bgbg/stackoverflow_jobs.ipynb

## stackoverflow_jobs.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:28.801553Z",
     "start_time": "2020-03-16T15:34:27.323238Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pylab as plt\n",
    "%matplotlib inline\n",
    "import matplotlib\n",
    "import seaborn as sns\n",
    "from IPython.display import *\n",
    "import datetime\n",
    "import time\n",
    "import pandas as pd\n",
    "import matplotlib.dates as mdates\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "import feedparser\n",
    "import pickle\n",
    "import glob\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:31.557502Z",
     "start_time": "2020-03-16T15:34:28.803791Z"
    }
   },
   "outputs": [],
   "source": [
    "rss_url = 'https://stackoverflow.com/jobs/feed'\n",
    "todays_feed = feedparser.parse(rss_url)\n",
    "today = datetime.date.strftime(datetime.date.today(), '%Y%m%d')\n",
    "todays_pickle = f'stackoverflowfeed{today}.pkl'\n",
    "pickle.dump(todays_feed, open(todays_pickle, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:31.561884Z",
     "start_time": "2020-03-16T15:34:31.559295Z"
    }
   },
   "outputs": [],
   "source": [
    "feed = todays_feed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:31.753710Z",
     "start_time": "2020-03-16T15:34:31.564805Z"
    }
   },
   "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>entry_date</th>\n",
       "      <th>python</th>\n",
       "      <th>django</th>\n",
       "      <th>graphql</th>\n",
       "      <th>react-native</th>\n",
       "      <th>amazon-web-services</th>\n",
       "      <th>ANY</th>\n",
       "      <th>c#</th>\n",
       "      <th>node.js</th>\n",
       "      <th>vue.js</th>\n",
       "      <th>...</th>\n",
       "      <th>middleware</th>\n",
       "      <th>active-directory</th>\n",
       "      <th>openldap</th>\n",
       "      <th>tcp-ip</th>\n",
       "      <th>dns</th>\n",
       "      <th>tls1.2</th>\n",
       "      <th>wlan</th>\n",
       "      <th>lan</th>\n",
       "      <th>routing</th>\n",
       "      <th>juniper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-03-15</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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",
       "      <td>567</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>568</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>569</td>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>570</td>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>571</td>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>572 rows × 449 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     entry_date  python  django  graphql  react-native  amazon-web-services  \\\n",
       "0    2020-03-09    True    True     True          True                 True   \n",
       "1    2020-02-21   False   False    False         False                False   \n",
       "2    2020-03-15   False   False    False         False                False   \n",
       "3    2020-02-25   False   False    False         False                False   \n",
       "4    2020-03-05   False   False    False         False                False   \n",
       "..          ...     ...     ...      ...           ...                  ...   \n",
       "567  2020-03-02   False   False    False         False                False   \n",
       "568  2020-03-12   False   False    False         False                False   \n",
       "569  2020-03-04   False   False    False         False                False   \n",
       "570  2020-02-17   False   False    False         False                False   \n",
       "571  2020-03-14   False   False    False         False                False   \n",
       "\n",
       "      ANY     c#  node.js  vue.js  ...  middleware  active-directory  \\\n",
       "0    True  False    False   False  ...       False             False   \n",
       "1    True   True     True    True  ...       False             False   \n",
       "2    True  False    False   False  ...       False             False   \n",
       "3    True  False     True   False  ...       False             False   \n",
       "4    True  False     True   False  ...       False             False   \n",
       "..    ...    ...      ...     ...  ...         ...               ...   \n",
       "567  True  False    False   False  ...       False             False   \n",
       "568  True  False    False   False  ...        True             False   \n",
       "569  True   True    False   False  ...       False             False   \n",
       "570  True  False    False   False  ...       False              True   \n",
       "571  True  False    False   False  ...       False             False   \n",
       "\n",
       "     openldap  tcp-ip    dns  tls1.2   wlan    lan  routing  juniper  \n",
       "0       False   False  False   False  False  False    False    False  \n",
       "1       False   False  False   False  False  False    False    False  \n",
       "2       False   False  False   False  False  False    False    False  \n",
       "3       False   False  False   False  False  False    False    False  \n",
       "4       False   False  False   False  False  False    False    False  \n",
       "..        ...     ...    ...     ...    ...    ...      ...      ...  \n",
       "567     False   False  False   False  False  False    False    False  \n",
       "568     False   False  False   False  False  False    False    False  \n",
       "569     False   False  False   False  False  False    False    False  \n",
       "570      True    True   True    True  False  False    False    False  \n",
       "571     False   False  False   False   True   True     True     True  \n",
       "\n",
       "[572 rows x 449 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feed_data = []\n",
    "tag_cols = {'ANY'}\n",
    "for entry in feed['entries']:\n",
    "    curr = {\n",
    "#         'entry_id': entry['id'],\n",
    "        'entry_date': entry['published'],\n",
    "    }\n",
    "    for t in entry.get('tags', []):\n",
    "        tag = t['term']\n",
    "        tag_cols.add(tag)\n",
    "        curr[tag] = True\n",
    "    curr['ANY'] = True\n",
    "    feed_data.append(curr)\n",
    "feed_data = pd.DataFrame(feed_data).fillna(False)\n",
    "feed_data['entry_date'] = pd.to_datetime(feed_data.entry_date).dt.date\n",
    "feed_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:31.762635Z",
     "start_time": "2020-03-16T15:34:31.755825Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ANY', 'java', 'python', 'javascript', 'amazon-web-services']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tag_abundance = feed_data[tag_cols].mean(axis=0).sort_values(ascending=False)\n",
    "tags_to_take = tag_abundance.head(5).index.to_list()\n",
    "tags_to_take"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:31.781249Z",
     "start_time": "2020-03-16T15:34:31.764773Z"
    }
   },
   "outputs": [],
   "source": [
    "tall = feed_data.melt(value_vars= tags_to_take, id_vars=['entry_date'], var_name='tag')\n",
    "tall = tall.groupby(['entry_date', 'tag'])['value'].sum().astype(int).reset_index().rename(columns={'value': 'posts'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:31.791512Z",
     "start_time": "2020-03-16T15:34:31.784424Z"
    }
   },
   "outputs": [],
   "source": [
    "weekly_locator = mdates.WeekdayLocator(6)\n",
    "formatter = mdates.DateFormatter('%b %d') #mdates.AutoDateFormatter(weekly_locator)\n",
    "def plot_tag(tall, tag, ax=None):\n",
    "    if ax is None:\n",
    "        fig, ax = plt.subplots(figsize=(8, 3), dpi=120)\n",
    "    tmp = tall.loc[tall.tag == tag]\n",
    "    ax.plot(tmp.entry_date, tmp.posts, '-o')\n",
    "    ax.xaxis.set_major_locator(weekly_locator)\n",
    "\n",
    "    ax.xaxis.set_major_locator(weekly_locator)\n",
    "    ax.xaxis.set_major_formatter(formatter)\n",
    "    mn = 0; mx = tmp.posts.max()\n",
    "    last = int(tmp.posts.iloc[-1])\n",
    "    if last < 2:\n",
    "        mn = last\n",
    "    ax.set_yticks([mn, last, mx])\n",
    "    ax.yaxis.tick_right()\n",
    "    ax.yaxis.set_label_position(\"right\")\n",
    "    sns.despine(ax=ax, left=True, right=False)\n",
    "    ax.set_xlim(tmp.entry_date.min()-datetime.timedelta(1), tmp.entry_date.max())\n",
    "    ax.set_title(tag, x=0, ha='left', va='top')\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-16T15:34:32.077371Z",
     "start_time": "2020-03-16T15:34:31.793391Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmoAAAPGCAYAAABTe7ZeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAASdAAAEnQB3mYfeAAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAIABJREFUeJzs3Xd8U/e9//HXV54YGzNsNthgZoAwMyCLQPZsVps0zWgzCr1Jevtr723TcW9zmzTtbZu2aRsym5DZ3jS7STMIkJAASdgrLIPZ4IFtbOMhS9/fH0cSxnjItiRL1vv5ePgBlo6OzpFkn4+/38/38zHWWkREREQk+rg6+wBEREREpGkK1ERERESilAI1ERERkSilQE1EREQkSilQExEREYlSCtREREREopQCNREREZEopUBNREREJEopUBMRERGJUgrURERERKKUAjURERGRKKVATURERCRKhSVQM8b8xBhjfV+jm9nm1gbb/G8z28z03f+87/uhxphSY0y5MSa3hed/2Pe434XifEREREQ6Q8gDNWOMAW4DrO+mO4J42D3GmJzWNrLW7gb+DegBPGeMOeH4jTHnA3cB64EfB3vcIiIiItEmHCNqFwDDgPnAIeAWY0xyC9tvB1KAXwazc2vti8BLwJnAjxreZ4zpDTwD1AE3Wmtr23rwIiIiItEiHIGafwTtCeAFIAu4qoXt/w9YDdxgjJkW5HN8B9gN/NwYM7XB7fOAgcC91tr1bTpqERERkSgT0kDNGNMPuALYaq1dCjztu+vOFh5mgR8ABvhtMM9jrS0DbgESgBeMMWnGmJuArwILgD+07wxEREREokeoR9S+CSThTD9ird0ArALONcaMaO5B1tqFwNvAOcaYK4J5ImvtYuB3wGicgPBPwGHgVmutbeGhIiIiIjEhZIGabxHB7YAXeLbBXc/gjJbd3sou/hPwAL82xiQG+bQ/BdbgjKRlAnOstfvacNgiIiIiUSuUI2qzgDzgg0bB0os4yf23GmOSmnuwtXYT8BQwhpanShs+po5jKzs/t9a+3J4DFxERka7PGJNqjBlnjEnt7GMJVigCNQvYr371qwsAXnrppQv9twHWWlt8zTXXJAP9Xn755Tr/7U8//fTTAD/5yU9+4r/t4MGDd6anp9O3b9+/VFRU2EWLFi0CuPHGG29suM+GX4sWLXoH4Jxzzjm1uW30pS996Utf+tKXvjZs2FANbMAZWIoJIRlRKyoq4vXXXwfghhtuwBhz3Ncrr7wCwOOPP97ifvr168d//Md/UFhYyK9+9atQHJqIiLST2+NlWX4J7244wLL8Etweb2cfkkjcCTYXrEXz58+nrq6OqVOnMmnSpCa3efPNN1mwYAE7d+5k2LBhze7rBz/4AY899hi///3vGTt2bCgOT0RE2sDt8TJvcT7PLiuguLIucHt2ego3Tc9h7sw8khLUgVDigzFmEvAAMAHIBqqBLcBfrLXPN9jOtrCbLdbaMe15/pAEak8++SQAjzzyCKeeemqT2/zsZz/j/vvv58knn+SBBx5odl9paWn84he/4LbbbuO+++4LxeGJiEiQ3B4vdz67gkVbijCN7iuurOWhD7ayZk8Zj900VcGaxIuewB6cYvv7gO7AjTgdknKttff7tpvexGNPwykZ9lp7n7zDP2WLFy9my5YtTJgwodkgDeC2227DGMPTTz9NfX19i/u89dZbmTBhAtu3b+/o4YmISBvMW5zPoi1FgJPU05D/+4WbC3l0cX5Ej0uks1hrF1tr51hrn7fWLrLW/tNaewPwGQ0WP1prlzf+Aibh/Og81d7n73Cg9sQTTwBw++0tV9/Izc3lvPPO48CBA7z11lstH5TLxW9+85uOHpqIiLSB2+Pl2WUFJ4ykNWaAZ5ftUs6axLtioNmRJ2NMBnAd8JG1tt0jTyYEtWE7vAMREel8y/JLuOGJ5UFv/9IdpzM9r08Yj0gktDZu3Mj48eMBrgQaDwsXWWsLm3usMcaFM8DVCycA+yNwl7X2sWa2vwN4HPiGtfaF9h5zSHLUREQk9pVX17W+UQe2F4kibzRx233Az1t4zCPAt33/rwPuaS5I87kNKANeac8B+ilQExERADK7JYd1e5Eo0uSIWiuP+SXwJNAXuBz4szGmu7X2hD7lxphxOAsJ/mKtrenIgSpQExERAKbl9iIrPZmSyroWc1oMkJWewrTcXpE6NJFQy7fWbmzLA6y1u4Hdvm/fcTpn8qAxZr61tnGQd5vv3yc7dpihb8ouIiIxKinBxc3Tc1tNPLbAzdNzVJ5D4t3nOANewxveaIxJBm4CVlpr13T0SfRTJiIiAXNn5nHu6Owm7/OvBp01pi9zZsZMBx6RcDkX8AI7Gt1+BZBFB0pyNKSpTxERCUhKcDHnnOGBWmoNZaUnc/P0XOaoM4HEEWPM48ARnBG0QzhB2HXA14DfNDPtWQ28GIrnV6AmIiLH+XR7SeD/V00eyGur9wPw4h2nM7JfRmcdlkhnWQZ8E7gFp0tBJbAWuKlhCykAY8wQ4ALgeWtteSieXIGaiIgc56NtxQCMHdCD284cHgjU1u0tV6Amccda+zTwdJDb7gESQvn8GrsWEZGA0qo61u0tA+DsUVmM6Z9BtyTnurNqd2lnHppIXFKgJiIiAUu2F+NvWHPOqGwSE1xMHJIJwKrdZZ14ZCLxSYGaiIgEfLzVyYtOS05gWk5vAKYMdeqlbTl4hMraZlsbikgYKFATEREArLWBQG1GXh+SE51LhD9Q81pYu0ejaiKRpEBNREQA2HywgsKKWgDOHnWsltrkoT0D/1+1S3lqIpGkQE1ERAD4aOuxclBnjzwWqPVJTyG3TxqgBQUikaZATUREgGP5aTl90sjN6n7cff7pz9V7yrC2tSZTIhIqCtRERISq2npWFDijZQ1H0/wm5ziBWtlRNzuKqyJ6bCLxTIGaiIiwfEcJdR4v4JTlaGyqb0QNlKcmEkkK1EREJDDtmZRgmJ7X54T7R/fPoHuyCt+KRJoCNRERCSwkmJbTm+4pJ3YXTHAZJg5xVn+u2qUSHSKRokBNRCTO7SqpoqDkKHB8WY7G/AsKthZWcKTGHZFjE4l3CtREROLcxw3KcjSVn+Y3JccZUbMqfCsSMQrURETi3EdbiwHIzkhh7ICMZrebPKThggIFaiKRoEBNRCSO1dV7WZbvBGpnj8zGGNPstr26JzM826mvpgUFIpGhQE1EJI6t3FVKVZ0HgLNHZbW6vT9PbdXuUrxeFb4VCTcFaiIicezjbU5+mjFwVhOFbhvzB2oVNfXkF1WG9dhERIGaiEhc+2iLE6idPCiT3t2TW93ev6AANP0pEgkK1ERE4lRhRQ2bDhwBWi7L0dDIvhmk++qsaUGBSPgpUBMRiVNLfKs9oeWyHA0luAyT/IVvNaImEnYK1ERE4pQ/Py0jNTEQfAVjylBn222FlZRXq/CtSDgpUBMRiUNer2XJNmdE7cwRWSQmBH85mJJzrJ7aao2qiYSVAjURkTi0YX85h6vqgODz0/yOK3y7W3lqIuF0YuddERFpE7fHy4qCUsqr68jslsy03F4ktWGEqjP4V3tC2wO1zLQkRvRNZ3thZVyPqMXi+x6MrnpesUqBmohIO7k9XuYtzufZZQUUV9YFbs9OT+Gm6TnMnZkXtRc4f37aiL7pDOrZrc2PnzK0J9sLK1mzuwyv1+JyNd/RoKuJ5fe9JV31vGKdXnERkXZwe7zc+ewKHvpgKyUNLmoAxZW1PPTBVr793ErcHm8nHWHzjtS4A1OWwa72bCxQ+La2nm2F8VP4Npbf95Z01fPqChSoiYi0w7zF+SzyTR82bqTk/37h5kIeXZwf0eMKxtLtxXh87Z/aOu3p13BBQTyV6Yjl970lXfW8ugIFaiIibeT2eHl2WQGtTfYZ4Nllu6JuFOIjX/20lEQXpw3r3a59jMhOJyPVX/g2PgK1aH/f3R4vy/JLeHfDAZbllwT9/NF+XvFOOWoiIm20oqD0uBye5ligqLKWFQWlTM/rE/4DC4K1lo+3OiMnpw3vQ2pSQrv243IZJg/txcdbi1gZJyNq0fq+tze37EiNmzW7y3hjzb6oPC9xKFATEWmj8urWL2od2T6c8ouq2FdWDcDZI7M6tK8pQ3vy8dYidhRVUXa0jp5prfcKjWXR+L77c8sWbSk6YUTMn1u2Zk8Zj35jCntKq1m1q5RVu0tZtauMrYUV2MbznEGIps9zPFCgJiLSRpnd2haQtHX7cPpo67GyHDNHty8/zc+/oABg9e4yzh3Tt0P7i3bR+L4Hm1t28n3vU+MOzZRlNH2e44ECNRFpleoqHW9abi+y0pNbnS4yQFZ6CtNye7W4XST5pz0HZqaSl53eoX1NGtoTY8BaZ0FBVw/Uou19b5hb1trAWMMgLS05gUlDejJlaC+m5vRi3MAeXPLwEkoq61rdT3Z6clR9nuOBAjURaZbqKjUtKcHFzdNzeeiDrS1uZ4GbpudEzWtU4/bw2c4SAM4ZnY0xHat91iM1iZF909l6qDIuVn4mJbi46fQcfr9gW4vbWeDmCLzvwebM+X3rjFyumTqY0f0yTmgZFsznGSA7I6XNxykdEx2/PUQk6qiuUstuOHUIwdR4rfe0IwkoTD7feTgwsnL2yI5Ne/r5pz/X7C4LlPzoysYMyGh1mxl5fZgzMy/sx9LWXLFTh/Vm3MDMJvu6zp2ZxyzfiGjjj3XD7zcdqOBbz3xBZW19G49W2kuBmog0SXWVWvZ/K/bij0syuyUdd1+f7smB0hUPL9zG37/YHenDa5J/2jPBZZgxomMLCfz89dSq6jxsOVgRkn1GK2stf1nkfN6TE1z0SW86Vys50UViBDo1hDJnLinBxWM3TeX7548iK/34UbOs9BTmnjOckwf1AGDJtmJueHw5RRW1bT9oaTNNfYrICYLNffHXVZoTZ1OgdfVe5i8tAGBM/wzevOsMVu4qOy6Hb/fho1wzbyllR938+LUNZGekMGtMv049bv9CgslDep4QXLZXwwUFq3aXctLAHiHZbzRavKWIdXvLAZhzznDunj3yuNzNv6/Yzeur97N4SxH/XHeAyycODOvxTMvtRc+0JMqOulvcLticuaQEF3fPHsmcmXlN5qQeravn315YxaItRazfV861jy5l/jdPJTerewjPShqLn9+sIhI0f+5LaxNZDesqxZO31u6n0DeacPtZw0lOTGB6Xh8uGj+A6Xl9SEpwkZedzlO3nEJKoguP1/KdF1Z1agPz/WXVgVZP7W0b1ZThWd0DQV9XzlOz1vKHD53ctPSURL515jCSElzHve//ddk4end3Rq3ue2sjZUfDW8airt7bapFaaHvOXOPz8j8uLTmRx2+exnVTBwOwq8T5Y2Td3rJ2noEEQ4GaiJwgGutFRQtrLU9+shNwEqsvnzig2W2n5vTiz1+fgss4q+5um7+CHUWd0xfz4wZlOdrbNqopTuHbnoBToqOr+mhrEWv3OOd364zcJmvG9e6ezH9ffhIAxZV1PPD2l2E7HmstP319A6UNRtOayy2bNaZvyHLmkhJc/O+1J3PXuSMAKKmq4/rHl7N4S2FI9i8nUqAmIieIxnpR0WJpfglfHjgCOBfslMSWK/uff1I/7v/KBAAOV9Vxy9OfU1hRE/bjbOzjbU6g1istifGDMkO6b//0587iKg5Xdb2g3VrLH32jad2TE7jtzGHNbnvFxIGBEcuXV+5l6fbisBzTyyv38trqfQBMz+vN985rOrfs++eP4rGbpoY0NcEYww8uHM0vrhyHMXC0zsPt81fwysq9IXsOOUY5aiJygmirFxVNnlyyA4DUJBdfP3VoUI/5+mlDOXikhoc/3Maew9V865kv+Nud00lPicyv4HqPlyXbnIDhrJHZJIQ40f34wrelzB7bubl4obZkW3FgtPCWGbn06t78HybGGO7/yngu+P3HVLs93Pvaet7797Pb3aqrKdsOVfBfb2wAnJ+/P14/mb4ZqXzn3KZzy8Llpum5ZGekcM/f1lBX7+X7L6/lUEUNc8/JwxgTsvqL8V7HUYGaiJwgKcHFNVMG89jHO1rcLlL1oqLF9sKKwErYa6cObvGC3dj3zhvJofIa/r5iDxv2HWHu8yt56pZTSE4M/2u3dm8ZFTVOOYVQTnv6TRySicuA18LKXV0rUGs4mpaWnMDtZw1v9TFDeqc5I07/3MSukqP88cNt/PCiMSE5nuo6D//24ipq3F6MgT9eP4m+GanAsdyySLpo/ACevy2F2+d/wZGaev733S0cKK2mT0YKzy/f1aH6i6rj6Oj6Zygi7dLaSjKAM0ZEpl5UtHjKl5tmDHzrjOanv5pijOGBq8Zzrq9t05JtxfzolXXY9jRbbKOPth6bfutof8+mZKQmMaqfU1+sqy0o+HR7CSt3Oed08/TcwGKB1tw6I5eJg50p5sc/3sHG/eUhOZ6fv7mRrYecPMe7zx3BGSEqs9IRpw7rzT/mzmBAphMwPvfZbv6wYFuH6i+qjuMxCtRE5ARbDlbw8so9AORmpZGd3nQ18h6pSXHxFy1ASWUtr6xycoJmj+nH8Ha0X0pMcPGXG6cwcYiTfP/q6n3873tbQnqcTfGX5Rg7oAd9e6SG5Tn89dTW7imnvotcPJ3RNKdaf7ekBO44K/jgPMFlePDqk0lwGTxey72vru9wQeDXV+/j7yucn8tTh/XmntkjO7S/UBrVL4NXvzODPg0C2Y7UX1Qdx2M09SkiJ3jwX1/iteAy8PhN0xiW1f24HJH5y3by7oZD/GvDQRZsOsR5J3Wdqa7mPL98N3X1TgByexsu2I2lJSfy11umce2jy9hZXMW8xfn075HKLTNyw5KLU1pVFyifEMqyHI1NGdqLFz/bTbXbw+aDFSFfsNAZluWX8EWBfzQthz7N/MHSnJMG9uDOs4czb3E+6/aW8/SnO4OaOm3KjqJKfvzaesBZXfrw9ZOb7DDQmRovZmjJox/lk+AyTeZLeryWRz9qPQCLlzqOCtRE5DhLthWx2PeX7PWnDg1MaTXMfcnL7s6n20uoqKnnZ29s4LThvclIDU0B1WhU4/bw3PICACYMyuS0Yb07tL8+6SnM/+apXD3vU4or6/jvNzeyouAwy3aUhDwXZ8n2Yvyzq2ePCt802RRfiQ5wFhR0hUDNXzetW1ICd5zdvgDru7NH8q/1BygoOcrv3t/KheP6M6R3Wpv2UeP28G8vruZonQeAh746kf6Z4RkZ7YgVBaWUBLnqt6rO0+HR5IZ1HCOdmxdJXTcEFZE283htoPZT9+QEvnfeqCa369sjlR9fMhaAA+U1/CYC03ed6Y01+wIB1O1nDetwM3OAoX3SePrWU0lLcn4Nv7XuwAmrbEORi+Ovn5aWnMC0nI4FmC0ZltWdXmn+wrexX09tWX4Jn+88DMA3Th/aptGihlKTEvjl1U55lmq3h5+8vqHNeYn3v70pUBJmzjl5zBzdt13HEm6dVU+xq9dxVKAmIgH/WLmHzb5+jd85dwTZGc1fnL42bUhgZOm55bsCCdddjbWWJ5c4iwgGZKZyyYTmC9y21YTBmVzUwv46motjrQ0EajPy+oR1hakxhsm+Mh1d4bPgz01LTXJx59kdWzAzIy+Lr05zqvl/vLWIN9bsD/qx/1y3n+eXO71ip+b04vsXNP3HUzRoaz3FZ755Cpv+58ITvp755ilhfd5Yo0BNRACoqq3nt+87F6eBmaktFvUEpyL9g1dPIDnRhbVw76vrAjlcXclHW4sCrZdunZEb0lwYt8d7XMeA5vhzcdo6qrb5YEWg1VU489P8pvoWFOw+fJTiytht2P3ZjhKW73BG0248LafFP1iC9eNLxgZG5f7nn5uCKgy8q6SKH73i5KVldkvi4RsmR