241212_vis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Loading and pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_palette(\"viridis\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using json\n",
    "path = '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_json(folder_path):\n",
    "    file_names = []\n",
    "    for file_name in os.listdir(folder_path):\n",
    "        if file_name.endswith('.json'):  \n",
    "            file_path = os.path.join(folder_path, file_name)\n",
    "            file_names.append(file_path)\n",
    "    return file_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_1_0.060000000000000005_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_0_0.01_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_0_0.01_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_1_0.060000000000000005_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_1_0.060000000000000005_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_0_0.01_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_0_0.01_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_0_0.060000000000000005_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_1_0.01_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_0_0.060000000000000005_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_0_0.060000000000000005_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_1_0.01_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_1_0.01_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_1_0.01_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_0_0.060000000000000005_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_0_0.060000000000000005_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_1_0.01_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_0_0.060000000000000005_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_1_0.01_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_0_0.01_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_1_0.060000000000000005_3.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_1_1_0.060000000000000005_1.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_1_0.060000000000000005_2.json',\n",
       " '/Users/alyssapradhan/Dropbox/BMI/Fall/HDM/ABM/gens_50/sim_300_2_0_0.01_1.json']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_names = read_json(path)\n",
    "file_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def read_json_lines(file_name):\n",
    "    data = []\n",
    "    with open(file_name, 'r') as file:\n",
    "        for line in file:\n",
    "            data.append(json.loads(line.strip()))\n",
    "    return data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "sims = []\n",
    "for file in file_names:\n",
    "    sims.extend(read_json_lines(file))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'rec_rate': 0.060000000000000005,\n",
       " 'multiplier': 1,\n",
       " 'rec_cost': 1,\n",
       " 'stay': 2,\n",
       " 'pop_size': 300,\n",
       " 'count_As': 0,\n",
       " 'count_Ss': 300,\n",
       " 'count_As_recomb': 0,\n",
       " 'count_Ss_recomb': 0}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sims[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "abm_data = pd.DataFrame(sims)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>rec_rate</th>\n",
       "      <th>multiplier</th>\n",
       "      <th>rec_cost</th>\n",
       "      <th>stay</th>\n",
       "      <th>pop_size</th>\n",
       "      <th>count_As</th>\n",
       "      <th>count_Ss</th>\n",
       "      <th>count_As_recomb</th>\n",
       "      <th>count_Ss_recomb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.06</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.06</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.06</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>2</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.06</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>0.01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>2</td>\n",
       "      <td>298</td>\n",
       "      <td>1</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>0.01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>0.01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>0.01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>0.01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     rec_rate  multiplier  rec_cost  stay  pop_size  count_As  count_Ss  \\\n",
       "0        0.06           1         1     2       300         0       300   \n",
       "1        0.06           1         1     2       300         0       300   \n",
       "2        0.06           1         1     2       300         2       298   \n",
       "3        0.06           1         1     2       300         0       300   \n",
       "4        0.06           1         1     2       300         0         0   \n",
       "..        ...         ...       ...   ...       ...       ...       ...   \n",
       "115      0.01           1         0     2       300         2       298   \n",
       "116      0.01           1         0     2       300         0       300   \n",
       "117      0.01           1         0     2       300         0       300   \n",
       "118      0.01           1         0     2       300         0         0   \n",
       "119      0.01           1         0     2       300         0       300   \n",
       "\n",
       "     count_As_recomb  count_Ss_recomb  \n",
       "0                  0                0  \n",
       "1                  0                0  \n",
       "2                  0                0  \n",
       "3                  0                0  \n",
       "4                  0                0  \n",
       "..               ...              ...  \n",
       "115                1              219  \n",
       "116                0               92  \n",
       "117                0              157  \n",
       "118                0                0  \n",
       "119                0              163  \n",
       "\n",
       "[120 rows x 9 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abm_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new columns\n",
    "abm_data['coop_prop'] = abm_data['count_As'] / (abm_data['count_Ss'] + abm_data['count_As'])\n",
    "abm_data['multiplier'] = abm_data['multiplier'].astype('category')\n",
    "abm_data['rec_cheater_prop'] = abm_data['count_Ss_recomb'] / (abm_data['count_As_recomb'] + abm_data['count_Ss_recomb'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generating figures 2A-2E\n",
    "\n",
    "Generally for all these visualisations there is not yet enough data for the regression lines / confidence intervals to make sense.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting statsmodels\n",
      "  Downloading statsmodels-0.14.4-cp312-cp312-macosx_11_0_arm64.whl.metadata (9.2 kB)\n",
      "Requirement already satisfied: numpy<3,>=1.22.3 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from statsmodels) (2.1.1)\n",
      "Requirement already satisfied: scipy!=1.9.2,>=1.8 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from statsmodels) (1.14.1)\n",
      "Requirement already satisfied: pandas!=2.1.0,>=1.4 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from statsmodels) (2.2.2)\n",
      "Collecting patsy>=0.5.6 (from statsmodels)\n",
      "  Downloading patsy-1.0.1-py2.py3-none-any.whl.metadata (3.3 kB)\n",
      "Requirement already satisfied: packaging>=21.3 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from statsmodels) (24.1)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2.9.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2024.2)\n",
      "Requirement already satisfied: tzdata>=2022.7 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2024.1)\n",
      "Requirement already satisfied: six>=1.5 in /opt/anaconda3/envs/methods2024/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas!=2.1.0,>=1.4->statsmodels) (1.16.0)\n",
      "Downloading statsmodels-0.14.4-cp312-cp312-macosx_11_0_arm64.whl (9.9 MB)\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.9/9.9 MB\u001b[0m \u001b[31m30.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hDownloading patsy-1.0.1-py2.py3-none-any.whl (232 kB)\n",
      "Installing collected packages: patsy, statsmodels\n",
      "Successfully installed patsy-1.0.1 statsmodels-0.14.4\n"
     ]
    }
   ],
   "source": [
    "!pip install statsmodels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_49765/1230793668.py:25: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  for multiplier, sub_group in group.groupby('multiplier'):\n",
      "/opt/anaconda3/envs/methods2024/lib/python3.12/site-packages/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide\n",
      "  res, _ = _lowess(y, x, x, np.ones_like(x),\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using non-linear LOESS smoothing\n",
    "\n",
    "from statsmodels.nonparametric.smoothers_lowess import lowess\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "\n",
    "filtered_data = abm_data[abm_data['rec_cost'] == 0]\n",
    "grouped = filtered_data.groupby(['pop_size', 'stay'])\n",
    "\n",
    "# Determine the number of subplots needed\n",
    "num_plots = len(grouped)\n",
    "rows = 3\n",
    "cols = 3\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(rows, cols, figsize=(15, 12))\n",
    "axes = axes.flatten()  # Flatten the axes array for easy indexing\n",
    "\n",
    "# Loop through each group and create the plot\n",
    "for idx, ((pop_size, stay), group) in enumerate(grouped):\n",
    "    ax = axes[idx]\n",
    "    \n",
    "    # Group further by 'multiplier' and plot a smoothed line for each multiplier\n",
    "    for multiplier, sub_group in group.groupby('multiplier'):\n",
    "        # Sort sub_group by 'rec_rate' for consistent LOESS smoothing\n",
    "        sub_group = sub_group.sort_values(by='rec_rate')\n",
    "        \n",
    "        # Apply LOESS smoothing\n",
    "        smoothed = lowess(\n",
    "            endog=sub_group['coop_prop'],  # Dependent variable\n",
    "            exog=sub_group['rec_rate'],   # Independent variable\n",
    "            frac=0.2                      # 20% of the data used for local smoothing\n",
    "        )\n",
    "        \n",
    "        # Plot the smoothed data\n",
    "        ax.plot(\n",
    "            smoothed[:, 0],  # Smoothed rec_rate\n",
    "            smoothed[:, 1],  # Smoothed coop_prop\n",
    "            label=f'Multiplier: {multiplier}'\n",
    "        )\n",
    "    \n",
    "    ax.set_title(f'Pop Size: {pop_size}, Stay: {stay}')\n",
    "    ax.set_xlabel('Recombination Rate')\n",
    "    ax.set_ylabel('Cooperater Proportion')\n",
    "    ax.legend(title='Multiplier', fontsize='small')\n",
    "    ax.grid(True)\n",
    "\n",
    "# Remove unused subplots if any\n",
    "for ax in axes[num_plots:]:\n",
    "    fig.delaxes(ax)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Figure 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_49765/4119763830.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  grouped = abm_data.groupby(['multiplier'])\n",
      "/opt/anaconda3/envs/methods2024/lib/python3.12/site-packages/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide\n",
      "  res, _ = _lowess(y, x, x, np.ones_like(x),\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = abm_data.groupby(['multiplier'])\n",
    "\n",
    "# Determine the number of subplots needed\n",
    "num_plots = len(grouped)\n",
    "rows = 3\n",
    "cols = 2\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(rows, cols, figsize=(15, 12))\n",
    "axes = axes.flatten()  # Flatten the axes array for easy indexing\n",
    "\n",
    "# Loop through each group and create the plot\n",
    "for idx, ((multiplier), group) in enumerate(grouped):\n",
    "    ax = axes[idx]\n",
    "    \n",
    "    # Group further by 'rec_cost' and plot a line for each rec_cost\n",
    "    for rec_cost, sub_group in group.groupby('rec_cost'):\n",
    "        smoothed = lowess(\n",
    "        endog=sub_group['coop_prop'],  # Dependent variable\n",
    "        exog=sub_group['rec_rate'],   # Independent variable\n",
    "        frac=0.2                      # 20% of the data used for local smoothing\n",
    "            )\n",
    "        \n",
    "        # Plot the smoothed data\n",
    "        ax.plot(\n",
    "        smoothed[:, 0],  # Smoothed rec_rate\n",
    "        smoothed[:, 1],  # Smoothed coop_prop\n",
    "        label=f'Rec Cost: {rec_cost}'\n",
    "        )\n",
    "\n",
    "    ax.set_title(f'Pop Size: 300, Multiplier: {multiplier}')\n",
    "    ax.set_xlabel('Recombination Rate')\n",
    "    ax.set_ylabel('Cooperater Proportion')\n",
    "    ax.legend(title='Recombination Cost', fontsize='small')\n",
    "    ax.grid(True)\n",
    "\n",
    "# Remove unused subplots if any\n",
    "for ax in axes[num_plots:]:\n",
