{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experimental Nuclear Reaction Data (EXFOR)\n",
    "\n",
    "In this notebook we explore the EXFOR dataset and showcase some of the plotting and data manipulation capabalities of NucML. Let us start by importing some of the needed modules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T20:44:40.809503Z",
     "start_time": "2021-05-06T20:44:40.806007Z"
    }
   },
   "outputs": [],
   "source": [
    "# # Prototype\n",
    "# import sys\n",
    "# sys.path.append(\"../../\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T20:44:45.708822Z",
     "start_time": "2021-05-06T20:44:44.164316Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.max_rows', 50)\n",
    "pd.options.mode.chained_assignment = None  # default='warn'\n",
    "\n",
    "import nucml.datasets as nuc_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-06T20:44:46.224181Z",
     "start_time": "2021-05-06T20:44:46.219682Z"
    }
   },
   "outputs": [],
   "source": [
    "sns.set(font_scale=2)\n",
    "sns.set_style(\"white\")\n",
    "\n",
    "# Setting up the path where our figures will be stored\n",
    "figure_dir = \"./Figures/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE: WHEN WE TALK ABOUT CROSS SECTIONS WE ARE REFERING TO THE FEATURE NAMED \"DATA\", WHICH IS OUR LABEL**\n",
    "\n",
    "## Loading the EXFOR Database\n",
    "\n",
    "Let us study the dataset feature by feature. First we load our dataset. **Our focus is on low energy physics so we shall limit our dataset to these energies first (< 20 MeV)**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T22:55:21.256680Z",
     "start_time": "2021-02-23T22:53:56.632208Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root: MODE: neutrons\n",
      "INFO:root: LOW ENERGY: False\n",
      "INFO:root: LOG: False\n",
      "INFO:root: BASIC: -1\n",
      "INFO:root:Reading data from C:/Users/Pedro/Desktop/ML_Nuclear_Data/EXFOR/CSV_Files\\EXFOR_neutrons\\EXFOR_neutrons_MF3_AME_no_RawNaN.csv\n",
      "INFO:root:Data read into dataframe with shape: (4255409, 104)\n",
      "INFO:root:Finished. Resulting dataset has shape (4255409, 104)\n"
     ]
    }
   ],
   "source": [
    "df = nuc_data.load_exfor()\n",
    "df.MT = df.MT.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T22:55:21.261668Z",
     "start_time": "2021-02-23T22:55:21.257680Z"
    }
   },
   "outputs": [],
   "source": [
    "# df_original[df_original.Data == 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T22:55:29.283466Z",
     "start_time": "2021-02-23T22:55:21.263668Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df[df.Energy <= 2E7]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Understanding the Challenge\n",
    "\n",
    "Before we start analyzing the features of the EXFOR database, we must understand the challenge and the complexity of it. \n",
    "\n",
    "The goal here is to be able to predict cross-section values for a variety of reaction channels and isotopes. These cross-section values are probabilities although not in the usual 0-1 scale. Throughout the world, experimental measurements are performed to gather data that can then be used in traditional physics-based modeling to create a set of recommended values. Let us look at the Uranium-235(n,gamma) reaction.\n",
    "\n",
    "The `nucml.exfor.data_utilities` module contains the main functions to deal with EXFOR. Let us start by plotting the fission reaction for Uranium 235."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T22:56:12.125247Z",
     "start_time": "2021-02-23T22:56:09.029827Z"
    }
   },
   "outputs": [],
   "source": [
    "import nucml.exfor.data_utilities as exfor_utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T22:56:19.584157Z",
     "start_time": "2021-02-23T22:56:13.598512Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Extracting samples from dataframe.\n",
      "INFO:root:EXFOR extracted DataFrame has shape: (133028, 104)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = {\"nat_iso\":\"I\", \"one_hot\":False, \"alpha\":0.9, \"legend\":False, \"interpolate\":False, \"log_plot\":True, \"ref\":True}\n",
    "\n",
    "u_exfor_endf = exfor_utils.plot_exfor_w_references(\n",
    "    df, 92, 235, 18, get_endf=False, error=True, save=True, path=figure_dir, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, each color represents a different experimental campaign. Researchers use different methods for their measurements that also carry different data processing methodologies. There is not standardize measurement technique, therefore, introducing uncertainties. In the following sections, we try to analyze the features that may affect the cross section behavior. The EXFOR database contains experimental measurements not only for one isotope like uranium but for 96 more isotopes and 36 total reactions. That is a total of 3492 combinations of isotope, reaction types. \n",
    "\n",
    "## Energy Distribution\n",
    "\n",
    "We know that the reaction probability is a function of energy, isotope, and reaction type. All of these are important and fundamental. Since Energy is perhaps one of the most important features so we shall start by analyzing this feature. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T23:01:14.480459Z",
     "start_time": "2021-02-23T23:01:14.265293Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.197495e+06\n",
       "mean     1.074256e+06\n",
       "std      2.620195e+06\n",
       "min      0.000000e+00\n",
       "25%      4.326000e+02\n",
       "50%      2.484900e+04\n",
       "75%      7.706700e+05\n",
       "max      2.000000e+07\n",
       "Name: Energy, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Energy.describe() # vanilla statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T23:01:18.328535Z",
     "start_time": "2021-02-23T23:01:15.450096Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df[df.Energy != 0] # Energy cannot be 0 physically so we drop these"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T23:01:20.341063Z",
     "start_time": "2021-02-23T23:01:20.192065Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.851943394525566"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import skew\n",
    "skew(df.Energy.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-23T23:01:23.936062Z",
     "start_time": "2021-02-23T23:01:23.080164Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Energy Distribution')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(df[[\"Energy\"]], x=\"Energy\", height=6, aspect=3, bins=50)\n",
    "plt.title(\"Energy Distribution\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are various observations by just looking at some typical statistics:\n",
    "\n",
    "1. Energy cannot be 0 so we have some incorrect datapoints. We dropped these.\n",
    "2. The standard deviation is high but expected. This dataset includes reaction data for all isotopes and all reaction channels.\n",
    "3. The energy is highly skewed (this will affects model performance).\n",
    "\n",
    "There are many ways to un-skew the feature including log, square root, and power transformers. We know that our data is positive and cannot be zero so any of these works. Let us observe the impact of the log and Box Cox transformer on the skewness. The square root is not very powerful and will not be tested here (it has been tested before and the skewness change is minimal).\n",
    "\n",
    "### Log10 Transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T19:35:32.276387Z",
     "start_time": "2021-02-04T19:35:32.065386Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.62603645])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(np.log10(df[[\"Energy\"]]).values) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:46:18.095133Z",
     "start_time": "2021-02-05T03:46:17.247721Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Energy Distribution after Log10')"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(np.log10(df[[\"Energy\"]]), x=\"Energy\", height=6, aspect=3, bins=50)\n",
    "plt.title(\"Energy Distribution after Log10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Box Cox Transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T19:37:30.084821Z",
     "start_time": "2021-02-04T19:37:30.081819Z"
    }
   },
   "outputs": [],
   "source": [
    "from scipy import stats\n",
    "\n",
    "energy_box, _= stats.boxcox(df.Energy.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T19:39:29.118321Z",
     "start_time": "2021-02-04T19:39:28.966309Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.09672338436387388"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(energy_box)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:46:29.547430Z",
     "start_time": "2021-02-05T03:46:27.360263Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Energy Distribution after Box Cox')"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(energy_box, height=6, aspect=3, bins=50)\n",
    "plt.title(\"Energy Distribution after Box Cox\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T18:56:36.406925Z",
     "start_time": "2021-02-07T18:56:34.365462Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,8))\n",
    "ax1.hist(df.Energy, bins=50)\n",
    "ax2.hist(df[[\"Energy\"]], bins = 10 ** np.linspace(np.log10(df.Energy.min()), np.log10(df.Energy.max()), 50))\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_xlabel('Energy (eV)')\n",
    "# ax2.set_ylabel('Frequency')\n",
    "# ax1.get_yaxis().set_label_coords(-0.08,0.5)\n",
    "ax1.set_ylabel('Frequency')\n",
    "ax1.set_xlabel('Energy (eV)')\n",
    "# ax2.get_yaxis().set_label_coords(-0.08,0.5)\n",
    "plt.savefig(os.path.join(figure_dir, \"energy_distribution_h.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Either the log or Box Cox transformation followed by a standardizer or normalizer will benefit model performance by unskewing the data and minimizing the standard deviation. We shall keep this in mind when using any algorithm. \n",
    "\n",
    "## Cross Section (Data) Distribution - Label\n",
    "\n",
    "The cross-section is our label making this a regression challenge. Similar to the Energy, we expect this feature to have high standard deviations and be highly skewed. However, we must be careful not to change the nature of the data. These values represent physical reaction probabilities (although not in the usual 0-1 scale). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:40:53.465559Z",
     "start_time": "2021-02-05T03:40:53.243570Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.185090e+06\n",
       "mean     6.480420e+03\n",
       "std      6.187566e+05\n",
       "min      8.250000e-18\n",
       "25%      2.695000e+00\n",
       "50%      5.820400e+00\n",
       "75%      1.404500e+01\n",
       "max      2.311600e+08\n",
       "Name: Data, dtype: float64"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T19:52:47.928710Z",
     "start_time": "2021-02-04T19:52:44.884661Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df[df.Data != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T19:52:52.323956Z",
     "start_time": "2021-02-04T19:52:52.180364Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "138.58342560709644"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(df.Data.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:45:40.317580Z",
     "start_time": "2021-02-05T03:45:39.413497Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Data (Cross Section) Distribution')"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(df[[\"Data\"]], x=\"Data\", height=6, aspect=3, bins=50)\n",
    "plt.title(\"Data (Cross Section) Distribution\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are various observations by just looking at some typical statistics:\n",
    "\n",
    "1. Data cannot be 0 so we have some incorrect datapoints. We dropped these.\n",
    "2. The standard deviation for the cross section is also high but expected. \n",
    "3. The cross section feature is highly skewed (this will affects model performance). \n",
    "\n",
    "We refrain from applying any other transformation other than the log transformation to not change the nature of the data. To optimize model raining (although model dependent), the features must have similar ranges. This helps algorithms like KNN not give more importance to high variance features and helps deep learning models train faster. However, we shall not normalize our labels (cross-section data) since these are absolute probabilities."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are many ways to unskew the feature including log, square root, and power transformers. We know that our data is positive and cannot be zero so any of these work. Let us observe the impact of each transformer on the skewness."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Log10 Transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:46:47.001909Z",
     "start_time": "2021-02-05T03:46:46.791476Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1.01712755])"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(np.log10(df[[\"Data\"]]).values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:46:59.116738Z",
     "start_time": "2021-02-05T03:46:58.176261Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Data (Cross Section) Distribution after Log10')"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(np.log10(df[[\"Data\"]]), x=\"Data\", height=6, aspect=3, bins=50)\n",
    "plt.title(\"Data (Cross Section) Distribution after Log10\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T18:56:45.126411Z",
     "start_time": "2021-02-07T18:56:42.141405Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABK0AAAIXCAYAAABeuK37AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAACLlElEQVR4nOzdeVxV1f7/8TczIk44ICimhJBz2uBQONwcytLUvJmaU5I5e81yKG96NTVvWYpaKmQWahGlmWllZs4KpZRjKDjLBSnREhQ4cH5/+ON8I0YP58ABXs/Hw0f37rX2Op+9T9s2b9Ze285oNBoFAAAAAAAA2BD70i4AAAAAAAAA+DtCKwAAAAAAANgcQisAAAAAAADYHEIrAAAAAAAA2BxCKwAAAAAAANgcQisAAAAAAADYHEIrC9iwYYMCAgL0008/WWS8jIwMffDBB3ryySfVqlUrtWnTRsOGDdO+ffssMj4AAEBZx/0XAADln2NpF1DWRUdHa+7cuRYbLz09XaNGjdKBAwdUvXp1PfTQQ/rtt9908OBBRUZGatmyZeratavFPg8AAKCs4f4LAICKgZlWxbBt2zaNHDlSqampFhtzxYoVOnDggB588EF9//33evfdd/Xpp59q8eLFkqRXX31VBoPBYp8HAABQlnD/BQBAxUFoZYaEhARNnTpVEyZMUFZWlmrVqmWRcW/duqU1a9aoatWqWrJkidzd3U1tjz32mB555BG5u7srNjbWIp8HAABQVnD/BQBAxUNoZYbFixdr06ZNat68ucLDw+Xr61tg/19++UXjxo1Tu3bt1KJFC/Xo0UPvvPOObty4kaPf3r17lZKSoieffFIeHh65xlm+fLm+//573XPPPRY9HgAAAFvH/RcAABUPa1qZwdfXVwsXLlTv3r1lb19w7rdhwwbNnDlTRqNRzZs3l5eXl44cOaIVK1Zox44dCgsLU/Xq1SVJx48flyS1aNFC6enp2rZtmw4fPqzMzEy1adNGPXv2lJOTk7UPDwAAwOZw/wUAQMVDaGWGUaNGFalfXFycXnvtNbm5uWnlypW67777JN1+O83cuXMVHh6uuXPnatGiRZKkCxcuSJKMRqOeeuopnTp1yjTWJ598otWrVyskJER16tSx8BEBAADYNu6/AACoeHg80Io+/PBDZWRkaOLEiaYbJklycnLSzJkz5enpqa1btyoxMVGS9Oeff0qS5s2bp1u3bun999/XoUOH9MUXX+jBBx/Ur7/+qokTJ8poNJbK8QAAANg67r8AACg/CK2sKDIyUpLUtm3bXG3Ozs568MEHlZWVpZ9++kmSlJaWZvrn6tWr9fDDD8vd3V1NmjRRSEiIvL29FR0drf3795fcQQAAAJQh3H8BAFB+8HigFSUkJEiSevfuXWC///3vf5KkSpUqSZICAwPl4+OTo4+rq6t69+6tFStWKCoqSg899JAVKgYAACjbuP8CAKD8ILSyoszMTEnSE088ITs7u3z73XXXXZJkemNNvXr18uyXvT05OdmSZQIAAJQb3H8BAFB+EFpZUZ06dXT58mW9/PLLqlu3bqH9/f39JUlXrlzJsz0pKUmSVKNGDcsVCQAAUI5w/wUAQPnBmlZWdP/990uSdu3alWf7yJEjNWDAAB05ckSS1LFjR0nSvn37TIuC/tXevXtzjAsAAICcuP8CAKD8ILSyoiFDhsje3l5vv/22abFP6fYrlZctW6a9e/fq0qVLuueeeyRJvr6+6ty5s/744w9Nnz5dt27dMu0TGhqqw4cP6+6771aHDh1K/FgAAADKAu6/AAAoP+yMvL+32IYMGaKoqCitW7cu12/h1qxZozfeeEOS1LRpU9WrV0+nTp3SuXPn5Orqqvfffz/HPleuXNHQoUN19uxZ1apVS/fee6/Onz+v06dPq2rVqvrggw/UvHnzEj0+AAAAW8P9FwAA5R8zraxs+PDh+uijj9SlSxfFx8dr586dysrKUt++ffXFF1/kusmqU6eOPvvsM40ePVru7u7avXu3rl27pieffFKfffYZN0wAAACF4P4LAIDygZlWAAAAAAAAsDnMtAIAAAAAAIDNcSztAsqCW7du6dixY6pdu7YcHBxKuxwAAGAFmZmZSkpKUvPmzeXq6lra5UDcgwEAUN4Vdv9FaFUEx44d0+DBg0u7DAAAUALyWtgbpYN7MAAAKob87r8IrYqgdu3akm6fxLp165ZyNQAAwBoSEhI0ePBg03/3Ufq4BwMAoHwr7P6L0KoIsqej161bV/Xr1y/lagAAgDXxGJrt4B4MAICKIb/7LxZiBwAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0sgHpGZkW7QcAAAAAsK6i/HzGz3BA8TiWdgGQnJ0c1GvKpkL7bV70ZAlUAwAAAAAoTFF+juNnOKB4mGkFAAAAAAAAm0NoBQAAAAAAAJtDaAUAAAAAAACbQ2gFAAAAAAAAm0NoBQAAAAAAAJtDaAUAAAAAAACbQ2gFAAAAAAAAm0NoBQAAAAAAAJtDaAUAAAAAAACbY/Oh1bVr1/Twww8rICDgjvZLTEzUa6+9pkceeUQtW7ZUjx49tHz5cqWnp1upUgAAAAAAAFiKzYdW//nPf5SUlHRH+yQkJOjpp59WeHi4qlatqs6dOyslJUXBwcEaOXKkMjIyrFQtAAAAAAAALMGmQ6uvvvpKW7duveP9Zs+erYSEBE2aNEkbN25UcHCwtm3bpg4dOigqKkphYWFWqBYAAAAAAACWYrOhVWJioubOnavWrVvLwcGhyPudOXNGO3fuVIMGDTR69GjTdjc3N82bN08ODg5au3atNUoGAAAAAACAhdhsaPXqq68qLS1NCxcuvKP99u7dK6PRqC5dusjePufheXt7q2nTprp8+bJiY2MtWS4AAAAAAAAsyCZDq/Xr12vPnj166aWXdNddd93RvtlhVOPGjfNs9/X1lSSdOnWqeEUCAAAAAADAamwutLpw4YLefPNNtWvXToMHD77j/a9cuSJJqlOnTp7ttWvXliT99ttv5hcJAABQzm3YsEEBAQH66aef7mg/3uAMAAAsxaZCq8zMTE2dOlV2dnZasGCB7Ozs7niMmzdvSpJcXV3zbM/enpqaan6hAAAA5Vh0dLTmzp17x/vxBmcAAGBJNhVahYaGKjo6WjNmzJC3t7dZY2SvY5Vf4GU0GnP8EwAAAP9n27ZtGjlypFm/4OMNzgAAwJJsJrT69ddftXTpUnXq1En//Oc/zR7Hzc1NknTr1q0829PS0iRJlSpVMvszAAAAypuEhARNnTpVEyZMUFZWlmrVqnVH+/MGZwAAYGmOpV1AtnfeeUcZGRkyGAx66aWXcrRlZWVJkmn7K6+8Ig8PjzzHyV7LKr81q5KSknL0AwAAgLR48WJt2rRJzZs31/z58/X666/f0RqgRXmD89GjRxUbGys/Pz9Llw8AAMohmwmtsqeg79u3L98+mzdvliT961//yje0yn5rYPZbBP8uLi5OkuTv7292rQAAAOWNr6+vFi5cqN69e+cKnYqiKG9wPnr0qE6dOkVoBQAAisRmQquC1jho2rSpMjMzFRMTU+g4gYGBkqQdO3bopZdeynHTFR8fr5MnT6pevXrcLAEAAPzFqFGjirU/b3AGAACWZjNrWpkjPj5ecXFxunr1qmmbj4+PAgMDdfbsWS1ZssS0PTU1VTNnzlRmZqZGjBhRGuUCAACUW7zBGQAAWFqZDq2mTZumnj17at26dTm2z5o1S7Vr19aKFSvUq1cvTZw4Ud27d9e+ffvUsWNHDRw4sJQqBgAAKJ94gzMAALC0Mh1a5cfHx0cRERHq16+frl69qp07d6patWqaMmWKli1bJkdHm3kqEgAAoFzgDc4AAMDSykR6c+LEiTy3F7QOlpeXlxYsWGCtkgAAAPAXvMEZAABYWrmcaQUAAICSxRucAQCApRFaAQAAoNj++gbnrKysHG28wRkAAJiD0AoAAAB3hDc4AwCAkkBoBQAAgDvCG5wBAEBJILQCAACARfAGZwAAYEncOQAAACCXgt7SzBucAQBASWCmFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbI5jaReQl8zMTK1bt06fffaZzp49q0qVKql58+YaOnSoOnfuXKQxDAaDWrdurfT09DzbPT09tXv3bgtWDQAAAAAAAEuxydBqxowZ2rRpk9zd3dW+fXtlZGQoKipK+/bt08SJEzVu3LhCx4iNjVV6eroaNGigVq1a5WqvXr26FSoHAAAAAACAJdhcaLV161Zt2rRJjRo10tq1a1WrVi1J0unTpzVw4EAtW7ZMjz/+uBo2bFjgOCdPnpQk9evXT2PGjLF22QAAAAAAALAgm1vT6ssvv5QkvfTSS6bASpIaN26sXr16KSsrS/v27St0nBMnTkiSmjVrZp1CAQAAAAAAYDU2N9MqODhY586dy3MmVUpKiiTJwcGh0HGyZ1oRWgEAAAAAAJQ9NhdaOTs7y9/fP9f2H374Qd98843c3NzUtWvXAscwGo06efKkateurR07dig8PFxxcXFycXFRhw4dNH78ePn6+lrrEAAAAAAAAFBMNvd44F/dunVLEydOVM+ePTV69GjVrFlTq1atyvHYYF4uXryoGzduKCkpSa+99ppcXFzUtm1bubi4aMuWLerfv78OHTpUQkcBAAAAAACAO2VzM63+Kj4+Xt9++22ObTExMXrggQcK3C97PStPT0+tXLlSTZo0kSQZDAYtWrRIq1ev1uTJk/Xdd9/JxcXFOsUDAAAAAADAbDY906pu3bo6ePCgoqKitHjxYmVkZGju3LlatWpVgfv16NFDO3fuVEREhCmwkiRHR0e9/PLLatasmRITE7V9+3ZrHwIAAAAAAADMYNOhlZubm2rUqKFq1arpscce07Jly2RnZ6eVK1cqLS0t3/3s7Ozk5eUlT0/PXG329vbq1KmTJOnYsWNWqx0AAAAAAADms+nQ6u/uvfdeNWjQQDdu3NDFixfNHid7Taxbt25ZqjQAAAAAAABYkE2FVkajUf/97381efJkGQyGPPs4OztLUr7tkrRu3Tr961//0v79+/Nsv3TpkqTbjx8CAAAAAADA9thUaGVnZ6fvv/9eW7du1b59+3K1X7x4UWfPnpWbm5saNWqU7zgXL17U119/rY0bN+ZqS0tLMy3u/tBDD1mueAAAAAAAAFiMTYVWkvT0009Lkl5//XUlJCSYticmJurFF1+UwWDQoEGDTG/9i4+PV1xcnK5evWrq279/fzk4OGjz5s053j6YvZD75cuX1bFjRzVv3ryEjgoAAAAAAAB3wrG0C/i7oUOHKjIyUrt27dJjjz2mNm3aKDMzU7/88otSU1PVqVMnTZo0ydR/2rRpioqK0vjx4zVhwgRJkp+fn6ZPn6758+dr4sSJatGihby9vfXLL78oISFBvr6+euONN0rrEAEAAAAAAFAImwutnJyc9N5772n9+vXasGGDfvzxR9nb28vf31/9+vXT008/LXv7wieIDR06VI0bN1ZoaKiOHDmimJgYeXt7a/To0Ro1apQqV65cAkcDAAAAAAAAc9hcaCVJDg4OGjJkiIYMGVJo37CwsHzb2rdvr/bt21uyNAAAAAAAAJQAm1vTCgAAAAAAACC0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAADACtIzMi3aD6hoHEu7AAAAAAAAyiNnJwf1mrKp0H6bFz1ZAtUAZQ8zrQAAAAAAAGBzmGkFAAAAk/3792vFihWKiYlRRkaGmjVrplGjRikwMLDIY8TFxWnZsmU6ePCg/vjjD9WsWVMdO3bUuHHj5OXlZcXqAQBAecJMKwAAAEiSNmzYoBEjRig6OlotW7ZU69atFR0draCgIIWHhxdpjCNHjqh///7aunWratWqpS5dusjFxUURERHq27evzp49a+WjAAAA5QWhFQAAAHTlyhXNmjVLVapU0eeff66QkBC9//77Wr9+vdzd3TVv3jwlJiYWOs7s2bOVmpqqGTNmaPPmzVq2bJm++eYbPfPMM0pOTtbChQtL4GgAAEB5QGgFAAAArV27Vunp6Ro+fLj8/f1N21u2bKmgoCClpaUVOtvq2rVrOn78uKpXr67hw4ebtjs4OGjSpEmSpB9//NEq9QMAgPKH0AoAAADas2ePJKlr16652rp16yZJ2r17d4FjODg4SJJSUlL0559/5mhLTk6WJFWrVq3YtQIAgIqB0AoAAKCCMxqNio2Nlb29vXx9fXO1N2zYUPb29oqNjZXRaMx3nCpVqujee+9VRkaGJkyYoFOnTunWrVs6cuSIpkyZIkkaOXKk1Y4DAACUL7w9EAAAoIK7fv260tPT5eHhIWdn51ztjo6OqlGjhn7//XelpKTI3d0937HefPNNvfDCCzpw4IB69epl2l65cmUtWrRITzzxhFWOAQAAlD/MtAIAAKjgbt68KUmqVKlSvn1cXV0l3X70ryB16tRR37595eTkpICAAP3jH/9Q/fr1lZKSotWrV+vSpUuWKxwAAJRrzLQCAACo4OztC/89ZkGPBWZLT0/XiBEj9Msvv+itt95Sz549JUlZWVlatmyZli9frueee05fffVVnjO6AAAA/oqZVgAAABWcm5ubJCktLS3fPtltBc3G+vzzz3X48GENGDDAFFhJt0OxiRMnql27djp//ry2bt1qocoBAEB5RmgFAABQwbm7u8vNzU3JyckyGAy52g0Gg5KTk+Xi4qKqVavmO05UVJQk6aGHHsqzvWPHjpKkkydPWqBqAABQ3hFaAQAAVHB2dnby8/NTZmamzp07l6v97NmzysrKkr+/f4Hj/PHHH5IkBweHPNuzt2dkZBSvYAAAUCEQWgEAAECBgYGSpO3bt+dqy97WqVOnAsfw9fWVJO3atSvP9v3790uS7rnnHrPrBAAAFQehFQAAANSvXz+5uLgoJCREx44dM20/evSoQkND5erqqkGDBpm2x8fHKy4uTlevXjVt69+/v+zt7RUREaHvvvsux/hr1qzRrl275OHhkWO9KwAAgPzw9kAAAACofv36mjZtmubMmaNnnnlG7dq1k9FoVGRkpAwGgxYuXKiaNWua+k+bNk1RUVEaP368JkyYIEkKCAjQzJkz9frrr2v8+PFq0qSJ6tevr9OnT+vcuXNyc3PTkiVL5O7uXlqHCQAAyhBCKwAAAEiSBg8eLG9vb4WGhurQoUNydnZWmzZtNGbMGLVv377IY9xzzz16//33dfjwYZ0+fVoeHh7q27evRo8erYYNG1r3IAAAQLlhk6FVZmam1q1bp88++0xnz55VpUqV1Lx5cw0dOlSdO3cu8jiJiYlavny59u3bp6SkJHl5eal37956/vnn5ezsbL0DAAAAKKO6dOmiLl26FNovLCws37b77rtP9913nyXLAoASlZ6RKWenvF8qAaDk2GRoNWPGDG3atEnu7u5q3769MjIyFBUVpX379mnixIkaN25coWMkJCRowIABSkhIUNOmTdWsWTMdPnxYwcHBOnjwoFavXi0nJ6cSOBoAAAAAQFni7OSgXlM2Fdhn86InS6gaoOKyudBq69at2rRpkxo1aqS1a9eqVq1akqTTp09r4MCBWrZsmR5//PFCp5bPnj1bCQkJmjRpksaOHStJSk1N1bhx47R//36FhYXpueees/bhAAAAAAAAwAw29/bAL7/8UpL00ksvmQIrSWrcuLF69eqlrKws7du3r8Axzpw5o507d6pBgwYaPXq0abubm5vmzZsnBwcHrV271joHAAAAAAAAgGKzuZlWwcHBOnfuXJ4zqVJSUiRJDg4FP1u8d+9eGY1GdenSRfb2OXM5b29vNW3aVEePHlVsbKz8/PwsVjsAAAAAAAAsw+ZmWjk7O8vf3z/XQuk//PCDvvnmG7m5ualr164FjhEbGyvp9uysvPj6+kqSTp06ZYGKAQAAAAAAYGk2N9Pqr27duqWpU6cqNjZWcXFx8vb21n//+98cjw3m5cqVK5KkOnXq5Nleu3ZtSdJvv/1m2YIBAAAAAABgETY30+qv4uPj9e233youLs60LSYmptD9bt68KUlydXXNsz17e2pqqgWqBAAAAAAAgKXZdGhVt25dHTx4UFFRUVq8eLEyMjI0d+5crVq1qsD9stexsrOzy7PdaDTm+CcAAAAAAABsi02HVm5ubqpRo4aqVaumxx57TMuWLZOdnZ1WrlyptLS0AveTbj9emJfsfStVqmT5ogEAAAAAAFBsNh1a/d29996rBg0a6MaNG7p48WK+/bLXsspvzaqkpKQc/QAAAAAAAGBbbCq0MhqN+u9//6vJkyfLYDDk2Sf7rYL5tUv/99bA7LcI/l32Gln+/v7FKRcAAAAAAABWYlOhlZ2dnb7//ntt3bpV+/bty9V+8eJFnT17Vm5ubmrUqFG+4wQGBkqSduzYoaysrBxt8fHxOnnypOrVqyc/Pz/LHgAAAAAAAAAswqZCK0l6+umnJUmvv/66EhISTNsTExP14osvymAwaNCgQXJxcZF0O4SKi4vT1atXTX19fHwUGBios2fPasmSJabtqampmjlzpjIzMzVixIgSOiIAAAAAAADcKcfSLuDvhg4dqsjISO3atUuPPfaY2rRpo8zMTP3yyy9KTU1Vp06dNGnSJFP/adOmKSoqSuPHj9eECRNM22fNmqWBAwdqxYoV2rFjhxo1aqTDhw8rKSlJHTt21MCBA0vj8AAAAAAAAFAENhdaOTk56b333tP69eu1YcMG/fjjj7K3t5e/v7/69eunp59+Wvb2hU8Q8/HxUUREhIKDg7V7926dP39ePj4+Gjp0qIYNGyZHR5s7dAAAAAAAAPx/NpncODg4aMiQIRoyZEihfcPCwvJt8/Ly0oIFCyxZGgAAAAAAAEqAza1pBQAAAAAAABBaAQAAAAAAwOYQWgEAAAAAAMDmEFoBAAAAAADA5hBaAQAAAAAAwOYQWgEAAAAAAMDmEFoBAAAAAADA5hBaAQAAAAAAwOYQWgEAAAAAAMDmEFoBAAAAAADA5hBaAQAAAAAAwOYQWgEAAAAAAMDmEFoBAAAAAADA5hBaAQAAAAAAwOYQWgEAAAAAAMDmmBVaJSQkWLoOAAAAAAAAwMSs0Oof//iHhg8fro0bNyolJcXSNQEAAAAAAKCCMyu0cnFx0cGDB/XKK6/ooYce0pQpU7R7925lZWVZuj4AAAAAAABUQI7m7HTgwAF999132rx5s/bv368tW7Zo69at8vDw0BNPPKHevXurWbNmlq4VAAAAAAAAFYRZoZWrq6t69eqlXr166erVq9q6dau+/PJLHTlyRB9++KE++ugj+fr66sknn1SvXr3k5eVl6boBAAAAAABQjhX77YEeHh569tln9emnn2rbtm2aMGGCmjVrpjNnzuidd97RI488omHDhmnjxo1KTU21RM0AAAAAAAAo54odWv1VgwYNNG7cOK1atUqTJ0+Wq6ursrKyFBkZqVdeeUWBgYGaP3++rl27ZsmPBQAAAAAAQDlj1uOBebl69aq+/vprbd26VT///LOysrJkNBrl7e2tXr16KTExUdu2bVNYWJi2bt2qNWvWyM/Pz1IfDwAAAAAAgHKkWKHVjRs3tH37dm3evFmRkZHKzMyU0WhU5cqV1b17d/Xp00dt27Y19Z85c6YmT56sPXv26D//+Y/CwsKKfQAAAAAAAAAof8wKrbZt26avvvpKu3btUnp6uoxGoxwcHNShQwf16dNH3bp1k6ura6793N3dNX36dO3Zs0dHjx4tdvEAAAAAAAAon8wKrSZOnGj6340bN1afPn3Uu3dv1a5du8hj1KpVy5yPBgAAAAAAQAVgVmhVs2ZNPfHEE+rTp4+aNGlyR/t6enpqy5Yt8vb2NuejAQAAAAAAUAGYFVrt3r1bDg4O+bZfvXpVNWrUkJ2dXa42d3d3ubu7m/OxAAAAAAAAqCDszdnJwcFBmZmZWrFihR5//HGlp6fnaJ89e7Y6dOig9957TwaDwSKFAgAAAAAAoOIwa6ZVenq6Ro8erQMHDkiSzp49q4CAAFP7lStXlJycrODgYP38889asWJFnrOuAAAAAAAAgLyYNdNqzZo12r9/v2rVqqXFixfr7rvvztG+bt06hYSEyMvLS7t379Ynn3xikWIBAAAAAABQMZgVWm3evFmOjo5avXq1evToIUfHnBO2HBwcFBgYqHfffVd2dnb6/PPPLVIsAAAAAAAAKgazHg+8cOGCGjVqpMaNGxfY75577tFdd92l2NjYOxo/MzNTH3/8sTZu3KgzZ84oMzNTPj4+6tmzp4KCguTi4lLoGAaDQa1bt8613lY2T09P7d69+47qAgAAAAAAQMkwK7RydXVVVlZWkfo6OTnd0XpWmZmZGjt2rHbu3Ck3Nze1atVKjo6O+uWXXxQcHKxdu3bpww8/VKVKlQocJzY2Vunp6WrQoIFatWqVq7169epFrgkAAAAAAAAly6zQqmHDhjpy5Iji4uJyrWf1VxcuXFBsbKyaNGlS5LEjIiK0c+dOBQQEKCQkRJ6enpKkq1evauzYsYqOjta7776rKVOmFDjOyZMnJUn9+vXTmDFjivz5AAAAAAAAKH1mrWnVu3dvGY1GTZgwQXFxcXn2uXDhgsaPHy+j0ahevXoVeeyNGzdKkl555RVTYCVJHh4emj17tiRpy5YthY5z4sQJSVKzZs2K/NkAAAAAAACwDWbNtBowYIC++uorRUdHq1evXmrZsqX8/f3l5uam1NRUxcXF6eeff1ZmZqZatGihQYMGFXnsGjVqyNfXVy1btszV1rBhQ0nSlStXCh0ne6YVoRUAAAAAAEDZY1Zo5ejoqJUrV2r+/PnatGmTfv75Z/3888+ys7OT0WiUJNnZ2emxxx7Tf/7zHzk7Oxd57BUrVuTbdvToUUlS3bp1CxzDaDTq5MmTql27tnbs2KHw8HDFxcXJxcVFHTp00Pjx4+Xr61vkmgAAAAAAAFCyzAqtJKlq1ap64403NHnyZO3evVsXLlzQtWvX5OrqqoYNG+rhhx/WXXfdZbFCjUajgoODJUndu3cvsO/Fixd148YN3bhxQ6+99pratGmjtm3b6uTJk9qyZYt27typkJAQ3XfffRarDwAAAAAAAJZjdmiVzdPTU//85z8tUUuB3n77bUVFRalWrVoKCgoqsG/2elaenp5auXKlaSF4g8GgRYsWafXq1Zo8ebK+++47ubi4WL12AAAAAAAA3BmzFmIvaUuWLNGqVavk7OysxYsXy8PDo8D+PXr00M6dOxUREZHjzYWOjo56+eWX1axZMyUmJmr79u3WLh0AAAAAAABmMHum1aVLl/TBBx8oOjpaKSkpyszMNK1n9Xd2dnZmBUQGg0Fz5sxReHi4XFxctHTpUj3wwAOF7mdnZycvL6882+zt7dWpUycdP35cx44d0+OPP37HdQEAAAAAAMC6zAqtzp07pwEDBuiPP/7IN6j6Kzs7uzv+jJSUFE2aNEl79uxR1apV9e677xYpsCqKWrVqSZJu3bplkfEAAAAAAABgWWaFVsuXL9f169dVq1YtDR48WI0aNZKrq6vFirp+/bpGjBih48ePy8vLS6tWrZK/v3+R91+3bp1+/PFHPf300+rQoUOu9kuXLkkq/C2EAAAAAAAAKB1mhVYHDhyQo6OjwsLC1KhRI4sWlJ6erlGjRun48ePy8/PT+++/f8fh0sWLF/X111/LyckpV2iVlpamb7/9VpL00EMPWaxuAAAAAAAAWI5ZC7H/8ccf8vf3t3hgJUnBwcH6+eef5eXlpbCwsEIDq/j4eMXFxenq1aumbf3795eDg4M2b95sCqgkKSMjQ3PnztXly5fVsWNHNW/e3OL1AwAAlGX79+/X0KFD1bZtW7Vp00ZDhgzRnj177miMjIwMffDBB3ryySfVqlUrtWnTRsOGDdO+ffusVDUAACiPzJppVbduXSUnJ1u6Fl27dk1hYWGSJA8PD82fPz/fvm+99ZYkadq0aYqKitL48eM1YcIESZKfn5+mT5+u+fPna+LEiWrRooW8vb31yy+/KCEhQb6+vnrjjTcsXj8AAEBZtmHDBs2YMUPOzs5q166dsrKyFBkZqaCgIM2ZM0cDBgwodIzsWfMHDhxQ9erV9dBDD+m3337TwYMHFRkZqWXLlqlr164lcDQAAKCsMyu0evTRRxUSEqLIyEi1bdvWYsUcOXLEtDj68ePHdfz48Xz7ZodW+Rk6dKgaN26s0NBQHTlyRDExMfL29tbo0aM1atQoVa5c2WJ1AwAAlHVXrlzRrFmzVKVKFa1fv960nuiRI0c0YsQIzZs3T507d5anp2eB46xYsUIHDhzQgw8+qPfee0/u7u6SpK+//lqTJ0/Wq6++qs6dO8vR0eyXWAMAgArCrLuFMWPGaM+ePXrppZf06quvKjAw0CIhUMeOHRUTE3NH+2TPzMpL+/bt1b59++KWBQAAUO6tXbtW6enpeuGFF3K8AKdly5YKCgrS4sWLFR4erokTJ+Y7xq1bt7RmzRpVrVpVS5YsMQVWkvTYY4/pq6++0q+//qrY2Fjdc889Vj0eAABQ9pkVWk2ePFnu7u46efKkJk+eLDs7O7m5ucnJySnP/nZ2dtq/f3+xCgUAAID1ZK9bldeje926ddPixYu1e/fuAkOrvXv3KiUlRUOGDJGHh0eu9uXLl1uuYAAAUO6ZFVrt3LnT9L+NRqOMRqNu3LiRb387OztzPgYAAAAlwGg0KjY2Vvb29vL19c3V3rBhQ9nb2ys2NlZGozHfe7vspR1atGih9PR0bdu2TYcPH1ZmZqbatGmjnj175vtLTgAAgL8zK7T66KOPLF0HAAAASsn169eVnp4uDw8POTs752p3dHRUjRo19PvvvyslJSXHY39/deHCBUm3Q7CnnnpKp06dMrV98sknWr16tUJCQlSnTh3rHAgAAChXzAqtHnzwQUvXAQAAgFJy8+ZNSVKlSpXy7ePq6ipJBYZWf/75pyRp3rx5ql69ut5//33de++9unjxoubPn6+oqChNnDhRH3/8MTPxAQBAoewtOVhKSoolhwMAAEAJsLcv/JbQaDQW2ictLc30z9WrV+vhhx+Wu7u7mjRpopCQEHl7eys6Opq1TgEAQJEUK7RKSEjQG2+8oZ49e6pZs2Z64IEHJEmJiYl69tlntWPHDosUCQAAAOtxc3OT9H+hU16y2wqajZXdFhgYKB8fnxxtrq6u6t27tyQpKiqqWPUCAICKwazHA6Xbb5h58cUXdePGDdNv3rKneV+6dEk//fSTDh06pHHjxmn8+PGWqRYAAAAW5+7uLjc3NyUnJ8tgMMjRMectosFgUHJyslxcXFS1atV8x8l+Y2C9evXybM/enpycbKHKAQBAeWbWTKsLFy5o4sSJ+vPPP/Xoo49q2bJlatq0qam9YcOG6tu3r4xGo5YvX57jbYMAAACwLXZ2dvLz81NmZqbOnTuXq/3s2bPKysqSv79/geNkt1+5ciXP9qSkJElSjRo1ilcwAACoEMwKrVauXKmbN2/qX//6l9555x117drVtDinJNWsWVMLFizQSy+9JKPRqPXr11usYAAAAFheYGCgJGn79u252rK3derUqcAxOnbsKEnat2+faVH2v9q7d68k6f777y9WrQAAoGIwK7Tat2+fqlWrpueff77AfiNGjFD16tV15MgRs4oDAABAyejXr59cXFwUEhKiY8eOmbYfPXpUoaGhcnV11aBBg0zb4+PjFRcXp6tXr5q2+fr6qnPnzvrjjz80ffp03bp1y9QWGhqqw4cP6+6771aHDh1K5qAAAECZZtaaVr///rsCAgLk4OBQYD8HBwfVr19fv/76q1nFAQAAoGTUr19f06ZN05w5c/TMM8+oXbt2MhqNioyMlMFg0MKFC1WzZk1T/2nTpikqKkrjx4/XhAkTTNvnzp2roUOHavv27XrkkUd077336vz58zp9+rSqVq2q//73v4XeQwIAAEhmhlZVq1ZVfHx8kfomJiaqevXq5nwMAAAAStDgwYPl7e2t0NBQHTp0SM7OzmrTpo3GjBmj9u3bF2mMOnXq6LPPPlNISIi++eYb7d69W9WqVdOTTz6pcePG6a677rLyUQAAgPLCrNDq3nvv1Y4dO/TNN9/o0Ucfzbff1q1blZSUpEceecTsAgEAAFByunTpoi5duhTaLywsLN82d3d3TZ48WZMnT7ZkaQAAoIIxa02r4cOHy2g06t///re++OILpaWl5Wg3GAz67LPP9Oqrr8rOzk6DBw+2SLEAAAAAAACoGMyaafXAAw9o4sSJCg4O1owZM0zhlCT17t1bFy9e1K1bt2Q0GjVixAgW2wQAAAAAAMAdMSu0kqSxY8fKz89PS5YsUVxcnGn7qVOnJEn16tXT2LFj9dRTTxW/SgAAAAAAAFQoZodWktS9e3d1795dFy9eVGxsrG7cuKFKlSqpYcOG8vPzs1SNAAAAAAAAqGCKFVpl8/HxkY+PjyWGAgAAAAAAAMxbiB0AAAAAAACwJrNmWjVp0uSO+tvZ2enEiRPmfBQAAAAAAAAqILNCK6PRWOS+VapUMecjAAAAAAAAUIGZFVpt3rw537abN28qKSlJ33//vb744gs99dRTmj59utkFAgAAAAAAoOIxK7Rq3LhxoX0eeeQR3XPPPVqwYIGaN2+uJ554wpyPAgAAAAAAQAVk1YXYBw8erBo1aigsLMyaHwMAAAAAAIByxqqhlYODg7y8vHTq1ClrfgwAAAAAAADKGauGVjdu3NC5c+fk5ORkzY8BAAAAAABAOWPWmlY3b97Mt81oNCo9PV1nz57V22+/rdTUVAUGBppdIAAAAAAAACoes0KrNm3aFKmf0WiUg4ODRo0aZc7HAAAAAAAAoIIyK7QyGo1F6hcQEKCJEyfq/vvvN+djAAAAAAAAUEGZFVp9//33BQ/q6KiqVauqUqVKZhUFAAAAAACAis2s0KpevXqWrgMAAAAAAAAwserbAwEAAAAAAABzmDXTatKkScX+YDs7Oy1evLjY4wAAAAAAAKD8MSu0+vbbbyXdDp6kvBdmL6jtr+15yczM1Mcff6yNGzfqzJkzyszMlI+Pj3r27KmgoCC5uLgUqc7ExEQtX75c+/btU1JSkry8vNS7d289//zzcnZ2LtIYAAAAAAAAKHlmhVYhISHavXu3wsLCVK1aNfXq1UvNmzdX9erVdevWLcXGxmrz5s06f