Exercise-3-Muon-identification-and-isolation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the previous exercises we applied cuts on various quantities embedded in the muon object without understanding what they were or why we were imposing the suggested requirements. In this exercise, we will build on the discussion in the introduction and the practice with the nanoAOD in the previous exercise to analyze the main properties and quality variables of muon tracks and how they can be used to identify muons from different sources. We will use the following NANOAODSIM files, containing simulated Drell–Yan, top-pair, and QCD multijet events:\n",
    "* DYJetsToMuMu_M-50_TuneCP5_14TeV-madgraphMLM-pythia8.root\n",
    "* TTJets_DiLept_TuneCP5_13TeV-madgraphMLM-pythia8.root\n",
    "* QCD_Pt-20toInf_MuEnrichedPt15_TuneCP5_13TeV_pythia8.root"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import uproot\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import awkward as ak\n",
    "from coffea.nanoevents import NanoEventsFactory, NanoAODSchema"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 1: Retrive and plot some variables\n",
    "We will consider muons satisfying some very basic criteria:\n",
    "\n",
    "* pT > 20 GeV\n",
    "* |η| < 2.4, i.e. within the tracker acceptance \n",
    "* the muon must have an inner-tracker track\n",
    "<br>\n",
    "\n",
    "We will also retrieve and select the primary proton-proton vertices with some very basic requirements:\n",
    "\n",
    "To begin, we can creat a few lists of file names, variable names and muon flavor to loop over those variables and plot histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "filenames= ['~/work/projects/hats2024/data/DYJets.root', '~/work/projects/hats2024/data/TTToLL.root', '~/work/projects/hats2024/data/QCDMuEnriched.root']\n",
    "variables= ['pt', 'eta', 'isGlobal', 'isTracker', 'nStations', 'nTrackerLayers', 'dxy', 'pfRelIso04_all', 'tkRelIso']\n",
    "muonid= ['looseId', 'mediumId', 'tightId', 'softId', 'highPtId']\n",
    "muonflavs= ['prompt', 'tau', 'lf', 'fake']\n",
    "bins=[20, 25, 2, 2, 6, 25, 40, 30, 30]\n",
    "binranges=[[0,100], [-2.5, 2.5], [-0.5, 1.5], [-0.5, 1.5], [-0.5, 5.5], [-0.5, 24.5], [-0.10, 0.11], [0, 0.3], [0, 0.3]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "index=[0,1,2]\n",
    "n=len(filenames)\n",
    "file=[None]*n\n",
    "muon=[None]*n\n",
    "muon_genpartflav=[None]*n\n",
    "npvs=[None]*n\n",
    "npvsgood=[None]*n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/depot/cms/kernels/hats2024/lib/python3.12/site-packages/coffea/nanoevents/methods/candidate.py:11: FutureWarning: In version 2024.7.0 (target date: 2024-06-30 11:59:59-05:00), this will be an error.\n",
      "To raise these warnings as errors (and get stack traces to find out where they're called), run\n",
      "    import warnings\n",
      "    warnings.filterwarnings(\"error\", module=\"coffea.*\")\n",
      "after the first `import coffea` or use `@pytest.mark.filterwarnings(\"error:::coffea.*\")` in pytest.\n",
      "Issue: coffea.nanoevents.methods.vector will be removed and replaced with scikit-hep vector. Nanoevents schemas internal to coffea will be migrated. Otherwise please consider using that package!.\n",
      "  from coffea.nanoevents.methods import vector\n"
     ]
    }
   ],
   "source": [
    "eventsDY = NanoEventsFactory.from_root(\n",
    "    {filenames[0]: \"Events\"}, # We pass a dictionary of {filename1: treename1, filename2: treename2, ...} to load from\n",
    "    schemaclass=NanoAODSchema,\n",
    "    metadata={\"dataset\": \"DYJets\"},\n",
    "    delayed=False, # You can turn this to True and insert `` commands at the end of variables\n",
    "    entry_stop = 100000,\n",
    ").events()\n",
    "\n",
    "eventsTT = NanoEventsFactory.from_root(\n",
    "    {filenames[1]: \"Events\"}, # We pass a dictionary of {filename1: treename1, filename2: treename2, ...} to load from\n",
    "    schemaclass=NanoAODSchema,\n",
    "    metadata={\"dataset\": \"TT\"},\n",
    "    delayed=False, # You can turn this to True and insert `` commands at the end of variables\n",
    "    entry_stop = 100000,    \n",
    ").events()\n",
    "\n",
    "\n",
    "eventsQCD = NanoEventsFactory.from_root(\n",
    "    {filenames[2]: \"Events\"}, # We pass a dictionary of {filename1: treename1, filename2: treename2, ...} to load from\n",
    "    schemaclass=NanoAODSchema,\n",
    "    metadata={\"dataset\": \"QCD\"},\n",
    "    delayed=False, # You can turn this to True and insert `` commands at the end of variables\n",
    "    entry_stop = 100000,    \n",
    ").events()\n",
    "\n",
    "events = [eventsDY, eventsTT, eventsQCD]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[], [], [], [], [], [], [], [], ..., [23, 23], [41], [20], [], [27], [], [53]]\n",
      "[[], [34], [21], [32, 32, 32], [...], ..., [22], [35, 35], [19, 19], [26, 26]]\n",
      "[[36], [37, 37], [17, 17], [32], [47], [43], ..., [19], [36], [28], [], [25]]\n"
     ]
    }
   ],
   "source": [
    "#getting the primary vertices\n",
    "for idx in index:\n",
    "    npvsgood[idx]= events[idx].PV.npvsGood\n",
    "    events[idx][\"Muon\",\"PV_npvs\"] = events[idx].PV.npvs\n",
    "    print (events[idx].Muon.PV_npvs)\n",
    "    muon[idx] = events[idx].Muon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to proceed, each event must have at least one good vertex(selection:!isFake && ndof > 4 && abs(z) <= 24 && position.Rho <= 2), this information is stored in PV_npvsGood "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So every event have at lest one good vertex"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To better understand the selection criteria, it is useful to classify each muon according to how it was produced:\n",
    "\n",
    "* prompt, i.e. from the decay of a W or Z boson or from a τ lepton produced in the hard proton-proton interaction\n",
    "* heavy flavor decay, i.e. from the decay of a b-quark or c-quark hadron\n",
    "* light flavor decay, i.e. from the decay of a light-quark hadron, such as a pion or a kaon\n",
    "* fake muons, such as punch-through or matching of random tracks and muon segments.\n",
    "\n",
    "In nanoAOD file, the above information is stored in Muon_genPartFlav, here is its description:<br>\n",
    "Flavour of genParticle for MC matching to status==1 muons: 1 = prompt muon (including gamma*->mu mu), 15 = muon from prompt tau, 5 = muon from b, 4 = muon from c, 3 = muon from light or unknown, 0 = unmatched <br>\n",
    "\n",
    "These are some possible variables that we will investigate:<br>\n",
    "whether the muon is a global muon, i.e. it was reconstructed with a combined fit of tracker and muon chambers measurements\n",
    "* Muon_isGlobal\n",
    "\n",
    "whether the muon is a tracker muon, i.e. it was identified by geometrically matching an inner track with segments in the muon chambers\n",
    "* Muon_isTracker\n",
    "\n",
    "Number of muon stations with matched segments\n",
    "* Muon_nStations\n",
    "\n",
    "Number of hits in the tracker layers\n",
    "* Muon_nTrackerLayers\n",
    "\n",
    "Transverse impact parameter of the track with respect to the vertex from which the muon originated\n",
    "* Muon_dxy\n",
    "\n",
    "PF-based combined relative isolation, Δβ-corrected for pileup\n",
    "* Muon_pfRelIso04_all\n",
    "\n",
    "Tracker-based relative isolation\n",
    "* Muon_tkRelIso"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot them "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "diclist=[]\n",
    "for idx in index:\n",
    "    muon_mask=(muon[idx].pt>20)& (abs(muon[idx].eta)<2.4)\n",
    "    dic={}\n",
    "    for flav, type in zip([1, 15 , 3, 0], muonflavs):\n",
    "        muon_mask_all= muon_mask& (muon[idx].genPartFlav==flav)\n",
    "        event_mask= npvsgood[idx]>0 #at least one good primary vertex\n",
    "        for var in variables:\n",
    "            dic[f'{var}_{type}']=(muon[idx])[f'{var}'][muon_mask_all][event_mask]\n",
    "        for id in muonid:        \n",
    "            id_mask_combined=muon_mask_all& (((muon[idx])[f'{id}'])!=0)\n",
    "            dic[f'{id}_{type}_pt']=(muon[idx])['pt'][id_mask_combined][event_mask]\n",
    "    \n",
    "    muon_mask_tightid=muon_mask& (muon[idx].tightId!=0)\n",
    "    muon_mask_tightid_pfreliso04_all=muon_mask_tightid& (muon[idx].pfRelIso04_all<0.15)\n",
    "    dic['npvs_muon_mask']= (muon[idx].PV_npvs)[event_mask]\n",
    "    dic['npvs_muon_mask_tightid']=(muon[idx].PV_npvs)[muon_mask_tightid][event_mask]\n",
    "    dic['npvs_muon_mask_tightid_pfreliso04_all']=(muon[idx].PV_npvs)[muon_mask_tightid_pfreliso04_all][event_mask]\n",
