agc-coffea-2024.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fee9ca04-7047-4aff-8f18-9eee5c90bee0",
   "metadata": {},
   "source": [
    "# AGC + calver coffea on coffea-casa\n",
    "\n",
    "We'll base this on a few sources:\n",
    "- https://github.com/iris-hep/analysis-grand-challenge/tree/main/analyses/cms-open-data-ttbar (AGC, of course)\n",
    "- https://github.com/alexander-held/CompHEP-2023-AGC (contains a simplified version of AGC)\n",
    "- https://github.com/nsmith-/TTGamma_LongExercise/ (credit Nick Smith for helpful examples of the new API)\n",
    "- (and if time allows, weight features: https://github.com/CoffeaTeam/coffea/blob/backports-v0.7.x/binder/accumulators.ipynb / https://coffeateam.github.io/coffea/api/coffea.analysis_tools.Weights.html#coffea.analysis_tools.Weights.partial_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "60ce3f51",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.12/site-packages/coffea/nanoevents/schemas/fcc.py:5: FutureWarning: In version 2025.1.0 (target date: 2024-12-31 11:59:59-06:00), 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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "awkward: 2.7.4\n",
      "dask-awkward: 2025.2.0\n",
      "uproot: 5.5.1\n",
      "hist: 2.8.0\n",
      "coffea: 2025.1.1\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import awkward as ak\n",
    "import dask\n",
    "import dask_awkward as dak\n",
    "import hist.dask\n",
    "import coffea\n",
    "import numpy as np\n",
    "import uproot\n",
    "from dask.distributed import Client\n",
    "import cloudpickle\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from coffea.nanoevents import NanoEventsFactory, NanoAODSchema\n",
    "from coffea.analysis_tools import PackedSelection\n",
    "from coffea import dataset_tools\n",
    "import correctionlib\n",
    "\n",
    "import warnings\n",
    "\n",
    "import utils\n",
    "from utils.systematics import rand_gauss\n",
    "utils.plotting.set_style()\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "NanoAODSchema.warn_missing_crossrefs = False # silences warnings about branches we will not use here\n",
    "\n",
    "client = Client(\"tls://localhost:8786\")\n",
    "\n",
    "print(f\"awkward: {ak.__version__}\")\n",
    "print(f\"dask-awkward: {dak.__version__}\")\n",
    "print(f\"uproot: {uproot.__version__}\")\n",
    "print(f\"hist: {hist.__version__}\")\n",
    "print(f\"coffea: {coffea.__version__}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "031d205f-6ca9-4b57-b799-3ab95be075b2",
   "metadata": {},
   "source": [
    "### Produce an AGC histogram with Dask (no coffea yet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7d54a71e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_trijet_mass(events):\n",
    "    # pT > 30 GeV for leptons, > 25 GeV for jets\n",
    "    selected_electrons = events.Electron[(events.Electron.pt > 30) & (np.abs(events.Electron.eta) < 2.1)]\n",
    "    selected_muons = events.Muon[(events.Muon.pt > 30) & (np.abs(events.Muon.eta) < 2.1)]\n",
    "    selected_jets = events.Jet[(events.Jet.pt > 25) & (np.abs(events.Jet.eta) < 2.4)]\n",
    "\n",
    "    # single lepton requirement\n",
    "    event_filters = ((ak.count(selected_electrons.pt, axis=1) + ak.count(selected_muons.pt, axis=1)) == 1)\n",
    "    # at least four jets\n",
    "    event_filters = event_filters & (ak.count(selected_jets.pt, axis=1) >= 4)\n",
    "    # at least two b-tagged jets (\"tag\" means score above threshold)\n",
    "    B_TAG_THRESHOLD = 0.5\n",
    "    event_filters = event_filters & (ak.sum(selected_jets.btagCSVV2 > B_TAG_THRESHOLD, axis=1) >= 2)\n",
    "\n",
    "    # apply filters\n",
    "    selected_jets = selected_jets[event_filters]\n",
    "\n",
    "    trijet = ak.combinations(selected_jets, 3, fields=[\"j1\", \"j2\", \"j3\"])  # trijet candidate\n",
    "    trijet[\"p4\"] = trijet.j1 + trijet.j2 + trijet.j3  # four-momentum of tri-jet system\n",
    "\n",
    "    trijet[\"max_btag\"] = np.maximum(trijet.j1.btagCSVV2, np.maximum(trijet.j2.btagCSVV2, trijet.j3.btagCSVV2))\n",
    "    trijet = trijet[trijet.max_btag > B_TAG_THRESHOLD]  # at least one-btag in trijet candidates\n",
    "    # pick trijet candidate with largest pT and calculate mass of system\n",
    "    trijet_mass = trijet[\"p4\"][ak.argmax(trijet.p4.pt, axis=1, keepdims=True)].mass\n",
    "    return ak.flatten(trijet_mass)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3be5324b-54da-4e28-96bf-15d31833d8ce",
   "metadata": {},
   "source": [
    "Reading in the ROOT file, we can now create a Dask task graph for the calculations and plot that we want to make using `dask-awkward` and `hist.dask`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3559c86f",
   "metadata": {},
   "outputs": [],
   "source": [
    "ttbar_file = \"https://xrootd-local.unl.edu:1094//store/user/AGC/nanoAOD/\"\\\n",
    "    \"TT_TuneCUETP8M1_13TeV-powheg-pythia8/cmsopendata2015_ttbar_19981_PU25nsData2015v1_76X_\"\\\n",
    "    \"mcRun2_asymptotic_v12_ext4-v1_80000_0007.root\"\n",
    "\n",
    "events = NanoEventsFactory.from_root({ttbar_file: \"Events\"}, schemaclass=NanoAODSchema).events()\n",
    "\n",
    "# create the task graph to build a histogram\n",
    "reconstructed_top_mass = calculate_trijet_mass(events)\n",
    "hist_reco_mtop = hist.dask.Hist.new.Reg(16, 0, 375, label=\"$m_{bjj}$\").Double().fill(reconstructed_top_mass)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfca01ad-a6b6-4bc6-9742-20092532a3f2",
   "metadata": {},
   "source": [
    "and then once we're ready we can execute the task graph with `.compute()` to get our visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a1b3d2d1-7b45-47f6-830d-7c46b479f7d9",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# perform computation and visualize\n",
    "artists = hist_reco_mtop.compute().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "998956ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and annotate the visualization\n",
    "fig_dir = Path.cwd() / \"figures\"\n",
    "fig_dir.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "ax = artists[0].stairs.axes\n",
    "fig = ax.get_figure()\n",
    "ax.vlines(175, 0, 10000, colors=[\"grey\"], linestyle=\"dotted\")\n",
    "ax.text(180, 150, \"$m_{t} = 175$ GeV\")\n",
    "ax.set_xlim([0, 375])\n",
    "ax.set_ylim([0, 8000])\n",
    "\n",
    "fig.savefig(fig_dir / \"trijet_mass.png\", dpi=300)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0ac9b5e-cb0c-48a5-9153-c01d6d0cef7f",
   "metadata": {},
   "source": [
    "This all matches the (non-Dask) versions of the plots from last summer — see the notebook linked above. Not surprising, but reassuring!\n",
    "\n",
    "### Time for coffea\n",
    "\n",
    "We'll first write the functions to compute the observable and do the histogramming using `awkward-dask` and `hist.dask` again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2e423c58",
   "metadata": {},
   "outputs": [],
   "source": [
    "B_TAG_THRESHOLD = 0.5\n",
    "cset = correctionlib.CorrectionSet.from_file(\"corrections.json\")\n",
    "\n",
    "# perform object selection\n",
    "def object_selection(elecs, muons, jets):\n",
    "    electron_reqs = (elecs.pt > 30) & (np.abs(elecs.eta) < 2.1) & (elecs.cutBased == 4) & (elecs.sip3d < 4)\n",
    "    muon_reqs = ((muons.pt > 30) & (np.abs(muons.eta) < 2.1) & (muons.tightId) & (muons.sip3d < 4) &\n",
    "                 (muons.pfRelIso04_all < 0.15))\n",
    "    jet_reqs = (jets.pt > 30) & (np.abs(jets.eta) < 2.4) & (jets.isTightLeptonVeto)\n",
    "\n",
    "    # Only keep objects that pass our requirements\n",
    "    elecs = elecs[electron_reqs]\n",
    "    muons = muons[muon_reqs]\n",
    "    jets = jets[jet_reqs]\n",
    "\n",
    "    return elecs, muons, jets\n",
    "\n",
    "\n",
    "# event selection for 4j1b and 4j2b\n",
    "def region_selection(elecs, muons, jets):\n",
    "    ######### Store boolean masks with PackedSelection ##########\n",
    "    selections = PackedSelection(dtype='uint64')\n",
    "    # Basic selection criteria\n",
    "    selections.add(\"exactly_1l\", (ak.num(elecs) + ak.num(muons)) == 1)\n",
    "    selections.add(\"atleast_4j\", ak.num(jets) >= 4)\n",
    "    selections.add(\"exactly_1b\", ak.sum(jets.btagCSVV2 > B_TAG_THRESHOLD, axis=1) == 1)\n",
    "    selections.add(\"atleast_2b\", ak.sum(jets.btagCSVV2 > B_TAG_THRESHOLD, axis=1) >= 2)\n",
    "    # Complex selection criteria\n",
    "    selections.add(\"4j1b\", selections.all(\"exactly_1l\", \"atleast_4j\", \"exactly_1b\"))\n",
    "    selections.add(\"4j2b\", selections.all(\"exactly_1l\", \"atleast_4j\", \"atleast_2b\"))\n",
    "\n",
    "    return selections\n",
    "\n",
    "\n",
    "# observable calculation for 4j2b\n",
    "def calculate_m_reco_top(jets):\n",
    "    # reconstruct hadronic top as bjj system with largest pT\n",
    "    trijet = ak.combinations(jets, 3, fields=[\"j1\", \"j2\", \"j3\"])  # trijet candidates\n",
    "    trijet[\"p4\"] = trijet.j1 + trijet.j2 + trijet.j3  # four-momentum of tri-jet system\n",
    "    trijet[\"max_btag\"] = np.maximum(trijet.j1.btagCSVV2,\n",
    "                                    np.maximum(trijet.j2.btagCSVV2, trijet.j3.btagCSVV2))\n",
    "    trijet = trijet[trijet.max_btag > B_TAG_THRESHOLD]  # at least one-btag in candidates\n",
    "    # pick trijet candidate with largest pT and calculate mass of system\n",
    "    trijet_mass = trijet[\"p4\"][ak.argmax(trijet.p4.pt, axis=1, keepdims=True)].mass\n",
    "    observable = ak.flatten(trijet_mass)\n",
    "\n",
    "    return observable\n",
    "\n",
    "\n",
    "# create histograms with observables\n",
    "def create_histograms(events):\n",
    "    hist_4j1b = (\n",
    "        hist.dask.Hist.new.Reg(25, 50, 550, name=\"HT\", label=r\"$H_T$ [GeV]\")\n",
    "        .StrCat([], name=\"process\", label=\"Process\", growth=True)\n",
    "        .StrCat([], name=\"variation\", label=\"Systematic variation\", growth=True)\n",
    "        .Weight()\n",
    "    )\n",
    "\n",
    "    hist_4j2b = (\n",
    "        hist.dask.Hist.new.Reg(25, 50, 550, name=\"m_reco_top\", label=r\"$m_{bjj}$ [GeV]\")\n",
    "        .StrCat([], name=\"process\", label=\"Process\", growth=True)\n",
    "        .StrCat([], name=\"variation\", label=\"Systematic variation\", growth=True)\n",
    "        .Weight()\n",
    "    )\n",
    "\n",
    "    hist_dict = {\"4j1b\": hist_4j1b, \"4j2b\": hist_4j2b}\n",
    "\n",
    "    process = events.metadata[\"process\"]  # \"ttbar\" etc.\n",
    "    variation = events.metadata[\"variation\"]  # \"nominal\" etc.\n",
    "    process_label = events.metadata[\"process_label\"]  # nicer LaTeX labels\n",
    "\n",
    "    # normalization for MC\n",
    "    x_sec = events.metadata[\"xsec\"]\n",
    "    nevts_total = events.metadata[\"nevts\"]\n",
    "    lumi = 3378 # /pb\n",
    "    if process != \"data\":\n",
    "        xsec_weight = x_sec * lumi / nevts_total\n",
    "    else:\n",
    "        xsec_weight = 1\n",
    "\n",
    "    events[\"pt_scale_up\"] = 1.03\n",
    "    events[\"pt_res_up\"] = dak.map_partitions(rand_gauss, events.Jet.pt)\n",
    "\n",
    "    syst_variations = [\"nominal\"]\n",
    "    jet_kinematic_systs = [\"pt_scale_up\", \"pt_res_up\"]\n",
    "    event_systs = [f\"btag_var_{i}\" for i in range(4)]\n",
    "    if process == \"wjets\":\n",
    "        event_systs.append(\"scale_var\")\n",
    "    \n",
    "    if variation == \"nominal\":\n",
    "        syst_variations.extend(jet_kinematic_systs)\n",
    "        syst_variations.extend(event_systs)\n",
    "    \n",
    "    for syst_var in syst_variations:\n",
    "        elecs = events.Electron\n",
    "        muons = events.Muon\n",
    "        jets = events.Jet\n",
    "\n",
    "        if syst_var in jet_kinematic_systs:\n",
    "            jets[\"pt\"] = jets.pt * events[syst_var]\n",
    "    \n",
    "        elecs, muons, jets = object_selection(elecs, muons, jets)\n",
    "\n",
    "        # region selection\n",
    "        selections = region_selection(elecs, muons, jets)\n",
    "\n",
    "        for region in hist_dict:\n",
    "            selection = selections.all(region)\n",
    "            region_jets = jets[selection]\n",
    "            region_weights = dak.ones_like(dak.num(region_jets, axis=1)) * xsec_weight\n",
    "            if region == \"4j1b\":\n",
    "                observable = ak.sum(region_jets.pt, axis=-1)\n",
    "            elif region == \"4j2b\":\n",
    "                observable = calculate_m_reco_top(region_jets)\n",
    "            syst_var_name = f\"{syst_var}\"\n",
    "            if syst_var in event_systs:\n",
    "                for i_dir, direction in enumerate([\"up\", \"down\"]):\n",
    "                    if syst_var == \"scale_var\":\n",
    "                        wgt_variation = cset[\"event_systematics\"].evaluate(\"scale_var\", direction, region_jets.pt[:, 0])\n",
    "                    elif syst_var.startswith(\"btag_var\"):\n",
    "                        i_jet = int(syst_var.rsplit(\"_\",1)[-1])\n",
    "                        wgt_variation = cset[\"event_systematics\"].evaluate(\"btag_var\", direction, region_jets.pt[:,i_jet])\n",
    "                    syst_var_name = f\"{syst_var}_{direction}\"\n",
    "                    hist_dict[region].fill(\n",
    "                        observable,\n",
    "                        process=process_label,\n",
    "                        variation=syst_var_name,\n",
    "                        weight=region_weights * wgt_variation,\n",
    "                    )\n",
    "            else:\n",
    "                if variation != \"nominal\":\n",
    "                    syst_var_name = variation\n",
    "                hist_dict[region].fill(\n",
    "                    observable,\n",
    "                    process=process_label,\n",
    "                    variation=syst_var_name,\n",
    "                    weight=region_weights,\n",
    "                )\n",
    "\n",
    "    return hist_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfa509fd-17c5-4a67-bd5c-20f289447f26",
   "metadata": {},
   "source": [
    "and prepare the fileset we need"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "41170d6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# fileset preparation\n",
    "N_FILES_MAX_PER_SAMPLE = 1\n",
    "# compared to coffea 0.7: list of file paths becomes list of dicts (path: trename)\n",
    "fileset = utils.file_input.construct_fileset(N_FILES_MAX_PER_SAMPLE)\n",
    "\n",
    "# fileset = {\"ttbar__nominal\": fileset[\"ttbar__nominal\"]}  # to only process nominal ttbar\n",
    "# fileset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5f15b2f-564c-4f3d-810f-19f188c1bae5",
   "metadata": {},
   "source": [
    "Now we can start using `coffea` with its Dask capabilities. One of the things we need to do is to build the full task graph, which requires looping over all the sample variations (`samples`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "926a27b0",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 94.4 ms, sys: 7.08 ms, total: 101 ms\n",
      "Wall time: 5.51 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# pre-process\n",
    "samples, _ = dataset_tools.preprocess(fileset, step_size=250_000)\n",
    "\n",
    "# workaround for https://github.com/CoffeaTeam/coffea/issues/1050 (metadata gets dropped, already fixed)\n",
    "for k, v in samples.items():\n",
    "    v[\"metadata\"] = fileset[k][\"metadata\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2b09fb9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 11.2 s, sys: 276 ms, total: 11.5 s\n",
      "Wall time: 11.9 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "cloudpickle.register_pickle_by_value(utils) # serialize methods and objects in utils so that they can be accessed within the coffea processor\n",
    "# create the task graph\n",
    "tasks = dataset_tools.apply_to_fileset(create_histograms, samples, uproot_options={\"allow_read_errors_with_report\": True})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8ea1921-53b3-4bbb-be84-a904d6f80447",
   "metadata": {},
   "source": [
    "and then we can finally execute the full task graph with Dask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "37fbcd84",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total time spent in uproot reading data (or some related metric?): 78.69 s\n",
      "CPU times: user 3.56 s, sys: 117 ms, total: 3.68 s\n",
      "Wall time: 1min 19s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# execute\n",
    "((out, report),) = dask.compute(tasks)  # feels strange that this is a tuple-of-tuple\n",
    "\n",
    "print(f\"total time spent in uproot reading data (or some related metric?): {ak.sum([v['duration'] for v in report.values()]):.2f} s\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3222d6cd-aa5e-4c90-a17b-4da37572c8f7",
   "metadata": {},
   "source": [
    "To visualize the results, we need to first stack the serperate histograms that were computed individually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "714929f5-9c56-4afa-87e6-5d096af21ee8",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": []
   },
   "outputs": [],
   "source": [
    "# stack all the histograms together (we processed each sample separately)\n",
    "full_histogram_4j1b = sum([v[\"4j1b\"] for v in out.values()])\n",
    "full_histogram_4j2b = sum([v[\"4j2b\"] for v in out.values()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ea0c0147-6b4e-4ae7-b4e1-b8eb6b764c23",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "artists = full_histogram_4j1b[120j::hist.rebin(2), :, \"nominal\"].stack(\"process\")[::-1].plot(\n",
    "    stack=True, histtype=\"fill\", linewidth=1,edgecolor=\"grey\"\n",
    ")\n",
    "\n",
    "ax = artists[0].stairs.axes\n",
    "fig = ax.get_figure()\n",
    "\n",
    "ax.legend(frameon=False)\n",
    "ax.set_title(\">= 4 jets, 1 b-tag\");\n",
    "\n",
    "fig.savefig(fig_dir / \"coffea_4j_1b.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "44ba9e07-ec3c-4cdb-be16-4cab17e02a33",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "artists = full_histogram_4j2b[:, :, \"nominal\"].stack(\"process\")[::-1].plot(\n",
    "    stack=True, histtype=\"fill\", linewidth=1,edgecolor=\"grey\"\n",
    ")\n",
    "\n",
    "ax = artists[0].stairs.axes\n",
    "fig = ax.get_figure()\n",
    "\n",
    "ax.legend(frameon=False)\n",
    "ax.set_title(\">= 4 jets, >= 2 b-tags\");\n",
    "\n",
    "fig.savefig(fig_dir / \"coffea_4j_2b.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "099bf54a-98bd-4e11-8d38-516ed915a25f",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# b-tagging variations\n",
    "ttbar_label = '$t\\\\bar{t}$'\n",
    "full_histogram_4j1b[120j::hist.rebin(2), ttbar_label, \"nominal\"].plot(label=\"nominal\", linewidth=2)\n",
    "full_histogram_4j1b[120j::hist.rebin(2), ttbar_label, \"btag_var_0_up\"].plot(label=\"NP 1\", linewidth=2)\n",
    "full_histogram_4j1b[120j::hist.rebin(2), ttbar_label, \"btag_var_1_up\"].plot(label=\"NP 2\", linewidth=2)\n",
    "full_histogram_4j1b[120j::hist.rebin(2), ttbar_label, \"btag_var_2_up\"].plot(label=\"NP 3\", linewidth=2)\n",
    "full_histogram_4j1b[120j::hist.rebin(2), ttbar_label, \"btag_var_3_up\"].plot(label=\"NP 4\", linewidth=2)\n",
    "plt.legend(frameon=False)\n",
    "plt.xlabel(\"$H_T$ [GeV]\")\n",
    "plt.title(\"b-tagging variations\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6c09d371-f43b-4288-8a6c-a6419235141e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# jet energy scale variations\n",
    "full_histogram_4j2b[:, ttbar_label, \"nominal\"].plot(label=\"nominal\", linewidth=2)\n",
    "full_histogram_4j2b[:, ttbar_label, \"pt_scale_up\"].plot(label=\"scale up\", linewidth=2)\n",
    "full_histogram_4j2b[:, ttbar_label, \"pt_res_up\"].plot(label=\"resolution up\", linewidth=2)\n",
    "plt.legend(frameon=False)\n",
    "plt.xlabel(\"$m_{bjj}$ [Gev]\")\n",
    "plt.title(\"Jet energy variations\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c1b5c32-88fd-41ea-8d55-555d84dd287c",
   "metadata": {},
   "source": [
    "This is a plot you can compare to the one in the full AGC notebook — you'll notice they look the same. Success!\n",
    "\n",
    "If we now investigate the task graph for the nominal $t\\bar{t}$ sample in the optimzied view, which hides from us some of the complexity of the graph we created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d9195b47-34d0-4947-9691-1563580c3790",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QxLKzszV48GANHTpUo0eP1qZNm+Tr62s6C8VE//79tXfvXrm7u6t58+Zau3at6SQAAJwSgwkAAEXo5MmTat++vZYvX64VK1Zo4sSJcnV1NZ2FYqZGjRraunWrevfurR49emjs2LGy2WymswAAcCoMJgAAFJG4uDg1a9ZMFy5c0K5duxQSEmI6CcVYqVKl9OGHH+qDDz7QzJkzFRwcrMzMTNNZAAA4DQYTAACKwJIlS9SlSxe1bdtW//vf/1S3bl3TSSghhg4dqk2bNum7777TAw88oJMnT5pOAgDAKTCYAABQyMLDw/XYY49p6NChioyMVNmyZU0noYRp2bKldu3aJRcXF7Vo0UK7d+82nQQAgMNjMAEAoJDk5uZq2LBhGj16tGbNmqXw8HC5uPCvXvw1d911l+Li4tSkSRO1b9+ew2ABAChk/KkNAIBCkJWVpUceeUSLFy/WqlWrNHz4cNNJcADlypXTqlWr1Lt3b/Xq1UuLFy82nQQAgMNyMx0AAICj+eWXX9SzZ0/t3btXGzduVIsWLUwnwYG4u7srIiJCd9xxhwYOHKhff/1VQ4cONZ0FAIDDYTABAKAAnT9/Xt26ddPhw4cVExOjxo0bm06CA7JYLJo2bZoqVKigYcOG6cKFC3rhhRdMZwEA4FAYTAAAKCBpaWnq0qWLfv75Z8XGxqp+/fqmk+DgxowZIw8PD40ePVoXL17Uv//9b9NJAAA4DAYTAAAKwPnz59WlSxelp6crLi5ONWvWNJ0EJzFy5EiVKVNGw4YNk5ubm15++WXTSQAAOAQGEwAA/qaLFy8qODhYZ86cYSyBEUOGDFFubq5CQ0Pl4eHB7TkAABQABhMAAP6GnJwchYSEKDExUZs2bVKtWrVMJ8FJPfvss8rJydGoUaPk7e2tIUOGmE4CAKBEYzABAOAvunz5sv7xj39ox44diomJkb+/v+kkOLkRI0YoPT1dzz77rG677Tb169fPdBIAACUWgwkAAH/RM888o9jYWG3cuJFPw0Gx8frrryszM1MDBw5UlSpV1K5dO9NJAACUSAwmAAD8BRMnTtSiRYu0cuVKtWjRwnQOcJV33nlHP//8s3r27KktW7aoYcOGppMAAChxLHa73W46AgCAkmT58uUaMGCAZs2apdDQUNM5wHVlZWWpY8eOSklJ0fbt21W5cmXTSQAAlCQRLqYLAAAoSeLi4jRw4ECNGjWKsQTFmqenp7744gu5uLioZ8+eunTpkukkAABKFN5hAgDATTpx4oTuvfdePfDAA1qxYoVcXPh7BxR/Bw8eVKtWrdS9e3d9/PHHpnMAACgpeIcJAAA3Izs7WyEhIapQoYIWLFjAWIISo27dulq2bJmWLFmi999/33QOAAAlBn/aAwDgJoSGhioxMVGff/65vL29TecAt6Rz587697//rZEjR2rz5s2mcwAAKBG4JQcAgD/xySefaODAgVqxYoVCQkJM5wB/id1uV+/evbVt2zbt3r1bd955p+kkAACKswgGEwAA/sD+/fvVokULvfDCC3rzzTdN5wB/S0ZGhpo3b67q1asrKiqKW8sAALgxBhMAAG4kOztb999/v8qWLavY2Fi5urqaTgL+tu+++06tWrXSxIkT9eKLL5rOAQCguOLQVwAAbmTMmDFKTk7W4sWLGUvgMJo1a6bXX39dr7zyinbu3Gk6BwCAYot3mAAAcB0bNmxQUFCQPvnkEz366KOmc4ACZbPZ1LlzZx0/flx79uxR2bJlTScBAFDccEsOAAD5paWlKSAgQO3bt9eSJUtM5wCF4sSJE2rcuLEGDBjAxw0DAHAtbskBACC/0aNHy2KxaM6cOaZTgEJTrVo1vffee/rggw8UFxdnOgcAgGKHd5gAAPA7MTEx6tSpk1auXKlevXqZzgEKXc+ePZWYmKj4+Hh5enqazgEAoLjgHSYAAFxx8eJFDRkyRCEhIYwlcBqzZ89WSkqKJk2aZDoFAIBihcEEAID/79VXX1VqaqpmzpxpOgUoMtWrV9fEiRM1depU7d2713QOAADFBrfkAAAgKT4+Xvfee6/+85//aNCgQaZzgCJls9kUGBgoV1dXbd68WRaLxXQSAACm8Sk5AABIUufOnZWenq4dO3bIxYU3YML57NmzR/fdd58+/fRT9e/f33QOAACmcYYJAAArV67Uxo0bNXPmTMYSOK2mTZtq4MCBevHFF/Xrr7+azgEAwDj+VAgAcGo5OTkaO3asHn30UbVp08Z0DmDUlClTlJmZqbffftt0CgAAxjGYAACc2rvvvquUlBRNmTLFdApgXOXKlfXyyy/rrbfe0okTJ0znAABgFGeYAACcVnp6umrVqqWwsDBNmDDBdA5QLGRnZ+uee+5Rx44d9eGHH5rOAQDAFM4wAQA4rxkzZsjV1VWjRo0ynQIUG6VKldL48eO1YMECHTx40HQOAADGMJgAAJxSamqqZs2apRdffFHe3t6mc4Bi5fHHH1ft2rU1adIk0ykAABjDYAIAcErTpk1TqVKl9Oyzz5pOAYodV1dXjR8/Xp9++qkSEhJM5wAAYARnmAAAnM7p06fl5+eniRMnauTIkaZzgGLJZrOpUaNGCggI0NKlS03nAABQ1DjDBADgfGbPnq1y5crpmWeeMZ0CFFsuLi569dVXtWLFCh05csR0DgAARY7BBADgVC5evKi5c+dq+PDhKl26tOkcoFjr06ePfH19NXPmTNMpAAAUOQYTAIBTiYiI0KVLlzRs2DDTKUCx5+rqqueee04RERFKS0sznQMAQJFiMAEAOA2bzabw8HA98cQT8vHxMZ0DlAiDBg1S6dKl9Z///Md0CgAARYrBBADgNFatWqUff/xRYWFhplOAEqNMmTIaPHiw3nvvPWVnZ5vOAQCgyDCYAACcxgcffKBu3bqpbt26plOAEiU0NFSpqan6/PPPTacAAFBkGEwAAE7h6NGj2rhxo4YMGWI6BShx7rrrLnXt2lUfffSR6RQAAIoMgwkAwCl89NFHqly5srp27Wo6BSiRBg8erJiYGB0+fNh0CgAARYLBBADg8HJzc7Vw4UINGjRIbm5upnOAEqlbt266++67FRERYToFAIAiwWACAHB4a9eu1enTp/XUU0+ZTgFKLFdXVz3xxBNauHChcnNzTecAAFDoGEwAAA5v8eLFevDBB+Xr62s6BSjRnnjiCZ0+fVrR0dGmUwAAKHQMJgAAh3bhwgV99dVX6t+/v+kUoMSrVauWmjdvrsjISNMpAAAUOgYTAIBDW716tXJzc/XII4+YTgEcQt++ffX5558rOzvbdAoAAIWKwQQA4NAiIyPVqVMnVaxY0XQK4BD69u2r8+fPKyoqynQKAACFisEEAOCwMjMztWHDBvXr1890CuAwqlWrplatWnFbDgDA4TGYAAAc1pdffimr1aqePXuaTgEcSp8+fbRmzRo+LQcA4NAYTAAADmvdunVq3bq1ypcvbzoFcCjdunVTRkaG/ve//5lOAQCg0DCYAAAcks1m04YNG9S1a1fTKYDDqVu3rvz8/LR+/XrTKQAAFBoGEwCAQ/ruu+905swZBhOgkAQFBWndunWmMwAAKDQMJgAAh7R+/XpVrVpVAQEBplMAhxQUFKQ9e/YoJSXFdAoAAIWCwQQA4JCu3I5jsVhMpwAOqUOHDvLw8FB0dLTpFAAACgWDCQDA4WRnZ2vnzp3q0KGD6RTAYZUpU0bNmzfX5s2bTacAAFAoGEwAAA5n165dysrKUuvWrU2nAA4tMDBQW7duNZ0BAEChYDABADicrVu3qnLlyqpVq5bpFMChBQYGKiEhQefOnTOdAgBAgWMwAQA4nG3btqlNmzamMwCH16ZNG1ksFm3bts10CgAABY7BBADgUOx2u7Zv387tOEARuP3221WvXj1uywEAOCQGEwCAQzl+/Lh+/vln3X///aZTAKfQsmVL7dq1y3QGAAAFjsEEAOBQ4uPjZbFYFBAQYDoFcAoBAQGKj483nQEAQIFjMAEAOJR9+/bJ19dX3t7eplMAp9CoUSOdPXtWZ86cMZ0CAECBYjABADiU/fv3q1GjRqYzAKfRuHFjSb+NlQAAOBIGEwCAQ9m3bx+DCVCEfHx8VKVKFQYTAIDDYTABADiM7OxsHTp0SA0bNjSdAjiVgIAAff/996YzAAAoUAwmAACHcezYMVmtVtWuXdt0CuBUateurR9//NF0BgAABYrBBADgMI4ePSpJqlmzpuESwLn4+vrm/f4DAMBRMJgAABxGcnKyvL29dfvtt5tOAZxKzZo1derUKeXk5JhOAQCgwDCYAAAcRnJyMu8uAQzw9fWV1WrViRMnTKcAAFBgGEwAAA4jOTlZvr6+pjMAp3NlqExOTjYbAgBAAWIwAQA4jJMnT6patWqmMwCn4+PjIy8vL95hAgBwKAwmAACHcfbsWVWqVMl0BuCUfHx8lJqaajoDAIACw2ACAHAYaWlp8vHxMZ0BOKWKFSsqLS3NdAYAAAWGwQQA4BBsNpvS09NVsWJF0ymAU/Lx8WEwAQA4FAYTAIBDyMjIkNVqLVHvMMnKypLFYtEjjzxy019TtmxZtW/fvvCiCklycrIsFotCQ0NNp6CQcEsOAMDRMJgAABzClb/ZLkmDSVFzc3NTp06dTGfAQXFLDgDA0biZDgAAoCD88ssvkn57B4Yju/I6geLG29tbFy5cMJ0BAECB4R0mAACHkJ2dLUkqVaqU4RLAObm7uysnJ8d0BgAABYbBBADgEK4MJh4eHoZL/pqUlBQNGDBAFSpUUJkyZdSpUyfFx8dfc931zjD58ssv1alTJ1WpUkVeXl7y9/fXiBEj9NNPP0mStmzZIovFIqvVqo0bN8piseT92LRp01VnqRw7dkz9+vWTj4+PLBZL3jtaYmNjFRwcLB8fH3l4eKhmzZp64YUXlJmZeVWLzWbT22+/rbp166pUqVLy8/PT9OnTZbfbr3kthw8fvuG5JleeGzFixDXPbd68Wb169VLlypXl6ekpf39/vfLKK0pPT7/quptt/iOHDh3SqFGjFBAQIC8vL3l7e6t169ZatGjRNdfabDZNnz79qtf+9ttv6+jRo9d9nbd6fXFXqlSpvN+HAAA4Am7JAQA4hCt/s10SB5OMjAy1adNGP/74Y95jGzduVMeOHZWYmPiH57J8+eWXevjhh696LCEhQQkJCTp58qT++9//3nRHenq6AgMD84YW6bf/qJ87d66GDRt21eiRnJysGTNmaOPGjdq6dau8vLwkSc8++6zmzp2bd92PP/6ol156Sd99991Nd/yR9957T88///xVLVder8Vi0cSJEyXplpr/SHBwsJKSkq56bPv27dq+fbtOnTqlcePG5T1+vdf+4osv3vC13+r1xR2DCQDA0fAOEwCAQyjJ7zCJjY1VtWrVtGPHDv366686ePCgOnbsqLS0NH366ad/+LWrVq2SJE2cOFEpKSnKzs5WUlKS3nvvPVWrVk2S1KZNG9ntdrm6uqpjx46y2+15P37/bpW4uDhVr15d27dv18WLF2W325WamqrnnntO5cuX1/z585WSkqKsrCwdOHBAffr00d69exUeHi5J2rlzp+bOnStvb28tWLBAqampOn36tN577z198cUXf/vX6eDBgxoxYoRcXFz00ksvKSkpSRcvXlRCQoImTZqkChUqSPpteLjZ5j/j7++vjz76SElJScrOzlZGRoZiY2PVoEEDTZ06Vbm5uZKkHTt2XPe1f/DBB9d97bd6fUng4eHBYAIAcCi8wwQA4BAuX74sqWQOJj4+Plq9erW8vb0lSXXq1FF4eLgaNmx43dtyfu/uu++WJP3rX/9SlSpVJEl169ZV3bp1b7mjbNmyWrVqlSpVqpT32OLFi3X58mXNnTtXffr0yXvc399fS5cu1ebNm7Vq1SqNGzdOK1eulCRNmTJFTzzxRN61w4cPV3p6usaPH3/LTb+3ePFiWa1WvfLKK3nvJJGk+vXr6+WXX/5LzX9mzpw5mjx5sqZOnaoTJ05cMwgcO3ZMfqzvH+0AACAASURBVH5+N3ztzzzzjM6dO6dXXnnlqq+71etLAt5hAgBwNLzDBADgECwWi6TfbiEpaZo1a5Y3llxRq1YtSfrTTx0ZMWKEHnzwQTVq1Ej9+/fX9OnTFRMT85cO32zSpMlVY4kkHThwQJI0YMAAubm5ydXVVa6urnJxcZGbm5tOnz6t48ePS/rt3BFJeuihh6753kFBQbfck19iYqIkXTWCXM+tNDds2PCqM10sFou+//57Sb/dotSiRQvNnj1bhw8fvu4YcOnSJUnSkSNHJF3/tV/vsVu9viSwWq1ydXU1nQEAQIFhMAEAOIQrn45TEj+lo3Tp0tc8dmUAut5hqb/n7e2ddyZHmzZtdOjQIQ0fPlx33XWXli9ffksdFStWvOaxKwOU1WqV1WqVzWaTzWa7quuv/pq7uLhc9XP83pUh4nqu/NrcSEE1L1iwQCdOnFCvXr20Z88eXbhwIe/7DB069Kbb/uj/w1u9vjjLycnhU6oAAA6FwQQA4BCu3IpTEgeTgtCwYUOFhoZq3rx5SkhIUNu2bfX4449f9ckxLi4ueWdu3Kz69etLkqKioq46++T3P1JTUyVJtWvXliR9/fXX13yf9evXX/NY5cqVJUlHjx695rmYmJgbtqxYsaLAmr///vtrnmvYsKEk5R3CO3nyZDVp0kRly5aVxWJRdna2vvnmm6t+Tj8/vxu+9qioqGseu9XrS4Ls7GwGEwCAQ2EwAQA4hCv/oeZsZygMGjRIr732mnbv3q3z58/r0qVL+vbbb3XgwAHl5ORc9Yk3FSpU0IEDB3TkyJGbvnXp8ccfl5ubmx599FFFREToxIkTysnJ0ZkzZ7RlyxY999xzmjJliiQpJCREkjRu3DgtXLhQaWlp+vnnn/X+++9r0qRJ13zvMmXKqHr16vr66681f/58ZWZm6ueff9a8efOue4bHv/71L7m6umrKlCl6+eWXdejQIV26dElJSUmaMmWK3nnnnVtu/iPVq1eXJL311ls6efKkLl26pF27dumRRx7RwYMHr7r2H//4R95r/+STT3Tu3DmdPXtW8+bNu+q8lb96fUmQnZ1dIs8QAgDghuwAADiAb7/91i7JnpycbDrlpl26dMkuyd6zZ88bPhcSEnLV42XKlLG3a9cu758feughu6Tr/mjatKndarXmXdu/f/9rrvnmm2/+sMNut9s//PBDu6ur6w1/njFjxuRdO3To0Otec+XnHj58+FXfe9asWde9/qmnnrJLsoeFhV11fXh4uN1isVz3a1555ZW/1Hwjx48ft5crV+6ar/X29rY/8sgjdkn2/fv3510/aNCg6/5c/fr1s0uyjxgx4qrvf6vXF3fjx4+3BwQEmM4AAKCgzOcdJgAAh+Dp6SlJysrKMlxStCIiIjRx4kQ1b95ct912m7y9vdWwYUNNmDBB33zzTd45IZL07rvvqnfv3qpQocKfngPye4MGDdL27dvVv39/3XnnnXJ3d9edd96pdu3aac6cOVd9Qs2cOXM0ffp01alTRx4eHqpZs6amTJmiyZMnX/d7h4aGavLkyapRo4bc3d1Vt25dffDBBzf8BJvnn39e0dHR6t69uypUqCBPT0/5+/vr1Vdf1ejRo/9S841Uq1ZNMTEx6tChg7y9vVW+fHl1795d27Zty7ul5vfmzp2rqVOnys/PTx4eHqpVq5beeuutvPNObr/99r91fXGXnZ2d9/sQAABHYLHbS+jJYgAA/M6JEydUvXp1bd++XS1btjSdA+R5/vnnNXv2bK1cuTLvVpyCvL64GDRokE6ePHnd82oAACiBItxMFwAAUBB8fHwkKe8wT6CoffTRR0pNTVXPnj3l6+urU6dOadGiRZozZ47KlSunLl26/K3ri7u0tLTrftISAAAlFYMJAMAhlC5dWqVLl1ZaWprpFDipjIwMjRs37rq3E73zzjsqW7bs37q+uEtNTVXTpk1NZwAAUGAYTAAADsPHx4d3mMCYwYMHKyMjQ6tXr9aPP/4oV1dXNW3aVKNHj1ZwcPDfvr644x0mAABHwxkmAACH0bRpU3Xt2vWGB4wCKDx33HGHXnvtNQ0fPtx0CgAABSGCT8kBADiMO+64Q2fOnDGdATid3NxcnTt3TpUqVTKdAgBAgWEwAQA4jBo1aig5Odl0BuB0jh8/LqvVKl9fX9MpAAAUGAYTAIDD8PX1ZTABDLjy+47BBADgSBhMAAAOw9fXVydOnJDVajWdAjiVo0ePqkyZMtySAwBwKAwmAACH4evrq8uXL+vkyZOmUwCnkpycLF9fX1ksFtMpAAAUGAYTAIDDqFmzpqTf/rYbQNG5MpgAAOBIGEwAAA6jSpUqKl++vBISEkynAE7lhx9+UP369U1nAABQoBhMAAAOw2KxqGHDhtq/f7/pFMBpWK1WJSQkKCAgwHQKAAAFisEEAOBQGjVqpH379pnOAJzGwYMHdenSJQYTAIDDYTABADiUgIAA7d+/X3a73XQK4BT2798vNzc3+fv7m04BAKBAMZgAABxKo0aNlJmZqWPHjplOAZzC/v37VbduXXl6eppOAQCgQDGYAAAcSsOGDeXi4qK9e/eaTgGcwt69e7kdBwDgkBhMAAAOxdvbWw0aNNC2bdtMpwAOz263a9u2bWrdurXpFAAAChyDCQDA4QQGBmrr1q2mMwCHl5CQoHPnzikwMNB0CgAABY7BBADgcFq3bq3du3crKyvLdArg0LZs2aIyZcqocePGplMAAChwDCYAAIcTGBio7Oxs7d6923QK4NC2bt2qVq1ayc3NzXQKAAAFjsEEAOBwatWqpapVq3JbDlDItm7dyvklAACHxWACAHBI7du3V1RUlOkMwGEdPXpUR44cUYcOHUynAABQKBhMAAAOKSgoSJs3b9Yvv/xiOgVwSOvWrVO5cuV4hwkAwGExmAAAHFLXrl11+fJlbdq0yXQK4JDWr1+vjh07ysPDw3QKAACFgsEEAOCQKlWqpCZNmmjdunWmUwCHk5OTo2+++UZBQUGmUwAAKDQMJgAAh9W1a1cGE6AQxMXF6ZdffmEwAQA4NAYTAIDD6t69u44ePar9+/ebTgEcyurVq9WgQQPVqFHDdAoAAIWGwQQA4LBatmypGjVqaPny5aZTAIdhs9m0cuVK9e3b13QKAACFisEEAOCwLBaLQkJCtGzZMtMpgMOIjY3VqVOn1KdPH9MpAAAUKgYTAIBD69evn44cOaI9e/aYTgEcQmRkpBo3bqx77rnHdAoAAIWKwQQA4NBatGghPz8/RUZGmk4BSjyr1arPPvuM23EAAE6BwQQA4PB69+6tpUuXymazmU4BSrSoqCidPXuWwQQA4BQYTAAADu/JJ5/U8ePHFRUVZToFKNE++ugjPfDAA6pdu7bpFAAACh2DCQDA4dWrV09t2rTRhx9+aDoFKLHOnDmj1atXa9CgQaZTAAAoEgwmAACnMHjwYK1atUopKSmmU4ASadGiRfLy8lJISIjpFAAAigSDCQDAKfTu3Vve3t765JNPTKcAJdKCBQv02GOPycvLy3QKAABFgsEEAOAUSpcurUcffVTz5s2T1Wo1nQOUKBs3blRiYiK34wAAnIrFbrfbTUcAAFAUDh06pPr16ysyMpLbCoBb0LVrV2VnZysmJsZ0CgAARSWCwQQA4FR69eqln376STt27DCdApQI33//vRo1aqQ1a9aoe/fupnMAACgqEdySAwBwKqNHj9bOnTu1bds20ylAiTBjxgzVrVtXXbt2NZ0CAECR4h0mAACn06pVK915551auXKl6RSgWDt16pRq1qypOXPm6OmnnzadAwBAUeIdJgAA5zNq1CitWrVKiYmJplOAYu3dd99VhQoV9Oijj5pOAQCgyDGYAACcTkhIiPz9/fX666+bTgGKrdOnT2vOnDl66aWX5OnpaToHAIAix2ACAHA6Li4uGj9+vCIjIxUfH286ByiWpkyZottuu01Dhw41nQIAgBGcYQIAcEp2u13NmjVTrVq1OMsEyOfUqVOqXbu2pk+fruHDh5vOAQDABM4wAQA4J4vFogkTJujzzz/Xzp07TecAxcqbb76pSpUqadCgQaZTAAAwhneYAACclt1u1/3336/y5ctrw4YNpnOAYuHgwYMKCAjQxIkTFR0drTJlyqhOnTqqXbt23v/efffdpjMBAChsEQwmAACntm3bNrVp00ZffPGFevToYToHMK579+46duyY9u7dq8TERAUGBiozM1MuLi6y2WySpFKlSql69epq0KCB6tWrlzek1K1bV1WrVjX8CgAAKBAMJgAA9O/fX7t27dKBAwdUqlQp0zmAMdHR0ercubM2bNigzp07S5J27NihDh06KDs7W1ar9arrLRaL3N3dZbVa857z9PSUr6+vGjZsqPDwcN15551F/joAACgAnGECAMDYsWOVkpKi2bNnm04BjMnNzdXIkSP1j3/8I28skaQWLVpo7dq1cnV1lYvL1X90tNvtysnJuWpIycrKUlJSkk6ePMlYAgAo0XiHCQDAaeTm5iopKUnx8fHat2+fdu/erf3796t9+/aqW7euZs2apaSkJFWuXNl0KlDkZs2apZdeekk//PCDatWqdc3zGzZsUPfu3WW1WnUzf3z85ptv1L59+0IoBQCgSHBLDgDAMaWnpys+Pj5vHNm1a5cSExOVk5MjFxcXubi4KDc3Vy1bttQ333wjq9Uqf39/tW7dWkuXLjWdDxSpkydPqkGDBgoNDdWkSZNueN3KlSvVt2/fvLNMrsfNzU3t2rVTdHR0YaQCAFBUGEwAACXfuXPntHHjRsXHx2vv3r367rvvlJKSIkny8PCQJOXk5Fz1NW5ubqpWrZp27typihUrSpLWrVunbt26adWqVRwAC6fSq1cvHThwQPHx8SpduvQfXrtgwQI9/fTTf/guk9jYWLVt27agMwEAKEoMJgCAki8tLU1+fn66cOGC7Hb7n94u4OrqKm9vb+3cuVN+fn5XPffPf/5TsbGx+uGHH3TbbbcVZjZQLKxYsUL9+vVTVFSUOnbseFNfEx4erhEjRlzzuKurqySpSpUqevXVV/X000/L3d29QHsBACgiEa4TJkyYYLoCAIC/w8vLS56entqwYcOfjiUWi0Wurq7asGGDGjdufM3z7dq10+zZs3X27Fl17dq1sJKBYuH8+fPq0aOH+vbtq7CwsJv+upYtWyonJ0dbt2695rmNGzfKy8tLr7/+uiIiIuTl5aUmTZpcc2AsAADF3B7+zQUAcAihoaHy8/PL+xvuP7J06VK1bt36us/5+PhoxowZev/99xUXF1fQmUCxEhYWJqvVqrfeeuuWv3by5MkKCwvLG0Lc3d3Vv39/tW/fXlOnTtXBgwf10EMPafjw4QoICNCKFStu6rBYAACKCwYTAIBDcHNz0zvvvHPVx5vmZ7FY9PbbbyskJOQPv9djjz2m4OBgPfbYY8rIyCjoVKBYiIyM1Mcff6x58+bp9ttv/0vfY8aMGerfv78sFotsNpveeOONvOeqVaumuXPn6tChQ3rggQc0YMAANW7cWCtWrCiolwAAQKFiMAEAOISMjAzFxMTk3XKTn6urqwYNGqRRo0bd1Pf76KOPdPnyZQ0ePLigUwHjTp48qWHDhmnYsGEKDg7+y9/HxcVFixYt0sMPP6wnn3xStWvXvuYaX19fzZ07V/Hx8apfv7769eun1q1bKyYm5u+8BAAACh2HvgIASjSbzabFixfrxRdfVG5uroYOHapp06Zd9bGnbm5u6tixo9auXSs3N7eb/t5RUVF66KGH9PHHH+tf//pXYeQDRc5ms6lz585KSUnRrl275OXl9be/Z3Z2ts6fP6877rjjT6/99ttvNXHiRK1du1adOnXS5MmT1bx587/dAABAAYvgHSYAgBJr48aNatq0qQYNGqT+/fvryJEjmjx5soYOHZr3yRzu7u6655579N///veWxhJJ6ty5s8LCwjR8+HD9+OOPhfESgCI3depUbd26VUuWLCmQsUSSSpUqdVNjiSTdf//9WrNmjbZs2aLLly+rRYsW6ty5s/bu3VsgLQAAFBQGEwBAiXPw4EH17dtXnTp10h133KG9e/cqPDxc5cuXlyS98cYbKlWqlCwWiypVqqQNGzaobNmyf+nnmjJlimrVqqWQkBBdunSpIF8GUOQ2btyof//735o6daqaNGlitCUwMFCbNm1SVFSUzp07p3vvvVd9+/bVoUOHjHYBAHAFgwkAoMRIT0/X2LFj1ahRI33//ff66quvFBUVJX9//6uu8/Hx0euvv65y5cppw4YNqlKlyl/+OT09PfXFF1/o5MmTGjRo0N99CYAxJ06c0IABA9SjR49b+gjhwtapUyft2rVLX3zxhZKSktSgQQM9/vjjOnr0qOk0AICT4wwTAECxl5ubq4iICI0fP15Wq1Xjx49XaGjoH36EcE5Ojvbs2aP777+/QBqioqLUtWtXzZw5U6GhoQXyPYGikp2drQceeECZmZnasWOHvL29TSddl81m08qVKzVu3DidOHFCTzzxhF5//fW/NXoCAPAXcYYJAKB4i46OVrNmzRQaGpp3TklYWNgfjiWS5OHhUWBjifTbeSavvfaaRo0apa1btxbY9wWKwnPPPaekpCStWrWq2I4l0m+futOnTx8lJCRo9uzZWrt2rWrXrq2xY8cqPT3ddB4AwMkwmAAAiqUr55R07txZNWrUUEJCgsLDw3XbbbcZa3rllVcUFBSkkJAQbhdAiREeHq758+dr0aJFqlevnumcm+Lu7q4hQ4bo0KFDmjRpkhYuXKgaNWpo7NixyszMNJ0HAHAS3JIDAChW0tPTNW3aNL377rvy8/PTO++8o6CgINNZeS5cuKB27drp0qVL2rZtm26//XbTScANffnll+rZs6cmTZqkMWPGmM75y3755Re9//77mjJlitzd3fXCCy/o+eefV+nSpU2nAQAcVwSDCQCgWLhyTsmrr74qm812U+eUmJKSkqKWLVvK19dXGzZsUKlSpUwnAdfYvXu32rVrpwEDBujDDz80nVMg0tLSNH36dM2ePVsVKlTQCy+8oGeeeYbfgwCAwsBgAgAwLzo6WiNHjlRSUpKGDRumN954w+itNzdj3759euCBB9SzZ08tWrRIFovFdBKQJzk5WS1btlSzZs20evVqubm5mU4qUGfPntWMGTMUHh6uKlWqaNy4cXr66aeL5cAKACixOPQVAGBOUlKSgoOD1blzZ/n6+haLc0puVqNGjbRixQotW7ZML7zwgukcIM/p06fVpUsXVa1aVcuXL3e4sUSSKlWqpKlTpyopKUldunTR8OHD835P8neBAICCwmACAChy6enpGjt2rBo1aqSffvpJmzZt0po1a+Tn52c67ZZ06dJFS5cuVXh4uCZMmGA6B1BGRoa6desmu92ur776SuXKlTOdVKiqV6+uuXPnav/+/br33nvVv39/3X///VqzZo3pNACAA2AwAQAUmcuXL2vevHmqV6+e5s+fr7feeks7d+5Uu3btTKf9ZSEhIZo/f77efPNNTZs2zXQOnFhmZqa6dOmi1NRURUVFqWrVqqaTikz9+vX18ccfKz4+Xr6+vurRo4cCAwO1adMm02kAgBKMwQQAUCSio6PVrFkzPffccxowYICOHDmisLAwhzhzYODAgXrnnXc0btw4zZkzx3QOnNDFixcVHByskydPKiYmRr6+vqaTjGjYsKEiIyO1fft2lS5dWh06dFDnzp21a9cu02kAgBKIwQQAUKiSkpL08MMPX3NOibe3t+m0AhUWFqaJEycqNDRUs2bNMp0DJ5KZmamuXbvqhx9+UFRUlGrXrm06ybiWLVsqOjpamzdvVnZ2tlq0aKHg4GDFx8ebTgMAlCAMJgCAQnHu3DmFhYWpYcOGSklJUWxsrNasWaNatWqZTis0L7/8sqZNm6YRI0Zo7NixpnPgBNLT0/XQQw/p4MGDiomJUYMGDUwnFStt2rRRXFycNmzYoJ9++knNmjVT3759dfjwYdNpAIASgMEEAFCgfn9OyZIlS/T2229rx44datu2rem0IvHiiy9qzpw5mj59OqMJCtWZM2fUvn17nTp1SnFxcQoICDCdVGx16tRJu3fv1rJlyxQfHy9/f38NHTpUP/30k+k0AEAxxmACACgw0dHRatq0qZ577jn985//dKhzSm7FM888o4iICL399tt6/vnnZbPZTCfBwSQnJ6tt27bKysrSli1bVKdOHdNJxZ7FYlGfPn2UkJCgTz/9VNHR0apVq5aGDh2qM2fOmM4DABRDDCYAgL8tMTFR3bt3V+fOnVWzZk2HPafkVgwcOFDLli3TvHnz1Lt3b128eNF0EhzEzp071bJlS3l5eSkuLk7VqlUznVSiuLi45A0ns2fPzvtI87FjxyojI8N0HgCgGGEwAQD8ZVfOKQkICNDp06ed4pySW9G7d29t2rRJW7ZsUYcOHfhbbPxtX3zxhdq3b69GjRopNjZWlStXNp1UYnl4eGjIkCE6fPiwJk2apAULFsjPz08TJkzQhQsXTOcBAIoBBhMAwC27fPmywsPD5efnpxUrVuj99993qnNKbkWdOnU0ffp0nT9/Xq1atVJCQoLpJJRQ4eHh6t27t9q2batPPvnEqd/BVZC8vLwUFhamI0eO6KWXXtLMmTPl5+enadOmKSsry3QeAMAgBhMAwC2Jjo5WkyZN9NJLL+nxxx9XYmKihgwZ4nTnlPyZnJwcvfPOO6pTp47uvvtubd68WVWqVFHr1q21du1a03koQbKzszVkyBCNGjVKkydP1ujRo+Xv76/w8HBdvnzZdJ7DKFu2rMaMGaMjR47oqaee0uuvv666detq3rx5ys3NNZ0HADCAwQQAcFN+f05JrVq1lJiY6PTnlNzIZ599pnr16mn06NG67bbb9OCDD6pSpUqKiYnRI488oh49eui1117jMFj8qRMnTqht27aKjIzUZ599ppdeekkdO3ZUuXLlNGLECNWvX58BroBVrFhRU6dO1aFDh9SrVy89//zzqlOnjubNmyer1Wo6DwBQhBhMAAB/KC0tLe+ckjNnziguLk5r1qxRzZo1TacVO7t27VJgYKBCQkJ0/PhxWSwWhYaGymKxSJI8PT21YMECLVy4UNOnT9fDDz+sc+fOGa5GcRUXF6fmzZsrMzNT27dvV8+ePSX99mkvzz77rCwWi5KTkxUcHKwHH3xQ+/fvN1zsWO666y6Fh4crKSlJXbp00bPPPqvGjRtrxYoVstvtpvMAAEWAwQQAcF2/P6fkv//9b945JQ888IDptGLnp59+0uDBg3X//fdr586dkiSbzSY3Nzc9/vjj11z/+OOPKyYmRvv371fz5s21Y8eOok5GMWa1WjV58mQ9+OCDat++vXbu3Kl77rnnqmueeuopubn9P/buPq7m+//j+PNUp1Auy9WIrKKick2RbRQKuexiQ4RhtslMK2aEogzT8DXXylVq5iJXE7kIIUTloghDLksui06d8/tj6/xEuazep9Pzfrt1+/52TjqP7XdOPr36fF5HS3mWUkxMDKytrTF48GAuFy5mDRs2xJIlS5CYmAgLCwu4ubnBxsYGkZGRotOIiKiEcWBCRESvyd9TMnHiRIwePVq5p0RDg39tvCwrKwtBQUFo3LgxQkJCIJfLlTslpFIpXF1dUbNmzUL/bPv27XHq1CkYGxujY8eOmDlzJk/3J9y4cQNdunTB9OnTMXfuXISFhUFPT++1zzMwMICzszOkUikAIDc3FwqFAhs3bkSjRo3g5+fHhaXFzNzcHOHh4Th79iwaNGgAZ2dndOzYEQcPHhSdRkREJYRHvkREpHThwgU4OTkp95ScO3cOgYGBqFy5sug0lSKXyxEREQETExP8/PPPyMrKem35pkwmwzfffPPGr1OrVi38/fffWLhwIQICAtCxY0dcuXKlJNNJhW3atAnNmzfHvXv3EBsbCy8vrzd+/ujRowt93mVnZ8Pf3x+ffvopQkNDeflIMbO0tER4eDiOHj0KbW1tfP7553BwcMDp06dFpxERUTHjwISIiArsKbl//z5iYmK4p6QI0dHRsLKygpubG+7cuVPoWSESiQQmJiawtbV969eTSCQYOXIkjh49iidPnqBVq1ZYu3ZtSaSTisrMzMSQIUPg4uICd3d3nDp1Ci1atHjrn+vSpQuMjIwKvS8vLw93797F0KFD0bZtWxw7dqyYq8nGxgbR0dGIiorCo0eP0Lp1a7i6uiI5OVl0GhERFRMOTIiIyrFX95T873//w/Hjx9GxY0fRaSrJ09MTXbp0wcWLF6FQKIr8zb2Ghga8vLyUy17fhbW1NeLi4uDh4YEhQ4bA0dER165dK6ZyUlXh4eGwsLDAnj17sHXrVixatAgVK1Z8pz8rkUjwzTffQEtLq9D75XI5FAoFzpw5A1tbW4wfP7440+k/9vb2OHHiBPbs2YNLly7BwsICrq6uSE1NFZ1GREQfiQMTIqJyKjIyEubm5txT8h58fX1haGj41v9GUqkUgwcPfu+vX7FiRQQHByMmJgY3btxA06ZNERQUxN0mauj27dsYMGAA3N3d4eDggKSkJPTq1eu9v87QoUPf+jkSiQR16tTB8OHDP6CU3pW9vT1OnTqFsLAwnDlzBubm5hg1ahRu3bolOo2IiD4Qj4qJiMqZ8+fPw9HREb1790bLli1x/vx57il5R02aNEF8fDxatGhR5G/1pVIpvvrqK1StWvWDH8fW1hanT5+Gt7c3pkyZAhsbG76TjpqQyWSYP38+zMzMkJCQgOjoaISGhkJfX/+Dvl6tWrXQp08f5fLXV2lpacHExAQnTpxA06ZNPyad3oGGhgZcXFxw7tw5LF++HFFRUTA1NYWXlxffvYiIqAziwISIqJzI31NiZWWF9PR0HDp0COHh4UXuQKDC6evrIzo6Gp06dSr0fplMhtGjR3/042hra8PPzw/x8fGoAudjiwAAIABJREFUVKkS2rdvjyFDhvC31WXY7t27YWVlBV9fX3z33Xc4e/YsPv/884/+uoUtf81nY2ODY8eOoX79+h/9OPTupFIpPDw8cPHiRfz2228IDw+HiYkJfH198ejRI9F5RET0jjgwISJScy/vKdm0aRP3lBSDvLw8pKeno3r16gX2lEgkEjRt2hRt2rQptseysLDAgQMHsHXrVhw+fBimpqbw8/NDdnZ2sT0GlaxLly7B1dUVjo6OMDExwblz5xAQEPDOu0repnPnzq8NPiUSCfT09CCXy6GtrV0sj0PvT1tbGyNHjsTly5cxefJkLF26FMbGxggKCkJWVpboPCIiegsOTIiI1Fj+npJJkyZh9OjRuHDhAveUfCSZTIYBAwYgPT0d8fHx8Pf3h0QigUQiUS57LQm9evVCUlISJk2ahDlz5sDMzAzLly8v8swCEu/mzZsYPXo0mjZtiuTkZOzbtw+RkZEwNjYu1seRSCQYM2ZMgcvEZs2ahePHj+P8+fPw8PCAXC4v1sek96OrqwsfHx/8888/8Pb2xsyZM2FkZISgoCA8f/5cdB4RERVBoihqxT8REZVZ8fHx+OGHH3Do0CEMGDAAv/76Kxo2bCg6q8xTKBQYOnQoNm/ejEOHDqF58+YAgLVr18LT0xPa2tq4e/cu9PT0SrQjLS0NM2bMwMqVK9GgQQNMmTIFAwcOhKamZok+Lr2bO3fuYNasWViyZAnq1KmDyZMnw9PTs0T//3Pv3j3Uq1cPEokEoaGhcHd3BwAcPHgQ3bp1g5eXF4KCgkrs8en9pKenY86cOQgODkatWrXw888/Y9iwYUXuRiIiIiFW8leMRERqJD09HV5eXmjTpg2ysrIQExOD8PBwDkuKyaRJk7Bhwwb8+eefymEJAAwaNAi7d+/G2LFjS3xYAgD16tXDH3/8geTkZNjZ2WH48OFo1qwZ1q1bh9zc3BJ/fCrcrVu3MGHCBOXlb3PnzkVKSgpGjBhR4sOsWrVqYcSIEYiKilIOSwDgs88+w+rVq/Hrr79i4cKFJdpA787AwACBgYG4dOkS+vTpg++//x6WlpYIDQ3l2UBERCqEZ5gQEamBnJwcLF68GFOmTEHlypUxc+ZMDB48uMB+Dfo4y5Ytw6hRo7By5cp3eivX0pSSkoLp06dj48aN+OSTT+Dl5YURI0agSpUqotPKhaSkJMydOxfr169HjRo14OPjg1GjRhXbjpLiMGPGDEybNg2bNm1C7969RefQK65du4ZZs2ZhxYoVMDc3x5QpU+Di4iI6i4iovFvJgQkRURkXGRmJcePG4c6dO/j+++8xefLkUjnLoTzZuXMnevfujSlTpuCXX34RnVOka9euYf78+VixYgU0NTUxcuRIfP/99zA0NBSdpnYUCgWio6MxZ84c/P333zA3N8f48eMxaNAg6OjoiM4r1JgxYxASEoLo6Gi0a9dOdA4V4vz58/Dz88Off/6Jdu3awd/fH126dBGdRURUXvGSHCKisur06dP47LPP0Lt3b7Rq1Qrnz59HYGAghyXF7OTJk3Bzc8OQIUNUelgCAEZGRpg/fz7S0tIwbdo0hIWFwcjICA4ODoiIiOCC2GJw9+5dBAcHw8rKCvb29njy5Am2bt2KpKQkDB8+XGWHJQAQHBwMOzs79OrVC5cvXxadQ4WwsLBAeHg4jh07BgMDA9jb26Njx46IiYkRnUZEVC5xYEJEVMbcvn0bo0aNQtu2bZGdnY3Dhw9zT0kJuXr1Knr27Ak7Ozv88ccfonPeWZUqVeDl5YXLly8jLCwMGhoacHd3R8OGDfHzzz/zh+X3lJubi127dqF///4wNDTEtGnT8MUXXyAhIQGHDx9Gr169ysTlb1KpFBEREahXrx6cnZ2RmZkpOomK0LZtW0RGRuLIkSOQSqXo1KkTHBwcEB8fLzqNiKhc4SU5RERlxMt7SqpUqYKAgADuKSlBGRkZ6NChA3R1dXHw4MEyf+ZOWloa1q5di8WLF+Off/6BhYUFXFxcMGjQIJiYmIjOUzlyuRxHjx5FREQEwsPDcefOHbRq1QojR47EoEGDUKlSJdGJH+zWrVuwsbGBkZER9uzZo9JnxdC/9u7dC19fX5w+fRoDBgyAv78/GjduLDqLiEjdcYcJEVFZEBkZCS8vL9y9exfe3t7w8fFRqYWS6iY7OxsODg5IS0tDbGws6tSpIzqp2OTl5SE6Ohrh4eH466+/kJmZibZt28LFxQU9evSAmZmZ6ERhnj9/jpiYGGzduhWbNm3CnTt30Lx5c7i6usLNzQ2ffvqp6MRic+7cOXTs2BHdunXDhg0bOHgtAxQKBbZv347JkycjKSkJ/fv3R2BgoFo9L4mIVAwHJkREquz06dMYN24cDh8+jAEDBmDOnDlo0KCB6Cy1JpfL4erqir179yImJgaWlpaik0qMTCbD3r17sXHjRkRGRuLBgwcwMjJC9+7d4ejoiM6dO5f5M2veJjU1Fbt378auXbuwf/9+ZGVlwdLSEi4uLnB1dUWTJk1EJ5aYAwcOoFu3bvD29oa/v7/oHHpHcrkcmzZtwqRJk3D9+nUMHToUfn5+qFu3rug0IiJ1w4EJEZEqunXrFqZNm4YVK1agVatWmD9/PmxsbERnlQvjxo3D4sWLsWvXLnTu3Fl0TqnJy8vD8ePHsWvXLvz99984deoUtLS00Lp1a3To0AEdOnSAra0tatasKTr1g8nlcly4cAGHDx/GkSNHcPjwYVy9ehVVqlSBvb09unXrhu7du5eroeT69esxaNAgLFy4EGPGjBGdQ+9BJpNh1apVmD59OjIzM/H999/Dx8cH1atXF51GRKQuODAhIlIl2dnZ+P333zFz5kzuKRFg7ty58Pb2RmhoKAYNGiQ6R6j79+8jKioKMTExOHz4MM6fPw+5XA4zMzO0a9cOlpaWsLKygpWVFWrXri069zW5ublISUlBYmIiEhIScObMGcTGxiIzMxN6enpo3749OnTogC+++AK2traQSqWik4WZOnUqAgICsHnzZvTq1Ut0Dr2nnJwcrF69GlOmTMGzZ8/w7bffYuLEiahataroNCKiso4DEyIiVZG/p+TevXuYMGEC95SUsoiICLi7u+PXX3/F+PHjReeonIcPH+Lo0aM4evQo4uLikJCQgDt37gAAatasCSsrK5iYmKBRo0YwMjJSfpTkMEUmk+H69eu4du0arl69qvzfixcv4ty5c3jx4gW0tLTQuHFjWFtbw8bGBh06dIC1tTU0NTVLrKusUSgU8PT0xF9//YWDBw+iRYsWopPoAzx9+hSLFi1CYGAgNDU14e3tjbFjx/LvESKiD8eBCRGRaKdOncIPP/zAPSUCxcTEoGvXrhg6dCgWL14sOqfMuH//PhISEpCQkICkpCSkpqbi2rVruHnzJvLy8gAAFSpUgIGBAfT19aGvr4+aNWtCX18flStXhlQqVe5I0dPTU57l8fTpU8hkMsjlcjx69AhyuRwZGRlIT09HRkZGgQ+5XK788/lDGjMzM1haWsLS0hIWFhZ8F5h3IJPJ0KNHDyQlJeHYsWP8HlSGPXjwAL///jvmzZuHqlWrYsKECRg9ejRfB0RE748DEyIiUfL3lCxfvhxt2rTBb7/9xj0lAly+fBm2trZo3749Nm/ezDMPioFMJsPNmzdx9epV3Lhxo8CA4/79+8jIyMDTp0+Rm5uLJ0+eAPj/IQkA6OrqQltbG5qamqhSpQo0NDSUA5eXP2rXro2GDRvCyMioTO9WURWPHz+GnZ0dcnNzceTIEVSrVk10En2E+/fvY+7cuQgODkbt2rUxadIkDB8+nN/jiIjeHQcmRESlLX9PSUBAAKpVqwZ/f3/uKRHk/v37sLW1RY0aNbB//35UqlRJdFK5tmzZMvTv3x81atQQnVJupaWlwcbGBsbGxti9ezfPSlADN27cgL+/P1auXAlTU1NMmzYNAwYM4N85RERvt1JDdAERUXkSGRkJCwsLzJgxA+PHj0dKSgo8PDx44CpAVlYWevXqBYVCgcjISA5LVEBoaCi2bNkiOqNcq1evHnbu3In4+Hh4enqCv1cr+wwNDbFkyRKkpKTAzs4OX375JaytrRERESE6jYhI5XFgQkRUCk6ePAk7Ozv06dMHdnZ2uHz5Mvz8/FChQgXRaeVSXl4evvrqK6SmpmLXrl2oVauW6KRy759//sGRI0ewZs0a0SnlXrNmzRAWFoaIiAhMmzZNdA4Vk0aNGmHJkiU4e/YszMzM4ObmBltbW+zfv190GhGRyuLAhIioBKWlpWHUqFFo166dci9AaGgo6tSpIzqtXBs7diz27NmDbdu2wdTUVHQOAQgLC4NCocChQ4eU775D4nTv3h1//PEHpk+fjtWrV4vOoWLUtGlThIeHIzY2Frq6uujcuTMcHBwQFxcnOo2ISOVwYEJEVAKysrIQFBQEc3Nz7Nq1C6tWrcLRo0fRvn170Wnl3owZM7BkyRKsX7+eS3ZVSEhICABAQ0MDGzduFFxDADB8+HD4+vpi5MiR2LNnj+gcKmbt2rVDVFQUYmJikJOTg7Zt28LBwQFnzpwRnUZEpDI4MCEiKkYKhQIRERFo2rQp95SooA0bNmDq1KmYP38++vTpIzqH/nPhwgVcuHABwL+XS4WGhgouonwBAQFwd3fHgAEDcPbsWdE5VAI6duyIgwcPIioqCg8ePECrVq3g6uqKS5cuiU4jIhKOAxMiomISFxcHOzs7uLu7c0+JCtq/fz88PT3h6+uL7777TnQOvWTdunWQSqUA/h06nj59mj+sqQiJRIIVK1agbdu2cHJywo0bN0QnUQmxt7fHyZMnERYWhoSEBDRt2hQeHh64evWq6DQiImE4MCEi+kj5e0rat28PqVSKU6dOcU+JiklKSkK/fv3Qt29fBAQEiM6hV6xZswYymUz5z1KplJflqBCpVIpNmzZBX18fTk5OePTokegkKiESiQQuLi44f/481q1bh6NHj8LMzAyjRo3ibiEiKpc4MCEi+kD5e0rMzMywe/durFq1Cvv370fz5s1Fp9FL0tLS4OTkBGtra6xevZqXRqmYY8eO4fr16wVuk8lkWLVqlaAiKkzVqlWxbds2pKeno2/fvsjJyRGdRCVIQ0MDLi4uuHDhAhYsWIDt27fDxMQEvr6+yMzMFJ1HRFRqODAhInpP+XtKLCwsMGPGDPz4449ITk6Gh4eH6DR6xePHj9GjRw9UrlwZmzdvho6OjugkesWGDRugra392u1XrlzhzgwVY2RkhO3btyMuLg5jxowRnUOlQCqVYuTIkbh06RICAgKwatUqNGzYEL6+vnj8+LHoPCKiEseBCRHRe4iLi0PHjh3h7u6OTp06ITU1lXtKVJRMJkP//v1x//597Nq1C9WrVxedRK+Qy+VYv359oWcrSKVSbNiwQUAVvUmrVq2wceNGhISE8PK2cqRSpUrw8vJCamoqfv75Z/zxxx8wNjZGUFAQnj9/LjqPiKjEcGBCRPQO0tLS4OHhgXbt2kFHRwenT59GaGgoateuLTqNCqFQKDBixAgcP34cO3bsQIMGDUQnUSGio6ORnp5e6H0ymQyhoaFQKBSlXEVv4+TkhP/973/45Zdf+I5G5Yyenh58fHyQmpqK4cOHY9q0aTA1NcXSpUuRm5srOo+IqNhxYEJE9AYv7ymJjY3Fxo0bER0dDWtra9Fp9AaTJk3Chg0b8Oeff3KnjApbv359oZfj5Lt9+zaOHj1aikX0rr7++mtMmDABI0aMwN69e0XnUCnT19dHYGAg/vnnHwwcOBBjx45VDk7y8vJE5xERFRsOTIiICvHynhJ/f3/8+OOPSEpKgouLi+g0eotly5YhKCgIS5cuRdeuXUXnUBFycnLw559/vnF5KC/LUW1BQUFwdXVF//79kZCQIDqHBKhZsyYCAwORkpKCrl274ttvv4WVlRUiIiJ4dhgRqQUOTIiIXnHixIkCe0ouX74MPz8/LgwtA3bs2IExY8Zg+vTpGDp0qOgceoOdO3fiyZMnb/wcmUyGdevW8VR/FSWRSLBy5Uq0atUKTk5OuHnzpugkEqRBgwZYsmQJEhMT0apVK7i7u6N9+/aIjIwUnUZE9FE4MCEi+s/Nmzfh4eGB9u3bo0KFCtxTUsacPHkSbm5uGDJkCCZPniw6h94iJiYG9evXR7169ZQfWlpaqFKlSoHbqlatiri4ONG5VARtbW1ERERAT08PvXv3xtOnT0UnkUBmZmYIDQ3F2bNn0bBhQzg7O6NDhw44cOCA6DQiog8iUfB8OSIq57KysjB79mzMnj0b9evXR0BAAC+9KWOuXr0KGxsbtGzZEtu2bYOWlpboJPoApqam8PT0xKRJk0Sn0Hvia5AKc+zYMfz888+Ijo6Gvb09AgMD0apVK9FZRETvaiXPMCGicit/T4m5uTmCg4MxdepUJCYmclhSxmRkZMDR0RH16tVDeHg4f1AjEqBRo0bYvn07Dh06hG+++UZ0DqmI9u3bY9++fYiJicGLFy/Qpk0b9OrViztviKjM4MCEiMqlEydOoEOHDnB3d8dnn32G5ORk+Pj4cE9JGZOdnY3evXvjxYsX2LFjB/T09EQnEZVbrVu3RlhYGFatWoWgoCDROaRCOnbsiEOHDmHPnj1IS0tDixYt4OrqisuXL4tOIyJ6Iw5MiKhceXlPScWKFREfH4/Q0FDUqlVLdBq9J7lcjsGDB+PChQvYtWsX6tSpIzqJqNzr2bMnFi5ciIkTJ2Lt2rWic0jF2Nvb4+TJkwgLC8PZs2dhYWGBUaNGIS0tTXQaEVGhODAhonLh2bNn8PPzg6mpKY4dO4aNGzdi3759sLKyEp1GH2j8+PGIjIxEREQEzMzMROcQ0X9Gjx4NLy8vDB8+HNHR0aJzSMVoaGjAxcUF586dw/Lly7F37158+umnGDVqFO7evSs6j4ioAA5MiEitKRQKhIaGwtTUFMHBwfDz8+OeEjUwd+5c/P7771i5ciU6d+4sOoeIXjF37lz07NkTLi4uuHjxougcUkFaWlrw8PDAhQsXsGDBAkRGRsLExAS+vr54+PCh6DwiIgAcmBCRGjt+/DhsbW0xfPhw9OrVi3tK1ERERAR++uknzJkzBwMHDhSdQ0SF0NDQwNq1a2FmZgYnJyeeOUBF0tbWxsiRI3Hp0iVMnjwZS5cuhbGxMfz8/PDkyRPReURUznFgQkRq58aNG/Dw8ICNjQ10dXVx+vRpLFmyhHtK1EBMTAw8PDwwcuRIjB8/XnQOEb1BxYoVsW3bNkilUvTs2RPPnj0TnUQqTFdXFz4+Pvjnn3/w008/4bfffoOxsTGCgoLw/Plz0XlEVE5xYEJEaiN/T0njxo1x/PhxbNy4EXv37oWlpaXoNCoGFy5cQJ8+feDg4ICFCxeKziGid6Cvr4+dO3fi+vXrcHNzQ15enugkUnGVK1eGj48PUlNTMWzYMEybNg2NGzfG0qVLkZubKzqPiMoZDkyIqMyTy+UIDQ2FiYkJfv/9d/j5+SEhIYF7StTI/fv34ezsDBMTE4SFhUFTU1N0EhG9I2NjY0RGRmL//v349ttvRedQGWFgYIDAwECkpKSgb9++GDt2rHJwwsEbEZUWDkyIqEw7cOAAWrdujeHDh8PZ2Zl7StRQVlYWevXqBYVCgcjISFSqVEl0EhG9p7Zt2yIkJATLli3DvHnzROdQGVK/fn0EBwcjOTkZDg4OGDNmDKytrREREQGFQiE6j4jUHAcmRFQm5e8p6dy5M/T19ZV7SmrWrCk6jYpRXl4evvzyS6SmpmLXrl3cQ0NUhg0YMACzZ8/GhAkTsH79etE5VMY0bNgQS5YsQWJiIiwsLODm5gYbGxvs3btXdBoRqTEOTIioTClsT0lUVBT3lKipsWPHIioqCtu2bYOpqanoHCL6SD/++CO+++47DB8+HEeOHBGdQ2WQubk5wsPDcfbsWTRo0AAODg7o2LEjDh06JDqNiNQQByZEVCYUtqckMTGRe0rU2PTp07FkyRKsX78eNjY2onOIqJjMnz8fjo6O6N27N1JSUkTnUBllaWmJ8PBwHD16FNra2vjss8/g4OCA06dPi04jIjXCgQkRqbz9+/ejVatWr+0p0dbWFp1GJWT9+vXw8/PD/Pnz0adPH9E5RFSMNDQ0sG7dOpiamsLR0RH37t0TnURlmI2NDaKjoxEVFYWHDx+idevWcHV1RXJysug0IlIDHJgQkcq6fv26ck+JgYEB4uPjuaekHNi/fz88PT3h6+uL7777TnQOEZWAihUrIjIyEhoaGujZsyeysrJEJ1EZZ29vj7i4OOzZsweXLl2ChYUFXF1dkZqaKjqNiMowDkyISOU8ffoUfn5+aNKkCU6cOIHIyEhERUWhWbNmotOohCUlJaFfv37o168fAgICROcQUQkyMDDArl27cO3aNbi7u/OtYqlY2Nvb49SpUwgLC8OZM2dgbm6OUaNG4datW6LTiKgM4sCEiFTGy3tKFixYAD8/PyQkJKBnz56i06gUpKWlwcnJCdbW1li9ejUkEonoJCIqYSYmJti0aRP27NkDb29v0TmkJjQ0NODi4oJz585h+fLliIqKgqmpKby8vHgJGBG9Fw5MiEgl7N+/Hy1btsSIESPQu3dvXLx4kXtKypHHjx/DyckJlStXxubNm6GjoyM6iYhKiZ2dHUJDQxEcHIzff/9ddA6pEalUCg8PD1y8eBG//fYbwsPDYWxsDF9fXzx69Eh0HhGVARyYEJFQly9fhqurKzp37oyaNWtyT0k5JJPJ0L9/f6Snp2PXrl2oXr266CQiKmWurq4ICAjADz/8gL/++kt0DqkZbW1tjBw5EpcvX8bkyZOxZMkSGBsbIygoCNnZ2aLziEiFcWBCRELk7ylp1qwZEhISsH37dkRFRaFp06ai06gUKRQKjBgxAsePH8eOHTvQoEED0UlEJIivry+++eYbDBo0CLGxsaJzSA3p6urCx8cHqamp+O677zBz5kw0bNgQQUFBePHiheg8IlJBHJgQUal6dU9JUFAQkpKS0KNHD9FpJMDEiROxYcMG/Pnnn2jevLnoHCISLDg4GF27doWzszMuXbokOofUVI0aNeDn54fU1FQMGzYMfn5+aNy4MZYuXYrc3FzReUSkQjgwIaJSEx0djRYtWij3lCQnJ8PLywtaWlqi00iAZcuWYfbs2Vi6dCm6du0qOoeIVICmpibWr18PY2NjODo64v79+6KTSI0ZGBggMDAQKSkp6N69O7799ltYWloiNDQUcrlcdB4RqQAOTIioxF26dAmurq7o0qULatWqpdxTYmBgIDqNBNmxYwfGjBmD6dOnY+jQoaJziEiFVKpUCZs3b0Zubi769euH58+fi04iNWdoaIglS5bg0qVL6NSpE4YNGwZra2tERESITiMiwTgwIaIS8/DhQ/j6+sLS0hKJiYnYsWMH95QQTp48CTc3NwwZMgSTJ08WnUNEKqhu3brYuXMnzp07Bw8PD/62n0qFkZERlixZgoSEBJibm8PNzQ02NjaIjo4WnUZEgnBgQkTFLn9PSZMmTbBs2TIEBQUhMTERTk5OotNIsKtXr6Jnz57o1KkT/vjjD9E5RKTCLCwssHnzZmzbtg0TJ04UnUPliIWFBcLDw3Hs2DEYGBigS5cu6NixI2JiYkSnEVEp48CEiIrVvn37lHtK3N3dkZqayj0lBADIyMiAo6Mj6tevj/DwcD4niOitPvvsM6xevRq//vorFi5cKDqHypm2bdsiMjIShw8fhlQqRadOneDg4ID4+HjRaURUSjgwIaJikb+nxN7eHrVq1cKZM2cQHByMatWqiU4jFZCdnQ1nZ2e8ePEC27dvh56enugkIioj3N3dMW3aNIwbNw5bt24VnUPlUIcOHbB//35ERUUhMzMTrVu3hqurK1JSUkSnEVEJ48CEiD5KZmamck9JUlISdu7ciaioKFhYWIhOIxUhl8sxaNAgXLx4Ebt27UKdOnVEJxFRGfPLL79g5MiR+Oqrr3Ds2DHROVRO2dvbIy4uDlu2bEFycjKaNm0KDw8PXLlyRXQaEZUQDkyI6IPk5uZi6dKlMDMzw/Lly5V7ShwdHUWnkYoZP348du7cia1bt8LMzEx0DhGVUcHBwbCzs4OzszMuX74sOofKKYlEgl69eiE+Ph7r169HbGwszM3NMWrUKNy+fVt0HhEVM4lCoVCIjiASLS4uDmfOnBGdodIMDAzQt29fAP/uKfnhhx9w8eJFfPPNN5g+fTqqVq0quLBsCg8Px6NHj0RnlJibN28iICAAI0aMQKtWrT7oa7Rp0wbNmzcv5jICVO/55+/vj/bt28Pe3l50ihKff8UvIyMDf/311wf92efPn2P27NkwNDSEp6dnMZepFjc3N1SpUkV0Br2FTCbDqlWrMG3aNDx69AjfffcdfHx8UL169dc+l8ebb/fy8SaRCljJgQkRgIkTJ2L27Nncq1CEFy9ewNzcHBs3bsTkyZMRERGBnj17Yv78+TA2NhadV6aZmJjg5s2b0NHREZ1SYuRyOTQ0PuyExqdPn2LGjBmYNGlSMVcRUD6efx+Dz7+SER8fj5YtW0JPT++DvjcoFApIJJISKFMNcrkcT58+RUpKCkxNTUXn0DvKycnB6tWrMWXKFGRlZWHMmDGYNGlSgaEXjzffLP94k0t1SYWs5FsUEP3HysqK36CLMHHiRGzYsAHNmjWDhYUFoqOj8cUXX4jOUhtTpkzhD2RFMDExEZ2g9vj8KxqffyXr9OnTHAgUIn+gRGWLtra2cs/OokWLEBgYiBUrVmDChAkYO3YsKlasCIDHm28yceJE7N69W3QGUQHcYUJE70RPTw+LFi3CqVOnOCwhIiIiKoSenh58fHyQmpqKb7/9FgEBAWjcuDGCg4ORl5cnOo+I3hMHJkT0TqRSKb7++mtoamqKTiEiIiJSaTVq1ICfnx+Sk5PRp08f/PTiNaS6AAAgAElEQVTTT1i2bBlevHghOo2I3gMHJkRERERERCWgbt26WLBgAVJSUtC4cWNoa2uLTiKi98CBCRERERERUQlq2LAhOnfurNYLi4nUEQcmRERERERERESv4MCEiIiIiIiIiOgVHJgQEREREREREb2CAxMiIiIiIiIioldwYEJERERERERE9AoOTIiIiIiIiIiIXsGBCRERERERERHRKzgwISIiIiIiIiJ6BQcmRERERERERESv4MCEiIiIiIiIiOgVWqIDiOj/PX78GAcPHsTly5eRl5cHMzMzODg4QEdHR3QaqTGZTIaYmBikpKQgMzMThoaGcHBwQO3atUWnUTmRnZ2Nffv24fTp05DL5Zg8eTK0tHiIQqUnLy8Pv/76K54/fw5bW1t07dpVdBJRibp8+TKioqLw6NEjmJiYwMnJCZUqVRKdRaRyeDRCpCK++eYbhISEIDs7u8DtdevWxbp16/DFF18IKiN15u/vj99++w0PHjwocLtUKsWUKVMwefJkQWVUHqSnp2PYsGHYu3dvge99vr6+HJhQqQoODsbEiRMBAD/++CMHJqTWfvnlF8ycORNyuVx5m6GhIbZu3YoWLVoILCNSPTwaIVIRkZGR0NPTQ/fu3WFsbIxnz57h77//xpUrV+Ds7IyUlBTUrVtXdCapmd27d+Pp06fo3LkzTE1NoaenhyNHjuDYsWP45ZdfUK9ePXh6eorOJDWVnp6OyMhIVKxYET169MDx48eRnp4uOovKmX/++QdTpkxBp06dcOjQIdE5RCVq9erV8Pf3h5aWFtzd3WFoaIi///4bZ86cQa9evZCcnAxdXV3RmUQqgwMTIhWxatUqdO7cGZqamsrbcnNz0a1bN0RHR2Pbtm0YNWqUwEJSR7/88gvatGmDGjVqFLj9559/xsyZM7F69WoOTKjE1KxZE1u3boW9vT0qVaqEZs2acWBCpW7MmDGwsLDA2LFjOTAhtTd9+nQAQHh4OPr27QsACAgIQI8ePfD3339j2bJlGDdunMhEIpXCpa9EKsLBwaHAsAQAtLS00Lt3bwDA06dPRWSRmuvWrdtrwxIAyoOljIyM0k6ickRfXx/Ozs68bp6E2bhxI6KiorB8+fLX/g4mUjeJiYm4evUqWrVqpRyWAICmpiamTZsGANiyZYuoPCKVxIEJkQpTKBT4+++/AQA2NjaCa6g8uXv3LgDwWmYiUlsPHz7EuHHj4O3tDSsrK9E5RCXu7NmzAIDPP//8tfvatGkDXV1dJCQklHIVkWrjJTlEKmbOnDl4+vQpHjx4gH379uH8+fP44YcfYGtrKzqNygmFQoGJEydCW1sbPj4+onOIiEqEt7c3qlatiilTpohOISoVt2/fBgA0aNDgtfs0NDRgaGiIixcv4sWLF3yHRqL/cGBCpGLmzJmj/O0+8O+75+Rfb0pUGnx8fLB9+3YsXrwYzZo1E51DRFTsYmJisHLlShw4cIA/GFK58fz5cwBAhQoVCr0///bs7Gy+Loj+w4EJkYqZMGECnjx5goyMDJw4cQKLFy/Gvn37cPDgQdSpU0d0HqkxhUKBH3/8Eb/99htmz56N0aNHi04iIip2OTk5GDlyJL7++mvY2dmJziEqNfkDkfzByavyb69YsWKpNRGpOg5MiFTMhAkTCvzznDlz4O3tjRkzZmDRokWCqkjd5eXl4euvv8aqVaswd+5cjB8/XnQSEVGJ+P3333Hx4kV0794dfn5+ytsvXrwIADh69Cj8/PzQqVMndO7cWVAlUfGrW7cuAOD69euv3SeXy3Hjxg1Uq1aNZ5cQvYQDEyIV5+bmBm9vb8THx4tOITX14sULuLu7Y8uWLQgODsbYsWNFJxERlZhr164BAObPn1/o/bGxsYiNjcXPP//MgQmpFWtrawDAgQMHXrsvLi4Oz549w2effVbKVUSqjQMTIhVw7do1vHjxAk2aNHntvpUrVwIAateuXdpZVA48ffoUzs7OOHDgABYtWoQxY8aITiIiKlFOTk4wMDB47faLFy9i48aNsLGxQdeuXdGpUycBdUQlx9LSEo0aNcKpU6ewefNm5VsL5+XlYerUqQCAPn36iEwkUjkcmBCpgKSkJDg7O6NDhw4wMzNDzZo18eDBA8TExOD8+fMAgFGjRgmuJHXUr18/7N+/H5aWlrh3716B09OBf6939vX1FRNH5cK8efPw+PFjAMC9e/cAAP7+/tDS+vcQ5aeffkKlSpWE9ZH6cXJygpOT02u3b9myBRs3boStre1r3wuJ1MWUKVPg6ekJV1dXuLm5oX79+tizZw/i4+NRr149fP3116ITiVQKByZEKuDTTz+FlZUVDh8+jMOHDxe4r0aNGpg3bx66d+8uqI7U2ZUrVwAAiYmJSExMfO3+qlWrcmBCJWrevHlIS0srcFtAQIDy//7uu+84MCEiKiZDhw7FpUuXMGvWLKxbt055u6GhIbZu3QpdXV2BdUSqhwMTIhVgYWGBM2fOKD/S0tKgp6cHc3NzdOrUqci3fyP6WGPHjsWDBw+KvJ/PPSpp48ePV55hUhgOS6i0mJmZYerUqbC1tRWdQlSiAgICMHToUERFReHx48cwNjZGjx49+P2WqBAcmBCpkObNm6N58+aiM6gc4YJXEo3vyESqwszMjJfiULlhamoKU1NT0RlEKk9DdAARERERERERkarhwISIiIiIiIiI6BUcmBARERERERERvYIDEyIiIiIiIiKiV3BgQkRERERERET0Cg5MiIiIiIiIiIhewYEJEREREREREdErODAhIiIiIiIiInoFByZERERERERERK/gwISIiIiIiIiI6BUcmBARERERERERvYIDEyIiIiIiIiKiV3BgQkRERERERET0Cg5MiIiIiIiIiIhewYEJEREREREREdErtEQHEKmKjIwMLFu2THSGSjp79qzoBLV28uRJPveK8PjxY9EJao/Pv6Lx+VeywsPDUatWLdEZKufGjRuiE6gE8XizaDzeJFXEgQkRgAoVKuDRo0eYMGHCR38thUIBiURSDFWqxdraWnSCWqpcuTL27duHffv2lcrjyeVyaGiUrZMLK1SoIDpBbZX2868s4vOv+GlqaqJKlSqYPXu26JT3UprfP6tUqQJNTc1SeSwqPcV5vClSSR7r8niTVI1EoVAoREcQqYPc3FzMnTsXT548gb+/v+gcoteMGTMGXbt2RZ8+fUSnEBXqf//7H9zc3KCvry86heg1NjY2CAkJQePGjUWnEAk1depUtGvXDk5OTqJTiErayrL1a0YiFXX+/Hm0bdsWvr6+cHR0FJ1D9JqFCxdi8eLF0NLiiYWkukJCQvDnn3+KziAq1KNHj+Do6IjMzEzRKURCGRsbo3fv3li5cqXoFKISx4EJ0UfIy8tDUFAQmjdvjvj4eOjr68PGxkZ0FlEBUVFR8PLyAgBIpVLBNUSFS01NRVxcHEJDQ0WnEBVKU1MTV65cQc+ePZGTkyM6h0gYa2tr5ObmYvjw4fDy8oJcLhedRFRiODAh+kCpqamws7PDpEmTIJPJIJVK4eLiUub2Q5B6S0lJQf/+/ZX/zIEJqaoNGzZAoVAgNjYWN2/eFJ1D9JqKFSsCAI4fP45vv/1WcA2ROObm5sodOwsXLsTgwYM5RCS1xZ/siN6TXC7H0qVL0bRpU5w8eVI5VZfJZOjbt6/gOqL/9/jxY/Ts2RPZ2dnK5ykHJqSq8s8s0dLSQlhYmOAaotfp6OgA+Pfs0hUrVmD+/PmCi4jE0NbWhqmpKYB/j4vDw8NhZ2eH9PR0wWVExY8DE6L3kH9WyTfffIMXL15AJpMp79PT08Pnn38uLo7oJXl5eXB1dcW1a9eQm5urvJ0DE1JFZ86cwaVLlwD8u0Cbl+WQKso/wwT4911Cxo8fj23btgksIhKndevWyr1oubm5iI+PR5s2bXD58mXBZUTFiwMToneQf1ZJs2bNEBcX99q1mlpaWujduze0tbUFFRIV5OXlhb179xYY6gEcmJBq2rBhg/K5qVAokJiYiPPnzwuuIioo/wyTfBKJBO7u7khISBBURCSOtbV1gbcWlslkSEtLQ/v27XHy5EmBZUTFiwMTore4cuWK8qyS58+fv/YDKPDvb/P79esnoI7odStXrsSiRYuQl5f32n0cmJCqUSgUWLt2bYHvrdra2ggPDxdYRfS6l88wAf79ZYpMJoOjoyPu3r0rqIpIDGtr69eOiWUyGR4+fAg7OzuefUVqgwMToiLI5XLMmzcP5ubmhZ5V8jKpVIpu3bqVYh1R4WJiYjBq1Kgi7+fAhFTNkSNHcOvWrQK35eTkYNWqVYKKiAqno6Pz2mL33Nxc3L9/H927d0dWVpagMqLS17x580Jvz8vLw4sXL9C3b18sWLCglKuIih8HJkRFyMrKQmxsLHJycgo9qySfpqYmunbtCl1d3VKsI3rd1atX4ezs/NbhHpEqeflynJddv36dp3WTSilsYAL8+1v1pKQkeHh4QKFQCCgjKn01a9aEvr5+ofcpFArI5XJ4eXlh7NixfNthKtM4MCEqgp6eHiIiIhASEgJtbW3lYqtXKRQKuLi4lHIdUUFPnjyBk5MTnj17xoEJlRm5ubnYsGFDoUNpqVSKDRs2CKgiKpyOjk6BnQ0vy83NxebNm+Hv71/KVUTitGjRosjXBPDvMfKCBQvg7u7OoQmVWRyYEL2Fh4cHYmNj8cknnxT6myWJRIKePXsKKCP6V15eHgYMGIBLly698WwoAEUO/ohEiIqKQmZmZqH3yWQyrFmzptBdPEQivGlgAvx7Ke/UqVO5f4fKjZYtWxb5i5j8Y2ZbW1v4+voWegxNVBbwmUv0Dlq2bInmzZtDW1u7wMGShoYGOnXqhBo1agiso/IuKSkJd+/eRV5e3lvPIOEZJqRK1q9f/8bn5P379xETE1OKRURFe9PAREtLCxKJBFWqVMHp06d5aQ6VC9bW1sjNzX3tdg0NDdSqVQshISE4fPgwWrZsKaCOqHhwYEL0DhYsWIDt27cjMjISwcHBkEqlyoOjAQMGiM6jcs7a2hpnzpzB+fPnMWnSJHzyyScACj+bhG99Tari+fPn2Lx58xvPipJKpVi/fn0pVhEVrbDvn5qampBIJLCzs8Pq1atx+/ZtBAYGvvFMFCJ1YW1tXeBSG6lUCk1NTejq6ir3+vC1QGUdByZEb3Hy5El4e3vDz88P9vb2+P7773H06FHUrVsXcrkcffr0EZ1IBAAwNzeHn58fLly4gIoVK8LS0hLa2trKA3qAl+SQ6oiMjMSzZ8/e+DkymQwbN25ETk5OKVURFU1HRwe5ubnKs6IaNWoEfX19eHh4IDo6Gh4eHq+99TCROmvSpAm0tbWhoaEBDQ0NeHh44OzZs9DQ0OA75JDa4JEz0Rs8fPgQbm5usLW1xaRJk5S3t27dGgkJCVi4cKHyt/lEqmLz5s3Iy8vDnj17oKWlhY0bN2L58uU4efIkL8khlXH27FlYWloWuHQhJSUF1atXR82aNZW3aWlp4cyZM2jbtq2ITCIlHR0dVKhQAW5ubhg2bBg6dOiAoKAgzJo1C9nZ2RyWULmjpaUFc3NzVKlSBQsWLIC1tTUAYOLEiZg2bRqGDRuGBg0aCK4k+jgSBS+yJCpS//79ceTIEZw5cwZ16tQRnUP0Tjp37ozq1atj06ZNBW5PTk5G48aNeXosqSxTU1N4enoWGFATqYobN26gRo0a0NXVVd52584dGBoaYs2aNXB3dxdYRyRGSkoKGjduXOC2nJwcNGvWDO3bt0doaKigMqJisZKX5BAVITg4GFu2bMG6des4LKEy459//sHBgwcxZMiQ1+5r0qQJhyVERB/I0NCwwLAEAOrUqYNu3bph1apVgqqIxHp1WAL8u+9n1qxZWLt2LY4cOSKgiqj4cGBCVIi4uDj89NNPmD59Orp06SI6h+idrVmzBvr6+nB0dBSdQkRULnh6emLv3r24fv266BQildG/f3906tQJEyZM4LtGUZnGgQnRK/L3lnTs2BG+vr6ic4jey9q1azFw4EDuKiEiKiW9evWCvr4+Lz0gesX8+fNx4sQJhIWFiU4h+mAcmBC9RKFQYNiwYcjOzsa6deugqakpOononR05cgTJycmFXo5DREQlQ1tbG19++SVWrlzJ36QTvaR58+YYOnQofvrpJ2RlZYnOIfogHJgQvWT+/PnYtm0b95ZQmRQSEoJmzZqhefPmolOIiMqVESNG4OrVq4iJiRGdQqRSZs6cicePH2Pu3LmiU4g+CAcmRP+Ji4uDr68vZsyYgc6dO4vOIXovz58/R0REBDw9PUWnEBGVO5aWlmjRogWXvxK9onbt2vDx8UFgYCBu3LghOofovXFgQgQgMzMTbm5u6NKlC3x8fETnEL23LVu24OnTp/jqq69EpxARlUuenp6IiIjAkydPRKcQqZTx48ejVq1amDJliugUovfGgQmVe/l7S2QyGUJDQ6GhwZcFlT0hISHo3r07LyUjIhJk4MCByM3NRUREhOgUIpVSoUIFBAUFITQ0FHFxcaJziN4LfzKkcm/evHnYvn071q9fDwMDA9E5RO/t1q1biIqK4rJXIiKBatSoAWdnZ16WQ1QIV1dXdOzYEV5eXlyOTGUKByZUrp04cQKTJk2Cv78/7OzsROcQfZC1a9eiSpUq6NWrl+gUIqJyzdPTE4cPH8bFixdFpxCpnPnz5+P48eM8C4vKFA5MqNx6eW+Jt7e36ByiD7Z27Vq4u7tDR0dHdAoRUbnWrVs3GBoaYs2aNaJTiFROixYtMHjwYEyYMIFvM0xlBgcmVC7l7y3Jzc3l3hIq006ePInExERejkNEpAI0NDQwcOBAhISEIC8vT3QOkcoJCgrCw4cPMX/+fNEpRO+EPyVSuTRnzhxs374dGzZs4N4SKtNCQkLQuHFjtGvXTnQKERHh38ty8ndLEVFBtWvXhre3N2bNmoXbt2+LziF6Kw5MqNw5fvw4Jk+ejJkzZ6Jjx46ic4g+WE5ODsLCwuDp6Sk6hYiI/tO4cWPY2tpy+StRESZMmAB9fX1MnjxZdArRW3FgQuVKZmYm3N3dYW9vjwkTJojOIfoo27dvx4MHDzBw4EDRKURE9BJPT09s2bIF6enpolOIVE7FihUxa9YsrF69GidPnhSdQ/RGHJhQuaFQKODp6Ym8vDyEhIRAIpGITiL6KCEhIejSpQsMDQ1FpxAR0Uvc3Nygra2NsLAw0SlEKsnd3R22trYYN24c32aYVBoHJlRuzJ49Gzt27ODeElIL9+/fx65du7jslYhIBenp6aF///68LIeoCBKJBMHBwYiNjcVff/0lOoeoSByYULlw7Ngx/PLLLwgMDESHDh1E5xB9tHXr1qFixYro27ev6BQiIiqEp6cnTp8+jbNnz4pOIVJJLVu2xFdffQVvb288f/5cdA5RoTgwIbX34MEDuLu7o2vXrhg/frzoHKJiERISAhcXF1SqVEl0ChERFaJTp04wNjbG6tWrRacQqazAwEDcu3cPwcHBolOICsWBCam1/L0lcrmce0tIbSQlJeHMmTO8HIeISIVJJBIMGTIEa9aswYsXL0TnEKmkevXqYcKECQgICODbDJNK4sCE1FpgYCB27dqFsLAw6Ovri84hKharVq2CkZER3xabiEjFeXp64uHDh9ixY4foFCKV5ePjg+rVq2Pq1KmiU4hew4EJqa1jx45h6tSpCAoKgq2tregcomKRm5uL9evXY+jQoTxjiohIxdWvXx+dO3fm8leiN6hYsSICAgKwYsUKnDp1SnQOUQEcmJBaevDgAdzc3NCtWzeMGzdOdA5Rsdm9ezfu3r2LwYMHi04hIqJ34Onpid27d+PWrVuiU4hU1sCBA2FjYwNvb2/RKUQFcGBCakcul2PgwIEAgNWrV/O38KRWQkJC0KlTJ3z66aeiU4iI6B307dsXlStXxtq1a0WnEKksiUSCOXPm4MCBA9iyZYvoHCIlDkxI7cyaNQv79u3j3hJSO5mZmYiMjOSyVyKiMqRChQpwd3fHihUroFAoROcQqaz27dvjyy+/xI8//shFyaQyODAhtXLo0CH4+fnh119/hY2NjegcomIVFhYGLS0tDBgwQHQKERG9B09PT6SkpOD48eOiU4hUWlBQEO7evYsFCxaITiECwIEJqZH79+/jq6++Qvfu3TF27FjROUTFLiQkBP369UPlypVFpxAR0Xto06YNrKysuPyV6C3q16+P8ePHY/r06bhz547oHCIOTEg9yOVyDB48GJqamggJCeHeElI7+b+Z5OU4RERlk4eHB8LCwpCVlSU6hUil+fr6olq1apg2bZroFCIOTEg9zJw5E9HR0QgLC0ONGjVE5xAVu1WrVqFevXr4/PPPRacQEdEHGDx4MLKzs/HXX3+JTiFSaZUqVcKMGTOwbNkyJCYmis6hck6i4PYpoZ48eYKMjAykp6fj4cOHkMlkePr0KQDg2bNnyMnJgY6ODipVqgQAqFy5MrS0tFCjRg3o6+tDX18fenp6Iv8VhDt48CC6dOmCefPm8VIceicKhQIZGRnKj6ysLOXrDQAePnwIhUKhfL1paGigatWqkEqlytedvr4+tLW1S6VXLpfDyMgIgwcPRkBAQKk8JlFJePHiRYHXXm5urvL1JpPJ8MMPP8DW1hZfffUVACj//tPV1S3w2iMqq/r06YMnT55g3759pfq4PN6kskahUKB9+/bQ09Mr9ddLcSlrx5tUqJUcmJSwGzdu4Pz587h69SquXbum/Lh+/ToyMjKUL5jCVKpUCTo6Onj+/Dmys7OL/DwdHR3o6+ujYcOGMDIygpGRERo1agQjIyM0bdoUn3zySUn8q6mEe/fuoUWLFmjVqhW2bt3KS3EIACCTyZCcnIyUlBTla+7q1au4evUq7t69i4yMjDe+U0G1atUgkUjw+PFj5OXlFfl5lStXRp06ddCgQQPla87IyAgmJiZo2rRpsR1cRkVFoWvXrrhw4QLMzMyK5WsSlYTHjx/j3LlzuHz5svJ1l/933t27d5U/oBVGS0sLenp6UCgUePToUZGfp6GhAX19fdSpU0f5usv/3yZNmsDU1BRaWlol8a9H9NG2bt2Kvn374tKlSzA2Ni62r8vjTVJHsbGx6NChA7Zu3YpevXqJznmNuh1vUqE4MCkucrkcFy5cQGxsLBISEpQfmZmZAICqVasWeIIbGRkVmBzWrFkT1apVg7a2NnR1dYt8nKdPn0Imk+HBgwdIT09XTizT09MLvFCvXbuGJ0+eAAAMDAxgZWWl/LCxsUGTJk3K/HBBLpfD0dERycnJOH36NC/FKaeysrIQFxeHuLg4JCQkIDExEefPn0dOTg4kEgnq1q1b4LX3ySefwMDAADVr1lS+/ipVqgQ9PT1IpdIiHyczMxMymUz5est/7d2+ffu1g1OZTAYNDQ00atQI1tbWsLS0RIsWLWBra4uaNWu+97/joEGDcOXKFRw9evRj/lMRFas7d+7g6NGjiI+PV772rl69CuDfH6waNGig/IGqYcOGqFOnjvI1Z2BgAH19fUilUlSrVq3Ix8jJycGzZ8/w7Nkz5Wvv/v37yMjIQFpaWoG/9/KXA1aoUAFNmzaFlZUVLC0t0aZNG7Ru3RoVKlQolf8uRG+Sm5sLQ0NDjBo1Cn5+fu/953m8SeWNu7s7Tp48iXPnzkFHR0dYR3k43qRCcWDyoWQyGWJjY3Ho0CHExsbi6NGjePjwIXR1dWFpaan8y8LS0hLNmjUT8sN8enq68gWdmJiIhIQEJCUlITs7G/r6+rC1tUWHDh1gZ2eHdu3aQVNTs9QbP8b06dMxc+ZMHDnyf+zdeXhMd98G8HtmsskiuwiCxBKySEgsWSohSigl1mqpXbVVLV7LU1r10I1SVVpr0cUuqpQQJEjEmoRYoxJb7EEilmzzff/wzDR7ZpKZc2Yy3891+aPJzPzuM82Zc8/vbPHw8/MTOw4TSGZmJmJiYhAfH6/8spafnw9nZ+diRc3b2xstWrQQfONaWFiIa9euFVv3zpw5g6tXr0Iul8Pd3R0BAQEIDg5GaGhopXsYs7Oz4ezsjIULF+K9994TaCkYK+3SpUuIjY3F0aNHER8fj7S0NMhkMjRv3hze3t7Ksubt7Y2GDRtCKhX2MmkvXrzAxYsXleue4ovk/fv3YWpqCj8/PwQGBirXPWtra0HzMabwf//3f9i6dSvS0tIqXU+4bzJDd/PmTbRo0QJz587FxIkTBRvX0PomKxdPmKjj3r172Lt3L3bt2oXo6Gg8efIEzs7O8PPzQ3BwMIKCgtCuXTudPs+ssLAQly5dQnx8POLi4nDkyBFcu3YNlpaWCA0NRa9evdCjRw80aNBA7KgVUly3ZNGiRRg/frzYcZgWyeVyJCUlYf/+/di/fz8OHTqk3BAo1js/Pz94enqKHbVCT58+xfHjxxEXF4fTp0/jyJEjyMrKgpubG7p06YIuXbogPDy81C2DV69ejfHjx+P27duwtbUVKT0zRM+fP8fRo0exf/9+7NixA5cuXYKlpSV8fHyU615wcLDO/13evn1buc2Lj49HUlISJBIJfH190bNnT/Tq1Qtt2rThveBMMOfPn4eXlxcOHDiAzp07l/o9903Gips5cyaWLl2KK1euwMHBQStjGHrfZOXiCZPKXL16FZs3b8bmzZuRnJwMc3NzdO7cGd27d0d4eDjc3NzEjlhtqamp2LNnD/bs2YNDhw4hNzcX/v7+GDhwIAYMGIBGjRqJHbEYxXVLAgMDsWXLFrHjMC2Qy+U4fPgwNm/ejG3btuH+/fto0KABwsPD0b17d3Tp0gW1a9cWO2a15Ofn4+jRo9izZw+ioqJw5swZ1KpVC927d8fAgQPRs2dPWFhYoGPHjnB2dsamTZvEjswMQHZ2Nnbs2IHNmzcjOjoa+fn5aNOmDcLDw9GjRw+0a9dO7/cOP3r0CNHR0dizZw/27t2LuymyOzAAACAASURBVHfvon79+ujXrx8GDRqEgIAAnjxhWteuXTu4u7vjt99+A8B9Uxf7JtMdOTk5cHd3R0REBJYsWaKx1+W++W/fZOX6BcRKycjIoG+//Zb8/PwIADk6OtK4ceNo79699OLFC7HjadWzZ89o165dNHLkSLKzsyOJREIdOnSg77//nu7duyd2PCosLKTXX3+dmjRpQk+ePBE7DtOwhIQEGj9+PDk7OxMAatWqFc2dO5fOnDkjdjStu3XrFq1YsYJef/11MjIyInNzc+rduzeZm5vTjh07xI7HarAXL17Qhg0bqHfv3mRmZkYmJib0xhtv0Jo1a3Tic1+b5HI5nT59mmbNmkUtW7YkAOTi4kKTJk2ixMREseOxGuznn3+mevXq0ddff819Uwf7JtM9v/zyC8lkMkpJSan2a3HfLN43BwwYQJGRkZSXlyd2PF20midM/qegoIB27txJvXv3JiMjI7K3t6fRo0fTvn37qKCgQOx4osjLy6O///6bhg0bRtbW1mRiYkIDBgygffv2UWFhoSiZZs2aRaampnTq1ClRxmea9+jRI1q8eDF5e3sTAPL09KTZs2fTxYsXxY4mmgcPHtCyZcuoc+fOJJVKycnJiaZNm0ZXrlwROxqrQc6fP0+ffPIJ2dvbk5GREYWHh9Mvv/xCjx49EjuaaM6ePUszZ86kZs2aEQDy9/enZcuWUVZWltjRWA2h6Ju9evXivvk/utg3me4pLCwkf39/CgsLq9LzuW+Wxn1TJTxhcv/+fZo9ezY1aNCAJBIJde7cmTZs2EAvX74UO5pOef78Oa1bt46Cg4MJALm5udE333wjaLGOiYkhmUxGS5cuFWxMpj2nTp2ioUOHkpmZGVlaWtLo0aPp+PHjYsfSOdevX6dZs2aRi4uL8jMqMjKSSySrkvz8fFq/fj0FBQUpP8u//PJLun37ttjRdM7hw4dp6NChVKtWLeVnlCb2bDLDxH1TNbrQN5nuio+PJ4lEQn///bfKz+G+qRrum+Uy3AmTS5cu0XvvvUe1atUie3t7nk1Tw4ULF2jixIlkbW1NlpaWNGHCBEpLS9PqmHfv3iVnZ2caMGCAVsdh2iWXy2nnzp0UGhpKAMjX15eWL19O2dnZYkfTeQUFBbRr1y7q1asXSaVSatq0KS1dupSePXsmdjSmB7KysmjBggXUsGFDkslk1L9/f957q6LHjx/Tjz/+SB4eHiSRSCg8PJyio6PFjsX0BPfNqhOjbzLd179/f2rRokWFp49w36w67pulGN6EycmTJ+nNN9/kPwANyM7OpoULF1KjRo1IJpPRwIED6ezZsxofp7CwkLp06UJNmzbl65boqYKCAlq7di21aNGCJBIJde/enfbv3y92LL11+fLlYgV81qxZ9PjxY7FjMR10//59mjp1qvILx8cff8xfOKpILpfT33//TZ06dSIA5OPjQ5s2beJJJ1Ym7puaI1TfZPohLS2NzMzM6Icffij1O+6bmsV9k4gMacIkOTmZevfuTRKJhNq3b8+HGGlQfn4+bdiwgXx8fEgqldJbb72l0fMBP/vsMzI1NaXTp09r7DWZMAoLC2n9+vXk7u5ORkZGNHz4cDp37pzYsWqM+/fv0xdffEF2dnZka2tLc+bM4b0njIhenas9Y8YMsrS0pDp16tA333xjiCVHa06fPk1vvfUWSaVSatWqFW3fvp3kcrnYsZgO4L6pPdrum0x/TJ8+nWxtbenhw4dExH1T2wy8b9b8CZPLly/TgAEDSCKRUJs2bWjnzp1iR6qx5HI5bdmyhTw9PUkmk9HQoUMpPT29Wq958OBBkslk9PPPP2smJBNMZGRksb8FPgRZe548eUKzZs0ia2trcnBwoHnz5tX4OyywsuXk5NDs2bPJ2tqa7O3t6ZtvvqGcnByxY9VY586do/79+5NEIiE/Pz+KiooSOxITCfdN4WijbzL9kp2dTc7OzjRhwgTumwIy0L5ZcydMHj9+TJMmTSJjY2Py8vKiyMhI3vsjkMLCQvrjjz+oefPmZGZmRjNmzKCnT5+q/TqK65YMHDhQCymZtiQnJ1OnTp1IIpHQoEGDeO+PgDIzM+nTTz8lCwsLcnV1pa1bt4odiQlELpfTr7/+SvXr1ydra2v673//a0h7f0SXnJxMb775JgGgHj160KVLl8SOxATCfVM8muqbTD99/vnnVKtWLe6bIjCwvlnzJkwKCwtp3bp15OTkRHZ2drRo0SKDvU2b2PLy8mj58uXk4OBAzs7OtHz5cpUPSy163RK+naN+ePjwIU2YMIFkMhn5+/tTXFyc2JEMVkZGBo0dO5akUimFhIRQUlKS2JGYFp08eZKCgoJIKpXS0KFD6e7du2JHMlgxMTHk4+NDxsbGNHbsWHrw4IHYkZiWcN/UHdXpm0z/FO2bbdq04b4pIgPpmzVrwiQxMZHatGlDxsbGNHHiRD5fW0fcv3+f3nvvPZLJZBQUFEQXLlyo9DkzZ84kMzMzSkxMFCAhqw65XE4rV64kGxsbql+/Pv3666+8d01HHDt2jNq3b08ymYw++eQTPjWjhnn8+DGNGTOGJBIJhYaGUnJystiRGL266OCyZcvI0dGR6tSpQxs2bBA7EtMw7pu6qSp9k+kP7pu6q4b3zZoxYfL8+XOaNm0aGRkZUXBwMH9A6qjExETy8/MjU1NT+u9//0u5ubllPu7AgQMkk8lo+fLlAidk6rpy5Qp16tSJZDIZTZo0qaZ9QNYIcrmcVq9eTba2ttS4cWO+xkINERkZSfXq1SMnJyf+Qq6jHj9+TGPHjiWJREI9e/akGzduiB2JVRP3Tf2gat9k+oP7pu6rwX1T/ydMDh8+TM2aNaPatWvTTz/9xIfg6biCggL67rvvyNzcnLy8vOjEiRPFfn/37l2qW7cuX7dExxUUFNC8efOoVq1a1KpVq1L/H5nuuXPnDg0YMIAA0NChQ+nRo0diR2JVcPfuXerXrx9JJBIaPnw4ZWZmih2JVeLQoUPUvHlzsrKyoqVLl/IeUT3FfVO/VNY3mX7gvql/amDf1N8Jk7y8PPrPf/5DMpmMevbsSTdv3hQ7ElPD1atXKSwsjIyNjenLL7+kgoICKigooLCwMGrWrBlft0SHXb9+nUJCQsjU1JS+/PJLysvLEzsSU8OOHTuoXr165OLiQgcPHhQ7DlPDrl27yMnJiVxdXSk6OlrsOEwNL168oE8//ZSMjIyoe/fufJ0ZPcJ9U7+V1TeZfuC+qd9qUN/UzwmTtLQ0CgwMpFq1atGiRYvEjsOqSC6X0/Lly8nc3Jw6dOhAH330EdWqVYvOnDkjdjRWji1btpCdnR21bNmSry+jxx4/fkyDBw8miURCEyZM4MOVddyLFy9owoQJJJFIaMCAATVhb43BOn78ODVt2pQcHR3pr7/+EjsOqwT3zZqhZN+8evWq2JFYJbhv1gw1pG/q34TJmjVryMLCgvz9/fm2fTVEcnIyeXp6Uu3atWnKlClix2FlePbsGQ0bNowkEgl9+OGH9Pz5c7EjMQ1YuXIlWVhYkJ+fH6WlpYkdh5Xh/Pnz5OHhQTY2NnytkhoiKyuL3n33XZJIJPTRRx/pa4Gs8bhv1jyKvmljY1PTb4Oqt7hv1kx63jf1Z8IkNzeX3n//fZJIJDRlyhQ+LKuGef78OY0bN44kEglNnTqVD5nUIVevXiUfHx+ys7OjXbt2iR2Hadjly5fJ19eX7OzsaM+ePWLHYUVs2bKFrKysKDAwkK5fvy52HKZhGzZsUP7/zcjIEDsO+x/umzUb903dxX2zZtPjvqkfEya3bt2igIAAsrS0pC1btogdh2nR77//Tubm5tSxY0c+x1sH7N69m2xtbcnX15cPYa3BXrx4QaNGjSKJRELTpk3jixmKrKCggKZNm0YSiYTGjh3LRyDUYJcvXyZPT09ydHSk/fv3ix3H4HHfNBzcN3UL903DoKd9U/cnTI4ePUpOTk7UokULunjxothxmAASExPJ1dWVGjZsSMnJyWLHMVhfffUVSaVSGjZsGB8SaSCWLFlCJiYm1Lt3b3r69KnYcQzS48ePKSwsjGrVqkXr1q0TOw4TQFZWFvXt25eMjIxoyZIlYscxWNw3DQ/3Td3AfdPw6Fnf1O0Jky1btlCtWrXozTffpOzsbLHjMAFlZmZSWFgYWVlZ6dthW3ovLy+PRo0aRTKZjH788Uex4zCBxcfHU506dahNmzZ0+/ZtseMYlPT0dPLw8KAGDRrwRe4MjFwupy+//JIkEglNnDhRX/a61RjcNw0X903xcN80bHrUN1dLoaN++OEHDBo0CEOHDsW2bdtgZWUldiQmIDs7O0RFReHtt99Gz549sXTpUrEjGYScnBz06dMHGzduxPbt2zF+/HixIzGBBQYG4tixY3jx4gXatm2L5ORksSMZhJMnT6JDhw6QyWQ4evQoWrduLXYkJiCJRIJPP/0UW7ZswbJly9CvXz88f/5c7FgGgfumYeO+KQ7um0yv+qbYUzYlFRYW0gcffEBSqZS+//57seMwkcnlcpo9ezZJJBKaPn06yeVysSPVWBkZGeTt7U316tWj06dPix2HiSwzM5NCQkLI2tqaDh48KHacGu2vv/4ic3Nz6t69O+/dZnTkyBGyt7en9u3b04MHD8SOU2Nx32RFcd8UDvdNVpQe9E3dOiUnPz+fhgwZQqamphQZGSl2HKZD1q1bR0ZGRvT+++/zocpakJ6eTk2aNCEPDw+6ceOG2HGYjnj58iW99dZbZGZmxles15KNGzeSsbExjR49mvLz88WOw3REamoqubq6kqenp64fqqyXuG+y8nDf1C7um6wsOt43deeUnLy8PAwePBiRkZH466+/EBERIXYkpkPeffddbN++HWvWrMHQoUNRUFAgdqQaIzU1FR07doSVlRViY2Ph4uIidiSmI0xNTfHHH39gyJAhiIiIwJYtW8SOVKMo3tuxY8dixYoVMDIyEjsS0xHNmjVDfHw8ACAoKAhpaWkiJ6o5uG+yinDf1B7um6w8ut43dWLC5OXLl4iIiMC+ffsQFRWFrl27ih2J6aCePXvizz//xJ9//onBgwcjLy9P7Eh679y5cwgJCUH9+vVx8OBBODo6ih2J6RipVIoVK1bg/fffx+DBg7Fu3TqxI9UIP/30E4YOHYrp06djyZIlkEgkYkdiOsbZ2RkHDhyAlZUVOnXqhCtXrogdSe9x32Sq4L6pedw3WWV0uW+KPmGSl5eH/v37IyEhAfv378drr70mdiSmw7p164bdu3dj7969GDJkCAoLC8WOpLcuX76MLl26wN3dHfv27YOtra3YkZiOkkgk+OGHHzB16lSMHDkSf/zxh9iR9NqKFSswfvx4fPXVV5gzZ47YcZgOc3JyQkxMDJycnBAWFoZr166JHUlvcd9k6uC+qTncN5mqdLVvSoiIxBq8sLAQ77zzDvbs2YPo6Gi0a9dOrChMz8THx6Nbt27o168f1qxZA6lU9Lk/vXLjxg107NgRzs7O2LdvH98VgKls+vTp+O6777BhwwYMGDBA7Dh65/fff8ewYcMwe/ZszJw5U+w4TE9kZWWhc+fOyMrKwuHDh1GvXj2xI+kV7pusqrhvVg/3TVZVOtQ3fxHthGkiwnvvvYedO3di9+7dvPFiagkKCsL27dvRq1cvWFpa8m3g1JCRkYFOnTrBxsYGu3fv5o0XU8vXX3+Np0+fYsiQIbCwsECPHj3EjqQ3tm/fjhEjRuDjjz/myRKmFmtra0RFRSE0NBSdOnXC4cOH4eTkJHYsvcB9k1UH982q477JqkOX+qZoR5iMHz8eq1atws6dO/H666+LEYHVAJGRkRg0aBCmTZuGuXPnih1H5z169AhBQUGQyWSIjY2Fg4OD2JGYHpLL5RgxYgS2bt2K/fv3IyAgQOxIOi86Oho9e/bEe++9h8WLF4sdh+mpjIwMdOzYEba2toiNjYWlpaXYkXQe902mCdw31cN9k2mCjvTNX0SZMFm4cCGmTJmCLVu2oG/fvkIPz2qYNWvWYNSoUVi5ciVGjRoldhydlZubi65du+L69etISEiAs7Oz2JGYHissLERERASOHTuGhIQENGnSROxIOuvcuXMIDg5Gz5498dtvv/EFXlm1pKWlISAgAG3btsWOHTsgk8nEjqSzuG8yTeK+qRrum0yTdKBvCj9hsnPnTkRERGDevHmYNGmSkEOzGuzzzz/HN998g127dvFV78tARBg2bBh27NiBI0eOoFWrVmJHYjXAixcv0KlTJzx8+BAJCQl81fsy3LlzBwEBAWjYsCGio6NhamoqdiRWA5w6dQqhoaF4++23sWLFCrHj6CTum0wbuG9WjPsm0waR+6awEybHjx9Hp06dMHLkSCxZskSoYZkBICIMHToUO3fuRFxcHLy9vcWOpFNmzpyJefPmYc+ePQgLCxM7DqtBeEKgfDk5OQgJCcHz588RHx8POzs7sSOxGmT79u3o378/5s2bh8mTJ4sdR6dw32Tawn2zYtw3mbaI2DeFmzC5c+cO/Pz84Ofnhz///JMPIWUapzgE8ObNmzh16hR/OfmfTZs2YfDgwVi9ejVGjBghdhxWAylOOenfvz9WrVoldhydQEQYNGgQDh06hISEBLi5uYkdidVAilNO/v77b4SHh4sdRydw32Taxn2zbNw3mbaJ1DeFmTDJz89HWFgY7t27hxMnTsDa2lrbQzIDlZmZCX9/fzRt2hRRUVEGX5QuXbqE9u3bY8SIEVi0aJHYcVgNtnPnTvTp0wfLli3DmDFjxI4juvnz5+PTTz9FdHQ0QkNDxY7DarCRI0fizz//xMmTJw3+WkLcN5lQuG8Wx32TCUWEvinMhMlHH32EtWvX4tixY/D09NT2cMzAJSUlISgoCJMnT8acOXPEjiOap0+fon379rC1tUVMTAxMTEzEjsRqOMWhuDExMQgKChI7jmhiYmLQtWtXfPvtt3ztBKZ1L1++RHBwMPLz85GQkABzc3OxI4mG+yYTEvfNV7hvMqEJ3De1P2Hyxx9/YOjQodi0aRMGDBigzaEYU1qxYgXGjRuHHTt2oFevXmLHERwRISIiAidPnsTp06dRt25dsSMxAyCXy9GjRw9cuHABiYmJBnkbwVu3bsHPzw+dOnXCxo0bxY7DDERaWhratm2Lnj17Yt26dWLHEQX3TSYG7pvcN5nwBO6b2p0wuXr1Klq3bo0xY8ZgwYIF2hqGsTKNGDECu3btwpkzZ1CvXj2x4whq6dKl+OSTTxAbG2vQe/qZ8B49eoTWrVujdevW+PPPP8WOIyi5XI4uXbrg7t27OHHiBCwtLcWOxAzI7t270bNnT/z6668YMmSI2HEExX2TiYn7JvdNJjwB+6b2JkwKCgrQsWNHvHz5EseOHePDs5jgnj17Bj8/PzRs2BB79+6FRCIRO5IgLl68CD8/P0ybNg2zZs0SOw4zQHFxcQgNDcVPP/2EsWPHih1HMPPmzcPMmTMRHx+Ptm3bih2HGaBPPvkEa9euRXJyMho3bix2HEFw32Ri477JfZOJQ6C+qb0Jk1mzZmHevHk4ceIE33KLieb06dMIDAzEN998g4kTJ4odR+tyc3PRoUMHGBsbIz4+HsbGxmJHYgZqxowZWLRoEU6fPo0WLVqIHUfrkpKS0KFDB3z55Zf4v//7P7HjMAOVm5uL9u3bw9LSEocOHTKIC1Fy32S6gPsm900mDgH6pnYmTBISEtCxY0csXrwY77//vqZfnjG1fPXVV/jvf/+LkydP1vgyNXXqVCxfvhxJSUl8G1Mmqvz8fAQFBUEul+PYsWMwMjISO5LWvHjxAn5+fnB2dkZ0dDSkUqnYkZgBS0lJQbt27TBjxgzMnDlT7DhaxX2T6RLum4wJT4C+qfkJk9zcXLRu3RqNGjXC7t27DeawNKa7CgsL0bFjR+UdBGrqHrcTJ04gMDAQK1aswMiRI8WOwxhSU1Ph6+uLzz//HNOnTxc7jtb85z//wc8//4xz586hQYMGYsdhDAsXLsSnn36KxMREeHh4iB1HK7hvMl3DfZMxcWi5b2p+wuTzzz/HwoULkZKSAldXV02+NGNVdvnyZfj6+uKrr76qkYdKFhQUoF27drC2tsbBgwe5ODKd8fXXX2P27NlITk6ukafmnD17Fv7+/li8eDHGjRsndhzGALy6AHFwcDDkcjmOHj1aI4964r7JdBH3TcbEocW+qdkJk5SUFPj7+2P+/PmYMGGCpl6WMY344osvMH/+fKSkpNS4wwfnzp2Lr776CmfPnkXTpk3FjsOYUkFBAdq3bw8rKyvExMTUqHJVUFCADh06wMTEBHFxcTXySynTXykpKfDz88P333+PDz/8UOw4GsV9k+ky7puMCU+LfVNzEyZyuRyBgYGQSCSIj4/n4sh0Tl5eHlq3bg0XFxdERUWJHUdjLl++DB8fH8yZMwdTpkwROw5jpZw6dQodOnTA8uXLMWrUKLHjaMx3332Hzz77DElJSTXy6Bmm/2bMmIEff/wRFy5cqDGni3HfZLqO+yZj4tBS39TchMmaNWswduxYJCYm1vgLHTH9FRcXh44dOyIyMhJ9+vQRO45G9OjRA7dv38apU6dq9IU1mX775JNPsH79eqSmpsLGxkbsONV2584duLu7Y/LkyXw7RaazXr58CS8vL7Rv3x5//PGH2HE0gvsm0wfcNxkThxb6pmYmTJ4+fQp3d3f07dsXS5Ys0UQwxrTm7bffxvHjx3HhwgWYmpqKHadadu/ejTfeeAMxMTEIDQ0VOw5j5Xry5AmaN2+OoUOHYsGCBWLHqbYRI0Zg//79uHz5MszNzcWOw1i5tm/fjn79+uHQoUN47bXXxI5TLdw3mT7hvsmY8LTQNzUzYTJ9+nSsWLECqampcHBw0EQwxrTm1q1baNGiBT7//HNMnTpV7DhVVlBQAF9fX7Rs2RJbtmwROw5jlVq2bBkmTJiAlJQUuLu7ix2nypKSkuDv74/169dj0KBBYsdhrFLdunXDw4cPcfLkSb0+hYX7JtMn3DcZE4eG+2b1J0zS0tLg4eGBefPm8YW3mN6YPXs2Fi5ciNTUVDg5OYkdp0p++OEHTJ8+HRcuXOA7BDC9UFhYiDZt2sDFxQW7du0SO06VKfbSHz58uEZdxJbVXCkpKWjdujVWr16NYcOGiR2nSrhvMn3EfZMx4Wm4b1Z/wuTdd9/FiRMnkJKSAmNj4+oGYkwQz58/R/PmzdG3b18sXrxY7Dhqe/r0Kdzc3DBq1Ch88803YsdhTGUHDhxAly5dcPjwYb08PWDnzp3o3bs3Tpw4AX9/f7HjMKaycePGYc+ePUhNTdXL0wO4bzJ9xH2TMXFosG9Wb8IkNTUVnp6e+O233/DWW29VJwhjgvvpp58wadIkXLlyBS4uLmLHUcuXX36JefPmIT09HXZ2dmLHYUwtnTt3Rn5+Po4cOSJ2FLUQEfz8/NC4cWNERkaKHYcxtdy+fRtNmzbFd999hw8++EDsOGrhvsn0GfdNxsShob5ZvQmTQYMG4fz58zh79qxenxPLDFN+fj7c3d3RrVs3/Pzzz2LHUVlWVhbc3Nzw0Ucf4YsvvhA7DmNqi4+PR3BwMA4cOIDOnTuLHUdl27Ztw4ABA5CUlAQfHx+x4zCmto8//hhbtmzB1atXUatWLbHjqIz7JtNn3DcZE4eG+mbVJ0zOnTsHHx8fbNmyBX379q1qAMZEtWrVKnzwwQe4dOkS3NzcxI6jklmzZmHx4sVIS0uDra2t2HEYq5Ju3bohJycH8fHxYkdRiVwuR+vWrdGyZUts3LhR7DiMVcndu3fRpEkTzJ07FxMnThQ7jkq4b7KagPsmY+LQQN+s+oTJoEGDkJqaisTERL7oHdNb+fn5aNmyJbp06YJly5aJHadS2dnZaNiwIaZMmYIZM2aIHYexKjt+/Dg6dOiA6OhodOnSRew4ldq2bRsGDhyIc+fOoWXLlmLHYazKpkyZgt9//x3Xrl3Ti2uZcN9kNQH3TcbEoYG++UuVjmu8du0aIiMjMW3aNN54Mb1mbGyMSZMmYe3atbh7967YcSq1cuVKyOVyfPjhh2JHYaxa2rdvj06dOmHBggViR1HJggUL0Lt3b54sYXpv4sSJePToEX7//Xexo1SK+yarKbhvMiYOTfTNKk2YfP/996hbty769etX5YEZ0xXDhw+HlZWVzs/4FxQUYPHixRg1ahRsbGzEjsNYtU2ePBlRUVE4c+aM2FEqFB8fj4SEBEyePFnsKIxVW7169fD2229j/vz5kMvlYsepEPdNVpNw32RMHNXtm2pPmDx58gS//PILJk2axLd1YzWCubk5PvjgAyxZsgTPnj0TO065tmzZgoyMDHz00UdiR2FMI3r06AFPT0/88MMPYkep0IIFC9C2bVsEBQWJHYUxjZg8eTJSU1MRFRUldpRycd9kNQ33TcbEUd2+qfaEycqVKyGTyTBq1KgqDciYLvrwww/x7Nkz/PHHH2JHKdf333+Pfv366c3FwhirjEQiwcSJE7F+/XqdPUQ5LS0Nf/31F6ZOnSp2FMY0xsvLC926dcPChQvFjlIu7pusJuK+yZjwqts31ZowISKsWLECw4YNQ+3atdUejDFdVadOHQwaNAjLly8XO0qZEhMTcfLkSZ7tZzXOO++8AwsLC6xdu1bsKGVauXIlnJ2dERERIXYUxjTqo48+wsGDB/HPP/+IHaUU7puspuK+yZg4qtM31ZowUWxYR44cqfZAjOm60aNHIzExEYmJiWJHKWXlypVo0aIFnxLAahwzMzMMGTIEK1euRBVv2qY1BQUF+PXXXzFy5EjIZDKx4zCmUeHh4XBxccHq1avFjlIK901Wk3HfZEx41embak2YrFy5EgEBAfDx8VFrEMb0QXBwMDw8PLBq1SqxoxTz7NkzrF+/HmPHjuW7BLAaacyYMUhLS0NsbKzYUYr566+/cPfuXf7SxmokqVSKNCB5YAAAIABJREFU4cOHY82aNcjPzxc7TjHcN1lNxn2TMXFUtW+qPGGSmZmJP//8E2PGjFE3G2N6Y+TIkVi/fj2eP38udhSlTZs24eXLlxgyZIjYURjTCi8vL7Rv317nyuPKlSvRrVs3NGrUSOwojGnF6NGj8fDhQ+zatUvsKErcN5kh4L7JmPCq2jdVnjDZsGEDTExMMHDgQLXDMaYv3n33XTx//hx//vmn2FGU1q1bh4iICDg6OoodhTGtGT16NCIjI5GdnS12FADAnTt3EB0dzRecZDWai4sLwsLCsG7dOrGjKHHfZIaA+yZj4qhK31R5wmTTpk3o3bs3LCwsqhSOMX3g6OiILl26YNOmTWJHAfDqS1tcXBwGDx4sdhTGtKp///6Qy+X466+/xI4C4NVtFc3NzdGjRw+xozCmVYMHD0ZUVBSysrLEjgKA+yYzDNw3GRNHVfqmShMmt2/fxtGjRzFgwIAqh2NMXwwaNAhRUVF4/Pix2FGwefNmWFhYoFu3bmJHYUyrbGxs8Prrr+tMedy8eTN69+6NWrVqiR2FMa3q06cPAGDHjh0iJ+G+yQwL903GhFeVvqnShMmmTZtgaWmJrl27VjkcY/oiIiICUqlUJ/Z0b968GX369IGZmZnYURjTuoEDB2Lv3r149OiRqDlu3bqFhIQEPiWAGQQbGxt07dpVJyYruW8yQ8J9kzFxqNs3VZow2bp1K69EzGDUrl0br7/+OjZv3ixqDsWXNt7TxgxF7969daI8btu2DVZWVvyljRmMgQMHYv/+/aLv6ea+yQwJ903GxKFu36x0wuTBgwc4duwYIiIiqh2OMX3Rt29fHDx4UNSrl//9998wNzfnL23MYFhbWyMsLEz0O3bs3LkTPXr0gKmpqag5GBNKr169IJfLsXfvXtEycN9khoj7JmPCU7dvVjphsm/fPshkMnTq1Kna4RjTF+Hh4cjNzVX7Pt2atGfPHnTu3Jm/tDGDEh4ejujoaOTn54sy/rNnzxAXF4fu3buLMj5jYrC2tkZAQICoEybcN5kh4r7JmDjU6ZuVTpjs2bMHwcHBsLa21kg4xvRB3bp14ePjg6ioKFHGz8vLw8GDB/lLGzM44eHhyM7OxrFjx0QZ/8CBA8jPz+c9bczghIeHIyoqCkQkyvjcN5kh4r7JmDjU6ZsVTpjI5XJER0fzSsQMkqI8iiEuLg5Pnz7lq5Uzg9OsWTM0bdpUtHVvz549aNOmDZycnEQZnzGxdO/eHXfv3kVycrLgY3PfZIaM+yZjwlOnb1Y4YZKYmIj79+8jPDxcY+EY0xfh4eG4cuUK0tLSBB973759aNGiBdzc3AQfmzGxhYeHi3ZqwL59+/hLGzNIvr6+qFu3Lvbt2yf42Nw3mSHjvsmYOFTtmxVOmBw5cgQODg7w8vLSWDDG9EWHDh1gZmaGuLg4wcc+cuQIQkNDBR+XMV0QEhKC5ORkZGdnCzru7du3kZaWxuseM0gSiQQdO3bEkSNHBB+b+yYzZNw3GROHqn2zwgmTo0ePIjAwEBKJRKPhGNMHpqam8Pf3R3x8vKDj5ubmIjExEYGBgYKOy5iuCA4ORmFhIY4fPy7ouPHx8ZDJZGjXrp2g4zKmK4KCgnD06FHI5XJBx+W+yQwZ903GxKFq36xwwiQhIYFXImbQgoKCBJ/xP3XqFF6+fImgoCBBx2VMV9StWxdubm6Cl8f4+Hj4+PjA0tJS0HEZ0xXBwcF4/PgxLl68KOi43DeZoeO+yZjwVO2b5U6YpKenIyMjg1ciZtCCgoJw8eJFPHr0SLAx4+Pj4eTkxOeTMoMWHBwsyoQJb/OYIfPx8YGVlZWg6x73Tca4bzImFlX6ZrkTJidOnICxsTH8/Pw0HowxfREQEAAiwokTJwQb88SJE7ynjRm8gIAAnDhxQrBbnObm5uLMmTPo0KGDIOMxpotkMhnatm0r6G29uW8yxn2TMbGo0jfLnTA5c+YMWrRogVq1amklHGP6wMHBAQ0aNMCZM2cEG/PMmTPw9fUVbDzGdJGvry+ys7ORnp4uyHgXLlxAfn4+WrduLch4jOkqX19fnD17VrDxuG8yxn2TMbGo0jfLnTA5e/YsWrVqpZVgjOmTVq1aISUlRZCxnj17hrS0NF73mMHz9vaGVCoVbN07e/YsTE1N0axZM0HGY0xXeXt74/z58ygsLBRkPO6bjL3CfZMx4anSNyucMPH29tZKMMb0ibe3t2AbsJSUFMjlct6AMYNnYWGBxo0bC7anOyUlBZ6enjAyMhJkPMZ0VatWrfDy5UtcuXJFkPG4bzL2CvdNxoSnSt8sc8Lk8ePHuHnzJm/AGMOrDdjFixeRl5en9bHOnj0LS0tLNG7cWOtjMabrhCyPvJebsVc8PDwgk8kEmazkvsnYv7hvMiaOyvpmmRMmitvJeXp6aicVY3rE09MT+fn5uHr1qtbHunjxIjw8PCCVVnjHb8YMgqenJy5cuCDIWIp1jzFDZ2ZmhiZNmghya2Hum4z9i/smY+KorG+WuZakp6fD2NgYDRo00FowxvRFkyZNAECQi0+mp6fz7d0Y+x83Nzdcu3ZN6+Pk5ubi9u3bvO4x9j+urq6CrHvcNxn7F/dNxsRRWd8sd8KkYcOGkMlk2srFmN6wsrKCnZ2dIOXx2rVrfHgkY//j6uqKZ8+e4cGDB1od5/r165DL5XB1ddXqOIzpC1dXV8G+tHHfZOwV7puMiaOyvlnmhMn169e5ODJWhFDlkTdgjP1LsS5oe91TlFNe9xh7pXHjxoJs87hvMlYc903GhFdZ3yz3CBNeiRj7lxDl8fHjx8jKyuJ1j7H/adiwIYyMjASZMFHs2WOMvfrSlpGRofWLT3LfZKw47puMCa+yvlnmhMmtW7fg4uKi1WCM6ZNGjRrh5s2bWh3j1q1bAF6ttIwxwMjICM7OzoKse7zeMfavRo0aobCwEHfu3NHqONw3GSuO+yZjwqusb5Y5YfLw4UM4OjpqNRhj+sTBwQGZmZlaHUNx3hyve4z9y9HRUevr3sOHD1GnTh2tjsGYPnFwcADwat3QJu6bjBXHfZMxcVTUN0tNmMjlcjx+/Fi5sdRViYmJiIuLU/nxKSkpiI2N1V4gHaKr7426uXSJg4OD1otjZmYmpFIpbG1ttTpOdcjlcsTGxuLcuXMqP+fIkSNITk7WYirdoKvvTVVy6RJ7e3tBvrTZ29trdYzqSktLQ2xsLHJyclR6/M2bNxEbG4snT55oOZn4dPW9UTeXLlF0QG1+ceO+qf909b3hvlkx7pv6TVffmxrdN6mEhw8fEgA6cOBAyV/plPbt25O1tbXKj3/jjTeojMVVSXJyMsXGxlbpuWIQ8r1Rh7q5dMm2bdtIIpFQXl6e1sb4+eefyd7eXmuvrwkvXrwgANS7d2+Vn2NhYUEhISFVGi82NpaSk5Or9FyhCf3eqKoquXTJ4MGDKSIiQqtjdO7cmcaNG6fVMapr2rRpBICSkpJUevz8+fMJAMXExKg91rVr1ygmJoaePHmi9nPFIOR7o81cukQul5OxsTGtX79ea2Nw3yyN+6ZmcN+sGPfN0rhvVl8N7purSx1hophZ0fUZf3V5e3sjJCSkSs+dPHkywsLCNJyI6RMHBwcQER49eqS1MfRhL3dVvPbaa/D19a3Sc8PCwjB58mQNJ2L6xN7eXuuHJ2dmZta4dc/FxQUhISGwsbFR+7m//fYbOnXqhJSUFC0kY/pAIpHAzs5Oq3u6uW+Wxn2Tcd+sOu6brDoq6ptGJX+QlZUFALC2ttZuKoF9/fXXYkdgekzxpePJkydwcnLSyhjZ2dlV+nKj6/bs2SN2BKbHbG1ttX7qRFZWVo1b9wYNGoRBgwaJHYPpMW2ve9w3GSuN+2bVcd9k1VHRNq/UhElubi4AwMzMTLupNOyff/7Bw4cP0aRJkzIvYpSSkoLMzEyEhoYW+3lhYSFu3LiB+/fvo27dunBxcYFU+u+BN4cOHcLjx49BRMXOu2zcuLHKt+MqKCjAxYsXkZOTgwYNGpR5RfjExEQ8f/4cwcHBKi2POlJTU/Ho0SM0b95c7dtmqpK9qOvXr+P27duoW7cuGjduDIlEUukYubm5OHbsGAAgMDAQxsbGamUUgqmpKQBo9RaLL1++1Lv1rqCgABcuXEBubi68vLxQq1atUo85cuQIrKysSs36v3jxAtevX0d2djYaN25c7KKbWVlZSEpKAhHh8ePHxdY9X19flTf0OTk5uHz5MgoLC9GsWbNS5+vK5XIcPnwYDg4O8PLyUml5VJWXl4cLFy6gsLAQXl5eyr8hVVWWveRyXL58GVlZWXBzc1P5Aqb37t3DxYsXYWlpCX9/f7XyCcXExES5XdKWly9fqv3/R2z37t1Deno6nJyc4OrqWur3N2/exNWrV8tcX27fvo2MjAxYWVnBzc0NJiYmyt+dOXNGeVu9pKQkFBQUAHhV4tXZc3f16lXcu3cPdnZ2cHd3L7UtSEtLw40bN+Dv7w9LS8tKl0cdt2/fxo0bN1CvXr0q3QWisuxFZWZmIi0tDebm5mjWrFmx97Iix48fx4sXL+Dl5aWzR1iYmppqdZvHfZP7prrZi+K+WXXcN7lvqpO95HIYZN8seZJOdHQ0AaBHjx5p8zShalOcn3j9+nUKCAggAASApFIpffTRR1RYWFjs8WWdN7l27VpycXFRPhcA1a1blxYtWqR8jEwmK/Z7xb9Zs2aplHP+/PlkY2NT7Ll+fn506tSpai2PKu/N5cuXycfHR/laRkZGNH78eMrPz6/0vVEnOxHR1q1bqXnz5sUe26hRI9q4cWOpXEXdv3+fAgMDydTUlH777TeVl1Fo6enpBIBOnjyptTHee+896tKli9ZeXxOKnp948OBBatCggfL/t5WVFa1du7bUc0qeN5mfn09TpkwhKyurYn8vPj4+tHfvXiIiOnLkSJnrHVS87sDTp09p5MiRZGxsXGxd6tu3L92/f79ay6PKe/PXX39RnTp1lK9lbW1Nq1atqvS9USc7EVFBQQHNnTuX7Ozsir1HgYGBdPr06VK5ijp58iQ5OztT/fr1KTExUeXlFNq8efOocePGWh3Dzs6Oli1bptUxqktxPYyEhAQaMWIESaVS5f/v0NBQevjwYbHHl3WdjmPHjlHbtm2L/a2YmZnR+PHj6enTp0REFBYWVuZ6p+q5z7t376amTZsWe269evXo999/r9byqPLeHD58mPr3708SiUT5WmFhYXTnzp1K3xt1shMRnTlzhkJDQ4uNZWlpSTNmzCC5XF4sV9FrmOTn59P7779PAOijjz6igoIClZdTaG3btqUpU6Zo7fW5b3LfVDc7EfdNTeC+yX1TnexEBt83V5f61Pr7778JAOXk5Gg/WTW0b9+eLCwsyNPTk8zMzMjHx4c8PDyU/wNXrlxZ7PElP6TPnj2rLDr169engIAAatKkCclksmIXQurcubPyQzwkJET5b82aNZVmnDVrljJPgwYNyM/PjywtLZXF6uLFi1VeHlXem2bNmpGZmRn5+vpSkyZNlMv7wQcfVPjeqJt9xYoVxVbUNm3akJubG0mlUgoKCiqWq+gG7Pz58+Tq6koODg505MgRlZdPDBkZGQSA4uLitDbGiBEjqEePHlp7fU1QfBh6enqShYUF2draUtu2bZUf/EZGRnThwoVizyn5Ib1kyRLl34u7uzsFBASQs7MzAaB+/foR0av1MyQkhACQjY1NsXWvsgsoyuVy6tSpEwEgmUxG7u7u5O3trdwgeHl50fPnz6u8PJW9Ny1btiRTU1OysbEhf39/qlu3rnJ5N23aVOF7o052IqK3335b+drOzs7Url07cnJyIgA0Y8aMYrmKbsC2bt1K5ubm5OfnRxkZGSotn1gWLVpEzs7OWh3D0tKSfvnlF62OUV2KL9/t2rUjqVRKzZs3pzZt2pCpqSkBoHfeeafY40tOCuTn5yvXM2tra2rbti15e3uTmZkZAaCUlBQiIpo0aRI1btyYAJCvr69yvfv4448rzXjgwAHlxIdiXVL8PQKgX3/9tcrLo8p707p1a+VrtWrVikxMTJTLUfQCimVNmKiTPSkpiSwsLAh4NeHk4eFB3t7eyvEUXxJLTpg8efKEunbtSjKZjJYsWaLy8oklODiYJkyYoLXX577JfVPd7Nw3NYP7JvdN7pulVdA3S0+YbN++nQBo9erMmtC+fXsCXu09unfvnvLnkZGRyo1NUSU/pH///XcCQLNnzy72uPv379PcuXOL/SwsLIxkMpla+R48eECmpqYkk8mK/dE+ffqU3nrrLQJA/fv3r/LyVETxWgEBAcX2rMXGxpKlpSVJpVJKT09X/rzke6NO9idPnihnbr/77rtifzfXrl2jH3/8sVguxQZs7969ZG1tTS1btqSrV6+qvGxiEeJq/m+//Tb16dNHa6+vCYoPQwA0efJkys3NJaJXH7wTJ04koPTesJIf0qNHjyYApe4EkJKSUqqoyWQyCgsLUyvjzp07lcWr6BXP09LSqFWrVgRA+WWlKstTnqKvNW7cOHr58qXytRYuXEgAqEmTJsWeU/K9USf7wYMHlV/udu/eXex14+PjKTIyslguxQbs66+/JolEQhEREfTs2TOVlk1MP//8M9nZ2Wl1DGNj4zKPItAlii/fJf82rl69SnZ2dmRiYqL8+yUqPSlw69YtAkBdu3Yt9riXL1/SkiVL6Nq1a8qfzZkzhwCo/cXCz8+PANCkSZOU2wK5XE4LFixQlqySkwmqLo8q742jo2OxvbLp6enk7e1dasKjrAkTdbJ37NhROalT9EiYp0+f0pw5c5R76ItOmKSlpZGHhwfVrl2boqKi1HlbRdO5c2d67733tPb63De5b3LfLI375ivcN8vHfVM7KuibpSdMtmzZQgDUOiRPDIoP6aIlT8HNzY0aNGhQ7GclP6QvXLhAMpmMpk2bVmkpK28DlpqaSjExMcX+3bp1i4j+fR/HjBlT6nk5OTlkY2NDVlZWVVqeisYt+lpnzpwp9VqKmfyih2uVfG/Uya7YwA4ZMqTUY0tSbMCWLl1KRkZG9Prrr+vNbSufPHlCALRadAcOHKic8dZVig9DNzc35WHnCjdu3Cjzb6Hkh7RiD9GOHTsqHa+8DdiJEydKrQOKvZQffvghAaA//vij1PPi4uIIAPXs2bNKy1PRuIrXcnJyKvMzRbEH459//in3vVEn+4QJE0qty2VR5OrevTsNHz6cANDUqVNLLa+uWrVqFdWuXVurY0il0mKHc+sixZfvsg7bHTlyZKm/rZKTAoWFhdSgQQPq3LlzpadAlDdhcv/+/VJ//+fOnSOiV198FHvxyuoPXbp0IQDKQ+zVWZ6Kxi36Wj/88EOp14qJiSm1Hpd8b9TJnpmZSRKJhNzc3Cr9oq/ItWTJEnJ0dKTGjRsXy63runXrRiNHjtTa63PfLI37ZvnZuW9qDvfN0rhvlp+d+yatLnXRV8UFkAoKClS+eJlYLC0t0ahRo1I/d3R0xNWrVyt8bsuWLbF582bMmDEDS5cuhZ+fH3x8fNCtWzeEh4cXuxBXeX744QcsXbq02M9+/PFHjB8/Hrdv3wYAtGvXrtTzLCws4OHhgaNHj+Lp06ewsrJSa3kqGlfBxMQEXl5epV5LcaGdjIyMcpdLnew3b94E8OpWXqp4+vQpPvzwQzg4OGDz5s16c3X8/Px8ANDqOmFsbKz1i1tqioeHR6kLrCkuFvfy5csKnztq1CjcvXsXo0ePhkwmQ5s2beDn54c+ffqgTZs2Ko0/YsQInD9/vtjPUlJS4OXlVeHfb9u2bSGRSJSPUXd5KhpXwcvLq8y/E39/fxw6dAgZGRlo0qRJmculTnZ11719+/ahsLAQYWFh+Pbbb1V6ji7Iy8vT+oX5jIyMlOu4rivrc12VdU8qlWL37t34+OOP4ezsDC8vL7Rq1QohISHo168fLC0tKx370KFDGDBgQLGf9evXD1u3blX+Xfr7+5e5/WzXrh3279+P27dvw8/PT63lqWjcosr6/FBnm6dKdmNjYxAR2rdvr/Lf5ccff4zCwkJs27YNnp6eKj1HF+Tl5Wl9mwdw3+S+yX2zKO6bxXHfLD2uAvdNzaqob5aaMFG88dreUGqCTCYr93dEVOnz+/bti759++LGjRtITk7GiRMnMHLkSLi5ueHAgQOVXrG4WbNmCAkJKfaz+vXrA/j3qu/l3Udd8fOiVzJWdXkqGlchLy8Pz549U24cS45b0bKpk93c3BzAq3u6q8LKygoLFy7E2LFj0a1bN+zevVsv7gWv2LBo804apqam5b7nuqY6655UKsVnn32GmTNn4vz58zh79iwOHz6MgIAAvP/++1i0aFGl47dt27bUnSUsLCwAVPz3q7gDQcmrw6u6PBWNq1DeLcmqu+6VzF503WvevHm5r6nQvXt3ODk5YfXq1Rg7diyWLVumUlEXW25urtbvYKPtu4FoUnXWPW9vbxw8eBCPHj1CUlISkpKS8P3332PatGk4dOgQ3N3dK3y+o6NjqW2PYgJA1e1GVda9isYtqqx1T5PbPDMzM7W3eQCwbNky/Oc//0G/fv0QFRWlclEXW15enlbXPe6b3De5b5bGfbM47pulx1XgvqlZFfbNksecHDhwgABQZmamFg520ZyyroBd9HdFL6RFVPowwMzMzDIPEfrtt99Kne8cHh5OEolErfNsjx07RgDIw8Oj1OFShw8fJolEQi1btqzy8lREcYhkycOT5XI5hYaGljrUr+R7o072pKQkAkCurq6UlZVVKkvRQyCLLmNkZCSZmpqSh4dHscM7dVVaWlqxw8m1Ydy4cWqfPym08q6AXfR3JQ/zLHkYYHl3vxg1ahQBoBs3bih/ZmZmVuxCbqr45ptvCACNHj261O8Upxq8//77VV6e8igeL5PJSl0F/MGDB2Rvb0/GxsbKu5EQlX5v1Mn+/fffV5hPse6VXMYpU6YQABowYIDK14gQ07fffkuurq5aHcPe3p5+/vlnrY5RXWXdcaXk7xQXbiUqfdpJTk4OvXjxotRzb968SQCKnXqh+DuMjo5WOV9+fj5ZWlqSmZkZXblypdjvHj16RHXq1CGJREJ3796t0vJURPH4iIiIUr9TnBYwffp05c/KuiCuqtkLCwuV11gpa3tQdDtYdBkvXrxILi4uVLt27VLn0+sqf39/mjp1qtZen/sm903um6Vx33yF+2b5uG9qRwV9s/QpOUVn/GuyFStW4JdffsHgwYPRsmVL2Nvb4/r161i4cCGA4svv7OwMIsLMmTPRpUsXGBsbo3HjxmjcuHG5r9+uXTv4+PjgzJkzCAgIwPjx41GnTh0kJiZi/vz5ICKMGzdOa8snk8kwZcoUpKWloVOnTsjJycGaNWsQGxsLV1dXhIWFaSS7r68vQkNDERsbi1atWmH8+PFo0aIFnjx5gtjYWKSlpeHgwYOlxoiIiMDff/+NPn36ICgoCNHR0WjWrJnW3o/qEmrGX18OkayOIUOG4Pnz53jzzTfRtGlTmJiY4OzZs8rD60uue6dOncLq1avh6uoKqVQKX19f2NjYVPj6s2fPxqpVq5CVlYV+/frBxMQEUVFRWLVqFaRSKcaMGaO15ZNKpejSpQumTZsGLy8v3LhxA9999x0yMzMxZMiQCk99UCf7u+++izlz5mDbtm0ICgrC8OHD0aBBA9y4cQORkZFo164d5syZU2qMefPmwd7eHtOnT8eTJ0+wffv2UnstdAkfYaIZKSkpeOONN/DOO++gdevWqF+/Ph49eoRff/0VQOn1DgAWLVqEvLw8mJubw8bGBr6+vuW+vpGREUaOHInFixcjODgYU6dORYsWLXD9+nUsWLAA9+/fR0REBJycnLS2jLt27cKbb76Jt99+G6ampoiKisLKlSthZGSE4cOHayz7hAkT8MUXXyA0NBQffPAB2rZtC5lMhlOnTmHZsmW4d+8ejIyK16sWLVogPj4er7/+OsLDw7Fp0ya8+eabWnsvNEHII0xqMu6b3DfVwX1Tc7hvct9Uh1pHmJw8eZIAUFpamjYncaqtujP+K1asUN72rOQ/Hx8fys7OVj52z549pR6jypWML1y4QPXq1StzjLfeeqvYhc40PeNvbW1NM2bMKDWulZUVHT16tML3Rt3sGRkZyisql/z3xhtvVLiMJ06cIHt7e6pTp06lt+8Sk2LPRmpqqtbGmDZtGvn7+2vt9TVBEzP+Q4YMKfNvBSX2chP9u4e26L+id7Yoz+bNm5W3+Cz6TyqVFruSvjZm/Hv27Km84FbRfy1atKAHDx5U+N6ok52I6NChQ2RnZ1fmezl//vwKl3HlypUklUqpQ4cOOr2Hd8aMGeTr66vVMdzc3Ojbb7/V6hjVVd0jTFJSUpS3EC75z9bWtthV8u/du6e8G4Xinyp3zsjJyaHg4OAyx/Dy8ip2Rw5tHGHy5ZdfKm+JWPRfyfWmrLvkqJM9Pz9feQePkv9q165NBQUF5S7j/fv3yc/Pj4yMjGjdunUqLZ9YmjdvXuouLprEfZP7prrZuW9qBvdN7pvqZCcy+L5Z+ggTOzs7AK/OaXJ1dS35a53Rpk2bUud2Ff1dyb1Y3t7eyMnJUf73mDFj0LlzZ2zYsAHnz59HVlYWnJ2d0aVLF+Usm0J4eDh27dqFjRs34s6dOygoKKhwtl+hZcuWOH/+PFatWoWjR48iJycHDRo0QEREBHr16lWt5amI4rXmzp0LX19fbN26FU+ePIGHhwcmTJhQKnvJ90bd7PXq1cPJkyexceNGREdH4/79+6hXrx5CQkIwZMiQCpexbdu2OHLkCD7++GN88cUXWLZsGerWravysgolMzMTALR6/qutra3On1MqlUoREhJS5gXeFL8reW2B1157rdi1EX777TeMGzcOO3bsQGpqKogIDRs2RP/+/UudKz137ly4uLjg4MGDePz4MeRyeYWz/QoDBgxA69atsWrVKpxgUdIJAAAgAElEQVQ7dw6FhYVwd3fH8OHDi+0lr8rylEfxeB8fH3z22WdYunQpDh06BLlcjqCgIIwfP77UbH/J90ad7ADQsWNHpKamYs2aNUhISMDz58/h5uaGvn37KvfqlbeMo0ePho2NDZYsWYLPP/8cixYtKrVXXBdkZmYqt0vaog/rnpubG0JCQsrcY6T4XdE9Ny4uLggJCVGuL4oL1G3YsAGnTp3C7du34eDgAD8/PwwbNqzYe1ynTh3Ex8dj2bJl+Oeff5Cbm1vh0SUKFhYWiImJwcaNGxEVFYV79+7Bzs4OnTt3xrBhw4qdy63u8qjy3gwcOBBdu3bFihUrcP36ddSvXx8jR45EcHBwsceXfG/UzW5kZIQNGzZg1KhR2LZtG9LT02FtbY02bdpg7NixynPUy1pGR0dHxMTEYNy4cVi7di2aNm2KwMBAlZZTaJmZmVrd5nHf5L6pbnbum5qhD9s87pvl476pHRX1TQlR8SvmZGVlwcbGBnv37kXXrl0FCciYrtu8eTMGDx6M/Px8rV24aNWqVZg8eTKysrK08vqM6aMBAwZAIpFg8+bNWhujW7ducHFxwapVq7Q2BmP6RC6Xw9jYGBs3bix1hyJN4b7JWGncNxkTRwV985dSa2Lt2rVhYmKi1hXgGavpHj58CDs7O61e5dne3h7Z2dk1/nxuxtSRmZlZ7t5QTXFwcFDu1WOMvTrqQy6Xa3UvN/dNxkrjvsmYOCrqm6XWRolEAltbW96AMVbEw4cPtX47OsVKyl/cGPuXEOuevb09b/MYK0KxPmhzspL7JmOlcd9kTBwVrXtlTl86OjriwYMHWg3FmD4RcgPG6x5j/xJq3eP1jrF/KSYxtL3ucd9krDjum4yJQ+0JExcXF9y4cUOroRjTJ9evX0ejRo20OkbDhg0BgNc9xv7n5cuXuHv3rtbXPcU2r8QlvRgzWNeuXYOxsbHWL4rJfZOx4rhvMia8yvpmmRMmjRs3xrVr17SZizG9kp6ervWr+FtYWMDBwQHp6elaHYcxfXH9+nUQkdbXPVdXV7x48QL37t3T6jiM6Ytr166hUaNGyjv+aAv3TcaK477JmPAq65vlTpjwSsTYv65duybIbQ9dXV25PDL2P4rtkCq31awOxevzusfYK0J8aQO4bzJWEvdNxoRXWd8sc8LE1dUVGRkZfPVkxvDqnLanT59q/UsbwHvbGCsqPT0dtra2sLGx0eo4DRo0gLGxMX9xY+x/hJow4b7J2L+4bzImjsr6ZpkTJm5ubpDL5bwiMQbg6tWrACBIeXRzc8M///yj9XEY0wdXr14VZL0zMjKCi4uLcl1nzNClpaUJts3jvsnYK9w3GRNHZX2zzAkTDw8PyGQypKSkaC0YY/oiJSUFFhYWgmzAPD09cenSJd7bxhherXteXl6CjOXl5YVz584JMhZjuiwrKws3btwQZN3jvsnYv7hvMiaOyvpmmRMmtWrVQpMmTXgDxhj+XYmk0jJXF41q1aoV8vLykJqaqvWxGNN1KSkp8Pb2FmSsVq1a4ezZs4KMxZguS0lJAREJsu5x32TsX9w3GRNHZX2z3DWSyyNjr5w9e1awL20tW7aEiYkJl0dm8B4+fIg7d+6gVatWgozn7e2N1NRUvHjxQpDxGNNVKSkpsLa2Vt56VNu4bzL2CvdNxoSnSt8sd8LE29ubVyLGAJw/f16wDZiJiQnc3d153WMGT7EOCHmESWFhIS5evCjIeIzpKsWeNolEIsh43DcZe4X7JmPCU6Vvljth4uPjg7S0NGRlZWk+GWN64ubNm3jw4AF8fHwEG9PHxweJiYmCjceYLkpOToajoyOcnZ0FGa9Zs2YwNzdHUlKSIOMxpquSk5MFO7IL4L7JGMB9kzGxqNI3y50wCQoKAhHh2LFjWgnHmD6Ij4+HsbEx2rZtK9iYAQEBSEhIQGFhoWBjMqZr4uLiEBQUJNh4MpkM7dq1w9GjRwUbkzFd8+LFC5w+fRqBgYGCjcl9kzHum4yJRZW+We6EiYODA5o2bYr4+HiNB2NMX8THx6N169YwNzcXbMygoCBkZ2fjwoULgo3JmK5JSEgQdMIEeLXu8TaPGbKTJ08iLy8PwcHBgo3JfZMx7puMiUWVvlnhZZi5PDJDFxcXJ2hxBF6dQ2dtbc3rHjNY//zzD+7cuSP4hElgYCBSU1Px4MEDQcdlTFfEx8ejfv36aNSokaDjct9kho77JmPCU7VvVjhhEhgYiOPHj6OgoECj4RjTB9nZ2UhJSRH8S5tUKkW7du14A8YMVlxcHExNTdGmTRtBxw0MDIREIkFCQoKg4zKmK+Lj4wX/0gZw32SGjfsmY+JQtW9WOGHSsWNHPHv2DCdOnNBoOMb0wZEjRyCXywXfgAGv1r3Y2FgQkeBjMya22NhYdOjQAaampoKOa2NjAy8vL8TExAg6LmO6ID8/H3FxcXjttdcEH5v7JjNk3DcZE4eqfbPCCRN3d3e4ubkhKipKo+EY0wd79uxB69at4eTkJPjY3bp1w61bt3Du3DnBx2ZMTESEffv2ITw8XJTxw8PDsWfPHlHGZkxMCQkJyMrKQrdu3QQfm/smM2TcNxkTnjp98//Zu8+wKM72beDXbAOWLqCoGEHFgggYQbE3LFixYNfYNT6GqOSRGDVojI8kRsVYIioqdsGKvcVYsHcUu2JvCKJ02D3fD747fzeAtN2dXbh/x8EXhJlrcGfmnGvuueeLDRMiovbt27PwyJRJBw4cIF9fX0HW3aBBAypfvjzb95gy58qVK/Ty5UtBGyZ37tyhBw8eCLJ+hhHKgQMHyNnZmWrUqCHI+lneZMoqljcZRveKkjcLbJj4+vrS5cuX6fXr1xopjmEMwb179+jBgweC3Gkj+vRcKQuPTFl04MABsre3J3d3d0HW36xZM7K0tKSDBw8Ksn6GEcr+/fsFa1QSsbzJlE0sbzKMMIqSNwtsmLRp04akUikLj0yZsn//frK0tKTGjRsLVoOvry/FxMRQcnKyYDUwjK6pLto4jhNk/VKplNq0aUP79u0TZP0MI4SXL1/StWvXBLtoI2J5kymbWN5kGGEUJW8W2DAxMzOjNm3a0LZt2zRSHMMYgm3btlGnTp1IIpEIVoOvry9xHEe7d+8WrAaG0aWXL1/S6dOnqVu3boLW0a1bNzpy5AgLj0yZsX37djI1NaU2bdoIVgPLm0xZxPImw+heUfNmgQ0TIqI+ffrQwYMHWXhkyoSXL1/SqVOnqF+/foLWYW1tTT4+PhQZGSloHQyjK1FRUWRqairoYwFERH5+fkREtGvXLkHrYBhd2bx5M3Xv3p1MTEwErYPlTaYsYXmTYYRR1LxZqIYJC49MWbJlyxYyMzOj9u3bC10KHx6TkpKELoVhtG7Lli3k5+cn+EWblZUVtWvXjqKiogStg2F04cWLF3T69Gnq27ev0KWwvMmUKSxvMowwipo3C9UwUYVH1nlkyoItW7ZQjx49yNjYWOhSqEePHiQSiSg6OlroUhhGq54+fUpnzpzRi4s2ov8Lj4mJiUKXwjBapbpoa9eundClsLzJlCksbzKM7hUnbxaqYUJE1LdvXzp8+DC9ffu2WMUxjCF4+PAhnTt3jvr06SN0KUREZGFhQe3bt6eNGzcKXQrDaNXmzZv5iyV90L17dxKLxWw+BabU27Rpk95ctBGxvMmUDSxvMowwipM3C90w6dWrF8nlclq7dm2ximMYQxAeHk4VKlTQi+GRKsOGDaPDhw/TgwcPhC6FYbRm9erVNHDgQJLJZEKXQkSfwmPPnj0pPDxc6FIYRmuuX79OFy5coGHDhgldCo/lTaYsYHmTYYRRnLxZ6IaJiYkJ9e/fn1asWEEAilUgw+iznJwcWrNmDY0YMULQ2cr/rUuXLlSxYkVas2aN0KUwjFYcP36cbt26RcOHDxe6FDWjRo2ic+fO0dWrV4UuhWG0YsWKFVSzZk1q0aKF0KXwWN5kSjuWNxlGGMXNm4VumBARjR07lu7cuUOnTp0q0koYxhDs27ePXr58qVd32oiIJBIJffPNNxQeHk45OTlCl8MwGrdy5Ury8vKi+vXrC12KmlatWlHt2rXZKBOmVEpPT6cNGzbQiBEjiOM4octRw/ImU5qxvMkwwihu3ixSw8TNzY08PT1p+fLlRVoJwxiCFStWUNu2bal69epCl5LLyJEj6fXr17R3716hS2EYjUpKSqJt27bRiBEjhC4lT8OHD6f169dTWlqa0KUwjEZt3bqVUlJS6JtvvhG6lFxY3mRKM5Y3GUb3SpI3i9QwISL69ttvKTIykl68eFHklTGMvrp37x7t27ePxo4dK3QpeapWrRq1b9+eFi5cKHQpDKNRy5cvJ5lMRgMGDBC6lDwNHTqUMjMzKSIiQuhSGEajFi5cSD169KAKFSoIXUqeWN5kSiOWNxlGGCXJm0VumAwcOJBsbGxo8eLFRV4Zw+ir+fPnU9WqVcnPz0/oUvIVGBhIx44do/PnzwtdCsNoRHZ2Ni1evJjGjBlD5ubmQpeTJzs7Oxo8eDD98ccfpFAohC6HYTTi77//pkuXLtGkSZOELiVfLG8ypRHLmwyjeyXNm0VumBgZGdG4ceNo2bJllJKSUuQVMoy+effuHa1bt44CAwNJLBYLXU6+fHx8qH79+qzrz5Qa69evp9evX9P48eOFLuWLAgMDKT4+nqKjo4UuhWE0Yt68edSyZUtq1KiR0KXki+VNprRheZNhhFHSvFnkhgkR0bhx4ygrK4tWrVpVrJUyjD5ZtGgRGRkZ0dChQ4UupUATJ06kyMhIevLkidClMEyJLVy4kPr3709VqlQRupQvqlmzJnXu3JnmzZsndCkMU2K3b9+mAwcOUGBgoNClFIjlTaY0YXmTYYRR0rxZrIZJuXLlaNiwYTRv3jzKzMws1ooZRh98/PiRlixZQuPGjSNTU1OhyylQv379yN7enubOnSt0KQxTItHR0XT9+nW9fiTgcz/88APFxMTQiRMnhC6FYUpk9uzZfBNQ37G8yZQWLG8yjDA0kTeL1TAhIpoyZQq9ffuWvW6RMWgLFy6krKwsmjhxotClFIpUKqUpU6bQ8uXLKT4+XuhyGKZYAFBwcDD5+fmRu7u70OUUSosWLah169Y0depUoUthmGK7e/cubd68mX7++WcSiYodAXWK5U2mNGB5k2F0T1N5kwOA4v7y999/T1FRUfTgwQMyMTEpdhEMI4Tk5GSqVq0afffddzRjxgyhyym07OxsqlWrFrVv356WLVsmdDkMU2Rbt26lPn360JUrVwymYUJEFBMTQ82aNaMjR45Q27ZthS6HYYqsb9++dPPmTbp+/brBNEyIWN5kDBvLmwwjDA3lzVUlOltOmTKFkpOTKSwsrCSLYRhBzJs3j5RKJX3//fdCl1IkUqmUpk6dSqtWraKHDx8KXQ7DFIlSqaRZs2ZRnz59DKpZQkTUtGlT6tChA02fPl3oUhimyG7cuEFbt26lmTNnGlSzhIjlTcawsbzJMLqnybxZohEmRET//e9/ad26dXT37l2ysLAoUTEMoytv3rwhZ2dnCgoKop9++knocoosJyeH6tSpQ02aNKGIiAihy2GYQlu3bh0NGzaMYmNjqU6dOkKXU2Tnz58nb29v2rVrF3Xt2lXochim0Lp160ZPnz6ly5cvE8dxQpdTZCxvMoaI5U2GEYYG8+aqEjdMkpKSyNnZmUaMGEG//fZbSRbFMDozatQo2r9/P925c8cgJt/KS1RUFPXt25fOnj1LDRs2FLochilQWloa1alThzp27GjQd4r79OlDly9fpps3b5KRkZHQ5TBMgY4ePUo+Pj504MAB6tChg9DlFAvLm4whYnmTYXRPw3mz5A0Tok+vyfrhhx/oxo0b5OzsXNLFMYxWXb16lTw9PSkiIoIGDhwodDkl0qpVK8rMzKTTp08b5B1DpmyZNm0aLVq0iO7cuUP29vZCl1NsT58+pdq1a9OsWbMM5i0/TNmlUCiofv36VK1aNdq5c6fQ5ZQIy5uMIWF5k2GEoeG8qZmGiepkXL16ddqxY0dJF8cwWtWqVSvKysqimJgYgz/ol6aTMVO6lbYmw/Tp0+nPP/80+OYPU/otXryYAgMDKTY2lmrWrCl0OSXC8iZjSFjeZBjd00Le1EzDhIjo0KFD1KFDBzp48CC1b99eE4tkGI3bsmULDRgwgM6cOVNqhhWOGjWKDhw4QHFxcWRubi50OQyTp969e1NsbCzFxsaSTCYTupwSS01NpVq1apGvry+tWLFC6HIYJk8JCQlUu3ZtGj58OP3+++9Cl6MRLG8yhoDlTYYRhhbypuYaJkREvXr1oqtXr1JsbCzJ5XJNLZZhNCIpKYlcXFyoS5cupeoC582bN+Ti4kL9+/enRYsWCV0Ow+QSHR1N3bt3L3UXOFu2bKH+/fvTsWPHqGXLlkKXwzC5DB48mP755x+6efNmqZooleVNRp+xvMkwwtBS3tRsw+TVq1fk4uJCI0aMoLlz52pqsQyjESNGjKB9+/ZRXFwcWVtbC12ORq1du5aGDRtGJ06coKZNmwpdDsPwPnz4QHXr1qU2bdqUyhn2/fz8KC4ujq5du0YmJiZCl8MwvAMHDpCvry/t3LmTunfvLnQ5GsXyJqPPWN5kGN3TYt7UbMOEiGjFihX07bff0tmzZ8nT01OTi2aYYjt+/Di1bt2aoqKiqFevXkKXoxUdO3akx48f09WrV9mbOxi9MW7cOIqKiqK4uDiys7MTuhyNe/HiBdWtW5fGjRtHs2fPFrochiGiT28IqFevHnl5edHmzZuFLkcrWN5k9BHLmwwjDC3mTc03TABQ27ZtKTExkc6fP18qnlVnDFtqaip5eHiQq6trqZ4kLj4+nlxdXSkwMJBmzpwpdDkMQydOnKDWrVvT2rVrS/UkcUuXLqUJEybQuXPnqH79+kKXwzD0/fff0/r16+nmzZuldlJiljcZfcPyJsMIQ8t5U/MNEyKiBw8eUP369WnMmDFsqCQjuFGjRtGOHTvo+vXrVKlSJaHL0aolS5bQhAkT6MSJE9S4cWOhy2HKsPfv35OHhwe5u7vTrl27hC5Hq5RKJfn4+NCrV6/o4sWLbE4FRlAHDx4kX19fWrt2LQ0aNEjocrSK5U1Gn7C8yTC6p4O8qZ2GCRHR6tWraeTIkXTo0CFq27atNlbBMAXasWMH9ezZkyIjI8nf31/ocrQOAHXr1o1u3rxJV69eLVWT/DGGZcCAAXT06FG6fv06VahQQehytO758+fk5uZG/fr1oyVLlghdDlNGJSQkkJubGzVt2pSioqKELkcnWN5k9AHLmyxvMsLQQd7UXsOEiKh///508uRJunbtGtnY2GhrNQyTp+fPn5O7uzv16tWLwsLChC5HZ96+fUtubm7UoUMHWrNmjdDlMGXQ2rVraejQobRnzx7q1KmT0OXozPbt26l37960c+dO6tatm9DlMGVQ9+7d6fLly3T9+vVSN9nkl7C8yQiJ5U2WNxlh6ChvardhkpSURG5ubvT111/Tzp07ieM4ba2KYdTk5ORQu3bt6OXLl3Tp0iUyNTUVuiSd2rt3L3Xt2rVMDMlm9Mvdu3fJy8uLhg8fTgsWLBC6HJ0bNmwY7d27ly5fvkwODg5Cl8OUIYsWLaKJEyfSsWPHqHnz5kKXo1MsbzJCYXmT5U1GGDrMm9ptmBARnTp1itq0aUMzZsygn376SZurYhje5MmTafHixXT69Gny8PAQuhxBBAYG0rJly+j06dPk7u4udDlMGZCSkkLe3t4kl8vp5MmTZXL2/JSUFGrUqBGZm5vT8ePHy+TfgNG906dPU6tWrejnn3+madOmCV2OIFjeZITA8ibLm4zu6Thvar9hQkT0559/0sSJE2nPnj3k6+ur7dUxZdzOnTupZ8+etGrVKho6dKjQ5QhGddcjPj6eLl68yIYpM1rXr18/OnLkCF28eJEcHR2FLkcwd+/epYYNG1K/fv1o2bJlQpfDlHKvX7+mBg0a8KMrRCKR0CUJhuVNRpdY3vyE5U1G13ScN3XTMCEiGjp0KO3evZsuXLhA1apV08UqmTLozp071LBhQxoyZAgtWrRI6HIE9+bNG2rQoAHVqVOH9u/fT2KxWOiSmFJq/vz59N///pf2799P7du3F7ocwUVHR5Ofnx+tWLGCRowYIXQ5TCmVk5NDbdu2pZcvX9L58+fJyspK6JIEx/Imowssb6pjeZPRFQHypu4aJqmpqdSkSRMiIjp58iSbTZnRuISEBGrSpAnZ2dnRsWPHSCaTCV2SXjhz5gy1atWKJkyYQL/99pvQ5TCl0IEDB6hr1640e/Zsmjx5stDl6I0pU6ZQaGgoHT58mJo1ayZ0OUwpNGbMGNqwYQOdPXuWXF1dhS5HL7C8yWgby5t5Y3mT0TaB8qbuGiZERPHx8dS4cWNyd3enPXv2kEQi0dWqmVIuIyODfHx86Pnz53T27Nky8RrToti8eTMNGDCAFi9eTOPGjRO6HKYUuXnzJjVt2pQ6depEGzZsYJMtfkapVFLv3r3pxIkTdPr0aapZs6bQJTGlSEhICE2dOpW2bdtGfn5+QpejV1jeZLSF5c0vY3mT0RYB8+YqnT7o6ujoSHv27KFTp07R2LFjdblqphQDQCNHjqTY2FiKjo5mJ6889OvXj37++WcKCAig3bt3C10OU0q8ePGCfH19yd3dnVavXs2aJf8iEolow4YN5OzsTL6+vvTmzRuhS2JKiaioKJo6dSotWLCANUvywPImow0sbxaM5U1GG4TOmzodYaISHR1NPXv2pFmzZtGUKVN0vXqmlAkKCqLQ0FA6cOAAtW7dWuhy9BYAGjZsGG3fvp2OHz9O9evXF7okxoB9+PCBWrZsSVlZWRQTE8PmTviC169fU+PGjalSpUp06NAhksvlQpfEGLBTp05Ru3btaMyYMRQaGip0OXqN5U1Gk1jeLByWNxlN0oO8qdsRJirdunWjhQsX0tSpU2np0qVClMCUEiEhIfTHH39Qnz59yNLSUuhy9BrHcbR8+XLy9vamDh060K1bt4QuiTFQaWlp1LlzZ3rz5g3t3buXNUsKUKFCBdq7dy/dvn2bevbsSVlZWUKXxBioS5cuUZcuXahTp040f/58ocvReyxvMpqiypvh4eGsWVKArKwsateuHdWsWZPlTaZE9CZvQkDz588Hx3FYsWKFkGUwBmrx4sUgIsybNw979uwBEaFevXpYsmQJkpKShC5Pb6WmpqJFixaoXLky7t+/L3Q5jIHJzMyEr68vbG1tcePGDaHLMShXrlyBlZUV/Pz8kJ2dLXQ5jIG5ffs2KlSogNatWyM9PV3ocgwKy5tMSXyeN5n8xcbG4vvvv4elpSWqVq2KhIQEljeZYtOjvBkuaMMEAH766SeIxWJs2rRJ6FIYAxIREQGRSIQ5c+bw32vfvj2ICCKRCDKZDAMHDsQ///wDpVIpYKX6KTk5GZ6enqhSpQri4+OFLocxEDk5OfD394elpSUuXrwodDkG49mzZ/jtt9/g6emJqKgomJmZoXfv3sjJyRG6NMZA3L9/H5UqVUKTJk0wa9YsdO/eHdu2bUNGRobQpRmMH3/8keVNpsjyypvM//nw4QOWL1+OBg0agIjAcRyICJGRkQBY3mSKR8/ypvANEwAICAiAVCrFli1bhC6FMQCrVq2CWCxGt27d8ObNG/779+7dg0QiARGBiCCTyUBEqFq1KoKDg/H48WMBq9Y/b9++Rd26dVGjRg12EmMKlJmZiV69esHU1BTz5s1DmzZtMHv2bDx69Ejo0vRSSkoK1q5di9atW/MBcsaMGQCAw4cPw9jYGIMHD2YjTZgC3blzB1WqVIGXlxeSk5ORkZGBGjVqgIhgYWGBb7/9FqdPnxa6TL2kUChw9OhRjBgxAsOHD8eIESNY3mQKTZU3p02bJnQpeufixYsYNWoUTExMIBKJIBKJQESQSqXw9vZWu1l55MgRVK1aleVNplA+z5sxMTFClwPoS8NEqVRi0qRJEIvFCA8PF7ocRo8tXboUIpEIkydPxh9//AGxWIzWrVtj5cqVePfuHQIDA9WaJqoviUQCjuPQunVrREZGIisrS+hN0QuvX7+Gh4cHqlSpgjt37ghdDqOnUlNT0bFjR5iZmWHZsmW4ceMG35AkInh5eWHRokV4/fq10KUKSqFQ4PDhwxg8eDAfIsViMTiOQ9WqVZGeno4nT55gwYIFCAwMhJmZGbp27coer2DydfPmTVSqVAlff/01xowZg507dyI9PR2HDx/m9z+pVMrfHJg5cyYePnwodNmCO3/+PCZOnAg7Ozv+b9SwYUOkpKRgyJAhLG8yBVLlzaCgIKFL0RuJiYkICwtDnTp11I49n3+JRCJcvXoV165dw9SpU/HVV1/B3Nwcly9fZnmTKdDnefPo0aNCl6OiHw0TlZCQEHAchwULFghdCqOHQkJCQERo1KgROnbsiGHDhqF69er8AVosFqNNmzYwNzfn7+jm1zixsbFBUFAQ7t27J/RmCS4pKQmNGzdGhQoVcO3aNaHLYfRMSkoK2rZtCwsLC3h5eaFx48awt7dHzZo1c4UkkUgEHx8fRERE4MOHD0KXrjNxcXEIDg5G5cqV+ePMv489I0eOhKenJziOg729PRITE3Hy5ElYWFjA19cXaWlpQm8Go2cuXrwIW1tbtGzZEh8+fMD69etBRDAxMUHfvn3RpEmTXBcsqs+eu7s7QkND8fbtW6E3Q2du376N4OBgODo6goggFovV/jbe3t6Qy+Xo0qULvL29Wd5k8qXKmzNnzhS6FMGpbgT06tULEomEz9H5ZWxPT09+BJzq5wYMGIAWLVrA398f1apVY3mTyZMqb1pbW+Ps2bNCl/M5/WqYAMCcOXPAcRx++eUXoUth9IRCocAPP/wAkUiEkJAQyOXyPA/UqoCU34H8319SqRQcxyE0NFToTRTchw8f0OonZ4cAACAASURBVLJlS9jY2OjL8DdGD7x69QpeXl6wt7fH9evX4eXlVeB+pWqcSKVS+Pr6IiIiAqmpqUJvisa9e/cOYWFh/N8krzttnwdG1fGGiLB9+3Z+OefPn0e5cuXQsmVLJCYmCrhFjD45dOgQzM3N0blzZ7Vmmq+vr1rzP7/9kOM4iMViSCQS+Pr6ltqRlc+ePUNoaCi8vLzAcVyezcq8/jYREREsbzK5fJ43lyxZInQ5gsvOzubPcYXZt/79c3kdo5o1a8byJpPL53kzNjZW6HL+Tf8aJgDw119/QSKRYPjw4aXyBM8UXnp6Ovz9/WFkZIT169cDAObOnVuog3ZhDuqNGjVik+b9f6mpqejevTuMjY35ybqYsisuLg5OTk6oUaMGPxLr8ePH+TYGvjSiSy6XY9CgQYiOjjb4OTvi4+PRsWNH/mK0sA1aVdOkd+/euZYZGxuLKlWqoE6dOuxxCgYrV66EVCrFoEGDkJmZqfZvz58/h7m5eZHPdUQEa2vrUjEXQ1JSEiIiItChQ4di7YetWrXil8XyJqOSV95kgHPnzsHIyKhI+1h+X2KxGElJSSxvMmryypt6Rj8bJgBw8OBBWFhYoG3btuwVsWXUu3fv0Lx5c1hbW+PYsWNq/1a7du0SH7QdHBzK/JwL/6ZUKhEcHAyO4xAcHCx0OYxATp06BVtbW3h7e+faR5YtW1asfU7VaLGzszPoCReVSiW6d+/OT3BX2C+O42BpaYlXr17ludwXL16gQYMGsLGxwalTp3S8VYw+UB1/iQgBAQH5vuFt+fLlxbp44TgOO3bs0PFWaY5CocDgwYMhkUggFouLvA8SEYyNjXPtgyxvMl/Kmwywbds2jTRM1q1bxy+T5U0G+HLe1CP62zABgMuXL6NSpUpwdXVl7+8uY27cuIEaNWrAyckJt27dyvXviYmJuZ5PLmpoun37tgBbZhhCQ0MhFosxatQoNgKnjAkPD4dMJkOfPn3ynYzU29u7WPudSCSCk5OTwV+UpKWlwdXVtUgBkuM4tbCYl48fP6J9+/aQy+UG3VRiii4lJQX9+vWDVCrFX3/99cWfVSqVaNGiRZFGe3Ech1mzZuloa7QnOjq6RBdu+b1SmOXNsqugvMl8MmfOnBI1S7y9vfNcLsubZVdh8qae0O+GCQA8efIEDRo0gLW1Nfbs2SN0OYwObN68GWZmZmjWrNkXu43h4eHFPnDb29vj5s2bOtwqw7Nr1y5YWFjA29sbT58+FbocRssyMjIwevRocByHqVOn5nt3G/j0WMDnb8kpyte8efN0uFXaEx8f/8X5lD7/kkql6NChwxeXl5SUhKCgICxduhQBAQHgOA6BgYEG/wgTU7B79+7Bzc0Ntra2OHr0KDp37oyIiIgv7oMPHjyAsbFxofe7jh07fnF5hkKpVOaacLqwX+3bt//islneLHsKmzcZYNGiRcVuVkql0i/OZcbyZtlSlLypJ/S/YQJ8+sOOHDkSHMchKCgICoVC6JIYLcjOzkZQUBA4jsPo0aNzPbudlwYNGhT5wD1t2jS0bNkS5ubm2L17tw62zHDdvXsXrq6usLW1xeHDh4Uuh9GSZ8+ewdvbG+bm5ti6dWuhfmfVqlVF3veaNWtWqo7fgYGBhdpuuVyOJ0+e5LmMnJwcLFu2DFZWVjAyMsK7d+8AABs3boSpqSlatGiBly9f6nKzGB3au3cvrK2tUb9+fX7+mkWLFvF3ZC9fvpzv74aGhhbqAkYqleLSpUu62iSte/DgAYyMjIp07JHL5UhISChw2Sxvlg3FyZtlVU5ODt/Enz59OipVqlTkc39hsjbLm2VDcfKmHjCMhonKsmXLYGRkBF9fX9YJLmWePHmCFi1awNTUFBs2bCj076WkpBR65m4igo+PD4BPoWjIkCEQi8VYuHChtjarVPj48SP8/f0hkUgwZ84cFiBLmX379sHOzg5169bFnTt3ivS7rVu3LvS+Z2JiUmruHKWnp2PEiBHgOA4dOnT44naLRCIsX748z+UcP34cdevW5edi6Nu3r9q/X716FdWrV4eDgwOOHz+ui01jdCQrKwtTpkwBx3EYMWKE2nDkxMRE/q1KHMdh1KhRePPmTa5lKBQKeHt7f/EcaGxsjAYNGsDMzAybN2/W5SZqlaqpVNivok4syfJm6VXcvFkWffjwAZ07d4axsTH/t0pKSirSI/EFjez6HMubpVtJ8qbADKthAnyarVn1Du+9e/cKXQ6jAZGRkbC2toaLiwuuX79e5N/fuXNnoQ7aIpEIHh4eanOXhIaGQiQSYfTo0WyG/C9QKpVYsGABjIyM0KpVq3zvljOGIz09Hd999x04jsOQIUPw8ePHIi/jzZs3hXosQC6Xo3r16rCzs8OhQ4e0sDW68/jxY3h5ecHCwgI7duxATk4O3Nzc8r2z36xZs1zDTZ89e4aBAwfmeg3qkSNHcq0vMTERPXr0gFgsxk8//cSOU6XA3bt34eXlBVNTU4SHh+f5M/379+fnKJFKpTAzM0NISEiuO+G3b9/+4lwmS5cu5e+mE5HBn+tycnIQHBwMkUiEtm3bFurc37Vr12Kti+XN0qekebMsefDgAVxcXFCxYkWcP3+e//7KlSthYmJSqH3PyMioyKN3WN4sfTSRNwVmeA0T4FPHU/Xs0+jRo7/4XByjv1T/j0SEwYMHIyUlpdjLatOmTYEHbnd3dzRo0AAmJiYIDQ3lf3fr1q2Qy+Vo166dwU9GqW03btyAm5sbLC0t2Wv3DNjNmzfh7u4OCwuLAiciLUhkZGShQtOuXbvQp08fiMViBAcHG+SdI9XjEx4eHnjw4AHi4+PRvHlzGBsbo0KFCnlu9+evyEtLS0NISAhMTExyzQHj4ODwxb9JREQEzMzM4OnpaWh3ZpjPfP7/+KWJx48ePZpn09/JySnXxfvs2bPzfGNMvXr1IBaLERQUhKysLGzYsAGmpqZo3rw5Xrx4oe1N1bjXr1/Dx8cHxsbGmD9/PkaOHFngscfU1BSJiYnFXifLm6WDJvNmWRATE4Py5cvD3d0djx8/BgAkJydjwIAB4DgOvr6+hWqalOSNQyxvlg6azJsCMsyGicrmzZthZWWF2rVr48SJE0KXwxTBwYMH4eTkhPLly2tkHpGsrKwCn2nmOA4mJibo0qULRCIRevfuzTdIrly5gipVqsDZ2ZldjBQgLS0N//nPf8BxHPr27Zvva1IZ/ZOVlYVZs2bByMgIzZs3R3x8vEaW+6U7varHCogIY8eOxZIlSyCTydCmTRuD+ewolUqEhIRAJBJh0KBBSE1NVbtTeeXKFSQkJMDKyoq/cBWJRJg/fz6/jOjoaDg4OOQ5lFkqlRbqDSZ37tyBp6cnTE1NMX/+fOTk5GhzsxkNevLkCX/uUTUwvkSpVKJq1aq5Piuqz0/r1q0RFxcH4NN8DK6urvxoJZFIhAEDBgD41KAxNTVFw4YNcffuXdy6dQt16tRBpUqVDOr11ceOHUPFihXh7OyMvXv3ol69eoW6wx0dHa2R9bO8abg0nTdLu02bNsHY2Bg9e/bkG0sXLlxAjRo1YGdnh/bt2xdq3+vdu3eJa2F503BpK28KxLAbJsCnENK5c2dwHIexY8fi/fv3QpfEfMHbt28