{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## MOD Jet Substructure Demo\n", "[Patrick T. Komiske](https://pkomiske.com) and [Eric M. Metodiev](https://www.ericmetodiev.com)\n", "\n", "This simple self-contained notebook demonstrates how to obtain the distribution of any jet substructure observable on the MOD-processed CMS Open Data.\n", "\n", "The CMS-recorded (`cms`), Pythia-generated (`gen`), and detector-simulated (`sim`) datasets of jets are directly downloaded from Zenodo. Simple defaults are used for observables, jet selections, and particle flow candidate filters, but these can be very easily customized by the user. \n", "\n", "If used with Binder, this requires zero software installation or file downloads. Just run it in your browser. Enjoy!\n", "\n", "If these datasets or software packages are helpful in your research, please cite:\n", "* The [MOD jet substructure paper](): \"Exploring the Space of Jets with CMS Open Data\"\n", "* The [Zenodo records](https://doi.org/10.5281/zenodo.3340205\n", ") of the MOD-processed CMS Open Data and Monte Carlo files\n", "* The [EnergyFlow](https://energyflow.network/faqs/) python package, where more documentation is available" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "import energyflow as ef\n", "\n", "import modplot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Read in the Open Data\n", "\n", "This cell determines the jet $p_T$, $|\\eta|$, and quality selections and reads in the datasets. The defaults are jets with $p_T\\in[375,425]$ GeV and $|\\eta|<1.9$ of \"medium\" quality. A small fraction of each dataset is used by default.\n", "\n", "**Customize:** You can change the `specs` to any desired jet selection. Make sure to change the corresponding plot stamp description of the selection." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CMS MODDataset\n", " Jet Integers - (48956, 6)\n", " ['fn' 'rn' 'lbn' 'evn' 'npv' 'quality']\n", " Jet Floats - (48956, 9)\n", " ['jet_pt' 'jet_y' 'jet_phi' 'jet_m' 'jet_eta' 'jec' 'jet_area'\n", " 'jet_max_nef' 'weight']\n", " PFCs - (48956,)\n", " ['pt' 'y' 'phi' 'm' 'pid' 'vertex']\n", " Filenames - (1223,)\n", "\n", "SIM MODDataset\n", " Jet Integers - (85819, 7)\n", " ['fn' 'rn' 'lbn' 'evn' 'npv' 'quality' 'hard_pid']\n", " Jet Floats - (85819, 17)\n", " ['jet_pt' 'jet_y' 'jet_phi' 'jet_m' 'jet_eta' 'jec' 'jet_area'\n", " 'jet_max_nef' 'gen_jet_pt' 'gen_jet_y' 'gen_jet_phi' 'gen_jet_m'\n", " 'gen_jet_eta' 'hard_pt' 'hard_y' 'hard_phi' 'weight']\n", " PFCs - (85819,)\n", " ['pt' 'y' 'phi' 'm' 'pid' 'vertex']\n", " Filenames - (2331, 2)\n", "\n", "GEN MODDataset\n", " Jet Integers - (82885, 5)\n", " ['fn' 'rn' 'lbn' 'evn' 'hard_pid']\n", " Jet Floats - (82885, 9)\n", " ['jet_pt' 'jet_y' 'jet_phi' 'jet_m' 'jet_eta' 'hard_pt' 'hard_y'\n", " 'hard_phi' 'weight']\n", " GENs - (82885,)\n", " ['pt' 'y' 'phi' 'm' 'pid' 'vertex']\n", " Filenames - (2331, 2)\n", "\n" ] } ], "source": [ "# use a fraction of the full datasets (amount=1.0 uses the full datasets)\n", "amount = 0.01\n", "\n", "# select jets with JEC-corrected pT in [375, 425] GeV and |eta| < 1.9, with \"medium\" quality\n", "specs = ['375 <= corr_jet_pts <= 425', 'abs_jet_eta < 1.9', 'quality >= 2']\n", "\n", "# stamp description of the jet selections\n", "legend_label_0 = r'AK5 Jets, $|\\eta^{\\rm jet}|<1.9$'\n", "legend_label_1 = r'$p_T^{\\rm jet}\\in [375,425]$ GeV'\n", "\n", "# load the CMS (cms), Pythia-generated (gen), and detector-simulated (sim) datasets\n", "cms = ef.mod.load(*specs, dataset='cms', amount=amount)\n", "sim = ef.mod.load(*specs, dataset='sim', amount=amount, store_gens=False)\n", "gen = ef.mod.load(*specs, dataset='gen', amount=amount)\n", "\n", "# show the details of the CMS, SIM, and GEN datasets\n", "print(cms)\n", "print(sim)\n", "print(gen)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Observable and Plot Settings\n", "\n", "This cell determines the jet substructure observable being computed and all of the plot settings. The defaults here are for constituent multiplicity.\n", "\n", "**Customize:** You can change the `obs` function to any observable. Make sure to change the corresponding plot settings (binnings and labels) in this cell." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# define your observable on the jet (i.e. list of PFC [pT, y, phi, m, PID, vertex])\n", "\n", "def obs(jet):\n", " return len(jet)\n", "\n", "# define your histogram binning\n", "bins = np.linspace(0,100,51)\n", "\n", "# define the x-axis label and y-axis label\n", "xlabel = r'Constituent Multiplicity $M$'\n", "ylabel = 'Differential Cross Section [nb]'\n", "\n", "# specify a particle flow candidate (PFC) filter, defaults to applying CHS only\n", "# settings are: which ('all' or 'charged'), a PFC ptcut (in GeV), and chs (True or False)\n", "filt_args = {'which': 'all', 'pt_cut': 0, 'chs': True}\n", "filt_legend_label = r'CHS'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Compute Observable Values\n", "\n", "This cell filters the particle flow candidates as specified and computes the jet substructure observables for all of the datasets.\n", "\n", "The Monte Carlo samples are reweighted based on the K-factors and to match the pileup profile of the data." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# compute the observables on the jets, after filtering the PFCs accordingly\n", "cms_obs = np.asarray([obs(jet[ef.mod.filter_particles(jet, **filt_args)]) for jet in cms.particles])\n", "sim_obs = np.asarray([obs(jet[ef.mod.filter_particles(jet, **filt_args)]) for jet in sim.particles])\n", "gen_obs = np.asarray([obs(jet[ef.mod.filter_particles(jet, **filt_args)]) for jet in gen.particles])\n", "\n", "# get weight modifications for sim and gen weights\n", "sim_factors = ef.mod.kfactors('sim', sim.corr_jet_pts, sim.npvs)\n", "gen_factors = ef.mod.kfactors('gen', gen.jet_pts)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Compute Histograms\n", "\n", "This cell computes the value and uncertainty of the histogram bins of the observable distribution for each of the datasets." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# get middle bin values and step size\n", "step = bins[1]-bins[0]\n", "midbins = (bins[1:] + bins[:-1])/2\n", "\n", "# cms histogram calculation\n", "cms_hist, cms_errs, _ = modplot.calc_hist(cms_obs, bins=bins, weights=cms.weights, density=False)\n", "cms_hist, cms_errs = cms_hist/step, cms_errs/step\n", "\n", "# sim histogram calculation\n", "sim_hist, sim_errs, _ = modplot.calc_hist(sim_obs, bins=bins, weights=sim.weights*sim_factors, density=False)\n", "sim_hist, sim_errs = sim_hist/step, sim_errs/step\n", "\n", "# gen histogram calculation\n", "gen_hist, gen_errs, _ = modplot.calc_hist(gen_obs, bins=bins, weights=gen.weights*gen_factors, density=False)\n", "gen_hist, gen_errs = gen_hist/step, gen_errs/step" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Make Plot of Observable Distributions\n", "\n", "This cell plots the computed histograms for each dataset in the MOD style.\n", "\n", "**Customize:** `modplot.axes` takes more arguments for further customization. The `style` dictionaries can be modified to customize the style of the curves. You can change `stamp_x` and `stamp_y` to move the stamp within the figure.\n", "\n", "**Note:** This example uses LaTeX syntax and rendering on the figure text. This may cause errors if moved to your system without a LaTeX matplotlib setup." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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67We2tZ/cZlMx2bPpoBwhxKph/Ep7LEREdFi2/QVc1/XUOY/zzm28imEYaLfbcF0XUkq4rjvX5/f+/fuF7SuOasJtWVbi9EuLzcCz2natf1EW475K8/Douqseqqw6X9EB1eJqG1XyrGla6kjq6kHMqmmJkkZ9Xvd+2KRoHIvnsdFoQNM06Loe+xBKTU9W9LHsar+Hjsnxamv9ZV5jDt9t7SePe7OpmHQAjpSyAcABYM/mPU76y1nGYyEiogMR/SL59u3bK21rnVoZlfz6vr9Uu7aYvBbNNE14nheeg9FotLHa48FggG63m5oYA6uTuqLXK4PoNVY1gOuIXrsiRjtWCdVoNFpKqp49ewZgdR/pSqUCYPWDpyx9rcvYr3xxLm7TNDGZTDAej2MfQGwq2d/Vfg8dk+PVwr/Mq+b0TVqvZPvJo4npXMZdNdXSbBCtGqYJszebTzkxphIdCxHRxrx8+XJpgJW0JWnE5y+//DLXdl6+fLmXsRcRd5pof8ir9rtdZyqkaH/gaO3xaDRaO8FR8xtnFU1WX7xYNfxHfmpE5Ha7nZoYA+n9ORel1eDtk08++ST8+SrnP5qAFjE/bjRpX0xu1blXI6EnLa7rwjRN3Lt3D0n26dotjrSeFnsQBGHrDzWC9zqD6+W1q/0eIs5zvDnb+quwqf04ADpxya2UMhBCdAG0Z+WKmrgt97GMx2Pcvn07U9kHDx7gs88+yx0UEVHRvvOd7+DTTz+Nfb3s9iH2ZrOJTqeDIAjCGrJ1vqxfpTam2Wyi1+uh1+uFCbIaRXgdl5eXuRJ9TdNgmmbqwGDrUkl+dDCoNNEkalUsKnnep+QqjroHAax9D0ZHczYMY6MtDqLu3r27NG3UdRb9XEUfakSNRiN0Oh0Mh0OYpolOpxMOPqfmHd+EXe036gc/+AEeP36cqex4PN5wNJvH5Hi1fU9y1yKlXPU/sItpcmwKIcyF8ls7lnfv3uHi4iJT2Tdv3mw4GiI6FDdv3sTnn38+9/u+xFGG2LcRg23bYU3r6enpWknps2fPEvtNrtJqtcIm2YPBAJZl4fLy8kpJX97+06pZa5HTWfm+j+PjY/T7/cRz02q15mrMozWevu+nJnnqGIuoJd0lTdPQbrfD+WvXuQdPT0/Dn9d9qLIoWku6eF9omoYgCErZ1HmT1L2qrtmi6DgBnudt5CFFpVJZSiy3sd8s3rx5k/m79nXA5Hi18BGnEELL0Uw472Pabe2nKNH/oesAosnx1o7lgw8+yPzUbFdfXono+rl16xYePXq06zDWiqMMsW8jhmaziX6/j+FwiG63i1arlTtJVHPFrsMwDOi6Dt/3cXp6isvLy8RaqTx6vV7maaBUc96ivlSreWsXp+eJ8n0/djotwzAwGo1WJvjq/SLO1a7Zto3BYADf99Hr9fDw4cPMD0eio0E3m83CHhZE74nFWE5OTtDr9TL3Ufd9f6vziG+Cuj5A/Ajdo9EoTFDV9EmL4lpDjEajcDCtdexqv3Fu3ryJarWaqex4PMa7d+8K2/cusM/xaus+Psu73rb2U5Tofhc/sVs7lkqlgvPz80wLm1QTER2W6OBX9Xo9V/PiRqOBTqezMplJ26b6cjsajeA4ztq10FFqdOhV1GBgauqdqwqCAMfHx3AcJzVRGwwGsV/kHz58CCB9hGPV/FjX9ULOVRl4nhfWyGbtIxotaxhG7KjnSeul6fV6YZm4RDBaOx1t0h1nOBwWVpu9K77vh6O5N5vN2Hsuer8mPZSK61MeN9WVmnIry+e3yP1e1WeffZb5u/Y2mnlvGpPj1aJ/aVYNGBX+D5pzIKpt7mclIYQrhJgIIbI9ml6ehqk0x0JERIfN8zxYlgXf9/Hxxx+v7LerBiPSdX1lDe3z589Tv+hG118cAXddqvZ21RdglZivGiwrq+PjY9y4cQOu66LT6SwtrVYLjUYDp6ensQM1WZYFy7JSR89WfXTXibmIpsCbaE6saRpevXoVzg28KkEOggC1Wg1BEMCyrFwtF3zfT0xqgyAIz69t27EPMDRNC8/9/fv3E+9tta205Hjboyfn3d9oNArPc7PZTHwAoRLatH3E9c9++/bt0oM1dc4Xz2tcDXyR+6Wc8oxQeYgLAAuAnC3GirL9WblJmfaDaf9gCcDNUNaMxDFOKadFynnbPmcAzgHIarUqiYj2UeTvZLjsi32Mvd/vS13XJQBpmqZ0HEd6nicnk4kcj8ey3+/LZrMpNU2T/X4/dVvj8Vjath0ee7PZDLe1yDRNCUB6nhe7rclkIvv9frgtTdNiy47HYwlAOo4jXdeVuq5Ly7Jkv9+X4/FYTiaTcFu6riduZx3qGLIuafs1TVNqmiZd1517vdlsSgArz70ymUyk67pS07Rwv67rxl6DTW4jD3XPaJomHceZ289kMpl7P+t5iG7XMAxpWZZ0HGfufc/zwmNcfC+O53nhPbR4nfr9vjQMI/EetSwr9VxGj1PFc9XzPR6P5+5Ry7Jit6k+56pslvM8mUzC8pZlLb3fbrfDvx0AZLvdlpPJRBqGEbs9ta12ux2+ZlnW0nkuer/bUq1W1XU4lyXI49ZZdh5A2ZeFJNBaUdableuXaT85k2MjEoezTrltnDMmx0S07/YxwVT2OXbXdWWz2Qy//KsvySphXsUwjLlENppYxZ0H13WlaZpLr0cT4ui2Frc3Ho+llO+/LC9uw7KsMOkHIHVdD78oF8F13VyJcZZ7QSUohmGE/7bb7fBY00SPNe28aZq20W2sazKZSMdxpGmaUtf1uUU97MgrmhxL+T6BVftQ5zfvPWHbtjQMQ2qatnI7cedT/a4SwWgCu1gm7jOyyuJ1zLLoup75sx4VvWebzaZsNpvSsqzwIcFkMgkfDCQ9PFBs2w6vuWEYqde8yP1uw3VIjoWcJhqUQgjhYZoMdqSU3ZRyE0wTw4aUMr2zxhb3I4RwMa0RHkopV067NNv+sZzOaZxUponpNE4AUFssu+lzJoQ4B1CtVqs4Pz/PuhoRUWkIIZZe25f/k/c5dqLrptvtotPpwDCMtQeQIyrC7du31cjWF1LKbHOtlgz7HGejxtJPHDpRCGFgmuT5SUmeEEIXQrRnZTe2nwI8w3I/4kWq08wwIYkuy7EQERERERGtxOQ4g1niNgBgpCS2alSCtJEWvFk5TwixlHwWuJ8kqwbHUjoA7LgYAUAIYWFaEx0kxbGFYyEiIiIiIioMk+OMpJQNTOfyPRNCzM1hIIRwME0WG0lNkYUQGiIjMyOhZvaq+1nc52wbaohMQwhhzmJJJKejRjcwTeLbqvxsezamg2iNAHwsU0aYLvJYiIiIiIiINunndh3APpFS1me1pp1ZkniJaW3sEEBFSpk4n4OUMhBCdAG0MW2KnDiXxFX2AwBCiDHmk+8A76dXcmdlACCQUh4lxDASQnwM4CGmSbKqdX6BHP2Dr3osRETXyevXr/HmzZvE99UYCjdv3sStW7e2FVYm+xw70XX29u1bANufPonoOuKAXLSXOCAXEe2jR48e4YsvvlhZ7vPPP8ejR482H1AO+xw70XUVBAGOj4/DuaM9z4udw5hoGzggFxERERERbVUQBBBC4OjoCL7vQ9M0aJqGWq0GIQR6vd6uQyTaS2xWTURERES0RzRN4/RpRBvAZtW0l9ismoj20ap+u0oZ++3uc+xERLR516FZNWuOiYiItuTWrVt7mzjuc+xERERZMDmmvXZxcaFG3p7DFhFERERERMWL++59XXBALiIiIiIiIjp4TI5pr1WrVUgplxYiIiIiIipe3HdvKSWq1equQ7syJsdERERERER08JgcExERERER0cHb6IBcQohf2+T2M3ohpfyLXQdBRERERERE5bXp0aqHACSAXQ1pJgE0APz9He2fiIiIiIiI9sA2pnJqSCl3kpwKIf7FLvZLRERERERE+4V9jomIiIiIiOjgbaPmmIiIiADg69fA129Wl/vwJvDhrc3Hk8c+x05ERJTBppPjOoAXG95HmfdPRET03p8+Bl5+sbrcnc+BX3208XBy2efYiYiIMthociylPLvK+kKIbwDQZ7/6eUedvur+iYiIiIiI6DCUss+xEOLXhBDPAUwAeLNlIoT4X4UQf2O30REREREREdF1U7o+x0KIPwDQVL8uvH0XwEgI0ZZS/vfbjYyIiOiKfvkB8AuN6c9/fGf5/b/1cvrvhze3F1NW+xw7ERFRBqVKjoUQvwWgNft1hGl/4WD2u4ZpE2sTQFcIEUgp/872oyQiIlrTh7fSB6vSbm8vlrz2OXYiIqIMSpMcCyE+BtAD4AI4kVL+LKVsG0BPCNHP2w+ZiIiIiIiIaFGZ+hx3AAyllL+RlhgDgJSyC+DhbCEiIiLKZDgcotVqoVar4ejoCEIIVCoV1Ot1DAaDpfK1Wm3pdyHE0rJYLo9erxe7TSEEfN+PXWcwGKBer88dQ6PRwHA4DMuMRiO0Wq3Y9Wl7eK2WtVot1Ov18HNYqVR2HRIRgHIlx8cArKyFZwny0ebCoX1wcXER+2WCiIgoajAYhEnwixcv0Gq1cHZ2hslkAs/z0Ol08PTpU9RqNQTBtEdXq9XCaDSa247neZBSYjwewzRNaJoGYJrcRJOdPPr9fvizpmnwPA+TyQRSSui6Plc2CALU63Xcv38frVYLr169gpQSnueh1WrBtm20Wi0EQYBGo4HLy8u1YkrS6XRQqVTC/28rlQo6nU54zrJQyWKtVgv/zbsNRR1no9HIvW6R20jabhHXSiWQvV6v0Ph2qVarwTAM+L6/1nXfhut43ouS9DDv4uJi16FdnZSyFAuAF2usc3/XcXPZzQLgHIBMWoiISu+PsLzsiz2L3bIsCUBqmiZd100t67qu1HVdttvtlf+n9Pt92Ww2paZpEoC0LCt3bK7rStu2w32Zppla3jAMqWmanEwmiWVs275STHHG47E0DEO2223peZ6cTCbS87y5c+s4zsrtWJYlNU2TnufNva7O46rro2JxXVe22+3wOFedt01sY5UirpXjOOG9oWlaofGVgTo+Xdd3Hcqc637eryrtO/hsOZclyBfWWcpUc/x2S+vQNVKtVpOSZyIiItRqNQwGA+i6jlevXsE0zdTypmmi3++j2+1m2r6maTg5OQEwrRHNWwvmOA6azebqggC63S5GoxGePHkS1ljHabfbYUxFCIIAtVoNtm3Dtm0YhgFN02AYBvr9PtrtNoIgQKvVSj1vrVYLg8EAZ2dnMAxj7j3HcWCaJur1emJTcgBhE3bbtlGpVJZq1rMoYhurFHWt7t69G/68iTh37caNG1vbl+/7qNfrmcpe9/N+VUmJZbVa3XVoV1am5FgIIb6x6yCIiIjoemg0GmGzaNd1U5OUKMMw0G63M+8n2lf02bNn+YIEMsf19OlTAFiZ4AOAbdu540hy//59PHz4MHG/tm2HCUSn04lNbofDIXq9HkzTXEqMlYcPp0PJpDVvllJiMpnAdV00m821kqsitrFKUdfKMAy4rgvHcXB2dlZYfIco7aHLIp73w1Wm5NhGjgG2hBC/iOV5kImIiIjQ6/XCAbba7Xbu2h/btnMl0yrhcxwnV4x5BmFSiX6WuDRNg2VlHsollTqPabXi0eOIOwcqAUxLfA3DgK7rV+q/XRZFXivTNNFsNjPfjxRvcfyAVXjeD1NpkmMp5RmAIyHEd1eVnSXGtpTyh5uOi4iIiPZPp9MJf1Y1knnlaZqsksPRaJS5hqrf72eqWQTmE9OsiWPWJqRpVELR6XRSR+SO1gYvxhcEQfhatLlqHPUQIzpI2b7Z1bWidKo2nyjNVuY5FkI8BZD1sct9IcT3ASQ9ntQA6ACKHVKQiIgoq69fA3/6+P3vv/wA+PDWfsRRhtg3HEOv1wsTFNU/dh2NRiPzSLUnJydhguw4zspmzb7vJzYvjqNpGjRNC/v2jsfjleuYppmpXJroCMpqZOG48xmtmV+sYY4miKuuhXp/n2uOd3WtKNlwOMRoNMr8MIoO17ZqjusAzNm/qxYBoAKglrBUZmX6s6SbiIhou75+A7z84v3y9Zv9iaMMsW84hmit41W+DOdZN9o0NktC7ThO7nltVU227/uoVCorE0hd16/c99g0zXDKqna7nZjcRmvLF5uwP3/+PCdwqT8AACAASURBVPx5Vf9etW6e/qFltItrRfGGwyFr5imzrdQcA7jEtMa3B4CPxYiI6LCNv0x4/Sug8p3txpLXHsQeTUQ++uijK20rzwwIajTmIAgwGAxS+5GORqO1+kGrxFuNvKtpWjjK8927d3PVRmfluu7KMtH+nIsxrDuPbVIt9T4o4lp1Oh2MRiNcXl7C933cuHFjqXa50WggCAL4vo/Ly0vcvXs3vF6L69+9exedTmfuoU+v1wsfJvm+D13X0Wq1Eu9dtT+1TQCYTCZzZbrdLlzXxeXlZRjbeDy+0qjPg8Fgri+7OtZOp5O43eFwiFarNfegZTgcQoj5IYts254bgC/LeV/U6/XgOE54zwZBANM00Wq1Eq9zlmunjlXXdTx8+HAjn2+at63k2AfQl1Ku1+mHiIiozP74TjHb+V8+nS7btM+xZ7DNaVhUDWsQBHAcJzHBGAwGqQNTJdE0DZ7n4fj4OEw4VSKuBs3SNA3NZhOtVmurxx7tz7nYxzvaNDtPsnt5ebm3yXER1+revXv46KOPcHp6iiAIYmvd6/U6giAIy6j9NBoNdDqdsDZaTcdVr9fhui5M00Sj0Qh/VxqNBhqNBtrtdmxNdr1ex3g8DrsuxF0flcA9ffq0kBYAjUYD9+7dW3pI02q1UKlU0Gw2YweBizZVb7Va4Wjpqx72ZDnvymg0wvHxMe7evYt+vz93HQeDAY6Pj3FychIbX95rV6vV0O/3Cxtoj+Jtq1l1ANYYExER0YYtfhnfdnKl5iweDoeJNaZPnz7NPLfxIsMw8OrVq8T1gyBAt9vN1JS3KKo/J5BvlO9V1q1xLourXivLshKTVKXZbC6VaTQaS4O9aZoWlul0Omi1Wmi1WkuxqTLdbjf2/DebTdi2nTrInWmaaLfbePLkSWKZrNSo80+fPl2Kx3EcGIaBXq83NwBfnDz3ZJbzDkzv+1qtFtb4Lj7gsCwLZ2dn6PV6sc261712tFlbSY6llCdSyj/cxr6IiIjocC1+Qd12ghXtRxzX93hVTVQWmqbBcRxIKeF5Hmzbju0fXa/Xc09fsw51zCqpWLTvSe5VFHGtstwvqozqX5s2aJpqMhwXR/Tz8+LFi8T9ZZ2i6qo8zwOAxOm91L2XdeC8PNLOu6rhBVbPU21ZFobDYWJim+fa7Xtf/H1Qmqmc1iGE+NGuYyAiIqLy2vaXSV3XU+c8zju38SqGYaDdbsN1XUgp4bruXL/E+/fvF7avOJ1OB77vw7KsxOmXol/28yTK+9qkOsm2rlVSs9vo+UwboCrLeb/qA56sGo0GNE2DruuxybyaGmzbD2BUU2hN01b2A/7kk08AJNfGR2W5dof8sGkb9jY5FkJ8E9MRsImIiIhC0S/Rb9++vdK21qmRUsmv7/tLtYGLCVHRTNOE53nhORiNRhurPR4MBuh2u6mJMbB+IrWtBGxXNnWtsvQ1XzXfNFCOJMw0TUwmE4zH49ikfVdJo+o3nuU8Rq9HllHLV4n24afibWtArtyEEN8AkPZXkWOyExFROfytl4B2O3v58Vfxg1f9O1/mG/E5OL/6gFq7iL2IuFM0Go3wS+hV+93atp27f7AaZAmY1h6rGuTRaLT2lDJBEKDT6cTWRsfp9/s4OjoCMG0eW3RCPhwOUwduioomMKsG2YomOPtac7zLa5X1nO3juQ2CAM+ePYPnealNvrchT4uU6Ll+/vx5ptph2p1S1RwLIb4thPgzIcT/B2CC6SBeScvfxnSgLyIiov2SlESWZCqkVHsQe7PZDL9ojkajK00ldJUYgPmaZ8dx1h6I6/LyMleir6YNAoqvUVNJvuM4mebmvXfvXvjzqlhUrdg+JwplulbXgbrfjo6O0O/30Wg0cHZ2Bs/zUlsslBGvb/mVJjkWQnwLwABABYDIuBAREW3fhzeBO5+/Xz68uT9xlCH2LcQQTdpOT0/X2sazZ8/WnjYl2q9YNcG86tREeftPqyaaRU7p5Ps+jo+P0e/3ExP9xT7V0Wbuq45BvR/Xv3SflOFaXQe9Xg+1Wg3D4RCe54XTUBX58KRSqeReR+0/SxPnaEJcq9Vy74u2q0zNqh9iOh9yZ/bvqkcrDQDr/W9H18bFxcXSZO4AIKXcQTREdDA+vAX86qNdR7FeHGWIfQsxNJtN9Pt9DIdDdLvdteb9tW07HC03L8MwoOs6fN/H6ekpLi8vw4F5rqLX62WufVZNT4tqUh0EAer1+tJUM1G+78dOp2UYBkajUebkuIhztWu7vFZlcNXB8Eaj0Vz3hLhzE1cTOxqNwkG8NuXk5AS9Xi/TMUabgO/7Qx8l7rv3dVGammMAOgBDSvlDKeVPpJSv0hYAPbD2mIiIiBJEB7+q1+u5mjQ2Gg10Op2VNVRp21Rf7