw8Dhw4fh8/kwMTGBZDKJUqmEQqEAoHNBEo1Gj/t+nCQdNU1DpVKBIAhIJpMOv+v1g/MQLUcQBASDQTt5Z22t9vl82LVrF9773vdiZGQEn/nMZ5DL5XDPPffgzW9+M+666y54PB7cd999ADorIaySC8vJZDJ212onW6vb7ba9hWuhbWE0ODgXkVOMIXLDeo0ja6tzNptFo9FAuVzu+vdrPB6fV99xoYSl1+tFKpWym0RmMhkkk8l5N/tM00Q+n7fr1ns8HkQiEbvT9noxrLEznKPeILrtuEp0LFmWsXv3bsYQ9WTuFuVQKISdO3ei0WhgZmZmXk2V1XTsVutcLodkMolNmzYB6HS1np6etjvVWWOVJAk7duxAMpm0t37k83lUKhX7bqml3W5D13X736BX5XLZLuxsbVcnzkPUnVgshsnJSRSLReRyOQiCgEgkghtuuAGSJGHPnj3427/9W5x44onQdR0PPfQQLrjgAhw8eBBPP/00AGD79u1dv5610jEajTpKOtZqNQCdOYOrHAcb5yJyijFEbljPceT1ehGLxQB0routrtHLsXYdWE1fFuuE7fF4kEql4PF40G63kclk7NJIQGdbdalUQrlcths6hkIh+P1+59/cABnW2OFVEtE6Nax3QmjtWduT6/U6SqWSXQPN7/cjFout+vbhY1c85nI5JBIJeDweHD58GPl8HqZpQhAEu6NdIpGA3++3V2kKgoB6vW43fUin0/ZdUuuiRZblvn5urFWUsViMP3fH4L8Hdeumm24C0Pl53717Ny6++GIAndXLl156KbZt24brrrsOzzzzDJ544gns2bPHvklw9tlnd/UarVYLxWIRrVYL8XjcUR1GK+m4WMkGGiyci8gpxhC5YT3HUTAYhK7rqFQqKBQK8Hg8XSXJrPqOxWIRxWIRsiwvuAhAkiSkUinkcjm0Wi1ks1kkEgmIooh0Oo1isYhYLIZgMAhJkiAIwrpLOg6r9Rv1RETkSCAQwNjYmF3zzFr1WKlUui4U7ZaFVjxGo1Fs3rwZfr8f+XweuVwO6XQakUgEfr/fvtDx+/1IJBIIBAIIh8MolUr29ox2u+1oa7V1cSUIAmvGEDnw4x//2P78xhtvtD8XRRFerxdnn302br/9duzatQsAMDU1hb1796LVauENb3hDV6+RTqdRqVTg8/mQSCT6WtkMdMoxtNttiKLINzRERESzotEofD6ffa3ebX34UChk7xayarEvRBRFu2mkaZrIZDKYnp5GsVi0r/et3+0+n29dba0eZq4kHRVFWfHk5Wq8xqBZyyYONNwMw8DU1BRjiPpmxZBpmohGoxgbG4PX64VpmiiVSkin0/O2NayGhRKPkiRhZGQE8XjcTk7IsoxAIDDvQsPn8yGZTEKWZUQiEZTLZbTbbeTzeUdJRyuBaXXTo5dxHqJuvfDCC3YJB1mW7VWOwPw42rp1K26//Xa8/vWvt+PqxRdf7PpnL5vNolarIRqN2tvA+mFt/zp2nqHBxLmInGIMkRs2ShyNjIzY26B76Wgdj8ft8/L5/KLHWc1rAoEAKpUKisUiBEHA2NgY4vG4fT2xHm8KDmvsuJXI268oyntdeq55FEU5QVGUfwDwP1bi+QfZYq3jiZajaZrdRYyoH8fGkFVLZWRkBKIo2isFK5XKqo7r2MRjrVaDrusQBAEnnHCCvdVxoSSEVbNSkiSEQiG7xmO5XIYgCH2tepq7tZrJh/k4D1G3br75Zvvzd77znfO+dmwcpVIp3H777diyZYt9zJ49e/Dggw8u+zq5XA61Ws3R1mrDMOw3NNxaPRw4F5FTjCFyw0aJI1EU7QYuVlmTbljX+IIgoNlsLvkeQxAEhEIhO6E5OjqKZDKJdrtt//uux6TjsMaOW0nHkwF8V1GUfYqiXKUoiuNK+oqivFpRlFsB/AbANWD9SSKiNWdtubaSeqVSya6puFqsO5zJZBJ+vx+iKMLn86HZbCIcDiOVSi3Y/Q54uQOeLMvw+/2YmZmx75D2mjQ0DAOlUglA564uEfXne9/7nv35l770pWWPDwaD2Llzp530y2azuOKKK5ZMPFo1pkzTxOjoqF02oldsIENERLQ0j8djXxvXarVFG8QcS5ZleydCqVRCvV5fcHWfaZooFAqIRqPYtm0bNm/ebDejATq7l9Zz/cxh49bV0h8BuAnAqwF8G8DfKYryPQD/BuDnqqp2ld5WFOV0AG8FcDWAM2f/WgBwH4DvujHQ2W3a9wN43exfvaiq6vY+n+v3AHyzy8NHVVXN9PM6RESDRBRFuyN0sVhEvV6Hpml2c5fVYjW8abfbqFarqNVqMAwDsiwvOQ5ZlpFMJgHAXq25WJJyKcViEYZhcGs1kQM/+tGP7OZUmzdvRiqVWvacRqOBI0eOYHJyEpOTk3jsscdQKpXwjne8A9/61rfwtre97bhz0uk0arUaIpGIo/qrVtKRP/NERESL8/v9iEajKJVKSzaIOVYwGESr1UKtVrO3WUuSBFmW7Uej0YCu63aZJct63lo9zFx5d6iq6l8rivJ/AHwOwO8BiMx+/D0ApqIovwHwKwBHAOQA5AH4ASQBJACcBuCc2fOATqIR6Kxy/LSqqi/fAnfuQ3g54UhERH0KhUKQZRm5XM7ebh2Px1f9F70kSYhGo4hEImg0GnbHuqXIsoxUKoV0Oo1SqYRKpYJKpdLT6idra3U8HufWaqI+/cmf/AmCwSBGR0fxwAMPdHVOJpNBqVSCJEn43Oc+h/vuuw9//dd/jUqlgquuugp/8zd/g6uvvnreOblcDtVqFWNjY4hEIos889KazaZdzsEqeE9EREQLC4fD0DQN9Xod+XweY2NjXV0zW6sdrcZt1sNKKlqsmu4A0G637XrzTDoOFteWpKiqehjA9Yqi/E8AHwPwfwOIo5NAfAU6icWlzI2+hwD8DYDvqarqWrVMRVG2A/ifADR0EqAnuPXcAF4FYHqxL6qq2nPhMy4Jpn6Jomg/iPrRbQx5vV6Mjo4in8+j1Wohl8shEon0/abeiV4TAR6PB+FwGOFwGLVaze58181qTW6tXh7nIeqGrusAgFNPPXXBVY4LxdEjjzwCTdMQDAZx9tln46KLLsIJJ5yAT3ziE2g0Grjxxhtx9OhRfPKTn7TPsZpfxePxvlc6zl3lyBsNw4NzETnFGCI3bNQ4isViaLVaaLfbKBaLXf0OFgTBPs4wDGiaBk3ToOu6/TEUCs1rAmklJL1er72DYr0Z1thxfR+cqqovAPiIoiifAvC7AC4D8DtYOsHXAPAogLvQSTTud3tcs74BIATgCwAuWGZMvar1k1hciizLbj4dbSCyLGP37t1DOzHR2uslhiRJQjKZRKlUQrVaRblctt/cD/ovfZ/Ph3A4bCcRfT5fV9s7S6US2u02vF4vm0ksgvMQdcPr9aLVauHrX//6gl9fKI5++ctfAuiscLBucFxzzTWYnJzEVVddhVqths9//vOo1Wr47Gc/i1wuZ6+MHBsb66sMxNwGMtxaPVw4F5FTjCFyw0aNI1EUMTIygkwmg1qtBr/f39NKRKt2+9wE47Gs5pLA+l7lOKz5oRUrvqWqahPA92cfUBQlBeAUAJsABAHoAAoAXgDwrKqq+kqNZfb1rwXwZnS2bH8BwH+u5OsRrbWN9guN3NdLDAmCgFgsZtd5bDabmJmZQTQaHdiknFWYOhqNQhRF5HI5VCoV+P3+ZbdZz+1aTYvjPETLuf3225ddfXhsHD311FMAgK1bt877+z179uCOO+7AO97xDpRKJfzVX/0VyuUyrr/+etRqNcRisb5/Zmu1GkzTtOtJ0XDhXEROMYbIDRs1jrxeL8LhsN3UbXR01NWFCZVKBZqmQRRF3hgcQKtW8X+2icqaNFJRFGUTgK8AMAFcr6pqU1GUtRgKEdG6FgwG4fV6USgU0Gq17EYz8Xh84Dq9ttttAJ2O3D6fD5qmoVQqwev1wufzLZpYME0TxWKnPxq3VhM5s3379p6Ot5rIAJ0t2cd67Wtfi7vvvhuXXnopstksvva1r2H//v14+9vfjtHRUUSj0b7GyQYyRERE/YtEImg2m9A0DYVCwW7q6JSmaSiXywA6iwE2amJ3kG2U/5GvoVNf8h9VVb1vJV9IUZTlWzJ1aaH28ETdMAwDU1NTjCHqm5MY8ng8SKVSiMViEAQBrVYL6XQalYqrFSgcs2rJWY1oQqEQJElCtVpFoVCAaZoLnlcsFrm1uguch8gNx8bR3CYyr3nNaxY8Z+fOndi7dy/Gx8fRbrdxzz334Gtf+xoSiURPzaIsrVbLbiDDpOPw4VxETjGGyA0bPY4EQcDIyAgEQUCz2US1WnX8nKZp2h2uA4HAum/yNqyxs+6TjoqivAfA5QCOAvjkMoc78QNFUeoAmoqi1BVFeVRRlL+YXWXZF03TXBwebSSapiGdTjOGqG9uxFAoFMLY2Bh8Ph9M00SpVBqouLRWOkqSBFEUEY1GEYvFUKvV0Gg07Lumx7K2VkejUTaTWALnIXLDsXH0i1/8ApqmwePx4A1veMOi56VSKTz11FOYnJyEaZrYv38/PvrRj/Y1BmuVYyAQ4M/8EOJcRE4xhsgNjKPOwgRrx0GpVLIXAPTLeg5JkjZEyaNhjZ11nXRUFCUJ4G9n//gRVVXzK/hyZwKwqpb6AewC8CcAnlEU5V0r+LpERAPLajITj8chiqJ9wVUulxddSbharAsda9t3MBhEIBBAOBxGqVRCpVKxO1Rb2LWaaG09/PDDADo/f1YTmcUEg0Hcdddd2LSpc//38ccfx+7du3t6PcMwUK/X7ecjIiKi/lldp61Viv2+H5i7WtJ6n0GDaUULbCmK8md9nGai0826COAZAL9SVbXftbdfBTAK4Eeqqv5rn8+xlDqA7wD4AYCnARxAZ/ynArgKwI0AIgD+j6IoBVVV7+3lyT/1qU/NK7Bq3V2/9dZbAXQy3ccusZVled4PHI/ZmMfoug7DMNBsNgdiPDxm+I5pNpvzYsjpa1l3IKvVKlqtFsrlMur1OoLB4HG1E1fre6/VajAMY948GwwG7YRoqVRCs9lEu922E4zlchmNRgOSJMHj8bj277Mej5kbQ4MwHh4znMc0m815b0ieffZZmKaJLVu2dPU7LpPJ4I//+I/x1a9+FdPT0/j1r3+Nz3zmM/j85z/f1XhKpRIajQY8Hg9M02Q8D+Exx/55rcfDY4bvmLkGYTw8ZniPOfb92VqPZ62OCQQCqFQqMAwDlUrFvonY7fPouo50Oo12u41QKLRhfk51XV+yi/egWumq/jehk4Rzoqkoym0A/lRV1YPdnqQoyqXoJP4qAD7ocAwLmk1kLpTM3Atgr6IoP0SnS7YPwK2Kopyuqmq72+dvtVrztvFIkgSvt1My0jAM7N2797jAHB0dxUknncRjNvgxTzzxBIrFIp588kl7ohr0MfOYwTpG1/V5MeTma23evNluNPPLX/7Sro242rGay+UQj8cxNjZmH/PEE0+gXC6jVqtB0zS7PuXpp5+OeDyOXC6H/fv3IxaLzdvisNb/X4N4jGEYdgyNj4+v+Xh4zHAeYxgGGo0GgE5pg6NHj6LRaCAcDmPv3r3LPs9jjz2GqakpfPCDH8SPfvQjPPfcc7jsssu6Hs/DDz+MVquFcDiMgwcPDty/D49Z/pi5q9IHYTw8ZviO2bJli33Mvn371nw8PGZ4jymVSvPen631eNbymEajAa/Xi+3bt8Pn88Hj8XT9PIVCAc1mE5IkYWRkBOVyeWC+r5U85oknnsBrX/taDBthJbe3KYpiLH9UV0wAeQB7VFV9pIvXjQJ4CsAWAB9VVfWrCxzzMwAXAXhRVdXtLo1zobF8BcAnZv94vqqqDy1zfAidRCn+8R//cd7WoUHPvPOYwTmmVqth3759ePWrX23f+Rn0MfOYwTqm2WziiSeesGPI7dcyDAPlchmFQgGGYUAUOzUVrZWPq/G9Hzp0CLIsY9OmTfZqR03T0G63kU6noes6ms0mWq0WZFlGKBSyu3Hv2LFjXhfctf7/GsRjNE2zYygYDK75eHjMcB6jaRqeeuopnH322Xjuuefwrne9C7qu47Of/Sze+c53Lvk8mqbhjjvuwMGDB3Huuefi/PPP72k8mqbh0KFDME0T4+Pj9t8P0r8Pj1n+GADYt28fdu3aBVmW13w8PGb4jmm329i7dy927doF4PjVs4M4Zh4zeMdomoZHHnkEZ5xxxryVeYM85pU+plqt2juIxsbG7N16Sz1PqVRCNpsF0Knf7PV6B+77Wsn3+MFgcOiKS6/0SscdAKIA/jeA8wE8CeBbAH6BTmMXABgHcA6A9wN4NYAH0VmZKM3++WoAbwSQAPDviqKcoqpqfZnXvQmdhOMv8XJNx7XyA7ycdDwbwJJJx7nC4fCSy2fnTlY8hsfMFQwGcd55582bpNZyPDxm+I6RZXnJGHL6WqIoIhaLIRAIoFAoQNd11Ot1GIaBWCw273VX4ntvt9vw+XwQBGHe9mrrex8fH0cul4PP50O9XreTjUDn5yuRSMw7z+l41uMxPp9v0Rga1DHzmME7xufz4ZxzzoEoinj66afRbDYRCARw4YUXLnuNVC6X7a1XExMTx8XicuOpVquQZXnZjpiD/m/IY4Ddu3fPSxqv9Xh4zHAdI4rivBha6/HwmOE8RpZlnHvuucvG0SCNeaWPkWXZ3iZdLBYRj8eXfI52u41arQafz4dIJLJobee1/r5W6phhrS290knHlwD8DMBrAXwOwJ+rqnrs0srfALhfUZT/BeAz6CQM/xbA76iquhfAtxVF+SMAXwKwCcAHsHwi8cTZj+cAaCuKstSx2xRFscZ0n6qqFy//bfXk6JzPl/4pInJRtxdGRItZjRjyer0YHR1FtVpFuVxGs9lEOp1GOBxGOBxesU6xVhOZxRKHXq8X4+PjaLfb0DQN0WjUXv2YTCaXTDjSyzgPkRusOPr5z38OoNM5fnJyctnzisUims0mgsEgQqFQT69pmiYbyKwjnIvIKcYQuYFxNJ8oihgZGUEmk0GtVoPf74ff71/wWNM0USwWYRgGZFlGOBxe5dFSv1Y66XgdgNcD+HdVVT+31IGzycg/VxRlFwBl9tyvz37tK4qi7AHwJgCXYe1XL/Zi05zPV7J7NhHRUBIEAeFw2F712Gw27UYz8XjcrmXrpna7U153qeShIAjweDzweDwIBAKIxWJ2bTciWl2NRgPPPfccAGDr1q1dnWM1fhofH+85cdhoNGCaJjwez1AWbSciIhoGXq8X4XAYlUoFhUIBo6OjEATBLpOiaZ3GMbquwzRNCIKAkZGRFVuYQO5b6VT7f0OnHuM3ezjnmwCE2XPn+u7sxzO6eI6PAdi1zMOqDXl4zt99oIdxduuKOZ8/2suJC9WkIeqGYRiYmppiDFHf1iKGJElCMpnEyMgIRFGEruvIZDKoVCquv5a10tHj6f7em3VRRN3hPERusOLooYceQjqdhiRJdlH15RQKBbTbbQQCgZ6TjlZ30cVWXNDw4FxETjGGyA2Mo8VFIhHIsgzDMDAzM4MjR44gm82iVCqhXq9D0zSYpglRFBGPx3u6fl9PhjV2Vvp/69TZj9M9nGMde9oxf//07McRLENV1eeXO0ZRFOtdbEtV1ce6H559fgSAqKpqcYlj3oKXO2fvR6fGZNc0TVv+IKIFaJqGdDqNLVu2cIUG9WUtYygQCMDn86FUKqFWq6FUKsEwjHmNW5zqZqUjOcN5iNygaRoeffRRVKtVu3B8t6zjR0ZGen6DYiUdGbvDj3MROcUYIjcwjhZnrV5Mp9OwGh17PB7Ismx/lGV5w1+3a5o2lLGz0klHa0nIeA/nWMceu5ykOfux5WhEPVAU5QUA27Bwh+uTANynKMq/ArgLwBMAsug0wDkNwP8F4IbZP2sAPqiq6nCmpomIVtncO5mlUgmVSgXtdhvxeNyV7RT9rHQkorVRLpfRarXsROCdd96JM888E1deeeWi51QqFbsm48TERE+vp+s62u02BEFYkfIORERENJ/H48HY2BgMw4DH4+H26XVkNRrJnATgPQD+s8tz3jPn3LlGZz9mXBiXW6Lo1J68bolj0gCuUVX1p6szJCKi9SMcDkMURRQKBdTrdZim6UodF650JBoe1WoVTzzxhP3nUqmEL3/5ywCwaOKxWCyi0WggFAot2Xl6IVZyU5ZlvukhIiJaJZIk8dp8HVrpmo53oVOf8WpFUa5e7mBFUf4bgPejUwfyzmO+vHv24wFXR9i/Z9GpAfkP6NRqPAiggc6KzEPofO8fAXCKqqo/WqtBEhENu2AwiEQiAUEQ0Gg0kM1mHdU0MU3TPp8rHYkGXzabxf333w+gU1t1bGwMuVwOX/ziF/Hd7353wXNKpRIajQaCwWDPtVhbrc6mmmHcwkREREQ0SFb63daXAFwDIAjgm4qivBvAPwH4BYCZ2WPGAJwD4PcAvB2dJGVl9ty5rkQnGenKikFVVS/u4pjtS3ytAuD/m32sCFFc6ZwwrVeiKNoPon4MWgz5/X4kk0nkcjm0Wi1kMhkkk8m+7oZaW6tFUeQqphU0aDFEw0kURRSLRei6Do/Hg1e84hW47rrr8Jd/+Zc4dOgQvvKVr6Ber+MDH5jfCzCbzcI0TUQikZ6bwbCe4/rCuYicYgyRGxhH5NSwxs6KjlpV1ZcAvBudOowCgLcB+FcAzwOozj6eB3AbXk44NgG8W1XVg9bzKIpyMgAdnWTlD1dyzINEluW1HgINKVmWsXv3bsYQ9W0QY8jr9dqJRquztZVA7AW3Vq+OQYwhGj7NZhMvvfSSXV/xwx/+MPbs2YMvf/nLmJycRLVaxS233IJ/+Id/mHfezEzn3nYikejpIl3TNBiGwXqO6wjnInKKMURuYByRU8MaOyu+r0xV1TsVRXktgP8N4LxlDn8IwB+oqvr4Mc/xLIDXrtAQidalYb0TQoNjEGNIlmWkUilks1k78ZhMJnv6JcwmMqtnEGOIhkuhUMC+ffsAdG48XHTRRQCAc845BzfffDM+/vGPY3p6GjfffDMajQY+9KEPodVqoVqtAui9iQxXOa5PnIvIKcYQuYFxRBvRqrzjUlV1H4DzFUXZBeCtAHYCSMx+OQfgcQB3q6q6dzXGQ0REw0uSJDvxqGkaMpkMEolE10kCrnQkGh6/+MUv7M/f8pa3zPvazp07ceutt+LGG2/E888/j69//euoVCq49tpr0Wg04PP5EIlEeno9Jh2JiIiI3COYprnWY6A5FEUJoVPTEv/yL/+CYDC4xiOiYWQYBp5//nns2LGDd9SoL8MQQ6ZpIpfLodlsQhCErhOP2WwWzWYT8Xicc+wKGoYYosF34YUXYnp6Gl6vF4888siCScRnn30WN954I5599lnIsoxLLrkEJ554IhKJBK688squt0mbpokjR47ANE2MYsdt/wAAIABJREFUjY1xNfQ6wbmInGIMkRsYR+SUYRgQRXHoCtIz2geYpmlrPQQaUpqmIZ1OM4aob8MQQ1ai0e/3wzRNFAoFdHMjjSsdV8cwxBANvkOHDkHXdYiiuOiqxZNPPhl///d/j9NOOw2apuHf/u3f8MMf/hDRaLSnuoytVgumaUKSJCYc1xHOReQUY4jcwDgip4Y1dph0JCKioSUIAkZGRiBJEtrtNkql0rLnWElHJhWIBtt3v/td+/Orr756yWO3bNmCb3zjG9i5cyd0XcfevXvxz//8zz29nrW1mg1kiIiIiNyxau+4ZrcNX4NOTcczASRnv5QFsA/AnQC+papqbbXGREREw08QBMTjcWSzWVSrVQQCgUWTBu12214NyZWORIPtlltusT+/8sorlz1+YmICX//61/H2t78dzz33HB588EF85CMfwVe/+tWuXq/VagFgPUciIiIit6zKSkdFUd4B4AUAXwVwKYATAARnHyfM/t0tAF5UFOXy1RgTERGtHz6fD4FAAABQLBYX3WbNrdVEw6FcLtufj42NYcuWLV2dJwgC3ve+92Hbtm2QJAl33XUX/vt//+/LnmcYBpOORERERC5b8aSjoijvA/A9dLpVC7OPQwAemX0cnPP3SQDfVxTlvSs9rmHAArPUL1EU7QdRP4YxhmKxGERRhKZpqFarCx6j6zoAbq1eDcMYQzQ4/uzP/gwejwehUAg33HBD11ueS6USPB4P/uAP/gCve93rYJom7r33Xlx33XVLnmclHD0eD29KrDOci8gpxhC5gXFETg1r7Kxo92pFUSYATAEIANAA/C8Af6eq6vQxx50A4IMAPgbAC6AG4GRVVY+s2OAG1Nzu1bfddhv8fv8aj4iG1Wx3q7UeBg2xYYyhWq2GQqEAQRAwOjp6XHKxWCyiWq0iGAwiHo+v0Sg3jmGMIRoMF1xwgf35fffd13Uc/epXv8LDDz+MzZs345JLLsHHP/5x3HvvvRAEAeeddx6+/e1vL3ieNTeEQiHEYjFXvgcaHJyLyCnGELmBcUQuYPfqY3wYnYRjC8Alqqr+j2MTjgCgquoBVVX/HwCXoJOcDABYfi8MES2Kv9DIqWGMoWAwCJ/PB9M0USwW533NMAzUap2ywdZWbFpZwxhDtPbmbq1+z3ve01McZTIZAEAymYTf78fNN9+MSy+9FKZp4qGHHsK73/3uBc+zmshwa/X6xLmInGIMkRsYR7QRrXTU7wFgAviaqqo/Xe5gVVV/BuDv0Mnevm1lh0ZEROtRLBaDIAhoNpt2khEAKpUKTNOE1+tlYoFowMViMcRiMXzoQx/q6bxsNgsAGB0dBdDZLv3lL38Zl1/eKRn+2GOP4V3vete8xGa73bZLL7BzNREREZF7VjrpuGP2o9rDOdaxO5Y8agMwDGOth0BDyjAMTE1NMYaob8McQx6PB5FIBECnvpthGDAMw67zaH2NVtYwxxCtrUgkgjvuuAN33HFHT3FUqVRQr9cBAKlUyv57K/H4vve9D5Ik4fHHH8d73/teO/ForXL0er1chbIOcS4ipxhD5AbGETk1rLGz0ldWodmPhR7OsfbDhZY8agPQNG2th0BDStM0pNNpxhD1bdhjKBQKQZZlGIaBYrFor3KUZZmrHFfJsMcQDYZe4qhYLKLVaiEQCCAYDB739ZtuuglXXXUVJEnCb3/7W7z73e9GuVzm1up1jnMROcUYIjcwjsipYY2dlU46Zmc/ntrDOScfcy4REVFPBEGwG8XU63WuciTaALLZLEzTRDgcXrQR36c//Wlcf/31kCQJU1NTuOKKK3D06FEA3FpNRERE5LaVTjruRac+4x/0cM4H0akDuXdFRkRERBuCLMsIhTqL5q1VjoslIoho+KXTaQCdJjJLbZP+2Mc+hj/6oz+CJEl44YUXcPXVV6NYLDLpSEREROSylU46fn/244WKovydoijyYgcqiiIrivJ3AC6c/avvrfDYiIhonYtGo5AkCQBXORKtdzMzMwCAiYmJZY+99tpr8alPfQqiKCKTyeD9738/Dhw4sNJDJCIiItpQPCv8/N8G8HEArwJwA4C3KoryTQAPAjgye8wEgNcBuAYvN495cvbcDY3FzKlfoijaD6J+rJcYEgQBqVQKuq6zXtsqWy8xRGur2ziqVCpoNBoAXu5cvZxrrrkGkiThL/7iL5DL5fClL30Jt9xyi+Mx02DhXEROMYbIDYwjcmpYY0cwTXNFX0BRlB0A7gOwBZ1t00uOB8ABABeqqvriig5sQCmKEgJQAYDbbruNWwGpb4ZhDO3ERIOBMUROMYbIDd3E0fT0NP7jP/4Dfr8fV1xxBaLR6LLPa5omjhw5gjvvvBM/+MEPcO211+Lyyy93a9g0QDgXkVOMIXID44hcIKz1AHq14hGvqurzAM4E8E8ANHT+kRZ6aAD+EcBZGzXhSOQm/kIjpxhD5BRjiNzQTRzl83m0221EIpEFO1cvRNd1mKaJt73tbVBVlQnHdYxzETnFGCI3MI5oI1rp7dUAAFVV8wB+X1GUPwZwMYCdAJKzX84CeBzAT1VVzSiK4lEUJTp7Xmk1xkdEREREw8uq5xiPx+HxdHd5q+s6gE7TKSIiIiJy36okHS2qqqYB/NvsYzFXobPi0cQqj2/QGIax1kOgIWUYBp5//nns2LGDd9SoL4whcooxRG7oJo7a7Tay2SwAYHx8vOvn1jQNAJOO6x3nInKKMURuYByRU8O6PX9QR2xtud7QrIthol5pmoZ0Os0Yor4xhsgpxhC5oZs4KhaLaLVakCQJiUSip+cGmHRc7zgXkVOMIXID44icGtbYGdSkIxERERHRsorFIprNJsLhcNf1HIGXL9673Y5NRERERL1h0pGIiIiIhtL09DSmp6ehaRpCoVDXSUfDMOwyNlzpSERERLQyeGuXiIiIiIZOOp3G008/jXq9DtM0EYlE4PV6uzp37ipHQdjwFX2IiIiIVgRXOg6wYSwSSoNBFEX7QdQPxhA5xRgiNywVR/V6HUAn+QgAzWYTuVyuq+dlPceNg3MROcUYIjcwjsipYY0drnQcYLwQpn7Jsozdu3cP7cREa48xRE4xhsgNS8VRo9EAALRaLQDACy+8AAA4//zzl20ow3qOGwfnInKKMURuYByRU8OaH2LEE61T/IVGTjGGyCnGELlhsThqtVpoNpv2nwVBwAsvvIAHHnhg2RWPXOm4sXAuIqcYQ+QGxhFtRIx6IiIiIho6zWYTMzMzAICtW7fiwgsvRDQaxfT0NO6//35kMpkFzzNNE7quA2DSkYiIiGglMek4wKyuikS9MgwDU1NTjCHqG2OInGIMkRuWiiNN0+yVjtFoFGeccQbOO+88RKNRvPTSS4smHq2EoyiKkCRpZb8BWnOci8gpxhC5gXFETg1r7LhWyEZRlJ+49FQTLj3P0LO2/hD1StM0pNNpbNmyBT6fb62HQ0OIMUROMYbIDUvF0dGjR+3Pd+7cCQA49dRTIUkSHnzwQRw6dAg/+clP8MY3vhGpVGrecwKs57hRcC4ipxhD5AbGETmladpQxo6bV1sXAzBdfD4iIiIiogUdPnwYACBJEkZGRuy/P+mkkyCKIv7rv/4L6XQa9957L9785jfbiUdurSYiIiJaHW5vrxZcehARERERLajdbqPdbgMAxsbGjvv6jh07cNFFFyEajSKbzeKee+6xV0ayiQwRERHR6nBzpeMOF5+LiIiIiGhBc7dWv+pVr1rwmK1bt+Itb3kLfvzjHyOXy+Gee+7BW97yFphmZ2MOk45EREREK8u1pKOqqi+69VzUIYrs80P9EUXRfhD1gzFETjGGyA2LxdH+/fvtzzdv3rzo+RMTE3jrW9+Ku+++G4VCAXfeeSfOPPNMjI+Ps6bjBsG5iJxiDJEbGEfk1LDGjmDd7aXBoChKCEAFAG677Tb4/f41HhENK8MwhnZiosHAGCKnGEPkhoXi6Pbbb8ehQ4fg8/nwgQ98YNnnyOVyuOuuu3D06FGYpok3vvGNOOuss1ZqyDRgOBeRU4whcgPjiFwwdOUIGfFE6xR/oZFTjCFyijFEbjg2jjKZDIrFIoDOSsZuJBIJXHrppRgZGUG9Xsf999+Pl156yfWx0mDiXEROMYbIDYwj2ogY9UREREQ0NKanpzE5OQkAOPXUU7s+LxaL4eKLL0YikUCr1cJdd92FF19kdSAiIiKilcKk4wAzDGOth0BDyjAMTE1NMYaob4whcooxRG5YLI5SqRT27NnTU9IRAILBIN70pjdhYmICzWYT//mf/4nnnnvOzSHTgOFcRE4xhsgNjCNyalhjh0nHAaZp2loPgYaUpmlIp9OMIeobY4icYgyRG46NoyNHjthf2759e0/PZZomdF1HOBzG5ZdfjomJCWiahnvvvZeJx3WMcxE5xRgiNzCOyKlhjR0mHYmIiIhoKMxNOvbafVrXdQCdmlrhcBiXXXaZnXi8++678dvf/tbVsRIRERFtdEw6EhEREdFQmJychCiKOPHEE3s+11ohIMsyAMDr9eKyyy7D5OQk2u027r77bvz61792dbxEREREGxmTjkREREQ0FMbGxnDWWWchHo/3fK6VdJy7QtLr9UJRFGzduhUA8NOf/hRPPvmkO4MlIiIi2uCYdBxgosj/HuqPKIr2g6gfjCFyijFEbnAzjqzt1dZKR4skSXj7299u14i877778Pjjjzt+PRoMnIvIKcYQuYFxRE4Na+wIpmmu9RhoDkVRQgAqAHDbbbfB7/ev8YhoWBmGMbQTEw0GxhA5xRgiN7gVR0eOHIFhGBgdHT0u8QgA7XYb99xzD6ampgAAr3vd67Br1y7Hr0trj3MROcUYIjcwjsgFwloPoFeMeKJ1ir/QyCnGEDnFGCI3uBFH7XYbhmEAWLwBjSRJuOSSS3DyyScDAB588EH86le/cvzatPY4F5FTjCFyA+OINiJGPRERERGta3ObyAjC0osE9uzZg9NPPx0A8PDDD+Ohhx5a8fERERERrUdMOg4w6448Ua8Mw8DU1BRjiPrGGCKnGEPkBrfiqNVqATi+nuNifud3fgdnnHEGAOCRRx7B9PS0o9entcO5iJxiDJEbGEfk1LDGDpOOA8y6K0/UK03TkE6nGUPUN8YQOcUYIje4FUdzVzp266KLLsI555yDVCqFWCzm6PVp7XAuIqcYQ+QGxhE5Nayxs3BRGyIiIiKidcK6UPd6vT2dd+655+Lcc89diSERERERrXtc6UhERERE65au6zAMA4IgLNpEhoiIiIjcx6QjEREREa1bvTSRISIiIiL3MOk4wESR/z3UH1EU7QdRPxhD5BRjiNzgRhz1U8+R1g/OReQUY4jcwDgip4Y1dgTTNNd6DDSHoighABUAuO222+D3+9d4RDSsDMMY2omJBgNjiJxiDJEbnMZRJpNBq9VCPB5HMBh0cWQ0LDgXkVOMIXID44hcMHRbNhjxROsUf6GRU4whcooxRG5wGkf9NpGh9YNzETnFGCI3MI5oI2LUExEREdG6pOs6TNNkExkiIiKiNcCk4wAzDGOth0BDyjAMTE1NMYaob4whcooxRG7oN45qtRoOHz6MfD4PgPUcNzLOReQUY4jcwDgip4Y1dph0HGDWdiCiXmmahnQ6zRiivjGGyCnGELmh3zhqNpswTZNbq4lzETnGGCI3MI7IqWGNHSYdiYiIiGhdObZRYqPRWKOREBEREW1cTDoSERER0bpybNJR13WUSqU1Gg0RERHRxsSkIxERERGtK8cmHQGgUqkw8UhERES0iph0HGCiyP8e6o8oivaDqB+MIXKKMURu6DeO5iYdfT4fYrEYgE7isVgsujpGGmyci8gpxhC5gXFETg1r7AgL3QmmtaMoSghABQBuu+02+P3+NR4RDSvDMIZ2YqLBwBgipxhD5IZ+4mhmZga6rgMAwuEwotEoarUaCoUCACAYDCIej7s+VhpMnIvIKcYQuYFxRC4Q1noAvWLEE61T/IVGTjGGyCnGELmhnziae1Pd6lw9N9E4NwFJ6x/nInKKMURuYBzRRsSoJyIiIqJ1ZW7SUZZl+/NgMIiRkREAncRjPp9f9bERERERbRRMOg4wwzDWegg0pAzDwNTUFGOI+sYYIqcYQ+SGfuPIOl4URUiSNO9rgUAAiUQCAFCv15HP5xdsPEPrA+cicooxRG5gHJFTwxo7TDoOME3T1noINKQ0TUM6nWYMUd8YQ+QUY4jc0E8cLbS1+lh+vx+JRAKCIDDxuM5xLiKnGEPkBsYROTWsscOkIxERERGtG4ttrT7W3MRjo9Fg4pGIiIjIZUw6EhEREdG60W3SEQB8Pt+8xGMul2PikYiIiMglTDoSERER0brRzfbquXw+H5LJJARBQLPZZOLx/2fv/mNtS8/Drj973bkzmzk4bjJjh4JxrJgmbYnV2pTGRYREVaCCitUfUoSSEJE0hUqBBgLCICRAQqhQ1CJK4yIVYZKaFmWTirAhtKWVTCgClNYdm7Gh0G6om4o02jNpY586c2fdeRd/3DunZyYez5z1POO13nM+H2lpzpn73n0ee3+11swz594LAFDE0nHDhsHbwzLDMFxdsISGyNIQFZZ09OrZ+/fvv+Wf9+STT75m8fjiiy9aPN4S7kVkaYgKOiKr13Z2/oFqW8ZxvIiIy4iIw+EQ+/1+5YnoVWut2xsT26AhsjREhSUdPXz4cNG/3L388svx8z//89FaiyeffDK+5mu+RsO3gHsRWRqigo4osFt7gJtSPNxSHmhkaYgsDVFhSUdPPPHEop/36nc8DsMQL7/8crz44ovRWrvx67At7kVkaYgKOuIuUj0AADx2//79q8XjNE0WjwAAC1k6bph/wGWp1lqcTicNsZiGyNIQFdbq6P79+/Hss89eLR5feOEFLXfKvYgsDVFBR2T12o6l44ZN07T2CHRqmqY4n88aYjENkaUhKqzZ0RNPPBHPPvts3Lt3Lx4+fBgvvPBCvPLKK1/xOchxLyJLQ1TQEVm9tmPpCAAAX8ITTzwRzzzzzNXi8cUXX7R4BAB4iywdAQDgDfiORwCAZSwdAQDgy7h37148++yz8cQTT8Qrr7wSL7zwQjx8+HDtsQAANs3SccOGwdvDMsMwXF2whIbI0hAVttTRvXv34plnnrlaPL744osWjx3YUkP0SUNU0BFZvbazm+d57Rm4ZhzHi4i4jIg4HA6x3+9Xnohetda6vTGxDRoiS0NU2FpHrbWr73QchuHqOyDZrq01RH80RAUdUWC39gA3pXi4pTzQyNIQWRqiwtY6enXReP/+/Witxec///m1R+JNbK0h+qMhKuiIu8h/lgUAgBsYhiGeeeaZ+MIXvhBPPfXU2uMAAGySVfuGtdbWHoFOtdbidDppiMU0RJaGqLDljoZhiHe+851+K5yN23JD9EFDVNARWb22Y+m4YdM0rT0CnZqmKc7ns4ZYTENkaYgKOiJLQ2RpiAo6IqvXdiwdAQAAAIBSlo4AAAAAQClLRwAAAACglKXjhg2Dt4dlhmG4umAJDZGlISroiCwNkaUhKuiIrF7b2c3zvPYMXDOO40VEXEZEHA4HfyIii7XWur0xsQ0aIktDVNARWRoiS0NU0BEFdmsPcFOKh1vKA40sDZGlISroiCwNkaUhKuiIu0j1AAAAAEApS8cNa62tPQKdaq3F6XTSEItpiCwNUUFHZGmILA1RQUdk9dqOpeOGTdO09gh0apqmOJ/PGmIxDZGlISroiCwNkaUhKuiIrF7bsXQEAAAAAEpZOgIAAAAApSwdAQAAAIBSlo4bNgzeHpYZhuHqgiU0RJaGqKAjsjREloaooCOyem1nN8/z2jNwzTiOFxFxGRFxOBxiv9+vPBG9aq11e2NiGzREloaooCOyNESWhqigIwrs1h7gphQPt5QHGlkaIktDVNARWRoiS0NU0BF3keoBAAAAgFKWjhvWWlt7BDrVWovT6aQhFtMQWRqigo7I0hBZGqKCjsjqtR1Lxw2bpmntEejUNE1xPp81xGIaIktDVNARWRoiS0NU0BFZvbZj6QgAAAAAlLJ0BAAAAABKWToCAAAAAKUsHTdsGLw9LDMMw9UFS2iILA1RQUdkaYgsDVFBR2T12s5unue1Z+CacRwvIuIyIuJwOMR+v195InrVWuv2xsQ2aIgsDVFBR2RpiCwNUUFHFNitPcBNKR5uKQ80sjREloaooCOyNESWhqigI+4i1QMAAAAApSwdN6y1tvYIdKq1FqfTSUMspiGyNEQFHZGlIbI0RAUdkdVrO5aOGzZN09oj0KlpmuJ8PmuIxTREloaooCOyNESWhqigI7J6bcfSEQAAAAAoZekIAAAAAJSydAQAAAAASlk6btgweHtYZhiGqwuW0BBZGqKCjsjSEFkaooKOyOq1nd08z2vPwDXjOF5ExGVExOFwiP1+v/JE9Kq11u2NiW3QEFkaooKOyNIQWRqigo4osFt7gJtSPNxSHmhkaYgsDVFBR2RpiCwNUUFH3EWqBwAAAABKWTpuWGtt7RHoVGstTqeThlhMQ2RpiAo6IktDZGmICjoiq9d2LB03bJqmtUegU9M0xfl81hCLaYgsDVFBR2RpiCwNUUFHZPXajqUjAAAAAFDK0hEAAAAAKGXpCAAAAACUsnTcsGHw9rDMMAxXFyyhIbI0RAUdkaUhsjREBR2R1Ws7u3me156Ba8ZxvIiIy4iIw+EQ+/1+5YnoVWut2xsT26AhsjREBR2RpSGyNEQFHVFgt/YAN6V4uKU80MjSEFkaooKOyNIQWRqigo64i1QPAAAAAJSydNyw1traI9Cp1lqcTicNsZiGyNIQFXRElobI0hAVdERWr+1YOm7YNE1rj0CnpmmK8/msIRbTEFkaooKOyNIQWRqigo7I6rUdS0cAAAAAoJSlIwAAAABQytIRAAAAAChl6bhhw+DtYZlhGK4uWEJDZGmICjoiS0NkaYgKOiKr13Z28zyvPQPXjON4ERGXERGHwyH2+/3KE9Gr1lq3Nya2QUNkaYgKOiJLQ2RpiAo6osBu7QFuSvFwS3mgkaUhsjREBR2RpSGyNEQFHXEXqR4AAAAAKGXpuGGttbVHoFOttTidThpiMQ2RpSEq6IgsDZGlISroiKxe27F03LBpmtYegU5N0xTn81lDLKYhsjREBR2RpSGyNEQFHZHVazuWjgAAAABAKUtHAAAAAKCUpSMAAAAAUMrSccOGwdvDMsMwXF2whIbI0hAVdESWhsjSEBV0RFav7ezmeV57Bq4Zx/EiIi4jIg6HQ+z3+5UnolettW5vTGyDhsjSEBV0RJaGyNIQFXREgd3aA9yU4uGW8kAjS0NkaYgKOiJLQ2RpiAo64i5SPQAAAABQytJxw1pra49Ap1prcTqdNMRiGiJLQ1TQEVkaIktDVNARWb22Y+m4YdM0rT0CnZqmKc7ns4ZYTENkaYgKOiJLQ2RpiAo6IqvXdiwdAQAAAIBSlo4AAAAAQClLRwAAAACglKXjhg2Dt4dlhmG4umAJDZGlISroiCwNkaUhKuiIrF7b2c3zvPYMXDOO40VEXEZEHA6H2O/3K09Er1pr3d6Y2AYNkaUhKuiILA2RpSEq6IgCu7UHuCnFwy3lgUaWhsjSEBV0RJaGyNIQFXTEXaR6AAAAAKCUpeOGtdbWHoFOtdbidDppiMU0RJaGqKAjsjREloaooCOyem3H0nHDpmlaewQ6NU1TnM9nDbGYhsjSEBV0RJaGyNIQFXREVq/tWDoCAAAAAKUsHQEAAACAUpaOAAAAAEApS8cNGwZvD8sMw3B1wRIaIktDVNARWRoiS0NU0BFZvbazm+d57Rm4ZhzHi4i4jIg4HA6x3+9Xnohetda6vTGxDRoiS0NU0BFZGiJLQ1TQEQV2aw9wU4qHW8oDjSwNkaUhKuiILA2RpSEq6Ii7SPUAAAAAQClLxw1rra09Ap1qrcXpdNIQi2mILA1RQUdkaYgsDVFBR2T12o6l44ZN07T2CHRqmqY4n88aYjENkaUhKuiILA2RpSEq6IisXtuxdAQAAAAASlk6AgAAAAClLB0BAAAAgFKWjhs2DN4elhmG4eqCJTREloaooCOyNESWhqigI7J6bWc3z/PaM3DNOI4XEXEZEXE4HGK/3688Eb1qrXV7Y2IbNESWhqigI7I0RJaGqKAjCuzWHuCmFA+3lAcaWRoiS0NU0BFZGiJLQ1TQEXeR6gEAAACAUpaOG9ZaW3sEOtVai9PppCEW0xBZGqKCjsjSEFkaooKOyOq1HUvHDZumae0R6NQ0TXE+nzXEYhoiS0NU0BFZGiJLQ1TQEVm9tmPpCAAAAACUsnQEAAAAAEpZOgIAAAAApSwdN2wYvD0sMwzD1QVLaIgsDVFBR2RpiCwNUUFHZPXazm6e57Vn4JpxHC8i4jIi4nA4xH6/X3kietVa6/bGxDZoiCwNUUFHZGmILA1RQUcU2K09wE0pHm4pDzSyNESWhqigI7I0RJaGqKAj7iLVAwAAAAClLB03rLW29gh0qrUWp9NJQyymIbI0RAUdkaUhsjREBR2R1Ws7lo4bNk3T2iPQqWma4nw+a4jFNESWhqigI7I0RJaGqKAjsnptx9IRAAAAACj1xNoDfKWN4zhExJ+NiH/o8d/63PF4fF/yNXcR8T0R8c9ExAci4qsi4mcj4hMR8R8fj8dPZV4fAAAAAHpyF7/T8V+Iv71wTBvH8emI+B8i4kcj4jdGxLsi4qmIeF9EfF9E/PQ4jj9Q9fUAAAAAYOvu1NJxHMf3RcTviYgpIn6m6GV/JCK+/fHHfywifm1EvPvx3/vzEXE/In54HMfffNMXHoY79fZQaBiGqwuW0BBZGqKCjsjSEFkaooKOyOq1nd08z2vP8BUzjuOfjkfLwH83Ir4lIr41Er+8ehzHb4tHv4Q6IuKPHY/H737dj19ExKci4u+LiL8UEb/6eDw+fJPXvIiIy4iIw+EQ+/1+yWjxHhgSAAAgAElEQVQQrbVub0xsg4bI0hAVdESWhsjSEBV0RIHd2gPc1J0pfhzH749HC8f/Ox4tHSv84OO/vhIR/9rrf/B4PP6tiPi3Hn/6KyLiHy/6uvCmPNDI0hBZGqKCjsjSEFkaooKOuIvuRPXjOP7yiPh9ETFHxD93PB4fFLzmPiJ+0+NP/+fj8fjX3uDofx0Rr36935r9ugAAAACwdXdi6RgR/0lE/LKI+NjxePypotf8VRHx9OOP/5c3OnQ8Hl+KiOcef/oP3OQLtNaWTcad11qL0+mkIRbTEFkaooKOyNIQWRqigo7I6rWdW790HMfxn4qI3xIRPxcR/2rhS//Kax+f3uTs//P4r984juNb/jX40zTdeCiIeNTO+XzWEItpiCwNUUFHZGmILA1RQUdk9drOrV46juP4TET8wcef/ovH4/FvFL78u659/HNvcvbVH99HxN9ZOAMAAAAAbM4Taw/wNvsD8Wg5+JPH4/HHil/7+vLwpTc5+4uv+3lfeCtf4CMf+Ujcu3fv6vPd7tE3SX70ox+NiEeb7td/i+39+/df8xvUOnM3zzx8+DBaa/HgwYPU6zhzd888ePDgNQ2tPY8z/Z253tAW5nGmzzMPHjyIeZ5f83O2PrMz2zrz+s/XnseZ/s5ct4V5nOn3zOv//WzteZzp68zDhw/jqaeeit7c2qXjOI6/OSK+OyIuI+IH3uYvNyd//Et6+eWXrxaNERH37t2LJ598MiIe3bCee+65XxLmu971rnj/+9/vzB0/8/zzz8cv/MIvxGc+85mrG9XWZ3ZmW2cePnz4mobWnseZ/s601q4a+tqv/drV53GmzzOttXjppZde8/nWZ3ZmW2e++qu/+urjLczjTH9n3vOe91yd+fSnP736PM70e+bzn//8a/79bO15nOnrzPPPPx8f/vCHoze71//X49tgHMeviojPRsR7IuJfOh6Pf+BLnPkfI+JbI+Jzx+PxfQu+xg/Go++kjIj4J4/H43/3Zc7+/oj4lx9/+lXH4/ENv9NxHMeLeLQojY997GPxjne84+rHtr55d2Y7Z774xS/Gpz/96fjABz5w9V9otz6zM9s68+DBg3j++eevGlp7Hmf6OzNN01VDTz/99OrzONPnmWma4rOf/Wx86EMfunqebX1mZ7Z1JiLi05/+dHzwgx+M+/fvrz6PM/2deeWVV+K5556LD37wgxERq8/jTJ9npmmKT37yk/FN3/RNV8+zrc/szLbOfPGLX4ynn376Lf8ZIVtxW5eO/2FE/FBE/LmI+PDxePwl//RRsHT8roj4o48//f7j8fixL3P2v4hH33X5ICL+juPx+Ib/p19fOh4Oh9jv9zcdDSLi0T8QXb9JwU1piCwNUUFHZGmILA1RQUcU6G7peFt/efXXP/7rPxgRr4zj+OXOft04jq8uAX/qeDx+21v8Gn/x2sfvf4vz/F9fbuEIlTzQyNIQWRqigo7I0hBZGqKCjriLVL/c/xERX3z88W94o0PjOD4VER96/Omff7uHAgAAAIC13dal4w9FxAff5Prk47M/e+3v/c63+gWOx+NLEfGnHn/6LeM4/j1vcPS3RsSrf8TQT7z1/wm/9PcLgbeqtRan00lDLKYhsjREBR2RpSGyNEQFHZHVazu38pdXH4/H//fNzozjePn4w5ePx+OnFn6pPxgRvy0e/f/470fE97zuazwdEf/O40//ckT8yZu8+DRNC8firpumKc7nc7znPe+Jp5566s1/AryOhsjSEBV0RJaGyNIQFXRE1jRNXbZzK5eOVcZx/CsR8XXxBn/YzPF4/MQ4jv9VRHxHRPzT4zjuIuI/iIj/LyI+EBG/NyK+ISLmePSnaNsiAgAAAHDrWTrmfW9EfHVEfHs8+hOqv/t1Pz7Fo4XjT36F5wIAAACAVdzW39PxK+Z4PH4xIv6xeLR8/EREvBARDyLicxHxIxHx64/H4x9aaz4AAAAA+Eq7s9/peDwev+0tnHnfW3ytOSJ+9PFVZhjshFlmGIarC5bQEFkaooKOyNIQWRqigo7I6rWd3TzPa8/ANeM4XkTEZUTE4XCI/X6/8kT0qrXW7Y2JbdAQWRqigo7I0hBZGqKCjiiwW3uAm1I83FIeaGRpiCwNUUFHZGmILA1RQUfcRaoHAAAAAEpZOm5Ya23tEehUay1Op5OGWExDZGmICjoiS0NkaYgKOiKr13YsHTdsmqa1R6BT0zTF+XzWEItpiCwNUUFHZGmILA1RQUdk9dqOpSMAAAAAUMrSEQAAAAAoZekIAAAAAJSydNywYfD2sMwwDFcXLKEhsjREBR2RpSGyNEQFHZHVazu7eZ7XnoFrxnG8iIjLiIjD4RD7/X7liehVa63bGxPboCGyNEQFHZGlIbI0RAUdUWC39gA3pXi4pTzQyNIQWRqigo7I0hBZGqKCjriLVA8AAAAAlLJ03LDW2toj0KnWWpxOJw2xmIbI0hAVdESWhsjSEBV0RFav7Vg6btg0TWuPQKemaYrz+awhFtMQWRqigo7I0hBZGqKCjsjqtR1LRwAAAACglKUjAAAAAFDK0hEAAAAAKGXpuGHD4O1hmWEYri5YQkNkaYgKOiJLQ2RpiAo6IqvXdnbzPK89A9eM43gREZcREYfDIfb7/coT0avWWrc3JrZBQ2RpiAo6IktDZGmICjqiwG7tAW5K8XBLeaCRpSGyNEQFHZGlIbI0RAUdcRepHgAAAAAoZem4Ya21tUegU621OJ1OGmIxDZGlISroiCwNkaUhKuiIrF7bsXTcsGma1h6BTk3TFOfzWUMspiGyNEQFHZGlIbI0RAUdkdVrO5aOAAAAAEApS0cAAAAAoJSlIwAAAABQytJxw4bB28MywzBcXbCEhsjSEBV0RJaGyNIQFXREVq/t7OZ5XnsGrhnH8SIiLiMiDodD7Pf7lSeiV621bm9MbIOGyNIQFXRElobI0hAVdESB3doD3JTi4ZbyQCNLQ2RpiAo6IktDZGmICjriLlI9AAAAAFDK0nHDWmtrj0CnWmtxOp00xGIaIktDVNARWRoiS0NU0BFZvbZj6bhh0zStPQKdmqYpzuezhlhMQ2RpiAo6IktDZGmICjoiq9d2LB0BAAAAgFKWjgAAAABAKUtHAAAAAKCUpeOGDYO3h2WGYbi6YAkNkaUhKuiILA2RpSEq6IisXtvZzfO89gxcM47jRURcRkQcDofY7/crT0SvWmvd3pjYBg2RpSEq6IgsDZGlISroiAK7tQe4KcXDLeWBRpaGyNIQFXRElobI0hAVdMRdpHoAAAAAoJSl44a11tYegU611uJ0OmmIxTREloaooCOyNESWhqigI7J6bcfSccOmaVp7BDo1TVOcz2cNsZiGyNIQFXRElobI0hAVdERWr+1YOgIAAAAApSwdAQAAAIBSlo4AAAAAQClLxw0bBm8PywzDcHXBEhoiS0NU0BFZGiJLQ1TQEVm9trOb53ntGbhmHMeLiLiMiDgcDrHf71eeiF611rq9MbENGiJLQ1TQEVkaIktDVNARBXZrD3BTiodbygONLA2RpSEq6IgsDZGlISroiLtI9QAAAABAKUvHDWutrT0CnWqtxel00hCLaYgsDVFBR2RpiCwNUUFHZPXajqXjhk3TtPYIdGqapjifzxpiMQ2RpSEq6IgsDZGlISroiKxe27F0BAAAAABKWToCAAAAAKUsHQEAAACAUpaOGzYM3h6WGYbh6oIlNESWhqigI7I0RJaGqKAjsnptZzfP89ozcM04jhcRcRkRcTgcYr/frzwRvWqtdXtjYhs0RJaGqKAjsjREloaooCMK7NYe4KYUD7eUBxpZGiJLQ1TQEVkaIktDVNARd5HqAQAAAIBSlo4b1lpbewQ61VqL0+mkIRbTEFkaooKOyNIQWRqigo7I6rUdS8cNm6Zp7RHo1DRNcT6fNcRiGiJLQ1TQEVkaIktDVNARWb22Y+kIAAAAAJSydAQAAAAASlk6AgAAAAClLB03bBi8PSwzDMPVBUtoiCwNUUFHZGmILA1RQUdk9drObp7ntWfgmnEcLyLiMiLicDjEfr9feSJ61Vrr9sbENmiILA1RQUdkaYgsDVFBRxTYrT3ATSkebikPNLI0RJaGqKAjsjREloaooCPuItUDAAAAAKUsHTestbb2CHSqtRan00lDLKYhsjREBR2RpSGyNEQFHZHVazuWjhs2TdPaI9CpaZrifD5riMU0RJaGqKAjsjREloaooCOyem3H0hEAAAAAKGXpCAAAAACUsnQEAAAAAEpZOm7YMHh7WGYYhqsLltAQWRqigo7I0hBZGqKCjsjqtZ3dPM9rz8A14zheRMRlRMThcIj9fr/yRPSqtdbtjYlt0BBZGqKCjsjSEFkaooKOKLBbe4CbUjzcUh5oZGmILA1RQUdkaYgsDVFBR9xFqgcAAAAASlk6blhrbe0R6FRrLU6nk4ZYTENkaYgKOiJLQ2RpiAo6IqvXdiwdN2yaprVHoFPTNMX5fNYQi2mILA1RQUdkaYgsDVFBR2T12o6lIwAAAABQytIRAAAAAChl6QgAAAAAlLJ03LBh8PawzDAMVxcsoSGyNEQFHZGlIbI0RAUdkdVrO7t5nteegWvGcbyIiMuIiMPhEPv9fuWJ6FVrrdsbE9ugIbI0RAUdkaUhsjREBR1RYLf2ADeleLilPNDI0hBZGqKCjsjSEFkaooKOuItUDwAAAACUsnTcsNba2iPQqdZanE4nDbGYhsjSEBV0RJaGyNIQFXREVq/tWDpu2DRNa49Ap6ZpivP5rCEW0xBZGqKCjsjSEFkaooKOyOq1HUtHAAAAAKCUpSMAAAAAUMrSEQAAAAAoZem4YcPg7WGZYRiuLlhCQ2RpiAo6IktDZGmICjoiq9d2dvM8rz0D14zjeBERlxERh8Mh9vv9yhPRq9ZatzcmtkFDZGmICjoiS0NkaYgKOqLAbu0BbkrxcEt5oJGlIbI0RAUdkaUhsjREBR1xF6keAAAAAChl6bhhrbW1R6BTrbU4nU4aYjENkaUhKuiILA2RpSEq6IisXtuxdNywaZrWHoFOTdMU5/NZQyymIbI0RAUdkaUhsjREBR2R1Ws7lo4AAAAAQClLRwAAAACglKUjAAAAAFDK0nHDhsHbwzLDMFxdsISGyNIQFXRElobI0hAVdERWr+3s5nleewauGcfxIiIuIyIOh0Ps9/uVJ6JXrbVub0xsg4bI0hAVdESWhsjSEBV0RIHd2gPclOLhlvJAI0tDZGmICjoiS0NkaYgKOuIuUj0AAAAAUMrSccNaa2uPQKdaa3E6nTTEYhoiS0NU0BFZGiJLQ1TQEVm9tmPpuGHTNK09Ap2apinO57OGWExDZGmICjoiS0NkaYgKOiKr13YsHQEAAACAUpaOAAAAAEApS0cAAAAAoJSl44YNg7eHZYZhuLpgCQ2RpSEq6IgsDZGlISroiKxe29nN87z2DFwzjuNFRFxGRBwOh9jv9ytPRK9aa93emNgGDZGlISroiCwNkaUhKuiIAru1B7gpxcMt5YFGlobI0hAVdESWhsjSEBV0xF2kegAAAACglKXjhrXW1h6BTrXW4nQ6aYjFNESWhqigI7I0RJaGqKAjsnptx9Jxw6ZpWnsEOjVNU5zPZw2xmIbI0hAVdESWhsjSEBV0RFav7Vg6AgAAAAClLB0BAAAAgFKWjgAAAABAKUvHDRsGbw/LDMNwdcESGiJLQ1TQEVkaIktDVNARWb22s5vnee0ZuGYcx4uIuIyIOBwOsd/vV56IXrXWur0xsQ0aIktDVNARWRoiS0NU0BEFdmsPcFOKh1vKA40sDZGlISroiCwNkaUhKuiIu0j1AAAAAEApS8cNa62tPQKdaq3F6XTSEItpiCwNUUFHZGmILA1RQUdk9dqOpeOGTdO09gh0apqmOJ/PGmIxDZGlISroiCwNkaUhKuiIrF7bsXQEAAAAAEpZOgIAAAAApSwdAQAAAIBSlo4bNgzeHpYZhuHqgiU0RJaGqKAjsjREloaooCOyem1nN8/z2jNwzTiOFxFxGRFxOBxiv9+vPBG9aq11e2NiGzREloaooCOyNESWhqigIwrs1h7gphQPt5QHGlkaIktDVNARWRoiS0NU0BF3keoBAAAAgFKWjhvWWlt7BDrVWovT6aQhFtMQWRqigo7I0hBZGqKCjsjqtR1Lxw2bpmntEejUNE1xPp81xGIaIktDVNARWRoiS0NU0BFZvbZj6QgAAAAAlLJ0BAAAAABKWToCAAAAAKUsHTdsGLw9LDMMw9UFS2iILA1RQUdkaYgsDVFBR2T12s5unue1Z+CacRwvIuIyIuJwOMR+v195InrVWuv2xsQ2aIgsDVFBR2RpiCwNUUFHFNitPcBNKR5uKQ80sjREloaooCOyNESWhqigI+4i1QMAAAAApSwdN6y1tvYIdKq1FqfTSUMspiGyNEQFHZGlIbI0RAUdkdVrO5aOGzZN09oj0KlpmuJ8PmuIxTREloaooCOyNESWhqigI7J6bcfSEQAAAAAoZekIAAAAAJSydAQAAAAASlk6btgweHtYZhiGqwuW0BBZGqKCjsjSEFkaooKOyOq1nd08z2vPwDXjOF5ExGVExOFwiP1+v/JE9Kq11u2NiW3QEFkaooKOyNIQWRqigo4osFt7gJtSPNxSHmhkaYgsDVFBR2RpiCwNUUFH3EWqBwAAAABKWTpuWGtt7RHoVGstTqeThlhMQ2RpiAo6IktDZGmICjoiq9d2LB03bJqmtUegU9M0xfl81hCLaYgsDVFBR2RpiCwNUUFHZPXajqUjAAAAAFDK0hEAAAAAKGXpCAAAAACUsnTcsGHw9rDMMAxXFyyhIbI0RAUdkaUhsjREBR2R1Ws7u3me156Ba8ZxvIiIy4iIw+EQ+/1+5YnoVWut2xsT26AhsjREBR2RpSGyNEQFHVFgt/YAN6V4uKU80MjSEFkaooKOyNIQWRqigo64i1QPAAAAAJSydNyw1traI9Cp1lqcTicNsZiGyNIQFXRElobI0hAVdERWr+1YOm7YNE1rj0CnpmmK8/msIRbTEFkaooKOyNIQWRqigo7I6rUdS0cAAAAAoJSlIwAAAABQytIRAAAAAChl6bhhw+DtYZlhGK4uWEJDZGmICjoiS0NkaYgKOiKr13Z28zyvPQPXjON4ERGXERGHwyH2+/3KE9Gr1lq3Nya2QUNkaYgKOiJLQ2RpiAo6osBu7QFuSvFwS3mgkaUhsjREBR2RpSGyNEQFHXEXqR4AAAAAKGXpuGGttbVHoFOttTidThpiMQ2RpSEq6IgsDZGlISroiKxe27F03LBpmtYegU5N0xTn81lDLKYhsjREBR2RpSGyNEQFHZHVazuWjgAAAABAKUtHAAAAAKCUpSMAAAAAUMrSccOGwdvDMsMwXF2whIbI0hAVdESWhsjSEBV0RFav7ezmeV57Bq4Zx/EiIi4jIg6HQ+z3+5UnolettW5vTGyDhsjSEBV0RJaGyNIQFXREgd3aA9yU4uGW8kAjS0NkaYgKOiJLQ2RpiAo64i5SPQAAAABQytJxw1pra49Ap1prcTqdNMRiGiJLQ1TQEVkaIktDVNARWb22Y+m4YdM0rT0CnZqmKc7ns4ZYTENkaYgKOiJLQ2RpiAo6IqvXdiwdAQAAAIBSlo4AAAAAQClLRwAAAACglKXjhg2Dt4dlhmG4umAJDZGlISroiCwNkaUhKuiIrF7b2c3zvPYMXDOO40VEXEZEHA6H2O/3K09Er1pr3d6Y2AYNkaUhKuiILA2RpSEq6IgCu7UHuCnFwy3lgUaWhsjSEBV0RJaGyNIQFXTEXaR6AAAAAKCUpeOGtdbWHoFOtdbidDppiMU0RJaGqKAjsjREloaooCOyem3H0nHDpmlaewQ6NU1TnM9nDbGYhsjSEBV0RJaGyNIQFXREVq/tWDoCAAAAAKUsHQEAAACAUk+sPcDbYRzHr4mI3x4Rvy4iPhgRf1dEPBOP/ve+GBGfiog/HhEfPx6Pi75HdRzH742I//wtHn/X8Xh8YcnXAQAAAIDe3NbvdPz1EfGfRsTvevzxeyPiIiKeioi/OyL+iYj4zyLiU+M4fv1aQ76ZYbitbw9vt2EYri5YQkNkaYgKOiJLQ2RpiAo6IqvXdnbzPK89Q7lxHL89Iv7tiPjTEfHJiPiZiPjZiHg6Ir4+Ir4/Ir4rInYR8Zci4tccj8dfvOHX+N7429/p+PdHxF99o7PH4/HyBq97ERGXERGHwyH2+/1NxoIrrbVub0xsg4bI0hAVdESWhsjSEBV0RIHd2gPc1K385dXH4/HPRMSfeYMf/lxEfGIcx89GxO+JiF8REd8REX8k8SW/eJPFInwleKCRpSGyNEQFHZGlIbI0RAUdcRfd5er/8LWPf91qUwAAAADALXOXl44vX/v4wWpTfBmttbVHoFOttTidThpiMQ2RpSEq6IgsDZGlISroiKxe27nLS8fvvPbxT1e84DiOT1a8zqumadEfrA0xTVOcz2cNsZiGyNIQFXRElobI0hAVdERWr+3cyt/T8Y2M4/jOiHhfRHxPRPzg47/9v0bEH0++9E+M4/iNEbEfx/GliPg/I+JPRMQPH4/Hn02+NgAAAAB05dYvHcdx/Ncj4t/7Ej/0ckT8SET87uPxmP0+1V9z7eN9RHzw8fW7x3H8Hcfj8ceTrw8AAAAA3bj1S8cv47+JiD+c+FOnfzEiPh4RPxGPvrPxZyJijohviIjvjkffSfmOiPgvx3H8m4//RO0b+chHPhL37t27+ny3e/Sno3/0ox+NiEffXvv6X9d///791/ypWM7czTMPHz6M1lo8ePAg9TrO3N0zDx48eE1Da8/jTH9nrje0hXmc6fPMgwcPYp7n1/ycrc/szLbOvP7ztedxpr8z121hHmf6PfP6fz9bex5n+jrz8OHDeOqpp6I3d2Hp+Psj4ocff3wREb8yHv3y6t8REd8xjuPvjYh/46bf7Xg8Hn8sIn7sS/zQcxHx3DiO/21E/KmIeCoiPjqO468+Ho+v3ORrvPzyy1eLxoiIe/fuxZNPPvptI1tr8dxzz/2SMN/1rnfF+9//fmfu+JnPfOYz8fnPfz4++9nPXjW09Zmd2daZV1555TUNrT2PM/2dmef5qqF3v/vdq8/jTJ9n5nmOl1566eofuteex5n+zjzzzDMxDEMMw7CJeZzp78x73/veq3vQFuZxps8zERFf+MIXXvPvZ1uf2ZltnfnMZz4T3/zN3xy92b3+vx7fFeM4fldE/NHHn/7Q8Xj8j96Gr/H7IuJfefzpbzgej//bW/g5FxFxGRHx8Y9/PPb7/dWPbX3z7sy2zjx8+PA1f2/teZzp70xr7ervb2EeZ/o782pDW5nHmT7P3Lt3L5544okve2ZrMzuzrTMRcXVuC/M409+ZV59nW5nHmT7PvP67HNeex5n+zty/f38XnbmzS8eIiHEc/6eI+JaI+Jnj8fjet+H1/+GI+LOPP/3nj8fjH3oLP+dq6Xg4HF6zdAQAAADgTupu6Ti8+ZFb7dXvPPx7x3F89m14/Z+79vEvexteHwAAAAA2564vHd/u39Pyl1/7+G/c9Ce//ttr4a1qrcXpdNIQi2mILA1RQUdkaYgsDVFBR2T12s5dXzp+6+O//s2IePFteP3ffu3jv3DTnzxNU+Eo3CXTNMX5fNYQi2mILA1RQUdkaYgsDVFBR2T12s6tXDqO4/ir3sKZH4yIDz3+9MePx+Nb/s0tx3F8xziO73yTM/9oRPzA40//YkT8ubf6+gAAAADQs7f7lxev5b8fx/FzEfHjEfHTEfFXI+IX49Hvq/hrI+L7IuK3PD771yPi33z9C4zj+Fci4usi4nPH4/F9r/vh90fET43j+GMR8Scj4vl49J2S9yLiGyPiOyPidz3+fIqIHzgej31+LywAAAAA3NBtXTru4tEvnf7WNzn3FyLiO4/H419f8DW+KiL+2cfXGzlHxPcdj8dPLHh9AAAAAOjSbV06/raI+I0R8Y9ExDdExLsj4p0R8bci4q9FxCfj0XdB/uTxeHxlwev/5Yj4nRHx4Xj0S7S/NiKeiUfLzhcj4n+PiD8RET96PB5/Yen/iGG4lb/6na+AYRiuLlhCQ2RpiAo6IktDZGmICjoiq9d2dvP8ln8rQ74CxnG8iIjLiIjD4RD7/X7liehVa63bGxPboCGyNEQFHZGlIbI0RAUdUWC39gA3pXi4pTzQyNIQWRqigo7I0hBZGqKCjriLVA8AAAAAlLJ03LDW/IHXLNNai9PppCEW0xBZGqKCjsjSEFkaooKOyOq1HUvHDZumae0R6NQ0TXE+nzXEYhoiS0NU0BFZGiJLQ1TQEVm9tmPpCAAAAACUsnQEAAAAAEpZOgIAAAAApSwdN2wYvD0sMwzD1QVLaIgsDVFBR2RpiCwNUUFHZPXazm6e57Vn4JpxHC8i4jIi4nA4xH6/X3kietVa6/bGxDZoiCwNUUFHZGmILA1RQUcU2K09wE0pHm4pDzSyNESWhqigI7I0RJaGqKAj7iLVAwAAAAClLB03rLW29gh0qrUWp9NJQyymIbI0RAUdkaUhsjREBR2R1Ws7lo4bNk3T2iPQqWma4nw+a4jFNESWhqigI7I0RJaGqKAjsnptx9IRAAAAAChl6QgAAAAAlLJ0BAAAAABKWTpu2DB4e1hmGIarC5bQEFkaooKOyNIQWRqigo7I6rWd3TzPa8/ANeM4XkTEZUTE4XCI/X6/8kT0qrXW7Y2JbdAQWRqigo7I0hBZGqKCjiiwW3uAm1I83FIeaGRpiCwNUUFHZGmILA1RQUfcRaoHAAAAAEpZOm5Ya23tEehUay1Op5OGWExDZGmICjoiS0NkaYgKOiKr13YsHTdsmqa1R6BT0zTF+XzWEItpiCwNUUFHZGmILA1RQUdk9dqOpSMAAAAAUMrSEQAAAAAoZekIAAAAAJSydNywYfD2sMwwDFcXLKEhsrERIMgAACAASURBVDREBR2RpSGyNEQFHZHVazu7eZ7XnoFrxnG8iIjLiIjD4RD7/X7liehVa63bGxPboCGyNEQFHZGlIbI0RAUdUWC39gA3pXi4pTzQyNIQWRqigo7I0hBZGqKCjriLVA8AAAAAlLJ03LDW2toj0KnWWpxOJw2xmIbI0hAVdESWhsjSEBV0RFav7Vg6btg0TWuPQKemaYrz+awhFtMQWRqigo7I0hBZGqKCjsjqtR1LRwAAAACglKUjAAAAAFDK0hEAAAAAKGXpuGHD4O1hmWEYri5YQkNkaYgKOiJLQ2RpiAo6IqvXdnbzPK89A9eM43gREZcREYfDIfb7/coT0avWWrc3JrZBQ2RpiAo6IktDZGmICjqiwG7tAW5K8XBLeaCRpSGyNEQFHZGlIbI0RAUdcRepHgAAAAAoZem4Ya21tUegU621OJ1OGmIxDZGlISroiCwNkaUhKuiIrF7bsXTcsGma1h6BTk3TFOfzWUMspiGyNEQFHZGlIbI0RAUdkdVrO5aOAAAAAEApS0cAAAAAoJSlIwAAAABQytJxw4bB28MywzBcXbCEhsjSEBV0RJaGyNIQFXREVq/t7OZ5XnsGrhnH8SIiLiMiDodD7Pf7lSeiV621bm9MbIOGyNIQFXRElobI0hAVdESB3doD3JTi4ZbyQCNLQ2RpiAo6IktDZGmICjriLlI9AAAAAFDK0nHDWmtrj0CnWmtxOp00xGIaIktDVNARWRoiS0NU0BFZvbZj6bhh0zStPQKdmqYpzuezhlhMQ2RpiAo6IktDZGmICjoiq9d2LB0BAAAAgFKWjgAAAABAKUtHAAAAAKCUpeOGDYO3h2WGYbi6YAkNkaUhKuiILA2RpSEq6IisXtvZzfO89gxcM47jRURcRkQcDofY7/crT0SvWmvd3pjYBg2RpSEq6IgsDZGlISroiAK7tQe4KcXDLeWBRpaGyNIQFXRElobI0hAVdMRdpHoAAAAAoJSl44a11tYegU611uJ0OmmIxTREloaooCOyNESWhqigI7J6bcfSccOmaVp7BDo1TVOcz2cNsZiGyNIQFXRElobI0hAVdERWr+1YOgIAAAAApSwdAQAAAIBSlo4AAAAAQClLxw0bBm8PywzDcHXBEhoiS0NU0BFZGiJLQ1TQEVm9trOb53ntGbhmHMeLiLiMiDgcDrHf71eeiF611rq9MbENGiJLQ1TQEVkaIktDVNARBXZrD3BTiodbygONLA2RpSEq6IgsDZGlISroiLtI9QAAAABAKUvHDWutrT0CnWqtxel00hCLaYgsDVFBR2RpiCwNUUFHZPXajqXjhk3TtPYIdGqapjifzxpiMQ2RpSEq6IgsDZGlISroiKxe27F0BAAAAABKWToCAAAAAKUsHQEAAACAUpaOGzYM3h6WGYbh6oIlNESWhqigI7I0RJaGqKAjsnptZzfP89ozcM04jhcRcRkRcTgcYr/frzwRvWqtdXtjYhs0RJaGqKAjsjREloaooCMK7NYe4KYUD7eUBxpZGiJLQ1TQEVkaIktDVNARd5HqAQAAAIBSlo4b1lpbewQ61VqL0+mkIRbTEFkaooKOyNIQWRqigo7I6rUdS8cNm6Zp7RHo1DRNcT6fNcRiGiJLQ1TQEVkaIktDVNARWb22Y+kIAAAAAJSydAQAAAAASlk6AgAAAAClLB03bBi8PSwzDMPVBUtoiCwNUUFHZGmILA1RQUdk9drObp7ntWfgmnEcLyLiMiLicDjEfr9feSJ61Vrr9sbENmiILA1RQUdkaYgsDVFBRxTYrT3ATSkebikPNLI0RJaGqKAjsjREloaooCPuItUDAAAAAKUsHTestbb2CHSqtRan00lDLKYhsjREBR2RpSGyNEQFHZHVazuWjhs2TdPaI9CpaZrifD5riMU0RJaGqKAjsjREloaooCOyem3H0hEAAAAAKGXpCAAAAACUsnQEAAAAAEpZOm7YMHh7WGYYhqsLltAQWRqigo7I0hBZGqKCjsjqtZ3dPM9rz8A14zheRMRlRMThcIj9fr/yRPSqtdbtjYlt0BBZGqKCjsjSEFkaooKOKLBbe4CbUjzcUh5oZGmILA1RQUdkaYgsDVFBR9xFqgcAAAAASlk6blhrbe0R6FRrLU6nk4ZYTENkaYgKOiJLQ2RpiAo6IqvXdiwdN2yaprVHoFPTNMX5fNYQi2mILA1RQUdkaYgsDVFBR2T12o6lIwAAAABQytIRAAAAAChl6QgAAAAAlLJ03LBh8PawzDAMVxcsoSGyNEQFHZGlIbI0RAUdkdVrO7t5nteegWvGcbyIiMuIiMPhEPv9fuWJ6FVrrdsbE9ugIbI0RAUdkaUhsjREBR1RYLf2ADeleLilPNDI0hBZGqKCjsjSEFkaooKOuItUDwAAAACUsnTcsNba2iPQqdZanE4nDbGYhsjSEBV0RJaGyNIQFXREVq/tWDpu2DRNa49Ap6ZpivP5rCEW0xBZGqKCjsjSEFkaooKOyOq1HUtHAAAAAKCUpSMAAAAAUMrSEQAAAAAoZem4YcPg7WGZYRiuLlhCQ2RpiAo6IktDZGmICjoiq9d2dvM8rz0D14zjeBERlxERh8Mh9vv9yhPRq9ZatzcmtkFDZGmICjoiS0NkaYgKOqLAbu0BbkrxcEt5oJGlIbI0RAUdkaUhsjREBR1xF6keAAAAAChl6bhhrbW1R6BTrbU4nU4aYjENkaUhKuiILA2RpSEq6IisXtuxdNywaZrWHoFOTdMU5/NZQyymIbI0RAUdkaUhsjREBR2R1Ws7lo4AAAAAQClLRwAAAACglKUjAAAAAFDK0nHDhsHbwzLDMFxdsISGyNIQFXRElobI0hAVdERWr+3s5nleewauGcfxIiIuIyIOh0Ps9/uVJ6JXrbVub0xsg4bI0hAVdESWhsjSEBV0RIHd2gPclOLhlvJAI0tDZGmICjoiS0NkaYgKOuIuUj0AAAAAUMrSccNaa2uPQKdaa3E6nTTEYhoiS0NU0BFZGiJLQ1TQEVm9tmPpuGHTNK09Ap2apinO57OGWExDZGmICjoiS0NkaYgKOiKr13YsHQEAAACAUpaOAAAAAEApS0cAAAAAoJSl44YNg7eHZYZhuLpgCQ2RpSEq6IgsDZGlISroiKxe29nN87z2DFwzjuNFRFxGRBwOh9jv9ytPRK9aa93emNgGDZGlISroiCwNkaUhKuiIAru1B7gpxcMt5YFGlobI0hAVdESWhsjSEBV0xF2kegAAAACglKXjhrXW1h6BTrXW4nQ6aYjFNESWhqigI7I09P+3d+dRslXl3ce/3UytF1BAEAcURURUgqgomhhRUSPqg/pGXagIOEQNSoiJcYhRMInT6xBFDdFEASPqFaI8b4iaoIgDDlFAozgsr4AaGS4oykUuFFS/f+zTdNl0dw3n1NT3+1mrVp/TdWqf3bd/d9fuXfvso7rMkJpgjlTXtGbHQccJ1mq1xl0FTalWq8XGjRvNkAZmhlSXGVITzJHqMkOqywypCeZIdU1rdhx0lCRJkiRJktQoBx0lSZIkSZIkNcpBR0mSJEmSJEmNctBxgs3O+uvRYGZnZ295SIMwQ6rLDKkJ5kh1mSHVZYbUBHOkuqY1OzPz8/PjroM6RMQ6YBPA+vXrmZubG3ONNK3a7fbUNkyaDGZIdZkhNcEcqS4zpLrMkJpgjtSAmXFXoF8mXlqjfENTXWZIdZkhNcEcqS4zpLrMkJpgjrQlMvWSJEmSJEmSGuWg4wRrt9vjroKmVLvdZsOGDWZIAzNDqssMqQnmSHWZIdVlhtQEc6S6pjU7DjpOsFarNe4qaEq1Wi02btxohjQwM6S6zJCaYI5UlxlSXWZITTBHqmtas+OgoyRJkiRJkqRGOegoSZIkSZIkqVEOOkqSJEmSJElqlIOOE2x21l+PBjM7O3vLQxqEGVJdZkhNMEeqywypLjOkJpgj1TWt2ZmZn58fdx3UISLWAZsA1q9fz9zc3JhrpGnVbrentmHSZDBDqssMqQnmSHWZIdVlhtQEc6QGzIy7Av0y8dIa5Rua6jJDqssMqQnmSHWZIdVlhtQEc6QtkamXJEmSJEmS1CgHHSdYu90edxU0pdrtNhs2bDBDGpgZUl1mSE0wR6rLDKkuM6QmmCPVNa3ZcdBxgrVarXFXQVOq1WqxceNGM6SBmSHVZYbUBHOkusyQ6jJDaoI5Ul3Tmh0HHSVJkiRJkiQ1ykFHSZIkSZIkSY1y0FGSJEmSJElSoxx0nGCzs/56NJjZ2dlbHtIgzJDqMkNqgjlSXWZIdZkhNcEcqa5pzc7M/Pz8uOugDhGxDtgEsH79eubm5sZcI02rdrs9tQ2TJoMZUl1mSE0wR6rLDKkuM6QmmCM1YGbcFeiXiZfWKN/QVJcZUl1mSE0wR6rLDKkuM6QmmCNtiUy9JEmSJEmSpEY56DjB2u32uKugKdVut9mwYYMZ0sDMkOoyQ2qCOVJdZkh1mSE1wRyprmnNjoOOE6zVao27CppSrVaLjRs3miENzAypLjOkJpgj1WWGVJcZUhPMkeqa1uw46ChJkiRJkiSpUQ46SpIkSZIkSWqUg46SJEmSJEmSGuWg4wSbnfXXo8HMzs7e8pAGYYZUlxlSE8yR6jJDqssMqQnmSHVNa3Zm5ufnx10HdYiIdcAmgPXr1zM3NzfmGmlatdvtqW2YNBnMkOoyQ2qCOVJdZkh1mSE1wRypATPjrkC/TLy0RvmGprrMkOoyQ2qCOVJdZkh1mSE1wRxpS2TqJUmSJEmSJDXKQccJ1m63x10FTal2u82GDRvMkAZmhlSXGVITzJHqMkOqywypCeZIdU1rdhx0nGCtVmvcVdCUarVabNy40QxpYGZIdZkhNcEcqS4zpLrMkJpgjlTXtGbHQUdJkiRJkiRJjXLQUZIkSZIkSVKjHHSUJEmSJEmS1CgHHSfY7Ky/Hg1mdnb2loc0CDOkusyQmmCOVJcZUl1mSE0wR6prWrMzMz8/P+46qENErAM2Aaxfv565ubkx10jTqt1uT23DpMlghlSXGVITzJHqMkOqywypCeZIDZgZdwX6ZeKlNco3NNVlhlSXGVITzJHqMkOqywypCeZIWyJTL0mSJEmSJKlRDjpOsHa7Pe4qaEq12202bNhghjQwM6S6zJCaYI5UlxlSXWZITTBHqmtas+Og4wRrtVrjroKmVKvVYuPGjWZIAzNDqssMqQnmSHWZIdVlhtQEc6S6pjU7DjpKkiRJkiRJapSDjpIkSZIkSZIa5aCjJEmSJEmSpEY56DjBZmf99Wgws7OztzykQZgh1WWG1ARzpLrMkOoyQ2qCOVJd05qdmfn5+XHXQR0iYh2wCWD9+vXMzc2NuUaaVu12e2obJk0GM6S6zJCaYI5UlxlSXWZITTBHasDMuCvQLxMvrVG+oakuM6S6zJCaYI5UlxlSXWZITTBH2hKZekmSJEmSJEmNctBxgrXb7XFXQVOq3W6zYcMGM6SBmSHVZYbUBHOkusyQ6jJDaoI5Ul3Tmh0HHSdYq9UadxU0pVqtFhs3bjRDGpgZUl1mSE0wR6rLDKkuM6QmmCPVNa3ZcdBRkiRJkiRJUqMcdJQkSZIkSZLUKAcdJUmSJEmSJDVq63FXYBgiYmfgacCDgQOA3YFdKD/v1cCFwBnAhzOz1oXxETEDHAEcCewH7AhcBpwDvDszLxy07NlZx4Q1mNnZ2Vse0iDMkOoyQ2qCOVJdZkh1mSE1wRyprmnNzsz8/Py469C4iPgj4NM9HHoR8OTM/MmA57ktcCZwyAqHtIDjMvN9fZS5DtgEsH79eubm5gapmkS73Z7ahkmTwQypLjOkJpgj1WWGVJcZUhPMkRowM+4K9GutJv4m4MvA64EnAfsDuwF7Ao8GPgLMA/cFPhMRtxnwPCezOOB4GvCA6jyHAN8EtgHeExFPHLB8aSDHHHMML3vZy8ZdDU0xM6S6zJCaYI5UlxlSXWZITTBHquuYY44hIr437nr0a01eXp2ZZwNnr/D0pcA51S/rjcDewNOBU/s5R0QcXL0O4LTMfHbH05+rnr8QuBfwzoj4bGbe1M85JEmSJEmSpGm0Vmc69uL9HdsPHuD1x1ZfbwZeufTJzLwOeF21uzfwhH5P0G63B6iWVNx4441mSLWYIdVlhtQEc6S6zJDqMkNqgjnSlmhLHnS8sWP7hn5eGBFzwOOr3S9n5s9XOPSTHWU/pb/qQatV6x432oLNz89z8803myENzAypLjOkJpgj1WWGVJcZUhPMkeqa1vuxbMmDjod3bH+jz9fuC9y22j5vpYMyczNwQbX7oD7PIUmSJEmSJE2lNbmm40oi4naUm8kcweLl0V8FzuizqPt0bG/ocuxPgIOAfSJiJjN7Hp7evHkz2223XZ9Vk8ql+fPz82zevHlqPxHReJkh1WWG1ARzpLrMkOoyQ2qCOVJd1aX5M/2OK43bzFoPfES8CnjTMk/dSLnj9Msyc1OfZR4LvKvafXJm/vsqx74D+PNqd8fMvLZL2bsCV/ZTH0mSJEmSJK1521f3EJkKW/Ll1WcC7+93wLGyfcf25i7HXr/C6yRJkiRJkqQ1aUu4vPrtwHuq7XWUS6OPAJ4HPD0i3gK8JjMHvY1Ut6mi/U4lvQrYrdr+bf/VkSRJkiRJ0ho0VeNEa37QMTNbwMItojYBVwDnRsTngY8ArwQuB/6hj2I7Z0fepsuxnc93nVVZXZu/sY+6SJIkSZIkSRNli728OjNPA75U7b68z5df1bG924pHFXesvt5AD4OOkiRJkiRJ0rTbYgcdK1+rvu4REXfo43U/6Njeq8ux96y+/nCa7jAkSZIkSZIkDWpLH3Qc9PLyi1i8jv5hKx0UEdsBD6x2vznguSRJkiRJkqSpsqUPOj6y+noNcHWvL8rMzcBnq91HRMRdVjj0KcB21fanBqqhJEmSJEmSNGXW5KBjROzbwzHHsjgL8fQBLn0+sfq6NfDmZcq/LfCGavfHwGf6LF+SJEmSJEmaSjPz82tvmcGIuBi4FDgd+AbwU+B64PbAA4CjgcOqwy8HDsjMy5eUcQlwd+DSzNwzIvYELu6xCscDTwQOBOaBJ2fmWT3U+3jg9T2Uf11mbt+lrBngCOBIYD9gR+Ay4Bzg3Zl5YQ/nUYP6zNDTM/P0Ac6xC/Ak4NHAAcCelDuo/xr4LnAW8M+Z+atVyjiYkpNeHJiZLh0wIqPIUMe5tgFeDBwO7EPJ0f8Cnwb+ITN/0kMZtkNTJCJmKTdYe3j1rUszc88By+q3c3FuZh5co5xXZObb+jynGtZwho4CPtTj4btm5lWrHRARhwEvBB4E7AxcCZwHvDczvzhIHdW8hjO0PfAE4DHAgynrsG8PXAv8iHLV0kmZedkqZezJiN531Zwmc9RRZiN9GtuiyRIROwNPo7QRBwC7A7tQJhZdDVwInAF8ODNbA57DPtEaNqIMHcUU94nW5ExHYIZy6fSJwNcpbwjXAJdQLnNeGHA8H3jk0gHHBhxPGXBsAS/tZcCxSdUsy/8ETqEMPu1Kucx7T8qA6zci4k9HWScNX0Q8iDKIfjLwXEqHaAdKg7cL5f/EW4GLqoFFaVkRsRvlA5t3U9at3Zky6Hgv4GXAdyLiKV3KsB2aPi9l8Q+0Ufv2mM6rZo0zQ8uKiNmIOJXS/3si5Y+BbYG7As8AvhARbxxjFfW7GslQRNwR2AisB15E+cPq9pQ+0U7AQ4HXAT+MiGfUPZ8mTqNtURN9GtuiifUQ4AOUduIhwN2AdZTf752BQ4F/AS6MiHuuVEjD7BNNl0nM0LLG1Q6t1UHHpwJ/CSTlTtO/BG4GfkO5CcyHKQOPD8nMHw1Q/ospgzkLjxcBXwSuAm6gzLI8uSr/fQP+DDus8rhjl9eeDBxSbZ9Gmd25W/W9bwLbAO+JiCcOWDfVtzRDSx+fHKDM21A6078B3k/5f3APyoDR/sA7KP8PdgfOioj791DmoV3qef4A9VQzhpGhhdkBZ1LaDSgDj/tS2p3DKMtFrAM+GhEPXLaQ4mRsh6ZGNZvnjZQPy37WQJGrZXPh8YmO47t9evumLmW9q4E6q4YhZKjT/Vjl99/lE/03U2YnQRk0eBhlwODh1f4M8OqIeEnDdVafGs7QNsAcsBn4CGXW/t6UPtG+wN9Uz+0AnBYRh6xQTqehvO+qWUNqi06mfp/Gtmgy3QR8mXK14ZMofzPtRhlQfjSl/ZgH7gt8JiJuM8A57BOtbaPIUKep6xMNevfmiZaZFwAXAG+vUcaeqzx9Q2Zu6th/f/VozJLye1bNYHt6tXtaZj674+nPVc9fSJmx9M6I+Gxm3lSnrhrI0gw14Vrg1cCJmXndkud+BfxFRHyH0nG6LfD3LM76Xcn1Q6inmjGMDEGZJXtQtf3GzPzrjucyIv6bcqn+zpQ29lFLC7AdmkofoAwm/x3wCGCPOoV1y2ZE7EjpmAFc2MNlaTfaFk28RjO0xG8H+f1HxN7An1e7XwIOzcybq/2rIuJQ4AvAHwB/HxEfW235EQ1dkxm6kXJ1x1szc+nNIn8F/F1EfAX4HLAV5f1s/y5lDut9V81qtC1qok9jWzS5MvNs4OwVnr4UOCcivkcZyN6bkoVT+zyHfaI1bBQZWmLq+kRrdabjluzY6uvNwCuXPlkNRr2u2t2bstaN1oDM/HZmvnmZAcfOY06hDBgBPD4i1uQHD6ploQ25htJh/x3V2lcL68QcHBH7rVKG7dAUiIjnU2Zr/IhlfudD8kzK7GzofY0aTagxZagXL2HxA/a/6uhcA1Dt/1W1uxPwnBHWTR2azlBmXpmZr1xmwLHzmHMoa10D/F5ENDlQrjEYUlvURJ/Gtmi6dU4uevAQyrdPtPYNO0O9GFs75KDjGhIRc8Djq90vZ+bPVzj0k5TLwAFWXZdNa9LCoON2wB3GWRFNloi4G2UBZIAzM/P6FQ79WMf277QhtkPTJSLuRBlEngf+JDNv6PKSphxdfb2RctmJptQYM9SLhdn8l2Tm15Y7IDO/SrnhINgWjcWYM/Tdju27jPC8atgwctRgn8a2aLrd2LE9jPbJPtHaN+wM9WJs7ZCDjjVExLYTdo59KZfNQrn70LIyczPl8nMoC2trTEaRoWV0rgn6m15eMKZ6qgcN/24624PV2pCLKTctWvoasB2aNv9IubnCBzPz3FGcMCL2oawhA5CrzURa5rXbVHcQ1eQYWYb6ae8iYidgYcH2r3Y5fKGtsi0aj5G3Qx3sE60dw8hR7T6NbdGacHjH9jeaLNg+0Raj8QxNU5/ISysH8+qIeAewU0TcRLlW/wvAe3pYg6EnEfEtyt2Ht4mI64DvUG6Mc1JmXrPCy+7Tsb2hyyl+Qlm3bZ+ImMnM+bp1Vl+GnqHlVJ8CP6LavTAzf9vlJe+JiLsD20fEjZSbiJxNWTfyx8Oqp3oyjAz124bsTumQ1ynDdmhMIuKZlE89rwBeMcJTH9Wx3etlREdGxIspAwQ3R8QvKIt2/9MYBilUGWGGPlX9YTYXEZuB7wOfprR3l63wmn7bIoDbRcSdVilTDRtjO0S1mP+Tq92rgR92eclY+m7qbog5aqJPY1s0hSLidpQbgRzB4iX2XwXOaPhUR3Vs2ydaQ4aYoanrEznTcTD3plznDmXgdi/g+cD5EfGmhj5xeCDlTmhQFkN+GOVOVd+PiEeu8JpdO7av6FL+wvNzwPaDVlIDG0WGlvM2Fj9sOLGH4+/HYj62pdx161jgexHx0uarpz4MI0ODtCFLL9G3HZoCEbELi23An41qwfqI2IpysyKAy4DP9vjSPVmckbQV5cYAhwNfiIiTnXk0eiPO0P6UdoLq6wHAa4AfRsQfr/CaQdoicNmRkRlXO9ThtSz+vt+3dH2rZYyr76ZVDDlHTfRpbIumRES8KiLmI2Kesrb5hcBfUC7ZPxl4XGa2GzyffaI1ZkQZmro+kYOOvWtTZni9EHgA5RcwR1kw+DjgSsotxl8FHD/gOX5NuTTgiZSOzW2BHYHfBz5ICevuwL+vcPOGzje4zV3O1blWm3/sj8YoMrSiiHgB8Kxq9yvAKSsc2qKsTfNsymzbnSiLG98P+BtgE2UA8sSIOHqFMjQcw87QIG3I0vbDdmg6vIvSATkrMz8+wvM+DrhztX1qD3/kf53yQceDKe9/2wJ3p/yhv/BJ7JGUu5VqtIadoeuBDwP/h/KB1w6UduKBlDsNt6rvfTQiDlnm9bZFk29c7RAR8XgWbwryY8qdrpcz1r6bejLMHDXRjtgWTb8zgfcP4Y7R9om2HHUzNNV9Ii+v7lFm/hR47DJP/Rh4V0Sspwzk3INy+cUpmfmTZY5f7RzvXOGp84DzIuJsyuKy2wPvpNydbSXdLlP0MsYRG0WGVhIRjwLeW+1eCRy+0htbZn6lqsdSFwEXRcS/AV8CdgbeFhFnZGZP6yCpnhFnqIk2xHZoAkXEEykfKmwC/nTEp+/8oKLrZUSZedAy3/4p8MGI+ATwOeBA4LkR8YHM/HIz1dRqRpGhavBguQGEC4ALIuL/UWaFbAe8NyLuu8ofbLZFE2ac7VBE3I9yQ7StgN8Cz1zpD8Fx9t3U3YhzZL9o7Xs78J5qex3lktQjgOcBT4+ItwCvaXC2o32itWcoGZr2PpEzHRtSXeu+cK3+NsAzhnCOjwL/Vu0+plqfr1Nnh+k2XYrrfL7pT200gGFlKCIOpHy6si1lmvcfZebPBi0vMy8CXl/t7gwcWruSakQDGRqkDVnaftgOTbCI2BE4qdp9bfUH9ajOvRMQ1e55mdlt/bRVZea1lE7cgufUKU+9GWeGOlXrVi107O9N+UOrk23RhBpzO3RP4D8pNxy5EXhaZp4/aHmj6P9reSPKURPtiG3RlMjMVmZuqh5XZOa5mfkCFvsXr2Tx/3st9onWplFmaMl5J7pP5KBjsz7D4nTVBw7pHJ/q2D5gyXNXdWzv1qWchXUgbsA3tUnSaIYi4veqMncACa49UwAAD11JREFUrqUMOF6w+qt60pnDYWVdg6mToUHakKV32bMdmmzHA3cF/pve1nVt0rMon8BC74ulryozv8vigti2RaNxPOPL0FKrvRcN0hbBrds0Ne94xpChiNiDMhPozpRL0Z6emb2uobaaUfT/dWvHM/wcNdGnsS2acpl5GuUqL4CXN1SsfaItyJAytNTE9om8vLpBmXlTRPyS0pm5/ZBO07mw59Jz/KBje68u5SzcMv2H3jF2cjSZoYi4L2Udop2B64BDM/Pr9WsJrJ5DjVHNDC1tQz6/yrELbcj3u5SxGtuh0Vv4Nz+QcsfD1Y69e7UQNsC5mXlwzXMvXEb0W2B9zbI6XUHJmm3RaIwzQ0s13Sf6dWb+onat1M3IM1RdHfR5yg0YbgaelZk5SFlLjaj/r1sbRY6a6NPYFq0NXwMeAewREXfIzKu6vaAL+0RbnqYztNTE9omc6dig6k5Ru1S7w7oDX+cl1UvPcRGl4YJyt+tlRcR2LI5+f7O5qqmupjIUEftQPs3flbIY7JMaXtdjtRxqjGpmqLM9WK0N2ZPFDCxtQ2yHdCsRcX/gQdVu0+vALmTRtmjLs+J7UWb+Eri42l2xLao8vPr6rYbqpQkSEXekDDjei3JjmCMy8/QGyx9F/1/jUbtPY1u0ZjQ2Wcs+0RZr2BP+JrZP5KBjsw5lcZr0wOvDdPG06us8ZeHQW2TmZsoCogCPiIi7rFDGU1is56dWOEbjUTtD1XpFn6Pc1WwzcFhmfqGR2i16Wsf2sLKuwQycoWo9pIV25SkRMbfCoc/s2P6dNsR2aOL9OWVpjtUeC52Myzq+94Ka5+1rsfReRcQDKDdwANuiURlXhpbT7b1ooW25R0Q8dLkCqu/ffcnxGq6RZSgidqFc9XEfyoDj0dUa6U0aRf9ftzb0HDXYp7Etmn6PrL5eQ/1LTu0TbZmazNByJrZP5OXVPYqIPVa7+UZE3A14V7V7I8vfXWi18u8AbKre3FY65ijgsGr37My8fJnDTgSeSvndvplyt6TOMm4LvKHa/TFlHRqNwLAztHAOyoDjXVhcIP2/+nj9NsDOmXnFKsfsT1lHB0qD+el+66nBjCJDlDbkg8BOwF8Df7PkHLsDr6h2v5iZ/7NCGbZDEygzL+52TEQsrEV1Y2ZeWPecEbE1iwtoXwx8ocfXdcv77SlZXfDhQeuo3o0iQxGxAzCbmb9e5ZjHsni32h9Q1nVb6iTgZZS26C0R8ZjOuzlGxFbAW6vda4B/7beu6t+o2qGIuB3lpjH3p3xY/yeZeWqfZYzifVcDGOH7WRN9GtuiCRUR+2bm0qWClh5zLIszWU+vsySQfaK1Z9gZWgt9Igcde3dBRHyZchfgb1E+MbsJ2IPyCecrKGvnAbwhMy9ZWkCXtUT+APiniPgo8F+U6fy/AuaA+1HuRvWs6tjfAMctV8nMPCciPgE8HXhORMxQwvMLYD/gLZQ7Gs0Dx2Vmq/d/AtU01AxVlw99jsX1io4GvhQR269Sp+uWNHrrgEsi4gzgLOBC4MrquXtQPkE5jsW7Wh3X8CUBWt2w2yGAU4E/AQ4CXlvl5yRKe/RQ4O2Uy8g2U2YZ3Irt0NoXEZdQPgm9NDP37HL4oSwuWn1yHx2tjIirgTMonaefURbo3x04BPgrSvYB/jkzz+v5B9DYdcnQXsC5EfFxyh/w/0P5kGsrYB/gcOBF1X4L+NPMbC89R2b+KCLeSWkbHwmcFRGvpyy0vxdwAvCH1eGvyUwvR5siq2UoItZRPhRd+CPvlcDHu/SJru/8A6xS+31Xk63b+1kTfRrboon2HxFxKXA68A3gp5SlqW4PPIDy99TCpJ/LWfJhPNgn0tAzNPV9Igcde7c1JSyHrXJMCzghM/9+wHPsBvxZ9VjJxcDhmXnRKsccRZmldAjw7OqxtJ7HZeZZA9ZTgxl2hp4A7F1tbwV8pIfX3AO4ZMn35lg+N52uA47NTD+JHa2ht0OZeXNEHEa5nOgBlEHmpR9yXEdZE2u1SzeOwnZIxcJlRPPAKX28bgZ4TPVYyTzwXlYYANdU2xF4YfVYyUbK5bLnrHLMqyh/lB0BPL56dJoH3pyZ/1ijrpo8B/K761a9lcUZHCt5FLeedTSK/r8m31HU79PYFk2mGcoAzCO7HHc+5W/w5a407Id9orVnFBma6j6Rg469O5oyG/EhwF0pM33mgF8DP6J0Uv65l6n+K/gKcAxldtH+lBuA7EKZsbaRss7amcDHMvP61QrKzN9GxOOA5wJHUj6F24Eysn4O8K4mLplT34adoSZcS2mEDgIeTLkT4y6UtuJXlBm4ZwMfbOBNV/0bSYYy88pqTY8XUz4924cyu/XnlE/Y3pmZP+lShu2QiIhdgSdWu5/PzEv7ePlfUDrXD6XM4N6FMhv7WuAnwJcobdFyl/hruv2Ysu7aQZSZanek/P5nKJ/uf4cyi+2U1S43Aqg+7X9uNYP/hZT3tp0ofavzgPdm5rlD+jk0/aah76Yha6JPY1s0sZ4KPJoyw+velElAt6N8wP5zygzn04GzlpkJ3Rf7RGvWsDM09X2imfn5gZckkCRJkiRJkqRb8e7VkiRJkiRJkhrloKMkSZIkSZKkRjnoKEmSJEmSJKlRDjpKkiRJkiRJapSDjpIkSZIkSZIa5aCjJEmSJEmSpEY56ChJkiRJkiSpUQ46SpIkSZIkSWqUg46SJEmSJEmSGuWgoyRJkiRJkqRGOegoSZIkSZIkqVEOOkqSJEmSJElqlIOOkiRJkiRJkhq19bgrIEmSJDUhIl4OvB3YANwnM28awjn2An5A+fD+IZn5rabPIUmStBbMzM/Pj7sOkiRJGpGI2BO4uNo9NzMPHl9tmhMRdwZ+CGwPPCczP1J9/2TgyAZOcXRmnlyV+X7ghcB/Aw/NTDvUkiRJS3h5tSRJktaC4ykDjt8DPjrkc/0tcANwIPCMIZ9LkiRpKjnoKEmSpKkWEfcAjq5235qZ7Y6n/xrYb4XH4zuO++Yqx+0HfGrhwMz8GfCRaveEiJhp+EeSJEmaeq7pKEmSpGl3HKVfuwk4o/OJzPxf4H+Xe1FEbOrYvS4zv9vHOU8FngfsAwRwZj8VliRJWuuc6ShJkqSpFRFzwHOr3TMy87oRnfqLwCXV9otHdE5JkqSp4UxHSZIk9SUitgaOAP4YOADYBbiOcoOazwInZuZlPZSzB/AK4AnAXSkzFX8E/Cvwgep7Cze9OSEzj1+mmCcBt6+21w/2E/UvM+cj4hOU+j82Iu6YmVeM6vySJEmTzpmOkiRJ6lm1fuIFwAeBQ4E7AdsCOwEPBF4NbIiIZ3cp5wnA94GXAfcC5oA7AA8H3gd8Adixhyo9ufo6D3y1v5+mtq9UX7ei/FtIkiSp4qCjJEmSehIROwPnAvevvvUl4FnAg4FDgHcDLeA2wIcj4mkrlLM/8ElgHWWw8FTKoN2DgKcCCfw+cFIP1XpU9fVHmfmr/n+qWjoHOR894nNLkiRNNC+vliRJUq/eBuxRbb8feHFmznc8/7mIOBP4DLAN8IGI+K/MvHZJOScB21Xbz8/MD3U8dz7wqYg4AXjdapWJiF076vPNvn+amjLzyoj4KXA3ysCrJEmSKs50lCRJUlcRsRuwcMn0xcCxSwYcAcjMzwPvrHZ3Bo5eUs4DgYOq3c8sGXDsdALQ7W7Se3dsX97l2GFZWMfxnhFh31qSJKlix0iSJEm9OJiydiPAhzLzhlWOfV/H9uOWPNe5v9KAI5nZBk7pUqc7dWz/ssuxw3J19XVbyg11JEmShIOOkiRJ6s3vdWyft9qBmXkp8Itqd/9VyvlGl3N2e/62HdujXs9xQedg57ox1UGSJGniOOgoSZKkXnTO4uvlUubLlnkdlEuuF1zZpYwrujx/U8f2XA91GobbdGy3xlQHSZKkieOgoyRJkqbVNR3b47q0ufO816x4lCRJ0hbGQUdJkiT14uqO7d17OH7hmKuXfL/zcuTdupRxxy7PX9KxvfNKBw3ZwnmvyszrxlQHSZKkieOgoyRJknrxnY7th692YETcDbhLtfvtVco5sMs5uz3/Y2Bztb1Pl2MbFxHbAHtVu/8z6vNLkiRNMgcdJUmS1ItzgBur7aMjYrtVjn1Jx/Znljz3nx3bR61UQETMAkeuVqHMbAHnV7sHVq8Zpf1ZXNPxqyM+tyRJ0kRz0FGSJEldZeZG4F+r3XsA71ruuIg4GHh5tftL4OQl5ZwPfK3aPTQinrvCKV8L7NdD1RYGNXcA7tvD8U06qGP70yM+tyRJ0kTbetwVkCRJ0tjsHhFH9XjsacArgMcCewAvioh9gfdRLnO+HfBk4BhgG2AeeGFmblqmrBcDXwe2A06OiEcBH6fcrfpulBmQT6HMHnxY9Zr5Fep1OvCGavtxwHd7/Hma8Ljq6y9wpqMkSdLvcNBRkiRpy7UP8KEej/1UZv4yIh4JJHB/4A+rx1LXUwYc/225gjLz2xHxNGA9sI4yyHjUksO+ArwUuKDa38wyMvP7EfE1yqzD5wLv6PHnqSUidgX+qNo9JTNvHsV5JUmSpoWXV0uSJKlnmXkxcADwfMolxZcDLeAaygDhm4B7ZeZHupTzH8C+wHuADcANlDtdn0eZLXkwv9tX/fUqxf1D9XX/iNi/v59oYIdTZnS2KLM9JUmS1GFmfn6lK1UkSZKk8YmII1lcE/LRmXnOCsdtBVwE3Bs4KTNfstxxDdZrhnJX7v2Af8nMFwzzfJIkSdPImY6SJEmaVAs3mbkB+OZKB1WXNr+22n1eRNx9yPV6BmXAcTNwwpDPJUmSNJUcdJQkSdLIRcTeXZ7/S+DR1e4nMvPa1Y7PzE8A5wLbAq9vpJLL12srFgca35KZPxvWuSRJkqaZN5KRJEnSOHw4IrYBzqDMYtxIuZv1vsCzgcdUx10DvKbHMl9YvfamiNg6M29qtsoA3BX4GHAz8H+HUL4kSdKa4JqOkiRJGrnqjtMP7XLY5cBhmfmNEVRJkiRJDXKmoyRJksbhpcCTgUcBewB3oFwa/Svgu8C/Ax/IzOvGVkNJkiQNzJmOkiRJkiRJkhrljWQkSZIkSZIkNcpBR0mSJEmSJEmNctBRkiRJkiRJUqMcdJQkSZIkSZLUKAcdJUmSJEmSJDXKQUdJkiRJkiRJjXLQUZIkSZIkSVKjHHSUJEmSJEmS1CgHHSVJkiRJkiQ1ykFHSZIkSZIkSY1y0FGSJEmSJElSoxx0lCRJkiRJktQoBx0lSZIkSZIkNcpBR0mSJEmSJEmN+v98cg3lqBqxHwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1500x1650 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### And now we plot!\n",
    "\n",
    "plt.figure(figsize=(10,11))\n",
    "\n",
    "# Iterating over the length of our Master Lists (they all have the same length)\n",
    "for i in range(len(logT_list)):\n",
    "    # This is just easier later when we apply a mask\n",
    "    logT_i, logL_i = logT_list[i], logL_list[i]\n",
    "    \n",
    "    # Plot L Vs T\n",
    "    plt.plot(logT_i, logL_i, alpha=0.1, c='k', lw=1)\n",
    "    \n",
    "    # We are also plotting where in the stellar evolution, our tracks produce the desired magnitudes\n",
    "    # These are the same conditions we had earlier \n",
    "    condition1 = (f435w_list[i]<F435W+F435W_err) & (f435w_list[i]>F435W-F435W_err)\n",
    "    condition2 = (f814w_list[i]<F814W+F814W_err) & (f814w_list[i]>F814W-F814W_err)\n",
    "    # Our mask is a combination of those two conditions\n",
    "    mask=condition1 & condition2\n",
    "    # We use a scatter plot to show the masked L and T combinations \n",
    "    plt.scatter(logT_i[mask], logL_i[mask], zorder=1000, c='coral', alpha=0.3)\n",
    "    \n",
    "# Just some limits - also flips the Temperature axis, to make this an HRD\n",
    "plt.xlim([5.5, 3.5])\n",
    "plt.ylim([3,6])\n",
    "\n",
    "#Labels\n",
    "plt.ylabel('Log(L)')\n",
    "plt.xlabel('Log(T)')\n",
    "\n",
    "plt.title('Evolutionary Tracks\\nz020, M1>6, within 0.5 mag of target\\nwith P between 30 and 60 days')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "**YOU'RE ALL SET!**\n",
    "\n",
    "I hope you found this tutorial useful. If you encountered any problems, or would like to make a suggestion, feel free to open an issue on `hoki` GitHub page [here](https://github.com/HeloiseS/hoki) or on the `hoki_tutorials` GitHub [there](https://github.com/HeloiseS/hoki_tutorials)."
   ]
  }
 ],
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    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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