    "    diclist.append(dic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_variables={}\n",
    "for type in muonflavs:\n",
    "        for var in variables:\n",
    "            combined_variables[f'{var}_{type}']=np.concatenate((ak.flatten(diclist[0][f'{var}_{type}']), ak.flatten(diclist[1][f'{var}_{type}']), ak.flatten(diclist[2][f'{var}_{type}'])))\n",
    "        for id in muonid:\n",
    "            combined_variables[f'{id}_{type}_pt']=np.concatenate((ak.flatten(diclist[0][f'{id}_{type}_pt']), ak.flatten(diclist[1][f'{id}_{type}_pt']), ak.flatten(diclist[2][f'{id}_{type}_pt'])))\n",
    "for name in ['npvs_muon_mask','npvs_muon_mask_tightid','npvs_muon_mask_tightid_pfreliso04_all']:\n",
    "    combined_variables[name]=np.concatenate((ak.flatten(diclist[0][name]), ak.flatten(diclist[1][name]), ak.flatten(diclist[2][name])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/depot/cms/kernels/hats2024/lib/python3.12/site-packages/matplotlib/axes/_axes.py:6862: RuntimeWarning: Converting input from bool to <class 'numpy.uint8'> for compatibility.\n",
      "  m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwAAAAINCAYAAACJaBjkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABQg0lEQVR4nO3de1xVdb7/8ffmDgobL4FbQRQltSxNOGPeNS8YktpFTUezMpU6aWSOl/EXXibHy4yXmkYzKz2VEZXWKSXN0TRN83hjdNLMDG+4GZMUvAHKXr8/PO7jDkRAYIvr9Xw89iP2d3/XWp/1bbVb771uFsMwDAEAAAAwBQ93FwAAAACg8hAAAAAAABMhAAAAAAAmQgAAAAAATIQAAAAAAJgIAQAAAAAwEQIAAAAAYCIEAAAAAMBEvNxdQGVzOBw6ceKEAgMDZbFY3F0OAAAAUC4Mw9DZs2dVt25deXhc/3d+0wWAEydOKDw83N1lAAAAABXi2LFjCgsLu+7npgsAgYGBkq4MTFBQkJurAQAAAMpHTk6OwsPDnfu712O6AHD1tJ+goCACAAAAAG47NzrNnYuAAQAAABMhAAAAAAAmQgAAAAAATMR01wCUhGEYunz5sgoKCtxdCuDC09NTXl5e3MIWAACUGQHgN/Lz82W323XhwgV3lwIUKSAgQDabTT4+Pu4uBQAAVEEEgGs4HA6lp6fL09NTdevWlY+PD7+04pZhGIby8/P1yy+/KD09XVFRUcU+5AMAAKAoBIBr5Ofny+FwKDw8XAEBAe4uByjE399f3t7eOnLkiPLz8+Xn5+fukgAAQBXDz4dF4FdV3MrYPgEAwM1gTwIAAAAwEU4BKomYGCkzs/KXW6eOtGNH5S8XAAAAty0CQElkZkoZGe6uolidO3dWy5YtNX/+fHeX4uLw4cNq2LChdu/erZYtW7q7HAAAANMjAJSGh4dks1X8cux2yeEo1SQrVqyQt7d3sX1udEejoUOHaunSpaVaLsqPxWLRp59+qr59+7q7FAAAcBsjAJSGzSYdP17xywkLK/URh5o1a96wj91ud/6dkpKipKQkHThwwNnm7+/v0v/SpUs3DBXuUBF1FRQUyGKxcIEtAAC47bl1b+ebb77RQw89pLp168piseizzz674TQbN25UdHS0/Pz8FBkZqTfeeKPiC60COnfurMTEREnSggULFBUVJT8/P4WGhuqxxx6TJNWpU8f5slqtslgszve5ubkKDg7WRx99pM6dO8vPz0/vv/++srKyNHDgQIWFhSkgIED33HOPkpOTXZbtcDg0a9YsNW7cWL6+vqpfv76mT59eZJ0Oh0PDhw/XnXfeqSNHjkiSvvjiC5d/p1OnTtXly5ed01gsFr3xxhvq06ePqlWrpldeeaXYsdiwYYMsFotWrVqlFi1ayM/PT61bt9bevXudfZYuXarg4GCtXLlSd911l3x9fXXkyBGdPn1aTzzxhGrUqKGAgAA9+OCDOnjwYJHTNWnSRAEBAXrsscd0/vx5/dd//ZcaNGigGjVqaNSoUS5Pkm7QoIH+9Kc/adCgQapevbrq1q2rv/3tby6fS9LDDz8si8XifA8AAFDe3BoAzp8/rxYtWuj1118vUf/09HTFxcWpQ4cO2r17t/74xz9q9OjRWr58eQVXWnXs2LFDo0eP1rRp03TgwAGtXr1aHTt2LPH048eP1+jRo7V//37FxsYqNzdX0dHRWrlypf71r39pxIgRGjJkiLZt2+acZuLEiZo1a5Zefvll7du3Tx988IFCQ0MLzTs/P1/9+/fXjh07tHnzZkVERGjNmjUaPHiwRo8erX379mnRokVaunRpoQAxefJk9enTR3v37tXTTz9donX5wx/+oL/+9a/avn27QkJC1Lt3b126dMn5+YULFzRjxgy99dZb+v777xUSEqInn3xSO3bs0Oeff66tW7fKMAzFxcUVmu61117Thx9+qNWrV2vDhg165JFHlJqaqtTUVL333nt688039cknn7jU85e//EX33nuvdu3apYkTJ+rFF1/U2rVrJUnbt2+XJC1ZskR2u935HgAAoNwZtwhJxqefflpsn3HjxhlNmzZ1aRs5cqRx//33l3g52dnZhiQjOzu70GcXL1409u3bZ1y8eNH1g3r1DEO68s/KUIblderUyXjhhReM5cuXG0FBQUZOTk6x/ZcsWWJYrVbn+/T0dEOSMX/+/BsuKy4uznjppZcMwzCMnJwcw9fX11i8eHGRfa/Od9OmTUa3bt2Mdu3aGWfOnHF+3qFDB+PPf/6zyzTvvfeeYbPZnO8lGYmJiTes66qvv/7akGR8+OGHzrasrCzD39/fSElJMQzjyvpLMtLS0px9fvzxR0OS8e233zrbTp06Zfj7+xsfffSRy3Q//fSTs8/IkSONgIAA4+zZs8622NhYY+TIkc73ERERRs+ePV3qHDBggPHggw+6rOeN/hswjGK2UwAAYGrF7edeq0qd8Lx161b16NHDpS02NlY7duxw+YX2Wnl5ecrJyXF53c66d++uiIgIRUZGasiQIVq2bJkuXLhQ4uljYmJc3hcUFGj69Om69957VatWLVWvXl1fffWVjh49Kknav3+/8vLy1LVr12LnO3DgQJ07d05fffWVrFars33nzp2aNm2aqlev7nwNHz5cdrvdpe7f1lUSbdq0cf5ds2ZNNWnSRPv373e2+fj46N5773W+379/v7y8vNS6dWtnW61atQpNFxAQoEaNGjnfh4aGqkGDBqpevbpL28mTJ69bz9X3184XAACgMlSpAJCZmVno1JLQ0FBdvnxZp06dKnKaGTNmyGq1Ol/h4eGVUarbBAYGateuXUpOTpbNZlNSUpJatGihM2fOlGj6atWqubyfM2eO5s2bp3Hjxmn9+vVKS0tTbGys8vPzJRW+cPh64uLitGfPHn333Xcu7Q6HQ1OnTlVaWprztXfvXh08eFB+fn7Xrausrr0Tkr+/v8t7wzCKnMYwDJd+v70A2WKxFNnmKMGdnG50ZyYAAIDyVuXuAvTbHaarO23X25GaOHGixowZ43yfk5Nz24cALy8vdevWTd26ddPkyZMVHBys9evX65FHHin1vDZt2qQ+ffpo8ODBkq7ssB88eFDNmjWTJEVFRcnf31/r1q3TM888c935PPvss2revLl69+6tVatWqVOnTpKkVq1a6cCBA2rcuHEZ1rR43333nerXry9JOn36tH788Uc1bdr0uv3vuusuXb58Wdu2bVPbtm0lSVlZWfrxxx+d63uz9fz2/bX1eHt7u1w4DNwW3PUgRQBwp1v8Ya5VKgDUqVNHmb/5H8nJkyfl5eWlWrVqFTmNr6+vfH19y6cAu/3KLTor2jW36yytlStX6ueff1bHjh1Vo0YNpaamyuFwqEmTJmWaX+PGjbV8+XJt2bJFNWrU0Ny5c5WZmencIfbz89P48eM1btw4+fj4qF27dvrll1/0/fffa9iwYS7zunpnnPj4eH355Zdq3769kpKSFB8fr/DwcPXr108eHh7as2eP9u7de8O7/dzItGnTVKtWLYWGhmrSpEmqXbt2sffYj4qKUp8+fTR8+HAtWrRIgYGBmjBhgurVq6c+ffrcVC2S9O2332r27Nnq27ev1q5dq48//lirVq1yft6gQQOtW7dO7dq1k6+vr2rUqHHTywTcLWbP28q8VPT3MwDcruqczNKtu/tfxQJAmzZt9MUXX7i0ffXVV4qJiamc+9U7HLf8E4GDg4O1YsUKTZkyRbm5uYqKilJycrLuvvvuMs3v5ZdfVnp6umJjYxUQEKARI0aob9++ys7Odunj5eWlpKQknThxQjabTQkJCUXOLzExUQ6HQ3FxcVq9erViY2O1cuVKTZs2TbNnz5a3t7eaNm1a7NGEkpo5c6ZeeOEFHTx4UC1atNDnn38uHx+fYqdZsmSJXnjhBcXHxys/P18dO3ZUampquWxfL730knbu3KmpU6cqMDBQc+bMUWxsrPPzOXPmaMyYMVq8eLHq1aunw4cP3/QyAXfLLAhRhirhAYoAcCsp8HR3BcWyGNc78bkSnDt3Tj/99JMk6b777tPcuXPVpUsX1axZU/Xr19fEiROVkZGhd999V9KV24A2b95cI0eO1PDhw7V161YlJCQoOTlZjz76aImWmZOTI6vVquzsbAUFBbl8lpubq/T0dDVs2NDl/HO3HcK+xQ8f3ao2bNigLl266PTp0woODnZ3OZKu/LqfmJjofFbDzbjudgrcgsI87cpw2OShAtnq3dr/QwSAm2XPKJBDnqrnYdfxgsr/8aO4/dxrufUIwI4dO9SlSxfn+6vn6g8dOlRLly6V3W533m1Gkho2bKjU1FS9+OKL+vvf/666devqtddeK/HO/00UWrHzB4DbnM3jpI4f50gAgNtbmOdJZThu/e86twaAzp07X/fOK9KVp67+VqdOnbRr164KrAq3uoSEBL3//vtFfjZ48GA9/vjjlVwRAABA1VGlrgEApCsX944dO7bIz4KCghQSElJssHQHzucHAAC3CgIAqpyQkBCFhIS4uwwAAIAqqUo9CAwAAADAzSEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADAR7gJUAlXhQcCdO3dWy5YtNX/+/AqtqbQOHz6shg0bavfu3WrZsqW7ywEAADA9AkAJZGZKGRnurqJ4K1askLe3d7F9LBZLsZ9ffQJzVbdhwwZ16dJFp0+fVnBwsLvLAQAAuKUQAErBw0OyVcLTne12yeEo3TQ1a9YswXztzr9TUlKUlJSkAwcOONv8/f1d+l+6dOmGocIdbtW6AAAAqgKuASgFm006frziX2UJGZ07d1ZiYqIkacGCBYqKipKfn59CQ0P12GOPSZLq1KnjfFmtVlksFuf73NxcBQcH66OPPlLnzp3l5+en999/X1lZWRo4cKDCwsIUEBCge+65R8nJyS7LdjgcmjVrlho3bixfX1/Vr19f06dPL7JOh8Oh4cOH684779SRI0ckSV988YWio6Pl5+enyMhITZ06VZcvX3ZOY7FY9MYbb6hPnz6qVq2aXnnlleuOw+HDh9WlSxdJUo0aNWSxWPTkk09KklavXq327dsrODhYtWrVUnx8vA4dOuScdsOGDbJYLDpz5oyzLS0tTRaLhSf5AgCA2wZHAG4zO3bs0OjRo/Xee++pbdu2+vXXX7Vp06YSTz9+/HjNmTNHS5Yska+vr3JzcxUdHa3x48crKChIq1at0pAhQxQZGanWrVtLkiZOnKjFixdr3rx5at++vex2u3744YdC887Pz9egQYN06NAhbd68WSEhIVqzZo0GDx6s1157TR06dNChQ4c0YsQISdLkyZOd006ePFkzZszQvHnz5Onped36w8PDtXz5cj366KM6cOCAgoKCnEc2zp8/rzFjxuiee+7R+fPnlZSUpIcfflhpaWny8CALAwAAcyAA3GaOHj2qatWqKT4+XoGBgYqIiNB9991X4ukTExP1yCOPuLSNHTvW+feoUaO0evVqffzxx2rdurXOnj2rV199Va+//rqGDh0qSWrUqJHat2/vMo9z586pV69eunjxojZs2CCr1SpJmj59uiZMmOCcNjIyUn/60580btw4lwAwaNAgPf300zes39PT03k6VEhIiMs1AI8++qhL37ffflshISHat2+fmjdvfsN5AwAA3A4IALeZ7t27KyIiQpGRkerZs6d69uyphx9+WAEBASWaPiYmxuV9QUGBZs6cqZSUFGVkZCgvL095eXmqVq2aJGn//v3Ky8tT165di53v1dOI1q1b51LLzp07tX37dpdThgoKCpSbm6sLFy44+/62rrI4dOiQXn75ZX333Xc6deqUHP97ocXRo0cJAAAAwDQ47+E2ExgYqF27dik5OVk2m01JSUlq0aKFy3ntxbm6Y3/VnDlzNG/ePI0bN07r169XWlqaYmNjlZ+fL6nwhcPXExcXpz179ui7775zaXc4HJo6darS0tKcr7179+rgwYPy8/O7bl1l8dBDDykrK0uLFy/Wtm3btG3bNklyrsvV04AMw3BOc+nSpZteLgAAwK2EAHAb8vLyUrdu3TR79mzt2bNHhw8f1vr168s0r02bNqlPnz4aPHiwWrRoocjISB08eND5eVRUlPz9/bVu3bpi5/Pss89q5syZ6t27tzZu3Ohsb9WqlQ4cOKDGjRsXepX1vHwfHx9JV44kXJWVlaX9+/fr//2//6euXbuqWbNmOn36tMt0d9xxhyTXuyWlpaWVqQYAAIBbFacAlYLdLoWFVc5yymrlypX6+eef1bFjR9WoUUOpqalyOBxq0qRJmebXuHFjLV++XFu2bFGNGjU0d+5cZWZmqlmzZpIkPz8/jR8/XuPGjZOPj4/atWunX375Rd9//72GDRvmMq9Ro0apoKBA8fHx+vLLL9W+fXslJSUpPj5e4eHh6tevnzw8PLRnzx7t3bu32Lv9FCciIkIWi0UrV65UXFyc/P39VaNGDdWqVUtvvvmmbDabjh49qgkTJhRa1/DwcE2ZMkWvvPKKDh48qDlz5pSpBgAAgFsVAaAUHI5b/4FgwcHBWrFihaZMmaLc3FxFRUUpOTlZd999d5nm9/LLLys9PV2xsbEKCAjQiBEj1LdvX2VnZ7v08fLyUlJSkk6cOCGbzaaEhIQi55eYmCiHw6G4uDitXr1asbGxWrlypaZNm6bZs2fL29tbTZs21TPPPFOmeiWpXr16mjp1qiZMmKCnnnpKTzzxhJYuXaoPP/xQo0ePVvPmzdWkSRO99tpr6ty5s3M6b29vJScn69lnn1WLFi30H//xH3rllVfUr1+/MtcCAABwq7EY157wbAI5OTmyWq3Kzs5WUFCQy2e5ublKT09Xw4YNXc4/j4m58jTgylanjrRjR+UvF7e2622nwK0ozNOuDIdN9TzsOl5QCU9SBAA3cvd3XnH7udfiCEAJsBMOAACA2wUXAaPKSUhIUPXq1Yt8Xe/UIwAAAFzBEQBUOdOmTXN5ONm1ijvcBQAAAAIAqqCQkBCFhIS4uwwAAIAqiVOAAAAAABMhAAAAAAAmQgAAAAAATIQAAAAAAJgIAQAAAAAwEe4CVAIxb8Yo81zlPwq4TvU62jGiZE8h69y5s1q2bKn58+dXbFGldPjwYTVs2FC7d+9Wy5YtK2WZGzZsUJcuXXT69GkFBwdLkj777DONHTtW6enpGjVq1C03TgAAAJWFAFACmecylXE2w91lFGvFihXy9vYuto/FYin286FDh2rp0qXlWNWtY+TIkXrqqac0evRoBQYGurscAAAAtyEAlIKHxUO26rYKX479nF0Ow1GqaWrWrHnj+drtzr9TUlKUlJSkAwcOONv8/f1d+l+6dOmGocIdSlvXuXPndPLkScXGxqpu3boVWBkAAMCtjwBQCrbqNh0fc7zClxM2N6zURxyuPQVowYIFmjdvno4dOyar1aoOHTrok08+UZ06dZz9rVarLBaLs+3w4cOy2WxKSUnRggUL9N1332nhwoXq3bu3nn/+eW3atEm//vqrGjVqpD/+8Y8aOHCgc14Oh0N/+ctftHjxYh07dkyhoaEaOXKkJk2aVKhOh8OhkSNHauPGjVq7dq0iIiL0xRdfaMqUKfr+++9Vt25dDR06VJMmTZKX15XN02KxaOHChfryyy/1j3/8Q2PHjtXUqVNLNC5XTweSpAceeECS9PXXX6tz586lGl8AAIDbBQHgNrNjxw6NHj1a7733ntq2batff/1VmzZtKvH048eP15w5c7RkyRL5+voqNzdX0dHRGj9+vIKCgrRq1SoNGTJEkZGRat26tSRp4sSJWrx4sebNm6f27dvLbrfrhx9+KDTv/Px8DRo0SIcOHdLmzZsVEhKiNWvWaPDgwXrttdfUoUMHHTp0SCNGjJAkTZ482Tnt5MmTNWPGDM2bN0+enp4lXp+2bdvqwIEDatKkiZYvX662bduW6GgJAADA7YoAcJs5evSoqlWrpvj4eAUGBioiIkL33XdfiadPTEzUI4884tI2duxY59+jRo3S6tWr9fHHH6t169Y6e/asXn31Vb3++usaOnSoJKlRo0Zq3769yzzOnTunXr166eLFi9qwYYOsVqskafr06ZowYYJz2sjISP3pT3/SuHHjXALAoEGD9PTTT5duMCT5+PgoJCRE0pXTpK49CgIAAGBGBIDbTPfu3RUREaHIyEj17NlTPXv21MMPP6yAgIASTR8TE+PyvqCgQDNnzlRKSooyMjKUl5envLw8VatWTZK0f/9+5eXlqWvXrsXOd+DAgQoLC9O6detcatm5c6e2b9+u6dOnuywzNzdXFy5ccPb9bV0AAAAoG54DcJsJDAzUrl27lJycLJvNpqSkJLVo0UJnzpwp0fRXd+yvmjNnjubNm6dx48Zp/fr1SktLU2xsrPLz8yUVvnD4euLi4rRnzx599913Lu0Oh0NTp05VWlqa87V3714dPHhQfn5+160LAAAAZUMAuA15eXmpW7dumj17tvbs2aPDhw9r/fr1ZZrXpk2b1KdPHw0ePFgtWrRQZGSkDh486Pw8KipK/v7+WrduXbHzefbZZzVz5kz17t1bGzdudLa3atVKBw4cUOPGjQu9PDzYPAEAAMobpwCVgv2cXWFzwyplOWW1cuVK/fzzz+rYsaNq1Kih1NRUORwONWnSpEzza9y4sZYvX64tW7aoRo0amjt3rjIzM9WsWTNJkp+fn8aPH69x48bJx8dH7dq10y+//KLvv/9ew4YNc5nXqFGjVFBQoPj4eH355Zdq3769kpKSFB8fr/DwcPXr108eHh7as2eP9u7dq1deeaXM4wAAAICiEQBKwWE4bvkHggUHB2vFihWaMmWKcnNzFRUVpeTkZN19991lmt/LL7+s9PR0xcbGKiAgQCNGjFDfvn2VnZ3t0sfLy0tJSUk6ceKEbDabEhISipxfYmKiHA6H4uLitHr1asXGxmrlypWaNm2aZs+eLW9vbzVt2lTPPPNMmeoFAABA8SyGYRjuLqIy5eTkyGq1Kjs7W0FBQS6f5ebmKj09XQ0bNnQ5/zzmzRhlnsus7FJVp3od7Rixo9KXi1vb9bZT4FYU5mlXhsOmeh52HS+o+AcpAoA7ufs7r7j93GtxBKAE2AkHAADA7YKrLFHlJCQkqHr16kW+rnfqEQAAAK7gCACqnGnTprk8nOxaxR3uAgAAAAEAVVBISIjz6b4AAAAoHU4BAgAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARLgLUAnExMQoM9MNTwKuU0c7dpTsIWSdO3dWy5YtNX/+/IotqpQOHz6shg0bavfu3WrZsmWlLffbb79VQkKCfvjhB/Xq1UufffbZDad58skndebMmRL1BQAAqKoIACWQmZmpjIwMd5dRrBUrVsjb27vYPhaLpdjPhw4dqqVLl5ZjVe4zZswYtWzZUl9++aWqV6/u7nIAAABuGQSAUvDw8JDNZqvw5djtdjkcjlJNU7NmzRLN96qUlBQlJSXpwIEDzjZ/f3+X/pcuXbphqHCHktR16NAhJSQkKCwsrJKqAgAAqBq4BqAUbDabjh8/XuGvsoSMzp07KzExUZK0YMECRUVFyc/PT6GhoXrsscckXTml6OrLarXKYrE43+fm5io4OFgfffSROnfuLD8/P73//vvKysrSwIEDFRYWpoCAAN1zzz1KTk52WbbD4dCsWbPUuHFj+fr6qn79+po+fXqRdTocDg0fPlx33nmnjhw5Ikn64osvFB0dLT8/P0VGRmrq1Km6fPmycxqLxaI33nhDffr0UbVq1fTKK69cdxwOHz4si8WirKwsPf3007JYLFq6dKkKCgo0bNgwNWzYUP7+/mrSpIleffXVYsd0586dCgkJca5Ldna2RowYoZCQEAUFBemBBx7QP//5z+L/xQAAANxiOAJwm9mxY4dGjx6t9957T23bttWvv/6qTZs2lXj68ePHa86cOVqyZIl8fX2Vm5ur6OhojR8/XkFBQVq1apWGDBmiyMhItW7dWpI0ceJELV68WPPmzVP79u1lt9v1ww8/FJp3fn6+Bg0apEOHDmnz5s0KCQnRmjVrNHjwYL322mvq0KGDDh06pBEjRkiSJk+e7Jx28uTJmjFjhubNmydPT8/r1h8eHi673a4mTZpo2rRpGjBggKxWqxwOh8LCwvTRRx+pdu3a2rJli0aMGCGbzab+/fsXms+GDRvUt29fzZgxQ88++6wMw1CvXr1Us2ZNpaamymq1atGiReratat+/PHHEh2BAQAAuCUYJpOdnW1IMrKzswt9dvHiRWPfvn3GxYsXXdrr1atnSDLq1atXKTWWZXmdOnUyXnjhBWP58uVGUFCQkZOTU2z/JUuWGFar1fk+PT3dkGTMnz//hsuKi4szXnrpJcMwDCMnJ8fw9fU1Fi9eXGTfq/PdtGmT0a1bN6Ndu3bGmTNnnJ936NDB+POf/+wyzXvvvWfYbDbne0lGYmLiDeu6ltVqNZYsWVJsn+eee8549NFHne+HDh1q9OnTx/jss8+MwMBA44MPPnB+tm7dOiMoKMjIzc11mUejRo2MRYsWlaq2m3W97RS4FdXzOGFIV/4JALc7d3/nFbefey2OANxmunfvroiICEVGRqpnz57q2bOnHn74YQUEBJRo+piYGJf3BQUFmjlzplJSUpSRkaG8vDzl5eWpWrVqkqT9+/crLy9PXbt2LXa+V08jWrdunUstO3fu1Pbt211OGSooKFBubq4uXLjg7PvbusrijTfe0FtvvaUjR47o4sWLys/PL3Rnom3btmnlypX6+OOP9fDDD7vUee7cOdWqVcul/8WLF3Xo0KGbrg0AAKCyEABuM4GBgdq1a5c2bNigr776SklJSZoyZYq2b9+u4ODgG05/dcf+qjlz5mjevHmaP3++7rnnHlWrVk2JiYnKz8+XVPjC4euJi4vT+++/r++++04PPPCAs93hcGjq1Kl65JFHCk3j5+d33bpK66OPPtKLL76oOXPmqE2bNgoMDNRf/vIXbdu2zaVfo0aNVKtWLb3zzjvq1auXfHx8nHXabDZt2LCh0LxLMq4AAAC3CgLAbcjLy0vdunVTt27dNHnyZAUHB2v9+vVF7mTfyKZNm9SnTx8NHjxY0pUd4YMHD6pZs2aSpKioKPn7+2vdunV65plnrjufZ599Vs2bN1fv3r21atUqderUSZLUqlUrHThwQI0bNy7DmpZuPdq2bavnnnvO2VbUL/e1a9fWihUr1LlzZw0YMEAfffSRvL291apVK2VmZsrLy0sNGjSo0FoBAAAqEgGgFOx2e6XcVvLa23WW1sqVK/Xzzz+rY8eOqlGjhlJTU+VwONSkSZMyza9x48Zavny5tmzZoho1amju3LnKzMx0BgA/Pz+NHz9e48aNk4+Pj9q1a6dffvlF33//vYYNG+Yyr1GjRqmgoEDx8fH68ssv1b59eyUlJSk+Pl7h4eHq16+fPDw8tGfPHu3du7fYu/2UZT3effddrVmzRg0bNtR7772n7du3q2HDhoX6hoSEaP369erSpYsGDhyoDz/8UN26dVObNm3Ut29fzZo1S02aNNGJEyeUmpqqvn37lsspSgAAAJWBAFAKDofjln8gWHBwsFasWKEpU6YoNzdXUVFRSk5O1t13312m+b388stKT09XbGysAgICNGLECPXt21fZ2dkufby8vJSUlKQTJ07IZrMpISGhyPklJibK4XAoLi5Oq1evVmxsrFauXKlp06Zp9uzZ8vb2VtOmTYs9mlAWCQkJSktL04ABA2SxWDRw4EA999xz+vLLL4vsX6dOHa1fv16dO3fW73//e33wwQdKTU3VpEmT9PTTT+uXX35RnTp11LFjR4WGhpZrrQAAABXJYhiG4e4iKlNOTo6sVquys7MVFBTk8llubq7S09PVsGFDl/PPY2JilJmZWdmlqk6dOtqxY0elLxe3tuttp8CtKMzTrgyHTfU87DpeUPEPUgQAd3L3d15x+7nX4ghACbATDgAAgNsFTwJGlZOQkKDq1asX+breqUcAAAC4giMAqHKmTZumsWPHFvlZcYe7AAAAQABAFRQSEqKQkBB3lwEAAFAlcQpQEUx2XTSqGLZPAABwMwgA1/D29pYkXbhwwc2VANd3dfu8ur0CAACUBqcAXcPT01PBwcE6efKkJCkgIEAWi8XNVQFXGIahCxcu6OTJkwoODpanp6e7SwIAAFUQAeA36tSpI0nOEADcaoKDg53bKQAAQGkRAH7DYrHIZrMpJCREly5dcnc5gAtvb29++QcAADeFAHAdnp6e7GgBAADgtsNFwAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARtweABQsWqGHDhvLz81N0dLQ2bdpUbP9ly5apRYsWCggIkM1m01NPPaWsrKxKqhYAAACo2iyGYRjuWnhKSoqGDBmiBQsWqF27dlq0aJHeeust7du3T/Xr1y/Uf/PmzerUqZPmzZunhx56SBkZGUpISFBUVJQ+/fTTEi0zJydHVqtV2dnZCgoKKu9VAgBcw2dkC12qniUPOWSr5/bfnACgQtkzHHLIQ97nail/0T8rffkl3c91awBo3bq1WrVqpYULFzrbmjVrpr59+2rGjBmF+v/1r3/VwoULdejQIWfb3/72N82ePVvHjh0r0TIJAABQeTxfqitHkN3dZQBApfLIsalgzolKX25J93Pd9iTg/Px87dy5UxMmTHBp79Gjh7Zs2VLkNG3bttWkSZOUmpqqBx98UCdPntQnn3yiXr16VUbJAICycniontXm7ioAoEJlZNslD4e7y7ghtwWAU6dOqaCgQKGhoS7toaGhyszMLHKatm3batmyZRowYIByc3N1+fJl9e7dW3/729+uu5y8vDzl5eU53+fk5JTPCgAASszjXKiOTz3u7jIAoEJVlaOebj8h02KxuLw3DKNQ21X79u3T6NGjlZSUpJ07d2r16tVKT09XQkLCdec/Y8YMWa1W5ys8PLxc6wcAAACqErcFgNq1a8vT07PQr/0nT54sdFTgqhkzZqhdu3b6wx/+oHvvvVexsbFasGCB3nnnHdntRaetiRMnKjs72/kq6bUCAAAAwO3IbQHAx8dH0dHRWrt2rUv72rVr1bZt2yKnuXDhgjw8XEv29PSUdOXIQVF8fX0VFBTk8gIAAADMyq2nAI0ZM0ZvvfWW3nnnHe3fv18vvviijh496jylZ+LEiXriiSec/R966CGtWLFCCxcu1M8//6xvv/1Wo0eP1u9+9zvVrVvXXasBAAAAVBluuwhYkgYMGKCsrCxNmzZNdrtdzZs3V2pqqiIiIiRJdrtdR48edfZ/8skndfbsWb3++ut66aWXFBwcrAceeECzZs1y1yoAAAAAVYpbnwPgDjwHAAAqz9U7YrjrntgAUJnc/Z1X0v1ct98FCAAAAEDlIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBEvdxdgNjExMcrMzHR3GQBQKRzZ/5YskiPglDTH3dUAACQCQKXLzMxURkaGu8sAgMplFLi7AgDA/yIAuImHh4dsNpu7ywCACpVxIkMy3F0FAOBaBAA3sdlsOn78uLvLAIAKZQn0lM453F0GAOAaXAQMAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJuD0ALFiwQA0bNpSfn5+io6O1adOmYvvn5eVp0qRJioiIkK+vrxo1aqR33nmnkqoFAAAAqjYvdy48JSVFiYmJWrBggdq1a6dFixbpwQcf1L59+1S/fv0ip+nfv7/+/e9/6+2331bjxo118uRJXb58uZIrBwAAAKomtwaAuXPnatiwYXrmmWckSfPnz9eaNWu0cOFCzZgxo1D/1atXa+PGjfr5559Vs2ZNSVKDBg0qs2QAAACgSnPbKUD5+fnauXOnevTo4dLeo0cPbdmypchpPv/8c8XExGj27NmqV6+e7rzzTo0dO1YXL1687nLy8vKUk5Pj8gIAAADMym1HAE6dOqWCggKFhoa6tIeGhiozM7PIaX7++Wdt3rxZfn5++vTTT3Xq1Ck999xz+vXXX697HcCMGTM0derUcq8fAAAAqIrcfhGwxWJxeW8YRqG2qxwOhywWi5YtW6bf/e53iouL09y5c7V06dLrHgWYOHGisrOzna9jx46V+zoAAAAAVYXbjgDUrl1bnp6ehX7tP3nyZKGjAlfZbDbVq1dPVqvV2dasWTMZhqHjx48rKiqq0DS+vr7y9fUt3+IBAACAKsptRwB8fHwUHR2ttWvXurSvXbtWbdu2LXKadu3a6cSJEzp37pyz7ccff5SHh4fCwsIqtF4AAADgduDWU4DGjBmjt956S++8847279+vF198UUePHlVCQoKkK6fvPPHEE87+gwYNUq1atfTUU09p3759+uabb/SHP/xBTz/9tPz9/d21GgAAAECV4dbbgA4YMEBZWVmaNm2a7Ha7mjdvrtTUVEVEREiS7Ha7jh496uxfvXp1rV27VqNGjVJMTIxq1aql/v3765VXXnHXKgAAAABVisUwDMPdRVSmnJwcWa1WZWdnKygoqNKXHxYWpoyMDNWrV0/Hjx+v9OUDQGWyBHpK5xxSdQ8ZZwvcXQ4AVCjPl+rKEWSXR45NBXNOVPryS7qf6/a7AAEAAACoPAQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMpFwCQEFBgdLS0nT69OnymB0AAACAClKmAJCYmKi3335b0pWd/06dOqlVq1YKDw/Xhg0byrM+AAAAAOWoTAHgk08+UYsWLSRJX3zxhdLT0/XDDz8oMTFRkyZNKtcCAQAAAJSfMgWAU6dOqU6dOpKk1NRU9evXT3feeaeGDRumvXv3lmuBAAAAAMpPmQJAaGio9u3bp4KCAq1evVrdunWTJF24cEGenp7lWiAAAACA8uNVlomeeuop9e/fXzabTRaLRd27d5ckbdu2TU2bNi3XAgEAAACUnzIFgClTpqh58+Y6duyY+vXrJ19fX0mSp6enJkyYUK4FAgAAACg/ZQoA7777rgYMGODc8b9q4MCB+vDDD8ulMAAAAADlr0zXADz11FPKzs4u1H727Fk99dRTN10UAAAAgIpRpgBgGIYsFkuh9uPHj8tqtd50UQAAAAAqRqlOAbrvvvtksVhksVjUtWtXeXn93+QFBQVKT09Xz549y71IAAAAAOWjVAGgb9++kqS0tDTFxsaqevXqzs98fHzUoEEDPfroo+VaIAAAAIDyU6oAMHnyZElSgwYNNGDAAPn5+VVIUQAAAAAqRpnuAjR06FBJUn5+vk6ePCmHw+Hyef369W++MgAAAADlrkwB4ODBg3r66ae1ZcsWl/arFwcXFBSUS3EAAAAAyleZAsCTTz4pLy8vrVy50vk0YAAAAAC3vjIFgLS0NO3cuVNNmzYt73oAAAAAVKAyPQfgrrvu0qlTp8q7FgAAAAAVrEwBYNasWRo3bpw2bNigrKws5eTkuLwAAAAA3JrKdApQt27dJEldu3Z1aeciYAAAAODWVqYA8PXXX5d3HQAAAAAqQZkCQKdOncq7DgAAAACVoEzXAEjSpk2bNHjwYLVt21YZGRmSpPfee0+bN28ut+IAAAAAlK8yBYDly5crNjZW/v7+2rVrl/Ly8iRJZ8+e1Z///OdyLRAAAABA+SlTAHjllVf0xhtvaPHixfL29na2t23bVrt27Sq34gAAAACUrzIFgAMHDqhjx46F2oOCgnTmzJmbrQkAAABABSlTALDZbPrpp58KtW/evFmRkZE3XRQAAACAilGmADBy5Ei98MIL2rZtmywWi06cOKFly5Zp7Nixeu6558q7RgAAAADlpEy3AR03bpyys7PVpUsX5ebmqmPHjvL19dXYsWP1/PPPl3eNAAAAAMpJmQKAJE2fPl2TJk3Svn375HA4dNddd6l69erlWRsAAACAclamU4D+67/+S+fPn1dAQIBiYmL0u9/9jp1/AAAAoAooUwAYO3asQkJC9Pjjj2vlypW6fPlyedcFAAAAoAKUKQDY7XalpKTI09NTjz/+uGw2m5577jlt2bKlvOsDAAAAUI7KFAC8vLwUHx+vZcuW6eTJk5o/f76OHDmiLl26qFGjRuVdIwAAAIByUuaLgK8KCAhQbGysTp8+rSNHjmj//v3lURcAAACAClCmIwCSdOHCBS1btkxxcXGqW7eu5s2bp759++pf//pXedYHAAAAoByV6QjAwIED9cUXXyggIED9+vXThg0b1LZt2/KuDQAAAEA5K1MAsFgsSklJUWxsrLy8bvosIgAAAACVpFSnAMXFxSk7O1sffPCBevXqpVmzZunMmTPOz7OysnTXXXeVd40AAAAAykmpAsCaNWuUl5fnfD9r1iz9+uuvzveXL1/WgQMHyq86AAAAAOWqVAHAMIxi3wMAAAC4tZX5LkAAAAAAqp5SBQCLxSKLxVKoDQAAAEDVUKpb+BiGoSeffFK+vr6SpNzcXCUkJKhatWqS5HJ9AAAAAIBbT6kCwNChQ13eDx48uFCfJ5544uYqAgAAAFBhShUAlixZUlF1AAAAAKgEXAQMAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmIjbA8CCBQvUsGFD+fn5KTo6Wps2bSrRdN9++628vLzUsmXLii0QAAAAuI24NQCkpKQoMTFRkyZN0u7du9WhQwc9+OCDOnr0aLHTZWdn64knnlDXrl0rqVIAAADg9uDWADB37lwNGzZMzzzzjJo1a6b58+crPDxcCxcuLHa6kSNHatCgQWrTpk0lVQoAAADcHtwWAPLz87Vz50716NHDpb1Hjx7asmXLdadbsmSJDh06pMmTJ5doOXl5ecrJyXF5AQAAAGbltgBw6tQpFRQUKDQ01KU9NDRUmZmZRU5z8OBBTZgwQcuWLZOXl1eJljNjxgxZrVbnKzw8/KZrBwAAAKoqt18EbLFYXN4bhlGoTZIKCgo0aNAgTZ06VXfeeWeJ5z9x4kRlZ2c7X8eOHbvpmgEAAICqqmQ/o1eA2rVry9PTs9Cv/SdPnix0VECSzp49qx07dmj37t16/vnnJUkOh0OGYcjLy0tfffWVHnjggULT+fr6ytfXt2JWAgAAAKhi3HYEwMfHR9HR0Vq7dq1L+9q1a9W2bdtC/YOCgrR3716lpaU5XwkJCWrSpInS0tLUunXryiodAAAAqLLcdgRAksaMGaMhQ4YoJiZGbdq00ZtvvqmjR48qISFB0pXTdzIyMvTuu+/Kw8NDzZs3d5k+JCREfn5+hdoBAAAAFM2tAWDAgAHKysrStGnTZLfb1bx5c6WmpioiIkKSZLfbb/hMAAAAAAAlZzEMw3B3EZUpJydHVqtV2dnZCgoKqvTlh4WFKSMjQ/Xq1dPx48crffkAUJksgZ7SOYdU3UPG2QJ3lwMAFcrzpbpyBNnlkWNTwZwTlb78ku7nuv0uQAAAAAAqDwEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARLzcXQAAwATOOxQWFubuKgCgQjmy/y1ZJEfAKWmOu6u5PgIAAKDiGVJGRoa7qwCAymEUuLuCYhEAAAAVp5qnZHFIhofqWW3urgYAKlTGiQzJcHcVN0YAAABUGI/f15YjyC6PnFAdn3Pc3eUAQIWyBHpK5xzuLuOGuAgYAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAAACYCAEAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATcXsAWLBggRo2bCg/Pz9FR0dr06ZN1+27YsUKde/eXXfccYeCgoLUpk0brVmzphKrBQAAAKo2twaAlJQUJSYmatKkSdq9e7c6dOigBx98UEePHi2y/zfffKPu3bsrNTVVO3fuVJcuXfTQQw9p9+7dlVw5AAAAUDVZDMMw3LXw1q1bq1WrVlq4cKGzrVmzZurbt69mzJhRonncfffdGjBggJKSkkrUPycnR1arVdnZ2QoKCipT3TcjLCxMGRkZqlevno4fP17pyweAyuT5Ul05guzyyLGpYM4Jd5cDABXKEugpnXNI1T1knC2o9OWXdD/XbUcA8vPztXPnTvXo0cOlvUePHtqyZUuJ5uFwOHT27FnVrFnzun3y8vKUk5Pj8gIAAADMym0B4NSpUyooKFBoaKhLe2hoqDIzM0s0jzlz5uj8+fPq37//dfvMmDFDVqvV+QoPD7+pugEAAICqzO0XAVssFpf3hmEUaitKcnKypkyZopSUFIWEhFy338SJE5Wdne18HTt27KZrBgAAAKoqL3ctuHbt2vL09Cz0a//JkycLHRX4rZSUFA0bNkwff/yxunXrVmxfX19f+fr63nS95eXk+ZOSJPs5u8Lmhrm5GgCoWI7q/3Z3CQCA33BbAPDx8VF0dLTWrl2rhx9+2Nm+du1a9enT57rTJScn6+mnn1ZycrJ69epVGaWWqwLjygUhDodDGWcz3FwNAFQwtx9nBgD8ltsCgCSNGTNGQ4YMUUxMjNq0aaM333xTR48eVUJCgqQrp+9kZGTo3XfflXRl5/+JJ57Qq6++qvvvv9959MDf319Wq9Vt61EmFqleYD13VwEAFcqe4ZBDHvI8V8vdpQAA/pdbA8CAAQOUlZWladOmyW63q3nz5kpNTVVERIQkyW63uzwTYNGiRbp8+bL+8z//U//5n//pbB86dKiWLl1a2eXfFA+Lh46P4TagAG5vYZ52ZThsCvGwS4vcXQ0AQHLzcwDcwd3PAfAM9pQj2yEPq4cKzlT+/WEBoDJdDQD1POw6XmBzdzkAUKF4DgAAAACAWw4BAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAE/FydwELFizQX/7yF9ntdt19992aP3++OnTocN3+Gzdu1JgxY/T999+rbt26GjdunBISEiqx4pvjKPi/f4aFubcWAKhodkeIu0sAAPyGWwNASkqKEhMTtWDBArVr106LFi3Sgw8+qH379ql+/fqF+qenpysuLk7Dhw/X+++/r2+//VbPPfec7rjjDj366KNuWIObk5Hh7goAoKJ5ursAAMBvWAzDMNy18NatW6tVq1ZauHChs61Zs2bq27evZsyYUaj/+PHj9fnnn2v//v3OtoSEBP3zn//U1q1bS7TMnJwcWa1WZWdnKygo6OZXopQsgZ7SOYdU3UP1zh2p9OUDgDvU8c7SjvwW7i4DACrUtft5xtmCSl9+Sfdz3XYEID8/Xzt37tSECRNc2nv06KEtW7YUOc3WrVvVo0cPl7bY2Fi9/fbbunTpkry9vQtNk5eXp7y8POf77OxsSVcGyC2u5i3D0D7b79xTAwBUttBQ5eRsdHcVAFCxrtnPc8e+5tVl3uj3fbcFgFOnTqmgoEChoaEu7aGhocrMzCxymszMzCL7X758WadOnZLNZis0zYwZMzR16tRC7eHh4TdRfTk4b8h63u7eGgCgstjtktXq7ioAoHKcN2R143fe2bNni12+2y8CtlgsLu8NwyjUdqP+RbVfNXHiRI0ZM8b53uFw6Ndff1WtWrWKXU5FycnJUXh4uI4dO+aWU5CqMsbu5jB+ZcfYlR1jV3aM3c1h/MqOsSs7d4+dYRg6e/as6tatW2w/twWA2rVry9PTs9Cv/SdPniz0K/9VderUKbK/l5eXatWqVeQ0vr6+8vX1dWkLDg4ue+HlJCgoiP+oyoixuzmMX9kxdmXH2JUdY3dzGL+yY+zKzp1jV5IjD257DoCPj4+io6O1du1al/a1a9eqbdu2RU7Tpk2bQv2/+uorxcTEFHn+PwAAAABXbn0Q2JgxY/TWW2/pnXfe0f79+/Xiiy/q6NGjzvv6T5w4UU888YSzf0JCgo4cOaIxY8Zo//79euedd/T2229r7Nix7loFAAAAoEpx6zUAAwYMUFZWlqZNmya73a7mzZsrNTVVERERkiS73a6jR486+zds2FCpqal68cUX9fe//11169bVa6+9VqWeAeDr66vJkycXOi0JN8bY3RzGr+wYu7Jj7MqOsbs5jF/ZMXZlV1XGzq3PAQAAAABQudx6ChAAAACAykUAAAAAAEyEAAAAAACYCAEAAAAAMBECQDk7ffq0hgwZIqvVKqvVqiFDhujMmTPFTvPkk0/KYrG4vO6//36XPnl5eRo1apRq166tatWqqXfv3jp+/HgFrol7lHb8Ll26pPHjx+uee+5RtWrVVLduXT3xxBM6ceKES7/OnTsXGuPHH3+8gtemYi1YsEANGzaUn5+foqOjtWnTpmL7b9y4UdHR0fLz81NkZKTeeOONQn2WL1+uu+66S76+vrrrrrv06aefVlT5blWasVuxYoW6d++uO+64Q0FBQWrTpo3WrFnj0mfp0qWFti+LxaLc3NyKXhW3KM34bdiwocix+eGHH1z6se0VVtT/GywWi+6++25nH7Nse998840eeugh1a1bVxaLRZ999tkNp+E774rSjh3fef+ntGNXlb7vCADlbNCgQUpLS9Pq1au1evVqpaWlaciQITecrmfPnrLb7c5Xamqqy+eJiYn69NNP9eGHH2rz5s06d+6c4uPjVVBQUFGr4halHb8LFy5o165devnll7Vr1y6tWLFCP/74o3r37l2o7/Dhw13GeNGiRRW5KhUqJSVFiYmJmjRpknbv3q0OHTrowQcfdLlt7rXS09MVFxenDh06aPfu3frjH/+o0aNHa/ny5c4+W7du1YABAzRkyBD985//1JAhQ9S/f39t27atslarUpR27L755ht1795dqamp2rlzp7p06aKHHnpIu3fvdukXFBTksn3Z7Xb5+flVxipVqtKO31UHDhxwGZuoqCjnZ2x7RY/dq6++6jJmx44dU82aNdWvXz+XfmbY9s6fP68WLVro9ddfL1F/vvP+T2nHju+8/1PasbuqSnzfGSg3+/btMyQZ3333nbNt69athiTjhx9+uO50Q4cONfr06XPdz8+cOWN4e3sbH374obMtIyPD8PDwMFavXl0utd8Kyjp+v/U///M/hiTjyJEjzrZOnToZL7zwQnmW61a/+93vjISEBJe2pk2bGhMmTCiy/7hx44ymTZu6tI0cOdK4//77ne/79+9v9OzZ06VPbGys8fjjj5dT1beG0o5dUe666y5j6tSpzvdLliwxrFZreZV4Syvt+H399deGJOP06dPXnSfbXsm2vU8//dSwWCzG4cOHnW1m2vaukmR8+umnxfbhO69oJRm7opj5O++qkoxdVfq+4whAOdq6dausVqtat27tbLv//vtltVq1ZcuWYqfdsGGDQkJCdOedd2r48OE6efKk87OdO3fq0qVL6tGjh7Otbt26at68+Q3nW5XczPhdKzs7WxaLRcHBwS7ty5YtU+3atXX33Xdr7NixOnv2bHmVXqny8/O1c+dOl+1Bknr06HHdcdq6dWuh/rGxsdqxY4cuXbpUbJ/baRsry9j9lsPh0NmzZ1WzZk2X9nPnzikiIkJhYWGKj48v9GvZ7eBmxu++++6TzWZT165d9fXXX7t8xrZXsvV8++231a1bN+fDMq8yw7ZXWnznlR8zf+eVVVX4viMAlKPMzEyFhIQUag8JCVFmZuZ1p3vwwQe1bNkyrV+/XnPmzNH27dv1wAMPKC8vzzlfHx8f1ahRw2W60NDQYudb1ZR1/K6Vm5urCRMmaNCgQQoKCnK2//73v1dycrI2bNigl19+WcuXL9cjjzxSbrVXplOnTqmgoEChoaEu7cVtD5mZmUX2v3z5sk6dOlVsn9tpGyvL2P3WnDlzdP78efXv39/Z1rRpUy1dulSff/65kpOT5efnp3bt2ungwYPlWr+7lWX8bDab3nzzTS1fvlwrVqxQkyZN1LVrV33zzTfOPmx7N15Pu92uL7/8Us8884xLu1m2vdLiO6/8mPk7r7Sq0vedV6UurYqaMmWKpk6dWmyf7du3S5IsFkuhzwzDKLL9qgEDBjj/bt68uWJiYhQREaFVq1YVu5N6o/neKip6/K66dOmSHn/8cTkcDi1YsMDls+HDhzv/bt68uaKiohQTE6Ndu3apVatWJVmNW85vx+RG41RU/9+2l3aeVVVZ1zM5OVlTpkzRf//3f7uE1fvvv9/lwv127dqpVatW+tvf/qbXXnut/Aq/RZRm/Jo0aaImTZo437dp00bHjh3TX//6V3Xs2LFM86zKyrqeS5cuVXBwsPr27evSbrZtrzT4zrt5fOeVTlX6viMAlMDzzz9/wzvGNGjQQHv27NG///3vQp/98ssvhdJecWw2myIiIpxJuk6dOsrPz9fp06ddjgKcPHlSbdu2LfF83aUyxu/SpUvq37+/0tPTtX79epdf/4vSqlUreXt76+DBg1UuANSuXVuenp6Ffi04efLkdcepTp06Rfb38vJSrVq1iu1Tmm33VleWsbsqJSVFw4YN08cff6xu3boV29fDw0P/8R//cdv9GnYz43et+++/X++//77zPdte8etpGIbeeecdDRkyRD4+PsX2vV23vdLiO+/m8Z1XPm7V7ztOASqB2rVrq2nTpsW+/Pz81KZNG2VnZ+t//ud/nNNu27ZN2dnZpdpRz8rK0rFjx2Sz2SRJ0dHR8vb21tq1a5197Ha7/vWvf1WJAFDR43d15//gwYP6xz/+4fxyL87333+vS5cuOce4KvHx8VF0dLTL9iBJa9euve44tWnTplD/r776SjExMfL29i62T1XYxkqqLGMnXfkV7Mknn9QHH3ygXr163XA5hmEoLS2tSm5fxSnr+P3W7t27XcaGba/49dy4caN++uknDRs27IbLuV23vdLiO+/m8J1Xfm7Z77tKveTYBHr27Gnce++9xtatW42tW7ca99xzjxEfH+/Sp0mTJsaKFSsMwzCMs2fPGi+99JKxZcsWIz093fj666+NNm3aGPXq1TNycnKc0yQkJBhhYWHGP/7xD2PXrl3GAw88YLRo0cK4fPlypa5fRSvt+F26dMno3bu3ERYWZqSlpRl2u935ysvLMwzDMH766Sdj6tSpxvbt24309HRj1apVRtOmTY377ruvyo7fhx9+aHh7extvv/22sW/fPiMxMdGoVq2a8+4gEyZMMIYMGeLs//PPPxsBAQHGiy++aOzbt894++23DW9vb+OTTz5x9vn2228NT09PY+bMmcb+/fuNmTNnGl5eXi53ZbodlHbsPvjgA8PLy8v4+9//7rJ9nTlzxtlnypQpxurVq41Dhw4Zu3fvNp566inDy8vL2LZtW6WvX0Ur7fjNmzfP+PTTT40ff/zR+Ne//mVMmDDBkGQsX77c2Ydtr+ixu2rw4MFG69ati5ynWba9s2fPGrt37zZ2795tSDLmzp1r7N6923m3N77zrq+0Y8d33v8p7dhVpe87AkA5y8rKMn7/+98bgYGBRmBgoPH73/++0O2gJBlLliwxDMMwLly4YPTo0cO44447DG9vb6N+/frG0KFDjaNHj7pMc/HiReP55583atasafj7+xvx8fGF+twOSjt+6enphqQiX19//bVhGIZx9OhRo2PHjkbNmjUNHx8fo1GjRsbo0aONrKysyl25cvb3v//diIiIMHx8fIxWrVoZGzdudH42dOhQo1OnTi79N2zYYNx3332Gj4+P0aBBA2PhwoWF5vnxxx8bTZo0Mby9vY2mTZu6fGndTkozdp06dSpy+xo6dKizT2JiolG/fn3Dx8fHuOOOO4wePXoYW7ZsqcQ1qlylGb9Zs2YZjRo1Mvz8/IwaNWoY7du3N1atWlVonmx7Rf93e+bMGcPf39948803i5yfWba9q7dXvN5/h3znXV9px47vvP9T2rGrSt93FsP436tiAAAAANz2uAYAAAAAMBECAAAAAGAiBAAAAADARAgAAAAAgIkQAAAAAAATIQAAAAAAJkIAAAAAAEyEAAAAJtK5c2clJia6u4xCDh8+LIvForS0NHeXAgC3PS93FwAAqDwrVqyQt7d3sX0sFkuxnw8dOlRLly4tx6oAAJWJAAAAJlKzZs0b9rHb7c6/U1JSlJSUpAMHDjjb/P39XfpfunTphqHCHW7VugDA3TgFCABM5NpTgBYsWKCoqCj5+fkpNDRUjz32mCSpTp06zpfVapXFYnG+z83NVXBwsD766CN17txZfn5+ev/995WVlaWBAwcqLCxMAQEBuueee5ScnOyybIfDoVmzZqlx48by9fVV/fr1NX369CLrdDgcGj58uO68804dOXJEkvTFF18oOjpafn5+ioyM1NSpU3X58mXnNBaLRW+88Yb69OmjatWq6ZVXXqmAEQSAqo8jAABgQjt27NDo0aP13nvvqW3btvr111+1adOmEk8/fvx4zZkzR0uWLJGvr69yc3MVHR2t8ePHKygoSKtWrdKQIUMUGRmp1q1bS5ImTpyoxYsXa968eWrfvr3sdrt++OGHQvPOz8/XoEGDdOjQIW3evFkhISFas2aNBg8erNdee00dOnTQoUOHNGLECEnS5MmTndNOnjxZM2bM0Lx58+Tp6XmTowQAtycCAACY0NGjR1WtWjXFx8crMDBQERERuu+++0o8fWJioh555BGXtrFjxzr/HjVqlFavXq2PP/5YrVu31tmzZ/Xqq6/q9ddf19ChQyVJjRo1Uvv27V3mce7cOfXq1UsXL17Uhg0bZLVaJUnTp0/XhAkTnNNGRkbqT3/6k8aNG+cSAAYNGqSnn366dIMBACZDAAAAE+revbsiIiIUGRmpnj17qmfPnnr44YcVEBBQouljYmJc3hcUFGjmzJlKSUlRRkaG8vLylJeXp2rVqkmS9u/fr7y8PHXt2rXY+V49jWjdunUutezcuVPbt293OWWooKBAubm5unDhgrPvb+sCABTGNQAAYEKBgYHatWuXkpOTZbPZlJSUpBYtWujMmTMlmv7qjv1Vc+bM0bx58zRu3DitX79eaWlpio2NVX5+vqTCFw5fT1xcnPbs2aPvvvvOpd3hcGjq1KlKS0tzvvbu3auDBw/Kz8/vunUBAAojAACASXl5ealbt26aPXu29uzZo8OHD2v9+vVlmtemTZvUp08fDR48WC1atFBkZKQOHjzo/DwqKkr+/v5at25dsfN59tlnNXPmTPXu3VsbN250trdq1UoHDhxQ48aNC708PPhfGQCUBqcAAYAJrVy5Uj///LM6duyoGjVqKDU1VQ6HQ02aNCnT/Bo3bqzly5dry5YtqlGjhubOnavMzEw1a9ZMkuTn56fx48dr3Lhx8vHxUbt27fTLL7/o+++/17Bhw1zmNWrUKBUUFCg+Pl5ffvml2rdvr6SkJMXHxys8PFz9+vWTh4eH9uzZo71793K3HwAoJQIAAJhQcHCwVqxYoSlTpig