{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Optogenetic stimulation\n", "\n", "How to inject an optogenetic intervention (opsin and light source) into a simulation." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", "import brian2.only as b2\n", "from brian2 import np, mwatt, mV, mm, mm2, nmeter, cm, ufarad, Mohm, ms, Hz, msiemens\n", "import matplotlib.pyplot as plt\n", "\n", "import cleo\n", "\n", "cleo.utilities.style_plots_for_docs()\n", "\n", "# numpy faster than cython for lightweight example\n", "b2.prefs.codegen.target = \"numpy\"\n", "# long dt for faster sim\n", "b2.defaultclock.dt = 0.5 * ms\n", "# for reproducibility\n", "b2.seed(18300406)\n", "cleo.utilities.set_seed(18360406)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create a Markov opsin-compatible network\n", "Cleo enables two basic approaches to modeling opsin currents.\n", "One is a fairly accurate Markov state model and the other is a simple proportional current model.\n", "We will look at the Markov model here.\n", "\n", "The established Markov opsin models (as presented in [Evans et al., 2016](https://www.frontiersin.org/articles/10.3389/fninf.2016.00008/full)), are conductance-based and so depend on somewhat realistic membrane voltages.\n", "Hence, we'll use the [exponential integrate-and-fire (EIF) model](https://neuronaldynamics.epfl.ch/online/Ch5.S2.html).\n", "Note that we follow the conventions used in neuron modeling, where current is positive, rather than the conventions in opsin modeling, where the photocurrent is negative.\n", "\n", "We'll use a small neuron group, biased by Poisson input spikes." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "\\begin{align*}\\frac{\\mathrm{d}v}{\\mathrm{d}t} &= \\frac{\\Delta_{T} e^{\\frac{- \\theta + v}{\\Delta_{T}}} + E_{L} + I Rm - v}{\\tau_{m}} && \\text{(unit of $v$: $\\mathrm{V}$)}\\\\\n", "I &&& \\text{(unit: $\\mathrm{A}$)}\\end{align*}" ], "text/plain": [ "dv/dt = (Delta_T*exp((-theta + v)/Delta_T) + E_L + I*Rm - v)/tau_m : volt\n", "I : amp\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n = 10\n", "ng = b2.NeuronGroup(\n", " n,\n", " \"\"\"\n", " dv/dt = (-(v - E_L) + Delta_T*exp((v-theta)/Delta_T) + Rm*I) / tau_m : volt\n", " I : amp\n", " \"\"\",\n", " threshold=\"v>30*mV\",\n", " reset=\"v=-55*mV\",\n", " namespace={\n", " \"tau_m\": 20 * ms,\n", " \"Rm\": 500 * Mohm,\n", " \"theta\": -50 * mV,\n", " \"Delta_T\": 2 * mV,\n", " \"E_L\": -70 * mV,\n", " },\n", ")\n", "ng.v = -70 * mV\n", "\n", "input_group = b2.PoissonInput(ng, \"v\", 1, 100 * Hz, 10 * mV)\n", "\n", "mon = b2.SpikeMonitor(ng)\n", "\n", "net = b2.Network(ng, input_group, mon)\n", "ng.equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Assign coordinates and configure optogenetic model\n", "The {class}`~cleo.opto.Opsin` class implements the chosen opsin kinetics model with specified parameters. A standard four-state Markov model as well as channelrhodopsin-2 (ChR2) parameters are included with cleo and are accessible in the {py:mod}`cleo.opto` module. For extending to other models (such as three-state or six-state), see the [source code](https://github.com/kjohnsen/cleo/blob/master/cleo/opto.py)—the state equations, opsin-specific parameters, and light wavelength-specific parameters (if not using 473 nm blue) would be needed.\n", "\n", "For reference, cleo draws heavily on [Foutz et al., 2012](https://journals.physiology.org/doi/full/10.1152/jn.00501.2011) for the light propagation model and on [Evans et al., 2016](https://www.frontiersin.org/articles/10.3389/fninf.2016.00008/full) for the opsin kinetics model." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " )" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from cleo.coords import assign_coords_rand_rect_prism\n", "\n", "assign_coords_rand_rect_prism(ng, xlim=(-0.1, 0.1), ylim=(-0.1, 0.1), zlim=(0.4, 0.6))\n", "\n", "opsin = cleo.opto.chr2_4s()\n", "fiber = cleo.light.Light(\n", " coords=(0, 0, 0.2) * mm,\n", " light_model=cleo.light.fiber473nm(),\n", " name=\"fiber\",\n", " wavelength=473 * nmeter,\n", ")\n", "\n", "cleo.viz.plot(\n", " ng,\n", " colors=[\"xkcd:fuchsia\"],\n", " xlim=(-0.2, 0.2),\n", " ylim=(-0.2, 0.2),\n", " zlim=(0, 0.8),\n", " devices=[fiber],\n", " axis_scale_unit=mm,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Open-loop optogenetic stimulation\n", "We need to inject our optogenetic intervention into the simulator. `cleo` handles all the object creation and equations needed to interact with the existing Brian model without the need to alter it, with the possible exception of adding a variable to represent the opsin current. This needs to be specified upon injection with `Iopto_var_name=...` if not the default `Iopto`. The membrane potential variable name also needs to be specified (with `v_var_name=...`) if not the default `v`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CLSimulator(io_processor=None, devices={Light(name='fiber', save_history=True, value=array([0.]), light_model=OpticFiber(R0=100. * umetre, NAfib=0.37, K=125. * metre ** -1, S=7370. * metre ** -1, ntis=1.36), wavelength=0.473 * umetre, direction=array([0., 0., 1.]), max_value=None, max_value_viz=None), FourStateOpsin(name='ChR2', save_history=True, on_pre='', spectrum=[(400, 0.34), (422, 0.65), (460, 0.96), (470, 1), (473, 1), (500, 0.57), (520, 0.22), (540, 0.06), (560, 0.01), (800, 1.257478763901864e-06), (844, 2.404003519224151e-06), (920, 3.5505282745464387e-06), (940, 3.6984669526525404e-06), (946, 3.6984669526525404e-06), (1000, 2.1081261630119477e-06), (1040, 8.136627295835588e-07), (1080, 2.2190801715915242e-07), (1120, 3.69846695265254e-08)], extrapolate=False, required_vars=[('Iopto', amp), ('v', volt)], g0=114. * nsiemens, gamma=0.00742, phim=2.33e+23 * (second ** -1) / (meter ** 2), k1=4.15 * khertz, k2=0.868 * khertz, p=0.833, Gf0=37.3 * hertz, kf=58.1 * hertz, Gb0=16.1 * hertz, kb=63. * hertz, q=1.94, Gd1=105. * hertz, Gd2=13.8 * hertz, Gr0=0.33 * hertz, E=0. * volt, v0=43. * mvolt, v1=17.1 * mvolt, model='\\n dC1/dt = Gd1*O1 + Gr0*C2 - Ga1*C1 : 1 (clock-driven)\\n dO1/dt = Ga1*C1 + Gb*O2 - (Gd1+Gf)*O1 : 1 (clock-driven)\\n dO2/dt = Ga2*C2 + Gf*O1 - (Gd2+Gb)*O2 : 1 (clock-driven)\\n C2 = 1 - C1 - O1 - O2 : 1\\n\\n Theta = int(phi_pre > 0*phi_pre) : 1\\n Hp = Theta * phi_pre**p/(phi_pre**p + phim**p) : 1\\n Ga1 = k1*Hp : hertz\\n Ga2 = k2*Hp : hertz\\n Hq = Theta * phi_pre**q/(phi_pre**q + phim**q) : 1\\n Gf = kf*Hq + Gf0 : hertz\\n Gb = kb*Hq + Gb0 : hertz\\n\\n fphi = O1 + gamma*O2 : 1\\n fv_timesVminusE = v1 * (1 - exp(-(V_VAR_NAME_post - E) / v0)) : volt\\n\\n IOPTO_VAR_NAME_post = -g0 * fphi * fv_timesVminusE * rho_rel : ampere (summed)\\n rho_rel : 1')})" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sim = cleo.CLSimulator(net)\n", "sim.inject(opsin, ng, Iopto_var_name=\"I\")\n", "sim.inject(fiber, ng)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IO processor setup\n", "\n", "Here we design an IO processor that ignores measurements and simply sets the light intensity according to the `stimulus(t)` function:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CLSimulator(io_processor=OpenLoopOpto(sample_period=1. * msecond, sampling='fixed', processing='parallel'), devices={Light(name='fiber', save_history=True, value=array([0.]), light_model=OpticFiber(R0=100. * umetre, NAfib=0.37, K=125. * metre ** -1, S=7370. * metre ** -1, ntis=1.36), wavelength=0.473 * umetre, direction=array([0., 0., 1.]), max_value=None, max_value_viz=None), FourStateOpsin(name='ChR2', save_history=True, on_pre='', spectrum=[(400, 0.34), (422, 0.65), (460, 0.96), (470, 1), (473, 1), (500, 0.57), (520, 0.22), (540, 0.06), (560, 0.01), (800, 1.257478763901864e-06), (844, 2.404003519224151e-06), (920, 3.5505282745464387e-06), (940, 3.6984669526525404e-06), (946, 3.6984669526525404e-06), (1000, 2.1081261630119477e-06), (1040, 8.136627295835588e-07), (1080, 2.2190801715915242e-07), (1120, 3.69846695265254e-08)], extrapolate=False, required_vars=[('Iopto', amp), ('v', volt)], g0=114. * nsiemens, gamma=0.00742, phim=2.33e+23 * (second ** -1) / (meter ** 2), k1=4.15 * khertz, k2=0.868 * khertz, p=0.833, Gf0=37.3 * hertz, kf=58.1 * hertz, Gb0=16.1 * hertz, kb=63. * hertz, q=1.94, Gd1=105. * hertz, Gd2=13.8 * hertz, Gr0=0.33 * hertz, E=0. * volt, v0=43. * mvolt, v1=17.1 * mvolt, model='\\n dC1/dt = Gd1*O1 + Gr0*C2 - Ga1*C1 : 1 (clock-driven)\\n dO1/dt = Ga1*C1 + Gb*O2 - (Gd1+Gf)*O1 : 1 (clock-driven)\\n dO2/dt = Ga2*C2 + Gf*O1 - (Gd2+Gb)*O2 : 1 (clock-driven)\\n C2 = 1 - C1 - O1 - O2 : 1\\n\\n Theta = int(phi_pre > 0*phi_pre) : 1\\n Hp = Theta * phi_pre**p/(phi_pre**p + phim**p) : 1\\n Ga1 = k1*Hp : hertz\\n Ga2 = k2*Hp : hertz\\n Hq = Theta * phi_pre**q/(phi_pre**q + phim**q) : 1\\n Gf = kf*Hq + Gf0 : hertz\\n Gb = kb*Hq + Gb0 : hertz\\n\\n fphi = O1 + gamma*O2 : 1\\n fv_timesVminusE = v1 * (1 - exp(-(V_VAR_NAME_post - E) / v0)) : volt\\n\\n IOPTO_VAR_NAME_post = -g0 * fphi * fv_timesVminusE * rho_rel : ampere (summed)\\n rho_rel : 1')})" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def stimulus(t):\n", " f = 30 * Hz\n", " unrectified = 2 * np.sin(2 * np.pi * f * t)\n", " rectified = unrectified * (unrectified > 0)\n", " return rectified\n", "\n", "\n", "class OpenLoopOpto(cleo.ioproc.LatencyIOProcessor):\n", " def __init__(self):\n", " super().__init__(sample_period=1 * b2.ms)\n", "\n", " # since this is open-loop, we don't use state_dict\n", " def process(self, state_dict, t):\n", " opto_intensity = stimulus(t)\n", " # return output dict and time\n", " return ({\"fiber\": opto_intensity * mwatt / mm2}, t)\n", "\n", "\n", "sim.set_io_processor(OpenLoopOpto())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Run simulation and plot results" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_ChR2_neurongroup', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO No numerical integration method specified for group 'neurongroup', using method 'euler' (took 0.01s, trying other methods took 0.05s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'syn_ChR2_neurongroup', using method 'euler' (took 0.01s, trying other methods took 0.05s). [brian2.stateupdaters.base.method_choice]\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "T = 100 * ms\n", "sim.run(T)\n", "\n", "fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)\n", "ax1.plot(mon.t / ms, mon.i, \"|\")\n", "ax1.set(ylabel=\"neuron index\", title=\"spiking\")\n", "ax2.plot(fiber.t / ms, fiber.irradiance_)\n", "ax2.set(\n", " ylabel=r\"$Irr_0$ (mm/mW$^2$)\", title=\"optogenetic stimulus\", xlabel=\"time [ms]\"\n", ");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you're curious, here are the equations for the 4-state Markov model:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/latex": [ "\\begin{align*}C2 &= - C_{1} - O_{1} - O_{2} + 1 && \\text{(unit of $C_{2}$: $\\mathrm{rad}$)}\\\\\n", "Theta &= \\operatorname{int}_{}{\\left(\\phi_{pre} > 0 \\right)} && \\text{(unit of $\\Theta$: $\\mathrm{rad}$)}\\\\\n", "fphi &= O_{1} + O_{2} \\gamma && \\text{(unit of $fphi$: $\\mathrm{rad}$)}\\\\\n", "fv_timesVminusE &= v_{1} \\cdot \\left(1 - e^{\\frac{E - v_{post}}{v_{0}}}\\right) && \\text{(unit of $fv_{timesVminusE}$: $\\mathrm{V}$)}\\\\\n", "Hp &= \\frac{\\Theta \\phi_{pre}^{p}}{\\phi_{pre}^{p} + phim^{p}} && \\text{(unit of $Hp$: $\\mathrm{rad}$)}\\\\\n", "Hq &= \\frac{\\Theta \\phi_{pre}^{q}}{\\phi_{pre}^{q} + phim^{q}} && \\text{(unit of $Hq$: $\\mathrm{rad}$)}\\\\\n", "Ga1 &= Hp k_{1} && \\text{(unit of $Ga_{1}$: $\\mathrm{Hz}$)}\\\\\n", "Ga2 &= Hp k_{2} && \\text{(unit of $Ga_{2}$: $\\mathrm{Hz}$)}\\\\\n", "Gf &= Gf_{0} + Hq kf && \\text{(unit of $Gf$: $\\mathrm{Hz}$)}\\\\\n", "Gb &= Gb_{0} + Hq kb && \\text{(unit of $Gb$: $\\mathrm{Hz}$)}\\\\\n", "\\frac{\\mathrm{d}C_{1}}{\\mathrm{d}t} &= - C_{1} Ga_{1} + C_{2} Gr_{0} + Gd_{1} O_{1} && \\text{(unit of $C_{1}$: $\\mathrm{rad}$, flags: clock-driven)}\\\\\n", "\\frac{\\mathrm{d}O_{1}}{\\mathrm{d}t} &= C_{1} Ga_{1} + Gb O_{2} - O_{1} \\left(Gd_{1} + Gf\\right) && \\text{(unit of $O_{1}$: $\\mathrm{rad}$, flags: clock-driven)}\\\\\n", "\\frac{\\mathrm{d}O_{2}}{\\mathrm{d}t} &= C_{2} Ga_{2} + Gf O_{1} - O_{2} \\left(Gb + Gd_{2}\\right) && \\text{(unit of $O_{2}$: $\\mathrm{rad}$, flags: clock-driven)}\\\\\n", "\\rho_{rel} &&& \\text{(unit: $\\mathrm{rad}$)}\\end{align*}" ], "text/plain": [ "C2 = -C1 - O1 - O2 + 1 : radian\n", "Theta = int_(phi_pre > 0) : radian\n", "fphi = O1 + O2*gamma : radian\n", "fv_timesVminusE = v1*(1 - exp((E - v_post)/v0)) : volt\n", "Hp = Theta*phi_pre**p/(phi_pre**p + phim**p) : radian\n", "Hq = Theta*phi_pre**q/(phi_pre**q + phim**q) : radian\n", "Ga1 = Hp*k1 : hertz\n", "Ga2 = Hp*k2 : hertz\n", "Gf = Gf0 + Hq*kf : hertz\n", "Gb = Gb0 + Hq*kb : hertz\n", "dC1/dt = -C1*Ga1 + C2*Gr0 + Gd1*O1 : radian (clock-driven)\n", "dO1/dt = C1*Ga1 + Gb*O2 - O1*(Gd1 + Gf) : radian (clock-driven)\n", "dO2/dt = C2*Ga2 + Gf*O1 - O2*(Gb + Gd2) : radian (clock-driven)\n", "rho_rel : radian\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "opsin.synapses[ng.name].equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "We can see clearly that firing rate correlates with light intensity as expected.\n", "\n", "As a recap, in this tutorial we've seen how to:\n", "* configure and inject an opsin,\n", "* configure and inject a light source,\n", "* and control stimulation in an open-loop fashion." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Appendix: alternative opsin and neuron models\n", "\n", "Because it would be a pain and an obstacle to reproducibility to have to replace all pre-existing simple neuron models with more sophisticated ones with proper voltage ranges and units, we provide an approximation that is much more flexible, requiring only a current term, of any unit, in the target neurons. \n", "\n", "The Markov models of opsin dynamics we've used so far produce a rise, peak, and fall to a steady-state plateau current when subjected to sustained light. Since they are conductance-based, the current also varies with membrane voltage, including during spikes.\n", "The `ProportionalCurrentModel`, on the other hand, simply delivers current proportional to light intensity. \n", "This should be adequate for a wide range of use cases where the exact opsin current dynamics on short timescales don't matter so much and a sort of average current-light relationship will suffice.\n", "\n", "Speaking of realistic membrane voltages, does the Markov model's voltage-dependent current render it unsuitable for the most basic leaky integrate-and-fire (LIF) neuron model? LIF neurons reset on reaching their rheobase threshold, staying perpetually in a subthreshold region producing exaggerated opsin currents. How much does this affect the output? We will explore this question by comparing a variety of opsin/neuron model combinations.\n", "\n", "First, we introduce exponential integrate-and-fire neurons, which maintain simplicity while modeling an upward membrane potential swing during a spike. For more info, see the [related section in the Neuronal Dynamics online textbook](https://neuronaldynamics.epfl.ch/online/Ch5.S2.html) and their [example parameters table](https://neuronaldynamics.epfl.ch/online/Ch6.S2.html#:~:text=Table%C2%A06.1%3A%20Exemplar%20parameters).\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "neuron_params = {\n", " \"tau_m\": 20 * b2.ms,\n", " \"Rm\": 500 * b2.Mohm,\n", " \"theta\": -50 * b2.mV,\n", " \"Delta_T\": 2 * b2.mV,\n", " \"E_L\": -70 * b2.mV,\n", "}\n", "\n", "\n", "def prep_ng(ng, neuron_type, markov_opsin):\n", " ng.v = neuron_params[\"E_L\"]\n", " assign_coords_rand_rect_prism(ng, xlim=(0, 0), ylim=(0, 0), zlim=(0, 0))\n", " state_mon = b2.StateMonitor(ng, (\"Iopto\", \"v\"), record=True)\n", " spike_mon = b2.SpikeMonitor(ng)\n", " return neuron_type, ng, state_mon, spike_mon, markov_opsin\n", "\n", "\n", "experiments = []\n", "\n", "eif = b2.NeuronGroup(\n", " 1,\n", " \"\"\"\n", " dv/dt = (-(v - E_L) + Delta_T*exp((v-theta)/Delta_T) + Rm*Iopto) / tau_m : volt\n", " Iopto : amp\n", " \"\"\",\n", " threshold=\"v > -10*mV\",\n", " reset=\"v = E_L - 0*mV\",\n", " namespace=neuron_params,\n", ")\n", "\n", "experiments.append(prep_ng(eif, \"EIF\", True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Configure LIF models\n", "Here we define LIF neurons with biological parameters for the sake of comparison, but the `ProportionalCurrentModel` is compatible with models of any voltage range and units, so long as it has an `Iopto` term." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def prep_lif(markov_opsin):\n", " ng = b2.NeuronGroup(\n", " 1,\n", " \"\"\"dv/dt = (-(v - E_L) + Rm*Iopto) / tau_m : volt\n", " Iopto : amp\"\"\",\n", " threshold=\"v > theta + 4*mV\",\n", " reset=\"v = E_L - 0*mV\",\n", " namespace=neuron_params,\n", " )\n", " return prep_ng(ng, \"LIF\", markov_opsin)\n", "\n", "\n", "experiments.append(prep_lif(True))\n", "experiments.append(prep_lif(False))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparing to more realistic models\n", "To see how well simplified neuron and opsin models do, we'll also compare to the more complex [AdEx neuron](http://www.scholarpedia.org/article/Adaptive_exponential_integrate-and-fire_model#:~:text=The%20Adaptive%20exponential%20integrate-and-fire%20model%2C%20also%20called%20AdEx%2C,coupled%20to%20a%20second%20equation%20which%20describes%20adaptation.) (with [\"tonic\" firing pattern parameters](https://neuronaldynamics.epfl.ch/online/Ch6.S2.html)) and a Hodgkin-Huxley model (code from [Neuronal Dynamics](https://neuronaldynamics-exercises.readthedocs.io/en/latest/_modules/neurodynex3/hodgkin_huxley/HH.html#:~:text=def%20simulate_HH_neuron))." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "adex = b2.NeuronGroup(\n", " 1,\n", " \"\"\"dv/dt = (-(v - E_L) + 2*mV*exp((v-theta)/Delta_T) + Rm*(Iopto-w)) / tau_m : volt\n", " dw/dt = (0*nsiemens*(v-E_L) - w) / (100*ms) : amp\n", " Iopto : amp\"\"\",\n", " threshold=\"v>=-10*mV\",\n", " reset=\"v=-55*mV; w+=5*pamp\",\n", " namespace=neuron_params,\n", ")\n", "experiments.append(prep_ng(adex, \"AdEx\", True))\n", "\n", "# Parameters\n", "# Cm = 1*ufarad*cm**-2 * area\n", "Cm = neuron_params[\"tau_m\"] / neuron_params[\"Rm\"]\n", "# area = 5000*umetre**2\n", "area = Cm / (1 * ufarad * cm**-2)\n", "gl = 0.3 * msiemens * cm**-2 * area\n", "El = -65 * mV\n", "EK = -90 * mV\n", "ENa = 50 * mV\n", "g_na = 40 * msiemens * cm**-2 * area\n", "g_kd = 35 * msiemens * cm**-2 * area\n", "VT = -63 * mV\n", "\n", "# The model\n", "eqs = b2.Equations(\n", " \"\"\"\n", "dv/dt = (gl*(El-v) - g_na*(m*m*m)*h*(v-ENa) - g_kd*(n*n*n*n)*(v-EK) + Iopto)/Cm : volt\n", "dm/dt = 0.32*(mV**-1)*4*mV/exprel((13.*mV-v+VT)/(4*mV))/ms*(1-m)-0.28*(mV**-1)*5*mV/exprel((v-VT-40.*mV)/(5*mV))/ms*m : 1\n", "dn/dt = 0.032*(mV**-1)*5*mV/exprel((15.*mV-v+VT)/(5*mV))/ms*(1.-n)-.5*exp((10.*mV-v+VT)/(40.*mV))/ms*n : 1\n", "dh/dt = 0.128*exp((17.*mV-v+VT)/(18.*mV))/ms*(1.-h)-4./(1+exp((40.*mV-v+VT)/(5.*mV)))/ms*h : 1\n", "Iopto : amp\n", "\"\"\"\n", ")\n", "# Threshold and refractoriness are only used for spike counting\n", "hh = b2.NeuronGroup(\n", " 1, eqs, threshold=\"v > -40*mV\", reset=\"\", method=\"exponential_euler\"\n", ")\n", "\n", "experiments.append(prep_ng(hh, \"HH\", True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Opsin configuration\n", "Note that the only parameter we need to set for the simple opsin model is the gain on light intensity, `I_per_Irr`.\n", "This term defines what the neuron receives for every 1 mW/mm2 of light intensity.\n", "Here that term is defined in amperes, but it could have been unitless for a simpler model.\n", "\n", "The gain is tuned somewhat by hand (in relation to the membrane resistance and the 20 mV gap between rest and threshold potential) to achieve similar outputs to the Markov model." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING /home/kyle/GaTech Dropbox/Kyle Johnsen/projects/cleo/cleo/light/light_dependence.py:81: UserWarning: No spectrum provided for light-dependent device simple_opsin. Assuming ε = 1 for all λ.\n", " warnings.warn(\n", " [py.warnings]\n" ] } ], "source": [ "light = cleo.light.Light(light_model=cleo.light.fiber473nm())\n", "simple_opsin = cleo.opto.ProportionalCurrentOpsin(\n", " name=\"simple_opsin\",\n", " # handpicked gain to make firing rate roughly comparable to EIF\n", " I_per_Irr=140 / neuron_params[\"Rm\"] * 20 * mV / (mwatt / mm2),\n", ")\n", "markov_opsin = cleo.opto.chr2_4s()\n", "markov_opsin.name = \"markov_opsin\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we set up the simulator:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "net = b2.Network()\n", "sim = cleo.CLSimulator(net)\n", "for ng_type, ng, state_mon, spike_mon, use_markov_opsin in experiments:\n", " net.add(ng, state_mon, spike_mon)\n", " sim.inject(light, ng)\n", " if use_markov_opsin:\n", " sim.inject(markov_opsin, ng)\n", " else:\n", " sim.inject(simple_opsin, ng)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll now run the simulation with light pulses of increasing amplitudes to observe the effect on the current." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_1', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n", "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_2', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n", "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_4', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n", "WARNING 'T' is an internal variable of group 'light_prop_markov_opsin_neurongroup_5', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n", "WARNING 'T' is an internal variable of group 'light_prop_simple_opsin_neurongroup_3', but also exists in the run namespace with the value 100. * msecond. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n", "INFO No numerical integration method specified for group 'neurongroup_1', using method 'euler' (took 0.00s, trying other methods took 0.02s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'neurongroup_2', using method 'exact' (took 0.14s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'neurongroup_3', using method 'exact' (took 0.00s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'neurongroup_4', using method 'euler' (took 0.01s, trying other methods took 0.03s). [brian2.stateupdaters.base.method_choice]\n", "WARNING 'n' is an internal variable of group 'neurongroup_5', but also exists in the run namespace with the value 10. The internal variable will be used. [brian2.groups.group.Group.resolve.resolution_conflict]\n", "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_1', using method 'euler' (took 0.01s, trying other methods took 0.01s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_2', using method 'euler' (took 0.00s, trying other methods took 0.01s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_4', using method 'euler' (took 0.01s, trying other methods took 0.01s). [brian2.stateupdaters.base.method_choice]\n", "INFO No numerical integration method specified for group 'syn_markov_opsin_neurongroup_5', using method 'euler' (took 0.01s, trying other methods took 0.01s). [brian2.stateupdaters.base.method_choice]\n" ] } ], "source": [ "# hand-picked range of amplitudes to show 0 to moderate firing rates\n", "for irradiance in np.linspace(0.015, 0.05, 5) * mwatt / mm2:\n", " light.update(irradiance)\n", " sim.run(60 * ms)\n", " light.update(0)\n", " sim.run(60 * ms)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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Ly+PfL7zIiy+9zPSLLuKZZ54iNjaW116rurDci/d/o7EI9HuXlpaSkFBVjMbHx/t9LiosxGQyMX7CpCrHAkJUCATNECEsBAJBs2XN6jX07tO7VtFSXFwMuCPsHDx4SN0+btzYgNtZsnQpL/z7eVJSUvxmsCdPPher1cq6ENZy1MbHn3yi+qD78uorL5OTk8tzzz/PkSNHKSoqIje39twWu3fv5tHZs1m6ZDHJycmcPHkSu81ORKXFxuPOGIfFYuHGm25WxYdWq6VNmzbs3rNHPc5mt1dZqHzgwAFycnLo1KkT8+f/FOrXxmKxMG/eD1wxYwYpKSm8//77NR47fvxZ/P777zzrM4Dv1atX0G0uWryE/fv388yzz/HsM0+zYcNGdu92i6MlS5cyefK5vPTyK35lJk8+l61bt1JWXg6Aw+Fgzty5XHjBBRgNBjIzM/3WqlRm+YoVaDQaJk6Y4LcWpEePHnTt2pVVq1b7HT927Bh1/Qa4XYuGDBnCk089XaVuRVH4bs4chgwdwqhRp9UqLBqbQL/3pk2bufnmm+jWtSv7DxxQj/NGufKyavUaIiMjiY2NZePGjY3zJQQCQb0QwkIgEPiRkdG+2gR5dbk2NQTPPf9vFi9ayGuvvcoXX3xB3sk8kpKTGDF8OJ9/8SWFhYXs2rWbo0ePMnv2ozz88COcPJnH6FGn1ZrpuTLffPMtN97wN774/FOeePJpjh8/zqjTTmP2Y7N56+13KCysPfpOZeLj49m/bw+zZz/mZ3HwcuLEyWrdlsrLyyksKqzie+5LamoKd955J0uXLiUr6zAxMTHcfvvfOXQoU3XR2r1nDzNnXsGFF17Azh07KS0rZf/+/URHR3P1VVeyatVq0tPTufnmm6osut6zew+JiYn87W/Xs+z3ZdjsdrKzs3n8iSd56cUX0Gg0/L70d0xmM23atKFvn96885//BvzbfPHlVyz49WfMZjNzv59X43H79x9g+kUXcdZZZ5KdfYRevXpy0403VBuWNhDeeONNxo4dwwfvv8uks8/FZDLx7LPPs3rVSt55+y3++993sdntXHbpJVxwwflcMXOWX/mvvvqKxYt+Iy4+jq++/qbWtjIzs3j//Q949dVXeOihh9m6dStdunThiSceY82ff7Jo8WK/4ydMGM8dd9zOwoW/kZAQz2OzZ1NcXKwGMbh4+nSSU5LZvHkzeSfz6N69O+efN4XPPvs8pN+ioQj0e//8yy8cOnSIjz76kEdnz+b48RxOGzmCyy+71K++ffv28dlnn/PhB+/xzLPPsWXLVrRaDZ06dUKn0zFv3g+N/yUFAkGtCGEhEAj8WL/uryrbpk69iFWrV1dzdMOyf/9+zjl3Cg/cfx+ffPw/4uLiyC8oYOWKleoiUkVRuPKqq3nm6af46ssvsFqtLF+xgstnzGT1qsDcZlwuF5deNoNHH3mY//7nHeLj4zh06BBPPfU077//QdD97tvHHUVr8ZKlQZetC5PJTGpKCm+/9Sbx8fEUFxezZs2fzJhxhWqJ+PjjTxgyeDAv/Pt59Ho9t9xyG7/88isvvPAi9957D7Gxsew/cIBnn3mOQYMGktEhQ63/1wULePe997nr//7J7EcfYfbsx/jofx/z7bffUVpSyj9u/zv/vPMO9Ho9R44eZe6cuTV1tVrWr1/Pvn372LZte60i4bnnniclOZkPP3gfl8vF+g0b+Nfd9/LiC8+H9sMBt932D5YvW8rzzz/L7bffyfHjxznv/At55OEHmTdvLrIss3XbNi67fAbLKy183r59B7t276ZP795ceeXVdbY1+7HHyS8o4P4H7qN9u3bk5eXx4/yfeO7Z56q4q9133wNccMH5/P22W9Hr9axZ8ye33nab+vucOHGCG2+8gYcefACtVsvRo8f48quvq1hamgOBfG+r1cq0iy7m6aef5MMP3sfhcLBq1WounzGTVX/4/+7/d9e/uO3WW7jj9n/QqVMnFEVh7969vPFm8OGdBQJBwyMlJac2rhOmQCAQtHJuv/0fXDRtao2+4QIBuN33Nm1cz0XTL2HlypVN3R2BQCCoNyLcrEAgEISZUaedxv/+VzURmkBQHYGGjxUIBILmjnCFEggEgjAzc9aVTd0FgUAgEAgaHWGxEAgEAoFAIBAIBPUmaGFxwQXn88vPP5GZeZCdO7bzxOOPodFoAHcklPfff5eDB/axY/tW7rn7X35l69ovEAgEAsGpQnZ2NskpaaxYsaLugwUCgaAFEJQrVExMDNdcfTUvvPgiq1evoVOnTnz8vw/JLyjgtdde59VXXsapOBk6bATx8XF89OGH5OXl8dH/Pgaoc79AIBAIBAKBQCBomdQ7KtQdd9zO6NGj+Mc/7mDH9q0MHDSEnJwcACafey4PP/wgp48ZR3Jycq37BQKBQCAQCAQCQcul3ou3kxITyc09Qb9+fcnNzVVFA8CGjRvo3r070dHRde4vKyurUrder0ev11fZVlBQUN9uCwQCgUAgEAgEgjBSr8XbKSkpXHbZZXz88SckJiRSUOCfnbagoBBZlklJSa5zf3X88847yDx0wO+1d88uoqOj69NtgUAgEAgEAoFAEGZCFhZRUZF8+snH/Oe//2Xjxo1VMolCRWxuh8NZ5/7qePW11+nUuav66td/YKjdFQgEAoFAIBA0Q2SXltPLL6O9rXdTd0VQT0ISFkajkU8+/pj1Gzbw2muvA5CXn09iYoLfcUmJiQCcPHmyzv3VYbPZKCsr83sJBAKBQCAQCJonsc5kBpjHo3EF7m3f1zKWIeZzuajkngbsmaAxCFpYGI1GPv3kY/bt38fDDz+ibt+yZQspKSmkp6Wp24YMHcLhw4exWCx17hcIBAKBQCAQtGwuLXqYM8qv5DTTRQGXiVRiG7BHgsYkKGHhFRV79u7l/vsf9NtXUlLCnLlzefqZp0hISKBjx47cd++9fPLpZwHtFwgEAoFAIBA0DySXTKKjHQQZOzTS5RYJXa3DAi5jlssrPtQrVqmgqQlKWFx44QWcddaZ3HLzTeSdzPV7ZWRkcN9992Oz2tiw/i8W/baAlStX8vrrb6jl69ovEAgEAoFAIGh6xpddy6yiJ+lvGR9S+QhX4IF2LFKFq7vOZQypPUHzIKhws9988y3ffPNtrcfcetvfa9xXXm6qdX840Gq1pKamopHrFfBK0AAoLhcFBQWYzeam7opAIBAIBIJa6GMdA8Ao03S2RSwNurzeFRHwsU7Jrr6PcMVgR7jIt1TqnceiOZGcnMT9992HwWBo6q4IamH16tV89fU31UYKEwgEAoFA0HwwuCIbvA0JSX0focRQoqk+qI+g+dNqhIUkScyaOZOy8jLefuc/2G22pu6SoBIarZZuXbtw4dQLAfjyq6+buEcCgUAgEAjCiQsFKejYQP7CQtByaTXCIjY2lm7duvG/jz/m4MGDTd0dQQ1kZmYCMHXqVOb98KNwixIIBAKBoBkSmkAAs1SmLuAOFF+LRbBlBc2LVrMQwZuNOy8vr4l7IqiL/Qfcwi/Rk8dEIBAIBAJB88IslYZUziL75BxzSTUf6IPkEhaL1kKrERayJ4u34lSauCeCunA6HEDFORMIBAKBQNAwdLUOIdXeKehyZjm0pMQWqSJ0bKDrMyqvsRC0XFqNsBAIBAKBQCAQVJDgSGdK6T+4vPjRoMv6Wiy0Ln3A5RTJob6PDFAk+LpcRbiEsGjJCGEhEAgEAoFA0Aox+gzSNS5dUGXtklV9H0xmbMnlKxICLScsFq0FISyaCT/+8D2vvfZqo7UnSRI//fQj06ZNDbrseedNITfnGOnp6X7bJ06cwOJFC9FoNOHqpkAgEAhaKiKieJNjkyoCpEQp8UGV9XVWjghGWIQgEnzLGIXFokUjhEUzoX///mzdurXR2rvkkouRJZl5834IuuyVs2Zy8OBBrrhiht/2xYuXUFpaxlVXzgpXNwUCgUDQAkl2ZHBd4cv0tZzR1F05pfEdsEcrCUGWrRgiBmOxCMX64BcVSlgsWjRCWDQDunbpQkxMDFu2NJ6wuOaaq/n4k0/8tm3csI5x48bx/dw5ZB46wPJlv3Pmmf4PhfT0dEaPPp3HHnuCmVdcUaXeL778kquvvqpB+y4QCASCBsYFMc6kkK0Op5dfSrQSz/iya8LbL0GQ+AgLZ3DCghBDwPqLhLgAy/iKmLiAo0kJmh9CWDQDBg4ciMPhYMeOHY3SXnJyMsOGDmXBgoVV9j391JPMfuwx+vTtz3/ffZfPP/uUbt26qfuvuGIGy5Yt47dFizAaDYw5/XS/8kuWLKVPnz60adOmwb+HQCAQCBqGkaapXFv4AgMs40Mq75BEktrmQP0sFr6Wh9ByS0QH6H7lG25Wg1Ys4G7BtF5h4XJHMWiKV7AzPAMG9Gf//v0hJ4vr2LEj555zTsDHDx82jKysLIqLi6vs+/LLL9m6dRsmk4kvvviSP/9cy8XTL1L3z7ziCr797jtcLhfz5v3ArFkz/coXFBSwf/9+Ro4cEdJ3EQgEAkHTM8LsXn93RvmVIZUvk4vC2BtBqPgO2KPqISyCWZ/ha32IVgLLVyXhb6EIVgQJmg+tJvN2ZbTouTX/P03S9jtJt+Ag8NmaAQMG1MsNasKE8URHR7NgYVULRHWkpaVy7Njxavcdyszy+7x9+3Y6deoEwNgxY0hIiOe33xYB8N13c5g//wdiYmIoLa0IS5eTk0t6mv/CboFAIBCcOpT7CAudYsQuW5quM6cw/oP80F2hYpyBJ7QNxUpSRVg4EzipzarhaEFzptUKi5bEgAH9Wfjbb+rnPn368PzzzxITHUNWVhY33nQzNpuNj//3ETabjU6dOhIfn8CNN95EZFQkD9x/H4WFhUybNpXzz7+QTp06VVveS3xCgp8Q8EWj8TdiGSOMOBUnALNmzSQ6OppdO7er+yMjI7nk4ul89L+P1W35+fkkJoms2gKBQNBSsUjlGF1RIZd3+IQqjVbiKZRzwtEtQZDUyxXKx9oRoyQF1WpFm4GOBfzHHjEBlxM0N1qtsHBg452kW5qs7UDp2LEj8fHxbNmyBQCDwcB77/6Ha665jv0HDvD8889yySUX88UXX9KnTx8++eQTbrzpZi65+GJuu+1Wbrr5Fnbu3Mk/br+T7OzsWst7KS4uJiGx+htMzx49+Imf1c99evdm6e/LiI2N5bzzpnDlVVezZ89edf91117DrFkz/YRFfELF9xEIBAJB46NTjNglC4S4BrZcLsToDF1Y+OYyiFYSKUQIi6bA350pdFeowAWCvyAxuCIDslhVdYUSwqKl0nrXWEjuxWNN8QrmRj5w4AAURWH7NrcVYMrkySxZspT9Bw4AsG/ffpKSkoiKisRoNPDW2+8AsHffXuLi3dEW2rVrT3Z2dq3lfcnNzSUtLa3a/sycOZPBgwdjMBiYNWsmgwYNYs6cuVxyycXs2bOHxYuXkJ2drb7+++679OnTh759+6h1pKamkpt7IvAfQSAQCARhI9mRwc0Fb3JWPSIy+boyya5QchOF5p8vCC/+wiLOb9Bfd9mKIaLRFYVOMQZYzp9ArA+VhUWwIkjQfGi9wqKFMGDAAA4ePEhZeTkAPXp0Z8/eCotAr5492btnL71792H37j0oiqKW27VzF23atCEnt2ImqKbyvmzcsJEOGRmkpqZU6c8bb7zBE4/PZt/e3dx26y1cd/3fOHz4MFfOmskHH35U5fjc3BPMn/8Ts2a5c1fExsbSq2dP1q1fX49fRSAQCAShMsh8NhIy/ayh55CwSOXq+1AW0oY62y0INxXnQUYTnOWh0mA/UPckqdLQMpDrxyt4nDjcZYIOjStoLrRaV6iWwlNPPc1TTz2tfs7NzaW7J7xrv359GT58OPfd/wBXzppJRkZ7tFotMTEx3PC3v3HtddeRkdGe3NzcOsv7kpOby+bNW5g0aRKff/6F376jx45xwYXTqvRz/IRJNX6Hm2+5VX0/Yfx49u7dx+HDhwP/EQQCgUAQNkrlgooPLkJ2h/ISrSRSoskLqkx9fPsF4cPXJQ0gzplCqSY/pLpilCQKOBZIqwA4sKNFF5CY8V4vZXIBcUqquGZaMMJi0cz45tvv6NmzBytXLOe5557lhhtvwul00qdvHxYvXsKSxYv4Yd73PPnUU2RmZrFr1246dezIiuXL6NGjR43lK/PJp59y/XXXVtleeYYiWK7/23V8+tln9apDIBAIBKFTpqkQFqHmA/CLJhTC7HGooUoF4aXyMz1Oqd4Nuvqy7mvAhdtTIjrAyFDeFktlt4AJLKKUu5RX9EQriSEnZxQ0LcJi0cwwmUxcMbNq3PA+ffpw88238vAjj/ptLy0tZcLEs/22VVe+Ml999TVXzprFxdOnM2fu3Pp12sOUKZOJjIjgfz4LuQUCgUDQuChUTCbFOlMwy9VHAayN+rsy+YYqDSaikCCcVBEWzqou0HWVLZHziVNSAo4M5RUkpZp8EpR0ogMoV2GxKERBQYuOSFccJqlqvi1B80YIixZCm/Q2HDsWiAkyMBRFYcp554etPoBffvmVX375Nax1CgQCgSA4fAeTsUoKuRysVx3BhRqtWj5OSQ2LS5YgeKoKi9TAy7q8VoS8IIWFu1yRJpcO9r4BiRmvGHFgp9QjZOKdaZhkISxaGkJYtBCGDW/4TNZDhg5v8DYEAoFA0LD4ujEFM0PtX4ePMAihDt/yepeRCFcsZqkkpL4IQqfyQuqghIXnHBbLJ2hPb+IDLlshLADinXUnzPW25ZIUijW5xCkpxDlTOabbW0dJQXNDrLEQCAQCgaAV4RtSNDZEYeFrXghkYFhbH9x1BD6gFYQP74DdJrnzSKjWowBLAxRojwOe6yCAst5zX6RxR6yMcsXVGapWFRa4KNKc8LQX+HoQQfNBCAuBQCAQ1IwL+prPIN3etal7IggQ31nqWCU5tDp8ognFKEkh5LIIfaZcEEZcFVYHF4rHehTYgn5flyYXCkZXVFDBAKySCZPHShWv1H7+K4Soi2KPpUNcMy0TISwEAoFAUCPpjq6ML7+GS4sfauquCALE1w0pIcRZX986ZOSg3aEqL6cQg8SmwXseHZKNEk+UpgRnm6DK2rGqIYwDc2vyRpNy+bhD1XUd+pbxWizENdMSEcJCIBAIBDVicEWq73UuQxP2RBAolSM6BZoxuaY6AOKCFChVw5yG6pIlqA++g/wCzVEAkhztgyoLLgo9bk0JQayXwEdY1HX9+LpCFcs+ZUTI2RaHEBYCgUAgqBGrZFLfC5/nlkHlBbuJzrYh1OEvDAIZUFbXh2L5JBC8MBGEB99Bfr72CABJznZB1eGSXOp6iWDuAS4ft6a6ylUIC4ViTR4KCnqMRLriguqroOkRwkIgEAhaEWPLruCqgmcxKJF1HxwAvoPUBEdgLhSCpqXywulgB5JQjTCow0e+uhqgYgFvQoALfwXhxdcSkK9aLAK7HvxdmoKxWHjKSYpq6Uisw/2qIiqUC0VyUOK57hLFPafFIYSFQCAQtCIGWSYRr6QxxHxuWOrz99cPPjqQoPGpbG1IdARvsfAKg0KNOyJQsKLS24NCTQ5OHBhckUQrwWfwFtQP3zCu+VqPsHC2Dyq6kwsfgRCAKKkQM6hiJtHRrorgrb6Mu2PeviY6A3PbEjQfhLAQCASCVkhiCLPU1eE7GAh00aegaQmLK5TnvOdpswFIdmYEZXHwRpVySnZ1tjtJDBKbgAqrQ6HmuCryogIQeb6D/ZPawwDEK2kBrNnxj/Bkx4oOQ63ucBVRyNwXWUGQ1hVB80EIC4FAIGiFhDZLXRXf2e9Q8hkIGh+vsFBni0NyhZLUOpw4MLqigrQ4VOeCI4RFY1NhdXChSE51MXWKMyOQ0uo7i1ymRoZKrqOsb5suyaVaH2ovV2EdAVQLiVj03/IQwkIgEAhaIfFKeBbL+q2xcKbX6s4gaB5UiAL3Yt0YJRGjEh1kHV6Lg00d5CU7OwTdB5ffomEhLBqbyi5GJ7SZAKTZOwdR1j3Yz9O4rRYpjtqvgwp7hctTzmP1ctQsLCr30yy7819EKIHnzRA0D4SwaEGMH38Wy5f9jkYTbKIiuPWWm/nxh++r3ffjD99z+z/+zvvvv8stN99c324KBIJmgsalDUMtFUJCi15YLVoA3kGaRS5XRUGqo1NIdbhwVbhD1TIwrL38EU95ISwaG9+oUAC52oMApDm6BFzWJbnLet2h6hYWFe5XQEDXT2VhYZJLASEsWiJCWLQQZFnmmaef4rHHH8fpdAZd/vvv5zF8+HDatPH3kW7Tpg0jRoxgztzvefLJp7n77rtITEwMV7cFAkEjY5HK1PfhWBNReSFwXYMKQdPj66+eqz0EQJqj7hlqvzp8hUEAM841lQdFtZwkONsgh0XsCgKlYpDvtjrk6LzConOda2YqD/YDFRZUEjN5nnKpjo41tumbMwPALLmFhdEVrWYPF7QMhLBoQlYsX8bll1/mt+22W29h/o/zqhw7ZswYNBotv/++DIAZMy7n7bfe5I47bmfXzh0cPLCPZ555mjZt2vDll59zOOsQG9av4/zzzwMgJzeX1avXcPH0i/zqnX7RNNauXcuxY8fIyspi69ZtXHzx9Ab5vgKBoOHxdV1KDoMIqCIsgnCHETQN3nOmoHDCIyxCtlhIFRaL4ERlRWSgUjkfs1SKBq0Qpo1MlWhLmiM4sGN0RQcQQth/sO91o0pytkfr0tfSpreUt1wWThxEueKJUZJq76fkdYVyCwsNWr8knYLmT6sWFkatsUlegTJn7lymTb3Qb9u0adOYM2dulWMnTz6Xhb/95rftvPPOIyoqimHDhzNz1pXMmjmT+T/+wIcffkSv3n159733eP21VzEY3Nlyv5szh4svudivjunTL+K77yraW7RoEeeec07A30EgEDQvKmarIT0Ad4c666v0mEhxdKxfhS4wCveGBsV3MKlaLOx1z1D7UzHT7XWfiVfSAnZN8Q1zigQ52gNAeK5JQeBUHrArkpOT2iwA2ti71V7W5S9KyjQFlMr5yGhIt9d8HtV7hqdNp2RXrR11teltS5EcanJO4Q7Vsmi1Nkmj1sgfd65skrbHvDYWi8NS53Fz537PvffcTVxcHMXFxWRkZNC3bx9++HF+lWNHjhzBW2++7bfNbrfx/PP/RlEU/vxzLRs2bCAvL49FixYD8P77H/D4Y7PJyMhg//79zJ//E/9+/jm6d+/Ovn376NqlC7169eLH+RXt/fnnWh588IF6/gICgaCpkH2EQG0P/0DxDi4c2NGic884u4AQvRNGmy5lqHkyP8W8ziHD5nr3T1AVX7eSPG02Ck51trhUkx9YHT6DSptsJl9zhCRne9LtXQM6b5VnynN0B+lsH0S6vStbIhYH/Z0EIVJJHAAc0+2ljaMb7ey92G1cXWPRypYHd9l99LQm0cbRnSP63bU37VPuuHY/6Y4utHF0Yy9rq7blkquUMUulGFyRRLpiKCKn1rYEzYdWbbFo7mRnZ7N5yxbVXWna1AtZtmw5hYWFVY5NS0vj2PFj/uWPHEFRFPVzUXERhzIz1c9OpxOL1Up0VBQAZWVlLPztNy7xWC0uvng6S5Yspbi4WC1zPCeHiIgI4uLiwvY9BQJB4+FrYajLZSGw+jwRhrRHcHpcKGLrEQJyqHkyAGeUz6pXvwQ142stcEg21YWlnb1n8HV4BnrHPRaHNo7aZ5zV8i5/P/sKi0XXgPsgqD+VIzsBZOt2AdDe3qtWK1blRdgAx7X7AGhr7x5UuRzdfgDSa7BYVNdPs1jA3SJptRYLi8PCmNfGNlnbgTJnzlymTZ3K559/wYUXXsDbb/+n2uMS4uMpLS312+Z0OKocV902v/a+m8uTTz7Bs88+x/TpF/HMs8/57c/Pd89mJSUl+gkOgSAYtC49Dmwhz2oLQsd3saaMhlRHR47p9tWjPvdJdGInV5tJW0d32tq7U6I5Wa9+isFCw1F59veIbjfpjq60r2OG2q+OSgtwj+v20896Rp2uLBX49yFXewgXCrFKMlHOeMo1RQHWI6gP1YoD3T6cOIhVkolTUinWnKixtJuKwb73XpLu6Ibs0qBIVYPJVBaV4LZYgDuXhUGJwiqXV2qpqmWlIuRsbO1fUtCsaNUWC4vD0iSvYPjhhx857bSR9OvXl+7du7Ng4cJqjysuLiEhof7RmhYvWUJcXCwzZlxOamoqCxf6r9tISIgHoLCwqN5tCU5NEhzp3JT/JmeVXdPUXTn1cFW4QqkzzLXMLAZGxQP/uM47W9mjnnW6Q9cKGgr/2d8jOrfLSjt7ryBq8K/De+5THZ0DsoJVdqOxyxZOevIgtA+iH4L6UVkgAjgkm2pBam/rXWdZ7/oMcCdMNEul6F3GOtfL+IqEck0RBZpjyMjVnv9qhYUnMlSES0xCtCRatbBoCeTn57Nq9WqeefopfvnlV8xmc7XH5ebmkp5WVwSHurHb7fz443zuv+9efvr5Z6xWq9/+1NRUrFZrte5YAkEgDDKfgwYt/axnNHVXTjl8Izh5B5P1HcSpM56Sos5WtnXUX1gIGo6q6xv2qzPUsc7A3Ngqz3QXyycolfPRogtIWFY3UMzW7wQgw94nwG8iqC/VnQeAw/odAHSyDwiurOTisH47AB1t/Wso5x/i1kuWzluuX41lfAWQyGXRMhHCohkwZ85cRo8ezZy5VaNBedmwYQPDhw8PS3vfzZlD+/btq40+NXLkSDZs2BCWdgTNgyGmycwsfILIRjIne/1iBY2P7/qKbM/Dv429e70S5fkOLo5r9+FCIcGZHrJ7gpPa3TUF9UeuJArsklWdoe5Uw2CwMlVmqyU47BkYdqhmYFi1fNWB4mGdezCbYe8bZIQqQaj4Refy4ZB+EwAdbH1rtEDVJEqy1OugJmFREWrYl2yPmOlg71fN+a/aT5F9u2UihEUz4NtvvyM5JY0lS5bWeMzPv/zC2WdPUj9/9dXXTJzkHxb2+utv4N8vvOi3rVOnLmzessVv25o1f5Kcksby5SuqtHP22ZP49dcFoXwNQTPldNOlJDnbc2bZVY3SnvdhACC7gs8SLwgdX4tFnuYI5VIROgw1LpgMqE6fqDJW2USeJ9lZRi0uFLUhhGdjUHWQdki/GYDOtkGBVVFNNKEsj1jtYO8bcE983WiO6/bhwEa0kkCis23AdQhCp7poS+B2aSqWT6BFX7NQrGatBKBaLFKdHYlyxtfSun+5o7o9OLAToySR7PRPtli7K5RYY9GSCFpYREdH89FHH7Bxwzq/7Xq9npdefIE9u3eyd88unn/+WbRabcD7BbWzfPkK7HZHg+aY6NatG8OHDeO7aiwZgpZPILOM4cAbexxoNCuJwI2vxcIlKRzRu6O/dKiH60nlB77qBmEPbOa7Mt7BAoDGpQu5X4KaqW6QdkjvnmBqZ++FTqk731J1UXqO6HahoJDkbFenS1V1fXBKDtVFr4ttcCBfRVBvqrc6IMFBj9Wim21oDSWrL2uWSznmiQ7VzVbVk6LCfdK/nEOykaXf5i5nHeZfphoh652EiFJElMqWRFDComfPnvy28Fcc9qqm7EcefogePbpzxpnjGTvuDLp17caDD9wf8H5B7TidTh548EEefvhBZLlhDE2zH32EF198iZMn6xftRdA80WHwS57WcFTMmkcp8Y3QnsCL7/lVUMjSuR/iAc9SV1dnJZeWTP1WwO1fXRH9JXDsUsW6LiE8Gwa5mlnqIm0OhZocNGjpbBtYZx3VRROyyiaOeoRBN2v1g1G1fA0z5QcMblfbrnWUF4SHmsQBwF6DO59EV+tQ9EpENWWrXysBsM9Ttod1ZDXlqLHNfQb3pHQ363A/g0Z111upXABAtJIoXOdaEEGNMsaMOZ3HH3+S//3vY7/tkiRx5ZWzeOLJp8jJySE39wSPzp7NddddiyzLde4XBMbixUsYM/YMv9wV4eSqq6/h7XeqD3craLkUyhWJhVIcHRq8Pd8EbZFipqlR8f3tXShk6rfixEGSsz1xzlCDP/jPXOdoD2CVTES4Ykh1dK5XH8X10VBUPyDcp3cP6npaT6uzhuqiCQHs168Hqp+pDqT8Qf1mFBRSnZ2IcSbV2Q9B/ahNWJzQZpKvOYoWPd1tI2opW5V9hvUoKKQ7uvhbr1zViwQvmbotOLCRoKT7uUNVZyEr07iFhd5lRO+qKnwEzZOgRvUffPAhC3/7rcr2Lp07ExkZyebNFb78O3bsRKvV0rNnzzr314Reryc6OtrvJRAIQidU95VgkITFosmQKgkL9wzzHgC6WIeEWKf/wESRnKolpJttWI3lAumjcHFoGKobpAHsMawB3Itn61oQW9OA9IBhAwoKaY7OdYjV6stb5FL1mqxutlsQXir+36qZkJRgl+EPAHpbTq+llqoCwSyXcMSTaK+H1VeU+Foxq5azyxbV6tndWiFOq7veHJJNdZ2MUeofbl/QOITFXJCQmEh5eTl2u91ve1FRESkpKXXur4l/3nkHmYcOqK/t27bUeKxAIKge3xniLtaG92v2dccRA8fGxV9YuB/QB/Ru15NQB3HVxbLfZ/gLgO7WET4LPAOsz+f6EImvGoaaREGRNodc7UFkNPSyjA6sjkrRhMxyKdme6E69LWMC6EPVAa1X4PS2jBEuLg1Mdf+/vuwxrkHBSRtHNxIcbSqVrQg1XR1eV6qe1lHqefSXFdW3ud/jDtXdOlK9f6gTUpX6WeZxh4pRhHWrpRAWYeFyVX/xSJKE0+Goc39NvPra63Tq3FV99etft1+oQCDwx3ewmersRLSzYWd+JD9Xl/gGbUvgj9e3XkFRn/D7Detw4iDV2ZEkR/ug66zOrSFTvw2rZCJGSaStI7gEfLKfxSI+6P4I6qamxbMAO4zuaIADLBPqWHNVszuLt47e1jE11iFRs+Dcb1iHDQsJSnrQ148gOGpzhQIwySWqBaG/5Sy/fZXDFlfmgH4DdqwkOtuS5kmWV9lqWh2H9FuwSWbilBTaOLwR66rvZ6nHHaqhn1uC8BEWYZGfn0dUVBQ6XUWED0mSiIuL48TJk3XurwmbzUZZWZnfqyYUj3iRNWLNRnNH44kGptQgOAXhxXujt+NeNNvFFppLTODt+bpCCYtFY1LdLLFFLldDjdY2w1xjna6qdSqSQ7WEBFun78AjWrg3NAi1WQt2G9ZglkqJVZJrjcxUXZQeL4f0mzFJJUQr8TXWUdtMuV2yqot4B5gn1PFtBPWhtvPoZatxCeAWiuoibp/Dayprk83qYvw+lrHeFuvsk0Oysd9z/+hlHeXpZ/UipsJiIe4VLYWwjMIzM7MoLCxk4MAKi0K/fu4414cPH65zfzjwio7k5OSw1CdoOLp1dc9sFBQUNHFPTg28Azmv+0qvABZuhqM9gEiXEBaNSU1RXHYZPX7U1tE1JsOquc7qBybbjcsBt3+1QYkKuD5fi0WscG9oEGobTDolO9uNywAYZJ5UZb9aRy0z3YrkVOsYap5SgztTzeIGYEvEIgC62oYFnA1cEAo1R3bykq3bSYHmGHqXkd5W91oLf4tTzaJkp2ElAD1sI9C69AG5QkGFO1w363Bkl7bG661UzgcgWtwrWgxhSyTx0Uf/Y/ajD3PjTbegKE4emz2bb7/9DqvVGtD++lJSUsL+/fu54ILzKSwswm6zhaVeQfjQaLV069qFC6deyOrVqzGbzU3dpVMC2TPI2GNYQ0/rKNIcXUhwtKFQe7yB2vOZkXYmNEgbgurxCgul0iAiS7eNYvkEcUoqvSyj2R6xLIg6q4/uk6s9yElNFinOjvSxjGFT5MLA6vO5PsSAsmGoLSoPwNaIpQwxT6atowftbD05qt9TTR21z3RviVjCYPM5pDk6k2HvQ7Z+p3/5OmbK87VHyNJto6O9P4PMk1gR/UVgX04QFHWdR89BbDEu5qzyqxlgnsAW4xJ8LQ+1lT2q20ORnEu8kkY36zD2G9b71Ftbud2UyQVEK4l0tg2o8T5TqikEIEa4QrUYwiYsXnzpZWLj4li+bCl6vZ5ffvmVRx59NOD99cXlcvHZ51/wwP338X//vDNs9QrCz+rVq/nq62+auhunDBLu7NflcjFZ+m10sQ2mt3UMq7XfNliLXqJc8WhcOpySvZbjBeFCrmGxpUtysTliMWeUz2Sw+Rx2GleiSM6Aa4XqE2xtiVjCxLLrGWw+h60RSwM6z/6uUAlILrnGxaGC0KjNFQrAJBezw7iCAZbxjDZdyre6p6p4sFQM9KqvwyKXstO4koGWiQw1T6kqLAJwidkYsYCO9v70sYzlr8j5WERW9sBxEYjXUWDCAthtXM0o08XEK2l0svfnsGeBfp1lJdhlXMUo03T6WMb6CYvayrkkF3sMfzLUPMW9+LuGa7ZMtVgIYdFSCElYrFq9miFD/WNYO51OHnroYR566OFqy9S1Pxzk5+dz/wMPkpqSgkajabB2BKGhuFwUFBQIS0Uj4zvY3GlYSRfbYPpaxvJX5A84pPBb9uRKHpaxzuQGs44I/KnwU646GNxlXMkI0wXEK2n0to5hh8eVqc46a4gOBG4r2HDTBcQpKfSznKm6t9SG7/WhQUuUEq/GqxeEh9oWb3tZF/kjvSyjSXd0oattCAcMG4OuY1PEQvpZziTD3oe29u4c0+3zqwFqd8E5ottFrjaTNEcnBpvPZk3UnLq+2ilPrDOZkaaL6GIbjNalp0iTw379OrZELMEiV12HWpMloDIOycZO4wqGmCcz0DyRbF2FUKxLlOwyrGKkaRrtHD1JcFZElqrt3IP7/jHUPIVOtoHka45U21aJnAe411jILk0QEyKCpiJsFovmgsPh4NhxMYgRCLz4usdk6rdQLJ8kTkmhp2UUOyICG1wG157/NFqskkwh4n+yMajNBcYuWVkXOZ9x5TMZYZrKHsOagIRlXb726yN/YkLZdQw1TWGHcXmddUqVhaeSLIRFmKnLYgHuaECbI35jhPlCRpdfyiH9VhSpIkpjIDPdpZp8dhpX0t9yFqeVT2du3PPqLHqgLjibjb9xTtlNZNh7sybQL3iKkuhoy/Ti+4hwVeQgSXS2ZYR5KgMtk1gZ9ZU7L4XPLbi2iYHKbDUuZZD5HDrY+/lFkKurbLmmkMO67XSyD/DLh1FXeJZ87VFOag6T4uxAqrOTpy3/UuVyETYs6DES50yhUJtTTU2C5oQIoSQQtHJ8o/q4JBdbIhYDMNQ8GdkVfste5YFjnPCjbzTkGtZYeNlmXEaxfJJoJZ7B5nMCqrMuX/ndhtUUyyeJcsUxzHR+APW5+2iSigH3DKwgvNQUYacyGyMWUCYXEa+kMdh8tv/OAKIJAayL+AkHdto5epJh71PRhwBdcPK02QDEO9OrjETb2nswueQ2opzxtdZxKiC7NJxTejMRrhhytZl8G/c0HyX8i4XR73JSk4XBFcnEsuuZXHqbX4CGQK8FcAtFbwS5/pbxQfXPuxjbP0pY3W16g4pUlKjqclmkyQU814ig2SOEhUDQypErRQXZYVxOuVRMnJJKX8u4sLdXOa69WKDbeNQ1O6lIDtXdZLjpfBIdbQOvs4ZBgiI5+SPqKwCGmM+ts07v9ViscYcaj1WEsKgLgxLpDgMaYITuQAf1dtnC6kj3erfhpguI8gm2EIjVA9yz1d4IUaeZLvJJlOa9D9Teh2JNLi4UDK5IIlz+CRMvLr6fbrZhnFN6c611nAoMMk8i2ZmBWSplfuwr5OgOUKYpZK/xT76Of4I/Ir/GiZ1utmFMK74bncsA1L2QvzJeF8lu1mHqtrquAYDD+u0oKH6J7AJp05u9u7a2ijRuK0WCEBYtAiEsBIJWTuUHi0OysS7yRwCGmy4MOvxo3e1VdoUSwqKxCGR2cp/+Lw7ptqBBx8Sy6+tIkhbYwOSgYRMH9ZvQoGV82bW11um9Poo1JwBhsagJySUz0DyJawr+zU0Fb3JzwVtcX/Ay40uvIcXRofayAYoCgD2GPzmm3YsOA2PKL/OpI/AB6YbIn7FjJd3RlU72AX77alujAeCUHJR4FugmONOqPaado2edfWjNyC4NAy1ui9KqqG8xV1rk7pJcbIpcyPdxL2CWymjj6MbkktvAJQUsMr1k63ZilUzoMVbUH0BZi1xOnibbv18BlDuhzVJzLHlLVabQIyzinW2q7BM0P4SwEAhaObInKpTiM4u9w7iCYvkEUa44RpguDGt73gFJoex+GIiBY+NRUx6LSgfxe/THWCUTaY4ujDZdXEedtUcH8rI86nNskpk2jm6MNE2t8Tjv9VigOQbgt9hT4EZ2aTi39BbGlV/hZ9GJcsXT13oGM4oeY2rxXTVmUg9qMCnB8ujPUVDoYRtJO1tPvzoCMZOY5BK2RriTrI0svyjoAa1wdamdzrZBRCvxlEvFqstRdRzX7Wd+7CvYsdLR3p8BlrOCFhaK5OSozj/8cKBlT+gOVdpSdzmXpFDgE9yjura86yqExaJlIISFQNCacfnGIvfNnOxkpcd9ZbD5XFLtncLWZIWri3tGOk5JCdiFQ1A/AndfKWJJ9EcADDFPprt1eC1H15xB2ZcyTQFLo/8HwDDzeWTY+lZfm8eaka91R4FJdLYV10clRpdfSjfbMJzY+T3qE/6TdCvvJN3C97EvsMewBicOOtj7MaPoMUaXX4Ls8o/DEkhEJ1/ytNmqO9O48llILjnoAenGiF+xSWZSnR3pahviY7UKRFh4Z6T9LRbe5GgBVtNq8bqsBhImOld3iFVR7lDio8ovIVLxJikNPKTzce0+v88BCwttpv+GAMLhAhR6JhlqaqtI4xYeQli0DISwEAhaMb6hPRX8H0iHDJvZY/gTGZmJZX8Lo0tUhauLghO9K4IoJT5MdQtqo67F274cMGxgQ8QvAEws/Rtt7d2rPS6YAeY+wzq2GX9HQubc0puJc6ZWU5+7jwWa4zhxoHdFEK2IRIpeUu2dGGiZCMCvMe+wPWIZdsmKQ7JxRL+L32Le47OEB9mnX4eMzFDzFC4reohonwRiwbhCefkz8nvMUhnJzvZ0sw3zWa8T2KDSIpez2fgb4F6/E5zFovoZaW+oUeCUvUa0Lj3t7b0AarVW+LLN+Du52oPoMdLN5l4rEeh5BLd7kj+BlS2WT6rvA7kHeSnwFRbV9NNr0YpwxWBUYqrsFzQvhLAQCFoxvhGaqnvAr4j6gnKpmCRnOyaUXheWWUFv5m2HZFMfCEnOdvWvuJWjdenpYh3MYNM5DDadQ1frUJ/ZxsBQ11gEmHBuTeQcDuk2o0XP+SV3kuzIqLnOAC+OlVFfcly7H6MrmvNL7kCnGP32ewecTuyqVSvRWfci8lOF00zTkZHZY1jDIcPmao8p0eSxIPYdfo55A7NUSoqzI5cWP6wKudrymdSEVS5X85AMMk8KetEvwOaIRTixk+LsSKLnfz6Q8oWe+0RtbnGn6jXSzt4TDTpK5DwKNQGG7ZZcbKqUUyaY81iiOem/IUDLQ5lc6NNe4NdeuVxUazm7ZFVda+taXyRoeoSwEAhaMb4Wi+oGmxa5jAWxb+PEQQ/bSIabL6h3m75+/vmaowDqIENQDS6JAeYJ/K3gFc4rvZ0xpssZY7qcKaV/528Fr3BF4eMMMZ0bUMjNgNZY+DXt4tfYdziq3YPBFcmFxXdVsTIEO/vtlBz8EvsWZXIBic62nFN6sxqyFnysKpLv9XFqDhorE+9Mo6O9Hy4U/oz8vs7jDxo28VX84+RrjhCtxDO1+C6MSkxQ6yN82WFcjoKTdEdXdVswA1KrbFIzNhtdUZ7ydV83Xre4OGean+XUux4HIOEUvUa8LoWHdTsCHuADZOq24MSufg7mPJbKoeWVKddUCAtNEGnSLHK5+r6mfp70WFFSHR1D6pug8RDCQiBoxfhG56nJNH1Mt4/lUZ8D7nCRQ0zn1q9NHxcI74AhySGERbW44IzyWZxRPgu9K4Ji+SR7DGvYY/iTk5rDKCgkOzM43XQZ1xa+wNmlN9W6HiaUWWanZOen2Nc5qTlMlCuOqcX/8rOUBOtrD2CSi/k55k0c2OhsH8hppume7yv5iR+vb3UgYW9PBfqZzwQgU7eNEk1e7Qd7KNMU8H3ci57El6mcWXZlSNcBuBdhZ1cK/xmMbz5Atr5y+QDalYoxScXIyH73Cl9hUZ017VSgg90jLPTbgypnly3k+qx5CMaC4JIUHNSdPLNKm5K17oOqwSoFLixShLBo9ghhIRC0YvxdoWp+sOyIWK7OkJ5uuozTPJFd6tOmC4UCz4y0cIWqnsHmcxhgGY8LheVRX/BJwv38FvMev8W8y1cJj/F+4p0sjf6Yo9o9yGjoaT2Ny4sfZVrx3aTZO1epL5g1Fr7YZDM/xL1MkZxLnJLC1OK73HkTCE1YAJzQZaoLxIeZz6OHZaS/BQ2FfK1bWCQ5T81Box8u6G5zL6LfHrEsqKJmuYRfYt9CwUl323DaOLoBwV8HANkei0NFt4I771UW/gbi2y9VJMpL9rkWZJ+JkTRHp6D60RrQKUb13nlUtzfo8gXao+r7YM+jr3tSMNgkS9BlLJLJ51NNwuIwIFyhWgJCWAgErZhAhQXAusj5qrgYbr6Ac0tvUQeXwbVZsegz3/NgS3S0C1motFZincmMNE0DYEXUl2yNWAyVBmFWuZwdxuXMjX+eL+Nns8uwCicOMux9uKz4Ec4tuYUIpSKpWEU0oOAHlGa5hB/iXqZcKibZmcGEMveam0ATnVXHXuNa1kf8DMD4smv9kmcpKGoUmRRHRoNkgW9JJDsziFYSsWOtMrgPhDzt4aqLe4NYsOvluG6/3+dgB6ReK2VF+cCuRVVY+AwcK7tCeZO+nSqkON2/RYmch6VS7opAyK8j2lJtOKTgLRYADoK3WljlsjqP8Vos4pW0kJ5LgsZDCAuBoBUj+/rHBzCuXxc5n0XRH+DEQXfbcK4oerzGaEE14XW/UlAolk/gwIYOA/FK1QhBpzKjyi9Gh4Ejul1sNS6p8/g8bTaLYz7g04QH2GX4AxcK3W0jmFX4FJ2tgwDUtQzBuD34UqI5yc+xr+PEQTfbMPpYx1IRbja0Ov+MnMtR7R50GDi9/FJ1u0tSKJFPYpbK0KA7ZV1dvHSyDQQgW78Tp+QIqY6dxpV+n4MdTEJFBJ5Q63BKDkxScdDlT2q8wsLHYuEjLGTkU84NxruewDtbHyzeaFtughUW9roPqoa6wuFWh6/FQucyVn+MXE6x7A72kO7oElLfBI2DEBYCQRMgu7S0tfegr2UcQ01TGGieSHfrSJIdGVVi0tcH30F+oOw2rmJu3PMUyyeJVZKZXnwfZ5VeE3CYP19XKJfkUkMXptnFw8BLtDNRDQO5MuqroBZllmryWRzzIV/FP85JTRYRrmjOK/0H/cxnhuwK5Uuu7hBrIucAMLr8EvSeB30og1RwW67+iPoagK62oep2xSN2T2jdSbXSHFVdu04lOtncGasz9VtDruOYdj9Wn0FaKALTIpXhpELYhCIoS30W8QY6oPV1hfIKZO/9q1wqAqjW/a81k+Jx/6qSHyJA/K6FIM+j78Lv4MoFLywUHyFtcEXWeNwxjztYO/upnYm9uRO+EYxAIKgT2aVlqHkyA82TiHBFV3uMEwcntVkc1e3hiG43x7X7scvB+61CxYxfsAOMHN0BvoyfzdjyK+hrHUs/6xl0tw1nbeQPbDMurXVWSq7kk5+jO0BbR3fSHV3ZQ2Bx2Fs7AyzjkdGQrdulDqiCJU+bzTfxTzGufCb9LWdxVvnV7DL8AYRusfCyJWIx/SxnEq+k0ccyxlNn6LGIT+gyOaTbTGf7IHWbt4+52oN0tPcnzdGFbfxer363VDQuHameQeRhXXCLdP2QXJzUHKa9w533IKRzJrlz0HgjdYVSR5mcTxqdgipfqDmGTbKgdxlJdLYjX3tEvX8d1+2nm22YX7SqU4EKi0XlvBKB4bveIXhXqMazWPiid9Xs5nRUt5fe1jG0FcKiWSOEhUDQSEQqcZxfcqe6CNEkFZOrzcQil6Jx6YhWEkh0tsPoiiLd0ZV0R1eGmqeg4OS4dj9Z+m1k6beRp8kOeIZbqscMtl22sDTmI3YZ/2Bc2UxSnR0ZV34FA8zjWRX1LQf1G6vtR+WQpznaAwCkC4uFG5dET+tpAGw1Lq5XVYrkZFnUp7hwMcAynt5WjwgI0W3Jt96tEUsYVz4TDTp3nfVMcrLX8Ff1wkJ3CMyccoNGX1IdHdGgpVwq9s82HQJ52mwfYRHadWCWKvz5QznvvuFKAy3vklzkag+SYe9DG3s3P2FxRLeLbrZh7plqlxTS2pGWhsalUxMGhios7JJZfR+0S1uIFguF0Nz4dhtW09HWv9YkgEd1ewC3dVPr0oe8DkTQsAhhIRA0AgYlkqnF/yLZ2R6zVMqKqC/YZ/irasQUF8QoSbS196CdvRft7T2JU1Jp5+hJO0dPRpsuoUwu4rDOLTIO63Zgk83VN4rvQurQB5rHdfv4Jv4J+ljHcVr5NOKVNM4r/QdHtXv4I+prTugya20zR3sQcLs4iIeB+6EYrSRik8xk6rfVv0IJ/oj6io62/sQpKUD9RQDAQf0mxpXPVD/Xt85CbUVyL981P8e1+3GhkOBMJ8oZT7mmqF7ttETSPD7jubqDQbnFVUexT3KzUM+Z/2x18HX4RwYKvPxx7X63sHB0YzvL1AX9x3UHsEkWIlwxJDszyAtxzUFLIt6ZhoSMRSrDJJWEVIfvefBdrxIIoVosQnGFAlgU8z6yS1OrxaNEPkmZXEC0kkgbezey9TtDakvQsAhhIRA0AmeVXU2ysz1lchFz4p6tmtnUi+T2od+jWcMeo3vmJsaZREdbfzra+5Nh60O0Ek8f61j6WMfixMFh3Q72GdZyUL+5isuUHEIG3upwSS52GJezV7+WoebJDDafQztHTy4vfpQ9hjWsivxOTY5UOVNzuaZQfRik27twRL+7Xn1p6XjXGRzSb/HzLa4PTsnB5ojfOKN8FlC/NRZeSjX5FMsniFMX3devzhK5Ii+Db7Qyq2zihDaTNEcXMux92K1ZXa92WiJea57XulcfbPXwq/fi9BH/odw7fK/rYMTNcd1+t/XK7rZeedcMObFxVLuHzvaBZNh6nzLCAjyL6UMUm3YfYRFsRK1QJ4Dqc0+r041KcicK7GMdS0fbACEsmili8bZA0MB0sQ6mu20ECk5+jnm9ZlFRA6WafLZHLOPn2Dd4N+l25sW+yCbjQgo0x9CgpbN9IGeX3cT1hS8zrmwmsc5ktWyoibJqwi5b+DPqez5NeIDdBvcAsKd1FFcUPUZ7W69KbVYMSI7o3GIiw5Ps6VSmi20wgNuVLIz41qevIbJKsPhGCAooH0Et+CbBqsxhnXuAkGHvU682WiqqxcJj3asP/ou3Q7RYhJix2YtfxucgrhuvsIpX0ohQYtRZdqfk5Ign8d6pcg/xukFVjtIVDL6/fbDCwhmyxSI8kyU1cUi/BYAutkGhGNMEjYAQFgJBAyK5JEaZLgZgY8SvVdyGgkWRHGTrd/JH9Nd8nvAwn8U/xNqIHyjU5KB3GRlomciVhU8zsnwqkkuu1xqL2ijTFLIo5n2+in+ME5pMIlwxXFDyT9rYu1WbUM27ILWDrV9Y+9HSiFTiSHCm40LhcAi5CmqjzCcSj3e2s76Ew61GRQIb1QchyPYKC1ufUy7fiUGJJFZxTwacCNGX3herHAZh4TuoDOF0OH1mnoPpg002k69x58FIt3dVXaFcKGTp3NGy2tt7nRJ5DLz/w4V+IWNDJ2iLRahrLOq5eLsusvU7cGAnTkklwRNgQNC8EMKikTAokaTbu9LNOoweltPoaRlFJ9tA0uxdiHWmnPLJoVor3WzDSHS2xSKVsT7il7DXX6g9zl9RP/BZ/IN8H/sC2bqdaNAxwjyVC0v+T32Y1Hcxb02c1B7mu/hnOKTbghY955XcToQnLK2vmDnsMVmnOjuq+09F2tp7AJCnya51bUx9iXCF5zcu1pxQ34fD6mWuIcnXcd1+bJKZKFf8KRej3ht9qVTOD8s1YavHgl0voc5Wq+UJfY3GcY/Voo2ju8/EiJNCbQ75mqNuK60n50drJl61WIRHWGgbyWKhhLjGIlDskpUjnomI7p6Q3YLmhVhj0YBoXFr6WMbR03oabRzdaj1WwUmpXECx5gQlmpMUyyco0eRRIudRojmJRSqv96I+QeMzyHw24A7fGWrI2ICQ4Ih+F0d0u+huG8H4smvpYO9LVFkc0LA3e6fkYEHsO1xW9AhJzna0c7hDAfqKGbNcwklNFinOjnS0DWC3cVWD9ac5442/ftQTj7254xuhqL7rdMB/0OuLIjk4pN9MT+soulmHkaOr/1qDlkKisx0ABT5ZkutDffNYADioX4AFJUSLBbiDRfSznkFbe3c0niGKt74D+g0kmdvRzTaMPcY/69XH5o7fGoswELQrVKh5LMK0bqw29hrW0sk+kJ6WUfwV8aMYGzUzhLBoINraezCp9AbVxA3uh3SJnKf+4xlckRiVaKKUeLToiFNS3FFdqvl/tklmVWQUy3mUaPIolwspl4swySWY5OJTPtpOcyPB0YZ0R1cUnGwzLmucRiXYZ/gLk1TMtJJ7SHK2B8K3xqImHJKNtZHzmFL6d3Vb5TYPGjaRYupId+vwU1ZYeC0WxxpIWBzX7q9zEiMYfGctw3EN1SQsAPbr17uFhW0Yf7i+PmUGC4kOt8WiIYRFsJGAvITTYhHsdXNMtw/wz67stX7uN6xjhPlCOtr6Y1RisNRgAWvpGJQo1eoYLmGhCXK4F3Ieiwa2WAAcMGzEVmYhXkkj3dH1lJqIaAkIYdEA9LKMZkLZ9cjIlMoFbIpYyH79uprDKLokopQ44pQUYp0pxDlTiFVSiXUmE6ukEK3Eo3dFkOzMINmZUWO7VsnkFhlSMSa5BKtkwiqXY5HKsMomLFI5Vqkci1zueW9yR404RR7gjU1v6+mAO5OuWQ4tXGCoHNXvYa9hLb2so4DwzDbXxSH9ZjXBVXVt7tP/xUjTNDLsfTAqUVjkmhfztkZ0ipFkj9DzDp7CzYKY/3BW2dVsjvgtLPX5ZWAOg7Dw9f+vTJZ+OzbJQoySRDt7T47q99S7vZZAorMNAAXa8AgL3xCjoS7iD3VQ6cV/jUVw9x53SNEiopV4dZt3sJqvPUqu9hBpjs70toxmU+TCevWzueKdkCyTi+o9YfhH5NcMNU9hdeR3QZVrzsLCIdk4YFhPb+sY+lnOEMKimSGERZjpYh3CxLLrkZDZbVjDsuhPsEvW2gtJLso1RZRriqodcGhcOo/ISCbWmeL5m0ykEkeUEk+UEocWPQZXJAZnJAmkB9xfBadbgEgmrLIZm/e9ZMIqu//afPZb/faXu03mQphUxQXdrSMA1OhJjc1ew58VwqKB1lj4okhO8jVH1BnzygOKQm0OeZpskp0ZdLUNY4dxeYP3qTnhnRQokwsaTGiWaQqYH/dq2Opz1jOfQWV8Z9Ora2uPYQ39LWfRz3LmKSQswusK5Zs8TuPShVRFqAt3vYTqRgOABMe1e+luG6Fu8nWt2mFcTlpZZ/pazmBTxG+tMllejDMJgFKfEM2hsilyIZsiFgb9nPYG3LBTx/ilEg29eNvLNuMyelvH0MM6ktVR32Fq5Mk7Qc0IYRFGYp0pqqjYblzG71GfhuWm55TsFGqPU8jx6g9wgd4V4REacUS64olQojC4ojAoURhdUarblfuve5sGHTIaIlwxbrNrCGNPJw42RPzM2qgf6vclWxmJzrbEKsk4sJEVjiRoIXBcu199b2ykBdN52mwfYVH12t9tWM0Y0+X0M5/JDsPyU0qUpjjcwuKkJruJexI4fhaLMIjT2oQFwHbjcvpbzqKrbSgRSmyjW/oaG70SQbSSAIRRWAAbIxaQbu8a8r3HWc9Zcr81FiFcN8d0lYSFzyz4Xv1fnC5dRoKSThfbYA4awhu2uTkQoyQC7kmIsBDCfbZQe5xP4x8M+n8w1AR5wZKrO6i6fg4wT+TPqLmN0q6gboSwCBcuGF92DQZXJMe0+1ge9XnjzaRIbt9lm2ymiAAjSLhwWzmUSPSuSAyuCLfFQ4l0/3W5txvV/ZF++/WuCDRo0aBliHkKWyIWn3KuLbXRyTYAcOdvaKq1L74RZiJc0Y3Spm9oxOoGFLuMf3Ca6SJSnR1Jc3RxZxo+RUh2dATckbRaCs4QE53VRG1rLADytIfVwcIg8yTWRM2pd5vNGW/ywXKpOKxRwlZFfVOv8vV2hapnHoxc7SG/z77WT7tsYYtxCSPMFzDcdL47f0srm6BQLRaa/DqObFiKtMFHpApX0s9A2BSxgDal/2CgZSKbIxa12jU3LQ0hLMJEV9tQMux9cGBjUcx7jWYODBnJHfnDobFRTlHw5T3C5OKi+0l1dqK3ZSybIheEvZstlY4eYZGl39rEPWlcfDO9Vpc7wyKXs9fwF32sYxhsPocFuncas3tNitdi0ZKyBtd3gFiZA4aNjDBfiFkqq/GY9RE/c0HpnQywTGBjxAKsrXjCIs6ZAviH9W0O1NsVqp7PvzztEf8NlYTDlohFDDJPItXZie62Eewz/FWv9pob0R6LRWm4LBaNSEMnyPPlgH4judpM0hydGG46n5XRXzZa24KaEXkswoFL4jTTRYDbBF2iqb9fZLNHci+g2hbxOwADLONFLg4PWpdedQfKbCI3qKbCP0xl9QPRTRELcaHQ3TacJEe7xulYEyO7NCR5fOlPZYtFnvYwX8Q/wqcJD9R4TKZ+Cyc1h9G7jAw3XVDvNpszsR5h0dyeGSU+iRFDwV+QBu8K5ZTsNSZTBLDIZWyM/BWA08svCzqUanMnRvGusWhai0UoNOqkqgRrPIvSB1jGk+yoObiNoPEQwiIMdLIPINHZFqtkYmPEqTVrv8fwJ+VSMbFKMr2so5u6O82CNHtnNGgpkwsokev3gK4v9Y1HH3R7Pm5fNWX7LtAeZb9+PQCnmaY3Sr+amjhnGhp02CQLJWFYkNlY+EeFCk8AgHzt0dqtEFKFK89AywQSW7H4jFM8wqKJ7xOVydEdYEXUl8yPfS2k8vXJY+GlxiiKHjZGLKBYPkmMksjYshkhtdFciXF6LBaalmexUBrRYgGQrd/JPv1fyGiYUHo9GpdwxGlqhLAIA4M9SdC2G5c1bBK0ZohTsqszR8NM54t/atwZYwGOafc1ue9vXT7t4cY3AlptA4q1kfNw4qCLbbC6HqU1k+DJoluoyWlRUWx8o0JJjXgxZ+t3ckC/ERkNZ5fegNxK7yuxTndY0eJ6Wggagi0Ri8jUbwmpbDjCFJul2v3lnZKdJdEf4UKhr/UMulqHhtROc0N2aYlyxQNQ1gItFk0RnWlF9JeYpVJSnR0ZW35Fo7cv8EcIi3oS60ymvb03LhS2Gpc0dXeahO3GZZTJRcQpKQw2n9PU3Wly2trdwuJ4A+UqCAZrIwsLX4tFbdFgCrU5aq6FM8uuxqhENXjfmhKvsCjS1BDZrZni6woVarK1UFkW/SlmqZQUZ0dOL7+0UdtuLCpcoZqfsKgP/tmXQxMWFrnmdThejup3syHCPbE1sex6UhwdQmqrOeGNCGXHikVqeeuLthmXsU+/jsXRHzZamya5mN9i3sWFQn/LWfQ1n9FobQuqIoRFPenpyROQrdtFmaawiXvTNDgkG6sivwbcVot4Z1oT96jpkFwS6Y6uABzT7a/j6IYnnJFmAsHfYlG768y6yPkUyjnEKIlMKLs+HGkSmi3xvhaLFoTvIt7GthqY5GIWx7gHJ4Msk+hjGduo7Tc0kktWfembmytUffEPUxyisAhwUL02ch7Zul3oXRFcWHwX8Y7A8zg1R6I9blBlmoImt3iHgiI5WBD7DruMfzRqu4f1O1gb6Q57f1b5VfSyCNfspkIIi/rggp4Wt7BoqiRozYW9hrVk63aiw8C5Jbe0WteFuoh3pmNwRWLHSr7mSN0FGphiuXGjzfhZLOpQCnbJyoLYd3Bgp4ttMCNNUxu6e01GQgsVFr5WJ7kJHheZ+i2si/gJgLPKrqGbdVij96GhiFYS0KDFiZ1yuaipuxNWnGEIORqIxQLc6zl+jnmDE5osIl2xXFL8AOn2rvVuv6mIUuIAd9ZtQXCsi5jPFuNiJGQmll3PUNOUVj1h1VwRwqIeJDjbkKCk48TeKpP0BIUEi6LfV10XxpVfcUr+Q3tN8Xna7EbJdl0XK6O/5IhuFwtiGiesq2+W1kAW++Zps1kR/TkAI8xTGeRZr9TaiFddoVqWsPClsV2hvPwZOZcdhuXIyJxTegsDzBOapB/hxru+olQuCHlWv7niu4BXcoU2zAgmYaBdtvBj3Mvkag8R4YrhouJ7GWCe2CKfQVFKPAAmISyCR4IVUV+w2bgICZnRpkuYUvoPIpXYpu7ZKYUQFvWgs20g4E6C5usCcqpSriliUcz7APS3nNWqZ6BrIsXpFhbNJaSoSS7h+7gX2GdY1yjt+VospABvLzuMK1gT6c6aOrZ8BqPLLwFXC/QBqAGjEq0mKCzS5DZxb0KnyayQEvwe/QnbjcuQkTmjfBaTSm9Ar0Q0TX/ChDfjdlMnQWsIfBf9hypIdxtWscW4mF8DnBQxy6XMjXueg/qNaNFxRvlMppXc0+JCkEa63BaLcrm4iXvSQpHcE2pLoz7GiYOutiHMKnyKgeaJaFy6pu7dKYEQFvWgk0dYHNJvbtqONCOy9NtYFvUZ4J6BPq18eqsaJNZFippdOauJe9I02H2EhYbAb+LrI35ibYTbP3aoeQoXlNxJlDM+3N1rErxrjkrkvCbLwh4ONE1ksQC3n/7vUZ/wR+Q3KCj0so5mVtGTbj/qFnp/8SZBK5Nb39o8JxXhZkMVFi7JxYroL9gfxKSIQ7Lxc8ybLIv6DAc2Muy9mVE0mwml15PoaBtSPxobryuUSRLCoj7siFjON/FPckKThdEVzbjymVxd+ByDTecSocQ0dfdaNaemI3wY0CsRaljRzFMsu3JdbItYit5lZLTpEoabzyfBmc7S6P9hlU1N3bWGxYU6O9ZcLBaNja8LRFChhyX4K+oHijS5TCi7jk72AcwsepK1kT+w3bgMJQw+201Fa4n80+QJMCXYFLmA47p9TCq9gXgljUllNzDIfDYbIxaw37CucZNz1ROvxaI1Cgv/kMqN7I8kuZ9BWfqtjC6/hO62EfSxjqGPdQyHdTvYbVjNQf2mZhsaPlIRFotwkafN5pv4J+ljHcsw03nEKsmMMV3GKNN0svTbOKTfTKZ+KybxW4cVISxCpK29BzIyhZrjrdKUXV82RP5CuVzE+LJr6WYbRnpRN1ZEfc4B/YYWGekiEKKVBCJcMThxUKA52tTdaRp8zq02BLPzXuOf5GkPM7HsBtIcnTijfCaDzWezMeJXdhvWNNvBQG3EKm5f+paUGK86mmqNRWVydAf4IuERBponMsx8PinODpxTdhNjyi9nr2Et+w3ryNEebPb5QiqERctLghYIm4wLiVGSOKlpmkmWEk0eC2L/wyb7bwwxn0sX2xA62PvSwd4XB3aydTs4rN/JEd1O93qOZvJcEmsswotLUthhXM4uwyp6WUfR1zKOdEdXutgG08U2GIA8zRFydPs5rt1PrvYgRZoTzWKNZEtFCIsQaW/vBcBR3Z4m7knzZbdxNYWaHCaV/Y0EZxumlP6dXO0h1kbOI0u3vdk/+IMlydkecC/QDUdUlJZPaE/qAu0xvo17ij6WsYwwTyVWSebM8qsYbbqU/fr1HNRv5LB+h58fd3OmwmIhhEW4cEoONkYuYKdxJf0sZ9HfchbRSgKDLWcz2HI2ZXIRR3S7OKbby1HtHvei+WYycPQS1YpdoQD+iP66qbsAQK7uIL/q3ibGmURv6+l0t44g0dmWzvZBdLYPAqBcKiZXd5CT2ixOaLM4qclyR+pqgmumwmLR+InmWjOK5GCncSU7jStJdLSjq20InW0DSXN0IdnZnmRne/pxJgBO7BRqcsjXHqVAc4xiTS4lcj4lmjzMUkmzu5c0N4SwCJG2jp4AHNUKYVEbubqDfBn/GMNM5zHIfDZpjs5cWPJ/FMsn2WlcyQH9Bgo1x1vFP6rXh7eghSVBCzcbIn6hvb03+w3rQ67DJSnsiFjOHuMa+ljG0d9yJonOtqpLgx0rx3T7OK7b55llOtRsrRmxaq6CFi4smtoVqhoscjnrI39iY8SvdLT1p5ttGJ1tg4hW4ullHUUvT54hq2QiT5NNntb9KtLkUCyfbLLBI0C002OxOEXzHzU2pZp8/or8kb8ifiTJ2Z5OtgG0t/eijb07Ua44vxlscF8zRZocCj2vIk0OpXI+JZp8d1bwBpgY07h0GF3uZKHCYtFwFGiPUqA9yrrI+UQoMbSxdyPd0Y029m6kODqgw0CyM4NkZ9WF/3aslGryKZHzKJMLMclFlMvFlMtF6sskl5zSFg8hLEJAr0SoYUWFxaJunJKdtVHz2BqxhKGmKfSxjiVOSWGUaTqjTNMpknPJ0m/juO4AudoD7gFYCxQaCc42ABQGESaxNbI66ruw1eWQbGyNWMxW42LaOnrQ1TqULrbBxCrJdLT3o6O9n3psiZxHgeYo+dqjFGpyKJXzKNHkUyYXNKnvvddiUdrCLRbHm0HCx5pQJCeHDJs5ZNiM7NLS1t6ddvaetLP3JM3RBYMrknaOnrTzTAh5sWOlWHOSEs0JSuUCv8FBmVxIuVyETTKH/X4kuzREubz5ClqnK1SzRYJ87RHytUfYwC/ILi1pjs6kOjqS6uhEiqMjCc42GFyRpDm6kOboUqUKB3bK5AJKNfmUygWeAWaxz6sEk1wcdLRIb1hUB3asUitfk9hMMMulHDRs4qBhk3uDSyJWSSLR2Y5ER1sSnW2JdSYTqyQTrSSgw0Ci0729JlwomKVSyuVizHIJZrkUs1Tm/iuXYpbcfy3qX1Or8uAQwiIE0hxdkJEplk9Qrilq6u60GMxyKX9Ef82fUd/TzTqcHtYRtLf3Il5JI96SxkDLRPdxUikFmmMUao97ZopyKZMLKJOLsEilzVZ0eIVFgfbUtlg0CBIc0+3lmG4vK11fkuRsT1t7D9p4ZplilWT11ck+0K+oC4UyuYgyuQCzXOJ+6Esl6sPfJJdglkuwSCZskimsIsSdXdnt8lLcQi0WHyfcS7q9G/sMa5u6KwGhSA6O6HdxRL8LcA/iE51tSXZkkORsT7KjPXHONGKUJM/MpNsNoiZsWPwGBxa5FLNchsU7UJBKschlnn1l2CRzndeQ14/egR2LFFgiOEHDoEgOt+VTt0/dpnFpiXOmkeBMJ8GZTrwznXhnGjFKIlFKPFp07ueWklZr3d5rRx1geq4Ri1SGRS73/PVeS+VqpLCmtKSd8kguSjR5lGjyyNRv8dsluzREK4mq0IhS4n1ecUQp8UQqcchoiHTFEemMgwAeJwrOivuJ5z5j9V4fUjkWuZx8zRFO6DIb5juHmUYXFnq9nmefeZrzzz8PSZL4ft48HnroERyOluOTnuboDECO7mAT96Rl4pBs7DauYrdxFTrFSAd7H9rae5Lu6EKKoyMRrphqZxcBT5Zat9mx4uZc7vkndP8DWqVybJIZu2TFLlmxSRbskgUn9oa7WbtQZzAKT3FXqAbHZ8ZxG0sBMCpR6gxTkrM9cc4UYpVkYpxJaNEToySqA/y6sEkWrFI5VsnkubZM6jVm9YgP7zVl87wq3ruvO68ZPFpJQEaDE0eLza7sfci2VBTJqbpA+SK7NMQoScQ5U4lzphKtDhASiFLiiVYSMLgi0WNErxiJU1IDbtOGBZtswiqZsEpm93UjV7w3uNw5OMrkAjGAbIY4JYfqLlMZ2aUhSoknRkkixplEjJJEtJJApBJLhBJLlBJHpBKHDkNI1w4gohQ1UxTJSYnmZO0R/lwSEa5oVXBEKDHulysGoxJDhCvab5vBFRmQENlm/F0Ii5p45OGH6NGjO2ecOR6XS+Htt97iwQfu54knn2rsroSMV1jkag81cU9aPnbZwgHDRg54MpdrXFqSHO2Jd6a7M5s709WHfqQrDg06dWY6WBQU7JLFIzgs2CQrdiw4JCsOyY5DsuHA/depfrb57XNKns++2yUbOpcBoysKFwqFLTi7ckvFIpdzTHZbNPxwQYQrllhnsmc2KZZIVyyRSpw6EPBu03sGe3qXEb3LSAxJIffHjvsa885cl8r5rcrU3RpQJCfFmhMUa07UeIzWpa9mcBCtDg68AwX3NvcgAVAHlNHULmZLNcINqqWhSE63C5Qmn9pS9ehcBh+h4b7nGD3XitEV5fkbjVGJcv/1rK2A5u12KKgDyaW6OuWRXefhskuj3lsilBiMrhgiPNeEwXttKFFNFl0tFBpVWEiSxJVXzuKyy2eQk+MefD06ezY/zf+Rp55+BkVpAYtdXJBmd/tc5mqFxSLcOCUHJ3SZ1Spz70yR92VwRao3Zfc/YBQGVxRGJQq9y4jOZUDnMqLD4C6PjMEVqT78G4Ji+WSLiVZ0SiCBWXK7OtV5qKvi+jAqUZ73URiUSM+1FYlBiULvivBcX0a/v3qXUU0KqMOAzmVQQ/jn6sQkREvEIdnqFB++SC4ZvSvCc+1EYFDc15Pec115PxtckWhderZELG7gbyBoKuySFXtds9s+uO8/UehcevdEhOCUQJGclGuKKKeoqbsSNhpVWHTp3JnIyEg2b67wW9uxYydarZaePXuya9cuv+P1ej16vV79HB0d3Wh9rYkzymcR5YpDwVnFtC5oWPxmioJAckloXQa3adpXcPj81br0aF06tLj/alx6tOg82yv2aVyebej83mtdemRk9rYQP3RBVVyS4navo4ziEAMgyS6Nj9hwCxCNSyvcJk8RXJLidqOjvKm7ImhhuO8/pTTP2HYCQeA0qrBISEykvLwcu91/RreoqIiUlJQqwuKfd97Bvffe05hdrBNvOLqT2sM4JFsT90YQCC7J5XaBwoKJBvRddUnC3eUUR5Gc7rU+YmApEAgEglOQRhUWLlf1gy5JknBWs3j71dde5+13/qN+jo6OZvu2LVWOa0w2GxdjdEWJmWlBVYSoEAgEAoFAcArTqMIiPz+PqKgodDqdarWQJIm4uDhOnKzqh2iz2bDZmpdVYFPkgqbugkAgEAgEAoFA0OyQG7OxzMwsCgsLGTiwIs58v359ATh8uOWseBcIBAKBQCAQCAT+NKqwAPjoo/8x+9GHSU9PJzU1hcdmz+bbb7/Dag0uQ6VAIBAIBAKBQCBoPjR6HosXX3qZ2Lg4li9bil6v55dffuWRRx9t7G4IBAKBIAAkJFyI9UMCgUAgqBspKTm1xTwxoqOjyTx0gE6du1JWVtbU3REIBIJWTbu4dnw86398s+kb3l3zXlN3RyAQCATNnEZ3hRIIBAJBy+AfY/9OfEQ8N42+qam7ImhBSEh0Te6KhNTUXREIBI2MEBYCgSCsiMFE60Gn0TV1FwQtkFvH3MrX13zF7eP+0dRdEQgEjYwQFgKBIGz0b9OfpX9fwrT+05q6K4IwoJOFsBAEz/UjrwPg6uFXN3FPBAJBYyOEhUAgCBvPX/AcMcYYHj77oabuiiAMaIXFQiAQCARBIISFQCAIG0adsam7IAgjOk2jBw4UCAQtmOkDLuKtS94iSh/V1F0RNBFCWAgEgrCh1+ibuguCMCJcoQQCQTA8OOlBRnYcwaWDLm3qrgiaCCEsBAJB2NBrhbBoTWiFxeKUREIiPiK+3vU4nI76d0bQIhHPglMXISwEglaORtY0WluyJG4prQlhsTg1eXzyYyy+bRGD2g2qVz12xR6eDgkanQhdBF2TuoZc3mq3hLE3gpaEGAUIBK2Yl6e9xE83zidSF9nUXRG0QES42VOTKX2mAHD18KvqVY/NYQtHdwRNwAcz3ufra79iWMawgMv4TmKZ7eaG6JagBSCEhUDQihnXdRwp0SkMzRja1F0RtECEK1TLw6A1cF6fKcRFxNW7rjJreb3K25yhC4sYQwy903rXq/1TnUhdJK9Pf52p/acGXbZHag8AJvWcGHCZaH20+t7qsAbdpqB1IISFQNBKiTXGqu9LraVN2BNBS0Urh1dYyJIcFt99Qc3868y7eHzy4zx73rP1rqusnveN+giLz6/6jE+v/IQh7YfUqw+nMteOvJbRnUfxyNkPh1xHsaUk4GOjDRXCAkkkSj1VEcJCIGilJEUmqe9duJqwJ4KWSrhdoV6e9hKLb1tEp8ROYa1XUMH0gdMBGNFxeEjlfc95mbWsXn2xO0NfY9E2ri0AozuPrlcfTmVC/T/zvQZKghAWMYYY9X0wkxIxhhjuPutf9EztGXAZQfNFCAuBoJWSHJ2svm/sMLBOxdmo7QncdEjoQE+PC0M4CPfi7TFdxgAwpffksNYrCB8JEQnqe4sj+AW4vgPKUIWFQWtQ358sOxFSHQJIikqq+6BqSIxMVN8H49Lka7EI5t7x8NkPMWPIDP572X8CLiNovggHWoGglZIcVSEsGju6T31cIAShoZW1zL1+DgBnvHEm5bb6+cdDeBMe+rrmHS05FrZ6BdUT6vlPiKwQFqG4wkUZKhKj2UIUFumx6ep7k00sAg4VX6t1MCT7CJJgLQ9quSDWZ03oMQGo5EolaLEIi4VA0EppH99Ofd8YGZR9Z8pLLWJNR2PTt01f9X041jGkxaT5uURopPqFLe7s45Yh8hs0DL7nKK8sL6Q62se3V99rQ3CF65decR2G6mWfEZ+hvhfZ30MnxcdqHQzt4kJ7dnRJ7lJRLszrswQtByEsBIJWiEbWMNnH3UTXCK5Q5/Q6V30v1nQ0PhO6j1ffh2NthG99UP8IUd5ZSQCDSJ7VIIztOlZ9X2AqCKmOc3qerb4P5To6q/tZ6ntNiIPL8zzhbt19ENdKKGTEZ/i5lAXDxJ6T1PfB/P7jfe4Zgd4v0mMqrFM5pbkBtyVovghJKRC0MhIjE7lvwr10SOigbmvIfAQaScO0AdOYOfQKdVu4owkJamdK78lcNvgy9XN9B+6D2g3iptE3+W2rj8ViQo8JXDaoon9isBh+2sW14+6z/qV+DiUx5nl9pjC+h49ADfL/+Iyu4zi/7/nq52DvAwatgb+d9jcm+Qxs9SKXStBE6iJ55JyKSFDBrHWZ0nsy433EYaButDeOusHPah1IOVmSuWf83erngvL8gPspaL6Ip79A0AqI1EUyqN0gJvWcxMSeE4jQReBwOtRZo4ZwJ8iIz+CMbmdwycCLVfeJLce2MrDtACEsGgGNpGFc13FcNvhShnfwjwBk0Ia2NqJ7SnduPO0GdXC58chGNdynVqOFIF3m28W145bTb2Fy73P9tovBYvjQylqm9Z/GP8b+3c9HPZiADUatkVtOv4Urh83y2x7ohIRG1nDN8Ku5adRNaGUtWQVZdEzsiDYIcTOp5yTuGHc7bWLb+G1v7MATLZ0eKT2Yfe5s/0F+AOdRlmRuG3Mb1464xm97Xc8OrazlwUkPcGG/CwFwKA60srZOi4VRa+TxyY9xRrcz1G2hWlgEzQvx9BfUilbWEmWIIlofTZQ+imiD+6/63lDx3qk4KTQVcKLsJAfzDnIw/2BIUUUEdWPQGhjUbiBDM4YxLGMofdL7+A3md+Ts5IWlL3D1sKsY32N8WGaIZUmmf9v+nNF1HGO7jKVzUmd1X5G5iI/WfsTKg38w9/o5IrFaA5IclcxFA6ZxUf+LSI1JBdwP8w/+/IBzep1Dp8ROQQ/Geqb24IbTblDdWBSXws87fuHfS//NyjtWAMFZLNJj0rlu5LVM7TdVvRY+WfcJccY4pvafil4MIOqNLMlM7n0uN466SV1PteXYVr7b/B1PTnki4P/50zqexgOT7lf96j9b/znF5iL+PvbvAQ1IuyZ35bFzZ6vJ7H7a8RNzt37Ph1d8ENB9oHNiZ+6dcI8qjnNKc3l12asMbj+IywdfLqxbAWLQGrhp1I3MGjYLrayl0FTIw788zFuXvAW4xUVNlosofRRPTXlSdaX7318fIwHXjLim1t8/2hDNvy/4NyM6DsepOHlh6YukxqRy/cjr0NZisUiLSePlaS/RM7UndqedbzZ9w6xhs4KyrMcaY0mJSiEhMgGtrEWSJEx2E8XmYorMRRSZiwKuSxBexNP/FECn0REfEU+sMZY4YxwxxhhiDbHEGmOJNcYQY4wlzhhLjMHz2RCjCoj6RoXJLMhk45FNbMzeyMYjGzkhQgeGhEbW0K9NP0Z2GMGwDsPo36Z/lZvwkaKjrM36k593/sLWY1sBsCvuB0moUaEidZGc1mkk47qOY0yXMX6Lgh1OBxuObGDpvt/5ecfPWBwW1V9WWCzCz7CMYVw66BLO6HaG+vsWmAqYt3Uec7d+T05pDmO7uAcGgbpC9UztyY2jbuDMbmcCbkGxeM9i3v/zAw7mHwRQLV+BDBLbxbXjupHXcn6f89XjVx9aw1t/vMWeE3tUVx1hsagfZ3Y7k1tPv5WunsWyeeX5fLT2Q77d/B392/QD6v6NY42x3HXm/6muS8dLjvPc4udYdWg1s4bOBGp3WZMlmauGX8Uto29Gp9FRbC7mhaUvsmD3AjUfQW33AVmSuWb41dw8+ma0Gi0Wu4X//fUxn67/FKvDqgYj0GvFtVIXp3cezT3j71UF5qI9i3jx95f88pDoNfpqhUVGfAYvT3uJzkmdsdgtPPnbUyzcvZCbRt0I1GztaBvbllenv0KXpC6U28p58KcHWXVotepCWdP9ol+bfrw49UWSo5LIL8/n3h/vxeqwMWvYrFonHAxaA2O7jGVijwkMaDtAnVSpiXJbOYcLD3O48DAH8g6wM2cXu3J3UWwprrWcoP6Ip38LRiNrSItOo01sOumxbUiLSSUxMpHEqCSSIhNJjEwkKSrJL8xjqJhsJspt5ZRZyyi3lfu9L7O6P2tkDYmRCbSJbUvXpC4kRyfTKbETnRI7MX3ARQAcLjzMusPr+CvrL9ZnbxD/5LXQLq4dY7uMZWTHEQzJGEKUPspvf05JDuuz17M+ewPrD68npzSnSh02h/tBEszDWStrGdNlDBf0PZ9RnUah9xmkFpuLWXVoNSsOrGBN5poqIS0dikOtQ1B/DFoDk3tPZubQK+iSVBFxZdORTXy35TuW7vvdb7DgDfOr19RuEWgb25a/j72Nc3qdA7gFxW+7f+ODPz/kUMEhv2MdiltY1GaxiNJH8bfT/sbMIVeoA4q1WWt5f80HbDq6yad/HqErZqFDYkSHEfx9zG3qoLvYXMwn6z/l641fq9bhit+45v/5UZ1GMfvc2SRHJaG4FL7a+DXvrHoHs90d2tV7TdW0xiI1OpVnzn+aQe0GAbB8/3KeWfws+R4f+bruA8lRyTw55QnVSrHiwEpeXPoix3zCENsdNs/3ENdKTaREp/CvM+9iYs+JgPuZ8NyS5/nj4B8ASD5xuaq7Hga2HcBL014iPiKe3NJc7v7hHnbl7gJ8r6Oq57BrUlfeuuRNkqOTyS3N5f++v4u9J/cC4HDWPJl1RrczeOa8pzFoDew9sZe75v2LnNIcuiZ1BaoXwxISlwy6hBtH3eCXXwPclvL88gIcih2Xy0WkPpI4YxxxEXFE6aPondZbtaR5OVJ0lJ25O9mVs5MdOTvZnbsbk91U3c8rCBHx9G8BpMWk0SmxE12SutA5qTOdEjvSNq4dKVHJAS/QcygOSiwllFpKKbYUU2oppcRaSomlmBJLKSWWEvd+a6n6t9wjGEw2E05X8AnP4iPi6d+mP0MzhjKk/WB6pvakQ0IHOiR04OKBF6O4FPae2Mtfh//ir6x1bDq6KahkPK2RDgkdGN99PBN6jK9yQyw0FbpF2eF1rM9ez5GiI3XWF4zFIikyicuHXM70ARf5WSayCrJYcXAlK/avYOuxrbVeC94BhUbWICGJ6FAhEqWPYubQK7h00KXqw7TcVs6vO3/luy1z2J+3v9pyVs9gTF+DxUIjabh6+FXcOOpG9Fo9ikth4e7feP/P98kqyKq2jDpIrGEGclzXcTw46UE19v3qQ2t4b817bDu+rcqxNk//RFSo4EiJTuHe8feormomm4kvN37Jp+s/q5Id2ysuqxtISkjcOOoGbhh1A7IkczD/IE8ufKrKubJ7wgFXV0ff9L68NPVFkqOTKbOW8eLvL/HTjp/8jvEmyKzu+dQ1qSuvXfwa6TFpmGwm/r30hSrl3d/DMykirFvVcl6fKdwz/h6iDdE4FAdfbPiS99a8p4pDcEfn81ocK5/LMV3G8PwFz2HQGth2bBt3/3AP+aaKxdP2GgRCz9SevHXJm8RHxLP3xF7u/P6fnCw7qe6vSVSO7TKW585/Fp1Gx4oDK3j450fUAb3V6X7uV3bhjNJH8dwFzzKq0yjALZx+2fUraw6tYfeJ3X7f1RetrKVdfDs6JXSkU2Inuqd0p3dabzomdqR9fDvax7fjbE+AAMWlcCg/kx05O9iZs5OdOTvZl7evXlnjT3WEsGhmJEcl069NP/qm96Vfm770Tutda9IYq8NKTkkOOaU55JbmkleeT0F5AQWmfPJNBZ73BZRYShp9kFdkLmLlwZWsPLgScN8khrQfwoiOIxjRYThdk7vSK60XvdJ6cfXwq7E5bGw7vo2/PBaNnTk7QxI0LQ2j1sjZvSYxrf80BrQdoG53KA42Zm9iTeZq1mb9xb6T+4I+h3bPIKO2ePRxEXHcPOompvWfpg5IT5Se4Jddv/LLzl9Ul5hA8D5U3G1qxc05SDSShosGXMTNo29SE5UdLznOVxu/Yt62H+pMembzCPPqBu7t49vzxOTH1Wvsr6x1vLbiVfac2FtrnTUNFLSylrvOuovLBl0KuAXoy8teZtWh1TXWZXeKWehgkJCYPnA6t4/9h3sA6XTw7Zbv+GjtRzWGk7WrA3L/31gjaXjo7Ie4sN8FAHy7+TteWfZKtcksvRMSle8bQ9sP4bXpr2HUGdl3ch//mne3n5XBS03XTN/0Prx58ZvEGGM4lH+Iu3+4h6zC6gWtOikirhU/Yo2xPDDxfjVy1tZjW3lm0bM1TjbYnDa0Gq3f9TA0Y6gqKpbvX86DPz9UZVLP4f39fe4l6THpvDb9NeIj4tl2bBt3zL2TUqt/zqIKUVpx7vu36c/zFzyHTqNj4e6FPPLLoyguxadM1Ws2UhfJGxe/zoC2A7DYLby+4nXmbJ2ritbacCgOsgqyyCrIYvmBFer2GEMMvdJ60Se9D33SetM3vS/psel0Te5C1+Qu6v+GzWFj38l97Mh1C429J/aSWZApEr8GiBAWTUyMIYbhHYYxsuNIRnY8zS+pmReH08HhosNk5mdyMP8QmQWZHCk+wvGS4xSUF7SYWeFyW7mf0EiKSmJ4xnBGdBzOiA4jSI9NZ2jGUIZmDOXW02+hzFrG5qOb2XZ8OzuO72Bn7k5KLCVN/C3CR9vYtswaNpPz+pynikeH4uCvrHUs2beE5fuX13sBmvcmX92snyzJXD74cm4adSMxRnfG1C1Ht/DJuk9YefAPvxt/oPgmPtPKQlgEw+mdT+fOM+5QXZ4yCzL57+p3Wbp3acACuyZXqGEZw3j+gueIi4ijzFrGC0tf4OedvwRUZ3WzzzGGGJ6/4HlGdHS7sny6/jPe/uPtOs93Rf/ELHRddE7szENnP6i6G207to2nFj3NgbwDtZazOapaLGRJ5qnznmRSz0k4FAfPLHqGH7fPr7EOVQD6zFYPbDeQV6e/ilFnZNWh1Tww/4EaXUi89wFfYdEpsROvTX+NGGMMm49u5q55/6r1fu51hRLXSgXDOwzn8XMfIzUmFYfTwX9X/5eP131S673aXsk1rktSF16e9hIGrYFl+5dx34/3V3t/qewOF6mL5LXpr5IclcTeE3v5x5zbq53oqCwqkyKTeP6C59Br9Szbv4xHf5ldpb9eUaPX6lVL98NnP8SAtgMoNhdz23d/Z8+JPUH9VtVRai1l3eF1rDu8Tt2WFJnkFhqeV9/0PsRHxNO3TV+/pKNOxUl2UTYH8g5wIP8gB/IOcDDvIEeLjwrBUQkhLJqAlOgU1d1lYNuBfg9sp+LkQN4BduTsZHuOe0CdWZDpNxPcWsgvz2fB7gUs2L0AcC8iG9FhOMM7DGdYh2HER8QzpssYxnQZo5Y5XHiYnTk72XNiDwfyDrI/b3+LWxDePaU71wy/mok9J6o338OFh/lh2w/8tONnP3N0fan8UPGSFpPG4+c+xrAOwwDYc2IPryx7lfXZ6+vVnu91qtPoajRVx0fE0yGhA+3j2hFjjCVSF4FRZ0RxuXAoDhxOOya72cdVz/3X68bXUsR0IHRP6c4/z/gnIzuOANwub++ueY+5Ac7O+WKtxtVoYo+JPDXlSbQaLVuPbeWBnx4kN4hEVJUHCjGGGP5z2Tv0TO3pWbT5EKsOrQqoLlVY1LBIUyNr6N+mP33T+9AxsRPt4toRa4whWh+NQWtAwYWiOHEqTspt5ZRaSym1llFqKaHUWkahqUC11Oab8sgvL6DQXBj079iU6DQ6rhtxLdeNvA6dRofJZuKtP97m283fBiT21dlfn2vg/878Pyb1nITNYeOBnx7wm8WtrQ7vrHOb2Da8NPVFInQRrDq0mnt+uKfWwVRl97k4YxxvXPw68RHxbD++ndvn3FHjvcGLrQbLy6mIRtZw6+m3cvXwq5AlmayCLB7+5RF1PURt+FoDjFojz13wLFH6KDZkb+DBnx6qcdKi8lqdf55xJ12Tu3Ky7CT/N++uGq2n3va0Gi0SEk9OeZLUmFQO5h/k0V9m1ypivO1N7n0uZ/c6G4fTwf/NuyssoqIm8k35fhOe4F7f6BYZbq+RbsldiYuIU9eMTqAi2afiUsgtzSW78AjZRYfJLjpCdlE2R4qOkFOSU6eVuTUihEUjEaWP4tze5zK597nqDJSXg/kH+TNzLWuz1rLpyKZTdiFRdlE22UXZzNk6FwmJHqk9GNRuEH3T+3oGGh3VNRrn+sTFL7WUciD/AAfyDpBZkMWRoiMcKTrS7GYShmYM5Zrh1zC68yh125rMNXy2/jP+ylrXIIPl6lxPRnYcybPnP0OsMRaTzcSry19l3rYfQrJQVMbPFaqSG8SAtgOY0nsyIzuOJCMho15tFJmLKTIVUmgupNBcVPHeVEShudDzuYhCUyHFluKwfLdwkxyVzK2n38IF/S5AlmRsDhtfbvySD9d+FPLDyFbJV3l897N46rwn0cpaFu5eyOMLngj6f8I7KNfKGtU9oWdqT/LK87l9zu3sO7kv8P45qveb75Xai0sHXcLEnhOrBCkIB4WmQgpMBeSXF5BvyqegPJ8CcyGFpgIKTUUUmAooMrv/1jXgbUgGtxvMA5PuV61WKw+s5LklzwclBL3nV5ZkNLKGaf2nccWQGQA8+uvsOkUF+K+xMGgNvDj1BeIj4tmZs5N7f7y3zmvIV4xKSDx6ziO0iW1DVkEWd37/z4B+Y3sta0W8SEi0j29P56TOZMS3JzEykYTIBKINMehk97oCd3kJh2LH5rBhVxzYnTZsDjtmu4ky32AknnWF7lcZZdZyymxllFnLmkycto9vz9NTnlJnz+dumcvLy14JOJS775qbeyfcQ5ekLpwoPcH98x+o9TzafQItnNbxNKYPnA7Aw788Uuv16D33OlnH1P5TGdFxOGa7mXt+vLfGsY2vG1abuDb884x/AvD2qrfVCIeNydHioxwtPsqiPYvUbUlRSXRL7krXpK50TXa/OiV2ItoQTZvYNrSJbaNacH0ps5aRW5pLTmkuuZVeJ8tOqs+o1oQQFg3MgLYDmNZ/GpN6TiRCF6Fu33x0M0v2LmXpvqVBPTROFVy42HNij99MRawxlt5pvemX3peuKd3omtSVjokdiDHGMKjdoCqCTXEpnCg7yVGP0MgtzSW37AQnS09youwEJ8pONLhrlYTEGd3O4NoR19DPEwbSqThZvHcxn6z7pE7/9vpSeebxwn4X8OCkB9HKWrYf387DvzwS0CLwYFATJHmExdD2Q/jnmf/0W4zuneU5UnSEQlMhJrsJi92CLMme5Eo6ovSRnpDIFa8ofRRaWUtyVJK6WLguFJdCiaWEQo/4KPKID1WE+LwvNBVSZC5qUAthtCGaWUNnceWwWeo94bfdv/Hmyreq9VcPBpujwiIwsO0Anj7vabSylp92/MTjC54ISbxWzD7reOzc2fRr048icxF///bvHMiv3S2nSv8qCd2kqCTuHHcnU/pMVo8pNBWy6cgmDuQfJLvwsNtKZS3D6rAgIaOR3ddIpD6KGEO0Ozy2MYY4YywJEYkkRiWSHJWkDjK1spaEyAQSIhPomty1zj5a7BZVZLjFacXfInMRpZYySqzuQBhqoIt6zkqmRqdyx7jb1QmTvPJ8Xlz6Iov3Lg66Lt/Z316pvbjrzP8D4PUVrwdcn6+l8+bRN9MztScFpgLu+fHegAJs+P7/zBgygzO6neGxljxIsTmwQZStGssLuCfpJvWcxOhOoxiSMcQv0ERDYrFb3CLE6hYaXsFR5ve5vNJn//3BuIYatAauHHYl1424FqPOSLG5mKcXPc3Sfb8H1W9vm6M6jeLCfhfiVJw89PPDFJoLay3nje4UbYjm4bMfAuCrjV+xIXtDQO25/7fvAODtP96pMTgE+F8vd5/1L2KMMezI2cln6z+v49s1Hvnl+eSX57M26y+/7QkRCWQkZJAR73kltKd9fAYZ8e2JNcYSbYgm2hBd673H4XRQYCrwvAopMOVXvC/Pp8hcrE68tgSEsGgAYo2xnNfnPKb1n6bGGQc4kHeQH7bNY9HexX5RFASBUWIpYW2W27LjRafR0SGhg3smIbkbHeIzyEjIoF1cO6IN0aTHpJEek8bQjKHV1mmxWzhRdsI9iDAVUmQuptBcSLEnwU6hyfPXXEiJpQSTzRTQ4Cw5KpkpfSYztd9UOiZ2VNv6ccd8Pl//OUeLj4bnR6kDm09kj2n9p6kPiF92/sKTvz3VIGsgHE6HZ+AXyYMTH1Bnusx2M4v2LGbJ3iVsPro5pMGYTqMjISKBhMh44iMSPO8TSIiIJ97z1/05gfiIeOIi4pAlmfiIeOIj4ulM57obwW0Fq84aUmYtpcwTKc1kK/d5b6LMVobJZqpxNrZdXDvO73s+lw++TA0BvfXYVl5Z9mq1EZRCweoZuLePb8/zF/4bnUbH0r1LeWLhkyFbxLwP/WuHX8PYrmOxO+388/v/C1pUQIWwMGj0DG43mH9f+DwJkQlqdKo5W+aw5eiWsFnvJCTiIuJIikwiySM2kqKSSIpKJCEikYTIeBIiE0mIiCcxMhGjzohRZyRdl056bHrA7TgVp9styxNtr8wbXc/ivl4sdjMmuxmz3ex+b3O/j9JHcmb3s5jYYwI6jQ7FpTBv6zzeWPlmlUWxgeL7P/3vC5/HoDWw6uAqPln3aeB1eBbu9kztSbfkbgA8sfDJgCfBfGf3/3nGnQC8vuINNSRpIHivFW+iteSoZP522t+4oO/5fvmVLHYLWYXuhbp55XkUmAoptZRgc9qxO+1+kfH0Wh06WYdOo8eg1ROhi6xI8qqPIsoQ7fkbpSaCjdRHAqjXRqATGtVhdVhV64j7Ve4nQCwOC07FSXJUMmd1P1MVTWuz/uKJhU+ENAnpvR5uOf1mAOZsmeMXAromvM+Ovul9AHcQiTdXvlVnOe/9oldaLwD2nNjL15u+rrOcxW7BqDOqEaCeW/xcs7Q0V8b9nCis1rISoYsgLSbN80r1ee9+JUUmERcRh1ajJTUmtdbcHHO3zOWZxc825FcJG0JYhJFB7QYxfcBFTOgxQU1Nb7Fb+G3PIuZtm9ckJr3Wjt1pdy+myjsA/Oa3Lz4invbx7Wkf15728e3d/7jRKaREp5IWk0p8RDxGnVF1rwoExaW4B5GVZqVKrWWUW8sw6oz0TO1J1+SuyJIMuAep32z+hq82fl3nLFG48Ub2OK/veUz2zAp/tv5zXl3+agO26X6wvHXJm6TFpKG4FOZsmct/V/83DIvR7aq1KRA0soZ4YzzxkfHViJAKIRLvEStxxjg0soYYYwwxxpiArwtfvNeIN1SzzWkj1hhLm9g26jEH8g7w39X/DXr2sS68UaEme2a+953cx+wFj9XrAe0dJHqz8r649EW2H98eWv88g8VhHYbRv21/DFoDe07s5cmFT7L7xO6Q+1gTLlxqFt5AhJBRa/RYOryCI4HEyATiIxNIjEggLiKOGGMssQZ3ItEYYwwGrcF9nXnEa6hsPLKRl39/pd6/g9PlXoOikTWkxaRRYCrgiYVPBlWHw0ecaGQNv+1ZpOZGCKi8zwy0Rtaw7di2gAaXvngHxAatnssGXcod4+5QBcWBvAP8tvs31h7+i105uxo0eqBG0hBliCJaH63OPkd7BIj/5+gqx0X5HOf+LgYMWkOVfAw1cbT4KG+tfIvffFxygsXX3anQVMg7q/4TULnKk05v//FOQO5Xjkrl3lz5ZkD3H5vTpp7f3/YsCmj9SHPHbDeTWZBJZkFmjcdoZa07/1hkonvCIzJRzUOWGJVEYmQCcca4FmOtACEs6oWERPeU7pzlmXHqnFQxG7rnxB7mbv2eBbsWnJKLd5oD3gFFTYMgvUZPSnQKqdGp7sGDZ8DpHSAkeP56Z8INWgOyJKsPjbrYfHQz83f8xOI9i5vsGvB9OMiSzDebvmlQUQEVA9G0mDTKrGXcN/9+PytTY+JUnOSb8gNeEC9LMjHGGI/ocIuNhIgE9RqINkQTqY8iSh9JpGe2M1IfRZQukkh9JBpZU+M14lScrM36ix+3/8jSfUsbZDbO6woF7lwHd/9wT73XDCiuCuvB4j2LmbN1bsh12R0V16M3Ks1DPz/cbPLXWBwWjpUcC8olzaA1EGOIIdYY63bN8goPYyyxxhgi9VFE6iKI0EVg1EUQoTMSqYvEqIvAqTjYfnw783f8FNaBlG9AkNdXvBF0QAi7T3S3MmsZLy19KajyvtHhAJ5f8u+grVDea7lfm36qG+mWY1t5e+VbbDiyMai66oPT5VTzPIWKLMlE6iP9RUc1wsSgNaCVNZjtZjZkb+TPrD/rfZ/wTnCBWxwEagnzWnrALeQW7FoQUDlfUbnl6BbWZK4JqJxvIt93V78bUJnWgENxBDVZ1hIQwiJI7p9wH23i2hJriKFzUme/wYPZbmbh7oXM3fI9O3N3NmEvBYFgc9rURVqBoNfo/R4CMcboKg8Kq9PG4YLDbD22NazRnULF6fNQWnFgJS8sfbHB24yLiFPf/2PO7SHPbjcFikuh2FxMsbmYTDKDLm/UGlX3CfdAIgqdRo/ZYeZA3oEqyczCje8i/TdXvhkWl7ueqT3U9y/8Xr/rx3f2dN3hdTzw04MtPiSx1WHF6rCSV57X1F2pgslm4ucdPwddzndw+Nn6z4O+l/mKiE1HNoVkhbH7XCs2h43XVrwetNWjuaC4FNXKTWgebiHjdUkC+HHHjwGXU5SKZ8cn6z4NWBjKUoWo/XT9ZwG356XAVFDrDL+g+SOERZAM7zBc9ZkHt5j4M/NPlu77nRUHVgjrRCvG5rSpC6xaCseLjwPuB9sjvzzSKGFad+bspE96H/695N8tSlSEA4vDgsVhaTJR6U2SlVeez7ebvwtLnUv3LmV8j/G8u/pd8svr9718fcQf/vmRFi8qmit7T+ylR2oPHvr54ZD+531F0pcbvwypDzmluaTHpPHKsldDKn/CZx3ird/eyhbhShwS87f/xAX9zufd1e8GFdnqeMlx9f3C3QsDLne46LD6fkUAEci8bDm6hYHtBvLsoucCLiNonkhJyaktJiB8dHQ0mYcO0KlzV8rKGnbmrybO6XU2Oo2eMmsZR4uPcjDv4CmRHVrQMpGQGNlxZKMmF0yPSSc1JlWsKWoCNJKGkR1HsunoprCFTU2ISKBzUmc2hsn9ZHC7wRwpPiICWDQgbWLbkBiZwI6c0C3nfdL6UGQuCjlSWUZ8BhG6iKAWbFdmaPshHC0+Rk5pTsh1nOrEGePontI9pBxF/dr042TZyaAXjQ9sO4AjxUeDmohIjXYvXj7VJqNaIy1SWPTrP7DJhIVAIBAIBAKBQHCqEcjYu0W5QkVHu9czbN+2pYl7IhAIBAKBQCAQnDoE4jHUoiwWAOnp6U1qrYiOjmb7ti3CatJCEeev5SLOXctGnL+WjTh/LRdx7lo2zen8tTqLBUBOTvPwtSwrK2vyEywIHXH+Wi7i3LVsxPlr2Yjz13IR565l01LOn1z3IQKBQCAQCAQCgUBQO0JYCAQCgUAgEAgEgnojhEWQ2Gw2/v3vF7DZbHUfLGh2iPPXchHnrmUjzl/LRpy/los4dy2blnb+WtzibYFAIBAIBAKBQND8EBYLgUAgEAgEAoFAUG+EsBAIBAKBQCAQCAT1RggLgUAgEAgEAoFAUG+EsBAIBAKBQCAQCAT1RggLgUAgEAgEAoFAUG+EsBAIBAKBQCAQCAT1RggLgUAgEAgEAoFAUG+EsBAIBAKBQCAQCAT1RggLgUAgEAgEAoFAUG+EsBAIBAKBQCAQCAT1RggLgUAgEAgEAoFAUG+EsBAIBAKBQCAQCAT1RggLgUAgEAgEAoFAUG+EsBAIBCozZlxO3slcNBpNjce88cZr/PTTj37b8k7mVvt6443XGrrLrYpPP/mYvJO5ZGRkNHVXwob3mvpr7Zoaj5FlmW1bN5N3MpcZMy4PW9tvvPHaKXMNPvfcM3z+2adN3Y16887bb/HDvLlBlTl99GjyTubSuXOnhumUQCAIGG1Td0AgELQOHn/iSebN+8FvW3l5eRP1puVx1ZVXMmBA/7DV9+UXn/HOf95lxYoVQZd9/vln2bZtO5999nlY+lJaWkqnTp0YOXIEa9f+VWX/+PFn4XK5wtLWqcqBAwex2+xN3Q2BQHCKIywWAoEgLBQWFpKdne33KigoaOputQg6d+7EE088xlNPPxOW+qKiIjn99NNDKivLMhMnTAxLP7wUFBSyatVqrpgxo9r9M2dewVdffxPWNk813nvvfR55dHZTd0MgEJziCGEhEAgandNHj+bQwf2kpaXy9ltvsnvXDvbv28O333xNr169/I6VZZn/+79/sn7dX2QfzuT335cw+dxz/Y75Yd5c3nn7rSrtVHaruPeeu/n8s0/p1q0b3337DVmZh3jmmafV/eedN4UFv/5CVuYh9uzeyXvv/pf27dv/P3v3Hd9GkTZw/Lerbsu9ptvpvSeQQkkoSahH7/BydI7OAQeE3juhHAd3lITee4dAgBTSO0mcYqfaca/q0vuHpLVky7YcO7EdP998/Im12l2NpLU0z8wzM2HnXL5sCSeccDxXXHE5fy5awPa8bcz/4zfOP/+8fXotVFXl3y++yOzZc1i06M+oj7v++uv4c9ECdmzPZe2aVbz7zlsMHDiQyZMmsWzpEmJiYvjk4w8pKizgl19+1o67/PLL+Obrr8jZtIGcTRt477136NunDwADBgxg+bIl9OrVk2efeZqiwgK2bN6kHZuUlMSzzz7DX+vXkbttCx9+8D79+/dvsqyKAu+8+y4nnXQiFosl7L6kpCSmHXss77/3fr3jEhMTueuumcz79Rdyc7eyds0qnnn6Kayxsdo+Z599Fr/N+5XMjAxef/1Vtm3dzJtzZkcsh9ls5ssvP+ezTz/BZDIB/tf/uuuuZdHC+ezckceK5Uu55+67MJvNAMyYMYOiwgJ69epV73zzfv2F5557tsHnPWTIYN5+601yNm0gd9sWPv/sEyZOnBC2z/PPz+LRRx9m2rHHMvfnH9met40Vy5dy/fXXhe3XrVs3/vvKy6xft5btedv4c9ECHnmkNhBt6FofNXIkn3z8EbnbtrB2zSpmzXqWxMTEBssM/mv8pJNO5JZ/3syqlcvZnreNLz7/lP79+zNs2FA++/QT8nK3sWb1Su6/7956qZPRPG+AM888gwXzf2fnjjwWLZzPhRdcgMtdv9dlyJDBvP/+u2zbupmNG9Yza9azxMXFNfochBBtQwILIUSbiIuL4+OPPmTV6tWcetoZXHTRxaSlpTFn9uvo9bVZmo89+ghXXH4Zjz76GEcdfSwfffgRr732PybvY4t8v359eeP1V/nyyy855thpPP/8CwCcddaZ/O+/r/DDjz9y/AkncP4FF2K1xvL9d9+QkpISdo5777mH8ePHccONNzF9xvH8Ou83nn3m6X0q08033YjJZOShhx+J+piL/+8irrj8cu655z6mTDmKyy6/guXLV1BUVMSKlSu46P8uBuDKK69m1OixnHP2ubXPv29f3n33PU497XQuvvgSsrOyeOWV/wCQm5vLiSf9DfCnto0aPZbDj5gCgMFg4NNPPmb4sKFcfsWVHHf8iezdu5cvPv+U5OTkJsv81VdfoygKJxx/XNj2008/jVWrVrNl69Z6x7hdLrKzs3jiySeZNm0G99xzH6effhq33XZr2H5dumQyZ85sli9bzozjTuDOmXfVO5dOp+PV//0Xs8nE+edfgMPhAODZZ5/m6quu5Kmnn2HqUcdw2223M2PGdN56cw4AP/74I4WFRZx+2qlh5xs8eDBDhgzmvQgBEUC/fv345uuvqays5LzzL+C4409kxYqVfPzRh/Wuk+nTpnHNNVdzzz33cey0Gbz66mv867ZbueWfN2v7vPbq/7BYLJx33vkcc+x07rv/AbZt29bQyw3AmDGjee65WbwxezbHTpvBzLvu5vjjZvDgg/c3ehzAA/ffR0pqCmefcx6nn3EmKSkpvPXmbF7933955913OXbadJ5++hmuvPIKLrrowmY/7zNOP41/v/gC33//AzOOO55bbrmNU075G1OnTAkrR3Z2Fl9/9SVlpWWceurpXHjR/zF40EDmzH6jyecghDjwZIyFEKLNfPHFl7z88iva7bvvuZdPPv6Q7OxscnJy6NWrFxdddCGXXX4Fn3/uHzC+adMmRo0axXXXX8sf8+c3+zF79+7NZZddwaeffaZtUxSFu2beyauvvsbTTz+jbb/wootZ/OdCrr76Kh544EFtu8/n49JLL9fGBdx550yOP24GU6dOaVaZRo0axVVXXcmx02bgckWfHz9w0EDWrVvHd99/D8DmLVtYuHCRdv/u3XsA2FtYyI4dO8KOveXW28JuPzvrOZ5/bhZWq5Wqqipt/2BqW9Dpp59G3759GH/IBHbv3g3AddffwIrlS7nggvOZNeu5Rstss9n4/PMvOPvss/nwo4+17eecczZvvB65h6Gqupq///1S7fbGjRuZMvXIeq3fSUlJPP/Cizz/Qv1eq6BZs56hV6+enHjS36gKjP3p27cv555zDhdccBHffvcd4L++tm7bxqKF85k6dQpz5/7Cx598wumnn8ZTIdfGGaefxrZtuSxYEHlQ+q23/JMtW7dw5VVXa9vuve9+unbtysyZdzJ9Rm2AlZGRwTHHTqewsBCADRs2kJmZyVVXXckzz87C7XYzcOBAXnnlv6xYuVJ7LZqSmprKJZdcxvwFC7TnNmjQIC44//wmjy0uKeFf/7pDu/3008/y8ssv8a/b7+CDDz7UynDSSScxefIkXnvt9WY97+uvv45vvvmW++5/QNtvxcqVrFu7JqwcN998E9u37+DKq67W/t6u/se1LFzwB2PHjmXp0qVNPhchxIEjPRZCiFbxxOOPsXNHXtjPtGOPbfSYX+fNC7udm5sLQGZGBgCHH3YYHo+H7777Pmy/BQsXMnbMmH0qp8vl4suvvgrb1qdPHzIzM/n22+/q7Tt37i8cNnly2PY//vij3mDj7du3kxEodzRiYmL4z0sv8sADD7J58+ZmPYcPPviI8ePH899XXmb8+HHNOraunTt2Av7KeWOOOPxwVqxcqQUVAB6PhyVLl0b9Xrzz7rtMnjyJbt26ATBs2FD69ukTFuRFU95IZf3004bPceedd3D4YYdx+ulnUlpaqm2fPGkibrebH378MWz/zZs3s3nzZu19f++99+jXrx8jR4zQ9jn11FN4//3IvRUAEydN5Ls61xPAd999z9ixY4iJidG25eRs1oKKoG+//Y74+Hj69esHwJw5c3j00Ye58cYbyMhIb/BxQzmdTi2oCMrNzSU9PQ1Vbfzrv+4g+/z8fACWLF4Stn3X7l2kpaVpt6N53tbYWAYOHKgFc0FVVVUsX748bNsRhx/ON99+G/b3lpOTQ1FR0T5/Bggh9h/psRBCtIonnnyKL774Mmzbnj27G9jbr6ioKOx2sPKgBCo9KakpGAyGsDx/8Ke1GAwGVFXF6/U2eH5FUeptKywsxO12h21LTvZXVPfWqdyBv+W2bqpPYZ1yB8veVGUt1P333UtOzmZefyNyaz1A9+7dWbSwtgdk586dHDphEsuWLWPyYYdz2aWX8Nabc9i9ew+zZj3XZAXdYrFw3bXXMG36NHr26IHJZGp0auFQKSkpjB83jp078sK2GwwGFi9Z0sBR4RYvXkJubi5nn3UmTz39DOeccw7ffvsdlZWVEffv0aMHN914AxMnTiA9PR2DwYBerw8LboIibQOYPGkSVqsVk8lEUnIy+QUF2n1JycmUlJTi8XjqHVdcUkJyIAVu7dp1rFm7ltPPOJ2Vq1YxedIkunTp0uiA8+SkpHrBgv+8xf7HTkqipqYG8Feo6wpeY1arfzzJXXffwy+//sqll1zCzTfdyLfffscjjz7K1q0Np0MVFxfX26b9jUX42whVUVEReXtl+Hafzxd2rmied/BvNtJ+RUVFpKfXBiopKSlcf921XPOPq8P2M5vNJCYlNvochBAHngQWQohWsXfv3ma3vDc1xWhZaSk1NTVMPeqYiPcHKyg+X+SKUkJiQlTlKCn2z16VkpJMTk74fakpKZSVlYZta42pUf/v/y4C/GuA1LVi+VK2b9/O+EMmcOSUo7Tt7pCBrTt27ODue/wzSV1wwfk899yzKIrCJ59+2uBjvvyflxg3bhyPP/44q9espaKigtGjR/HiC883Wd6ysjIWLVrEzf+8td59NputyeOD3n3vfc499xyef+FFTjv1lLCUmVAWi4Vvvv6SgoICHn7kUfJy86iqruayyy7hmKOjn7XK6XQyafJhPPP007z6v1c4+phpWoW+pLiY+Pg4dDpdveAiNSWFpUtq02zee+99rrvuWu66625OO+1U/vhjPjt37mzwcUsiBKT+86bi9XopLyvTtgUD21BpqakAlJWVa9vmzv2FuXN/oUePHtx779188/VXjB13SMTABFrnOm2uaJ53sOEgUs9T3b/Z0rIyPnj/A95+592IjyWEaF8kFUoI0W7NX7CQmJgY4uPjtfSU0J+g8vJyevQMX1QuJiYm6lSJzVu2sG1bLsfNmBG23WAwMHXqFObPX9DAkfvuyClT6/3ccONNAJx9zrmcfc55uN3usOebm5tX7zxOp5NXX32NefN+Y8KEQwFwOZ0AWAIzGwVNnTqFF198kdffmM2yZcvIycnBarVGPKe5zrELFiygX7/+5O/ZU+992LVrV9TP+/33P6BXz57ce+89OBwOfv11XsT9Bg8eTJcuXbjlltv4/PMvWLlqFZs3bw5Lu4nG6tVr2Lu3kGuuvQ6r1coTjz+m3Tfvt9/Q6XQcfdRRYcf079+fPn36hL3vH330MUmJiRx++GEcf/xxvPtu/YpuqJ/nzmXGjOn1ts+YMZ3Vq1dr4zwAsrOz6dq1a739iouL2bJlS71z7Nixg5tvvoXU1NSoZuU6kKJ53pWVlWzevLne626xWBgxfHjYtoULFjJo8KCIf/8SWAjR/kiPhRCinjFjRuPxhKcY5eTkNJgesb/k5OTw1ltv89qr/+XhRx5l1arV6PU6srKyMBgM2oJ8c+fO5amnnuTaa/7B9z/8SFJSIjfccH2DLbmR3H33Pbz++qsUl5Tw3XffEx8fx0033YjZbOall/7T7LI//PBDnHP2WfTu0y9iy/HatevqbUuI97fWbty4qd6g61CXXnoJToeTtevWUVFezogRI5g0aSK333En4E/pKioq4u+XXExuXh56vY5169azefMWZhw3g/nzF2Cz25kw4VDOO/eceuffsHEj55x9FosWLUKv07Ny1Srefe99Lr74Yt57/12efXYWudtysVqtDB4ymI0bN7Fs2bKoXpc9e/Yw77ffuPyyS3l21nMNtqrn5eXhdDo577xzqa6pITYmhr/97WSGDh0a1ePUVVpayhVXXsWnn3zMH/Pn8+6775Gbm8f//vcqzz77DHfeOZPVq1fTu3dv7r//XhYuWsSPP/2kHV9cXMxPP/3MXTPvRK/X89XX3zT6eI888hgL5v/OS/9+kZdffgWny8WZZ5zOiSeewDnnhk9NXFxcwmuv/o+HHn6E/Px8jjn6KC699BIefPAhrVfu2Wef4fvvvmfrtm0YjQYuOP98ysvLyanbxdbGon3ez7/wIk8/9SRbt27lq6+/Jj4+nuuuvQa73R52vkcfe5yffvyeWbOe5Z133qGosIiUVH9a3tvvvBs2ZkYI0fYksBBC1PPN11/V23buuefXG+R6INx4081cfdWVXHftNWRlZeH1etm0aVPYDEBz3nyLbt27c9lll3LbbbeSl5fHv1/6DwvmL+Doo49q5Oy1vv3uOy659DJuvOF6bvnnzdjtdn77/XeOO/6EsLz8aA0ZPIif587dL+kohYWF3HjDDfTt2wdFUcjLy+Oxx57Qpj71er1cc+113HP33fz80w+sWLGCE0/6G1dedTVPPPEYX375ORUVlfzwww+cfsZZrF2zKuz8N9/0T5544jG+/eZrioqKGDV6LHa7nRNPOpnbb7+Np558goyMDGpqali6bBn3h8zsE41333mPqVOm8N677zW4T1FREZdfcSUz77yDc845m4KCAl5/YzY33nATzz8/q/kvGrBw4SKefPIpHn3kEZYtW86mTZu45977/DMg3X4b3bt1o6ioiC++/IpHH3m03nv37nvv8+acN3jrrbebTP/as2cPx59wEnfNvIPPPvsEVVVZvWYNZ551NvPmha+Gvn79embPmcPDDz1IVlYv8vMLuOfe+8JmTMPn48knHyclJYWamhqWL1/B6Wec1eD4lLYS7fN+++13UBSFa/5xNddeew07d+7kxRdf4o8/5nPssbWpj5s3b2ba9OO4/V+3MWf2GyQkJFBcUsLvv/3erJnUhBAHhpKSmn7gkzCFEOIgpqoqW7fkcOWVV2tTwgoRyfPPzyIrK4sTTzy5rYsihBAtJmMshBCilQ0fNoyysrI26eERHU9TMzQJIURHIalQQgjRylauWsXIUTLHvhBCiM5FeiyEEEIIIYQQLdbswOLEE0/gm6+/Ijd3K+vXreX+++7VFlhKTEzkf/97ha1bcli3djW3/PPmsGObul8IIYToTK699npOOOGkti6GEEK0imalQsXFxXHRhRfyxJNPsmDBQrKyspj9xmsUl5Qwa9ZzPPvM03i8HsaMHU9iYgKvv/YaRUVF2sqyTd0vhBBCCCGE6JhaPCvUddddy8SJE7jmmutYt3Y1I0aOJj8/H4AZ06czc+YdTJp8OKmpqY3eL4QQQgghhOi4Wjx4OyU5mYKCvQwdOoSCggItaABYtnwZ/fr1w2q1Nnl/pIWsjEYjRqOx3jZZbVMIIYQQQoj2pUWDt9PS0jjzzDOZPXsOyUnJlJSEr4BZUlKKqqqkpaU2eX8kN1x/HbnbtoT9bNr4F1artSXFFkIIIYQQQrSyfQ4sYmNjeHPObP7z8sssX7484uqywbm53W5Pk/dH8uys58jK7qP9DB02Yl+LK4QQQggh2oDii3KtFh8cW3kZUysv3r8FEvvNPgUWZrOZObNns3TZMmbNeg6AouJikpOTwvZLSU4GoLCwsMn7I3E6nVRVVYX9CCGEEEKIjsHkjeXikqc5KopgweyLY4BjAkMch2H2SnZKR9TswMJsNvPmnNnkbM5h5sy7tO2rVq0iLS2NzIwMbdvoMaPZvn07dru9yfuFEEIIIUT7Z/ZaObry73R19W9y376OscT6EhjsOCyKM3vDHkN0PM0KLIJBxcZNm/jXv+4Iu6+iooKPP/mEhx5+kKSkJHr16sVtt97KnDffiup+IYQQQgjR/h1acwqDHJM5rfxfTe7rVGtqbzSREqWEVEstPgksOqJmBRYnnXQiU6YcyZVXXE5RYUHYT48ePbjttn/hdDhZtnQxP/7wHb///jvPPfe8dnxT9wshhBBCiANP9emarPgHxXoToz6vXakNLMy+mEb3Vah9fOmx6JiaNd3sBx98yAcffNjoPldd/Y8G76uurmn0fiGEEEIIcWCpPh3nlz6MTa3kw8QHm9zfpkQ/5tUXkt5k8cZjV6sb3FfxhfZYxEX9GKL9aNF0s0IIIYQQomNL8nQhwZtGprs3Ol/Tbc52tbL2RhPLLIf2QjQVLITt65XAoiOSwEIIIYQQohNzKQ7t9xhvQpP720N6LIw+S6P7ho2baCJYCN83vslyiPZHAgshhBBCiE4stKcgmsDCq9SuP9bU/mpIVTOmiWAhfPC29Fh0RBJYCCGEEEJ0YuGBRdM9BaFjIWKaCgB8oelNTQUWkgrV0UlgIYQQQgjRiYUHCk33WIQHAI0HC2ozeiFUX/RpU6J9ksBCCCGEEKITU5qRrtTc/ZvXC9GMnhDRLklgIYQQQghxMPEpdHX1w+A1R7V7c8dYNGeQdXOCELVuENLEjFOi/ZHAQgghhBAH1BDbEfRwDmnrYhy0BjomcFr57ZxScWtU+ze/x2Ifp5Btct/acugwYPBFFxiJ9kMCCyGEEELsE4s3nlE105u1SnKyuxtTqy/ibxU378eSdW79HOMByHBnRbV/6NiGaHoswvdvoseiGeMmQoMQgBifTDnb0UhgIYQQQoh9ckzlpUyuOZPjK66J+hiDzxTxd9F6qtXSZu3f3FmhaMEUsmojC/CFBiEAsd7EKMoi2hMJLIQQQohOLsYbzyHVpxDnSWnWcb1cQwHo6u4f9TFuxan9HutJatbjiehUqWXa79GspB2eChVFj0VIINJU5b9uL4TV2/B7rlA3sJDro6ORwEIIIYTo5KZUXcR424mcWn5bs46zKZXNfqzQymNjlUyx7xxqjfa71Zvc5P6h74kRc5M9SfXeQ58S1b7a/g3uWycI8SQ2Wg7R/khgIYQQQnRyma4+AMR7U5t1XHVIy3i0QvPzJbDYP0Jf4zhPNIFF3Qp94+9L6P46DI1ODVv/3A2Xp36PRWKj5RDtjwQWQgghRCe3LwFCveMaabUOJT0W+19oZd7qbTq9re7YhrgmAsy6+zcaLNQ7d2OBRfRpU6J9ksBCCCGE6OSaO9g3yKbWpkI1NZVokBKWny8Vx/0hNHhrrCIfpNapDjY11qZuz0JcI8FL3XM3lppVNwgx+6KfbUy0DxJYCCGEEAcJnc+Azmdo9nGhg32jXVQNwIdX+z3a1mVVeiz2u7DAIqoB+eE9BfFN9HLU71lonV6IukGI0RfTaDlE+yOBhRBCCHEw8CmcW3o/lxU/1+iUnpF4FJf2ezQt3EFhaU1Rz/AUkqYjs0LtF6GV+X3qsWgysKjbw9H0uAmnYgMaT5uqG+CYvJZGyyHaHwkshBBCiIOADj2J3gwMmEh1d2/WseGpM9FPOdvcCiyEDyyWVKj9I/Q1jvekNbl//UChiTEWgfc9OCtYND0WFWqx/9yN7BsMcDz4A12T9Fh0OBJYCCGEEAeB0Fbn5s7uFDbYN4pZhLTjwmZ4iu640EpsrC+h2b0romlKnWtB9eka3z8w8N4bSG1rKrgMBi4VuqIm9w9eI5WBwMLii2swXU8LWNRqIBBY+BotimhnJLAQQgghDgJK2BSjzQsswqYnbVaPRcsCC2g6n180X+hrrKJrMtAM7l+hFgL+aV4bD0aC+wcCi0ZTofzBgl2t1NKh4hu4PoPXsEOp0spuQFZn70gksBBCCCEOAnVbqff12OaMsQjtJUnwpDf7mOYcJ6JXN3hL9GQ2sb+/8l+jluPGiYraaKAYXHm7XLcXgFhfYoOL6gXL4sVHmbo3UJ6MRsvhVOx4cANg9Eo6VEcigYUQQghxEAhLhWpmj0VYUBJFTn6k46INEOpOKSqBRetTfXUDi8ZfY63yr3i09KaERq6D4P52pUobZ9HQ+1h7jXgp1xUEytNQYOHf14dP690w+WQAd0cigYUQQoj96tDqU5hcdVZbF+OgF1bJ9zavsh56bFITrdthx4VUYC0+KyZvbLMeCySw2D/CZ1dquseitkJfqssHGr8Ogj0LPsWr7d/QYwT39SpeygKBRUPXp3ZevDiUGkAGcHc0ElgIIYSoR/Xp6O0YHVVFsanzjLOdyCj7NJLcXVqpdCISxRfeY6FEuRI2hLdwW3xxUb/vddOammoZh/rrGkhg0fqC70twwHRDPQTa/r7aCn2ZFlg0/PcavNa8+LRgoaHHCF5bvij21QIcxYtDDfZYSGDRkUhgIYQQop6RtmM5vvIa/lb+zxadR6V2AGhzWsJF84VW8nXo93kQNjRdEa09rvlBQr1gpJm9K6JpwfezRLcHaF6PRfCYRgOLkPSmsiZ7OILn9jYdWGgBjg9noMdCxlh0LBJYCCGEqKe3cxQA6Z5eLTpPaCu6tEzvX3WDg8YqhvWPrZs6E21gEVj8DLv/OG/TxwWviTLVX8lsbu+KaFrw/SzR7QL8A/JNjVTQlZDKf6kWWDSdCuWNIlhQqQ0WgvvGeVMiTjkbWg5JheqYJLAQQghRT7ACALRoHvnwtRWiHxQsmq9ucJDi7hb1sWpIhQ6abuHWHjMYJARaraMJHoOVx0pdMR7c6DBEPVWtiE4w/ciuVmtTwqZ4Gl40MXwchP+9tHqTMXjNDewfTFlqRnoTXuxKFXalOrB//WsltOdEAouOSQILIYQ4SCS6Mzmz7G76OMa0+FyVgcoI+Oe031f7MmuQ2Dd11x1orCJZVzBAKImitTrsMQPvb6m+6fQZ7bG01ZXdWqW0Ob0rommhlfki/Q4AUt09o9jfh0OtoUYpBxq+DkIHWZfr9uLDi9lnxeKNb3hfxQsKlOh2A5Ac4foMG7ytBlKhZFaoDkUCCyGEOEgcWnMKGe4sjqv8R4vP5VNquylaUukL7bGINr1G7Ju6qVDN6bGozcn3V/qiDSyCxxXp/JXXZHfXJtOalJDUmODjNaesomm1a0d4tfcm1d2j4f1DBm9DbYCZ7In8vighA7LdilMLECM9Rui+gBbopEXYN/h54VVCUqFkjEWHIoGFEEIcJLyKu/ZGC9KXABRf6KDrfQ8swmYq8qag8+lbVC7RsLqDopM8XeutGdEQLUAIVPqSPF1Qo3ivgseV6vJx4cCAqcmpbrW0K8VLid4/BiDZ0zWqcoro1KbF+Wp7LDwNBxYq4ZX/Qv12ANIa6OWomzoXDF4iBQtKA/tGDHTCBm/LrFAdkQQWQghxkAjOJw8Q40to0bnUkHz9lszmFDorlIIqvRb7UbAyWaWW4sSOHkNU079CbUWxQi3ErlShQx9VZT90YbVgkJDibjwFq7YF20upLjiAW8bftCYlpOU/GFikuLvVS5erFV75L9TnAQ0HFqEpS/79/YFIqqf+/qE9VADF+p3+8kQIdEIDltoxFpIK1ZFIYCGEEAcJLx7t96Yqd01RQgKClrQm103PiZRXLVpH7doCtZX81Chn9QrNgy/UUlUazskPCl3/oEjnrzA2lnLjf6zaNB2bUgH4184QrUcNCd7K1UIcSg16DKQ0kNqkho6DIKTHwtNL60UIVRu41E1vihRYhActxfqd+PBi9SZi9sbV2bc2CKkNLFq2lo44sCSwEEKIg0Ro70BqCwOL0AXTUt099zm1qu5MRS0tl2hY8P334aNAvw2ADFd2VMfWBiVeinSB1ucmAgQIH/RbpLVEN9FjEVLRtKmVAMREGPQr9l1YZV7xka/fAkAXV9/I+9cZB1Gq24MbJ0afOeI6I7V/1+GBSKIns940sqEzTgG4FAflaiFQP3UqbAYptQoAs9cazVMW7YQEFkIIcZAIzadvLJ86qnOFfD1YfNZmLbYWqt5MRTJId78JrZQV6LcCkOnu3cxjQ3LyowosanssinXR9XSEto7bVH+PhdkXK2tZtKLQXiGAPYbNAGS6+zSwvxK2vy8khSrNXb/XKzQQBahRyqlWylFR673/dYMWgL36XAAy6lyfSti14Q86LV7pzepIJLAQQoiDROjg3camlozuXOEBQaTKRTTqpkLFepP2uUyicbUtwx7yDf7AIs3dq5G8+lqhue3B1ud0T68oZniqzeXfq8/Dh5d4b2qjPRChFc3gmgYKKiaftEy3FqVOalOwxyKzoR4L6lf+g71ema76wUjt37UvuIF8Q7BXpF8D5/Zq2/Zo+4afO/TaqAmkyRkxo/cZI5ZbtD8SWAghxEEiNBhI8XRtcHGraNRNYUrfx8Ci7kxFMT5JedlfwvPq92JXqgJ59U2nn9UueOalRLcbp2LH6LM0ON2odlxIRdCl2ikOTB/bUAU29LG8ePEqHuyKP+VFWqZbj1qnlyBfvxUfXhK8acR6EuvtH7nynwNAV1f/CPuH93AA7NEH9neHv/ehK28H5etDelBCgtfQHjCXYseNE5BUuY5EAgshhDhIhAYDCioZ7ujy6yMJtnJXqaVA6/VYWLxxLZ4KV0QW1uqs1LY4N5RXH3ZsSGqLT/E2mZMfVHfaUa1lvIGUm0jH1I6zkMCitdQNFFyqncLA2JnuroER9g/v4QDYHQgUUj09MHotdfav38OhpVu5+ob9jUcKWor0O3DhwOyzhk1nXfcargmkykVaeE+0TxJYCCHEQUKpk/LSWOWuyXMFvh6CufoZ7ux9CgiCAUq1UgaADr3M8rKf1M2r32XYCESuSNZVt7K/J9Ci3MXdr8FjQh9TCywaSHGJeEygEmtTArn0MjNUq6k7HSzADuN6AHq4htTbv24PB0C1rowytQAVlS51eiHqvocAe/V5uHER44sn0ZsRsm8waKk9t1fxaIFv15BrrO71FByDIz0WHYcEFkIIcZAIVg6dih2ATFd0A3cbO9defS4uHFh8cfu0UF6wUuFSHNr0kdIyvX9os0IFKns7DRsA6OYa2IzVsIODff2t1U31WISOsYDaFJd0d1aDiyHWHfgrg3RbX93pYAG2G9YBgcDCF3n/0EAEYLdhEwDdXAPC9/fVD1y8iltriOjuHBSyb0Pn9ge+PZyDQ8oRHoTUBIJOSaHsOCSwEEKIg0SwchDMde7i7rvPM+0Ez+VSnNpA4Ei51k2pXWXZV5vWIJWE/aJuZW+vPheHUoPZFxtx4bKwY+sFCFvx4iHBm0acp+EZwepWSEt1+VQrZegxNjy1aZ1jJN2l9UWqzO8x5ODCgdWbWG89i0hjJgB2GPy9HL2cw8K2112pO2i7ca1/f9fQkHNH3jcvsG8P1yDt2lXrzjYl10aHI4GFEJ3c4VXnMr3iqrCpSkXHFEw7KtBvxanYMPusTVYomzqXDy+79f5Wy67u5gcWwfQsLx5tMTRJa9g/1DqpUD7Fq6VDhbYKR1J3SlCXatfGS/R0Dm3wOLVuy7XSeMqNf5fwwby24OBtSYVqNXVT2wA8iptdgV6sbOeosP3rzfIUsN24Fh9eUj09sHqSwo6oe36APOMaALq7BmufIZHSssA/Bsgf+FpJ18aDRU6Fkt6sjkNqEkJ0ciPsR9PPOY4s5/C2LopooWBlwq24tDSYpiqUDaltwfRoKQvdXAOaPc4itIJTI/nS+1WkdJZg+ku2c2Sjx0aqiOZprc/DIh4T+pheQlNu/Mf1dEYOLBoavC2Vx9bTUGrTFtNyAPo4xkTc36uE729Xq8kPpDf1ctV+RzTUY1Go20G1Uo7RZ9amna079ifIp3jr9YjUnUFKPjM6HgkshOjMQtJk6ubQio4n9As8+IXdw7VvgUVtvr6PfMNW3LiI8yY3e5yFEiGwsHgT9qlMonGRKofbjCsA6OLu02jFPVJFNNj63MM1qMG1MCIdF+yxSPP0jJjCUncGIi2wkHUsWk1DlfmtxhV48ZDu6UW8J612/whjJoJyjasB6O0YWe/8vjqBCIpPu276OEcH9lW0++raZlwV2HdM+HmDQaci6ZMdTbMDC6vVyuuvv8ryZUvCthuNRp568gk2bljPpo1/8dhjj6DX66O+Xwhx4IWuMbAvaS6ifakdz+DRAouurv77tLhU7QBbD27FqaVQNLdnSw2p7GozvEjKy34RKa++SlfKXl0uCipZzhENHqtGCEoKddupUcox+iwNziylRqhg1qgVFOi3oaDSu07KTXg5g6lQwVZpCThbS0MVf7tapaXH9XccUn//CF2SW4xLAX9qm9nrD/6CgUjdwAVgs8lfP+zrGIviU+oN1g+1zbgCD25SPd1JcnepP3hbeiw6nGYFFgMGDOCH77/F7XLXu++umXfSv38/jjhyKocdfgR9+/Tljtv/FfX9QogDL3RBtQx3NmoDs7iIjkHVxjP4KNXtoVwtRI+BXo3kyDd4rjoth7mBVsjQdIhohFZ2a2SMxX4VKZ0JYKvJ32vRzzGuwWMjztyj+LTUmb6O8dEfB2wxLgscN6b+MXVa06sDa6VYZVX2VlPbA1E/UNhgWgDAIPskLbWxoWsHoFSfz15dHjr09HWM9Z+/kUBkh2E9dqWKWF8iXV0DGkybAnCoNewIpOv1c46rdz3VTjcrQWdH0azAYvLkSdx33wO88cbssO2KonD++edx/wMPkp+fT0HBXu6+5x4uvvj/UFW1yfuFEG2jbnpDY3PPi/av9sveAwpsMfkrd72d9St30Z4rWPnLC6RDdHX1q7dYVmNCBxTbZIaX/aqhvPpNpj8Bf4tzpFWXGzs2x7gYgD7OURHToRpKudls8rdyd3cNwuwNX7ekbiW2UlcCgNFnada1JRrWWKCw2bQUp2In0ZsR0lNdf4G8UJtMiwAY4JgQ2Lvh1Cmv4mGL0R+QDnJMrD13hH0BcgI9HAPtE2tTMANBSHCBTovPuk89r+LAa1at/tVXX+P7H36ot713djYxMTGsXLlK27Zu3Xr0ej0DBgxo8v6GGI1GrFZr2I8QovWE9lhA0wM8RftWN50l2Gqc7RzR7N6ouiku5bq9FOt2okOv5UNHI9IYC2l93D8ipTOB/73brc9BRQ1LfwkVaRA2+NcxqFbKMfus9aYc9R8XudJYrttLoS4PFV29x6ybpuNWnNrMUFZvctNPVDSpsYq/W3GSY/QHm8NtU4GGB2MHbTQvwoObru5+pLp7hLyHkfdfb/4dgH6O8VgC6VMNnXuzaSkOpYYEb7o2JixYbodSg1OxARDnkWujI2iV7oKk5GSqq6txuVxh28vKykhLS2vy/obccP115G7bov2sXbOqwX2FEM2n1vkIyHaO3KfVlUX7oIRMEQv+tQiq1FJMvhiymzk2InSMRdAmk7/1un8DaTERzxMIXr2Kh0rV3zJt9Sbt8/oaomF1xy6E2mD2p78McRwRNmlDUEMt3D7Fx0bzQgCG2o+o/5iNVDDXm//wP6b9iLDPlUg591WBayNOAotW0dAsT0GrLD8D0Mc5lnhPaoMpbUE1ajlbA70Qw2xTG+zhCsrXb6FItwM9RtI9Wf59GyiLW3Fq6VnJnq6B8/qCT4RKtRgAq7fh9VRE+9EqgYXPF7kmoigKHre7yfsb8uys58jK7qP9DB3W8MAzIUTzhaY2eHCR6M0gKfDBLjqe2rSjQDCg+Nho8lcKB9knN/Nc4SkJUJtS0901OOpxEqHrHFSrZXjxoEMvvRb7gVL3/Q+xyfgnDqWGJE9m2OJldY+NVPlbZ54H+KedDVssz9d4ys1G00LcuEj19CBDW6cgctpVMLCwSqt0q2gsyAQo1u8kz7AWFZVRtukNLpAXarVlLgADHROwehMD529gfwVWm+eGbWqoLABrzb+G7xtyHQYDi3gJLDqEVgksiouLiI2NxWAwaNsURSEhIYG9hYVN3t8Qp9NJVVVV2I8QovUEK48uHOww/AU0PsBTtG+R8t3Xm/ytxr1cwxrMr2/8XLWV1ApdoZZSM9h+WJTnCQ4o9+JTvFrOdJxUElpdY5V8l2pnvcmfnjLSdmy9+xubbrRMV8AOw3oUVIbbj6o9htqej0jHOdQabYag0MdUI6TpBMdZSI9F62jsWghaZvkagCH2w0n0ZAb2b7jyv1u/iT36zeipHevQ2P4bzAuoVspC9m24LCX63WwNTI1c97wVukCPRSMrwIv2o1UCi9zcPEpLSxkxorZHYehQ/8I427dvb/J+IUTbqO0u97BRG5x3qKRDdVCRpv4s0+cHggEdQ+1HRn8uX+QW7GDL4lD7kVGlM9UbqBtofZTAovU11usAsMryEx7c9HQNoasrfHrper1ddaywfA/AUNuRmAKDsZWQKkRDLd3LLd8B0Nc5Tls3IdKMQlqPhQQWraKpVCWAXcaN5BpWoUNPV7d/MbuGrp3ASVkS82XYpsbO71Fc2nUD9VNv61oaCHQgvOcqeG1Ij0XH0GpTMr3++hvcc/dMMjMzSU9P49577uHDDz/C4XBEdb8Q4sALDuj14mWraTlO/DOFZLpldqiOqHa62fDK4UqLf9KNYfYp6HyGesdF0vBsP0uwKZXEeVPoHVgAK5rzBCsslYHWxzhpfWx1TaW/VOqKtUG1E6pPCx/30MTg3TzDGgp12zFiZrRtWtgxjR3nT7lZg4rKITUnhx3nDUt3kcCiNTX1fgbNj/0o7G+8sUAB/NfBbv2m2v0bGLwdtMbyi/Z7cIB+QwoMW7WGh3zDFm17bY+FXBsdQasFFk8+9TSr16xl3q9z+XPRQvLz87nr7rujvl8IceCFtlK6Fac2PWmkQZqi/WuolXKrcTnlaiEWX1zUvRYNpVJ4FDdrAr0WY2tOaLJ3S60zULdSG6QrgUVrUxsIBkMtsXyJCwdd3f3CZoFTtUH2DefM/xnzGQAjbdOI96SFtUA31tK9KOZTAAY6JpLuyqrtDQtbyC9wXUjlsVVoYyYa64EASvS7WG/+Tbuta2r2OAV+s76j3XThbHR3t+Lk7cSZzIt9i52BRTYb81bSnXwT94LWgw5QJb2cHco+BRbzFyxg9JjwPGyPx8Odd85kwMDBZPfuyz+uuZbq6pqo7xdCHHjaAF3F38K9xuxvXervOASLV1ZH7mgaqlj6FB/LYvxpBuNqTohqrYDQNLm6Vll+xImddE+vRldzDj1P7ZoF0mOxv0ST/lKtK2OV5ScAjqg+D4PXHDZLVGPHbjOuZLthHXoMTKo+Q+shgcaDmb2GXP4yzQfgsOpzIram16bIJcuMYY3Q+QyMqpnO2aX3cnHJ05xZdheHVp9a7++pqVmeQs2P+VD73RGY2rUxhfrtfG99hT9i3qdaV9rk/iX63f6B3030bgCBBq7leJXaiX0qtFmhZDa5jkBWpxOiEwumzngCqTMFhq3k67eiw8CwwPzmouPQppuN0Eq53vQHJbrdWHxxjLbNaPJcqq/+rFBBdrWKNYEZYiZXn9XoGhlqnQBFxljsP7Wt1JHHSQQtifmScnUvcd4UJtWcEd7z0FhFVIHfY9/Di4e+zrH0dY6N7jhgYczHWk9J8Li6s0K5caHDINdGA4xeC6eV387kmjNJ8/TE6k0kw53NONsJXFj6GEdXXkKsx796eTSDt4Ocqo13E+9hmeVbcgJTSjdlk3kRK2K+b3rHVlCjlgWuDT1x3tQD8phi30lgIUQnVjulaO2Xz8rAYLuR9mO0QZqiY2hsAK5P8bIw5mMARtmOJcGT3ui5Gpu6FGCJ5SuqlXKSvJmMtB3T8Hnq5P2HTR0pkwS0qsaCwVBuxcnP1tcB/7ib0AUPG+t5AH/qTHBA7lFVF2vbm6rAVuvKWBD7Udi20ADYp/go1xUAaDMUiXBTqy4iw52FTankZ+vrvJd4H99bX2GHYT0qKoMck7ig9GEOqT454md7Y4r0O1gQ+yFOtekeiwPNp/go0+UDkCTXRrsngYUQnZiW/x7SwpljXEqRbgcmXwyjbdPbqmhiHzQ04Dpoq3EFOwzr0WPk6MpLGk0raKrF06XaWRDrT6EYV3OiNuNPw2XyX2MVukJ8eDH6LMT4olsLozNTfCpJ7i6kuLv705Ya27cZrdS7jBtZYfYHCNMqL9e2NzorUMCimE8p0G+t++BNWm3+mVzD6gYPKgsEFlJ5rK+Xcxj9nOPx4uGL+GdYb/6dQn0em8yL+CzhSd5PuJ/d+k0YMDHedjImXwzQ9BiLjqJUtweAZLess9TeSWAhRCemDdgMbZVWfNpgyxG2o5u19oFoW7VjZhoegPuz9XWcio2u7n6MaiRwbGrlXoANpoXs0m/EiJnplVeGLbhYr0yByq5HcVOhFgGQ5O7S9JPqpFSfjnE1J3JZyXOcX/YQ55bdz+Ulz3N62R0Mtx0VMciIZvB2qPmxH2rrUwRFE5R4FQ/fxb0c5TMJocBPca9pN21KRdjdpYFWaemxqG98YEatVeaf2GvIrXf/XkMuHyc8yjdxL2q9ggAeGl6EuCMJBhYSdLZ/ElgI0YlFDCzwD9Lco9+MARNHVJ8vKSsdRLAHoqH0JfAPnv499j0AJtScRi/nsIj7RZq5J8ID8kPcK9iUKjLc2UyuPqv+LhFmpynRKgkSWESi+vQcV/EPDq05BZMvBqdix6ZUoqKji7svR1Sfx99Ln+awqnO0nHqofa2j6XUI7vdt3Et1FjGL7o+9QlfIZ/FPAVCq5kf5zMCmVvBG0i38bH2dXOPqsPtKJd0lolR3DzLdvfHgZlnMNw3vqMAW0zLeSrqThTGfsNjypbYGREdXog9eG9Jj0d41Ma+YEOJgpq17ULciosAv1jmcVXY3fZyj6eMco01FK9qvaPOq15t+J9PVhyGOw5lWeQWfJDxGkX5H2D6hK2Y3pkpXys/W1zih8jpG2I+mUi0OG9RZm/dfe55S/R6yXSMksGjApOozyHaNxI2TudY32Gj6ExQfVk8yvZ0jGWafSrKnKyPtxzDMPoUNpvksi/m2WTMBBTnUat5PvJ/jK6+lRqloNCita4dxHa8n3YxbcTXr+VXqilmv+73e9jKtxyKjWec72A0JTP+91bgcm1rZ5P5uxcnSmK/2d7EOqFLdbkCCzo5AeiyE6MQaG+xbrN/JMou/dWxK1YUyPWgHoEaRvgSAAr9a32SXfiMmXwx/K7+FNHfPiOeKppK6zbSSP2LeB2ByzVkMD5lRLNK4j1LpsWhQmrsXw+1HAfBt3EtsNC/Spums0pWw2jKXtxNn8ln8U+w0/IUOPUMcR3B+6cP0dxwCNC+wAP/A6g8SHuCrhFlRjZUIVaUrxa42vvBZtIKBRZw3BYPP1Crn7PB8Cn0c/sH168z1g7HOokxXgA8vFl8cZpkKvV2TwEKITkxpIBUqaEnMVxToc7H44jiu4hr0PuOBLF7n4lPIcPVmkH0yw2xT6O0Y7Q/mmpGG1pwWa6/i4av459ij34zFZ+WU8lvD1qRQIgzsb8yKmO9ZZvkWgCOqz2dC9angUyIGKJIv3bAJ1aeiorLJ+Ce5plWRd1L8vQWfJjzBhwkPkWtYhYpKrC8RAO++5C62g+UB7Gq1lpaV4u7etoVpJ1I93Yn1JeDCwS7DxrYuTptxK05tbFaqXBvtmqRCCdGJqY2sewDgVdx8E/cCZ5fdQ7qnF9Mqr+DbuH9HXdkU0enpHMIRVeeT6K2fAlKhFrHVuIKtxuXsNmzC18giUw2NmWmIU7XxefzTnFBxHd3dAzmh4lqWWL5mScwXzeqxCFoQ8yFOxcaEmlMZazuBdHcWNap/gG5oL0owsIj3pmLwmXApjqgf42AW70mjl8s/5mVh7CdRHZNv2MKXCbNIdfdkbM3x9HANZncHroAW6vOIdSWS5u5FvmFLWxenzfV0DgFgp2FD2KJxndFefR4JznTS3VnsNP7V1sURDZDAQohOrLFUqKAqXQnfxL/IyeU309s5imMrL+eHuFckuGglw21T/QPkAadiY49+M27FSZwnlRRPN+K9qYy0H8NI+zFUK2VsNi1lk+lP8vVb661k25zpRoNcqp3PE57isOpzGG6fynjbifR2jkSPv3cq2hmGAgVgacxXVKklHFl1AT1dQ7W7QstkV6upUsuwehNJdfdgj2Fz9I9xEBtqPxKAPMMaKnSFzTq2SL+d7+Jf2g+lOrD26reT5RpBmrtXWxelXQj+DW03rm3jkrS9vfpt9HOOI92d1dZFEY2QwEKITizaFu7dhk18Hf88J1RcSz/nOCwVVr6J+zcOtfpAFPOgle0YqQUVq81zmR/7AW7Fqd2v9xnp4RxMb+coejtHEetLZIT9aG2QdI5pCTnGxezV54LSjDEWdXgVD/Osb7HLsJEjq84n1dNDu8+3DwHkBvMCCvTbOLbyctI9/gpi3Wtsr34bVuco0txZElgA+NDGSKw1/9q2ZWlDhfo8ANLrjPnpjBSfSqarDwA7DNJCv1efCyCBRTsngYUQnVjtrFBNVx63G9fyVfzzzKi8iu6uQZxVdjc/xL0i6Qr7yOi1cGT1hYB/4bB5sW/Xy3N3K062mVayzbSSX3xz6OkaQj/HeHo7RxHnTWG0bTqjbdMpV/eSY1qM0WcBok+FqmuzaQm7DBs4pOZvDLNPwYkdh7JvK/GW6vfwQeIDDLdPpY+j/qxie/W59HaOIkMqCQCkeLoR503GhYO8Ttw6HQwskj3dUH36Tp3+k+TpggETTsWmpQ92ZnsD10aCNw2zNxa7NGy1SxJYCNGJqVFOKRq03biWjxIe5viK60jwpnFa+e2sMv/EkpgvcKg1+7OoB52xthOwehMpVfP5Pfb9JgfPehUPucbV5BpXo/Pp6eUcTj/HOLKdI0nwpjPWdoK2b3NnBQplUyv51fomyyzfoKDiaeZUoqF8ipdVlp9YZfmp3n21LdNZ+3z+g0lw4PxOw4YWveYdXaVajE2pwuKzkubuQYFhW1sXqc2kB9LBCnXb66U9dkZO1Uapmk+SN5MMd2/yjGvaukgiAgkshGgDSe4uZDmHk+TJxOyz4lZc2JRKSnV7KNbvolCfF5YSs7/Ups5E3ypYrN/Fe4n3ckT1eQx0TGSU/VgGOiawNOZr1pl+w6Xa91dxDxoGr5lhgXz6P6zvN7tV1qO42WpazlbTcvQ+I9nOEfRzjKeHawgVapE2YLolKnXFTe/UAsG0hiRPpgzgBm2hwlxjAzNBdRYK7DHk0Ns5iq6u/p08sMgCalvqBewxbCbJkUk31wAJLNopCSyEOIBiPYkcWX0BvZ2jGt3Pg5tCfR67DTns1m9ijyFnv3T7aqlQzWzhdqo2foz7HxtNC5lcfTYpnm4cVn0242tOYp15HutN8ynV72718h4sBjkmY/RZKNHtJtewuukDGuFWnP6xFqYlKD7Fv3JyO5g6tCk1agWVaglx3mQyXNnsNG5o6yK1GdWnJ9PdG4DtxnVtXJq2t1u/yR9YuPuzgu+bPuAgFRzAXhgIwgXsMmxgsGMy3VwD27ooogESWAhxgKS5e3Fy+U1YfHF48bLdsJZ8wxZsSiV6DMR6E0l2dyXV0xOrN4lMdx8y3X0YzXTAP0XnHv0W8g1byNdvpkS3u9GpR6PR3OlJ69puXMe7hnsY7JjMKNt0kjyZjLbNYLRtBkstX0U9ZWZnM8R+GACrzD+1aopDS6+HA223YSMDHBPo5hrUqQOLNHdPdBiwKZVUqM2bDepgFFyvoaurvz9Y7mDXdWtQfIq2aKX0WNTaGRjEnu7Owui14FT3bQyY2H8ksBDiAEjwpGtBRaEuj+/jXqFU38BgPJ9/5dmurv7+H3c/kj1dSfJ0IcnThcGOyQA4lBqKdDso1u+iWLeTYv0uSnS7cSjVUbdYa4FFC6aO9Sle1pl/Y53pd7KcwxlmP5Is1wiG2I9gYcynkhtcR4InnVRPDzy4yTEtaevitKmdhg0McEygu2sgf7Z1YdpQsLfCP4VwGxemHSjUb8ep2DD7YknxdKdIv6Oti3TAxXlTMGDCg0tbkVz4V3ovUwtI9GbQ1dW/4UUkRZuRwEKI/UzxKRxTeSkWXxwF+lw+jX+88XEIij+/faNuIRvNCwEwe63+HgyXvxcjw5WNyRdDN/cAurkHhB3uUGqoVIup0BVSoRZTqSvGplRiUyuwqZXUKJXY1Eq8ihvF17IeizpPlFzTKrYb13JZyXNYfHGkeXpqg3SFX2/HaMDfpd/Zp+vdafD3UmS4s9H7jAdkXFF7lBEMLGSGNcDfWLFLv4ls1wh6OYd1ysAi0eNfLLNMt7dT9tg0ZodxPYn2DLJcwyWwaIcksBBiPxtmn0IXd1+cio1v4p7fp8HNdrWKXOMqbWCn4lNJ8XQjxd2NFE93UtzdSfF0J86bjMkXg8kTE7YWQSQuagfLNneMRWO8ioedhr/o7RxNT+cQCSzq6OP0BxZbjMvbuCRtr0ItpEItIt6b2qkHY2a6/IFFgX5rG5ek/dhmXEm2awTZzpEsi/mmrYtzwCV6MgGktyKCrcblDLNPobdjFL/GviW94u2MBBZC7Ec6n4GxNf5pQBfEfEyVrrRVzutTvBTpd9RrydP7jMR5Uoj3pgb+T8PqTcLijfP/+OKxeK3o0GPApB3X2l9e2w3rA4HF0E5ZKWiIwWvWWqc7/ew/AApsN6xjqOMIsp0jO2VgYfRaSPCmA7UzZYnA30e1P03M4o3H1goznXUkSVpgUdDGJWl/dho24FBqiPUlkunuLT197YwEFgdAsHU5zd2LGG88Bp8Zr+LGjZMatZJqtZQqtYwqXXGnn3LxYDPEfhixvkQq1CLWmeft98dzK05K9XsopZHFlHz4ezV8MdqCakW61k01yDOugWro6u6H2WvFrla16vk7qi7uvqiolKt7Wy3I7Oi2mpYHAotR/OrrfK2PyZ6uAFSpJbIWTIhqXRkF+m1kuLPp7Rx1QD4/25NgKlSp9FjU41/TZxUDHBPo5xgvgUU7I4HFfmTxxjOmZgYDHROx+OKiOsamVFKhK6ZSLaJCV0SFWkSl9r8EHh2KD4bbjwZgueXbFg2QblWKfxyGg/1XianQFbJXl0e6pxd9nKNZZ/5tvz1WR9LN1R+AXYZNbVyS9mOH4S+cig2rt3O2PgYDixKdTM9c12bjEjLc2Qy0T+iEgYWkQjVmo2kRAxwTGOA4lPmxH3bqFdrbGwks9pN+jkOYWnWh1iLsVGwU6HOpVItxKXZUdOh9RmK8CVi9iVgDufEWXxwWdxwZZEU8rz/wqA04KtVibGoVdqVK+9+uVuHGKbOLtLEMd2+SPJm4cLDBtLCti3PAbTYtIb2mF30d4ySwCOjq8g+03y2BhcaruNlmXMUAx6H0dxzS+QILtz+wKJbAop6NpkVMqDmdru7+JHjSKdftbesiHRA6n4F4byogPRYN2W5YS5VagtWbTG/nSDablrZ1kUSABBb7wZia45hYczoABfpcFsd8Tp5hDT6l8QGyRq+FOG8K8Z5U4rypxAdy5YO3zb7YkMAju9FzuXHhUGpwKw5cIT+htz248eLBo/j/9yoe//948CgevLi1bQA+vPjw4VN8/v/x4sPLLsOmTj+7TSSDHJMA2GJa1ilXo84xLWFizel0dw3C6knq9Kk/qk9Hhtv/dxucp1/4bTAtYIDj0EDr4wd4OlHrY7KnG4AsKBlBta6MHYZ19HINY7B9cqdZFyfBkwaAXanGrkgaaSQ+xcdfpvmMs53IMNtUCSzaEQksWtkQ+xFaULHU8jWLYj5tMqAIcqo2itWdFOt3Rrzf6LWEDMpNJc6TSpw3GbPXitnn/7F4Y9FhQI8BvS8BDkC68k79Bj5NfHz/P1AHovgU+jrGAv5KU2dUoStkp34D3d0DGWw/nMWxn7d1kdpUsqcbOvTYlSpZBK2OHYZ12ircvZ2jOtX6HsFUqGLdrjYuSfu01jyPXq5hDLUfyZKYrzrFlMRx3hQAKtUiyTxoxBrzr4y2zaC7eyAZrt4UGGRWtfZAAotWlOruweFV5wLwp+XzVq9IOVUbRWr9mYDC+MCACbPXiskXg95nxOAzYfCZ0Af+N+D/X+fTo6JD9enRoQv8Xvu/Dj2qT4eCiqL9UwEFxee/lenuQ3f3QFLc3RsMiDqjdHc2Fl8cDqWmU7dOr7X8SvfKgQxxHM7SmK/azziTNhBcRbdQv10qC3X4Wx9/Z7ztZEbYjiHHuKRTvEYGr5k4bzIApbpGJlzoxLYZV2gLog22T2a1ZW5bF2m/i/MEAgtdSRuXpH2r1pWy0bSIwY7JjLUdz9eG59u6SAIJLFqPT2Fq1f+hx8BW4woWx7RR66ziX5/ApXNQSfF+f7jpFVfRzzmOofYjmWd9a78/XkeR5RwG+KfS7MyV6S3G5dQo5Vi9SfR3HMIGc+fsvYHawKK1Z+A6WKy2/MJo23F0cfelq7t/pxiHkhiYZrZGKZcZoRrgU3ystPzAkdUXMMZ2AuvNfxz0vRbBYLNS3f/f4R3dMss3DHRMoLdzFF1dneNzo71T27oAB4tBjklkuLNxKjbmWmd3itY2gLXmXwEYaJ+I2RvbtoVpR3q5hgOQa1zdxiVpW17FzQrLDwCMtR2P4uskfxgRpLl7AciCgQ2wqRX8Zf4DgPE1Jx+QNM62Fh/IpS/XSWpcY9aZf6dCLcLqTWSk7Zi2Ls5+V5sKJYFFU8r0+awNzBh2eNU5qD5dG5dISGDRChSfyriaEwFYbPmyUy3ks9PwF4W6PIyYGWE7uq2L0y4YvRbSA5XI7ca1bVyatrfG/At2pYokTxcGBga0dzo+RVsJvVC/vY0L034ts3yDGxc9XIPIco1o6+Lsd8FBuhUSWDTKq7hZFOMfuD225gQSPOltXKL9S1KhmmdxzOfYlCrSPL20BWlF25HAohX0dY4lwZuGTalkteXnti7OgaXAkpivABhhPwaz19rGBWp7Xdx9UVApUwuoUcvbujhtzqXaWWr5GoAJ1adi8JrbuEQHXrw3FaPPjBuXTB/ZiEpdMassPwL+1keDz9TEER1bvDfQY6EWtXFJ2r+NpkXsMKzHgImjKi+Gg7j3U3osmsemVjLP+iYA42wnkOFqfNZMsX9JYNEKgl2zqy0/41FcbVyaA2+LcTmFujxMvhgOqflbWxenzXVx9QVgjyGnjUvSfqyy/ESpmk+sL5HJ1We1dXEOuKSQxa6inSWus1pi+YoKtYgEb/pBf61Ij0UzKPCz9XWcip1u7gGMsx2cLdOKTyXWmwT4A20RnRzTEjYZ/0RFx/EV12L1JLd1kTotCSxaKMndhUx3H7x4WBMYb9DpKD5+j30PgKH2I8lw9W7jArWtLq5+AOwxbG7jkrQfXsXDL9bZ+PAy1HEE2Y6RbV2kAyrJ0wWQxa6i4VLt/GR9DfB/nvRxjG7jEu0/tWMsOsfCby1VqSvmt9h3ADi05hT6Osa1cYlaX6w3ERUVDy5qlM6TVt0afrHOoUi3g1hfIidV3IDZG9fWReqUJLBooYGOCQDkGdZ0qrEVde0ybmSDaSEqKsdWXnbQpzA0JHQRtN166bEItcu4kRWW7wE4qurvB32edKgktwQWzbHLuIEVZv+1ckzlZQdlY4XiU7SUF1nXJHp/mf9ghdk/IcQxlZeS5RzexiVqXcFrokotBaUTzGDQipyqjS/jn6VKLSPF053Ty/8lPRdtQAKLlvBBf8ehAJ16Gs2g32LfplItJtGbwRFV53WKWV3qSvZ0xYAJh1IjlcgIFsZ8SoF+KxaflZPKb8TSSVqUgqlQslZB9ObHfkiuYRUGTJxYcb02q9bBwupNRoceDy6q1bK2Lk6HMj/2fTYbl6LHwHEV1zDAfmhbF6nVWL2JQCCwEM1WpSvl0/jHqVSLSfJ04ayyu+jhHNzWxepUJLBogVRPD+K9qbhwsM24qq2L0+Ycag0/Wv+HFy+DHJMZe5DmwDYmVVsELU9amyLwKm6+jH+OcrWQRG8Gfyu/hVhPYlsXa7/TAgu9BBbR8ilevov/TyAQjePU8tvo6RzS1sVqNfGeVAAq1GJ88lnRLD7Fx/dxL7PRtBAdeo6tupwjqs5H5+v4S3PFBAILmfhj35Xp8/ko4WGKdDuI8SVwcsVNHF51LiZvTFsXrVOQwKIFspz+6RB3GNd1ykHbkewybmRerH+hvAk1pzK8k01Bq62uLIugNcimVvBF/DNUqWWkerpzevkdpLp7tHWx9huTN4YYXwIAZWpBG5emY3EpDj6Nf5IdhvUYfWZOqriRQ6tPPSjmqrcGFkGrkilF94lX8fCj9X8ssfhnJRxun8q5pQ/Qo4MHn7Fe/2dFlfRitUiVrpQPEh9krWkeCioj7EdzQekjDLcdhd5nbOviHdQksGiBbOdIAOmtqGOt5Vftw/6I6nM5tPrUg3pqwFDa6sqyVkGj/C1KD1GmFhDvTeWMspkMt009KBfQSwz0VlSppbhUexuXpuNxqXa+iH9WqyCMs53AuWX30yuwun1HZQ3M/FOlSmCxr3yKj0WxnwQaKkr9vaAVN3Nq2W10dw7qkOm4sVqPRVmbluNg4FFc/BI3m8/in6REtxuLL44jqs/j/0qe4NDqU0lyZ7Z1EQ9KEljsI7PXSqbbP6Cws6+uHMmimE9YGFjQaJztBE6uuJEYb3wbl2o/C1sETVZXbkqlrpgPEx9km2EVegwcUX0+Z5bdpU3Xe7CoXatAZv7ZV17FzS9xs/k27t/UKOUkebpwUsWNnFb2L3o7RnXIgFTrsZBc+hbLM67hrcQ7WWH+AQ8uurkHcErFLZxX9iCjaqZ1qAG8wcCiWlKhWs0O43reTbyHX2LnUK7uxeKLY5ztBM4ve5izSu9mbI1/7YuO+DnSHnX8hMQ20s3VH4Ai3U7JhYxEgaUxX1GllnBk1QX0dA3lvNKHWBTzCWvN8w7KufzjvamYfDGyCFoz2NVqvoqfxXD7VA6tOZV0Txanl9/BDsN6llu+Y7thXYcfq5IQzKWXtQpabLNpKdsN6xhnO4ERtmPo6u5P18r+VKol5JgWk2NczF59LnSA+kFtj4UEFq3Bpdr5w/oeKyzfM8Y2g8H2w0j2dGVyzVlMrjmLQl0e24yr2W3YSL5+a7vtPYwJpEJJvaJ1eRUPay2/ss48j97O0QyyT6KnayjpnizSa7KYwKnYlSp2GTaxV7+NAn0uhfpc7Gp1Wxe9w5HAYh91cw0EYLdhYxuXpH3bYF5AgT6XYysvI93TiyOrL2CUbTrLLN+wwTwfj+Ju6yK2mhR3NwBKdbvxKp42Lk0HosBqy1xyTEuYUH0agxyT6OEaTA/XYKrUEnKMS8gx+SuMHXGQqzZIVyerK7cGp2pjfuyHrDT/yHD7UQy1H0GcN5nRtumMtk2nWiljl2EjO40b2K3PoUy3p11eN1ZPILDQSWDRmqp1pfxmfYeFMZ/Q3zmegfaJZLr7kubpRZqtF9hOxIuXIt0OCvW5FOl3UaLbSZF+F3a1sq2Lr42xkJnC9g+f4mOLaRlbTMswe630cYyhl2so3V2DMPus9HGOpo+zdu2cSrWEUt0eynT5lOr2UKrLp0xXQLVaJt/zDZDAYh91cw0AYKdhQxuXpP0r1e/mg8T7GWafwviak0nwpjG1+iIm1pxOjmkxm0x/kq/f0uH/SIOLoJXIzD/7xKZWMjfuDRbHfMFI2zEMdhyG1ZvMKPs0RtmnYVeq2GnYwG7DJvbq8yjS7Wi3rY6hgqlQFaoEFq2pWlfGwtiPWRzzOb2cw+nnGEe2cySxvkT6Ow+hv/MQAFw4KNbvoki3gxL9Lsp1eylT91KhK8Lbhg0bMsZi/3KpdtaZf2Od+TfM3jiynMPo6RpCF1c/4r2ppHt6ke7pBY7aY2xKJRW6QirUIip0RZSrhVToCqlSS6lWy3Aqtv3aG6bz6TH7rICkQh0IdrWKdZZ5rLPMQ/GppLuz6OLuS7o7i3RXFkneTOK8ycR5k+npCp8UwIuXarWMSrWYSl0xVWqJ/3e1hBq1nGq1HJta0eHrNftCAot9YPbGarn0uw2b2rg0HYNP8bHaMpf15j8YYj+ckbZjifemMsw+hWH2KTiUGnYY1rPbkMNe/TYK9dtxK862LnazJGurK0tg0RJVuhL+sL7PwtiP6eUcRn/HIfRyDcPss9LXOZa+zrEA+PBSpu6lTJdPmW4v5bq9lOsKqFRLDkglIFrB1ZUlFWr/8ChutpqWs9W0HNWnJ9Pdm+6ugXR3DiLdnYUBE5nu3v4xcSGVSB9eKtUSKtQiqnVlVKtlVAcqkFWq/7ZNrcCFo9WvI9Wn12YKk8Bi/7OrlWwwL9DWm4r1JNHF3YcUdw9SPN1IcXcjwZuGxReHxR1HBpEXZHThoFotC1Qcy6hWy6lWS6lRK7CpldiUSuxqFTalCpdib/Z1E0yDcuPCoUgKzoHkU7wUGLZSYNiqbTN6LSR7upLk6UKSJzPw04V4Tyo6DFrQgbtfg+e1KZVUq+XUhP4oFdSo5f5rRq3EplRhV6s6XJ2nIRJY7IOMwKDtUt0ebO2g67QjcStOVll+YpX5Z7q7BjLQMYEs5wgsvriwSqMXb6DC6O92LNMVUKEWUaWWUaOW4VBq2kWlMVSSpysAJbrdbVySg4O/wriCraYVWmtSD9dgMtzZpLt7YfUmk+TNJMmbCRFmew5WAoIVgRq1ArtSjV2twq5U41CrsStV2AP/OxRbq4/nUHyq/4sHKJcei/3Oq7jZbdjEbsMmFsd8geJTSPCmk+ruSZq7B4meTBI86SR40jFiJt6bSrw3FRrpuHDjwqZWYlcqsalVgd+rwiqSdqUap2LDodbgUGpwKrZGWyqDi6C5cWKXCuQBV60rZbNuKZtNS7Vtep+RRE8G8R7/NRHvSfP/eFOxepMw+WIwYCLRm0GiN6PJx3Djwh5SadSCDrXS//mjVONQawK/1+BQq7W0yRq1vN19v3VGTtVGvrqFfMOW8Dt8CjG+OOI8KVi9ycR5U4jzpBDn9d+O9cZj8cajQ+8PVj1x4One5OO5cGiBqV31f94EP2vy9VvZYVy3n55p6zrggYXRaOSRhx/ihBOOR1EUPv3sM+688y7c7o6Ta5/h8gcW+fqtTewpGqT42Gn8i53Gv8CnkO7uRU/XEDLcvUl3Z2P1JpLs6UpyoLJelxtnoMJYgUOpDlQO/R/QdrUah1KFQ7XhVGy4FAcuxY4LB07FjltxtH7OtU96LPanSK1JFm8cqe4e/oqiN53EQIXR6k1udiUA/C3YDsV/zTgVe+DasQduB7ap4ffX/u6/rpyBa82DCxR/uouKTlZXbiM+xac1TGw2LQm5Ayy+eBI8acR5U4j1JmL1JBHrTQz7MWBCH2yZJBmakdXgxI4zEGg4FFug8ugPOgyBefSr1FKpQLYTbsVJkX4HRfrIaxDpfUZivAkh10ft7zHeeMxeq78S6Y1DjxE9BqzeZKzNvG5Axle0e4ov0OtQQQHbIu/jUzD7Yon1JhAT8hPrTSDG5//d4rVi9lmxeOPQoceACYPXRBwp9a6Z1eafJbBoyF0z76R//34cceRUfD4v/37xRe64/V/c/8CDB7oo+yzDnQ3AXn0DF5RoHsXHXkMuew252qZYTyLJnm4kejK0nzhvMrHeRMw+K3qMJHj9Fcp94SIQbCj+YMOlOHArDtyKCzdO//+KEw/+/4O3g/d5FCfukPv0PiNGnwUvHsp0sgjagWBTK9lhXM8O1te7r34lIBGLNw6zLxazNxazz4rJG+u/7bNi9JlRUAO3Y1tcNi9e3IoDT6ApvEIt7vCzWx1UFLApFdjUCvLZEnkfH+gxYvHGBa4dfwXA4rNiDmyzBLYZfTGYAj9GnxkAI2aMXrO/YtkAGdDfcbgVp3/8RRQpjXqfMSTQCFwv2vUTh8kbi8kXg9kbi8kXG7h2LCiBFQAkxfogoPgCPeJVFLOr8X19YPCZA58ttQGq/zPHf/10pGvigAYWiqJw/vnnceZZZ5Of75+O8+577uGrL7/gwYcexuvtAFOQ+moDiwIJLPabal0Z1boydlA/Qtf5DP4WRm8i5kBl0eSN8f8fqDj6P6hjMfhMGHxmDD4TRp8ZFf+KvQZMGHymVl9AqVxX2CkHa7U3zakEAKg+HWZfLEavv2Jo9FkCP6G/h9z2ht/nv85MGDD5z4eK0WfRzl+vK120f4q/Z7RS5x+cGfVhPv97H6wsmrzBgCMQfARu630G1prn7ccnINqKW3FSpSuhiujHzyg+BaPPgt5nlB6LzkYhkFVhPygaGw5oYNE7O5uYmBhWrqxdqXrduvXo9XoGDBjAX3/9Fba/0WjEaKxdet1qtR6wsjZkeuVVWHxxeHBT2ECXqdi/PIqrWZVGjQ9/d2Mg0DD4zBhDgg69z4geIzqfEb3PELgd+L/O7zqfwd/dHbKf6tOxxvzL/nnSYr/yKh6ta7slFJ+CPhBgBIMNnc9AoazE3mn4FK8/fx4ZOyGi51N8/nQ5atq6KEK0yAENLJKSk6mursblCh9pWVZWRlpaWr3A4obrr+PWW285kEVsUmhvRVtOVSj2gQIe3HiUKuxUtXVpxEHIp/i0lichhBCiszmggYXPFznvRFEUPBEGbz876zn+/dJ/tNtWq5W1a1bV2+9AWhLzJUafma3GlW1aDiGEEEIIIdqTAxpYFBcXERsbi8Fg0HotFEUhISGBvYX101qcTidOZ/ua13e9+fe2LoIQQgghhBDtjnogHyw3N4/S0lJGjBihbRs61L+a4fbtkoMshBBCCCFER3VAAwuA119/g3vunklmZibp6Wnce889fPjhRzgcjqYPFkIIIYQQQrRLB3wdiyefepr4hATm/ToXo9HIN998y113332giyGEEEIIIYRoRUpKanqHWbXJarWSu20LWdl9qKqSWX2EEEIIIYRoLw54KpQQQgghhBDi4COBhRBCCCGEEKLFJLAQQgghhBBCtJgEFkIIIYQQQogWk8BCCCGEEEII0WISWAghhBBCCCFaTAILIYQQQgghRItJYCGEEEIIIYRoMQkshBBCCCGEEC0mgYUQQgghhBCixSSwEEIIIYQQQrSYBBZCCCGEEEKIFpPAQgghhBBCCNFiElgIIYQQQgghWkwCCyGEEEIIIUSLSWAhhBBCCCGEaDEJLIQQQgghhBAtpm/rAggh9g+9qiclNoWUmBRSYlNIjknCaooj3hxHnCkOqymOOJOVhbkL+WDlh21dXLGPYo2xDO0ylKGZQ0i1pjF78WzyK/P3+XxZyVmM7zmOLgldeWvpWxRXF+/TeTLiMji01yGM7DaK5TuX8+W6L/e5TKJxBp2BidkTmZw9mRU7l/PNX99GfaxO0XFYn8MYnDmYt5e9TbmtPKrjTHoTxw8+jgHpA3hp/n8os5VFdVy3hG5MHzSdpduXsGr36qjLKaKjU3Qc2e9IDu11KG8tfYu80rwmj0myJHHGyNNZtXsVf+YtbnL/SdmTmDbwWGYvnsOW4i1NnvvkYSfzx9Y/2Fy0udF9E8wJnDvmHDbt3cTPOXObLIdonySwEKKDUlDontidHok96J7Yje6J3emW0I1uCd1Is6aRYEmI6jwTsibw4cqP8OFrcZlSYlMYmjmEPql96BLfFYvBjNfno9xeTnF1MTvKdrC5aDM7S3fi8Xla/HidkaqojOg6gkOzDmFcz3EMzhyMXq39KK92VvPC7y8065wD0vtzdP9jOGbA0XRP7K5tt7lsvLLglajPkxyTzDEDjubYgdMY0XW4tn1KvyMlsNgPBqQP4LQRp3F0/6OIN8cDcFT/qVEFFgadgROHnMCF4y6ie2I3AEprSnl3+buNHmfUGTlz1Jn83/iLSLQkArBp7yY+Xv1Jo8elW9O5fOJl/G3Y3wBY1/swLnrn/5osp4iOXtVz/ODjuPiQi7W/YbvbzlO/PNXgMTpVx7mjz+GSQy/BarKytXgrZ75xVoP7p1vTufWoWziy75EAVDoqeWLukw3uf/LQk7hr2l0AjOo2kus/vaHBfacNnMZDxz8IwN7KvRJYdGASWHQiqqISY4wh1hhLjCGm9ndjDCa9EaPOhFFvxKgzBv43YNSZMOmNGHRG7X+dqkNFQVVUVFVFVVSqHFUUVhWypyKfLUVb2Fy0mUpHZVs/5YNKr+RejOo2ikEZA+mX1o++qX2JMcY0eozL46K4upji6mJKakqodFT6f+xV2N12rjnsH+h1ekx6E3a3vdllSremMyHrUA7pdQjDuw4nMz4zquMcbgebi7awevdqVu1axerdq9lbtbfZj99ZKCiM7j6Kowccw5R+U0iNTQm7f2fZLtxeF1nJWcSb4qI6p1Fn5JgBx3D26LMYlDFI2+5wO6iwV5BmTSPRHF1w2ie1D+ePOZ/pg6Zh0BkA8Pq8bNy7kUEZg7CarCgorRK8dnYKCkf0PYJzRp/DmB6jte1urxu9qtcCjMZMyp7ELVNv0QKKoDhz49fOlL5TuHnKTfX+zq0ma4PH6FQd/zfuIi4+5GLMBrO2PTk2uclyiugcO+AYrjnsGromdA3bbjU2/L70SOzBg8c/yJDMwdq2eFPD186k7IncN+M+LZgEf29pJDGGGO445namD5qubcuIy4i4r0lv4pap/9QCToD0uPQGyyHaPwksOjCdoiPVmkpmfCaZcRkkWZJJtCSSFJNIkiWJhMDv8eYErMbYsA/1AyG/soB1e9ayevdqVu9ew4a9G3B5XAe0DB1ZRlwGh/c5nLE9xjCq+yiSY+p/EdtddraXbmdn+S52le9iZ9lOdpXtoqCygOKaYirsFQ2eX0HhmsP+AYDFYIk6sEiNTWXawGnMGDSdgRkDw+7zeD1sLd7Kxr0b2VW+iypHNaqikmhJJDU2leyULPqk9sFisDAkczBDMgdzzuizAdhTsYdVu1axctcqVu5aydbirXh93mhfroNSgjmBE4eeyGnDT6VHUg9te4W9gvnbFrA4bzFLti8hvzKf88acx41H3oDZYGn0nKqictzg47hy4hVaBdHusvPH1j/4adPP/LH1D84afRbXHnZNk+fKiMvgH5P/wXGDZ2jb1u5Zy3d/fc+Pm36kxlnD79f9BoDZYMbmsu3rSyHwV+6unnw1A9IHAOD2uPlp0098tuZz/ir4i3nX/gr4K2sOt6Pe8QnmBO485g6m9p8K+FuGZy+ZQ6+knpw56kwsDbzfscZY7jjmdqYNnAZAfkU+L83/D8O7DuO0Eac1eJ10je/Koyc+wuBA5XX5zuV8/9f33H7M7RhUQ5PP16Q30SelD6nWVOJMVvSqHrvbjt1lp9xeQUFlAXur9uLxds7ez76pfbll6j8Z02MMAEXVxby5ZA46Vcd1h1+HpYHv/IlZE3nkxIeJNcZSbivn/RXvc/nEy7EYI7+P5405lxuPvBGA9fnrWZe/njNGnh7xekmyJPH8ac8xMGMgbq+bxXlLmJg9AUWpP6Q31hjLM6c8zejuo/H6vHy06mPOHHkGQKMNERlxGYzoOpy+af1IiUnWgh2nx4nD7aCkpoSiqiIKq4vYXb6bvNI8qhxVjb+YotVIYNHOqYpKl/gu9E7pTXZKFtnJvemW2JUu8V1Is6aFpUBEy+l2UuOqodpZTY2zhhpnDXa3A6fbgcvjwulx+n/cgf89LpxuB06PC5fHidvrxuvz4fV58fm8eH0+4kxW0qzp9EjsTp/UPnRN6EpmXAaZcRkc1f8o7XH/2ruB1btXs2b3albtXr3P+dsHq15JvZg2aBpH9DlcqzwE2V121u5Zy9r8dWzau5GNhZvYUbpjnyvfPnzYXXbMBjMWg4VSW2mj+4/sNpILxp7P5N6T0ak6wB9IrMtfx6LcRSzbsYy/CjZQ46pp9DwKCl0TujIkczAjuo1geNfh9E/rT5f4LnSJ76K1clU5qli1ezWrdq1k1a5VrM1fF7GydDBKiU3h0kMv5aShJ2LSmwD/6/Hzpp/5adPPLNm+BLfXHXaMPVBpb6gyAf6Up7un3cOA9P4AFFQW8MGKD/hszeeU22tz65s6l4LCeWPP48qJV2A2mPH6vPy86WfeWvoW6/LXh+0XZDFYJLDYR71TenPbUbdpPRRVjio+WPEBH676iMKqQsD/XRFkMVjq/a0MyRzCYyc+SmZ8Jm6Pm7eXvc1/F/4Pu9vOZRMuBSAmQkWxe2J3nv7bU/RO6Y3b62b24tm8uug1nB4nfVJ7a49X15juo3nspMdItCRSbivniblP8t2G77Q0nYYauqwmKycNOZGjBhzN0Mwh2mdNQ7w+L8XVxews20luSR65JdvILckltySPPRV7DsrGCb2q55JDL+HiQ/7PH2y57Ly++A3eWvoWDreDE4ecCER+X04aeiJ3HHMHelXPsh3Lufvbu3F73f7AIsL+V068kksnXALAhys/4ulfn+bYAccGAovwHvOU2BRePvM/ZCVnUVxdzC1f3IrH62Zi9oR6nyWxxlheOuPfDM4cTJWjilu/uI3Vu1drgUXdhggFhaMHHM0ZI09ndPfRNFdJTQnbS7eTV5LH9tLt2jWys3xnpw1M9xcJLNqZbgndGNplCEMy/T8D0gc02tPg9rjJryzQWqjLakops5VRaiujNPB7ub2cakc11S5/IHEgeg1ijbH0T+vP8K7DGNZ1GMO7Dic5JpkRXYeH5V7vLt/tDzT2rGHVrtXkFOV0uj/yWGMs0wdO44QhJzCs6zBtu8frYdXuVSzYtpDlO5fzV8Ffrf7e2Vw2LbBoyJDMIdx45A2M7DZS27Zq1yq+Wf8NP+X8HPVgzyAfPnYFelh+2Pgj4P8CHNplKCO6jmBEt+EM7zocq8nKpOyJTMqeCPiv9b8K/mLV7tWs3LWSdfnrtErVwSLWGMuF4y7g3DHnau/JhoINfLjqI77/6/tGe5VsWjBQ/71UFZWLD7mYyw69FL1OT7mtnNcXv8GHKz+MGKw1dq7kmGQeOv5BxvUcB/hboZ/+5Rk27N1Qb9+6wWtD0q3pDMkcQu+UbJJj/S2QOkWH1+fF7fVQ6aigzFZGma2c0ppS8ivz2VOxh5LqkoM6vcqoM3LJoX/nwnEXYtAZsLvsvL/ifeYseTMsEAR/BTv0tQ4dTD2592QePeERzAYzeSV53P7VHWwq3KTdb3P5r6u671GflD68dOa/SY5JZm/lXm754lbW5a8LOS5yADohawJPnvwEJr2JdfnrueXzW7RUx+AxddM4FRROH3k6V0+6Kiwlq7i6mD0Ve6h0VOLyuDHpTVgMZpJjkkm3pmPUG0mzppFmTWNU91Fh5wz26OaW5vkrksXbyC3JI680r8M2UvRJ7cN90+/Veot/3vQzT//6DAWVBdo+wde4bk/SjEEzmHnsTFRF5Yu1X/Lwjw/j9rq1lCZVUcN6u84ZfY4WVDz/+wvMXjwbiNzwYNabefaUZ8hKzmJPxR7+8dE1bC/dTu+U+sGnTtFpPVmlNaVc8/G1bNy7scGGiMy4TB46/kFGdBsB+L8bNxRsYH3BXxRW7aXMVobX58OoM2A2mEmOSSHNmkqaNY3uCd1Jj0snOSaZ5JjksO8x8H+v7CjboQUa/v9zpZejBSSwaGMpsSkc0nM8h/Q6hPG9xpNmTau3j91lJ690O9uKt7KtJJcdpdvZU5FPfmU+xdXF7bJFptpZzYpdK1ixa4W2rVtCN0Z2G8GwLsMY1nU4fQM9G10Tumqt1HaXnXX561mzZw1/FfzFpr2b2Fm286CsPKRb0zl79NmcOvwULUfZ7XWzKHcRP278iT+2/dHsSntz2Vw2kkiKGLwmWBK4+cibtTQXh9vB1+u/4e1lb5NX0vRMI80tx5LtS1iyfQng/+Lpm9aHkd1GMqLrCEZ2G0l6XDrDAoHq+WPPA/yVjo17N7Fh7wY27t3IhoIN7Crf1aplOxAMOgNnjDidvx/6d61bf9Xu1bz4+4ss37k8qnM0VDmMNcby0PEPMrn3ZMBfEXnkp0cbncWnoXP1TunNM6c8TbeEbtQ4a3j612f4bM1njZarxlWD2WCud40ZdUb+NuxkThhygpYq01wOt4P8wGfh7vI97KnYXft/xR6Kqoo67GfH2B5jueOY2+mZ1BOAXzf/yhNznwyrQNZld9cP4o7qN5WHTngIvarn9y2/M/Obu6h2VocdF6kimp2crQUVGwo2cP2nN9TrYY50nYzrOU4LKn7J+YWZ39wVVom3B44JrcQadAYemHE/Rw84GoAtRVv4aNXHzNs8r9GxVwoKSTFJZMRl0DOpB72Ss8hOziIrOYueST0xG8z0T+9P/0APXajd5bu1imReoDKZW5JHcU377EVXFZXzxpzLVZOuwqg3UmYr45GfHuXnTT/X2zdSwDcxayL3TL8bVVF5f8X7YYOuQ3sGzAYzDreDI/oczo1H3gDAc789x5wlb4bsX/99v/+4+xmUMYjSmlKu/OAq7XM4UiPFjUfewISsCdhcNi2oAH9DhM1lw2KwaPv3S+vHS2f8m0RLItXOat5a+hafrfm8WY1KFoPFf30k9aJnUi+yknvRK7kXWclZWAwWslOyyU7JrndcUVWRFmgEr5UdZTvIr8zvdA2gzSGBRRvontido/ofxVH9ptb7QnW6nWzcu5F1+etYl7+edfnr2Fm2s10GD80VbKX+ev03gH+A15AuQxjedTjDu/grjPHmeMb0GB02KLHGWUNO0WY27d3Epr2byCnKIbckt8O2JvRO6c35Y89nxqDp2kDXLUVb+WLt53z31/cH9IutoQrkob0O5d7p95BqTcXr8/LVuq95af5LB6yHwOPzsHHvJjbu3cT7Kz4AoEt8F0Z2G8nIbiMY0XUE2SnZpMSmMDF7AhOzJ2jHVjmq2BZomcwt2ca2wBfDrrJd7W4mKlVRmT5wGldOulIbeLmteBsv/PEi8zbPa9a5IlUOEywJ/Pv0fzMgvT92l52Hf3w4qhmDIp2rf1p//nPmS8Sb49leup0bP70pqqksI1UsjuhzOLccdSuZgQGdHq+HnMIcNhXmUFi1l3JbOS6vG1VR0KsG4s1xJFoSSbQkkhyTTGZ8JunWdEx6E70ClYRInG4neyr2sKdiD7sr9rCnfDe7A8HH7ord7bLHI8GSwI1H3MAJQ04A/OMgHp/7BL9u/rXJY20uG4mWRK1CObr7aB447gH0qp5v1n/Dfd/fH7FCVLcFOsGcwDOnPENyTDJ/FfzFPz66JuJ4LZvTn/YYvE66JXTjsRMf1YKK27+6o17KXt1KrNPt5NETHuGIvkfgdDuZ9dssPljxYVTviw8fJTUllNSU8FfBX2H3BdOIs1OyyUrOIitQkcxKziLRkqg1aoV+doD/+2ZPxR52le9md/kudpfvZlfFbnaX+3/qBmUHQpf4Ltw3414tBei3Lb/x0A8PN/hdUfdvLjMukweOux+9querdV/x5NzwmaK8Pi8Ot8PfG6S3YLQauWf6PaiKyocrPwoLKiKd/5RhpzC13xQcbgc3f/7PsMad2s8SM6qiMr7neM4OjKub+fVMLagI3d9isGA2mOkS34UXT3+BREsifxX8xa1f3Maeij3Nfv1sLpv2fRJKQSE9Ll27NnolZ5GV5L9W0uPSSbWmkmpNZWzPsWHHebweCqsKA58luwOfLf7PlPyKfAqrCnF6nM0u58FCAosDJMmSxPFDjmfGoBlafjP4/6A3FGzgz7zF/Jn3J6t3r+40F2SNqyaslVpBoVdyL0Z0Hc6QLkMZkNafPql9iDHG1EuhAn/OZF6gW9v//3Z2lu1kT8WedpnLParbKC4cdwGH9TlM27ZsxzLmLJnD/G0L2qRM9giVvssnXMblEy8HYGvxVu759t56X9ptIVhB/DZQMTbpTfRN7cvA9AEMyBjIgPQB9Evti9Vk1Xo2QjndTnaFVBT2BL4Qdgcqm/u7d6iuSdkT+cfkf2itqQWVBbyy4BW+Wvf1PgVANnf9ymEwqCiqLuamT29ifcH6xk5Re646Fc3eKb359xkvEm+OZ/Xu1dz46U31UnEaYq8TvF49+Wr+fsjFgH+ChzeXzOGHDT82OcanLp2qI92aro3N6ZrQJeT3rmTEZWDUGxsNPEJ7PAqrCimsKqKouoiiqkKKqou02wfiM1lB4aShJ3Lt4deSaEn0D2Zd+REv/vHvqCuzoQFh98TuPHXykxj1Rubm/MK9393XYANVaEVRp+h4+ISH6J7YjZ1lO7nmo2sbnARCS2syWDDrzTx58hPEm+NZs3sNd3x9Z72gAupXYs+ccAZH9D0Cu8vOTZ/dzOLtTa+jEA2vz6s1Zv2x9Y+w+xIsCWQlZ5GdHB50dE3oSowxhj6pfeiT2ifieSvsFYFrpZC9VYUUBf4vrC6ksNL/f0l1Sas0YigonDzsZG444nqsJivVzmqe+uUpvljb+NTN2vtpjEGn6njsxEdJsCSwds9aHvrx4YhBm81lw6Q3EWOM4YYjbiDeHM+6Pet4MsJ0sqHBQpf4Ltxw5PUAvPj7i6yuszZJ6HdxamwqM6fNBODd5e8xb8tv9c5d47SRHOMfa3P70f8iOSaZjXs3ctWHV7d6Y6IPHwWBVPK663fEGmPpFejdCAakvZKz6JbQFbPB7J80Jz6zwfEeZbYyiqqK/NdIdaH2+VJY7b9miqtLKLOV7dNsjO2dBBb7UTA6P2X43ziizxHodf6X2+11s3T7Un7a9DPzNs9r9hfqwcqHT+t2/HztF4A/JaZnUk/6p/ejf5q/S7tPSp+wnMm6ebXg/6MuqCwIVEbzya/I949DqS6muMY//eqBaHkKLlZ0/pjztIqu1+fll5xfmLPkzbB85bYQWoHUKTrumjZTayn9YOWHzJo3q93mIjvcjkDPXu1rqFN1/hanlKxAxSGL7JRseiX1wmwwN9jlDf6WysKqQoqqiymuLgpULP23/ZXNIkpsJVTaK1vUg3hor0O5dMIlWq5vhb2CNxa/wfsrPmjRax0aJOpVPU/97UktqLjiFFHrAwABAABJREFUgyualb4Weq54czxP/+1pEi2JrNuzjms/vq5ZfzuhldZrD7uGi8ZfBMCcJW/yn/n/2edKu8fr0YLNSHSKjjRrmtYy3TW+C13iu2oBSEZcRpM9HkHltnKKqosprSkJjPXwj/eo/T38p7mVhTE9xnD15Ku1xpOcwhwe+vFh1u5Z26zzBHsg40xxXHfYtcSZ41i1ezV3fXNXo9dsaM/luWPO4ZBeh1DjrOHmz//ZaAAZetwVk66gX1o/iqqLufXL2xodDxasxI7sNpJLD/UPHH/kp0daLahoSrmtnFW7VrFq16qw7UadUQtMuyZ0pVtC18DtbnRL6EqiJZF4czzx5vgGA4+gMlsZ5bZySm2llNaUUmorqzcGstRWSpWjimpnNdXOau0106k6JmZN5LIJl2pZDSt3reSeb++NKtVT+5vTmzlvzLkM6TKEcls5//ry9gbfF7vLDhY4feTpTMyegN1l5+7v7okYINU2Ylj411G3EWuMZcXOFby34v16+zrcDrw+L6qicuORN5AZl8H20u28+PuLDZTDf+4Lxp7PyG4jtYHdBzpDodpZzfqC9REbY5Jjkms/UwL/+293JTM+E5PepPWw9k3r2+jj2F32wDURuDZqyigL+72MCnu5v1dkH3pr2oIEFvtBujWdk4aexMnDTqJLfBdt+9o9a/l8zRfMzZkbdWtfZ+fxedhWso1tJdv4fsMP2vYYQww9knr4cyWT/BWDXkm96BLfhQRLgvZHXXdmpVAOt0Nb38EfcJRQYa+gwl5Ohb1S+7/SUUG5rYJKR2XUFarMuEymDZrGGSPP0NI9HG4HX637ireWvs2Osh0te2FaSfALKNZo5b4Z9zJ90HTcXjeP/vRYk7nz7ZHH62FL8ZZ6q8EqKGTGZ9IjsQddErrQLb5r2BdCmjWNGGNMVJVMr89Lpb2Scns55bbysP/9XwKV1DirqXbVaLOu6XV6RnYbybQBx2o9FMGBuG8snt0qa77UOGu/7G896lZGdhtJpb2Sqz64qtljYoLnijHE8MBxDwRar3dx3SfXNzsgD15jJw09UVtY66EfHubTNZ826zzN5fF5yK/090ZEGqeiU3VkWDMCvRvppMamkmpNIy3Wn/6QGptGamwKZoOZBEtCYMHJ3lE9tsPtoNJRRZWjkipHVWD9mCqq7JVUOauotFdS46ohJSaFidkTtYG41c5qXlnwCu+teH+fcriDlbIbjrie7ondKbeVc8dXdzQZsAZncuuX1o9eSf7r/8lfnmRLUeOrKgff2xHdRjC0y1AAHvj+/iZTJoMpWw8e/wAAP2z4QUuRbUtOj9PfA95Ail+sMZZ0azrpcWmkWdNJi00lLc7/f7o1kDoTm4pO1WnfQb1o/PMk7PHdTqqd1WHjZKocVfx34f94d/m7UTdoBN+XBEsCl024DIBn5j1LfmV+g8cEr4HgrEyvLHylwc+NYC9kvDmeSb0n4fa4eeCHBxvtEYs1xnLMgGMAeOSnRxsMvoNlD35WvPD7i+1u3Fww/a6hwD/OFKdNKJAW+ExJs6Zpny9p1jSSYpIw6U3+3g9DZpNrQH2y6hMe/umR/fF0Wp0EFq1Ep+iYmD2RU4afwqTsidoUeRX2Cr5Z/w2frfm8yeXsRfRqXDVs3LuxXn4m+D/8M+Myta5Kf3qEPyc7OSaZlNgUrCYrJr1Ja5mKltvr1lqYbE4bNpeNGpcNe+B/vaqjT2ofbSYM8H8IfbzqEz5c+SElNSWt8vxbiy3w4X7nsXcA/hkybv3yNn6L0EXdkfnwNdq6bdQZyYjLCFQuU0Mql6mkxKaSFvg93hyPqqi1Fc2k5pfF7rLz8aqPmbP0zVadbjn4hWw1WTl1+Cl4fV7u/Hom20q27fO5EiwJTMqeiN1l55YvbtmnBpFgq3awovDan6/v96AiGh6vx58jXbG70f3iTHGkBioDiSGNFsGfBO33BJIsSRj1Rkx6Eya9qd5Chg2xu+x8sfYLXl/8RovGMQXft+CUrg/9+FCjg71rH99/nKqomA1m/sxb3GS6DdS2XIM/UPt+w/dRpXWGpsdU2it56penmzymPah2VmsNXQ0JrtuTaEkkyZJIYkwSSZaksDWmEi1JJMX49wkuUgv4F6bVGwH/KuhfrvuKt5a+1ezvjWDFH/wNDct3LuerdV81eowt5JidZTt5d/l7jewbnmr80aqP2F66vdFzB2eemr9tgZb+3FQ58kry2sVnRXMFF6LdWry10f0sBkvYteG/bpJIiknSPk8SLYnEmeM6TG8FSGDRIma9meFdh3NkvyOZ0vfIsBmdlu1YxqerP+OXzb+021SSg1W1szpiq3Uok96kBRkpsSmkxCSTHJMS6OaOI96cQLw5jjhTPAmBrm+j3ohe1WtfGo3xeD2s3LWKL9d9yQ8bfmi342bsIV8QHq+HO7++86ALKqLh9DjZUbajyZ4knaIj3hyvBRaJlkQSzf7fEwL/x5viiTHGYDHGEBtY4R78M93M2/Ibv+T8sl96LOt+2b+y4L8syN23sTuhFUaAp399mpzCnH06V+g1tm7POv4z/z/7dJ62EqwkRBugWQwWEswJWE1W4kxxxJnjsBpj/f+b4gLbrViNVirsFawrWM+8zfManaUrWqHXwC85vzA355coj6utzDncDh7+8eGojgt9b6scVVEHCL6QFP8X//h3u52JaV94fV6tRTtaOkWHxWgh1hhLrDEWj8/D9pLt+zyxQN3Pgsd+erzpg0LelP/Mf7nJVLZQry56rdFTx5tqpw9u6u8/dFzO/xa9elDPvmRz+Rsnm2rc6GgksGimh094mO4J3Yg3x9MlvkvY4j3BFobP13we1Wwpou043I5GW7AjMelN/sDDFI/F6J8OL8ZgwWywEGOI0Qa65pbksb5gfatUFPY3o86o/f7cb8/zc87cNixN++fxefw50+1wXFRoK+Wu8l28vvj1VjnXxr0b+XT1Z/t8rtAu/od+fPigmOGuMcHKAi3Pbmu2nkm1aTfPzpsV9XGhFcWPVn4UdepJaEDy9rK3o65MBxfWAzpki3Rr8/g8VDmqWm0cQWhD1pLtSxptZAsa0mWI9vuPgfWFGhIadEQzTjTYCwM0ORHI6JAxkz9s/KGRPUV7JYFFM/VP60dWcpZ2e2/lXhbkLuCXnF/4M29xxFkwxMHB4XZos4EcLNbsWcv0QdNZsG0hby97u62LI1rA4/Ows2wn3RO7c9sX/2pRS19wtqTM+Ezu/uaeFk3J+uvmXxnedTifr/k8bFE20fp+2PgDA9L7Nys4ALRB54mWRN4ILIIWjaKqIqocVVhNVt5Z9m7Ux3286mNOG3Eaj//8+EHdIt2WthRtpU9q76h7kd5c+hYXjD2fWfNmRTWj1ebCzfRN68u//3ipyX1/2Pgjxw44htu+/FeT+76xeDZXTrqC/y08uHsrDmZKSmp6+5rEuxFWq5XcbVvIyu5DVVXbrGEwIWsCqqJS5axiV9kuiqqL2qQcQrQGnaKjf3p/NhRsaHfz+YvmS4lJwaQ3tUrXekpsCkadscW5vXpVT9/UvhFX5hatqyWvdUZcBl6ft9kNJ13iu+D0OJs1XsisN9M9sbuMO9yPkixJxBhjog4wTXoTPZN6Rp3y2JzzBwe9R5NOaNAZyE7OlkaIDqxDBhZDh41os8BCCCGEEEKIziaauneHSoWyWq0ArF2zqok9hRBCCCGEEK0lmoyhDtVjAZCZmdmmvRVWq5W1a1ZJr0kHJe9fxyXvXccm71/HJu9fxyXvXcfWnt6/g67HAiA/v+EFXg6kqqqqNn+Dxb6T96/jkveuY5P3r2OT96/jkveuY+so75/a1gUQQgghhBBCdHwSWAghhBBCCCFaTAKLZnI6nTz++BM4ne1zJWXROHn/Oi557zo2ef86Nnn/Oi557zq2jvb+dbjB20IIIYQQQoj2R3oshBBCCCGEEC0mgYUQQgghhBCixSSwEEIIIYQQQrSYBBZCCCGEEEKIFpPAQgghhBBCCNFiElgIIYQQQgghWkwCCyGEEEIIIUSLSWAhhBBCCCGEaDEJLIQQQgghhBAtJoGFEEIIIYQQosUksBBCCCGEEEK0mAQWQgghhBBCiBaTwEIIIYQQQgjRYhJYCNEBnX32WRQVFqDT6Rrc5/nnZ/HVV1+EbSsqLIj48/zzs/Z3kUUH8eijD/P2W2+2aRl69OhBUWEBhx9+eJuWo7M79NBDWLtmFVlZvdq6KC1y+OGHU1RYQI8ePZp13PJlS7j99n/tp1IJcXDSt3UBhBAH1n33P8Bnn30etq26urqNSiPaik6nY9PGv+g/YBAej0fbvmXLVlxOVxuWrHP64/d5XHDhRWzbltvWRdEUFRaxaVMONTU1bV0UIUQHIYGFEJ1MaWkpO3bsaOtiiDY2ccIEEhIS6m3/73//1wal6dx69erFwIED27oY9WzesoVTTzu9rYshhOhAJBVKCNGgSRMnsm3rZjIy0vn3iy+w4a91bM7ZyIcfvF+vIqSqKjfeeANLlyxmx/ZcfvnlZ2ZMnx62z+effcJL/36x3uO89O8X+fyzT7Tbt97yT95+60369u3LRx9+QF7uNh5++CHt/uOPP47vvv2GvNxtbNywnv++8jLdu3cPO+fyZUs44YTjueKKy/lz0QK2521j/h+/cf755zX7dSgqLGD8+HHce8/drFyxjB3bc/n66y8ZN25sxMc855yz+XPRAnbt3M6oUaMAMJvN3H3XTJYvW8LOHXks/nMh119/Hapa+zE8aeJEcnO30qVLF1599b9s3LCebVs38+qr/yUzMzPssaI+37YtxMXF8eyzz7Bp41/8+stc/nH1Vbz77tsAFOTvpqiwgAcffCDiewEwZMhg3n7rTXI2bSB32xY+/+wTJk6cELbP88/P4pFHHmbKlCP5/rtvycvdxorlS7n/vnsxmUxh+15++WV88/VX5GzaQM6mDbz33jv07dOn2e/LgAEDeOP119i4YT07tueycMEfWvpUpFRAgNtv/xfLly3Rbp999ln8Nu9XMjMyeP31V9m2dTNvzpkd9pzGjBnDt998zc4deVx91ZXasRddeAEL5v/Oju25LFo4v961Fc1rctqpp/LrLz8DsGTxnxQVFjBn9hsNPufWvo6uv/46/ly0gB3bc1m7ZhXvvvOW9rddN4UomKLWvXt3Hn30YdatXc22rZv5+usvOeSQ8Y29Vdrf9KSJE/n+u2/ZnreNpUsWc9GFFxATE8PDDz/E+nVr2bZ1Mx9/9GG96yGa5w3Qt08f3n3nLXJzt7J+3Vqef34WVmtsxNfx/vvuZc3qleTlbuObr79q8jkIIZomPRZCiEbFxcXx8Ucf8uZbb/PCi/8mKTGRhx56kDmzX2fipMNwu90APPboI5x44gnMnHk3q9es4Zijj+K11/7HGWecxR/z5zf7cfv168sbr7/Kf//7P+64cyaVlZUAnHXWmTz7zNM88eRT/POWW7BYLNx04w18/903HH7EFIqLi7Vz3HvPPaxavYobbryJ8vIKzjvvXJ595mlyt+U2u0wvvvACX3z5JeeedwFWayw3XH89H3/0IVOPOobNmzdr+1126SUYDEb+ecttFBQUkJeXB8A7b79Fz549mXnX3eTkbGbIkME89NCDZGdnc8MNN2rHW2Njefedt/nv//7Ho48+Tq9ePXn4oQf55OMPOXLKUTidzuadz2plzuw3WLFiBaeedjq2GhulZWUA3HffvYwdNx6Px6u9vvXfh3588/XXfPvtt5x3/gVUVVVz5hmn8/FHH9Z7b4+bMZ3x48by6GOPk5e3nUPGj+exxx6hurqaxx5/ovacffvy7rvvsXLVShLiE3jqqSd45ZX/MPWoY6J+P/r27cv3333D99//wDnnnk91dTXDhw0Ney+i1aVLJnPmzObLL7/ksceeCEv9GT9uLEcecThPPPEUq9esoSzw2l177TX88+abufe++1iwYCGjR4/isUcfweVy8f77H0T9mvz400/cdNM/+e9/X+akk//Gjh07sdlsDZa1Na+ji//vIq64/HJuuulmNm/eTFp6GpMnTaKoqKjR1+uTjz/kk08+5dxzz0en13PXzDt56805jBt/qPb6RDJu3FhmzryTBx96mPz8fC699O889dSTnHvuuaxctZJzzjmXmNgYnnn6KV566UWOOba2YSKa552UlMTnX3zGrp27uOD8CykrL2P6tGk8EtIoEfTGG6/Rt09fbrnlNrbl5nLO2Wfx0YcfMGXKUWzesqXR5y+EaJgEFkKIJn3xxZe8/PIr2u2777mXTz7+kOzsbHJycujVqxcXXXQhl11+BZ9/7m8l3rRpE6NGjeK666/dp8Cid+/eXHbZFXz62WfaNkVRuGvmnbz66ms8/fQz2vYLL7qYxX8u5Oqrr+KBBx7Utvt8Pi699HJ8Ph8Ad945k+OPm8HUqVOaXaZNmzaFnfv/Lv47K1Ys44rLL+OWW2/Ttvfr15/xhxxKVVWVtm3q1CkcfvhhHDllKmvXrgMgJyeH8vJyPvzgfV544cWwCvEHH3zA22+/o+23Z88e5v36C8cdN4PPPvu82efbsmUL94eUHaC4pASAHTt2ho2xqOvWW/7Jlq1buPKqq7Vt9953P127dmXmzDuZPuM4bXtmZiYnnXyKFkxt2rSJiRMnMHXq1LDAIvT1Anh21nM8/9wsrFZr2OvWmFv+6a8MX3HlVdq2jRs3RnVsXUlJSTz/wos8/0L93rQRI0YwbfpxLFu2TNsWExPDP2++mSeffJLXX39De+x+ffty4w3XhwUWTb0mFRUV7N27F4A9e/Y0mqbY2tfRwEEDWbduHd99/z3gT31auHBRk6/Xn4sX8+hjj2u3b7r5ZpYs/pMxY0bz889zGzwuOTmZU087XSv7nXfexdlnnY1er+O2227X9nv6mWf594svEBsbQ3V1TdTP+7xzzyExIYEjj5xKYWEhAGvWrCU7O5szzzxDO//kSZM4+qijOObY6axYsQLwX9MTJkzgqquu5OZ/3tLkayCEiExSoYToZJ54/DF27sgL+5l27LGNHvPrvHlht3NzcwHIzMgA4PDDDsPj8fDdd9+H7bdg4ULGjhmzT+V0uVx8+dVXYdv69OlDZmYm3377Xb195879hcMmTw7b/scff2hBRdD27dvJCJS7OebXCUScTidz585l9OhRYdt/nvtzvcrxpEmT2L59u1YpCpo37zeqq2s47LDwcs+fvyDs9rp169m+fTujA2lVzT3fp59+Ft2TjGDipIl8V+f1Bvjuu+8ZO3YMMTEx2ra8vDytAh2Um5tLRkZ6o4+xc8dOwF/Bj9akSRPrXQct0dBrtH379rCgAvwt77GxMfWuz4WLFtG3b9+wsSv7+ppE0trX0QcffMT48eP57ysvM378uKjLMe/X38JuBwecN/V3VVVVFVZ2t9tNcXERi5csDdtv967dAKSlpQHRP+/RY0azbNkyLagIqvv5dfgRh7Nr1y4tqAhauHAhY/bx80oI4Sc9FkJ0Mk88+RRffPFl2LY9e3Y3ekzd1IhgZV0J5DenpKZgMBjYsnlT2H46nQ6DwYCqqni93gbPryhKvW2FhYVamlVQcrK/4rm3TsUB/C3wycnJ4eeIkNLh8/nq5WVHo6qq/sxZRYVFWMdZw7bt3r2n3n7JSUkUFtYvi9frpaKinJQ65Y7Ual9UVIzVat2n8+1u4v1tjP+xIr3e/pSzpKQkLXUomtfbYrFw3bXXMG36NHr26IHJZGp02uQGy5WcHJb2Fq1I1xrA7t2RX6Pde+q/n6kpqQD88Xt4BTv4PJOSEikvLwda9xps7eto2bJlTD7scC679BLeenMOu3fvYdas58J6CSMpLKp/PQBNPqeKioqotmufL4H3KtrnnRCfEPGzoe7nV2pKCl26dGHnjvCAT6/XU1BQ0OhzEEI0TgILITqZvXv3NjsPvW6rf11lpaXU1NQ0mCMfDCp8vsgVu4TE+rMTRVJS7E/fSUlJJicn/L7UlBTKykqbVe7mSEqu35qempZKWVl5k8dGCnrAXxFLSEjQxjzUPlYybN0a/lipKVr+enPP1xIlDTxWakoqXq+X8pDHiub1fvk/LzFu3Dgef/xxVq9ZS0VFBaNHj+LFF55vVrnKyspJTklp8H6fzxfxWkuMMBNWc5UGrrO/nXJaxDEFO3fuCitHa2nt6whgx44d3H3PvTz40MNccMH5PPfcsyiKwiefftpgOVrxKUUl2uddWVlJclL9/RITEsNul5aVkZuby7nnXVBvX7dbploWoiUkFUoI0WLzFywkJiaG+Ph4Nm/eXO8nqLy8nB49wxepiomJiTpdavOWLWzblstxM2aEbTcYDEydOqVe6kdrqptmZTKZmDplCkuWLGngiFpz584lOzuLwYMHh22fMuVIYmJiWLBgYfhj1UlpGTp0CD179mRJIGWkueeLJLhWhcVsbnS/n+fOZcaM6fW2z5gxndWrV1PVzDVQpk6dwosvvsjrb8xm2bJl5OTkaC3ozfHn4j+ZPm1ag/dXlFfQo85MYQCTJ09q9mPVtXTpMux2O927d4t4vdftaWuK0+UfkG82Wxrdr7Wvo7AyOJ28+uprzJv3GxMmHNqs8u9v0T7vFStXMnrM6HrTKNd9PgsWLKBbt27U1NTUe+9yc8N7MYQQzSM9FkJ0YGPGjMbjCU8xysnJaTDlYH/Jycnhrbfe5rVX/8vDjzzKqlWr0et1ZGVlYTAYtAX55s6dy1NPPcm11/yD73/4kaSkRG644fqoB+wC3H33Pbz++qsUl5Tw3XffEx8fx0033YjZbOall/7T7LI//PBDnHP2WfTu06/R1uVBgwZy/3338v4HH2A0GLn11n8Sa7XyShTrPixYsJCvvvqaN954jbtm3s2WLVsYOmwoDz30IB999DF//fVX2P7nnnMOxUXFLFy0iO7du/HIww+xdu06fvjxx306XyQbNm4A4Pobrue9d9/Dh4+tW7fV2++RRx5jwfzfeenfL/Lyy6/gdLk484zTOfHEEzjn3OZP3bt58xZmHDeD+fMXYLPbmTDhUM4795xmn+epp57mu2+/4YUXnuO/r/wPh9PJgAH92Z63nRUrV/Lz3LlceeUVPHD/fbz9zrtYzGYuvfQSLBZLi3sRKioqePqZZ3n8sUdJTk5m0aI/8Xq99OjRnS6ZXZjzZvNWLt+yZSsul4urrrqC52Y9j6rTsWnTpnr7tfZ1dOmll+B0OFm7bh0V5eWMGDGCSZMmcvsdd+77i7MfRPu83377Ha6+6krenPMGjz72OBUVFUydOpUjjzwy7Hxz5/7CggULef+9d3ns8cfZsGEjFouZfn37UVZexty5v7TBsxTi4CCBhRAd2Ddff1Vv27nnnq9VHA6kG2+6mauvupLrrr2GrKwsvF4vmzZtCptpZ86bb9Gte3cuu+xSbrvtVvLy8vj3S/9hwfwFHH30UVE9zrfffccll17GjTdczy3/vBm73c5vv//OccefQP4+5EcPGTyIn+fObbKy+eijjzNo8CA++OB9rLFWVq5cwSl/O5Xt27dH9ThXXnU1/7rtVh5//FHS0tLYtWs3s9+YzdPPPFtv32uuvZZrr7mGe+65C6/Xy9y5v3DnzLvCZm9qzvkiWbduPQ8+9DAXXXgBV115BS/952Ueeujhevvt2bOH4084ibtm3sFnn32CqqqsXrOGM886m3nzfotw5qZfhyeeeIwvv/yciopKfvjhB04/4yzWrlnVrPOsXbuOE088mX/dfhuffPIRRqOR3Nw8brr5ZgB++eVX7px5F5decgl///vF7NmTz5w33+THn37i7rtmNrvcdT399DPs2bOHSy/5O/feczc6nY5t27bx+huzm32ukpISbrr5n9x4w/WcNu9UvvjiS666+h8R923N66iwsJAbb7iBvn37oCgKeXl5PPbYE7z33vvNfg77WzTPu6ioiJNOPoUHHriPd995h5qaGn786UfOOvtsFv9ZO9uVz+fj/Asu5KabbuTuu++ie7duOF0u1qxZw+OPPRHh0YUQ0VJSUtMPcLakEEK0D6qqsnVLDldeebU25WYkRYUFXH/DjdrUnfvLpIkT+fzzTxk7brykZIh9JteREKKtyBgLIUSnNXzYMMrKyqLq4WloNqH94UA+ljh4yXUkhDjQJBVKCNFprVy1ipGjZN56IYQQojVIj4UQQgghhBCixZo9xuLEE0/gqiuvZPCQwdRU1/DRRx9x3/0P4PF4SExM5MknH2fqlCnYbDbeeGM2Tzz5lHZsU/cLIYQQQgghOqZmpULFxcVx0YUX8sSTT7JgwUKysrKY/cZrFJeUMGvWczz7zNN4vB7GjB1PYmICr7/2GkVFRdosGU3dL4QQQgghhOiYWjwr1HXXXcvEiRO45prrWLd2NSNGjiY/Px+AGdOnM3PmHUyafDipqamN3i+EEEIIIYTouFo8eDslOZmCgr0MHTqEgoICLWgAWLZ8Gf369cNqtTZ5f6QFsoxGI0ajsd62kpKSlhZbCCGEEEII0YpaNHg7LS2NM888k9mz55CclExJSWnY/SUlpaiqSlpaapP3R3LD9deRu21L2M+mjX9htVpbUmwhhBBCCCFEK9vnwCI2NoY358zmPy+/zPLlyyOuWhucQ9vt9jR5fyTPznqOrOw+2s/QYSP2tbhCCCGEEEKI/WifUqHMZjNzZs9m6bJlzJr1HABFxcUkJyeF7ZeSnAxAYWFhk/dH4nQ6cTqd+1JEIYQQQgghxAHU7B4Ls9nMm3Nmk/P/7N11fBtH2sDx34otyxzHDsfBhrlpkyZN0pSZuXc9eMvMbZLClelKd71yypCU0zaltGlDbYMNs8N2zCjWvn/IWkkxSSYZnu8n/kRa7a5G1kqeZ+aZmW1bmTFjprZ9zZo1pKenk5mRoW0bPWY0u3fvxuFw1Pu4EEIIIYQQou2KKrAIBBWbt2zhzjvvDnustLSUjz/5hIcefpCUlBR69erFHbffzltvvxPR40IIIYQQQoi2K6rpZs8771z++58Xanxs1OixFBYW8OQTT3D88cfh8Xj46KM5zLr3Pnw+H+Afl1HX4/Wx2Wxk79xO76y+Nc4iJYQQQgghhIiNRq9j0ZIksBBCCCGEEKJ1atR0s0IIIYQQQggBElgIIYQQQgghmoAEFkIIIYQQQohGk8BCCCGEEEII0WgSWAghhBBCCCEaTQILIYQQQgghRKNJYCGEEEIIIYRoNAkshBBCCCGEEI0mgYUQQgghhBCi0SSwEEIIIYQQQjSaBBZCCCGEEEKIRpPAQgghhBBCCNFoElgIIYQQQgghGk0CCyGEEEIIIUSjSWAhhBBCCCGEaDQJLIQQQgghhBCNJoGFEEIIIYQQotEksBBCCCGEEEI0mgQWQgghhBBCiEaTwEIIIYQQQgjRaBJYCCGEEEIIIRpNAgshhBBCCCFEo0lgIYQQQgghhGg0CSyEEEIIIYQQjSaBhRBCCCGEEKLRJLAQQgghhBBCNJoEFkIIIYQQQohGk8BCCCGEEEII0WgSWAghhBBCCCEaTQILIYQQQgghRKNJYCGEEEIIIYRoNAkshBBCCCGEEI0mgYUQQgghhBCi0SSwEEIIIYQQQjSaBBZCCCGEEEKIRpPAQgghhBBCCNFoElgIIYQQQgghGk0CCyGEEEIIIUSjSWAhhBBCCCGEaDRDrAsghBBCCCHA5IvDrFpjXYxWoVJXildxx7oYIkoSWAghhBBCxFi6pyfnFt+DHmOsi9IqVCjFvJV6Jx7FFeuiiChIYCGEEEIIEWOdPD3RY8SHDy8du6XeiJl4NZl4XzIl+oOxLo6IggQWQgghhBAxpqAAkG1aw1eJz8e4NLH1j4LniFNtKKoMBW5ron7HbDYbb7zxGitX/BG23WQy8dSTT7B50wa2bN7IY489gsFgiPhxIYQQQoiOSqmqkqmoMS5Ja+D/HSgyx1CbE9U7NnDgQL779hs8bk+1x2bOuIcBA/pz9JRpTJp8NP369uPuu+6M+HEhhBBCiI5KUf09Fiq+GJck9gK/g0Avjmg7ogosjjpqIvff/y9mz34zbLuiKFxyycU88K8HycnJITf3ILPuvZfLL/8rOp2u3seFEEIIIToy6bEI8in+34FOeizanKhykV577XUAJk6YELa9T1YWVquV1avXaNvWr9+AwWBg4MCBuJzOOh/fuHFjjc9nMpkwmUzafZvNFk1xhRBCCCHahEDrvPRYANrvQHos2pomCQVTUlOpqKjA7Q6fxaC4uJj09PR6H6/NjTdcT/bO7drPurVrat1XCCGEEKKt0gILRXosVG2MhQQWbU2TBBaqWvOHQFEUvB5PvY/X5plnn6N3Vl/tZ+iwEU1RXCGEEEKIViWYCiU9Fr6q34FOZoVqc5pkWqaCgnzi4+MxGo1ar4SiKCQlJXEwLw+321Xn47VxuVy4XLIwihBCCCHat+DgbemxQPsdSI9FW9MkgUV29i6KiooYMWIEy5cvB2Do0CEA7N69G6fTWefjQgghREehUw2MsE8n3pcU66K0CvmGvWyyLI51MWIuOMZCAgtJhWq7mmwhiTfemM29s2bwz/+7Ep/Py3333sucOXNxOp0RPS6EEEJ0BL1cQzmq8rxYF6NV2WfcRJm+INbFiClJhQpSlapUKJkVqs1pssDiyaeeJjEpiYU/L8BkMvH1198wc9asiB8XQgghOgKzagWgRJfHNvMf9ezdvg23H4MRMybVEuuixJxMNxukSipUm9WgwGLxkiWMHjMubJvX6+Wee2Zwzz0zajymvseFEEKIjiBQgSzS72dJ/NwYlya2DnNMwKiaZYVlQmeFkh4LGbzddsk7JoQQQrSgQAXSJxVIrRItgQUoqvRYBAXGWMh10dbIOyaEEEK0IEl5CQq0TAdmROrIZIG8IFUWyGuzJLAQQgghWlBwWlGpQKrSMq2RgDPIV7VIoAzebnvkHRNCCCFakE4qkJpAcCUVSOmxCBdIkZMei7ZGPslCCCFEC5JpRYNURXosAoKDtyXg1IJuSZFrc+STLIQQQrSgQCVaBm8HgytFZv+RgDOET3qy2ix5x4QQQogWFJz9RyqQUoEMCo69kR4LZOXtNqvJFsgTQggRzuZN5eySO4n3Jce6KK1CoX4/c5IfxKt4Yl2UmNJJy7RGZv8JksHbQTKov+2SwEIIIZpJF09fEn2dYl2MViPd25MUb1fyDbtjXZSYkpSXIBm8HSSDt4N8igzebqsksBBCiGaiqHoA9hk2823CSzEuTWydVzITmy9FVtJFFsgLJQvkBUmPRajA70Cui7ZGAgshhGgmgVZYj+KiQl8c28LEmBd/+pNUIGWF5VBayovM/hMyK5QEnFpPllwXbY58wwshRDPRZv/BG+OSxJ6kvARJKlSQDN4OkoAzSMZYtF3yjgkhRDPR4U+FkpQX8Cn+4EoqCqBDZv8J0KabletCxliEkEH9bZd8koUQopnoZFpRTTC1QR/jksSe9FgEyRiLILkuggKNMdKT1fbIOyaEEM1EUqGCfNIyrZEF8oJkjEWQIj1ZIWQdi7ZKvuGFEKKZ6KQCqZEWyCBZIC9IAs4grcdCkcAiGHDKddHWyDsmhBDNRCqQQVouvVQUJJc+hIyxCJLrIigYcEqPRVsj080K0RRUyHKNlBWWqxTrc9lr2hjrYsScNnhbKgpaOljgd9KRBVfelpbpwO9AerKC6WByXYCkQrVdElgI0QS6ePpzStn1sS5Gq/Jmyu2U6vNjXYyYksGYQTLdbFAw5UWuCxm8HSQL5AXJdLNtlwQWQjSBeF8SAHaljH3GzTEuTWz1cg3DiJk4X2KHDyyCYyxk8LZPKpCaQDqY9GSFpshJy7SkQgUFvy/kumhrJLAQogkEptDMN+zhm8T/xrg0sXVJ4cOk+DLRS8oLStV1IRUFUAOpUDLGQnqyQsjg7SAZvB1KBm+3VfKOCdEEgrn00jIdaJ2X9QpCeiykAhmS2iDXhU5apjUyeDtIeiyCVBm83WbJJ1mIJhAILLyKJ8YliT0ZpBsUbIGUgDN4XcifHcmlD1K1aYilAhmcRU6uC5+MsWiz5B0TogkEWuelxyKkx0IyLbW0H+mxCMmZltQGWSAvhKxXEKSTFLkQ0pPVVsk7JkQTCFSiJbAIaZmWVCjJpQ8hs0IFBacVletCxliEkulmAwLjTCQVqu2RT7IQTUAf6LGQlBdJhQoh61gEBa4LGWMhqVChZB2LIBljESQL5LVd8kkWognI4O0gGbwdJNPNBvkU6bEIkJSXIBm8HSSzQoWSFLm2St4xIZqAFlhIBVJ6LEIEB2NKBTK4XoH82ZEF8oJUWa9AIylyQdJj0XbJ6MooGX0WTiy7mgRfaqyL0ioU63P5JuFFfB18NiQZvB0UmBlL1rGQ6WZD+WSMhUYWyAuSgDNIkTEWmuD01BJYtDUSWESpm3sgvdxDY12MViPV25XOnl7kGLfHuigxpU03K4GFDN4OERhPIC3ToYO35bqQVKggGbwdJGNvQsl0s22VBBZRMmACIE+/i19s78e4NLE1vezvJPnSMaimWBcl5iQVKkhSoYJkutmgwGdDWqZlkG4omS0sSK6LIJ+kyLVZElhEyaAaAajUlbLfuCXGpYkth67CH1hgjHVRYk5SoYJk8HZQsAVSrgupQAYF17GQlmkZYxGkk8HbIWTwdlsl71iU9FWVaK/ijnFJYs+L/3egVyWwkFmhgqTHIkimmw3ySSqUJliJlutCFsgLJSlyATJbWNsl71iUApVoDxJYBIIrvSodX7KORVBw5W2pQGqpDTLGAjWQCiUt0zJ4O4RUIINkVqggnwzebrPkkxwlQ1UlWnosgsGVXlKhQlqmO/bsWBA6eFsCTkmRC9IG6UqKnAzSDSEVyCCdXBchJOBsq+Qdi1KgEu2RwEILrgySCiWDt0MEZsaS6WZDK5DSAiljLIJkVqgg6bEIJdPNBgTGmUjA2fbIJzlKgVQor7RMa8GV9FgEW+elZVoGb4cKrrwtFUiZVjRIFsgLUmVFdo3MChUkC+S1XfJJjlKgdV5SoYKDt6XHQtaxCBUIrqQCKalQoSTgDJIxFkGyQF6QzAoVSgb1t1XyjkVJmxVKBm+HDN6WwEIng7c1MitUkOTSB0nKS5CkQgVJT1YIVVKhAmTl7bZLPslR0maFkh4LLR1ML8uhyHSzIQLBlV5apoOpUHJdhEw3K392kJQXjYy9CZKAM0gCzrZL3rEoGZBZoQI80mOhkcHbQYGZsaTHApSq34Hk0ksufSiZ/ScomPYjLdMyeDuU9Fi0VfINHyVZxyJImxVKBm8H17GQlmlZxyKEriq1QXLpQ6eblT87Mng7SOuxkOtCBm+H8MmK7G2WfJKjFBy8LbNCeWTlbY2kQgXJOhZBWo+FXBfa70ACzuBCaBJwytibUDoJODWyInvb1eLvmMlk4qknn2Dzpg1s2byRxx57BIOh7VRAZB2LIFnHIkgGbwd5pQKpkelmg2SMRZAM6g+SaUVDyXURJAFnW9Xi79jMGfcwYEB/jp4yjUmTj6Zf337cfdedLV2MBguuYyGBhVfWsdBIj0WQTCsaFGhtk9SGYCustEDKIN1QgTEWEnAGe7LkupCAsy1r0U+yoihccsnFPPCvB8nJySE39yCz7r2Xyy//Kzpd2/hS0aablR6LkFSottPj1Fy0dSwkRU6mmw0RDDiloiDXRZAiPVkaWcciSAb1BwWnm5Xroq1p0Rphn6wsrFYrq1ev0batX78Bg8HAwIED2bhxY9j+JpMJk8mk3bfZbC1W1toYqirR0mMRDK4yPFmcVnJTjEsTWwneNEB6LCDYY9HZ07vDXxfxviRAWiAh+DuQ6wLifP6/ZXJdBIPuTE/fDn9dmNQ4QAILAKp6srq4+3X46wJgp2k1a+N+inUxItKigUVKaioVFRW43eGV8uLiYtLT06sFFjfecD23335bSxaxXrKORVCZrhAAi2qjl3tYjEvTOlToimNdhJgr1xUBECfXBeCvPFboSmJdjJgrr/psxKkJcl3gr1DbdaWxLkbMVch1EcaLB7uuPNbFiLnAdWFVE+W6AIr1ubEuQsSUtE6dWyw0HjNmDHM++oA+ffuHbV+3dg1XXHEVi5csCdteU4/FurVr6J3Vl/Ly2Hzwspwjsag2dprW4NCVxaQMrYYK3d2DsPlSYl2SVqFYn0uOcXusixF7KvRwDybelxzrkrQKRfocco07Yl2M2FOhh3uI1ovT0RXpD5Br3BnrYsSeqtDTPRirXBcAFOr3c9CYHetixJ6q0NM9BKsvMdYlaRXa0t+RFu2xKCjIJz4+HqPRqPVaKIpCUlISB/Pyqu3vcrlwuVwtWcR67TSvjnURWg8F9po21r+f6FgU2GPaEOtSiNZGgT2m9bEuhWhtFJXdcl2IQykqu03rYl0K0QAtOiomO3sXRUVFjBgxQts2dOgQAHbv3t2SRRFCCCGEEEI0oRYfbv/GG7O5d9YMMjMz6dw5nfvuvZc5c+bidDpbuihCCCGEEEKIJtLi84Q++dTTJCYlsfDnBZhMJr7++htmzprV0sUQQgghhBBCNKEWHbzdWDabjeyd22M6eFsIIYQQQghRnaw8IoQQQgghhGg0CSyEEEIIIYQQjSaBhRBCCCGEEKLRJLAQQgghhBBCNJoEFkIIIYQQQohGk8BCCCGEEEII0WgSWAghhBBCCCEaTQILIYQQQgghRKNJYCGEEEIIIYRoNAkshBBCCCGEEI0mgYUQQgghhBCi0SSwEEIIIYQQQjSaBBZCCCGEEEKIRpPAQgghhBBCCNFoElgIIYQQQgghGk0CCyGEEEIIIUSjSWAhhBBCCCGEaDRDrAsghGg5OkVHSlwKafFppFpTSYtPIy0+lURLEomWRJIsiSSYE9HrdDyz8Fk25m6MdZFFDTISMjim/zQGZQ7mneXvsPng5iY9v9lgZmLWBI7uezROj5NHfngUFbVJn0M0TM+Unpw/6jwW7VjM0uylDTrHxKyJTB8wndm/z2ZX0a6ojzfoDJw1/Eyy0vrwzMJncHqcUZ8jKS6JS8ZcQrmzjDf/eCvq4wWM7DaSqf2m8Prvb1BiL4nomMl9JzMoYxCvLn0Vr+qN6JjTh52OxWDhw1UfRrS/UW/kojEXsbd4Lz9u+TGiYxItiVwy5mKWZC9l9b7VER0jWicJLIRoR5Likuia2JWuiV3oklT1f2IXMhIySItPI8Wagk6JrKPy1CGnSGDRiqRaUzlx0AlMHzCdYV2Hadt9Pi/3zr+v0efXK3rG9RzHiYNOYEr/KcSb4rXHPl37mVwLMWYxWPjnkf/gL4f/BYChXYZFHVhkpWZxy9SbOaL3EQAUO4p5duGzUZ1jYtZEbp5yE71SewGwaMciFu9cHPHxep2e80eexz+P/CcJlgQAPlz1EQ6PI6pydHTnjTyX24+5HYC9JfuYs3pOnfsrKFw3+VouG3cZAMv3LGfFnhV1HmM2mLn/hPuYPnA6AD9s+YGCioI6j0m1pvK/816kT1ofyhxlEQUWWalZzLn8IwDG9BzL39//e73HiNZLAgsh2qAuiV3ok5ZFVlofslJ70zstiz6pWdof6rr4VB9FlUUUVBRQUFlAUWURxfZiShyllDpKGdltBMcfdjxxRmsLvBJRF52iY3yv8Zwx7HSO7ns0Br3/K9un+sgrzyMjIQOb2dao5+iS2IWzhp/FaUNPJS0+Tdu+r2QfSZYkbGYbVlPDrwWdouPI3kdy9oizsJltfL72C77d9C0en6dR5e5IJvedzG3TbqVLYhdtW6eQ96o+Jr2Jy8dfzl8P/wtGvVHbHho81ictPo3bpt6qVTIDbObIzzEoYxAzjpvBwM4DwrbHm+IlsIiQTtFx49E3cNGYi7Rtiea6v/fNBjMPnHg/xww4RtuWZEms85iUuBSePuOpsEaMRHNinYFFr9RePHfWs3RL6gZAgiUBBaXO3s4x3Ufz5OlPavf7pvWps1yi9ZPAQohWrrOtM4MyBzEkYzCDMgcxKGMQyXHJte6fV57H/tIDHCjZX/X/AXLKcvyBREUBxfbiervA/YGFpYlfiYiUxWDhjGFncOGYC7Q/0gBr96/l643fsGDrAsb2GMtDJz+IxRjXoOcY22MsF425kKP6HKX1YhVVFvH95u+Zv+lb/tz/J29e/CZDMgcT14DniDfFc9bwMzl7xDl0Tw6+htHdR3P1UVfx/soP+GLdF5Q6ShtU/o4gyZLEXdPv1Crz+0v28/m6L7hq4pUoKBGdY2iXodx3wr30Tu0NwC/bf2VfyT4uHH1BxO/rKUNO4ZYpN5NgScDj8/DeivcZlHEY43qOi6gBwqQ3cdVRV3HR6AvR6/QU24t5/tcXuHnKTcSb4okzxUFlREXp0MwGM/868QGmDZgWtr2u74CkuCSePv0pRnQbgdvr1gLLut77Hsk9eP7s5+ie3J0SewlJcUn1HjOy20ieOv1JkuKSyC/Pp5OtU1XZLNjd9hqPOf6w47nvhHsx6o24PC5MBhPlropan0O0DRJYCMwGMxajBavRislgwqQ3YdIbMer9t416o3+bIbDN/79Rb6TMWcbCbQspthfH+mW0G+m2dMb2GMvYHmMY02NsWKUswOVxsatoFzsLs8ku2MmOgp3sLNzJnqI9uLyuRj1/4I9AQyqTonESLYlcMPoCzht5rhY8ljpK+XrD13y29nO25W/T9nVo71N0AeBRfY7ib+MvZ3jX4dq233b9xpzVc/l1x694fcGg09GAayHJksT5o8/nglHnk1jVKlpiL+HL9fMothdzwajzyUjI4Majb+CqiVeyYOtPfLb2M1buWSnjOEKM73U49x5/L50TOuPxenh7+Tu8tuw1Oid05qqJV9b7nugUHX89/C/834T/w6AzkF9RwBMLnuDHLT9y5rAzgfqvHZvZxt3H3s1xA48FYEPOBh76/iE2H9zCQyc/WHWOusvRO7U3D538kNZLMX/jfJ766WmK7EVcNeFKf2Ah3zX1shgs/PvMpxnXcxwuj4v7v72fvml9+dsRf6v1fUy1pvLiuS/St1MfSh2l3Pb5bZw/+gKm9Z9aazDSN60vL573X1Ktqewt3scNn97Ak6c9QVZaVq3Pc0SvI3jqjCcxG8ys3b+Wmz+7he+v/g7wXx81BRZnDz+Lu469C4Aft/zI67+9zruXvkucQRq02joJLNq4OGMcqdZUkixJJFgSSLQkkmhOIMGS6L9tSSDRnIjVZCXOGBf2YzFaiDPGodfpG1WGu6bfyW/ZvzF/07cs3LaQSrc0PUVDp+gYkjmEyX0nM7nvZPp2Cu8K9vg87MjfwYbcDWzI2cD6nA1sz9/ebKkkgT8CDW0JF9EzG8xcOPpC/jLuMi2dbU/RHt5Z/g7zNnxV4+BYu9ufOhJppWxcz3FcP/k6BmUMAsDhdvDFui/4cNVHtQ7grXRVVj1H/X/s44xxXDruUi4ec5GWYrOzYCfvLH+H+Zu+1V7Duyve5cRBJ3DBqAsY0HkAJw46gRMHncDe4r18t/l7ftzyY5MPRm9LdIqOKydcwd+O+BsA2YXZzPhqJpsObgJCAn9T7e97mjWNh05+kLE9xwLw7aZvefSHxyhzloWfo47ehiGZQ3j01EfoktgFj9fD/5a8xNt/vK31dtojCGxPG3oqt0+7HYvRQlFlEQ98+y9+3fGr9rg0YkQmzhjHM2f+mzE9xlDhquCmT29m5d6V/PXwv2qPHyrNmsaL5/2XPml9OFh2kGvmXsvOwp2cPuz0Wo/p26kv/zv3RVKsKWw+uJnrPr6ewsrCOv8mHNn7SJ48/QnMBjO/bP+Vu+bdhdPjxO62a3WNQ5078lzuqBof8v7KD3j6p6fpnNC51nKJtkUCi1ZKp+hIt6X7B+ImBQffplnT6GTrRJo1jbT4tEblPh/K4Xbg9Dhxe924vC7cXnfYbZfXhcvrxh343+Oid1oWQzIHM7HPRCb2mYjT42T57uX8umMRi3YsIqcsp8nK196M6DqckwafxJR+U8Jy270+L5sObmbFnuUs372C1ftWt2iw1tCW8HhTPMcOPJZjBx5LSlwyy/esYPHOxazau6rRvSjtlYLCqUNP4aqJV5FuSwdgy8EtvLbsNX7a9jM+1VfrsZFWynql9uKGyTcwue8kACpcFXy85mPeXf4eBZV1D8S0ewLBS+3fMzpFxylDTg57DZsPbub1Za+zYOtP1Xoh3F43X6z7ki/WfcmgjEGcMex0jj/seLond+dv4y/nb+MvZ2/xPn7a9hNLdi5hzb41Heb6STAn8OBJ/2Jin4kAzFk9t9qsS4H33aAzYNQbcXvdYecYlDGIJ05/gsyEDCpdlTz24+N8teGrsH3snro/4ycPPpl7jr0bk8HEnqI9zPh6ButzNoSfoyqwramyqdfpuWXKzZw36jwAlmUv497591XLz48kOOnoLAYLz571DKO7j6bcWc51H1/P2gNrgdq/A9Ksabx0/v/ondqbnLJcrvzoSvYW7wVqbyzo16kf/zvvRZLjktmYu5Fr5l6rpSnW9jwTek/gydOfwGQw8fO2n7nzy7u0Bq9KV6XWgBkqdND528vf0SYPCDyHyWBCr+gjnrFKtD4SWMRYmjWNrLQs+qRl0SetDz1SetA1sSuZiZlhg+zqUumqpLRq4G2Zsyzk/zLKHKWUOsuocJZjdzuodFficNu123a3HbvLjsPjqLMSU5deKb04/rDjOGHQCfRM6akFGXAHOwp2sHLPSlbuXcmKvSvrnVGiveuS2IVTh57KSYNOpHtyd217maOMxTsX88v2X1iSvZRyZ3nMyhhNS7hO0TG2x1hOHXoqU/tNCfsjMqDzAC4acyF2t53lu5ezfI8/SNp8cLMM3MU/E8rdx97FqO6jAP9g6f8tfon5G+dHlBJUX8+S2WDm/478JxePvRiDzoDH62Humrm8suzViKemrC8VakD6AGYcdw+DMwcDsLd4L8//8jw/bl0Q0fk35m5kY+5G/v3zM0zuO4lp/adxVJ+j6J7cjUvHXsKlYy/B4Xawcu8qftv1Gyv3rmRL3pawdK32omdKT54589/0TOmJw+3gX989yLebvq22X2haSZwxLiywOP6w45h53EwsRgs7C3Zyy+e3srtod7Vz1Pa+6hQdN0y+novHXgzAT1t/4r7591NRQ957bZXNJEsSj576CON6jgPgxUUv8vpvb9R4TQcCV+kdrZlep+exUx/VgoprP76OdQfWaY87avgOiDfF89zZz/mDitIcrvjoSvaV7NMeDzYWBI/pktiFF85+nuS4ZNbnbODauddqvVtQ83s9rMswHj/tMUwGEwu2/sTd8+4O+16v6e/I8YcdrwUVb/7+Js//+kK15/C/HkuN15xoGySwaEHdk7szJHMIQzKHcFjGQPqk9alzEK7H6yGnLId9JfvJKT1AfkW+NgA3v7KA/PL8sG7KWNlVtIuXl77Cy0tfoU9aH47qM5Gj+hzFiK4j6JPWhz5pfThn5Dn+fQt3sSF3I5tyN7IxdxObD27uEF8gY3uM5YLR5zO572RtoGyFq4IFW35i/qZvWLFnZaupbEfSEm41Wjlt6GlcMPqCsDEgOwp28NWGr9lXvI8jeo9nQu8JdE7ozKS+k5hU1WLucDtYd2Adfx5Yy+aDm9lycAt7i/d2mPx6o97IP474O5eNuwyj3kilq5KXl77Ch6s+rNb6XJfA+2St4X0a03009xx3Dz1TegLwy/ZfeHbhc1GvWVBbi7LZYOYfR/yDS8ddgkFnoMxRxqvLXuWj1XOieg0BDo+D7zZ/z3ebv8disDAh60gm953M+F7jSbelMyHrSCZkHenf1+1gY+5G1h5Yx9r9a9l0cBM5pTlt+voZnDGYZ896hhRrCvtL9nPr57exJW9Ljft6fV5toGucMU5rVb5k7CXcePQNAPy6/VdmfD2z1u/Wmip9Rr2Rh056UBsY/PLSV3hlySu1/l5r6tnMSMjghbOfJystiwpXBbO+nsXC7b/U+rq1cxgksKjJPcfezcQ+E3G4HVz38fVhQQVU/3wadAYeP+1xBnYeQEFFQbWgIvSYQDCSZEni+bOfo5OtE1vztlYLKmp6nl4pvfj3mU9jMVpYtGMRd827q1qwf2jwOq7nOO474V7An/4UGlSAvyfT4/Ng0BmIM8Z1iHpBeyWBRTPRK3oGZQ5iXI+xjO4xmsEZg7WZFUL5VB97i/eys2An2wt2sLtoN/uK97G/dD955XkN7kWIlR0FO9hRsIO3/nibREsio7qPYkz30YzuPpoBnQfQK7UXvVJ7ceKgEwD/699TtIftBTvILsxmV2E2Owuy2VW0q81/sSgoHDPgGP5+xN/on95f274sexlfrp/Hwm0LW+UUi8E/PNXTE9KsaVwy7hLOHHaGNs1pqaOU+Zu+Zd66eWzIDaZL/LDlB8DfxX5k7yMY2W0kI7qNIDkumbE9x2r53+APsrbmbWVr3jZ2Fe5id9FudhXtIqc0p111ifsHsj7IwM4DAVi4bSGPL3iC3LLcqM/l0FJRgu+TQWfgmknXcOnYSwDILcvlsR8f55c6Knd1qakC2jetLw+f8hB9O/UF4PvN3/PkgqfqTauKlMPjYMHWn1iw9ScA+qT14Yhe4zm81+EM6zKMpLgkRnUfpfX0gP/62Z6/ne35O/z/F2xnb/FecstyW/136BG9juDx0x7DarKyPmcDN35yI0X2ojqPsbvtmAwm7b2/5qhruHz8XwF4Z/m7PPfLcxGl0QUql1ajlSdOf4LxvQ7H5XEx65t7tc9v7ecIvzZ6pfTiP+e8QGZiJjlludzw8Q1sL9he7+sIPYcIunLClZw29DS8Pi93zbtbS38KFXgPrEYrCgqzjp/F+F6HU+mq5IZPbqwWVECwwm81xmE2mHn6zKe13o3rP7mhWlAR+jxxJitp8Wk8d/az/t6NA+u588vqQYX/mODz9E/vzxOnPY5Rb+S7zd/z9E9P1/iaHW6HNr1137i+9O/Un30l+9hbvLfez4RoPSSwaEIZCRlM6Xc043sdwejuo6rNL+/0ONl8cDPrczawMWcDW/O3sbtod4NWLW0LSh2lLNy2kIXbFgL+/OHhXYdxWOfDOCzjMAZlDCIzMVMLNg6VX1FATukBDpQe4EBpTtXtHHLLcimoLKC4sv5pU2NBQWH6wOn844h/aAOxK12VzFs/jw9Xf8SuwuhXum1JNf2xT4pL4rKxl3L+qPO1ykx2YTbvrXiPrzZ8Xec1vC1/G9vyt/H28ndQUOiV2otR3UYxKHMQA9MH0LdTX+JN8YzsNpKR3UaGHev2utlbvJf9pQfILcsltzSHnLJc/+2yXA6WH2wzn58zh53JLVNv1gayPvz9I/y07acGny/wPukUHWaDmXRbOg+f/JCWlvTJmk949pfnGhWgH1oBPXv4Wdw05SYsRgv5FQU88v3DdbZIN4VAY8V7K99HQaFnSk+GdhnKsC5DGdZ1GH3S+hBvimd41+FhM12Bv9d3f+l+9pXs0xpsDpblkVeRR355PvkV+TFtwJiYNZEnT38Co97Isuxl3P7FHRGNp7J7HCSRRLwxnjuPuUPrEX7+l+cjWsU6NM/eZrbxwtnPM7TLUCpcFdz6+W38sfuP+s/hDpzDSv/0/vz3nP+QYk0huzCba+ZeG1GwXOmSMRY1Of6w4/jHkf5F4h754dGwAe+hQj+ffxt/OScNPhGP18PtX9yhDfavfkwwIJxx3AxGdB1OqaOU6z+5gbzyvBqPCQQjieYEnjztCboldWN30W5u+PTGWhvHAs/TJbErt027DZvZxoo9K7jvm/tq7QWzu+3YzDaGZA7hrul3ho0hLXeWa0HGvpJ9/s9x+UEOludxsPwgBRUFrabXv6OTwKKReqf25pgBxzCl39HabCsBpY5Slu9ZwfLdf/Dn/rVsy9/WoS/8MmcZi3cuYfHOJdq2lLgUBnQeQO/U3vRO7e1f7C21N51snegUn0an+DSGdhla4/l8qo8SewmFlYUUVBRSWFlAYWWhf2yJs4xyZxllznLKqu77t5U3a0VieNfh3DL1FoZUVe5KHaW8t+J9Plj1QUzHTUQj0BJuNpi12YouH/9XbaaftfvX8uqy11iyc0nU6ScqKtmF2WQXZvPp2k8Bf+9er9ReDOw8kKy0LHql9KRXSi96pPTAbDCTlZZFVlpWreescFVQVFlMsb2IosoiiuzB28X2Eu09D/2/3FXeYgGJUW/kjmNu54xhZwC1D2SNVugf9OkDpnPbtFuxmW0U24v517f/apIKf6BCkWxJ4oETH+CkwScCsHjHYu6bf3+LtyKqqOwq2sWuol3agGS9Tk/P5J707dSXvp360q9TX/qk9aFLYhdMBhM9U3pqKWE1qXRVkleeR2FlISWOEkrsJdpikSX2EkodwfsVrgoqXZVUuisbff0c0esIrRX3+83fM/PrWRH/fQi8LzdNuZFR3UfhU308/P0jfLb2swiPD1Yunz3zGYZ2GUqxvZjrP74hrNcxkjL0SunJf855gRRrChtyNnD9JzdEPP24li7ThJOQtHV9O/VlxnEzAHjjt9l1vqf2quCuW1JXrph4BQCP/Pgoy3Ytq/WYQFA5IWsCccY4PD4Pt31+GzsKdtR+TNX7dN6o87T0u/re50DZrpl0NXHGOHYV7uKWz2+tcyKGQNnuPvYu4oxxHCg9gIJC54TO2Mw2BnYeqPX21qSgwl8HKLYXV32OS7Tb/kVgA38PKql0VVLh9n+eG5K+KWongUUDJFmSOO6w4zhl8MkM6TJE2+71eVmzfw2Ldizi911/sCVvS6vvho+1InsRv+36jd92/Ra2PcGcQLekbnRJ7EKXxEwytf8z6WzrTIo1BZ2iI8WaQoo1RUvLiIRP9eFwO7C7/YPWHW4njqrbdrcdh9tRdduBy+P0z4Dlc+PxuqtmxQq/HXhs+sBjtRSvcmc57yx/l/dXvt/mUrpCx+x8+JcPtTEUm3I38b8lL7Fox6ImfT6v6tVapUMpKGQkZNArtSeZCZlkJGSQkZBBZmLwdpwxjnhTPPGm+BrX+6iLx+uh3FVOpctfSXR6nDg8jpDbTm2mNP9PcNY0j8+Lx+fR8oID/3u0+x48Pg+qqnLtpGsY0W0EPtXHfxb9l7d+f6tJxgMErmOL0cL9J94HwMq9K5nx1UwOlh9s9PkheC0E8u49Xg/P//o87614v9WMafD6vOws9K/jEpq+E6iQdEvqpv10TepKuq0TneI7kW5L19Iuaus1rYtP9fmDDJd/EoxKdyWVLjt2d+B6cuHy+r8/XB4XLo8Tp9f/v15n4B9H/N0/8HXLAmZ8PTOqAemB9yWQDnb//AeqzfwUyfE6RceIbiMosZdw1Zyr2Zq3NYpz+IOTwO9tY+5Grp57TVQNKIFyXDHh/3C4Hf7PUODH68Hjc1f9f+j20PtefKqvxh9VVavd96reattD940lm9nGk6c9QZwxjmXZy3hx8Yt17m8/JB3ykzWf8Pnaz+s85tCxD88ufI4Ve1fW8zzBY3yqjxlfzdRmmYrkmEpXJbd9cXu914YjZGB5TmkOl75zGcX2Ykx6E12TutI9uTs9knvQJbELnW3ppCd0Jr3qs2zUG/0zZ0axIn2A2+umwlUR0nBg9//t97j8n2Vv6Oe36nbIdpf2/e/Bq3rx+jx4fMH/PT4PXp8Xbw23A/d9qk+7NrX/fcH7gf3aAgksohBY9XJS30najE0er4cl2Uv5aetP/LrjV1koromUOcvYdHBTrd25OkVHclwyqdZU0uJTSbWmkWpNJdWags1sI8GSSILZRoI5gQRzAjazjURLIka9EZ2iw2qyNulUvQE+1cfna7/gxcUvUlhZ2OTnbwkurwuvz4tep6d7cjfyy/N57pfn+CbC2YqaiopKTllOnVMW28w2UuL8wWVKXDLJ1hT//bhkUqypJFkSiTfHYzPZsJlt/iDEHI9O0WHQG0iOS65zAoWmUuYo4+6v7mFp9tImPa/D4wirVDy+4Ikm7RUNVFwAiu3F3PHlnazYs6LJzt+cVFQtZW5lLRUni8FCJ1sn0uPTSY33Xy+JliQSLYkkxyVVrQWUSJIlmSRLInGmOK3nTqfosJlt1VJeo/HL9l+4+6t7oq4whAb/j/7wWFRBBYT3dlW4Krj+k+ujCioOLcP2/B1c+/F1UffKeqsq8jpFx01Tbozq2OYSGmgAqKqqfe9p2wh/LLC9pv1DvzMP3V/1b9T2MRvMJFoS2V+yn3u+mlFvoBP6Hqw7sI4nfnqy3tcX+pn+dtO3vL/y/XqPcYQ8z8tLXmFJ9pI69q7+PPd/+0CdPSLBY/zP4/Q4ue2L27X6lMvr0nq6a6KgkByXTOeEdJLjUqq+15NIsiSRFJdEclyydttm8jcmxJvite9Oo97YYn8LGuqjVR/x+IInYl2MiEhgEQWnx0nXpK4Y9UY25W5i3vqv+HbTtzKoKAZ8qo/CykIKKwvZlh/5cWaDGZvJhsVo8f8YLNpc2+G3zcQZ4zAZzBh1BowGE0adEaPegElvwqA3Vq1AbsSg898uqCzg1aWv1RoMtSU7C3bSO603H6z8kFeWvtJqe13KneWUO8vZU7wn4mMUFOKMcVqgYTVZsRjMmA0WLf3LYvTftlTdD2wz6c1V6wcYtHUEDDoDhqr/A9tDHztQmsOjPz5a47SfjbU9fwcjug3n6Z+e5qPVc5r8/IHKwI6CHdz06c01DgZtyxweB3uL99bb+hpKQcFitGA1WqsCDStxRmvYfZPejElvxGQwYzKYMOtN/tt6Iya9GbPBxK6i3bz+2+sNCgS35+9gdPfRPLvwWeaumRv18T7Vx46CHXRJ7MKNn9xUbY2KSOwq3IXH62FfyT6unnt1xFMYh9qYuxGAA6UHWLV3lfbZCXye/Lf14Z81bXvwtqIo6BRd2E/otmgWgQ0cEyvlznJu/+IOShz1/z4LKgooqizC6/Nyx5d3RpTSs7NwJx6fh+352/nXtw9GVKZt+dsA//TDry17LapjZv/+Jj9u+TGyY/K2MbzrcB778THt2oiEikqRvSjquphe0WuNBVajlXhzvPZ5Dnx+A59d8yGfZf///tsWgxm9okev81+rel3obQOGQ7brFT0GvaHaMYqiYNDVXC2PdW9aNJS0Tp1bR392BGw2G9k7t9M7qy/l5bHJVx/ZbSTlznLtQyNEexRvisdisDTZTD+ieZgNZhLMCeRXRBFdRykjIUMGRrYyekVPJ1unBs0mFmA1WjEajA0KCAI6xXei1FHaqAUMuyR24UDpgQYfHw29oq8WhGj3dTp06LTbCgqKomjHBu4r+LcFHtP+D9lfQcH/T6nx2MBj4cf6H9pXsj+qnp8EcwI+1RdV40+n+E6UOEqiGluQkZDBwbKDUfVaZyZkRrVIrl7Rkxaf1mSpnG1Z4FrV6/QoKPhUX5tZKLRNBhZDh42IWWAhhBBCCCFERxNJ3btNpULZbP5c1nVr18S4JEIIIYQQQnQckWQMtakeC4DMzMyY9lbYbDbWrV0jvSZtlLx/bZe8d22bvH9tm7x/bZe8d21ba3r/2l2PBUBOTuT5es2pvLw85m+waDh5/9ouee/aNnn/2jZ5/9ouee/atrby/