/68AgIC1K1btyKPnZmZqbFjx2rnzp1yc3NTq1at5OjoqF9++UXBwcHatWuXPvzww0IXeU9ISNCAAQOUkJCgpk2bqlmzZjp8+LCCg4N18OBBrV69Wk5OTuYcPgAAAAAAAKzMrNCqUqVK+vjjj3X//fdr2bJlql69eq4+L7zwgqZPn66tW7fqxRdfVKdOnYo0dkREhHbu3KmAgACFhITI09NTknT16lWNHTtW0dHRevfddzVlypQCx5k9e7YSEhI0adIkjR07VpKUmpqqcePGaf/+/QoLC9Nzzz13ZwcOAAAAAACAEmHWQuxLly6Vg4ODlixZkmdgJUlOTk6aO3eu3NzctGLFiiKPvXHjRknSK6+8YgqsJMnDw0OzZ8+WJG3ZsqXAMc6cOaOdO3eqQYMGGj16tGm7m5ub5s2bJwcHB61du7bINQEAAAAAAKBkmRVaHT16VI0bN1bNmjUL7Ofm5iZfX1+dPHmyyGPXqFFDvr6+atmyZa62hg0bSpKuXLlS4Bh79+6V0WhUly5dZG+f8xC9vb3VtGlTXb58WbGxsUWuCwAAAAAAACXHrMcDXV1dCw2OJMlgMOjSpUtyc3Mr8tgFzco6evSoJKlu3boFjpEdRjVu3DjPdl9fXx09elSnTp2Sn59fkWsDAAAAAABAyTBrplXz5s2VlJSkNWvWFNhv6dKlSk5OVocOHcz5mByMRqOCg4MlSd27dy+wb3agVqdOnTzba9euLUn67bffil0XAAAAAAAALM+smVbPPfec9uzZo4ULF+rEiRPq06eP/Pz85ObmppSUFP36668KDw/XDz/8oEqVKmn8+PHFLvTtt99WVFSUatWqpaCgoAL73rx5U9LtGWF5yd6emppa7LoAAAAAAABgeWaFVu3atdOMGTO0cOFCbd68WZs3b87Vx2g0qkqVKlq8eLFpLSpzLVmyRKtWrZKzs7MWL14sDw+PAvtnr2NlZ2eXZ7vRaMzxTwAAAAAAANgWs0IrSRo6dKgefPBBffDBB9qzZ4+uXr1qavP29tYjjzyikSNHFrr+VEEMBoPmzJmj8PBwubi4aOnSpXrggQcK3S97Da1bt27l2Z6WliZJqlSpktm1AQAAAAAAwHrMDq0k6Z577tHChQsl3X7U7s8//1SVKlXuaOH1/KSkpGjSpEnas2ePqlatqnfffbdIgZX0f2tZ5bdmVVJSUo5+AAAAAAAAsC3FCq3+ys3NzSJhlSRdv35dI0aM0PHjx+Xl5aVVq1bJ39+/yPtnvzUw+y2CfxcXFydJdzQmAAAAAAAASo5Zbw/MlpqaqrCwMD3//PPq2rWr2rVrJ0m6evWqpk2bppMnT97xmOnp6Ro1apSOHz8uPz8/ffLJJ3ccLgUGBkqSduzYoaysrBxt8fHxOnnypOrVqyc/P787rg8AAAAAAADWZ3Zodfz4cT3xxBOaP3++9uzZo0uXLun69euSpIsXL2rTpk365z//qQ0bNtzRuMHBwfr555/l5eWlsLCwQtfEio+PV1xcXI41tXx8fBQYGKizZ89qyZIlpu2pqamaOXOmMjMzNWLEiDuqCwAAAAAAACXHrMcDk5KSFBQUpOTkZLVq1Uo9e/bUp59+qjNnzkiSatWqpbZt2yoyMlKvvvqqGjZsqDZt2hQ67rVr1xQWFiZJ8vDw0Pz58/Pt+9Zbb0mSpk2bpqioKI0fP14TJkwwtc+aNUsDBw7UihUrtGPHDjVq1EiHDx9WUlKSOnbsqIEDB5pz6AAAAAAAACgBZoVWq1atUnJysgYPHqx///vfkqRvv/3W1F6vXj19+OGHmj9/vj766COtWbOmSKHVkSNHTG/8O378uI4fP55v3+zQKj8+Pj6KiIhQcHCwdu/erfPnz8vHx0dDhw7VsGHD5OhoseW8AAAAAAAAYGFmJTc7d+6Um5ubXn755QL7TZkyRRs2bNDhw4eLNG7Hjh0VExNzR7Vkz8zKi5eXlxYsWHBH4wEAAAAAAKD0mbWmVWJionx9feXq6lpgPxcXF9111126du2aOR8DAAAAAACACsqs0KpSpUq6cuVKkfomJyfL3d3dnI8BAAAAAABABWVWaNW8eXMlJSUpMjKywH4HDhxQfHy8mjVrZlZxAAAAAAAAqJjMCq0GDhwoo9GoqVOn6scff8yzz4EDB/TSSy/Jzs5O/fv3L1aRAAAAAAAAqFjMWoi9a9eu+uc//6mIiAgNHTpUNWvWVGpqqiRpzJgxOnPmjC5cuCCj0ajHHntMjz32mEWLBgAAAAAAQPlmVmglSXPnzpWvr69Wrlyp3377zbT9hx9+kCS5ublp+PDhGjduXPGrBAAAAAAAQIVidmglSSNGjNDgwYN16NAhxcXF6caNG6pUqZIaNmyo+++/X5UrV7ZUnQAAAAAAAKhAzAqtpk+frnr16um5555T5cqV1b59e7Vv397StQEAAAAAAKCCMmsh9h07dujjjz+Wq6urpesBAAAAAAAAzAutMjIyVLduXTk4OFi6HgAAAAAAAMC80Kpz5846deqUjhw5Yul6AAAAAAAAAPPWtHrxxRf1v//9T0OGDFG3bt3UunVr1a5dWy4uLvnu06lTJ7OLBAAAAAAAQMViVmjVvXt3SZLRaNSWLVu0ZcuWAvvb2dnpxIkT5nwUAAAAAAAAKiCzQisvLy9L1wEAAAAAAACYmBVa7dixw9J1AAAAAAAAACZmLcQOAAAAAAAAWFOhodWCBQu0du3akqgFAAAAAAAAkFSE0OrDDz/U119/nW/7999/r0OHDlm0KAAAAAAAAFRsxX48cNy4cXrnnXcsUQsAAAAAAAAgyUJrWhmNRksMAwAAAAAAAEhiIXYAAAAAAADYIEIrAAAAAAAA2BxCKwAAAAAAANgcQisAAAAAAADYHEIrAAAAmOzfv19Dhw5V27Zt1aZNGw0ZMkR79uwp1pivvfaaAgICtGHDBgtVCQAAKgLHonT6888/9eOPP5rdLkkPPPDAnVUGAACAErVhwwbNmDFDzs7OateunbKyshQZGamgoCDNmTNHAwYMuOMxd+/erfDwcCtUCwDlR3pGppydHIrdByhvihRanT59WkOHDs2zzc7OrsD27D4nTpwwr0IAAABY3ZUrVzRr1ixVqVJF69evl7+/vyTpyJEjGjFihObNm6fOnTvL09OzyGNeu3ZNr7zyirVKBoByw9nJQb2mbCqwz+ZFT5ZQNYDtKNLjgUajsVh/srKyrH0cAAAAKIa1a9cqPT1dw4cPNwVWktSyZUsFBQUpLS3tjmdM/ec//9G1a9fUqlUrS5cLAAAqgEJnWv36668lUQcAAABKUfa6VV27ds3V1q1bNy1evFi7d+/WxIkTizTeV199pa1bt2ry5Mm6ePGifvnlF4vWCwAAyj8WYgcAAKjgjEajYmNjZW9vL19f31ztDRs2lL29vWJjY2U0GgsdLzExUXPmzFGrVq30/PPPW6NkAABQARBaAQAAVHDXr19Xenq6qlevLmdn51ztjo6OqlGjhm7evKmUlJRCx3v11VeVlpamN954Qw4OLBoMAADMQ2gFAABQwd28eVOSVKlSpXz7uLq6SlKhodX69eu1Z88eTZ48Oc9ZWwAAAEVVpLcHlrbs1y+vW7dO999/f5H2MRgMat26tdLT0/Ns9/T01O7duy1ZJgAAQJlkb1/47zGL8ljghQsX9Oabb+qBBx7QsGHDLFEaAACowGw+tIqOjtbcuXPveL/Y2Filp6erQYMGeb6xpnr16haoDgAAoOxzc3OTJKWlpeXbJ7stv9lYmZmZmjp1qiRpwYIFsrOzs3CVAACgorHp0Grbtm2aPn26UlNT73jfkydPSpL69eunMWPGWLo0AACAcsPd3V1ubm5KTk6WwWCQo2POW0SDwaDk5GS5uLioatWqeY7x3XffKTo6Wj4+PlqyZEmOtuw3B3766afav3+/unfvru7du1vnYAAAQLlhk6FVQkKC3n77bW3atEmVKlVSrVq19Ntvv93RGCdOnJAkNWvWzBolAgAAlBt2dnby8/PTkSNHdO7cOfn5+eVoP3v2rLKysuTv75/vGNm/ZLx48aIuXryYZ5/o6GhFR0frrrvuIrQCAACFssmF2BcvXqxNmzapefPmCg8PN2sRz+yZVoRWAAAAhQsMDJQkbd++PVdb9rZOnTrlu3+/fv0UExOT55/+/ftLuv3YYExMjCZMmGCFIwAAAOWNTYZWvr6+WrhwoSIiIhQQEHDH+xuNRp08eVK1a9fWjh071L9/f7Vu3Vrt2rXTiy++qDNnzlihagAAgLKrX79+cnFxUUhIiI4dO2bafvToUYWGhsrV1VWDBg0ybY+Pj1dcXJyuXr1aGuUCAIAKwCZDq1GjRqlPnz5FepNNXi5evKgbN24oKSlJr732mlxcXNS2bVu5uLhoy5Yt6t+/vw4dOmThqgEAAMqu+vXra9q0abpx44aeeeYZBQUFaeTIkRo4cKBSUlI0Z84c1axZ09R/2rRp6tmzp9atW1eKVQMAgPLMJte0Kq7s9aw8PT21cuVKNWnSRNLtRUQXLVqk1atXa/Lkyfruu+/k4uJSmqUCAADYjMGDB8vb21uhoaE6dOiQnJ2d1aZNG40ZM0bt27cv7fIAAEAFUy5Dqx49emjnzp2yt7eXp6enabujo6NefvllRUZG6vjx49q+fbsef/zxUqwUAADAtnTp0kVdunQptF9YWFiRx5w3b57mzZtXnLIAAEAFZJOPBxaXnZ2dvLy8cgRW2ezt7U2LiP51vQYAAAAAAADYjnIZWhWmVq1akqRbt26VciUAAAAAAADIS7kMrdatW6d//etf2r9/f57tly5dkiTVrVu3JMsCAAAAAABAEZXLNa0uXryor7/+Wk5OTurQoUOOtrS0NH377beSpIceeqg0ygMAAAAAAEAhyvxMq/j4eMXFxenq1aumbf3795eDg4M2b95sCqgkKSMjQ3PnztXly5fVsWNHNW/evDRKBgAAAAAAQCHKfGg1bdo09ezZU+vWrTNt8/Pz0/Tp0yVJEydOVP/+/TVx4kR17dpVERER8vX11RtvvFFaJQMAAAAAAKAQ5fLxQEkaOnSoGjdurNDQUB05ckQxMTHy9vbW6NGjNWrUKFWuXLm0SwQAAAAAAEA+ykRoFRYWZlZb+/bt1b59e2uUBAAAAAAAACsq848HAgAAAAAAoPwhtAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNIbQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNKROh1YYNGxQQEKCffvrpjvZLTEzUa6+9pkceeUQtW7ZUjx49tHz5cqWnp1upUgAAAAAAAFiCzYdW0dHRmjt37h3vl5CQoKefflrh4eGqWrWqOnfurJSUFAUHB2vkyJHKyMiwQrUAAAAAAACwBJsOrbZt26aRI0cqNTX1jvedPXu2EhISNGnSJG3cuFHBwcHatm2bOnTooKioKIWFhVmhYgAAAAAAAFiCTYZWCQkJmjp1qiZMmKCsrCzVqlXrjvY/c+aMdu7cqQYNGmj06NGm7W5ubpo3b54cHBy0du1aS5cNAAAAAAAAC7HJ0Grx4sXatGmTmjdvrvDwcPn6+t7R/nv37pXRaFSXLl1kb5/zEL29vdW0aVNdvnxZsbGxliwbAAAAAAAAFmKToZWvr68WLlyoiIgIBQQE3PH+2WFU48aN8x1fkk6dOmV+kQAAAAAAALAax9IuIC+jRo0q1v5XrlyRJNWpUyfP9tq1a0uSfvvtt2J9DgAAAAAAAKzDJmdaFdfNmzclSa6urnm2Z283Z4F3AAAAAAAAWF+5DK2y17Gys7PLs91oNOb4JwAAAAAAAGxLuQyt3NzcJEm3bt3Ksz0tLU2SVKlSpRKrCQAAAAAAAEVXLkOr7LWs8luzKikpKUc/AAAAAAAA2JZyGVplvzUw+y2CfxcXFydJ8vf3L7GaAAAAAAAAUHTlMrQKDAyUJO3YsUNZWVk52uLj43Xy5EnVq1dPfn5+pVEeAAAAAAAAClHmQ6v4+HjFxcXp6tWrpm0+Pj4KDAzU2bNntWTJEtP21NRUzZw5U5mZmRoxYkRplAsAAAAAKCXpGZmlXQKAO+BY2gUU17Rp0xQVFaXx48drwoQJpu2zZs3SwIEDtWLFCu3YsUONGjXS4cOHlZSUpI4dO2rgwIGlWDUAAAAAoKQ5Ozmo15RNhfbbvOjJEqgGQGHK/Eyr/Pj4+CgiIkL9+vXT1atXtXPnTlWrVk1TpkzRsmXL5OhY5vM6AAAAAACAcqtMJDdhYWFmtXl5eWnBggXWKAkAAAAAAABWVG5nWgEAAAAAAKDsIrQCAAAAAACAzSG0AgAAAAAAgM0htAIAAAAAAIDNKRMLsQMAAKBk7N+/XytWrFBMTIwyMjLUrFkzjRo1SoGBgUUe4+eff1ZISIiio6P1xx9/qHr16mrbtq3Gjh2ru+++24rVAwCA8oSZVgAAAJAkbdiwQSNGjFB0dLRatmyp1q1bKzo6WkFBQQoPDy/SGF9++aUGDRqk7du3y9PTU506dVLlypX11Vdf6amnntKPP/5o5aMAAADlBTOtAAAAoCtXrmjWrFmqUqWK1q9fL39/f0nSkSNHNGLECM2bN0+dO3eWp6dnvmNcvXpVs2fPltFo1PLly9W1a1dJktFo1KpVq/T2229r6tSp2rZtm5ycnErkuAAAQNnFTCsAAABo7dq1Sk9P1/Dhw02BlSS1bNlSQUFBSktLK3S21bZt25SSkqLevXubAitJsrOz0wsvvKCmTZsqPj5e0dHRVjsOAABQfhBaAQAAQHv27JGkHGFTtm7dukmSdu/eXeAYWVlZatq0qdq1a5dn+1133SXp9qwuAACAwvB4IAAAQAVnNBoVGxsre3t7+fr65mpv2LCh7O3tFRsbK6PRKDs7uzzHGTRokAYNGpRnW1ZWlo4fPy5Jqlu3ruWKBwAA5RYzrQAAACq469evKz09XdWrV5ezs3OudkdHR9WoUUM3b95USkqKWZ+xYcMGXbhwQXXq1NG9995bzIoBAEBFQGgFAABQwd28eVOSVKlSpXz7uLq6SpJZodWxY8c0b948SdKUKVPk6MhkfwC4U+kZmRbtB5QF3DEAAABUcPb2hf8e02g0mjX2kSNH9Pzzzys1NVXPPPOM+vTpY9Y4AFDROTs5qNeUTYX227zoyRKoBigZzLQCAACo4Nzc3CRJaWlp+fbJbitoNtbf7dq1S8OGDdO1a9fUr18/zZo1q3iFAgCACoXQCgAAoIJzd3eXm5ubkpOTZTAYcrUbDAYlJyfLxcVFVatWLdKYn3zyicaMGaPU1FSNGDFC8+fPL9KMLgAAgGzcOQAAAFRwdnZ28vPzU2Zmps6dO5er/ezZs8rKypK/v3+Rxlu2bJlmzZolo9GoGTNmaPr06fm+cRAAACA/hFYAAABQYGCgJGn79u252rK3derUqdBxwsLCtHTpUjk5OWnRokUaPny4ResEAAAVB6EVAAAA1K9fP7m4uCgkJETHjh0zbT969KhCQ0Pl6uqqQYMGmbbHx8crLi5OV69eNW2LiYnRwoULJUkLFy5Uz549S+4AAABAucPbAwEAAKD69etr2rRpmjNnjp555hm1a9dORqNRkZGRMhgMWrhwoWrWrGnqP23aNEVFRWn8+PGaMGGCJGnFihXKyMhQ1apV9cMPP+iHH37I87OeeeYZ3X///SVyXAAAoOwitAIAAIAkafDgwfL29lZoaKgOHTokZ2dntWnTRmPGjFH79u0L3T8qKkqS9Mcff2jz5s359uvQoQOhFQAAKBShFQAAAEy6dOmiLl26FNovLCws17Z9+/ZZoyQAAFBBsaYVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsDqEVAAAAAAAAbA6hFQAAAAAAAGwOoRUAAAAAAABsjmNpF5Cf/fv3a8WKFYqJiVFGRoaaNWumUaNGKTAwsEj7GwwGtW7dWunp6Xm2e3p6avfu3ZYsGQAAAAAAABZik6HVhg0bNGPGDDk7O6tdu3bKyspSZGSkgoKCNGfOHA0YMKDQMWJjY5Wenq4GDRqoVatWudqrV69uhcoBAAAAAABgCTYXWl25ckWzZs1SlSpVtH79evn7+0uSjhw5ohEjRmjevHnq3LmzPD09Cxzn5MmTkqR+/fppzJgxVq8bAAAAAAAAlmNza1qtXbtW6enpGj58uCmwkqSWLVsqKChIaWlpCg8PL3ScEydOSJKaNWtmtVoBAAAAAABgHTYXWu3Zs0eS1LVr11xt3bp1k6QirUWVPdOK0AoAAAAAAKDssanHA41Go2JjY2Vvby9fX99c7Q0bNpS9vb1iY2NlNBplZ2eX7zgnT55U7dq1tWPHDoWHhysuLk4uLi7q0KGDxo8fn+f4AAAAAAAAsA02NdPq+vXrSk9PV/Xq1eXs7Jyr3dHRUTVq1NDNmzeVkpKS7zgXL17UjRs3lJSUpNdee00uLi5q27atXFxctGXLFvXv31+HDh2y5qEAAAAAAACgGGxqptXNmzclSZUqVcq3j6urqyQpJSVF7u7uefbJXs/K09NTK1euVJMmTSRJBoNBixYt0urVqzV58mR99913cnFxseQhAAAAAAAAwAJsaqaVvX3h5RiNxkL79OjRQzt37lRERIQpsJJuz9R6+eWX1axZMyUmJmr79u3FqhcAAAAAAADWYVOhlZubmyQpLS0t3z7ZbQXNxrKzs5OXl5c8PT1ztdnb26tTp06SpGPHjhWnXAAAAAAAAFiJTYVW7u7ucnNzU3JysgwGQ652g8Gg5ORkubi4qGrVqmZ/Tq1atSRJt27dMnsMAAAAAAAAWI9NhVZ2dnby8/NTZmamzp07l6v97NmzysrKkr+/f4HjrFu3Tv/617+0f//+PNsvXbokSapbt26xawYAAAAAAIDl2VRoJUmBgYGSlOd6U9nbsh/vy8/Fixf19ddfa+PGjbna0tLS9O2330qSHnrooeKWCwAAAACAzUjPyLRIH8AW2NTbAyWpX79+Cg0NVUhIiB5++GE1b95cknT06FGFhobK1dVVgwYNMvWPj4/XzZs3VaNGDXl4eEiS+vfvr48++kibN29W165d1aNHD0lSRkaG5s6dq8uXL6tjx46msQEAAAAAKA+cnRzUa8qmAvtsXvRkCVUDFI/NhVb169fXtGnTNGfOHD3zzDNq166djEajIiMjZTAYtHDhQtWsWdPUf9q0aYqKitL48eM1YcIESZKfn5+mT5+u+fPna+LEiWrRooW8vb31yy+/KCEhQb6+vnrjjTdK6xABAAAAAABQCJsLrSRp8ODB8vb2VmhoqA4dOiRnZ2e1adNGY8aMUfv27Ys0xtChQ9W4cWOFhobqyJEjiomJkbe3t0aPHq1Ro0apcuXKVj4KAAAAAAAAmMsmQytJ6tKli7p06VJov7CwsHzb2rdvX+SQCwAAAAAAALbD5hZiBwAAAAAAAAitAAAAAAAAYHMIrQAAAAAAAGBzCK0AAAAAAGVeekZmaZcAwMJsdiF2AAAAAACKytnJQb2mbCqwz+ZFT5ZQNQAsgZlWAAAAAAAAsDmEVgAAAAAAALA5hFYAAAAAAACwOYRWAAAAAAAAsDmEVgAAAAAAALA5hFYAAAAAAACwOYRWAAAAAAAAsDmEVgAAAAAAALA5hFYAAAAAAJuVnpFZ2iWUO0U9p5x7lDbH0i4AAAAAAID8ODs5qNeUTYX227zoyRKopnzgnKKsYKYVAAAAAAAAbA6hFQAAAACgVPD4GYCC8HggAAAAAKBUFOUxNR5RAyouZloBAAAAAADA5hBaAQAAAAAAwOYQWgEAAAAAAMDmEFoBAAAAACyORdYBFBcLsQMAAAAAiiw9I1POTg6F9mORdQDFRWgFAAAAACiyooRREoEUgOLj8UAAAAAAAADYHEIrAAAAAACQS1HWJWPtMlgTjwcCAAAAAIBcWJcMpY2ZVgAAAAAAALA5hFYAAAAAAACwOYRWAAAAAABJrE8EwLawphUAAAAAQBJrGAGwLcy0AgAAAAAAZuENg7Amm51ptX//fq1YsUIxMTHKyMhQs2bNNGrUKAUGBhZ5jMTERC1fvlz79u1TUlKSvLy81Lt3bz3//PNydna2YvUAAABlE/dgAIA7wew8WJNNzrTasGGDRowYoejoaLVs2VKtW7dWdHS0goKCFB4eXqQxEhIS9PTTTys8PFxVq1ZV586dlZKSouDgYI0cOVIZGRlWPgoAAICyhXswoPxipguAssjmZlpduXJFs2bNUpUqVbR+/Xr5+/tLko4cOaIRI0Zo3rx56ty5szw9PQscZ/bs2UpISNCkSZM0duxYSVJqaqrGjRun/fv3KywsTM8995zVjwcAAKAs4B4MKN+KMhtGYkYMANticzOt1q5dq/T0dA0fPtx0syRJLVu2VFBQkNLS0gr9Td+ZM2e0c+dONWjQQKNHjzZtd3Nz07x58+Tg4KC1a9da7RgAAADKGu7BgLKLWVQAyiubC6327NkjSeratWuutm7dukmSdu/eXeAYe/fuldFoVJcuXWRvn/MQvb291bRpU12+fFmxsbEWqhoAAKBs4x4MKLuyZ1EV9AcoTUUNVglg8Xc29Xig0WhUbGys7O3t5evrm6u9YcOGsre3V2xsrIxGo+zs7PIcJ/tGqHHjxnm2+/r66ujRozp16pT8/PwsdwAAAABlEPdggO1Kz8iUs5NDaZcBFAuPp8JcNhVaXb9+Xenp6fLw8MjzzTKOjo6qUaOGfv/9d6WkpMjd3T3Pca5cuSJJqlOnTp7ttWvXliT99ttvFqocAACg7OIeDCh5RQ2jeDMbKpKiXBcEuRWLTYVWN2/elCRVqlQp3z6urq6SVOANU/Y42X3zGyM1NbVIdWVm3p6imJCQUKT+5shIvVpon0uXLlnt8wEAqOiy/zuf/d/9iqQi34OhbMswZMnJseAVT9INWXIupE9R+1lyLEkKmvddoX1CX+1W6M8Kly5dskgfWx2L2sv+WEX9vCuJ/yv0unhv2iOFXvdS0a7DovwdAusq7P7LpkKrv699kBej0VjkcfKbup49RlHGkqSkpCRJ0uDBg4vU31oe2fFGqX4+AAAVQVJSku66667SLqNEcQ8G2K6i/AxgqT62Oha1l/2xLPl5j/JzcbmU3/2XTYVWbm5ukqS0tLR8+2S3FfSbwOxxbt26ZfYYf9W8eXOtW7dOtWvXloMD0xABACiPMjMzlZSUpObNm5d2KSWOezAAAFAaCrv/sqnQyt3dXW5ubkpOTpbBYJCjY87yDAaDkpOT5eLioqpVq+Y7TvY6Cvmtl5D9W7v81lv4O1dXV91///1F6gsAAMquijbDKhv3YAAAoLQUdP9lUw9v2tnZyc/PT5mZmTp37lyu9rNnzyorK0v+/v4FjpP9xpr8XqccFxcnSYWOAwAAUBFwDwYAAGyRTYVWkhQYGChJ2r59e6627G2dOnUq0hg7duxQVlZWjrb4+HidPHlS9erV41XLAAAA/x/3YAAAwNbYXGjVr18/ubi4KCQkRMeOHTNtP3r0qEJDQ+Xq6qpBgwaZtsfHxysuLk5Xr/7fmwh8fHwUGBios2fPasmSJabtqampmjlzpjIzMzVixIiSOSAAAIAygHswAABga+yMRX19Swlat26d5syZIycnJ7Vr105Go1GRkZEyGAxauHChnnzySVPfIUOGKCoqSuPHj9eECRNM2y9evKiBAwcqKSlJ/v7+atSokQ4fPqykpCR17NhR7733Xq71GgAAACoy7sEAAIAtsck7hsGDB8vb21uhoaE6dOiQnJ2d1aZNG40ZM0bt27cv0hg+Pj6KiIhQcHCwdu/erfPnz8vHx0dDhw7VsGHDuFkCAAD4G+7BAACALbHJmVYAAAAAAACo2GxuTSsAAAAAhUtPT9eiRYvUuXNntW7dWoMGDdLhw4dLu6wy6cyZMwoICMj1JyIiorRLK5Nu3Lih+fPn6x//+Idat26tfv366fvvvy/tssqklStXauDAgaVdRrlw9uxZtW7dmuvaTJGRkXn+PRkQEKBHHnnEap/L/Gwr2b9/v1asWKGYmBhlZGSoWbNmGjVqlOmtOkWRmJio5cuXa9++fUpKSpKXl5d69+6t559/Xs7Ozlasvvwp7vdhMBjUunVrpaen59nu6emp3bt3W7LkCmHDhg2aMWOG1q1bp/vvv7/I+3FtWIc53wfXhuVkZmbq448/1saNG3XmzBllZmbKx8dHPXv2VFBQkFxcXIo0DtcHUHEsX75cn3/+uRYuXCgfHx+FhoYqKChIX3/9tTw9PUu7vDIlJiZG7u7u+uabb3Jsr1KlSilVVLbNmDFDMTExev3111WvXj19/fXXGj9+vFavXl3kR41xe53Bd955R61bty7tUsq8jIwMvfTSS0pNTS3tUsqs1q1ba+/evTm2nTp1SqNGjdILL7xgtc8ltLKC7B/8nJ2d1a5dO2VlZSkyMlJBQUGaM2eOBgwYUOgYCQkJGjBggBISEtS0aVM1a9ZMhw8fVnBwsA4ePKjVq1fLycmpBI6m7LPE9xEbG6v09HQ1aNBArVq1ytVevXp1K1RevkVHR2vu3Ll3vB/XhnWY+31wbVhGZmamxo4dq507d8rNzU2tWrWSo6OjfvnlFwUHB2vXrl368MMPValSpQLH4foAKpbvv/9evXv3Nv0Sbvr06YqIiNChQ4fUs2fPUq6ubDl16pTuvvtu1a5du7RLKfOSkpK0bds2rVy5Uh06dJAkjR49WgcOHNBnn31GaFUEiYmJmjVrliIjI9WoUaPSLqdcWLp0qSpXrlzaZZRpzs7OOf6OzMjI0Pz589WtWzc9/fTTVvtcQisLu3LlimbNmqUqVapo/fr18vf3lyQdOXJEI0aM0Lx589S5c+dCf/s1e/ZsJSQkaNKkSRo7dqyk26+LHjdunPbv36+wsDA999xzVj+ess5S38fJkycl3X4d+JgxY6xed3m3bds2TZ8+3azfdHBtWF5xvg+uDcuIiIjQzp07FRAQoJCQENPfSVevXtXYsWMVHR2td999V1OmTClwHK4PoGLx8PDQDz/8oGeffVZeXl6KiIiQs7OzmjZtWtqllTkxMTG6++67S7uMcqFSpUoKCQlRmzZtcmy3s7PT9evXS6mqsuX48eOqXLmyvvzySy1fvlznz58v7ZLKtB9//FHh4eH64osv1Llz59Iup9wICwvT//73P61evdqqn8OaVha2du1apaena/jw4aaARJJatmypoKAgpaWlKTw8vMAxzpw5o507d6pBgwYaPXq0abubm5vmzZsnBwcHrV271mrHUJ5Y4vuQpBMnTkiSmjVrZrVaK4KEhARNnTpVEyZMUFZWlmrVqnVH+3NtWFZxvw+Ja8NSNm7cKEl65ZVXcoToHh4emj17tiRpy5YtBY7B9QFUPP/+97/l6OioRx55RC1atNCiRYv0zjvvqGHDhqVdWplz6tQpXblyRc8884w6dOigQYMG5XoMBkXj7u6ujh07yt3d3bTt559/1sGDBwkMiugf//iHFi1aJB8fn9Iupcz7448/NHXqVM2cOVNeXl6lXU65cfPmTa1cuVJDhw61+uPohFYWtmfPHklS165dc7V169ZNkgpd32Xv3r0yGo3q0qWL7O1zfkXe3t5q2rSpLl++rNjYWAtVXX5Z4vuQ/m82CT+YF8/ixYu1adMmNW/eXOHh4fL19b2j/bk2LKu434fEtWEpNWrUkK+vr1q2bJmrLfuHzytXrhQ4BtcHUH6cP38+38VuAwICdOnSJUnS6dOn5e7uruXLlys8PFz9+vXT1KlTdfz48VI+AttRlHOZmpqqS5cu6c8//9TkyZO1atUqNW/eXEFBQdq/f39pH4JNKeq/m38VFxen8ePHq1WrVkValgOwpNmzZ+vee+9Vr169SruUcmXTpk1KS0vT0KFDrf5ZPB5oQUajUbGxsbK3t8/zh7+GDRvK3t5esbGxMhqNsrOzy3Oc7B8oGjdunGe7r6+vjh49qlOnTsnPz89yB1DOWOr7MBqNOnnypGrXrq0dO3YoPDxccXFxcnFxUYcOHTR+/HizftiviHx9fbVw4UL17t071w/VRcG1YVnF/T64NixnxYoV+bYdPXpUklS3bt0Cx+D6AMoPb29vbd26Nd92T09PxcfHa+rUqQoNDVW7du0kSS1atFBsbKyCg4O1cuXKkirXphXlXDo5OenQoUNycnIyvbCiefPmiouLU2hoqGldJhTtfP7Vjz/+qPHjx8vb21srV65kXUWUqC+++EI//fSTNm/eXNqllDubNm1St27d5OHhYfXPIrSyoOvXrys9PV0eHh55vqHJ0dFRNWrU0O+//66UlJQcU2b/Kvu36XXq1MmzPXvxs99++81ClZdPlvo+Ll68qBs3bujGjRt67bXX1KZNG7Vt21YnT57Uli1btHPnToWEhOi+++6z9iGVeaNGjSrW/lwbllXc74Nrw/qMRqOCg4MlSd27dy+wL9cHUH44OTkVur7SkSNHlJGRoRYtWuTY3qpVK+3YscOa5ZUpRTmXkvJcoNnf318//PCDNcoqs4p6PiXpyy+/1CuvvKIHH3xQwcHB+d5rA9by+eef6/fff8/1WOqcOXO0Zs2aQpdeQN6uXr2qn3/+OcdyFNZEaGVBN2/elKQC3+7k6uoqSQWGJNnjZPfNbwxe11kwS30f2Wv2eHp6auXKlWrSpIkkyWAwaNGiRVq9erUmT56s7777rsivpId5uDZsC9eG9b399tuKiopSrVq1FBQUVGBfrg+gYsmefRkTE5NjwetTp07xtrE7FB0dreeee04ffvhhjse0jx07lu/sVRRs8+bNmjp1qnr16qX58+czwwql4q233tKtW7dybOvevbvGjx+vJ554opSqKvsOHz4sOzs7PfDAAyXyeYRWFlSUx2uMRmORxynocbWijlWRWer76NGjh3bu3Cl7e/scU54dHR318ssvKzIyUsePH9f27dv1+OOPF6tmFIxrw7ZwbVjXkiVLtGrVKjk7O2vx4sWFTr/m+gAqlpYtW+q+++7TK6+8otmzZ6tu3br64osvtH//fq1bt660yytTmjdvrvr16+vf//63XnvtNVWvXl0ff/yxoqOj9emnn5Z2eWVOQkKC/v3vf6tt27Z6+eWXde3aNVObk5OTqlevXmq1oWLJb4FwDw8P1atXr4SrKT9OnDghHx8fubm5lcjnsRC7BWV/aWlpafn2yW4raPZP9jh/T4XvZAxY7vuws7OTl5dXnn/p2dvbq1OnTpJu/zYO1sW1YVu4NqzDYDDotdde07vvvisXFxctW7asSL/J4voASt+GDRsUEBCgn376Kd8++/fv19ChQ9W2bVu1adNGQ4YMMb045k7Y29vrvffeU/v27TVjxgz17dtXBw8e1AcffJBj5lVZVZLn0snJSaGhoQoICNDEiRPVp08fHTt2TKtXr1bTpk2Lcxg2oyTP57Zt23Tz5k0dPHhQgYGBevjhh01/xowZU5zDsGkleY7LO86lZVn6fCYlJalatWrWKjcXZlpZkLu7u9zc3JScnCyDwSBHx5yn12AwKDk5WS4uLqpatWq+42SvR5LfuiNJSUk5+iFvlvo+ClOrVi1J+f+gCMvh2ihbuDbuXEpKiiZNmqQ9e/aoatWqevfdd4s89ZrrAyhd0dHRmjt3boF9NmzYoBkzZsjZ2Vnt2rVTVlaWIiMjFRQUpDlz5tzxm9WqVaumWbNmadasWcUp3eaUxrn09PTUf//73+KUbbNK+nwOHTq0RN4oZkuseY7feOMNa5Rss6z972tMTIylS7Zp1jifhY1nacy0siA7Ozv5+fkpMzNT586dy9V+9uxZZWVlyd/fv8Bxsp+dz++15HFxcZJU6DgVnaW+j3Xr1ulf//pXvq88zn61b2Fv9kLxcW3YFq4Ny7p+/brpt1peXl5at27dHa0VwPUBlJ5t27Zp5MiRBa4Zd+XKFc2aNUtVqlTR559/rpCQEL3//vtav3693N3dNW/ePCUmJpZg1baJc2lZnE/r4xxbDufSssrL+SS0srDAwEBJ0vbt23O1ZW/LfmSmsDF27NihrKysHG3x8fE6efKk6tWrxyvLi8AS38fFixf19ddfa+PGjbna0tLS9O2330qSHnrooeKWi0JwbdgWrg3LSU9P16hRo3T8+HH5+fnpk08+ueNwiesDKHkJCQmaOnWqJkyYoKysLNMM07ysXbtW6enpGj58eI7ru2XLlgoKClJaWprCw8NLomybxLm0LM6n9XGOLYdzaVnl7XwSWllYv3795OLiopCQkBzruBw9elShoaFydXXVoEGDTNvj4+MVFxenq1evmrb5+PgoMDBQZ8+e1ZIlS0zbU1NTNXPmTGVmZmrEiBElc0BlnCW+j/79+8vBwUGbN282/RAuSRkZGZo7d64uX76sjh07qnnz5iVzUBUE14Zt4dqwruDgYP3888/y8vJSWFhYobPTuD4A27B48WJt2rRJzZs3V3h4uHx9ffPtm702SNeuXXO1devWTZK0e/du6xRaBnAuLYvzaX2cY8vhXFpWeTufrGllYfXr19e0adM0Z84cPfPMM2rXrp2MRqMiIyNlMBi0cOFC1axZ09R/2rRpioqK0vjx4zVhwgTT9lmzZmngwIFasWKFduzYoUaNGunw4cNKSkpSx44dNXDgwNI4vDLHEt+Hn5+fpk+frvnz52vixIlq0aKFvL299csvvyghIUG+vr4V7lnzksC1YVu4Nqzn2rVrCgsLk3T7bTbz58/Pt+9bb70liesDsBW+vr5auHChevfuXeBbi41Go2JjY2Vvb5/nDw8NGzaUvb29YmNjZTQa830LaHnGubQszqf1cY4th3NpWeXtfBJaWcHgwYPl7e2t0NBQHTp0SM7OzmrTpo3GjBmj9u3bF2kMHx8fRUREKDg4WLt379b58+fl4+OjoUOHatiwYbkWFUf+LPF9DB06VI0bN1ZoaKiOHDmimJgYeXt7a/To0Ro1apQqV65s5aNANq4N28K1UXxHjhwxLVZ//PhxHT9+PN++2aFVfrg+gJI1atSoIvW7fv260tPT5eHhIWdn51ztjo6OqlGjhn7//XelpKTI3d3d0qXaPM6lZXE+rY9zbDmcS8sqb+eTu1cr6dKli7p06VJov+zfrufFy8tLCxYssGRZFZYlvo/27dsXOeRC0RR0vrk2Sp653wfXRvF07Njxjt9kw/UBlC03b96UJFWqVCnfPq6urpJUoX/QKgrOpWVxPq2Pc2w5nEvLKivnkzWtAAAAACsq6PGMbEajsQQqKfs4l5bF+bQ+zrHlcC4tq6ycT0IrAAAAwIrc3Nwk3X6zan6y2wr6jTc4l5bG+bQ+zrHlcC4tq6ycT0IrAAAAwIrc3d3l5uam5ORkGQyGXO0Gg0HJyclycXFR1apVS6HCsoNzaVmcT+vjHFsO59Kyysr5JLQCAAAArMjOzk5+fn7KzMzUuXPncrWfPXtWWVlZ8vf3L/niyhjOpWVxPq2Pc2w5nEvLKivnk9AKAAAAsLLAwEBJ0vbt23O1ZW/r1KlTidZUVnEuLYvzaX2cY8vhXFpWWTifhFYAAACAlfXr108uLi4KCQnRsWPHTNuPHj2q0NBQubq6atCgQaVYYdnBubQszqf1cY4th3NpWWXhfDqW6qcDAAD8zYYNGzRjxgytW7dO999/f7HHi4uL07Jly3Tw4EH98ccfqlmzpjp27Khx48bJy8vLAhUDhatfv76mTZumOXPm6JlnnlG7du1kNBoVGRkpg8GghQsXqmbNmqVdZpnAubQszqf1cY4th3NpWWXhfBJaAWVYYmKiwsPDtWfPHp05c0a3bt1StWrV1KRJE/Xq1Uu9evWSg4NDaZdZYk6fPq1PPvlE+/fvV2JiorKysuTh4aFWrVqpZ8+e6tatW2mXqLi4ON19992m/3/p0iU98sgjkqTDhw+rcuXKpVVagQwGgwYMGCAXFxetX79ekrR06VItW7ZMPXr0UHBwcJHGuXHjhrp166auXbtq7ty51iwZZVR0dLRF/904cuSIhg0bptTUVPn7++u+++5TTEyMIiIitH37dn388cdq1KiRxT4PKMjgwYPl7e2t0NBQHTp0SM7OzmrTpo3GjBmj9u3bl3Z5ZQrn0rI4n9bHObYczqVl2fr5tDMajcbSLgLAnYuIiNDcuXOVlpYme3t7eXp6qkaNGrp8+bKuX78uSWrWrJneffdd1a1bt5Srtb41a9bozTfflMFgUNWqVeXj46PMzExdunRJN27ckCS1a9dO7777bqkEQ+fOndPs2bNVtWrVHAFPWQmt3nvvPS1evFiffvqpWrVqJcm80EqS1q5dq7lz5yo0NNT0HD0gSdu2bdP06dOVkpIiSRaZadWvXz8dP35cM2bM0PDhwyVJmZmZmjNnjj755BN16dJFK1asKG7pAAAAsALWtALKoDfffFMzZ85UVlaWnn/+ee3bt087d+7Uxo0bFRUVpVWrVumuu+7S8ePHNWzYMP3555+lXbJV7dq1SwsWLJCTk5OWLl2qyMhIbdiwQZs2bdKhQ4e0ZMkS1apVSwcPHtT06dNLpcbNmzfrwIEDubZ7enpq69at2rp1q9zc3EqhssLFx8drxYoV6tatmymwKo4BAwaoXr16ev3115Wenm6BClHWJSQkaOrUqZowYYKysrJUq1Yti4x77do1HT9+XNWrVzcFVpLk4OCgSZMmSZJ+/PFHi3wWAAAALI/QCihj9u7dq/fff18ODg5666239NJLL8nDwyNHn06dOiksLEw1atTQuXPntHTp0lKqtmSEhoZKkl588UV1795d9vY5/2p79NFHtWjRIkm3Z3LExsaWeI35cXJy0t133627775bdnZ2pV1OnpYuXapbt25p1KhRFhnPyclJQUFBOnfunCIiIiwyJsq2xYsXa9OmTWrevLnCw8Pl6+tbYP9ffvlF48aNU7t27dSiRQv16NFD77zzjmlWZbbsx6NTUlJyhffJycmSpGrVqlnwSAAAAGBJhFZAGZKVlaX//Oc/MhqN6tu3rx599NF8+3p6eppChoiICKWmppZUmSXuxIkTkqQWLVrk26ddu3by8fGRdPttGCia+Ph4ffnll7rnnnvUsmVLi43bq1cvubi4KDQ0VJmZmRYbF2WTr6+vFi5cqIiICAUEBBTYd8OGDRo4cKB27NghHx8fdenSRWlpaVqxYoUGDhyoa9eumfpWqVJF9957rzIyMjRhwgSdOnVKt27d0pEjRzRlyhRJ0siRI615aAAAACgGFmIHypCoqChduHBBkvTcc88V2r9v377y8PDQgw8+aHr0LHsNpcaNG2vx4sV69dVXdeLECVWrVk2jR4/Ws88+K0n6448/9OGHH2rbtm26cOGC7O3t1ahRI/Xs2VPPPvusXF1dc33ed999p/DwcMXFxSkpKUnVq1dXy5YtNWjQID388MPF7p8fR8fbf5Xt2rVLrVu3zrdfaGio7Ozs5Onpmavtxo0bWrNmjb799ltduHBBDg4O8vf3V79+/fTUU0/luaC90WjU5s2b9dlnn+n06dP6888/Va9ePXXt2lWjR49WlSpVJCnHD+HffvutAgIC9OCDDyosLKzANa2ysrK0YcMGbdy4Ub/++qvS09Pl5eWlTp06KSgoKNdxZK8xNXXqVNM6U/v379e1a9dUt25d9ejRI0ddRfHpp5/KYDDoiSeeKLDfmTNn9Pbbb5veNHLPPfdo4MCB6t27d579q1Spok6dOmnbtm3atWuX/vGPfxS5JpQ/RZ3FFxcXp9dee01ubm5auXKl7rvvPklSRkaG5s6dq/DwcM2dO9c0s1K6/Tj1Cy+8oAMHDqhXr16m7ZUrV9aiRYsK/XcbAAAApYeZVkAZcvDgQUlS7dq1c7yBLj81atRQnz595O3tnavtzz//1MiRI3Xq1Cn5+fnpzz//NI157tw5Pfnkk1q2bJni4uLUsGFD1a9fXydOnNCbb76pp59+WklJSTnGW7VqlcaPH689e/bI3t5eAQEBysrK0vfff6+RI0dq7dq1xepfkOy3WqxYsULTp0/XoUOHlJWVlatfw4YNddddd+UK3C5duqR+/fpp6dKlOnPmjOrXry9PT09FR0fr3//+t1544YVcay+lp6dr3LhxevnllxUZGanKlSvr7rvv1uXLlxUaGqpBgwaZHlVq06aNvLy8JEnVq1dXmzZt5O/vX+Ax3bp1SyNGjNCrr76qn376STVr1lTjxo2VkJCgjz76SL169dJPP/2U576nT59Wnz599NVXX6lKlSqqV6+eLl68qNDQUA0bNkwGg6FoJ1a3H6eUVOCC6WfPntXTTz+t77//Xl5eXqpZs6YOHz6sl19+Wa+88kq++z300EOSpG+++abI9aBi+/DDD5WRkaGJEyeaAivp9iOnM2fONK0Rl5iYaGqrU6eO+vbtKycnJwUEBOgf//iH6tevr5SUFK1evVqXLl0qjUMBAABAURgBlBkTJkww+vv7G0eMGGH2GBcvXjT6+/sb/f39jd27dzf+9ttvRqPRaExOTjZmZWUZ09PTjT169DD6+/sbn332WeP//vc/075nzpwx9urVy+jv728cNGiQaXtycrKxWbNmxhYtWhijoqJM2w0Gg/G9994z+vv7G++9915jamqqWf0Lc/78eeODDz5oOi5/f3/jAw88YBw9erTxgw8+MJ4+fTrffQ0Gg7FPnz5Gf39/4+jRo41JSUmmttOnTxsfe+wxo7+/v/H111/PsV9wcLDR39/f2L59e+OPP/5o2n7p0iXjE088YfT39ze++uqrufpPmDAhxzh//T5u3Lhh2j59+nSjv7+/MTAw0BgdHW3afv36dePkyZON/v7+xrZt2xqvXLmS6zP8/f2NTz/9tPH8+fOmtm3bthkDAgKM/v7+xq1btxbhrBqNV65cMX0XWVlZudr/+nldu3Y1xsbGmtq++eYbY/PmzY3+/v7Gr776Ks/xY2JijP7+/saOHTsWqR5UHM8++6zR398/x7VlNBqN3bt3N/r7+xt//fXXPPebMmVKjn/n0tLSjM8884yxSZMmxi1btpj6ZWZmGpcsWWL09/c3duvWzZiWlma9gwEAAIDZmGkFlCHZCwlXr17dIuM999xzqlmzpmlMOzs7bdmyRWfPnlWtWrX07rvvqm7duqb+jRo10qpVq+Tm5qaffvpJu3btknR7ZlZGRoYaNWqkBx54wNTfwcFBo0ePVrdu3fToo4+a1pq50/6FadCggcLDw3X//febtl2/fl07duzQggUL9Pjjj+vxxx/X1q1bc+27bds2nThxQg0bNtTixYtzvLXMz89Pixcvlr29vT7++GP9/vvvkm7Psvrggw8kSQsWLMjxufXq1dP8+fMlSV9//bVZb8e7dOmSvvjiC0m3H/m79957TW1Vq1bVm2++qWbNmik5OVlr1qzJtb+jo6OCg4PVoEED07Zu3bqpXbt2kqSff/65SHVkv1XN19e3wEXi7ezstGzZshyz/3r06KExY8ZIkt5///0892vYsKEcHR2VkJCgixcvFqkmVGwJCQmSpN69eysgICDXn82bN0uS/ve//0mSPv/8cx0+fFgDBgxQz549TePY29tr4sSJateunc6fP5/n3w0AAAAofYRWQBmS/VjbnTzeVZC/hiHZsoOoXr165bn2Ud26ddWtWzdJ0s6dOyXdDmocHBz066+/6q233soVQCxbtkwLFiwwPSJ3p/2LomHDhlq3bp02bNig0aNHq3nz5jneIhgbG6vJkydr6tSpMhqNpu07duyQdDvUcXFxyTWuv7+//P39lZGRYXo888cff1RKSopq166tjh075tqnRYsW2rhxo3bt2iVnZ+ciH0O2PXv2KCsrS82aNVOrVq1ytTs4OGjQoEGS/u87+KuAgIA81+1q1KiRJOV6w1p+sh+byl7APj/33XdfnotnP/XUU5Kk48ePmwK/v3J2djZ9xzyihaLIXrT/iSeeUK9evfL9c9ddd0m6vQ6g9H+Pov5d9vV78uTJEqgeAAAAd4qF2IEypHbt2pL+71Xtlhrvr86dOydJatKkSb77NW3aVJs2bTL1rV27toYMGaI1a9YoJCREISEhatiwoR5++GF16tRJ7du3l5OTU47PvZP+d6JZs2Zq1qyZJk+erD///FORkZHasWOHvvrqK6WlpWnTpk1q1aqVBg8eLOn2ws7S7XWVDh06lOeY2bM7zp49K0mmxfAbN26c7wykpk2bmlW/VLTvoFmzZjn6/lWdOnXy3Cc79Mxrva+8ZP97VtjC7fnV6enpqSpVqujPP//U2bNnTbP6/srd3T3HZwEFqVOnji5fvqyXX345xyzQ/Pzxxx+SlOeLFP66PSMjw3JFAqgQEhMTFR4erj179ujMmTO6deuWqlWrpiZNmpgC9Pz+7imPTp8+rU8++UT79+9XYmKisrKy5OHhoVatWqlnz56mX3iWpri4uByzwgt6GY4tMRgMGjBggFxcXLR+/XpJ//fynewX7xTFjRs31K1bN3Xt2lVz5861ZsmARTHTCihDGjZsKOn/gpaiiImJyfcHsrxmFqWkpEhSgf/hzm7L7itJM2bM0JtvvqnWrVvLzs5O586d09q1a/X8888rMDBQn376aY4x7rS/OapUqaKuXbtq/vz5+vrrr+Xr6ytJOcbOnnV08eJFHT58OM8/2Y8pZj+emf3/s9/IaGlF+Q6yP9tgMCgtLS1HW2Gzu/4606wg2T/w5/WmyLxqKajt1q1bebZXqlQpx2cBBcl+FDd7RujfjRw5UgMGDNCRI0ckyXTN59d///79kqR77rnH0qUCKMciIiLUrVs3LV++XMeOHVOVKlXk7+8vg8GgvXv3atq0afrnP/9p+qVXebdmzRr16dNHa9eu1W+//WZ68c3169e1detWjR8/XsOGDctx31iSzp07p+HDh2vJkiWl8vnFFRISomPHjmnatGnFGsfd3V3jxo3Tp59+qj179lioOsD6CK2AMqRTp06SpN9//10xMTGF9k9JSdFTTz2lBx98sMj/ccoOGQp6hCw7vPl7WNG7d2998skn2rdvn95++2099dRT8vDwUHJysv79739r+/btxeqflw8++EA9evQwrSOVn3r16mnKlCmSpPPnz5u2Z4cmwcHBiomJKfDPjBkzcuxz8+bNQuszx518B46OjnmGj5aQPW5hjxOmpqbm25Z9g1q1atU827OPw1rHgPJlyJAhsre319tvv53j7ZlGo1HLli3T3r17denSJVMI1b9/f9nb2ysiIkLfffddjrHWrFmjXbt2ycPDI8d6VwBQkDfffFMzZ85UVlaWnn/+ee3bt087d+7Uxo0bFRUVpVWrVumuu+7S8ePHNWzYMNN/58qrXbt2acGCBXJyctLSpUsVGRmpDRs2aNOmTTp06JCWLFmiWrVq6eDBg5o+fXqp1Lh582YdOHAg1/bsN85u3brVar+ILK74+HitWLFC3bp1y3PJiDs1YMAA1atXT6+//rpZ664CpYHQCihD7r77bvn5+UlSngtw/93GjRuVkZEhg8FgepysMNnrHhW0xsvx48clybTQ982bN3XixAnTDLCaNWvq8ccf1/z587Vr1y516NBBkvTll1+a1b8gRqNR586d044dOwp97O2vi85ny177pqDZa9HR0Tp16pRptlD2jLfY2Nh89xkzZozGjh1bYJ/83Ml3UNh6U8Xh4eEhqfBH9/J6RFG6PXvtxo0bsre3N814+bvsWWt5PToI/F2LFi00bdo0Xb9+Xc8++6z69eunCRMm6NFHH9XSpUvl6uqqJUuWmGYbBgQEmH64HD9+vPr06aPx48erR48eWrBggdzc3LRkyRLTY6oAUJC9e/fq/fffl4ODg9566y299NJLpv9WZuvUqZPCwsJUo0YNnTt3TkuXLi2laktGaGioJOnFF19U9+7dc6wnKkmPPvqoFi1aJOn2y2/MuS+yFicnJ9199926++67C3zhTGlaunSpbt26pVGjRllkPCcnJwUFBencuXOKiIiwyJiAtRFaAWXMuHHjJElffPGFvv/++3z7Xbx40XSj9PTTT+e6qcpP9myur776Ks/fDiYkJJg+9+GHH5YkhYWFqW/fvnnOdnJ2dtZ9990n6f/WUrrT/gXp3r27HB0ddfHiRa1du7bAvt98842knIsyd+7cWdLt8/n3x+yk2+fx2WefVa9evRQdHS3p9sLjlSpVUmJiYp6/uTtz5ox27NhhmsUhyXQzVJRH8wIDA2Vvb68TJ07k+aa/zMxMffLJJ5L+7zuwhuyg6cqVKwX2i4yMNL2t7a8+/vhjSbcf6corFEhPTzcFYtlBHVCY4cOH66OPPlKXLl0UHx+vnTt3KisrS3379tUXX3yR422ekjR48GCtXbtWjzzyiBISEvTDDz8oNTVVffv21caNG/Xggw+W0pEAKEuysrL0n//8R0ajUX379tWjjz6ab19PT09TyBAREVHgjOSy7sSJE5Ju/1IhP+3atTP9ku3o0aMlUld5EB8fry+//FL33HOPWrZsabFxe/XqJRcXF4WGhppecALYMkIroIzp2bOnnnjiCWVlZWnChAlasmSJrl69amrPysrStm3bNHDgQF27dk0NGzbU5MmT72j8Ro0a6bffftPYsWNzrMdw9uxZjRo1Sjdv3lTr1q1Ni1c+9thjcnBw0N69exUSEpLj7YanTp1SeHi4pP97U9ed9i9I/fr1NWzYMEnSggUL9Prrrys+Pj5Hn6tXr+rNN9/UmjVrVKVKlRy/rXriiSfUsGFDnT9/XhMmTFBSUpKp7dy5cxo7dqwMBoOaNGmi9u3bS7q9Vlb2Qu7Tp0/XsWPHTPtcunTJ9Bhi7969TaFV9vpUf68tv2Pq06ePJGnSpEk5gqs//vhDL7/8sk6cOKFq1aopKCio0PHMlX2DFBMTU+CjkOnp6Ro/frwSExNN2yIiIrRmzRrZ2dmZgta/O3bsmAwGg2rVqmXVGWMoe8LCwhQTE5MrgMr24IMP6r333tPBgwd19OhRfffdd3rjjTfyDT/vu+8+vfvuuzp48KCOHz+uPXv26I033jDNmgSAwkRFRZlexPLcc88V2r9v3776f+3da1BU5xnA8T+ChKhMiWikQmTD5awBCQGNF6IFxWijYCuMwdjQNCJpNDJGW53oDB9sUNNqYoqIrZjIVFLwilAJSoEJRRPRSck0onJRlnCvJiqIFYE9/cDsCSssF8UJmXl+M/sh+77nPefscSbMc573ef74xz+SlZWlbT2rqalBr9cTEhJCRUUFERER+Pj4MHPmTLMXb01NTezatYvQ0FB8fX3x8/MjLCyMffv2WawR+c9//pMVK1Ywe/ZsJk2axMyZM1m1ahWnT58elPmW2Nh09vWyVDvQZN++feTk5PDSSy91G7t9+zYJCQna/fr7+7N06VIOHTpkMaiiqiqZmZn8+te/ZsaMGUyaNIn58+ezfft2s5euer2ehIQEAE6dOoVerycyMhL4/nno9fpu9baMRiNHjhzhV7/6FZMnT8bHx4d58+axZcsWs793THbt2oVer+ejjz6ipqaGDRs2MHPmTCZNmsTcuXO7XVd/HDp0iPb2dkJCQnqdd/XqVVavXs3zzz+Pn58fr7zySq+7Fezt7QkMDKSurq7P5ybEUCDdA4X4Edq2bRt2dnYcOXKExMRE9u7di7OzM/b29lRXV3Pr1i2gM+iQkJAwoK0vtra27N69mxUrVnDu3DmCg4Px8PDAaDRSXl6Oqqro9Xp27typdcV56qmn2LhxI3FxcezYsYOkpCRcXFxoaWmhqqoKVVUJCgoiLCzsgeb3Zf369bS3t3PgwAHt4+zsjKOjI83NzVRVVWE0Ghk7diw7d+7UtgR2vd+oqCgKCgoICgrCw8ODtrY2DAYDHR0dODk5kZiYaHbONWvWUF5eTkFBAeHh4bi5uWFjY0NlZSVtbW14e3trNbCg848m6AzUzJ8/H71e32u3l9jYWGpraykqKiIiIgKdTsfIkSOpqKigtbUVBwcHPvzww351UHtQLi4u6HQ6DAYDX3/9tcWMlFmzZnH+/HmCg4Px9PTkxo0bWubVhg0bmD59eo/HmTLXHmW2mBBCCDEYzp49C3R2QO7agc6SJ554QnsBdb/m5maioqJoamrCw8ODq1evamsaDAZef/116urqsLa2xtPTE6PRyMWLFykpKSEzM5OPPvrIrAP03r17tS14Li4u6PV66uvrycvLIy8vj9jYWF599dUHnt+bGTNmkJ2dzV/+8hcaGhpYsmQJfn5+3bYJWnpJUFNTw/Lly6mqqsLGxgadTofRaKS4uJji4mJycnJITEw0azJz79493n77bS3z/6mnnuLJJ5/kypUr7Nu3j3/961+kpqYyatQo/P39qa+vp76+HgcHB9zc3FAUpdd7unv3Lr/97W+1Z+7q6sqoUaOoqKjgb3/7GxkZGSQmJvb4YqW8vJw9e/Zw584dXF1dGTlyJAaDgX379vHFF19w6NAhLdDXl5ycHKDz7yxLKisrefnll2lpacHT05M7d+5ojYTOnj1rsebrCy+8QE5ODidPnmTOnDn9uh4hfiiSaSXEj5CtrS1btmzh4MGDLFmyhAkTJnDt2jUuX77M8OHDCQwMZMeOHaSlpTFu3LgBr+/u7s7x48dZuXIlTz/9NAaDgfr6enx8fNi0aROHDx/mpz/9qdkxkZGRJCYm8rOf/Qxra2tKS0u5ceMGU6ZMIS4ujj179pj9T3qg83tjZWXFpk2bSE9PZ/ny5Xh5eXH37l0uXbrEzZs38fX15fe//z2ffvopzz//fLfjPTw8yMjIYOXKlbi5uWEwGPjmm2+YMGECy5cvJz09nfHjx3d7Bnv27CEuLg4/Pz8aGxuprKzE1dWVNWvWkJqaalZ8PCAggHXr1uHk5ERtbS0lJSW9bn8cMWIEH3/8MX/4wx/w9/fn+vXrXLlyBWdnZ6Kjo8nMzNQyvx6l0NBQAM6cOWNxjre3N6mpqUybNg2DwUBTUxMBAQHs37+fqKgoi8eZ1uzrDaIQQgjxQ7t69SpAnwGP/mhoaMDOzo7c3FzS09MpKChg+vTptLW18eabb1JXV8fUqVPJz88nIyODf/zjH2RnZ6PX6yktLeXtt9/W1rp58ybx8fE89thjpKSkkJeXx9GjRyksLNQy7d9//30tY3qg8/uybt06HBwcUFWV9PR0li1bxvTp01m5ciXJycm91rDq6OggJiaGqqoq5syZQ0FBAVlZWWRnZ5OVlYW7uzuFhYVs377d7Li//vWv5OXl4ejoyCeffEJubi4ZGRmcOnUKRVEoKyvjvffeAzpLFYSHhwMwbdo0UlNTiY2N7fWeNm/ezNmzZxk3bhwHDx4kJyeHY8eOcfr0aRYuXMitW7dYvXq1WXa+SXp6Ou7u7pw8eZLs7GxOnTpFQkICVlZWlJSUdGsKYsm1a9e4cuUKI0aM0F589qSsrIwnnniCEydOkJmZSW5uLvHx8dja2nL06FGysrJ6PM7f3x/oLPEgxJCnCiGEEBZcu3ZN9fHxUQMDA9WOjo5BW7e+vl6dOHGiumDBAtVoNA7aukIIIcSj8Jvf/EZVFEVdu3btA69RXV2tKoqiKoqipqWldRtPT09XFUVRAwIC1Kampm7j9fX16nPPPacqiqJ+9tlnqqqqanFxsaooirpo0aIez/nWW2+p77zzjlpXV/dA8/ujsrJSXbZsmXZv938WLFigZmVldTvu008/VRVFUefNm6fevXu323hpaak6ceJE1dvbW71+/bqqqqra2tqq+vn5mf0GXf3nP/9RFUVR/f391dbWVlVVVTU+Pl5VFEWNiYkxm9v1edy+fVv7buLEiaqiKOpXX33Vbf329nZ18eLFqqIo6p/+9Cfte9M5vLy81IaGhm7Hvfbaa6qiKOrWrVt7+yk1WVlZqqIoalhYWI/jpvPp9Xr18uXL3cZ3796tKoqiLl68uMfjW1tbVS8vL1VRFPWbb77p1zUJ8UORTCshhBAWjRkzhvDwcOrr6/n8888Hbd309HStXfhQ7dgjhBBCmNjZ2QGY1eF8GM8991y370z1hUJDQ7G3t+827uTkxIsvvgjAZ599BoCzszPW1tZcvnyZHTt2UF1dbXZMQkIC27Zt0zLkBzq/P3Q6HZ988gnHjh3jzTffZNKkSWbbAysqKli7di0bNmwwa0iTn58PwIsvvshjjz3WbV1FUVAUhba2Nm2r3vnz52lpaWHs2LE91j718fHRste6binsr8LCQoxGI97e3vj6+nYbt7a2ZtmyZcD3z6ArvV7f4y4HU83F27dv9+s6ampqgL67RE+ePLnHTCxTdllJSQnffvttt3FbW1vtGZvOJcRQJTWthBBC9Co6Oppjx46RnJw8KPWnWltbSUtLw9XVVbYGCiGE+FEw1ZAydb0drPW6MhgMADzzzDMWj/Py8iIjI0ObO3bsWCIjI0lOTiYpKYmkpCR0Oh0zZ84kMDCQGTNmMHz4cLPzDmT+QHh7e+Pt7c3atWtpbm6mqKiI/Px8Tpw4QWtrKxkZGfj6+mrNbK5cuQJ0dnf+8ssve1zT1BCosrISQCuG7+npafGll5eX1wNdP/TvGXh7e5vN7erJJ5/s8RhT0LM/nbHh+39nPQUvu7J0nePGjcPe3p7m5mYqKytxdHTsNsdU83aw/k0L8ahIppUQQohejR8/npiYGAoLCzl37txDr5eSkkJjYyPvvvtuv+uWCSGEED8kUyFxU6ClP0pLS2lra+txrKfMIlMHO1PH4Z6Yxrp2u9u4cSPbt2/Hz88PKysrDAYDKSkpREdHM2vWLA4dOmS2xkDnPwh7e3vmzp3L1q1byc7Oxs3NDcBsbVPWUXV1tVY8/P7PzZs3AbTOe6b/NnVkHGz9eQamc7e3t9Pa2mo21ld2V9dMs940NTUB3we7+rqW3sYsdZx8/PHHzc4lxFAlQSshhBB9ev3113n22Wf54IMPHmqd5uZm9u7dS0REBNOmTRukqxNCCCEercDAQAC+/fZbSktL+5zf0tJCeHg4U6dOpbCwsF/nMAUZettCZgre3B+sWLRoEWlpaZw5c4YPPviA8PBwRo8ezY0bN4iNjSU3N/eh5vdk//79zJ8/32KHOhNnZ2d+97vfAVBVVaV9bwqaxMfHU1pa2uvH1JHZdEx/C8UP1ECegY2NTY/Bx8FgWrev7YR37tyxOGYKwHVtDNSV6T4e1T0IMVgkaCWEEKJP1tbWHD58mLS0tIdax97enqKiIjZv3jxIVyaEEEI8eu7u7nh4eACQnJzc5/z09HTa2tpob2/XtpP1xVT36NKlSxbnlJSUADBhwgSgM3hz8eJFLQPM0dGRhQsXsnXrVgoKCggICAAgMzPzgeb3RlVVDAYD+fn5fW57M21Pc3Bw0L5zdXUFes9eKy4upqysTMsWMmW89daVcOXKlaxatarXOZYM5Bn0VW/qYYwePRroe+teT1sUoTN77fbt2wwbNkzLcrufKWutp62DQgwlErQSQgghhBBCiD689dZbABw/fpy8vDyL86qrq9m1axcAL7/8shaA6Ispm+vEiRNaFkxXDQ0N2nlNNSYPHDjA4sWLe8x2srW1ZfLkycD3tZQGOr838+bNw8bGhurqalJSUnqde/LkSQBeeOEF7bugoCCg8/e8f5sddP6Or776KqGhoRQXFwOdhccff/xxGhsb+eKLL7odc/XqVfLz8ykoKNB+d1Ptq/5szZs1axbDhg3j4sWLfPXVV93GOzo6tBd4g1Hn0xJToOm///1vr/OKioqor6/v9n1qaioAU6ZM0WpXdXXv3j0tIGYK1AkxVEnQSgghhBBCCCH6sGDBAkJCQjAajcTExPDnP/+Z7777Ths3Go3k5OTwyiuvcPPmTXQ6HWvXrh3Q+k8//TTXr19n1apVWhFy6CxE/sYbb/C///0PPz8/goODAXjppZewtrbm9OnTJCUlmXU3LCsr4+DBgwBap72Bzu+Ni4sLr732GgDbtm0jLi6Ouro6sznfffcd27dvJzk5GXt7e9544w1tLCQkBJ1OR1VVFTExMVy7dk0bMxgMrFq1ivb2dp555hlmzJgBdGZsmwq5v/POO1y4cEE7pqamRtuGuGjRIi1oZapPdf+1WbqnX/7ylwCsWbPGLHDV1NTE+vXruXjxIj/5yU9YsWJFn+s9qGeffRborIvW21bIe/fusXr1ahobG7XvDh8+THJyMlZWVlqg9X4XLlygvb2dMWPGPNKMMSEGg1TAFUIIIYQQQoh+2LZtG3Z2dhw5coTExET27t2Ls7Mz9vb2VFdXc+vWLaAz6JCQkNBjlosltra27N69mxUrVnDu3DmCg4Px8PDAaDRSXl6Oqqro9Xp27tyJtbU10LlFbePGjcTFxbFjxw6SkpJwcXGhpaWFqqoqVFUlKCiIsLCwB5rfl/Xr19Pe3s6BAwe0j7OzM46OjjQ3N1NVVYXRaGTs2LHs3LlT2xLY9X6joqIoKCggKCgIDw8P2traMBgMdHR04OTkRGJiotk516xZQ3l5OQUFBYSHh+Pm5oaNjQ2VlZW0tbXh7e2t1cAC0Ov1QGegZv78+ej1euLj4y3eU2xsLLW1tRQVFREREYFOp2PkyJFUVFTQ2tqKg4MDH374IU5OTv17sA/AxcUFnU6HwWDg66+/ZurUqT3OmzVrFufPnyc4OBhPT09u3LihZV5t2LCB6dOn93icKXPtUWaLCTFYJGglhBBCCCGEEP1ga2vLli1bWLJkCUeOHOHLL7+koaGB2tpaHBwcCAwMJDQ0lAULFmiBpYFwd3fn+PHj7N+/n9zcXAwGA8OHD8fHx4eQkBCWLl3arXB2ZGQk48ePJy0tjQsXLlBaWsrIkSOZMmUKv/jFLwgPD2fYsGEPPL83VlZWbNq0ibCwMDIyMjh79iyNjY1cunSJUaNG4evrS3BwMBERET0WBPfw8CAjI4Pk5GTy8vK0YNWECROYPXs20dHR3bZX2trasmfPHo4dO8bRo0cpKyvj3r17uLq6snDhQqKiosx+o4CAANatW8ff//53amtraW9v73X744gRI/j44485evQox48fp6ysjIaGBpydnQkODiYyMpJx48b16/d5GKGhoezatYszZ85YDFp5e3uzbt063n//ff79739jZWVFQEAA0dHRWn2ynpw5cwbozHYTYqizUvvbd1MIIYQQQgghhBCP3PXr15kzZw6jR48mPz+/34HEvjQ0NDB79mzc3Nw4ceKEVvNLiKFKaloJIYQQQgghhBBDyJgxYwgPD6e+vp7PP/980NZNT0/HaDQSHR0tASvxoyBBKyGEEEIIIYQQYoiJjo7Gzs6O5OTkQVmvtbWVtLQ0XF1dZWug+NGQoJUQQgghhBBCCDHEjB8/npiYGAoLCzl37txDr5eSkkJjYyPvvvsuNjZS3lr8OEhNKyGEEEIIIYQQYgjq6Ohg6dKlWFtbk5aW9sDrNDc3M3fuXH7+85+zefPmQbxCIR4tCVoJIYQQQgghhBBCiCFHtgcKIYQQQgghhBBCiCFHglZCCCGEEEIIIYQQYsiRoJUQQgghhBBCCCGEGHIkaCWEEEIIIYQQQgghhhwJWgkhhBBCCCGEEEKIIUeCVkIIIYQQQgghhBBiyPk/SwlE35sSMLkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,8))\n",