3Uulr/+YmvjzQZnWv+MEVmkJSee8HXGiKw27aer13GM3ndcRCLqsY93UOS7qP/HRaODKtA5PDude2Y5rWS2HqoMKgE41vhLcqQlJ3B9kAVug+Xvqdqa9vZU/ShMbaOaM7lBntqqGB5V89dNS0l08e1z2peb1ljPtGR+foXTXupwVR33/3NTi9vX1nu468XVVNY69e9+e91EBvXsFpJjCZekBBc3T88NqkdwS/UXQ7WfrqJrn52IBOVgeQ2Pf+wEWRMGZXLlxEFBP/bOs/MY099ZcPDnhdvZXlgRlmPsDJsPHglU9P/qtCGB5uOhEu6eqv7Rupw+aeT06d6mx7bHxME98S/ii9U8tS8KDrM0vwRwOkr4i8mGwqUTBjB7jJNf9urqfS2Opj74zmbW73Nqr9125jDOj5GV1XNn5jHLd44d6T3a0n78QtnDNJopUBMRfvv+FmrczrTaTy4di6sNLYaSE108ePUEjIE6j5d7X12Pt4P1oqKFPzfN1Y4Ct8Foa27N5zsPU+1b+deaqtr6wAhcJKY9AbqnJDKmfw8gdgvf/nGBM5qWnOhizjmhDQKMMfziK+PpnuyMVv/k9fUcras/Ybv3Nh7kmaUFAEwcnBmyrgaRkJTg4rGbpvL98zvWe7Sl/YDzx0eoe5hGK5XnEIlzG/eX88oqp5ny+Sf14/ThbV/mPnloL26ZnsszSwv4oqCUl77YzY2n5YT6UCOq8EgNb6xxCtxeOK4/Q/u0raRCMPw5PSWVda1O8wD89dMCXl29j2+clsPNM3KaHe1xe7w8s3Qndb6cthkRLF0wJacnmw4cYd3eMtweb0xdSFfuOswnvibqXz91KP3CUBx4YM9u/OdFY/jvNzey53A1f1iwjf+4cHSgfl5dvZef+OqlZaQm8uevT4lIm7FQSkpwcffskcyZ2bHeo03t57XV+3hv4yF2lRxl3d7yQF5kV6ZATSSOWeuU47AWEl2Gey9u/1/uP7hwNB9sOsS+smp+9c5mZo/pF5W1noL13PJduD1O+NSRArct8efiPPTB1la37ZGayJGaesqOuvnzou08/vEOrpg0kNvPGhYYxWquN+JPX9/A1kOVEemNOGVoL55fvpsat5cvDxzh5ME9W39QlPiDfzQtIfSjaQ194/QcXl+zj9W7y3ji4x383xd7KKs+sWXbg1dNaHPNtWgSqt6jDfczaUgvFm0uos7j5Y8fbuPZb53a4f1Hu9gK00UkpBZtKQzk43zj9Jx2tUXyS09J5P6vjAegorae/35zQ0iOsTNU13l4fvkuwEmQnxrG+mPB5vR89uPZPHLjlEDCfp3Hyz9W7uWiPyzhpqc+48PNh5rtjVhSWRex3ogNRzhiaUHBqt2lgXzE608dEtY/MhJchvuvHI/BSYhvKkgDJ48tHnpZtkX/zFSuP3UI4ORgro7RKfa2UKAmEqfqPV5++c5mwJliCUXfwHPH9OXyiQMBeG/jId7dcKDD++wMr6zaS6mvKf3tZ4Zm1V9zgs3p6ZacyCUTBvDad87glbnTuXh8/0Di/pJtxdz2zIqo6I04tHdaoN9jLC0o+GOD0bS5EUhQ/3BzYavT3fHSy7Kt5s7MI9k3MuxfoduVaepTJE699MUetvvqg909awS9u4emaOR/XXYSH28torzazX+9sZHpeVkhXy0ZTl6v5a++khyDenbjwnHhX23X1pyeqTm9mZrTm10lVTz9aQF//2I31e7WR14i0RvRX/h2wZeHYmZBwZo9ZYFSJl89ZTADMsNbBsPt8fLssoLAiFpz4qWXZVsNyOzGV08ZzPPLd7N4SxFr9pQxaUjsTLG3ld55kThUUePmD768qCG9u3HLjNyQ7Ts7I4WfXuq0lyqsqOXX724O2b4jYdGWQnYUVwHwrTOHRbTxtT8X56LxA5ie16fVi3NOn+78/Ipx/OmGKUHtv7312NpqSo5z0dxbWk1hRU1YnysU/rjA+VlISjDMnTki7M/nr58XTJ2wSLxfsWjuzBEkJThDyg938VE1BWoiceiRxfmB5sk/vGgMKYmtF7dti2unDuaMEU7y74uf7Q70TIwFTyzZAUBGSmKg7U+0q/e2LY8p3L0RpwxtmKcW3dOfa/eUBaaMr5s2JCJFZcNdPy8eDOrZjeumOblqCzcXsm5vdH/OOkKBmkic2Vt6NFBtf/LQnlwawt6VfsYYHvjKBFJ8ZQXufXUdNe7g6n91pg37ygOtg64/dQgZqbExZdvWemzh7o148uBMEnwJdNE+/ekfjUlKMHwnQsVTo+39ilXfmZkXF6NqXSZQc3u8LMsv4d0NB1iWX6KVMiLN+M17WwI9OX966ViMCb64bVvkZnXne+c7DaTzi6p4ZNH2qP859QewCS7DrWEocBsube2xGO7eiGnJiYwd4HSrCOXKz1B9fvz7eeyjfD7cXAg4o8CDe0WmFEa0vV+xanCvNK6d6ox6L/iykA2+Tg5dTcwvJmiublB2ego3Tc+JSN0gkVixZk8Zb6zZDzjtbMJZdgLg9jOH8eaa/Ww6cIQ/L9rOc8t3BVZTQnT9nB4or+attc5rc8mEAVHfV7GhYOuxRbI34tShvdiw7wjr9pVTV+/tUNHWUP2eb24/4ASXkSrQG43vV6z6zswRvLxiL/Veyx8/3MYTN0/r7EMKuZh+990eb7N1g4orayNWN0gkFjjFbZ1G0MkJroi0pUlMcPGAr7aa13JckAbR9XM6f+ku6n2tr247M3ZG0/xC1WMxVKb46qnV1XvZdOBIu/cTqt/zLe0HnNHUSH4Oo+39ilVDeqdxzRRnVO2DTYfYuL/rjarFdKA2b3F+VNQNEokF7208yBe+1WO3zMgJS0ukpizxteRpSrT8nFbV1vPiZ06B21Nye8XkUv9Q9VgMleMXFLR/+jNUv+db2o9fJD+H0fZ+xbJ/O3dEICeyK+aqxezUZ7zUoXF7vB3qlSaxKVTvu38/xZW13O8bTeuZlsRd53a8uG2wzx/NP6f+1+e11Xs5UuM0x779rPAWuA2nUPVYDIXBvbqRlZ5CcWUtq3aX8i3aPkoZ7OcHnNW6I/ulk+g68TzrvV6e9K3mbUmkP4fR9H7FsqF90rh68iBeXrmX9zYe4ssDRxg7oEdnH1bIxGyg5q9D05qGdWhC0XMsUpR7F58ikYszaUhP0lJCW46jOdH6c9rc6+My8OWBI8wa0zemf75C1WOxI4wxTBnak/c3HWr3iFqwnx+AIzX1zHl+Vbuex6+zrhf0559kAAAgAElEQVTR8H7FurtmjeDV1fvweC0Pf7iNed+Y2tmHFDIx+5uoK9ehUe5dfIpULs7iLUUR+/xE489pS6+P1zqNufXzFRr+PLX95TUcLG974dv1+zqnNlYsXS/EkdOnO1+ZNAiAf204yOaD7c+LjDYxG6h15To0yr2LT10xFycaf06j6fXp6o5r0B5kPTWv17JocyFff2J5oBdtsH75lfG8ddeZJ3z90regJVixdL2QY+6aNSLQ//ZPH27v3IMJoZid+vTXoSkJog1HLNWhifacHgmPtuTiPPnJTsYP7tF8Ls4n0ZOLE+zPqcFJoA73z6l+viJrwqBMEl2Geq/ln2v34zI0m4NV4/bw2up9PPXJzkAP2mD5Pz/XnTKkyfdrzIAMHlqwNWo+hxIew7KcUbVXV+/jnQ0H2HqoglH9Mjr7sDosZgO1YOvQADGVmBmtOT0SXm3JxSmvdvPNp1d06Pki9fmJtnpR+vmKrASXISs9mYNHanlnw0He2XAQOD7nsrzazXPLdvH88l2BtmYA3ZMTuP7UocCxQsTNae3zE22fQwmfu2aN4PU1+/BaZwXon78eXB/caBazgRo4dWj+sXIvuw8fbXG7f204yLzF+cw5Z3jYqrCHSjTm9Ej4dVY+RSQ+P3Nn5rFmTxkLNxc2O5IVqXpR+vmKHH8u4MEjtSfc58+5/NvnuymqrMXtOfapGJCZyjfPyOX6U4fSIzUJt8fLzuKqJj8//u+D+fy09Dlsy34kug3PTueKiQN5fc1+3l5/gO8eqmBkjI+qxXSg5jKGGrezpN4/vO6XnZ7CuWOyeWf9ASprPfz63c0cOlLDf112Ei5X9AZr0ZjTI+FhrWVZfglPLNkRyJkK1s8vP4nxgzJPuH3DvnJ+/tamoPcTic+Pv17Uo4vzeXbZLooqj124uycnMOecvIhNMernK3Ia5gI25v9Nvb/BAoMJgzK5/axhXDJhwHGfhZY+P1npKdw8PSeoz0+o9iPR765ZI3lj7X6shT8t3M7DN0zu7EPqEGNtaxkxrerwDtrro61F3PLXzwG4/yvjyctOP6EOzeaDR7j1r19w8IjzC+HSCQP43VcnkpoUmfIEbeX2eJn+4IdBTc+kJSew4qfnkZYc0/F2lxJM/bO6ei//XLefJ5fsbHPFdn8OzdJ7ZzV5QfF/foLNxWluP+HivD6Hueel1RRV1jEttxf/mDMjos8fza9PVxHs6wxOl4y/fnMaZ+RltTrjEer6gqpb1nXd89Jq3ly7H2Pgg++dw4i+6QBs3LiR8ePHA4y31m7s1IMMUkxf4V9ZuReAlEQXV0waSI/UpBO2GdO/B69+Zwa3/PVzthVW8vb6AxRX1vL4zdPI7Hbi9p0tKcHFrDH9+L8Ve1rd9midh+seXcZvr5vYpYr7xaJg6p8drfXw4ue7eWbpTg41mA5KTXJxzZTBJCe4eHppQYvPE+u5OE69qCwunziIv366k9W7yyg7WkfPtMiMXEX769NVtCXnss7jJcG4gkpLCVW9MdUt6/rumT2Ct9Y5o2p/XriNP1wfu6NqMftb6EiNm/c2OompF47r32SQ5jewZzdenjOdU3wreT7beZivPbasXXV9wq3G7eGLgpJm7/f/KuvuK1i6cf8RrvjzJ/x54TbqVfepUwRT/+zc3y7m9AcX+KbgnSDN3yZm6Y9m88BVE/jxpWND0vsvFnoIzh7rHJ/Ha/loa9umfTtq7sw8JjfTIipaXp9Yp1xA6Wwj+mZw6YQBALy5dj87itq2kjiaxGyg9s66A9TWO4HJNVMHt7p9z7RknrvtNC4c1w+AzQcruPqRT9leWBHW42yrRxZtZ2exszjirJFZZDfTA+6zH8/mLl9/M7fH8tv3t3L1vKVsPRRd5xMPgql/tre0mmq383kd3S+D/732ZD790bncPXskvbs7o0mh6v0XCz0ET8ntTXqKM6D/4ZeFEX3upAQX4wc2PQIdLa9PrFMuoESDe2aPxBinkPWfF8ZuXbWYzVG7dt5SVuwqpV+PFJb+aHagIWtrPF7Lf7+5geeX7wYgs1sSf711GlNzegOdm7uw9VAFlz68BLfHctKAHrx51xlYaPF41u4p4wcvr2Wbr+5QcoKL750/ijvOGkZig+2UkxEebcnFSUowPHrTVGaN7qtcHOA7L6zknfUH6ZGayKqfnX/c5zWcvF7LjF8t5OCRGmbk9eHuWSOj8vWJZcoFlGjxby+s4u31B3AZeO/fz+bzVev4xiVngnLUwquguIoVvt5xX5k8KOggDZy6Pr+4cjz9e6Ty2/e3Ul7t5utPfMbvvzaJ7YWVndZb0+O1/PCVdbg9FpeBX19zcuDC1VIuxcQhPXnr7jP5w4JtPP5xPnUeL79+dzPvbTzIb6+bSE6fNPUMDaO25OK4PZa0pETl4vjMHtOPd9Yf5EhNPSt3lXLa8Mgc59q9ZYHFRRdPGBC1r08sUy6gRIu7Z4/g7fUH8Fq47E+fUHGg5Zp8zTHGZAA/AyYBk4Es4D5r7c8bbfcMcEsTu9hirR3TnueOyUDt1VV7A/+/dkrr056NGWO4a9ZI+makcu9r66mt9/KdF5xmvo0vof4cozV7ysI6HfL88l2s3u30tbvtzGFMGHxi6YXmpCYl8KOLx3DBuH784OW17CiqYs2eMi7+48cM7Z1GflFVp51XV1dQ0ra8B+XiHDNzdDbGgLVOy6ZIBWrvbTwU+P8FJ/WLyHPGI9Utk2iQl51OdnoKRZW1gXSpduoD3AmsBV4Hbm9h22pgVhO3tUvMXZ29Xssrq/YBMHFwZocK2X31lCE8cfNUEhuMyHVGb839ZdX877tOT7vBvbrxvfNHtWs/U4b24p17zuKOs4ZhjDOCk19UBahnaKht2FfOd/+2mp+8tqFNj1MuzjF90lMCSf0fbo5Mnpq1NrAIacrQnvTrkRqR541HsZArKV3fvMX5x9XM64BdQC9r7TnAva1s67XWLm/0tba9TxxzI2rLd5awr8wJTINZRNCas0Zm0z0lkfJqd4vbhav3n7WWn72+gao6DwC/vGpCh+qipSYl8JNLT2L2mL58/cnP8LaSOKWeho5gcrm8XsvCzYU8+ckOlu843Kb9q4dg02aP7ceq3WVsL6xkV0kVOX26h/X5thVWsrPY+ePlovH9w/pc4gRrd88eyZyZeVGbKyldV1t6KLfGhiChv71iLlB7ZaUzmpaUYLj85IEd3p/zy6PlIA3C1/vv7fUHAqMJV00exNmjskOyX4tpNUhztovvnobB1D+r91heXb2Xpz7ZyQ7fCCU4+Y6XThhAemoiL362u8XnUS5O02aP7ctv3tsCOKs/v3XmsLA+37u+XpPglPWRyIjmXEnpulrJIc5rIl+4yFobiuH9bsaYg0A2cABnqvS/rLVt+wvfJ6YCtaraev614QAA543tR6/uHZ9G6sx6P+VH3fz8TafdT+/uyfzsspNCt2/VMWqVv/7Zoi1FzebwvbpqL2VH6yirrg/cl5GSyA2nDeWWGbkM6tkNt8fLwfIa5eK0w+h+GQzq2Y19ZdUs3By5QG1M/4ywj96JSOdq5br2RhO33Qf8vINPu9b35c+LOQf4HjDbGHOKtbbNBd1iKlB7d8NBjvqmCK9pxyKCpnRmvZ9fvvMlxb65859dNjZQTysUVMeodcHUPysoORq4bVDPbnzzjFy+dsoQMhoUWFYPwfYzxjBrTF+eW76Lz3aWUFHjPu61DaU9h48GWnZp2lOk62vlunYl0DhBu8PVt621v2900wfGmNXAP4A7gMb3tyqmArV/+FpG9emezDmjQzNFOC23F1npyUHVwcoOYY7R0vxi/u5rE3X2qGy+MmlQSPbr11nnFSvakruQ6DL87qsTuXTCgGZrfSkXp/1mjXUCNbfHsmRbMZf4qomHmn8RAWjaUyQetHIdzI9gHbXXgCrg9PY8OGauIHtLj7Jsh9Na6cpJg0J28fPX+wkmS3Dm6OyQPG+N28OPX10PQLekBB74yvigamu1RWecVyzx5y4E8/rUey19M1KDKsjqz8W5aLxTnyveXtf2mD68D92SnJZo4exS4J/2zOmTxpj+7V8tLiKxoS3XwQgwQLvqg8TMVeQ1X0kOgGtDsNqzoZZ6Ix53DKv38uba/R1+voc/3BaYUvv+BaMY0jutw/tsSqTPK5Yohy96pCYlcObILAAWbynEE8wqmDYqrKhh5W6nSPZF4/qH/A8jEYlOwV4Hw+xaIA1Y3p4Hx0SgZq3lFV+R27EDenBSM3362qulej/Z6SlcMqE/iS6o98I9L63mySU72v1cm/Yf4fGPncdPGJTJrTNyO3LoLWrtvC6dMCBk5xVrlMMXXWb7fpGWVNWxdm9ZyPf/waZD+BfXX6BpT5G40dJ1sK2MMRcbY64FLvfddJIx5lrfV5oxJscY86kx5m7fthcZYx4E5gMbgSfb87wxkaO2cldpYATqmimhzeXyay3H6NPtxXz7uZVU1tZz/9tfcuhIDfdePBZXG9pXebyWe19dR73XkuAy/OqaCWHvb9jaeS3dXsydHTyvWJTZLRGXr1lvS1T/LDLO9QVqAAu/LGTK0NC+3v5pz74Zx4rsikh8aHgd/L/3u/GNv7Z7V/OAnAbfX+f7AhgGlAOHgP8H9AMScArlPgz80lpbRTvExIiafzQtwWW4MsRJ9401l2N0xogs/v7t08nOcCLyJ5bs5Hv/t4a6NrSkeGZpAWv3lgNwx1nDGTcw+DZRHdXcec0IwXnFms93Hub6x5cHXWdO9c/Cr1+PVCYMcn4eFnx5qJWt26a82s2yfCe/9YJx/br8HyEi0rSkBBeThrb/DzVrba611jTzVWCtLbXWXm2tHWatTbPWplhrR1lrf2itLW/v80b91afG7eGfa53aaeeOzg4EFJ1h3MBMXp07g+HZTv2lN9bs51vPfEFFTesFc/eWHuV37zuFPXP6pPHv540M67G2RUfOK9a8u+EA33jqM47UOHXR8nzn3PjS7f9e9c8ix59HsvlgRaD7SCgs3HyIel9UftG48KwoFREJl6gP1N7beJCKWueiGqraaR0xpHca/5gzg0m+6ZNPthdz/ePLKayoafYx1lp++vqGQA24X141gVTfKrdo4T+vyUOPndfXHmv5vGLNs8sKmPvCKurqvU7Jjesm8u6/n61ehFHivLHHGqQvDGHvT/+0Z2a3JE4b3jtk+xURiYSoz1HzN2DP7JbErLF9W9k6Mnp3T+bFO07j7hdX8+HmQjbuP8I185Yy/5unMjw7HTi+d+SGfeUs9hVWvW7qYM4YkdWZh9+s3t2TefH207nrxVV8uLmQTQeOcPUjS3n2W02fV6zUCbPW8tv3t/CXRU5tw7TkBB65cQozRzufJ9U/iw7jBvagb0YKhRW1LPzyEDedntP6g1pRXefho63Oz97ssX31nopIzInqQO3QkRo+2eb8kr1y0kBSEqNnFCotOZHHbprKT17bwN9X7GHP4WqufXQZj31jCst2HD6hd6TzmAT+86LRnXPAQeqWnMBjN03lp69v4G9f7GFvaTXXzFvK4zdNbfK8GvbEjMaLoNvj5d5X1x9XLPnpb57CyYOPz1NQL8LO53I5XQr+9sUePs0v4WhdPWnJHfsV9dHWImrcTr7lRVrtKSIxKPqurA28tnpfIOE7GqY9G0tMcPGrayZwz2wn3+xwVR1fe3w5D32wlZImGsEerfPww1fW4/ZEd6J+YoKLB68+dl6lR93Nnpe/J+a3n1sZded1tK6eO55dEQjScvqk8crcGScEaRI9/HlqdfVePt1e0uH9ve/rRtAtKYGzR4Wmm4mISCRFbaBmrQ1cYEf0TefkwZFbIdkWxhj+3/mjeOCq8U7ZYV9g2dyCwoWbC3l0ceP2YtEn2PPyfx9t51VSWcsNjy8PTDmfPDiTV+bOIDdLjbij2Zkjs0hOdH4tLdzcsdWfdfXewArSmaOzoy4vVEQkGFEbqK3bW872QqfJ/DVTBkd9JfGvThtCRmrr0zQGeHbZrqgbfWpOtJ+X2+NlWX4J7244wLL8EtweL7tLjnLNvKWBUihnj8rmpTtO73CxQwm/tOREZvimoD/8shBr29+lYPmOksDqXjVhF5FYFbU5av7aaS4DV00Ob+20UFhRUBq4KLTEAkWVtawoKI2JnKhoPS+3x8u8xfkn5Mz1Skuitt4bWGF79ZRB/Pqak6Myf06aNntMXxZvKaKwopaN+48wflD7RtP9TdiTEsxxBXVFRGJJVF69aus9gd6TZ47Mpn9maicfUeu6au/IaDwvt8fLnc+uaDJnrvSoOxCk3Xn2cH533UQFaTGmYVDV3ibtHq/lvY3OtOeMvCx6pCaF5NhERCItKq9gC78spOyoU2w1XC2jQq2r9o6MxvOatzifRb7cs5YmxjJSEqN+ylxONLhXGmP6ZwDwYTvz1FbvLqW4shbQtKeIxLaoDNT8054ZKYlcGCNL6qfl9iIrPfmECveNGZySFrHSOzLazsvt8fLssoKgjieWcgHleP7Vn+v2llN4pO1Fl/3TnsbA+Sf1a2VrEZHoFXWBWnFlbWCl3mUTB8TMSq2kBBc3T89tcYQHYq93ZLSd14qCUoor64I6Hn/OnMSe2Q26FCza0rbpT2st7/oCtVNyemsRiYjEtKiLFt5Ysz/Qly8aa6e1ZO7MvMBIQFfqHdnSeflF6ryiMWdOQm/SkJ707u5Mo7c1T23TgSPsOez0Cr1Q054iEuOiLlDz107L7ZPG1JzYmB70S0pw8dhNU7tc78iWzgvg1NzeETuvaMyZk9BLcBlmjnYK1C7ZVkyN2xP0Y/2LCAAu0LSniMS4qCrPsWn/Eb48cASAq2OgdlpTkhJcXbJ3ZOPzKjtax0MfbGFbYRUb95dTWVNPr+7hD4r8OXON23M1ZnCC41jJBZQTzR7Tj1dX7aPa7WH5jpJAb9bWvOdrwj5+UA+G9E4L5yGKiIRdVEUO/kUE4NS/imX+3pEXjR/A9Lw+MR2kNeQ/r4snDOCnl40DoKrOw5Of7IjY8wfTrDvWcgHlRGeNyiLR5fyxtnBzcNOfO4ur2HKoAlBvTxHpGqLmKub2eHl99T4Apg/vw+Be+ks42p09MotJQ5y+mfOX7qLsaGTywUb0zWj2vljOBZTj9UhN4rThvYHguxT4V3sCMbNiXESkJVETqH20pYiSKudCf83U2FpEEK+MMXz3PKdxe2VtPU99sjPsz1lX7+U3720GIDXJRZ/046dbYzkXUE40a4yTY7avrJqthypb3f5d37Tn8OzujOibHtZjExGJhE7PUXN7vKwoKOUvi7YD0C3JxcVaqRUzZo7KZuLgTNbuLeeZTwu4/czhZKaFrwr888t3UVByFIAfXjSGb5ye06VyAeV4s8f05Rf/3ATAgi8PMbp/86OpB8trWLOnDHCmPWMxx1VEpLFOu6K5PV4e/nAb0x/8kBueWM5q3y9Yr4WnPtmpQqUxouGoWkVtPU99Gr5RtfKjbh5euA2AYVndufG0nC6bCyiO3KzuDM/uDrSep/b+Jk17ikjX0ylXtZZ6NdbWe3nog618+7mVCtZixLmj+3LyYKdx9tOf7qS82h2W5/nTwm2B1mI/ungMyYkKyuLBbF8Nv1W7Szlc1XwepH/ac0BmauDzKCIS6zrlShdMr8aFmwt5dHF+5A5K2s0Ywz2zfKNqNfU8HYZRtV0lVcxfVgDAqcN6qz5WHPF3KbAWFjfTpaC0qo7Pdh4GnNE0TXuKSFcR8UBNvRq7ptlj+zJ+UA8A/vrJTo7UhHZU7dfvbsbtccL6n146VhfiODI1pxc9Up102g+bmf5c8OUhPL6OJpr2FJGuJOKBmno1dk0NR9WO1NTzzKcFIdv3yl2HeWe9M6111eRBnDy4Z8j2LdEvKcHFOb5itx9vKaKu/sQ/3vxlOXp3T+YUFTkWkS4k4oGaejV2Xeef1I+TBjijak99spOKEIyqWWu5/+0vAUhJdPGDC0d3eJ8Se/x5ahW19awoOHzcfVW19Xy8rRiA88b2JVELSkSkC4n4bzT1auy6jDHcM9sZVSuvdjN/aUGH9/nPdQdYvdtZEXzbmcMY1LNbh/cpseecUdn4mhScMP25uMEo20Uq7SMiXUzEAzV/r8ZgctSy1asx5lxwUj/G+GpdPfnJTipr69u9rxq3h1+/6xS3zUpPZq46DcStXt2TmZbjdCloXKbjXd+0Z3pKIjPysiJ+bCIi4RTxQC0pwcXN03ODylFTr8bY43IZvusbVSs72rFRtflLC9hbWg3Av583iozU8BXSleg3a6wz/bmzuIr8IqdLQW29h0W+wG3m6GxSkxI67fhERMKhU6KguTPzmOXLOWk8sqZejbHvwnH9Gd3PN6q2ZAdV7RhVO1xVx5993SpG9k3n+lOGhPQYJfb489QAFn7pBGdLt5cERm017SkiXVGnBGpJCS4eu2kq3z9/FFnpKcfdp16Nsc/lOparVnrUzbPLdrV5H39csJWKGucC/ONLxipBXBjRN50hvZ0cxQ83HwKOFblNTnQxc3TfZh8rIhKrOq3XZ1KCi7tnj2TOzDz1auyCLh7fn1H90tl6qJInluzg5uk5dE8J7uOWX1TJC5/tBuDMEVnMHJ0dzkOVGGGMYfaYfjyztIDPdx7mg40HeXv9AQDOyOtDepCfLxGRWNLpEZF6NXZNLpfhbl9dtcNVdTy/PPhRtQff2Uy912KMM5qm4rbid85oZ7GA18Idz60MTHuuKCjl4Q+3qUC2iHQ5iookbC6ZMIARfdMBePzjHRytaz1XbVl+CQu+dKa1rps6mJMG9gjrMUrscHu8PPNp0wF/ZW29egSLSJekQE3CJsFluHvWCABKqup4YfnuFrf3ei0PvLMJgG5JCXz/AhW3lWPmLc7no61FTd7nX0WuHsEi0tUoUJOwuuzkgeRldwfgsY/zqa7zNLvt62v2sWHfEQDuPHs4/XqkRuQYJfqpR7CIxCsFahJWCQ1y1Yor63jhs6anrqrrPPzmvS0A9M1I4dvnDI/YMUr0U49gEYlXCtQk7C6fOJDhWf5RtR3UuE8cVXvqkx0cKK8B4AcXjCYtWSv45Bj1CBaReKVATcIuwWW4y5erVlRRy4ufHZ+rVlhRwzxfXtGY/hlcM3VwxI9Ropt6BItIvFKgJhFxxcSB5PZJA+DRj/KpqHGzLL+Edzcc4EevrKfKl7v200tPIsGlchxyPPUIFpF4pfkliYjEBBd3zRrJD15eS2FFLac/+CFVtcdPgQ7rk8Zpw3t30hFKNPP3CH7og60tbqcewSLS1ei3mUTMpRP60y3J+cg1DtIAdpYcVR0saZZ6BItIPFKgJhHzxJKdVLtbDsJUB0uaox7BIhKPjLWtLXhvVYd3IF2f2+Nl+oMfUtJKiQWDc9Fdeu8sXXClWW6PVz2CRaTNNm7cyPjx4wHGW2s3dvbxBEM5ahIR/jpYrWlYB2t6Xp/wH5jEJH+PYBGRrk5/gkpEqA6WiIhI2ylQk4hQHSwREZG2U6AmEaE6WCIiIm2nQE0iwl8HK5hejaqDJSIi0cQYk26M+YMxZr8xpsYYs8YYc30knltXQ4kY1cESEZEY9SpwC3AfcDHwBfCSMebr4X5ileeQiHJ7vDy6OJ9nl+2iqLI2cHt2ego3T89hzsw8jaaJiEhYtKc8hzHmEuBt4OvW2pca3P4+MA4Yaq09sYp7iChQk06hOlgiIhJp7QzUngCuB3pZa+sb3H4D8CJwhrV2aTiOF1RHTTqJ6mCJiEiMGA982TBI81nX4P7oDNSMMakbNmwI1bGIiIiIhM327dv9/x1jzAl1CIqstYVNPKwPsKOJ2w83uD9sOjqilucbQhQRERGJFf9o4rb7gJ83s31LaV5hTQHraKCWjzPkFy3ygDeAK3GOTeKD3vf4pPc9Pul9j0+het+TceKWrUBlo/uKmnlMCU2PmvX2/Xu4iftCpkOBmrW2BoiapqYNhjHzY6XZqnSc3vf4pPc9Pul9j08hft9Xt3H79cANxpjERnlqE3z/hjUHTMvsRERERJr3GpAOXNPo9luA/cBn4XxyrfoUERERaYa19l/GmA+AecaYHsB24AbgIuAb4ayhBgrURERERFpzNfAA8D84uWmbgRustX8L9xN3tUCtCGfVRnMJgdI16X2PT3rf45Pe9/jUqe+7tbYS+K7vK6JC0ZlARERERMJAiwlEREREopQCNREREZEopUBNREREJEopUBMRERGJUgrURERERKKUAjURERGRKKVATURERCRKKVATERERiVIK1ERERESilAI1ERERkSilQE1EREQkSilQExEREYlSCtREREREolRIAjVjTK4xxhpjngnF/kREREREI2oiIiIiUSsxRPvZB4wFykO0PxEREZG4Z6y1nX0MIiIiItKEsOWoGWNGGWN+ZYxZYYwpMsbUGmN2GWMeN8YMbvT4G3yPf6iZ/acYY0qNMQeNMYm+2zKNMf9hjFlojNlrjKnzPc+bxpjTQ3FeIiIiIp0pnDlqVwNzgD3AS8CfgE3A7cAXxphBDbZ9DWfa9EZ/INbIlUBP4Hlrbb3vtrHAA4AXeBt4CPgAmAUsMcZcFPIzEhEREYmgkEx9GmNygZ3AfGvtrb7bBgHF1traRtteAPwLeNxaO7fB7Y8BdwKXW2v/2egxbwOXACdba9f7bssEkqy1xY22HQx8DpRba8d2+OREREREOknYRtSstfsaB2m+298HNgIXNrprvu/fWxreaIzp79t2tT9I8+2nvHGQ5rt9L/APYIwxZmjHzkJERESk84Rq1ecJjDEGuBG4FZgI9AISGmxS13B7a+1SY8xW4HJjTC9rbanvrht9j3umiec4A/guMB3oCyQ32mQQsLuj5yIiIiLSGcIWqOHkjP07cAB4D6eER7XvvluBnCYeMx8n7+x6YJ7vtlsAN06eW4Ax5iqckbManNy0fKAKJ2dtJnAOkBKicxEREZEYZ4xJBfKAfAR89Y0AACAASURBVGttTWcfTzBCEajZnTt3MmzYMG655ZZbgFsKCwtxuVycdNJJLF26dEBGRsaNDR8wevRotm7dCnBcgtzu3bvJzc3llFNOeQR4ZPXq1QBceeWVvP7664UNtx03bhz5+fmsWrUqbezYsVc2vO/b3/42jz/+OIsWLVoUgvMTERGRLmDDhg2MHz8eYDxOGlbUC8uI2o4dO/B6vVxwwQVkZGQcd9/evXvZsWNHk48bMmQIs2bNYsGCBWzZsoX58520NSf+O9727dsZN24cY8cev17A6/XyySefhOhMRERE4ovb42VFQSnl1XVkdktmWm4vkhLUyKizhCVQy83NBeCTTz7B4/GQkOCkplVWVnLHHXdQX1/f7GNvvfVWFixYwFNPPcVLL71Enz59uOyyy5p8jm3btrF//34GDhwIgLWW++67j02bNoX+pERERLowt8fLvMX5PLusgOLKY2nk2ekp3DQ9h7kz8+I2YDPGZAA/AyYBk4Es4D5r7c8bbXcmTnrXZJxRu2RgmLW2oL3PHZZArX///lx//fX87W9/Y9KkSVxwwQWUl5fzwQcfkJqayqRJk1izZk2Tj7366qvp0aMHf/jDH3C73dx9990kJSWdsN33vvc95syZw+TJk7nmmmtISkri008/ZdOmTVx++eW89dZb4Tg1ERGRLsft8XLnsytYtKUI0+i+4spaHvpgK2v2lPHYTVPjNVjrg1NCbC3wOk5N2KbMBs4DVgNHcHLmOyRsr/ZTTz3Fj3/8Y6qrq/nLX/7Ce++9x2WXXcbSpUvJzMxs9nHdunXjuuuuw+12A01Pe4KTh/b0008zYMAA5s+fzwsvvMCQIUP47LPPmDJlSljOSUREpCuatzifRVuKgEbJ4w2+X7i5kEcX50f0uKLILqCXtfYc4N4WtvuFtTbXWnsVTjH+DgtFwVu7efNmxo4dy5133sljjz0WiuMSERGRCHB7vEx/8ENKKutOCNIaMkBWegpL750Vs6NqGzduDCwmsNa2azGBMSYLKKKJqc9G2/0A+A3RMPXpW8HJ4MGDW9lSREREosmKgtLjctKaY4GiylpWFJQyPa9P+A8svPKccq/HKbLWFja1cWfqUKBmjDn5P//zP3nhhRdwuVxcddVVoTouERERiYDy6taDtI5sH6XeaOK2+4CfR/g4WtXREbUpf/rTnxgzZgyPPvqofzhRREREYkRmt8ZNfUK7fZS6EqdQfkNFnXEgrelQoGatfQZ4OjSHIiIiIpE2LbcXWenJQeeoTcvtFalDC6f89uaoRVpsZgOKiIhISCQluLh5em6LQRo4OWo3T8+J2YUEsUqvtoiISJybOzOPkX3Tm7zPn3I/a0xf5szMi9xBCRDepuwiIiISA5ISXHRLdroIuQx4Gwyv9e6ezK0zcpkTx50JAIwxFwPdAX9vzJOMMdf6/v+OtfaoMSYbOMd32wTfvxcbY4pwVpV+1NbnVaAmIiIS53aVVLFubzkA3z47j6z0ZH7x9pcA/M+V47j05IGdeXjRYh6Q0+D763xfAMOAAmAc8HKjxz3i+/cj2tGpIH5DYxEREQHgzTX7A/+/asogvn5aDokuZ9Jz1e6yzjqsqOLrOGCa+SrwbbO4hW1mtud5FaiJiIjEMWstb651ArUx/TMY1S+DbskJjBvktHtcsau0Mw8v7ilQExERiWObD1awrbASgCsmHZvinJbjlOHYuK+c6jpPpxybKFATERGJa/7RNIDLG+SineKrl1bvtazZo+nPzqJATUREJE5ZawP5aVOG9mRI77TAfVNzegf+v6LgcMSPTRwK1EREROLUqt2l7CurBuCKicev7MzOSCG3jxO4KU+t8yhQExERiVP+0TSXockSHP5RtVW7SvF4W+tdIOGgQE1ERCQO1Xu8vL3+AABnjMgiOyPlhG38eWoVtfVsPVQR0eMThwI1ERGROLRsRwnFlXUAXD6x6YK2DRuwK0+tcyhQExERiUNv+KY9kxNcXDiuf5Pb5GWn0ystCVCeWmdRoCYiIhJnatwe3ttwEIBzx2ST2S2pye2MMUz11VNbUaBArTMoUBMREYkzi7cUUVFbD8AVEwe1uO20XGdBwb6yavb7VohK5ChQExERiTNv+Yrcdk9OYPbYvi1u6+9QAJr+7AyJnX0AIiIiscjt8bKioJTy6joyuyUzLbcXSQnRP/5RUeNmwZeHALhgXH9SkxJa3H7C4EySE13U1XtZWXD4hHpr4Rarr3OoKFATERFpA7fHy7zF+Ty7rCCwahIgOz2Fm6bnMHdmXlQHEh9sOkRtvRc4vrdnc1ISEzh5UCYrdpXyRQTz1GL9dQ6Vrn+GIiIiIeL2eLnz2RU89MFWShoEDwDFlbU89MFWvv3cStwebycdYev8vT17pSVx5oisoB7jz1PbfPAIFTXusB2bX1d4nUNFgZqIiEiQ5i3OZ9GWIgAa1+n3f79wcyGPLs6P6HEF63BVHZ9sKwbgkgkDgh6R8uepeS2s3h3+Bu2x/jqHkgI1ERGRILg9Xp5dVoBpZTsDPLtsV1SO9ryz/gD1vlZQbck1mxrBBQVd4XUOJQVqIiIiQVhRUEpxZd0JIzyNWaCosjYq6475e3sOyEzlFN90ZjB6dU9mRN90IPwdCrrC6xxKCtRERESCUF5d1/pGHdg+3PaXVfO5L8i6fOJAXK7WxqyO5+/7uWZPWVhHsWL9dQ41BWoiIiJByOyWHNbtw+2f6/YH/t+eEhtTc5wRuKN1Hr48cCRkx9VYrL/OoaZATUREJAjTcnuRlZ4cVO5UdnrKcQ3No4F/tefwrO6MG9ijzY8/5bgG7eGbboz11znUFKiJiIgEISnBxc3Tc4PKnbp5ek5U1fjKL6pkwz5nFOzyiQMxpm3TngBDe6eRlZ4CwIpd4ctTi+XXORy69tmJiIiE0NyZeZw+vOkkfH/oM2tMX+bMzIvcQQXBv4gAgity2xRjTGBUbUVBKda2Fkq139yZeeT2SWv6OHz/RuPrHA4K1ERERIKUlODiwnH9m7yvV/dkvn/+KB67aWpUjfJYawO9PccP6kFednq79+Uv01FYUcuew+Fr0J7oMoGALLHRooes9JSofJ3DpeufoYiISAh9ut0pGJudnswvvjI+cPu9F4/h7tkjoy542Lj/CDuKq4D2LSJoqGFJj3BOf27cf4SdJUcB+P4FozjP1zg+NdHFJz88Nypf53CJj7MUkQ5xe7wsyy/h3Q0HWJZf0uULTHYWvc7Rr67ey9L8EuD/s/fe4XGU597/99miuurFKrYkW7bc5C43cKN3DJwAAQLkpZqTQAik/HwOSSC/8J6THELJSQKmYyC0BIJtSmjuXe5VslVt9d6lbfP+MUUjabXaMjM7u3t/rsuX7d3Z2Wf2mWfmnrt9gZVT0/H9hRMQLYiaH9SgY78vfHq4Rvr3tbP9M9RmZMVLx6um7qc4ZsaAG+ZlY2VBGgCg3+5EY9eAat+rR0iUnSCIUSFRZG2g3zl4KK5qRa/VAQBYUZAGs9GAuRMSsbu8BQdU9DD5itPJYdPROgDAoonJyEqM9mt/WhyvfMwL85KRmRCNqRmDVaol9V2YkOw6fy0UoZVPEIRLSBRZG+h3Di62lfJhT8aA5YKguZhgX9rQjfZefTVf3V/ZirqOfgD+hz1FilQ+XldjnjouTnq/pKFL8e/UM2SoEQThEhJF1gb6nYOLraX8XM0en4ikWL7R6gJZ3tbBan3JGYm900wGhqtnZSqyzyKVj9fVmBNizMiIjwLAe9TCCTLUCIIYAYkiawP9zsFFY1e/1JF/5ZRU6fX5OYkQCxPVzNvyFpvDic+P8SHEZVNSkRyrTAf/eTmJYCodr7sxF2TwXjUy1AiCCHtIFFkb6HcOLrYLYU8AWDk1Tfp3XJRZyqE6oKM52nGmGW29NgDKhT0BID7KjGkqHa98zKuH9XubJhhqZU3dsNrD56GFDDWCIEZAosjaQL9zcCGGPeOiTJgzPnHIe5Jg+fl2DNgdmo/NFWIIMdJkwOWj9H7zlaJcdY5XPubLZgwds5inZndyqBDajYQDZKgRBDECEkXWBvqdgweHk8P2M7yhtmxyKkzDqnDFRrBWu1OSagokfVYHvjpRDwC4dPo4WCKVbfIgFhQoebxjjXlqxmBBwen6wP/GWkGGGkEQIyBRZG0oyktCcszYxhf9zoHneE2HFJITe3rJGdIItjLwbTq+O92IHqGNyHUKhj1FilQ43rHGPDndIuUCloZR5ScZagRBjIBEkbXByBhiI41jbke/c+DZJoQ9Ab5/2nCyEqORlcBXJRZXBT5PTWwYGxdpwqqpI8frL9kqHK805ijXY44yG5GXGgsgvAoKaNUTBOGSh1bl4+IxLvDhIoqsFm/sqsS5tkG9xNE8mPQ7B55tQthzcrpl1KaxopfpQJW6guVj0dFnwxah5cuVhRmIMo/9MOALCxQ83iFjnjn6mMU8tdNkqBEEEe6YjQb84sppLt8zMOCxMBJFVoPShi78/svTAIDxSVF4+OLJSLVEDtkmNtIYVuLTeqWz3ybJQ7kKe4qIoenWHqukrRkI/nWiHlahlcv1c5UPe4osVPB4PR2zmKd2vq0P3QN2v74zWKCVTxDEqBw5P6hd+N83zcItReMBAE4OuHByKhkPPmK1O/Ho+4dhtTthYMDzt87D45dPxa61F+O9+xdLeWvzcpLCSnxar+w62wyHk/cYuQp7ihTlDuZtBbJNx0ahcjLVEoGlk1JU+x6xgALwP0/N0zHLFQrCJU8tZFY/iRkThPKIzSzjIk24uWgCfn7FNCmZd4NM6Jnwjue+KcVJoXHqmpX5UsjMbDRgaX4qrigcBwDYX9GKflvgWj3QdZVnq9A/LdJkwOKJyaNuNzUjDnFCpeL+ABQU2BxOfHG8DjvO8OO9ambGiOpUJZmWES9VZvrT46+xqx87z/JjvnZ2ltsxyys/S8Mk/Bn0ouwkZkwQ6nFASBKel5sEo4EhLS4SF05OxfYzzfjsWB1+de0MVW8Eoci+ila8tJWXg5qZFY9HLy0Ysc3KgjS8t+8cBuxO7K1odRtuUwO6rg7CcZxUSLB4UorbfC+jgWFebhK2lTZJa0cLRpuvjUfrkBYfpdp8GQ0M83ISsf1Ms18FBZ8frYPgsByzQjU3JRaRJgMG7M6wyVML6pVGYsYEoR5NXQNSU8mFshCHeCFt7rZid3lLQMYWrHT12/DYh4fBcbx35vlb5yLCNPIyfMHkVBgF16W82lAL6Lo6lLKmHtS08wUfK2SyUaMhNoItb+5Bc/eAqmMD3M9XR59N9fkS25JU+HG8YpPb8UnRmJ+T6HZbo4FhyjgLgPCp/AxqQ43EjAlCPeQegQWy/l1XzMxAhPB0vuFwrebjCmae2ngS54Uqz//vqmmYIsu3kRMfZca8CfwNS2tDja6rQ9kq+/09aXMh73WnhVct0PNVNCRPzfvjPdfaKxVqXDcnC4yN1b0RmDqOl6+iHDWdQ2LGBKEuYnKwycAwd8LgU25CtBkXTeNvWF8erw9oDlUw8eXxOvz9wHkAfGf7u5fmud1eDHeeaexGbXuf222Vgq6rIxEN5ayEKOSnWcbcfu6ERMkbqnbjWz3M19ycweM9UOX98W48Oviw56keqaj52dJjRVOX+l7LQBO0hhqJGROEuog5JzOz4hETMTSd9fo52QCArgG71PuIGJ3Grn6s/fgYAN7QfebmOTAY3N9e5dWFWnnV6Lo6lH6bA3sr+PD+yqlpHnl7YiJMKMziPT5qN77Vw3zFRJgwUzje/T7sX/TKF4yzSAbYWBRkhFflZ9AaaiRmTBDq0Wd14HhNB4ChUjEil0xPR2wEn1QtltUTruE4Dr/4+1FJfuh3NxQiQ+jo7o5Z2QlIjuXbdIjNVtWGrqtD2VfRin4b74VaMcXzgo4FQpuO4zUdqnqc9TJfYluSE7XeHW9pQ5dUEHC9h2FPAEMMunAoKAhaQ43EjAlCPY6cb4ddKMOS56CIRJmNuHxmBgDgm1MNYdN40hfe3VsteR1Xz83yWHfRYGBYNplPXt9+phl2DcKMdF0diujJNBoYLpg8diGBiNgI1ubgcORc+xhb+45e5qvIx+OV57h6o0eaHheJhGgzAKAkDMTZg9ZQI9FoglAPeW7NglHWjtg9fMDuxNcn6zUZV7BR3tSNpz87BQDITIjCb1cXevV5MfzZ1W8f0nxYLei6OhSxkGDehETJMPAE+ZpRM/ypl/kaUlDg4fFyHCdVe86ZkIjclFiPv48xJvVTK2no9mKkwUnQGmokGk0Q6iFebHNTYpAe5zpMt2xyKpJi+JvXp1T9OQKbw4mffnAYfUIo6I83z/HqZg8MbQexVYNcQLquDlLb3oczjbwR4E6NwBXpcVHISY4BoG5BgV7mKz3e++M9fK4d1a29AIDVXnjTRMTw55mGLjidgdNV1YKgXmUPrcrHRWOUS09MjSExY4LwAqeTk9oKyCVxhmM2GnD1rEwAwI4zzWjtCe18JW/583dnceQ8n+d337KJXoXORNLjozA9k0/U3ip0m1ebh1blY3ySa9FxkXAQid8uywv0peGw6L06UNWmqiHhbr5ET5sW8+Xt8YreNAMDrp2d6fX3FQitbXqtDpxr6/X688FEUBtqZqMBj18+sqs3AKlcuKqlV0qKJghibEobu9DVz+ecjRUqEcvp7U4Onx+rU31swcKh6jb8efNZALw24c+umOrzvlYU8Abe0fPtaNPAGDYwJiWEm41Dg2qxEeEjEi+GPZNizCjMTvD68+JDTme/XfLMqYG7+Uq1RGo2X94cr8PJYdNR/nqxZFIK0uPHLq4ZjrygINQb3wa9hNShc4NG2DM3z4Yl0oSE6AjERBjwvZd2w+bg8NiHR/DZI8tGtBggCGIk8hL7hWMYagvzkpGZEIW6jn5sOFKLHyzJVXt4usTmcKK4sg0dfVZEmY14csMJOJwczEaG526d61Z2aCxWFqRh3dZycByw/Wyzx72mfGVveYskQ/TkdTMxKc2CR947iKZuKwqzE/DwJVNU/X49YHc4Jb3MZVPSpAd/b5Cvnf2VrUM0KpXE1Xx19FmREB2BorwkzQxqb453b3mL1P/M1/O5YJihJhY3hSJBb7kcEOLhiTFm3DRv/JDeRI9dNhW///I0Kpp78PRnp/D0jbMCNUyCCBrka2pSqvsGnwYDw3VzsvDytnLsq2hFbXsfshLdh81CidE0FkUevbQAM4QeU75SlJuMmAgjeq0ObCttUt1QE/MNzUaGa2dnISHGjKtnZeKt3VU4WN2GngE7YiOD/tbhliPn29EpeJV91VnNT7MgIdqMjj4bDlS1qfYQ42q+AoE3xysf81WF3oc9AV69IyshCrUd/SgJ8V5qQe+7Fp/+i3KTRjSQfGDFJCwSekC9u7cam083aj4+ggg23K0pV8gNh01Hw6eowJ3GokhxZavf3eAjTAZckJ8CgG8XwXHq5TsN2B344jgfklpZkC7d9MVkepuDw+6y0Nd33Vo6mA/oib6nKwwGJlVD7lepoGC0+QoEnh6vkmOWKj9DPPQZ1IZaXUefJJa7wEXSs9HA8Mdb5sAiPP39/O9HKeGZINww1ppyxcyseExK5UvrN4RR81t3Gosim0uaFNFYFA2lxq4BVRt8bittljxJYvsVgM8jEvOftGq+G0jE/mnTM+N9yp8SEdt0nG/rQ31HvyJjkzPafAUKT45XyTGL4c/y5h4M2ENXyi6oDbViD3JpJiTH4MnrZwIAmrsHsPbjo6o+kRJEMOPJmhoOY0xqVnm8phNlTaHf10hrjUV5V3w15aREQzvabMSl09Ol12MjTVgoRCe2aiwSrzVtPVapZ51YyOErC2WqHsU+6GCOxWjzFSg8OV4lxywWFDicHMqbevzal54JakNNbCEQYTS4rcr5t/nZuFJINPzXiQZJGJkgiKF4uqaGI38y3hAGPdW01ljMS41Fbgrfp0otQ6lnwC41Lr5sxrgRxVeiV6+qpRdVLaF7U9xxthnis/xKL2SjXDErOwERQjK/0jqbPQN2fHOyAYDr+QoEYx2vfMyXz/R/zFPHDeZ/hnL4M6gNNTEOPnt8gtuqKsYY/u9Ns5AWFwkAeGrjSZxrDe2+KwThC+JT8Fhrajj5aRYUZvMXzY1HakPeax0IjUXRq1ZcySf0K803pxokXUtXBQsrAyASHwjEY4uJMI6qyuEpUWYjZo3nH3iU9qh9c6pBaqa8WgdhT2Ds45WPWYmimPz0WKkiN5Q1P4PWUOsesONUHa/x5cliSo6NwB++N1v67GMfHoYjxLsZE4Q3dA/YcbLW8zU1HPHCW97cgxO1oa2/FwiNRdFQsjqc2FOufEK/6AlNiDa77MQ/LSMO6cLDbqiGPzmOk3Lwlk5KQaTJ97YqImKC/cnaTkU1ceXztdxPz5+SuDtepcccaTJiopAfWxrClZ9Ba6gdqm6DaGct9DDp+aKp6bhTKBneX9mGddv8T/IliFDhcHW7tKbcKRKMxrWzZeHPEC4qsDmc2FziWQW5khqLS/NlCf0KG0ptPVbJ+Lp6VgYiTCNvDYwx6ea6q6wFVrv6IvFaU9LQhYZOvr/XyjFUbzylSMjbcnL8GlOC9l6rZFCONl+BYrTjVWvM4VD5qZ/Z9RJ5/HtBrucXwbVXT5Mq1J77upRUCwhCQF5S782aEslKjMaiifxFeuOR2pDU36ts7sH3XtyFl7eVe7S9khqLsZEmaV62KSwn9cXxetiF+brOTUhKNF56rQ5VkuMDjVxPdYVCXqoFQwTLlfnNvjheD5tj7PkKBKMdr1pjnipISdW096Gr36bYfvVE8BpqwgkwOd2CpFjPwwoxESY8e+tcGA0MNgeHn35wWJLfIIhwRiwkyE+LRbIXa0qOGP6s6+hXrXdUIOA4Dn8/cB5X/2m7pN85PSMOiwXDdHj1p1oaiysL+Cq5iuYeVLcol2e74UgNACA9LhKLJ6aMut3yyalgwsFtK9VGe1RLRI9PTnIM8oQHen9Jjo1Afhq/L6UKCj497Nl8BYLRjlcc87h4ZccsV0AI1fBnUBpqdocThwSXapEPT/5zJyTikYt5GZQzjd34w5clio6PIIINu8OJg9X8RVVeYu8tV8/KhElI7g2V8GdHnw0Pv3cIP/voCHqt/EPdfcsm4p8/vhDv3LcYj19WgFRL5JDPqKWxKG8XsVWhfmb1Hf3YW8Eb1dfNyXIrl5QUG4HZQjVwqBUU9Frt2F/BrwFf1QhGQ0wlOFTdBrufrVq8ma9AMfx45WO+drayYxY9akDoFhQEpaF2qq5LumAW+XhT+dFF+Zg7IREA8PrOCknXjSDCkdP1g2vKl7CnSHJsBJYJndw/P1bnd/+wQLO/shVXv7BdEpBOtURi/T2L8MS1MxBpMsJsNODhS6Zg19qL8d79S/DSD+bjvfuXYNfai/HwJVMU11mckRkvVa/Lw3T+sOlordSOwpNKPNGIOVnXicYu5Zu4Boo95S2wCuerq2IKfxBzFHusDr+NCW/nKxAMP141x5yTHINooUK9lAw1/SCPe/viUQMAk9GA526dK03wzz46go5eG2wOJ3aXteDL43XYXdYS9DcagvAEeZjSH48aMHghbuu1YcdZfT8Ajbbe7Q4nnv26FLeu2y0pNVw8LR1fPrrc5U3cbDRgaX4KrizMFJL+1bm08gn9vCG8u6xZkYR+0fOZmxKD2ePH7p0nP/7tGoc/1bw+i6Fcs5Fhab6y4US5Q6HYz5SAjV7OVyCQH+9Hxefw9p4qAEBOcrTiYzYYGArG8ZrEoepRC3yHPB8Q496plkipCaQvTEyNxRPXTsd/fnIc9Z39uOXl3WjpHhgirpxmicSdS3Px0Kp81S6+BBFoiqvENRXh15oCgMtnZiDSdAwDdic2HK7FRVMD3zF9OKOJqadZInH93CwcrGrFoXN8LlqEyYAnrpmOO5fkgrHAh5lWFqTh44M16LE6cLC6DUsm+W5UVDT34KiQc3f9nCyPjm/uhETERZnQ1W/H1tIm/NuC8T5/v6e4my+lrs9i1euC3CRJdlAp8lJikGqJQHO3Ffur2vDDCyf6tJ+K5h4pR9LT+QoE2YlRiIkwotfqwFu7q6TXm7ut+N/vzip+Py0YF4cj5ztQ0tAFjuN0+7v4StBZHhzHSR61otwkvyfk9kU5WCVUMpXUdw25CAC87NSzX5fiwbcPkHeNCEk4jpOe8otyk/1eU5ZIEy6dPg4A8NWJevRZ9VWs405Mval7AK/tqJCMtKnj4rDxx8tw19I83Vz8l8kS+v3tZ7ZRlkfoadNUk9GAZZN5r96Os82qV/e6my+lrs/nWntR0cyrLSgd9gR4T6iYUlBc2epzQ2hf5ktrbA4nHnz7gJRKIafX6lDlfioWFLT32tDUNaDYfvVC0Blq59v6pD43SvQmYowNSUYcjricvjvdqIi4MkHoDaXXFDBYft9jdeC70571HNMKT8TUAWDehER8+uMLh1SV6YEUSyRmKZDQz3GcFPacnhmPyemeH6dozLT2WHG8Vt0WR+7mS6nrs9zgVbqQQERMKWjoHMD5tj6vP+/PfGmJfL5GQ+n76bSMQSmpUAx/Bp2hNiQ/zc9cGoC3/v9xcGztT6XElQlCbyi9pgBg1dQ0xAnhI7H1gx7wVEwd4A1YPVbUAYPGxInaTp89CKfqunC2sRuA9wnecq+TUkUNrvB0vvy9PouGWqolEtNlN30lkRfpiK1wvMGf+dIKreZrOAUZFunfodiiI/gMNSE/LcpswMws/xeUKK48FkqJKxOE3lB6TfH7MuLKwgwAwObTTejo00cjSk/F1AF9r/chCf0+tun4VGZAXzcn06vPZidGY3I6f3PcplCbEFd4Ol/+XJ+tdr5AAeDbnxhUMs5nZiUgyszfcn3pMShvd+PtfGmFFvPlijRLpNT7kTxqOkCc2LkTEhVJRgyEuDJB6Aml15TI9UIOjdXhxL9O1Cu2X38IlfU+AXzP3wAAIABJREFUd0Ki5LH0JfzpdHLYdIRvOVKUm4TxSd4XkIhevYPV7ehUqSO8FvN1sLpN0qRUK+wJ8EUpc8bzLaG89ag5nZyUn+brfGlBoNYXY4OVn6EoJRVUhlpHrw2ljfwk+NtCQCQQ4soEoRfka8oXfU93LJ2UglQLv1426qT5baisd7PRgAuFhP5tZ7xP6D9Y3Sa1Hbnex6R00avncHLYpVIbFi3mSzR0GYNUJKEW4n2rpKHLKy+zEvOlBYFcX2Ke2pnGLjhCTL4uqAy1g9VtUtM8f5pyyinKS0KqJcKjmLpS4soEoRfka0rpc9tkNOCaWXyIZufZZl1UY4XSepcn9J+o7fTqs2IYzWhguHqWb2G0xROTESkIa29VqZ+ap/MF8K1lfJkvMXQ7KzsBKcMUJpRmgTA+joOkBOIJSsyXFgRyfYlFP/02J6pblZNX0wNBZaiJSc+MAfMVMtTMRgPuWprnUUxdKXFlgtALaqwpOdfPzQYAODleqSDQhNJ6l8tJeZMnZnc48ZmgtHBBfsoI+StPiTIbsVjo4battMnnlhPu8HS+AMDu5HCqzjuDtalrAMdr+M8oJcLujvk5SVJrFU8b3yo1X1oQyPVVIOveUFLv3Xmgd/R7FXLBfiGXZuq4OMRHmRXb70Or8nHxNL4p52hPAiumpCoqrkwQekCtNSUyPycR45OiAQyKMgeah1blS70Th6OWmLoajE+KkcSvvam83FnWgpYePjdotWBI+8oKQSWhpr0PZU09fu1rNNasnDRqA1r59bq914ab/roLL20t8zgUvOOsrC3HKOeEkiREm6V2UJ4m0is5X1rg7n6q5vqSt9Epqe9WdN+BJmgMNavdiSPneCF2pfLTRMxGA9bducCluLJIalykrp+uCcJb5GtKrRAfY0zqqXawuh3ndBCSMBsNeGD5JJfvqSWmrhYrpIT+No8T+jcc5sNoESYDrpg5zq/vlxu8aom07yprkZL9YyOMQ95LtUTip5cW4GeXT4XJwGB3cvjvL07jB6/tRX3H2DqkomxUXKRJ0n5WG3GtHT7X7pEEmJLzpQXu7qdqri9LpEl6KCxpCC2PWtBISB2v7cCAcFKrcVMRxZXXrMpHcWUbOvqsiI8y48+bz2JXWQs+PliDy2eMw5WF+s0PIAhvkK8ppR9+5Fw/JwsvCs0tNx6txb+vmqzad3nKzrLBnKqXfjAfAJ/YXJSXFBQGmsjKgjS8sbMSdieHXWdbpJYoo9Fvc0gVuBdPTUecn17U/DQLshKiUNvRj62lTbhnmW/SSO54aSt/7sRGGLH15xfhTGM3OvqsI+Zr+ZRU/OT9Q6hs6cWushZc+cI2/P7fZuOKma5/E6eTk4zLCyarp886nKLcZLyzpxoDdidO1HZgXs7o97N+mwNfKThfWuHqfqrF+po6Lg7n2/pCrvIzaAy1AzI3sVJNOV0hiiuLTEqz4Irnt6Gjz4a1Hx/D/JwkpMdHqfb9amFzODVdMFoRqselBfI1pVRxjiumZcRhSroFZxq78emhGsybkBTw+RI9KYXZ8UH98LV4YgoiTAZY7U5sO9M0pqG2+XSj5J1SonqQMYYVBWl4f/857K1oQb/NgSizcewPesjhc+3YU87nct22KAepcZFIjXMd9ZgzIRGfPbIcT208gQ+Lz6O914YH3z6A2xfn4FfXzEC0zBtnczjxUfE5KaS4bLL6YU8RuaOhuLLNraG2paQRXQrOl9YMv5+qzdSMOHx7uhGVLb2Kn4uBJGgMNbFBYGZCFLITozX73oyEKPzuhkI8/N4htPXa8It/HMUbP1yoG92/sdBCzDgQhOpxaYlWa4oxhmtnZ+K5b86gpKEbt72yR3ovEPPV3D2AYzW87JGafbO0IDrCiMUTk7H9TLOU0O/u2iRWD1oiTVIekb+sFAy1fpsT+ypaFdXKFGWGzEaGe5eP7a2LjTThD9+bgxUFaVj78TF09dvxt73V2Fvegj/dNg8F4+JcXjee+6YUbb1WTc7D7MRoZMRHob6zH8VVrbgfrsPwAPDpYeXnK5QR89QcTg5nG7tRKEitBTtBcSfjOE5qEKimN200rpuTJQngbilpwjt7qzUfgy9oIWYcCEL1uLREvqYW5Cap+uBhczixu7zF5XuBmK8dZwbDnlpU+qmNaGyeb+tDefPoCf1d/TZ8K+iuXj5znGLehgsmp0pSW0rmqZU1deNfJ/mw3+q52chM8Pxh4trZWfjy0RVYJNwvypp6cMOfd+Kq57e5vG609Vg1Ow8ZY1KbjuLKtlGrZdWar1BGXlAQSlJSQWGoVTT3SC7qIhVDNO747epCZCbwIc+nPzuJsib9V5VoIWYcCEL1uLREvqbUzE8D+PkSw1fDCcR8icaEJdKkSksSrZF7sNwZSl+daJCS15XUikyINmOekIivpJzUK9vKpR5/a1aO7nUajezEaLz3wBI8flkBjAYGm5PDWaEyNdDXjYXCedfSY0Vli+sCG7XmK5SZlGqBSXhoCKU8taAw1Iqr5PlpgbmwJkSb8ceb5wDgG+o99sFhXXtsAiWOqzahelxaI19Tauan6W2+nE5OMiYuyNcugVxNpqRbpIfIrW4MtU+FsGdybISkaqAUorFY2tCNWqGDvj80dvbj44N8O5dLp4/D5PS4MT7hGqOB4eFLpuC9+xfDEwlPrc5DeWRoNN3PDSrOV6gSYTJgktCypoQ8atoiNga0RJokmYhAcMHkVNwnVDUdOd+BP393NmBjGYtAieOqTagel9aIhQT8mvLtJugJepuvk3WdUm6SkrlUgYQxJoVw95TzCf3DaekewE5B5unqWRmKG6hKiMTLeW1nBayCsfTQKu+9acNxOPmmy2Oh1Xk4LSNOajVywMV3tXQPYIcwX9fMygyJBwqtmCrYCORR0xjx6X9eTqKUCxEofnbFVKlh4Z83n8UhL2RAtCRUxKeHE6rHpTX7BUWCeTmJMKl4E9DbfMlDc8FeSCBHNJT6bU6XRsbnx+ok/UM1mqbOyk5AUgzfOsKdV88TOvtt+NsePg94YV4SFiigQau389BkNEjVnuJalCOfr2Cs9gwk4oNnXUc/Ono911PVM7o31Fq6B1Au5BUoLRrtC1FmI567dS7MRgaHk8NPPziMXqs90MMaQaiITw8nVI9LS7RcU3qbL7GD/6TUWExIjlH1u7Rk2eRUKbS3tbRxxPtiGC0rIQoL3LSD8BWjgWGZ4NXbcaYZdj9Ch+/uqZZaUqxZqUz3er2dh8BgGk95Uw9auofq4Ko9X6GMXEqqtDE0vGq6N9QOyHJpFupEIHlGVjwev3wqAKCypRe/++xUgEc0klASn5bjjUhzSqxvIs2hzgENcz71dB52D9ilYw+VsKdIQoxZ6qy/bZhAek17nyQVdt2cLBhUikqIclKd/XYcOd/h0z76bQ68vrMCAFAwzoKLpirTkkJP56E0JtlDknxNajVfoYo8leN0iIQ/dW+oiWFPo4Fhbo42Eh+ecP/ySVg0kV9of9tbje9ONwR4REMJJfFpOd6INPfZHNhd5rotRDhzQL6mVJbN0dN5uLusBXYhnBRKYU+RlQW8UVPS0IW6jsGE/o2CdwaAJOelzvcP/qa+hj8/OVSDpi7eu/TginzFjBQ9nYcic2WpPHJDbZNG8xWqZCdGI0bI/wsVcXbd353FQoKZWfGIidBPf16jgeGPN8+RxIJ/8fdjI9zXgeaBFZMQM0bvnWAQnx7OQ6vyMWuURobyy3qv1YG7Xt+H3206iQH7yATrcEWsMpuRGY/YUcSulcSdSLOIFuehGBKMMBqweFLg0yiUZkXBYGXgdplXTdSKzE+Lxcws9Yqx0uOjJG+GL/3UHE4OL28rB8CH/JTOzQqUWPhoWCJNmJ7J/17yys9PNZqvUMVgYFL4szRExNl1baj12xxSB3E1Wwj4yoTkGDx1/UwAfOPOtR8fG7V5YSDYUtKIXqECLDZypMF2/ZysoBGflmM2GjAh2XXzy1RLJB67rAD/fdMs6anq1R0VuPEvu3C2MTQWrT/I15RWYWF3Is2RJoMmIugcx0lenkUTk3X10KcUs8cnIlFM6BeKJs42duFkHe9VuH5OtuqKKisFkfaj59vR1uNdQv5XJ+pRITTsvXf5JMXPh0CJhbtDDH8eq+lAv82Bs43dms5XqCI+MJyu79TVPdlXdH21Onq+AzYH/yOr3ZTTV26an41vTjXgi+P1+OpkAz4qPo9bFk4I9LDAcRxe3Mo/nSZEm7H156twqq4LDZ39+M9PjqHH6kB1a6/UHDCY6Bmw4zuhY/d1czJx+6Jcl9qRiyel4CfvH8LR8x04WdeJa/93O3597UzctmhC2F4A5WtKy+Kc4SLNf/yqBMVVbWAA7l0+UfWbY2VLL8618uFAuecplDAaGJZNTsWmo3XYcaYZDicnedMAbaoHV05Jw7qt5XBywI6zzR6H7jiOk8TXE6LN+L5K19BAiYWPRlFeEt7cVQmbg8PR8x1SSw6Aqj39QfSodfbb0dA5gIyE4NPnlqNrV4rcHRwoRYKxYIzh/944C+mCUPBTG0+guqWXl80pa8GXx+uwu6xF88are8pbceRcOwDg7qW5SIyJwNL8FNwwLxv3CL3gDp9rx94K180W9cw3pxrQb+N/zxvnZWNpfgquLMzE0mENTCemxuLvay7AQ6vywRjfuuA/PjmGNe8cGPG0H+j50opiWSuAQBRaiCLNYjVfv92Jr0+qn98pD8WFWiGBHPHYOvpseGdPFd7bx7e5KMyKx8TUWNW/f0FeEqKFdAtvwp+7y1ukAoS7l+aqHpIXz0NX1w0tkT8s/ePgebyv8XyFKkMLCoI/T03XHjUxwTInOQbp8fq1iJNiI/CH783GD9/Yjx6rA99/eTesDmdAxcLFp9MoswF3X5A35L27L8jDy9vKMWB34qWtZVgyKUX18SiJmMORGGPGssnub7oRJgN+eeU0LJ+Sisc+OIL6zn7860QDjpzbjmdvmYOFE5PDStxd7LE1ITka4wK4plYUpCEh2oyOPhs2HK5VpbeXHNFoGBcfKfVBDEUuzB9cy7/ZcEL6d0VLD/707RnVz+dIkxEX5Kfg29ON2HZmbJF4kZcE77+r61Uok2KJQHyUCZ39dnyw/5z0ulbzFarINT9L6ruwSqHq4UCh2zPA6eSkQgK9etPkrJqajjsW5QAAajv6h9z0AW3Fp0/Wdkr5OLcUTUCKi3yMW4r40MKWkiacqgueJ462Hqt0072qMBMRJs9O4QvyU/HFT5bjypkZAID6zn7c/upeXPLHrWEj7u50DgqxLwxwT8IIkwFXz+LnYtuZJrT3qtdgdMDuwC6h+nfFlLSQDXvbHE488c/jLt/rHXBodj6LXr2GzgGPZHxO1HZIa9rV9SpUsTmceGB9MTr7R/bh1HK+QpEUSyRSLXwvvFCQktKtoXa2qVs6gYt0mp82nGTL6E0StRT9XbeN37/RwHD/ctfyK/cvnyQ1yFy3NXjEy784Xi+1WPBWqDgpNgIv/mA+/uumWVJ4prqVF0QOtEizFpxt6kZHH9+pe4EO+suJ+Us2B4cvjter9j0HKtvQJxTViMnuociLW8qwucR1uFHL83mlhyLxIusEb5q761Uoopf5ClVEr1ooSEnp1lAbkp+mg5vKWNgcTikfxB1qi/6ea+3FpqN1AHiNuNG6r+ekxOCa2fyNcuPROpwTDBa9s+EIL9ScER8l9bHzBsYYbluUg0/+/QKP5MhCSdxdLi2kh+KcxRNTpNxOedK70ojeZQPjO/iHIjaHE+t3V3rU0FXt8zkvNRY5wnVnrH5q/PWKn3t316tQQ0/zFaqIBQVnGrv9UsrQA7o11ESh2oRoMyanWQI8mrERxafHQm3R31e3l0sacQ+udP90+uAK/n2Hk8NrOypUGY+S1Hf0S8UP187O9Ev3ta3XJv1O7gglcXcxlSA+yqSLNWU0MMmrtqeiBfUd/ap8j2gs8O0rQlNSTLz+eNLQVYvzWays3V/R5lZi75Xt5ZJY+ljXq1BCb/MViogFBVa7E1VB4ogYDd0aaqJQ7YLcpKCQ0NCD6G9L9wA+KOYTUlcUpGFmluumsCKF2QlYLsi+vL+/Gq1e9j3Smk1HayG2xPG3dF0P86U1ospHUV6ybtaUGL7mOEieFSVp6OyXZGRCUY1ARG/ns6iSYHU4safctTpIS/cAPvTiehVK6G2+QpGpGYPNgoM9/KlLQ62xs1/qeRQMYU9AH6K/b+2uktpWrPHw6fQhsU2CzYm3dlUqPiYlEYWK81JiRlUm8BQ9zJeWNHb2S/l4emoePXt8AnJT+HCXXOpIKcKlLYfezuel+SlSj8bh2qMib+2q9Pp6FSrobb5CkSnpg1EDMtRUoFguGh3g6jRPCbTob6/VjvW7KwEAc8YnYKmHLTeW5qdg9nje6Hlrd6XbMEUgqWjuwVGhz9L1c7L8rtzzRtw9OQTE3eVrSg/5aSKMMcmrduR8ByqFzvRKse0MbyTER5kwZ3zoemwCff0ZjiXSJH2Hq4KCngE73tpdBcC761WooLf5CkViI01SriQZaiogFhJEGA2SEaF3Ai36+/6+c2jv5Sv61qzM99iQYYxJzUfbe21DevnoCaU7rHsj7t7db1clLKcl4poyG5nu1tRq2XxuUNCr5nBy2C5IKS2fkgZTCPejCvT1xxWiB7O8uWdEsdL7+89JFcjeXK9CBT3OVygiVX4GeYsOXc6+2OupMDseUWOIiusJT8SnL8hPUVz01+ZwSsUAE1NjcbnQK8xTrpiZIXXBfnV7he4qjDiOk6o9Z2TGY3K6Mg1LPRFpBvg8m59+cASPvn8Inf02Rb5ba8Q1NSs7QXdranJ6HKZn8vkkG47UKqbNd6ymQ3p4CVXZKDl6Ex1fMWUw1Cyv/rQ5nHhtO9+Sw5frVaigt/kKRcTm1pUtPegXWvQEI7oz1HoG7DhRyzdg1VOIxhPcif6KOJwcjAo/PW48Uouadj6n74EVk7yuhpT3L6pp79Od9+hkXSfKmviQmJL6d56INL9y1wKkxPL5If88XIurX9guGT3BgnxN6bUnoRj+PNvYjVN1yjz9hkt+mojeRMdnZMZL45DPxYbDtagVKnx9uV6FCnqbr1BE9KhxHHCmoTvAo/Ed3UlIHTnXLrVN0FPSs6eMJvr78YHz+OjgeeytaMXrOytwn0KNHTmOkxpGpsVF4sZ5vknx3DQ/G89+XYrm7gGs21qOG+Zm6yYcIQ+HeSry7CmeiDTPmZCIn390FFtLm3C+rQ+3rNuNn1wyBT+6aHJQ3GTka0qvKh/XzcnE7788DYCf7xlZ8WN8YmxEL07BOAsyE6L93l8woCfRcYOBYcWUVHx8qAa7BP1cI2NSQ25/rlehgp7mKxSZOkzzc5bO0j48RXeG2n5Zv5hgNNRERNFfkVnjE7C3shXVrb34w5clWD4lbchJ5CubSxql+Ps9F070OawVZTbinmV5+MOXJThd34UtJU24aFrg9dGcTg4bhfy0hXlJyE5U54Y7fL7kpMdF4Y0fLsQbuyrx+y9Ow+pw4tmvS7H9TBOeu3UuxicNNum0OZy6uuDaHE58fLBG+r/e8tNExifFYEFuEg5UtWHjkVr84oqpfrUQ6ei14VA1fy2Rh+DCBXfns5asnJqGjw/VoHvAjrd383q6pYJnw5/rVaihl/kKNSamxsJsZLA5OJQGcZ6a7kz2YqF/2qS02JDSfLNEmvDcrXNgYHzO00/eP4QBu/8x85e28N60uEgT7liS49e+7licC0skb7u/qBNZqQPVbVKYxFvJKCUxGBjuXTYR//zRhZgslH3vr2zDVS9sx8YjtbA5nPjTt2ew9L++xW2v7MGadw7itlf24IL/+g5/+vaM5nl/8vH8/eB