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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "import scipy.stats as stats\n",
    "import os\n",
    "\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "pd.options.mode.chained_assignment = None \n",
    "plt.style.use('ggplot')\n",
    "sns.color_palette(\"Paired\");\n",
    "sns.set_theme();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# setting path to results folder\n",
    "root_path = '../../out/pretrained/adept/loci_looped/results'\n",
    "\n",
    "# list all folders in root path that don't stat with a dot\n",
    "nets = [f for f in os.listdir(root_path) if not f.startswith('.')]\n",
    "\n",
    "# read pickle file\n",
    "tf = pd.DataFrame()\n",
    "sf = pd.DataFrame()\n",
    "af = pd.DataFrame()\n",
    "\n",
    "# load statistics files from nets\n",
    "for net in nets:\n",
    "    path = os.path.join(root_path, net, 'surprise', 'statistics',)\n",
    "    with open(os.path.join(path, 'trialframe.csv'), 'rb') as f:\n",
    "        tf_temp = pd.read_csv(f, index_col=0)\n",
    "    tf_temp['net'] = net\n",
    "    tf = pd.concat([tf,tf_temp])\n",
    "\n",
    "    with open(os.path.join(path, 'slotframe.csv'), 'rb') as f:\n",
    "        sf_temp = pd.read_csv(f, index_col=0)\n",
    "    sf_temp['net'] = net\n",
    "    sf = pd.concat([sf,sf_temp])\n",
    "\n",
    "    with open(os.path.join(path, 'accframe.csv'), 'rb') as f:\n",
    "        af_temp = pd.read_csv(f, index_col=0)\n",
    "    af_temp['net'] = net\n",
    "    af = pd.concat([af,af_temp])\n",
    "\n",
    "# cast variables\n",
    "sf['visible'] = sf['visible'].astype(bool)\n",
    "sf['bound'] = sf['bound'].astype(bool)\n",
    "sf['occluder'] = sf['occluder'].astype(bool)\n",
    "sf['inimage'] = sf['inimage'].astype(bool)\n",
    "sf['vanishing'] = sf['vanishing'].astype(bool)\n",
    "sf['alpha_pos'] = 1-sf['alpha_pos']\n",
    "sf['alpha_ges'] = 1-sf['alpha_ges']\n",
    "\n",
    "# scale to percentage\n",
    "sf['TE'] = sf['TE'] * 100\n",
    "\n",
    "# add surprise as dummy code\n",
    "tf['control'] = [('control' in set) for set in tf['set']]\n",
    "sf['control'] = [('control' in set)  for set in sf['set']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate Tracking Error (TE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tracking Error when visible: M: 2.6 , STD: 2.79, Count: 5150\n",
      "Tracking Error when occluded: M: 2.67 , STD: 1.85, Count: 1545\n"
     ]
    }
   ],
   "source": [
    "grouping = (sf.inimage & sf.bound & ~sf.occluder & sf.control)\n",
    "\n",
    "def get_stats(col):\n",
    "    return f' M: {col.mean():.3} , STD: {col.std():.3}, Count: {col.count()}'\n",
    "\n",
    "# When Visible\n",
    "temp = sf[grouping & sf.visible]\n",
    "print(f'Tracking Error when visible:' + get_stats(temp['TE']))\n",
    "\n",
    "# When Occluded\n",
    "temp = sf[grouping & ~sf.visible]\n",
    "print(f'Tracking Error when occluded:' + get_stats(temp['TE']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculate Succesfull Trackings (TE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>set</th>\n",
       "      <th>evalmode</th>\n",
       "      <th>tracked_pos</th>\n",
       "      <th>tracked_neg</th>\n",
       "      <th>tracked_pos_pro</th>\n",
       "      <th>tracked_neg_pro</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>createdown_control</td>\n",
       "      <td>open</td>\n",
       "      <td>145</td>\n",
       "      <td>5</td>\n",
       "      <td>0.966667</td>\n",
       "      <td>0.033333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  set evalmode  tracked_pos  tracked_neg  tracked_pos_pro  \\\n",
       "0  createdown_control     open          145            5         0.966667   \n",
       "\n",
       "   tracked_neg_pro  \n",
       "0         0.033333  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# succesfull trackings: In the last visible moment of the target, the slot was less than 10% away from the target\n",
    "# determine last visible frame numeric\n",
    "grouping_factors = ['net','set','evalmode','scene','slot']\n",
    "ff = sf[sf.visible & sf.bound & sf.inimage].groupby(grouping_factors).max()\n",
    "ff.rename(columns = {'frame':'last_visible'}, inplace = True)\n",
    "sf = sf.merge(ff[['last_visible']], on=grouping_factors, how='left')\n",
    "\n",
    "# same for first bound frame\n",
    "ff = sf[sf.visible & sf.bound & sf.inimage].groupby(grouping_factors).min()\n",
    "ff.rename(columns = {'frame':'first_visible'}, inplace = True)\n",
    "sf = sf.merge(ff[['first_visible']], on=grouping_factors, how='left')\n",
    "\n",
    "# add dummy variable to sf\n",
    "sf['last_visible'] = (sf['last_visible'] == sf['frame'])\n",
    "\n",
    "# extract the trials where the target was last visible and threshold the TE\n",
    "ff = sf[sf['last_visible']] \n",
    "ff['tracked_pos'] = (ff['TE'] < 10)\n",
    "ff['tracked_neg'] = (ff['TE'] >= 10)\n",
    "\n",
    "# fill NaN with 0\n",
    "sf = sf.merge(ff[grouping_factors + ['tracked_pos', 'tracked_neg']], on=grouping_factors, how='left')\n",
    "sf['tracked_pos'].fillna(False, inplace=True)\n",
    "sf['tracked_neg'].fillna(False, inplace=True)\n",
    "\n",
    "# Aggreagte over all scenes\n",
    "temp = sf[(sf['frame']== 1) & ~sf.occluder & sf.control & (sf.first_visible < 20)]\n",
    "temp = temp.groupby(['set', 'evalmode']).sum()\n",
    "temp = temp[['tracked_pos', 'tracked_neg']]\n",
    "temp = temp.reset_index()\n",
    "\n",
    "temp['tracked_pos_pro'] = temp['tracked_pos'] / (temp['tracked_pos'] + temp['tracked_neg'])\n",
    "temp['tracked_neg_pro'] = temp['tracked_neg'] / (temp['tracked_pos'] + temp['tracked_neg'])\n",
    "\n",
    "temp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mostly Tracked stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp = af[af.index == 'OVERALL']\n",
    "temp['mostly_tracked'] = temp['mostly_tracked'] / temp['num_unique_objects']\n",
    "temp['partially_tracked'] = temp['partially_tracked'] / temp['num_unique_objects']\n",
    "temp['mostly_lost'] = temp['mostly_lost'] / temp['num_unique_objects']\n",
    "g = temp[['mostly_tracked', 'partially_tracked', 'mostly_lost','set']].set_index(['set']).groupby(['set']).mean().plot(kind='bar', stacked=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MOTA "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idf1</th>\n",
       "      <th>idp</th>\n",
       "      <th>idr</th>\n",
       "      <th>recall</th>\n",
       "      <th>precision</th>\n",
       "      <th>num_unique_objects</th>\n",
       "      <th>mostly_tracked</th>\n",
       "      <th>partially_tracked</th>\n",
       "      <th>mostly_lost</th>\n",
       "      <th>num_false_positives</th>\n",
       "      <th>num_misses</th>\n",
       "      <th>num_switches</th>\n",
       "      <th>num_fragmentations</th>\n",
       "      <th>mota</th>\n",
       "      <th>motp</th>\n",
       "      <th>num_transfer</th>\n",
       "      <th>num_ascend</th>\n",
       "      <th>num_migrate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>set</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>createdown_control</th>\n",
       "      <td>0.916600</td>\n",
       "      <td>0.904911</td>\n",
       "      <td>0.928800</td>\n",
       "      <td>0.936288</td>\n",
       "      <td>0.912202</td>\n",
       "      <td>86.0</td>\n",
       "      <td>80.333333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.666667</td>\n",
       "      <td>443.0</td>\n",
       "      <td>312.000000</td>\n",
       "      <td>10.666667</td>\n",
       "      <td>10.666667</td>\n",
       "      <td>0.843646</td>\n",
       "      <td>0.033253</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>createdown_surprise</th>\n",
       "      <td>0.860928</td>\n",
       "      <td>0.794099</td>\n",
       "      <td>0.942791</td>\n",
       "      <td>0.951446</td>\n",
       "      <td>0.801555</td>\n",
       "      <td>33.0</td>\n",
       "      <td>30.666667</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>381.0</td>\n",
       "      <td>76.666667</td>\n",
       "      <td>4.333333</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.707410</td>\n",
       "      <td>0.032646</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         idf1       idp       idr    recall  precision  \\\n",
       "set                                                                      \n",
       "createdown_control   0.916600  0.904911  0.928800  0.936288   0.912202   \n",
       "createdown_surprise  0.860928  0.794099  0.942791  0.951446   0.801555   \n",
       "\n",
       "                     num_unique_objects  mostly_tracked  partially_tracked  \\\n",
       "set                                                                          \n",
       "createdown_control                 86.0       80.333333           1.000000   \n",
       "createdown_surprise                33.0       30.666667           2.333333   \n",
       "\n",
       "                     mostly_lost  num_false_positives  num_misses  \\\n",
       "set                                                                 \n",
       "createdown_control      4.666667                443.0  312.000000   \n",
       "createdown_surprise     0.000000                381.0   76.666667   \n",
       "\n",
       "                     num_switches  num_fragmentations      mota      motp  \\\n",
       "set                                                                         \n",
       "createdown_control      10.666667           10.666667  0.843646  0.033253   \n",
       "createdown_surprise      4.333333            9.000000  0.707410  0.032646   \n",
       "\n",
       "                     num_transfer  num_ascend  num_migrate  \n",
       "set                                                         \n",
       "createdown_control       1.333333    8.000000          0.0  \n",
       "createdown_surprise      1.000000    2.666667          0.0  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "af[af.index == 'OVERALL'].groupby(['set']).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gate Openings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percept gate openings when visible: M: 0.177 , STD: 0.235, Count: 5150\n",
      "Percept gate openings when occluded: M: 0.0165 , STD: 0.0788, Count: 1545\n"
     ]
    }
   ],
   "source": [
    "grouping = (sf.inimage & sf.bound & ~sf.occluder & sf.control)\n",
    "temp = sf[grouping & sf.visible]\n",
    "print(f'Percept gate openings when visible:' + get_stats(temp['alpha_pos'] + temp['alpha_ges']))\n",
    "temp = sf[grouping & ~sf.visible]\n",
    "print(f'Percept gate openings when occluded:' + get_stats(temp['alpha_pos'] + temp['alpha_ges']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlations between visiblity mask of reappearing objects and visibility mask of vanishing objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PearsonRResult(statistic=0.9090151765786597, pvalue=2.695881922780818e-06)\n",
      "PearsonRResult(statistic=0.9416135178219641, pvalue=1.6338190527083593e-07)\n"
     ]
    }
   ],
   "source": [
    "control_slot = sf[(sf['vanishing'] == False) &\n",
    "                (sf['occluder'] == False) &\n",
    "                sf['set'].isin(['createdown_control']) &\n",
    "                #(sf['net'] == net) &\n",
    "                (sf['tracked_pos']) &\n",
    "                (sf['first_visible'] < 20)]\n",
    "control_slot['visible'] = (control_slot['visible'] & control_slot['bound'])\n",
    "\n",
    "vanish_slot = sf[(sf['vanishing'] == True) &\n",
    "                (sf['occluder'] == False) &\n",
    "                sf['set'].isin(['createdown_surprise']) &\n",
    "                #(sf['net'] == net) & \n",
    "                (sf['tracked_pos']) & \n",
    "                (sf['first_visible'] < 20)]\n",
    "vanish_slot['visible'] = (vanish_slot['visible'] & vanish_slot['bound'])\n",
    "\n",
    "# correlation between slot error and control slot visibility\n",
    "temp = vanish_slot.groupby(['frame']).mean().reset_index()\n",
    "temp['visible'] = control_slot.groupby(['frame']).mean()['visible'].reset_index()['visible']\n",
    "\n",
    "# correlation between slot error and control slot visibility\n",
    "print(stats.pearsonr(temp['visible'][25:40], temp['slot_error'][25:40]))\n",
    "print(stats.pearsonr(temp['visible'][25:40], temp['mask_size'][25:40]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plots VOE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_plot_complete():\n",
    "\n",
    "    # line plot of mean slot error as a function of frames per jumping mode\n",
    "    control_slot = sf[(sf['vanishing'] == False) &\n",
    "                    (sf['occluder'] == False) &\n",
    "                    sf['set'].isin(['createdown_control', 'createup_control']) &\n",
    "                    #(sf['net'] == net) &\n",
    "                    (sf['tracked_pos'])]\n",
    "    control_slot['notvisible'] = ((control_slot['visible'] == False) | (control_slot['bound'] == False))\n",
    "    control_label = 'Reappearing'\n",
    "\n",
    "    # line plot of mean slot error as a function of frames per jumping mode\n",
    "    vanish_slot = sf[(sf['vanishing'] == True) &\n",
    "                    (sf['occluder'] == False) &\n",
    "                    sf['set'].isin(['createdown_surprise', 'createup_control']) &\n",
    "                    #(sf['net'] == net) & \n",
    "                    (sf['tracked_pos'])]\n",
    "    vanish_label = 'Vanishing'\n",
    "\n",
    "    a = control_slot.groupby(['frame']).mean()['notvisible'].to_list()\n",
    "\n",
    "    # combined plot of slot error and tracking error\n",
    "    fig, axs = plt.subplots(ncols=2, nrows=4, figsize=(10, 10), gridspec_kw={'height_ratios': [3, 3, 3, 1]})\n",
    "    alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']\n",
    "\n",