    "    fig.delaxes(ax)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Figure 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_49765/4214433244.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  abm_mult = abm_data.groupby(['multiplier'])\n",
      "/opt/anaconda3/envs/methods2024/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:3904: RuntimeWarning: Mean of empty slice.\n",
      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
      "/opt/anaconda3/envs/methods2024/lib/python3.12/site-packages/numpy/_core/_methods.py:147: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abm_mult = abm_data.groupby(['multiplier'])\n",
    "\n",
    "# Determine the number of subplots needed\n",
    "num_plots = len(abm_mult)\n",
    "rows = 3\n",
    "cols = 2\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(rows, cols, figsize=(10, 8))\n",
    "axes = axes.flatten()  # Flatten the axes array for easy indexing\n",
    "\n",
    "# Loop through each group and create the plot\n",
    "for idx, (multiplier, group) in enumerate(abm_mult):\n",
    "    ax = axes[idx]\n",
    "    \n",
    "    # Plot trend lines for each 'rec_cost'\n",
    "    for rec_cost, sub_group in group.groupby('rec_cost'):\n",
    "         smoothed = lowess(\n",
    "         endog=sub_group['rec_cheater_prop'],  # Dependent variable\n",
    "         exog=sub_group['rec_rate'],   # Independent variable\n",
    "         frac=0.2                      # 20% of the data used for local smoothing\n",
    "            )\n",
    "        \n",
    "        # Plot the smoothed data\n",
    "         ax.plot(\n",
    "         smoothed[:, 0],  # Smoothed rec_rate\n",
    "         smoothed[:, 1],  # Smoothed coop_prop\n",
    "         label=f'Rec Cost: {rec_cost}'\n",
    "         ) \n",
    "         \n",
    "         \n",
    "    \n",
    "    ax.set_title(f'Multiplier: {multiplier}')\n",
    "    ax.set_xlabel('Recombination Rate')\n",
    "    ax.set_ylabel('Recombinant Cheater Proportion')\n",
    "    ax.legend(title='Recombination Cost', fontsize='small')\n",
    "    ax.grid(True)\n",
    "\n",
    "# Remove unused subplots if any\n",
    "for ax in axes[num_plots:]:\n",
    "    fig.delaxes(ax)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Old visualisations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Figure 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_46143/973287783.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  for multiplier, sub_group in group.groupby('multiplier'):\n",
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_46143/973287783.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  for multiplier, sub_group in group.groupby('multiplier'):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = abm_data.groupby(['pop_size', 'stay'])\n",
    "\n",
    "# Determine the number of subplots needed\n",
    "num_plots = len(grouped)\n",
    "rows = 3\n",
    "cols = 3\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(rows, cols, figsize=(15, 12))\n",
    "axes = axes.flatten()  # Flatten the axes array for easy indexing\n",
    "\n",
    "# Loop through each group and create the plot\n",
    "for idx, ((pop_size, stay), group) in enumerate(grouped):\n",
    "    ax = axes[idx]\n",
    "    \n",
    "    # Group further by 'multiplier' and plot a line for each multiplier\n",
    "    for multiplier, sub_group in group.groupby('multiplier'):\n",
    "        sns.lineplot(\n",
    "            data=sub_group, \n",
    "            x='rec_rate', \n",
    "            y='coop_prop', \n",
    "            #errorbar=\"ci\",\n",
    "            ax=ax,  # Specify the subplot axis\n",
    "            label=f'Multiplier: {multiplier}'\n",
    "        )\n",
    "    \n",
    "    \n",
    "    ax.set_title(f'Pop Size: {pop_size}, Stay: {stay}')\n",
    "    ax.set_xlabel('Recombination Rate')\n",
    "    ax.set_ylabel('Cooperater Proportion')\n",
    "    ax.legend(title='Multiplier', fontsize='small')\n",
    "    ax.grid(True)\n",
    "\n",
    "# Remove unused subplots if any\n",
    "for ax in axes[num_plots:]:\n",
    "    fig.delaxes(ax)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generating Figure 3A-3E"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_46143/180026492.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  grouped = abm_data.groupby(['multiplier'])\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# abm_5k = abm_data[abm_data['pop-size'] == 5000]\n",
    "grouped = abm_data.groupby(['multiplier'])\n",
    "\n",
    "# Determine the number of subplots needed\n",
    "num_plots = len(grouped)\n",
    "rows = 3\n",
    "cols = 2\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(rows, cols, figsize=(15, 12))\n",
    "axes = axes.flatten()  # Flatten the axes array for easy indexing\n",
    "\n",
    "# Loop through each group and create the plot\n",
    "for idx, ((multiplier), group) in enumerate(grouped):\n",
    "    ax = axes[idx]\n",
    "    \n",
    "    # Group further by 'rec_cost' and plot a line for each rec_cost\n",
    "    for rec_cost, sub_group in group.groupby('rec_cost'):\n",
    "        sns.lineplot(\n",
    "            x='rec_rate', \n",
    "            y='coop_prop', \n",
    "            data=sub_group, \n",
    "            ax=ax, \n",
    "            label=f'rec_cost: {rec_cost}',\n",
    "            errorbar=\"ci\" \n",
    "        )\n",
    "\n",
    "    ax.set_title(f'Pop Size: 300, Multiplier: {multiplier}')\n",
    "    ax.set_xlabel('Recombination Rate')\n",
    "    ax.set_ylabel('Cooperater Proportion')\n",
    "    ax.legend(title='Recombination Cost', fontsize='small')\n",
    "    ax.grid(True)\n",
    "\n",
    "# Remove unused subplots if any\n",
    "for ax in axes[num_plots:]:\n",
    "    fig.delaxes(ax)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generating figure 4A-4E\n",
    "\n",
    "I realise they're all the same, it looks like that's the underlying data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bd/tvfk4lnn1_5cwxbn62tx7msw0000gn/T/ipykernel_46143/1380775073.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  abm_mult = abm_data.groupby(['multiplier'])\n"
     ]
    },
    {
     "data": {
      "image/png": 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Bv7+/JN63cDttFR4ezpkzZ7DZbGWXeH/99de88cYbziANULduXWbNmlXoqbMnmc3mIguS+/r6kpubC+T3zy9uv8Vicb6+dh/kT+p2q7LdceTIEbfPuV5OVi7JF038+ss3JS7rbiFt5TppK9dJW7nubm0rRVHINuWSfsX8x58c0tPyf7bk3Hhc4Oef/I+25lplXNMbK494LoQQFYUkr+Janvg8uJ14+/n53XCBcJVKVWpPPfz8/Iokwrm5ufj7+990v0ajKZRk+/n5OX8G0Gg0tyzbHZ5YhD0lKZ1fT/yXBg3ru7QQ+93M4XDw22+/UatWLWmrW5C2cp20levulray2x1cSTWRkpxBalImqUkZpCZnkJqcSa61+GW4gkO0hIbpMIQHEVU1BF2Igz4DHsJf41fC+tg9cqO3POK5EEIIcbdyO/Hu1KkTc+bMYfHixVSvXh3In5hl3rx5PPDAAx6vIIDRaOTy5cuFtl2+fNnZRby4/eHh4RiNRiC/u3rBOO6C7ucF+4s7112eWIRdrVbj5aUiKFgrMxLegt1uR6P1kbZygbSV66StXFfZ2spqsZF0MZ3ki1cL/Z2anInD7rjhOV5qLyKMQRij9RijQ4iM1hMRFUyAzh+HQyEg0J/IKD3BIVqOHf8Jf43fHdNW5RHPhRCiourUqRMXLlxwvlapVAQFBdGyZUtmzZpFVFTJhhF50vnz5+ncubNz8ujr7dy5k5UrV/L111+X+FpZWVl8+eWXzkmuO3XqxOjRo+ndu3eJy76RU6dOsWrVKvbt24fZbCYmJoaRI0d6JG7l5ubywQcf8PTTT3ugpkW5nXhPnjyZF198kUceeYSgoCAgf4KWDh06MHPmTI9XEKBZs2asX78eRVFQqVQoisL+/ft54YUXnPt//PFH5y/40qVLXLp0iWbNmmE0GomOjubHH390fvB+/PFHoqOjiYiIoHnz5ly4cIGkpCQiIyOd+2822ZsQQoiKSVEUTJlmki+m5yfXF/5Isi+lczUtq9jz/Px9MEbpiayiz/87OgRjFT3hEUGovfMTabvdgSnTjNViQxfoT2R0CHqDDl9f7zvyCXJ5xHMhhKjIpk2bRvfu3YH8Xl+nTp1i9uzZTJ06lbfeequca+e67t2785e//MUjZb355pvs27fPmXi/9957aLVaj5R9vf379/Pcc8/Rs2dP1q9fT0BAAJ9//jmjRo1i8eLFdOvWrUTlf/LJJ6xZs+bOSbyDgoJ4++23OX78OL/++it+fn7UqlWr0BgxT0hNTSUwMBB/f3+6du3KkiVLmD9/Pv369WPr1q2YzWZn4/bv35+BAwfSvHlzmjRpwvz58/nLX/5CtWrVnPsXL17sTKyXLFnC0KFDAahWrRrt27dn8uTJTJ8+nSNHjvDxxx/zzjvvePT9CCGEKDsOh4Mrl7NIKkisr3mCnZNtLfa8wGBNflIdrSfymqfY+tCAYsd32fPsZGaYsdnsBOu11KwTQUioDm+fO+PJdnHKKp4LIURlERgYWKhXrNFoZOzYsUyePBmTyVRhVoPw9/e/rWG1N3L9kmuhoaEeKfdG14mLi6N79+688sorzu3Dhw/nypUrJCYm8vDDD5eoV1lpLx/nUuJ98eJFoqKiUKlUXLx4EcgP2Nc+FS7YHh0d7ZGKtW/fngULFtC7d290Oh1r165l9uzZbN++nZiYGNatW+e8mxIbG8srr7zC8uXLycjIoF27dsydO9dZ1nPPPUdaWhqjR49GrVbz1FNPMXjwYOf+xMREpk+fztNPP014eDgJCQmyhrcQQlQAttw8UpIy/niC/WcX8ZRLGdhsN37KrFKBITzImVxHVgn542l2CNoA18df22x2TBk52O0K+lAtxig9+pAA5xPwO1F5xHMhhKjMCuaTKpgzIzMzk7lz5/LVV1+h1Wp55JFHmDx5sjPRPXz4MAsWLODnn38mMjKSsWPH8uijjwJw4MABEhMTOXbsGKGhoQwbNoz+/fsD8PLLL2MwGLhw4QLffPMNVapUYfHixezevZvNmzej1WqZMGECjz/+uLNuu3bt4q233iIrK4sePXowY8YMfH19C3U137dvH3FxcTz//PP8/e9/x2Qy0aVLF+bPn4+vry+KorB27Vq2b99OSkoKer2efv36MXr0aGc5ADExMfzyyy+Fupo7HA42btzIli1bSE1NpVmzZsyYMYOYmBjnOYmJiaxfv54zZ87QtGlTFi1a5Hx4eq39+/dz5swZVq9eXWTf8OHD6dGjh/N3cPr0aRISEjhw4AABAQH07duXUaNG4eXlRWZmJtOmTWPv3r14eXnxwAMPEB8fz08//URcXJyzXsV10y8JlxLvTp068Z///AeDwUCnTp1ueNe/oBv4sWPHbqsiv/zyy01fN23alPfff7/Y83v37l3sWAK1Wk1cXJyzMa9nMBhYs2aNmzUWQghRVnKyrSRdvJqfYF/zFDst1VTsHWpvHzXGqGCM0SHObuKR0SFERAbj4+t2hy+n3Nw8MtNzAAgx6IiIDCY4JAC1+s6fYK4s4rkQQtwtzp49y7p16+jQoQMBAQEATJ8+HZvNxpYtW7BarcybN49XXnmFhIQE0tLSGDp0KI899hjz58/n4MGDTJ06lTp16uDj48OgQYMYPHgw8+fP59ChQ8yZM4ewsDC6dOkCwKZNm5g2bRrjx48nLi6OQYMG8cgjj7Bt2zbefvtt5s+fT8+ePZ312759O0uXLsVutzNlyhTWrl3LmDFjiryPlJQUdu/ezYYNG0hJSWH06NHce++9PP3003zwwQds2rSJ1157jWrVqvHvf/+b+Ph4HnzwQbp3787Jkyc5cOAAK1asKFLuqlWr2LJlC3PnzqVmzZqsX7+e559/nt27dzsfoK5YsYK5c+diMBgYN24cf/vb31iyZEmRso4fP05AQAB16tQpsi80NNT5pP3KlSsMGDCATp06sWPHDn777TdmzJiBTqdj8ODBLF++nMuXL/PGG2/g7e3NlClTWL16NS+99BLTpk1j48aNvPfee6Xy5N6lbx5fffUVISEhzp+FEEIIT1MUhfQr2c4x1wXjr5MuXsWUYS72PI3Wl8gqIc6u4QVPsg3hgR6dbd1qsZGZkYOX2gtDeCARUXqCgjUVakZ3iedCCHH7Zs+e7exVm5eXh4+PD507d2batGlAfiL+5Zdf8v333zu7nc+dO5devXoRFxfHJ598QnBwMDNmzMDLy4vatWuTkZGBxWLh/fffp2HDhkyYMAGA2rVrc/r0aTZs2OBMvBs3bsyAAQMA6NGjBwkJCcyYMQN/f3+eeeYZtmzZUmjS6GnTptGyZUsAxo0bx+LFi2+YeNtsNmbMmEG9evWIiYmhQ4cOHDlyhKeffpqoqCgWLFhA27ZtgfwhvKtWreLkyZM0atQIrVaLj49PkYmpFUXhnXfeYcKECXTu3NnZFl26dOGf//wn/fr1A2DIkCGFyt68efMN295kMqHT6W75O/r444/RaDTMnTsXb29v6tSpQ2pqKqtWrWLw4MFcuHABrVZLdHQ0BoOBZcuWAfk9FwIDA1Gr1bc1ybYrXEq8q1Sp4vw5Li6OlStXOidiKXDlyhWef/55du7c6dkaCiGEqFTseXYup5gKdQ1P/uMJtsVy4/WvAfShAUXHX1fRExikKdX1Vi3mXDIzzHh7qzFG6Qk3BhMYXLrXLC0Sz4UQ4vaNHTuWhx9+mOzsbFasWMGFCxeYOHGi84bm6dOncTgcdOzYsdB5DoeD33//nd9++42GDRsWumE7ZMgQAFauXFlkqGtsbCxbt251vr6267O/vz9hYWGFlleG/Jm5C+LTteU1bNiQy5cvk5GRccP3VqNGDefPOp2OvLz85TLvu+8+Dh06xJIlSzh9+jTHjh0jNTUVh+PGq30USEtLIz09nWbNmjm3+fj40LhxY06fPl3sdW22G38P0Ov1mEymm14T8n8HjRo1wtv7zzQ3NjaW1NRUMjMzefbZZxk1ahSdO3fm/vvv55FHHinUS6A0uZR4f/vttxw+fBiAH374gTVr1hSZre73338vNMW+EEKIu5vVYiP5Un7X8ORLf84inpqcib245bm8VIQbg4uMvzZG6/HX+JZp/c05VkwZZnz9fYiuGkKYMRhdoH+FTLgLSDwXQojbZzAYnInismXLeOqppxg1ahTbtm3Dx8cHu91OYGAg//jHP4qcazQaCyWD1ytInK/lcDgKrYpx/fm36nF17f6CYVk+Pj43PLZgrPr1x+/YsYOEhAT69OnDww8/zNSpU3n22Wdvel248fuB/KVIr03ai6vP9Ro1akROTg6nT58u0t383LlzzJkzh3nz5hXbjgXXbtu2LXv27OGzzz5j7969zJo1i++++47Fixe7VI+ScCnxrlWrFhs2bEBRFOdSXtc2kkqlQqvVMn/+/FKrqBBCiDtPwfJcl5MzSbpw7QRnN1+ey9fP+4/k+s8n2JHRIYQZg/Aux8nJFEUhJ9tKlsmCv8aHqjXDCIsIIkDnmdlfy5vEcyGE8AxfX1/mzZtH3759efPNNxk2bBi1atXCZDKhUqmoXr06kD9v1fLly1mwYAE1a9bkX//6l3MuDYCXXnqJxo0bU6tWLX744YdC1zhw4AC1atW67TqeOHGC1q1bA/mTukVGRrq91NeWLVt48cUXef7554H8yePS0tKciXlxN6MDAwMJCwvj4MGD3HPPPUB+l/affvqJdu3auf1eGjduTJ06dXjzzTcLTaINsHnzZo4fP054eDi1atXi888/x2azOePbgQMHCA0NRa/X8+abb1K/fn169uxJ3759+fTTT53zgJX2jXWXEu9q1ao516abNGkS8fHxLvWxF0IIUTk4HApXLpucs4cnX0zn0oWrXDyfhtX872LPCwzSYIzWO5PsgnWw9aE6vLzunCfHiqKQnWUhO8uKVutLjdrhhEUEodG6Pst5RSDxXAghPKdp06Y89dRTrF69mscee4w6derQoUMHJk2axIwZM1Cr1cycOZPg4GCCgoLo2bMny5YtIzExkb59+7J//36++uorRowYQXBwMG+99RavvfYaTzzxBAcPHuTdd99l5syZt12/uXPnMm/ePLKysli+fDnPPfec22WEhISwd+9eOnfuTHZ2NkuXLsVms5GbmwuARqMhJSWF8+fPF5kFvGAys4iICGrUqMH69euxWq3OtdDdoVKpmDVrFsOGDcPLy4v+/fvj7e3NRx99xFtvvcXf/vY31Go1PXv2ZMWKFcyaNYvnn3+e3377jRUrVjBgwABUKhVJSUls27aNWbNmERkZye7du2nYsKHzvWRkZHDmzBmqVq160x4Kt8Pt0vbu3cuZM2do3LixRysihBCi/NlsdlKS0p1jrgtmEE+5lH7T5blCwwLzn15X0RMZpcf4RxdxXeCd/aTY4VDINlnIybESoPOndj0joWGBZd6tvTxIPBdCiJIbP348u3fv5tVXX2Xx4sUkJiYyb948Bg8ejLe3Nx06dGDGjBlA/vKNa9euJSEhgbfffptq1aqxZMkSGjRoAMDatWtJTExk48aNREdH8/LLL/Pkk0/edt369+/PyJEjsdlsPP300wwaNMjtMqZNm8a0adN4/PHHMRgMdOvWDY1G41z5okuXLmzdupVHH32Ur7/+utC5Q4cOJSsri5kzZ5KVlUVsbCxvv/32bc8Yft9997Fp0yZWr17N4MGDyc3NJSYmhrVr19KhQwcgf5z4hg0bmD9/Pr169SI0NJRBgwYxYsQIIH+SOZPJxPjx4zGbzdx77728+uqrzvJr1KhBz549effdd2nSpMlt1bM4KsXNlcIff/xxJkyYwAMPPODRilRkdrudgwcP0rx58xIt2g6QkpTO7k++4942zUpcVmVnt9s5ceIE9evXl7a6BWkr190tbWXOsebPGH7hjyW6/pjk7HLKTZbn8vYiPLJg7LWeiMhgLLYMWrVuWuGeDDscDkwZZqzWPHSB/hij9YQadPj6uTbWzF2ejBOeKqs04nlubi69e/dm5syZtGnT5obH/Pzzz8yePZsTJ05Qt25d5syZc8Pk/7PPPuOll14qsrzorXiqfTz5O7sbSHu5TtrKdeXRVhaLhd9++41atWo5Jy6rCBRFIScnB61WW6HnIikLt9NWxX0u3PmMuv3Eu2HDhowaNYomTZpQpUqVIgPxFyxY4G6RQgghSoGiKGRczflz/WvnOtjpZGbkFHueRuv7Z9fwa7qJGyIKL89VcJPC18+zXbFKkz3PjinTQm5uHoFBGqrXCickTIePT8V5D57i6XhutVqZOHEiJ0+eLPaYnJwchg8fTs+ePVm4cCFbtmxhxIgRfPHFF4XGHWZmZso4cyGEEJXKbX3TeOyxxzxdDyGEELfJbndwOSWzUNfw5Et/LM9lzi32PH1IAMY/xlwXjL+OjA6psEtl3Uxenh1Thpm8PDvBei216hnRhwTg7XN3P23yVDw/deoUEydOLLa3RIFPP/0UPz8/pkyZgkqlYvr06Xz77bfs2rWL3r17O49LTEykWrVqpKameqR+QgghRHlzO/GWJ9pCCFE+rBYbKQXLcl38cwbx1KSMmy7PFRYRlL8s1zWziBuj9Gi0lX8csy03j8wMMw6HQkhoABFRevShAajVN1+C5W7gyXj+/fff06ZNG8aPH0/z5s2LPe7QoUO0bNnSeWNHpVLRokULDh486Ey8v//+e77//numT5/O8OHDPVZHIYQQojzd1hPvL7/8kg0bNvDrr79it9upVasWzzzzDL169fJw9YQQ4u5jyjRf1zU8fx3sK5dvsTxXlP6PruF/JNlVQggv5+W5ykuu1UZmhhlUEGrQERGpJzhEe8s1T+82nornAwYMcOm41NRU6tatW2ibwWBwdk/Pzc1l5syZzJo1y+W1XYtz7dq3JTm/pOXcLaS9XCdt5bryaCu73e5cctHNqbDKVUFdK1Kdy8vttFXB58Futxf6PLrz2XQ78d66dSuLFi3imWeeYfjw4TgcDvbv38+cOXOw2Wz06dPH3SKFEOKu43AoXE3Lyn9qfSGd5EtXSb6Q/zQ7O8tS7HkFE4FduzRXZJWQO255rvJiteQn3Gq1ijBjEOHGYIKCNZJw30B5xHOz2VxkLLmvr69zWZpVq1bRqFEj2rdvz759+0p0rSNHjpTofE+Xc7eQ9nKdtJXryrqtvL29MZvNOBw37k12JzObzeVdhQrDnbayWq3YbDaOHz9+29dzO/HesGEDs2fPLnQ3/KGHHqJevXqsWbNGEm8hhLiGzWYnNSmD5EvXjL++eJXkSxnYcvOKPc8QHujsEh5Z5c9JznSBmjKsfcVhzsnFlGnGx0eNMSqY8MhgAoMq31h1TyqPeO7n5+dMsgvk5ubi7+/PiRMn2L59Ox999JFHrtWkSZMSz2p+5MiREpdzt5D2cp20levKo60sFgu///47Go2mws1qbjab0Wgk9t3K7bSVl5cXPj4+1K1bt8is5q7eGHI78U5LS7vh+K3Y2FguXbrkbnFCCFEpmHOszmW5/pxFPJ20lEwcjpstzxXsHHf95/jr4FJb1qqyycm2YjJZ8PPzJrpaKOHGILk54aLyiOdGo5HLly8X2nb58mUiIiL4/PPPycjIoEuXLsCf3fdiY2OZM2eO2xPBqdVqj3xR91Q5dwtpL9dJW7muLNtKrVajUqmcfyqailrv8uBOWxUcW5LPotuJd4MGDfjggw946aWXCm1///33i4zbEkKIykRRFDLSc0i+cJWkP2YNL3iKnZle/PJc/hrfQstyFYy/NoQHyiRft0FRFLKzrGRnWdBofKleMwxDeCABuorzZOJOUB7xvFmzZqxfvx5FUVCpVCiKwv79+3nhhRfo3LkzPXv2dB576NAhJk+ezAcffIDBYCiV+gghhBBlxe3Ee/LkyQwePJh9+/bRrFkzAA4ePMjx48dZs2aNxysohBBlzeFQSEnKIDUps/AkZ7dYnis4ROvsGn5tkh2s18rdZw9wOBSysyyYs61oAvyoVTeC0LBANFq/8q5ahVRW8Tw1NZXAwED8/f3p2rUrS5YsYf78+fTr14+tW7diNpvp1q0bWq0WvV7vPC8pKQmAGjVqeKwuQgghRHlxO/GOjY1l586dbN++ndOnT+Pn58e9997L0qVLiYqKKo06CiFEqci12ki+lOFMrJMvpnPpwlVSktJx2G/cPVylyp+0K/Lap9d/PM2WBLB0OBwKWSYz5pxcAnT+1KpnxBAehJ+/dMcvibKK5+3bt2fBggX07t0bnU7H2rVrmT17Ntu3bycmJoZ169ah1Wo9dj0hhLgTKYqC1WIrtfJ9/W5rsao70rlz51i6dCmvvfbaTY/Lzs4mLi6OU6dOoVKpmDt3Li1atCijWrrvtn5DderUYcyYMZw5cwYvLy9q1aqFRiNj6oQQd6Ysk/nP8dcX/kiyL6Vz5bKJ4laS8PFVY4z6M7EumOAszBiMj4+MySsLdruDrEwzFouNoGANVRtEExIaIOPfPag04vkvv/xy09dNmzbl/fffv2U5bdq0KXKuEEJURIqiMOG51/n50LlSu0bDZtWYu7xfqZVfli5evMiZM2duedyyZcuIjIxk+fLlnDhxguHDh/P5558XWT3jTuF24p2Tk8Ps2bP57LPPnBOf+Pj48MQTTzBjxowSr7sphBC3w+FQSL+Sdc3M4X92Ec8yFb88V4DOP/+JdZX8J9jhxiByrFdp0aoJPj6V5+5xRWLPs5OZYcZmsxMUrKF67QhCDAHy+/AwiedCCFF2VNwZQ8727dtHQkICvr6++Pj4sHnzZpYtW8aePXtwOBw0atSImTNnotVq+b//+z8SEhKw2WxoNBrmzp1LTExMsWWbTCbi4+M5evQoarWa/v37M3DgQM6dO0d8fDwpKSl4eXkxcuRIunbtSkpKCpMmTSIrKwtFUejTpw8DBgxgxowZpKSkMHbsWJYvX86wYcMYO3YsTZo0KXS9r7/+mtWrVwNQv359qlWrxt69e3nggQdKtQ1vl9vfYmbNmsUvv/zC66+/TuPGjXE4HBw5coT58+ezYMECZs2aVRr1FEIIAPLy8pfnuja5TrqQTkpSOrnW4pfnCg3T/Tlr+DXrYF8/A7bdbufECbOsiV0ObDY7powc7HYHwSEBGKP0hIQGoPaWHgalQeK5EEKUDZVKxZLXh5Z6V3NX16U+ffo033zzDeHh4bz33nukpKSwc+dOvLy8SExMZNWqVYwbN46xY8eydOlS2rRpw65du1ixYgUrV64sttxly5bh5+fHrl27MJlM9O/fny5dujB58mSeeOIJ+vbty6VLl+jTpw9169Zl9+7d3HPPPUybNo20tDQSEhLo168f8+bNY9GiRSxfvhyA9evX3/B6ycnJREZGOl8bjUbn/CB3IrcT76+//pq3336bRo0aObfdf//9JCQkMGzYMAnUQgiPMOfkOte+LugannThKpdvsjyXWl2wPNcf46+r6ImM0hMRpZfxwHcwW24emRlmFEUhJFRHRFQwwSEBMuN7KZN4LoQQZUelUuGvKb0u0EpxY+duoHr16oSHhwPw7bffcvToUZ544gkAbDYb1atX58SJE+h0Otq0aQNA165d6dq1603L3bdvH/Hx8ahUKoKCgvjkk0/Izs7mp59+4t133wUgKiqKBx54gL1799KuXTteeOEFzp49S/v27Zk2bRpeXq7H/hu9Z3fOL2tuJ94Gg4G0tLQi23Nzc9HpdB6plBDi7qAoCpnpOUW6hiddvErG1Zssz+Xvg7FKSP4M4tF/ziIeFhEkyVoFkmu1kZGeg5fai9AwHRGRwQTptXd00KxMJJ4LIcTdyd//z+U3HQ4Ho0ePpnfv3gBkZWWRl5dX5Mmxw+Hg5MmTN+1q7u1dOLU8e/YsoaGhRRJkRVHIy8ujefPmfPnll/z73//mv//9L2vWrGHHjh0uv4/IyEhSU1MJCgoCICUlBaPR6PL5Zc3txHvEiBFMnz6dESNGEBsbi7e3N8eOHWP58uU88cQT/PDDD85j7733Xo9WVghRMTkcDtJSTPndwq9Lss05xS/PFRSsJbLKdetfR4cQHCLLc1VkVouNzIwc1Go14ZHBRBjzE275nZYtiedCCCHatm3L9u3b6datG35+fkyfPp3o6GjGjx+P1Wpl//79tGjRgq+//pp169axffv2Ysu67777+PDDD2nZsiVZWVkMHjyYdevW0ahRI3bs2EHfvn1JTk5mz549/PWvf+W1117D29ubsWPH0qVLF77//nuSkpJQq9XOuUdupnPnzmzfvt05s/mvv/5auWY1nzFjBgDz5s0rsm/VqlWsWrUKyO9OcezYsRJWTwhRkeTm5pFyKZ2kC+kkX8ofe510MZ3UpHTy8hw3PEelUhEWEYgxOsS5LFfkH0+ztQGyPFdlYs6xkpVpwcfXm6joEMIig9EF+kvCXU4kngshhOjXrx8XL17kqaeewuFw0LBhQ8aOHYuvry/Lly8nISEBi8VCQEAACxcuvGlZL774InPnzqVnz54oisLIkSOpW7cuixcvJj4+nnfeeQeHw8GkSZNo1KgRYWFhTJkyhZ49e+Lt7c1DDz1EbGws6enpWK1WBg0axKZNm4qdXG3MmDHMmjWLRx99FJVKxaJFi+7oHltuJ97Hjx8vjXoIISqQLJOF5EvpJP8xg3jB0+ubLs/loybiuq7hxmg9EcZgfHxlturKSlEUzDm5mEwW/Py8ia5uIDwiiIBA/1ufLEqVxHMhhLj7tGnThp07dzpfq9VqJk+ezOTJk4sc26xZM7Zt2+Zy2TqdjkWLFhXZXq1aNV5//fUi241GI5s2bSqyXa/Xs2vXLufr4iZX0+l0t1zr+05yW992LRYL//znPzl9+jR2u53atWvTvXt39Hq9h6snhCgviqJwNS3rj67hhbuIZ2UWvzyXVueXP2N4dOEu4qFhgTJT+F1EURSys6zkZFnRaH2oUSsMQ3iQ9GK4w0g8F0II4SqLxULfvn1vuK9FixbMnj27jGtUsbideJ84cYLnn38etVpN48aNsdvtfPHFF6xYsYK3336bunXrlkY9hRClJC/PzuXkzD/HX1+4StKl/CT7ZstzhRh0fyTWfy7NZYwKQRckXYfvZg6HQrbJgjnHijbAj5r1IjCEBZbqTK7i9kg8F0II4Q5/f38+/PDD8q5GheV24j1//nzatWvH3LlznTPX5eXlMWPGDBISEti4caPHKymEKLlcax6//5pKalJmoSfYqSmZOOw3Hn/tpfYiwhiEscofT7Cj/hx/LctziWs5HA6yMi2YzbnoAv2pXT+S0LBA+ZzcwSSeCyGEEGXH7cT74MGDzJ49u9B08d7e3gwbNoynnnrKo5UTQrhHURRMGeZrluX6c/x1+pXsYs/z8/dxdg0vmOQsMjqEsIhA1N7qMnwHoqJxOBQyrmZjszkICtZSrWYYeoMOXxm3f8eTeC6EEEKUHbe/GYWHh3P27Flq165daPvZs2cJCAjwWMWEEMVzOBykpZr+7Bp+MZ3kS+kkXbh60+W5AoM1f46/vmYdbH1ogHQPF27Jy7OTfiULU7qFWrX8qF01lJBQHd4+cqOmopB4LoQQQpQdtxPvfv36MWPGDMaNG0fTpk0BOHToEMuXL6dPnz4er6AQd7P85bkynEtzFXQRT0nKIM924/UNVSoVhvDAP8Zc53cND48MwpR9mabNGqFWS2Ikbp/NZseUkYPdrhAUrKFqrRAaNK6Kr590Ka9oJJ4LIYQQZcftxPu5557DbDazePFiMjIyAAgLC2Pw4MEMHTrU4xUU4m6Qk20l6bqluZIvppOWmlns8lzePmqMUcGFuoYbo/VERBZdnstut3PiREYZvBNRWeXm5pGZngPkT6wXERmMLsgf65E01N5e5Vw7cTskngshhLgTnTt3jqVLl7q8VNh//vMf/va3v7Fjx45SrlnJuJ14f/LJJwwcOJAxY8aQlpaGn5/fHb1QuRB3CkVRSL+SXXj89YX8n02Z5mLP0wb4FR1/XSWE0DAdXl6S8IjSZbXYyMzIwUvthSE8kIgoPUHBGry8vLDbb9zrQlQMEs+FEKLsKIqC5SarxZSUn2/l6dF48eJFzpw5c8vjcnNzWbduHW+99RZVq1Yt/YqVkNuJ95w5c9i2bRt6vR6DwVAadRKiQrPn2UlNyST5QvqfS3T9MQbbarEVe54+NKDo+OsqegKDNDL+WpQ5izmXzAwzPj5qjFF6wo3BBAbLZ7EykXguhBBlQ1EUhs/dxuGTF0vtGk3rRbN0Qo9bHrdv3z4SEhLw9fXFx8eHzZs3s2zZMvbs2YPD4aBRo0bMnDkTrVbL//3f/5GQkIDNZkOj0TB37lxiYmKKLdtkMhEfH8/Ro0dRq9X079+fgQMHcu7cOeLj40lJScHLy4uRI0fStWtXUlJSmDRpEllZWSiKQp8+fRgwYAAzZswgJSWFsWPHsnz5coYNG8bYsWNp0qRJoev9+OOPXLlyhYSEBFavXl3iNixtbifebdq04eOPP+aFF17A11fWZRV3L6vF9kdSfbXQ36nJN1+eK9wYVHhprugQjFHBss6xuCPkZFvJyjTj6+9DdNUQwozB6AJlbfbKSOK5EEKUoTsojJ4+fZpvvvmG8PBw3nvvPVJSUti5cydeXl4kJiayatUqxo0bx9ixY1m6dClt2rRh165drFixgpUrVxZb7rJly/Dz82PXrl2YTCb69+9Ply5dmDx5Mk888QR9+/bl0qVL9OnTh7p167J7927uuecepk2bRlpaGgkJCfTr14958+axaNEili9fDsD69etveL22bdvStm1b9u3bVyrt5GluJ95paWmsXr2aNWvWEBoaip+fX6H9X331lccqJ0R5UxQFU6bZ2TX82hnEr6ZlFXuer583xj/GXV87/jrcGCTLc4k7jqIo5GRbyc6y4OfvQ9WaYYRFBBGg8y/vqolSJPFcCCHKhkqlYt2MvqXe1dxsLn7o4rWqV69OeHg4AN9++y1Hjx7liSeeAMBms1G9enVOnDiBTqejTZs2AHTt2pWuXbvetNx9+/YRHx+PSqUiKCiITz75hOzsbH766SfeffddAKKionjggQfYu3cv7dq144UXXuDs2bO0b9+eadOmVephlG4n3k8//TRPP/10adRFiHLjcDi4cjnLOcFZ8jVPsHOyrcWeFxikyU+wr+kaHhkdIstziQpBURSysyxkZ1nRBvhRvVY4YRFBaLR+tz5ZVHgSz4UQouyoVCo0/qW3AohS3Gy8N+Dv/+eNdYfDwejRo+nduzcAWVlZ5OXlkZSUVOgch8PByZMnb9rV3Nu7cGp59uxZQkNDi9RNURTy8vJo3rw5X375Jf/+97/573//y5o1a+74CdJKwq3E22Qy0a1bt0K/LCEqEltuHilJGX88wf6zi3jKpQxsxS7PBYbwIIxReoxV/nyKbYzWyxNBUSE5HArZJgs5OVYCdP7UrmckNCxQhjvcRSSeCyGEgPzu2tu3b6dbt274+fkxffp0oqOjGT9+PFarlf3799OiRQu+/vpr1q1bx/bt24st67777uPDDz+kZcuWZGVlMXjwYNatW0ejRo3YsWMHffv2JTk5mT179vDXv/6V1157DW9vb8aOHUuXLl34/vvvSUpKQq1WV8oJXF1KvFNTU5k8eTL79u1DpVLRtm1b5s2bR1RUVGnXT4jbkpNt/XP28AtXSb6UTtKFdNJSTcXeEfT2URMRGfxHUh3i7CoeERWMr6/bnUOEuOM4HA5MGWas1jx0gf7UvSeKUINO1uC+i0g8F0IIca1+/fpx8eJFnnrqKRwOBw0bNmTs2LH4+vqyfPlyEhISsFgsBAQEsHDhwpuW9eKLLzJ37lx69uyJoiiMHDmSunXrsnjxYuLj43nnnXdwOBxMmjSJRo0aERYWxpQpU+jZsyfe3t489NBDxMbGkp6ejtVqZdCgQWzatKnYydUqGpeyiddee420tDSWLFmCl5cX69evZ+rUqbz11lulXT8hiqUoClmZVo4fPU9qssk5/jrp4lVMGcWPcdFoff/sGv7HDOKR0XoM4YGVelyJuHvZ8+yYMi3k5uYRGKSheq1wQsJ0+PjIDaW7jcRzIYS4u7Vp04adO3c6X6vVaiZPnszkyZOLHNusWTO2bdvmctk6nY5FixYV2V6tWjVef/31ItuNRiObNm0qsl2v17Nr1y7n6+ImVytw/Xu6U7n0reubb77h9ddfp1GjRgDcc889dO/eHbPZjEajKdUKCmHPs3M5xVSoa3jBZGc3XZ4rJKBI1/DI6BBZEkncNfLy7JgyzOTl2QnWa6lVz4g+JABvH5ng724l8VwIIcTtslgs9O3b94b7WrRowezZs8u4RhWLS4l3ZmYmRqPR+bpmzZqo1WquXLlClSpVbvviVquVOXPm8Pnnn+Pv78/QoUMZOnToDY/97rvvSExM5Ny5czRr1oxZs2ZRu3ZtIP/J58aNG9m8eTOZmZl06dKFGTNmEBAQAEB2djYLFizgyy+/xNfXl2eeeYbhw4c7y37zzTdZsGBBoesNHTqUqVOn3vZ7E+6zWmx/dAn/o2v4H7OIpyZnYi9meS6VCsIjg52zhl+bZMt4VXG3suXmkZlhRlEU9CEBRETp0YcGoFZLj467XWnFcyGEEJWfv78/H374YXlXo8JyKfF2OBxFnhB6e3vjcNw4GXJVYmIiR48eZdOmTVy8eJGpU6cSHR1dZKr6kydPMmLECIYPH07Pnj157733GDRoELt27SIgIIBt27axcuVK56LuCxYsYOLEiaxZswaAmTNn8tNPP7Fq1SoURWHKlCn4+PgwZMgQAE6dOsWAAQMYNWqU85py57905HcPt5B86SpJF66d4MyF5bmu6RpujNITERnE1cxkGjS4B7VanuAJkWu1kZlhBhWEGnREROoJDtHKEArhVFrxvEBubi69e/dm5syZziVorvfzzz8ze/ZsTpw4Qd26dZkzZw6NGzcG8mPE+vXr2bp1K+np6TRp0oSZM2dSt25dj9RPCCGEKC8uJd4qlapIoC5pV92cnBx27NjB+vXradSoEY0aNeLkyZNs3ry5SOK9ZcsWYmNjGTduHACTJ09mz549fPTRR/Tr14933nmHIUOG0KNHDwAWLlxIx44d+fXXX9Hr9XzyySds2rSJli1bAjBp0iQSEhKciffp06fp1auXcz07UXIOh8KVyybn7OEFXcOTLl4lJ6v45bl0Qf75T6//WJrL+McTbH2oDi+vwp85u91OZnZqab8VIe54Vkt+wq1WqwgzBhFhDCZIr5UhFaKI0ojnBaxWKxMnTuTkyZPFHpOTk+O8ib5w4UK2bNnCiBEj+OKLL9BqtWzdupWNGzeyYMECatasyYYNGxg2bBiffvqp3BAXQpQpd5bnEpWfJz4PLiXeiqLw4osv4uPz58y3FouFSZMm4edXeL1XVydoOX78OHl5ecTGxjq3tWzZkjVr1uBwOAo9oTl37hxNmzZ1vlapVNSvX5+DBw/Sr18/Z/fzAhEREYSGhnLw4EHnXfJr98fExJCamsr58+epWrUqv/76KzVr1nSp3qIwm81OSlLButfpznWwUy6l33R5rtCwwCJdw43RIegCZWkbIVxlzsklK9OMt4+ayGg9YcYgAoNkDgNRvNKI55Dfc2zixIm3/GLy6aef4ufnx5QpU1CpVEyfPp1vv/2WXbt20bt3b95//32GDh3Kgw8+CEB8fDytW7dm//79tGvXzo13KoQQt8fHxweVSkVqairh4eEVJqYqioLVasXLy6vC1Lm8uNtWiqKQmpqKSqUqFD/d5VLiPXr06CLbWrdufdsXhfwlTUJCQvD1/XMcblhYGFarlfT0dEJDQwttT05OLnR+UlISwcHBABgMhkL7c3JyyMjI4OrVqxgMBgCSk5OdyfWlS5cAuHr1Kv7+/qSnp/P+++8TFxeHn58fTz31FEOHDnX7Q+uJ9eYKyvBUtz9PMefkOp9aJ1+6SsrFDJIupZOWUvzyXGpvLyIig/PXv47WO/+OiAzG1+/GHz132rCgje60troTSVu5riK0VU62lWyTBT9/H4xV9IRFBDlvWpVlvQv+vVbGtTY9zZNtVZIySiOeA3z//fe0adOG8ePH07x582KPO3ToEC1btnTGV5VKRYsWLTh48CC9e/dmypQpVK1a1Xm8SqVCURRMJlOJ6yiEEK5Qq9VUrVqV8+fPc+bMmfKujssURcFmszlvHIji3U5bqVQqqlatWqLhrbedeJeU2WwulHQDzte5ubmFtnfr1o1Ro0bRo0cPOnTowEcffcSRI0ec48e6d+/O2rVradmyJVWrVnWuMWez2ahSpQrNmzdn/vz5vPrqq9hsNlauXOnc/+uvvwL5yfvf//53jh07xrx581Cr1QwePNit93TkyBG32+F6mekWIP/pQVlTFIVsUy5X03K4ejnnz78vm8nJzi32PF8/NSEGLSFhf/z54+cgvf913cPt5FjTOPN7mkfrXR5tVVFJW7nuTmsrRVGwmvMwm234+nujD9Hg5e9PuimLdNPFcq2bJ/7vu1uUd1uVRjwHGDBggEvHpaamFhmvbTAYnN3TW7VqVWjfjh07yMvLcw4Vc0dJb3LIjSX3SHu5TtrKdeXVVhqNhtq1a2OzFb96zp3Gbrdz8uRJatWqJXMf3cLttJWPjw9qtbrIZ9Gdz2a5LeLq5+dXJMEueO3vX7i7cceOHXnxxRcZM2YMdrudNm3a8Pjjj5OVlT8Z16hRozh37hyPPvoo3t7e9OvXj3vuuQedTgfkT+I2duxY7rvvPgIDA5kwYQIHDhxAp9NRv359/ve//xESEgLkd0O/cuUKW7ZscTvxbtKkSYk/6ClJ6Zw/s5e6deuW2oRIdruDtFTTn0+w/+gannwpHYu5+P9ggvXaP7qE//n02hitJ6icludyOBycOnWqVNuqspC2ct2d1lYOh0JOloWcnFy00X5ERAZjCA+8I2btt9vtHDlyxCP/91V2nmyrgrIqouJuul//fQDyn44vWrSI55577rbmYPFUG1XUti4v0l6uk7ZynbSV6242z4YorKzbqtwSb6PRyNWrV8nLy8PbO78aqamp+Pv7ExQUVOT4kSNH8txzz2EymTAYDIwbN8659IlWq2XZsmWYTCZUKhU6nY62bds699eoUYMPP/yQtLQ0AgMDOXv2LF5eXkRHRwM4k+4CderUKdK13RVqtbrEX6gKzvfy8ipxWVaLjZRLfybXBTOIpyZlFLs8l5eXirCIIOf4a2O0nsgqIRijgtFo/W54TnnzRFvdLaStXFfebeVwOMgyWbCYc9Hq/Kl3TxihYYH4+d/+2KLS4on/++4Wd3tbFXfT/fob7gcOHGDYsGF07NjRObGqu0p6k0NuLLlH2st10lauk7ZynbSV68rrZni5Jd4NGjTA29ubgwcPOruW/fjjjzRp0qTIU6aPP/6YQ4cOMX36dAwGAxaLhX379jm7lCcmJlKvXj2eeOIJAA4fPozJZCI2NhaHw8Hzzz/P1KlTiYmJAWDPnj00bNgQnU7Hjh072LBhA7t27XI+tT127JhzjfCKwJRpLjx7+B/rYF+5XPzyXD6+3s6Zw/9cA1tPmDEYHx/5xypEebHbHZgyzVgtNoKCNVStEU2IQYevb7n9dy2ExxiNRi5fvlxo2+XLl4mIiHC+3rdvHy+88ALt2rVjyZIlt93zxFM3Oe72myXukvZynbSV66StXCdt5bqybiu3v8lt2LCBHj16EBkZWaILazQaevXqRXx8PAkJCaSkpDiXEIH8p9+BgYH4+/tTs2ZN4uLiuPfee6lfvz6vvvoqUVFRdOzYEcifxXzlypXUqVMHLy8vJk+eTP/+/dHr9UB+1/UlS5Ywbdo0Tp06xapVq0hMTATg/vvvZ8GCBSxatIj+/ftz9OhR1q9fz9y5c0v0/jzN4VC4mpaV/9T6Qv4EZ8kX8p9mZ2dZij1PF+jv7BJeMIN4ZJWQGy7PJYQoP/Y8O5kZZmw2O0HBGmrUjiDEEICPjyTconR4Kp67o1mzZqxfvx5FUZwTp+3fv58XXngBgBMnTjBy5Eg6dOjAa6+95uwRJ4QQQlR0bke0NWvW8Mgjj3jk4nFxccTHxzNo0CB0Oh1jxozh4YcfBqB9+/YsWLCA3r1707hxY+Lj41m4cCHp6em0bduWtWvXOu+CDxw4kAsXLjBs2DC8vLx4/PHHmTRpkvM6c+bMYebMmTzxxBMYDAZmzJhBly5dAKhSpQrr1q3j1VdfZcuWLRgMBiZNmkT37t098h7dZbPlkZ6Ww8EffiPlUsYf3cSvknwpA1tuXrHnhYbprusanv80Wxco654KcSez2eyYMnKw2x0EhwTkr1sfEoDaW+5Wi9LlyXh+M9feSO/atStLlixh/vz59OvXj61bt2I2m+nWrRsAs2bNIioqiri4OK5eveoso+B8IYQQoqJyO/Hu0aMHf//73xk+fDjR0dFFJklxh0ajYdGiRSxatKjIvl9++aXQ6yeffJInn3zyhuWo1WqmT5/O9OnTb7g/PDycNWvWFFuPVq1asW3bNjdqXjounEtj7LPrycq0AD8V2a9WexERlb88V2R0CMaCbuJRwfj63XnjPoUQxbPl5pGRngNASKiOiKhggkMCUKvLf0I3cXfwZDy/mWtvpOt0OtauXcvs2bPZvn07MTExrFu3Dq1WS2pqKgcOHADgL3/5S6EyCs4XQgghKiq3E+9vv/2Wixcv8v77799w/7Fjx0pcqbuVw66QZ3Pg4+NFdDUDkVVCnE+xjdH5a/XKl3IhKrZcq42M9By81F4YwgOJiAwmSK+9I2ZQF3eX0orn1984v/5106ZNb3jN8PDwIscKIYQQlYXbiXfBhGbC86rVDGPttpF8/tl/aH1fc5kYQYhKxGLOxZRpRq1WEx4ZTIQxP+Euj6X4hACJ50IIIURZcjvxbt26NQBZWVmcPXuWunXrkpub61wzW5SMl9pLvogLUYmYc6xkZVrw8fUmKjqEsMhgdIH+8u9clDuJ50IIIUTZcTvxzs3N5ZVXXmHnzp0A7N69m0WLFmE2m3nttdcIDg72eCWFEKIiURQFc07+E25/jQ/R1Q2ERwQRECiTQ4k7h8RzIYQQouy4PagwMTGRU6dO8f777+Pn5wfAmDFjuHr1KvPmzfN4BYUQoqJQFIUsk5mUpAzseXZq1A6nYdPq1KwTIUm3uONIPBdCCCHKjttPvD///HNWrVpFTEyMc1tMTAxz585l6NChHq2cEEJUBA6HQrbJgjnHijbAj1r1jBjCAvHXlM4s0UJ4gsRzIYQQouy4nXhnZ2ej0RRdG9rhcGC32z1SKSGEqAgcDgdZmRbM5lx0gf7Urh9JaFggfv6yvJ+480k8F0IIIcqO213NO3XqxNKlS8nKynJuO3fuHPPmzeOBBx7waOWEEOJOZLc7SL+aTWpyJj6+3tRvEE3DZtWJqhoqSbeoMCSeCyGEEGXH7cR71qxZeHl50bp1a8xmM08++SQPP/wwQUFBzJgxozTqKIQQd4S8PDtX07K4ctmERuNLTKMqNGxajYgoPb6+bncgEqJcSTwXQgghyo7b3xQDAwNZsWIFZ8+e5ddffyUvL49atWpRp06d0qifEEKUO5vNjikjB7tdQR+qxRilRx8SgNpbXd5VE+K2STwXQgghyo7biXfnzp35xz/+QfXq1alevbpze3JyMr169WLv3r0eraAQQpSX3Nw8MtNzAAgx6DBG6QnSa1Gr3e4sJMQdR+K5EEIIUXZcSrx37drFv/71LwAuXLjAK6+84lx6pMCFCxdQq+XpjxCi4rPl2rmckom3jzeG8EAiovQEBWvw8pKEW1RsEs+FEEKI8uHSt8jWrVsXeq0oSpFj6tWrx+rVqz1TKyGEKAcWcy6XkzOwWvIwRulp2KQa9RpEow8JkKRbVAoSz4UQQojy4dIT79DQUBYsWABAlSpVGDp0KFqttlQrJoQQZSUn20pWphlffx+iqhrAx0Tt+pHy1E9UOhLPhRBCiPLh9hjv0aNHc+XKFY4dO4bD4QDy75jn5uby888/M3z4cI9XUgghPE1RFHKyrWRnWfDz96FqzTDCIoLw1/iQnnWxvKsnRKmTeC6EEEKUHbcT7+3bt/PKK6+Ql5eHSqVydlNTqVQ0bdpUArUQ4o6mKArZWRays6xoA/yoUTsCQ3ggGm3+OFe73V7ONRSibEg8F0IIIcqO24MW16xZwwsvvMDhw4cxGAx88803fPzxxzRo0IAuXbqURh2FEKLEHA6FzIwcUpIyABW16xlp2LQaVWuEOZNuIe4mEs+FEEKIsuN24p2SkkKvXr3w9fWlUaNGHDx4kLp16zJt2jR27NhRGnUUQojb5nA4yLianT9LubeauvdE0ahZNaKrGfDX+JZ39YQoNxLPhRBCiLLjduIdGhrKlStXAKhduzbHjh0DwGg0kpyc7NnaCSHEbbLn2Um/ks3lFBO+/j7UuyeKhs2qERkdgq+fT3lXT4hyJ/FcCCGEKDtuJ97dunVj6tSp7N+/nw4dOrBz5052797NqlWrqFGjRmnUUQghXJaXZ+fKZRNX0rLQ6vyIaVSFhk2qERGlx8fH7WkthKi0JJ4LIYQQZcftb6GTJk0iMDCQq1ev0rlzZ5588klmz56NXq93LlEihBBlzZabR2aGGUVR0IcEEBGlRx8agFot628LcSMSz4UQQoiy43bi7ePjw+jRo52vx48fz/jx4z1aKSGEcFWu1UZmhhlUEGrQERGpJzhEi5eXJNxC3IzEcyGEEKLs3Fa/yx9//JFNmzbx+++/s2bNGj766COqVKnCo48+6un6CSHEDVkt+Qm3Wq0izBhEhDGYIL0WlUpV3lUTosKQeC6EEEKUDbcfCX3++ecMHz6cKlWq8Ntvv5GXl4e3tzcvv/wy7777bmnUUQghnMw5uaQmZWDOySUyWk+DptWoGxNFcEiAJN1CuEHiuRBCCFF23E68V65cSXx8PFOnTkWtVgMwdOhQEhISeOONNzxeQSGEAMjJtpKclIHVaiO6uoEGTatSu34kQcHylFuI2yHxXAghhCg7bifev//+O82bNy+yvWnTprL8iBDCoxRFIctkIflSOnk2O9VrhtGoWXVq1olAF6gp7+oJUaGVRjzPzc2lR48e7Nu3r9hjfv75Z/r06UOzZs148sknOXr0aKH9H3/8MQ899BDNmjXjxRdfdC55JoQQQlRkbifedevW5d///neR7e+//z5169b1SKWEEHc3h0PBlGkmNSkDRVGoVTeCRs2rU71WONoAv/KunhCVgqfjudVqZcKECZw8ebLYY3Jychg+fDitWrVi586dxMbGMmLECHJycgA4fPgw06dPZ/To0Wzbto3MzEzi4uLcrosQQghxp3F7crW4uDheeOEF/ve//2Gz2VizZg2///47R48e5e9//3tp1FEIcZdwOBxkmSxYzLlodf7Urh9JaFggfv4+5V01ISodT8bzU6dOMXHiRBRFuelxn376KX5+fkyZMgWVSsX06dP59ttv2bVrF7179+add96hW7du9OrVC4DExEQefPBBzp07R7Vq1W73rQohhBDlzu3Eu1WrVnz22WfOiVfS09Np3rw5iYmJREdHe7yCQojKz253YMo0Y7XYCArWULVGNCEGHb6+t7XwghDCBZ6M599//z1t2rRh/PjxN+y+XuDQoUO0bNnSOS+DSqWiRYsWHDx4kN69e3Po0CGGDRvmPD4qKoro6GgOHTpU5om3oijkWvOwmHOdY+BF8ex2u7SXi6StXCdt5TppK9fZ7fZb3iguDbf1rTY8PJxx48Z5ui5CiLuMPc9OZoYZm81OULCGGrUjCDEE4OMjCbcQZcFT8XzAgAEuHZeamlqkG7vBYHB2T09JSSEiIqLI/qSkJLfrZLfb3T6ngKIoTHr+DY4dOQ98etvl3J2kvVwnbeU6aSvXSVu5onqdEFa+3aTE5bgTa9z+dmsymVi/fj3Hjx/HarUWuVvw1ltvuVukEOIuY7PZMWXkYLc70IcGYIzSow8JQO0td2iFKCvlEc/NZjO+vr6Ftvn6+pKbmwuAxWK56X53HDly5LbrqSiKc9y5EEKIysdhVzhy5EiZrozjduI9ZcoUfvrpJ7p160ZgYGBp1EkIUUnl5uaRmZ6DSqVCHxJARFQwwSEBqNVuz/MohCih8ojnfn5+RZLo3Nxc/P39b7pfo3F/FYMmTZqUqLvlireb8MO+/dSPuUe6bbrAbrdz7OefadCwobTXLUhbuU7aynXSVq6z2+389ttJmjZtWuK2stvtLt/odTvx3rt3L2+99RZNmzZ1u2JCiLuT1WIjMyMHL7UXhvBAIiKDCdJr8fKShFuI8lIe8dxoNHL58uVC2y5fvuzsXl7c/vDwcLevpVarS/yFShPgiyEsSL7EusBut6ML8pf2coG0leukrVwnbeU6u93OufNqj8QJd7j9rTc8PFx+mUIIl1jMuaQmZ5CdZSU8MpgGjatSr0E0+lCdJN1ClLPyiOfNmjXjwIEDzm7tiqKwf/9+mjVr5tz/448/Oo+/dOkSly5dcu4XQgghKiqXnnhfvHjR+fNf//pXZsyYwZQpU6hatWqRoC0zmwshzDlWsjIt+Ph6ExUdQlhkMLpA/zIdRyOEKKo84nlqaiqBgYH4+/vTtWtXlixZwvz58+nXrx9bt27FbDbTrVs3APr378/AgQNp3rw5TZo0Yf78+fzlL3+RpcSEEEJUeC4l3p06dXJ+YS64Sz1kyBBUKhWKohT6+9ixY6VXWyHEHUtRFMw5uZgyzfhrfIiubiA8IoiAQP/yrpoQ4g/lEc/bt2/PggUL6N27NzqdjrVr1zJ79my2b99OTEwM69atQ6vVAhAbG8srr7zC8uXLycjIoF27dsydO9cj9RBCCCHKk0uJ91dffVXa9RBCVFCKopCdZSE7y4pW60uN2uEYwoPQBviVd9WEENcpi3j+yy+/3PR106ZNef/994s9v3fv3vTu3btU6iaEEEKUF5cS7ypVqgCQlZWFVlt4QqRffvmF6OhomeFciLuMw6GQbbJgzrGiDfCjVj0jhrBA/DW+tz5ZCFEuJJ4LIYQQ5cPl2Y3eeOMNOnbsyMGDBwttX7RoEe3bt+ftt9/2dN2EEHcgh8NBZnoOqckZqL29qBMTRcNm1alSzSBJtxAVgMRzIYQQouy59MT7ww8/ZNmyZUyaNIlGjRoV2rdq1Sree+89lixZgsFgoHv37qVSUSFE+bLbHZgyzFitNoKCtVSrGYbeoMPX1+1VCYUQ5UTiuRBCCFE+XHrivWnTJqZPn84zzzyDn1/hcZsajYaBAwcyduxYXn/9dbcubrVamTZtGq1ataJ9+/Zs3Lix2GO/++47HnvsMWJjYxk8eDC//vqrc5+iKLz++ut06tSJVq1aERcXR3Z2tnN/dnY2M2bM4L777qNjx46sW7euUNlXr15lzJgxxMbG0qlTJz788EO33ocQlVlenp2raVlcuWxCo/UlplEVGjatRkSUXpJuISqY0ornQgghhLg5lxLv3377jfvuu++mx3Tq1KlQMuyKxMREjh49yqZNm5g9ezYrV65k165dRY47efIkI0aMoHPnzvzjH/+gYcOGDBo0yJlcb9u2jZUrVzJhwgS2bNlCcnIyEydOdJ4/c+ZMfvjhB1atWsVrr73G1q1beeONN5z74+LiMJlMbNu2jZEjRzJjxgwOHz7s1nsRorKx2excuWzialo2uiB/YhpVoUGTqoQbg/H2Kdu1f4UQnlFa8VwIIYQQN+fS46qgoCCuXLly03U0MzMzCQgIcPnCOTk57Nixg/Xr19OoUSMaNWrEyZMn2bx5M127di107JYtW4iNjWXcuHEATJ48mT179vDRRx/Rr18/3nnnHYYMGUKPHj0AWLhwIR07duTXX39Fr9fzySefsGnTJlq2bAnApEmTSEhIYMiQIZw9e5ZvvvmGr776iqpVq1K/fn0OHjzIu+++S9OmTV1+P0JUFrm5eWSm5wAQYtBhjNITpNeiVrs8JYQQ4g5VGvFcCCGEELfm0jfpjh073rLb2euvv06rVq1cvvDx48fJy8sjNjbWua1ly5YcOnQIh8NR6Nhz584VSoJVKpUzQS7Y36xZM+f+iIgIQkNDOXjwIOfPnwcotD8mJobU1FTOnz/PoUOHiIqKomrVqoXqceDAAZffixCVgdViIzUpg6xMM4bwQBo0rUb9htGEGHSSdAtRSZRGPBdCCCHErbn0xPvFF1/kySef5Pnnn2fIkCE0btyYwMBAMjIy+Omnn3jzzTc5cuQI7777rssXTk1NJSQkBF/fP2dBDgsLw2q1kp6eTmhoaKHtycnJhc5PSkoiODgYAIPBUGh/Tk4OGRkZXL16FYPBAEBycjI1a9YE4NKlS0D+2O7U1FQiIiIKlX19ea6y2+1un1NcGdfffBBFFbSRtNWt3aytLOZcsjLNePt4Ex4ZRFhEEIHBGlQqFYqieORzXZEUvN+77X3fDmkr13myrUpSRmnEcyGEEELcmkuJd2RkJJs3b2bOnDk8//zzRfa3a9eOd999lzp16rh8YbPZXCjpBpyvc3NzC23v1q0bo0aNokePHnTo0IGPPvqII0eO0KZNGwC6d+/O2rVradmyJVWrVmXhwoUA2Gw2qlSpQvPmzZk/fz6vvvoqNpuNlStXOvcXV4/r6+CKI0eOuH3O9TLTLQCcOnWqxGXdLaStXHdtW1kteZhzbPj4qAnU+6EP1ZKZk03mmaRyrOGdwxP/nu8W0lauK++2Ko14LoQQQohbc3lK4po1a/LGG2+QnJzM8ePHMZlM6PV6GjZsWOjptKv8/PyKJLcFr/39/Qtt79ixIy+++CJjxozBbrfTpk0bHn/8cbKysgAYNWoU586d49FHH8Xb25t+/fpxzz33oNPpgPxJ3MaOHct9991HYGAgEyZM4MCBA+h0umLrcX0dXNGkSRPU6pJNOpWSlM75M3upW7cuXl7SvfdmHA4Hp06dkrZyQUFb1alTB4vZRk5WLn4RPoQZgwiPCEKr87t1IXcJu93OkSNHPPLvubKTtnKdJ9uqoKzb5el4LoQQQohbc3stIKPRiNFoLPGFjUYjV69eJS8vD2/v/Gqkpqbi7+9PUFBQkeNHjhzJc889h8lkwmAwMG7cOKpUqQKAVqtl2bJlmEwmVCoVOp2Otm3bOvfXqFGDDz/8kLS0NAIDAzl79ixeXl5ER0djNBq5fPlyoWtdvnyZ8PBwt9+TWq0u8ReqgvO9vLzki6yLpK1uTVEUzDk20lKz0AVqqFXPiCE8EI1WEu7ieOLf891C2sp1d1JbeSqeCyGEEOLWyu0xYYMGDfD29nZOkAbw448/0qRJkyJPLz/++GPmz5+Pr68vBoMBi8XCvn37nF3NExMTef/99wkMDESn03H48GFMJhOxsbE4HA6GDh3KL7/8gsFgwNfXlz179tCwYUN0Oh3NmzfnwoULJCUlFapH8+bNy6IZhChVDodCZkYOqUmZqIBa9Yw0bFqNqjXCJOkWQgghhBCijJRb4q3RaOjVqxfx8fEcPnyYL7/8ko0bN/Lss88C+U+/LZb88c41a9Zk69atfP7555w5c4aJEycSFRVFx44dgfxZzFeuXMnhw4c5evQokydPpn///uj1ery8vPD392fJkiWcOXOGL7/8klWrVvHCCy8AUK1aNdq3b8/kyZM5fvw4O3bs4OOPP+avf/1r+TSMEB7gcDjIuJrN5ZRMvL3V1L0niup1Q4muGoq/xvfWBQghhBBCCCE8xu2u5p4UFxdHfHw8gwYNQqfTMWbMGB5++GEA2rdvz4IFC+jduzeNGzcmPj6ehQsXkp6eTtu2bVm7dq3zyfjAgQO5cOECw4YNw8vLi8cff5xJkyY5rzNnzhxmzpzJE088gcFgYMaMGXTp0sW5PzExkenTp/P0008THh5OQkKCrOEtKiR7nh1TpoVcax5Beg3Va0cQYgjAy0vFpZQ7o3urEEIIIYQQdxu3E+9nn32WlStXFhmHfeXKFZ5//nl27tzpclkajYZFixaxaNGiIvt++eWXQq+ffPJJnnzyyRuWo1armT59OtOnT7/h/vDwcNasWVNsPQwGw033C3Gny8uzk5meg93hIFgfQK16RvQhAXj75CfbstyTEOJ6noznQgghhLg5lxLvb7/9lsOHDwPwww8/sGbNGrRabaFjfv/9dy5cuOD5GgohimXLzSMzw4yiKOhDAoiI0qMPDUCtllnehRBFSTwXQgghyodLiXetWrXYsGEDiqKgKAr79+/Hx8fHuV+lUqHVapk/f36pVVQI8adcq43MDDOoINSgIyJST3CIVpZVE0LclMRzIYQQony4lHhXq1aNt956C8gflz19+nTnGtlCiLJjtdjIzMhBrfYizBhEhDGYIL0WlUpV3lUTQlQAEs+FEEKI8uH2GO8FCxYA+bOO5+XloShKof3R0dGeqZkQwsmck0tWphkfX28io0MIMwYRGKSRhFsIcdskngshhBBlx+3E+z//+Q8zZ87k0qVLACiKgkqlcv597Ngxj1dSiLtVTrYVk8mCn5830dUNhEUEogvUlHe1hBCVgMRzIYQQouy4nXi/8sorNG3alL///e/SPU2IUqAoCtlZVrKzLGg0vlSvGUZYRBDaAL/yrpoQohKReC6EEEKUHbcT76SkJDZs2EC1atVKoz5C3LUcDoXsLAvmbCvaAD9q1TNiCAvEX+Nb3lUTQlRCEs+FEEKIsuP2FMitWrXixx9/LI26CHFXcjgcZKbncDklA5WXitr1I2nYrDpVqhkk6RZClBqJ50IIIUTZcfuJ97333sucOXPYs2cPNWrUKLQMCcDo0aM9VjkhKjO73YEp04zVYiMoWEPVmtGEGHT4+rr9z1IIIdwm8VwIIYQoO7c1uVrjxo1JS0sjLS2t0D6ZYVmIW7Pn2cnMMGOz2QkK1lCjdgQhhgB8fCThFkKUHU/Hc6vVypw5c/j888/x9/dn6NChDB069IbHfvfddyQmJnLu3DmaNWvGrFmzqF27NpA/z8XKlSvZsWMHZrOZdu3aMWvWLEJDQ91/k0IIIcQdwu1v+m+//XZp1EOISs9ms2PKyMFud6APDcAYpUcfEoDaW13eVRNC3IU8Hc8TExM5evQomzZt4uLFi0ydOpXo6Gi6du1a6LiTJ08yYsQIhg8fTs+ePXnvvfcYNGgQu3btIiAggG3btvHee++xePFi9Ho98fHxTJ8+nb///e8era8QQghRlm7rEduxY8c4efIkDocDyL87nZuby88//8ycOXM8WkEhKrrc3Dwy03MACAnVEREVTHBIAGq121MsCCGER3kqnufk5LBjxw7Wr19Po0aNaNSoESdPnmTz5s1FEu8tW7YQGxvLuHHjAJg8eTJ79uzho48+ol+/fvzrX/+ie/futG7dGoDnn3+eiRMneugdCyGEEOXD7cR75cqVrFy5krCwMNLS0jAajVy+fBm73U6XLl1Ko45CVEhWi43MjBy81F4YwgOJiAwmSK/Fy0sSbiFE+fNkPD9+/Dh5eXnExsY6t7Vs2ZI1a9bgcDgK/b937tw5mjZt6nytUqmoX78+Bw8epF+/fuj1evbs2cPgwYMJDg7mk08+oUGDBiV/w0IIIUQ5cjvx3rZtG3PmzKFv37506tSJTZs2ERwczPjx46levXpp1FGICsVizsWUaUatVhMRFUyEUU9gsEbmQBBC3FE8Gc9TU1MJCQnB1/fPlRjCwsKwWq2kp6cXGp8dFhZGcnJyofOTkpIIDg4G4MUXX2TkyJF07NgRtVpNeHg427Ztc/v92e12t8+50fklLeduIe3lOmkr10lbuU7aynWebCt3ynA78b569SodOnQAoEGDBhw4cIDHHnuM8ePHM3bsWCZNmuRukUJUCuYcK6YMM75+PkRFhxAWGYwu0F8SbiHEHcmT8dxsNhdKugHn69zc3ELbu3XrxqhRo+jRowcdOnTgo48+4siRI7Rp0waACxcu4O/vz5o1awgKCiIxMZFp06axceNGt97fkSNH3Dq+tMu5W0h7uU7aynXSVq6TtnJdWbeV24m30Wjk3LlzREdHU6dOHX7++Wcee+wxdDodV65cKY06CnHHUhSFnGwrWSYL/hofqtYMIyw8iIBA//KumqiA7HY7NputvKvhsoK7vBaLBbVaJgm8mdtpKx8fn1JtV0/Gcz8/vyIJdsFrf//C/x927NiRF198kTFjxmC322nTpg2PP/44WVlZKIrC1KlTmTJlCg8++CAAf/vb33jwwQc5dOgQzZo1c7lOTZo0KVH72e12jhw5UuJy7hbSXq6TtnKdtJXrpK1c58m2KijLFW4n3n369GHChAkkJCTw0EMPMXjwYCIiIvjvf//LPffc43ZlhaiIFEUhO8tCdpYVrdaXGrXDMYQHoQ3wK++qiQoqKyuL8+fPoyhKeVfFZYqi4O3tze+//y49O27hdtpKpVJRtWpVdDpdqdTJk/HcaDRy9epV8vLy8PbO/2qRmpqKv78/QUFBRY4fOXIkzz33HCaTCYPBwLhx46hSpQpXrlzh0qVLxMTEOI+NiooiJCSECxcuuJV4q9Vqj3z59FQ5dwtpL9dJW7lO2sp10lauK+u2cjvxfuGFF4iMjESj0dC0aVPi4uLYunUrer2ehISE0qijEHcMh0Mh22TBbM5Fq/WlVj0jhrBA/DW+tz5ZiGLY7XbOnz+PVqslPDy8wiSxiqJgNpvRaGQOg1txt60URSE1NZXz589Tr169Uvli4Ml43qBBA7y9vTl48CCtWrUC4Mcff6RJkyZFJpT8+OOPOXToENOnT8dgMGCxWNi3bx8LFy4kODgYX19fTp8+TZ06dQC4cuUK6enpVK1a1TNvXAghhCgHt7WcWK9evZw/9+nThz59+niqPkLckRwOB1mZ+Ql3YJCGOjGRhBp0+Pr5lHfVRCVgs9lQFIXw8HA0Gk15V8dliqLgcDjw95e5DG7ldtoqPDycM2fOYLPZSu2OvKfiuUajoVevXsTHx5OQkEBKSgobN25kwYIFQP7T78DAQPz9/alZsyZxcXHce++91K9fn1dffZWoqCg6duyIl5cXvXv3ZtGiRYSEhBAcHMyiRYto1qwZTZo08cRbFkIIIcqF24m3zWbjgw8+4MiRI+Tl5RXpFlkQZIWoDOx2B6YMM7m5eQQGaahWMwy9QYev723dsxLipiR5Fdcq7c+Dp+N5XFwc8fHxDBo0CJ1Ox5gxY3j44YcBaN++PQsWLKB37940btyY+Ph4Fi5cSHp6Om3btmXt2rXOJ+PTpk3jb3/7GxMnTsRqtXL//ffz6quvyr8PIYQQFZrb2cP06dP5/PPP6dChQ6mNOxOivOXl2TFlmMnLsxMUrKVm3QhCQnV4+8iYGSFE5eDpeK7RaFi0aBGLFi0qsu+XX34p9PrJJ5/kySefvGE5fn5+TJ06lalTp5a4TkIIIcSdwu3E+4svvmDVqlW0a9euNOojRLmy2eyYMnKw2xX0oVqMUXr0IQGovSXhFmWvU6dOXLhwwflapVIRFBREy5YtmTVrFlFRUeVYu8LOnz9P586d+eqrr244Fnfnzp2sXLmSr7/+usTXysrK4ssvv3R2k+7UqROjR4+md+/eJS77Rk6dOsWqVavYt28fZrOZmJgYRo4cyQMPPFDisnNzc/nggw94+umnPVBT90g8F0IIIcqO160PKSwwMBCj0VgadRGi3OTm5nE5JZOMq9noQwNo0KQqMY2qYggPkqRblKtp06bx3Xff8d133/Gvf/2LpUuXcvLkyQr3NLB79+689957HinrzTff5B//+Ifz9XvvvUf37t09Uvb19u/fT58+fQgMDGT9+vW8//77dOrUiVGjRvHZZ5+VuPxPPvmENWvWeKCm7pN4LoQQQpQdtxPvkSNHMn/+fE6fPk1eXl5p1EmIMmO12EhNyiAr04whPJAGTatRr0E0IQYdarXb/zyE8LjAwEDCw8MJDw/HaDTSrl07xo4dy759+zCZTOVdPZf5+/sTGhrqkbKuH4scGhpaZK1oT10nLi6O7t2788orr9CoUSNq1qzJ8OHDGThwIImJic71uUtyjfIi8VwIIYQoO25nFuvXr+eHH36gR48eNGnShAYNGhT6I0RFYM7JJSUpg5xsK8ZoPQ2a5Cfc+pCAIkvfCHGn8fXNX76u4LOamZnJ5MmTadGiBe3bt2fu3LlYLBbn8YcPH6Z///40a9aMRx55hE8++cS578CBA/Tv35/mzZvTqVMntmzZ4tz38ssv8+qrr/LSSy/RrFkzunfvzs8//8zSpUtp1aoVDzzwAF988UWhuu3atYuOHTvSokULZs2aRW5uLpDf1bxTp04A7Nu3j06dOvHuu+/SoUMHmjdvzuTJk53HKorCmjVr6NSpE40bN6Z9+/asXLnSWc7KlSv5/vvvnWs9d+rUiZ07dwL5KxBs2LCBzp0707RpUwYOHFhofHFMTAwffvghPXr0oHHjxgwYMIBz587dsJ3379/PmTNnGDp0aJF9w4cPZ8WKFc7fwenTp3nuuedo0aIFHTp0YOXKlTgcDufvZ8yYMXTs2JHWrVszadIksrKy2LdvH3FxcVy4cIGYmBjOnz9/k9+650k8F0IIIcqO22O8Fy5cWBr1EKJM5GRbyco04+vvQ3TVEMIjg9EFVpzlm4Q4e/Ys69ato0OHDgQEBAD5k2TZbDa2bNmC1Wpl3rx5vPLKKyQkJJCWlsbQoUN57LHHmD9/PgcPHmTq1KnUqVMHHx8fBg0axODBg5k/fz6HDh1izpw5hIWF0aVLFwA2bdrEtGnTGD9+PHFxcQwaNIhHHnmEbdu28fbbbzN//nx69uzprN/27dtZunQpdrudKVOmsHbtWsaMGVPkfaSkpLB79242bNhASkoKo0eP5t577+Xpp5/mgw8+YNOmTbz22mtUq1aNf//738THx/Pggw/SvXt3Tp48yYEDB1ixYkWRcletWsWWLVuYO3cuNWvWZP369Tz//PPs3r0brVYLwIoVK5g7dy4Gg4Fx48bxt7/9jSVLlhQp6/jx4wQEBDjXk75WaGio8wn+lStXGDBgAJ06dWLHjh389ttvzJgxA51Ox+DBg1m+fDmXL1/mjTfewNvbmylTprB69Wpeeuklpk2bxsaNG3nvvfc81iPAVRLPhRBCiLLjduLdunXr0qiHEKVGURRysq1kZ1nw9/elWs0wDBFBBOg83zVVCE+bPXs2c+fOBSAvLw8fHx86d+7MtGnTgPxE/Msvv+T7778nMDAQgLlz59KrVy/i4uL45JNPCA4OZsaMGXh5eVG7dm0yMjKwWCy8//77NGzYkAkTJgBQu3ZtTp8+zYYNG5yJd8FTYYAePXqQkJDAjBkz8Pf355lnnmHLli1cvnzZWd9p06bRsmVLAMaNG8fixYtvmHjbbDZmzJhBvXr1iImJoUOHDhw5coSnn36aqKgoFixYQNu2bQHo378/q1at4uTJkzRq1AitVouPjw/h4eGFylQUhXfeeYcJEybQuXNnZ1t06dKFf/7zn/Tr1w+AIUOGFCp78+bNN2x7k8nk0mzfH3/8MRqNhrlz5+Lt7U2dOnVITU1l1apVDB48mAsXLqDVaomOjsZgMLBs2TIgv+dCYGAgarW6yHspCxLPhRBCiLLjUuLduXNn3nvvPUJCQujUqdNN19L86quvPFY5IUrC4VDIzrKQk21FG+BHjdoRGMID0Wj9yrtqQrhs7NixPPzww2RnZ7NixQouXLjAxIkTCQkJAfK7ODscDjp27FjoPIfDwe+//85vv/1Gw4YNCw2hGDJkCAArV66kadOmhc6LjY1l69atztfXzlDu7+9PWFiYczy1n1/+v6Xc3FxnXLi2vIYNG3L58mUyMjJu+N5q1Kjh/Fmn0znHGd93330cOnSIJUuWcPr0aY4dO0Zqaqqz63Zx0tLSSE9Pp1mzZs5tPj4+NG7cmNOnTxd7XZvNdsPy9Hq9S+PoT58+TaNGjfD2/jOkxsbGkpqaSmZmJs8++yyjRo2ic+fO3H///TzyyCOFegmUJYnnQgghRPlwKfEePXq0s0vjjZ5cCHEncTgUskxmzDm5BOj8qV3PSGhYIP4a3/KumhBuMxgMzkRx2bJlPPXUU4waNYpt27bh4+OD3W4nMDCw0CzfBYxGY6Fk8HoFifO1HA5HoQnDrj//VnMgXLu/YOIwHx+fGx5bMFb9+uN37NhBQkICffr04eGHH2bq1Kk8++yzN70u3Pj9ANjt9kJJe3H1uV6jRo3Iycnh9OnTRbqbnzt3jjlz5jBv3rxi27Hg2m3btmXPnj189tln7N27l1mzZvHdd9+xePFil+rhSRLPhRBCiPLhUuL9xBNP3PBnk8mEj49PqcwmK4S7HA4HpgwzVmsegUH+VLknilCDDl8/175kC3Gn8/X1Zd68efTt25c333yTYcOGUatWLUwmEyqViurVqwPwyy+/sHz5chYsWEDNmjX517/+haIozqebL730Eo0bN6ZWrVr88MMPha5x4MABatWqddt1PHHihLML8+HDh4mMjHSOrXbVli1bePHFF3n++eeB/MnJ0tLSnIl5cU9pAwMDCQsL4+DBg9xzzz1Afpf2n3766bbWqm7cuDF16tThzTffdHb3L7B582aOHz9OeHg4tWrV4vPPP8dmszmT+gMHDhAaGoper+fNN9+kfv369OzZk759+/Lpp58SFxd30/dSWiSeCyGEEOXD7embbTYbK1eupH379rRu3ZrY2FgefPBBNm3aVBr1E+KW7HkO0q9kcznZhJ+/D/UaRNOgaTUio0Mk6RaVTtOmTXnqqadYvXo1ycnJ1KlThw4dOjBp0iQOHz7MTz/9RFxcHDk5OQQFBdGzZ0/S09NJTEzkzJkz7Ny5k6+++op27doxYMAAjh07xmuvvcZvv/3G+++/z7vvvstf//rX267f3LlzOXToEP/5z39Yvnw5gwcPdruMkJAQ9u7dy2+//cbRo0cZP348NpvNOeu5RqMhJSXlhrOAF0xm9vXXX3P69GlmzpyJ1Wq9rXW+VSoVs2bN4oMPPmD27NkcP36cU6dOsXTpUt566y1mzZqFWq2mZ8+e5ObmMmvWLE6fPs2XX37JihUr6N+/PyqViqSkJObOncvhw4c5c+YMu3fvpmHDhs73kpGRwZkzZ8p8SS+J50IIIUTZcXtytblz5/Lvf/+bSZMm0bBhQxwOB4cPH2b58uWkpaU5J+kRorTl5dkxZVi4eiWLEEMgteoZ0YcE4O2jLu+qCVGqxo8fz+7du3n11VdZvHgxiYmJzJs3j8GDB+Pt7U2HDh2YMWMGAEFBQaxdu5aEhATefvttqlWrxpIlS5zLRa1du5bExEQ2btxIdHQ0L7/8Mk8++eRt161///6MHDkSm83G008/zaBBg9wuY9q0aUybNo3HH38cg8FAt27d0Gg0HDt2DIAuXbqwdetWHn30Ub7++utC5w4dOpSsrCxmzpxJVlYWsbGxvP3227c9Y/h9993Hpk2bWL16NYMHDyY3N5eYmBjWrl1Lhw4dgPxx4hs2bGD+/Pn06tWL0NBQBg0axIgRI4D8SeZMJhPjx4/HbDZz77338uqrrzrLr1GjBj179uTdd9+lSZMmt1XP2yHxXAghhCg7KqWg756LWrZsydq1a2nVqlWh7f/5z3+YMGEC+/bt82gFKwK73c7Bgwdp3rw5anXJkr6UpHR2f/Id97ZpVuKyKitbbh6ZGWbsdjspqRdo/8C9hIYFoVbL+tvF8eRntLIrj7ayWCz89ttv1KpVq0J19VUUhZycHLRabZl3ma5obqetivtceOozWlnjuafaR/7fdI+0l+ukrVwnbeU6aSvXebKt3CnL7SfeOp3uhpP1BAYG3nQSHyFKKtdqIzPDDCoINegIiwjC90wOoWGBknQLIYSbJJ4LIYQQZcelyHrx4kXnz88++yxTp05l+vTpNGnSBLVazYkTJ3jllVdkhlRRKqwWG5kZOajVasKMQUQYgwnSa3E4HHidladsQgjhKonnQgghRPlwKfG+dq3Pgp7pw4cPL7Jtzpw59OvXrzTqKe5C5hwrWZkWfHy9iYwOIcwYRGCQRrq0CiHEbZJ4LoQQQpQPlxLvr776qrTrIQSQ/6XPnJOLyWTBz8+b6OoGwiOCCAisOONehRDiTiXxXAghhCgfLiXeVapUKbLt8uXLzqVdhCgpRVHIzrKSnWVBo/Gles0wwiKC0Ab4lXfVhBCi0pB4LoQQQpQPt2dP2bVrF7NnzyYzM7PQdkVRUKlUzuVehHCFw6GQnWXBnG1FG+BHrXpGDGGB+Gt8y7tqQghRqUk8F0IIIcqO24n3ggUL6N69O88880yFWvZG3FkcDgdZmRbM5lwCAv2pXT+S0LBA/Px9yrtqQghxV5B4LoQQQpQdtxPvnJwcnn32WWrVqlUa9RGVnN3uwJRpxmqxERSsoWrNaEIMOnx9ZekaIYQoSxLPhRBCiLLj9uLHAwYM4I033vDIeDCr1cq0adNo1aoV7du3Z+PGjcUe+9133/HYY48RGxvL4MGD+fXXX537FEXh9ddfp1OnTrRq1Yq4uDiys7Od+zMyMpg0aRKtW7emQ4cOLFmyBIfD4dw/b948YmJiCv155513Svz+xJ/seXaupmWRlmpCo/ElplEVGjSthjFKL0m3EKLcnTt3jgkTJtzyuOzsbMaOHUv37t159NFH2b9/fxnUrnR4Mp4LIYQQ4ubczni6du3KoEGD+OCDDwgLCyuytJM7M6YmJiZy9OhRNm3axMWLF5k6dSrR0dF07dq10HEnT55kxIgRDB8+nJ49e/Lee+8xaNAgdu3aRUBAANu2bWPlypXMnTuXmJgYFixYwMSJE1mzZg2QvyzK5cuX2bx5M2lpaUyaNAmDwcDgwYMBOH36NBMnTuSJJ55wXlOn07nbNOIGbDY7powc7HYH+tAAjFF69CEBqL3V5V01ISo9RVGwWmylWn7B8lMV3cWLFzlz5swtj1u2bBmRkZEsX76cEydOMHz4cD7//HN8fSvevBSejOdCCCGEuDm3E+/JkydTr149evToUaIxYTk5OezYsYP169fTqFEjGjVqxMmTJ9m8eXORxHvLli3ExsYybtw4Zx327NnDRx99RL9+/XjnnXcYMmQIPXr0AGDhwoV07NiRX3/9ldq1a/Ovf/2LxYsXU69ePWfd9+7dWyjxfu655wgPD7/t9yMKy83NIzM9B4CQUB0RUcEEhwSgVrvdyUIIcRsURWHCc6/z86FzpXqde5pUYenG54skbdfat28fCQkJ+Pr64uPjw+bNm1m2bBl79uzB4XDQqFEjZs6ciVar5f/+7/9ISEjAZrOh0WicN1SLYzKZiI+P5+jRo6jVavr378/AgQM5d+4c8fHxpKSk4OXlxciRI+natSspKSlMmjSJrKwsFEWhT58+DBgwgBkzZpCSksLYsWNZvnw5w4YNY+zYsTRp0qTQ9b7++mtWr14NQP369alWrRp79+7lgQce8EyDliFPxXMhhBBC3Jrbiff58+f5+9//TrVq1Up04ePHj5OXl0dsbKxzW8uWLVmzZg0OhwMvrz8TtHPnztG0aVPna5VKRf369Tl48CD9+vXj3LlzNGvWzLk/IiKC0NBQDh48SO3atdHr9fzzn//kvvvuIzMzk3//+9906dIFgKysLJKTk6lZs2aJ3o/IZ7XYyMzIwUvthSE8kIjIYIL02kK/TyFE2VBRfDJc1k6fPs0333xDeHg47733HikpKezcuRMvLy8SExNZtWoV48aNY+zYsSxdupQ2bdqwa9cuVqxYwcqVK4std9myZfj5+bFr1y5MJhP9+/enS5cuTJ48mSeeeIK+ffty6dIl+vTpQ926ddm9ezf33HMP06ZNIy0tjYSEBPr168e8efNYtGgRy5cvB2D9+vU3vF5ycjKRkZHO10ajkaSkJM82VhnxVDwvYLVamTNnDp9//jn+/v4MHTqUoUOH3vDY7777jsTERGf8njVrFrVr13bu37VrF0uXLiU5OZkWLVowd+7cGy6FJoQQQlQUbifeDz74IP/973/p27dviS6cmppKSEhIoe55YWFhWK1W0tPTCQ0NLbQ9OTm50PlJSUkEBwcDYDAYCu3PyckhIyODq1evAjB79mymTJlCixYtcDgc3H///YwePRrI/zKoUqlYs2YN3377LXq9niFDhhTqdu4qu93u9jnFlXHtGPSKwGLOJctkQe3tRbgxiLCIIAKDNahUKhRF8UjbXK+gzNIou7KRtnJdebSV3W53dtv2ZNftxRuGlHpXc4eS5/z5ZsdVr16dsLAwFEXh22+/5ejRo87/Z202G9WrV+eXX35Bp9PRunVrFEXhkUce4ZFHHrlp2f/73/+YM2cOAIGBgXz88cdkZ2fz008/sXnzZhRFITIykgceeID//ve/3H///YwcOZKzZ8/Srl074uLinP9P3ep9FOy//vd07fk3O8+V8m90LbvdXujz6KnPpqfieQFPDR/bv38/EydOZObMmbRu3ZrExEQmTJjAtm3bPFJPIYQQojy4nXhXqVKF+fPn88EHH1CtWjXU6sJjdRcsWOBSOWazuciYuILX10/00q1bN0aNGkWPHj3o0KEDH330EUeOHKFNmzYAdO/enbVr19KyZUuqVq3KwoULgfwvcwC//fYbjRs3ZvTo0aSmpjJnzhzWr1/PyJEj+fXXX1GpVNSuXZtnnnmGH374gZkzZ6LT6ZxPxV115MgRt46/kcx0CwCnTp0qcVllwWrJw5xjw8dHTaDeD32IhozsbDLPlN0TIE+0+91C2sp1Zd1W3t7emM3mCnfTTaVSYTabb3qM1WrF19eXnJz84Se5ubkMGzaMxx57DMifsCwvL4/k5GQcDofzOIfDwenTp6lXr16xZavVaiwWi/Occ+fOERoaiqIo5OTkOHvb2Gw2zGYz9evX58MPP2Tv3r3873//Y82aNbz11ltYrdZC1y6O0Wjk7Nmzzqezly5dQq/X3/K8Ardqq2tZrVZsNhvHjx93+Rx3eCqeg2eHj23cuJHHHnuMfv36ATB9+nQGDRrElStXCt2UF0IIISoStxPvtLQ0Hn300RJf2M/Pr0iCXfD6+rFmHTt25MUXX2TMmDHY7XbatGnD448/TlZWFgCjRo3i3LlzPProo3h7e9OvXz/uuecedDodZ86cYdGiRezZs4eIiAgg/4tPfHw8w4YNo1evXjz44IPo9XoA7rnnHs6cOcOWLVvcTrybNGlS5IuLu1KS0jl/Zi9169a9Y7tnK4pCTraV7Cwr/hG+hBmDCIsIJEBXtmME7XY7R44c8Ui7V3bSVq4rj7ayWCz8/vvvaDSaCjXWVlEUzGYzGo3mpmO8/fz88PLyQqvVAtChQwc+/PBDHn/8cfz8/Jg2bRpRUVGMHz/emWi2aNGCr776inXr1t30SWfbtm3ZvXs3999/P1lZWYwaNYq1a9fSsGFDPvnkE/r27UtycjLfffcdzz77LGvWrMHb25uxY8fy6KOP8uijj5KRkUFAQACKojjrWJzOnTvz0UcfERcXx6lTp/j9999p27btLc9zta2u5eXlhY+PD3Xr1i30uSj4jJaUp+I5eHb42Pfff++8gQ5QrVo1vv76a4/UUwghhCgvbife7twBvxmj0cjVq1fJy8vD2zu/Gqmpqfj7+xMUFFTk+JEjR/Lcc89hMpkwGAyMGzfOOd5Lq9WybNkyTCYTKpUKnU5H27ZtqVKlCj///DMhISHOpBugYcOGZGdnk5GRgcFgcCbdBWrXrs3//vc/t9+TWq0u8Rf1gvO9vLzuuARJURSysyxkZ1nRan2pVddIWEQQGq1fudbLE+1+t5C2cl1ZtpVarUalUjn/VDS3qnfBvoK/+/Xrx8WLF+nTpw8Oh4OGDRsybtw4/Pz8WL58OQkJCVgsFgICAli4cOFNyx49ejRz587lscceQ1EURo4cSb169ViyZAnx8fFs3rwZh8PBpEmTaNy4MeHh4UyZMoXHHnsMb29vunTpQosWLUhPT8dqtTJ48GA2bdpU7ORqY8eOZdasWfTo0QOVSsWiRYsIDAz0WFvd6NjS+ix6Kp6D54aPZWZmkpGRgd1u57nnnuP48eM0bdqU+Ph4jEajx+orhBBClLXbWkD5yy+/ZMOGDfz666/Y7XZq1arFM888Q69evVwuo0GDBnh7e3Pw4EFatWoFwI8//kiTJk2KPOn9+OOPOXToENOnT8dgMGCxWNi3b5/zjnhiYiL16tVzjhc8fPgwJpOJ2NhYTp06xdWrV0lLS8NgMADw66+/otVqCQ0NZdmyZRw4cIA333zTeb3jx48XmuTlbudwKGSbLJjNuWgD/KhVz4ghLBB/TcVbPkcIUfbatGnDzp07na/VajWTJ09m8uTJRY5t1qyZW2N5dTodixYtKrK9WrVqvP7660W2G41GNm3aVGS7Xq9n165dztfFTa6m0+l47bXXXK7fnc4T8Rw8N3ysoMv+vHnzGD9+POPGjWPZsmWMGDHCORmfq0o6Fl7mxnCPtJfrpK1cJ23lOmkr13myrdwpw+3Ee+vWrSxatIhnnnmG4cOH43A42L9/P3PmzMFms9GnTx+XytFoNPTq1Yv4+HgSEhJISUlh48aNzjvwqampBAYG4u/vT82aNYmLi+Pee++lfv36vPrqq0RFRdGxY0cgfxbzlStXUqdOHby8vJg8eTL9+/dHr9fTvHlz6tSpw5QpU3j55Ze5evUqiYmJPPPMM6hUKh588EHWrVvH66+/TpcuXfjuu+/44IMPeOutt9xtmkrH4XCQlWnBYrGhC/SnTkwkoQYdvn4+5V01IcRdwmKxFDv5V4sWLZg9e3YZ16jy8FQ8B88NHyt4st+nTx9n8r948WLatWvHwYMHadGihct18tQ8DTI3hnukvVwnbeU6aSvXSVu5rszn83H3hA0bNjB79uxCd8Mfeugh6tWrx5o1a9wK1HFxccTHxzNo0CB0Oh1jxozh4YcfBqB9+/YsWLCA3r1707hxY+Lj41m4cCHp6em0bduWtWvXOu98Dxw4kAsXLjBs2DC8vLx4/PHHmTRpUv4b9PZm/fr1zJ8/n7/+9a9otVoef/xx56zmTZs2ZdmyZSxfvpxly5ZRpUoVlixZUmic2t3GbndgyjCTm5tHYJCGajXD0Bt0+PreVgcJIYS4bf7+/nz44YflXY1KyZPx3FPDx0JCQvDx8SnU6ywkJAS9Xu/2sm0lnadB5sZwj7SX66StXCdt5TppK9d5sq3cmXfltiZXa968eZHtsbGxXLp0ya2yNBoNixYtumE3wV9++aXQ6yeffJInn3zyhuWo1WqmT5/O9OnTb7g/MjKSFStWFFuPhx56iIceesiNmldOeXl2TBlm8vLsBAVrqVk3gpBQHd4+8o9XCCEqG0/Gc08NH/P29qZRo0YcP36c7t27A3DlyhWuXr3q9jrenhobL3NjuEfay3XSVq6TtnKdtJXryrqt3J42u0GDBnzwwQdFtr///vvUrVvXE3USZcyWm8eVyyaupmWjC/InplFVGjSpSrgxWJJuIYSopDwZz68dPnb48GG+/PJLNm7cyLPPPgvkP/22WPKXy6xZsyZbt27l888/58yZM0ycOLHQ8LEhQ4bw9ttv89lnn3H69GmmTZtGgwYNCs2ELoQQQlQ0bj/xnjx5MoMHD2bfvn00a9YMgIMHD3L8+HHWrFnj8QqK0pObm0dmeg6oINSgIyJST5Bei1p9Zy5jJoQQwnM8Hc89NXysa9euZGZm8uqrr5KWlkbr1q1ZvXp1hZzxXwghhCjgduIdGxvLzp072bFjB6dPn8bPz497772XpUuXEhUVVRp1FB5mtdjITM9B7e2FITyQiCg9QcGaO3bdcCGEEJ7n6XjuqeFjAE8//TRPP/2023UQQggh7lS3NVtWXl4e3bt3d3b72rhxI5mZmZJ43+HMObmYMs34+KgxRusJNwYTGKyRpwhCCHGXknguhBBClA23H3F++umn9OnTh/379zu3HTlyhKeffpovv/zSo5UTnpGTbSU5KQOr1UZ01RAaNqtGnZgogvRaSbqFEAI4d+4cEyZMcPn4//znP27N+n0nknguhBBClB23n3gvX76cOXPm8MQTTzi3LV26lJ07d7J06VKZHfwOoSgKOdlWskwWNBpfqtcMwxAeSIDO/9YnCyEqBUVRsFjzSq98FBRFKbXyy9LFixc5c+bMLY/Lzc1l3bp1vPXWW1StWrX0K1aKJJ4LIYQQZcftxDspKemGa1y3bNmS+Ph4T9RJlIDDoZCdZSEn24o2wI9adSMIDQtEo/Ur76oJIcqQoigMn7uNwycvlup1GteJZP2sfjftPbNv3z4SEhLw9fXFx8eHzZs3s2zZMvbs2YPD4aBRo0bMnDkTrVbL//3f/5GQkIDNZkOj0TB37lxiYmKKLdtkMhEfH8/Ro0dRq9X079+fgQMHcu7cOeLj40lJScHLy4uRI0fStWtXUlJSmDRpEllZWSiKQp8+fRgwYAAzZswgJSWFsWPHsnz5coYNG8bYsWNp0qRJoev9+OOPXLlyhYSEBFavXu2xdiwPEs+FEEKIsuN2V/OGDRvyzjvvFNm+fft27rnnHo9USrjP4VDIzMghNTkDlUpF7XpGGjatRpXqYZJ0C3G3uoNGkpw+fZrVq1fz7rvv8o9//IOUlBR27tzJP//5T0JCQli1ahW5ubmMHTuWqVOn8tFHHzF06FBWrFhx03KXLVuGn58fu3btYuvWrWzdupWkpCQmT57Mww8/zEcfffT/7d15XFTV/z/w17CDgOISLqghJgqyqriAmpgbSSKKqZ8UxJUU9xUQVHBDTQMXULPQciOBFoNIrcwyLFHEBQVyVwRxAWSfub8//DnfJlwGnbkIvp6PB4+Ye8+c+z5voON77rn3IioqCmFhYcjKykJsbCzat2+PuLg4bN++HSdPnoRMJkNYWBgsLCwQEREBANi2bVuVohsAunfvjuDgYBgZGaklT2LifE5ERCSeap/xXrhwIcaPH49ff/0VHTp0APD4bqUPHjzA1q1bVR4gPZ9UKkNRQQnKyiphZKyHFu2boWEjQ+joatd0aERUgyQSCbYGfaj2peayynKl7hXRqlUrNGnSBABw9OhRnD17Vr7EuaKiAq1atcKlS5dgaGiIrl27Anj8WKmBAwc+t9+UlBQsWbIEEokExsbGOHjwIB49eoRz585h9+7dAIBmzZqhd+/eOH78OJydnTFlyhRcu3YNLi4uCAgIeGOf6MD5nIiISDzVLrxtbW3x448/4vvvv8eVK1egpaWFrl274oMPPqgTZwBqC2mlFAUPS1BRLoVxA320avMWTBrVg7b2S92onojqIIlEAn099X0IJwgCiqUVSrXV0/u/+0vIZDJMmzYNnp6eAICioiJUVlYiJydH4T0ymQyZmZnPXWqupaX4/7xr166hYcOGVa49FwQBlZWVsLe3x6FDh/Dbb7/hjz/+QFRUFGJjY5UaQ13D+ZyIiEg8L1WlNWzYEJ6enrh27RosLCxQUVEBQ0NDVcdGT1FZKUXBg2JIpTLUN6kH02YN0MCkHrS0NWs6NCIipXTv3h379+/HoEGDoKuri8DAQDRv3hyzZs1CWVkZUlNT4ejoiCNHjmDr1q3Yv3//M/vq1q0bvvnmG3Tq1AlFRUXw8fHB1q1bYW1tjdjYWHz44Ye4c+cOfvnlF/zvf//DJ598Ai0tLUyfPh39+vXDiRMnkJOTA01NTUilUhGz8HrgfE5ERCSOahfeZWVlWLZsGeLj4wEAP/74I1avXo2SkhJ88sknqF+/vsqDJKCivBIFD0sgCAIamNTDW80aoEHDetDUfDOXSBJR7TVy5EjcunULw4cPh0wmg5WVFaZPnw4dHR1ERERgxYoVKC0tRb169bBq1arn9jV16lSEhobC3d0dgiDAz88Pbdu2xdq1a7FkyRJ8+eWXkMlkmDt3LqytrdG4cWPMnz8f7u7u0NLSwnvvvQcHBwc8ePAAZWVl8Pb2RkxMzDNvrlaXcD4nIiIST7UL7zVr1iA7Oxvx8fEYOXIkAMDf3x+LFi1CWFgY1qxZo/Ig32TlZRV4+KAYEg0JGjYyhGmzBjBuYPDGXpNIRLVP165dERcXJ3+tqamJefPmYd68eVXa2tnZYd++fUr3bWhoiNWrV1fZ3rJlS3z22WdVtpuamiImJqbK9gYNGiApKUn+etu2bc897n/HVBtxPiciIhJPtQvv5ORkbNq0SeGaO0tLS4SGhsLX11elwb3Jykor8KioCJqammjStD7eMq0P4wYGSt3EiIiorigtLcWHH3741H2Ojo4ICQkROaK6g/M5ERGReKpdeD969Aj6+vpVtstksjfy+jh1EGQCSkrK0ay5CRqZGsPIWJ8FNxG9kfT09PDNN9/UdBh1EudzIiIi8VR7vbKrqyvWr1+PoqIi+bbr168jLCwMvXv3VmlwbyJ9fR281dwIVrYtYd6uKYzr8yw3ERGpHudzIiIi8VS78A4ODoaGhgacnJxQUlKCYcOGoX///jA2NkZQUJA6YnyjGBjqoklTI9Qz1HtxYyKqU/77CCx6s6n794HzORERkXiqvdTcyMgIkZGRuH79OrKzs1FZWQlzc3NYWFioIz4iojpPW1sbEokEeXl5aNKkSa1Z5SIIAsrKyqChoVFrYq4p1c2VIAjIy8uDRCKBtrZ6nsXO+ZyIiEg81Sq8i/7/zb709fXRsmVLtGzZUr4vLy8Pa9asQXh4uMqDJCKqyzQ1NWFmZoYbN27gypUrNR2O0gRBQEVFhfyDA3q2l8mVRCKBmZkZNDU1VR4P53MiIiJxKVV45+TkYOHChUhJSQEA9OrVC+Hh4ahfvz6kUim++OILbNq0SW2fyhMR1XWGhoZ45513UFFRUdOhKE0qlSIjIwNt27ZVS3FYl7xMrrS1tVWeV87nRERENUOpwnvZsmW4efMmwsPDoa2tja1bt2LlypWYNWsW/Pz8kJGRgeHDh2PWrFnqjpeIqM7S1NSsVQXskztf6+np1aq4a8LrkivO50RERDVDqcL75MmT2LBhA7p37w4AsLKywtChQ5GRkQFBELBv3z7Y2NioNVAiIiJ6NZzPiYiIaoZShXdBQYHCzVZatWqFiooKtGjRAhs2bOCSNCIiolqA8zkREVHNUKrwFgShytI4TU1N+Pv7c5LG/z3y5clSwlfxpA9V9FXXMVfKY66Ux1wpj7lSnipz9aSPl3nc2Jswn6tqTubvd/UwX8pjrpTHXCmPuVJeTc3J1X6c2L/Vq1fvVd5eZ8hkMgBAenq6yvpUZV91HXOlPOZKecyV8pgr5akyV0/mHlWoS/O5qudk/n5XD/OlPOZKecyV8pgr5Yk9JytdeCcmJsLQ0FCh8+TkZDRq1EihnYeHh/IR1hFaWlqwsbHhs2yJiEjtBEGATCaDltbLfXZe1+dzzslERCSW6szJEkGJ8+Kurq5KHVgikeDw4cNKtSUiIiJxcT4nIiKqGUoV3kRERERERET0cjRqOgAiIiIiIiKiuoyFNxEREREREZEasfAmIiIiIiIiUiMW3kRERERERERqxMKbiIiIiIiISI1YeBMRERERERGpEQtvEZSVlSEgIACdO3eGi4sLduzY8cy258+fh5eXF+zs7DBs2DCcPXv2qe22bNmChQsXqivkGqOqXAmCgK1bt8LV1RWOjo7w9vZGVlaWGEMQjapyJZVKsXbtWjg7O8PBwQEzZszA3bt3xRiCaNTxN5iYmAhLS0t1hVxjVJmrzp07w9LSUuHr0aNH6h6CqFSZr6SkJAwYMAD29vbw9fXFzZs31R3+G4lzsvI4JyuPc7LyOCcrj3Oy8mrFfCyQ2i1btkxwd3cXzp49KyQnJwsODg5CYmJilXaPHj0SnJ2dhVWrVglZWVlCaGio0KNHD+HRo0cK7b777juhQ4cOwoIFC8QagmhUlavdu3cLXbt2FY4cOSL8888/QkBAgPDuu+8KxcXFYg9JbVSVq82bNwt9+vQRTpw4IWRmZgre3t7CuHHjxB6OWqn6b/Dhw4eCs7Oz0K5dO7GGIBpV5SonJ0do166dcO3aNSE3N1f+JZPJxB6SWqkqXydPnhSsrKyEPXv2CNnZ2cLkyZOFESNGiD2cNwLnZOVxTlYe52TlcU5WHudk5dWG+ZiFt5o9evRIsLGxEf7880/5tk2bNgkfffRRlbaxsbGCq6ur/I9AJpMJ/fr1Ew4cOCAIgiBUVFQIwcHBgo2NjdC/f/86N8mrMldeXl5CdHS0vH15eblgb28vHDt2TM2jEIcqcxUZGSkkJyfL2x86dEiwtbVV8wjEo8pcPREYGCiMHDmyzk3yqszV77//Ljg7O4sTeA1RZb6mTp0qLFy4UN7+2rVrQp8+fYT8/Hw1j+LNwjlZeZyTlcc5WXmck5XHOVl5tWU+5lJzNcvIyEBlZSUcHBzk2zp16oS0tDTIZDKFtmlpaejUqRMkEgkAQCKRwNHREadPnwYAFBcX4+LFi9i/f79Cf3WFKnM1f/58fPDBB/L2EokEgiCgsLBQ/QMRgSpzNW3aNPTr1w8AkJ+fj9jYWDg5OYkzEBGoMlcAcOLECZw4cQJTpkwRJX4xqTJXWVlZMDc3Fy32mqDKfJ04cUL+dwgALVu2xJEjR9CwYUP1D+QNwjlZeZyTlcc5WXmck5XHOVl5tWU+ZuGtZnl5eTAxMYGOjo58W+PGjVFWVoYHDx5UafvWW28pbGvUqBFycnIAAMbGxti7dy/at2+v9rhrgipz1blzZzRt2lS+LzY2FpWVlejUqZP6BiAiVebqiYiICPTo0QOpqal16lpFVeaqvLwcixcvRnBwMPT09NQeu9hUmavs7GyUlJRgzJgxcHFxwcSJE3H58mW1j0FMqspXQUEBHj58CKlUivHjx8PZ2Rl+fn64c+eOGMN4o3BOVh7nZOVxTlYe52TlcU5WXm2Zj1l4q1lJSYnCLwEA+evy8nKl2v63XV2lrlylpaVh9erVGD9+PJo0aaLiqGuGOnI1ZMgQfP311+jevTt8fX1RVFSkhsjFp8pcbdq0CdbW1nBxcVFjxDVHlbn6559/8PDhQ/j5+WHz5s3Q09ODj49Pnfm9AlSXr+LiYgBAWFgY3N3dsWXLFpSXl2Py5MlVPqmnV8M5WXmck5XHOVl5nJOVxzlZebVlPmbhrWa6urpVfuBPXv/307lnta2Ln+I9jTpyderUKYwfPx69evXCjBkz1BB1zVBHrlq3bg0bGxuEh4ejtLQUycnJaohcfKrK1aVLl7B//34EBASoN+AapMrfq88++wwJCQno0aMHbG1tsXbtWpSVleHnn39W4wjEpap8aWpqAgC8vLzg4eEhz9elS5cUllTSq+OcrDzOycrjnKw8zsnK45ysvNoyH7PwVjNTU1Pcv38flZWV8m15eXnQ09ODsbFxlbb/fWTE3bt3qyyHqKtUnauUlBT4+vqiW7duWLduHTQ06s6vuypz9fPPPyssodHV1UXLli1x//59NY5APKrKVXJyMh4+fIh+/frBwcEBEydOBAA4ODjg22+/Vf9ARKDK3ysdHR3Uq1dPvk9XVxdmZmZ1avm0qvJlYmICbW1ttGnTRr7PxMQEDRo0qLL8lF4N52TlcU5WHudk5XFOVh7nZOXVlvm47vxf7zXVoUMHaGlpKXxKcvLkSdjY2FSZdOzs7HDq1CkIggDg8XMvU1NTYWdnJ2bINUaVubp06RL8/PzQs2dPbNiwAdra2qKNQwyqzNXq1auRkJAgb19UVIQrV67AwsJC7eMQg6py9dFHHyExMREJCQlISEhAWFgYACAhIQGurq6ijUedVJUrQRDw3nvvIS4uTt6+uLgYV69eVZjMajtV5UtLSwvW1tbIyMiQt7937x7u37+PFi1aiDKWNwXnZOVxTlYe52TlcU5WHudk5dWa+fiV74tOL7R48WLh/fffF9LS0oSffvpJcHR0FH788UdBEAQhNzdXKCkpEQRBEAoLC4Vu3boJoaGhQmZmphAaGio4OztXeV6hIAjCggUL6tyjSwRBdbn68MMPBTc3N+HWrVsKzyt88v66QFW52rlzp9ClSxfhl19+ES5duiRMmTJFGDp0qCCVSmtsbKqmjr/BP//8s849ukQQVJer0NBQ4d133xX+/PNP4dKlS8LUqVOFwYMHC5WVlTU2NnVQVb4SExMFe3t74YcffhCysrKEyZMnC0OHDq1Tz1h9XXBOVh7nZOVxTlYe52TlcU5WXm2Yj1l4i6C4uFiYP3++YG9vL7i4uAiff/65fF+7du0UnkeYlpYmeHh4CDY2NsLw4cOFc+fOPbXPujrJqyJXubm5Qrt27Z769d9nP9Zmqvq9kkqlQnR0tPDuu+8Ktra2gp+fn5CTkyPmUNROHX+DdXWSV1WuSktLhZUrVwrOzs6CnZ2dMHnyZOHWrVtiDkUUqvzd2rdvn9CnTx/B1tZWmDBhgnD79m2xhvFG4ZysPM7JyuOcrDzOycrjnKy82jAfSwTh/59nJyIiIiIiIiKV4zXeRERERERERGrEwpuIiIiIiIhIjVh4ExEREREREakRC28iIiIiIiIiNWLhTURERERERKRGLLyJiIiIiIiI1IiFNxEREREREZEasfAmeg24urrC0tJS/tW+fXs4OTnBz88Pt2/frunwFNy4cQOWlpa4cePGU/fHxcXB1dVVJccqKipCQkKC/LWrqyvi4uJU0ve/PRnTv7+sra3h4uKC0NBQlJeXK9WPIAj46quvVB4fERGJh3Py03FOJno1WjUdABE9FhAQADc3NwCATCZDVlYWQkJCsGDBAuzcubOGo1Oem5sb3n33XZX09cUXXyAlJQUeHh4AgK+//hoGBgYq6ftpYmNj0axZMwBAWVkZTpw4gZCQEJiYmGDatGkvfP9ff/2FZcuW4X//+5/aYiQiIvXjnFwV52SiV8PCm+g1YWRkhCZNmshfm5qaYvr06Zg3bx4KCwthZGRUg9EpT09PD3p6eirpSxAEhdcNGzZUSb/P0rBhQ4WfgZmZGVJTU3Ho0CGlJvn/xktERLUT5+SqOCcTvRouNSd6jeno6AAANDQe/6kWFBRg3rx5cHR0lC+5Ki0tlbc/c+YMRo0aBTs7OwwYMAAHDx6U7zt16hRGjRoFe3t7uLq6Ys+ePfJ9CxcuxJo1azBz5kzY2dnBzc0N58+fx/r169G5c2f06tULiYmJCrElJSWhV69ecHR0RHBwsHzp17+XtaWkpMDV1RW7d+9Gz549YW9vj3nz5snbCoKAqKgouLq6omPHjnBxccHGjRvl/WzcuBEnTpyApaUlAMVlbTKZDNu3b0ffvn1ha2uLMWPG4OLFi/L4LC0t8c0332Dw4MHo2LEjRo8ejevXr7/Uz0BTU1P++vDhw/Dw8ICNjQ06d+6M2bNn49GjR7hx4wbGjh0rP3ZKSgoAYO/evXB1dYWDg0OVGImIqPbgnMw5mehVsPAmek1du3YNW7duRc+ePVGvXj0AQGBgIAoLC7Fnzx5s3rwZ6enpWLZsGQAgPz8fvr6+6NChA+Lj4zF58mQsWLAAGRkZyM7Ohre3N7p06YK4uDj4+/tj9erV+Omnn+THi4mJgZOTE7799ls0aNAA3t7eyM/Px759++Dq6oqQkBDIZDJ5+/3792P9+vWIiorC0aNHER0d/dRx5Obm4scff8T27dsRGRmJ5ORk+TViCQkJiImJwfLly5GUlISpU6ciMjIS586dg5ubG3x9feHg4IBjx45V6XfTpk3YsWMHAgICEB8fjxYtWmDChAkoLi6Wt4mMjERgYCDi4uJw//59bNiwQen8C4KAlJQUfPfddxgwYID8ZzJjxgyMHj0aiYmJ2LBhA/744w/s378fzZo1Q2RkJADg2LFjcHBwwJEjR7Bx40YsXrwY8fHx6NSpE8aOHYuHDx8qHQcREdU8zsmck4lemUBENa5Pnz5Cx44dBXt7e8He3l7o2LGj4ODgIMydO1e4d++eIAiCcPXqVaF9+/ZCQUGB/H0ZGRnybTExMYKrq6sglUrl+3fs2CGcOnVKWLFihfDhhx8qHHPNmjXCiBEjBEEQhAULFijs/+qrrwRra2uhpKREEARByMrKEtq1ayfcuXNHuH79utCuXTvh559/lrePi4sTevToIQiCIBw4cEDo06ePIAiC8Oeffwrt2rUTLl26JG87depUISgoSBAEQTh+/LhCP4IgCM7OzkJ8fLwgCIIQEREhfPTRRwp5OnDggCCTyQQnJydh79698n3l5eVC7969hT179giCIAjt2rUTvvzyS/n+mJgYoX///k/N/5Mx2dnZyX8GVlZWgouLixARESFUVlYKgiAIly9flvf/xKxZs4RFixYpjPeJUaNGCTt37lRoP3To0CrbiIjo9cE5+f9wTiZSHV7jTfSamD59Ovr3749Hjx4hMjISN2/exJw5c2BiYgIAyM7OhkwmQ69evRTeJ5PJcPXqVVy+fBlWVlbyJXAAMG7cOADAxo0bYWtrq/A+BwcH7N27V/7azMxM/r2enh4aN24svy5MV1cXABTuJPrv/qysrHD37t1nfmrcunVr+feGhoaorKwEAHTr1g1paWlYt24dsrOzceHCBeTl5Sl8iv80+fn5ePDgAezs7OTbtLW10bFjR2RnZz/zuBUVFc/td+vWrTA1NcWtW7ewbNkytG/fHlOmTJEva3v77beho6ODLVu2IDMzE5mZmcjKysKQIUOe2l92djbWrFmDTz75RL6trKwMV65ceW4cRERUszgnc04mUjUW3kSviUaNGsknpU8//RTDhw/Hxx9/jH379kFbWxtSqRRGRkY4cOBAlfeamppCS+vZf85PJul/k8lkkEql8tf/ff+//7HwNP/eL/z/G5hoa2s/te2T6+L+2z42NhYrVqyAl5cX+vfvjwULFsivyXqep40HAKRSqcI/EJ4Vz7M0b94cZmZmaN26NaKjozFkyBCsXr0aQUFBAICMjAyMGjUKrq6u6Ny5M3x8fBATE/PM/qRSKQICAtC9e3eF7YaGhtWKi4iIxMU5mXMykarxGm+i15COjg7CwsJw4cIFfPHFFwAAc3NzFBYWQiKRoHXr1mjdujVKS0sRHh6O8vJyvP3227h48aLCXTxnzpyJ7du3w9zcHGlpaQrHOHXqFMzNzV86xkuXLsm/P3PmDJo2bVrtx4rs2bMHU6dORUBAADw8PGBiYoL8/Hz5GCQSyVPfZ2RkhMaNG+P06dPybRUVFTh37twrjenfWrVqBX9/f3z55Zfy3H3zzTfo0qUL1q1bh9GjR8PW1hZXr159Zrzm5ubIycmR/7xat26NqKgohbiJiOj1xjmZczKRKrDwJnpN2draYvjw4di8eTPu3LkDCwsL9OzZE3PnzsWZM2dw7tw5LFq0CMXFxTA2Noa7uzsePHiA8PBwXLlyBXFxcTh8+DCcnZ0xevRoXLhwAZ988gkuX76M+Ph47N69+5WebRkaGoq0tDT8/vvviIiIgI+PT7X7MDExwfHjx3H58mWcPXsWs2bNQkVFhXz5nL6+PnJzc3Hjxo0q7/Xx8UFERASOHDmC7OxsLF68GGVlZfLnrqrC2LFjYWFhgWXLlkEmk6FBgwa4ePEizpw5g8uXL2PVqlVIT09XiBcAzp49i7KyMowbNw4xMTFISEjAtWvXsGbNGiQmJsLCwkJlMRIRkfpxTuacTPSqWHgTvcZmzZoFbW1trFmzBgAQHh4OMzMz+Pj4YNy4cTA3N5dfq2RsbIzo6Gj8/fffGDx4MLZt24Z169ahQ4cOaN68OaKjo/Hbb7/B3d0dW7ZswcKFCzFs2LCXjm3UqFHw8/PDzJkzMWTIEHh7e1e7j4CAABQVFWHIkCHw9/eHpaUl+vXrhwsXLgAA+vXrB5lMhvfffx/5+fkK7/X19YWXlxcWL14MT09P5OTkYNeuXSp9rqiWlhaCgoJw9uxZHDhwAGPGjIG9vT18fHwwevRo3Lp1C1OnTsX58+cBPH5kibOzM0aOHIlff/0Vbm5umDVrFiIiIjB48GAcP34cW7Zswdtvv62yGImISByckzknE70KiSDw6fJERERERERE6sIz3kRERERERERqxMKbiIiIiIiISI1YeBMRERERERGpEQtvIiIiIiIiIjVi4U1ERERERESkRiy8iYiIiIiIiNSIhTcRERERERGRGrHwJiIiIiIiIlIjFt5EREREREREasTCm4iIiIiIiEiNWHgTERERERERqRELbyIiIiIiIiI1YuFNREREREREpEYsvImIiIiIiIjUiIU3ERERERERkRqx8CYiIiIiIiJSIxbeRKQUQRBqOgQiIiIiolqJhTdRLTVmzBhYWlpi5MiRz2wza9YsWFpaYuHChdXq29XVVeE9mzdvxmeffSZ/HRkZCUtLy2r1uXDhQri6uj7zGGIJDQ3F+vXr5a9PnTqFMWPGwMHBAS4uLggLC0NRUdFz+5g/fz62bdum7lCJiIiIqI5g4U1Ui2loaOD06dPIycmpsq+4uBg///yzSo7z6aefoqSkRP7ay8sL+/bte6U+N27ciI8//vhVQ6uW48eP46effsKUKVMAABkZGfDx8UG9evUQGRmJ2bNnIzExETNmzHhuP3PmzMG2bduQnZ0tRthEREREVMux8CaqxaysrKCrq4ukpKQq+37++Wfo6+vD1NRU5cdt2rQp7O3tX6kPKysrtGrVSjUBKWnlypXw8fGBvr4+ACAmJgb169dHREQEXFxc4OnpiTlz5uDYsWP4559/ntmPqakpBg8ejDVr1ogVOhERERHVYiy8iWoxAwMD9O7d+6mF9w8//IABAwZAS0tLvu3GjRuwtLREXFycQtv/LgP/tydLyjdu3Cj//r9LzceMGYOFCxciKioKPXr0QKdOnfDxxx/j5s2bz4z9v0vNy8rKEB4ejt69e6Njx45wd3fHDz/8UOU9K1asgLe3N2xtbREYGCjfPmbMmGceCwB++eUXXLp0Ce+//75828yZM7F161bo6OjIt2lrawMAysvLn9ufu7u7vE8iIiIioudh4U1Uy7m5uVVZbl5UVISjR49i8ODBr9z/kyXlw4cPf+7y8sOHDyMuLg5BQUFYunQpLly4gDFjxigsUX8WQRAwdepU7N27F+PGjcOWLVvg4OCAWbNmISEhQaHtV199BRsbG2zevBnDhw8H8PhDgZCQkOce49tvv4W9vb3CCgBTU1O0b98ewOOl+X/88QfWr18PR0dH+fZncXBwgKmpKb7//vsXjo+IiIiI3mxaL25CRK+zd999F/r6+khKSoKPjw8A4KeffkKjRo3QqVOnV+7/yZLyFy0vLykpQVxcHFq2bAkAaNOmDYYOHYqEhASMGjXqucf4448/8Ntvv2H9+vVwc3MDAPTs2RMlJSVYu3YtBg8eLD9z37x5c8ydO1fh/VZWVi8cx59//qlwtvvfBEFAt27dUFZWhgYNGmDx4sUv7A8AOnbsiOPHjyvVloiIiIjeXDzjTVTL6enpwdXVVWG5+cGDBzFo0CBIJBLR4nB0dJQX3cDjYrhly5b466+/Xvje48ePQyKRoHfv3qisrJR/ubq6Ii8vD5mZmfK2HTp0qHZsxcXFyM/Ph5mZ2VP3V1ZWYsuWLdiyZQvMzc3xv//9DxkZGS/st0WLFrhx40a14yEiIiKiNwvPeBPVAYMGDcK0adOQk5MDXV1dHD9+HDNnzhQ1hqfdxK1Ro0Z4+PDhC9/74MEDCIIAR0fHp+7Pzc2VF9wGBgbVjq2wsPC579XW1oazszMAoEuXLnB1dUVMTAxWrlz53H719fXlfRMRERERPQsLb6I6oFevXqhXrx6SkpJgYGAAMzMzdOzYsUq7J2fApVKpwvbi4uJXjuH+/ftVtt29e1epO5cbGRnBwMAAO3fufOr+1q1bv1JsJiYmAICCggKF7UeOHIGRkRG6dOmiEEvLli2Rm5v7wn4LCgrkfRMRERERPQuXmhPVATo6Onjvvffw448/IjEx8ZnXMhsaGgIA7ty5I99WUVGBM2fOPLd/DY0X/6/i5MmTCsX32bNncePGDXTv3v2F73VyckJxcTEEQYCNjY3869KlS9i0aRMqKytf2Mfz6OjooEmTJrh9+7bC9i+++AJLlixR+CAiJycH2dnZCndtf5acnBy0aNHilWIjIiIiorqPhTdRHeHm5oZTp04hJSXlmYV3/fr14eDggF27duG7777D0aNH4efnh9LS0uf2bWxsjNTUVPz1118QBOGpbUpKSjBhwgQcOnQI33zzDaZNm4Z27dopdWf13r17o0uXLvj444+xe/dupKSkYNu2bViyZAk0NDTQsGHD577//PnzyMrKem4bZ2dnpKamKmz7+OOPcfnyZcyaNQvHjh3Dt99+Cx8fHxgbG8PX11fe7vTp07h27ZrCewVBwKlTp+Di4vLC8RERERHRm42FN1Ed0aNHDxgbG+Odd96BhYXFM9utWrUKHTt2RFBQEBYtWgRra2t4e3s/t+8pU6bg7NmzmDhxYpWzxk907twZffr0QWBgIFasWIHu3btj586dCs/IfhYNDQ1s3boV77//PqKjozF+/Hj5o8XWr1//wvdPmzYNS5cufW6bAQMGICMjQ+Fsf7du3bBjxw7cvXsX06dPR1hYGKytrbF//340btxY3u7DDz/E5s2bFfpLT0/H/fv3MXDgwBfGR0RERERvNonwrNNXRERKGjNmDABg165dNRzJswmCgA8++AADBgzAtGnTqvXe48ePIzExEcuWLZNvCwgIwIMHD6oU5ERERERE/8Uz3kT0RpBIJJg3bx727t2LoqIipd8nk8mwfft2+V3PAeD27dtITk7GjBkz1BEqEREREdUxLLyJ6I3Rq1cv9O3bF9HR0Uq/R0NDA7Nnz8aAAQPk29atW4eJEycqdQM2IiIiIiIuNSciIiIiIiJSI57xJiIiIiIiIlIjFt5EREREREREasTCm4iIiIiIiEiNtMQ+YEVFBRISEpCeno7Kykr89xLzlStXih3SK5PJZKisrISGhgYkEklNh0NERHWYIAiQyWTQ0tKChgY/PyciIqoNRC+8AwMDkZycjJ49e8LQ0FDsw6tFZWUl0tPTazoMIiJ6g9jY2EBHR6emwyAiIiIliF54//TTT9i0aZPCM3FruydnHGxsbKCpqflKfUmlUqSnp6ukr7qOuVIec6U85kp5zJXyVJmrJ33xbDcREVHtIXrhbWRkBFNTU7EPq1ZPlpdramqq7B+fquyrrmOulMdcKY+5Uh5zpTxV5oqXNhEREdUeon9c7ufnh+XLlyM7OxuVlZViH56IiIiIiIhIVKKf8d62bRtyc3MxePDgp+6/cOGCyBERERERERERqY/ohfeqVavEPiQRUa0glUpRUVFR02EoTSqVAgBKS0u51PwFXiZX2trazCsREVEdIXrh7eTkBAC4cuUKsrOzIZPJYG5ujrZt24odChHRa6OoqAg3btyo8ojF15kgCNDS0sLVq1d5vfELvEyuJBIJzMzM6swTQIiIiN5kohfeBQUFWLRoEQ4fPoz69etDKpXi0aNH6NKlCzZt2gQjIyOxQyIiqlFSqRQ3btyAgYEBmjRpUmuKWEEQUFJSAn19/VoTc02pbq4EQUBeXh5u3LiBd955h2e+iYiIajnRC++wsDDk5OTghx9+QJs2bQAAWVlZWLhwIVauXIkVK1aIHRIRUY2qqKiAIAho0qQJ9PX1azocpQmCAJlMBj09PRbeL/AyuWrSpAmuXLmCiooKFt5ERES1nOh3NT9y5AiWLFkiL7oBoG3btggODsbhw4fFDoeI6LXB4pX+jb8PREREdYfohbeuri40NKoeViKRyG8+Q0RERERERFRXiF54u7q6YunSpbh27Zp825UrVxAWFobevXuLHQ4R0WvL1dUVlpaW8q/27dvDyckJfn5+uH37dk2Hp+DGjRuwtLTEjRs3nro/Li4Orq6uKjlWUVEREhIS5K9dXV0RFxenkr6fJisrC7NmzUKPHj3g4OCAkSNH4tdff1VJ3+Xl5di/f79K+iIiIqLXl+iF97x586Crq4sBAwaga9eu6Nq1KwYNGoT69etj8eLFYodDRPRaCwgIwLFjx3Ds2DH8+uuvWL9+PTIzM7FgwYKaDq1a3Nzc8PXXX6ukry+++AIHDhyQv/7666/h5uamkr7/KzU1FV5eXjAyMsK2bdsQHx8PV1dXfPzxx0hMTHzl/g8ePIioqCgVREpERESvM9FvrmZsbIxdu3YhIyMD//zzD3R1dWFubq5wzTcRET1mZGSEJk2ayF+bmppi+vTpmDdvHgoLC2vNkyD09PSgp6enkr7++8i1hg0bqqTfpx1n0aJFcHNzw7Jly+TbJ02ahHv37iE8PBz9+/d/pRuf1abHxxEREdHLE+WM961bt+T/uLh16xZu3boFY2Nj2Nvbo0OHDtDT05NvJyKi59PR0QEA+f0yCgoKMG/ePDg6OsLFxQWhoaEoLS2Vtz9z5gxGjRoFOzs7DBgwAAcPHpTvO3XqFEaNGgV7e3u4urpiz5498n0LFy7EmjVrMHPmTNjZ2cHNzQ3nz5/H+vXr0blzZ/Tu3Rs//fSTQmxJSUno1asXHB0dERwcjPLycgCKS81TUlLg6uqK3bt3o2fPnrC3t8e8efPkbQVBQFRUFFxdXdGxY0e4uLhg48aN8n42btyIEydOwNLSEoDiUnOZTIbt27ejb9++sLW1xZgxY3Dx4kV5fJaWlvjmm28wePBgdOzYEaNHj8b169efmufU1FRcuXIFvr6+VfZNmjQJkZGR8p9BdnY2xo8fD0dHR/Ts2RMbN26ETCaT/3z8/f3Rq1cvODk5Ye7cuSgqKkJKSgoWLVqEmzdvPneZPhEREdV+ohTerq6uuHfvnvz7vn37Vvl6sp2IiJ7t2rVr2Lp1K3r27Il69eoBAAIDA1FYWIg9e/Zg8+bNSE9Pl5+hzc/Ph6+vLzp06ID4+HhMnjwZCxYsQEZGBrKzs+Ht7Y0uXbogLi4O/v7+WL16tUIxHRMTAycnJ3z77bdo0KABvL29kZ+fj3379sHV1RXLly+XF5gAsH//fqxfvx5RUVE4evQooqOjnzqO3Nxc/Pjjj9i+fTsiIyORnJwsv247ISEBMTExWL58OZKSkjB16lRERkbi3LlzcHNzg6+vLxwcHHDs2LEq/W7atAk7duxAQEAA4uPj0aJFC0yYMAHFxcXyNpGRkQgMDERcXBzu37+PDRs2PDXGjIwM1KtXDxYWFlX2NWzYEB07doREIsG9e/cwevRovPXWW4iNjUVISAi+/PJL7Ny5EwAQERGBu3fv4vPPP0dMTAwyMjKwefNmODg4ICAgAE2bNsWxY8fQrFmz5/zkiYiIqDYTZan54cOHYWJiIv+eiIiUExISgtDQUABAZWUltLW10bdvXwQEBAB4XIgfOnQIJ06ckC87Dw0NhYeHBxYtWoSDBw+ifv36CAoKgoaGBtq0aYOHDx+itLQU8fHxsLKywuzZswEAbdq0QXZ2NrZv345+/foBgPysMAAMHjwYK1asQFBQEPT09PDRRx9hz549uHv3rjzegIAAdOrUCQAwY8YMrF27Fv7+/lXGVVFRgaCgILzzzjuwtLREz549kZ6ejhEjRqBZs2ZYuXIlunfvDgAYNWoUNm3ahMzMTFhbW8PAwADa2toKS/CBx2fKv/zyS8yePVv+QW5oaCj69euHb7/9FiNHjgQAjBs3TqHvr7766qm5LywshKGh4Qt/Rt9//z309fURGhoKLS0tWFhYIC8vD5s2bYKPjw9u3rwJAwMDNG/eHI0aNcKnn34K4PHKBSMjI2hqalYZCxEREdUtohTeLVq0kH+/aNEibNy4EcbGxgpt7t27hwkTJqj1zrRERLXN9OnT0b9/fzx69AiRkZG4efMm5syZI/8wMzs7GzKZDL169VJ4n0wmw9WrV3H58mVYWVkpPMZx3LhxAICNGzfC1tZW4X0ODg7Yu3ev/LWZmZn8ez09PTRu3Fh+rbauri6Ax3fmfvLM6X/3Z2Vlhbt37+Lhw4dPHVvr1q3l3xsaGqKyshIA0K1bN6SlpWHdunXIzs7GhQsXkJeXp3Bm/Wny8/Px4MED2NnZybdpa2ujY8eOyM7OfuZxKyoqntpfgwYNUFhY+NxjAo9/BtbW1tDS+r8p1cHBAXl5eSgoKMDYsWPx8ccfo2/fvujRowcGDBgAd3f3F/ZLREREdYcohffRo0dx5swZAMBff/2FqKgoGBgYKLS5evUqbt68KUY4RES1RqNGjeSF4qefforhw4fj448/xr59+6CtrQ2pVAojIyOFu3w/YWpqqlAM/teTwvnfZDIZpFKp/PV/3//vAv5p/r3/yb09tLW1n9r2ybXq/20fGxuLFStWwMvLC/3798eCBQswduzY5x4XePp4AEAqlSoU7c+K57+sra1RXFyM7OzsKsvNr1+/jqVLlyIsLOyZeXxy7O7du+OXX35BYmIijh8/juDgYBw7dgxr165VKg4iIiKq/US5xtvc3BwnTpxASkoKBEFAamoqUlJS5F8nTpxAYWEhli9fLkY4RES1ko6ODsLCwnDhwgV88cUXAB7//7WwsBASiQStW7dG69atUVpaivDwcJSXl+Ptt9/GxYsXFe6ePXPmTGzfvh3m5uZIS0tTOMapU6dgbm7+0jFeunRJ/v2ZM2fQtGnTKh+0vsiePXswdepUBAQEwMPDAyYmJsjPz5eP4cnZ9f8yMjJC48aNcfr0afm2iooKnDt37qXG1LFjR1hYWMhz/W9fffUVMjIy0KRJE5ibm+PcuXMKZ85PnTqFhg0bokGDBvjiiy9w7tw5uLu7Y8OGDVi5ciWSk5OfOxYiIiKqW0Q5492yZUv5TWbmzp2LJUuWKHXdHBERKbK1tcXw4cOxefNmfPDBB7CwsEDPnj0xd+5cBAUFQVNTE4sXL0b9+vVhbGwMd3d3fPrppwgPD8eHH36I1NRUHD58GJMnT0b9+vWxc+dOfPLJJxg6dChOnz6N3bt3Y/HixS8dX2hoKMLCwlBUVISIiAiMHz++2n2YmJjg+PHj6Nu3Lx49eoT169ejoqJCftdzfX195Obm4saNGwpL4QHAx8cHEREReOutt9C6dWts27YNZWVlL/Wcb4lEguDgYEycOBEaGhoYNWoUtLS08N1332Hnzp3YsGEDNDU14e7ujsjISAQHB2PChAm4fPkyIiMjMXr0aEgkEuTk5GDfvn0IDg5G06ZN8eOPP8LKyko+locPH+LKlSswMzN77goFIiIiqr1EOeP9b8ePH8eVK1fEPiwRUZ0xa9YsaGtrY82aNQCA8PBwmJmZwcfHB+PGjYO5uTk++eQTAICxsTGio6Px999/Y/Dgwdi2bRvWrVuHDh06oHnz5oiOjsZvv/0Gd3d3bNmyBQsXLsSwYcNeOrZRo0bBz88PM2fOxJAhQ+Dt7V3tPgICAlBUVIQhQ4bA398flpaW6NevHy5cuAAA6NevH2QyGd5//33k5+crvNfX1xdeXl5YvHgxPD09kZOTg127dr30s767deuGmJgY3Lx5Ez4+PhgxYgROnDiB6Oho9O/fH8Dj68S3b9+Oa9euwcPDA6GhofD29sa0adMAPL7JnKOjI2bNmgUPDw8UFxfLf3bdunVD69at4e7uLh8fERER1T0S4d/rD0UwZMgQzJ49G71791ZZn+Xl5fD09MTixYvRtWvXp7Y5f/48QkJCcOnSJbRt2xZLly5Fx44dq7RLTEzEzJkzFZ77+iJSqRSnT5+Gvb09NDU1X3ocqu6rrmOulMdcKa8mclVaWorLly/D3NxcfuOy2kAQBBQXF8PAwIBLpl/gZXL1rN8L/j0TERHVPqKvabOyssLHH38MGxsbtGjRosrNdVauXFmt/srKyjBnzhxkZmY+s01xcTEmTZoEd3d3rFq1Cnv27MHkyZPx008/KVx7WFBQwOvMiYiIiIiISKVEX2oOAB988AHMzc2rFN3VlZWVhREjRuDatWvPbffDDz9AV1cX8+fPh4WFBQIDA1GvXj0kJSUptAsPD0fLli1fKSYiIiIiIiKifxP9jHd1z2g/z4kTJ9C1a1fMmjUL9vb2z2yXlpaGTp06yZf3SSQSODo64vTp0/D09JT3deLECQQGBmLSpEkqi5GIiIiIiIjebDVy+9RDhw5h+/bt+OeffyCVSmFubo6PPvoIHh4e1epn9OjRSrXLy8tD27ZtFbY1atRIvjy9vLwcixcvRnBwsNLPd32afz/79lX7UEVfdR1zpTzmSnk1kSupVApBEORftcWTWGtTzDXlZXL15PdBKpUq/D7y75iIiKj2Eb3w3rt3L1avXo2PPvoIkyZNgkwmQ2pqKpYuXYqKigp4eXmp/JglJSVVlrXr6OjIH02zadMmWFtbw8XFBSkpKS99nPT09FeKU1191XXMlfKYK+WJnSstLS2UlJRAJpOJelxVKCkpqekQao3q5KqsrAwVFRXIyMhQY0REREQkBtEL7+3btyMkJETh7PZ7772Hd955B1FRUWopvHV1deVF9hPl5eXQ09PDpUuXsH//fnz33XevfBwbGxuV3NU8PT1dJX3VdcyV8pgr5dVErkpLS3H16lXo6+vXurual5SUQF9fn3c1f4GXyZWGhga0tbXRtm3bKnc154doREREtYvohXd+fv5Tr8d2cHDA7du31XJMU1NT3L17V2Hb3bt38dZbbyE5ORkPHz5Ev379APzfEj4HBwcsXboUH3zwgdLH0dTUVNk/1FXZV13HXCmPuVKemLnS1NSERCKRf9U2tTXumlCdXD1py79