3N1dRUVFKTk7W3XffXab5vfzyy0pPT1dsbKwCAgI0YsQI9e3bV9nZ2S59vLy8lJSUpBMnTshmsykhIaHI+SUmJsrhcCguLk6rV69WbGysVq5cqWnTpmn27Nny9vZW06ZN9cwzz5SpXgAwM4thGIa7iwAAAABQOThxEgAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJEAAAAAAAEyEAAAAAACZCAAAAAABMhAAAAAAAmAgBAAAAADARAgAAAABgIgQAAAAAwEQIAAAAAICJ/H9iEk7c6+9DUAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvwAAAINCAYAAABClqszAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAABMOklEQVR4nO3deXxU9b3/8fckIYHsNyiZCaECCYsBLotRlljWsFyjNK1XEKsSrIIX+bGDRqyCbUE0EtJaUfz1F6kFCshSbfNTkBKu3IgFNLiExR8NCGFiFDABBCIz5/cHMmUISxLOMJmT1/PxmAfMWb7nM/nmwPuc+Z5zbIZhGAIAAABgSUH+LgAAAACA7xD4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCQvxdgK+53W4dPnxYUVFRstls/i4HAAAAMIVhGDp+/LgSEhIUFHT58/iWD/yHDx9Wq1at/F0GAAAA4BMHDx5UYmLiZedbPvBHRUVJOveDiI6O9nM1AAAAgDmqqqrUqlUrT969HMsH/vPDeKKjown8AAAAsJyrDVvnol0AAADAwgj8AAAAgIUR+AEAAAALs/wYfgAAgPoyDENnz56Vy+XydylohIKDgxUSEnLNt5Yn8AMAAFxCdXW1nE6nvvvuO3+XgkYsPDxcDodDoaGh9W6DwA8AAHARt9ut0tJSBQcHKyEhQaGhoTzAE9eVYRiqrq7W119/rdLSUrVr1+6KD9e6EgI/AADARaqrq+V2u9WqVSuFh4f7uxw0Us2aNVOTJk104MABVVdXq2nTpvVqh4t2AQAALqO+Z1QBs5jxO8hvMQAAAGBhDOkBAACordRUqbz8+m7Tbpe2b7++24SlEPgBAABqq7xcKivzdxV1UlhYqAEDBujYsWOKjY312XZmz56tdevWqbi42GfbQP0Q+AEAAOoqKEhyOHy7DadTcrvrvFr//v3VrVs3LVy4sNbrXHgHooiICCUlJWnKlCnKysqq8/bP4wDgyurTT/VF4AcAAKgrh0M6dMi320hMvK7fJuTn52vYsGE6efKkVqxYoTFjxsjhcGjo0KHXrYbr6fvvv1eTJk38XcZ1wUW7AAAAFpGVlaXNmzcrLy9PNptNNptN+/fv91rm1KlTysjIUK9evXT06FHP9NjYWNntdiUlJenJJ59UXFyc1q9f75lfWVmpsWPHqkWLFoqOjtbAgQO1c+fOWtdWWFio2267TREREYqNjVVaWpoOHDjgmb9o0SIlJSUpNDRUHTp00BtvvFHrtm02mxYtWqT/+I//ULNmzdSmTRutWrXKM3///v2y2WxauXKl+vfvr6ZNm+pPf/qT3G63nn32WSUmJiosLEzdunXTO++8c8n1fvzjH6tZs2a69dZbtXfvXm3btk2pqamKjIzUsGHD9PXXX3vWy8rKUmZmpubMmeP5eY0bN07V1dWe+VfrJzMR+AEAACwiLy9PvXv31iOPPCKn0ymn06lWrVp55ldWVmrIkCGqrq7Wxo0bFRcXV6MNl8ullStX6ujRo54z4IZhKCMjQ+Xl5SooKNCOHTvUo0cPDRo0yOug4XLOnj2rzMxM9evXT5988ok++OADjR071jOUaO3atZo0aZKmTZumzz77TOPGjdOYMWO0adOmWn/2X/7yl7r77ru1c+dO3X///Ro1apR27drltczjjz+uiRMnateuXRo6dKjy8vL04osvKicnR5988omGDh2q4cOH64svvvBa75lnntFTTz2ljz76SCEhIRo1apRmzpypvLw8vf/++9q3b5+efvppr3U2btyoXbt2adOmTVq+fLnWrl2rOXPmSLp6P5nOsLjKykpDklFZWenvUgAAQIA4deqUUVJSYpw6dcp7RsuWhiGd+9PX6rmtfv36GZMmTfK837RpkyHJ2L17t9G1a1fjZz/7mXHmzBmvdSQZTZs2NSIiIozg4GBDkhEXF2d88cUXhmEYxsaNG43o6Gjj9OnTXuslJSUZr776qmEYhvHMM88YXbt29cy78P2RI0cMSUZhYeEla+7Tp4/xyCOPeE275557jDvuuKNWn1mS8eijj3pN69mzp/Ff//VfhmEYRmlpqSHJWLhwodcyCQkJxm9+8xuvabfeeqsxfvx4r/X+9//+3575y5cvNyQZGzdu9EybN2+e0aFDB8/70aNHG3FxccbJkyc90xYtWmRERkYaLpfLMIya/XQ5l/1dNGqfcznDDwAA0Aikp6erbdu2WrlypUJDQ2vMz83NVXFxsTZs2KBu3bopNzdXycnJkqQdO3boxIkTat68uSIjIz2v0tJS7du376rbjouLU1ZWloYOHaq77rpLeXl5cjqdnvm7du1SWlqa1zppaWk1ztBfSe/evWu8v3j91NRUz9+rqqp0+PDhWm333//93z1/j4+PlyR16dLFa1pFRYXXOl27dvV6SnPv3r114sQJHTx4sNafySxctAsAANAIZGRkaPXq1SopKfEKq+fZ7XYlJycrOTlZq1atUvfu3ZWamqqUlBS53W45HA4VFhbWWK+2t/rMz8/XxIkT9c4772jFihV66qmntGHDBvXq1UuS952CpHPDiC6eVlcXrx8REXHVZS613Qsv7j0/7+Jp7lreUelaP1N9EPh9LDU1VeU+ekCH3W7Xdh7EAQAALhAaGiqXy1Vj+nPPPafIyEgNGjRIhYWFSklJuWwbycnJuvvuu5Wdna2//OUv6tGjh8rLyxUSEqLWrVvXu7bu3bure/fuys7OVu/evbVs2TL16tVLN998s7Zs2aIHH3zQs2xRUZFuvvnmWre9detWr/W3bt2q7t27X3b56OhoJSQkaMuWLerbt6/Xdm+77bY6frKadu7cqVOnTqlZs2aeeiIjI5WYmCjp8v3kCwR+HysvL1dZgD2gAwAAXIXTee62mb7eRj20bt1aH374ofbv36/IyEivM885OTlyuVwaOHCgCgsL1bFjx8u2M23aNHXt2lXbt29Xenq6evfurczMTM2fP18dOnTQ4cOHVVBQoMzMTK+hMpdSWlqqxYsXa/jw4UpISNCePXu0d+9eT0CfMWOGRowY4bkQ+O2339aaNWv03nvv1fpzr1q1Sqmpqbr99tu1dOlS/eMf/9Af/vCHK64zY8YMPfPMM0pKSlK3bt2Un5+v4uJiLV26tNbbvZzq6mr94he/0FNPPaUDBw7omWee0YQJExQUdG5E/cX9FBcX55lnNgL/dRIUFCSHSQ/ocDqdtf7aCAAA+IDb3WCfuDt9+nSNHj1aKSkpOnXqlPLz873m5+bmeoX+9u3bX7KdLl26KD09XU8//bQKCgpUUFCgWbNm6aGHHtLXX38tu92uvn37esa0X0l4eLh2796tJUuW6MiRI3I4HJowYYLGjRsnScrMzFReXp5eeOEFTZw4UW3atFF+fr769+9f6889Z84c/fnPf9b48eNlt9u1dOnSK36LIUkTJ05UVVWVpk2bpoqKCqWkpOitt95Su3btar3dyxk0aJDatWunvn376syZM7r33ns1e/Zsz/yL+6m0tPSavj25EpthGIZPWm4gqqqqFBMTo8rKSkVHR1/37ScmJqqsrEwtW7bUIZMe0OGLNgEAwL+cPn1apaWlatOmjZo2bfqvGampko+G6l6W3S4xhPeKbDab1q5dq8zMTH+XIuncffa//fZbrVu37prbuuzvomqfcznDDwAAUFsEbwQgbssJAACABmvp0qVetwK98NWpUyd/lxcQOMMPAACABmv48OHq2bPnJedd+CTghuT111/3dwleCPwAAABosKKiohQVFeXvMgIaQ3oAAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAw7tIDAABQS4H4oN3CwkINGDBAx44dU2xsrGl1XWz27Nlat26diouLfbYN1A+BHwAAoJbKy6WyMn9XcWX9+/dXt27dtHDhwlqvY7PZPH+PiIhQUlKSpkyZoqysrHrXcT0PAGw2m9auXavMzEyfbysQEfgBAADqKChIcjh8uw2nU3K7fbuNC+Xn52vYsGE6efKkVqxYoTFjxsjhcGjo0KHXrwj4BGP4AQAA6sjhkA4d8u2rPgcUWVlZ2rx5s/Ly8mSz2WSz2bR//36vZU6dOqWMjAz16tVLR48e9UyPjY2V3W5XUlKSnnzyScXFxWn9+vWe+ZWVlRo7dqxatGih6OhoDRw4UDt37qx1bYWFhbrtttsUERGh2NhYpaWl6cCBA575ixYtUlJSkkJDQ9WhQwe98cYbtWq3devWkqSf/vSnstlsnvf79u3TT37yE8XHxysyMlK33nqr3nvvPa91bTab1q1b5zUtNja2wT0p91oR+AEAACwiLy9PvXv31iOPPCKn0ymn06lWrVp55ldWVmrIkCGqrq7Wxo0bFRcXV6MNl8ullStX6ujRo2rSpIkkyTAMZWRkqLy8XAUFBdqxY4d69OihQYMGeR00XM7Zs2eVmZmpfv366ZNPPtEHH3ygsWPHeoYSrV27VpMmTdK0adP02Wefady4cRozZow2bdp01ba3bdsm6dw3FE6n0/P+xIkTuuOOO/Tee+/p448/1tChQ3XXXXfpyy+/vPoP0mIY0gMAAGARMTExCg0NVXh4uOx2uyRp9+7dkqSvvvpKI0eOVFJSkpYvX67Q0FCvdUeNGqXg4GCdPn1aLpdLcXFxevjhhyVJmzZt0qeffqqKigqFhYVJknJycrRu3Tq9+eabGjt27BXrqqqqUmVlpe68804lJSVJkm6++WbP/JycHGVlZWn8+PGSpKlTp2rr1q3KycnRgAEDrtj2jTfeKOlf31Cc17VrV3Xt2tXz/te//rXWrl2rt956SxMmTLhim1bDGX4AAIBGID09XW3bttXKlStrhH1Jys3NVXFxsTZs2KBu3bopNzdXycnJkqQdO3boxIkTat68uSIjIz2v0tJS7du376rbjouLU1ZWlucse15enpxOp2f+rl27lJaW5rVOWlqadu3aVe/Pe/LkSc2cOVMpKSmKjY1VZGSkdu/ezRl+AAAAWFNGRoZWr16tkpISdenSpcZ8u92u5ORkJScna9WqVerevbtSU1OVkpIit9sth8OhwsLCGuvV9laf+fn5mjhxot555x2tWLFCTz31lDZs2KBevXpJ8r5TkHRuGNHF0+pixowZevfdd5WTk6Pk5GQ1a9ZM//mf/6nq6mrPMjabTYZheK33/fff13ubDRVn+AEAACwkNDRULperxvTnnntOo0eP1qBBg1RSUnLFNpKTk3X33XcrOztbktSjRw+Vl5crJCTEc1Bw/nXDDTfUurbu3bsrOztbRUVF6ty5s5YtWybp3PCeLVu2eC1bVFTkNeznSpo0aVLjM7///vvKysrST3/6U3Xp0kV2u73GBcw33nij1zcNX3zxhb777rtaf55AwRl+AACAOnI6pcRE32+jPlq3bq0PP/xQ+/fvV2RkpNwX3NszJydHLpdLAwcOVGFhoTp27HjZdqZNm6auXbtq+/btSk9PV+/evZWZman58+erQ4cOOnz4sAoKCpSZmanU1NQr1lRaWqrFixdr+PDhSkhI0J49e7R37149+OCDks6djR8xYoTnQuC3335ba9asqXFXnSt95o0bNyotLU1hYWH6t3/7NyUnJ2vNmjW66667ZLPZ9Mtf/tLrZyFJAwcO1EsvvaRevXrJ7Xbr8ccf91yobCUEfgAAgDpyuxvuA7imT5+u0aNHKyUlRadOnVJ+fr7X/NzcXK/Q3759+0u206VLF6Wnp+vpp59WQUGBCgoKNGvWLD300EP6+uuvZbfb1bdvX8XHx1+1pvDwcO3evVtLlizRkSNH5HA4NGHCBI0bN06SlJmZqby8PL3wwguaOHGi2rRpo/z8fPXv379Wn/nFF1/U1KlT9dprr6lly5bav3+/cnNz9dBDD6lPnz664YYb9Pjjj6uqqqrGemPGjFHfvn2VkJCgvLw87dixo1bbDCQ24+KBSxZTVVWlmJgYVVZWKjo6+rpvPzExUWVlZWrZsqUOHTrUYNsEAAD/cvr0aZWWlqpNmzZq2rSpZ3pq6rmn7V5Pdru0ffv13SYajsv9Lkq1z7mc4QcAAKglgjcCERftAgAAoMFaunSp161AL3x16tTJ3+UFBM7wAwAAoMEaPny4evbsecl5VrzA1hcI/AAAAGiwoqKiFBUV5e8yAhpDegAAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDC/3qXn7Nmzmj17tpYuXary8nI5HA5lZWXpqaeeUlDQuWMRwzA0Z84cLV68WMeOHVPPnj31+9//nvuuAgCA6y51carKT1zfR+3aI+3aPrb+T/wqLCzUgAEDdOzYMcXGxppX2EVmz56tdevWqbi42GfbuBybzaa1a9cqMzNTkrR7925lZWWpuLhYHTt29EtNDYlfA//8+fP1yiuvaMmSJerUqZO2b9+uMWPGKCYmRpMmTZIkPf/881qwYIFef/11tW/fXr/+9a81ePBg7dmzh1s0AQCA66r8RLnKjpf5u4wr6t+/v7p166aFCxfWeh2bzeb5e0REhJKSkjRlyhRlZWXVuw5/HgA888wzioiI0J49exQZGXndt9/Q+DXwf/DBB/rJT36ijIwMSVLr1q21fPlybf/hudWGYWjhwoWaNWuWfvazn0mSlixZovj4eC1btkzjxo3zW+0AAKDxCrIFyRHp8Ok2nCecchtun27jQvn5+Ro2bJhOnjypFStWaMyYMXI4HBo6dOh1q8Es+/btU0ZGhm666SZ/l9Ig+DXw33777XrllVe0d+9etW/fXjt37tSWLVs8R6SlpaUqLy/XkCFDPOuEhYWpX79+KioqumTgP3PmjM6cOeN5X1VV5fPPAQAAGhdHpEOHph7y6TYSFyTW+duErKwsbd68WZs3b1ZeXp6kc0H+QqdOndJ//ud/6siRIyooKFBcXJwkKTY2Vna7XZL05JNP6sUXX9T69es9gb+yslIzZszQunXrdPr0aaWmpio3N1ddu3atVW2FhYWaOXOmPv/8czVp0kSdOnXSsmXLPKF80aJFysnJ0cGDB9WmTRs99dRTeuCBB+r0+aV/fVuxY8cOPfvss3rmmWc0e/bsOrdjJX4N/I8//rgqKyvVsWNHBQcHy+Vy6Te/+Y1GjRolSSovPzdGLj4+3mu9+Ph4HThw4JJtzps3T3PmzPFt4QAAAA1QXl6e9u7dq86dO+vZZ5+VJH3++eee+ZWVlbrzzjvVtGlTbdy4URERETXacLlcWr16tY4ePaomTZpIOjfqIiMjQ3FxcSooKFBMTIxeffVVDRo0SHv37vUcNFzO2bNnlZmZqUceeUTLly9XdXW1/vGPf3jC+dq1azVp0iQtXLhQ6enp+utf/6oxY8YoMTFRAwYMqNPPwOl0Kj09XcOGDdP06dMZ0iM/B/4VK1boT3/6k5YtW6ZOnTqpuLhYkydPVkJCgkaPHu1Z7sJxZdK5X7qLp52XnZ2tqVOnet5XVVWpVatWvvkAAAAADUhMTIxCQ0MVHh7uOVu/e/duSdJXX32lkSNHKikpScuXL1doaKjXuqNGjVJwcLBOnz4tl8uluLg4Pfzww5KkTZs26dNPP1VFRYXCwsIkSTk5OVq3bp3efPNNjR079op1VVVVeQ42kpKSJEk333yzZ35OTo6ysrI0fvx4SdLUqVO1detW5eTk1Dnw2+12hYSEKDIy0vMzaOz8elvOGTNm6IknntC9996rLl266IEHHtCUKVM0b948SfJ00vkz/edVVFTUOOt/XlhYmKKjo71eAAAAjV16erratm2rlStX1gj7kpSbm6vi4mJt2LBB3bp1U25urpKTkyWdGx5z4sQJNW/eXJGRkZ5XaWmp9u3bd9Vtx8XFKSsrS0OHDtVdd92lvLw8OZ1Oz/xdu3YpLS3Na520tDTt2rXrGj81JD8H/u+++85z+83zgoOD5Xafu0ClTZs2stvt2rBhg2d+dXW1Nm/erD59+lzXWgEAAAJZRkaG3n//fZWUlFxyvt1uV3JysgYMGKBVq1bpscce8yzrdrvlcDhUXFzs9dqzZ49mzJhRq+3n5+frgw8+UJ8+fbRixQq1b99eW7du9cyvy4gO1I1fA/9dd92l3/zmN/rb3/6m/fv3a+3atVqwYIF++tOfSjrX8ZMnT9bcuXO1du1affbZZ8rKylJ4eLjuu+8+f5YOAADQIIWGhsrlctWY/txzz2n06NEaNGjQZUP/ecnJybr77ruVnZ0tSerRo4fKy8sVEhKi5ORkr9cNN9xQ69q6d++u7OxsFRUVqXPnzlq2bJmkc8N7tmzZ4rVsUVGR17Af1J9fx/D/7ne/0y9/+UuNHz9eFRUVSkhI0Lhx4/T00097lpk5c6ZOnTql8ePHex68tX79eu7BDwAA/MZ5wqnEBYk+30Z9tG7dWh9++KH279+vyMhIz8gJ6dxYeZfLpYEDB6qwsFAdO3a8bDvTpk1T165dtX37dqWnp6t3797KzMzU/Pnz1aFDBx0+fFgFBQXKzMxUamrqFWsqLS3V4sWLNXz