    "    for i, (error,ylabel) in enumerate(zip(['slot_error', 'TE', 'rawmask_size', 'mask_size', 'alpha_pos', 'alpha_ges'],['Slot Error', 'Tracking Error', 'Object Mask Size', 'Visibility Mask Size', 'Position Updates', 'Gestalt Updates'])):\n",
    "\n",
    "        # set row and column\n",
    "        row = int(i/2)\n",
    "        col = i % 2\n",
    "\n",
    "        # line plot of slot error as a function of frames\n",
    "        vslot = vanish_slot\n",
    "        if error == 'TE':\n",
    "            vslot = vanish_slot[(vanish_slot['TE'] > 0) | (vanish_slot['frame'] < 10)]\n",
    "        sns.lineplot(x=\"frame\", y=error, data=control_slot, ax=axs[row][col], label=control_label)\n",
    "        sns.lineplot(x=\"frame\", y=error, data=vslot, ax=axs[row][col], label=vanish_label)\n",
    "        axs[row][col].set_xlabel('')\n",
    "        axs[row][col].set_ylabel(ylabel)\n",
    "        axs[row][col].legend()\n",
    "\n",
    "        # add vertical line at 30 frames\n",
    "        axs[row][col].axvline(x=28, color='green', linestyle='--', linewidth=0.5, alpha=0.5)\n",
    "\n",
    "        if error == 'TE':\n",
    "            axs[row][col].set_yticks([0, 1, 2, 3])\n",
    "            axs[row][col].set_yticklabels(['0%', '1%', '2%', '3%'])\n",
    "\n",
    "        # add a,b,c ... labels to the top left conrner of each plot\n",
    "        axs[row][col].text(-0.2, 1, alphabet[i], transform=axs[row][col].transAxes, size=15, weight='bold')\n",
    "\n",
    "    for col in [0,1]:\n",
    "\n",
    "        # add occulusion plot\n",
    "        axs[3][col].fill_between(range(len(a)),a,  color=\"green\", alpha=0.2)\n",
    "        axs[3][col].set_xlabel('Frame')\n",
    "        axs[3][col].set_ylabel('Occlusion')\n",
    "\n",
    "        # set y axis ticks as 0% to 100%\n",
    "        axs[3][col].set_yticks([0, 1])\n",
    "        #axs[3][col].set_yticks([])\n",
    "        axs[3][col].set_yticklabels(['0%', '100%'])\n",
    "\n",
    "        # add same text as above but center the text\n",
    "        axs[3][col].text(28, 0.5, 'Object\\nvanishes', fontsize=9, color='grey', rotation=90, ha='center', va='center')\n",
    "        axs[3][col].text(60, 0.5, 'Occluder\\nrotates', fontsize=9, color='grey', rotation=90, ha='center', va='center')\n",
    "\n",
    "        # Update Gates\n",
    "        axs[2][col].set_yticks([0, 0.2,0.4])\n",
    "        axs[2][col].set_yticklabels(['0%', '20%', '40%'])\n",
    "        axs[2][col].set_ylim(0, 0.4)\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    pass\n",
    "\n",
    "\n",
    "\n",
    "def get_plot_voe():\n",
    "\n",
    "    # line plot of mean slot error as a function of frames per jumping mode\n",
    "    control_slot = sf[(sf['vanishing'] == False) &\n",
    "                    (sf['occluder'] == False) &\n",
    "                    sf['set'].isin(['createdown_control']) &\n",
    "                    #(sf['net'] == net) &\n",
    "                    (sf['tracked_pos']) &\n",
    "                    (sf['first_visible'] < 20)]\n",
    "    control_slot['visible'] = (control_slot['visible'] & control_slot['bound'])\n",
    "    control_slot['slot_error'] = control_slot['slot_error'] * 10000000\n",
    "    control_label = 'Reappearing'\n",
    "\n",
    "    # line plot of mean slot error as a function of frames per jumping mode\n",
    "    vanish_slot = sf[(sf['vanishing'] == True) &\n",
    "                    (sf['occluder'] == False) &\n",
    "                    sf['set'].isin(['createdown_surprise']) &\n",
    "                    #(sf['net'] == net) & \n",
    "                    (sf['tracked_pos']) & \n",
    "                    (sf['first_visible'] < 20)]\n",
    "    vanish_slot['visible'] = (vanish_slot['visible'] & vanish_slot['bound'])\n",
    "    vanish_slot['slot_error'] = vanish_slot['slot_error'] * 10000000\n",
    "    vanish_label = 'Vanishing'\n",
    "\n",
    "    a = control_slot.groupby(['frame']).mean()['visible']\n",
    "    b = vanish_slot.groupby(['frame']).mean()['visible']\n",
    "    #b[28:] = 0\n",
    "\n",
    "    # combined plot of slot error and tracking error\n",
    "    fig, axs = plt.subplots(ncols=2, nrows=2, figsize=(10, 4), gridspec_kw={'height_ratios': [3, 1]})\n",
    "    alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']\n",
    "\n",
    "    for i, (error,ylabel) in enumerate(zip(['slot_error', 'mask_size'],['Slot Error', 'Visibility Mask Size'])):\n",
    "\n",
    "        # set row and column\n",
    "        row = int(i/2) \n",
    "        col = i % 2\n",
    "\n",
    "        # line plot of slot error as a function of frames\n",
    "        vslot = vanish_slot\n",
    "        if error == 'TE':\n",
    "            vslot = vanish_slot[(vanish_slot['TE'] > 0) | (vanish_slot['frame'] < 10)]\n",
    "        sns.lineplot(x=\"frame\", y=error, data=control_slot, ax=axs[row][col], label=control_label)\n",
    "        sns.lineplot(x=\"frame\", y=error, data=vslot, ax=axs[row][col], label=vanish_label)\n",
    "        axs[row][col].set_xlabel('')\n",
    "        axs[row][col].set_ylabel(ylabel, fontsize=12)\n",
    "        axs[row][col].legend()\n",
    "\n",
    "        if error == 'TE':\n",
    "            axs[row][col].set_yticks([0, 1, 2, 3])\n",
    "            axs[row][col].set_yticklabels(['0%', '1%', '2%', '3%'])\n",
    "\n",
    "        # add a,b,c ... labels to the top left conrner of each plot\n",
    "        axs[row][col].text(-0.2, 1, alphabet[i], transform=axs[row][col].transAxes, size=15, weight='bold')\n",
    "\n",
    "        # remove x axis ticks from top plot but keep grid lines in x axis\n",
    "        if row == 0:\n",
    "            axs[row][col].set_xticklabels([])\n",
    "            axs[row][col].set_xlabel('')\n",
    "\n",
    "    for col in [0,1]:\n",
    "\n",
    "        # add occulusion plot\n",
    "        axs[1][col].plot(range(len(a)),a.to_list(), label=control_label)\n",
    "        axs[1][col].plot(range(len(a)),b.to_list(), label=vanish_label)\n",
    "        axs[1][col].set_xlabel('Frame', fontsize=12)\n",
    "        axs[1][col].set_ylabel('Visiblity', fontsize=12)\n",
    "\n",
    "        # set y axis ticks as 0% to 100%\n",
    "        axs[1][col].set_yticks([0, 1])\n",
    "        #axs[3][col].set_yticks([])\n",
    "        axs[1][col].set_yticklabels(['0%', '100%'])\n",
    "\n",
    "        # add same text as above but center the text\n",
    "        axs[1][col].text(28, 0.5, 'Object\\nvanishes', fontsize=9, color='grey', rotation=90, ha='center', va='center')\n",
    "        axs[1][col].text(60, 0.5, 'Occluder\\nrotates', fontsize=9, color='grey', rotation=90, ha='center', va='center')\n",
    "\n",
    "        # Update Gates\n",
    "        #axs[2][col].set_yticks([0, 0.2,0.4])\n",
    "        #axs[2][col].set_yticklabels(['0%', '20%', '40%'])\n",
    "        #axs[2][col].set_ylim(0, 0.4)\n",
    "\n",
    "\n",
    "    # add arrow to plot axs[0][0] at position (x,y) = (10, 0.5)\n",
    "    axs[0][0].annotate('', xy=(33, 0.45), xytext=(25, 0.6), arrowprops={'arrowstyle': '->', 'color': 'black'})\n",
    "    axs[0][0].text(21, 0.62, 'Expectation', fontsize=9, color='black', ha='center', va='center')\n",
    "\n",
    "    axs[0][0].annotate('', xy=(63, 0.31), xytext=(56, 0.45), arrowprops={'arrowstyle': '->', 'color': 'black'})\n",
    "    axs[0][0].text(52, 0.47, 'Expectation', fontsize=9, color='black', ha='center', va='center')\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    pass\n",
    "\n",
    "def get_plot_gates():\n",
    "\n",
    "    # line plot of mean slot error as a function of frames per jumping mode\n",
    "    control_slot = sf[(sf['vanishing'] == False) &\n",
    "                    (sf['occluder'] == False) &\n",
    "                    sf['set'].isin(['createdown_control']) &\n",
    "                    #(sf['net'] == net) &\n",
    "                    (sf['tracked_pos']) &\n",
    "                    (sf['first_visible'] < 20)]\n",
    "    control_slot['visible'] = (control_slot['visible'] & control_slot['bound'])\n",
    "    control_slot['slot_error'] = control_slot['slot_error'] * 10000000\n",
    "    control_label = 'Reappearing'\n",
    "\n",
    "    # line plot of mean slot error as a function of frames per jumping mode\n",
    "    vanish_slot = sf[(sf['vanishing'] == True) &\n",
    "                    (sf['occluder'] == False) &\n",
    "                    sf['set'].isin(['createdown_surprise']) &\n",
    "                    #(sf['net'] == net) & \n",
    "                    (sf['tracked_pos']) & \n",
    "                    (sf['first_visible'] < 20)]\n",
    "    vanish_slot['visible'] = (vanish_slot['visible'] & vanish_slot['bound'])\n",
    "    vanish_slot['slot_error'] = vanish_slot['slot_error'] * 10000000\n",
    "    vanish_label = 'Vanishing'\n",
    "\n",
    "    a = control_slot.groupby(['frame']).mean()['visible']\n",
    "    b = vanish_slot.groupby(['frame']).mean()['visible']\n",
    "    #b[28:] = 0\n",
    "\n",
    "    # combined plot of slot error and tracking error\n",
    "    fig, axs = plt.subplots(ncols=2, nrows=2, figsize=(10, 4), gridspec_kw={'height_ratios': [3, 1]})\n",
    "    alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']\n",
    "\n",
    "    for i, (error,ylabel) in enumerate(zip(['alpha_pos', 'alpha_ges'],['Position Updates', 'Gestalt Updates'])):\n",
    "\n",
    "        # set row and column\n",
    "        row = int(i/2) \n",
    "        col = i % 2\n",
    "\n",
    "        # line plot of slot error as a function of frames\n",
    "        vslot = vanish_slot\n",
    "        if error == 'TE':\n",
    "            vslot = vanish_slot[(vanish_slot['TE'] > 0) | (vanish_slot['frame'] < 10)]\n",
    "        sns.lineplot(x=\"frame\", y=error, data=control_slot, ax=axs[row][col], label=control_label)\n",
    "        sns.lineplot(x=\"frame\", y=error, data=vslot, ax=axs[row][col], label=vanish_label)\n",
    "        axs[row][col].set_xlabel('')\n",
    "        axs[row][col].set_ylabel(ylabel, fontsize=12)\n",
    "        axs[row][col].legend()\n",
    "\n",
    "        # set y lim from 0 to 0.6\n",
    "        axs[row][col].set_ylim(0, 0.6)\n",
    "\n",
    "        axs[row][col].set_yticks([0, 0.3, 0.6])\n",
    "        axs[row][col].set_yticklabels(['0%', '30%', '60%'])\n",
    "\n",
    "        # add a,b,c ... labels to the top left conrner of each plot\n",
    "        axs[row][col].text(-0.2, 1, alphabet[i], transform=axs[row][col].transAxes, size=15, weight='bold')\n",
    "\n",
    "        # remove x axis ticks from top plot but keep grid lines in x axis\n",
    "        if row == 0:\n",
    "            axs[row][col].set_xticklabels([])\n",
    "            axs[row][col].set_xlabel('')\n",
    "\n",
    "    for col in [0,1]:\n",
    "\n",
    "        # add occulusion plot\n",
    "        axs[1][col].plot(range(len(a)),a.to_list(), label=control_label)\n",
    "        axs[1][col].plot(range(len(a)),b.to_list(), label=vanish_label)\n",
    "        axs[1][col].set_xlabel('Frame', fontsize=12)\n",
    "        axs[1][col].set_ylabel('Visiblity', fontsize=12)\n",
    "\n",
    "        # set y axis ticks as 0% to 100%\n",
    "        axs[1][col].set_yticks([0, 1])\n",
    "        #axs[3][col].set_yticks([])\n",
    "        axs[1][col].set_yticklabels(['0%', '100%'])\n",
    "\n",
    "        # add same text as above but center the text\n",
    "        axs[1][col].text(28, 0.5, 'Object\\nvanishes', fontsize=9, color='grey', rotation=90, ha='center', va='center')\n",
    "        axs[1][col].text(60, 0.5, 'Occluder\\nrotates', fontsize=9, color='grey', rotation=90, ha='center', va='center')\n",
    "\n",
    "        # Update Gates\n",
    "        #axs[2][col].set_yticks([0, 0.2,0.4])\n",
    "        #axs[2][col].set_yticklabels(['0%', '20%', '40%'])\n",
    "        #axs[2][col].set_ylim(0, 0.4)\n",
    "\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_plot_complete()\n",