bIiKi2k/0u5p36NABCQkJVbbHx8dXuQ5bVezs7HDq1CmFa+xSU1NhZ2eHjz76CImJiUhISEBCQgLCwsIAAAkJCXB1dVVLPERERERERPTmEP2M97x58+Dj44OUlBTY2dkBAE6fPo2MjAxERUWp7Dh5eXkwMjKCnp4eBg4ciHXr1mH58uUYOXIk9u7di5KSEgwaNAgGBgZo0KCB/H05OTkAgNatW6ssFiIiIiIiInpziX7G28HBAXFxcbC1tUV2djZu3LiBLl26IDExEd26dVPZcVxcXPDDDz8AAAwNDREdHY2TJ0/C09MTaWlp2Lp1KwwMDFR2PCIiqr2uX7+O2bNnv7Ddo0ePMH36dLi5ueH9999HamqqCNERERFRbVcjjxOzsLCAv78/rly5Ag0NDZibm0NfX/+V+rx48eJzX9va2iI+Pv6F/XTt2rXKe4mIaiNBEFBWWqHW/uvKo8Ru3bqFK1euvLDdp59+iqZNmyIiIgKXLl3CpEmTkJycXOXJGURERET/JnrhXVxcjJCQECQmJspvZKatrY2hQ4ciKCjolZ6jTUREjwmCgNnjP8P5tOtqPU57mxZYv2PCc28YlpKSghUrVkBHRwfa2tr46quv8Omnn+KXX36BTCaDtbU1Fi9eDAMDA/z9999YsWIFKioqoK+vj9DQUFhaWj6z78LCQixZsgRnz56FpqYmRo0ahTFjxuD69etYsmQJcnNzoaGhAT8/PwwcOBC5ubmYO3cuioqKIAgCvLy8MHr0aAQFBSE3NxfTp09HREQEJk6ciOnTp8PGxkbheEeOHMHmzZsBAO3atUPLli1x/Phx9O7dWzUJJSIiojpJ9KXmwcHByMjIwGeffYa///4bJ06cQFRUFP7++2+sXLlS7HCIiOosCV6fO41nZ2dj8+bN2L17Nw4cOIDc3FzExcXh22+/hYmJCTZt2oTy8nJMnz4dCxYswHfffQdfX19ERkY+t99PP/0Uurq6SEpKwt69e7F3717k5ORg3rx56N+/P7777jtERUUhLCwMWVlZiI2NRfv27REXF4ft27fj5MmTkMlkCAsLg4WFBSIiIgAA27Ztq1J0A8CdO3fQtGlT+WtTU1P5vUGIiIiInkX0M95HjhzBrl27YG1tLd/Wo0cPrFixAhMnTkRwcLDYIRER1TkSiQTrPvNV+1JzqaxCqcdjtWrVCk2aNAEAHD16FGfPnsXQoUMBABUVFWjVqhUuXboEQ0NDdO3aFQAwcOBADBw48Ln9pqSkYMmSJZBIJDA2NsbBgwfx6NEjnDt3Drt37wYANGvWDL1798bx48fh7OyMKVOm4Nq1a3BxcUFAQAA0NJT/DPppS+ur834iIiJ6M4leeDdq1Aj5+flVtpeXl8PQ0FDscIiI6iyJRAI9ffVdeywIAoqLK5Vqq6enJ/9eJpNh2rRp8PT0BAAUFRWhsrKyypljmUyGzMzM5y4119JSnMauXbuGhg0bVimQBUFAZWUl7O3tcejQIfz222/4448/EBUVhdjYWKXGAABNmzZFXl4ejI2NAQC5ubkwNTVV+v1ERET0ZhL9Y/rJkycjMDAQX375Jc6dO4eLFy8iISEBCxYswNChQ/HXX3/Jv4iIqO7p3r079u/fj5KSEshkMgQGBiI6Ohpt2rRBWVmZ/E7hR44cweLFi5/bV7du3fDNN98AeFzA+/j4ICcnB9bW1vKC+s6dO/jll1/g5OSETz75BDt27MCgQYMQEhKCevXqIScnB5qamvL7jjxP3759sX//fgBAVlYW/vnnHzg6Or5KOoiIiOgNIPoZ76CgIABAWFhYlX2bNm3Cpk2bADw+U3PhwgVRYyMiIvUbOXIkbt26heHDh0Mmk8HKygrTp0+Hjo4OIiIisGLFCpSWlqJevXpYtWrVc/uaOnUqQkND4e7uDkEQ4Ofnh7Zt22Lt2rVYsmQJvvzyS8hkMsydOxfW1tZo3Lgx5s+fD3d3d2hpaeG9996Dg4MDHjx4gLKyMnh7eyMmJuaZN1fz9/dHcHAw3n//fUgkEqxevZqrtYiIiOiFJEJdeRZMDZJKpTh9+jTs7e2hqan52vRV1zFXymOulFcTuSotLcXly5dhbm6usCT7dfd4qXkxDAwMlLrO+032Mrl61u8F/56JiIhqnxp5jndpaSm+/fZbZGdnQyqVok2bNnBzc0ODBg1qIhwiInpNlZaW4sMPP3zqPkdHR4SEhIgcEREREVH1iV54X7p0CRMmTICmpiY6duwIqVSKn376CZGRkdi1axfatm0rdkhERPSa0tPTk1/DTURERFRbiV54L1++HM7OzggNDZXfjbayshJBQUFYsWIFduzYIXZIRERERERERGoj+l3NT58+jYkTJyo8AkZLSwsTJ07EqVOnxA6HiIiIiIiISK1EL7ybNGmCa9euVdl+7do11KtXT+xwiIiIiIiIiNRK9KXmI0eORFBQEGbMmAFbW1sAQFpaGiIiIuDl5SV2OERERERERERqJXrhPX78eJSUlGDt2rV4+PAhAKBx48bw8fGBr6+v2OEQERERERERqZXohffBgwcxZswY+Pv7Iz8/H7q6ujA0NBQ7DCKiOk8QBJSWVaqvfwgQBEFt/Yvp+vXrWL9+PT755BOl2v/+++/YsGEDYmNj1RwZERER1QWiF95Lly7Fvn370KBBAzRq1EjswxMRvREEQcCk0H04k3lLrcfpaNEU24JHQiKRqPU46nbr1i1cuXLlhe3Ky8uxdetW7Ny5E2ZmZuoPjIiIiOoE0W+u1rVrV3z//fcoLy8X+9BERG+W16QWTklJwZAhQ+Dl5YXRo0dDEARs2LABHh4e+OCDD7Bo0SIUFxcDAP7++294enrC3d0dI0aMwMWLF5/bd2FhIebMmYMBAwbAzc0Nu3btAvD4DPb48ePh7u6OIUOGICkpCQCQm5uLsWPHwtPTE0OHDsXu3bsBAEFBQcjOzsb06dMBABMnTkR6enqV4508eRL37t3DihUrVJYfIiIiqvtEP+Odn5+PzZs3IyoqCg0bNoSurq7C/sOHD4sdEhFRnSORSLA16EO1LzWXVZYrdbY7OzsbP//8M5o0aYKvv/4aubm5iIuLg4aGBsLDw7Fp0ybMmDED06dPx/r169G1a1ckJSUhMjISGzdufGa/n376KXR1dZGUlITCwkKMGjUK/fr1w7x58zB06FB8+OGHuH37Nry8vNC2bVv8+OOPaN++PQICApCfn48VK1Zg5MiRCAsLw+rVqxEREQEA2LZt21OP1717d3Tv3h0pKSkvlzQiIiJ6I4leeI8YMQIjRowQ+7BERG8ciUQCfT1ttfUvCAKKpRVKtW3VqhWaNGkCADh69CjOnj2LoUOHAgAqKirQqlUrXLp0CYaGhujatSsAYODAgRg4cOBz+01JScGSJUsgkUhgbGyMgwcP4tGjRzh37pz8bHazZs3Qu3dvHD9+HM7OzpgyZQquXbsGFxcXBAQEQEND9MVfRERE9IYRtfAuLCzEoEGDoKenJ+ZhiYiohv37//symQzTpk2Dp6cnAKCoqAiVlZXIyclReI9MJkNmZiYsLS2f2a+WluI0du3aNTRs2LDKTd8EQUBlZSXs7e1x6NAh/Pbbb/jjjz8QFRXFG6QRERGR2onyMX9eXh58fHzg5OQER0dHjB8/Hrdv3xbj0ERE9Jrp3r079u/fj5KSEshkMgQGBiI6Ohpt2rRBWVkZUlNTAQBHjhzB4sWLn9tXt27d8M033wB4XMD7+PggJycH1tbW8oL6zp07+OWXX+Dk5IRPPvkEO3bswKBBgxASEoJ69eohJycHmpqakEql6h04ERERvbFEOeP9ySefID8/H+vWrYOGhga2bduGBQsWYOfOnWIcnoiIXiMjR47ErVu3MHz4cMhkMlhZWWH69OnQ0dFBREQEVqxYgdLSUtSrVw+rVq16bl9Tp05FaGgo3N3dIQgC/Pz80LZtW6xduxZLlizBl19+CZlMhrlz58La2hqNGzfG/Pnz4e7uDi0tLbz33ntwcHDAgwcPUFZWBm9vb8TExGDixImYPn06bGxsRMoKERER1WUSQYSHsHbr1g2fffYZrK2tAQBXrlyBm5sbTp48CX19fXUfXu2kUilOnz4Ne3t7aGpqvjZ91XXMlfKYK+XVRK5KS0tx+fJlmJub16pLcQRBQHFxMQwMDGr948TU7WVy9azfC/49ExER1T6inPEuKCiAqamp/PXbb78NTU1N3Lt3Dy1atBAjBCIiqoVKS0vx4YcfPnWfo6MjQkJCRI6IiIiIqPpEKbxlMlmVT/i1tLQgk8lU0n95eTk8PT2xePFi+d1w/+v8+fMICQnBpUuX0LZtWyxduhQdO3YE8PhMxLZt27B37148ePAANjY2WLx4Mdq2bauS+IiI6OXo6enJr+EmIiIiqq1EubmaRCKpUniralliWVkZZs+ejczMzGe2KS4uxqRJk9C5c2fExcXBwcEBkydPRnFxMQBg79692LFjBxYvXowDBw7AzMwMEydORElJiUpiJCJShghX/lAtwt8HIiKiukOUM96CIGDq1KnQ1v6/58mWlpZi7ty50NXVVWhbnRuuZWVlYc6cOS/8x8kPP/wAXV1dzJ8/HxKJBIGBgTh69CiSkpLg6emJ+Ph4+Pr6ok+fPgCAJUuWwMnJCampqXB2dq7GSImIqk9bWxsSiQR5eXlo0qRJrbleWhAElJWVQUNDo9bEXFOqmytBEJCXlweJRKIwdxIREVHtJErhPW3atCrbnJycXrnfEydOoGvXrpg1axbs7e2f2S4tLQ2dOnWS/2NHIpHA0dERp0+fhqenJ+bPnw8zMzN5e4lEAkEQUFhY+MoxEhG9iKamJszMzHDjxg1cuXKlpsNRmiAIqKiokH9wQM/2MrmSSCQwMzPjDdSIiIjqgBorvFVh9OjRSrXLy8urcr12o0aN5MvTO3furLAvNjYWlZWV6NSpU7XiUcUzYJ/0wefJvhhzpTzmSnk1lSt9fX20adMGFRUVoh73VUilUmRmZsLc3JzF4Qu8TK60tbWf+nxx/h0TERHVPqIU3jWtpKQEOjo6Ctt0dHRQXl5epW1aWhpWr16N8ePHo0mTJtU6Tnp6+ivFqa6+6jrmSnnMlfKYK+U97x4bpIi5IiIiejO9EYW3rq5ulSK7vLy8yvNyT506hYkTJ6JXr16YMWNGtY9jY2Ojkud4p6enq6Svuo65Uh5zpTzmSnnMlfJUmasnfREREVHt8UYU3qamprh7967Ctrt37+Ktt96Sv05JScGUKVPg7OyMdevWQUOj+jd819TUVNk/PlXZV13HXCmPuVIec6U85kp5zBUREdGbSZTHif3b9u3bkZOTI+ox7ezscOrUKfndzwVBQGpqKuzs7AAAly5dgp+fH3r27IkNGzbwDrJERERERESkMqIX3lFRUaLcPCgvLw+lpaUAgIEDB6KgoADLly9HVlYWli9fjpKSEgwaNAgAEBwcjGbNmmHRokW4f/8+8vLyFN5PRERERERE9LJEL7wHDx6MLVu24MqVK0+9uZmquLi44IcffgAAGBoaIjo6GidPnoSnpyfS0tKwdetWGBgYIC8vD6dOnUJWVhbeffdduLi4yL+evJ+IiIiIiIjoZYl+jffRo0dx69YtxMfHP3X/hQsXXqrfixcvPve1ra3tU4/ZpEmTKm2JiIiIiIiIVEX0wnvVqlViH5KIiIiIiIioxoheeDs5OQEAioqKcO3aNbRt2xbl5eUwNDQUOxQiIiIiIiIitRP9Gu/y8nIEBQXByckJw4cPx507d7Bw4UKMHz8eDx8+FDscIiIiIiIiIrUSvfAODw9HVlYW4uPjoaurCwDw9/fH/fv3ERYWJnY4RERERERERGoleuGdnJyMwMBAWFpayrdZWloiNDQUR48eFTscIiIiIiIiIrUSvfB+9OgR9PX1q2yXyWSQSqVih0NERERERESkVqIX3q6urli/fj2Kiork265fv46wsDD07t1b7HCIiIiIiIiI1Er0wjs4OBgaGhpwcnJCSUkJhg0bhv79+8PY2BhBQUFih0NERERERESkVqI/TszIyAiRkZG4du0a/vnnH1RWVsLc3BwWFhZih0JERERERESkdqKf8e7bty8ePHiAVq1a4d1338V7770HCwsL3LlzB927dxc7HCIiIiIiIiK1EuWMd1JSEn799VcAwM2bN7Fs2TL5o8SeuHnzJjQ1NcUIh4iIiIiIiEg0opzxdnJyUngtCEKVNu+88w42b94sRjhEREREREREohHljHfDhg2xcuVKAECLFi3g6+sLAwMDMQ5NREREREREVKNEv7natGnTcO/ePVy4cAEymQzA4zPg5eXlOH/+PCZNmiR2SERERERERERqI3rhvX//fixbtgyVlZWQSCTyZecSiQS2trYsvImIiIiIiKhOEf2u5lFRUZgyZQrOnDmDRo0a4eeff8b333+PDh06oF+/fmKHQ0RERERERKRWohfeubm58PDwgI6ODqytrXH69Gm0bdsWAQEBiI2NFTscIiIiIiIiIrUSvfBu2LAh7t27BwBo06YNLly4AAAwNTXFnTt3xA6HiIiIiIiISK1EL7wHDRqEBQsWIDU1FT179kRcXBx+/PFHbNq0Ca1btxY7HCIiIiIiIiK1Ev3manPnzoWRkRHu37+Pvn37YtiwYQgJCUGDBg3kjxwjIiIiIiIiqitEL7y1tbUxbdo0+etZs2Zh1qxZYodBREREREREJArRl5oDwMmTJzF9+nQMGTIEt2/fxtatW3Hw4MGaCIWIiIiIiIhIrUQvvJOTkzFp0iS0aNECly9fRmVlJbS0tLBw4ULs3r1b7HCIiIiIiIiI1Er0wnvjxo1YsmQJFixYAE1NTQCAr68vVqxYgc8//1zscIiIiIiIiIjUSvTC++rVq7C3t6+y3dbW9qUfJ1ZeXo7BgwcjJSXlmW3Onz8PLy8v2NnZYdiwYTh79qzC/u+//x7vvfce7OzsMHXqVPkjz4iIiIiIiIheheiFd9u2bfHbb79V2R4fH4+2bdtWu7+ysjLMnj0bmZmZz2xTXFyMSZMmoXPnzoiLi4ODgwMmT56M4uJiAMCZM2cQGBiIadOmYd++fSgoKMCiRYuqHQsRERERERHRf4l+V/NFixZhypQp+PPPP1FRUYGoqChcvXoVZ8+exZYtW6rVV1ZWFubMmQNBEJ7b7ocffoCuri7mz58PiUSCwMBAHD16FElJSfD09MSXX36JQYMGwcPDAwAQHh6OPn364Pr162jZsuXLDpWIiIiIiIhI/MK7c+fOSExMlN9I7cGDB7C3t0d4eDiaN29erb5OnDiBrl27YtasWU9dvv5EWloaOnXqBIlEAgCQSCRwdHTE6dOn4enpibS0NEycOFHevlmzZmjevDnS0tJEL7wFQUB5WSVKS8rl18DT00mlUuZKScyV8pgr5TFXypNKpS/8kJiIiIjqLtELbwBo0qQJZsyY8cr9jB49Wql2eXl5VZaxN2rUSL48PTc3F2+99VaV/Tk5OdWKRyqVVqv9fwmCgLkTPseF9BsAfnilvt4szJXymCvlMVfKY66U0crCBBt32bxyP6861xAREZH4RC+8CwsLsW3bNmRkZKCsrKzKGYCdO3eq/JglJSXQ0dFR2Kajo4Py8nIAQGlp6XP3Kys9Pf2V4hQEQX7dORER1S0yqYD09HT56isiIiJ6c4heeM+fPx/nzp3DoEGDYGRkJMoxdXV1qxTR5eXl0NPTe+5+fX39ah3HxsbmlZdbRu6ywV8pqWhn2Z5LN19AKpXiwvnz6GBlxVy9AHOlPOZKecyV8qRSKS5fzoStre0r50oqlb7yB71EREQkLtEL7+PHj2Pnzp2wtbUV7Zimpqa4e/euwra7d+/Kl5c/a3+TJk2qdRxNTU2V/ONTv54OGjU25j9kX0AqlcLQWI+5UgJzpTzmSnnMlfKkUimu39BU2TxBREREtYvojxNr0qSJ6P/osLOzw6lTp+TL2gVBQGpqKuzs7OT7T548KW9/+/Zt3L59W76fiIiIiIiI6GWJUnjfunVL/vW///0PQUFBOH78OK5fv66w79atWyo7Zl5eHkpLSwEAAwcOREFBAZYvX46srCwsX74cJSUlGDRoEABg1KhR+OabbxAbG4uMjAzMnz8f7777Lh8lRkRERERERK9MlKXmrq6u8pvJPDnrPG7cOEgkEgiCoPDfCxcuqOSYLi4uWLlyJTw9PWFoaIjo6GiEhIRg//79sLS0xNatW2FgYAAAcHBwwLJlyxAREYGHDx/C2dkZoaGhKomDiIiIiIiI3myiFN6HDx9W+zEuXrz43Ne2traIj49/5vs9PT3h6empltiIiIiIiIjozSVK4d2iRQsAQFFREQwMDKCh8X8r3C9evIjmzZuLdodzIiIiIiIiIjGJdnO1zz//HL169cLp06cVtq9evRouLi7YtWuXWKEQERERERERiUaUM97ffPMNPv30U8ydOxfW1tYK+zZt2oSvv/4a69atQ6NGjeDm5iZGSERERERERESiEKXwjomJQWBgILy8vKrs09fXx5gxY1BRUYHPPvuMhTcRERERERHVKaIsNb98+TK6dev23Daurq74559/xAiHiIiIiIiISDSiFN7Gxsa4d+/ec9sUFBSgXr16YoRDREREREREJBpRCu9evXrhs88+e26bzz77DJ07dxYjHCIiIiIiIiLRiFJ4T506FSdPnsSECRPw+++/4+HDh5DJZLh//z6OHTuGCRMm4M8//4S/v78Y4RARERERERGJRpSbqzVt2hRfffUVli5digkTJlTZ7+zsjN27d8PCwkKMcIiIiIiIiIhEI0rhDQBvv/02Pv/8c9y5cwcZGRkoLCxEgwYNYGVlhYYNG4oVBhEREREREZGoRCu8nzA1NYWpqanYhyUiIiIiIiKqEaJc401ERERERET0pmLhTURERERERKRGLLyJiIiIiIiI1Ej0wnvs2LEoKCiosv3evXvw9PQUOxwiIiIiIiIitRLl5mpHjx7FmTNnAAB//fUXoqKiYGBgoNDm6tWruHnzphjhEBEREREREYlGlMLb3Nwc27dvhyAIEAQBqamp0NbWlu+XSCQwMDDA8uXLxQiHiIiIiIiISDSiFN4tW7bEzp07AQCLFi1CYGAgDA0NxTg0ERERERERUY0S/TneK1euBADk5eWhsrISgiAo7G/evLnYIRERERERERGpjeiF9++//47Fixfj9u3bAABBECCRSOT/vXDhgtghEREREREREamN6IX3smXLYGtriy1btnC5OREREREREdV5ohfeOTk52L59O1q2bCn2oYmIiIiIiIhEJ/pzvDt37oyTJ0+KfVgiIiIiIiKiGiH6Ge8uXbpg6dKl+OWXX9C6dWuFx4oBwLRp08QOiYiIiIiIiEhtauTmah07dkR+fj7y8/MV9kkkkmr1VVZWhqVLlyI5ORl6enrw9fWFr6/vU9seO3YM4eHhuH79Ouzs7BAcHIw2bdoAeHyDt40bNyI2NhYlJSVwdnZGcHAwGjZs+HKDJCIiIiIiIvr/RC+8d+3apbK+wsPDcfbsWcTExODWrVtYsGABmjdvjoEDByq0y8zMxOTJkzFp0iS4u7vj66+/hre3N5KSklCvXj3s27cPX3/9NdauXYsGDRpgyZIlCAwMxJYtW1QWKxEREREREb2ZRC+8AeDChQvIzMyETCYD8PiMc3l5Oc6fP4+lS5cq1UdxcTFiY2Oxbds2WFtbw9raGpmZmfjqq6+qFN579uyBg4MDZsyYAQCYN28efvnlF3z33XcYOXIkfv31V7i5ucHJyQkAMGHCBMyZM0eFIyYiIiIiIqI3leiF98aNG7Fx40Y0btwY+fn5MDU1xd27dyGVStGvXz+l+8nIyEBlZSUcHBzk2zp16oSoqCjIZDJoaPzffeOuX78OW1tb+WuJRIJ27drh9OnTGDlyJBo0aIBffvkFPj4+qF+/Pg4ePIgOHTqoZsBERERERET0RhO98N63bx+WLl2KDz/8EK6uroiJiUH9+vUxa9YstGrVSul+8vLyYGJiAh0dHfm2xo0bo6ysDA8ePFC4Prtx48a4c+eOwvtzcnJQv359AMDUqVPh5+eHXr16QVNTE02aNMG+ffuqPTapVFrt9zyrD1X0VdcxV8pjrpTHXCmPuVKeKnPFfBMREdU+ohfe9+/fR8+ePQEAHTp0wKlTp/DBBx9g1qxZmD59OubOnatUPyUlJQpFNwD56/LycoXtgwYNwscff4zBgwejZ8+e+O6775Ceno6uXbsCAG7evAk9PT1ERUXB2NgY4eHhCAgIwI4dO6o1tvT09Gq1F6uvuo65Uh5zpTzmSnnMlfKYKyIiojeT6IW3qakprl+/jubNm8PCwgLnz5/HBx98AENDQ9y7d0/pfnR1dasU2E9e6+npKWzv1asXpk6dCn9/f0ilUnTt2hVDhgxBUVERBEHAggULMH/+fPTp0wcAsGHDBvTp0wdpaWmws7NTOiYbGxtoamoq3f5ppFIp0tPTVdJXXcdcKY+5Uh5zpTzmSnmqzNWTvoiIiKj2EL3w9vLywuzZs7FixQq899578PHxwVtvvYU//vgD7du3V7ofU1NT3L9/H5WVldDSejyMvLw86OnpwdjYuEp7Pz8/jB8/HoWFhWjUqBFmzJiBFi1a4N69e7h9+zYsLS3lbZs1awYTExPcvHmzWoW3pqamyv7xqcq+6jrmSnnMlfKYK+UxV8pjroiIiN5MGi9uolpTpkzBvHnzoK+vD1tbWyxatAgHDx6EIAhYsWKF0v106NABWlpaOH36tHzbyZMnYWNjo3BjNQD4/vvvsXz5cujo6KBRo0YoLS1FSkoKunbtivr160NHRwfZ2dny9vfu3cODBw9gZmb2yuMlIiIiIiKiN1uNPE7Mw8ND/r2Xlxe8vLyq3Ye+vj48PDywZMkSrFixArm5udixYwdWrlwJ4PHZbyMjI+jp6eHtt9/GokWL0KVLF7Rr1w5r1qxBs2bN0KtXL2hoaMDT0xOrV6+GiYkJ6tevj9WrV8POzg42NjaqGjIRERERERG9oUQvvCsqKpCQkID09HRUVlZCEASF/U8KZ2UsWrQIS5Ysgbe3NwwNDeHv74/+/fsDAFxcXLBy5Up4enqiY8eOWLJkCVatWoUHDx6ge/fuiI6Olp8ZDwgIwIYNGzBnzhyUlZWhR48eWLNmDSQSieoGTkRERERERG8k0QvvwMBAJCcno2fPnjA0NHylvvT19bF69WqsXr26yr6LFy8qvB42bBiGDRv21H50dXWxYMECLFiw4JXiISIiIiIiIvov0Qvvn376CZs2bYKzs7PYhyYiIiIiIiISneg3VzMyMoKpqanYhyUiIiIiIiKqEaIX3n5+fli+fDmys7NRWVkp9uGJiIiIiIiIRCX6UvNt27YhNzcXgwcPfur+CxcuiBwRERERERERkfqIXnivWrVK7EMSERERERER1RjRC28nJyexD0lERERERERUY0QpvPv27Yuvv/4aJiYmcHV1fe7zsQ8fPixGSERERERERESiEKXwnjZtGurVqwcA8Pf3F+OQRERERERERK8FUQrvoUOHPvX7wsJCaGtrQ09PT4wwiIiIiIiIiEQn+jXeFRUViI6Oxt69e5Gfnw8AaNq0KXx8fODt7S12OERERERERERqJXrhHRoait9++w1z586FlZUVZDIZzpw5g4iICOTn52P27Nlih0RERERERESkNqIX3gcPHkR0dDQ6d+4s39a+fXu0aNECs2fPZuFNREREREREdYqG2Ac0NDSEllbVet/IyOip24mIiIiIiIhqM1EK71u3bsm/xo4diwULFuDo0aO4f/8+CgoK8PfffyMoKIh3PCciIiIiIqI6R5RTzP9+drcgCACASZMmVdm2dOlSjBw5UoyQiIiIiIiIiEQhSuF9+PBhMQ5DRERERERE9NoRpfBu0aJFlW13795FeXm5GIcnIiIiIiIiqjGi380sKSkJISEhKCgoUNguCAIkEgkuXLggdkhEREREREREaiN64b1y5Uq4ubnho48+gp6entiHJyIiIiIiIhKV6IV3cXExxo4dC3Nzc7EPTURERERERCQ60Z/jPXr0aHz++ee8vpuIiIiIiIjeCKKf8R44cCC8vb2RkJCAxo0byx8p9gTvgE5ERERERER1ieiF97x58/DOO+9g8ODBvMabiIiIiIiI6jzRC+8bN25gy5YtaNmy5Sv3VVZWhqVLlyI5ORl6enrw9fWFr6/vU9seO3YM4eHhuH79Ouzs7BAcHIw2bdrI9yclJWH9+vW4c+cOHB0dERoa+tTHoBERERERERFVh+jXePfp0wd//PGHSvoKDw/H2bNnERMTg5CQEGzcuBFJSUlV2mVmZmLy5Mno27cvDhw4ACsrK3h7e+PRo0cAgNTUVMyZMwfjxo1DXFwcdHR0MHv2bJXESERERERERG820c94t2jRAsuXL0dCQgJatmwJTU1Nhf0rV65Uqp/i4mLExsZi27ZtsLa2hrW1NTIzM/HVV19h4MCBCm337NkDBwcHzJgxA8Dj5e6//PILvvvuO4wcORI7duzABx98gJEjRwIAAgMD4e3tjXv37qFhw4YqGDURERERERG9qUQ/452fn4/3338fb7/9dpWiuzoyMjJQWVkJBwcH+bZOnTohLS0NMplMoe3169dha2srfy2RSNCuXTucPn0aAHDixAn069dPvr9ly5Y4cuQIi24iIiIiIiJ6ZaKf8Vb2jPaL5OXlwcTEBDo6OvJtjRs3RllZGR48eKBQNDdu3Bh37txReH9OTg7q16+PgoICPHz4EFKpFOPHj0dGRgZsbW2xZMkSmJqaqiRWIiIiIiIienOJXngDwKFDh7B9+3b8888/kEqlMDc3x0cffQQPDw+l+ygpKVEougHIX//3GeGDBg3Cxx9/jMGDB6Nnz5747rvvkJ6ejq5du6K4uBgAEBYWhlmzZmHGjBn49NNPMXnyZMTFxUFDQ/lFAVKpVOm2L+pDFX3VdcyV8pgr5