xePBgEBH8/f01evA7ceJEngftqVOnwtzcXO0C7uuvv0aFChXg6OiI06dPA/j05g9PT0/Y2Njgn3/+0VhdpdWmTZtQtWpVlCtXDqtXrzaEWa7LtDNnzsDV1RVyuRx//PGHRi+2ExISct1t4jgOK1euxIwZM/gmAsdxqF27NjZu3AgnJyc4ODjo/UXbu3fv0LFjRxgZGSE0NBTJyckYNGhQnnec3759i0aNGoGI0KBBA+Tk5ODWrVt8QymvUQCqv4vqLl5BsrKyMHPmTBgZGcHLywtXr17V1qYzGqBQKLBo0SKYm5ujVq1aRbrY/vXXX/Odn0QqlUIsFiMgIADJycm4cuUK30wJDQ1V27/j4uJQv359mJubIywsDMnJyejZsyckEglCQkK0sdkao2pWisVi9OjRA3/99ZfazRHVm4VcXV1z/Y169eql0VpY3jQsn+fNzp07s8mzC6BUKhEcHAwiQkBAABQKBZRKJUJDQyGTyVC/fn3Y2tqqncc8PT3x1Vdf5dr3zMzMNJoxDhw4AEdHR5Y3DYQ286ZADL9horJp0yaUL18elStXNqRZd8sMpVKJtWvXws7ODg4ODpgxY4ZW1uPn56d20FZNNpWdnY2+ffuqXaCYm5vD3d0dMpkMc+fOhUKhQEpKCnr06AGZTIY1a9ZopcbS4O+//0ajRo2QkpKCCRMmQCwWw8fHh43O0UPv37/Hd999B5FIhHbt2uHBgwdaWU9UVFS+Q3Fv3LjB3y3nOA5SqRQ///wzOnXqBKlUipCQEL18ROfy5cuoVq0aHBwccObMGZw5cwbVq1dH+fLl833t6LNnz+Dg4ICYmBiMHTsWIpHoi3NMiMXiIk2KpxIXF4emTZtCKpViypQpbIi5Hrp27RoaN24MqVSKqVOnqk3sWhjPnj3Lt8mm+pJIJLCzs8PatWsxdepUDBo0KM9lZWVl8XN/9OrVCwkJCXwjon///nr5+Xn+/Dnatm0LIyMjhISEoFu3bmpvBerTpw9f98ePH9XO8RYWFvjw4YNW6mJ5U7/9O2/u2rULR44cQdu2bVnTJB+fZ9/Vq1cD+LT/tWvXDjKZDC1btlTb96RSKT8JbGJiYq7GrjYa+a9fv0bfvn1Z3tRjusqbAig9DRPg013Ob775BhzHoU2bNrh27ZrQJTH4NHGat7c3RCIRxo0bh+TkZPTu3Rvjxo1DRkaGRteVk5MDuVwOIkKlSpVyTTZ15swZmJmZqR3Y69evD6lUilatWiE+Pj7PLjvzSU5ODqZPnw6O4zBs2DD+++fOnYObmxtkMhkCAwPZnTc9kJOTg7CwMNjZ2cHW1hZr1qzR+l2ZTp06wcrKChEREbn+LSsrC2PGjOH3O9WkjT/99BNkMhl8fHz0al6FtWvXQi6Xo2XLloiPj8cPP/wAsViMrl275vnGks+9e/cOkyZNKtSwZY7jsG3btmLVqFAosGTJElhaWsLBwQHr1q1jd970wNu3bzF27FiIxWI0atSoRFnE19e3wDfBcRwHuVyOkydPFjjHxqFDh1CxYkVUqVIF+/fvx7Fjx1ChQgXUrl2bf8RHH+zevRt2dnZwdnbG77//jnLlyvEjaIyNjfH333/n+h2FQoFvvvkGIpEIBw8e1Gp9LG/qp7zyJvBp0kkjIyOUL1+ePVL1L5+Prlbd6NiyZQtsbGzg4OAAe3t7tWaJp6dnrmbkuXPn+P1z9OjRGq/x1q1bcHFxwd69e1ne1ENC5E0dK10NE5ULFy6gSZMmEIlEGDx4MHvmTSAvXrzA6NGjIRKJ0KhRI5w9e5b/tz///JNvVhR2KHphXbx4Ea6urvnurDk5OXmONnF0dISFhQXCwsIAABs3buSf42QTvX06qTZr1ow/cf57Ei6FQoGIiAiUL18e5cqVyzUsnNGdf/75Bx4eHpBIJBg9ejTevn2rk/UmJibi0aNHX/yZI0eO8CMuRCIRTExMMHnyZDg7O8PW1lbwZ8wzMjIQEBAAjuMQEBCAkydPonbt2rCwsMDy5cuLFAJCQ0PV5nDJ68va2rrEby1JSEhAQEAAxGIxPD099f4xp9IqOzsbYWFhsLW1RcWKFREWFlbihvv27du/+PmRSCSwtbXFxYsXC73MhIQE9OvXDxzHYfjw4YiLi0OjRo1gbm4u+IiJjIwMBAUF8fOMde3aVW17nZ2dC3zDwpUrV3RULcub+uJLeVOlZcuW/Hln9uzZ7GYYPr26/vP5+96/f89PjluzZk21Y49MJsOuXbvyXdatW7dQq1YtjV8ob9myBXK5HCKRiG+AsbypP4TKmzpWOhsmwKcheZGRkfjqq69gZmaGoKAg9gYUHUlISEBwcDAsLCzg4OCAiIiIXAfQq1ev8icuS0tLrd8NysuFCxdgbW2tFsa++uoriEQidOrUCS9evMDx48dha2uLBg0a4Pnz5zqvUV8cPXoUNjY2ao8WPHv2LM+fTUpKQlBQEIyMjFCnTh1ERESwE5mOXL9+Hf7+/uA4Dj4+PoiNjRW6pDw9f/5c7a4Vx3GoX78++vTpwzcqND36rDCePn3KXzhu2rQJQUFB/CMzxW3sbt26FUZGRvlO9vrf//5XY/XHxcWhQ4cO4DgOXbp0weXLlzW2bCZ/CoUCkZGRqFmzJmQyGT+viCZkZ2fD1tY232ZJ7dq1i/3Z3LNnDypVqoSKFSsiKiqKbxQGBQUJcsy+ffs2P9fKd999B3Nzc7VHklQT2eobljeFU5i8qTJ79my1Zn2LFi3K9CM6UVFRkMvl6NChA96/f48jR46gSpUqsLKygoWFhVqzxMfHR+fn5KysLEyYMIGvo169erl+huVN4RhK3tSQ0tswUfn48SNmzZoFa2trWFtb49dffzXE9z8bhKSkJEybNg3m5uaws7PDH3/8gbS0tDx/VqFQ8BOxikQiPqQJ0fFXvf3i84sYGxsblC9fHjt37sT9+/dRp04dVK5cWe1d9GVBTk4OgoODwXGc2t+oRo0aBf7u7du30a9fP4hEIri7u2PXrl2lbYie3rh27Rr8/PzAcRwaNmwoSAOyqBITE+Hh4cFP4MhxHCQSCXr37g0rKyvUrVtXpyfggwcPwtbWFq6uroiMjORHlYSFhZX4c7ts2TJ++/590auNxyB27NgBNzc3iEQi9O/f/4uvr2WKT6FQYNOmTahduzYkEgmGDRtW4Air4pg8eXKueXA4joOFhUWJRzQkJSXxd5T9/f2xcOFCGBsbo127djq9U6h63bK7uztatGih9ugex3H44YcfdFZLcbG8qTtFyZsqZ8+ezdWwLleuHA4dOqSjqvWDUqnEL7/8Ao7jMH78eHz8+JEf1VWpUqVcIyDPnTun8xqfP38Ob29v/kaDTCbDpEmT8v15ljd1xxDzpgaU/oaJSlJSEn7++WdYWFjA1tYWM2bMKPA5dKZwXrx4gR9//BFWVlYoV64c/ve//xUqJHTq1EntIlwkEqFDhw549+6dDqpWl5KSglatWqmdKCwtLUFEGDlyJJ4/f46uXbvCyMgoz/kZSqNXr16hVatWue6MS6VSfPfdd4VeTmxsLHr27Mm/nWjTpk3Izs7WYuVlR0xMDHr06AGRSIT69etr7BWauvL+/Xs0btwYVlZWsLKy4i8EHR0d4eLiAlNTU/4ROW3Jzs7G1KlTIRKJ0LdvX0yaNKnEo0o+9+DBA9jZ2cHHxwcuLi5qdzgbNmyogS3Im0KhwJYtW1CnTh1+Ys9Lly5pbX1lSWZmJlavXo26detCJBJh4MCBuHv3rtbWd+fOHbW7vRzHoV+/frCzs0Pnzp01ckd1z549qFy5Muzt7TFv3jw4OjqicuXKOH78uAa2IH8JCQnw9/fnz//Gxsb8tjo4OICICvXKbX3C8qb2FDdvAp9uAP17DjuxWAyRSITg4OAyMTIhPT0dgwYNgkQiwcKFC3Hu3DnUqVMHcrkcMplMLY9Pnz5dkBpVI7s/bxJzHIcdO3YU+Lssb2qPoefNEio7DROVhIQETJs2DTY2NjAxMcGYMWPYTMvFFBsbi2HDhkEmk8He3h6//vprkYYhz507N9ddM6lUCnt7+zyfP9WF8+fP8xdun0+mV7lyZURHRyMoKKhMTAZ75MiRXI/gfP432blzZ5GXefnyZfj7+0MsFqNq1aqYP3++1t5iUJopFAps27YNTZo0ARGhUaNG2LZtm8HeTUlJSUHbtm1hZWXF37VQBTYvLy+IxWKtvRLy6dOnaN68OYyNjTF+/HiNjioBPk3+WqtWLXz99ddISUlBUlISWrduzYf0VatWaWArviwnJwfr16+Hh4cHiAitW7fG3r17DfbzIqSkpCTMmTMHFStWhEwmw+DBg3Hz5k2drNvb25sf6bdo0SIAwMmTJ2FkZKSxx7o+H23SsWNHdO3aFWKxWGsXk/v27UPFihVRoUIFODk58fu+lZUVhgwZAo7jsGDBAo2vV1dUebNcuXIsb5ZQSfOmSpcuXfJ8PFIkEqF58+Z6NfG4pj179gxeXl4oV64c9u3bh8DAQIjF4lxNpDZt2hQ4WkcbVK8wFovFuf6POI4r0og3ljc1o7TlzRIoew0TldTUVCxZsgQ1atTg56zYvn17iSffK+0yMjKwefNm+Pj4gOM4uLi4YOXKlcV6tvHcuXN5PpctFoshlUoRGhqqhS0onJkzZ6qNflENpff398eyZctgYmICX1/fUjc7d3Z2Nn7++edcj+D8O1gkJiYWex0PHz5EQEAAzMzMYGlpifHjx2vlFXSlzYsXLzBnzhxUr14dIpEI3bt3x+LFixESEiJ0aSWWmpqK9u3bw8rKChs2bECtWrX4z5tcLoe9vT2srKxyTTRcEocPH0aFChVQvXp1dOzYEUSEnj174unTpxpZflZWFtq0aYPKlSurLTMrKwsjR46Eqampzl/levjwYX6Ok9q1a2PevHmldYI2jTp//jxGjx7NH7MmT56c7xxO2rJmzRqYmprmep315s2bwXEcli5dqrF1RUdHo2rVqrCyskL//v1hZGSE1q1ba2wer7S0NH6+FEdHR7Um6ejRozFlyhRwHIfFixdrZH1CSklJwZAhQ1jeLAZN5k2VhQsX5vvWKdUjOqXxEYMzZ87A3t4eNWvWxPr16+Hs7AypVKo2cs3W1laweSg+fPjAj17I6/+mVq1axVouy5vFk1fePHnypNBlCansNkxUFAoFtm/fjg4dOkAkEsHe3h4//vijVofXGqKbN29i0qRJsLW15V+tWdK7lNnZ2TAxMcnz4KjqKA8YMECwN9SkpqbyF1KfN04sLCwQFBQEe3t7uLq64uHDh4LUp2lPnz5Ve2Y0vy8PDw+NrC8xMRG///47atasCSKCl5cXli9frrHJEkuDnJwc7NmzB35+fpBIJChXrhy+//57/i7lvXv3wHEcf8fZkGVmZsLPzw+mpqY4evQoduzYoTbZpbW1NTiOg7+/f4ke28vOzkZwcDBEIhGaNm0Ka2trODg4aPTtIEqlEkOGDIG5uXm+4ez06dMaW19RXb9+HWPHjoWFhQWMjIzQt29fHD58uFSPmiuqxMRELFq0CO7u7iAiuLq6YuHChYLdpUxNTc331bU///wzJBKJRudiSEtLQ3BwMGQyGWrVqgUHBwfY2dlh//79JVru2bNnUbNmzVyPAHh5eeH+/fuYMGECxGIx1qxZo6EtEU5KSgoaN26M5s2bA2B5s7C0kTdVYmNjv5hvPp9Tr7Q8orNx40aYmJigXbt2GDt2bK4bYlKpVNAMERcXhxo1auQ5ollV33/+858SrYPlzYIVlDfLONYw+dyzZ88QEhICR0dHEBFcXFwQHByM+/fvC12aIOLj4xEaGoqmTZvyzxMHBQUhPj5eY+to27Ztga9MdHFxwb179zS2zqJ69+4dGjVqlKuZ07x5c7i5ucHGxgZHjx4VrD5NuHPnDmxsbL74f0H0aeKtH3/8UePrv3jxIkaPHg1TU1MYGxujS5cuiIiIKJNDKBUKBU6ePImAgADY29uDiNCgQQOEhYXlah6mpqbyn8clS5YIVLHmZGVloXfv3pDL5Th06BAUCgU/CaXqM2hiYgIHB4di7XOPHz9G06ZNYWRkhKpVq0IqlSIgIEDjEzP+8ssvEIvFev+Mb3p6OiIjI/k7uLa2thg9ejROnjxZFofcIjU1FdHR0fD394eRkRGMjY3h7++Pw4cPC13aFymVSgwePBgWFha4fv26Rpd9584dtG3bFiKRCDVq1ODfYlXU0RGfNyo/v1FStWpVnD17FkqlEuPHj4dUKkVUVJRGt0EIaWlp/OS1/fr1y/XvLG+q00XeBD7tKzY2Nl/MOaovPz8/gz4O5uTk8I+Rd+vWDeXLl881b2BgYKCg27hu3ToYGxvnO+pHlW+2bNmisXWyvPl/ipI3yzjWMMlLTk4ODh48iOHDh/N3NZs0aYK5c+fixo0bQpenNUqlEleuXMGcOXPg6ekJIoKdnR3Gjh2LY8eOaeXu4+zZs9XuMuV3sLS0tBT8Lszjx49RvXp1tdqMjIzg6ekJiUSCP//8U9D6Smrr1q0oV65cgf8f2pxRPjExEStXrkS7du0gFoshl8vRp08frF+/vlRPmpeWlob9+/dj/Pjx/Cz1bm5umD17doEB2tTUlN9PwsPDdVSx9uTk5OCbb76BkZERP1dOamoqRo0axYc91V3A7777rtDNjq1bt8La2hrlypXjXympjfknIiMjDfJxglu3biE4OBi1a9cG0adXrE+aNAlHjhwR5BXPuvLy5UusXr0aPXr0gLGxMWQyGTp37mxwATozMxOtW7eGo6Njid+c829KpRLh4eGwsbGBlZUVjIyM0KhRo0Jf3F+5cgX16tVTuyiysLDAihUrAHza54cOHQqZTFaoiR31XXp6Otq0aQOpVAqxWIyJEyfm+7Msb+oub6r079+/wAv0li1barxZo0sfPnxAt27dIJPJ+PmrPt8+Pz8/wUfQ/Pbbb4VqXBGRVuaWYXmz6HmzDGMNk4JkZmZiz549GDJkCD88vEqVKhg1ahS2b9+OhIQEoUsskdevX2PLli0YNmwYKlasCCJChQoVMGLECBw6dEjrs0ufPHnyiwdJiUSCSpUqlXgYsCadPXtWbWJYIoK5uTn//LUhP5ecmJiIAQMG8CfVvIZG6moysDdv3uCvv/5C27ZtIZPJ+ElAp0+fjpiYGGRmZuqkDm1QKpW4efMmFi5ciI4dO/J3XN3d3TFjxgzcunWr0MuqVq2aWhBau3atFivXDaVSif/85z+QyWRqj8q8efMG7du3V9ve8uXLf3EEwIcPH/gJJI2NjWFra4vVq1dr5a7a+fPnIZfLv3iBZAiuXbuGn3760ZJZiAAAIABJREFUCXXq1AERwdTUFN26dcPSpUsNfnhueno6/vnnH/z444+oX78+/7no2LEjwsPDSzQ/k9ASEhLg7OwMT09PrdwdfPv2LYYPHw6RSAS5XA4zMzNs3Lgx35/PyMjgX1eqOp9IJBJMmzaNv1jLycnBoEGDIJfLS8XcEZmZmfD19eUvyGUyGebOnVvo32V5U/tWrlyZ56PHEokERkZGCAkJMejHE+/fv486derA3Nw813a2bt1abxrg6enpmDJlCj9vYX7XAY6OjlqvheVNpgCsYVIUCoUCZ8+exYwZM/i5HlQTUY0aNQpr1qzB3bt39XYIn0KhwK1btxAeHo6hQ4fyz/JJJBI0b94cs2fPxqVLl3Raf0ZGRp4jGlQBa9SoUXp7l2/btm2Qy+W56vb29jb47vSYMWPAcVyu17o1a9ZMkHo+fvyInTt3YuzYsfwQZhMTEzRv3hxTpkzBnj179HryyrS0NJw6dQohISHo2rUrPyTYysoK/v7+CA8PL/aEii1btsz1GdywYYOGt0D3lEolvv/+e4jF4lyv8r5y5QpcXFzUtrtFixa5LiguXLiAypUrQyKRQCwWIyAgAElJSVqp9+HDhyhfvjw6deok+J07TYqPj8cvv/wCPz8/mJub8xc5PXr0wLx583DmzBm9CeB5efXqFXbu3IkffvgBTZo04c83NWrUwDfffIOdO3eWqqHH9+/fh62tLXr37q21i76LFy+iWbNm/L7XqVOnXPtVTEyM2qMPYrEYw4cPV2u4Z2ZmokePHjA1NcWRI0e0UqsuZWVloUuXLmqjF4p7PGZ5U3vi4+PzHFUikUgEnVtKE44fPw5LS8tck6fWq1dPa+e+krp27Rrc3d3znPBVKpVi5MiROq2H5U0mD+EcABBTLElJSRQTE8N/XbhwgTIyMsjMzIxcXV2pXr165ObmRnXr1qVq1aqRg4MDicVirdeVk5NDT58+pYcPH1JsbCzduHGDrl+/Tjdv3qS0tDSSy+XUsGFDatasGTVp0oSaNm1KFhYWWq8rP82aNaPTp0+T6qMoFotJoVDQxIkTaf78+YLVVVjnzp2jrl270tu3b/nvGRsb0/nz56levXoCVlY8jx8/pnr16tE333xDjx8/pt27dxPHcSSVSmn69Ok0bdo0oUuk+/fvU0xMDJ06dYpiYmLo9u3bBIAqVarE73f16tWj2rVrk5OTE9na2uqkrtTUVHr06BHdvXtXbd978OABKRQKqlixIjVt2pSaNWtGTZs2JQ8PD5JIJCVa55AhQ2jjxo2kUCj474lEItqwYQP169evpJskuOnTp9OcOXNo+fLlNHz4cLV/u3XrFg0YMICuXr1KRJ+2e+bMmTR16lSaOnUq/fbbb6RUKsnHx4eWLVtG1atX10qNHz58oKZNm5JUKqUTJ06QmZmZVtYjhOTkZGrXrh2dP3+esrOz6eLFi3T69Gk6deoUnT59mt68eUMSiYScnZ35fc/V1ZWcnZ3JycmJTExMdFLnmzdv6NGjRxQXF8fvd7GxsfT69WsSiURUt25datq0Kb//OTo60p49e+jvv/82iPNMUZw4cYLat29PkyZNov/9739aW8/u3btpzJgx9OrVKzI3N6eoqChq3rw5dejQgU6ePElEn/bJ/v3708qVK8nY2Jj/3czMTOrTpw8dP36c9u3bR02aNNFanbqgUChowIABtG3bNrVjMRHRsWPHqFWrViVaPsubmvXVV1/R06dPSSKRkFgspl9//ZWWLVtGLi4uFB0dLXR5xTJnzhyaOnUqfX5ZV79+fTp+/DiZm5sLWFnBsrKyqFatWvT48WOSSCSUnZ1NRJ+uB1avXk2DBw8WrDaWNxkiWsUaJhqUlZVFV69epWvXrlFsbCzFxsbS9evXKTExkYiIpFIpValShZycnOirr74iW1tbKl++PNnY2JCNjQ1ZW1uTXC4nIiJzc3O1D3Z2djalpKQQ0aedJCkpid69e0cJCQn09u1bSkhIoMePH9OjR4/o2bNnlJOTQ0REtra25O7uTvXq1SNXV1fy8PAgNzc3kkqlOv7r5C84OJjmzJlDAEipVFJQUBBlZ2fT8uXL6caNG1SlShWhSyyUe/fuUbNmzejNmzf89zw9PenChQsCVlU0AKhjx4709OlTunz5MhkbG9P69etp3Lhx9PHjRzp9+jQ1btxY6DJzeffuHV26dInf927cuEE3b96krKwsIvq0Pzk6OpKTkxM5ODjw+5yNjQ3Z2tqStbU1SSQSEolEZGlpqbbstLQ0yszMJCLi9zvVV0JCAr1+/ZoePXpE8fHx/P+9SCSiatWq8SfSevXq0ddff01OTk4a3/agoCBauHAhXyMREcdxJBKJaPv27dStWzeNr1PXfvvtN5oyZQqFhoZSQEBArn+/e/cudenShe7du0dEn7YfAFWsWJE2btxY4ouVL8nOzqZOnTpRXFwcnT171mCOV4Wlugj8/PP1uXv37tGVK1fo+vXrfGCLj4/nQ7u9vT05OTmRo6MjlS9fnmxtbfn9rly5cmRlZUVEn5rM/26uvH//ngBQVlYWvX//nhISEtT2vWfPntGjR4/o0aNHlJaWRkREJiYm5OLiorbveXp68uv53IYNG2jw4MF08OBBateunSb/bIJbs2YNDRs2jJYtW0ZjxozR2nqys7Pp999/p5kzZ/IXOUSfjoFDhw6lsLCwXCE9NTWV/Pz86NKlS7R//35q1KiR1urTBYVCQYMHD6bIyMhczRIiojt37lDNmjU1uk6WN0tm9OjRtGLFCmrUqBGtW7eOnJ2d6dSpU9SyZUuKiIigQYMGCV1iob169YocHR35YzTHcdS9e3favn07cRwncHWFs2DBAvrxxx9p27ZtNHv2bDp//jwplUoiIoqPj6eqVasKXOH/Kct5swxjDRNdePXqFT18+JDi4+P5D/qzZ8/4E8+7d+/4k1NRmJubk42NDdnZ2ZGtrS1VqVKF30mdnJyoWrVqZGdnp4Ut0qyjR4+Sj48Pubq60rp168jDw4MyMzOpfv365OjoSPv27RO6xCJ59+4d1atXj16+fMl/r3bt2nThwgW9v/O8ZMkSmjBhAp0+fZq8vLz477948YICAwNp3bp1BtOhzsnJofj4eLX97v79+/T06VP6+PEjfxJSneQKSyQSqZ0A7ezs1PY71b6nCqPaFhoaSkFBQbm2g+M4EovFtGPHDurSpYtOatGm33//nX788Uf6448/aNKkSbn+PTk5mXr37k1Hjhzhv2dhYUHh4eHUu3dvrdU1duxY2rBhA508eZI8PDy0th4hbN26lfz9/YmIKD09XW2EwJekpKTQw4cP+f1O1dT4vOHx7t07Kmr8MDIyUtv3KleuzDdjVPveV199Veg760uWLKHx48eTnZ0d3bp1i2xsbIpUj76bOnUqzZ07l/bt20c+Pj5aWUd2djYNGTKEIiMj+QsciURCf/75J40dOzbXBVtycjJ16tSJ7t+/T4cPHyY3Nzet1KUrAGjkyJEUERGRZ7OE6NMINF3d4ddF3pTL5VSrVi2DzJsqO3fupAcPHtDEiRNJJBLx3w8ICKB169ZRbGwsOTg4CFhhwfbs2UP+/v6UkZHBf2/YsGG0atUqAasquvj4eKpXrx4FBgbSjBkzSKlU0tKlS2ny5MlkbW1Nz58/F7rEAuWVNx89ekQvXrxQO+cZet4sw1jDRF9kZmZScnIyfyL7+PEj37Un+nS3QHWxbW5uTpaWliSTyQSpVdPS0tJo0aJFFBgYqHYxfubMGWrWrBmtXbuWBg4cKGCFxZOdnU0VKlSgpKQk/nuWlpYUFRWll3czHz16RG5ubjRhwgSaNWuW0OVoxZ9//knlypVTu3v08eNHSk5OpqysLFIqlZScnKz2O3K5nIyMjPi7AdbW1rou+4siIyOpX79+eV58qpomu3btok6dOglQnWYtXbqUxo8fT5MnT6aQkBAi+nQHdM6cOTR37lzKysqiJk2a0KxZs8jf35+/22piYkKTJ0+m6dOna3SY+pw5c2jatGm0fft26t69u8aWqw+ePHlCdevWpdTUVAJAr169ogoVKmhs+QDo/fv3/CiSjIwMSk9PV/sZKysr4jiOjI2NycLCQuMN5zlz5lBwcDAREXXu3Jl27Nih0eULDQANHjyYdu/eTTExMeTq6qqxZT9//pwGDhxIJ06cIADEcRy1atWKAgICaNiwYfT+/XuqWrUqLV++nNq3b09En0YMdezYkR4/fkyHDx/WaD1CAEBjx46llStX8s2ifzMxMeFHP+mLkubNzp0705o1awyqQVJYaWlp5OHhQTVr1qQ9e/YIXU4uqgbdmjVr1D5z/fr1o02bNglYWfGoRjU/efKErl69SkZGRvy/PX78mA4ePEijR48WsELNMvS8WYatYpO+Mnpt3LhxsLGxwevXr4UupdiOHTuWa2JbkUiEgQMH6mxW+IIoFAq0bNkSLi4uSE9PF7ocrcjKykLlypUxatQooUvRqILeNCUSiSCTyfD3338LXapGLF++HCKRCD/88APCwsL4V3FaWFhg165daj976tQpWFtbq/0tfH19NfLa1a1bt0IkEmHhwoUlXpa+USgUaN68udqkz4b+dpy8TJ48GUZGRvykj6tXrxa6JI1LT09H48aN4eTkpJHz6NGjR3NNuNygQQMkJyfzP5OdnY2JEyfykzg2aNAAO3bsgLu7O7766ivcu3evxHUITalU4ttvv81zosrPv3Txhg9dyszMhImJCaZNmyZ0KVoTExMDsViMVatWCV0K7+XLl2jQoEGuz1etWrUM+s1eK1euhEgkQkxMjNClMMyXsLfkMPotJSUFTk5O6N+/v9CllMizZ8/g6ekJqVSa63W9NWrUEPy1XgsWLIBEIsGFCxcErUOb1qxZAyJCtWrVhC5Fox48ePDFwK66GDQ1NS0V/7+ZmZkYPnw43wAhIvTp0yfft2kplUqEhYXxF8aqLw8PD5w5c6ZYNVy4cAFyubzUNd9UQkJCcl0Inj9/XuiyNG7MmDFqbzQxNjbG3bt3hS5L496+fYsaNWrAy8urWG8EyszMxKJFi1C+fPlczYAvHVOuXbsGZ2dn/tWmJiYm2L59e0k2RW/897//LfC4S0Ro0qSJ0KVqVExMDIg+vWr8/fv3QpejNRMnToSlpSUeP34saB3h4eGwtLTM8y2SQUFBBv3645cvX8La2hqTJk0SuhSGKQhrmDD6b9++fSAi7NixQ+hSSiQjIwMjRowAx3GoWbNmrsaJmZkZ5s2bp/PX7D148ABmZmaYMWOGTterS0qlEs7OzuA4DhzHGfxrnz+XlpaWb1hXXajUrVsXmzZtMujX3aanp2PRokWoUqUKpFIp3wDp0KFDoULju3fv8O2334LjOLVmgI2NDRYsWICsrKxC1fHo0SNUqFABHTt21JsRYpp0+fJltSaC6uvQoUNCl6Zx/fr1UzsOSyQSeHh4FPqzYEji4uJgbW0Nf3//Qp9jXr16hTFjxqg1G8ViMUxNTREaGlqo/e7u3bv8KC8LCwsQETp27IhTp06VdJME9erVK/z0008wMzPLc39RXdga+s2ef/vtt98gkUggkUjw+++/C12O1mRkZMDFxQU+Pj46z2QJCQno0KFDrqa1TCaDo6MjzMzMEBUVpdOatKFnz55wdHTEx48fhS6FYQrCGiaMYRg8eDAqVqyot++RL4qwsDDIZDI0b94cjRo1ynM0gJeXF+Li4rRei2rofWm9SFDZuXOn2t+3tNzlVDE3N1f7DKkCfMOGDREdHa3zwKdJGRkZCAsLQ+XKlSGTyVCnTh0QEfz9/bFx40YYGxsX6fG2EydOoG7d/8fem8dFVb7//6/ZZ5hh33dBkM0FRFFZXAq31HI3NTQtLXNttcXCspI00/fH3hmmFmlWlC2k7yxxF7cQRVFBBVzY950BZub6/eHv3N8ZAQUERmiej8d5AMOZc+77rPf1uq/Fj4RCoY4hKBaLafbs2ZSVldXsd8vLy6lPnz7k5+fXLWdXa2trydvbu5EByOPxusUA/V5GjRrVpMj4/vvv67tpHcKRI0dILBbTu+++e9/1jh07RqGhoTpikkKhIB6PRxERES0WnDMzM8nd3Z18fX3pjz/+IC8vL5LL5eTt7U0AKCQkhOLi4tqja3qjsrKSNm3aRBYWFkyQ546ZRCKh1157Td9NbFfGjBnDDHlLS8tuG8JLRHTq1CkSCAQUHR3dKfv77rvvGnlx8Xg8EolENHfuXHJyciIPDw+6dOlSp7SnI4mNjSUej9cthXgD3RKDYGKga1BUVES2tra0cOFCfTelXTh+/DjZ2dlRr169KDo6mvz8/BrNfHOD1MjIyA4TM9atW0disZiSk5M7ZPuPCkFBQczbQiwW08svv6zvJrUrHh4eBICFfD322GPE5/Pp559/1nfT2kxZWRl98sknZGtrS3K5nKZMmUIODg5kY2NDe/bsYev9+eefJJPJaMaMGS2+T+rr62nDhg1kZmZGFhYWZGlp2Uiw3Ldvn47Q1NDQQCNHjiR7e3u9u2l3FC+99FKTs+VCoZC2bdum7+a1OwMGDGjWM+DkyZP6bl6HsH37duLxeBQTE6PzeVlZGb333ntkZWWlcy84OzsTn8+ngQMHtuqYpKamkpOTE/Xv358KCwuJ6K433MqVK4nP59OgQYMoODiYANDQoUPpzz//7NLC7pgxY8jDw4Pc3NyIx+ORQCAgoVBIn376qb6b1m6o1WodcV4gENDWrVv13awO5Y033iC5XE43btzokO3n5ubSU089xcYn2s9cPp9Pzz77LG3atIlkMhmNHTu2W0waFhcXk62tbbcNaTXQLTEIJga6Dj/88APxeDw6cOCAvpvSLmRlZdGgQYPI2NiYfvnlF4qLiyN/f3/i8XgklUobzTJ4eXnRsWPH2m3/V69eJZlMRh999FG7bfNR5PDhw40Mor59++q7We3KiBEjSCgU0rx581g+nEmTJtHAgQP13LLWk5WVRa+//jqZmJiQiYkJvfzyyzR37lzi8Xg0bdo0Znxpc/ToUTI2Nqbx48eTUqls8b6Ki4tp2bJlJBAIyNPTk3mvcIuJiQktWbKEsrKy6KWXXiKZTEZnzpxpz+4+Muzfv79RmKC2982GDRv03cR2hxMam/IycXZ2bjYvTlfnjTfeIJFIRPHx8XTgwAEaNmwYE+t5PB6JxWIaMWIEWVhYkL29PUVHR7cqV8KVK1fIwcGBBg4cSMXFxY3+f/DgQXJ1dSVra2v64IMPaPTo0ey5vHPnzi7n7Xjx4kXi8Xj0xx9/kFqtpp9//pn8/f0JAO3evVvfzWs3kpOTG41LXFxcunSo54NQKpXUu3dveuyxx9pN0FOr1bR582YdoZ47nsbGxsTn82natGmUkpJCK1eu7Bb5SrSZM2cO2dvbd+lktQb+dRgEEwNdi0mTJpGbmxtVVVXpuyntglKppOeff569EBsaGiguLo4CAgKIz+eTjY1NIyNGLBbT3LlzHyrus6GhgQYNGkT9+/fvcoPT1hIeHq5T7YMziLqTMfT77783CiU5e/YsAaCDBw/qqVWt4/r167Rs2TKSSqVka2tLkZGRtHv3bnJ2diZLS0v6/vvv7/v9EydOkImJCY0dO5Zqampate8rV67QmDFjiMfj0ciRI2nChAkkEAga3Xsvv/wy1dXVPUw3H0kKCwvJ0tKy2YofEomE3nvvPX03s92xtrZuNv+PSCSiefPm6buJHUJ2djb5+vo2Ot+Wlpb03HPPkbe3N4nFYlq2bJlO9ZuWkJSURFZWVhQWFnbfZ2x5eTl79z311FN04MABioiIIJFIRHZ2dhQZGdllwt5mz55NPj4+jQzagwcPdqvqUp9//nmT4XqxsbH6blqHkpSURCKRiP773/8+1HZSUlIoLCys0X0nEonI2tqaCSVXr16lgoICGj58OCkUii7tKXov8fHx3TIs2kC3xyCYGOha5OTkkLm5ebeLC+bymowbN47KyspIo9HoCCfu7u4kk8kaDeqdnZ1p586drd7fRx99RBKJpFvEwt6PCxcuNDtr/m+InR0+fDiNGjVK381oFo1GQwcOHKDx48cTj8cjHx8f2rZtG92+fZsiIiJYrpKWlkNNTEwkS0tLGjZsWJsExZ9//pnc3d1JLpfTa6+9RqtXr25UoUAqldL06dPpwoULrd7+o8q4ceMaiYr3irTLly/XdzPbnaaeqfcu3cUYVKlUtH//fgoJCWlksPn6+tKaNWuYp8fUqVMpIyOj1fv4559/yMLCgkaMGNHi++/YsWPk7e1NJiYmtGnTJkpPT6dly5aRXC4nCwsLevPNN+n27dutbktnkZmZSUKhkL799lt9N6XDmT59eiPBhM/nk6+vb5cOp2oJ77zzDhkZGbW6JHZ5eTk999xzZGRk1OjZ4ujoSA4ODjpCCdHdSkT29vbk6elJKSkpHdEdvVBVVUXu7u40Y8YMfTfFgIHWYhBMDHQ9tm7d2i1jzE+cOMHymly+fJmI7rpu/vjjj9S7d2/i8/kUEhJCvXv3bjLmfvDgwXTx4sUH7ufKlSsklUrpk08+6egu6Z1p06Y1aQi2JPFhd+DPP/8kAJSYmKjvpuhQVVVFW7ZsIV9fXwJAw4cPp99//53UajXFxsaSlZUVOTg4tKky1vnz58na2ppCQ0NbPTtOdDfx6dq1a8nMzIzMzc1JLBbTsGHDKCAggHkncdeRi4sLrV27tsmwg65CdHT0A0UDgUBAzz77rL6b2q6o1epmxVTtxczMjLKzs/Xd3DaTmppK8+fP1zHYBAIBicVievrpp8nGxobNbg8YMICOHDnSpv0cO3aMTExMaNy4ca1OBFpTU0ORkZEkFospODiYLl++TMXFxbRmzRqyt7cnoVBIU6dObdeQ1PZiyZIl5Ozs3O09NYmoUUJS7eWvv/7Sd/M6lLq6Ourbty+FhIQ8MDRGpVLRF198QY6Ojo28ccRiMYWGhpKbmxsJBAJ65plndLyQuMmzJ554olvkK9FmyZIlZGlpSXl5efpuigEDrcUgmBjoemg0Gho5ciT16dOn27nHZ2Vl0eDBg1leEw7OkOzXrx8BoEGDBtETTzxBMpms0aBfIpHQnDlzmqxk0NDQQAMHDqTBgwd367hjorvlkpsLMQDuVmj4N9C/f/9HZkYnIyODXnvtNTIzMyOpVErPPfcc89RIT0+nkSNHEp/Pp4ULFz5UyNTVq1fJ0dGRAgMDqaioqE3bSElJIWNjY5bPIjo6mk6dOkXPPPMMSSQSlpSPM0CHDx9Ohw4d6nIzrT/99BPNmDGDedKIxeIm75ennnpK301tV0pLS5vsJ5/PZ6KYh4cHvfbaa51Ssaw9qaiooP/7v/8jd3d3HZGE80pcu3YtpaWl0cqVK0ksFhOfz6fg4OA250g4fPgwKRQKmjZt2kMJB8nJyRQUFEQikYhWrlxJSqWS6urqaPfu3ayiXEBAAO3YseORqM5SVFREcrmc/vOf/+i7KR1Oenp6s+9SoVBIQ4cO1XcTO5zz58+TSCSiTZs2Nfn/06dPU2hoaJPjDjc3N5o4cSLZ29uTSCSiiIgIHaFEqVTSggULul2+Eo6TJ08Sn89vk0e0AQOPAAbBxEDXJDMzkxQKRbcs/6hUKmn+/PnE5/Np9erVjV6cx48fZyEM7u7uNGvWLAoMDGxU0hAAWVlZ0YcffsgGse+//z5JpVLmwdKdWbBgwQPDDLqb4NYUu3fvJoFAQNeuXdPL/lUqFR04cICmTZtGAoGA7O3tKTIykiVvbWhooE2bNpFcLqc+ffrQ6dOn22W/GRkZ5ObmRv7+/i0ug8pRUVFB/fr1I19fX7py5QotXLiQhEIh+fr6UmxsLJWVlVF0dDT16dOHiZTcdWVsbEwzZ86k48ePt0s/OguVSkWnTp2ixYsXs9lQPp/PXPDDwsL03cR2JTMzk50z7jkhEAjIwsKCoqOju1wlpNraWvrtt98oPDycnTMej8eEvfDwcHbtRkVFkYmJCTk6OlJ0dDTt27ePhEJhm96n+/btI6lUSjNnzmxxae/7oVarKTo6mhQKBXl6etLhw4fZ/xITE2nhwoUklUrJ1NSUFi5cqNfQuHfffZcsLS0fKp9YV+Gbb7657wQEgG7n9dsUkZGRZGRkxMSOnJwcevrpp5tM1C+VSmnSpEk0ffp0ksvlZGJiQsuWLWv0bOEmykxMTOj333/XR7c6FKVSSb6+vjR27Fh9N8WAgbZiEEwMdF02bNhAYrG42+bh+OKLL5hrZlMu/1ySTCMjIzI1NaV58+bRW2+91cgNlHt5Ozs7k1AopM8++0wPvelc8vLy7iuW/JsGeCqVijw8POjFF1/s1P2mp6fTW2+9RXZ2dsTn82ns2LH066+/6hhVFy5coAEDBpBUKqXIyMh2F7Bu3rxJHh4e5OPj0+KwCpVKRRMmTCArKyudUpJXrlyhSZMmEY/Ho+DgYNq/fz8R3Z05mzdvHslkMhIIBDrXnY2NDb3yyissNr0rsHHjRjI3N6ecnBzauXMnzZw5k0xNTcnf31/fTWtXLly4QADIy8uL3njjDTp06BB9//33JBAIukyIVX19Pf3xxx80evRoHc8gznjz8PCgTz75hPLz86miooI+/vhjsrKyInNzc1q7di1VV1ezbW3bto14PF6rZoDj4uJIIpHQ888/3+4z4hkZGTR69Gji8Xi0cOFCnfC63NxcWrt2LfXs2ZN5C8bExLQ62fPDUFVVRZaWlt1y0qYpnnvuufu+U0UiET355JP6bmaH09DQQP379yd7e/tG+a24SauBAwfS66+/TpMmTSKBQEBubm4UFRXVZIjNoUOHyMbGhnx8fLrUe6I1vPXWW2RsbNzlRGgDBrQwCCYGui5qtZqCg4MpKCio24aXJCYmUo8ePcjZ2bnZmfeCggJavXo12djYkEQioWeffZa+/PJLmjNnDkml0kZeJzwej3z3CqqoAAAgAElEQVR9fZnB1x154403HpifQCQSUVRUlL6b2in897//JYlEQjk5OR26n8rKSvrmm2/oscceIz6fT46OjvTuu+/SzZs3ddarqamhlStXklAopNDQ0A4NecjNzSU/Pz/q1asX3blz54HrL1myhGQyGZ06darJ/58+fZrGjh3LQuP27dtHRERlZWX05ZdfUmhoKPF4PJJIJDr5Tuzs7OjVV1/Vm6dPSxk1ahRNnz5d5zO1Wt3tvNJKS0sbXQ9lZWUkEonoxx9/1FOrHoxaraZjx47R9OnTdfKSSCQS4vP5JJfL6dlnn2XhYeXl5bRmzRqysLAgExMTeuedd5ot5/nyyy+TWCzW8epoju+//56EQiG9+OKLHRo+EBsbS9bW1mRvb0979uzR+Z9arWbea2KxmMzNzenFF1+khISEDmsPx4YNG0gulzdZ5rw74ubm9sAJCB6P1+XC11qKUqmkqKgosrOza9RnANSjRw96//33aePGjRQYGEgAKDQ0lPbs2dPk/aHRaGjTpk0kEolo4sSJXaYiVGu5cOFCu1QYMmBAzxgEEwNdm6tXr5JEIunWXhOFhYU0atQokkgkzcbOEt11yd62bRsLE+jXrx999tln9OWXX7LBzr0iAp/PJz8/Pzp06FAn9qhjaWhooKFDh5KFhUWj/opEImbI8ni8f42LaG1tLdnZ2dFbb73V7tvmjJaIiAiSy+UkkUho8uTJFBcX16SQGRcXR25ubmRmZkZbt27tlJwfeXl51LdvX3J1ddXxGrmXjRs3Eo/Ho927dz9wmxcuXKBp06YRj8ejfv36UWxsLOtLRkYGffDBB+Tp6UkASC6XNxJP3nnnnUcumWhNTQ3JZDL6+uuv9d0UvREaGvpIJrhNTEyk2bNnk0Kh0AkrFIlEJBAIaNy4cbR7927mZVFRUUFRUVFkYWFBxsbGtHLlygd6zqjVapo4cSJZWlreV9jbuXMnCQQCev3119u1j81RUFBAs2fPJgA0ZcqUJqvm5Ofn0/r161lSdE9PT/rggw8oMzOz3dtTX19PLi4utGLFinbf9qNIXl4ee5dy79B7w3PEYjE5OTnRhg0b9N3cdkOlUtGWLVvI2dm5WZHo6aefpp07d9KSJUvIzMyMJVM+c+ZMs9utqKigqVOnklAopKioqC6X96qlNDQ0UGBgIA0ZMqTb5WQx8K/DIJgY6PpwMaX3M4S6OiqViiIjI4nP51NERISOK3VTcLHeCoWCJfV7/vnn6auvvqIRI0YwwUD7xS8QCKh///7tlkPiUaC+vp7u3LlDW7ZsIQC0Zs0aeuutt2jOnDk0fPhwCg4O1ncTO40PP/yQTExM2mUmS6PR0OnTp+nll18mJycn5m3x3//+t1mjLDMzk5588kkCQDNnzuxwb5d7KSkpoaCgILK3t2/SW2Lfvn0kEAhaXT0qMTGRnnzySeLxeBQYGEg//fSTjlB0+vRpWrJkCaswIZfLmbHB4/GoV69e9Omnnz4SlQP27t1LPB7vkRNyOpOPPvqI7Ozs9G7EaDQaOnPmDEVERJCJiYmOJ4lEIiEej0eDBg2i//znPzplt/Pz82nVqlWsytPq1atbVW2jpqaGgoKCyMvLq0lPlC1bthCfz6eVK1e2Sz9bw/79+8nT05MUCgWtW7eu2QSzSUlJtHz5crKxsSEej0dhYWH0+eefU25ubru0Y8eOHSQSiRp5znVXDhw4QAEBATR+/HhatGgRffDBBzRx4kRycnKiS5cudTsvm+joaHJ0dGzSS5XLnbNv3z7y8PAgY2NjJtBFRUXp3ItNcfXqVfLx8SEbGxs6ePBgJ/VIP3z88cckkUi6rdeRgX8VBsHEQNenoaGB/P39acSIEXof5HY0e/fuJXNzc/L396f09PQHrl9QUECOjo7spe7j40MbNmyga9euUUxMDI0ePbpZ8SQoKIjOnj3bCb3qeH788Ufi8/ntkpSwq1JWVkampqa0bt26Nm8jMTGRXn/9derRowcBoF69etGqVasoNTW12e/U19fTpk2bWBJHfYaClZaW0pAhQ8jW1lanBHdSUhIpFAqaP39+m7d9/vx5mjJlCvH5fHJ3d6fPP/9cR9hUqVR0+PBhWrx4MXPr1hZPAJCTkxMtXry4ReXBO4LFixdTQECAXvb9qJCUlEQAKCkpqdP3XVtbS7/88guNGzeO5HK5jmecWCwmHo9HgwcPpk8//bSRsZ6amsoSolpbW9OaNWvaVFab6G4iSxcXFxo6dCgplUr2+fr164nH49EHH3zwUP18GLjniVwup169etHff/9933Xj4uJo1qxZpFAoSCAQ0IgRI+jLL79sdSJoDo1GQ35+fjR37tw29qB78NVXX5FCodB3M9oFtVpNmzdvJicnpyZFEoVCQbNnz6a4uDg6efIkLViwgIyNjZm36sKFC1s09ty1axfJ5XIKCwvr9AmDziYtLY1kMtm/JuzZQLfHIJgY6B6cOXOGBAIBbdu2Td9N6XBu3bpFAwcOJBMTE53Sw03x5ptvklwupxs3btDly5dp5cqVZGFhQQKBgEJCQig6OprS09Pp66+/pieffFKn2od22I6Xlxf99ttvndTD9uezzz4je3t7fTdD77z22mtkZ2fX4pKcKpWKjh8/TitXrqRevXoRAHJxcaFly5bR8ePHHzhIPHz4MPn6+pKRkRFFRkbqGF/6oqqqih577DEyNzens2fPUnZ2Njk7O9OwYcPaJelsenq6TjLmZcuWUVZWls46arWajh49SkuXLiUHBweWqJOrbgLcrbYzZswY+vnnnzutmlPPnj3p7bff7pR9PapoNBpycHCgjz76qFP2V1RURFu2bKFBgwbpnH/OGONK/m7cuLHJUJTjx4+zClQ9e/akTZs2PdADsSWkpKSQqakpC0+KiooiHo9HGzdufOhttwfp6ek0btw4AkDjx49/YH6i2tpaiouLo4iICFYuPCQkhKKiolqVbPPXX38lHo/XbZPNt5R9+/YRgDaLcvqmrq6OXn31VbKwsGgy1MbBwYFWrFhBBw8epOvXr1NUVBR5e3sTAPL29qaoqCgqLCykqKgokkgk9xW5GxoaaOXKlQSAFi5c+FClt7sCarWawsLCqF+/ft2+rwb+NRgEEwPdh1deeYVMTU0bGSfdkdraWnr++eeJx+PRypUrm8wVce7cORKJRLRlyxadz6urq2n37t1MIJFKpTR58mSKjY2l0tJS2r9/P73wwgtkbm7e5EDCysqK3nrrrS7lzfP6669TYGCgvpuhd7KyskgsFtPWrVubXaeoqIhiY2MpIiKCDSb9/Pzo7bffpn/++adF+8nJyaGIiAhmzHREHoGHobq6mkaOHEmmpqbk4+ND3t7ezSbCbCuFhYX0/vvvk42NDUmlUnr++eeb9FrQaDSUmJhIq1evpgEDBhCPxyOBQKAjXgoEAurbty9t3LixVeEVrSEtLY0AdLlyyB3Bs88+S6GhoR22/WvXrtGKFSvIzc2NzWjz+XxW3UahUNCUKVNox44dTbr4K5VK2rVrFwUFBbEqMb/++mu75wn4888/SSgU0uOPP048Ho82b97crttvD+Li4qhHjx5kampKmzZtalEC+KqqKoqNjaXZs2ez91yfPn1o1apVlJCQcF9PxODg4H9FNZgHwVWZ6kqVXYqKimjq1Kk6yZK1k7f269eP1q1bR1evXqXMzExau3Yt9evXjwCQo6MjrVixolHIslqtptDQUAoICGhSHLhz5w4NGTKEjI2NKTY2trO6qlc2b95MQqGQzp07p++mGDDQXhgEEwPdh+rqavLw8KDx48fruymdRkxMDMlkMhoxYoTOwFqpVJKfnx89/vjj9xU2SkpKaPv27TRy5EgSCARkbGzMXE9ramooOTmZ1q5dSwMHDmyU5A0AyWQymjhxYrsbm+3NrFmzDIPc/5/nnnuOevbsyQyL2tpaio+PpzfffJMGDBhAfD6fBAIBhYaG0vr16+n69est3nZDQwNt2rSJTExMyN3dnfbu3dtR3XhoampqyN7evtWlVNuyny+//JL8/PwIAAUHB9N3333XrNdIbm4ubdu2jSZNmsQSfHLhGNzA3tHRkZ555hk6ceJEu7Vz06ZNZGpqapgRpLshfO1ZXriuro52795NI0eO1EnaKhAIWDJgDw8PWr58Of3999/NXhu3b9+mt99+m2xsbEgkEtH06dObrebUHmg0GgoPDycA9MILL3TYfh6W6upqioyMJIlEQv7+/q0qF19fX08HDhygJUuWkIuLCwEgExMTeuqpp2jz5s06gsCRI0cIQLved12VgoICAvDI5+E4evQoBQQE6HhvcYtUKqUpU6bQrl27qKioiG7dukWbNm2iwYMHE4/HIysrK3rxxRfpyJEj9xUjU1NTSSaTNQpVO3z4MNna2pKXlxelpKR0dFcfCW7dukXGxsb0zjvv6LspBgy0JwbBxED34vDhw8Tj8f41Sj7RXU8SNzc3cnZ2ZoPnV199lUxMTFpV9764uJhiYmIoPDyc+Hw+yWQyCg8Pp02bNlFWVhbV1NTQ33//TUuXLm3SjZXL3fDTTz89ct4nw4cPpxdffFHfzXgkSE1NJT6fTy+88AJNmzaN5bdxd3enhQsXUmxsbJsMxWPHjlGfPn1IJBLRsmXLqKqqqgNa334sW7aMpFIpDR8+nIyMjO6bC6G9OHz4MKuOYGtrS++8806TYRYcDQ0NdOLECVq9ejUFBwezQb/24F8oFFKvXr1o8eLFDzXbO3r0aJo2bVqbv9+dKCkpIaFQ+FDvkUOHDtEzzzxDzs7OOmIXJ5BYWFjQjBkz6KuvvrqvB5ZGo6H4+HiaNGkSCQQCsre3p8jIyA5PzKvRaGjp0qUkEAho1KhRJJVKWyVE6INr167R6NGjicfjUURERJvylKSnp1N0dDRNmzaNeZ/Y2trStGnTqHfv3hQUFNQBLe96aDQakkgk9O233+q7KTpUVlay0ON785HweDzy8fGhjRs3MgEjJSWFoqKiKCQkhHg8HpmamlJERATFxcW1SjzesGEDCYVCSkxMJI1GQ1FRUSQQCGjmzJlUWVnZUd195JgwYQJ5eXm1OOzXgIEugkEwMdD9WLBgAVlZWbU5qVtXpKioiMaMGUMSiYRWrFjx0PlcCgoKKCYmRseg9vX1pcjISDYgKCwspB9++IGCgoKanL2RSCQUFhb2wNmZzqBXr156TVSoT+rq6uj06dO0adMmmjFjBllbWzND++mnn6Zt27Y9VLWH7OxsioiIIB6PR2PGjGmVR4q+2Lp1K/F4PNq1axepVCqaO3cuSSSSTsvTk5ubS1FRUeTk5ER8Pp/Cw8MpNjb2gblKKisr6Y8//qBXXnmF+vfvr1NtR3vWNDAwkN5+++37lobVhisnvGPHjvboXrcgJCSE5s2b16J1VSoV7d27l2bPnk3Ozs463njcuTE2Nqbx48fT+vXrKSkp6YHPxDt37lBUVBR5eHgQAAoMDKSYmJhO8QBSqVQ0b948EovF9Msvv5BaraannnqKrKysusT9/d1335G9vT1ZWVlRdHR0i8J0mqKhoYESEhLo/fffp/79++uEbixfvpx27979yIUbdiaurq56T+pZUVFB69atIxcXlya9YE1MTGjBggV0/PhxamhooJqaGjpw4AAtW7aMHB0dCQC5urrSwoULKS4urs15ttRqNQ0dOpR69+5NEydOZCWD/03ExMQQn883hHUa6I4YBBMD3Y/y8nJycnKiOXPm6LspnYpGo6E1a9YQALK3t2+3Gf6amhqKi4ujBQsWkL29PUv8OX/+fNq9ezcrh1pZWUkxMTHk5ubW5MBFKpVSSEgIxcTEdPrsg0Kh+FckBCa667YfGxtLL7/8MgUHB7O8CBYWFvTEE0/QunXraOfOnQSA4uPj27wfpVJJa9euJYVCQT169KA9e/a0Yy86Di4vg3ZST7VaTfPnzyexWNyp/airq6OffvqJxowZQ3w+n2xsbOi1115rcRnGqqoqOnjwIL3//vsUFhbWZNJmoVBIPXv2pEWLFtGJEyeaNLj37dv3ry8nfC8ffvhhs+WFi4qK6LvvvqMJEyaQlZVVk5U1rK2tadasWRQdHU2XL19ukddddXU1ffvtt/TYY48Rn88nW1tbeuWVVzo1wahKpaKIiAiSSCT0+++/s88rKyvJ39+ffHx8OiyPTntSXl5OK1asIJFIRAEBAXTs2LGH2t6sWbPIz8+P4uLiaPny5RQYGMgmCuzs7GjixIkUFRVFR44ceeS969qL4OBgWrZsWafu8/bt2/T666+Tm5sb89bSXkQiEQ0cOJD++usvqq+vJ7VaTUlJSbR+/XoaPXo0yWQy4vP5FBQURB9++CFduHCh3dq2b98+4vP5ZGxsTAkJCe223a5AYWEhWVtb09KlS/XdFAMGOgKDYGKge7J3714CQHFxcfpuSqeyfPlyksvlZGpq2uLSw61Bo9HQ2bNnmYEmEomIx+NR37596ZVXXqH//e9/bLBYXFxMixYtIktLyyYNCoFAQI6OjjRjxgzavn07E17am7KyMgJA//vf/zpk+/okJyeH9u/fT5988glNmTKFzZgJhULy9/enRYsWUUxMDKWmpjYy2EaMGEEjR45s034PHDhAPj4+ZGRkRCtXruwyLsdc5Y+mSoJqNBpatmwZCQQCvbiZ37p1i1avXk2urq4s18mWLVtanR8oPT2dYmJiaO7cucyD5V63dBMTExowYACtXr2akpOTafHixeTv799BPeuanDt3jiXBPXDgAC1cuJB69erVpCglEonI09OTXn31VYqLi2v1sywxMZGWLVvGKphxHkednU+mrq6OJk+eTHK5nA4cONDo/9nZ2eTk5ETDhw/vtMpND0taWppONZ22eIRkZGSQUChslOuourqajh07RuvXr6fJkyezildCoZACAgLopZdeoq+++orOnj3bLpWLHjWmTp1KU6dO7ZBtq1QqOn/+PK1Zs4ZGjBhBFhYWTU7EcNWhYmJi2DsuIyODvvrqKx2PSmtra3r66adp+/btlJub2+7t/eabb0gmk5GnpycJhUI6e/Zsu+/jUWbatGnk6upKFRUV+m6KAQMdwXYeEREMGOiGPP300zh16hRSUlJgbGys7+Z0OAkJCRg6dCi+/vprDB8+HNOmTUNqaiq2bduGadOmdcg+q6qqcPToUcTHxyM+Ph4pKSkQi8UICgrC0KFDERYWhpCQEMjlcvz999/4v//7Pxw5cgS1tbVNbk8oFMLBwQE+Pj4ICgrCoEGD4OnpCTc3N4hEoja18erVq/D19UVycjL69u37MN3VG0qlEpcvX8bFixdx6dIlXLx4EcnJySgqKgIAODk5ITAwEEOGDMHgwYMxYMAAyOXy+27zr7/+wpgxY5CYmIjAwMAWtePatWt4+eWX8b///Q/jx4/H5s2b0aNHD/b/srIyKJVK1NTUoLq6GvX19SAilJWVAQBqa2uhVCrZug96/ZSWlraoXdqIRCIoFAoAgEwmg1QqBQCoVCqsWLECtra2iI6OhlgsbrSuRCLBe++9hy+//BJbt27F/PnzW73/h0Wj0SA+Ph4xMTH49ddfodFoMG7cOMyZMwdjx46FWCxu1fYaGhqQkpKCQ4cO4bfffsPly5dRXl4OjUajs55YLEavXr0QEhKCYcOGITw8HNbW1u3ZtUeeCxcu4NChQzh69CiSkpKQnZ3d6BoVi8Wws7NDaGgoJk+ejIEDB8LFxaXV+8rJycHOnTuxfft2XL9+Hb6+vpgzZw7mzZsHGxub9upSi6mrq8P06dNx5MgRxMbGIigoCBUVFVCr1dBoNCgvLwcApKSkYNGiRRg2bBgWLVqEuro6AGhy3dYgkUhgZGR033WkUilkMhkAwNTUFHw+H2KxmD3rjI2NIRQKYWZmBqlUqrO9+Ph4LF++HJmZmVi2bBlWrVrF7v0HsWTJEsTFxSE9Pf2B76E7d+7g1KlTOH36NM6cOYPk5GRUV1dDIBDAw8MDffv2ZUufPn3g5ubWojY8iixfvhyJiYlISEho8zbKyspw/fp1pKam4sSJEzh//jyuX7+O8vLyJt8PPB4PdnZ2mD17NpYsWQJXV1dkZGTg2LFjbElPT4eRkRHCwsIQHh6O8PBw9OvXDzwe72G62yRKpRIrV67E5s2bsXTpUqxbtw5jxoxBfn4+kpKS2PunO7N3715MmDAB+/fvx+jRo/XdHAMGOoIdBsHEQLelqKgIfn5+mD59OjZv3qzv5nQo1dXV8Pf3h7e3N/744w8AjV/k69evb7Wx1Vpyc3Nx8OBBHDlyBMePH8e1a9cgEAgQEBCAsLAwDB06FKGhodBoNNi1axe+++47XLp0CQ0NDffdLo/Hg6WlJdzc3ODj4wNvb2+4uLigR48ecHV1hb29PQQCQZPfPXjwIMLDw1FYWAgrK6uO6Ha7UVFRgbS0NKSlpSE1NRVpaWm4cuUKrl27BpVKBZlMBj8/P/Tr148NuPv16wcLC4s27S8wMBBubm7YuHEjysvL2VJRUYHy8nKUlZWhrKwMBQUFOH36NFJTUyGXy+Hg4ACBQAClUonS0lIolcpmRbDmMDExafaccQiFwlaLnXV1daipqQEAJtq0FSMjI1hbW0OhUEAul8PExAQmJiaN/pbL5VAoFM3+bWFhAT6f3+r9V1RUYM+ePdi5cyeOHj0Kc3NzzJgxAzNnzkRISMhDGQCFhYX49ddfsXPnTpw4cQI8Hq+RgcLj8aBQKGBnZwc3Nzf4+flh4MCBGDRoEFxcXCAUCtu8f31QV1eHzMxMnDhxAufOncPVq1dx69YtFBQUoLa2tlH/+Xw+hEIhxo0bh0mTJmHy5MkPFCLvR0VFBX777Td89913iI+Ph4WFBWbNmoVnn30WAQEBbdqmUqlEcXExqqurUVlZifLyclRVVbX676KiIqhUqjb3TaFQMDHB3Ny8Vd9tqchSU1PDBJqWYmpqCqlUCrlcDmNjY5SXlyMrKwsikQgDBgxAYGAgTE1NYWpqChMTE5iamsLMzAxmZmYwNTVFQ0MDBgwYgE8++QRLly5t1b65vmVkZCA5OZkJ3snJycjMzAQRwdTUFL1794aPjw+8vLzg5eUFb29vuLm5PfL31yeffIItW7bg5s2bza5TW1uLzMxM3L59G7dv38atW7eQlpbG7r3q6uoH7sfExATDhg3DwoULMWrUKNy4cQPHjh3D8ePHcfToUWRnZ0MqlbKJmsceewzBwcGQSCTt2NvGXL9+HdOnT0dGRga2b9+OqVOnAgBu3ryJvn37YsmSJfj44487tA36pry8HH5+fhg5ciS+/vprfTfHgIGOwiCYGOje7Nq1C3PnzsWRI0cQFham7+Z0GIsXL8bu3buRkpICR0dHnf/t2rULL774Inx9fREbG6vjEdDR5Ofn4+zZs0hISEB8fDzOnz8PjUYDd3d3hISEIDAwEMHBwVCr1fjmm2/w559/4s6dO00abjwej82K8/l8EBFbTygUwsbGBk5OTrCxsYG1tTUcHBxgY2PDvGzOnz8POzs7WFpadlr/m6KhoQG3bt3CjRs3mCjCCSS5ubkA7s5ie3p6wtvbG97e3kwg8fDwuK/IQEQoKChAQUEBcnNzUVhYiOLiYp2lsLAQRUVFKC4uRkFBQZOCglAohImJCczMzKDRaJCTkwMA8Pf3R0BAAMzMzGBkZASJRAJzc3M286ttnGjPBpuZmYHH4+nMBncWGo0GU6dOxdGjR/HXX3+hR48eqKioAAAdoaeqqooJd2VlZdizZw9+/PFHjBs3Dv3799cxMKurq1FVVaXzd3V1NdtuU5ibm8PS0hIWFhawsLDQ+Z2bDZfJZBCLxeDz+RAIBBAKhaiqqoJKpUJJSQnOnDmDU6dOIT8/nxlanp6esLW1bdQHbc8eoHmBKiUlBYmJiViyZAmKi4tx69YtZGRkID8/nxmn995vwN17UiqVwszMDNbW1nBycoKbmxv69OkDV1dXeHh4wMnJqdNmWEtKSnDz5k3cvHkTV69eRVpaGm7duoXc3FwUFxejsrKykTDLCU5EBB6PBxMTEzg5OaFnz55wdHREVlYW9u3bhzlz5jQpNmt7TN17bcvlcojFYqhUKty4cQPp6elITU0FEcHb2xthYWHo06cPhEIh5HI5e8apVCrU19dDpVKhtrYWNTU1qKysZPdvSUmJzsKJg/fCiY2mpqaQy+XNCn5SqRS7d+9GXl4e3nvvPXh5ebH7VlsE4e5hbrtbtmzBqlWrsHv3bjz99NMPfwJbCed9pn0Pl5WVQaPRoKysjJ0bba+3iooKKJVKFBQU4NSpU8jIyICxsTGsra1RX1/PxOKmMDc3h5WVFSwtLdmi/Tf33rG1tYWDg8MDn3OVlZVISUnBxYsXcfHiRfYeyMrKAnD3eurZsye8vb3Rq1cvJqZ4eHjoxQNJm/r6ehQWFmLHjh344IMPsHXrVuTn5yM/Px+FhYXIzc1FXl4ecnNzdbwEBQIBNBoNe47w+fxGnm7A3b77+/tjxowZmDRpErKzs3Hu3DkkJCTgyJEjKCwshFwuh7+/P0JDQxEeHo7Q0NBO9eb4/fff8eyzz8Ld3R2xsbHo2bOnzv+3bNmCpUuXIiEhAYMGDeq0dnU2zz//PPbt24fLly+3eeLGgIEugEEwMdD9eeqpp5CamooLFy6wgWB34tChQwgPD8euXbswa9asJtdJTU3FtGnTkJeXh2+//RZjx47t5FbepaysDCdOnMCpU6eQkJCAxMREVFdXw9zcnIWT+Pv7o6ysDL/99huOHz+OwsJC9n1tw00qlUIqlaK6upoZQgKBgIVWEBEaGhpQVVWlY+iJRCLY2NjA1tYWVlZWbDZRe+FmGe+dbWypC3dDQwPu3LmDjIyMRsvly5eZkWVubg53d3f4+vrCz8+P/e7t7a1j3KpUKuTm5uL27dvIzs5Gbm4u8vPzkZuby8SR/Px8FBQU6E4BrFMAACAASURBVMwSi8VinQE+N8jnBvrm5uZ45513MGjQIHz88cdsplUul+Ps2bPM5Xr+/Pn46KOPHnkPnaZ47bXXsHnzZuzfvx8jRoxo1Xe/+OILLFmyBJGRkYiMjGxyHaVSiaKiIhQVFSE/Px937txh56OoqAgVFRUoKytDeXk5ampqUFNTg9raWmYUq9Xq+7aBM6T5fD4TKe41rEUiESwsLODk5KQzu8+FLdxvBv/8+fMA0KSQ2tDQgMLCQiiVSlRXV0OlUjVp4Dyo/Xw+HyKRCDKZDHK5nIksnKFpamoKY2NjCAQCdt2r1WqoVCqUlpY2Ev64Y1lXV9emNgF3nxUSiYQJfdyx0katViM5ORl9+vRp0kjV9oDSFk+ICNnZ2cjPz2fhTyKRCGKxGAKBAA0NDazdRNSi9otEIrYNmUzGRA9jY2OYm5szQc7R0RFOTk6wt7dn97mVlVWTHk5lZWUYO3YsMjMzER8fj969e7fqGC5ZsgQ7duzAoUOHMHjw4FZ991Hg3LlzWL58OU6dOoXZs2fj008/hbW1NfOsy8vLw5gxY/DEE09g+PDhTGhuSoTWFieBu4KZvb09bG1tmYhibW0Ne3t72Nvbw8XFBY6Ojo0E/Lq6Oty4cQNXrlxh74srV64gLS0NVVVVAO6GLzk6Ouq8N7ilR48eLfJm4wTV0tJS9nzi+s39rv0Zdx/m5+ejuLhYZ1ucWCgWi6HRaKBUKnXeu1z4Y21tLTQaTSMBViAQwMvLC0888QTCwsJQWVmJM2fO4OTJk0hOToZKpYKTkxNCQkIwZMgQhISEwN/fXy8eOCqVCqtWrcK6devwzDPPIDo6uslxJRFh7NixuHXrFpKSkrrl2PPw4cN4/PHHERsby7xrDBjophgEEwPdn5ycHPj5+WHRokXdzj2yuroa/fr1Q+/evfHbb7/dd93a2losXboUO3bswBtvvIGPPvrogSERHY1arUZqaioSEhKYm/yVK1fYACowMBC9e/eGWq3GyZMnkZCQgNLSUhY+wOPxIBKJmJeEkZERbGxsYGRkBI1Gg4qKCuYdAdyNcedCJoyMjNjAUq1Wo6GhATU1NaiqqkJ5eXmTYUKcgcR5WGgfv7q6OuZlUFlZyQaDpqamcHJyQo8ePeDm5gZPT0/07t0bffr0gbW1NYgIOTk5uHXrFrKyspCdnY3bt28jKysLWVlZuH37NvLz85lhzefzYWNjAxsbGzg6OsLMzAzm5uasTdzMsUKhYDPo2rOw2m7tlZWV+Oeff3Dw4EG8+OKLUCgUKC8vx9GjR3H16lW4ubnh8ccfbzSoFwgEMDExYX9rG5vaeUO49bhcIZzXCTe4bklYzsOwfft2LFiwADExMYiIiGjRd6qrq5GVlcVEkF9++QU7d+7EgAED4OPjoyOOFBUVNXIpF4lETJQyMzNjRi133YlEInbtcCKISCRCQ0MDO0+VlZVsNryiooKFUFRVVTGvg4aGhia9gziBRXv73E/OYGmKpsKfmsorIZFIoFaroVarmQBUVVUFtVoNPp8PqVQKkUjE1uFEobaIGg+C65tQKIRQKGTXklKpZMdGIpFAoVAwjyixWIz6+vpG7bk3X45arb6vxxBnBGqLHtrLvXCiEedNxHlnSSQSdp3IZDIYGxuzhXvOCYVCHXFIpVIx0Uj7mcMZtff2hcfjsWuSW0xMTHDgwAHU1tbi7bffRu/evWFtbQ07OzvY2tq2yBhVq9WYNGkS/vnnH5w+fRqurq4P/E5b4QQpzouqrKwMarUa5eXlUKlUqKysZOtq5+jRFrKaO6cpKSk4evQoVCoVQkJCEBAQAIFAgLNnz+LEiRNYtGgRrKysmJcRlysF0BUlgbueTlVVVcyjpbKyEiUlJczzLycnR6etMpkMLi4ucHJygpOTExNSuN9dXFxgamoKjUbDQjQ5b5TMzExkZWUhJyeHPdNFIpHO9aQt0nHvKO750hQKhYIJmFKplPWZu8br6+tRU1ODsrIylJSUsPccF4LIhWoWFxczcYTbPwefz4e7uztGjx6N3r17o6qqChcvXsTx48dx8+ZNCIVC9OrVC6GhoQgJCUFoaCjc3d3bcNW0L3fu3MGMGTNw6dIlbN26FTNnzrzv+tnZ2ejduzcWLFiAdevWdVIrO4eamhr07dsXvr6+iIuL03dzDBjoaAyCiYF/B1988QWWL1+O06dPtzjBZVdg4cKF+PXXX5GSksLc8h/Et99+i0WLFmHgwIH4/vvvYW9v38GtbB05OTk4efIkTp48iVOnTiEpKQn19fWws7PDkCFD0KdPH0gkEiQnJyM+Ph4lJSU6A1aZTAaZTIaamho2UJZKpfDx8WHhI8DdfAL5+fnIysrSyb8hlUphaWkJMzMzGBsbg8/nQ61WM0O1qqoKFRUVOq7wnBAgkUggEAigUql0XOqbQzskgEMgEDBjTCgU6oRo8Pl8tl3OzbwlaIcLaIfKGBkZQSwW49KlS8zlvrCwEGKxGDY2NlAoFCAiJtZwxmFDQwM7ZkSk0476+voHek3ci0Ag0DHyuZ/ceeUMY7FYDKlU2mg9zjOBE8K4dhw/fhx9+/ZlLtEikYiFZtTW1jIDgptJLSwsbHRMjYyMIBKJUFFRASsrK7i4uEAgELDzwwkD3LGorq5GXV0dW2pra5lHwYPyqWiH4mifd+74CIVCJrBw/eHOCZ/PZ32pqamBRqNhIgJ3zrSvM86Ar6urg62tLesnZ8xLJBLweDxUVFRApVKhoaGBGV3cT+5z7hg8asMJ7ePJeWiIRCImnHDnUCqVwsTEBPX19VAqlezcqdVqFBQUoLKyEnK5HLW1tToeXNz2tQUTkUjEREtOqOLOHycccdvgjEjuuuCuE05out/x5IQisVjMvE64fnH3NSeecdeJ9nlMTU2FWq2GQqFgYV/a2+Y8Vri8HkZGRpBKpSyESCKRsG1xyYlDQkJYn0pKSnTEMk7s4f6urq7WEdIEAgG7jrjPuWuqtWIbJxIAd4VALpcFj8djoiB3brjzo9FoUFJSgqKiIojFYtjb2yMnJwfm5uZwcnJCZWUlO0Zcwup7w94eBJeMViQSsf1zYj33ztC+rziayi+kDRdOxr1/gLviEPeO4NotEAhgbGwMhUKhIyIKBALU1dWhvLwcJSUlKC4u1tkf5xlja2vLrqXq6mrk5eXh+vXrOm3g8/nsWGl7ktjb22P48OFwcnKCUqlEUlISzp07B6VSCWtrawwZMgTBwcEIDg7GgAEDHjmPDC40z8bGBj///DP8/Pxa9L1t27bhhRde6HZh4a+88gp27NiBy5cvNwoDN2CgG2IQTAz8O9BoNBgxYgTKy8vxzz//tLniyqNEfHw8Ro0ahR9//LHVVXDOnz+P6dOno6KiAt999x3Cw8M7qJUPj1KpxLlz53RElPz8fMhkMgwcOBDe3t4Qi8XIyclBQkIC8vPzmXHJDTqlUins7OxY7DX3uaOjI3r27AkbGxvweDxmcJaUlCA/P5/FxANgBiw3sG0OzggDwNa911DlBsDNzURzC/D/ZvaaEiG4fmobhRKJhO1fIpEwI5HzhNAe5Lc1Kaq2N0JzvwsEAigUCqjVavB4PBgZGbHjJhaLmREvlUpRV1fHZi85g7y+vp6JL5wBy3kOcEJYU3DHjtvv/Y51e8HtkzPOuGMuFAqhUCggFoshFApZKAVn6HLraBt1AHSMs5ai/R0iQnFxMcspoFarWT4LmUzGjnNpaSnq6+tZro2WiB7aXivcvu79Hhd+I5FImOjFnVPOOGwuT5G2cXhv3hRu/9rhKZyIpFKpmIeO9rnWvpe4bWrnUbhfPzlBrq6uDubm5izPDHA3XwyXH0Mul8PW1hZ2dnY6HjmcJ1Vr0P4OJ5xwRjRnSHP5Nri/tQ1jbVGLEx46apinHS6mUqmY+HC/a5cThLVFZu4Zxnk0cOeVu36EQiHq6+vZuVYqlcyLqa6ujrWD85rQ9iTR/r2tFXyA/5fPRVt85u5j7pzU1dWx64ULl9MWwJo6fpyYpv2cauqccesAje8LTlQVCoUgIvY8bQ5ODOWuEe4zKysrWFtbw8LCAiYmJhCLxairq8OtW7eQnp7OPGOMjY1hYWEBImI5x7TfuQKBAH5+fggMDISxsTGKi4tx7tw5pKamgs/nw8/Pj4kjQ4YMgaenZ5vOSWegVquxZs0arFmzBrNnz8aWLVtanYfriSeeQFpaGpKTk1sc1vsoc+bMGYSEhOCrr77CvHnz9N0cAwY6A4NgYuDfw7Vr1+Dv7493330Xb731lr6b81CUl5ejb9++GDJkCH744Yc2baOiogILFizAnj17sGrVKrz33nttquShD65du8bCeBISEpCWlsYGYgEBATA3N0dlZSVOnTqFq1evArhriHDGB4/Hg1wuB5/PZx4A98KJLD179kT//v3h4+MDY2NjlJaWIi0tDdeuXUN6ejry8vJQXl7erFcFn8/XcbfnPFy4WVDt/AbczGNzcDO6nNHLLUTE+sZ5tdTW1up4zvD5fOY2bWFhAXNzc6jValy5cgVlZWXg8/mYOnUqVqxYwYwVzvjj8mK0xQBsT3JycnDu3DmcP38eFy5cwPXr15Gfn4+Kigp2HJpCu5pMS19593omcIZgWVkZS2zLHW/tcy8QCGBlZQUHBwfY29vD2dkZ9vb27G8HBwe4urq2e/JhpVKJvLw85OTksJ9cTpXLly8jMzNTx4Veu71cLgXOe6e2tlanUpK2qNZUAljO4L3XMORmnY2NjSGXy9l6dXV1rDKLdtUTzgDlxDNto4/LJcTdt9q5EsrLy3VENM6rgjMKtbfDiYnaIg8XFsPlKeKMYE4Uyc/Pb3S8uUTTvXr1Qp8+fWBrawtHR0eWfNrW1pYJse2FSqVCdnY27ty5g+zsbHaeufxGXO6ce0UBiUTCzm15eTl4PB7MzMyYaKntKdRSYbEp77h74UQQCwsLODs7s1DEAQMGoF+/fnr1IuAExvr6eiYmc6FM1dXVmDZtGguP69GjB3r06MGqgpWWlrKQOQ7t5zznjcMJE9qeQABY3qH7hSNyz3pu4UJPOQGGC8fiPNqaOw+cx6STkxM8PT3h4+MDFxcXyGQyZGVl4cqVK7h8+TIyMjJQUFDQ6D3GJevm9s89C+RyOROKRCIRhg4dCm9vbwB3Q1fOnDmjM7HBhdcEBwfDzMysjWetcykoKMDs2bNx4sQJREVFYfny5W3aTk5ODnr37o25c+di48aN7dzKzqW+vh79+/eHra0t4uPjO6RUswEDjyAGwcTAv4uoqCisXr0aSUlJ8PX11Xdz2sz8+fOxd+9epKSkPHTG/K1bt2Lp0qUYOXIkYmJi9F5Fpi0UFBTg5MmTOH78OMuFotFo4OLigtu3b8PBwQFKpVLHYOQGgtyMJQBYWlrCy8sLUqkUFRUVKCoqQmlpKUt4eS/cYNjIyIgZBZ6enjqJXD08PPQ2qFAqlcjJydFZsrOzkZqaipMnT6KkpIQZuhw2NjYsgaCbmxv76eXlBQcHh3Zt270ljLnqQdeuXWMD+PLycjbD/iA4A4TH48HX1xcODg6sMlJT1WksLCwgk8nYzDPXltLSUp0yy9pLRkYGUlJSmDt7dXX1fT1euHbdO2vMhTaYmpqyChyOjo6ws7ODo6Mjc53nPGu4XAg1NTUoKipCWVkZioqKUFhY2GTSSWtra1hZWcHOzo7lvJFKpUhJScHly5fZzLBUKtURJxQKBWxsbFieBm4WnxMmtPPzcIISF1pwvyS2XOiLQqFgglLPnj3h5eWFfv36ISAgAKampmx9jUaD27dvIzExEZcvX8a1a9dw69Yt5OXloays7L6GIndfch4JXNgD10ehUAgzMzOWV4bzeOK8brS90DgBR6VSQSwWs0pAPXv2RGlpKUu8zFUH0RYpOfHM1tYW1tbWMDc3Z2KlQqFgIYJclRwu0ebNmzeZdxB3D1RWVqKmpqaRtxp3rO6HqakpxGIxSktLIZFIEBQUBCsrK5ibm7OEt9plde/9jMsVcm+FHm4pLCxEXl4eMjMzcevWLSY4PWh4yQlb3PPTwcEBXl5e6NmzJzw9PWFjY6NT6repxLxtpb6+Hjdu3MCNGzeQmZnJknJnZmbi+vXrTBjgPGg0Gg1cXV0xbNgw9OjRAw4ODnBwcICjoyMLV9HXc76qqgppaWm4cOEC61NGRgZyc3PZ87M5D0WJRMJEdEtLSxgZGSEvLw9paWmor69nHkH3hgmJRCLY2dmhtLQUUqmUicnm5uYICwtDWFgYq4SnT5G9rRw5cgSzZs2CQqHATz/9hH79+j3U9mJiYjB//nwcOnQIw4YNa6dWdj6RkZH49NNPcfHixUaVgQwY6MYYBBMD/y5UKhWGDBkCkUiEEydOdBmPCm327duH8ePH4+eff8aUKVPaZZuJiYmYPn06VCoVfvjhBwQHB7fLdjuLyspKJCcns9KDR48eRUFBAfs/N5DlMu0PHjwYKpUKBw4cwLlz51jMdnOx4lzst4ODAzw8PODl5QVra2uoVCqdWV7u570GNJeYVXtp6jNzc3NWkpcz5DhX8PZIkJqdnY0PPvgA27dvR//+/bFhwwZWlSApKQmjRo3C5MmTYWtrq2NEcHk9jI2N4ebmBldXVzg7O7PqD5ybcUVFBVu0BQiuUox2FYaWCCD3ClK2trbo2bMn/P394e7uzoxP7ufChQvx119/4eTJk/Dy8nqoY3U/jh49igkTJmD48OH46aefIBKJWHlhrgwsl+empqYGpaWlqK2tRXl5ObKyspCfn4+8vDwUFhaivLycVc1pbe6XzoALieCuSa4qC2fMclVvLCwsGlVgUqvVqK6uRk5ODrKyslhiY+73vLw8nRwW3LVORKwyD4dMJoOrq6tOckxnZ2c4OTnB2toaRkZGqKurY0l5uYom3LHnjHsuWSWXQLelYpw+0D7uZmZmrMIKV+WLS/RsZGSkEzLEecoYGRlBoVDg6tWrCA8Ph4ODA/76668OLf+5fv16vPnmm9izZw+GDh2qI6wUFRXh0qVLuHLlCm7fvo3CwkLmqdHSa9/IyIh5G3FiiomJCRN/uM+4a7W+vp4lac7OzkZWVhYyMjKQlZXFzrudnR0Th93d3bF7927Y2dlh9+7dLMfX119/jVWrVkGj0eDdd9/F4sWLH7pKC5eAm0tky3m9cImeOW8WrkpNc4u2SAcAFhYWjbzarKysUFtbizt37iA1NRU3b95kFbCaEx2JCCKRCK6urhgxYgQCAwNRWFiIY8eO4cyZM6ioqGChQtx97O7uzoSSwMBABAUFdSnBhIiwbt06vPPOO5gwYQK+/vrrdvOImTx5Mi5cuIDk5ORGCba7ApcuXcKAAQOwbt26NnvbGDDQRTEIJgb+fVy8eBEDBgzAxo0bsXjxYn03p1WUlZWhT58+GD58OHbu3Nmu2y4uLsacOXPw999/48MPP8Qbb7zxSLpbNjQ04MKFCzh79ixb0tLSQERwcXFBUFAQBg0ahIEDB4LH42HYsGGs9GVCQgKys7Mb5e3gBBGucg7nig/c9TqxtbWFRCJBTU0NcnNzWUy8VCqFp6cnPDw84OnpyRbOICksLERJSUmzA917B8ItcYfnZlm5JK3aFRuaQ6FQ4Pbt27h9+zZLaMiF2WjH+BcWFqK2tlZnMHdvxY3m0J4t5gQhbuaxurqaGU1N5UyRyWRwcnKCt7c3AgICEBISAm9vbzg7O7f4GnzzzTfx2WefYf/+/Xjsscda9J2H4cSJExg3bhxCQkKwZ88eyGQy1NbWsjLPBQUFrPRzYWEhC5FpSlQTi8VMfOLc+oG713pJSQkLs9FoNBAIBHB2dkaPHj3g4uICc3NzViUkKysLaWlpyM3NZaFeLi4uLKkrlxi2qKgI169fZ9cbJzhwnj7W1taYMmUKVqxY0WbhqaamBjdv3sSdO3fYwv3NVYHiwnG4EBFtwYQTmLSNQXNzczg7O8PV1ZVVEHF2doaLiwtcXV1hb2/fJlFRrVbj119/xZdffonjx49DrVbDxsYGIpEIRUVFOoJhz549YWZmxmbdtUUw4O613KNHD3h5ecHKygpyuRxqtRo5OTm4c+cO0tPTUVJSwtblwne4sspcUmcuj5K28Av8P2NYWzzhStba2trC3t4e1tbWsLGxAZ/Px4ULFzBq1Ch4e3tj7969OtWtOoqXXnoJ33zzDY4cOYKgoKAWfaeurg6pqam4fPkyEhMTkZSUhBs3biA/P79JQUsqlTKRWSaTMZGNC5dpjRCmHX7I3UsODg4syS33PFSpVOy+lslk8PT0hEKhaCRY3AuXK6quro6FSz7IKw24e33cT1zXXjiPOaVSiTt37uD69etsuXHjhk6uEXt7e1haWkIgEKCyshLZ2dlQKpUQCoWwtLRkuUs4UVHbTODeOb169cITTzyB3NxcnDt3Dj/99BPOnz+PM2fO4OzZszh37hyqqqpgZGTEhJNBgwYhKCioQ6spPQxFRUWIiIhAfHw8PvzwQ6xcubJdt5+bm4vevXtj5syZ+Pzzz9t12x2NRqNBaGgoNBoNEhIS9F5h0YCBTsYgmBj4d7Jq1Sps2rQJFy9efCTK1bWUiIgIHDx4ECkpKR0yS6jRaLB27VpERkZi4sSJ2L59u46bvD6orKzEsWPHcPjwYSQkJOD8+fOoq6uDqakpgoKC2BIQEICKigr8888/OHz4MC5evIjr16/rzFLzeDyYmpqynA3A3XwoeXl5sLGxwbBhwxAeHo4JEyZALBbj/PnzSEpKwv/X3n2HRXVn/wN/zzA0BQYQEEGwEEGlSFGkGJQmYEM0GIyrJnGjMfnFRFPMrtkka9mvfrMmpmhWjZrmqhgboKIgioCAgCJFARXpIAy9SJv5/P7wuffLDKAo4JjkvJ6HRySZez8ch2HuuedzzvXr13H9+nX+IlNXVxcWFhYwMDCASCRCa2srJBIJ7t69i6amJgAPL4K5iztuDzz3YWZmBhMTk2533rgJJ1wfkq53HxsaGiCVSvlGtNxYzUeNPpXJZEhPT0dCQgI6OjpgZ2cHe3t76Onpyb3h4ZInEokE27dvxxtvvMFPkxKLxRCJRHxZP3dBzzVozMnJQWJiIq5cuYKcnByUl5fL9aXoWrXDJZgcHBzg4uICa2tr2Nra8ud/WgcOHMCKFStw4MABLF++vF/HUlRdXS1XtcAlRKqqqnDz5k1cvnyZbwjM/dtzdHR0+ItaY2Nj/iLXxMSE73nBbdd4nPb2dqSnp+P06dO4cuUKbt261e1ikhtVq6Ojw0+KKiwsRHt7OwQCAUaPHo0JEybA0tISu3btwgcffID169fLXUTfuHEDBw8exK+//ory8nK4ublh+fLlWLRoEX+nVSaToby8HIWFhXwCpLi4GIWFhfzn1dXV/DG1tLT4BIdikoOrEuntLnRdXV23Y3f9e1lZGR8DkUgEExMTuWMrnqvr3eLMzEz89NNP+O9//4uKigq4ublh2bJleOmll+ReXwsLC+Hv7w+xWAxbW1tkZ2fj1q1bcklVc3NzvnE0V9nStWpCU1MTJiYmsLGxwYsvvojZs2fD0tLysVWO7e3tqKys5JMyXXvUVFRUyCXluv7ccZNu6urqIBaL4efnx28jMTQ05JMqhoaG/FaMgdLR0YHZs2cjKysLycnJMDMze+pjMcb4bXA3btxAUlISMjIy+KSgIu6CftSoUZg0aRI8PDzg7OyMYcOGob29nZ/6VFdXx/ep6ZrA+Prrr/HgwQOsWrUKAOR6nAAPE4GVlZVISUlBfn4+jI2N4e3tjZEjR/b6PXBJF+71k2t4y23rU6wi5CqHuH5XnLq6OpSWlqKwsBAFBQUoKCiQ+7xrcs3U1BTm5ubQ1dXle3WVlpYiPz8fHR0d0NLSgp2dHRwdHeHg4AAHBwfY2NiguLgY0dHRCA8PR3R0NFpbWzFy5EiMGTMGMpmMr9RRTBINGzaM7/fl5+cHa2trPHjwACkpKXwSJTs7G52dnTA2NoazszNmzJgBT09P2NnZKb3aNyEhASEhIRCJRAgNDcWUKVMG5TwHDx7E0qVLERkZiZkzZw7KOQbDv//9b3zyySdIS0vr84QgQv5AKGFC/pza2trg6OiIESNGICoq6rmspFAUHh6OefPm4fjx4wgKChrUc126dAmLFy/G0KFDceTIkWc6irmlpQXx8fG4ePEiLl26hNTUVEilUlhbW2P69OlwdnaGk5MTGGOIj4/H+fPncf36dRQVFcm9gVZTU4O2tjbq6+uxceNG+Pv7w8bGptuEJJlMhmvXruHcuXM4d+4cEhMTIZPJ4OLigsDAQMyfPx+WlpYA/m/rD5dAycjIwM2bN/HgwQMIhUKMGTMG48aN4+8YcxdQ3N117uKVw1UVmJqaYuTIkRgxYgTMzc3ltjYYGho+cUkwYwxHjx7Fhg0bUFxcjLfeegt///vfYWBg8NjHvvTSS7h79y6uXbvW7eeio6MDeXl5SEtLQ0pKCuLj45GVlYXOzk65cZZCoZC/462hoYHa2lrcu3cPnZ2dEIvFcHJywpQpU/gPc3PzJ/r+uoqNjcXMmTPx0UcfYdOmTY/8f7tuC+J6f3BbN7hkCPc17uuKd6kVkyAqKioIDw+HiYkJNm3ahFGjRsHExITvGfK0ZDIZsrOz+cbGCQkJKCgoAABYWFjAxsYGBgYGkEqlKCgoQGZmJp+kUFVV5SfRaGpqYvz48XzVlb29PcrLyzFnzhwUFhb2GPvKykoUFxcjPDwcp0+fRnp6Ohhj0NfXh1AoRE1NDd/PQEVFBSNGjOCrPrgkRde/D+YWEK56g6ug4pIqRUVFfEKna5UU14C2paUFDQ0N0NPTw/Tp07FgwQI4OzvDzMysx+TBxo0bsXfvXly7dg3p6elIT0/nx54XFxfz1T/cmlRUVDB27FhYW1vDwMAA7e3tKC4uxrVr11BfXw9VVVU4OTnBzc0N06ZNg5ubW59Hw/emwXQrPAAAIABJREFUtraW3+p18eJFbN26FSNHjoSbmxtfsdJTcgV4uNXFwMCAT6Jwrz+KX+O2v+nq6j6yaWtDQ4PcHemnTbx3dHTgxo0bSE1NRUpKClJSUnDz5k1IpVLo6uryDUwbGhpQWlrKJ5C5CiCZTAZNTU3Y2NjA1dWV3yoyYcKEbhfpGRkZsLe3R0REBGbNmvXYtcXHx2P9+vVITExEcHAwNm/e/MQTXzo6OvjXH+7Prv2mSkpK+Ka+XUee6+np8Ql4Y2NjqKqq8scqLS3FzZs3+ef9iBEjYGNjg0mTJvEJEi5Z197ejtjYWJw8eRJhYWEoKSmBgYEBfH194efnBz8/PxgbG3dbd01NDVJSUvD9998jLCwMRkZGqKqq6vY7mKv69PHxga2tLVpaWpCSkoIrV64gNjYW1dXV0NfXx/Tp0+Hp6QlPT09YW1s/s/dkjDF88cUX2LBhAwICAvDjjz8O6usVAAQHByMlJQWZmZm/i6059+7dg62tLT7++GN88sknyl4OIcpACRPy55WUlIRp06Zh//79WLZsmbKX80jV1dWwsbFBQEAA9u/f/0zOWVVVhaVLl+LSpUvYtm0b1qxZMyhvYjo7O3Hjxg1ER0cjOjoacXFxaGtrw9ixY+Hj4wMXFxeYmpoiLy+PT46UlZXJvTHT0tKCpaUlXFxc4OvrC2dnZ5iYmOCf//wnDh8+zE/K6YuGhgb+DltERAQkEgkmTJjAJ0+cnZ3l4iCTyZCfn4/MzExkZ2cjMzMTWVlZuH37Nj/dwMLCAuPHj+cbGWppafGNZUtLS/ly/fLychQXF3e7eycSifgLGO4ihhsB2fVrw4YNQ1FREb744gukpqZi4cKF2Lp16xM1Z0tJSYGzszNOnz4NXV1dpKWlITU1FYmJibh79y5kMhlEIhE//lJVVRUTJkyAi4sL/2bc1ta228VUW1sbbty4gZSUFP7iJycnB1KpFMbGxvyFo7u7OxwdHeW2GXFl8k1NTWhtbUVDQwOam5uRk5ODdevWwcrKCkFBQfyWEm67U9ctT3V1dd326nNx7RpP7sKwt691Hf/LycnJgbe3d796RLS1tSEpKQlxcXH8CO36+npoa2vD0dERpqamEAqFqKqq4u+wAw8vhriLQCcnJ0ydOhVGRkZoaWlBRkYGn+BLT09HZmYmWlpa+L4kTk5O0NXVhYqKCv9c7LpVBvi/LSDc9pTS0lLo6upi1qxZePPNN+Hi4tLvXg6DraGhAaGhoTh06BDi4uLAGIOpqSnEYjGam5t7/J5NTU1hYmICVVVVvvdDXl4e//+YmJjA3t6e/3BwcICFhQUEAgE/zYn7SEpKgkQigYqKCqysrDBu3Dhoa2ujubkZt2/fxs2bNyGTyTBu3Dj+58DDw4NP1D6p2NhYzJkzB56enjh69GiPz9mGhgZUVlbKVU9xScOevtbTOF4NDQ2+nwiXROn6OWMMO3fuhIWFBf7nf/6H36bHNTTW0NDotkWouroaV65c4ROFqampaGtrg7a2NpycnDB58mQ+0TpmzJhuayovL+cT2tzrTGlpKQDwTYwZYxg6dCjs7e3h4uLCJ3A//fRTvpLlSX7XRUdHY+3atcjNzcXChQvx5ptvQigU8vGrqqqSS4p0TdD2VCFoaGgIExMTjBw5kn8empqa8g3K6+rqUFRUhLy8PH4LHvCwV5aNjQ1fucf9qdjIvbGxEWfPnsXJkydx9uxZ1NXVwd7eHoGBgZg9ezacnJz6XPGRkJCAadOmobi4GMOHD0dOTg4uX76MmJgY/kaGYqXVuHHj4OrqyidjMjMzER0djQsXLqCmpgaGhoaYOnUqpk2bBh8fHzg6Og7Kew+JRIJXX30V586dw4YNG57ZpECJRAJra2vMnz8fu3fvHvTz9QdjDDNnzkRlZSVSU1O73XAi5E+CEibkz23NmjU4ePAgbt682e+7e4MpJCQEcXFxyMrK6vf2hSfBGMM333yDDz/8ELNmzcKBAwcG5Pw3b95EREQEIiMjkZiYiNbWVlhYWMDT0xOTJk2CSCRCbGwsrl69iqKiIrm7/EOGDIGlpSXc3Nzg5+eHyZMn9zq9ZdWqVbhz5w4uXLjwVOuUSqVITExEREQETp48idzcXBgaGsLf3x/BwcGYOXNmjxcjwMNSbm5Pfk5ODj+KOC8vjy/x1tPTw7hx42BlZQVLS0t+Is2IESMgFApRXV2NyspKuTfZ3OeKlRC97YlXVVWFlpYWtLS0oK6uDrFYzG+p0dPT4/fvq6ur86X/aWlp/ASSrpM4uGoCS0tLfosDt9auFPfo19fX8wkurgye+5zbalBeXs6XyQuFQrmxsI9qCCkQCPjJN71dvPV0McdNCRkoeXl58PHxgYGBAc6fP//Yah6pVIr09HRER0cjPj4esbGxaGxsxPDhw2Fubs5fUN+7dw+VlZUQCAQYN24cHB0d4eTkBEdHRzg6OvLVR/X19fw2DW7kLPdnSUkJn5DrWuGkqqrKj5Ll7gbb2Nhg6tSp8PLygo2NTbdqi9u3b+PgwYPYv38/SktL4eXlhaVLlyI4OFipY2J7UlZWhl9++QV79uxBfn4+nJycsHLlSn76RVf379/HlStXcPnyZaSlpSE3NxdVVVVgjEEkEoExJvc8FIvFGDlyJMzMzGBsbMz3IlH8k5vAk5+fj7S0NFy7do3/k5tSNW7cOJibm0NNTQ11dXXIzMxEfX09hg8fDg8PD/j4+MDHx6dP20fPnj2LhQsXIjAwEL/88suAJbPa29v5156uycjHfS6RSLptVVPEjd/lxkkDD8fWcv2jzMzMMGzYMH5iTddqFe61jNPTJJ2Wlha5Pjp37tzhqy+6JlGAh1V/L7zwAkaOHAkDAwN0dHSgtraW7z/CNaltampCU1MT2traekwmdV2PkZERn9jumtxWrOTR0dFBU1MTioqK+Ibbubm5yM3N5bfSAOCnCVlaWsLS0pKfyPaorU8SiQRnzpzB0aNHERUVhc7OTri4uGDu3LkICgp66uTcvXv3MHbsWCQlJWHq1Knd/ntnZydu3ryJK1euICoqiq/I6vqzNHToUIwfPx7Tpk3DqFGjUFdXh5SUFMTFxaGpqQkjRoyAl5cXZs+eDX9//wF53b569SpefvllSKVSHDp0CO7u7v0+5pM4efIkFixYgNOnTyMgIOCZnvtJ7N69G2+//TaSkpIwefJkZS+HEGWhhAn5c2tuboadnR0mT56MI0eOKHs5PTp16hSCgoKU+os1NjYWr7zyCkQiEQ4fPgxXV9cnenx7ezsuX77MV23k5+fDyMgIfn5+sLCwQENDA5KSknDt2jW5C22uOsPFxQXz5s3D1KlTn2i07dy5c6Gnp4eff/75idbbm4yMDJw6dQonT57EtWvXIBaLMX/+fISEhMDHx6fPFyfc3WruIycnB3fu3EFhYSH/pnjIkCFyY325P0eNGgVTU1P+gry4uBibN2/Gvn37YG1tjdWrV8POzq7HN/dcdQbXvLagoAAVFRWQSCR83Lv2HBGJRNDU1IS6ujqfGOpaFt4bbq8+h9ujD6DbBQ+3n19HR4dvEstVMnCTVAQCASwsLODg4IDJkydjxowZePvtt1FVVYXk5OR+j9YeKIWFhfD29oaamhqio6O7PVdv3LiB8+fP4+LFi/zFwPDhwzF27FioqqqirKwMd+/eBQBYWVnxWwdGjhwJPT091NfXy01j6pog6VqVpKamBiMjI/6i3dzcnL9jraqqipCQEERGRsLPzw+dnZ3IyMhAYmIikpOTkZSUhNu3b0MgEMDKygouLi5wcXGBq6srrK2t+W0nHR0diIiIwL59+xAZGQl9fX0sW7YMb7zxxqBOKHocqVSKiIgI7N27l1/X0qVLsWLFCrlR8g0NDUhOTpb7vmtqaqChoQEnJye579vU1BQAsGjRIhQUFOCzzz5DSUkJysrK+Ocol5ySSCRy6+G2pnH/Fl1HRzPGUFlZiXv37iEjIwOpqamorq7GkCFDYGVlBbFYjNraWuTm5qK1tRVjxoyBp6cnvL29MXPmzG5JuYiICLz00ksIDg7Gjz/++Nw0Zjx69ChCQkLw2WefwcfHB3FxcUhISEBycjIqKyshFArlkk8jRoxAe3s738epa3VY14Qr8H8NVYGHCX7F8dq9EYvFaG1tRVtbG9ra2uSam3KvgVw/FK73kLm5OYyMjKCurs5XyXBJaC7prKmpiWPHjmHfvn1QVVXFhx9+iPfeew/q6uro6Ojgqwjv3bvHTyLjPi8pKeETy7q6uhg7diwsLS1hZWUllyDp6zaOqqoqHD16FIcOHcKVK1egqakJPz8/vpJEsfLkabS1tfHfc1+3Cnd2diI7OxsJCQmIiopCSkoKysrK5CoAdXR04OjoCBsbG8hkMty6dQtxcXEAgGnTpmHOnDmYM2fOE7/WdL0J5O/v/0y24PTm5ZdfRkJCAjIzM5/pjbC+Kisrg7W1NVauXIlt27YpezmEKBMlTAiJiYmBj4/PE/3Cf1YkEglsbGwwb9487NmzR6lrqaqqwvLlyxEVFdWnKTrV1dWIiYlBeHg4wsLCUF9fj9GjR8PGxgatra24c+eOXN8Rrnv/1KlTMWvWLLi5uWH8+PH9KpF1dHTEzJkzsXXr1qc+Rm+Kiopw4sQJHD58GMnJyTAwMEBwcDBCQkLg7u7+VOuWSqUoKSnp8c30vXv3+NJr4P8mO9TX10NTUxMeHh6YNWsWzM3N+YsybtKHTCZDRkYGLly4wPdpaWpqkqse0dfXh7u7O1588UU4Oztj7dq1eOGFFxAaGjpgMXsaFRUViIuLw8WLF3HhwgXk5eVBKBRCKBTizTffxCuvvIIpU6Y8N9tCysvL4ePjA6lUimPHjuHmzZuIjIxEZGQkysrKoKuri5EjR0Imk6GiogI1NTUQCoV8fwgNDQ1IpVLU1tbKJbKAh//m3MV216axilUNj0og7dq1Cx9//DEkEkmvjVbr6+v5HjXcqO7a2lpoaWnBxcWFr3hwcHCAUChESUkJDhw4gP3796OwsBBeXl546623MG/evGf271JRUYEffvgBe/bsQWlpKXx8fPDXv/4VgYGBUFNTQ3NzMxITE/mKnqtXr6Kjo4Pf0sRtB5s8eXKvvWcOHjyI1157DVVVVb325Ghra+MbY3KJlPv37/OVVCUlJfykla7EYjGGDx8OLS0tfkoQVz3G9Y8ZNmwYX5Ulk8kwefJk+Pv7w9/fHwUFBVi+fDlWrFiBnTt3Kr2JJqe6uhoXL17Ev//9byQnJwN4mCR1dXWFt7c3pk+fjilTpvRaqfcsVFZWYvTo0fj4448xYcIEXL16FTExMcjMzERHRwdUVFQglUohEAhgbm4OLy8v+Pr6wsvLi69MbWpq4idhcVNqwsPDkZ6eDhUVFWhqaqKxsZH/faeuro5Ro0bJJcO7fjztRXx9fT1OnjyJQ4cO4cKFC9DQ0MC8efPw8ssvw9fXd1CqwAwNDfH555/3a+pgc3MzUlNT+a05mZmZcomxIUOGYMKECXjhhRfQ0dGBK1euoKKigt+6O2fOHPj5+T1yhLFEIsGyZcsQFRX1TLfgPGo9NjY2mD17Nvbt26e0dfQmKCgI2dnZuHHjxnNXPUjIM0YJE0IA4LXXXsO5c+eQnZ39XGX6g4ODkZSUhMzMzCdu/DkYut6dCQgIwIEDB+Te2OXn5/NVJJcuXYKKigpf6ss1I+RoaGjA0tISM2bMQGBgIKZMmTLgDdCMjY3x97//HWvWrBnQ4yrikidHjx5FQkICRo4ciQULFiA4OBju7u4Dtv/6wYMHuHXrFr799lscOXIEQqEQDg4OEIvFKCkpQWlpabc73F2bH3a9c2pkZARHR0dMnjwZL774Iuzs7KCvr89Xghw5cgRLlizBrVu3nriR4WBas2YNdu3aBU9PT9y6dQulpaXQ1tbGjBkzEBAQgICAAIwePXpQ18BNKVL8qK2tRXZ2Nj8VorOzEwKBgN/S0dOY0yFDhvBNZLk+KUZGRvzfjY2NYWJiAmNj4z417X2cuXPnQiQS4cSJE31+jFQqRXZ2Nj+t6vLly5BIJNDX14eHhwc/7cLa2hoXL17Enj17cOLECRgaGmLZsmV4++23+zUp5VHS0tKwZ88e/Pzzz9DQ0MCiRYvw3nvvwczMDPHx8bh06RIuXbqEtLQ0SKVSTJw4EZ6enpgxYwbc3d17bGjZG4lEguHDh+PYsWOYP39+v9bd0dEhl0jhRgh37RvCJVYkEkm3545AIOArSLj/pq+vjxkzZmDKlCn8RCCxWMxvR+NGNw+mzs5OJCYm4syZMzh37hzfD8TR0REdHR3Izc3FxYsXe9y+oSyffPIJ/vOf/6CwsJCvjGtqasL9+/eRkJCApKQkJCcnIycnp1uFHZcQ7Prvo6qqihEjRsDMzAx6enrIz8/HrVu3MGbMGLz99tsICQmBsbHxgF2st7a2IioqCkePHsXx48fR2dkJX19fBAcHY8GCBYP+bz5p0iTMmTMHW7ZsGdDjFhQUID4+HqdPn0ZiYiLfXBl4GHcuOdzU1ITbt29j6NCh8PT0xNy5czFv3jy5n+3Lly/jlVdegYqKCg4dOgQ3N7cBXevTCgsLQ2BgIE6cONHv15SBdOjQISxZsgRRUVHw9vZW9nIIUTZKmBACPLwrY21tDX9/f/zwww/KXg4A4L///S/+8pe/4OzZs/Dz81P2cuRwbz6EQiE+/fRT5OTk4NixYygoKICOjg6GDBnCb/3g6OnpwcnJCfPmzYO/v/+gX4R3dHRAQ0MDR44cwUsvvTSo5+oqKysLhw8fxuHDh3H37l1YWVkhJCQES5cufaLmq4paWlqwa9cubNu2DR0dHVi3bh3Wrl3LJ5kqKytx6dIlHDp0CBcvXkR9fT2fIFFRUcGwYcOgp6cHoVCIlpYWVFVV9bi9Rltbm5+EkZeXB2NjY3h4ePAl6GKxGDo6OvzftbS0oKenB4FAwI+w5EYRD3QC7KeffsKrr76K77//Hm+++SaAhw1XY2JiEBUVhejoaDQ1NWHixImYNWsWAgICYG9vD4FAwI9hrq+v55vIcn0JFEc419fXo6mpiU+EcM1kuY/eRjlz8RYKhRAIBPw+fV1dXVhaWsLOzg7Ozs6YMmUK31D2Wd5Zb2trg4GBAbZv346VK1f261j5+fl8o+aYmBhUV1dDW1sbU6dOhY+PD+zs7JCUlITvv/8eNTU1CAgIwLvvvgtvb+9+JxAbGxtx6NAh7Ny5ExkZGXBycsKrr76K8ePHIy0trcfm0e7u7vDy8nrk+Ne+mDp1Kuzt7Z95s8b6+nq+ciUpKYmfFnP37l0+McdVQnBJ0Z7e3olEIj55IhaL5fr7cAkVDQ2NbqNuudcOsVjM90XittM1NzfjwoULOHPmDKKiolBbWwsLCwsEBATA29sbM2bMgK6uLjo6OhAQEIBbt24hOTm53/8WXXEj1rmfbW7rTnt7OxobG1FfX4+GhgY0NTXxDaS5htCnTp3CiBEjMHToUNTU1KCmpkau1w/HwMAAurq6UFVVRXt7OyQSCRoaGuS28pibm2Pu3LkIDAzEtGnT+GqljIwMfPLJJwgPD4ebmxs2b94MT0/Pfn2/UVFROHjwIE6dOoWWlhZ4eXlh8eLFCAoKeqY3WGbNmoXhw4fjwIEDg3qe1tZWpKSk4Pjx44iOjkZubi6/hZV7bqqrq0MikYAxhhdffBELFy5EbW0tNm3a1ONNnufBX/7yF8TExCArK+u5WFt1dTUmTpyIhQsXYteuXcpeDiHPA0qYEML57bffsGjRIkRGRmLmzJlKXUtVVRWsra0RHByMnTt3KnUtihhjSE5Oxi+//IL9+/ejtbUVqqqqEAqF/KQJgUAAY2NjuLq6YsGCBfD29n6iO7kDobi4GObm5khISFDa3aTk5GQcPnwYoaGhKC8vx/Tp07FixQosXLiwzyWuHR0dOHDgAP75z3+ivr4eK1aswIYNGyAWi3Hx4kUcPHgQMTExKCsr4x+jpqYGOzs7BAUFwcPDA87Ozj2WKre2tvIXCD19cJMqZsyYgY6ODjQ2NqKhoQH19fVobGzs8aJCEXdxBYDf58/hLsb6oqmpCXl5eRCLxb2+qWSM8RN0uKa1fcGtS1tbm7+gHDp0qNyFZNc79ZqamsjPz0dCQgJiY2Px4MEDaGpqorW1lb+bPn36dDg4OOCrr75CSUkJoqKiYGtr26f1DJaoqCjMnDkTBQUFGDVq1IAdVyaT4caNG/wo8MuXL6O+vh5GRkbw8vKCrq4uUlJSkJaWBhsbG7z33ntYsmTJE49dzs/Px7fffov9+/ejs7MTM2fOxMiRI5GZmYnExES0t7fzVWtc1ctAv+58/vnn2LdvH4qLiwf0uE9j586deOedd7B69WrY2toiISEB0dHRqKiogJqaGoRCIVpbW2FsbIwXX3wR9vb2MDc35xMIig1a6+rq0NzcjAcPHvC9QRoaGh7ZdLkrkUgENTU16Ovr97o1QiaToaysDCKRCFZWVn2usuCSmhxuXTKZ7JFNV7vikrza2trQ1taGnp4eKioqkJOTg9dffx0mJibQ19eX+9DT0+M/72mtTU1NSEpKQlhYGM6fP4/bt2/zVRBchWVQUBCWLl2K8ePH4+rVq9i0aRMiIiLg7u6OLVu2YPr06X1aP/CwyeqBAwdw4MABlJaWwtXVFYsXL0ZwcLDSGtf/9a9/RVFREc6fP/9MzyuTyZCZmYmwsDCcOXMGmZmZfEN1gUDAvybLZDKMHTsWa9euxUsvvfTM34s8Tl1dHWxtbeHp6Tlg/db6Y8mSJbh06RKys7Ofi8pmQp4DlDAhpKuFCxfi2rVryMzMHPQy1r6sIyMjY8Dv0j+t69ev49dff8Wvv/6KyspKiEQiuTJkTU1NzJ49G8uWLcOMGTOUvu6kpCS4uroO+MXh05DJZIiJicGePXtw6tQpaGho8FUn06ZN6/Uxx44dw9/+9jcUFxfj1VdfxerVqxEWFobffvsNt27d4uOvqakJBwcHzJ8/H76+vrCzsxuQcu+2tjaMGTMGy5Yt67EPDFeV0bVqo+udXe6ii3sT29jYKPec4SZVPE5dXR1+/vlnmJubY+nSpY/si8E1nOV6BuTk5ODGjRtITU1FS0sLXnjhBcyZMwchISGwtbXtNgWmN9XV1Thx4gR+/vlnXLlyhZ8a1NnZCXNzc/j7+8PHxwdeXl5yzRSbm5sxd+5cZGVlISoqCpMmTerT+QbDunXrcP78eWRlZQ3qeaRSKa5fv46YmBhERkYiISEBnZ2dmDhxIlRUVHDz5k3o6upi9erVWL169WMvYOLi4rBjxw6cOnUK+vr6GDNmDIqKilBRUQEjIyP4+/vD19cXnp6efIPWwZKcnAwXFxdkZWXB2tp6UM/1KNu2bcPf/vY3bN++HWvXrpX7b1z1T1RUFCIjI9HU1MRXn+jo6CAwMBCvvfYaPDw8+pywlEgkSE5OxtGjRxEZGYn79+9DX1+fHyVuY2PDT7R63M91eXk59u7dixEjRmDhwoV9qjjiejZxuiZfe6pwU1FRgY6ODl/p1tNW246ODlhYWCA4OBjbt2/vUxwep7GxEfHx8QgLC0NUVBTu3bvHJ1B0dHQwbdo0vPbaazAwMMDGjRtx8eJF+Pj4YOvWrXBycurxmG1tbQgLC8PPP/+Ms2fPwtDQEIsWLcIbb7wBGxubAVl3f3z66ac4fvz4oL+u9MXdu3dx9uxZHDhwAOnp6XI90riqq8mTJ+P111/HokWLnouKDuBhw+a5c+fi2LFjWLBggdLWcebMGcyePRsnT55EYGCg0tZByHNmPxghhFdeXs709PTY2rVrlbaGn376iQmFQnbx4kWlrYFTWFjI3nrrLaavr88AyH3o6ekxPz8/dvjwYRYXF8fGjBnDzMzMWHx8vLKXzRhj7NixY0wgELDW1lZlL0VOTU0N2717N5s0aRIDwCZMmMC2bt3KKisrGWOMyWQyFhoayiwtLZmqqirz8vJis2bNYkZGRnzsRSIRs7OzY5s2bWKZmZlMJpMN2nr/9a9/MR0dHVZbWzto53gUiUTCLC0tmZOTE2tubn7q47S0tLCIiAi2YsUKZmhoyAAwGxsb9sknn7C0tLQeH1NdXc2+/PJLZm9vz4RCIRMIBAwA09bWZoGBgWz37t0sPz//sedubm5mvr6+TFdXlyUmJj7199Bf48ePZx988MEzP29zczOLiopia9asYaNGjWIA2JAhQ5impiYTiURszpw5LCkpSe4x7e3tLDQ0lDk4ODAATEdHh4lEIqaiosKcnJzY+vXrWVxcHJNKpc/0e5FKpczIyIh98cUXz/S8XW3dupUJBAL2zTffPPb/7ezsZKmpqWzr1q3M1dWVqaio8K8jmpqazM/Pj50+fZp1dnZ2e2xzczM7fvw4W7p0KdPT02MAmKOjI9u0aRPLyMjo1/cQHx/PNDQ02Lp16/p1nP744YcfmKqqKissLBy0czQ1NbFz586x119/nZmamvKvIUKhkI0ePZrNnTuX2draMoFAwObMmcPS09P5x2ZlZbH169czAwMDpqKiwnx8fFhoaChrb28ftPU+je+//57p6ekpexmMsYe/P7du3cpUVFRYYGAgy83NZd9++y3z8vJiurq6cu9hBAIBs7S0ZHv37mUPHjxQ9tLZ8uXLmaGhIbt//75Szl9fX8/MzMzYkiVLlHJ+Qp5j+6jChPzuVVRU9NhM8WmFhobio48+wvnz5/mGpc9KU1MTXF1dERQUhI0bNw7YccVicZ8rPrKysvDhhx8iLi6OrwwAwE/ICAkJweLFi/m7fVz8a2pqsG7dOsTGxuKrr75SegOzH3/8ETt27EB6erpS1wH0Hv/ExETs27cPoaGhaG9v5ytiCgsLoaWlhZaWFn46g4mJCXx8fLBixQq4ubnxd4YH+vmvqKGhAVOnTsW6devwxhtvDNp5erN8+XLk5eUhPDwAvctfAAANaklEQVT8qZueKsZfKpUiLi4OJ06cwMmTJ1FUVITRo0cjKCgIbm5uiI2NRXh4OIqKivgeMBMnTkRwcDBmz54Ne3t7voKnr/FvbW3FqlWrkJKSgvPnzw9o/4a+KCkpgaurKw4fPgx3d/dnem7F+GdnZ+Ps2bM4c+YM4uLi+PiNHj0aixcvRkFBAd+XAXjYzHTu3LkICAiAr6+v3F3hwX7+9+Sdd95BVVUVDh8+/EzPCwB79+7Fli1b8MUXXyA4OLhPj+ka/8bGRsTGxuK3337D2bNnUVlZCeBhZZajoyN/1z0sLAyRkZFobW2Fu7s7goKCEBQU1K2hcn/if+rUKbzzzjv4/vvvMXv27Kc6Rn9wvXa+/PLLQT1P1/jX1dXh2LFj+PXXX5GamspPgtHU1ISKigqam5sxadIktLe34+bNmxg/fjxef/11LF26tMdKLGU8/xVFRUXh9ddfR25ubp8r9gYDYwzLly9HQkIC/vGPf+DVV18FIB//27dv44cffkBERARyc3P57Wbc79glS5Zg48aNfe4tNZDxb2hogI+PDzw9PZUyxnfLli04evQoYmJiBrTy5knefxLynKIKE/L7Z2Fh0a36gT7kP7Zs2fLIGMbHxzMPDw+mpqbGP0ZFRYVZWlqyzZs3M4lEQvEfxPh/8803TEtLS+4x6urqzN3dne3du5e1tLRQ/Acp/jKZjIWHhzNHR0cmEonk4u/h4cHCwsIeefeR4t+/+Dc2NrJffvmFTZgwgb/7zsU/ODiYpaSkPLKCiuLfv/iXlZWxLVu2sNGjR8vFX1tbmy1ZsoQVFRX1+liKf//jf+fOHfb+++93iz8ANm7cuMdW8lD8+xf/5ORk9sorr7Bhw4bJxX/YsGHs//2//8eqqqoo/oMYf0J+J/b1vhGckN+RVatWYdmyZcpexnNp0aJF3b7GGMPx48exfft2pKam8p3m1dXV4enpiS+//BL29vZ9PgfFv3c9xR942Jdhw4YNSExM5O9QGRoawsfHByKRCCdPnsSNGzeQlpYGNzc3TJw4sddzUPx711v879y5g2+//RahoaGoqKgA8DD+M2bMgLGxMU6fPs2Pz83IyMArr7yCMWPG9Hgsin/veos/1xNm//79SE5Ohkwmw5AhQ+Di4gKJRILMzEwcPXoUZ86cQXBwMJYsWQJPT88ee25Q/HvXW/ylUikuXbqEgwcP4vjx42hqaoK3tzesra2RlpaGq1ev4uDBgzh8+DAmTZqE1atXIyQkpMfeXhT/3vUWf+DhKOL09HSkpqaioKAAEyZMwPTp05Gbm4srV67g9u3bsLOzg7a2NpYtW4bPPvsMhoaG3Y5D8e/do+IPAM7Ozjh48CD/9507d2L79u0oKCjAd999h++++w66urqYP38+/vGPf2Ds2LHdjkHx793j4k/I74ayUzaE9JeFhQVlsB+ha3wyMjLYwoULmbq6Op/9V1FRYc7Ozt16CDzN8Ul3XeNTWlrK3n//fSYWi/n4q6mpsdmzZ7OSkhK5xzU0NLDdu3cza2trBoC5u7uz0NBQ1tHR0evxSXdd41NXV8d2797Nxo8fz8dfW1ubvfzyyyw7O7vbY1NTU9maNWvY8OHDGQDm5OTEdu/eLVfxQ/F/tK7xkUqlLCoqii1dupSpq6szoVDIADBzc3P2n//8R+65ff/+ffbuu++yIUOG8H03jIyM2Pr161leXl6PxyfdKcantLSUbd26lY0ePZoBYBMnTmRbt25lZWVlco+TSqXs2LFjzN3dna+8UlFRYTNmzGCnTp3ie55Q/B+tp/jU1tayHTt2sFGjRjGhUMh8fHxYWFhYt0qqxMRENnnyZLnKBzMzM7Z9+3a+nxPF/9GeNj7t7e1sx44dzMzMTK5awsjIiH300Uesvr6+X8f/s6D4kD+Iff0fo0AIea7JZDKcPn0ahoaGsLOzw7Fjx9DW1gYrKyscOXIELS0tSE5OxtSpU5W91D8kxhgSExNhaWkJU1NTbN++HfX19TAxMcGJEyfQ1taGiIiIbtM9tLW1sXLlSmRmZiIqKgomJiZYvHgxRo0ahc8//xzV1dVK+o5+f/Ly8jBr1iwYGBhg1apVuH37Nnx9fREXF4eGhgYcPny4xwoeJycnfP311ygpKUF4eDhMTU3x1ltvwdzcHB988AFyc3OV8N38/lRXV2PDhg0wNzfHzJkzcfLkSbS1tcHZ2RlhYWEoKCjAqlWr5KYfGRkZYceOHbh//z62b98OExMTVFVV4euvv4aVlRU8PDzw448/8lMwSO9kMhnCw8Mxd+5cmJub48svv0RwcDBycnKQnZ2N9evXY8SIEXKPEQqFWLBgAeLj41FbW4tvv/0WZmZmuHTpEgIDA2FkZISPPvqIr04kj3f9+nWsWrUKpqam+PTTTxEYGIg7d+4gKioKc+fO7TYtyMXFBSkpKXjw4AE+/vhjqKuro7i4GO+//z50dXXh7++PBw8eKOm7+WNTVVXFu+++i6KiIpSWluLDDz/E0KFDUVlZif/93/+Frq4u7O3t+R40hJA/OGWnbAjpL8pgPxo3lQIAU1VVZa+99hq7devWgB2f4v9oXPy5KSsWFhYsNDT0qSbb5OXlsXfffZeJxWI2ZMgQ9sYbbzBzc3OK/yOMGTOGv0M7fPhwtnnzZlZTU/PUxyspKWEbN25k5ubmTCAQMD09PYr/I4wZM4aJRCImFouZWCxmQqGQzZkzhyUnJz/RcbipOU5OTgwAMzAwYKqqqkxbW5vi/whjx45lenp6TCAQMG9vb3bkyBHW1tb21Me7fv06W7RoEVNTU2MCgYCpq6tT/B/BwsKCLV68mLm7uzPg4WSu3bt3s6ampic+VlNTE9u8eTPT1NTkq65UVVUp/o8wkO9POjs72fHjx9mUKVMY8HDKjoqKCsX/Eej9IfmDoAoTQv7oRCIRnJ2dsWvXLtTU1GD//v0YP368spf1pyESiWBiYgIrKyscPXoUt2/fRnBwcLe7iX0xbtw47NixAyUlJfjqq6+QmJhId3gfQygUwtfXFzExMSgvL8eGDRugp6f31MczNTXFP/7xD9y7dw8REREYOnToAK72j0coFGLs2LHo7OzE8uXLcffuXYSHh8PZ2fmJjqOqqorg4GCkpKTgzJkzsLW1RUdHh1KncvweCAQC+Pr6Ii8vD9HR0Vi0aBHU1NSe+nj29vY4cuQIJBIJvvvuuwGdpvFHlZmZCU1NTYSFhSEjIwMrV658qteNoUOHYsOGDSgtLcVHH32EIUOGQEdHZxBWTHqioqKCoKAgXL16Fbdu3cLq1at77ClDCPnjoYQJIX8CgYGBWL16dY8N+8jgW758ObKysrBw4cKnSpQo0tLSwsqVK5GRkUEXjH0wffp0eHp6DkjsOUKhELNmzerz+Mk/s3nz5qGwsBBff/11t7G0T0ogECAgIAAxMTG4du0avab1waRJk/DCCy8M6DG1tbXx1ltv0etPH4SEhPS67eZp6Onp4V//+hfu3bsHXV3dAVgheVLjx4/Hzp07KWFOyJ8EJUwIIWSQaWlpQSgc+JfbgUwAEDJY9PT0MGzYsAE/roODw4Afk5CBNliv00ZGRoNyXEIIIfIoYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCigBImhBBCCCGEEEIIIQooYUIIIYQQQgghhBCiQKTsBRAyEBoaGlBSUqLsZTyXpFLpoJ+D4t87ir9yUfyVi+KvXBR/5aL4KxfFX7meRfwJeRYoYUL+ELZt24Zt27Ypexl/WhR/5aL4KxfFX7ko/spF8Vcuir9yUfwJ+eMTMMaYshdBSH9cv34dDx48UPYynmujRo2CqanpoByb4v94FH/lovgrF8VfuSj+ykXxVy6Kv3INZvwJeUb2U8KEEEIIIYQQQgghRN5+avpKCCGEEEIIIYQQooASJoQQQgghhBBCCCEKRADylb0IQgghhBBCCCGEkOdI1f8HQfogRtdNdkwAAAAASUVORK5CYII=",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tasks[0][\"ttbar__nominal\"][\"4j2b\"].visualize(optimize_graph=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "818fca3c-6e3e-42f8-a917-c843822b1f72",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                ttbar__nominal 4j1b 372\n",
      "              ttbar__scaledown 4j1b 86\n",
      "                ttbar__scaleup 4j1b 86\n",
      "                 ttbar__ME_var 4j1b 86\n",
      "                 ttbar__PS_var 4j1b 86\n",
      "    single_top_s_chan__nominal 4j1b 372\n",
      "    single_top_t_chan__nominal 4j1b 372\n",
      "        single_top_tW__nominal 4j1b 372\n",
      "                wjets__nominal 4j1b 419\n",
      "                ttbar__nominal 4j2b 537\n",
      "              ttbar__scaledown 4j2b 109\n",
      "                ttbar__scaleup 4j2b 109\n",
      "                 ttbar__ME_var 4j2b 109\n",
      "                 ttbar__PS_var 4j2b 109\n",
      "    single_top_s_chan__nominal 4j2b 537\n",
      "    single_top_t_chan__nominal 4j2b 537\n",
      "        single_top_tW__nominal 4j2b 537\n",
      "                wjets__nominal 4j2b 608\n"
     ]
    }
   ],
   "source": [
    "# \"100 layers is a large task graph\" on IRIS-HEP Slack, 100 layers happen quickly!\n",
    "for region in [\"4j1b\", \"4j2b\"]:\n",
    "    for process, task in tasks[0].items():\n",
    "        print(f\"{process:>30} {region} {len(task[region].dask.layers)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fc04c78a-926f-47fb-956c-ef2355213514",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'from-uproot-9b50c9116a17905763e584d63c8ffdd9': frozenset({'Electron_cutBased',\n",
       "            'Electron_eta',\n",
       "            'Electron_pt',\n",
       "            'Electron_sip3d',\n",
       "            'Jet_btagCSVV2',\n",
       "            'Jet_eta',\n",
       "            'Jet_jetId',\n",
       "            'Jet_mass',\n",
       "            'Jet_phi',\n",
       "            'Jet_pt',\n",
       "            'Muon_eta',\n",
       "            'Muon_pfRelIso04_all',\n",
       "            'Muon_pt',\n",
       "            'Muon_sip3d',\n",
       "            'Muon_tightId',\n",
       "            'nElectron',\n",
       "            'nJet',\n",
       "            'nMuon'})}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# columns getting read for a given task\n",
    "dak.necessary_columns(tasks[0][\"ttbar__nominal\"][\"4j2b\"])"
   ]
  }
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