EejERzHWbsWOkqNDr2KGgzMNM1CkoQgCHB8fAzHcVK/4A8Gg9gkRs2L+/Tp08R1VRN4XdcLOVe7tqtrtQ3qc5F2/7uue6V9RO+VpIcMcX2Po/NuKx999BGA4kavV9MyBUGwchA11fS72WzuzfU9ZGVKji+llH+RtbCUMgCwndntqbSq1SqklEsLERERMJ0n1bIs+L6Pjz/+eGVfUN/3Ua/Xoev6ylq/58+fp37Zjq6fZVTbLFTt7aov5CoxL6pP5vHxMW7cuAHXddHpdJaWVquFRqOB09PTuT7GimVZsCwrdURmlXCsE3MRI/gWPQrwLq7Vtvq0Rh+QxO1zMWlcJy6V0KatH5eAv337dumhlnpgs/h59X1/rYRV1/XweqVNwTUcDjEcDqHr+soB2vapP3Lcd28pJarV6q5Du7qkg9v2AuDHu46By/4sAM4ByGq1KomI9tIfYXnZF3sYe7/fl7quSwDSNE3pOI70PE9OJhM5Ho9lv9+XzWZTapom+/1+6rbG47G0bVsCkABks9kMt7XINE0JQHqeF7utyWQi+/1+uC1N02LLjsdjCUA6jiNd15W6rkvLsmS/35fj8VhOJpNwW7quJ25nHeoYsi5p+zVNU2qaJl3XnXu92WxKACvPvTKZTKTrulLTtHC/ruvGXoNNbiNOkddqPB6H50ad28X4xuOxtCwr9Rgmk8ncPWvbdmwZ13Xn7uu0c9Fut8Nyi/GYphmeBwDSMAxp2/bcdV91bJPJJLz3LMuK3b/63AKQ7XZbTiYTaRhGbLxqW+12O3zNsqylezFLbIq6voZhLF1Ddb5N00w8j+tcO8dxrnyPbkq1WlVxnssS5AvrLDsPIAwE+F0Av5ZzndNdx81lNwuTYyLae3uYYIb2OHbXdWWz2QyTEpWQqoR5FcMw5hLZaGI1rXNY3p9pmkuvRxPi6LYWtzcej6WU7xOFxW1YlhUm/QCkruthklCEaLKUdVml3+9L0zSlYRjhv+12OzzWNNFjTTtvmqZtdBtpirpW0XgW41PnKu441O8qCYw+3Fgso+KMJl9Z7uvocZmmGSaIhmHMJdVqe+pa27a98thUmcV9qG03m01pWVaYjE4mkzDBjEtSo2zblrquh/HGPYzJct7jtmsYhtQ0Ldx+UuKtFHXtyuQ6JMdCThONUhBC/BiAJTM0rxZCfBPTpth/dfORUdkIIc4BVKvVKs7Pz3cdDhFRfn83ZtiM/6Q8/yen2ufYiYhoI27fvo2LiwsAuJBS3t51POsoU59jYDoCdV8I8V8KIX5xRdliOu8QERERERHRwSvNVE5CiB+pHwF0AXRnw4TH9U5Xvez3p+c6ERERERERlVZpkmMA9wB8E8vTMx3tIBYiIiIiIiI6IGVKji8x7cD9/dnPq/wmgG9vNCIiIqIiff0a+PpN8vvBbAyFD28CH97aTkxZ7XPsREREGZQpOfYxnc7pSZbCQoifgMkxERHtkz99DLz8Ivn9P74z/ffO58CvPtpKSJntc+xEREQZlGlArgA5+hBLKX0sN8EmIiIiIiIiyq00NcdSypM11ilTck9ERERERER7aqPJsRDiewAGUso/3+R+yrp/IiKiOb/8APiFxupyH97cfCx57XPsREREGWy65tjGtC/xn294P2XdPxER0Xsf3trfwar2OXYiIqIMNt0sedd9gne9fyIiIiIiItoD2+hz/LEQ4m9uYT9x5I72S0RERERERHtkG8nx721hH3SgLi4uIMRyAwEp+VyEiIiIiKhocd+9r4tNJ8dHG97+SlLKn+06BiIiIiIiIiq3jSbHTExp06rVKs7Pz3cdBhERERHRQUhqoXn79m1cXFxsOZpicZ5gIiIiIiIiOnhMjomIiIiIiOjgMTkmIiIiIiKig8fkmIiIiIiIiA4ek2PaGCFEWwhhCyGMhPf12fvNbcdGREREREQUxeQ4JyGEJYRwhRBe5F9bCKGVdT9CCE0I0RdC9NdY1xZCjIUQcraMc8RxD0AbgBdZ1xNCTIQQEsAYgAXgWd64iIiIiIiIisTkOIdZcvkEQEdKWZNS1qWUNQAagFdCCLMs+5nVyppCCBvAK0yT0MyJ9Wx9b/ZrA9M5q2sARpgmvK/WqPHVARiROAYAalLKIOd2iIiIiIiICrXReY6vEyGEg2mCWZNSjqLvSSlbQogbAFwhREVK6e9yP7Na2QDACwB9AD6mSWnWGDQAHoCGlHIYeWsEoDFLuNsAHCGEJqXspmxuBOASwF1Mk2J/9trp4vERERERERHtCmuOM5jV1DYBDFMSutPZv7mbLhe9HymlkFIezWqce5gmp3k8wTR5Hca9KaXsYJrkAoAthNBTtnU6i+NoFldFStlgYkxERERERGXC5DibzuzftIR0hFkN7RWaV29rP6tYQFiDnMSJ/NzaUBxERERERERbweR4hVmCqJLQFyuKq9rURln3kyEO1fzaxrRpdZJoze+mknQiIqJcgiCAECL3UqlU0Gg0MBgMdn0IdM0Mh0O0Wi3UajUcHR2F91u9XsdwuNxIr1ar7SBKIgKYHGcRTfxWDRyl3l8nWdzWfla5EflZT6k9jvZ3LnSkbiIionVpmgYpJSaTCTzPg6a9/y/Ktm1MJhNIKcNlMplgPB7Dtm0EQYBGo4FKpcIk+ZoJggDdbhe1Wg2VSgWVSgW1Wg3dbtqwKVczHA7DJPjFixdotVo4OzsL781OpwPHcVCr1eD7069VrVYLo9EIQcCxSstAPdDo9Xq7DoW2hMnxavciP6/qu6sSxrQ+uLveT6pZP+Mhpgl4N2Uk6ei+Vw5ANpuayp5NKeUIIawCwiUiIoqlaRoMw8Ddu3fD1yzLmkuWVTld12FZFlzXheM48H0fjUYDnU5ncbO0h7rdLo6OjjAej9Hv9zEejzEej8OHJ/V6vfB9tlot1Ot1XF5eot/vw/M8NJtNGIYBTdOgaRpM00S/34dt22GiziSsPHq9Xviggn8LDsdeJ8dCiB9tYTdr1YquMR/xtvazUmQArbS/BNHRr9MG17o3m5pKB+BIKRuY9ldW8ydnHkWbiIho01QCA0yTKtYg7zf1kKPf78NxHOj6+2f7vu/Dtm0Mh8NCr3O9Xkev14OmafA8D5aVXh9gmibOzs6YgG2B7/uZH4ZEH6xF7xu63vY2ORZCfBPb6esaNjPOOR/vjdVFdrKfonwS+fk0sdR09O37UsqumnpqNqhYDdOE2Vsx2jUREdFWtVrvx5lkwrK/Op0OBoMB2u12bII6GAzC5szq36tqtVphP+Kzs7PMSZVhGGi324XEQMnyXGfDMMLWJGdnZxuMisqktPMcCyG+gfTEr/g2MMXaVj/crff3nY2SrWp8OynJvJP0vpQyEEJ0MZsvGWtez/F4jNu3b2cq++DBA3z22Wfr7IaIiA7IYu1iEARLzbEpv9FohBcvXqDZbG58X8PhMOxP/PDhw9gylmXBcZzw56saDAZhs+hoC4SsbNtGr9djf+MNGo3yzSRqmhxz9gc/+AEeP36cqex4PN5wNJtXquRYCPFtTEdJzlqTuI2/Htc2yb0CNY3TQEqZOJJF0jzJES6mybEphDAzlF/y7t07XFxcZCr75s2bvJsnIiKaMxgMcP/+/bnXVPL85MmTxCRrMBig0WjMJdknJydwHAfD4fDKNdSe936CiW63C8dxcHk5P4TJjRs30Gq1whrK0WiERqOxVA6YPiBQ21S1oXHbM00zTDBX6XQ6GA6HODk52fjDBnU+m81m4r50XS/0y3z0Gq57PU9OTtjveIOePn2KGzd21ehyP7158ybzd+3roDTJsRDiWwDK2LEnTMCFEFqOJs95E/dt7edKhBDq4cVg1n/4KqJtW+qYDgSWywcffIBKpZKp7M2bN/NunoiIDlC05k4NnqRYlgXLsjAajXB8fByW9TwvtQmtZVlot9vodruwLAtPnjwJtzsajTAajWBZFh4+fAhd16FpWjgQkEqWXNcN+0FeXl5iNBqh0+ksNRVtt9tot9vo9XphE3HHcZZqbA3DwHg8RhAEODo6AjCtKXNdd66cSn5Vgp+0vTS+74fNjXu93kabEKvzCWAjg23FiTbR1nV97T6qqr8yFW84HGI0GrE2OKebN2+iWq1mKjsej/Hu3bsNR7RZpUmOATzENFnqzP5dlfQ1kN7XtSirRo4uar1t7WdtsxGm2ygmMQbmY19rYK5KpYLz8/MCQiEiIpqK1oTath1bxjAMnJ2dhXPSOo6TWFYJggCWZaHf78+9/vbt23Dk4ihN0+bmvI1+qVejbBuGgUqlAt/3lxKy6IBC0Z8XqQcAQRCkNgWObj9te3HUYFi+78NxnI0mx0+fPg1/ztu0uYh9XiX5KqJ5Ny0bDodbe1By3Xz22WeZuyXevn1772uZyzQglw7AkFL+UEr5Eynlq7QFQA+A2EJc0SR9VTuM8NFyzkG1trmftcz6Gfcxnd5pZWIshHCFEBMhRNbHyhyUi4iIdm44HIY1nJZlpdaORgdR6na7qf0ZVc3pYgIMTJPm6CBgeagEOa6fap6my1maml6lKfRgMAiP3ff93H0/81DXD3if0Hc6HTQaDdTrddRqNTQajblyRe4za4u2JOPxeOW59n0fnU4HtVptbkmat1kde6VSwdHR0Vyi2Ol0UK/X585NluuzTgxqnumjo6Ow6flwOJx7L2nfg8EgjFPF2mq1UgfZis41HX1NCDG3LMaszoma5zjLNe31euExqH/VvNVJNnFd6IqklKVYAPx4G+ussQ8LgJwtxoqy/Vm5SZn2g2nfXgnAXfMcGLP1mxnLm5FjGaeU0yLlvJwxnQOQ1WpVEhERJTFNU/0/I8fjcWK58Xgs2+22BCA1TZOO42Teh67rEoDUdT2xjGEY0vO8xBiTYnMcJ4w/SbPZlK7rLr0+Ho/DdZP2vXgM7XY7sUye7UW5rhtu1zAMCUA2m83M6+elaVoY52QyiT336rwWFUfk+4zs9/uFbDOJit2yLDmZTMLXPc+TmqZJXdfnXlfr2LYdnhvTNOVkMpGmac7dO5PJJLwX0o5j3RjUZ0zda/1+X1qWJaWc3sfq87fIsixp2/bS62qdLNdRlTVNc2XZfr8/d77SPtvqmOM+x/1+X2qalhhf0ddl16rVqrq+53LDOdqmlp0HEAayhUR3zbiiCZy1oqw3K9cv036ukhxjWqM7SYsJ0/mLo78bkWNxUtbLVC5hXSbHRHQtfP65lEAxyypF7efzzzd9VooTTY7Vl/boomma1DRNGoYhLcvKlRQrnueF+4j7Etxut1OTzrQv9lmSY8dxSp0cR5OGLMdzVdHrbVlW4oMH27YzJ0tpoucFQOy1KIo6f4ZhxL7vum7qMan1TdMME7FF/X4/NSG8agwqQW42m3NlkpLj6P7i4lUPXNLu3eh+81xvte+kc7HqWKV8//chrUwR16UMrkNyXKZm1SMhxK/lWUEIsfE+x3LabFm1YVjV9Fe9/zS11A73k4cQQsM0sW5IKWMHS5vNUTwXr5zOYxwAqEkp09qJRTssZRvqkoiIaE1nZ2cYj8dzy2QywWQyged56Pf7a00zFG1e3ev15prYjkYjDIfD1P7IWUd7TtJsNks7yJBq7q2aN0fP76YHngqCADdu3EgcHEvFEp32aR2LTdI3NRWT7/th8/snT57EljFNE7quh4NPLVKxqj64cc231fmKa65cRAwfffQRAMwNGAdMPweu6+LVq1dz5dWo6eqztEhtYxP3U1p3gyAIwgHq0j7fhmHAsqzUUemvel2oOKVJjqWU3wfw/dn8xisJIb6J6eBQ26CS8E+SCgghDExrf/20RFII0Z6V3dh+ijBLjM8AtGT6FEsW3if1Uc+wOslXfZeHs4SaiIhoL9m2HQ7+pL4wq5/j+hkfisUECHiflF71oUAWaX25NU0Lr9np6fr1LYuJTNzUWEVQCVg07jjqQUl0kLA4SYN/RY9nMdHfdAymaS6dTzUFmq7rsQ+B1OBw254f+vT0NJzGbdXAb598Mv1q3+12V8a5znWh4pRptGpgmiz1hRA/BvBDKeWfp5TNN0ziFUgpB0KIAQBLCGEkJHLqkVHaYFUeZoNpCSEqUsq5Rz8F7idJnondzjAdTbouhIgb3k+bbc8EcD/m/Q4ATwgxWjxOIBz52sS0hrmIka+JiIh2qt/vo1KphANsaZqGVqu19rQ+RTo+Pk6tBdtUbdTTp0/n5mAGpglrr9fDaDSKHWW7SKu2res6RqMRgiC4UiyGYYS1pFnnThbi/biyiwmhSn76/X6YLD179iyMOY0aPGrVNc1yrJeXl3OxFRlD1nNtmiYmk0ni+4tJ46bn0FYGg2kdVZaR26PHOhwOU0clX+e6UHFKkxwLIX6kfgTQBdCd/dGIezSi7oatPTaRUjaEEC6AMyFEI1qbKoRwME30Gkk1oLOa2OhdrGN+nt9C9hOzz7t4/yDBmI06/UKmjHI92796BJalnVbccQRCiAamCfIpgN7sNQ3TabvamNY4H6fFQkREtC90XYdt2+HcxIZhLCWGu3J2dpZau6WmgyrScDiMrekzDCNMJm3bLrwGWU0ZBeQbYfsqyfEnn3wSJsdZR8GW0zFUEARBOGKz4jhO2DxZUQmz7/srpyUyTRP37t1LfH/dxKrIGNY510EQ4NmzZ/A8Dy9evMi9fpHyfF6i5/v58+eZaodpN0qTHAO4B+CbWJ6e6WgHscSSUtZnNZ4dIYSNac3qDQBDAEs1wQvrBkKILqZJ4TCtqfJV9gMAQogx5ps0B3j/IMGdlQGAQEp5tLCuiWwJcTTe2ERdSjkSQnyMaTLsCSHUI+sXSOnHTER0SB49mi7bMPsuThvUbrfDfoUPHz7ccTS75TgOhsNhWMMWpZoeP3v2rPDk2DCMtRL9qzRVbTab4XVXNdFZEx1N02BZVjjXNACcnJwkrn/37l24rrt2rEXYdgyj0QidTid84NLpdGDbNjRNg+/7V54+a5vYJLrcypQcX2I6utn3Zz+v8psAvr3RiGLMErq1kjopZQfT5sab3s/afyFmSXth80fPaoUzHzcREdF1cci1QKqZclpzWCEEgiDAYDBIbWaaV71eDxPyPLXBq/qNptE0De12OxzYq9frhYO0ZXXjxo3UxEklz5vq05zFLmKI9lv3PO9K1ylJpVLJ3BxeyXMuote1Vqvljo+2pzQDcmHaNPdUSvlESvnDVQuYbBERERGVUq/XCwchSqIS4qJrjk9OTsKf40ZLjlI1zLquX7nvc3RQtk6nk7v2elWSpY5r1TEpm+hHvu0YRqNRmBg7jhObGMc9UFD92TdJnYss+4k2AS/ryPI0VabkONr0d6VZ0+LCajiJiIiIqBiO46ysDVbJ83A4LDSRUbW4QPpoyUEQhEle0hQ7eZ2dnYVJdr1ez9WEdlXZ6HRBcU3Vo1ZNH7aubccQvX5J06zF9T2Om0ZKTSFV1L2m7pnofZREjVjfbDZLMUAfJStNciylPJFS/mHOdUoTPxEREZXbLpuj7kKexCxv09A0KmlalQREk+eia49t24au6xgMBomJi0puLMtaa37rOJqmwfM8mKYJ3/fx8ccfZxqgKzoYV9q2VZJ1//79xCQvCIKwT26Sdfu9FhlDFiqhVduME9f3+e3bt0vdGlSt82LM6w7Epuv63LlIMhwOMRwOoev6yvuc/ZF3j8klERERXUuj0WiuVqnf72/8y2f0i3fWpqdpoqNd591eNJa02rIgCOZGIb7K9kajUZg0ZamhUwlMr9cr/Np4ngdd13F8fDy3fd/30Wg00Ov10Gw2C5+HWtM0uK4bJkL1eh21Wi2cvioaR6/XQ6VSwWAwCONNY1kWPM/DjRs3UKvVlhLvwWCA4+NjPHnyZCk59H1/riZ2OBwunXPVBzytzFVjUMnsixcvVt4jzWYzbIYcl4B2Oh188skn4cMNNfdw3EjppmmGr0VbCnQ6ndiWA9FYfd+fu3bRc+G6LoIgQK1WW/qMdrtd1Ot1mKaZOHJ9UdeFCiKlLOUC4BuYDrh1CuAPAPwWgF/cdVxcyrEAOMd0ALfYhYiIDtNkMpn7/0DTtHCJvm5ZVqH7dV1X6rq+tD9d12Wz2cy1LcuylrYV3Z6u67Lf7yeub9t2WD66rqZp0rbtsJznebHlAEjDMMJyzWZT6rq+VG7x2AzDCMuo7biumzvG8Xic63yt4jiONAwj3I+K2/O8QveTxHXd8Bwu3ocApGmaYSyTyUSapplpu7Zth8el67o0DEO22205mUyWysZ9JtTv7XZbSimlaZqJZZJiyhpD9HMZ95nUNC31WPv9vjRNUxqGIZvNpmw2m9KyrLnzZllWeO+mXVvbtsPPkWEYsZ+lxdiivyfdn4vnQtd1aVlW4mdAys1dl01L+w4+W85lCfKFdRYxPb5ymc2LmzTEnyOlfLDNeKh8hBDnAKpJ75fxviYiIiICprWFQRBsZORlok2bTQmb5kJKeXsbsRStdM2qhRA/wjQxFglLSwjxp0KIb+wuSiqLarWaVLNMREREVEq6rjMxpr2VVOtarSbWW+2NMs1zDCHE3wZQx3R+36eYTu+kGtRrAO4COAFwDOAZgP9wB2ESMuHyhAAAIABJREFUERERERHRNVOa5FgI8S1ME19DSvlPEor9BMATIYQJ4MdCiP9ASvmPthYkERERERERXUtlalbdBHA/JTEOSSmHAL4P4Lc3HhURERERERFde2VKjk0p5Q+zFpZSdgGwswYRERERERFdWZmS45/tOgAiIiIiIiI6TGVKjr+5xjo3Co+CiIiIiIiIDk6ZkuOfCSH+rayFZwN4vdpgPERERERERHQgypQc92ZLnvJ/b0OxEBERERER0QEpTXIspewBuCeE+IdCiL+RVE4I8TeFEM8BaFLK399ehERERERERHRdlWae4xkTwAsAdSFEMPtZuQFAB6DNfq9vOTYiIiIiIiK6pkqVHEspR0KIXwfQB3CEabIcJWb/NqSU//NWgyMiIiIiIqJrqzTNqhUp5RDALwL4PUwH3BKz5WeY9jOu5JkPmYiIiIiIiGiVUtUcK1LKnwHozBYiIiIiIiKijSpdzXEeQohf3HUMREREREREtP9KWXOchRDimwDGAP7qrmOh3bm4uIAQYul1KeUOoiEiIiIiut7ivntfF/tcc6zj/QBdRERERERERGvbWs2xEOK3ANiY1vaaUsq/WHj/z3JuUgcwKSg82lPVahXn5+e7DoOIiIiI6CAktdC8ffs2Li4uthxNsbbZrLqL6RzFNQAnAP5w4f2PAHwTrA0mIiIiIiKiLdtmcvwKwLcwTX79mPd9AB8D+D6Aywzb+3UAv1VYdERERERERHSwtpYcSylrQoj7AF5IKX8SU+QSwN+TUj7Jsj0hxE/A5JiIiIiIiIgKsNXRqlckviPE1ygnbcsXQvzs6lERERERERHRoSvNVE5Syu+vsc6NTcRCREREREREh2Wfp3IiIiIiIiIiKgSTYyIiIiIiIjp4pUmOhRDfW/H+T4UQfzZbfiSE+LVtxUZERERERETXW2mSYwB22ptSyr8upfwlKeUvAfgdAL8thPj2dkIjIiIiIiKi66w0A3JhOv9xJlJKH8CJEOI5gL+/uZCIiGgTXr9+jTdv3qwsd/PmTdy6dWsLEREREdGhK1NyLNdYRys8CiIi2rjHjx/jiy++WFnu888/x6NHjzYfEBERER28MjWrzkUI8bu7joGIiIiIiIiuh63XHAshfoyEWmIhxI8ybEKfLQDQKSouIiIiIiIiOly7aFbdwjS5NQB8MvtXYtrnuJ5jO0Mp5e8XHx4RERXt9evXePz4cfh7o9FAo9EAANy5c2ep/MuXLwFM+xwvrvvgwQP2QyYiIqLCCSnX6epbYABCmABUbfITAMGKVd4CGEkpzzYdG5WXEOIcQDXp/V3f10Q07/z8fC4JfvnyJW7fvg0AEGJ5PMboZzhtXSIiItquuP+3F1xIKffyP+qdD8glpRwKIX4dwI+klL+963iIiCi7rKNOv337Nvb1L7/8Mvb1r776Ct/5zneuFBsRERFRHjtPjoEwQX616zho/1SrVZyfn+86DKKDlXXU6d/5nd+Z+z2uKXXUp59+ik8//fRKsREREVHxklpo3r59GxcXF1uOplhlGq26tesAiIiIiIiI6DCVouYYANiHmIhoN7I2jb558yYHwiIi2hPD4RCNRgO2baPZbBa23cFgAMuyCtseUZmUJjlWhBDfAGBiOhr1Xyy8900APQBtKeX/vov4iIium6xNo7/3ve/h53/+58PfHzx4gAcPHmQadfqnP/0p/uAP/qCgiImIaJXRaIQgCOC6bmHJse/76HQ6TI7p2ipVciyE+K8A/O7sVw/Avx19X0r5MyFEH8CZEOK+lPIfbTtGIqJD9Zd/+Zf4/d9/P4Neo9HA7du3U2uT1ajSP/3pTzceHxHRvuj1enBdF/1+f2P7aLfbMAwDpmkWts3BYJCr/DaOk6hIpelzLIT4FqbzHP8M0zmPj+LKSSkHUsq/DuD3ZrXMRES0K1+/BoJzfPk//bexb3/1g/8OCM6Bfz4/S98/+B8+gfwj4MuEyowvm4D8I0D+08/D2meifdTr9VCr1XYdBpXMeDyG7/sb30/RiXGn08m1zraOk6gopUmOAXwfQAfAMaZNp09WlG8CsDcdFBHRdfL69Ws8evQoXF6/fo0HDx7g5cuXiUmoeu83fuM35l6/c+cOxL/yr0Ec3cF3//P/JnbdT/+z/xri6A7+45P/NPb97/z78XEmvU60b2zbxmg0wnA4zLxOvV6HEAJCCBwdHYWLeq3b7cau1+v1ltYTQsQmNJVKBa1WC8PhMExegiDAaDRCt9tFpVIpNKnpdDphPHHHVK/XC9sXAa1WC5VKBUdHR6kPZ3zfR6vVQqPRQKPRQK1Wi71foq/7vo9KpRIuee7tfdfpdAq9V9X5r9VqqNfrqNfraLVafKCwQ2VqVq1LKX8y+3nlfMdSypEQ4u6GYyIiulbevHkz1794Z02j/8XXOP9nyW+r927+tb/EzQrw+W9HsuV3bzNN4cYBxGjXRqNR+CXXcZzMtXiu64brq8RG13V4ngdd1xPXazabGI/HYfJs2zZOTk6gadpSWd/30ev10Ov1Yrdl23bqvvKybRu2bSMIAvi+Hx6XYRjwPK+w/dCUbdt48eJFaiI3GAzQaDTgOM5cn+R6vY5arTZ3XdTPR0dHuHHjBsbj8eaCLxnf9zEcDmHbNnzfL+xz0el00O12Yds2HMeZe71SqcB13UJr/imbMtUcL//l3sw6REQU48svv4x9/auvvpr+sNA0+ip+9E/e4U4HuJPQQk+99/gMuPUN4NG/94/Dpf93v8KdO3dWLo//x98rLF6idUS/8ObtqwlME0eV2BqGkelL+Wg0gmmaePXqFZrNZmxivGqfnueh3W7njjcLTdPmjuvu3eLrOer1OkajUeHb3SeapsE0zcTrHwQB7t+/D9M0lwbr6vf7GI1GiQ9ODsVwOMTR0REajQbG43Ghg5B1u110u1202+2lz5pt2zAMA/V6nTXIO1Cm5PijNda5UXgUREQH5M6dO2Gzxu9+97uxZT799FMIIRKbRm/Uz/388ms/y9gH+e3zYmMhyunZs2dzAxFtOtmo1+vQdR2u665MijVNw2Qyged56Pf7cF03/N0wjI3GuWlMKFbr9XoIgiCcbSBK07TwPtpno9EI9Xo99hizME0z/EzYto179+4VEpca8RuYNn+Po17P28ebrq5MzapfCCG+K6X8O1kKCyG+B4B//YiI9tH/9Q+zlfvfvgD+ePU0U0RlMxgMYJomLMuCpmkIgmCp+WpRgiDA8fExWq1Wru2rWtx9T4ajfN9ncpzB8+fTh4f9fj+2Wbtpmns7kNxwOESn0wlbUdh2uYYoirYoSWoNoppTDwYDBEGQuwUIra9MyfEAQE8I8UJK+U/TCs5GtrYBxD9uISKijfsH/wXwH81aRH71j4FPYyrFvmxOB9c6/2fzTah/898FPsswpsnNfxV4/TPgcWS8l8a3/w00fukFgPhm2S9n34Nu3ruH1//HOR6ffha+9+DhD3DrF26v3jHRFTmOE9b6NJtNdLvd/5+9+w9v4yzzhf99SmlC0x9j55KXXbqhGbe9OLYpWzkJlIU3LJHaA4f30B9SAnsW2qRrqXX27XWAVKqXFjuwHFdqWXbZbVopuw4clqWxVPpjF/a0Ukq7QHua2IIWOQe6kdIt7WFrY2vSEkha6P3+MZqxZM1II1kajez7c11zxdI8M/OMJLe+9TzPfetrkJu5ljefz8Pr9SISiXDtWfBIm1XaZzAYDC7rc6NNz3ZCqaalQbFTZ0FoU/6rBbyl/41Ip9P8u20jx0yrJqI4gOcBZIQQ9wkh/mBpGyHEhUKIcQBTAPJE9Hc2d5MxxpiBerNOrz8H6L+g9tZzPjD3KrD3W4sburegP5BFf8B4erW2r+fyWzD30jHsvfcJfZt7iests9ZTFAVTU1P66E/p1MnSUaPlSqfT8Hq9SCQSq/6PZ0VREAwGG1rbvRrt2LEDAHDw4EHD/YqiGGZF7+4uX9G4sLDQ/M7VKZlM6tmetcR1qVTKkYExUD0oNqKN8jN7OCY4LvICeAWAH8C0EOK3Qoj54vZbADkAIah1kBtbQMAYY6wputapo7ozL8I083TpvtFrFjfXucu48JvPBaR+TNx7l+HuA7EvAVI/sNYgU/Vrilp3udZ2anYZHWSrXTweL5veLMuyPhLUrHXHyWQSXq8XsVhsWUGAVppmcHAQg4OD8Pv9jkpmFY/H9f5ppYOWjg4nk0ls3LgRk5OT+nODg4NlJaOMXvd8Pq+XMNKu4fV6216bWgv2urq6yu61tOyP9nqYlfWqxe12I5FIIJlMVpxDm6ZvlCnZ4/GUTV3XPoftkEwm0dvbC7/fD1mWkcvlkEgkHBsUa7S1y4pinuSydGlAtXasBYjIURsAGcA0gDdMtgUA29rdT97a/jmZAUB9fX3EGLMum80SAH3LZrP6vomJibJ92jYxMaEe++SD5cdGQKPXVLY32kavAdE3GtuyEWvXsLJlv7nD2nWfGW3TO8RWAlmWKZfLlT0XiUT0z2EqlbJ8LkmSCAD5fD7Dc7nd7ob6qB27tC/auUOhUEPntUq7r0AgYLg/l8uR2+0mSZLK+pjL5UiWZcPXuPS809PTVa+fSqVIkqSKdoVCgTweD6l/IrdOKBQyfO9yuRx5PB4iIkokEvp7kUqlyO12l/U3FosRAIpEIqbXkSSp6mekUChQIBAgj8ejbz6fz/C11fh8PpJlmTwej+n7V+s+lyORSJAsy/rvRbW+Nvu6AEiW5WWdZ3p6Wv/9Neu79t4u/d13ur6+Pq3fM+SAeKGRzWkjxyCiPBENQh1FjgPIQE28lQYQJqJuIjrUzj4y5zh69Kieabd0Y4zVb+fOnXU9vyzvfxD4YwLebVw+Cu+eUPf/MQHurzT/+oy1SDqd1rP9liodSV7O1OpgMIgjR46U1UI2y3hbTSgUwqFDhypGB0OhEDweD6LRaFtL+WjlmJb2UcuirI2iNioYDGL79u0Vo4ySJLV1/WwkEtFHi7Xpt/F4HOFwuGINrfa6mE2NtkKSJMRiMaRSKX1LJBJV18UnEgnkcjmkUqmmLhOoJR6P6yPFHo9HHylu5hp+O7jdbr18k9nrZ+fr2gijv72FEDh69Gi7u7ZsjguONUR0iIhuJKJNRHQREV1BRFy0kjHGlsHlcmF0dFTfXC4XZmdnMTMzg5mZGcNj9H1iydToq58A3jlq7cIbdpQ/1qY3r99i3H79ltZMb/7tKettT80Cz44tbjzVmlkQi8UMgzat7iywmIG2HoqiwOv16sGbx+PR/8COx+N1r7WNRCKmax/bXUYmHA4jn8/D4/EYTpGVZRkejwfpdLrhzNT5fN70eEmS2raGO51O65+T0unthw5Vjgtpn6HSz5Lf7y/7UkNRlI4LHpfSguJgMKgHxbFYrKPvS0ugt/RLKO33vDTD9tJ13qy1nJStmrG69fX1mf5Bz9iqcmoWODVXs1nPeS6MjY2VPTc2Noa9e83LJQ0MDAAARsM3Yezakh2u9Rje5Yf/ysvUx9+7qvLg9z+oNn2LAhwtGd2YfRx4+nrzjn5noHjxUeDNG83b1at7C3D5F8uvUerDxSRfa13q65kteV02+I3XMTNWIp1OY//+/Yb7gsEg0mk19frk5GRdZZfS6XRFKahIJIJ0Oo1MJgO/349cLteUgEE7h6IoyGQytq/h1AL9amtZ3W63fu+N3LPP59PXrGpB+ObNm+HxeNo6elwaFGmzA0ZGRgy/yJiaUrP2a++PoihIJpPI5/MIBAL66zgyMtLqbrdEJpPBtm3boCgKAoFA1S90OlEikdB/r7V76+7uRiQSKfud6+3tbWMvjZG6xLFCf39/x48eOzI4Lmaq3gF1/fERIrqr+PxGqAm5QkT0ahu7yBhjzvLcvvJAzszAKHDpWPlzvzlp/ToDJSPFa13oeWEfeo4Xr3uBQfvjxYD5HXvKj63nmmc18Y+hYjIv5Eymc88fBnqL08gtfNnAWKl4PA5FUbBxY+0vdCKRSF3Bsc/nM2x/6NAhbNy4EYqiwO/3G9asLaWV3pFl2bT+a2kAMjU1ZWtwrCiKPpqrTfc14/F4Gv4yIJFIwO/3I5lMIp1O619aaOdt18hk6Yi11iezUWzttdESPEmShEgkgiNHjsDv9yOfzzs6a3M9VlJQXMrj8RgmPiud0WC0n7WOo4JjIcR5ABIAtE+BACABuAsAiOi4EOJ+AI8JIf6UatRDZowxZsG8xTIRJ44Cl+5r7BpnrisPyp8dM2tZU/bJB9F/+UdxILILu249ULF/4o6d2BlWg9+Z9N9gwHvz4s7MzcDszRXH6J7epW6MNUAL5qr9MRsOhxGNRpHP55syKquNcmprdIPBYNX1iqVTsHfs2GF4/dJpuu2c0hkOh+v6AqEao/rSiURCfx9SqZQ+zTqdTqO3t7dpI/GNKK2Fa9YHo+BZm2q/ErjdbhQKBX3NdTQaXZEjyEa091+W5RXx5UYncdqa42moibiOA9gPoGKxCxGli23+rhhMM8bY6rKctbC/OVlx7PD2zchGUHMb3r65efdwybA6hbnWdslw5bHF9co7g58xPPXO4GdM1yvP/3KxvFS1bfZE826VrQ5aeZtaozytqHns8Xj0ILLW+mMt0HK73aZ/dDdj1CqTyehllOopDSVJkh74NLOEzdIp2tp6almW4fP5EIvFkMvlUCgU9NeyXWuugcXA1+z1z2QyUBSlavC8UgQCARQKBcRiMUxOTqKrqwvBYLCjSxwlk0l9dN+IlmRtOUnnWGMcM3IshLgFwHoA3tJs1EKIiv8qEJEihIgAGClujDG2ehithb1kWP0XqL6W9pfHgH8tWRv81g+iZ/069BhNiV7qfJSP+F4yXH7data6ljzusbx+1/W2izB649bFJ2a/i5n49abtZ+Lq/bs274Hrre/D6DWL+/5pGrjrO7WvOXoNytdXM1bD0vXAZkqTSU1OTjYtQI7FYpiamqq5/tjtdkOW5arTr7U/zH0+X8MjdOl0Wg9eDh48WBGIa/uM1lOOjIwgHA7j4MGDVUdC4/G4/npquru7oSgKFhYWytoufRyNRhEMBiteIy178+TkZFuDL+09MFt3XSt4XokCgQACgQDi8TgikQi6uroQCAQQDoc77gsCv1/9/6bR8gZt7bgsyytqJkCncNLI8XYAH7RapomIklicfs0YY6vb2h51Le3808b75w+r+5fm0DhdKB/FNaLte9v/qwbl2nZqbvG6tbZlJLLq2dCPsXse17fEY89jIAwMmAzqaPv2TR5BzwUXYexa6Nu6tQ13g7Gq4vG45VEerZ32R3CzlCaR0v74XkobKY1Go4b7M5kMkskkJEkyTSxmhRYMy7Jc8bpo9yxJkuEXClo5Ka0vRvL5PMLhMDZt2mR43dIRObOMzdVGhru7uw0D+q6uLgghmvq+GdFG282CX229cbWkZStVIBDQyzhpU+CrjcI2y9IvWKpRFAW9vb2mnxVZliFJkuH75/f7IUlS1fX2rHWcFBwLIvpRncfYvuBACOETQqSEENMl/0aEEE3tSzOvI4SQhBAJIUTdqReb0Q+7XjPGVq3vDAD/KNTt6RuM2zy9S91vlFHaamC9Zn3z+myT2bl5jN0PfTtZRyWn2RMoO3Z2br51HWUdK5/Pw+v16oGuldHG0tHYcDhseow2dXbpz2ZkWdaDwEwmo/drqUgkglQqVTE1NZ1OY9u2bXC73Zienl7Wuk6PxwOfzwePx1O2bjmTyWBoaAiAmkzM7BqJRAI+nw9+vx/RaLSin16vF4lEouJ4LRCPRCL6MUNDQ4YZm5PJpOH0XC1oXjqiNzU1pbdt5ZRrbVS49P00a7OaRo6X8vl8epCcyWRaGiTn83l9toW2Tr2a0jJhRnWoI5EIuru7y95f7R7y+TwOHTrUcaPhKwYROWKDmpXa6PlHqhwzb3MfEwAKANxLno8Vn/c45TpQM317AESKxxCAVBv60ZLXDMAMAOrr6yPGVp1ClugbaP9WyLbl9kc/u4eK/02ruo1+dg9ln3yw7Lkn/vmrlM1mKfudLxgek/3OFyibzdLLL79ccWz2yQfbcr/MubTPhiRJJEmS/thMKpUq+0yVHgOAEokEERF5PJ6q7SKRSMW5p6enTY+RJMmwP7FYjDweD8myTLIsk8fjoVgs1pwXpyiRSJDH4yG3261voVCICoWCpeNTqRT5fL6yPgYCgarHp1Ip8ng8JEkSybJs+Hq53W4qFAoUi8XI7XaTLMvkdrvJ4/FQKBQyPbfb7dbf7+UIhULkdrsN98ViMQJg2g/tvV5uH+xQ7T6bLZFIkNvtJgDk8/loenp6WecrFAoVv3tLf9clSTJ8nwqFgv67ZdaPVCqlf/YkSSK32234We0kfX192mszQzbGaM3cHLPmGIAQQpxHRK9YbLwNauIuWwghYgB8AAaJqOzrIiIKCiG6AaSEEL1E1PBXVs24jhCCACgApqAGp3kAdaW6a1I/bHnNGGOry/DNt8D/8etrtnO5XJjLPVX23PpzgP63ARPfNa7ReDgP7LwcwFpgaSGn+QXFUl11l8uFnh6uh7waEBl/jsx4PB5LxzQyndLtdtfdH20NZyv5fD7TUkRWmJW6We4x2ihgva+Bdtzg4GBdfapHIBCoWEtdikeNjWmftXQ6jXA4jMHBwWWV5ZIkCYVCoaG+WJkW7fF4apZeY/ZzUnCcBhAH8LElz4ulDYv1jicBjNvQLy0pWABAemmQV2IcaiCYANDQfzGbdR0iKnvNhBAWsuU0tx92vWaMsdWnp6fHcvA592JX2eOBD1xftf2uP7sdu/7sdsN99z38OO6pkghMMzo6irGxMUv9Y4wxI9UC31rJulY7LehMp9OIRCIIh8Nl6/EZq8ZJa45jALYLIQ4LId5V8nzZ16BCiGugjoguENFdNvVNW1hi+ptVDADzANxGGbYddh07+uGUe2GMrWbNXCf9prc071yMsY6VyWTauh60VrIupvJ4PEilUhwYs7o4ZuSYiI4LIW4EcC+AjBBCgRo4yUKIRwB0o3xq8DY7+lVMGqX912eqRvM81LW+fqgj4Y67jh39cMq9MLZqfDirJswCgNwBNfnWUu+eAHp3Aj97yDgpF6vp17/+teW2s7Oz2Ldvn/54eHiYp1oztkKMj48bJviygzalejXUN2asHRwTHAMAEcWFEIAaIHdhMRjWAi1turCP6s9s3ajSr+VqpaDU9jfyVZ5d17GjH065F8ZWjdkXZjD30jEA3cCLBg02dgOzD8H1phdQFqK9/0Hg9z+q/lwrsFZmjGsorxIf+MAHsGfPHgDAwEDl65DNqqWwXC4X5ubmsHfvYi1qv9/PwTFjK4CWkXxpmSe7aOtYedSYsdZwVHAM6AFyCsCtUEcTtRz9CtR1xmEiOmFjlzaX/FyrwJmWVKqRr/Lsuo4d/XDKvTC2Mq11AQOjZY/3jWzH3nufqHKQOlo8uutdGCudd3NWF3BqVq1ZvH6L8aHrt6iB8enVXcpIkiT09/djYmLCcP/hw4exc+dOAMDc3NJ0XoyxlSAWi7V1mm5vby8kSWrbyDVjK53jgmNAnWINIFjc2q2hIn9CCImIahc7tP86dvTDKffC2Mq0tge4dKyxY888uzywPv8dwHP7gOxe82O00eJ37KkIyjtNNptFf38/Dhw4gF27KkfJJyYm9AD3oYcewlVXLU5BL/3ZyK5duwzPyRhbORrJJG5Eq2dbLzsyjDdTo/fJWLs4Mjh2GL1yfZ2BWzdqTylux3Xs6IdT7oUxttQZZy0jsF7X+LEOs3PnTsNAVguMGWOslTotyG3UarlPtnI4OjgWQvwBgE1QRyLzADJE9HxbO2VdQ6OnDr5OLc3oR93nyOVy6O/vt9R2eHgYu3fvrrtTjDmNUbKn4ZG74f/kMQDAwHsrRzizTz6o/rCmq6zM0PDwMFbySliXy4XR0dGy56rVKtb2uVwudHV1mbZjjDHGVoO777677G+OanK5XIt703q2BMdCCC3BlpE8EY0saf8HAPajPDu1ti8FwE9Erza9o8Y4yG3POSw5ffo0jh49aqktrwFkK4VRsqf+/n70bDD/oqj/cjXp1szMTGWiqEuGgQ0WyqF34DTqnp6esi8DxsbGyu5/KS3R1ujoKPz+ukrEM8YYYyvO3Nyc5b+1VwK7Ro7jUOvdXojFjNNJACksKd8jhNgG4FHtYfHfNNSR400ArgBQEEIMEtEzre02gJJpvnWuia13erBd17GjH7bdy5o1a9Db22uprcvVeX/YM1Yvs2RRBw4cMJ8yvLZH3RhjjDHGSrhcLvT19Vlqm8vlcPr06Rb3qLVsCY6JKCOEcAM4jioZp4UQG6EGzJo01FHiEyVtZAAxAI8JITYS0Sut7X3NbMvNOs6u67TqfAsmP7f02r29vVWnSDK2GhiVFVqKk0UtXz3JvGZmZiy9L4wxxpiT7d692/KyxP7+/o4fZbZzzfEdAMaJ6M4qbbTs1AR1ffEVSxsQUR6AVwhxDGq5pz9vek/LlY5m1koYpU8nbiDrsl3XsaMfTrkXxhgrMzw8bGm6tFar2Agn82KMMcZWJrvWHG8D0EtEN9VoWprOLlyj7a0AxtH64PhIyc+11tJqWZobCfLsuo4d/XDKvTDGWJmenh709FifQt5oMq+licB4WQdjjDHmfHaNHAegjhybEkJchvJRxMdqnDMF4ODyu1ZT6ZpoGUCmSlvZ4BinXceOfjjlXhhjrGHLSeY1NjZWdixjjDHGnO8Mm67jBjBVo82m4r8EBwVKxam+WnAnV2tbsr/uoN2u69jRD6fcC2OMMcYYY4xZZVdwLFtInOUt+Tll2mpRN9QEX3YYL/67w6xBMeGYBLU0VdKkjSyECBXbtuw6TdCMfjjlXhhb8bLZLIgIRGSarXpiYgJEhGw2a3PvGGO1pNNpdHV1IR6PN/W8yST/r5Uxxuph17TqE0KI82oEyJ6Sn62MHLtRfbpu0xBRUggfsX1hAAAgAElEQVSRBOATQriJyOi6keK/1TK9TKM4dVwI0VtMLtaK65jprt2kOf2w4V4YYwY4WVTr1JPMi7F6ZDIZKIqCVCqFQCBQ+wAL8vk8wuEwfD5fU87HGGOrgV3B8RSAbQAeMNpZTNhVut74RxbOuR3AfU3pnQVE5BdCpAAcEkL4iUgP4IUQMajBvd8kCIQQQkJ5cioZau3mpl7H4JqbsDhl3S2E8ACYqpUZuhn9aOa9MMYWGSV7mp2dNc2uDJQnkuJEUY2pN5kXY1aFQiG43W54PJ7ajS3iUWPGGKufIKLWX0QIH9TaxBcS0asG+49BDRYJQLxWVuti8q4EEV3Uiv7WuLYPasmpbqh1ebuhjnTHlo4EGxwbARACkCYib422y7lODuVrfUsD4dIAXSGirlb1o5nnMDjnDIC+vr4+rnPMGGoni9JoyaIYYytXMpmE3++HLMvI5XLt7g5jbJUoqXN8lIj6292fRtgyclycYhsE8LwQ4k8BHCKiV4QQH4QaNG+EGhgrqFHCSQixEcAkyss+2aa4Nrahr2OJKIzaJaqacZ3eRo5rdj+aeQ7GVoVTs8Ap89Ff3VoXsJZHMDsKv7fMRDAYRDqdxsLCAmRZxvT0tGG7fD6PSCSChYUF/bHH40EkEilrNzg4CEVR9Da9vYt/EsRisaaOTjPG2Epj17RqAPABeAzFIEkIUbpPe7Ct2rrkYmAdgTr6ubE13WSMsTZ5bh+QrT36i4FR4NKxlneHNRG/t8xEJBLB1NQUvF7zCWXaSHAsFitbk+z1ejE4OFgWUGs/d3V1obu7u6NHjvP5PPL5xQlm3d3dcLvNcpqydlMUBVNTi8Vp+P1inci24JiITgAYFEKEoGYwvqy4S4E6EhwutikjhLgX6trUjVgMogFgvxBiOxFd2dqeM8aY83GyKBvw6C9rAUmS4PF4IEmS4X5FUTA0NASPx1ORrCuRSOhZrpuVyMtJYrEYotGo/tjn8yGRSLSxR6yadDpd9v8ht9ttOhOCMaeyc+QYAEBEUQBRABBCnG8UEC8RhnmW5YVm9o0xxmxzalYdTdRcMmz92N+cBJ4dKzuWk0XZoJ7R30uGy9/f35y0dg2D95YD7dUtHo9DURTDL78kSYIsy03Ncu00HGB1Dp/PBy2XUTgcRjptpfgMY85ie3BcykJgrLWp2Y4xxjrKqbnyQGuDXw2ENhT/AP7OQOUxHy7WKD49DxzaWn4sB1DNt/QLDKsBLgCc+En5+/v+BwH5evVnfm9ZHY4cOQJAHSU2ChI9Hg8GBwft7pZjxOPxstHkhYUFdHd3IxwOm66vjkajOHjwIPbv3w9Zlk1H7c309vbC4/HoSc9kWYaiKMjn80in04jFYkilUpBlufbJliGTyWDbtm04fvx41XvQ+pTJZPS17R6PByMjI1WPc8p9GonH40ilUshkMsjn85AkCd3d3fB4PAiHw3qfFEXBtm3bmvIFi7a8AUDZ66at8Z+enjadRq4oCrq6usqOVRSFv/xxoLYGx4wt19GjR5euXwcA2JGFnbGmW9ujbrkJ4/3zh4HenYDCGdptsfQLjIuqFlIo91qh8jmpn99bVjftj/xgMLismsXa9OyVMi1ZC3qCwSBSqVTZPr/fD6/XC4/HU7EPUL9wyGQylr9UWLrWO5/PIx6PIx6PG7aPRCK2BIx+v18PzMwEg0EsLCxgZGQEbrcbiqJgcnISwWAQ0Wi04t5KOeU+S0WjUYyPjwMARkZGMDIyon/Bkc/nkclk9Pc+FothaGgImUxzKoZqI+P5fL4s8V21oFgjSRIKhQLC4TDi8bjev3Z8sdAMRn97rxRntLsDjDHGoI4m/qNQt6dvMG7z9C51v9HII2u9t39MHeF95+eN97/zC+p+oyny37uK31vWkB07dgAADh48aLhfUZSydbma7u7yFWlaluuVYmhoqCxZV6n9+/cDUEdMw+HKIiFmxxmRZdnylHVtFDAUClk+f6P8fn/N+9DuPZFI6MGbJEkIBAL6lwZatvR62HmfGkVRMDg4iHA4jO3bt6NQKOj1wbWRWFmW4fP5kMvlIEkSurq6WlLvW5blsizxVn+3JEnSR+HbNeLOauORY9bRuM4xY8w2pdOdjfz4dnUzMHsCmHu19iVc5wI95zfQN7Ziud1uJBIJ+P1+RKPRsoBEGz3VgsFSHo8H8Xgc+XwesiwjmUxWzYjdCEVR9OmtU1NTpqOYiURiWaPeRjKZDBRFQTgcrgheJUmCJElQFMUw8MtkMgiFQujt7a34EkGzsLCAcDhsOPIsSRKOHz+uZ9OWJAmbNm2qe3p2o6wEfNp7UygYzGKB+vlwu93IZDLw+/2G7dp9nxotMM7n8wiFQhXly4xEIhH9NWiFQCCAcDgMRVEQiUQsl0iLxWKW+u90ZjM0S+ocdywOjhljzCE4gFq59qWBvd+q3W70GmDs2tb3h3UWn8+nT8ksDXAlSUIikTAcgYrFYlhYWIDX69XXi8Zisab1KRqNIhwO69m2I5EIuru7DQOnVtRWDgaDGB8fx8jISNV2S4NfRVEqRv6MDA4Omr62gPrau91u20sVKYqC8fFxTE9PV53amk6noSgKent7TUcpg8EggsGg/iWC0fvUrvsspY2SW3nfSsViMaTT6bpmCtQjEAggGo3q16g1Eqy9zitlacNKxcExY4w5BAdQjDEzkiTVHdy26o9wr9eLdDpteRSvFUKhkOm03nw+r49iL83yPTU1VTNYDwaD8Hg8LQnql8vv9xvOFFhKCwi15FlGU8NLg7lWBZDLlUwm9dH/Rj5r4XAYwWCw2d0CoK551pY0RCKRmr+fK7Xk2krDa44ZY4wxxmzm9/vLpnxqI5pO5/f7MTU1hVwu59jpoVq/3G53RTCiJUIyk0wmkc/nHXlv0WjU8iiuz+eDLMtwu93Yvn27YZvSafBm08vbTUu+BaChqflm994MkiTpfdJKrlUTi8VqznRg7ccjx4wx1gazc/PYd//i4+E7ngCO/hOAu2oee/J3dmDs/sXkPMOb59Fj7xIwVsPsCXUmgMY//BX4P/9B4IUHMPDhynXJ2e98AdhwNfDqMYzdeZX+PL+3nSGZTGJ8fBz5fB7bt2/Xg694PI5YLAZFUSBJEnbs2IFQKARFUfQgLBAI6GtInf6HczKZRDKZRC6Xc2wgX5oN2Gi9cDX5fB7hcNhyaZ1wOKyXRwLUkVgtK3SzZTIZHDx40HLfZFlGLper2kYrEwagap/tvM9SiqLomaYbvZa29KAWrSTYwsKCHuT6fL6aX5KMjIzov7/xeNx0NkMymSxLHsYcjIh4463jNgAzAKivr48Y60TZJx8kAPqWffJBevmxPZSNgLIRlO3T2xT3PXHvRyuOZS1QyBJ9A4tbIas+f2yi/HltOzahH5pNfaX8PfrOF9XjC1nD91bbl338q/zedphcLkcej4eIiBKJBAGgUChEPp+PAoEAFQoFvR0A8vl8REQUiUTI5/ORz+cjt9tNqVSqbfdglSzLFAqFbLteKBQit9tds53P5yNZlvXfm0b76PF4KBaL1WwHwPA9i0Qiy7p+NW63m3K5XEU/AOifsXpJklT2mVxqOfdp9b2rZnp6Wr9Hsz4uVy6XI7fbTZIkld1nLpcjWZZJluWK130p7bMnSZJpG7fbTdPT003rt1P19fVp79kMOSBeaGTjadWMMdYOa7oqHvesX4f+C4CnjxkfcjgH9F8ArO+uPJbZ4PS8Wod4/Rbj/eu3qPtPzQJnnVe+b+Ew8J0BTISMSzUdCA+oZZxmHy/fwe+t44XDYb1kjjYqFI1G4fV6EYvFKsrMJJNJPVtyIpFAIpHA9PS0I9e3lspkMsjn8y1bv7kciUQCuVwOhUIBiUQC8Xgcvb29dZUoSiaTmJqasrQmNBQK4dChQxXvWSgUgsfjQTQabWqW5GAwqNfzbZZoNKrPaDBbw2z3fS5Vug66VdO+vV4vMplMxX1q5ZasfOa1339tRshSyx39ZjZrd3TOG2+NbOCRY9bhslnjEcRGtmw22+7bWZl+/TLRM6OL2/Qe4xHjpdszo5SdfoLf21VClmX9Z21ETRtJXioQCBAAikQidnWvaWKxWNWRsVZodPRRG6UHYGkkmEgdRW3G6KQ2e6BZr1Uikag6sosGRo61EVlJkhoezax1n80eOTb7nVqOUChU89wej4cA1Bw91kbhjc7l8/kokUgsu7+dgEeOGWOMsZVqbQ9w6djiduY668euWd+iTjGnKU3upK1xXZohWaONhNVaC+pEuVwOiqJACFH3ZqUubzPJsqyPAAeDwZqZmJPJJBRFaUodaG10t3S9bKO0sk1WslPXc85t27ZBkiRMT083PJrZzPusdQ0A+nrnapLJJLq6utDV1YXe3t6yTXt+aXsAVd937fWpdY/a521p6Sjt9Wl2nW/WOpyQizHGGGOsQaVTMbVpvGZTpKempgCgI5PyrF+/3nJyo6XaMWV8cHBQ/zmZTJomSgIWv+DYtGlT1XMqioKhoaGq9XZL39upqallTaXVyjY16/OiKAoGBwchyzIOHTpkel6779OMVkM7nU5bCsB9Ph98Ph8URUE+n9frIwPA9PR0WbCttQHU979a8jaPx1NzSrtZWad4PO7IpQjMnGOCYyFE2QItInqlZN+FACIAPADyAO4joi/Z2T/GGGOr3CXDwAbjEcEya11Abq71/WGOov3xLsuy4R/SmUxGz4LbjBFKu8myDEVRHLE2OplMYmhoCJs2bTINakrfg9KszEa0LzVqBUDxeFwfbdyxY4dhQNis8khafeJt27bVbLtx40b95+PHjxsGvdqIsdvtrvkFh533WUs4HNbfn2QyaWkEVpIkveSVFgDXysa93PrDWlmnZDKJeDyOSCSi1ya3mmGcOYOTplU/BqBQ3KaFENcAgBBiI4BpAD4AXcX9nxVCHG5XRxljjK1Ca3sAqb/2tran3T1lbVBr1FgbSXK73Y4IMOul9bmeJFetopXHSqfTpv0pDd42b95seq7S42uN0GrBc7Vaw6VTapfzPsuyDCJCoVAw3A4dOqS3PX78uP682T1s27YNmzZtMgyMw+Fw2dR3O++zFo/Ho59fS3zVDJIk6a9VrfrEVpWWYtO+YODyTZ3HScFxGMBxABcR0cVE9K3i8zGoQXGeiM4goiuIqBvA80KIP21XZxljrJmy2ayeDGJiYsKwzcTEBIgI2WzW5t6x5dLeX35vVy5tBNNsVHhychIADIOTrq4ufX2utjay9Llqz9daT9ss2hTXWnVf7aAFb7Ism06FLh0trha81bNe1u12Q5blqiOBBw+qNeh9Pp9jgqLBwUHs2LGjbH18qXQ6XTZq7rT7TCQSkGW57mzptYJeLZjV7sVMPB639KVQ6ZcJ4+PjGB8fd3ztclbJScGxB4CXiI5rTxRHjT1Qs54tncs2ZPAcY4x1vJ07d9b1PHO++fl5zMzMYMsW4zJQW7ZswczMDObn523uGWsW7Y9no8RBwWAQiqIgEolUTN1Np9NQFAWxWKxipFCbQhqJRMqeJyI90GnllNalIpEI0um07Qm2lgoGg3rwZjaFWCsxFAgEqk6prSc5mlaOS1tbulQmk0EymTQtj6Qoiv7lhl2vodfrhSzLcLvd+ki79h4mk0lEo1FkMpmy12i599lspcnD4vE4/H5/zcA3n8/ra/zNaCWptPsxO084HK65Hl2jBe9a/7h8Uwdqd7psbQNw0OC5IQBvAJg3OebRdvebt/Zs4FJOrMO9/PLLNDo6qm8vv/wyvfzyy5TNZk3LPGn7stlsxbHMWZa+v3v27LFUumnPnj383nYgreSMLMsky3JZ2Zda5ZuqlXnRysOYlZGxu7QS0WK5qlQq1fJrVSsHlEqlSJZlisViZa9PLpcjt9tNACgQCNS8hs/n03//rPJ4PBQIBMpKKKVSKZIkidxut+n7pZU/0j4ry6G9DwBMPz9aGaJam1lfGr1PouaUcjISiURIkiSSJIlCoRBNT0+X9W96eppCoRDJsqz/XO29LRQK+mcgEolU3Kssy3V/1rXf29VSvqnUSijl1PYO6B0BJo2eKwbHFYFzcf8j7e43b+3ZtODYbGOsE42Ojlr6Q2Z0dLTdXWV14vd2ZdMClUAgQNPT0+R2u8ntdpMsyxQIBEyDiEKhYBqYaLV6zQLgQqHQkuDDCi3gD4VCLb2OlQArEonor7Usy+R2u8nn81mu35tIJEiSJEuBdKlYLEYej0e/rsfjsVRT2e1268FdvQqFgh54aZ+NpY81pcFzra1and9G77NVwXFpv3w+H8myXPZaGPXPymchlUrp59Puc+kXA1ZFIpFlf/nhdBY+Vx0bHDsmWzUAo7lk2pRqszSD9s0lYowxxhgzULre2O12W85Ou7CwUHUdKFB9vWy71jPGYjEMDg4iHA4jHo/D4/HA6/Wiu7vbcJpzKxM2hUKhqmWaatHK/9QrEAg0lOFY+2yUlpqySpIkFAoFS22X+7poGr3PVqunX1amNpcm/lquZr32rD2cFByXBbrF9cYS1OC4YhW8EOIyqFms2SrW19eHmZmZdneDMcaqGh4eht9fO02Gy+WyoTes2bRAtt71hWZln4DaCb600jHtogUn8XgciUQC4XDYdB1oIpFoa1+dyM614ow1mzp4XKm/vx9Hjx61uTfN5aTgeEoIsYeI7io+1tIh5onoR6UNi4FzHEDt4m+MMdYhOIBauXp6etDT01iJp9nZWczN1a6b7HK5Gr4Ga5yW7ViSpJp1cuthZeTYCZw6suhkmUymqZ8VxljzOCY4JqI7hRDHhBA7oI4Y90IdNdZztgshLiw+DgFQoJZ4esX2zjLGWAssJ4ByAiLg5Elg3TpAiHb3ZuXY95U7sfeLd9VsN/rZPRj7iztt6BErpQWxVrPZWpHP56EoStMDbuYMXOKHMedyUiknABgEkAEgoE6lvoKIHgMAIcS1xX1BACeKbeJt6idjjLESzzwDvOc9wLnnAi4XsHs3cPiwGjCzZZo3S7vRYDvWVNqa4WaWbNEC7u3btzftnMwZtNJdXOKHMWdyzMgxABDRCZSMFC/Zdz+A++3tEWOMsVq+/33gIx8BTpxQH8/PA/v2AZOTwEsvAWed1dzr5XJAIqEG4rt3N/fc7Tb7wgz2jS/e1PDI3ZaPPXnyJMZu+kDZsT0b+pvZPVYiHA7rdWAlSUI0GkU0Gm3K+tpa641XE0VR9C8Luru7Oz6ojEQiSCQS7e5GSyiKotcWzufzbe4NY41xVHDMGGOss/yv/wVccw3w619X7vv4x5sXGB8/rgbEk5OAlgj47W8HhodX1hTuuZeOYe+9T+iP/Z88huHtm+HfqD43EK48JlvM0DF//tuw9caHyo7l4Lh1IpEIIpFI7YYN6JT1xnbI5/P6lwQ+n6/jA0vti4+VKJ1Ol+XN6PQvMtjq5JjgWAhxXuljInqlZN+FUBN0eQDkAdxHRF+ys3+MMWbJqVngVO3kSVjrAtZ27vpiADh4EPjEJ4DXXzfef9111Y8/cUId/T3DZIHP888vBsTFwYgy//7vwJEjwJYt5tf4m78B3vIW4JOfbP4Itl16Lr8FPZddj4mv3AbgwYr9h09fjZ3/3xcw88wUgIcq9rPOok27lSTJsCzSatLKLyBY8/l8PtMsxox1CscExwAeA3BZ8ee8ECJMRN8qZqaegpqkSwAoAPisEGIHEVX5k4gxxuw3+9SdmDtSO3mSa/Me9PxR5yZPiseBG280X1N80UVArUGD3bvVKdmf+IQavF58sRrwJpNqQHz4cO1+JBLmwXGhAHz2s8CrrwJf+AIQDgO7dgFr19Y+r1MMvPeqmm12fe4B7PrcAzb0hrVKPB5HJBLBwsKCHhgrioKuri50d3cjGAxy3VTGGLOBcMo3PEKIbQBiALxEdLzk+UehjhjniOjikucnATxKRH9ne2dZ2wkhZgD0cZ1j1nanZoHn9ukPx+5+FHvjT9U8bDRwOcZ2X7H4xCXDHTOSHIkAt95qvO/ii4EbbgAuvBDYscP8HK+8Arz1reXTsWUZqHeZ2oYN6giz0dTqvXuBsbHy537v94BQCBgaAs4+u75r2WHmqYcsBcRWZJ98EP2Xf7Qp52KMMcZqKalzfJSIOnJdj5NGjj2oDIw3Fp8nAEuLfw4BmATAwTFjrH1OzQHZvYuP37BYzuWN18uP2+B3fHBMBIyMqMGxka1bgYcfBs47z3h/qWSycp1yPYHxZZcB27cDfr9xYPzKK8Bf/VXl8//3/wL//b8D/+N/AHv2ADfdBJxzjvXrMsYYY2zlclIpJ7k0MC7SMlEoRPSj0h3FzNYrKA0LY2xFOH+gue0c4re/VadRmwXGH/kI8C//Yi0wBoCvfa3+PrzrXcAXvwg89xyQyaij1729xm2//W1AUczPNTurjiBfeKF6Ti3TNmOMMcZWLyeNHBsFuloNg7TJMc6YE84YW7Vm5+axr6TInP/dX4W/GEBWyywMfBVjJccNb55Hj0Nz77z2mrom+OBB4/3/7b8BBw4Ab36z9fOdc46aiOuNN6q3vfTSxRHiSy6x3uePf1xd9/wXf6GOZpuZnwduuw24+27gm99UR78ZY4wxtjo5aeR43uA5bUr1EZNjulvXHcYYq23uFwXs/Rb0DQD6L1A3I6X7So+b+0XBng7X6Ve/Aq66yjww3r0b+J//03pgDKhZo7/9beDFF4E77wQGlgyiv/OdwOc/D/yf/wM884yaVKuewFizeTPw0EPAj34E+HzVSz79/OfABz+ojozXCtjtlH3yQRARiAgTd+w0bDNxx04QEbJPVmayZowxxph1TgqOywLd4npjbRylYuRYCHEZgGkb+sUYY3WbeNz4+QNPGD/vRIoCXHGFOl3ayG23qaWSzEox1fK7v6uu+332WTUInpxUA+JnnwVuvx14xzsa73upd71LzWqdzQJ//Mfm/X3jDXWq9tVXq5muHePULKDMYGfwM4a7dwY/AygzwGtV5pEzxhhjrCYnTaueEkLsISKtBoo2+TC/dL1xMXCOA9hmZwcZY6wWo6nUpXbF1a0TPP008JRJ4u0vfQn49Kebcx0h1OnTl17anPOZ6esDvvENYHQUGB8Hvv51dS31Ug8/DAwOAvffryb+spPrbRdh9MatZY9rlQebiReH3jdeV3EsY4wxxqxzTCknABBCHINax1gC0At1SrWXiB4r7r8QQBBACIACwE1E/96WzrK20ko5me130uearWzNKr3j1LI7Bw6otYE1Z5wB7N9f/lynyueB668Hvvc94/1r1gD33APsNJ7NbJuxmz6AvffWnnIweuNWjN3zeOs7xBhjbFUT1dYpqTq2lJOTplUDwCCADNTkXGkAV5QExtcW9wUBaJmqO2T8hTHGOtPOncBf/qX681lnqdOTV0JgDKh1lR97DLjlFuP9p08Dr79ub58YY4wx1j5OmlatlWcKmuy7H8D9RvvY6tXX14eZmZl2d4MxxyMC5uaAF14AfvYz9d/S7etfN0969alPASdPAu9+N+D1GrfpVGeeCUSjwHvfC1x3nVofWfOJTwBDQ+3rm279ZgAWFquv39zyrjDGGGNmMzT7+/tx9OhRm3vTXI4KjhljrOOs6XLUeV57DfjBD4Dvfx84fnwx+P3Zz4BTp8yPO368ekbo225rSvcc66qr1NrJ116rJgcbGFCnVNeeOdZ6wzffAv/Hr6/ZzuVytb4zjDHG2Arm2OBYCHEe1FJOm6GuQZ4GkCai59vZL8YYK7NmfdnD7P03of/UPTjwhHHirYkAsHMrMLP2Jgxce4/peawiAo4dAx55RN2++111lLdeL7zQ0OVXlN5eNQHZnj3AzTcD69a1u0eqnp4e9PT0tLsbjDHG2IrnyOBYCDEONemW0b4YEQ3b3CXGGLNk/sSvMDMHbOk13r+lF5h5EZh3/WrZ1/re99SpwMePL/tUHBwXveUtwN13W2urKIAk1W7HGGOMsc7gtIRcEEI8AjUwFiZbUAjxXHFkmTHG2srlcmF0dFTf/unZszEQNi/ppO37p2fPLjuukSmxF1zQnMAY4OC4Xt/4hjoNPZ1ud0+YUyWTSfj9fvT29kIIga6uLvT29iIcDiOfz+vtFEWBd8lifq/XCyGEfpy2ac9Fo9Gy443alrYvvZ4mn8/D7/djcHAQvb29GBwchN/vRzKZLOuHonD9bMbY6uGokWMhxL0AvACSAA4CyEMt2QSoU6s3AdgOtb7xJID/3IZuMsaYrqenB2NjY/rj0p+rWXd+T9W2p04B3/62ugbWzMaNwMUXA//2b9b6um4d8Pa3Axs2LG6///vqvxdfbO0cDJiZAQIB4Fe/Aq64AvD5gPe/H3jf+4B3vlNN8sVWr2g0ivHxcQDAyMgIRkZGIMsyJElCPp9HJpOB1+uFz+dDJBKB3+/H1NRU2TlSqRQAIJPJYHBwEAAgyzKmp6chy3JZW0mSQERQFAXj4+N64BwKhTAyMgLJYHpDOBxGPB7H/v374fP59Ofz+TwikQhisRjcbjfS/O0PY2yVccz/woUQl0ENfN1E9COTZj8EsF8I4QHwqBDij4jou7Z1kjHGbDA/D/zhHwI//alai3fjRvO2V15ZGRx3dQEejxqsbdy4GAhLkjMSTHWyV19Vv7D4VXFWPJFa3iqRUB+fcw7wnveo79/73qdm+D733Pb1l9lHURRs27YNmUwGgUAAsVisoo0sy5BlGT6fD+FwGL29vcjn84YBLAC43W5IkgRFUeB2uysC41KSJMHr9erB8ebNmw3PG4/HEY1GkcvlKs4nyzJisRji8TiCQcPiIYwxtqI5JjgGEAAwVCUw1hFRWghxK4AbAXBwzBhzjOHhYfj9/prtqk2jvvVWNTAG1CRbN95ofp4rrwT27VODsCuvVLfNm4E3vanenjMrSt8bI7/8pTrVWhtwO+MM4F3vUoNlLWC+4AJ7+srsoygKBgcHkc/nTQPjpSKRCACUTRr/7q0AACAASURBVJG2QzAYRCAQqBpoBwIBpFKpsinWjDG2GjgpOPYQ0U1WGxNRVAhhcTIhY4zZY7mZhZ95Bvj7v198XCs49nqBX/xCHS1mrXf77cDRo8Djj1tr/8YbwA9/qG5/+7fqcxs2qIHyBz4AfPzjPLK8Evj9fuTzeX3k1apIJIJkMomFhYUW9m5RJpMBANOR6lIjIyMcHDPGVh0nBccn2t0BxhhrJyLg059W/9UcOgRks0BfnzoKudSaNerG7PHWtwKpFPDFLwJ33aWOFNdLqz39zW+q07EffbR1091nX5jB3EvHarZzve0i9Gzob00nVrhkMqmvzdVGg+sRDAb1NcqtpgXhVtYSa1O6GWNsNXFScHx+A8d0N70XjDHWJv/8z8Bjj5U/9+qrwMMPAwMD7ekTq3TmmcDoKHDLLcCRI8APfrC4najja163G/ja11q7Dnzf+G7svfeJmu1Gb9yKsXseb11HVrDSwLY0uZVVPp/PtuB406ZNANQR5HA4XDOY379/PwfIjLFVxUmlnE4IId5utXExgVeTipgwxlh7vfYasGdP5fMXXWT8PGu/s88Gtm4F/vzP1cziCwvAj38M3Hsv8Cd/Uj2R2n/9r8C//ivwe79nX39Z8ymKok9VdrvdDZ1DluWGRpwbIUkSQqEQAHWtc29vL6LRqOlIciPBPmOMdTInjRzHi9uVdbS/r3XdYYwx+9x7L/Dcc5XP33kncNZZ9veH1e+MM9QR/oEBQEv0+/OfqyPK3/+++u8Pf6iuM/7qV5ufNG32hRnsG9+tPx4eudvysSdPnsTYTR8oO5anWddWWj+4WoKrWgKBQDO6Y0kkEkE+n0cymUQ+n0c4vFiUXZZleDweBIPBhoN9xhjrZIJKF7e1mRBiAcBhAGEiesakzR8A2A9AIiKuzLlKCSFmAPT19fVhZmam3d1hbFkWFtQR4kKh/PmtW4HvfpfLL60kJ0+qa8jf9S5g7drmnnvmqYcw8N6r9MfZJx+E620X6WuOS/eVtgGA+ZdfwNarby57vv/yjza3gytQMpnUs9NbzVJdr66uLiiKAqB2Ii2tHQAkEomqI7/pdBqRSMR01Njj8ej1lhljzIr+/n4cPXoUAI4SUUd+w+qkadUA4AFwBYCMEGJeCPFIyXZECDEPYBqAGwAX4GOMrQif/3xlYCwE8OUvc2C80qxbp5bdanZgbKZnQz/6L/8onn7iQcP9h//1IfRf/lGs/50N9nRohSkdLW51xmmfz4dCoVB1qyeY1YJfIsL09DQikQg8Ho++P51OY3BwsBW3whhjjuWo4JiIMlCD41cAdEENlrXNXXxOANhORI+ZnYetHkePHoUQomJjrFP89KfA3QazX6+/HrjsMtu7wxzgtdeAl15a/nkG3nuV/t/EG0a+athm160HIIQwHFVmtZUGx6VTrOtVOuLbDm63G6FQSA+WtTXQmUwG8Xi8rX1jjDmP0d/eQght1LijOSo4BgAiSgO4EMCdUBNuieJ2Auo6414iur9tHWSMsSYKhYDf/Kb8uXXrgL/4i/b0h7VXoQB86EPABz+oTrdnziZJkr42V0vM1Qi7Rmjz+bylfoZCIX2KeCumijPGmFM5LjgGACI6QURhIrqIiM4obt1EdCMRcYZqpuvr6wMRVWyMdYLHHlPLNC