{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SED fitting of a data cube\n",
    "\n",
    "In this tutorial we're going to go over the steps to fit each spectrum from a data cube that has already been voronoi binned (see `Voronoi_binning_of_SED_data.ipynb`). We are **NOT** going to assume that the BPASS-hoki templates for `ppxf` have been created so we will do that. \n",
    "\n",
    "Once we have been through all the steps in this jupyter notebook the actual fitting will be done in the python script `make_fits.py`. The reason we do this in a script and not in the notebook is because it is a time consuming process and jupyter adds overheads. If you're wondering why we create the templates outside of the `make_fits.py` script and not directly within it, that's because you might want to try to fit your galaxy with different ensembles of templates with more or fewer metallicities. For a discussion on how adding more metallicities to your group of templates can actually make your life worse and not better is the Supplementary Information in Stevance et al. 2023. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from ppxf import ppxf_util\n",
    "from hoki.sedfitting import KVN, plot_voronoi\n",
    "from hoki.constants import BPASS_METALLICITIES\n",
    "c = 299792.458  # speed of light"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Set-up: Making templates and normalising sample of spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# THIS WILL NEED UPDATING TO WORK ON YOUR MACHINE\n",
    "BPASS_MODEL_PATH = '../../BPASS_hoki_dev/bpass_v2.2.1_imf135_300/' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To know how to extract vorbinned spectra and errs see relevant jupyter notebook\n",
    "WL0=np.load('data/vorbinned_spectra.npy')[0]                                  # 1D np.array of obs. wl\n",
    "spectra=np.load('data/vorbinned_spectra.npy')[1:]                             # 1D np.array of obs. flux\n",
    "noise=np.load('data/vorbinned_specerr.npy')[1:]                               # 1D np.array of errs on flux"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# BPASS metallicities to include in the templates \n",
    "met_list=['z010','z020', 'z030']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['zem5',\n",
       " 'zem4',\n",
       " 'z001',\n",
       " 'z002',\n",
       " 'z003',\n",
       " 'z004',\n",
       " 'z006',\n",
       " 'z008',\n",
       " 'z010',\n",
       " 'z014',\n",
       " 'z020',\n",
       " 'z030',\n",
       " 'z040']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list of BPASS metallicities in hoki.constants for reference\n",
    "BPASS_METALLICITIES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for NGC4993 MUSE observations the delta_lambda of the spectrum is 1.25 Angstrom\n",
    "fwhm_obs = 1.25   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "outfile = 'data/kvn_010_020_030.pkl'  # save location of the templates "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "################################\n",
    "#  NORMALISING EACH SPECTRUM   #\n",
    "################################\n",
    "# Specifically we are dividing each spectrum by its median so they are all on roughly the same scale\n",
    "norm_fluxes, norm_errs, median_flux_ls = [], [], []\n",
    "\n",
    "for spec, err in zip(spectra, noise):\n",
    "    med = np.nanmedian(spec)                                                  # median of ith spectrum in our sample\n",
    "    median_flux_ls.append(med)                                                # storing the median for later use\n",
    "    norm_fluxes.append((spec/med)[1:-1])                                      # normalising the flux\n",
    "    norm_errs.append((err/med)[1:-1])                                       # same on the noise to conserve SNR\n",
    "\n",
    "WL = WL0[1:-1]                                                                # making sure WL has same shape as flux\n",
    "# NOTE: \"Why [1:-1]?\" Because when I was working on NGC4993 the data sometimes was messed up\n",
    "# in the first or last (often last) bin of the spectra so I cropped them. This can be removed for your use.\n",
    "\n",
    "norm_fluxes, norm_errs = np.array(norm_fluxes), np.array(norm_errs)       # lists to arrays to do maths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A data class would be a good way to put this stuff together and will be coming in future \n",
    "# hoki updates. For now being explicit separating the components of the data so the code\n",
    "# is easier to read. \n",
    "np.save('data/normalised_spectra_WL.npy', WL)\n",
    "np.save('data/normalised_spectra.npy', norm_fluxes)\n",
    "np.save('data/normalised_specerr.npy', norm_errs)\n",
    "np.save('data/median_flux_list.npy', np.array(median_flux_ls))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1494, 3679)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "norm_fluxes.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "###################################\n",
    "# SET-UP STEPS TO MAKE PPXF HAPPY #\n",
    "###################################\n",
    "\n",
    "# Calculating the recessional velocity - that will be our \"guess\" for the LOSV\n",
    "# LOSV = Line-of-sight velocity. This is what I often call the recessional velocity in tutorials and scripts\n",
    "\n",
    "z = 0.009783                                                                  # z from Hjorth et al. 2017\n",
    "recessional_vel = z*c                                                         # redshift * speed of light\n",
    "\n",
    "start = [recessional_vel, 160]                                                # start guesses for [LOSV, dispersion]km/s\n",
    "\n",
    "\n",
    "# Natural log rebinning using ppxf_util\n",
    "flux, loglamgalaxy, velscale = ppxf_util.log_rebin([WL[0], WL[-1]],           # wavelength range of observations\n",
    "                                                    norm_fluxes[200]          # one of the spectra (random)\n",
    "                                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32;1m[---INFO---]\u001b[0m TemplateMaker Starting\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Initial Checks\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Loading  model spectrum\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Calulating obs. velocity scale -- No dispersion\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Calculating template wavelength (log rebin) and velocity scale\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Calculating sigma\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Instanciating container arrays\n",
      "\u001b[32;1m[---INFO---]\u001b[0m Using all ages from 6.0 to 10.2 (included) - log_age_cols now set\n",
      "\u001b[33;1m[--RUNNING-]\u001b[0m Compiling your templates\n",
      "Progress: |██████████████████████████████████████████████████| 100.00% Complete\n",
      "\u001b[36;1m[-COMPLETE-]\u001b[0m Templates compiled successfully\n"
     ]
    }
   ],
   "source": [
    "##########################\n",
    "# MAKING THE TEMPLATES   #\n",
    "##########################\n",
    "\n",
    "kvn = KVN()                                                                   # Instanciating new ppxf helper\n",
    "kvn.make_templates(BPASS_MODEL_PATH,                                          # set by user at the top\n",
    "                   fwhm_obs=fwhm_obs,\n",
    "                   wl_obs=WL,\n",
    "                   wl_range_obs=[WL[0], WL[-1]],\n",
    "                   velscale_obs=velscale,                                     # calculated by ppxf_util.log_rebin\n",
    "                   wl_range_padding=[-50,50],                                 # only change if needed\n",
    "                   z_list=met_list,                                           # set by user at the top\n",
    "                  )\n",
    "\n",
    "kvn.save(outfile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 - Running the fits for the whole data cube\n",
    "Note I say \"whole\" data cube but the cube we are working with has been cropped down to contain NGC 4993 only and it would take significantly longer to do it for a full MUSE cube. \n",
    "Depending on how well or badly the fits go I average between 2 iterations (fits) per seconds and 3 seconds per fit. The better your SNR (generally) the lesser the struggle and different voronoi bins will take more or less time to fit. (note I have 12 CPUs working on this, it'll be faster if you are more of them or they have higher clock rates)\n",
    "\n",
    "**It is a time consuming process** we are fitting nearly 1500 spectra - if you have more metallicities you try to fit over you'll also slow the process down. \n",
    "\n",
    "As a general rule of thumb I would recommend doing individual fits of some of the voronoi bins in key regions of the galaxy (e.g. center, arms, outskirts) where you can take a close look at what goes in and how it comes out and iterate. You can do fits like we did in the region around AT2017gfo but instead of doing the whole integrating flux in concentric annulii just pick a voronoi bin and fit that. \n",
    "\n",
    "For this tutorial, if you've gotten to that point you should be able to just run:\n",
    "`\n",
    "python make_fits.py\n",
    "`\n",
    "\n",
    "### 2.1 - Quality control \n",
    "Now at this point we have nearly 1500 SED fits, all with their star formation histories, kinematic information, etc stored away in an hdf5 file created by `make_fits.py`. The helper function `LordCommander` handled the fits and stored away the solutions that we would have in our individual `KVN` object. We don't want to have 1500 `KVN` objects, because that would be a tremendous duplication of information (e.g. all the templates). \n",
    "\n",
    "Let's make a few necessary imports and take a look at what `LordCommander` created for us. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "import pandas as pd\n",
    "import pickle \n",
    "\n",
    "from astropy.wcs import WCS\n",
    "from hoki import load\n",
    "from hoki.sedfitting.lordcommander import LordCommander"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to see the tables it created:\n",
    "LordCommander?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay let's load our data! you don't need to open the hdf5 file directly because what we stored in there are pandas data frames (each a dataset within our group), which means you can just read those back into pandas with the `pd.read_hdf` function. \n",
    "\n",
    "Note that we didn't necessarily need to put that data in a group but if you'd wanted to try alternative settings for your fits and put them all in the same files you could have the results in different groups (e.g. if you want to include redenning).\n",
    "\n",
    "**LOADING THE DATA**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "FILE='data/ngc4993_010_020_030_clean.h5'                          # location of the .hdf5 file\n",
    "FOLDER=f'kvn_010_020_030_cleanTrue'                               # group where the datasets are located\n",
    "\n",
    "# see LordCommander documentation for the table names\n",
    "bestfit=pd.read_hdf(FILE, key=f'{FOLDER}/BEST_FIT')\n",
    "sfh=pd.read_hdf(FILE, key=f'{FOLDER}/SFH')\n",
    "dyn=pd.read_hdf(FILE, key=f'{FOLDER}/DYNAMICS')\n",
    "chi2=pd.read_hdf(FILE, key=f'{FOLDER}/CHI2')\n",
    "scale_factors=pd.read_hdf(FILE, key=f'{FOLDER}/SCALE_FACTOR')\n",
    "match_spectra=pd.read_hdf(FILE, key=f'{FOLDER}/MATCH_SPECTRA')\n",
    "polynomials = pd.read_hdf(FILE, key=f'{FOLDER}/MATCH_APOLY')\n",
    "flags=pd.read_hdf(FILE, key=f'{FOLDER}/FLAGS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Extra set-up to make pretty plots**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this is just to get the WCS info for our plots below\n",
    "with open('data/cropped_NGC4993.pkl', 'rb') as pickle_file:\n",
    "    cube = pickle.load(pickle_file)\n",
    "    \n",
    "wcs = WCS(cube.get_wcs_header())\n",
    "wcs = wcs.dropaxis(2)\n",
    "del cube\n",
    "\n",
    "# voronoi bin information required for the plots\n",
    "voronoi_bins = pd.read_csv('data/voronoi_bins.txt')\n",
    "x,y, sn, binNum = voronoi_bins.x.values, voronoi_bins.y.values, voronoi_bins.sn.values, voronoi_bins.binNum.values\n",
    "binNum=binNum.astype('int')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**2.1.1 Quality control: CHI2 and SNR**\n",
    "\n",
    "One of the first things to do is to look at the chi2. If it's high your fits likely don't have the right kinematics (although we can check on that a little down below). The chi2 will be somewhat dependent on the value of the SNR and that is why I like the plot both next to each other to see if there are any patterns in the chi2 that are not consisttent with the stuff we see in the SNR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'SNR')"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1350x525 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize=(9,3.5))\n",
    "chi2_cb = plot_voronoi(x, y, chi2.values.T[0][binNum], pixelsize=1, ax=ax[0], vmax=2.5,\n",
    "                        cmap='RdYlGn_r')\n",
    "divider0 = make_axes_locatable(ax[0])\n",
    "cax0 = divider0.append_axes('right', size='5%', pad=0.05)\n",
    "fig.colorbar(chi2_cb, cax=cax0, orientation='vertical')\n",
    "ax[0].set_title(\"chi2\")\n",
    "\n",
    "#fig, ax = plt.subplots(1,1, figsize=(5,3.5))\n",
    "sn_cb = plot_voronoi(x, y, sn, pixelsize=1, ax=ax[1], #vmax=2.5,\n",
    "                        cmap='gist_heat')\n",
    "divider1 = make_axes_locatable(ax[1])\n",
    "cax1 = divider1.append_axes('right', size='5%', pad=0.05)\n",
    "fig.colorbar(sn_cb, cax=cax1, orientation='vertical')\n",
    "ax[1].set_title(\"SNR\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above you'll note a few regions of poorer chi2: \n",
    "* the location of AT 2017gfo -> because of the transient light we don't fit it well with just stars. Makes sense\n",
    "* There is another point source (bottom right) which will naturally be poorly fit by the integrated spectrum of a stellar population and we can see it glow in the chi2. \n",
    "* Two big voronoi bins at the bottom: They are on the edge of the galaxy and massively binned becasue the data is not ideal. There just isn't much galaxy light in their to fit well\n",
    "* The center of the galaxy..... Let's talk about this a bit more down below with another form of Quality Control\n",
    "\n",
    "\n",
    "**2.1.2 - FLAGS**\n",
    "\n",
    "One of the tables we got from our hdf5 file is called FLAGS. In the class that drives the multiple ppxf fits I set up some FLAGS relating to the chi2, LOSV and the dispersion, to track the bins that deviate from the average and by how much: 2 sigma, 3 sigma, 5 sigma. \n",
    "\n",
    "Below is a copy-paste of the documentation:\n",
    "\n",
    "```\n",
    "Contains the flags. During the fitting procedure, flags are created when the chi2 value or\n",
    "dynamical parameters are higher than the median for the whole galaxy.\n",
    "=> There are flags for deviations by 2, 3 and 5 standard deviations.\n",
    "The value of the flag is:\n",
    "    - 2,3,5 for the Chi2\n",
    "    - 20,30,50 for the LOSV\n",
    "    - 200,300,500 for the dispersion.\n",
    "\n",
    "So a TOTAL flag with value 553 has a 3 sigma deviation in the Chi2, a 5 sigma diviation in the LOSV\n",
    "and a 5 sigma deviation in the dispersion.\n",
    "```\n",
    "\n",
    "Now let's look at the table:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CHI2</th>\n",
       "      <th>LOS</th>\n",
       "      <th>DISP</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bin_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1332</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1400</th>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>500</td>\n",
       "      <td>530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1403</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1405</th>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1409</th>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1410</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>300</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1413</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>500</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1420</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1425</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1427</th>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>500</td>\n",
       "      <td>533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1428</th>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>500</td>\n",
       "      <td>533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1432</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>500</td>\n",
       "      <td>502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>500</td>\n",
       "      <td>532</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        CHI2  LOS  DISP  TOTAL\n",
       "bin_id                        \n",
       "0          2    0     0      2\n",
       "15         2    0     0      2\n",
       "44         3    0     0      3\n",
       "101        3    0     0      3\n",
       "157        2    0     0      2\n",
       "438        2    0     0      2\n",
       "447        2    0     0      2\n",
       "469        3    0     0      3\n",
       "499        2    0     0      2\n",
       "527        5   50   500    555\n",
       "531        2    0     0      2\n",
       "556        3    0     0      3\n",
       "558        2    0     0      2\n",
       "562        2    0     0      2\n",
       "585        2    0     0      2\n",
       "587        2    0     0      2\n",
       "637        3   50   500    553\n",
       "657        2    0     0      2\n",
       "659        2    0     0      2\n",
       "661        3    0     0      3\n",
       "684        2    0     0      2\n",
       "1332       2    0     0      2\n",
       "1397       0   50   500    550\n",
       "1400       0   30   500    530\n",
       "1403       0    0   200    200\n",
       "1405       3   50   500    553\n",
       "1409       3   50   500    553\n",
       "1410       0    0   300    300\n",
       "1413       2   20   500    522\n",
       "1416       3   50   500    553\n",
       "1417       2   50   500    552\n",
       "1420       3    0     0      3\n",
       "1425       0    0   500    500\n",
       "1427       3   30   500    533\n",
       "1428       3   30   500    533\n",
       "1432       2    0   500    502\n",
       "1434       2   30   500    532"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flags[flags.TOTAL!=0] # the mask crops all the bins that show no flags"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "that's neat but not very human readable or at least not easy to interpret for a human brain - we need pictures!\n",
    "Let's plot all of the regions that have at least some issue with their chi2:\n",
    "* Those with a very bad chi2 (more than 5 sigma deivation from average) and or kinematic fit issues (v. problematic, because you can get the kinematics right usually even if the SFH is poor so those bad kinematics are a bad sign). \n",
    "* Those with chi2 deviation of 3 sigma but not more. Those are bad fits, but not awful. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Flags==3 over chi2 map')"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/A/VdAsCvCyH+LkD/SoYQYhvU79emHM8J/wRgFMCrpZS3Z1z/dwG83/rnm4UQT0B5Mz5ulX/IVTZilX2nteu9Qoh/llIu+FzTgPoOPwngDr/XDq3+8Q6oZ80ogI8KIb6e56tG/wBlXHprphu+EOJGKIPOZqh+/0khxJW5Xn3MB07US8+L83R1/ZtCJ5NSytNQHS2ozCyAd1sTK9vt5AVQA0YmL4B61wJQHf1lVvTzzDq/L4R4CZTbR1OOZtruzitQky7fH4G1YvsN679ApJR3QbkSvxPAi6Eeyl8KNRACysXsbwH8tRDiNqgf639nvisbBiHEcaSvVmRyHmpg+WFAmXyvpSPd+v4lqMlQ2rtLUspZIcQboCaeL7N2/70Q4qvuBzop5aIQwnY5A5Sw/FFAE26BMkQAytrr95neBeUWDKj3cV7h9xBp9b/fEMqd+Y1QDy5vg7KwBqEDEH6TWumTKi9P/gZO3vvTAK6XUl7wK2g9lOYTJb0ZajX5OZl92/q+/kmo9+fsSfOrodyxys2fw1kNm4eTlaCUNAF4qZTSI+5Syi8IIZ4H4K3Wrg9CTVCeJ6V83Kf8B4SKGfA8qO/+lVCTZg9Syt8IapT1cHerEGIJauUjBtXnfF8P8flMfyil9KxqSCmPWZ/pEah+NAjgd6AmVKQ+oG4rSqnbvxlwrBBOQ61m+dFVhuv9EGqykROhMsAEuQ8/BeAXpZSPFtsoy5jzJ65d75dSenRdSjkqhBBQq9pXQz3v/w3SJ2iQUp4WQvwYqi81QcWcCdLAV8KZzN6RxRD6/8F5lviQlNJ3NV9KeUEI8UtQK53PgVrlfQXUhCcbESiPjudJKZ/yqbPQ54R/hrNCfh+AZwf0/1E4E80gmqHuv8hcyJFSJiyvr5ugvh8NahEq1zNSKfgA0r1BfV9xLBIT6jvyLA5JKf+vEOKFULoftdpzEcDN1mub7rJJIcS7oYxD+6AWnl4CZTzPrHcVKg5AVqz+8Q+u5+0eqLnEv+bxmZoA/LKU0tM/pZR3WN5290N974esev8zs2xY6Ppeeq6GEoxc/63PVkGJ+bhr+3lZyrzFtf15P7G3kVLeh/xceW1L6mKelqq8kVLGpZRfk1K+Auqh+degBkN7QqvDeffnghDiViHEs60ViFLyHwD2lmKSbmEHjQOUm9Q7sgUYsfb/JpwVkt1QnzkT96r4a3LcA/f7Op/NvLb1/o+dA3YFwNv8JukZvAfO95KPW92XS7nyLITYDCV+Nm/LNkkvgD/M0bfdA/Q1WUuVCKEC+73TtetvpJSZgYxKgfSbpLv4XMa//81vkp6lfCnu05fhvB6SbczL5BSclX0P1oOZe8XuLWUYT8jaQd1WlE23G5Qk1MrdwVJM0i1eAzVZAVRAt6wGQ2tS4s7b/myhgnpm4n5OyPXervu4n9fdeleZUeQwlFoG1ve6duXznPBhv0l6oQghroUKQAao55U3lrD/vzNzkm5jPWO5f+uVeE54I1SMCZs/KsK4EcS/+U3SXWQ+J/x15iTdxuoj7ol5Ke5TPmNsJj/2m6TbWJ/3I65dv1pIwzLhinqNY02eroWKJDkItcrq/l7dEUaPZKnmJtd2ziBaVpk35ShzBiqYTa8Q4lVBnbsYpJTTUO+p/rtQkTFfZ/1ni1EH1IruGwEMCyE+DeCTUsonvbX58ik4D2ctUO9cXwsV4OItUCsxfyCl/FTxnybN0v0NmSPCtJTynBDiW3ACwDwb3lyYt0Gt+m+Eesf3mfBZ2bVWcF7u2uXXD66CYyW/LdugmtHGEcutaT+Ay4QQ3TLY/f3zueoMiW2xBZQro8fdvUCWkdsK/YBre0eJruuLUBkCPg/HSv4TlM8y/+Ucxx8JWd79ALszaykXQgUpOgp1X+3gRG5s49AhIYSeh0Hps9keplx8GspDIAI1DuyDCvhISCgaQbdlaTJY5HutIagVybXiI3DG3naoAFbXQH2P7wHwSiHEb5dIf9zPCZ+TObKqSCnvEUI8Aued5GcjPY4KoLz3/hlqHL1RCLHd8gBJw3rGsuMmrMJnVRNKc23Pjf+W+eWMvxvqdap2qAjuuSj1c8ILXdu3SSmPZS0ZjpNSBewLopLPCVdBxZqw+ZyU8rNlutyaPidYK+ZXQo2fW6CeE7IF1DySqz6LfIydn4DyPAWAq4UQ7Vnc9POGE/XS8xdSyj8v90WEihD5Hij3uHyjSnvKWSuO7lUCz/s4PtwL9SAcJIxfBPCH1vbnrHdXvwD1fmnOCV4hWGL9V1Dvpl4N5Xbyy3A+3zaoe/Za5DkgSin/InOf9Q7a66FW4DZCvYuyQ0r5viI/wlHX9k/zPOcOOBP1KzIPSikNIcTn4Awcr4O/C/bLoUQSAB7IYgl1R7LcEuIdxB7rrwY1YAZN1O8POFYI17m2by9hvU/K3O8euVPilCQirR9CiH4o11j7930W6nWMnOnOCiTXylDmO61BVnVABUGyCbxP1mrAe5Ae7CeIGNS7j7neJ78zV0VSyimhUhfa0YmPghP1eoG6rai4btcDfq7dlvH7N6E8cfYA+LoQ4s1SymJfRyr0OcGeqPs9J0wLIb4OFaRXg3pG8gs++Fo4/efr0j9Oh/s54XABsQp6c0xu4vBO8orF/ZzwgxLWm087K/WcsBNqccF2738YahwqF2GeE2byeKUor+cE693/d0C9nrYlW7kM8h2Lcz4nQH3ndmyoCFQmnHzOywon6jWIUAGvvo/8rUA2fvk73WK/KPPITy6lnBMqf3hPQLG/gorkfB3UwP7z1n8QQjwN5ap+G4D/kVLOZamjYKRKF3KvUOmz/gMldCmy3oP5D8tK/ROoycBfCCG+H+R+mAfu78Jjzc7CkGs722DzaTgT9VcIIX5LuoLOWOSM4gq1imhz2PovLLlSrZXaVXuDa/tkCevNFRQPUsq4cLJ5lWWsFSp43DfgxA2YAPACKeXZclzPIvCzW+/e5V0egHsl29fi7QqclWtF0I9O5J6o58y77ipnT9Qr5QZN6gDqdmNhTTT/3rpv/w31St5HhQr8WowWlfM54Res7aCJuru8H+7nhGcgvxXyTHqhVtj9mMrD+yksa/acgPQAj2VJNyyE2AiVrnfQ2nUSwAtlifN9ZxBG9/O5T/k8JzRD5bd/vt/xAPzGWD9yPidIKU0hxFmo9HJACZ4T+I56bfIROGK/CpXq4mVQq0ydAKJSSs1yPXO7iPh93x2u7TBB1wLf37FE6iaoKMpDGYf3QgV8+AyAUSHE34sS5pAUQmwQQvwfoXJmPwLvJL3o9CiAcimD4wqjQVnwisH9XeTrKuMu5zvYSCkfgLOq2QsViCOFEGIAzvvtSagUPH5059mmIAInrLnc+ArAfU9K+c6lb+yASiJU5GUJp3/PAXhRCd32shHqs2eLsxCSX0X6JP1bUK+zHILq0832mGeNe+4H2Hx0Lt+xL+fvjZAsULcbECnlV6CMG4BazQwMipkHZXlOgEpxaRt8DggVBT2FEOIKOAbhKau8H+V+Tij1MwJQ388J/VCTdDso8nmoIG8leQ7ORkjdL9V9+jM4k3QTyhvolVD9thtAU8Zzgk2+r82syXMCV9RrDMvlzU6hZUBZxYJcdXJ1Eveg1BaiKe25Clirtu8XQvxfqNXXZ0G93/RMOLkO26AeCp4lhHh2oRM1K7r4z0O5dt8CbwTWWaj3sD4JtSpQKr4LJ6jPjUEF88D9XeS8vz7lglY4Pg0V8RVQVvGvuI69Cs5YcFvAu/HuwedDfu5+VYj7nnRkLVVjWO+4/hfU+4aAenj5OcuTpB55t2v7z6RK2RhEWHHMd+zL9/dGSIpG1O0CXJ5zURPp2bLwXQDPtbZL8ZxgT4ZL9pwgpVwVQnwJTn7y1yL9/Wn3avqXAgKQuZ8T3iWl/GCebVxL6vU5oQsqbtFBa9c41CQ9n5SlNYW1mu5Of/grUsqs75QLIQqZQLchP90v6XMCJ+q1x3PgWH++mUPsAWB7juPjru02IURvlveOUljutj056k1hWdYesv77Z6uOo1A/KnuV7Fqo97nySXlhtyMCJX6vg5qkZw6wSaj8kJ8A8NUyrNYC6S61/VlL5Yfb7XtbnufscG2PZysEtQry11B956UZQd3cUVyDguK5o6UPZi1VXbjbnFegsmrH6vefhUpRCCjXuVfI0mUfqCqEEFuhVvMAYBqOwSlb+S7kfsUik23I733Cra7toN8bIW4aUbcbJj1bHpT6OcGeqG8DcE8e5+xwbQeNW5+GM1F/tRDi9604NzpUilEbPidUOVaMhG9ABVQDlHv5CyvgcbdWXANnDvBY0CTdItcY68c25Ii5Y72mt9m1q+jnBLq+1x7u93/yebB8VtBB611Wd0e6No86r0KREVallA9IKd8M5f5nI7KVdyOEuEII8QGooFnfhgrs5p6kPwrg9wFslVK+UEqZMzJqEWx0bed8TzAHbuv1DVlLpeMulzW6qJTyDJwgcs2w8nsLIfbAcZ1eQPpKeybugEU31Eh6qrtc28/OWqpGsB6YboWTnz0J4DVSyqB8xrWOe8x7Io8gfs9A+PHpulwFhBA9cN47AwJ+b4Rk0PC63eDUxHMCVNA5e7V1ExzNfA6cz3DKKpcN93NCsd4DlcL9nPCcrKVqBNdrcfb9XwTwEillqYP1VhMlHWOzkPM5AcBlcDyiklCGzqLginrt4U4zFOjyZrmDvyGPOn8IJ6/ia6He/wwiV57NMEgAb7W2N2QrZKWfeq117f0+RcagVhk/mUc6jFLyUtd2UK7ofPg+lDshoNK+DQRF2hVCbALwoozzg/g0nJQ+r4MKzuX+Lr+aI43EHVArmj1Q0TR/Dur7q2a+CxWEJApgrxDiBVLKzBR2tcRH4XxnJoA3SylzpTWpdfIe8yzeXsA1Xi2E+PMckfJfC+eVmvPwpjgiJBsNp9sNlp4tF6V+Tvgla/uXhRDvCUqBZqXkcgd+zerNYQXC+iycvOavg3q/3t13Ppvj/eNvw9HcG4QQl0spi56slJlvAvhza/u5Qoj9Uspiv6c1wfVanG1wWAHwsiIDHdcCYcZYHcCvFXAN+7k5CPfYfW+xqdkArqjXIu6IlC+23GCz8X8RMPl18Z+u7dcIIbJajayAIm8MqkwI0Wy52eWD25XUd1IqhPgRlBX3/0P6JH0FakASADZJKd9ZzCRdCBEVQuQdCEUI8WI4D0qw2lIM34FjzW4G8I8B19ag3BHt6JcnoNz8g/gSVP5vQL1buAXp750F5oK33klzt+lfrHcv80IIkU9fLClSyhGogCI2/7YW7SgFlhfJr7p2/WYe7l31wCk4wWYuE0LsylbQSif10mzHA9iNgGCQVp/5U9eu/yhRkDzSGDScbtcrQoh2a8Uy3/Jvh/JmsCn2OeGzcGIUbET21wHsVLL/7Nr1AyllLgOj+zngF6xsBb+Q5bgHK82WHRFeg0pfm1faMSGELoSoeDYNKzCwPZG121xz76r7vBaXAPBKKWWuZ8N6wD3G3pTjWf73AFxewDVuFkK8IttBIcR+AL/l2vX/spUNAyfqtcf34UQe3APgE5ZLZgohRJeVluxtyC8q6Deh0owBqk/8jxDieZmFhBA3Q73zEoGKWpuNjQDOCCHeb1lzfRFC3ALAnaf8m1mKPhPp1vK7oCKnbpRSvkJK+T8lStfRAeCUEOIvhRD7shUSQvQKIf4YKuWK3a7jAP69mItLKQ04OWwBtcr375mCYQXB+DjSxfP3rfOD6p8B8L/WP3WoSfce69+jyD3RB9RDpP2OzmYA9wkhfsmyUHoQQqwTQvyaEOJncLwFKs0fwXE33A7gTiHEC/wKCiF6rPb+fcValwdCiL9A+kTy96WU/7pW7akkUspxOK6JOoAvZ/4+rQe834R6iEzCMUjlyyqAv7OyRaT1ZUt8vwtgwNp1AUAtBEgi1UMj6na9shfAcSHE71nxM3wRQgwKIT4IFe3f5sdSyv/Ndk4+WCm13ufa9YdCiPdZk3L39TcA+Bocd90ElBbmqv9JAPdZ/+yCeq6xXXnvy2OiD6gVeTuq+GEA9wghsqbMEkJsEUL8DpSX0qvyqL8cvANq8QdQhpUfCSF8Xymxvtt3CyHW6pnGg3BSmNoTSQPA66WU1e71WCoeAGDnYu8G8CXL6zSFZYz8SwB/i/wzJrhZhTLivDrzgBDieihvEtuI9xhyGLXyha7vNYaUckoI8X44qzuvBfAiIcTdUJ10I1Qe1Haogfk3oIKpBdVpCiHeDOBOqEAn6wB8VwjxEIAHrWKXw0kt834o1ys7GIPfBLEHwO8C+F0hxCScH9Ey1APvYQDulbGnEBy45TSUlfaTUsqngj5PkfQC+BMAfyKEGAHwMNSKwSLURH4PgCsAuEVxFIAIiIKaN1LKLwohngUnMM5bAbxKCPEDqAnCAFQAPffk/R+llP+d5yU+DWcgd3sDfC6H26/dvnkhhICa1O+EChbzRQDjQoi7oO6FBqAPKt/0XjgGwVyu+WVBSnlGCPFKAF+Fum87AXxLCHEaKhDPpLX/Eqg+HoN6wKkKLM8N92ruBQDbRf5Rlf80nzzLVc6fQHmc6ACOAnhECHEHlBW9A8qYZ79D+V4ot7YwwWJ+H8pw9Y8A3i2E+AnUqtUlUO+82304AfW6Qa3fT1JBGli365XNAP4eKk/6EFRcnHGoiV4XVCyLw0jPPlPKSej7ocaln7P+/ccA3m49J0xBeTw8G8ozz+b3pJR3Iz8+DccLwP2ckNfEQ0o5IoR4GZSBaB2AfQC+LYQ4B6W5Y1A6uw7qnd41D+AmpfyZEOItUDFgolA6c5cQ4kmo38EM1ATwAFSbdVRX33870r1mTgB4hhAirzz2Usrfyl2qerGCHv4JHE+jWwA8JYT4KdT8oR9qjLUDzf4aVJDlMNjPCZ+1Fk/uhgrmexmAq13l5gG80cqgUTScqNcmfwkVxdN+F6IP6e8qA+pd4jfBEexApJRPCyGeCxVMzB40L4fXPeRjAN4D4DWufbMZZeJQgmWLRB+c1CR+3A7g1QHvcjwHwO0VcDU14LxbBajgFJuyFwegVtXfYbl7lQQp5W8JIUahxLcZyprtF7BnGcBfSikDo2Bn8A2oiWlfxv5P+5TN1r6T1orLR6Em/RqU4Aa5HE8jvwAfZUFKeZslWJ+A06e3I/tkrpS5VItlIOPfGxAuwvH7UXwAozXF+v5+E8qNMwr1kHez9Z+NAeCvoKLCh33/7GtQY9Y/QcVf+GWfMtNQk/R6DtxHykej6Xa9Eocaa2zj3Q6kR1XPxIBa6fyDXJH588WalPwClGfP26EMAv1wjPBuZgC8U0p5a4hLfA7Ke85taEgA+HyINt5rPSf8B5x+tBkqQ082LgB4OkQ7S4qU8jNCiPNQLsv272mf9Z8f1fycsBdOtpR8qOmJOgBIKT8uVIDk91i72qEm7G6WoX4PnxVChJqoSyn/Sai89H+M7Pd3BOp1g5IF7qPrew0ipUxKKd8IZU39H6gV37j19z6o1aeDUsqvhqz3ISjL0O9CuZpOQnXqU1Dv+T5PSvnrVtRl2yplIEPwrUlrP9Tk8h+gVlKHoXI9J6EeRh6CGgxvkVI+W2bP3Q0p5Q8q8T6o5VLWD2VB/gBU0JXTUKvpSajPeRpqsvtnAPZKKX+xlJN0V1v+Ckoc/grAvVDW+oT19x4o17d9ISfpsL67L2Tsfjzsu/1Sykkp5SuhVg3+GsBPoVzdVqH6zCiUW+aHoPrBRill4ApRubH691GoVwY+CfVAMAv13U4BuB/Av0K935VPMCdSQaSUH4XyZvk4gCGovjYD4BiADwO4Skr5Z4WOFa76PwzgCaiHsHmo1bK/AXBAShmUFYGQrDSabtcrUsrHoDzJXgvl1v5jOF4H9n06AeXB9XsAtkkpf61Uk3RXOxJSyt+GMsp8AOq7mYTqUxesdv0RgN0hJ+mwgth+J2P3d4OC22ap57SU8nlQUec/CKWxdr9fgsrc8wOo/nYLgC1rHexVSvl9qGevN0B5C56E0oE41PPXXVCf5VlSyj9eq3YSf6SU74XysPsC1O9yFcAE1O/j7wAcllL+WxH1/ylUf/441Cuvi1DPIfdDefMdKHXgPs00GQ+HhEMIsRfK5Q1Q6ZL8orATQkjVYrms2h4VO6WKHE1IXULdJoSQcAghUpNkWcFMFm64ok4Kwf2e1b1r1gpCCCGE5AN1mxBCagxO1EkohBA7Abzbteuza9UWQgghhARD3SaEkNqEweRICiHEd6DedfqeX7ozIcRLoILS2PkJH4T3PSZCCCGEVADqNiGE1C+cqBM3t1j/TVl5r89ABWJYB+AaqGjINnMA3pArdzchhBBCygZ1mxBC6hRO1IkfvQhOy/I0gF+SUq5Zui1CCCGEpKBuE0JIncGJOnFzGYCXQ6Ue2A5lke+DSjsyBpUW7H8BfF5KmVyjNhJCCCFEQd0mhJA6henZCCGEEEIIIYSQKoJR3wkhhBBCCCGEkCqCE3VCCCGEEEIIIaSK4DvqORBCaADarH8uSin5rgAhhBBSR1DrCSGEVBtcUc9NG4B567+2HGUJIYQQUntQ6wkhhFQVXFEPwbve/fr5qYX/RjS21i1RJM3EWjfBw3x8eq2bkGKwbUfZ6o7HTTz80CoOX96EWExL7Y9UKjvt6mKFLgQ8MP9oRa5zdN11FbnO2PJIyetMJIATj7Vh98FFbGzuK3n9buLRyg3bsfhqxa6VN3Pja92CvNDWv1nLXYpUIx/7+Gvnf3rXV7H/kFEVek+tD6acWg/46z21vnBqWesBR++vPdyMWLR8wzy1nloPcEWdEEIIIYQQQgipKriiHoL9hw1EY5G1bgapAmIxDUevaIKuc9GMANEosPfQInSaPgmpeSIx4OARg79nAoB6T9Kx9T4WbVnrppAGgDIUAoo2cUPRJm44PhBSP/D3TNxQ74kbjg+kUrCrEUIIIYQQQgghVQQn6iE4d1qDUakAIqSqMQwTp04mYBjM4EMAwwDODzdxfCCkDjAM4MwQ9Z4oqPfEjaP37A+k/HCiHoLJCQ2J+Fq3glQD8TgwPp5EnP2BAEgmNMxMRJFM0D2SkFonGQcmx6n3REG9J25svWd/IJWAE3VCCCGEEEIIIaSK4ESdEEIIIYQQQgipIjhRJ4QQQgghhBBCqghO1EOg60zJQBR2X2B/IACg6SY0Xf0lhNQ2HN+JG/YH4sbWez2y1i0hjUB0rRtQS+w/bCAa4y+TALGYhqNXNDVEbtXL+q8CADw6cd8at6Q4Ts0d8+zriPWUpO5oFNh7aJEPcoTUAZEYcPCIwd8zAdA4ek+tzw9b72PRlpLVSUg2KEMhoGgTN/Uu2iQcHB8IqR/4eyZuqPfEDccHUim4ol7DRDTn60uaiTVsiYPbajkfn16zdpDiiDd7LcW2td1NsZZ3d51xVx+OaaUZmvws627cfbSUFndCCCkV1HpSLqj1hFQ3tAmF4NxpDYax1q0g1YBhmDh1MgHD4DvJBDAM4PxwE8cHQuoAwwDODFHviYJ6T9w4es/+QMoPJ+ohmJzQkIivdStINRCPA+PjScTZHwiAZELDzEQUyQTdIwmpdZJxYHKcek8U1HvixtZ79gdSCej6TggpGD8XOcDfTS5bWT9s17hC3eJyucH5YbvGFeoW16TF0K83F3QuIYQQUq1Q6x369R6c0ehuQyoDV9QJIYQQQgghhJAqghN1QgghhBBCCCGkiqDrewh0nSkZqpHBth0Vv6bdF+qpP/hFfy2UMK5vQYSJDluIC5wfuaLDLiXnPfuSpoZlxDCSnMJObC1JOwgha0M9ju/1wFpoPVB//YFaryhE6wFgPrmAZfRCj7SXpB2EBMGJegj2HzYQjUXWuhmkCojFNBy9oom5VQkAIBI1sf3gZN08yBHSyERiwMEjBn/PBAD1nqRj630s2rHWTSENACfqIaBorz2Vsqg/OHZXQedd2X9diVviYmk6/7KRprI1Y60oR+7VXGSzqPthjw/Dq8OpfduatpWkHfEoh2pCKgn1fm2h1ucJtb4khNF6QI0P1HpSCShFhBBCCCGEEEJIFcGJegjOndZgMCMDAWAaGubPr4Np0BWOAIYBjJ1p5/hASB1gGMCZIeo9UVDviRvqPakk9LEIweSEhq07gCamSk6js6kv7/3nF06Grr/cLnCFuL4ZyQhWZjrQum4aEd1x07p/QtVVUre4MG5wNslV7z6Xi9xCzHu4lhzoHpq4O/B4V1NnwXVH9PDDYjKhY26yGT0blqA3OepdDte4chNLup4+/O6FkfDuKzdz45W/JmlYknFgclzDho0m9d5FI2o94K/31PrKUG1aD/jrPbW+RFDrPXBFnRBCCCGEEEIIqSK4ol4nRKyAG0mzchawbNb1IDa27/Lsc1veqz2ATL4smctFnd+6XNz5fvhZ1t2sGv7XbNJLl8qlGI5N3p932dnVOQDFWdtLTlNbwae6v7q44bOCUiRplvVcVIvlnZAGhFofDmq9F2p9maHWkxLCFXVCCCGEEEIIIaSK4EQ9BLrOlC1EoWkGoJvqL2l4dN2Epqu/hJDaxtZ66j0BqPckHeo9qSR0fQ/B/sMGorHIWjdjTSnEBS4Xbhc506wNIdSjBvr2DEMr00C91OK4oJXDNS4MtptcLre4ufhk4PHOWOn7Ti5stzggt2tcoYFlACASNbH94GRFHuxjuhMKqFjXuFBucEG47x1d40iNE4kBB48YDT1Rp9Y7lFPvqfWloVJaD1RO76n1BOCKeigaWbSJl3JN0kltwvGBkPqBv2fihnpP3HB8IJWCXY0QQgghhBBCCKki6PoegnOnNezcW52WtKjlIhPNkSFzJblYUP3lcIOrZUxDw8KFfrRvmGgYS7s7Umwh/cjtLpeva1yY6K+5ODt/Ma9y27s2ha7bMICJc+3o37xQ0fFhcmU09DkbogNlaIkL2zUul1tcNESE4d4tzvbU2fBtIiQEhgGcGdKweZtZdXpPra88jab31Ppg1kLvqfWNS5VJUHUzOaEhEV/rVpBqwEhGsDLTASPZ2DELiCKZ0DE32YxkgkMqIbVOMg5MjlPviYJ6T9xQ70kl4Yp6DRPVgy3qfjRHgvM7uq2ntKyH50DfkbVuQk1gW9zXIuhMLk7PjqS2C7W422zruLTY5pScCwlntaGsFnd30Jkig/ekYVvcaW0nDQK1vvqg1ucHtX7toNbXBzQHEUIIIYQQQgghVQQn6oQQQgghhBBCSBVB1/cQ6PraB5IrxAUuDLnc5WqdobljAICelq7Uvunl2dD1aJoB6Kb6SwrmZ2N35V22JRILXf/s6lLocwpB101ouvpbbi4sDZf9GiWhlC5wfpQ76EyE8tio2Fq/lnpPrS+OUmk9QL0vBfWi9UDl9J5ab9HgWl/drasy9h82EI0xmAgB9KiBvj3DDREBluQmEjWx/eDkmhvyCCHFE4kBB48Y/D0TANR7kg71nlQSdrMQ8EdJ3FC0iRuOD4TUD/w9EzfUe+KG4wOpFFxRrxHK7QZXLWiaM/qZZmnczGwXuGy4XeNscrnI7eq+xHf/shVJt6WEboXntGnPvs1mT97nj+jqs3RjXUHXb412ePYVmqO3GJaTTq6kQlzjCqGQqLDVGP217nG7xs2GzzdLSLVArS8caj21vlCo9TVCA2o9bUIhOHdag8FXlAgAwwDOnY6wPxAAqj+MnWlnfyCkDjAM4MwQ9Z4oqPfEjaP39LIg5Ycr6iGYnNCwdQfQ1FyZ6zWKZb1c5LKuB+G2vPc1D3qOr64A0xMRrB9M+vaHZZcVuhCL++RKsKXQz/LuXqHwY2Z13Hd/d5OyvvtZ07PR06xyck6vXMxR0p+np58q6Dwb2+K+pSPY8j27WrpgLEF5YFdXgKXpJrRubsaU6570Npcxd2m1Uu7AMoSUmWQcmBzXsGGjWRG9p9YXRzm1HgAS8ex6T60Ppt60HnD0fmx+LNUfqPWkXHBFnRBCCCGEEEIIqSI4USeEEEIIIYQQQqoI+i1UGdXkAreaXE5tN0VaKnLN+fh04PH2qDcYjJtiXODKRRjXuFxucOUgjBtcJj0ud69CXeMKIZcbnM2u7m2p7ZMz4V3jLuu/LPQ5bkrlBl+ufKoXEqp9G6IN6LZHyBpCrZ8OPE6tLz3U+uxQ60m1whX1EOg6UzIQhR4BNF39JYT9gZD6wdZ66j0BOL6TdNgfSCXhinoI9h82EI3xl0mAaBS49PAqH+QIAPYHQuqJSAw4eMTg75kA4PhO0mF/IJWEE/UQtMba0FzmnI5JM1HW+quRXC5wbhYS3pynY0tnS9ia/ClkkF5eg5ykleLM3Km1bkIgtmtcNre4rZ3+EX/zpaFFm9FfSR3RHGlDS4xaX2pqVeuB8OM7tX7tKLfWAw2s99T6itOoXY0QQgghhBBCCKlKaBoJwemhBPZeEoWua2W7RkRzvpJqsrjPrU4CADqbgvNL5iKMRT1f1rduSW1XyuJuGMD5MxFs3JosqWW1zQqgs+izmlCNPDJ+d0HntVieKXaO1EpSCmt6Jvn0h0KCH+3oPFBky4LZ0Lotd6EgktUzRhFSKgzDxNCpBLZtj5RN76n14VkLrQfKo/fU+vJTDq0HcvcHaj0pJVxRD8HEuIl45ccaUoUk4sD0RAQJ9gcC9gdC6ol4HBgfo94TBcd34ob9gVQSTtQJIYQQQgghhJAqgq7vJCsrPsFQbLe4bPi5y5XDBa7cTC7P+G7bbGvZV9brt7lyyJbbNe6hsbsAAJevv66s1/HjYN/hgs6bWR0PfU7cWC3qOt1N64o6vxDuOP+D0Ofs6dkdeLxoFzg3EUtC6BZHSM1Crfdu2+zpptaXAmp9MNR6kg2uqBNCCCGEEEIIIVVEyVbUhRC7AFwF4Grr75UAOq3Db5JS3ppHHYcBvBjAMwEcBDAIwARwAcA9AD4lpfyfHHXcCuCNeTT5MSnlZXmUS6HrDZySgaShRwBNV38JYX8gjUIjaT31ngAc30k67A+kkpTS9f1EMScLIT4A4HeyHN5u/fdLQojvAHillNLro1RmDh+JIhYrX8T3TNYiKqyfC1wY/NzlNK28TzuLccddrN3lRuaHX25WN36ub34MLTyJ2HYNQwtm2V3j/OhpHgg8nssN68LCqGef7RaXiZ+bnF1W1yr3e6hmolHg0sOrVfFgf3zaOxTfuPHZa9CSCjLr7c+kbNS91sdiGo5cUd4ML26o9fmxFlp/fOZJAEBsu4Zo9JK8zikl1Prqo1r0nlrfGJSjm00C+C6AL4Y8zx51jwF4D4AbAGwEsAHK8n6Hdfz5AL4mhMg1agxDWfmz/Xd1yPZVTLRJbaDp5lo3gVQRay3ahFSYutV6gHpP0qHeEzfUe1IpSrmi/ioA90kpTwKAEOJmAK8Mcf4DAF4opfy2z7FvCiG+C+CbAJ4H4CYALwfwlYD6TCnlfIjrkwbAzwp/Zv5MUXXaFncAmF9dDix7ZP3loeu3g800RVryPscvGMpTU4+GvjaQ3foOAIbpPLyEsbjv7t5fUFts7M/32OTDoc/d0BY+UAwAPDX9hGffJT2XevYVG1SmJom4pITBZuodaj2peqj14aHWK6j1AVDrK07JJupSyrBW9czzP5LjeEII8YcA7rN2vRTB4l1yTg8lsPeSyrnDkerFNDQsXuhH24YJWtoJDAM4fyaCjVuTa90UQspKI2i9YZgYOpXAtu0R6j2h3pM0bL1v28CVdVJ+aq2Luc2Emyt98YlxE/F4pa9KqhEjGcHKTCeMJKOJECARB6YnIkhwfCCkFKyp1sfjwPgY9Z4oqPfEja33RqLWplCkFqm1POobXNt5JZy03m+LSilrWnLtYDPlCjRTbGCZtcAdWKYYLl/nvML40Pi9oc/P5QLn5sGxhwCEc4sL4wa3luRyjWuPtVayOSXhwmKwa5vtImfEo5iPb8PJ2WFs7O6pQMsIqWuo9dT6FNWi9Qury9Dz/F6o9bVFvloPOHpPSCWotYm6+z24O7KWUgwIIR4DsA9ARAgxC+B+AF8G8HEp5VKZ2kgIIYSQwqHWE0IIaXhqxm9DCDEAFSEWAKYBfCrHKa0ADgCwfZW6ADwbwEcAPCSECJVXlRBCCCHlhVpPCCGEKGpiRV0IEQXwBQC91q4/lFJ6k3gqLgB4P4BvQ+V7HYES8isA/BaAnwewF8B3hBBXSSlH8m3HJ279Cj7/eR22p49m/e8fP/RqAEA8bsIw0s+JxdLTvBRbxnaLi8dNxDMiLmbWk4ibSAZcayW5iEQCMDLiX0Vj6QEyii1jmkaqjGnovmWcNsPz2bOViSeczxqJmmllkgnNU0+2Miua48Z1qO8qzz18ePxBmCaAJQ0wAW0VME0NMExgCTCjEfVvF1okmRZ0xkxGYBpOmdUV53P1WnlS1feeHqgmFtOwZMwVdH8yy7gxErqnzXrESGtzMWXaWxzXt2RCg2noSKw6Zc4bQ9B0YLBtR0Gf6/GpxwAAkajmaQ/M9D6W+V0MT1/09EN3maZI1FVPNGs97mupbROmaWJu1XHTbNO70753ANCjhqcf5ipjJHUgoM35lsnWx7zjT6nKIKNMacfDVJkEYGTcw1jG772SZUhhVIvWv/ePvoxEHGhq1qBp1PpG0no3ujV+apqle6YGI57+2EytbyytT/0bBhYSs9ChGkqtR0aZxtD6eAJoQnmpiYk6gH8BcLO1/Xkp5b9lKyil/AOf3SsAvg/g+1Y02b+Bytv6lwDeGqYhqytOh41ENMSsb8gwTDzyUMLTydat17BjZ7QsZZIZhfrXadi+U0uVefRhw1NPehngyUeinjK9/Sa27EiWpUzmINW7zsSWHUaqzBOPRGBm1pOlTNLsSJXp6otjcNtyqszJY+2ea2UrE9Odp47+9Rp27Iyk7uEjDyUxs7wVxr3dMKfV/Y8+GEXz15vRHDWxjG1Yft8MzGun064V7ZpB08AoABUxdvn0rjTBeHq0CT39SWzenkxd68EHlz0D4vr1UWywXoUyDODYI/Dcn751wNYducugG6n2TJ7Y4hHdlu55dG6cKEmZru1LVhlg5MkBz3fR3ruE/i0zqTY//oju6T9960xs3WH6lpmLbwcANHfPoW1wLNWe2ZPbYGaId2aZhaGdHpGLds2gZcPFUPX4lVmZ7ENn20yqzNmn+jwDfWffMtZtmU99rrNPBJcxDQ0Lp3Z4Hjhi3bNodbU5V5mgPrZrV1Ppyzy86vlO16+LYJdrHCtZmafakNEcrO9JYNfmVasMKlaGFEVVaH181YSmaSm9p9Y3jta7ae6eQ/vGcehRA927hjFx3DvGUusbU+ubuuagR41UGWo90ss0gNbbZa4ZQFnRTNPMXaoArNyqP7D++SYp5a0F1vM3AP7Q+ud3AAgp5UqRbbsXwFUA5gD0BwWfEUK0A5gHgP+49a1oaXHMlWWzGOVZJtOaGLae+fh0Razs7jKltLIvJRzrc1gre1/LYM5VCHUtE/F54Gd7HKuxtqBBc1n4zVYTyR/9GGg1gJYkoOW2sj9j002hLZcLidmCrOynZp6AHvWxjlvtMaD2l9LK3uVjZXcTiSahZXxf65u3B36uhy4+EmhF1jUtLyv7yqoRaGUHADOpwzR0NEXyt7K3RmKB99mmq63d18q+vtV5SMzsh/eev7cgK/v6jlZoOrCv5yoAa2Fl9yljJjPKIKOMzzimRTLKBFxr+rwqs8Yr6lrfGxoirxe1vvxlqPWV0Xp3mdjt30EMceiuVfgf7O/3jOfUemq9XYZan1GmAbQ+ngCaBsqr9VW9oi6E+GM4wv1DAC8vVrgtvgYl3p1QrnHH8jmpuVlDc3P27yMWy/1dlbKMX7TNsPVEo8jZC0pZJkeTPW5bQWUSAflMI1ETuRKpRGNazh9ANKYBMUCfye7Xqi1piF79LACAedUUzP+6x/KVdJWJJOEef5qbvfWp7yv4BoW5PzaRJm9ub9sSDABaFmOdu0w28ikTiZoAgvOLR6ImmppzXCtiAJHg66n2BJfRIga0HPXYZfSATpR5rUjU+5363Z/MCZ26P2bg2JLXZ/cpo2VcK58+VvYyycwywcRiGhAJ9itPu1aTf3+ORQEg2DBdqjIkHNT64DLU+spovbtMTPN6yGTquB/Uemp9ah+1PqNMMLWo9bEKzKKr9q06IcTvAXif9c87ALykhNFbL7i2e/I96fRQwmM1IvWP4ZPNxoyaWHnJCsxoen/Q7usFlphrtdEwDQ0zI30eizohJJhq1HrDMDF0inpPFIap4WRyO8d3AoB6TypLVa6oCyHeAeDvrX/eDeBFUsqFEl5io2t7Kt+TJsZN7NgJNOewBpYTPdNsVgQdsZ7U9nx8umT1BmFmvlAFQCvhZyolpqkm6X5pZ812E4kjCcR+EoM2kzFYT0SBRR1oMYBlXbnEW0Vu3vucnCsNpeD49GN5l7VXazqa2gPLza7MBx7vbGrL+5p+zKx685gOz53L+/xcuV1XMwIylRIzGcHSdAc61s34rmq4cQeb29tzOK/6rxy4NrV9/8W7U9vrWjvzOv/J6ftS27Zr3JoR8ZEd93fjdzwMvVvU36mzxdVDyk61an08DoyPmdi4ae30nlpfPcQRw7jRjxseO49ma6X99st6As959pZbKtAyan2ltR5Qbu756D21nlpfCqpuoi6EeBuAf7L+eT+AF0op5wJOCVu/BhUNFlDvrR0vVd2kfjBN4LFnNWPuzvCr4/qNN2c99uCNJo78yKzIZJ0QQqoVaj0hhBASTFVN1IUQb4SK+goADwF4vpRyOsT5gwDGpJRBS1p/CuCItf35oOAy1UQprevVhp/lHQC6Iz2B53U1dwEARlf8rWlz8cms57qPbe884DluLKKgSXouZu/QYCyaiAQbtKuSrmYn8u6xiWGfEs493d+3Ja86W6Mdgce3dW5ObRdicd/bsze17/HJJ/I+P1/aoiryadKIIHgNonTka1nPRlVZ3G2Ktaz70evqg3Vuca81qPXZodZ7KafWu4nd/q3A425uPp7j7Yz8JLAqodZ7sbUeAJIVSvBBrc+TOtf6kt0xIcRuAOtdu9wj4m4hxHWuf89KKdOCugghXgHgP6CchJ8G8HIAq0KIbL/upM97bL8M4P8IIT4HFYX2SQCzANoBHAXwmwBeaJU9CyXkpEExTcBc1JHUHTd3rRUwl/zd3QkhpNGh1hNCCCGVoZSmjT8B8MYsx/7Y+s/mh3Bypdr8FpAK3rkXwKkc1/OrAwB2APgj679sPAjgVVLK0RzXSEPXvVEcSW1imsD4Cy9F/J4OhOoEFtqqBsStv6Th0XQTmp6eroWQOqVhtJ56TwBARxI6DOg5IpqTxoB6TypJVbm+l4CvQFnprwNwGYB1AHoBrEJFf70PwJcBfEVKGTraxOEj0bxSDNQidrCZSgWaKSWDzY7by9PzD+d1jrmoI35PsCtWENqShrYPtKXlU8+Xuy/8GDfsembe5RcSs7kLVRmPTyr3o2xucbnc4IrF7QZns7/vUs++XC5y18Z2BB5/xBwBoFKzDFxyLi/hzjeoTCXI9/fuDkZVk9S5a1wDUlatj8U0HLkimpa/t15oNK13Y/7NR4MLXL/D2W5Suc8Sj5+HBuAwxqDBgN2Zogc3Z56Nuy7tdv4x+kNV5eBNebePWh+eSms9kL/eU+vXgDrU+pJN1KWUvwLgV4o4/+YStOE0gA8WW0826lG0G5Us6URDUcgkXbt6WkWBJ3UHreukEWgErQeo9yQdPUfObtJYUO9Jpai3FXVC8sJcqqxPY/ThH0NrM4BWgxHfCSGEEEIIIYFwoh6C00MJ7L2kcu5waxH9dS3yrdYiZtTE6gtW0fTtprxW1rU2Q03ULe603OKAcK5x+RLVvRHrE4b/+3XtsdaSX9/GdosDgFu2PSe1PbE84lc8kMG2/pK0yY3bRW7dYvjcq4e0TQAAwwB+en4ZXYNTVW9p39y+J/Q57rGgXlzjVo3lsl5mjdJvkxJgGCaGTiWwbXukInpPra8OvrjVq5Gv3HIEhqlhaKoXm++4LbWyHr9fRUO//7WHAuuk1teX1gPAw8nzmB3trXq9p9bXh9YzVEoIJsZNxGsiwQvJSUtxbmxmu4nEkQTM9tyDNN3d6594QsPSdAeMBIdUQmqdeBwYH6PeE0U8qWN8oQPxSFPuwqTuMRI69Z5UDK6ok6zEjfySRcb0GhSv5coMsJG77oC+dbUi7u5Ds8HBUtyW92afB45sOW41a7Vnejl8oBu3Zd1Nf4uyThdiba9WutCM/dogzJ7SrwYkXL9Ft5X83MLxkl+r3im3dZ2QWqOutd5F82++MrW98pEveo7f/Ef3efZp//qr0OIaMNEM49deDaNZibn+j/9ZvobmgFq/tuzXBrGCZuzsPoDm5tI+3FHrS0e9aD3NQaThMM3SBJPLB60/wXfSCSGEEEIIIaHgijppKNz50wkhhBBCCCGkGuFEPQTRiIbmSBSxMi6RJtc4BcjUysXQ57jd5op1jeuO9BR1/t4OJ2+lX57VYvOn22irGhC3/gZwdecz0TTg/PvOAnKrzqyOF9TGUuHnBrepvcezb2RhOrWdzQ0uE9stDgCmC+h71YKumzCbmxDvaSl6UE3k6YYKOK5xudziCgkqQ0ij0hyJIhoxyqr31Pqeos7PpfWpcuag7363G7xNz79/2bPvQkcUiQSwGtMQcfmgGu98MwDg+kibb/3U+nTqResBIN7TB7PZSOsPhUCtJ/nAiXoIjh5pRixGP2YCaEsa2j7QljPiu+6v4aTOiEWBw0d15l4mpA6IxTRceUUzf88EABCNAnsOLSBaxqjppHaIxjTqPakYfEc9BPxREjd5pWVjl2kYOD4QUj/w90zc6HxaJi44PpBKwRX1KiPisp2stWtcrRPVvK55xhrPnMuRR7Va8HORKyWtUeeVhaXEfGDZpKnypEa0/Ie4oZiqc0d8beIXhHGDy8Tt7hb1cUktpm5CSOmh1pcOP623OaVNprZ3Gn2B9TS//vmBx92u6RtatwWWpdYXDrU+O9T6xoM2whCcOhWHYVQoXDgpC1qbiebrFoqux4yaWHnJCsxo9v7QdaNJ1/cGwTCA06cMjg+E1AGGYeLkSeo9URgGMDrcDIP2FAI1PlDvSaXginoIxieS2BUHmpvXuiWlp5DAMn6UMthMIZxaCM4vqmnAwDdPID4cwejlBwu+jtluInEkgdhPYtBm0lfprx81EGlX76dXcgG/pzl4teDRieAgJLu7naA7pmuFp6tZWRtmVxYDz1/fti61fXFpGAAwkGPVodCgMn75MXuaBzz7bGt7Nvys9ba1PZMg63s8oWFi3MTgJq0qxwe35b0RLe71kk+VVIZ4HBgbT2Lz5mhV/p6LoVG0Pm9y5Azvax7EyoqJoakEOrf1lDxvdiFQ69dO6wE1PlSr3lPr60/rOVEnDYemAZH+8pjGu240EVvPd9MJIYQQQgghhcOJOmlISjWRPnD7Crp2aqn6mjuaOEknhBBCCCGEFAUn6lVMrQebsV3j1sItrlI09QGuuCdImKuAmf0z28FoupvW+R4vBNMsTd8wc/Qx2y0OcFzj3C5wfthucQDQEevxHG+KtKS2V5PBLktrnWPWz02u13LBW10BDDOJ1eQKmlH5wAR+QWXyKZvLNW456XWB9Nu3zpUjlxASDmp9ZTilO4Hl+lutMavd0aCuifzds3N9Zmp9OvWi9QCwurIEw4xiLcJ8UesbDwaTC4GuM0VHvVBsUDltVQPiQLS9hI0iNYsescaHyFq3hBBSLLbWU+8JwP5A0rH1PsL+QCoAV9RDcPRIM2Ix+jXXA3ZQOXNRfZ+mCZhLGvp6B4ElwFgEju3LbkHWljS0faANsfeuVKrJpIqJRoH9lyf4IEdIHRCLabjyimbmSiYAVH84ckWU/YEAcPQ+GqtuDxJSH3CiHoK1HKSNHC5PuhZ+hlCq6K/ZKNpFJqmieJ5bHsr7lDDuVZoGaO2m4wJn06km7u03xLHw01jW87uuyZ5+LZfrlvt4rvyfXTEV4XU2PhlYrpLkcoMrBPd3ZzO2dLbk1ymWXp+Is4Cz2rLi4y4GAM0R1VlGF4fyvla53cxs17j5+HRZr7MW1GP0V1I51krvqfX5EUbrbTxan8Fsv3dsb7X+ZusP1Prw1LrWA0rvqfXVQb1rPSfqhPigacDe78/AsMZh0wTMRUCzUq61Rjoqnn6NEEIIIYQQ0hhwoh6CU6fi2Levcu5P8Rx5Id3kssLbFGKNXzMixXVP22qbr7U9E00DIu530F1B456Y+hnmhnrRuWEKmm56zt3RtbegawbhlwfUTUskOIhZk+sF6lUjmdrua1EfcnrFeWe/p9n78n1zjvpLycyKWoVo0l2rJjmspscmnkxtH+jf5zl+dm7Ys89Nf2twbtqg345hACPDEWzalszq/p7N+h7E+PIIgOzW9jCBZeqahE+gnBoa6kh1YRgmTp6MY8eOyug9tX5ttT6IY5P3wzQ0zF3w13tqfXHUmtYDufWeWl9GGlDr6/zjlZbxiSTi8bVuBakGjISO5ekOGAn+hAiQiANTExoSHB8IqXnicWBsnHpPFNR74oZ6TyoJRx1CCCGEEEIIIaSKoOt7g+F2m/PL71ls/spqzLF4cSk4MIv7+P6+ywLLnpqxXa6qLw+XO+fl8OyFwLK2C1w23K5xG9rW53X97ww/klc5APiF3c/07LNd4LLhdo0bmj0fWNZ2jetqag0s52bC6ge5gue4fyOlzJEbxIUlf1e+ze17iqq3ZgLL+Lm75aDJcOzQq3rt5aYmpBio9cHH89f66oNa70Ctzw9qfe3CFXVCCCGEEEIIIaSK4EQ9BLoO5kkmAABNN6Fppm8gOdJ46BFrfKg+RwtCSEhsrafeE4B6T9Kh3pNKQtf3EBw90oxYrLwRYMNEfy0Hudx7inWXq3Yen3wUQG63OD1qYN0lZ7MK99Ds06ntXFFh3RFeW6MdASVLx/yqE1W1o8mb0/Sh8VHXv9T287cdKtn1n5zyuhUOtvWXrH6bqEtJE67otyW/ThTYf3mi5A/2yRzjwbmF4wCKd4urd+rdNY6UllhMw5VXNJc14ju1fm3JV+uBYL2n1gdTb1oPlEfvqfWloR61nvbiEFQqLRupDWhdJ264+kZI/UC9J26o98QN9Z5UCq6ok1D4WeFjdZjfUc9iw9rdvR8AcGLm8cDze1t6U9vulYnWSLAV3S9/qh04Jlee0dXkSmp7sL0ntT26MO0pu7UzV9CYUc8edwCZjW3ePKvufecXvXlED/YNBF9xcSK17WdxPzk74tmnw/9huq/Fe59ti3s2a3u0DH5sIwunAo+3RoMD/eSLbW0HgPZoV97nVXVu1gKCyuSDbXGvF2s7IeWAWk+tB6j1+UKtLwJqfSC0CYXg1Kk4DINWVQKYhobZ830wDa66EMAwgLNDERi1rQeEEACGYeLkSeo9UVDviRvqPakknKiHYHwiiXh8rVtBqgEjoWN5ugNGgj8hAiTiwNSEhgTHB0JqnngcGBun3hMF9Z64od6TSkLXd1I0ccNxW6km17h7Ljzm2bepvdenZHh2dF2CpaiOHV2XYN7HdazcuF3j5uMzgWVt17iYHitnk9KIaOFXHtz5XO3tpkjwEGXAWfFa19KZ13Vyub1NLU+ltt1ujTZJwwn6MrmsvvvEqo640Y/plQkkEguec7Kx5Cpru8blCipTShLWb7eq3eLKRD0GnSGknDSi1u/u3o/VFWApqqO7pQexpsqOFdR6RbVoPeDo/ejiOUQT+QWuo9avHbWu9TQPEkIIIYQQQgghVQQn6oQQQgghhBBCSBVB1/cQ6Hr5UjKsdU7VasQd3TJf/Fzg3IwsKFenbG5xB/sO53Uduy/oOoAyeNLY0V9LyUPjQ6nty9ftCCzbFg3vznZxaSnw+LbOzYHHp1ee8uxbTTq/Cz/XuLZoc2p70RU5tC1aGvcut2tcV1N2dztNN6FpZlEpfGZWvG6NHU35RYoNE/3Vj4TLpbWnOThirx/u/toS8UYJPjPv/W6zsbVlR+jrF0u9RIclpSFtfC8x1Hov1az1gLs/lD64ILVeUStaDxSv99R6BbU+P7iiHoKjR5oRizHqJwGiMeDgEQPRyr0KRqqYSNTE1gPjiEQZJZqQWicW03DlFdR7orD1nuM7Adx6XzuTPVK7cEU9BLpO0c6F4bO8nC1PqR+FWNYLwba2A4UHnSlkteW7Z+7y7Ltl63UFXd8mV37O+y96LZx+Fve7Rp17n6ur57Kolwq3ld29PdDWHXiePDXs2Xdpr9eqcknPxsB6clnW3RTSH9yfyY/5VRWAJl9re6EUYlnPRhiLuu/5y0MA1sba7g4eVDSlT9VLKgj1PphG0nog/PhOrQ9HLWk9YPWH/OLIAaDW+55Prc8LrqgTQgghhBBCCCFVBCfqITh1Kg7DoOsTAQwDODOkwaDnE4HqD+NnO9kfCKkDDMPEyZPUe6Kg3hM3tt6b7A+kAtD1PQTjo4vYtW4OzU1lEO+udaWvs0JE9Fz5L6t7NBueG3dtfx8A8KLtz/Et+6Xj3wMAaIkmdFw8iLuXH4MZdYJzPHfrZZ5zfjLyaOD13S5yvc3e4By58ovu7t4SeDwXbjc4G/fzqe0at5LDzWugtbWodvS1dKS2RxemQ5//vTPh89k/NX0+tX3VwCWhz7cxEjpGLhg4Gx0GovHU/kt7NxVcp5vlxHLg8WIDzDQ6S1jNXYg0DPHJMYyd78DmzuXS6z21fs0oROsBR+/nl59K6T21vnBqWesB4OGLw9Av7IcRHUvpPbW+NqhFreeKOiGEEEIIIYQQUkVwRb1KiM0qS2+8QGt7LE+rZLy9p6D6642EEWwy/ubp76e25+P5rxLcdkZZ1J+YdFZVL18fHBrez7JeSta1eIOkjC/P5X1+v2X9HlmYL6odT0yd9OzriLX4lh20+mk2a/tT02Oefds6nYgew3MhorwUwYPjJ9RGIgYd+z3Hn5gaSW2fmVvxHL9p89aStGNi+WJqu7+ldMFi1hI70AywNsFmCCkH1PrKQq2n1peClNYDALzfM7W+cKj1wXBFnRBCCCGEEEIIqSI4UQ+BrpvQdQaXIQC0JEzNALTKWHNJlaMZzn+EkJrG1nrqPQFAvSfpUO9JBaHrewiO7ltBLFreW2a7xQEAcgQWKah+l3tRLte484te9yU/tnQUF5ijWJ6aOpXa7mkKdi0L4wYWhBlJYn7wYUBLf5Bzu8HZPDSWv2tcIfgFFzk2+WTgOT0uF7yeZu/xhE94203trgAwi/m5xrVEi/u8Z+f9A6t0NAXbGF+xZ1fWY49OnEltd+XoL27uHH3Cs6/V/nyRJIwtjwEZD/Z+LnBufnjOaYufa1xUD5+g0+0aNx8PDkxjU8rcqrVCLQaVIZUhFgWuvHQ5dO7sUNeg1odmLbQe8Nd7an06DaP1gK/eU+url1rXeq6oh6Ccok1qEI2rLcQFV98IqRuo9yQN6j1xQ70nFaJkZlwhxC4AVwG42vp7JQA7ssWbpJS3hqzrnQBeBGAzgCUATwL4HICPSim9pkxvHQMAfgeAALAdQBLACQD/BeCfpJTFRcsghBBCGgxqPSGEEFIZSulvdSJ3kdwIIX4ewKcAtLt2twK43vrvzUKIF0gpL/qdb9VxA4CvAlifceio9d9bhBAvlFI+FaZtp0Zi2LfdrBtLu9s1blibXLuGuIho5X21wI6KGsYtbldXr2ffyZlptMxsxXL3mVCW9oimefbNri6ltruavPlJm3LkrvXjQN++1HYu17hSMb7s/hzKTWx1NeHa5/1sbdGmgq41v6rc9dxuceta8svtms0F7qnpswCAS3ryz1W7lLDmEaaGttkdMHvPldTSbkcsDuMWl68LXKNS625wVUDda71hACfPxbBjY7wu9J5anx++Wj87BZhaaL2n1qdTN1oPoFVvgja1uaR6T60vPfWi9eWQoEkA3wXwxbAnCiGuAPBZKOG+COB1ADYB2A3gTwEkABwB8DUhhG/bhRBbAUgo4V4A8FsAtlr//Za1byeAbwghOvzqyMb4VATxhHfwJY2HlowhttgPLVn699BI7aElY9Dm+wCDYT9Iw1C3Wh9PaBibilLvCQDqPcnAiFLvScUoZS97FYD7pJQnAUAIcTOAV4as4wMAWgCsAnielPIR17H3CSEuAPg3ANcBeAOAW33qeB+Afmv7F6SU33Ed+4gQ4jiAb0E9ELwbwJ+HbCNpAAZauwOPb+/sxtJkDP2d3dBjjiV5lxXr5RtDWReBArm0d5tn39n5wuqyaYsFW7JtK//3hid8j7/loDc/+G7r9txx/nhq38yKE5Smy+eS7tWEtqhPVBsXd19QgVeao86D8krCsVwPtEUD6zk5o+7Zru7wgVN+NOINJAMAsRxmzXUt/di/6QY0Zflo/3nsO559pcqtWiwPjd+X2l6MO0Fxrt94Y+B5J2YezXqsq6mnqDa1RJzVkLG48xtYH2u8YDhVBrWe1A25tH5XVy+MeNSj99R6RSNq/U2bbsDjE3pWvafWh4NaH0zJVtSllF+0hbsQhBCHAdxk/fPjGcJtX+NjUO+vAcBv+9TRB+C11j+/nSHcdh3fBmDvf3s2az0hhBBC0qHWE0IIIZWhmoTrZa7tzweU+4L19wrL9c3NS+B4CQTVYR8bABBsRiKEEEJIqaDWE0IIIXlQTS9YXGX9NQDcHVDup67tKwGccf37qizlctXx43waqOsmdKZk8HB23onTU0ie1YuLw6VsTkXQdAPQTPXXhxfv8HfZGV2cDn2tLR2qrmxucZECAtC4yeYGlw9uFzg3dk7RrZ2OX5if69qIK8jRphy5fm0XODeLCcd1y7/+Kc++qCs6lF8O2WzEraJut7gNbcr/0UxGoM8Fp3R684HnAwBuO/OjvK/ptDOZ2n5s8lxg2d0FuAC6XeDc3Hn+Ds++gbZgV1Gb2dXp1HYu1zi361su3K5xNrlc5OolqEydUDNaT71PpxG1HgjWe2p9Y2k9oHTe/s8Pan12qPXhqaYV9UutvyNSyqWAcm6Xu8wXauw6DACnAuo4BcBWYO9LOVk4um8FsWoybZA1Q4sYaNt5Alok/8Gf1C9aJImDRwxEGWuIkFxUvdbHosCVly5T7wkA6j1JJxoD9Z5UjGqaqNvpVS7kKOc+vi5LHVNB+VellKsAprPUkZV6SNNCSofG1RbiguMDIXlR9VoP8PdM0qHeEzccH0ilqCZ7sZ0+JVdiQLcFPjPlSr512PX0+tSRld/5k+9C153IlHaazA//zQsBAPEEYBjp6Vxi0fS866HKRNxl4FMmvX3FlIlrzs5I1Egrk0xonjZnK7Oy4ohZLIa0+xWPm2nt0ecnEIsCg7rjCnPOXPK0OZJxf9S1nH8b8Si0SDJNSM1kBGZGm7VIEhOrs66KIoCZMdpGEoBm4uLSTKrMuuYeTz3p19JhGnpeZQZi6zxltnVuSH2uxGp6m/WogfEVlfe2KRKFkdA9bTaM9O80kQBc3lOYmFsFIom09sTMptT9ed7GQU+bp1cXU/fnkQsjrgYlAN3EPaOL6nYZUWiWvW9Dm+qwhh5HZ7Oqe3olDi0ZAcwIZlwuSYOdzZ7v69z0QurfW5r7gEgCPznvuLPphgbdutbBfmXKPjG/5MprG4duRKG57s/R9a2AT9+A9dm3daig0ZFoEvZPYHRxHkhGoJnp+UzNSBzQzDR3dzPufF93nf0ZEEniuo1Xp/Yl4t7fIAwtlXt1aHYsdZ+3dvSniuhRI63Nj42NptqjoSmtPSmsNp+cmE7t2tnbm1ZPZv9ZjK9Y37vrc2b57WTW4x0T0utxl5lcnUuV2dC+ybk/CcA0NMST7npMT3/ObE9mmfNLF1NlZlbHPe3Z0n4JEhnjD6BWRtxjVKnKkECo9ZllqPXWtaj1ALWeWk+tz1am2rQ+ETeBMntWVNNE3SaX2TIfs2apyqSxtKoj4uowkQjQFFXVGAbw4FMtng69vjeBXZvjhZXRnHLr+5LYtSXplHmiydOBiimzhJ5Umc6+FazfupAqM/x4L8yMerKVGYs677+sXx/Bzl0xq4yJhx5cSWuPlmjytOfk4+2eH2pXXxyD25adMsfSyyyv7ka0awZNA6MA1A99+fQuj6BGu2aALku8TQ3RkYMeITTbJ5DsP5NWZklvyqhnFk3rLmJ1fACxvjEsnd4FmJqnTPPAhVR7FoeCyxgGcPaJfpgZZTp6l4H+yVQ9sye3wcxo8+hiFJu2J1L1PP1oc9p9TqzsgdY5jej68879Gfa/P/Y9hKFBP7ffe386JmH2nwUAaKaG3fOXp8SyZUm1fallHGh27mH7xcvSBBUAkqvzae1JDO/xXEvrnAYwlbrWrrnDqQeF6Ir62xe5iMmO06lrbZo6lCoDACuLMUS6ZhBz9Y2V07tT4n0+qr7b9t5F9G2Zcdp84TJPexJtE1jpHfatx4QGc7UZ0f6LwEbrFhrA44/oXvGObgL6z6XuM85dCpg6JqJOP2vpmUfXRud7bxm9DMj4vpLtE4j3Dafa7FdmKb6KtsGxVD2Z/SdpGHn/dpwywMWnN3p+p629C+jZNJWzzIbdzv058VibZ2zp7k9g47bVgsvEDfUOm/s7NQwTjz3ifZDqXwds24GSliF5U7VavxLXYEKHbj0cU+sbV+ubBy6o8X5sAMn5Tmo9GlvrAaX3mmbA2KAMJ9T6xtR6u8z116KsVNNEfR7K6t2ao5z7+LxPHZllctWTWUdW3vT6l+DopQaaY0qw3dZxXQeOXLLsa0G3KapMcyS9zKWrvhb0MGWeNE6jdY8O09CwLuYsNkSizkm6DmzbP+VrZbfpbVmHzstty+5ian80BsytAt0rBnQAR/f4W/3d17pun5EqczGyZF3LuT+n5k4BW3RorsGlC7YVMIqe5nYAgHHpuK8VcIu+BQBwbPIsEpse87ey22gmEpsew9WDV2TU04Vkohsnz7RhV083tD4zNUg9PaVeq9QijtlQ00207Tjpa4kHgMG2HQCAgaN+1rs2PDp1OlVP165hT5sH+3eltnUd2HvZSpqV/cGx42mfS9NNtGw/6WtJdSoyYWx+3Ht/dKceUzNxouOhlFi2RdXfpB6HOa++sy0dESwMPAqYEXz80cnUuS/saoN50dXvW3+GI/096deKJIDzzrVOdj6csrLv7bFyq0biaNPUb+PsfBIjvY+kPSjoHRFljV50rnXFwWkfq63z2bd1dsFsO5PF0twNAyY03UTz9hPORD0RxcqZHYj2jANQAap1Hdh/yOnPPx6503MPoZvA5icAU0/9cnZ0DVgWYus3rwPLg4/6W/1TjTN9y3T29UOzTc0RoG/32TTxnltd8vTVXH1D04GBved9f1/5lWlN3Z/dBxd9Leip21NAGbeV3WZk6Wn07FZj3aY25/fifsdQ1zUcPORvQQ9ThuSk6rX+b//k+Thxth0Hd6+gOWZS6y0aUet1vQvxVQ0nz7Rh+8FFRKzPQa1vTK0HLL0/ux2JONDUTK1vVK23y5Sbapqoj0OJd64whhtc25khLMetv71CiFi2d9eEEE3WtfzqyIquAc0xE81N/l+MEqLgL63gMrpfmWDyKWOLcCyWPUhKJGoikqPN0Shy9qawbY5F/K+pRwwgR1AXPWrkDsAQSQJI5iwT8/m+3WdFXd+XHkt4ygIqGE2uQDTRWG7XWT1qQMVPcu3L+KCZ34UW8/4MtEgSWsSzO5087k/SJUSJiP8dN616Fk1nBcbU0p+vDT3h287MMvYnN6P+99LQ0++/GfV+yEiWc93kc3+0SDLNZVXTTc97jGkTuGiWz5dxn6NNPvc8koSZR1/NLJPZnsz+o5ve/prPZ8/n95VPmWge42HYMtEs98n+3puas//O8vkN5lOGBFL1Wt8cUxPzbHpPrS++PbWi9WlFokiVodZ7aRStB9KcYABQ6xtV6yvxPJBzfKsgT1h/NwkhWgLK7XJtP56lDh3AjoA6dgCw725mHYQQQggpD9R6QgghJA+qaUX9PgA/B2W3ugbAj7KUu8G1fb9PHTbXA3g6jzruy1JmzVnq6Eptty4tBpTMzeOJ04HHF+IqAER7rDOwXHdTqMC5RTGYVIFn7ph/rOR1H+jbkto+Nnk2tb2ne7CoepeTXktqS6Q4v9jVpNcS2hRxfrp9hrpPP5y81/d8+/rutvW1BMdVOrcw49l3sM8JDLLD6iZfOTEcWM+/PJB/3la/+3TLtvWp7e8OjwWef7Cv3bNvLu6NNXXvhZOp7as37PIcLxQDJlaTSfx4JCitc3b29GTve5ev25bafmg8+J7vC6iHAGcXnvLs29IePic0KRhqfQbUemo9QK23qXatX00mYcDEXaP35vQO8INaXxnqReuraUX9q67tVweUe6X192dSysxe/L8A7JEuqI5XWX/HAOT9VK3rJnSm6CCw3ZyZsoVY6KaKyqrndrUjpMH5qmu7qrWeek8A6j3JQDeo96RiVM1EXUr5MBzL+puEEAczywgh3gpgv/XPD/vUMQngs9Y/XyCEeJ5PHbcAeKH1z3+VUuZ4GcTh6L6VvN69IvVPNArsObRgvS9DGh0tkkRk2xPpQXoIIR5qQetjUeDKS5ep9wQA9Z6kQ70nlaRkw44QYjeA9a5dB1zbu4UQ17n+PSulPOZTze8AuANAC4DbhBDvAvB9qNCBrwHw51a5uwB8IktT/hjASwD0A/iKEOL3AfyP3UwAf2dtnwDw/tyfzCEzkEcpcbu++R5vbfPs83ORy+X2lgvbLS6TTe07i6q3msnlAjcy77jLbepw3Ojy7Q9uN7RN7T2h2paNa7uOePbd1Ofk9PRzjTs5M+e7fcPGLZ6yhRBPOqsNO7vV0PIbR518oV1N3uFmS0efb13LCa87mTtN9VNTajHtkt7gIawz5rwCa7vGrbi09ScjJzNPwY7O7sA6/dwTAaTlFfXjqg0HPPvuu+A3DAbzml3Cs+/+yXtC1wMAXU0q0M/s6lKOktXN9OrFos63XeRq0S2u0jSC1gPl03tq/dpRqNYD+fUHar2i3rUeCPauoNaXj0bU+lJK0Z8AuNP130dcx/4449i/+FUgpfwZlEgvQEV8/QxU0oaTAP4KyrDwIICXSSl9fU6klGegRHocQId1rTPWfx+x9p0C8GIppb9SEUIIIcQPaj0hhBBSAarOkUdK+RUhxGEoi/sLAWwBsATgSQCfg3JhC4zeIKX8qRDiMgDvhBLy7VB5Ck4A+DKADxUi3KdGYti33SyZpT2XZT3n+S7L+9AcA9oCwPTKQmrbzrPqR1vUuXerydnQ1zk/N4K5C73o3DBV9Htrx2ceTW0/MnHWc3xrFkt0EPM+gVWyMbIw5dnX3+Lcn8XEKgDg5KxjyTzQtxkA8Op9u1P7vvjUidT28KyyRG/rKmyI2dm92bvzjDfAzPZO/3szvaJWoNpiTal97m2b4Tnvd7+ls9+zDwCOT4/67gcA09BgTGyE3n8+rT8cXhdstXVb3qdXJgNKBnNl3zWp7TAW976WnrS/+bC+tbhVmaVE3umsK447+EwtWdxrkWrWesMATp6LYcfGeEn0nlpfeiql9aML52AaWkn0nlrvpda0HvDXe2q9F2p9aSjZRF1K+SsAfqVEdZ0E8NtF1nEBwB9Z/5WE8akIdm1OZs2jThoHI6FjeboD7f0ziPjlwiSNRTIKc74H6BkD9PBRYAmpFRpB6+MJDWNTUWxen6DeE+o9SYd6TypI1QSTI4QQQgghhBBCSBW6vjcCxbrBkey4c4YaploJcbu++dHT7Hwf0yte9yi3a9lTU8cBAO3wz0062KaCk7RE/fOp+gUnGWxz3Iv83OFsdzQ33x5zMg2NLXndi3qbWz37NrU3B7bJna/1gTGvt+i+Xuf8f39U3YdfvWxPat+HfuhkUHrHTSoX6JeedO7nn1znuM7Z9Lfk/1u4ekNwPlg3Pc3qO181sgeDCYud+zSbW1x/Sz8ObuxHU7MTCWdyJdiFLv38AQDAxLI3WMpBn4BCtUprVH2PxbrFFRtUJhe15BpHqhNqffmolNbbQbgyodYrGlHrb9x4HR4bR5reU+u9UOtLA1fUCSGEEEIIIYSQKoIT9RDougm9yMBhpD7QdBOaZhYdSI7UCboBXS9vCkdCSGWwtZ56TwDqPUnH1nrqPakEdH0PwdF9K4hFC7tl5XaB29G5H0B1RoSdcgXg7PV6dqVx9+ITnn1RPZLazuaG5oeuabkLZWC7xp2dD3a10aMG1l1yNrRw2y5nfc3++Vxv2apSEH/3zF2h6s3k3Lw37+75BScIzpH1jovg9Kr9pThfzuYO556fm1fnnZnzfnmfe/KEZx8ALCeLe6D5ycijnn3uPKk2g1ly1Y7Mq+i2US3iOTbY7uROzZbbNSxaJIlDRwBdT+9z7u/ZzzUuonnHE9strlByRYUNE/WVKJoi3r5H6pdYFLjy0uWCHsSp9Yp60XqgML2n1udHrWk9AERjGg4dMdP0nlpfH1Sj1tMeFAJaz4gbWteJm8xJOiGkdqHeEzfUe+KGek8qBVfUy0itB5LZ1rkv8HjC8FpdDdMIPGfKm94ST017LevVjjsYSzkYXzJc2ypIyy3bdvqW3WblAr3/4um8639wzLHCP2OzsjSfnffPMWtb3KeWnTZt61T7Jl37fvNZ21LbcUM91Fw+4KyKPDXtzY06vuSf4viglbv1sclzqX3FWsSPTarcpW4rux8Pjg357l9JBvftXNgW95nV8aLqCUNHk9c6vGo4AZOa9LWzHmtadc+EdnUdXusmkBqBWu+FWp8f1HpqfSmg1hdOtWt9dd+9KuPUSAxGcb9fUieYBjB9rhc5nlVIo2BqGB4yYRhcdSGk1jEM4OQ56j1RUO+JG8MwqfekYnCiHoLxqQjiCbq7ECCZiGBxuh3JhPe9KNJ4aMkYJsaBRHytW0IIKZZ4QsPYVJR6TwBQ70k6iTio96Ri0PU9BGasCcmudiSb8xTv5HLuMlVCLtc3P6K68m1brfLPObLgdcPa1L4+sKw7OI2dozUM7nP8At24g424g5C4XZXC8rOL/qrx64f2evbdNTrk2bfF5b75zaEJz/H5uPc+TC75X/PSPm8e1x2dvantoTkVAKavpd2pa3nBc47tFgf4fw/HfHLRuhlZWPHs+/6ZU6nt52x1XAwfHh/2lC2W2fikZ5/bDczMc4nGL1BMNvxc4LJh97e1dIsrlF7X72YqRA7bIKrdBY5UhmRnP8yYiWRXR356X+Ua6IZan16WWk+tLwXU+vLR6FrPFXVCCCGEEEIIIaSK4ESdEEIIIYQQQgipIuj6HgJdD5eyxZ2Pr1IuY3aO1Uz8cq4W4gK31syuLqW2c+VZnVyez3rMz0UuG253ttHFGQDAxeQCIoluTM+cw4H13jypmzt2p7bPL5wMrN/PBe4X91zhXHNBufosxr2uXQBwMRUp1olw+t3hmcBrurEjwH7rlBMddmYl4SnXFPF2/kgWr9B4jiArbtc4G7drXMJIeo53N3d49h3sd6LPPjbhuLMZUNcfbHdCD48ueCMXu13jbNa1Ou8hHujb4jn+wJhznaPr1fWNhI6L07MYXjgPfcVxcVvX6p9D18btGtfdtC5ruXPzwW5/xbK5Y0/eZYsdy5aT3ry/xVKsa1wtucGR8mNrfb56T60vPVWj9UuzQDKCSKIbG3xStFHrG0vrAWB44UksJTem6T213gu1vjRwRT0Elx9pQizG4DIEQCSJ5OZHgYhXZEjjoUcNbNh3DnqUYYEJqXViMQ1Hr6DeEwtL7yMc3wmo96SycEU9BLpeuGivhcXdjZ/13UDtDTJui/d8fI0D21jW9WOu/J+3bHuWp9jG9l2pbT+L+3x8OrXdEevxHL//4nkAwJUDG/Nu2rO3dKa2n5pSVsdD65x23LT5QGrbDnLyrVM/S+27frNj8bY5PuW1Ug+2+w8hbku1zZePX/Dsa85ipn/bIdVfZ1aclZITM471dHe3sqrGDSfAzSW9zv15YmrEU6ffpZI+iwF+lnU3bsu6m0JShQZZ1qsV91g2tXIx9PkRrTpkpxYt66RyFKr31PrSUFVaDwC6Sa33oRG1Hgiv99T6taPWtZ4r6oQQQgghhBBCSBXBiXoIhk4lYOR4H4c0CIYGfWILYNA1kgCmAUyP9CLPDCyEkCrGMEycOkm9JxbUe+KCek8qSXX4JdQIExNJxONAszdtZChsd5Jqz0laLfjlJi0lUd3ruuXm7Lw3PyaMKLT5PqD7AqD75xf1w84Pmu0z2a5xPzzrDXzS39rne85iwuum1hKNpbZHF1SwmdOz51P7tnd5Xev++kYnqM03ho55ju/pbfLsa4v6fw6//b3NXrvglo7ge+8OKjO+7HWN29bZ73vepnZvAJuxRa87nttFzg4cdefo6dS+6we3e84ZX5pLba9rVW6HyUQES1Pt6Fg3i2jT2sYtWE44/dHdD/zY2XVZuZvjIWmq4EXlcoubXvHm6CUkDPE4MD6exKbNkaL0nlofjqrUeqAgvafWp1MvWg9Uj95T6xtD67miTgghhBBCCCGEVBFcUV9D3IEabCppeddddppigs3MxbNYoX3ojDmW4tFFZc3MlXql0EAyfS3eFB827tQvubis3xtwJLEawehYKwZ7N2Fo0Qlm8uNzdwIAnrn5+tS+c/MnPOfb1nYg3eK+mlQWyOs3bk3tu/P8mbzb6sdgu0rlshh3rPFui7ufVXJTh3cZaZPP7Rxb9Fr4AWB3T7dnX2fTrGdfs08aGAC49dgTnn23bFvv2fcfjx33Pf+X9m727Htq2puGxs2lfd7h0G1x39vtXeWwLe5GPIrmSCvWt25CU7O/u+wXnvpJ4PXfcvClWY+1RL0rHACwbK2wZFspclvc65lTs97fWC5+NnZnavuK9dcHlCSkOKj1tav1gKP3S5EYNGuopdYrGk3rAWBvxwHMRlqy6j21vnw0otZzRZ0QQgghhBBCCKkiOFEPga4777aQxkbTzdR/hGi6AU03oUfYHwipdWytp94TwNF7aIweRgA9YlLvScWg63sILj/ShFisvMFO1joHaxgmlr35K3MRxnXOpiPm3JNS5VN1u+CFcY2ziUQNbLp0JGsuTdstDgCGZh13s+ds3ekpa7vAZWN9m3KFemDs6dS+o+v3praPz3jv6W3D3s+0o8s/2MhmnyAvbT79vCPmHS4mV/wfXA5GvNd6bMLrmvWMTV2+51+5wdsmwxViVbduvDtAzdl5J6jLbWccdz+bvhZ1zuSyU88VA952tuYIyuKHFjFwyeHloh7sT80+BgDY2XUwte/EzKOB59hucgmjcgFtCsmnWg4KcYEjJB9iMQ1Hr4gVnEs9H6j1XqpR6wFH70/MesdZan1jaT0ARKMoSu+p9eFodK2nvTgE5RRtUntkm6STxoSrb4TUD9R74oZ6T9xQ70mlYFcjhBBCCCGEEEKqCLq+h2DoVAKX7IvWpaW9JdKWV7lzC/6RNyvFhjZvNNBsLMTnchcCMOnK2elHT7P33pgGMH2+Bz0bp33PcbvAufn+GZUzNZnl1aaN7d6fpF+Uz4klxwXucP8gAODhidHUvl3dXpeu6zf6u55NLC969vlFaP2tbw2ltr/484cBAAOuIL7jy879vrikor6+6p/vS+27+z0v8tTZ0+zfJr/crj19zvfgdo2zcbvGLSayvzv25ITjUunnDpeNyRXVT3T4/P4NDedPx7BhazyUpd3PPdJ2i6sEY0tnQ58T1f2j0oa/9rmCziuVS6wbOypsLUaEJaXHMEycOpnA9h2RutN7an12/LQecPTebL3oiUtDrW8wrQdgGMCFM+H0nlofHmq9givqIZiYSCLeGBkQSA6SiQgWptqRTPinyiANhhHF9EQUiXh9PdQT0ojE48D4OPWeKGy9h8G1LQIk4hr1nlQMjjoNjF9u11xsbt+T2l5ri3shnJzxBsdw5zbNdc4lvVaeVV2HpumI6jFc2ufkQf3RuacAAG0xxwa2GC8uUmxfc/YcsW5OzfgHqrFzhk6tONb0TlfQnu4mtd2SJbDKG+TjAIDEslP/W779uKdcR8wxWkSsVaitl21I7XvJl+9NbR8aVJ9pd69jpv+lPc4KyoG+XqtN/hbdH5wd9ez77GPeQDtTy94n7SsGO1Pbn3vcWRl48S7VppkVJ1/ssUnv+c/b6v99TK5MY/LCEzi4YaPv8RdsvwQAEDdK9/Q/NDvm2belw5sD1s3Zeec+rWvNf9XKJmE496cQi/vk8oXQ57ixA06Vw9pOSD1CrVcUpPVASu/39mxCtEnpObVe0Yhaf++FB4GVS7F+dR5ReIO7UesV1PrSwBV1QgghhBBCCCGkiuBEnRBCCCGEEEIIqSLo+h4CXa9sSobWZcfdY6klvOtavdAe68xdKOC8R8aDczAaphOMJJdrnI2mm9A10xNYxg+3a9zcarBrnJ5nDhg7gIubqSx5Ttt9XMoWEyuefYPt3b7nb7Fc1k6enUnt22Ptm1xyXOQef3o8tX3dIeUGd+qc087uPsf1bXhGXf8/n3+T7zUv+6cvAwC+/6vP8j0e87lN69u97nwT887nvGqL9/PNrATntXXz0p1eN7Mnp9Tn04wE1iUTGF9YwkFPqcL50bnTnn3bOoODQbnd3XLx4NiTAIAj6/eFa5jFxcXs+ZUH2jaltot1gSOkkthaXym9p9YrqlHrgfz1nlqvqGetBxy91/TiXnVwQ60n2eCKegguP9KEWIzBIwgQiZrYfOAiItHcE3VS/5h6AmPrHoSp5/8wQAipTmIxDUevoN4TBfWeuLH1nv2BVAJO1ENQb2laSHFU0ruC1AAaRZuQeoF6T9xQ70ka1HtSIej6XiVEFqYDj9uuccW6xRUS/TUbdlTYbBFht03litRouS9tPJD3NYeXT+ZdthAO9u8KPB53RcG0ibmiYT5362UAgNvOPJral8sF7ifnllLbr9rndV1LmCqq6N6ebb7nPzah7klzxP/BcmzZ6/rWFvWWnVz2zwdru4z19DtuWEnLhbDJdc3mzubU9qX9truckzv1us2OW+NTk0tWPf4r0Ht2qEiww3Pjvsf9ctN2NwcPZ37ucm53uM89Pg0AeNuR3tS+6zeWJo+om6emzgceH1nwfl/VxOSy/3eSidtVzi8/cDVi51gFaivPKqkdqPX5Qa33Qq1XUOsrA7W+OqCNMARDpxIwDFrRCGAYwMTZLhile0WJ1DKmhs7Z7YDJVThCah3DMHHqJPWeKKj3JA1L7032B1IBuKIegomJJOJxoLk5d9l8yGVZ98MddMbNWgagyW1NL+G1WhwruG1xTxrB7wXv6h4o2fVti3o8oWNxqg39g6sAvKP1VQNbPPvcvO/uJ333f+FJFcTl1w/75+L2oy2qOuQVA/65Ue0AM6tZ7tN1g5d59v32D36a2n6OZfFeijv5Qvf0qjrdeWOXEs52pxUBxm2FX3CV3dmjrPA/GXFWI25wrbZ86eeeCQB4YOxp3zb7LSgsJbz5TNtanCHuh6enAQA3be9J7Xvhri6EpSPmHQB0I4YNxkbs6FnGufkJ3/OmV/xXMcIyPOfkyM0VbKZaSBjOd1PNFver212hABe9QZxCkV9KZFKFxOPA+HgSmzZHSqL31PoCrlUlWg84ep8cXIXelK731PrG0noAONQzgKWZjTg7cwp6zHuvqfUKan1p4Io6IYQQQgghhBBSRXCiTgghhBBCCCGEVBF0fV8DCnGDy4XtJhdvC3bvMVwv1eSbx7NayeUGVw7sADMJQ4cBEwljFbECfkZid7vv/vaYcmmbXXWCznQ1Kdex5kiw69PmdicwypNTTn7Ndqt5fm5vAGD6uO4Pz3hdHOdXHZem6zYq98sZVxfa2eO4ZMatdzvfdMhpU6crIepT0+q7G5p16vzZxYdS28enVJCV0XknoM8Hn+3k/xy0bsWDYxdT+16+x+n7nz42BQB48R5vPtR1LU474q5INTHLx84vFy3g7wZ35cB6AIARj2Juzve0FI9Pqe90f2+r7/E9PYPWX2efX27Vy/r7gy/kwt2Pgjg7nz1HaiZtWe5PpVhOxAEAUS3Yrc4OzJQPaW5whJQIan1pWEutBxy9LwRqfX1pPQCs5ogBR60vDdR6RW2P3hVG15migyg03YSumdB0BhsiAHQD0ExoOqPLEFLr2FpPvSeAo/c69Z4ASuep96RCcEU9BJcfaUIsxqjOBIhETWw+cJEPcgQAoEcMtO08QcMNIXVALKbh6BUx5lInABy9j6zxCiOpDjTqPakgnKiHoBjRLocLXLGEcY1bSARERRx0cn52jQ4X3a61ZGwxOG9kT4vjcmVP0t0uchcXpwLPPzEzFrpN40vBPtV9LX6udY473LM2X+c5Ohef9Oz7ndvvSm2/7YjjcrWzW33myeX51L6eZnXNkQVn39WDjjvcFQPKDe7eC8796G9xHnIO9yu3vxdsf15q36/f9l+p7ScnVLTTjibH5Wkx4fU3e/89Fzz7AGCwQ13rq086Edjfevl637I2Z+eV+9RBrwcdAOD4jKprT7dzb67e4M2/eef5O5ztUW9/st3iAODndu4MbNOzNm8HkH7vwzCQ0z228g8auqaFvrbtAheGbO5yR9suDV0XaTwK1XtqfW0QRusBpffUegW1XkGtD4ZaXxq4HkgIIYQQQgghhFQRXFEPwdCpBC7ZF61Kd7hcgWVyYVvcl5KFWfMqhZ1PNQy5rHnLidXA4751GsDUSBd6N82Gcn9P+jRlR2evZ9983AnwsppUwVhuP3tvat9Aq/f7Xtfamdq+cdP21PbIwpB1zqbUvtaIk/jxp+d/BgD46HMdi/dT005O0ysHrgUALCWcvtHbrPLVTq6Mpvadmx9KbXc39wAALrjyU/58/7Wp7eHINADgxIyTW3Vrp5Mb9nirGpq+9rKXwo+7Rx8AAHzouY6V+oP3j/qWTbXZCiwzteysLsV8krR+e9j5nNcOel0dbWs7AFy9Qf01DBPDpw1s267j+o03po7fOfq1wDbly+jidGp7sK2nJHUChVm8F12/l3yDzTRFvFJjXzvrdeLhf5eElALDMHHqZALbd0SqTu+p9dkph9YDhek9tV5Rb1oPOHp/7fYbUuMDtV5BrS89XFEPwcREEvHwXhmkDjESOuanWmEk+BMiQDwOTIyZHB8IqQPicWB8nHpPFNR74oZ6TypJ1ayoCyFuB3BTmHOklGlmmhB1fF1K6W++I4QQQkjZoN4TQgghuamaiXoBPLzWDchFNQaVKTezrmAzZ+aO53nSg6nNzqb83foiuuq+FxaDg7a0Rb05Md20uFx6/FzjHp10u1mp7bnFKNYttuLY8HEYEe85V29w/KR+dtEJgtLRFN4i3xFrSfubie3KePeFM77H//fEAgCgNfpEat/1m5y6zi+owCpjy3em9s2vOu5RF5e+66nTzvd6Wb8TrMPtUrW5fQ8A4Bd2O/3BfPqB1Pa2XUetnY7r2ZUbzjvnd6jgIB979Mepfa+6ZH9q+9K+rQCAjzz0WGrf4QEn9+xtQ9MAgL5W7xDX68qtOh932rzFumZvs3N80XW8zcr4sKsrSwQaix+cvT21fXR9d2r7gbEZAMCGNifwyT0XnIBM12xw7pXNscmznn1u17hvDi0GtuXth7cHHi+Eda09eZVLGMW5s7XFnN8lXeManqrWe2p9/Wr9zIoBPdmUVe+p9Y7Wm6aJxcUVzB938qRvPXgNNE2rS62/Y+Sn0GJqWZ1aXzjU+mCqaaL+IgDBWe2BNwH4kLX98YByP7Hqy0YiRLsIIYQQUjqo94TUEaZp4rk3/QHuuvPxtP03Xr8fP/r+36G6Ij0QUjtUzURdSrmUq4wQ4petzTiAzwQUTUopSx4pRdfBvNkEAGBqRuo/QiLW2BDh+EBITqpd722tp94TgHqfD4uLK55JOgDccefjWFxcQXvVzDaKx9Z76OwPpPzUzE9HCLEXwA3WP/9XShk+SWWRXHG0DS1NsdwFSc3y+FRwNFEbU09gbN2DgOYfQdPtAudmflUN7ONLzgA/5Mq3evMWlf9zasX7HOuOnOl28ZteVS5R7tyll/RsTG1fP6j+Hox43a0A4F0P/wAAcHHRadO+Xqf+bR0ql2jClYvXdn3TXfEoO5qcHK+RZdWmiMuFL/Ejx3UtctHK7TrguJYN9vSkth+4qFzj/uCqF/u2+d8f/ZZqW2fEdY6Te/XIBhXpdmzRifbyrVPqWf72ux23wRfd6HUXe952v1y1/m5wd4/+NLW9MBDHjy9kj6jqdoPzw3aN64hV3+wgXxc4QkrBWut9S1MMV11ZnRleSGnIV+uBYL2n1qs2tZjZpxPmPbfD3O68IlDrWr+YWIU5oEHT/fWeWk9KSfX1kuy8ybUd5AZXNijaJI0sk3TSmGQTbUJIaKj3pLqg3hMX1HtSKWpiRV0IoQN4g/XPUQDfDHGeLqVcm3fUOtY52/Pja9KEsLhzblZ7ntV8WUw41le/YDMPjA179uWi2xWExC83qptHJ5xcnAf6VNkfnZvwLTu+PAcAaI06P82lhLf7uj/TyZkVz/GB1gXPvvl1/gFqpldUgJkrBhxvkU3tzmfa06OCyCwnnWAmtnXdgGN5n1yeSW0vJ1Qwm4Pzzm9g9o0itR3V1YrAd4d/lNp3zwlnZWHZSkJ71ac/ndr3j8/Zldre36cCEf343HRqnzs3688uqLY+cM7J7erHkQ2tqe0HL6jrb+ts8y07u6qO28F18uHI+gOubfX3G0P3+JY90Dfg2Tc8V9y48a8PnwaQPdBMSyTYQ6gt5n8vCCkXNan31PqqgFqvWAut3zHr5HbPZO7a6/DtCUf3qPXUepI/NTFRB3ALgM3W9qfyEOJDQojjAHYC0IUQkwDugXrP7fOFCvmpU6vYt4/ucASAqaF5eitWevyjr5LGwjQ0JMY2ItI/Sks7IcWx5npvGCZOnlzFjh0x6j1J6b3ZPs/xPQttbU248Zo9uOOe9AwA192wD21tzYC/vaImMQ0NyYlB6j2pCLXi+h7WDa4PwG44n68PwAsBfArAT4UQWwppxPh4AvE4f5QE0JIxRBf7oSUZs4AAZjICc64HSNaK7ZOQqmXN9T4eNzE2Rr0nClvvzWSuRAWNi6Zp+JH8fcyd/DBOj/9H6r9vfv99Kj1bPZGMUu9JxdBMs7qFSAjRC+A8gGYAd0sprwsoeyuA0wC+Z/0dBdAF4DoAvwvgZqvoMQDXSCm9PkPeOtsBzANAf383WloisMcc+++HP6y89OJxE4aRfj9jMS3NIp9WZkEF1IpF06PLxhOAkRFMMleZeGsnYjH4XCujnhBlbHe4RNzbnmjMac+5+RNIJnSYRvpgrEUS0FxtNhI6jIwykWgyrUyb3u1Txkj77MmEllZmbGkCeiSZZtk0EjpMU510YloFcDEj8fT3zJIRaGa68OYqc9OWo4hETSQTGk4+1oZdBxdxfOY4TCPd5qW52mOYhprIee6PKqNbN8BM6phYysiVqScw2OHkmzWSOmDo+MmI4yaV1OMwNRNXDXRa9UQAV3t+42tPYDG5gl+4elNq366OZmjW/VlKqHYOdhqpz/7srbtT3+mWjksAAOfmj6e+rz3dRwAAYwsXYSTTmxyNAbPxiwCAnfM64kn1fZmuoDuRK26ArmspF7tEHPjfk7enjj88HkdCi+MHw9Opff/90ud6+sZHHr0Ppuv7iphR6KaOp6eWAQCj8ytYNuNIwsBvX6ncUzUjAhjqO7WD6tj3EAA2tOrQDPW9D7a7XN/0BDTdxK5u5bbm7vPJeATjJzdgYO8INvQ4brCJBDzfeyRqpvrz0OwQjIQOmP7958SMuo+5+ur3hpcRNaPQoeOX9qz31JM6JxlBX1O6i6IeNby/nYw2t7c2e36DmWX0jN/pymrC57On/979xg2/Mour8bQyesSnzaaWtczRtksLGlcLLQMAWscr6uzptPyspd67tX7jxl7E4yaam3VoGrW+kbVe14H4qtL7xIZj0CLpN6getD4R17C0kMDmjr0AgJH542jvjECPaHlpvWma2DCWQCKpwTB1mGMX0dochaZpdaf1gKX3pwZw6eEEYk2qLmp9Y2p9PAE09ZRX62vBHPRqKNEGcljXpZS/4rN7HMD/CiG+DuAjAN4O4ACA3wHwV2EakkwCKyuugSICNDWp78cwTDz44LJHvNevj2LXrib/Mgl1+9f3mdi1NWmVAR58POrpHLnKGJEE1q3XsGNnNHWtRx5KeOoJXwZ44pEIzIwyvetMbNmhdpoGcPGpwZRY2rT0zKNn05RT5umNnh9qa+9CWpnhJ3s91+rsW8H6rQup9gw/nl5mJdmG5u45tG8ct+rRMHNyW+paLXFrsG2fwGqv9Y6aqaF19DLPoJmrzMmZNnT3J9A/uJpqz+LQLiBj4Ih2zaJ54EKqPcund3km89GuGTQNjKbKLA7tQiSRroRmxyTQMZcqs3BqB0xDx5ZlJ9LrfPM4xttPp8okz1yS1p43bxzEYwtnAaj7rJkaNk0dgmYtQCWte6mbk1jstusBzj85ANPQMB1VbVpKrEd77xL6t8xYn93EU482eb6vnv4k2q3os4YBPDjUp0R3xXkHqn8oiZ27nD527BGgZe5g6vi+VRNT0TEA0wCACHQMP+59sNu0sh3nWoZSn+vShcuhQcdmTbV5udXAicR53LX6pHVDNXReOJR6cGmy3o9z30OYGrrHDgGmDmPSEUytcwraupHU/XH3ecMAVheaMXuxGxt6nM