56fXr/ndnQMbjCWJRQU17Hw5W+xde3lnWLDVSDWXZKL2zWKYe8ttNp/BXQQ6JAegesOnyPCRCB7PRgHyhuffpIK781JWh5nByOFTdDiDwotFqsCA3Gf++ajIA/qR59utSv/Z3oKoN+4RqvtuX5CA+yuzX/hKizbhjMW/s7ato9ftmqQRitafRwHD1rMwAjwaYkRWPjT9ehh8IRnFXvx0Pv3cIy3+/WTfi7qLYs17G4ylXzxpUm/C3+lPMiYoyG4Iu1zVUsDmcWPvxMZfvcQD+srlMl+chEVqIkSvyqCnE6fpOdA/wfbz0IBqtBo9cMgWF2Xz+zcvbyrF3lK7dnvCS4PWKMBpw74UTFRnfPcsmIkII1QVaDNjucOLzY7xu6YWTU3XjYY2OMOJ3N8zCy3cuQFIMbxzXd/JePz2Iu8vFnvUwHk9JtUTiAiH889nROp/1+TiOkwy1JZNSKLwWINyJjovo8TwkQgvRUGvoHEB7b3AqPOjKUNObaLQaRJgMeP7WuYg0GcBxwGMfHvGp5cPZxi58fbIBAF8IkB4fpcj4xsVHSQm+X59qwNnGwFXK7CxrQYsgaxXIsOdoXD4zA5seXgazUT/i7sEu9izOc0uPFTvLfHuIOdvYLYXLwzE/TQ8E+3lIhA7ThhQUBKdXTV+GmtD2ICU2AnkpMWNsHbxMTo/D2qumAeDzcZ7acNLrfYiVnozxJe5K8sDKSWCML2l+eVvgnnY/PcwnwUeYDLhi5riAjcMd1a19sDn0I+4e7GLPVxRmIMLEX5bkTY69YWuYteXQI8F+HhKhQ8G4QUMtWMOf+jLUhHyrorwk3bSGUIu7luZJguj/OHgeXwghPk+o6+jDPwUj5ooZGZiUZhnjE96Rn2bB5TN4w+iTQzWoF7wTWtJvc+CrE7zH8JJp6YjzM/9OLfQmrqy38XhLfJQZF0/lq42/OlHvU5NK0VDLToxGflqsouMjPCPYz0MidMhOjJaK5Mij5ic17X2oEwyCYNH39AeDgeF/vjcHCdG8AbL2k2No7PTMIHp9R4XkxVGra7UoK2VzcHh9Z4Uq3+GOzacbpXxFPYY9RfQmruxtPpYexZ7FpsZdA3ZsKWn06rP9Ngf2VfAPfCsK0kL+gU+v6G1dEOELYwwF43hnRikZav4hetOA0C0kGE5GQhSevrEQAK+z+fO/Hx1TPqej14a/7a0GACyZlIy5ExJVGdu8nCSptP5ve6slXT6tEKv+LJEmXfRzGw1vxN2TYsyqiisfr+nAUxtPeLStnsWeL56WLj0Bf+pl+HNvRSsG7Hy+00oKewYMEh0n9MTUDL6Ar6ShSzGJOi3RkaHG5yhEmgwozNJnU041uHZ2lpS8v7W0Ce/sqXK7/Tt7q9Bj5cNBotdLLURvXfeAfcxxKUlnvw3fnuY9KVfMzNB11Z434u4dfTa8ubMSTqeyFwqnk8Mr28px4193oqK5d+wPQN9iz1FmIy4XchK/Pd2ILi+KbbYKVYZGA8MFk6mBaKAg0XFCT4gFBV39djR2DQR4NN6jm9WxX/CozZmQKCUThwtPXj8TWQl81ebTn59CWZPrSst+mwNvCGHI6ZnxqnsMVhWkSSf4GzsrNRO1/epEA6yCV0RJbU+18FTc3cnx83v3G/s8DnOPRWNnP+5+Yx+e/vwUbA4OJgPDY5cV4CKhyWuwij2L4W6r3SnlKnrCtjO8oTY/J9HvvoKEf5DoOKEX5AUFlc09ARyJb+jCIurst0kySAvD0AWeEG3GH2+ZC8aAfpsTP/3gsMty9b8fOI9moYHpmpWTVM+/YYxJXrvm7gH8Q9bhXk3EsGdKbAQuDAJZFU/ElT96cAlykvlK5u1nmnHlC9vxzUnPDRBXfHOyAVe+sB3bzzQDAHJTYvD3hy7AI5dMwct3FQW12POFk1ORHMvnLXna/LamvU9qJ0Nhz8BDouOEXpC36KgIQkNNF1qfB6vaIIaNw6GQwBVL81Nw37KJeGV7BY6e78D/fncWj11WIL3vcHJ4ZTvfkmN8UjSu0ahL/7WzM/E//ypBTXsfXtlWju8vzFFViLy5ewA7z/KGx9WzMmEKkou4J+LKnz2yDL/ZcAIfH6xBa48V960vxl1Lc/EfV0/3Krzbb3Pg6c9O4W1ZOPrf5o/HU6tnSrldwS72bDYacPWsDLyzpxo7zjajpXtgzIbH26gth+4I9vOQCA2SYiOQHheJxq6BoPSoBdxQszmcUr8sAJiVHT75acP52RVTsf1MM07Xd+Evm89i1dQ0zMpOQHFlG7493YCqFj7/6P7lkzQzYExGA+5fPhFPbjyJypZefHa0DmlxkapdcD8/VgeHkMO1OgjCnsNxJ64cF2XGs7fMxcqCNDzxyXF0DdixfncV9pS34IXvz8P0zHhp29HE3U/VdeKR9w7hjOA5ios04embZo1aGRvMYs/Xz8nGO3uq4XBy+PxYHe5cmud2e9FQS46NCKs812AgmM9DIjSYmhGHxq4BnKzrDPRQvCZghprN4cSLW8qwfnelFM4DgKte2I47l+bioVX5YffEFWky4rlb52L1n3fC6nDinjf2w2hgUnd+gG9w29w9AJvDqdnvc8vCCXj+m1K099nx2IeHYZclw6dZIhWdL7HJaXZiNObnhGYYfPXcbMzPScKjHxzGgao2lDZ0Y/VfdmLtVdNwx+IcvLS1fMS6SLNEYGZ2AnaebZZasxTlJuG5W+diQnJoNocuyk1CVkIUajv6seFIrVtDze5wYofgiV0+JRUGFb2+BEEEFzaHE71Cu6c6H/uCMsYyAfwTQD6AZPCplls5jlulzChHJyCWULCKRmvB9Mx4/PSyKQCA9j7bECMN4NUC/ve7s5r+PmajAYkxfL6QfVjFopLzVdPeJ6lTXDsnM6RvthOSY/DBA0vw6KVTYGB80vxTG09iyX9953JdNHVbsaWkCTYHBwbg0Uun4P0HloSskQbwvQavEzyF+yvbUNPeN+q2h8+1o6ufvxCTbBRBECKivXGgut3fXeUDWATewVXq98C8ICCGWrCKRmuF2AfKHVqLfFe2uG77oOR8bZQljeu5ya1SmIwGPHppAT58cCmyE6MBAK1PLzPOAAAgAElEQVSCYe6urcGtCyfg0UsLgiZ/zx+uk50Hm9wUFcjz05YXpKo6JoIggge5veEnOwEYOI5LBHC9Ejv0FM2v9CTW6x6bw4l39lTp5vfRcr7E5qb5abGYIcvXCnWK8pLx6Y8vRKQHbWkYgG9PNYbNupiZFY9JggyUu+a3omzUjMx4pMdFaTI2giD0jaf3L0/gBBTYlddobqiRWK979Pb7aDWes41dOCUkea6emx120j9nGro98qSG27pgjGH1HL4h9Mm6Tqn9hpzWHiuO1nQAAFZOpbAnQRA8Y9y/VjHGrh/2Z4a2I/QMzQ01Eut1j95+H63Gs+FweIU9h6O3edcT8qbHrnqqbT/TJLX3ofw0giBExrhO/hnAp8P+/FWDYXmN5lWfJNbrHr39PlqMh+M46QY8e3wC8lJjvd5HsKO3edcTE1NjMSs7AcdqOrDxSC1+eumUIR7XbaV8tWdshBELckOzUpggCO8Z4zr5YwDnhr12Vr3R+I7mHjUS63WP3n4fb0THE6J9Ex0/VtMhFSuEozcN0N+86w3xvKho7sExIcwJ8Ea+KBu1ND817OTnCIIYnTGuq1s4jtsw7M9JbUfoGZpf1Uis1z16+328FR3/n3+VSDqdniImiTPGi9SHI3qbd71x7ZxMiE40eZj8VF0XmgSR5ZVU7UkQhAxv7l96JiBXexLrdY/efh9PxiO2PHt5WzluenHnqMLyw3E4OWw6yt94F09MRkZC+Fbs6W3e9URmQjQW5fHycpuO1sEp9PMTvWkAyUYRBDESd9fVYCEghhqJ9bpHb7+PJ+P54ifLUZjNt9Q4XtOJa/+0A+/vq8ZY1cz7KlrR0Ml7RK4XqvvCFb3Nu94QiwrqO/uxr7IVALBV6I+UlxKD3JTwy20kCMI97q6r3sIY+xVj7BkAvxReymeMPSP8UU0jjSnQFsSvHYymaUjw6O33cTceq92JP35dgnVby6XtryrMwH/dNEtSNhjO2o+P4b191TAZGPb/56VIig2fJHl36G3e9UBbjxULn/4GdieH2xbl4IlrpmPub7+CzcHhrqW5+O3qwkAPkSAIHWNzOPHhV7vxg6uXAUAhx3EnvPk8Y8wOwDjK28s5jtvh7xhdEXBRdhLrdY/efh9344kwGbD2qulYPjkNj314GI1dA/jieD0On2vHs7fMHfI5m8OJPWUt+PRwDQBen5GMtEH0Nu96ICk2AisK0vDd6UZ8fqwWGfGRku7phZPptyIIwj1mowFzcxJ9/jzHcQGxmQLuUSNCk9YeK375j6P4+mQDAL5Q4N9X5eNHF03Gq9srRoiOx0WZcP/ySYqJuxOhyT8OnMfjHx0Z8XqqJQJ3Lc2j84cgCLecOHEChYWFgA8etUBBhhqhGhzH4d291fjdZyfRb+MrQeOiTOjqt4Nh6Ikj/v/iaelhnYdFjI7N4cS9b+7HtjPNI96j84cgCE8IRkONrmaEajDG8IMludj442WYLmh3dvXbAYy07pUUdydCkxe3lLk00gA6fwiCCF3IUCNUZ8q4OHy0ZgmizaPlYA6ildg8EVx4Kq5M5w9BEKEGGWqEJhw734k+m2PM7cJNdJzwjDHElSXo/CEIItQgQ43QBBIdJ/yBzh+CIMIVMtQITSDRccIf6PwhCCJcIUON0AQSHSf8gc4fgiDCFTLUCE0g0XHCH+j8IQgiXKGrGaEZJDpO+AOdPwRBhCNkqBGaQaLjhD/Q+UMQRDjilzIBYyzq+PHjfQqOhwgTbA4nTtR0onvABkukGTOz4+kGS3gMnT8EQfjC2bNnccMNNwDAfI7jDgV6PJ7gr8BoviDFQBAEQRAEESxMABAUhprfHjUAekoIyQfwKYDVAEhHJnygeQ9PaN7DE5r38ESpeY8Ab6Rt5TiuQ4mBqY1fHjWO4/oB6EbUlDEpxbgsWMRWCf+heQ9PaN7DE5r38ETheQ8KT5oIJXUQBEEQBEHoFDLUCIIgCIIgdAoZagRBEARBEDol1Ay1JgBPCX8T4QPNe3hC8x6e0LyHJ2E7735VfRIEQRAEQRDqEWoeNYIgCIIgiJCBDDWCIAiCIAidQoYaQRAEQRCETiFDjSAIgiAIQqeQoUYQBEEQBKFTyFAjCIIgCILQKWSoEQRBEARB6BQy1AiCIAiCIHQKGWoEQRAEQRA6hQw1giAIgiAInUKGGkEQBEEQhE4hQ40gCIIgCEKnkKFGEARBEAShU8hQIwiCIAiC0CkhYagxxt5kjHGMsbxAj4UgCIIgCEIpgsJQY4w9KRhiqwI9FoIgCIIgCK0ICkONIAiCIAgiHCFDjSAIgiAIQqcoYqgxxvKE0OSbjLFpjLF/MsZaGWM9jLEdjLHLZduuEbb99Sj7ymCM2Rhjx4T/VwL4jfD2ZuGzHGOMG+XzDzLGjjHG+hljDYyxlxljCaNsu4Ax9g/GWCNjbIAxVsUY+ytjLNPFtlIenDffQRAEQRAE4StKe9QmAtgNIAXAOgAfAVgA4AvG2K3CNu8A6ARwH2PM6GIf9wAwCZ8HgOcBbBX+/RaAp2R/hvMH4c8RAH8BUAPgfgCfDN+QMXYtgF0ArgPwDYBnAZQAeAhAsZvCBI+/gyAIgiAIwh9MCu9vBYBnOI77ufgCY+zP4I23lxhjX3Ac18kYexvAjwBcBWCTbFsG4D4AvQDeBgCO455njCUCWAngTY7jtrj5/iUAZnEcVy3szwTgOwAXMcYWcRy3T3jdAuBN8Me/iuO47bIx/BLAfwN4GcDlGIlH30EQBEEQBOEvSnvUOgD8Vv4Cx3HFAN4FkAjgRuHlF4W/Hxz2+cvBe+U+4Diuw4fv/61oQAnfbQfwhvDfRbLtVoP3+n0gN9IE/gigEsBljLEcP76DIAiCIAjCL5Q21A5yHNfl4vUtwt/zAIDjuBMAtgG4ijE2QbbdA8LfL/n4/cUuXjsn/J0ke22+8Pd3wzcWDK9t8vH6+B0EQRAEQegIxlgUY2wmYywq0GPxGI7j/P3DVVRUcAC473//+5wrvvjiCw4A98Mf/lB67f333+cAcL/+9a85juO4uro6zmQycXPnzh3x+d/85jccAG7z5s0u93/33XdzALiKiooR723evJkDwP3mN7+RXrv33ns5ANymTZtc7u+Xv/wlB4B78803ff4OgiAIgiD0xfHjxzkAHICZnP/2jyZ/FPWoNTQ0uHy9vr4eAJCQMFgYedNNN2HcuHF47bXX4HA48Prrr8Nut+PBB4dHQ5VHHIc4ruHU1dWNGC9BEP5jczixu6wFXx6vw+6yFtgczkAPiXADzRdB8DDG5gkdLWoZY72MsdOMsV8zxmLU/m5FiwkOHjyIrq4uxMXFDXl9y5YtAIB58wYjiWazGffddx+efvppbNy4Ea+++iosFgvuuOOOEfs1GvniUIfDocg4xXFs2bIF995775D37HY7duzYAQCYP3/+iM8SBOE9NocTL24pw/rdlWjutkqvp1kicefSXDy0Kh9mI7V11As0XwQxCGNsBvguESUAHgXQDL548tfgO1usVvP7FV1pHR0d+O1vh9QSoLi4GO+++y4SEhJw4403DnnvgQcegNFoxI9//GNUVFTg9ttvH2HkAUBKSgoAoLq6esR7vnDDDTcgOTkZ7733Hvbs2TPkveeffx7l5eW49NJLkZPjqpaAIAhvsDmceGB9MZ79uhQtsps+ADR3D+DZr0vx4NsHyFujE2i+CGIEtwOIAvBvHMd9yHHcdxzHPQngNQDXM8ZUzU9X1KO2YsUKvPrqq9i7dy8uvPBC1NXV4YMPPoDT6cS6desQHx8/ZPucnBxcc8012LBhAwCMGva86KKLYDAYsHbtWhw/fhxJSfxv8sQTT/g0TovFgtdffx0333wzVq5ciZtvvhk5OTk4cOAAvvrqK2RkZGDdunVj74ggiDF5cUsZNpc0AeATQ+SI///udCNe2lKGhy+ZounYiJHQfBHECGzC38O7UbQDcAKwQkUU9ahNnDgRu3btQlJSEl566SV8+OGHmD9/Pj7//HPceuutLj9zzz33AACKiopGDTVOnz4db731FjIyMvDXv/4Vv/rVr/CrX/3Kr7GuXr0aO3fuxNVXX41//etfeOaZZ3Dq1CmsWbMGBw4cwKRJk/zaP0EQvHdm/e5KsDG2YwDW764iL02AofkiCJe8Bd4oe5ExNokxFic0zX8QwF84jutR88sZx7lUYvIGrrKyEhMnTsTdd9+NN99806sPP/nkk3jqqafw6quvjsgXIwgiuNld1oLbXtkz9oYC792/BEvzU1QcEeEOmi8i1Dlx4gQKCwsBPq+sbNjbTRzHNbr6HGNsGngFommyl/8E4FFOAUPKHUorE3hFV1cXXnrpJSQnJ+O2224L5FAIglCBjj7vIgLebk8oC80XEUZ86uK1pwA8OfxFQVJyI4AGAN8D0ARgMYAnAFgAqOplCoih9tlnn+HgwYPYuHEjGhoa8MwzzyAmRvUKV4IgNCYhOkLV7QllofkiwgiXHrVRtv1vAPEA5srCnNsYY80AXmeMrec4buson/WbgBhqH330Ed566y2MGzcOa9euxU9/+tNADIMgCJWZMs4Co4HB4XQfGWAAUi2RKMojcY9AUpSXhFRLBFq6rSMKCeTQfBEhQBnHqyR5wlwAJ13kou0X/i4EoG9DLS8vD96EaN98802vc9kIggguugfsuH998ZhGGsBXE961NJd6cwUYs9GAu5bm4dmvS91uR/NFhBm1AAoZYxaO47plry8V/j6v5pfTKiMIQnH6rA7c++Z+HKpuB8A3SgUwoppQ/P/F09KxZlW+dgMkRuWhVfm4eFq6y/dovogw5XkAqQC+Zozdwhi7mDH2HwCeBXASwBdqfjkZagRBKMqA3YEH3i7G3opWAMBFU9Ow5eer8PhlBUi1DM1pSrVE4vHLCrDuzgXkndEJZqMB6+5cgAU5iSPeo/kiwhGO4zYAuARAJ4AXAGwCcDeAdQBWcBynalVNQKs+CYIILWwOJ3707iFsP9MMALhwcgpe/MECRJmNePiSKVizKh8r/7AZtR39WJCbhPcfWEI3fB1iNhqQFBs54vXPf7IMaXFRARgRQQQWjuM2A9gciO+mKyRBEIpgdzjx6AeH8c2pBgDAwrwkvHJXEaLMRmkbs9GAaZm8Qkl3v52MNB1T3crnTcdEDM7fmYbu0TYnCEIl6CpJEITfOJ0cfvGPo/jsaB0AYM74BLz+w4WIiRjptM9J5lvxVLf2elWERGgHx3Gobu0FAFwky1c7UdsZqCERRNhChhpBEH7BcRye+PQ4Pj5YAwCYnhmPt+5ZhLgos8vtc1N4Q63P5kBT14Bm4yQ8p7FrAP02Xh5qYW4S0uL4MOiJ2uFShwRBqA0ZagRB+AzHcfj/N53C3/ZWAwAmp1vwzr2LkBgzeiNU0VADgCrBa0Poi6qWwXnJTYnFzCw+XH2cPGoEoTlkqBEE4TPPfFWC13dWAADyUmLwt/sWI8UyMgldTm5KrPRvuUFA6IeqlsG+njkpMZKhVt7UjT6rI1DDIoiwhKo+CYIYE5vDieLKNnT0WZEQHYGivCSs21qGv2zmFViyE6Px7v1LkB4/dkXg+KRoMAZw3FCDgNAPogHNGD9fM7MSAABODjhV34n5OaRIQBBaQYYaQRCjYnM48eKWMqzfXYnm7sFWQbGRRvQM8J6VcfGR+Nv9i5GdGO3RPiNNRmQlRKOmvY88ajpFDElnJUQj0mREoWCoAcCJmg4y1AhCQ8hQIwjCJTaHEw+sL8bmkqYRigKikWY2Mrz1fxYNCWd6Qk5yDG+oUY6aLqkWPJ1iPuGE5GjERZnQ1W+nyk+C0BjKUSMIwiUvbinD5pImABhVoNvm4PD1yQav9y0aANUU+tQlogEtzhNjDDOE/ndkqBGEtpChRhDECGwOJ9bvrhzhSRsOA7B+dxVsDqdX+xc9cG29NnT02XwaI6EOHb02tPfyc5KTPOgpFfPUSuq7vJ5vgiB8hww1giBGUFzZhuZu66ieNBEOQFP3AIor27zav7xFRzXlqemKqtZBL6d8ngqzeY+a1eEkhQKC0BAy1AiCGEFHn3caw95uL6oTAEMNAyLwDO2hNjhPM+UFBdT4liA0gww1giBGkBA9esNaJbYf0vSWPGq6orp1aLNbkfy0WESa+FsG5akRhHaQoUYQxAiK8pKQaonwKEctzRKJojzv2jXERZmRHMsbdxT61Bdib7uU2AhYIgcbA5iMBkzLiAMAnCRDjSA0gww1giBGYDYacNfSPI9y1O5amguz0ftLiehVo9CnvhA9nDkyr6fIzGw+/HmitgNO51hnB0EQSkCGGkEQLnloVT4unpbu8j3R03bxtHSsWZXv0/5zhTw1Cn3qC3E+cpNdGGqClFSP1UE98AhCI8hQIwjCJWajAX+6bS6MhpEB0FRLJB6/rADr7lzgkzcNAHKE/Kf6zn7020g/Ug/02xyo7+wHAJdNjKmggCC0h5QJCIIYlVN1XXAIIa5HLpmMGZnxktanrwaaiOix4TjgfFsvJqfH+T1ewj/Otbqu+BSZlhEHo4HB4eRwvKYT187O0nJ4BBGWkKFGEMSo7Ktolf79g8W5Homue8rwyk8y1ALPaK05RKLMRkxOs6CkoYs8agShERT6JAhiVERDLS8lRlEjDRiarE55avpAnncmVyWQI+apnaztBMdRQQFBqA0ZagRBuMTh5HCgilccWJiXrPj+0yyRiIkwAhhsCUEEFnEeYiKMSLW47o03QzDUWnqsaOgc0GxsBBGukKFGEIRLTtV1onvADgBYNFF5Q40xJikUUAWhPpAqPlNiwZjrLnqF2YMFBcdrKPxJEGpDhhpBEC7ZK8tPU8NQAwbzoKjprT4QVQlcteYQET1qACkUEIQWkKFGEIRL9lW0AADGxUcO0eZUErEFxLm2Xqm6lAgMDieH822iR230+Y6PMkvnAxUUEIT6UNUnQRAj4DgO+yv5/LRFE1NGDYP5i3jDtzk41HX0YXySOgZhsGBzOFFc2YaOPqtibVA8pba9DzYHbyy7UiWQMzMrHtWtveRR0xmBPH8I9SBDjSCIEZQ1daO1xwoAWOSljqc35Mmaqla39IatoWZzOPHiljKs312J5m6r9HqaJRJ3Ls3FQ6vyVb/hDhFjH6XiU6QwOwFfHK9HTXsf2nqsSIp1XXhAaIMezh9CPWjmCIIYwb6KNunfiyamqPY98hBbZZjmqdkcTjywvhjPfl2KFtlNFgCauwfw7NelePDtA7A5nKqOo1JWeesu9AkMzVM7WUdetUCil/OHUA8y1AiCGIGYn5YQbcaUdItq35OZEAWTIFEVruLsL24pw+aSJgC8yL0c8f/fnW7ES1vKVB2HWNBhNjJkJrjvmTdzSEEB5akFEr2cP4R6kKFGEMQIxPy0hXnJMLjQ+lQKk9GA8UnRAMKz8tPmcGL97kqM9QszAOt3V6nqFRFbc4xPioFpjDBZelwU0uIiAQDHa8ijFij0dP4Q6kGGGkEQQzjf1oua9j4AwGKV2nLIEcXZw1GdoLiyDc3d1hGekOFwAJq6B1Bc2TbGlr4j9rLztMK3UPCqkUctcOjp/CHUgww1giCGINf3XKiBoZYn9lJr7Q07SaKOPuvYG/mxvadwHIdqIUdtrPw0kZlZfOPb8uYe9FrtqoyLcI9ezh9CXchQIwhiCPsreUMtJsI4JBdJLUQPTveAHS094XUjSYj2rlrS2+09pbnbih6rA4DnHjXx3OA44FRdlyrjItyjl/OHUBcy1AiCGIKoSDA/R5seTLmyFh3hFv4sykuS9E7dwcC3WihSqVVKtayQQ94yxR2iRw2g8GegKMpLQqolwqMcNTXPH0JdyFAjCEKiuXsA5U38TVst2ajhyENt1WFW+fnunir0Cp4sd3AA7lqaq5rhLDeQPQ19TkiORlwU34rzBBUUBASz0YC7luZ5lKOm5vlDqAvNGkEQEvvl+Wl52hhq8lBbOHnU3t9XjSc3ngQAmIXK2uGeEfH/F09Lx5pV+aqNRf67T/Aw9MkYk8KfJ+rIoxYoHlqVj4unpY+5XTI1JQ5ayFAjCEJin5CfZjYyzMtJ1OQ7o8xGjIvnWz2ES4uOTw6dx9pPjgEA4qJM+GjNUjx+WQFSLZFDtku1ROLxywqw7s4FqnpDRFWCjPgoRJnHDsWKiOHP0vpuWO3U+iEQmI0GrLtzAcbFRY54LynGjAgTf9488elx/PNQjdbDIxSAJKQIgpAQKz7njE/06obtL7kpsWjoHBjSHT9U+fxYHR7/8Ag4DoiNMOKtexZhbk4S5uYkYc2qfDz83kF8ebwBJgPD1l+sQkyE+pdp8XcfS+NzOIXZvEfN6nDiTGPXkLw1Qlvaem0AgKsKM7B6bpak9XmspgN3vroXPVYHHv/oCCJNBlw1KzPAoyW8gTxqBEEAADr7bZIckBZtOeTkJg+26AhlvjvdgEfeOwQnB0SZDXj9hwsxP2cwwdtsNODS6RkAALuT0+z3ED2ZeV4aakMLCihPLVCcbeyGVWhme+n0cbiyMBNL81NgNhowPycJr/1wIaLMBjicHB55/xC+O90Q4BET3kCGGkEQAIADVW0Q25hpVUggIiawN3db0T0Qmj25dpxpxpp3DsLu5BBhNOCVu4qweNJIHVV5SxQtuv7L26LkeljxKTIpNRaRQmjtJBlqAeN4zWCO4MzskS11lkxKwct3FiHCaIDNwWHNOwex40yzlkMk/IAMNYIgAAyGPRkDFuRqW8afIzMQQjFPbW95C+5bvx9WuxMmA8Nf75iP5VPSXG47Od0i5RVp0faiShZu9rSHmojJaMC0TN4wkBsLhLaI3swIkwH5aa61eVcUpOGvd8yHycBgtTtx//riIc2tCf1ChhpBEAAGKz5nZMYjPsqs6XfnJodui45D1W2458396Lc5YWDAC9+fh0tnjBt1e7PRgGkZcQC0CSdW+9CaQ44oJXWqrhNOZ3gpS+gF0Zs5PSPObdHJpTPG4YXvz4OBAX02B+55cz8On2vXapiEj5ChRhAE+m0OHDnPX7C1DnsCQ5ushlKLjhO1Hbj79X3osTrAGPDHW+bgmtljJ3KL4c+TteobP5VyQy3Zu9AnMJin1mN1hEUxiN5wOjnJ8zrDg2KOa2Zn4pmb54AxPux912t7qWGxziFDjSAIHD7XDpuDNwgWadQ/TU5CjBkJ0bwXrzJEDLXShi7c+do+dPbzOXdP3zALN84b79FnxRtu94Bd9YIC0YOZGGNGQoz3nlR5Th0VFGhPVWuvJP/lqeTbTfPH4+kbZgEAOvvtuPO1fTjTQDJgeoXacxBBjc3hRHFlGzr6rFI5OnXf9h6thdhdkZsSg6PnOzQNfSp1/gzfT6olAne8uhetQpL+b66bgdsX53i8v+HGT16q954uTxE9mLle5qeJTM2Ig9HA4HByOF7bgevmZCk5PFUIpeuG3BvmjTbv7Ytz0G9z4LebTqK1x4rbX92LDx9ciompsbr7ffQ2Hq0hQ40ISmwOJ17cUob1uyvR3D0o5J1micSdS3Px0Kr8sFrI/iIaapPSYkc0XdWKnGTeUNMi9KnU+TPafgwMECOWv7xyGv7PhRO9Gt/0jHhpHydqO/4fe+cd31Z59v3fLVnytuOZHTtxEpLYQIYzXJYJu0DZm4QdEsbzlJe271PaPh10vX2e0hVIQqGUQFgFWgq0gUBiVpzhTGInceLYzvDelpdk6X7/OMNHsiRrHB0dSdf38/HHtnR0zq3rvnWfS9f0yV0aKJK8p/mZ8SmRYDJiVm4KjjT16j7zMxr3DcmKaTQwzJ3ou6IGAPefPx2Dw3b8ZvNRtPYO4c7ny/HNcybhvf1ndCEfvcwXY6wUwDYPT5dwzneE8vqkqBERh83uwKqNFdh2tHVUy502yxCe2VKN/ae6Ql7NPVqw2R3Ye7ITALA0TNY0YCSQvaFrANZhh5z5qDZqrR9v55GUtPysJDx4gX9KGgAkmo0oyEnBsRYLDoVQ+bEOO9DYPQAgcIsaAMyblIYjTb2obOgB5xyMjdUmXHuidd+Qsm0LcpIDKlL9SOlMDFrt+OPW42jsGcKLX9bqQj46na+nMFphOxTqi0bOaiQIkXVlNdh2tBUARjUjlv7feqQF68tqNB1XpFLZ0CM3Bteqv6c7pBpeDg6c6RoI2XXUWj/eziNR194f8DocSSjoBuehSSg43dkvK5X+diVQIiUUdPRZ0dQzqMbQVCca9w3OuWzFDKYrxBOXzUaxoiSPHuSj0/k6xjnf4fJjCfVFSVEjIgqb3YGN5XWjvmG5wgBsLK+HzU79B8dC2Yg9HBmfEkqLTqiyB31dPwDw/Bcn8O7e03hv/5lRP+/uPY0/f35izHMEsw6LJgs33jaLFS29Q36/3hfqnTI+g1HUtC3S6y/Rum809wzJxYr9iU9zZdjBffrMaSWfaJ2vQCHXJxFRVNR1OsUqeIIDaLUMoaKuEyUFo6u/EyPsFBW1yeMSMSUj8Jt1sORpUPTW1/UDAL2Dw/g/bx0I6nrBrMN5TgkF3RiflhDUWNyhLHYbTMKC61gv81InLhxE677hnEgQuEVNb/LRaDwFblz0rZzzFi+veZYx9gaAfgDlAJ7mnH/p74X9hSxqRETRPeDbTTbQ42MNh4Ojol5Q1Bbna9uNwJXc1Hi5HVGoEgrCtR4CuW7hxJEbb6isVPVi6Y8EkwG5qYEnkaQlmOQYQz2W6IjWfUO5LuYFYVHTm3w0Gs97EOLLlD+PeLoEgD8AeBjAxQD+E8BUAGWMsSsCubg/kEWNiCjSE80hPT7WONZiQVe/DQCwZHp4LQgGA8O0zCQca7GErESHv+vhmVvPxfyp40Y9vv9Ul1/WtkDWYXqSCVMyEnG6cyBkBUkly+W0zKSgEwAKJ6Whvr0flTpsJRWt+4a0LqZmJsp1CANBb/LRaDzXAXANcGt1dyDnfB+AfYqHvmCM/R3A1wB+A+CjQAbgK2RRIyKK4vwMZKeYffdlueIAACAASURBVIpdyEmJR3GYrUR6Z1dtu/z3kunhl5Xk/gyVRc3f9XPtuZMwIydl1M+1507SZB0Wie6sUFmpJIvatAA6Ergiud4augfR2acvi9TZU9JgMo6tiEbaviGti6Ig3J6A/vZVaTxjEeR4ajjnlS4/3tyeTnDOuwB8AOAcxlhiIAPwFVLUiIjCZDRgZUm+xyw7CQ5gZUleRKXZh4NddUJZjsxks8dmzloiuc/qO/pD0jpJrfWj1TqUAsRPdw6gW7R8qoXDweWuB4H0+HRFrx0KbHYHnnjzgNx5wxuRtG909Vvl7OhgEgkA/e2r0njGQgfzJem2Ie3zpv/VSBAurCktwPKzcrwes3xOLlaXFmg0osiEcy5b1JbkZ+qi9pWkMFiHHWjuDU2ZB2/rR5KAL+tnTWkBls/JdXpdIOfxRuFk5yB9NWnqGYR1WMiWy1dFURux6uild6TdwfHEm/uxpaoZAGT3oKeVHkn7hlIZDiaRQMLbepbQUj7XeinyrNbnKxgYYxkArgGwn3Me0po0pKgREYfJaMAPrp7r9rmEOAOevGx2xBWtDAenOgbQ3COUfQhX2yhXpilKRITK/elt/WSnxPu8fkxGAzasWIQnL5s9qpuDP+fxhrPyo66VSinfQLsSKMlJjZcTEkJZpNdXHA6O7719EB8cbAQAnDslHdu+c5Hb+QKA+VPTI2rfCLR1lCe8rWdAe/m8+FWt/HeGSw9atT5fvsIYe40x9mvG2M2MsVLG2EMQsj7HA/huqK9PyQRERLL3ZJf89y9vKMLru07i6zM9SDQbsaa0AHERstmGk52K+LRwdiRQ4lqiY9mM0CQ4uK6fzGRzQD0ETUYDHr9kFlaXFoSkF2FuajyyU+LRZhlS3UqlTNgIpoaaksJJaWg52hp2ixrnHD967xDe2XsaADB3Yhpevn8JxiWZR83XurIaHDjdjarGXnT2W5Gbqn4ZlFAgKe45qfHIVal0i7v1HA75tPQM4q0KYe5Kz8rBn1cWh7vX50EAtwFYDSAFQAeALwGs4JzvDvXFSVEjIhKpN2VKfBxuWzwNJqMB3337IDr7bdgdITWQws3uuhEZ+tsjMFRMHpco97isD2Fzdtf1YzQE5/Y1GQ0hWXOMMRROSsNn1a0hs6gZDQyTM9SJhS6anI5tR1tR29aHvqFhJMdrf4vhnOPnHx7Gpp0nAQAzc1PwygOCkiahnK+slHjcsr4c1mEHXviiFk990721VW9Uyh0J1P/shls+f/7ihOyWf+zimSH7fPkK5/zXAH4druuT2YGISCQlY1FeBowGhkvnjpdvth9VNoVzaBGDpKxIMtQD5jiDrDTUhbA5u+v60TPSjbim1YIBsdWXGkiK2qRxCapZJ6Sxcg4caQqP+/O3H1fjxS8Ft1leVhI2PbjUrStPYnF+ptyR49Ud9brLWHVHv3UYNa1C56JQKGpKtJZPR58Vr+4QlOyl0zNRHMa2dnqBFDUi4mjuGZRv4tIGkpFsxrIZwt+bDzWFJGMwmmhxI0O9kCeWighVdwJ360fPSK2kHBw4rKLyI1ks81WIT5NQxtSFo5XU2q3HsHbbcQCCdXbTg0t96ujw2MUzAQD9Vjte2l4XyiGqwuHGXkjtX4MtzeELjy/XTj4vfVWLAZvwheQx8bqxDilqRMSxy0NvyisLJwAQstkO6rDopp7YVaeP/p7ukJqD14eo36en9aNXQlH2gnMuW9SmqRSfBgBTMhKRliC4O7WOU3vhixP434+rAQixfZseXOpzS7QLZmXjnCmCwvPXr2rRO6huKRS1qVKpdZSvnD8zG+dqIJ+eQRv+KiqC504dh/NnZofkOpEGKWpExCG5rcxxBnlzBYDLRUUNEKxqhGckZcVVhnpACmzvGRxGV7/6bhZP60evTM1IQqoY61WlkvLT1W9D7+AwAHVqqEkIMXWhLdLrjld31OPnHx4GAGQlm/HaQ0v96l3KGJOtaj2Dw7LrTa9I1srUhDhMzQxprVUAgnwe1UA+r5TXy+vysYtn6qJkkB4gRY2IOCQlY/7UcYiPM8qPj09LwMJpQrufzYcawTm5Pz3hSYZ6QKk4hKJEh57fuzsMBoa5olVNLXei1JEAUKcrgRLJAljd3CsHhIeSt/ecxg//cQiAUCftlQeWYmZuqt/nuXTueJw1Xnjdi1+eUDUeUG0qGwWFfd7ENM2UGaV8XvhCffkMWO34ixhbOGdCKi4Ra7oRpKjpHpvdgfKadmw+1IjymnbY7KHf+PRMV78VR5t7AbgvKXFlkWBVq2vvR3WzRdOxAerNVyjnvbvf5lWG4UZZokOpUKjBWOtHr0hxSEebelVZC0q3spoWNWCkSK/NzlEtylotXD8X/9h3Bt97W+i5mhofh433Lwm4ObnBwPDIxULx1DaLFW/s1qdVzWZ3oLpJ2Nuk+EUtUMqnvU99+by+6yTaxUSFRy6eCYPOk3y0hMpz6BSb3