    "ax1.hist(df.Data, bins=50)\n",
    "ax2.hist(df[[\"Data\"]], bins = 10 ** np.linspace(np.log10(df.Energy.min()), np.log10(df.Energy.max()), 50))\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_xlabel('Cross Section (b)')\n",
    "# ax2.set_ylabel('Frequency')\n",
    "# ax1.get_yaxis().set_label_coords(-0.08,0.5)\n",
    "ax1.set_ylabel('Frequency')\n",
    "ax1.set_xlabel('Cross Section (b)')\n",
    "# ax2.get_yaxis().set_label_coords(-0.08,0.5)\n",
    "plt.savefig(os.path.join(figure_dir, \"xs_distribution_h.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outliers in Energy and Data (Cross Section)\n",
    "\n",
    "It is difficult to detect outliers in this particular dataset. The following image shows the U-235(N,G) reaction channel. This is an example of a single reaction for a single isotope. Typical statistics techniques for outlier detection will categorize resonances (peaks) points as outliers, however, these are not. These are the most important quantum physics phenomena that we need to model and can therefore not be disregarded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T18:07:37.307241Z",
     "start_time": "2021-02-07T18:07:37.062241Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Extracting samples from dataframe.\n",
      "INFO:root:EXFOR extracted DataFrame has shape: (10872, 104)\n"
     ]
    }
   ],
   "source": [
    "u235_ng = exfor_utils.load_samples(df, 92, 235, 102)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(8, 6)) \n",
    "gs = gridspec.GridSpec(1, 2, width_ratios=[3, 1]) \n",
    "ax0 = plt.subplot(gs[0])\n",
    "ax0.plot(x, y)\n",
    "ax1 = plt.subplot(gs[1])\n",
    "ax1.plot(y, x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T18:56:00.209109Z",
     "start_time": "2021-02-07T18:55:57.638611Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABLoAAAIPCAYAAAB0T7ecAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAADODElEQVR4nOzdd3hT5dsH8G9G9x5QyuwCypY9ZAs4EcWBiAMEcTFUROXn4BUHojLEBYLiAsWBIA723nvPAi2rg066R5L3jzZpdnKSk9V8P9flZXPOk3PujBOau/dzPxKVSqUCERERERERERGRh5O6OgAiIiIiIiIiIiIxMNFFRERERERERER1AhNdRERERERERERUJzDRRUREREREREREdQITXUREREREREREVCcw0UVERERERERERHUCE11GZGZm4uWXX0b37t3RsWNHjB8/HufPn3d1WEROxeuAiIiIiIiIPA0TXXpUKhWefvppZGRk4JtvvsHvv/8Of39/jB49GsXFxa4Oj8gpeB0QERERERGRJ2KiS092djYSExPx/vvvo23btkhMTMTzzz+P7OxsnDt3ztXhETkFrwMiIiIiIiLyRBKVSqVydRDuLDs7G7NmzcKePXuwZs0aBAUFuTokIqfjdUBERERERESeQO7qANzZ66+/jj///BO+vr746quv+OWevBKvAyIiIiIiIvIUrOgy4/z58ygrK8OyZcvw77//YunSpWjbtq2rwyJyKl4HRERERERE5CmY6LKCUqnEPffcg3bt2mHWrFmuDofIJXgdEBERERERkbtjM3o9WVlZWL16NbTzf1KpFElJScjMzHRhZETOw+uAiIiIiIiIPBETXXrS09Pxyiuv4ODBg5ptlZWVOHXqFBITE10YGZHz8DogIiIiIiIiT8Spi3qUSiVGjx6N7OxszJgxA6GhoViwYAG2bduGP//8E02aNHF1iEQOx+uAiIiIiIiIPFGdSXStWLEC06ZNw9KlS9GlSxejY3bt2oUFCxbg7NmzqKysRJs2bTB+/Hj06dNHZ1xBQQE++eQTbN68GYWFhejSpQteffVVtGzZ0up4ysrKcOLECdSrVw8ymcyux0bWUSgUuHHjBtq2bQt/f39Xh+MSvA6IiIiIiIioLrP03b9OJLoOHz6Mp556CiUlJSa/4KsTAL6+vujRoweUSiX27t2LyspKzJgxAyNGjBA1pgMHDmDUqFGiHpOsYy7JU5fxOiAiIiIiIiJvYep7r9wFsYhq3bp1eP3111FSUmJyTFZWFqZPn46QkBAsW7YMLVq0AAAcO3YMY8aMwfvvv4/+/fsjJiZGtLjq1asHoPqJb9CggWjHJdMyMjIwatQozXPvTXgdEBERERERkTew9N3fYxNdGRkZmDNnDlatWoWAgABER0cjOzvb6NiffvoJFRUVeOaZZzRf7gGgffv2GDduHObNm4fly5dj0qRJosWnnqbVoEEDNG7cWLTjkmXeNEWO1wERERERERF5I1Pf/T121cV58+Zh1apVaNu2LZYvX46EhASTY7dv3w4AGDRokMG+wYMHAwC2bdvmmECJHIjXAREREREREVEtj63oSkhIwKxZs3DvvfdCKjWdr1OpVEhJSYFUKjWaBIiLi4NUKkVKSgpUKhUkEokjwyYSFa8DIiIiIiIioloem+gaP368VeMKCgpQUVGByMhI+Pr6GuyXy+WIiIhATk4OiouLERwcLHaoRA7D64CIiIiIiIiolsdOXbRWaWkpACAgIMDkGPVylMXFxU6JicjZeB0QERERERGRN6jziS5z07nUVCqVEyIhch1eB0REREREROQN6nyiKzAwEABQXl5ucox6n7lqFyJPxuuAiIiIiIiIvEGdT3QFBwcjMDAQeXl5qKqqMthfVVWFvLw8+Pn5ITQ01AUREjkerwMiIiIiIiLyBnU+0SWRSJCUlASFQoHU1FSD/ZcuXYJSqUSLFi2cHxyRk/A6ICIiIiIiIm9Q5xNdANCnTx8AwIYNGwz2qbf169fPqTERORuvAyIiIiIiIqrrvCLRNXz4cPj5+WHRokU4ceKEZvvx48exePFi+Pv749FHH3VhhESOx+uAiIiIiIiI6jq5qwNwhsaNG+O1117DjBkz8Mgjj6BHjx5QqVTYu3cvqqqqMGvWLERFRbk6TCKH4nVAREREREREdZ1XJLoAYNSoUWjYsCEWL16MgwcPwtfXF506dcJzzz2Hnj17ujo8IqfgdUBERERERER1WZ1JdP34448WxwwYMAADBgxwQjRErsHrgIiIiIiIiLyZV/ToIutdvHgRI0aMwKVLl1wdChERERERERGRIEx0kY6ZM2eipKQEH3zwgatDISIiIiIiIiIShIku0rh48SIyMjIAABkZGazqIiIiIiIiIiKPwkQXacycOVPnNqu6iIjIWwydsgpDp6xydRhEREREZCcmukhDXc1l6jYRERERERERkTtjoouIiIi80j87LmLolFUoKat0dShEREREJBImuoiIiMgrrd5xEQCQe7PMxZEQERERkViY6CIiIiK3cyWzEFsOXnHoOa7dKAYApKUXOvQ8REREROQ8THQRERGR23n+o02YvewQVCqVw8919PwN0Y6VU1CKpWvOOCVuIiIiIjLERBcRERG5rWPnsx1+DolEvGPN+/kwfll/Fmcv54l3UCIiIiKyGhNdRERE5LbKKxUOP4eYxVcFxeUAgKoqpXgHJSIiIiKrMdFFREREXk3MSYaXrt8EANwsrhDxqERERERkLSa6iIiIyG15aq+rCidUohERERGRISa6iIiIyG1JpSI20DLBEck0pYcm6IiIiIg8HRNdRERE5LYkYnaKN8EROSmFgokuIiIiIldgoouIiIjclhPyXA7hqXETEREReTomuoiIiMhtSZ2QMbpZs1IiEREREXk+JrqIiIjIbclljv9V5ej5G6IfMyjAR/RjEhEREZFlTHQRERGR21IqHd/rqrRc/BUSgwN8RT8mEREREVnGRBcRERG5LYWHrl6orhIrK69CWXmVi6MhIiIi8h5MdBEREZHbckZFlyNsPXwVAPDQ//7BQ//7x8XREBEREXkPJrqIiIjIbXlqostDwyYiIiLyeEx0ERERkdtSeGjGSOWhUy6JiIiIPB0TXUREROS2lB6aMPLUSjQiIiIiT8dEFxEREbktZyeMKqvEWYGRFV1ERERErsFEFxEREbkdP18ZAGGJrpSr+XjgtdXIvVlm83mrFOIkqFjQRUREROQaTHQRERGR2/GVV/+KIqRH1+JVJ1BRpcR3f5+0+bxiVWKxoouIiIjINZjoIiIiIjckASCsouvUpRwAwOaDVx0SkRDs0UVERETkGkx0ERERkduRVOe5BDWjF6OISqxCLFN5ropKBdbtTWPFFxEREZGDyF0dABEREXkfhVIFmVRicr8m0eXkyiixzmYqkfXTmjP4c0sKQgJ90LNdQ5HORkRERERqrOgiIiIipzp1KQf3Tf0Lxy9kmxwjqcl0CenRJQoH9+jKL6xulF9SViXKeYiIiIhIFxNdRERE5BRzfz6Eo+dv4HhKdYJrw77LJseqa708raIrLjYUAPDo7a2M7i8tr05wFZZUCj720fM3MHTKKtwsrrA9QCIiIqI6jokuIiIicjiVSoVNB67gzQW7UFRaneTZdOCKyfG29Oi6tX31VMA7esbZEafNdwUA+PvKAADhwb5G9+85kQEA+HXDOcHH/mPTeQDAis3nbYyOiIiIqO5joouIiIgcTrsyK7+w3Kb7WbLz2HUAwJXMQqvGt0+KNtgmVpN4S0eRmG5PZtEfm1Nw8mKO7QcgIiIiqsOY6CIiIiKH0+61teXQVYvj1T26bJm6aO19HLnwoaVj25Lo0q5uyy+yPllIRERE5E2Y6CIiIiKHE9pUXp0HsqUZfZVCadU4Y9MixUt+mT+QLQm8o+drm/fbURBGREREVKcx0UVEREQOJzixo67osiHzJJNalwYyFpPKznb06ko0S2Hb22P/1KVc+w7gQCcv5qCsnKtKEhERkWsw0UVEREQOJ7QyKzu/FIBtlU9n0vKsGmesH5dYFV2WjmNvL7AL1/Ltur+jZOeX4vUvdmDe8sOuDoWIiIi8FBNdRERE5HC2JKzsuZ81KioNpziK1Yze0tTFkjL7Kp5OXMhBTkGpXcdwhNKaSq7U6wUujoSIiIi8FRNdRERE5HAKpXV9s/TZMnXRWhcdkIy5nl0EwDGN7tsl6q4SmXIlX/yT2EndZN+Rjf6JiIiIzGGii4iIiBxOyNRF7aoqhcLxGZPYqCDNz3KZfb8aFRRVALBUzwU0iQkWfOzjF7J1bktsWbrRwTQ9ylwcBxEREXkvJrqIiIjI4YRU+GiPdWRFl1pMZKDRc9vD0nESG4fbfxL3y3PVhsRMFxEREbkIE11ERETkcEJ6bWmPdGSPLs05tLJS9q66WMv8cXYevS74iHKZbmbLDfNcmqDEex6JiIiIhGGii4iIiBxu1zHrEzvaUxedkejSrr66cNVy3651e9OQnl1s9TGNqawS3rOsSm8ap6mpizkFpYJXuRSLVD11kXkuIiIichEmuowoKirCBx98gIEDB6Jjx44YPnw4Nm7c6OqwiJyK1wERiam4rNLo9rJyw9UHdXp02ZAxiQ7zFzReu6LrRl6JxfGf/XoEL8/banaMM/I8UiOJrpyCUoyesQ7L1p5xQgSmMc9FRERErsJElxHTpk3Dli1b8N5772HlypUYMmQIJkyYgN27d7s6NCKn4XVARGLSr0bSbDdSeaTTo8uGyqSERuGC7yP0fEWlxhN3Gs4oaTJS0JVTUAYAOHQ2y/HnNyMrtwRDp6zCzeIKl8ZBRERE3oeJLj03btzAunXr8L///Q+9evVCs2bN8Oyzz6Jbt274/fffXR0ekVPwOiAisSmUxqfqKRSG25V2Tl0U2h/q5MUcrXMLPp1Rzpg5aGziovr5krloRUb9KrOrWYUuiYOIiIi8l9zVAbibgIAALFq0CJ06ddLZLpFIUFBguW8HUV3A64CIxJZ/s9zo9iojiS7tYihbek3ZU0wl2iqPIlZ0KZQqrNmdarBdO6e0YnMKjl/IxkO3Na8+vasmD7plh3wiIiLyJqzo0hMcHIy+ffsiODhYs+3IkSPYs2cP+vfv77rAiJyI1wERia2g2Hii68f/Thts02lGb0PCqLxCIfg+mvOJVIolZppp++GrWLDimMF2iVZWacnfJ3HgdCbKyqsf+7nL+VYff++JdCxdI05PLwn0V4Zk5ouIiIici4kuCy5cuIAJEyagQ4cOGDFihKvDIXIJXgdEZK+osACj2zfuv2KwTadHl4neXuYcv5At+D6a84mV6LJwmFvbN7T6WKUmEncSI7/FlZRb6B2m50pmId5bsg+/rD8r6H6m6FeSuWgGJREREXkxJrrM2L9/Px599FHUq1cPCxcuhI+Pj6tDInI6XgdEJAYhCSTtii6V1rZNB66gssp4ry+xWKogs/Zx6Cd89Kdg+sjt/xXMWLWUSuDT8/xHm+yOg4iIiMidMNFlwl9//YUxY8agTZs2+PHHHxEeHu7qkIicjtcBEYlFSK8t7ZHqpNeuY+mY+/MhLPn7pMiR6bIUp6mm+gb0DnP9RpHObUdVOonWY8xWeqd3dThERETkfZjoMmL16tV49dVXceedd2LhwoU6fYqIvAWvAyISk5CKLu2x6p8uXq9eCGP19otihmVAZSHO/MIK645jYb9ESKbLRLbIWMN5V08V1I/o4NlMl8RBRERE3ourLurJyMjAW2+9he7du2Pq1KnIz8/X7PPx8WFFC3kFXgdEJDYhlUbGhlZU2t5gXgiFhTjLKqqsOo6lh1sv3HjPMqPHMrF917F0tE+qp7OtYXT1HyWCA9xjmnmVg6eaEhEREemrMxVdK1asQMuWLXHgwAGTY3bt2oUnnngC3bt3R6dOnfD4449j+/btOmPWrVuH0tJS7NmzB3369EHv3r01/z333HOOfhhEduF1QETuSlCPLu3UTs2Pgiqg7GApTut7axk/zh094wAAEaH+AqIybufR6yb3xUQF2n18W6j0MnxSqe7rtunAFew5ke7MkIiIiMjL1ImKrsOHD+Pdd981O2bFihWYNm0afH190aNHDyiVSuzduxfjxo3DjBkzNCvJPfHEE3jiiSecETaRqHgd2C73Zhl85VIEB/q6OhSiOqtRPeunPxurhmrZLELEaEyzlOiytjBNpdJrql/zsy35OlN3cXk/LivoJyjn/nwIALB69jBXhENERERewOMTXevWrcPrr7+OkpISk2OysrIwffp0hISEYNmyZWjRogUA4NixYxgzZgzef/999O/fHzExMc4Km0hUvA7s8+Q7awHwixeRIyU1Drd6rO6qi9U/+/vKxA7JKEuFZ8b6Yhkdp7J8LHvpV0+5A/2QwoP9XBMIEREReS2PnbqYkZGBV199FRMnToRSqUR0dLTJsT/99BMqKiowevRozZd7AGjfvj3GjRuH8vJyLF++3BlhE4mK14G4MnNNJwqJyD629uhS/yypqWtqkxAlZlgGLE6xtPJhpOcU6zwQR6SkhEwHdZWmDUJcHQIRERF5GY9NdM2bNw+rVq1C27ZtsXz5ciQkJJgcq+4/NGjQIIN9gwcPBgBs27bNMYESORCvA3FN/GQT1uxOdcsqCSJPJ+S60k6KnbucZ7DNkSydx9oo1uxO1R1rT/gm5jsKfU6y80sxdMoqbDt81Y5gzLO24o2IiIjIUTw20ZWQkIBZs2bht99+Q8uWLU2OU6lUSElJgVQqNZoEiIuLg1QqRUpKCr/cksfhdSCeyFB/tGgagS9+P4rpX+/GjbxSV4dEVKcIKj7SGptTUFZ9/5oDKBTireIXFxtqsM1yjy4hlWn2V3QVFJWjsLjC6D5joZpLNKWm3wQAbDxwxcZorOCd/4QQERGRG/HYHl3jx4+3alxBQQEqKioQGRkJX1/DRtNyuRwRERHIyclBcXExgoOtb5ZL5Gq8DsSh7s2lUqnw3+5ULFl9EhM+2YSnh7XDbV2bOG21N6K6zNaKLjVFTVbnTFqeaDFJjVzbYk4H1J2CqTK904zHpq8xue+JO1uZPafhvpqG+Fad2X3lF5YjJNAHMpnH/r2WiIiIHKjO/4ZQWlpdlREQEGByjL9/9RLfxcXFTomJyNl4HVhHIpHgrl7x+OyVAUhoFIZPlx/Gu9/uRU4Bq7uI7CUk0aWu4tKWkSPss8nW6lSLUxcFHFZ7qDqB9t+u1JrzCAzMiPAQYY3e1ae0Nnl/8mKO4OfR0QVdFZUKPP5/a/Dekn0OPhMRERF5qjqf6JJKLT9Eb52qRd6D14EwDaKC8P6zt+Lp+9ri6PlsTPh4M7YcvMLniMgOQhI76mSQtm9XnxT9fMam+Z26lCvoPGaPrxWEQUGXCCkhYx9JZj+nanYdOJ2J2csOmj32N3+dwOtf7MDHP5kfJ+j8IkivSXgeOJ3p0PMQERGR56rzia7AwEAAQHl5uckx6n3mql2IPBmvA+GkUgnu7ZOI+VP6o0lMCGYvO4SZ3+9HXqFhpQmRN6pSKDHtyx04dSnHqvFXMgutPrYYSSBrpiAay8lYilNQjy6dnw0yXXYzdghzh9WOfctB8w3p1+5JAwBsP3LNhsgcR6HgHxyIiIjIvDqf6AoODkZgYCDy8vJQVVVlsL+qqgp5eXnw8/NDaKhhU1qiuoDXge0a1QvGzBd6Y8w9bXDgdCZe+Giz233xI3KFjJxinLiQg09/OWzV+JVbL1h9bO1cUuP6tvUMrKxS2HQ/SwT11FeZrugSpRWY0ZIuEY5rx4FY+EpERESuVucTXRKJBElJSVAoFEhNTTXYf+nSJSiVSrRo0cL5wRE5Ca8D+8ikEgwfkIRPX+6PBlGB+OjHA5j1w34UFJmukCOq68RcpKFKbyVF7QTR1awim44pYk95XUJ6dGmNNez95ZgAi8sqTccj4DgOe/7sxCnkREREZEmdT3QBQJ8+fQAAGzZsMNin3tavXz+nxkTkbLwO7NckJgQfT+yDx+9shT0n0jHh483YfTzd1WEReby9JzN0bouRylj632nsPn7d7BhHJ010pi4q9fY5aOqienVKY2lIQdMuzQw9k5aLsgrD6mCh57AF01xERERkiVckuoYPHw4/Pz8sWrQIJ06c0Gw/fvw4Fi9eDH9/fzz66KMujJDI8XgdiEMmk+LhQS0w96X+iAzzxwff7cPsZQdRVFLh6tCIDBw4nQmFXrWUWNbV9HC6WWz/e/+0XgN4MZIlf++8hA++2292TFqG9X3D1ARFpvU49Cu6xHiMRmcuilSKZSq+3JtlmDp/u9VTVomIiIiczSsSXY0bN8Zrr72GoqIiPPLIIxg3bhzGjh2LkSNHori4GDNmzEBUVJSrwyRyKF4H4oqLDcXsyX3x6JCW2H74Gl74eBP2n8qwfEciJzl0NgvvLN6DX9afc8jx1+5JBQAUlZqeKmcrd52dduRcFtKzi03u15+CqZ1zyszVvZ84j9HwIOothSWVBo31LZ1z6JRVmoowU2PLyqsruS5cK7AyIiIiIiLnkrs6AGcZNWoUGjZsiMWLF+PgwYPw9fVFp06d8Nxzz6Fnz56uDo/IKXgdiEsuk2Lk7cno2qYBPv3lMGZ8sxeDujbFuGFtERTg4+rwyMvlF1b3kMvINZ2YsYuIPbr0D3X0/A2bjuMrl6KiyjEVbADw1sLdZveXV+g2wNeuirp0/SYuaiWHHNWLXr3aZGZuCZ7/aBNWzx4m6JxVCiVkUpmgCA+dyYKfrwxtEqJEeWAnLmTD10eGFk0j7D8YEREReZ06k+j68ccfLY4ZMGAABgwY4IRoiFyD14FrJDUOx5wX++KX9efw+6bzOHIuCxNHdESnlvVdHRoRth2+himPdhb9uFKBea77+yfhzy0pRvfpJ2xKyoz3f7LEnRqoJzUO07mtVKpw9nKe5rajelmZPayAU/Zs1xDbj1xDxxb1LI6dvqg6AaidVLNkxeYUDB+QpLl96EwWpi/ajZ/fvRPTvtxp8nj2pFfPX8lDfMMwyGVeMaGBiIjIa/FfeiIiEfjIZXj8zlb4eGIfBPjLMf3r3fji96MoMbMCGpEzKJUqlFcqLA8USOiqi+YSY4YrEpoWGepvZq9rM13aZ2+TEK3zuJRKlc5zIEozejMVXcbjs/6kiY2qE3VxDcMsjNQ/h3WW/H1S5/avG6un2F66flPQ+ayVln4TL8/bhh/+Pe2Q4xMREZH7YKKLiEhELZpGYN5L/TG8fxLW7knFxNlbcCzFtmlYRO5MaBN6c4kd/eRMy2amp6yZS5ipVECAnwuL1bUe5KptF3SyPkqVClKt5KCQpJOZE1o9csXm85j1wwHLR9R7ofSfbktntLVSTf3UiPO8GMorLAMAXLia75DjExERkftgoouISGS+PjKMGdoGs17oA7lUgje+2oWFK45pmjgTqSmVKvy946KDKq5qfxY6zdARzM6o00uOnE3LMzESkJp5MAqlCuUV7nOdaT+q6PAAnQovR1V0yeXGn5+/d16y7Rwmtov9lioprX7dLD0vQisJdx9PR+7NMs1xpSL2liMiIiL3xEQXEZGDtIqPxKdT+uPevgn4Z9clTJq9BScv5rg6LHIjO45ew8I/j2PZmjOiH/vajSLRj6mteZNwAED3Ng2sGm9vT6r+nRsDAIIDfI3uVz9ed+rTpf2YfeQynWb1p1Nz7T++kW2mHr+16Z2cgurKJ2fngy5er27Uf1VvpUh7VFYp8cF3+/DGVztrE2jMcxEREdV5THQRETmQv68cTw9rhw+euxUqqDDtyx1YvOqEQyp4yPOcuFCd+Px75yWs25sm6rGXrz+n+dkRfc/PX8kHAOw9mSH+wY2IDKnuzWVqalupjQ3srZFTUAqFQvhqjrrPu27kh85k4Xq2+MlIkwlFKzNXRSW6U1KFJijtfa+J+dmoUFa/Zlm5JZpnn3kuIiKiuo+JLiIiJ2ibGI35Uwbgzp5xWLXtAibP3owzafZXdJBn+293KgCgolKBz3494tJYHM1cAsSa6WjqaX+mjuOo3k4FReUYPWMdPvvtiMWx+hGc01plUak0jP2ZmRvtik1IM/qs3BKBR7ctJSTmapJ5hWV47fPtyLtZZtPx1UMlUkntz5y6SEREVOcx0UVE5CQBfnI890AHvPdML1RUKfHaZ9vx3d8nUcHqLnIwd5jNt/3IVZvvW1ll+Roxt9qgPV77fDsAYOP+KxbHXs7QnXZXPyJQ65YKMpGbpZWWG67qau/T4E6JoEUrT+DUpVz8s8vG/mI12S3tKaNu9PCIiIjIQZjoIiJysg4t6uHzVwZgULdm+GNzCl6cuxUpNdPAyHvsOnbd1SGIxpoqm9yb5TYfv6SsSlPRlZVnvDLJEdMzAeDajWKrx2onVPSpVEBMZKDJ/bbYfTzdyHkc80QcOpOF/32502JC0WCvwHC0w99+5JrBNkuHO56SjQ37LhvcT/3+cadEHhERETkGE11ERC4Q6O+DiQ/fgv97ugdKyioxZf42/LTmNCqrhPcBIs808/v9TjuXo5Iftce37/7/WLEi4F/bLgKoTnq5K3PTJx3xCvRs19DwPHa+GBE1vdD0ffTjfhy/kI3iMsMqMt0A7Dq9UerU1KGzWSguMX/+/321E58uP+yoUIiIiMgDMNFFRORCnZNj8PnUgejfqTGWrz+HKZ9uxaWa1ceIPIW7J9IcZfNB3emM2r2kAN3El0qlgo9c3F+7jBUn2ftcmUrWqSuhVBZy8Qb3F6GASgWguLQS07/ejfeW7LX6fjrVZzU/Ovq9SkRERK7HRBcRkYsFB/jgpZGd8OaYbsgvLMdLc7fil/VnUWXDKm9ERjn4u701h++cXN/s/tOXTC/O4IhG8zfySu0+xpxlh3Rubzt8zex4sXMsxo4nJJFzs7jCcKOmabvuZvVtzeqFDpoBaCz6nUevo6yiupKvzMz00LN6C3xoPxeVNZ+nB89k2R8kERERuTUmuoiI3ET3trH4fOpA9O7QCEvXnMHU+duQlnHT1WERWWRNcsXSiP2nM2y/M4CgAB/Lg7Rczy4SNN4aUr1m89oVRUqVStMnypxL1wusar5fzfB4QpJpxhbC0I+x9qbEquMb7BeY3DOWP7t2owi/bTxv8j5bDl3FgdOZ2H8602QsXPSDiIjIezDRRUTkRkKDfPHKY53x+pNdcSO/FC/O2YrfN52HgtVdHm/tnlQMnbIKh85kYeiUVU49t6Mnazl6Nph+Fc+iVcfx3d8ndbYdOXcDANA2McqxwZjh6yPTuf3Zr0c0P0eHBVi8f05BKSbN3oKv/jhm1fmMPe9CVl20JvGm5qgKrg++24dXP9uuub1s3Vmj43IKTFfgzV56EO8s3mPwfJhKwFqfSCQiIiJPxEQXEZEburV9Q3wxdSC6t2mA7/85hdc+34GrWYWuDovssGR1dWLmz60pLo5EuF3HriMjx/Tqg1alS+xIhlXoJSb+2nYRf2zWfR4XrzoOALh0zboed2ImbhavOoEth66iU0vd6ZlpGbXXbJOYEIuJpaLS6kbrZ9LyAFiulDO2OzPX+lUipUaeBP1j6g8R3OPKwvO8+3g6TqfWTjk0VXll7LSHzmbpjdEdZOr5fmvhboNtSqUKc5YdxJk001NoiYiIyDPIXR0AiWPTpk1Yv3696MedNm2aXfcfPHgwBg4cKFI0RN4lLNgPrz3RBTuOXMdXK45i8uwtePyuVhjaJxEyqYPKK8hh1JU26sojU9Kzi/Hn1hQ8c3970V5nextwz/x+P3zlUvwxa6jx41tRRmQpBomZzJM14atDKLZyVUZrn5LIUH/k6jWZ17dq2wUAwISHbtFsa5MQhZMXc7TOp7KY7CsoKgcAXMmsTpBZfloNB5ib4mdwb2M9vvSOqR6j6dFlceqiflmV1eEINv3r3Vg9e5jWufVjMX4/7ddFrai0EpsPVk+BXPbuXWKGSURERE7Gii4iIjcmkUjQp2MjfDF1IDq2rI9v/jqJ/325wyH9hcjRLH/jv5JZiFk/7sd/u1Jx8Vq+40MSoKLK9PRZa3IZlsbor1hoSmiQr1XjLLG2oqt9UrTVx9SeEhce7KezTwXLUwUP6TVKV1rIdJWUVeH7f06h0sxrY47RJv+mmtHXlGZZegym9pZVVDm9WkrI1EwiIiKqO1jRVUcMHDjQ7sqpoUMN/1I/c+ZMu45JROKICPXHG2O6YfPBq/h65XFM/GQLRt/dGnffGm/QAJvcT0FROUrLLfcFev6jTUhsHOaEiMRlVcWYhSHr913G0D4JiIkMNHt8e6vT1CSW5tTVaJcUjS2Hrlo1ds3uVM3PBkkkleVqKJlM9++PCqX5BNbyDecAAA2igqyKz4DpPJfWbYEVWib2f/PXSZ3nxxmEvFXEel8RERGR67GiizRuu+02nduDBw92USREZIxEIsHALk3wxdQBaJcYha9XHsebC3aZ7Z1E7kG/n5Q5jkhbKoR0KLeBWDmCSbO3IDvfdNNxQFizdTEIeWzalVXGptFZSqbo98yyVNGlZikhZoqxo9fGaFDSVX0ugS+2OlGWcjVf0P302fIetvb5IyIiorqFiS7SePHFF3VuT5o0yTWBEJFZUWEBmD6uByY+fAtSruZj0uzN+G93KisS3JgtySt7Xk7998KRs+b7gplTbqI5uM75LOxPS7+JI+eti8FYhaJOwsKGJ0ahVGH5+rMoKasUfF8hTabMjVQZnyioQ/+xOz5BaXh8U0+vOjJLySOTfbLs/HxKTb8p+D5KnUpAu05PREREHoSJLtIRGhoKgNVcRO5OIpFgSPdm+HzqALRsGokvfz+Kt7/ejRt55qthyP2lXLVu1UBzqhR6FT42ZNqqFEqUVyrwW830OLMsZBEmfLLZ6vMa6zelfXhbcj97jqfjpzVn8G3NypeAY6p9YiIMp12qWVPRldioetpqgJ8MAKBQ2B+jSqXSNLk3FpO1apvRm6j4ApCdX2rYzF7v/zYzEay551T3NbY2Ak4FJyIi8nRMdJGOpk2bom3btqzmIvIQ9SMCMeOZnnj+gfY4k5qLCZ9swvq9aazucjPWNj4X8Yw6t2xZvfGluVvx4Ot/o6Tc8iqGYuaMJs3eYrDt4NlMzc9C39sVlQpNVVp5RW112tEU6yrM/HxkVp9LLq/9tUpItZSaT839WzaNBGAkYWkDlcr01FljNWaWnt+Pfzpocp+x1QzFYtWCB3qxs6KLiIjIOzHRRUTk4SQSCe7sFY/PXhmAhEZhmP/rEcz4Zi9yCljd5cmmfLoNmw5cgVKpwvYj1yxWIFVUKpBbs3Kh/hS96PAAwedXTxWzJrFkbExOQSm2HLwi+LzG/PTfmdpzCbxv9WqR6qUEhZ9byPkOnNZOyOkdR6Wy+Fzq7xUl0QUzr6EVzehrN1Q/eaVmEp/V57J8DluYfAha2/Vj075mzD31D077Gy/P22pPeERERORGmOgiIqojGkQF4f1nb8XT97XFsZRsvPDxZmw+eIXVXR5s3d40rN2bho9+PIA1e1LNjn3v27148p21AIDHpq/R2WfXe8CaBRWNjHlr4S7MXnbIxr5YZs4lsHzs6Pkbmvi0m73vPp5u8b4b919GZm6JoPOp6fc2U8GKyje9WYHGpnEKplJh5dYLZk9nbKN+FaKtVYmWO5NZR2nFe3jb4Wu697Fy6mJ5hQJZNdO+nV99SURERGJjoouIqA6RSiW4t08iPpvSH01jQjBn2SF88N0+5BWWuTo0slF+TZWWpf5rh8+Znor35xbjiQ5rWJNgMFZ5lFNQHbfYeVah0yQlqE30FZfWJt2uZhWZP49ShXm/HMbSNWfMjissqTC6/Yj+62G03Mm41OvV1XTWVnSZO6y5MxqrErSrIEulMkjIqmO7YG/vOSuK0mQyvVUrtZ6YfacyQURERN6BiS4iojqoYb1gzHyhN54a2gYHz2ThhY82Y/uRa5bvSG5n2bqzAIDfN5032LdubxqGTlllMtmitvPYdZvPfzmz0OKYv7ZftPn4wgnPnN0srk5w7T2ZIXYwyMyxruJLBZXVSbr8mubx4jSjFzbe1BRZawqdVHBcny5rEq7aveiOX8jWSWZeuJrviLCIiIjIDTHRRURUR8mkEtzfPwmfvtwfsdGB+OjHA/jwh/0mV2AjxxFlCpoR/+y4BADIsnF6nTWsSbYYm57oqCmztjS+r6xSGGyT2tCg3x7VT4dh8K9/sQMA8PPaM/h7Z23CsKy8Cqnp9q/AaS4xaOw1WrVNt/pP8yxZOafPUTOlTR5XZ0dtjP/7cifmLDtUO8zK83DqIhERkedjoouIqI5rEhOCjyb0wRN3tcLeExmY8PFm7D5ue4UPCSdWxdPQKavw7jd7NbfF6n9kjjWVNPryCstQWl6dXBI7QlsSaMbuIRUro2HtYVSA0ki+U10BtWzdWezXml73/pJ9+HT5EcHh9O/UWPe0Aqc1ZueXWhxjjv7rI17C077jGOvtlpFTbNBLTWLLigVERETkVpjoIiLyAjKZFA/d1gLzXuqHqHB/fPDdfsxeetDilDdyLWO5mH2nDKffSRxZhmJDfsGRFWa25E1SruQbbLNU0SX2U1qdlLQ++CPnTfdcMyci1F/vvGaDMqCoSQjpP3xrm9MbrDZp7vwCFJYYX9TA2uNHhuk+LwqlCk9/sAEf/3hAdyDzXERERB6PiS4iIi/SLDYUn0zqi0dvT8b2I9fwwkebjCZOiNS0K7pmLz1odJqifhXQxWtiTLmzzsc/HcCot/8zuT+/qFynN9eZ1FwAuv2cjBE7eahS2TbtUvh5dE9SUWk4bVPNWLWefo8u9ettVY8uE9Mz3UGPtrE6t9WP8+AZ3Sb1zHMRERF5Pia6iIi8jFwmxcghLTF7cl+EBfvh3W/2Yt4vh1BUarxigtyXo/ohadNe+W/Loav4baNhU/yDZ7J0bn/5xzGHx6W27fA13Cw2XZn4lV4sUz/bjqtZhWYrtsoqqqw+v4CZi055vfTP8ehbppOAxqiTX+r/b9x/pfq2lVk6g2EqoLTc+udTKGufU4NKM80G3VeQPbqIiIg8HxNdREReKrFxOOa82A8PD2qBzQevYuLHm3BIL2FBrlVSZl2CwJYv55VVSmTllWDolFVmV2W8dP2mzm3BPZeckd0RqKik0uzjeGjaPygWO/GrclyDfu3nWEjfNmPhqBNa+omt7IIyndvGk4sqg4IulUqFmd/tszomR9GvXtOkuQyuHWa6iIiIPB0TXUREXsxHLsXjd7bCxxP7IMBfjumLduPz344YnZ5GzmftFEBb8ifTv96Nse+tBwD8vsmwSkuscz330SZhd7BTSKCPVePUzfJNEbvCUeWUpQOAHUeuWT3WWOJNnRCy9DqbqqLTf5QqAIfP2dZvzDq158u9WWZylH7iTv3Y9aeosqKLiIjI8zHRRUREaNE0AvNe6o8HBiRh/d40TPxkM47a2AzbldbtTcORc95XlXbxWr7g+xy/kG3z+cwlFPTlF5bbfB5b9NNbddBdqBxZ0aUl96b1z7exaBQK22OsfozWj9930nn9AQ0TXdX/N2iy76R4iIiIyHGY6CIiIgCAr48Mo+9pg1kT+kAuk+LNBbuwYMUxh/bXEdv3/5zCf7tTXR2G06g0/ZRqtwlJQmk7npJtVZJw04ErePKdtUb3KZUqfPXHUZvOb4siI6uGKqzoJZVjxXNkbcLD0uqN2txtFqexxFtq+k0jI20/prnHfCYt165zWTq+NoOpizW3DV6+mszXmdRcDJ2yCplaK4i+8uk2TPxks82xEhERkXMw0UVERDqS4yLx6ZT+uLdvAv7ddQmTZm/GyYs5rg7LoqLSStwsrkBZhfkpaXWdqSSUJf/7aifeWrjb4rj8ItMVQ2kZN/HvrlSbzm+LkUYarfvKZRbv9+H3+y2OycgttioGa1dnVKlUTqnoEsJcOOJF6tjHbO3RTVV0mWpGv25vGgDgiNa0y7OX8+xOBBIREZHjMdFFREQG/H3leHpYO3zw3K0AgGlf7sDiVSdQXum+SaTrN4oAAOVekOhSJ0wckUK4mlXogKM6j6+POL/avPHVLqvGnbucZ9U4FQyrikTjgMZS1iTlzl3OM6igKyzR7W1m7jDWJgnFoF/oZ6oZvfqmulJP/TyMelvY6pVERETkOkx0ERGRSW0To/HZlAG4q1c8Vm27gMmzN+PUJfes7krPrq7AKa/wnKmWtjqdat+UL4VCaXLfc7M2WZ28cUcBfnKnnu+otY3WVXB0cZNg9laYTfl0G37feE7rePZGJJy1j0G/ogsmmtGrM1/q7erjazff/3rlcberziMiIqJaTHQREZFZ/n5yPDu8Pd57thcqFSq8/sUOLFp5HGVu1rvrek2iyxumLpZVKKBQqnA5w7bqqz+3XtDdoPelXf1ckmWVZpKG2lQqlUFVkWhsTLqY678XHOir+TmnoNTkuEsWpvK5SzpIv5pO/VoYtOhS/7/mB6VSZVDJunr7RRQUGV91koiIiFzPuX/2JAOLFi3CxYsXXR2GhjqWadOmuTgSXQkJCXj66addHQaRV+vQvB4+f2UAfvjnFP7afhH7T2Vi4ohb0C4x2tWhAQCuZ1dPXbx2owgFReUIC/ZzcUSOo1SqsOdEuuZ2ytV8Qfe3tNqdQfWLC9zTOx5/77jk6jBEk3uzTNRpocEBPigqrZ4maE0DfmN+XnfW5D4fWW0KaPSMdSbHaSeKTlw0XMkz30zj//2nRFh10cqHrjLo0WW8osvYbMoKI1O2K6rqfkKdiIjIUzHR5WIXL17EiVNnIfMPd3UoAABlVXUT39MXM10cSS1FWb6rQyCiGgF+cjwzvD16dWiIz5Yfwf++3Im7b43Hk3e3dvqUMX3qqYsqFfDY9DVYPXuYS+NxJKVKhcqq2kqi/6xsAJ9XWIa1e9IsTn10h0SXp7C2zdSXfxxzWAzFZbZVVxpL4KhZWySmnSjauP+Kwf4Ffx43ed9L153X2F1h4gEZ9uiq2aDVxEtmZGVNidXrchIREZGz2fyt5OrVq7h27Rpyc3NRWFgIX19fREdHIy4uDo0bNxYzxjpP5h+OwGa3uToMt1WSttHVIRCRnnaJ0Zg/pT9+XHMaq7dfxP7TmZj00C3o0KKey2K6fsN7ptvpV6dY67XPd2gSgjr0vu07rGm6AI3qBbs6BKu4KuEhRh9317/K9rPmMfj6yMysuqhHL89lJMdVPYx5LiIiIrdldaJLpVJh69atWLNmDfbu3YuMDNPl5lFRUejTpw+GDh2KXr16iRIoERG5F3+/6pUZb23fEJ/+chhvLtyFO3rGYcw9rRHo7+PUWIpKKlBYUoEAP7nZvkN1hVKlEtyXqaikwniSCzA41o080z2ZnKVTy/o23c+ZK/kBwM5j1516PmMUSuv6hOlTmbmbte8uT0j4VFQqDBNdNY9Qqj91Ub1ffU14wgMkIiIiHRYTXVVVVfjtt9+waNEipKena/7hl8vliI2NRXBwMAICAlBYWIi8vDzk5+cjOzsbf/75J1auXImkpCSMHz8ed999N6RS9r4nIqprWsdHYf4rA7B0zRms2pqCA6czMfHhW2xOVNhC3Tw9LjZUMy1PpVI5PenhLLkFZQgKEJZMHPnWfyb3pVwt0Ln9y3rTvZvIOYICfFBc04PLkovXCiwPMqKguNym+wkVFuzrsObtVq+6qDJR0WV80UXNfgmAM2mGq5Cq96tUKvzw72kM6tbUY6oQiYiI6jqzia6dO3fivffew6VLl+Dn54fBgwfj1ltvRadOnRAXFwcfH8NfsisqKnDy5EkcPnwYO3bswJ49e/Dqq6/iiy++wHvvvYcuXbo47MEQEZFr+PnI8NTQNujVPhaf/nIY07/ejcHdmmLsvW0FJ2RsoU50Na4frEl0Pf5/a7DkrdvhI697f2RZ8OdxvPxoJ1eHocPWhuje5NYODbHzqGEFmLFkjZAUra3TJ80l0qwtGNx2+JrFMT4y11+D+o9H/ZwbTk2U6OxfuyfVIBEM1FaEZeWV4vdN57Hz2HV8PW2Q0XMfOpOF5LgIQZWuJy/m4EpmIYZ0bwapqfmTREREZJTJ3zzefvttjB07FhUVFZg+fTp27tyJ+fPnY8SIEWjevLnRJBcA+Pr6omPHjnjqqafw7bffYvPmzZg0aRLKysrwxBNPYMaMGQ57MI60cOFCjBw50tVhELkUrwOyJLlZJD59uT8eHNgcG/dfxgsfb8KB045f3CL9RhEkEqBX+4aabQVFFThyLsvh53YVN2ijpUPMFQXrqtBAX4QF+xpst3f6o62Fi+aTk272BrOT6R5d5lddTMsw8b6uub962qipyrKsvBJMX7Qbc5YdEhIuXv9iB774/Sj+2Vl3Vh4lIiJyFpOJrg0bNuCtt97C2rVrMXLkSAQH21aOHRMTg+eeew7r1q3DlClT8O+//9ocrKssXboUc+fOdXUYRC7F64Cs5esjw5N3t8Ynk/siOMAH7yzeg7k/H0JRiWOmLgHA9ZxiRIcHoHOy7nTJEhtXo/MEWw4arnDnSgpF3UqMOIIKxnuI5RcaTiG0NO22sMS6aY1m43G3bKkDmUp0Gay6qDd10dQKpOqtJy7kAAAyckqMjlOvbGlrIvjajSKd21cyC5FT4PoeekRERO7MZKJr3bp1GDVqFORycZaL9/X1xdixY7FhwwZRjucMmZmZePbZZ/HJJ58gPj7e1eEQuQSvA7JV8yYRmPtSP4wY1AJbDl3FCx9vwt4T6Q45V/qNYsRGBUEikUCuNU3q4rUCPP5/a5ByJd8h53WlIiv7NznLhz/sd3UIbi+/sAw3iwyTWsamphU6MDGsZq6gy1NyYFZPsTyiO8VSPfVQP6F4JbMICqVKs9/U4feeSMeNvFKL/dHU8ZlKhFmi31vs+Y82YfSMdTYdi4iIyFuYTHTZWsFliaOO6wgnT55EUFAQ/vrrL3To0MHV4RC5BK8DsoePXIbH7myFOZP7IizYD+8t2YdPfjqIm8Xifom/nl2EhjWNoJVaK9BtOngF+YXleGneVlHPR4bSs4sxY/Ee0Y4XExlo0/3cuZvRnhMZRpNL9iaVbJ26aKpayRuYW1QxJ79Upxm9MYtWncDE2Zux6cBls+c5m1bdM9DmHnbe+xIRERHZzK5yrdzcXKSmpqKsrAwhISFISEhAUFCQWLG53MCBAzFw4EBXh0HkUrwOSAyJjcMxe3I//L7xHJZvOIej52/guQfa6/TUslVhSQUKSyrRMLr63x/190mZVKIzJezA6Ux0aRVj9/nchcneQS6UXVAm2rFkRhqYd06uj4Nn6l7ftcsZNwWNbxITgiuZta+/I1YXFTO/Iub7Qp+tcaqnbd7IM5wGqP18Vv9s/Cz6zfwzc0uMJGhNvzZXswqxZncaxt7bxuRryDwXERGRcDYluv7991988803OHXqlM52qVSKrl274oUXXkDXrl1FCZCIiOoGH7kUI29PRo92sZj3y2HM/H4/endoiGeHt0dYsJ/Nx02vWXExNlr3Dy1R4QHIyq2dLnTqUk6dSnSpe/94E5nU9av3OcK/u1IFjf/y1YEYOmWVY4JRq2tzFwXcTSKpTYRVKZSmB+oRek3OWLwX6TnFuPvWeIPPLyIiIrKd4N8Y33zzTUyZMgUnT56ESqVCcHAw6tevj6CgICgUCuzZswdPPvkkvvvuOweES0REni6+YRhmT+6Lx+5Mxp4T6ZjwyWa7mitfr2nWrK7oahJTPYUxMkQ3eWasDxJ5FgcULpGHu5JZZHmQESoLtVK2pM+Mf8aYPpJCpe4TBmTkFBtdHMCbFgwgIiISi6BE1+rVq/H777/Dx8cHkydPxtatW7F//35s3boVBw4cwIYNG/DUU09BIpFg1qxZ2LNHvF4dRERUd8hlUowY1BKzJ/dDSVkVPv/tqM1f6NKziyGRAA2iqhNdHzzXGx88fyvC9RJd/L7o+ZjoqhUd5q/5WUjVkbU85XJ59fPttt3RQkWXLU+ArW/PC9cK8PQHG7B6x0Ubj0BERETaBCW6fv75Z0gkEsyePRvPPfccYmJ0p4A0btwYr776Kv7v//4PKpUKixYtEjVYIiKqWxIaheGJu1rhwOlMbD541aZjXM8uRnR4AHx9ZACA8BA/tEuMxpN3t9YZ9+uGc7ia5X59rYhsEeDvo/l5/6lMF0bimczlsSQSiW2JcSOZLrPHqdmZmVM9/frkxRwbTkpERET6BCW6zpw5gyZNmmDw4MFmxz300EOIjY3F0aNH7QqOiIjqvnt6J6BVXCS+XnkcuTeFN62+nl2kmbaorXH9EHz5qu5CCsdSsm2Ok1zPmqbr3lL15cjHOXTKKoNG63WNuQrS6oIu4ZkuqcAXRX0GaU3vOW9eBZOIiEhMghJdcrkcgYHWLfcdERHhkr4CK1asQMuWLXHgwAGTY3bt2oUnnngC3bt3R6dOnfD4449j+3YbS9+J3BCvA/IkMqkEkx/piMpKBb6wYQpjenYxGkYHG90X4Ke75srOo9dxI6/UIVO9yPGEJhKs4SOv/lVIbmSVR3fm6HxeptZCDnWR2Y8ZG6cuWiPvZhkUep8/5t7WpuIsK6/CoTq4AikREZEYBP1W161bN5w/fx6XLl0yOy4zMxPnz59Hp06d7ApOqMOHD+Pdd981O2bFihUYM2YMDh8+jPbt26Njx444fPgwxo0bh+XLl5u834cffoiff/5Z7JCJRMfrgDxRo3rBePyuVth3KgNbD1k/hbGwpAKFJZVoWM/4imXaXyC7tW6AnIIyPPXeOsz7+bC9IROA6PAAQePfe6aXfSe0IrtjTdWXMT5yzyoFs/VxWuvIuRsOPb6rma/oktiU59J/TQ6fzUKVVpVWUUkFnnhnLb5dfRK/bzqPG3mlNbEYvz8AVFQZX8nxs9+OYPqi3ZrFOIiIiKiWoETXlClTEBgYiGeffRYpKSlGx2RmZuKFF16AXC7HlClTRAnSGuvWrcPYsWNRUmL6L5BZWVmYPn06QkJC8Mcff2DRokX45ptvsGzZMgQHB+P9999HZib7XJDn4nVAnmxon0QkN4vAwj+PI8/KKYzqL3mxUaYSXbVfHKuUSlyrGb/18FWcu5xnZ8QU4CcTNN5P4Hh9PlZUXd3ZKw6N6gUjMtTP4liAixSY4s0VXSqVChWVxhNM5qg/bkrLq3DqUg7e/no3fvz3tGZ/YUn1dNC9JzPw/T+nrDrmzaIKo9u3Hb4GADiTpvs59s1fJzB0yipcyWQ/QiIi8l5yUzsmT55sdHuDBg1w/vx53HvvvejcuTOSk5MRGBiI0tJSpKamYu/evaioqECfPn2wbt06JCcnOyx4AMjIyMCcOXOwatUqBAQEIDo6GtnZxnuw/PTTT6ioqMAzzzyDFi1aaLa3b98e48aNw7x587B8+XJMmjTJoTETiY3XAdUF6imMk2ZvwRe/H8UbY7pZrFpJz65u4tywnvGpi9p315/mM+XTbVg9e5h9QZMg9tYgWTO90N9XjgWv34YTF7Ix7cuddp6R6ipz/fo+/ukgjl8Q3s9PAgnOpOZi6mfbMaR7MwDVVadq6r5fpvqfGf24s3DRnEnNxcAuTTS3V269AAA4fyUPTWJCBERPRERUd5j8jXHt2rVG/zt//jwAQKlUYv/+/fjxxx+xcOFC/PDDD9i2bRvKy8uhUqmwbds2fPXVVw5/APPmzcOqVavQtm1bLF++HAkJCSbHqvsPDRo0yGCfusH+tm3bHBMokQPxOqC6onH9EDx2RzL2nszQVCyYcz27GBIJ0CDKeP9ISz2d8gqFN78nbc6d7ufrY30huvVT+zyzpMtbmu47yrerT5rcZ0uSCwDKKqo0FVbr9qYZ7FdXkRUZJLqqd0jsvJ42HbgCqbT6GDGRxqtciYiIvIHJiq4JEyY4Mw6bJSQkYNasWbj33ns1q9YYo1KpkJKSAqlUajQJEBcXB6lUipSUFKhUKof3viASE68DqkuG9UvCrmPpWPjnMbRvHo2IEH+TY6/fKEa98AD4yI1PidN+D3/w3K3431e6FT5P/N9afPpyfyQ0ChMneC8j9CPC3s+UuvKZ5OcrQ3mF8Klx2uxJioQH+yG/qNyu83u69knROHRW3GbuJy7mmN1vqi9YbY8uw30WF2DQ2j3350PmxxIREXkJj090jR8/3qpxBQUFqKioQGRkJHx9fQ32y+VyREREICcnB8XFxQgONj4Nhsgd8TqgukQ9hXHynC346o9jmPZkV5MJjvScIpMrLgKAVOtu4SG1PZvee6YXPll6EPlF5Zg8Z4tDpzBm55c67NiuJjTVEhcb6tTzWcNje3TZ8WS8Mqoz3ly4S7xYPJBUKv67SQLzyd8CE/22NPevufN/u8wv+gQAESF+yCssR/ukaBPHsngIIiKiOsuz1tK2Q2lp9ReNgADTK0T5+1dXDRQXFzslJiJn43VAnqJJTAgevT0Zu4+nY8eR6ybHXb9RjFgTKy4CuhVAgf61f9sJCvTBJ5P7am7vPZFuZ8TGKRRKjHl3HQCgU3J9k+MWTrvNIed3N45ILthLu7+Rs0SH6X4G14sQtnolYGciw/1eBqerUihFP+bSNWfM7n/9ix1Gt6dczde5/eUfxzQ/m3qd1Yl7Px/j1awWK8GIiIjqMJOJrsceewzHjx8X9WQHDhzAyJEjRT2mtcxN51Izt9Q0UV3A64A8yf39EtG8STi+WnEM+YWG06xuFlegqLQSDaPNJbpqfw7wq010hQT6IiYyELe2bwgAeG/JPvEC15KhtXLdkG7NTI4zV5VGWhzw3d1URYwjvf9cLyQ3i9DcvpHn3Ko/d0w4OptSKf6/dflF5TatdqjuR7j9yDWTjeoBQKEVs/qfalOPYupn2zUJtHcW78HQKav47zsREXkNk996S0tL8fDDD2PSpEk4edJ0w05r7Nq1C+PHj8fjjz8OpVL8v6BZIzCwulFxebnpnhTqfeaqXYg8Ga8D8iQymRSTH+mI0vIqLFhxzGB/enYRAPNJIu2KLn/f6kTX4G5NERNZfS0M65uodTzDKsasvBKDbUIcO39D83OTGPPJLO3Eh6eoKz2znC0qLAA92zW06xj2PPMxEcYXb/AmjqjoAuyfCvvIm//q3L5ZVIGhU1bhxIVslJTVJsHUSat3v9mL9UYa3wPAS3O3AgAOnM4EAGw9dNW+4IiIiDyEyUTXr7/+ikmTJmHbtm148MEHMXz4cHz77bc4e/asxYOWl5fjwIEDmDdvHgYOHIixY8di3759eOWVV/Dzzz+L+gCsFRwcjMDAQOTl5aGqqspgf1VVFfLy8uDn54fQUPt6iBC5K14H5GmaNQjFo7e3xM5j17HjqO4qjNdrElOxVlZ0SaUSrJ49DJNGdNRsa6GVXBo/c4POfdfuScPY99bjTGquzfHvPl49JfLn9+5CPQvJBSaNLHPIc+Si5/2X9eanuVlkR9xBAT72nbsOUCgcU90kdtXU2cvVqziu3HoBVVW1yTnts1izQi0AZBeU4WpWoZFVH4mIiOoWk83oZTIZnnvuOdx3332YP38+Vq9ejY8//hgff/wxAgICkJiYiCZNmiA4OBgBAQEoLCxEfn4+MjMzcfbsWSgUCqhUKvj5+WHkyJF4+umnERsb68zHpkMikSApKQnHjh1DamoqkpKSdPZfunQJSqUSLVq0cFGERI7H64A80fD+Sdh17Dq++uMY2iVGIyy4ujfN9RvFkEqABlGmE0iW+tTI9KZwnU3LRUSoP+pHBGL19gsAgLzCMptjP3yuuqIrOMAHZeW6yWWpVOKQ6VMkjPod4OxZXaXl9q66SPZQJ5DcnVwmQZVCBaWq+j817USdtZ8lcpkEz83ahMb1g/HVa97RF5CIiLyTyUSXWmxsLGbOnIlJkyZh+fLlWL9+PS5cuIDjx49renhJJBKDv2DFxcXhnnvuwciRIxEVFeWY6AXq06cPjh07hg0bNhh8wd+wofov+f369XNqTHl5eVCU5aMkbaNTz+tJFGX5yMszXCGQbOOO1wGROTKZFC8+0gkvzt2CBSuO4bUnugKonmoYHREIH7nxZsyA8AqgV+ZvBwC8MaabZmpTeYXwhERmbgn+2Wl55TRPVxeK0Dy1abc9YbNHl+MoRc6YVtUktPQPe7O4tgVBVl4JnnhnjdH7V1TWfn6p3+tXs4pEjZGIiMjdWEx0qcXGxuLFF1/Eiy++iOzsbOzbtw/Xrl1Dbm4uCgsL4efnh8jISMTHx6NDhw5o1KiRI+O2yfDhw7F48WIsWrQIvXv3Rtu2bQEAx48fx+LFi+Hv749HH33UxVESORavA/JEzWJD8ciQlvjpvzPoffQ6bu3QENezi8w2ogcAW7/Pv6/VnH72skPo31nYynxvLdiF9Jy6v3KpRGBdkb3pFSH3T2wcZufZ3Jul535wt6ZYv++ywfbp43roLMxA4tq4/4pDjnvs/A1ot7ktLKmdfmgucfXA639rfub0aCIi8hY2/aYTHR2Nu+66S+xYHK5x48Z47bXXMGPGDDzyyCPo0aMHVCoV9u7di6qqKsyaNcvp1WcRERHIyKtAYDOWkJtSkrYRERGe16TZXbnjdUBkjQcGNMfu4+n4asVRtE2MwvXsYvTraP6PKmJ9sUu5mo+kxuFWj7cqycUV0BxKvfiAJS1tXASgTUIUTl7Msem+zjDx4VuMJrq6tIpxQTRkr4oqJVQm11i0jr33JyIi8hQmm9HXVaNGjcKCBQvQoUMHHDx4ECdOnECnTp2wZMkSDBs2zNXhETkFrwPyRHKZFJNHdERxaSXmLDuE4tJKxJpZcREQb2rdS3O3IuVqPgBg36kMpKXfBADkFJRi2pc7kF9oeiVTEpEDClJkstqDfvhCb6vv5yNz8a9QFp4LVu/UPTeLK+y6v6/WNO+L1wrsDYeIiMht1bna9R9//NHimAEDBmDAgAFOiIbINXgdUF0V3zAMIwa3xNI11SvWNaxnfuqimF/2X5q7FatnD8O73+wFAKyePQwrNqfgxIUcTPl0K9olReORwS3RICoIjeoF4doNC1VdEonnV3U5KJeS5KJph20SPKea9WyaZzRTJ/G8NHerXfcvLKlNlE2eswVTH+uMAD85urZuoOm1q/2ZWVmlxPDXVuPZ4e1x963xdp2biIjImbyuoouIiDzbgwObI6FhdSLEUo8uodomVic6fOSW/3k8ev4Gdhy9BgDIyivFxv1X8PQHG3Als5AVXnYa0r2Z0e1Ce4IRUa0f/j2tc/vjnw5ixjd7UVGpwL2v/IVla8/q7P95XfUfFBasOOa0GImIiMRQ5yq6iIiobpPLpHj1iS7YdOAKGlqYuijUI4NaImlMOKRSCYpLKzHm3XU6+/edzND8/OaCXUaP8fxHmwAAvdrHYtexdKvP7YkzzWyJuVVcJE6n5podI7T5v0t44OtFZExJWRUA4N9dlzDqjmTNdu3POyIiIk/Cii4iIvI4jeoF4/E7W0Fq67KKRnw0oQ86tKiHoAAfBPjJER0eYDDm3W/3Wn28Xu0aCjq/I2Yx9uvYWPyDarHl2W8WG2pxjKlVAd0qGejhs06J1NTTFvU/T9MyCl0RDhERkd2Y6CIiIgLQLDbE5L4mMab3mWIqWWOKI5I4XVo7doU95npsZ+vr3aieuFWMABAR4odJD98i+nHJMyjViS6992RUmL8LoiEiIrIfE11EREQApGYyDw/d1lzw8fz9ZJYHOZg7FUABcLOSLDvZ+VBsvfvwAUn2ndiIpCbhGGyiLxrVfQqlOtGl+64Us2KWiIjImZjoIiIigvkvdRWVCsHH8/fVq+jid0YAwOBuTV0dgkfz8xE/gWouyUt139o9aQAMPwMVCtZsEhGRZxLcjF6pVGL9+vU4cuQIioqKoFAoNHP79UkkEnzwwQd2B0lERGSP7m0aWBwjMfNlv1+nxli29ixyb5bpbB8xqAWWbzhn9D5hwX6CYjR3fndlS8R+vq6vdHMLEolNjdkiQoW9r7Q9ptVoXJvSEQ3iyGP8WvMZpp/oUipr3xc3iysQGuRr8VhKpQrbj1xD71saQcaKMCIichFBia6ioiKMHj0aJ0+eBACTCS41JrqIiMjVfpt5N3xklguYzVV0+fvK8f302/HlH0fx365UzfaHahJdCQ3DcPF6gc59YiIDzZ5P/2yW/k2tK+ypSHJEMtBVCUbtJIIQEjtKA0cMbml0u5e89cgCdWXfuct5+OqPoygpr9Ls++C7ffjwhd4Wj7Fx/2XM//UICorKcW/fRIfFSkREZI6gRNeCBQtw4sQJSCQS9OjRA/Hx8fDzs/0vi0RERI5mMIXQBGN5ro8m9EF6TrHm9vD+STh/OQ8pV6uTWn4+Mnz75hBEhPphyrxtBskuc7w1t9AgKsjVIXi0+EZhoh+TlTcEAAXFFSgqqcDiVSc0n3Fq6dlFVh0ju6C66vVmcYXo8REREVlLUKJr7dq1kEgk+OyzzzBo0CBHxUREROR0xip7WsVHolV8pOZ2g6ggzH2pP4ZOWaXZVi8iAAAQGmx5Wg+RPd55uieCA3xEP64HzpolBygurcTIt/5DoL/h1wN1AWJpeRVKyioRFRZg9BhVCiWA6gb3L83bihce6ICkJuGOCpmIiMgoQc3oMzIy0KxZMya5iIiI9JRqTfMZ1JUN1x3BEY3YPUmn5PqCxkeG+ls1zhP7w5HjlJRVGW5UAUfP3cDD//sHo2esM3nfqqrqRNfF6wVIuZKPb1afcFSYREREJglKdIWFhUEm8+5fMomIiIxRJ7o+fKE3Jjx8i2uDqeFu+Qt7w7mtaxNR4hCDmz21Rs2e3NfVIVAdoVSp8ObCXZrbCoUSBUXlBuOqlNWJLnVfRPZ/IyIiVxCU6OrVqxfS0tJw9epVR8VDRETk9uIbhhpsUye6osL8rep55AmJEndjbsEAInIc/cUyvlpxDI9NX4Oyitrqr/TsYqzZnQYAkMurv2JUKZR4/YsdeOHjTfjgu33OC5iIiLyaoETX5MmTERAQgKlTp+LGjRuOiomIiMitzX2xH1bMukdn2/MPdECzBiGIDjfeu8YSVj5YZs+Kg97I2vcUE4hkSWFJpc7tXcfSAQDlFQrNtlc/246Kyurbpy/lAgByCspw8mIOLmcUYvfxdCdFS0RE3k5QM/p169Zh0KBB+PPPPzFgwAC0bNkSMTEx8PEx3hhVIpFg3rx5YsRJRETkNmQyKfQn8ndpFYMurWKsPkadyGu529xI0qGy8l1WPyLQwZFQXVNYUr2qokoFHDmXBQAoKK6dyph7s3r1xez8UucHR0REXk9QomvWrFmahqVVVVU4efIkTp48aXI8m5sSERG5jsMroLy4DO2uW+Nx+JybV7db+fKMuiPZsXFQnaWCCm8t3O3qMIiIiHQISnS98MILTF45gKIsHyVpG10dBgBAWVX9Fzip3LqVmpxBUZYPwPoqCSIiT8B/TT1b+6RoV4dgkbVpSG9fzbIuCg3yxc3iCoefZ97Phx1+DiIiIqEEJbomTpzoqDi8VkJCgqtD0HHx4kUAQEKCOyWWYtzueSKiuuPp+9pi74kMh5/HFX8oaucByZi6KDY6COnZxa4OgwR46Lbm+G3jeVeHIZofpt+O+15d7fDzHDqb5fBzEBERCSUo0WVKRUUFfH19xTiU13n66addHYKOadOmAQBmzpzp4kiIiJzj3j6JuLdPoqvD0EhqHIaUqwWiHCs8xE+U45jjI5eiskpp1VhvKQqf/3J/lFcq8Nj0NS6NQ3+lPGerFxGAG3nu06Op7y2NcCn9Jq5kFhrs69a6QZ1KdMlkgtabcpm5Px/CtawifDK5r6tDISKiOsSmfwVzcnIwe/ZsDB06FG3btkWHDh3Qtm1b3HXXXfjggw+QmZkpdpxERER1SlzDUKPbxw1r5+RI7LPw9UGuDsEujsi9+fvJERZsPsk4pHszB5yZzEmOi8Sjt7c0uo8rTzpHTkF14vNKZiFyb5Zh04ErOHs5z8VRERFRXSO4ouvgwYOYOHEi8vLydP5SWFVVhYsXL+LSpUv466+/MH/+fHTr1k3UYImIiDzJ08PaIiLEsOfhB8/fimYNQjHq7f8cdu56EQEOO7Y2P9+60d/J2bVP/n7CnjdfufC/Tbp6rQB3SB0N7NIEmw5c0dw29Zw0rBfspIi82/f/nMLLj3bG8x9tcnUoRERUhwlKdGVlZeH5559HQUEB2rRpg0cffRRt2rRBYGAgCgsLcfLkSfzyyy84deoUXnzxRaxcuRL169d3VOxERERu7d6+xqdEtkt0fO+sB/onOfwcdWLNRVdlYwQ+eT4CGsb3uaVRzSnqxCtkl2fub6dJdEkkMPm8B/nLMfru1vjun1POC84L5d0sx0PT/nZ1GEREVMcJ+vPg4sWLUVBQgLvvvhu//fYbHnjgASQnJ6Np06Zo06YNHn74Yfz++++46667kJeXh6VLlzoqbiIiojrJW/pYkTBC3haaFSFdnedygzez/iIQppJ/EokEPdrFOiMkp2ubGOXqEDSOnL+BsgqFq8MgIqI6TlCia+vWrfD398c777wDqdT4XaVSKd555x34+vpiw4YNogRJREREAjkhyXBfvyR3yGW4hL2raArNQQkZb2ysXOb8Fyort8Tp57RHXX0v/9/TPV0dgkWe9l4hIiL3JijRlZ6ejqSkJAQHm+9jEBISgqSkJFy/ft2u4IiIiOqy6eN6YP6U/gAcsEKeExo09e/U2OHncLbG9Z3Tq8nalSrVuiTHWBzTslkEACC8phG+7jvAeBZn2pNdBcVhrdWzhznkuEJpP2qJRGL2spC4RVcx8fkJmPbqKsVllfh57RnsPs7vDkREZD9BPbp8fX1RWGi4JLMxRUVFkMsF97onIiLyGl1aGSYv6uqXbXvJpBKnVNyEh/jhalaRw89TXlFl9dhv3hiMiFDzqzgCwP39kuDnK0Pn5Or+qNrJU1OLCvZq39DqODyS1uO2tLKiuffXw4Na4NcN50QKivRJJBIsW3cWgPskSYmIyHMJquhq2bIlLl++jGPHjpkdd/ToUaSlpaFFixZ2BUdERORtRGsg7qR5WELOYs10v2YNQoxud3W7KbEJeTz1IwPhI7dclSOVVidP1c+zdvWSxEKSxxvILCa6TO8XveKSdPDtSUREYhKU6Lr//vuhUqkwefJkHD9+3OiYY8eOYfLkyZBIJLjvvvvEiJGIiIiEctIXc5lM0K8SFs15sZ+oxxPK1qftf6MFTgF0ct7EW/MI2skrqURi9mk39xz17ej+03TjYkNN7uvepoETIxHO3p53RERE2gTNLXzggQewevVq7N27Fw8//DBat26N1q1bIygoCEVFRTh16hROnz4NlUqFHj164IEHHnBU3ERERB7F2q9xnjJ1MTYqCAAQ4CdumwJfD+gnZEy7pHqCxjsiD9mg5jWpPUftSdwljxAU4IPi0kqnnU/7YVueumh6f1xsKOJiQ5GaflOkyGxzf/8k/Lklxei+oAAfg22x0dXviVdGdUZGbgkmfrLZofHZythrc/BMJlrHR4n+GUNERHWfoD/DSiQSfP3117j//vshkUhw8uRJ/Pbbb/j+++/x+++/49SpU5BIJBg+fDi++uorkyszEhERkS5PmxjVqaYPVF1jbULI3ryRaFNUtcQ3DNM7hzY3yXS5kFQqMZphfO6B9gCcnwwUXAUIYFjfBJP7Xn28i87t+VP645NJfQEA/n5yxMWGokPzaMHndAb9pz4jpxj/t2gPPv3lsEviISIizyb4TyR+fn6YOXMmJkyYgO3btyM1NRXFxcUIDAxEfHw8+vTpg0aNGjkiViIiojrPXSpv3I6DpmK6rILOCZlN7Ufm6+Mef3x09rOtfT3JJBIojLyPfGqm3zr72gsNsrzAgBCRof46t/UTn4D4FZhi2X7kms7t0vLqxRqu3RC2MMSVzEJczizErXV9kQUiIjLL5n/tGjVqhEceeUTMWIiIiIi8grV5rk8m9bH5HNpT2WY+39vm41jSNjEKJy7kWDXW+YlcrR5dUgkUSsMR6tfC2X2ibD3dlFGdMXvpQXGDcbGcm2V2H0OlUuH5jzYBAH794G6HJPWWrjmDX9afxcqPhoren5CIiMRj8hO6tLQUpaWlRrcJ+Y+IiIiorhOas7B2Fb+WzSKFB1MjKixA83OTGOOrWQrxx4f3GN0uLIlm+ZlqamLlTXtJpeYTjKYiG9iliSPCsamaUC6Ton8n2xvjhwXrVpE5ovKpnw2N+4UUbE6avRkffLfPYLu6CgwAyiqqDPaL4Y/N5wEAlcYypkRE5DZM/qmjY8eOkEql+OeffxAfHw8A6NSpk6CDSyQSnDp1yr4IiYiIiJzEUxYDcAVrFwoIC/a16zx39YrHghXH7DqGmnbVlKmKLU3S0cRL7yN3ztTGTyb1wSvzt5sdo5+oEmrcvW3RvEkEPv/tCABg6uNdsHPqX3YdUwzaid/i0kqs25Nmcuyl6zdx6brhogC5WlVh5RUKzXH1X/f07GKcTs21K4HppEVtiYjIRmZrbpVK3b9WqFQqQf/p35+IiIicQ2JhhTlP4y7fKy2t3Gctd3k8zta8abjFMaYSSo/dkSz4fNasuqiseTGkJk6sTpS8/mRX3HNrvOAYTElorNtDS8jUydAgX4TbkPTy95Pj9h7NNLdlDvickEhqk4PWOngmS/Pzo2/9i793XtLcVipVWL83DZVV5r9X5BWWa34ur1Rgx9FruPeVv3A9W7fP18vztmLuz4cExadPqay9gj//7Qi++P2oXccjIiJxmazo2rhxIwAgJibGYBsRERGJTOTMx6CuTcU9oIu5TQWFieofwdU+7vJ4nOiTSX3QJCYEI9741+w4U0/l7T3i8NOaMzafXyqRGH0fWZpGqo6nYXQwnhneXicJYw9fgckgbT/+3x1QAbjPjmqspMaGzerFsviNwXjynbVWj8/Or213otR7OXYdv475vx7B/F+PmD3GRz8e0PxcXqHAzqPXAQDPzNyI1bOHafYVlVYCABRKlcVE37UbRcjMLUGnlrqrzCq0glxbU332woMdzB6LiIicx2Siy9jKiVxNkYiIyMFEKrCwdpqZJ3FGr/Bn7m+Hr1cex7GUbKP7xcpPqbww02V1vzGTlVU2nFTrTlKpBI3qBRkM6dE2tmaoiRM46H1nT/N7eysLf3nvLsFVV0LorwBpq8KSCrOVXBWVCkgkEly4lo98rYquikoFZFLzj69KoYRKJUFmbgka1QvW2adUqjDhk824klkIAFg9exgUCqUmFkXNrJWcAvYjJiJyR4L+hXviiSfw/vvvWzV20qRJGDJkiE1BEREReS0X5T96tY8VNN7aZurWalw/2PIgJ2gWG4r3n7vV4edxmwo1B4iLDXV1CBra6SB/XxlaNI0wGKNOCpvKO5ma0miLTsn1LQ9ygqAAH49IhucUlJlNyI144x+MevtfTNXrbVZeqYBMVvu6Gfu8UiiU+P6fU3j2w424kaebsFIoVZokl1p2QW0PMPXUxazc2vtl5ZVY8YiIiMgZBCW69u3bZ3Vz+bNnzyIjI8OmoIiIiMi54mIdN43JGh++0BsfvmB+9T4/N/hirp3ycEaFmSea9mQ3u+4vQXUPKrG1ios0W0Vlao9YL/PzD3bAO0/3NLpPe2qdLUYMbmHX/cVgS88wa5SVm15BsUqhQmm5wmB7eYVCZ1pieaXhmMoqJVZuvQDAMEml/zYpq6jSWdVRPXVRodWPeOx76808CiIiciaTUxcvXryITz/91Oj2yZMnmzygSqVCeno60tLSEBsr7K/DREREXs9FyRNXJ23Cgv0srigXHOiLeS/1w4tztzopKkNSqRRKRfWXWwnqVqutSQ/fYrEPkjWCAnwMtr37jPEEjzGdkutj04EruFmca3cs1qy6aHSwGW+M6Yb3l+yzIyrxPXZHK1eH4LDpuEdNTCM+cDrT5H2qK7pq/55fXFoJf1/drz3afbaKyyrNxvDBkn0YMbil5vb2w9dQUl6F9onRZu9HRESuYTLRlZCQgIKCAuzZs0ezTSKRIC8vD2vXWtdccuTIkfZHSEREVAdY+g7t6p5NnlKclNg43MURqIz8ZMNR3HDu4uDuzVBaXoVFq06IfuzwEOt7NtWPCDS63ZaeVkLuY3Kk3g51Ty9t9/VLRH5RObYcvGp9cPqn0TvPwC5NkBwXiS8FrugX4Gfy13uHctRi66ae03cW7zHYNrhbU6zfd9mgoquopBJRYQE6Y6u0en8Vl5pPdB0+dwN39qpdcfO7f6pnuLSJj9IZl3uzDOHBfiirqEKgv2HCl4iInMPsv4TvvPMOVq9erbn9+eefo2HDhhg+fLjJ+0gkEgQFBaFly5bo2dP6v94RERGR6xJO9jTG9kb2Pl9i57kev1NYRc+grk2xYf9lcYMwQ/vpmvZkV8z8fr/Tzm0te17Ssfe2BVCblBl9d2tNMsScR4e0ROuaZElio3CdfS+N7AQAZhNd08f10JmWN3tyX0SHB5gc71jGVyR1JnWvv+pm9LWBTPhkM8KCffH927drtlVU1T5vhSUVFo99NavQYJv+lMgn31mLh25rjt82nscv791ltLqRiIgcz2yiq1mzZpgwYYLm9ueff47Y2FidbUREROT5vDXPVVced4Mo41VQpkx+pCMmP9LRcIeDng/thu692je06Rgue61sSEo+MLC5VYmukbcna362ZSXFLq1idG4ba7YvRLvEaLz3bC/sOHoNH/90UNB99ZO3DwxIwsmLOTiTlmdXTEKoE0vllQqD57OgqAI5Wg3ltVdzvFlUgbV70rBmTyr63tIIfTsarjT/w7+nDbZ98J3hFNbfNp4HABSVVjLRRUTkIoKa0Z85cwZLly4FAFRWGpb4XrhwAXl5zvvHjIiIqK5oEBkEAPC3MO3ojp5xOreFrpZIwrz+ZFdXh2AViUgZKrGOY3BcgYd1RVJLv0pPvXqk3Myqf3XNnT3jIJVK0Dk5xvJgPfr5wNH3tMHHk/qKE5iV1H24fvj3tPHVMiW17y3taqz8onL8u/MSLqffxLerT2L0jHV2xzLu/fU4ccF4fzEiInIswf9yFxcX46233sKtt96KkhLdFUrmzJmDPn364M0330RRUZFoQTqbUqnE/Pnz0adPH3To0AFPPfUU0tLSXB0WkVPxOiByrgkP34I3xnRDswahgu4XHCDO6nScumhcPQdNA7N36uKdeglPsdj6Npg84haz+4W+T431N3L0O1T/+P07Na7ebuZJ+XhiH8ye7NxkjqN0bR2Drq2rE1w2vQ/coO+cj1ZSsrTCcLXG0vIqTZiVlbUVXanpN3HxegEeGdISX0wdIFqidf0+500PJiKiWoISXUVFRRg5ciR+++033Lx5E5cv6354K5VKVFVV4Y8//sDo0aNRUWF5vrs7+uKLL/Dzzz/jvffew/LlyyGTyTB27FiUl5e7OjQip+F1QORcAX5yo02u9VnTxFzICndqQmdNuf4rre0iQsyv7mgLoYlCpZ1JAf0pa2JlgZRK2+KyNEUrXOBz/qKRaZWOqqzSvPe1nkN/X5nmZ3NPbXJcpNXTBeMbWk5i//HhPVYdS0zJzSLw4MDmeHtsD01FaaC/D2Y+f6vOuFkTeuPXD+42OsUyMtQfd/dOcEq85shlUs17p7TMMNH1jdZCC9oVXWdrpld2To5B0wahouXsCor4OxMRkSsI+o1hwYIFOHfuHJo3b47ff/8dycnJOvu/+uor/Pvvv0hOTsbJkyexZMkSUYN1hoqKCnz77beYMGEC+vXrh+TkZMydOxfZ2dn477//XB0ekVPwOiDyHMYSX7e0qG/Dkbynokus1dBcWsCi93KJVYFSbCQ5YA2xn4uwYN3E2DdvDtZMSxObsSRlh+b1RD9PcrNIi2N8fWQWx4jt40l98eTdrQ22t02MRpB/7XMulUgQ4CeHn5EYv3t7CBrVC3ZonNaQy6SapOuN/FKD/adTczU/V1bpNpKPDPWzKhkpRD4TXURELiEo0bV+/Xr4+vri66+/Rtu2bY2OSUhIwGeffQaZTIa///5blCCd6fTp0ygpKUGPHj0024KDg9G6dWscOHDAhZEROQ+vAyL3Feyg5sYdmkc75LiewtpEjZCETv3IQM1qfEIM6Fw9Ze7RIS2tvo+53lpCvrwLrbzSnN/BedL6EcKa7QuhrlDSTni9NLKTR1ctiqW5VrWa+un5ZFIfg8UPzFU0hgWLM73aGnK5BEE1ieysvBKD/WUVtcmtcq2pi0B1NZfYU7jzC61LdF28VoArmYarOhIRkW0EJbquX7+OxMRExMaan1rRuHFjxMfHe2Q/n8zMTABATIzulID69esjPT3dFSEROR2vAyL3pb1Km5gSG4c75LieztRUUf2vw8a+Hn/zxmDc1y9R0HEBICSoOjEQIELl2Q//dzs+mtDH6vHNveh9IKtJcBmbtqs9FdNY7uPLVwdi4bTbHBWaUT9Mv92p5wOAaVqLMaiTQE0bhOK+vsbe18bf0wteH2RXDMEBPmjaIMRge/9OjfHs/e10tmlXdBWXGi6cpa2yUreiy5YG/JZor+xozuQ5W/D8R5tEPz8RkbcSlOgKCQlBcXGxVWMVCgV8fZ33FxyxlJZWlznrx+7r6+uxPceIhOJ1QOQ49hQMNIwOMjptyFOFB4vfK8s6rq/VMRuBDeE1qm982lhEiL/FlTx1T23+5G+N7Y76EYYN+t1h2ppQ6mSjenU+IZdmk5gQNIx27mOOCPV36vkA3Wm+2p9d5lq56T+P9lShtoqLxM/v3YW3nupusO/evgm4u3cCVn40VLNNLpMisGa6paWprhVaSaiG0UG4pYX401UVCusSXUREJC5Bia6kpCRcuXIFhw4dMjvu5MmTuHjxIlq0aGFXcK7g71/9S4T+l/mKigoEBjqubJ7InfA6IHIcsXsZucFCZ4Ld3qMZACCpSbjV97nn1ngHReMiVrxuQpKiUWHiJEEsvZ+6tW6Arq0bGGyPrlmdMkBAUs3VGsdUVwmpK5XkMt1fi319pDX/rzvJZXvIpLXPj3ZF4levDXTYORvXJHCNva/USX+Z1uvmI5dqEmu5N8t0eozpu36jdoX4hdMGWVxQQd89vS1/JhWXVUEhYIEHS1VoRERkHUGJrgcffBAqlQqTJk3Cjh07jI7Zu3cvJkyYAIlEggceeECUIJ1JPS0zKytLZ3tWVpbBNC6iuorXAZEj2N/7xVjiQ78CZ+5L/ew+j6N1alndLN9HLsXrT3TFs8PbGx035dFOmp/H601Rcjd+vsKSIeamLlrztdh9lw7wnMzr+8/einfG99T06NJfTfDOnvF49PZkPDCwuSvCczsyWe3zY+PinIKpk5CBRhJWfkYqtuQyKQL8fTSflfGNwkwe+6/tF+2K7Zn7az+3XniwA27t0NDouFFv/WvQ+N6Ua1rJNyIisp2gRNe9996LgQMHIjs7G08//TT69u2LsWPHYuLEiRg7diz69++P0aNHIz09Hf369cPw4cMdFbfDJCcnIzg4GPv27dNsKyoqwqlTp9CtWzcXRkbkPLwOiDyHOl/SsmkEVswaiiQP67F0a4eGuNtEtVb/zk00P9vbJDrATzcR5SMX9CuQRdbG98RdrQDYn8zST8qIxVwCTs3cmT2pwjA8xE+TdFVTLwQAVL9HRg5pWaemC9tDu+JN+31izWv+6uNdEBsVJPic6svKR274Ghh7XeQyKWRSiaaqyxGrZwJAz3bVfxBUX4e3dW2CwJqqs0b1dB9ncVkV3v56t862rLwSlJUbrnB6NUtYQ/qs3BJkG1ldkojI2wmuL//000+xYMECfPfdd8jKyjKo+AgICMCoUaMwefJk0VcucQZfX1889thjmDt3LqKjo9G4cWPMnj0bMTExGDJkiKvDI3IKXgdEnkcmk4ievKnLbE3I2JvH0bxGdh5I/3cssX7j0g5raJ8EZOWWYO/JDL2TW47HErlMgiqFa7Ji86f0R3mF8QqbFx/phAkP3eLcgDxEw+jaBI7Q66fPLY3Q55ZGGDpllaD7ab+vHh7UAr9uOKe5bayKUl11Fhrki8KSSvRqF4v6EYG4WVyOb/46KSxoE37/8B741CT9Fr5+G86m5cFHLtMkvcKC/XDthm5P4xMXcrBubxqGdG+G4tJKPP/RJgT6yTHy9mQM6dYUwQE+KCqtxNUsYRVdH/14AIH+csx4ppcoj42IqK4QnOjy8fHBxIkT8cwzz+DAgQO4fPky8vPz4e/vj/j4eHTu3BnBwc5vSLpixQpMmzYNS5cuRZcuXYyO2bVrFxYsWICzZ8+isrISbdq0wfjx49Gnj+5qRJMmTYJCocDbb7+N0tJSdO7cGYsXL/bI5vrkXXgdENV1hskER/5Naf6U/pg0e4vxnR5UuQOo+wsZJjcsJWgammiybuvzrk4QmGr6/sKDHZCWcdPicRxU0KXzukaG+msatdtwd7OaN4nA6dRcQccWS3xD09PZpFIJfKWureCaP6W/W/6x2NUxPX5nK51El7HeaeoE1OtPdsORc1lo2iAUTRuEorS8ymSiS+jD0q4kaxAVhAY1lWrqRJefjwxxsaFITa+9juNiQ7FgxTEkNgpDdn4pyisUiA4LwJe/H8Vf2y6gvGYFSO2pi3mFZTiXlocurWKwescl9O/UGOEhtQt4KJQqXLpegLAQVy3qQUTkvmzuGOrr64tevXqhVy/X/wXh8OHDePfdd82OUScAfH190aNHDyiVSuzduxfjxo3DjBkzMGLECM1YmUyGV155Ba+88oqjQycSDa8DIu/kSVPFHCkk0BeFJaZXhf1wQm8sX38O249cE3xcZ7qjZxwW/nms+oaZL+COSjpov5+EnMH90jLA/f2TND+HBrnujzQjh7REmIDzm0vEucLnrwzQ6c9liiM+i0yd9dn720FmJNsrr6mYjIsNRVxsqGa7r5lq19ce72pXjGrqeHx9ZPjf6G4YP3ODZt+0J7vija924sMf9qN1fBR8fWT47JX+OHgmC9/9fQqVNStAXqup6MopKMX/vtyJ69nFmPjwLfjmrxNYvy8NHzx3K8JqVqvNzClGRZUSOfmlqKxSCq7oPZOWi3rhAYgKM1xF9fDZLLz99W58+epANKlZtIGIyJPYnOjKzc3Fnj17cOnSJRQVFeG1115DeXk5Dh8+jB49eogZo1nr1q3D66+/jpKSEpNjsrKyMH36dISEhGDZsmWa1SCPHTuGMWPG4P3330f//v3ZZJs8Fq8DIu+l7pXj6moLIRyRm/vslf64nl1scn+zBqF49PaWghNdYtNUdJl7Eqx4goRWWllLu9LM1HvK3HvNnRKv6j5N7z7TE43ru+7L+qO3J7vs3GJoppUwqmX4Qve5pRGOX8jGk3e3Fu/kJt5qd/dOMLpdf+VMNZmR7U1iQnAlsxDJcRE2h6dNXdEll0kRGx2EAD85Smv6cEWG+eO1J7ri9S92YFPOFXRsUQ8+chl6tI1F11Yx2HcqAzuOXsfu4+nIyivBmwt2Ib+wHHKZBNsOXwUAXM4oxJsLduG9Z3shLNhPU/mpVAE38kvQMNr6GTUqlQpT529HZKg/vp9+u8H+w+duAAD2nEhnoouIPJLgZh6VlZWYOXMm+vfvjylTpuDzzz/Hd999BwC4fPkyxowZg+HDhyMzM1PsWHVkZGTg1VdfxcSJE6FUKhEdHW1y7E8//YSKigqMHj1a8+UeANq3b49x48ahvLwcy5cvd2i8RI7A64DIu3hQLsvposIC0C7R9Geg+7A+EyQxUyflqPeCTkWXiXMY3WwmnqQm4XZEJFyLprrnu6VFfUSHG1atkDjUvbt8fWR48ZFOiAjxF+3YQt/mphJdxkwf1wNvj+1utKJJ3339Ei2OqZ4eXVvZVaVQavb5yKRIjovEU/e2AVD9ntTcTyZFz3YN0T4pGpVVSrzy6TbkF5ZjxvieuKVFfRxPyQZQ3TPv+o0ivLlgFwqKypGWUdu4PjPH9B86jSkqrQQA5N4sM7q/QVQgACBD4HGJiNyFoESXUqnECy+8gB9++AFVVVVo2bIlwsJqy6uLi4shlUpx6tQpjBw5Enl5eaIHrDZv3jysWrUKbdu2xfLly5GQYPwvOwCwfft2AMCgQYMM9g0ePBgAsG3bNscESuRAvA6IiDyLqYqn+pGB6NKquqLWmlSYo1Zd1GYq0WU2PiMP8Lnh7Y0MM36U+IbGqoeEaZ/kmJX2yNB9/RKNVkuJRb96sGWzCJ0+VWoxkdWJGbkVUyxjIgPx2J3JiIkMRNfWDayKo0HN8c1RX5LSmhgUytr3uPo5Gto7AW+P7Y47e8UZ3F9ddVheqcCMZ3oiOS4SfTs2gvow7ZOi8dbY7rh+owhvLdyFkxdz4F/TkD8zV1hCKqtmfHiw8f5e6umRGTmmq2SJiNyZoKmLf/zxB7Zt24bExER8+umnSEpKwqOPPorDhw8DAG655RasWbMGzz//PFJSUvDNN984rL9PQkICZs2ahXvvvRdSqel/YFUqFVJSUiCVSo0mAeLi4iCVSpGSkgKVSuVRUz+IeB0QkSNninn6Z0G/jo2xtWbajza7pteJNDdP/zDfvDHYYIy5p99RUxcTG1nuD2XszOr3irFnx1gvJVNmTehjeZCVPPzt6xEc/Rmhf/RPJvU1Om7WhN5IuZJvVTxfTxskPFFsxXHVySz1+10ulaBCqXtFSCQSk8m1pCbhGNC5Me7pnYAWTaunU3Zv0wC+cikqanp43dKiPt54qjve+3YvLl2/iS6tYnDkXJbghFRWXikAoF6E8Wo29aNloouIPJWgP8H88ccfkEgkmD9/PpKSkoyOadKkCT777DNIpVJs2rRJlCCNGT9+PO677z6zX+4BoKCgABUVFQgPDze6WpxcLkdERARKS0tRXMwPc/IsvA6IvIvR71oqM/u83CuPdda5Le6XcvuOZWrVRWsZq2oRg25Da4nxOLUe+uevDNDZZCwPKOSRBvjV/g1Wfwqit4oO80eCFQlIbxYVFoDubWOtGuuoakh18ln9f6GVbn4+Mrz8aGdNkgsAAv190LmVbu/UTi3r480x3eEjl6JlswjERAYh5Wq+2WOXlFXii9+P4mZx9YIdN/KqK7rqW6hUUyfEiIg8jaBP4PPnzyMhIQGJiebnqcfFxSEuLg5Xrxr+FdXZSkurP6ADAkzPv/f3r+4lwC/4VFfxOiCqw2q+s8ktJLzJ9HQ5Z7qjZxwA84Vh1sTZICpId4NYSTyt41hzSHWjckckWt99xrqVvdskRIl/cjey5O3b8enL/V0dhmu4OIHfJKa6wbs172/1ypTqRFqISCt99u3YSOe4ANApuT6+eWMwHhjQHLd1bYKj57Nx8mKOyWMcOpuFNbtTsWBF9Yqu6gRWaKAv8gvL8fFPB0xOf3SHz00iIqEE/VasUCgsVo6o+fj4QCaT2RSUmKyJlx/gVNfxOiCqu1rHR+G+fol4cWRHUY8b5C/XNCQ2xhs/MX4wsjqZUEE1KwFaw9VFerad37p3hjWjAv2te66saRRO4nLWrwxiTtHt0Fz4YhXhwdV/BLTmvagf67vje+LW9g3x6uNdBJ9XW8+2sXj+wQ5on6Qbf0SoP3zkUgztk4CIED/8vO6MyWME1cR/6Ez1YmFZebVJrc9/O4Jth69hz4l0o/fNKyy3K34iIlcQ1KOrSZMmuHTpEnJzcxEZGWlyXHZ2NlJSUsw2xnaWwMDqX9LLy01/SKv3mat2IfJkvA6IXE+c72uGB5FKJBh7b1sxDq4hk0rwy/t3i3pMW/nIpaisUloeaAV7py5GhOquJte3YyNsO3zNpmOZ++OCK5OI+s+QsZUfja8GWdOjy8nB//LeXYKShyQuRydjxZxuPH1cT1RWKQTdZ8SgFujbsRH63tIIs5ceNDtWvxddw3rBeP3JroLjNDiuTIo7aypBjfH3leO+folY8vcpnL+Sh+ZNIgzGqBvjF5dVoaJSoUl07T2Zjtyb1b//XbxWYPT4GTnFiAwVbyVNIiJnEJTouv322/H555/j7bffxty5c+HjY/iLRUVFBd544w0oFAqjq7s5W3BwMAIDA5GXl4eqqirI5boPuaqqCnl5efDz80NoqP0r/RC5I14HRKTWKbk+Dp3Jcug5Oraoh8PnbohyrAWv3Yb0bPecUv3SyE52JLpqf37+wQ7GB7m68ZrEeC+xji3rYdW2C7pDXV1+RnWSmO8rH7lUrwedFffxkWqmGz//YAfEx5r+HckZK6GackfPOPy68TyWrz+HBwY0x/XsIlzPLsb1G9X/T88u0ow9cTEHWbnVUxdzb5ajfVI05HIpLl4rwPINZ3HwdJbOdOCMnGK0jq/b04OJqO4R9Gk/ZswYNG3aFBs3bsSwYcMwZ84c3LhR/Yvshg0bsGDBAgwdOhRbt25FgwYNMHr0aEfELIhEIkFSUhIUCgVSU1MN9l+6dAlKpRItWrRwfnBETsLrgIjU3nm6p8Ux9n65nGFlbyVr1I8MRIcW9UQ7Xi3bSo+07yW3stn0E3e1MrvfoFrDTeaFGq/cgqYxeniwYUN8dwjd3afifz51AN4Y083VYXgER60uai3ta+DOnnFIjjM9o8WVia5Afx/cfWs89p7MwKufb8e8Xw7j903nceFqAcJD/HBb16YYf187yGUS7Dp2HYUl1U3pg/zlmPxIRyQ1DsflzEKs3HIBp1Nz8fum85pjZ+TUTnNUKlVYtvYMjor0hwwiIkcRVNEVFBSEJUuWYMKECTh9+jQWLVqk2Tdx4kQA1b9cNGvWDF9++aXbVIb06dMHx44dw4YNGwxWi9ywYQMAoF+/fq4IjchpeB0QeabIUH/07dgIK7deYNWMnree6o53v91r1zFsfU6F3C/Qz/DXLaUVyRhBsYmU3NE+p6nzBwdUN9l+9I7k2rFCTyRSLsoTr4lmDULRrIF7/I5sK2elEl2ZPAKEvb/UUxfFXd3Veg8NbI76EQGICgtAbHQQYiIDDZLx+09lYOuh6sXCEhqG4cm7W6N+RCASGoVBqVShqLQSrz7eBacu5mDPiXTcLKlERk51Ra1KpcKiVcfx945L6Na6geh/gKisUuJGXgka1gsW9bhE5J0EL9HUqFEj/PHHH5g3bx6GDh2KVq1aoWnTpmjZsiWGDBmCmTNnYvXq1RZXZnSm4cOHw8/PD4sWLcKJEyc0248fP47FixfD398fjz76qAsjJHI8XgdEnunhQS0wqGtTMyPMf+X87JUBePcZy1VcnqhbmwauDsEr+cilWD17mPG+QW5eTUWexeWJTAHnd3VSzt9Pjtt7xKFLqxg0qhdstOK0c6sYlFVU9yl7dnh7dEquDwBIVFdphvihV7tYPDO8PZa8fTtaNA3XVHT9uuEc/t5xCUH+cqRczbMYz4Z9l/H2wl1QKq37TFi5NQUvfLwJ2fmlVo0nIjJHUEWXmlQqxR133IE77rhD7HgconHjxnjttdcwY8YMPPLII+jRowdUKhX27t2LqqoqzJo1C1FRnHtOdRuvAyLPZU/qIC42FDDTV4ZcxMyL6tJm9FqZBQmA+Ngwa+9oeh9zX2Qj109ddM59nKVzcn0sXlX9c/3I2sWHYiIDUT8yEAM6NYZMK0HWIDIIB89k4r/dqfhpzRkM6NwYiY3DsXjVCeTeLDPZpH738XR89uthKFVApUIJP6nMYmy7j6ejSqHClkNX8eDA5vY9UCLyeoIrujzVqFGjsGDBAnTo0AEHDx7EiRMn0KlTJyxZsgTDhg1zdXhETsHrgMgDaVXIuPMXKE/i7LzLgC5NbLqfy19viQQtm1Wv4Na4vnXTibSf28TGVibJyGM5Og/l6iopIdMQPaGYsVG94JopjRJEhNQmqSQSCRa8NhCP3p6sM75BVCDyCsvx1R9H0aVVDCaNqO7nBQApV/KNnuPkxRx8/NMBzZvDmp55eTfLcL7meJsOXHH7PntE5P6squi6cOECjh8/jrvuugu+vr46+37++Wf8+uuvSE1NRUREBHr37o2nn34aTZrY9kudrX788UeLYwYMGIABAwY4IRoi1+B1QERi0P6OERzgg6LSStcFIyJXfWUO9Ddcpfr2Hs1w9rLx6T82fclzUMbB2lgEn93lWTzHCfS3acKE12sdH4lTl3J1trmq31Xt+V16etFJJBLc1qUJTl3KNUgi+sgNq64aRAUBAJKbReK1J7pALpMisVEYgvzl+PG/02iTEIWggNrPt9T0m3j3272oHxGIHm0b4I/NKVYlAA+eyQQA3NkrDv/tSsWFqwVIahJu+wMlIq9ntqKrtLQUkyZNwj333INp06YhMzNTZ//rr7+OGTNm4MyZMygtLcX169fx66+/4sEHH8TBgwcdGjgREZG3EOOv2+OGtUV0eIDlgXoWvH4bvphamxx/YECS3TFFhVVXEsQ5eUqlGDUCYhUaqL9AmuVGX/IthSKRAEO6N8MHz91q3cHraMHGgtdvw9fTBrk6DI9yZ684AEDDaMOqQRcXdJlcedQYhUIJAJDL3XvCzMjbk/Hus9atjNu5VQxGDG6Bt8d2h79vdQLX30+O157oiiuZhfjgu32orKp+3Fm5JZj+9W74+cgwY3xPhNWsymrNvxX7TmUiOswfj9/ZCnKZFJsPXrHx0RERVTP7Sfzcc89h/fr1UKlUaNy4sc4H1b///ouVK1cCAOLj4/H555/jl19+wZNPPomCggK8/PLLKCoqcmjwRERE3sSe6oZhfROx5K0hgu8XFuyHplorxMVYk6CxILlZJD6Z1AcjBre0+1iu4sjv3+qEZGiQr4WRjiXkMUokEkx8+Ba0TYw22Keqq1ktIxrVC9Z8wa/LHDG1zNj7xNVTF4VcBBU1CR8fI03gPVVwgA8eu6MVggN1P4s6tqyPSSM64lhKNuYvP4yConK8/fVulFdU4Z3xPVE/MlCTHLf0VqmsUuDIuSx0ad0AIYG+6N6mAbYevoqqmsRh9TFUuJHHJvVEZD2TtdUbNmzAnj17EB0djdmzZ6N79+46+7/88ksAgJ+fH7755hvExsYCAG655RbI5XJ8++23+PXXX/HUU085MHwiIiLvJub3zfH3tcPXK4+Ld0AzWjaLdMp5tLnTLCRzyZ+HBjZH4/rB6NUu1okRGSGRoF5EIADg4dtaCL+72PFQnaR+nxj7LHP51EUBY9WVTT5uXtElloFdmiA7vxQ//ncah85mobS8CjPG99RU6qoXEvh0+WG0TYxC6/goxMeGaprdK5UqfP7bEcREBqK0XIGurWIAAAM6N8bOY9dx6GwWurVugNLyKnz6y2HsPHYdM5+/1WgynYhIn8lE17///guJRIK3337bIMl14cIFpKSkQCKR4J577tEkudTGjRuHJUuWYP369Ux0ERERwfYv/QFO7PczuHtTfL3yuNFpau2TonEsJdtpsTidGzU/lsmk6N2hkavDQL+OjRDgJ8fq2Z65WImrkyRkP5cXdAl4D1VWKQB4T6ILAB66rTmyC0qxdncqXn+yq04SqnvbWJy9nIdTl3Kx+3g6ACDAT4aWTSPROj4STRqEYP2+ywAAX7kU7ZtX37dTcgxCg3yx6cAVNKkfgveX7MWVzEL4yqVYuzeNiS4isorJ356PHj2K4OBgDBliOM1h+/btmp8HDhxosD8iIgLNmjVDWlqaSGESERF5n/H3tUP/Tk2QlnHT1aFgxjO9oFKpNF9M6gpXfY92o7yaScaa6ItFXdEWHR6A7HxOSSJT3KdPnSW1FV2GTd3rKolEgueGt8eo25MNpuzGRAZi6mNdAABZeSU4fSkXp1NzcepSDn5ef1bnM7BdUrSmB5iPXIq+HRth7Z40HDl3A1IJ8H9P98Tu4+nYuP8ynr2/vU4DfCIiY0wmunJzcxEXF2d03759+wAAUqkU3bp1MzomJCQEV69etT9CIiIiLzW0T4KrQ9CQSSVw9ZdOe8VEBqJnu1g8dFtzTJ2/3fIdSBTmknosuiJzpB5UHNU2IQort15AqzjnT8t2JYlEYrEvXf2IQNSPCES/To0BAMWllTiblofU9JuIiQxEYuMwnfG3dWmKv3dcQqN6wXhjTDc0iApCUIAP/tudiu1HruGOnnGOejhEVEeYTHRJpVJIjfzrolKpcPDgQUgkErRu3RrBwYYrpABATk4OwsLCjO4jIiIi63lC9Y8nkMmk+N9ovT/Q2ZlpkUklUChteIG84TUV+Nw+PaytgwIhd3Nnzzj8tzsVgPnFF5o1cO7KrPqkAt7D3dvG4pf37mK1kRWCAnzQKbk+OiXXN7o/qUk45rzYF03qh8Dfr/rravMm4WjaIAQb9l1moouILDL5d5KYmBijFVmHDx9GQUEBAODWW40vIZ2eno5r166hfn3jH15EREQknLHvXI7IlzCxZr0f37kD30+/3dVheHitHfDq411wb99EwfdjHy7XsvX5f/7BDpqfh/dPwmtPdEHvDg012z59uT/6d2qMji1d/F1C4MNjkks8zZtEaJJcQPV7bXC3pjh7OQ/HU7KhtOUPDETkNUxWdPXs2RPLli3Dhg0bMGjQIM323377TfPz7bcb/8Xu22+/hUQiQY8ePUQMlYiIiByJSYNaLz/aCb7meu3UPFchgYZVKGSZOpmqecfxO6vXUi++cDYtV7MtoVEYpozq7MKoqvET0b10a9MA3/x1Ev/7aifkMinqhQcgtl4QnrmvHRrWMz7LiIi8k8mKrpEjR0Imk2Hq1KlYunQpjh49ivnz52PlypWQSCTo0qULWrVqZXC/n376CUuXLoVUKsWwYZ65Sg8REZE7USdTWsdHuTgS7zGgcxPcqlVhIrbYekEOO7ZHcUBylRWJnskdXzYm/91Lw+hgvPdsLzxzfzvc2ycBzZuE42xqLj766YBmMQAiIsBMRVdSUhJeeeUVfPjhh3jvvfc021UqFSIiIvD+++/rjP/www+xadMmXLlyBSqVCqNHj0bLli0dFzkREZGXqBcRgC+mDtD8xfqh25rjt43nXRKLu33tmzKqMyIsNEJ2R1FhAa4OweFc/V5x9fnrMiYTyVU6NK+HDs3raW7vPn4dH3y3H8vWnsGTd7d2YWRE5E5MJroAYPTo0YiPj8fixYtx+vRpyOVy9OzZEy+//DKaNGmiM3bLli24fPky5HI5nnzySUydOtWhgRMREXmTplpNmZ+4qzVuFldg7Z40F0bkHvrXrOJFRM4ntODppZEdEejvOX2sWNDl/nq2a4jbezTDH5vPo1PL+miXFO3qkIjIDZhNdAFAv3790K9fP4sHeuSRR6BSqTBkyBA0atRIlOCIiIjI+fjljhxNXRAUFeqPrNwSBAZY/JXUKPVbNcBPhtJyhSixkeMM7NLU9E43rBITsuoiuc64e9vixIVszPn5ED6b0h/B7J1I5PVs+63CiNGjR4t1KCIiIrIgsXE4gDQ0jHb/Xk/1IwKQlVfq6jDIRVRm5rk9eXdrZOaWoJOdq+t9PW0wHv+/NXYdg8gA81wewd9PjimjOmPq/O14Zf52JDYKQ1R4AKLD/REdFoDo8Or/woP9IJXyRSXyBqIluoiIiMh57ujRDG3iI3WmNLqrTyb3xdWsIleHISp+VbLMmmIYH7kUA7s0sTzQgvAQz+vT5slUDii/cse+XxJe6R6jeZMIvPhIR6zbexnnr+Zj94l0gwb1MqkEUWH+iAoLQL3wAINkWMN6wQgO8JyptURkGhNdREREziDyFBiJROKwJJfYXzgjQvwREeIv7kFJB2dYEYmP15Vn6d+5Cfp3rk6cq1Qq3CyuQHZ+KXIKypBdUIrsfPV/ZTh/NR97TqSjQisZ5ucrw4uPdETvDmzDQ+TpmOgiIiIiAKxSIg9k5E3rhoVBRORkEokEYcF+CAv2Q6KJNUvUybCcgjJk55fi903nMeuHA8i+twz39Ut0bsBEJCqpqwMgIiIiz+OO04yE8PDwDbjz62E0NCcEzGocz+KI6ZD2kvBNVKepk2EJjcLQrU0DvP9cL7RNjMLq7Resuv/+Uxk4fyXPwVESkS2Y6CIiIiKrCf3e17+ziT+luwlrHk7j+sFIahzm8FjqGmv6GzGP4JmaxoRU/1/E6dOxbriwBt+e3sVHLkOruEhkF5RBoaie0njtRhFenLsF364+iSuZhTrjv155HK9/vgP7T2VYfY7Tl3Jx/EK2qHETkSFOXSQiIiKHmfJoZ1eHYLevXrtN9GPyCzR5sp7tGmL+lP6IixUv0eWOffxY0eV96kcEQqlUIedmGepHBGLb4Wu4cLUAqddv4s8tKWjZLAKDuzVFn1saQakCKqqUeH/JPrw0shP6dar+w87ljJuY/+sRTH2sC2IiAzXHzrtZhne+2YMm9YPx8aS+rnqIRF6BFV1EREREApn6/hsZytX/nImJCNeJbxhW55//Ov7wyIj6EdWJqRt5pQCAo+dvIKlxGJa8PQRPDW2DkrIqfP7bUTz+f2uRW1CKHm0bIDkuErOXHcR/u1MBAFsOXcXZtDx889cJnWMvWnUCxaWVULrzXHOiOsKmiq7y8nLk5+cjJiZGs23Tpk3466+/oFQq0bdvXwwfPhxSKfNoRERE7qptYhROXMgx2M4vd7b58f/ugK8Pf/cxYOQ7Hb/mkSfgZ6H3qRcRAADIyitBfFkozqTm4r5+iYgI8cf9/ZNwX79EnL+Sj/X7LmP74atIaBiG4QOb48Pv9+PL34+iuLQSh89mQSaVYPfxdBw9dwMdWtTD/lMZ2H7kmuY9VVZRBV+5DFIp32REjiA40bV06VLMmTMHd9xxB95//30AwG+//Ya3334bQPXqFevXr8fGjRvx1VdfiRstERERkZsKD6kb1VxzX+wnzmOx4vubNX28bMWiCSISqn7NVMOsvBKcvJgDhVKFji3qa/ZLJBK0aBqBFk0j8PwD7TVVjf8b3Q1zfz6E7/85BQB4eFALbD10FV+vOo5ZE/rgqxXH0CQmBBEhfiguq8RD0/5Bu8RofPD8rc5/kEReQNCfHXfu3Il3330XxcXFKCysbsZXVVWFOXPmAAB69uyJiRMnIjo6Glu2bMEff/whfsRERETkUEwQeB4xK0+SmoQjOjxAvAM6GesjSCx1fWomGfLzkSE82A838kpx5NwN+MqlaBUfaXSs9vvDRy7FlFGdcXuPZpBKJejdoSHG3tsWlzMKMXX+NtzIK8WEhzpALpdCoaj+R/ZMWq5THhORNxJU0bVs2TJIJBK89NJLGD9+PABg9+7dyMvLQ1RUFBYuXAgfHx8MHjwYw4YNw8qVK/HAAw84JHAiIiKyj341Db/TUV3APC2JhR+J3qleRACyckuQc7MMrROi4Osjs+p+MqkELzzYAY/f2QphwX6Iiw3FLS3q4ci5G7izZxxax0c5OHIiUhOU6Dp69CiioqLw9NNPa7Zt3boVADBgwAD4+PgAAFq0aIGmTZvi3LlzIoZKRERERJ4isVEYzqblISTI12CfWFWD5hIRrk7czhjfk02nPR0zXV6pfkQgjl/Ixs3iCgzs3ETQfSUSCcKC/TQ/v/BgB/y1/SJG3Z7siFCJyARBia6CggIkJyfrlGlu374dEokEvXr10hkbHByMa9euiRMlERERiU5lR+2Lysu/wHNKk2XjhrXDbV2bolG9YNODbHwa5TIpqhRK2+7sJB1b1rc8iNyalNe5V6oXEYCbxRUAgFta1LPrWA2igjD+vnaa21KJRPPZVVmlxI28Uk0DfCISj6AeXfXq1UN+fr7m9pUrV5CWlgaJRIIePXpotisUCly9ehVhYWGiBUpEROTJ3PHrkm2NwN3xkZA78pFL0aJphKvDICISpH5EdUP6kEBfxDcU9/tsZKg/CorKNbfHvb8O7yzeg93Hr7t98p7IkwhKdCUkJODq1as4ePAgAODXX38FAHTo0AGRkbVN+pYsWYKCggK0bdtWxFCJiIiIiAB24iJnYOWmd6pfU2HVoXk0pFJx3wPR4QEoLKkEAAzu1hQP3dYCF68V4IPv9mPMu+vw3d8ncf1GkajnJPJGgqYujhgxAjt27MDYsWMRHx+PM2fOQCKRYNSoUQCAixcvYubMmdixYwckEgkeeeQRhwRNRERE9jP1Hc4rvtt5+dTLusIr3qvkMnx/eaeGNdOtOyeLP/24Xri/5ueYyECMGNwSI4e0xMGzWVi3Jw1/br2APzanoG1iFG7v3gw92zeEn5XN8ImolqBE1+DBg/Hyyy/js88+w+nTpyGTyfD444/jnnvuAQCUl5dj+/btkMlkmDZtGgYMGOCQoImIiIjEIKv5a31ynPHl4x3F679AW5lnfOb+dppeOUTO5u2XqbdqEhOCD1/o7ZB/F6LDDftxyWRSdGvdAN1aN0DuzTJs3H8Z6/amYfayQwj68zieGtoGQ7o3Ez0WorpMUKILAMaPH48RI0YgNTUVjRo1QnR0tGZffHw8Xn75Zdx5551o0kTYChVERETkHsQodnpgQBL+2Jxi/4EcTC6XYt5L/RAbHeTqULySpUTCPb0TBB/T2xdKIBF5fUbae7VJiHLIcY0lurRFhvrjodta4IEBzXHiYja+WXUSP689g66tYrBmdypaNovELS3qiT6lkqiuEZzoAoCwsDB06NDBYLu/vz/Gjx9vd1BERETebHj/JJy8mOOCM4v3i/Poe9pg9D1tRDueIyU2Dnd1CCRQh+b1cPBMloUeSvwiSPZhLoHEZinRpSaVStA+qR5u69YEi1aewOQ5W5BXWN3EvkFUIO7oEYdB3ZoiLNjPkeESeSybEl3l5eXIz89HTEyMZtumTZvw119/QalUom/fvhg+fDikUkG97omIiAjAmKGekSDS9+aYbjh/Jd/VYZAXeP2JrriRXwq5jL9r1iUfT+oDpZIVeVR3+fvKERLoo2lIb0mrmumTMqkEH0/qg6zcEvy7KxXf/XMKP605g94dGuLOXnFoFRfJxROItAhOdC1duhRz5szBHXfcgffffx8A8Ntvv+Htt98GUF0uvn79emzcuBFfffWVuNESERGRaMT+nbh721h0bxsr7kGpTurcqj4uXi9AeIht1Qj+fnI0iQkROSpyteRmzu2VZwkTB+QI2isvWpLUOByvPdEFbeKjEBHqj+RmkejbsTHSMm5ize5UbDpwBVsOXUWDqEDMfbEfggN9HRw9kWcQ9GewnTt34t1330VxcTEKCwsBAFVVVZgzZw4AoGfPnpg4cSKio6OxZcsW/PHHH+JHTERERC7D730khlF3tML3029HVJh103iIXIEfd+QI1k5fBKqTrb07NEJEqL/O9mYNQvHM/e3x/du3o2e7WGTklGDkW//h6Q/WY/X2iyivVIgdNpFHEVTRtWzZMkgkErz00kuaXly7d+9GXl4eoqKisHDhQvj4+GDw4MEYNmwYVq5ciQceeMAhgRMRERGRZ5JJJYjU++JG5HaY6SIHiBYxwe/vJ8fUx7rg4JlMXMksxIHTmfh65XEs33AWfW5phEFdm7IPJXklQYmuo0ePIioqCk8//bRm29atWwEAAwYMgI+PDwCgRYsWaNq0Kc6dOydiqERERCS2QH85SsqqXB2Gw3RtHYP9pzJdHQYReSBOXSRHEFLRZQ0fuRQ92saiR9tYPDiwOY5fyMbfOy5hze40/L3jEjon18cjg1siOc69pgYTOZKgRFdBQQGSk5N1PvS3b98OiUSCXr166YwNDg7GtWvXxImSiIjIw7nj9yUJJPjmzSGo0Jvi4I6x2mrak11RVGpdLxRPJmNTdiLR1aGPQnIjYie6tEkk1as1tk+qh6LSSvy36xL+3HIBUz/bjlua18OLIztyyjh5BUG/FdWrVw/5+fma21euXEFaWhokEgl69Oih2a5QKHD16lWEhYWJFigRERGJLzjAx2AKmaoOLXrmI5chIqTuT5Hz85G5OgSiOocVXeQI9RyY6NIWHOCDh25rgW/eHIwx97TBqdRcLFp1wujYnUev453Fe9jbi+oMQYmuhIQEXL16FQcPHgQA/PrrrwCADh06IDKythRyyZIlKCgoQNu2bUUMlYiIiBzJm77T1aFcHpngTe9ncgy+h8gRHFnRZUyAnxzDByThwQFJ2Hn0OhasOIaFfx7DghXHcOhMFpRKFc6k5eLA6UwsWX3SqbEROYqgqYsjRozAjh07MHbsWMTHx+PMmTOQSCQYNWoUAODixYuYOXMmduzYAYlEgkceecQhQRMRERGJwVXfY1kpQuT+eJWSI0SH+yPAT4ZAfx+nnvf+AUnYfvQa1u5Jg5+PFAqlCv/svISG0UEI8K9OC/yz8xI6tayPbm0aODU2IrEJSnQNHjwYL7/8Mj777DOcPn0aMpkMjz/+OO655x4AQHl5ObZv3w6ZTIZp06ZhwIABDgmaiIiIRMBvcUREpjEhTQ7gI5fhs1cGIiLEz6nn9feV48tXb9PcrqxSYuex6/hnx0WcSctDUIAPYiICMe+Xw/jslf7s5UUeTVCiCwDGjx+PESNGIDU1FY0aNUJ0dLRmX3x8PF5++WXceeedaNKkiaiBEhERkbjs+QpXl/p4EREZwzQXOUpMZKCrQ4CPXIr+nRqjf6fGSLmaj4pKBUICffHi3K2Y+/MhvDO+F2TS2qugpKwSy9aexYjBLRAS6OvCyIkss2mJnrCwMHTo0EEnyQUA/v7+GD9+fJ1Mci1cuBAjR450dRhELsXrgIi8/Yvf9HE90LNdrKvDICInYEEXeYukxuFoHR+FJjEhGH9fWxw9n40X52zBobNZmjHnr+Rj1bYL+H3jeRdGSmQdwRVdatu3b8eWLVuQmpqK4uJiBAYGomnTpujduzduu+22OtV7YunSpZg7dy46duzo6lCIXIbXARER0KVVDLq0inF1GF6rXWI0jl/IdnUY5CXq0vcZImsN6d4MQQE++O7vU5j+9W50bFEPY4a20ez/Z9cl3N8/CeFaUy+VShWUKhXkMpvqaIhEJzjRlZOTgxdffBEHDhwAAKi05i7s3r0by5cvR8eOHTF37lzExHj2L4KZmZmYPn069u7di/j4eFeHQ+QSvA6IvAenI5K7e2tsd9zIKzE7hu9jz5DQKAy392jm6jCMmvNiX+w5keHqMIhcQiKRoHeHRujepgH+2ZmK5evPYvKcLUhuFgkAKK9Q4M8tKTrJryV/n8TKrRcAAKtnD3NJ3ETaBCW6ysvL8dRTT+Hs2bMICAjAkCFD0Lp1awQGBqKoqAgnTpzApk2bcOjQITz77LNYvnw5fH09d/7uyZMnERQUhL/++gtffPEF0tLSXB0SkdPxOiCqu1itQJ4mwE+Opg1CrRrLt7d7+/Tl/q4OwaTmTSLQvEmEq8MgcikfuQz39UvEoK5NsHzDOfy94xIAoGF0kE5Vl0KhxKYDV1wcLZEuQYmun376CWfPnkVycjIWLlxotGIrIyMD48ePx5kzZ/Drr7/iscceEy1YZxs4cCAGDhzo6jCIXIrXAZH3YGLAM425p43lQURERDYIDvTF2Hvb4u5b47H/VCbaN4/GpE8244/N5zH23rY4fiEbN4srXB0mkQ5Bia5//vkHUqkUn376qclpiQ0aNMCnn36Ku+66C6tXr3bLRFdaWhqGDBlicv/GjRvRuHFjJ0ZE5Hy8DojI6zvLO9Hou1tD6aA5dcMHJDnkuERERGoNooIwtE8CAKBfp8ZYufUCbhZXoLxSAX9fGcoqFC6OkKiWoETXpUuXkJSUhGbNzM+nj4+PR1JSEi5dumRXcI7SsGFD/Pvvvyb3e3pvMSJr8Dogci5OE/RuDwxs7uoQiIiIRPH8gx0QHR6AP7ekoEqhQt9bGkGhUuFyxk1Xh0YEQGCiS6VSQSaTWTVWJpOhsrLSpqAczcfHB4mJia4Og8ileB0QEREREZFQ/r5yPHFXa9zWtSn+3JKCu2+Nx/IN56BUcjUQcg+C1v9s2rQpzp8/j6ysLLPjMjMzkZKSwmlPREREbsyeGjMVPPuX2bqwMt/IIS0x/r52rg6DiIi8VKN6wZjw0C2IbxiGhtFBuHajGB//dABFpe5Z8ELeQ1Cia/DgwaiqqsLUqVNRVFRkdExRURGmTp0KhUKBwYMHixIkERERuYc6NwPTgx/Qo7cna/qlEBERudKo25Px2B3J2HH0OiZ+shlbDl7BWwt34eK1AleHRl5IUKJr9OjRiI2Nxb59+3DHHXdg1qxZWL16NTZt2oS//voLs2bNwh133IF9+/YhNjYWY8aMETXYFStWoGXLljhw4IDJMbt27cITTzyB7t27o1OnTnj88cexfft2UeMgciVeB0QkFv2+YXWhyonI06sNiYg8kUwmxYjBLfHxxD7wlUsxe9khHDl3A5PnbMH1bONFMkSOIqhHV0hICJYsWYJnn30Wqamp+O677wzGqFQqxMfH44svvkBISIhYceLw4cN49913zY5ZsWIFpk2bBl9fX/To0QNKpRJ79+7FuHHjMGPGDIwYMcLm83/44Yc235dILLwOiEhMT97d2tUhEInmvWd7Ia+wHOev5NVs8dxqPSIiT9WiaQTmvdwfc5YdxJ4TGQCAtxbswqwJfRAdHuDi6MhbCEp0AUBcXBz+/vtv/PPPP9i6dStSU1NRXFyMwMBAxMfHo1+/frjrrrvg4+MjWpDr1q3D66+/jpKSEpNjsrKyMH36dISEhGDZsmVo0aIFAODYsWMYM2YM3n//ffTv358ryZHH4nVARGKLiw3Vue3Bs/iI0KF5PQDQSnQREZErBPjJ8caY7igrr8LVrCL876udeGvhLnz4Qm+EBfu5OjzyAoKmLi5duhR79uyBXC7HsGHDMGfOHKxYsQJr167Fn3/+iTlz5mDYsGGiJbkyMjLw6quvYuLEiVAqlYiOjjY59qeffkJFRQVGjx6t+XIPAO3bt8e4ceNQXl6O5cuXixIXkTPxOiD6//buPK6qOvH/+Pte4LKIiguSiqGIkEUauGCuuTY1uY6WW46lY7m02LdS2xw1baxvU47zaxnRmkwns5y0tHKpydxwQxE1BVFMi8UEVEDW+/vDL0wGKAj3Hu69r+fjweMxnHPuue/LfD6P5M05nwMAAABH4+XprpAWfnppQpTSzudo9pKdyrqUZ3QsuIAqFV3vvPOOJk+erAsXLtgqz1XefPNNrV27VuHh4Vq1apWCgytecLVk/aF+/fqV2VeyKP7WrVttExSwIeYBAAAAAEcV3rqxZo3vrNMpF/X037bqdIp9+gS4rioVXVlZWWrVqpXq1at3/YNrQHBwsBYuXKjVq1crLCyswuOsVqsSExNlNpvLLQFatmwps9msxMREWVlpFw6GeQAAAADAkXVsG6BXpnTT5fwiPbP4e+09mmp0JDixKhVdbdu2VXJysjIy7LP2waRJkzRkyBCZzdeOmZWVpfz8fPn5+clisZTZ7+7urgYNGig3N1fZ2dm2igvYBPMAQG1EXw4AAKoiLKih/vpEL93UsI7mLd2lz747wR/gYRNVKroWLFigunXratSoUVq9erUSEhKUmZmp3NzcCr/soeR9vL0rfoqDl5eXJPELPpwW8wCAfbBiPWq3Fk2uPPX7pkY+BicBAPyWfwNvLZzWXVHhTbV0Xbz+vvqgCgqLjY4FJ1Olpy4++eSTMplMSk5O1ksvvXTd400mk44cOXLD4Srrele6SKIphtNjHgAAIN3dJUitmtVTWFBDo6MAAMrh5emumeM6acXXP+jjzcf107lLmjmuE09kRI2p0hVdCQkJ+vnnn2W1Wiv1VVxsn2bWx+fKX+zy8ip+gkPJvmtd7QI4MuYBgOoyma5crdUrMtDgJMCNM5lMlFwAUMuZzSY9eE9b/c+YDjqWnMEi9ahRVbqia8uWLbbKUS2+vr7y8fFRRkaGCgsL5e5+9ccqLCxURkaGPD097baQPmBvzAMA1eVmNmnlvHvk41mlfx4AAADckLsiA9W0kY9efm+3nln8vZ4Z21Ed2wYYHQsOrkr/km3evLmtclSLyWRSSEiI4uLidOrUKYWEhFy1/+TJkyouLlZoaKhBCQHbYx4AqAl1fco+zMKZseIYAADGKlmk/uVlMZq3dJceGhiuwT2DS680B6qq0rcuXr58+Zr7t2/frszMzOrmuWE9evSQJG3evLnMvpJtvXr1smsmwN6YBwAAAAAcDYvUoyZdt+i6dOmSXnnlFXXr1k0pKSnlHlNYWKjHHntMvXr10vz585WTk1PjQa9n2LBh8vT01JIlSxQfH1+6/dChQ4qOjpaXl5dGjx5t91yAPTEPAAAAADiikkXq7+8Xqo0xyXrx3R3KulTx+sNARa5ZdKWmpmrEiBH64IMPlJ2drd27d5d7XFJSkvLz85WXl6cPP/xQw4cPV3p6uk0CVyQwMFAzZszQpUuXNHLkSE2cOFETJkzQqFGjlJ2drblz56pRo0Z2zQTYG/MAAAAAgKP69SL1x09fWaQ+5Zdso2PBwVRYdBUXF2vKlCk6efKk/Pz8NGPGDPXs2bPcY0NDQ7V792698MILqlevnpKSkvTYY4/JarXaLHh5xowZo3feeUft27fXvn37FB8fr8jISL333nsaPHiwXbMARmEeAAAAAHBkd0UGasGUbsrOLdDM/7dNZ9IuGh0JDqTCxejXrVunw4cPKygoSMuXL1eTJk2ueSIfHx+NHTtWvXr10ujRo3Xw4EF9+eWXuvfee2ss7PLly697TO/evdW7d+8ae0+gtmEeADAS68ICAAB7uCWooeZP7qYX392hWW9t18uPdlXQTTw9HtdX4RVdX3zxhUwmk55//vnrlly/1qJFC7344ouyWq1at25djYQEAAAAAACupVWz+nplSneZTdJzb21X0tksoyPBAVRYdB09elT16tWr8HbFa+nfv7/q169/1WLYAAC4usAmvnpyZITRMQAAABxGi4C6emVqd1k83PTc29t1/HSG0ZFQy1VYdGVlZal58+Y3dFKTyaQWLVooMzPzRnMBAOB03p7RV3073Wx0DAAAAIfSrLGv/jK1u+r6eOiFd3bocNIvRkdCLVZh0eXl5VWtourixYuyWCw3/HoAAAAAAABJCmjoo79M7a6G9Tw1e8lOHUxINzoSaqkKi67g4GClpqbeUNmVkZGhs2fPqmnTptXJBgAAAAAAIElqVN9br0zproCGPpobvUv7fkg1OhJqoQqLru7du6u4uFjvvfdelU+6fPlyFRYWqkOHDtUKBwAAYEs8RRIAAMfSoJ6XFkzupsAmdfXyst3aFf+z0ZFQy1RYdD3wwAOyWCxatmyZNm3aVOkTfvvtt3r33XdlMpk0fPjwGgkJAABqB3e3K/90sHi4GZwEAAC4qvq+npo/uauCm9fTX/65R9sOnjU6EmqRCouugIAAvfDCCyooKND06dP10ksvKSkpqcITJSQk6LnnntO0adNUVFSk4cOHq127djYJDQAAjNG9fTM90D9UD913q9FRAACAC/P1sWjeI10VFtRAry3fq2/3/Wh0JNQS7tfaOWLECJ06dUrLli3T6tWrtXr1avn7+6tNmzby8/NTUVGRMjIydOLECf3yy5WnHlitVg0cOFCzZ8+2ywcAAAD24+Zm1tjftTU6BgAAgHy8PDTnT3dq3rIYvfGv/covKNbdXYKMjgWDXbPokqRnnnlGd955p+bMmaMff/xRaWlpSktLk8lkktVqverYkJAQTZkyRffee6/NAgMAAAAAAEiSl6e7XprYRQve362/rz6guj4e6tqumdGxYKDrFl3SlYXpN27cqN27d2vXrl1KSkrSxYsX5eXlpcaNG6tVq1bq1auXgoODbZ0XAAAAAACglKeHm54f31nPvbVdf/3Xft3UqI6Cm9c3OhYMUqmiS5JMJpOioqIUFRVlyzwAAAAAAABVYvFw0/MPddZTb36necti9NcneqpBPS+jY8EAFS5GDwAAAAAA4Cga1PPSCw9H6WJOvua/v1v5BUVGR4IBKLoAAAAAAIBTaB3op+mjInUsOUOLVx8os7Y4nB9FFwAAAAAAcBrd2jXTmN/dov/sO6NPvkkwOg7srNJrdAEAAAAAADiCB/qF6seUi1r+5VG1CKirLuFNjY4EO+GKLgAAAAAA4FRMJpMeHxmh1oF+en3FPp38KcvoSLATii4AAOCyTCaT0REAAICNeHq46YWHOsvHy0PzlsUo82Ke0ZFgBxRdAAAAAADAKTWq760XHu6srEv5WvD+bhUU8iRGZ0fRBQAAAAAAnFabFg305MgIHT11Xv/vk4M8idHJsRg9AAAAAABwaj3uaK7TKRf10aZjatGkrv7Qp43RkWAjFF0AAAAAAMDpjRoQpjNpF/X++iO6qVEddWvfzOhIsAFuXQQAAAAAAE7PbDbpyVGRuiWogf66cp+OJZ83OhJsgKILAABUy8p592j5n39ndAwAAIDr8vRw0wsPR6lBPS+9vGy3Us/nGB0JNYyiCwAAVEtdH4v86noaHQMAAKBS6vt6avbELiooLNKc6F26lFtgdCTUIIouAADgUIb3aSM/X4o1AABw41oE1NWs8Z31U/olLfznHhUWFRsdCTWEogsAADiUP/7+Vi2fw62SAACgetq38de0Ee11ICFd76yJk9VqNToSagBPXQQAAAAAAC6pX+cg/XQuW6u3JKhZ4zoa1ruN0ZFQTRRdAAAAAADAZY39XVul/JKj9744ooBGddStXTOjI6EauHURAAAAAAC4LLPZpCdGRigsqIH+umKfjp48b3QkVANFFwAAAAAAcGmeHm568eEoNfLz1rxlu/Rj6kWjI+EGUXQBAAAAAACXV9/XU3Mn3Sk3s1l/XrJT5y9cNjoSbgBFFwAAAAAAgKSbGtXR7IlddCE7X3OW7FLO5QKjI6GKKLoAAAAAAAD+T0gLP838Yyclp1zQK+/vUUFhsdGRUAUUXQAAAAAAAL/S4ZYAPXb/HTqQkK6/rYpVcbHV6EioJHejAwAAALiiu7sEqXt7Hl8OAEBt1bfTzfol67KWf3lUjep7afx9txkdCZVA0QUAAGCAaSPuMDoCAAC4jhF92+iXrFx9+m2imjauo7u7tDQ6Eq6DWxcBAAAAAADKYTKZNGloO0WGNdG7/z6kxDOZRkfCdVB0AQAAAAAAVMDNbNJToyNVv45FCz/Yo0u5PImxNqPoAgAAAAAAuIb6vp6aMa6T0jNyteij/bJaWZy+tqLoAgAAAAAAuI5bWjbUQwNv0674FH323Qmj46ACFF0AAAAAAACVMKhHsLq2a6r31x/R4aRfjI6DclB0AQAAAAAAVILJZNLj90cooKGPXl2+V5kX84yOhN+g6AIAAAAAAKikOt4emvXHTrqUk6/XV+xTcTHrddUmFF3luHTpkhYsWKA+ffooIiJCw4YN05YtW4yOBdgV8wAAAAAAyteqWX1NGtpOBxLS9e//JBodB79C0VWOWbNm6T//+Y9efvllffbZZxowYICmTZumnTt3Gh0NsBvmAQAAAABUbEDUzerarqk+/OqoEn/MNDoO/g9F12+kp6dr48aNeu6559S1a1cFBQXp0UcfVefOnfXJJ58YHQ+wC+YBAAAAAFybyWTStBF3qL6vp/53xV5dzis0OhJE0VWGt7e3lixZoo4dO1613WQyKSsry6BUgH0xDwAAAADg+ur6WPTU6Ej9dC5b0evijY4DUXSV4evrq549e8rX17d024EDB7Rr1y7dddddxgUD7Ih5AAAAAACV0y7EX8PuCtHXu5K189BPRsdxee5GB7Cn5ORkDRgwoML9W7ZsUWBg4FXbTpw4oWnTpql9+/Z64IEHbB0RsDnmAQAAAADUrDG/a6uDCela/PEBhd7cQI3qexsdyWW5VNHVrFkzbdiwocL9AQEBV32/Z88eTZs2Tc2aNdO7774rDw8PW0cEbI55AAAAAAA1y8PdrP8Z00FPvvGd/rpyv+Y+0lVuZpPRsVySSxVdHh4eat26daWOXbdunZ577jl17txZf/vb3666hQtwZMwDAJDuCPXXgePpRscAAABOJLBJXT069HYtWnVAK746qnH33mp0JJfkUkVXZX3++ed69tlnNXDgQC1YsIArWOCSmAcAnNnzD3VW5sU8o2MAAAAn069zkH5IztDqLQlq06KB7ry9qdGRXA5F12+kpKToxRdfVFRUlJ555hllZmaW7vPw8JCfn59h2QB7YR4AcHZeFnfd1Ih/BgEAgJo3acjtOnE2S29+tF8339RLzf25M8aeHOKpi2vWrFFYWJj27t1b4TE7duzQuHHjFBUVpcjISD344IP6/vvvq/xeGzduVG5urnbt2qUePXqoe/fupV+TJ0+uzscAqoV5AAAAAAC1n8XDTbPGdZKb2awF7+/W5bxCoyO5lFr/p8zY2FjNmzfvmsesWbNGs2bNksViUZcuXVRcXKyYmBhNnDhRc+fOrdJT4saNG6dx48ZVNzZQo5gHAAAAAOA4mjT00TNjO2j2kp1avPqAnh7TQSYTi9PbQ62+omvjxo2aMGGCcnJyKjwmLS1Ns2fPVt26dfXpp59qyZIlWrp0qVauXClfX1/Nnz9fqampdkwN1CzmAQAAAAA4noiwJhr7u7baGntW38WeNTqOy6iVRVdKSoqeffZZPfbYYyouLlbjxo0rPPbDDz9Ufn6+xo8fr9DQ0NLt7dq108SJE5WXl6dVq1bZIzZQo5gHAAAAAODYhvdpo5DA+vrnF4e5hdFOamXR9eabb2rt2rUKDw/XqlWrFBwcXOGxJesP9evXr8y+/v37S5K2bt1qm6CADTEPAAAAAMCxmc0m/WnI7TqXdVmffptodByXUCvX6AoODtbChQs1aNAgmc0Vd3FWq1WJiYkym83llgAtW7aU2WxWYmKirFYr98PCoTAPAAAAAMDx3dqqkXre0Vxrvk1Q/843q0lDH6MjObVaeUXXpEmTNGTIkGv+ci9JWVlZys/Pl5+fnywWS5n97u7uatCggXJzc5WdnW2ruIBNMA8AAAAAwDn88b5bJZNJ731x2OgoTq9WFl2VlZubK0ny9vau8BgvLy9J4hd8OC3mAQAAAADUbk0a+Gh47xBtO/iT4k+cMzqOU3Poout6V7pIV27rApwZ8wAAAAAAar+hvUPU2M9bSz6LV1Exv6PZikMXXT4+V+5rzcvLq/CYkn3XutoFcGTMAwAAAACo/bws7np44G1K+ilL733OLYy24tBFl6+vr3x8fJSRkaHCwrKP6SwsLFRGRoY8PT1Vr149AxICtsc8AAAAAADH0L19M93XvZXWbj2hdVtPGB3HKTl00WUymRQSEqKioiKdOnWqzP6TJ0+quLhYoaGh9g8H2AnzAAAAAAAcg8lk0sTBt+vO25sqel28tsf9ZHQkp+PQRZck9ejRQ5K0efPmMvtKtvXq1cuumQB7Yx4AAAAAgGNwM5v0P2M6KOzmBvrrin06cvIXoyM5FYcvuoYNGyZPT08tWbJE8fHxpdsPHTqk6OhoeXl5afTo0QYmBGyPeQAAAAAAjsPTw00vPBylxn7eeukfO7Vlz2mjIzkNd6MDVFdgYKBmzJihuXPnauTIkerSpYusVqtiYmJUWFiohQsXqlGjRkbHBGyKeQAAAAAAjqW+r6cWTOmm/12xT29+FKu4xHN6dFg7eXs6fFVjKKf46Y0ZM0bNmjVTdHS09u3bJ4vFosjISE2ePFl33nmn0fEAu2AeAAAAAIBjaVTfWy8/2k2rNh3TR5uO6VhyhmaM66hWzeobHc1hOUTRtXz58use07t3b/Xu3dsOaQBjMA8AAAAAwPm4mU0affctCm/dSK+v2Kf/WbRVEweH6547W8pkMhkdz+E4/BpdAAAAAAAAjq5diL8WPdVbt4c01tufxmnhB3uVm1dodCyHQ9EFAAAAAABQC/jV9dTsCV300H23amf8z5oTvUuXKbuqhKILAAAAAACgljCbTRrWu43+Z3Skjp78RXOXxuhyPmVXZVF0AQAAAAAA1DI9IwI1fXQHHU46p3mUXZVG0QUAAAAAAFAL3RUZqCdHRerQiXOav2y38gqKjI5U61F0AQAAAAAA1FK9O7TQkyMjdDAxXfOXxSifsuuaKLoAAAAAAABqsT4db9bj99+hAwnpenX5XhUXW42OVGtRdAEAAAAAANRy/ToHaeKgcMUcTtEX25KMjlNrUXQBAAAAAAA4gIE9gtX51pv03hdHdPKnLKPj1EoUXQAAAAAAAA7AZDLp8QfuUF0fD/3vin0sTl8Oii4AAAAAAAAHUd/XU0+OjNTplIt6/4vDRsepdSi6AAAAAAAAHEjkLU00qGewvth2UnuPphodp1ah6AIAAAAAAHAwf7z3VrVsWk+LPopVxsXLRsepNSi6AAAAAAAAHIzFw01Pj+2gnMsFemdNnNFxag2KLgAAAAAAAAcUdFM9De8bqh1xPyvpLE9hlCi6AAAAAAAAHNbAHsGq4+WujzYdMzpKrUDRBQAAAAAA4KB8vT00sEdr7Tz0s07+xFVdFF0AALigu7sEGR0BAAAANWRwz2D5eLlr1abjRkcxnLvRAQAAgH19/vpgoyMAAACgBvn6WDSwe7BWbT6u5J8vKKhpPaMjGYYrugAAAAAAABzcoJ6t5e3pplWbXfuqLoouAAAAAAAAB1evjkX3dQ/WtoNndTrlgtFxDEPRBQAAAAAA4AQG92wtTw83rdx4TOcyc0u/snMLjI5mN6zRBQAAAAAA4ATq+3rq991a6dNvE7X94E+l2y0ebop+vp8a1PUyMJ19UHQBAAAAAAA4iZH9w9QioK4Ki6ySpAvZefpgw1HtO5qmfp1vNjid7VF0AQAAAAAAOAkvT3f17fTfQstqteqLbUna+0OqSxRdrNEFAAAAAADgpEwmkzrcEqADx9JUWFRsdBybo+gCAAAAAABwYh3bBij7cqGOnjpvdBSbo+gCAAAAAABwYneE+svdzaR9R1ONjmJzFF0AAAAAAABOzMfLQ7e2aqS9FF0AAAAAAABwdB3bBig55aLSMnKMjmJTFF0AAAAAAABOrmPbAEnSvh/SDE5iWxRdAAAAAAAATi6wia8CGvpo7xHnvn2RogsAAAAAAMDJmUwmdWwboIOJ6covKDI6js1QdAEAAAAAALiAjm0DlJdfpPikX4yOYjPuRgcAAAAAAACA7d0e0lgWd7M+2HBE38eelSQ18vPSmLtvkclkMjhdzaDoAgAAAAAAcAGeHm66p2srbY/7SQcS0lVYWKzMS3nqEBagtq0aGh2vRlB0AQAAAAAAuIiJg8M1cXC4JCnncoEenP2VtsaecZqiizW6AAAAAAAAXJCPl4c63hqgbQd/UlFRsdFxagRFFwAAAAAAgIvqGRGozEt5iks8Z3SUGkHRBQAAAAAA4KI6tg2Qt6e7tv7f4vSOjqILAAAAAADARXl6uOnO25tq56GfVFBYZHScaqPoAgAAAAAAcGE9I5or+3Kh9h5NMzpKtVF0AQAAAAAAuLD2bfxVr45FW2PPGB2l2tyNDlAbpaamauHChdq+fbvy8/PVqVMnPfPMM2rTpo3R0Sr0zTffaNOmTdU+T1JSkiRp1qxZ1T6XJPXv3199+vSpkXPBvhxxHgAAAAAAqs7dzazu7Ztp854flVdQJE8PN6Mj3TCu6PoNq9WqP/3pT0pJSdHSpUv1ySefyMvLS+PHj1d2drbR8WyuYcOGatiwodExYDBXnwcAAAAA4GqG9ApRr4jm8nBz7KqIK7p+49y5c2rdurUef/xxtWrVSpI0ZcoUDR48WMePH1dERITBCcvXp08frpxCjXHUeQAAAAAAuDFNG9fR4w84/u96FF2/4e/vrzfeeKP0+3Pnzmnp0qVq0qSJQkNDDUwG2A/zAAAAAADgiCi6rmHmzJn697//LYvForffflt16tQxOhJgd8wDAAAAAICjcKmiKzk5WQMGDKhw/5YtWxQYGFj6/YQJEzRmzBitXLlSU6dO1YoVKxQeHm6PqIDNMA8AAAAAAM7KpYquZs2aacOGDRXuDwgIuOr7kqfLzZ8/XwcPHtTy5cu1cOFCm2YEbI15AAAAAABwVi5VdHl4eKh169bXPCYtLU0xMTG67777ZDKZJElms1khISFKTU21R0zAppgHAAAAAABn5djPjLSBn3/+WU8//bT27dtXuq2goEBHjhy5bjkAOAvmAQAAAADAEVF0/cbtt9+uqKgovfTSS9q7d6+OHz+uGTNmKDMzU+PHjzc6HmAXzAMAAAAAgCNyiKJrzZo1CgsL0969eys8ZseOHRo3bpyioqIUGRmpBx98UN9//32V38tsNmvx4sXq0KGDnnzySY0YMUJZWVlasWKFWrRoUZ2PAVQL8wAAAAAAgGur9Wt0xcbGat68edc8Zs2aNZo1a5YsFou6dOmi4uJixcTEaOLEiZo7d64eeOCBKr1n/fr1r/uegD0xDwAAAAAAuL5aXXRt3LhRM2fOVE5OToXHpKWlafbs2apbt65Wrlyp0NBQSVJcXJweeughzZ8/X3fddVeZJ8kBjoJ5AAAAAABA5dTKWxdTUlL07LPP6rHHHlNxcbEaN25c4bEffvih8vPzNX78+NJf7iWpXbt2mjhxovLy8rRq1Sp7xAZqFPMAAAAAAICqqZVF15tvvqm1a9cqPDxcq1atUnBwcIXHlqw/1K9fvzL7+vfvL0naunWrbYICNsQ8AAAAAACgamrlrYvBwcFauHChBg0aJLO54i7OarUqMTFRZrO53BKgZcuWMpvNSkxMlNVqlclksmVsoEYxDwAAAAAAqJpaWXRNmjSpUsdlZWUpPz9fDRs2lMViKbPf3d1dDRo00C+//KLs7Gz5+vrWdFTAZpgHAAAAAABUTa28dbGycnNzJUne3t4VHuPl5SVJys7OtksmwN6YBwAAAAAAXOHQRde1bucqYbVa7ZAEMA7zAAAAAACAKxy66PLx8ZEk5eXlVXhMyb5rXe0CODLmAQAAAAAAV9TKNboqy9fXVz4+PsrIyFBhYaHc3a/+OIWFhcrIyJCnp6fq1atn12xFRUWSpJSUFLu+rysr+VmX/OxdBfMAAAAAAOAqrve7v0MXXSaTSSEhIYqLi9OpU6cUEhJy1f6TJ0+quLhYoaGhds+Wnp4uSRozZozd39vVpaenKygoyOgYdsM8AAAAAAC4mop+93fookuSevToobi4OG3evLnML/ibN2+WJPXq1cvuucLDw7VixQr5+/vLzc3N7u/vioqKipSenq7w8HCjo9gd8wAAAAAA4Aqu97u/wxddw4YNU3R0tJYsWaLu3buXftBDhw4pOjpaXl5eGj16tN1zeXl5qWPHjnZ/X1fnSldy/RrzAAAAAADgKq71u7/DF12BgYGaMWOG5s6dq5EjR6pLly6yWq2KiYlRYWGhFi5cqEaNGhkdE7Ap5gEAAAAAAE5QdElX1v9p1qyZoqOjtW/fPlksFkVGRmry5Mm68847jY4H2AXzAAAAAADg6kxWq9VqdAgAAAAAAACgusxGBwAAAAAAAABqAkUXAAAAAAAAnAJFFwAAAAAAAJwCRRcAAAAAAACcAkUXAKDS3n33XY0aNcroGIBdMN7hKlJTU/XUU08pKipKERERmjRpkhISEoyOBdhFUlKSwsLCynytXr3a6GiATcXExJQ79sPCwtS3b1+j41WLu9EBAACOYcWKFXrjjTcUERFhdBTA5hjvcBVWq1V/+tOf5Ovrq6VLl8rb21uLFi3S+PHjtXHjRtWpU8foiIBNHTt2TL6+vvrqq6+u2l63bl2DEgH2ERERoW3btl217fjx45o0aZIeeeQRg1LVDIouAMA1paamavbs2YqJiVGrVq2MjgPYFOMdrubcuXNq3bq1Hn/88dIxP2XKFA0ePFjHjx+n7IXTO378uFq3bi1/f3+jowB2ZbFYrhr3BQUFWrBggfr376/777/fwGTVx62LAIBrOnz4sOrUqaN169apffv2RscBbIrxDlfj7++vN954o7TkOnfunJYuXaomTZooNDTU4HSA7R07dkytW7c2OgZguOXLl+vnn3/WrFmzjI5SbVzRBQC4pj59+qhPnz5GxwDsgvEOVzZz5kz9+9//lsVi0dtvv81ti3AJx48fV1BQkEaOHKnTp0+rZcuWmjJlirp37250NMBucnNz9e6772rcuHEKCAgwOk61cUUXALio5OTkChegDAsL05kzZ4yOCACwowkTJuiTTz7Rfffdp6lTpyo+Pt7oSIBN5eTk6MyZM7p48aKmT5+uf/zjHwoPD9fEiRO1Y8cOo+MBdrN27Vrl5eVp3LhxRkepEVzRBQAuqlmzZtqwYUOF+53hrzkAgMpr06aNJGn+/Pk6ePCgli9froULFxqcCrAdHx8f7du3Tx4eHrJYLJKk8PBwnThxQtHR0eratavBCQH7WLt2rfr376+GDRsaHaVGUHQBgIvy8PBgTQoAcHFpaWmKiYnRfffdJ5PJJEkym80KCQlRamqqwekA2yvvFt3Q0FB9++23BqQB7O/8+fM6cOCAHn30UaOj1BhuXQQAAABc1M8//6ynn35a+/btK91WUFCgI0eO8McQOL3Y2FhFREQoLi7uqu3x8fGlVzgCzm7//v0ymUzq1KmT0VFqDEUXAAAA4KJuv/12RUVF6aWXXtLevXt1/PhxzZgxQ5mZmRo/frzR8QCbCg8PV2BgoF588UXt27dPJ06c0Msvv6zY2FhNnjzZ6HiAXRw5ckQtWrSQj4+P0VFqDEUXADiYNWvWKCwsTHv37q3wmB07dmjcuHGKiopSZGSkHnzwQX3//fd2TAnYD3MCrqimxr3ZbNbixYvVoUMHPfnkkxoxYoSysrK0YsUKtWjRwtYfA7ghNTX+PTw8FB0drbCwMD3++OMaMmSI4uPjtWzZMt166622/hjADanpf/ekp6erfv36toprCJPVarUaHQIAUDmxsbF6+OGHlZOToxUrVqhjx45ljlmzZo1mzZoli8WiLl26qLi4WDExMSooKNDcuXP1wAMPGJAcsA3mBFwR4x6ujPEPV8b4rxyKLgBwEBs3btTMmTOVnZ0tSeX+xy0tLU19+/aVp6enVq5cqdDQUElSXFycHnroIRUUFGjTpk08URFOgTkBV8S4hytj/MOVMf4rj1sXAaCWS0lJ0bPPPqvHHntMxcXFaty4cYXHfvjhh8rPz9f48eNL/8MmSe3atdPEiROVl5enVatW2SM2YDPMCbgixj1cGeMfrozxX3UUXQBQy7355ptau3atwsPDtWrVKgUHB1d4bMm99/369Suzr3///pKkrVu32iYoYCfMCbgixj1cGeMfrozxX3XuRgcAAFxbcHCwFi5cqEGDBslsrvjvE1arVYmJiTKbzeX+B7Bly5Yym81KTEyU1WqVyWSyZWzAZpgTcEWMe7gyxj9cGeO/6ii6AKCWmzRpUqWOy8rKUn5+vho2bCiLxVJmv7u7uxo0aKBffvlF2dnZ8vX1remogF0wJ+CKGPdwZYx/uDLGf9Vx6yIAOInc3FxJkre3d4XHeHl5SVLpIpaAM2NOwBUx7uHKGP9wZYz//6LoAgAnca1LmUvwoF24EuYEXBHjHq6M8Q9Xxvj/L4ouAHASPj4+kqS8vLwKjynZd62/9ADOgjkBV8S4hytj/MOVMf7/i6ILAJyEr6+vfHx8lJGRocLCwjL7CwsLlZGRIU9PT9WrV8+AhIB9MSfgihj3cGWMf7gyxv9/UXQBgJMwmUwKCQlRUVGRTp06VWb/yZMnVVxcrNDQUPuHAwzAnIArYtzDlTH+4coY//9F0QUATqRHjx6SpM2bN5fZV7KtV69eds0EGIk5AVfEuIcrY/zDlTH+r6DoAgAnMmzYMHl6emrJkiWKj48v3X7o0CFFR0fLy8tLo0ePNjAhYF/MCbgixj1cGeMfrozxf4W70QEAADUnMDBQM2bM0Ny5czVy5Eh16dJFVqtVMTExKiws1MKFC9WoUSOjYwJ2w5yAK2Lcw5Ux/uHKGP9XUHQBgJMZM2aMmjVrpujoaO3bt08Wi0WRkZGaPHmy7rzzTqPjAXbHnIArYtzDlTH+4coY/5LJarVajQ4BAAAAAAAAVBdrdAEAAAAAAMApUHQBAAAAAADAKVB0AQAAAAAAwClQdAEAAAAAAMApUHQBAAAAAADAKVB0AQAAAAAAwClQdAEAAAAAAMApUHQBAAAAAADAKVB0AQAAoNY4c+aMwsLCqvS1efNmo2PXepcuXVLv3r31zDPP3PA55syZo7CwMN19992Vfs0rr7yisLAwjR49WtKV/39vv/12vfPOOzecAwCAa3E3OgAAAABQnvDwcFksluse5+fnZ/swDu4vf/mLzp07p+nTp9/wOYYOHaqVK1fq1KlTio+PV3h4+DWPLy4u1oYNG0pfK0mBgYEaO3as/v73v6tPnz4KDQ294TwAAJSHogsAAAC10qJFixQYGGh0DIcXFxenTz75RH/84x/VrFmzGz5Pu3btFBwcrKSkJG3YsOG6RVdMTIzS0tLk5eWle+65p3T7I488oo8//ljz5s3T8uXLbzgPAADl4dZFAAAAwIm99tprcnNz08MPP1ztcw0ZMkSS9NVXX8lqtV7z2HXr1kmS+vfvL19f39Ltfn5+GjlypHbv3q3vvvuu2pkAAPg1ii4AAADASe3fv1+7d+9Wr169FBAQUO3zDR48WGazWWfPntWBAwcqPC4vL08bN26UJA0bNqzM/uHDh0uS3n777WpnAgDg1yi6AAAA4DTWrFmjsLAwzZ07V+fPn9fcuXN11113KTw8XL169dLs2bOVlpZW7mvz8/P1/vvv6w9/+IMiIiJ0xx13aOjQoVq6dKny8vLKHP/ggw8qLCxM+/fv15w5cxQZGanIyEiNHz9excXFkqSioiKtXr1aw4cPV2RkpDp37qxp06YpISFBixcvVlhYmBYvXixJ+uabbxQWFqbOnTsrPz+/3IyfffaZwsLCNH78+Er9PP71r39Jku67774Kj9mzZ4+mTp2qrl27lv6cnnvuOSUnJ5c59qabblJUVJQkaf369RWe89tvv9WlS5fUtGlTdenSpcz+Vq1a6bbbblNsbKyOHTtWqc8CAEBlUHQBAADA6aSlpWnYsGFauXKl3Nzc1LJlS6WkpOijjz7SyJEjdeHChauOz8zM1JgxY/TKK6/oyJEj8vf3180336xjx47p1Vdf1ahRo5SRkVHuey1cuFArV65U8+bNVadOHfn7+8tsNqugoEDTp0/XCy+8oEOHDikgIEABAQHavHmzhg8frtjY2KvO07NnTzVs2FBZWVnatm1bue9Vcjvg4MGDr/szKCws1JYtW2Q2m9WtW7dyj3nrrbc0duxYbd68WcXFxQoNDVVOTo4+/fRTDR48uNxbC399+2JJofdbn3/+eWlOs7n8XzlKMn311VfX/SwAAFQWRRcAAACczqZNm+Tp6alPP/1UW7Zs0RdffKF//etf8vb21tmzZ/Xxxx9fdfzMmTMVFxeniIgIff3119q4caPWrVunLVu2qGPHjjp8+LCef/75ct/rwIED+vvf/67PP/9c3333XelxH3zwgb7++ms1aNBAK1eu1JdffqnPP/9c69atU5MmTbR9+/arzuPu7q7f//73kqQvvviizPukp6dr165d8vb2Vv/+/a/7M4iPj1d2drZatWql+vXrl9m/ceNGLVq0SL6+vnrjjTe0a9curVmzRjt27NATTzyh3NxcPfXUU/rpp5+uet2AAQPk4+Oj9PR07dmzp8x5s7KySguyklKsPJGRkZKuLFoPAEBNoegCAABArdS3b1+FhYVd82vmzJkVvv7VV1/VbbfdVvp9ZGRkaZH06/WlDh06pG+//VZ+fn566623dPPNN5fua9q0qf72t7+pTp062rJli3744Ycy7xMREVFaPJnNZvn5+amwsFD/+Mc/JEnz589Xhw4dSo8PDQ3V4sWLZTKZypyrpBj65ptvlJOTc9W+9evXq6ioSH379r1qcfeK7N69W5IUEhJS7v5FixZJkp577jnde++9pds9PDw0ZcoU3XPPPbp06ZLef//9q17n4+Oju+++uzTTb3399dcqKChQRESEWrVqVWG+klxxcXHl3hoKAMCNoOgCAABArRQeHl667lVFXy1btiz3tX5+fmrfvn2Z7SXFy6VLl0q3bdmyRZLUtWtXNWzYsMxrGjVqVLrO1NatW8vsv+OOO8psi42NVWZmpvz9/dWnT58y+2+55Zaryq9ff+Y2bdooNze3NFeJqty2KElnz56VJLVo0aLMvtOnTysxMVFms/mqkuvXStb1Ku8zlxRyGzduVGFh4VX7Sm5bLG8R+l8LDAyUm5ubCgoKKlw3DQCAqnI3OgAAAABQnkWLFikwMPCGXtukSZNyt3t5eUm6skh8iRMnTkiS9u7dq1GjRpX7ujNnzkiSTp48WWafv79/mW0l5wwNDS33yi1Jatu2rfbu3Vtm+6BBg/T6669r/fr1GjhwoCQpKSlJhw8fVuPGjStcb+u3StYUq1u3bpl9iYmJkq5cgfbwww+X+/rLly9LkpKTk2W1Wq/6HFFRUWrevLnOnj2rnTt3qkePHpKklJQU7dmzR15eXrrnnnuumc9kMqlOnTq6cOGCzp8/X24hBwBAVVF0AQAAwOl4eHhU+tiSq7vS0tKue2XRxYsXy2zz9PQssy0zM1OS5O3tXeG56tSpU+72wYMH64033tC2bduUmZkpPz8/rV27VtKVq6zc3NyumbFEyYL7JeXer5V85sLCQu3fv/+a5ykuLlZ2dvZVt0uaTCYNHDhQ77zzjjZs2FBadH3++eeyWq3q169fuQXbb3l7e+vChQtlHg4AAMCNougCAACASyspo2bMmFHh1U03es7s7OwKj6loX0BAgLp06aIdO3Zo06ZNGjFihDZs2CCp8rctSv8t4H59m2YJHx8fSVeuOCu51bCqhg4dqnfeeUebN2/WnDlzZLFYSs81dOjQSp2jpDgsrywEAOBGsEYXAAAAXFpQUJCk/95uWJ4jR47o6NGj5ZZG5SlZaD0hIUFWq7XcYxISEip8fUmhtXnzZiUmJur06dNq06aNbr311kq9v6TS9cZKri77tZLP/OOPPyo/P7/c1587d0579+5VampquftbtmypiIgIXbhwQTt37tTJkyd17NgxBQQEqGvXrtfNl5+fX7rgfqNGjSrzkQAAuC6KLgAAALi0u+66S9KVhdXPnz9fZv/Fixc1fvx4DRkyRF9++WWlztmxY0f5+fnp3Llz5S7mfvr0ae3Zs6fC1w8YMEA+Pj7auXNn6XsOGjSoUu9domTh/fKKqpCQEDVv3ly5ubmlt0X+1uuvv64xY8Zo+vTpFb5HSSG3ZcsWbdq0qXSb2Xz9XzNKcrm7u7M+FwCgxlB0AQAAwKVFRUWpU6dOunDhgh555BElJyeX7ktNTdWUKVOUlZUlf3//0sXhr8fT01MTJkyQJD3//PM6ePBg6b7Tp09r6tSpVy2I/1s+Pj4aMGCA8vLytGzZMpnN5kq/d4mSp04eOHCgzD6TyaQpU6ZIkhYsWKD169eX7issLFR0dLTWrFkjSde8nfP3v/+9LBaLvvnmG23evFlS5W9bLMl12223yWKxVOo1AABcD2t0AQAAoFZ64oknKlWAdOrUSU899VS13uv111/XhAkTFBcXp7vvvlshISEym81KSkpSQUGBfH19tWTJknIXdq/Iww8/rL179+q7777T/fffr9atW8vDw0MJCQny8fFRUFCQkpOTK1xcfsiQIfrss8+Uk5OjLl26qGnTplX6TBEREfL19VVaWprOnj2r5s2bX7V/+PDhSkhI0Pvvv6+nnnpKr7zyigICAnTmzJnS2x2nTp2qfv36Vfge9erVU58+ffTVV18pPT1dd9xxh4KDgyuVLzY2VpLUvXv3Kn0uAACuhaILAAAAtVJ8fHyljmvQoEG13ysgIECrV6/WihUr9OWXX5YWXE2aNFH37t01adIkBQYGVumc7u7ueuutt/Thhx9qzZo1Sk5Olqenp/r376/p06dr3rx5Sk5OrrA8i4qKUkBAgFJTU6u0CH0Ji8WiAQMGaM2aNdq+fbvuv//+MsfMmjVLPXr00IoVK3Tw4EH98MMP8vX1Vffu3TV69Gj17dv3uu8zdOhQffXVV6X/u7K2b98u6cpVYQAA1BSTtaLVMQEAAADYzIgRIxQXF6fXXnut3PW3cnJy1K1bN1mtVm3btk2+vr5Vfo8ffvhBgwcPVkREhD766KOaiF0j9u/fr1GjRqlnz55asmSJ0XEAAE6ENboAAACAGpadna0ePXrowQcfVG5ubpn96enpOnr0qCRV+CTFL7/8Ujk5Ofrd7353QyWXJN1yyy3q1auXYmNjlZSUdEPnsIWS9b8eeeQRg5MAAJwNRRcAAABQw+rUqaP69etr9+7devPNN5WXl1e6LyUlRdOnT1dBQYE6duyokJCQ0n3Jyck6c+aMtm7dqldffVWSNHbs2GplmTp1qkwmk/75z39W6zw15dy5c1q/fr06d+6sjh07Gh0HAOBkuHURAAAAsIEdO3bokUceUX5+vurWraubb75Zubm5On36tAoLCxUUFKRly5ZdtfbXa6+9pujo6NLv//CHP2jBggXVzjJnzhx9/PHH2rBhg4KCgqp9vuqYO3euPvnkE3322WeVXrgeAIDK4oouAAAAwAa6du2q9evXa9SoUQoICNDJkyeVnp6uNm3a6IknntCnn35aZoH72267Tb6+vvLz89PYsWP15z//uUayPP300woICNCiRYtq5Hw36scff9THH3+sadOmUXIBAGyCK7oAAAAAAADgFLiiCwAAAAAAAE6BogsAAAAAAABOgaILAAAAAAAAToGiCwAAAAAAAE6BogsAAAAAAABO4f8DNVo6qv9CPpYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,8), gridspec_kw={'width_ratios': [1, 10]})\n",
    "sns.boxplot(y=u235_ng[[\"Data\"]].values, ax=ax1)\n",
    "ax1.set_yscale('log')\n",
    "ax2.loglog(u235_ng.Energy, u235_ng.Data)\n",
    "\n",
    "ax1.set_ylabel(\"Cross Section (b)\")\n",
    "ax2.set_xlabel(\"Energy (eV)\")\n",
    "\n",
    "plt.savefig(os.path.join(figure_dir, \"u235_ng_xs_dist.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As an example let us use the quantile information to remove some \"outliers\" for this particular reaction only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T18:48:55.904429Z",
     "start_time": "2021-02-07T18:48:55.891430Z"
    }
   },
   "outputs": [],
   "source": [
    "without_outliers = u235_ng[np.log10(u235_ng.Data) < np.log10(u235_ng.Data).quantile(.75)]\n",
    "# without_outliers = without_outliers[np.log10(without_outliers.Data) > np.log10(without_outliers.Data).quantile(.05)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T18:52:43.499273Z",
     "start_time": "2021-02-07T18:52:39.792949Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABLoAAAIECAYAAAAeiEdfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAADQz0lEQVR4nOzdd3xT9foH8M9J0r13S1s6KC1LtkwRQVBREbciDhBFuSoO3Ndx3XoV11Wv/sRxFUQcKKCiLBmC7L0p0LLKKt10Zfz+SJMmTU5yTnKy2s/79fIlzTk558nJOWnO0+f7fAWDwWAAERERERERERFRgFP5OgAiIiIiIiIiIiIlMNFFREREREREREStAhNdRERERERERETUKjDRRURERERERERErQITXURERERERERE1CpofB1Aa1VXV4cdO3YgKSkJarXa1+G0CTqdDqdPn0a3bt0QGhrq63AIvA6IiIiIiIhIWc7u/Zno8pAdO3Zg3Lhxvg6jTZo5cyb69u3r6zAIvA6IiIiIiIjIM8Tu/Zno8pCkpCQAxgOfmprq42jahhMnTmDcuHHmY0++x+uAiIiIiIiIlOTs3p+JLg8xDdNKTU1FRkaGj6NpWzhEzn/wOiAiIiIiIiJPELv3ZzN6IiIiIiIiIiJqFZjoIiIiIiIiIiKiVoGJLiIiIiIiIiIiahWY6CIiIiIiIiIiolaBiS4iIiIiIiIiImoVmOgiIiIiIiIiIqJWgYkuIiIiIiIiIiJqFZjoIiIiIiIiIiKiVoGJLiIiIiIiIiIiahWY6CIiIiIiIiIiolaBiS4iIiIiIiIiImoVmOgiIiIiIiIiIqJWgYkuIiIiIiIiIiJqFTS+DoD8y+jRo83/nj9/vg8jISIiIiIiIiKShxVdRERERERERETUKjDRRWaW1Vz2fiYiIqLAYjAYYDAYfB0GERERkdcw0UVE5EGlFbXYdajU12E4VVZVh9FT52LtjhIcOl6BrftO26yj0+nd2kdlTQNGT52LRWuLbZat2nYc2wvPiD73+JlqbN1vG5M7jp2uxuipc7Fu5wlJ65+trMOZ8lrF9l9aUYs7XvgDR09V4canf8HoqXOxee8p1NVrMW/FAYyeOheb9pwSfX6jVvz9qKvXYvTUuVi4thh1DVpc8/g8TH5jicN4Vm09js17T6G0ohZLNxyxu847szZh9NS5KK2oRU1tIxatLcbf20sAADsPlkKr02PG77vx58YjeOTd5Rg9dS6On6m2u63tB87gXF0jdHoDauu1uOrRufjoh60AgE17T5njt+dcXSN+XXUIm/acwpGTVVi97bjD12bPkZNVKCqpxIc/bBWNUY5f/zpoPkd1egNGT52L0VPn4v43l4o+5/9+3o7RU+eafz5dVmv1Wsqr6lFaUYuGRh0atXqcKa/FD0v347vF+/DHGvvHxiauVYdw1aPzUHWuAQAw589Cq30CwKtfrsP6XdKuA3v2HS5DfaPO5ecTERERKYk9ulqJpUuXYtGiRYpv96mnnnLr+SNHjsTw4cMVioYo8Nz376WoqdNi/rQxvg7FoYPHKgAYb4o3NyW5LGM+cLQcj3/wF9647wLkZcbi5+WFaJ8Sjd6dkiXv4+TZGgDAl7/uQtW5Rlw7LM+87PX/rbfZp8nx09W45/UlostdtbspAbl6+3H065rqdP07XvhDNIZp32zEpj2nMPPFUU63Y0oy3DgiH2cr6/C/X3ehtt6YJJi1cC/2HymHtimp+OJna/Dzm1fZbGPxusN4b/ZmPHtnf2SmRCEtMcJqeU1dIwDgP99tQaNWD63OgKOnHCdzXv/K+B5kp0WjqKQSc1ccwEv3DEJ0RDCWbzqKrrkJ5gTY+BcXWj333YeH4skP/8KYCztg7ooDVssWrinG+Cu7Wj1WXlWPpz9ahfO7pCA6IhhL1hu3u+DvIvzj+h74+Mdt5vgv6Z9lE+u73242J9hMPnp8ODJToqweO1tZhzte+AOpCeH49OmRVsv+8e/mBNTvfxfh2Yn90a+L/fNg2aaj+OiHrXjgxp64oEc7CIJgtdwycTR/2hhUNyWVAKD4RJXN9j6Zsw0X9EzH/JUHARirrsqr6/Ho+8txtrIej47rg7KqOnw2b6f5OX07p2DD7pNW2xnQLRUTX1mE5yb2R/e8JJv9FJdU4pOftgMAqmoaEBUejC9+MW5TrzdWetXWa/H39hL8vb3E7rldV6/F61+tx73XdkdqQoTN8rLKOkx9bwWG9EzH47f1tT14RERERF7Gii4iIg+qqdP6OgRZWt7Am8xZVoiGRh0efnc5yiqNN+DPf/q3efmmPafQ4KSiw7TtypoGfPHLTpRWOK+OOn6mOcnlyO5DZ1FUUmnz+Mmz51BeVW/12InSGhw5WYWGpoqoYI3a6fYtGQwG7C0+azUcbNnGo6isabBab86fhXjig5VWj9U1NJ8P3y3eBwBYs8O6kkZrUTnX8v149P0VeGH6Grw3ezMA4KXP12LSa4ttYrR8ntiwtV2HSlFRbTw2B46Wmx8vragDYEx+Ll5XjEatDm/N3IgJLy20txkAQEW18bUfPmH7Hthjqv4pKqk0J7lMtu4/jZLSGqvHGrV66PXNr+PISdvk0Wv/W4/1u05g9NS55mqn46eNyb0TpeecxvTSZ2tFl739zUbU1mvx7683YO1O8fcLMB7vv7Ycc7ivX1YdwpMf/mX+eeWWY7j9X3/gbKXx/Xhr5karJBcAmyQXANz6/O+ob9Bh1sK9Vo+v23kC97y22Koyr7KmAYVHymE6NRp1evx3zjaMfXaBw1jX7TqBjXtO4avfdttdXtt0Tu8/Uobjp6sxZdqf5uoxIiIiIl9gRVcrMXz4cLcrp+z15Hrttdfc2iYRBb4z5bVYtbV5ONWcZYVWyw8cLcfzn/6NUQOz8Y/re4huR9UiaaMXGXm3dMNhhIcGYUC3NJxtSro483hTQqllRcpdrxgrXR+5pTfe/mYTfnz9Stz9qjExNPEqY5VRcJD9RNeWfafQKSseQRoV1Ormvwst33wM02ZuxNRxfXBR7wzRmEyVM5b+21SpJKZlUkqlaj5mer0Be4vL7D5v+twduGtMN6t1TSwTMUdPVSEj2Vj19MQHf6FdYgQ+eWoEHnpnuXkdyyTFwrWH0bdzisOYAeCn5YVO17HHXlr1mY9XW/1cVlWHJz74Cz3zk/CP68TPryMnq/BiU7Lqp2X78eEPWxBk8b69P3szauu1mHxdD0RHBItu58DRcjz0znK8/dCF6JgZBwCwfFuqmhKaZyvrEBqshr5FHvHDH7baHVa4p/gsYAA6ZcfbLDNVVLpqx4FS1DVoERqsQU1tI176fK05RpPH/mO8RjRqAVqdAY1aPVZsPup020LTu6QXSZiarmuDAfh+yX4cOl6JNdtLMNJOJR4RERGRNzDRRUTkBQaDQbRayh+Y7mFbVqcAxuGMupZ38030egMqmm78j522Hhr349L96JwTjy45CQCAli9f7HDM+bMQNXVadMlJgNwW2jq9AWqV7Ybf/mYTAOMQNRNTVVFwkG1x89b9p/HsJ8aKtU5ZcXhzyoXmZaYqoeOn5fV1OlNeKzuhYZGnwfdL94muN3fFAQRpVLhuWB50eoNVosuyl9eeojJEhQcjJjIEAHD8TI3D3krHTlfjvjf/dBrnFjs93RyxTOgFB6kdVgO+OH0NSs7UICu1eViis2GYdQ06GAwwV+0BwKJ1hwEAocEa3H5FZ9HnmiqnVm8rQUxECJLjw62Wm67jO174A2mJEXjtH4Otlov1znrsfWOiyTIhaRIXHerw9Ujx3x+34eGxvTFjQXPl1bJNtokslUoF6HQ4W1Frk3xu6dRZi0o4i4vxTHktwkI0iAgLal5sMJivaZGPCyIiIiKv4NBFMps/f77Dn4nIdVpdYNz5bbNoCK/TG7Bg9SHsPFiKiNDmv4v8vLy5B9OYx+bh+f/7G/Z8+esuPPFB8/AsqYm+Y6ercaa8FuOeWyCaTJq38gC++WOPzeOzF+21s3azT+fuMP+7sdGYBAmyM3SxzKISZk9xGZZtbB4CZnoV9ipctu4/je2FZ/D9Etuk1ISXFtodXmmp5RYtExEzFti+Xks/LN2Psc8uwK3P/46Kmubhmpbn3nuzN+POl637OV7/5C82Pb6UtHj9YZvHPmxqOg/AbmLSUuHRCoSFqCFn4kCVg23qDQbc/q8/RJebqvd+WLofE19ZhJNnrYc9vjd7M06XGYfdlpypQX2DvCbs0y3OQZOo8CA7a8pTcsY43LPRyaQRpuTp4x/8ZUx6iTh59hwmvrIIsxYZzzuDxdk54aWFuP8tYwLUdF0bYHmNN6+r0+nxx5pi0WQ5ERERkdJY0UVE5CHnmhqCA8DXC3bjztFdHaztfz6Zsw0LmiqgYqNCADf7jUmt6LJMzNir3Ck8Wo5PfzYmC265tJPVMmeJJEumap/Ne09h7CUFDted1lQRBqA5cDv37S2H3QHyqvlaDk10lLBxpKzSMtFlnfiwVz1lSpJ4QkV1A2rrtQgLaf7KYaoAq6xpcJroAmC3CbojpkSUPSHB9oeqmpK5LeOxN3z2ox+bE3XK9KNyv9pTasGoaeKDmtpGxEWFiK5nel1HTtpPNp8pr8XM3/fg26bk8umyWvMsmZY5rfl/HcRn83ZCr9dj1KAcaUESERERuYEVXWSlW7du6NatG6u5iBRgWcny07JCfPD9Ft8F4wLL5uoaFxMulpwNkwJgU/VhL2HxsEU/KUecNbs3JXx2F5019k+SyEGeyy6tTu9weKAjria6ZllUtmm1thU+LYeZepppqOKyTUcxb8UB8zGsa9BJeo0CBFkVXY6EiPRkM516arV1PAY77/TBY+Xmfz/6/kqb5b5gek/lDJG2TOq1fJplYhKA3eP/rUgFpeXQVNNkENW1jXbXBYxJtZc/X2szoYMUh09UYvTUuXarKImIiKhtYqKLiMhDWt60ifXu8VsWN74ajeu/Lg4dd9yXSmdRcVRbZ30zvGrb8ZarW/l7e4nosvEvis8SCFhXNh1tMYufo5yKeXCWxMxLo1Yvuam+zb5c7OtWeKTc/G97FUf3SpjJUkmmJNK0mRvx6dwd6JWfDADIy4iRlswT7CecXCGW6DK9n+oWw/nsvc1V58STNr5SUd2AopJKyZVdAKCyaAJnep2fzt2OR95dLms7LRksEtam5LWjyr15Kw5i7c4T+OWvg7L3NXuRMcElNiskERERtT1MdBERecjhE1XOV/IT9pI2lhVYLW/+5ZgybZlxey1udE1JnEqLREyNzOGRr365Dv+1GEYmh2VvJVnVQjITAI1avd2G9x7YlV1b98trFO8RLQ7wpr2nAAADz2snKZmn5DwOYkMX9RISMiZKVZcp7Ux5raxzxt5rnbfiIPYfKbfJ9upl9NiyXNPU089RRZcpDJeOq//O8UFEREQ+wkQXEZGHtOwXFR6qQUOjDkdOBkYCbOWWY+Z/a9Tu301KuVGucXAzLOa31UXmf/+9vQQnSqX1mzpX35xUW7vzhOT9CU131lJvyrU6PYJFqoicsdfwXq5TDvpVeYvYq1i26YikIa0C5CVB2jlori9W0RXUVLUoJdFlb3ZSf+Hq0EUAqGtoviZaHu7aeulJaHvnraMqOEFluqbkn++Cg0zX90v24bbnf5e9TSIiIgpsTHRJ9Mknn2Ds2LG+DoPIp3gdSFdXr8WJ0hpjE/cmWq0eb8/ahH/8e6lVo/pAoFa7/+viH/9eavWzYP5/841qjQLHReqwvFpXE13m6hPpQxflVMNY0jflUx5+Z5lLz/cXYofqyMlqnK2UMKxTZklXUlyY6LIgkUSXaYidq33RAlHLyR5M/bQA28T0tsIzorOgtrRxzyl8One71WOODuvmpgo/OZNJmDg6Nb76bTfKq+vFVyAiIqJWiYkuCWbOnIl33nnH12EQ+RSvA3kOn6yCwQC0T4kyP9ag1WPVVmPPqZm/7/FVaHY5S8MoUdFlw84mz7lQ0dVSy4b2YlomG/9YU4RPftoGwHH1ULXM/kyNdprBS5WVFgW93oDCo477nPmLKpH3z5VKHXe24WjVkyIVf2JDF5WI3ZvcGebprLpO6iQGm/acwrwVB60mkzjsoJJ11yHjZBByJoUwazt5SSIiIpKIiS4HTp48iXvvvRdvvfUWcnI4JTa1TbwOXFPcVJmQkRxpd/m8lQcDqqpLo0BFlxRKVHQB9mdrbOlci35gH3y/Fb/8dcjp8+YsKwQANOr0DvsOmWh1epeHII7sl2XVNF8qKcPvPMHeDI/uysuMNQ5dlPEcR8nOH/8stPu46T1qWdHlnTSXcntxdQKDls+1d87K3fadLzdPCLHjQKnz/Ytkrc6U1+JMue+H4BIREVFgYKLLgZ07dyIiIgLz5s1Djx49fB0OkU/wOnBN8YkqBAepkRIfDgCIDAuyWefk2XPeDkuck/tsqYmuRq3ObpJhT5FtpYa9m9qaWnnN6MX8usr57G1iPYfOVtbhxz/3O33+vBUHMfaZ35yu16jV2z2+UobICQJQ1yA/0WX5HnTJiZf9fFeJVT+5UxT1xn0XGKuUZGzDlaGizbMDtjjXFchBjZ461/2NSOROitPype8/XG67bQ/nT8W2P+GlhZjwkv1ZVFnQRURERC0x0eXA8OHDMW3aNGRmZvo6FCKf4XXgmuKSSrRPiTTf4EeG2ya6AonUvkXXPvELnvtktc3jSzccsXnMdFNreXPrrMrt0HFpQ/ikxNuyosvk9f+tdzhj5sSrukmKwaRRa7+iS+oNer0LFV2WctvFuPV8OcRyQgY3skXBQWrsO1yOTXtP4bbnf0eFhJ5Lrgw3ND3FtqIrsIYuupP5sRy6aC/pJOXYu8OVajR3KtiIiIiodWKii4javM/n78S3i/Yqus2iE5XISos2N6PPSo22WafehUodX5FyK2lKFGwrPIN5Kw5YLVvwd5HN+rc+/zseeOtPHDjWnLxyNhRQ6sxvUhJdYjPn7bZTfWapV36SpBjM+xEZzif1Bt1yJjxXhAS7NuOjK0TzSwrlisqr682Nyx3G4cY+1J7oRxcoLF66vQkoVmw+ZvMYERERkb9hoouI2jydXo9ZC/fiiINmyXJUVNejvKoe2WnRGNYnE0/c3hc3jyywWU9q0sYbnFXAyK2a+HTuDknrFZVUoryqeda9GgWa0QPOm2q7Q24fsUad3jx7oiWpbbTcTYhec1GeW89Xgqs9yuzR6pxvy9VZLgF7zehd3pTXlVXWYd4K58N2xVgOJ/ZVnzdHTpfVYvTUudh/pMz8GAu6iIiIqCUmuoiozbvx4nyEBqvxv193KbK9oqZG9Fmp0VCpBFzQIx256bbDx1ZsPuY3M7o5i0LKzaSrN5wnS5t7lTmr6Fq26aikbUodaukKnYREi6VGrd7u+yxIjNHdRFdYiMat58vj+fNZyjXjznXlySSpp0mdFVGM5TBNX3w2OTv0m5qq+RasLvJ8MERERBSwmOgiojYvJjIE1w/viLU7T2DHgTNub88042J2WvNwRZVKwGv/GGy13uL1h3HoeKXb+/MGKRVd2108dt8sbB426qyiS+oNrj8lK7Q6vd30j9QY3R266E1iuRElcyZSKurcKOiyfV/8IxftHRavde/hMvH1fMSUG7asEBSbqdGSv/xBgYiIiLyDiS4iIgCjh+QiISYUX/yy0+2boqKSSkRHBJv7c5l065CI64ZZDyM7rNBwSXf9sMTxLINScjJK3EvKHRYoxpMVXXKbk4tVdEkJ0WBwbdZFf6NknuFEqfPZSl29hh96ZxkatNbH2xvN6N+ZtVmR7Sh5nN0ZAukppuva8nV667OJiIiIAkerS3TNmTMHBQUF2LBhg+g6q1evxu23347+/fujd+/euO2227By5UovRknkWbwO5AsN1uDWyzpj3+FyrNp23K1tFZ+oRHZatN0qqJaPSWms7Q3OqjekVE0oIRB6dMm9aTYmumwfl9r3LJAmLRCt6FIwWSQlieVqj64DRytsevW1pSRJoLxUuYnMQHldREREpIxWlejavHkzXnrpJYfrzJkzBxMmTMDmzZvRvXt39OrVC5s3b8Zdd92F2bNniz7v9ddfx6xZs5QOmUhxvA5cN6xvJrLTovHVr7vRKDJTnjN6vQGHT1QhK812lkWgufrgtlGd0T0vEfsOl6HwSDmKT/j3EEZvjQRULNHlyd9uMu+atTqRHl2SE12BM3RR9OAomGmQkuNwa+iiHzZhl2rOskK3nu/p/mdSFR4tx8mz4pV7YteOWGwGgwGL1xVjtZt/xCAiIqLA0GoSXQsXLsTEiRNx7pz4F6NTp07h+eefR1RUFH788Ud8+umn+Oyzz/DNN98gMjISr7zyCk6ePOnFqImUxevAPWqVgPFXdkFJaQ0W/H3IpW2cKjuHugYdslLtJ7pMDDAgNjIEBoMBD7+7HPe/+adL+/M00z1/wCW6PBRwXFQINBp5vzobtSI9uiRu5pwfzc7pKlf7t9kjJc3iTjLm+JmaFttyeVOtkpLHo/pcA06U1tg8/vA7y3HXK4tQWlGLKdMcfzZaxuOoR9x7s7fgtf+tdydcIiIiChABn+g6ceIEHn/8cTzwwAPQ6/VITEwUXXfGjBloaGjA+PHjkZ+fb368e/fuuOuuu1BfX++wmoXIX/E6UE7vgmT06JiIbxfucynpUmRuRB9ld7m5EsFg/Ldl/6Wqcw3yA/Ywtdr4a0Jq9ZG73KnEseSpqhwDgE7Z8VaPOao8AYBGrc7uUDqpx3TbfmOSKCM5UlqQfqjwSLli2/Lk0EXAdsIDrc616s7WSsm83wPTluHuVxeLLp+xYI/VhB3O3nqxxc7OmZc/X4sl6w873jgREREFjIBPdL377ruYO3cuunXrhtmzZyM3N1d0XVP/oREjRtgsGzlyJABgxYoVngmUyIN4HShHEASMv7Irqs414Mc/HTdot8c042Jmikiiq+n/BgBbC0+jtKLOvOyWZxegtKJW9j49Sd2UMPKjSQwl8VhizgCbbmWvfrnO4VO0OoPLzejPVtZha+Fp3DyyAM9O7C8jUN8QyyfovVwWpeTualtBRZ1UK7ccc7hcpzNg9qK9DteR4s+NR3DoeAXOlDv+vLNNMjrLdIkMXXQSz9qdJ/Dut8pMCEBERES+p/F1AO7Kzc3FG2+8gauuugoqB+NADAYDCgsLoVKp7CYBsrOzoVKpUFhYCIPB4LXqBSIl8DpQVl5GLC7qk4G5yw/g8kE5SIwNk/zcopJKpMSHIzw0yP4KpoIuA1BeVW/3+Qkx0vfnaeZEl5ea0StFSkVXsEaFBpm92Aww2CT9dE4qfhq1OperYFZuPgaDAbioTwZ0usAdQ+ft4X86vXJVWN5O0vnSZ/N2Oly+Zf9pbNl/2u39vP3NJknrLdt01Opn01sh91eTQalSUSIiIgoIAV/RNWnSJFx99dUOb+4BoKKiAg0NDYiNjUVwcLDNco1Gg7i4ONTW1qKmxrZfBJE/43WgvNsu6wy9AZjx+25ZzzPNuOiUwYCcdrbrnSrzr4ou0zkVaDlPKT26wkLl/63HYJBfLSY266KU/MnB4xXomBmL9KTIgEi4WEYYGqw2/9vbsSuZ1wjkBKO/0Sn0xogl3kWHLoo8XnikHDsU7B9HRERE/iHgE11S1dYabx7DwsQrJUJDQwGgzd/gU+vF60C65PhwjB6Si6UbjENspGjU6nDsdI3ojItA8w2aAcDT4/uZHw9uanD+0Q9bsfNgqeuBK0yjNg1dDKxMl1rCb7ewEFcSXfJ7bYnNuijVRX0yALjXd8pbLF+nZbjejt3e8e7XJdWlbQVCgjFQVNbYVrHKYe+dMFg8Kt6M3v6Ch99djqc+WuVWTEREROR/2kyiy1mlC+CdKbOJfInXgTw3XtwREaFB+PLXXZLWP3KyGnq9AdkOZlwULIYuhgY3J1rGXtoJlw7IAgA8+eFf2LrP/eFBUjU6GL7XPHQxsEgZuuhKoqtHxyTZzxGt6JL4/CE9043ru3hpevOKtjyXfJmYs/c59uQd57u0rT/WFLkZTWAJC1E7X8lHnA9dtH/OtaU+a0RERNQKenRJFR4eDgCorxf/a6JpmaNqF6V9+umnOHjwoNf254wplqeeesrHkVjLzc3F3Xff7eswAp6/Xgf+KjI8GDeOyMfn83diy75T6Jmf7HB904yLWSIzLgKWzegNVkO7gjQq3H9DT6zaehzVtY1477vN+PyZS9x+DVIcPVUlukxlMetidlq0+TX6OykVaK4kuq4YnCNrfbVKcLuiKy4q1OXnepvl5Ap6q+ou8devUQvQyhgeKOW9PVtp+xkXpHHtb3v7Dpe79LxApVapAOicrucJpRV1KKuqc7CG9Xny9/bjWLL+SPNSkdPoPTaaJyIialPaTKIrMjIS4eHhKCsrg1arhUZj/dK1Wi3KysoQEhKC6GgJ/XUUcvDgQezYtRfq0Fiv7dMRvdZ447374EkfR9JMV1fu6xBaDX+9DvzZlRfk4JdVh/DFL7vwzkNJDiuFiksqoVGr0C4pUnyD5pIuIDioOdFVUW28Me+Zn4S/th5HZU0DyirrEBft2STH4ROVmDJtGQBg6rg+mDZzo9VyjcWsi/95dBhGT53r0XiUIqlHlytDF2WuH6RRiVZ0SZHbLsb8bzmjR68YnINfVx0C4LsqzYhQDarONTbFIL5eZHiw3YkZxARadWGg8eT5snrrcVxxgfiswABw+7/+EF2mN1d0Gc+CV79cL2m/x8607aH4REREbU2bSXQJgoC8vDxs27YNRUVFyMvLs1p+6NAh6PV65Ofnez02dWgswrMu9vp+A8W54iW+DqHV8OfrwF8FadS4bVRnTJu5Ecs3H8WwPpmi6xadqERmSiQ0DhpEWeS5rJJmpmFeU27qhb+2Hkd9gw4PvbMc/3v+UkVeh5h9h8vM/06IsU2qqdXNiS4AGN43E0s3HLFZTymCoMwMfZ5KdMnNdIUEq9Go1duvaJKwLdPxB+Qdl87Z8eZEl6+8OeVC3Pu68fNbbzDg+Jlq+yvKfb+Z6fIoT6ZFP/5pO7q7MPzX5NgpkXOoiWgzeokXT0OjzvwHiO2FZ3CitAYj+2fJCZGIiIj8QJvp0QUAQ4YMAQAsXrzYZpnpsaFDh3o1JiJv43Ug34U909EhIwZfL9iNhkbxIT2HSyodNqIHLIYutrjxunGEMbkYFqIxN80+W+loCI8yyqsbzP+OjrCdiVOtah66CABdchI8Go9LySc7/j1jg9N1wkODZG/XYOdW2lFOLThIDa1OvAeap1jF5KNWWelJkUhLiDDHsHLLMdnbaJ8qPgyYPMPTFYD1Da4PizRdfwvXFuPXv2zbPhgMBrs9By37xRUeLRfd/nVP/oJTZ88BAJ7+7yq8/90WWdWGRERE5B/aVKLr2muvRUhICD799FPs2LHD/Pj27dsxffp0hIaG4pZbbvFhhESex+tAPpVKwIQru+J0WS1++ct+lUz1uQacqahz2IgegE01yl1juuHFSQOtki6WlVU6O0kSnU7vsIG8HKYZHi8flI10O0MuLSuKAHnD51zhSvLJVS4NXbRz2A8dF+9bFqwRr+iylzRTimBxovl0eommMOobdZixYI/dVRwdhwubGvGT93h6DgF3ZrG0fOrHP223Wb5h90lc+8R8FB4pt96nxYt6+J3lOHhMfCbdvcVlVj/PXXHAtWCJiIjIZ9pUoisjIwNPPPEEqqurcfPNN+Ouu+7CxIkTMXbsWNTU1ODFF19EQoJnqxWIfI3XgWt6dExCn07J+G7JPlSda7BZXnzC2NDdeUWX8c7fdMM25sIO6FVg3eT+lks7mf9958sLbbbx5Id/4bbnF8iKX8yG3cZ+fJOv62F3yKVp1kUpQwGVEBnmvURXqAuzy+ma3rjMFGmVRiFBxkSX17NNfjK8r6SpN9Lf20tE16motr2eHPGTl9ZqGXw4W6YzzqrNNu4+BQDYVVTa4nnW6zms0mpxgun8+HgQERGRfW0q0QUA48aNw8cff4wePXpg48aN2LFjB3r37o0vvvgCY8aM8XV4RF7B68A1E67sitq6Rny3eJ/NMtNshNnOEl2mHl0Obthio0LM/245e5xWp8ee4jLU1Gmlhu1U/66posuahy4qtjuHwkO91zoyPER+Um35pqMAgCMnxWeqtBQcpIJWJ9KjSyZXh5T5qhm9Iuycd1JmXSTXefpsUaqiy57mz1frx1smq+ScQioB+GHpfjz54V/Sn0REREQ+1eqa0X/99ddO1xk2bBiGDRvmhWiIfIPXgWdkpUXj4vPb45e/DuGKwTlINfUfgnHGxYiwILsN3d21ettx6HQGDOmVjuqmWeyUYKq2CQkWr2wyVXmZkguezpl4deiiC0m1mlp5xz8kWI2qc40eP24tteZcUGlFra9DaNU8nRi1N/xXKmdJMtPnlL5FYqvl8xxVqLZcpFIJ+N+vu2RESURERL7W5iq6iIjccculnaBSCTb9hopKKpGdFu202sSVapTX/rce/56xATsPlqKmrjnR4s6Qmr+3H8fHP20DAGzac0p0PdPQRW8lTrw5dDHMQYJPjNxqlOCmoYv2kgeBXGjlbSP7tTf/e3+L/kukLE+P1HOnN52za0ZsAo+WCeqS0hpc8/g8Sfu0nB2XiIiIAgMTXUREMiTGhmHMhblYvvmoueGxwWDA4ROVyJIwQ1zzrIvy9/3kh39h8htLzD8fcDB7mCM6nR6vfrnenOAKDhL/VaDyejN67xUahyo0w6MjplkXlUhqpSfbThYgRSAn1HrlG/vXWb5XYqfgW1OGiG7no8eHKxlWq+bpiq5jp6pdfm7LSq2WTD0HnX1OLd98FFqd/W298dUGzPh9t/lngV3hiIiIAg4TXUREMl03rCOiI4LxxS87YTAYcLq8FjV1WqeN6AGLHjIu7tvyHnTqeytc2sbp8pZDv8Rv5LzdjD7CixVdahcqNeTmAEzN6F2tYrF8Vmiw9MRcu0TXkmImlhVULeW2i3Fr23IEaex8TRE5Fwuy4kW3I3XyAPJ8YnTRusMuP7ehUSdxTcfX9o4DpQ6Xz17U3IcxoHvcERERtVFMdBERyRQRFoSxlxRgW+EZbNxzCsVNjeizUp0numCedVGZm6ejp6Q1RbdU1qLBvaMclnkmRi8VNUR4sUeXN5grutzoS+SK5Lgw87819pJFTiTFhYsu65Gf5FJM7rA8/Vpz/7G2wFlVliO+yDkxzUVERBR4mOgiInLBpQOykZYYgS9+2YlDx5sSXTIqupQy+Y2lqK03zsBYWdNgTroBxqGNn/y0zSapZtnnyxlvV3SFe7Giyxs3sBq1IFrR5a2b9pAgNW4d1Umx7fm6ZdHpMnnN6FPixZN25H3uzLqo1Xs5Ywwg3GLY7MrNx7y+fyIiIpKPiS4iIhcEaVS44/IuOHyiCj8vP4DE2DBJjdTNQxcVTHLc+PSvAICnP/oL97/1pzmx9ej7K/DLX4dw7HS11Ux11S0aMzvKW6hVKqfrKCnCiz26XCE33xekMQ5d9HSDb2c6pMfKe4K/Dddy4wQc2V98GCZ5nzvVrKu2Hpe87pw/97u8H0uW/eH+PWMDAOBcXaPTyjSDwYA5f+63+bwlIiIiz2Oii4jIRYO6p6EgKw5V5xqQLaGay5I7M4+JKT5hHMZYWdMAAOZmy099tArjX1xovvFrOQOZo+yN2tSM3ltDF71Y0eUNGrXQ1Izet4mjIHVg/7p3pyG4v+Xs2rrCoxVe2IsBXy/Y7Xw1CY6ftm6eX1evxU3//A1f/LITAHDwWAUqquttnvf1gt344pdd+PjHbYrEQURERNIF9jdfIiIfEgQBE67sCgDIaSc10SW/G/39N/TEPyf0Q+9OyXjyjvNF1wsNVgMA5q44YE52AUB5lfEm7ItfdmH3obM4UVojed9eb0bfynp0BWnU0OsN0Nmt/vBeBiY8TLlKOSHAmmQx0dU2KfW+z1t50Opn01DxZRuPAgAefHsZHnl3uc3zvl9i/MPCmQp5Q22JiIjIff49RoSIyM91zU3AsxP7Iz8zTtL6rsy62C4pAud1SMSAbmkAgA8fG4b73vzTah2d3oCYyBDUnT2H75fsN99ktfT4BysBAImxYZh09Xl49ct1Dvet9nIz+nB/H7oo80CYZg1sbPR+byFLcuP2l9yQKanmVm6Nma4252xlvUhyWTmWvcZOOegbV1ZZ59E4iIiIyJZ/31EQEQWAfl1SJa9rul+XOpTtnYeGIi8z1uqxII3aZr2xz/xmrjSQIiYyGJkpkcaYHM266OWKrvjoUK/sxxvap0aZZ61s0OpsltsMIbXD5aMeYFVXnsQ0V9vz07JCj23bdD5J/Qw/fkZ6BS0REREpg0MXiYi8yZzpkrZ6yyQX0FwlZElOkgsAQoM1zdUyDtZTqb2bMIkMD/bezjycAUmMCTO/Vw12KrraJUV6NgAP8UW/sfoG20ShVI5m+bt+eEeXt0ttk6kJvdTLINjO5zURERF5Fn/7EhF5kWkImTupAstE18SruomulxAjXh0VEqSWVC1knnWRFUIA5BVK3Tgi3yLRZZuo8eohlbkvfxnt1y4xAgCw4O8i1zfi4LXccUUXzJ82xvVttzEqfgyYh0RKTfiOGpTjyXCIiIjIDia6iIi8yNyjy41MgmWiKykuTHQ9R8MAtTqLCiNHsy6qnFd9kX1qtWAeuthoZ+iilKPqJ/kmnwkOsh2mK1dbP4ZKSk+O8nUIPqdr+uzUG6R9jvNvBERERN7HRBcRkRfJHLlol2Wiy9GQrtBg8TaMZVV1krJXarX7FWhtlYDm96pB6+tm9Apuy4/v3NOaKsAs+WKoZevFY2n6I0FtvdY8jNERnn5ERETex2b0PlZWVgZdXTnOFS/xdSh+S1dXjrIyL/btIfIkV6ZdbMFUJQQAcVEhouuZkixhIWrU1lsnxLRag3kYpaO0hWnoIpMFrnE0dNGfGRycoIF2LpjOYXJfgL31HvHvrzeY/z3tm01O1w+064WIiKg14Lc/IiIv6lWQBAAY1ifT5W1YVtT0KkjGMxP6oXteos16/bqkAABio2yHMA7plW6xPfF9mYYuOmroTfYJguXQRd9WdLVl1w3L83UIrQY/BoDiE1Xmf6/ccszp+geOVaBeZqK7rKoOpRW1smMjIiIiI1Z0+VhcXBxOlDUgPOtiX4fit84VL0FcXJyvwyBSRLvESMWbX/fvlob8rDjc/q8/zI/lZcQgPCwIAFDQPg4lLaa4v3lkAU6Xn3O6bU3T0EUpQ3T81aDuaVi9rcTmcXcqLTRqAVqd8+ebKrrk3ugqzZ+HGyqqxVvSr0sqQkP4VUcprE5ybt/hMoRZnHM7D5bi3Vmb8MTt50vehumznBMlEBERuYbf/oiIApAgAFcMbp7NK7IpqWUSpFFjaK8MGAwGDO2VgfpGHf7eXmKxvLmgV3AweFGtNg1dVCpy74sMU37o80M398ZbMzc6Xc9c0dVoW9HVVnJP1Hqcq9P6OgS/N/W9FTaP7Sk664NIiIiI2i4OXSQiCkDz3hqDe67pbv45SKPGR48Px7N39m/6WQWVSsDwvu2hVqvMwxitSEhemYcuBnBFl5IJJdO2sttFS1q/uRl9YPXocrfneO9OyW6HEBIsf8bFlr3FmExUlk7PIbhiWlbNWgrcT08iIqLAxEQXEVErkZkSBVVTYsqyYgsA6uzMzmi++XKQDFCxR5fLBMF/mtF7O+FzslT8pl+K7169ArNeulyhaEgp/BgQN+m1xaLLXD1uZyvr8NEPW80zPRIREZE0THQREbUijU2VQ5YzMwL2E10mjnIgqqYMCW9wW5B4PEzvQ0Mba0ZfWdPo1vPDQjQ2yVopuuQkWP3M81ZZ7NHlWG29/aGdpuNWXlWPMY/Nw/YDZyRt7+M527Dg7yKs33VSsRiJiIjaAia6iIhaEdPsfi2TBPVNia4LerTDv+8fInl7poou041aWx8JZmrqLuV2X4Bgfh9a9ui6YnCOV49lRnKUrPXdTWcoXUGWnhQpab37b+hh9XPfzu4PoaRmNezR5dCWfafsPm4wAIvWFuO2f/0Ovd6AOX8WStpe85BxJhiJiIjkYKKLiKgVEUt01TUYb1A7Zsahc048AGnVGU15Luiabrh4uyWPWI+ue6/tLu1YKlRB40p1lDv6d01VdHvREdImFAjSWPf1SooLVzQOIkd+W1Vk93EDDFi++WjzzwYDdHoDdE6GJJoSxiykIyIikoezLhIRtSJZqcYm6X06WTefN1V0WTb4Nt08Oaq+ac09utx5RZKGcAmOZ130JF9X3uWmxyi6PVcrxBrb2JBR8q0t+0/bfdxgsE1W3fb8AgACvnlplNXjR09Vmf9tWUH6618HERsdigNHy3HbqM7mZURERGSLiS4iolYkLzMW37w0ClHh1hUwnXPiseDvInTMjLXzLPEbJvONFvMFsglQYNZFH93MutuLibfgRM0qaxqwrbC5L1dxSSWqztn2sTt0vAJTpi2zeVyvM+Djn7abf77h4nyEhfArPBERkRj+liQiamVaJrkA4KLeGehdkIyYyBBZ2zInulokPob0TMfKLcdcD7KNaE502WYKmQySjtUr1Jqcqaiz+/jpslqrn7c3Jce0euvPD14NREREjrFHFxFRGyAIgmiSy1EOQS1YD100rcrZ15wTBKF51sVGFyu6AlxB+zhfh0Dk9/YdLsPWfadtMljVtcaqrx0HSq0XMNNFRETkEBNdREQkSmj6LWFKdJnSW221wkbuyzYluxoDLNHVr4ubzeSbDpRlTzgism/qeyvwzCerRfNXC9cWezUeIiKiQMdEFxFRG2WqynLYjN5U0aW3ruBqm2ku1wRpBPtDF/04WdgpO150maQ+/Aq/ND8+VAGpUxYr7fyF5WfrkvVHJD3Hnz87iIiI/AETXUREbVTz7ZWEZvQGZ2sGHndGX0p5rimRqFGr2+zsfyo/viHPTIn0dQg+w0SJrfM6JOLWUZ28vt8xj80z/3vVtuNe3z8REVFrxEQXEZEfeuL2vnhmQj9fhwFV0/2wnj25AACCjFSf6YiZGtK3JmkJEQ6Xm46SUvkUZ8f9ysE5IkscnbdM9kgxf9oYX4fgFeMu6+TXiVkiIiKSrvV9+yYiagUu6JGO/t3SPLsTCbkrlcq6oqvl40rq7GC4nL+R04xf0woTXR89MRxz3rhSfIWmhIFSlUPONtMtL1H2Nj1wCttonxrl9jZiZc6UKoXl8Zx8XXdOGgD/rj5syV6kuw+dxfpdJ7weCxERkT9qfd++iYhIFkf3d4JIjy6NWoXHb+3rybAU4yjZ8unTI1zapqQ0V9NKQWo3ftX6aSWdRq1CkEa80XxYUxP6vp1TvBKPK7OARoYHeyAS5V15gVi1mussr4neBcn416SBiu8j0AgB9I3Y3tn++Acr8eJna70eCxERkT8KoF/rRESkJFNVVmRYkM2yxJhQq3XsDV3skqtsBVZIkGdm6BNPghiQ6mQIng0Xij5a49BFZ0xJpJSEcEW2V15d73C5wYUWaJcPynYtGC/7c6O0BuWuYr8uI5Ug+Gte2cbM3/eY/7113+k22wOQiIhIjMbXARARkW9kJEfi7jHdMKRnus2yh2/pjYKseOw+VArAtYoZuR65pbfH9+FNhqa6i9Y4dNHfuNJDTu1OpZ1ECg3cVGQrvt2D/xOE5mvW3/20rBB3ju6KwqPleOaT1Rg9JNfXIREREfkVfvsmImqjBEHAVRd2QFx0qM0ylSAgJEhtMXTR8/HYiyOQGZQYuhgg+nVJtfu4UgmUnLQYh8td6WPVVpM78966SvYkATeNzPdMMH5EMGa6Asbpslps238GAHDkRJWPoyEiIvIvrf/bNxERuczR0MVAoeTQLPOWZBwOsaGL3qiS8xZfjX4LaeoF1iEz1u5yR+99Wx2yJwiCrNlDAeCmEa0/0dWyGX1aYvOw5ptHFng7HKfufHkhvvhlJwBgy/7TPo6GiIjIv3Dooh/Q1ZXjXPESX4cBANBr6wAAKo3/VFbo6soBeKehMRFZU4k0o2/r4qKlVxD5YuiiJ3M4/nQmaFQCHHXvyncwm2Cg5Lk8EaflNqVtPkAOlhtaFnQ9cENPPP3fVQACZ0gjERERGTHR5WO5uf7VV+HgwYMAgNxcf0ospfjdcSJqK0yJrtZUfWTSISPW5ecmxIRJXlds6KKkIxoo2RgRXquaEjk/Hc4o6qFQLOWmx6DYzWFl3jiEzvbhqRhUAuAvOXTLZvTXD++I8/ISfRuQi46fqUa7xEhfh0FERORTTHT52N133+3rEKw89dRTAIDXXnvNx5EQkT/Iy4zFoO5puOXSTr4ORVEqlYDkOGVmBBRjSg6KVXS1ptyhz16LkwxMkEZ8Js+uHTybyJg/bQwmvbbY7e2MviAXH/24TYGIXOepXJs/XQKCAPOJrFa3eMX+FKgTpeV1SEuIgN4AqFWBnSgnIiJyFXt0ERGRqCCNCk/d0Q9ZqdFWjwf6UJ5LB2S59Dw5FUqmIyTWo4tsvThpoN1+SGKHfeLorlCpBISG2P+7XWRYkNXPXXMTAACP39rXZpknlJypcXsbsVF+0ErAyXk/rE+GlwLxHMtrW24PM38iCMCHP2zF1Y/N83UoREREPsOKLiIistHqG3V7I0/XhmZdVEqvgmT0Kki2eVysYmxk/yyM7C89aRkb1dRbLYBO7+5eGELn7Hp3VhiUHO/Z6khvUKmEAE/fGwmCgD/WFPs6DCIiIp/it28iIpJNgNCqht55QkRTxZB4M3oJB5AHGUDgVxC6w+M5Z8F53s9ZIsyfT9P4aGkVcYLQ/DpavtxAGgLYcvZIIiKitoiJLiIisuGs+XxbTTzIuYXMTIkCwKGLSlBsKFnbPG0dEqRkupyIj5I+C6n1vj3PUY7q4bG9LNYTzJ9rpqdc2CvduKxlzy4/JvDjhoiIiIkuIiJq3ezdosZEunZjLlWXnHjzv1vL0MUJV3YRXRZoiU9fF730yk/ybQAtuDtUedSgHIQGizf+96WO7eNEl4WHNvdpEwShORHadDwuH5QDADjPwxMXKIkVXUREREx0ERGRHa2pR5e9FMyNI/I9u0+LnbaFWRdJHn+6vuJjQkUrq3p2lJaQU6kEDOmZrlxQCnn81r648WLxa93ydQsCkJpg7DWW0tRzrGtuAuZPG4N2iZGeDFNRlqeWZWVu1bkGH0RDRETkG0x0ERFRm+PycEIX8hOtbeiivWGtYkk7P8rnkAi1ShB9n166d5BH9y011/vQzb2cr2RHdrtoh+dgn84p5n8LEHDx+e3x8r2DbGaRjHVxaKYvWA7z1Tcd4E17T+GWZxdg095TPoqKiIjIu1rXt28iIvIKxXomeYGvIxUbuhh4FV2+PpLuC7QhloHElSq1WIlDiDUuDv8VBMdxWW5XpTKu26Njkl9V3Lml6UNm96GzAIC9RWd9GQ0REZHXMNFFRESyMWEgnVuzLpKizLPq+Tpp53d5FPcDciU3lBQX5rFtG58nQCVxxkR/S251yhLvLeaI5evVK/ARYzAYsGT9YRQeKXd/Y0RERF7CRBcREbkk8CqS3Cf1ptlSkMY/m3TLJ/6GZyS738PolcmeHSZnxYWcxpQbe4ouu3VUJ1nbktMw3BsJGHd2YTnxglye/gwRAGSlRpl/7pARI76uf+W5cPMlBS49T2MxQ2TLYcauHO6VW47h3W8343+/7XIpHrme/WQ1Pvh+i1f2RURErRcTXUREJJurFTGuJIr8ibMERY+OtrOzBakD+zVLoUQj8u558mYiHNmvvdv7lLW//ll2H2+fGoWbRshLSvh6ZryWu3cnmlcmD27apudek7PPm+y0aPvPEwQIgoC7xnQDAGSl2l8PkP+e3HBxR1nry9WnU4rzleww2Pm3o5dmMBiwYvNRNDTq7C4/fLIKABAS5J2E/ZZ9p/HHmmKv7IuIiFovJrqIiEg2l4cu+qIMTMH7b2c3w7dcaqzssayk0IhUdAVeRZz4a/dF3iYjOcrhciUTYRefnym6zN5LT0uIcLg9lcRvXw84qCJTlBtvoKnPlTdPgc/+ObJFDPb3bnpZEaEaq5/tryv9FSTGhOKmka5VXHmcxeeKQcLYxW2FZ/DmjI348lf7FVuVNcbZGnVKjIMkIiLyEia6iIjIa3xyq6TgTp3dC9urPGltsy7KoVQvLHuJVWfVgRNGd1Vk3wDQOVt8eJ4rlUxynuONBJIS+1C7UK0p+TC0WC85PtzFDYlzFv78aWNw2cBsAMANI/Jder3eYHmlnK2sQ/GJSuw7XCa6ftU5YyLrbEWd3eWmRJdYxZelXYdKHe6LiIjIW9rut28iIvK6wKtisuZSjy6xWRfdDcaPeL7Xku1xF6viMQkP0TjYnsz9K1yyFhkW5PY2Xr7Hiz3NJBh3WSdcNjAb6UnS+7U5SoTGRUmbkdG4HZHHm963jBRj9V/n7ATxbUh4jwWRf/uT8qrmhNU9ry/B/W/+iY17TgGwf53qdMYHxRJ3VU2JrkatHgBw4Gg57n51EaprG23WfeKDvzD1vRVuxW/PidIazF6016bnGBERkRgmuoiISDJ/a9jsbVL7+FjejonPuqis+GjpiQFSjpxronN2PO64oou5Z5TTbTtY1iNfXk8zh/tR4LqODA/Gfdf3kNXLyWHvKNEf5OuUFY/PnhmJS/qLD2eVcgws1/HGJAGP3dpH9nOe/eRvh8sNBgNGT52LGb/vxqptx1FbrwUAqEQSx+aKLq2xouvbRXtxovQcfliyT3Zsrnryw78w4/c95liIiIicYaKLiIgk89Qf1O01cVeMkj26nFR02bv3FavoUtol/bO9sh9fcKknnJ03w9WKEEdvu5zhmSqVgOuHd0R4qIyKLg/kU1rG7KmkTfc8x9e11P06e//FNmP5cHJcuMP9SUli3zqqMy4dkIWLz2/vlaT/hb0yFN9mfdMQxNmL9uH1/63Hx3O2AbBf0fX2NxtRVFIJAGho1DetZ/w8+/HPQrdjKT5Ria9+2+X0uixtGlbJPmFERCQVE11EROQSlxvSB7DE2DDZzxHt0aXw4XN24/3R48Px9PjzPbL9lsvMN65+WgEoN0nhKEEi+PCbVH77WJee59Fr1+JQ5abHuL4dy6bqroYr532WsG5UeDDuv6EnQoLUXqno8oT6ButeW6bkkbrFDAkNjTr8ufGo+efGpoouy2S/3sXEk1anx5Rpf+L+N//E90v2o6ZpGOTuQ2cdP69p+CQREZEzTHQREZHPuXoj+8Fjw5QNxIngIPm/NsWGLiqdbHB2DDNTojDwvHaSt3fVkFw3I1KOK03t7T3D1fPMYaJL8oOuJNgcL9d4qVqwpahwaRVpzpJBSueKWs6OKee8CdTElRzfLtprk+gyMVV0zfh9N776bRduePpXq+XNFV3Nx6muQSu6r73FZzF66lxzRZilqpoGHDpu8XjTsX/p87U261om0xp1THQREZE0THQREVHAykqN9nUIVvIyY3FR7ww8dHMv82PeGrqotJY5ITlJotaWNHBczWa78JkJ/eyu60pFoD8ey7TECNFlluGaciJy+sc9Oq4Pvv7XZVaJYNO/BnVPw3evXiH63NhI6fsJbpGA9oejHB4qPoGCUupFZk80JbBmL9qH75fst6nWslfRZervZc/3S/YDANbuKLFZFiTSx63eTuJMb/HB8/RHf3H4IhERSRKY376JiMgn/PCe269o1CpMHdcHGclR5sfEhi5eO6yjt8Jqk5Q8Vx1tyt5+2oskYG8aka9MQD424nzxpu7JceE2j6lU0r9uxkaFILbljItNyQ6NWoUwO7NpiiVhHZ0D//f0CKuffVUdZyk1QTyBqBSxKiyxZvSA8TOsQWtb0XWuTjzRtXbnCafrmFRU1wOAeR+WLBNbZyvrzesSERE54vvf6kREFDDa/OzuLrx+saGLowZmY/60MW4GpJz+XVOtfm7ZINqVxJEn86Lubdv62Y/f1hd9OiWLr+1w6KL0SCwToFL075Yma32pXBkKamnUoBzRZQ/d3Es0UdXS8L7GoYZWlW4G8ac4i7vl++TonE2Isa6uczbRhFd44fNVbOjivBUHUd3UK6ulnHbRaGjUwWAwWB2nc3X217fkqOrL5N7Xl9g8tu9wGdbsKLGpLGOfLiIikoKJLiIiIifcqfYIlKGLNokFN266XZ3dUI4+nVMcLpcz5G9Iz3RcOiDLwbYc7Ufybqx0zo53uk5UeLBrG/eh8NAgDDzPNkEXGxlicx2ZhkCm2alksjyFTP8UO9a9CoxJyr5Ozgl/4GgCAW9M8PHUR6tEl3384za7j/frmgqDAdDqDFazU0qp1pKS6LJn6nsr8MoX62yGKmrZp4uIiCQIjG/fRETkF9rq0MVRg7JFl/XMT3L4XNFZFyVo6wV0JvYSAO4M87J/HrtWtTXcwTA+RzpJSHQZ9608X8yY+sVzl+D71+z313IWj2k4pNgsjnkZsZg/bQy65iZIiqVjZqz535Ov644LekifpMFdjs4lX1fMnqmotXksv30sgjXGnlqNWp310EUJSSxXE10mLSu6vvljL+obdThbWYdDxyvc2jYREbVenu96SUREAUdSQotZGADAxKu64YG3/hRdLjZ00d+0fM9b49s76ZrzEBKsRu8C8WGK9ggO3sJ2LibcbhvVGdlpUXhn1maXnu/Xmk4e0zA3A2yrIp+Z0M/JUMTmM7BrbgLefXgoctrZT3SJsVfVN/uVy62Sz5cPysHlDoZiylXQPg57D5c5iEmxXSmuvKrO5jG1SmVu3N/QqLcauvj6/9YDAJ68/XwMFkkWSk10rdp23O7jOr11BdfyzUfRISMGM37fg4ZGnV8N/yYiIv8RGN++iYjIqzxVWZAQE+qZDTvi4YyNs9Y+gTJ00ZGU+OYG41LODVOCQambend7Spkkx4XjsVv7ItjOrG9V5xpc27+LoQVpVOjbOdX5ig64OiOjUsdTjGmmPNMwN3vnjNz+Yx0yYmX30bK3dnhoEII09mf9c9fPb16F1+4bjH5dxN9Xue9Z/66pGNnPtapBuc5W2ia6NGqV+Xpp0Orsvgf/+22X6DbP1Wuh0xvwv1934c+NR0SHHpqSZi3d/q8/bB6bt+IAGkRmjyQiIgKY6CIiIg966Z6BVj8/Pb6f3fV8PWTHk9RqldNkmBIsh39JuZm+99ru0DiYaU2JZvRK8cZQu5a9gKTy9HHx5wogZ1xNxAEKfSZ48dj17pQMtUpAkEaN5Lgw50+ww15vu2fu7I8pN/VyNzxJauttk0dqtYCgpkTX3qIyq6GL5nUcfMDV1mlx4Gg5fli6H29/swmTXluM+SsOuBXnmYrmhNyyTUddvnaJiKj1YqKLiIgk65qbCAAY1ifTpedHhgUpGY6iQoM9U+UBuNfM3lOS4sKQlxHrkW2LNaPPTot2aXvRXmjKrnI0s6KHEibeaNrvC6a+SlHhxuv9soHZsrcRaEcmyWLmSEeJF0dVaf74mtUqASFBxs+vt77ZaDd+h4muei12HSoFADx4Uy8kxYbhm4V7FYtv2syNmPPnfsW2R0RErYP/ffMmIiKfE7uxT0uMwPxpY9Cjo+MG7GLEbuQsh8b5yqSrz/PYtt1pSO8rNpMwKnAXHh/t2tDVO67s4v7OnXB0sy4l0eWsiqdDhrz+UhZ7d/F5vmM6V0JDNJj75lW4eWS+/fXcSO1MuLKr+d9i74+nh2iaPHn7+bjb4vMjKzXKZh1Tsu/aYXmi2/HHvKdGrUL3POPnfUp8uEiiS4Xyqnq7zzcmus4iLSECI/q1xxv3D1E8xiMnqxTfJhERBbbA++ZNREStytPj++Geaz2XZJLK1aodKcOzXO0JJCekjGTbm2uHnN1Ue+Km28VjHBrs+blzVO5+I3JyHvzbxRv8II0K11wknhzxR5Y9ulQqwek1YpmQioqQVr137bA89O/quMeZp4d9BmtUuLBnOgb3aIcQi75vlw/OwTsPD7VaNz/TODOko/5d4y7t5LFYASDChYpatVpARFgQLuyVbvzZzkFVqQXc9q/fzT9bViqaKro650ibZdQVVecaPbZtIiIKTC5/czx69CiOHTuGs2fPoqqqCsHBwUhMTER2djYyMjKUjJGIiLxM7uxmUtkbqjXwPHlNqQORo15Y9jw9/ny8+qX95sxi7FWRKEUQHCcNpFbOBF5tknPm1+6kHMdRxZgzowZm46dlheaf33loqIO1fc90nUtNNFlWduWmx5g2onRYivvxjdF2HxcEwWZYsLNj4Y3ZA12pLNU0ZYDDQjSobWos31LL5JdWZ71ORXUDuuQkyN63VNUOJpIgIqK2SXKiy2AwYPny5fj999+xdu1anDhxQnTdhIQEDBkyBKNHj8agQYMUCZSIiLwnLMT5rwf/vw01kh6n59Iwciu6EmNda2Ytl+WxaXkjbrlMqZxDy81EhGpQU6dVZuNuc/T+Oz83nB4iN8qLWibJ8jJjjft09Y3xcMbRFJWcSi6xbTjcT6B8CAHwhzSvK7lWdVOS3pToqrcz22HLt7lRa7tOF1Z0ERGRFzn9045Wq8WsWbNw8cUXY/Lkyfj5559RUlICtVqNjIwMdOrUCb169UJeXh4SEhKgVqtx5swZ/PTTT5g4cSJGjx6N+fPnQ6+3P52wP9Lr9Xj//fcxZMgQ9OjRA3feeSeKi4t9HRaRV/E6IFKOJgB7dEkx8aqueOhm8RnhnFV63TiiAABw1YW5isU0uEc7l54X7WDInBJD4NzahNI5EgcJolGDsh0+9cGbejrdfGp8BAAgLipERlDWrhicAwA4r0Oiy9sIlZCw9yTLKkvLc6jlsEYperrYF9Ga/BPJ1JMrLESD+gYdamptk0p7isusfm7UWn/nj44IRkZypOx9S2UvJjEGgwFllXXOVyQiooDm8BvAqlWr8PLLL+PQoUMICQnByJEjMXjwYPTu3RvZ2dkICrId69/Q0ICdO3di8+bN+Ouvv7BmzRo8/vjj+PDDD/Hyyy+jb9++HnsxSvnwww8xa9YsvP7660hJScG0adMwceJE/PrrrwgJcf1LG1Eg4XVA7vrPo8NQXmV9QxFYFRjKCXJx1kU5h0vpYyulWujqocbeUYVHyu2vIDj80f2+WHY8Oq4P7r++h+znuXwjLm3kosf7RcniIJZgJ9WHUmYQvXlkPgqy4tCrIFluZGaZKcYkUUKMaxMYzHpplFXfLF94/b4LMPbZBQCsq9vyMmIRFR4kqxLpmYn98c43m7Bq23GX43FW0XXVkFzktIvGe7O3mB8zndemKt8ykabzlrQ660RXl5x4Sb0MXdVyf44s3XAE7367Ge88NNRcGUlERK2PaKLrueeew3fffYf09HQ8//zzGD16NCIjnX8JDA4ORq9evdCrVy/ceeedOHnyJObMmYPZs2fj9ttvx80334znnntO0RehpIaGBnz++ed49NFHMXSo8S9u77zzDi644AIsWLAAV199tW8DJPICXgekhOy0aGypCpy/nHsyESG3N463Zouz2qfEA2Bvpjyps+eJzeSo5OvVqFWIDJfW0NxeLPaYoosMC0K1WPVIAGVxVR7OuqnVKvTtnOLWNuQcTnuvxpVzQGmWMbQ85HZaXTkUEqR2OelnMqxvJsZc2AEGA6yax5uYZo7MaReDNTtO4NtFe83LTImu8FDnVXItK7o82Z8LgN2+YWIKj5YDAHYcLGWii4ioFRP95r148WI8++yz+OOPPzB27FhJSS57UlJSMHnyZCxcuBBTp07Fb7/95nKw3rB7926cO3cOAwYMMD8WGRmJLl26YMOGDT6MjMh7eB0QKcsbQxfl5i7k93dyITnSYhdiCRa/qnay47w84/C5mS+OwqdPj7C7zq2jOgMAuufZH2rnyYoWuVRuNMb3HnMWtFWweRkW19+EK7t6JYZhfTIRExmCWCdDSjtkxCIqwnrUhinRVV3biLAQjcNr1jLRdfvlnTGiX3vXg5ZATqIrMcbY/7C0otZT4RARkR8Q/ea9cOFCjBs3DhqNMv0NgoODMXHiRCxevFiR7XnKyZMnARgTdJaSk5NRUlLii5CIvI7XAUnRSu4/vcLVoYu+5IkCpY4tKigCpQjKNAROpRJEE1amHl/BHhgup3SFn72EY0SYMbExvG+movsiI3WLzwDL3My1w/K8EoOcXGvLIaphTZVc5ZX1CAlSO7x2LRNdN1ycjygXquvy28fiH9f3kDQxSoOdBvliIsON5/mZcia6iIhaM9Fv3q5WcDnjqe0qpbbW+IsvONj6l3JwcDAaGjh9MbUNvA7IW5Ljw30dgssyU4y/zwwGA24amY8IB0N6CrLizP9++6ELPRKPK0kjqfe9lw/Khqz5K0131E56dAXM3J0eqsbyVaLPNJOeJVOiLiRYjam39MYHjw2zWn5hr3TjP5qOxWO39nF7EgEpQ15bS0K9ZRWdKzNmunu6yKkqVLdooGdKOB08XoG0xAiHz336o7/kB9dCkEaNUQOzERxkjOPqoR3w6Lg+ousvWX9Y0nb1TRnG0orAGVZPRETyufUn5rNnz2LTpk1YvXo1tm/fjpqaGqXi8pnQUGP/g5Y38w0NDQgPD9wbMiI5eB2QFFJuulrey5lu7jRqFS4dkIXP/jlS+cBsYvBUNkFo2j5w62Wd8e0rV4iueeuozshNjzE+S6Gkyd1Xd7N5TMkhaZbHrbvMGd965YusLzp0MXDTGb6M3NXjFh8t3utJAHBRn0xkpUZbL2hxGV3YKwN3jznPpf1LESjVflKpW1ybcnt0AUBMpHt9x+ScLaZ4TZ8DMRazkua3b07cd8217b9VU6d1LUALphkrTdWwg85rh96dmic3SIwNs1r/3W83Y9ehUqfb1eqaEl2ceZGIqFVzKdH122+/4brrrsPgwYMxbtw4TJw4ETfeeCP69euH8ePHY/369UrH6TVpaWkAgFOnTlk9furUKZthXEStFa8D8rS0xHDcf0NPX4fhFlOOQfL9qhdv3KXe0MoLSUY1iMhQzZZ5GX9KZkhtqN8aJMcZkwSWFVmmRGxIsP2hl9cN74jYqBDxJKYLpAzJdJTMC6T3zGYGSBdO/uuGdcSDN/V0PQgZma6Wn2/tkppHZHTOjjf/W0pzejnuHN0VMZHBuG5YRwBAtw7GnnchwWqrIbejL8ixee4TH/yFmhaTRehazMio0xt/LnVx6GKjVo+yAJpkhYiorZKd6HrmmWcwdepU7Ny5EwaDAZGRkUhOTkZERAR0Oh3WrFmDO+64A19++aUHwvW8Tp06ITIyEuvWrTM/Vl1djV27dqFfv34+jIzIe3gdkFJsEhu+CUMSucUxptXlVowFbu2SfFKPqb8dE41awDcvjTL/bBmft2L1RpGbZeLgoZt64Y37L0BCTJjddXPTY/D1vy5DTKTjRubeZKo6EgKguX7PFglCVz4LNWoVRvTLwpWDbZM8UlgmFl+dPNg8/Nruui0OqWXPrh4dE/HmA0NwxxVdZM8o60x6ciRmvDDKPKx9yk298OKkgchpF21VsRqksZ+Q/d+vu8z/rqxpwLjnFuDlz9fibFMFl66pokunN+BcncgMqg78tKwQ9/37T/MQSCIi8k+yfjvNnz8fP/zwA4KCgvDggw9i+fLlWL9+PZYvX44NGzZg8eLFuPPOOyEIAt544w2sWbPGU3F7THBwMG699Va88847WLx4Mfbs2YOHH34YKSkpuOSSS3wdHpFX8Dogz/Psjen8aWNceJa8mAJ5uB3Q3HzckxxV7Fw6IMuvE59SG2g7Og9cacJt3q7VPlzejIStG4WGaNAlx3YYmq9IyR//47oeGD0kF30Kkp2v7GMtzxNfVzOel5eIcZd1drCG7Tky/oouGN43E5HhweiUHY/rh3e0aVrvrpZDPIM0KvQqSIYgCFaJruAgFSJbfIYlxoRiwd9F2HnQOIRxT9FZ1NRpsX7XCfzj30uxdMNhaPXNFV6nyuRXdR08VoGqcw2oqKmX/VwiIvIeWb+dZs2aBUEQMG3aNEyePNlmCFNGRgYef/xx/Otf/4LBYMCnn36qaLCOzJkzBwUFBdiwYYPoOqtXr8btt9+O/v37o3fv3rjtttuwcuVKm/WmTJmCG264Ac899xzGjh0Lg8GA6dOn2zTmJvI3vA6IvMd03yr3L/v+ktyx11vHktWNuItBtxxaZrpNveHijrj/hp7majh/yxm2TEq4Gl9CjHgvLMDJ0Dt/Oyhe0DLJ4UxcdCgmXX2e6FBZf1DQPs5mtlF3ufoZ0vKUsqzGktLf77rhHfHw2N6i22jp+uEd5QUIx+eAZQVikEZl1SsMAMZf2RXJcWH48IctaNTqsKf4LNQqAe8+chHap0ThnVmb8dOyA+b1T509Z/73mfJa/N/P23GurhG/rjqEH5futxtDyRljP+LScs8OX2w55JKIiOSR9c1gz549yMzMxMiRjpsH33DDDUhLS8PWrVvdCk6qzZs346WXXnK4zpw5czBhwgRs3rwZ3bt3R69evbB582bcddddmD17ttW6arUajz76KFavXo3Nmzdj+vTpyMzkdNvk33gdUEBQIMvjLHngLVL6C7V4gmSmvjcZSVEO15v24IU2TZmVIpqEsfOw7GPhjyxelz+8Gk/GEBdtHH7oqCm9tz09vh/++8TFFo/4S0rYPW89eCHefmiozePu5DGVmmDDVI2VnhSBr/91mcjOpG3DJNZiaKujoZFiHCXcLBcFqdV44va+Vssjw4Mw+boeOHKyGj8s2Y+9xWXIaReNnHYxeO2+C3D3mG5o1DYnkE6cNSat6uq1eOnztZi/8iDW7CjBis1H8eWvu7B4XbHV9g0GA0pKqwEApRWu9fgCgOpzDaiuFR82WVpRi+uf+hV7is+6vA8iorZOVgdJjUYjeca1uLg4VFZWuhSUHAsXLsSTTz6Jc+fOia5z6tQpPP/884iKisI333yD/Px8AMC2bdswYcIEvPLKK7jooovYZJsCFq8DCjTu3OT5QxLCkidux9slReLFSQOtmj7bk98+DlHhQTjjYmNlqQwwKFpg5OthW075QTWVJ4fGXtQ7A0EaFQae185j+5Br4Hlpdh/3g7fCI8SugeuHd3Q65NX1iq6WwyeNW0qOC0d0hGvV2qHB1rcSowZl4+flB1Bbr7WpuJJCrRL/G7xlEkylFhAeGoSCrDjsLS4DYEy69eiYhAt7peO7JfuhUgkY2a9903YFXHVhB/Trmoqyyno8+3+rcepsLfR6A975dhOKjlcgLESNjbubJ+H58IdtSE+KQucc4+dweXU9aut1AIAzFa5XdI19dgEA8SH2FdUN0Or0OHisAp2yHP8OICIi+2RVdPXr1w/79+/HoUOHHK538uRJ7N+/H71793a4njtOnDiBxx9/HA888AD0ej0SExNF150xYwYaGhowfvx48809AHTv3h133XUX6uvrbapZiAIBrwPyJSlVBS1XUSK/4anG07Kb0Zt+g3ooadOrIBmhIdL/HuVulYdXZkQU2Ye/9TtrGY5VfCKhKn24lDwkE6/q2mLbAi7okS57qKCn+H3i04vuuKILrh2W53glF49Xy3db21TdZK+xu3nWRSf7ajnrot5gwCO39MawPhnISHZckWrJVJnq6Jy0vA5Nwxh1FkPHTdVld43phtBgNRoadSjIsk62pSZEoHNOPJLjwnGq7BxmLdyL1dtKMGF0Vww8rx027zsFvd6A3PQYJMWG4dX/rcPppl5epmGLgHsVXVJ5+g8YREStmaxE19SpUxEeHo57770XhYWFdtc5efIk7rvvPmg0GkydOlWRIO159913MXfuXHTr1g2zZ89Gbm6u6Lqm/kMjRoywWWYahrlixQrPBErkQbwOKFD5x+21e0yvQd9G7tI9+TL9LM+l2PmZlhjhZD/SburdPT5XD3WSOPFDbeSywkePD/fezlqcR406U6LL9R5nYS2S8Xq9AQO6peGRW/pI3kanrDhzY3kpvcIAQK02rqfXNZ8optcRFxWKSdech+AgNbrl2v8DYEp8OLbsO41vF+3FiPPbY8yFHdCnUzKqzjXiUEklIsOC8Myd/VDfoMMrX65FXYPWnOhSqwSUuljRJecPEkx0ERG5TvRPxQ8++KDdx1NTU7F//35cddVV6NOnDzp16oTw8HDU1taiqKgIa9euRUNDA4YMGYKFCxeiU6dOHgk8NzcXb7zxBq666iqoHJQ5GwwGFBYWQqVS2U0CZGdnQ6VSobCwEAaDwe/+qkzkCK8Daov85vz0lzia+M1xcWBIj3TMWLAHw/pkAHDSjN2HlDqULatd5OhdkOR0HaV6Nfmao+PdKvq/ORAbFeJ8JYW0PJYF7Y3D4kYNzLZZNyTIWOXl7Bw2Le/dKRk1tY24YnCO/LgsTgCpVYamii7LPzRYNqsf1icTQ3qmi84KmRIfjg27T6JLTjz+cX13CIKAnvnJUAlAfYNxeGL71Gg8emsfvPz5Wvxn9hakJkZApRKQkx7jchKqpk4reV1Xk2lEROQg0fXHH384fKJer8f69euxfv16u8tXrFiBlStXYsqUKe5FKGLSpEmS1quoqEBDQwPi4+Ptzhan0WgQFxeH0tJS1NTUIDJSfuNMIl/hdUD+znY4nPs35p667ZW7XdP6sl+TG4dAoxagbapgaHnT6tKxlfEUV5I/LWNMS4yw7kvjR3ka68bs0l+sO0kasURfRnIkHru1r91l1Fq4fvIrddkkxYWJ9onq3y0Nd1zRBZcPyna4DVNFV0RoEF64e6DLsZg+v6RWdJnWUzkYViyW5AKAXvlJOHisAk/d0c88dDM6Ihgd2zf3/AKAfl1Scduozvjqt92ICNUgOS4MKfHhKDruWh/iskrpyStWdBERuU400XX//fd7Mw6Pqa01/pIICxOflSo01Pjlljf41FrxOiB/4071kcpPKpfMPWxkru+On/59FT6Zsw2/rGrulalUxYsiibMWpFZs+UM1mmU/NKnhJMeHI6ddjOKxpCVGIDjItm9SW+JHOVCPcuXMd/XalHOZqVUCrh/e0el6piRRQ6POpZhMTK9I6meBumk9ldq2b5cU/buloX832wkQ+nRKsUp0AcYJAopKKrFi8zHkt49DQkwoNu4+6VIF/NmmKi0pTztTXssqeyIiF7X6RJej4VwmraX0n0gMrwNqVWR+5/fUqW1ODPno0lFk2J+DY2m5dU8dQ3/91JF6Y/nZP0d6OBKjiKb+RS2JxTnrpVHmmd0Cndx7/ElXn+e0N1pb5Yl8SXCQ8ftFY1NjezmuGJyDXy2S9oD0j3dTRZflUEclXl+fTsn45o891jEJAh64sSeqaxvRr3MKDADqGnQ4fLIKWanRDre3ettxFJVU4pZLja1cSpsquqwrSO1r0OpRda7R5RkxiYjaMte7TwaI8PBwAEB9fb3oOqZljqpdiAIZrwNqTTz2t23Z0y4a/+f1HLGHDkB6svcrOc2zLnp9z445iscbPaNa7iM0WF6vr8jwwL8xdvW6Gj0kF307pygbDIkKbqrociXRlZXaPCuj3PfblOhyNDzRFR0yYhFl5/oJDdbghbsH4ooLcjGkZzqCNSr88pfjWegB4LX/rceshXtR12DszXW2KdEV15ToKiqpxI4DZ0Sf743ZHYmIWiPR3w633nortm/frujONmzYgLFjxyq6TWciIyMRHh6OsrIyaLW2DSC1Wi3KysoQEhKC6GjHf5UhClS8DshXWt68pCYYKy3GXlLg8jb9ZRSHuUeXn9QlGQCXswO3juqEW1q+JyKb8sir9ZP31MRfzjFqA7x4snliCFxoiDHRFRTkesLJGJa8rLepkmvcZcZKqc7Z8chIjnL0FMnbnXBlF1zSP0t0nZjIEFzUJxNLNxxB9bkGh9sLDTYen/1HygE09+gKC9agvlGHFz9bg7dnbRJ9/mn26SIiconob6Xa2lrceOONmDJlCnbu3OnWTlavXo1Jkybhtttug14v/y8+7hAEAXl5edDpdCgqKrJZfujQIej1euTn53s1LiJv4nVA/iIsRIP508ZgUPd2Lm/D0c3a1/+6DDNeuMzlbbsSh1+O+pV5P9sjLwlqJ5URHrkd98uD58WeYTJefnKctGrbDx4b5mIwvuOnp4FHufOaXX2uJ87qvIxY3H55Zzx0Uy/Zz22XZKwivfj89ubH5A5dPK9DIuZPG4N/PzAEQRplqrtG9s/C0N4ZDtcZNSgbDY06LN901OF6+e3jAAC7DpUCaB66CAA/LyvE6bJanC6rRW29/dkYS5noIiJyiehvhO+++w5TpkzBihUrcP311+Paa6/F559/jr179zrdaH19PTZs2IB3330Xw4cPx8SJE7Fu3To8+uijmDVrlqIvQIohQ4YAABYvXmyzzPTY0KFDvRoTkbfxOqBAM7xvpuznRIUHISYyxKX9yZ51UeYT2qcYqw3CQ+UNQ7MhcpOr9E3sxefLP/5ymRtQ+1lJlz9WdE0Y3RWA89ic9QwKHG0j++XNZvSeuMwEQcANF+ebh+LJERcVgvnTxuCS/lkIaZp8QWqS2deTkuRlxCI3PQYL1x12uJ5pVspdh84CaG5Gf7ayDt8v3Y/YKOPvq2Onqu0+/0yF9FkaiYiomei3bbVajcmTJ+Pqq6/G+++/j/nz5+PNN9/Em2++ibCwMHTo0AGZmZmIjIxEWFgYqqqqUF5ejpMnT2Lv3r3Q6XQwGAwICQnB2LFjcffddyMtzXZ2E2+49tprMX36dHz66ae44IIL0K1bNwDA9u3bMX36dISGhuKWW27xSWxE3sLrgHzBnXsRUwPeQd3TsHpbiSLblOqiPhlYttHxX+pNN2R6iTed993QEyP6tTdXMbjL08mhnvnJ6JgZax5y40hIsPMZAguaKhvs8cfEkpiIMOmJSiVfl6l5daeseOU26iccHSfOOOdYaLAadQ3SZjz0v4RyczxP3dEPSzYcQYbEXoEqle9fyyX92uPjn7bjwNFydMiIBQDUNWhx5GQViksqUVRShf1HjDM47ik6C53egLIqY+Lq2OlqaNQqTLmxJ178bC2OnKpCyZka6PR6ZKY0D8E8w4ouIiKXOP22lpaWhtdeew1TpkzB7NmzsWjRIhw4cADbt2839/ASBMHmr0vZ2dm48sorMXbsWCQkJHgmeokyMjLwxBNP4MUXX8TNN9+MAQMGwGAwYO3atdBqtXjjjTd8HiORp/E6oEBV0D4eeRmx+Oq33QDk3/jKrX7o3zUV4y7t5DTR1bwDaauFBKnRPS9JVixyuFTjoVDRjOWNmZiX7h1k897565A1RwmB8FD7MyAqun9Hs2H660FTWP+uaZi9eB+uHtrB16F4lLt5vNaSB0yOD5fVu1HtB4muob0z8Nn8nfjkp+2IjQpBcUklSkprzJ9rwRoV2qdGIS0xEjsPlqK4pNJc0QUAYy7MRc/8ZKhUAoqOV+L3NUU4V6dF19zm72JMdBERuUbynyXT0tLw0EMP4aGHHsKZM2ewbt06HDt2DGfPnkVVVRVCQkIQHx+PnJwc9OjRA+np6Z6MW7Zx48ahXbt2mD59OjZu3Ijg4GD07t0bkydPxsCBA30dHpFX8Dqg1sDhkBU37vpkT7ro+/ssIyXicLINTyVXTI38/eVQmvldQP5XjeNpsVEh+PyZS3wdhsf4Il3pN59ZTdyJxx8quiLDgzGsTyYWrytGWmIEsttF46LeGchKi0ZWWjRSEyKgVgk4efYc7nplEdbvOoGGptkpY6NCcOOIfARpVEhLiMDSDUdwrk6L87ukYMPukwCMM0q2nHWxrl6LV75ch+F9MzGsj+eHlxMRBSqXGoUkJibi8ssvVzoWt3z99ddO1xk2bBiGDQu8Jq1EUvE6IF96ZkI/pCVG4L43/zQ/pkx+xDu3hJaxSqkaMyUelJp18YfXr8T1T/6iyLakkPQavXUv6Wd34M6iuXJwDtJbDrFy4TRoG7VZpDTLz6pALvBzZ1iqPyS6AOD+G3rg3mvPQ5BGfPh2clwYEmJC8dfW4wCAm0bmY0iPdHN1aGZKJNbsOIFgjQqP39YXuw6dxczfdyM6IgTbD5yBwWAwj5756Met2LLvNMJDNUx0ERE54GZHXCIiaqta3mD176ZMH8Z3HhqKsqo6bCs8o8j2PMV0j2ZQaDJhUzNmqcwJtgC+0fXX2J3df99zbXeXn+sqpRKq5B/cOU1ay7ngzjHwdTN6E0EQHCa5TOt0yUnAyi3HAAA9OyYhK6150oiM5CgAJ9C9YxJCgzXoXZCM3gXJ+Hn5AWzYfRI1tY2IDA/GonWH8efGowgJVuPwiSpJ8en0BqzZXoI+nZMRGiz9tm/On4XYVnga/7qb1f5EFJiUmYeXiIhIIXmZsTi/S6rFI9Y3NJ66wbHcrJw9eP2m0wf3d556heZZF/3jntVMqQbonbOVbxzfGpuzB3JVkqvcecnW1aduh+I7bsTuDz265OiS0/xZEB9jPUNlZoqxOrRflxSrxxNjjeudLq/FoeMV+GTONvTsmITRF+Ti+JkaNGqd/5Xlu0V78fpX67F572lZ8S7bdAQb95zC8TP2Z4MkIvJ3THQREZGfa3FL6Cf3N+aKLm/fpLfcnwePh72+UJ7o1+Unb6mZUvGM6Nfetf372wHxlLbyOh3wZuLS35Kk7vSd85ehi1J1yWluMB8fZZ3o6tMpBcP6ZOCCntb9jRNjwwAAR09W442v1iMyPAiPjOuNrLRo6PUGp0mobYWnMWvRXgCAVie99Lj6XAOKSioBAOt2npT8PCIif8JEFxER+SVv35TJvekyxeerYhS78bp6zKS8CHdnh7O3W38t5VHo3PO3xAKRPwn0ZvRyZKVFIyxEg/BQDUJDrIcQxkSG4JFb+iAqPNjq8cQYY6Lr45+2oeRMDR69tS/iokLRvmmW2yMnxYcvllXV4a0ZGxHR1AdMzmftrkNnYTAYZ41ct/OE5OcREfkTJrqIiMhjPHGf77H7G0Hk305W95tkjSthSD2WErYdERZk81hqQoSycXiJr/NTbSZB5ieXji8p9U7nZcQgPUni9dYK+EuPLqnUKgFdcxOQHBcu+TlxUSFQCUBlTQPGXdYZ53VIBACkJ0dCpRKwfpf9aiu93oC3v9mEmtpG3HdDDwDyKo93HCyFRq3CqEE52HmoFNXnGqQ/mYjITzDRRUREfik02NjgN7hFk3apSYB/TuiHi/pkmH8ee0mBpOdJvSEwV3T5+Gbdrfs9D8cu9abOnSFMnuBKNDGRxmoMY2NpaVxJkvpNYtVFD97UE+Mu62T1WIDlLJThxvtofQ4YD55GrcJ9N/QEAHTNTbB9EvzvOLuT0FWr/ezFSHD/DT3w1PjzJa+vVquQkRKFvp1TcP3wjubHQ4LUuGZoByzdcAR/bT1m87wflu7Hln2ncffV5yG7qem9nLNt58EzyG8fiwt6toNeb8DGPadkPJuIyD9w1kUiIvIYd+7Jrx/eEWq1gMsGZuOnZYXmx6XeGw3oloYB3dLw/uzNAJr7nUghJfEyoFsqNu09hfSkSMnb9QRF8h5K3DO6lLRRYL+e4MINeEFWPF6ZPMiqF4+S/C0Z6KoR/bJ8HYJ/ceFtNYj85GxT/nYGuRNPyz+ABIKEGOm/g0ymTbkQQUFqm6Gat47qjO0HzuCD77agY2YcUuKNf1TYebAUM3/fjQt7puPSAVkoOVNjfILED9tzdY0oPFqB64d3RH5mHGIjQ7Bu1wkM7Z3h/MlERH6EFV1EROQST882GBykxk0jCqBRe/dXldQcx2UDszH7lcuRlugnw4UEKJ858vCdsakqw99mUHM1mu55SR47X70+uyeRp7lx2Qdr2sYtTGiIxu7no0atwmO39oUBwFszNkCr06Oiuh5vztiAlIQI3HdDD2PFnGnSFIn721NcBr3egK65CVCpBPTtnIKNe07JamZPROQPZFd06fV6LFq0CFu2bEF1dTV0Op1oGb0gCHj11VfdDpKIiNo2y18zLStb7hrTDdPn7mhapuy+HBEEAeGhtn2pPE00PMtj5IMxSq6kYa4b1hG19VpcOSRX8XjcYer/k54UgWOna3wcjbU207+LxDm52ESHt/rZueNOlSKvA2MPxPuu74E3Z2zEN3/swaHjlaiobsBbU4aYfzeZjrFW6zxRpdcbsOPAGahUAjplxQEA+nVNweL1h7HrUCm65yWZ192w+yT2Hy7D2Es7iW2OiMinZCW6qqurMX78eOzcuROA8z4RTHQREZGnjbmwgznR5Y5Au28yxeuNuKUk/1wpJgsL0eDuMefJf6KHxceEAgDeuH8ITpR6P9EVaOeiu/x2CKsXKJWwEQTB6bb87bRqa+e5J1zYKwNb9p3G90v2AwDuvbY7OmTEmpeHhhiHeP7n+y34Y00x+nRKRu9OycjLjLOqFPvox634a8txpCdFIC8jxpwo65mfDI1ahXU7T5oTXSs2H8W0bzZBrzfggp7pyEyR3peQiMhbZCW6Pv74Y+zYsQOCIGDAgAHIyclBSEiIp2IjIiKyJfPm6NIBWVi07jB6dkxyvrJpFwFwA+aN5ICShyEogIYa3Tm6KwAgJjIEMZH8nuMxAXCdeYo7l6/1tW+aFMMQcBMVBMLnbCCYdPV5OHS8Au1To3H5oGyrZXFRoXjvkYuwdkcJNu49hVmL9uKbhXsRFR6EXvnGpFfvgmQsWF0EANhT3IBrLsozPz8sRIMeHROxbtcJTLyqK5ZuOIL3Z29GXmYs9h0ux5odJUx0EZFfkpXo+uOPPyAIAv7zn/9gxIgRnoqJiIgCzDMT+nltX3LvjQqy4jF/2hjJ6/t7LyRf3BtaHRMpYyftUHu515o7QoK92+g6PjoUZyvrvLpP8g+uXM/OPqM4rK9tCQ3R4O2Hhoq+77npMchNj8HYSzuhsqYBW/adwsY9p7Bp7yms2GKctVGjFqDVGc+rbh2sJ9To1zUV//1xG/736y7MWVaIHnlJ+Oed/fD0R6uwZkcJbrg437MvkIjIBbISXSdOnEBWVhaTXEREZJaWEIH+3dK8tj9P3cRZ9osJpPvEnh2TcOBohUcqjyyPtbN+OgFWTOJQZJj3e69Zai0zLJL3WF6rgVLZxYSccqQey+iIYFzYKwMX9sqAXm9AUUklNu45iU17TyEqPBghQWp075Bo9ZzzO6fiv9iGH/8sRJ9OyXh6fD8EB6kxoFsavl6wG6UVtS7NKElE5EmyEl0xMTFQqwNvOl8iIgps/l5l5Uu3Xd4Flw/OQVKc/BsNHlf7/PmmLVCSGJK0opfiKpdyPQb7P9hLdoy9pACzFu51fV8e5Eo4j9/WF5U1DYrH0hapVIK52stRVVZSXBgGnpeGYI0aD97cE0Ea473ggG6p+HrBbqzZcQJXDM7xVthERJLIGkcwaNAgFBcX4+jRo56Kh4iIAgVvUv2CWiUgOS7crW2I3XB2yYkHAMRGsU+Vtww8L83cI8xSa67y8rcEjDe4k680PTUsRI37b+hpftw05DY+OtT8mGXyy+/65Lnwvg/pmc6kig88Pb4fHr21jznJBQCZKVFIT4rAmh0lPoyMiMg+Wb/xHnzwQYSFheGxxx7D6dOnPRUTEREFktZykxogr8Ob+cXbLu+C/z4xHO0SI52uy7ynfPaSHU+P74fkeNvEJavvWivXP3juv6EnEmObqw/zMmLxyC298cCNPZtXMhhwzUV56Ns5xSpJ4Q9ac/K2LRAEAQO6pWF74RlU1zb6OhwiIiuyhi4uXLgQI0aMwE8//YRhw4ahoKAAKSkpCAqy38tCEAS8++67SsRJRETkFYEyMswbVTBqlYCMZM6o5Wly3kv2NWodBMH1zxpHw1eH9cm0ecxehSCREvp1TcWPfxbiox+24tpheUhLiECEj3scEhEBMhNdb7zxhvkLllarxc6dO7Fz507R9flljIiIlOapXy2Wm23Nv79mvTQKKpX16wuQ3B61UoGSXFaSEq9ZgBDQx64Vf8y2GVmp0QgL0WDllmNY2TSDY3REMIb0TMc915zXqn+XEpF/k5Xouu+++/iBRURETrnSGN0hi5s5/h5yT2R4sPnfSg4dCuQbbvIRXsouJXvkXGq8LMmTIsKC8NXzl6KktAYlZ4z/7S46i19XHULP/CQM8OKMzERElmQluh544AFPxUFERK3EW1OGICU+AgCQmhDh1X0rlQPz1f33DRd3xNFT1ZLW9bvEkt8FFDh46EgW0/kiBHZVFP9o0TqEhmiQ0y4GOe1iAABanR4Pvr0M0+fuQO+CZAQH+VdvOCJqGxSZfqWhgdP8EhGRUUFWvHmWvrTECMx44TIfRySNP9xz3X55Fzw9vp/DdXwdplhOhrkaIvlcuZ5z040JBcUrZ73MHz5zSXkatQqTxpyHk2fP4eflB3wdDhG1UbIqukxKS0vx5ZdfYtmyZTh06BB0Oh3UajXat2+PCy64ABMnTkRKSorSsRIRkR+RmtiIiQzxaBxKaQ1VNZ58Cbwp9Rw5x9ZRI3JqG64f3hG9C5KRlxmLnQdLHa7rz6cLP1Jarx75SRh4Xhq+W7IPw/tmWs0OSkTkDbIrujZu3IjRo0dj+vTp2L9/P7RaLQwGA7RaLQ4ePIivv/4aY8aMwbp16zwRLxER+Rlv36y09YSLlPtWqYfIwDqsgKFkPzW/wdPPpQ80lUpAXmas8rF4W1v/MG/lJl7VDQa9AV/8Ij5xGRGRp8iq6Dp16hT+8Y9/oKKiAl27dsUtt9yCrl27Ijw8HFVVVdi5cye+/fZb7Nq1Cw899BB+/vlnJCcneyp2IiJqIyzvhz11w291zxUA919K3iMqsSl/rhwJBPff0AMNjXrR5XKTkq9OHoyn/7vK3bC8gvkO1wXysQvg0EmClPhwXDusI75dtBeXDczGeR0SfR0SEbUhshJd06dPR0VFBa644gq8+eabUKmsC8K6du2K66+/Ho8++igWLFiAmTNn4uGHH1Y0YCIiCjxTb+mNPzce9XUYLhvQLRXzVx5EN35Rd4CZLndcOiBb0npSG3iflxc45yqTpK5zduz8uWozkJN0JM11w/OweP1hPP3RKsRFhSA1IQIpCeFIS4hAakI4UhMikJoQgbioEE5OQESKkpXoWr58OUJDQ/HCCy/YJLlMVCoVXnjhBSxZsgSLFy9moouIiHBRn0xc1CdTkW157ruwccMGg8Gmaqx7XhLmTxvjqR0TuSU9KQLHTtf4Ogz5eF/LQ0CtWmiwBq/cOwh/bT2OE6U1OFF6DjsPlmL5pqNWSdrgIDVSmxJgzYkwYzIsJT4cQRrO3EhE8shKdJWUlCA/Px+RkZEO14uKikJeXh4OHjzoVnBERETewj8mu4dVOfLxmFFbxgqetqFdUiRuHJFv9VijVodTZbUoOVODk6U1KCk915QIq8GW/adR36AzrysIQEJMGLrmJOC+G3ogLMSludSIqI2R9UkRHByMqqoqSetWV1dDo+EHEREREZEjvN1vuzye6/HjZCrP+7YrSKNGelIk0pNsiycMBgPKq+pxovQcSkqNibDjZ2qwYssxnC4/h+fvGoDw0CAfRE1EgURWJqqgoACbNm3Ctm3b0L17d9H1tm7diuLiYvTp08ftAImIyD8ZWnE5SiAUGrTiw09EbUEAfM6S9wmCgLjoUMRFh6JzTrz58f7dUvHmjI14+fN1eGXyIFYEEpFD9httibjmmmtgMBjw4IMPYvv27XbX2bZtGx588EEIgoCrr75aiRiJiMiPeeO7JpM6/kMswcm3yHd4fQSutnyz3pZfO8l3QY903HhxPrYfOIPaeq2k5xgMBpRW1Ho4MiLyR7Iquq677jrMnz8fa9euxY033oguXbqgS5cuiIiIQHV1NXbt2oXdu3fDYDBgwIABuO666zwVNxERtVEqBzdHnrhx8td+IEq81Nz0WOw7XI7I8GDn+3O2ArMtXmEv0Riwhz5Q41aASgD0bfj1AyzoIvnSkyIAAGcr68zDF6vPNaD4RBU6Z8dDpbI+q3YeLMVTH63Cvdd2xxWDc7weLxH5jqxv74Ig4P/+7//wr3/9C3PnzsXOnTuxc+dOCIJg/uKlUqlwzTXX4NlnnxWdmZGIiMhlHr47annv+dXzl3p2hz406epuuPj8TLt9UsjzDG0502OhLRb2vP3QUKzdecJj2x/Zrz0WrTvs12dYW3zfyT3xMaEAjImujOQoAMCM3/fg11WH0D41CtdelIcLe2UgSGO8Bz1XZ6z8+r+ftiExJhT9u6VJ3temPafw66pD+OeEfjYJNCLyf7L/TB0SEoLXXnsN999/P1auXImioiLU1NQgPDwcOTk5GDJkCNLT0z0RKxERkceIfY0N9dOKLiUEadTolBXvfEUJ/PmG2u/JuOO3W7UY4PdgAVuR5oYOGbHokBHrse2nxId7bNvKCfATl7wuLqop0VVRZ35s16FSpCdFQiUIePfbzZixYDfGDO2AS/pnmdeJiQzBv2dsxKuTB6HA4nfesx+vRrcOCbhpZIHVfrQ6PT6esw0lpTVoaNS16u8BRK2Vy1dteno6br75ZiVjISIiciomIsSzO2iDN91SJMSGAQDSEiN8HAm1GsxztGms6CK5EswVXfUAgHN1jSguqcSNIwpwy6UF2LjnFOb8WYjP5u3Et4v2oSArDgAw5aZe+OSnbXjxs7V4c8oQtEuMRFllHbbsP43dxWdx2cBsxEQ2f7dYsv4wSkprvP8CiUgxomMLa2trUVtba/cxOf8RERG5zaLk47rheR7ZhWWlDJsk2+rfNRUvThqIq4Z0sLu8LVblEPkLsY8sf54dl5+yJFdYiAahwWqcrTRWdBUeLYfeABRkxUEQBPTtnIJX/zEYb00Zgh4dE7F57ykAxgTZC3cPhMEA/OvTNaiorsfuorMAgPoGHeatPGjeR0OjDt8u3Ov9F0dEihKt6OrVqxdUKhV+/fVX5OQYm/f17t1b1sYFQcCuXbvci5CIiPySr+6fNGrP938M1DyXJ98TQRDQqyDZczvwA7ntYtA+NcrXYRDJZnPtB8JnWKB+0JLPCIKAuOhQlDUluvYUlQGAuXLLpCArHk/d0Q/HTldj18FSZKdFQxAEPDexP/7531V46fO1yE2PQbBGhZ75yfjlr4O45qI8RIYFYcHfRThTUYfenZKxac8p1DZoUVpZx16WRAHG4d2CXq+3+tlgMMj6r+XziYioNWolNysB8jKkVGjw/tE17029CFPH9fHeDv232IbI4/gxRa6Ijw5FaVOia29xGdKTIhElMnNwelIkRvbPMldpd8qOx6O39sG+w2VYsLoIHdvH4ZZLC3CuTotfVx1Ebb0W3y/Zhx4dE9EjLxEAcNcri3Hv60u88+KISDGiFV1Llhgv6JSUFJvHiIiIWrNAuAELhBhJGiYmyV08h6itSIgOxf6j5TAYDNhTfBbnd0lx/iQLA89rh7vHnIf/+3k7uuTEo0NGLPp2TsHc5QdR36BDRXUDbhvVGTsPlgIwDmUkosAjmuiyN3MiZ1MkIqK2QO2F4ZHuYjEQmfFkoBaEAEiFMzlHrjANXSwprUFlTYPVLIpSjR6Si3ZJEeiYaRzyeOPF+Xj8g5X4fsl+9O+aioKseHOii4gCk6xv8rfffjteeeUVSetOmTIFl1xyiUtBERERWbK8j/f0zZHBYECYH08lzkb51FJ9gFYcxEQYhxvlpsf4OJLA58c950Xxs4xcER8diroGHbbsOw0A6NSiP5dUfTqlILrpM6hzTjy65yVCEIBxl3VSLFYi8h1Z3+TXrVsHnU7al6m9e/fixIkTLgVFRETkbbzlUgbvXW2lJUZ4dPv9uqbi97+LoFYF1sFvnxqNt6YMQW56rK9DabUCMQFG5Eh8dAgAYPW24wgLUaN9arQi233gxp4oLqlETjsm3olaA9FE18GDB/Hee+/ZffzBBx8U3aDBYEBJSQmKi4uRlpamTJRERERNeOPm3wIr1eJ5/3l0GBJiQj26j/QkYyItp50yN3ze5MqwI7LVMsHMhDO1VvFNn6fbD5SiW26CYgn+1IQIpCZ49o8SROQ9oomu3NxcVFRUYM2aNebHBEFAWVkZ/vjjD0kbHzt2rPsREhEReRHzaKSk7DTx5JNS5xqTv0TUVsRHGxNder0BnbI9lyiPCAuy+vnVL9fh+uEdkd/etaGSRORdDocuvvDCC5g/f7755w8++ADt2rXDtddeK/ocQRAQERGBgoICDBw4ULlIiYjIL3m7cqCtVyoY/DSr0bsgGZv2nlJsGElb4u4p7aenBBGR4kyJLgAocLE/lxRxUcb95KbH4OCxCmwrPIO/t5egZ34Sbrw4H906JLDPHJEfc5joysrKwv3332/++YMPPkBaWprVY0RERJ7mzRv5QPna6m9xXnx+JjbtPYXMlChfh9J28aaLWvDXxDiRq8JCNAgNVqOuQYcCD1ZXxUYZe4E1NOoQHKTG58+MxILVRfh5xQE8/d9VKMiKw40X56Nv5xSoAqw/IlFbIKsZ/Z49e8z/bmxsRFCQdUnngQMHEB8fj7g4lnQSEZFnePovqIF8WygIrO4hIqLWSxAExEeHwgAgJjLEY/sxJbrKquoBAOGhQbhueEdcOSQXS9Yfxo9/FuKlz9ciOy0a1w3viCE92kGtVnksHiKSR/bVWFNTg2effRaDBw/GuXPnrJa9/fbbGDJkCJ555hlUV1crFiQREZGncQgC+bPwUOMfF1MSwn0cCfkTVmxRWzSiX3tcNSTXo/uIa0p01dQ2Wj0eEqTG5YNy8MmTF+ORW3pDpzdg2syNuPeNJfj97yI0anUejYuIpJFV0VVdXY1bbrkF+/btAwAcPnwYnTp1Mi/X6/XQarX48ccfsWfPHnzzzTcIDg5WNmIiImrTPJ6OCpD7RmdhhodqcK5O65VYyDVykhTZadF4ZkI/9OiY5MGIiIj83w0X53t8H0EaNSLDglDdItFlolGrMKxPJob2ysC6XSfw/ZJ9+PCHrZi1cA8ev+18dM1N8HiMRCROVkXXxx9/jH379qFjx4744YcfrJJcAPDf//4Xv/32Gzp16oSdO3fiiy++UDRYIiIiT2lZ0NU+1T97TTmqPLPMm/zvuUsx+5XLvRCR7b5JJonVhP27pSE0RNbfKKmVE/s8YIUqkfviop0PjVSpBAzoloa3plyIl+8ZBK3OgF9XHQIAlFbUQqfTezpMIrJDVqJr0aJFCA4Oxv/93/+hW7dudtfJzc3Ff/7zH6jVavzyyy+KBElERP4nPNR4w52bHuPjSDzj/Ucuwk//Hu3rMFwkIDREYx7u5t09E5G3cOgikeeYZl6UQhAE9MhPQufseBw6XoE/Nx7BnS8txOR/L8XidYeZ8CLyMll/Fjx+/Djy8vKQlpbmcL2MjAzk5OSguLjYreCIiMh/JcSE4c0pQ5CdFu3xfRm8MJ4wNNj4K9H0F1x/bSrLG1tqqX1qFFITwnHnlV19HQr5SMsKrvz2sQCAztnxPoiGqHWIdaHZfU67GKzbdQLvztqEgqx41Dfq8N7szZi9eC9uvDgfw/pmQuOn3y+IWhNZia6oqCjU1NRIWlen07E/FxFRK9cpywc3UR4qGeqUHY+Hx/bCwPPaeWYHCvO3yimm33wnJFiNT58e6eswyIdaJsC75yVhxguXeXRWOqLWLlbC0MWWctOjYTAA5+Ul4tmJ/RESpMa6nScwa9FevP/dFsxevA83XJyPi89nwovIk2RdXXl5eThy5Ag2bdrkcL2dO3fi4MGDyM/3fKNAIiIipQzv2x5h7IHkHn/LwPmxII3xa1hKHGdSJOUxyUXkHjlDF036dk7B/Tf0xLMT+yM0WANBENC/WxreeWgonp3YH1ERwfjg+y2457XFWLrhsAeiJiJAZqLr+uuvh8FgwJQpU/DXX3/ZXWft2rW4//77IQgCrrvuOkWCJCIiImptEmLC8NQd5+Op8ee7tR3mFonN54mUFxclP1kcpFHj0gFZ5nYIJoIgoF+XVLz94IV4/q4BqGvQ4Z1Zm/HHmiIcPlHJtgRECpP1Z+urrroKv//+O5YuXYq7774bSUlJ6NixI8LDw3Hu3DkcOHAAJ0+ehMFgwEUXXYRrr73WU3ETERERBbxB3QNjqCwRUVvjSkWXM4IgoG/nFDxyS2+8/Pk6fPD9VgBA707JmHT1eUhPilR8n0RtkezxGe+99x4+/vhjfPnllzh16hROnTpltTwsLAzjxo3Dgw8+yL8uERGRMviHTiJRvDyIiJQX50KPLqn6dErB969dgWOnqrFxz0nMXrwP97/5J0b2b4/RF+QiMyXKY/smagtkJ7qCgoLwwAMP4J577sGGDRtw+PBhlJeXIzQ0FDk5OejTpw8iI5mJJiIizxDa+EAtUw+xoCC1jyMhIiJqvVyZdVEOjVqFrLRoZKVFY1ifTMz4fQ8WrT2MBauLMPC8NNx1VTckx7OHI5ErXO64GxwcjEGDBmHQoEFKxkNEROTUq5MH40SptFmAW5ubLylAaIgGF/fN9HUoRERErVZ0ZAhUXvrbWlx0KB64sSduG9UZv60+hB//LMTGPUtxw8Udce1FeQjmH7eIZHE50XX27FmsWbMGhw4dQnV1NZ544gnU19dj8+bNGDBggJIxEhERmQmCcdru8/ISld2uolvznNBgDW4eWeDrMHzq8kHZvg6BiIhaObVKQHRkCM7Vab22z9ioENxyaSeM6Ncen8/fiZm/78GS9YfxxG3nIy8z1mtxEAU6WbMuAkBjYyNee+01XHTRRZg6dSo++OADfPnllwCAw4cPY8KECbj22mtx8uRJpWMlIiIiwj3XdPd1CER+gf3ZiDzLlZkXlZAcF44nbz8fL98zCA2NOnw8Z5vozIxnymvxzR970KjVezlKIv8lK9Gl1+tx33334auvvoJWq0VBQQFiYmLMy2tqaqBSqbBr1y6MHTsWZWVligdMRERtD2/mAoAXp0ZXeWssCRERtWmemHlRjh75SbhpZAH2Hi7DjgOldtfZuOckZi3ci1/+Oujl6Ij8l6xE148//ogVK1YgNzcX8+bNw88//4zc3Fzz8p49e+L3339Hx44dUVJSgs8++0zxgImIiMj/mNJcbX2yACJv4tVG5FmxPqrosjTi/PaIjQrBWzM34MFpy3DPa4vx8LvLsWLzUej1zX9kmrVwD85W1vkwUiL/ITvRJQgC3n//feTl5dldJzMzE//5z3+gUqmwdOlSRYIkIiKiwCDwzpvIa1jtSuRZOe2ikRDt26qu4CA17h7TDRnJUUiIDUWHjFjUN+jw5oyNmDLtT2wrPAMAqK3X4Yv5O30aK5G/kNWMfv/+/cjNzUWHDh0crpednY3s7GwcOXLEreCIiIhIPiabiIiI3Dd6SAdcMTjH12Hgwl4ZuLBXhvlnnd6Av7Ycw6yFe7Bi8zEAxsqvxesP49IBWejWQdkJe4gCjaxEl06ng0olrQgsKCgIajWnQSUiImUJzOIQERGRF6hVAtQq/7unVasEDO2dgQt6tMOyTUdx8HgFbr2sM7YWnsYnP23Huw8PhVote945olZD1tmfmZmJQ4cO4ezZsw7XO3PmDAoLC5GZmelWcERERABEZxoiIiIiaqvUahUuPr897h5zHsJCNJh4VTcUlVTit9VFdtf/8IetWLL+sHeDJPIBWYmuSy+9FFqtFs899xwaGxvtrtPQ0IB//vOf0Ol0GDFihCJBEhERmbCey3NevmcQnr2zv6/DICIiIhcMOi8NvfKTMH3udnz12y40anVWy9dsL8HXC3ZDp9P7KEIi75A1dHHChAmYN28elixZgjFjxmDEiBE4ffo0AGDx4sUoLCzETz/9hOLiYqSlpWH8+PGeiJmIiNow1nZ5To/8JF+HQDIENQ1LYfKXiIgAY3uHJ24/H5/N24Hvl+zH2p0n8NDNvdAxM868TmlFHdbtOoGB57XzYaREniWroisiIgJffPEFOnXqhIMHD+LTTz/F0aNHAQAPPPAA3nvvPRQXFyMrKwvTp09HdHS0R4ImIiIiauseGtsL1w3LQ5ecBF+HQj4SHmL8m3VyXJiPI5EuIznS1yEQtWoRYUGYclMvPH/XAFSfa8Sj76/EjAW70ahtruL6bVWRzfMatTrsKXLcoogoUMiq6AKA9PR0/Pjjj1i4cCGWLl2KwsJC1NTUICwsDFlZWbjoootwxRVXIDg42BPxEhFRG+ep6hX2uKdAkxAThvFXdvV1GORDHTJi8eTt56NPp2RfhyLZOw8NRV2DzvmKROSWvp1T8OFjw/Dp3B2YvXgf1u48gboGLdQqAVv2n8ax09VIT2pOPP+6qgifzdsBAPjkqYvRLpFJaQpcshNdAKBSqXDZZZfhsssuUzoev/XJJ59g2bJlmDVrlq9DIfIZXgdERET+ZXCPwBp+FBqiQWiIS7cgRCRTZHgwHh7bGxf0aIcPvt+CugYdBnRLxfpdJ7FgdRHuGtPNvO7G3SfN/y46XslEFwU0zjkqwcyZM/HOO+/4Ogwin+J1QH6DlVdEREREkp3fJRUfPjYc1w3Lw9VD8zCoezssXn8YdQ1aAEBdgxY7D5Wa12c/VAp0kv6ccuDAAWzfvh2XX365zZDEWbNm4bvvvkNRURHi4uJwwQUX4O6770ZmZqZHAvamkydP4vnnn8fatWuRk5Pj63CIfILXARFJER1h/H6Q5OFeQZ8+zRmdiYiI5IoMDzYPd9cbDFi55RiWrD+CKwbnYMeBUqseXqbJTogClcMzuLa2FlOmTMGVV16Jp556CidPnrRa/uSTT+LFF1/Enj17UFtbi+PHj+O7777D9ddfj40bN3o0cG/YuXMnIiIiMG/ePPTo0cPX4RD5BK8D8jcCS7r8Uu+CZDx1x/m45dJOHt1PakKER7dPRETU2nXLTUBB+zh88tM2fPXbLmzYfRLBGhWm3NgTAJCWyN+1FNgcVnRNnjwZa9euhcFgQGZmJgyG5iLG3377DT///DMEQUBOTg4eeeQRJCYmYsGCBfjf//6HRx55BL/++isiIwN3bO/w4cMxfPhwX4dB5FO8DohICkEQMKh7YPUKIiIiaosEQcBL9w7C//20Hd8v2Q8A6JWfhNBg9s+j1kH0TF68eDHWrFmDxMRETJs2Df3797da/tFHHwEAQkJC8NlnnyEtLQ0A0LNnT2g0Gnz++ef47rvvcOedd3owfNcUFxfjkksuEV2+ZMkSZGRkeDEiIu/jdUBERERE1DaFhWjw4M290LsgGf/383Zc1CfwWw8RmYgmun777TcIgoDnnnvOJsl14MABFBYWQhAEXHnlleYkl8ldd92FL774AosWLfLLRFe7du3w22+/iS5PSUnxYjREvsHrgAKJgV1R2zyNWgWtTu98RSIiIpJsSK90DOmVDgBYufkYAKC+UefLkIjcJpro2rp1KyIjI+1WfKxcudL8b3tDmuLi4pCVlYXi4mKFwlRWUFAQOnTo4OswiHyK1wEFKoEtupxqjYfoo8eH4+DxCl+HQURE1Gplt4tGcJAa//5qA/41aQDaJQZuGyJq20Sb0Z89e1Z02NK6deuMT1ap0K9fP7vrREVFoaqqSoEQiYiIqK1LS4zAYPYAIyIi8pjMlCi8OnkQauoa8dj7K7G3+Cxq67XYuOekVb9uIn8nmuhSqVRQqWwXGwwGbNy4EYIgoEuXLqLN5ktLSxETE6NcpERERGBFFxEREZGnFGTF480HhiA8VIOnPlqF179aj399ugbf/LHX16ERSSaa6EpJScHRo0dtHt+8eTMqKoxDBwYPHmz3uSUlJTh27BiSk5MVCtNozpw5KCgowIYNG0TXWb16NW6//Xb0798fvXv3xm233WY11JIo0PE6IPIMgRk0IiIiIrRLisRbUy5EQVYcNu05BQD4dtFe7D501seREUkjmugaOHAgKisrsXjxYqvHv//+e/O/L730UrvP/fzzzyEIAgYMGKBQmMYE20svveRwnTlz5mDChAnYvHkzunfvjl69emHz5s246667MHv2bLf2//rrr2PWrFlubYPIXbwOqK0ylctr1ALio0N9HA1RYPjkqYvxzsNDfR0GEREFoJjIELx0zyCMGpQNAIiOCMbrX61HeVW9bwMjkkA00TV27Fio1Wo89thjmDlzJrZu3Yr3338fP//8MwRBQN++fdG5c2eb582YMQMzZ86ESqXCmDFjFAly4cKFmDhxIs6dOye6zqlTp/D8888jKioKP/74Iz799FN89tln+OabbxAZGYlXXnkFJ0+eVCQeIl/gdUAE3HJpJ1ZeEUnULjESeRmxvg6DiIgClEatwj+u64Gf/z0aL90zCNXnGvDmjA3Q6dmvi/ybaKIrLy8Pjz76KGpra/Hyyy/j5ptvxn//+18YDAbExsbilVdesVr/9ddfxyWXXIJXXnkFer0et912GwoKCtwK7sSJE3j88cfxwAMPQK/XIzExUXTdGTNmoKGhAePHj0d+fr758e7du+Ouu+5CfX2929UsRL7A64CIiIiIiHxFrVYhNz0Gk6/rjm2FZzDz992+DonIIdFEFwCMHz8en3zyCfr27YuIiAjExMRg1KhR+O6779C+fXurdZctW4bDhw9DrVZj4sSJePLJJ90O7t1338XcuXPRrVs3zJ49G7m5uaLrmvoPjRgxwmbZyJEjAQArVqxwOyYib+N1QEREREREvjaiXxYu6Z+F75fsx9/bj/s6HCJRGmcrDB06FEOHOu/vcPPNN8NgMOCSSy5Benq6IsHl5ubijTfewFVXXWV3BkgTg8GAwsJCqFQqu0mA7OxsqFQqFBYWwmAwcNgLBRReB0RERERE5A/uueY8HDpegX9/vRH/nKBG384pvg6JyIbTRJdU48ePV2pTZpMmTZK0XkVFBRoaGhAfH4/g4GCb5RqNBnFxcSgtLUVNTQ0iIyOVDpXIY3gdEBERERGRPwgOUuOFSQPxzMer8eqX6/DMhP7o3SnZ12ERWXE4dDFQ1NbWAgDCwsJE1wkNNc7SVVNT45WYiLyN1wEREREREXlaVHgwXr53EDKTo/DyF2uxee8pX4dEZKVVJLocDecyMU1NT9Ra8TogIiIiIiJviAoPxkv3DkJ6UiRe/nwttu477euQiMxaRaIrPDwcAFBfXy+6jmmZo2oXokDG64CIiBwJ1rSKr31EROQnoiOMlV3tkiLx4udrsXU/k13kH1rFN57IyEiEh4ejrKwMWq3WZrlWq0VZWRlCQkIQHR3tgwiJPI/XARERiXl4bG/859Fhvg6DiIhamZjIELx87yCkJoTjxc/WYnvhGV+HRNQ6El2CICAvLw86nQ5FRUU2yw8dOgS9Xo/8/HzvB0fkJbwOiMiMs6pSC8P7ZqJdEichISIi5cVEhuCVewcjJT4cL3y2BjsOMNlFvtUqEl0AMGTIEADA4sWLbZaZHhs6dKhXYyLyNl4H1FaN7Nfe1yEQERERtVmxUSF4ZfIgJMWG4YXpa7DzYKmvQ6I2rNUkuq699lqEhITg008/xY4dO8yPb9++HdOnT0doaChuueUWH0ZI5Hm8Dqi1E0Qqle6/oSd++vdoL0dDRERERCZxUaF4ZfJgJMSE4YXpf2P3obO+DonaKI0rT6qvr0d5eTlSUlLMjy1duhTz5s2DXq/HhRdeiGuvvVbSLHBKycjIwBNPPIEXX3wRN998MwYMGACDwYC1a9dCq9XijTfeQEJCgtfiIfIFXgfUVqlUAlTgcD0iIiIiX4qPDsUrkwfh6Y9W4flP/8aL9wxEp6x4X4dFbYzsTNTMmTMxaNAgvP/+++bHvv/+e9x33334448/sHDhQjz77LO47777FA1UinHjxuHjjz9Gjx49sHHjRuzYsQO9e/fGF198gTFjxng9HiJf4HVARERERES+khAThlf/MRixUSF4/v/+xt5iVnaRd8mq6Fq1ahVeeuklAEBVVRUA40xub7/9NgBg4MCB6NOnD7799lssW7YMP/74I6677jrFgv3666+drjNs2DAMG8ZZhaj14nVARERERET+LCEmDK9OHoynP1qF5/7vb7x0zyDkt4/zdVjURsiq6Prmm28gCAIeeeQRc0XX33//jbKyMsTHx+OTTz7Bfffdh88++wwA8PPPPyseMBERtT0Gg68jICIiIiI5EmPD8MrkwYgKD8Zzn6zG/iNlvg6J2ghZia6tW7ciISEBd999t/mx5cuXAzBWkAQFBQEA8vPz0b59e+zbt0/BUImIqK1jFy4iIiKiwJEUZ6zsiggPxrOf/I3Co+W+DonaAFmJroqKCqSlpVnNerVy5UoIgoBBgwZZrRsZGYmamhploiQiIiIiIiKigJMcH45XJw9GeKgGz368GkdOVvk6JGrlZCW6kpKSUF5ebv75yJEjKC4uhiAIGDBggPlxnU6Ho0ePIiYmRrFAiYiIiIiIiCjwpDQluzQaFV6YvgYV1fW+DolaMVmJrtzcXBw9ehQbN24EAHz33XcAgB49eiA+vnnK0C+++AIVFRXo1q2bgqESERERERERUSBKTYjAs3f2R1llHV75Yh0aGnW+DolaKVmJrptuugkGgwETJ07ENddcg+nTp0MQBIwbNw4AcPDgQdx9992YNm0aBEHAzTff7JGgiYiobWEveiIiIqLAl98+Do/c0ge7i87ivW83w8AZh8gDZCW6Ro4ciUceeQQ6nQ67d++GSqXCHXfcgSuvvBIAUF9fj5UrV0KlUuGf//wnhg0b5pGgiYiobRLYjZ6IiIgooA3u0Q63X94ZK7Ycw8w/9vg6HGqFNHKfMGnSJNx0000oKipCeno6EhMTzctycnLwyCOPYNSoUcjMzFQ0UCIi8rzstGiEBKl9HQYRERERtWLXD++IkjM1mL1oH9olRmB43/a+DolaEdmJLgCIiYlBjx49bB4PDQ3FpEmT3A6KiIh84z+PshK3NWDhGxEREfkzQRAw+boeOHn2HP7z3RYkx4WjW4dE508kkkDW0EWT+vp6nDx50uqxpUuX4qGHHsKUKVPwww8/QK/XKxIgEREREREREbUuQRoVnrrjfKTER+DVL9fh+OlqX4dErYTsRNfMmTMxaNAgvP/+++bHvv/+e9x33334448/sHDhQjz77LO47777FA2UiIjaLjYqJSIiImp9IsOD8fxdAwAIeGH6GlSda/B1SNQKyEp0rVq1Ci+99BJqampQVVUFANBqtXj77bcBAAMHDsQDDzyAxMRELFu2DD/++KPyERMRURvGQXlERERErUlaYgT+OaEfTpXV4tUv16FRy9Fh5B5Zia5vvvkGgiDgkUceMVd0/f333ygrK0N8fDw++eQT3Hffffjss88AAD///LPiARMRERERERFR69E1NwEP3tQTOw6U4oPvt7Can9wiqxn91q1bkZCQgLvvvtv82PLlywEAw4YNQ1BQEAAgPz8f7du3x759+xQMlYiIiIiIiIhao4v6ZKLkTA2+WbgX6UmRuHFEvq9DogAlq6KroqICaWlpEITmoSMrV66EIAgYNGiQ1bqRkZGoqalRJkoiIiIiIiIiatVuvqQAQ3tl4OsFu7Fy8zFfh0MBSlaiKykpCeXl5eafjxw5guLiYgiCgAEDBpgf1+l0OHr0KGJiYhQLlIiIyF3339ADPTsm+ToMIiIiIrJDEARMuaknOmfH451vN2FP0Vlfh0QBSFaiKzc3F0ePHsXGjRsBAN999x0AoEePHoiPjzev98UXX6CiogLdunVTMFQiIiL3XDogGy/dO8j5ikRERETkE8FBavxzQj8kxITi5S/W4kQpR4qRPLISXTfddBMMBgMmTpyIa665BtOnT4cgCBg3bhwA4ODBg7j77rsxbdo0CIKAm2++2SNBExFR2yRw0kUiIiKiVi8mMgTPTRwArc6AFz9bi+raRl+HRAFEVqJr5MiReOSRR6DT6bB7926oVCrccccduPLKKwEA9fX1WLlyJVQqFf75z39i2LBhHgmaiIiIiIiIiFqvzJQoPHXH+Th+uhpvf7ORMzGSZLJmXQSASZMm4aabbkJRURHS09ORmJhoXpaTk4NHHnkEo0aNQmZmpqKBEhEREREREVHb0aNjEiaM7orpc3dg0brDuKR/lq9DogAgO9EFADExMejRo4fN46GhoZg0aZLbQRERERERERERjb4gF+t2nsD0udvRPS8RqQkRvg6J/JxLiS4AWLlyJZYtW4aioiLU1NQgPDwc7du3xwUXXICLL74YAhupEBGRQlipTkRERNQ2qVQCHrypF+5/60+8N3szXrl3MFQq5htInOxEV2lpKR566CFs2LABAKzGyf7999+YPXs2evXqhXfeeQcpKSnKRUpERG0e/4YiDY8TERERtSbJ8eGYdHU3vDd7C+atPIirh3bwdUjkx2Qluurr63HnnXdi7969CAsLwyWXXIIuXbogPDwc1dXV2LFjB5YuXYpNmzbh3nvvxezZsxEcHOyp2ImIiIiIiIioDbj4/PZYs+MEvvptF3oXJKF9arSvQyI/JSvRNWPGDOzduxedOnXCJ598Yrdi68SJE5g0aRL27NmD7777DrfeeqtiwRIRERERERFR2yMIAu67oQfuf/NPvDNrE96cciE0apWvwyI/JOus+PXXX6FSqfDee++JDktMTU3Fe++9BwCYP3+++xESERERERERUZsXFxWKf1zfA4VHK/Dd4n2+Dof8lKxE16FDh5CXl4esLMdTeubk5CAvLw+HDh1yKzgiIiIAMIDd6ImIiIgIGNy9HS7qk4HZi/dh/5EyX4dDfkhWostgMECtVktaV61Wo7Gx0aWgiIiI7GOXdSIiIqK27p5ruiMuKgRvf7MJ9Y06X4dDfkZWoqt9+/bYv38/Tp065XC9kydPorCwEBkZGW4FR0RERERERERkKTIsCA/e1AtHT1Xjq992+Toc8jOyEl0jR46EVqvFY489hurqarvrVFdX47HHHoNOp8PIkSMVCZKIiIiIiIiIyKRXQTKuGJyDeSsOYlvhaV+HQ35E1qyL48ePx5w5c7Bu3TpcdtllGD16NLp06YKIiAhUV1dj9+7dmD9/Ps6cOYN27dphwoQJnoqbiIiIiIiIiNqw8Vd0waa9p/Det5vxn0eHITw0yNchkR+QleiKiorCF198gXvvvRdFRUX48ssvbdYxGAzIycnBhx9+iKioKKXiJCKitoy96ImIiIiohdAQDR4Z2xtPfLAS0+fuwJSbevk6JPIDshJdAJCdnY1ffvkFv/76K5YvX46ioiLU1NQgPDwcOTk5GDp0KC6//HIEBTGTSkREyhLYi56IiIiILHTKjsd1wzvi+yX7MaBbGvp1TfV1SORjshJdM2fORIcOHTBgwACMGTMGY8aM8VRcREREREREREROjb2kEzbsPon/fLcFHzw2DDGRIb4OiXxIVjP6jz/+GJMnT0ZlZaWn4iEiIiIiIiIikixIo8Ijt/RBdW0j/vPdFhgM7HvRlslKdFVUVCAnJwfR0dGeioeIiIjcJHCMJxEREbUx2WnRuOOKzli78wT+WFPs63DIh2Qlujp37ozi4mKUlZV5Kh4iIiKv6pWf5OsQiIiIiEgBVw3pgJ4dkzB93g4cO13t63DIR2Qlul599VVERUVh7Nix+P7777F//36Ul5ejtrZW9D8iIiJ3ebL4/J939sfnz1ziwT0QERERkTeoVAIeGtsLwRoV3pq5EVqd3tchkQ/Iakb/0EMPQRAEFBcX47nnnnO6viAI2LVrl8vBERERWfLEgLyQIDWS4sI8sGUiIiIi8raEmDDcd0NPvP6/9Zi1cC9uG9XZ1yGRl8mq6Nq/fz9KSkpgMBgk/afXM3tKRERERERERN4zuHs7jDi/PX5Ysg87D5b6OhzyMlkVXUuWLPFUHERERG1S74JkhIXI+nVMRERERE7cfXU37DxYire/2Yj3pw5DRFiQr0MiL5H1zTo9Pd1TcRAREbVJL0wa6OsQiP6/vfsOj6rM+z/+mSGdAUJJIhAEQkgQQklAggjS4cECiKA0WRQWV4q78CgIa1lx0UUff4i4ClJ0pbhIkSKgESxIJ/QA0kIRhCS0QIqp8/uDTZaQTAiQ5MyZvF/Xlesy577nzGfy9Vby5Zz7AADgcny83DV2YITGf7hRM77ap/8d0NzoSCglRb518ffffy90fNOmTbpy5crd5gEAIB+7vSS3owcAAIAralC7ivp1DtGPO89ow+4zRsdBKblloyspKUlvv/22HnzwQZ0/f77AOZmZmRo9erTatWunyZMnKyUlpdiDAgBQIrvRAwAAwGU92TlEDWpX1kdL9ir+Mr2KsqDQRldcXJz69u2rzz//XMnJydq+fXuB82JjY5Wenq60tDTNnz9fffr0UUJCQokEBgAAAAAAKIpy5az634HNlW23a+oXu5SVzZ0Crs5hoys7O1sjRozQiRMn5Ovrq/Hjx+uhhx4qcG5ISIi2b9+uV155RRUrVlRsbKxGjx7NrSYAAAAAAMBQ91Qtr+G9mijm+EV99eMxo+OghDlsdK1cuVIHDhxQ7dq1tWLFCj3zzDPy9fV1eCIfHx8NGjRIS5YskZ+fn/bu3au1a9eWRGYAAAAAAIAi63R/LT3YtIbmrz2kw6cuGR0HJchho+vrr7+WxWLRX//6V/n7+xf5hLVq1dKrr74qu92ulStXFktIAEAZxwXCAAAAuAsWi0Wj+jZTVV9vvTN/p5JSM4yOhBLisNF16NAhVaxY0eHtioXp0qWLKlWqpJiYmLsKBwDAjSzsRg8AAIA7ZPN210uDmuvilVR9uHgP2y25KIeNrsTERNWsWfOOTmqxWFSrVi1duXLlTnMBAAAAAAAUqwa1q+jp7vdp097f9O3WU0bHQQlw2Ojy8vK6q0bVtWvX5OHhccevBwAAAAAAKG6Ptw9WeIifZi3fr5PnrhodB8XMYaMrKChIcXFxd9Tsunz5ss6ePavq1avfTTYAAAAAAIBiZbVaNGZAhMp7u+udeTv0e1qm0ZFQjBw2utq0aaPs7Gx9+umnt33SefPmKTMzU82bN7+rcAAASOxFDwAAgOJVuYKXxg6I0Jn4JH2yfL/RcVCMHDa6nnrqKXl4eGju3Ln67rvvinzCH374QTNnzpTFYlGfPn2KJSQAAJJkYS96AAAAFJNmIf7q07G+vtt+Wj/tOmN0HBQTh42ugIAAvfLKK8rIyNCYMWP02muvKTY21uGJjh49qokTJ2rUqFHKyspSnz591KRJkxIJDQAAzGHGy50055UuRscAAAAo0IBuDXRfnSr655K9Onch2eg4KAZuhQ327dtXJ0+e1Ny5c7V48WItXrxYfn5+ql+/vnx9fZWVlaXLly/r+PHjunjxoiTJbrfrscce0+uvv14qHwAAADivmn42oyMAAAA45FbOqhcHNtcL/+9HvTM/Wv83uq3KlXN4TRBMoNBGlyS99NJLeuCBB/TGG2/o119/VXx8vOLj42WxWGS35901JTg4WCNGjNDDDz9cYoEBAAAAAACKi38VH43q21RTPo/Wig2x6t0h2OhIuAu3bHRJ1zemj4qK0vbt27V161bFxsbq2rVr8vLyUrVq1VS3bl21a9dOQUFBJZ0XAAAAAACgWD3YpIZaNrxHC6N+0YNNayigio/RkXCHitTokiSLxaLIyEhFRkaWZB4AAPK5+QpiAAAAoDhZLBY917uxRr7zvT5eulevD2slC09CMiVuPAUAmAZ/1AAAAEBJ8a/so0Hd79POX+K1cc9vRsfBHaLRBQAAAAAAIOnRNkEKruWrT1bsV1JKutFxcAdodAEAAAAAAEgqZ7VoVJ+mupqcrs9WHzQ6Du4AjS4AAAAAAID/qBfoqx5tg/Tt1lM6EHvR6Di4TTS6AABOj63oAQAAUJoGdmsg/8re+ueSPcrIzDI6Dm4DjS4AgHnw5BsAAACUAi9PNz3/RFP9GpekpT8cMzoObgONLgAAAAAAgJu0uC9AbZrW0KLvjuhsQpLRcVBENLoAAAAAAAAKMLxXY7m7WTV7RYzRUVBENLoAAAAAAAAKULmilwZ0C1X0oThtP3je6DgoAhpdAADnx270AAAAMMgjDwYp0N+m2ctjlJ7BxvTOjkYXAMA02IseAAAApc3dzarhvRrr3MVkrdhw3Og4uAUaXQVISkrSW2+9pY4dOyo8PFy9e/fW+vXrjY4FlCrWAQAAAABcFx7qrwcaV9eidUd04Uqq0XFQCBpdBZgwYYJ+/PFH/f3vf9fy5cvVtWtXjRo1Slu2bDE6GlBqWAcAAAAA8F9De4TJnm3Xp6sOGB0FhaDRdZOEhARFRUVp4sSJat26tWrXrq0//elPatmypZYsWWJ0PKBUsA4AAAAAIK+AKj7q3aG+Nuw5q/3HLxgdBw7Q6LqJt7e3Zs2apRYtWuQ5brFYlJiYaFAqoHSxDuBs2IseAAAAzuCJjsHyq+ytT77ar6ysbKPjoAA0um5is9n00EMPyWaz5R7bs2ePtm7dqvbt2xsXDChFrAM4K/aiBwAAgJG8PNw0tEeYTp67qm+2nDQ6DgrgZnSA0nTq1Cl17drV4fj69esVGBiY59jx48c1atQoNW3aVE899VRJRwRKHOsAAAAAAO5c68bV1ay+n+atPaRWjauraiVvoyPhBmWq0VWjRg2tWbPG4XhAQECe73fs2KFRo0apRo0amjlzptzd3Us6IlDiWAeA63ru8caav/aQ0TEAAABcmsVi0fN9mmj0uz9oxrJ9mjikpSwW7j1wFmWq0eXu7q569eoVae7KlSs1ceJEtWzZUh988EGeW7gAM2MdAK7r0TZBerRNkNExAAAAXF6NajYN6NZAn60+qM37zunBpjWMjoT/YI+uAqxatUrjxo1T9+7dNXPmTH65R5nEOgAAAAAAx3q1q6d6gZU046t9upaSbnQc/AeNrpucP39er776qiIjI/XSSy/pypUrSkhIUEJCgq5cuWJ0PKBUsA7gbOx2nrsIAAAA51KunFUvPBmuq8npmrvygNFx8B+maHQtW7ZMoaGhio6Odjhn8+bNGjx4sCIjIxUREaGnn35aP//8822/V1RUlFJTU7V161a1bdtWbdq0yf16/vnn7+ZjAHeFdQBIYu8DAAAAOJGgmpXUu32w1u04rT1H4o2OA5lgj67du3frzTffLHTOsmXLNGHCBHl4eKhVq1bKzs7Wtm3bNGzYME2aNOm2nhI3ePBgDR48+G5jA8WKdQAAAAAAzqlf11Bt3vebPly8Vx++2EFenk7fanFpTn1FV1RUlIYOHaqUlBSHc+Lj4/X666+rQoUKWrp0qWbNmqU5c+Zo4cKFstlsmjx5suLi4koxNVC8WAcAAAAA4Lw83ctp1JPNFHcpRV9EHTY6TpnnlI2u8+fPa9y4cRo9erSys7NVrVo1h3Pnz5+v9PR0DRkyRCEhIbnHmzRpomHDhiktLU2LFi0qjdhAsWIdAAAAAIA5NK5XTR1b1NLXG2N1+drvRscp05yy0fX+++9rxYoVCgsL06JFixQU5PhR6Tn7D3Xu3DnfWJcuXSRJGzZsKJmgQAliHQAAAACAeTzZOUQZWdlauSHW6ChlmlPeOBoUFKQpU6aoR48eslod9+LsdruOHTsmq9VaYBOgTp06slqtOnbsmOx2uyxsYgwTYR0A+fFvLwAAAJxVTT+bHmxSQ6s3ndATHevL5u1udKQyySkbXcOHDy/SvMTERKWnp6tKlSry8PDIN+7m5qbKlSvr4sWLSk5Ols1mK+6oQIlhHQAAAACAufTtFKKNe3/T6k2xeqpzqNFxyiSnvHWxqFJTUyVJ3t7eDud4eXlJkpKTk0slE1DaWAcAAAAA4ByCalZSi/sCtHJDrH5PyzQ6Tplk6kZXYbdz5bDb7aWQBDAO6wAAAAAAnEffTvV1NTldUdtOGR2lTDJ1o8vHx0eSlJaW5nBOzlhhV7sAZsY6QFlArxYAAABm0bBuVYXVq6plPx5TRma20XHKHFM3umw2m3x8fHT58mVlZua/JDAzM1OXL1+Wp6enKlasaEBCoOSxDlCW8CwFAAAAmEHfTiG6mPi7ftj5q9FRyhxTN7osFouCg4OVlZWlkydP5hs/ceKEsrOzFRISUvrhgFLCOgAAAAAA5xIe4qfgwEpa8v1RZWVze0JpMnWjS5Latm0rSVq3bl2+sZxj7dq1K9VMQGljHQAAAACA87BYLHqyc4jOXUjWip+OGx2nTDF9o6t3797y9PTUrFmzFBMTk3t8//79mj17try8vDRgwAADEwIlj3UAAAAAAM6lVVh1PdC4uuatPaijv142Ok6ZYfpGV2BgoMaPH6+kpCT169dPw4YN09ChQ9W/f38lJydr0qRJqlq1qtExgRLFOoCr48mhAAAAMBuLxaLRTzaTr81T787fqZTfM4yOVCaYvtElSQMHDtSMGTPUtGlT7dy5UzExMYqIiNCnn36qnj17Gh0PKBWsA5QN7EYPAAAA86jg46H/HdhccReTNfOr/UbHKRPcjA5QFPPmzbvlnA4dOqhDhw6lkAYwBusAAAAAAMwnrF41PdUlVF9EHVazED91aF7L6EguzSWu6AIAAAAAAHBWT3UO0X11qujjpXt18txVo+O4NBpdAAAAAAAAJahcOateHNRc3p5uevmfGxVz/ILRkVwWjS4AAAAAAIAS5l/ZR++Ofki+Nk+99skWbdr3m9GRXBKNLgAAAAAAgFLgX8VH74xuq3o1K2nK5zu0emOs0ZFcDo0uAIBpWHjoIgAAAEyuYnkPvfmn1rr/vns046v9+nzNQdntdqNjuQwaXQAAAAAAAKXIy8NNE4fcr26tamvx+qP6YNEeZWZlGx3LJbgZHQAAAAAAAKCsKVfOqpF9mqpKRS99EXVYl6/9rpcH3y8vT1o1d4MrugAAAAAAAAxgsVg0oFsDjezTVLsPx+vtz3coK5vbGO8GjS4AgNNjywIAAAC4sv95oI5G9GmqXb/E61+rDxodx9S4Hg4AYBrsRQ8AAABX1a1VHZ347aq++vGY6lSvqI4tahkdyZS4ogsAAAAAAMAJDOsZpibB1fTh4j06cvqy0XFMiUYXAAAAAACAE3ArZ9W4p1uockUvTf50uy4mphodyXRodAEAAAAAADiJSjZPvfpspFJ+z9Bbn21XekaW0ZFMhUYXAMDp2cVu9AAAACg76lSvqLEDInTk9BX9c8le2Xk6U5HR6AIAmIaF3egBAABQRjzQuIYGdA3V99G/asWGWKPjmAaNLgAAAAAAACf0VJdQtQq7R/9afVDnLiQbHccUaHQBAAAAAAA4IavVoj/1biJ3N4vmrIwxOo4p0OgCAAAAAABwUlUreeupzqHaduC8dv4SZ3Qcp0ejCwDg9Nh7EwAAAGVZj4fqqaZfec1avl8ZmdlGx3FqNLoAACbCbvQAAAAoe9zdrBrWs7HOJiRr1c/HjY7j1Gh0AQAAAAAAOLkW9wWoZcN79O/vDutiYqrRcZwWjS4AAAAAAAATGNqzkTIy7frX6oNGR3FaNLoAAAAAAABMoEY1mx5vX08/7DyjQycuGR3HKdHoAgAAAAAAMIknO4WoaiUvzfhqn7KyeWrTzWh0AQAAAAAAmISXp5uefayRYs8m6qddZ4yO43RodAEATMPCQxcBAAAAtW1WUzX9bFqz+YTRUZwOjS4AAAAAAAATsVgs6t66jg6fuqzYs4lGx3EqNLoAAAAAAABMplOLWvJws2rtlpNGR3EqNLoAAAAAAABMxubjobbhNfXjzl+V8nuG0XGcBo0uAIDTa1yvmiTp3nsqGJwEAAAAcB4Pt66r39Oz9MNONqXP4WZ0AAAAbqXT/bXUvIG/Klf0MjoKAAAA4DTq1/JVUM1K+mbLST3cuo4sPL2JK7oAAM7PYrHQ5AIAAABuYrFY9HDrOjp57qoOnbxkdBynQKMLAAAAAADApB4KD5SPlxub0v8HjS4AAAAAAACT8vZ0U4fmtbRxz29KTEozOo7haHQBAAAAAACYWPcH6igzK1vrd/xqdBTD0egCAAAAAAAwsdrVK6ph3Sr6ZstJZWfbjY5jKJ66CAAAAAAAYHLdW9fVewt2qs+Er3XjsxdbN6mh/x3Y3LBcpY1GFwAAAAAAgMm1aVpDCZdTlJyakXvs0MlL2rTvN41+spk83MsZmK700OgCAAAAAAAwObdyVvXtFJLn2NaYc5r86XYd/fWKGgVVNShZ6WKPLgAAAAAAABfUsO715taB2IsGJyk9NLoAAAAAAABcUMXyHrr3ngo6cIJGFwAAAAAAAEyuUd2qOnTikrLKyNMYaXQBAAAAAAC4qIZBVZWalqkTvyUaHaVU0OgCAAAAAABwUY3+s0/XwTKyTxeNLgAAAAAAABflV9lb/lV8ysw+XTS6AAAAAAAAXFijulV0IPai7HbX36eLRhcAAAAAAIALaxRUVYlJ6TqbkGR0lBJHowsAAAAAAMCFNfzPPl0HYi8ZnKTk0egCAAAAAABwYYH+NlWyeehgGdini0YXAAAAAACAC7NYLGpYt6piysCTF2l0AQAAAAAAuLhGQVUVfylFF66kGh2lRNHoAgAAAAAAcHGNcvfpcu2rumh0AQAAAAAAuLi6NSrK27Ocyze63IwOAAAAAAAAgJJVrpxV99WpqnU7TmvnL3G5xx9rW0+92tUzMFnxotEFAAAAAABQBjzZOUSVK3rKbr/+/S8nL+nrjbHq+VCQLBaLseGKCY0uAAAAAACAMqBRUFU1Cqqa+/3azSf00dJ9OpuQpED/CgYmKz7s0QUAAAAAAFAGNW8QIEmKPhRvcJLiQ6MLAAAAAACgDPKv4qNaAbY8e3aZHY0uAAAAAACAMqp5gwDFHL+o1LRMo6MUCxpdAAAAAAAAZVSLBgHKzMrW/mMXjI5SLGh0AQAAAAAAlFENg6rI27Ocog+5xu2LNLoAAAAAAADKKHe3cmoS7Kedv8TJbrcbHeeu0egCAAAAAAAow1rcF6D4y6n6Ne6a0VHuGo0uAAAAAACAMqx5gwBJ0s5f4g1OcvdodAEAAAAAAJRhfpW9VfueCi6xT5eb0QFQPL7//nt99913d32e2NhYSdKECRPu+lyS1KVLF3Xs2LFYzgUAAAAAAEpG8wYBWvnzcf2enikvD/O2i8ybHCWiSpUqRkcAAAAAAAClrHvrOrqWki4Pt3JGR7krNLpcRMeOHblyCgAAAAAA3JF7qpbXC0+FGx3jrrFHFwAAAAAAAFwCjS4AAAAAAAC4BBpdBYiLi9PYsWMVGRmp8PBwDR8+XEePHjU6FlCqWAcAAAAAALOh0XUTu92uP/7xjzp//rzmzJmjJUuWyMvLS0OGDFFycrLR8YBSwToAAAAAAJgRja6bXLhwQfXq1dPkyZMVFhamevXqacSIEbpw4YKOHDlidDygVLAOAAAAAABmxFMXb+Ln56epU6fmfn/hwgXNmTNH/v7+CgkJMTAZUHpYBwAAAAAAM6LRVYiXX35ZX331lTw8PPTxxx+rfPnyRkcCSh3rAAAAAABgFmWq0XXq1Cl17drV4fj69esVGBiY+/3QoUM1cOBALVy4UCNHjtSCBQsUFhZWGlGBEsM6AAAAAAC4qjLV6KpRo4bWrFnjcDwgICDP9/Xr15ckTZ48WXv37tW8efM0ZcqUEs0IlDTWAQAAAADAVZWpRpe7u7vq1atX6Jz4+Hht27ZNjz76qCwWiyTJarUqODhYcXFxpRETKFGsAwAAAACAq+Kpizc5d+6cXnzxRe3cuTP3WEZGhg4ePHjL5gDgKlgHAAAAAAAzotF1k8aNGysyMlKvvfaaoqOjdeTIEY0fP15XrlzRkCFDjI4HlArWAQAAAADAjEzR6Fq2bJlCQ0MVHR3tcM7mzZs1ePBgRUZGKiIiQk8//bR+/vnn234vq9Wq6dOnq3nz5vrLX/6ivn37KjExUQsWLFCtWrXu5mMAd4V1AAAAAABA4Zx+j67du3frzTffLHTOsmXLNGHCBHl4eKhVq1bKzs7Wtm3bNGzYME2aNElPPfXUbb1npUqVbvmeQGliHQAAAAAAcGtO3eiKiorSyy+/rJSUFIdz4uPj9frrr6tChQpauHChQkJCJEn79u3TM888o8mTJ6t9+/b5niQHmAXrAAAAAACAonHKWxfPnz+vcePGafTo0crOzla1atUczp0/f77S09M1ZMiQ3F/uJalJkyYaNmyY0tLStGjRotKIDRQr1gEAAAAAALfHKRtd77//vlasWKGwsDAtWrRIQUFBDufm7D/UuXPnfGNdunSRJG3YsKFkggIliHUAAAAAAMDtccpbF4OCgjRlyhT16NFDVqvjXpzdbtexY8dktVoLbALUqVNHVqtVx44dk91ul8ViKcnYeWRlZUm6flUOSkfOzzrnZ292rAMAAAAAAPK61e/+TtnoGj58eJHmJSYmKj09XVWqVJGHh0e+cTc3N1WuXFkXL15UcnKybDZbcUd1KCEhQZI0cODAUntPXJeQkKDatWsbHeOusQ4AAAAAACiYo9/9nbLRVVSpqamSJG9vb4dzvLy8JKnUf8EPCwvTggUL5Ofnp3LlypXa+5ZlWVlZSkhIUFhYmNFRShXrAAAAAABQVtzqd39TN7oKu50rh91uL4Uk+Xl5ealFixaGvHdZ5gpXct0u1gEAAAAAoCwp7Hd/p9yMvqh8fHwkSWlpaQ7n5IwVdrULYGasAwAAAAAArjN1o8tms8nHx0eXL19WZmZmvvHMzExdvnxZnp6eqlixogEJgZLHOgAAAAAA4DpTN7osFouCg4OVlZWlkydP5hs/ceKEsrOzFRISUvrhgFLCOgAAAAAA4DpTN7okqW3btpKkdevW5RvLOdauXbtSzQSUNtYBAAAAAAAu0Ojq3bu3PD09NWvWLMXExOQe379/v2bPni0vLy8NGDDAwIRAyWMdAAAAAABg8qcuSlJgYKDGjx+vSZMmqV+/fmrVqpXsdru2bdumzMxMTZkyRVWrVjU6JlCiWAcAAAAAALjAFV2SNHDgQM2YMUNNmzbVzp07FRMTo4iICH366afq2bOn0fGAUsE6QGnIzs7WBx98oLZt26pp06Z69tlnderUKaNjoYhmzpyp/v37Gx0DDiQlJemtt95Sx44dFR4ert69e2v9+vVGx4IDcXFxGjt2rCIjIxUeHq7hw4fr6NGjRsdCEZ04cULh4eFavHix0VHgQGxsrEJDQ/N9UTPntXz5cj388MNq3LixHnnkEa1du9boSCjAtm3bClxboaGh6tSpk9HxioUpruiaN2/eLed06NBBHTp0KIU0gDFYB3AG//znP/XFF1/oH//4hwICAvTee+9p6NChWr16tTw9PY2Oh0IsWLBAU6dOVXh4uNFR4MCECRN0+PBh/f3vf1fNmjW1du1ajRo1SnPnztUDDzxgdDzcwG63649//KNsNpvmzJkjb29vTZs2TUOGDFFUVJTKly9vdEQUIiMjQy+++KJSUlKMjoJCHD58WDabTd98802e4xUqVDAoEQqzYsUKTZw4UePHj1f79u21Zs0ajR07Vv7+/mrevLnR8XCD8PBwbdy4Mc+xI0eOaPjw4XruuecMSlW8TNHoAgAYLz09XXPnztWLL76Y+3CDqVOnqk2bNlq7dq169eplbEAUKC4uTq+//rq2bdumunXrGh0HDiQkJCgqKkozZ85U69atJUl/+tOftGXLFi1ZsoRGl5O5cOGC6tWrpxdeeCF3XY0YMUI9e/bUkSNHaCg7uenTp9OMNIEjR46oXr168vPzMzoKbsFut2vatGkaNGiQ/vCHP0iSnn/+eUVHR2vr1q00upyMh4dHnnWVkZGht956S126dNGTTz5pYLLi4xK3LgIASt6hQ4eUkpKiVq1a5R6z2Wxq2LChoqOjDUyGwhw4cEDly5fXypUr1bRpU6PjwAFvb2/NmjVLLVq0yHPcYrEoMTHRoFRwxM/PT1OnTs1tcl24cEFz5syRv7+/QkJCDE6HwuzYsUOLFi3SlClTjI6CWzh8+LDq1atndAwUQWxsrM6ePatHH300z/E5c+Zo5MiRBqVCUc2bN0/nzp3ThAkTjI5SbLiiCwBQJHFxcZKkgICAPMf9/f117tw5IyKhCDp27KiOHTsaHQO3YLPZ9NBDD+U5tmfPHm3dulWvvPKKQalQFC+//LK++uoreXh46OOPP+ZKISd29epVjRs3Tq+88oqqV69udBzcwpEjR1S7dm3169dPp0+fVp06dTRixAi1adPG6Gi4ycmTJyVdv/p/+PDh2r9/vwIDA/X888/zZxAnl5qaqpkzZ2rw4MH5/oxvZlzRBQAoktTUVEnXL3e+kYeHh9LT042IBLis48ePa9SoUWratKmeeuopo+OgEEOHDtWSJUv06KOPauTIkYqJiTE6Ehz429/+pmbNmumxxx4zOgpuISUlRWfOnNG1a9c0ZswYffLJJwoLC9OwYcO0efNmo+PhJklJSZKkcePGqVu3bpo7d67atGmjESNGaNOmTQanQ2FWrFihtLQ0DR482OgoxYorugAAReLl5SXp+t/W3djsSk9Pl4+Pj1GxAJezY8cOjRo1SjVq1NDMmTPl7u5udCQUon79+pKkyZMna+/evZo3bx63xTmh5cuXKzo6WqtWrTI6CorAx8dHO3fulLu7e+6fOcLCwnT8+HHNnj07dy9DOIec/08988wzeuKJJyRJ9913n2JiYjR37lw9+OCDRsZDIVasWKEuXbqoSpUqRkcpVlzRBQAokpzbPOLj4/Mcj4+Pd6lLnQEjrVy5Us8884waNWqkefPmydfX1+hIKEB8fLxWrVolu92ee8xqtSo4ODj3Nm84l6VLl+rixYtq3769wsPDcx8YMGnSJD3yyCMGp0NBypcvn+8q8pCQEP32228GJYIj99xzjyTl26Owfv36OnPmjBGRUASXLl3Snj178u2t5gpodAEAiqRBgway2Wzavn177rGkpCQdPHhQLVu2NDAZ4BpWrVqlcePGqXv37po5c6ZsNpvRkeDAuXPn9OKLL2rnzp25xzIyMnTw4EE2z3ZS//d//6c1a9Zo+fLluV+SNGrUKH3yySfGhkM+u3fvVnh4uPbt25fneExMTO5VlHAeDRs2VPny5bV///48x48cOaJ7773XoFS4lV27dslisej+++83Okqx49ZFAECReHh4aNCgQZo6daqqVaumwMBAvffeewoICFDXrl2NjgeY2vnz5/Xqq68qMjJSL730kq5cuZI75u7uzpVdTqZx48aKjIzUa6+9pkmTJqlixYqaMWOGrly5oiFDhhgdDwVwdOVxlSpVVLNmzVJOg1sJCwtTYGCgXn31Vb322mvy9fXVF198od27d+vLL780Oh5u4uXlpWHDhumjjz6Sv7+/mjVrptWrV2vjxo369NNPjY4HBw4ePKhatWq55BYkXNEFAC5u2bJlCg0NVXR0tMM5mzdv1uDBgxUZGamIiAg9/fTT+vnnn/PNe+GFF9S3b1+99tpr6t+/v+x2u2bPnp3v1gLcneKsGUpWcdUqKipKqamp2rp1q9q2bas2bdrkfj3//PMl/THKjOKql9Vq1fTp09W8eXP95S9/Ud++fZWYmKgFCxaoVq1aJf0xyhT+e2guxVUvd3d3zZ49W6GhoXrhhRfUq1ev3P2eGjZsWNIfo8wozvU1YsQIvfDCC/rggw/08MMPa+3atZo+fboeeOCBkvwIZUpx//cwISFBlSpVKqm4hrLYb9xcAADgUnbv3q1nn31WKSkpWrBggVq0aJFvzrJlyzRhwgR5eHioVatWys7O1rZt25SRkaFJkybxxLdSRs3Mg1qZC/UyH2pmLtTLXKiXuVCv22QHALikb7/91h4eHm4PCQmxh4SE2Hfs2JFvTlxcnD0sLMzevHlz++HDh3OP79271x4REWFv3Lix/fz586UZu0yjZuZBrcyFepkPNTMX6mUu1MtcqNft49ZFAHAx58+f17hx4zR69GhlZ2erWrVqDufOnz9f6enpGjJkSJ4n5TRp0kTDhg1TWlqaFi1aVBqxyzRqZh7Uylyol/lQM3OhXuZCvcyFet05Gl0A4GLef/99rVixQmFhYVq0aJGCgoIczs25Z79z5875xrp06SJJ2rBhQ8kERS5qZh7Uylyol/lQM3OhXuZCvcyFet05nroIAC4mKChIU6ZMUY8ePWS1Ov77DLvdrmPHjslqtRb4P846derIarXq2LFjstvtslgsJRm7TKNm5kGtzIV6mQ81MxfqZS7Uy1yo152j0QUALmb48OFFmpeYmKj09HRVqVKlwKcmurm5qXLlyrp48aKSk5Nls9mKOyr+g5qZB7UyF+plPtTMXKiXuVAvc6Fed45bFwGgjEpNTZUkeXt7O5zj5eUlSUpOTi6VTCgcNTMPamUu1Mt8qJm5UC9zoV7mQr3yo9EFAGVUYZdA57Db7aWQBEVFzcyDWpkL9TIfamYu1MtcqJe5UK/8aHQBQBnl4+MjSUpLS3M4J2essL8hQumhZuZBrcyFepkPNTMX6mUu1MtcqFd+NLoAoIyy2Wzy8fHR5cuXlZmZmW88MzNTly9flqenpypWrGhAQtyMmpkHtTIX6mU+1MxcqJe5UC9zoV750egCgDLKYrEoODhYWVlZOnnyZL7xEydOKDs7WyEhIaUfDgWiZuZBrcyFepkPNTMX6mUu1MtcqFd+NLoAoAxr27atJGndunX5xnKOtWvXrlQzoXDUzDyolblQL/OhZuZCvcyFepkL9cqLRhcAlGG9e/eWp6enZs2apZiYmNzj+/fv1+zZs+Xl5aUBAwYYmBA3o2bmQa3MhXqZDzUzF+plLtTLXKhXXm5GBwAAGCcwMFDjx4/XpEmT1K9fP7Vq1Up2u13btm1TZmampkyZoqpVqxodEzegZuZBrcyFepkPNTMX6mUu1MtcqFdeNLoAoIwbOHCgatSoodmzZ2vnzp3y8PBQRESEnn/+eT3wwANGx0MBqJl5UCtzoV7mQ83MhXqZC/UyF+r1Xxa73W43OgQAAAAAAABwt9ijCwAAAAAAAC6BRhcAAAAAAABcAo0uAAAAAAAAuAQaXQAAAAAAAHAJNLoAAAAAAADgEmh0AQAAAAAAwCXQ6AIAAAAAAIBLoNEFAAAAAAAAl0CjCwAAAE7jzJkzCg0Nva2vdevWGR3b6SUlJalDhw566aWX7vgcb7zxhkJDQ9WtW7civ+btt99WaGioBgwYIOl6fRs3bqwZM2bccQ4AAArjZnQAAAAAoCBhYWHy8PC45TxfX9+SD2Ny//jHP3ThwgWNGTPmjs/x+OOPa+HChTp58qRiYmIUFhZW6Pzs7GytWbMm97WSFBgYqEGDBunDDz9Ux44dFRIScsd5AAAoCI0uAAAAOKVp06YpMDDQ6Bimt2/fPi1ZskR/+MMfVKNGjTs+T5MmTRQUFKTY2FitWbPmlo2ubdu2KT4+Xl5eXurevXvu8eeee05ffvml3nzzTc2bN++O8wAAUBBuXQQAAABc2Lvvvqty5crp2Wefvetz9erVS5L0zTffyG63Fzp35cqVkqQuXbrIZrPlHvf19VW/fv20fft2/fTTT3edCQCAG9HoAgAAAFzUrl27tH37drVr104BAQF3fb6ePXvKarXq7Nmz2rNnj8N5aWlpioqKkiT17t0733ifPn0kSR9//PFdZwIA4EY0ugAAAOAyli1bptDQUE2aNEmXLl3SpEmT1L59e4WFhaldu3Z6/fXXFR8fX+Br09PT9dlnn+mJJ55QeHi4mjVrpscff1xz5sxRWlpavvlPP/20QkNDtWvXLr3xxhuKiIhQRESEhgwZouzsbElSVlaWFi9erD59+igiIkItW7bUqFGjdPToUU2fPl2hoaGaPn26JOn7779XaGioWrZsqfT09AIzLl++XKGhoRoyZEiRfh5ffPGFJOnRRx91OGfHjh0aOXKkWrdunftzmjhxok6dOpVv7j333KPIyEhJ0urVqx2e84cfflBSUpKqV6+uVq1a5RuvW7euGjVqpN27d+vw4cNF+iwAABQFjS4AAAC4nPj4ePXu3VsLFy5UuXLlVKdOHZ0/f17//ve/1a9fP129ejXP/CtXrmjgwIF6++23dfDgQfn5+enee+/V4cOH9c4776h///66fPlyge81ZcoULVy4UDVr1lT58uXl5+cnq9WqjIwMjRkzRq+88or279+vgIAABQQEaN26derTp492796d5zwPPfSQqlSposTERG3cuLHA98q5HbBnz563/BlkZmZq/fr1slqtevDBBwuc89FHH2nQoEFat26dsrOzFRISopSUFC1dulQ9e/Ys8NbCG29fzGno3WzVqlW5Oa3Wgn/lyMn0zTff3PKzAABQVDS6AAAA4HK+++47eXp6aunSpVq/fr2+/vprffHFF/L29tbZs2f15Zdf5pn/8ssva9++fQoPD9e3336rqKgorVy5UuvXr1eLFi104MAB/fWvfy3wvfbs2aMPP/xQq1at0k8//ZQ77/PPP9e3336rypUra+HChVq7dq1WrVqllStXyt/fX5s2bcpzHjc3Nz3yyCOSpK+//jrf+yQkJGjr1q3y9vZWly5dbvkziImJUXJysurWratKlSrlG4+KitK0adNks9k0depUbd26VcuWLdPmzZv15z//WampqRo7dqx+++23PK/r2rWrfHx8lJCQoB07duQ7b2JiYm6DLKcpVpCIiAhJ1zetBwCguNDoAgAAgFPq1KmTQkNDC/16+eWXHb7+nXfeUaNGjXK/j4iIyG0k3bi/1P79+/XDDz/I19dXH330ke69997cserVq+uDDz5Q+fLltX79ev3yyy/53ic8PDy38WS1WuXr66vMzEx98sknkqTJkyerefPmufNDQkI0ffp0WSyWfOfKaQx9//33SklJyTO2evVqZWVlqVOnTnk2d3dk+/btkqTg4OACx6dNmyZJmjhxoh5++OHc4+7u7hoxYoS6d++upKQkffbZZ3le5+Pjo27duuVmutm3336rjIwMhYeHq27dug7z5eTat29fgbeGAgBwJ2h0AQAAwCmFhYXl7nvl6KtOnToFvtbX11dNmzbNdzyn8ZKUlJR7bP369ZKk1q1bq0qVKvleU7Vq1dx9pjZs2JBvvFmzZvmO7d69W1euXJGfn586duyYb7xBgwZ5ml83fub69esrNTU1N1eO27ltUZLOnj0rSapVq1a+sdOnT+vYsWOyWq15mlw3ytnXq6DPnNOQi4qKUmZmZp6xnNsWC9qE/kaBgYEqV66cMjIyHO6bBgDA7XIzOgAAAABQkGnTpikwMPCOXuvv71/gcS8vL0nXN4nPcfz4cUlSdHS0+vfvX+Drzpw5I0k6ceJEvjE/P798x3LOGRISUuCVW5J03333KTo6Ot/xHj166L333tPq1av12GOPSZJiY2N14MABVatWzeF+WzfL2VOsQoUK+caOHTsm6foVaM8++2yBr//9998lSadOnZLdbs/zOSIjI1WzZk2dPXtWW7ZsUdu2bSVJ58+f144dO+Tl5aXu3bsXms9isah8+fK6evWqLl26VGBDDgCA20WjCwAAAC7H3d29yHNzru6Kj4+/5ZVF165dy3fM09Mz37ErV65Ikry9vR2eq3z58gUe79mzp6ZOnaqNGzfqypUr8vX11YoVKyRdv8qqXLlyhWbMkbPhfk5z70Y5nzkzM1O7du0q9DzZ2dlKTk7Oc7ukxWLRY489phkzZmjNmjW5ja5Vq1bJbrerc+fOBTbYbubt7a2rV6/mezgAAAB3ikYXAAAAyrScZtT48eMdXt10p+dMTk52OMfRWEBAgFq1aqXNmzfru+++U9++fbVmzRpJRb9tUfpvA+7G2zRz+Pj4SLp+xVnOrYa36/HHH9eMGTO0bt06vfHGG/Lw8Mg91+OPP16kc+Q0DgtqFgIAcCfYowsAAABlWu3atSX993bDghw8eFCHDh0qsGlUkJyN1o8ePSq73V7gnKNHjzp8fU5Da926dTp27JhOnz6t+vXrq2HDhkV6f0m5+43lXF12o5zP/Ouvvyo9Pb3A11+4cEHR0dGKi4srcLxOnToKDw/X1atXtWXLFp04cUKHDx9WQECAWrdufct86enpuRvuV61atSgfCQCAW6LRBQAAgDKtffv2kq5vrH7p0qV849euXdOQIUPUq1cvrV27tkjnbNGihXx9fXXhwoUCN3M/ffq0duzY4fD1Xbt2lY+Pj7Zs2ZL7nj169CjSe+fI2Xi/oEZVcHCwatasqdTU1NzbIm/23nvvaeDAgRozZozD98hpyK1fv17fffdd7jGr9da/ZuTkcnNzY38uAECxodEFAACAMi0yMlL333+/rl69queee06nTp3KHYuLi9OIESOUmJgoPz+/3M3hb8XT01NDhw6VJP31r3/V3r17c8dOnz6tkSNH5tkQ/2Y+Pj7q2rWr0tLSNHfuXFmt1iK/d46cp07u2bMn35jFYtGIESMkSW+99ZZWr16dO5aZmanZs2dr2bJlklTo7ZyPPPKIPDw89P3332vdunWSin7bYk6uRo0aycPDo0ivAQDgVtijCwAAAE7pz3/+c5EaIPfff7/Gjh17V+/13nvvaejQodq3b5+6deum4OBgWa1WxcbGKiMjQzabTbNmzSpwY3dHnn32WUVHR+unn37Sk08+qXr16snd3V1Hjx6Vj4+PateurVOnTjncXL5Xr15avny5UlJS1KpVK1WvXv22PlN4eLhsNpvi4+N19uxZ1axZM894nz59dPToUX322WcaO3as3n77bQUEBOjMmTO5tzuOHDlSnTt3dvgeFStWVMeOHfXNN98oISFBzZo1U1BQUJHy7d69W5LUpk2b2/pcAAAUhkYXAAAAnFJMTEyR5lWuXPmu3ysgIECLFy/WggULtHbt2twGl7+/v9q0aaPhw4crMDDwts7p5uamjz76SPPnz9eyZct06tQpeXp6qkuXLhozZozefPNNnTp1ymHzLDIyUgEBAYqLi7utTehzeHh4qGvXrlq2bJk2bdqkJ598Mt+cCRMmqG3btlqwYIH27t2rX375RTabTW3atNGAAQPUqVOnW77P448/rm+++Sb3n4tq06ZNkq5fFQYAQHGx2B3tjgkAAACgxPTt21f79u3Tu+++W+D+WykpKXrwwQdlt9u1ceNG2Wy2236PX375RT179lR4eLj+/e9/F0fsYrFr1y71799fDz30kGbNmmV0HACAC2GPLgAAAKCYJScnq23btnr66aeVmpqabzwhIUGHDh2SJIdPUly7dq1SUlL0P//zP3fU5JKkBg0aqF27dtq9e7diY2Pv6BwlIWf/r+eee87gJAAAV0OjCwAAAChm5cuXV6VKlbR9+3a9//77SktLyx07f/68xowZo4yMDLVo0ULBwcG5Y6dOndKZM2e0YcMGvfPOO5KkQYMG3VWWkSNHymKx6F//+tddnae4XLhwQatXr1bLli3VokULo+MAAFwMty4CAAAAJWDz5s167rnnlJ6ergoVKujee+9VamqqTp8+rczMTNWuXVtz587Ns/fXu+++q9mzZ+d+/8QTT+itt9666yxvvPGGvvzyS61Zs0a1a9e+6/PdjUmTJmnJkiVavnx5kTeuBwCgqLiiCwAAACgBrVu31urVq9W/f38FBAToxIkTSkhIUP369fXnP/9ZS5cuzbfBfaNGjWSz2eTr66tBgwbpb3/7W7FkefHFFxUQEKBp06YVy/nu1K+//qovv/xSo0aNoskFACgRXNEFAAAAAAAAl8AVXQAAAAAAAHAJNLoAAAAAAADgEmh0AQAAAAAAwCXQ6AIAAAAAAIBLoNEFAAAAAAAAl0CjCwAAAAAAAC7h/wP4IDJd+9N6sAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,8), gridspec_kw={'width_ratios': [1, 10]})\n",