9+8rF2z/3p7k9gcNuKVY+G2ZPbPL+d5u45tA2OpdrTMnpZ2gMZoPpqvG849dmPrh5FxNSxfNp5NzOzjy2f3oUxrSmtntaeeXRvmkyVGTu+ydNXV/tX0b9lNvW5Rp5YDyOjz3f0LqWVGX1q0PsQ0LuA3s3TqXuYb5lEMn1cbemeR+fGiVSbJ09s8Yi3u4xhAA8eiyBjeLbGVaOkZUhRVIXer66qSa2t99T6xtX61FhtAstnve//1rrWG0kTX/vPBSzMxQH8LFXXxPQZ/M77DqsyAVrftsHEK1/4T3j4/jN417vehVgsBkBHb1cTbrh8C9bVmdbbnyO5GgOQSP2bWt94Wm+XueYGlJVaWFG/B8DVAJYAbJRSzuQ4JaiuZgAnoN5/e1JKeWke56Ss7O9616/g6NFONDerThJoQbfIu8yi8wKPrxWnpz+vepKIZ5TJqCeLlf2BMSfoRaZlzkjq2N9zCABwfmEIQDhrmZ3eI9PK3hSJ5lXPVHzG057MgcyxSloDXgEWdHeZVICXZCRNvK8dPOxZUdd0M9Xmiwsq1Ug2y+XUinoI0TXdxwKqpwbN8WUrMEokkWrzpvbe1Gc/NTvlafORdZvTrmXznp88gWXE8dydTvCgmwY3pK61oU0Fk9nZe0mqb8TOHbNWwnUYDx5T9/jAbsQiSegaoHWpNC6L3ZtT4t904ZQ6N2JgZeMO1fx/+SQSWgxJLYLYjZekrr984AB0HXh66liqzV9++nzq+IWFOOKI4z3X7Uu7h3b/+dZpJVqGyzq+tyfm+b4+eN9Yysr+sr3qc27vaEpZ2SPWUpm7b8STZsrK7uY1B54HXddwalalmcu2oj4HZ4ja0bHb05/72vpS9/mh8ftKYmXf2NYduJKTOqeGrOy7utRDYrGrhQAQW5rninoNsJZ679b6f//3t+HEiSQOHmxBc7NGrW9grXevqG/ft4iIVbxetH716QcwcMX70NSUPqlbWFjA5H1/jI5BZSjIpvWTXYMY6H0VAKC1tTWtnhPf+C3oVxypK60HnBX15u3HocfUZJ1a35ha3/Ar6kKIg1CiDQD/XYxoA4CUckUI8S0AbwGwTwjRJqVczHWeTTSqo7VVRyzm/52o/cHfV15l/L6VjIA22epJGpllgrHL2IONH3rEQJNluIvGk75lItHcq0l61EgLihCNeNvnV4+WYWHTIwYQyXG9SBIm/NsatgxcZWw3J0M3oekqRYfSeWvlJcv90a3PpRvqPuua7imjRQzHrS4R9xwHnM9uRlezNlnPuIeL8EaKdV8r2qTanBk0KRYxgUgSBtS1tKj3s0VjWmoQaYr5fydRM46oGUcs4vSx1YyPr0cNxHXnM61o3s/v7j/JSJbPn/F9LZjez27qSUBXZcws786ZurdvZN4fd1/VdBN6JAk9atpGdgBI6xvZ6lHfV/H9WYskoeV4hVKLJBFpCq4ns/8A3kloJGoi83Nlks+YkE+ZMONYYJk81K5UZUh4qknvW1t1RKNmVr2n1gdTT1oPqPFd04Fok6339aX1S0tLWFry5nN3k03r3Yt9mfXEtHjmvLTmtR6w9F43AN3ZT60Ppl61vhLPA94RpLp4k2u7VLlUL7i2e8KcePRoS16dhNQ/0Siw59AConxoJ1AiNHjpSF5iRAjxpWr0PhbTcOWV1HuioN5nZ3HRO0FOHVv2N0LUOrbe67mMSISUgKoddoQQUQCvs/55GsD3S1T1Rtf2VNZSPpQ1TYs7D2sRxPQm3/1xw2uVvOfCHXnX+8j4QwCAvpaOHCW96C5LZlSvvqip/S3e/JGLiexWbJtMy2M+/OCsN0fJc7c6AUFaoiqK/LZOpz/Y+TVttzUAOD3nrWd6xVks+p9TF1PbP7enCwCwp8fJrWrnCQWAgTZl+b/93A9S+27Z+oLU9uom5bLeMjuZ2mf0qmA18yvOdfqanb6RNK3VhEWXUI86be7apgLAzMcdkb9pc3tq+2W7hOfzDc8/kdp+3aWXAwCmlv1/wk9NK9e6j97i5Db95pDaNzzrWJl3dgcPgW/Y/xLPvp1dzvt1tmscAEytenMRH58+kdq+cuBaz/HL112V2n5o/D4AwCb7BX/X9o9HHg5sZ7lp0p2+s2osB5bd3L4ndP2n546ltm03uFISb3X6ZmypPnJG1xMNpffU+jWjUK0Hwut9rWj9DVuelfUzaH2bYAzsBJBd642VgOyHF6fQtVB/Wj+5TK0HqPWVoppX1F8EYIO1/QkpZdEv0wshWq16AeAJKWWwrw8hhBBCyg31npA1oK2tBTfeeJln/43X7kVbm78xyE1rW3PWY23NVbsWSEjNUM0TddsNzgRwa67CQojNOY7rAD4MwDZhfSpsg06dWvUEdSGNiWEAo8PNnkATpDExDWDpwoAnWAohJC+qSu8Nw8TJk9R7oqhnvdc0DT/60T9ibu5/MTb9JYxNfwlzwx/Dj77+3rzynweVqbv86RamoVHvScWoSnOXEGIdgJda/7xdSnkqj9N+TwjxPACfA/ATAMehIrh2Q+VV/R3rLwA8DOAfw7ZrfDyBXbvMVNT3WsJ2k7vj/A9ylKxvdlrRyt3uYGH4yYhKX9IX6cXS6E5MNp/yDc7T0+y42H3p6dOpbT9vylXDOb8FMc/xlojXqn3NBsfl6DNPKDcxlzcZPvuI46b2iweUu92OLscNbDXpXPPBMdW+pogzHHx7+Fuu66s2DbZ3p/Y9ekK5bu1wue31wXHjuv/i/QCAm/7gt51GTZ1NbZqj6id9YLsT6XV9wvU556z2u9xEt7U7UeO/fvqbyGRLR59nn5sX7diY9nkyOTl70Xd/EO0xFVU1vqojPtOK5r5JaHqAK2AAbje4TJ65yXERc7vGbfX5zInMZLdF0NPsrd/tGlcqtnceyF2I1CXVqPfxuImxsSQ2b47WnN5T6xWl0vp1LZ0w4tGsel+XWt+Rv9Y/Pv8oLrt6Cx6919F3QK3It994fd1pPQCMJ5cRn+kqWO+p9SQMVTlRB/BaIDWKhQkqcxC5c6X+AMBrwkR7J4QQQkhZoN4TUqNomoYP/dfrcXXP9c7OqRG0tTVB07Qc8cIJIbmo1om67QY3B+C/8jznYwBGoazolwLoh4ryugTgHIB7AHwWwHdK8f5bo+IOolFIsJlyYAdgAYCYjxnbz/ra1dSa2vazuLdFHYvvPaOznuPP2uDZlYbbsu7G9qS8aUuv73H3dTN5fNKxWP/w3Fxqu9OKTDw058q36nLZvOOMar/71sRdLnzrWtQbMG2ulYJ9ruZdOaAsvKbpnHRpr9qetnLFAkBycEdqu2fCynG74ASgG4q5+s7u/QCA4SknsMg/n3Q+359d+wpry7mmOyCS3fcem3Qs4+cXnWfx7iYVyOjsvBOIZ2pZWZ+v3hDoNZuGX8CmcwvHfcu2RpuxqWMDzi6dybv+QvCzrLtxB3G6cdPNoes/N+//+eoFO9hMvQSaqQOo91UItV5x85ZOzz431Hql9e1w7u1QTxyACiRbj1q/qWMDzkSbkTAM6GV8H4JaXxz1ovVVOVGXUh4p4JxjAI7lLEgIIYSQqoB6TwghhPhTlRP1akXXtfKmaCM1g6YbgGaqv6Th0XUTmq7+EkJqG1vrqfcEoN6TdGy9B/sDqQCcqIfg6NEWxGIUbpuWiHIpW04GB2tZTrhyaSPuOd7R5B+wwrDcr/pa2n2P24FRisWdx9QPP3e4H56/AK3pIszzJp63zesH/6Idzr5vDl1Ibb9k50ZP2fl4cK7KyZXg434sTjiuYU19KtjNExP+35Od/fNJ1/F9/Y674KZ25R71neHzqX1Ty+q72dHluF4dWufcJztozrwrPUtkxdl+4OID6ppTjmv8T885rnUnZ725RN2ubzZbO/zdEm8/6825urNLXf/eC+dS+16z75bU9t4eFeSkNRrezTMSNbH94GRgrt27R+8EAGzpXJ+9EMoTwIU4pFwc24PdCknjEotpuPLKFk7ULRpZ628/q1y7taaLeG5sAJnJkqj1jaX1gKP3p+f8J+rU+uqgXrS+mtOzVR0UbeLG1Lh6ShyCJumEkNqCek/cUO+JG+o9qRTsaoQQQgghhBBCSBVB1/cQnDq1in37og1tad/U7nXlsd3ispHuDudlftXf3astlj0qKgAcWb8dQOnc4sLwczu2Y/5CHzo2TGLJCHZX83OBc/PYxIxney7utd5v63Rcz2I+Jra3ffzR1HZLt+NSNTyt3Nyu3NSV2tfd4vz0+1tVvQfXOflg26JOHz8xo9zQxpecnJ3n59V3enrGaWfc+F5q++KiKru7ezS1b3zZcRM7NrEKAJhccvpGU8S55oNjQ57P98i4tx99/JHh1PafXr8ttW1HBI67IuLu7enxnB+GJ6Z+lvWYaQAjZ9rQtO6ienfNh1xucM51gtNIZ8sNSwgpDYZh4uTJVezYEWtYvafWK8SubTANDfMX+mAa56EFxCGh1ivqWesBYGxhHqvjA2hap/n2B2o9KSVcUQ/B+HgCcZ9BlTQeRlLH8kwHjCR/QgRIJiJIzHbBTEZyFyaEVDXxuImxMeo9Udh6z/GdAICZpN6TysEV9Qbh6RllIRxo6w4sd3Fxxne/n3W9VnhqeiLw+DUb/APY2Lxi767U9mpSBU5Jugy+bdFm57jh5Cf1Y2TBG/jEDzvfKeBYp/d096f2PTHpWK+PrFfW8c//+hWpfa+71QnQ0temVisml51G//Nzrk1t//r3VOCTKzY4VvY7zjl5J7d1qj5zemY1tW9sUW3PLDuW96WEY0UfnVfH73FZ83f2OJb/246r76Sn3VlJGR1xAtQ8a6v3O/nvJ7zf47Zu597Pri56jvvl2s3GiZnHA4+7c5b60RJpwsb2PkSbkoHlimXZ1fn8LO4DbV2efdWOXw5bN4ZZXHTdXPUTUi9Q67NTiNa7aY02IRJVOkCtVzSi1m9s78NIBfSeWl/6+msRLgcSQgghhBBCCCFVBCfqhBBCCCGEEEJIFUHX9xDoulb3gWVyuctVI02R4G68mCPAzT0XnCAlXU3Bde3qGgAAaJqZ+q9YXrvvBs++Lx+/M7Xtdo2zeenOwdT2XaNj3vPfepVn33WDzr6pFSdP6Xuu2QEA6GpyAgW9fLfj1vetoREAwGrScUm69YWqrukVJx/q7WdHUtufO6bc4X7wi29O7btj9Iep7V/c0wsAWEyspPaNL3ldLu1ANQDw1sud409PB3+nh9Yp96dLerzBfT71xFBq++tD30xtv/7SHYF1+vHdYVWXZkRxWN8ETc/utvXwuAocc82Gg6Gvk41crm9PT3uD4uztucKzb2zpbGq7KeLN7bqa9A8C1dcy6NmXNL0uoRHN+7sK46Km+0Toy+UiV48ucKQy2Fpfz3pPrc9P64HS6T21XlHLWg8AL9q6D5puZtV7an061Pri4EQ9BEePtiAWq1/hJvmjRw307z0TGAGWNA6mnsCW/ReyRnwnhNQOsZiGK69sqeuJOskf6j1xE4ma1HtSMdjNQkDRJm4o2sQNRZuQ+oF6T9xQ74kb6j2pFFxRrzJmVsfzLtvdtC7wuB39tV45NnmuJPXkcoFzM7o4DQAYbOtJ7etsavOUm1h2opo+MXXRc7yrKTg/5hUDGzz77Bynmbx4x07Pvlz35rEJJ39nR8zr/uTmttNzAIDVZPCDyuOTjovahYXVgJL+rGt1Iq2+6gP3AQD+4k2X+5bd1e29f3ePrnj2XdITfM1f3LMptb2YUG3e0hGcC/e/jj8YXKmLRybC5/090Lc7tX1s8oTneLTIJwS361u+uF3kOmI9oc93u8i1RLy/l0Lwc5ED/F3vCKk2qPX5Q61XUOsV1Pr8oNbXB7QJheDUqVUYBq2qBDANDXPn+2EaXHUhAEwNE2e7UWRmEUJIFWAYJk6epN4ThaP3a90SUg2YBqj3pGI0hjmiRIyPJ7Brl4nm5tJPzsJY14s5p1ASprJARrXwQRtaosEW5WzMr/oHtbDZ1qFyjQ7PB+dO7Wl2rq8j+LtL+Iy8bVHvZx6dm0dyciPm2+bR1dLqOd7f4g784bWOz64GB0jxY3unk1v19Jz3M//tvU/4nvfMLcpC+tWTt6f2rXO12c4H68776s7fmTTVw+rTZ6ZT+743rKy/3a7fwnuvOZzafs7WpwAAXzj+ldS+mRXn3p6dV4FjOpuc83d0Od/T7732EAAgnsWyf3LGe/9ev98JQHPXedXWr55wrNwv3KEs6r+0d3Nqn2GW5kFcN2K4cFHDWPNFxPWlktQJ5Laoj8yr72xTR2/JrklIoxOPmxgbS2Lz5mjJ9Z5a76WqtX5xGmY8huTkRgxsXPXkzabWN5bWA8CTExdhXOzBSGwEiIb/fv2g1pNscEWdEEIIIYQQQgipIjhRJ4QQQgghhBBCqgi6vq8hlXRnK5bVpHKZWoU3b2IudK2873HbbnEA8OT0aGDZdh/XNje2+9Gztz4jte+OkbuKaB0w0OoE1Li4tAgAODfvuM/9+2N3pLavHczu1tQScdzF3K5x//Lw0wCArmYnQEtzJPieD88tprb39ATn5/zQsw8AAO4aHQksVywnfFzcxpf9XwLrbYn47re5bmMPAMctLr/rj6X9BYDL123xlHvu1m2p7WHLLdFMxGBYMYWadGdYtV0NAaefji7491G/vruxRLmOE0bjvEz3yIT6vR7qv26NW0KIglpfGqj11PpMKq31AGDHS4vp0VQ2AGp95WkUreeKegh0XWPKFqLQDUAz1V9CNMPqE+wPhNQ6ttZT7wmAlN5r1HsCUO9JReFEPQRHj7YgFqNwE0CLJBHZ9gS0SDJ3YVL3aJEk9K3sD4TUA7GYhiuvpN4Tha33kSizABDqPaksdH0PQQIrWK0ht5KBVsdt5+LS8Bq2pLzkcoELg9sNzubGTV63mjtG7kq5PD0+6c1VGdX9bWC2a9y5+bm82xTVlOtXNpemP77G2+Z/uN9xsXt6SrlkuV3kNrY77mSPTcwAABYTzkPI3KpzrR2d3muemFF1uqO7ji85kWjvv6DynG7qiLqOO2X/55iKjvtzBwZS+3b3OGVPzajIw6PzTo7WUVe+1ms2eV34jk/PevZdtcFp/PiSuuczq6WLyu7G7g9u3K6ahXB+UX032dziLi7Npv0FgMv6twbWOb7k/F7WtQ4W1b5q4djkfZ59tlscUP+ucaS0rBrL0BEDakTuqfXhCaP1gBrfqfWKRtd6wKv31PrK0IhazxV1QgghhBBCCCGkiuCKegiGh5LYc0m0Jt9b29C2I/Q5Z+aOl74ha8z3z84HHn92sIEyRTxhApObgL4R5Eh/6cveHv98s4vxVd/9ANDV5ORDfWjcCWxyad9eAMBbv3Nbat/mrubUdneTt7+6A7d05nDvvOO8CiwzNOu4eZXjJ3B+IX83sicnVICcff1O8J47z6+ktq/f2Ow5JxdPTHqDJ12+zluuNdqS2t7Xq/K0mgYwOdKNvk0zeHTKyefqzvtbjMXdbUUvJbbFPZe1vSPWU5brF4OfZT0b9W5xJ6XFMEwMnUpi23a95vSeWq8oldYnDAOmobn0Ppz7O7XeSy1rPeDo/UjzI4DVH6j15aPRtZ4r6iGYGDcR9warJI2IEQXme9Vf0vAkExEsTLUimQiOUEsIqX7icWBijHpPLKj3xIWt9+wPpBJwok4IIYQQQgghhFQRNAetIa3RjtT2UiLYTasQtEJ8sl1s7dyT2l4L17iBtoHchQB0NLUEHv+Xh5/K+5pPTx0DAOztPeB7fGJJuYbt792KsxdbsaV3K56YO+kpNx9fzvuauVjX6hPhxcUXngrO/fr87coN60tPO7l8N3c4K79fO+51tfrLG3alth8Y8+YAftUlKufocsJZcvrG0IXUth1Y5jlb+1L7FuOOu9ov71vvqVOedK5jB5Z5emwhte+PnrEptf2px6YAAIPtzhC2u9s7nN09GhzI580HD6e2j0087Dn+2SdPefa95eD+wDqzYbvG3TGy6Hv8igF/F8lKsBgPdrdzHx9o2xZQMjfDc08EHt/WeWng8TBucH40Su5VUj1Q64OpZq2/rH8HEqs6zl5shZ+aUOup9ZlQ6xXU+tLAFXVCCCGEEEIIIaSK4EQ9BLoORHjHCFRqDk0zQweWIfWJphuqT+g1ks+JEJKViE69Jw623kPj+E4cvWd/IJWAru8hOHQkgmiOqJnEyyU9R/MuO7LgdSMvlt84fElq28817g2Xet17bLe4TPpaegAAkaiJrQfGoevKNc7m0Ymh0O27pGdj4PHFhDc67PeHvS5VN25xoqJevaE3sM6vH59Jbds5Sz/1Yn8XwEfGlcvbrx0KdoN68Y4Nqe3lZHAUpvlV5S7odmV053t9IPBs4PUH1ecbnnOix9r5XgHHNW5dq/Okbed2dbvAuXnrZWr/vz3yUI6re4lETWzZf6GgDAA2P7uo7tkzN7V7juW6n4XSFm3LXSiDbwx9L/Q5Vw1ckruQhZ+73Hy89O7C9RgdlpSGaEzD5VdEai7i+1pTj1oPuPXeCRVPrVc0mtYDjt5PT+Ufvd4NtV5Brc8P2otDQNEmbnT+eoiLIl8TJYRUEdR74oZ6T9xQ70ml4Ip6lWAHmyk20EyxQWWyYQebCRNo5tLeK8rSlmK4eYvXgllKtnSogCrHZ0ZT+/Z0B+et9GNkYSrvstdtavXsu3vUe/6BPufn/uCo5zB2dG3JcoXzAICo5k09Nro4ltr+yYg3qI476IvhekvgpyNLnrJXbHAs7i/e3QUA2HjYf7VgsE39Xva5Dve1eL/bO8+fT227Le5+zK2qICrP2tzte/xH59TKxEPjQ4H1XNIT/H3fMeINWgP4W9dtWiJO8JmmSPCwPb2yEHjcTSFW9rWgI+YE4yqHxZ2QSkGtrwzUegW13gu1vnqh1nuhTSgEw0NJGAbfSSaAYQDjZzth8BUlAgCGBn1iC2BwFY6QWscwTAydot4TBfWepGHpvUm9JxWAE/UQTIybiJfn9RFSYxgJHfNTLTAS/AkRAEYU2nwfYNBJiZBaJx4HJsao90RBvSdpWHrP/kAqAZ8qSV48NvFIRa6zqd3J6VmqYDPHJs8FHrdzXgLAto5+z/Etnd7AKrOrjkvO9Io3L2UYFzjDdFZtdC27hXZqxQkq88p9jnvQhrYuT1m3O1yHTwDEd1zp5Dz93OPB+UeTZn6rSs/Y5LiznV9IBJQEbrBc+NxucSuJ8q5eXb1BBcCx3d7CYrvJ+QX8CcOGtvDinssFjhTJShlc7IJTPhNSlVDr03HnlZ5ZnUPETA8gRq2n1meDWl+F1KDW0xxECCGEEEIIIYRUETTdVBlxozgLXlOk8ZZxmvTSfWbb4n7DxuA0M62xTkS0KFpjnZhfnS7Z9W2Lu5GnZTsbmzu8wWBiOcxyx6dPBx7/5ukznn1H13emti8uOasA7lQqNn4BVF60Y5dnHwB8/kkVyCiSZdFhbElZRff1bvAvYGFb1t3Mx1dS2x2x5sDz26Le437fjWnGYGg6oq5AMGF5alqtOFzS4wQMmlxR48FgW3mG6pEFFSBoU/v6stRPCPGHWh+etdD6tlgX4qaGiFbaMZhar6g1rQccvS8Uaj0JA1fUQ6DrQIR3jADQdBOarv4SAs0AdEP9JYTUNBGdek8cUnqvUe8JUnrP5z9SCShDITh0JIKozztApPGIRoE9hxYQpU8KAaBFktC3PgEt4l1dIITUFtGYhsuvoN4Tha33epSGWOLoPfsDqQScZoRA18sn2rOrkyWpZzXp5Lcs1jWu2KAy91y4AwBwzYYbCzp/ZMEnAagPA619gcePrNud2n5w/ASA3O5u+aDnaebyCxpTiLvb1LK/KLRGvXlK/XjPj5z7+YkX7U9tv/uqXqtN/vVfOdAEAJhZddrsdoPz49A65QL+yHhhYZO7m9XNHV9y2uTOjbqhTV1/2hV0p6fZmyd02RUMpiXa5Dke1b1ug34ucPlgW9dHF2cKOt/GdoFzM7rofM7BttLnQ+2I9ZS8zmrnUMdla90EUsWUS++p9V6qXeuB/PSeWh+eWtR6QOk9tb42qHWt54o6IYQQQgghhBBSRXCiHoLhoSQMg++kEMAwgNHhZhj0fCIATEODMb4JpkFXWUJqHcMwMXSKek8Utt5zfCcA9Z5UFrq+h2Bi3MT2nUBz4d4yFaWUrnGV4r6LPy1r/aVygzs9fQ4zF7ZiqeMcIjHve8lNevBPa2/PgcDj27uWPfuGZn+Ud/suLoZ/V3o56biunZzx5pp83aWXe/YtxJ28rDtcKV5PzlwEADx7ixPV9LzLpcsmOn0h7/bZLnDZ+P/bu/MoR9L6zPffCEm5VVZWVi6171W90XsXNHRjMMxgYGAcjX3H+ADXXHN87xhjG2OMDZjxDBgD440DM5jx2PcewIzB9MVDE7bH7Rku2IC7G9M0Re9uauvq6loza8mqXCVF3D9CIYUUoX0LSc/nnKqMlF6FQlKkHsUbP73vuaXCnKljEaVvfmnclnWTFdezKTBXbXCdFTlJ3CsbMSbPA5U/3G9dFy7BC0pX6fyJKo174aZbKt7mmUs/jLz82slrKt9ZhFdsvzO//PfP/1Po+us3bgtddjVd2J/GU+Oh66vZO1G5dO2x+YdqXlevl8FJ+6XTMH/eZeu23sh7ZX1Yq7L+xJVnyaaTXD67kw3jhPJeWT9gWQ/5vGfqIpjlS/6V9cr6VtAZdREREREREZEY0Rn1LmrVoDK1WErX0VvYYmeXT3Ttvht16urJyMszrt973fk/ndOL0d2vM6OZmm7/jTe+IvLypy+GX599Gwo9oZtGJ0LXt9vBTTOhy/7sqdOhy96wfzLy9ku5HvWo3vavHDmaX/6J/eG5XYOD1gwlwq/zplT4+cimk1xOJNkwup4rTnN/a8E5cKv1uFfrXfc10ptei6ge9WqCPe6+YM97tR71KDdPv6Ryg9XwfYp0irI+vqpnfecp6+Ob9VDI+2Yp65X1tdAZdREREREREZEYic0Zdcuy9gDHamz+U7Ztf7nCum4D3gm8EtgKLACPAZ8DPm/bdkMjxJgmJNS1IYBhOBimi2FoNDnR/iBSj7jnfcJU3kuB3t8lyN8fMLU/SPvF5kC9VSzLegfwCSAVuHgW+Be5fz9jWdY9tm2HR7uo4ubbEiRTvTPKY8YJz9HYSbsndnbkfqLKucq5Y1PlUptyZXC+pOENDpJJZpk88Gx+7uxSI8lU5OWdYu3bX71RzsXV8J/CdZNbQpedX5rLL19aC98mWDa3a/00AE9fPJW/bMNQYWCVF0ztCN3+wkr9JUtLmdX8crU5UR88Ey4/DZbGvXJH+DHXykw6+f1hMlmY+/RSxHNbj2snpyte7w8c065yt05ppAROpF15n0wZ3HpHom1zqbeasj6sZVnvZove30sp6wcr6yGY94XtUNbXRllfv7j2F78dWF/h31eibmRZ1uuBT+GF9mHgHmAzcAPwn3LNXgV8ppGN6pXQls4od5Aug0n7g0hDlPcSe3p/lyDtD9IpcT2jvmrbdl1dbpZlJfF61g1gHni5bdv+iBTngF+xLGsReD/wRsuyPm3b9j+0cJtFRESkPsp7ERGRCHE9UG/E64ADueU/CIR20IeBXwAm8b7TVldwnzie5cC1yaZ72js5Amwz9k7szi8fW3i2pts0WwK3c32hTOq5K5VL0xopn3ro9KGK1+9aHx6BNIrrGCydnWZs83xDPavPXnmm4vVnli6FLpsZjS6A+e7ZcNnjbbPhdo/PH69l0wAwjcJ9zYyGn5NLa7Wvq1ZRc5p+9Whh7tUNw4VtevGWcOlbsDTup3a/LnT9Kzd7Pz/6g69G3v+pxYsAbFu3sY6t9gT3h3VDhdFno0r0kkblQqao0WelScOB+Vz7cFTYAdTWvHccl+PHsuzabTaV98r68nol66G5vFfWh/Vy1kNhf5jZfgX/6VPWx0QfZn1cS98bcU9g+S+iGti2vQzYuV9fa1lW5S+6lJifc0mnG9w66StONsHq5fU42UT1xtL3tD+IdFRb8z6dhvnzynvx6P1dgvz9IZvR/iDtF+vuHMuyhmzbrnWUlBfmfp62bft4hXYPAG8FxvC+y3ao1u0xDIOEkSRhDN531/we9w1DlXuhL66da+p+rgTOQEwOj1Vo2VgvezUnrniDqNTT2x5HJ68Wnscd41MV297QwPyYjhs+q7BpLLyeZy6dqbiepBndV1jocT8bff3oBgDOLV+uuP4ov3lr4TP+X564P3S939sO1fdBn5tOkjBMRhNDQHPz765lC3PltqPHfTYTnm826Hyy8lvumaXKZ79EGhGnvE8YSQzDHci8V9b3FmV9ee3IeoCZ5DRXq5wtr4WyXmoR1wP191uW9XFgo2VZGeBZ4O+BT9m2fai0sWVZBnBt7tcjVdZ9NLBc14G6iIiItJTyXkREJEJcS9+vBfwvjySB/cDPAY9YlvWxXFAHrQdGcsvR3XIFwet7uytVRESktynvRUREIsTpjLoDfA34EvBd4CRwFdgJvB74TWAT8D5gDfgPgdsGRg9gpcr9LJe5XVWf/cxX+Isvmt44s4BhgIHBJ//zmwFIp10cp/g2qVTxNC/ptMsY3ugfl1a90qtkyiVYFZTJgJMt/mxSaxuHQilLNmOEtieRLF5PrW3GE15J1dqqm7uv4seVyT32dRRGNrninm/gvkxcxyhpk8WIaLNrdCsAzy7MQSJTNMiLm02AU9IPlcgU/55NgFvSxsyA6XJueaHiejYOjWOYLobh4GRM3JL1XHZW8tsznhqJeFxm/nH5pWVOxuTs4kLu+tyfZiKbX8+LNs/iZM3Q9rxw1muzkk3nt9lNF+7ruYsLkCgux7516obQa3Fh7VzRc+g9LoN0onB/iaRT9HoFn5/0mpFrU/yaRj3PQ8YQhglZ13tNSp+f4cQoZtLhx/duCtyXiZu7Lyf33dHZ4cn8Nu+e2Eo2Y+A6BocXjgOwc3h36G/wueXThceeyc2Bm3vdS7fZNQNvkYHXovDYjfyyARgUlwk6GROnZH92HSO0ntJ93ii5r6jXPdhmNjNEOgOOA/PJwhdr/dfCL4FLZ2C19D0qSdHrNbkyVHh+EkOhNrOj1+fvy/fU8g8xk054/yl5XOXarAY2KpUyQu+ZjlP8vDbVZtUNtCl5f864OCXfXGikjVQV67z/zffdSzoNw8MGGMr6Qc766bExDMN733IdyKaLPzYr6wMrHoCsB3ANEwwXs+Q5VNYXDErWpzMulb9g0LzYHKjbtn0C+LGIqw4Dn7Qs617gH4G9eKVyn7Nt+2hE+2pDcjY1+eFq4IVPJAz8AZ4dx+XRH6yF3hBnZhLs3ZeMbJPOeicFJqczbN2dzrWBw4+PhHb6WtvM7lzLtzn65LpQm4mpNFt2rdTdpnTIjOkZ2LWn8NifeIzQYx+dHGXzruX8eo4/uT7UZmIqXdTmzDNbQtuzbuMiG7dfAsCNaJPNbMQYv0Ri9lSujUH2uWvBLXlDHL8EUydyG23A89eHw3v8Akw/n19P5sSBUBtj/SXMnQtMHvBGx710eHdom4c3XGHd1rn8Np97ZkvoYH5scpHJ7RcLbX64ldV08RCuiYnLpDadyW/P4rE9+QDzpTYsMLr5XL7N6rP7i0LFXw8bT+TbHH9yAjf0/GRYv3U+3+bCkR24rsFVs/A2tH5qlU07l/Jt1k4cyN/X0TPed7w2TGfYsis3KqtjkDj1gtD2XMgYTO+4nH/spa+paSRYP7UCua+vuY7B0vF9odc0ObHA8CbvpJnjwMmnp4rCct7MMjtjsG9PItfGLdoPEys3eOsfv4AzfTK0zatmYc8vfS1Kn+fhBFyZ28DktuLXtHTfyK4bYiiwnpVn94Ve0+TE5aI21V53x4FDT3uhu2YU3tY3TGfYumst1CZodirLvh3Z6Da5T82zUy77drmFNk+aRetZyG5ndPIqG7ZdyG/z+cPbQttcrs3qUOF4a3Y2yb59Q7n7cjl0aCUUzE21CWz37DTsyw147Tguhx4Pv4/V20aqi3ver625GIaRz3tlfeGxD1rWM7aAmXTYsO8El4/uUtajrJ9LpBidXMRMOvnHpawfvKz329z5EtrKcCMGiogry7L+NfBXuV/fb9v2f8xdPgH4I038pW3b/6bCOm4GHs39+k7btv9zlftch9fTz2c+928ZGUnlr4vqQa+ll91v04u97IX7iu5lD2qkl/3S0qWae9l99fSyp93AML4VetlHkkMV1zM9Vhh4JOqMuhnoAY3uZadKL7vfqLCekUSqYm9rsJe9NCxJZFnOFqY0qaeXfWpkOrDNXi/70xePhZ6fF0xfk2tTeE2/feqRyOf5lk3ba+plf+5qYdalYC976WOH4l52X7Ve9ofPPuktlOll3zA0WvQcVuplnx3dENpXo3rZ59cu1tzL7g8wU62X/aXjN9bcyx56jyrpZS9qE9HLHrWeZnvZb5g6WNietveyLwbatO+MujESKtmWOnQ675X1ynplvbLefw6V9RFtUNZHnlEfv6etWR+bM+o1uh+v1G0EuCNw+VVgFRjGK5erZHNgeb6eOx8eNrxSuDJSqeqvVbDN5uFCj+rF1cIIqskkkKzcgVKuTfAPKpF0Q73jpWptMzRU+bElIx77dO6l8EeHLXdfwdFfaxn4MpEsfvcxUoU3q6TfK2pCUXda7sKi6XYSWaqN0G0ksqFSMoALK4U3gKvpcPXlC6a2V9zmoOA8qkaqbDMAzIQDieh1ffdsYQTTF23eGLr+junrA7+FX4vNQ4X9MR9qwPMr4a+BjqW8mY6uZAuj8aaGyuyzuef51pk94atyPcKJFCTNYAGR9xh3T2zNX/LswmmMkscevB68fSx4Eu20ewz/8+xQYiTXhvxjv2vnDaFtevD0o/ltNlLlXxAjkWUoVdhhF5zLsAZTI4UKWzPphAYCMTLFz5ORyGIEXowDk5VPzZ648nx++aXjN+aX/U3ZRmCbHYr+DFI1/H0VtSnz5lC6ntuGrskvP7b8NED+bEM510zekl92AxXMplk8+q73nln5/ae+NhXew5NG1VSspY20RNfyXllfYXuU9UWU9QHK+uLbKeuB/s76VLL9/fGl+1Ws2badAfx3+snA5Q7wTO7X/VVWsy+w/FQ993/8WCbUkyODyXUMMufDpU4ymFzHYOXsJu0PIi3Szbx3HJdjR5X34vHzPnT2WgZSIe+7vSUyCHrqvIBlWUOAX5tzseTqh4GbgW2WZe3KfQcuyt25n0vUeaA+P5/NDTBTz61qs3E41yMd6G3vtmrzqNZq41DhpEezc69GSZrVzhMU+L3DY8nKwz9cTa9WvH5xNUPi8npWxk9G/hU9eaHQE1ra416vPRNbQpedWSycHPrWqfBzeuTS5YjLvp9ffv3e20PXn1uq/bVZWFsOXfbtU4/kl6+mM6Hrm/XPFy9UvOzVu28MXf+9c8/kl+/aekvo+ig3Te+oeP25pYXQZW42QWZhA0NTF4rm/I3azyaCJXYBm8aqnRz07Fof2J9ieBxx86h3NsfvbYfiHvVqVrLe9yJHErXPa1vVxQbmgx2bbN39S926mffpNMzNZdm2PdHyvFfWN64bWX81vQKZFInL62E8CWa66Hpl/WBlPRTyfn7xAmbKe/zKeo+yvvV66ow68Dq8cjeAR0quuy+w/KaoG1uWNQpYuV/vt2272oixIiIi0nnKexERGWixOVC3LGtnlet3AZ/M/bqGN61L0N8CR3LL77EsazNhH6AwX+unGtxUERERaZDyXkREpLo4lb5/37KsbwNfBb4HnAYyePOqvg74dcAfjvS3bds+Hryxbdtpy7LeBdjADPAty7J+DfgOXli/HXhXrvm9tm1/o50PplF+WVwpv0yu3PW+88sNlH10UMZZC102miwMyLGcuRq6/uTVcBlUu42nCvWO1Urjqvmzpw7nl996wwEAnrl4ulxzAG6KGIwlaMu66cBv9ZcYfu25Q/nlW6a3ha7ftb5QCumPMBt0arG0ErV6Cdy3Th0OXTZcppJx/4baSsOCgqVvUR487Q3+XGtZXDmbxibyy+VK4+LCdcFZMgrLy2COevNCA5hjbn45L9GaWUHrKYGL4pfFlaq5TK6RErigwMBPDRlp7uZ9buDzXlmvrAdlvbK+i5T1nphnfZwO1JPAPbl/5aSBD9m2/ZGoK23b/mvLsn4J+ARwDV6Il/oa8LZGNtA0i6ctkAFmON4UH4ZGExEwTAdMx/sZE64Lh14zxcJ3yofxxEvWuO3+C+GDdZH2inXe+1mvvBdAeS9F4pj30r/iFENvAz4OfBs4DlzBC+o54AHgo8B15ULbZ9v2p4E7gc8Cz+JN4zIHfAP4WeDVtm1Hd99UcettQzVNyyIDIJElu/3xyOlcZPAYCYd1e4+GppTpBteF7KJBes6oeJAOsPDQECsnDDJXvX9r5w3SV2DtnPcvcxWyi946RVoo1nmfShncfofyXnKU9xIQp7yX/me4+gRWkWVZ6/DmbeULf/HzjIxUmfwypmotk2vV6K9F973SWFnKDy+VG8i3PKfG/bnaSLBBwXK4TaMToeuPLoTL0R4+Gx4pNeglW9ZVvL5aOdyXngkPYHzjVPQIo5fWwiWIQVHlcEFR5XC+75wJz7sK8OIt3ldGn754vuK6Gy2H+8F57343jkSvwDTK90HuWj9d9jooP1JrlGrlcPXsZ7WOBBu0050s+r2Ws+iNmLgrzW3/80pdZ95Xhlu7DaXKlsU1WwbXIsbUW3WU10OU9S24b2V9iLLeo6wvaEXWl/PFDf8h8vI3Xf5Q+MIWlb4r69ub9XE6oy4iIk1wlqqfRW/EwoMpnIbqkERERESkEXH6jnrsHT+W4drrkphm750oGU9N1tQu6xYGCUkYze0ejfauNyOqFzzK1XTtM/VErdN1DK6enWJ88wX2TYR7Rx8++2zN6w/aMzHrbd/aYui6vzle/1mHWoylKh/YRfWyR/Wu+z3rQddvnM0vV+txr0e53nWf43olaZV628sJzhsb1eO+a/z6/PKJK/8IePtDdm4ziZmzGGbhTE/wuZsarnxm5cQVbz7eorlTYySb2yXNMSqeWW9373r+fgID0IwsdH4QKulfjuNy7GiG3XsSPZf3yvpizWY9FPJ+72aj6P0dlPW+Qcl6iM77bmd9uTPppdf/b78fnoM+aOgX/vea71NZ3xk6o16H+fks6fKVQTJAnKzJyuVxnKz+hATIJslemYRsd/s+2/lNpgf3TfHtzVMcevV6fWdd+lo6DXNzynvxKO+lSEzyXgaD3nVERPqEU/nrki2hMngRERGR9lN3kJTVytK4dpoZWV/3bR46U3tp1r/YsaPu9Zezecwr4zq2EF2Ot6e2ar663Ll5d1O3P9PsHJM5qYhuwemR8fCFwKVV70gwOMdt0LZ1G4HoOV6DzCbnHQuWvkX5ka0vBWBt1eVbJyqXZF1Y9Uocqw0645fFBb10eH+Z1sX7kZnsfpnuyKo3oFGnyuJEpDnKeo+y/lJLtqOfsx7gWyf+qWLbTmR9u6z9l/+WX65WBq+s7wydURcR6ROdmg9dpe8iIiIi7aUD9TqYpvdPxDDc/D8R0wRMF8zBmFdVpe/Sz/ysV94LKO+lhOkMVN5Ld8W3ximGbr1tiFSq+6Wl3eCXxlUri2vl6K/XTO4CiudY9S8LurhSuSSqWV8/WXhMfmmcmXSYvua50Aiwvjdftze//P8915oRXF+2bbZ6ow7ZPeGVqQVHyfVHX4XCCKxHLrdu9NcoS5nooJwYKj8H8smrhRL1HeNToetvmrq97u1IpgyGdj9Tdn/oFHPMZeLFKyx8Z6TN99PW1Yt0VSplcPsdqZ4b8b0VlPWeYBl8pbxX1g9W1gMYiWws8j7oTXPvB+CLMx+Lvv7Znwdg7d5vd2ybpDV0oF6HQQxtKS9Ob9LSfXHYHwwDbvvrMzhLBtklgwdvCH/YbdX9iPQz5b0ExeH9XeJD+4N0ig7UpS5X05cqXj+aKAwYspy92pL7jOpZD9o4sjG/3I4e95/c/4Ka215Nhx/zv9xZ2P6oHvefuuaOius8erk9c6r6rpt8YcXrn7wQHvCkmmCPezcsrHnzKlXqbQfYPBY+cxE8UzQ70rrBhUYSlbelVQwDEuu6/yHCH2gG2jPYzCDOpyrSKcr6ypT1HmV9WKeyPop/5rycoTf+SH456ux6PfOo+5T17aVvYNXh+LEMjtP9D8DSfY4DcyfX4+grSgI4jkvm3BZcJz5n4fwy+EoS49m61ztxV1ql79LXHMfl2FHlvXiU9xLkOkbs8l76l86o12F+Pks6DcPRs0jIAHEyJlcvjjC5aRFzSOk96DJpyF6ZJLFxHsx0tzcHKC6DZ+kirgvOsok56uRL140RB3fFJLtk8uDBWyqu766jF0is876frtJ36WfpNMzNZdm2PaG8F+W9FMsmY5f30r90oC5t45fGtaosrhZRpXEXVsL3f8fsxtBlAI+c925TTwlcPfzSuKmRmbasP8qe9TeELhtNRs9pGmXX+HTZ61aylUNq9/rwAC4AGae2M7lPXZyreH2qzd8jrVYad3ThSQAyawlGEluZHdvAgnO54jqdwNxmzc79Wk2hDD734XJdxIfMMQdz1GHihVdZeDh6v5i4K01qtvED9GZL4y6tngtfGDiA2rKqKBPpFmV9mLLe029ZD7B5bAPnEylSiSRmovw6O5n1jQiWwTO9pyXrVNa33uA9YhERKWIYcNuXn8FZNvNn3gHM7TswDJ1FFxEREek0HahLTZYzjfeUt2PQmVpE9a5XU673PW6mRir3ku+bqHyWIPh61tPjXio4aEqwxz3Yk9xNSaNCd3edgj3qrVKtx/0lW14GQPCcROLiqZZvB+TOvo+VnHlvfNcoK7LHvElnhjP55UHscRdpFWV9vCjra6Osjx9lfWtoMLk6mKb3T8QwXQzD1RQdAoBpevuCqf1BpOf5Wa+8F1DeSzE/7w1T4xVI+ymG6nDrbUOkUqr/FEgkXXa+YI5EUsEtYCYdNl/3PGZSwS3S61Ipg9vvUN6LR3kvQX7eGwnlvbTfYNQNtIjZ5sEsBkGwNG42ET34iO/EWnvnFG1WI2db/PKnueXz+ctmRsPze37j5KHQZbfPVp5jtpXOLB2vqd30aPRr+NyVMxVvl8yNwFJuoJmxVG1DLW8Ziy7lW8tmIi8v9YPzh/PLt84eqOk25RhNdnv6pW/VZDduyy9XK407krwEwP6Gt0pkMCnvm9NPWQ/1572y3tOPWQ/N5b2yXuqhM+oiIiIiIiIiMaID9TocP5bBcVT6JOA4MHdyPY4qnwRwHbh0aiOu9geRnuc4LseOKu/Fo7yXoELeq+pG2k+l73WYn8+STsNwbZU6ZSXWVkKXZYdGmltpGzQz+ms51UrggnYNeeVf1crivn3q8YrXbx3bUPN93jZ7a+iyqJEr02mXKxeGWT+7QHKoUNI1mgy/jovp5Yr3GSyNe2z++bLtvn++8Dy0sjSuWunb9nFvTtHnrxbmGS1XBufbuX4LUL4szh/1dChReAtKRkxIevP05sjbX1pdqnj//nqrlcVtWzeZXz6/VHke15Fk+TlBs5kEyxfXMT6zUHEdreaXxh2/UnmU2iMbovtk91/uzCfPM1zqyP1AYVTYQRkRVlovnYa5uSzbtieayntlfW3inPVZN0MmnQjlvbLeM2hZD4W8T61PYJi1ld43S1kfcV8DkvU6oy4iIiIiIiISI/3dDdFihuOQWFshETEHYrP8nvc49rZ3m9/bXuoLx/9HTbc/vXQ5v+z3uEf1ppczObwpvzy/4g/o0bo5O5v1pWeORlxauOyefTsq3t7vRa8m2G4lW7mX27ewVjjDMDk8VtNtet21G5sfqKZTonrfL6wU/l64+ljo+heN39zOTRLpusTaCoaTakveK+vLi2fWx4eyPl72T+4lNdQbX49R1vcunVEXERERERERiREdqNfBNCHiqzUygAzTwTBdDFOjywiYpothuphmb/Sui0h5ZkJ5LwXKewny895Q3ksHqPS9DrffBKlke0d5jBp8Bmovk0ssRQ9mFT0DZdh5s7Yyp15VTxlcJYmky44bzjY9d3Y9XrR5T1vW6w8cU60s7sjlY6HLto9HDwDzxHy4bTXBeVajBpupx6bRiZraOXUM016xbcJh9tqTMADB/d2IErkoO8d3tnlLqhiu9V1PpFgqaXDwlvbOpa6sb69WZT10Pu+V9bXreNZDPu+Tya01r7MXKevjQWfU69DO0Jbe08mDdIk/9a6L9A/lvQQp7yVIeS+dorceERERERERkRhR6Xsdjj3nct1+tys97ZFlcpm1lt/PrFMYrbNVpXH1zKfaK1wHLpzawNS2y033tAdHS929PvxcbRqrrbSrXaLK4HzPXz2bX64232nw+qhRYa+mVyvefmZkPHI5DlzHYOHMRia2XGx4HXO5UYZnRrbVfJtqc6qKSP0cx+Xosy57dnb+zLqyPn5alffKek8vZz0U8n5mnzeWRb2U9VIPnVGvw9w8pNPd3gqJg2wmweLFUbIZjTYk4GRMli+N42T0lirS69JpOK+8lxzlvQT5eZ/N6Osx0n46oy5lVetxn1s5XdN65ii0u2Hdjc1vWJ12jhd6rh+ffxyAm6Zvamhdo0mvd/dKoGc8ynSgp3Q6Ymwgfzta4S3Xe/N2//nThxu6/YbcQBxX05datUk1q9az3m4jyaGK19czAE0vK5pPtUWeu/pcfrmTg81sYbJj9yXSD5T1YX7WL2euVmynrK+Nsj4elPW9R6d/RERERERERGJEB+oiIiIiIiIiMaLS9zqYJjQ55WPPqrX0rZqnFp/IL7ejNC5Y+lZJsBwtqjRuKRM9R61vbGiMZCLB2NAYiWRhmo6xZPcGg3n7LXfW3HYpXfnxBW0e2wjA2aXGB0oDOLgp/Hr/YO7pptbZiKFE69/2DNPFMB0M0+Xc0qn85ZvGah8s5vClI95PjtR9/1vWTdd9GxGJZiYGN++V9cVGk+NkMUJ5r6wvr5+zHgp5P79yGjPjlcwr66VddKBeh9tvglRSg0cIJJIue2+63NCIn9J/zKTDpmuf19yqIn0glTQ4eIvmUheP8l6ClPfSSXrbqYNCW4IU2hKk0BbpH8p7CVLeS5DyXjpFZ9Sla/zSuGplcctm9GicP7HvtQA8fO6fmtqOYGncvg27mlpXrYIleM2OCrt+qDNz125bN1vl+sKyP2JuNbfOXJ9fbmVp3MaRydBli+nKo/dGMQOT5tY6KuyWsR1130+zzizOF+5/AEvjBmX0V5FepKwP338jlPVhyvrBMohZrz7COhx7zsVx1Ism4Dhw7rlRnMGY0UOqcB2Dy6emcB2dhRPpdY7jcvRZ5b14lPcS5Oe99gfpBJ1Rr8PcPOzbBcPD3d6S/lKuFz3OshmDhQvDbNy8gjnU+g9zL95yd923mVs5Vb1RzliqMBBOtcFmEkZn3iZ21Dg4UNC6VG29+cG2jfS2V+NkTNwrM8zsWgd098P9/rHrqzcqcWHlOy3fjtnRQm//SjY8N/NIYix0WT0GsWddOiOdhvPzsH2L8r6VejHrob15r6yvTVyyHmBmaAeXr4ySzSy35fNfrZT1g0Fn1EVERERERERiRAfqIiIiIiIiIjGi0nfpeS/cVJhTtNnBZrohONjMulT35mYdFMESumqlcTeOVi4tO49XSphOGlxpftO65kVTL84vf/dCc6VxwTK4SqJK5ILKlcsNehmcyKBS1ks92pH1AOm15rarm5T1vUdn1OtgmmAmur0VEgemCYbhasoWAbypWgxTU7aI9AMzobyXAuW9BCnvpZN0Rr0Ot98EqaRGdRZIJF323nRZwS0AJJNwzc1L2h9E+kAqaXDwFs2lLh7lvQQp76WTdKBeB4V2a+1Zf0PL11lrady1Gw9UXE/GqV7b5L9JDwfKdrJuJtSu2kiqrSqBmxnZll+uNirstpXgNlUegfVYsvJIsc2YXznXtnXXolq5Wz26GdovnX1py9ZVT2lcraVvjShbLpeYbNt9iviU963T61kP3vu7sr5x/ZT10L28V9YPntgcqFuWlQB+FHg1cBdwPbARWAGeA74J/Ffbtg9VWc9xYHcNd/lHtm3/UhObLCIiInVS3ouIiFQXmwN14LvA7RGXp4AX5P79vGVZvw+8z7btjn855NhzLtftd9XT3iOq9aRXkjSH8stRPe4pY4yzz6XYvDNddV1RPe9Bwd7EZuebjFLco94ZW1JbQpedSZ/p+Ha02yzeGRLHgcdPrrB5x1pflcP5Pe7Hlw93eUukz8Q67x3H5eizLnt26sx6L2hn1g8nxnAc8nlf6f1dWe/p56wHOOsscPbkUF/lvbI+vuK0i00ALvB14O3ALcAMXm/52/B62Q3gN4AP1rC+PwfWV/j37no3cG4e0tWPy2QAZNIGl+aTZNL6ECeQzsDl+STZjPYHkRrEOu/TaTivvJcc5b0EZTOG8l46Jk5n1P8S+Kxt20+VXD4PfNayrL8DvgdsBd5nWdanbds+W2F9Gdu2K8/HICIiIp2mvBcREakiNgfqtm2/t8r1py3L+kPgD4AhvO+2fb4T2yZw7WS4SvGZS9/vwpZ0XrA0zh8sZq1yhVvDogbVaKRErpUlcHszXslX1EAze0drLzmMKpHrxgAze5I7On6f7dLKgWVEOkV5H1/Kek+1geGapaxvP2W99IM4lb7X4vHA8vaubYWIiIi0k/JeREQGWq8dqG8OLNc0j4RlWUnLslryOE0TzEQr1iS9zky4GKaLmej4mIYSQ6YJhgmGqf1BpEW6lvdmQnkvBcp7CTJMV3kvHROb0vcavTGw/I9V2r7asqwTwA4Ay7LOAQ8CnwH+qpFRZG+/CVLJGA0ekSyUaZGpbS7QarJjtc/zGVUiV4+17EpTt++mZBKuvWWlIyN+lp1jMqcdo8dG8cviAFi/qSXrvHH9LfnlJ648WrHt9Ejl+6z2PLVTKgl335zENCc4X+WYYjYwB27R5VuiLwcg26bvWvSg41lv3uA9iQrPl/SDruV9Kmlw8JYYjfiurO+qTuW9st4T56wH2JqcYPPNMF9lf1DWN0dZ7+mZM+qWZf0Y8Prcr9+ybfsHVW6yFdiJN3Ksgdc7/wbgq8DfWJY1We82xCa0JRb6ZVoOaQ3tDyKtobyXuNH7uwRpf5BO6Ykz6pZl7aAwkMwq8MsVmj8BfBr4JnACOI837cvLgfcBtwH/CvjvlmW9yrZtp9bt+NX33lcU3kZu8VMf/zcApDMuTrb4NqlUceC3rU3WO6sXfPNIZ7z5nYvWU6ZNdnS9d8GqG76vtBteTwvapLMuyZI2mYj1NNomvVb8QSuRdIseeyYDrlNfmywGyVS4jZMtXk+1NkOJ4dw2B9qkw69XLW2c1BKmCRPJScB7nlfHAl/pvHSKVMnj8l734m1uqE0L940Jc3NRm9LXIpsxQusJthlJjIXarGaXMZMOplkYWKaev4tG2syOFXp/ox6747j1Pz9OotAm1+Peqb9Tb5sJvRalfzv+89ypNgTKktv9mtbbRhoXh7xX1lfYHmV9yfYo6+tto6wPrEdZX7VNnLM+nfFGO22n2B+oW5a1Hq9X3P/L/pVKveu2bb8+4uLTwJcsy/oK8GXgx4FXAm8G/lut27K8AgkTr78eSCRgKOUtO47LocfDL+rsNOzb3YE2boLZKZd9O51cGzj0ZAKnpOCvXBs3USinm5lJsHdfMn9fj/5gLbQ9rWjjuDA9A7v2FB7XE4+FH3ujbdYyxWViG6YzbNm1mn/sR59Yh1uynmptDEwmpzNs3pnm7HMpZrenOfz4SOjNZXI6w9bd6fx6StuYhsnGGZcdewqvxdOPJULbU38bl0M/WC1+ftbGmN2YYd+2wuM69MN14X2s7jYuhx7LhtvMGOzbk6i7zXJ2vKjNxFSaLbtW8ttz9Ml1oee5WpusO8r6qRVmdlwtPK4nyvx97aLhNi6wvAy7tsP+6/w2Ea8FMDuTYN++VONtXDfwHBb+vg49linzPDffJrFhvOg5PPn0VOiDXenz3O42hfdDOPSkGX5cUy77drkdbyONi0ver656f9Nm7vy8sn5ws37r7jSOA2dOpFi4lFDWB9sMYNaD996QMOHgi7wDcWX9YGa93+bOu2grw3Xj++HCsqwR4G+BV+Qu+pBt2x9scp2bgOPAKPB3tm2/tkr7dcBVgHe/663cfnOK4Vz3Scd60Gtpk023ppc96r7a1su+0tZe9strl4ratKKX3SRJMuWSSRsceWKE/TeuYCbcrvay+22CvexFbdrRy5773lor940za8XTt9Tbyx7VplO97Ktr8MQ/w203wuhk4UNIW/52utDL/nzmSOx62felAmczYtbLDmCs+0nVTteh23kfzPo//fRbOXI8xY3XwfCQsn6Qs940YW3Vy/s9162QKDm9pawfrKwHL++ffAZuP7iO4WGjrseurK+/TZyzPp2BoQ3tzfrYnlG3LGsI+O8UQvv3mg1tANu2z1mW9QDwL4E76rmtaXqh7f9hlkoljarPaNNtFrw3uFTUdSVjUKTGJkNNsmMTBDPfzP2rtEmpVPV9sJE2w4wCxQPNJGtYT6U2C+kLhfurUo+STILXN1p7m4QRbp9MAska1hNoMxQxmnAy8kWtv03otdicK427eLLQpobHHmoTMahMK/eNVJXtSSRdqg3CXNomxUj4vmp412ukjWmGD9ba8reTLfP+06a/UwAz4kNTtf2nk23a9Zo22kbqE7e8H05VzntlfX1t+iXrE0kYGlbW17w9Zdr0etZD4esw+TbK+o60iVvWd+LzQCy/VWdZVhK4F++7ZQCfsG37vS28i7O5n5MtXKeIiIjUQXkvIiISLXbnBizLSgBfAO7JXfRp27Z/tcV3szX382KL19taC+eqt6lk6VL4sjqmZOmUoUShJzTu07icXjwBwHRyd5e3pAEbd0RfHuh972v+FEctmt4oJJGE4eH2rLv0fnwDPJWLP3ULaPqWXqW8z1HWx46f9VvX7eryljRAWe/9bFfWD6+DxGp71h2krAeU9bE6o25Zlgl8Dvip3EX/N/BLLb6PLcDduV8fqee2pglmtXocGQhmwsUwXcxEfMd4kM7xy9418rdIbeKc92ZCeS8FynsJUt5LJ8VmN7MsywD+BHhL7qLPAf/Wtu2a3xlz07pUun4E+Azgn/b6fIXmIbfflPtOmQy8ZBKuvWUl9702GXSpJBy8Y7im74WJDLq4530qaXDwFuW9eJT3EpRKGcp76Zg4ve18Avi53PJ9wDuBdZZllWu/Ztt2aV3Lp3I96PcCDwHHgCUK86q+B3hBru3/Ar5YzwYGR0tsiWbL3fpQVGnc3Mqpcs3rXmcjzi2F798viytVrUyu2W2J4o8A27ByZXI5a2758rGhbNmranImfaa5FTQiWWXkoXrK5UYKI7zHptdzAK0MF17TkdU2lTtKK32CQcp7ZX2Isr5+yvo6tSnroQ3HA1KTQcz6OB2ovzOw/AbgcpX2HwI+GHH5i3P/KrkX+Ll6eu9FRESkJZT3IiIiVcTpQL0VPgp8Hy+4D+D1rE/gzY16AngA+DPbth9oZOXHnnO5br+rnjTBdQwWzmxkYstFDFOf/wad47gcP55hz56k3h9EOqNtee84LkefddmzU2fORHkvxZT30kmxOVC3bbvpvd227X8C/qkFmxNp7uwa+6YuM5zSG3UnNFsG5wuOLlutHC2q9C2KkzFZvjTO+MxlEoGasHJlcr7dE9fWtP5esVZlsKVmy+WatSW1pf4bVSuXi5BOw/m5LNu3Jzsy8HuePypsm0aEPb58uC3rbYUtY3siLw+WxvkGpUSuV8Q979OX5jl/diPbx68o7zsgzlkP0XmvrC82KFkPXcp7ZX3IoGS9vlYpIiIiIiIiEiOxOaMunZGYK/QCZ2d6cH7QJkXN3Xpp9ULH7v/ZhWeA5nvbmx5UpkOq9cKT7shmtI8/GE1GZ906pVzveiVRPe/V9GPPvAwOZb2yvpMGJusBSHVtMwaJst6jM+oiIiIiIiIiMaID9TqYhvdPxDBdDNPRwDICgGkW/olIb/OzXnkvoLyXYsp76SSVvtfh9gMLpJJ6ytrp1OLRbm9CTcykw6Zrn284uDNOvEttOmVqpDAAzIWV1s2z2tDAMk1IpQwO3jHUvRFgE4H3pTYNNtNNjZTANauRErqg0RZth3ReKuly8JoFfRBvo17Jemgu75X1nn7JevDzfrg7eV9n1ruuy9LSav4nwOjoEMvLa4yNeSPhLS2tsmisYBje4xkdG8ovd5qyPkxHnXVQaEuQetclSNO0iPQP5b0EKe8lqBfy3nVdXvaK9/DAg0/WdbuDL9nHvfe/q2sH61JMB+oiIiIiIiIx550dX4FsNn+m3D9LDoUz5q7r1n2QDvC9h44yP3eF6Zn1OliPAR2o1+HYmVGu25lWT7vgOgYLZzYyseViV3raL6ydyy9PDW1q+frX3M6U651ZOt7Q7YbM8By53SiB8zmOy/GjafbsSfZET7tv5Xc+VfF6/xk982uvbf/GlN53F0rgRAAcB46eHmXP5mXlvXQ175X18cp6yOX98UxX8t51XV728nfxwAP1H4DX484DH+jYmXVlfWWKoDrMXU6RzvbOh3BpHydjsnxpHCejPyGBdBrOz2VJ9/oUNCJCOmtwXnkvOcp7Cepm3i8trbT9IN33vYeOsrykMRa6TWfUB9igz7PaDdvH97R8nX6Pe7O97cGe+/HUZFPrarc1JzxHbtc5jjfX6vBwVzej2lnyRmz5w/vzy+0+u67edZHWUtZ3nrK+NWKZ9Zk1L+87yC93X1zs7POxuLiaL61v9WBzyvra6EBdREREREQkZjpV7h7lxdd8IHSZBpvrLNXxiIiIiIiIxEwny91roZL4ztIZ9TqYhvdPxDBdDNPp2SlbgqVvUa6mL+WX414a5zuxejy/vGt4T0fv2zQL/7ph5UOf6Nh9BcvgfY2Uw6vsTeLKz3rlvUBv572yvvU6mfeu63a83L0WS0urNZfAK+ubozPqdbj9wAKpZO+9UUvrmUmHTdc+j5ns7PeUJJ5SKYODtyVIpfTJXqTXpZIuB69R3otHeS9Bncp7v+R9y9Y3tvV+GnHngQ/wxtd+AtfVe2S76Yx6HTRNiwT1Yu+6tE8vTcsmIpUp7xvjz+scXB4b8wbY9JcNw2BpsfYzcnGgvJegduZ9cOC4OJW8l/LnWx8bG+6pv+VeowN1AQqjwnZjRNhTi0c7fp/9qFqJW6P80rhWlsU1OqeqFOtkyXsl1UaFV+mbSDy0M+td1+VHX/5uHqzx4OKFL9nPl//u1/QBv07K+v7VzYHjGnHnAW+wOX+Aua3r9nZ5i/qP+ozrcOzMaKdnZJCYch2Dy6emcB19wBBwHJejx7M4js66iPQ6x4Gjp5X39VpaWq35IB3g4YeO9MSgVMp7CWpn3sdt4LhaaYC59tEZ9TrMXU6xb1uG4T4ugWr3fKtrv/nx0GUzgeW5D7yh5fdZzU3zhdfz8enagtjJmCxfGmd85jKJoWzFtu2YT7UbenHQmU5Jp+H8nMv2rTBsVgmr5FBT9xWXs+jl5M+u/9bbu7shIg1KZw3OX06xfWalb/O+maz3S9qDZe6jo0PMzy/UvR31DErVrEayHmrPe2X9YCjk/RrDwxX2oyazvtdsHtvd7U3oSzpQFxEREZGq6i1vr+bg/veqBF4kp5cHZ+vlbY8zlb6LiIiISFX1lrfXoldK4EXaza9Q6UW9vO1xpjPqUlYjpXFRpe31mPnIffnldpbB7zg1H3l5sDQuSj3lclJMg8rkZPSBVETiozTry5W2Ly+vte2s2eLiilcGP1oog29FSbyyvvOU9TkNZP3YUO+eP3VdF9d1VRnTYjpQr4NpeP9EDNPFMB1N2SKAN5WT/09Eepuf9YOY960uba/VCw+8L3xZTErilfcSpLyPtnfHW7nr7hv42t//btf/ZvuJdrM63H5ggVRSb9QCZtJh07XPYyY1LLBAKmVw8LYEqZTCSaTXpZIuB68ZrLx3XZfFxVXOn7/c8YP0ch5+6Ajzc1e6/t1X5b0EtTPve718/MEHnur5xxA3OqNeh0HuPfNL45Y//uWO3WewDN7XbDl8uTK4WhWXy9X24eHieFN3GUv+qLBTS5mab7OLwhNxInW11ZtU5Ez6TOiyLaktbb1PcxBPv1Xy4T8uLGsEeOkxg5T3ruvysh//XR747pFub0pIo4PNtTbroZa8V9Z7+j3roX15Pzra+yPFd7tjrd8MUBSJiIiISNDS0losD9J9GmxOBsXycu/v5zqj3lo6o16HY2dGuW5neqB62n2dPJNeSSODzTXbsx7FcQ2OX9zIno0XMY3KvYcbnz2WX764e2/Lt2Vq/kLosgvTUy2/n6L7rKN3PcqutNfj3sre9iFzpOL17ex5dxyX4ycc9uwydWZdpMc5Dhw9PcqezcsDmfdxVMtgc+3Ieqg975X1Yf2W9aC8l87SgXod5i6n2Lctw7AGFBl46azJ3OI42ycuM5zMdntzpMvSaTg/57J9KwwPd3trRKQZ6azB+cspts+sDETe90KpajcHm1PeS1A7874fSt/74THEifqKRURERAbUUo+W26okXvpNP5S+98NjiBOdUZeeFTXY3MjbXtb5DamDXxrXSFlcVNlbLW3bXRrXDL8sDuorjatW+larqBK5oE4MSiMi0k1jPXwGbPvpC6wbi9/2K+uLKetrMzbW+yV5/fAY4kRn1EVERESk5/RC2b6ISKN0oF4H0/D+iZiGi2m6VQeSk8FgmoV/ItLb/Kzv97zPz50+f6Xbm9KwpZV02+9DeS9B7cz7fhgxvR8eQ5yo9L0Otx9YIJXUUyaQSjjcse1kw8FdbnTYekreauWvs9myuGZHf60mWBrnOzPc3vusJlguV6k0LpUyOHhbQiPAivSBVNLl4DULfd3xFue50+sxOtz+z2TN5L2yPqyXsx7am/f9UDauweRaq49jqPX6ObSlfupdlyAdpIv0j37P+7jPnV6r5dXOHOAp7yWoXXnf7hkMOkGDybWWTg9LWXGZO73ftaNnvZ77qdb73u7edanPyAfekV9e+cinu7glIiJSK2W9iNSrz/uMW+vYmVEcp9tbIXHguAZHL0zhuL3f+ynNcxyXo8ezOI7Ouoj0OseBo6f7O+/7ZRC2TpS+K+8lqJ15PzY2zEvvfkHL19tJKn1vLR2o12Hucop0Vm/UAumsydziOOms/oQE0mk4P+eSbv+4RiLSZumswfk+z/tenTu9VCdK35X3EtTOvDcMg29+/fe4cuEvOfLP/0/r76ADVPreWip9FxlwkWVyoxOd3xAREemIXp47PWhsJNXtTegZyvreYBgG69aNMOtu6PamNKQfBsSLE3UPioiIiIiIiMSIDtRFREREBki/lL53Yh51kW7o1fnIe3W740oH6nUwDe+fiGm4mKarKVsE8KZy8v+JSG/zs76f8360T0rGOzGYnPJegjqV9706KFuvbndc6WNlHW4/sEAqqTdqgVTC4Y5tJ0kl+nhYYKlZKmVw8LYEqVQff7IXGRCppMvBa/o775f75Ex0JwaTU95LUKfyvlcHZevV7Y4rHajXQWfLJEi96xJk9vPpN5EBo7yXIOW9BCnvpVMURSIiIiIDRKXvIvHWqyXkvbrdcaUD9TocOzOKo8onARzX4OiFKRxXvaoCjuNy9HgWx9FZF5Fe5zhw9HR/571K32unvJegTuV9r5aQ9+p2x5UO1OswdzlFOqs3aoF01mRucZx0Vn9CAuk0nJ9zSffHZ1+RgZbOGpzv87zXGfXaKe8lqFN536tnpnt1u+NK7zoiIiIiA0Rn1EXirVfPTPfqdsdVX3+5x7KsHwXeAdwNbAIuAN8D/sS2bbub2yYiIiKtobwXEZF+07dn1C3L+ijwDeCNwA5gCNgCvB74qmVZf2ZZVt8+fhERkUGgvK+fSt9F4q1XS8h7dbvjqi+Dy7KsdwDvBwzgYeBVeD3stwNfyDX7GeBj9azXNLx/IqbhYpqupmwRwJvKyf8nIp3Tjrz3s76f816l77VT3ktQp/K+V0vIe3W746rvuiIty9oIfCT36w+BV9i2vZj7/TzwFsuyDOBNwLsty/pT27YP17Lu2w8skEr23VMmDUglHO7YdlLBLQCkUgYHb0toblWRDmpX3qeSLgevWejrjrexPjnrNdaBygDlvQR1Ku/Hxobbuv526dXtjqt+jKGfASZzy/8+ENpBvwFk8ToqfqHWFb/nI99seuOkP/zyHzzKr/zhD7q9GRITv/SuL/HOd9/b7c0QGTRtyft3f/ibvPOD32jJBkrvU95LkPK+MsPQCYtW6scD9XtyP1eBr0Q1sG37JPCPuV/f0IFtEhERkdZS3jdoqU/KU5f6pIRfpNTS0mq3N0FioB8P1F+Y+/mIbduV9vIHcj/3WZY1WcuK0xkDx2lm06SfrGUTOK56DsWzlnZxHJVG5v3W2wv/RNqjPXnvwlq6v/Neg8nVR3kvQZ3I+14clO2uu29Q6XuL9dWBumVZW4GJ3K9HqjQ/Gli+oZb1Zx2DdFZv1AKuC1nHJJ3tqz8haZDrQjYLaZ3cEemIdua9S//nvQaTq53yXoI6lfe9Nijbkz/8U77297+r0vcW67eR0WYDy2ertA1eP1PLyi9dvsqvfujr+PugkfvvU7/9SiB3xr2kgy2VcIsGpOnFNplECsco3lWS2VVM14ltm3TWDPV+pxJO0WAwzbQJat19GThORJvg69XJNhnCbZKl+0972wRlIypaEiXraWcbJ+EWDR6TTrv5NkNDwziu38Me3Sb/uFKUXU+9bYIyZoqsmShuk10r/tvpZJu0S7bK4+rXNtIRbcv7c/NLgJHP+37M+nQmQTKZJJMpHOiOjo4yNFR8Fm9xcTHWbTJOgtVMyXtRC7M+2CbjmFDSL6Csb02boDhnPXh5v7pWXMDTjqxPp2HDhg2x/xv026RSo6ytAbixz+hWtmn3kXS/HaiPB5ZXqrRdLnO7soaHR1hZK7xACdMllXRZWc3gOPD9wxOhsJzZkGbvFu+ueq3NigOOYfLE7pfjGMVBOL3wPDvOPuGtJ05t1rI4rsGh01tDYTA9dpW9Uxe99TTZxnFdXNdlaTXLU+ebuy/D33+OT4cCfmb9Cns3XfXW08k2ZPj+P4+G943JLHu3rRXW0+Y2Y3sy+TZHnxyHkjfN9VMZNu9Y6UibqzOr7N2dyLVx+f6j2XygXnf9LTgOHDm2xoF90W3yj2vaKLueettszXrLjmHy+M6X4pilfxen2Dn3VHfaPLwa2ubpaYOde8z843r8B07ftfH99Jstw7ZtfReifdqW90NDIxiGkc/7fsz6THaY17zmNdx///0AJJNJfvEXf5FUSQ/go48+Gus2hy/v4eiVkveiFmb93qmLOK73xD1ycpbiFsr6Qct68PL+3LlzrKykcV2jbVmfySZ5xzveEfu/Qb/N8cMpnjvudWDEOaNb3eYPf99aByy1K+8N1+2fzxGWZd1NYdCY37Ft+7cqtH0V8L9yv77Ztu0vlmk3C5xr6YaKiEi/Gy8zCrm0QKvzXlkvIiINalve99sXbq4GlkertA1ef7VsKxEREYkb5b2IiPS1fit9nwssb6rSdnNgeb7KOv11LTWyUSIiMnCUF+3V6rxX1ouISCPalhl9daBu2/Ypy7IW8EaC3V+l+b7A8lMV1ukC51uweSIiItICrc57Zb2IiMRNv5W+A3wv9/MOy7IqTeZ3d+7nUdu2L7Z5m0RERKS1lPciItK3+vFA/b7czxHgDVENLMvaDvxISXsRERHpHfflfirvRUSk7/TjgfrngUu55d+2LGssos3vAgm8GTH/uEPbJSIiIq2jvBcRkb7VV9Oz+SzLegfwR7lfvwu8F3gM2Ab8BvCW3HW/Z9v2ezu/hSIiItIs5b2IiPSrvjxQB7As62N4gW2UafJ54Gdt23bKXO+v50eBd+B9x20TcAHve3F/Ytu23botlm6wLGsPcKzG5j9l2/aXK6zrNuCdwCuBrcAC3gfGzwGfzw1WJF1mWdY+4IXAi3I/DwLrc1e/zbbtz9a5rncB/wrYDiwD/wx8Efhj27bTNaxjE/CrgAXsBrLAEeAvgU/atq3ppEQqUN5LLZT3g0VZL/2gbw/UIR+6v4gXurPAReBh4E9t2/5qDbf/KPA+mgx/ia9WBXfurM4ngFSZ234NuMe2bU3702WWZVV606s5vC3L+gm894B1ZZocAl5j2/a5Cuu4G+97s7NlmhwDXmvb9jO1bJPIoFLeSzXK+8GirJd+0FfTs5WybfsfgH9o5La5N+L35359GC/AH8XrSft14M3AzwCn8Xrypfe9HfjzCtcvR11oWdbrgU/hfcA7DPwa8BAwBfwCXq/7q4DPAD/dwu2V5vhnyy4Cb6znhpZl3QF8AW8Qq3PAu4GvA6N4pbb/HrgN+KplWS+N+nBvWdZOwAamgUW89xH/gOIevO/W7gX+h2VZt6m3XaQ85b3USXk/OJT10rP6+kC9UZZlbQQ+kvv1h8ArbNtezP1+HniLZVkG8Cbg3ZZl/alt24e7sKnSWqv1vkFalpXE61k3gHng5bZtn85dfQ74FcuyFvE+BL7RsqxP5z5QSvf8NPCwbdtHASzLegV1hjfwcbzgXgNeZdv2Y4HrPmxZ1lngvwIvAd4KfDZiHR/GC26An7Rt+38Grvsjy7IOA/fjzRH9HuCDdW6jiFShvB9Yyvv+p6yXntePo763ws8Ak7nlfx8I7aDfwPt+SRKvF1UG0+uAA7nlPwiEdtCHKYxM/M5ObJSUZ9v2vX5wN8KyrFuAH839+pmS4Pbv40/wvr8G8MsR65iiMMjV35UEt7+OvwP8y3/Bsiy9X4u0nvJeaqW87yHKeukH2hmi3ZP7uQp8JaqBbdsngX/M/fqGDmyTxNM9geW/iGpg2/YyXtkTwGstyxpu+1ZJO1V9zXO+lPt5R670Lej1FCqaKq3Dv24T8NKat1BEaqW8l1op7weLsl66Tgfq0V6Y+/mIbdurFdo9kPu5z7KsyfZuknSKZVlDdTT395XTtm0fr9DO31fGgBsa2S6JDf81d4DvVGj3QGD5YJl1lLarZx0i0jzl/QBT3ksFynrpOn1HvYRlWVuBidyvR6o0D5bU3AA82JaNkk55v2VZHwc2WpaVAZ4F/h74lG3bh0ob5763eG3u13r3ldD6pGdcn/t5Knf2pJzS1/y+iHU4VB6F+Bjg4n0nUh/4RFpIeT/QlPdSjbJeuk5n1MOCUyecrdI2eP1MG7ZFOutaYGNuOYk3sMfPAY9YlvWxXFAHrccbZAS0rwwS/z2imdfcX8fFSvOv2ra9RuH7jtpvRFpLeT+4lPdSjbJeuk4H6mHjgeWVKm2DPWzjZVtJnDl4c57+X3hTbMzghfE1wLvwRnI18Kbr+WDJbbWvDCb/9WvmNa91HcH1aL8RaS29hw8W5b3UQ1kvXafS98rcJq+XmLNt+wTwYxFXHQY+aVnWvXiDCO3FK5X7XJlRRLWvDJ5WvOataiMizdF7eJ9T3kuDlPXSNTqjHhacV3O0Stvg9XXNxym9ITf9ij/FSoriOTi1rwwm//Vr5jWvdR3BNtpvRFpL7+GSp7yXEsp66TodqIfNBZY3VWm7ObA834ZtkXi4n0LZ0h2By6/iTekD2lcGif8e0cxr7q9jo2VZqXIryI1I7H+PUvuNSGsp76WU8l58ynrpOh2ol7Bt+xSwkPt1f5Xm+wLLT7Vni6TbbNvOABdyv04GLneAZ3K/al8ZHE/nfm6zLGukQrtKr7m/DhPYU2Ede/C+Mxm1DhFpgvJeSinvJUBZL12nA/Vo38v9vMOyrOEK7e7O/Txq2/bFNm+TdEmup3M692vp6/xw7uc2y7J2VViNv68soTfhXue/5gngzgrt7g4sf6/kuocDy3fVuI6Hy7YSkUYp7yVPeS8BynrpOh2oR7sv93MEeENUA8uytgM/UtJe+tPrAP8D3CMl190XWH5T1I0tyxoFrNyv99u2XcvonxJf9wWWI1/zHP/7jY/kBjEK+msgU8M6fjr38zzwQK0bKCI1uy/3U3kvoLyXgvsCy8p66QodqEf7PIX5DH/bsqyxiDa/i9fLlgH+uEPbJS1mWdbOKtfvAj6Z+3UN+FJJk78FjuSW32NZ1mbCPkDhu0efanBTJSZs234U+Gbu17dZlnVjaRvLsv5P4Ibcr6HX3LbtC8AXcr++xrKsV0Ws48eA1+Z+/S+2bWeb3XYRCVHeDwjlvdRDWS9xYLiuZgOIYlnWO4A/yv36XeC9wGPANuA3gLfkrvs927bf2/ktlFawLGsO+DbwVbySpdN4H8Z24vWs/zowlWv+72zb/kjEOv41YON9v+iHwK8B38EL67fjzc8KcK9t2z9denvpLMuy9gOzgYvuoPC3/jvA3wSuW7Bt+8mIddyBN43PCHAWeDfwdbxRW9+MNwdvEngIeGnu+42l69gJfB+vzPIq3vvKX/lX4x0cjON9MLzdtu0r9T9aEalGeT8YlPeDRVkv/UAH6hVYlvUxvMA2yjT5PPCzUX+Y0hssy7oEbKjSLA18KCq0A+t5B/AJvCldonwNuMe27aUGNlNayLKszwL/R43N/8G27VeUWc9P4L0HrCtz20PAa2zbPldhW+7G+9A4U6bJMeC1tm0/U+Z6EWkB5X3/U94PFmW99AOVvldg2/b7gVcC/y/wPF4p1Fm8Xrg32Lb9VoV2z3sb8HG8XvbjwBW8oJ7D+57QR4HrKoU2gG3bn8YbbOSzwLN407jMAd8AfhZ4tUK7v9i2/RXgFrxyt8N4U/pcxOtZ/xXgzkrBnVvHA8BNwH8EngQW8fbBQ8C/A25VcIu0n/J+ICjvpW7KeukmnVEXERERERERiRGdURcRERERERGJER2oi4iIiIiIiMSIDtRFREREREREYkQH6iIiIiIiIiIxogN1ERERERERkRjRgbqIiIiIiIhIjOhAXURERERERCRGdKAuIiIiIiIiEiM6UBcRERERERGJER2oi4iIiIiIiMSIDtRFREREREREYkQH6iIiIiIiIiIxogN1ERERERERkRjRgbqIiIiIiIhIjOhAXURERERERCRGdKAuIiIiIiIiEiM6UBcRERERERGJER2oi4iIiIiIiMSIDtRFREREREREYkQH6iIiIiIiIiIx8v8DJCuAXzCVcL4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1200x525 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = np.isin(binNum, flags[flags.TOTAL>3].index.values)\n",
    "mask2 = np.isin(binNum, flags[flags.TOTAL>2].index.values)\n",
    "\n",
    "fig, ax = plt.subplots(1,2, figsize=(8,3.5))\n",
    "chi2_cb = plot_voronoi(x, y, chi2.values.T[0][binNum], pixelsize=1, ax=ax[0], \n",
    "                        cmap='RdYlGn_r')\n",
    "chi2_cb = plot_voronoi(x, y, chi2.values.T[0][binNum], pixelsize=1, ax=ax[1], \n",
    "                        cmap='RdYlGn_r')\n",
    "\n",
    "\n",
    "ax[0].scatter(x[mask], y[mask], color='m', marker='s', s=5)\n",
    "ax[0].set_title(\"Flags>3 over chi2 map\")\n",
    "ax[1].scatter(x[mask2 & ~mask], y[mask2 & ~mask], color='k', marker='s', s=5)\n",
    "ax[1].set_title(\"Flags==3 over chi2 map\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see things go very wrong where our point sources are - which makes sense! there is no reason our SEDs should fit those well. We could use the FLAGS as a way to filter potential point sources in the way (if you are dealing with a v. crowded field) but that's not what they were meant for so use caution. \n",
    "\n",
    "Now the FLAGS==3 is interesting: Here again we have the voronoi bins at the bottom (which have terrible spectra) and some bins in the middle of the galaxy. Spoiler alert, there is a LIER region in the middle (and other bits of the galaxy) so it could be that... or it could be that the SNR is super high there and so thi chi2 very poor because it's fitting data with smaller uncertainties. \n",
    "\n",
    "Best way to check is to plot all that! \n",
    "\n",
    "\n",
    "#### 2.1.3 - Plotting spectra from individual vorbins\n",
    "\n",
    "There is a little bit of faffing around with indicies to plot spectra from specific bins you identify in your plot as needing an extra look. It's not particularly complex, just have to know where to look and where pas me decided things should be located, so let me show you:\n",
    "\n",
    "**Let's plot all the spectra from the FLAGS==3 voronoi bins**\n",
    "\n",
    "First we have our bin ID in the flags table so that's handy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CHI2</th>\n",
       "      <th>LOS</th>\n",
       "      <th>DISP</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bin_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1420</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        CHI2  LOS  DISP  TOTAL\n",
       "bin_id                        \n",
       "44         3    0     0      3\n",
       "101        3    0     0      3\n",
       "469        3    0     0      3\n",
       "556        3    0     0      3\n",
       "661        3    0     0      3\n",
       "1420       3    0     0      3"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flags[flags.TOTAL==3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  44,  101,  469,  556,  661, 1420])"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binID_flag3 = flags[flags.TOTAL==3].index.values\n",
    "binID_flag3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These bin_id numbers are directly related to the first dimension of our `spectra` and `norm_fluxes` numpy arrays (which are 2D arrays with shape [number voronoi bins, number of wavelength bins]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1494, 3681)"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spectra.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa62c695730>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YXnjhBRujgdSxWhswDIObN296NCtafaSuuUAQ7MCyLJjq6tpuBgBAHRxsc4M0BWkPDAx0KvSaNWuG2bM5l/IJEyagQYMG2LFjByZNmmQzgcGasLAwfP755+ZjsCyLrVu3oqKiQrKVSyqmdJXZ2aKu5k5hWRZLlizByJEj0b17d+Tk5Ngte/bsWcTGxmL+/Pl2y9QUcvrSYR3a2r+4+weq3XptXBfGqsFgAMuyDs+D1LGamZkJAPj222/Rv39/PProo0hJScHGjRuRl5eHb775BiqVCq1btwYAXL16FX379jXvf+XKFQCci4RSYFkW0HsqR5Mb+Ic47SNHv8u6MFadkZWVBZZlcfToUfj5+WH69OkIDQ3F1q1b8d133yEkJAQDBgwAIH2s1gY6nQ55eXlo3bq1Q9cMgmOIAK4HsCyLa6+9gIorF2u7KQCAhr3vQLefl7h88ZgwYYJg+cEHH8SOHTtw/vx5pxfqcePGCY7bs2dPbNmyBbm5uU73lYvptVpVleXmOHbsWIwdO1bS/vv370dqairef/99h+V0Oh3++OMP3H///Wjbtq3rDVYILMti8/xzyE4pqe2moHmHCEx6Y2C9Hat33XUXKisr7e1mRupYrTY+hHfp0gVvv/02AGD48OEICgrCypUrER8fj379+qFTp07o2rUrNm3ahCZNmqBPnz64ffs2Fi5cCH9/f2g0Gle/qkdhWRaGXQ8DeQrIYxQ1CH73b6q3Y1XKddU0/srKyvDdd9+hW7duAIDBgwfjhRdewIYNG8wCWOpYJfguxAWinlCXJiW1aNFCsNy8eXOo1Wrk5uY63TcqKkqw3LAhF2WvosKTiQY5TBfQkJAQ2ftWVlZi5cqVmDx5sk2braFpGqWlpfjPf/7jUjsJ3oOMVSEml4ZRo0YJ1o8ePRoA5/tr4sMPP0T79u3x888/44UXXsAXX3yBESNGoGPHji6103vUjWtrfRirpvHXrFkzs/g11TVo0CBcv34dBoNBUFbKWCX4JsQCXA9QqVTo9vMSRbtAuIOcuuzNnPWGv2paWhoA2xuLFP7991/o9XqMHDnS/Dq5oKAAAFBeXo6cnBw0btwYWq0WGzZswPjx41FZWWm21pl8/XJychAUFIRGjRp55kvVACqVCpPeGFgnXCCsqc9jNSAgAI0bNwYAm/FomixVXl5uXtekSRN88803yMzMRFFREVq2bInIyEjMmDEDLVu2lN1Ob6BSqeB3/yafcIGQS10cq/bGn2mdXq9HdXU1QkNDZY1Vj8DKiQSsPK4cv43EM1kY/8IdCGkY6HwHBUAEcD1BpVLBT1FWE1ukXnCzsrLQvHlzwTLDMIiOjvZW01zi0KFDUKlULr0my8vLQ3l5uTkWJp+///4bf//9N+bNm4fQ0FBUVVVh06ZN2LRpk03ZF154AUOGDMGsWTYJDb2KuzdilUqFgCBnSR2VT10Yq876UupY7dixIzp37ow9e/aYBbIJk0+vKRkCn5YtW5oF761bt1BYWIi7775b6lfzOiqVCghwP9Z3TeCoL+vCWHVGkyZNEBkZaTP+AG4MBgYGmi3LrozVmkKJiTCObOAs4ud3p2DkI92clFYGRAATFIGcIO3bt29HTEyMeXnbtm0AYPbdUgIbN25EbGws7rzzToG1Smq4noceeghDhw4VrCsuLsZvv/2GsWPHYsiQIWjWrBn8/f3x0Ucf2ey/detWJCYm4p133qnxED0kEYaFujBWGzVq5PBGK3WsAsCQIUOwdOlS7N+/H2PHjjXXu2fPHgAQnCtrGIbBihUrEBQUhPHjx7v8fesrzn6XdWGsSgmDNnLkSGzduhWxsbHm71taWorTp0+jb9++5jHpzlj1NkpOhKHTOEyxoCiIACYoBqmCKScnB19++SX69++Pa9eu4dChQxg9erTHJ1tIwWAw4ODBgwC4yWi5ubk4c+YMUlNT0adPH7zyyiuC8qdOncL8+fPxxhtvOJy00alTJ3Tq1EmwzvR6uW3btgLBYS0+TMe5fv266LaagIhfDjJWhWM1MjISU6ZMwdq1a/Hpp59i6NChSElJwZ49ezBq1Ch06dLFXHbp0qXQarXo0KEDDAYDDh8+jOvXr2PmzJlOfY0J4jj6XSp1rGqqtcjLz8XZs2fdHqsAF0v4+PHjmDt3LiZOnIjQ0FDs2rULer1ekN5YzljNzc01t9cUom/9+vUAgOjoaJukHp5AieLX1yACmOBzvPfee1izZg3+/PNP+Pn5YcKECXjmmWdqpS06nQ4//cTlXgkKCkJERAQ6d+6MqVOneiRnPcG3IWPVlscffxwNGzbE9u3b8fvvv6NRo0aYMmUKpk6dKijXsWNH0DSNw4cPQ6VSoWvXrvjiiy8EYdEInkOpYzUwMAjhYeHo2q2LR8ZqZGQk5s6di2XLloGmaej1enTv3h1vvfWWjdiXOlZzcnKwZs0awTrTcu/evb0igAnuoyLB6n0DiqJCAZQDXLpbscw1DMMgMTERANCtWzefEl8sy0Kj0SAoKIhYD30c0pd1B9KXdQdf7Eud1oCibC6SRHTb2vO59RYGA4OCDG4yXdNWDaH2s3/P5t/fu3TpgrS0NHTo0EEx9/mFb+wDAHQf0gJ3/adXTR7a5cGsjDNHqPeYgrSTBzLfh/Rl3YH0Zd2B9GXdwZQIw5QxkeAaRAATCAQCgUBQNHVduJfkV0FT6fuC1pe6iQhgAoFAIBAIhFpEpzGgJF8B8aTrEUQAEwgEAoFAINQ0PmQtdUZ8+iGsOzMXpeVFtd0UyRABTFAMvjIxg+Ac0pd1B9KXdQdf60vfaq18ql10eVBiIoxTydtQUpWP3SdsEzIpFRIGjaAISPKEugPpy7oD6cu6A+lL5VFRrHFpPyUnwjAYDLXdBMko7+wR6i3kwlx3IH1ZdyB9WXdQcl8aDAyqK3V1frKbp1CS+C0rK6vtJriEcs4ggUAgEAiEeklRdgVK86tQWaat7aYQZHDu7Hnceeedtd0MlyACmKAIWJZFdXU1efqvA5C+rDuQvqw7KL0vGQPXLm2lvpZb4h201XpUV3gmzBnDMLh58yYYhvFIfe7w0ze/CJaVObrEIQKYoAhIkPa6A+nLugPpy7oD6cvapTi3EqUFVdDrpPnIGvQMKko0YAy2IldJiTBKC3w3dBsRwAQCgUAgEHwOxsBAW+1bot5k6XZGcW4FKko0KC2o9nKLXKe8uNqnLL7WEAFMIBAIBALB5yjMqkBxbiU0ddBtwqDnpKVOo9zvptOIWLN96GGECGCCz7B27VpQFIXS0lKnZZ9//nnMmzfP+40iEEQgY5XgK/jMWBXRVQxj9BuuUq5IrH/4jgAmcYAJikHJIXrWrl2LdevWYfXq1QgPDwcAzJs3DwcOHDCXCQ4ORkREBDp16oRRo0Zh6NChboWqSUpKwv79+5GUlITU1FQYDAbQNG23/J49e7B582bk5OSgadOmeOihh/Dggw8Kyty+fRu7du1CUlISbt68CZ1Oh6VLl6JZs2Yut1MMJfdlXcfTY1VKX1rXb6JVq1ZYuHCheTknJwcvvPCCaB3vvPMORo0aJVjHMAx27dqF3bt3IyMjA0FBQWjfvj2ef/55dOjQwWm7CEKU9rs0jdVVq1aBYRmoVX5Yunwhjp08Yi4TFBiEsLBwdOnaGaNHj67x66qJhIQEfPDBBwAg+G0BwIkTJ3Ds2DFcv34dRUVFiIqKwsCBA/H444+jYcOGNnWdPn0af/31F27dSkd4WDhGDB2FB++fBD8/P0nfQYmJMHwRIoAJisDTQdoXLlxYIxf7gIAAvPrqqwAArVaLvLw8nDlzBnPnzkWfPn0wa9YsNGjQwKW6z507h71796J9+/Zo3rw5MjIy7JbdtWsXfvvtNwwfPhwTJ05EQkIClixZAo1Gg0ceecRcLjExEdu2bUObNm3QunVrpKSkuNQ2R5CA+/JQ8liV05f8+k2EhoaKlh01ahQGDBggWNe9e3ebcj///DMOHz6Mu+66CxMmTEB1dTWSk5NRXFzstD0EIZ74XXprrGZmZoJhGESENAVgGUuMgUFRXjkKCvNxJTHewViVbnWUc101wTAMFi9ejODgYFRX2/rkLliwAI0aRWL06NGIjo5GWloatm/fjvPnz+Onn35CUFCQueyF2Av439yv0bt3b/xnytO4nZmObbs2o7SsFE9NfUbSd1BKIgyxoeA79l8igAkKwpMX1oCAAI/V5Qg/Pz/cddddgnXTpk3Dxo0bsXLlSvz666947733XKp7/PjxeOSRRxAUFIRFixbZvVBrNBqsWrUKAwcONFsoxo0bB4ZhsH79eowbN85shRg8eDDWrl2LBg0a4N9///WKAAaUZ2lSMkofq1L7Uqx+e3Tq1Mlp2WPHjuHAgQP48MMPMWzYMEn1Ehzj7u/SW2O1rKwMoaGhqNRyCRVMY0mvNaAwuwIA8H8vPYt/Nv1TY9dVPrt370Z+fj7uvfdebN261Wb7f595Dd279kRIWCDCIoMBcGN83rx5OHz4MO677z5z2ZWr/kT79u3x+eefoyCD+24hwSHYsYfGPWPGIbptuE39YtS2+K0LkDNI8DlKS0vxzTff4PHHH8eTTz6JpUuXQqsVBk+39lXbv38/KIpCQkIC/vjjD0ybNg1TpkzB119/jZKSEo+38dFHH0VMTAyOHz8uuMBWVFTg9u3bqKiocFpHZGSkwHJgj0uXLqGsrAwPPPCAYL3JYnb27FnzurCwMJct0gT51JexasJgMKCyslJS2erqaodhnDZv3oyuXbti2LBhYBhG1PJG8BxKH6ss7I/VyspKj19XTZSVlWH16tV48skn7b7R6N61JwDAwAtxNnToUABAenq6eV1mVgZu307HuHHjBO4Od915D1iWxfm4M5LbRXAfYgGuJ7AsC41OGS8nggJUNpYIlmWh0WgQFBTk1ErxzTffoFmzZnj66aeRmJiIrVu3ory8HG+++abTYy9ZsgQNGzbE1KlTkZubC5qm4e/v77I1wRFjxoxBbGws4uLi0KpVKwDAqVOnMH/+fLzxxhsYO3asR46TnJwMAOjcubNgfadOnaBWq5GcnCzZMucJ5PSlwzoYjYdbJp8gtevfAagbY/Xll1/GuHHjnJ4HjUaDqVOnQqPRoGHDhhg1ahSmT5+OkJAQm7Lr1q3D8uXLoVKp0KlTJzz11FOIiYkxb6+srMT169cxfvx4rFy5Etu3b0dVVRWaNWuG6dOnY+TIkZ49ATLQVuuh9lPBP4ATMKYEE7VNcHCwwz5y9rv0xbE6qA+XgezchTNYsmyRR6+rJtasWYPIyEiMGzcO69evl7yfyU0nPDzcHKbt1u1UALbX6kaNIhHZqDFupadJCunGMAxSUlLQoUMHYgl2AyKA6wEsy+KtP7OQcLv2BQUA9GodhB+mtxBchE1B2gMDA53eaJs1a4bZs2cD4KycDRo0wI4dOzBp0iSnE2PCwsLw+eefm4/Bsiy2bt2KiooKu0/3rtKuXTsAQHZ2tkfrtaawsBBqtRqNGjUSrA8ICEBYWBgKCwu9enxr5PSlvf3fu/wZrpZd90Lr5NEzrCu+6f2JyyK4LoxVg8EAlmUdnoPIyEhMnjwZnTp1AsMwuHDhAnbs2IGUlBR8/fXXZmuXWq1GTEwMhg4diiZNmiA7OxtbtmzBZ599hlmzZmHQoEEAgKysLLAsi6NHj8LPzw/Tp09HaGgotm7diu+++w4hISE2PsQ1gV5rQHEuZ+GObssJmxkzZiA+Pr7G22JNv379zA8VYjj7XfrkWO3DrfOWaSclJQW7du3CnDlzJE9QM/HPP/9ArVZjxIgR5nUlJcUAuN+LNRERjVBcUoT8jHIEBjk+likRRuvWrWVZsz2Pb7u6kUeHeoJvD1MhEyZMECybIh2cP3/e6b7WlqyePXuCYRjk5uZ6tpHgLDIAUFVlyZQzduxY0DTtUSuFVquFv7/4s2xAQIDNa0xfQFVHRqyvj9XNmzdj9OjRTvefPn262TI7atQozJw5E9OmTcPVq1dx/Phxc7moqCh89tlnGD9+PAYPHgyKojBv3jyEh4dj2bJl5nImi2pZWRlmzZqFBx54AKNHj8YXX3yBsLAwbNiwwVNfXRZiWbzqir+7L4/VUSPHePy6CgBLly7FgAEDBG8npHD48GHs3bsXkyZNQsuWLc3rtTruWizmSx3gHwCdTguWYaHhhXVjWUBTpeRkH0ptl3OIBbgeoFKp8MP0Fop2gZBDixYtBMvNmzeHWq2WdLGNiooSLJsmh8nxc5SK6SYu9grYkwQGBkKvF4+DqdPpEBgY6NXjexqVSoVven9SJ1wg6vNYnThxItauXYv4+Hib8GZ8wsLCMHbsWPzzzz/Iz89H06ZNzWO2WbNm6Natm7lsSEgIBg0ahMOHD8NgMMi2ynkalUqF5cuX+4QLhDOUMlad3aVq6rp69OhRXLt2Db/88ous/S5fvoxffvkFMTExeOqppwTbAgO4cS3m+67T6xAQIH6tLsmrRGgj37qO+wJEANcTVCoVggPrhqXCGjkXfXv+Ut54uk5LSwNge2PxNI0bNwbDMCguLha4Qeh0OpSVlaFx48ZePb43UKlUCPYLru1meJz6NFaDgoIQFhaGsrIyp2VNAqqsrAxNmzY1j1lrtx7TOr1ej+rqao+/XncFlUrldTFWG9T2WGUMjKgYrqnr6vLlyzFixAj4+/sjJycHgEXQ5+XlQafToUmTJoJ9bt5Ixnfzv0LbNm3xwQcf2DygRUQ0AgDk5uTDTy8cMyUlxejQrpPd9ig3253tfB5fgQhggmKQesHNyspC8+bNBcsMwyA6OtpbTXOJQ4cOQaVSoV+/fl49jsk/78aNGxg4cKB5/Y0bN8AwDDp27OjV44tRV14Lu0tdGKuu9mVlZSVKS0sRERHhtKzJ99hUtkmTJoiMjERBQYFN2cLCQgQGBtZJ0eltHPWl0sZqfkY5VCK6WjBWvagJ8/PzcfjwYRw+fNhm25tvvokOHTpg/vz55nW5eTmY99u3CAsLx7tvfSAcn0ZN2KY15798OS4BUaNamTcXFxehqLgQo0ZIm6yslEQY3HDyHcFrDRHABEUgJ0j79u3bBT5Z27ZtA4BamRRjj40bNyI2NhZ33nmnwAesoqICRUVFiIyM9Jj1qm/fvggLC8POnTsFAnjnzp0ICgoSrKsJSCIMC3VhrDZq1MjhjVar1UKv19uE11u/fj1YlkX//v3N60pKSmwEcUFBAfbt24f27dsL3laMHDkSW7duRWxsrPkclpaW4vTp0+jbt2+t3/x9DWe/SyWNVZMVkWWE663Hau4tLn1zZWUlym4XevS6+tFHH9msO3r0KI4ePYo333xTYP0tKS3GTwu+gUqlxpuvvI/wcOEYN0nEVi1ao3mzljhy/CBGjxxrHMMsDh3bB5VKhQExgyW1TSmJMHwdIoAJikGqYMrJycGXX36J/v3749q1azh06BBGjx5dK6lRDQYDDh48CIBzOcjNzcWZM2eQmpqKPn364JVXXhGUlxMGLTc311z3jRs3AMAchic6Otoc2iwoKAhPPvkkFi1ahLlz56J///64cuUKDh06hGnTpiEsLMxcZ0VFhfnGdvXqVQDcjS80NBShoaE2qZNdhYhfjvowVouKijBz5kyMGjUKrVu3BgDExsbi3Llz6N+/P4YMGWIuu2LFCmRlZeGOO+5A48aNkZubi127dqG6utomRfKjjz6K48ePY+7cuZg4cSJCQ0Oxa9cu6PV6G99KgjQc/S6VNFYZhsHJM8cAcL6xhYX5uHwtHqmpqejetSeefuI5Qflz589g6XJpYdCkXldNcXz5mEJODhgwQJAKed6Cb5GXn4v773kQ128m4lZWMoJCOHnVqFEj3HFHP3PZKZOewK9LfsSPv85F/5gBSE2/iZMnT+LOYWPQsnkrSIWIX/chApjgc7z33ntYs2YN/vzzT/j5+WHChAl45hlpKSQ9jU6nw08//QSAE6IRERHo3Lkzpk6d6nbO+pycHKxZs0awzrTcu3dvQWzfBx54AH5+fti8eTPOnDmDpk2b4rnnngNFUYL9y8vLbercvHkzAO7i7ykBTOCoD2M1NDQUgwYNQlxcHA4cOACGYdCiRQs89dRTePjhhwX19uvXD9nZ2dixYwfKy8sRGhqKXr164fHHH0enTkL/x8jISMydOxfLli0DTdPQ6/Xo3r073nrrLa+JsvKiauh1DCKiQurdQ5zSxuofKxcBAAIDgxAeFo4uXTvjofEPo0+PGKiYmrmuSiU94xYAYNe+bTbbevfuLRDAd/SJwcvPvwF657/Y8M9fCA0NxZgxY/D4pOmyj1vriP1EfMgjQuVLDsv1GYqiQgGUA8CGDRvMoWD4MAyDxMREAEC3bt186gnRE8kTCMqA9GXdob71pemVeqPoBggMtrUPVVdoUVrARSGQmrJWKSi5L69cuQIACPALQtNGzREUEoCKEg0YVo/SqkKEBDZEq3bRKC2ograaC0UX3Tbc3F9BIf6IiKq9DJemdpgIjQhCaIQlPi/DsMi/bTsZNL/8ttndIyqsjcNj+AeqkFN0GwDQpUsXpKWlCRJhJJ3NwtldyRj//B1o3KKhW99HKiX5lXhyygzcLkoyrxvQYyT++OvXGjm+EZcHs+8oJEKdxhSknTyQ+T6kL+sO9bUv6+L39cW+LK8uhs6gQWmV7WRIn8LD59yUCIMfTm3/6isoza/CgTVXPHIMhmGx5dfzOLz+qkfqUyJEABMIBAKBQKh1dAZh7G/GehYcwSl6nbRzdmFvKnYsjoPBIF4+O7kYmdeLkHAiw5PNUxREABMIBAKBQCDUNLVojD+97QbSEvKRHCee6ISxI4z5iLsA+84bBiKACQQCgUDg4zv38DqHXsvY9+qsw/3C1pK1W6+1Te8NuOG14UN9RAQwQTEobWIGwXVIX9YdSF/WHXy9L31IWwmQ0u788gyUVUvzda6JRBi+5CvuKkQAExSBKUi7L0WuIIhD+rLuQPqy7lCX+1Jnx4qpdKzdBap1lZL2MyXCCAgIEKtUHnaeifgGaZapm2K47v0S6jEqlcr8hK/XKzVvuH183TpBsED6su5A+rLuUFf7kjEoTaCxDhddgWE4kW+6z9fkgwxjzxrs4+OJJMKoQ6hUKgQGBkKj0SAjIwOtWrWCvz/pYgKBUDdgGBaMgYF/gJ936jeavQwMA4ax9clkGMZcRmw7wTEsy4qKcP7rdoZlwBrPM8uy5m0G4zr++edHiajN/rCMGy0MBj2CDY0E7dFUaUUjWoi5GYiVYxgDyioKAQCBgYEOH2TkTkJT2TEB89vGMizgnZ9crULUUR2jZcuWuHXrFqqrq3Hz5s3abo4sGIapk6/n6iOkL+sOSupLvc4AlgX8/dVQqT1vfTK9Si8oV0MtUj/DsDDoOYFSVOl7iqBW+5IF9HoDZ730U4ExsFD7cdZMrVZrLpZbfBsFZSoYDCwMjN48Oez69SQY9AwMBgPUKjWKKv0Frg+12R+mdugN3PcoqSyAf46/zXZrTOX55BbftlnHGsddw4gQtGzZEgzDICUlRZAIwx5V5VpcOXYb3Qa3RFhj2wRa9hAKYMm7+RREANcxgoOD0bZtW2RmZkKr1fqMIzvDMKisrKyzPmr1CdKXdQel9WVRVgUAIDgsEGGR0m/mUinO5uoPbxqCoAa2/pXaKj3KCqoAAFE+lAmuqkwLqAADtLXWl5oqHUrzuXOnUqvAMiz8AtVo3LwhUlJSzOWiGrZGaKMgVBRrUFyVZ44N3L1bd6SmpEKr10Ct8kP3Ht3M/QXUbn+Y2pFXzonXRuGN0bJ1c5vt1pjK84lq2NpmHcsCavihZ59uCA4OhkajQV5eHlq3bo2goCCrwsLF/auvIP1qAa6dzsS0OSNtG2HnObKqzJJkw5GOsN7mS2HQiACugwQHB6Njx46C10dKR6PRID4+Hh07drT9QRN8CtKXdQel9eXhpQcAAL1Htka3oV3N66vKtSjMLEPLLo3d8nM11X/3k23RuVsz83qdRg//QD9cP5+N07u5zFhPftwXLMuiYSPPC3FPUlGiwZqlxwEAdzwaWmt9eTM2B6d222Yp+7/vB+Dpp582Lz935/8weEI0EnbfxPaLK5Fdwonjg3uPYMYzM8zlTp8+be4vrp5B3mu8E0zt+OPoXADAg2Mfw8dfv22z3RpTeT7P3fk/m3WsAWjRqRGC7+fGmqZSB0Yvfm+3XpuRxLlOlBVWO/4SPOIOpOHkluuWOq4XoUOfKMn7+woeE8AURXUEMBDAIOP/AwCEGTc/Q9P0Cpl1zQQwHkArAFUAEgH8BWARTdM6+3ub64gG8CYACkA7AAYANwH8A2A+TdPlEupoCOANAI8A6ATOCyYNAA3gJ5qmxSNIC+sIAPAigCcAdAMQAiADwE4A82iaTnZWh6vwJ8UpHZNFwtuhXQjeh/Rl3UFpfcma3iSzwklAG+aeRnWFDvc83RtdBjQX31lG/SpY6s9LL8XG78+gx7BWaNExwlxm9aecqJz60TCENwmBn3/tnx8xDDrW3GaWrcW+VKks/cdDrVYLUvqyBu78swZAr9Obt6nVauh1erOFUa1WC+qrzfFpaoeprYxe6Goi9r355cXqsoemUoc1n56COgAYIEHzq9QqQMIkQZZhUZJfiYioBgLxCwC7fo/HS/PvEa/fRzSGGJ4cMTcBrAfwDoAxsIhfWVAU9TCAiwBeA9AZnGBsDGAYgJ8BnDGKW0d1DAdwGcAHAHoCCAUQDiAGwJcALlIU1dV+DYBx+0Vj+Rjj/qHG+j4AcNl4HEd1RAM4Y2z3MOP3CDF+r9eM7ZjkqA4CgUAgOKa6ghMSqZfyPFIf/83Zud2cBfLqSfGUsOu+Pol/553zyHFrAm21HvtXX8Gtq/k1elx3/Ui5LvENseWNpBamIZmXXgoAYOyZAa20rlOBqgJ0GgOWvncQf311Eotm7pfVKJu3zD7y1hnwThi0QgB7AWyQuyNFUf0BrAUnNHMBTAPQEpz19RMAegD9AGyhKEq07RRFtQFnoY0CUAHgVQBtjH+vGtd1ALDDaOEVqyMMnIW2g/GYnxjb0NLYplxj/bTxeGJ1qAFsMbYX4ERwDwDNAEwEcMP4Pf8yfu96TU0E9ibUDKQv6w5K7svKMi2KcoS+lXbDNUlAcCNnBRuc7msSJbXBqa03sOaL49BUOn0xCrVajbh96Ug6m4Xti+K83zgB8vvGOkKBrxgbvSIBjeOQH+xCyu+SX6QopwJXjt0GYxXX98SWJBh0jkX7Pz+ewZ7lF50302kJ5eBJH+DHAZwzvdKnKGoMgMdk1vEjgGAAWgD30DR9ibftC4qicgAsBjAUwNMAVojU8QWAJsbPk2ma3sPbtoCiqBsAdoETtO8A+FSkjrcBdDR+fpmm6aW8bWsoiroI4JzxOF8AmCFSx9PGdgLA1zRNz+JtoymKOgvOSt0YwA8A7hKpo95gCuytxBstQR6kL+sOSu7LP2cfAQBMmzPCvI51Jx4sX//yZ8C7XmONELsvFQBw6Wg6Bo7r6LDsgAEDcPBaQg20SgQZJ9K+1dI3FHDmjSJcPZmBHsNaebxu/tg0JcKoKNHwCwDgrLoBQX6CaCnrvj4JQBgyTgUg7YrztwG5aaXITRM+6Cn9t+EMj13VaJre4I4/K0VRfQGMNi4utxK/pmMsAecLDHAuBNZ1NAbwpHFxt5X4NdWxG4Bp/UvWlmSKovwAvGxcTLQSv6Y6LsEivp+kKCpS5Cu9bvy/GJwbhXUdWQC+Ny6OoSiqj0gd9Qol3mQJrkH6su6g9L7MSy8zf/bYpF++ALMyDO9LWI29CaskV8UyLOhfz+PAGtsJYJ6En62LZVkUZJRBrxM6lNamv6a7feMrE7oBLhLCoXVXPVun6euLnIaVnxwVLGenluD39w7i2D+Jon1+7J8k8+cDaxKgrfK9xFmeQElXtom8z+sclFtv/L+/iPvBBFis2o7qMG2LBjDCattwcO4NUuvwB/AgfwNFUW3B+Q0DwBaapquc1AEAkxwci0AgEAhOcMf10q684m1Iv5GNm3lxSM6LR5W2zN4eAvJulyHjehESz2S53jiZXD+fgw3fngb96wXhBhay/AiS43ORlVwsqaxOa8D1C9k2rhg343Kwcs5RZKeUSD4uwRbTA4CzB4GS/Cqc3c7lALh0JF1SvGydxjdTSbuLkgTwQOP/DIDTDsqd4H0eYKcO63LeqOMUuLaK1cFftlsHTdMpALLt1FGvYBgGN2/eJNmV6gCkL+sOvtCXfD3njg8w39fXFDoKEMY1vXT0lt3dDQbxc8QyNW+5NE3Yy0kVis7k5GRYS/3MG0Uozq0UrNNU6rD3z0vYvewiNs+XNsHv2D+J2PfnZexaxvmJMgYGu/6Ix57ll1BRrEHCCfFJhHKwl7VMcXjDWs2aquZlzbP3u+SdJrGELm41w56vvA+iJAHc3fh/pgOLKQDw3Sx62KmDAZAC+6TA0nX26gC4yBaiGNtoEq8u1WHE9H2s66hX6HQ65OXliYaFIfgWpC/rDj7Rl3xvBRlis7yoGqe23kB5ERcflb+nwFprt0qhsFjy1gFsXxyr6Ff1efn5gglQhdnl2PLLefz1ldBOc2xTEm5cyJFVd5LxnGVeLwIApFzKQ8pF16JyiBmpGQPjKy7AXsFsAeZpXnu/y8pSS4Y5gX+wR9rhbgHloKREGCa3A2e/Ov72pnbqKHIUK5imaS1FUcUAIh3UIbUtLT1QB0TqsMvMmTMFfnkmH58FCxYA4H4U1k+GAQEBgn2UVkav14NhGGg0GrfqIWWUU0avt/UrU3qbSRlhGevl2m6PGHqdZZwZ9AabdL/2jrV9cSwKsyqQdiUPk98eCJ1WOF4NBgP8/Pys9K/jm/uthALk3S5GRHQD8zqGrZlzqOd/d55Q5KcZZgyM4DsUZFrC4fOvvdkpxYJji2UV5bcnJ7VEIKw1Gg1Sr0gTv9WVtumAzdcO3ve4dPmiwALMby9gm+a5JscqABRVWG713siGZjr9/Ouq9TkwUZjlNM2Byxj0BqgD/QVt4sOybI32hTtJXZQkgE0hyZylK+Fbh63DmEmtw1RPpIM65LTFG3XYRaPRCBzb/fz8EBgYCIC7CMTGxtoMkqioKHTq1EmxZS5duoSSkhJcvnzZPOCV3mZSxn4ZlmVx6ZLNPFZFt5mUsS0TGWmZ36uE9oiRnGJ5KVhWWoaUlBRJxyo0plUuzKrAyjlH0HqA8EaakpyCzl0629e8dnxpExKuIjjDctMOMFhC4nvz/GRnZyElxQ+dOnUSGEoTrlqiPpSWlkJTyTeZW75cbGys+bNOK7QfnTp6ASoVA78gFdR+Kpv2bP1N6GscGxuLpDPSRNjyD4/YrMvIsHWX4At56/YCkNzv3igDABvOfef4i7qJSVimJFtebvPvlzXF7+8ewiNvD0Z023DReMdara5G+2Lo0KFwFSUJYBNODeweqMNTZWqqDgHz5s1DcLAl/Sb/KUmtViMmJkb0ScqEEsv06dMH8fHx6N27t/mJTultJmXsl1GpVOjTpw/8/f3tllFam0kZ2zIMw6CoqEgx7Yn9SzjbHQA6deqE5CNchIXQ0Ibo0KGDxGNZhIS2gkXyEaGtIlDfCKUFVbJDovXo0QONmlkswIWZlQA49wCVSuXx82M6J82bt7B8d54479mjJ65u4/x4w8PDURnaAADn86v2s4inmJgY8+ebe86iChZL4xVj4lS1nwoz/jfSpj3Wk6hiYmJE+0oqqspQcNFQ+SvN/4geQ3q/e76MNfwJa56KvMEy3LHatW+P5GNchIlGfq2Ql1YBwHsWXzF2/R6Ppz+/U/S7BQQG1GhfuIOSBHA5OItsiJNy/O3WvV4uUsZZPfbqMJVxNLKk1uFKO+wSFBTk0OzPHzS+UiYwMBD+/v4ICQmxW15pbSZlxDElTggMDHRal1LaTMqIl9HpdIJEGLXdHmfl1H62STuk1mONKVFEy86NRLfbkzWBgYGC67NazRPWrPfOj5+fn6gYM70dBAB/f3+oVLbuc4DwVTJr59sxBhaMToWQhoGi28XqcoXbiUU26ww6++0FgIKMcjRp2RA7lsYjqk0Yhkzo7PQ4nhyHYrCsZ5J3sLyMa35qP/P6w2uv29vFq1SUaFBeLP5y26BjUFmqRcNGQiOdM7zdF2IoaRKcKRKzwzTH4DKpmSiwU0ckRVF2zxRFUYHgxLajOuS0xRt11CsCAriA+54e4ISah/Rl3UGxfamy89kLZN4o5i3xbcDyD+wpz9AbsTk4suGa0adXOv36xQjnj4goAIOBQVmB/XnoK2bZuizUBIfXCRN4LHxjn2B54/dnkJaQj/SrBbiwJ7UGWyaGtJBlUth56Q8sOfIuCktzPFanJ8hOLhbE4DZRXaHDqjnH7EZFURJKEsDXjP+3pCgq2EE5fqob60jTpjrUANo7qKM9LFcve3UAXLY4USiKCgHQwp06jJi+j2ejZvsgSg+4T5AO6cu6g9L7siZzO/C1h0uH9ZB42bviEq4cv42kc9k227JTigVh3Lb8YgljplapBOdL7BV2+lX3bTHeSfrh/IzrtZ4TXZVlWrdD2JUVSJmOZJ/iylzcKuSkwb7YvwEoJ8jC3j8vY9/Ky6J+wIBn+8JbKOnKZvqV+gEY7KDccN7n83bqAIBhEuuwDnIotY4hsJw/l+qgKKo9LCJaWrBFAoFAIPCoydhY7mYz81AzjFSV20ZQ+Hee8FbCD4llTXmxJYoAy7AoyCzHzqXxbrfLW0k/nMUB9lTM5Yzrhfhz9hG72dwYhkVhdrlda6wpCsSOxbGi26VSVGkbRKo24ko7olInnhCmFpMOSkZJAngz7/MTDso9Zvz/Ak3T1lHJtwFmz31HdTxu/D8PtokqjsPiwjBVQh16ANv5G4ztMo38SQ4s2o/zPm92cKw6D8MoP+A+QRqkL+sOiu1LviXWB260JkwJKlzlZlwOEs9kim+UoItSUlIExbJ5Wd4YhsXxf5Ns9hFj28ILYLwsxLT6akEIOZWYv4YVh9ZbBKs7QvH0Ni58/7XT4uf66N/XsP5/pxC7L028AuOhS/IdpTSQhyUOsLIEsL9aYe5RMlCMAKZp+iIAk3PRMxRF9bIuQ1HU87AkjPhVpI5CAGuNi+MoirpHpI57AdxvXFxI07Rg+qpx+TfjYg+Kop4TqaMXgGeMi2uNx7XmF+P/kQBmidTRHMC7xsUjNE3bxoyqR/hEwH2CJEhf1h2U2pd8y5tcAcyyLPJvS0tj7GncsYyyDIs9yy/hwJoE54XtkJdXIHhlzdeUZYVVMOikpcRNv1aI3FulLrfDGaVVBVh+fDaySyyROrggEI4726CzfDd3fFC1VbYxzMuLqxF3IA2aSp05q93ZneJ5rvhxgD3ls8uwLDZ+f8auVbq28EbM45rCY1EgKIrqBGECiJ68z50oiuIHayulaVrsV/wmOAtsMID9FEW9BeAAuEgJ/wHwqbHcKQB/2mnKbAATADQB8C9FUe8B2GpqJoBvjJ9vAvjeTh3fA5gGzj93kVGsrgEX0/duAD8CCAI3cW22nTpWAvg/AEMBzKYoqiGARQCKwLlP/GBsY7XxexMIBAJBNtIV8LXTmUi7ko/k+Fy3jyr1ts9vXUCQn91yTo/nASGVuKsSuqoK3hpL6/766qS89hhYMAyL01tvuN0ua67nWHs3AnITIRv0LPxdNU5aHai0oAprPj8OAMhNs6SXlhLibOP3Z1xshBCDjkFeuvceOuojnrQAfwzgJO9vAW/bbKttv9nsDYCm6QvghG4FuOgIa8AFUEwG8CU4wR4HYCJN06KPdzRNp4MTuvngkkv8BiDd+LfAuC4FwAM0TYuaAYzrxxvL+RuPnWJsyxpj2/IAUMbjidVhADDR2F4AmAluclwOABpAF+P3/I/xexMIBAJBAgItKFEVFedW4ODaBLfEr7vWLpVaWmMNegZpV/KhrbZYIsX0r9wYs7oqYSVJZ123SOt1BtyMzUHcATtuAB5GpVJBoxe6FLAsiypdhWh5MVcBndaAXb/H23VtEKOiRCMQ+enXLJMEpZx+z71tUKil1U6zfME1STEuECZomv4XQF9wLg43wFlIi8BZfd8AMJimaYdXMJqmTwDoDWAugARwQrMMnBidDeAOmqYdOjsZt99hLB9n3L/CWN9cAL2Nx3FURy44a+8bxvYXGb/PDeP362v8vgQCgUCQiDMXiMPrr2L/amEkAutkDa4d2O6CmXO7k0XXAxYRW5BRhuObEkUnsQHAme03sWNJnGBCmjPfT2txfqvgKhIy5Vl15bB/9RW7sWDdRarUO5OyEytPzEGSiMVYzEf58tF0pFzKw8G14m4khdnlOPZPIoqyLaJ65SdHcSPWdjIaAFkqj2UZGBhb1wprGJbhjW8fUJF2UEq0Ckd4zAWCpukZAGZ4qK5kAK+5WUcOgA+Nf67WUQbgK+Ofq3VoAfxs/CPYwRRsX+khlwjOIX3p2xgMDPJvlyGqTbhy+9LBzVWnMZh9NIc+1BmhEVzCBD9/97+DFAvwjQs5uHd6HzsVcPtv+PY0AKC8RINxz/TlbWax64+LSL2UBwDIvFFkvatkdl7+AwDQLLwdmjRsKW9nCVSVaXHpsOgLUA9g+2XFHCDi0g8AAE7c2IKuzQYIaxARwNUVjn3Z1//vlPOm8USvHCvnlrgFKKrIwbRhHyPAz36ikDWnvkTziPa4t+fTqE2r75T3huBv4zh1hC/7ACvsqkaoryg24D5BNqQvfZtDf13Fph/P4sz2m4rtS0E8XisVwrcO3+RZ7jw9e96V2jKuF6GUl2Qi3yqRQFW5zix+bY7nokmtUuu9CX8VJRrnhTyEY3cP23MjSGHNsNixOA5x+9131+C/SbD3VkFMrOeUpkFrqEZ2SarD+iu1pUjOu2izviYTYLTp0QRNW4W5tK8vCWIigAmKQXFWJoLLkL70XUx+obH7UgHY9qWmUodj/yQKJgPVNKydjBTWGun4v0nQVOpwfk+K2erq5pHNn86l7sbN3DjZNWxbaIkNay0VxET6gTVXkJdeKrqN/30v7EkVfe3vS4LEhHiL7QtgsfKMwbI2K7kYaQn5IqUs6LXSXGSs+0FuODiGleOKU0suEMav1GVAc9er8IFhR+5SBAKBQLDFzr33+L9JuHQkHf/8eLZm28OH7wPMayjL2goUndaAM9vFw1W5Q0LmCey7ulr2fiV5lZYFCSoh8UwWNn5/RpIFsDYfSryNwxgQIueGf770IuHd/p1/TjAhsqzINX/mY/8k2qxLyDqJlHzxyKaMncxpSiSyWQMJpeyMSx9QwEQAExSBYgPuE2RD+rJuoIJ4X+Zn1E4MXT6OokD8O1+YCW3VnGPeb5CLWGsERyJ33dfO/VNrK76xxxENeSGzCobFzdgcXDudCTHNmZ1cjN3LbF0N5HLl2G2bdTqDBnuuWCK1ZhRdt7RLlgXYQs1a8rljtera2HlJHxC69iACmKAIlBpwnyAf0pd1B7G+LMgor8UW2VKcY5mxr9caBDP4PY2nb/Zy6hONGGHl83F0o6010hcscd6gOLcSe1ZcwsG1CZKsu3JDyslh28XF5s+uW4Ad92NJZR7+OjMX17I84erD0bxDI0x6faDH6lMaRAATCAQCwSUKMmtHDPOFIz8zll7n3bcOHrfC2TgBe7Z6V2nYyH6UAql0HdQC0e3CPdAa54j1Cz+E3NG/rzmto6bi1rrjAlGlq8CVzBPQ6CoF6zX6Kqw7+w1Kq/JxOOlvd5soeGaKbm/pw2btI9Cmu3OrsHUdSoUIYAKBQCDYYqUIspKLse5/wriyYiljawJ7GsKb1l9vYG0BlmthPvGvw3D2Ziq1pbiWdQY6g3jcYWt6jmgtqx1ihEYEIbxJiOg2VyzplzOOu9skUeIOpOHI39dqbL5ZYvZZdB0mTUQKYIHdl5fj2PVNOHBtrWDTtvhFHmqd5Vgm1LzrwJAHO6Gz5IlxylfARAATCASChygrrMKOxXG4nVRY201xG2s9sHn+ORuBKSejllxYlkVBZjkMelu1W2t+hxKPW1YobUKVjQ+wh0O1mdgSuwCHkzbgdPI2SeU79I1CZLNQ2ce5d3pv82c/fxUGT+iEoAbCdANHkjZi7emvbLK68RGz6CZmeyalsDUnt1zHlWO3kZPq+TTDYuM0s/gGFv71nfy6wCKnNBUAcKtQaNHOL8+QXR/DMmjbswlGTelus61tr6bmz/zshSqVyiaetm1fccvEAkwgSESxAfcJsqnPfXlgzRWkJeRj64K6kd3cWV96UwAnncvGhm9OYfuiWOeFawip93RBCmMZFXpr3mhpNZe+N7XgipOSHIFB/nj8w6Gyj9O8YyPzZz9/NSKaNsAzX40WlLmadQrlmmJcF8neBsgNE8bhiQciTaXrcxYqNOLi2Z7LzI20q6Lr+Yx7tq9g2ZPuNzqDBmtPf4WjKesR2Vz4oDNofEf0uVP8DYBKpYK/BxLKKIW6800IPo1SA+4T5FOf+7K8qOYSA9QErvTl7cRC0L+eR3FupfPCDrh8hMsylnG9yHZjrVmXpB/YLMoc7MIXNYfXX8X6ud5LXSwLFSd27nvGTkY7O6j91Daf+RZEKVxMPyKrvKcQe9MglR2XloquZx34+5oyFNptj8HqQcBFkV+tq8DuKyuQmm95+EnJv4wKTQl27doFtZ+wf7oMaC7oRz5hjYOhJgKYQPA89dFiWFchfVkHMN4X5fbl1t8uION6EfatvOyFRnHUlguE1KNWlmqw8pOjOLHlumQLcMKJDEHyhlrF2IyOd0SbV42Z2sPpbn5+/Nflrh36Zl58rfQvY3BdABdWZImud2S1nfzWIId12viHW9XlyIWEz5mUnUjNv4zdV5bz6rZ816+//xQ7L/1hPl54U1u/7UfeGoQHX4pBw8hg+FmLYzt9RVwgCAQCgVAvqSx1zxru6AZaEzfXVl0iAQBZJSlYdfJzLj2tiEVPTKzF7k9DZakW8QfSbBobEWVJLlDbIsEvQI2oNraRGkzZzfihwaLbRTitT2A5dFEBu+IC4YlXAt6IIBIQZF9iNWwU7HBfhjEI/PCtx9mK4x9LakOl1tY9gy+Ajxw/hFuFV1GhKcHYab0EfZ6WloaqqipEt4tAm+5NAMDGYlxSVWBVufkgktpXmxABTFAEJHlC3YH0Zd1BqX1ZExbC7kNbAQB2XvodldpS7E1YKSqzxKx8Oo396BgqwV2X29ed1+/uEBoRhEffGeywTMzYdug2uAUat3A+KU7tz7MA89bf90wfqP1UomLMGk4Ay+9fZxZVZ3hjTE153/G5dcSGLWuw+8oK87LrPsC2DyJidalUKqh44vbSpUuYOHEiJk+e7LA6Fsq6NsjB33kRAsH7mALut27dGkFB7segJNQe9bovayiUUk3B70t7XD52G5HNGqBVFxdCO7mIq1qlddfGDiN0aPXV0DM6NAgMQ5cBzaBSA0uP8MWsWMpdxlrVQqexWDGrK4STq/gWNpblElys/fKEzG/iGQIC/WzWte8ThbDGFuvkUKqL5PrUdvx9O/Vrhqh2DTHqrhHmdX7+ai7aRPNQ4LClrCO/WT58H1oWrPnYWcXJaBAYhogGUZLbDdgPrecOAUF+LsdC3rRtnWDZVYHOTyEdc097XDqSLnqOVSqV+Rz+8ssv+OOPPwAAWVlC9w6HKal9DCKACQQCwQUSz2aBZVl0H9zSaVmWYVFZpnU68UVJSM2MZUoy8NDLMWjdrYk3m2Qm9VKeS/u16dHEoQD+88QcMKwBTw/7FCqVCi14UQ0AceHNgkW5phghAWHwU3OCsrTA4p/JT8hgsy/D4trpzBqPp1xYkYWQgDAEBAndGkY+0hV9RrV1uV7BmLEaPrdvpwuW/QP9cP9zd3ALsyzrGZZByy6RiBMWt6FFp0aCZb1ejwPX/jJHl/jv6O/lNN0rIegYhvFghjl57Supyke29iq0BktIPpZhERjsJ5qMo7SqECvWLQHzdzW2b99ut16VE78Bk3XZBzwgiAAmEAgEuei0BhxYzc2q7tA7CjfjcpB5o9juTfTAmitIOpeN+5/riw59o0XLKA7efbs03/mEmyMbE/GfWcM92ADhufRE1jlHWmT4pC5YfJiz3OZV3JbUJgDIKUnDtouLEBXWBpP7vwEAMDjwJ7WOpSzl3LqD9evu4spc/H3uBwDAovHuZw2zh3+A0LpsMEgT+SzLIKpNmNNyAl9UFtiyfZPd0GpS0Eh4COl9Z2sMpbrAP0CNRTP3Oy3vSdchuRbgf87/BJ1B6IfPMizGv9APFz8+alOejvtNmjtDTaXMqwGIDzCBQCDIhD9bX6c14PD6a7h+PttuAoSkc9kAgPN7UmuieS5j7yabdqVAdL1gXy9HMNjwzSn3K3Fw8+41ku/mIV24XDMmaMgrc2KyFIFlWFSVS8vOxqdSW4rkvHiXJoxlFiebP/cd47q11xnBoa6GQZQmsPjRSViwSElLdlDaOVdPWpJJtO/dVLQMY2AREOgnsOpaJ/oQlHcggE0uBlKR6wNsLX4BgGFZRLcNR1QPW9cXqb68dUj/EgFMUAb1OXlCXaM+9OWVYzwLoYz7ktJvHic3Xxcsm/rx7PYUp/vqda7M3rePN16hOjr9wtf34jF8xR4Q3HnFrdcxSLko351j47mfsDdhFS7dtrXkOYNhLZZOe/Fe7fHwm84nmg0Y1wFtezYREZHC83Tg4t+Ijxd3D5Fi7bSORuCp601E0xAMf7ir03bd9WRPAEBQiH2hbzAY7P7mf/nlF1ntkuobDYiLXwDQarmHrXXr1olul4LU8V5r2RplUHfvUASfoj4nT6hr1Ie+PL3thvmzvQt96uU8bP75HNKu5FtWKlwAxx+6Zf6sgqUvpVBZamXJVOB3NfkvMiwDja7SahtvcpodP0bR2fO18EWrdGUAIEhuIBUDYxHAcrV78/bOQ6ENfqATHvi/fqiqFrp2iP1O/u///k9eA3jYCmDhsphFvmlr564VUKvsijy+i5OpDN/f2xqPukDIeNJedmyW6Pq35j6FlBTnD7OOkDpmzu1yzyJfExABTFAMddliWN+oT31pz9Cxc2k8sm4WY8eSuBptj6fQ6xjQCy4gI0kkE5sdlGz1iWwWiogoLpTX9vjFWHHiE5RUWR5OhDd21up/+6iczQryKrbta9vT8UREx24TnhHzH3/8MUaMGIHExESH5TQaW0ulzlAtSTgKrdeszTUnV0QAdxnQHAFBtq//BfWqHAhg3unOS5cQ0o1hUFTm2oRNa8QidugZ+embly1b5l5D+K7XDn7vV09m1lp4P6nUn7sUgUAgeAMZos9zM8I9j0EkE1ZGUiG2LYxFRHQDkT1sYXgWMk2F/Juztlov6hNbUeJ+iunHPhiKlp0boWFkMDJLbgIAErPPipZlYEBBQQH8bNK+KsMCbILfmus5FxCffgj3P3eHQJjoDZbzybIsDIytAE7KOY+rWdJ8rBtGciHSHPn4btu2DQDw+OOP48QJLsSbWOQBMTT6KqxevdppOX7WOYZlbASwvV5x6vahsh/pgH9epUTuYBgG1VrPTHL0C7D9Rn8c/RDXcy7Iqscd4wTLsghvbMkU58xv2F5YPKVABDBBESg14D5BPvWtL+vC1zyz4yZObrlud3tAgLRbxe5lF82fXcms9cf7h7Bi1hFoq/WCBwtXJooBXNizoVRnPPL2YKjVKvgH+OHJTyyxaDv1t8SK5Y/XPfGrMXbsWKRlJAtdI8Qedmr1Hm9pz4Fra3EqeRvSbqWiSmeJmFGpLTN/VvuzglfpWq0O5eXlOHjtLxxJ2oiqaqFbiBgPvRyDLgOaY9Lr0lxjXn75ZWNTPft2QG31cKKyEVsiCSBYFn7+jjtM5cgCzBvSzizJgDEMmodEoL0HiAPX1sqqp7DQfhhAu8dmGPTv3x8xMTGoqC7D1I+G4Y4xbZ2+8fHUd/cWRAATFIEp4L5OJ99qRFAW9a0v5cQPzUkt8WJLXENbrcf53Sm4dNh+FIP8DGkhyNIu5zsvJIHiXKEQc3aOtfpq5JWl29yQ1WoVYsa2R+OWDTB9+nR88cUXAqtUQDD3uUJfKDpeN23a5NTnsVYtwCICpLS0FKdubjUvD57QyfxZ5Qf0vrOVefnI0UPIzs7m1ef8oaVRdCjuebo3l8DCyM28eOxNWIWiInF3mS1btiA2PtZp3XKw9gH297MWpOL94swqqVbb93PlR82wfTtgS22GQbPH0aPyJ07u3r3b/F3uvvtuaNgyNIwMVrTLkxSIACYQCAQ3cJT2Vsnk3irFzdgcrwasd/kGabXfsU1JALhJX4cSN0BvEIrVTRfmYdOF+UgrEJ8Udu7cOcTHx+Off/4RrE9NS0W7+/RYffxrDB061Ga/v//+G3q9pX9dTUfLsgwqNNIffnQGLRKzz6JKyz14FFXk4OLtI4IJbKYWWaNSqQTH4lsqrftDq9MJhL/1doZhUFEhjFssxskbNJLz4jF//nzR7XPmzMH8n+eJbnN1jPhZuTJIebXfbVALCS4QKlHL5b0z+iC6LS+rm4RmGwwGjz0g1eYbtQ8//FCw/MQTT4BlWZ9OgwyQRBgEQr2FZVlF+6QqDXvna/PPrgffr03++YGLX/vQK/1l7Tfw/g44t0vaTPLctFI0kxA5wBoWQn2RnVwMANh9ZTkAICKkCWLajjVvN01mu5Ebh/ZNe9vUZzBY/F5NPqkAcPLkSdy+bS/phUi7RMSaFN/Zg9fW4XruBdzbczo6RvVxWv7kTRpXs06hcWgLTBn4Njac+w4AF95qQLt7zeUCQ/xt2qVWqwUT87777jtB+/mTqT77fA6mT59u2W6l6vr358bGmjVr0KtXL/N6jUaDggJLbOgKLSe409LSnH43a9LT5cdPBpyHQRO7tDUID3Jq0c+/XSaI8/3UpyOh0xoQ2SxUUE6KcGdZ1mN+sK4+fHkDk6Vfql+3UiEWYAKhHpJ4NgsrZh9Bdi2/kjcYGEXPFC7ILMeWX87jwt5U/PnxUdyMzbEp42r7i7IrcO10pldSsMrB2t3AGZJCSRkRm1gnCRYocOB2wfdr5cOwBlRpy1FYkSVYz483O2/ePME2OQKYn1ZWDtdzuYlKsbf2SSp/M49rr/X3yC0VCkyTBrO2xDVuIRRrlvKsjXXzzz//tGznjcWrV6+aP2/YsEGwzxNPPIEHHngAeWW3BVZpsagOznDVAnzw3DbBsjMfYD+jH7uUn1tQiMU22CA80Eb8AtLCf3MPXp4RwP4S/fBrCnsuEEoS6s4gFmCCIqgPyROUhCmN778/ncWL88Yi91YpSvIq0XVgC7frltqXLMtizWfHodMaMOOrUTavNJXAjiVxKC+qRuYNzuKxZ8UlvBTTzPUKeffCdf87CYCzZHUd2AIFmeWoLNWgTXfHYaw8jld9IFzbrSBTXODyOXp9E/zVARjW6SHL4VgWK09+CgAY2WUy2vR8EACwZMkScxk/K19RtVotsBA7Yuel3yWVs4en37iYfHb5ljiVSoWGjULs7eKwDXwfYL4/b3FxsaBccjIX4/VY+l/IzbM8FCYkJOD999+X1ngjrkzKAoAVa5YKlm3D0QkHn+lbs7yHsjsf7YajG21DtfkH+mHanBFQqVVmlwmWZbF69Wp07NgRI0aMkPTgevToUfz27wLnX0YCubm5HqnHU7Tt1VhWcg4lQgQwQRGYAu4TAex9GKsLNz+nfXjTBpKC3TtCal8a9Iw5vNW5Xclo2SkSep0Bl4/cxt3TeiE0IsitdniC8iJbi9/xf5Ncri8kNNBmXe6tUnQd2MKc6vfxD4aicYuGLh9DLmICwFPIiQTBtyZpKh37VVdqSpGcz0WcGNT+fvN6fozbY9c3oXHLhngQQhcPawFckxN5VBJfukqVyaa284WIo4dPZw+mOr0OaWlpSEtLE5wnexNa+eLXxO7duyW13cQzzzwjq7w9rOPkNggPRGijIFQUG63SRuHP7+7ed7bB9fPZyE6xfRMW1lj4EHHhwgX88MMPAIC4uDhJz40LFnhG/CoRhmHQuKW08IhKhagNgmIg4tdz6DQGZN0sFrVSpMTbtySU5Dqf8CIFKX3Jv4Fc2JOKbQtjsev3i7idVIijG695pB3e4CIvW5pcxMJ5WYudgixpERdchWFYHF5/1XlBD2DQy0iPzBsP1g9ptkUt2/mi1/r1K314pc2+1mOzJicXSbEAn0reBo1eWuxYiwAWZihz1dI8c85zmDhxIl5//XVcuGCJL2sSwJWVlYL1SsK6X/vf1wHTeCHvTKeE79/rjPLycvMkSH60jAsXLrj8dqOuYDAYwMD29209QVXJEMVBINRBti28gM0/n8PlY7YTTBzFVK3JSXGOXiFWlSvkIuqF01FtnSDC6pzLuUG7QuqlPCScyHCjBhWGTexiXprwYozdkoyBRVlhFRfX1wlZKcXmz85eL/PHKV/08pM+mCgtFWbsqskx3iBcaPF3FBEgs/gGrmadRnz6IcH6fmPb2d3HkrJZ6AJh7wFUqqsHAFy8aInpHBoais2bN2P48OF49tlnJddRkyxfvtxqDSuI+GDyEZZq8c/Ly8PIkSPx9NNPAxAK7GeffRaXknxz8qun0Ov1YGyikgC3ixJxNOkfkT2UBxHABEVQ35IneBvTK72rJzNttjlM4ekBbWDdl5oqPYqyK3Bo3VUUZFqsm94Weq5QWaox+/tmJRd7xcpTUSx0q7A+5YyXJwXaCHCZ+Pmr0O/udnj68zvx3Ddj0LaHfZ/l0vwqrP7sOFZ9esxpvVt40TQYhoVGV4mj1zchx2riFyB0JeD7v4qlht2xY4dgmT8hzttYi22/APteh1vjF+FI0t82663Pb4e+luQdpvHJ8AaqIzcHg8EgWQCePSvMkvfpp59K2k8pWH9PswVY4qRTU8i8hIQEALYRLpZu/E50bNYXGIaBwY4PcELWyRpujWsQAUxQBPUteYI34aeNFbvYXzudZbPOgvsKmN+XBj2DZR8cwrr/ncTVkxlmP1d7bTORnVws+UblKjlpJdjyyznk3rI8EKyccwxbfjmPW1cLsHn+Oa8c1zqDlfUpd+fBgGVZ53GJ3exik1UtNCIIgcGOp5GkJ3ITnKSkjeWj1zE4cZNGQuYJbI79xWY7X1iWV1sma+WVuRZSy2tYnesWHRqh/73tZVXBD/elZ/Ro0bGReZlhGZxN2YV1Z+ZKqkur1QomBErl0KFDsvepbWyFPncebaIpiLwROHv2LBYtWiRYZ70MALfLE9xqoy9jMBhE4lL7FkQAEwgKw2BgcDuxADqt+OtKluV8OC8eFvdFLSu0+A9WlWtRVshZHHUaA5LOZYvuY8JmIrUIWTeLcWDNFUnpaR2V0TsRatfPORLq7rN1wQVk3ijG1gUWy6Pp1fvlI94TUuZJOUZUKpXglb87b0F2LonH7+8dQmm+MLRZaUEVGOPsd3cfcazjrzrC1RBvJXmVKK60nWAlxv6ra1w6Ro1g9fX9/Pxku2AkJF0yf84svmEj2C7c2gctz2eYvEUTx3Ta7vpPL0AFxNzTHgDQfYht5Btrd4q5c8UfMM5d3y+6vj4wY8YMLKG/qO1muAURwASCwji97Sa2/haLvX9eEt2eeaMICScycHyT82gE1eU6rP7sGCpLNTi0LgH7V112WF7KrXnzz+eQeCZL0vHFXAj0Ok7Y71/j2HoiFoHBk+g0XDu01dz/fItRWoJnUvqKsfP3OOEKldAabtC7bgE2tTuB5/qSejkPaz4/jh1LPfPqX6utxqxZs3DsmHO3BpM7CeDc99LA6JFVkgIDY0DqpTzB0LlVeA1ZJZbkG8l5Fv/Ukqo86Y33MvzvOPzhrjDoGUHMYrVaLekhk8+Bw3sFy/wYtWLnNDPT1u2pPmI6NwbGgH8vzMfei2sBcC4lz3w1ypwiuvuQloL9eg5vhepq4bVn3bp1NdBiZTFlyhSH250mMPGBHEtEABMICuPyUe7CknZZXIQ5m1AkpjPy0stw44JzixrfOlVVrsWVY7ehsfP6usTKyph5owjXzwstzGJt0WkMYBjWnN3LQWOctteTXDtVM8JBrxVa6K6fz8afHx81L3vSN1pTqcMB44NG+lVj5i43TqtfqA6TnhiP7du349VXXxUVYFFtxBNlGJyERDt6/R/QcQtw8uYWm207L/0OOs4SUoof+UEKkZGRssq7ypIj7yK7JBUA0OfO1mAMDLKKb5q3c1na5HXA9p1bBctdBjbnLdme/88++0xW/XWVpk2bgmVZ5JSmIrcsHQm3T5sjOgSHBpoztKlUKjSKtoTzat0jUrGRLmqKsLAwzJo1C82bN3de2A4+oH+JACYoA5IIw4Kc++PtRJEg8mKi0447he3BLR93LInDkb+v4eDaK5J23fLLeexbeRkleVXmvmRFXscyBtb8Ol5JuBcZwXUqijXQVFp838XOmaus/fKEoG5X6DQ6BHfc3QZPfTYSG8/9JNhmbSkDgEffGSKcqGXEZPm3R2I2N+nqSuYJh+XkMnfuXEFSB2+zJe5XAJyvdKPoUJufY5azBz8n8BPGMCIPICUlJcQKDM7d5J133sHW+IXmddu2bRMty48WkZUt7zpQoandbJreoHPnzu5XUsMGDFcgaoOgCEzJEwICAmq7KbWOcwuRZfvW32wtFWKpKJ1OjOId25TaNzeNmxyWclHeK+bLhzOA/Cbw9/fHic3XbbYXZJZBL1WQ1yBFOZ6JgSwFKTPxc1JLkONmqmrriA8GPeMwFJc1/e9rj3smDcPwid0QEKKyyUZlHWKs54hWACwiTTCBi2cB1msNKMgoc3IelBclRCqmkFujHuuOpi3DzesZhnG7T69csTyQGgziv+ukJNeTtdQVGIbB/v1CH91PP/0UWVm2cwv443Teom9kHSej+IZrDXRAhw4dPF6nHEJCuCQgQUGuJyNSvvwlApigIIj1l8Pkm2oPa31cnFuJ+INpFlEp5ncrUXCe252MJW8fwMI39jkta0+oJ57JwvndKchJLUHKJVvxvH1RHP758azInlbUYIYuwPUJW1Jo1EyYMenYP/azr7Es11+bfjqLTT+dlW69l8CStw+gOK/SeUEj/gF+5t+lKRwUH61Wa1MesAhAvjsHf1xv+fU8Nnx7GsnGpCxbfq1bMVVNP42oNuEY/EAn83p7E9QaNpIuNJ588knz55CgUNcaWA/YunWr6Prx48dj27ZtMBgM0Gi4Camm/jqc+DduJMt7eDh47S+32ilGv379PF4nwL0NkWJkeuuttwAATzzxhMvH2ha/pEazLLoCURwEgoKoLNU4L2TFX1+dwInN17H03YNgWdbGDxcAdBppr9ULMlzLQiZ2oYt3kDGtNF9apqua4vi/SbLS9spB7afCEx8Nx5MfDwcA+Af64fLR23bLn92ZjOJci0iVG0IMALJuFuHMjpui2+IPOo9daspE5scL2Sb2gGoKWzj4gY6IaBpinllvEsB8+H1ueruQcCIDZYXVyLxecy4KjggLE/dfloua9/2tz5vpIYHP3dN6uXSc0CDPtFdJjBw50iP1HD582O622bNnY8qUKRg9ejSqqqrMD/PXsk975NjuMnz4cIwbN07WPlL83P38/JyGGn3vvffMLhCPPfYYOnbsKKsdJtILE80PGEqFCGCCIiCJMDjcjX1blF0h6st6epvnX9PxDcBiD/rJcfZTLktBp2XM7hieJidN+BranfTGznjSmI41KJTLCibFGv/3d5YbsSvnIDulBOd3pzgvKEJK/mWsOP4xTifvQHS7cPPv0pEAHjCuI/7z8Qg0COO+o1pEAGsqddDrDEg8a3kFzRhYu9E+vJFStX///g63d+3a1SPHUdkRwAzDYOSj3QRlI6IbILiBa65foTIsxzXB//3f/7ldx1133eWBljgnOTkZ1dXVSExMVNz7erVajW++keeK4e/vOCY3IG5ZfuCBBwTL/Dd7arUaw4YNk9UOPkp/q6vs1hHqDSQRBoe7aVq9nV0t/3aZ6HpvTGqL3ZeKtV8cd1imIKMMt65KD1nGsizO707GJikuGB6iYaNgAFz4qoAgW+ufMxwJ5soyLS4euoXqCucxmU04GyPHb/wLAIhLP4AmrRuYf5fWmbAA2P29isUK1usM+Pensziw2uLDyhgYFGSKj6kiiXGA5dC4cWO729544w2PpUlmIN5nDMOgTXdLZrc7xrQF9Up/qGTEVubjH+LSbl4jMNCS+rlXr15YtWqV+XW6VMLDw50X8iAzZszAb5s/FmQU9EWkCOBGjRrhscceAwAMHDgQu3fvxgcffCAoY/02b8SIES63qSbTjruC8zNGIBAcsvfPS7hxIQejp/ZAz2Gt3KrL3euFt3yuLh9NR/veUdBU2QqeylKN2ZfT05QXO36FtuFbzlL6+AdD0bhFQ4dlK0o0WPnJUYdlXKFp6zAU51bYhDcTwy9A7dTH2xpHrhm7fo9HTmoJ0hLy8dDLjq2bUrE3hmbPnm2zTqfTITc3F+Xl5YJXpWIuEIfXX7NZl51SYk7bXRMEBwfb3TZw4EAcP+74gUsq1TqLCwv/rVZ2djaCQvzx5CcjoPZTISQsAF999RW6duzp0nFqMlxXixYtRCeQ8enRo4f58z333IM+ffqgT58++PHHH23KduzYEVVVVTZ1tmnTxjMNlkFBaQ6yS1x7Y+IKkydPxqZNm+xud+U63rRpU4f9ExERgYCAADz33HNo06YNKIpCREQEqqqE7mh9+vQRLA8fPhyLFy9Gbm4uPv74Y1ltIhZgAqGOY4qve3jdVZf2ryzV4HZiIXfRk6CAHT1V56WLW9Pc5ejGRPz9vZV/nLEde1dextGN9id11QRSIjic3GIbkcITTHl3CAICxW0JE18fIFj2s06DLAFH8XNNEQVEw+G5jO3N115UAb1ej/vuuw+TJ08WRIhgoUxrGt9K1qKFMAOYwWAQ/LbatGmDr7/+2qXjVOstvvR8MZORwbknhTcJQcNGwdi3bx82bdqEud9/6dJxPIEUyyEgLb5w69atJde7adMmc7QBPrXlBicnra+7rjKvv/66w+2uCOA2bdrgs88+w48//iiaxKJZs2bm/5966ilEREQAgGBS3KRJk2wEMAAMGTLEpZjARAATCHWYgkzXJo3xWTnnGLb+dgFpV/Jt9O/CN/bJfsXvLarLdaK+vt6ewFRRYrECsyzrclSE8mIvZpaz80zSuLnQKu2SADb6AB/blIh1X5+ETqOHplInyLLmScTG0FNPPSValu8Ccf0694CxYcMGvPPNDGQWi0/Cqym6d+9us87Pz+KCsnPnTsG2Vq1aoUuXLublgIAAG/9IqegN3JgtLi7Gl18KxW1OTg4WLlyId999F8XFxS7V70nEhCrfmr9jxw4sWrQIgwcPllWXFGEtJnZrK3JAuUb672nq1KmgKMphmaVLl4qmUG7YsCEaNWqEM2fO4MiRI6L7unIOAgMDMXHiRNx999346KOP8N577wm233HHHaL78X8TMTExdut3xZ1B6S4QRAATFIGvJsLwhAA2hd9Kv1YgKjC3L4rjyrEsDE58bY9ssH3N7FFq4ea08pOjOLg2ARUlGuxbeRm/v3sQJTJCebnDXU+KvJoWuaZnFN4EHfcbCsotCQhyS2/hx5++R1mZxSrvigDe+tsFnNp6A5cOp6MopwKx+9Ow6aez2PKLd0KHsTxfSGe/SZNFE+AsqADw9ddfQ6fX4nDiBjdb4t7NUyx9rfV3mTNnDjp27Ijff/8dUVFReOWVVxAVxSXxcNX6CwA5Jdykyu+//x6FhULr/JdffonFixdj7969iIuLc/kYnsI66sJLL70k8Ntt2bIlhg4dCgD44YcfHNbFF718YSWH2hLAR5I2Si47atQovPbaaw7LDBo0CPfff7/N+pUrVwLgBGt4eLh5vLkL35KrUqkE5//VV1+1a3Xmi1RH517uvVlOvPHagvgAExSBKRGGrwlgTwpClUrlsL7dyy4iI6kQd06xtWzVCizrXasqj2unM1GQWWZ28bh0NB0jJ/Nm00voBle6qtMdzXB0wzWBH25AoJ+NH+/fJ+YDAHZdXoYnh3K+sv/G/gzEAjqDFnPmzAHgmgAGuAmBJlyN7iAVfiIV0+/SHl999ZX58549e7Bjxw7zskrl3m9ZBc+nwrAWZQ8//DAefvhh83JoaCj27t0rKDNs2DCcPHlS1nEOX/kXBw+OQnx8vM02fpY2U2re2mLGjBl49tlnsW8fF/f7+++/xz333IPy8nKoVCq0b99eUH7s2LEYPnw4TpwQz9Yn1wI8atQopKamonnz5ujUqRNyc3NFLfdiPPbYY6isrLSb3c1bjB49Gk2bNkVlpfyH8LZt29qEFRMbA65agO3V8fzzz0uqw/QQK4Zca67Srb8AEcAEBaF08XtudzL8/NWIGdvevM7ZZSr+0C3cupKP8S/cgYuHb6FBeBDUahWCGgSgXa+mso5vysjmbngxd+Bfl7NTSlBVJj36gLsI/JutTryk24ULNxU/fxUmvBgjsLaKTfAyUam19cG+ds1ilXdVAEuhqtwzfcG/cV65cgW7d++WtJ+1EPFTu3t7cV0CP/vsszbr2rZt65JVsn///rIFMAC8+eabTstYi+2aZvr06QgPD8fXX3+NS5cu4e677wbAvaY/fvy4aNKEr776Co899hjy8myT3PBFrxQB9PLLL6Njx44YPnw4oqKiwLKs5PvAyJEjERUVVeMCuEEDLqmNowmV9hD7bp56CLIWwK60z5MWYMXFlhNBMQKYoqhDAEbL2YemacEZllHHdpqmH3TSnoYA3gDwCIBOAPwApAGgAfxE07RTFUJRVACAFwE8AaAbgBAAGQB2AphH03SyhLYSFEBlqQZnd3Dd1WdUG0swe6sLhk5rQNbNYrTqEgk/fzVO/MtNHjry9zUknhHO0H1p/j02x1F44hzFtO/SkXSMfIRvAWbBMCzy0kvRtFWYQGiWFVYj62aRS/F0VWoVWna2BJhnWRbBDQLsJqcICAgAy7KCmz8/GLynRKoY2xfFul1HpX8OtAaLVZ+fdUwu7gpgJy9EHNKqFReNZdmyZZg/fz4aNmyI9957zyUh+/TTT0OlUmHkyJGYOnWqaw3ioUTL2AMPPGDj72wSetZERkZi9+7dojGV+QJYihUzODgYkyZNMi/LOTcBAQGSspp5GtP34tyD/MAw0uckiIlIMaurKxZg6/574IEHsGfPHgwZMkRyHY4mIMp2gXDzDVBNoPwW2ueityqmKKqrsf4vAcQACAcQCqAngA8AXKYoariTOqIBnAHwM4BhABqDE8CdAbwG4CJFUZO89BV8DiUnwmBZVpA4gZ8y1/oy9fu7B7F9USxO0sKIA3nppTb1WsfOTY7PFUz4EpTlH1MpKhTejzssFRacm8CmH8/i4Fphyt51X5/A/tVXXIqQwb8hZxbfxMoTcxDYKReBIeLiTqOtxtrTX5kzqQFcuuAff/wRL7/8MgpyimW3QSqeiACy9cwyD7SEI0BtsUjJTdhQrimGOxakoCDueP3798eff/6JBQsWoF27dnjkkUcwbdo0/Pbbb7Lqev755yW/mnfGrVveS7oiF6kRIKyxJ4bs1WctbCdOnOjScfno9Xp06tTJ7MIip0+d4WgyGB9/P3nnTyzEm9i5dOUaz5/ACXAW4d9++w3Tp0+XXEfbtm3tbpMbBcIXfICVJIDHAwhz8sf34l7uoK5jTup51N6OFEWFgbPQdgCgB/AJOAtwSwDTAOQCiAJAUxQlGrCQoig1gC0A+hlX/QygB4BmACYCuAFOUP9FUZRngnf6OEpOhHEzLhe7frc8b2XeKLZstKPXLx1OFyyLxXL944PDAh/aihIN/vnhjGh9qz89Zv5cm5LT+sLsbqa2gCA/zPhqFKLbuRf8/va1QpzbxVnorVNBu5riOK0gAZ9//jmqq6vhH6DGrsvLUK2vxFffOQ4HVa4pxoW0fZa23b6NlStX4sSJEziUuF5QNrxpzWQyqNCUOA30X1ZdiOKyAo8dM6fMkjijz53yYrtWad2bXHrfffeJrg8ICMA777yD4cMd2i+8ilZbc25DgOOQXZ5K/WzCngX4ueeeA8Bledu2bZvZJ94dgoODoVKpMGfOHMTFxTnt0zZt2kj2hXUU75b/veQKYLFY2vPnz0dkZKQg85uYAP7ll18Ey48+alfGyGblypX4+OOPHVqLo6KisGzZMsmxgJX4psMaxbhA0DRd5awMRVGm9086AGscFDXQNO3qFfRtACYv9Zdpml7K27aGoqiLAM4BaALgCwAzROp4GsBQ4+evaZqexdtGUxR1FsBlcFbhHwDUTO5HgktcO50pWN6xJA7/+Xg4Ipo2EEwYckRpvu3w1msNuGgllO0hsAy7oYCrtOVIyDqJbs0GoWFwI9n730oQhmRzNwoGy7IIaRiIsdN64a+v5L+eNmHdRzdic5B3qxRDHurscp27Li8DLnOxTae89zgW7BO3zpeW2lr3L94+LFo2Oc/yINW5fzMEBPmJjg1PcqvwGnZe+h3tm/TGuN4z7JY7fmOzR49rYPQwMHr4qf0RJDPV783cODCsa+HuAFt/yPpMTc6t4PtY8z//97//xYABA9CvXz/R2L9ymTBhgsPJmWKEhITgv//9L37//XeH5e6+a6zDB4NRo0aZP/v7OR/XY0c8iP3HOT9lsYgPAwYMwIEDB6BSqfD+++8LtgUFBZldqO68807BtuHDh2PjRumRKxzRt29f9O3b12m5/v37S/Yt9gUBrCQLsEMoiuoCwPSIt42maVsPfPeP4QfgZeNiopX4BQDQNH0JwArj4pMURUVal4HFUl0Mzo3Cuo4sAN8bF8dQFGUbeZqgaNZ+wc2Crq5w02LtwquutCvS4wJbc+DaWpxL3Y2t8QvtlgmNsP+6OjdNKPaO/SMvAUbzDhHmzzqDBrsursTevXvRKDpUVj2A49eEe1dcQtyBNBzf5H6CjuzsbJv2xTzYDDfz4tBqsJ/ghigHtVol6P5+d7dD10Hyg80742I6J8ZTCy47LJdWkOBwuytU67gEJV0HNUe73tInfcbfPuTS8R544AG8++67Lu1bFxkzZkytTS7mHzcgIADDhg2TLH4XL17scPvs2bNlCyyWZSVNgszMzHRYju9rG9zAuWtPoL/zhzHr72K6tlk/yPGFuRL61dfxpW/yDO+zI/cHdxgOzr0BAGyDSFowbfMHIJhMR1FUW3B+wwCwxYFlm1//JHnNJCiBylINTtE3arsZsrhdxE3KK60uQKsh4jeQ3ne2Fl0PAGFN3LPe3D2tl/lz7K0DuJkT57pgkfDskH9bnl/sc9+M4ap28mDywhvTsC9hNT75zvlMf7uoVILJdMMmdsHYab1dr88OUt5SSBW/+/btQ1xcHCZPniypvNboC+0f4IcHXuhntxz/wUgOb7zxhmD566+/dmvini/hLBEDAMyaNUsgrpo0aeK19lhn1nM1DjAAm1fx1slEXEEswkTv3ra/t2uJVwVtt7aM8s9nULB33zSMGzcOAMzh6H766SdBO5zFZa5NyCQ4D2H0qX3auJgNzkdX0n4URclx8+C/UxEPdMhxChbvzwFW2/jLduugaToF3HcRq6PeoYREGFXlWuxffQWZN4pgMDBgWRYswyL9qrhf5J8fH3X7mPEHa29CzCffvm3+/J/ZFv85c4QLEW7G5rh1TH50hkqtxZrsyqQP/sREe2irLa/RpRzDP5D77qXVlj4Xm6XtKF6mM6qModJUKpgtvnwf6Gf/NxotOjVCs/auiUJbHH9vA6Pn3D0k0LQpZ8U9e/aspPIMy6BJq4ZOy4U0dE1IREaKvYCr+zRp0gSff/65zXpTulsTwcHBuHLlinn5iy++8FqbrAW5OwIYAPr16wcA6NatGx588EFBYhJXXq+LTbB+6aWXRMvy70MDBw5Ew4biY1jSJEI3PAHefvttfPzxx1i6dKlNu/z9/TFy5Ei89957WLVqlesHkYnUe7QvTIJTjA+wE+4F0Mr4eRVN084C5/WhKOoGuIlsaoqiCsFFZFgDYJ2D/fnTfO3m8aRpuoqiqGxwE+N6uFKHkWQAzUXqUAzWIZ28hRISYRzflITr57ORdDYL/oFqdOgTjSEPuu5DqqlU3oQ+MViWwaJlvyAz24DuzQejcQvngsW143BC7PEPh6I0vwq3/zqIxO3ctpiYGLz2f2+jVWBfpFyS5t3077xzTsuYMucZGD02XZiPpg1b4q7uT9gtrxaJ8avX6z2asGDlyc/w39HfQ6VWoX3vKEx5bwgioiwhp4IaBGDS6wNRWarxyEOWPeFfqS1FlbYc6YXy3UTS06X5rjMsg/HPi6dg5TNicjfgV9nNUFRElJpk9GjxaJ+m6BcmrP01hw4dCrVa7dFoO1FRUfj4448xbNgwAFwa5eTkZFnht8T44YcfsGnTJnPECFNoO8A9/9KGDRuivJybuyD2APXUU0/biHd740yKyHdFCJrugyEhIXjkkUfM6/n9NnDgQAQFBeE///mP7PrdQbIAJj7AHkOu+0NjcJEb1Lzl+wGsAnCCoih773j5HurOTF2m7daObZ6oQxHkppXgz9lHce1MpvPCHqC2fYtK8i2ZffRaBtfPZ8PP3/Ufccplj7upe5x7Z/RBs+HV+Ouvv3A4cQPufLQbWndr7FadYiHCWJbFtouL8cZbryKyWSja946yifjxy5IfcL8EsSSHklyuTzOKrqOwIgtJOdLSB/NvWjqdzivRSVQqFVQqFZq2CkNAoMiN1Ms3kFUnP8fG8z/idMp2SeU//PBD8+d77rGNYS0GyzIIa2xxmxFL/tKwURDCGssP2g/YWjxrE7EZ/t7CXvxb69i91uXUarXLoc/sERYWhlGjRpmPtX79ehw7dsxt63yTJk3wwgsvIDo6GoDQ2urKvcIkYvnnpEePHjYT09q1bSuon2VZDB48GIDlDYicdsgRgk8//TR69eqFsWPHOi1bGzGQAenfxxcswIoXwMZJZpOMi6dpmr7qoHgqgM8BjALQDkAQOEH6EIBDxjKDAOymKEps1g3f9OUsx6vJt9faXOaJOhwyc+ZMvPzyy+a/V155Ba+88op5u06ng0ajEfxZP/FLKbNnxSVUlWtxcE2CW/X4YhkTGjdCFgUG1e4Llp4jWzotc/Acjas3LJEJet/Zxm2xFywy479aV47M4hs4f+EcioqKAIi/ktRoNJg6a6jNenfh+8EOfrCj3XJHjhxBYvZZwUVeq9V6JXTVhavHMWnSJCQkiP++PPU8yP/ul24fxeHEDWCdhEQTo127dubfDj99sCPaDAzBJ598Ys6Gd+/0PpjwolWMVRXX7w2C5U+EtI4E4O3rhiM8GZbKGYGBgaLt+fTTT82ff/75Z+h0OoFI02g05gx1Jl9pV8+PCVOYNVMZhmEQEBDg8b7gW1v1er3kazgfhmEE5fR6vY1/sUqtEhzLYDDgww8/xH//+18sXbpUcCy+Zdg6MYi965ujNr/22mtYtmwZWJYVLcM/nlarrZV7pdS3LvxrqDfb4w6+4ALxBDghCzix/tI0PUNkdT6AbRRFbQewAMBL4BJavAmRCA08nPWylFHgiTps0Gg0gsHl5+dnni3KMAxiY2NtBk5UVBQ6deokq4ym2jK4YmNjXa5Hapny8nKBBcObxxIrw4jEtL186ZLNOqnodZ57bS6Xal0ldh7ahGi2D0IC7AuLBQsWCJZN56dplwDkX3dNCEe3C0eTjoFIOctLHsIb6qYbsphbwU8//YR169bhnh7T0Cm6n0vHd0ZGxm3R9bEZe7H4dS7t7/29Lal0z5w5I3nSlxxWbuHe+b/55pugKAo9e/ZE27ZtzWPVY6/3edWcuLkFANAxSr6lPSgoyPzbuX1b/Bzyy2o0Gvy8lIttunXrVsTGxiIgyA+tuwktg1qdlqvXBVEeFxeHwMBA8wNKbGysV68bjqjJJD7+/v427Vm4cKHAShoYGIjY2FgMGzYMx48fR/fu3XH8+HEMGjQIO3bsQIsWLdw6Pz/88APi4uLw3HPP1cj1mW/xjIuLs7FEmuq5eVPc8zAwMBApKSmCumNjY5GcLEzIWlhYKHhoyM7ORnJyMmJiYpCTk4OcnBzzsfi/0aFDh+LChQvm5ZSUFHTq1EnwIse6z+SeH/7cgxMnTpjvlzV5r5QqOk394+32DB3qusHEFwTwDOP/VXAcmcEhNE2zFEW9CYAC5088DbYCmB/UNMRq2RrTez3rMtZ1OMJeHQ6ZN2+ewLcrICDA/INVq9WIiYmxGST8i4fUMoFBQdBWckZsU2YcV+qRUqZXr16Ij49Hz549zX5s3jqWvTJn9LYeK8HaaHAvFuTDWOk7PaODn8pftm+UKZaqHA5cW4v0wmto2SgWD90hPtFDDNP56dVTj5Wzjss6pokhVAckJF4GePOkrLWcwWDAoUOHbPZdt477ie+7uhqNQ1sgMtTzr7hbtmyFVX99jYjgJhjQ3pIw4cyN3ebP/o0sF3mxOL/uwrfA5uTkYOnSpRgyZAgWLrSEp/Pzt1ih7n+hN6or9Wjfuwn8/PyRnVyC7YviROs2MAaoVSreLGxbId2yVygg89muZcuWaNy4MRiGQe/evfG///1PtNxLL72EnTt3IjU11byOZVnodDrzterR9wZh47fcAAnwCzBeX+S/Mo2JiUFwcLBZAMfExHj1uuEIZ6/DJ0+ejE2bNjn+QhIJDAwUtCckJAT9+/cXbXO3bt1w9OhR9O/fH6mpqWjVqpU5HJlKpXLr/PBf1Xv7+lxWZonoIpaGOSAgAL/88gt+/PFHJCcn2wjbRo0aoUOHDgLRGhMTY+M33axZM0FfRkdH2/S9qc38dlpnGOzQoYNNG+3VA0g7P/x7R3BwsPl+WZP3SmcPvxZUNdIed1C0CwRFUb3AuSwAwCaapp1P+3YATdMaALuMi90oirJOds4PsBrtpDrTndk6RIAn6nBIUFCQ4M/6whsQEOCRMirehCBvH8vf3x9qtdoj30tXyaIku1p2PQaRjGHndqTarJOKXmd5Wi+rLsIfRz/EvqurZdVxq+Aqfj/6AS5nyBOj6YXcK+fMYmfzMG0JCAhAaMMQ3DPdtZBc/KQHN3LjsOvycmj1Fv/q999/H/fee6/Tejac+84cR9Zd+P5olepcXM85j3Npe+yWj+4qL3WvXLQGWyvK6dOn8e6774pGmGjaMgI9BrdGSIMQBAYF2I2aYGD0WHv6K/wb+7N5nZgduW1P+X7ezZo1M/927M2KB4ARI0aI+if+/LOlTSGhlvNbUaLlfoMu+DwHBARg/vz5iIqKwrfffuvVa5S7PpfvvPOOW/vzCQgIELSnXbt2dtscERGBBx98EE2aNBGNtOPJ8+PNMhEREfjjjz+watUqm+2mMi1btsT333+PkSNH2pwzlUoFtVotePMUEBBg4zft5+cnEJr+/v5228wX09b1WL6X7X3U1fPDPx7/flmb/WUPfhg0b7bHHZRuAfZG7F++ma8RgEre8jXe507gojTYQFFUCABT0ENrn2TrOg44aIvJGdGRX3Ot4QOTOEVZZUwbPPXDYYhsLt2vUKd1PbSVs/quZp0CACTnxQN4SnIdJsF8/Ma/6N1qhEfb54y23d2LGcqwDPYb2x/gZxFsp0+fllxHWXURgh24cLiClOqWLZMWFsxViirE58fu378fp0+fxvDhwwUh44JDhYLXXnrngvJMVGpLBSHmxCSwdVpVVzh9+jTWr1+Pu+66Cw899JB5vVqtFp0dv2rVKrRt2xYFBQWortIiCD0BcA9pc+YcRfPoVki+lSS7HTExMdi7d6/rX8RLPPzww/j3338BcK9yrQWSO0iZjOULs/DlMmCAtIihzz//PK5cuYIHHnjAJvRbdbVwao71pEDrc+ko81lNur0Ayoh6ItkH2AcmwSlWABvj904zLqbBsZCUAz9ad5HVNn5cpWEA7F1Vh8BiPbeOxWRdh002OQCgKKo9ry3O4znVAsofvo7JuVUiSwBXl7vm86ozaJCYfQ4dmvZGaJAldqum0mJpcPXC5cpkJXfgh71TiYQEk8M/5y1B24WCTDpqlXuxRMVwJ4avp3CU6WzPnj0YOnQo/PzVeORtbvZ5QJDwPNiLEWyy/PMRG3p5ee5HKAkKCsLTTz8tus2eleirr74yf35q2Ccoqy7ishLGu92cGmHJkiVYuHChU39gAJgzZ45ZAHuKESNGoGnTpnjwwQedllWCWKotwsPD8ccffwCwxD62dz6sBbD1g4MjK6MUAezJB5EePbiIqe7GWHYHqaLfFx7AlOwCMR4WF4E/aZp2+9dstNyONy5eE8nSdhwWF4apDqp63Pi/HoAghhBN07cAmK6OkyiKsvf4+Djv82YHx6o93BRAsg7ljUQYNaQdj9/YjOM3/sXqU19ga/xCFFZkAQBi96UCAJJyziMuXf7z29SPhtkVodeyz+ByxjFJ9TTvyIml4spcp2X5rwftXcD0jA63i5Jg4Dk5mxI5dBnQ3NyPpvMAAE1auhZbWG18jRYR7Tnr2ffff2+zrqy60GP124N/o03Nt5+WePPmzdi3bx8AILptOKLbhtuUUatVoF619YPku3VYHp7cF0K9evVyXsiIwWCQFGqLYRhsjnXdEt2zZ0+X93WVwYMHY/ly+S8jTde1iAjpyU3uvvtum3ULFizAZ5995tRqaa8NtZ1sSIlYn0vrhxup6Zvt4Si1vFwaNWqEAwcO4MCBA4rvSyKA3cPk/sACWOGsMEVRrZxsV4MLtd7cuMomdQpN0wYAJi/2HhRFPSdSTy9e29bSNC125zRd1SMBzBKpozkAU/7XIzRNux5qwIvU5PA1JcJw1c8uP6MMh9dfRUWJxbeSqQELCMMySMy2zPbKLL6JnZf+EJQ5eO0v2fWq/VSIbBYqagFmWAaHEzfg+I3NqNCUoPsQx+HOft3yARCiwaFU59mCVqxYgdWrV+Po0aOwl8nyaNI/2H5xCY5e/8e8buQj3UC92h9jnuhh7ks+QSKh0eQw4f/6ubU/H/7kLBNVWlnzUF1CjkUuNjbWaflWXRrj0XcG494ZfUS3m8a/lFTIYjz//PM4d+4cFixYgEWLFjks+/7771uOaxWyyh6szCdUax/aX391IXNGLWGK0vPMM884KWnh+++/x48//iipbPPmzZ2WcfcaW1exFsDWLhKOLMBS3iaFN3VPQFvTuHFjREREKKIvO3a0H1KSuEC4CEVRTQGY3vEcMqYNdsa7FEXdA+AvAMcA3AAXXSECwFBwYc9M8TIuAphnp57vwbledASwyChW14CL6Xs3gB/BhWUrAGAv8vlKAP9nPN5siqIaAlgEzuViCIAfADQx1vmmhO9WK0h9gtPrDFCrVVD7ufc85c7T7N/fcn6lpQU8o34NCOC4W7aW3XKNW3M1OYxN54ugrOJkFFZmo1vzQeZ1OoMW0W3DMWxiZ8QduIXYfalgWOFFuaCwAGWNryAnLwvO4IdFO3/+gmiZpBzOYycx+yzGdONeZPgH+KFZO4t1y7ovXfWVM4kkfqY0b5BWkODV+gF5Avivv/5CamoqfvvtN4e/w6g24dBUiYfbK2l0CY1L+8EVC/CBAwfQuDE3UW7ECOe+548++ii++YYLecYwjKTfspywZwsXLMLgoYPM1vuw4Ehz+5SAs+9rEip333035s2bJ7lOMSswn99++w0bN27EBx98YLNNbNwo2WJYW1gLYOtrlSMfYCm/aW9ZQmurL/nfeenSpXaTdhALsOs8CcD0aCPnfVMvcKHNDgG4DaAYnP/weljE70EA42iarhTZHzRNl4Fzk0gB94DwpfFzFjgh3AxAHgCKpmnRfKBGS/JEAHHGVTPBTY7LAUAD6AKgAsB/aJoWVxlKQML41WsNWPbBYaz7+qT328OjKLsC2xZeQHaqUGzm37aEyvG0+2x2SSr2XlmJsmqL6/jF20c8exAr+CKBjv8Nx65vwu1Cy0ShqLYN0XVwcxw+dhA5BZzATcq2dSk3JZ+Qg5xZ+Wo/x2ULCmQFOjFzNGlTjfgyXri1z+06TKlg7SH3hnDy5EncunXLaTmTi0RwQ6E16O+t3AREuafv7bffli0u+SJCr9dLcoEYPMW51dJE/5gBter36IjGjRtj8eLFDsuYJsC1bdtWkCHNOguZGI78fYcPH44ff/zRZlIcwRapPsCmcn379gXAnWN71PQkOCXA/86OrhMqe68QFYRSW2h6T1QG4B9HBXksAfAhgC0AEsH58uqNdVwDZ5W9H8BYmqazHVVE03QSgDvAWXjjjHVUAEgAMBdAb5qmTzipIxectfcNAKfAWX+rwVmmfwXQl6Zpz86QqAXyM8th0DMoybd2p5ZHQVYZEi4mSr6gbP3tAtKvFeLfn84KLmzVFZaJbHKFk8mP1RqNvgrl1cXYEvcrkvMvClwavPWMa2q52HcoqbJMYCoPu4kjRw/j/fffx5x5rwGAQKCb2Llzp+w25Bfko00PaZEg+AK4uLgYa9euFWxPS0uTfXwAyC5NQbmG+z5BDRyLqqKKHGyNXyQ79FtC5imX2sbn3LlzaN++vc36s2fP2haWwYwZM5yWCQz2x7Nzx+CpT21DP1Vpy5BfLjVuJ8dTT1milDAMg5s3bzr9XfLFvcFgkGSdeuvdmdIbpVBr0ptvvon9+/dj0KBBottnz56N6OhoQYa2zp07mz+bgvw7wlVLt/UDl9S+rKuEh4tf360FcFhYGABg+fLlOHnypEO/7do6l7XZl23btgVgSeVuD+s3kUpEkS4QNE33c2GfBHAC1VNtKAPwlfHP1Tq0AH42/vkckixWHrDOlRVWY8NczoWh07ftJcX24/v6GkQyuHFNk9c2ftgpPiuOfyxY5gvQar3YiwT3zwnLskhJEff84ft07t+/X3AR3Bq/CC0i27l9fAB466238Pp/PkP6VYv1dvdl8RcyJsFTWlqKMWPGeOT4Jh54kctaFnNPe5yib6DLgOa4ft72GXb3leUoqcpHZvEN/He07UQ3MViWxdHrGyW3ZcWKFSgsLMRbb70lWO/v7y863gICAuDv7w+9Xo8hQ4bgxAmHz802FBUVoayszHxTtkdQiPilfM1peZcv69+8TqdDXl4eWrduLTnmplQfYF9m8+bNOH36NCZPniw4Z//973+xePFic7rhRx991CZF8oABA3D27Fmo1WpJ19jnn38eSUlJeOCBByS1bfLkyUhNTbVJuuBKX9YFvvnmG6xbtw7vvstNu2ndujVu375tFnLWAtgU2cTPz8/tCXCAd1wBarMvQ0JCcOTIEbNbzxNPPIG//rKd5+ILD1qKFMAEZSD3d8sPoSWHvHT3Mm3pNOJPmlJdIFiWRerlfBTninrF2FCpLQPLMg5f8egZHfzVrk9QOHRtHRY/bCc6Hk9npaenY+XKleblzOIbCGvmmZ/1pUuXsGzDL2iOPogOb4v7n++LxU9dES2r9lOhoKDArj+YO4Q2CkReXh5ulcVj/H+Hok3XKFEBXFol383C2QSxIUOGCOIWh4aG2mSGO3jwIFeXlQA2uUTs2bMHGRkZOHHihGwBDAAZGRno3r07AM4qVVlZiVdeeUVQ5urVq0hIsH3+N1inI3SCJ/wKAwMDJblAyEFpBuD27duLWvxffPFFPPzwww4npT377LNo1KgRhg8fjrlz54qWmTlzpvlzeHi400mIfD755BPJZesD48aNw7hx48zLCxcuxMqVKzF9+nQAtgLYnqVYDF8Qed6Af45MDxK2KD8Mn1JdIAgKQPZNR+J4t7bYVlda3Bby0susizvFrgCWaAG+lVCAXb/Ho6pMK/mY5Zpih9v/PP6JbPHBJ1HEj9eC4++VmGgbC9ZVTsYeNIeqatPD/qvY2PjzXhG/AOdTOm3aNMz5dA7ofevtWupdiXaw9Mh7Drf369dPsBwSEmJj3TT5dFqPt9GjRwPgXmH36dPHZV9mU2i6wsJCzJ8/H0uXLrVJqfvEE0/YBPx3BXesVTNnzsTEiRMxYMCAGpigozBFbESlUjmNyBAYGIipU6eibdu2NtFSAM73W4rrC8E12rRpg1mzZqF169YAbMe8nLcX9TnWsgl7kwR94dwQAUywj8yb4V//O4mM647jqR7flIgl7xxAUbYlxe3hdZZEeLuWyo8IZ98FQtr+WcnFso+pE0lly0fP6ER9cT1BTV9WTMKSHyPYmldff9lrx9fr9cjJ4TKnHTkiPunQWRQH/wDXXslb3wxDQkIEFiO+Zc76gm/9+lRKqCoxbt7kfJr5Ewk///xzl6zJzuBndJPLjBkz8Nlnn0GlUjkcK66gNAuwp3jqqacwe/Zs/O9//wMATJo0ySOv3QmuI0cAS3nQ84VoCO4wYcIEDBkyBG+88YZgvavhF2sSIoAJkigvrkbWzWKb9fx7fkluJehfHQe1uHg4HWCBc7tFs0xDV+2C47yd35nUJ1BTwgo5FJQ7DymmUqkcJlgQm3Sn1VdLaHfNX1geejkGOp14prwKjXsuLM5ITEx0WuZa9hmH21MLxV03nCGWFpV/g2zXzuJvbZ2m1Tr1rfVsfqm+e3PmzAFgG5/UGwL4vfeEFnFXkyeUlcl/k+OYuikiAgIC8Oijj2L8+PE4duyYua+9AUmEIQ05Ari2xK2S+jIwMBCLFy+2iXFNLMCEOsOqOcew+edzKMm38pNVwBi396SZfq0QB9cmQFvtWWsUABy4tha3Cq46LKNWqXEocb3d7Y+8xaW5LanMQ6W2FGtPf43lx2fjSNLfDuutjetK625N7Fr1EjI9L8T48GfQJycn4/XXX0dembzIBpfSjrt0bP7NcPLkyQgNDRVYgPk3oHHjxglSA1sLYH9/f7zwwgt2tzvil19+gVYrdNFZvXo1li4VzbQumzZt2mDXrl021kdXkyfUdauXN2jYsKFXzxtJhCENOaJSSn95Q6T6Ql/KTXRTGxABTBCFMTCCmLomCo1hzw6tu4rkeOepde3h6MKRejkPlTL8ce1NdstIKsS105k4t0vc2mxNbuktLD78Dg4nbpBUfuflP5yUUDm1jqYVJGDd2W+w6uTnZmuxM2smWwvhZVatWmU3lFq1vkJ0vTdgGAZHjhzBpgvzhBscPBTICcdjPaGDn27XNLmIL4r5n1UqlWCyjdirbP7NMDQ0VHK7/vjjD1RW2k7SXLBgAZ5//nnJ9dhj69atdl00XLmBy3WB4Kda7tdGJPmD8XJxRx8ussEjjzwiu00EkgjD0zRsKEzx3rIll5Wza9eu5nWPP/44WrRoIXg49gRK70tiASb4LBnX7fivqoArx27j6skM7F52UdT6yjDuDfydS+Ox5vPjKMwux/ndydBpnNxMnfzQrhyTZi38N5aLVudMgMqBHzKNT4e+XAD8TH287Dr1bkyuc5UffvgB3377rc36W4XXkJDpXhKUrl27gqIot+pwpIAHP+g81qqJqVOnCpYHDhyI7777Dn//bbHK27MAWy+LCWD+vnIswADw2muvia4/d87RhMnagS+AJ0yY4LBsly5dBDfLxqG2Qtz0uLxoyW9Yvnw5XnvrRY+0k0Bwh7lz56J9+/bma+PSpUvx1FNP4eefLZFPw8PDsWPHDpvQiXUdIoAJPk1ZdSFKqvJt1peXOJ4AtuyDQ0hLyLdxPeD/IDKuF4JlWOxfLe6bqdcasP5/p3BmRzLObOcmAaUl5GPrggsoKxQm3UgSCYklqEsn/1WMqa3u/YjF9713Rh8MmdQeDMPg4rXzsmsNbKCcn+3OS7+7XceGDRvw+eefe6A1FvgZ9FRq6X1oLYDVajXuvfdedOnSxbyOL2Kt/QX5bzbEfHz5AtmV7Hye4u2335ZUztWA+3x/cbVajW+++QYtWrQwr+Nbm4ODgwW/s8mPUXjzzTcR05cXIcF4WkNCQhATE1Pn4wx7g/qeCMMbdO3aFZs3b8Z9990HAGjVqhXefvttm7cpnnZt8YW+JJPgCD6L2p/F2tNfY92ZucKIByyEFleRMa7TGLBjcRz+eP+Q4MZ26Yglc3RlqRYpl/KQdNb5ZLLcW5wbwY7FcbidVGgjmuP2u5ZlzBEm/yV3fsT2xHNYS+CusaPRv39/l+rN10lz6ZDKP/9ITbaoLFieyLU+0xqdxV1Azk3C2qIrduPih/1xZAEWCw/EF255ecK3A++//77kdrqL1BuyKeC+vQmQ9uBbgFmWxbhx47Bz5048/fTTeOKJJzBkyBDzdmsBPHJyd0yfPh3dOvcEwXO42pcE5UH60jMQAUwQhT/hplpn5eMpQxOyDAvGwCDpXBaOb0oSbDu2yfnsfoBzqWB5bhX8EGpSuZ1UiLgDaZItupdvH0NOqfTyYtgTzzt27HC5ToCbCOZJpKRj9RbuWEZWn/qStyQ81+lFlrGlN3jWZYQvbB2ND2cCGLCkOl66dClGjRrlmQZKwNv+g3wB3KdPH/Pnt956C++//z62bNliXhcSEiIr1TKBQFA+vvCLJQKYIApj78auEt70nfn7sgASTmRg/ypbV4eKYseuFCZy00qx8XtLNi5XROnWBRdwcst13EoQZguzV9fJ5K3YHPuLWzNZWTuz8+T6frqLdfgtJcEXNo899hiaNGkied9Krf0Jhgevcak5S6sK8PKHT7rUNnttadq0Ke68806MGDHCJkUx/8FRzAfYWgDPnDkTcXFxGDRokM2EGk8zfPhwAJwg5QvgH3/80ePH4lumnE1YsxdIn0AgELwJEcAEUfgWVxV/mLBCW1vs3lQnFQHpiY6TY7Asi6ziZFRpy+2Wyc+wbHPHGlRawL0aZxkWu36Px8kt1x2Wr9CUuHwsrb5adH1VVZXoem8RFRUlWJ4/f77dsiqVyibLmLu8+OKLGD58OA4cOIBVq1Zh5cqV5hnRfF/Ujz76CHv27JFVd7ueTREcGmD3QebCrf0ut9telAaVSoVffvkFCxYssBmLfOEn5gPsyHc1IiIC33zzjXnZlGHOU3z66aeYPXu2Tf/ffbdI1AU34VuAnaVFlmIB9glzEoFA4KH8H61nE7YT6gzHTx21LFiPY57WuJ3kRNwyrFOLbVpBAnZfWY4AvyA8O/Irp21zJ8rEme030WdUW2SnliDlkniEBj7Xsk47LWOP82l7RddfuiQ/2507BAYGCpZHjBhht6yfnx86duzosWO/9957+M9//mNebtyYS6fcp08fPP7442jVqpXN8eXwwH/7QafV49zMv3FLJByxmBW+f//+uHDBfsKWV155BQsWLMCsWbNktQUANBrLWw0xNwP+93v22Wdtto8bNw56vR5JSUl45ZVX8MgjjyA9Pd2mnCuEhYXh0Ucftds2MVwNuC8nDJq1D7AYyr+VKh8lJU8guIcv9KUveC0p9+wRapWfFlgsUSre7SfzRpEsFwSWhVOf4VuFXEIJZ+mFTWirXPfp1BozzbESRXSl1vWMVqbvZc3+/a5bJV2Bb4F77LHHHFrknFnr5GLPiqlSqWzEryssX74cgwYPxPETx0S3l1YV2KyzJ7I3btwIAHjhhRdw6tQpwUQtqXTr1s3hMfjrrd0nTEyYMAFvvvkmAgMDBfFx3cU6ZrEUXA2470wA8yf8+fv7i15TfOD+6VP4QvKE2sLVCcm1hW/0pfJ/wUQAEyRgGcgXD6eDMUgXwPEHnU8kq41wKWo/aT9Of7WSLzCOefTRR/Hiiy8KUujee++9AICff/4Zfn5+5ixrJkEyd+5cAJ4Twt62UDhy5wCA7NIUm3X2QoB17tzZ/NlVv9TIyEjs27cPR44cEd3OPx9SzrEnJ3/xjy2nXm8kwpgyZYpg2ToBCXdgXht9wZzkAyjZYkiQB+lL9yFnkOAU63tPwokMyfue3ZmM6grlhWpRq6XdUIMDpGfrUhqzZ8/Giy++iJycHJtto0aNwqlTpzBp0iQAwBNPPIHTp09jzJgxALg0uyax7A6uXKSXLFmC9u3bu20hLii3DbH30ksvoXv37m7V64ymTZva9R/mi165Arhv375Qq9X46ivnbkJi8C3A3r55mhIDfPTRR6Lb/f39MXfuXAwZMgQzZszA7Nmz8eCDD+LPP/+0FOI9FxP5SyD4Fiof+NUSAUxwirsJXXLTHKcDrmkqSzVQWVmA7U+i2lcTTfIq9l7HW78+40/a6t69O7777juXjse35rkitAYPHozNmze7PTlr4/kfbNZ5Im2wOziLE2zNXXfdZf785Zdf4vTp05gwYQKOHz8u+9h8MT1s2DAAthMkrXE14P6oUaNw5swZPPbYY3bL3H///Vi8eDGioqLQtGlTfPnll7jjjjt47eU3XtbhCSL4QvKE2sLXwuz5RF/6wCklApggAeVndJHDnx8ftUmP7AtZa1yFL7pq4oLJdzHguxXIhZ85zFOIPQxMmjQJK1as8PixnB1fLEyaNffccw/mzZuH1atXo23btuaHFmsLc/fu3dGzpzBxxDvvvGO33hYtWmD//v3Ytm2bw+O7E3DfevKlXBpFNDJ/9jWBokRI8oS6A+lLz0CiQBDqJVdPZgqW7cXslcoHH3xg9p+tDR5//HGsX79edBtfAMuNoTx8+HCcOCESXsEOv//+O/r06YNPP/0UzZs3R7t27WQdj8/EiROxf/9+jBkzBrdu3cLff//tcl2OMPlB1wR8ASzFAqxSqcxuKY5YunQpwsLCkJ2djUWLFmHUqFG4++678f3333PHEnHlkRNzuTa4b+wD2LftONo07lbbTSEQCHUQYgEmOKUmraOFFVlYd+YbXM+xH6bK0+SW3sKRpI1u1VHTyS2s+eCDD3DsmHgkBD5yBXCbNm0kl50yZQoGDBgAAGjevDliYmJkHcua0NBQ/PHHH3jqqadcCkmmREpKLHGlmzZt6lZd/DBqpogSzZs3x6effmrjPqJW+d6lPjAwEHd1n4rO0e6NIwLBGZ6OflNfMblWAcQHmFBX8Lb+5dV/OPFvlFTl4cC1tV4+qIV/Y39GUs45yeX5cW1N8K1p//d//yfYZkr64E1UKpXdTGJ8twe5Aljqq+dXX30Vs2bNIq+qncCPyOFuiDO5MZN9DjKUCDXEhx9+iOjoaHzwwQe13RSf5tdff63tJsiCCGCCU2rSApxbdqvGjuUqYr6pw4YNwyeffIL58+fbJJpw1bqwePFiLF++XNY+y5YtQ9euXe3uJ1cAP/XUUzbr7rjjDpsIEePHjzd/9naQdl+21hgMBvNndx8WasKfuzYD7pOHKc/iC8kTaov27dtj9+7dmDp1am03RRJK7UvBQ7kP/HyVdfYICsWzAlijq5RUTquvxrnUPSiqsA3jZc21rNM4fmOLbIHnCikptrFl1Wo1Jk+ejNGjR9tclKQItoULF9qsGzJkiEM3grVrOSt5nz59zOv69++PDRs2CPZ78sknzZ8HDx7stC18WrVqhdOnT6N169bmdc2bN7fxH+Vf+LwVpL1v374AAIqiPFpvTSInQ5oz5I111+5GtRlwn+hfz+IbyRNqD1964PKFviQuEASCFedSd2PFiU9wIzcWOoMGCZknkFpwWbTsyeStOJ+2BxvOOQ/HdTjpb1zOOGo3+5o9XBHM165dc7jdFQHsSjt69uyJPXv2YNmyZQ7Lde7cGbGxsYiNjXXpghkUFCSIPfvuu+/i5s2bgjLW39kblolff/0Vv/zyC1588UW7ZV5//XWPH9eTePImW1MhkGrLyuRLgsRXUJrFkOA6yu9L5f9+lX4GCQrAk1bV82l7AQBHk/7BiZs0jl7fhGpdhWjZ7BJbSyuf0Iggm3W7Li9DWXUh9iWsRl5ZutP2MC5Ef+BbOwMDA/HGG2/Y3W5afuedd/DMM8/YrdPaovr1119Lakt0dLQkUatSqdwSFHfccQfOnTuHuLg4NG3aFGfPnhVsrwm3hPDwcNx5552Ijo62W2bcuHFeb4c7TJ48GW3btsWMGTPcrkuOAPYFa4w1DSNdy8ZHIBCUgPJDixIBTHAZjb4KR6//g+M3Nkt2azChUqmRln/FYZniyly7267lnMKP9Gu4kRtrs21fwirczIvDpguO0+QCAMManJaxhv/kPW/ePBtha/1k7ufnh2nTptkIZRP33XcfunUThnpyJih79Oghp8kegd8mfgQCwDbWcG0EaX/ttdfsTgy79957sXPnTvPyokWL0KZNG/z+++811TwAnIinaRozZ850u66aOL+1GXA/NCII1Kv98eg78tx2COL4RPIEgiR8oy+V/9Dtu7NJCF4jOztbsGxvEtzp5O24mnUKAFBcmYcJfV+QfAyVSiV7cl1pVQFSC66gR4shOHyNC1u2/+oadIq6Q1AuV4Llt0JTiqScc+gY1ddp2eioaOTmWcQ4XwiKBfsXE8Bi0DSNa9euiaYc5mdTCwkJQVVVFQBg9+7dOHz4cK1bOk3+uCb439EUpL1169aC7HLepmPHjg4FMH/y4tChQ7F169aaappXGDduHFavXi0t1rKL96La6ksTrbo0rvFj1lVquy8JnoP0pWcgAphgQ3x8vHCFHReI/PIM8+fbRYm4mRePNpHdEOjv/NWlWqWW7X6w8fyP0Bk0KKsuFKyXW49GV4ldl/9AfnkGbuQ6jzfcrl17swDu1asXBgwYgPPnzwMQF7fW6/iCed68eZg9ezY+//xztG3bViB0165diyVLluDuu+9G9+7dRetr1qyZw/SyNYV1EgclhORq0qSJ3XZUVsp7Q+EL9OnTB9u2bXM7njCBQCDUR4gLBMEGa1/RJDsi0Tq4/r6EVQ7j9xaUZ5k/V2rL7Pr+2kNn0AAAMotvCNYbGOcz61mWRbWuAnG3DmLFiU/M4r2wItvJnpYkA6Z6pk+fbl4Wc1VwJA7HjBmDI0eO2CQqALhJbfPmzbOJcvDJJ58AAF566SWnba0prL93bQvgd955B3379rXbDndSMiuZ1q1bS8so5wOvIwkEAqEmIRZggg3WAvhGzgUMam/7yl1MeKYVJAAA2vZogltXCwTbdl9xHK1AKtai1cA4z4d+4NpaUX9hKfDdHLRaLUJDQ/HSSy/h+vXr6Nmzp0156wlt1udT7uzd++67D0OHDkV4eLis/bxJTUR9kMO0adMA2J+w2bt375psDoFAINRrAoKULy+V30JCjaPXCl0KGJaBntEhpyQNzSPaw0/NDZuC8ky7dURENQCsBHBZdZHnGwtAL0EAuyp+AaCsrNT8WaPhrND//e9/7Za39gv2xEQFJYlfwFbU8y2vtRmkPTQ01Gbd04/a76v6g2sWYKUG3CfIh/Rl3cEX+jIoRPnyUrlnj1BrpMTnCZYZ1oDDiRuw7eIi7L+6BizL4nZhksNJbJ4O4ekoFFtC5km72w5cdT+l8vETx82fO3XqJHv/mkjOUdM4sgDXZpD2gIAA7NixA9u3bzevI+FkXccXAu4TpEH6su7gC33pC3G8iQAm2GCt1/QGrdmCmpJ/CYk5Z7H90hIH+7OorK5Aav4Vs9+uu+y+Yj8lcFz6QbvbrkuY5CaFdevWYcqUKfj44489Up+v48zyUJuWiZYtW6JVq1a1dnwl4h/oen8o2cpEkAfpy7oD6Uv3IWeQYINfgHBYaA3VguX4W/YFJ8CJzne/fRa7ryzHvoRVAKRNVHOEybfYFbJLUt06NgB0794ds2bNsvHvtcfIkSPNn5Udq9E1avvp/tdff5VcNqqNstxHaoOQhiRUEoFAqDlq+x4hBSKACTao/RwPC4OT5BEHr/1l/nyrkEsbvOGs83TG3mJLnHSxJMZ7734gex++H3B9cIHgUxNB2vkPGGITEfn4B9Z+iLbaxtV7kW8E3CdIgfRl3cEX+pIIYIJPonYycOVac1mWRWl1gfOCCqUHLyavK9Q3AWwK0q7TOZ+c6A4REREAnFuDfeFC7G1cPQc11ZcE70P6su7gC33pC9ddIoAJNjgbuJXaUofbranWlbvTnBpn6tSpgmU/J2mJxeBn56mLApg/Ru6///5aacOuXbtw4MABNG5MsoU5wxduRgQCgVCTEAFMsMHzzvW+c/Nt0aIFPvjgAzQObW5e5+fEJUQM6+QZdQ3+GOF/15okJCSEiF+JEAFMIBAIQogAJtigUnv2ZslCuX5K1qxZswYAoOJluRPL9uaM//u//zN/rosCmC+oiLgiEAgEAh9fuC8QAUzwOr4kAE2uCxFNLAkVXLEAN23a1GNtUiJ8C7BYTGAlBWn3hQuxUlFaXxJch/Rl3YH0pWcgZ49gi4cFK+MkaoSSMGU0q6gqM6+zzuwmlccffxzR0dF4+OGHPdI2JeFIACstSDsRwK6jtL4kuA7py7qDL/SlL1x3iQAmeB2G9R0XCJMANhgsor11mzYu1fXhhx9i9+7diktj7An4FzcxKwSxTCgLd25GpC/rDqQv6w6kL92HnEGCDYGBng2a724SjJrEJIDzCyzpoN15kPWFp2BX4F98XbWQEwgEAqFu4gv3PiKACTZ4euBmlSR7tD4+7du392h9Yk/VvvBDrmn45ykkJESwTWlB2vv27VvbTag13nzzTQDAJ5984tL+SutLguuQvqw7kL70DEQAE2xQezgKxLHrmySVi4qKkl23KxEaCO7Dfyho0KCBYJtSgrTv3r0bf/75J7p161ar7ahNpk+fjrNnz2LgwIEu7a+UviS4D+nLuoMv9KUvGI6IeiDYwPqQz64nBXCjRo08Vlddh+/2oNQLXbNmzdCsWbPabkato+SJMgQCoW6i1PsCH2IBJtjAMLUTtuzee++VvY+nJpgdO3YMe/bs8Uhd9YEmTZqYP5eVlTkoSSAQCASC8iACmGBDoxahzgt5gejoaNn7dO/e3SPHbtiwIZnMJQP+071e7zuTHAkEAoFAABTkAkFRVHsAKRKLT6FpeqODuvoBeB3AXQBaACgFcAnAnwBW0TTt1MRJUVRHADMBjAfQCkAVgEQAfwFYRNO0U+cbiqKiAbwJgALQDoABwE0A/wCYT9N0ubM6aoPI6AbOC3kYV0K6PPnkk8RtoRYJCQlBVVUVhg0bJlhPgrTXHUhf1h1IX9YdSF96hjp39iiKehnAGQDPAGgPIAhAFIC7wQngPRRFOVR4FEU9DOAigNcAdAYQAqAxgGEAfgZwxihuHdUxHMBlAB8A6AkgFEA4gBgAXwK4SFFUV5e+pJepjcxtY8aMQZcuXWTvV1FRYf7coUMHhIaG4rfffnO7Pa+99prbddR1tm/fjhUrVqB///6C9b4QpJ0gDdKXdQfSl3UHX+hLX4hQoVQB/CKAMAd//4rtRFHUBAC/AggAcAPARADNAPQAJ1wB4B4Ay+0dmKKo/gDWghOsuQCmAWgJoBOATwDoAfQDsIWiKNHzR1FUGwA0OOFdAeBVAG2Mf68a13UAsIOiqIaOT0XdYu3ataLrXfmxtG3bVrD82muv4fDhw+jVq5dLbeNjHdqLYEvjxo3Rr18/0W3EMlF3IH1ZdyB9WXdQel/yk0kpFcW4QFihkeseQFGUP4B5AFQACgCMomk6y7g5F8AbFEVVAPgQwGMURf1G0/Rhkap+BBCM/2fvrMPcqLo4/E5ks1l3r7tRF0oLpbgNpYUixd0p7lDc9cO1xV0GCsUKhSJ1d9m222677hKb+f6Y6CZZqbDCfZ9nn83M3Lm5yUkyvzn33HPADhypKMoqv2MPyLJcALwKjAHOBWaG6OMBwLNKaLKiKP6rq16UZXkzMAddVN8EzGjJaz3QHCgP8L333kv//v3DPqd/Oq3zzz8fVVV55513wvY3ZcoU3nzzzYB9JpPJW8xiXzjllFP44YcfGD9+/D73JRAIBALBfwnhAf53OR49XAHgST/x688DQLn78bUND8qyfBBwmHvz7QbiFwBFUV5DjwUGPUSiYR9JwDT35g8NxK+njx8Az/4rwnmSW4sDJYAPO+ywsMe6d+9ObGwskyZN4vrrr2f69OmcddZZjfZnMpk48cQTg/ZbLPteyc5qtTJr1iwuvvjife7rv4ZI0t5xELbsOAhbdhzagy3b8tg8tCnhtY+c7Pf4o1ANFEWpQw9NADhWluWGSqnJPtx87P4/zB3u4M8J+DzrjfXhOZYGHNJIu3+d5n5wJ02axNSpU5vdb7h4pQsuuIDzzjuP4uJibr/9ds477zwAMjIyuPLKKxvtMyUlpdnP05D9XUVOoNMekrQLmoewZcdB2LLj0B5s2R5CINq0AJZluSV5qTyljnYrirKtkXZ/uf9HoccGh+pDBRY0ow+A4WH6aNiuJX20CcKFKwAMHTqUGTNmcMcddxAfH9+s/sKlGbvuuuvCxtwOHTq00T7DxUGNHTu2yfFcc801HH300Tz00ENNthUIBAKBQNA82oMHuK3GAN8uy/LTQKIsy05gO/Ab8IKiKMsbNpZlWQI8GRW2NNH3Vr/H/QD//jxJZfPd3uLm9vFViD5UGk/rlgto6DHLDYV4q+IJgWhuJZePP/6YY489tsl2e7NitaHATUxMpKyszLs/nAD2jwPu3bs3WVlZ/PbbbwFtkpKSePzxx1s8JoFAIBAIBOFpDx7gtiqA/dODmdAXi/UALpRl+THgjga5fGPRF64BFDTRt//xhvPnqfuxj7LGcgUrimKXZbkcSAzRR6NMnz49QPh5hOqLL74I6NMjDe++zGZzwDmNtWlJDLDD4SAxMZGff/4Zs9nsjfMdOnQoy5YtC2obDqfTiaqq2Gy2gPE0TI32/PPP8/zzz3PFFVdgs9mCSiGHel0fffQRxcXFQQLY//la8v6INs1rE6pARlsfs2gT2KbhdmuPR7TZ+zY2mw1VVYVNO0Abjy3b4vWrS5cubN++nQkTJvwr49mXNT9tSQCrwM/o8bWLgJ1ANXrqsBOAO9DjZW9Dz9Bwr9+5/qnE6pt4Hn/PbsMUZJ7tf6MPTz+JIfpoFJvNFuCdNRqN3vACVVVZtmxZ0IckNTWVHj16NKuNRwDX1tYGHG8oasP1A7p3tSENBbF/P6tXr6ayspI1a9Z4X5v/mD3U1NRw0UUXYbfbWbZsGampqQH9eMZTWVnp3Z+bmxuyYMamTZu8orwl749o03gbg8GAJEmsXr066GaqrY5ZtAndJjk52Ztwvy2MR7TZ+zaaplFZWcnOnTu9joW2PmbRJnQbl8sVcL1s7fH4t7nqqqvIzc3l3HPP/VfGM2bMGPYWqTWKHuwNsixnAn+i5891AH0VRdnqPpYF7HI3fU9RlHMa6acnsMm9eYeiKI/4HbOj5xCeryhK2PxX7pRrHnfma4qiXOZ3bCPQC9ipKErDBXIN+9mJXmXuR0VRjmmibTT6DQHvvvsukZGR3mP7+85u7ty53HDDDQwaNIhVq/REGF27duXjjz9m9OjRAJx22mnceeedQf14jp9wwgnMnj07oP8FCxYEtAF9EdvPP/+Mw+HA6XQGjNEznksuuYRFixYxbNgwXn755aAxewoxPP3004wfPx5VVbn11lu9Ht+lS5dSWVkZcEcKMGvWLG8p5bZ0B90R2qiqisvlajPjEW32vg34Qo3awnhEm71vo6oqFoulzYxHtNn7Nqqqeve3hfG0VhuLxdK8WM0QtCUPcKMoirJbluVrgW/QRepU4FH3Yf+cwU1VMPA/3jDXcDW6R3Zf+2jOOPzbtCjnscViadTt35xY28ba2O12IHDRWteuXbFYLLz33nvMmTOHyy67rNF+Qo3Ps89TQhfghRde8PYTrq/HH3+c7777juOPP77J6Q5PH/6hER4PVqjxhOtvX9/D/3qbcO95a41HtBFtRBvRRrTp+G1aQrsRwG7moIcWRALD/PZXAzb0sseNlihGrwznoaTBsWJ0AbyvfYC+gM8cLg7YneEiMUwfrUpVVRUAcXFx3HbbbbzzzjvceOONAAwcOJCBAwc22UdOTk7A9uWXX+59/PXXX7N27VoOPfTQZomkxMREpk2b1mQ7fxou4AtVHGN/FMwQCAQCgUDQ/mjTadAaoiiKEyh1byb47VeBje7NHjROd7/H6xocW+/+nyXLciThaU4fBqBrI310Rc8AEaqPVsVTka1z586cccYZfPfdd3Tq1Gg0h5dnnnmGSZMmBQlWfwGclpbGhAkTAsSvqu7fxN7NEcDNEd+ClrO/bSloPYQtOw7Clh0HYcv9Q7tSAG6vqafEcFmDw4vd/7NkWe7cSDeeBLG1BAtPTx9GYFQz+gBYEqYPgIOb2cfisK1agWOPPZbXXnvNG+bQEg4//HBmzJiBxWJhQFbz63vs78TeDcWtEMD/Hu0hSbugeQhbdhyELTsOwpb7h/amAI5HD3MAWNrg2Fd+j88MdbIsy1ZAdm/OURSlYaaGJvtw4yl/tlRRlB0Njn0LePI/NdbH6e7/RTReMONfx2g0MmrUKK8nuD3SMHuEEMACgUAgEAg8tBkFEKKkcMPjnYHn3Jt2fOWIPXyPrwjGTbIspxPMnfjibl9oeFBRlJXA7+7NC2RZHhBiHBfjK1wRqo9S4AP35jGyLB8Zoo+jAE/liJcVRWn7GaPbGeeddx6XXHIJ77zzDiDErkAgEAgEAh9taRHcMlmW5wNfo4cV7Eb3pHZC9/zeDHiSy97fsNyxoigOWZanAwp6YYk/ZFm+Eb2kcSJwOTDd3fwTRVF+DTOO69HTrUUCv8iyfAMwFz1jw1nADHe7f4BZYfq4Cz13cTLwpSzLt6BnrwDdA/2Y+/EW4MkwfQiayfHHH8+aNWs45BBfyEVERARXXXVVo+e1lxSAAoFAIBAI9i9tyS1mAk4G3gJWAIXoC95WAI+gi18HcJeiKA+F6kBRlG+Bq93teqGL4QL0hWnT3c1+Bi4INwhFUZaiC90a9GwP76OL8a3Ag+5xLgdOdi++C9VHHrrQLUYvcvESkOf+e9G9Lxc4XlGUqkbek3ZNXHJzMsHpeNJm7Y2n9uGHH+arr75qcUUYIYAPDPtiS0HbQtiy4yBs2XEQttw/tKV37wLgaWA+sA2oQheyxegxsg8DfcKJXw+KoryEvoBtJrAdPT1aMfArcD5wtKIoteHOd/fxJXAQeojDZvTUa2XoXt/rgFGKohQ20cdfwED0XMVr0QV1Fbp4vgsYrCjKxrAddAC6DGh+hWez2cyIESP2Os9fw6wPzUEI4APDvtpS0HYQtuw4CFt2HIQt9w9tJgTCLTq/3E99LacRL28z+9gKXLOPfRQAt7v//nO0VJT+23ezQgAfOIRnouMgbNlxELbsOAhb7jviHRT8Z4mJiWntIQgEAoFAIGgFhAAWtAn+zcTe8fHx3HXXXaSnh0oUIthXRJL2joOwZcdB2LLjIGy5fxACWNAm+DcTe1966aWceuqpB/x5/quIJO0dB2HLjoOwZcdB2HL/IASwQCAQCAQCgeA/hRDAgv8ce5MxQiAQCAQCQcdBCGDBf4YpU6aQnp7OSSed1NpDEQgEAoFA0Iq0mTRogo5HXFxcs9v+G4m97777blRVFeljDjAiSXvHQdiy4yBs2XEQttw/iHdPcMA44ogjMBqNyLLcZNt/K7G3+ME48Igk7R0HYcuOg7Blx0HYcv8gPMCCA0bv3r2ZN28e0dHRzWovxGnHQdiy4yBs2XEQtuw4CFvuO0IACw4ootiEQCAQCASCtoa4hRC0CURi746DsGXHQdiy4yBs2XEQttw/CAEsaBOIxN4dB2HLjoOwZcdB2LLjIGy5fxACWCAQCAQCgUDwn0IIYIFAIBAIBALBfwohgAUCgUAgEAgE/ymEABa0CURi746DsGXHQdiy4yBs2XEQttw/SJqmtfYYBM1AluVooBrgk08+ITIyspVHtP8RVdo6DsKWHQdhy46DsGXHQdjSi7S3J4p3T9BmEF/mjoOwZcdB2LLjIGzZcRC23HfEOygQCAQCgUAg+E8hBLCgTSASe3cchC07DsKWHQdhy46DsOX+QQhgQZtAJPbuOAhbdhyELTsOwpYdB2HL/YMQwAKBQCAQCASC/xRCAAsEAoFAIBAI/lMIASwQCAQCgUAg+E8hBLCgTSASe3cchC07DsKWHQdhy46DsOX+QRTCaCeIQhiC9oSwZcdB2LLjIGzZcRC29CIKYQjaP+LL3HEQtuw4CFt2HIQtOw7ClvuOeAcFAoFAIBAIBP8phAAWtAlEYu+Og7Blx0HYsuMgbNlxELbcPwgBLGgTiMTeHQdhy46DsGXHob3Zcn7xAq5bcSe76na39lDaHO3Nlm0VIYAFAoFAIBC0KR7d+DxbarbxSu6s1h6KoIMiBLBAIBAIBII2iUt1tfYQBB0UIYAFAoGgFVhRsYaZ2z+izlXf2kMRCNosFmNEaw9B0EExtfYABAIQib07EsKWzeO5za9RaCtG1VQu7HpWaw8nJMKWHYf2aktJ+OmCaK+2bGsIASxoE5jNZkaMGCG+0B0AYcvmUWgrBiC3ZnsrjyQ8wpYdh/Zqy72uctDOqXXWEmmMxCAF22tfbKlpGg+uf5pd9bvpGd2d34r/5OZeVzE2eRRbanLpFdMdo2TcHy+hzdO+vgmCDk17+2EWhEfYsvk4tLYd4yhsGciqinXcsfoh8mp3tfZQWoywZftgXeVGzlh4GU9teilsm7215arKdSwoW8rOut38VvwnAE9sepE3t73PTatm8GHelwCU2ysospXs1XO0F8S3QSAQCFoRl+Zs7SEIWsDtax5kZeVaHlj/dGsP5T+BJP33fMD3r38KFZV5xX/v1fkuTWVB6RLK7RUB+0vsZXy7+8eQ53y7R9//0U5dAJ+7+GouWHIt1c6avRpDe0AIYEGbQCT27jgIW7aMEntZaw8hLMKW4Sm2ty/vWPu1ZccRwJWOKlwhZnw0TWN+8QKKbaUAVDmrvcdqnbXexxWOSoptpWFtaVftfJ0/h7e3fcAD65/m2pV3eo+5NBfnLb6av0oXNTnO5eWrUdH7vmr5rS17ke0IEQMsaBN4Envn5ORgsVhaeziCfUDYsmXUuupaewhhEbYMj0trX0Kyvdqyo8jfwvoiLlw6nX6xvXhs4D2srFhL9+guxJljeXv7h3yRPxuAntHdAs77sXAek7KOQ9M0pi26AoAZvW7GXljrteXS8pUsKVvB17vnBJxbai/jplUzmNHvZs5YeGmzx3rX2ke8j0vsZRTWF5EWmbq3L73NIjzAAoFA0Io4VREC0R7R2pkAFrQe9a56Llw6HYB1VZuYV/w3d619hLMWXY6maV7xC7C5Jjfg3HlFfwHg9AuVmrHpCX7XFnq371n7WJD49bC+ahM3rZqxT+Nvyzfp+4LwAAsEAkEr4hQxwO0G1U/0qmitOJK2j0N18uiG5+gT25OpOSe39nD2G5qm8UPhrwyI7UunqKxG226t2Y7FYOHPkgUB+5eWr/A+PunvsxvtY1PNVgDqXbaA/fNZxPwli8iKzGhyzDvr8pts0xhbarYzc/vHnNvlNLpHd92nvtoSQgALBAJBK+Js41kgBD7KHYGLihaULmVYwiBuWXU/3aI7c23PS1ppZK1PXu0uLIYIki1JGCUjf5YsYEHZUhaULQ0pgH8s+I3fiv9iTeV6bul9NS9vncng+AGc1WkKyREJ3nZSmCCISkcVVqMVs0GXMSsr1vBnyUKmdTqVOHPsAXmNAPOK/+KFLW8C8NrQp8iyBgvQCkclL219mz9LFgYdA0iNSGnx8+6q3x1yf379nhb31VKe2fwKALm125k14oUD/nz/FkIAC9oEIrF3x0HYsuMgbBmIXXUEbD+w/imu7nERm2q2sqlma5sWwAfSljtqd3Kl32Kp6T0v5dnNr3m3NU0LyOawu76A57e87t1+ZMNzgC4u5xX/RZolvEAss1fwQ8Fc3sv7jIFx/Xh04F1UOKq4Y83DABgwcFn38/bba/OnzlXPk36pyS5ddiPfjn0/oM2Gqs3cuOreRvv5ZNfXLXreWlfdPocx7A9K7GW4NBUDUofIziF+1QRtAk9ib7PZ3NpDEewjwpZNo2ntY/pc2NKHpmncsfqhoP3+hUy+CZNiqi2wN7ZcUraCd3d8gktTeXrTK7y347OQ7T7b9W3Atr/4Bdhem+d9XOeqZ/qKuxp9Xk+RGAANDbtq925fs+J23svTx7G6ch1ba7YzbdHl3uPf7PmRE/+aRkF9UROvLjSaprGmcgN76guZV/y3N2vDioo1nLbgokbPfXHLW02K36YYnjCYRwfcxTU9Lvbum7rg4kbO2P/0j+3NQXH9Qx47+e9zOOnvs9lTX/ivjulAIDzAgjaD8DJ1HIQtG8eTYsi7rakhKz61BYQtdaqdNRTai4P2z97zs/fxq7mzODb9cMyGtnnD0FxbbqvJY0vNNu/Ud6m9nLlFfwBwVqfJQZ9Vz7Fw7LEVkm3Nwmwwce6iq6hT65s95r9LFzP5nwt4e/jzrK5cFxSGcu2KO0Ke98iG53BqTiakHsKp2Sc1+/l+K/4roADFE020L6gvIt2dIeH7gl+a/TwAt/W+lkc3Pu97rkEz6BfbC4DURrzgB4zcIxnUt5rz0qdx3WsVmAd8DunLQja9eOn1fDr6TazGyH95kPsPIYAFAoHgX8apBsb92lR7u76Q+ONQnUiAydCxLi92zdF0I6DMXt7uUkbN3P4RTtXJWZ0mM3VhcBjHT4XzvI/rXPVEm6K824vKljfZ/4PrnyE5IpEqZ3VAGEmkwUK9amvkTB8XLLm2We08eLIpzNz+EaX2crIjM3g5dyYWg4V3RrwQ8Br8aaz6mofxyaP5w72w7dei+fSI7sp9659s0fgAxqWMho2+7c7WbO/j9BZ+hp4YeC83r74PgFhjPFWuiibOAMf8W5CsZZiG6+EojsK+LM3NYCn6uY61J2MOI4ABTltwEd8c/F67DYcQt/aCNkH7TdIuaIiwZdM0rP5mczVPBPzbtNSWmqZxyj/nMemf81hTueEAj27f2FmXz8aqLQCsrljH+zs+x67aKbNX4HCnpnOqTu/jzdW5Yfvy5/fifw7MgBvQ0jCaULZcXr6aE/+axme7vuGr3d/z9vaPmuznoQ3PUmYv5++Sxby05W3uW9eUj1SnxF4WFEP99nCf9/O0bJl3R7xEhiWtma8okD4xPTg587iQx5Tdc3g5dyYANtXG6SFEfnOZmDqeG3pd4d3+Mv+7kOL309Fv8tnoN/l09Jt8ffC7vDnsWZSD3+Wczqd5xwvw1KD7AZAzjw0S5RNSDmnWmMYkDadfXG+cSy/EuegKJqsPN+/F2OPQVL8bVVdE4HGt6ZvYHwp/bd5ztUHazC26LMtG4DDgaOBgoC+QCNQDecDvwKuKoixvop9tQJdmPOWLiqJc3URfacD1gOzu0wVsAT4HnlMUpbqR0z19xADXAVOAHoAR2A4owDOKorT/QJr9QHtN0i4IRtgyNFWOamyqnRRLUlDmh+Z6wf4NqhzVfJE/m4mp40kzJrfIlv5Vpm5dfX/QAqHWxKWpFNmKSTQnYDIYuXzZzQB8MPIVblvzIAAf7vzC2/6wlINZW7mRaFMU/xv8CF/kfxuy34bM3PERp+Y0f8q9KTZVbyXeFBvgVba57ExZcAGgC6g+sT2oddZy59pHGBI/kHM7Tw3yyjX8Xs7c/hGf7fomoE1zpvBXVqzhnMVXNdluXPJopnWawhXLbwnbJtYcwyejXqfUUU6OVU8p9sbwZzjxr2mN9j04fgATU8d7QzQAjkmfyPiUMXy9+/smxwawp76QWldtQFqvHbU7mzzvhIyjMBvMjEsezfySBXSL7szqyvUBbd4a9mzQjI7Ho3tatkyaJYVBcf0A6BPbI+z35KKu0/it+M8mx3RX3xsA0Mq76/81ONJwOT+s28kJXYczx3Jf+JP9Ra8aLAkdC67GPDp85ocXtrzJsekTmxxjW6TNCGBgETA0xH4z0N/9d5ksy08AtymKckBXkciyPBb4Cmg4DzHU/XeRLMvHKoqyseG5fn30BuYA3Roc8ryei2RZnqQoyl/7beACgaDN4VAdnLnoMgAeHnAnOdbMgOP1rubHRB5oXt/2HnOL/kDZPYdZg/9HsVbq9Tburi/gh4JfiTZGMWvHx3S2ZvP84IcxGUyU2yu8q/kBukc3xw/x7/HS1rf4oUD3Vh2cNMK7/8fC30K2n1f8NwBF9pImc7U25LeiP5mQqnvvim0lvJb7LhmRaUzOOoGEiPiw52maxnt5n9ItqgvjUkazsy6f61feDRAgkl7Y+qb38ZObXmRo/CC+K9BjkTdVb2VlxRqyrBnsqtvDWZ0m0y26CzFEUaZVUGgrppMlO0j87g9eGPwoV6+4DYABcX3oFJXNff1u4d51jwe1vaTrOQBEmaKIauD5vLfvTQFeVQNSQN7l+/vfhlEysLxiFb8W/YkBicNTx2GSjBySPCps+jF/Ll56PQBxphheH/YM0aaogEwWoUgyJ9A7RheZ41PGML9kQdDN7N19b2g0BMYgGTg8dVzY44UVTs79Xx4akBpn5JCjR/FnaejXMzphOCdmHYVL1bj5HV+aNKdL4/u5OUAO3+yC6CPNQd53L3VJaKpRF8KOEGEhNRk4l1wC1hJM/b8IOjw+eUzY19LWaUsCOA7QgF+BT4C/gHwgGpgI3A90Am5B9wo3tdTyfeDyRo7bwx2QZbkTuoc2GagBbgU8eUtOBh5DF7XfybI8JJQnWJblWOB7dzune/zvA3Xu1/M0kAYosiwPVRQlr2EfAoFAp9RexrLyVRyacnCbXWDUGCX2Mu/jO9Y8xBvDngk4XtdGBPDs3T95FzTZVDs3r7ufPG0XjiKo1Wr5cOeXAe131O1i0j/ncWr2SUGCamvN9lZZ3OfSVFyak8n/XODdd3Ovq7ziF/SFVR5mNmPav6U8ueklJqQeQpm9gvP9Yle/yJ/dqFd8cfkKPt6pX2rejn3e66UG+KP4HyyGCP0iWTTfu393fQG76wsC+tlQvYUN1Xp4x4x1T5AakcxzAx7kRe0dWA2nZB3f6Pg/H/02V6+4jd31BZyUeQzf7P6hWa87yZzk29AMlNe4OCjuoNCNdx2MM13DZAyOHx2WOBi1qB+G1HUAfDbmLa89Xx7yBEb3Z+rGXldyY68rA869vc91/FO6mAfXB37HwlHprOb0hZfw/shXAvZ/OWZmo781saZoAEpspd59PaO7MTppeJPPaXeqPPR5EQd1iWTKGP2GSNM0Pvunkjd+8fVXVOmiszqKP1lItDGKGlet99g50mQm9TgRi8XCjmI7a3b6ZpFmzSsPeL6Huj3N9Pc3IZlsaK4IjL2/Rc09XD+oGXHOvw0kNWzIg1bRBSo6oyZtBoMLQ9oa77FlFauafL1tlbYkgD8HZiqKsq7B/hJgpizLPwBLgEzgNlmWX1IUpaBhJ344mxOiEIYH0MUvwGRFUfxz27woy/JmdM9uD+AmYEaIPm4EursfX6koyut+x96XZXklsNj9PA8A5+/lWAWCDs+NK++lyF7CzrrdnNfl9NYeTotxNPC+VDkCf5pasip+X6h11WExWLwCwoOmaayv2uSNk/SQV78LgDfzGg9lCOdNLHNUkByRuPcDbiFrKjdw15pHgvY/senFf20MHsJN49e56rEaI6l21hBhMBNh8E1Br6/yTSi+sOWNgPMe2/i/vR5Lkb2En4t/925/mf9dwPHPRr/J1AWXoKLy/OCHsBgjeHLQfRTbSugW3ZkyezmJ5ni+2dN4mrcHPy31zne+NKeUF/J3AGD2myE/PHUc878+mpfqS1m700b/nEgizRJvzi1laFcr1x6fQnSkAdeqaWid/yDBEkPE2Ai+Pvgd7Koj7GLROcuq2JBv4/KjkxiZOIyJqePpHJXNkamHcvZiXSQfmXooC8uWUukMlgav5s7CaoikTq0nw5KGSQovj2ptKrY6q/e99fD0Qfc3+v54mLemhn821Xr/rjs+hUe+LGTznmC/XE1+b+4edgMxzixu+HAL5pEvc1TUFDJrsnhMKaWoSmVATuMLaKe/XgGkeX3ormUN0rk5rUHnfH5TZ857YSfV9Z6YcQnX2qkgOQMEcLWzRv98+BUvaS+0GQGsKEqjcw+KouyWZfkp4EkgAj1W+N39PQ5ZlpMAzy/XDw3Er2csP8iy/KN7DFfIsny/oiiqXx9GwHNbuqGB+PX0sUqW5ZnApcA0WZavVxSlrGG7/woi4X7H4UDY0nORWVC6pM0K4HJ7BSoqSX6Cz6W5MEpGlpYHekmuX3V3wPaB9AC7NBe/F/9DJ2sW01fq+Vdv7X0N41P0qUuH6uDaFXeQt4/lUj3c2+9mntv8KuWOSj7f9S2bq7dyYubRHJpy8H7pPxzba3dy6+rmCZBQpFtSKbDtXe7YlrC4bDmqpnpF+bROpxJljKTKWeP1/gIsKV+5X5/3rbwPQ+5/dODdRBojmTnieVRNJcWi+37izbHEuyuq3dbnWlyqRpWzJmRMarQxilG2y/gx14G5YcAfkGXuRL5Dn+S8rNu5/OjOIfvbmhp+W1Pjbffb2hp+W1tDfJT+26HuGE8psGhLLSN7RGE1GvX9msZzs4s5tH8Mw7tbKaly8sxsPUVdvUPlJjmVG3r5JoDv7HM93+35iXO6TGVj9ZaQArjUXua9EX3moAcazWxw54d7WLvLRcThEppfaEbD2Y4/1tUQazUwuEskS7bW4XBpjOoZxV8bfZ7cldvruejl8LHHdqdGVFV//t5cB1XZOOY+yHeAfgujj3djftgJ7RbRJ8vC+H7RjOltJSbSyLXHJ/PwFw2+E5oJxx+3Yx7vu9E8Z/FVnNVpMmd1mrJfxvFv0WYEcDNZ7fc4O2yrfeMEfO9LY3NjH6EL4DTgEMA/EeJYfLHDTfVxqfv5TuQACPr2gidJuxDA7Z99sWWlo4r5JQs4NOVgYtxTjP74xwG2NqqmsrVmO12iOqGher1Mn49+G5PBxCtbZ/J9wS/c2ed6Xt/W+Fe73lVPbs0OXs19h6k5MsMSwkwbN2BD1RYe3fAc0zpP4ci0w0K2+WLXbGbt+Dhg32Mb/8f4lDFsrdkeNo9qUxgw8L8hj3CVX9zkyZnH0i9yEEb0qWNl9xwA1lZtpEd0V7IbxD63BJvLTpWzimpnLQW2Il7c+hal9jI+GvUa66s2MaMZ2QiOST/cGwpxabdzeC3XZ5dnD3qQXfW7yYxMJ94cx6LSZZgNZlyayxvDqhYMwpDe8infg5NGkBSRwOw9P/N36WJ+d8cXA7yfF7q4xN5yY68reGrTy81qe2LG0QyI7QPgvXGzOVTW77LRM9PCqU9uJz7KyOPnZHD9zN0c2n8q43s4vSnAADpZs1AXXsePRYGzHP7ZBeToS1hl/JZTso4P+b1uSEVtYNaRuz4s4K0rc4iKMGA0wmlP6Z7lOcurufe0NO771LeWfO7qGuauruGVS7PplqZ71w9OHsHByXrc9466Xd62CeZ4jJKBEnuZt3CGAUPYMb7+cymf/eNJL2ZCssWjWcpDti0od/Dg5/q4poyJ4/N/KgHolhZBbmHzBes3i6v4ZnFVs9vvC9NPSKF7um9GYlzfaCDETaEjGsdv92Ce4Lvh/CDvC1yaytmdTm03adHamwBO93tc2ZwTZFk2Aaq/h7YJRvg9bmxxmv+x4QQK4Ob28Q+goqejG85/WACDSLjfVqh11RFlDJ4Sawl7Y0tN0zjLXdFpfslCHh4QSpj9ewK41F5GjCk6YIran2c2v8KvRX9yeOo41vql/Hpt2zt0jersXVH/0IamYxErndVcs+J2AFavXcfXB78bFKbgT42zFmX3HN7P+xzQK2+NThyOxRhBhaOKVEsyC0qXsqhsGXMK5obsI9wUfe9t97Im14D58OBlFrf3uQ4JiYc3PMvDA++kS1ROUEzrMQ/mYp5YEnTunyULmZpzctjX1BTPbXktQDh6OGPhpWHP6RrViW1+VchGWY4hPaU/ifEOjko/jIFxfbl2xZ0ARJui6OsuQgAwMsm3Jvv2PtdBXTL3/+ZssQC+qvuFHJdxBKsr1zN7z88hX8Pe8O6IFylzlHPdiru4oMuZ/FmygElZxzM+ZUyzBXCX6uOZ8uQODhsQzekHx5ORaOaUJ7bj8rtaltW4uOQVXTR+t7SKz4++CKNk8nqCNWBbUYgFVjbfYr//fWEAZIpyLAzsXBrcthl8s7iSLxcGX/b9xa8/l7+2ix/uCuGO9m/T7TwyItOYvvIu7yyT1RDFuf/Lo7DSRXq8iWfOz6S4ykVxpdNP/Oo462MwuAXw0PiBAMxdVc1jXweKRo/4BZolfr+5rSsXv7yTggpnk233lTMOieejP/XXFWkOFK5Gg8S9p6Xx5cJKNA1W7fCbqVKDfxc/3vkVwxIOYmvNdiTgxMyjD+TQ95n2JoCn+j1uKjfI0bIs7wByAGRZLgT+Bt4Gvmkki0Rf938VaCzxYy76d18C+oXpA/S0aSFRFKVOluU9QFaIPgSCA8a2mjx+KJjL1JxJrKlcT0ZkGj1jujF790+8nDuTntH6hcOhOXhi4L1Bq7T3Jy7NxcLSZUSZfKJ7ZcUaPsr7kqSIRMb4LSrRND3OM92S4p2q3VfqXPU8sO4pRicN4+QsPY9oQX0RFy2d7m2TY82kzF5BiiWJh/rfwcMbnmWtO17Tf0ESwA8Fv5Ia0bKxvbktUES+te19JqQeQvforiGF8Mc7v+KL/NkB+0rspTy16WVya3e06Ln9GRw/gN3lVtCcOBdfxtHHreWCLmcQY4pGQvIWtwi1kGv9rnrenKtHcTmXnY9p6MyA48sr1uy1AF5XubFFwvGOPtNJjkiiR3QXLlt2EwW2Ik7LlrlnphPI5N1rOvHlwgoGdsrUF4TZY/l5ZQ3DullRFldSUesiPsrImeMSsEYYOCR5FL+sqgY1fIiEc/FlGIe+hWTUxeCHI18l1hzjPd6SrBgXdjmLt7Z/AOg5XuXMY/li12z6xPbkzE6neNslRiTwzdj3AJicfYJ3f//YPqyt2sDZnU7l013fYAuTZu9Z9zKZ75ZW8d3SKm44MSVA/IbipW9rGN7jXBaXqlQn/c1RcafgX/jYueZUpOhCtLLuQeeu2WkLWKzVEkKJ36bQNI3ZS6tIjTORnmBi3poajkg/ml/K9MjGNEtK0KxEdXUEzko9s0NBhZOznmtkfbo91vtwWMxogCDxuzdEmCT6ZVtaJIC7ppp54pxMlmyt49GvmjeGH+7qhqppfL+sCptDIzU+WBKO7RPN2D7RvP5zaaAADsPG6i28te0DJCSOSZ+IuQ0XxGm7I2uALMtHoYcnAPyhKMqKJk5pONeWDkxy/30vy/JZiqKUhzjPE7pQpihK2NI/iqLYZVkuR89V3LBmoX8OlMYW6nmOZ4Xo4z+Fqqrk5ubSrVs34QneD1Q7ayi0FdMtqjMbq7fQOSqHUns5G6u3MCFlLDeuugebamdFxRrvlOBno9/0LoLyVFECmLrwEj4Z/QaRBkuzVvQ315aF9UW8kvsOC8uWhjz+nntq+PktvhD6XfW7vXGeTXlJG6PaWcPOunw6R+Uwe/dPrKxcy8rKtRyRdigxpmgWlQVWP9pZp6cYqqmt9YY6NIb/whgPGVo/9kiBa3w1RySSOfii8vXuOXztDh8YlnAQA+P6MizhIErspSSYE0K+Z+WOyr0Wv68OfYqsyHQkSeK8X/ULvlbZiek9xpGbm0t8t7gAW772cwmf/1NJ/xwL952eTpzVyHVv+9IwaWU9g56j1B7e8+dUnWho5NXlk1eXz6jEod7FTmX2Cm+Fq6boFdOdG3peQaeoLOrtKrOXVPNYnydJiTNx87u78cRMXvH6Lu/inmfPn8L093YDwWWOP/6rgvH9oimpcrK2CeGmVXbCufhyDKlrSSw9jNixMQHHo4zWZsUZX9rtHI5LP4IPd35Bnauem3pdSaQxkoPi+3vblNe4OP2ZHUjAt7d39WZS+N/3xXy7pIrHz7+a+uxtDE84iMnZJ3DfuifJrdnBObFT6JzViQJbEYWbBvE2gctOnv42+D1oyC+ra/hldQ1wHFjG8Zqfp3dgJwur84agAT3SI+ibbWH20vDT97FWA2eNS8BogBOHx2E0SBSUOzj3habz8TYkO8lE3+xI/UbFzbEPbQtqZ+gsYXR/PLtFd8YoGQOOayEWhIVDs/kE8Kvf1/FKcfOKpXg4e3wC7/1R7t3ul2Ph/MP0UJTTxsbz29qaMGcGU1mnEhdl5PCBMRw+MIZjHmx6LDXr1xLdtz/vXNMJTQOzUUJzuXDV1VG1fDE169aQfeHlSEYjZxwST3W9i6MHx3LDrN1h+/TczGtobba8u4d2IYBlWc7BFx5gA65ppPka4CX0whk70ANYUoBDgduAIcBxwBeyLB8ZIjTC86vVnFUpdegCOKbBfv/tpvqpC3FOo0yfPj3gYuSJt3nxRX1RhcPhCKrcZDabA85pa23q6uooKCggNTXVm3C/rY/Z06bWVcceWyHdo7q06niqbTX8UvQHw+IGceeGhyl1lHN8+hF8V/AL/WN7ez2W/qU+/ePhGqt0NXXBxQC8M+IFkiISGx2P3W7nn8LFaIkSv5X9hUEyMC17StCYX9z61j4t9Plk51ec2Wky4Ht/6l02zAYzRskQ9j1cX72ZOzeErpR0xsJLiTRYGBw3cK/HFY68RYdjHtUgyY2paW/Y0vKVLC1fyTs7Pmm03V1rg7MfNIdBcf3ItmbgcDj4eWU1e8p9Xqea2npv8YSIiAiem13E98t9F+W1O23eeMyGOObfwsmTlzI6YRj3bnycnXW7OfGvaSSZE3j1oCcxuAuRrqhcw/2bngo4N92SygWdziTKYOWejY+FHfthyQczr8TnGX6g161EWaKosalMfmI7AKu21zL9uARWbvf9FPtWtsP1M8NfzEFfyBQO166RGLMXoZa7vbs16ag16ZQAz31bwInDornyLZ/gPej4LAr8Yio/G/YmT2x9iQXlSzgorj9HpR/G4anjcDgcvDdE/54+900Zv6yu4/KjEqmxafTJtjDzV124asAJj2xjcJcIdpW6KK7SPZe3zKygW1oan1kLuWdyEvf0vBGbzcbq1avp3rULjtIuPPbrnkZfd9MYAsIcAG6VEzjnRd3nM7CTmRE9rI0K4FlXpGONjAj4niY1HSLsJSZSorpen8x9bFo6qfERAQI4FGrhAKSUdYxMHMa1bxRwx6TEwJLMzqZLkr9zdTbnvrALXH7FYUIUkWiKIwdFBwjg+05NJtIMNpuNTokQYQJ7M53AD52Z4X3scDjISjSSX+Yi2iJRY9MwGeCFi7P5cUUVXyyopGfJCtZd8TD9PvkWU1w8EuCotpN73x1ULvbFeJu7dCPhsCOIMMCVR8VhNpsZ3y+aP9bVoBYMxJC+OsRoQELyOigO5HVwX4ottXkB7M6n+zW++N/rGvP+KopyQojdu4GPZVn+EvgMOAk4HDgLeC9MV80JNtwfbVoc1Giz2QKCzI1GIxERejyOqqosW7Ys6EOSmppKjx492mybVatWUVFRwerVq70f+LY+Zk+bmepn7GQ350iTGZE2ZL8+l0N1gCYFtcnTdvOXeQnX9ruUbtGdsTvt3LJkBjsIXMn/nTsOda1feqVweKphNcZfJYsYmTCU7atyA8ZTqBWTnJRMUWw5b2zTv1Ifrle8x6sLqjBipCKyihsOuoJIY+Q+r3J/P+9zzuw0mdzq7cxdPY8l6ip2kE9PunCGQQ75Pte7bDyuvdJov/WqjQXlS/ZpbP4MoT/9HUOYVZ2FunsIhszl3mOu1WdgGuRbnX9M9AR+qPltvz23PzlkMk06GZD4RZtP/7g+HN/3aKKMVlRV5b05a/hoRaCgOfXZAg7uHIM13c5bvxWzflcLVpvb4+ixcwAlBWV6oJibUkc5Ny65h9OkE1jBWn7WgqPZCmxFPLr5+aD9sYYYMqxpzOh/M7HGGN5c+I732PEcwZ8L1pKTkcwNn/kumn+sr6OwuBwIfaHc26hyV+4E1G2HoxX1Q6voHHT8u+W1fLe8NmDfqqU9MPXXL1/jGMnSZcuZyGgmJI1hXJ+DWb/LxjEP5pIS7eTiEaV8tjqezSX6uF/5KXySoBXbg+2SW6hPYJ76zG5iLS6O6VXJZ6szGbQ+nwHdGk9Nd/UElZED9Nd03ou6NzY5yklJbeOSYcPalXgu1WXFBZQlRAGhvYDXjS1m1cqCkN/Tm8bDk3+ELyYBMP2QInZVmvl0VQJxFheVxXmkxvegW5rZ+9pDUp+Ea+ml6AWrHVz8WiGmkUlIse4boSYE8C2HFlJdoi/dkaL9JngbCOCHT1bp1q0LSTEm6mxObpu5mfVFFsZ3raHGLjGhew178j1LgHTWrl6BhO93tVNcAltKmxZ43VI07+I1z3t40VAVpyphc0qsL7Jw5KAYpHee4EjJRPTyXLqVrwVg3dQT0TKy0KKiMWzdFNR33iMzyFWBBD3Hc2pqKndN6cGqHfXc9N6UsAJYdZlwujQMknZAr8tjxux9IY42LYBlWY5EL0gxzL3rPkVRXt3b/txhCxcD2wArcDbBAthz+9iceRBPm4a3nNUN2jR2Sxquj7A8++yzREb6vqT+d0kGg4GhQ4eGvJPy0BbbDBo0iBUrVjBw4MAAD3BbHrOnzYNL9Pyc2xN3c2T24XyV/z1HuqfS9+W51lRu4NbV9yNnHssFQ88IaPPgkv+BHe5d9zjvjHiBt3Z8GCR+DwSv5M7iFWYB8MKAR8iMTOe3kj95bduHesbu4Jl/AH7U3DlI66Br/mymZvtiQU9MO4p+Mb15YmvLc7WW2yu4ZmXgYrnNbGfIkCHem0LQ32d7V5XHNzcufhsyLO4grul5MRcsvbbRdqMTh3F1j4v5Mn92QGzu6ZmTmJols2mPHf4oxrXxJNTSnhiSNqOWdUcrGoBr07FMGhHLOT2OJjIikp1rd7PGb1FdY7Qkddc53c7gu1+zGNjJwu2jRmI0mTC500ohESR+Pfy9I5q/3296atzDFzdmM/kpfWZh1vJ0SqrVgDywADvI5/2Ir9lja34l+HhTHO+OeJHCChf2OomNVXaGZRzPLwV/0TOqB19/fXjYczcU752XKM5qoLKukaBYzYhW2rvZ/WnFvqUeLscg7vsjnZRYI+9cnY0kSUx3e6OLa0w8Oi9tr8Yciiqbkc9W66J3Vb6BVfmBi7kiTJAaa2RXmYvjhkRx3MEp3s/G0YNjKKl0cN5hqVw7M/xn7fSDYxk5PBN+1V9Dz65ZHDkygSJ7Je/+Xh7QdvpxCUwcqJc+Dvd7OGSwytkv6F7qx6alc+v7BQzvbiUm0sDVx8RjMWWhaRp9e9nomW4mLVG/Jj57fhYnP769Re+PZov1CWCHfkn+7o6u7CxxcP3MfHplRHDskCgG5kQQF5WF2WzmymOqeXllfwwpbueC6nsd71+dQVKcxXtdtlpMPHlhj5C/853n57Oj2MGMqWmM6JaDqqpoTie2/J3cfmoOF7/W9Hfk6Qt8N2D+76Fqt2OIiGACQE01q2brafb6Njhf2pOPRHi61NeSNPQI75gBBnWODHjNQRicSNKBvy7vC21WAMuyHAF8AbrtgMcVRZmxr/0qilIoy/JfwBH4hLU/nl/6RFmWzeHigN3j89xGN7zs+18t0mhc3Ho822GkQzAWi6VRt7//h6a9tDGZTBgMhkZfW2uP2eayM2P14/SK6c6FXc/CbDbjVH3zU1ZzJA9ueIZNNVtZWLaMhwfcQT021tduZnjCQXyV/z3LyldyZ98biPTzRoV6rl11e7yxrsruOVzY5Uws5uD3pdRdYezbJhLUt5QLu5zFsvKVLKvQ7+57RHdlS822gDY/lf7OJd3O5n/b3gzRQ3g+yPuCD/J8JTUv6n42ZoOJzwu+ZWtNyy5c4eJxdzh20Tuyh3fbrtp5dHPLCwmMSRlOaqRvQdtl3c7l8NRxRBjMrM2v4vH5f5DeYyMXdzubxIh4LuhyZoAAPq3zSViMFgor3T8jLgtawRBcBUO8bdS8cYw+LIOoSP3C++iAu9lVv5usyAye3fyatzJbQ14f9jSZkenk1eZzxXJfxbCRiUM5InU8PWK6sqe+kLvXPgrAA1+WoJUms3irjZ5ZVu76MJ9h3SJZmrv3OYhfviSbN+eWsniLHsn16LQMoq0RSOie1ZJq/WLlmPsgw4/5kZUOXzGGlojf49KP4LS0M6l3+DySHs4Y/wD/rLCjF9xsnFE9rSzcXBfy2KPTMnj0q0IuPiKJqjqViQNjiI8ycNlru9he5ODdazpRb3Ny5Wb3CX4LoJri6uOSeeH7EnBaiSgZjBpZwu+L9UyexVUujn9kB3dN2X+CtyV8dUsXrBHhYzVvPEn3xDpcGjnJ5ewsCbwkDuhk4bGzMzE3qOiWnmjBaDRy9qGJrNpRz/Jt+ufs0iOTOG54+HLQnt/DVAt8cF0nTEaJ+Chj2IwO4/oHemwjIww8dnYGt763h2njEzhhWGzjC9kgoBCE5ozksqOSMBokuqRG8MXNXUOeMqhzJNoPw9C6zkOrTUGr9GVmTUkI9p+Fu+68fnlOwHbZ77+y87UXsO3KwxSfwNefzmHuqmriooys2lHPV+7FgHEWF5U2/SbFaoK8F5+hatVyulx/K0Vff0753/NxlpeRMPZQejz4BLai5scTN6Tk689IHDmGyOycoGOuHWMxdg5OdiVJGgap8dfuz/5q0xLapAB2py77BD1WF+DZpgpltBDPvEVCiGPrgaPQ5yW6AsFzAjpd8U3sNaxet97vcQ9ga6gOZFm24lus17CP/xRtuRDGhqrN3LjKlxJqVeU6jk6fQI41iwqnL75ta812NtXopl5ZoVfKeWzj/1hesZrLu53nXdW9uGw541JGN/qcT/vF6QL8VboIl+YiNSKZgfGBCUOuc6dxai6PDLiLKmc1kUYLX+Z/x7aaPMoc5QFtJmUdx6GxR7M1eRs58bEsLFsWJICXlC/nEs5u0XOHwiQZqbOrPNBnBlNfWAW2OMaNLMeZ8ytLypta6xqa9/M+59Y+14CmEWWK4tvdPwW1+Xzku0xZdI53++NRr1PmKGfW9o+9pXKLS808s7iIO4beT5G0ieMzjvLGtT31RQ0llYMp2TyYf7RIXvlRj6H293ZGGiP5eWUVTyiNe1D/2lBLdpKZLxZUcOLwOHKSdO/Y5d3Po0d0F4YkDOLtbR8yLHEQcuax7Ci284pSRu/MMr5e5OD2k58hLb2aXjGBK+8zI/0yR0q+yf67PtR/AhsTv4nRRspqXAH7Jo+Oo6LGxS+ra3j4rAy6p0fw0JkZbCmwYTZKdE7Rve5HDY7hxxWB9/3dKk5j6ohD9ipWuWLFCZyzNnTM6kd/1IbcD3DWuAQ+mF/u3T58QIxXAL97TSfe/6OMOcurefjMdIZ2s/Lx9cGZGl67zHfR33TbzbiGHowhYRvq7qFBbf1TSvlz0vA4XQADNStOCzlWT87Y5nDWuAROPySevGIHd364h0P6RLN2Zz3HD4sjr8Te7LyxFx+R2Kj49cdslHjj8mxcqp4a7ezndVHZKdkcIH6njo1n024bh/T1BfPec2o6k5/cTnyUgeOHxeKsKGfjrdcR3XcAluwc0k4+lbJ5v2BKTCJ+hO+3MTl27yTKkK7WAME8586uFJQ7efKb4pCZDDSHn2B1RjK+X9OByHqxDgPOv2/07rtjcqo393BTOMrL9NhbgwFNVSn/63fqtmwmf6Yvp4azohz25HH8MP1zaTVLXgF83SGlzNneiUP6xrD2svOo26JLlXWXnx/wPOV//c6SiYHXG0u8A2e9AdVpIGtkBTWFEZRvDcz0Y01yYE1yULrZSv22raw+ezJDvvqR2twtFH7xCZ2vcb9uW/ibmbaeD7jNCWB3FbUPAM8c6UuKoly/n5/GIzpDBVUt9nt8MOEF8Ngw54TqI/jqqzMaXwBQwz7+U7TlQhjPbX4taN8D657m1WFPUmYv9+7bVB14n6NpGsvdHtRXcmd599c3KHtb76rnvnVPMiRhIKfnTAJgQ3Vg9rzHN77gfXxzr6sCjjUUpk0xMK4vLhUMBshQ+7Ekt47XuRoVXey4Nh/DcXM9nlgTT5+XgHPXaBpGC3kyIzTFtE5TvPlqG+JcfTrHzvUfvx5ntnR5Kg8MupgRCUt49f1s4rqsodfAXK8gjjJaqXWF9uQBLCtf5V241z26CxWOwBRKmj2Kq9/M563zn+PCpdeR5RrC2U8XcsukVHYWq95v5Qe/qGgV1cxZbgD68BLbiYk0BCyiAnjlx+AMB10tPZAf24bN0XSU6deLKvl6kT7GLxZUcs1xyWzZY+fq45K9qdlm9Ne9vNX1vrys/7grSt3/YQ0/3NUdu1Olpl7jlvd2U2tTyU4yQ3o6WnQhWnmwuGvItPEJTBoZx6Y9doZ2i6TOrmE1w/JtNuKjDfRI12chbpkUeJ5nv4fLj04OEsA7iu1ckjCQztbsgMWXAA8PuIM71oRemDgueTS/zg0vckPRMyOCx87OwGSUvAL4mfMz9ffDTVq8iWuPT+H0sQlkJTXPs1Sx4E96J01kavnvvGEoIF/t5D02sOBvzptwJmvybOwotvPM+Vk89lURh/TVhcXT52U2uno+HDlJZs4/PJGUWCObC+yM7R3lFYa9Mi18fH3nAKFhd2qM6BFFSqyRlFgTkRESF7y4k9JqV1DfU8aEFy+hkCQJkxFS40zMmJrGx39VcNa4BAA0VUUyGLhoov4dthcXseWlZ0maeBSJ4yYECNLNDz5M7YZ11G7Q/T61G9ZR+ssPAAyfu2C/CydJkshINPPkuZk89U2R97MZbTGgoVHvH/drcBIT2fR1KNYamD2iX46Fw/o3vpa9flce9j27MURGsv5q/fdp+NwFlM79kdyH7gloG5Vip77CxNaH7qH/K/r1I8XsWzTbPXctD04bhaZpLNkSTqYEExHjpN9kPZRl5z9xpParJbVfLRsqTeSMrqAq34LRrJE6QPcYO+sNVO7U35/lk3x5fdW6Wl644Umu/aFti9zGaFMCWJZlAzAL8NwivwFcvZ+fIwOfeA2Vf+lb9Lk0E3Am8E6INgCeeqxFBBe7+BM9DCIFOAMIV5/T04cTmB2mzX+Gtih+gaCLNejpuAD21If32oSLzaxx1vFjwW9EGa28se09it3poVZVrmNq9slN/vh7SqjuDVpVJlOe3EGNLVDAmcabkcz6BVJzBHoCPBdt40F9MKQExqZ6qid5SDIn8MzgBzlvsf61zTR2J6PiaD4adQybqrfy9vYPvWEO5qLhOAoHhRxnrV3jxjcrAD1fUcnGEdTbDdBdF8DWui7URqwPeS6A6reQxD+swrX5GKS4PFxbj2RHrYNznnSQHPsI26tcgMaMTwoxdE3E6HakahXBorGh+G2Ic/FlGLr/xKZNx0MzxG8o/uf2FpbWuLhvajoLNtUyf30Nlx+dzJo830XQgIt7Um8j35lDSdWTQVO9xVUu2HElSK6Qiev96ZxiZtr4BIwGieHddY9YtEX/LA7r3rLCKNEWA3dMTmXl9nqGdLXy4OeFLNxcxwtzirms732sT/2Bd3d8CsDVXS/HVaV7qiUkRhkm0TldYkrmyWwsqOL2d5tfOOGHu7rhdGnetGAA39/ZFZtD83o6Z16V431sNEjNFr+aptvyqYwrABht/Yufth3BhzUXcMr618iqymXlKTO577HniOzVF6NB4vkLs7zn985qXhxyeryJVy7NZkuBnWW5dZxxSDwRJn28/XKCF2g1/L2IMEmM6RX4HX7ryhw25NswSnDTu7on/dQx8RhaIDQrFv2DKTaO6L56OraDe0dzcG/dU1q3bSvrr76Y+LHj6XL9rex+7232fKCLtrJff2LgO58S2cn3XSr/47eAvj3iF6Dw84+I7NSF+NFjORCk++W6ffOKHBKiDcgfWLyLIU1R5UEFIUIRYZKINEvUu7/j60KkyatavhRnZQWJhx7O7g9msev14N/uht5ZgKhUO71PLKauzMSGr/SbBM3lovgSmWlxg4ixV5D/yyZclRWUzg3nXwum7ymFRCb4QoVyxvgcA31O0mepotMCQ1y6H1XK8rczoUGUcOXiBQxPM6KW9MHoLszc3mgzAliWZQl4DfCUJ5oFXNpIwYpQfeQoihI2gaB7Ud3b+JYDB1VeUxSlVJblD4BzgWPcqdJ+btDPUcCx7s2XFUVxNejDJcvyS8A9QD9Zli9SFOXNBn0MAC5wb36gKMrelccRHFA8F71QVDtrvBfxcMdD0VhZ3NMXXtKoZ3Nf0eqSgsQvgGvzcZj6fam3qQyO8wJwrTqLl65IITM+iikL9I/uyoq13uPX9riEo9MnsCy3jn7b7yd70GK+/7kTj1YXcd3xyRw/bBCD4wcA+ntz2mPNn/IFqNl+EMaoLailPSiMKcDoXvehFvcB1YRWlYVa1B/zmOfC9qHuOISGq9JLqlwN2owDVwRqSW8a/ug3B62yE67lFzarbaKhmEo1AVeYn+J/NtYG5PNs6FXtZ1nFSKu+nv2E564LMyCj/heGAZ0sPH1eVtjjLUHTNIq+/pz8ma8x/JFnOOy4AVTX+95fT1nX5NihnDw+jXW5Zl6dn0qtvQop4UIwOphfopfm/cSQh1OFUFkEXr88m5IqF93TI5j6tJ6GLTNBfw9NDWJRDZKENUKiYuHfmBOTyOyl96+pKmgqqt3BzleeJ27YSFx1tZTN+4Xudz+IMSpwGtxZWUHDnBFHdf2Fw2p+pag6hqK1MTgryll/1YUM/zm4aEfDGFnA6xWttalU1LrILbTTJ8tClMXAoM6R+kKj/YA1wsCQrvpNzBc3d2F5bh1Duvluaup2bAOXC2u3HtTnbWfdFeeTMG4CKcedxK43XqbLDbex6RZ9IeiIXxcG9b/mgjMAKP3pe0p/+j7oeMWCvwIEcGPkvahXThz0/pdYsrKbaO3uf9E/lP/xK8a4eDKnXYDRGv6GzT+sIi7KgCRJRJg1PPI12T6wUSdEzYZ1FM/5luzzLyHOaqDeEexZB6jftZMN1+uVLfv+742Q4tdXS8uHNVkXvwDWRCcY9HCJna++gGa30b/YN1lc8Mn7fn1oRKU40FSJulIzkkEjJtOGvcqE6pRI6lkbIH5bQnKfWqryLThqjGiqb7yb7rgRYqfvVZ9tgTYjgIFngYvcj78CrgWiZVkO196uKErD3C8vuD28n6CXGc4FavHlAb4J8GQT/wn4kNDchV50Ixn4UpblW4Bv3MdkwJOYcgvwZJg+nkTPMtEdeMU9rvfR8wJPBJ5GF+Il7uf7T9MWCmGomspPhfPoEd2VnjH6hen6lXeHbd9YCVbQQxtayv4Uv861UzCkrMe19UivKNTqQqc/0nYPxRVdALUpUJMesg2akXXbjfxdU4vFmY4tooA8t3fcJJk4Ku0waupVbnt/D2Bg5ZZR3lOf+66EFdvr2bzHzh2TU7E5zIRLjxQWzYRrrXtyKGuRb3d1OurW5pbcbMZzqmbUvENaNjY3nVPM7CgOnYLpkbMyuP0DXxxrn4g1PJ1xOT9Wn8Bzpbft1fMZCX3xDcc1xyUz67cyKutUzjk0AYtZatS7G+57WZe7heI535Jx+jTMSb4aPlvuvY3yP34FYP2VFzDi14XERAaL75Iqlc++80Si6aJSKw+MX3Y2uE/rkmrmpYuzvQK3s/tpX788m9lLq7xT7x6qV6/ElJhEZHYOddtz2XSrfoMwcNanlP8zn50vB94oFSm+MJ1lJxxO52tvJn/W6yQfeyKWjCx2PPc4JmvwzWNEtEr26EpcDonSTdForvA2ef3ybG/4yk2y732LshiIshjITNy/i3z88belJz5Xc7moWbeG9dfo0/FDvpnL6nP171jJD7Mp+UGfmFxz4Znefmo3bSDKfRPRXPJefIako47DHJ9A/qw3mnXOuisvYPDn31P2x69sve8Osi+6gsyzL8BRVsqKybr/KeagoXS95S6vOAfY8/5Mut5yN4mHTQy6iQEY0tV3U2F0r9KKre2LDX0hcbY6JOyYKhb9432uoq8+JW7alxS6q8adeYgeTlK7ZRMbb74GZ5nPp+V5f/3JHFFJ+qBq1n2RCppEvymhHQJmq4sVpxzjG7PFRUy6ncpdkWQMrSSpRx1bfkymy2FlumAGVCfszwJsncb64tqXv+27Wa5c+DccMX3/PdG/TFsSwP55hiYBwSsJArkPmBFi/2j3X2N8AlwUzrusKEqerCvvr9HF80vuP39ygeMVRQm52kBRlCpZlo8D5gDdgAfdf/4UAZMURWliiWrHx+FweBPu70ti633hr5JF/G+L/uP8wchXiDPHBlRE86DZYpEsTS8y2Vnf8ni/hjhXTkOrzMbcT4HkwCl/13oZQ8pGMtNs5P0lQ20qxORjGv4arvWT9GwDe/SFOq6tRyClrEfdfmiYZzKgbj6+yfE8O1v3TBiHWjFEQH69vpiqf1wfbnpnN6vzgqcBPfy2RveIX/l6YLq2j6/vzKbdNu76qKmiiX74CXl1T+BiJNeGEzH2+RaAczpN5d08vYCEmj+cljJpVBwjelgpLHeyeGsdS7bU0S/HQmWdyoT+0bzlLkjw0iVZdE+LYGepg4tf9oXMvHhxFt3TIyivcZEUY+KZ8zO9hReOj/kKgKNjZtPlqIf5ZJmTwV0iefWnlkwG+XuPgr1J/nw4vRNJMSYGdY7kn421nDA8NqQ49afh99JVU03x99+S9+LTgO6B6vfqO0T16MXu92d6xa9k1NBcEqrTicFk4rMbO3NqmIIZzeWZ87OCvLsAnVMiuOJoPVOHo7SE3e+9TeywkWy5W4+ZHvLNL6y95Gw8Qnv1eaEXoTVkx/NP6K/xY0/su0aPY8In6+k8Tl9MZKswU7djG9bOXUOO9bD+0ewud3BY/xZUfGiAs7qKbY/dr3tpj/Glvs9/901s+bvoesvdQV7MUL+xuQ/fS+lcXwaZ5Sc1yFcXgrWXnsPA977AVV1FVM/eOCuCl9JEJjjoNK4cW4WJ3UtjcdSYWDHpaH3hQcM0VpLmdawbIzRcdv1Gy1lRzoopx+kLwYBdb77MrjdfDji1euUyVp89Jej5tz3+AIVffkL/14Jn2zITzfzvwiwiI3zvT4LWid0LrwR7LMn9AmWRardR+NVnRHbuyubbA5cjmXbngqR7qTunRlC/cwdrL55GKCJinESlOrDEOqnIiyR9kD6b029yEYWrw38WolLsVNRYAQ1jhEansRUkdK2nYEUM6YP039S+kwJD0Q5k9eG4znW4bAZqCvTP0KSo9e02frMtCeD9wcPAMnQB3BNdvMahpyHbgR6r+46iKME5OxqgKMpfsiwPBKaje327ACq61/cz4Plw4tevj42yLA9GF/enomeEMADb0fMbP6MoSsvmgQUHjAV+5WXPWnQ51/a4JHRDeww0QwC/sEWPetFUA5Kh+bkLTZKJJwbey9XPu0DTv6KOFWdDVCHmMb7iAGr+CNT8UQTcPVVn4Zw3I6hPddvhsM2XJ/W7O7py/MPbvNspsUZvFSkPz56fSb+cSGZ8UsDfGxssQnLHCefX6R7NkjIz2xoRv42REG1kZM8o5tzZFYAV2+q59f3Gq1Rp/imo7IELT9Q9Q5CSNqMWDuKtuQcBB4Xs4/XLs7nv00J2lji44cQUxvSO4sZZu8nzS/M0tncUg91TxycMjwvq47D+0RRVOr2LwOIaLIyJsxoxSBJJMbod++dE8sNd3Xjjl1Jylm731n/sGVPDfVP1mI4ThsWypcBO70wLJzyyLex7cNRBMRT4hWQbUFHRn/+scQlEmCS+WlRBeY3+2fOMoUtqBF1Sg+OBNVWl9JcfiO4/KDDd0Z58bPlpVKxcyo5nHw86b91l5wZs95tSgCXOxeY5yTiKCjAnJRNrjeSLm7swf11Ns8rtNuTTGzsTbQnvvdc0jeqVy9gwXZ9yLvzSVzVv+UlHABpDLtBvPLb8lETVTgtRaQ5s5SZcdgMGs4rqkDCYNJJ71+KsN1DmXRWv31iYo1Svhy0c/SYXsfn7ZNacN5WBsz7FnJLC9qce8YrMVHkyd1y/d95+zeVkzyfvEzd0JIVff075/HmUz59HwcfvkXnexdj37Cb/LT1NvquyklR5MpbsHCJzgot0ePrTx6VhTXFgrzR5xSeShjFCBU0iqVctpZuiSOlbQ3VBBDUFFlafPblhbyR0q8doUVGdEl3GlwMQneogqWcdqz9Kx1nvE7+SQSN1QDURsS5S+gQvcNw2L4HyrVFe8Rti9BgtKi5b+Bu42k0bsOXvYtU5UzAnp3DQh1+x/ZnHsWRk0vvsCwLaRlkMUK17NhMiNXY8/wS2Pbup+Ht+yL5NVhfmKBcRBVshQxfAlZ/OZPXv+pIho0XFZdc/T1kjKqnMi6T7Ub4b28zhgdePtIHhU5R1m1jG6o8iGHhGoIMgfXCzSwfsV7of4bvhWftpGoNnP8TsMcHhLZraNtf0+CM1FuMoaDvIshyNO5/wJ598ElAIo72jaRpz8uei7rBz5LCJreYBPvGv0HfuDVFLemFIDlx1q5Z1w5AYupSwWt4ZQ4Lu/VIrcjDEB4apj08eTYytB99X62nSsiqOY/uSUFPwGuaJekiGVpmFM0wO3Ka49eRUJg6KoaTKySd/V3Di8NgAr2VUhMSXt3T1bjtdGo98Wcj89b4LlaHPVxizF2OWzDg0B2r+cFzrT2nxWK4+LpmTQgjLjfk2lmyto6TKSXyUMaBcKECEWUUd9jyaKwLX4itobqzuof2j+X1tDbefksqEAaFXbPvH3M66OoeMhOZPS7tULeDGYs6dXUPGE2qaRtGMPiT10N9Tx4j3sfY/LKhdabWTi17ayaieUfy2toaDe0cRazVQU69y16lpqPl/wS/6WtqTd/yCkwjevaYTae6FPvPX1/DAZ/o9tifeVHPWgdGCJAVeoNZfcwnRpvlkDq2iek8EO/5MIKZTNBWb6nDZDUTEOknsXocl1omqSqT0qcVRZ2CjkoqjVhci/afuISLad7O38qOeqHW1JIyfQI8ZjyIZDCzaUutNw+bhuQsyue5tXaBefWwyGjDrtzLvgkPP2J3V1ay77FwchTtIP/N8Ms+9HM1WT+WSRWy591YiYpyYolRqCyOI61RP9yNLcTkkNiqpYaeYN36b4o25DHjvt1hJ6qGHJK37ItW7cr45bPstgfLcqJDHDvrkWyJS09A0LeRnw1awhw3TLyNVnoIpLp6SH2eTcca5bL7jhmY/f0OSjzmBrOtvY9myZQwdOhTb6hVsvOlqknrVkH5QNZY4F7ZKI+s+T6PT2AqSQ4hSD/5T4B6SetXQeVzjk7b15SZ2LYyjek8EPY8rITq1kWptwPK3MzFZVTqNLadkQ7Q7E4FGfJd6uk3URVh9hZENX6cSleKg1/G6d74sV7827vwrwSfogeh+A6lZp2flGfrtXOp37qB6zSrSTj6VB78oZP4GPWTtjIilDPo+fPntlH7V3sVj/9t5PXNU/WbgksX30LViA9ZkO33klt/k+WM45FnUP6fvUx/7ivGkn9Dyf0dd8kDYNpW7LGz9MZkZD/UKOqapRmaPC5dDYL+y12koOpoHWNAOWVy+ghe3vwXAEVr4ak4HimJbKUtbUpbXHjhd5dp2GOrOMUhjn4SaNLS6JAxpa3wN6hNxbe2FFFmGa/0kkhNVCu3FGHt9R7csJ7l/yOTuUZFSz0CyVLJ9V7gIHgnXjkMwdv4TV17TK6SfuyCLOz/cQ3Kske1FDkzY6WndxuED9bv15FiTd+rYn8SYQK+KyShx7fEpzF/vN4Xt9gA7NP0iFpBHswHeIgAh6JMZ+mand5YlYNV8TrIZTYM355YyoFMk89bWwMJrQJMAibPGJTCuXxTKokrmLA/vGbn62GSmn5DSqDfxppNSePIb/QKW0sI8pEaDRHKskZIqF9celxwgcCoW/s22x+6ny813EXvQEMyRPm+iVpELBAvgpBiT92bkwokOkmJNgYupjL7CqR9dl0lsbODNxCF9orj0ECe9d35Mfd5ZWFLicH0+Gi31YCqls0g8bCKlv/6Mo7SIxPh5JPfWhU9Mhp3+HsE4Chx1Bswh4l/NVpUBpxew/stUImJdAeIX9FRJkQkOYpxfUfptH5LlixjZQ/f2H/vQNkCPneyRYWFAJwvp8SZOGqG/hpOGxzJneTUHddEFTdHsr9n+5ENIBo1+pxZC3RMsO3YWmsv3fvQ6sThonEazFlb8AiHFL+AVv0CLxC9A1wnlLPcTwMYIFZdDAk0i78WnSTtlqtdbPejDr4hIy6Bq2WLqcrd4F4Htes2X+nDzyuXNe2JJQzJoaK4GCz3d8bwmYJXffn/Raolz0XlcOUm9mlqHoJHUs46skZVs+i4ZW4W5SfELEJngpMfRzQ/v8XjsAeI721j/VSrRqXY6HeJ7rsh4F4PPDZwtSuymC1lnfSW7/knw7q9ZtxqT1YWzzsCyE32hHnn/e4ra/ldA5gQApMVzSR9cRW2xmZqCCMzRLpJ716K6JGLS7cRk+JYeXZPzDL/nHU2tFkNGXAHZ/cpJ7deylH0BWJIwnvIHUkQ8WBJQ556/9301A2nAFWCMRFv5TMB+w8gZSIn9IKYLeARw5njYHViUJy7bBmg4FlyNIXErxt5+2SA0gzc1XltFeIDbCR3ZA/zZrm+Yuf0jAG7ofjkTM8b/q8/flOdXq0tAspZ7t40FI3Cl6ytxnaunohUGTrFLiZsxDZ3pO782Cec/e++9aTAasJa6Y2DD/7DEWQ18eqMudNftrGf6zN3cmnwvh0bPxTDqIQx9zwto/8iXhd4Y3ecuyKRvdvDna2eJg4JyBypwz1+fYOzhS7/j2nIk6vYJjOhhZcapyUx5agc2p4GXL8mmS6qZi17eiculcfnRydzv9kjeNzWd0TkVEJmCtns+Uow+Vev6egKGEfdg6B8mBIVALy34PK02h4r8WPhqcuE8sv44q6tYnG8gMsJAzvpfqFqxjIwzzwkZ0+mP6nCAJIHRyMZ8O70yI7yLbABWysPIHFrFnuWxdL3/DfhtsndKvT5rOjFH3tRo/6HQ9vyN60c9ptV4xhr9wtmA+lmDMUnBNyC6J08LEBr7mzWfpJE5rIqknnXYaqyUmaaTcuyJRHbqgqppVNepxFgNXhdOQ9u46uvZ9dr/KPzyU4wRKuZoF3E59WSN8E0h5/6SiGSErhNCpXVvPVa9n4HLLmGOdjFgqv6Zry4ws/m71EbPM5hUEnvUUbE9Emd9gyl+SUOSQFMlMoZUkjG0msLV0eQv0u3e+8QiolId7PgjgdLNoT3QHkxWV9C0+t5QtsVKYo/9t3h3f7Lm43Si0+wk9qjFXmUidUANqhNWfZARcJPwbe/z+bvTcYDGR4nHEBvb/Nfj0gxcvvtdXs9q3gyiByl7IoZht+P65ijvPuMZ65AifOFd9s8mYKjdHOr00EQkYDzmM1zfHNms5qZzd6IVLsI1xz17Z03DMPxOpK4nIzUIJHbNuxxt+7dBfexeGsvFKbrwNU/0refXnBa+Hf/mv1EMQ3iABfufamcNX+fPYULqIWRbM0K2KbGXUe+yhT3ekMVly0m1pNAlKofN1bk8tjGwPO3TW1+hSq3m0JSxJIa4mPtTUF9EtCmKGNPeLSZxaS4qHc2Io3JEoVmqkAzuQhHpfjVLQpRD1cq6ozktSCY9JtaVe8RejQ/0BWKnP6N7Xg/pG8Wf62uhLthrC3BQl0gcTo11u2xMHqKh7vkLKXkwXeL0H/NDo+cCoC68kx2vvELGsaOwHP00rh9P4+aqhQw9bA4jBvcl2bUZdfVcpO6nAAakqHS0mnyyY6LISU4AwPK3NbDwrNPKU+dmMtCdtun967pQ79AT5gO8emm2nm7IJHlFqFayEtdnoRfeqYvvQ+p3UdA0vaapqD9P440uBVy+/RWcmOmdZcYTp2kxGzBIoIa4rzcZdIFlLykm78VnSJt0KrEHDUWr3Iq64hmkjEOoqenEhuuvJ+uUqZhK51CRt4eyXCslcxSGz12Iq6YaU0wsmqZRM/dpzDtewXjUTHa/8ybRzKNoYwq9XvuDvtm697pq5TLsBQUUvnkr/U/VRWh0ho210y9n4Jk+T6VaW0r5P39S/sevdLrmJozNuMFV7XY0p980ssvnmVJzv0LL+wnD2CdDil+AXicWNTkNvbdokglJc5I9qpKErrpHzhJdx563Z1H09ecM/XYuBkkiLkoXeBtvuRZneRldbryd+u3bqNu2lbRTplLyw2wKv/yEzuPLSeoZWpR0O6L5wtc4ZSGuz0c13XA/MGhacBx7TLqD6DQbNYUW70LBhmQMrSJtYA1JvWrZ/F0KPY4poa7EjNNmIHNY8NqDtIE1WJMdxGTY8WiNzuPL6eyOwwXYMT+e0k2+30nJoO0X8Qvsm