YF1ZTXYWF6HNsuI+ycnJR4rSvKwprQgYgozqklFXaccRLvYTTbQFYUT8Mt/HQEA/PtQI86a4P8360BQa760mPeK+g6vMgw3TkVv29SNUxtr/egVyUpltTtwvMUSdDkVpaVSbUVNGdxe1dCjijLh6XMhkRBnwEv3Lca5U8cFdZ1rzpmE322pRl17P57//ATuWpoHc5y+9tljzRZYRWU91BmfroRKPkPDdmz4XOiPPj07GVef7bkrQSyirxVIABA2pVUbK/DMlmq0u2xKbZYhPLOlGg+/sicmrWtSfJHRwLAwb3Qj3rysZPkmplWcmlrzpdW8S64/TzIMN8nxcXI5BbUtamOtH72ibCV1SIVEGUlRy0mNR5JZ3e/rM3JSkGASbi1qJBR4+1xIzJ2YFrSSBgjrYo3YkqixexDvigVz9cQhjRMJlBgNDI+UCrFqasrnnT1n5C4pay4q0H3JHK0hRU2HrCurwbajrQBGd3qV/t96pAXry2o0HZce2CkqGUWT0pDioZimlP15pKkXdSpbZNyh1nxpNe++yDDcSFYetUt0RMJ7d0dBTopsuVAjSF/qSqBWRwIlRgPDnAliTJ0KY/X2uZDYd6pLtf3whgVTMCldKOmx7rMaDOvsC3GVKNP4OAMKctSNL/SF6xdMVlU+w3YH1n8mzN3kcYm4fsHkoMcYbZCipjNsdgc2ltd5bIorwQBsLK+PKatav3VYtiZ4c1tddfZI9meoi9/6Ol8AsHbbcTz++l785xv7Rv08/vpePCvWf/JGsPPuqwzDjaRAqNmdIFLeuztMRgPmim78KhWUH7k0h8puTwnJJXe4sQf2IGoahmM/NMcZ8PBFglWtvr0fH37dGPQ51USyUs6ZmBaWVnlqy+f9gw04KVrOH75ohu5czXqAJKIzKuo60WaxevzmKMEBtFqGUFHXqcWwdMG+k10YFjd9b/WvZuWmYIaYmr85xIqar/MFAEPDDrx/oBHv7W8Y9fP+gUYM+ZAhF+y8+yrDcCMlFDT3DKmWXRYp790T80Q3V1VjT1AFnfutw2jpFdxMeSpnfEpIcWn9VjvqgqiHF6798LbFU2X3+7PbjuumgLbDwWVFXev4NCVK+azdGrh8HA6O57YJ1rTslHjcWjxVtTFGE6So6YzuAf/qRvl7fCSzU1Go1JtFhDGGK8Tsz30nu9DUPRiyMfkr/5wUM/Kzkkb95KSYx35xENeV2OWjDMONMsD9pEpxar6uH70i3ZgtQ8NBxe4p5ZmfHVqLGhCcqzZc+2GCyYgHL5gOAKhutmDL4WZVzhssde196BO/uIRTUVPK51iLBR9XBSafj6uacKxFyGB96ILpSDDpv1xOOCBFTWekJ/p3w/b3+Ehmt3ijnT0+BRnJ3t/3lYritx9Xhc6q5q/8/3jHQpR99+JRP3+8Y2FIryuxyw8ZhpNpTrXU1HF/+rN+9IgyezKYIH1lxqeaXQmUzB6fKgeEVwaR/BDO/fDuZXlITzQBEKxGeqjLqFR6tWgd5Q2lfJ7d5r98OOdyu6/0RBPuWpan+hijBVLUdMb41Hj4kvDCIJRsKM6PnMy1YLAOO7D3pODW8MUacs6UdEwUA15Dmf1ZnJ+BbB+sYWPNl3QeX2JxAp13f2UYTpRB7mpY1CLpvXtizgSF8hOEleqkU2mO0Lg+E0xGzMpNARDcWMO5H6bEx+Heb+QDAL4+043Pj7Wpdu5AkWRpNDDNSg95IiU+Dvedlw8gMPmUVbfKBZzvP296RCX3aA0pajqioWsAK1/aBV/c/RzAypK8mKml9vWZbjmGy5f4IsYYrhCtajtrO9DRFxoXsclowMqS/DGPG2u+pPP4Eotz/YJJAc27vzIMJ5nJZnnjVqM7wddnuiLmvXsiwWSUs/yCUX6kBI3U+DhkJJlUGZs7RlpJdQdkjdLDfnjfeflINgvuuGe3jp3sE2okS+rMnBRduAnv/UZg8uGcy8crFWLCPbFxl48AWnoGcdcLO3G6cwDAiEXB05fJ5XNysVqs9xMLBNJIW+pSYHdwfBJgDIUvLMrzXL9Jmj9f5mtNaQGWi21TvBkRtlQ1o6XX/7i7SGpGzhiT3XJq1FLbVTsSZK739+4NWfk5E5jyAzhnfIay/ZAUQ9XZb0Ojn3Givu6H/ny+AmFckhl3lwguuV11HU6fIa3hnMsKejjj05S4ymfniXafXreztgMV9cJn8u5leUgP4ReGaIAUNR3QbhnCXS/sRK1Y8+veb+Rjy/+5EE9eNlvOrJEwGw148rLZ2LBiUcxY0wBgV62wAUzNTMTEdN+aEC/Oz0SWGIsUyuzP9Z+dACC4I7JcYp+yU+J9ni+T0YANKxa5nfecFDMWiAU969r7cfcLO/22EkrFXv2RYTiRAt3ViFELZP3oEekG3d5nlQuE+oukqKndkcAVpTLhT5Fe1/3wvvM874f+fL4C5cHzZyBeLBmx1ocSOqGiqWdQ/swXatg6aiwCkY9Uiig+zoAHzp8esrFFC+QUDjPd/TaseHGXnPlyx5Jp+PG188AYw+OXzMLq0gJU1HVi7dZj+KqmHZxz3HtefkwpaXYHl799LcnP8vl1RgPDZfPG443dp/DlsTb0DtqQmqDuN7cDp7rwhRibsWJZHn5w9VxU1HWie8CK9EQzivMz/Jork9HgNO/K88QZGJ76+yG8vuskqpstWPHiTrz24DKfvo3aHVxW1PyRYTiRmoWf6RzAsN0RcM2oQNePHlFWoq9s6MYEMQ7TV2x2B850iVaqEMWnScxzyfy8XJHg4wl3++F/XzN6Pwz08xUIOanxuH3xVLxcXo/Pq1tx8HQXzpkSfBcEf6k8M+Lu1otFDXCWzxfH2nDgVJfXLhHKPfOOJdOQkxrv8VhCIHbu9jrEMjSMe17ahapG4QN444LJ+MX1RU7uCJPRgJKCLDx44QwAgM3B5SrdscKRph70Dg4DAJZM9y9YWCrTYbU7QiI36Rukyciw6sIZ8nxdWTQRJQVZAd9E3J2HMYZfXF+EG8XK3ZUNPbjnpV2wDA2Peb6jTb0ByzBcSBafYQdHQ1fgJVaCWT96w1X58ZeGrgG5AG0ouhIoSU0wIV+cQ1/G6s9+GOzny19WXVSAODGrYW2YYtWUMgy08XyoUMpnrMLdrnsmMTakqIWJAasd97+0G/tPdQEArj57In5z8zkweEhx+kZBFlLF4OqPNOphqRd2O8VW+WcROa8gO2RyO9LUgy1i7NtNC6dg0rjQu9QMBobf3HwOvil2X9h/qgv3/3X3mEVhJdcf4L8Mw4VSkQimQ0Ew60dvpCeaMDVTWGeB9Px0Ks0RYtcn4JxQ4I0Bqx33/9X3/VBrJo9LxI0LhS9IH1c142hTr+ZjkHp8TstMQprKnoFgmTwuETctnALAu3zCsWdGA6SohYFBmx2rXqnALtEVdencXPzutvleXTvxcUZcMlcINN92tAWDNnWqtUcCkpyyU+Llb+i+Yo4zhExuUkVtAwNWX6RdYkec0YDf37YAl4rva1dtB1a9UuH1vUkyzEn1X4bhwrmWWuAJBZH43r1RJCs//lvUlIkZoXZ9AiOWn8buQY8xlfJ+WOv7fhgO1pTOlEuFPFemvVVN6khQNFlf1jSJNaUFY8rn2TDtmZGOvj4JMYB12IFHN+2VffQXzMrG2jsX+tTfTMpi7Lfa5ddHO5xzOWNv6fTMgLLUQiG3urY+fHCwAQBw7bmTkJ+tbXNkc5wBa+9ciAtmZQMAvjjWhkc37YXVTRsqpQyX5Acmw3AwMT0RZvFmHWhCgfDepdi8yHnv3pDik850DaCr37+EknoxQN9sNGBCmn/xbYEwVpHeYPZDrZmenYxrzpkEAHj/QAPq2tTrQzsWnX1WObawMMyFbj2RP4Z8atv68GEY98xIRn+fhihm2O7At9/ch0+PtAAQygQ8v6LY53o4F87OQYJJmLJQFnHVE7VtfWizCNltgZZVCIXc1pXVyPWdHimdqco5/SXBZMTzK4pluXx6pAVPvLkfwy6NqdWQYTgwGhimiG6+QC1qwnsXlJlIeu/eUN6o/W3QLlnUpmYmysVzQ4m3VlLB7ofh4NGLhc+6gwPrP6vR7LpS3B6gv/g0JUr5rCtzls+6suNh3zMjFVLUXLDZHSivacfmQ40or2mHzT52o2xfzjNks+O7bx/Ev74WFIX5U8fhL/cuRqLZ900pyRyHi2bnAAA+Odwc8NgiCTV6U6ottzNdA3h332kAwOXzxoe1Qnii2Yi/3LsY88Usqw+/bsT33j4oN0m22R14Y/dJ+fgFXrKx9IgUpxZod4JI6W3qD4UK19chP1tJnZRLc2hjzchOicf4NCGrr+xoi6r7YTg4a0IqLps3HgDwzt7TONnep8r9YiyU8Yjhbh3lDaV83t03Ip9NO+vx9h597JmRCJXnELHZHVhXVoON5XXyN3BAaEuyoiQPa0oLfMow8nSeBJMBgzbhQ1w4KQ0v378koJYZVxZNwEeVzegesGHniQ6cL7q+ohUpvigtIS6oD7dSbjtOtOOCWTkBn+v5z2pgswuK0GPLw//NMCU+Di/fvwR3/nkHKht68O6+MzAZGSaNS8QrO+qd1uEDL+/GipJ8n9dzuBEUilac7OgH59xv16Va60dP5KYmICc1Hq29Q37FqXHOZYU3VD0+XbHZHUgyxwEYwo4THdhxQpgPtfbDcPDYxTOxpaoZNjvH5b//XH4fgP/3C1+R5jk3NV735Sy8yQcAslPjYbM7ImL/0QskKQibyaqNFXhmSzXaLc4xH22WITyzpRoPv7JnzG9L3s4jLdZk0QIiNbP1l+Vzxstp0P8+1BjQOSIJySJSnJ8ZlKtGKbdg3J+tvUN4Y/cpAIJLNRz1lNyRnmjCKw8slfsrvllxGr/75Jib9Wz1eT3rAUmh6Lfa0Wrxv8CrWutHb0guRX8UtdbeIQyICSehLnYLjOyHtW5iudTaD8PBvElpcustVyXEn/uFP0jxfXqqn+YJb/IBgNd2noyY/UcvkKIGwZcu1dhybcoi/b/1SAvWl3mPSfB2Hok+qx1viTf6QEhPNOEbMwUr2keVzXJNpGikoWtAbiETbHyRWnJ74csTcs/Ixy4OvzVNSWayGZseXIpxigK4waxnPSB1JwCcm4n7gprrR29IN+yaVgv6rWPX0QOEjhYSWihqyv3QE8Huh+FgXVkNOvttbp8Lxeerb2gYJ0RlV6+JBEq8yUciUvYfvRDziprN7sDG8jqvvRUBoafcxvJ6j98C1DqPL1wpVvhuswxh38nOMY6OXKRK+oA6N9pg5dbVb8Wr5fXCePIzdXnzz0g2wzDmKlRnHWqB1J0AcFY0fEHt9aMnpDglzoHDjb7V9FJmzoY6Rk3L/VBLwvG+jjT1QGrrqtfSHBLROu/hJjKCAkJIRV2nUwyPJziAVssQzv3JR27r+wzbHeh3Y+b1dJ6Kuk6UFARWfPOyeePxg398Dc4FN15xlARJuyK5rRJMBlUCaIOV21+316FPLCz7qA5i09xRUdeJDh9KNqixDrVgamYiGBMUkpN+lujYqfL60RPOmZ/dWJQ3dscFKT6NMWBKRmgLjfq7r+p9HUqE430p3dt6t6hF67yHm5i3qHUP+FeHqN/mQM/g8KgfX5S0YK6rJCc1HovzBCVjc2UTOI9O96ekqC2clqFKXaWc1Hg5889fuVmGhvHSV3UAgLMnp+NCnSZx+LuuglmHWhAfZ8REsd5XvZ+Zn7tVXj96YmpmIlIThO/ZvsapSSVOJqUnIj4utNmV0bYOJcLxvqQen2kJcSFXsIMlWuc93MS8RS090ezX8VcUjsfE9NEflsbuAXxU2Ryy67pyZdEE7KrrwOnOAVQ29DgVlowGOvqscmNmNcsqXFk4Abtq/Zfbph316B4Q4i4evXimbgun+ruugl2HWjAtKwkN3YN+1VIL1frRC4wxzJuYhp21HT6X6KjXMOMzGtchEJ73Jc3vvElput13JKJ13sNNzCtqxfkZSI2PQ+8Yja0ZhJpAa+9c6Dat2GZ3oORXn6LdYvWYSKA8T3F+cM2hryiagJ99UAUA+KiyKeoUNWV80VIV44sCkdugzY4/f1ELAJg9PgWXi3WC9EhxfgayU8yarUMtyMtMxo4THX7VUgvV+tETRZPTsbO2A9VNFp/KHUgxalokEkTjOgS0f1/WYQeqm4UYxEhw30frvIeb6PIHBMCnh5th8SFrigNYWZLncTM0GQ1YWZLvdXH6ch5fmTwuEedMET640dilQHJ7xhkYFkxT78MciNze3H1Kruz/6MUzddMo2h1ar0MtyBMzPzv6rOgZ9J5NJhGq9aMnpMxPq92BY80Wr8d2D9jQJWbiaVHsNhrXIaD9+zrW0ivXbCzUeSIBEL3zHm5iWkrbjrTg8df3gXPIzWRdb8HS/8vn5GJ1qfcmsmtKC7B8Tm7Q5/GVK8QsxmMtFhxv8b5RRxqSReTsKemqVyv3R27WYQc2iK1i8rKScPXZE1UdSyjQeh2GmjxF5qevJTokRS0U60cvKAPL3fXRVHJS49IcQPStQwlv70tCrfcVSYkEEtE67+EkZhW1r4634eFX98Bm5zAbDXjhnmI8edlsZKc4V33OTonHk5fNxoYVi8bU/k1GAzasWBT0eXxFajYOCG68aMEyNCy3TAlFWQV/5PaPfWfQ0D0IAFhzUYHbjF+9ofU6DDVKxcKXODXL0LCsuERbWQ4lBTnJiBeTJMZKKKjvGMmY1aorQbStQwlv7wsQ4pjVel+V4j6YYDJgRoQ0MY/WeQ8nMRmjtruuAw++XAHrsANxBobn7lqI5XPGY/mc8VhdWoCKuk50D1iRnmhGcX6GXwvKZDTg8UtmBX0eXyjIScGs3BQca7Fg86EmuSFupLO3vlNu3rskBIHgvsrN7uBYJ1rTJqYn4MaFU1QfS6jQch2GmmlKRa1j7BIde0K8fvRCnNGAORPTcOBU15gWtfowWNSA6FqHSlzfV5tlEP/9XiU6+22obrbAoFLQv6SAz5mQFhFfEiWidd7DRcwpagdOdeG+l3ZjwGaHgQG/v30+LlUEh5uMBlXquqh1nrG4smgCjm09jq/PdON0Zz+mZGi3CYcKyW3FGFCcF5obrS9y+/DrRrn9zaoLZ0RkiQet1mEoSUswISPJhM5+m0+uz90arB+9UDhJUNSqGnrgcHCP8ZOS3DKTzUhN0L5dUzSsQ3co31drrxU/+6AKtW19+PDrRnzr3ElBndvh4DjcKChqkdA6yh3ROu9aE3l3niCoaujByr/sgmVoGIwB/3PzubjmnOA+TOFGircC4Fd5ED0jKWpnjU9FelJobipjyc3h4Hh263EAQHaKGbcvnhaScRC+IQXA1/lQ9FaL9aMXpBt4n9Xutc5cnYYZn7HKHUumIStZKDfx3LbjcATZ3q+uvU8usB0p8WlEaIgZRe1Ycy/ufnGnXAvrF9efjZsWRY4ryxOFk9LkIogfRUH256DNjv2nuwCEtqzCWHL75HAzjopp8Q+cPyNqA9IjBUnBGMuiptX60QvKkg1SXKc7pNImeRrFp8UiiWYjHrhgOgDgSFMvPj3SEtT5DiniDvXeOooILTGhqNW19eGuF3aio0+ogvyja+bhzqXRYSFhjOEqMTh+d30HWnuHwjyi4Dh4uhtWsen54hDeaL3JjXOOZ7cJ1rS0hDjcvSw61kokIykYjT2DGBq2ezxOq/WjF86akAqj6O70lFAwaLOjqUdIiJmmQWmOWGbFsjykiR0j1m47HlTXGCnu0GhgmD0+VZXxEZFJ1Ctqpzv7cdcLO9Ei3oi/e8VZeOD86WEelbpIWYycA1uqItv96dRIO8SB4J7k9uXxNhw4LWyS9543PSwxPYQzkoLBOXCqY8Djcbtq2+W/ozmRQCLBZMTMnBQAnkt0nO7sl5t6k0UttKQmmHDvN/IBCPHQXx1v9/4CL1SJives3BQkmMiiH8tEtaLW1D2IO/+8E2e6hI39P5bPjJrMSCULpmYgJ1VIg94c4WU6pEba07OTkSv2eAwVnuS2VoxNSzIbcZ+46RLhRRlbddJL5ueuuk4A2qwfvSDFqVU19Li14IQr4zNWue+86UgSQyX+tPVYQOfgnMsW0nkRmkhAqEfYFTWb3YHymnZsPtSI8pp22Oz+NTf3dJ6m7gHc9cIOOTbjoQum44nLZqs5dN1gMDBcUShkrm4/3ibH4YUCtebLHcN2B/bWCzfaxRq0FlHK7atjrfikqhlrtx6TlcW7l+UhI5l60ekBX2qpDdsd2CNaZLVYP3qhUGyD1t5nlV2cSuoU8ppGilrIyUg24y4xtGZnbQcqFF4CX2nsHpRDdSKhdRQRWsJWnsNmd2BdWQ02ltehzWKVH89JiceKkjysKS3wqd6Kp/MYDQx2MetmxbI8PPXNubpvaBsMVxZOxKs7TmLYwbH1SDNuWKBuooRa8+WNw429sIg9V5dM1yal+9K54/HqjpOwc+DBjRVOzzHApx6KROjJSYlHktmIfqvdo6J2uLFXzpLT+XM3/QAAIABJREFUav3oAWXphsozPZiYnuj0/Ekx4zPJbESOmwKthPo8dMEMvFxeD+uwA2u3Hcdf71vi1+udOxKQRS3WCcsdyGZ3YNXGCjyzpRrtips+ALRZhvDMlmo8/MqeMa013s4jKWkT0xPww6ujW0kDgKUzMpGeKMRSqd37U635GoudGscX2ewOvPRVncfnN3x+QpX3RQQPY0yuqF/voUSH1utHLyhdY+4SCqSyHdMyk6J+H9QLuWkJuK14KgCg7Gir14xcdyjjDcn1SYRFUVtXVoNtR1sBYFTzVun/rUdasL6sJuDzSDR2D+L5z08EPtgIwWQ04NK5ghvvs+pW9PvQaN5X1JqvsZASCSakJWBqZuIYRwfPurIafFbd6vUYNd4XoQ6youahXphUP02r9aMX0hJMsmv4kJuEAqmkCcWnacvDF81AnJiRK2WR+8qhM4LCnZ+VRMlMhPaKms3uwMbyOo/NbJW8+FUtdp5ow576jlE/O0+04cUva8c8BwOwsbw+JqwiUhbjoM2Bz456V0B8xdf5ClbOnHPsFgPBF0/PDPk3f63eF6EekqJxumNAtphLCOtHUNSWaLB+9IYyoUCJ3cFxqlNS1Kg0h5ZMyUjC9QsmAxCSlY6JdRl9oUpUuKnQLQGEIUZN6ItmHftAAF39Ntz2/M6grscBtFqGUFHXGfWtLC6YlS3H8WyubMJVZ08M+py+zlewcq5ptcjBs1o00tbqfRHqIZXosNodaOoZxORxI1az4y0WdPYLSTSxUD/NlcJJ6fjX10040zWAzj6rnATT0DUAm11QarVqxk6MsKa0AO/sPQ3OgefKavC72+aP+ZrOPisauoWkEHJ7EkAYLGrdA74padFyXS1JMBlx8ZxcAMDWwy1eC4P6ir9yC1TOUqYloE1Fea3eF6Ee+crMzzbnOLVdddquH72hvKFXNY5Y1U4q3MT5ZFHTnIKcFHxT/ML8zwMNPvWqpUQCwhXNLWrpif6VO/j+VXMwd+LoxXq4sQe/+veRkF03UrmycAI+PNiI3qFhbK9px8Vn5QZ1Pn/lFqicpUba45JMcgHPUKLV+yLUIy9zRNGo7+jHNxTP7dJ4/egN11ZS583MBkA11PTAYxfPxIcHG2F3cKz7rAa/uvFsr8cr4wzJ9UkAYbCoFednIDvF7FNsUE5KPO4/fzounJ0z6uf+86f7dZ7iGKmrdPGcXJjFchJq9P5cOG0c4uPGXibByJlzLlvUFudnwmAIfXyRv+swVtaPnpk0LkEOzlYqIJxzWVHTav3ojZzUeOSKxZuVFpl6sThwnIFhYnpsFADWG3MnpuHSucIX5nf2nEZT9+had0qk+RufFi8X5CZiG80VNZPRgJUl+R6zNCU4gJUleR5rWKl1nmgjJT4OF8wSvk1/XNU8KujaHzjn+PmHhzE0PHYgPQewIkA5n+4cQKO4eWlVVoHWT+QRZzRgcoYQl6bsThCO9aNHJDeZsrSD5GqbkpGIOFrDYUPqiGO1O8asQlBJiQSEC2H55K4pLcByMZbK9buv9P/yOblYXVqgyXmijSvE7M+OPqtT70x/4Jzjl/86jFd21AOA3BLFm62iu98aUBNip/6eGsYX0fqJPEZqqY1Y1HbVhmf96A3pxn6irU8uzyN1JaBm7OFlwbQMnDdTSEZ6bVc92i1Dbo/rGxpGrRh/SfFphERYFDWT0YANKxbhyctmI9ulUnZ2SjyevGw2NqxYNKYVQ63zRBuXzh0Po+j+CbT47e+2VOPPXwjlT/KykrDliQvdyjkr2SwX2n3xqzr87hP/e9tJN9oks1HTzYnWT+QhBcTXt/fLXwokRV/r9aM3iiYL751zIYaXcy53Jcin+LSwI1nVBm0Oj6WlhHkT/iaLGiERthZSJqMBj18yC6tLC1BR14nuASvSE80ozs/w68ao1nmiicxkM5ZOz8T2mnZ8VNmEH187z6+6Us9uO44/io3JJ6UnYNODSzE5I8mjnJu6B3HbhnI0dA/ij58eQ4LJgEdKZ/p8PSljb1FehubuGVo/kYUUEG8ZGkZHnxVZKfGyoh+O9aMnlDf2yoYe5GUlyy21qDRH+CmZkYWF08Zh78kuvFJej4cvKpC/5EpQxifhjrApahImo0GV+lRqnSdauLJoArbXtKOxexAHTndj/tRxPr3uxS9r8T8fHQUA5KbG47WHlmFKxsgm707OUzOTsOmhZbh1Qzlae4fwm81HkRBnxP3nTx/zeq29QzjRKnzrD2d8Ea2fyECpcNR39MPBBVcfENvxaYAQh5aWEIeewWFUnulxUtyo2G34YYzh8eWzcN9fd6N3aBgbt9fh8UtmOR0jxaelJ5owJSN2umsQ3ondr59RzuXzJsh/++r+3LSzHk9/UAVAsMptenAp8rN92+CnZyfjtQeXIlMstPmzD6rw2s6TY76uQhGfFouFSgn/UCocJ9v7neIbY339MMZk5ayysdsp4YJKc+iD0rNyZEvZX76qRd+Qc6s/yaJWOCkt5rprEJ4hRS1KmZCegAXTBCva5kONYwb5v7PnNH74j0MAgLSEOLz6wFLMGp/q1zVnjU/FKw8sQVqCYKj9wT++xrt7T3t9jVSWw2w0+Gz1I2IXJ4tae7/s9qT1IyApAUebenG8xSI/Tq5PfcAYk2PVOvtteH3XyJdZ67AD1WKbKXJ7EkpIUYtirhKzP+va+1HdbPF43AcHG/Ddtw+Ac6G8x8YHlgbcuqRwUjo2PrAUKfFx4Bz4zt8O4MODjR6Pl26050xJR4LJGNA1idgh0WzE+DQh8aO+vY/WjwuFYkKBzc7x6eEWAEKTepKNfriycAIKcgTL8IbPT2DQJsQRVjf3yu2+KJGAUEKKWhRzReHY7s8tVc349hv74eBAosmIl+5bHLRlYv7UcfjLvYuRYDLAwYH/fGMfPqlqHnVcz6ANh5sEU38sl1Ug/EPqUHCooZvWjwvKG/yRJsE6M43cnrrCYGByslVr7xD+tkfwOlRRIgHhAVLUopi8rGS5/dbmytGK2ufVrXh0014MOzjMcQa8cE8xFqsUkL1keiZeWLkY5jgDhh0cj2zai8+rW52O2VPXKaei042W8BVJ8ahuttD6cWFGdjISTM7beh65PXXHt+ZPkpMF1pfVwGZ3yIkECSYDZsRgGzTCM6SoRTlXila1w409+Me+09h8qBHlNe348ngrVr1SAavdAZORYcPdi+T+gGpx/qxsrL97IUxGBqvdgVWvVGDHiXYAgM3uwN/3nQEgFJc9ZwqZ+gnfcFU8aP2MEGc0YM4EZ2sMY8LnjdAPJqMBqy8SCmmf6RrAu3vPoFzcG6dkJMIRQOFwInphgVSSd4FWlI6pPNONq//05ajHGYSJMzDg2TsX4qqzJ4ZsDP/+uhGPvrYXDg4kmQz41oLJ+KSqGW0Wq3xMTko8VpTkYU1pAdUvIzxiszvwn6/vw79cXPm0fgRsdgduWrcdB093Oz1O8tEfgzY7LvzNVrT0WmFkgF1xJ6X5Ch2VlZUoKioCgCLOeWW4x+MLtAKiGJvdgf/9+Kjb56Q9Yc7ENFw6b3xIx3HV2RPxzK3zAQD9Ngfe2HXKSUkDgDbLEJ7ZUo2HX9lD3/4Jt9jsDqzaWDFKSQNo/QAj8nFV0gCSjx4xGhjSEoSCt3YXcwfNF6GEFLUoZl1ZDbYdbfV6TFVDD9aX1YR8LNcvmIzL5uV6fF7ap7YeadFkPETk4W090/oh+UQa68pqcLy1z+1zNF+EElLUohSb3YGN5XVem6gDggt0Y3l9yL+12ewO7DvZNeZxWo2HiCz0tp71BsknsqD5IvyBFLUopaKuE20W65gBhBxAq2UIFXWdmoxnLLQaDxFZ6G096w2ST2RB80X4AylqUUr3wNhKUTDH+4vexkNEFrR+vEPyiSxovgh/IEUtSklPNIf0eH/R23iIyILWj3dIPpEFzRfhD6SoRSnF+RnITjH7FAORkxKP4vyMmBoPEVnQ+vEOySeyoPki/IEUtSjFZDRgZUm+TzEQK0vyQl6rR2/jISILWj/eIflEFjRfhD/Q7Ecxa0oLsHyOUBLD9Zub9P/yOblYXVoQk+MhIgtaP94h+UQWNF+Er1BngijHZndgfVkNNpbXo9UyJD+ekxKPlSV5WK1x5Wu9jYeILGj9eIfkE1nQfGlPJHYmIEUtRrDZHaio60T3gBXpiWYU52eEdQPQ23iIyILWj3dIPpEFzZd2kKJGEARBEAShUyJRUSOVnSAIgiAIQqeQokYQBEEQBKFTSFEjCIIgCILQKaSoEQRBEARB6BRS1AiCIAiCIHQKKWoEQRAEQRBeYIylMMZ+zxhrYIwNMsb2M8Zu1+LacVpchCAIgiAIIoJ5F8BiAP8FoBrAnQBeZ4wZOOevhfLCpKgRBEEQBEF4gDH2TQCXAbiTc/66+PA2xlgegP9hjL3JObeH6vrk+iQIgiAIgvDMDQAsAP7m8vhLACYBWBrKiwdlUWOMJRw6dEitsRAEQRAEQYSM48ePS3/OYYy5Pt3KOW9x87IiAIc558Mujx9UPL9dtUG6EKzrs0BsxUAQBEEQBBEpvO3msZ8C+Imbx7MAnHDzeIfi+ZARrKJWA0GT1AsFAN4DcB2EsRGxAc17bELzHpvQvMcmas27GYLeUg3Bnamk1cvrvPU1D2nP86AUNc75IADdNDVVmDFrIqXZKhE8NO+xCc17bELzHpuoPO/7/Dy+He6tZpni7w43z6kGJRMQBEEQBEF45msAcxljrsats8XfIQ3WJ0WNIAiCIAjCM38HkALgJpfH7wHQAGBnKC9OddQIgiAIgiA8wDn/N2NsC4B1jLE0AMcB3AHgSgB3h7KGGhB9ilorhKwNbwGBRPRB8x6b0LzHJjTvsUm45/1GAL8A8DMIsWlHANzBOX8j1BdmnIc0WYEgCIIgCIIIEIpRIwiCIAiC0CmkqBEEQRAEQegUUtQIgiAIgiB0CilqBEEQBEEQOoUUNYIgCIIgCJ1CihpBEARBEIROIUWNIAiCIAhCp5CiRhAEQRAEoVNIUSMIgiAIgtAppKgRBEEQBEHoFFLUCIIgCIIgdAopagRBEARBEDqFFDWCIAiCIAidQooaQRAEQRCETlFFUWOM5TPGOGPsr2qcL5pgjJWKsvlJuMdCEARBEERkQRa1CEJU+MrCPQ6CIAiCILQhTqXznAEwF0C3SueLJnZBkE1buAdCEARBEERkoYqixjm3ATiixrmiDc55P0g2BEEQBEEEQMhi1Bhjsxljv2aMVTDGWhljQ4yxesbY84yxKS6vv0N8/TMezh/PGOtkjDUxxuLEx9IZY99ljG1ljJ1mjFnF6/yTMbbMw3kuYIy9Lx4/JJ5vB2Psx26OTWKM/V9x/L2MMQtj7DBj7I+MsfGK4/4qjn0GY+xxxthBxtiA5KL0FKPGGCsTH49njP2cMVYrjqmGMfZjxphZcey9jDEu/nuR+Dru7rwEQRAEQUQPark+3XEjgNUAtgHYDsAKoBDAgwCuZYwVc87PiMf+HYLb9C7G2Pc458Mu57oOwDgAv1U8NxfALwB8DuBDAJ0ApgH4FoCrGGPXcs43SydgjF0pHtcD4J8Q3LWZ4nkeAfBTxbEZ4rjPBXAUwF/E8RcAuB/AuwCaXcb4BwAXiNf4FwC7j3J6C8BiAG8DsInv9ScAihlj3+KccwD7xfH9GEA9gL8qXl/m43UIgiAIgogwQqmovQLgd5zzIeWDjLHLAfwbwA8BrAEAzvkgY+xNAKsAXAngA5dz3SP+flnx2GEAkzjnTrFforVuF4DfAdiseOohCBbEUs75AZfXZLtc71kIStp6AI9yzh2KY1Ph3hK5EMACznmtm+e8MRdAIee8Uzz/DyAoidcAuBvAK5zz/QD2i5a/Os75T/y8BkEQBEEQEUjIsj4552dclTTx8Y8BVAK4wuUpSQm7R/kgY2yCeOw+zvnXivN0uypp4uOnIVin5jDGprkZ2oCb18jnYYzlArgNQCOA7yiVNPHYXs65u6SJ3wSgpAHA05KSJp5/EMD3xX/vD+B8BEEQBEFECSFT1JjA3YyxT8TYsWEprgrA2QAmK4/nnG8HUA3BLZqheOouAEY4u/uka5zHGHuLMXZKjO+Szv+4eIjyGpvE3zsZY+sZY7e5xsqJLIYgl885531+vOVdfhyr5DM3j30BYBjAggDPSRAEQRBEFBBK1+czAL4NwTL1EYSYMMmadS+APDeveRlC3NntANaJj90DIXbrdeWBjLEbIFjOBgFsAVADoA+AA0ApgIsAxEvHc87fZYxdA+BJCJaqh8Xz7AHwfc75FvHQceJvKX7OV5r8PF7CNdYNnHM7Y6wdQG6A5yQIgiAIwgXGWAKEePMa0YOlfzjnwf7w2tpaDoDfc889nHPOm5ubucFg4EVFRbynp4e7Mnv2bC5c2pmTJ09yg8HAly5dyjnnfO/evRwAv+6660YdW1hYyBMSEnhVVdWo51atWsUB8G3bto16jnPOLRYL//TTT/kTTzzBExISuNls5pWVlZxzzj/44AMOgN92221uX+vKPffcwwHw2tpat89v27aNA+A//vGPnR6/6KKLOABeX18/6jXDw8M8Li6Op6enOz0OgF900UU+jYsgCIIgCGcOHTrEAXAIseFq6EAh/wmJ6/PEiRNwOBy4/PLLkZqa6vTc6dOnceLECbevmzp1KpYvX46dO3fi6NGjePllIWztnnvuGXXs8ePHMW/ePMydO9fpcYfDgS+//NLr+JKTk7F8+XI888wzeOqpp2C1WvHvf/8bALBkyRIYDAZ8/vnn6Ovzx/MZGJ99Ntrz+cUXX2B4eBgLFjh7Pg0GA+x2X5NJCYIgiEjAZnegvKYdmw81orymHTa7Y+wXEZrDGDufMfYvsVzYAGPsGGPsR6G+bkgUtfz8fADAl19+6aRYWCwWPPTQQxgedq2+McK9994LAHjxxRfx+uuvIysrC9dcc43baxw7dgwNDQ3yY5xz/PSnP0VVVdWo4z/99FMMDIzKI0Bzs+B5TEpKAgDk5OTg9ttvR2NjI77zne/A4XD+wFgsFnR3q9eA4emnn0Znp5xLgMHBQXz/+0IuwX333ed0bFZWFk6dOqXatQmCIIjwYbM78MdPj6HkV5/ijj/vwOpX9+KOP+/AN361FX/89BgpbDqCMXYnhJjybgArAXwTwP8DwEJ97ZDEqE2YMAG333473njjDcyfPx+XX345uru7sWXLFiQkJGD+/PnYv3+/29feeOONSEtLw+9//3vYbDY8/vjjMJlMo4574oknsHr1aixYsAA33XQTTCYTvvrqK1RVVeHaa6/F+++/73T8k08+ibq6OpSWliI/Px9msxl79uzB1q1bkZeXh9tvv10+du3atTh06BDWr1+PsrIyXHHFFTCbzaitrcVHH32Ef/7znygtLVVFVnPnzkVhYSFuvvlmmEwmvPfee6ipqcHVV1+NFStWOB17ySWX4I033sC1116LRYsWIS4uDhdeeCEuvPBCVcZCEARBaIPN7sCqjRXYdrR11J2+zTKEZ7ZUY/+pLmxYsQgmI7XlDieMsckAngewgXP+iOKpbVpcP2Sz/+KLL+Kpp57CwMAAnn32WXz00Ue45pprsH37dqSnp3t8XWJiIm655RbYbDYA7t2eAPDwww/jpZdewsSJE/Hyyy9j06ZNmDp1Knbu3ImFCxeOOv6pp57CVVddhcrKSrzwwgtYv349mpub8dRTT2H37t3IyBhJNM3IyMD27dvx85//HCaTCc8//zzWrVuHyspK3H///Zg3b16Q0hnhrbfewv3334/3338fa9euhcPhwE9+8hO88847YMz54/uHP/wBd9xxB3bt2oWnn34aP/rRj7B161bVxkIQBEFow7qyGmw72gpACJhSIv2/9UgL1pfVaDouwi0PAkiGYEHTHMa56xLxG37kyBHMnTsXq1atwoYNG9QYV9RTWlqKzz77DCrInyAIgoggbHYHSn71Kdot1lFKmhIGIDslHtu/v5ysaipRWVmJoqIiACjinFf68hrG2KcA5gO4E4KyVgSgA0KXou9xzntCNFwAKlnUqqurAQBTprgrS0YQBEEQhERFXSfaxlDSAMGy1moZQkVd5xhHEgFQwBgrdPnxVBJrMoAkAH8D8CaASwH8D4RYtX8xV/eXygQVo8YYO+d73/seNm3aBIPBgBtuuEGtcREEQRBEVNI9YA3p8YRPvOfmsZ9C6LXtigFAAoCfcs5/LT5WxhizAvg9gEsAfBKKQUoXD4aFf/rTn5Cbm4v33ntPMicSBEEQBOGB9ERzSI8nfOI6CC5M5c9zHo5tF39/5PL4v8XfowPjVSQoixrn/K8AXlJnKLFFWVlZuIdAEARBhIHi/Axkp5h9jlErzs/wchQRIDW+xqgBOAhgmZvHJZdnSOuoUHQiQRAEQWiIyWjAypJ8n2LUVpbkUSJB+HlH/H2Vy+PfFH/vCOXFQ9nrkyAIgiAIN6wpLcD+U13YeqTF4zG5qfF4+KIZGo6KcAfn/GPG2PsA/psxZoCgmBUD+DGADzjn3tshBQmp6QRBEAShMSajARtWLEJ64uiC7iaj4FFr6R3C67uoG41OuA1C4sAqCLFpawD8DsDNob4wWdQIgiAIIgwM2OzoHhCKu9+8cAounZeL9EQzZuQk4/pnv0Jj9yB+/mEV5k8dh3OnjgvzaGMbzvkAgP8SfzSFLGoEQRAEEQYON4zUSb2iaAKuLJqIkoIsjE9LwNo7FyLOwGCzczyyaS+6+qlER6xCihpBEARBhIFKhaJWOCnN6blFeRn4r6vmAADOdA3gybcOwOGgTjaxCClqBEEQBBEGqhoFRS0jyYSJ6Qmjnn/g/Om4onA8AODTIy3Y8PkJTcdH6ANS1AiCIAgiDEgWtXmT0uCuCxFjDL+5+VxMy0wCAPzvx0ex80T7qOOI6IYUNYIgCILQmKFhO4419wIACielezwuPdGE5+5aCHOcAXYHx+Ov70Nr75BWwyR0AClqBEEQBKExx5otGBZjzlzj01wpmpyOn1xbCEAo2fGfb+yDneLVYgZS1AiCIAhCY6oUiQTzJnpX1ADgjiVTcf38SQCA7TXt+MOnx0I2NkJfkKJGEARBEBpT2dANAEgwGTAjJ2XM4xlj+MUNZ2NmrnDsn7Yew+fVrSEdI6EPSFEjCIIgCI2RMj7nTEiD0TA6kcAdyfFxWHfXQiSajOAc+Pab+9HYPRDKYRI6gBQ1giAIgtAQh4PLrs+x4tNcmTU+Fb+8sQgA0NFnxWOv7YPN7lB9jIR+oBZSBKEiNrsDFXWd6B6wIj3RjOL8DJiM9H1IguSjDSRnfVPf0Y8+qx2AUJrDX25YMAW7ajvx+q6T2FPfid9sPoIfXD0vauc9Wt+Xr5CiRhAqYLM7sK6sBhvL69BmGWn1kpMSjxUleVhTWhBTG4srJB9tIDlHBlVOHQk8l+bwxo+vnYcDp7pQ1diDP39Ri+aeIWyvaYuqeaf1LMA4DzrFl3KEiZjGZndg1cYKbDvaCgbnD4T0//I5udiwYlFMbCqukHy0geQcOfxm8xE8V1YDAwOqfnYlEkzGgM5T396Hq//wBSyidS6a5j1U67myshJFRUUAUMQ5r1R10CEicmaNIHTKurIabDsqZF+5fmuR/t96pAXry2o0HZdeIPloA8k5cpA6EhTkpASspAFAXlYyLp6TK/8fTfNO63kEUtQIIghsdgc2ltdhrJwtBmBjeX3MBf2SfLSB5BxZVAaYSOCKze5AuQ8tpSJt3mk9O0OKGkEEQUVdJ9os1jH9/xxAq2UIFXWdWgxLN5B8tIHkHDm09A6izSK0gAo0Pk1CmvexiLR5p/XsDClqBBEE3QNjb5LBHB/pkHy0geQcOVQqOxIEaVGL1nmP1vcVKKSoEUQQpCeaQ3p8pEPy0QaSc+TgnPEZnKIWrfMere8rUEhRI4ggKM7PQHaK2adYipyUeBTnZ2gxLN1A8tEGSc5jQXIOP5KiNnlcIsYlBadgROvnK1rfV6CQokYQQWAyGrCyJN+nWIqVJXkRlR6vBiQfbTAZDZg/ddyYx5Gcw4/U43OuD43YxyJaP1/R+r4CJbrfHUFowJrSAixXpMi7Y3F+BlaXFmg0In2xprQAcyakun1O+sa8fE5uzMpHDQ6d6cZnigbdrpYIkrM+6B20oa69H0Dwbk8J5f7jyQIVifsP7RsjkKJGEEFiMhrwyxuKvB7T3DOIAZtdoxHpC5PRgOR4oVYUc7mTZKfE48nLZkdcMU490TNow6Ov7YXNzmFgwK3FU5CdEu90TGaymeSsA4409cp/q6WomYwGbFixCE9eNnvUvEtE4v5D+8YI1EKKIFRg78ku+e8fXj0XUzISkZ5oRkV9B377cTVOdgzge387iHV3LwRz3XWinBOtFuypF+TzwPnT8eHBRjR2D6I4LwOvr1oWExttqOCc47t/O4B60Urz3SvmYE1pAWx2B17+qg4//9dhAMBPv1WIa86dFM6hEgAqz3TLfweb8anEZDTg8UtmYXVpgVNPzN11HXhmS2TuP677RnVTLz4/1oaUeCO++q+LYY4LvFBwpEE7JEGoQHmNUHTSHGfA3cvycGXRRJQUZOHR0pm4+KwcAMDmyia89FVdGEcZHt7ec1r++/bF02RLQteAjZS0IPnLV3X4qLIZAHDJnFw8fOEMAMKN++6SPJhF+e6q6wjbGIkRpNIc6YkmTB6XqPr5TUYDSgqy5P3nsYsjd/9x3TdKzxLcu5Yhu0+146IJ2iUJQgV2iNXBF04b59QSxmBgeObW+fKm/Mt/Hcbek9FdnFGJ3cHxzl5hw104bRxm5qZgRk4KAKFP4XCUVxQPJXvqO/Er0WI2eVwifnvruTAYRqwlCSYjFkwTEgx2+FC9ngg9VY0jHQm0sGxF6v7jbt9QuoqVJU5iAVLUCCJIWnuHcKzFAgAomZE96vmMZDOevWshTEaGYQfHY5v2orMvNr4Rfn6sFc3UdF+5AAAgAElEQVQ9QhX2W4qnAgBmZCcDAGx2jtOdA2EbWyTT0WfFY6/txbCDw2RkePauhW5LPZQUZAEAqpstcjV8IjxYhx2obhZi1OapkPHpKxnJZqy9c0FE7T/u9o25CkWtkhQ1giD8QWmtkG6MrsyfOg4/+OZcAEBD9yCeeGs/HI6xks8jn7crhG/FCSYDrjlnIgDIFjUAONFmCcu4IhmHg+Pbb+5HY/cgAOCHV8/zWJqjZMbIeiSrWng51tILm134zBdO1k5RA4AF0zLwVATtP+72jbQEE6ZlJgEYKXESK5CiRhBBIjVFjo8z4Nypnnv33fONfFx9trDplB1txbrPajQZX7jo7LNiS5UQP/XNoolITTABAGbkJMvHnGjtC8vYIpnnyo7jc7EUx9VnT8TKkjyPx86fNg7xccI2L8VREuHBuSNBcD0+A+HeCNl/PO0bwEimrORCjhVIUSOIINkh3gCL8zMQ7yUTiTGGX990NqaLrr/ffnwU22vaNBljOHhv/xlYxRi0m4unyI9nJZuRliAknNeQouYX22va8MyWagDA9Oxk/Pqms73GOsXHGbEoT6jaXk4WtbAiuevi4wyy+19LpP0nP0uwSul1//G0bwAjLuPTnQPo7rdpPrZwQYoaQQRBc88gTrQJyobSzeSJ1AQTnr1zIeLjDHBw4D9e34+WnsFQDzMs/E3M2pqSkYhl00dkwxiT3Z8nWsn16SstPYP4j9f3w8GFm/1zdy10sjZ4QlqXJ1r70Bylay0SkCxqcyakIi5M2c6pCSY8d9ciXe8/0r4xNdN53wCcXcaVjbHj/iRFjSCCQOlO8hSf5sq8SWn42XWFAIA2yxAef31f1GU/VjZ0yxaEWxZNdcpGBEbcn5KSS3hn2O7A46/vkxMCnr6uyOcWRMp1SXFq4cHh4LK7bl4Y3J5K9Lz/KPeNmxeO3jeULuNYyvwkRY0ggkBS1JLMRpwzZexeixK3Fk/FTQsFs/7O2g787pPqkIwvXPxNDAZmDLhp0eRRzxeIFrXW3iH0DsaOCyNQntlSjZ21Qi20mxdNwa2Lp/r82nOmjEOiWDKG4tTCw6nOfliGhgGoW+g2UPS6/4y1b+SmxiMrWchuJkWNIAifkOJ+ivMz/SreyhjDz68vwlnjhV52z26rwbYjLSEZo9YMDdvx3v4zAIBvFGRhSkbSqGOUMTqUUOCdrUea8VyZEPh91vhUPH2d93ZlrpjjDCjOpzi1cFLplEgQfkWNMYanry/E7PHCFyY97D/WYYe8b5xXkO1232CMyYpuLJXoIEWNIALkTNcATnYIrXt8iU9zJdFsxLN3LUSyWbB2PPHWfpzpivy6Yp8ebkGnGOh7a7F7y4+yREctuT89crqzH0+8eQAAkGw24rm7FyLR7H/rHMn9Wd/ej4YoWGORhmT9MTBg7oTwK2oAkGSOw3N3LdLN/vPp4WZ537jFJYlAieT+PN5qwWCE9S8NFFLUCCJAdgQQn+bKzNwU/OqmcwAAXf02PLppL6zDDtjsDpTXtGPzoUaU17TDppMYEl/4W8UpAEBqQhyuKJzg9pi8rCS50TIlFIygnPcvqlvxyKa96B4Qbl6/vukc2WXsL8ovEuT+1B6p7tf07OSAFO1QMTM3Bb+88WwA4d9/3vJh3wBGXMd2B5cLCEc71JSdIAJEciOlxMehKAh3xrfOnYTdtR14ZUc99p/qwm3Pl+NUR79TP7uclHisKMnDmtICXffHbO4ZxGdija9vnTvJqZ2WkgSTEVMyEnGqYwA1ZFGDze7AurIabCyvc9vH8O6l03BtEE3Vz56cjpT4OFiGhrHjRDtuWuTZYkGoj+SmC0f9tLG4bv5k7K7rwKs7ToZt//F13wCcXceVDT1+xQZHKvrd8QlC50iWiSXTM4NOt//hNXNlZW/fya5RN+s2yxCe2VKNh1/Zo2vr2jt7T0MqeH6LB7enxIxsqURHbCtqNrsDqzZW4Jkt1Wj30Gz6dNdAUPMeZzRgMcWphYXW3iG09ArZunqIT3PHj66ZF9b95929Z3zeN/KzkpEkWiVjJaGAFDWCCIBTHf1yPMeyGZlBny8+zoilXuLcpGYvW4+0YH2ZPiuKc87l1i+zclNw7hTv1gOpREdtm0XX7WxCzbqyGmw7KlgTPEmh7Ghr0PO+TFxfpzsHcEqMrSRCj7KKvh4yPt0Rzv2Hcy6HS/iybxgNDHMmCElYsdJKihQ1gggAp/ppbhqx+4vNPpLx5A0GYGN5vS6tantPdsp10W4tnuq1Yj4wklAwaHOgUWdFN7XCZndgY3kdvEtKnXlXxlGSVU07lMqEHl2fQHj3H3/3DWBEjocbe2GPgS95pKgRRABIN7q0hDhVviVX1HW6jU1yhQNotQyhoq4z6GuqzVu7BWua0cBw/YLRNZBccS7REZsJBdK8j3WrUWPeCyelI1Vs3bWDEgo0Q4pPm5iegEyxBpjeCOf+I9VO83XfAEZcyAM2O+raoz90ghQ1gvATzrkiPi0LRsPY3wDHontg7E0ymONDTb91GB8cbAAAXHxWLnJS48d8DTVn13bejQaGpdMFN335iXZwHv2WCD1wWFTU5vnYSSIchGv/6bcO4/0Dwr6xfI5v+wbg7EKOhXpqpKgRhJ/UtfejSXTVBVqWw5X0RP++aft7fKj599dN6LMKNY1u9VIDScmEtAQ5KDhWLWpaz7sUp9bYPYj6dopTCzV9Q8OoFS0+ek0kAMK3/yj3jVv8yESePT5V/oIcC3FqpKgRhJ84x6epo6gV52cgO8XsU6xSTkq8XGleL0g1kLJTzLh4Tq5Pr2GMYXp2bPf8LM7PkFvieEOteac4NW053NgDyXAZ7h6f3gjX/vO3Pf7vG4BQ3mdWrhDjGguZn6SoEYSfSDe4jCSTnH0ULCajAStL8n2KVVpZkqerWmon2/vlPpTXz5/s19ikhIJYdX3GGRiyfXD3qDXvcyekYVySCQAVvtUCZcanni1q4dh/Trb3Y8cJYd+4YYF/+wYw4kquauiJeje+fnZ7gogAlPFpS6dnwaBCfJrEmtICLBe/VXo661njU7G6tEC1a6rB2+K3YmDsGkiuSAkFZ7oGMGCNjXYwSl7deRJHm0aqq7vOu/T/8jm5qsy7geLUNKXyjKCopSXEYUpGYphH4x2t959g9g1gJE6tvc+K5p4hVcakV0hRIwg/qGntQ5tF2BTUik+TMBkN2LBiEZ68bDayU5ytLAZFu6Ujjfppm2J3cLy9R8jaOndKOs7y08KoTCiItZ6fB0934en3qwAAualmrL5oxqh5z06Jx5OXzcaGFYtUs6JK7vrW3qGYdTlrRWWjED81b1KaT2UnwomW+4/rvjF7vP+eCWWpk2iPU6MWUgThB8q4HrUVNUDYLB+/ZBZWlxagoq4T3QNWMXCX4+4Xd8Hm4HjktT344LELkC66sMLJ9po2NHQLiRU3B/CtWNm78kSbRbcFQdWmu9+GRzbthdXugNHA8Oxdi7A4PxNPXn6W07wX52eo7uYuKRip+1de0x5w/1DCOza7A9VNQpKMXuunuaLV/qPcNwKxpgHOWbRVDT24ZO74gMejd8iiRhB+INWfyko2y8GsocBkNKCkIAtXFk1ESUEWSgqy8b0rzgIAnOoYwHfePqALt5VUAyk+zoBvBdCLcnp27JXo4Jzjyb8dwOlOobPF/73yLCzOF9yRrvMeiljEWbkpcj0vSigIHcdbLLCKhWH1XJrDHaHef5T7RqA9bNOTTLI7OdpLdJCiRhA+wjnHDvHGtmxGluaujIcumIFL5woxJFuqmvHCF7WaXt+V7n4bNlc2AQCuKJyA9ET/v2Enx8dhQloCgNgp0fHnL07gk8PNAIBL547HQxfM0PT6BgOT257tpDi1kKFUHgonR5ai5g619h819g0JKUFDcjFHK6SoEYSPVDdb0N4nFHpcFgK351gYDAy/vWW+/C3y15uPoKKuQ/NxSPzzYAOsw4LF4BYfa6e5Q4pTi4V4qd11Hfh/m48CAKZkJOK3t5wbltglKU6tzWLFsZbYUJC1RiobYY4zRIV7Wa39R7lv3Bqg21Ni3kTBpXyqYwDdA7agzqVnSFEjCB8pr2mT/1arfpq/pCeZ8NxdC2E2GmB3cDz22j60W8KT8SQ1Up48LhHfKAi836msqLX2RbV1p80yhMde2wu7g8NsNGDdXYvCFmfoVE+NynSEBCnA/azxqboqpxMMauw/bzvtG8Hto8qSJ4cbo9f9GR2rhyA0QIrnyUmNR4EiW1FrzpkyDj+6Zi4AoKlnEN9+c7/mjYmPNvXi4GnhRnTTwslBtdGakS1YGyxDw2jtjc40e7uD49tv7JfLCPzo2nk4e0r4AswLclLkdj2kqKkP51yuoabn+mmBEMz+c7SpFwcU+0aw5Y2ULuVojlMjRY0gfMDh4HJR15IwxKe5cveyPDkI94tjbVj7/9m77/g4qnPh47+zq14sWZYld8mSKy64yMaiBGFDQgo9kIApBpKAk0Bu4vvem9ybBHKTQNrrFIpxQnBiOrw4kAAXMG5gkLsNuNuy5W6r97banfePmVmvpJW0K81WPd/PZz+2Zmdnz+zOnn32lOesPRzU5zdb0wC+Ort/3Rcd1vyM0u7Px9YeYuNhvUX2mgtHcPtFY0JaHqWUezmpTUcrcQU50I92J6ubqW9pB6IvUIO+1z9W1hugL0M32GiVjuYVCiRQE8IH+87WUdOkj4EIRFoOfymlePTGae4g5w9rDrLxUEUvj7KGw+niHztPATAvL4MxQ5L6dbwOKTqicObnh4fK+eOaQ4AelD5647SQB/pwvvu+psnB/rPhk5svGnjm9YrGlDPe6p+PDvdc/zicLl7fZV29YZbDTH0SzbnUJFATwgeBWN+zv1LiY3hy4SwSYm1oGnzvpZ2cMxaLD6S1+8vckyputuBX8Yj0ROJi9Koo2mZ+nq1t4d9e2oWmQUKsPi4tJT480lfKup+BY3bDKQWThkVfoAb+1z/r9pdR0WBdvWEyWywPlzXQ2h6dq5tIoCaED8w16YanJZBjwS9Bq0waNoifXzcV0JdSeeCFnbQbuZsCxcyBlBIfwxenDev38ew2Ra7xmkZT16fD6eKBF3e4g9pfXD/N75UbAil3SJI7NcomCdQsZXbDjc1MJjlMAvNA8Kx/Khp6rn9esbjeMJktlu0ujUPnouuHnkkCNSF64XRpbD4auvxpvbm5YDS3GOkxtpRW8dv3DgTsucrqW1h3oAyAr0wfTlKcNV9C5oSCaGpR+927B9haWg3A1wpG89XZfU9hEgj6OLXz+dSCPSElmpktapGW6LYvOtc/v3vvYJd9yutbA1JvQMcxgNHa/SmBmhC92Hu6zj0wOFy6PTv7n+umMslorVm+4Qjv7z0XkOd5fecp9xd6f3KndWaOdTlR3ezOsRTJVu89x/IPjgAwaVgqP7tuSohL5J3Z/VnX0h7V6Q2CqbKhlbNGF2CkLB3VX571z1MbSlizr2P9E6h6A2BsZgoJsXooE60zP6MmUHM4XRSXVPLO7jMUl1TiCHD3T7DKE63nFUmKj3jkTwuDiQTeJMTaeXLhLPf4pyWvfsKJqiaLr8MKVmwsBWBsZhKzxgy2qvjkGRMKnC6N41XB6/4MxOf0n7tO8YOXdwJ6N8+y22eTEGu3stiWKczruO5nuIuE+mevR8AbjTM+velc//zgFc/6p4JnNuqrGFhdb4A+dMIcBxitMz8jvvPc4XSxbH0JK4tL3QMVAYamxHNHYQ6Li/KDmmzQqvJE63lFIvMLbGR6IqMzwmd8Wmd5Q1P49U3T+c4LO6htdvDVpz6m3aVRGYDrsKyulcfWHrbsffdM0VFS3si4rMCO5Qr059T06I3TOqxnGm5GZyQyMj2RUzXNFB+p5JufC+5yVr6KpPrHs1UnGmd8dqdz/XPzUx/j6FT/WF1vmKaMGMSuEzXsO1OHy6X1Oz9buAmPK7uPHE4X31q5jaWrD3a4GEDPAr509UHue3Z70H51WVWeaD2vSNTudLnHGYVra5qnL08fzp3zcgA4V9casOuwqc1p6fuenxm8FB3B+Jya/rHzVFh/LjzzqW05WhXwiSh9EWn1jxmoZQ+KJzMlPsSlCS7P+uesl/rH6nrDZHYxN7Y5Ka2MnglJpogO1JatL2HdgXIAOg+DNf9eu7+Mp9aXRFR5ovW8ItFnp2ppaA3v8WmdpSd3vyxRuF6HaUmxDEmOAwI/oSAYn1NTJHwuzB8gDa3t7A7DrqNIq3/2GgPaB8r4tM6sqn/84dlyuTcKx1pGbNenw+liZXEpiu4rSQAFrCw+xv0Bbhr3tTygD7ZE4XXZHadL0+/vRbidV7DKE2ye+aUioUXN4XTxwubjEXkd5g1NprKxLaApOqL1c9ofndf9nDE6PYSl6SjS6p+mtnb39TsQZnx25mv9Y/X7NWlYKnabwunS2HO6jq9MH9HvY4aTiA3UtpVWex0T0pkGlDe0sq20OqBftL6WB/Tm2f/rZQqzP8LtvIJVnmAzx6flDEliRHpiiEvTu0i+DvMyU9haWh3QFrVIfn0CZWR6ImMykjhe1UTxkUoWF+WHukhukVb/7DtTj2ZEKANlIoGnUL1fCbF28ocmc/BcQ1TO/AzPn3g+qG32rbLt6/7+CvTxQ/W84fY6B1Nbu4tt5vi0COn2jOTr0JxQUN3koLoxMOcRya9PIJnX97bSqrAZ6wWRV//s9cjjNRC7PkP5fpktmNE48zNiW9TSEuMCur+//D3+3++Zw0Vju375bz5ayV3PbA3Y8/or3F7nYPrsVA3NDn1JknBtDekskq/DPM81PysamJ2c0e9jdhbJr08gFeYP4eVtJ2hqc/LpyRpm51j/2vdFpNU/5vio1PgYRg0O/xZ4q4Xy/ZoyIo3Xd52moqGVsroWsoxVN6JBxLaoFeQOJjMljt4m4Sr0KdwFudbmbvFWnvSk7gdRdi7PxfmZJMTau9wuzs+M6PMKdHmCyTOv1LwIaVHz93MRTtdh5xQdgRDJr08geV7f5nJp4SDS6h+z223yiEFRlyLCF6H8Xu64QkF0tapFbKAWa7dxZ2FurwOCNeDOwpyADzBtcfi2GGxv5YnW84pE5kSCvMxksiPk15lV108orsMxGUnEGF9ugUrREcmvTyANS0tw53sLp8S3kVT/OJwu9p+tBwbm+DQI7ecimmd+hnft0YvFRflkD+o5T01Wajz3XR7YJI6apvHD1z6jpsnh3tb5F4X59/xJWdzfy2DdxUX5zJ+U5fU4pkg8r0jS2u50j0+bFyHdnqaerh+rrsNAvO+xdhtjjITCgZxQsLgon6KJQ73eF86vT6CZrWrbjlXR2u5bgBRIvtQ/pmDUh705Ut7oXv5sIM74NIXqc5GeFMdIY8JXtK35GdGBWrPDSU2TPhgxPqbjqcTa9UuirL6VF7ecCGg5/v5xKW99dgaAy8Zn8oMrJ3RJdJiZEs+Sqyaw/I7Zvf6KiLXbWH7HbJZc1fU44XZeaYmxPp9XJNl1vIZWo9KNlIkEpp6uH6uuQ3+O4w+z+zOQKTpi7Ta+edlYr/eF++sTSOY4zBaHi09OhP6Lzpf6J5j1YW/2DPCJBKZQfi7MVrVo6/qM2MkEAG99eobWdr2R9YmFM0mOi6W2uY20xDjyhiZz3eMfcbauhV+8tZcZo9O5MAD5gXadqOGXb+8DYHhaAn/8+kwykuNYfEU+20qr3eUpyB3s14UZa7fxwILx3F/U8Th5Q5O5/omPOFMbuvN6f985Fj+3A4A7C3N5YMF4y58/1Dzzp0XK+DRP3V0/Vl2H/h7HV3lDU2BfGccqG2l3uogJUJBjrjYB8NTtswAi4vUJpHl55ycQFJdUMnds6CYU+FqvBqs+9IUZHMTZbYzLSull7+gWqs/FBcMHsXrvOY5VNlHf4iA1offxjZEgogO1V7bpv6CGDUrgionZXRJTPrFwJl9bvgmHU+Pbz+/grQcvJT3JulkmNU1tfOf5HTicGjE2xeO3zSLDyK4ea7dZMlPQ23Eevy205/XFqcMZl5XC4bIGtpSGz3gWK5njdMZnpTA0NXKXgQnkdRgI5jgph1PjVE0zOUMCs06m5/t79dTh/T5esF6fQMpKTXB/rouPVPA9QvMDzN96NdD1oa/MtBDjs1OIi4msID1Qgv258BwbuO9MfUh/bFgpYq+mw2X17DxeA8BNs0d6zR4+OyeDH35xEgCnappZ8sonuFy9DXP0jcul8YNXPuFUTTMAP/ziJGbnBGfGUTicl9kduON4jc8DfiNFi8PpvrYi/cs30uR5LGAeqAkF8v52L9Sf677Uq4GsD32laZq763OgTiQIB1NGnu9yjqZxahEbqL26/aT7/1+dPbrb/e69dCyfvyAbgDX7y/jzh0csef7lHxxh7f4yAK6eMox7L/U+5iVQ7r10LF+YErrzMr/g2tpd7Dhe7XWfSLXjWDVtzsgcnxbpPHOplQRoQoG8v90L9ee6r/VqoOpDX52sbqauRV8TeCCPTwu1EWkJpCXq3Z3RlPg2IgO1dqeLVTtOATAnd7C7u8QbpRS/vflC92yy3757gM1H+tddt/lIJb977wCgpxT4zc3TUSq4OXOUUvzmq6E7rw55l8JoOr8VPMenXSRf5EGVmRJHaoI+IiNQEwrk/e1eKD/X/alXA1Ef+sMzHcQF0qIWMkopd4tmNE0oiMhAbcPBcsrrWwG4uaD71jRTWmIsTy6cRVyMDadL44EXd7of76/y+lYeeHEnTpdGXIyNJxfOYlCIBiyG8rwykuOYNCwVCK8EmVbYZFTwk4alusfGiOBQSrlb1QKVokPe3+55fq6LgxjoWFGvWlkf+ssMCpSCyQM4NUc4MAO1Q2X17nQpkS4iA7VXt+ndnklxdr48zbeBwFNHpvHQNRcA+lTu772kVwr+cLo0vvfSTsqMD//D10xh6sjQNnOH8rzMX987T1TT3BYd49Sa25zsOqGPX4rE2Z7RIN9oIQ/EGDV5f3tnvi67TtQE5XNtZb1qRX3YF+Yan7lDkkmJj+g5ehHPbNF0ODUOnqsPcWmsEXGBWmVDK+/vOwfAl6YNJ9mPD8Vtc8dw/YwRAHxcUskf1xzy67n/+P5BPja6A26YOZJb5/bemhcMoTovs0J3ODW2H4uOcWrbjlXhcOoVuww0Dw0zl1pZfSv1LY5e9vaPvL+9C/bn2up6tb/1YV+Y46EGcqLbcOE5RjBaViiIuEDt9V2naTd+Id3iQ7enJ6UUv7xhmjvHzWNrD/HBwXKfHrvhYDmPrTsMwLisFH5x/dSgj0vrTqjOa15eBuauxUcq/C94GDLTNigF87wsxi0Cz3NCwVGLx6nJ+9u7YH6uA1Gv9qc+7IvqxjZO17YAMj4tHORlJrsT4EfLhIKICtQ0TeNVI3da7pAk5vRhQdfk+BiWLZxFYqwdTYN/e3kXZ2qbe3zM6Zpm/u2lnWgaJMbaWbZwll8tecEQivNKT4pj8jC9Ygqn9QH7wxyXc8HwQaT5sBi0sJ7n4uxWd3/K+9u7YH2uA1mv9qU+7CvPQeuSmiP0Yuw29zjLaEnREVGB2u5Tde5Fb786e1Sff3mNz07lkRunAlDV2MZ3X9iJw+l90KHD6eK7L+yg2lhv7pEbpzI+O7VPzxtooTgvs/vo05O1NLa297Hk4aGhtZ1PT+ofbEnbEDq5Q5LdLTpWTiiQ99d3gf5cB6Ne9ac+7I+9Z84HA9KiFh4uMLo/952pD3pOvUCIqEDt1e16a5pScNPsUf061g0zR7nHQmw/Vs1v3tkP6BVIcUkl7+w+Q3FJJY++tY8dRnLMW+eO4YaZ/XveQAv2eZlfeO0uja2lkTv70+F08WxxqXvg8ZyxwUleLLpKiLW7F1cusbDrc2tplfv9lfFpPfP8XK8sLnXXG30NdEJVr/paH/bnvDYc0LtV0xJjGRyCFRFEV2bLZkNrO8ermkJcmv4Lr/67HrQ4nLy+U8+ddtn4oQxPS+z3MR+6ZgqfnKhl75k6/vLhUc7VtfJxSQUVDW1d9r1geKp7NlG4C+Z5zc3LwKbApendSkUTs/pT9KBzOF0sW1/CyuLSDq/Pf/1jNwfONrC4KD/i1myMBnlDUzhZ3Wxp16eZF8ymYE6ULC0TKDNz0lGABvz6nQPu7UNT4rmjMMfnz0V3ny9TMOpVX+pDK86rttnBxY+u9es4IjA8Wzb3nK4jt4dcq5EgYq6k1XvPuTM/31Jgza+vhFg7Ty6cRUqcHYB/fnKaSi+VCei/lrwtUxWOgnlegxJi3VPpIy3xrcPp4lsrt7F09cEur09VQxtLVx/kvme3B6S7RPTMXErqaEWDZV0X5vi0aSPTQpb7MBI4nC7+/ZVP8PaqVzS0+vy56OnzZQpGvepLfWjVeflzHBE4k4cNwrysPLumI1XEBGrmklFpibFcOTnbsuPmZiZzxaTzrUDdfSUUH6niqfUllj1voAXzvMxuks9O1VJncTqFQFq2voR1RrdF59fH/Hvt/rKIet+jRb4xoaDF4eJMXUu/j1fX4mD3Kb3Cnifdnj3y/Fx05s/noqfPlylY9Wpv9aFV5yX1RnhIjLO7Z49HwwoFERGona5p5sND+gfjuhkjSIi1W3Zsh9PlUwZuBawsPhYxv5KCeV7mF59Lg20RMk7N4XSxsriU3n7LR9r7Hi08U3RYMaFg69EqzIY5SXTbPas+F+H2+bKqPgy38xLdM3PaRUOgFhFj1FbtOIlmVLL+5k7rzbbSaq9jJzrTgPKGVraVVkfEQORgntec3AzsNoXTpVFcUsn8Sda1eAZKtL7v0aJzio7Lxg/t1/HMNBN2m2JOroxP646/n4urfr/Bayb+htb2sPp8Ret5ie5NGTGIf35ymvL6VsrqW8hKTQh1kfos7AM1TdPc3Z6ThqVanqemtrn3D11/9g+VYJ5XSnwM00amsetETVDXB+yPaH3fo8WwQQkkxtppdjgtaVEzr8vpo9JkiZ8e+Eq2SNYAACAASURBVHudl1ZYM6Mu0J+vaD0v0b0OKxScriNrogRqAbPlaBXHKvUPzc0Foy1fDSAt0b/p1P7uHyrBPq/C/CHsOlHDntN11DY5wj6ZaLS+79FCKcXYzGT2nqnjSD9TdNQ0tbmXkpH8aT3z9zqfNTqdwV4Wtq9ubGOHsaZqIJ7XX9F6XqJ7nWd+RlpGAk9hH6iZrWmxduVev81KBbmDyUyJo7KhrdsBr6CPOchMiaegD6shhEKwz6swbwjL1pegabD5aCWfnzKsX8cLNPP16a0bI9Le92iSN9QI1PqZomPz0Sr30AnphuqZv/XGy/cXek1D4XC6KHx0TdjUq9F6XqJ7GclxDE9L4ExtS8Sv+RnWkwkaWtt5+7MzACyYlM2QlHjLnyPWbuPOwtweP3Sgjzm4szAnYnLjBPu8CnIHE2vXWzsjofsz1m5jxuj0XveLtPc9mpgTCk7VNNPicPb5OOb4tFi7oiBHxqf1xKp6I9zq1Wg9L9Ezc6hUpK/5GdZX0dufnqGpTa+gb7Yod5o3i4vymW9M3e7csWr+PX9SFvcX5QesDIEQzPNKiovhwlF64BMJ637uPlXLBo+FmqPpfY8W+R4TCvqzOPsm44fDjNHpJMZZN2M8WllVb4RbvRqt5yW6Z878PFrRSEMEL3EY1oGauWTU0NR4Lp/Qv1lfPYm121h+x2yWXDWBzE6tdpkp8Sy5agLL75gdcb+Ogn1eZrfS/rP1VDWG7yDauhYH33lhBw6nhkJPoBxN73u0yMv0TNHRt0CtsqHVvT6wjE/zjVX1RrjVq9F6XqJ7F3hMKNgfwd2fYTtG7Uh5A1tLqwG4cdZIYoLQNP7AgvHcX5TPttJqapvbSEuMM7r0IvcDF8zzKswbwmNrDwOw+UglX5w23NLjW0HTNP7j1U/dE1T+z9UT+XbROBxOV1S979FgbIcUHX2b+bnl6Pm8fpLo1ndW1RvhVq9G63kJ76Z0mlBQEKGpecI2UPt/xiQCgJtnW5s7rSexdltUDjgOxnnNyhlMnN1Gm5FcMhwDtWc+KuWdPWcBuGLiUO7/nN49Ea3veyRLiY8he1A85+pa+zzz0xwvGRdjY9YYGdjtL6s+F+H2+YrW8xIdjRqcyKCEGOpa2tlzOnKXkgrL0N/p0li1Q1+AfdaYdMZlpfTyCBEOEmLtzBijj1PbFIYTCnYcr+bRt/cBMDI9kaW3zMAWIeu3DlRm92dfW9TM8ZIzR6dbuqKJECL8KaXcaToieeZnWAZqHx4q56yxvt/NFq9EIALLHAd08FwDFQ2tIS7NedWNbXz3+R20uzRi7YrHb5vpNU+SCC/mCgVHyhvRtN7m2nVUXt/KoTI9wJNWDyEGJjPx7cGzDRG7pFdYBmqvbtO7PRNibXxlevh1n4nueX4hhkurmsul8f1XdnG6Vg/+/+tLk5kp3WARwUzRUd/aTrmfgb/n9ScTCYQYmMyZn21OF4fO9X+Vk1AIu0CturGN1XvPAfClqcNJTQjvDPeio5lj0omP0S+rcEnT8eT6w6w/oKfi+PK04Sy6ODe0BRI+67zmpz/M8WnxMTZ3l7wQYmCZMvL8hIJI7f4Mu0DtjV2naDOaJ78awNxpIjDiY+zMztFbq8Ih8e3HJRUsXX0QgLGZyfzqpmmWL0MmAie/Hyk6Nhk/FApyBxMfI+PThBiI8oemEGc0HkTqhIKwC9TMJaNGZyQyb6x0V0Qis5vpSHkj54yxhqFQVtfCgy/uwqXprSpP3DZLWmgjzMjBie5K1p8JBefqWtwzRaXbU4iBK9ZuY2J2KqCn6IhEYRWo7Tld634hvzprtMzIi1DhME6t3enigRd3uic0/M91Uzos0isig92myB2SBOBXig7PbneZSCDEwGbmU9t3us7vSUnhIKwCNXMSgVJw0+yRIS6N6Kvpo9JJNFIhhGqc2tLVB9lsJDu9adYobpHZwxGrLyk6zOsuKc7O9FEyPk2IgcwM1Opb2zlbG7penr4Km0Ctrd3FG7v03GmX5GcyanBSiEsk+iouxkZBbujGqa3bX8aT60sAmJidyi+unyrj0iKYOaHgRHUzbe2+Ta/fdNQcn5YhmeKFGOA8e1MOl0XezM+wqcHW7DtHdZMDCOwC7CI4zO6mY5VNnK5pDtrznqpp5vuv7AIgOc7OEwtnyULcEW5sph6oOV0ax6t67/48XdPsXiJMxqcJISYNG4T5W72kj8mzQynkgZrD6aK4pJIn1ulrRKbE2/nClGEhLpXor3l5wRmnZl4/7+w+w4cHy/n2c9upMQL+R2+aLqtaRAEzlxpAiQ8zPz272+flRebafkII6yTHx7h/8O04Xh3i0vgvZGt9Opwulq0vYWVxKRUNbe7t7S6NP39whMVF+dJlEcGmjUwjOc5OY5uT4pJKbpxlbStpd9ePaeHcMVx74QhLn1OERr6fudTM7vaU+BimjUwLWLmEEJHB4XQRY0xO3Hemvk/HUEoNB14H8oEMQAEbNE0rsqaU3QtJJORwuvjWym0sXX2Qyk5fsi0OF0tXH+S+Z7dH7HIPQp8SPWes3pph9Ti1nq4f06naZrl+okR6UhwZxnJfvkwoMFvU5uQOJkZ+7AkxoJnfFwf7vypBPjAXvYHrYL8L