    "sns.boxplot(y=without_outliers[[\"Data\"]].values, ax=ax1)\n",
    "ax1.set_yscale('log')\n",
    "ax2.loglog(without_outliers.Energy, without_outliers.Data)\n",
    "\n",
    "ax1.set_ylabel(\"Cross Section (b)\")\n",
    "ax2.set_xlabel(\"Energy (eV)\")\n",
    "\n",
    "plt.savefig(os.path.join(figure_dir, \"u235_ng_xs_dist_without_outliers.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These types of processes are not acceptable. We lose a lot of useful information. In another notebook, we shall use more advanced methods including robust covariance, one-class SVM, and isolation forests to try and clean the data better. \n",
    "\n",
    "In a different note, another benefit of applying a log transformation is the easy visualization and the creation of correlation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T05:39:05.538622Z",
     "start_time": "2021-02-05T05:39:05.528622Z"
    }
   },
   "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>Energy</th>\n",
       "      <th>Data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.019248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data</th>\n",
       "      <td>-0.019248</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Energy      Data\n",
       "Energy  1.000000 -0.019248\n",
       "Data   -0.019248  1.000000"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u235_ng[[\"Energy\", \"Data\"]].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T05:39:17.368250Z",
     "start_time": "2021-02-05T05:39:17.359235Z"
    }
   },
   "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>Energy</th>\n",
       "      <th>Data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.430042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data</th>\n",
       "      <td>-0.430042</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Energy      Data\n",
       "Energy  1.000000 -0.430042\n",
       "Data   -0.430042  1.000000"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.log10(u235_ng[[\"Energy\", \"Data\"]]).corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reaction Channel (MT Values) - Categorical\n",
    "\n",
    "Before modeling the EXFOR database, we need to understand the possible limitations of any model using this data. There are a variety of reaction channels but not all of them all well researched. Knowing the reaction class balances will allow us to have a certain degree of confidence when deploying a model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:58:15.690122Z",
     "start_time": "2021-02-05T03:58:12.181749Z"
    }
   },
   "outputs": [],
   "source": [
    "# This file contains the meaning of each MT code, useful for plotting\n",
    "mt_codes = pd.read_csv(\"../CSV_Files/mt_codes.csv\")\n",
    "mt_codes[\"MT\"] = mt_codes.astype(str)\n",
    "mt_codes = mt_codes[[\"MT\", \"MT_Reaction_Notation\"]]\n",
    "\n",
    "MT_value_counts = df.MT.astype(str).value_counts()\n",
    "MT_value_counts = pd.DataFrame(MT_value_counts).reset_index()\n",
    "MT_value_counts.columns = [\"MT\", \"Count\"]\n",
    "\n",
    "MT_value_counts = mt_codes.merge(MT_value_counts).sort_values(by=\"Count\", ascending=False)\n",
    "MT_value_counts[\"MT\"] = MT_value_counts[\"MT\"].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**What are the highest researched reaction channels?**\n",
    "\n",
    "It appears that (n, fission) is the most researched reaction. This makes sense since many resources have been spent trying to understand fission, especially since it is by this mechanism that nuclear reactors and weapons work. The next one is (N,G), a reaction important for studies in safety and neutron moderation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T03:58:15.698124Z",
     "start_time": "2021-02-05T03:58:15.691122Z"
    }
   },
   "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>MT</th>\n",
       "      <th>MT_Reaction_Notation</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>(n,fission)</td>\n",
       "      <td>507541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>102</td>\n",
       "      <td>(n,g)</td>\n",
       "      <td>215904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>9000</td>\n",
       "      <td>Production Data</td>\n",
       "      <td>84333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>51</td>\n",
       "      <td>(n,n1)</td>\n",
       "      <td>49835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>(n,inelastic)</td>\n",
       "      <td>37641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>(n,elastic)</td>\n",
       "      <td>37296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>103</td>\n",
       "      <td>(n,p)</td>\n",
       "      <td>17270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>107</td>\n",
       "      <td>(n,a)</td>\n",
       "      <td>15295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>(n,2n)</td>\n",
       "      <td>10930</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MT MT_Reaction_Notation   Count\n",
       "6     18          (n,fission)  507541\n",
       "17   102                (n,g)  215904\n",
       "34  9000      Production Data   84333\n",
       "15    51               (n,n1)   49835\n",
       "3      4        (n,inelastic)   37641\n",
       "1      2          (n,elastic)   37296\n",
       "18   103                (n,p)   17270\n",
       "22   107                (n,a)   15295\n",
       "4     16               (n,2n)   10930"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MT_value_counts[1:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**What is the label (cross-section) distribution as a function of the reaction channel?**\n",
    "\n",
    "There is no need to look at the distribution of cross-section data in regards to the reaction channel. Usual statistics will not work here. The cross-section ranges are a function of the element/isotope, and the reaction channel. Statistics based on the entire dataset will result in erroneous conclusions. As an example, let us observe the `Data` distribution of the most researched channels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T20:21:28.737406Z",
     "start_time": "2021-02-04T20:21:27.493371Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x72 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x72 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x72 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x72 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in MT_value_counts[1:5].MT.values:\n",
    "    plt.figure(figsize=(17,1))\n",
    "    sns.boxplot(x=np.log10(df[df.MT == int(i)].Data).values)\n",
    "    plt.xlabel(\"MT={} Data (Log10)\".format(i))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**What are the lowest researched reaction channels?**\n",
    "\n",
    "Reactions with a high number of outgoing particles have much lower probabilities than those with only one or two resulting particles. It will be harder to model these types of reactions but representing this feature as numerical might help extrapolate knowledge from the other highly researched reactions. For know, let us confirm our expectations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T20:32:07.787656Z",
     "start_time": "2021-02-04T20:32:07.778655Z"
    }
   },
   "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>MT</th>\n",
       "      <th>MT_Reaction_Notation</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>112</td>\n",
       "      <td>(n,p+a)</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2103</td>\n",
       "      <td>(n,p)DI</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>203</td>\n",
       "      <td>(n,Xp)</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>41</td>\n",
       "      <td>(n,2n+p)</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>108</td>\n",
       "      <td>(n,2a)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>158</td>\n",
       "      <td>(n,n+a+d)</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>113</td>\n",
       "      <td>(n,t+2a)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1108</td>\n",
       "      <td>(n,2a)CALC</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>159</td>\n",
       "      <td>(n,2n+p+a)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>37</td>\n",
       "      <td>(n,4n)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MT MT_Reaction_Notation  Count\n",
       "25   112              (n,p+a)     20\n",
       "33  2103              (n,p)DI     17\n",
       "30   203               (n,Xp)      9\n",
       "14    41             (n,2n+p)      7\n",
       "23   108               (n,2a)      6\n",
       "28   158            (n,n+a+d)      5\n",
       "26   113             (n,t+2a)      2\n",
       "32  1108           (n,2a)CALC      2\n",
       "29   159           (n,2n+p+a)      1\n",
       "13    37               (n,4n)      1"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MT_value_counts[-10:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These reactions are expected to have similar ranges in terms of Cross Section so we can plot them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T04:03:37.622403Z",
     "start_time": "2021-02-05T04:03:34.333093Z"
    }
   },
   "outputs": [],
   "source": [
    "low_research = df[df['MT'].astype(str).isin(MT_value_counts[-10:].MT.values.astype(str))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T04:04:14.794739Z",
     "start_time": "2021-02-05T04:04:14.416920Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 28.400000000000034, 'Reaction Channel (MT)')"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1008x576 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8))\n",
    "sns.catplot(x=\"MT\", y=\"Data\", data=low_research, height=6, aspect=2, kind=\"box\")\n",
    "plt.ylabel(\"Cross Section (b)\")\n",
    "plt.xlabel(\"Reaction Channel (MT)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Proton and Neutron Distribution\n",
    "\n",
    "Previously we mentioned that the most important features are the Energy, Reaction Channel, and the Isotope. **What characterizes the isotope?** The isotope is made of neutrons and protons. Understanding the distributions will help us understand in what regions our models are expected to perform well and for which isotopes the performance might be poor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:47:06.854205Z",
     "start_time": "2021-02-11T06:46:28.865502Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Pedro\\Anaconda3\\envs\\tf_nightly\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\Pedro\\Anaconda3\\envs\\tf_nightly\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8))\n",
    "sns.distplot(df.Z.values, label=\"Protons\")\n",
    "sns.distplot(df.N.values, label=\"Neutrons\")\n",
    "# plt.xlabel('Number of Neutrons')\n",
    "plt.ylabel('Distribution')\n",
    "plt.xlabel('Proton (Z) and Neutron (N) Number')\n",
    "plt.legend()\n",
    "plt.title(\"Proton and Neutron Distribution\")\n",
    "plt.savefig(os.path.join(figure_dir, \"proton_neutron_distribution.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apparently, we have a lot of data for:\n",
    "\n",
    "- Isotopes with protons and neutrons near 26 (~Iron)\n",
    "- Neutrons in the 145 range (~Uranium, Plutonium)\n",
    "- Protons in the 92 range (~Uranium)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experimental Campaigns per Year\n",
    "\n",
    "One of the biggest challenges with this data set is the measurement uncertainties. These are usually reported when creating an entry in EXFOR. However, there are plenty of missing values for uncertainties in terms of both the Energy and the Data. These are suspected to be mostly in old measurements. Let us explore the dataset to find out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:50:00.773736Z",
     "start_time": "2021-02-11T06:49:31.239655Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Pedro\\Anaconda3\\envs\\tf_nightly\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3146: DtypeWarning: Columns (17,30,31) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    }
   ],
   "source": [
    "df_original = pd.read_csv(\"../CSV_Files/EXFOR_neutrons/EXFOR_neutrons_ORIGINAL.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T04:17:03.813633Z",
     "start_time": "2021-02-05T04:17:03.373475Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "18.00% of the uncertainties in Cross Section are missing\n"
     ]
    }
   ],
   "source": [
    "missing_uncertanties_data = len(df_original[df_original[\"dData\"].isnull()]) / len(df_original)\n",
    "print(\"{0:.2f}% of the uncertainties in Cross Section are missing\".format(missing_uncertanties_data*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T04:17:27.167240Z",
     "start_time": "2021-02-05T04:17:25.358699Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "77.02% of the uncertainties in Energy are missing\n"
     ]
    }
   ],
   "source": [
    "missing_uncertanties_energy = len(df_original[df_original[\"dEnergy\"].isnull()]) / len(df_original)\n",
    "print(\"{0:.2f}% of the uncertainties in Energy are missing\".format(missing_uncertanties_energy*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Massive amounts of data did not report uncertainties in either Energy or the Cross-Section**. The high number of missing values will present a unique challenge if we are to model uncertainties also in multi-output regression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:50:06.960568Z",
     "start_time": "2021-02-11T06:50:06.078205Z"
    }
   },
   "outputs": [],
   "source": [
    "years_with_missing_uncertainties = df_original[df_original['dData'].isnull()].Year\n",
    "institutes_with_missing_uncertainties = df_original[df_original['dData'].isnull()].Institute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:50:08.888195Z",
     "start_time": "2021-02-11T06:50:06.961560Z"
    }
   },
   "outputs": [],
   "source": [
    "years_with_missing_uncertainties_e = df_original[df_original['dEnergy'].isnull()].Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:50:40.525579Z",
     "start_time": "2021-02-11T06:50:38.238311Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(a)')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(years_with_missing_uncertainties_e, height=6, aspect=3, bins=50)\n",
    "plt.title(\"(a)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T04:19:07.292709Z",
     "start_time": "2021-02-05T04:19:06.525231Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Missing Values per Year')"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(years_with_missing_uncertainties, height=6, aspect=3, bins=50)\n",
    "plt.title(\"Missing Values per Year\")\n",
    "plt.savefig(os.path.join(figure_dir, \"missing.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:56:09.477502Z",
     "start_time": "2021-02-11T06:56:07.792851Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(2, figsize=(20,10))\n",
    "ax1.hist(years_with_missing_uncertainties, bins=50, label=\"Missing Cross Section Uncertainties\")\n",
    "ax2.hist(years_with_missing_uncertainties_e, bins=50, label=\"Missing Energy Uncertainties\")\n",
    "ax1.set_ylabel('Count')\n",
    "ax2.set_ylabel('Count')               \n",
    "ax2.set_xlabel('Year')\n",
    "ax1.legend()\n",
    "ax2.legend()\n",
    "plt.savefig(os.path.join(figure_dir, \"xs_e_unc_hist.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Indeed, most of the measurements perform from the 50s to the 80s simply did not reported uncertainties. **What institutes are responsible for the datapoints containing missing uncertainties?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T23:02:13.104073Z",
     "start_time": "2021-02-04T23:02:12.930070Z"
    }
   },
   "outputs": [],
   "source": [
    "institutes_with_missing_uncertainties = institutes_with_missing_uncertainties.value_counts()[:10]\n",
    "institutes_with_missing_uncertainties = pd.DataFrame(institutes_with_missing_uncertainties).reset_index()\n",
    "institutes_with_missing_uncertainties.columns = [\"Institute\", \"Count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T23:02:15.738176Z",
     "start_time": "2021-02-04T23:02:15.730176Z"
    }
   },
   "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>Institute</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1USAORL</td>\n",
       "      <td>152356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1USACOL</td>\n",
       "      <td>149661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1USALAS</td>\n",
       "      <td>121619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2GERKFK</td>\n",
       "      <td>117092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1USARPI</td>\n",
       "      <td>109206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2ZZZGEL</td>\n",
       "      <td>73840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1USAANL</td>\n",
       "      <td>41487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1USADKE</td>\n",
       "      <td>33990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1USAMTR</td>\n",
       "      <td>25559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2AUSIRK</td>\n",
       "      <td>24367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Institute   Count\n",
       "0   1USAORL  152356\n",
       "1   1USACOL  149661\n",
       "2   1USALAS  121619\n",
       "3   2GERKFK  117092\n",
       "4   1USARPI  109206\n",
       "5   2ZZZGEL   73840\n",
       "6   1USAANL   41487\n",
       "7   1USADKE   33990\n",
       "8   1USAMTR   25559\n",
       "9   2AUSIRK   24367"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "institutes_with_missing_uncertainties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, ORNL-based experimental campaigns failed the most to report uncertainties followed by Columbia University. Should we use the uncertainties feature or should we drop these and focus on the raw data?\n",
    "\n",
    "## Isotope Distributions\n",
    "\n",
    "**What are the highest researched isotopes?** Fe-56, Pu-239, U-235, 238U 233U Al-27 Np-237, 91Zr cover the majority of the measurements here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:28:37.467392Z",
     "start_time": "2021-02-11T06:28:37.105046Z"
    }
   },
   "outputs": [],
   "source": [
    "isotope_distribution = pd.DataFrame(df.Isotope.value_counts()).reset_index()\n",
    "isotope_distribution.columns = [\"Isotope\", \"Count\"]\n",
    "# print(isotope_distribution.to_latex(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-05T04:33:56.047316Z",
     "start_time": "2021-02-05T04:33:56.039313Z"
    }
   },
   "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>Isotope</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>56Fe</td>\n",
       "      <td>234812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>239Pu</td>\n",
       "      <td>213238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>235U</td>\n",
       "      <td>186202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>233U</td>\n",
       "      <td>132829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>238U</td>\n",
       "      <td>126862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>237Np</td>\n",
       "      <td>121401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>91Zr</td>\n",
       "      <td>102523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>28Si</td>\n",
       "      <td>96671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>241Pu</td>\n",
       "      <td>94860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>207Pb</td>\n",
       "      <td>93372</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Isotope   Count\n",
       "0    56Fe  234812\n",
       "1   239Pu  213238\n",
       "2    235U  186202\n",
       "3    233U  132829\n",
       "4    238U  126862\n",
       "5   237Np  121401\n",
       "6    91Zr  102523\n",
       "7    28Si   96671\n",
       "8   241Pu   94860\n",
       "9   207Pb   93372"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isotope_distribution[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:29:37.624747Z",
     "start_time": "2021-02-11T06:29:37.615756Z"
    }
   },
   "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>Isotope</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>132Cs</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>134Ce</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>135Ce</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>143Ce</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>146Pm</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>151Pm</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>161Gd</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>175Yb</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>203Hg</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>210Pb</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>224Ra</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>254Cf</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>41Ar</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>76Br</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>88Rb</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Isotope  Count\n",
       "524   132Cs      1\n",
       "521   134Ce      1\n",
       "514   135Ce      1\n",
       "518   143Ce      1\n",
       "515   146Pm      1\n",
       "527   151Pm      1\n",
       "525   161Gd      1\n",
       "520   175Yb      1\n",
       "517   203Hg      1\n",
       "526   210Pb      1\n",
       "522   224Ra      1\n",
       "519   254Cf      1\n",
       "516    41Ar      1\n",
       "528    76Br      1\n",
       "523    88Rb      1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isotope_distribution[-15:].sort_values(by=\"Isotope\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Why do we have so little measurments for many of these isotopes?** Many of these are radioactive and difficult to work with experimentally. A machine learning model might be able to extrapolate knowledge.\n",
    "\n",
    "## Nucleus Radius and Neutron-to-Nucleus Radius Ratio\n",
    "\n",
    "The cross sections is purely a gemoetrical concept. Quantum effects makes the reaction probabilities not be just a function of the size of the nucleus. However, there are some reactions in which the geometrical cross section is a good approximation. Because of this we created the nucleus radius and the neutron-to-nucleus radius ratio features. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-11T06:46:09.412253Z",
     "start_time": "2021-02-11T06:46:07.858086Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,8))\n",
    "ax1.hist(df.Nucleus_Radius.values, label=\"Nucleus Radius\", bins=20)\n",
    "ax2.hist(df.Neutron_Nucleus_Radius_Ratio.values, label=\"N-to-N Ratio\", bins=20)\n",
    "ax1.set_ylabel(\"Count\")\n",
    "ax1.set_xlabel(\"femtometer\")\n",
    "ax2.set_xlabel(\"femtometer\")\n",
    "ax1.legend()\n",
    "ax2.legend()\n",
    "plt.savefig(os.path.join(figure_dir, \"nucleus_radius_ratio.png\"), bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Element Flag (Natural and Isotopic Measurments)\n",
    "\n",
    "How many datapoints were measrued on pure isotopic samples and how many in natural targets?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T23:04:38.609100Z",
     "start_time": "2021-02-04T23:04:38.305103Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "I    3184818\n",
       "N    1000272\n",
       "Name: Element_Flag, dtype: int64"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Element_Flag.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EXFOR Status\n",
    "\n",
    "The EXFOR status is a tag placed by the database managers to indicate if it is approved, outdated, renormalized, correlated, and so on. This is a human tag and will therefore note be included for training to avoid bias. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-04T20:41:36.719106Z",
     "start_time": "2021-02-04T20:41:36.331108Z"
    }
   },
   "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>EXFOR_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>2165207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Approved_by_Author</th>\n",
       "      <td>1642322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Correlated</th>\n",
       "      <td>231122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dependent</th>\n",
       "      <td>123446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Preliminary</th>\n",
       "      <td>20306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Outdated</th>\n",
       "      <td>2512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Re_normalized</th>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    EXFOR_Status\n",
       "Other                    2165207\n",
       "Approved_by_Author       1642322\n",
       "Correlated                231122\n",
       "Dependent                 123446\n",
       "Preliminary                20306\n",
       "Outdated                    2512\n",
       "Re_normalized                175"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(df.EXFOR_Status.value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-07T05:22:23.711574Z",
     "start_time": "2021-02-07T05:22:23.704574Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Projectile', 'Target_Metastable_State', 'MF', 'MT',\n",
       "       'Product_Metastable_State', 'EXFOR_Status', 'Center_of_Mass_Flag',\n",
       "       'Energy', 'dEnergy', 'Data', 'dData', 'Cos/LO', 'dCos/LO', 'ELV/HL',\n",
       "       'dELV/HL', 'I78', 'Short_Reference', 'EXFOR_Accession_Number',\n",
       "       'EXFOR_SubAccession_Number', 'EXFOR_Pointer', 'Z', 'A', 'N',\n",
       "       'Reaction_Notation', 'Title', 'Year', 'Author', 'Institute', 'Date',\n",
       "       'Reference', 'Dataset_Number', 'EXFOR_Entry', 'Reference_Code',\n",
       "       'Projectile_Z', 'Projectile_A', 'Projectile_N', 'Isotope', 'Element'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_original.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}