    "plt.savefig('plots/loci_looped_complete.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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F74XjOKxcuTIfQjOQmA1xbBlDD4aRpoYWUAR6cX0D/VzU1mrb/QX+RdBzlcja2mQYfi666GIuv/z/cckll/KXvzzA8cefgN/v57LL/o+jj15APB5nn3324YQTvk5LSzPXX/86hxxyGIahkclk+M9//sVBBx3MokVPccABs/LHfvnl5/n61xfyyisvMXbsOEaOHMGoUaN4/vlnmDv3aN5887/ccMN1PPLIkyxe/BZ/+9ujlJeX8/DDDwEgRLt3sO2YQoj8NQghOizXNMH+++/Pj350Ceeeex5+f4DXXnuJGTP26/I70DRtwJ8Pjy+GIyUtCZNIDxLzeothaGRMh5akSVlhaLsf38OjDcMwOP/87/HjH1/KD37w//jb3x7gmGOOx+/386Mf/YB58xYQj7ew1177cOyxJ9DS0swbb7zOwQcfCrgFw15//TUOPHA2Tz/9JPvv/6X8sV988VlOOGEhr776MmPGjKOqahgjR47i2WefZs6ceSxe/F9uvPHnPPTQ4yxe/BYPPuiGTrQVIOsquX9rzJixL5df/kPOOutc/P4Ar776Ul4M4Avdpy98hH6gqqqKt99+O/+5rq6OioqK/Ofy8nLGjBnDtGnTAJg/fz4XXXRRr87R0JBASrX1DfPnjFFX19qrc+ysbI97UV9fz+zZB3DffX/bLg/2F8GprUM5DiKdQkkH1ZTAp5dvfUcGx3MhpRw0ZUgNQ8PJVSDbtE377nsAu+8+jXfffZfZsw/hzDNPQ0qH/ff/EnPmHE19fR2XXXYJJ53kFqOZPHlX1q9fnz/GCy88zx13/I7S0nKuuOIn+eXvv/8eTz75OKFQkMsuc5dfeeW13HTTz7j//nswDB9XX/0zHEdx5pnf4pxzziQQ8DNhwi4MGzactWvX5fuBtmMqpfLXoJTqsFxKxZgx4/nqV7/BWWedQSgUoqioCJ/P3+k7MAwNKWWH50PTxDYN0D0GjnTW6eSo2Z4E/Tr1LRlKC4JewrBHnzJz5peYOnUa77//HgcffCjnnHNGvh+eO3d+vh8+7bRvAG4/vHHjhvz+L7/8AnfddVu+H25jyZL3+cc/niQUCnL55e7yq65y++EHH7wXw/BxzTU/QwjBmWd+i/POO7tDP7zpOXrK+PETOeGEhZx77pn5fnhLnujeINSmEgODlJqaGk488UQefvhhQqEQCxcu5Kc//SnTp08H3BHN4Ycfzh/+8AemTJnCnXfeyaeffspNN93U43N4RvK2s73uxbPPPsMll3yPZ555MR/31N8opbDXf4Twh/MVk1Q6jj5iN4S+9THlYHguqqtXU1U1ZkDb0IZhaNvdYD/wwBm8/vrbnZafcMICbr319wwbNny7nm9rrFmzmv/853W+8Q1XcefSS7/P/PnHcuCBsztsZxga69at7PDdeEZyO73tg2Fgfm8b6hM0J8ztlrTXFfGUxS4jCgkFen6OwdD3DBYG+l7s7H0w7Jj9cFd9MHTfD+8QnuTKykouvvhiTjvtNCzL4oQTTmD69Ol861vf4qKLLmLatGn87ne/44orriCdTlNVVcWNN9440M326CVz5sxl+fJPOO20E3nyyUVEIgOQ5e1YCNmxpKgSAuws9MBI9hh6VFUNY+nSjzn11K8jhGC//Q5g1qyDBrpZHn2AVIqm1myvjNdtQRfQkuj783h47Cz0VT+8Q3iS+wPPk7ztbM97oZTiwgu/TSqV4g9/uAdN69/YWpVNYtd+jhZsr7InM61oJSPRI8Vb3X8wPBdDwYuxI+J5krtnR/AkJzMWn6+PUxDxAdAQz1DTmGLCiEIC3RQC2VCfpLYpzZiqGMWxrU8BS6nIZG2mjC3psW7yYOh7BgsDfS+8PnhwstN6kj2GDkIIfvGL33D88fO58cafcemlV/Tr+aVtdm6TZkA2CT0wkj08PHZeWpMmmyTu89S/V7GmJoGhC3YZWcRuY4upKg1TFPWjaxrr65O89r8NfLquJb9PSSzAhBEF7L9bJSUFwS7Po2kCWypSGZtoyNfXl+Xh4bEFPCPZY9ARCLhSMUcddQiTJ0/huONO6L+TZ1OuUbwpug+VTXW9vYeHx5BAKUVja5ag37WSG+MZ1tQk2HtSGbqm8fGqRpaubgJAE4JY2EdL0iQU0Dlk7xHsMrKQNTWtfL4+znufNvDu8nq+NK2KA6dVdSn35jM0mloznpHs4TGAeEayx6CkvLyce+/9KyecsIAxY8ay994z+uW8ykyB3vGlJHQDmY6jpET0c/iHh4fH4CBjOtiOJJwbRL//eQNCwOw9hlMQ8TNnv1FsaEjS0JKhIZ6hMZ5lxpRyZkypyIdiVJWE2W/XSlpTJs+/vY5/vb+RDz5r4JgDxzJuWEGH8wX9Os0Jk2GlEkP3+h0Pj4HA++V5DFp2330qv/zlb/nmN0/ZJkmY3qKUQlkZ2NyTjFtUBDvb523w8PAYnLSmzLyGtlKKDz5rYPywAgoibmEDTROMLI+yx8QyDt17JCd8eQKzpg3rMlY5FvZz/OzxnHbUZAxd8NBLn9MYz3TYpk3+LZG2+vjKPDw8toRnJHsMaubOPZqzzjqH0047kVSqj0MeHAtB1/qnCuVW4vPw8BhybB5qsaq6lZakyR4Ty77QccdWxTj5iEkIAY+8uqJTgpXPEMSTXr+zPbAdSX1zmg31CSy798UqPIYmnpHsMei58MKLmTRpMhdddB5S9mGWrm2iVNeZ5EI3UJlE3517J+Wcc87sUGYUIJ1OM2/eYTQ3N/f4OI8//jCPP/7wFtdfd91PePrpp3q9385IPB4f6CbsdGQtB9N28mEP73/WQMCnM3l00Rc+dlEswFcOHMfGhhTPv722wzqfoZHIeJ7kL4KUisZ4huVrm9nYkKSp1WT52hYa4xnkEBH3Ou+8s7x+eBvxjGSPQU+b4sX69eu4+eaelxrvLdI22aLaku5HZT0jubcsWHAMzz23qMOyV199ib33nkFRUVGPj3PssSdw7LG9T+Dc1v12RFasWMG8efM4+uijqampYe7cuXz++ecD3aydgkTaQsPtHLKWw9LVTew+rhjfdir/Pnl0ETN3r2Txsjo+WtmYX65rGo4tsTwJrx7jSNdjvL4uwfK1zXy0qpF1dUkCPo1YxE8kZBAMaKyrTbByQxynLx0vg4Sjj/b64W3FS9zz2CEIBoPcc89f8ooXX/nK8dv/JGaqy3hkyCXvZdIoaXdWvxjEWMv/jfXJa31ybN/k2fgmzep2m8MOO5Lf/OZXxOMtFBQUAvDss08zbdoenHfeWWSzGVpbE1x00cUcdNCXue66nxCJRPnkk6XU19dxxhlnc/TRx/DHP/4egNNPP4uf//xqVqxwjb/jjvsaxxxzHABvvPE6jz32dxobGznttDP5yleOz+931lnn8pWvzOHLXz6MDz74H7pucM01P2f48BG8++7b/OpXN6HrOrvvPp1Vq1bw29/e2Sf3rC+59tprufzyy7npppuorKzklFNO4corr+SBBx7o0f6JRIKFCxdyxx13MHLkSH70ox/xzjvvEAqFALjgggs44ogjWLp0KZdffjnJZJIZM2Zw9dVXYxgGGzZs4JJLLqGhoYFx48Zx8803D0xBoD4gnbExDNdIXrqqCcuWXzjUYnMO22cEa2sT/OON1YwfXtBeSEQITNvZbgb5zopSitaUyfq6JOFokFTKxKdrRENGpxA6XdMoiPqJJ00a4hkqisJ92raB7ocPPfQIfve7X3v98Dbg/eo8dhgqKiq4556/cOmlP+B//3u3x/spaaMce+vbmemtVNVTYHnJe70hHA5z0EEH89JLLwBQX1/HmjWr+fTT5Vx66Y/5058e4NJLr+Cuu27P71NbW8Ntt/2B66//Jb/73a87HG/JkveJx+PcffeD3HTTr3n//ffy60zT5M477+Gmm37FXXfd1qktDQ0N7LPPftx994PsscdePPLIQ9i2zbXXXsWVV17L3Xc/iGHsOAOgzWlubmbWrPaX5cknn0wi0bPZj/fff58TTzyRVatW5Zd9+OGH3H///TzxxBM88cQTHHHEEQBccsklXHnllTz77LMopXjooYcAuPrqqznppJNYtGgRU6dO5bbbOn8HOypp08HIKdv877N6SgsCjCzfvgMAXdM4+oAxZC2Hd5fX5ZcLXGUNjy1j2Q6rqltZsbEVw9AoigYIBQwMQ+syx6SNaMhHTWOarLVz31+vH952Bk9LPDx6wLRp07n55t9wxhkn88wzL/aoPrzKJFDZNHrxsC1vk1O2EIEtVz8TCKSZRg/sON4x36RZW/Uy9DXz5i3gD3+4g2OP/SrPPfcMc+bM4/TTz+KNN/7Fyy+/wEcfLSGdTue332+//RFCMH78BOLxlg7HGj9+AmvWrOb737+AmTNncf75382vO+iggxFCMG7chC3G2e2//wH547z//nt8/vlnFBUVM3HiLoA7LfnrX9+8ne9A/5HNZvNGQV1dXY9j+B966CGuuuoqfvjDHwJuvOKGDRu47LLLqKmp4YgjjuCCCy5g48aNZDIZ9txzTwCOP/54fvOb3/C1r32NxYsX87vf/S6//JRTTuGSSy7Z/hfZzyilMC2HSMiguTXLmpoEh+w9olvja1upKgkztirG4qW1zNy9El3TMAxBMm1RuoXCI0MdqRRrahKkTZuiqL9X+2qaQNeguiHFmKpYH7XQ64c3Z0fqhz0j2WOH4+ijF/Dpp59w+ukn8vjjzxAOdz9VpqREpprQiqq2/GLrRtkij+6HTCvEtu80687OnnvuTUNDPTU11Tz77DP87Gc3cf7532Lvvfdhr732YZ999uXqq9srK/r9btnerr6LwsIi7rvvIRYvfpP//OffnHnmKdx3n+vJ1HOl0Lr7DgOB9mMrpdA0DaV2jpjEk046ibPOOouGhgZ+8Ytf8M9//pOzzz67R/ted911HT7X19czc+ZMrrrqKmKxGOeeey4PP/wwu+yyC+Xl5fntysvLqampoampiWg0mvcAtS3vDdtanru8vO+MG3C9lAWNaQojAd79bA0As/YYQXFhqE/Od9h+o/njkx+xtj7NXpMqcHIlqntynX19LwYj1Y0pjICPUZs9P8VFPXNmFANNrRkC4UBezu+LUlurYQyi8BjD0JgxYwY33thAQ0Mtzz33DNdffzMXXPAt9t57BvvsM4P99tufK6+8LO99DwaDHa7BMLS8BGJpaQl/+cvDvPXWf3njjX9z1lmn8OCDDyOEwOcztrhf2/JIxP3t6LlEWL/fAFR+fVsb+uIeaprWq9+JZyR77JB897s/4JNPlvG9732H3//+7u6NW2m78cZWBvxbeLHllC269Q0ZPmQ2iaa2Ykx7dOKoo47m3nv/REFBAbFYjLVrV/O7392F3+/n9ttv7bHH8/XXX+XZZ5/hmmt+zv77H8A777xFbW3vjLFNGTt2HK2trXz++WdMmDCR559ftMN+tyeccAKjR4/m1VdfxbZtfvrTn3YIv+gNo0aNynuFAU499VQef/xxJkyY0OH+qNxvQXXxm+jtfWxoSCBl79QGystj1NW19mqf3pLO2rQ0p5CWzeKPqxlZEUFTkqbmZJ+cb3hxkOJYgBcXr2FshWvotSZNNmz0dxuX3B/3YrCRztp8uq6ZaMhHU3N7SF1xUaRX349lO7y/rJpJI4vyBt0XQUrZSc5voDAMLd+WOXPm8ac//YFYrIBwOMqaNav57W879sO2LVFKIaXqcA22LfO/z1deeTnfD8+YMZPFi99kw4aNW92vbXnb/1IqlFKMHDmGeDzOJ58sZ8KEiTzzzNMdttue90JK2el3omlii4N0z0j22CERQnDLLb/luOPm8Ytf3MD//d+lW95YSpAOMptE34KRLG0TRPcvaCE0UAocE4zAF2n+kGPevAWccMICfvSjKykoKGT+/K9w6qlfxzAM9t57XzKZTIepvi0xc+YsXnnlJU499ev4/X7mzJnHhAkTt7ldPp+PH//4p1x77ZUIoTF69Ji8t3lH45FHHuH4449nv/32yy+79dZbufDCC3t9rE8++YRVq1YxZ84cwDWGDcOgqqqKurr2eNn6+noqKiooKSmhtbUVx3HQdZ26ujoqKiq++EUNAixHghDUNKWobUozd//R23ScrgYSXSGEYP/dKlj05lrW1SYYWRH1kve6wJGSNTUJAn79Cxu2PkMnnbRoTVsUbidv8mDE64d7j1BqiAgFboXeejGG4qh9SwzkvaipqeGoow7h6quvy2fXbo7TuA6ZaET4QxhVu2xxG5VuRWzJ05xDplvRy8eghQq6XD8Ynovq6tVUVY0Z0Da0sakXYzAipeSOO27lm988h1AoxF//ej91dXVceOHF2/1chqGxbt3KDt9Ndx6M3jJlyhQOOeQQbrnlFoJBN371uOOO47HHHuvxMQ499FDuvfdeEokE5557Lk8++SThcJhvf/vbHHfcccyfP5/58+dz9dVXs88++/DjH/+YMWPGcPbZZ3POOeewYMECFixYwO23305tbS1XXXVVj889WD3J9S1pqhtSvLm0hjc+rOb7X9+DSMgtXa+UoiVhYugakS5UFMD1liUzdv7vUEDH30UVvk0xLYdbHvqAiSML+erB40mkLKpKw5R1E+IxGPqe/kIqxYb6JE2tWWJhX6f1vfUkA2SyNpGgj1GVXzxkxeuDe0d/9cNd9cHgeZI9dmIqKyu5996/8PWvH8uYMWPZY4+9Om8kJcLwo8w0yrERXShYbF3ZwkVoGiqbgi0YyR47FpqmEYsV8q1vnYZh+Bg2bBiXXvrjgW7WNjF58mQmTJjAKaecwp133klJSQnb6gOZMmUK55xzDieeeCK2bXPkkUcyf/58AG6++WauuOIKEokEu+++O6eddhoAV111FZdeeim33347w4YN45e//OV2u7aBJGs6aBp8tLKR8cMK8gYyuJrJBRE/oYBBXXMaQ9cI+nWkcqeRLUvhSEVlSYiSgiAZ02FDfZJ4wiQY0PFtQX3B79PZa1IZb35cw+EzRhL06SQzVrdG8lDBkZJ1tUlakiax8PYzYfw+nZaUyQil0HbQkKsdlcHcD3tGsscOz7Rpe3DTTb/m9NNP4tlnX6aysqrjBtIBIUCAMlOIzQxcV9kijQj0wINg+FGZVqBqq5t67BiceuoZnHrqGQPdjC+Mpmn83//9H/feey/f+MY3uOOOO/LJjD3lpZdeyv998sknc/LJJ3faZsqUKTz8cOfqWSNGjOC+++7rfcMHORnTpqYpTXPC5OA9O6rpWJZkRFmUWNhPcSxATWOaRMbCp2uudzlmUFYYzHuOoyGNiSMLiSeyNMQzJNKuh1kA0c08ovtOqeC/H9WwdFUj++1aSTK9dRnLnR3LlqypaSWVsSmIdPYgfxE0TSClIms67RrVHv3GYO2HvSfBo9copcBKI/x9K8DeG+bPP4bly5dx2mkLefzxZ/IFEABQDggNoflQ6XhnL7BjIehZopHQfchMHCUdhNY7A6Q/6Wn8o0f/0deRbW3HP+200ygvL+eMM85A07wY1m1B2SayeSNatJSMJVm6qglDF0wZXZzfxpESXdfynuWg3+ggI6aUBDON2Cy0QhOColiQoljQNcosh7qmNPGU2cFQLo4FiIV9bGxIoWkCx3Er7w3VuGTbkazIVciL9cJAllKxvj7Jyo1x1tUmGFYaYY+JpZR0IamnCUEyY20XI9nrgwcf29IHe0ayR++xszgttRjlYwe6JR24+OJL+OSTpXzve9/hjjv+lO+glHRA6OALIFPNaMXD3SS8NhwLpehe2WJz7CwMokHCpmiajuPYGMb29bR4fDEcx0brw4HVwQcfnP977ty5lJaWcuWVV/bZ+XZWlGPj1K9CWRms1kZEk87Hq5qZNKqIgL/9+0tnHCqKAqh4LSpSjDA6JnzJeA2yqRqtfBx6pKjLc2maIBQwGF4eIb3eIWPaBP3tr+VhpWE2NqTyn7PW0E3eS6StXHhL9/2alIq1ta0sWV7LqupWVte0YlpuTG5pQZDP1sf51wcbGV0ZZfYewxk/vN1p4vdptCSyXzisRdcNLMvMy1l6DA62pQ/2jGSPXqNsE8ytZ8D2N0IIfvWr2zj22LnccstNfP/77YURQpFYTp1C5qTg2g1caWV7aSGDNDPog9RIDoWitLY2U1RU2nEw4DFgKCWJx5sIhbZPkt6mJBIJotEo3/zmNzuI90+aNIm//vWv2/18OzNKOjj1q8E20YIFWKbFurpqUlmbqSM7eh6llMSsBmS8AZVuQa8Yny9ZL9NxVHMNIhhFNaxG6QYiuOXv3tA1xlbF+HRdM7YuMXL6sVUlYZavbcG0HIQQZEybaGhoDn4bWjIE/J37M6UUy9c2s6o6wcaGJNUNKUy7zSgOMHVcCeOHFzC2qoBw0CCeNPng8wbeXV7HQy9/xgXHTct78H2GRiJlYzvt38G2EI0W0dxcR1FROT6f3/MoDwK2tQ/2jOQhjnIsECLfufdoHyuDciyUkoPOCAuFQtxzz1846qhD2WWXySxY8BVOu/BiLv/+xew1fTqgITOJjgaume7V9QvNB2YSKNnu7W/j3//+F9/5zrcYN258ftlFF13MoYcesdV9o9FCmprqqKlZB3Q9vaSUIpVKE4l0beibpgUodF0nkUhQWFi4LZeBpmk91kDeuREUFEQJhbbtPnbHqaeeymOPPcbMmTPzmsX5swrB0qVLt/s5d0aUlMiGtSgzhRZ0wyYcJahOGoDFhGAjWsKPjJSRtSSFshkjm0KEiyGbRDasRSsdA9LCaViDCEQQug/lD+PUrUSvnNBtiFrArzO6MsrKja0URHwIIRhW5uokVzemqCwOD9nkPdNySGasLot9/O/Tep56YzWGLqgsCbPHxDImjy2hLObvcvuCiJ8Dpw9j17HF3P74R7z83noWzBoL5IoMociYDtHQtr/bQiH3e2tpqcdxBjaW3OuD29i2Ptgzkoc4sqUGZWXQy8d2MBSVUqhsAhGIdh4Fm2nXIyslfIHRdl9RVTWMe+55kIULj2fMmDFMHj+O/7z9jmsk+wKoZBMqVpY38JWZAr0X3hlNByvbR61vZ8GCr3DttTf0ej8hBCUl3WvUrlmzmquvvoZ77/1Ll+tvvPFnTJ06nXnz5vf6/JsylGSptkZf3Ys2ibdly5Zt92MPJZSZRKZb0DZ5iVq2Q1NKEvYLgpECtGSdG25m6RQHWhHBErd/DEaRmTg0rUfZWYTQELk+Reg+lFLYtSswyschuilrXxAJUFFs0xjPEgkZDC91jeqNDSlGlkeHbPJePGV2qTjRkjR5bvE6xlRGOWXOJPRcDH5PJOBKC4Lst6ubHLnvlAqqcvfa0AWtSfMLe+xDoUjeWB5IvD64nW25F4PPwvHoN5RSyFQLKptCNqxxY3cBJW1k41qcms/d0ITNkNlcjNwgLuc7ffqe3HDDLzn99BOZNGEsb737HpBLvLMyyGQT0KZskYFeeJLRdKRt9UWzu+UXv7iBm2++npaWZo488mCamhqZO/cwzjnnDA477CD++MffA/D884uYN+9w5s49jMcec1UI/vWvV5kz58sceuiB3Hvv3dx11+289dZ/eOihv/Dii89x/PHzmTfvcL73vfOJx1v4298e5Prrf8p7773DaaediFKK7373O8yffyTHHjuPTz9dzpo1qznuuKM57bSFHHTQfvzrX6/2+z3xcFmxYgUNDQ0AfPjhh1x77bW90kf2AJVNdZpRsixJU8qhNKqDEMhAFLKtBNK1BAuLO8ykiUAMmWx0FXQ28xgLw4/Q/Tg1n+G01nebQFQSC+JIt+pZLOwnGtokeU9KbGfw9rt9gVKK+pYMQb/eafk//r0KqRTHHDgubyD3htnThxEKGDz71pr8dxLw6TQn+94J4rFj4BnJQxnHRCgHLVSATCdyU41pnNoVyFQLCOHGH2+Ckg5IC6FprrTaIOTRR//OvvtOZ/369Xz1+K9x/yNP8NZ77yGlxJGS6jg4Devda3MsBL3LQhaaDtLqc7WCp556gmOPnZf/d+KJp/Dii89z/vnn8MMfXkZxcQkNDfVceumPWbToJe6//15M0+T666/jkUee4sknF3HXXXeQTqe54YbruP/+v7No0UusXbuGb33rPPbb7wC+/vUTWbVqJfff/xD//OfzLFnyAZqm8Y1vnMSll/6Y0tIyAJ5++h/EYjH+8Y/nuPbaG7jmGlfDsrp6I3ff/QC//OWt3Hff3X16Pzy65sUXX+TEE09k1apV1NTUcPrpp5PJZHjsscf485//PNDN23HIJjrNKGVznuSSSLvxnCFIrLQMfbMEICEEWqgQLdi1hrow/BCIIpvWIxvXoGTXXuGAX6cg4idruv2rm7zX5hUVQ85IzpgOpi0xNktYfO/Tej7fEOfwfUZSHNu2BLlgwOCQvYazuibBsjXNAOi6W3wjaw3O95tH/+KFWwxhlJlB4easaaECZCaOTLcgdD9aMIbKplCZBIQ3ieGxTYQSKMGg9SQff/zXGDt2HHfeeRsvvfQCxbEoiWSSz1asZOyYsSRMScqEWPNGtFhZ/h70BgHuIKEHBUi2la7CLRYuPJlbb/1VPja5srKK8eMnALDLLruwZMn7rFu3hhNP/CoAra1xamqqyWQylJeXA3D55VexZs3q/DFLSkq56KLziEajNDc34TidXw6ff/4Z++yzLwBTp05j3bp1uXNOQtd1KiuryGS2j/fFaalBi5W7AzGPrXLnnXfy4IMPMmHCBP74xz+y6667cu2115JOp/nGN77BGWecMdBNHPQoJZHZVKdQiGTGpjUjKYm0G8RSqm2eiheajggVIlNxkA5a2dgu8zrKCkOs2NBCMOAayZ+td5P3UGA7Q6tIbksi2ymqrzmR5bnFaxlTFWPGlPIvdPy9J5Xz9rI6nl+8lkkjC9FzJ0tnLAJbqYzosfPjvYWGMCrT2mF6UQsWuDHIbaWZDR8qm+i4j2O5qWCKfHjGYGTvvWdwxx1/4uXnX+XIgw9CSsUTi57NVcKCxoyBTDbhJBq3/ST9fP3xeAsPPHAPxx33Ve6443cA1NfXUVNTjW3brFixgilTdmP8+Ak8/PCTPPbYP/nqV79OVdUwfD6DpqZGHMfhtNMW5jzn7sv2mmuu5I47/shPf/pzLMvK63tu6ikfN2487777DgBLlnxAVVVbMZXtm7WtlEIlm1yJPY8ekU6nmTDBHSi98847zJ49G3CTWPt6tmOnwW6bUWp/JUqlaGh1vb2lUddYsh2F36cT8H2xwbEWjLmzd/HaLtdHggYBn4FlS4aVRlAKaprSCOEmsQ0VpFQ0xDOEcrJ4Sik+WtnIH55aCgqOmTX2CytHaJrgkL2H05wwWbHRjVf1+TTiqf4PqfMYfHie5CGMTMcRRsdpqk0LZHRVOENZGYQmXKH8QepJ3pThw6q46uLzufTii/H5fGQsia4JTNshQ4BgoqGTvmlPUADSBvpOB/Opp57gww+X5D+/8cbr3Hnn3Rx99DEsWHAkRx01F8Mw+NGPLmHdujWcffa5RCIRzj//e3zlK3PJZrPMmzefYDDIFVdczcknfx2lJKeffhalpWWsXbuW++77M4cddiRHHHEwsViMYcOGUVtby9Sp07n++mu5/vqbATj66AW88MKzLFgwB6UUt912V99ctHRQdsZNfvIPvSz+baHNEFZK8d5773H22Wfn16VSqS3t5rEJys6ilOgw5LMdSWMqJyWWM5JNy6G8aPs8lyIYRTXXoALRTvJwQgjKi4Ksq0swLJ+8l6SsMEjWHDrJe6msjZQKTRO0pkye/s8aPlnbzPCyMMfMGrfNYRabM2FEIX5D45M1TewyshC/oZNIe0ayh2ckD1mUbSIcu2dV8zYtnGGmQPMhHAtl7wCdtZIoIBh0NU7tjI0Q4NM1mpIOw4uCsA1GsntoZzv7UduZNesg3n9/y2oFixa9DIBh+PjTnzqWAp4//xjmzz+m0/GefvqFDstefvnfAJx6aufjT5o0mblzjwbggANmAfDrX9/Wabs2dYzRo8dsUSmjV0gHHCcX5lP0xY83BJg4cSL33HMP2WwWwzDYc889UUpxzz33MHXq1IFu3g6Bm7TXcWLVkYrmlOu1LYnoKAUo18u7PRBCQwXC2PWrMKomdRqsF0T8aPWCUEAnEjTYWJ9iz4llpM3B75zYXiRSJrruzmrds+gT4kmTw2eMZOZulWja9ut9Dd0tF/7JmmaOPkDlkiQVlu3gM7yQi6GMF24xRFFWBtUjE0+4xTZyyGzajcMVGkizm/0GCZtNN9uORNPc6bRU1sbE2CatZ4FADbD+5U6JtEFoqGz38k0e7Vx22WW88cYbLFq0iJtvvhlN07jmmmv4y1/+wg9/+MOBbt4Ogcq0dkrasx1JY1IS8QuCPg3LdggFDQx9+xlNQvch0JCN6zqtM3SNssIgGVO6yXuNKQxdIzOEPMmtaQufobO6JkFjPMv8L43lS1OrtquB3MaU0UUkMzbr6ty+RylF1ho6AxKPrvGM5CGKSrd2CK3YEkIz3KxvXGk4V9lCB02DLhK8Bhtqs5AQ25Z5vU1dFzQnuo59NT9+EWtZN5JmQgd74AcJbd7gvkYpxYIFc9i4cUPfnkc6oOvu9PcgjnkfTJSXl/P73/+eRx99lP333x+ACy+8kKeffpoRI0YMcOsGP0pJVwZyMyPZtBya0w4lUddzbFmKouj2D68SgTAqk0B1EYdfEAkgpRuXXNecxpEKRyqk3PljzR0pyZgOhi5Y8nkDfkNj1zFF23w825HEkybxpNnl/Zs4shBNE3ySU7nQNEEq64VcDHU8I3mIIjNx8PUgzMDwIdO55D3bQqjcCF5osCN4UpXsUHTOciRablo14NOJJy1Mu6MxprIp7OX/xlr+eicJvDyaNqSSy4QQHHbYEZx11mmYZt8NDpRjI8jFhg6CQciOSklJCfp29Hju1NhmlzKQWbNN/k1HSfcnHwr0zT1VbKI/vwkBvwZCMKw07CbvNbrbWENABi5rSlAKx1F8vKqJKWOKexz6oJTCkRLLlmRNh3jCxLIlI8ujjCiPkkhbnSTegn6DsVUxlq1pQimF39CGbPEWj3Y8I3kIomwTYVs9KsUsNMONP3ZsV9lCqLYVbknrwY7q+PKzbIme+yyE6y1oSXQ0xuz1H7rGtWPhbPyk6+Nq+pYN6J2Uiy76PmVlZVx11WV9dxLbdJ8tRZeeNQ+P7Y2ysl0Wb09mHVozktKoTta23RjhbQjN6gnCCECuwNGm6JpGwKdTUewmC25sSIFSQ0Ir2Q0rEXy6voWs5TBtfMlW9zEth9akRWvKxLQkQkAwoDO6Ksbk0cWUFAQpLQiyy8gilILEZgoWU0YX0RjPUt+SwWdoJDN9r4fvMbjpVyP5F7/4RX+ebodFZZM4ycY++3EqK4PqRUiXEoCddZUt2l4SmrZFMfzBhHIc2mTKXO+CYtP3XNCv05LIYm3iTXbWvI8oqECECrDXLaFLdpRBwnZE0zRuvfUOXnrpBR5++G99cxLbBE1H6IabvOfh0ccoM4kQHR0GUinqWt3fd2lEx3EgEtq2BN8eYfiR2WSXeQ6RoEHQrxMOGrmiIgLL3vmN5GTawme4oRbRkI9xw7ou0gJu+fB40kQIwajKKHvsUs6uY0qYOKKIMZUFFEUDHcpahwIGE0cUEgkZpDPt93zSqCIAPlnTnJfBNL245CFNvxrJr7zySn+ebodFttYha1e6paL7wBBT2QRC9HzaUCCQZhqySdDcuD0hNJA2GdNmxfrmDkbmoEI5rssY98W3uctICBCaoDnnTZatdcim9Rij90AfORVZ81mXSWRu1T27U8zzzk5hYRF/+tP9/PjHl/LRRx9u9+MrOwuaDrrfS97rJatWreq07A9/+EP/N2QHQ2WSYHSMR3YcSVPS/W2XRHWEAKMPksXaaNMtV2bnkItoyIfjQFVJmJqmNLrOkEjea01b2FLy6boWdh9XvMVkPSkV6YzDuGEFTBxRSFE0kC8I0h2GrjGyPIqE/KCjIOJneFkkX30PBNnB+m7z6Bf61UgeOXIkZ555Jr/97W+5++678/882lHSQaZbEZFiVKYVu/rT7WosKCVR6TgYvUhA0X2QTbqG8iYV5pJpm8/WNFLbmCZjDtKOxLHzRrLjqC5rXwT9Oi1J15tsr3kfEBijpmOMnAZKYq//uMtDCyUGbWnuvmT33adyzTU/58wzT6GlpXm7Hls5FgjN9SR7yXu94pxzzqGmpgaADRs2cMopp/DMM88McKsGN0pKlJmGzULPbKlo2kT+DehUFnl7IzQfKtXcabnfpwOKssIgDfEMmibIZHfu34VlO9iOZPnaFhypmDa+dIvbJlIWw8sixML+XhcW8Rk6YypjpDJ2fuZ2yugiNtQniSdNNA1SmaE1Y+jRkX41kouKiqisrGT9+vUsX748/68nPPXUU8ybN48jjzySBx54YIvbvfLKKxx66KHbq8n9j5nOxdFqbvU7zcCuW7ldPJZKKWTTBpRlInpTTln3IdOtkCsqIpWipilFbVOKkF8Q8OlkB6uRjKQtvsLZQviKEK4npyWRxVn7AVrlBEQwhiisQsTKcbYUcgFD0kgG+NrXFnLIIYdx4YXnIeX28aYrJUHaedUVL3mvd3z/+9/n7LPP5oEHHuD4449n5syZPPTQQwPdrMGNnXUTRTczrpyNy4nFVxAJCAK6hq6JDtP1fYIvgEzFUZv9nvw+N3mvpCCIaUkyWYfMTl51r0167YPPGygrDOYLqmxOKmMTi/gpLQxu87miIR+VxSFac/HJk0cXAbB8bXMuec8zkocy/VpM5Oc//zkA69evx7ZtxowZ06P9ampquOWWW3j00Ufx+/0sXLiQ/fffn4kTJ3bYrr6+nhtuuGG7t7s/kanmDgasMPyuPJGZhkDkix27pRqZaEAEtxzb1RVC02lT0pdKUt2QIpWxCQcNHI1cgkOWMgZhhTTHTf4AkI7aXDY5T9Cvk9rwGeF0HN/UIwDXcDZGTcP6+CVkqhlts+IWqu34vk6HGxJcc83P+cpX5nLrrbfw3e/+4IsfUDrt6imQT97zKu/1jKOOOgrHcfh//+//8cc//jEvB+exZZSdRW2iGK/sLOYHi9BWv8cRQGFkGrZzGP4tlKFWVhaU7PSMymQj1kcvoBUOw5g0q0da7EJo7kDR6tjXtyXvFUfdmOjmRJZSXUMq1feG+wCRylok0hZrahJ8ea/hXXqILdstFDWyPPKFS1NXFIdJpN3wwbLCIAVhH2tqEuwzuZxEur3qn8fQo1+N5NWrV/Od73yH2tpapJQUFxfz+9//ngkTJnS73xtvvMHMmTMpKioCYM6cOSxatIgLLrigw3ZXXHEFF1xwwQ6bIKiUdI3kzargCU1HplrQv4CR7MTrkPFa10O6DR2KEgrpSGrqU6SzNuGQgWaCVA4+Q6MxM0hj5JTMh1vYUlKfsHEQFIQ6xmQLAeH6pSgjgD5sSn65PtI1kp21S9AmH7T5wfu06t5gx+/388c/3sucOYew5557c/DBh3yxA26WtJRP3vMq73XLt7/97Q6fCwsL+clPfpJ3Qtxxxx0D0awdApVJ5p0STtN6zMWPoJKNZEbtz/srmtnft4TMsiRyqlvBUjkWKtGAU7cSp3o5sn41APqoafgmHoCIlWN/9h+sZa+AlDjrP0Y2rsW/z3E9GuwJTUem4536+mjIIBZxjeSGeJbSwhC2LXOhGDsfiZTN+no3zHDK6OIO6xxHks46KAXjhhdsl4p4miaoKg2zckMLQb/BiPIo6+oSbvIekLUcQgGvQPFQpF+/9WuuuYazzz6b4447DoBHHnmEq6++mnvvvbfb/WpraykvL89/rqio4IMPPuiwzb333stuu+3GHnvssf0b3gc4iQZUKo5ePqbdy2CmQcrOXgdfEJlsRCuq2qbqcE6iAdm8HhEs6LC/UgoVr3WVHLZiOEvNT3VzmqzjGsjuAQAp0XUN23ZliYweJEz0J8ppT9yzHcnj/0tgO3DmQcUURzbpXB2TUNNnpEomozuCYG6VFilGKxmFvW4Jvs2MZDEEFS42Z/jwEdx++x8499wzefbZlxk5ctS2H0w6KDYJG/eS93rEnDlzuv3ssWWUmQLdh8qmyP7rzwh/iMCBp7M2U8yD7zcSHFPB9KbX4a0/kBZ0UFwRsXKMiTPBsbFXv4ez5n3XA5xNog+bgm+PuTgblmEteZbMK3cR2P8baIWV3TfIF0Amm9EKqzr0yZGgj3DAwNAFDfEMKLc/2xmNZKkUyYzFxoYkQb9OeZEbSiGlIpG28OkaVSVhCqP+7VoyOhwwEEIgpWJEeYSlq5tIpi2EUpi2JLT968h47AD0q5Hc0NCQN5ABvvrVr/LnP/95q/tJKTt0GGoz7dvly5fz3HPP8ec//5nq6uptaltpabTX+5SXx3q9j1ISq3EDll0PfoHfl8FX7HacZkMcuziKHuocf2WnJMGYjh7qXTvt1ibMlga0qspOFfaSn75N878eIjrtYApmzOvWUK5pBD0ElaFNYgsMGwrcDqygMERhUZhwcHDFHqRTQYThQ2g6SdOhJS1xJNz/3xYumlNFrM2j3NSIkBbGyCmkbEVFeQg9N72W2GUvWt58kpgvixFt92rILGhRH4Gyjs/BtjwXOzLHHXc0n376A8499wz+9a9/EQh0fJv09H7YCQfTDKGH259/JxUnVBruUXXIHYG+eDY27VMTiQTRaJSPP/6Y5cuXc/TRR2/38+0sKKVcWctABKf+U3As/PueiigZRcOyBgBay/egYXg5ZY0foIWiaNESRLgYrWQkWqS9L/Dtegj2qndx6lZgjJuBMXxXALQJ+6MVVpF96+9kXv49xvh98U2ejdjCrKDQDJApsDKwiee5zRguKQjS0JIBFJazc+r3mpYDCtbVJhlVEc2/l9K5UIiq0kifhJlomqCkIEBzwmRkufv9rKtPMroiSjJtUhjpQwlAj0FLvxrJjuPQ3NycD5tobGzs0X5VVVW8/fbb+c91dXVUVFTkPy9atIi6ujq++tWvYlkWtbW1nHTSSTz44IM9bltDQ6JXpT7Ly2PU1bX2eHtwyzrLxvXIVAsimDN2V3yKXiXAF8TesA5hBBCZzjJAKmvS6qxHLx7evsw23Xg4X9dJCzIdR9athEAEYXYuzJD9fAkgSCx5lUwyhW/63C491Y6UrN0YJ+g3iNvtU+LCzCK1OIWhQuLxNBs2tlDYB2VbvwhWYyvCH0IIjfW1CRwJ00YGWLYxy23PV3PGrCJCfg1fw0YiQNYooLUxieY4FMXc++r4XRH75nVr0Svbr09ZWUSqCV0V5pdty3OxM3DGGd/m1Vdf59xzz+emm27JL+/N/XBam1AtGUS2vVtSmRSt66oRmp7z2gu0cOGWDzKI6epeaJrYpgF6V/zmN79h9erV/OAHP+Dss89m4sSJLF68mOuuu267HH+nw7EQyp0RkvWrQPehFY/AsiVNqXb5NzM4GmOX3bv12gp/CN+kWfgmzeq0Ti8bQ+jQb2MtfRl7xVvYq9/Dt8uXMHaZhdA7OxUUAmmm0DcxkgM+HSEEpQUBapvSaJoga9nAzme4ZS1J2rSob8kwbUK7qoXjKIpjwT6Nwy6IBKhvyTKsNIwQsL4uyYRhBSS8yntDln6dGz/llFP4xje+wa9+9St+/etfc+KJJ3LiiSdudb8vfelL/Oc//6GxsZF0Os1zzz3H7Nmz8+svuuginn32WZ544gnuvPNOKioqemUg9xcy0egmgIXcsAchNDACOI1rwUwhHHvLHjNfEJlsyqtcKOng1K9CNm3scnOVTboGsj/SZWU9JR2c2hXoY/bEmPgl7BWLMd99skvJrVTGcqfBN39ahIBcQRFdE6QGY1yykrRN4Dcm3fbtOizAwv0KqYvb/OVNV2JITze5L6dgIeGAQX08ky9XrUXLAJCJ+o7H1rQhV3VvSwghuPXW23n99Vf561+3rD7TLVbWrf3b4cA6sn4Vdu3nOPVrkM0bvnhjd1JeeeUVrr32Wp577jmOPvpo7r33XpYuXTrQzRq8OFa+qJJTvwqtdDRC0135t+T2lX8TwSj+vRYQPOw76BUTsJa+Qva1PyG7qLIndD+k4h2WaZqrIlQcC9DUaoKA7E4qA5dMm9Q0pQEYVeEOIM1cTHBfxwWHgwaG5iZLVpWEWV+XwDA0spaDs51UfDx2LPrVSD7++OO5+uqrsSyLTCbDVVddxUknnbTV/SorK7n44os57bTTOPbYY5k/fz7Tp0/nW9/6FkuWdCPPNdgw0wijo9dX+IIoM4PTvBG6yZ51FSYcN24ZV6lCmRlkNtFllSanaT34QluUepON68DOolfugm/qERhTDsZZ8z/S/7iezCt3kn3nceyNywBoSpj4unpJCC2fbOUzBKns4IrPVUrmy1IrpWhJuy+VgpDOxMoAX9krxuoGi8Ur02jpJmSw0K32prkvpbrmtFv+NRABXxDVurmRrA/5mORNicUKuPvuB7j66itYsuT93h/AMWGzIjciEEEEC9CCBWihApRtdZLI8mgnFArlE50BLMt7PreEcixQCpVNouK16GVjAVejtyktiQQEfl1sV/k3LVZOYP9v4J+5EJlsJPPynTg1n3bcyPC7/fpmz3k0ZFAYCSCVIpGySA9a2c0vRiJtU9OQQhOCEWVu6FXGdCj/AjJvPUUTgqJYkIxpM6Iswvr6pDvD7FXeG7L0a7jFCSecwBNPPJHvwHvDggULWLBgQYdld911V6ftRo4cyUsvvbTNbexLlNWxGEcbIhhFpZq3Ks0mhJv5jG0iW+sRwQJUJoEyU4hQ+76uZFymw7LNcWo/AyHQy8chhMC/6yFohcOQ9auQ8RqcjctwNnyMfeT/kTUdIqEuvNFCQ+Q8yYaukcwJsn9ROZ7thmqPZZdKkci4nVws6Br800cF+WBdlpeWJjm0qhEZao8xDPp10hmb1TWtlBYECETLkJsZyUJoKOmgpERs7gEdokyZsis/+9lNnHnmqTz//Ku9isFVtuVW2+sGIQDHAm1whfUMBoqLi/nJT37Chx9+yK9//WtuvvnmDmFpHh1RZhqhGTj1qwDQ2oxkS9KUdCiNGDhS9UlynDFsCtqXzyH75kNk33gA/14LMMbuA5Af1G8uBRcJ+iiMuOEZzYkskaBvcPW32wFHSrKWw/r6JFWlIXyG7sqvCUE03D+hJYVRPw0taUaUR3j7kzrqWzKE/Ebem+0xtOjXN3soFNrmxLodHaUkyra6DH0QQkOLlGy9wIcviEw0ohrWuh42IRCGD5XsGNstUy3deqUBZM3naMUjO8gSGcOn4J9+FMEDT8e/59FgmyRr1qLrbdegaEjYvL0qzaufJHnpkwwvfBRn8cfVuY69vbznoGCTMtSOI2nNuh+iOSNZCMG86VEcKRGpJmS4o9RQKGgQ8GnUt2RIGQWdjGT3GORDTjxcjjvuBObMmct3vvOtXhUacUtSd98lKYVrJHt04oYbbqCiooLf//73hEIhhBA7vG58n2KmQDc2iUd28z2ylkNj0qEspuNIRWA7KihsihYtJXjwWW4c9KdvdFgnhIbcTNnF79MpzuVJNMazKKWwd7LkPdOSOI5kfX2KUeVuqEXGtCkpCPabclIoYKDrWr6Ayfr6JLouSHqV94Yk/TosSqfTHHbYYVRVVRHeJIP9qaee6s9mDAyOjeCLdWhC01HKASPQbmwbAWQ6jiZthGa4WsuJRoRvy5qcKptANm/At+uWdW3bph7N2lWoEeU8+V6cT2tN4umORo8AxOefcOkpe6NyUjmDRpZIybyemKMgkXGnUI1NBhClUYPDxyt8jTZr7AI2971rmiAcNLCCxYTqPnaz4TdPlByiVfe646qrruW4447m2muv5bzzLt7q9m4svNq6xKEAaZsMkidsUFFWVsZ3vvOd/Ofvf//7rF69mrKysgFs1eBFmhmEP9QhHhmgOWWRNBVlUQMlFX5/3xlnwvCjj5qO9cEzyEQDWjSXqGb4UakWKGifCQj4dIJ+nXDAcGXgcGXgugyF20ExLYe65gy2IxmZi0e2HSiO9d/MkSYEJbEAUkqCfp31dQmmjishORhzbjz6nH41ki+55BL8/p0vG7dHOFZHDdhtRNssJKNN7FxlcyEXZtrN2u5GuN6pXeEeq3LiFrcRwRgqXEIgvo6Xs1N5Z3WG3YYHGD/Jz8Qik4JoCE03+HBNKw//L0tDPEMk4CNj2kRDg0QGbhNPsnQUrVlJQbCzeXXAsCw0wmvrAhw1UWHonb8lLerqdDutdRgl7VrAyj14X7R+h8bn8+UKjXyZyZOncuihR3S/Qw+LsgjNyMfle3TkL3/5CzfddBPpdPv9KSkp4d///neP9k8kEixcuJA77riDkSNH8sYbb/Dzn/+cbDbL3Llzufhid7CzdOlSLr/8cpLJJDNmzODqq6/GMAw2bNjAJZdcQkNDA+PGjePmm28mEvliVUL7CuXYCOnmeKh4LcbIaYA73V/f6hpDZTEdpcDQ+3ZIplftgvXBMzjVn6JNdI1kYfiRmVa3nbkZRk0TBPwGJQUBVwZOCCxHDsY6p9tMMmNR0+SqO42qiGLZDkG/OzjoTwoiAeqa04woi7CuLomhC6/y3hClX4egN910E/vtt1+nf0MBN0lk69vJdJzM6/ci43U9PrbQfKhks7t/sqnLkI5NcWo+A38YrWhYt9tlYiPxJ9bz9soku1T6+cZ+hew7xseYZQ8QWfsGQtOoiLodRn1zBsMQpAfTaFvJfPa6LSWJjMzHI2+KP9sMwGfJCH9/uwXT7vxFyYgrA5dprN3sHK60n0dnKiur+Otf/8oFF3yb1atXdb9xrpDIVtEMsDPboXU7H3fddRd33303Bx98MI899hgXXXQRhx9+eI/2ff/99znxxBNZtWoVAJlMhssuu4zbbruNp59+mg8//JBXX30VcJ0dV155Jc8++yxKKR566CEArr76ak466SQWLVrE1KlTue222/rkOrcLjgUCnFzFvLZ4ZMeRNCTd2bKyqA6CDjNPfYEWKUFEy3BqlndcoZSrl7wJIb+rcNEQzwIKezCFt20HEmmbDfVJCiN+CiJ+MllJWWGw3+Oug34dhGBEeYS65jRm7j63KR55DB28mOR+QlmZHhVEcFa/i6xbQfbtR7pUrchaNlJt1jH63JALZZvIZDP4t5wFrJTEqf0cvWJCt1PbpmWTjgxHc0wK7QZmTnD9Fb7GFWhWCi3dAkBpWEMIqGtO49M1ktlBZDBu4km2HUkiK4mFOl+zlm5EaQYzd6vkk40m9/y7iWS24z2WwUKU0Mg21XRYLjQNZQ+iax5kHHTQQVx00cWcddZpZDJbNm57PNDQDaTpGcldUVRUxB577MGuu+5KQ0MD5513HosXL+7Rvg899BBXXXVVPtHvgw8+YMyYMYwaNQrDMFiwYAGLFi1i/fr1ZDIZ9txzT8BVLFq0aBGWZbF48eJ8tb+25YMVlZvZ2zwe2XYUjQkHXYOi8PaRf+sJetUuyPrVblx+DqHpyExHXe1QwKAw6ieRtnCkImPuPH2PIyUZ0y1H3Sb9pgQDkiynaYJwQKeqJIRSsKE+6YYTegoXQw4vJrm/MNOuF6wblFLYa5e4oQ4t1VhLX8Y/tX2aWirFhvokfp/OsNIwmmhLQNNyscj1QBdlrTc9R0u1Wza1m1ALgFTWxoyNAGDPaC0TyqcA4Kv5GADNcqfEfDqUxgLUt2TQdY1U1sKREn0QqD2oTWKSM1mHlKm6DLfQ003IUBEzJ0YoCOs88nacP7zWxMkHFFIWzX1nmo4MFkGiAdOy8fvc5Y4SNDU0UR4tGRTXPBg599zzeeedt/nRj/6PW275LdC5amZPQ1baFUXsrc6YDDUMw6ClpYUxY8bwwQcfMGvWLBynZ/d184IjtbW1lJeX5z9XVFRQU1PTaXl5eTk1NTU0NTURjUYxDKPD8t6wrUVVtqWKodmYwLaj1DetIVA1jpLS3DHiGVqyUB7zURANYTkOpSV9HzKS3WUa9Z/9h1BqPaExUwFQjh/lmIQ2uT5/yM/wihhQjUQnHA12uP4dudpnKmOhtGZaUxaTxpRQWBhG95mMHF60TSEOX/ReWELgCA1YQWPCYtKYUkKRAOXl26f4T3+yIz8X25ve3ot+fctcfvnl/Xm6QYWys13Kv22KbN6ASjTg32sBsmkD9qf/Rq/aJZ9El87a2I7CcWw2NqQ6Gsq64Sbs6d3HfDs1nwGgV0zodruWpMWGbBjNibFnpM5V0rDS+BrdeGaRM5IFUFkSora5PQ7StCShwCAwGJXKySFAY8r1uHQVbqGlm3AibnLTbsODxA7UefC/zdzxciOH7hpl5oQQmhA44RKMVCOtKYvSQgOpJDUtWeLpLMEyM1+hz6MjQghuueW3HHXUIdx//z2ccsrpfPvbZ3LGGWdzwAFuhTJlmwjRs7hDgQDbAr9nJG/K17/+dc4991zuuOMOjj32WJ5//nnGjx+/TceSUnYYxLQNara0vCspst5Okfe26ilse4VLp64OmWjBbqpGDNudplwcbG1Titq4SVWhj+Z4CkPX8uv6EuWvBCNAy2cfkilo/85UOk6rvwFhuP16xrQJ5FQe1lY3E/JBUbBtYLJjV/tsSWRZvspVaiqN+amtb8Vv6DQ0JHp9rO1xLzIpk2zaorQgwGdrmpg2toi1GQvfF0zA72929Odie7Kle9Fd5dN+ects2LCB4cOHdxl//Nprr/VHEwYUJSXKMtFC3RtRztoloOnow3dDHzkNp24l5tuPETz02wh/iObWLH5Dw+fTSKU3M5R9QUjHwd+110MphbP2A6zlr6MVj2gvi90FpuVgWQ5vrcxgOVXsa60hriS+uk8QSmIXjEBLtcuhVRYFWLqmBSkVSiksWxIaDDK2m3iSm3LV9go2D7eQDlqmBatsUn7RqBIf5365hH+838qzHyZYsi7DMXvGGBcuIdC4gvpEmqKYWx42bUoifqhryQy6ktyDiWg0yt13P8Axx8xh992nMmzYCN588z95Ixnb7KKkY9co3OlysVOlLH1xTjjhBObNm0c4HOZvf/sbS5Ys4cADD9ymY1VVVVFX154XUVdXR0VFRafl9fX1VFRUUFJSQmtrK47joOt6fvvBijQzyOb1QHs8MkDatGlKSaaOcOXfIoH+SRgTmo5eMQFZ82mHAYcSOT3nnJHsMzSKou7fTa1ZbEchlerTUs39RTJjUd2YwmdoVBaHSGVsSgsGzvHgxiXD8LIIKze24jM0khlrp9Om9uiefnH3nX/++fm/L7zwwg7rbrnllv5owsAira3+qJSS2Os+RK/cBeEPIQw//hnHozJxrI9ewLRsUlkbn8/9ysIhg3TGpjHuxrAJoaGFi7o8j7IymG8/gvnOY2iFVfj3+1q3bUllLVrSDss2ZqFkFJqTRU/U4a/9GCdcilU8Fs3O5pOtqooDSKlobM2ia4KMNTji5JR0EAikUnnputhm4RZaNo5QskMhEXDjEU+eWcjX9i0gnpb84bUmWvUihJJo6RaqG1K0pizCoQA+IUlnbdKDKR57kOE4DuPGjefGG3/F2WefzvjxE/nf/95r38DObrWQSBtC4JUD34Tnnnsu/+/111/nueee4/3330dKuc1OiD322IOVK1eyevVqHMfhH//4B7Nnz2bEiBEEAgHeeecdAJ544glmz56Nz+djxowZPP300wA8/vjjzJ49e7td4/ZESQekhWypBqGhFbsJzEopqlsslIKymIF0+lb+bXP0ql1QmVY3JC6H0AzUJnHJuqYR9OsURf35vt9xdo442UTaproxxfCyCJomkArCA1i8w2fo6JqgqiRMIm25xbKkyifxeQwN+uUJVKp9emLt2rVbXLfT4tgoVLcSV7JuJWQT6KOm55fpJSMxxs3AXvkOmeH7oWkdR9WhgEFLIktJQSAfdtHpuOk42X/djUo149v1EIzJB21Vi7YlafH+ehMhYMSE8fD+S2jr38eIbyA+cha6z40nF5YbYlFZ6Eq+1TenGVMVGzwZ19IBoSGlojXdXm0vmbJdp6UCf7PrEXc2M5LBnS6eOiLIyGIfv36+gffqwxwJhOxmWrPFbhVCAQKJIRQN8Qxj+vHydiQeffTvXHfd1XznOxcyd+58HnroQdavX5dfrxxrqzH7eTTDrUbmAcBFF11EWVkZ48eP79SfCiE48sgje33MQCDA9ddfz4UXXkg2m+Xggw/mqKOOAuDmm2/miiuuIJFIsPvuu3PaaacBcNVVV3HppZdy++23M2zYMH75y19+8YvrCxwLAah4LSJamo9tl0rR0OrGcJdFc0l7fSz/til65S5u86qXtysP6T7UZpKH4YCRU7hwE1gtW+HbwSOPHClz8m9pZu5WmfPWQqCfpd82Jxb2UVrgzhBWN6aoLA5jWg6BwVILwKPP6Zef1qbezS8at7YjohyLrSkk22s/AF8AvWqXDsuNXQ7EXvkOzmf/Jjip48tOaG7IbTrrEOki1lbZJuZ//4rKJgkc9E300tFbbatpOZimzccbskys8BMtLMIJFhGu/QAA/9g9yNS6Ax2RTaGCUSpi7rnrmtOMG1YweKpASQdw4ygTpsTQwK+DMHTKi9ysZdnqVrXK+ou2+GMoCutMGxnkX+stjiwEX6aJSHn796SUIOQXNLVmMS1PIqgrvva1heyyyyR+9atf8NZb/yUcDlNdXU19fT2lpaVuTHKgh+EquoHKekZyGz/72c944oknSKVSHHvssSxYsICCgu5L3G+Jl156Kf/3AQccwJNPPtlpmylTpvDwww93Wj5ixAjuu+++bTpvf6IcK/fbr0MrGp5fbjuSxmS7kew4skfyb0p1nSytlAIle6RqBCCCUbTi4TjVn+KbcrC7UNNRZqrDFH8oaFAUDfDRykaklNi9qGo5WDEtSW1TGikVI8oj2I4iFNAHPBk6EvRRHHPDuqobUlSVhMmaDrHwVnb02GnolydwSHiLu0GZmQ6dqHJszP/9E3Ppy8hUC8qxcDYsRR++G0LvWIhDCxciR0wnXPcRmtU5gcFnaDS3ZjstV0phvvsEsnkD/hnH98hABjfUojru0JKW7D7CNVqysZEIQCsfR0l5BRWVbpJbNtmKowRBXVEY8VPfkkHTGFxGshD5anuxoIZSioChEfIbhAOGq5HsC2KJAFY38j5fmhgm7vjIaCG0VGOn9QKFQNDYxXcxlFBmKlc9rzN77rk3f/7zAzz22D/Zc8+9cRyb559fBMpBqF4MmDUDZWeHfL/SxvHHH88999zDr3/9a+LxOCeffDLf/e53efXVV3tVFnyooMxcqFiyCa2gXanDdhQNSYeCoEZAWGhmAl12/XtWSqLMlCu9mU2iMnFUNpFTXnHcEIlMHGWlUdmeJ03plZOQTevy3mMhNIRUHUqxB30GRVE/pi1JZ52dYmBuWg41jW6C5IiyCKbtEAsNfOGxUMAg6HfjwNvipRNprzz1UKJfjGQpJS0tLTQ3N+M4Tv7vts87PVY6r2yhpIP59iPYKxdjL3uVzLO/Ivvan8A2MUZN67SrUormyn1ASQLrFpM23ZeelmogvOxp/FYL6ayNtZnIuf3JazjrP8K3++EYw6ZssWnKynTQ5oynLD6ts9AFTK5qN5IBjFwoiJZL+isLOZi2IpvJUlYUpK45gxACe7DEyOWMZOkoWjOSWEhHKoVhtHt22krBjqqI4ihF1uz6eawqNJhQ4WeDVdDBSH53dZrFa0yEcggHdarre5ahb1pOp+9sZ0AmGjoVQNicyZOn8Ic/3MN//vMOX/3q18FxelWKUgiBUHQwHDxg+PDhnHfeeTz11FOcccYZ/OEPf+Dggw8e6GYNPsyUW/IZELH25ELXk2xTFgGJjioejR4IodItbj/pWKhsIm8Yi1ABRuUEjJG7u7kk0VLXKLbSiMJK9OG7YgybgggWINMtWxw8bopWPg4Ap2F1fpkSdHjW3eQ9t29uTZk7hZHcFmoRC/soiPiREiKDoHJrW1hFZUnYNZIHWy0Ajz6nX8Itli9fzsyZM/Oen/333z+/biiEW0gzgzD8rnf3f//A2bAU37Sj0IdNxl71Dvbq9xCRkg5Z1m1YtiStx4hW7Iqx/n1u/2g8c0c1s3/yFTRpgWORHH80yYxFUS6OzqlejrX0ZfRR0zF2mdV942wTpRuQTWFqfjJZm2Ubs4yv8BPya1iWxKiagq/AQM8Z8cLvzjX5VZbhFTHiGZPSWJDV1XWgGERGsgShkbUdElnJiGIfSrovmTZUogGtbCx+n8HI8ig1jWmSaZtwwOgktjBrYpiN/ytkVHI1Ukqe/SjJfz9PI4DRY9OUlodxHMWG+gQlBUFCAaPL57slkWVNbYJwwGD88IKd6jegrGwuYXLrTJjghqzITGuvS7YrFEgbGHhv02Civr6ef/zjHzzxxBNkMhlOPvnkgW7SoENZaWTSHehu6kk2UykakpLp44pIx0YRCfrRy2OobBKneSNIiYiVowci4A921On2h9D9IbSCSsAtMtSGVjoaAhFU03qUL5RXqugKrXgEaAayfjW0OTeUyqm5uPgMjYKIe4x4yiRjDpL+9guwadIeAEoNirhfTROEgwYVRSE+WdOM5UikI7FsB58x8O3z6Hv6xUhetmxZf5xmUKKkdL0AviDWh8/hrH4PY8rB+CbOBMC/++H4dj3EjV3rIq4ta9kIBSsLZ7BLzcdcWPA85a3NrHHK8RdXUtXwIeFRDTQnyimMBEA6mB88g4iV499rgattqiRSgqF3PL5ybPD5McrHk61eSU11HY2pAE0pyezJrqfCtCXlZRF8lTPad/QFQWhurLPfT4EwKS4wsB1Fa9rC0LXBIZOjXE9yOmO51faCGkq1l5lVtolKx9GipQD4DZ0R5RFaElnqWzJ5ub02xpf7eMdXjE8u56nFtby7UWOfsUGWrM3wygd1fPWwUmIRPxtr4jTm5PpKC0OEAgZ+Q0PXBTWNaeqa00RCBsm0RUvSzHuFdgaUmelxYZD8PpnWvEayyiZRjoUWLtr6fraF8Gxk0uk0zz33HE8++SSffPIJc+bM4eqrr2b69Olb33mIoZR0f/eJetB0RK7cPEBza4asDaUlMWzHjf0FEIEIxlaKL7UhuoihFUKgx8pQ/hB23UqQDsLftXyh0A20kpFuJcD8MXX3d5WLgzV0jZJYACGgJWmSHSRqQtuKlIqWRIam1ix77VKG40h8Pr2DM2MgiYb8lBa6SfM1jSmKY0FMW3pG8hBhB8+J3QGQFkK46hX2Z//BGL8fvilf7rCJm9jR9Q8ulbERAh5ZajCfcUw3VlJXsgcP1u5B8+os15YuJ7zuvyTHHU3WctBX/ReVbCIw61RspRGPZ2huzWDoOiMrIh0TIawMoqAcpflYr8qReoZPN8bRBEwZFsCRCkMXBDeT4RFCIAIRVDYJQhDQoThn6NU1pxlWEsnvO5Ao6YCm05K2sZyc/JsAPdculfMmiZyRDKAJQXEsSDhoUNPU0asshKBieAXUQHNdHXOmTuBLE8NEDYdXP0vwpYYUxUURwrmXq+1IappSbfVMUMqNXS6I+BDC9VBsqE8SDfk6DWB2RJR0QNm5RNVe7JeOg5EblC15Ftm4ltCR3+12H6HpKCsDFG5rc3cavvSlL1FcXMwxxxzDhRdeiM/nTlN/9NFHAOy+++4D2bzBhXTj32W8LqdskRucKUV13B3clRYGUUBwOxerEYEIRtUuOHWrUNlWRKDryl9a2RjsZa+hrAzCF3RD9TZTuIiG/RSE/TQnTGxb9roIy2AiazlUN7nXN6I8gmlLCiODZ/QbDhqUF+aS9xrTlMSCpLM2keDAh4N49D2ekdzX2BZKCVeTE/Dt+uUee1iVUiQyFu+uMamJ26RnHElrYQJfbBjfkorfvdjIYrkbB9T/j8CwOuKNJtFlr+GUTaRaqyRd3YoQgqDfIGPa1DenqSgOt59fSUQwyoaGBClTEi0fzUevfcC4Up2wXyOVsSkrDHYtVJ8zkoXQMHQojuZk4FoyDCuNDIqkKiUlEp2WlPvyaysk0nY9MtHgft7ESG4jkAu/iCey1Mcz6Jog4NcZNaoSauDoCSZlE13XzpfGB3hztc0r761ntwnt07eGrhHdpHjJ5t51w9BIZx3qm9NUlfas9O2gLhwgHTfExe65kaxsEywLkSu0oxINqGQTMtmEFuksy5dH07ca+zxUKC5279OTTz7JU0891eG3J4TgxRdfHKimDT5ysxyqtQ6tZGR+sbIyVKd9gElZYQhQfeLJFEbALRrSuBaZanFDL3zBDv2CXjYWm1eRDWvQqyaB7kNa6Q5ulFBApzDip6k1C4MpD2QbsB1JdYObtDe8NELWcogOgqS9NgI+nUjIIBw0qG5MsceEUpIZK/eceOzseEZyHyMdC4RCpZrAFwBfz39Ylu3QknR4+ZMEk6v8TBoRxRGu90HXBDPGhXjyo8nsV/oxBRsWYwofSto0jJiFcCShoEFb3xsMGLSkLIJBk8JwACUdpNCoa1U0tGQpiPiobU7TkHSYNT7gGi9K22JnJQIRyLryaYauEfRrREM+6nLlqR2pGPBxtrSxlEFrxjUa2kpS6zmvbdvARURLutxdE4KiWJBw0L03maxDMFSI0gxGBlppM9GCfp0DJ0V44aMWVmxooTjc9c+qq8FRNGxQ25ymMBogtAXhfKkUqYxNQ0uajOkwYUTh4PQ8S8cNcemFJ1lZmQ7xyDKXUCXrV3dvJOsGytNKBjrKtnlsBekgbROVakYbs1f7YtukPuNO8cdCBsmM02fT/UI30MrGoGVTyNZ6NzFQM9w+FVzjXdNx6lehV01yw/AcGyXtfBx0yG9QEPGzYmM8lwcy8E6JbSVrOVQ3pigvChLw65i2M+D6yJvi9+kYulsFsLrBVbhIpu3BEVLo0ef065v2hRde6LTs8ccf788m9D9WGiEMZLIZES7u0Y9KKbe8c8ZyePETd4Q9b3qs0757jg5iigAfGVPxNywnUv8R2RF74y8sx2dobLq5EBAO6NQ1pclaNqnWVla16NTHs/np/6WrmhACJk0ag5NJEwnqWzTG8uEWuEankE5e4QLFgE//ud40hS0VyWyukEhAQ2gCTQi3TPe6D9HKxyGM7mOC/T6dyuIQUrklYWSoGH1TGTgh2H9sgEjQ4Ol/r+yVF10Igc/QWF+X6KSsIZWiMZ5h2eomVmxwVUyylkNLcnBWm1PSdmPVe2Mkp+OIXMEGJW3IujKHziYxmV0hNANlmW7Mv4dHD1HSQSXdGSRR4CpbKKVwHElDUlJWGMSRrqe2L2dshNAQwSh6+Vj04buihMirXwjdh1Y8wk3ey+9Ahxkan6FTGPWTythkLXuH9iSnMm7S3oiyCFIqNE3DP0jikduIhNzkvdrmtPu8SLVD33OPntMvnuSXXnoJ27a58cYbO+h22rbNrbfeyrHHHtsfzRgYzCzoeidNzu5QmVYQ0JiAz2otZk4IURTuPLIO+zWmjgjy8MZJTC3+EDSdzOgDtnhcTRMYumBdbQKyrWgVFcRyMjuOlHy0sonRlTHCsQKSZgWj9RaUinZp2HcwkjWBT4eygiAfrGhAKcWAh8gp9znLZG1kOg7oRAJaPk5aNqxBJZvaRfu3gs/QKY4GaE5kiYSK0RO17SuFTkCTzN5jOM+8uYZ7Fn3CkfuOas/U3gqhgEE6a7N8XRPDSiKUFATJWg7r6xKkMnZ+qs9th3STR6IBtE0KHbS9LItjwS2dpu/JxYArp2eJREopZDqeH6SodE5PVgjkJhJYW0IA2Bnwe8r+Hj3DTdrLhVnFcv2xbeL4IjS11jC6Kobt9G9MrDD8aKFCV5Yu4D7LWtkY7OWvo6wswhdAQU7hwp2J9BkaRbk2tqYszB1YTrKmKUU66zA8r4/sG3Qe2kjQR2lhECkVdc0ZIiEfWctL3hsK9IuRvHTpUv773//S0NDQoSKTYRicccYZ/dGEAUNaGbe0aKoZsVk1va7IeyE1H5+tb0YqmFCx5Q5733Eh/rc2w9slR7PrqGg+AWpL+H06jnAwtAB20O2QHSl55JUVNMQzfHmv4UipUMFighENbNMNE9kMEYiAY7kvHb8g5IPiWADTkiTSJs5AW8nKLQNutdQyt+kB4qED0UUZPsPtfO0174PuQx++a48PWZgzkp1QCb76T0HaKGGQzkrCusmMKeVEIwH++cZK/vCPpewxoZRpE0opKQhQEPZjO5JV