0VDnMW49UolwMuv1z9XDz3HHDNNeooMnO2kZER/edkMln38fl83rZySZlMxnKwqyUJW86IOGNsZTL625uI0NfX1+6uLZsjg2PGGFvpfvtb4FOfqnz+gguAz3zG/v6w9nrqKXUt8k9/uvjcE08AgQDA3/c5m8/n09fqlmZ+tioWiyEYtC+NytTUlOW2kiQtKws3Y4x1GscEx0KIy4pJuH4hhDiv3f1hjLFWOnAAePbZyufvuEOtn8tWF0mqnF4PAF/7GjA+bn9/WH0SiQRkWa4ojVSLVlLJzlJOmUzGNEN1KUVRoChKWZIuxhhb6RwTHANIQE241QVgU5v7whhjLfPqq8Btt1U+v3mzWgOXrT7/6T8B998PnHlm5b7PfhaYnKz/nNknHwT9+mVQIYuJz19t2Gbi81eDCllkH/9q/RdgOkmSMD09DbfbjWg0amkkOJPJwOv1tqVckt/vr7n2eGhoCLIs68m5GGNsNXBScKxATbi1nzNRM8ZWsjvuAF5+ufL5L38ZOMNJ/1Vmttq2DbjnHuN9n/wk8L//d/3nnH3qTszEB7BlzQOG+7eseQAz8QHM/8R4P7NOC5AjkQgmJyfR1dWFaDRaFoQqioJ0Og2v14uhoSGkUqmq05bz+byeyTqTydTMal16rSNHjpi2j0QiGBoagtfrRTqdLmunBe2ZTIbrHDPGVh3hlORFQohJItpe5zHzRLS+VX1arYQQMoAcAD+APIA8EdVdZ0IIEQKwHsDBYpkuo+sEAeSIqK5aEUKIGQB9fX19mJmZqbdrjLUNEfBf/gvwL/9S/vz27cDBg+3pE3OWcBiIRiufd7mAp58GNm40Pm72hRnsG9+tPx4euRv7xndj771P1Lzmnk9swrp168qO7dnQX3ff2aJ4PI5UKoVMJqMn3eru7obb7UYwGKw6XVkLWjWSJJUFsJFIBKFQCIAacG/cuFHfryX3Kn08PT0NWZaRTqeRSqX00eBkMomDBw8in8/ribc2bdoEr9ern58xxqzq7+/XyjkdJaKO/J+Ik4JjD4AhItpRxzFvEJGt4yxCCB/UgK4bwELx3zSA8UYCyFZep9FzFI9L1NtnIiorMCyESADwlTyVhzpDQAYglTw3WO9rx8Ex62REwEMPAbfcAhw7BqxZA/zkJ8CFF7a7Z8wJ3ngD8PuBb32rcl9fH/CDH6hrlK0Yu+kDloLj0Ru3Yuyex+vrKGOMMVZiJQTHjpnAV6xvPCmEeEQIYbw4qoQQYiMAWyP7YrC3H0CYiAaJyEtEg1ADvePFAN8R11nmORpJTWkwzmF4XjcWA+MkGgiMGet0QgBXXQXMzAB/+ZfA5z7HgTFbdMYZwNe/DmwyyL5x9Kg6y+D11y2ebP3m5rZjjDHGVjAnjRxr+Ti7AAwVf84XNyObAMCuadVCiBiAANRgzmiKsDZK2ktEDRcFbMZ1lnuO4n43gAzUEWdAHfE14gGAYuBtdB65eI5NUIPifPG840Z9s4pHjhljK93Pf66Wd/rZzyr3BQJqFuvXX1dnHpiNJM/OziKTmcNPfqK2feMNdfR540b1SxqNy+VCT09PxbFzc3M1+2l0LGOMsdVnJYwcOyk4XgBwvvbQ4mEFO4Lj4ihrCkCaiLwmbdwApgFkjAJFu67TpHNMQ53iXjV4FUJIAI5DDcLNguyDRJSsdp5GcHDMGFsNnn0WeN/71AznZnbvBv72b83333038Gd/Vv6cxwN85StqlmwzY2Nj2Lt3b80+jo6OYmxsrGY7xhhjK9tKCI4Nika0zQLUkcUogHkL7b0AGgpCG6AVLTRdh0tEGSFEHoBbCOEpThNvx3WacQ7J4qhuAuq07YZHyhljjJm79FI1UdtHPqKO+hp57bXq5zjrrMrn0mn13J/6FHD77cC55y6/r4wxxlinc1JwrACIENGIlcZCiPsB/Ftru6SPjmrrc6dqNM9DnUbsh5r4ytbrNPEcNftezESNerNMM8YYq8+HPqSO8i4d/dU0EhwDwG9+A9x5J/AP/wDcfvss/uM/9ulTrYeHhy337+TJk2Ujx8PDwzzNmjHGWEdyUnCch1o+yBIiygshrE6/Xo7SxFW1Ekdp+xtJzNWM6yz7HMXkWMFqBxanZY8AMCkowhjT/Md/AN//PnDtteVrPBmrx+7dwL/9G/DXf125r1Zw/OY3V9//858Dw8NzABanUPv9fgwPD8Pv9wMABgYGKo7LZrMAgPn5eWzdurXsWA6OGWOMdSInZaveTkR/V+dhXS3pTLnSFJ4Lpq1U2vTiRrI9N+M6dvU1AcBfT5ZpIYRPCBERQiSEELFiuSjGVrzbblPL8mzdCkzVms/BWBVf+pKa2fxtbwPOPltNwtXTA5xzTvXj3v524OqrgR07rGdFf+UVoKenB/39/Xj66acN2xw+fBj9/f1Yv96WvJiMMcZYyzkmOG4EEZ2w4TIWq0mWK05Ptvs6Le+rECICIF/HmurNJVmrY0TkBxADEBFC5Iqj0IytSD/6ETAxof78ve8BmzcD110HzM62t1+sM73pTcDevcCLLwInTwKFAvDyy0C8xuKWP/xDtWbyffeppaDGxoC1a6sf8973DkAIASEEbrjhBsM2u3btghDCcFSZMcYY60QdHRzbpFv7oc56vN21mzT9Oi3tazGIDmEx6ZcVAaiZr6Na4q5isq9BqAHztBCikdFrxhyNCPj0p9V/Sz38sBrkMNYOb3kLMDqqBslXXdXu3jDGGGPOYsuaYyHEFIDLqrUhooo/F4UQQ1ADMQKQhFob95WWdLL5GhrFbdN1rJ5jP9RRY6v1iWNQs1lXBOpEpAgholCD7RjU7ON1y+Vy6O+3lil+eHgYu3fvbuQybLU5NQucql3fFWtdwFrjtZWPPgp897uVz3/ucwDPQmXttnEj8MADwCOPADffDDz3XLt7xBhjzInuvvtu7Nu3z1LbXM5y+ijHsiU4JqJNQogYgKGSpxUAkwASRHTI5Lj9APYLIc4HsB1ARggxTkR/3/JOL1qJQW7diqO7PgCWs1NbmHqdghocexotf3X69GmtnlpNc3MWgh3GAMw+dSfmjtxVs51r8x70/NGdhvsikcrnLr5YTazEmFNceSXw4x8Dt94KfPnL7e4NY4wxp5mbm7P8t/ZKYFu2aiIKCiEKUIMhyyWbiseegDpquV8IMSmE6CWiP29VX5fQRz2FEFId05XrmdbcrOu0sq9aButpi+e0orQ+shd1lr8CgDVr1qC3t9dSW5fLVe/p2WpxahZ4bvFb0X33/QB7LXwNNHrjEYxdXn4sLhnG9EyP4ajxHXeYl9VhrF3OOgu44QYOjhljjFVyuVzo6+uz1DaXy+H06dMt7lFr2RYcF0d/fQDcRPSjRs9DRNuFEI8KIa4mogea10NTtbI+N+u4ZlynlX0NFP9tZr7d0us2lJirt7cXMzMzTeoOW7VOzQHZxTI2eGNT48du8OPOOyunWr/jHbzGk3WOiy7K4tgxdcnK5s0HcOTIroo2ExMT2LlzJ2ZmZjgpF2OMrVC7d++2vCyxv7+/40eZ7axznAYQXE5gXOJGAEcA2BEcl46qdqP6KKs+rbnOhFjNuk5L+iqE8JS0t3RfQogUgE1Q1xxbmYrNSblY28zOzWPf/YuPT/5OLyx9D7R+c8WxV10wj0SisumePcAZnAKRdYhkEvjnf57FX//1HMbHt8DjqWyzZcsWzMzMYH5+3v4OMsYYYy1gV0KuawEcN1tbXC8iyhfr5f5pA7WR63Wk5Odaa3q1rM/1BsbNuk6r+lqaLKvmKHMxmNb+lArD2jrlRl4zxppi7hcF7P3W4uMnbj+I64trhgcMcrNni/tc596FuQfuKju2IBXwxhvl7d/6VuBP/qS5fWasmVwuF0ZHR/XHv/u7Lrz++j7Mze01DIwB6KPFe/bsKTuWl7AwxhjrVHaNHAcAGKSnWZZU8bytDo5L18HKAKplatZGP+teO9uk67Sqr/qUZ4sj4qUBdLXzl44WN3O6NmPLsv4coP8CYOJx4/2Hc8DOrerPc6+W70unKtvffDOwZk1Tu8hYU/X09GBsbKyhY88+e13DxzLGGGNOYldwLKP5wU8G6rTdliqWHMpADRBrTf3V9h9sx3Va2FeTcQNjRJQRQigAttUo+1T6/sXquQZjrWQ0WlxqV1zdjJxakodi3Trgxhub0y/GbPWbk5aaTf7jSXzmM8B557W4P4wxxliL2RkcN9sC7CuzNA4gAWAHgKhRAyGEu9ifPBElTdpo5ZDSJkFjM67TlL6aqGfq8yRqj177i/+avR6MdbyhIaCrq929YKx+w9sAv4WA96tPAB/7GPDww8CZdmYyYYwxxprMrv+NnYAaKDUjGZdGhk3rVIkoKYRIAvAJIdwmgZw2bdxvsE8zjWJAXyxHVVrKqCnXaWJfUexn6RcQ9WTDDgOYFkJklt5n8bw+qCPSipV+MNaJ3vQm4FOfancvGLPgVGVJsp7169BzQe1De84H1p0eQ+ovgQ/9Z/VYrK3M2M4YY4w5nV25U/No/hToTWi8dFHdiMgPdf3soWLCKZ0QIgY10PObjYAWg8zSQNNwNH2512nWOZaruDbZDzVADmlBthBCEkJEoI5uZwBsbCCzN2Md4WMfAzZsaHcvGLNAK0mmbafmLB969pqTGLt2Lz50Qf3HMsYYY05iV3A8BSDY5HNqAaBtiMgLYAhAWAgxLYRICSGmoY5+9labolwMALVpzmkiMu37cq7TzHOU9DtZPK6upGrF4HsjgPVQg+QCgONQ10T7iWiQA2O2kt1yS7t7wNgyXDIMfDgLvPPzhrtvS3wB/aEs7nvyY2XPf/8HdnSOMcYYaz5BRK2/iDp6+QgADxF9twnn2wbgUQBeInpsuedjnUcIMQOgr6+vDzMzM+3uDutwM5l/xcDgVv1xdvJ69L/+VRx4wjjx1kSgmK16YBTZ1z+Id25aPLZr3RMonPx/4PUCjz5qQ+cZawZlBvjOQFNO9e7PZzFxfz/6+5tyOsYYYx2iv78fR48eBYCjRNSR/xewZeS4OEr6PICEEOLc5ZxLCHE+1Cm5eQ6MGWNNsWZ92cP5XxJmXgS29Bo339ILzLwIzM6fxG/eVH5s4aT6mEeN2Wr1y18CH/kIMDvb7p4wxhhj9bEzr2QYagbjaSGEl4j+vd4TCCEuhDqV+nwAf9rU3jHGVi2Xy4XR0VH98T89O4u7/sq8vVbqafSzwPDN6rGnTwOZDJDNutDTA3jqKoDG2Mry/PPA1VcDhw4Ba9e2uzeMMcaYNbYFx8UsyvcDuBZAvpiU6Q4ieqXWsUKI8wCMAAgVn0oS0bda11vG2GrS09ODsbEx/XHpz1Wdua7i2NdfB156CRCiqV1krOM8+SRwww3AP/wD/z4wxhjrDLZWJCQifzEp1GVQR5LDQogM1NHgeahZrRWoWZ1lqImcPFATOAGAADBNRDvs7DdjjFn15jcDF17Y7l4w5gz/+I/AO94B3H57u3vCGGOM1WZLQq6KiwqRgDqCDABWOqB955wioitb0yvWSbSEXGb72/G5ZivH7Ows5uZql6NxuVzo6eF6rmwFWJqQ68NZYK1LLcv0sweAHxtEt+/8AvD7VwOn54FDi0np+kNZHH2pPA/LffcBO/hrbcYYWxFE7elAHZuQy9aRY01xBDkA4A4s1v7Vohmx5GdAHU0OE9F++3rJGFutenp6OOhl7Ll9at1iMz++Xd0uuqnmqa67Dnj724H3vKeJ/WOMMcaazK46xxWIKE5E3QBuhDqtWmAxGNZ+TgMIElE3B8bMSF9fH4ioYmOMMVaHtS5gYHRxW+uyfuyZ68qO/fj1lceePg189KPAv9edipMxxpjTGP3tTUTo6zOd1Nkx2jJyXIqI4gD0SqJCiI1EdLyNXWKMsaqeegro7QV4cJmtGGt7gEvHGjv2zHVlx/75APDD/wN8a0nazNlZ4MMfBn7wA0CSwBhjjDlO24PjpTgwZow52euvAx/7mPqH/nXXAZ/5DHDxxe3uFWMtcMkwsMFfu92SUeYzzgC+/nV1lHh6urzpmjXAqVNN7CNjjDHWRI4LjhljzMkSCeCFF9SfYzEgHgeuvRb45jeBM/m/qGwlWdujbg04+2zg4YeBd78bePFF9bkPfQj/P3t3Hh9Vdf9//HUEJIqyOtOq32oBazWJG0ut+m2xClbRuiAj2E0rKmb41bYWBesXk0gVodidILhUW/stEEBtlZaCVLTVryJoaxKrshS3akYWtdGg4Pn9cSbMTGYmM0nu3JlJ3s/H4z6Se+45934CGuZzz8aSJXDAAR7GKCIi4qG8zTkWESk21sKPfpRc9uGHSoxFWjvkEHjoIZcMX3mlS5aVGIuISCHTxzkRkSw98gg891xy+bXX+h+LSKGK3wqtZ0832uK//gtefDGxnrZCExGRQqPkWEQkS3PmJJeddBKccor/sYgUqpqaGqqr29gCKqqyspKqqqrcByQiIpIlDasWEcnCc8/BqlXJ5ddeC8Ykl4uIiIhIcVHPsYhIFubOTS77zGfg3HP9j0WkkDQ2NlJTU7P3vKmpqV1tb7uthhUrYMwYmD49rKHWIiKSN0qORUQyeOUVWLQoufz734cePfyPR6SQRCKRhGHUa9eu5dJLLwWgvLw8qX5dXR3g5hz//e8R5sypjpbDRReFlByLiEjeaFi1iEgGP/0p7NmTWBYIwDe/mZ94RArZoEGDKCsr46mnnkp5/emnn6asrIxXXw1y8cWJ1665xu0lLiIikg9KjkVE2rBjh9vLuLVvfxv228//eEQKXXl5OcYYJk2alPL6ZZddhjGGESMM27Yl9iw/+SRMnuy2SBMREfGbkmMRkTbcfju0nkK5//4QDucnHpGu7le/gh/+MN9RiIhId6TkWEQkjV274Oc/Ty6fNAkGDfI/HpHu4sYb4de/zncUIiLS3RR1cmyMmZrvGESk6/rDH+DNNxPL9tkHvve9/MQjUpB2bfPsVgP6xO41aRI88ohntxYREcmoaJNjY0w/YHa+45D8amhowBiTdIh4IdUK1ePHw+DB/sciUrB27fDsVgP6xO61ezeMG+dWsRYRkcKR6rO3MYaGhoZ8h9ZpRZscA0PyHYCIdF3vvQcPP5xcnmaNIRGJWnv/z6l74gFmTjkt5fWZU06j7okHeGtrHXVPPNDmvd59F8aOhTfeyEWkIiIiiXzZ59gY83IObjsE2JmD+0oRKS0tpb6+Pt9hSBf0hz9Ac3Ni2UEHwWmpP++LSNSieVczf3X66zPmrWHGvDVUjoPQiYnXykphc2Ni2auvwtlnw2OPwYEHeh+viIi0j02zpUBZWVnR9x77khwDg4B+gMa7ikhRWLs2uWz8eOjp129NkSIROGgAleNi503N6esmtT2QhLZf/8EAXvoavPhiYr3nnoPvfhfuuqtzsYqIiLTFr495m4HBwHRgu0f3PAO43KN7iYgkuP12t9/q4sXu2LoVJkzId1QihScYGETVhbHzqmXtaNuPhLYMHcQf/wif/zw0tupBvvtuuOoqGDmyU+GKiIik5VdyvB1YZa29w6sbGmOeRcmxiOSIMTBsmDtuvRWefhpGjMh3VCKFLzw6ebh0KoE0Q6QHD4aHHoJRo+CDDxKvfec78Le/uf8/RUREvOZnz/EmL29ord1sjHnHy3uKiKRiDJyYxYd9EXG9wcF+nbvHyJEwZw58+9uJ5U8+Cb/7HXz1q527v4iISCq+rFZtrb3KWntnDu470Ot7ioiISCecvhbG1sExM1NfP2amuz7uLfc1jauugrKy5PLrroOmJo9iFRERiVNUWzkZYwYbY8YZY7RerIiISCHaughWlMPzM1Jff36Gu/5STZu36dkTfvrTxLI+fWDKFC2MJyIiuVFs/7z0B4YCg4wxs4ErrLXP5TkmERGR7qskAOWVsfPd7ejWbd22JJBwefRoOO88ePBBuOQSuOUWOOSQTsYrIiKSRlElx9baZ4FnAYwx/YFVgNatFBERyZeSIBxbFTv/R1W6mhnbNjY2EtmUuHd9RQVMnAjHHAM7drgjEAgQDAY7FbaIiEhrBZ0cG2P6tnF5GjDMr1hEpOv7wx8gEoELLoABA/IdjUiROjIMh4Uy12vVSwxQU1NDdXV1xqaVlZVUVVV1IDgREZH0Ci45NsbMAq7EDaHOZGmOwxGRbmTOHPjrX91CQF/+stvX+Pzz4YAD8h2ZSBEpCbojC42NjdTUxOYeN7Vjpa3WbcPhsHqTRUSkUwoqOTbGzMclxtnsYLgAmJ7biESkaDU3QnMkc72SAJQEee01lxgDfPSR22f1oYfg73+HY4/Nbagi3VUkEknoKa6oqOhw21AopORYREQ6pWCSY2PMYGAysAGX+D4DvAMsAVrGZ/UHRgBjgFXWWu1zLCKpvVQDdZmHZ1JeCcdWsWRJ8qWjjnLzHEXEHxMnTmTKlCksX76cG2+8Men6zJkzueCCCwgEAkQiWbz8EhERaYeCSY5xc4gXWmuvii80xlhr7Za4omeBO4wxtxpjNmu1ahEBXE9x/NYw7Vkxt7mRA/9VQ+U4d1qzOkzk3SATJoDJZhyLiHhi1KhRbV6fMWMGM2ak2SJKRESkkwopOR5urU218rQxxvS11r4bX2itnW6MWQxM8Cc8ESlozZHEnuIjsh+e+dqmCFd8Pta29qnQ3uRYRIrDpk1QVpbvKEREpJjtk+8A4uxIU/4Mbih1e9pIN9HQ0IAxJukQ4fCJMLYOjrkp9fVjZrrrR4ZZ+afky8ceC0cfndsQRcQ7s2eDtfmOQkSk60v12dsYQ0NDQ75D67RC6jlO90/aetyQ6zXtaCMi3d0jbQ/P5PkZ7gAmHZx8Wb3GIsXliSfg4YfhnHPyHYmIiBSrQuo5NuD2NjbGjIvb47gWGGOMOS5Fm3Q9ytJNlJaWYq1NOkQ6S8mxiA92bfPsVgP6bON734MPP/TsliIikkKqz97WWkpLS/MdWqcVUnK8wBgzFXgElxA/A2Ct3Rkt22CMmQR7E+jFwPZ8BSsiXVd5OQwdmu8oRLqBXYmzo9befh51s2Hm+NTVZ46Hutnw1pqpLLjtgYRrA/rsYONG+PnPcxWsiIh0dQWTHFtrlwGfA4bjepEHxV2eFi1baIzZg5trPB635ZOIiKfOPDPfEYh0T4uehPJpMGNp6uszlrrrNY/AySelrnPTTfDWW7mLUUREuq5CmnOMtfYiY8yVwDBc73FL+QZjzFXA7XHVV1lrl/sdo4h0fWd+Od8RiHQPgYMG7N1CDaAp8mB2DV+YS/DQuQltf/fEAADeew9uuAHuvNPDQEVEpFsoqOQYwFq7qAsxoAAAIABJREFUMF25MWYdbuumbUDKeiIigNvKaeP8jNWqllVS+1SI+jnle8sOTrFAl4h4LxgYRNWFsfOqZe1o24+EtrVPxQac3X03VFTA8OEeBCkiIt1GwSXHbbHWPgs8m+84RKTwNW5/n8hrmes1NTflPhgRyUp4NIROzFwvcGDb162F73wHHn8ctLufiIhkq6iS49aMMZ+21v4r33GISAEoCUB55d7Tmnl/pjqL8SWjjlpH5L1rqVpWiTFwzffgwJJADgMVkXSC/dzhhb/9DRYvhokTvbmfiIh0fUWbHBtj+gGbgB75jkVE8q/xXaiJW4Wgaf/jgScztlu3eSTvfwjVy+Hww8GugvBnIFiSu1hFxHtDhkDD64ll114L554L+++fn5hERKS4FMxq1R0whOjeyCIikUiE6urqvUfTruzavf9hHyACVLN1q2sbiURyGaqIpHNERXb1yithbF1C0bRpydVeew1uvdWDuEREpFvwLTk2xlxujNlmjHnaGNM3xfWX23Pg9kHekfwkERGYOHEidXV13HTTTWlqzATqgLCPUYlIrvz3KXDOOcnlM2fCBRfA7t3+xyQiIsXFz2HVc4D+uH2MLwJab7IwCOiHeoNFxAOjRo3KUGNG9BCRvGm1VgC727FAXuu2JQFuuw1WroSPPkqs+sor0LNoJ5KJiIhf/PynYgtwAi753Zzi+mZgMDAd2J7F/c4ALvcsOhEREfFXSRCOrYqdNzfCkEuzaBdIbgsceaRbpXru3MTq557b9u0+/BB69dLK1iIi3Z1vybG1drgx5grgmeiWTK1tBxZZa+/I5n7GmGdRciwiItJ1lATd0Qn/8z9ulepXX42VfeUrbbf5xS/g5z939c49F0aNgt69OxWGiIgUIV8HGWVIfDeQukc53b02G2Pe6XxUIiIiUuwaGxv3LqY3fz785Cfw2GMwYADsuy/U17t6gUCAYDAxAf/9793Q63nz3HHAAXDmmfDtb8MXv+j3TyIiIvlSMDNwrLXTO9BmYC5iERERkeJSU1NDdXV1UnljIxxzTOy8srKSqqqqvefbtrk9keP95z+wdKk7LrkEbrsNBg3KUeAiIlIwCiY5FumIhoYGTIpJYtbaPEQjhWTt2rUMGjSI+++/nxkzkhfemjlzJhdccAGBQIBIJEJ5eXkeohSRjmpsbKSmpmbveVNT9ot5xbf9xz9gz54wkHo49733wooV8NOfwsUXa16yiEiqz95dhZJjEemSFi1axPz589NenzFjBjNmzKCyspJQKORjZCLihZa9zVtUVGS5R3KKtj16hNizJ/1c50gEvvY1uO8+N2T78MM7FrOIiBS2gkmOjTFTrbVz27i+EWjpDtwMzLbWrvElOClYpaWl1LdMJJNuLRAIUFkZ29alPb1IrdsGAgFPYxOR3Js4cSJTpkxh+fLl3HjjjUnXW48Wiff447B1q5t7/Mc/ws6dqZ/xxz9CWRn88IduPnKPHrn4SUREClu6EZplZWU0NDT4HI23TKEMPzXG7LHWZvXPjDFmCHArbnXr5bmNTAqRMaYeKFVyLOlUVVWlnH/YWuv5hyJSHOrr6z2bDlFXV0dZWRng9kj+1a/guuvgnTaW/Rw5Eu64A447zpMQRESKXlxy3GCtLct3PB2xT74DiJP14HVr7WZr7UXA9TmMR0SKWDgcpq6ubu9x7rl1QOLx5S/XEQ6H8xuoiBSUXr3gyivhhRfgwgvT11u3DoYPh+uvhw8+8C8+ERHJnYIZVk1syHR79Pc8ChHpEoLB4N7tWpqb4dFHk+tceSUEO7elqoh0UQcf7FarfvBBmDIFXn89uc6ePXDrrVBbC//7v/C5z/kfp4iIeKeQeo7bxRhza75jEJHisHIlvPtuYtkBB8BZZ+UnHhEpHuedBw0NEA6nX6n6tdfcfsoiIlLcfO85Nsb8mTS9xMaYlVncYkj0AJjmVVySyBhzHTAIWGyt3ZDi+hBgMrDJWrvQ7/hE2mPx4uSy88+H/fbzPxYRKT59+8K8eW7F6iuucMlyvBtvhM98Jj+xiYiId/IxrHoyLrkdBkyIfrW4Ocdj2nGf1W2tbp0rxpjxuJ9hILA9+nU1MMtam2Z9y/w8p5P3GAmMB66L7mW2GdiJ+7trGc6+GRjux88i0lHvv+9WoG1twgT/YxGR3Fm76gEG9YH7H3qEGbf8Iun6zB98mwvOOZ3AoUcQeY8OLeZ18smwYQPMng033wwffgjl5XDttV78BCIikm++J8fW2i3AFuAR4EfGmNFAS2/yHbgErC3bgA3W2kdyGmgKxphaYDRwenxvqjFmAbDFGBOy1q4uhOfkINYhrc6XAldkSm79+jMTSeeRR6D1rk79+8MZZ+QnHhHxyK5tCaeLFlQyf+nf01afccsvmHHLL6i8ahShK25q815t6d3b9RSHQlBR4RLlXr3aFbmIiBSovC/IZa1dbYw5A1hprb0q3/GkE03mxgPDWw8zttZONsYMBFYZY4Zaazfn8zkexroB19M7AtdbvDlaNivVUOscxiHSYQ89lFx23nmw777+xyIi3gkcCJXjYudNvTveNnBg+59/9NHwl7+kn4csIiLFJ+/JMexNkLfkO450or3bV+KGcqdLCmfhEsFashhqnKvneBzrLGvt0izDz2UcIh1iberk+Nxz/Y9FRLwVDAyiKm6rpaq/ZN9927otgUEdikGJsYhI11IQyXHU5HwH0IaWhb9q01Ww1m4wxmwGhhljRndwqLAXz/Er1kwKJQ7pxp59Ft54I7GsVy8Y057VDUSkKISHPUNoduZ6gQPXwor2zzfuiFdegWnTYPp0OO44Xx4pIiKdUDDJcUfmEBtjVlprv5yLeOKe0R83ZxbgmQzVN+Pm5oZwC075+hy/Ys2kUOIQSdVrfOqpcGAHhlCKSGEL9nNHIXj/fZgzx81Hbm6GN9+ENWvU0ywiUuiKeZ/jfsQSsFyKf0amxcJarnckLi+e41esmRRKHNLNpUqOzznH/zhEpPv45z/hqKOgutolxgCPPgrLluU1LBERyULB9By3Zozpi9vyJx2/BkaOjPt+e4a6LYtKtV7Z2a/n5CTW6FZMI6N1twOrMsxF9uvPTCStf/8b1q1LLldyLCK5NGQIlJQkl0+dCmefrf3VRUQKWUH1HBtjxhljXjbG7AF2AJvaOG4nc6+kF/pnrpIsOrTY7+d4HevI6FZMQ4AF1toQsACYbYzZZIwZlqadX39mImmtWJFcVlrqPriKiOTKvvvCT36SXL51K9x2m//xiIhI9gomOTbGnIDbO3coYLI8/LC39zrTnr7p2vn4HK9jvRK3l/Gclq2WoitPD8clzOuNMalSDb/+zETS0pBqkW7m9LUwtg6OmZn6+jEz3fVxb7mvOTR2LJx5ZnL5rFnw2ms5fbSIiHRCIQ2rvh43xHZa9GumpCqE2wqoUPnVC+rFc1LdYwEwLVVya63daYyZA1wXrefVEPd2/yybNm2irKwsq7rhcJgpU6a0OygpPs3NsGpVcrmSY5EubOsi2Dg//fXnZ7ijvBIOC+U0FGNc7/Hq1bB7d6z8/ffd6tW//W1OHy8i4pl58+ZRU1OTVd1NmzblOJrcK6TkeAgwzFr7bjaVjTELgVtzGxJQ/Eluh2SxrdIqXHI8OsU2TL4Nj961axcNDQ1Z1Y1EIjmORgrFo49CU1Ni2cCBcNJJeQlHRHKhJOAS3Ra7m9LXzdS2JOBdXFFHHQXf/nbyEOv//V8Ih+GUUzx/pIiI5yKRSNaftbuCQkqOt2ebGMPe3ks/tv7Z23NqjOnfjmHC7Z0P7cVz/IoVYgtpges5jv+78C2O3r17M3To0KzqBgLef/iRwnTMMW5u30MPweOPu56bs86CnoX0G09EOqckCMdWxc7/UZWuZua2OXLjjXDffdD63ezVV7sFA/cpmMltIiKpBQIBSktLs6q7adMmdu3aleOIcquoPypaa8/w4TGZVlv2qp0Xz/Er1tZtWi/M5VscQ4cOpb6+voOPk4LX3AjNWfT4lwTch92oQw+Fa65xx86d8Oc/w6c+lcM4RST/jgxnN1w6RS9xY2NjVqOLAoEAwWAwY70W/fvDzTfDlVcmlm/YAPfcA5ddlvWtRETyYsqUKVlPSywrKyv6XuZCSo43GGNOs9auybaBMWaWtfb6XAZFYm/mQNru3dw7nLidC1F59RxPYjXGrAJG4OYcL2zjHi1aL8rl15+ZdDXNjfBS3LyW3U3wz7mZ25VXug/G8W2PDENJkP794aKLvA9VRApMSTDhJVlbGhsbE+bQNTU1MXdu5t81lZWVhMPhhLbhcLjNhPmyy2D+fHj22cTy66+HCy+Efv2yCllERHxQMMmxtXa6MebPxphnshlebYzph5vzmuvkOH6n1ExzaVtWW+5IkufFczp9D2PMaGB09HQakE1y7Hkc0k01R6CuOnZ+REXH2x4WyvqDsoh0L5FIhOrq2O+Liorsf9e0bhsKhdpMjnv0gJ/9DL74xcTyxkb44Q/hRz/KPm4REcmtQpvtEgJqjTHfN8Z8OkPdEbkPB0icS5tph9SW6x2ZC+3Fc7y4R/zQ5rZ+jvj7P5ODOERERLqEL3wBJkxILv/Zz+Cll/yPR0REUiuY5NgYsxJYgtu/eA6wyRizxxizLcWxB/gzPvQ2Rof6boieZpvoLc7Hczy6xwbcn+twa+3kNtrHv5xY4HUcIkDb27LEq6uGFeW5jUVEuqz587P7XVNdXU15ecd+18yZA/vtl1j20UdubQQRESkMBZMcAyNxw3lH4xLklmNAiqPlml9a9lNO8d7XMcYMww0h3mytXZqmzhBjzHXRurl6jhf3WELmpLZl1ZPV0YQ6F3GIiIh0CYcd5vY4bu3hh+GPf/Q/HhERSVYwc45xw3ktMJ3sVi2eCIzLaURR1tqlxpilwHhjzLA0yeDs6Ne2lspcT3QOrjFmqLU2fjskT57jUazTgPXGmA2tY4zGPh73EmNnjuMQERHpMq69Fu66C159NbH8e9+D0aOhV6/8xCUiIk4h9RxvBmZZa++w1i7LdOASON9Ya0O4ebGPRBet2ssYswCXLIbSJIEYY/qTuDhVyp7Zzj7Hi3tEh0WHcAnyddHYMcb0N8bMBmpxw6YHt7XCtBc/i0hHPf88fPxxvqMQkYK0a1te7rX//skLcPXuDaEQ7NnjXUgiItIxhZQc76Qdc4ijPZp+Dq3GWjsGuAKYZoxZb4xZZYxZj4t7aFtDg6NJ5Jzo6WprbdoFqDrzHK/uEU1YBwODcEnyDmALbk/jkLV2eDZbL3nxs4h0xMSLobQUrM13JCJScHbtyNu9LrrILdAFbiunF16AmTOhpMS7kEREpGMKZli1tbbdO5Faa31P7qPJXIcSOmvtNLLs8e7Mc7y6RzT5zTrmXMUh3dgRFdktylVeyexFIaa1WijnuOPA+PoKTUSK0drbz2PQOw9y/zqYkeJfq5nj4YKREBg5lUjJf1N+8vkdfpYxMG8evP02fOlLnQhaREQ8VzDJsYhIZ6xdC9NaLSJ7zjn5iUVEisuipQ8yv40NBWcsdUfluLmETpzb6ecdc0ynbyEiIjlQkMmxMeZ43CrHQ4B11tq50fLBwHXAddba9/IYoojkQkkAyitj57ubsmr29jZ4pi5A1bJY27f/E+Css7wOUES6gsBBA6iMW9KzqbkdbQ8koW3goAHeBSYiInlVUMmxMaYvbrGnlsWbDG4Rq7kA1totxphlwBpjzOXW2r/nJ1IRyYmSIBxbFTtvboQhl2ZstuRXASLvBqleHmt78slw0EGeRygiXUAwMIiqC2PnVcva0bYfCW0JDPIsLhERya+CSo5xWx0Nxa1cvRrYRCxRBsBau9oY8wywyhhzurX2Xf/DFBFflATdkUHt75PLvvKVHMQjIl1SeDSETsxcL3Bg7mMB+OAD2L0bDvTpeSIi4hRMcmyMuRa3MvIYa+0jceWjW9e11u6Mbil0ffSQbqqhoQGTYsUlqyWKu40dO+Dxx5PLNd9YRLIV7OeOQrB5s1vFevBgWLZMiwqKSOFJ9dm7qyikrZwuAk6LT4zbEl0BOSlxFpHuZeXK5P1BDz8cysryE4+IFKEjKrKrV14JY+tyFsZDD8Hw4fDcc3D//cl7IouISG4VUnJsrLXPtbNN/5xEIkWjtLQUa23SId3HQw8ll51zjnpbRKS4zJrlpoPs3Bkru/56+Mtf8heTiEgqqT57W2spLS3Nd2idVjDDqoGOZDQDPY9CRIrG7t2wYkVyueYbi0ibOrgyfsq2JQFPQjryyOSyjz+GiRNhwwY49FBPHiMiIm0opOTYGGP6ZrvAljHmdGBLjmMSkQL25JNuznG8Pn1g1Kj8xCMiRaKDK+NTEkhu65ELL4SpU2Fuq22UGxshFIJHH4V99/X8sSIiEqeQkuPVwEJgYqvypMGR0f2OlwCzfIhLRApUqiHVY8ZASYn/sYhIEctyZfxcmzUL1q2DtWsTy5980iXOP/95fuISEekuCmnO8QLgImPM08aY4+LKE4ZbG2PGAc8A2621rd6vikh38oc/JJdplWoRKVY9e8KiRXDwwcnXfvEL+N3v/I9JRKQ7KZjk2Fq7BbgKGAFsMMZsM8asA0YYY1YaY9YZY/YAtbiFuEJ5DFdE8mzTJnjhheTys8/2PxYREa988pNQW+sS5dYuvxzqcrdYtohIt1cwyTGAtXYhLkE2wABgGC4RHh393kSPUAdWthaRLuThh5PLRo50HyxFRIrZKackzz0GeP99Nzf53axWZxERkfYqqOQY9ibIQ4E7gHeIJcTv4OYkD7DWLs9fhCJSCNJt4SQi0hVcfTVMmJBc/tJL8K1vgXYtFBHxXsElx+CGWFtrJ1trB1pr94keA621V1lr38l3fCKSX9a6Val7904sV3IsIl2FMXDnnXD00cnXli+H227zPyYRka6uIJNjEZG2GAP33w/btsEDD7h5eCNGwAkn5DsyERHvHHCAS4QPOCD52vTpyatai4hI5xTMVk7GmBNw2zlZYEi2+x2LSNfV2NhIJBJps84RR8DNNwcIBvO/DYuIiNeOOgp+9Su313G8PXvcsOsNG+CQQ/ITm4hIV1MwyTFuFeoBuOR4BLAmv+GIiN8aGxupqanZe97U1MTcVKvStFJZWUk4HE5oGw6HlTCLSO41N0Jz2y/xACgJdHgv5fHj4Zpr4Mc/Tix/6y246CL4y1+gV68O3VpEROIUUnK8E7fgFtZaJcYi3VAkEqG6unrveUVFRYfbhkIhJcci4r3mRngp9iKO3U3wz8wv8ThqKvTsEzs/MtyuZPnWW2HdOnj88cTyF15wi3SVlWV9KxERSaOQkuPN1tqr2tPAGLPNWjsoVwGJiIiIJGiOQF3sRRxHZPkSr3USfVioXclxr16weDEMGwZvvunKRoyApUvh8MOzvo2IiLShkBbkWmiMWdzONgNyEomIFIT58+dnVa+6upry8vIcRyMikl8HHwxLlkCPHjB5Mvz1r0qMRUS8VDA9x9ba1caYfsaYlcDt1tr726pvjBmMm58s3VhDQwPGmKRyqw0gRUTEB43r5xN5L3O9wDvzCfbr/PO+8AV4/vnUWzyJiPgh1WfvrqJgkmNjzKzot1uApdE/9M3RI5URuHnKIiIiIr5ojGyjZlnsvKkZ5q7I3G7qWOhTEjsPj9xGsH/HYlBiLCKSGwWTHAOTgZZ3qi2vI4ZGj3R25DQiKXilpaXU19fnOwwREekmIm/voHp57LxidHbtmj5MTKJDU3cQ/Iy3sYmI+CHdCM2ysjIaGhp8jsZbhZQcbwf6A3OAbVnUHwMMz2lEIiIiIkVm5063UNfll+c7EhGR4lJIyfFOYLa19vpsKhtjlgEv5zYkEcmnioqKrBblqqysJBQKaVEuEfHd/NXe1uusN9+EM8+Ev/8d3n3X7Y8sIiLZKaTVqjcDm7KtbK3dTGz4tYiIiEi3tmUL/Pd/u8QY4Pvfh3vvzW9MIiLFpGB6jq21F3WgmbZyEulCAoEAlZWVe8+bmpo63DYQCHgam4hIIXvzTTjlFPj3vxPLJ02C/v3hvPPyE5eISDEpmOS4I6y17+Q7BhHxTjAYpKqqau95Y2Mjl156Kc89B1//emLdnj3hb3+DPn1cIty6rYhITvT26L28V/eJ+sQn4NxzYcGCxPI9e2DCBPjTn+DUUz19pIhIl1OQybEx5nhgAjAEWGetnRstHwxcB1xnrc1iV0ERKWbBYJBgMMiddyZfGz0aPvc5/2MSkW6u96DCuk+UMTBvHuzYAUuWJF7btcslzn/5CwzXUqYiImkV0pxjjDF9jTErgfW4JDiEW5UaAGvtFmAZsMYYc1x+ohQRP338MdTWJpdf1JGJGCIiHlu7di11dXXMnDkz5fWZM2dSV1fH2rVrcx5Ljx7wm9/AGWckX3vvPbdQ14sv5jwMEZGiVVDJMS4pHgNsAe4AprWuYK1dHa1zpzGmr7/hiYjf/u//4PXXE8t69YLzz89PPCIi8RYtWkR5eTkzZsxIeX3GjBmUl5ezaNEiX+LZd19Yvhw+//nka2+/DWPGwKuv+hKKiEjRKZhh1caYa4FBwBhr7SNx5aNb17XW7jTGzAaujx4i0kW1Hh4Ibkj1AC3HJyJ50NGFA/v06ePbooF9+sDDD8MXvwj19YnXXn3V9Sw//jgcdFDOQhARKUoFkxwDFwGnWWufy6aytXapMWYaSo5FuiwNqRaRQtN68b9sFwLs06ePr4sGDhwIf/6zW8H6X/9KvPbPf8JZZ8GaNXDggb6FJCJS8AopOTbZJsZx+uckEhEpCE88AW+8kVjWq5e2JBGRwhEOhwmFQhnr5WN7uUMOgVWr3N7Hb72VeO2ZZ9z0lIcfhpIS30MTESlIhZQc2w60Geh5FCJSMFINqT7jDA2pFpHC0bKqfqE64ghYuRJGjYJ3Wm2AuWYNfPWr7ndtz0L6RCgikieF9KvQGGP6WmvfzbLy6biFu0SkC/r4Y1i6NLlcQ6pFpKtofKWeyOsbM9YLHHoEwcPKOvyc446DP/zBvVxsbk68dv/9cNVVcMcdbjsoEZHurJCS49XAQmBiq/KkX9XR/Y6XALN8iEtE8uBvf4N//zuxbN993V6dIiLFpvGVempmTdl7Hr5+HjWzplB9e+YtnqZ+YwR9+vRJaNveZPkLX3AvHM8/H3bvTrx2111uca5bb23XLUVEupxCSo4XAJuMMUOAK6y1f4+WJwy3NsaMw23ztN1aO9fnGKXANDQ0YFK86ra2I6P0pZCkGlL95S9Df600ICJFKPL6xoREOPTNzD3GLZre/4C5v3kmoW1HepLPPhvuuQe+/vXE8n33hZEj2307EemmUn327ioKJjm21m4xxlwF3A5sMMbsBDYDQ4wxK3Hzi4fFNTk9D2GKiE+efDK5LIs1b0REpA1f+xps3w5XX+3O+/SBBx5wW+SJiHR3BZMcA1hrF0bfRNwODCCWDLf8ym55TTG+AytbSxdUWlpKfetNHKVLePppN7R6yRI3FHD7dg2pFpGuo/zk87OuO3+Zt//OffvbsG0b/PKXsGIFfO5znt5eRLq4dCM0y8rKaGho8Dkab+3j14OMMfONMSuNMce3Vc9auxAYihs6/Q4uITbR7xcCA6y1y3Mdr4jk1z77uDlyv/gFvPYarF8P/frlOyoRka6hshKef16JsYhIPF96jo0xtwNX4uYPzwa+3FZ9a+0WYHL0EJFurkcPKC/PdxQiIl2HMXDwwZnr7doFvXvnPh4RkULgV8/xCGAprgd4QaoKxpjF7b2pMaZvJ+MSERERkRQ++gjOPBO+853kFa5FRLoiv+YcW2ttpt1Jx3fgvjuAHh1oJyIiIiJt+O534dFH3dHQAIsXw8CB+Y5KRCR3/Oo5NsaY4zLV6ch9OxKMiIiISD7VPfEAlVeNyqpuxYXt37aps26/HWpqYuerV8OJJ8ILL/geioiIb/xKjhcCa4wxk9qo066NaY0xp7e3jYiIiIi07YUX3IrWrW3c6BLkFSv8j0lExA++DKuObtF0HbDQGLMQt3/xTmB7XDVjjHm5HbcdEr2HiHQRd97pVqQeO9btvSki0lUEDj0ioac4cOgRMGgksDZz4/7ljBr+n9h57wE0NjYSiUSyenZtbe3e78PhMMFgsM36Rx0Fc+bA1Knw8ceJ1957D845B2bPdteNxvCJSBdi0u1T5elDjDkBWI/r6fXy1+gOa+0gD+8nRcIYUw+Uap/jrmP3brdy6ttvw/77uw9fF13kvmqlVBHpirJNcLdt28aoUbHEuq6ujtraWqqrqzO2raioYP78+Qlty8qyG6b9pz/BxInwzjupr3/jG7BwIZSUZHU7Eeni4vY5brDW+j8fxAN+Lcg1HZiG28ZpJxAC+sddN8BiINOiXfHOAC73KkARya+1a11iDPD++7BkCfz+9xCJKDkWka4pGAxm7MUF8vYS+Mwz4amn4Nxz4aWXkq//5jfw4ovwwAPZbQslIlLo/EqOh1prJxhjFlprU75/NMZgrV2W7Q2NMc+i5Fiky1iyJLls7Fg44AD/YxERKWTl7dj4Pb7XuCM++1mXIE+cCCtXJl9/+mkYMQIWLYIvfKFTjxIRyTu/FuTaBpAuMe4Ia+1mwLP7iUj+7N4Ny1K8GruoPWNJREQkJ/r3h4cegmuuSX39jTfg1FPhhhvgww99DU1ExFN+9RznZFc8a6122xMpNM2N8FLc/h9HhqPl6efVPf0kfKIEgofCRSe6hWN69YJzRoeBzEMORUQkt3r2hNtug2OOgcmTk5Pgjz+GW25xvcv33ecW9RIRKTZ+Jcc7jDGfttb+y8ubGmNOs9au8fKeItJJzRGoi1sk5rAQvFKbWNbKyUD9HJi3qoIpY+KGAPYIoeRYRKRwXHqpG2p9wQXw1lvJ19evh2HDYO5cqKjQatYiUlz8Gla9FFjg5Q2NMf2AVV7eU0RERETadtJJsG4dnHJK6usffOCxvM0YAAAgAElEQVS2gmpq8jcuEZHO8iU5ttYuBEYaYxZ5eNuBeLstlBShhoYGjDFJhxSQFeVt9hrHS+g1FhGRlOrq6qisrMyqbkVFRU5i+NSn4NFH4Yc/dEOu4+2zj1vJWgsqinRNqT57G2NatnEqan4Nqwa3ndPtxpgQsAF4ptV1Y4xJsQ5iWiOAHV4FJyIiIiLZ69nTLcJ1xhnw9a/HtnuaPl0rV4tIcfItObbWLjTG9AduBYZHj9bGtPO2So67udLS0rzt/ygiIuKHQCCQ0FMcCASybtunT58Ot83WyJGwYQNMneqGW2fZqS0iRcpam7K8rKys6HuP/ew5xlo7xxizALgI6B93yeCS5jlEt33KwhhSJ9giIiIiXUawL1SNiyvoC+HLQoS+fELGtoGDBhD8IG7t0r7exwfQpw/Mn+/mG++7b9t133oLBg1KHo4tIpJvvv9aiu51fEfrcmPMLGvt9GzvY4xZBrzsZWwiIiIiBSfFLgDBnbUEt2SxnkOPCtgYt57DYSEoyd0uAPvt1/b1jz6Cc85xifF998HQoTkLRUSk3fxarTob7VpFyVq7ub1tRCQPxtZBeXZj7Oatys3CMSIiUhiqq+GZZ+D//g+OPx5+9at8RyQiElNIA1oG+NRGRApUr0L6jSQiUqhWlGdfd2Ph7ALw17/CrFmx8//8By67DLZuhaqqvIUlIrJXwXwUjQ63bq8BQEfaiQ+MMdcBg4DF1toNKa4PASYDm6LbfUlXUBJI7CkuCcCRYTeUL84PboAHH0xsetZZQHkwsa2IiBS93bvhW9+Cjz9OvlZdDQcfDJMn+x+XiEi8gkmO28sY0w/YBPTw+bnjcQndQGB79OtqYJa1dmchPceje8wGxgNDokWbgaVZ3mNktO110b2HNwM7o/dqWZBtM1pYrWspCcKxVanLo3btgprfwjutXm39cCxwbFlOwxMREf/17An33APf+AZs2ZJ8PRyGT34SzjvP99BERPYq2uQYl2D5OufYGFMLjAZOj+8Jja7AvcUYE7LWri6E53T2HtFe3VpcMh3CJbFDgOuB64ArjTHT2tnjO6TV+VLgCi9fKkhx+OtfkxPjAw6AM8/MTzwiIt1JY2MjkUgkY71AIEAw6N3iXaecAs89B//v/8FvfpN47eOPYeJEeOQROPlkzx4pItIuviXHxpjLgdm43t7R1tp3W11v78rTQ/Bxn+NoUjkeGN56iLC1drIxZiCwyhgzNLpYWN6e09l7RPejXg+0TqA3AKFob/J1wAJjTH9r7Zw2fqQNuF7rEbje4s3RslmphlpL93D66VBXB0uWwOLF8OKLcO65mVc5FRGR9ml8B2ri/iUPj9xGzW9rqa7OvNL11KlT6dOnT6xtONzpZLlvX7j3XthnH/c1XnMzfOUr7gXq0Ud36jEiIh1i0m3i7PmDjNmOS44sMNlae2eK6/1oX2/wDmvtIO+iTM0YMxpYBay21o5JU2cYLqHcYK3t0DBhL57j0T1qgXVtJb3GmE3EeoLTJdm1uPnGS9Pdp6OMMfVAaWlpKfX19V7fXnxkrUuUe/SA0tJ8RyMiUoB21icuwjW2Dl6pTdzeKY36fSZQfvHived1TzxA7cpns0qOKyoqmD8/tqBXXV0dZWXeTH356CP3UvRPf0q+dthh8OSTcMghnjxKRHxSVlZGQ0MDQIO1tijnyfk5rHoLcAIu+U3V47kZGAxMx/U0ZnIGcLln0bVtWvRrbboK1toNxpjNwDBjzOgODq/24jle3GM8sC7aK5xuyPMC3EgAcPOap6WpJ91MY2MjNTU1e8/D4TBAm0P49tnHJcn19VBbG/tP14teChERKTy9ekFtLXzpS25rp3ivvOIWaHzsMejXLz/xiUj35FtybK0dboy5AnjGWvtsiirbgUXW2juyuZ8x5ll8SI6jQ4xHR0+faasusXm5IdxcXV+f49E9hkW/nY1LeoemaR8/JHp0mjrSDUUikYQeiVAoRG1tdkP4WvdShEIhJcciIlnuApDSCxuBWM9x+cnnZ/3Y+N/HuXDAAfDww26O8aZNidf+8Q84/3zXs9y7d07DEBHZy9cFuTIkvhtI3aOc7l6bjTF+bOMUn/hlWjiq5XpHkkUvnuPFPQbGfT+kjd7j+L+r/imui4iIiBey2AUgrb6eR+OpYBBWroSTToLWA4wefRS++U343e/cCCMRkVwrmNWqrbXTO9BmYOZanTYy7vtMw71bEsbWqzL79ZxO38Nau9oYsxq3gNbCNoZVx7fL+FIjuq3UyGi77cCqXMxFlsJTXl6euVJUrnspRESk8AwdCitWwKmnQlNT4rUlS9zc4x//GIyve5SISHek93CZdahXNDrE2e/neBKrtXaMtXaAtbatecTD4r5va9XpkdGFuYYAC6y1IaLzlY0xm+KGcYuIiEg3NWIELF3q9kNu7ac/hdtu8z8mEel+CiY5NsYcb4wZZ4y5PPr1NGNMIQwG2ts73c79eNvbq+3Fc/yKFWBC3Pez2qh3JW4v4zktK1pHt3AajkuY10f3VBYREZFu7Mwz4c47U19bvRr27PE3HhHpfvI6rNoYMw636FPaObrGmA24hbqK7Z2hX/NwvXhOu+4R3S6qpcd3WoYVrVNet9buNMbMIbpfMpBy26lMNm3alPW2EuFwmClTpnTkMSIiIl1CXV1dhxdJ9MMll8Abb8APfhAr+/rX4a673JZ/IuKvefPmJexC0pZNrVfWK0J5SY6NMcfjthpq6TFsmUViU3w/DLfl0PW4Hsj7/YyVLpzkdsKC6Nelbe2FnMV2VqtwyfHojm5/tWvXrpb91DJqayshERERKQzTp8Prr8O8eXDddTBrlhbkEsmXSCSS9WftrsD35NgYcy1wa8tp68vEVlHu36rOQGCpMWaBtTac2ygT7O31zLDvb9p2Pj4n57EaY2bjXmosjc4f7oz4hbzG0M7trwB69+7N0KHpdptKFAgE2nt78UBdXR3z59cyb15h9lKIiHRlgQOh8qpRCefhy0KEvnxC5sYGgjb2oThwYC4iTPFYAz/7mRtmfc45/jxTRFILBAKUlpZmVXfTpk3s2rUrxxHllq/JsTFmFq6n0OASo6W43sPN1totadqcgBt2PRmXlE02xuBjgpxp1Wev2nnxnJzGGl1x+jq8SYxbP7dDC3MNHTqU+vp6D0KRXHo21c7mIiKSc8G+UPWFtbGCvsArtQS3ZH5hyREVlLVu65MePZQYixSCKVOmZD0tsaysrOh7mX1Ljo0xpwMtqx9faa1Ns+RCImvts8CzwI+iydkduAR5lU9DrON7VQfSdi/r3mHN7VwQy6vn5CzW6DzjWmBOhlWsW+qvwm0HNc1auzBTfTq2/ZUUoEAgQGVl5d7z/v0DvPxyGEh8nzJtGnzjG8ntg8HYvp3q7RcRkbY0N0NJSb6jEJGuws+e41rcPOLh1trnOnIDa+3S6AJd63FJsh/J8bq47zPN6W1Z9bm9ibFXz8lJrNHtllYBk7NJdKOJdMsia9OAbJLjjvyZSQEKBoNUVVXtPf/978FN944lvb16wdSpcNBBye2zXWBNREQ6YEX2e8+zsbCnufzmN3DzzXD//XD00fmORkS6Al+WNzDGXIhL1kIdTYxbRLcDOh0YaIyZ5EV8GcTPg83Uu9lyvd1zZz16juexRrdZegT3d5cyyTXGLGhVFD9cuq37x8f4TFtxSPG6667ksvPOS50Yi4iIZGPDBrjySnjxRfjc52D58nxHJCJdgV9r/00AVllrPfnVFd0ndzVwkRf3y/CsncCG6Gm2CefifDzH61iNMf1xPcYha+3SNHWGtH5W9O9nJ26UwOQ2YhgR933rBFu6gDffhIcfTi6f5MdrLRER6ZLefhsuuMANqQb4z3/gwgvhhhu0F7KIdI5fyfEwvE9+FuLfPNVZ0a8T0lWIDj3uj1tcLG0iaYy5Llo3V8/xKtb+uB7jyRm2WBpPLCGPt4TMfz8tk1BXRxNq6WJ+/evkDyqHHgpjOrSrtYiIiOsxfuWV5PJbbnGLeO3Y4X9MItI1+DXneAipE6jOWI9PyXF0rvNSYLwxZliaRG529GtbqzivJzoX2BgzNDpE3NPneBjrI7jh0WOMMalSmf64ecujgStSXJ8GrDfGbGj9c8Lela9H43qYvVj5WgqMtXD33cnll17qViEVERHpiJtvhoYGN6S6tT/9CUaMcPOQjz3W/9hEpLj51XNsrbX/8viGKbd+ypXo1kWrgUeiC07tFZ1zOxo3/DjlS4BoT2z8IlkpE/vOPsejWFfhevtH47ZuSnVcies17k/ifsUtMbQkveujveUtLwX6R/dKrsW9MBncgZW9pQg88UTqDy7f+pb/sYiISNTYOiivzFwP4IiK3MbSQUcfDU8/7davSGXzZjjpJFi0yN+4RKT4+brPcbGz1o6J9nhOiyZ423G9p6uBpJ7gVm13GmPm4BLL1W0NVe7Mczp7j1YrTWclXZJtrd1gjBkMXI9LkltWyH6GNuYxS9eQqtf41FNh6FDfQxERkXhHhuGw6KCtpq3w6nL44A3Y7xD41DjoczgAja9tpGZZbMXq8Mht8GEjEbcFQUa1tbWxtuFwwlZ9ndW3r1uE65Zb4MYb3WileO+/DxdfDM88A7feCj31iVdEsmBs698muXiIMXustZ4PpMzVfaXwGWPqgdLS0lLq6+vzHY608p//wCc/CU1NieW/+Q18/ev5iUlEpFtqboSXamLnR4ahJLsktf7JByk/+fy953VPPEDtymeprq7O2LbiykuZv/CeWNv1aykb9sWsw26PFSvgq1+Fd95Jff2002DxYu2SIJJrZWVlNDQ0ADRYa4tyb069RxMRzy1ZkpwY9+0L48blJx4RkW6rJAjHVnl3v91NmesA7NrR9rmHxo51PcQXXAB1dcnX16yB4cPdPORh6ZZEFRHBvznHxhhzuMc37Ofl/UTEO6mGVF98Mey/v/+xiIiIN8pPPp/qm+dmVXf+vQ/mOJpERxwBTz4JoTRLfL7yCpxyittFQUQkHT97jhdEV1H2ijaDESlA//wn/O1vyeXa21hERHLpgAPc8OmRI2H6dPj448Trzc1wySWwbh38+MfQq1d+4hSRwuVncjwGbxNaA+R+wrSItMtzz8F++8EHH8TKysvd1hoiIiK5ZAxcey2ccAJMmADbtyfX+eUvoawMrrrK//hEpLD5Nay6hfHwEKGhoQFjTNIh+TNxIvz733D77e7tPbheY/21iIiIX0aPhvXr4fjjk6+dcQZccYX/MYl0Fak+extjWhbjKmp+9hw/AqwCvNjTtj9wBnCaB/cSEY/16weTJ7vj+efh0EPzHZGIiHQ3n/60m+YzeTLcd58rGzwYfvc76KG9TkQkBT+T4yuttf/y6mbGmGXAy17dT4qTtnIqfMcck+8IRETEC3WzofYpqF6euW7FaJi/OvcxZbL//m4RrpEjYcYMt2L1wIH5jkqkuKXbCjhuK6ei5dewautlYhy94WYv7yciIiIibfjCAxAclV3dfoWzxakxcPXVsGULHHdc23V37oTPfx6WLoU0n/9FpAvzq+d4S5HdV0RERKRbCxw0gMpxiefhi0YSGrw2c+PDygja2MiuwEEDchBh+2TTYzxrFjz1lNsS6qST4Lbb3FcR6R5Mum5xkUJmjKkHSjWsWkREJEeaG+Glmtj5keFoeSS79q/UJrYtCXoXWw5s3Qqf/Szs2pVYPn483HorDB2an7hEikXcsOoGa23hDB9pBz/nHIuIiIhIsSgJwrFVqcszaGxspCZubnIoFAEyJ9WBQACAmppYUh4OhwkGc59Y33BDcmIMboj1gw/ClClu3rLmLIt0XUqORSRZO3sL5t4GH30E48bBZ4+k6HoLRETEW5FIhOrq6r3njY2NzJ8/P2O7yspKQqFQQttQKJTz5Pijj+Dtt9u+/tOfwj33wPe/D+GwkmSRrkjJsYgka45AXeyDCYeFXMIbXxZn6tHRbzZC7dIKQsfPT2yr5FhEpHvZta3V+fbs2u1uStF2W+q6HurVC/74R1i5Eq69FurqUtfbudP1Hs+aBZMmwfe+57aHEpGuwa/VqkWkm2jMciqaiIh0Ybt2JJzOv3txVs2qb55L+fBWK2K3uleuGANnngnPPQd33gmf/GT6uu+/D7/4BRxxBEyYAOvW+RKiiOSYkmMRyWxFedpe49amjMk8bE5ERKRQ9ejheoVffhmqqtxeyel8/DEsWQKf+xyMGgUPPeTKRKQ4KTkWEREREWnlgAOgshI2boTLL3dJc1seewy+8hU3N1lEipOSYxERERGRNA4+GO64AzZtgu9+F/r0SV+3d2/42tf8i01EvKXkWEREREQkg8MPh5/8BF591S3IlWpO8iWXwCc+4X9sIuINJcciIiIiklMVo7OrVzkO6mbnNpbOGjAApk+Hf/0L7r4bSktduTFwzTWZ2+/Zk9PwRKQTtJWTiGQ2tq7NrZwSHFEBG7Uol4iIxEw8CaaMcd9vfRuWr4M3dsAhA2DcSDj8IHctcCBE3stfnO3Ruzd861uut/hPf4Knn4bPfrbtNk884Rb7uusuOPlkf+IUkewpORYRERERTwUOGkDluNj5USdfQnD7vQCU/ReMPT5Nw/JK6HEClU+dH7vXfjthZ33mh5YE3NeXamJlR4ahJNjO6Ntnn31g7Fh3tKWpySXSGzfCF77g9lOurnZJtogUBmOtzXcMIu1mjKkHStNd13/XndTcmPzhAqDZbWJ8193w4x8nNvnEJ2DVKuixD66XOb5tjj+YiIhIgdlZ77YBbHH6Wug9yH3ftBVeXQ4fvAH7HQKfGgd9DnfXSgIQeRIejyXHHDYBXslin+TySjgslPjcsXXQv6zzP48Hrr7a7Y0cr7wcfv1rOOGE/MQk0hHGmExVGqy1hfE/Xjup51hEkpUE4diqlOXWwo8WwouvJ1664FLoMTB6UiAfREREJE9KAi5ZbdHvqNiL0v5lcGgb3az7Dkg877Gf9/H5bM2a5MQYoK7O7ZF8441w/fXQU5/MRfJKPcdSlFp6jktLS6mvz2KolXjmiSfglFOSyzduhKFD/Y9HRES6lsaXH6Nm+qi956ETs2sXONB9rVkdKwvfupbgZ77oYXQd8+KLbkj1U0+lrzNyJNx7Lxx9tH9xiXiprKyMhoYGUM+xiHQljY2N1NTEhlWHw2GCQffGf36KtbZOPTWWGLfVVkREJJPI2zuoXh47b3wX5q9OX79F5TiXSMe3DU3dQfAz3sfYXp/9LPz1rzBnDlRVwUcfJddZt84Nr77lFref8j7aU0bEd0qORSRJJBKhujq2MnUoFAJgzZoI990HsBVYDrwOHMqwYeOor3fzxbZt25bUVsmxiIh0dz17wg9+AGefDd/8JvzjH8l1du2C738fHnwQfvUrGDLE/zhFujO9kxKRrMybV8PFF5cD5cDZwF3An4C7+PGPz6a8vJzy8nIWLVqU1zhFRKRryabXGFyPcfm03MbiheOOc9s+/eAH6XuHH3sMjj0WFiwAzYAU8Y+SYxHJqLy8nJtuymKPY2B+qnHXIiIislfv3nDzzW4djyOPTF2nqQmuugrOOgtefz11HRHxlpJjEREREemaPtqZfd3mRvhHVexobsxRUDEnngjPPgvf+U76OitXui2fqqvh/fdzHpJIt6Y5xyIiIiLSNTW97vZchrj9lV+H/Q5N3l+5OQJ1caOkDgvFtp/Kof33h5/+FM47D771Ldi6NbnOzp1w113wP/+T83BEujUlxyIiIiJSOHoPyFwnSxv/sRqevyHN1bv2fhcYORX+6yvULItdDY/cRrC/Z6Fk9KUvuUW6rrnGJcKtXXkl9OjhXzwi3ZGSYxEREREpHL0HJZxWVFRktZ5FZWUlJ3xmEOd//eq9Zb974C8s/r/Mj6wcN5fQiXPzvg1U375w551wwQVw+eXw5puuvGdPd96Wpibo0yf3MYp0ZZpzLCIZ1dXVUVlZmVXdioqKHEcjIiLdycSJE6mrq6Ouro6HH36YSZMmcdZZZzFp0iQefvjhvdfC4XC+Q/XM2WdDXR1ccolb0XrcOPjkJ9tu89WvwsiRcPfdmpss0lHGan14KULGmHqgtLS0lPr6+nyH0+XU19dTXl6+97yuro5AIEAkEgFg69atLF++nDfeeINDDjmEcePGcfjhsX2OR40aldC2rKzM3x9ARESKVmNjIzU1NXvPw+EwwWB2c38fe/heRp1zqSdx1D3xAGUnnefJvTrjtdfc/sdDh6av88orMHgwfPyxO+/f3yXWV10FRx3lT5wiZWVlNDQ0ADRYa4vyw5+GVYtIkkAgwKRJlRxyiHtjHQgECAaDez+clJWVMXbs2JRtGxsbE3qZA4GALzGLiEjXEAwGqaqq6lDbQQN9nCTsk//6r8x1Fi6MJcbgFvD62c/ccdpp8N3vut7odPsqi4ij5FhEkmzbFuTee6s47jj45S8hyxf2QOc+1IiIiEj7fPihm6eczpo17jjySJckf/Obmpssko7eH4lIAmvh6qth925Yvx5OOsltLfHWW/mOTERERFp74w341Kcy13vpJQiH4bDD4IYbXDsRSaTkWEQS3H8/rF6dWHbPPW2/lRYREelyPtqZXb3mRvhHVexobsxhUMk+/WlYt84dl10G++3Xdv3t2+GWW1y7Sy6B557zI0qR4qDkWIpaQ0MDxpikQzrm/ffhe99LLv/0p92+iyIiIgWt1R7JFVdemlWzyspK6h69J7Ewfs3ad1+G566Hv050X999OXatOQJ11bGjOdKh0DtrxAi3P/Lrr8NPfgKf/Wzb9T/6CH79azjhBDcv+aGHEucti6ST6rO3MaZlMa6ipjnHIl1VcyO8FFvtkyPDUNL25OFbb3UrXgb6NhIeHWt74jfC7LdfOyYei4iI5EOrPZInfu1bTLl6KtD2TguBQIDIpieT77ezHl5dDnU3gd0dK39hLpRXwqcugF3bcvbjdMSAAW5u8dVXw8qVLlFetartNn/5izt+/OPUL8lFugtt5SRFSVs5ZWFnPayIbcfE2DooCcTeaDdtdf/gf/A67Hco/+41jrGhw/nwQxjYZxuPV8a2Y7Jj6zD9i3JFfhER6UY6sw1U48uPUTM99m9feDQE+3UgiLF1UGD/Zj7/vEuSf/tbt4BXKr17uxfk7VmEUySetnISkeLyUo0b8pXCwdzFsz90389bVZFwTQPVRUSkGORjx4TGd6Ambq2O8MhtBAtsR6ljjoG773ZzjWtq3LGtVYf3N76hxFhEybFIdxHfi5zBlDHzcxiIiIhI4Ym8vYPq5bHz08og8p77fuvbsHwdvL4dDh0I40bC4Qe5a9v+Q0K70He2EPzMF7N76M56WDcldj5yXva9zh2YPvXJT8JNN8H118N997lh1P/8p7v23e+2/bhly1z98ePhwgvdqtciXY2SYxERERGRVhY9CfNXp75216Ox7ytGt7r44buJ5+++DJvvhv9sgQMGw5DLoO9n3LX3NkJkbazuexvbnALFp8ZBHzdPml3bEkeDHRbKmBy32G8/uOIKmDTJzUv+29+gLENOXlsLTzzhjmuugZEjY4ny0KFZPVak4Ck5FhERERFpJV1inKnetp3vuV7d5kjGxbwa//0KNctil8JH7yS4I/0UKDbfFfv+iIrUddphn33grLPc0ZYPPnCrWcdr2T5q2jQ4/vhYonzUUZ0OSyRvlByLiIiIiHhkxxM3wIc37D1/+U24+1HYEoHBAbjs1N3/n70zj4+qvP7w87IlLEogzCigIKuQIAqi4opl0bpUWYy4VQErSPjVVquitTRBWxGlttoaWqwUa60LiuBCFRAB61bCoiYRWcJOIAskIBCW5P39cSeZ7c7MnX0mOc/nc2Huve973zOTO3Pv957znkMvPQ2+nUbZLo+Q7IvGYT/D4kCbYzcF6qOP4PBh3/vXrzeW3/zG8ECPGQMXX2yEXnfpAm3axMxUQQgLEceCIAiCIAiCEEFKq4z5ygtWw+ML4KRL/eBZH0DOaBh1gTFfORn473+tty0sNBZX2rd3CuUXXoAzrD4AEIQYI+JYEBoL1xbAjvm+Q7Vc6Tk5pk+kBUEQBCHupLSLyGFG/tH//pO1MO0tY0kWZs2CCRPgrbeM5dtvg+u/f7+xrF8PL73kv+3DDxvzmUeNgmaiVIQYI6ecIDQmemdDlyxOnID/m7CdQactoHP7Peze34kF+aP5obYrH3wAp7aoEHEsCIIgNC5S0uNtQUKTkQG//a2xbNxoZK9+6y1Yu9b6MVq2hHQ/H3NNDfzpT3DiBJx1Ftx/vyHKJSxbiBUijgWhoZJqMxJ+uK6n2iHVzmMPw5z3M5nDtW5d5s6FU8/ESCTi2VcQBEEQGhGTJ09m9uzAD4rHjvoxb7zzYQwsShx69zbKQT36KBQXw4IFhlD+6iv//bp0AaV879+3zxDGANu2wS9+Abm5kJ0N//d/RikqQYgmSmsdbxsEIWiUUoVARkZGBoWeE1uEgOzcCRddBCUlzm0XXWSUZ2jSJH52CYIgCEK8KCwspF+/fvXrK1euJN3h5ty+fTsLFixgz549dOrUidGjR9O1q1FSKX/lIsZNecz0mMFSsPR5Mi8b68h0/Y4xFco107VqVp/pmmMV8PEQ575rC6zXSI4SO3bAO+9Afr7xevt22LXL8AgDjBgBS5b47v/ll0YiLzNSUuCnP4Vf/UoyYicqmZmZFBUVARRpreN7MoaIeI4FoYFSWlpKXl5e/Xp2djZ2u1H/8Mwz4d134YorjPIMSsFf/uIUxv76CoIgCEJDxGazkZPjjJrq06dP/bUvMzOTa6+91rRfxbb8iNlQUXmoPsqLtEzoOtaokXx4G7Q+y61GcmnhIvcyUOduxm5VHFeXwkbndZ7e2ZZrJPujSxfD2+tKTY3xMH779sBziHfs8L3v2DH4+9+N5YYb4KGH4NJL/XuiBSFYRBwLQgOlrKyM6dOdyVMm8+8AACAASURBVLeysrLqtwOUlm7nkksW8PHHu7nwws6Ulo6msNB4Cl5RUeHVV8SxIAiC0JCx2+3k5uYG3S+9Yze39YI1K5n/7nK366gvPEOyDxw7hdLS0vprteGxLmP37ko6dy5j9OhNdO16HICKTTvcy0DdV4nblfrgJkNY/7AV2nRzE9ZUl7kn6OySFRFxbEbTpkZ2aisZqvv0geuv966p7Mm77xrL4MHw4IMwcqQxjiCEi4hjQWhE5OXlmV6sv/oKrrvOmT5y8uTJsTRLEARBEJIXz0ReKelkZ2fXP5T2G5Kdn+8+X7lNF5/XaoCXXFI9j7vtRrd9FYcxPMLVZbBzARQ87h6S/d2s+pDs0m35Ced1BujfH957D4qK4Nln4ZVX4Phx3+2//BJuugl69oQHHoBx44ykX4IQKjLnWEhKZM5xYL7+upDzzusXuKEFCgoKyMxMyqkjgiAIghBVwpmKtGrVKoYMGRK4oQUW3g83DnKub9oLc1fA1jLoZoMJV0IvR0Krwl3Qb6qzrdtcZ4DD2w2BfXQ3tOwMZ46G1oagj+Vc55IS+POfYfZsqKwM3L5JExgyBJYv991m2zajVFRtrXPRGjp0gGuvhXvvhX6RuX1qdDSEOccijoWkpE4c+9rf2M/rgwfh2msL+ewzEceCIAiCkKh4JgELh4X3w8W9oOwQLFgNjy8wairX0awJ5IyGURdAxQ8w5AnnvoKlz5Npr3APtfZFz8nu5R5jkAjs0CGjPvIf/+h/XjIYJaC2bvW9f+tW6N7d/zEuuwwmT4YxY4xEYII7KvBEbxHHghBLRBz7Zvt2Y75OQUEhIOJYEARBEBKVSIrjcCiYCZkW5gSbEsMs2SdOwPz58MwzsH69eZsuXYx7IV9s324IaCt06GDUWZ44EXr0CNrcBktDFsdStEVIajIyMtBaey2Nla++ggsvhIKCeFsiCIIgCIIQWZo3h9tug7VrYdkyuPpq7za1td7bXAmmZGV5OTz9tDGn+cc/hoUL4eTJwP0aOmb33lprMjJ8+q2SBhHHgtBAePNNuPJKKC2NtyWCIAiCICQTFYesty2tgty3nUtpWUX0DPOBUjBsGHz4IXz9tVH/uHlzY18kxbErH30Eo0YZXufp02H37tCOIyQ2Io4FIZGpLoVvcp1Ltbfy1Rp+9zsYOxaqq53b27V2v1gVrFnJvn37KCgo4IknnqCZR7HBZs2a8cQTT1BQUMDKlSsj/14EQRAEQfBLQUGB5Wv1vBd+H7FxDxw2RG/hLmNZvB5+9iJcM9P4f/F6574NJTB9gXMpK/EzwdcTC/c1wdK/P/zzn0a+le++g0C3MKefbjgSysuhogIOHIC9e+EvfwErM8h274bcXOja1ciqLTQspJSTICQyAeoQHi/fxEd/nUvPfVt5cmw35q6YwOZ9Rg3Ddq0PcOCwy7GOHcBut2O328nMzGTs2LHMnTuXbdu2cdZZZzFhwgR69TL6SgZwQRAEQYgPVq/Vm9f7SckcAnnLcKub7MpLK5yvJw/32Hn8oPO1v9rKAAc3uN/XnD7UehmoACWkUlONOsmBaNoUbDbv7VOmQHY2fPYZ/PWvxtxmf2Wkzj4b+vb1vb+kxPBmp6cbnm4hORBxLAjJRnUpJw6VUbRkAZn6cX7S/SQ4si4+eN0sct/OYWH+KM7rBz9t7exm69DO7TC9evVixowZpkPYbDZycnLc1gVBEARBiCyBrrf+rtXtTuvitr5y6UKW/3edzxrJroy9cShvLHKK65F/tG7z7GXu6xXlJVBZGLC2Mqk2Cr/9mikuWbJfOO1rModdYawEENalOzeQ5/Lesp8air1XZOor16GUkan6ssuMzNjz5hlCubjYu+299/oXvY88Yni0W7c2QrF9LSKeEwvJVi0kJUqpPUDH008/nZKSknibEzVKN60i7xFnLcHs4WBva7FvlfEUuL7vUyux97oiwhY2HF544QXKysqw2WxMmTIl3uYIDQA5p4RIIueT4IlnpuuCggJsNhtlZUat4u3bt7NgwQL27NlDp06dGD16NF27GrWK81cuYtyUxyJih2t9ZX+1lQEW5bsL8YWz7+PGWybCzgVsWjqduStqXPo2pdeIXKewXvcF/S4Z6Xy/ny8k8+IbI/Ie/FFbayT/mj0b3nsPamqgVSvYswfa+rknGzIEVq0KfPwWLaB9e0Mkp6d7vz7nHKP+cjLQsWNH9u7dC1Cite4Ub3tCQcRxkCilbgImAe2B/Y7/lwEztNYWypPHbpyGdAyTY1YDKSkpKVS7TrRtYBR+scj9QuBRasHfRahwF/Sb6mwbq4tIslJXuD4jI0PCyoWIIOeUEEnkfBI8KS0tJS/PGWacnZ2N3W7Nk7pq2SKGjBgZuKEF5k2CQd0D11a2nQJfbHIXx8H03bAHhvzOuX/lB/O44tq7LNkYzmflyq5dRr3l48fh9wGmfHftGrgmsxXGjIG33vK9f88e+NOfoHdvI9S7d2+w2+PjjU5NTeXYsWMAx7TWqbG3IHwkrDoIlFLzgeHAMK31WpftfwO2KqWytNbLfB4ghuM0pGMI7pRWQdkh8wvJrA+cF5KKH+JnoyAIgiAI0cVut5ObmxtS3/SOPSNmx7i/+d53shamvWUske57oMyZLnrTpk3MnTuXrVu30q1bN7e52QBlW75wCzfPunoAdrtFh4HLXOczgJyp2QHnSZ84YQjpSJCe7n//118bdZ9dadvWEMl1S51o7t3bCPM2o6bGmI/tb5xnnzVqPl96aXDvIZkQcWwRh5i7CTjfVeQBaK0nKaXaA0uVUj201iYzE2I3TkM6huCOqyfYjEAXEkEQBEEQhIZAZcU+CgsLWbBgAY9Pn87Jmpr6fbOeeYac3FxGjRqFzWajYrd7tIWx7hDHUZjrvH+/IUi3bYOjR8N7n4HE8fffe2+rqoLVq43Fk86djbrNNTVGpu79+43/L78clizxPU55uTGH+tJLRRw3epRSw4GJwDJPkefCDAwhOB84P17jNKRjNCRCDeep2B+xSH1BEARBEARTXOcrv/POO0yfPp2TJ52JtZo1a0ZOTg6jRo2K6HzlcBj3q+fhV8+b7jtZU8O0adOYNm2a6f4D5fvqk4h5z3V+xm2uc1nJVrcs3lm/2Bowh8tpp0HR54Xo1VM4ccIotfnZ8Rf4dkcm27bhtpiJZ9uppWQPN+4br+oKVPv2Vm/c6NcUL3bvNq/RfOCA/37t2llrl+yIOLZGnb9uvq8GWuu1SqliYKBSaniIocKRGKchHSOpUI7JHWbz+Mt2bXAP57lhKDabna1b4YMPNlFcPJeSEu9QINeQoYaEv89KcJKIn5PYlNwk4mclNiU3ifhZiU2hEa8SUnFh4/Ow+HnmroBJc+Gk0+nMrMU1zLl7GuOHGMK64jv3rhWlLvdmfrzOhWuWM+U+Z9HlF/6ynGtuyXTrq7fMpebgVo6obuxKmUDJD72oqIAjO79g2+fGfeOSJdDzsgHYM93DwOvOqWHD3M+pvp0LyRvnTNqXPe8FvtsduIDzgQNQuqOQvBkufR99AXsXo28gcVxaWur2QCVZEXEcAKVUGsacWYD8AM2LMYrqZGEknIrpOA3pGImIvx+MgH23fe22/tuHvubjNVdQVTUXI1eZ88dk1qxZzJkzh/Hjx8NJmTgsCIIgCEJksdlsdOjQgfLycjp06BBcCam0U2NhYlTxV7rqZA1MmGMsZhyodNybbZnLpkUTvb3ON74IPcazeWsJKzc4+23eWkL9XaOPvsNufBGGjWfVW4WMf9DZd+ithe7i+OAmnhxr9Btw+aMsvmICXxT04vvv4TSWk/u2U5TbT13uJo57nraJCVfOpZttK1vLujF3xQQ27+vFgQOwYd1ypv/V2Xfoj5fX3+vu378JmMv8+VtRymRe964N1LiEticrIo4D41rqPFCMa91+z/LosRqnIR3DEs3UcUp3FFoWqYVfLmLKRGdmwxfmvEzmYGsJGTas9fjBuNr5g7Fp3VKG9IXjJ2HquIu5/JrH2VM1gnXrYN06aHLAvdzUguX3AfeZjnPy5EkmTJjAhAkTLNllmZR2gdsIgiAIgtDgqfMSl5eX17+2SnrHbm7rK5cuJL1jz4Dh2DabjS8W/52R450h2fOee5RBw243+ubmus0bbta0qdu84S/e/RMj7zEX7LGkMn8Ghftn+EiMWkPOFxMYdcEEKj2z6RTNoHT2DD9JVZ19t3r0rRfkUC+sDx6Bhfnw9fanmHDlM9w/wxDl7/y9hNH3OJtn31zC6WeXcqCkjAs7LuDWS6bzyqc1LMw3xPWiXz3Dq5/lsvibUVSUbHYft8y4f507dy6TJhnOnOJieOopD2cOwLGGEW8t4jgwF7i83h+gbd2p3D1O4zSkY1jicLWmbPdmN5E698+/Zev23XTr2pkJP3+cXgNG1LffVPAVK7+tql8vXPcVnfvcSE0NbPlmKW+89Fu279pN546dGTHycc7sM4JzzzXaHih3F7hbizdz+D+FvPj0b3hv1cL6H7gvNn3Js69cRb8zR7F++xOAjQtCenfeLPzX81w8YqylOUEVFRUMGeKskUxKgIwOgiAIgiAIgfC4n0jv2JPMzMyA4dgAtO7s1jet49lufXv37g3AI4884t23WZuovaVgCDXDtj9vdaC+FM2AfxsPBnyGgn8/gfFDJtCkyL3rVZ1ncOMgZ99zHzUPI1/3u2ks8oj3HHnPDPDxQCJqzpw4I+I4MGmhdFJKpQVZwzcS4zSkY1imYn+lka3w77/h8ecXujyF28msl6/ivLNGsX7HE9TW2jj/LPe+s2bB2Gy4tPd4vtoyz+XHYid586/i+ovG885nc03HHfer5wEfiSBqYf32d4B3AFgdwVzcVucESR1MQRAEQRAijc1mIycnx229Dn/h2AA9Mwa5PbjvmTHIrW8dZsdoZ3MX1gsfgJ6nwTurYXqQ9ZWTjYDC2k8oeDh9GyMijgPTvu5FkMKtPYFDiiM9TkM6hmWGXD/O576TtZBf7Fukri6eAczgM5NMfydrYOHn/0CpfwRrUtRo1859no+/i5DrxSonJ8drPpEgCIIgCEKwhFNfOTMzkxUrVoTUN729u++l500Lybz4RjK3/IOxF9/D3BU1bCuHszrAhCub1s/9BeDvv8YokiII/hFxHD1C8p7GaZxkPEZKBMZLOoaP/BlNmkwKut9TTz3FU089FQWLwiM1NTXeJtRz/PhxAL777ruEsgsS63OqQ2wKjJxTwSE2+SeRzydIrM+qDrHJP4l8TpnZo3UtTZs41wdemYVSjg26KWgw/lH88aOm8OvJwGQAamvcsyg3a9YUpZpQW1trmkSqadOmNGnSBKUUtbU1nDyZ/ImmYkzS3qeLOA6MiNz4HEMw4cSJk7hmtrbKsWPHIm9MBEhEu7TWCWdXotkDYlMwyDllDbHJGol4PkFiflZikzUS8ZyyYk/N8RP+9vrta4hd321qamoaROZlIXhEHAemPsw3yDmxwYYHR2KchnQMSyil6Nu3b/16UVGRV5uMjIyAxzl8+DDbt29329aqVSvOOussAEpKSjjgUditY8eOtGvnzABdN7a/8Xbs2MEPP7iXZ0pLO5PKylPctp16KpxxRkCzA2LFpniQiHZt2bKFY8eOkZKSQo8ePeJtDpCYn5PYZB05p6whNlkjEc8nSMzPKhlt+uEH2LHDud6sGaSlQRBJpIMmEc+pRPzbQWLaFSubqqqq2L17t+k+z7G/++67hK7lbQmttSx+FuBvGDEaGkgL0Ham1bbRGKchHcPC51UN6JSUFO2Ky7HqFyssX77cq9+VV15Zv/+OO+7w2v/yyy+bju2P22+/3es4v/71PA3abenRw5LZAQnmM4gliWhXRkaGBnRGRka8TaknET8nsck6ck5ZQ2yyRiKeT1on5mflz6Y1a7SurY2xQTrw51RdrfW552r94INaf/GF1jU17vs//ljrsWO1njtX6127ImNTIp5TiXg+aZ2YdsXKpmeeecb0/tps7JSUlLp91ToBdFwoi0vkvuADV29me5+tDOrDiXXwWZcjMU5DOkZCcfjwYa9trVq1Cvo4aWneEedt21ahlPu2LVugqsqrqSAIgiAkPQcPwq9/DSNHwiOPwEaTpJjRoKgILroIhgyBgoLYjGmVlBRYvx6eeQYGD4YmHnfoixbBG2/AhAlGZFm/fvD66/GxVWhclJSUBG7UgBBxHJjVLq8DzaWtE4KhiLxIjNOQjmGJY8eOoZSqX6LFkSNHvLa1bt066OOYiePq6kp69vRuu3590IcXBEEQhIRm/3649FKYMcMQfDNnwtlnw4gRsGABnAw+rUZAtm6FnBxjjJMn4dNP4bzz4KGHjHDmZGDJEvf1wkIj1kwQoo0/cex6D66USri566Eg4jgwy1xedw/Qtm7/Mr+tojdOQzpGQhEpz3Hbtm29tlVWVjJwoHfbdeuCPrwgCIIgJCyHDsE115h7bZctgzFjoGtXmD4d9uwJf7xXXoGhQ6F7d3j8cfdj1tTArFmQlxf+ONFmxw7YsMF9m1IwfHh87BEaF+I5FtxwhPqudaxaFXpvxGOchnQMq6SkpHjORY4K0fQcV1VVMWCAd9u1a723CYIgCEIyUl1thFH/73/+2+3ZA7m50KULTJkS3BhawxdfONfvvBM++cR3+x494L77ghsjHnz0kfe2gQPBZou9LULjw5849pyvm5KStBWc6hFxbI26quFjfTVQSg3ECCEu1lq/5aNNd6XUw4620RqnIR0jYbDiObYi0GPtOY72Q4NQSVS7Eo1E/JzEpuQmET8rsSm5sfJZnTwJt9wCy5dbP25NDaSnW2tbUgJPPw0ZGXDJJeDMF+Sbpk1hzhyIVXnfcM4pz5BqgKuvDtOgBCVRv3uJaFesbBLPseCFQ7i9BQz0I2xnOv7P8nOoNY52a5RSXh7VSIzTkI6RSMTDc/zdd3D0aNBDCIIgCELCUFtrJJFatMh7X2oqpjk3wEhIdc89vo97/LgxR/knP4Ezz4SpU71Dj30d95prDI/y0KHW3kM8OXnSCDn35KqrYm+L0Pg4cuQIBw8ejLcZMUXEsUW01lkY82I/Vkq5zfJQSv0NGA5kaa1Ng2GVUmm4J6cyDTcOd5yGdoxEIZrZqisrK+nQwbuucU0NfPtt0EMIgiAIQkKgNfziF8bcX0+aNYO33oLvvzc8o6NGGd7cOupErxkffgidOxtzlN9/37heBqJXLyMJ2I4dsHgxXH55aO8plhw8CA88AJUeKUvbtIGLL46PTULjorF5jQGaxduAZEJrPUIpdRMwVSk1E9iPkW15GdBDa13sp2+lUupp4GFgmdbaZwKqcMZpiMdIBCLlOfYVVg3G/KFdu4xtTZoY2TsPHQp6CEEQBEFICHJy4C9/8d6uFPzzn3Dddcb6iBHGsns3vPiisUye7Pu4Z58N5eWBx2/TBsaOhfHjjXDrKBa1iChbtxoPFT76yPCQezJ0KLRoEXu7hMaHiGMhIC7hwqH0nQpMjfY4DfEY8aSmpobq6mqv7akhTFTyFVYN8LOfGXOIBg6E/v0hBMe0IAiCICQEn38OTzxhvi8vD2691Xt7585GMq7HHnP3InvSrRv86Ee+k20NGWII4ptughCeY8ed9u0N7/iJE+b7JaRaiBUijgUhedgPdGzXrl3UBzLzGrdq1YomTYKfleDLc6y15ic/SZJH2g2U7OxsysrKsEn6TyFCyDklRJJkO58uuQT+8Af41a/ct8+YAffe679v8+aBjz9+vLs4PvNMuOsuGDfOyEKdzLRtawjgDz4w3x+pZFzJdk4JsWdPkDXV2rVrx969e8G4T09KRBwLycoBoGP79u2jPlCkQqrB8DanpKS4FUk/efIkR48eDWkOsxA5pgRbM0QQAiDnlBBJkvF8euABQ+hNnGgk5po6FR55JDLHHjPGEN7DhhkJv4YO9e9tTjbGjDEXx926+U5iFizJeE4JsSVYz3H79u3rxPGBqBgUA0QcC0IAIpWMq460tDT27dvntq2yslLEsSAIgtDguPtuQyCvXGl4jSNFq1awcyc0gLKqptx4o/n2Sy+NrR1C46YxhlVLtmohqSkqKkIpVb9Eg0h6jsF/Ui5BEARBaGjcdBP8+c+RT4jVUIUxGPOOR4zw3j5mTOxtERovgcSx6z24UoqioqIYWRY9RBwLQgCi4Tn2pC4plyAIgiAIAsC0ae7rmZlw/fXxsUVonIjnWBCSjIyMDLTW9Us0EM+xIAiCIJizcaMRMi1Enssvh1WrjGoWjz5qfM7NZEKkEEMCiWPXe3CtNRkZGTGyLHqIOBa8UEp1V0ptUUoNj9BxZiqlhiul0ly2T1RKLVVKTYyM1dEjXp7jo0fhq69gzhwjkYkgCIIgJBI7dsDw4Ub25Pfei7c1DZPLLzfqPj/5JKSnx9saoTFx/PhxKioq4m1GzJHnTwIADuHaHRgLPOzY7K3igqe743gPO8Zx3feW1npOBMaIKj49x9WlUF0W+ACpNki116+aiWNXz/HkyfDpp7BhA9TUGNuGDUv+0hSCIAhCw+DkSfjPf4xs0Tt3GttGjYJ//hNuuy2+tgmCEBkcWacbHSKOBRze26nAWmApUIwhaqNFMTBVa/1WFMeIGD49xxvzoGB64AP0y4H+ufWrgcKqv/0WCgvd969bJ+JYEARBiC+bNsHcufDyy+AZbVlTA3fcYQjnO++Mj32CIESOxjjfGCSsWgC01nO01j201lkOT24kJ8Au01oroAdwvtZaOcZKCmEMkZ9zHCisesAA7z7r1oU8nCAIgiCEzJEj8MorcOWV0Ls3PPWUtzCuw26HSy6JqXmCIESJxiqOxXMsxAStdXG8bQiVSM85DuQ5NhPHa9eGPJwgCIIgBIXWsGYNvPQS/PvfcPBg4D7t2sHSpdCzZ/TtEwQh+og4FgTBFDNx3Lp1a+idDV2yjA2L+3l3vLbA+D/V5rY50JzjgQO9DyWeY0EQBCHa7N8P//qXIYq/+cZ6v9694bXX4JxzomebIAixRcSxIEQRx7zm8zHmMq8F/pYs3mSzsOpWrVoZSbZcEm15kZZpvjlAWHVGBjRvDidOOPfv22eEsXXsaN1uQRAEQbDC5s1GTd0FC+D4cWt9mjWDn/wE7r7byFYtJYYEoWGxZ8+eeJsQF2TOsRBtuiulljpeTwWygC3AlmQo4wR+PMchEiisukUL86fv4j0WBEEQokGLFvDGG9aEcZ8+8MwzsGuXIaavu06EsSA0RMRzLAjRoT0wwsNLPEcp1QP4m1KKcMo5bdmyhcxMcw9tHXX7s7OzmTJlStBjxDohFxjzjj3nGa9dC9deG/KwgiAIgmBKly5w1VXw0Ufm+1u3hptvhp/9DC6+GNyrMgqC0BCxIo4978G3bNkSLXNihohjIWo4BHE7H7tnYNQ+ngmELI6PHTtGUVGR3zZ1+8vKLNQkNiHSCbkCzTkGyVgtCIIgxJa77/YWx4MHG9vHjoVTTomPXYIgxAcr4jjQPXgyIuJYiAta60qlVCWQppS6KdTSTikpKfRwKQBs9iXNyMgAwGazee2zQqQ9x4HCqkGScgmCIAix5YYbID3d8ArfeSdMmAABArMEQWig1NTUUFpaGrBd3T12HVu2bOHYsWPRMismiDgW4sl+IA24AAhJHPfo0YPCwsL6dWUS6+W6PxQi7Tlu06YNTZo0oba2tn7bkSNHOHHiBM2bNwegf3/jBkVrZ7+tW+HAAaNchiAIgiBYoaYGZs82riF/+IPvdikpsHy5Mae4RYvY2ScIQuJRWlrqdp/qC8977MzMzKT3JktCLosopc5SSp2nlDo13rYkA0qp4UqpA0qp+X6a1blLveOME4hIe46bNGnCqad6n0au845bt4azz/buu359yMMKgiAIjYxvv4VLL4Wf/xyefRZWrvTfvn9/EcaCIDTeZFwg4jggSqnZSqkKjAzLa4ADSqkPRSQHZASG6B3up02dKF4TfXNCJ9KeY7CWlEtCqwVBEIRQqK6Gxx4zriNffeXcPmmSsU8QBMEfIo4FL5RS3ZRSm4BJGEmllMtyFVCslDo3jiYmOquBYozSTV4opdIwah4DLIuVUaEQac8xhJ6UyzODtSAIgiC4smKF4QF+8kk4edJ93/ffG9sFQRD8IeJYMGM+UIUhjntgCOQewPnAI459Ic2TbSgopdKUUmuUUksdYteVZRhh0/k+utfVOJ7qUeYp4YiG51iScgmCIAiRZP9+o9TSj34Emzb5bldZ6Z7PQhAEwRMRx4IbSqmHgP1a60Fa6xe11lu11lWO/9dprZ/WWvcAtiqlHoy3vZHEw6N7QYDmE4GBGKHTbuHTWutK4B7gY6VU/T6HoK4v4aS1fjpStkeLWHmOPcOqzzvPu9+GDWBijiAIgtBI0RreeAP69oWXXvLdrk8fWLUKnn9e6hQLguAfEceCJzcDN1lody/G3NqkxpE8a4tSSgMHHJsrgYeVUtqRWGupSde3MEKn15qVYtJarwWGAVkO7/IajPnFFwDna60nReUNRRCttak4joXnuH176NrVvU1tLXzzTVhDC4IgCA2E3bth5Ei45RbwVXWleXPIyTESOl5+eWztEwQhOdmzZ0+8TYgbUsrJnHZa64OBGmmti5VS3QO1S3S01sswQsaD7VccqJ/Dgxw1EVxUVGRavilSHD16FO0Rf5aSkkLTpk3DOq4VzzEYodXbtzvXe/QAk2aCIAhCI0Jr+Pvf4cEH4aCfu5VLL4U5c8CjFKkgCIJfrHqOo3kPHi9EHJtzIHCTehreWSHUEw2vMVhLyAVw111wxRVGcq7zzgMTh7MgCILQiNiyBe65Bz75xHebU0+FmTNh4kRoIjGCgiAESWMOqxZxbI5SSp2itT4UoNEAjLBiIU5kZGS4FSCP9BMss2Rc4c43Bmth1QA33hj2UIIgCEIDoKYGnnsOfvMbOHrUd7tRo+DPf4bOnWNnmyAIuwH+4AAAIABJREFUDQetNXv37rXc1pXMzEyKioqiYVbMkOeJ5swBlltstyTKtghxJBrJuMB6WLUgCIIggDGl5qmnfAvj006Dt96CBQtEGAuCEDoVFRWcOHHCbZuvqMnCwkIKCwsp9ZX0IAkRcWyC1noO0EQptUkpdbdS6jyl1FmO/4cqpWY4aiCnaa1nxdteIXpEo4yTL3bu3Fn/I9MQf2wEQRCE0GnfHv7yF/N948ZBURGMGRNTkwRBaICYhVSbOYsA+vXrR79+/cjLy4u2WTFDwqp9kwUsxfAOe6IwsjmbVKIVGhLR8hyvWLHCa9vy5cvp16+f27acnBxyc3PDHk8QBEFIfrKy4N//hkWLjPWuXY2EW1ddFV+7BEFoODTm+cYgnmOfaK2LHbWMZwFbMQSxAqowBHM3rfW2+FkoxIJoeY5TU1PDPoYgCILQuFAK8vKgXTv4+c+hoECEsSAIkaWxi2PxHAdAaz0VmKqUautYl4mhjYhoeY5FHAuCIDQ8TpyAJUugrAxatICUFPf/A237/HPo08e7xr0rnTrBpk2Qnh679yUIQuPBTBz/9Kc/ZerUqT772Gy2aJoUU0QcW0REceMkWp7jyZMn8+c//9nn/oKCAsD7x+b4cWNe2fr1cOedUqJDEAQhUSguhpEj4dtvwzvO1VfDf/5jeIl9IcJYEIRoYSaO+/Wwkekv0V8D8vmIOA4Ch/d4mGO1WGu9Pp72CNEnWp7jnj17+t2fmZnptn7//bBqlRFCd/y4se3SS6FXr7BNEQRBEMJEayMpVrjCGOCjj+CVV4wHoIIg+Ka0tJSysrKA7Ww2G3a7PQYWNQzMxHHHvc/C4md9d+qXA/1zo2dUDBG/kwlKqdV+dvdwLL9WSq1WSp0VE6OEuBAtz3Hz5s2DOs6aNbB2rVMYg7EuCIIgxB+lYO5cI6N0JPjlL8FimVFBaLTk5eXVZ0v2tzSkTMqxwFQct4uDIXFCxLE5Pcw2aq2rtNbPOJabgbHA32JrmuBKUVERSqn6JdKYieNIeI7BvNaxLwaa5EVfty4iZgiCIAgRoGdPePttaBaBmLwDB4zEW4IgCLFmz549Xts6edyyqts9lnOno5SiqKgoRlZGDwmrNkdbaqR1sVKqe7SNEeKHWVh1pOoct23b1vQHyIwBA7y3iTgWBEFILK68Ev76V/jZz4zX7dsbET/Hjrn/7+91//4wYQJMmhTvdyMIQmNDa23uOb75M/j80jhYFHtEHIeIUupU4NF429HYycjIoLCwsH490t7jRPEcm4njtWuNeW5RcJgLgiAIIXL33TB2LLRpE29LBKFhk52dTVZWFgD9+vXz2u8ruWnSUl0K1YHnWJNqg9TQ5lgfPHiQo0ePum1LSUkhrevF8Llzm37V8eI2d39iZmZm0nuPG704Vkrtx9tTnKaUqvDTzVXV+M5rLiQ90UrIBYbn2Cp9+xqlPo4dc24rL4fdu+GMMyJijiAIghCAtWuhd+/AwleEsSBEH7vd7jfRlmdy06RnYx4UTA/cLozkWKZe444dozJ1MVFp9HOOtdbtge4YXuBKoB2gHP/7WhSwFXhEaz0rDmYLMSJaCbkgOM9x8+Zwzjne2yW0WhAEITa89hpccgn89KdQWxtvawRBECKPL3HcmGj0nmOor2E8B5ijlFoKDMQQzP7aC42AqHmOq0tJa+nn7qrSESruEhozYADk57s3W7sWfvKT8M0RBEEQzKmthenT4fHHjfWFC+Gxx2DGjPjaJQiCYBmLIdkl2zd4bRNxLEwC8kUACxBFz/HGPNqWv+l7/2LH3BmX0BjJWC0IghBbjhyB8ePhTY+f66eegj594K674mOXIAiNkN7Z0MWYY11/n+jKtcYca1JN5lhbDMku+XaE17bGJo4bfVi1J1rrYhJwHrFS6lSl1Oh429HYiOac47QgNbZkrBYEQYgdJSVGxmlPYVzHiy9KeLUgCDEk1Q5pmcZiRt2+EJNxAZSU/+C1TcSxgNb6xXjbYMJbwHyl1P/ibUhjIqpzjoM8zDnnQBOPb+yOHVDhL3WcIAiCEDTr1sEFF8Dq1eb7s7JgyRLv32RBEIRkRsSxhFUnEz1wJgoTYkTUPMe9s2l7SWv4x8Pm+01CY1q1MrJWu1SuAoybuOHDwzdJEARBgPnzYdw4I6TajGnTIDdXhLEgCCEQg3JMplgMyS6Z411gXcSxkKgMB27C8CALMSJqnuNUO2mdTX6c6vARMjNggIhjQRCEaPDDD/DLX8JLL5nvT0mBuXPhtttia5cgCAlGOAI3BuWYzG2x+xfbjvvOkn3e4YgijoWERGu9FXgm3nYkGkVFRVGtvZYodY7rGDAA/vUv921r10bEHEEQhEbL//4Ht98Omzeb7z/tNCNL9eDBsbVLEIQEJF4CNwbs2bPHa5uZOFa3O17c3vDqH0tQkCD4QGudMHWO65CM1YIgCJGjpgZ+/3ujfrEvYdy/vyGeRRgLgtCQOXLkCAcPHnTb1rRpU2w2k+zXDRjxHAtJTUZGBoUuccaR9CIfP36cmpoat23NmjWjRYsWETl+KOL4vPO8t23caIQDtmkTAaMEQRAaCdu3w09/Cp9+6rvN6NEwbx6cckrMzIoJpaWllJUFDgu12WzY7RGc9ygIjZ1wyjFFmZKSEq9tp59+Ok1MEizoVx0vbtNu2zMzMykqKoqGeTFDxHGSoZT6SGt9dbztaAyYhVRHymsMoYVVp6VBt26wdatzm9bw9ddw6aURM00QBKFB8/HHhvD1cJLU06oVPPcc3H03RHHmTtzIy8tj+vTAYaE5OTnk5uZG3yBBsEBpaSl5eXn169nZ2ZYf3oTT14twBK7Fub/xwEwcN7b5xiDiOBmR1EsxwiykOlLzjcEQ2s2aNePkyZNB9Rs40F0cn3kmHDgQMbMEQRAaPH36QNOm5vsGDYJXX4XevWNrU7BY9f4CzJ8/v/51dna25TEOHz7sJo7DEhSCECZlZWVuD3WysrIsn4/h9PUigQVuOIg4NhBxnCAopc4CpgLd/TTzt0+IMNFMxgVGCHjbtm2pCLJQ8R13wIUXGsm5BgyADh0iZpIgCEKjoHNnePFFuOkm5zal4NFHjTJNzZvHzTRTzLxeVr2/48aNY968efXrQ4cOtTzu4cOHmTVrVv16WIJCECLNsQqoLPS9v26fmQc3UN86Il1SKYERcWwg4tgiDvGaBhRrrX0EYoV87AFAPkYd40CIjzBGRDMZVx1paWlBi+ORIyNqgiAIQqNkzBiYMMEoz3TmmfDKKzBkSLytMsfM62WVo0ePuq2Xl5dz8803M3DgQKqqqrjzzju9+hQUGGGhFRUVzJ49O0SrBSG69Dvf/xdWtfNTMnPb67DBwrmdhBmnQ0XEsYGI4wAopWYDN2MI47ptS4GbIyiSZwLrgL8BxX7a9QDkKhUjIuk59jXXJVBSrojOkREEQRDceO45aNsWpk2Ddu3ibU10WLVqldv6mDFjAvbp18+PqBAEoUEi4thAxLEPlFLdgCUYgtSTq4BipdQwrfXXERiuu9a6p4V2HyulnorAeIIFTpw44bUtVM+xr7kugZJyRXSOjCAIQgOkpsbI2H/okPP/Q4dg8WJ48EE4/XTffdu0gWefjZ2tkSIY8Wp2wysICUN1KVRbmDsfh+zNjQ0RxwYijn0zH6gCJgHLgP1AewwP8gjH9reAXhEYy5+32BPrsVRCxInknGMIrZxTUBeSRjJPRhCEhkVVFXz4IXz/Pezc6RS8dYurCDYJ8qnnu+/g/fcbZsZpQWgQbMyDgsBz5+mXA00jeAt81i3QfYrxOsFKKsULEccGIo5NUEo9BOzXWl/lsavK8f864Gml1BKl1INa61nECK31x7EaKxkoKiqKaG3jQERqznGgp/5+31MwF5JGMk9GEKJBwpQNaYBo7V+wlpfDLbeEP87ixZCXB1OmhH8sQRB8kIwP7VPS/WeVTtKM0+EQjDhWtzte3N7wnjyKODbnZmCYhXb3YswBDlccz1RKzdZaTw7UUCm1SWsdCW+1EAKR9hwLgpC4eE5rGDp0qKXSOTabLemmRJiJeSDkUkF177WmBgoKYN06wwtctxw4AHv2+D7eWWcZGaNNZrcEzYMPwo9+BBkZ4R9LCB2rpadsNltCf1caNKGK3AR9aN+rVy82btwIQGFhocyl98Px48cpLy9326aU4rTTTouTRfFDxLE57awk29JaFyulwi6vpLX+WCnVXSn1BvCkr3nMSqm2SDknNzIyMigsdKbij7YXOdLZqgVBSB5ef/11S5l7c3JygsomnAiYifn58+dbKhU0efJkt8/ljDOy2L3bzmefwZdfGqHPZpSX+y5F17Qp9OxphEX7phTIc1k3/8yrq2H2bLj3XmPdZjPCJBurZ//tt9/msssuqxeqsRIMVktP5eTkuNVWFoIkHC9uHERuaVoWZd0GGCufmpTjuHwhALa0nuDjt8QXmzZtYuPGjfRO9KLlCcDevXu9tnXo0IHmPura6VcdL27TbtszMzMpKiqKtHkxRcSxOcGUS4qUGtuPMZf5JofAqzRpE8IEVSGSJITnuHc2dMni2T/CA2fLPBkhOKLlIWwMWC1pM336dEsioKGwaZP7+j33WOv3/ff+67SffXYgcVwGOD/nli1LOXrU/G/0l78YCzgfXoQaFRCPc15rHbiRD8aOHcsbb7xRv960aVPLQtWTRYsWkZnZ+MJNk4oE9eL6Im9uoIdwhmDOyckhOzubyZMn8+KLL3Ly5ElLx3///fd54IEHsNls5OTk1G+ve0gmGJiFVHfq1CkOlsQfEcfmKKXUKVprv8+oHPWJg0mm5es4YzASgLniq6hE1OscO7zhS4FJWutlETjeTRgJzMBIagbwN631nHCPHWsSwnOcaodUO++tggfONtnvb55MMs4LEiJKJD2EwYQKy/zd5CIYb+KyZZ6C1Frt9o0bIS2tkCkuE4Iff/xx0tPTATj/fGjdGrp0McottW4NrVoZ/595po2Skgpuusl5vCuv3MZ//hN43NLSUnbu3Om27R//+Afz5s0L2LfuBj2W5+PBgwe5//77Q+7fsmVLt/V2YdSseuyxx9i0aRP33XcfLVq0CNje9WHa4cOHLY+TMN/5cK6Z8eobDxwP7YGoJrdq2bIly5cvtyyMwSmO7XZ7xCIS3KYI7DJp4IhoTKYpApKMy4mIY3PmAMuBCyy0eyNAGys86jiWlTrHqyMwnhdKqTSMkO2xwMOOzWF7qpVS84HhwDCt9VrHtu7AUqVUltZ6RLhjxJJIeY4LCgrqn76bhYIPGzaMZcuW+Z0jM3iw+bGrqyE11cfASfZEWWg4NKb5u8ILwHYgA/D1YwQFBTbat9/MypUr67fl5eW5eTl9MXDgQGpqaty2/ceKMsaIAPCMAvjyyy8t9YXYltj77rvvGD16NBs2bAj5GB06dHDzmPXp04fly5eHfLx58+ZZepDg+TBt5cqVjBs3DjB/+FJQYAgo0+/8DUOxt4iD0AznmhmvvuEQqsh1PLT3SQSSW2mtmThxIt9//73XvjvuuIN//etfpv0+/fRTKisrQ6sO4oOAkRdTjc8umaYIiDh2IuLYBK31HKXUJKXUJuApYA1GmHMahudzBHCTo20kMlWnaa3vtdBurVKqKnCz4FBKTQSmAmsxPMbFRGBus1LqYYzP6fw6YQz1c7VHAFuUUjO11lPDHStWxMpzvHz58oC1KcePB/K9t7/8Mkya5L09bJLtSbZgiWA8hJ6CwjN5hz8qKty9icF46pJt/m4y4ik0w+NNx+KfNWuGUFzs7sV0Fcr+WLt2beBGQRCO+AwHf0mqlixZwm9+8xuO+KhVdckll/Dkk0/SwV9sOubeq+wJWWRdPcBvvx27SvjFr59h0+bQAuSO/rDfbf37gtWcmqrZXLzDtH1mZ8eLVPD6SLa9DhssTGtIJKEZL8Lx4sZA5HqSnZ1d/xvv76HJBx98wOuvv+61PyMjg7/+9a8+xfHJkydZsmQJN998cwStbniIOHYi4tg3WRhC0Sz0V2GI5YERGiuYK0+3CI1ZjyO8uf59KqUiJa1mAsWuwthlzGKl1FoML3XSiOPWFR/BN46kBb2zLYtAW4sKcu7o6rbuD601b775JrdeO8Bnv969MRXHM2fC3XdDsx8KYbVL/ZILXrBkK2AI4aVXuvfdMd/aDUbPyVDlkozhgheMi7AVYX2sAr75rXO9/+NGuYVA1B3f8/1avZBXmnxW0e4bjzEBDm621s4Co0bewMWXXEafPn3o378/mZmZbiGcR44cYd++fZSWlvLVqg/d+loRxmA+f7diez5YnPdYumkVeY/fWb+e/dt/Yu91RcB+NTU1vPaP5y2NYYmDm4HANodqL0Dhl4uYMvGu+vUX5rxM5uAb/fapqqpi7ty5PDNzhqUxIomZEDZLCpNImM4nL883zxLiQemuzeTN/EX9evZv/0ney+8x/ffBP2PPvvsWnvvTH2h20sJMq2MbYKmLMLjgBeyV87Fv9f97ngnYfjOGC8aFJo4/WfqB2/rEKQ/6ba/a+XlQd3y/732eeP4+tg0iTXmofc2umVaJdN+0TGsCt7IQPnU/L+JxzbRf8AJ2P7/nmZmZ5OfnM23aNK99rVq1ZP78+QGj+t5//31uviozctfc6jDOiwS9LzEVx1VvQuVt1se16kRJcEQc+0BrXQz0UErNBMbg9KRWYjwSn6q1jpQXt1IpdaqVDNlA6Fk5YohjnjEY3mhf5AMDlVI3aa3fioFZYdO6fCEUGJkT6ZJlWRzbUw+Qe81254bUwDc0r732Gr8YfVbQ/bZuhTfegNuv2AxlLjefhzZbf6JckQ+bZ7v3tcrx/d7jWhXWXca6992UBzsszFzolwPtBrj3rTB5cmBGqo3Srfnk/dXZN7vtcuxWklum2ihcs5wp9zn7vvDHRWT6CHl3pXTjcvcxO+Rj72vxIUJFvvdnbPUBRGVh4DYWOVB5kMWLF7N48eKIHdMKC958ldqaWmwd2vttZ+vck7LtXzP9X87vUNZt/8Vu8//AZe3XRUx64Eny166PiL0Aezd/TmbfngHblW3+r7u9d30NKemU7Q78Hcz/9H1Wfuu8LG0u+Apbp56mfbfv3MOr8z9g4eKPOXKk2uK7EEzZ8TrsHhewWVnNj73/thWhzZTKvuUSmhXPCe13NYjf85ZNrM8T9mT73h9C7uvFiSpoarHtIfdrX2l1GmVm80I9sHU8jL2dx3Wz+3jo7RAZwV4zw7nehtPXqpA5ZHKPkIB9Dxw4QFZWFsePH/faN2fGvWRYqNG2ePFiah4fSdMI2Zw9djxZPzXOC79TBI7nw3fJ8fcxFcfNNgc3bnUZHBNx3OBxhPxOdZRRIoKC2JVHMBJyXW2h7VbAgist7tTNJfb3yHmL4/+xQFKI41aB84842e3y1Hy/h1Dbnw9N/H/9vvrqK4q/Weoe326h37XnfcBnb8Ktmfk0CbIvh7cZ///gcfO0Px9+2OLV3JSjHsVLw+nrue6LQxtBe4SFFr8EX40L3LfrrZTtPZXpC5ybhl7yImUr7gvY1ZYxis2bm7HSJSIz/+N58M1jAftWND3Hbcys277AfuQj2P5aYJttl7uv7883HiJY6Fu6O/nrPD738lKee3lpwHY54/sx9DL30NGKotfhgPnf5+ARmPYW/GUJ1Pp5DDmoG0wbBT0c5R+3l0Pu27Daz6/dyImzeObWp5k4FJo08d2Owx4BSVWF5OXOYfo/Cvx0MrjqfPc5dTs3r2Xp4rd44Z1NPnpEhvRTm1Fx0HqCnAZHdSlYSUdRXeq+XlVoRMuEQlUhtLTyPJ3wfpM9bY4XLWwwwOFRzZ/ivX+QY1/ztl7X27z39jL9xcBD5Ny3hdwJHnPkf9gMqX7C1v1dM8O53kazb929SQj3JSH3DeN+aNwt17Bt2zav7ZOGwu1DWrsf2wcVFRV8tfJdLnGtShSGzfYmm7Gn+T4vMtMc9pYnyd8HKNnhPbWkY5rFcRsYKpzyAELkUEoNw5jf/FeMOc6et1ntMTJY52utrT4/DdWWNRgh41mhenRdjjFVa/20jzYTMZKQrdVanx/k8QuBDCt1jq2c45988glDhw4N2G7VNLi8TzCWBkbd7nvf72+GX/uPihQiQOEu6OcS3D95OMy2kKd95PnQJR2eX+LcNqgb5G8N3Hfc5TDvU+f6yt/AFX2t2VtaBXku9mUPB3tb/32qj8Oz/4HfLYSj3g/gGw3zJsEgj4wKWsPSb+Gp96DUj95o2wqe+ynceTl4/tRoDX//BB56DarMp4gCcEUfePFn0NvHVK5VG2DIE9beSzQ5oz384sdwZV9oGeChYH4xjPtbbOzyx9jB8IaFvFo5o6H/mTDmuciMu+QRGHFO4HaevzPhUDATMs+IzLH8EUmbwyGc95v7Nm4PIn2RMxpyx4Q2hhAZ/N0PuTLwLPgsB1JdfpsC9X30BnhybMim+cRs3PoawElEpylQ4jE9pPiP0C3IFDKZD0PRbgCKtNZJWfetcT0KiAJKqU1a615hHqPu0XEa5nOcXbEwsykhCCYtYMgpBLds2RKw5mLd/uzsbLeSIaHQKiWs7kHz2ucijuOBFWEMsHCN9zYrwhjchTFAwS7oboeqo4H7bt7rfrM3NMO3ONYaFq2BX70KxWE6gS7uCV9EbspyXPjlK1DpR7z644MH4VKz8mkYYvmeoXDdAJgyDxb6iOpftQHOecR4ADPOMZV4Rzls2gub9/n3PseSf02GIRan1VVEMHo2VjT1570PkmueNh6U3TPUeKhghtawwm/NZsEf5YcMoR4I2ynG/64PDw8HMWsglAeP/o5V5rcgqIHtlNDHaIy0bQXzf+EujK3w/rroiOOGQE0t7DOJi+3ouDt/YYn798IfW/ZFzq540ejFcRBzfb36YYQ3h53VGSPBVxqBhW8aESivFCP8TwZ0J+TP8NixYxQVFfltU7ffStmYQLSOsTgu2AXf7oBzusR2XCH2TJkH/zfPWlKBrIvc1w8cNr8R27zX8IZ+GUDQ9u0ED10PF/bw3y6/OHLi+Ed94RMLYqFTGpQegpMRSqYcqjAGSLMQOtupHSz4JTz3IdxvnjyV4yeN/c99aL4/EehwqvW26W3c161GXuSMhgFdYeQfnduC8f4OzYAhv3Nuu/ViI9w9ELZTYIPH9LpxV8C8VYH7mlFTC2+vNhbBN65RG8F6o++cDTssRKDnjDZ+H10fHq6cBuOG+B63YKbxv+0U4zfUbbrLRaEL17xl4rGOBvMmGQ+Sg+XbnbC9DLqGV2q5QVJ20HsqUVor5wOIskP13uBGQaMWx0qp2cBEpdTftNbZLtuDuQ2LhCe3GHjdSlmoIG1r8KSkpNCjh/OO3kwo1yVrsNnC/0UMas5xhHjtCxHHVvB84u8pIM04UQMb98A/P4ueXcFgdZLL/K/c13PeNsRjYQgXr/uvgadvhWYWJmtE0kN41xXw53GB29lOMbytWRFMHB1tlLIWZit4c8251gWu58OgnqdbD7317BsodLyOFs2MhxtC8Pzn69DD760I4zrMfqcyz4D9Pn6/XM8ZK55eITzC8c5PHgbrtxtLsH0BPlgP2SMCt2ts7DHJ9drRxRVnOwUyOnu3MWPLPjiW5L+RjVocYySCUjiTR9VRhdOT66t+QHsi58ktBiwGLGAxaDPu7Mf6ZxPyA4YePXoEnHPsuj9cYu05Bnj9C2PusclbE1zwfOJfetB6eHSy87V52VBL3H2lNWEM3h7CgpmGULfiHfGcY93NZl3ISMhhYmM7xfB+1ZF1EUyxcANaJ3CHuORxGNQ9uLmlruPWhdRaIVSbmzWBGe/Cy58GbtsQCec737K577autE6Bw8dCs09r2OJRDSzQHH6r81yThUQP5w7VO39JL5g4DAb8Ovi+dby/TsSxGZ5zjQE6upSgn3KVsVjBZc5x0tLYxfHNGHV2Z3psLwb+qrX+e6ADKKVqwzVCa225MrnWOnAtkMSg7qtmJbN2EAUM44vbnONrC4z09u/2NM/8eZuLH3DnIvh0pHP98oVwpmMy8e3+Ve/WMvhqMwzu5dEP4N/efdXtxrg/GbiId3/lY0wffettNrPXdrGzVFCg0hKuWaIvXwgH1lkvOeJauslz3Rf9csCeDrhkmG7TA2dCdMEnA58He4W1v0/HHwMuscADnyf7gh1kXRS4TmtF6x8x79NP6tfTe3scyxf9ckj3+NtOHtmD2QsD/22vOL8LtU1a89/VEZrs6fn+fWF2PobIeRndSG12gi+/CTzhcuzQM3lj+c769YUvPsraNZ/zuEvJMF+M6NeDpQUun2kQ54X9nLHktg3te2tvN4AVZ7j81gTZN7dt7Ps+dF46L48I/2/bulUqXU5rw3dbywO29Trng/neer63YH6TTb7zbH0bCHxOtUx3/w1ueeZQYHnAftnZ2RR98z8++NhiOT5g5HXDKN62kz8u28OhQ5ELcano9nsKMxzXzQ9MrnvXOa57e5czP895TmT/Zh7Zs68h63Hjmumv3A97l5Pr0dc+wFmvPNhrdd5L67xrcZuQ88ux5F7gcV6Ec49Q19dfP4Blf8btt3Hg8zD858ZrH/dDHTp04I3l66ja8I5bX7e/D4ErMSwvMuagt04N0uZg7+GsfE6Bxo1hXzNx3KnOvRXM51RZCA8nf0WMRi2OtdbLMPfY5jsWK/ir49uYKcbIVu3Pe9zDpW3Co5QitblH4GvtCTi83bxDBHntC4c4jicb8/zfTNUJ5i6JkfHCingKl5zHHmTAWc0Zec+M+m1jr7uQNz74X8C+g8/rzpfrE+TUd62p6QfbxuXkjHbeKNvST8Xe9yHsA8YF7Fu6cTk5o53i2Hb2tdA7sKgm1Qal7qLllptvZsrDgePmbZ178sWSVyMnjjtcDheHZnOo5N5/C+u2neDLbyyM27Ij4BTHJfvgjaUXYEXIdOrVFQo8vjMWzwsq8q0JS8GNf/6wMuu4AAAgAElEQVTxF3yz7kumW3h4ES9saSnu3vl065PRW6c2c/fO/7gFU861MOYFrSi79s6gxPHCDz623DYYXl/4MbNv9lOab6px3Zt821Bmu3pDJx8kc4Adu9335Ni6ZKGFJcvdPamTDxLClNqkpd+I+wj0ILG8vJwzzzzTa/vr733q/+/jwbET8HEh3BBUfZSGj6nnOFkyHEWBRi2OfaG1vjeItoOiaYsnkciOHSOWAjfhPzFXd5e2CU+rVi1R5zzk3JBqg8M7QFuYXHFKT7ANcV8Pgjf+15xnf3kxTS3069IFduyAzft6sqLIGPO006DvKT2NmpXVfhKTVTpC0Fu087b3wDprxrZoH7m+vbKh37TA/VJtcPgLa2NY4OILzuWL1V8HbtisNbR0D4645tobmTZzbsCu+SsX8eUU6xf1qNG6C6TajSUA9t6Qe6/L36fboND79h5qRF5YwNb1XHLu6Fq/3mfQj7H3usJS33Yd3dNLj7v1Rua9tihgv5ycHLKuHkC/S1yevqdlWraZ1pFJFNCu09lk33ANWbeOC9i2Yns+e3d8T62G6mp45rmLKC67GDDvm54OjzwCP/4xqB82c1Zrpzi2dT3X8t/W6BDi97a6LPn6Rui3psMZfWFHDVYeXrTuOIicO5zXGlvXc+FoYC8sENZvsv20Tl7f+eybC8jqFthmW//B2Jue7tzQthtYmcKR3pqywwmSaOOYxdS7nu1ad6m/3h496iNddt31trnHAweXvj7xd63G4vU2xeS8sEo49zQR+m0EjLrWQfL+dx254ce9Y/N+w/mcYtjXVByf0QNsZwQ3bqoNUmxA+Alw44mI4xiTINmxY8GbGDWMh/tpM9Dxf0i1lGNN69ZtoH+u+8YD6611TsuEESssj9WiRQuOH3cWo9134ASfNJvGcAs35g89BD//OXy3O5Mf/d4Ys1kz2JkFp+/Iteb97Zfjbe+O+daMT7XDhXke22zWPFCpNus3456cGrkZB1Mfm07PnoGPZ7PZKCsrY8gQ50Vo0JAbA5YXA6iocM8ws3LlSpYvX24pHC4rK4v58y3+PQIRzOcW5Hkcqb72XleQ+8q2kPqmn+X+/HL8vQ/w4GO/D9iv7m/rRjCflUfbyZMnM3v27IDdPNuldx2E3e7fA1VPZiafXHMXgwbB2gLXHe59mzSBKVPgiSegbf29ZSaZg0OsGxfOeZFqT76+EfqtSe86iOxB1h582Gw273Oguk/ov6th/CbbL7YWLeLV95vcwH3qiODveTi8+6m1hA5HT7jfTrs9VPOBaucj/PTUntYjtUyu1dnZNrKyjL+tv3Bum80GVn5XzAjnOx/Jv21KMIVRDD74WqGHf2Kao8Ynob7fOF0zg+1rKo6v/B2MuCW4cVPtxvdexHHjQSnVFhjmWC3WWltURvX9EyU7dkRQSqUBH2PMGc7SWtfbprWuVEo9DTyslBruCGF37TsQQ+jP0VonSGypf1q3Nqnjcig6RV+vueYaFi1y92699tprDB/u71mDwd13Gze9paXGTfAttxjeodNPB8Kpc2s1xDLVJCt4MB6oBKBnz56WBC6A3W5nxYoVQY+Rnp7utZ6dnV1/U+OP/Px8N3G8cOFC1q2zNs/MqkhrKNhsNnJycurX+/TpY01oOnDtG07G+1tuucVSnfWKioqw/j5KQW4u3HCD+f7hw+HZZ+EcyaYdMUJ98AFYf/BhRji/q/HoG8w1ZEvkbq4fGX8pd2V8Rg87tLgrcHtXdpcama0u7AH/M5mp89XjULATFhcf994ZJ+yngt1P9vXMuqzDqSY7rXqsw3mQHUHcfldN5oQfvvIrLrvsMk6cOFG/bc+ePaxfv54BAwbEysyEp8QsW3XHjrE3JEEQcWyCUmq11voCH7vr5sneopTqhiEKt1k8dKJkx/aJQ/DWeacvwL9XdyJO7+9wz7Za66kOETxfKTVMa73WMUZ3DFG9TGs9KZL2R5NWrVp5bzRLxBUBbrvtNi9x/Pbbb5OXl0dKiv+U2S1bwtSp8P338PDD4FLpKjySTOAmOp6irc4zZOVG2dPr3K5dO8vCOlzxlWzY7XZyc3Nj3jdUUV5aWhq2IL/+ehg2DD52mYbZuzf84Q9w3XWS+V6IE0FdQyInjvtcMpaazIfYCIC3R/fh+ybwj3+/Q1m5iUJwYCaMAS7ObUJtbS0QobwGQVJacZg8l9+o7Oxs7HuteZ1LOz5I3krnQ/9g+tIvxzuSLg6kp6c7H2SbzYS68EJ+9KMfsWTJErfN77//ftzEcWlpqTMqySzPoqPCimm0SJQw9RyLOBY8MJUTWusq4Jm6dYfI+xtwtcXjJkR2bJNjDsd4H3WiuNKxPKyUetjxOl9r7Snq3wImAZVaa1MRrbUeoZSaCLzoEcIyVWs9J4JvI+rE0nN8/fXX06ZNG374wZl1s6qqig8//JAbbwwc+vjAAz52hOP9TWCOHz/OM888E7ihCb/+dQ6DBmUxerTzqfPf/26Eou/fDxUVxgLQsyf06QN9+xpL9+7Q1GIZJE/CEV59+vQxFV6xEl9CYEL9+4ZzXtShlOEdHjDACJvOyYHJk6FFHOq0N0Q8H3xkZWVZigoA3L6j8t2zTkFBQb0IMguH1dqZLHPVqlVuU11WfLaWcff4Tvj09PNGjohrrrmGNWvWUFpqPcTKEMZRwOK1uqy4gunTne81KyvLcjKvsgOHmT7dmegvmL5eBONx9sBzGpknrn/bwsJC01Bxf1x//fWm4njaNAs5BqJAXl6e/ygvR5K3nJycsK8FVtAa9lZ5bxdxLHiiAzcBrXWxQyBbO2iCZsd22BW0f9ERDh2wn0MER0UIFxUVBTdvJAxi6Tlu1aoVN954I6+++qrb9tdee40br7449LCnOHl/3Z6U+iGUJ6XFxcXccsstrF69OiTbSkpg9Gj3bX/6k3nb//7Xfb1FC8MjVyeWR4yAyy4LyYygiJc3VHCiNWzeDOXlxpSFTp0gQFBH2OPt3w9bt8L8+TBmDFx4oe/2/fvDv/9thFGnWymoJ1gmnO+Q1ekagjsVFRUUOjxqZhS6eNs8p6y0bNnS0hgXXnghTz75ZGKE21q9Vqf4/kxiSjBzpJu6i35/whjwK6ytcN1113Hffe4PR/73v/+xb98+TjvttJCO2ZDY/wMc98gr27p1a045xX/h+Pr64AHKkSYjIo5DxJEg69FIHCuRs2MLTrw8x7o2auIY4NZbb/USx++++y4/rO9Om+IZPnoR97Cn0tJS8vKcCbmys7MDPyl18OCDD7p9ztnZ2X7F8ptvvsk999zDwYPmOe46dLDx1FMzGTzYt4rYv9/GP/4BkOOy1dpF+PhxKCgwlrp1f+J47lwoK4OaGqitDfx/bS2ccYYh3i3kBxNiwObN8OqrxrJpk/s+m834ez39tCFKrVInfHftgp07jf9dX9f9f/Sos89//2ss/p4Njk2MqmqCEDSe3vn33nuPWbN8lzOr8ybm5OSQnZ3t1vfw4cOWx23evHkI1nrTt29frr32WgYPHszgwYNNyxABTJw4kfvuuy9ob6gvrBynXtRgMr0mBtFldX/br7/+moULFwbu4HJPYzs9O+jIp+7du5ORkUFRUZH7YRcvZvz48ZZsNruvsRqp5dkv0ZCQam8avThWSu3H21OcppSqMGtft9/l9dTIWyVYJSMjw+1pcjS9yF6e46MlUOOjREMEGDFiBO3bt2f/fuc09KNHj/Luiu+5LUGqXJhRVlbmJoStzIOto7y83O0GaMCAAaZZo6urq5k5c6bfjM39+g2l8v/bu/fwuKpyf+Df1XuTFpKWpFABaQJYmqKYFp+DfbhIk3JLVTxJSxDUI5BAi3AQSagCLVaJKUcUaEtTKIogtU0FHxAUEuToT9ADTY4cSkUlKYilkNAmXEovtKzfH2vtZM+efZuZPTN7Zn8/z7OfJPs2a2bWTPa711rvGlyPESNK4dZY89bQDBzLfJfTyQknuG+/7bah4UQJaW4G5s1TXWNralSXb8qct98GNmwAHngA+POfnffr71eLl6uvBrZuVTc/7AJfP559Fti4kQEw5Sdr63wiLfXWY/v6+vC1r33N8zjbDPVJamlp8TUEat26db72y5gM9C4rLS3FlVdeiRO8/mE6HJtMr42ampq44PjXv/617+DY7rrGT3Bsd5w5P4hnNvEMSDY4lkbbzYWxIVRFRUXca51rIn+JJaWcpLNQL4QKdKfpTcUeh/YCaJNSOt/KpLwS13KcxlZjQI3Dqa2txdq1sT3SH3z8RVzou69BbtmxY0fM3+vXr8eGDRuSOteWLT8GUIolS1QX1EMOsd9vUuIzQTjy+l8/YkTy537ySbUceSRw2WXAtdcCdsPgKRh79gCPPKIC4t/+FjjgYzpzw8c+5r792WeBzX4H0rhoalJZqX32GiWKpEQyggcVHBcXF/saTnTw4EGsXLky9/NAJNjifN111+Htt99O/XF9jnWuqZ6DFStiNz355JPYt2+fZ5LToHnVx0wPvXiDmarjRD44BoYSba0FsFYI0QGVgdlxLLHeP2FCiJOgsk5bz/c7y35fgkraVQaVDOt5qARWdrn4KEPiWo7TlIzLrL6+Pi44fuJP27Dzp3/E5Ekeicttuj3t2wfcdx9w//1ARwcwzm4qh4Al0l3siSeeiPn7scceS+GRVST61ltqaiunfF2jRwOzZqnXYtIkNT7TWMx/790L/PWvscsuS2756dPdS5Rs8i6zf/0LuOsuYEkggzrI7OBB4L//WwXEv/wl8N57yZ3nyCPdt//LLkNpEnbsAJ55JrEu3ES5yG82/qADS7+JwKyJoiZPnux7ONFvfvMbfP/73w/HWOdkJdDi/PTTT+OnP/1p3PqF55+NDQ//Nv6Ac/W4Jbuu3D7HOp8y/UYUFxdjYGA4Enz//ffxh8d/hurPfdb+WJexzl7XNZnKhRMEdquOx+A4XiNUZuakAmAPF0Blqzb6IGwD0CGE2CylfBcYngsZasqnQagpj8oAdAshGqSU69JQLvIh0y3HAHDqqafiYx/7GLZv3z607sCBA/hl50toaGjwfZ733wfWrlVTubzxhlp3331AYwoTafX3AytXqvmUzYtx/iCYs3Wn4vbbVWvr8cfbb/fbinfOObF/9/cPB8r/+hfgkb8ipZZjs8suU0F9GBw4AAwODi/vvw8cdhgwbVr6Wrb37QP+/vfYGxX9/erxDj1U9RI45JD43486CjjpJPtzdnWpVthE6q8QqrfArl3qJoyUqg641YMPPzR35U/M+PHqORx1lMpE3dAAHHdccuciyiUpzQedA77zne/g8ccfz3Yx0m7v3r24/PL4rm+HHnoofrz6J9jwsE1QVpR6S+qoUSNwzjnn4MEHH4xZ/+u2BlQ7DWlxSSKWT+yC46lTp2a+ICHC4NhCZ6BOyzhiKeX1eixzI4BGKeVT5u1CiH/X2ySAJnOXbT3d0gYhxFMJzKtMAcpGy/HIkSOxcOFC3HbbbTHr169fn1BwfNVV0EmnhrW2Apdckvz41T17gO9+N7ljM23u3GBaba1KStRy2mn+9v/KV4bLMnKkCpbdfr7zjmrl7zHdhxkxQgXHbvbs8d/Vdt8+4N131WMZy7vvqsefP9/5uP/7P2DOHBUMOykpUUHyMceon+bl6KP9ZXfevRvYtEkFwFu3qp+9vWq8bqJqaoBHH7XfdvzxwIDzNKcxZs4ELr4YqK9XgSqggt4dO9T4ZDc7dqgg2soIfI880vlncTHnKCZKJ2siMAC+smQDSKlr9G9+8xv84Q9/wGl+/5k4WLx4MVatWuW5nxAC9957r+8xt0FpaWnB3//+97j1ra2tOPzww9P62DU1NXHB8aPdwI8vjvb3KluO4zE4tiGlvNttuxDiSagxyZullFf4Pa8e27wAQKXRUmyxBCow3mQdyyyl7BRCLIEaF+37MSk4QbYce41FMk9LUV9fHxcc//73v8f27dvxMa/BjZpdcLxtm0oy9OUv2x/jxfl//8HkTpgGxx4L/OhHwHnnheOf39VXJ37MjTcCnZ2qK/Ujj6jWTYfEp0O+8hUVUH/2s8NBtl0A/M47Kji2c9xx7sFxYaF7YAwMJ6h67rn4bUKo6Y+mTVPldQr4P/oI8JFLxxenceeAau394heB9evtt0+dqj4rF12kpkmyGj1aBfxHeyTLO/xwoLtb9TQYMWI4+GXgS5R9donA3LpGm7NkWxNFOXUF//DDDzF//nz8yzK+YsmSJfjjH/+YUpfctrY2X/tJKXH99dcn/ThWfsZX9/T0oKUlfqaNz3zmM/jsZz/reBPCfD0U13sggbHOZx05CiNHjsTBg8PXKNv6gZffAE7wdymVlxgcx2NwnAQp5TxAtfQKIe5KIEC+HsAP7AJjIcQ0qLHOEoDtt5uUcq0Q4h922yj9YlqOpUyp5dhrLJL5H+7SpUtx7LHH4pVXhh9PSomNGzfimmuu8fV4J50EnHsuYO211dKiWr+s3X0PHgT+9jdgxozhdXb//AoKgA8+MK/pAvA9X2VKt2uuUc8vw7k2AjdihMpUPW+eymzsldV4xw7gV79S3Z3/93+Tf9xBm3+YZsVeKQs9SAls364WtzGzEyeqADKIcbqHHuq+/aKLYoPjiROB2lq1/vTTg+l9MGaM6hKdy8MLicibW1fwlpYWXHzxxTHrnn32WTz22GOoqanx/RhGS/dHH32En/zkJ3EBt5u33noL06dPx4IFCyCESGm8tt/x1VajR4/GrFmz8Em7O46a2w2IRMY6TxoHzJkzB3/4wx9i1v96zzdxwrlfdz5wXAnQE0yitjBicBwvoBFw+U0IcYzdAuBkAImkQqmUUv7SaZvxizVBF4VDTMvx/l3Ah+kYlh5PCIH6+vq49dbuQV6+/e34dS+9FNvNtK9PBZTTpvXh059ehm9/exmWLVs2NFffzJkzY5YPPpgJwLx8FUDy928WBjgvzSWX5H5gbHXUUc7jpg333JNYZmUnAwP23X8NXoFmIo45xn27+SZNKtxajgGgulq1EM+fr3pVvPWWmpv6zDPT0y2fiKKpvr7eNqnTt7/9bXyUwJgRo6W7pKQkocDY8PLLL+OII47AsmXLsjKmu6mpKaOPa3fj4ddPbVbjmp2WNE9tlU1SMji2w5ZjB0KIQwC0wz34FXBo5XXgNmlMtf7Z7VW0BB6PAhQTHGdgvLFZfX09li9fHrNu8+bN+Mc//oHjfGbkmTNHjY213DTF97+vWgHvuktl6P3wQwDoB3AzjB5QicxVbGfUqFE4kETEtnDhQp9TOS3FzJl12LLFf2bsfHTggEq8FtS5PvjAOanWyJEq2HzvPRUoFxWppaBAtQa//rr/ccHTprlvP+EENY2V2dSpav2MGernMceojOLvvjvcZdz6u9cMGaNHq/HM+XZThYiSk64s2SNHjsQtt9yCz3/+8zHrX3zxRaxfvx5fTmC802uvvYYlNtMXfPzjH8drr73mefw111yDU089NeNTCB177LH4zne+g9bW1ow9Zk1NDZqammLWPfPMM3j22WdxqMMd38Cn1vI5/RTGlaQ9MH9vD/CBZWjV2LFjUZxq17Acx+DY2asAjLlyBvXvvfpvY5qnBinlPQE93myoLtWdTjvoMcu9TtujaOvWrRlLmR/TrTrFTNUx/3AfswnozoudBP6EE07ASSedhL/85S8xu91xxx22mR+NY613ZJcsiQ+On39edRlNl7lz5+LWW2/FmDFjPPd95ZVXYoLh8T6zSn3hC2q6JpeeWZGwYwcwZUpiXZCNIPfQQ4ezOxvBrtf9jH/+E5gwwb5V9cMPVTm2bVPLq6/G/m7OCu0VHJ9zjgpYTzhBLdOnB9tybcbAmIgM6cySXVNTg1NOOQV/+tOfYtbfdNNNqKur8/U/U0qJxsZG7N69O26bn8AYUBmk6+vr8T//8z++/+dama9p/E7fuGbNGowfPz6j03RNnz4dZWVl6O0dvpQ+ePAg5syZ43jM0qVLsWjRIlx77bVYs2aN7Wvtx9SpUzFq1Cjf009h5lLgk8uSeiy/7FqNDz/8cF/X1cK4f/Pl/GuzY3BsQwhxHYBdAOqMjNJCiCeNscb670oALUKIjQ7JtewMCCGOsWab1kGvMd64w+X4yzy2UxoF2XIc8w/XbvZqmzu49fX1ccHxypUrsXLlStvHsBufc9ZZaqxjomNRE5mr2Or222/3fUfamim0rq4OO3d+yzbD8KhRKmNwYyMwbZr6p5lKttB8cNRRalqqzZuB3/1OZXq2Br3WvwsKkk8E5Ragjh49nJnazt69wGuvqUDZa9aIs85SCxFRvhBCoKWlBWeccUbM+t7eXtxzzz1YtGiR5zkeeOABPPHEEymX5cUXX8R1113neD3hJdGbCBdffDHmzp2b1LGpEEKgpqYGd9xxR0LHTZ48Gd3d3b4D45EjgIOWnlNvvPEGFi5ciCd/VI2wdNRml2p7DI7tLQBQZQliY/oYSCm7hRBXAGiF/+zRm6C6YVsv84zs2IMe440vh2lsMgEzZsyIyXCYzlbkIFuOk3HBBReguTm1WcaEUGOPU+wlnTbWTKGAytD88ssqydSjj6qA6rTTgGXL4sffxiXriKjZs9USZuPGAZ/4hFqIiKLo9NNPx9lnn43f/va3MeuXL1+Or371q/GzZJj09fXhP//zP+PWT5w4Ee+9917CZVm1ahXmzZsX19U7aJMmTcIPf/jDtD6Gm2SC45tvvhlPP/103PrT58zG75/ZHLe+/b4fY+HXv4UPP4ztfvXCCy/g9Eu246lrgakh6LmcSnAsf65/uTA2OUlFRQW2bt2aYsmyi8GxPWEzl/CAEOIQcyuxnhO5DD7pbNONQojnAdwCNX64EWpcs4RqGY4vzPD45zUJtFJTwAIdc5zEmJOjjz4ac+bMwTPPPJPSQ59/vgpI/vY3++0lJWq6oHXrUnqYQE2fDlx/vVqIiIjyxS233BIXHL/55pu48847Xadbuvrqq7Fr16649atWrUJlpXs7yssvv4wLL7wQ+/fvj1n/H//xH2hvb8eUKVM8y93e3j70+6JFi3y3/t50000xczEncmwQTjvtNEyYMAHve8xFuGWLGt720ksv4YILLojbXlpaivXtj2CqTden8y+6Go8c9gmcf/752Lt3b8y2l7e9jdN+eBSe+tU6APPijsW56nExLv1jnd8YiN/tiNKi+JURw+DY3k6bdR1Q8xBbsx64JdmKI6WcJYRoB/BLqIDYaOpslFI+ZN5XCHEZVEvxAqiW6yohxGCA45wpAYG2HCc55qS+vt4zODa+0J26FY8cOTz3rzkb8amnAldcAXzpS8Arr4QrOCYiIspHn/70p22TT7a2tqKxsdE2OdKjjz6KX/ziF3HrFy5cGDdFlJ2KigrceuutuPrqq2PW79q1a6i7s5srrrgCd91119DfdXV1vgLcM844A3PnzsWJJ56Y8LFBGTt2LObNm4eHHnrIdb+Kigps374dixcvhrRM3SCEwIMPPujaynr22Wfj8ccfx/z58+O6Y/dsex2n1lxif2BRmhKj2Vx32rYcj3o1PY+fQziVk73JerqmS4UQJ+l1nQAahBAfN3bScxMnfItFSlkHoBwq6K0DUCylvNth926o+ZEbobpV59/I9xwx1HL84XvA3reyUoa6ujqM9JhTpqKiAhUVFa7/bM45B+jsBBoagBtvBF58USXqqq9nQiIiIqJMWr58edz/9sHBQaxYsSJu33feeQdXXBE/mm/SpEkJdRf+xje+gfPOOy/xwiZpzJgxWLNmTcaSqLrxM5f0gQMHcMEFF+Dtt9+O27Z06VJfNxEqKiqwcOFCjLW5sHr99dddj+3r68OyZcuGlr6+Ps/HS5RtcHzYhMAfJ9ew5djeWgBdUIHvIIDJUsr/FUK8CqBbCNEGlTW6Gd5TL9mSUm4DsM1jH6eAmbJgqOX4/ewlDC8tLcXcuXPxpHVemySceaZa/Dj88MPx5ptvuu5jtFjv3LkTp6cz/TUREVEeOe644/D1r38dd98de9l3++2346qrroppobz++uuxffv2uHP8+Mc/TqgFVgiBn/zkJ/jUpz6FHTt2JF94+EvauX//fkyfPj2lxwnKueee67nPDTfcgD/+8Y9x66uqqnDDDTf4epz+/n7ce++9CZfPOPbmm4dbeuvq6lB6CAKdBsouOJ5aOjHBkuYfBsc29NjgcqgxwOZvqssAbIYKig0hTW1EQRsKjoOY4/j4RcDR3lWn711gtSnJ1KJFi3DhhRf6Co77+vqwevXqmGOT7brkFRgDw/8c7e5oExERkbObbroJ999/f8wY1T179uCaa67BjTfeCADYvHkz1qxZE3fsWWedhYsuuijhxywpKcHPfvYzzJs3L67rsB3zTXBzt+pcM2XKFHzmM5/Bc88957iP3fzLRxxxBH7+85979uBzMnnyZOzcaTdy05++P92K/uf/y3mHteo6rOTkb6H0c7fGbrO57txx83xY2+mOmOXQ3TtCGBw7kFI2IzYINjJUz4bKUC0BtEkp/2J3POWXcePGYcQIPQohiEzV40p93dXr3/5S3J3D888/H42Njdi3b5/LkQ53HX0Gx8aUSk888QT+/Oc/+zrGUFhYGPkplYiIiBJx5JFH4sorr8R//Vds8LNhw4a48chmhYWFaGtrS7i7svkG+imnnIJnn33W85gJEybgsccew/3335/QY4VRTU2Na3BsNWLECKxfvz6l8dF+AmO393H1xudxc/y9kThLL38eyz5nWWlz3bnjrfiEbkcck6YxzzmEwXGCpJTdAKqzXQ7KrJhM1VmYxsnskEMOwXnnneeZTCIVpaWl+MQnPhETXPtVWFjIKZWIiIgSdP3112Pt2rV4913/E5Pccsst+PjHP+69o4X1BnpFRUXM1Jh2jjnmmIQfJ6xqampw0003+d7/e9/7Xl4NGduzZw/eeeedmHUjR45kgwYYHCdFCIZ3N0wAACAASURBVPFpAA0A2j3mJaY027p1a0aSO8Rkqg6iW3WS/IzrCeL1eOGFF3DJJfFda0aMGIG2tjaccsopjsfyi5WIiMgf6xCoK664wrZLr52pU6fi7bffHrohncrwqVtvvRULFizwnOIoV9m9zlOnTsUbb7zheezcuXOxd+/eQF7nlEw+GcDvfe7nzm6c+ZQpU4Z7SXoQX9a/fDn7CdaCxuA4CTo