5oeQ1GLL1pewzsgU391E2bX7y3jKGBAuIpM5PuhkdTMnqposO64v18/6A+Vy/USRPKPb4mgvKTpOVDVxyhgTKWk5hBCe3xf99BFg0zQtHbjWigP6KuiBmsPpYmVxKb3NwVPAyuJj0ioSwTy/KK1qVZPrZ2ByL87eS6DWIX9aXmZAyySECG++fl/4QjNYcCi/BT1Q21ZaTUVDW7ctISYNKG9oZVtp5A38E7opI9JITdCHQW6yKJ+aXD8DkzmhoKqxjZom793dcP4HwaCEGElwLMQA18v3RZFS6tpOtwuCW0LfBH0yQW1z95WsFfuL8GG3KS4am8H7+8ooPlKJpmn9zmcm18/AZHZ9gj7zc3ZOXJd9NE1zt6jNHTsEu6xsIsSA1kv9/7iXbRuAooAUph+CHqilJXatYK3cX4SXeXlDeH9fGWdqWzhW2USuxxduX8j1MzB5pug4Ut7A7JzBXfY5VtnEWWNtWRmfJoTopf7/LnCi07bDgStN3wU9UCvIHUxmShyVvXRfKSAzJd6d4V5Eps7j1PobqBXkDmZIchyVjT23lMn1E13GZCRhtymcLq3bcWqe4yAl0a0Qopd4Y72maXuCXyr/BX2MWqzdxp2FuT6NMbqzMEdyqUW4ycMGkZYYC1iz7meMTZGZGt/rfnL9RJe4GBtjMozF2btJ0WFeX+lJsUwalhq0sgkhwpOv8Ua4C8m32OKifOZPygLoMhvD/Hv+pCzuL8oParmE9WzGODXQVyjo76SZ5zYf58DZ8wkL5foZOMxxat6S3mqa5m5Ru2hsBjYZnyaEoOd4I1KEJFCLtdtYfsdsllw1gcyUjq0jmSnxLLlqAsvvmC2tIVHC7P4sq2/tNb1CTz47WcvP/7UXgKzUOO6/PE+unwHETNFxrLIJp6tjwF9S3kh5fSsg3Z5CiPN6ijf8pZT6iVLqd8B/GpvylVK/M24Bq3hCtoRUrN3GAwvGc39RPttKq6ltbiMtMY6C3MHyBRtlOoxTK6kkf6j/62/WNjn49gvbaXO6sNsUTyyczZzcDJZ8fqJcPwOEOaGgzeniZHUTOUPOj3fsMD4tX/KnCSHO84w3Xnkvkduf6fOhHgLsHn+PApYY/38d2Nj3UnYvZIGaKdZukxlaUW5CVioZyXFUNbZRfKSS2+fl+PV4TdP49//3CSeq9Izz//GFiczJ1btT5foZODxTdBwpb+wQqJl5+oYkxzEh2/8fAkKI6BdrtzFjTHqfH69pWkhiJml6EAFnsynm5emB1eY+jFN7+sOjrN57DoArJ2fxrc/lWV5GEf48U3SUeEwo0DSNTUaL2ry8If3O1SeEEOFEAjURFOa4oYqGNg6V+b447rbSKn71zn4ARg1O5P/ePEO+iAeozJQ4UuP1H7SeYx0Pnmtwp2uZJ62rQogoI4GaCIrO49R8UdnQyndf2InTpRFnt/HkwlmkJcUGqogizCmlzq/56dGitknypwkhopgEaiIo8oemMNTIf+ZLoOZ0afzby7vcmeZ/8pXJTB/V97EFIjqY3Z+eKTrM62loajz5Q/uXUFkIIcKNBGoiKJRSzDNaOzYdrcTl6nmc2uNrD/PhoQoArrlwhN8TEER0MicUlNW3Ut/iwOXS2HRUD9QKZXyaECIKSaAmgsbslqppcnDgXH23+208VMEf1hwE9NxZj944Tb6ABdBxQsHRikb2n62npskByPqeQojoJIGaCBpz5id03/15rq6F7720E02DhFgbyxbOJiU+5FlkRJjIG9oxRYdn/rR5Mj5NCBGFJFATQTM2M5nsQcY4tSNdA7V2p4sHXtjpnsH3i+unMVHWbBQexmYmYzauHilvcAf8wwYlkDskKYQlE0KIwJBATQSNUsrd/bn5SGWXZYB++94BtpRWAXBLwSi+OntU0MsowltCrJ0RaYkAHC5vYLM5Pi1fxqcJIaKTBGoiqMxxRHUt7ew7U+fe/v7ecyzfcASAScNS+Z/rpoakfCL8md2f6w+UU9/SDkhaDiFE9JLBPyKoCvPOr8P40pbjXDo+k7Z2Fz9+fTcAKfExPLlwFgmx9u4OIQa4/KEpfHiogqY2p3vbnNzBISyREEIEjgRqIqiGpcWTmhBDfUs7z20+znObj3e4/5EbpnWY2SeEJ4fTxfGqxi7bb1m+iTsKc1hclE+sXToKhBDRQ2o0ETQOp4v7nt3u7q7y5vVdp3A4XUEslYgUDqeLb63cxtr95V3uq2hoZenqg9z37Ha5foQQUUUCNRE0y9aXsO5A1y9ZT2v3l/HU+pIglUhEkp6uH3Nailw/QohoI4GaCAqH08XK4lJ6m5engJXFx6RVRHQg148QYqCSQE0ExbbSaioa2uh54Si9ZaS8oZVtpdXBKJaIEHL9CCEGKgnURFDUNrcFdH8R3eT6EUIMVBKoiaBIS4wL6P4iusn1I4QYqCRQE0FRkDuYzJQ4n8YYDU2Jp0DyYgkPcv0IIQYqCdREUMTabdxZmOvTGKM7C3MkF5boQK4fIcRAJbWZCJrFRfnMn5QF0KVlxPx7/qQs7i/KD2q5RGSQ60cIMRBJoCaCJtZuY/kds1ly1QQyU+I73JeZEs+Sqyaw/I7Z0hoivJLrRwgxEClN660zoYcHK5Wwe/fuZgvLIwYIh9PFnlN1NLQ6SImPZcrIQfIFK3wm148Qoi8OHz7M9ddfDzBL07SdoS6PL/q71mf+1KlTLSmIEEIIIUSQjAYiIlDrd4saEE4DQvKBN4DrAFlHZuCQ931gkvd9YJL3fWCy6n2PQw/SNmiaVmtFwQKtXy1qmqa1AHssKku/KeUeYlyiaVrYlEsElrzvA5O87wOTvO8Dk8Xve0S0pJlkUIcQQgghRJiSQE0IIYQQIkxJoCaEEEIIEaaiLVArB35m/CsGDnnfByZ53wcmed8HpgH7vvdr1qcQQgghhAicaGtRE0IIIYSIGhKoCSGEEEKEKQnUhBBCCCHClARqQgghhBBhSgI1IYQQQogwJYGaEEIIIUSYkkBNCCGEECJMSaAmhBBCCBGmJFATQgghhAhTEqgJIYQQQoQpCdSEEEIIIcKUBGpCCCGEEGFKAjUhhBBCiDAlgZoQQgghRJiSQE10oJQqUkppSqmHQ12WYBvI5y6EECI8SaAmhBBCCBGmYkJdACHCyBZgMlAR6oIIIYQQIIGaEG6apjUB+0NdDiGEEMJkWdenUmqRUuo1pdQRpVSzUqpOKfWRUup2L/uuN8YCxSqlfqqUKlFKtSil9iulvumx3/1Kqc+M451USv1MKdWlzH4+98PGc3d767S/zSjHVqVUg1Kq0fj/4m7Kohnnl6mU+rNS6oxSqlUptUcpdbefr+lppdRJL9uPGc/zk07bv2Rs/59O25OUUj9SSu0yyt+glCpWSt3ay/MXKqXeV0rVKqXqlVLvKqUK/DwHpZS6Syn1sVKq3HifTxjH+pqX/UcppR433stWpVSlUuqfSqk5XvY138sipdRtSqnNxrmVGmXXlFKreijbPuM5Moy/ux2jppTKUEr9Uim1WynVZLwmnyilfqWUSvay76PG8ZuNfdcopT7v5bhxSqkHlVI7lFLVxrFLlVJvKKWu9PFlFkIIEaWsbFFbBuwFPgDOAEOALwHPKqUmapr2Ey+PeQm4CHgbcABfBf6slHIA04G7gDeBNcC1wE+BJuDX/Xju9d2UfzRwD9DcafuzwG3ACeBpQANuAJ4ELgUWejlWOvAR0Ab8PyDBOLdnlFIuTdP+3k0ZOlsLLFRKTdI0bT+AUmocMMa4fwHwc4/95xv/rjE3KKXSjePMBHYAz6AH6F8AXlBKTdE07cdenvsi4EfA+8ATwDjgRuBzSqnPa5r2oY/n8EvjOEeBV4BaYDgwB7gZeNmjrLOA94AM4F1gFZAJXA9sVErdoGna216eYwlwFfAvYB2QpmlasVLqAPAVpdQQTdMqPR+glJoLTAJe0zStqqcTUEqNNY6bA2xHv95swATg+8BTQKOxbw76NZYLfAi8AyQDXwHeUUrdp2naXzwO/zfgVmA3sBL9+huBfm1djf76CyGEGKg0TbPkBuR72RaHHjQ4gJEe29ejBzxbgXSP7XnowU01+he752PS0ccOlQMxfX3ubso+CPgUcAI3emy/1SjnDiDFY3sysM2477ZOx9KM29OA3WP7BUA7sNeP1/Qe41jf8dh2n7HtPaAVSPK4byd6IBvnse1vxv7/0enYCehBhAuY4bG9yOMcvtvpMdcZ2w8BNh/PoRI46VlOj/syPf4fAxwGWoDLO+03AjiFHoTHe2x/2ChPIzDTy/F/5O08jPueMO67xsu5P9xp34+M7T/ydg5AQqdr2wV8vdN+6cAu9EAs29iWZuy7zfNa8XjMEKs+n3KTm9zkJrfIvAX+CfRWGA2402PbemPbAi/7rzXuu8fLfSuM+3L6+txe9olBb73RgB90um+1sf3zXh63wLhvbaftZuAwyMtjNhj3p/pY/hxj/1Ue214BzqG30LjLht6K6ALe89h3CHpwuLWb419oHOM3HtvMYMVrMObx3l3u4zlUogfd8b3sZwaBv+3m/u8Z93/JY9vDxrbfd/OYUejB99ZO2+OMcp3DI+jHS6AGzDa27fT2enTzer7ayzl+2/h7kPH3R4Dq62dMbnKTm9zkFr03y7o+lVJjgP9ED2DGAImddhnp5WHbvGw7bfy73ct9p4x/RwHH+vncpmXA54EnNU1b2um+WejBz3ovj9uAHgTM9HLfIU3T6rxsP2H8mw7UG92S/+Zlvz9omlajadoxpdQR4ApjPJyGHky8bzx/O/o5vwdcASj0QNc0B7AD3eUGizX+nezlvg81TXN52b4euBz9vDcopWagd016qtE07Q/G/58HHgD2KKVeNcpdrGlabafHFBr/5nRT1vEeZe3c/bnFy/5omnZSKbUGuEopdYGmaXuNu65B7179vaZp7d4e62Ge8e+73bwensxzSOvmHIYa/042ylenlPqXUZ5dSqnX0LtLN2v6xAYhhBAWUkolAPlAiaZpLaEuj08siPa0kpISbciQIZrNZtMuv/xy7YEHHtB+/OMfaw899JB21113aYD20EMPaabLL79c05+6K3P/o0ePdrnvoYce0gBt3bp17m3+PrenRx55RAO0L3/5y1p7e3uX++12u5aZmen1sZqmadnZ2ZpSqsM2QLv88st9OrejR4+aXYwdbp7n/s1vflMDtK1bt2q7du3SAO3pp5/WNE3TCgsLtdmzZ2uapmn333+/BmhbtmxxP/a5557zevzOt6KiIvdj1q1bpwHaD3/4Q6/nsGzZMg3QHn74YU3TNG3FihVdjpeTk+Pev729XfvDH/6gTZ8+3X1/TEyMdu2112qHDh1y7/eNb3zDp7Kaz6tp56+HtWvXdvMOadrzzz+vAdp//Md/uLddc801GqDt2rWrw77muXteL7/4xS80QPvTn/7U7XN03re326JFi9yPaWpq0h566CFt/Pjx7vsTEhK022+/XTt79myvzymEEMJ3u3fvNuvaKVoYtJb5crOkRW3p0qVUVlayYsUKFi1a1OG+F198kb//3dex88F77pdffpn//u//ZubMmbz00kvY7fYu+6SlpVFVVYXD4SA2NrbDfe3t7VRUVDBo0KA+lz03NxdN03rcZ/78+fzlL3/h/fffJy4uzr3N/PfRRx+lqqqKNWvWkJaWxqxZszqUH+D73/8+S5d2bizs2blz57xuP3v2bIdjL1q0qMvr7slut/O9732P733ve5SVlbFx40ZeeuklXn31Vfbs2cOePXuIj493H++NN97g2muv9ausSqlu77vhhhsYNGgQzz33HI888ghVVVX87//+LxdeeCEXXnhhr8dOT08H4NSpU73sef41+eMf/8iDDz7oU9kTExN5+OGHefjhhzlx4gQffPABf/vb33juuecoLS3lww99nbMhhAg2h9PFttJqapvbSEuMoyB3MLF2ySMvrGXJFXX48GEAbrrppi73bdiwwYqnsPS5P/74YxYtWsTIkSN58803SUlJ8brfzJkzcblcfPDBB13u++CDD3A6nR0Co0CYP38+SinWrFnD2rVrycvLY+zYsQAsWLAAl8vFs88+y6FDhygqKuoQcM6dOxebzdanL/uNGzficnXt6Vu/fj2gvzb+ysrK4sYbb+SVV15h/vz5lJSUsHv3bgDmzdN7GK0OTBITE7nllls4ffo077//Ps8//zzt7e3cddddPj3eLNe7777r9fXwtm9fz2H06NEsXLiQd999l/Hjx7Nx40YqKyt7f6AQIqgcThd/WnOIwkfXcOtfNnH/czu49S+buPjRtfxpzSEczt5GSYhIo5T6m+o5tde83o/SN5YEarm5ucD5L3HTu+++y9NPP23FU1j23IcPH+a6664jNjaWt956ixEjRnR77HvuuQeAH/3oRzQ1nR8y1NTUxA9/+EMA7r333n6eQc+ysrKYMmUKH330ER988AELFixw33fxxReTkJDAI488ApxvafN87MKFC9m2bRs///nPaW/vOhyrpKSEo0ePdtl+6NAhnnzyyQ7b3njjDTZs2MC4ceO47LLLei17a2sra9as6dJq6HA4qKrSM2IkJSUBcN1115Gfn88TTzzB2297y8ABxcXFHd4HX5ktfitXrmTlypXExMSwcKG3rCpdzZ49m4svvphdu3bx6193zgoDlZWVtLTowxwKCgq47LLLWLVqFc8884zX43322WeUlZUBUF5ezubNm7vs09jYSH19PTExMe5WVCFEeHA4XXxr5TaWrj5IZUNbh/sqGlpZuvog9z27XYK16PNz9HHInW8V6OPntwbqiS3p+vz2t7/NihUruPnmm7npppsYOXIku3fv5p133uGWW27h5Zdf7v0gQXruBx98kIqKCubPn8+qVatYtaprPtSHH34YgNtuu4033niDV155hSlTpnD99dejlOL111/n6NGj3HLLLT5/4ffHggUL3C1PnoFafHw8l1xyCWvWrOlyn+nxxx/n0KFD/PSnP+XZZ5/l0ksvJTs7m9OnT7Nv3z62bt3Kiy++6G6lM1199dUsWbLE3U14+PBhVq1aRUJCAn/961+x2XqP8Zubm7nyyivJzc3loosuIicnh5aWFlavXs2+ffu49tprmTxZn8cQGxvLqlWr+MIXvsCXv/xlLr74YmbMmEFSUhInTpxg69atHDlyhDNnzriDO19dcskljBs3jldffRWHw8E111xDVlaWz49/7rnnKCoq4r/+67947bXXKCoqQtM0Dh06xHvvvcf+/fvdPxheeOEF5s+fz7333suf/vQnLrroItLT0zl58iSffvopu3fvpri4mKysLE6dOsW8efOYPHkys2bNYvTo0dTV1fHmm29y9uxZHnzwQVJTU/06VyFEYC1bX8K6A+WAPtDJk/n32v1lPLW+hAcWjEdEB03TSoASz21KqcvRUzT9QtM0Z6Ce25JAbfr06axbt44f//jHvP3227S3t3PhhReyatUq0tPTAxqo+fvcZovM2rVrWbt2rbdDugM10Me5XX755TzzzDMsX74cgMmTJ7NkyRIWL14cmJPqZMGCBfzxj39EKcUVV1zR5b41a9aQnZ3NlClTujx20KBBbNiwgT//+c+88MILvPbaa7S0tJCdnc348eP5/e9/z1VXXdXlcRdddBE//elP+clPfsLjjz+OpmnMnz+fX/7yl8yZ02WRAK+Sk5P59a9/zbp16/j44495/fXXSU1NJT8/n2XLlrlbLE3Tp0/nk08+YenSpbz55pusWLECm83G8OHDmTlzJj/72c/IzMz045U776677uInP/mJ+//+GDt2LDt27OA3v/kNr7/+Oo8//jgJCQnk5uayZMmSDkHfqFGj2L59O4899hivvfYazz//PE6nk2HDhnHBBRfwwAMPMG3aNEBvDf7Zz37G+vXrWbduHRUVFWRkZDBx4kR+9atf8fWvf71P5yqECAyH08XK4lIUXYM0TwpYWXyM+4vyZcxadLsX/VLw3oViEdXbYHYf9PsAQgghRLgrLqnk1r9s8nn/F785j8L8IQEskfDXnj17mDp1Kuh5LUs63V2uaVqZL8dRSqWhJ2H/SNO0rq0dFpJF2YUQQggf1Da39b5TP/YXQfWGl20/Q0+k7otb0XO2/tWqAnVHAjUhhBDCB2mJ/k3u8Xd/EVReW9T8ePy96Cvc/MOyEnVDAjUhhBDCBwW5g8lMiaOyoa3XMWqZKfEU5A4OVtGE/0o0TdvTlwcqpaYDBcAfNU1rtbZYXckoRyGEEMIHsXYbdxbm9jowWwPuLMyRiQTRy8zLFdj8Ywa5ioQQQggfLS7KZ/6kntP7zJ+Uxf1F+UEqGD0sXAAAIABJREFUkQgmpVQ8cDuwRdO03cF4TgnUhBBCCB/F2m0sv2M2YzO953O87aIxLL9jtrSmRa/rgQyC1JoGEqgJIYQQfom122hx6CsPzMvL4NEbp2Izlhyub2mXIC263Qs0Ai8F6wnlahJCCCH8UNvk4EytvnTcZeOHcuvcHK65UF+O8O3PznC6pjmUxRMBpGna5zVNS9E0rT5YzymBmhBCCOGH/Wfr3P+fmK0v83bvpfoyfE6Xxt8/Lg1FsUSUkkBNCCGE8MOBc+cbUyYN1wO16aPSmZubAcALW47T2NoekrKJ6COBmhBCCOGH/Wf1QC01PoaR6Ynu7fdepreq1be08+q2EyEpm4g+EqgJIYQQfth/Ru/6nDAsFaWUe/uVk7MZk6HPBn3mo1KcLlkKW/SfBGpCCCGEj1wujYPnGgCYNCy1w312m+KeS3IBOF7VxPv7zgW7eCIKSaAmhBBC+OhUTTMNxvizzoEawM0Fo0lN0Fdn/OuHR4NaNhGdJFATQgghfGSOTwOYNHxQl/uT42O4be4YALaUVvHpyZqglU1EJwnUhBBCeOVwuiguqeSd3WcoLqnE4XSFukghZ45PA5iQ3bVFDeCui3OxGxlw/7px4LaqyfVjjZhQF0AIIUR4cThdLFtfwsriUioa2tzbh6bEc0dhDouL8gds9v39RmqOkemJpCXGet1nRHoiX5o2nH99cpq3Pj3DD784ieFpiV73jUZy/VhLXikhhBBuDqeLb63cxtLVB6n0+JIFqGhoZenqg9z37PYB2zpywOj6nOhlfJonMwFuu0vj7x8fC3i5woVcP9aTQE0IIYTbsvUlrDtQDkDn5BLm32v3l/HU+pKglisctDicHK1oBHoP1GaMTqcgZzAAL2w+NmAS4Mr1Yz0J1IQQQgB6a8jK4lJUL/spYGXxsQHXKnK4rMGdG83bjM/OvmEkwK1raee1HScDWrZwINdPYEigJoQQAoBtpdVUNLR1aQnpTAPKG1rZVlodjGKFjQ4zPod1nfHZ2VUXDGN0hj427ZmNR3FFeQJcuX4CQwI1IYQQANQ2t/W+Uz/2j3QHjMXYY+2KvKHJve5vtynuvlhvVSutbGLN/rKAli/U5PoJDAnUhBBCAJCWGBfQ/SOd2aKWPzTF51mLt8wZTWq8nmDh6Q+PBKxs4UCun8CQQE0IIQQABbmDyUzp/ctToadaKMgdHPhChREzUJvsJdFtd1LiY/j63NEAbD5axe5TtQEpWzgwrx9fxqgNxOunryRQE0IIAUCs3cadhbm97qcBdxbmDKhcWJUNrZTXtwK9z/jsbKAkwDWvH1/GqN0+b8yAun76Q14lIYQQbjfOHNlti4i5ff6kLO4vyg9WkcLCAY+JBP4GaqMGJ3H11GEA/OuT05ytbbG0bOFkcVE+F45K63W/M7UtaFp0T66wigRqQggh3J7fctzdIpKe1DHzfmZKPEuumsDyO2YPuNYQzxmfk32Y8dnZNzwS4K4sLrWoVOEn1m5j2kjvgVpmShxDU+IBeGnrCZ5YdziYRYtYsoSUEEIIAJra2nlh83EACnIG8+K35vGDVz7hX5+cxqZg3f+5nJR478smRbv9xozPtMRYsgfF+/34mWMGM2tMOjuO1/D85uN8d/44kuKi7ytY0zTWH9QT3hbmZ/Dg/AnUNreRlhhHQe5gqhrbuPHJjzlV08zv3jtI9qAEbi4YHeJSh7eB9ZNICCFEt17bfpLaZgegL4EUa7exYFIWAC4Njlc2h7J4IWV2fU4alopSvQ2X9+4bl+UBUNvs4LUdpywrWzg5VNbAyWr9Orly8jAK84dw9dThFOYPIdZuI3tQAn+/Z457ndQfrfqMDUZgJ7yTQE0IIQQul8YzH5UCMDojkc9P0cdUTRp+fjyW2ao00DhdGgfOnQ/U+urzF2QzanB0J8Bds+98rrj5RpDf2bisVJ6+q4C4GBvtLo3Fz22P6tmw/SWBmhBCCNbuL3OvY7no4rHuWYp5mSnEGP/3HFA/kByvaqLFoS93NMmP1BydxdhtLLo4F4CjFY2sjcIEuGv3nwMgLzOZsZndJwWek5vBn74+A6Wgqc3JohVbOVHVFKxiRhQJ1IQQQvD0Rj0Za2p8DLcUjHJvj4uxMS4rBYB9AzRQO+DRkujvjM/OvjZnNClGAtxoS9VR09TG9mP6slDdtaZ5unrqcB76ygUAVDS0cteKLVQ3ymoFnUmgJoQQA9zuU7VsOlIF6IFEakLHCQNmcHJggHZ97jtzPkCdkN2/QC01IZavzdEHzxcfqWTP6ejp8ttwsByzN3f+5N4DNYBFl4zlvs/pY/eOlDdy79+30uJwBqqIEUkCNSGEGOCeMVp2bAoWXZLb5X4zUDtX1zogWzzMLt8xGUnu1rD+WHRxLkZvclS1qpnj01LjY5iTm+Hz4/7z6klce+EIAHYcr+HBF3fijMLxe30lgZoQQgxg5+pa+NenpwH44rThjBqc1GUfz7xh+wdg96c5iaK/3Z6m0RkdE+CW1UV+Atx2p8s9e/NzE4b6lWfPZlP89ubpXJw/BID39p7j4X/ukYS4hpAHag6ni+KSSt7ZfYbikkocTleoiySEEH6J5HpsZXEpDqf+hXivkZS1M88AZaDN/Gxqa+eYMch9skWBGsC9l+rdfQ6nxoqPSiP2+jHtOF7jTu3iy/i0zuJj7Dx1x2z3rNpnNx1j2YYSILI/X1YIWbY9h9PFsvUlrCwupaLhfFP60JR47ijMYXFR/oDLfC2EiCyRXo81tzl53khwO2tMOrPGeF8ke3haAoMSYqhraR9wMz8PnmvAbNiZ2IcVCbozO2cwM0ansetELU9tKHEHJRA514+nNcZsT6WgaOLQPh1jUEIsf7t7Ljc++RGna1v4zTsH+PRELduOVUXk58sqITlDh9PFt1ZuY+nqg1Q2dBzvUNHQytLVB7nv2e0DLmoWQkSOaKjHXttxkpomM8FtXrf7KaWYZAQpA63r03MChWdOuf5yOF3ulszOHXyRcv14WmuMT5sxOp0hKf6v3GAalpbA3+6ZS2q8HYB39pztEKRBZL4+/RGSQG3Z+hLWHdD7sjtfoObfa/eX8dT6EoQQIhxFej3mcmnuSQQj0xP5wpTsHvc3uz8PnquPykSt3TED0/gYG7lDus8L5q9l60vYc9p7N3IkXD+eTlQ1caisAcC9kkV/TMhO5eppw7u9P9Jen/4KeqDmcLpYWVxKbwtwKGBl8bEBES0LISJLNNRj6w+WccRIcHv3JbnE9NKFZLYmNbU5OVE9cBKT7jdSc4zPTnEnAe6vaLh+PHkm7r3CgkDN4XSxzodkwJHy+vRX0AO1baXVVDS0dfkF2pkGlDe0sq20OhjFEkIIn0VDPfb0h3prWkp8DLfM6X1RbM+lkzzzikUzTdPckycmWTg+LRquH09rjKBq2KAELujHyg0m8/XpTaS8Pv0V9ECtttm/HDz+7i+EEIEW6fXY3tN1fFxSCcAtBaMZ1CnBrTeeiV4HyoSC8vpWqo0xfP1Z47OzSL9+PDW2trPJuJbmT87q84L1nqLp9bFC0AO1tMS4gO4vhBCBFun12F89Etze7SXBrTepCbHuBcUHSooOz4kTVraoRfr14+mjwxW0GV2PVoxPg+h6fawQ9ECtIHcwmSlxPvXND02JpyDX+3RxIYQIldk56STE9l59hmM9VlbXwj8/OQXA1VOHMTqja4Lb7pjBykBpUdtv4RqfnqLpe9AcnxYfY+Pi/ExLjhlNr48Vgh6oxdpt3FmY61Pf/J2FOQMiR4oQIrKs+KiUFkfvA5jDsR57dtOxXhPcdsfs/iutbKS5LfrXYzRb1DJT4hia2veUE51Fy/egpmnuQO3i/CEkxtktOW60vD5WCcnZLS7Kd2cu7iliHmk0swshRLh4Y9cpHv3f/YDeigDd12PzJ2Vxf1F+kErWuxaHk+c2HQP0fFfdJbjtjtmq5NLgUFn0t6qZLYdWtqaZfPkeDLfrp7M9p+soq28FYP7kntO7+EvihPNCEqjF2m0sv2M2S66aQGanxHiDk2KJM6Lj/3ztUz4uqQhFEYUQoouPD1fw769+AkBqQgyvLS70Wo8BXDk5m+V3zA6rX/urdpxyD46/99Kxfg/8njzccymp6A7U2p0ud26widnWjU8z9fQ9mBRnZ8lVE8Lu+unMXIQd+rZsVE/8ihMOR3ecELIlpGLtNh5YMJ77i/LZVlpNbXMbaYlxFOQOZmtpFXc9swWHU+O+ldt5dXGhpQM5hRDCX/vO1BmZ0DXi7Db+fEcBU0emM3Vkurseq2xs5aE3dlPZ6KC0shG7BTPgrOJyafx14xFAT3D7RWNRcH/kDkkmLsZGW7vLnV8sWpVWNtLWrndvW7kigafO34NLXtnF6doWxmWl8MCC8QF5TiutNZaNmjQslZHp1rds+RwnPLudV+4vZLIFqUHCUchD9Vi7jcL8IVw9dTiF+UOItesDEn9384UA1Le2s+iZrZyuaQ5xSYUQA9WpmmYWrdhCfWs7AL+75UIK84e47zfrsa9MH8F9l+tdVYfLGthwqDwk5fVmw6FySsr1BLd3XZzTa4Jbb2LsNsZnpQBw4Fx0z/z0zBVnZWoOb8zr59oZIwH47FQt5UaXYrgqq2/hk5O1gPWtaZ35EifcvSJ644SQB2rduW7GSH70xUkAnK1rYdGKLdQ2O0JcKiHEQFPb5GDRM1s4V6d/cf73lyZz7YUjut3/a3PGkGQMqjaXaAoHfzUS3CbH2fnanDF9Po45XivaW9TM8Wk2BeOzAhuomRZM1gMeTYP1B3rPzB9K6w+c/xFiljvYrpsxkv/6UvTHCWEbqAF863N5LLo4F4CD5xr41spttLZH/0wjIUR4aHE4+eaz29xjle6+JJdvXNbzTMm0xFhuKdAz/X94qCIsco7tP1vHRmMcz80Fo0lL7D3BbXcmG8NQKhvbwr7Vpz/M9y13SLJlsxl7M3N0OulJ+nuz1ocllELJXIR9cFIsM0aHLj3GNy+L/jghrAM1pRQ/+coF7rEUm49W8YNXPhlQCwILIULD5dJY8uonbDlaBcCXpg3jJ1++wKcB+Hdfkou5Wzi0qpmtaUrBPZf4l5KjM88ZkOEQhAaKOVkiUOPTvImx2yiaMBTQg3xzjFy4aW138qHRrV80McuyNVD7YiDECWEdqAHYbYrff20Gc4yEdm99eoZH3t4X4lIJIaLdL9/ex1ufngFgbm4GS2+Zgc3HL6ScIcl8/gI9XcHrO0+HtOWpvL6VN3adBuALFwxjzBDfE9x64zleK1oT39a3ODhZrY93CsSMz56Yi5o3tLaztbQqqM/tq61Hq2k08ugFenyaL6I9Tgj7QA0gIdbOX+4sYJwxiPXpjUfdS6AIIYTVnv7wiLuOGZ+Vwl/uLCAh1r/ur3svzQOgzeniWSN3WSg8u+mYe4mfe3vptvXF0NR4MpL1JXuiNUXHwXPnzysQOdR6cvmEoe4WKs/0F+FkjTHb025TfM5oAQw1b3HC0x8eCXGprBERgRpAelIcf7t7DllGduhfvLXX/WtXCCGs8uanp/nFW/qv8exB8fztnrmkJfk/pmtO7mCmj0oD4PlNx2hxBH/cTIvDyfNGkHjhqDQKcvo/lkgpxURjgfZo7fr0DEAnB7HrE/TvutnG+2Smvwgnmqa5A8iCnMH9Gu9ota5xwj7e/PR0iEvVfxETqAGMGpzEirvnkBIfg6bB91/exeYjlQA4nC6KSyp5Z/cZiksqcTjDs29fCBE+OtcbGw+X84OX9YS2KfExrFg0t8/5oZRS7iWaKhvbeH3nKcvK3RvzvH7x5l4qG9sAuKcPCW67Y47bOnSugfYorGvNGa1JcXZGD+5fV3FfmN2JpZVNHClvCPrz96SkvJHjVU1A6GZ79sQzTgD4wcufsMkjTth1vCaUxeuTkCW87aspI9J46vbZLFqxhTani2/8fSs3zBrF25+doaKhzb3f0JR47ijMYXFRflhndhZCBJ/D6WLZ+hJWFpd2qDcU+vqBMTZYfsdsLhjRv/FJX5o2nF/9737O1Lbw141H+dqc0ZYFS950d142BUfKG3E4XZbUh+Y4tdZ2F6WVTe7upmhhjr2bkJ3q87hEKy2YlMWvjGXK1u4vI29o+Ly+6/Z7rkZg7bJRVukcJ3zTI044ffSQJc+hlPoG8BegUdO0gL5BERnBXDo+k9/ePB2A+lYnK4uPUelRKQFUNLSydPVBI5N49P3iE0L0jcPp4lsrt7F09cEu9YY5T2xC9iDmjs3o93PF2m3cZaQOOFTWwAeHArfUTU/n5dLgj2sOWVYfeq4UE20TCjRNc3fpBjrRbXfGZaUwOkNvyQ23cWrm+LQxGUnkD00OcWm650uc0FdKqZHA74Cg9KtGZKAGcMPMUVw67nxm8M4Tcc2/1+4v46n1JUErlxAivC1bX8I6I1lndxP4956ps6zeuHXOGBKNiQiBnATly3lZVR9OyE51px+JtnFqZ2pbqGvRV6AIVaCmlGKB0Vq1tbSKupbwSOJa2+xga2k1oHfPBrJ12Aq9xQn98BTwAbDaukN2L2IDNYfT5dOMIwWsLD4mrWpCCBxOFyuLS+nt68XKeiMtKZZbCkYB8MHB8oC0QAX7vBLj7ORk6GO3om3mp+f7MzGEa0ybaTraXRofHgyPRcc/OFiO08hPFo7j0zrzNU7wh1LqduBy4NuWHrgHERuobSut7jAGozsaUN7QyjbjV4AQYuAy643efllbXW/cfcnYgCbADcV5md2f0db1uc+jhTBULWoAF43NcC9FtiZMZn+a49OS4uyWDA0ItF7ihHyl1JROtx6jT+P+PwA/1DTtpNXl7U7EBmq1zf71Nfu7vxAi+oSq3sjNTObKyXpX1j92naKiwdoEuKE4LzO/2PGqJhqMxeqjgRl4Zg+KZ7CRLy4UEmLtXDouE9DX1XSGONO+06Wxzlh/9LLxmcTHBGdZrf7o5Tp/A9jd6dZbK9mTwAFgmRXl81XEBmppif59gPzdXwgRfUJZb3zDSNXR1u7iOYsT4IbivDzzi3kmiI10ZmqOUHZ7msw0HVWNbXxyMrRpJXadqKa6SR8rtyBMZ3t21st1fh0wtdPtye52VkrdBFwDfFPTtKBGzREbqBXkDiYzJc6nMRlDU+IpyA3dorFCiPAQynpj7tgMpo7Uv/yfszgBbkHuYFITes+2ZOV5eQYyZnAT6draXZQYecsmh7Db03SFx/JMa0M8+9NzkfiiSeGxGkFvevm8l2iatqfTzeuLrJRKAZ4AHgNOK6XSlVLpQJxxf7pSKmBTYCM2UIu127izMNenMRl3FuZILjUhREjrDaUU3zCWlapoaOOfu6yb2b/zeA1Nbb0Hflae15iMJPds1gNRMvPzSEUD7UYXY7CXjvIme1AC00bqq1us2R/aQM1MEzJ9VBpZqQkhLYuvfP28+yATyAaWANUet1uBZOP/z/f/abyL6OhlcVG+u2m4u1/I8ydlcX9RfvAKJYQIa571RmdmPRKoeuNL04aTPUhf3uavG49iRQ/K4bJ6vrlyG06X5i5/5/owEOdltykmZOt5PvdFyYQCz5bBSWHQ9Qnnuz/3nanjTG1zSMpwqqbZPXsyHBZh94cvcYIPzgJXeLm9C7QY//9x/0ravYgO1GLtNpbfMZslV00gMyW+y/03zRrJ8jtmS2uaEMIt1m7jsVtnuhe+9pSZEs+SqyYErN6IizmfAPfAuXo2Hu5f2oVzdS3c9cxWapv1sUO/umm61/owUOdltjodOFtvSdAZamYwYrcp8rPCI5mrZ2C0NkStap7PGynj00y9xQm+0DStRdO09Z1v6AGc0/h7t5Xl9hRxS0h1Fmu38cCC8dxflM+20mpO1zTxo1W7aXO6qGhokyBNCNFFSXmDexbdd67IZ9rINNIS4yjIHRzwOuO2uWN4bM1hmh1Onv7wKJeN79t4n/oWB4tWbOVUjd7K8u+fn8DX5owGcNeHtc1tAT0vs9WpttnBubpWhqVFRpdYd8zkvXmZyWEzq3HayDQyU+KpaGhl7b4yFl6UE/QymGk5hqbGM6Wfy6qFgmec8Mp7idz+TKhL5J+oiWJi7TYK84dw0+zR7spqw8FyDkXRbCQhhDV2HDufR+xrBWO4eupwCvOHBOWHXXpSHF+drSfA7Wsd1dbuYvFzO9h3Rg8sbrtoDN+5Ypz7frM+DPR5eeYZ2xcF49TM1ByThodPMGKzKeYbg/c/KqmwdBKKL5rbnHxktPzOn5gVkrVPrRJrtzFjTLplx9M0bVGg1/mEKArUPN19Se755JIfBW7JFiFEZNpxXE91kJkS515TMZjuviTX/X9/6yhN0/jP1z51d5teOTmL/7l2SkiW8/EccB/piW9rmxycqW0BQpvo1huz+7PF4aK4pDKoz/1xSQWt7fpKFvMjYDWCaBSVgVre0BR3P/qqHaeotDi5pBAisu04rreozRg9OCQBTt7QFK40vvT8raN+8+4B/rHzFAAzRqfz2K2ziAnREI8hKfEMTdXH/ew/E9ktavvDZEUCby4dP5RYu36dBnuVAnN8Wpzd5k7AK4IrKgM1gHuN5JKt7S6e33w8xKURQoSLsvoWTlbr47pm5VjXDeKve41UHf7UUc8Wl7LMWFR9bGYyzyyaQ2JcaMdSmUFNpK/5eeCc5xqf4RWopcTHMC9PX1x87b6yoE3c0DTNHahdlJdBcnzED2uPSFEbqM3Ly3APelxZfIzW9uD26wshwtPO4+czvM8aE7pE2PPyMrhguO911Lt7zvLTf+4B9C7bv989l4wQLnFkMgO1kvIGSxaxD5V9RmqO1PgYRqYHvzu8N2b35+nalg5BZSDtO1Pv7g5eEGFpOaJJ1AZqSil3q1pFQ6ulySWFEJHL7Pa02xTTR6WFrBxKKb5xmW911PZjVTz44k40TV8Q+5lFcxgzJClYRe2RuUKBw6lxpLwxxKXpOzNp78RhqSHpDu+NZ5qONUFapWCtRzfr/AhLyxFNojZQA/jK9BFkpVqbXFIIEdl2HtNb1CYPTyUpLrRdOb7UUSXlDdz79220truw2xRPLJzF9FGh67LtzHM81/4InfnpcmnuyRDh1u1pyhmSTP5QPbdbsPKpmc8zLislbH4YDERRHah5Jpfcf7aej4M8W8YKDqc+y+ed3WcoLqmM6K4FEbmi5Tp0OF18ekoP1GaODv36v53rqA8OlXd4nU/XNHHXM1uoMRbDfvSGaVwxMby6oMZlpbiTB0fqOLVTNc00GktwhVNqjs4WTNZbtXYcr6aqsS1gz+Nwunh39xn37OiiCZGxtme0ivqRgbfNHcNjaw/R4nDx9IdHuCRCZq04/n975x4fZXXn//fJHZIQLuF+SSByKygCUYmiINbW3a33rV1bQAXaim13V1277rbb2l/bbe127WVfK2JVLt6t1W2rVavcVIhCuAlIiAQCAQIkAUIScpnMnN8fz/MMk2GSzEyemXlm5vt+veaVzMyZ85zznHOe5/uc8/1+jtvDsvWVrC6toq7p/IAcnJPJgpICls4tEjFfIeIkWj/cW3OWVpdhZMYykMCXr14+ht+uqaCtQ7NkVRku9/lZtbQU5d178v7PT+AOUyPSSWSlpzI2P5v9J5viVqJjb41zIz59uXbiEJ58/wBaw4aKk9w6fZSt+Xc13l/deoR+fdLjbrwnCgl/xgdkZ3D7DKMzr9tXy/6TTTEuUc+43B6+sbqMx96toL6p81NTXVMbj71bwTef3Rq3sxpCfJCI/dApgQS+5GSlMcjc2sbXSAO8RtqIvCyWzh0X9bIFi7VcGK8SHb4GplOXPgGKCweQm2XMr9jtp9bdeG9occXleE8UEt5QA1hkBhVAfAjgLltfybp9tQD4e6xY79eWn+QJM0xfECJBIvZDK5BgUHYGYwY6w+dm2fpKjp1p7TbNsYZWlm84EKUShc5k07g51tDq3Xc0nig3oyhH9u9Dv6z0GJema9JTU5hjLkNuqKi11WhKxPGeKCSFoVY0OMcbMfPatiMRXdvvLS63h9WlVfQUc6QwQvrl6UaIBInaDy1DbfqY/o6I7EuU82xFfkJ87lBgzQQ6ednT4jpTKLmxtYOtPluh9YZE6YeJSlIYagBLzFm1VpeHFz4+FOPSdE1Z1WnqmtoveKLxRwO1TW2UVdkzUAXBl0Tsh7WNbVSfMoRupztk2TNRzvOkTltJxdfyZ6vLzcE6Q1bEycueFnMmDPFukWhX9Gei9MNEJWkMtZKiQUw2o3lWOVgAt6EltNm+UNMLQjAkYj+0ZtPAOf5piXKeR/bvQ46pWr83zmbU9p9swnQFjAtDbWB2hrf/rtlrz3ZSidIPE5WkMdR8BXBrG9t4Y2dNjEsUmLw+oSmNh5peEIIhEfuhFUiQmqKYNjp2Qre+JMp5TklRTBiaA8Tf0qevpMhkB0tz+GK58lTWNnOovvciw4nSDxOVpDHUAG6cNty7gfBTDhXALS4cwIC+PTuzKgyJhOJCZ8wMCIlFceEA8nMygvJZiZd+aM2oTRoWe6Fbi0Q6z5b+2L7jjY68tnaF5Z+WnqoYm58d49IEh+8uBXYsf8p9x9kklaGWmZbKwlkFgKGbU3rAeQK4Z865vNPw3aGBhSUFomkjRIT01BQWlhQG5bMSD/3Q5fbwyRFT6HaMM/TTILHOs+Wn1tTW4d30Ph6w9s28aEiuo8+vL5OG5TIiLwuwx1A7c86FOwjjOh76YSKSdGf7a7MKyEwzqv30B86S6mhu62Dxqi2dwtu7etKeN2kI984tik7BhKRk6dwirhnfvUB0blYaC68siFKJwqe8pvG80K1D/NMsls4t8s6Q+I936308jPdJcRr5aS19xkPEp4VSinlm9OdHB+ppausIO6/mtg4WrdzC2ZbzecRzP0xEks5QG5idwW2mAO6a8pMcqHWGAG6H28O3X9jGJ0caALh9xkgeuH4C+aYQpi/3XFXI8gUz5alGiCjpqSlYyjr7AAAgAElEQVTcURxYCd962Gls7eCfX9pBh8PD9Z0YSGCRnprC8gUzeTDAeM/PyeTB6yfExXifODT+9vysb2qjtrENiC9DDeA6c5N0l1vz4Wd1YeXhcnv41gvb2HW0+/tOPPXDRMQZjhpRZvHsQl7cfBgwBHB/csvFMS2P1prvvb7bKzY4Z8Jgfn77JaSnprB0bhFlVacpP36WH/35U8AYXDJYhGiwocLok1lpKSxfOJOWdjd5fTKYNjqPe5/bxvsVtazbV8v3/283P7vtYkdokwViu2moDczOoMCBm0unp6bwnevGc6853hta2snrk0Fx4YC4Get5fdMZnpdFTUNr3Oz5GS87EgSipGgQWekptLo8rC0/wQ1Th4X0e+O+s4v13dx34rEfJiJJeeYvGpLL3ImGuvOrW49w5lxsQ41/s+YzXi6rBmDqyH48/rUZ3kGRnppCSdEg7rlqbKcyn3awaK+QGHg8mnX7DP+X2eMHM2fCEG6YOpySokH0zUjj8a/NYOpIY7nrpS3V/HbN/lgWt1uszaVnOETotius8W6d53i7OVqzUvFiqPlKifgu3cYDWempXFVkuCasLa/FE4xzsw+/fu8zXik7AnR934nXfphoJO3ZXzLb2Dev1eXh+Y8Px6wcL20+zK/f+wyA0QP78Mzdl5GdGXii07fML2yOXZmF5OCTow3ejZl9o8wscjLTeObuyxg1oA8Av3qvgle2VEe1jMFQ19TG4VPnAOcI3SYq1g4FB+uaaXU5U6vSF0uct3/fdIb2u9DNxOlYfmp1TW3sPtYQ9O9e2nyY36wJ7r4jxJ6kNdSuumiQ9+lvdWkV7R3R97FZV36S7/3fbgAG9E1n1T2XMyQ3q8v0vmVetSk2ZRaSB99oskCGGsCQ3CxWLbqc/mZo/7+9vss7C+cUtvlss+OkiM9EZPJw4/rk9mj2n3SG/293WDN/E4fmOnqmtSuunXh+XAa7Sfva8hMh3XeE2JO0hppSyrtZ+4mzbby561hUj7+z+gz3Pb8Nt0eTmZbCU3ddxrjBOd3+xrfMJxujX2YhuVhbbqieTxnRj2F5XV/Iiwbn8PRdxWSmpeD2aL71/DavFIYTsJY9UxRMGyWGWiSZ2GkrKWcvf7o9mgpTmiNehG79GdG/j7fswch07Kw+w7ee3x7SfUeIPUlrqAHcfOkIb3TLUx9ETwD3UH0zi1ZuocXlJkXB/9w5nZkFwS3JxKrMQnJxvKGV3UeNZaGuZtN8mVkwkN/eOZ0UBefa3SxauYXD9eciXcyg2O4Vuu0nyzsRZlx+DumpxsyUpU/mVA6fOueVbIm3QAJfrjPH566jDZw829pluqq68O87QmxJakMtMy2VBaYA7p5jZ/n44KmIH7O+qY27ntlMvRkM8KObp/KFKcFH68SizELy4bt8GYyhBvDFKcP40U1TAKhraueuFZupb2qLSPmCpcPt8UreyLJn5MlIS6HInKHZW+NsiY5yn/LFmzSHL5afGtCl20F9Uxt3rwj/viPElqQ21ADmzxpDhqkJ9VSEBXDPtXewaFUZVeZMw31zi7xGVyhEs8xCcmItowzKzghpuXBBSSFLTUHMg3XNLF5VRkt77JzKy4830mI6tTtNPy1RsWannL706RuZOmFo/Bpq00b1Z2C2sfdmID81u+47QuxIekNtUE4mt00fCcCa8hMcrOv9BreB6HB7+M4L29lZbfjL3DZjJA99cWJYeUWrzEJy0upyewU0r500hJSU0Jysv/vFidxq9s8d1Wf4zovbYyaI20noVpZ5ooIlc3GysY1TDpYRskR5xwzsG9dL4qkpyivd9OH+Oto6zj8Y2XnfEWJH0htqgNdBX2t4+oMDlFbW8/buGkor63GFeYNxuT0++dTxvdd3s8acpbh6fD4/v+2SXkUZ+ZZ5xUaZVUs0Ovef8PthOHx0oN47CxXssqcvSikevf0SZl9kaDy9t/cEP/zTHrTWUa+XFfE5MDuDQgcK3SYivsuIdu9QYFf/cbk97DCNlyG5mVEdX5HA2qXgXLublRurInbfEWJD/D5G2MiEobnMHp/Ph5/V8dzHh3nOR1dtcE4mC0oKWDq3KCjRP5fbw7L1lawurfJqUPkyeVguy+bP9C5d9qbM10wYzPsVtfy+7AgPXD+B/n0zepWnEHu66j+h9sPesM68sKelKK7uYa/PrshIS2HZ/Bl8ZflHfFpzluc/PkxVfTP7jjdGtV7bzZvx9NHOFrpNJCYN9zHUahq5sii8PuSLXePCymfVpiqvv1bZodNc+bO1URtfkWBW0UBSFHg0/Oyt8gu+t+u+I8QGaTWMwdvosxG6L3VNbTz2bgXffHZrj09dLreHb6wu47F3K6gPYKQBDMzJ8O6T2FuWmLNqLS43L252ntCoEBrd9Z9Q+mFv0Fp7n8CvGDeQ3Kz0sPPKzUpnxT2XMcKU9ti4v/6Ch5dI1quuqY1D9ZbQrQQSRIth/bLol2XMAdjhp2bXuOiUT3NsxlckcLk9/MsrO+luYwI77ztC9JGWA5atr2TnkcCqzlbfX1t+kifWV/aYj7VfZ1djZuP++h7zCZarx+czYagRYbVqU1XcXWCEznTXf0Lph73hs5NNHDndAnQW0wyXof2y+MKUoV1+H8l6bT98XstNAgmih1KKSaa2V7kNEh12jQvffPyJ1viKBN3Vy8LO+44QfZJ+6dPl9rC6tApF18aVxf+u38+xMy0Bnas9Hs3r24/2eDwFrC49xL02TLErpVg8eyz/+oddHD/byl921XDzpSN7lacQG4Lth3b2n0D4Ro1dN7lrAytYXG4Pb3xS02O6SNTLCiRIUTBttMyoRZNJw3LZfPAUFccb8Xh0yAEpFvF8fY4GTrluCJEl6Q21sqrTAX3JAtHq8vBiL/cy1EBtUxtlVacpKRrUq7wAbr50JL94ex/1ze089cFBbpo2Qnxx4pBg+6Hd/ccfyz9tXH42Y/Oze51fLOtlCd1OFKHbqGNJdLS43Bw+dY7CMPtSvF+fI41TrhtCZEl607qhJbTw8dysNPJzMi545WaFdiMI9bhdkZWeynxTE2fX0Qa2VJ3u4ReCEwm1P9jVf3w5c66dskOGgHI40Z6BiFW9OtwedlYb7gwzxD8t6lgSHdC7yM94vz5HGidcN4TIk/SPmXl9QouUfHJBccAnktLKeu783UcRO253zJ9VwLINlbR3eHjqgwNcPnagbXkL0SHU/mBn/7HYUFHrdUi2y1CLVb18hW6ni39a1JnYSaKjkRumDg8rn0S4PkcSJ1w3hMiT9DNqxYUDyM/JoKfFQoURCl5cGPiib1c+4TA4N5NbLh0BwLt7T1AlArhxh9V/eiIS/cfC2o0gNzON4kJ7jP1YjYvtvkK3MqMWdXIy0xg9sA9gSHSEy/Qx/ckIwqfKydfnSJKo9RI6k/SGWnpqCgtLCnt0VNXAwpKCLh0x7conXBbPHmfkr2Hlpipb8xYij9V/eiJS/afD7WG9GTl2zYTBtuktxWpcbDMjPgf0TbfF104InYlDjeXPcDdn11rz0zf30h5ENLvTr8+RIlHrJXRGWg1YOrfIu9Tj/2RivZ83aQj3mnsYRjqfcJg4LNcrTvpKWTUNXejCCc7lq5ePoafguEj1n22Hz3j7zLU2LXtadDcuLOyulzWjNn3MAAmuiRGTTeHbqvrmsPZ7Xbahkmc/OgRAdmYqEL/X50iSqPUSziOGGsZTyfIFM3nw+gnk52R2+i4/J5MHr5/A8gUze3wasSufcFlsCuCea3fz0ubDPaQWnMbvtx7x+ojl9blQaPbq8fkR6z/WsqdSePcNtIvuxgXYX6/6pjbvBtTTRZYjZlh+alpDRYizaq9tO8Iv3t4HwIi8LN75p2vi/vocKRK1XsJ5lNY9TZr2SK8zcBIut4eyqtM0tLST1yeD4sIBYXVwu/IJBa01X/jV+3x2sonheVm8/91rZXDGCS63h6sfXcfxs62MH5LDm/84m62HznDmXDs/efNTjp5pjWibfuFXG6g40cT0Mf15/b6rbM/fwhoXkazXe5+eYMnqMgCeX3IFV13U+y2MhNDZf7KRzz/2PgC/uP0S7rhsdFC/+/CzOu5esZkOj6ZfVhqvLr2SCUMNoy+er8/RIFHrZSd79uxh6tSpAFO11ntiXZ5gSPqoT3/SU1Ns0ZmxK59QUEqxaPZY/u21XdQ0tPLW7uPcNG1EVMsghMdfdtVw/GwrAEuuHktGWqq3/zS0uHjYbNNIiBpXnzpHxYkmAObZsBtBd/iOi0jVS4RunUHhoGwy0lJo7/CwN0iJjj3HGrj3ua10eDQZqSk8ubDYa6RBfF+fo0Gi1ivZEVM7wbh1+kgGZhvRg09/cAAbZkyFCKO15ukPDwIwKDvjAoPlFt82/fCg7W1qLXsCzJscWUPNl0jVyzLUJgzNJUeEbmNGWmoK44cYW9wFs+fnkdPnuGfFFpraOgB47CvTmDVOjA5BEEMtwchKT2X+FWMA2Hmkga2HRADX6WypOs0n5l6z82cVkJWe2ul7X1HjT440UGZzm1qG2rB+WXxueL8eUttHJOrV4fZ4z+WMApEiiDWW8G358cZuDfEz59q5e8UWTja2AfD9v5vMly6R1QBBADHUEpL5JQVe7aGnPjgY49IIPfH0hwcAyEhN8Rou/iyYdb5Nn7axTZvbOiitrAeM2bRoR0jaXa99Jxo5Z0YYSiBB7JlkBhScam6ntqktYJpWl5uvry5j/0lj+X3x7LEsuXpc1MooCE5HDLUEZEhuFjebArjvfHqcw2YEnOA8DtU389dPTwBwy/QRDM69MCoSDFHjSLTpxv11Xp2qSPunBcLueln6aSAzak5g0nCfHQoCCN+6PZr7X97h3fru7y4Zzvf+dnLUyicI8YAYagnK4qsNqQ6tYcUmmVVzKis2VmGtCC0y5VW6IhJtum6fseyZmZYSs+hIO+u13Vw+7d83nXEidBtzfLeS8vdT01rz4zc+5a3dxwG4YuxAHrtjGik9iQkKQpIhhlqCMmlYP2abN95XtlRztlUEcJ1GQ4uLV8qqAUNLzHcj60D4t2lvRY211qzZaxhqVxYNok9Gag+/iAx29lUrkGD66P4idOsABudkegNGyv0Mtd99cMC7i8qEoTk8ubCYzLTY9EFBcDJiqCUwlgBuc7ubFz46TGllPW/vrqG0sh5XENuyBMLl9tiSj9OIRb1e2nzY60+1uIfZNAtr9qm53c3LW3onarzn2Fmv87Zdm7CHS6d6ba4OK49Tze3nhW5lI3ZHoJTy+qltPXTKO75e23aE//xLOWAEsay85/KAIs+CIIiOWkIzZ8JgxuX35UDdOX7xTrlX9R6MJ90FJQUsnVsUlCCiy+1h2fpKVpdWUdfUHnY+TiNW9XK5PawyZxMuGpLDnAnB7QYwZ/xgigZnU1nbzMqNVSy6aixpYZbPmk0D+7eNChXfeq3YeJB7rioMuV6dN2IXQ80JuNweWlzGw0hV/TnufW5bp+9zMlJZuegyRvTvE4viCUJcEH93ViFo3Fp7b3Yev8j4uqY2Hnu3gm8+u7XH2SOX28M3Vpfx2LsV1PsYM6Hm4zRiWa+3dh/nWIMhcLt49tigl+lSUhSLZxsRccdMUeNwWWv6p00alsuoAX3DzscO7KiXteypFEwbnWdr+YTQscbXdp8AD3/GD82laHBOFEslCPGHGGoJzLL1lV7FeX8su21t+UmeWF/ZYz7r9tV2+l04+TiNWNVLa83THxiSHAOzM7h1emiK/LfNGMmAvsYy0VNhCsXWNraxs9q4gcZ62dOit/Xadsioz8ShueRmyTJarPEdX12xvfpM3F03BCHaiKGWoLjcHlaXVhHMPM3vPjjAW7trePfTExe83tpdw1OmUdEdClhdeihuZtWCPT+RqNfWQ6fZaQncXjHmAoHbnvAVit1ZfcY7kxQKVrQnOMdQ6029Otwedh4xDDXxT4s9sRxfgpBoiI9aglJWdbqTz1V3nG3tYKmf70ioaKC2qY2yqtNxsddcsOcnEvWyRIgzUlOYXxJY4LYnFswq4IkNlbjcxvZTMwsGhvT7deZuBP37pjvKsFlQUsDyDQdod3tCqlfFiabzQrdjROg21sRyfAlCoiEzaglKQ0twRlqiHDdUQi2nXfU6XH+Ov35q+F/ddOkIhuRmhZXPkH5Z3DTNWDJ9e/dxqk8FLxTb3uHh/QpjSeraiUNIdZBu1ZDcLG6cZgjghlKvbRJI4ChiNb4EIRGRGbUEJa9PRkjp//PWqVwy6sKZiE+OnOHfX98dsePGilDLaVe9Vmw66A3sCFaSoysWzx7LH7YdwaMN4dwf3Pi5oH63+eApms3Zp1hHewbCt14rN1XxH1/quV6WoZbXR4RunUCsxpcgJCIyo5agFBcOID8nIygfkcE5mXy5eDRTR+Zd8Ppy8eiQ8ikujI/ZjOLCAWQHIfBqZ73Otrp4ZYuhEXbVRYOY3MsN0D83oh9XmstFr5QFLxS7ptzYsio1RTFnfHCyINHEt14vb6mmMYh6WZGF08f0F2V7BxDq9SderhuCEAvEUEtQ0lNTWFhSeEE0oz8aWFhS0KVWmF35OI139hz3zip1h531enlztfeYS2bbs+n0ElMotqmtw2sEdofWmrWmf1pxwQDy+jozOtK3Xi/3UK9Tze0crGsGZNnTKSTqdUMQYoGMjgRm6dwib0Sf/5Ot9X7epCHcO7co7Hx885tREB9O3B8dqOeBl3cCeP2zIl2vDrfHu13OuMHZQQvc9sTcCUMYN9hY6luxsYqOHqLnDtQ1c8hU779usvOWPS1CqdeO6vP+aRJI4Bzsuv4IQrIjhloCk56awvIFM3nw+gnk52R2+i4/J5MHr5/A8gUze3ya7S6fvD7ppCjjyXjpc9uoONEYOBOHUHGikW+sLqPd7SEtRfH0XcVRqdfbe45z9EwLYPhg2bU8l5KiWHSVMft09EwL7+w50W36tXudJ8sRiFDqZemnKQWXjhZDzSnYdf0RhGRHhSOW6UevMxAij8vtoazqNA0t7eT1yaC4cEBYF8hA+fx55zEeeMWYoRqRl8Vr913FsLzwohkjyfGGVm59fCM15o4Av/rKNG6dPgqIfL1ufXwj2w+foX/fdEofvs7WDdBb2t2U/HwNZ865mDGmP6/dd1WXae988iNKD9QzZmBfNjw019Eblwdbr6/+7iM2VdYzcWgu79x/TZRLKQSDXdcfQegte/bsYerUqQBTtdZ7Yl2eYJCRkiSkp6ZQUjSIG6YOp6RoUNgXyUD53DZjFA99cSJgbP9z94rNQTu2R4uzrS7uXrHZa6R994aJXiMNIluvrYdOe53d519RYKuRBtAnI5WvXTEGgG2HuxaKbWhxsaXqFGDMpjnZSIPg6uX2aO8OC/Gy9J6M2HX9EYRkREaLYAv3zS1i/izjplp+vJGlz22lvcMZauPtHR7ufXYr5ceN5cuFJQUsnROcX8x9c4tYYKrllx9v5N5nQ6/X0x8aOzukpyoWhilw2xMLSwpJT1Xm8Q4GTPPBZ7V0mNogTl729KWneu073ugN0Jg+WgIJBEFIPMRQE2xBKcWPbprKFz43FICN++v57qs78fjvBh9lPB7NQ6/uZFNlPQBfnDKUH944JejZJKUUj9w0xVuvTZX1PBRCvapPneNtc4PxG6eNYEi/yCwJD+2XxY2XGEKxb+2qCSgUa/mn9c1I5Ypxoe1kECv863XkdOd6bfcJJJAZNUEQEhEx1ATbSE1R/PbO6cwwI+/+b8cxHn2nPKZlevTtcv644xgAMwsG8Jt/mB6yEr9/vf4YQr1WbqqyTeC2JxaZ+Xs0rDIjTC3cHs16czeCq8fnk5lm7/JrJOmuXlYgQb+sNMbl50S7aIIgCBFHDDXBVrLSU3n6rsu86vDLNxy44OYaLVZuPMjy941lx3GDs3lqYXHIG6BbhFOvxlaXVwOsZNwgpozIC+vYwTJ1ZB6zzJkyf6HYHdVnONVsbNMTL8ueFr71emlzNU1tHd7vtpt+a9PHDBChW0EQEhIx1ATbGZCdwapFl3tD8h/58x7e3l0T1TK8tauGH73xKWBIAay653IGZPdum5pQ6/XylvNGhSXgGmksId3Gtg5eKTvi/Xxt+Xl5i2snxpehBn71Mo3f083tHBChW0EQEhwx1ISIMHpgX1bcfRl9M1LRGv7ppR2UmRGHkWZL1Sn+6eUdaA3ZGamsvOcyRg/sa0vewdark8BtfnbUjKN5k4YwNt8Sij2I21x3XVtuLHteMiovYn5ykcS3Xs+Y9dphRnuCCN0KgpC4iKEmRIyLR+Xx+NdmkJqiaOvwsHhVGftPNgGGrlJpZT1v766htLIeVw+K+l3hn095TQNLVpXR3mEI2j4+fyZTR9q75Bi4Xo2dyvPo2+UcOW0I3N5jo8BtTxhCsYUAHDndwlu7anhj5zH21pwFsG1HhGgTqF5/2nnU+/2Ukb3bN1UQBMGpiOCtEHF+X1bNQ69+AhjCsTdOG8Efth2hrqndm2ZwTiYLSgpYOrcoKI0ll9vDsvWVrC6t6pRPisLrvP/LL0/j72eOCpyBDQRTLwV8e95F/ON146OmHXWuvYNZ/7mGs60dpKUoryQHQP++6Sy6amzQ59lJdFevUPuPIAjJSbiCt0qpHOAnwB3AQKAc+LnW+qWIFNT32GKoCdHgf9Z8xn+/W+F9r+jccaz38yYN6XFbGZfbwzdWl7FuX+0F+ViMy8/mnfuvifhNu6d6WQRTL7twuT1c998bOBxAoiOU8+w0ErVegiBEj14Yan8FLgMeBiqArwJLgK9prV+IRFkt5GomRIVvz7uIi32WIP2NGev92vKTPLG+stu8lq2vZN2+2oD5WByoa+4xHzvoqV4WwdTLLpatrwxozEBo59lpJGq9BEFwNkqpvwWuB+7TWi/XWq/TWn8deBf4L6VURPWOxFATokKHR1PT0NJjOgWsKq2ipb2DDrfngldLewerS6voyeNLAatLD4Xt+xYsodQrGuVxuT2OOj92kaj1EgQhLrgVaAJ+7/f5CmAEcEUkD54WycwFwaKs6nQn362u0EBdUzuTf/BOr46ngdqmNsqqTlNSNKhXeXVHKPVKxvLYRaLWSxCEmFEUYIeaWq31yQBppwJ7tdYdfp9/4vP9JpvL50UMNSEqNLT0fJONx+OGmn+ylccuErVegiDEjD8G+OxHwCMBPh8EHAjw+Smf7yOGGGpCVMjrE5rY7B0zRwXUPqs+dY5Xth4J8At7jhsqoeafbOWxi0StlyAIMeNmwN+htbab9N0FTkY0qFIMNSEqFBcOID8ng/qm9m57tMLYSeCnt10cMHLP5fawdt/JoPMpLoysYn2o9Uq28thFotZLEISYURlC1Gc9gWfNBpp/I6rmLsEEQlRIT01hYUlhj48dGlhYUtClvIJd+diFlCc6JGq9BEGIC3YBk5VS/pNbF5t/d0fy4HI1E6LG0rlF3g3B/V04rffzJg3h3rlFUcnHLqQ80SFR6yUIguN5HcgBbvf7/C7gGPBxJA8ugrdCVHG5PTyxvpLVpYeobWrzfj44J5OFJQXcG8LOBHbkYxdSnuiQqPUSBCE69FLwthj4V2A/cCfwdWC+1vr5SJTVe+zeGGpKqazdu3f3LCIlCH643B72HD1LU5uLnMx0pozsF9YN1q587ELKEx0StV6CIESW/fv3c8sttwDM0FpvD/Z35hZSP6XzFlI/c/wWUkqpKUR4bVYQBEEQBMFmbtZa/ynWhQiGXs+oAU5yCCnC0EYJFHYrJC7S7smJtHtyIu2enNjV7hnAaGCD1rrBjoJFml7Jc2itW4Gg13gjjY/KcChht0KcI+2enEi7JyfS7smJze0e9JKnExCnDkEQBEEQBIcihpogCIIgCIJDEUNNEARBEATBoSSaoVaLsalqd/t1CYmHtHtyIu2enEi7JydJ2+52CN4KgiAIgiAIESDRZtQEQRAEQRASBjHUBEEQBEEQHIoYaoIgCIIgCA5FDDVBEARBEASHIoaaIAiCIAiCQ4m4oaaUulsppbt4/TKM/NYrpcLeCF4pNVsp9ZRSaqtSqs0sR2E36QuUUs8opY6Z6Y8qpV4P9/jJgpPaXSmVqpR6QCn1tlLqiFLqnFJqr1Lq50qp/n5ps5VSLyml9imlGpVSzUqpPUqp7yulssM5fjLh1+5zA3yvlFL7ze/XR7Fc45RSrymlziilmpRS7yqlZgRIt9Cn/T1KqapolTGeSYB276eU+qlSqsK8PhxVSv1eKTUlWmWNR5zY7kqpKUqpx5VSpeb1O2DZzLRVXdyjnohGWYOlV3t9hsg9QLnfZ8eieHyL64DPY+z1dRaY21VCpdRUYD1wAPgX4AgwHPhipAuZQDih3fsAjwAvAk8BdcAM4PvAjUqpYq11i5k2HVDAY8BBwANcA/wAo698PpoFj2MagcUY48eXORibKzdGqyBKqcHAB8BpYBHQCvwbsF4pdZnWep9P8gXAMGAzxoNserTKmSDEa7v/GSjGuE6UAaMwxnypUupirfWhaJU7TnFMu2O04y0Y9/g1wI09pN+IcX/35UQEyhU+WuuIvoC7AQ0U25TfemB3L36f4vP/v5hlKwyQTmE09HYgM9LnKdFeTmp3IBUYFODzvzfLOD+IPB41046L9bl18sun3X8HnAP6+X3/LLAJ2A2st/G4fbr57hdAO1Dg81k/DOHMl/3S+l4f3gCqYn1O4+EVz+0OXGSW/cd+vy8xP78/1ufXqS+HtrvvGLau8XO7SFsFvBHr89jTyzE+auYU6X1KqR1KqRal1Gml1KtKqXFdpL9aKfWRmfaoUurHSqnUno6jtfYEWaRrgEuBX2ut20KoihAC0Wh3rbVba10f4KvN5t/RQRTVUsPuCCKtYMxeAtxpfaCUygNuB54J9AOl1A+VUh8rpU4ppc4qpbYppRYrpZRfuiql1BtKqduUUtuVUq3AD7spy63AWu0zK6K1Pgu8hq8O2vgAAAahSURBVDGjmubzebDXByEw8djuLvNvg9/vz5h/W7s5hmDgmHZPxDEcTUMtVSmV5vvy+3458GvgPYxpy/uAKcAmpdRQv7TDgJeA54GbgVcxlrF+Y2N5rzH/Niql/qKUajV9HN5QSk2y8TiJjpPbfZ75d4//F6YBmaYM35UbgAeBF7XWh8M8VrJxFqN9Fvl8difGUvLLXfymEKM/3AHchnFD/R/gPwKknQH8F/Bb4AbgD4EyVEr1wVh6+STA159gLIsHfCgQwiLu2t005P4I3K+UulYplWNe438LHMa45gjd44h2D5NrlOGP7FJKfaqUejCYSZ+oEsWp0UCvNDPNLPP9A36/HYUxnfqoz2frzbQ3+aV9EnADY0IoW3dLn0+Y3zVg+DVdB8zHmCqtBYbHejrUyS8nt7v5u5HAcWALPlPlPt//g1+Zn7HKLa+g2r0Yw6dPA1PM7zYDK8z/u10KwXiITMO4aNdhbndnfleFMbM5IYjyjDDL8HCA7+40vyvp4rey9Jkk7Y7hi/ik35jfSYB7g7yc2+4B8u1p6fN/Mfyor8F4+H/OTP9srM+t7yuawQQLgb2+H2itrWWkL5kn5zm/GZfjGINlrl9ejVrrP/l99gLwdYwT/pwN5bVmG0u11kusD5URebgd+BbGbI7QPY5rd6XUQOAvGH6IX9GBp8rfAS4DcjF8Vf4VGKSUurWL9MKFbAAqgUVKqZUY5/PBrhIrpeYB/26m6+f39RA6O/h+orWuCKEs3W1qLBse20s8tvsyjKXS+4FtGLP3DwFrlVLXagkmCAYntXtQaK2/5ffRH5VSp4FvK6Ue01pvt/uY4RBNQ22v1rqsi++GYtw0u4q0OOD3PlC64+bfQWGULRCWT9M7vh9qrXcopWowpmKFnnFUuyulBgDvYsyozdNa+x8DAK31aYzoL4B1SqlKjCWQmwGRZwkCrbVWSq0A/hHIAiq01h8ESquUuhz4K8bM6dcxIqzbMZbDv4exVOVLTZDFOI1xQw7UPwaaf08FmZcQBPHW7qZrw2Lgy1rrV33K9leM2ZxHMGZdhG5wSLvbwXPAtzFWfJLOUOuOOoxBdTUQyHHf/zN/3yUwnoDgvIHVWwL5NlgojLV3oXdEtd1NI+09YCxwnda6uzb2xwo8mBDCbwRYCfw/4F6MC3BX/AOGU/eXtNZe522l1C1dpA9qFkxr3aKU2g9cHODri4EWLnwgEHrPSuKn3S81/27xy+OMmcfUYI4pADFud5uwghkcc493StTnGxgnZ6TWuizAa5df+lyl1E1+n30V48S+b1OZ3sLwk/ob3w+VIZY4DPjIpuMkM1Frdx8jbRzwhTCmtK81/+4P8XdJjdb6KIYT8J+BVd0lxfBDcVsfmA7hC2woxuvAPKWUN7pXKZWL4cD8J5+leMEm4qzdLV3HWb4/VkoNwngwO2JDWZICh7R7b1lo/nXMPd4RM2pa641KqSeBFUqpYoybbjOGuOxsYJfWepnPT+qBZUqpMUAF8LcY06fLdA9RecoQQZxjvrWetv5GKVUL1GqtN5hlOqOU+gHwS3O9/UUMA+3HGJFAj/ey2klPtNrdvAC8A0wH/hlIU0r5XpRrtdaVZtpvYszw/RWoBrLN99/B0AP6Y68rnmRorR8OItmbwAPAC2afGIQR7GOHNM4vMW4Ab5pjug14GGN55hHfhEqpzwGfM98OA/oqpf7efP+p1vpTG8qTFMRRu7+GMQu0TCk1CsNHbTiGj1pf7FUTSHhi3e5Kqb4Y9wY4b3zPUUrlA81a67fMdF/FMNrfBA4B/YEvY8z2rdRa7+xtWWwj0tEKhCB8iuEH8BHQhDGbtR/DKp/pk2Y9RgTJHIyp6laMJ6KfEkRUHucjUwK9LohKAZYAuzA6UB3G+vWoSJ+3eH85qd0xwsC7anONMSittFdiPA0eNdu8GdiBETjSN9bn1emvYNudAFFgnN/FohXDKflhjHD/TpHZhCFSiSHV8DpGFHczxuzqjADpHummnzwS6/Pr1FcCtPswDGmIzzCWRY9izPjPivW5dfLLie3ew/W+yifdLLM/1GD4xzVjuLgsJYASQCxfyiywIAiCIAiC4DCc4qMmCIIgCIIg+CGGmiAIgiAIgkMRQ00QBEEQBMGhiKEmCIIgCILgUMRQEwRBEARBcChiqAmCIAiCIDgUMdQEQRAEQRAcihhqgiAIgiAIDkUMNUEQBEEQBIcihpogCIIgCIJDEUNNEARBEATBoYihJgiCIAiC4FDEUBMEQRAEQXAo/x+u570TYJhfbgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x1200 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "h = 2\n",
    "w = h * 3\n",
    "fig, axes = plt.subplots(nrows=len(tags_to_take), figsize=(w, h*len(tags_to_take)), dpi=120, sharex=True, squeeze=False)\n",
    "axes = axes.ravel()\n",
    "for ax, tag in zip(axes, tags_to_take):\n",
    "    try:\n",
    "        plot_tag(tall.iloc[0:-1], tag, ax=ax)\n",
    "    except:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}