4cCUkJGjPnj3au3evHnzwQUnnhnmPGDFCPXr00KBBg/T2229rzZo1eu+99+r1M4A3vwb+qKgoLVy48IoPhrDZbJo9e3ajv50SAABoONyGu8E+gGv69OkaPXq0UlJSdOrUqRq35czNzfUK/e3bt79kO126dFF6erqefvppFRQUqKCgQLNmzdJDDz2kr7/+Wna7XX379r3sdZUXCg8P1+7du7VkyRIdOXJEDodDEyZM8NxiPTMzU3l5eXrhhRc0ceJEtWnTRvn5+erfv/81/zwg2QzDMPxdhC9VVVUpJiZGlZWVfrmANzExUWVlZWrZsqUOHTLnfr2+aBMAAPzL6dOnVVpaqjZt2qhp06ae6amLU1V+ovwKa5rPHmnX9rHbr+s20XBc7ndRqn3O9esZfgAAgEBC8EYg8utFuwAAAMCVLF261OtWoBe+OnXq5O/yAgJn+AEAANBgDR8+XD179rzkvPNPAsaVEfgBAADQYEVFRXF3xmvEkB4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMu/QAAADUUmpqqsrLr/OTdu12bd9e/wd+FRYWasCAATp27JhiY2PNK+wis2fP1rp161RcXOyzbVxOeXm5HnjgARUVFalJkyb69ttvr7rO66+/rsmTJ9dq2UBH4AcAAKil8vJylZWV+buMK+rfv7+6deumhQsX1nodm83m+XtERISSkpI0ZcoUZWVl1buO63kAkJubK6fTqeLiYsXExPh8e4GGwA8AAFBHQUFBcjgcPt2G0+mU2+326TYulJ+fr2HDhunkyZNasWKFxowZI4fDoaFDh163Gupr3759uuWWW9SuXTt/l9IgMYYfAACgjhwOhw4dOuTTV30OKLKysrR582bl5eXJZrPJZrNp//79XsucOnVKGRkZ6tWrl44ePeqZHhsbK7vdrqSkJD355JOKi4vT+vXrPfMrKys1duxYtWjRQtHR0Ro4cKB27txZ69oKCwt12223KSIiQrGxsUpLS9OBAwc88xctWqSkpCSFhoaqQ4cOeuONN2rVbuvWrbV69Wr98Y9/lM1m83wrsWDBAnXp0kURERFq1aqVxo8frxMnTly2nSNHjui2227T8OHDdfr0aRmGoeeff15t27ZVs2bN1LVrV7355pu1/rwNCYEfAADAIvLy8tS7d2898sgjcjqdcjqdatWqlWd+ZWWlhgwZourqam3cuFFxcXE12nC5XFq5cqWOHj2qJk2aSJIMw1BGRobKy8tVUFCgHTt2qEePHho0aJDXQcPlnD17VpmZmerXr58++eQTffDBBxo7dqxnKNHatWs1adIkTZs2TZ999pnGjRunMWPGaNOmTVdte9u2bRo2bJhGjBghp9OpvLw8See+hfntb3+rzz77TEuWLNHf//53zZw585JtHDp0SD/+8Y/VsWNHrVmzRk2bNtVTTz2l/Px8LVq0SJ9//rmmTJmi+++/X5s3b75qTQ0NQ3oAAAAsIiYmRqGhoQoPD5fdbpck7d69W5L01VdfaeTIkUpKStLy5csVGhrqte6oUaMUHBys06dPy+VyKS4uTg8//LAkadOmTfr0009VUVGhsLAwSVJOTo7WrVunN998U2PHjr1iXVVVVaqsrNSdd96ppKQkSdLNN9/smZ+Tk6OsrCyNHz9ekjR16lRt3bpVOTk5GjBgwBXbvvHGGxUWFqZmzZp5PrMkTZ482fP3Nm3a6Fe/+pX+67/+Sy+//LLX+nv37tXgwYP1k5/8xPPNyMmTJ7VgwQL9/e9/V+/evSVJbdu21ZYtW/Tqq6+qX79+V6ypoeEMPwAAQCOQnp6utm3bauXKlTXCvnTuwtfi4mJt2LBB3bp1U25urpKTkyVJO3bs0IkTJ9S8eXNFRkZ6XqWlpdq3b99Vtx0XF6esrCwNHTpUd911l/Ly8uR0Oj3zd+3apbS0NK910tLStGvXrnp/3k2bNmnw4MFq2bKloqKi9OCDD+rIkSM6efKkZ5lTp07p9ttvV2Zmpn772996vnEoKSnR6dOnNXjwYK/P+8c//rFWn7eh4Qw/AABAI5CRkaHVq1erpKREXbp0qTHfbrcrOTlZycnJWrVqlbp3767U1FSlpKTI7XbL4XCosLCwxnq1vdVnfn6+Jk6cqHfeeUcrVqzQU089pQ0bNqhXr16SvO8UJJ0bRnTxtNo6cOCA7rjjDj366KP61a9+pbi4OG3ZskW/+MUv9P3333uWCwsLU3p6uv72t79pxowZSkxMlCTPxdJ/+9vf1LJlS6+2z3/DEUg4ww8AAGAhoaGhcrlcNaY/99xzGj16tAYNGqSSkpIrtpGcnKy7775b2dnZkqQePXqovLxcISEhnoOC868bbrih1rV1795d2dnZKioqUufOnbVs2TJJ54b3bNmyxWvZoqIir2E/dbF9+3adPXtWL774onr16qX27dvr8OHDNZYLCgrSG2+8oVtuuUUDBw70LJOSkqKwsDB9+eWXNT7vhddEBArO8AMAANSR0+n0nA325Tbqo3Xr1vrwww+1f/9+RUZGet3aMycnRy6XSwMHDlRhYaE6dux42XamTZumrl27avv27UpPT1fv3r2VmZmp+fPnq0OHDjp8+LAKCgqUmZmp1NTUK9ZUWlqqxYsXa/jw4UpISNCePXu0d+9ePfjgg5KkGTNmaMSIEZ4Lgd9++22tWbNG7733Xr1+BklJSTp79qx+97vf6a677tL//M//6JVXXrnkssHBwVq6dKlGjRrl+bnY7XZNnz5dU6ZMkdvt1u23366qqioVFRUpMjJSo0ePrldd/kLgBwAAqCO3291gH8A1ffp0jR49WikpKTp16pTy8/O95ufm5nqF/vbt21+ynS5duig9PV1PP/20CgoKVFBQoFmzZumhhx7S119/Lbvdrr59+yo+Pv6qNYWHh2v37t1asmSJjhw5IofDoQkTJmjcuHGSpMzMTOXl5emFF17QxIkT1aZNG+Xn56t///71+hl069ZNCxYs0Pz585Wdna2+fftq3rx5ngOMi4WEhGj58uUaOXKk5+fyq1/9Si1atNC8efP0z3/+U7GxserRo4eefPLJetXkTzbDMAx/F+FLVVVViomJUWVlpaKjo6/79hMTE1VWVqaWLVvq0KFDDbZNAADwL6dPn1ZpaanatGmjpk2beqanpqaqvLz8utZit9u1ffv267pNNByX+12Uap9zOcMPAABQSwRvBCIu2gUAAECDtXTpUq9bY1746tSpk7/LCwic4QcAAECDNXz4cPXs2fOS884/CRhXRuAHAABAgxUVFaWoqCh/lxHQGNIDAABwGRa/twkCgBm/gwR+AACAi5wfKvLdd9/5uRI0dud/B69l+BJDegAAAC4SHBys2NhYVVRUSDp3H3mbzebnqtCYGIah7777ThUVFYqNjVVwcHC92yLwAwAAXILdbpckT+gH/CE2Ntbzu1hfBH4AAIBLsNlscjgcatGihb7//nt/l4NGqEmTJtd0Zv88Aj8AAMAVBAcHmxK6AH/hol0AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwkL8XYDlVVSc+9PplBITzWnT6fRuGwAAALgMAr+vuVzn/nS7pbIy37QNAAAAXAaB/3pq2dKcdsw+cAAAAIBlEfivl6Ag6dAhc9oKDj73jQEAAABwFVy0CwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDC/B74y8rKdP/996t58+YKDw9Xt27dtGPHDs98wzA0e/ZsJSQkqFmzZurfv78+//xzP1YMAAAABA6/Bv5jx44pLS1NTZo00f/9v/9XJSUlevHFFxUbG+tZ5vnnn9eCBQv00ksvadu2bbLb7Ro8eLCOHz/uv8IBAACAAOHX23LOnz9frVq1Un5+vmda69atPX83DEMLFy7UrFmz9LOf/UyStGTJEsXHx2vZsmUaN27c9S4ZAAAACCh+PcP/1ltvKTU1Vffcc49atGih7t2767XXXvPMLy0tVXl5uYYMGeKZFhYWpn79+qmoqMgfJQMAAAABxa+B/5///KcWLVqkdu3a6d1339Wjjz6qiRMn6o9//KMkqby8XJIUHx/vtV58fLxn3sXOnDmjqqoqrxcAAADQWPl1SI/b7VZqaqrmzp0rSerevbs+//xzLVq0SA8++KBnOZvN5rWeYRg1pp03b948zZkzx3dFAwAAAAHEr2f4HQ6HUlJSvKbdfPPN+vLLLyVJdrtdkmqcza+oqKhx1v+87OxsVVZWel4HDx70QeUAAABAYPBr4E9LS9OePXu8pu3du1c33XSTJKlNmzay2+3asGGDZ351dbU2b96sPn36XLLNsLAwRUdHe70AAACAxsqvQ3qmTJmiPn36aO7cuRoxYoT+8Y9/aPHixVq8eLGkc0N5Jk+erLlz56pdu3Zq166d5s6dq/DwcN13333+LB0AAAAICH4N/LfeeqvWrl2r7OxsPfvss2rTpo0WLlyon//8555lZs6cqVOnTmn8+PE6duyYevbsqfXr1ysqKsqPlQMAAACBwWYYhuHvInypqqpKMTExqqys9MvwnsTgYJW53WoZFKRDLleDbRMAAACBpbY5169j+AEAAAD4FoEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALC/F3AVZX4b5BUoWc7nglJprTptMdL8n5Q9sAAADA5RH4fcylYEmSW0EqKzOr1SCvtgEAAIDLIfBfRy1bmtOOeQcOAAAAsDoC/3USJLcOHTKnrWCbW25zmgIAAIDFcdEuAAAAYGEEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCTAn8LpdLxcXFOnbsmBnNAQAAADBJvQL/5MmT9Yc//EHSubDfr18/9ejRQ61atVJhYaGZ9QEAAAC4BvUK/G+++aa6du0qSXr77bdVWlqq3bt3a/LkyZo1a5apBQIAAACov3oF/m+++UZ2u12SVFBQoHvuuUft27fXL37xC3366aemFggAAACg/uoV+OPj41VSUiKXy6V33nlH6enpkqTvvvtOwcHBphYIAAAAoP5C6rPSmDFjNGLECDkcDtlsNg0ePFiS9OGHH6pjx46mFggAAACg/uoV+GfPnq3OnTvr4MGDuueeexQWFiZJCg4O1hNPPGFqgQAAAADqr16B/49//KNGjhzpCfrnjRo1Sn/+859NKQwAAADAtavXGP4xY8aosrKyxvTjx49rzJgx11wUAAAAAHPUK/AbhiGbzVZj+qFDhxQTE3PNRQEAAAAwR52G9HTv3l02m002m02DBg1SSMi/Vne5XCotLdWwYcNMLxIAAABA/dQp8GdmZkqSiouLNXToUEVGRnrmhYaGqnXr1rr77rtNLRAAAABA/dUp8D/zzDOSpNatW2vkyJFq2rSpT4oCAAAAYI563aVn9OjRkqTq6mpVVFTI7XZ7zf/Rj3507ZUBAAAAuGb1CvxffPGFHnroIRUVFXlNP38xr8vlMqU4AAAAANemXoE/KytLISEh+utf/+p52i4AAACAhqdegb+4uFg7duxQx44dza4HAAAAgInqdR/+lJQUffPNN2bXAgAAAMBk9Qr88+fP18yZM1VYWKgjR46oqqrK6wUAAACgYajXkJ709HRJ0qBBg7ymc9EuAAAA0LDUK/Bv2rTJ7DoAAAAA+EC9An+/fv3MrgMAAACAD9RrDL8kvf/++7r//vvVp08flZWVSZLeeOMNbdmyxbTiAAAAAFybegX+1atXa+jQoWrWrJk++ugjnTlzRpJ0/PhxzZ0719QCAQAAANRfvQL/r3/9a73yyit67bXX1KRJE8/0Pn366KOPPjKtOAAAAADXpl6Bf8+ePerbt2+N6dHR0fr222+vtSYAAAAAJqlX4Hc4HPp//+//1Zi+ZcsWtW3b9pqLAgAAAGCOegX+cePGadKkSfrwww9ls9l0+PBhLV26VNOnT9f48ePNrhEAAABAPdXrtpwzZ85UZWWlBgwYoNOnT6tv374KCwvT9OnTNWHCBLNrBAAAAFBPNsMwjPqu/N1336mkpERut1spKSmKjIw0szZTVFVVKSYmRpWVlYqOjr7u2w+2Jcgtp4LkkMs43GDbBAAAQGCpbc6t15CeJUuW6OTJkwoPD1dqaqpuu+22Bhn2AQAAgMauXoF/+vTpatGihe6991799a9/1dmzZ82uCwAAAIAJ6hX4nU6nVqxYoeDgYN17771yOBwaP368ioqKzK4PAAAAwDWoV+APCQnRnXfeqaVLl6qiokILFy7UgQMHNGDAACUlJZldIwAAAIB6qtddei4UHh6uoUOH6tixYzpw4IB27dplRl0AAAAATFCvM/zSuTv0LF26VHfccYcSEhKUm5urzMxMffbZZ2bWBwAAAOAa1OsM/6hRo/T2228rPDxc99xzjwoLC9WnTx+zawMAAABwjeoV+G02m1asWKGhQ4cqJOSaRwUBAAAA8JE6Dem54447VFlZqWXLlikjI0Pz58/Xt99+65l/5MgRpaSkmF0jAAAAgHqqU+B/9913debMGc/7+fPn6+jRo573Z8+e1Z49e8yrDgAAAMA1qVPgNwzjiu8BAAAANCz1vksPAAAAgIavToHfZrPJZrPVmAYAAACgYarTLXYMw1BWVpbCwsIkSadPn9ajjz6qiIgISfIa3w8AAADA/+oU+EePHu31/v7776+xzIMPPnhtFQEAAAAwTZ0Cf35+vq/qAAAAAOADDeai3Xnz5slms2ny5MmeaYZhaPbs2UpISFCzZs3Uv39/ff755/4rEgAAAAgwDSLwb9u2TYsXL9a///u/e01//vnntWDBAr300kvatm2b7Ha7Bg8erOPHj/upUgAAACCw+D3wnzhxQj//+c/12muv6d/+7d880w3D0MKFCzVr1iz97Gc/U+fOnbVkyRJ99913WrZsmR8rBgAAAAKH3wP/Y489poyMDKWnp3tNLy0tVXl5uYYMGeKZFhYWpn79+qmoqOiy7Z05c0ZVVVVeLwAAAKCxqtNFu2b785//rI8++kjbtm2rMa+8vFySFB8f7zU9Pj5eBw4cuGyb8+bN05w5c8wtFAAAAAhQfjvDf/DgQU2aNEl/+tOf1LRp08sud/GDvQzDuOLDvrKzs1VZWel5HTx40LSaAQAAgEDjtzP8O3bsUEVFhW655RbPNJfLpf/+7//WSy+9pD179kg6d6bf4XB4lqmoqKhx1v9CYWFhngeDAQAAAI2d387wDxo0SJ9++qmKi4s9r9TUVP385z9XcXGx2rZtK7vdrg0bNnjWqa6u1ubNm9WnTx9/lQ0AAAAEFL+d4Y+KilLnzp29pkVERKh58+ae6ZMnT9bcuXPVrl07tWvXTnPnzlV4eLjuu+8+f5QMAAAABBy/XrR7NTNnztSpU6c0fvx4HTt2TD179tT69esVFRXl79IAAACAgGAzDMPwdxG+VFVVpZiYGFVWVio6Ovq6bz/YliC3nAqSQy7jcINtEwAAAIGltjnX7/fhBwAAAOA7BH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACyMwA8AAABYGIEfAAAAsDACPwAAAGBhBH4AAADAwgj8AAAAgIUR+AEAAAALI/ADAAAAFkbgBwAAACwsxN8FWJ074hvppOSO/EqJCxLNaTPyK+nED20DAAAAV0Dg9zWb64c/3So7XmZSmxe1DQAAAFwGgf86ahnV0pR2ymTSgQMAAAAsj8B/vRhBOjT1kClN2Z4JluQ2pS0AAABYGxftAgAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAAC/Nr4J83b55uvfVWRUVFqUWLFsrMzNSePXu8ljEMQ7Nnz1ZCQoKaNWum/v376/PPP/dTxQAAAEBg8Wvg37x5sx577DFt3bpVGzZs0NmzZzVkyBCdPHnSs8zzzz+vBQsW6KWXXtK2bdtkt9s1ePBgHT9+3I+VAwAAAIHBZhiG4e8izvv666/VokULbd68WX379pVhGEpISNDkyZP1+OOPS5LOnDmj+Ph4zZ8/X+PGjbtqm1VVVYqJiVFlZaWio6N9/RFqsEUFSyfcUmSQjOOuBtsmAAAAAkttc26DGsNfWVkpSYqLi5MklZaWqry8XEOGDPEsExYWpn79+qmoqOiSbZw5c0ZVVVVeLwAAAKCxajCB3zAMTZ06Vbfffrs6d+4sSSovL5ckxcfHey0bHx/vmXexefPmKSYmxvNq1aqVbwsHAAAAGrAGE/gnTJigTz75RMuXL68xz2azeb03DKPGtPOys7NVWVnpeR08eNAn9QIAAACBIMTfBUjS//pf/0tvvfWW/vu//1uJiYme6Xa7XdK5M/0Oh8MzvaKiosZZ//PCwsIUFhbm24IBAACAAOHXM/yGYWjChAlas2aN/v73v6tNmzZe89u0aSO73a4NGzZ4plVXV2vz5s3q06fP9S4XAAAACDh+PcP/2GOPadmyZfrLX/6iqKgoz7j8mJgYNWvWTDabTZMnT9bcuXPVrl07tWvXTnPnzlV4eLjuu+8+f5YOAAAABAS/Bv5FixZJkvr37+81PT8/X1lZWZKkmTNn6tSpUxo/fryOHTumnj17av369YqKirrO1QIAAACBp0Hdh98XuA8/AAAArCgg78MPAAAAwFwEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYgR8AAACwMAI/AAAAYGEEfgAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWFuLvAnCNEhPNbc9ul7ZvN7dNAAAA+A2BP9CVlfm7AgAAADRgBP4Alxh02JyG3C5Jkr3iiDi/DwAAYB0E/gBX5naY26Ar2Nz2AAAA4FcE/gDXsqU57TjLXHKLsA8AAGA1BP4AFBQsuX/489Ahc9pMDK4w/9sCAAAA+B235QQAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACwvxdwFoWJzuFkpMNLdNu13avt3cNgEAAFA7BH54cStYZWX+rgIAAABmIfBDkmQPrpDcLikoWHI4TGnT6ZTcblOaAgAAQD0R+CFJ2t4iQyorkxwtpUOHTGkzMVF8WwAAAOBnXLQLAAAAWBiBHwAAALAwhvTAm9Mp027T49wmySFVfCUp3pw2AQAAUCcEfnhzu00ceO/64Q+u3AUAAPAXAj/OsdvNb5MLdgEAAPyOwI9zfPFkrGCnxMl9AAAAv+KiXQAAAMDCCPwAAACAhRH4AQAAAAsj8AMAAAAWRuAHAAAALIzADwAAAFgYt+WEzzndLUx7eO95drtv7iQKAABgNQR++JxbweY9vBcAAAB1QuCHz9iDKyS3SwoKlhwOU9p0OiU3D/MCAACoNQJ/AHMbbiUuMHesjD3Sru1jzRkrs71FhlRWJjlaSocOmdJmYqL4tgAAAKAOCPyBzJDKjpN+AQAAcHkE/gAUbAuWW24FBQXJEWXSUJkTTrkNH42VcTpl2lW7zm2SHFLFV5LizWkTAADAwgj8AahFRAuVfVsmR6RDh6aaNFRmQaLvvi1wu00ch+OSJDm/v4E7/wAAANQCgR++Y7eb3+YPxw3c+QcNVeriVJWfKPdZ+2ZeZwNz+bLv6XcA14LAD9/xwelye+hO6Xtx5x80WOUnyrm2ppGi7wE0VAR+BBTu/INAEWQLkiPSnINSycfX2cBUZvY9/Q7ADAR+APABM6+xkXx8nQ1MFTDXVwFoNAj88BmfjGcd5ZTcklQmzQg2pUnnyHhJQao42VzSTlPaBAJBoIw5D5Q6A0Vjv86E3yc0RgT+AOZ0OpVo0q1qnCfOBemKmAppqilN+mY8a+SFb8z6mtspSXKZ1h4QGAJlzHmg1BkoGvvPs7F/fjROBP4A5na7VWby4HNXkMvU9iSTxzJXVEguc2ssC5cU5JZbQabf6lPidp9o+AJlzHmg1BkoGvt1Jvw+oTEh8Acguw9ud1l2uEwyTG9Wkvljmc0WPC1B7uhzZ/m5eBeNUaCMOQ+UOgNFY7/OhN8nNCYE/gC03Qeni4Njg+WubJxnJ4J/GMwTJLccLc1rtzHf7jNQxsj6ok7nCaep7V2q/cQFJg7lAxqwQNtHzdw/A00gXL8QKP83+QKBH41ei6BvVCbJIacOybx/qBO1TWVyyFnmUmKiORcYn9fQhwkFyhjZQKnzQm7DHXA1A/UVaPso+2fDFmi/T2Yi8AMXMnVMz7lrDRrzU4EDZYys2WOZpXNnexpye9erbcAMDX0fbcz7UCBevxAo/zeZicAPBAdLcktBQVJL8/5DsZf98LVhI34qcKCMkW3o15lIatBfFQO+1tD30ca8fwbi9QuB8n+TmQj88OKucis41pzhJ27DLRnm3urTJ1q0kI6XyRklJZpZp7Pnv9J5UJA5bbrPPTOg7IRdiYkN9z8Y5yhJkeduqgQ0ZIFyTUSg1Hm+/UCpFWgsCPzwZsj0i3d9catPXzB97KUPnxkgNfA7Cv3wcU2+gypgukAZcx0odUqBVSvQWBD4IUlqGtNUp3Xa1DbdVefO8Lur3KY9IOw8u91u2t2KfDb20ofPDAiSS44gk898BQdJLeJNaYr/6tHQBco1EYFSpy/au15tA40BgR+SpJMHTpreZmJi4rkHgxky/QFhZWVlDfogwlcSZwSrLFJyqFyH3AnmNu6WJHPuSxos97nmAumCAzQqgTLmOlDqlAKrVqCxIfDDZ3zygLALDhzMPogICD9cYOyMlBKnm3VdwIWh3JyfqTvyXG1uBSkx2JxvIpyT3VK0VFbpVPAMcw723OFOKejcxdBmP2W5od861dcYxw00Lr56BkFDv799oAiIwP/yyy/rhRdekNPpVKdOnbRw4UL9+Mc/9ndZuApfnC1PTU1VebnJD2FxOuV2u+V0Ok3/1sBszhMuyS25I6WycQ357Pm/aitzm3Xnox8OcILcckeae7Dndpt/TURZmfkHEb7ii4MTxnEDjQv7fMPW4AP/ihUrNHnyZL388stKS0vTq6++qv/4j/9QSUmJfvSjH/m7PFxnvjiIOD/0yO12B863BseloFyTzvD7gPv8pQtGhYJkztAj96tfSzbffGZb06NKkDm3aCu74OFt5v46pUryzRMiy8rsSgx+25S2DscdlU77pp/KjAoFTzN3KFuw7Ua1SNhpapu+0Ni/MULD5avrK8peLJOOS84gk78tdAfA3QN9wGYYhuHvIq6kZ8+e6tGjhxYtWuSZdvPNNyszM1Pz5s276vpVVVWKiYlRZWWloqOjfVnqJdmigqUTbikySMZxblnSEPniWwNfCZgDkgDU0qRbp1a4b5BL5gdet4/C/r+Yc/1GYF6ybdZn960g0+72BTR8bvl2KF+QzPn22R35lWRzyxYeInf596a0WRe1zbkN+gx/dXW1duzYoSeeeMJr+pAhQ1RUVHTJdc6cOaMzZ8543ldWVko69wPxi/PHU4bhvxpwRX//+9/9XUKt9evXT1999ZW/y7AMp/OC25yadoGx7x8+4LDZTGnH6XW+x/ygblML09uUzPnshi7cjwLjIIW4j0Yrwpz9Xif/9W+eaQcUJ879Ybhdfsl557d5tfP3DTrwf/PNN3K5XIqP975VYHx8/GXPyM6bN09z5sypMb1Vq1Y+qbHWThqKiYnxbw0ALMHZsL+Y9TCuw8EPgEbgZAD8m+fnnHf8+PErbr9BB/7zbBedzTIMo8a087KzszV16r8GZrndbh09elTNmze/7Dq+VFVVpVatWungwYN+GVKEq6OPAgP9FBjop4aPPgoM9FNg8Hc/GYah48ePKyHhytc3NejAf8MNNyg4OLjG2fyKiooaZ/3PCwsLU1hYmNe02NhYX5VYa9HR0eywDRx9FBjop8BAPzV89FFgoJ8Cgz/7qTbfLDTc23xICg0N1S233KINGzZ4Td+wYYP69Onjp6oAAACAwNGgz/BL0tSpU/XAAw8oNTVVvXv31uLFi/Xll1/q0Ucf9XdpAAAAQIPX4AP/yJEjdeTIET377LNyOp3q3LmzCgoKdNNNN/m7tFoJCwvTM888U2OYERoO+igw0E+BgX5q+OijwEA/BYZA6acGfx9+AAAAAPXXoMfwAwAAALg2BH4AAADAwgj8AAAAgIUR+AEAAAALI/DX0csvv6w2bdqoadOmuuWWW/T+++9fcfnNmzfrlltuUdOmTdW2bVu98sorNZZZvXq1UlJSFBYWppSUFK1du9ZX5TcaZvfT66+/LpvNVuN1+vRpX34MS6tLHzmdTt13333q0KGDgoKCNHny5Esux75kPrP7iX3JN+rST2vWrNHgwYN14403Kjo6Wr1799a7775bYzn2J/OZ3U/sT+arSx9t2bJFaWlpat68uZo1a6aOHTsqNze3xnINYl8yUGt//vOfjSZNmhivvfaaUVJSYkyaNMmIiIgwDhw4cMnl//nPfxrh4eHGpEmTjJKSEuO1114zmjRpYrz55pueZYqKiozg4GBj7ty5xq5du4y5c+caISEhxtatW6/Xx7IcX/RTfn6+ER0dbTidTq8X6qeufVRaWmpMnDjRWLJkidGtWzdj0qRJNZZhXzKfL/qJfcl8de2nSZMmGfPnzzf+8Y9/GHv37jWys7ONJk2aGB999JFnGfYn8/min9ifzFXXPvroo4+MZcuWGZ999plRWlpqvPHGG0Z4eLjx6quvepZpKPsSgb8ObrvtNuPRRx/1mtaxY0fjiSeeuOTyM2fONDp27Og1bdy4cUavXr0870eMGGEMGzbMa5mhQ4ca9957r0lVNz6+6Kf8/HwjJibG9Fobq7r20YX69et3ySDJvmQ+X/QT+5L5rqWfzktJSTHmzJnjec/+ZD5f9BP7k7nM6KOf/vSnxv333+9531D2JYb01FJ1dbV27NihIUOGeE0fMmSIioqKLrnOBx98UGP5oUOHavv27fr++++vuMzl2sSV+aqfJOnEiRO66aablJiYqDvvvFMff/yx+R+gEahPH9UG+5K5fNVPEvuSmczoJ7fbrePHjysuLs4zjf3JXL7qJ4n9ySxm9NHHH3+soqIi9evXzzOtoexLBP5a+uabb+RyuRQfH+81PT4+XuXl5Zdcp7y8/JLLnz17Vt98880Vl7lcm7gyX/VTx44d9frrr+utt97S8uXL1bRpU6WlpemLL77wzQexsPr0UW2wL5nLV/3EvmQuM/rpxRdf1MmTJzVixAjPNPYnc/mqn9ifzHMtfZSYmKiwsDClpqbqscce08MPP+yZ11D2pZDrujULsNlsXu8Nw6gx7WrLXzy9rm3i6szup169eqlXr16e+WlpaerRo4d+97vf6be//a1ZZTcqvvi9Z18yn9k/U/Yl36hvPy1fvlyzZ8/WX/7yF7Vo0cKUNnF5ZvcT+5P56tNH77//vk6cOKGtW7fqiSeeUHJyskaNGnVNbZqNwF9LN9xwg4KDg2sckVVUVNQ4cjvPbrdfcvmQkBA1b978istcrk1cma/66WJBQUG69dZbOYtSD/Xpo9pgXzKXr/rpYuxL1+Za+mnFihX6xS9+oVWrVik9Pd1rHvuTuXzVTxdjf6q/a+mjNm3aSJK6dOmir776SrNnz/YE/oayLzGkp5ZCQ0N1yy23aMOGDV7TN2zYoD59+lxynd69e9dYfv369UpNTVWTJk2uuMzl2sSV+aqfLmYYhoqLi+VwOMwpvBGpTx/VBvuSuXzVTxdjX7o29e2n5cuXKysrS8uWLVNGRkaN+exP5vJVP12M/an+zPo3zzAMnTlzxvO+wexL1/US4QB3/nZNf/jDH4ySkhJj8uTJRkREhLF//37DMAzjiSeeMB544AHP8udv9zhlyhSjpKTE+MMf/lDjdo//8z//YwQHBxvPPfecsWvXLuO5557j1mfXyBf9NHv2bOOdd94x9u3bZ3z88cfGmDFjjJCQEOPDDz+87p/PCuraR4ZhGB9//LHx8ccfG7fccotx3333GR9//LHx+eefe+azL5nPF/3EvmS+uvbTsmXLjJCQEOP3v/+9160cv/32W88y7E/m80U/sT+Zq6599NJLLxlvvfWWsXfvXmPv3r3G//k//8eIjo42Zs2a5VmmoexLBP46+v3vf2/cdNNNRmhoqNGjRw9j8+bNnnmjR482+vXr57V8YWGh0b17dyM0NNRo3bq1sWjRohptrlq1yujQoYPRpEkTo2PHjsbq1at9/TEsz+x+mjx5svGjH/3ICA0NNW688UZjyJAhRlFR0fX4KJZV1z6SVON10003eS3DvmQ+s/uJfck36tJP/fr1u2Q/jR492qtN9ifzmd1P7E/mq0sf/fa3vzU6depkhIeHG9HR0Ub37t2Nl19+2XC5XF5tNoR9yWYYP1ydCAAAAMByGMMPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AeARqqwsFA2m03ffvutT7cze/ZsdevWzafbAABcHoEfABqJ/v37a/LkyXVax2azeV6RkZHq2rWrXn/99WuqgwMAALi+CPwAgCvKz8+X0+nUzp07NXLkSI0ZM0bvvvuuv8sCANQSgR8AGoGsrCxt3rxZeXl5njP2+/fv91rm1KlTysjIUK9evXT06FHP9NjYWNntdiUlJenJJ59UXFyc1q9f75lfWVmpsWPHqkWLFoqOjtbAgQO1c+fOWtdWWFio2267TREREYqNjVVaWpoOHDjgmb9o0SIlJSUpNDRUHTp00BtvvFH/HwQANEIEfgBoBPLy8tS7d2898sgjcjqdcjqdatWqlWd+ZWWlhgwZourqam3cuFFxcXE12nC5XFq5cqWOHj2qJk2aSJIMw1BGRobKy8tVUFCgHTt2qEePHho0aJDXQcPlnD17VpmZmerXr58++eQTffDBBxo7dqxsNpskae3atZo0aZKmTZumzz77TOPGjdOYMWO0adMmk34yAGB9If4uAADgezExMQoNDVV4eLjsdrskaffu3ZKkr776SiNHjlRSUpKWL1+u0NBQr3VHjRql4OBgnT59Wi6XS3FxcXr44YclSZs2bdKnn36qiooKhYWFSZJycnK0bt06vfnmmxo7duwV66qqqlJlZaXuvPNOJSUlSZJuvvlmz/ycnBxlZWVp/PjxkqSpU6dq69atysnJ0YABA0z4yQCA9XGGHwAaufT0dLVt21YrV66sEfYlKTc3V8XFxdqwYYO6deum3NxcJScnS5J27NihEydOqHnz5oqMjPS8SktLtW/fvqtuOy4uTllZWRo6dKjuuusu5eXlyel0eubv2rVLaWlpXuukpaVp165d1/ipAaDx4Aw/ADRyGRkZWr16tUpKStSlS5ca8+12u5KTk5WcnKxVq1ape/fuSk1NVUpKitxutxwOhwoLC2usFxsbW6vt5+fna+LEiXrnnXe0YsUKPfXUU9qwYYN69eolSZ7hPecZhlFjGgDg8jjDDwCNRGhoqFwuV43pzz33nEaPHq1BgwappKTkim0kJyfr7rvvVnZ2tiSpR48eKi8vV0hIiOeg4PzrhhtuqHVt3bt3V3Z2toqKitS5c2ctW7ZM0rnhPVu2bPFatqioyGvYDwDgyjjDDwCNROvWrfXhhx9q//79ioyMlNvt9szLycmRy+XSwIEDVVhYqI4dO162nWnTpqlr167avn270tPT1bt3b2VmZmr+/Pnq0KGDDh8+rIKCAmVmZio1NfWKNZWWlmrx4sUaPny4EhIStGfPHu3du1cPPvigJGnGjBkaMWKE50Lgt99+W2vWrNF7771nzg8FABoBzvADQCMxffp0BQcHKyUlRTfeeKO+/PJLr/m5ubkaMWKEBg4cqL179162nS5duig9PV1PP/20bDabCgoK1LdvXz300ENq37697r33Xu3fv1/x8fFXrSk8PFy7d+/W3Xffrfbt22vs2LGaMGGCxo0bJ0nKzMxUXl6eXnjhBXXq1Emvvvqq8vPz1b9//2v6WQBAY2IzDMPwdxEAAAAAfIMz/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAsjMAPAAAAWBiBHwAAALAwAj8AAABgYQR+AAAAwMII/AAAAICFEfgBAAAACyPwAwAAABZG4AcAAAAs7P8DJo3GP0PuSPsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for var, bin, binrange in zip(variables, bins, binranges):\n",
    "    plt.figure(figsize=(9,6))\n",
    "    for type, color in zip(muonflavs, ['red', 'blue', 'green', 'black']):\n",
    "        plt.hist((combined_variables[f'{var}_{type}']), bins=bin, range=binrange, density=True, histtype='step', linewidth=2, color=f'{color}', label=f'{var}_{type}')\n",
    "    plt.legend()\n",
    "    plt.xlabel(f'{var}')\n",
    "    plt.ylabel('Events')\n",
    "    #plt.yscale('log')       "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Questions 1**:\n",
    "* What types of muons would you expect from each sample?\n",
    "* For each variable, overlay the histograms from different sources. Can you explain the differences you observe?\n",
    "* Explain the differences in the number of matched muon stations, number of hit in the tracker layers and isolation variables.\n",
    "* By comparing the various distributions, could you come up with a possible set of cuts to isolate each source of muons?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 2: Standard muon definitions in CMS\n",