51yYAlwshyji1Uv4LU8txuu3atQvnn38+9uzZE7ettbUVl156aRZKRURElH+sLbjPPfcc1q1bZ5sl2Wz06NFoaWnBV7/61aF1qUyL5CdJlVd5zjjjDHR0dMRtM49nfumll3zd6A+a3VCzmpoarF271vW4I488EsuWLcOpp54ac2w2guNFV12HuvqvAbBvLPGaytPMLji2nZrKZn7kfMepnJIkpXxKSmlMxURZMmPGDEgph5Z0GQqOD+4Ddv8zbY+TbQcPHkR9fT22bYtPpL5w4UJce+21WSgVERFRNBQUFPjq7nvDDTdg1qxZGSiRt+bmZuzcuTOQmTQyyWtKp1GjRmHDhg22c01nQ2lp6dB0nXb8TOVp8B0c/3018PhMtZjIn1uWF5ZCSokZM2b4ezIhxpZjEyHEMVLKVxM8rCwdZaFwGepWvftVqFxsJuOPAPakNg1CWNxwww22/9xOPPFErFu3LhTzExIREeUrv62qS5cujUl+mU3nnnsuJk70NwWQkfDT/Hc2+HmdDxw4gDlz5gT2mFu2bIkJbN2uqb7xjW/gzjvvDOyxrXwHxxHE4BiAEOJMAO0AioQQAwAuk1I+7LDvIQBmA6gEsDBzpaRsGmo5thtvPOHYvAiON23ahB/84Adx64uKivDwww/Hdi0nIiIigpqiyK/S0lIm7fQh3VNlMTh2FvngWCfX6gBg3L6ZBGCTEKLWCJCFECcBWAKgCkCR5RTNoLw31HJsN954YjnQ//8yUo5E7jpabdiwAYsXL7Ydx/TKK6/gK1/5Stx6IQTWr1+P8vLy5ApMREREFEGptJIfOHAAJSUlaGhowKhRowJvYbdLRGYbHNvMj2xrXP4kY418cAzVYiwAdALoxXCr8N0AHhZCzAVg9DO1RiJdUkqX2bgpX3i2HOeA5cuX48EHH0RPj/+EYt/73vdw9tlnp7FURERElG1+br4buV2ylVQrLHbu3Ok67ZWxraSkJKVW8v7+fuzduzdu7usg+G45tpkfOd9FOjjWge8kAJVSyr+Y1pcB2CyEuBTA9RgOngcB7NI/n5dS/jLzpaZscG05npC+VtVk7jpeeeWVWLlype22RALjE044Afv27cOyZcuyN20BERERhVoiwWI+XEv84he/cO32bNw4WLp0acpdyG+77TbMnz8/5TmW+/r60N8/nHXaLvHqnj170NfXlxfvUSoiHRwDaARwizkwBgApZa8QogHAWqjsS+VSyvhaRJHh2nI8MX0tx8mMzbnzzjvxxS9+ERdffLHtnUE/iouL8de//hXf/e53AWRv2gIiIqIoyVQLbipdfq3HPvroo66tm0EGi0Exv85urzGQ2ZbyMWPGYP/+/THl+NrXvoYXXngBhxxySNLnXb16dcxUVnbq6+tD9R5lS9SD42kAmuw2SCk3CSE2AmhgYEwFBQXARweB3TZVYWL4xuPOnTsXDz/8MP7t3/4t4WMnTJiAO+64AxdffHEaSkZERERurK18VkZL7M6dO5N+DLub734f19pdOOrBVJCWL1+O5ubYdEavvvoqvvnNb+Kee+7JUqmiJerBcZnH1E29ADZmqCwUYoWFhcAHrwMffRi7YcwkYEw45r+zmjBhQlLHvf/++wyMiYiIMsCuBderlc9oxfzWt74V6LRIfh83F1sXg2wpr6urw+LFi30dl6hrr70WjzzyCJ555pmY9evWrcMXvvAFzJ8/P+FzUmKiHhx76ZVSvpvtQpCzrVu3ZmTu3YKCgoyPN3aSiTvKRERElH6pTG1UWFgYiiB10aJFqKvzzmicrTmNgdRe50xOPzVy5Ejcd999+NSnPoXdu3fHbLv00kuxZcuWpF5H83tk10X8+OOPx0MPPeT73Jm49s4WBsfupNcOQoh/SCmPy0RhKHsKCwszPt7Yid87u1dccUWmikREREQRVVpayrwkASovL8ePfvQjNDQ0xKzv6+vD5Zdfjk2bNiV8Tq/3aNq0aTFj3aOMwXHqwjfgNEJmzJgRkyExXXeyCgsLgfe74zdkoeWYiIiI8le2WmJzoQU4Ki699FL86le/wuOPPx6z/qGHHsIDDzwQ+OPZTuPkwpywzKyiogJbt24NokhZE/XguFgIcT6Adxy2TxJCfA7x8xsbyuGjdTlXCCFqoTJ4A2qKKwBok1KuTfJ8ZQA6AGzSPzdLKQf1+ioAdQDakz1/JhUUFISm5ZiIiIjyV7ZaYtkCHB5CCNxzzz2YOXMmdu3aFbPtyiuvDPzxEg2O81nUg2NABW5uOj22DwZVkGwSQrRDBaxzpZTdel0ZgA4hRJ2UsjrJU5dBZQRv0uc0b9uUC4ExYLQch2PMsd87uzt37oyZhy9T00MQERERUWqOOOIIrFmzBgsWLIhZ/+67wadDYnA8jMGxc6twZAghmgDUAphlBMbA0HzP1QB6hBCtUspmx5MkphdAs5Qy8UETWVIwfjyw0yY4zkLLsd87u+bu5gYm8yIiIiIKt76+PqxevRoAcOKJJ+LFF19M6lhANap4XTcyOB7G4Fi1lnYleezJAJ4IsCzZ0gqVmTtuUK0OkLuhWn6TCY47pZTVuhW6yO4xckHhqL3AgdisgRhVCIybkp0C+RCm6SGIiIiIwiKROZ2z0dW8v78/5nptypQpeOutt5I6tq6ujsFxAiIfHEspf5fC4Z0ix3OZ63HGAOAWtG4GUCmEqE22tVdK2ZvMcWFRIG2+QCeUAyF++/NheggiIiKioGVrTudke/AtX748Lnt1kBgcD4t6cOw1ntiPnOka7MAYS+wWvBr9iRci959vUgrlm/ErmamaiIiIiHxKdjpOP4Gxn/a6gwcP2q5ncDws0sGxlHJeAOdY4L1XqM3WP90GmRpJx8qSfRAhRAOAWfoc3VBZsHOmNbng4Pb4lTmYqZrTNBARERFFk1Or9fjx4zNckvCKdHBMAICiNO1rKBNCdABox/CY5QVQSb4acyVbdcGBf8avzMGWY07TQERERFEX1caCHTt2ZLsIocfgmCZ57zIkmZbjSQCqLa3Ea4UQ5QDahBBIJUDu6emJmZ7IjrF90aJFWLx4ccKPMXr0aIzeuy1+w8TcC46JiIiIoi5bjQXJTscZlGSC41WrVsVkv3bT02Mzs0uOYXBMaaMD4mKHzS1QGbBbASQdHO/btw9bt2513cfY7pYAwU1hYSHw3ivxGybkXrdqIiIiIsqOVKbjTNZtt92G1tZWHHbYYUkFx/39/Z7X2vmEwTHtgv/u0oPeu/gjpRwUQgwCKEolC/bYsWNRXj7cgmv34Z0xYwaA5LvGFBSMB/ZbvkxGjAYKjkrqfEREREREfm3ZsiWmp2Qik+Xce++92LBhA6666irs3bvXdV+7OZJLSkqGrqW99PT0YN++fb7LFkYMjskIeCf72HdXwI9tBOYnI8ks2OXl5TF31+y+LFK9+1Y4brTNymnAiJEpnZeIiIiIKAjjx4/Hnj17bLft3r0bLS0tnuewmyN58eLFvoclVlRU5HwrM4Nj6gVQCffW43LTvr4IIaqgknB1SimdBlcYgXkyib4ypnDciPiVE8qBvX3AXpeu2oM6KB9XAoxjEiwiIiIi8lZSUoKlS5fG/O1l27ZtWLFiBVauXIn9+/ens3h5jcExdQCohXtirjLTvn5VQwW9VS77GEFxVwLnzbiCMR/Fr5x4LPD31cAW57nq8Liaqw4zlwKfXJaWshERERFRfiktLcWyZcsSOmbKlCn44Q9/iM9//vM444wzEjo2kW7a+c6mSYwiZqP+6RbEVuqfiXR9fh6qpdm21VgIUYThoLszgfNmXOGYA/Erc3AaJyIiIiLKb4cddli2i5DTGBxHnJRyEMAKqMRYcQGyEKISKohda5mOCUKIIiFElxCiQwe7Zp1Q3aY3Ozx0g/7ZbD1v2BSMtEksMJGZqomIiIiI8gm7VROklM06CG4XQsyVUnYDgBCiDMBTUOOGG20ObcBwq3IVTC3LOhv1ZQCeEkI0Syk79TmL9HGtUAH3irQ9sYAUjvogfuWEcmDyycDR3nPVYVx+TSBPRERERJSPGBwTAEBKWS2EaABwt2XcQbOU0mke4k0AGgEM2k3FJKXsFkLMBdAqhGiGGtdcBKAbwCwjCA+7gpHWzH8CmDANGDmWibaIiIiIiPIEg2MaooNgp0DYbv9eDGeydtpnECqAzlmF4ywrCo5SgTERERERUYj5mSNZSglATX86c+bMjJUtjBgcU07bunVr2jPsFYyxrOB4YyIiIiKKqHzObs3gmMhDobWRmJmqiYiIiCiEkpkjOYhj8wWDY8ppM2bMwEsvvTT0dzruZBVYg2O2HBMRERFRCCUzR3KixxrdsK0qKiqwdevWpB47LDiVE5EHthwTEREREeU/BsdEHjjmmIiIiIgo/7FbNeWqYgDYtWtX2h8ovuW4LO2PSZm3atUq9Pf3o6SkBIsXL852cSgPsE5RkFifKGisUxQ003V5cTbLkQrh1GecKMyEEHsBjB07diz27t1rXh+3r586/vTTT+PMM8+03fZEMzDvk/qPcVOAL72ZTJEp5IxxMtZx7ETJYp2iILE+UdBYp3JXste7qR7rZdy4cdi3bx8A7JNSWidDzQnsVk3kISYhF8cbExERERHlJQbHRB5iulVzvDERERERUV7imGMiDzEJudhyTEREREQZ1tfXh/7+fsftRtf4kpISlJaWZqpYeYctx5TT9u3bByHE0JIOfluO01mGZIWxTEB4yxU2YXydWKbcFsbXimXKbWF8rVim3BXW1ykM5Vq9ejVmzpyJmTNn2m43tq1evTrtZTFfe5sXPd44pzE4JvLAMcdERERERPmPwTHltLFjx0JKObSkA8ccExEREREp5mtv8zJ2rHX+09zDMcdELkYIYIzxKRl9KDBmUlbLQ0RERETRs2jRItTV1Q39bXSv3rJlS8x+JSUlccdyvLJ/DI6JXBSOBYaGmEw81vQHEREREVFmlJaW2gauFRUVnseuXr0aN998s+N2I9BeunQpli1blnQZ8wG7VRO54HhjIiIiIqJoYMsx5arRALB//37PO2Z+7qjt3r3bdv2u94GKJv3H2N8B47zP5efxMi2MZQLCVa6enp6hn2EqFxCu18nAMnljnUoMy+QuzPUJCNdrZWCZ3IW5ToWtPIYwlstPmdy6VJutXr0a7e3tSZdl//79xq+jkz5Jlol0JTEiSichxIfgzR0iIiIiorA5IKXMyQCZwQXlqp0AigDsB/B6lstCRERERBR1RwEYA2Aw2wVJFluOiYiIiIiIKPKYkIuIiIiIiIgij8ExERERERERRR6DYyIiIiIiIoo8BsdEREREREQUeQyOiYiIiIiIKPIYHBMREREREVHkMTgmIiIiIiKiyGNwTERERERERJHH4JiIiIiIiIgij8ExERERERERRR6DY8opQohaIUSHEKLL9LNVCFGU7bJR+Oi60SOEkHrpSbS+sM6RH7puVfrcl3WK4gghGnRdGND1qUsI0eDzWNYpAjBUF9p1HTDqUZsQoizBc7A+RYwQokjXnfYkjk25zoSl3jE4ppyhP6x3A2iWUs6SUlZLKWcBKAKwTQhRld0SUlgIIcqEEF36zzoAxQBmAegG0ARVXzwvOlnnyA8hRBuAMgCTfOzLOkUxhBBVQogBqO+qy6SUxVLKcl0vynX9cjuedYoAAEKIDgAnY7guGPWoC0CXEKLVxzlYnyJEXy9V6bqxDUAt1HudyDlSrjOhqndSSi5cQr8AaAMgAVQ6bG/X28uyXVYu2V30F+kAgCqH7a26rkgATS7nYZ3j4rkAqDLVJ9s6Z9qXdYqL9T2v1e95m8O2Abc6wTrFxfJeN7hsL+P/PS6W91Pq75gOAA1QN1EkgI4EzpFynQlbvRP6QYlCS98t6gDQKaWsdtinEupD3S3VnSaKKH338Xkp5QqXfXqgLhQAoFxK2WvZzjpHvljqUrWUstNhP9YpimF6v3ullOU229uhAmTApm6xTpFB14V2KWWxx36tUMGxcDgH61OE6Z4HVXCpA5b9U64zYax37FZNuaBZ/3QcAyGl7AbQC6CSXX4irxZQY2dc9jF3U2y02c46R550d1fPbooa6xRZGXXBqQ5tADAIdUFod9OFdYoM1QB2+divAxgKNqxYnyhRQdSZ0NU7BscUajrAMT4Imz12N1r/6tJXIgoz0z/8Vqi7jE66Tb/HfNGyzpEfuq5NArDRx76sUxRDCFEL3eNASrnWbh8p5Sapxh/btbawTpFZGYAyH0kBjZvG1t5SrE+UkCDqTFjrHYNjCjtz4DLosa+xnXczo8ucEKnMpfXYfGFg3Yd1jvy4Gyp5klcdAVinKN4S/bPbdS9nrFNkZvxP69I3Xpw0QvVEsNYZ1idKVBB1JpT1jsExhd3Jpt+9ugwZ/xx8T1dA+UV3PeyE+hJd4RK4mOtIr2Ub6xy50uP22nwGxgDrFJnom3ZGC59Xa4kT1ikyMw8VatfT4MS833qGhtmwb3ljfaJEBVFnQlnvGBxT2CU1txnn4osuqdL/F0spm112M3c9s7bcsM6RI91tsdKpK6wD1ikyM7d89ABDcxwb83r26LlG3brIsk7REJ1U0pw/owpAjzFHrL6h1wxgljUBpcb6RIkKos6Est4xOKawG+omm0ArTcxxRDYWmn5vsWxjnSM3d8M+iZsb1ikyM7d8DOrEbkX6xt4snbn6eagusk5zHLNOUQx9w64asd1Tm6Cm6imTas5ju8AYYH2ixAVRZ0JZ7xgcU77i3UyypTMdGi0yzQl+IbthnctzQogmqO7UTheYQWOdyk+TTb9XA+ixTj2n/14LoMElQE4G61Qe00OL5tpsqg24HhlYnyhRQdQZthxTpPGLl4JmXCBscpgLmXWO4ujxe9UJdqc2sE6Rmbk+1LrMyW58VzXYTF/COkVxdPfpp6BuutQhthW5QXfZtxuzyfpEiQp9kJssBscUdkNf7AmOMQiqNZDyiL5wKIMKjJ2mA2CdIzvtSLw7tYF1iszM7+smp5303J4Gaw4F1imKIYToAFALYJqUslNKuQnANKgeCIYyqO761jrD+kSJCqLOhLLeMTimsPMzqX2Qx1Ge0tNbNME9MAZY58hCd6fekEJ3atYpMttp+t2rTjlNX8I6RUN0l+nZUAm3hgIHKeWglLIRwCwM17UiAK2WU7A+UaKCqDOhrHcMjinszHeHvAbgD911CnAcKeUB3SWxHWp6J68J5FnnaIjugrjQpeurH6xTZGZ+X3c67qUMXQRaWlZYpwjA0HdUA4AWp/dXStmtE7116lULLLuwPlGigqgzoax3DI4p7J43/e7V5cL4YPHLmobo6VA6ADR6TO9kYJ0jszYAlzlt9NkVjHWKzJKd29iMdYoMRq8Cxy76Bimlkc26yPLdxfpEiQqizoSy3jE4prDrNP3uNfG3sb3TdS+KDH1H/SkAdU6JlGwyeLLOEYChwLcKaoyetFugpkkxdJi2mesV6xQNsYwlLvfY3WmqE9YpMszSP/12Nd1os471iRIVRJ0JZb1jcEyhpi8GjAsJvx+cDekrEeUKHdh0QAXGtnfUdfAcU69Y58igx+sJtwXDF6aAymZtbGs0nwesUxTLuFk322M/ozUl5juMdYpMevRPr7pkNmgdmwzWJ0pAEHUmrPWOwTHlghb9c6HTDrrrbBGAXqdAiKJDB8ZPQXWldrvLWIvhL2Yz1jkKGusUmRkJkSqddtD1wdBiswvrFAHDN078ZtNfgPjs5wDrEyUuiDoTunrH4JhCT38QNgGotFwsmBkXGl7JliganoLqYlYthGi1WdqEEO0AliB2zAsA1jlKiFcSEQCsUxRLZz5fAQxNMWfHWL/C0hXbOAfrFBl1qRlArRCiwW1f/X+v026YEesTmWTs/1oo652UkguXnFigusgOAKiyrG8DIAHUZruMXLK/6HoiE1gqPc7FOsfFqX6UmeqC1L871id9DOsUF7v3vRVAkV5XBpVdXwJo8HEO1ikugMpYPaDrQ6VpfRFUL6keAG0+zsP6FLFF15Eq/b4b/8+qjO+kTNSZMNU7oR+YKCfouWoboe5q7dI/O6G+8JOdg5TyhJ6yqSORY6QaN+p2TtY5iqHnPTa39hlj98zZNldIh+zorFNkpr+3mqHGjBZB1aeNAFr91gfWKTLo76dqDI9B7oXKkN4mbXogOJyD9SkChBA9iB3ra076FzN1nJSy2ONcKdeZsNQ7BsdEREREREQUeRxzTERERERERJHH4JiIiIiIiIgij8ExERERERERRR6DYyIiIiIiIoo8BsdEREREREQUeQyOiYiIiIiIKPIYHBMREREREVHkMTgmIiIiIiKiyGNwTERERERERJHH4JiIiIiIiIgij8ExERERERERRR6DYyIiIiIiIoo8BsdEREREREQUeQyOiYiIiIiIKPIYHBMREREREVHkMTgmIiIiIiKiyGNwTERERERERJHH4JiIiIiIiIgij8ExEVEICCGqhBBtQoguIcSAEEIKIXqEEB1CiFqb/buyUU4iM11fpc2SdP0UQjQ4nFMKIcoCLn+b/owZn7ueIM+fKfnyPMJMCFHkUi+rUjiv02eoKcjyE5E/DI6JiLJICFGrL2Q7AMwG0AZgLoBiALMAtAJYqC+givQxbQAqs1Tk0DEFBA3ZLkvUSClnSSkFgHIAnQAG9abKFAKGOtPvg1Cfg2IppZBS9iZfWltdALoBlAEoCvjcmaybvp9HusuUr59HKeWgruvFAKoxXNeBJL+PdQBsfr/qMFzXVyRdWCJKGoNjIqIsEUK0A2gHMAlAtQ401kopu/WF2KCUslNKWQegGUCXEKIVQF5ddKZCX4BXQl1gtma5OJGlg9Y2ABsxHDQ0JnoeHVB3mFZtNj4PqZcynv68NUN9vgKVybrp93mku0xR+Dya6mInAONmTXmi59G9ICabVnVKKTelq64TkT8MjomIskB3O62FuriaJqXsdNtfb68DkPdd7YQQZUKIDu89AQCbTb+7tiomeN68k6HnPwgVIANArdHbIQGNANYGWyRfdvnZKV11M0BezyPdZYrK57Ea6iaO8RyT6e7fCnVDyTg2V18LorzC4JiIKMN0i7HRDa/ab0uBlLIbQBS62vm+0NSvSTVUUDU3qPPmqUw9/zbT7wsSPTjkLWfpqpsZke4yRejzWAV1IyCp4FjnkdiA2O7YrjdIiSgzRmW7AEREUaK7HRoJtlYkOoZSStmszxH4+MgQSWj8nlere7LnzUMZef5Sym4hRLd+PN8twbpet3numF3pqpsZk+4yReTzWKbruZF4zndwrHtTVEspG3X+CABDNxaIKMvYckxElFnmcXgtSZ5jo/cuOW1hjp03V2Ty+RsX/ZUJZJiuC2MwaRH1OhSknHwt9bh4o/t4r2m933reiuGx4UbSurDXe6LIYHBMRJQhlhbfVJIMtQdUpNDRF56Btyil67y5IgvP33wDxzMxlw4sQt1yFvU6FKQcfy2N8cZA7Lhqz+BYP+8eKeWgbkHmeGOikGFwTESUOeYpapJuKciB1rWk2GQqDvV5c0U2nr++8bNJ/+knu3ojQtylOup1KEh58FpWQn9/W4bF+Gk5bjRN0TTbtD7UN4aIooTBMRFR5pjnfd2Zyon0fJuOhBANer7RHtPPNiGEY2uNEKJdCNGh9x0wZ5IVQrTqbR36fO1u59LHNOn92vTPdn2eKsu8zVWmuZ4NVUIIaVmaLOdvNZVnQJ/DvD3Z87Zbzjvg8NyMfXr0eRwvjnVm3la9v3mxzT4exHuR7PMPkBHsFukERG4qExl/n473yOFx0lI3Lc/BeI/bTY/Zbj5Wf4ZSSmDlp0w2xzToY4xyuNW3wD+PQs0DL4332LQ4vebSso/nc0zCbMv4YKMHkOt0TkJNw2ceSlNt/JKvNzyJchGDYyKi7EjL1C5CiEodKNRBjeEs1/Mnl0NdlD4lTElgLDr0Mgm6+7cQokgHZh1SymopZTVUFtpKqHmX44IefUwPAEgp66SUjfpnHVTA1AZTl0o9l3O5DviN5E2dUkphWayZup/X5S2DTYKyFM7bAdWSY3terRvDF/muQYtQ3el79H5z9fsxC8BlAJbooMP6OCm/Fyk8/0DoC37POY91uRMdKhDoe+QkXXXTtE8vht/jIh1ANQJo1vWkWP+9AECPrkvJ8lMmAEM3c3qgPqvtUspi47sEKsBrtbmpEvjnUUq5CUAx1PdZkV56AZTbvOYtUNn8jceuAzDL7XkmSt8U2GxZbfztenMMiEu6ZdwsZasxUZhIKblw4cKFS5oXqAsnaVqq0vAYVfrcHS77VPrYp8HYRy9FNvvU6n16bLa1Aejy8VrYnbfVq3wu5Y0rS4rnbdLHDPh4PSVUBlunstm+Hl7vWarvRSrPP4n6Vwug1eFxbd9vvU+7zTrpp7xBvEfpfA0TrJsSQJPDPkUABvQ+bR7vgdfjuZZJfz6Nx6p0eD2N7Xb1MV2fx1av85rqju37HEAdb7K+R1Dfd17P162OtwZZRi5cuKS2sOWYiCgDZHyX0UCnYtItj0brW7PTflK1XGyC6s7Y6rDbLv2zCuri1S5xmNv8nlVweX76tQiy5XyX9y5J8ZMwzXEf3VpktNJfZrePVK2rvVDvh1039VTfi2wz91KIa/XU9TaV9y+l9ygD/Dw3Y4hFr3Roxdfvu/G5bhBq3G66ytQO9fndJO2nF2rE8Ofbrhzp+jwaXZLLnJ6/7oWw1ub7NijViM8XYXTdtv38CZspyizl4KjuhwAAB95JREFUz+Xx10R5h8ExEVF2BB3ILIG6YB10uKA126B/Ntl057Xa5LB+KOCwOUcv1AVsu8s4yWaHQC9MUr3IN4IZr/fEuNj2mtommfciq3SQYjx3u67Vqc5tnK5ALBtcPw9SyrWmfZxubKVExGaRdppqrg3qM96NDE5BJGOTvDndAGxEml4bzTreGIidzinm86f/niXjxxRzvDFRSDE4JiLKHPNF0ORUTmQz9tAYb2odD2fH3Kri2gLlswVmkuVv4+K0Fmqc5IAOlBtMY++cAr18skD/9HoNXVueDEm+F2FgBL9lNq3j1T5u5tAw4/NdmaYbIUMZ9Z3eFylltxzOZZDpG1xGwF5lvfFm+m5JWz4H2H+/umWsNs9pbMbxxkQhxeCYiChzzEmHUukWCcRfcCXSEm2+oD3Z536+6ZaQagxfNBZBBcptUMFyR6qZd3OEEbyUieHs0nELhrtqPu9yrrC3sjvSLZ6GodZjHWywS2lizMFUOj5DxvRCoaxvOmA3XgPrd2Az0ttq7DQFlW1wrFvhuxxuIBg3idhqTBQyo7JdACKiqJBSrtXjfIugW36SaXkJuMUoLd1wdYBcrgOgKqgg3BiLXAWVXXlWGscGhslmqTJLR9laqC7UDRgOkBvhMj6esiJU3fIdGBnvh+qS/k6cLaV0zIoegGrY1Fcp5aAQYhDqtTPfsGiUKkN/DI43Jgo3thwTEWWW+eJqSZLnWID48adGkO2nW635ArgryTI4Mk8ppLtgrpBqKqdiqKlVenUZEmrlSdOcpWk7LxJ7T7Imjc/fbGhcsal+TMqBcee+ZOg1BExToCE908GZe3tkhddraR57bRpekurYdT/sxhsbjNftZF0up+7UAMcbE4Uag2MiogzSF3bGBVFTkt2LmxGfLGej/unnfLNNv6fj4uxup+dljFfUf6batTwM3F5v4z2xy0IdJ5+7muugwgggluigZoPLIUHKp9fV+Ox2p+nGwlBLpp/6mMUEcEZXfSMAbbR03w+U7gHjdjNiKGO8Ma7epVcMxxsThRiDYyKiDNNdbI0Lo45ELjCFEO1Q82JaL4yNVtgihymBzIyufumc8sSre6MxhZGVMa1N0AFNMuc1XmO398etu/RQy5G5Nd2O7mqZzi7G6XpdrdxeK6NlrxIqmAkiKVuq71Ei0v0aun4P6BsKxj62U4OlSk8lZbymrp9hXafvTvKhUn0tzdM6tcM5k3tQquB+I9E8ndoSKaXbZ5njjYlCjMExEVEWSClnQV3QlQHY5jVvqRCiTCdv6rVrIdFBrhH0Ol6w6sep0ufxCmBTaRXyahWfDfuWQ+OmgV0m2lQC+YTPa+7yaHcDQ68z34iI2UffwBh6T5xeD30et26YcedOQrpeV7OTree3MNdbP1nVPaX6HiUo3a9hmdNNFFMdAdQ0aOlsdTTqbJPHjTavOusmpdfSMq1TLZynnQpKI9wT5hldwYvg0r3b8j3vdj4iyhYpJRcuXLhwydICPd0RAAnVpbEB6mLeSO5iZHkeAFDr43xV+nxdACot25pMj1PkcHwZVFZtqZcq6766bE2mfRrM++iyDjiUoUifv8vlOXTo87aa1rUDqHIob5upLJUuz833eU3bW/UxbTaP26F/Go/dpV+XKsu+lfo9GbDZVmv3OgX1XqT6/H3W4TJLGdqc3gdTGeKer+n51JrONeC0b1DvUbrqkN/zml67Ln2uBpv6M2C8vx7vg+vjJVAmo85KAE0227pSec5B1Ed9bgmgPZX663L+oeSBpvenLNmymOqj8dp4fp9z4cIl80vWC8CFCxcuXIaC2jYMB1FGYNDhdkHscr4mfTE3oM/Z43XhabpoMx57wPR3q96nw2WfDtM+ZRhuRenS64zF8/no8hvl7rK7kLQ8trUsThexnue1OaZWl9s4pks/ryLT62bcDOiwBhMu70kXVGBnF5wE8l4E8fw9XpsulzJIh3oeVzbEBsTmcw1Y1ju9r0m9Rx51yO19DKxuwhQcm56LUU7XeuLz8fw8V6fXtcGmzrbZlSXJ86dUH/VxrjdPkqzXTS7PRVqfP9R3XY/D6+KnXju+t1y4cMnsIqSUICIiIqLME0I0QQW/3VINtyAfdFfzp/iaEVGQOOaYiIiIiHLNEqR/rDERRQyDYyIiIiIKJSFEmxDCLslVrQwm4zkR0ZBR2S4AEREREZGVzt7doH9vlzo7uZ7WyjErNBFRshgcExEREWXPZP0z1em68lGv6ad5+q86qeaLJyIKFLtVExEREWWBTiplzH1b5jGvcORINZ9zJ9Q0XYOAakFG8vMrExG5YrZqIiIiogzSQfGA/nPQtMloPW6UUq7NbKnCSb9Wd0O9NoMAWnTQTEQUOAbHREREREREFHnsVk1ERERERESRx+CYiIiIiIiIIo/BMREREREREUUeg2MiIiIiIiKKPAbHREREREREFHkMjomIiIiIiCjyGBwTERERERFR5DE4JiIiIiIioshjcExERERERESRx+CYiIiIiIiIIo/BMREREREREUUeg2MiIiIiIiKKPAbHREREREREFHkMjomIiIiIiCjyGBwTERERERFR5DE4JiIiIiIioshjcExERERERESRx+CYiIiIiIiIIo/BMREREREREUUeg2MiIiIiIiKKPAbHREREREREFHkMjomIiIiIiCjyGBwTERERERFR5P1/Ad7BuBsUJLYAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 428, "width": 483 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# get axes in MOD plot format\n", "fig, axes = modplot.axes(ratio_plot=True, xlabel=xlabel, ylabel=ylabel, ylim_ratio=(0.25, 1.75),\n", " xlim=(min(bins), max(bins)), ylim=(0, 1.5*np.max(cms_hist)))\n", "\n", "# tiny regulator\n", "reg = 10**-30\n", "\n", "# plot of the cms observable distribution\n", "cms_style = {'lw':1.5, 'capsize':1.5, 'capthick':1, 'markersize':1.5, 'color':'black', \n", " 'label':'CMS 2011 Open Data'}\n", "axes[0].errorbar(midbins, cms_hist, xerr=step/2, yerr=cms_errs, **modplot.cms_style(), zorder=3)\n", "axes[1].errorbar(midbins, cms_hist/(sim_hist + reg), xerr=step/2, yerr=cms_errs/(sim_hist+reg), \n", " **cms_style, zorder=2)\n", "\n", "# plot of the sim observable distribution\n", "sim_style = {'lw':1.5, 'capsize':1.5, 'capthick':1, 'markersize':1.5, 'color':'orange', \n", " 'label':'CMS 2011 Simulation'}\n", "axes[0].errorbar(midbins, sim_hist, xerr=step/2, yerr=sim_errs, **modplot.sim_style(), zorder=2)\n", "axes[1].errorbar(midbins, sim_hist/(sim_hist+reg), xerr=step/2, yerr=sim_errs/(sim_hist+reg), \n", " **sim_style, zorder=1)\n", "\n", "# plot of the gen observable distribution\n", "gen_style = {'lw': 1.5, 'ls': '--', 'color': 'blue', 'label': '\\\\textsc{Pythia 6} Generation'}\n", "axes[0].plot(midbins, gen_hist, **modplot.gen_style(), zorder=0)\n", "axes[1].plot(midbins, gen_hist/(sim_hist + reg), **gen_style, zorder=0)\n", "\n", "# additional plot modifications\n", "stamp_x, stamp_y = 0.56, 0.64\n", "modplot.stamp(stamp_x, stamp_y, ax=axes[0], \n", " line_0=legend_label_0, line_1=legend_label_1, line_2=filt_legend_label)\n", "modplot.legend(ax=axes[0], order=[1,2,0])\n", "\n", "# save plot (by default in the same directory as this notebook).\n", "# If running on binder, the plot can be accessed by first going to the jupyter file browser\n", "# (which itself can be accessed by copying the URL of this notebook and removing the name of the notebook\n", "# after the final \"/\"), selecting the square next to the name of the plot, and clicking \"Download\".\n", "# The MOD logo can be optionally added by changing add_watermark to True in the following command.\n", "modplot.save(fig, 'figname', add_watermark=False, tx=51.5, ty=251.5, plots_dir='.')\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The End\n", "\n", "We hope you've enjoyed this quick introduction to using the MOD-processed CMS Open Data jet substructure datasets!" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.5" } }, "nbformat": 4, "nbformat_minor": 2 }