/iN64FxwmsQ3xvQoHYP6oqn0DZ/vHf9pY+Bgn+8mwNO93+N+u+xwaS/P4UrY4lKteOoNZKIPgswPmpui8QvgFFSeTnt3KYbRiSAu3CSYfhdGAboMwDEdYdKvYiSv/gFMA26EHXBHc0bh/wLRGUiRcRhGPc86vxrg9oYRj2IlH046pIHMAzQQ+g01fe7YTzlTyRT6Nk8qefpIQVw5rAqOu/OxakZ2b3kEkzDX9cPaIY2XwlOeIDbCa3hAX5y40v8VvwnsaYYPhz1asg2Hu/pDT0vJ9oUzeD4/kQaQ48tv24Ply7Tyyd+ffA73LP2MVZUrAnZtmd0N54d3DBpho+82nyuWK6v8v527Pu4NJVCWxGZkel8lPcl7+V9xt19b2R00rCQ52uaxvSVdwVVUVMLBoHLjCHLtyBOLe2Bun085oHvc93WMnKTIvk61b04bd7d4LKQk2RmZ6m/mFAxDvgUrTYFdS8F8IUTEzl9bIJ3e8GmWu752PeDrhz8EGu27OGOwue47OgUThkVT0mVk6W5dRy+PLBcclG/R0hdd3vjTxgRD5GpUBnocZBGPoC2SI89Np65HskcwxkffEl118+8bQZWn8OjRx9LQ7SSVWBNQ4rSU6tp9irQXplYQQAANJNJREFUXEiWBFxzL0Db2UgS9/ieULEZT47LhnzkuIV3d5/I7M56ZgvD6IfRipdR0vMW/twexY5iB6eOiSc+ysDfG2s5tF80FrOBLXdfRaJ1DpW7LCR0qQ+Y0qwvN1FdEEFtYUSAgABY/VE65igXRGWQ3nOzV9g1pDB3IEnnPcvqC/SLoicW1Z/lMzMZfO5uPPo+f1EsxeujSelXQ1KveqIvWQLmeOrzthPZpVvQhUTTNLZMl0ntvNonYvtdjj1xKtWrFpJUpS+0cnW9DOO20N/dcKj974SNr2NwBocNGE/+DXXZ42g73FOdSQOhdHVgm7O3of45HS33q6DzawrNbP05iehe3el271OU/DyPna/+j6SetaQOqKZ0UxQJ3eooWBVD5Q6rd7GUv8e3JRhPXYTrs5H645N+Rkrsi1ayCq1kJVLPM1B/u1j/DJqiMR7/DeqKp5B6n4uUOgzXh/1A27u8qU2x9eck72di5z9xGIwataVmknvWBQjKXQvjyB5VGa6bvWLT7GQyhlYRm9Uwi6gPacCVaGsaJj5qGuPUVbg+CV3cJmT7Bh5P0G9ytW0K6h+N18AyTtuM6/2evu0TfwCTFddX4TLdhKeiIoazKr7nysSnOCH2q0bbSlkTIL4n2jo9Y5C9ykhEbIPUd9Y0DH3ORep+GlrBX2h5P2I45Dkkc7BXXnPVo619Ayl7IlJS/8BjqgvXe03nTzaMnIGhX2CqNc1lB5cN10e+a4HxzI1BY9CqduD6Ug+pM50btoyCnhO/eCkk9kfL/w31t+AZupN2/IZx4r16e3s0sycEV1E9AOy1yhYCuJ3QGgL47EVXUu7Q462+Hft+0HGH6uSUf84L2h+qLcCisuXct05PLXRQXH921xdQZA+fVui1oU/x0ta32VKzjdNzJjHJXRIW4NoVd3grfL0y9Ak+2/UtPxfOY3zyaP4oWdDkWPbUF3Lx0uAK2668MaibTvAuNgNdFLvWnM64qJ+5PeU+ACb1PAytJgXnguk8mXkd/cxLmVH4KIvqgxevje0TxV8bGo8Ls5gkbE79u/j42Rn0ybIQYbDB5o8hoReGjEPYVergwpf0H6ibB/3OhIo7Abiu6D0ePqGK6O0zoWABUudj0XbMafT59hap55kYDn6MJz97ngWZf1PvniYbVX8Z90w8FK14GZq9Gm3da0ipI1GX61kDjJMXoC64HW2X7oU2DL0VdVn4hSbNQUvoR/WYN4idE/yeh/qhdypHQ/naoLatwZafkujhtyq8uiCCmHSfIKneE8G23xJx1hlJPHQi3e95EMlowpn7A2z/Gg66E74NjhWv3GVxx+XtHYaJ72HImQCAuukjtLK1GPpdhLryeaSciRi6nIDmqEH97VKIycYw5jG0da8jpQwDyQCJ/ZBMVtQd34e8QDZk14I4MoZUYbQEX4dqi81EpYT2UNeqQyj4q5xu47YF7DfKv0BEPOrypzD0OQ8peWCTYwi3GM17vDoPdeE9SJnjURfdE7ZdSyjPjSShW8vzhB8wojKh1hcKYzx1Eeo/t6NV7cB42KvgrEWrL0adG/x770HqciKGQ1/C9a4v64Rh3HNIGYfg+mxEUHvjST/pcaZhcP1zB9rG4EVUhkOeQYrrjpQ6HK1isz5bNOByDBm+3wHX71eibVOafNn+/JB3DDGGSg7JDi5i4nvuZzH0OBUArXY3rs9GoqnQYKIK4wlzmvXZaw6un6eh5c8L2i/1uwhtnZ5pqDHh6pp/LdrWL7w3gKHQChdBZDJSXPeQx4Pau+y43g9ue+XuWeSP19fzaLZYZh/+SrP620dECIRg/6NqvinaPfWFlDkq6B3THaNkxKWpQWVwPZTbK7h33ePEm+O4u++NmN0iqdrpCzdYWdm0EPF4iwHe2PYeQxMGce/ax7imxyU4VZ9npsRexs+F+g+Ev/j1Z3vtThaVLePkzGMxG8z8Xbo4ZDuk4FyqSZYYaqUqYiSfiNXm34DTGcPxB0XQr1z3Fs9Iu40TdvwRUB4TNLomOhgrp1Beo/LTyiq2F+kX9W5pEaiaxoNnZGA2Spz3Yh490iMY3NWKZivH9YHvB1Q6J4/0ip9INSZS5Mrwil+AZztdj7TQZ4sDJX4BtM0f4tr8IdcDK3cncE/2YABiTFa0ylxc353ka7vrV+9j1xeBYm1fxS+AVL4upPgFcK17F9NBl/mer2hpmxG/QID4BQLEL+iL0DxT1JU7P6X04c+I7+InmHaEvrjvrfg1nrUJDBFIBl/MqaHXGaiqytbcXLod/IS3EIZkjsZ4lO/GUuofXBBGSgqMi9/xZzyd/RYvecgeHd67GUr8Ssf/jCGpF3EGI3Hng7OyFMeHQ3wL32K7IBkjMY59otHXG9BnE9O0UkwnjBPfBthrAWwY8yjYyryf+wMqfq1pUNfM7JoR8ZjO0GfhNJcN1w+nIcX3AmsGxokzA5pKgHTM57h+CM67axh5P1KvM/WQpZhOUJ2H8bSlSNY0vUGDmQLjCd81Kn5BDxNw7fwZavMhZSgUL9P39/DlcZbie2I8IkRlzejQFeSMx37pi3dtwJHpP1K+PdJ7vmnKAjTVCWXrIa4bkrlBqJ3VXb67ofidshApev9UVgQwjHkcdfEMDP0uQV3+BFqBLtB3m4aRwZtgSWr8/EOeg1EPBXna/ZHSRrZoTJIxAuOZG3B9GFgQ5aXM8zhDPYQpZXngbJ1sTi1BeIDbCa3hAT5z4WVUOQNjZA9LOZjrel7KWQuupl4LnbswMzKd3e4CCbf1vpZxKaOpcdbyfcEv3sVurcW5nacyNedkJv9zPnY1+ALrXHMaWsFgjMNfxRCvZ9h9KXcdWa7AC8qC2kO4v/hRnj1NpdcCffW+ipEf0t/nyJSFnD7nWGyalVuSZzAmZiFRJ88GSxKVeYv5YPNBnDAigc4pgblYq+pcmE0SkWZDWO8HwIyiJ5iRevM+vQ+2SiPGCA1TZPPzE4diUs/DGFxbykUVUXSuCX3z0RzKt0WGDSnYG2xaTyL7HoK2YRbhQiiaS+VOC3E5e+9VBbBFTSBy/I2UvnKad5V6m6DneRhG34vBGJwXGMBms3lTZ7UkPaHmsuF6v4d32zBtG3Wfno7FvvefEWnEAxj7XxC0v377epx71hI9YBRSTOgy3vsL56fDGhWXDdNXGSbOwpDjC4FyvrN345N6TAXJiLbZV7xUGng1uGxo69wxl9E5GPpdiKH/pbgW3Yu27k0M419C/SN8ukQpeyLGI1qeqkpzVOP60O1NjOuBadI8v2O14Kz2iV9AK9+ES/Fl+DGeuhgpqnnrRvQ+a1BXPY+hywlIyaHzege0L1mFa7Y+Y2gYfjdS1qFgjkGK6RRgA80Uh9TleNjyEZoKmgYGIxgOfhJDrzOafJ6G9jSe/BtSfM8wrfcdzWVHXfkszrRDWZYHQ7uYiUjqjmQJXeHzQBPq81xsjCDFvR7BOG0rUpjflv2I8AAL9j82V3CM2Lzivzk2/Yiw4hfwil/QF9KV2ys4uxk5a12bj8bY88cm2+0LqyrWMjXnZKxSFHa/YoNaVSZqaU+0Av3HVSvrBm4B3FD8AoyO+hPQ6BLr82AZcHFcwRlQAB8cWsKUeRdzWPQvoOGNS4sGLhv1EIaU4KnEWL8iCuHEL7DP4nf521n0fvIF1t10NVkjK9A0CUusM0CAlmyyktyrji0/JKG6JLJHVYaejtY07stfFby/BWyek0xtRSJ5f1ZjTbFTWxRB/9MKMIWYFm8uFmkz2gZPLHOI6fWKRKI6JXoXnwAUbelKao9tAe32rIghdupbrH/0KsxRLqSEHpgiapASBxKZBHHDh2Ms+wPLxIfBYMZZlIf0i68ss9r3BswDziDa7REyRrSew0E7/GtMOUOhYjOun6dh6HsBhoF7l0u6KSSjBeMxX+iiZdQDSEYT0Wd8TuWShVR/fSNpPUPnzAawWQ/FUvd7YH99L8TQN/RCo8gufaFL6Knd/Y3xmM9xfRUmS03qSAw9TkXqehKS0dJkaAWA4aiPUH8KFlrGyQu8syaG8S9i6HayfmDsE3ospubyrtLXBk9HK16JlDHW68E3jrwPRurhWlLXk9DWvIzTEMWyip4Mq3wBqUAv8GAY/VCL3wMAyeyXQ7uBZ1QyR0GD8CMpoRemc3eirnoBzWVrkfjV+4zGOKyJNQz+7ZMHYTzlT4iIa1QcGofegKHfxdSv/RSTxeVTUpGNe1U92A19iFB91WgOpPgFt+d16C04bTbIWwZJA5FaKW8+AKZocAZqgRR/3WA4cKW99wdCAAvCYtdCL5J4ctOLze5DReWPkn+abgioO8ajlXXHOPgdpIh9yKXYCAZHPIW2YipcgdOx6q6RqPkjObPLAo6fOJrrF0Y1WYv7uxti0PasD3ksMncWn1xzk15MuwHqwjshvqfXk6EumoG25WMMw+5EGnA5rnc77c1LC2LNJ2l0m1iGZNQCKlh1u/N+4oaPIufK6ex86Vmyzr8UdbMvJKGuzETCVb9jTM+g99kaeS88za6/3vUmmvcnWnUF7Wspvd9ZiCSZ2PrAnUSkZ5I1eixrb7sCc5QLW4WZpF61JHavpTzXSuaISlw2A8YIFVNksJgsWhNN6oDwN2cAHP0zcRm6YMp99B5KftBDRkb8Oh+tJj8gS0D6bb9gTs1GvfFZIrNzsHbrEaJDX/ojY0Yf/H3qpm4TAqZDpewjAL9cmaOewGA2e72Gxkm/Y//nSYx7Wha/2BDDkJtQt30DBivVa9fitBlIyhysT1En9MZ06qJ96r85SOmjMKa/F7AvbvgoYof9ztqLp9HnMJ/ILbRfQ1rkK6A6iDrlTZyVVRS+dTdpA6sxZg7HMHh/pRHcN6S4bjitAzHWrcV4+JtgMKL+ci6kj8F4uB77KBl1QRJK/BpGzEBdPEPfSBmKIXMc0jl5SJKEuuYV1CUPYhj/AlJMNsZJfwBaUFymJEkg+S7dUkQ8Ulb41JGSJCENvBLNZkNbtgx1wiwi1CowmJAsCXv9XhjGPoW6/AmMBzc/3MQwqPGFbfsTKTb04jHD0NtQlz2qt0nVp/5drghM+BYfSmnNyxSiRvWAarcA7nziPoy2fWIYcTfqP6ErG9owEN3Gs0AIASwISWOhMSX2wLRDrvUyxr6hL9jLy1fTNzawSoxrw0kY+3zj3VYrs7ksr4CY5Pt4suRutKpspAaV1kKh5g8LyNbQHMrq69hcHex90mzxjLb+ydna7fALDIq9loWqi4PqysP2pX0WOsOEh+hvwh9Xfzo9eN/Sh2Dz3oeIFKyKIbF7LRHRKuu/SsVRY2LjN6kgaQw5X1/gsmfLIHLO1bM1ZJx2FhmnnQVA2RNPefupT7+G2IxMfUOS6HztTZT07Q97gmM9U5yB0/m1xWbsNUYS/OJVK3ZYiO/sCyEoWBWDKdKFo9bInqWxjDhXFww9ZjzqbTPsRz1Gu2z+b1i7dqfkpzkYIstZ8/EnoEl0OSmZhMjA7AP6gIYDvwfvd1PmmkZqhs9b2Hn6HSQedhSxQ/ULoRSdhTT+JbQ/rsSudSYqVY8lTBwXXKQiFAajMUAAS8mBK+Ljz34F2z+vY+51KMaICKR4XVBLWRPAXoEU152II59D/bUKJDOGgx/F9anf5yhpEJTqHnfD0FuRep4Jqh1nyQ6k3/TFOZ7pZcNB0/XtzsswWyIxmNrGz70kSfR5+iUKZj6EtFMh7uzXyRp8KFrxMbrHzmTFnGQl+6aWZa/4t7BM/gocdUiRumdROmtT2NRRDTH0vxhtz59gjMRwqJ5lwSOUDQMu96XGQhfbBwrJmrLPfRh6no6hZ/DvWFtH6ncRUn0JUspQpBR9DYOGFfwEME2k4PQQ2XMoLNdvaA3JA/b3UNs8ht5nhxXAdoORvUtQ+u/RNn4RBW2OnXXNT46vFg1A3T0MNAOGzvMxdP/FmzP3r9JFVDeYItEcgdNjpiXncUKnY8AC31RNgZpaChPsVBojgopQ+ONaPxnX+sne5NtqSS+0su4QWYYxZ2HIc+xanTf3r6YavePU6pK4Jdnnnbip6nl+JoMjq4JzedYUmolOa0b+1BAxxk1SuSXsoboyU4AnF2DPshgyhlaT+2siFdusFCyPwRSlYq80kXXBZUhmE6U/zaFkYwWRCQ4iRweLWIBa62RimUV9hRGpV5+g47HDR7H+4lS6H13C1h+TSTnKRkpMJSdU5Ae02/57ArYKMyn9asgZU8Gm2ck4bQbiO+uL9FZ/mB6c3L8REsdNACD7gkvRNA1r1+6Y4uMxbPGlaNq9ZShqeR6RsTVYJp4HO30CeNuvicRk2kjpW4u9xkDCGbcG9G+MjCTh4EDvmbGbjNblOKL2cvrOEXck5sqfqev1MrEN+jAYDFjHXhZ0jmRNAbcokQzmgIU9xmlbwFGNFKnnf9bqCkF1BniWzdFZcO5ONNUZlMA+9qChe/U6POP1/O1PTPEJZF/3BODzHkopQ/brcxwoJGMk+KV6bK749eBZUPdvc6Bs2d6QTFaMI+8N2KcRBfgWpjY3f60hNtN3wxuVuX8G2JznbUO2NAy+AXXF00H7NbXty8u2P0JBq/DUpuAckM41p2Ea8GlwY4cVT1UydcehqDsOxZDzN8bes4EQGR80CVfeGIyd/mFgbRmD4nzTpAdHz2eK/QMqt5s4t/shOJddhHnsUzSG4/c7kKIL0Sq6+na6LBi7/IFrw0kQsxtjtu5RLFX38PY2t5fVHgORFUwt3c5hqbcTqQV6M0OJXwBblSlIAOcvjt3rXKWN4anWFRHrAglfeVqgaG00e5bHUbAqFlN8Cr2fvI/cR+/HXlxI1vmXknXuRQCkTTqN+h3bUOvqSR40OOTzVG0uYfcKXVD1mBGcqzIiOYXY8VPJzy+l/8cPseXZsaTEVHJ0pX6jVLInlt2/ReGsMxKRnkHO0x9T/tsvdH9uGLWbNrBixi1E9R3EQV+9BJLE0mN00dnl+tDeg1BIkkTaJN3LWbbhGXCvrUi95EUMFgvO8nKs3Xuy7swUOo8rp2BlDJYRF2IddTC7lywkfsxYohKbF9sn7UPsmnXSTADCr7luGZLRAkZfnJ//4qKgtob9+5NuNpsZMWJEm7jQCvYNYcvwVO+sxdpbf6wamr+gTEr08/qqoUMGDwRtypZxocLCIM7fo95GEQJYEISmaWyuCREmUNIL14YTMfbRq8Fo9igG7UokNmouv9cGll5Ud472CmB/su21ZDpq+Tv3CDpHbuTBinkQv9J7fHLaL1AHcZ40Z/UJAed7RLhz/cl+O6MCxS8asbmjqNhyFLow19AqOmPq/wW1UhmeW3atohNSZAVnlW5r3hsDFK6Oxhjhm+TWVNg4OwVnrZH0wdWgBS908iwoa4y6EhPW5HBJ9yXsVSYko+958/6Mp2RjNANnfUrV8iUkHX08xshI+r30FpVLFpJ0xDHetkZrFNF9+ofq2Evnq65n7aXn6BuG0N6PLjf4FqE4awO9uNW7I0ifdg2Z08737ks5Vo+Js2RkMWDmZ0SkZ2CI0IVc7ydfoHbLJlJOCp2SqCkMPadA/krKciNJzdHzjkak6mmJuj+tULViKd2vlr116ONHjtmr5xHQNi6ygv2CsGVoLP2PA6c7tV9M80NPpIReENMZaguQco5q+oT9SFuxpdTlRPjjqtYexl4hBLAgiN/di9ZMmsrNe9ayPSKaJVFJ7FDtVO4aA+ZaiKhB3XgiD3Y+FFLgePNyotL6UZZ0JPfOtgAGtJoUpOhib7/m2lhezJ8HcYu4tPp9Rm5Pg4TA55bqfe3Vwj4cMTDGG9Gp2aPRCgbjKO4DrkhenDCPxcvX8Hb5FfhnQjkjbhbnJLzJE8V382ftYTiwQE160Os8tHo3Y0tqvZ7Exlj1QToRMS7qSs30Ot43xm2/JlJXrHew4atUkPQyo/0m+/Ly1peZqS1yYrKqVOyIxGhWKd4QTe8Tff1s+SmZ7FEVxGTYcdQZiHKL4eFzF1D01WfseP4J4kYdCnyivxeaRK8n/kdk5y5EdvYt9ohITfMKz5YQ1asPGWedT/Xq5cSPHttke60uUABL9c4A8duQyE6BC1Liho8ibvjel6SNO+JCKuenkXDSwcHPldOZyJzOIc4SCASCYOInnor2oy6ADZUtW1diPGU+uGwtDoXpKPjnDm9vCAEsCCJC0qd/R1cXM7qmhNE1JUwt20F99lSm5P2Ium0ifSLW0CfWVwp3kONr2PU17HqU2bdu5o05uyjYmsGygYU4JQOOBVfT01EEGbr3+LqUJ6lwhpgk1nxZBQZs6sehJxj4fclxaF1+wbjiDO5IvZUldWNYb+tP16130TUO0gacwPryVC5JepGiTpeRNl+vjnNzygPczAO8XDqdb52Bi5gkTeMm7YuQ4nf525nEn2imW+oOAGqKzLhsRupsRiSzmcLt/emWtgIAe7X+FYpIz8Re4Iub3vlPHDlj9BRpdSVmitZGIxlAcwV7Vzd+k4Kzzsj2efr0vGTUSB9URfQR15AoSaSdchppp5xG7ZZNFL0+m9gsGxk3vEtU372P7QxFziXNT4kV1WswsMO7HTdsnPexqqrk5ubSrVu3A+alkCSJ+PEnNd1QsE/8G7YU/DsIW4bHEJOF58rTUk+uJBngXxa/wpb7ByGABcEU98O1ayQDHT8E7I6U6rgq8UkiJBtHxjRSbezDnlwY3xeDdT0frD+R9ysuhNpUEq2+fIkDIpY16Xl9JP16tBVxPOdI5ePFZzLA8gWjrX8x2vpXQLtD887mUIAqSNsenI3iiqRnOSW7iIzN85jW7RBqjCZSG2QvCETCUWGAVH3L6eft1JxOKlYXsccUg2TSqCs1kX3RFVQs+scrgA3WKIrXQdWuSEyRLmoK9Wl/rUHGsC0/JmGyqtQWB74Rmksi+fo5QV5Ta9fu7OQ4qvKhV+/Qsbz/FiZz4M2LMcGX19PhcFBUVEROTk6LiicI2h7Clh0HYcvwSDHZSJ2OQcv7AUML0rq1Fm3NloYxj6Fu/QIK977QTWsgBLAgiJhIA2w4keM6Pxl07PjYEIltQ2Co0PPjHmv4i/drb+XyxGc4KfaLFo9FclTSxVTJLSkPtvhcfzJ26dNbb2z7mzN7jGdyWV7IdtvmJQAQU+7LeeuoM5BywiSKZ39FxlnnUf7n7+xZrhdQiBsxmoxp5+OsrKB6pV6q05ycjG1nLbZKE7ZKE/FjDqHinz8B6HbHfdiLC4lISSf3Yb2satb5lxJ/8DjWXaYn+h/63W8YrcEL0SSjkd6PPrtP78P+IjIyDvyLo1malzZIIBAI2iLGw99s7SG0Wwy9p2HoPS2wyl47KDIsBLAgiEFdrNxzvBNCpFltKUnGUg62/r5X4vdAYNVUJE3j2MrgNG8VOyIp36pPZbnsvmklZ52BnNuvJXHCEXoi/4OGsunW6wDIuvByJEki+6LLwWAgfvRYtj/5cEC/rtoa+jz/OjXrVpN05LHeFDsRaWlUrVhGxlnnYTCZGPr97xgiIrwLt9oyhsikAAEsWRNabSwCgUAgaH2Mxym4vpf1Da1tF8EAIYAFYRhZeOd+6+vmft9DcdPtqvdEUJVvoa7UTPcjS5s+YS/YHhFFnCs4P+/OBXEUr40h5cRTSD7iGApfvsh7TFWjMMXEED9CL00aM9BXiz6qp547x2CJpNPl1wIQP+YQCr/42NsmacKRxA4aTGyDFGSxg4cRO9hX5MAYGUl7QYpKwb9UniGydWrRCwQCgaBtIKX6rmftwAEsBLAgGE11hYzl2b19PJld/gjav/33BLocWg7Ajj8SSB5oIjrRp3gtxfMD2turjdSXm4jL8bkQq3ZFsOVHvRBATIaN5rDqg3Ri0u10O6Ks6cZuXBgYURtc0tdercf5Gq1WYocMo7rXQOBXAOJGBWZFMEZFM+LX0IU2ALIvvpLInE5E9xuIvWAPCeMObfb42gtSVEqDbZ8AbktJ2gX7hrBlx0HYsuPQPmzZlsemIwSwIJiK0GWIC+ZuIfEUE5EJeoquXYviMFlUyrZaKdti1TORaRKlm8GanEIfObTbN39JLEaT5hXAm39IorbQtxCspigCW5URe6WRvL8S6H9aYVAf9hoDLpuRih1WXI5yjGaN9V+m4qg1ommQPaqS5N61Qed1t1dzTeFGAKpLLRhUFZNFpTpfX0hg7aGXbXY5/EIgYkc39Y4FYLRaSTtlKgDRfRvPv9teMUTHN9j2CeI2laRdsE8IW3YchC07Du3BlpKx7cvLtj9Cwb+OlvdD0D6nTY/n8S8CUbQ6Gv/8u/5zHnUl4VM8uGwGynMtSEaN6t0W6ssDq25pLol1n6e5+5MoXh9FSl9dzG78JoWoNDvF63xVxjd8lYrRogb0k/dnApU7LdirTNgqjaT0qwmq1GYvNbBjfhKSAdImT8MYF0fyUccBsOfHtaiDYqktjiDptNZfZdvWMEYGpv0xRgVmhWjLP8yCliFs2XEQtuw4tHVbSqa9r6b5byEEsCCYiDjvw7oyExXbIinbqmclKNtqJW1gjfuoT/xGpKVjLywI6MZeYyAiWhfMK97JILF7HdYkJ1W7LIBE8bqYgPZ9nn+NDddeqm/4BdDnL4qjuiCCqp2RuOyGoLRh9moTVAe/jIrtPpFWujkqSAA7ao2gSWguSBh7KLFDfPFLlqxOFK7aCUBW1+7Bnf/HMVitDbbbT/yyQCAQCA40bVugQ3sYoeDfx+wTptvnJbJneRy2Sv1eqWhtNC6HRMlGvzRdBgMHffwNw3/5h9RJp3l3F6yIRVNh95JYNJeB0k3R7FoQT9db7w14uh4PPE6fl96mMCqWYb/8Q+JhRwQcV50GyrdGBWRmAMi64DJ6Pf58wL7sS0KXZFQdwStSnTZff/7V1AB6PvK093HskOEh+/wv45+mzeWQMPh5hFVVZcuWLaiqGupUQTtC2LLjIGzZcWjTtjToDiopZf8WajoQCAEsCCbnGJw2M5U7LdSXBU5jOGpMrP4wg7w/fTGgA2fqGQ8kg4Eu191MwvjDASjZEM2KdzIpWBk4PW5OSqb73Xpe3+yLriBx3AQiuvekqKgIh8OBOSnJ2zb70qtDDjFh7KFknXsR8SPHeAVqr8efJ/Os8xj63Ty63HgHAMnHnECqPAXJEotLC/y4qw6JAW9/RN+X3saclBxwzNq5KwPf+4Kh3/3mTVsm8GGIimLbr4nUlpjZqKQGCGBPknaHIzjbhqB9IWzZcRC27Di0ZVsaT/gOqc/5GMY909pDaRIRAiEIovyvBWz9MCUoj8mQb36h+DuFnS8/hykxiVR5MubEpKCKZV1vuoPiQYPZPet1XDU1NEQymUiaeDSxQ4ZhSkwOOp5x5nnY9uwm7ZSpxI8cQ/nvv1Kzfg0A/V6eSe3G9cSN8C1M6/30S2guFwaT/nE2Wq2knjiJ5GNP9O7LOONs1G8PxugXzhs5bjrWRsIbIrNzwh77r2O0Winfpv8BGMxtP95LIBAIBAcWKbEvxtH7Vrjq30IIYEEQrtpabwyutXtP6rZuRoqwYIqJJWPqNGIGHoQlKwdzQujcr6a4eDJOO4uyuT95hStA15vvonbzBq/H1pyUEvL8iNQ0ej3sC0Ho9/LbqE4nkqSvLG2YWUGSJCRT8EfZ4LfPlJCEZvFNFy2fmUnn6UlB5wiah/8KX2v3nq04EoFAIBAIWo4QwIIgTHG+RXDdbp9B3batJB1+lHdfTP9BzeondthIrwDudtcDJB9xzF6PyRBC4LYEo9WK03+HJrWLNC3tgZiBg5tuJBAIBAJBG0IoAEEQEWnp3sfWHr281c5aSta5FyIZDSSMm0B0776Ntv23E3vHHDSEpIlH/yvP1dExRkcHbLePJO2C5iBs2XEQtuw4CFvuHyRNaw8F6wSyLEfjTvb1ySefEHmAy+YWfv0ZluxO3vK//waqqh7QL/TmCwfS5dByNiipDPxi2QF7nv8KeS89S+ncH+n/2rtBiwgPtC0F/x7Clh0HYcuOg7Cll71epS48wIKQpJ186r/+nAf6y2wzDmHFrI0H9Dn+S3S6cjo5V1wXMkuG+GHuOAhbdhyELTsOwpb7jhDAgv8Mff/3BuV/ziNu6IjWHkqHQaSIEwgEAkF7RNxCCNoE/0Zib2NkJMlHHBM0XS/Yv7TpJO2CFiFs2XEQtuw4CFvuH4QAFrQJ2nJib0HLELbsOAhbdhyELTsOwpb7ByGABQKBQCAQCAT/KYQAFggEAoFAIBD8pxACWCAQCAQCgUDwn0IIYEGbQCT27jgIW3YchC07DsKWHQdhy/2DKITRTvi3C2G0BiKxd8dB2LLjIGzZcRC27DgIW3oRhTAE7ZurrroKgBdffLGVRyLYV4QtOw7Clh0HYcuOg7Dl/kHcPggEAoFAIBAI/lMIASxoM9jtdpHYu4MgbNlxELbsOAhbdhyELfcdIYAFbQJN03C5XCKxdwdA2LLjIGzZcRC27DgIW+4fhAAWCAQCgUAgEPynEIvg2iH19fWtPYT9jqqqaJpGfX09IjNJ+0bYsuMgbNlxELbsOAhb+pg6dWo0UKsoSovfCJEGrZ0gy3IqUNja4xAIBAKBQCBoQ8QoilLT0pNECIRAIBAIBAKB4D+FCIFoPxQDae7Hta05EIFAIBAIBII2wl5pIhECIRAIBAKBQCD4TyFCIAQCgUAgEAgE/ymEABYIBAKBQCAQ/KcQAlggEAgEAoFA8J9CCGCBQCAQCAQCwX8KkQVC4EWW5a5AbjObn6YoymeN9DUEuBY4HMgEKoFVwCzg3eYkrZZluTswHTgOyAbqgA3Ah8AriqI0WQdSluU04HpABroALmAL8DnwnKIo1U310VGQZXkEcAEwEf39NAB7gLXAPOB1RVEqw5zbJmwhy3IMcB0wBegBGIHtgAI8oyhKh8uVLcvyb8BhLTlHURQpTF9twgayLJuBy4EzgT6AFdgFfA88qyjK1qb6aO+438dLgJOBAUACUA/sAOYDrymKsqSJPsT3spWRZTkOuALdjn2BaKAA3YavKooyrxl9CDu2AiILhMDL/hLAsixfCTwLmMOc+zNwsqIoYVOXyLJ8CvAu+o9JKJYDxzT2hZRleSzwFZAapkkucKyiKBvD9dERkGXZBDyPLjhCCiM3QxVFWR7i/DZhC1mWewNzgG5hmhQBkxRF+StcH+2RvRDAKxVFGRyinzZhA/eF+gdgSJgmNcDZiqJ8Fa6P9o4sy4OA2UCnRpppwKOKotwRpg/xvWxlZFkejv7+5TTS7GlFUW5spA9hx1ZChEAIwnE5ENvI35ehTpJl+QTgBXTxuxn9rjgd6IcuwgCOBN4O98SyLA8DPkD/QSgEzgay0O9I7wGc6BfPr2VZDvkZlmW5E/pdayr6BfVq9ItNJ/fjGvQv+nfuu94Oifv9+RjdQyG5Hx+N7mVIAYYCNwBL0S+4Dc9vE7aQZTkW3TvYzf2c97jHkOUeU6G7f8X9fB2J42j8uxiLPtviIei71VZs4P6MfI1P/D6P/tuQjv5bsRn9s/ah+7PX4XC/vx7x6wL+B4xEz/PeF7gU2In+fb1dluULQvQhvpetjPv1fI8ufl3Ag+if5WRgNOBxEN0gy/LtYfoQdmxFRAiEIBy2loYHuD2Nz6L/cJcAhyqKstt9uBC4TpblGuB2YKosyy+FmR56GogE7MCRiqKs8jv2gCzLBcCrwBjgXGBmiD4eQP8hApisKMqPfsdelGV5M/rdbg/gJmBGS15rO+IaYLL78YWKojQURyXoHoZnwpzfVmxxI9Dd/fhKRVFe9zv2vizLK4HF7ud5ADg/zOtpdyiKUtdUG1mWz3A/dADvh2jSVmxwLvpnBeBhRVHu9DumyLK8CFgNJAFPoYdQdTROx+f5vUtRlEf9jhUBG2RZnod+UxqNfnPT8Hsrvpetz334PK6XNPhtXQicJsvyLPT3/x5Zlt9TFCWvQR/Cjq2I8AAL9ifHAz3dj5/0E7/+PACUux9f2/CgLMsH4ZvufbvBDwIAiqK8hh4fBbrAa9hHEjDNvflDgx8ETx8/AJ79V4S7u27PuGPTHnRvvhNC/DZ1fpuwhSzLRuBK9+aGBj/Onj5W4bs4TJNlObGRl9ahkGW5FzDWvfmtoihFDY63JRt4vvPl+D6b/n3sBp50b05whwp0NIb6PZ4VqoF7qtoz1dzX/5j4XrY+sixHAFPdm+sa+W29HVDRRe7lDfoQdmxlOtxFX9CqnOz3+KNQDdzeLMW9eawsy5aW9uHmY/f/YSGmZE7AN7vRWB+eY2nAIY20a69MAzxTXk/txfltxRZj8XlamtOHCTixkXYdDf8p8lAX4jZhA1mWO+MTf1834tn2739SI8/VXqn3e6w20s5zrGHsp/hetj698MXs/hqukaIo+YAn7nZKg8PCjq2MEMCCRnHf6TaXEe7/uxVF2dZIO49nIwo9ZipUHyqwoBl9AAwP00fDdi3poyNwgvv/bkVRVnp2yrIsucNVmqKt2KK5ffyDTzR0RHsG4fbmnOve3IMex9eQtmID/+2wfSiKkov+WkL10RHwz+xwZqgGsix3wefV/67BYfG9bH0S/B6XNdG2xP2/j3tWzoOwYysjBLAgHLfLslwK2GRZdsiyvFmW5TdkPb1ZELIsS0Bv9+aWJvr2T3HUUAB7pvvym4h9bE4fKo1ntcjFt/CrYR8dgZHu/2sAZFm+QJblBegpdhyyLBfKsvypewVxKNqKLfyngMN+ttxj9AinjmjPUByFvqAR9PSCzhBt2ooNmtWHG89nqiPa8RP0lJAAj8my/IAsy71lWbbKspwly/Lp6JlyYoF1wN0Nzhffy9bHP11kU+EASX6P/V+/sGMrIwSwIBy98X2xTegB9BcBS2VZfsQteP2JRY9zAj0HYmP4H09pcCw1RJu97aOssfyJiqLY8cUjN+yjXSPLciT6dBdAhSzLnwJvAaMAT9hJKnAq8KcsyzNCdNNWbOGf2qe5Y+lQ9myEpsIfoO3YQNgRUBTFBRwB/AREAHehx3nWoudC/gh9duxhYLSiKMUNuhDfy9ZnE2BzP54QrpEsy5noea49pIZ4LOzYSggBLPBHRfc8XIKeeiUFXdT2Qk/SXYie4eE2gleS+qdXqadx/O92G6Zl8Wz/G33499PRUqEl+D0+CV3oLkRfVR+FfnNzJvoFF+BeWZbPb9BHW7HF3ny2Opo9g3AvRJnk3lygKMq6ME3big2EHd24FypOA94I0yQByADiQxwT38tWRlGUenyhKf1lWT43TNOHCNRZsX6PhR1bGZEGTeBFUZQd6FOqDdkMPCfL8ifAn+i5Am+XZXlWmIpNTVVXaU71lX+jj+a2aY/4/+hGoKeWmuA31VYHfCTL8hJgGfqCjodlWf7A7S3wpy3ZYn+MpaNwJj5vfnMyfLQlG/yn7SjL8lno4teCnjpyFnrFrTj0POn3AxcCR8uyfJSiKOtDdCO+l63LPcCx6FUM35RluQd6CsIi9GxIN6KnvKtzt4HQix6FHVsJ4QEWNBt3iiJPGiMzvjQwAP45g600jv/xhrmGq0O0OVB9+LfpaCWRqxpsPxgqzkxRlE340ttkAgf7HW4rttibz1ZHs2coznf/r6Px1dttxQbCjoAsy5PRhZIVuEJRlOsVRVmuKEqZoijbFUV5Ez3vawl6kYWGqdLE97INoCjKauA09NdkQhfEG4BS9Nm204EVwCN+p/kvmBN2bGWEABa0lDn4pkn8KzVV44uJSqNx0v0elzQ45ol32x99JMqyHK4csyfDhSfOuWEf7Z1qAqezGqtH/7vfY/+8q23FFv4xkM0dS0ezZwCyLA/At8jxC0VRKhpp3lZsIOyoc5/7fy4QlHMVwF0w4QX35ihZlgf6HRbfyzaCoiiz0ReEPYW+2LgGPZZ7BXALekU4f/wLYQg7tjJCAAtahHuVeal7M8Fvv4ov32GPJrrp7ve4YdyiZ6ovy72Qa1/6MABdG+mjK3pMc6g+2jWKomj43gdoPFVPqd9j/zQ9bcUW/q8j7GdLlmUruhc7VB8djeYsfvPQVmzQrD7ceD5THcqOsiwnAB4xu9j9PQ3HIr/HA/wei+9lG0JRlJ2KotykKMpARVFiFEWJVhRliKIoTyiKYsNnuwoC3zNhx1ZGCGBBi3DfSXrKLjYUVf9v7/5CraiiOI5/w/7oQw9hpJT2TzJ6KpMwMiS1sEJWBoGXKKE/oEUkRfZiBT1I9JL2hxKph5QMQuq2SjSSEsmHROyCD5ElcSkK1EKojMq0h7XnztzxzNx76eHMOfP7vNwZz5l19WznzJo9e6+9P/28OBW9r5KV3TrBmSdSFmMSUbFgrBgwuq5mMQaMfqRfF2N/5bt6177C9tTKd42e0Xu8sN2UthhvjHnk32n92J7AyJLj96XdYeCzMQ5pShuMK4aZXU5+oe23diw+Yp7IeMvi2FGdlz0inauL0+7O0g2P2rHLlADLRN1JPvHmQOm1wcJ2VYH3KYCl3Z1pNu2EYiTZ+OMDafJe0cdAVg+1Lsby9PMo9QXAe9X7he2FNe+7pbBdbNPBwnY322Iv+WO6gXHEOAlsr3lfr7uD/FHk22P0IkJD2iD93/gq7S6r6fVaXtgerPldvegYkE0ynduhnGTRDYXt4cL2YGFb52WzrSDvYHi99NpgYVvt2AVKgGVEh2UWy69fCrycdv8mX6Ixs4O8kPZTZjaNM60lH4v0WvnFtGJZNib1gTTWsfz3eJi8EHenGL8CW9PuEjO7tUOM24gZvABvpNqc/WYXUf0B4FkzO7/8hvT5ZiV8vqPw2LUpbZH2s4vHNWb2UMW/IxsWsDX93n6V/TtPk09grNSwNng1/byA+C4ox5gOrEm7e9z9YPk9vSzVat2ddmcRlR7OYGaXAI+l3SMUev50XvYGM5tDvgT9NncvzrVQOzbAWadP91VVC/kfzOwY8AXwIfGF+zNxtzeT6PldQ76qzTPuvq5DjKWAE+ONviVKwXxJXPBWEfWEAd5z9+Xl41OM64m70slE4e0nice8U4B7iRrEZxNLM85P44/LMWYSvU1TiQlhTwMfZS8DLxK1DA8Dc9y9XDWhL5jZAiIRPoeYmLGWGBpxLvGl+AJRCP0UsNTdd5SOb0RbpOR9iBgPdzL93neIiX6LgJeIXtFfUowfyjH6gZldCPxEtOfn7r5onMc1og3MbBLxHXNj+qMNwEZiONU8ImG4KsWc7+7lp0w9L628uId49P0v0amwmbwM2mKiDNqMdMgj7r6xFEPnZQOY2UGiJ3c7sWLbKWK87T3AaqJ9vgYWdFjQRO3YZUqAZYSZHadz4fWif4DnOyW/hTiPEhe2qlmpu4C73P1ETYy7gS1EfdpOhoAl7n6kJsZNRDJftWrN98Dt7n6o4vW+YGYDwFvEAhid/AWsdPdyuaXs+Ea0hZnNJqqQXFHxlqPAMnfvx+EsAJjZauLcAljh7lsmcGwj2sDMLgI+IRbb6eQP4H53/6AqRq9LdYA3UX1OQSRT69z9uYoYOi+7zMx+p74NdwMD7l65wprasXuUAMuIdCLeTAzIn0HcUU4mZq8eIk7mN929bs3xLNZ1xB3wQmJFo9+Ag0RNy83jGLeImV0JPEH0VM4g6p1+A7xLPMqpXPqxEGMa0etswGXEReUwsA14pV97fsvSZ7ma/LOE6HH6FNgwVps2pS1ST8XjRA/LLGIY1zDx1GF93UWiH5jZEHAtcT5Nr7uJrDi+EW2QJtOuIsYtXk30eP1IXIDXVyyw01dSz91KYuGL2UTv75/EZ7kH2OTuQ2PE0HnZRWb2ILF41Fyih/Q8oid3HzFUYFw3cWrH7lACLCIiIiKtoklwIiIiItIqSoBFREREpFWUAIuIiIhIqygBFhEREZFWUQIsIiIiIq2iBFhEREREWkUJsIiIiIi0ihJgEREREWkVJcAiIiIi0ipKgEVERESkVZQAi4iIiEirKAEWERERkVZRAiwiIiIiraIEWERERERaRQmwiIiIiLSKEmARERERaRUlwCIiIiLSKkqARURERKRVlACLiIiISKsoARYRERGRVvkP35Qm7g6KpwwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in binID_flag3:\n",
    "    plt.plot(WL0[1:-1],# first and last bin sometimes ugly so i crop it for the plot\n",
    "             spectra[i,:][1:-1], # fluxes pre normalisation so they're not fully on top of each other\n",
    "             label=f'bin ID: {i}',\n",
    "             lw=1,\n",
    "            ) \n",
    "    \n",
    "plt.legend(ncol=3, fontsize=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's nice but there are 6 binsa nd 6 spectra, which belongs to where? You can sort of figure it out from the bin number but it's a weird tranformation of a 2D grid into a 1D grid in your head not really remembering where voronoi bin 0 is (top? bottom? righ? left?)\n",
    "\n",
    "Instead let's mark them on our maps!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, figsize=(4,4))\n",
    "chi2_cb = plot_voronoi(x, y, chi2.values.T[0][binNum], pixelsize=1, ax=ax, \n",
    "                        cmap='Greys', alpha=0.6)\n",
    "\n",
    "for i in binID_flag3:\n",
    "    _mask_i = np.isin(binNum, i)\n",
    "    ax.scatter(x[_mask_i], y[_mask_i],  marker='s', s=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is no surprise that the super noise spectra belong to the voronoi bins on the edger of the image. The other 4 in the galactic center need zooming in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000.0, 9300.0)"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in binID_flag3:\n",
    "    plt.plot(WL0[1:-1],# first and last bin sometimes ugly so i crop it for the plot\n",
    "             spectra[i,:][1:-1], # fluxes pre normalisation so they're not fully on top of each other\n",
    "             label=f'bin ID: {i}',\n",
    "             lw=1, alpha=0.5,\n",
    "            ) \n",
    "    \n",
    "plt.legend(ncol=3, fontsize=8)\n",
    "plt.ylim(1000,4000)\n",
    "plt.xlim(5000,9300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There seems to be som emission lines that will affect the chi2 and also the spectra are a lot less noisy indeed. One final point we won't talk about too much here (but you can check the Supplementary information of Stevance et al. 2023 for a discussion) is that these spectra are clearly reddenned and it's possible our approach of ignoring reddening and hoping the 2nd order polynomial will do the job may have hit its limits. \n",
    "\n",
    "With SED fitting there are plenty of little thigns like that you can iterate on to get the best it and in truth you could spend a whole PhD or postdoc refining things. But at the end of the day *the* solution for our star formation history is impossible to find, we can only hope to get estimates. So as you iterate and do further test consistently check in and ask yourself: is this going to improve my understanding of this galaxy? Is this going to help answer my science question? \n",
    "\n",
    "Okay let's get back to more practical matters...\n",
    "\n",
    "### 2.2 - Kinematics\n",
    "The main thing that `ppxf` was designed for originally was extracting the kinematic behaviour of our spatially resolved galaxies. Here is a quick way to plot the dynamical information that is stored in our `DYNAMICS` table (which we called `dyn` earlier). **NOTE:** we are handling the \"bad\" data in a quick and dirty way below by inputing it with the mean of the LOSV and dispersion velocity (if the values in a given bin are stupid high or stupid low and ruin our colour bar). You can do a more thorough job by refitting those bins or jsut flagging them as discrepant (like we had with our flags earlier). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "def quick_plot_dynamics(los_vel,     # line of sight velocity\n",
    "                        disp_vel,    # dispersion velocity\n",
    "                        yeet=None    # the bins to ignore (e.g. if you want to not plot the point sources)\n",
    "                       ): \n",
    "    \n",
    "    disp_vel=np.concatenate([disp_vel, np.array([disp_vel.mean()])])\n",
    "    los_vel=np.concatenate([los_vel, np.array([np.nanmean(los_vel)])])\n",
    "\n",
    "    \n",
    "\n",
    "    # \"fixing\" the LOSV that are too low or high so the colorbar range isn't ruined\n",
    "    \n",
    "    # if LOSV <2700 km/s in that bin, use the recessional_vel value, otherwise keep it as is in the array\n",
    "    los_vel_fix = np.where(los_vel<2700, recessional_vel, los_vel)\n",
    "    # if LOSV >3000 km/s in that bin, use the recessional_vel value, otherwise keep it as is \n",
    "    # (in our new fixed array that has had its lwo values laready \"fixed\")\n",
    "    los_vel_fix = np.where(los_vel_fix>3000, recessional_vel, los_vel_fix)\n",
    "    \n",
    "    # same idea for the dispersion - we inpute with the median deispersion of the whole sample\n",
    "    disp_vel_fix = np.where(disp_vel>210,  np.median(disp_vel), disp_vel,)\n",
    "    disp_vel_fix = np.where(disp_vel_fix<120, np.median(disp_vel_fix),  disp_vel_fix)\n",
    "    \n",
    "    try:\n",
    "        for i in yeet: # if we want to ignore (i.e yeet) bins from our plotting \n",
    "            los_vel_fix[i]=np.nan\n",
    "            disp_vel_fix[i]=np.nan\n",
    "    except TypeError: # catches instance when yeet not given - wow that was a lazy way to do it\n",
    "        pass\n",
    "\n",
    "    \n",
    "    fig, ax = plt.subplots(1,2, figsize=(15,7))\n",
    "    \n",
    "    ## PLOT LOSVD\n",
    "    sn_color0 = plot_voronoi(x, y, # pixel coordinates we extracted from our voronoi_bin table earlier\n",
    "                             los_vel_fix[binNum]-np.nanmedian(los_vel_fix), # center on zero using the median\n",
    "                             pixelsize=1, \n",
    "                             ax=ax[0], \n",
    "                             cmap='coolwarm' # towards us is red, away from us is blue - DOPPLER!\n",
    "                            )\n",
    "\n",
    "    # all this to play with the location of the color bar\n",
    "    divider0 = make_axes_locatable(ax[0]) \n",
    "    cax0 = divider0.append_axes('right', size='5%', pad=0.05)\n",
    "    fig.colorbar(sn_color0,cax=cax0, orientation='vertical')\n",
    "    ax[0].set_title('LOSVD')\n",
    "\n",
    "    ## PLOT DISPERSION\n",
    "    sn_color1 = plot_voronoi(x, y, \n",
    "                             disp_vel_fix[binNum], \n",
    "                             pixelsize=1, \n",
    "                             ax=ax[1], \n",
    "                             cmap='viridis')\n",
    "    \n",
    "    divider1 = make_axes_locatable(ax[1])\n",
    "    cax1 = divider1.append_axes('right', size='5%', pad=0.05)\n",
    "    fig.colorbar(sn_color1,cax=cax1, orientation='vertical')\n",
    "    ax[1].set_title('dispersion')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2250x1050 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "los_vel, disp_vel = dyn.los.values, dyn.disp.values\n",
    "quick_plot_dynamics(los_vel, disp_vel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 - Star Formation History\n",
    "\n",
    "Finally, the reason we've done all this in the first place: the Star Formation History. \n",
    "There are two main ways to plot this: first of all the light fraction, which we get directly from the SED fitting and `ppxf`. The other way is the mass fraction, which is a more useful physical quantity the majority of the time. With the BPASS models and our hoki utilities it'll be easy to derive the mass fraction SFH once we've organised our light fraction SFH. \n",
    "\n",
    "#### 2.3.1 Light Fraction\n",
    "\n",
    "The first thing to do is to calculate the light fraction for each component in each of our voronoi bins. **The light fraction in each voronoi bin should sum to 1.0**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "## first we group by bin ID to calculate the sum of the weights\n",
    "## remember form an earlier tuto, the ppxf weights don't always sum to 1.\n",
    "total_light = sfh.groupby('bin_id').sum().weights\n",
    "\n",
    "# this will make our life easier (see below)\n",
    "sfh = sfh.set_index('bin_id') \n",
    "\n",
    "# then we calculate the light fraction\n",
    "light_fraction = sfh.weights.divide(total_light)\n",
    "sfh['light_fraction']=light_fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>met</th>\n",
       "      <th>age</th>\n",
       "      <th>weights</th>\n",
       "      <th>light_fraction</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bin_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.02</td>\n",
       "      <td>8.9</td>\n",
       "      <td>0.092715</td>\n",
       "      <td>0.134078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.028412</td>\n",
       "      <td>0.041088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.01</td>\n",
       "      <td>9.7</td>\n",
       "      <td>0.138911</td>\n",
       "      <td>0.200882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.02</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0.044917</td>\n",
       "      <td>0.064955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.03</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0.386549</td>\n",
       "      <td>0.558997</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         met   age   weights  light_fraction\n",
       "bin_id                                      \n",
       "0       0.02   8.9  0.092715        0.134078\n",
       "0       0.03   9.0  0.028412        0.041088\n",
       "0       0.01   9.7  0.138911        0.200882\n",
       "0       0.02  10.1  0.044917        0.064955\n",
       "0       0.03  10.1  0.386549        0.558997"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfh.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "say we want to know the star formation history of bin 200, we can use `.loc` because we set the index to be `bin_id`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>met</th>\n",
       "      <th>age</th>\n",
       "      <th>weights</th>\n",
       "      <th>light_fraction</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bin_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>0.02</td>\n",
       "      <td>8.9</td>\n",
       "      <td>0.064498</td>\n",
       "      <td>0.082065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>0.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.097817</td>\n",
       "      <td>0.124459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.623623</td>\n",
       "      <td>0.793476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         met   age   weights  light_fraction\n",
       "bin_id                                      \n",
       "200     0.02   8.9  0.064498        0.082065\n",
       "200     0.03   9.0  0.097817        0.124459\n",
       "200     0.01  10.0  0.623623        0.793476"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfh.loc[200]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay now we are going to separate out the components from different metallicities, because at the end of the day we'd like to plot those individually. You could create your own functions or a data class to handle the stuff below if it gets too repetitive with added metallicities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "# New SFH data frames that only contain one metallicity\n",
    "sfh010=sfh[sfh.met==0.010]\n",
    "sfh020=sfh[sfh.met==0.020]\n",