    "The CMS Muon Physics Object Group (MUO POG) takes care of everything that concerns muon reconstruction, identification, high-level triggering, performance evaluation and monitoring, corrections, use in physics analysis, etc. Among other tasks, it develops and maintains a number of standard identification and isolation criteria, which are broadly used in analysis across all CMS. The full list of official definitions can be found on this [TWiki page](https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideMuonIdRun2). Here you can find a summary of the most common criteria. These definitions are conveniently implemented as selectors for reco::Muon objects in the [MuonSelectors](https://github.com/cms-sw/cmssw/blob/master/DataFormats/MuonReco/interface/MuonSelectors.h) class, as well as functions in the pat::Muon class."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* *Loose Muons*\n",
    "```c++\n",
    "bool pat::Muon::isLooseMuon() \n",
    "bool muon::isLooseMuon(const reco::Muon& muon) {\n",
    "    return muon.isPFMuon() && (muon.isGlobalMuon() || muon.isTrackerMuon());\n",
    "}\n",
    "```\n",
    "\n",
    "* *Medium Muons*\n",
    "```c++\n",
    "bool pat::Muon::isMediumMuon() \n",
    "bool muon::isMediumMuon(const reco::Muon& muon) {\n",
    "    if( !( isLooseMuon(muon) && muon.innerTrack()->validFraction()>0.8 )) return false; \n",
    "\n",
    "    bool goodGlb = muon.isGlobalMuon() && \n",
    "        muon.globalTrack()->normalizedChi2()<3. && \n",
    "        muon.combinedQuality().chi2LocalPosition<12. && \n",
    "        muon.combinedQuality().trkKink<20.; \n",
    "\n",
    "    return (segmentCompatibility(muon) > (goodGlb ? 0.303 : 0.451)); \n",
    "}\n",
    "```\n",
    " \n",
    "* *Tight Muons*\n",
    "```c++\n",
    "bool pat::Muon::isTightMuon(const reco::Vertex& vtx) \n",
    "bool muon::isTightMuon(const reco::Muon& muon, const reco::Vertex& vtx) {\n",
    "    if(!muon.isPFMuon() || !muon.isGlobalMuon()) return false;\n",
    "    bool muID = muon.isGlobalMuon() && muon.globalTrack()->normalizedChi2()<10. && muon.globalTrack()->hitPattern().numberOfValidMuonHits()>0 && muon.numberOfMatchedStations()>1;  \n",
    "    bool hits = muon.innerTrack()->hitPattern().trackerLayersWithMeasurement()>5 && muon.innerTrack()->hitPattern().numberOfValidPixelHits()>0; \n",
    "    bool ip = fabs(muon.muonBestTrack()->dxy(vtx.position()))<0.2 && fabs(muon.muonBestTrack()->dz(vtx.position()))<0.5;\n",
    "  \n",
    "    return muID && hits && ip;\n",
    "} \n",
    "```\n",
    "\n",
    "* *Soft Muons* \n",
    "```c++ \n",
    "bool pat::Muon::isSoftMuon(const reco::Vertex& vtx) \n",
    "bool muon::isSoftMuon(const reco::Muon& muon, const reco::Vertex& vtx) {\n",
    "    bool muID = muon::isGoodMuon(muon, TMOneStationTight);\n",
    "    if(!muID) return false;\n",
    "  \n",
    "    bool layers = muon.innerTrack()->hitPattern().trackerLayersWithMeasurement()>5 &&\n",
    "        muon.innerTrack()->hitPattern().pixelLayersWithMeasurement()>0;\n",
    "    bool ishighq = muon.innerTrack()->quality(reco::Track::highPurity); \n",
    "    bool ip = fabs(muon.innerTrack()->dxy(vtx.position()))<0.3 && fabs(muon.innerTrack()->dz(vtx.position()))<20.;\n",
    "  \n",
    "    return layers && ip && ishighq;\n",
    "}\n",
    "```\n",
    "\n",
    "* *HighPt Muons* \n",
    "\n",
    "```c++ \n",
    "bool pat::Muon::isHighPtMuon(const reco::Vertex& vtx) \n",
    "bool muon::isHighPtMuon(const reco::Muon& muon, const reco::Vertex& vtx){\n",
    "    bool muID = muon.isGlobalMuon() && muon.globalTrack()->hitPattern().numberOfValidMuonHits()>0 &(muon.numberOfMatchedStations()>1);\n",
    "    if(!muID) return false;\n",
    "\n",
    "    bool hits = muon.innerTrack()->hitPattern().trackerLayersWithMeasurement()>5 &&\n",
    "        muon.innerTrack()->hitPattern().numberOfValidPixelHits()>0; \n",
    "    bool momQuality = muon.tunePMuonBestTrack()->ptError()/muon.tunePMuonBestTrack()->pt()<0.3;\n",
    "    bool ip = fabs(muon.innerTrack()->dxy(vtx.position()))<0.2 && fabs(muon.innerTrack()->dz(vtx.position()))<0.5;\n",
    "  \n",
    "  return muID && hits && momQuality && ip;\n",
    "}\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Questions 2**:\n",
    "* Given the implementation of the functions above, can you guess which types of muons each selection is meant to address, and why?\n",
    "* The HighPt muon definition is very similar to the Tight muon one, but it adds a requirement on the transverse momentum resolution, σ(pT)/pT < 0.3. Can you find an explanation?\n",
    "* Verify your guesses by adding these selections in your analyzer. Produce distributions for some variables (e.g. pT) for each muon category, after applying each of the selections above, one at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for id in muonid:\n",
    "    plt.figure(figsize=(9,6))\n",
    "    for type, color in zip(muonflavs, ['red', 'blue', 'green', 'black']):\n",
    "        plt.hist((combined_variables[f'{id}_{type}_pt']), bins=20, range=[0, 100], density=True, histtype='step',linewidth=2, color=f'{color}', label=f'{id}_{type}_pt')\n",
    "    plt.legend()\n",
    "    plt.xlabel(f'{id}_pt GeV')\n",
    "    plt.ylabel('Events')\n",
    "    #plt.yscale('log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 3: Muon isolation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now take a detailed look at the isolation variables mentioned at the beginning of Exercise 3. The most common muon isolation algorithm in CMS makes use of the PF candidates found in a region of &Delta;R < 0.4 around the muon track: \n",
    "```c++ \n",
    "mu->pfIsolationR04().sumChargedHadronPt   // pT sum of charged hadrons from the main primary vertex of the event \n",
    "mu->pfIsolationR04().sumNeutralHadronEt   // pT sum of neutral hadrons \n",
    "mu->pfIsolationR04().sumPhotonEt          // pT sum of photons \n",
    "```\n",
    "In order to exploit the full-detector information, these variables can be combined in a single isolation variable: \n",
    "```c++ \n",
    "const reco::MuonPFIsolation &pfR04 = mu->pfIsolationR04();\n",
    "double combRelIso = (pfR04.sumChargedHadronPt + pfR04.sumNeutralHadronEt + pfR04.sumPhotonE) / mu->pt();   // combined relative isolation \n",
    "```\n",
    "The combined isolation turns out to perform better than the individual components separately in terms of efficiency _vs_ background rejection.<BR> \n",
    "Note that for neutral particles (photons and neutral hadrons) it is impossible to determine the vertex they originated from, since they don't have a track. Therefore neutral particles from pileup vertices contribute to the $P_T$ sum, and the performance of the combined isolation results to be strongly dependent on the pileup level. Corrections are available to mitigate such effect. The most common in CMS is called \"&Delta;&beta; correction\": it estimates the &Sigma;$P_T$ of neutral particles coming from pileup vertices using \n",
    "   1. the &Sigma;$P_T$ of charged particles from pileup vertices (mu->pfIsolationR04().sumPUPt), and \n",
    "   1. the ratio of neutral-to-charged particles expected in LHC proton-proton collisions. From simulation studies, this ratio results to be about 0.5. \n",
    "\n",
    "We can now define a &Delta;&beta;-corrected combined relative isolation_, less sensitive to the number of pileup vertices: \n",
    "\n",
    "```c++ \n",
    "const reco::MuonPFIsolation &pfR04 = mu->pfIsolationR04();\n",
    "double corrCombRelIso = (pfR04.sumChargedHadronPt + std::max(0.0, pfR04.sumNeutralHadronEt + pfR04.sumPhotonEt - 0.5*pfR04.sumPUPt)) / mu->pt();\n",
    "``` \n",
    "\n",
    "All the variables described above can be find in a minAOD file. In nanoAOD, the _&Delta;&beta;-corrected combined relative isolation is already calculated for you. It is stored as Muon_pfRelIso04_all. In addition, it is the only isolation variable in a region of &Delta;R < 0.4 around the muon track stored in nanoAOD currently.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Questions 3**:\n",
    "* In your analyzer, add distributions of the number of reconstructed primary vertices at different stages of the selection:\n",
    " 1. for all muons,\n",
    " 1. for muons passing the Tight ID,\n",
    " 1. for muons passing the Tight ID plus the same cut on Muon_pfRelIso04_all, e.g. Muon_pfRelIso04_all < 0.15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Events')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,6))\n",
    "for name, color in zip(['npvs_muon_mask','npvs_muon_mask_tightid','npvs_muon_mask_tightid_pfreliso04_all'],['red', 'blue', 'green']):\n",
    "    plt.hist((combined_variables[name]), bins=100, range=[0, 100], density=False, histtype='step',linewidth=2, color=f'{color}', label=name)\n",
    "plt.legend()\n",
    "plt.xlabel('number of pvs')\n",
    "plt.ylabel('Events')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "HATS 2024",
   "language": "python",
   "name": "hats2024"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}