TFXymOulKfKXDHfREREtY/ohffevXuxevVqfPTRR5g0aRJkMhlSU1OxdOlSVFRUwMvLS6l+dHV1qxTYT17/9zFlvXr1wtSpU+Hv7w+pVIquXbtiyJAhKCoqki939/Lykhf+a9euhbOzM06fPg1HR0elx5aenq50WzH7quuYK+UxV8pjrpTHXCmPuSIiInoziV54b9++HSEhIQpnt9977z288847iIqKUrrwNjU1xf3791FZWQktrcfDyMvLg56eHoyNjau09/Pzw/jx41FYWIhGjRphxowZaNGiBUxMTKCtra3waDETExM0aNAAOTk51RqbjY3NK123Djw+k5Genq6Svuo65kp5zJXymCvlMVfKU2WunvRFREREtYfohXd+fj7s7e2rbHdwcMDt27eV7qdDhw7Q0tLC6dOn0blzZwDAyZMnYWNjU2V5+Pfff4+0tDQEBgaiUaNGKC0tRUpKClatWgUtLS1YW1sjIyMDbm5uAIB79+7h/v371X6Ot6ampsr+8anKvuo65kp5zJXymCvlMVfKY66IiIjeTKLf1bxDhw5ISEiosj0+Ph5t27ZVuh99fX14eHhgyZIlOHPmDA4dOoQdO3Zg7NixAB6f/S4tLQUAvP3229i7dy+Sk5Nx5coVzJkzB82aNUOvXr0AAOPGjcOuXbuQmJiI7OxsBAQEoEOHDgp3QiciIiIiIiJ6GaKf8Z43bx58fHyQkpICOzs7AMDp06eRkZGBqKioavW1aNEiLFmyBN7e3jA0NIS/vz/69+8PAHBxccHKlSvh6emJjh07YsmSJVi1ahUePHiA7t27Izo6Wn5mfODAgSgoKMCaNWuQn58PJycnbN68GRKJRLWDJyIiIiIiojeO6IW3g4MD4uLiEBsbi+zsbOjq6qJLly5Yv349mjVrVq2+9PX1sXr1aqxevbrKvosXLyq8HjZsGIYNG/bMvkaMGIERI0ZU6/hEREREREREL1IjjxOrrKyEm5ubfCn3jh07UFBQUO3Cm4iIiIiIiOh1J/o13j/88AO8vLyQmpoq35aeno4RI0bg0KFDYodDREREREREpFaiF94RERFYunQpfHx85NvWr1+PkJAQrF+/XuxwiIiIiIiIiNRK9MI7JycHDg4OVbZ36tQJ169fFzscIiIiIiIiIrUSvfC2srLCl19+WWX7/v370b59e7HDISIiIiIiIlIr0W+utnDhQowfPx6//vorOnToAODxHcgfPHiArVu3ih0OERERERERkVqJXnjb2trixx9/xPfff48rV65AS0sLXbt2xQcffAAjIyOxwyEiIiIiIiJSqxp5nFjDhg3h6emJa9euwcLCAhUVFTA0NKyJUIiIiIiIiIjUSvRrvMvKyhAYGAgnJycMHz4cubm58uXnDx8+FDscIiIiIiIiIrUSvfBes2YNsrOzER8fD11dXQCAv78/7t+/j7CwMLHDISIiIiIiIlIr0Qvv5ORkBAYGwtLSUr7N0tISoaGhOHr0qNjhEBEREREREamV6IX3o0ePoK+vX2W7TCaDVCoVOxwiIiIiIiIitRK98HZ1dcX69etRVFQk33b9+nWEhYWhd+/eYodDREREREREpFaiF97BwcHQ0NCAk5MTSkpKMGzYMPTv3x/GxsYICgoSOxwiIiIiIiIitRL9cWJGRkaIjIzE9evXkZ2djcrKSpibm8PCwkLsUIiIiIiIiIjUTtTCu6ioCJqamtDX10fLli3RsmVL+b68vDysWbMG4eHhYoZEREREREREpFaiLDXPycmBj48PunTpAkdHR0yePFn+zG6pVIrPPvsMAwYMwK+//ipGOERERERERESiEaXwXrZsGW7evInw8HCsX78eeXl5WLlyJe7cuQMvLy+sW7cOgwcPRlJSkhjhEBEREREREYlGlKXmJ0+exIYNG9C9e3cAgJWVFYYOHYqMjAwIgoB9+/bBxsZGjFCIiIiIiIiIRCVK4V1QUKBw87RWrVqhoqICLVq0wIYNG6CtrS1GGERERERERESiE6XwFgQBmpqaCts0NTXh7+9fJ4puQRAAPL5e/VU96UMVfdV1zJXymCvlMVfKY66Up8pcPenjydxDRERErz/RHyf2b/Xq1avJw6uMTCYDAKSnp6usT1X2VdcxV8pjrpTHXCmPuVKeKnP1ZO4hIiKi159ohXdiYiIMDQ3lr2UyGZKTk9GoUSOFdh4eHmKFpDJaWlqwsbGBhoYGJBJJTYdDRER1mCAIkMlk0NKq0c/OiYiIqBokgghr1VxdXZVqJ5FIcPjwYTVHQ0RERERERCQeUQpvIiIiIiIiojeVKM/xJiIiIiIiInpTsfAmIiIiIiIiUiMW3kRERERERERqxMKbiIiIiIiISI1YeBMRERERERGpEQtvIiIiIiIiIjVi4S2CsrIyBAQEoHPnznBxccGOHTue2fb8+fPw8vKCnZ0dhg0bhrNnzz613ZYtW7Bw4UJ1hVxjVJUrQRCwdetWuLq6wtHREd7e3sjKyhJjCKJRVa6kUinWrl0LZ2dnODg4YMaMGbh7964YQxCNOv4GExMTYWlpqa6Qa4wqc9W5c2dYWloqfD169EjdQxCVKvOVlJSEAQMGwN7eHr6+vrh586a6wyciIiKRsPAWQXh4OM6ePYuYmBiEhIRg48aNSEpKqtKuuLgYkyZNQufOnREXFwcHBwdMnjwZxcXFCu2+//57REZGihW+qFSVq71792LHjh1YvHgxDhw4ADMzM0ycOBElJSViD0ltVJWrrVu34ocffsCGDRsQGxuLhw8fYv78+WIPR61U/TdYUFCA5cuXixW+qFSVqzt37qCwsBCHDh3CsWPH5F8GBgZiD0mtVJWv1NRUzJkzB+PGjUNcXBx0dHQwe/ZssYdDRERE6iKQWj169EiwsbER/vzzT/m2TZs2CR999FGVtrGxsYKrq6sgk8kEQRAEmUwm9OvXTzhw4IAgCIJQUVEhBAcHCzY2NkL//v2FBQsWiDMIkagyV15eXkJ0dLS8fXl5uWBvby8cO3ZMzaMQhypzFRkZKSQnJ8vbHzp0SLC1tVXzCMSjylw9ERgYKIwcOVJo166deoMXmSpz9fvvvwvOzs7iBF5DVJmvqVOnCgsXLpS3v3btmtCnTx8hPz9fzaMgIiIiMfCMt5plZGSgsrISDg4O8m2dOnVCWloaZDKZQtu0tDR06tQJEokEACCRSODo6IjTp08DeHzG5OLFi9i/f79Cf3WFKnM1f/58fPDBB/L2EokEgiCgsLBQ/QMRgSpzNW3aNPTr1w8AkJ+fj9jYWDg5OYkzEBGoMlcAcOLECZw4cQJTpkwRJX4xqTJXWVlZMDc3Fy32mqDKfJ04cUL+dwgALVu2xJEjR9CwYUP1D4SIiIjUjoW3muXl5cHExAQ6OjrybY0bN0ZZWRkePHhQpe1bb72lsK1Ro0bIyckBABgbG2Pv3r1o37692uOuCarMVefOndG0aVP5vtjYWFRWVqJTp07qG4CIVJmrJyIiItCjRw+kpqbWqfsHqDJX5eXlWLx4MYKDg6Gnp6f22MWmylxlZ2ejpKQEY8aMgYuLCyZOnIjLly+rfQxiUlW+CgoK8PDhQ0ilUowfPx7Ozs7w8/PDnTt3xBgGERERiYCFt5qVlJQo/KMMgPx1eXm5Um3/266uUleu0tLSsHr1aowfPx5NmjRRcdQ1Qx25GjJkCL7++mt0794dvr6+KCoqUkPk4lNlrjZt2gRra2u4uLioMeKao8pc/fPPP3j48CH8/PywefNm6OnpwcfHp878XgGqy9eT67zDwsLg7u6OLVu2oLy8HJMnT65y5pyIiIhqJxbeaqarq1vlH2BPXv/3jNmz2tbFM2tPo45cnTp1CuPHj0evXr0wY8YMNURdM9SRq9atW8PGxgbh4eEoLS1FcnKyGiIXn6pydenSJezfvx8BAQHqDbgGqfL36rPPPkNCQgJ69OgBW1tbrF27FmVlZfj555/VOAJxqSpfmpqaAAAvLy94eHjI83Xp0iWFyxyIiIio9mLhrWampqa4f/8+Kisr5dvy8vKgp6cHY2PjKm3/+xinu3fvVlmeWFepOlcpKSnw9fVFt27dsG7dOmho1J1fd1Xm6ueff1ZY0qqrq4uWLVvi/v37ahyBeFSVq+TkZDx8+BD9+vWDg4MDJk6cCABwcHDAt99+q/6BiECVv1c6OjqoV6+efJ+uri7MzMzq1PJpVeXLxMQE2traaNOmjXyfiYkJGjRoUOWSECIiIqqd6k4l8prq0KEDtLS0FM5anDx5EjY2NlUKQTs7O5w6dQqCIAB4/Czq1NRU2NnZiRlyjVFlri5dugQ/Pz/07NkTGzZsgLa2tmjjEIMqc7V69WokJCTI2xcVFeHKlSuwsLBQ+zjEoKpcffTRR0hMTERCQgISEhIQFhYGAEhISICrq6to41EnVeVKEAS89957iIuLk7cvLi7G1atXFYrL2k5V+dLS0oK1tTUyMjLk7e/du4f79++jRYsWooyFiIiI1IuFt5rp6+vDw8MDS5YswZkzZ3Do0CHs2LEDY8eOBfD47EhpaSkAYODAgfLnA2dlZWH58uUoKSnBoEGDanIIolFlroKDg9GsWTMsWrQI9+/fR15ensL7aztV5up///sfPvvsM/z666/IzMzEvHnz0KpVK/Tq1avGxqdKqspVgwYN0Lp1a/mXqakpgMdL9A0NDWtsfKqkqlxJJBK8++67iIyMREpKCjIzMzF//nw0bdoUvXv3rskhqpQq/w7HjRuHXbt2ITExEdnZ2QgICECHDh1ga2tbY+MjIiIiFaqJZ5i9aYqLi4X58+cL9vb2gouLi/D555/L97Vr107hGcFpaWmCh4eHYGNjIwwfPlw4d+7cU/tcsGBBnXuOtyCoJle5ublCu3btnvr13+cx12aq+r2SSqVCdHS08O677wq2traCn5+fkJOTI+ZQ1E4df4N//vlnnXuOtyCoLlelpaXCypUrBWdnZ8HOzk6YPHmycOvWLTGHIgpV/m7t27dP6NOnj2BraytMmDBBuH37tljDICIiIjWTCML/X/dGRERERERERCrHpeZEREREREREasTCm4iIiIiIiEiNWHgTERERERERqRELbyIiIiIiIiI1YuFNREREREREpEYsvImIiIiIiIjUiIU3ERERERERkRqx8CZ6Dbi6usLS0lL+1b59ezg5OcHPzw+3b9+u6fAU3LhxA5aWlrhx48ZT98fFxcHV1VUlxyoqKkJCQoL8taurK+Li4lTS9789GdO/v6ytreHi4oLQ0FCUl5cr1Y8gCPjqq69UHh8RERER1W5aNR0AET0WEBAANzc3AIBMJkNWVhZCQkKwYMEC7Ny5s4ajU56bmxveffddlfT1xRdfICUlBR4eHgCAr7/+GgYGBirp+2liY2PRrFkzAEBZWRlOnDiBkJAQmJiYYNq0aS98/19//YVly5bhf//7n9piJCIiIqLah4U30WvCyMgITZo0kb82NTXF9OnTMW/ePBQWFsLIyKgGo1Oenp4e9PT0VNKXIAgKrxs2bKiSfp+lYcOGCj8DMzMzpKam4tChQ0oV3v+Nl4iIiIgI4FJzoteajo4OAEBD4/GfakFBAebNmwdHR0f5MujS0lJ5+zNnzmDUqFGws7PDgAEDcPDgQfm+U6dOYdSoUbC3t4erqyv27Nkj37dw4UKsWbMGM2fOhJ2dHdzc3HD+/HmsX78enTt3Rq9evZCYmKgQW1JSEnr16gVHR0cEBwfLl2P/e6l5SkoKXF1dsXv3bvTs2RP29vaYN2+evK0gCIiKioKrqys6duwIFxcXbNy4Ud7Pxo0bceLECVhaWgJQXGouk8mwfft29O3bF7a2thgzZgwuXrwoj8/S0hLffPMNBg8ejI4dO2L06NG4fv36S/0MNDU15a8PHz4MDw8P2NjYoHPnzpg9ezYePXqEGzduYOzYsfJjp6SkAAD27t0LV1dXODg4VImRiIiIiN4MLLyJXlPXrl3D1q1b0bNnT9SrVw8AEBgYiMLCQuzZswebN29Geno6li1bBgDIz8+Hr68vOnTogPj4eEyePBkLFixARkYGsrOz4e3tjS5duiAuLg7+/v5YvXo1fvrpJ/nxYmJi4OTkhG+//RYNGjSAt7c38vPzsW/fPri6uiIkJAQymUzefv/+/Vi/fj2ioqJw9OhRREdHP3Ucubm5+PHHH7F9+3ZERkYiOTlZft12QkICYmJisHz5ciQlJWHq1KmIjIzEuXPn4ObmBl9fXzg4OODYsWNV+t20aRN27NiBgIAAxMfHo0WLFpgwYQKKi4vlbSIjIxEYGIi4uDjcv38fGzZsUDr/giAgJSUF3333HQYMGCD/mcyYMQOjR49GYmIiNmzYgD/++AP79+9Hs2bNEBkZCQA4duwYHBwccOTIEWzcuBGLFy9GfHw8OnXqhLFjx+Lhw4dKx0FEREREtR+XmhO9JkJCQhAaGgoAqKyshLa2Nvr27YuAgAAAj4u+Q4cO4cSJE/Jl56GhofDw8MCiRYtw8OBB1K9fH0FBQdDQ0ECbNm3w8OFDlJaWIj4+HlZWVpg9ezYAoE2bNsjOzsb27dvRr18/AJCfFQaAwYMHY8WKFQgKCoKenh7GjBmDPXv24O7du/J4AwIC0KlTJwDAjBkzsHbtWvj7+1cZV0VFBYKCgvDOO+/A0tISPXv2RHp6OkaMGIFmzZph5cqV6N69OwBg1KhR2LRpEzIzM2FtbQ0DAwNoa2srLP8GHhfFX375JWbPno2+ffvKc9GvXz98++23GDlyJABg3LhxCn2/6MZngwcPhkQiAQCUl5ejYcOGGDt2LMaPHw/g8Vn2oKAgjBgxAsDjpeg9evRAZmYmNDU1Ub9+fQCQx7t9+3ZMnjwZffr0AQDMnDkTR48exbfffosxY8Y8NxYiIiIiqjtYeBO9JqZPn47+/fvj0aNHiIyMxM2bNzFnzhyYmJgAALKzsyGTydCrVy+F98lkMly9ehWXL1+GlZWVfFk68LjwBICNGzfC1tZW4X0ODg7Yu3ev/LWZmZn8ez09PTRu3Fh+rbauri4AKNzd+9/9WVlZ4e7du888k9u6dWv594aGhqisrAQAdOvWDWlpaVi3bh2ys7Nx4cIF5OXlKZxZf5r8/Hw8ePAAdnZ28m3a2tro2LEjsrOzn3ncioqK5/a7detWmJqa4tatW1i2bBnat2+PKVOmyJeav/3229DR0cGWLVuQmZmJzMxMZGVlYciQIU/tLzs7G2vWrMEnn3wi31ZWVoYrV648Nw4iIiIiqltYeBO9Jho1aiQvFD/99FMMHz4cH3/8Mfbt2wdtbW1IpVIYGRnhwIEDVd5ramoKLa1n/zk/KZz/TSaTQSqVyl//9/3/LuCf5t/7n9xUTFtb+6ltn1yr/t/2sbGxWLFiBby8vNC/f38sWLBAfp308zxtPAAglUoVivZnxfMszZs3h5mZGVq3bo3o6GgMGTIEq1evRlBQEAAgIyMDo0aNgqurKzp37gwfHx/ExMQ8sz+pVIqAgAD5WfcnDA0NqxUXEREREdVuvMab6DWko6ODsLAwXLhwAV988QUAwNzcHIWFhZBIJGjdujVat26N0tJShIeHo7y8HG+//TYuXryocGftmTNnYvv27TA3N0daWprCMU6dOgVzc/OXjvHSpUvy78+cOYOmTZtW+1Ffe/bswdSpUxEQEAAPDw+YmJggPz9fPoYny77/y8jICI0bN8bp06fl2yoqKnDu3LlXGtO/tWrVCv7+/vjyyy/lufvmm2/QpUsXrFu3DqNHj4atrS2uXr36zHjNzc2Rk5Mj/3m1bt0aUVFRCnETERERUd3HwpvoNWVra4vhw4dj8+bNuHPnDiwsLNCzZ0/MnTsXZ86cwblz57Bo0SIUFxfD2NgY7u7uePDgAcLDw3HlyhXExcXh8OHDcHZ2xujRo3HhwgV88sknuHz5MuLj47F79+5Xet50aGgo0tLS8PvvvyMiIgI+Pj7V7sPExATHjx/H5cuXcfbsWcyaNQsVFRXyJe36+vrIzc3FjRs3qrzXx8cHEREROHLkCLKzs7F48WKUlZXJn4WuCmPHjoWFhQWWLVsGmUyGBg0a4OLFizhz5gwuX76MVatWIT09XSFeADh79izKysowbtw4xMTEICEhAdeuXcOaNWuQmJgICwsLlcVIRERERK8/Ft5Er7FZs2ZBW1sba9asAQCEh4fDzMwMPj4+GDduHMzNzeXXDxsbGyM6Ohp///03Bg8ejG3btmHdunXo0KEDmjdvjujoaPz2229wd3fHli1bsHDhQgwbNuylYxs1ahT8/Pwwc+ZMDBkyBN7e3tXuIyAgAEVFRRgyZAj8/f1haWmJfv364cKFCwCAfv36QSaT4f3330d+fr7Ce319feHl5YXFixfD09MTOTk52LVrl0qf9a2lpYWgoCCcPXsWBw4cwJgxY2Bvbw8fHx+MHj0at27dwtSpU3H+/HkAjx8j5uzsjJEjR+LXX3+Fm5sbZs2ahYiICAwePBjHjx/Hli1b8Pbbb6ssRiIiIiJ6/UmEf69LJSIiIiIiIiKV4hlvIiIiIiIiIjVi4U1ERERERESkRiy8iYiIiIiIiNSIhTcRERERERGRGrHwJiIiIiIiIlIjFt5EREREREREasTCm4iIiIiIiEiNWHgTERERERERqRELbyIiIiIiIiI1YuFNREREREREpEYsvImIiIiIiIjUiIU3ERERERERkRr9P6b88nrrebqBAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "abm_mult = abm_data.groupby(['multiplier'])\n",
    "\n",
    "# Determine the number of subplots needed\n",
    "num_plots = len(abm_mult)\n",
    "rows = 3\n",
    "cols = 2\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(rows, cols, figsize=(10, 8))\n",
    "axes = axes.flatten()  # Flatten the axes array for easy indexing\n",
    "\n",
    "# Loop through each group and create the plot\n",
    "for idx, (multiplier, group) in enumerate(abm_mult):\n",
    "    ax = axes[idx]\n",
    "    \n",
    "    # Plot trend lines for each 'rec_cost'\n",
    "    for rec_cost, sub_group in group.groupby('rec_cost'):\n",
    "         sns.lineplot(\n",
    "            x='rec_rate', \n",
    "            y='rec_cheater_prop', \n",
    "            data=sub_group, \n",
    "            ax=ax, \n",
    "            label=f'rec_cost: {rec_cost}',\n",
    "            errorbar=\"ci\" \n",
    "        )\n",
    "         \n",
    "         \n",
    "    \n",
    "    ax.set_title(f'Multiplier: {multiplier}')\n",
    "    ax.set_xlabel('Recombination Rate')\n",
    "    ax.set_ylabel('Recombinant Cheater Proportion')\n",
    "    ax.legend(title='Recombination Cost', fontsize='small')\n",
    "    ax.grid(True)\n",
    "\n",
    "# Remove unused subplots if any\n",
    "for ax in axes[num_plots:]:\n",
    "    fig.delaxes(ax)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">rec_rate</th>\n",
       "      <th colspan=\"2\" halign=\"left\">rec_cost</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">coop_prop</th>\n",
       "      <th colspan=\"8\" halign=\"left\">rec_cheater_prop</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>...</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multiplier</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.0</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025318</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.06</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.006667</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.999733</td>\n",
       "      <td>0.001102</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.0</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025318</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.06</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.0</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025318</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.06</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.006667</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 80 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           rec_rate                                                 rec_cost  \\\n",
       "              count   mean       std   min   25%    50%   75%   max    count   \n",
       "multiplier                                                                     \n",
       "1              40.0  0.035  0.025318  0.01  0.01  0.035  0.06  0.06     40.0   \n",
       "2              40.0  0.035  0.025318  0.01  0.01  0.035  0.06  0.06     40.0   \n",
       "3              40.0  0.035  0.025318  0.01  0.01  0.035  0.06  0.06     40.0   \n",
       "\n",
       "                 ... coop_prop           rec_cheater_prop                      \\\n",
       "           mean  ...       75%       max            count      mean       std   \n",
       "multiplier       ...                                                            \n",
       "1           0.5  ...       0.0  0.006667             17.0  0.999733  0.001102   \n",
       "2           0.5  ...       0.0  0.000000             16.0  1.000000  0.000000   \n",
       "3           0.5  ...       0.0  0.006667             11.0  1.000000  0.000000   \n",
       "\n",
       "                                          \n",
       "                 min  25%  50%  75%  max  \n",
       "multiplier                                \n",
       "1           0.995455  1.0  1.0  1.0  1.0  \n",
       "2           1.000000  1.0  1.0  1.0  1.0  \n",
       "3           1.000000  1.0  1.0  1.0  1.0  \n",
       "\n",
       "[3 rows x 80 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abm_mult.describe()"
   ]
  }
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