    "sfh030=sfh[sfh.met==0.030]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating pandas Series grouping the light fraction by log age bin\n",
    "lf_z010=sfh010.groupby('age').sum()['light_fraction']\n",
    "lf_z020=sfh020.groupby('age').sum()['light_fraction']\n",
    "lf_z030=sfh030.groupby('age').sum()['light_fraction']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age\n",
       "6.6       0.005236\n",
       "6.9       0.093890\n",
       "8.6       1.458261\n",
       "8.9      12.964961\n",
       "9.0       1.123147\n",
       "9.1      12.245958\n",
       "9.2       0.287909\n",
       "9.3       2.236460\n",
       "9.4       4.510080\n",
       "9.5      13.695983\n",
       "9.6       0.011081\n",
       "9.7     309.547829\n",
       "9.8       5.104481\n",
       "9.9     461.526415\n",
       "10.0    288.287897\n",
       "10.1     56.685633\n",
       "Name: light_fraction, dtype: float64"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lf_z010"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "# summing those light fractions so that we can...\n",
    "total_lf = sum(lf_z010)+sum(lf_z020)+sum(lf_z030)\n",
    "\n",
    "# ... normalise our Series\n",
    "lf_z010/=total_lf\n",
    "lf_z020/=total_lf\n",
    "lf_z030/=total_lf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age\n",
       "6.6     0.000004\n",
       "6.9     0.000063\n",
       "8.6     0.000976\n",
       "8.9     0.008678\n",
       "9.0     0.000752\n",
       "9.1     0.008197\n",
       "9.2     0.000193\n",
       "9.3     0.001497\n",
       "9.4     0.003019\n",
       "9.5     0.009167\n",
       "9.6     0.000007\n",
       "9.7     0.207194\n",
       "9.8     0.003417\n",
       "9.9     0.308920\n",
       "10.0    0.192964\n",
       "10.1    0.037942\n",
       "Name: light_fraction, dtype: float64"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lf_z010"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating a new data frame to store the SFH we want to plot\n",
    "# it groups the results by metallicity and age \n",
    "df_sfh= pd.DataFrame(np.zeros((3,38)), \n",
    "                     columns = ['met']+list(np.round(np.arange(6.5, 10.2, 0.1),2).astype(str))\n",
    "                    )\n",
    "df_sfh['met']=[0.010, 0.02, 0.03]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
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       "    met  6.5  6.6  6.7  6.8  6.9  7.0  7.1  7.2  7.3  ...  9.2  9.3  9.4  9.5  \\\n",
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       "[3 rows x 38 columns]"
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     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_sfh.head() # currently filled with 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now for each light fraction value in our SFH data frames split by metallicity\n",
    "# we add that light fraction to the corresponding age and metallicity cell \n",
    "# in the df_sfh dataframe which summarises the results\n",
    "\n",
    "for lf, age in zip(sfh010.light_fraction.values, sfh010.age.values):\n",
    "    # the rounding of the age is important below because otherwise \n",
    "    # your string can be 6.9999999999999999 instead of 7.0\n",
    "    df_sfh.loc[:,str(np.round(age,2))][(df_sfh.met == 0.010)] += lf\n",
    "    \n",
    "for lf, age in zip(sfh020.light_fraction.values, sfh020.age.values):\n",
    "    df_sfh.loc[:,str(np.round(age,2))][(df_sfh.met == 0.020)] += lf  \n",
    "    \n",
    "for lf, age in zip(sfh030.light_fraction.values, sfh030.age.values):\n",
    "    df_sfh.loc[:,str(np.round(age,2))][(df_sfh.met == 0.030)] += lf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
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     "execution_count": 172,
     "metadata": {},
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   ],
   "source": [
    "df_sfh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now to make plotting easier we can do some pandas *magic*..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we set the index to the met column and then transpose\n",
    "df_sfh=df_sfh.set_index('met').T\n",
    "df_sfh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we also normalise the results\n",
    "df_sfh /= df_sfh.sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>met</th>\n",
       "      <th>0.01</th>\n",
       "      <th>0.02</th>\n",
       "      <th>0.03</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9.7</th>\n",
       "      <td>0.207194</td>\n",
       "      <td>0.021096</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.8</th>\n",
       "      <td>0.003417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.9</th>\n",
       "      <td>0.308920</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>0.192964</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.1</th>\n",
       "      <td>0.037942</td>\n",
       "      <td>0.051770</td>\n",
       "      <td>0.012350</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "met       0.01      0.02      0.03\n",
       "9.7   0.207194  0.021096  0.000000\n",
       "9.8   0.003417  0.000000  0.000228\n",
       "9.9   0.308920  0.000000  0.000000\n",
       "10.0  0.192964  0.000000  0.000189\n",
       "10.1  0.037942  0.051770  0.012350"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sfh.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16.0, 37.0)"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1050x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# then we can directly plot the stacked bar plot from pandas!\n",
    "# so much easier than creating it from scratch in matplotlib!\n",
    "f, ax = plt.subplots(nrows=1, figsize=(7,3))\n",
    "df_sfh.plot.bar(stacked=True, ax=ax, color={0.01: \"red\",\n",
    "                                            0.02: \"green\",\n",
    "                                            0.03: \"cornflowerblue\",\n",
    "                                             })\n",
    "ax.set_xlim([16,37])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.3.2 Mass fraction\n",
    "\n",
    "Okay so the final step is to turn this light fraction plot into a mass fraction one:\n",
    "1) We need to turn the light fraction into a *current* mass fraction by comparing their absolute amplitude to our template SEDs absolute amplitude (and we know they are for 10^6 solar masses *at birth*\n",
    "2) The discrepancy between the *current* mass fraction and the BPASS 10^6 solar masses *at birth* can be dealt with because we have in the BPASS outputs a table that tells us how much mass stellar mass remains at any given age bin. \n",
    "\n",
    "Let's do this step by step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# a) we load the BPASS SEDs (not the templates made with hoki) from the model outputs\n",
    "\n",
    "spectra_010=load.model_output(BPASS_MODEL_PATH+'spectra-bin-imf135_300.z010.dat')\n",
    "spectra_020=load.model_output(BPASS_MODEL_PATH+'spectra-bin-imf135_300.z020.dat')\n",
    "spectra_030=load.model_output(BPASS_MODEL_PATH+'spectra-bin-imf135_300.z030.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WL</th>\n",
       "      <th>6.0</th>\n",
       "      <th>6.1</th>\n",
       "      <th>6.2</th>\n",
       "      <th>6.3</th>\n",
       "      <th>6.4</th>\n",
       "      <th>6.5</th>\n",
       "      <th>6.6</th>\n",
       "      <th>6.7</th>\n",
       "      <th>6.8</th>\n",
       "      <th>...</th>\n",
       "      <th>10.1</th>\n",
       "      <th>10.2</th>\n",
       "      <th>10.3</th>\n",
       "      <th>10.4</th>\n",
       "      <th>10.5</th>\n",
       "      <th>10.6</th>\n",
       "      <th>10.7</th>\n",
       "      <th>10.8</th>\n",
       "      <th>10.9</th>\n",
       "      <th>11.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.967282e-40</td>\n",
       "      <td>4.218233e-40</td>\n",
       "      <td>4.603921e-40</td>\n",
       "      <td>6.073403e-40</td>\n",
       "      <td>1.315608e-39</td>\n",
       "      <td>3.371735e-39</td>\n",
       "      <td>7.411536e-39</td>\n",
       "      <td>3.407992e-38</td>\n",
       "      <td>5.704377e-38</td>\n",
       "      <td>...</td>\n",
       "      <td>3.527645e-40</td>\n",
       "      <td>4.776701e-40</td>\n",
       "      <td>5.914132e-40</td>\n",
       "      <td>2.209390e-40</td>\n",
       "      <td>1.870472e-40</td>\n",
       "      <td>1.753484e-40</td>\n",
       "      <td>1.592896e-40</td>\n",
       "      <td>3.193369e-40</td>\n",
       "      <td>1.166236e-40</td>\n",
       "      <td>4.273201e-41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.967282e-40</td>\n",
       "      <td>4.218233e-40</td>\n",
       "      <td>4.603921e-40</td>\n",
       "      <td>6.073403e-40</td>\n",
       "      <td>1.315608e-39</td>\n",
       "      <td>3.371735e-39</td>\n",
       "      <td>7.411536e-39</td>\n",
       "      <td>3.407992e-38</td>\n",
       "      <td>5.704377e-38</td>\n",
       "      <td>...</td>\n",
       "      <td>3.527645e-40</td>\n",
       "      <td>4.776701e-40</td>\n",
       "      <td>5.914132e-40</td>\n",
       "      <td>2.209390e-40</td>\n",
       "      <td>1.870472e-40</td>\n",
       "      <td>1.753484e-40</td>\n",
       "      <td>1.592896e-40</td>\n",
       "      <td>3.193369e-40</td>\n",
       "      <td>1.166236e-40</td>\n",
       "      <td>4.273201e-41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.967282e-40</td>\n",
       "      <td>4.218233e-40</td>\n",
       "      <td>4.603921e-40</td>\n",
       "      <td>6.073403e-40</td>\n",
       "      <td>1.315608e-39</td>\n",
       "      <td>3.371735e-39</td>\n",
       "      <td>7.411536e-39</td>\n",
       "      <td>3.407992e-38</td>\n",
       "      <td>5.704377e-38</td>\n",
       "      <td>...</td>\n",
       "      <td>3.527645e-40</td>\n",
       "      <td>4.776701e-40</td>\n",
       "      <td>5.914132e-40</td>\n",
       "      <td>2.209390e-40</td>\n",
       "      <td>1.870472e-40</td>\n",
       "      <td>1.753484e-40</td>\n",
       "      <td>1.592896e-40</td>\n",
       "      <td>3.193369e-40</td>\n",
       "      <td>1.166236e-40</td>\n",
       "      <td>4.273201e-41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.967282e-40</td>\n",
       "      <td>4.218233e-40</td>\n",
       "      <td>4.603921e-40</td>\n",
       "      <td>6.073403e-40</td>\n",
       "      <td>1.315608e-39</td>\n",
       "      <td>3.371735e-39</td>\n",
       "      <td>7.411536e-39</td>\n",
       "      <td>3.407992e-38</td>\n",
       "      <td>5.704377e-38</td>\n",
       "      <td>...</td>\n",
       "      <td>3.527645e-40</td>\n",
       "      <td>4.776701e-40</td>\n",
       "      <td>5.914132e-40</td>\n",
       "      <td>2.209390e-40</td>\n",
       "      <td>1.870472e-40</td>\n",
       "      <td>1.753484e-40</td>\n",
       "      <td>1.592896e-40</td>\n",
       "      <td>3.193369e-40</td>\n",
       "      <td>1.166236e-40</td>\n",
       "      <td>4.273201e-41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.967282e-40</td>\n",
       "      <td>4.218233e-40</td>\n",
       "      <td>4.603921e-40</td>\n",
       "      <td>6.073403e-40</td>\n",
       "      <td>1.315608e-39</td>\n",
       "      <td>3.371735e-39</td>\n",
       "      <td>7.411536e-39</td>\n",
       "      <td>3.407992e-38</td>\n",
       "      <td>5.704377e-38</td>\n",
       "      <td>...</td>\n",
       "      <td>3.527645e-40</td>\n",
       "      <td>4.776701e-40</td>\n",
       "      <td>5.914132e-40</td>\n",
       "      <td>2.209390e-40</td>\n",
       "      <td>1.870472e-40</td>\n",
       "      <td>1.753484e-40</td>\n",
       "      <td>1.592896e-40</td>\n",
       "      <td>3.193369e-40</td>\n",
       "      <td>1.166236e-40</td>\n",
       "      <td>4.273201e-41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    WL           6.0           6.1           6.2           6.3           6.4  \\\n",
       "0  1.0  3.967282e-40  4.218233e-40  4.603921e-40  6.073403e-40  1.315608e-39   \n",
       "1  2.0  3.967282e-40  4.218233e-40  4.603921e-40  6.073403e-40  1.315608e-39   \n",
       "2  3.0  3.967282e-40  4.218233e-40  4.603921e-40  6.073403e-40  1.315608e-39   \n",
       "3  4.0  3.967282e-40  4.218233e-40  4.603921e-40  6.073403e-40  1.315608e-39   \n",
       "4  5.0  3.967282e-40  4.218233e-40  4.603921e-40  6.073403e-40  1.315608e-39   \n",
       "\n",
       "            6.5           6.6           6.7           6.8  ...          10.1  \\\n",
       "0  3.371735e-39  7.411536e-39  3.407992e-38  5.704377e-38  ...  3.527645e-40   \n",
       "1  3.371735e-39  7.411536e-39  3.407992e-38  5.704377e-38  ...  3.527645e-40   \n",
       "2  3.371735e-39  7.411536e-39  3.407992e-38  5.704377e-38  ...  3.527645e-40   \n",
       "3  3.371735e-39  7.411536e-39  3.407992e-38  5.704377e-38  ...  3.527645e-40   \n",
       "4  3.371735e-39  7.411536e-39  3.407992e-38  5.704377e-38  ...  3.527645e-40   \n",
       "\n",
       "           10.2          10.3          10.4          10.5          10.6  \\\n",
       "0  4.776701e-40  5.914132e-40  2.209390e-40  1.870472e-40  1.753484e-40   \n",
       "1  4.776701e-40  5.914132e-40  2.209390e-40  1.870472e-40  1.753484e-40   \n",
       "2  4.776701e-40  5.914132e-40  2.209390e-40  1.870472e-40  1.753484e-40   \n",
       "3  4.776701e-40  5.914132e-40  2.209390e-40  1.870472e-40  1.753484e-40   \n",
       "4  4.776701e-40  5.914132e-40  2.209390e-40  1.870472e-40  1.753484e-40   \n",
       "\n",
       "           10.7          10.8          10.9          11.0  \n",
       "0  1.592896e-40  3.193369e-40  1.166236e-40  4.273201e-41  \n",
       "1  1.592896e-40  3.193369e-40  1.166236e-40  4.273201e-41  \n",
       "2  1.592896e-40  3.193369e-40  1.166236e-40  4.273201e-41  \n",
       "3  1.592896e-40  3.193369e-40  1.166236e-40  4.273201e-41  \n",
       "4  1.592896e-40  3.193369e-40  1.166236e-40  4.273201e-41  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spectra_010.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "# b) we load in the starmass table as well\n",
    "starmass_bin_010=load.model_output(BPASS_MODEL_PATH+\"starmass-bin-imf135_300.z010.dat\")\n",
    "starmass_bin_020=load.model_output(BPASS_MODEL_PATH+\"starmass-bin-imf135_300.z020.dat\")\n",
    "starmass_bin_030=load.model_output(BPASS_MODEL_PATH+\"starmass-bin-imf135_300.z030.dat\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>log_age</th>\n",
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       "      <th>2</th>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.3</td>\n",
       "      <td>997982.20</td>\n",
       "      <td>0.002659</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.4</td>\n",
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      "text/plain": [
       "   log_age  stellar_mass  remnant_mass\n",
       "0      6.0    1000000.00      0.000000\n",
       "1      6.1    1000000.00      0.000000\n",
       "2      6.2    1000000.00      0.000000\n",
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     "metadata": {},
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   ],
   "source": [
    "starmass_bin_010.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "# c) we set a few useful variables \n",
    "wl_fits=bestfit.columns.values\n",
    "wl_min, wl_max = wl_fits[0], wl_fits[-1]\n",
    "L_sol = 3.846e33 # luminosity of the sun in cgs\n",
    "d = 1.23e26 # distance to NGC4993 in cm\n",
    "scale_to_observer_units = L_sol / (4*np.pi*d**2) # inverse square law!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "# d) add some colums to our sfh table so we can store our results \n",
    "#    for the current mass and the ZAMS mass\n",
    "sfh['Mzams'] = np.zeros(sfh.shape[0])\n",
    "sfh['Mnow'] = np.zeros(sfh.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>met</th>\n",
       "      <th>age</th>\n",
       "      <th>weights</th>\n",
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       "      <th>Mzams</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.558997</td>\n",
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       "      <td>0.113960</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>9.7</td>\n",
       "      <td>0.311537</td>\n",
       "      <td>0.346084</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1493</th>\n",
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       "      <td>0.525637</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1493</th>\n",
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       "      <td>0.014318</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "<p>6047 rows × 6 columns</p>\n",
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      ],
      "text/plain": [
       "         met   age   weights  light_fraction  Mzams  Mnow\n",
       "bin_id                                                   \n",
       "0       0.02   8.9  0.092715        0.134078    0.0   0.0\n",
       "0       0.03   9.0  0.028412        0.041088    0.0   0.0\n",
       "0       0.01   9.7  0.138911        0.200882    0.0   0.0\n",
       "0       0.02  10.1  0.044917        0.064955    0.0   0.0\n",
       "0       0.03  10.1  0.386549        0.558997    0.0   0.0\n",
       "...      ...   ...       ...             ...    ...   ...\n",
       "1492    0.01   9.9  0.283420        0.345728    0.0   0.0\n",
       "1493    0.03   9.0  0.102584        0.113960    0.0   0.0\n",
       "1493    0.01   9.7  0.311537        0.346084    0.0   0.0\n",
       "1493    0.01   9.9  0.473166        0.525637    0.0   0.0\n",
       "1493    0.01  10.0  0.012889        0.014318    0.0   0.0\n",
       "\n",
       "[6047 rows x 6 columns]"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2818.566162</td>\n",
       "      <td>2.818566e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2808.959717</td>\n",
       "      <td>2.808960e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3148.326416</td>\n",
       "      <td>3.148326e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2370.432861</td>\n",
       "      <td>2.370433e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1489</th>\n",
       "      <td>2894.474315</td>\n",
       "      <td>2.894474e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1490</th>\n",
       "      <td>4660.632334</td>\n",
       "      <td>4.660632e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1491</th>\n",
       "      <td>3839.647448</td>\n",
       "      <td>3.839647e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1492</th>\n",
       "      <td>3379.250118</td>\n",
       "      <td>3.379250e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1493</th>\n",
       "      <td>4145.672011</td>\n",
       "      <td>4.145672e-17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1494 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             median       to_ergs\n",
       "bin_id                           \n",
       "0       3199.449463  3.199449e-17\n",
       "1       2818.566162  2.818566e-17\n",
       "2       2808.959717  2.808960e-17\n",
       "3       3148.326416  3.148326e-17\n",
       "4       2370.432861  2.370433e-17\n",
       "...             ...           ...\n",
       "1489    2894.474315  2.894474e-17\n",
       "1490    4660.632334  4.660632e-17\n",
       "1491    3839.647448  3.839647e-17\n",
       "1492    3379.250118  3.379250e-17\n",
       "1493    4145.672011  4.145672e-17\n",
       "\n",
       "[1494 rows x 2 columns]"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# another table we haven't talked about yet is going to come in handy\n",
    "# the scale_factors: it allows use to transform our fit and template spectra from \n",
    "# normalised no-units spectra to real things with real units. \n",
    "scale_factors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "####### CALCULATE M ZAMS ############\n",
    "\n",
    "# for each row in sfh\n",
    "for i in range(sfh.shape[0]):\n",
    "    # we load the matching template (it contains the kinematics, that's okay), the light fraction\n",
    "    # the age and the metallicity, and we keep track of which bin_id we're looking at\n",
    "    spec, w, a, z = match_spectra.iloc[i,:], sfh.light_fraction.iloc[i], sfh.age.iloc[i], sfh.met.iloc[i]\n",
    "    bin_id = sfh.index.values[i]\n",
    "\n",
    "    # our template spectrum is converted to ergs and we multipled by its sfh light fraction weight w\n",
    "    template_i = spec*scale_factors.to_ergs.iloc[bin_id]*w\n",
    "    \n",
    "    # bpass_i is the BPASS SED scaled to observer units, cropped to the right wavelengtth and \n",
    "    # at the right age and metallicity (this could be streamlined)\n",
    "    if z == 0.01:\n",
    "        # could do the iloc crop outside the loop...\n",
    "        bpass_i = spectra_010.iloc[int(wl_min):int(wl_max)+1, :][str(np.round(a,2))]*scale_to_observer_units\n",
    "        \n",
    "    elif z == 0.02:\n",
    "        bpass_i = spectra_020.iloc[int(wl_min):int(wl_max)+1, :][str(np.round(a,2))]*scale_to_observer_units\n",
    "    \n",
    "    elif z == 0.030:\n",
    "        bpass_i = spectra_030.iloc[int(wl_min):int(wl_max)+1, :][str(np.round(a,2))]*scale_to_observer_units\n",
    "        \n",
    "    # Now to get the ZAMS mass we basically compare the mean flux of the template SED\n",
    "    # that corresponds to a given SFH component (e.g. log age=8.0, Z=0.020) to the raw BPASS SED\n",
    "    # converted to observer units \n",
    "    sfh['Mzams'].iloc[i]=np.mean(template_i)/np.mean(bpass_i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "###### CALCULATE MASS 'NOW' (AT GIVEN LOG AGE) ####\n",
    "\n",
    "for i in range(sfh.shape[0]):\n",
    "    # store the age, met and mass at zams for this particular row of the sfh \n",
    "    a,z,zams = sfh.age.iloc[i], sfh.met.iloc[i], sfh.Mzams.iloc[i]\n",
    "    \n",
    "    # then calculate the current mass by scaling by the corresponding row\n",
    "    # in the starmass table from the bpass models. \n",
    "    # also dividing by 1e6 so that it's in PER 1 MILLION Msol like the Mzams is\n",
    "    if z == 0.01:\n",
    "        current_mass_i = zams*starmass_bin_010[starmass_bin_010.log_age==a].stellar_mass.values[0]/1e6\n",
    "    elif z == 0.02:\n",
    "        current_mass_i = zams*starmass_bin_020[starmass_bin_020.log_age==a].stellar_mass.values[0]/1e6\n",
    "    elif z == 0.030:\n",
    "        current_mass_i = zams*starmass_bin_030[starmass_bin_030.log_age==a].stellar_mass.values[0]/1e6 \n",
    "    sfh['Mnow'].iloc[i] = current_mass_i "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>met</th>\n",
       "      <th>age</th>\n",
       "      <th>weights</th>\n",
       "      <th>light_fraction</th>\n",
       "      <th>Mzams</th>\n",
       "      <th>Mnow</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bin_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.02</td>\n",
       "      <td>8.9</td>\n",
       "      <td>0.092715</td>\n",
       "      <td>0.134078</td>\n",
       "      <td>0.898908</td>\n",
       "      <td>0.600884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.028412</td>\n",
       "      <td>0.041088</td>\n",
       "      <td>0.422087</td>\n",
       "      <td>0.275592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.01</td>\n",
       "      <td>9.7</td>\n",
       "      <td>0.138911</td>\n",
       "      <td>0.200882</td>\n",
       "      <td>7.425133</td>\n",
       "      <td>3.949804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.02</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0.044917</td>\n",
       "      <td>0.064955</td>\n",
       "      <td>6.836699</td>\n",
       "      <td>3.445810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.03</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0.386549</td>\n",
       "      <td>0.558997</td>\n",
       "      <td>60.280893</td>\n",
       "      <td>30.022886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1492</th>\n",
       "      <td>0.01</td>\n",
       "      <td>9.9</td>\n",
       "      <td>0.283420</td>\n",
       "      <td>0.345728</td>\n",
       "      <td>39.295878</td>\n",
       "      <td>19.853163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1493</th>\n",
       "      <td>0.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.102584</td>\n",
       "      <td>0.113960</td>\n",
       "      <td>2.056300</td>\n",
       "      <td>1.342613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1493</th>\n",
       "      <td>0.01</td>\n",
       "      <td>9.7</td>\n",
       "      <td>0.311537</td>\n",
       "      <td>0.346084</td>\n",
       "      <td>22.545483</td>\n",
       "      <td>11.993084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1493</th>\n",
       "      <td>0.01</td>\n",
       "      <td>9.9</td>\n",
       "      <td>0.473166</td>\n",
       "      <td>0.525637</td>\n",
       "      <td>70.939023</td>\n",
       "      <td>35.839992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1493</th>\n",
       "      <td>0.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.012889</td>\n",
       "      <td>0.014318</td>\n",
       "      <td>1.819800</td>\n",
       "      <td>0.911607</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6047 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         met   age   weights  light_fraction      Mzams       Mnow\n",
       "bin_id                                                            \n",
       "0       0.02   8.9  0.092715        0.134078   0.898908   0.600884\n",
       "0       0.03   9.0  0.028412        0.041088   0.422087   0.275592\n",
       "0       0.01   9.7  0.138911        0.200882   7.425133   3.949804\n",
       "0       0.02  10.1  0.044917        0.064955   6.836699   3.445810\n",
       "0       0.03  10.1  0.386549        0.558997  60.280893  30.022886\n",
       "...      ...   ...       ...             ...        ...        ...\n",
       "1492    0.01   9.9  0.283420        0.345728  39.295878  19.853163\n",
       "1493    0.03   9.0  0.102584        0.113960   2.056300   1.342613\n",
       "1493    0.01   9.7  0.311537        0.346084  22.545483  11.993084\n",
       "1493    0.01   9.9  0.473166        0.525637  70.939023  35.839992\n",
       "1493    0.01  10.0  0.012889        0.014318   1.819800   0.911607\n",
       "\n",
       "[6047 rows x 6 columns]"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sfh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE: Mzams and Mnow are in PER 1 MILLION Msol**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now we create our summary sfh dataframe just like we did for the light fraction!\n",
    "df_sfh_mass = pd.DataFrame(np.zeros((3,38)), \n",
    "                           columns = ['met']+list(np.round(np.arange(6.5, 10.2, 0.1),2).astype(str))\n",
    "                          )\n",
    "\n",
    "df_sfh_mass['met']=[0.010, 0.02, 0.03]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "# do this again to update the sfh010 020 030 tables to contain the mass information\n",
    "sfh010=sfh[sfh.met==0.010]\n",
    "sfh020=sfh[sfh.met==0.020]\n",
    "sfh030=sfh[sfh.met==0.030]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "for mass, age in zip(sfh010.Mnow.values, sfh010.age.values):\n",
    "    df_sfh_mass.loc[:,str(np.round(age,2))][(df_sfh_mass.met == 0.010)] += mass\n",
    "    \n",
    "for mass, age in zip(sfh020.Mnow.values, sfh020.age.values):\n",
    "    df_sfh_mass.loc[:,str(np.round(age,2))][(df_sfh_mass.met == 0.020)] += mass \n",
    "    \n",
    "for mass, age in zip(sfh030.Mnow.values, sfh030.age.values):\n",
    "    df_sfh_mass.loc[:,str(np.round(age,2))][(df_sfh_mass.met == 0.030)] += mass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [],
   "source": [
    "# *magic* (see above when did it for df_shf)\n",
    "df_sfh_mass=df_sfh_mass.set_index('met').T\n",
    "# normalise\n",
    "df_sfh_mass /= df_sfh_mass.sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16.0, 37.0)"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1050x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot!\n",
    "f, ax = plt.subplots(nrows=1, figsize=(7,3))\n",
    "df_sfh_mass.plot.bar(stacked=True, ax=ax, color={0.01: \"red\",\n",
    "                                                0.02: \"green\",\n",
    "                                                0.03: \"cornflowerblue\",\n",
    "                                             })\n",
    "ax.set_xlim([16,37])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Plot!\n",
    "\n",
    "Now we can plot our SFH in terms of light fraction and mass fraction altogether to put in our paper! woop woop!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(19, 0.38, 'Metallicity (Z)')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1050x900 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(nrows=2, figsize=(7,6))\n",
    "df_sfh.plot.bar(stacked=True, ax=ax[0], color={0.01: \"red\",\n",
    "                                                0.02: \"green\",\n",
    "                                                0.03: \"cornflowerblue\",\n",
    "                                             })\n",
    "\n",
    "df_sfh_mass.plot.bar(stacked=True, ax=ax[1], color={0.01: \"red\",\n",
    "                                                0.02: \"green\",\n",
    "                                                0.03: \"cornflowerblue\",\n",
    "                                             })\n",
    "plt.subplots_adjust(hspace=0.01)\n",
    "for axis in ax:\n",
    "    axis.set_xlim([15.1,37])\n",
    "    axis.set_ylim([0,0.49])\n",
    "    \n",
    "ax[1].legend('')\n",
    "ax[0].legend(ncol=3, loc=2)\n",
    "\n",
    "ax[1].set_xlabel('log(age/years)')\n",
    "ax[0].set_ylabel('Light Fraction')\n",
    "ax[1].set_ylabel('Mass Fraction')\n",
    "ax[0].text(19, 0.38, 'Metallicity (Z)')"
   ]
  }
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