1a18vj5OTVOKufuPprLE/Q5CAQMpFRsbU9S1pLFsid+nURDt+N3ruoadcWhJZvMGse1IVtfE8RvagBrJyjZdD6/s4VSkYyKkjdDce6DSbqiFVjERWfMpMt2CFuomMU8zkK31PS6U4+GBY6ISja6yRS7MStlZMkY58dQ6SguC2LbaYuhTXyHCBchEQz7sSC8bi/3Jv5CNa9ErJyKE5iaqhtxKioYuKI65/XI8ZW5R332wo5RidbU7OB5RHsWyFNGiAQ/U60TQb1Be5Pat1Y0pJo4sJJW1iA4CLWePvqVfeoLzzz+f888/nwceeGBI6XYqlZN/cyyQNqK7GMs2rAxauICsr5A19TVoAkaVtP8Q06aNoWn5eLkRxQbDCg2e31jELlNKQCk+rzNZttHEchS2o1DAzPFhRpe6xzGUhQwWgNBcA/nVFSxb08yc/Uax+7gSUhmLksIQWkhHNqxFdGUk57x3ykwhwlGCvvZOu7E1izPQU1FKIpXCSTQBMDf4LilnL/xG2K1wuP4j9BG7bTXUYlMMXaO4IEi6vogQClLNJLUiwkEf2UQKA8WXpg9nXFWE1z+o5s2Pa3j/c9drpee8vo50E4I0Ifjri59x9oJd81nSmiaIhX3YtiTo17doZIYDOtWNKQqjATQhqG5MYtsKRzoDGydnmyB0ULbryRfde1mUmc4pfuQ+5+KRjdHTMWs+deOSR3UjY+YPoZLNqMLKXn2POyvXX389J554ImPGjBnopgxebMs1RmNleclNAVS7k2KUFrjPUX9r9Ap/CER7cq9WMsrtn+tXoVdOBK2jwoUQgsoS16vcmjLJdlMtdDBjO5LqxhSGLqgoDpJM2/0+QOkJfkOjKBbEZ2hUN6bYbWwxyZQNRQPdMo++pl+fxoULF3LXXXfx2muvYds2s2bN4tvf/jaGMfh+FNsFx5Vvk8lmALTw1o1k5Zho0ZFksgarWwQjinQCOYM4nXEI+g2kUiRTNoGAhqFrzBgX4qn/tfKv5SmWVWdZ32QTMARBnxtekTYly6uzLNy/kIkVAYS0UYECbEfy2GsrWbbaNZD3380VwnccRVHUj2YYbMkf3JZkorJJ0AoICpkPCUhmbOyBjhVVCsdRaLabXlcgUrDhXYzdZuNsWAZ2FmP0nr0+bGHET2vY9UA58XoqJwwjGvSxJhXHtt0wg6Df4PAZIzlgaiW1TWmaWrM0xt2qhuOHFzC6MkptU5o/P7OMv7/8OaceOSmfTAiu6kV3GIZGKmvTmotNbku8TKTtnAd6gKYAbcv10EkrH3rRHW48sq/DZ3BL8+IL4NSvyld57AohBErTkK2N6MXDts817MAUFhZy5plnMmrUKBYuXMgRRxyBrnvTwZvSppGslY7Jf8YforbW9cQWRgO4yhb9bCRrBloggnJMMAJuCEbR8Pa45C4SVYtjIYJ+neaEScbcMbWSLVuxsSFFVWkYTQiEEIOiiMjm+AwNQxNu8l6uPHUyY3nJe0OAfo2Ov+WWW/jvf//L6aefzje/+U3ee+89brzxxv5sQv8ibTeWLOl6M0WkqNvN23R9hT9CfUuGjXGHcSUCcuWS/T6dqtIwI8ujDC+PoKQgnbWZPjJIwBC8uDRJMitZsGeMH84t4/tzyrjo8FIumB2mJCx48D8tLFvTgqP5+N+aFL979EOWrm7iyH03NZAlhq651eKMAPgCXSdi5YxkskmEpqEpm3DOI5oxHWx7oI1kib2JkVyjVRLduBjDyWCv+R8iXIhW1nuPm65pFJa796pUS1AYDqBrGqWxAOl0x4S6SNDHuGEF7D2pnMNnjOTwGSMZP7wAQ9cYXhbhmFljWVOT4Jk312w12S+dtfl0XTONcfd6QgGd6sY06+qSREK5yn5KYQ7gfVdOFjTNraO7lYIibfHIm4byqHQL+EIIXwCtdEzHxKUt4Q8jE/W91mbeGTnvvPN44YUXOPPMM3nmmWc46qij+NWvfkVNTc1AN23QILMJt4BQLj9E2VlEtIS6uGuAFkb8aLo2MIUswkWu0Z5DKxuDbFrfHsa0WaJq0O8m7zUnTBxHDnyI2zaQtRxqm9KMKItg2ZJI0Nch12Kw4Ora+6goco1kcBOrzR3Ug+/Rc/rVhfvaa6/xyCOP5MXuv/zlL3PMMcdw2WWX9Wcz+g3l2KCEK/8GiK1VEbMyaJFSlBB8sq4ZpWBMZQwzlUTzRxhWGs4XA4kEfQQrdFZVxzE0+Nq+BaRNxe4jAvmpfQCkTTQgOG3ubjz40ir++l6S4s+gMd7CsNIw82eNYcLw9rjPTFZSXtKu2ykixah4DegdY686epJ1DCz8ukDXXMPdGgThFqblIKw0UsGSwtkc1vQw4uNnkbUrMCYf1GWFw55QUFhAJhhDzzTll0VCPsKORibbc4/O1PGl1Danef2DanyGzsF7DOtQuKWhJcPbn9SxamOcmpzYfnlRkG9/ZXd8hk5r0q1u2KZAIoTAtBwYgDg5pZRbAS8QQAmVT5zcInYWsVmVSZlqQYTdZ1EvG4NVvdytxhfsuugCuCoBCpDJJvScWsFQRghBZWUlFRUVfPDBB3z++eecfPLJnH322SxcuHCgmzegKCVRcTfhVsTcZ0Uo0PxhGlo2YOiCgE/D7xuYmU0t0FFfXi8bi/3pv9245IoJrlqRY4HmDiz9Plcrua45A8KVDN3R2FCfxJGKiuIwpi0pGcjE460QCRmUFgYxLUlTaxafoZMdZHJ1Htuffu0NlFJ5AxnA7/d3+LyzoTYJtxDBWIep5S6RDlqkkIzpsLYmgaYJqkZUoRpXMqzY30mOTdc0Sgtc2bVdKruIyVQKzUxhF40mFAxxypxJ/P3lz4knTU748nh2HdNZks5RkoJwe7KYFozhNFd3OvSmRrLQdAyVQtc1wkFXqcEZ6P5aKTKWjbKypJUfFa0gbexOeOOHABij99jmQ2tCoMXKUK31+WVCQFVxkHqzd/qZh+w1glTGduOXP6vngKlVjKmM8ubHtSxd3YSuCUZVRjl4z+E4UvL6B9Ws3NjK+OEFxCIdnydddwcoA4LKyVcJ4c6eSIfu7oDMplCIDtuodBwtZyRrZWMBcOpXY4yc2u2phT+MbKlFi5bkdWSHIn//+9956KGHaGhoYOHChTzyyCOUlJTQ2NjI/Pnzh7yRjHRQrTllizZPslA4mpEvD29LRdFAxcQaAZTuc6sCajpa6Si32U3r0SsmuKFvjpWfffEZGoXRAJ+tiyOdHVMreX29K/lYXhhEqfZS4IORkN+gstjNxVlfn2TC8AJSGavD+9Jj56Nfn8gpU6bws5/9jFNOOQUhBPfffz+TJk3qzyb0L3YGhCv/trWkPeVY4PNjawFq6pKsr0syoiyC0gNEho3D79SgpJEvo9pGQcRPY2s2py/Z0SwRVgonVIwKuhnRAZ/OKUdu+X6ns27SRIdyrL4gStPzHXf+2IbfVe3IJkHTUNIi6NcJ5+TMBlpDUilJ1nQwzDQpFaAgqBEvmUm4cRla4bAuq+y17YftJluqXEXCrjzOWrQUe92H7QaxgpBfUBEL8+nKBiJho2MJ8C0ghGD+l8YyY3IFL7+3npffXQ+439WsaVXsv2sl0bBrDNu25N1P6nlraS3jhxd0OpZP10hmBshI3two3pon2Ux2MmhVugWRU6rQCqvA8CPrV8HWjGRNRyGR6Vb0niTH7qQ888wznHvuuRx66KFomzx7JSUlXHzxxQPYskGCdFz5N81wZ8gcG2EEcJRGPGlSGPXjOP2vbNGGEAItUohKNEEggvAFEZESZPNGdz0CaWfRiQLu770o4kcqRWva3CE9yRtzlfbKioJYlhqU8cht+A2dksIAfkNjXW2CKaOLSKS9MK+dnX4NvLrqqqtoaWlh4cKFfO1rX6OhoYEf//jH/dmE/sXKaSSnmrYaaqGsDFlfMZ9viNPUmqW6KcWYqhi2o4iUlCJKR6Gyra4RtwmacL3J6exmHaRjgdCQscoeNTWZttGExuiKjlPbbsdd7F7LZohNSlMjJSG/RjBgkM46Ax5u4dgOjlRIM0NSBSiN6qhAlMCs0/Dv/ZUu91FWxlXr8PkRhVVohRWoTLzTPQcQ0TK3LLLppsWLXDGAkRUxRlZEyWRlvipTT6gqDXPi4btw5rwpLJg1lu99bTqH7TMybyCDm7C39+Rylq9tdsvRboauC7KWgxyIkuDSySd5CqF1iK3sCpVNdQjhUXYWrAwiJ3HletJG4/QkLhkQmi9fiGSoMn36dA4//PAOBvK1114LwNe+9rWBatbgQTodlS0cCxEI4ziSeNKkOBrIF/cZKLRgQb6oCIBWVJWvDLq5woWmCUoL3fCEluSOp3AhpaK2KU0s7MPQNAL+LRevGgz4fBq6pjGiPMLa2iSGrpHOOgNeOMujb+nXIXM0GuWGG27oz1MOKMo23VjNdLyTJ1k5NspKIXCnp1OmZG1G4gtCQzyDUjC2KoYQEPTp6L5ScGzXq6AZ7YabUkRDURriAkcqdE3gOBIrkcAsGA2mwtDcEqtdJUQopWhN2RSEfYysiHbZSWmhAuzW+k7T5yIQzhcUEQiChiDk16lJmq7W8gBm/pqWGw8urDRp5acs7CaUdaepqxwLvXQUWocBjUA2V0Mo1sGjrMXKAFyd3kAUci9dTROUFASJhf3UNCVpiptu4GPu7iml0IRA1wX+XKe7KSMrooysiG6xjTMml/PGkmreWlrLnP1G5Y+5vj7JsJIwCoVly373yCjp0G4lax2qg3XaVkk3GSnQfp0q5SpbtMUkA+ilY7BqXkRlEx227RLDl38Whxq/+c1viMfjPP300yQS7QMFy7J4/fXXueKKKwawdYMHJR23HHXxCHeBtMEfJpG2yJgOhTlNcr9vAA21zaXgCofhrP8YZaZdhYtsqsPmVTmd9daUSTpjER3ItvcSy5E0tmYoKwxi2s6gjkcGN8wuHNAZXhbhjQ+rsXJJ0lnLGZSydR7bh375ZhcsWNDt+qeeeqo/mtGvuIlMWZTletQ2l39TZhKteCRaKAaaxoY1LQQDOoahsaq6FU0TDCsJgRB5SS+toMI1QFDo/jD4gsjmjchUM6UFQaob02gC/E6SkhGjMYqHkTFtMqZNImWDgnCoXX83k7UxLUl5cYjKkvCWy7D63XaozRKt8EdQm3jvfDoEAwbJjAXK1QRuq3DX39imBQJ0J4OjF4AC31bbojrFjWsFFYBENtd2MJRFLlxDtTZA2di8kdyGz9AYWR6jqkQipVvGVClXt9q0HUzLoSGexWfIjuEtW6Eg4mfXscX879N6DtlrOLomePq/a3jv03rm7DeK3caWDIiRjHRygwFcfWTZTdiHYyGgwwCqrZCI2KR4iF61C9bHL2Kv+xDfhJndnl5oBtJMubHQW5Ge29nYY489WLJkCZqmUVRUlF+u6zo333zzwDVskCFty00EzQ3ElALdCFBT6xqehRE/PqPzwLU/EZqOFoi5MzG+AFpRldv2lmq0srGobKJDP1xeGELXBPGkRSZrE/XtOPGxpuXQ2JJlzKQYtgPhHaAwRyTko6okhFJuXHJZQRDTM5J3avrlm92pQyq2hLQRgEo1A3TwJCvbRPiCaNFihNCQ0jWeQkG341tV3cqIsggI0aE8qhACfbPS1lrxMJSZIqopSmJ+IppNMFKJUTEKoWn5/S1bUtecpr4lja4LHEcRDfkYXVmQ1zfeEkLT0UIxVCaF8gfbDcVAxFW+wHUi+oQkHDAwLYktZY9DDfqCjJlF6Bp+lUH43XKivkD3Lz8BnVU8hEArqALbdssm58rGinChW/EtkUve0zoayW0YugZbsNlKCoKsrU3QmjSJhnteinW/XSv4aGUjb3zoJvGtrXWTPDc2pNh9bAkZ0+73SlDKyiLaiodoWwm3sK0ORURgUyO5PdZaK6xCKx6BvfJtjPH7b/X+uGWqXd3bocTBBx/MwQcfzOzZs5k+vZviK0OdZJMbO58biAmhwPBT2+Sq1ERCPiKDwdgJF6CaNrhSiIWu/rdsqUYvH+eud6x8ZdVwyEdBxE9zMktmB6u6V9uUxnIkZYVByM2YDnZCAR/lRe47YG1tgqqSMMmMldPX9tgZ6ZceYb/99kMpheM4GIZBIpHgjTfeYNKkSYwdO7Y/mtD/5OTfZJv82yYaycpKY1RMyBubliNdeQQgazpsbEhy4LRhWLYkGureMyA0ww0hqF5OWSSIkhKjbDRiM2+Iz3C1eYtjARrjGQqjgV4ZUlqsHOlsRJopUNJVJsjFJLvGsMKnQSgnh5PJ2m51uR6fYfuSTltuEo6w0AMh10juJtZQKbcy4eZGMriGsgjFkKnmvGEnhIaIliLbFC6E5kr+9YKg32D88AJqGtPUNacJBfROhUAsW2LZEk1zp/sMXWNkeYThZWFee38jhq5x/OzxvP95PbVNKQxDkM7Y0E015z7BMXOzHLj3ohsjWdomm9u7MldIZFMjGcAYNwPz3SeQDavRc4oXW0Kp3AB0iBnJ1113HZdffjm33XZbl+vvuOOOfm7R4ES21gHubIVSEiU00H2uhBoQDfoIBAbeUNP84byDQQSjiGA0n7ynUG4oU85I9ukaRVE/zbnkbTunc78jsL7OnYUsLQxgaGLgiiD1Ar/h5t1UFIVYV5vgS1OraE3tmIVcPHpGvxjJn332Geeccw4//vGPOeCAA/JJJIlEguuvv55Zs2b1RzP6F+mghHILiWh6XutVmWm0YKy9GAeuIYRSOFLyj/+sRikYP6LArT7UAw1G4Q8hSkchG9agl493lSe2QChgMKJ8K/GdXZ0jEEGvnIimFNhZ7OpPXRk46aCsTE7hwSaW81ynMvaAJjSY2SwtCZPhQCAURinwdVd9TNoII7hFb6UbhtHxerRYqRuvDFs1DLeErrmDl4KIn/V1SeJJi0hIx3EUGdMh4DMojgawHYXlSBIpk0jY4Mt7jeCV9zZw9AGjGVYaoboxxZsba9CEIDkQMnC22V5hT2huIZ0tzSSYKTcJaRNUqsWVSdwsVEIfsTsseRZ7xeKtGslCM1BmEsL9PUIYWA444AAA5syZM8AtGdyoRE7+LVwIjo3mc3/vDfEMPkMj4NMIDJBGcgd8AZSmQS6sQhQOyyfvCQTSyqAHcwoXhkZBxM+G+lQ+H2GHMZLr3RyCwkiA2A4QagGu6pBQipEVET5e5Up0pjMWli0HNOHTo+/olx7hxhtv5Hvf+x6HHHIIjzzyCEopnn76aWpqarj44ot3SiNZ5WIyVbIZES5yM/6VAttEKx/bwRizHbc63N9f/pzla1s4bJ8RjCyPkDV7HluqhYvdTt8f7pPraUMIAb5cgkXuXDKTdONQbZOiXPJLOuswUDayIyVSOrQk3EzwUDSMFKB1F5Ps2IhQN4MH3dc5cTFahlq/1PUgazpIa5tDTKIhH7uMLKSxNcPGhhQhv864YQVEQr4OseK1zSlqG9NMHFHIxBHtxmBFcQhHKlqSJkG/gSNlv8ZWKtsE3f3u27SStyQD15aE1GFZuqWTFxlcqUFj9J7YK95CZRKIYHffkYHKDL3kvb333pvm5mYOOeSQgW7KoEa2VT4NFbghC6ESpFI0t2bdfktoPchb6HuE0FyVi2wS/CG0omHYtZ+5MqG6D7IpyIkQGbqgOBogazmksjZ2eMcwNgGqG1OEAwZ+Qx/U+sibommCgN9geGmEd5fXU9+SIegzyJg2vm6cUx47Lv3yZG7cuJFjjjkGgDfffDMvUzRs2LAO2djd8dRTT3H77bdj2zann346J598cof1L7zwArfeeitKKUaOHMnPf/5zCgsHzqPUFqMpN5V/M1OIaEmn6eCWZJYnXl/JmtoE82aOZsaUCtJZu0M88tYQQuSN1v5AGH5EwL0OJ50ArQBsi5IC10OeNu0BK5NqOwohJcmkaySHI2ESgN5dTKu0wdfNNL1u5Ay/dsUOV+FCoZKNaAUVKMTW9YG7QdMEZYUhimMBNCG69GoXRwPUNKQ7KYdUFrttr2lMM6YqhmVLdH//GMlKKZRjIYz27HSB6rI0tVIKZaURgY5SgyodRyvsWq7QGDcD+/P/Yq9+F9/k2VtuiO7rlNg0FJg5c6Y7MOligCaEYOnSpQPQqsGFqzLU7A7O/GFUphXNH8ZxFPGUW0hECDV4vLChAlSqGUHI1QxXCtlSg1Y0DJlN5tMchBCUF7m/u6Z4lsrYjhEbazuS+pYMZUVuEZHeJC8PNNGQQVVpe1zylNFFJFIWMa+oyE5Jv/QIm+p2vvfee+y77775z9lsZ73XzampqeGWW27hwQcf5PHHH+dvf/sbn332WX59IpHgJz/5CXfeeSdPPvkkkydP5tZbb92+F9FbrCxobiERLZe0p6TM/70pz765lrV1CY49aBwzprjlUi1bEh3EPzqh+/NGkcwkXE+qY+ZlfFJZG2eAtJJtRyKkRTpnJLcNSvRuvEQKhfBt+QUjhIYwAh0MPy3aLgMHrmGoujAMe4uuaVsM+/AZOqWFQVKbhVSUFQbRhKCmyc3UN+1+vPfKQaiOahUo0aWR3KWyhVI5T3LXg1otVoZWPg575Ttdala3IYRAKNWt/NzOyLJly1i6dCnLli3r9M8zkHNIB9KtiFCh+5wId6Bv5zSSi6IBUAwaI1kLhPJx+1pRe/Ke0FzlGLWJekxlTgauJZElY+4Y8bGm5dDYmqW8KIQS3eeLDDYiQR/RoEE4YLCuNoHfpxNPDa0+ZyjRL8O3wsJCli1bRiKRoK6uLm8kv/vuu1RWbr3YxRtvvMHMmTPz8kZz5sxh0aJFXHDBBYCrB3rVVVfljzV58uQBl5VTdtadHrMyiJz8W1s29easr08woizC9AntVeAEEPz/7P13mBzXdeeNf26Fzt2Tc0AkMkBEEgxiBpNIkZIoUqJEypIlr3+W5ZX0rh+vFSzLltderWy9r9bSmqZt2VrbyiIpUswBJEgwASCRMwZhcp7p3BXu74/q6ZkBZgaTE+rzPE1iqqurb1dXnzr33HO+Zzb3hNc8iGzahZ2MQUjBNjOEI05aQipjzlhDEdOwELZJJpUED9iq4yQPK3GHc74v1jZc6H5kJpFLFcjJwGVzHZGC6ejHXRjx0t4zOJqsqgrFeT5auxwZwFTGnL52qZbF+bkoUsiho+qWQb9qdJZMIpvucmG6RR/aos1k3vkFdvNx1Irlw+4nBUgrM+KEZ77xxBNPcM899/CjH/1oyOc/85nPTPOIZiG2hZ2K5iZiEgGaTrTHacKRF9LRhtGSnxFUD1LRHDWOQL7T+TTXeS87EcxGXyuyUc3uaJpUZm40FOmMpklnLIrzfAhmtoHLWPF5NFAE1aWh/qYiqYyblzxPmRYn+Stf+Qq/8zu/QywW47/9t/9GIBDgn//5n/mHf/gHfvCDH1z09a2trZSU9EuflZaWsm/fvtzfBQUFbNu2DYBUKsU//uM/8tBDD03+BxkD0kwj+yr2gwUD1BMGn3LblnT0pllWnTdom6oqeGbzD07zQtYRcXKSFbANVCFyXfdmKpKczmQwbIkwUo6TrHnRxPDRWWBYZYtBeAKQ7KVPskPoXoQvnJOBk2JyIskXw+fRiAQ9pNImvgGSVaWFfs61xNA0hUTShPwpH4qDbTpqJ+dtHupc2EMUN+Z+J8NEkgHUihXgDWKeeW9EJ1kIxcl59oWH3We+ceaM05Xw2LFjMzySWYztSDgqkTLnulQ0hKLR0tkNQNjvmR1Fe1mEECj+iNOIyhNAyevvvHe+ikvI7yHs1+noSc2ZSHJ9q5NmWRj24tXVEQMYsw2PrqApjsrQsXPdJFIGINy85HnKtFiF9evX89prr5FKpYhEnGjRhg0b+MUvfjEqCTjbti9Ynh3K4YlGo3zhC19gxYoVfPjDHx7TGIuKxq74UFIy9I1Y2hbJXh+ZVAtpIK+8HD3Pi7Q1/KWDHYHO3iSJlEl1WYSCfCefN5EyKC3xUFo6fGRtpjH9Jhm6aPH4sFIxCguDmAkTrSRIyK9j2ZJQxD/sOZpKovEEKakTUNJIBP5IHhFdoaBg6JxtaVtIfwR/Wf6Ix7UCNim60QL9x7EKyrCTXRQUBDDjBtgWJSVTnwvvD3o5crqT/AFdqhZU5HHgVCehoA9FFdN27q24TSrtH3xeEiae7PkeOI606MYmguLt3zcZTZEC8srKcq8Ziu4lG4gfeZO8gEDxDp0/bhsKig7eGbjuRsNUfCd/9Ed/BMBf//VfA076ma7reL2XTjT9YthmBtIxR9/cMnLXX0u3k5IVDuj4pimHf7QIfwQ71onA0Qw363blmuXITDKn4qJrCgURL+3dSSxbTnvR7nioz8q/5Ye8BOdI0V4fQgjCAT1XB1LfFqe6JEg86eYlz0em7er0eDx4PP0X0MaNG0f92vLycnbt2pX7u62tjdLS0kH7tLa28ru/+7ts3bqVr371q2MeX0dHbEySZSUlYdraokM+J400Vk8Cs9WZ+ccsP3T0IrwBYue95mBdJwABj0JXd5yMYZHKWIS9ecMefzYgUynMniToAexkjK6uBDKVRPh68eoKPbE07e0xIjOQMtLc3EV9R4agSGOrXnp6kwR9Ol1diSH3l2YaoXou+G4u2C/jfK8i3f+zsbx5mB2H6OpKYKeSeMvs3PfWp2YyFUv/UkoyaYMzvUk8moKuK0T8zrk+ea6T/JCXppBnWnIsrVg3sic56LzIdApBJ+XhgkHXsdXSjrRtxADLY7S2AhAzPYhhviMAq3QlHHqdjkO70RYObT+ktJGZNnStdMjnZ5KhbIaiiHFN0IfizJkz/PEf/zEHDx5ECMHGjRv5n//zf1JRUTEpx5/L2NGs/JvfkX/D4wQk2rocJzno12Zd8ZjQfYPzkm0TGWt30vcGdDrVVIWCkJej57qdrp6m7BOambU0dyTw6go+jzonu9VFAp5cHcjZlhiLKyP0xA3Kiy7+Wpe5xeyebma5+uqrefPNN+ns7CSZTPL8889z3XX9Ve6WZfH7v//73HHHHXzta18bdeeyKcM2kTjyb+g+Z1nMMoZUn2jqdCSrivJ8JNMmpiVZWpU37R3TxoyiOnm83qCTboGT56dgE/BpjhyRNTPqFkbGoC0uCSpO9zVbypFTVyxzdF3aVP18qWREsBAySWQm6Sz1WwPSCdJxrO7G8X2IiyCEYEFZmJrSEEG/h4xhE/Q510xrVxIQZIxp6sBlGv2NRHIDVC4ooJNSYhupIeTfep39B2iHD4WSX4kIFmLW7x92HyEUhG059QCXGN/4xje47777eP/999mzZw/btm3j61//+oSO+dBDD/HBD36Qe+65h3vuuYe9e/eyc+dO7r77bm699Va+973v5fY9fPgwH/nIR7jtttv42te+hmnOnqV/mU2JEoE8JDaKx4ctJW3dSby6gkfTZl0+qdA8oHmRltFfvNfdDKqGbaRyaiaaqlCU5yOVsUikjBmrBRktti1p7U5SnO+HUfYCmG34PBqqplBVEqSuqRdNVcgYptPzwGVeMbuswjCUlZXx5S9/mYcffph7772Xu+66i3Xr1vH5z3+e/fv38/LLL3Po0CGee+65nDH/2te+NmPjlZYJ0unwpIQKnW1yaPWEpvY4QoBXU9BVlaVVeQR8s9xBBkfNQjpd96xUNqohndSFoE8nkZqZwj3TssHO0BaX5GsZpObDth1ViOGQtoXw+IZ9vg+hakhFHaSwIPq+33hXtqFIv2NgJ3uRySjSnprz4NFVCsI+akpDzsTKp+HzqLR0JbPFk9PlJKf7G4n0IZwq/EHYJmIIeTaZ7EEE8i4q2yaEQK1Zi91Wl+vQNxRS4DQ3ucTo7e3l/vvvR9d1PB4PDz30EO3t7eM+npSS06dP88QTT+Qey5cv56tf/So//OEPefrppzlw4ACvvvoqAH/8x3/Mn/3Zn/Hcc88hpeTnP//5ZH20CZNzkv0RhAQ0nXTGoidukB/yoojZo2wxEOHPc1ajQkWgaNjdTc5EUNpO4CVLeVbhoiuawTBnd3tqw7RzyhbA7K69GYa+vOQllRGaOhLEk/15yS7zizmzznH33Xdz9913D9r26KOPArB27VqOHDkyE8MaEmkajq5lVz3awk2A03V6KPWEls6ko9GpKCysCM9KQz0kiubIpnmD2N31zjbhaOOGAzqpjIVp2sPmj08VpmWjWAZtUZtQIIPUIwgBmjbCGIS4qLJFH4rudSZB2QKNPkk/O96JGip0IphKNmqa6M7ezDKgXNwJnwi6pqJpKiX5flq6EuiaIJ4yKZyOtPaBLan7UJRBN3EAzMzQBX6JoRuJDIVWvRbzyKtYDQdRll417H62kUa9SGR6vlFbW8vevXu5/PLLAUcarra2dtzHO3XqFACf/exn6e7u5v7772fZsmUsWLCAmpoawLHLzz77LEuXLiWVSrF+/XoAPvKRj/D973+fBx98cGIfapKQMSetDV/EWe1RdVLJDL3xDMV5zm9zNtpexRfC7G1DUVSUvLL+9tRSOBPBrB2qLHKu9Z54hvR0rSCNk65oikTKpDjidWzzLDzvF6MvL7m2zEmVOtnYy9KqiJuXPA+ZM07ynMJMOZELy0Qpcm5Sw6kntPUkKYx40VQxp4yFUBQneugNYifjSNt00g3MTM5IpLINRbRp7GJlWpJMOk13UhIMppGaI1Y/0rkVkosrW/Sh+yHZA2S7ywX7Ismd/a2pPTjSf5aJFKpTia5PrZMMTl5lSZ6PA6c70VRBPDU9KQe2aVzYCl0oFyhZSMuZPJ6PTPaiFC8Y1Xsp4WKU/Aqsc/vRh3GShaJDJg4UjuqYc52+4EE8HufBBx9k+fLlKIrCkSNHWLJkybiP29vby1VXXcU3vvENDMPg4Ycf5nOf+9wFSkMtLS0XKBCVlJTQ0tIypvcbb272aIohm80optdPYWEIicRfmkc000U0kWH14iLyC4JUlEdmPlXvPKTlI5FpQgsE6K5cRPzIW+RHPNjeAHqehh5xPvtqXUNVBcmMjT/gnZGC6dFyrNFZBaopz6OiLDJlBepTfQ40r46lKIQCOufa4lxzeTWmbc/Kcz8bxzRTjPVcuE7yVGCmsbqcXFS1qDYrOaQ7QvADd7NsuqJpFpaH8c+yopHRIDRPNgIoHaki3Q9mhkjQcTgTacsphpzGlDPTsumOppCAR6YwNR+aKoat9pZSOsvzo3WSPX5kvCMXDRWaB7whp+WtojirCJ4+WTyna540UjDKSOlECPp0CiJeMoZNLGmiKgqmZU/q5EvaJjKdcD6TomabGxgI5bycbqFckG4hM6kLfgMyk0SmoqOOJAOo1WsxDjyPHW3Pdj08D013WvpeInzjG9+YkuNu2LCBDRs25P6+7777+P73v8+mTZty2/pWikarQDQSYy2ehpELqAeOJdXVAb48ujqjCE+AaGsvR093kjFtPJogGXcKjWcjZtyGRC9WsBIsk466EyjhEoTZhpp2Jt/xlEFRxEdzR4zGll7yZrFixIHjbQBoQpJJZKakQH0018VESWcsenuTLK6IcLiuk95ogljCoDGgz6r89uk4F3OF4c7FSAXUs+ebnEfYRhq7qx4RLED4wk5EeYic19buJKYlyQ9552SFr9A8CJ9zYclEj7PEbjo5fgDJtIk9RORwKkmlDTpjJioWmjSwVB9efQQv3TazVeSju6ErmueC4j0lVOgs5wolVzAm452g+0DRYQiHTaZi2MnJNVw+j5ZbOm7pToKAjDH+fGhpGUgjhUzHsZO9WB1nMRsOY7WdRva2IrsasTrO5nKJpW1iZxurOOfzPN3oAY1Y+jAOvwxSolWtGvW41Oo1AMMW8AlFQ5rGoK5k85mioiKuuOIKgsHgkI/xsmvXLt58883c31JKqqqqaGtry23rUxoqLy8ftL29vf0CBaIZQ1rIVC+KP+JM3Dw+MoYzmQZHqcA7y+TfBiL8YTDTqMXOqqTdcfaCiaCuKhTl++nsTWGa9pgnG9NJY3scj64Q9OkEZrEzfzH68pIXV0RIpE0aOxJImPXpLi5jY/ZahjmKtG2kaWB3nEMpzOYD2uaQyhaN7Y6Ryw95BjWFmDNoHoTXWbqQiW4QKtLqz8lKps1pN9apVIb2hCSkOEv9puod+dxaZk6Uf1SoOuf70yJYgIx3Os6ilEgj7aRbqLpTiZ6+UNbMjnfmmmhMFl5dpTjiOMmtnQmQkDbG5yjKVAyz8QhW03HM1pNYbWeQqRjCG0TxRxDeEMIXRvE5/wYwT7xN6qX/40SZcbrq9TnJUtrYmeSgiL3V1YB56l20xVtQ8itHPTbFH0EpWYR1bt/wbaqldFrDXwJ85zvfAeCLX/ziBY8+DeXxEI1G+c53vkM6nSYWi/HYY4/xla98hbq6Os6cOYNlWTz11FNcd911VFVV4fV62b17N+B0ARyoQDSj2JazWhHIc+QHdR8pw6In5tiIUEDDN4saiZyP8Iac4mJvCBEqwmo/k50IZnK/L11TKMnz0xVNY0k5axUubFvS0pWkNN+PUMSIBdWznb685OoSZyJ6sqEHVRHZ5iIu84XZaxnmKrYJyW7IJFD78pFtC2WInNQ+J7kg7EOfQ/nIOTQvwhcEBHaiG1VRkJkUecGsk5xycpKnEyNj0BGXVAUd59BSfHhHMsT2KOXf+lB1pBzcVlkJFmKl9jqRV4SjakG21bWiOpEsy8gVB0opsZO9CG1y9ZN1TcHv08kPeWjpSqJpgkTKpGCM6WjSMjA7zjgRdlW/oNBuOOyOM2Cb2NF21MLqQW267XiXE7XvizpLG+P9p8AbQl9109gGCGiLryDz9s+wzu5FW7Dhwh3EpVO898gjjwDw8ssvT+pxb7zxRvbu3cu9996Lbds8+OCDbNiwgb/5m7/hi1/8Iul0muuvv57bb78dgO9+97t8/etfJxaLsXr1ah5++OFJHc94kek4GGlHKUI4KjXxeIauWBohIOzz4JvFMmRC9+V+g0rRAqzGQ0hpI/qK9zx+hBCUFwWwJfTEMpiWPfIK2gyRMSzae1KsWVQISDz6HLzvDSAS8NAdTVNZHOBEQw9XrS4jmshQOkJTJJe5heskTza2idXVAIBS5FSAI0BoF+a8NnU4y04BrzqrcphGi1A1UBSUQASZ6HYK96Qk4ncuq0TaZDp9ZCklmYwj/7Y+YkIGpO4bUdlCIlHH4KwKRUHoHqdQUXE+Z3/xXhciUOj8f0AhmyR7M+uLopppR8vXSDk3u4tIn42FoF+jNN9PU0cCXVOIp8YWSZZSYnc1IqQcteJH3+v6rnsZbYPC6lybbmkZjnTVAIfVrNuF3d2EZ/NHx1XUqFasQMmvxDi8HbV6rXMtDuBSK94DOHnyJHv27OG+++7jK1/5Cvv37+fb3/42W7duHfcxv/SlL/GlL31p0LarrrqK3/zmNxfsu2LFCn75y1+O+72mCjvaJ/+W5ziWikZPPMaZpiiVxUFn2XwW21+heZCqBraFWlyLdWYPsrcNvH5n8o0zya8td2bDXdE05izV623rSZE2LEryfaiKMqeK1YfC59FAwJKqPF7f14Rh2ljW3Oh66DI63G9xkpGWiexqAN2PyBYVCRiyMKy1K0lRxIeqKtOqADFZ9BVhaaF8JycZRynCozpL/6mMiTWNy36mJTEyGboSklKfs5Rqq77JU7boe43uz0VIoV8r2Y51IpFIMwWDHG85SOnBTieQQnGui0luehH06VQUBemKpkmmTdKGhTUGnWY73okd786lUIwWmezN5V7bvX25qQJsC7u7GYHMTSpkKopx8CWUksW5/OKxIoRAX30zMtmDeXrXhTtoOnZydhZiTRXf/OY38Xq9bN++nebmZv7qr/5qULOPS5Xc9eiPIIXEkAo98QyNHQmWVuWBEGiz3KFR/BEwMyhFjgqM1XEGIVTkgFSuBRVOm+rueHr6NNLHyOlmJ8WsKM83J+twzsfrUdE1lUXlYaSE081OnUk6MzsnKS5jZ3ZbhjmINDPYXY2oRTXZyKqNFAooFxqE9p4UhWEvPo8666SHRoWiIRCooQInJzmLioXfq5LMWNPagci0bHqyyhZF3qzz6fGPoGxhIxUlpzU6anTfIOWGPq1kGe9EoIBk0Pcpzi/eS/UiVB2JvKAr3UTxezUqszlyZ1tiIOWoi/ekkUZ2NuSKMceCnY0io6jY0T4nWWIlo04Ro6f/mObZvWCm8Vx+55DX/Wi75Skli1GKF2Ic3YE0B+cfC0VDWIajaX2JkE6n+dCHPsTrr7/OHXfcwZVXXolhuPmRMns9Cm8IoflIGzZnm50J1NJqx7EcUUd9FiB8ISdqHMhH+MJO8Z6qD2pPXZznw+9V6Y5mSI2zFmGqOdfqjDc/7CEwD5xkgMKIl6KIH59H5URDL0IIkm5TkXmD6yRPMjLagYx35fSRsUyUIdQTkimTaMKgIDI3lS2AbNc96TjJyV7H6QSEtAn49GxO8vQ5yYZl05WtWM/TnMit7h8hJ9UyUDzBMU9QhO4bpNogPAHQfY6TrGoXdlZUtVzER0rbUbXQPAiE06Z5EvFoKqV5PnRNcZzk89pTpzMWndEL31NKidVZ7xQmnt89bxTY3Y0gFNSyy/qdEqFg9naANvj6t9rqEOGSIeXbpJTIZE+u+G8k+qLJpOOYJ9++8FhCON0ALxEymQzt7e1s376dq6++mvb2dtLpS+fzD4eTbiEQHj9C9xFPGZxp6SXg0ygv8KMqw0tEzhaE7ndqHIRAKV6A3X4GqWjYmWSueNXpwOmlK5qetZHMpvY44YCOrqpz9753HmG/BylgcWWEkw09aKoglrz0On7OV2a3ZZiDWK0nAPqdZNt0GlAAtpQk0yZd0RT765w8ufyg18lrmosoKlKAGioAaSOTUfpkv0I+jUR6eltTG6ZNR28aAYTVDFIo+AIjFFCYGfCNXWRdaJ4LitmUYCF2vAvF67+wIE/RkGbaaU9tpJ18X6FkI0EXKl9MBF1T0HWV6pIgZ1uiaFp/UxHLtjnbGqW1K3nB6+xEFzIdG5vSx8DXdzWg5JWh5FcgE91OUxXVA9IaNGmQtondcRa1ZNEwBzIRnoDz+lGgFtagVizHOPYGMnP+uZTYl4jCBcADDzzAjTfeyKZNm1i6dCn33Xcfn/70p2d6WDOKlNKpEfCHEdjg8dETy3C6OcaSygi2lHjnQvGY5kEqzsqkUlSLTEUh2YMYsBqlawoFYR+dvU7er5xm+c2L0adsUVbgRyDmfNFeHz6Piq4IFlWEiSYMeuIZYglj1p1/l/ExP67SWYTVdhoUNSdpJQeoJ7R1Jzl2rpv61jj1bX3KFh48s7AKeTQIIRCaBzXoLFk6xXsCaRmEAjrJtDmtBSTpjElX3CQ/oKBaaWzVh3cEaScp5ZD61RdF9yIVdXA0OVTopBUMgRDCuZlZBnbaaTICZOXhJr/pRcivU1kcpKUriWU5jUXAaYGeyqbADIzwSzOD3dkwqLBuLEhpY3c1ohRUIcJO1zUZa3eujUDeoH3tzgYngj+ck2wZCH8EoXtH7SjrK28EM415dt+g7UL1QOrSyUt+8MEH2bt3b04S7rHHHuP++++f4VHNMLaJTPUi/I78m63onG2JkUybLK3Ow7TknAhSCCFQfGEwM6jZvGS74wxSkks1EkJQVuAjnjJJZ0wys6x4L5U26YymKS3wg2DO3vfORwhBQcRLZbFjP083R7HHkObmMruZ/dZhDiFtG7vznOMs9FXbS+E0oABiiQwBn5PoH004s//8kHdOKlv0IVQdNeB0S5OJboiUgJEmnHWSDXP6ZtPpjEVHzKI4rCOMJLbmxTNCrqFAwvmpEaNACAUlWICMd0HWsRTBAmTDwcHNMwYgpXBuZsneXA60UDSknRiklDEZBHwaFUXOuBo7ElQUBujsTdHekyQc0IklTQzTRs02ULB7mh1HfpxjkLEOMNMoBVUoWSfZ7m0bUvvYbqsDQC1eOPSxLBPFF3K6GHacubDd9RAoeeWIvHKs+v3oSwcoOag6djo+nQ0fZ4RHH32Uz3/+83z7298e8vmvf/3r0zyiWYRlIJNRlIIqAFKWQl2TUzy2pDKCZUm8s1j+bRC+sNPZNFICug+r/Sxq2VJkJpnr6FlR6Pzuu6IZ0oY1q2Tg6tvj2LakKM9HwKuizMU6nGGIBDyEfDqFES+nGntZuaDAOf9z5dpyGZa5653NQmQmiextRSmsyW0TAqfS3pYkUmZOaaGjJ0V+yIOmzU35txyaBzWbsiCTPU6BopkmEvBiS4gm0xjm9FRaJ5Ip2hOSkrCKMFPYmn9YZQtpm0jVMyaZs4Eo/ghS9n8uJVgIUmLFuobcXygCmUk4kWO13/ETMCXFe+WFARRFOHnJQtDQHifg03K5wX1RJjsVxY53gmf8esJ2tgW7UlDpKH0IZUDx3mCstjqU/Irh0zqEk86i+COgekZdeKdVr8Xuash1/ANHfUVYmVEXAs5VIhHHQcrPzx/ycSljG5lcIxGBIGk4kb6q4iABn44t5ZyJaCoeP0JmJ+lFtY4uuTq4KLi61CmQ7Y6lSCRn13V/psVRfigIewn6x2d3Zys+r4aqCBaVRzjdHEVR3Lzk+YIbSZ5E7O5GkDZKXjmQdcSyuafpjIXEaQSWzpi0dScpjDgtk+f0jFrzgjDAG8SOdzvqBkaaSNBxnFNpm65oesrF1W1b0tmdwLKhJKwh2pPgCQ9fkGMaKP6xqzjk8AQAJadz3KeVbPZ2QHCIz6rojkyelIOK2Jzl0sy4c4GHHJqmoquCyqIAZ1ujXLOmAqHI3IRBCCfqLtW4071rHMWLA7G7GpyCv3CJcy5CRbnivYE4aR3n0JaOoNsrcYoaFQUlr9RJA8lGyUZCrV6DcfAFrPoDKCuu7z+cOE+jeh7y6quvUltbyx/+4R/O9FBmHTLeCbaF8Dnyb03daZo7E1y/3lnlEIi508hJ9yKdNpaoRbUYzcecrnuWgZLNf60oCiCAnrhBb8KgvGhGRzyI+tYYinDqcAK++fV7VIQgP+yjujTI7mNttHYl0VSF0fcRdZmtzBHrMDewu5sAUEKOZZKZBEp+OUIoHK/v5h+eOMi3f7yb7/zkfVq6khSGvfjn+HKM0DzOxCCQj0x2O8oIlkE421DElpK27uSUq1wkMyadvY4iQklYQxipETvpScuAMWoBD0QoCkowH7IqDEpogJM8FKqGNNIXOKNCUZ3l0klE1xR0TaGmNERjewJNE4PyLnVFkOxqwWo5gZhANL0Pu6sBJb8y1xRFCZcM0EoesF/nOecGP0w+srStrLqGM1YlkAdCGTaFZSBKIA+laAHmuf2DCmamQkFktrFlyxb+4i/+gjvuuIN///d/Jxa7dPKwL4bdWQ+ACORhCw9HzzmpFkurIpiWja4rs7rb3kD60rwwUjm9ZLvjHELaOb11v1cnEvTQHUuPWSN9qmlsj1OU5/QFGLEL6hwlEvRQURRCCCdqbpgW5ixtD+4yelwneRKxuxwnWYSKnBu7UJwbPbDnWDtpw+K6yyu4dUs1H7pmIVtWls59GZysXJgI5CHj3c6/hSAv4FxaqYzTmro3PnVLT8m0yemmKL0J5z2KQyrCTKJ6h49eCxiyVfhYEIG8/nQAbwhUHTPqOMkykyS1418xz77v7KuoTkTzfOULta8z3OSSH/ZSVhjAtiUNbQOcJmnjTbZgdtSDNzSqnN+RkLaJ3dOcy/kEEJESZLzrgjQHq63O+U30Kb+cj2WgDCgeFIqGEikGY3STCLVmLTLWjuxpHrBRn/fFe5/5zGd45pln+Na3vsX777/Ptm3b+PM//3OOHz8+00ObceyOM4AzccsoHk439RLwalQWB0mlLYojF8pzzmaUQD7SNlEKKkDRsDvOIsGxLYCmCooiXtq6nd/MbJGCs2yb1u4kpQV+hAB9nihbDCTg1Qh4VSqLgtQ19oJk1jZ1cRk98+9KnUHs3mbH8dC9ThQ5Up6LitU19VBeGOCGDVVsXV3O+suK8Xk0PHMkijEcQtGQSIQ/39G3lTYSSZ7P+VzxlEnAq9HSlcSeAkmcdMairqkXTRN0RdOEvAK/ZqPYJuowag1SSufGMoZ21EMhPAEQIptyIRDBAqzedqS0Se/6FXb7aYxDL+cioSJUeKFTqvZpnU7uuQkHPJQXOpOEs639TqJI9aCnujDUoJOKMEFkTyvYFkpB/8KiU7wnnYK+AdhtdU5R63Dn3TLgvImN4s+DUUbDtMpVIBTM+v39G7PFe5cCV1xxBd/97nd55plnWLRoEX/yJ3/Cww8/PNPDmjGktLGy6TrC4yNhqZxpibK4KoIQAhtJKDDHlv09ARAKIFAKq5ziVhTsjLNaIoSgpixMW3eKVNokNUuaWnRHM0QTBsV5PgJefW6nGA6DogjyQ15qy0I0tMcxTJv4LMsLdxk7rpM8icjeVpRQYU7cXQnmA5BImTS2J6gtu1CTd87kww2HoiIQiGA+2JZTRCIhz+cYwUTKRNMUMoY16QYjY1icauxBUZw22G09aUpCipNqASi+YdItLMNpLDDBBgJCUR0nLqvFqwQLMaOdGIdexm45gVq1GpnsxWo87OwvLnw/IRSELSe9PbXfo+H3apQW+LNNRRzliK7mZjKa49xPRjdEq9vptDcwkpxTuBiQlyyNlCMTN5z0G1lJvvOj+7oPqeqOlOJFEN4AStlSrPoDud+gUFSEbc774r2BeDweAoEAwWCQrq6hC0kvCSwD2duCkl+JtG1OtGRIpi2WVuVhmDY+XZsT8m8DcdK8CnMpF3Z3s3Otp6O5fZbX5APQ2BGfNU5aXzvqwrCPoG9unfOxkBfyUFUSREpo7krQGU25eslznDnuoc0epJTYsQ5HJzYdR4mU5GTgTjR0Y9mSBWXn5cBK5rayBeTSLRS/k1ZiJ7oRioJHMdE1JWekvbo6ZBOLidDSmcDG0TmVUtIeNSkOq7nlec03TLqFZSD8Y28iMhQimJ9zwESwELOnFfPY66gLN+LZ8lFn24k3B799+2kSv/0OdjYtQIrBTrK0zAkZVmmbyJ5G8n2CquIg51pj/PSl4/yvn+7j+6/G2XE8hZRgTlCeT0qJ3VEPngAikJ/bLkJFgBiUl2y1nwHk8E1E6FOC8Zy3TeTyMEeDVr0Wmex12vbmxilyE5n5zO7du/nTP/1TbrjhBt544w2++MUv8uSTT870sGYMmehxup8WVGJLyZFGp9nMksoIqbRFYWRiK0kzhRLIQ0oLtagWkNi9LdgDmhItq85DVxUa2uJEZ42T7DjxhREfgXnsJAd8GlVFQXRN4UxzFMOUbsrFHGf+Xq3TjEz2OLP7UBESULNqBwBHznYDTuVxMm2iKAIBqKoYVqJsriAU1fFuAn0NRXogXAKZFH6vRqzPSfao9MYzJNPmpORhG6ZFV8zRYwaIJQ3SpqQkrCEzTtRCGUbWTNoWimdy1Db6Uy4kIlQAUqIUVuNZdydCKGhLrsTY9wxW5znUwhpkJklm168hk8A8tx9PVgnFNtIongB2vDPbva4cNVI65vFIKbG7GrGj7eThp7Y0yHvH22nvTrG6XOF0J5xozbB1sY+0aRFkbMvNdk8zZt1u7J5mJ1JspFDKlw3K6xSq5jRXGRBJtttOgaINkkccPG47pwRzPoo/jBltvaDL4VCoFctB1bHO7c9pMQsBdiaF6puAmsks5tFHH+VXv/oVyWSSj33sYzz11FOUlo792plvmG2nAVDyK8mYFnUtaSqKAgT9Or0Jg3BgYvn4M4bHD0JF5FcCArvjHGqkDDubl+zz6lSWBDndHMWyJYZpoc9goZyUkvq2GF5dJRzQ5ozk3nhQFYWCiI+akiCnGnu5bl0V0WRm7tceXcK439wkYXc5y87CF0EJFgzKPT1R30NRxIcQCiG/jmVJMqZNfmiOGunzELoX0aeVnOh22lWbaaqKg5xs7M2J2ivCaZE8GQajJ5Zx0jyyzllbNkpdEtZz7YmHk1UTgkGtkieCUDUUbxBpZlBLl6ItXIdccUtuFUFbsB7j8MuYJ95C2VJN5v2nkKkYIlSE1XQE1mxDKDqkotjJbuxk1GnL3NWEpXkv6Fh3Mexoh9MeO1iIJ97LsrDBn35yA95MF0q8jRdOSN44nsCSTgcsRhlQtzrOYRzbgd18DFQdJb8SrXoNIlKKWr78gv2VcHEu3cLqOIt5ejdq6ZL+JjsXvIHp6MAOlavo8edULoQy8g1WaB7U8mWYjYfR138w2/7bk12OLh7dh51j7Nixgy996Uts27YNVZ2/DshYsVtPAiDyK+nujNPUmeSatRVkDIugV51VjTbGghAKSrgIGW1HyS93Ou8t2ozMrpbomkJtaZAd+5qJJw1SmZl1kg3TpqEtTkVRAEVR8Mz11dOLkB/2UlMa5tTeRlKmSWdvmpK8YWyby6zHdZInib6GCgQiuS5sAKZlc641yqqFhQgBlcXB4bV75yiKx49QYk7+aJ+TnI5z3bpyDp/pYvfRNq5eU45HV+iJZSjOm5gmsC0lrd1JAr5+w9/e7TjGxWEN0ZZdmj/PSZa2BUYSqWiDGnpMmGABsuMcSrCAgps+RVdX/9Kn0LxoCzZinnwL89jrWA0H0VfdBLoPY+/T2NE2RLDASdXRfLm0FekLIttPI8svc6LVo0CmYsiu+pyusB6MEOxsxIi2oJo92LqfRcUmO44laOgyWVA0UK9ZYnecwe44i9VZ70hnGUlHt5hsWobHj77yRrTFV1xU11mES5DNx8l0NJB+8z8RvgiejXcP/wLLyK1GXHAs4eRhDuxwOBJq1SqshoPY7Wec9A7NKd5TztOoni/8+Mc/nukhzErsjrOIQD5C83CgOYqUsKQqQjpjUVUyt1cVFH8eVk+rI3tYtwtsKyt16HOc5PII7Gumvi3GoorIjEbNmzrjtPekWLukkKBPn5e/wYEEvBoLKsKwF46d62bNwiLShjXn8t9dHOaXtzaD2D3NTqcxT5jeFLmc0rqmXtKGTVVJkJBfn3cOMoDiDzp5voF8JydZKAgpWVwepLYsxFsHWzBNG11TSKTNCWtHxpIGpmWjDkhVae9O4NMg7FNQzGyld9aRk5aBnepFGklEqAitdPGkGmrFGxwxFUBbfAVIMA69hFJUi7bs2lz01Wo66kidBQsRA5QdhKKB7sdsq0OaF5fPk2YGs/00eIODCgRDBYUQbXXcXKFQU6ijCjjTaWJbMqejah7bQXrHvzpqHPEu1PJlaJddi7b8A2jLr0Nf/0H8t30JfcX1o2p8ooRLQNq0P/0IQtXwXvMQYgRdaimtEY97fofDkVDLloKqDSqYdLRk3Q5YlxJWV4OTj2yZHGk18eoKVcXOJCs811Qtzidb0KoUVINtYsc6sBP9xXuXVebh1RUa2uMz3vntvePtACwsCxP0z39HUVMVFpWHqSwOsOdoGyCJJWZHbrjL2Jl/HtsMYXc3IwL5JDM2J1tSNHUknGKRbD5yWX6AvOD8SK84H8UTQJLV8Ez0ZLcKPIrkihVlxJIG759odxxTOfFChvbu5AVLpe09KYpDCkiBYiWdgsJstFgaSdSCKrSqVaj5FYgJ6iOfj9A8TjesYRQUlGABavVq0L14Nn3YiYwG8lDyK7Eaj4x4XCFFLpVnJOxoGwIuaAzi92oY3ggym5/t0QRVhTqn25wbp2nZmE1HMA69jFq9Bv8H/wT/LV/Au+lePKtvxrPqJjyrbkJftGV46bahPnOkJPshBN6rH3KK70ZAZD/vsAzocHgxhOZFLV2K1Xgot7+E3HK0y/zHjndBsheloIp0Kkldu8miygiWLQn69RlNP5gMhBAo4SKUvKySTE8TVrwXmZ30FkS8VJWEONsSI5G2sO2ZU1g4WNdJfshLXtBLwDu2yYm0TGQm4XQWHMVvf7aQH/axdnERHb1pWrqSdPS6tmeu4jrJk4Td24oIFRI3IBzy0d6T4lxLjGNnu4gEdCIhz7yt6lV0j9NuOZCHTHQ7OsRComBRXRKkqiTIzgPN2LZEUSfW0z6VMYknDbwD9KV7YmmaulKUhFVM08IfrUeEi3PRYgEIb2hICbbJQgSLRlRg8Gy8F/+2PxrkLKoVy7G76pGp6LCvE94AMtmLHEHrV5oZZLQj60gORtdUNEUMukkuKtZp7DZJGTZmdyuZXb9Gya/As/GeSWuPLSJlqAs2UHzrZ1HyykbcV0qJlIyYAnN+h8OLoVatQqZi/R3XxOR3NnSZvVjZfGSloIpTLSmiKUf6LZ2xKIxM7iR5plB8YUfKMlSE3XEOiZ1T9vF7NWpKQ3RF0/TGM6SNmVFYSKQNTjdHWVaTh1DEmPKRpZHGaj2B2XICq+kIZv0BzJaTo1pZm2mCPo1l1fn4vSrvn2gnbc4ezWqXseE6yZOAtG1krAMRyCdue/DoCpGgTk8sTV1zlJrSEKoi5myhyMUQqo7QPU4urGVAJuEU1dkWQhFcu66C7liGA3WdeHWVntj4l566omkUpT+5IZrI8OPnjiGkZOuSIKK3ETXWgrZwMzBANWGCneUuhuILksvdHQKhaojz8mnVyhUAmE1HRz645sXqbhpWFs6OdoCiDKPDLIgEvSRSJqblvH5RsQcJtHZGkbt/AaqOZ+vHJ9yeetD7KirejffgKV1w8Z0twyn+vEgqkgjkOXrLyV7slPMYrmW1Wr4MFBWr4VB2g1Mc6XJpYLXVAWAEitjf5NibxRURBIKQf46nWvSh+5CKjlJYk5U8VLCz3SU1VWHlgnwAzrXGiKdmZrl//8lOLEuypDKCrimjljyV6Thmy3GQoPgiTkG8LwJG2nGUZ/mEV1MV8kNe1iwq5MiZbpJJM6f05DK3cJ3kSUDG2kHamJ4I+5osGtqdqJ9h2yRSJpUlQfJDnnldsCC8wVzOqUz0gFBR7TQgWVadR2mBn9f3NaEqgrRhkhlHZMMwLTp6Ujl1jFjS4P8+d4x40uChzT7K8z0EWvaC5kGrWee8yDRQPMGpP/fZG9ZwTttQiHCp06WvafiUCwCh+5DpBDJ9YXtlaWawY+2DoshWVwPWAJ3gwrCXyuIglpFBO/I8a87+lP+R/zO2nv0RItWD98oHcgWD04W0DOxkDzLV6+Qjhy8uWSY8QZTihajFtagli1DCpcNG2G3Vg1K6BKvpsDO5UPVsZ8O5s2TrMn7stjpEsJBoLMOpLpWSfB8+j0okqM952c0+hBAooUKU/AowUtjxbqdwOsvSbCSzqSNOS2ciV38wnew72Y6uKRTn+SnOG7oFuJQSaaSQmSQyHceKd2G1nECongtS44Q3gBAKZssJ5CxvN18Q9rBqYRG2lBw+20VHT3pKus66TC3zc/1/mrG6nCXdc+kQz77fCe93sqginFNxqCgMEpqrmpyjxRuCrAyc3duCGi5CsdKAcw6uXlPO4zvqqGuKUpznI5WxxqyX2dadQiBQFEEybfLvzx+jJ57hkzfUUKu3ITNx/J3HURdu6pd4szPgL5rMTzokTtOLfOx0ktHOPYUQqBUrME+9gzRSI+ZKC92H3dWIKL9sUMTYjnc4knZCQUqJefItjAPPAwLPlQ+gVSxHCEHQp6HVv4TdeohUZAEnlEK67CBr115GTVHtBD/92JBSQjqBWlzr3PRGmessFAU11K8/LnU/drR9kDRcKmPS0ZMiY9pUVazAbD6G3d2IWlAFSDAzMMk56S6zD7vjHBTW0Nmd4FynyZaVpWRMm8qS+fXdK/6I4yQDmdYzULAUaWYQmoewX6e6JMSZlhiWZdMVTU9YWWgsSCk5WNfJwvIwqiqIDHEPlLaN3d2IjHUgBznQCuahlzBP70EE8lHyK1EKKlErVzgTekXBaj2JyK9CCRdOaSrdeIkEvZTm+1hYHmbviQ7WX1ZCR0+SkvzJ0eh3mR5m35U1B7G7mgDY0RjAoyncvKmKtu4U7x5pJeDVKIx48M9z+RdF9yLCRYhAPmb9AadxhJWhIOwhkTZZtaAAv1dlz7E2dE2hJz62vLJ0xqK9J0nA7zhDz71zjvbuFA/ctJSFBQIpBHrjfoS00Jdsyb1OSokySXm2F2MsCgx9qBUrwLYwDr9CZt8zpF79Z5Iv/ZDMvmexWk/m2jELzeOkGiR6c6+VloHd2w4eR6c5s+tXGPufQy1fjpJfQeadn2M1H0dKibH3GezGQ+hrbiW57mMcL7qex7tX062XjiuqPyGMFCKQl9UTH59etS0lPUmLqBIh2tNDNJmhqSPO2dYYhmlhWjbJ/MUglFzKhZRu8d6lgBXtQKaipANlvHpaYtmSlbX5KNnJ4rxC90GoGBEpI37sXWwpc933dE1lSVWE3niG3qRBS2diwspCY6G+LU5vwmBJZYSw34NupwblE0vLwGqrw453QjadQniCWI1HSL30Q8yT76BWLHdW21pPYOx7htSLP8Co2wWKBt4QdncjVmvdrPxdK4qgvCjA6kWF9MQztHTGaepIkEy7uclziXlmMWYGu7sJqXnZ06pz+WVFXLO2gitXlrH3ZAceXcHv1ed+++mLoXmdyGj1Gszjb0AmCdKmOM9HZ28a1StYt6SYd4+0ctuWGqLxNFKOPg2iuSuBpjrNQ47Xd7PvZAcfuLyCxZURRNdppKLibd6LVbDAkR/LIWCSGodcFN2PyDgKDKONbChFNQhfCPPk206TjrxyhDeEWfcu5sm3QPPi2XgPWtUqhCeA3XkW2duKUBRkNgdaJqOk3/wPZG8b+qqb0ZZdC0aK1Bs/Jv32Tx3d4HP70S67Gv2yqylIm1TnJ5FAY49FQShJZXEQZYIpKVLayESvk58+graztNKokfFHr5Npk4a2OImUgSI9eLvj2LpAVRVCWYkp1ZJ0Jm0qShY5Kherb0YomrNEO8YGLS5zC6vJkf47Gg3x7jmTLStKKc73E/Z75p0EpxACNVyEtuByjP3Po/S2QDAPgvkAbF1dzmvvN/H0m2e5/8YldMemL5q851grALVlYYr8NlZLHSDA40cE8pHxDrBMsG3Mul3YrSex2uvASKMUL8Sz7naUbEdSKSUy1kFm728x3n8Kq+Egng0fQgkWIDNJrOZjiMJq1Iuo6Ew3eUEvy2vzefX9Rl55r5FP3LKU+rYYSyrzBtXWzDZkKoZtplF8oXEHMuYLrpM8TuxMKrfMa/e20CsimLZg03LHQdM0hU3LS4gnTPJD8/8iE4rqSG9VrsY89jpmw0G0qpV4FUlxnp+uaJqNy4p5+1AL+051sG5JMamMNarue4mUSU80TTiok85Y/HbnGUryfXxgXQVIG2Ek0XoaUDNR5Orbcq+TlunIqCnTc5kLRUEN5iM7zzqRDqE4UnSKCoqWmxBIKUHaIJxiO+91v+sUr4WLc861NDNYbacwj+4g8+4vQbkfrWKFcyzbzko9SWQ6QWbnvyPNDN6rP+loBAN4/PiufojU6//mtGiuvRx99TYAfB6VmkIdTYH6bpPFRSa9sTT54YktRctU1OkEFu8adqIgzTTCExxSieNi2LaktStBa3fSKY4NeQAPiixFSfUgBxxTVQWpjMSqWIvY+zjW2b2o1WuGzOt2mV+Yp99DCoVfnQpTHPFwy+Yqkmmb/PD8tMOKP4xavhzz6A6sM++j5Feg2DZCUSjLD3Dzpiqe3HmG9060o+sq+SHvlOdlW7bN7qNtlBX4CflUfMkW0HyIrFSm7GlGKjrWuQMYB18A20IE8lArV6NVrkQpWzq41b0QiHAx3msexjq9m8yB50m9+PdoCzehXXYNwhdCtp/BQqBmJwizAUURVJeE2La5mideP81vXj/NXVcvoL0nSWnB7Eu7kGYGu6cJGe9GZlP48PgR2S7CQiigKM53Oc8mnMPhOsnjQEpJquEYZlcUofuxu5s5nSqhqtBDfshDb6KvZbKzLBz0zZNq6osgvCEU20JEyrDO7UOtWgWWQXGej/aeJEURH7VlId471s66xUUk0uZFnWQpJc2dcTy6ghCCF3fVE00a3HfjEsfQm2mQEk/T+5ieMN6KAS2SzQximg2mp6gKNa0jLdPJfzXTSCPtOGdSIgWAcJxd0wB/ZEgNYaF50CpWoBYvJP3G/yXzzi8QV34ctfwyyN7grPbTpN/6CUL14LvuM7moS+4Y3gC+ax/Gaj6GWrMud9NRhKC0wE9VvsbRpjQ3Lg/S1pPC79Pw6uMzCTKTRHj8KAVV2IqGjHWA78LmIdJIoZYsGnMhpWXbnGuJ0ZvIEA4M7tplBwpRkp1OPsWA7R5doUNfTGlhDZmDL+KvXIm0MqNqbz1ozJaJ3d2Mklc6spazy4xjtZ3GOvMeh8Rl9GQ0PrttMaqioCn2vJXgRPeDx0/gss3ED72eXUlKgjeI16OyamERpxp7eWNfMzUlQcoK/FMaTTYtm1+/dor6tjhXrymjSE9AshfbyqCEipxCZDNDZvevsZuPoZYvQ19zKyJUNOh37djQlPO7VjRQdYSqoS3ajFK2FOPIq5h1uzDrdqEuWI++/DroOIMtBBCess83ViJBD8tqCrhjq8Vv3zzL9vcauWlDFSG/TmAKfIO+IMxobJy0LTAzzsQlk8DudZqf2D2tKP4IRErAMpHdTU7RYd/Xo+jOZCwQmZX54JPJPLUa04BtIbxhp7o+FeVcegmbLy8iY9gsrnSWcxNpA8Ow8Xnnp/Tb+QhfEDvWgVazFuPgi9jxLqRl4vGqlOb7ae9JsXFZCY/vqKO5K4mmKRSEvMMuO5mWTWtXkmjSIC/o4VRjL7uPtbF1dRnV2baywkyjdZ9B7z5Lb+0HCA/I/ZbSRBlFG+PJRGi6Y1zOQ0oJtgVCIBTVaQPdWe90KPQNb9CF7sN79adyqRPaoi1OJXg6lq3gL8B79adQAvlDv94bRFuw4YLtIb/OlYt8/GJPjJ+928P9myI0dyapKQ2ijNHoSdtE2qbTyVBRUCLFmPEO5/MO3M8yQPUghnCeR6KvtXs8aRIZqiGP5sX25qNkerH0AD0Jm5DPkZuKJ03sVbfC6/+McXg72rKrnYnVaFt92zZ251nseDdYGZSShfP+pjCXSb39M0xUftKxjhtWRqgsDtEbz1Ca759wOtFspU/lwr94PfGDO7Dq96GWLUbN2r6CiIdr11VwpiXGC7vqKcrzEfTpo1rFGy22LbGlxDBt/u2ZI7xzpJWl1XlsWJxHKFpHZs8vkUmn0ZTwR7IOcBp93e1oi6/sX2WzTWfCjQTNgwiXOAGFTMJRv0jGQVER/gjejfdgr7jeWbk88x5W4xE86+4ABFZxOLtYN/RvVUob0gnsdGxCtRGjQRGC8kI/6Uw+1683efX9RkJ+HV1Xuaw6b0yNbaSUgycS0s4WW9hgpB15zHgXINGKFw5ra6VtYUfbsXvbENm+BkiwWk5gHtuBjHc5O2oelIJqxIAUNaF5UcqXIc000htAiZQhVGcSg6rNO/voOsnjwDj2Oj1n38UqXpbTvu0mj5UVjtRZnw7nvNHjHCVC8yJw8pKNgy9iNx1FVq4CoCjPcZJX1Obj86jsPdFOWUGArliaoiHE/WNJg3OtUSxLEvZr7DrSynPvnKMo4uXGDZX975nsxnf6DQxfAcrCKwYv0cGkd9cbL0IIULVBfysFFU43qYspW2RTJ9Jv/gfmqbedxii+MGr1Gjxrbxsx/3c4VEVh/cIwcUPy231xntwX44OrdE7Xp/D6/Ph9Gj6Pht+jjhj1lbaFTMdQihbkFEVENrfa7mpkYERHZpIohVVjMqIZw+JsS4x0xiIU0ImnDFo6k7R0JYgOaPVqmSZt7WmaeuKkTcj3K9y3JY+ykEK3UkDxos2Yp95GqViGnV+JovsvvNlkko6Rz94wpZTYPU3YyRhKsBA72Qu9bagXaY7iMjOY9QexGw/zbHIDJYVBrl5bQW/cID/kpaRg+lQdZgLFn4dGFKV8GebZ/WjLrkXNriwVR/wkUxa3bKri8ddP8+KuejRVZUVtwYRqZTKGRWc0RUdvGsMw6ezNsPNgM6cae7liZSk3rq9E6ziBOPobZCaBZ8OHkOk4drQNjBT6yhtzyhzSSCPNFKgeJ0LpC/crFA1AmhnsaBsy2o7MOsue9XehLb6CzO7HyOz6FWr1GqKyl0zcBE1H8QQQ/jB4gwjNi0x0YTYdQ0ZbEZoPpfwy1OIFKMHCC2xdLjVO2oNS5sZKJOihIOxl/dIieuMZ3jzYgmlJPJrC4mx+spTSWXk0M47jm/vMTu8BaSSQxoCC92wHW4RAILEtE9nTih1tRQmXYFomSkE1srjfUZZSOo50VyMy3olMx5CJHmS8C6v5mNPvIa8czxUfA8vE7jyH1VmPjLbl3lNmEnDyLUSwELVmLUp+BSJciqJpSIQTmPJHnP/r3jnvNM8ZJ/nJJ5/k//yf/4Npmnz605/mk5/85KDnDx8+zNe+9jXi8TibN2/mW9/6Fpo2RR/PMkk1HEfW7cttyi/Kx+v1UpI/v43xiGheJBLhz0MpWoDVeBi5zskR1jWF8sIADR1xLl9SxLtH27h1czXNHQnygp5cjpyUkpbOBC3dSQJeFSHg16/Vceh0F0sqI9z7gUWDZt7+utdQ072k1j1AceFAYzA9TUQmglA01OIFmM3HHedshNxp4Q3gvf5zgBzR6EjbAiONlKYzaRkiQtKXbhAJ6qyu8GKYNs8fSuLTJFsWePEku9FVgdD8BAMeivN8+AZF6PuMeRoUFSW/6oJIthIsxO5tc7SJUzFn+U/3XrCfLSWWZWPZTtc9KSW2hHjSoCeeIZ0x6Y5lON7QzYFTnXTH+m8SA2/wihAU5/tYt8BHiZ7mzbMW/7Kji5tWBllf5UGpuJJw/QEyB7dj+QrQeltRw6UoXj92Ou40ZLEMZ2IVyEMJF2On41idjdjtdVi2jVp7ObK7GekNjjka7jK1SGnTtf3/krQDnPCu5uNXFhI1NUoKfJQXBeZtFLkP4fGj+cpRq9dgNx/Dqj+AEilFjZSiKIKa0hBSStp7Ury+v5n2nhT337iUDctKxnRupJQk0yZt3UkO1nVyvKGH5o4EbT0pbFsiBNx+ZQ1rFuRBVz0lJ36DjHXgverB/nqJgccz006QwBtELViE8I3cGVVoHtSCKmS42ImExrqQ2AhvEM8HPoN1fCfG0VfprD8w9AFU3Wl4NZBDL6NWrkRdsN4JeiV7kalY1lm1HIUkVYdwCWpRNSJQ4ERO+z6DbSONJKRjyEwKoeige5xcXs3rNJJSVKryVbxScv1SHW9GY/eRRtLRbj52VSmlngRWRz3EO7Mrbl4ntUvVssWNJjJrn5DSKdq2DKSRAiOFTEaxuxsHrd6J/Aq0RVtIByRWzEAmo1jRNuymY45yUldD/zlQNJS8MvQrH0CtWNE/Gai9/MLvzEhjNR7CPPM+5pFX+98vWOjU1fhCTt8EXwQRLEAtqEKES1B8Aae4fY79FoUcro3XLKKlpYVPfOIT/PrXv8bj8fDxj3+cv/u7v2Pp0v4f3V133cW3v/1t1q9fz1e/+lXWrFnDgw8+OOr36OiIjbq//a9ePckzb9ZRq7WzRq8nrKQIXn4razevJzzf9ZCHoKQkTFub083MbD4OgHV2L5n3n8J73WfRl27NFrIJGtpinGjs5cfPHqWswM+2zTWsWlRAeaETkW/ujHH4dDcdvSnOtcY41dhLIm1y08Yqrl5TPjhS3NNIwWvfwSxZQfjqjw0y9tJIOwa1dNE0nonB52K0WPFuZMeZrE6ocBr3Cen8G2cZTOjDO7xYBtLKICRIRXWWD70B7N5Wx2jrPicCYKScpbWs4RVC0NoVJ5oSvNbg4c2jXYOOXRgQrChVWFYoWFzhI+LT0FUFTVOcqudICcITHHZJ0072EqabzqSOoQXISJ2MJTEMm7RpkTFsTNPCtCXpjE3KMEllLOJJg954hmjCoKUrQXNnEiFgcWWExZURygoClBX4CQ6zUiMyCYz2ep7YF+dgs0VVvkZVgcZa+zDrojtI6XlkfEXY/nw0VUE1EyiZBIptYAeLIVSMGoigdpyCliMI05GXkroPu2YjRtlqrOIlWFIhYytYUmAYFoZp4dMVFteWDFkYNdS1oSiCoqL543BfLJgxEmOxweA4bKGIn5PHG+ja9yrVp3/Db8wPsHHLOjJ5tVSUhinJm3s35fFSXByk+dA+Ui/8AGwT7bJr0FbeiJbnNOqxbJuzLVH2n+zk2XfOIiXcffUCNq8spThv+HSUdMakrSfFmeZeTjdHaelMcqqpl0TKRFMVastClBcGKC8MUFbgI2B0UtR7lFDbAWTbSTyb7kWrXQ8MSDuzTcdGe/2o+ZVOlHcc35O0bcgksmkGnU5Rc6KHgJIkFks572WZzoTeTDt1Kv48RKQUJVSMHe/AOvu+IxM5mkZQQiB8kezncJxXLGNQ5HcQiuakjWi649xmUmBNUlttRXWcTt2H8AZQCqqdiHhhNVbzMYyjryHjXdliSXOwA51Xjla1GqV4gVMT4w0hhOhfUbMtpMjegWT2PtT3PyFyRekyHXfuM70t2D0t2LFOJ63GSA0eqzeIEilDKV6AWr0GrXIVind0AUXbMpA9LVg9LU46X145IliAMo5V4uHuzyPZ4TnhJD/22GO8++67/I//8T8A+MEPfoCUkj/8wz8EoKGhgU9/+tO8+OKLAOzatYvvf//7/PjHPx71e4zFQB8508m7uw/hFTZBv06B16SmpoqapYvH+MnmBwMvPKu7ERnrAiFIPv1dRF9HKE/QaVsdKqTNCHOsW+OZ/TF6MgpXrS7jxg1V7DzQzO5jbfRko4VBn0ZtWZitq8uoKR1wAUuJkUqS9+6j+KLn8G37Iqp/cF6vTEcReRWo4eJpOw8wPicZsvq9fct6AxEC28hAvAOZiucaX/fdT6RQUXxh8IUcPWi9v6tV39Ka7Gl2XhMqQvFHHM1l2wbbwDZNOhKSxo4kvfEMibRJMmORSBnUNfVyuimKLcHvUYj4NUIBnVDAS2lhgOqSENUlQQJeHcOysSzpNPPoTdHWnaKtO0nGksTiaQzTJmPaZEzLcZINC8OyyRjD67YGfRpFeT5W1BawZlEhocAY0pdsC5Ho5P0jTbx9xqQjYWNaNtd5j7BYb6VC7aZEiaIIScz20mUHyUiNCrWLgOJEmiwp2G8u5C1rFRLB9dpeVmnnMKVCtx2k2/bTa/sxBizI9XjLufvTD+HxXmjA57uTPJpgxkiMxQb3tLfR+sv/QYGI4hWO7myjXURq9b34qi6jqqLokkt3KykJ09rcSebwdoz9zyGj7YhQsZP3W7UKxR/B1Px09KQ40dDDkztP09btODMeTaGkwI+mKFi281tOZkziKRPDHPwb9eqO/vKK2gIWlvnxJDvQus7g6z6Fr/cMWrzNySlGoK+5BW3pVZBJgLSRCEclQfdDIM+xR5M0ick5zPFOInqG7p6kkyKhqIB0HEVpZYMQIvuc4kSzMylkZ72z8qh5EKrHcUL71ByMNHa802l6kuzJbtec/GhNd2otNL1ffcgywTbANLIOesY5jh5AeHxYaMSTGc62JzndnqHbDpDW8ykoKaGqNESexyKsmQRUG83rxePzoft8qJqGIgRKX2DCzt4zbCt3/5B9Bcy2xGo+ipZsI2NrTuqD5keULAR/Hpgmtm0537d0nGEbgQjkI/x5oOlgWWAbTvGyBGlLZ3/DwMqkMTNpTNPAtiSWlFi2cI5lptEyMfRMN950N55MF/54E550fyDGVnSnIZSeTReUsr/oEAlSImwDNRPLXk8DvmuhYKtepOZFql5szQuKjlQ1hO4nb+uH0UsWDPkbGauTPCfSLVpbWykp6de+LS0tZd++fcM+X1JSQktLy5SNZ8WCQlYvvJL2hmZkogtppAiXFV78hZcAii+CGe0ACdrSq7FajmO1noIB7YMLgCuBKwNgBDS6z/pJndHZgGCrV8EXVvHqCmpfQd9BG3HAMQDCzCCMOEq2yYa28kYUbyDbDlrmjIa0LNRpaiIyGQyVf9eH6glAMD9rzJOOYVY0ZyluhDw5IQRqIA+ZLSQcFIVXFFC8qJqXUh/4vDpnW2LkS+ks6QnBusXFpAyTuqZeGtsTxJIG0USGho4e9p7svOhnUhWB36uhqQKPpuLRFUI+HU/2+9Wz23RNwaer+DzOI+DTyQt50DVlUIBmoAj/UFN7iczNMaSUSJHHkuUBltd0oKR6SBiS7uTlxCzBfhMyGdNpviA0RDZMst+WeM0oQbObdlFMjACebCrIO8qtnJAdLLFOEpIJ8mSccrsLhX4nIhbUYdaHHaaGnTt3snXrVvLz8wG47bbbePbZZ3PBjMnEHwySKryM+nQCW/GC7sVXuoCypcsoKSuZd3rIo0WoOp7LrkaJlGA1HsM8+SaZnf9OLnYpFIKazuUI1nkFVglY0pkQWpbAtgQSBRsFvALhEyjCcSJUBVQBChIlmUEcSqMcGJC6kK1FUCquQimocoIjmoZMJ1BCRSjB/CnNURWKAr4Qqi+EvzhEvP1CuUcnJjg4ZU3apuMEly7OpmJkV/QAsMB2XqNajrMos+kaos8OK4rzm8+mZkBftLWvGDFbXIeddQQdx8srbXwpA6shQbLNpLlLsu+MhVnXf690SGYfAz4r/YGSgea/zy7K3L+Lso+BxLKP4Wgf4bmxoF7w/mGRZLHWSpnaQ1BJExBp/GJAgxkEEsdZl1JgoNJtL6TbDtJr+/AKk5BIEVZS+EUGv8jgEwY+kUIXcTScaPnZ8Ek23nChkzwe5oSTbNv2eUU2gys8L/b8aBhPNKew2HGMbSON0PQ5n6A+EUpK+iK5YWRVKXY6ib1oCVaixynuMg3sRBQrGcVOxUnHe4l3d6OkY6jdcfym4SgSDKXfqSiAAopAqBpefxBvMIAWKsRXuyq73C9AUZz8L82D0L3o+SVjkvqaLPrPxWQzdbJGJSVhqirzSaUdIyNxjHnGtFlzWSkZ06LP1ktpk0iZdPZmo8WGjaoIVFWgawoFYR95IW82pzx7oxjwXgN/mSJr7fskE0V2iU9RFCfYo4jz9heDbgpi4H8V0BQnHcQ5Tt++C7Asi3QiSTqVxEwmAYlt29kbIAjVWUIUfREZ23K0nvsH6XwOUY2010OfKc/u33dz9KsaZeX5aPrQUcypuzZmnosFMy7G2GxwmPL/8v+QTsTBlkhpo2ga/vCFyjKXEs71FcYuiWAvX4N11W2kzx3G7GnHSjm2F7v/eu27dmVWe132RSb7VBPASdWSWcdSZIuOdY/TZVXzoATz8BRVoxdWZPNvnSirUFUnVzoQGZTDO73nYvazyLK5MW1iWpJEyqC1K0F3NE1PLE0saZA2bDKGRcawsKVE2tKZlvd9hQMiBn32dpD9O88VEojcNrXPxgrnoYg+Bz+7H33+FLl9VCGcSZMqHLuvZP/ObtM0BU1V0LIT1b7ghWVL0hmTTDqDZZnZ60uSljgTseyjv9RE4EESBKoQucvRknLAgqskA2T6rlskmoCt62uH/f7Hel3MCSe5vLycXbt25f5ua2ujtLR00PNtbW25v9vb2wc9PxrGmg93Ydh+kvKM5iDDpxgEBkttDbgHqkDf7Sx/nO9rAefPuQc92ZEY55HHz3jTLWYrKuBXBf7zbnJFQQ81RRdX1Zie8zEgfGJZWNbQuYWa5kELeSA0tR33urpTQOqC7fM93WKiwYqx2mCAkpK87DlVwYRYav789sbKhdeXBuRB9VaodrZMRRhHAunsYxA2zs8glTz/mSlnrtphHagq8FM1iWosc/VcTJShPvN40i3mROjz6quv5s0336Szs5NkMsnzzz/Pddddl3u+qqoKr9fL7t27AXjiiScGPe/i4uLiMrWcH6w4P5jh4uLiMteYE05yWVkZX/7yl3n44Ye59957ueuuu1i3bh2f//zn2b9/PwDf/e53+eu//mtuv/12EokEDz/88AyP2sXFxeXS4WLBDBcXF5e5xpxItwC4++67ufvuuwdte/TRR3P/XrFiBb/85S+ne1guLi4uLgwOZhiGwX333ce6detmelguLi4u42bOOMkuLi4uLrOboYIZLi4uLnMV10nOoiijLzCZyGvmK+656Mc9F4Nxz0c/558L99z0M95z4Z7Dftxz0Y97Lvpxz0U/Q52Lkc7PnGgm4uLi4uLi4uLi4jKdzInCPRcXFxcXFxcXF5fpxHWSXVxcXFxcXFxcXM7DdZJdXFxcXFxcXFxczsN1kl1cXFxcXFxcXFzOw3WSXVxcXFxcXFxcXM7DdZJdXFxcXFxcXFxczsN1kl1cXFxcXFxcXFzOw3WSXVxcXFxcXFxcXM7DdZJdXFxcXFxcXFxczsN1kl1cXFxcXFxcXFzOw3WSXVxcXFxcXFxcXM7DdZJdXFxcXFxcXFxczmNGnORYLMZdd91FfX09ADt37uTuu+/m1ltv5Xvf+15uv8OHD/ORj3yE2267ja997WuYpgnAv/3bv3HLLbfw2c9+lkwmA8DevXv57ne/O/0fxsXFxWUO4tphFxcXl5GZdid57969fOITn+D06dMApFIpvvrVr/LDH/6Qp59+mgMHDvDqq68C8Md//Mf82Z/9Gc899xxSSn7+858DjnF+5plnWLBgATt27ADgkUce4fOf//x0fxwXFxeXOYdrh11cXFwuzrQ7yT//+c/55je/SWlpKQD79u1jwYIF1NTUoGkad999N88++ywNDQ2kUinWr18PwEc+8hGeffZZADRNI5VKkUgk0HWdF198kc2bN5OXlzfdH8fFxcVlzuHaYRcXF5eLo033G/7VX/3VoL9bW1spKSnJ/V1aWkpLS8sF20tKSmhpaQHgC1/4Ah//+MdZs2YNW7du5Q/+4A/44Q9/OKFxdXXFsW056v2LikJ0dMQm9J5jwe44S+b4m9htdcDoxmnZYFk2pmUPeoWUEikltg22HN2xMnh4SW6lg3wAViwo4PYra/Hq6rSfi5nAtGzqGns5cq6bk/U9pA1ryP1UVcGy7El7X1UVfOLmZVSVBCftmNPJpXBtjJahzoWiCAoKpv+7nY12eKw2GKb3+pJGCvP0HsxTu5CZ+OheI8G0JZZlYw38bBJsJNKW2FIySjPMGarYITcCAr9X446ttVxWnQ9cGr+1rmiKo2d7OHqui+aOxLD7TbYdXlwZ4WM3Lp20400nl8J1MVqGOxcj2eFpd5LPx7ZthBC5v6WUCCGG3Q5wzz33cM899wDw05/+lLvuuot9+/bxyCOPUFBQwLe+9S38fv+YxjGeG1VRUWjMr7kYdiZFdN8ryEwKAGlbJI69Q7rpJEL3EViyHqF5Br2mN57mVEMP8ZSZ22ZZdv8NRwiU/lOJqgg8uoZHV9FVBQQXpTR5mjuVJ9he8Tv0mB4e33GKNw4080cfW09RUWhKzsV0Y1k2R850sftIC3uOttLRk8o9l0gaZEwbTVVYvbiQsqLpcWx27m/i9YPN/MFHL5+W95sK5sO1MVnM1nMxG+zweCcLU3FOUw3HSJ05mPvb7GkjeuA1ZCaJp3Qh3tLaQfvbts251hiNbTFyvrCUGGa/o6YIkbO1QoCmqXg1BV1TUdWLG2GvlWR16nVkgYfjeVs5eraLv/rxbm7buoDP3r0amL3X11jo6k2x52gru4+0criuAzN7Qm1b0ht3ct9LC/wsX1CIqozi5jVBmjri/PbNM3z05uWUFIzNr5gtzIfrYrIY67mYcSe5vLyctra23N9tbW2UlpZesL29vT23NNhHIpHghRde4NFHH+XjH/84//t//28ef/xxfvOb3/DAAw+MaRwdHbExRTFKSsK0tUXH9B4Xw451kHzu/8PuODtou1JQifeaT6Ffdg3C0/8j7Yqm+dWrJ9l5oJlIQGf9ZSU5Z1jXVKpLg9SWhqksDqJrE8ussVpOkHjyb/iQ/QL+D36FG9dX8qOnD/P1R3byoQ8s5p6rFwy6mc41zrXG+NufvU9vPIMiBEurIly+pCg3f/DoKisXFLCitgCvRx32OJN9XcTiad7Y28hHr12EMg03hMlmKn4nc5WhzoWiiFlxA5sNdnisNhim5vrKHHyR9M7/BDkgEqloaIu34Fl9M0rpkpytk1Ky62gbv3jlBO09KVYvKqQkz5d7WWHER21ZiJrSMPkhz4RspJSS1Is/YM3pV9hy1UbsGzfz+I46nnv7DO8eauYbv7uVPO/wtmm2I6XkJy8e58XdTiFpXtDDigUF+AfY2/LCAGuXFFFeGBjxXE7mddHcmeCr//gWL7xZx7YtNZNyzOnEtcH9DHcuRrLDM+4kX3755dTV1XHmzBmqq6t56qmn+OhHP0pVVRVer5fdu3ezadMmnnjiCa677rpBr/2Xf/kXfud3fgdFUTAMA03TEEKQTqdn6NOMH6vlBMnnv480Dfy3fxm1cmX/k6qeMwi2lBw508Xr+5vYfbQNKSV3bK3lrqsW4vdO3depli3Fe+1DpF/7Eel3fsmyrQ/w55+9gp+9fILf7DhFWZ6Pq9aUT9n7TyWdvSn+31/sRVUEf3DvGlYtLCDg02d6WABsXlHKrqNtHK/vZnltwUwPx2We4tphkLZJeud/Yhx6GbV2Pf4bPgd9q3aKglD67WtvPMNbB5t5fX8T9W1xqktC/LePr2fVwsIpG58QAt8NnyPxRDPJl/4PwQ9/k/tvWsqmFSX88LEDfPffd/GNhzfj0eemo/zUm2d4cXc9111eyU0bq6guDTnR9xmmvDBAdUmQd4+2zkkn2WVizLiT7PV6+Zu/+Ru++MUvkk6nuf7667n99tsB+O53v8vXv/51YrEYq1ev5uGHH869rqOjg0OHDvGHf/iHAHz+85/ngQceoLCwkEceeWRGPst4Mc+8T/LFv0cECwnc9d9RCyqH3O/o2S7+6alDdPSm8Xs1rllbwR1X1lKSPz1LQJ4V12O3n8HY9wxq6WK8i7fwqW3LaO5M8J8vHmPVwgLyQt5pGctkkUiZfO8Xe0llTP77JzdRUzrzUb2BrFtShK4p7DrS5jrJLlPGpW6HpW2SfOZ7WA0H8Vx+J54t9yGUC1ffbCn516eP8ObBZixbsqgiwmfvXMnVa8qnZaVH6D78t/4R8ce+RfL57xP48DdZUpnHZz+4kr/96fs8/nod98/B3Nk39jfx2GunuGp1GZ++ffmsW5XcvKKUx3fU0RVNUxCeW/c4l4khpBxtycD8ZqbSLaRtEv/Zf0fofgJ3/QnCN7STZkvJN//5HdKGxUevX8LGZcXo2vRHDKRlknjsW4Ak8NG/RAhByoY/+tvtrFtSxBc+vGbWGbjhMC2bv/vZ+xyv7+HL918+KVGgqVja+sGv93OisYe//cI1syKyMhbcpb5+ZnO6xWxgJtMtjGNvkNr+KN5rH8az6qZh99tzrI2///V+rru8gm1baqkqnpmCWqNuF6kX/h7fTb+PvnQrAD/bfpLn3z7DVx/axJLKuaMwcvB0J//vz/eyrCafL99/OZo6cdGtybY7TR1xvvbo2zx4y2XcsnluRZNdG9zPeNItxn019gnKu0wM88TbyGg73i0fHdZBBnj/eDsN7XE+fN1irlxVNiMOMoBQNfTVN2N31mO3ngSgpizMhz+wiD3H2nj3SOuMjGs8PPnGaY6c7eYzd66Y0mXSibJpRQk9sQwn6ntmeiguswzXDk8cKW0y7z+FUliDvvLGEfaTPLXzNCX5Ph66bfmMOcgA2sKNiHAxxpFXc9s+c9dq8kNefvT0kUEFg7OZRMrgHx4/QEVRgC98eO2kOMhTQUVRkKriILvm0P3NZXIY9xV544038r3vfY+GhobJHM8lRc44F9Wg1g6vXjDQOF+xsnTY/aYLfcmVoPvIHN6e23brFTUsqgjz788fozeRmbnBjZJEyuDF3efYvKKUq9dUzPRwRuTyJcVoquIaaJcLcO3wxDHrdmN3N+HZcNeIq2AHT3dyujnKnVsXoA6RijGdCKGgr7geq/EwdnczAEG/zu/csYLG9ji/eaNuRsc3Wl7a00A8ZfK5u1YR8M149ueIbF5RyvH6HrpjcyvX3mVijPuX/vOf/xxVVfnUpz7Ff/kv/4Xt27fjZm6MjZxxXn/3nDHOAMLjR1+6FfPkO8i0oxeqKgqfuXMl8aTBy9nq5KnGMAxM0+D06VMYxtgc85f2NJBMW9x11YIpGt3k4fdqrF1cyK6jraPWtZ4OGhun53t2GR7XDk8MKSWZ955E5JWjLdoy4r5P7TxDQdg7aybV+vIPgFDJHNme27Z2cRFbV5XxwrvniKeMKR/DRGxwOmPxwrvnWLekiNqy8BSNcPLYvLwECew+2nbRfacT1w5PLeP2uCoqKvijP/ojXnrpJT72sY/xl3/5l9x888380z/9E5nM7I8kzjSOcf4NSl452qLNI+4724wz4CxLWhmM4ztz26pLQqxdUsT29xsxJ1HIfShefPEZzp6t4/XXX6Wh4RwvvvjMqF8714wzOFGM7liGUw29Mz2UHG+//cZMD+GSx7XDE8M6txe74yze9R8cslCvj2Pnujl2rpvbr6idsJzmZKEE8tEWbsA89gbS6neIb7+yloxps2Nv05S+/0RsMMCr7zcQSxrcdfXCqRngJFNVEqKiKMDuo7NrRc+1w1PLhH7tJ0+e5Dvf+Q5//ud/zsqVK/n6179OQ0MD//W//tfJGt+8xTHO5/DMQeMMoBYvQClZhHH41UGRq1s2VdMbz0x5akAsFmXx4svo7e3mmmuuJ51OXfxFWXLG+aqFUzfAScZJuRC8c6RlpoeSI5PJ8JOf/BvPPPNE9vGbmR7SJYlrh8eHlJL0e08hQkVol1014r5PvXmacEDnuvVDKw/NFPrKG5CpKGbd7ty22rIwy6rzeOW9+jEXQo6Fidhgw7R49p2zrKjNZ2nV3Cky3Ly8lKPnuumZRSkXrh2eWsadBPSJT3yCc+fOcd999/HLX/6S8nJHI/eGG25g69atkzbA+Urmvd+Oyjj/9s0zs9I4g2Og06/9iHTDUfBWAbBqUSFlBX5e2lPP1tVTq5v8+uuvUF1dS13diVG3dTVMi2f6jHP13DHOAZ/G+qXFvHmgmY9et2TEhibTxZ133jPTQ7jkce3w+LGajmK3nMB7zUODNJDP50xzlAOnOvno9YvxzjINYrVqFSJcgnF4O1y1Lbf9pk3V/MMTB9l/qoPLlxZP2fuPxwYDvL6/me5Yht+9a9WUjW0q2Lq6jCd3nubVvY186JpFMz0cwLXDU824Q5MPPvggr7zyCl/60pdyhrmnpwdFUXjllVcmbYDzEWkZWC3H0ZddM6Jxbu1Osv9UBzdtrJ51xhn6C/h697yQ26YIwU0bqznZ0Mvp5qlLDbj11ruoqVnIhg1b8Hi83H773aN63ev7m+mJZfjgHFniG8gtm2uIp0x2Hmye6aEAoCgKu3e/zRtvOMutyWRyxP0nkr/oMjSuHR4/VuNhQKAvv3bE/V55rx6PrnDjhurpGdgYyBXwNR0h09FfvLlxWQl5IQ8v7Zm6fNXx2mDTsnnmrTMsqoiwasHc0n6vKAqyZnEhr+xpmDUKImOxw64NHjvjdpL/5V/+BV0f3JXsk5/8JADB4MxJ48wFZLwLACVcMuJ+r+9rRAj4wLrZk4s8EKH70JdsJX54J9Ls/8Fds7YCr67y8u7RV9ybpkEmk+b5539LJpMmk0mTTqd46qnHhtxfSpvTp0/y3HNPEY32Eo2OTgfy5T31LKoIzznjDHBZdR4Ly8O88O65WVHA9/LLz7FixWpSqSQVFVXs2PHSsPtONH/RZWhcOzx+ZLwTEchDaMM3h0imTd4+1MoVK8pmrfqCvvxaEILYgddy2zRV4cb1VRw41UlLZ2JUx5kuG7z/VAftPSnuumrBnNHUH8itW2roiWd45/DsSH0brR12bfD4GLOT/OlPf5qNGzdy9OhRNm7cmHusX7+egoK553jMBHasAwARHF6b17JtXt/XxNrFRRRGfNM1tDGjLViPNDNYLSdy2wI+javXlPPWoRaio5SDO326jqeffoJz507zzDO/4emnn+DZZ5+kqGjopcKxOGh9ZAyLxvY4axcXzUnjLIRg25YamjsTHDjVMdPDwbIsyssrEUKQl5ePqg7vREwkf9HlQlw7PHHsWOeINhjg3SOtpA2L6y6ffelufSiBfJSSxSTr9g3afv36SlRFjDqaPB02GJz0FSFg9aLZq00/EqsXFlJZHOSFd8/NCiWZ0dph1waPjzFPjX/wgx/Q3d3NV7/6Vf76r/+6/0CaRknJyJFRFwcZ6wRACRUNu8/+k510xzJ8ctvsNc4AasVyUFSshkNoVf35ZTdtrOKV9xrYsa+JO7deXGZt6dJlLF26jMbGevz+AAUFhdTXn6WycuglzrE4aH00dsSR0lHhmKtsWVHKL145kVXnmLpcw9FQUFDEzp2vkUwm2LXrbfLy8kfcf7z5iy4X4trhiSNjHSiFI6dQvLa3kYqiAEuqItM0qvGhVa8m/d5T6JkEwhMAIC/kZcuKUt7Y38RHrluMzzOyjZwOGwxQ3xantCCAZxamEI4GIQTbNlfzb88e5di5bpbXzuykdCx22LXBY2dc6RbV1dV8//vfJxgM5h5er5fe3tkjTzWbseOOkyxCw/+4XtvbSCTo4fKlwzvSswHh8eOrWobZcHDQ9qqSEAvKwxys6xzT8fbu3UNzcyMAHR1twy4JjdVBA6hvjWfHNneXoTVV4eZN1Rw83UV9W2xGx3L99TdTWVnF8uWrKCws5MYbbx123/HmL7oMj2uHx4+UEjveiRghUFHfGuNUYy/XX14561ee1KrVIG3MxsODtl+9ppxk2qKucfTXxFTaYID6thjVc9gGA1y1upyQX+f5d8/N9FBGbYddGzw+xhxJfuihh3jsscfYunUrQohByw1CCA4fPjzCq13AiWAIb2jYXLiuaJp9Jzu47cqaWdumcyD+RetIvfZzZCo2qLV2VXGQw2e6xnSsRCLOypVrALj88k08/vjPh9zv+utv5vTpk/j9fvLy8tm8+cqLHru+LYauKZQVBMY0ptnG9eurePKN07zw7jk+c+fKaX//ffv2DPpbVVVisSj79u1h3bqNQ76mL3/xyJGDLFy4GF334PfP7e9hJnHt8ARJx8HMoIyQbvHavkZURXDVmqlV6ZkM1NIlCN2HVX8IfeGm3PbKbOvs5s4EKxeOLr1hKm1wOmPR1pXkqilWPppqPLrKDRsq+e3OM7R0JWbknjJWO+za4PExZg/sscecJP4jR45w+PBhjhw5knu4hnl02LGRIxg7DzRhS8l162Z3qkUf/kXrAHlBFKO8MEBXNE0ybY7+WH4/Bw7spaWlmYMH9+H1DjOR6OqkubmJRCJOY2MDb7yx/aLHbmiLUVkURFFmd1ToYoT8OlevKefNgy109Ex/XpnH48Xj8XLmTB3RaJRAIEgikaC+fvioynjzF12GxrXDEyNXFxIa2nE0TIs3DzSzcVkJ4YBnOoc2LoSq4atddcGKXkHYi1dXaRpl8R5MrQ1u7IgjYc5HkgFu2liNogieeevsjLz/WO2wa4PHx5gjyT/60Y9GfP4zn/nMuAdzqSDjncMqW9hS8treRpbX5FNWODdmed6KpaD7sBoOoi/ub+1anh1/S1eCheWjy+m75ZY7OXLkIMeOHSISyeOWW+4Ycr+XXnqGDRu24PP5Rz3O+rY4a+Zoscj53HnVAt440Mwvtp/g9+9ZM63vvWLFagCOHTvMNddcD8DSpcv5zW9+Oexrxpu/6DI0rh2eGDI+cl3I7mNtxFPmrC7YOx//onUkT+7BjnXkPpcQgrJCP80do3eSp9QGtzopYnO5LqSP/JCXGzdU8dLuem7cUMWC8unt3jpWO+za4PEx5rN07NixqRjHJYUd60QtXz7kc6caemnrTnHPtbNDqHw0CFVDq1yJWT84ilFR5DjJzR2jd5J1Xcfn82FZEUpLK7Asm/MUrgBnFr1kybJRj7E3kaEnnqFqHhhngOI8P3duXcATr9dxw/ouVsyIpJ3g0KH9FBWV0NbWfIEU2UDGm7/oMjSuHZ4YdqyvLmToSfNbB1soivhYuXDuKIUEFl1OJ2DVH0RZcV1ue0VRkJMNPaM+zlTZYHACFR5NoSR/9I71bObeDyzirUMt/OeLx/jvn9w4Q7nro7PDrg0eH2N2kgdWUgPEYjF0XR92ScZlMDKThExi2HSLo+ecHN61i2d3wd75qFWrMM+8h93bihIpBaC0IIAQTj7caHn55ecoKCikru4kRUXFvPji09x110dyz7/++naEANM0+c1vfjlInuiaa24Y9rgN2QhGTen8cJIB7riyltf3NfGfLx7jm5/ZgjpCe/Op4Lbb7uLoUSfiVFBQyK233jXsvgPzFyORfDZs2DyNI51/uHZ4YshYBygqwn/h5N22JcfOdbN1dTnKLC/YG4heUoPw52E2HEIf4CSXFwZ451ALGcMalaLEVNlgcOpCqkrmfspbHwGfzn03LOFfnznC24daprzL7FCM1g67Nnh8jPuueubMGe6//36uvPJKNm3axMMPP0xTU9Nkjm1eYueW+YaOYByv76GiKDAn8uAGolY7Sz9mw6HcNl1TKM7zjclJjsWibNx4BZqmUVu7EMMwBj2/aNESFi5cwpVXXsOmTVeycOGS3GMk6tscZYv5kAvXh0dXeeCmpdS3xdn+XuO0v//Ro87KQSSSj23bHDy494J9enp6aG9v41e/+gmhUISamoXk5eXx61//dLqHOy9x7fD4sOOORrIQF94C69tipDIWl82htvXgpFaoVauwGg4iZX83uPLCABJo7Rq5I2YfU2WDoc9Jnj+BCoBr11awoDzMz185QSoz+vqbyeJidti1wRNj3E7yN77xDe677z7ef/999uzZw7Zt2/j6178+mWObl8gRlvlsKTle38Nl1fnTPKqJo+RVIIIFWOcVjpQXBmkaQz6cpumcOXMK27ZpampA1wdPFqqqaqiqqsHvD6BpGpqmc+DA+xc9bn1bjJBfJxKcW5OPi7FpeQkrFxTw+I5To27cMln0FY54vV6i0Sjt7W0X7NPV1cW+fXuIRnvZt29P9vEeK1euntaxzldcOzw+ZKxzxEAFMOecZHD0kmUqit3Z30CkrzZktMV7U2WDe+IZogljXuQjD0RRBJ/ctozuWIandp6Z9ve/mB12bfDEGHfmdm9vL/fff3/u74ceeohf/nL4wh0Xh76q6qEKRhrb4iTT5pw0zk4UYzXmmfeQto3ILv1XFAU4erYLW8pRLV3edNNt7NnzDrru4cSJY9x009Caj9u3v8ANN2zjzTdfY+vWa9mx42Wqqh4Y9rj1bXGqS4KzXu90rAghePCWy/izf3mHZ985y8duWDpt791XONLHUAUjCxcuJBgsoru7i/z8/vzO86NTLuPDtcPjw451oJYPnU97vL6bgrCXolnc6XQ41CrnN2nVH0QtqgX6neTmjviojjF1NrivaG/+rOb1sbQqj6tWl/P8u+e4dUvNtAZjLmaHXRs8McbtJNfW1rJ3714uv/xywJEiqq2tnbSBzVdkvBOEQATyL3juWH03AMtqLnxuLqBVrcI89jp2xxnUEqfwsLwwQMa06epNU5Q3/E2nqamRiopKmpsbqaysorKyCoCWlmZUVaG4uIxAoF/tQwhBIBBEUVSKikpG/MHbUtLYHucD6yom6ZPOLqpKQmxcVsJr7zfyoasX4fVMTyergTqd8Xgc0xx+qfH48SOcOHEUy7IwDINAIMADDzw8HcOc17h2eOxI20bGu4cMVEjp5CMvq8mfkxNqJViAkl+J2XAQz+WOKoXXo1IY8V407W0qbTD014XMt0hyH3ddvYA3Dzaz/b0GPjSNhfejtcOuDR4fY3aS777b6dISj8d58MEHWb58OYqicOTIEZYsuXhO0qWOHetEBPIRyoWOzPH6HvJDHopHcCZnM2rNWlBUjOM7BznJ4BTvjeQk9/R0UVFRSXt76wXP2bbN22+/wcc+9qncttLSMp544hdce+317Nz5GtXVw7e+bu9OkjYsqudR0d753Lqlht1H23jjQBM3bRy51e5k4fH0F4n5/UE2bNgy7L5nz9bxwAMP89prL7N585W8/PJz0zHEeYtrh8ePTPaAtIZMeevoSdEdy8zJlLc+tAXryex7FjvehRJ0IoflhYGLOslTaYPBWc2LBOZfylsfFUVB1i4u4uX3Grhj6wJ0bXoKqUdrh10bPD7G7CR/4xvfmIpxXDLIWMewyhbH67u5rHpuRjAAFF8YbeEmjOM78V7xMYTmobyo30lePYJGcd+S0caNWzh27Ag9Pd0UFBRy2WUrUBSFsjKnatgwDHRdZ8uWq9i8+SqEgMLCEtQROhP2Fe3N5XbUF2NpVR6LKsK8sKueGzZUTWlVfl3dSQC83sGTnqamBhYtGtpB0zQdRVEwjDShUJhMZnrzp+cbrh0eP7Iv5W2Ibnt9+chzdTUPQF9xHZm9T2Mc3YF344cAx0l+82AzUsph7y9TaYNhfhbtnc+tW2r425+9zzuHW7hm7dSuXI7VDrs2eHyM2UkuKipiyZIlHDx48OI7u1yAHe9ELbpwxt3Rk6KzN83tV8y9fOSB6CtvwDz1Duapd9GXXUNe0IPPo9I0yny4F198lpKSUiorq2ltbeall55l27Y7c5XT77zzBtdccwNPP/3EoHa8QgjuuedjQx6zLxeuqnj+OslCCLZtqeEff3OI/Sc7uHxp8cVfNE6GijT1MZyTvHz5Kt5/fzdlZZX85Cf/5mp0ThDXDo+fPoWhoSLJx+u78Xu1OW0rlLxy1MqVGEdexbP+LoSiUF4YIJm26IlnyA+NLBM4FTbYtp2Ut+vXV03uh51lrFpYQFVJkOffPcfVa8qnNOA1Vjvs2uDxMWYn+Tvf+Q6PPPIIX/ziFy94TgjBSy+5rQ6HQ0qJjHUiFmy44Lnj2XzkubzMB6BWrkTklWEceRV92TUIIagouvhSXx+pVJKNG68AoLZ2IU888YtBz/fpcN577/2YpoFl2ecf4gLq2+KU5PvweeZ3h6HNy0v5Rfgkz797bkqd5C1brgKgpaWJjo52Vq1ay6uvvsjq1euGfU0oFM5FqpYvX0VTU/2w+7pcHNcOj58+haGhcpKP1/ewtCpvzuv46itvJPXSD7HqD6DVrqOiyHH6mzsSF3WSp8IGt3UnyZj2vCzaG4gQgm2ba/jXZ45w5Gw3K6ewydNY7bBrg8fHmL2GRx55BICXX3550gcz35HpGFjGsMbZ51HnfLMLIQSeFTeQfvtnWJ0NqIVVlBcGOHque8TX9S0dqarKrl1vUVZWQUdHGz7f0HnMO3a8Qn39WQKBQG4JcbgoRkNbbN4WiwxEUxVu2ljFr149xbnW2JRfS6+99jK33nonABs3XsmLLz7Nhz88uLr96NGjHDp0jFOnjrNkyWWAM1msrz87Kl1Vl6Fx7fD4sWOdoHnBExi0PZY0aGiPc+Wqshka2eShLdyI8IUxjmxHq103qDZkuO6cU2mDc8oWc/z+Nhq2rirjl9tP8sK756bUSe7jYnbYtcETY9yhtZMnT7Jnzx7uu+8+vvKVr7B//36+/e1vs3Xr1skc37yiLxdODJkL1z0vIhgA2rJrSL/7K4wj21Gv/mQ2H66FdMYaVnmhvb2VdDpNd3cXDQ3nCAZDLFy4hMLCoSOira3NfOITn77oWAzToqUzyeblpRP6THOF69dX8eTO07yw6xyfvXPllL6XEJCX59wEwuFwbtl1ILW1tSSTFtFoL4sWLc3dTNevd7s9TQauHR47MtaBEiq8YCn8xBzWRz4foWroyz+QK+AriOTj0ZQRV/SmygaDs5ongMo5nMYyWjy6yo0bqnhq52laOhOUFQYu/qIJcDE77NrgiTHu8stvfvObeL1etm/fTnNzM3/1V3/F9773vckc27zDjg3dbS+eMmhoi88L4wyg+CNoizZhHHsDaWYo71vqG8FAL1y4hKamBlavXsfNN9/OqlVraWg4x4IFQ0vplJVV0NzcSDqdJpNxHkNxtjWGLeUlEcEACPl1rlxZxrtHWskY1pS+19KlK/j1r3/Ka6+9xOOP/5ylSy/UnfX7/VRV1XDLLXfQ1tbCiRPHaGlpxu+f2hvHpYJrh8eOHe8csnj6eH03qiJYVHFhq+q5iL7iepA2xtEdKEJQVhgYsbHTVNlggDPNUUoL/HhH0RZ7PnDDBif3+s2DzVP+Xhezw64NnhjjjiSn02k+9KEP8Zd/+ZfccccdXHnlla449UXo77Y32ECfqO9BMvfzkQeir7wB8+TbmKfepaLQ0XBt7kywoDw85P5vvrmDO+74EKFQ//OXXbaCl19+bsglvM7Odt56q79wYbilvncOtaKpglULp37Za7Zw5aoyduxrYt/JDjavmLoI+vr1m1i+fBXRaA+maVJZObz03MsvP0tFRTUrVqyiubmJF198httuu2vKxnap4NrhsSNjnaiFNRdsP17fw8KKMJ554sgpeWWoVatyBXwVRQHqmnqH3X+qbHA8ZXCgroMbN0yPNOVsoCDsZXltPu8cbuWeaxdNaQHfaO2wa4PHx7id5EwmQ3t7O9u3b+eRRx6hvb2ddHr4maRLttueqiF8jhHq6Emx/1QHr+1tdCIYlfMjggGgVqxA5JWTOfwKpXduRTByJNm2rUHGGSAcjmDbQxeFfOhD9w36eyjHwLJt3j7UzOVLign69LF/iDnK8tp8IgGdd460TqmTvH37C+Tl5bNhwxbeeONVTp48xgc+cNOQ+yaTSdatcwpWy8oqqKs7PmXjupRw7fDYkJaBTPbklC1My+Z4fQ8HTnVQ19TLti0XOs9zGX3lDaRe/CFW/X7KC8O8e6QVw7SH1PCdChsM8O7hVkxLcvWa8nF+irnJFSvL+PFzRznXGqO2bOjg0GQwWjvs2uDxMW4n+YEHHuDGG2/kjjvuYOnSpdxwww38wR/8wWSObd4h452IYCES+N7P3+fAKSeyXBTxcf+NS+fVUpQQAs/K60m/9TPUaBNFeb4RnWQhBOl0Gq+3v/I6lUoNu/+777550e5BB+s66U0Yl5xxVhWFTStKeWNfE6mMOWWqHh0dbdxwwzYArrnmeh5//OfD7iuEoK7uJGVlFbS2NqGq81tpZLpw7fDYkPEuwFG2OHymi//9q32kMhaqIlhWk89NG+eXRJm2YCPCH8E4vJ3y6geQElq7EkPqFU+FDQbYeaCZquIgtWWXRspbH5uWl/Dvzx/jncOtU+okj9YOuzZ4fIz7LD344IN8/OMfR1GcGeljjz1GQcGls6Q9HmSsEyVUxMmGHg6c6uSWTdXcuNFRf5irDURGQlt2Lel3fuUY6MI1NI+QD7d581aefvpx1q5dTzgcIRaLsnfvnpzMzfmMpnvQzgPNhPw6a5cM3bxlPnPFilJe2dPA+yfa2bpqaiYJmqZz9mwdJSVltLW1oqrDT/ISiTgNDec4eHAfeXn53Hzz7VMypksN1w6Pjb66EBEs5NmdZ/F5VD5/9ypW1Bbg984/p0GoGvqya8nse5bKZR8GnBW9oZzkqbDBrV0JTjT0cN8NS+blPW4kwgEPKxcW8M7hFj56/eIp+/yjtcOuDR4fY7YKjz76KJ///Of5y7/8yyG/9K9//euTMrD5iB3rQK1cyVsHW/BoCh++bvG8NMx9KL4w2qLNGMffoKpyA9vre4Zd6quqqmHbtjs5fvwIDQ31BINBbr759mEFzy/WPSiZNnnveDvXrqtAu0gnqPnIZTX55Ic8vHu4dUqc5HQ6zfLlq3nqqccQQrBmzXpuuum2Yff3+wNYlkVNTS0gOHHiKOvWbZz0cV0quHZ4fPQpDCXUMAfrTnL7lbVsuKxkhkc1tegrbyCz92mK2nYDedS3xdm0/ML9JtsGA7x5sAWBI4t2KXLFylJ+9PQR6pqiLJ6CdMqx2GHXBo+PMXto3//+91mzZg35+XO3ffJMIG0bmeiGQAHv7mtl/WXF89pB7kNfeT3mybe4InCO5wwPP3rmMJ+7a9WQbZNDofCwfefPp7Z24XndgwYrg+zK5t5dvfrSSrXoQxGCLSvKeOW9ehIpk4Bv8q61trZWtm9/gaVLl3PrrR+kt7eH48ePsnz5KoLBoZdU+0TsXSYH1w6Pj75ue7vrTWwp2bp6/jtvSqQUtWo19vEdLK9+kGfePsPaxUVDOm2TaYOllLx5oJkVCwoojAyttTzf2bishB8/e5R3DrdMupM8Vjvs2uDxMeY755e//GX+4i/+AnCW+j784Q8TCl1auUbjQSa6Qdo0p33EksaULYHPNtSKFSh55ZR27OKj13+KX716isKwj/tumJiIeW9vDx0d7dTULOCmm26jrGzw+XzzYDNlBf4pmb3PFa5YWcoLu87x3vE2rllbMWnHHWsVPLgGerJx7fD4kLFOhDfEm0e6qC4JXhJNhqCvgO8H/P4N8Fcvefj/frmXrz20idKC8cuAXcwGn2zopbU7yd3XLJzY4OcwQZ/OmkWFvHuklftvWjpkcGi8jNUOuzZ4fIx5Hfqzn/0szzzzDH/xF3/B3r172bZtG3/+53/O8eNupeRI9C3zHWiRBH0aaxZf2FBkPiKEQF95A3bLCW5bpnDD+kqefusMr+yZWEvM66+/hQ9/+AEqKqrYs+dtfvGL/8g9196T5MjZbq5aU35JR9kWV0Yoivh453DrxXceA1LaY6qCd5l8XDs8PuxYB5Y/nxMNPfOis95o0RZuQPgj6Kde5ysPrEdK+Luf76U3cWGKxGgZyQYD7DzYjEdT2LhsfqezXIwrVpbRFU3nmtVMFq4dnh7Gnay5ZcsWvvvd7/LMM8+waNEi/uRP/oSHH76wstXFwTy3D4C3z8HmFaWXVJ6svuxaUDTMI6/yyVuXcfmSIv79hWMcqOsY9zGjUaeoZPfut9F1D1dccXXuudf3NQFw1SWaatGHEIIrVpZy6HQnDdm2sJPF+TJjI1XBu0wdrh0ePTIVw2o9Sbt00gKuXHnpOMlC0dCXX4d1bi+lnhR/9NF1dEXT/P2v9mON06kayQYn0ybvHm5h47KSSyKtcCTWX1aMrim8uLsee4iupBPBtcNTz4Q9NY/HQyAQIBgM0tXVNRljmnfYPS1k9j1Dd8l6GjPBS66IQfhCaIs3YxzbiUj28Pv3rKG8MMCPnj5CImWO65ivvvoiwWCQO++8l1tuuSPXFaqpI87Tb51l07ISSvL9k/kx5iQ3bqgi5Nf5n//5Hqebh28kMBb6quBPnDhKS0sTJ08e4+mnH2fzZrcV8kzh2uGLk971a8gk+W3vapZW51F8idkHfcV1ICWZfc+wtDqPz9yxghMNPTz/zrlxHW84Gwzw81dOkEib8053ejz4vRp3XFnLriOt/Oi3h8c9KTkf1w5PD+N2knfv3s2f/umfcsMNN/DGG2/wxS9+kSeffHIyx5bjySef5M477+TWW2/lP/7DWdL5yle+ws0338zf/u3f5vb7x3/8R1599dUpGcN4kVKS2vkfoGg8k9lCQdjLZTX5Mz2sacez4UOAJPnC/8aj2nz2gyvpjqX5+SsnxnW8u+76MJddtgJd728SYtuSHz19BK+u8KlbL2yRfClSnO/nv39qI15d5X/95D2Oneue8DH7quCj0V6OHDlEV1cnN998OzU1CyY+YJcx4drh0WG1ncY49ArpRdfxfofvkgtUgFPAp6+8EePACxin3uHKVWVsXFbCYzvqaOqIj/l4Q9lggEOnO3n1/UZu21I7b1p8T5R7rl3Evdcu4o0DzfzDEwcxzIk7yq4dnh7GJQH3q1/9imQyycc+9jGeeuopSkunrqtXS0sL3/ve9/j1r3+Nx+Ph4x//OJs2bSIajfLSSy9x991383u/93tYlsW+ffv4vd/7vSkby3gwz7yHdW4f9saP8e7LGbZtqZnU5P25glpQie+Gz5F64e9Jv/5/WXzdZ7jtilqeffssW1aWsnrhxHO0X9xdz4mGHj5310ryQt6Lv+ASoawgwJ9+aiP/66fv83c/e587ty5g7ZIiFpSHx30tjqUK3mXyce3w6JHSJvX6jxH+MNvtTahKO1umsBPlbMZ79YNYnedIbf8nAnkVPHTrMr7+T2/zL08f5k8/uQlFmdi9KZUx+ddnjlBWGODeDyy6+AsuEYQQfOjaRfg8Kj99+QR/m3ifG9ZXsmZxESH/+LvBunZ46hmzk7xjxw6+9KUvsW3bthGbB0wWO3fuZOvWreTn5wNw22238eKLL5JOp0mlUhiGgaqq/OAHP5hVhhlAmmmSb/wHMW8Jf70jiJTykpUkA9AXbcbecDeZ955EKVnIvddez3vH2/nXp4/wF797xYRy11q6Evz61ZOsW1J0yeciD0VhxMeffnIjj/zmII+/Xsfjr9cRCeisXlTE2iWFrF5YSDjgmelhuowS1w6PHuPIa9htp3jReytP72lj07KSS/ZaF6qOf9sfkvj1n5N8/vtEPvxNHty2jEefPMSLu85x6xW1Ezr+L7efpKMnxX//1EY886iD7GRx6xW1+H0av3jlJP/45CEEsKgywtrFRaxdXMTC8vCEJyouk8uYvZIf//jHUzGOYWltbaWkpL86trS0lH379rFixQo+8pGP8IlPfIKOjg66urpYt27dtIzp4Au/QTv7NvIiSfg+maZIdvCj3ttYsaSID161gOrSS0NyaDg8mz+M1XGW9Bv/gXriLf5bocXZlhin/u1J1AkYB9Oy+f8FYZEWJvnU05M4RMi+JAAACoFJREFU4rHRqKsYhjVj7z8SGvCFEJgrbBIpk3jSIF5vYp2VnAC8HpXJts9Hhbjo72Q+kS5eweX3Tn3h3KVuh+O9PdT96vvoduqi11ex3cY5o5QdmRoeuGkBN6yfX62nx4oSyHcc5Sf/hvhj32JdsJA/LY0R3/UcR/ZNzLFdnba4ttJL6Xtvk3hvkgY8DmazHd4EbFzkRN3jWTuc2mvRsxcOKAKPPrlF/ZeaDbYVjcKbfofyhYsn5XizvuzUtu1BMl5SSoQQfPWrX81t+5M/+RO+8IUv8B//8R+8/PLLbNq0iT/4gz8Y0/sUFY3eefUFvJhCXFReLI2fw/k38/987hPUTGHv9tlAScnoP5/9sf+H9mcfxYx1ont1Km3ojqUv/sIR0BWFynw//lkQIdI9s/tnpQN+v4eiApDSqUSPJTLEU+aUGNNLSYbP49FG/C2M5Xcym5gOOzwWG+zVLM6oKsiL2+EWtQbtqvv5l+s2omvzO7o56uurZAMx7Uv07noWkFSXRWhoj2NZE8uVzQvrVJQEZ0U0dLbbYY9XI5L9uixLEk1kiCYMDHPynftLyQYLRSE/Pzjsb2GsNnh2X0VAeXk5u3btyv3d1tY2KPfuwIEDhMNhCgsL+clPfsKTTz7J5z73Oerq6li0aPQ5UV1dcWx7dA7CZR+4naJ776OjY/SyWmPZd65RVBQa8+dTP/A5+m5XFdnHfGA852Km8QEFU3TsuXg+Jspwn3eoc6EogoKC4HQMa0JMhx0eiw0GjTW/87UxXV+9PclRHntuMubfWslavHesBf7/7d1tSJP7Hwbwa+YMTUgsnyAJEk1IM1Ar3ci0sOnyCCI+EUYjQQoNX1QS1JssNARfJNGLJIJCxCxEKzHyAW1SFIFEGb5oGjnTMpXamPPe77zof2be5/w7enCbdl8fELzdlN99sV1+/bkHYD2A3+mpzmuxd/wAuOLppGsxi5XwT+f8/7L4VQ+v+iE5OTkZV69exdTUFHx9fdHZ2YmLFy86L7927RqqqqqcO2Cq/+3wyl8/8N/8l19Uy9n5+N0xiwXMYjHmsWCtZuGOHv6vfyys1UxdgVksYBYLmMWC5Wax6ofkkJAQVFRUoLi4GHa7Hbm5uc7HvPX29mLHjh0IDPzxyggajQZpaWlISEhAdHS0J5dNRPTbYA8TkRKphJIe0U1EREREtATKeW9kIiIiIqIl4pBMRERERCTDIZmIiIiISIZDMhERERGRDIdkIiIiIiIZDslERERERDIckomIiIiIZDgkL1NbWxsyMzORnp6OO3fueHo5bldfXw+9Xg+9Xo8rV64AAIxGI7KyspCeno66ujoPr9D9ampqUFlZCUDZWXR1dSEnJwcZGRmoqqoCoNw8WltbnfeTmpoaAMrNwhXYw+xhOfYwO1huRXpY0JKNj4+L1NRU8fXrV/H9+3eRlZUlhoeHPb0st3n69KnIz88XNptNzM3NieLiYtHW1iZSUlLE6OiosNvtwmAwiJ6eHk8v1W2MRqPYs2ePOHv2rLBarYrNYnR0VGi1WmE2m8Xc3JwoLCwUPT09iszDYrGIxMRE8eXLF2G320Vubq548uSJIrNwBfYwe1iOPcwOllupHuZO8jIYjUbs3bsXAQEB8PPzw6FDh9DR0eHpZblNUFAQKisr4ePjA7VajYiICJhMJmzduhXh4eHw9vZGVlaWYjKZnp5GXV0dSktLAQCDg4OKzeLx48fIzMxEaGgo1Go16urq4Ovrq8g8JEmCw+GA1WrF/Pw85ufn4e/vr8gsXIE9zB7+GXv4B3bwYivVw95uWu9vYWJiAkFBQc7j4OBgDA4OenBF7hUZGen83GQy4dGjRzhy5MjfMvn06ZMnlud2Fy5cQEVFBcxmM4B/vn0oJYuRkRGo1WqUlpbCbDZj//79iIyMVGQe/v7+OHXqFDIyMuDr64vExERF3zZWGnuYPfwz9vAP7ODFVqqHuZO8DA6HAyqVynkshFh0rBTDw8MwGAw4c+YMwsPDFZlJc3MzwsLCkJSU5Pyakm8fkiRhYGAAly9fRlNTEwYHB/HhwwdF5jE0NISWlhZ0d3ejr68PXl5eMJlMiszCFZR8P/sZe5g9/DN28GIr1cPcSV6G0NBQvHjxwnk8OTmJ4OBgD67I/V6+fIny8nKcO3cOer0ez58/x+TkpPNypWTy8OFDTE5OIjs7GzMzM7BYLPj48SPWrVvnvI5SsgCAzZs3IykpCYGBgQCAgwcPoqOjQ5F59Pf3IykpCZs2bQIA5OTkoKGhQZFZuAJ7mD38F/bwAnbwYivVw9xJXobk5GQMDAxgamoKVqsVnZ2d2Ldvn6eX5TZmsxknT55EbW0t9Ho9ACAuLg7v37/HyMgIJElCe3u7IjK5efMm2tvb0draivLycqSlpeHGjRuKzAIAUlNT0d/fj9nZWUiShL6+Puh0OkXmER0dDaPRCIvFAiEEurq6FHs/cQX2MHv4L+zhBezgxVaqh7mTvAwhISGoqKhAcXEx7HY7cnNzsXPnTk8vy20aGhpgs9lQXV3t/FpBQQGqq6tRVlYGm82GlJQU6HQ6D67Sc9avX6/YLOLi4nD8+HEUFRXBbrdDo9GgsLAQ27ZtU1weWq0Wb968QU5ODtRqNWJjY1FWVgaNRqO4LFyBPcwe/hWl9jA7eLGV6mGVEEK4ac1ERERERGsCH25BRERERCTDIZmIiIiISIZDMhERERGRDIdkIiIiIiIZDslERERERDJ8CThSvO3btyMqKgpeXgt/M8bExODSpUseXBURkTKwg2m14pBMBODWrVvOdyoiIiL3YgfTasQhmegXYmJicODAAQwNDaG2thbv3r1DU1MT7HY7ZmZmUFJSgqKiIty7dw+dnZ1wOBwYGxtDSEgI8vLycPv2bZhMJhw7dgwGgwEA0NzcjMbGRjgcDgQEBOD8+fOIiIjw8JkSEa0+7GDyKEGkcFFRUeLw4cPijz/+cH58/vzZedn9+/eFEEJ8+/ZN5OXliampKSGEEK9evRK7du0SQgjR0tIi4uPjxdjYmJAkSWRmZoqysjIhSZJ4+/atiI2NFZIkiWfPnomioiJhsViEEEL09fUJnU7n/pMmIlol2MG0WnEnmQi//ldfQkICAGDDhg24fv06ent7YTKZMDQ0BIvF4rxebGwswsLCAABbtmyBVquFl5cXwsPDYbPZYLVa0dPTg5GRERQUFDi/b3Z2FtPT0wgICHDdCRIRrWLsYFqNOCQT/Qs/Pz8AwPj4OPLz85GXl4f4+HjodDp0d3c7r+fj47Po+7y9/373cjgcyM7OxunTp53HExMT2LhxowvPgIho7WIHk6fwJeCIluj169cIDAzEiRMnoNVqneUsSdKSf4ZWq8WDBw8wMTEBAGhsbMTRo0ddsl4iot8JO5jcjTvJREuk0Whw9+5d6HQ6qFQq7N69G4GBgRgZGVnyz9BqtSgpKYHBYIBKpYK/vz/q6+uhUqlcuHIiorWPHUzuphJCCE8vgoiIiIhoNeHDLYiIiIiIZDgkExERERHJcEgmIiIiIpLhkExEREREJMMhmYiIiIhIhkMyEREREZEMh2QiIiIiIhkOyUREREREMn8CI6JKzTHDA8EAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_plot_voe()\n",
    "plt.savefig('plots/loci_looped_voe.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_plot_gates()\n",
    "plt.savefig('plots/loci_looped_gates.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "loci23",
   "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": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}