sVu6gMhhBBCCCFEuyGBhRBCCCGEEKLRJLCIksvl4vHHn8DlahvTfolw8v61XfLetW3y/rVt8v61XfLetW1t7f1rc4O3hRBCCCGEEK2P9FgIIYQQQgghGk0CCyGEEEIIIUSjSWAhhBBCCCGEaDQJLIQQQgghhBCNJoGFEEIIIYQQotEksBBCCCGEEEI0mgQWQgghhBBCiEaTwEIIIYQQQgjRaBJYCCGEEEIIIRpNAgshhBBCCCFEo0lgIYQQQgghhGg0CSyEEEIIIYQQjSaBhRBCCCGEEKLRJLAQogN64P77OLB/L507p0d8TFZWb/Lzcpk4YYK27fPPPiE/L7faz8oVfzRHsTu0Hj16sGP7Vj7/7JNYF6VJBa6hm2++qdZ9jjlmmnZtNaVDr+f2yhYfz+pVKzjzjDNiXZRG0ev15OflcsEF50d13PPPP8u8eV80U6mEEKEksBCigzEYDJx77rkUFRVz/vnR/YGuyVdffc2o0WPDfk4+5bQmKKkIUBSF//7necrKyprkfOnp6axetaJBx+r1erZv24Jer2+SsgCUlJRwwfnn1fr4hRdewP79+5vs+TqaSrudjZs2kZ+fH+uiCCHaOQkshOhgTjjheAwGPc899zwXXXhBo89XWVnJnj17wn4OHDjQBCUVAddddy0pKSl8+NGcJjnfscdOR6dr2Nf/hCOPJCkpqUnKETDvq6/p3bs348cfXu2x5ORkTjj+eD748KMmfc6OxOfzceGFF/ProkWxLooQop2TwEKIDubiiy/iq6++5tPPPiUrK6vGylxGRmdeful/bN+2ha1bNjH7jdfJyMiI+rlOPOEEcg7sY+zYsdo2RVH48svP+Xhu7ZXk559/lkceeZipU6fw7fxv2JW9k1Url/PA/fdhNpvD9u3RowevvfYKW7dsYvu2LbzxxmtkZmaGPZ6fl8vkyZPDjqsprWLlij845ZSTufDCC/ht2RL27d3NqFGjALBYLMyaOYOVK/5g755d/P7bUm644fqwCvrECRPYuWMbGRmd+e9/XmDTxvVs27qZOR99yGGHHRb17w9g2LCh3HzTjVx19TV43O6IjunWrRuvvPwSG9avY/eunfy2bAmPPPIwAA8++C+efupJunbtqqUXXXHF/wHQtWtXHnvsEZYs/pXdu3ayetUK7p01U+uduObqq3j//XcByM3ZT35eLg8++K+w1//ll5+Tnb2D9ev+5P777sVoNNZb3n1797Jo0WIuvKB6oHvOOWez5s8/2bFjR7XHxo4dy2uvvcLKFX+we9dOFi/6hfPOOzdsn88/+4Srr7qSY4+dzs8/LWDf3t2ceuopNZZjzJgxZGfv4K9/uUzb1r17d15+6X9s3LCeXdk7+e7b+Zx88kna42+9OZsvPv+02rmGDx9Gfl4uEyYcWevrvuzSS1n480/s2Z3N+nV/8vRTT5KcnBy2T35eLocfPo777p3F6lUr2LM7m6+++pJx48aG7XfSSSfy3bfzyc7ewdYtm/j6q3laOeu61q+44v/4bdkS7fd3ySUX11peCF7jPXr04O233mTH9q1s2riehx9+CKPRyD//+Q9+/20pu3ftZOHPP3HssdMb9Lpt8fE89eQTbNq4np07tjF3zkcMHDgQr9db7Xx/uexSliz+lT27s1m2dHG9r0EI0XwMsS6AEKLldOnShWlTp3L6GWeSm3uQhb/8wkUXXcRvv/2u7WM0Gvl47hxMZjNXXnU1+/btZ+LECbzw/PNRP9838+fzwQcf8p8XnmPK1GOw2+1cecX/cdjAgUw+emqdx5504gkcPm4sjz72OLt27Wb84Yfz2GOPUFFRwWOPPwH4W7O//upLNm/ewsWXXIrT4eTue+7i00/mcvSUabhcrqjL/M9//B2j0cStt91Bbm4uu3btAuC9d9+hZ8+ezJg5i61btzFkyGAeeuhBsrKyuPHG4PiAhIQEPp47h7ffeZcX/vNfUpKTeeihB3nrzTeYMHESHo8n4rJYLBZe/O9/ePLJp1i7dh0nnnBCRMe9/tqr5OXlcfHFl1Bpt9O3bx+6d+8OwHPPPQfAmWeczgknngxAUVERACaTkcSERO677wGyd+1i0qSjeOThh9h/4ACvvPIq73/wIQD3338fY8cdjtfr09Kzxo8/nLlzP+K1117nrrvuJi0tjSefeIKU1BSuv/7Gesv8/gcf8Nijj3DX3fdgt9u17RddeAGzZ79V4zHdunVlV/YuXn/tDQqLirji//7J8889y8aNG1m7dp2230knn0RiQiIPPfQwO3buJCcnp9q5BgwYwPvvvcPTT/+b2W/6n69Tp058++03bFi/gX/+8//Iy8/nuOOO5dVXXub6G25kzpy5vP/Bh7w5+3W6devGvn37tPOde8457NyZzZIlS2ss+2233sK1117L/Q88wJIlS0lPT+eeu+/iyy8+Z/qxx+F0OrV9//PCC3zx5ZdcdPGl2Gzx3HjDDXw8dw7TjjmWbdu2cdhhh/Haq68wc9a9/PzzQhISEhg5cgSFhYV1/s7vu/de1vy5hhtvupmSklIuvvginvn302TvzGbR4sW1HpeQkMC777zNs88+x/33P8CRRx7Jk08+zuhRo3A6HVXnK+HOO+7glVdeZuzYw7U0rEhf9+zZbzBkyBDuvOtuNm/ewvDhw3jj9VerBRbXXXctt95yC/fdfz9Llixl9OhRPPboI7jdbj6UXi4hWpwEFkJ0IBdeeAG7du9m2bLfAJjz0VyefPJx7r77bioqKgE48cQTOOyww5gydRrr1q0HYMOGDaSlpXHrLTdXO+dZZ51ZrQV49uw3mTFzFgD3zJjBzz/9xKxZM3n1lVe56647uf6GG+tNl8rMzOS008/UKvZbtmxhwoQjmTZtmhZYXPF//0SvN/CXv/5VK////d+VrF/3J6ecfDKffFq9Jbk+/fsP4PDxR1BeXq5tmzZtKpMnTwr7nWzdupWSkhLmfPQhL7zwH7Zt26bt/8UXX/LSSy9r92fdex+ffDyHrKwstm7dGnFZZs2aycGDebzwn/9G9RoOO+wwXn75FVatXg3A5s2btccOHsyjtKQEr9fLnj17wo7Lzt7FVVdfo93fsmULp592KhMmHMkrr7xKYWEhBVWV1T179oZV8u65+y5+XrhQe98B7rzrLt5/710efugRcnLrHng9b95XPP7Yo5xy8knMmfsxAEOGDKZfv358+tlnYb0EAZ9//gWffx4clHvHnXdx7rnnMH78+LDAYsTw4UyYOKna6w3o1q0bc+d8yDvvvMtzzwUD6KuuuhKAiy+5VAtSN2/eTFJSEvfOmsncuR/z/fffU1BQyDnnnM2zz/qDNp1Ox5lnnsHs2W/W+HwJCQnceOMN3P/Av3j99TcA2LRpExdetI5VK5dz4QXna8EN+N+Hf/3rQe3+Xy//G6tWreCK//snt91+BwMG9MfpdPLmm2/hrurVWrVqVW2/ao2qqvzjH/+HqqoA3HPPDE4+6USmTZtaZ2AB8O577/HxJ/6JBLZt385pp53KkUcewYiRoykoKADgzrvuZs3qlYweNYrvvv8+4tc9auRIpkw5mksv+yvffPMNABs3bsRgMPDsM//WymC1Wrn1llt48skneeON2dr7079fP2668QYJLISIAUmFEqIDufCCC/h47sfo9Xr0ej3zv/0WgDNCZosZM3o0e/bs0SrQAQsXLqzxnN9//wNTph4T9vNsSOWsoqKSq66+hr/+5TLef/9d5s37is8++7zesu7atUsLKgKys7PJyOis3Z989GR+/vlnLagA/0DgjRs3MmbsmHqfoyY/LvgxLKgAmDhxIrt3767hd/ILFRWVTJp0VNj2nw/5XWVnZwOQGUU62ZQpR3P2WWdy9TXXRlF6v7feeotHH32Ym266Mez31RB79uwlNSWlzn1MJhPjx49n3ryvwrYvXboMnU7H6DGj630eu93OZ599zgUh6VAXXXQR33wzP+JB606nk7y8vGrlXblyZa1BRWJiIh99+D4//byQB0Iq7+BP+1mwYEG1nq/5878lMzOT/v374/F4+PiTTzjn7LO1xydNOorOnTvXOi5k3LixmM1mvvlmftj2oqIifv/jD4465HpafEgl3+VysWDBAkaP9qfpLVz4C3l5+cz78gtOPfUUDIbI2gwXLVqkBRUBu3fvjijtcdnSZWH3c3Jz2LFjpxZUAFoPTnrV7HORvu7RY0bj9Xr57rvvwvb7+efwz9W4cWOJj7fy5bx5YduXLltGv379mnwskBCifhJYCNFBTDrqKLKyenPbbbeSm7Of3Jz9ZO/cjs1m46KLLtT2S0pKIi+v+uwxNW0DKCsrY9u2bWE/eXl5YfssX76c5cuX06dPH/730ksRlTevhhlsVFUNG9PQKS2Ns846k717doX9jBgxgpRDcrYPpShKjdv376/ek5KaklLj6/f5fJSWlpCWmhq2/dDZdwKVNyXCAdPJyck8/9yz3HLrbTWm7QTcfPNNYa87MGXrzFn3csWVVzFu7FhWLP+DV15+iT59sup93kGDBvHS/15kxfI/yN65nb17dnHOOWfXe1xqSgp6vZ4nHn8srDxbNm8EIKWewCTg/Q8+YNKko+jWrRtGo5Fzzj6L9z/4oNb9TzzhBD766APWrV3Druyd7N2zS0v5ClXTexrw8MMPkpGRQVbvXtUGtKemppB3MK/aMYWF/spzWpr/ff/ggw8YNOgwhg4dAsC5557DokWL2bt3b43PmZriP+7QzwlAYUEhaalpYdvKyyuq7Zefl4/NZgP8wfTUqdP47LPPuOfuu1izeiU33XRjveNbIvmM1aa0rDSibRD8rEX6upOSkigsLKqW9nTo56pTWicAFv36S9h19+Zsf29ISkpyva9DCNG0JBVKiA7i4osvYvHixdx77/1h24cOG8oz/36afn37sm37dsrKymqsCB46uDIaZ591FiNGjODnnxfy2KOPcvIpp+Lz+eo85tCW1JoUFRWzatVqnnzq6WqPlVVVcrRK/SFxRDSvp6CwkNRDggfwp7wkJSVRVFwctj2Sstfl+OOPo0uXLsx+4/UaH8/Py+Xxx5/g1dde54svvtS2h+bUL1jwEwsW/ESPHj24775ZfP3VPMaOG1+tNyagS5cufPP1PJYvX8GMGTPZt38flZV2Zs2cQVJSYp3lLS4pAeC++x9gwYKfqj2eW08aVMDvv//Bzp07ueD889iydStOp5OFC3+pcd+TTjqRt96czeuvv8Hzz/+H/Px83G43n336cUTPFfD1N/N55ZVXWPDjD9x++208+uhj2mMFBYWkpqVVOyataltRUTEA69atZ+26dZxz9tls27adk086idvvuLPW5yyoCkxSU1OrTaOblpZGUXFR2LaU1Oqfx07pnSguLtHul1dU8OL/XuLF/73E9OnH8Phjj9K9WzduufW2WsvR2Os0WpG+7rKyMpKTk1AUJayMycnhPRCB/c8482yKD/kMAuzdu6/aNiFE85IeCyE6gMTERE4++SRmz36L1WvWhP28++577N27l4svvgiAVatW06tXT/r17Rt2jiOPPKJBzx2YaehfDz7EP/75f/Ts2aPGsRoNsWTJEgYPHsyOHTuq9Zrk5h4E/K25AD179Aw7dvKkSRE/z4IFC8jK6s3gwYPDtk+dOgWr1VrrAN2G+vbb75gydVq1n/nzv2X16tVMmTqN2W++SWFhYdhrrmmw7p49e7jlltvo1KkTAwYMAMDldmOxWML2O2L8eGw2G1dceRXfzJ/Pn3+uZdu2bXTpkhm2n9vlz+GPCzne4XCwYsVK+vfrV+192LZtW1Trb7z/wYecf8H5XHTRhXw0Z26tld9pU6eyadMmbr/jTn799Vc2btzIwYMHtUp/pH788Ueys3dx8y23ctONN4TNHrZgwQKOmTa12kxkJ55wAgcP5rFlyxZt2wcffMipp57K9OnHAFRLCwv1xx/LKSkp4aSTTgzbnpqayrjDx7F48ZKw7ZOOCk+NMpvNTJs6lT/+qHkhyh9++JFXXnm1wZ/Z5hLp6161ajVGo5Gjjw6fye3II8Nn2Fq+fAUOh4Pu3bvVeN1FM1GCEKJpSI+FEB3AOeecjcPh4Kuvv672mKqqfPDhR1x6ycU8+NDDfPX11+zcuZM33nidWffey4EDORwx/nDOP2QazwCr1UqPHj3Ctnk8Hg4cOFC1sNsL/PnnWl555VUAbr75VmbPfp0fF/zEihUNW6Qt4L8v/o/zzjuXt96czUsvvcz+/ftJSk5m5MgRLPx5Idt37KCsrIw//ljOTTfdwP4D+9mVvYthw4Zx/fXXhc28U5clS5Yyb95XzJ79OjNnzGL79u0MHTaUhx56kLlzP2bjxo1Rl33H9q18NGcOd955d7XHiouLa2yBLSouIiHBVm2sx6GeeebffDv/W3bs3InJZOTSSy6hpKREGzi+edNmUlNT+fvf/8bPP/2My+1m23b/4PO/Xf5XPv3sc1JSkvnLXy4jKTmZysrgGJZNmzcBcMONN/DB+x+gorJjx04eeOBffPTRB5SXl/PlvK8oLSmhc0ZnJhx5ZI09SrX58MOPuOvOO+iTlcXMGbNq3W/btu2cd965nHbaqWxYv4FevXtx9VVX1TsTUm0+++xzjp48mRdf/A9Tp07j4ME8/vvii1x88UW89dZsnnrqaYqLSzj+uGO56qoruf32O8N63ebO/Zh7Z83kxhuu5/PPvwib2epQ5eXlPPrY48ycMQO3y8WSpcvIzMjgnnvuJjcnh/ffD0//GjToMB64/z4+/OgjTEYTt99+K/E2Gy9XfaaOPnoyo0eP5vffficnJ4du3btz4YUXsmLlygb9LppLpK97+fLlLF26lGef+Td33zODbdu2M3TIEK677tqwz2xpaSlP//sZHn/sUVJTU1m27Dd8Ph89enSnS2YX3nr77Vi9VCE6LOmxEKIDuOTii/j4k09qnX71/fc/ID09nWOnT8fpdHLGmWezddtWXn/tVb784jOmTJnC+RdcVGMazcknn8SqlcvDfr6a55+p59prrmb48GFcd/0N2v7ffvcdc+bO5cUX/0N8vLVRrys/P59jjzuBkpIS/vfSiyxe/CsfvP8uU44+GkdIBeSKK69i8+bNvPrKy3z33XzOv+A8rrjyKm1QdSSuvOpqvv7qax5//FF++eVn7rn7bt6c/SbXXnd91OXu0aMHiYmJ/PDDj1EfGxFV5cknH2fhzwv4/LNP6dOnD+ece77Wc/DN/Pm8/Mqr3HzTjfz0049MP2Yaa9eu47bb7+Ciiy7k559+5PnnnmXx4iU8/fS/w069fv0GHnzoYc45+ywWLvyJCy/0j89ZvGQJZ551NkOGDmHORx+waNEvvPjf/9C1a9eoin7gwAF+XriQP/5Yzrbt22vd77XXX+eDDz7kySce54cfv+fmm2/i0cceY8FP1VOxInXX3fdQWFDI/158EUVRqKio5NTTzqCstIx333mbBT9+z5lnnsE111zH2++8E3ZsQUEBP/zwIyNHjqxzXEjAK6+8ysyZs/jnP//Bwp8X8PLLL7Fl6xZOPe30sEAO4NFHH8dgNPLRRx/y2WefYrVaOfOMs9i9ezfg/xxMnjSJd999m8WLf+WF559l6bKl3HnnXQ3+XTSXSF/3xZdcxk8/L+TfTz/F/G++4sILL+DKq65mx46dYed7+ul/c+9993PxRRcy/5uv+PGH77h31kyMpvrXTxFCND0lrVPnlk2yFEKIDu6MM07n4YceYtjwETUu+CVEQH5eLjfceBPvvvterIsihBD1kh4LIYRoYUccMZ5333tPggoRkdpmMBNCiNZGxlgIIUQLq2lchRBCCNHWSY+FEEIIIYQQotGiDixOPfUUvv5qHtnZO9iwfh0P3H8fer0e8M8L/+qrL7Nj+1bWr/uT2269JezY+h4XQgghRFCn9AzeeefdWBdDCCEiElUqVEJCAn+57DKeePJJlixZSu/evXlz9usUFBby7LPP8cy/n8br8zJm7OEkJyfxxuuvk5+fzxuz3wSo93EhhBBCCCFE29ToWaGuv/46Jkw4kmuvvZ716/5kxMjR5OTkAP5FhGbMuJuJR02mU6dOdT4uhBBCCCGEaLsaPXg7LTWV3NyDDB06hNzcXC1oAFixcgX9+/fHZrPV+3hN8+ObTCZMJlO1bQ1dAEkIIYQQQgjRPBo1eDs9PZ3zzjuPN998i9SUVAoLi8IeLywsQqfTkZ7eqd7Ha3LjDdeTvXN72M+WzRux2WyNKbYQQgghhBCiiTU4sIiPt/L2W2/yv5deYuXKlahq9YyqwNzbHo+33sdr8syzz9E7q6/2M3TYiIYWVwghhBBCCNGMGpQKZbFYeOvNN1m+YgXPPvscAPkFBaSmpoTtl5aaCkBeXl69j9fE5XLhcrkaUkQhhBBCCCFEC4q6x8JisfD2W2+yddtWZsyYqW1fs2YN6enpZGZkaNtGjxnN7t27cTgc9T4uhBBCCCGEaLuiCiwCQcXmLVuqrRxbWlrKx598wkMPP0hKSgq9evXijttv562334nocSGEEEIIIUTbFdV0s+eddy7//c8LNT42avRYCgsLePKJJzj++OPweDx89NEcZt17Hz6fD/CPy6jr8frYbDayd26nd1bfGmeREkIIIYQQQsRGo9exaEkSWAghhBBCCNE6NWq6WSGEEEIIIYQACSyEEEIIIYQQTUACCyGEEEIIIUSjSWAhhBBCCCGEaDQJLIQQQgghhBCNJoGFEEIIIYQQotEksBBCCCGEEEI0mgQWQgghhBBCiEaTwEIIIYQQQgjRaBJYCCGEEEIIIRpNAgshhBBCCCFEo0lgIYQQQgghhGg0CSyEEEIIIYQQjSaBhRBCCCGEEKLRJLAQQgghhBBCNJoEFkIIIYQQQohGk8BCCCGEEEII0WgSWAghhBBCCCEaTQILIYQQQgghRKNJYCGEEEIIIYRoNAkshBBCCCGEEI0mgYUQQgghhBCi0SSwEEIIIYQQQjSaBBZCCCGEEEKIRpPAQgghhBBCCNFoElgIIYQQQgghGk0CCyGEEEIIIUSjSWAhhBBCCCGEaDQJLIQQQgghhBCNJoGFEEIIIYQQotEksBBCCCGEEEI0mgQWQgghhBBCiEaTwEIIIYQQQgjRaBJYCCGEEEKIRtGphoj3HeAYz+klN2PxJTRjiUQsSGAhhBBCCCEarJdrGFcW/Jfh9mMi2v/48ivo6R7KsWV/b+aSiZYmgYUQQgghhAjT2zmC84pnkuLpWu++o+wnoMfA0RUXR/cc7uENLZ5opSSwEEIIIYQQYY4r/ycZnizOLbm73n0L9fu020nezvXuX6rL127He5MbVD7ROklgIYQQQgjREahgUE1RHWJWrSiqUuc+bsWh3e7rHF3vOe268uD+rrFRlUe0bhJYCCGEEEJ0ANPK/8rfC58hzdO93n33G7Zqt7t4+te5r4Jeu93feXi959aFBCqDHBPq3V+0HRJYCCGEEEJ0AEOckzGpFo4v+78I9la1W/UFCzo1WJ3s7O1NmqdbnfsrHLp//YGOaBsksBBCCCGE6EDSvN3Rqfo69wmt/A9wjkevGmvdV0f4uQY5joro3A7FnxI1xDG5zv1F2yGBhRBCCCEaT1Ww+GxRHWLxJXBi6dX0dsnsQC2hRJen3c5yjaxzX11IFdGixtc5diIQKBzUZwNwmHNinWM5Auf+07IAgMGOSVh88XWWR7QNElgIIYQQIoxBNdXZQl2TKRWX8PfCZ+jhGhzxMeMqT6Gfayynlt4YZQlFQygExzaMsE+vZ19/L0Shfj8AwxzTat030Pux07yaEl0ecaqNQY6JtZ+7KnVqj2k9efpdGDEz1DE1shchWrWoAwubzcYbb7zGyhV/hG03mUw89eQTbN60gS2bN/LYY49gMBgiflwIIYQQsWf0Wbi88EnOK54J9cwGFGqYYyo6dJxRemvkz6WaG1JE0UChKUvdPAPp7O5d+75Vlf+1lp/w4qarpz+Z7r61nNe/rxcPq+O+BWCk/bhaZ5MKBDg+fKys2n+E/Rj0UazeLVqnqAKLgQMH8t233+Bxe6o9NnPGPQwY0J+jp0xj0uSj6de3H3ffdWfEjwshhBCimUQRICT50rGoNjp5u9PbPSzi45xKpXY70dspomMqdCXabUWVJIrmFuhZyDVkAzDKfnzt+1YFIWW6AjaZlwIw2n5infv68LLBsgi7Uk6yL4M+rprTpwKpUyoq28x/UKrLx6om1dkrItqGqD7FRx01kfvv/xezZ78Ztl1RFC655GIe+NeD5OTkkJt7kFn33svll/8VnU5X7+NCCCGEaAYqnF5yMxcW34/RZ4nwoMjTZUIV63O127VVQA/lCFnPwOZLifi5RMMEehZWxn0DQD/XWJI9mXXuqyoqq+Lmo+Kjj2skKZ4u1fYNBAo+xYdHcbHW8iMAR1SeWWPAGAwsfPgUL79bvwBgbOUpmHxxjXmJIsaiqtW/9trrfPvdd9W298nKwmq1snr1Gm3b+vUbMBgMDBw4sN7Ha2MymbDZbGE/QgghhIiMgkJP91A6ebtzuP3UiI4JnTq0p3tonekyYc8Vctxgx6SIei1CnyvBlxbR83R4gUXuouiFCtDhTzU6aMhmh2kVOvQcWXlWjfsqarAXosiQww7TKhR0Ne4f6AlR8QKwKu477EoZqd6uDHZOqn7ukEAEYJN5MQX6vcSpNsbaT476dYnWo0m6C1JSU6moqMDtdodtLy4uJj09vd7Ha3PjDdeTvXO79rNu7Zpa9xVCCCFEuNApQ0faj4toTMOhU4fWVvGsflzwufQYOLzytKieK8ErgUV9BjsmcXnRU1xV8D+uKPgPx5b9kxRP14iPDwRyPrwstX6CDx/9XGPJcPepvm9IrwLAUuun+PDR1zWGLu5+h+wbCEL8+7p0dn63fgnA+IrTq80QFVggL3BuVVFZEv8xACPsx8q10IY1SWChqmqN2xVFwevx1Pt4bZ559jl6Z/XVfoYOG9EUxRVCCCE6hNCKuw49w+z157AHjvHixouHnu6hdHMdVu9xgQG5S6xzARjonEC6p2fE5ZMei7qNqjyeY8ov11LGTFg4zHkkFxXfz/iKMyIaoxL4fav4KDTsY5N5MQBHVZwXuh4eENKrUNULUWTYzwbzrwBMPGR/LWBRvNq2dZafKNEdJF5NrjaWQzkkaAHINq5hr3EjBowRB7Oi9WmSwKKgIJ/4+HiMxuDUdIqikJSUxMG8vHofr43L5aK8vDzsRwghhBCRObSyOdZ+MlZfUp3HBCqJxfpc1lsWAnBUxfn1VlwDlcUcw3a2mH5Dh45pZZfXeVzoIm2J0kpdqzRPNyZUngPAb9bPeCn1Gj5KepAdppXo0HO4/TTOKrkDqy+x9pOoIUFjVQCwzPoZbpx09Qygv2tc2O5aL4QSrPz/bv0cN066ePrR1zWm+r4hgYJP8bK0qhdidOWJxIWULRCEqqHRiQKL4j9ExcdA55E19qKI1q9JAovs7F0UFRUxYkSwR2Ho0CEA7N69u97HhRBCtD86VU+St3Osi9Ghha5bkKffjVm1clTF+XUeE1pJ/N36JQ6lnM7eXoy0H1fPcwUH+/5iex+HUlHvcaE9FjbpsajV4ZWno0PPNtNyfo/7ApfOTq5xB18lvsD8hJdwKpV09fTn3OIZpHm613iO0N91YCxEhb6IFdavAX8vRGjKUmjaVECFvphVVdPDHll5thY0BnsggvsCbDX9Qa5hByYsjK88XdsevFZ8YfvnGXaz0bwE8Aezh/aiiNavyaZkeuON2dw7awaZmZl07pzOfffey5w5c3E6nRE9LoQQovXQqQb6O8c1aoaWCRXncFnRo4yuPKEJSyaiEVqZXGCbjQ8fA51H0NM1pN5jfIoXu66URfEfATC+8vQ6A0UlJG/eritlcdVxR1aeVesA8NDyRTpFbUdj9SVqq2T/Zv08dNIuALaaf+PD5Aco0ueQ6OvEOSV308tVfZrg0N91aMrSyrj5lOrySfClMdoe/KzWlK4U2N+ulJHizdQGZgfGY4Set+ok2vUzxDGZlKoZqBQtaAk/N8Ay6ydVvSj96ecaW/MvRbRaTRZYPPnU0/y5dh0Lf17Ab8uWkpOTw8xZsyJ+XAghROsxwHk4J5Rdxd8L/13rIlf1CVQ6JlaeR6K39ok6RO3MPivJnkzMPmuDjg8dvH3QkM2fVdOATi/7OxZfQs3HHNJSvdG8iD3GDRgxc0LplehqWcQsmJPvryxuMP/KdtMK9Bg4oeyqGoPU0FSoJF962H3hd5hjAnoMHDBso9Cwr8Z9SvQHmZP0EHuMGzGpFk4pvZ5+zvDUptCUNG9Iz4JXcWtB4OjKE7F5U4HwADOUW+fQBmYfXukfmK1Tq6dCBew3btFmoApMQ3zowPBQ/l4R/wykgxxH1fh6RevVoMBi8ZIljB4TfsF6vV7uuWcGAw8bTFafflxz7XVUVFRG/LgQQoimdXT5JRxdfkmDAoNUr3+mGQMmRtaxiFZdcg07tdvTy/4mC6BFIcGbxkml1/CPwue4tPhh/q/wBc4vmsVgxyT0qrH+E1QJS2dRYGn8xxTo9xGvJjO97G81ppqEDvAFQIEfbK9hV8ro7O3tH+hb03MdWllU4Afb65To8kjypTO9/O/Vnu/QweVJ3oyIX1tHMcA5HoANll/r3M+pq+CLxKfZZF6CDj3Hl13BAMcR2uP6GlKhAraZlrPXsAkjZiZWnAsEr52aKv/rLD9TosvD5ktmoPOIagO9D7Uizp9uNdB5BHG+xFp7QwL2GjcAkCzXQ5sj3/JCCNEOmX3xDHdMY7hjWsSLlYVyK8E01SMqz6w1b7suofn93TwDtQqLqFuiN51zi2fQ1zUGHTptRevO3t4cU345lxQ9RH/nuIjyzw/tRfAoLr5NeAkPbrLcIxhlr56mdugAX4ByfRHfJ7wKwAjHdPo6x1Q7ThuQG5I379LZmZ/wIl7c9HWNrvZ8+kN6KFK9NS/W1lFZfPGke3sBsNNU/5T7PsXLD7bXWG/+FR06jiv/B1nOkUB4wKgq1aaA4lfb+/jwMcA1nk6eHig1DMgOPo+HtZYFAAy1T9XWxzh0zERAjnE7OYbt6DEyxDE5bOXtmpToDwL+mcKkQaJtkXdLCCHaIT3BdJXxlWeQ4c6K7viQdBcDRk4uvQ6LL7pFSgPpEVtNvwMwynF8WAuqqIGqcGzZ34lXk8jX7+Hd5Bm8nHYtr6beyCLrh5TpCkn0deKEsqs4s/S2elPMqvU+AAWGvfwS/x4AEyrPpqu7f/gxhyx2FrDLtFZreZ5e/rdq4y0UtebK4kFjNr/Ev1/1fOfQzRVcGPfQNTNSvJGvydARdHX7f1cF+n3YdaURHaMqKgtss1lv/gUFHceXXUGqp2vIgnc1V/7zDXvYZvoDgJH2Y2sfN1Flo2UxHtx09vYiw9O76tw17wuwrmqGsX7OsSHnrrks5bpiPLjRYyDBl1rPKxatiQQWQgjRDoXmqusxcFLZNcR7UyI/viow2WheRInuIEm+dE4qvSaqNJxAq+QW828sj5sH+Fu7Re0GOSfS1TMAFw6+THyWQsN+AOy6UlZZv+WdlLtZZv0UN066uwdxYdH9DLVPqXUV5pp6EQDWWxaGpMxcFTYVaE1ThwYss37KPsNmTGpcteuhrvSWdZaf2WhejA4dJ5RdSbw3ueoY/3PZlTIAUqTHIkx3t3/9kH3GTdEdqKj8bHtbGxtzTPnlGPC/V3VV/tfE/QBAX+dYzKp/XE9t6UoOXTk7TavCttUWtADsNK3Ch5d0b3Btk9p6LFBUSvX+5QiSvJ0xqmYGOybVOi5ItB4SWAghRDsU2hJcoN+HzZfKaaU3RjzLU6DHokJXwrzE53Apdrp5BnJy6bW1Dt6trQw+xcemqikkUz1da60Ed3gq2qw8f1i/oFxfWG0Xj+LiD+uXvJcyy1/Bx8LUiss4vfTmGtcwqGnKUAAU+Mn2FgX6vdh8yRxf9n/aWJy6Wqp9ipdvE16iUimhk7cHk8svCjll4LlqqCwq8LPtbfL1e7CqSRxX/k9Qg6lQ+Ya9AKR4u9T5K+poulX1WOyNNrDA/159b3sVp1JJpqcvw+xTte21yTFsp1iXiwlL8Dx1BCLZpj+rPWdtHLoK8vV7wrbVFrQAlOj8gUWiN51xladyTPnlnFVye637i9ZBAgshhGiHAj0WDqWcLxOfoaKqInhG6a2YffH1H6+tvuyh0LCfLxOfwY2TXu5hnFp6A0afpZ4zhFdqi/UH8eDGhIVEn0wrWpOunv6kervixslay8917luqz+OTpMdZGP8ebpz0dA/h/OL7yHT3DdtP0VKhqlf2PYqLbxJexIWDHu7BHF55BkDIDD81VxIr9MV8m/ASKj6GOo/WVuWua6afwPN9nfgfrbdloPMI7Tor0FcFFp4uEnhW0atGUr3dADhg3Nagc1Toi/nN+hngT0WEugMFFNhtWhe2qbZ0JYB9xs1h9+sKFAByjDsi3j8wziLJ15kersEApFX9PkTrJYGFEEK0AqmeroyuPIHJ5RcxoeIcDnNM0NJFGiI0naVMX8AXSU9jV8rI8GRxVsntda/QS7DHwqd4ANhv3Mq8xGdx4aCnewjnlNxVb2pV+GBRH4V6f1pPpwYMBO8IBjsmA/7UMbfOUf8BisqfcT/wYfL9Vb1SyZxVcgcDQ8axaL0PtVQmiwwHWJAwG4DD7afS0zUkJBipvdK317RJC36mVPhnHqst7SpUif4gf1RNVTqx4jyMqhmAQsN+3DgxYSFFZgICINXbBR067EoZlUpJg8+zzrIQh1Kh3a8zsKB670hd6U1lugJcij2ifQHyDeGLItd9rQRSodLJCzkudBE/0fpIYCGEEDFk9FmYXvY3Li5+kImV5zHCMZ0x9pM4tvwf/K3oac4tvofBjkkR9RCEOnQO+nzDHj5OeoxyXTGdvD04r3gm6Z6etR4fGPztxaNt22vaxCfJj1KhVJ2jZGatC58B1aagDMzBnyqtjtUoqkJv1wgANlkWR3VskSGHOckPstX0B3oMHFv+Dy24qG2F41Bbzb/zZ9UMP5PLL8ZQNW7CW0daC8BS68fYlTJSvV3p5zq81sHbh1oV9y1lugLi1WR6uof6nwu3VnlMrxoI3NGleXoAVWlijejE8SpudphWavfr6oEAf+pkqDp7IRS0BgP/ueu+Zsp04el9dQUipYEeC2/nsIHrnap+L6J1ksBCCNEgFp+NIyrOlC/5RtCrRk4tvYFBzqNQ8bHTuIY/4uaxxvIDuYYdqPjI9PTlmPLLubzoSSZUnIPVlxThuaunsxQZ9vNJ0qMU6Q+Q4Evj7OK7/NOW1iCQDnNo5TLPsJs5yQ9puflnl9xZ+zlCxlgA5Felu0iPRXXpnl7EqTacSiUHDNujPt6tOJmf8D/+tPyIgo5p5ZfT2d07JB2t7srkEutc/2rKvkzt/Tx0VqhDuXR2/ozzL7gXPoVo3c/lU7ystfwUts2reMkz7AKgs6dXncd3FIHPSSBNrDF2m9Zrt+vrsQgMmo50/0L9Ae12fe99+SGBRd1jLIKpUErImLHOnuhmuBMtSwILIdq5BG8afZyjG7x6cm0GOo9knP1ULiy+n37OsU167o7iqIrz6eYZiFOp5JOkx5iX9CzL4j/hF9t7fJT8IK+n3swi60cU6XIwq1bG2E/ir4WPM63sL9Wm+jxUbQtWlegP8lHSg+wyrvWvpFx2FUdUnFktr12vzSDj4VBl+gLmJD1MtnENBkycUHYV4yvOqHaOQwcOF1QN0O3klWD0UIGW+73GjXX2LtRJUVkY/x47TKswYOS48n9qaSP1VfjcOoe2LkFnb2+g/golwEazv3elh3tQyKxD9Zd/i/m3sPs+PBw0ZPufX3osgOB4gsDnpjECv9tI+BQvZboC7X5912Nob0J910y5rijsfl29WyX6fFR8mFQL8SENKhlyfbRqElgI0c5NK/8LJ5ddy7klMyKeESgSFp9Vu31i2dUcXX6J5L5GIcOdxTDHFAC+Sfgv+41bq+1TqStllXU+76Tcw7yE59hv2OpfYMp5NJcUPcTUsr/UOs7h0FSoUC6dnS8Tn2FF3DcAjLOfyollV4W9f3qtx6J6YAH+iui8xOdYGTcfgMPtp1U7x6FrKBysapFO8XZp0muxPejpGgLAbuP6evash6Lyve1VKpUSUrxdGOScCERW2d9kWRp2v76UGfAHmdVm+onwuGJdbvC58GqV33RvryZvCGmLAqlQTdFjEWj9B0j0pdW7f2UUwUJgAUf/vnW/9y6dPex+XQGvT/FogUjoNMRdDll3RbQuElgI0c4F8pUzPFmcXzyryb6UD13YarhjGhcW3a/N3iHqdkTlmSjo2GRewh7Thrp3VlR2mlfzcfIjzK3qKdChZ6jzaC4reoQJFedqg2ADtMHXtVQKVEVlSfwcvre9ihc3/VxjObv4TixVM0YF1rGoqcci9ByL4z/iB9vrePHQzzWWM0pu1YIL5ZDgxqEr0yqTmZ4+db/mDkSn6smo+n3sNW1s9PlcOrsW8A1yHgVEVtkv0R+kKCStJZIeC6BaUFzfGIuA3JAZgnyKlyL9AVyKA5NqIc3bsdPlTL444lV/K31gLZNGUUJv1l/18+DSbtcXLIQFFvWMsQBw46yxXDUJzAyVHBJYJPnSSfDWHxyJ2JDAQoh2LrSbOtmXwdkld3BU+QWNbjEOLIy1Iu5rPkt8knJdIcm+DM4ovZXTSm6SL/46pHgy6ekeiopPmwoyUgeM2/gy6VnmJj3MfsMWDJgYYz+Ri4r+pU37CaGzQtX9h36TZQmfJj1BpVJKZ29vTiu9BaNq1gKT2nosQm20LOLTpCewK+V08fRjetnfQa15DYUco3/8QKanb43n6ohSvF0wYMSpVFIc0rLcGBstS8JagyPpsYDwlJlIA4vA2IiA+tKuAkJ7Onx4URWV/YYtQHD9ho4qyedfUb1SKcGtOOvZu+l5lGBggVJ3oOjUBQOLSN77aFL9AmtZBBbrC+juHhTxOUTLksBCiHYuUEH8PPFpNph/RUHHKMdxXFb0KMPt07XHoz6vNmuQlz2mDbybPJNVlu/w4qGXexjTyv/aVC+h3RnmmAbATtMaSvX5DTrHAeM2Pk56lC8Tn6FUl0+irxNnlN6qLYKlrUUQQQviAeM2Pkl6rGo62t5MqDg3bB2LyMqzla8Tn8eLm/6ucQxwHhEy1WmwIpFj8LdSH7reQkcWGFOQZ9hVbyUuUg5dGbkhQUJ9A7EDQmcEiiQVCqrP9BNpYFGhC06hGghiAusidHMfVuMxHUWi1x9YlBwykLoxIv0sA1EFM+GpUPVfZ5EGrBDssThU9w5+fbRmDatRCCEapbO7N73dw0n2ZmDx2fAobuy6Ugr1ByjQ7yHXkB3ZPPYRCKS02HWl/JjwBlvNfzCp4gJSvV05uuIixlaezJq471ln+Tms5ane82ot2m7An36xyPYBW8zLOL9kFt3cA9CrRu1xUUVV6Fc1686hM+NETfGvfLsveRZHV1zMIOdEplRcilOp1H7vkbZUFxkOMD/hRc4svZ3hVYEPRBaYBOw3buV365ccWXkWR1SeofVqhZ4jp2qhr0xPXxRVQW2iinRbFpj2N0+/u549o3PQkK2lnPki/D2HBhaRBiOHzvQT6TVXGRpYKIcGFgP8kwF00Osj0etfRLKhDQ81cSoVWNXIZpUL67Go97yhqVD1v/eRXh9QPbDabVxHT/dQursHd+jrozWTwEKIFpToTWda+V/pUU83bmAg4z7jZu0nmi/6UNog3KpKwm7TOt4zzmKwYxLj7KeQ4EtjQuU5jK08hU2WJfxp+YEiQ079561hnQPwV2bKdcXYfMlkeLLYb9zSoHK3VxmeLOLVJJxKJXuNjc+nB/9A6h9sr+FQyhnlOJ5jyv/Gcus8ILjAXST2mjaxzryQoc6jtW3RtHICrI77jpH2Y0nyBWetCm3BztfvxalUYlatdPb0Jte4M6rzt0eBHotoZu6JRIk+ODg60iDBrivTbkfaslxtpp8IezpqGiCcZ9iFS3FgUW2ke3tWS7PqKBKrUqFKdU0YWOgqsXqbPrBwK8FGsEiuM5/iI8JhONV6LPYaN5Hp6Vv190W+P1ojCSyEaCFd3P05tfQGzKoVLx52mFaRa9iBXVeOQTUS70shzduNdE9PEn2dyPT0JdPTlzH2k/DgZp9xM7tMa9llXEuxPifiBZO0QbghFUxV8bE+biEbLYvo7xzHaPuJdPL2YLhjGsMd09hlXMuauB/YZVxXa4tQrTn4Cuw3bGaAazxd3QMksDhEH9coAHYZ10bVG1AvBRbHf0Satxs93UM5ovJMILq0A4CV1m/CAotoAhPwV0i2m1cwtGrGq0PLoCo+9hg30M81lh7uIR2+YqCoirYWTJ6haXssAvnpEHkrsSvK1mfwB7Y+fFrqW6SDt0N7LALH+BQve4zr6esaQ5ZzZIcNLJKqUqEOXVOiMexKOTXPIVedm2gCi2DaVCTXWV0TQhzq0KDVo7jYZVxHf9c4+rhGdfjvj9ZIAgshWkCqp6sWVOw3bOW7hJcp0xfUur/Nm0o390C6uQ+jh3sQib5O9HIPpZd7KHAhJbo8dpnWkm1awx7jhjorqHXNDuRTvGy2LGOzeRnd3IcxwjGdPq6R9HIPo5d7GMW6XNbE/chG86JqqVmBdQ68VE912m/cygDXeLq5B7KceZH8ijqMwOrKO8yrmvzcqqKyKP4jLioeqm2LNrAo0R8kX7+XTlWz8nijPB5gl3FdeGBxSAV1t3E9/Vxj6ekaovWsdFQ2XypGzHjx+BsMmlBoa2+k4x6iHYgb4FLsWNT4qI5zKOXabXPVsQA7TKv9gYVrJL/Hfx5xGdqTRF9VKpSu6QKLBbY3ObvkTlbEfV3vvp4oxlhU6IpDjqs/IInmunIoZWFBqw8fO0wrqwKL0Sy1ftKoVclF05PAQohmplP1HFf2z6qgYgufJT1V77iDcn0hm/VL2WxZCqp/1phe7mH0cg2jm3sASb50rXfBoZSz3bSSzeal/vzkQ75kIxqEq8A+0yb2mTaR6O3EMMdUBjsmk+zL4OiKiziy8iw2mhexIu5rKvTFQMjKzjUENfuMmwDo6u6PQTU1OI2rvTH74rUK+x5jPVPMNlCBYS8H9bvo7PWvXhxpq3OovcaNwcAiyh4LgELDvrD7h6ZH7DGthwr/OAuTL67a3PYdSWAazRL9wSYfb+LQBSvukV4HTiX4XkQzsUNoZTHSiqOqqLgUOyY1jvyQ3pps05/48NHZ2wubN5VyfWEdZ2mHVKVZxlgUGfbzaur1EVXEo/nO9ileXkm9AYXIxmRF852kKip2pUybeteHl2zTn3hxk+rtSidvz7BrR8SeBBZCNLOR9mNJ9/bCrpTzdeJ/ox/MrPgH1hYZDrA67juMqpnurkH0cg+jj3MU8WoyQ5yTGeKcTL5+LyvivmKL+Xd/CpOqBMdCRJh2U6rPZ3H8HH6zfs5Ax5GMcEwnzduNEY7pHOacwI+2N9huXlFnj0Whfr82U1F39yCyTWuie83tVBdPPwCK9AfCKn1Nbb9xSzCwaECPQ2hufrRjLCA8BcdfhvCKRKk+n0L9flK9XclyjfQH0B1UYOGvoiburQDwhHw2A1P/1if082xULRE/V3hgEXmA9HrKLZhUS9jYDoeujAOGrXTzDKS/83BWWedHfL72IN6XhB4jPrzVZtxqtAhb991RNgY5Qt6/+kT7nVSpKyG+amyIqvhw6ezsMK2iv+twBjkm8qtNAovWRKabFaIZGX0WRttPAmBR/Adha0o0lFtxstO8mp9tb/NG6i18kvgY68wLceGgk7c7x5dfwZkltxHvTQ5bxC6avFbwt1itj1vIe8kz+TTxCXIMOzCrVk4su4rBjkl1r3NQNVsRQG/X8Ia/2Hami9sfWOw3bGvW5wnNS29IYFGqC6bpRTvGAvx//MPy+2sIareZ/gCgn2ts1OdvT5K9GQBNngYF4AlpxDh0QctahVQ8DZhq3+8QYa3QUaSmuHUOrRc01GbLMgAGOSdEPNC3vbD5/CMhKnTFUa350JS2m5YDcFCf3eTnjiYVCg6ZPazq2I2WxQAMdB6hzVAoWgd5N1qA0Wehh3sQqd6uxPtSqlJIdDh1FTiUcip1pZTq8inRH6RCVyTTL7YjQx1TiFNtFOlz2Gxu+lZZVVHZZ9rMPtNmFsd/xHDHMYypPInunsM4r2QmXyT+W9u3ISktACj+1YDnGh9mcsVFDHdMY0r5pfWeN9u0huGOaWS5RvCz+o5MC4g/NQz8az40pwJD6FoE0QcWoeN/GtJjAeE52jUN6NxqXs7h9tPp5RraodOhkpuxxyK0MSHiwCLEoau51yXaymJ9tpp+ZzIXkebtXjU7VMdplY73JQPhYxdaWrm+iJdTr22Wxfmi77EINsgF0ip3G9dTpiskwZfKAOd4NlUFGiL2JLBoRqmebhxeeRpZrpEYqtJG6uPFTam+gBLdQUr1+ZTq8vz/6/Mo1eVHtc6AiDFVYZjDv1jZirivmz1gdOnsLLfOY6v5d04pvZ5Ub1dOKr1GezzaHotDqYqPhfHvYPUlhrUy11bx3GvciFOpxOZLpaunf4efHUpRddq0ogeaucfCqVRotxvSY1Gmq31igUiFXhc1laFQv48C/T7SvN3o7zyc9XELG/2cbVGwxyK3nj0bIKTnILBgYjSiSYWKZm2CSPjTXVYywDWeYfZpLEiY3aTnb81aQ2ABNFt9I9rGjtDpbAM9Y6ri40/LD0ysPI9R9uPYZF4sg7hbCQksmoOqMNZ+EuMrz9BaiYp0OeQad1Cqy9daeM1qHBZfAvG+ZBK9nUj0dUKPkRRvpj/vtoZUfKdSqQUb5boiKnUlVOhKwv63K6XS69EKBAZZO5VKtph/a7HnLdEf5PPEp7io+F8k+/yVFh++prkmFFgSPzc8sKhlzIhX8bDNtIIhzkkMdBzZ4QOLZG8mBky4FEfzVCJDhA7AbQiXzs568y9YVFu1xc8iFdaTVdO1p8AGyy9MqriQoY4prLcs7HAVA71qJNGXBjRPj0WohvRY1LbqcU2auscC4M+4HxngGs9A55Esjf84bBxGe9ZaAovmEm0QWlsjxTrLQsZVnkYnbw+yXCPZaV7dVEUUjSCBRVNTFaaWX6bNA7/dtJLfrZ+Tr99T7x9NRVWw+VJJ9KaT5Esn0ZtOoq+TP+jwphOvJmFWraR7e5FeNTCzJj58OJUKHEpFVbpVyP9KJQ5dRcjjlTgV/49LV4kbZ4f7495cBjknArDV9EeLrz5dri9ineVnxlSN72hsb0WoEv1B8vS7Sff6VwuuK1Vms3kpQ5yT6O8axy/qex16Fe7ALEsF+r3NnhYW2sJnUCPPkw/V2BbiSFKoNpmXcGTFOXT29iLD04dc445GPWdbk+jthILO/72sNG+lOZoZnuYkPUR/5+H8HvdFxMc0R2PWAcM2cg07yPD0YYR9OsviP23y52iN2n9gEV2PRejfjdCJAVw6O3/G/cBY+ykcWXkW2aY10qjaCkhg0cTGV57BUOfR+PDxs+1t1psjb4VTFZUyfQFl+gL2sana4wbVVNWzkU6iNw2rL5l4XxJWX5L2f5yaiA4dcWoCcWoC0TYi+fBqgYZTZ8elVIbcrwpAQu47lAryDLsanr/fTulUPX1cowHYbFkSkzLsNK0OBhZNuRAbsM+4ORhY1PHe7zNu1maHGuAcz0bLoiYtR1uS5qkKLAx7m/25Qt/vaAbgNqVIvhMcugq2mn9nkHMio+0n8I3xvy1QstYjwZcKVKWeNXODTjQ9FjnG7eQYt0d1/ubosUDxp5GeVHYtI+zHsibuhw7RaxEILMrbaWAR7YD00O+SQ4OSFXHfMNQxhTRvd4Y6prA27qcmKaNoOAksmlAP12DG2U8GYIFtdpNXojyKi0LDfgrZX+s+iqoQpyZi8dmwqPGYfVYsqg2zasXii8esxgf/V62YfFbMqv9HjwEd+qiDkh2mVXyV+HwTvcr2IdPTF7Nqxa6UNXs+fW1yDcEVSU1qXJOeOzQ9ps7eEEXlT8sCjqo8j5H2Y9loXtRhe8Q6VQUW+frmDyxCNbTHorEi7Z1aEfcNg5wT6ecaS4qnK0WG2r/f2puEqjSophjTUp+GpEJFo6nHWARsN60k15BNhqc3h1eezkLbO83yPK2J9FiEC+39PDQocens/Gb9jKMrLmFC5bnsNK2mXF906ClEC5LAoonoVANTyi9FQcc6y88xa5lVFZVKpSRserbIDvS3bJp9VkyqFbMa5w84fFbManxV8BEX8rj/p7OnF31co0j2ZjR73nhbEphidZdpXcy6Zpu6lyJUecj0kPW1TG+w/ML4ytPp5O1BT/cQdpvWN1u5WrO0QCqUYU+LPm/MAosI0++KDPvZZlpOP9dYJlSe3aEaKRK8VYFFCywA15DB29Folh4L8I/rsn7EmaW3M8wxhc3mpVH3prQ1gcCist0GFtH2WAQbKWoKStZafqK/czxdPf2ZWv4Xvkx8VmYhjCEJLJrISPuxJPsyKNcVs8j6UayLEz0FPLjw6F1UUBzxYSeXXkcf1yiG2qeyyPZB85WvjenlGgYE13Jobyp0wRahmhbIC+XUVbLO8jOjHMdzROWZ7Dau73C9FiZfHIk+/0q6Ld9jEdmMdE0tmvUvllk/oY9rFH1co+jhGsweU/OsSt7atKcei2YLLIC9pk1sNC9ikPMoppX/lQ+S72/Q+iptgU41+DMGaMc9FlE2eoX1WNRwnamKygLbbC4svo/e7uGMs5/CH9YvG11O0TCyQF4TMKgmRttPAGCpdS5unaOeI9qPtRZ/PuMQ5yTMvvgYl6Z1sPgS6OTtAcAe47qYlsWlNM+1GPoHL5IVvVdYv8aNkwxPH/q5xjVLmVqzwJSi5briFl+vIWZjLKKYMKDIkMOflgUATC3/C0Zf5NOctmU2b9UYi3bQY+Fr5oXcFsV/SKVSSpq3G5MqLmjW54qleJ9/hWkvbhwh00a3J9EP3g4ZY1HLdVZkOMBPtrcBOKLyTPo6xzS8gKJRJLBoAoMcE4lTEyjR5bHZvCzWxWlRu43rydfvwaTGMdJ+XKyL0yp0cfcFoEC/D4cutn8Y3DRPYBGaaldfjwWAXVfGSus3AEwuvwizz9os5WqtAoFFia7l0wVjN8YiuhblZdZPKdHlkeRLZ1LFhc1UqtYl2GOR3+zPpW/DPRbgH+j/Y8LrqPgY7pjGEMfkZn2+WAmOryhptz270V4r9a2JE7DRsog1lh8AOL7sCrKcIxtUPtE4Elg0lgojHNMBWB33bdSzHbR5isrv1s8BGOmYjtWXGOMCxV5XT8usrhyJ5lg1NXDe+Qkv8b3ttYhb4JfHfU2hfj/xahITK85rlnK1VoH1RFpyHNJW0x8ArI77rsWeM1S0K3a7dQ5+SHgVFR9DnJMY7JjUTCVrHfzTi6cAUNbAtUKi0ZZToQKyTX+yzPoZAFPKL22XrdKBv6FRj5NsQw4asqPaP7SRor7r7Nf4D9hi+g09Bk4su5pBjqMaUkTRCBJYNFKGpw8p3i64cbLRHJtpRWNtu2kVuYYdmNQ4JlScE+vixFwXd1VgEaPZoEK5mykVCmCr+Tc2WRZHvL9P8bDA9iYAQ5yTGeAY31xFa3WSmnN15Vp8l/Ay7yffp7XgtbSGTEG937iV3+P8udFTyy+jh2tIUxer1bD6ktBjwIunRQbpKs385z50fYHmtDxuHhvNi9Ch54SyKxngOKJFnrelBMZXVOpKY1yS5rMm7geWWOfyQfJ9Ee0f2iteX8qdqvj4LuEVNpuXosfA9PK/Mbn8IvQxGmvWEUlg0UiHOScAsN28okONrQijqCyMfxeAQc6jtIHLHZFeNdDZ0xvwV5Jirbl6LBrqgHErf8TNA+CY8stJ99S+0GN7oqVCRbGScWP5FC/5ht0xS6cob+CA5N+tn7PJvAQdek4uvbbdfp8E0qAqdMXtYlGv5h5joVHgR9sbbDQvRoee48v/jyMrzkZR20d1Jq6qx8KulMe4JM3Hp3hZYf2aPMPuiPaPpscCqoIL26v8VtW7NcIxnQuL76Ore0CDyiui0z4+iTGiqDr6O/0DUTd10N6KgFzjTlZbvgfg2LJ/EO9Njm2BYiTN0x09BiqVUkp1ebEuDvuMW2JdhGp+s35KtnENBkycXnKztnBce5bs7Qy0bI9FrK2zLGS9+Re+SXgxugMV+NE2m2zjGoyYObn0On9aVNuve4cJLoLWvHPu5+n9lbe9huqLrjYlNcoBuY16LkXlR9vrrIj7GoCx9pM5p+RuUjxdWqwMzSXO5++xcHSAhQAjFekYizCKyu/WL/gi8d+U64pJ8Xbh7JI7Obn0OtI83ZqppAIksGiULp6+xKkJ2JVy9hqb90u7LVgSP4c8/S7i1AROKLsqZoNGYynd62+Bz4thS3GoP6xfsMz6Ke8n3xvromhUReXbhJfJNewkTk3gzJLbyKwa8N4eWXzxWFQb0LI9FrHmU7wsSJjNNvMfDTjWw1eJL2jpDMeUX86x5f9oVzPPBWb/ae5c+i8Tn2Gp9RPmJ/6vWZ+npVKhtOdTVJbEz2V+wv9wKpVkevpwYfH9HF1+idbq3xbFVX1X2BUJLALC17GIrmdsl2kt7yXP5E/LAnx46eMaxUXF/+KMklvJco5s9tnSOiIJLBqht2sE4L9wO9yg7Rp4FQ/zE17CqVTS1dOfk0qv6XAf2nRPTwB/Ckor4FU8/GH9kvwWXpStPi6dnc8SnyTXsIM4NYGzSu5gmH1qu2uVhuD4inJdER7FFePStB0+xct3tldZYp2LDy+HOSdwadHDDHIchaK2gqi9kVpqdeUKfTHLrfOwN3POfnOtvF2frebfeTd5JjtMq9BjYLhjGn8pfIwp5ZeS6ukakzI1RqDHoj2PsYhWWCpUA+paTl0FC23v8G7yTLaafseHjx7uwZxSdj1/L/w3U8v+Qk/X0A7ZGNocZIG8RggEFtmm1bEtSCtSbMjhy8RnOL3kFnq5h3F66c18nfBfnDGedrWlBAKLSHNHOzKXzs6nSU8wvezv9HONZUrFpfRxjeJn2zvtqmU/kEtf2gJTirY7isoK69fsN25havllpHm7M738b4yxn8TKuG/YbF7aoEHirYFVW125fcz+E8vGtQp9EV8lPk8310AmVJ5LpqcPwxxTGeaYSq4hm22m39lmXkGpPvbpqfXRxlhIKpSmQalQNSg25DA/8X8keNMY5pjGYY4jiVeTGeo8mqHOo/Hg5oBxK3uMG8gx7OCgIbvjjp1tBAksGsjmTSHN2w0fXnbFeBG01uaAcRtfJT7PSWXX0N09iPOKZ/B9wqvkGLfHumjNSlEVbbxAIK9Z1M2tOPkm4b+MdBzHkRVn0dM9lIuLHmSD5VeWx82jXN+8+ectIcFbtVaBXgKLhjpg3MYHyfcz3HEM4ypPIcWbyTHllzOx4jy2mZaz2bKEA4ZtbWoQdCAVqqKdBBaNqfA1lX2mzcwxPkhXzwBG2KfTxzWKDE9vMjy9mVh5HiW6g+w1bmSPaSO5hh3+YL+VdX4FZoWSwCKoMalQNSnTF7Akfg5LrXPp5h5If+d4ermHkuBLo4d7MD3cgwH/QPEifQ65hp3kG/ZQqN9HoX6/f1xUK7tuWhMJLBqom/swAA4adrX4SrptwR7TBuYkPcwppdeT7Mvg7JK7WGtZwB8t0CUfK8neTIyYceGgpAMN0m00xb/WQrZpDZPLL6KXexjDHFMZ4pjMTtMa1lsWsse4AV8EK3y3RonaImgNmyVJ+PkUL6vjvmO9+ReGOCcz0n4sCb40rbXRrpSzx7iePaYNHDBsp0h/AFpxoNFSqVAtpaXHWNRKgf3GLew3bsHiS6CvczT9XYfTzT2AJF9nkpydGeI8GvDPvJRn2EWeYReF+v0U6XMo1ufg1FXGpuxqMBXKrrTPv5MNEdpjoTbh3wFVUdlr2sRe0yZQIcWbSQ/3ELq6B5DhySLR14lUb1dSvV0hZIJFl2KnUL+fQv0BSvQHKdHnUao7SIn+oH+19A4edEhg0UDd3AMB2CeDtmtVaNjHh8n3M6niQgY5JzLCMZ3Bjkn8GbeAdZaf20S3dDRSvf583kLD/jbVctpaFOtz+SLp33R19+fwyjPo4R5EX9do+rpG41QqyTb9yS7jWg4Yt7bKlsbaBHosSiWwaBJunYPVcd+xxvI93dwDGeg8kr6uMcSpNga4xjPA5V8fxalUctCQTb5+L0UGfyWgSL8fRytJy7S20ODtltISC+RFy6ErY33cQtbHLcTos9DNM4DurkF09Qykk6c7caqNnu4h9HSHr5dSqZRQpM+hRH+QMn0BpboCynQFlOkLKNcVNlsjh0mNQ19VLZMei6DQ37evuQJYBYoMORQZcvgz7kfAn5aW4ckiw92bVG83Ur1dSfJ2xqTGkenpS6an+qQjTqWSEl0eJfqDlOrzKdcVUq4rpEzv/9+ulLWZv10NJYFFAwUDi80xLknr5tRV8kPCa2wyL+bIynPI9PRhjP1ERtuPZ49xI9tNK9hpWkNFO0h5CQQWRfr9MS5J27bfuJXPkp4gxdOVoY6j6e8cR7yazEDnEQx0+hfDKtcVkWPYToFhLwX6fRTq91GsP9gqJ1EIjLEo00tg0ZRCWxsXqG+S6elDT9dQurkH0tnTG7NqDUtrCLArZVolsUxXSJk+339fV0iFrhi7rqzZe8d0qh6r6s+lby89Fn/GLWCAazx7jBtiXZQauXUOsk1/km36EwCdaiDN243Ont6ke3qS7M0kxZuJzZeCVU3C6kmim2dgtfOo+KjQFVNWVWGs0JVQoSumsup//08Jzga0XAfSoFyKo82OHWoOoelPSgvWyu26UrJNa8g2rdG26VQ9Sd4M0rxdSfF2IdGbTpI3nSRfOjZfKmbVSmdvLzp7a16jyYPbH2zoCynXFWnXkf9+MZW6YuxKWZtunJTAogHivckk+zLw4WO/IfaLoLUFe02bmGN8kN6uEQx3HEMv91CtpWhqBeTr95Jj2E6OcTu5hh0U63PbXOpLitc/h3qh/kCMS9I+FBn286vtfX6N/4AMTxZ9XaPp6h5AZ09vbL4U+rnG0s81Vtvfh1erKIa2MNp1pVQqpVToSrDrSlv8utICC11hiz5vR6IqPg4Yt3HA6F/tXlF1WqUx1eNPZUjxdiHR14k4NYE4bwKdvb1rPZ9dKaNCV0Jl1U/gtl0pxa4rx6GU49CVY1fK/avbR1uBrBqg68XTbhZCO2DcyuspN7eZ2Yx8ikdLgwpl9FlI8WaS7M0kyZdOgjeNBF8qCb5OJHhTMWDC5kvF5kut8/we3GEBR6WuBLuuDLtSRqWuVLtt15VVpc+okgZVC0/IQq+hq3DHgk/xUmTYT5GhegOiXjWGBBqdtWvH5kslwZuKVU3EgJFkXwbJvozanwMvlbrSqqC1iEpdCXuMG9hmXt6cL63JSGDRAIHurwL9HpkxIBoKZJvXkG1eQ6I3nX7OsWS5RtLF05dO3u508nZnaFXuqw8vJfo8ivQHKNbnUq4rokJXRIWuuOp2Cb5W1qITmNqwSAKLpqWo5Bp3kGvcAYBBNdHZ05sMdxap3m7+liNPV0xYSPL5W47q4lDK/X/YlTIcunIcSiVOXTlOpRKHUoFTV+HfplTg0FXgVCpxKZUNakEy+eIwq1ZABm+3JFXxkW/YU22aZaNqJtHrrywm+tJI8KWR4O1Egi8Nmy8Vqy8BHXot+MBb/+KNXjw4lPKwgCMQdDgC25QKXLrKquuqUrtG7brSVj0OJFoV+uJYF6HR3DoHB3XZHDRmV39QhTg1kQRvatU1k0K8L5l4XzJWXxLxviSsvmTiVBsGjBF9H4H/751DKdd6KSQNKpxHcfG97VUUdK16TKtXcdcadIC/t8PmS/EHpt7UsKDD5kvB6kvGqvq/g/z7pQC9/efGI4FFbUwmE488/BCnnHIyiqLw6Wefcc89M/F4WlclsS4ZniwAcqoqOiJ6pfo8Vlq/YaX1Gyy+BLq6+5Hp6UuGuw+dvb0xqf5WoxRvZq3ncCkOHEq5VgEMVAr9FUE7LsWJW3FU/fhvV9uGq0n+sCuqopW1sJYvFdE0PIpLG5ypURXifcn+yqI3jURfJxK8naq+rBOxqknE+RLQY8Ci2rB4bVE9p4oPt+Ksuq4cVT927b77kPuBx7UZXpQyWcOiFXArTn/6nGFvzTuoChbVRrwvEasvSfuJ9yVhVf3bAgseWnw2jJjRYyBeTSbemxx1edrLjFAdhkJVr1UpB8mudTe9aqi6bpKrfpKI8yVhVROI8yUQ50v0B6++BCxqPDr0WNUkbR0faZyqbpNlSayL0Gg+xUupPp9SfT4Ya95HUXVYfYnBYFX1Xz+5hp0tW9hGaPHAYuaMexgwoD9HT5mGqvr473/+w9133ckD/3qwpYvSYIHA4qAhO7YFaSccujJ2mFexw7zKv0H1z5iS4u1CijeTJG/nqpYhf+uQzZeMHiMm1YJJtQCdaMxMh26ceBQXHsWNBxdexV1134UHt/aYl6p9Dt2uuNCrRgyY8OCW9QpiQVGp0BdRoS/S0mGqURUsqtX/B96XiFVNxOyzYlHjMavxmH3x/tth26yYsKCgw6TGYVLjGlQ8mRGqjVBUHEoZDl0ZBeyrd3eDaqoKNBKI89m0gCOu6n+L9r8Vk3ZdWdHhXzh0r3Fjc78iEQNexeMfwxPBuCqdqvcHG1WBhlG1yHXRgamKjwp9cZvu/WvRwEJRFC655GLOO/8CcnJyAJh1773M+/ILHnzoYXy+1jfw8lCKqtDZ0xuAXIP0WDQLBe2DtZcavmBVtIqfxRf8P7jNhlG1YFLNGFUzRtXi/x9L2HalauF5I/77TTHZRLE+p1UOIBZUVRr9vVtFRN6rpFP1mNV4LZA1+fwBhjFwX42r9r8x5L5eNbIu7ufme10iZjyKi3K9i3KimHxC9X/nGFSTpLwIfIrX//eO4lgXRYgm0aKBRZ+sLKxWK6tXB0fYr1+/AYPBwMCBA9m4MbwSaTKZMJmCS6zbbNGlLzSHC4rvw6TG4cJBocz+ExsK/goiFZToG3gOFQyYtMDDoBoxqCYMGNGrJv99TP5tVY/pMWr3Q2/79zOiQ88ay49N+lJF7PkUrz/9ARlQKZqA4u8ldYcMSBVCiPaiRQOLlNRUKioqcLvDR/UXFxeTnp5eLbC48Ybruf3221qyiPUyqP5AZ59xU5ueDqzDU8CDP93JjrQaCiGEEEI0VosGFqpac0VcURS8NQzefubZ5/jvi//T7ttsNtatXVNtv5b0Y8IbGFQjBwzbY1oOIYQQQgghWpMWDSwKCvKJj4/HaDRqvRaKopCUlMTBvOqrMLtcLlyu1jWTSthMNEIIIYQQQgiAqtGrLSQ7exdFRUWMGDFC2zZ06BAAdu/e3ZJFEUIIIYQQQjShFg0sAN54Yzb3zppBZmYmnTunc9+99zJnzlycThnIJoQQQgghRFvV4oHFk089zZ9r17Hw5wX8tmwpOTk5zJw1q6WLIYQQQogm0iu1FxOzJsS6GKIdshqtTO47GZPeVP/OIuaUtE6d28zURjabjeyd2+md1Zfy8vJYF0cIIYQQwPJb/gDgL+/+lfU562NcGtGePHvmM0zsM5EPVn7Akz89FeviiHq0eI+FEEIIIdqnAekDYl0E0c5M7DMRgDOHnxnjkohISGAhhBBCiCbhVatPHS9EU/D6vLEugoiABBZCCCGEaBIerwQWonlIYNE2SGAhhBBCtFPJcclYjdZmfQ6zwazd9qq+Zn0u0fYZ9UZS4lKiPs7jk6C1LZDAQgghhGiHbGYbP1z9PfOv/KZZn8disGi3pVVZ1Oe9S9/l+6u/IyMhI6rj5NpqGySwEEII0eRGdBvB34/4O3pFH+uidFgDOw8EwGpq3h4LizEYWOh1Uq0QdctKywJgQu/opif2qBJYtAWGWBdACCFE+/PaBa8CkFuWy7z182Jcmo7JEpKipNfpm63FNzSwMOiMzfIcov1xeV1R7e+VVKg2QZoWhGjH0m3p9E/vH+tiiBgY03003ZO7x7oYdE3qGusidFgmfTCwMIfcbmqhqVBGvQQWonah43GiDyykx6ItkB4LIdqxb674GoDTXjmd/aX7Y1wa0VIGdh7AS+e/BMDYp8bFtCxOjzOmz9+RmQymsNuV7spmeZ44Y5x2WwILUZcEc4J22xdloCCBRdsgPRZCtFM6Jfjx7pfeL4YlES1tVLfRMX3+0FZJh9sRw5J0bDZTvHY79D2pz/he40m3pUe8f1iPhU7aK9uDeFM8Azs3/WKHoYGFUW+qY8/qZFaotkECCyHaqdDp/CpdTdtS2SO5BzdPuTmqyodoOTazLabPn2RJ0m5LK2PshF4HkfYkTMyayH/OeYH3Ln034ucJHWMhPRbtw6sXvMK7l77LuJ7193ga9UaGZA4Ja8yqTeg1aTLUf62YQoIP+S5pGySwEKKd6mRL02439R/71y58lYvGXMhd0+9q0vOKphFvDrZUKygt/vyJlkTtttkQXaukaDq2kNbhSMdYHH/Y8QCkWCNfZyC0x8IQ5XdNl8QuUe0vGq57cneGdRkW0b6BsXlT+0+td9+7p9/NmxfP5vxR59e7b2iPhSmCazI0zU7WSGkbJLAQop1Ks3bSbof+4W8KqdZUAA6rms5StC42U7BVMJoUmIAx3Ufz9iVvMbTL0AY9f1JcsMeiIc8vmkZCWOtwZAFeWnxq1M8TWvkzRRFYnDX8TL785xf8ZdxlUT+niN5nf/+UNy56vd71Iwwh6WyFFYX1nvfUoacAcOnYS+rdN8ES+t1U/zUZ2hvW8k0koiEksBCinQrtsQj9cm5KB8sPNst5ReOEVigb8t6/dP5LDMoY1OAeqeSQVKhIWiVF8wjtOYo0sGjIisipIb0b0fSO3n3s3QBcN/m6qJ9TRKdrYnB2tszEzLr3DZnJze62R/wcOWU59e6TYA65JiMYYxFoxAJJs2srJLAQop3qnx4ceNeUPRad4oM9IfkV+U12XtF0+nbqq91uzHtv0DVscbuhXYPpFmajBBaxMqLbCO12pKlQDUlNGttzrHa7IetYNPUYMFHd4MzB2m1jPe9RYAE7CO+NqkloIHqwrP6GppEh16Qpgt7Mw0PGeEQSiIjYk8BCiHYoJS6FkwadqN1vyh6L0O5unayq3OqM7zU+rGIQ7Xs/tV8wp3p30e6onz/JkhR27UkqVGxM6D0hLOUlkh6LMT3GkGAJnbWn/iChV0ovRnUbFdUxAEf0OkK7vatoV0THiIY7behp2u3QMVg1OXv42dptq6nuwOKs4WdqtxWl7mSlNGsak/pO0u7XlwplMVjCym3Qy4xjbYEEFkK0IwoKE7Mm8tqFr4bluVuaoHLXJbELM4+bwcVjL9a2xZusjT6vaDrHDTyWx097LGxbpD0WOkXHqUNO5f4T79O2maPs7RiSOZjXLnyVtPhgGp5ZWhlb3FF9juLhUx4K21bf+zC2x1gePeWRsG1WY92f78EZg3n2rGfDKnzGCCp/k/tO5qGTH9Tux2KCgf9n77zj2yjvP/6+07Yl7xXbiR07e+9AAgES9iqbsLoLbX+FbmjLLKUUCmXTllXaUvZeYYeZELL3Ht57y7L23e8PDUseiS3JQ87zfiUvyXen5x7pHp2ez/NdRwsaScOvTvwli8YeG9wWmoY4FJ1Gx89P+HnYsabDjIGzppzJj479UfDvhMP8HozPHM9DFz5IYsi5D2eByEvO4+8XP0pBWkFn/0RV97hAyD+BIM4x6UzMypvFvNFzOXniyeQl5wFQY63lUONBji08NiKLhUFrYEr2FGbnz+KYwmOYk99ZG2Fr1VZm5M44oplcMPAkG5M5ddKpnDvtHCZnTwZgfdl6RqeOJtuSfcRrn2RM4uwpZ3HBzAsoTCsM23eklU3wpY9cNmEZZ04+k7mjfWOkxlrL2tJvOHfaucJiMYgsKlzED475ftAFamPFRjSShpl5M3t1O5mcPZmrj/1RcCV5Z83OoNuMUWek1dHa7TUFqQX84JgfcNqkU9HIGipaKvjiwBdcPvfyw07+jik4hm/P/zYLCsJTmCb2MtEVRMf8MfP5+ZLrmJQ9KWx7Qg+f97zR8/jdyTcE7wFVrVXkJudi6uH+MTZtLNcv+20wFW2Hq4MEfUKP7ZoNZn6y+MdcNPMiNLKGFnsLX5es4YzJp/c4Ji0GC98/5vtcOusS9Fo9rfZWHvriIW4+7WYRYxEnCGEhCMOgNWAxWDAbzCTqEzEbzJj1iSQaEknUmzH7H337/M8NiZj1ZryKh2Z7M3XWeg42HuBg40F21+6hsaNxqN/WiMKgNTAzdybzRs9l7ph5TM2eErZi2O5s5/Vtb/DUmqf47oLv+oRFH1aeLQYLM/NmMitvFrPzZjE5e3KY+4SiKqwrW8fjqx9HljQ8sfzxw65QCQYOjazhuLGLOWvq2RxfdFzwB9futvPM+v/x1Jqn+O8V//EJix6uvVbWsrhoMWdNPpPjio4LXmerw8rTa59mT91eHr3okbDsUqEYtAYWFS7itEmncnzx8UHx4FW8rNj5Hg9/+TAnjTtRCItBQEJiybgl/GDh94OCwOlx8uqW13jky0e46xyfFaJrtqZJWZO4etHVLPELCq/i5Y1tb3DfZ/fz7tXvkGJK6WaxmJg1ke8s+A7Lxi9F44+/eX/X+9z9yV85c8qZQHdXKK2s5bRJp3LF3CuY4C+45va6eW7Dc3y89xOeufK/fRKwgr5TnF7MdUuuZXHRYsD3vf7Th39i8djFfGv6t8KEXFpCGr844RecOcXnvthga+TelfeSYkrhdyffEDYGEnQJ/PDYH3D5nMvRarQ43A6e/uZpdtTs5JGLHiYhZKFJQuKcaWfzs+N/FgzA/mjPRzzw+YOcMvEUn7AIGStaWcuFMy/kR8f+kBRTCgBrStbw15X3oPjTzAphER8IYTFCkSWZFFMK6YnppCWkkWpKJdmURJIxCYshiSSjhSRjMklGCxZDEsnGJCxGy4BMAkqbStlQsZFNFZtYX76e+vb6mJ9jJKORNEzOmczCMQtYULCA6aOmd/OXrmytZEP5BtaUrOHzA1/g9DiBzqrHPa1apyWkMSd/DrPzZzE7bzbjMsd1K3BU317PpsrNbK7YxGf7Pw9mgQpUZO3NVSI9MZ0JmRNIS0jDqDPicNtpd7ZT3VZDaXNpsH+C/lGcXsy3pp/LGZPPCKszsLt2N+/uXMF7u96jxd4C9Hztx2eO54IZF3DKxJODP96B17+29TXe3/UBHe4OJmX5Vji71sNYULCAMyefwQnjTggrdHWg4QArdq7g/d0fUGut9Z3ff41DVyUlJArSCpiYNYH0hHSMOiM2Vwet9laq2qo40HAAm8sWo09rZCMhsWzCMn5wzPeDNQfsbjuvbHmV/63/H40234KOs8t1KEwr5GfH/x8njjsR8AmK93a9x1Nr/kV5S3mwnRRTStAiOTN3Bj889occW9jpIvP5/s95/Osn2FO3BwCP1w101rEw6UxcMutiLp19KVmWLMC3sv3Gtjd5bsNz1FhrgjEgwmIRG9IS0vjJ4p9w7rRz0MgaPF4PL295hSfXPEmrvZVZ/liYwOd97rRz+OUJv8RitKCoCq9sfoW/r/oH7c52zvILRZM/xuK4ouP4/cm/C16zz/Z/xn2f3k9VWxVTc6YCna5QRelF3HjqjczMnQHAwcaD3LPyXtaVrQPA1WVMLixYwPVLrw+6PR1oOMiDnz/I6pLVAMFzakVV97hAXKU4RCtrybZkMypplP9/DjlJo8i2ZJGWkEZaQhopppTgilJ/8Sge2p3t2Fw2bE4b7a52bE4bNpetc3vI83b/cRpZQ1pCGrlJoyjKKGJcxjjGpo+lIK2AgrSCYJBXSVMJa0vXsrZsHRvKN2B1WmP58YwIko3JLClewpLi45k3el5YQCX4XE02lK1nffkG1pevp7qtusd2HB7/5NK/aj0uYxwnFC9hSfESpo6a2u340qZSNlVuYnPlFjZVbKKytbLHdjtcvhSEgR8Sk87E/DHzObbwWI4tPJb8lLzDvr/qtmp21uxka9U2tlZtZXfdbtz+iYkgHL1Gz+mTT+OCGReE1ZVosDXy3q73eGfHOxxoONDtdYFrb9KZWFK8hMvmLA+rolvfXs97u95nxc4V7G/YH/bawOTerE8kQZfAOdPO4ZJZF4f5O1e3VfPRno/4YPcH7Knb2+38Lq8L8MX3pCWkce60czlv+nlHHBtVrVVsq97GxvKNrK/YQGmTCOwNRULipPEncvWxVzMucxzgs1K+uOlFntv4PK32cNcll8d3HTIS0/n9yb/jvOnnoZE1eBUv7+96n6e++Ve3IP3A97s4o5ir5l/JKRNPAXy/DR/u/oj/rvtvtzHjVnzfX6PWyPnTz+eaxdeQ4Y+1qW+v54VNL/L61tdpc7QFX9PubAd8FjCzwczsvNnMyJ1BXnIuiQYzLo8Tq9NKrbWOAw0HONBwgNLm0uAKtsCHRtZwyaxLuGbR1UHB//Gej3nkq0epaKkIHhf4Xhelj+WhCx4KxlLsrNnJXz6+i121u4LHBsZAljmLP55+G2dNPQuAipYK7ll5L6sOrQo51pfVK8mQxA+P+SE/OOb76DQ6bC4bj69+ghc3vYhH8QSPd/rvDVnmTG4/449Ba1ejrZHHVj/Gm9vewqt2Vtn2eH2vFRaL+EAIi2GMVtZSnFFMcXoRheljKUofy9i0seSn5PdJNCiqQou9hSZbE00dzbQ6WrA6rLQ62rA622hzWGlztPof22hztGF1WmO6YmgxWJiVN4s5o+cwJ38Ok7ImUphWSGFaIZfMvgSv4mV37W7Wlq1jbdlatlZtPWpXsy0GC8smLOPkCcuYN2Ze2OpMq72V9eXrg4IssLJ4JAKr1tNzp/Pid14IS0MKsKduL5v81qTNlVv67LbW4fb9kCToE7jz7DtZUnR82Mq4V/FS1lxGdVsNDo8Dk85IkiGJvJQ8UkwpQVG8bMIywDf52VGzg00Vm9hYsYmtVVuD5zhaMRvMXDjzQi6bvZwMsy/Fr8fr4YsDX/Dm9rdYU7Im7Me3K4Fr/9ulvwnWM/AoHlbu+5Q3t73BurL1vU7QAhM+s8HMmz98I2gdaXe2s2LnCt7b9T7bq7ejovZ6/sD3eGLWRN764ZvB8eFwO9hTv5fq1iqcHicmfQIpxhQK0saQbckmNzmX3OTcYAXoBlsj6/33h29K1wYtIkcjU3OmcP3S64OLAlaHlec2PsfzG18IXrOuuPyC/QfH/CC47dN9n/LIV4/2Ktoc/toFt55+C+D7Pr+1/W2e/uZpqtqqenyN2z/5WzT22OCEtby5nCfXPMUHuz8Im1gGCK2R8NnPPu39jYfQ7mxnc+VmNlVsYkPFRnbV7sKr9P49GOmMyxjH7Wf8MehmtrNmJ/d++je2Vm3tdmzgt/2EcScAvu/iP1b9k+c3Pt/tXhC4NsUZxRRnFONVvDy74TkeW/1Yt9/owL3aYrTw48XXAPDFgS/4y8d39eih4PaL3Vl5s5iVNwtFVXhp00v8Y9U/e5x/BESrRtZw4cwLSUtIxaA1YnO20+a0UtFSwaHGQ6Ku0jBBCIthRLYlm1l5s5g2ahpTc6YwMWtir65JTo+TmrYaqtqqqG6roaatmlprLQ22Rpo6mmiyNdFibznsxGMwsDqtfHnwS748+CXgmzzPHT2XBWPms6BgAYVphUwdNZWpo6byvYXfxelxsqVyK2vL1rKubC27aneP+NWpWXmzOH/6eSybsCxscr6nbi8r963k60Nfs7suss8hsGo9JnWM72+3g29Kv+GLg1/y1cGvgu4S/SWwQiVLMqf6VzMrWipYfWg1q0u+ZkP5hl4LKyUbkynOKGb6qGlMz53OjNwZpCWkMTt/NrPzZ/N9fBPgPbV72Fi5yS96NoetdI5kdBodl81ZzvcXfj+4+lhjreXFjS/wzo53abY396mdwLVPMiZhc9l4ZfMrvLT55T5NzEN/3FMTUiltKuW5jc+zYueKPhfMcvrPH3gPO6p38PKWV/hoz0e9Lh5YDBYmZE1gTv5s5uTPYUbuDDIS0zl98umcPvl0wGdVW1u2jrWla1lfvv6osHgmG5P52fE/41vTz0WWZNqd7Ty38Xme2/Bcr4IigMvb+VmXNJVwx4d/ZnPl5sO+JlQwbijfyL2f3su++n2HfU2oxbHN0cZjqx/n1S2v9igoAnS9p1W1VrG2bC0HGg5idVoxaPQkGX0LEsXpvgmu2WDmuKLjOK7oOMA3VjdVbGJd2TrWla1nX/2+wwrekYKExBXzruCni3+CXqunxd7CI18+ylvb3+r1t8Lm7Pxe76nbyx/e+UOvqX7tIQs7NW01/O6d37O9enuPx4bWIXF6nNz+wZ/4YPcHvfY9YLEAX0rrm1fcwo6aHb0eHzq2fn/y73o9zuqwsr1mO1sqt7Klagvbq7f3q8CfIDZI6RlZcfMNNJvNlBw6QOHYYtrbD38zjQdMOhPzRs/jmMKFLCxY2C0jC0CLvYUDDQc42HiIkqZD/scSGtobRsTNM8ucxfwx81gwZgHzx8wP+uIGaHe2s7NmFztqdgT/j4QYDY2s4bSJp3LV/KuC/tEA++v3897u91m5d2WfrRKHY2zaWJ5c/gQVrZW8te1N3t/9QcwsUk8tf5K85Dw+3PMh7+5cEfS1joQxqWOYnTcrKC4Cma1C2Ve/L2jR2FS5KWJRNJxZVLiIX5/0q6DL0f76/fx33X/5YM+H/V6VPXfaOfz6pF/z7o53eXLNUzR1NPXr9f+4+O/kJefxr2+e5u3tb/d7kSItIY1nr/oftdZaHlv9OF+XfN2v14PPDWz6qGnMH7OA+QXzmZozJcySp6gKu2p3+y15a9lSuSXogjVSWFiwgNtOv41McyYAb29/h0e+fKTP1sUTx53Ibaffylvb3+LRr/7eJ4vwVfOu5HsLv8cTXz/JCxtf6NNvTV5yHv+67Cl21uzkzo//0uf79J1n38mM3Bk8/MXDfLj7w8OeS5ZkxmeOZ07+HOb47xWhsULg+81cX7beJzTK10dUi2W4YzFYuPPsPwdjXr448AV/+uCOIy46FKUX8filj7Hq4Cru/Pgvhx0LifpEnv/2c5S3lHPziluOeP944tLHsRgs3PjuTRxo7O6aGcqopFE8ffnTbKnczJ8+vOOI4hjgoQseYtqoqWyv3kFNWzUOj5NEfQIpphQK0grIT8nvFoPhUTzsrt3NxoqNbPQvUPXlXILoEMJikEnQJXB88XEsm3Ayi7qkAQ18CbZVb2dH9Q6212wP8488GihIK2DBmAUsGDO/x9gC8Pnr7qnbw4GGA+z3+92WNJXExYTCqDVy3vTzuGLe5cEKt3a3nQ93f8hrW18/7KrN0US2JZvZebODk4fQgm8BAvEg26q2saduLwcaD8RtnEZ+Sj6/OvFXwQw9DbZGHv7iIVbsfG9ELCDEikR9YpjFsyi9KGy/w+1gS9VW1pWtY1vVVnbW7orbFUudRsf/Hfd/XOmvG3Oo8RB3fHgHW3pwcTlakZAYnzme+WPmMX/MfGbnz+4WCF5jrWW935qxrmxd3LvLjE0by9/Ou5cxqWOwu+3c++nfeHPbm0PdrSHH5zpexMzcmczMm8nM3JnkJOWEHaOoCnvr9rKxYhMbKzayqXJTt5gkQfQIYTEISEjMHzOf82acxwnFS8LcmypaKvm65GvWlK5hfdl6kRElBFmSKUov8rlK5fj+F2cU9ZgZwqt4KW8pp6SphIqWSipaKihvKaeipYIaa82Q++Amm5K5dNYlXDL7kuAKW4OtkRc2vsArW14RqyhHINWU6ste5V+pHJ85vlsGK4/Xw6GmQ+yp28Peur3sa9hPaVPpsJ5ImHQmvrfwe1w59wr0Wj0er4fnNj7PU2ueEveCPpBpzmT+6HksKFjAgjELulk8vYqXg40H2VGzg+3VO9hVu4tDjYeG/SJEUXoRd5z5p6Df/MubX+GBzx84auPP+opG1jA1ZyrzR/uExozcGd0y6JU2lbKxYhM7a3ays3YH+xsODPnvQ185vuh4/nTm7ZgNZipbK/n1G7/pFkQv6CTbks3c/DnB343Q5BMBDjQcCGat3Fi+UaTHjwFCWAwg6YnpnDv1HL41/Vvkp+QHt5c2lfLx3o/5ZO9K9tZ3z6Yi6B2j1sjE7ImMyxjnD2wvZlxGcViV6a54FA81bTXUWmuptdZR315HXXs9ddY66tp9/5s6mgbkxyXbks2V867kvOnfCqZuLG8u55n1z/DOjneH/QRnuGI2mJmZO5M5+bOZnD2FCVnju7lEBOhwdVDWXEZJUwmlzaXBoPKathoabA1DFsNz2qRTuW7JdcFUil+XfM29n/5NZEGKgsK0QhaMmc/c0XOZOmoaOf7PNpTAIsT++v0caDzA/npfzZ2qtqphYfG6ZNbFXLfkOow6I00dTfzpgzuCMWqC/mHQGpiRO4P5Y+Yzf/Q8puRM6Zb4xOF2sLd+LztrdrKvYT8HGw5ysPHgsBP231vwXX5y3E+QJZn1Zeu54Z3fidX2fpKRmMFsf/zWnPw5FGcUdTumtKmUHTU72F27mz11e9hTv1cs/PUTISxijCzJHFNwDBfMPJ/jio4Lrq5bHVbe2/0+b257o8fUjILoSE9MZ1zGOMakjmF0Sj75KfnkJeeTl5zb56rTbY42WuwtNNtbaLW3+J53NAe3WR1ttDvbaXe10+70pdttd7Z38z1PNiazoGABZ085i2MKjwn+kO2q3cV/1v6XlftWjviA9KEg25LNxKyJTMicwMSsCRSlF5GXknfY3Ocer4caay01bdXUWGuobquh0dZIo62Rpo5GGjuaaLQ1xtSdZmbuDK5bcl2wOnJFSyX3f3Yfnx/4ImbnEPjISMxg6qipTMuZxrRRUxmf2bsAVVSFWmut39pZQWVLBRUtFVS31QQXHwbye5tpzuTW027hmMJjAFh1aDW3v3+7WEGNIYn6RObkz2F67nSm5kxhcvbkYMa0rtS01XCg0ScyyprKqGytpLK1ctAt4CadiVtPu4WTJ54MwEubXuJvn90XN1aW4UyKKYXZeT5327mj5/RoCQdfYpI9dXvY37CfkqZSSppKKGsuExbEXhDCIkZkmjP9edq/FfSdB9hcuZnXt77Bx3s/FoNwCJCQyDBnkJ+cT5YliyxzJpnmLLItWWSaM8kyZ5Fhzoiq8I7dbcfq8KXpNeqMYdcfYG3pOv699t+sLVsb7dsR9BOtrCUvJY/CVF8tlcK0QvKS8xmVlEOWJavP193uttNoa6KpoxGrw0qbszNVs9XR5v/bn7LZPxYcHgcOtwOnx0mCPoEFYxZw/ozzg6k4A1Vrn1n/P2G5GkQCixABq+e4jGIK0wqPWEXeo3hotDVS315PXXs99e11NLQ30OxfhPAtQPgWItrsbX2OjfFVHL6AaxZdQ5IxCYfbwcNfPsyLm16KxdsVHAYJifyUfKbkTGFK9mSKMoooTi/u5lIXis8CXktlayVVrVXUtddS395AfXs9DbZ66tsbaO5ojklsVFF6EXee9WfGZY7D7XXz10/u4fVtr0fdrqBnfJbwGUzKnszErIlMyppIbnJur8dXtVZR0lRKRUs5VW3VVLdVU9NWTVVrdZ+z941EhLCIEL1GT1F6EXPyZ3Pi+BOZlTcrqHRb7a28u/NdXt/6BoeaDg1pPwVHRpZkLEYLKaYUUk2ppJhS/M/9jwmppJhSsRjMmEP+B1ybeuJQ4yFW7lvJuztXjMisJCMBjaQhw5xBTlIOoyy+QpPZlmxftfrEdNIT0klPTDvsdY4Ej+LhrW1v8fjXT9Bga4hp24LISUtIIz8ln9Ep+eSl5JOf7HueZckiIzGjXwVHvYqXNkcbrY5WrA4r1qClM/DfSofLTm7yKJaOXxoMMt1Rs5Nb3rtFuMMNMRaDhaL0sRSlF1OUUUR+ch55KXnkJef1mgI+FI/XQ0NHI80dTbTaW2mxt9DqaA177hOjrSFW8PagFSItIY3lc5Zz1bwr0Wl01LfXc/1bN7CtettAv3VBF5KMSUzInMCk7EmMTSsMLlD1ZvkM4HA7qLHWUGetp7GjkSZbI40dPmt4Q9Aq3kSro3XEWZ+EsOgn/7vyGQrTCnt0r9lUsYnXtr7OJ3s/ESuQRwEaWeMTGXq/2NAn4vS6KG8up9UhfF9HCiadifTEdNIT0khNSCPJaMFiSPI9GpNIMnQ+JhmTSDImYdKZut0jKlsr+XD3R7y5/c2jLttbvCNLMmkJaWSZs8i0+CydWeYs0hPTSDGlkByyENGba83haLA18sTqx3lj25tDXntI0DsSEumJ6eSl5JGfnEduci6ZiZlkmDPJMvse0xJSe3Sn6QsOtwOHxxE2af18/+fc+fFfRmR67Xgm2ZQcLPabl5zHqKRR5CaNIicph0xzZr/GgM1l6yxeHLSAd1rE21029tbvZUvllgF8R7FDCIt+8tJ3XwymOGy1t7KjZierD63m0/2fHtUVYQUCQTgSEnqtHqPOiKqqR02Bv6MdjawhxZjit3wm+y2cljBrp8VgJkGfSHNHExsrNvHVwa+Eq+wIQSNrSE9IJ9OcGRwDycZkvwDt/txitPRoFd1WtY3/rPsvn+3/bPDfhCAqtLKWbEs2o5JGkZ6YTkZiun9xKp20xDS/NTyd1H6I0Jc2v8xfP/nrAPc8Nghh0U9Gp4zGo3hod7YfFRVfBQKBQCAQDBwaWYNZbyZRn0iCPoFaa62YXxwFyJKM2WD2WboNSX6Lt4UkY3LYY6I+kdWHVvPm9reGust9IvKI1SHEbDYP2bmbPf6AHB2YdUPXD4FAIBAIBCMDL17aFF8CCDG/OHpQUGjxtNDiaYEjZDgeyrlvgL4s6seVsAh8qNu3xYefmUAgEAgEAoFAMBLoi8dQXLlCAeTk5AxpRiiz2cz2bVuYNn3mkGemEvQfcf3iF3Ht4htx/eIbcf3iF3Ht4pvhdP1GnMUCoKamZqi7APg+3KG+wILIEdcvfhHXLr4R1y++EdcvfhHXLr6Jl+sXWU40gUAgEAgEAoFAIAhBCAuBQCAQCAQCgUAQNUJY9BOXy8Vf/3oPLpcogBePiOsXv4hrF9+I6xffiOsXv4hrF9/E2/WLu+BtgUAgEAgEAoFAMPwQFguBQCAQCAQCgUAQNUJYCAQCgUAgEAgEgqgRwkIgEAgEAoFAIBBEjRAWAoFAIBAIBAKBIGqEsBAIBAKBQCAQCARRI4SFQCAQCAQCgUAgiBohLAQCgUAgEAgEAkHUCGEhEAgEAoFAIBAIokYIC4FAIBAIBAKBQBA1QlgIBAKBQCAQCASCqBHCQiAQCAQCgUAgEESNEBYCgUAgEAgEAoEgaoSwEAgEAoFAIBAIBFEjhIVAIGD58ktpqK9Fo9H0uP+dd97i4YcfDP49evRoGuprWbJkSY/H//73v2PjhnUD0teRzOzZs6muqgj7rEcCGzeso6G+losvurDXY7733e/QUF8b03ETGKejR4+OWZvDlcLCArZv28LChQuGuitRMXZsIQ31tSxetKhfr3vzjdf4x98fHaBeCQSCviKEhUAgEAwDEhIS+Oc/HqWuri4m7c2eNYt33nkrotdmZmayedOGmPQjQGtrK8uXL+91/2WXXUZVVVVMz3k00dLSyt69+2htbRvqrggEgqMYISwEAoFgGHD7H2+jvLyCL778MibtnXbaqRG/9pRTTkaWY/vz8PY773LccYvJzc3ttm/ixIlMmjSRN9+MTAgJoKWlhQsuvIjdu3cPdVcEAsFRjBAWAoFgSHjzjdf46U9+zEUXXsjnn31KWekh1q39hl/84ufdjp06dQovvvg8hw7uZ8/unTz44ANYLJbg/sWLFtFQX8vYsYVhr+vJraKhvpZZM2dy3XXXsmnjeirKS8nKygQgNTWVv917D9u3baG8rIQvPv+Mb191VViby5dfyheff0ZxURHP/Pc/7N+3h107d/Cvfz3Z46S5L5xyysmce+45XHtd9/feG5MnT+a5Z//Hnt07KSk5yJdffM6vf/VLAJ5++il+85tfc8zChTTU19JQX8sZZ5wB+CbxDz/8IGu/+ZryshLWrl3Dz/7vp8F277jjT9z3t3vJzc0Nvvaaa64O7j/77LNY+clHlJUeYuOGdfz859f1qb/ffPMNpWVlLF9+abd9V1x+GStWvIfVau227+STl/H8c/9j65ZNlJQc5JOPP+Tkk5eFHbNxwzrOPvssLrtsOd+sWU1lRRmzZ8/usR9nnHEG5WUlnHrKKcFtU6dO4dn/PcO+vbspOXSAN994jUWLjg3u//TTT3jkkYe6tXXWWWdSV1vNmDFjejyXLMtcd921rPl6FRXlpWzauJ5bb7kZo9EYPCbgrjV2bCEP3H8fO7Zvpaz0EC+99AITJkwIa++qK68Mfld27dzB66+9yrHHHgP0PtbnzJnD7353A5s2rqe05BArV37MGaef3mN/AwTG+NSpU3j9tVcpKTnItq2b+c2vf4VGo+GG63/Lls0bKS05xPvvrWDu3Ln9ft8A2dlZPP7YPzmwfy/79u7m30//i+zs7B4/x1/+8hesX7eW8rISPv30kyO+B4FAMDQIYSEQCIaM73//+1x55RXcdPMtnHLq6fzv2We56cY/cNllnS4zY8cW8u47b9PS3MIFF1zEt7/zXaZMnsR///PviM/7xz/eyoL58/nxT37KqaedQV1dPUajkbffeoPZs2dx7XU/Z+myU3jiiSe5/fbbghP2AEVFY3n66X+x4r33OPucb3Hdz3/O7Fmz+Oc/+u/jnZ6ezgMP3M9vfns91dXVfXqNJEm88vKL1NXVccGFF3HmmWdz//0PUOl3JfrDH27irbffZtOmTcyeM4/Zc+bx2WefAZCamoLD7uC319/Ayaecxuuvv8Ftt93K6aedBsBDDz3Ek0/9i9ra2uBrn332OQDOP+88nnj8Md5+511OO/1Mbrr5Fn76kx/z29/8+oh9VlWVF194keWXXhK2XaPRcNFFF/HCiy/2+LqxY8eybv0Gfvijqzn77HOora3jqSefJDs7K+y4H/3wB1x15ZX85rc3cNLSk9m5c2e3thYvWsRj//w7v/jFr/jwo48AGD9+PCvefRer1coVV17FmWedw6ZNm3n1lZc5bvFiAF544UXOOvPMbhPjiy+6iNWrv6asrKzHvj/wwH389Cc/5m/33c/SZadwww2/54wzTud/z/y327HPP/cs+/fv5/wLLuKKK64iOSmZN994nfT0dACWLVvKHXf8iUceeYSlS0/mqm9/h08++YSmpuYezx3gsX/+g9TUFH74o2s4+5xzOLD/AE899QTFRUWHfV1xcREPPnA///znY5y87BSe/vd/+N3vbuDdd95mwsQJ/OCHV3PeeeejqipP/+tJ9Hp9v963Tqfj1VdeZtbsWfz4Jz/lW+ddwKrVq3nk4Ye79eXuu/7CNVf/iLvuuptlJ5/KKy+/wr/+9WTw+ggEguGDdqg7IBAIhg+lJQd73K7X6zl06FC37S88/yyKonTbrtVq++Qvn56exoknLaW9vR2APXv2cMopJ7Ns6VKef/4FAH79619RVlbOj3/yU1RVBeCn/3ctX6/+innz5rF+/fo+v78AaWnpnH/BRWF9X37pJRQWFjJ7zjzq6+sB2LdvH7Is8ec/38HjTzwZXFE3Go38/R//4IUXfJPh3bt387fs+7nvb/diMpmw2+197suDD9zPJ598wltvvd2P/qeRnZ3Ns889x44dvgl06ES6uroam82G0+WivLw87LVr1nzDmjXfBP/+y1/u4pKLL2LRomN5/4MPqKurp621Fa/X2+21N998I8888z/uv/8BAHbt2kV2Vha33HIzDz70MC6X67D9fuHFl7j++t+ycOECvvlmLQCnnnoqbreLzz//ggXz53d7zRNPPBn29+9+/wc2bljHrJmz+ODDD4Pbx4+fwIKFxwTHUlemT5/GM8/8h1tvvY1XX3stuP363/6GAwcP8OOfdFptbvvj7eTm5nLTTTdy+hln8sorr3LrLTdz5hln8NrrrwOQlJTEyScv41e//k2P5xs3bhyXX3YZV131Hd57/30A9u7dy8FDh1jz9SqWLj2JlSs/DR7/6Wef88ijfw8ed8WVV7F50wYuv/wyHn74ESZPmkR1dRUvv/Jq8DV9GftVVZXccMPvg39f9/NfcNZZZ7JkyfEcONjz9x3AYDDwt/seCH7G9913P5decjGjR+dzzrnfwu12A3D7n/7E22+9SVFREbt37+7z+z7jjNOZNGkSJ560lO3bdwC+MZyens5vfv2rYD8KCgr4zne+zY+uviboKrd3715mz57NdT+/lq9WrTriZyAQCAYPYbEQCARBlp18KieetKzb/23btvV4/K9/89sej3/mmf/16XwbNmzsNhEsKSkJW40+YckSVrz3XlBUgG/C39DQwLwuLhh95e233+4miBYvXsyGDRuCoiLA+x98gNFo7JZt57PPPg/v96ESZFkmKyt8Jf1wXHXllUyYOIHf//4P/ep/Y2Mj77zzLk8+8Tg//OEPSE5O7tfru1JRUUFqWuphjykqGsuYMWN4+513w7av/noNFouFiRMn9PLKTiorK/nyy6+4LCSI+/LLlvPSy6+EXd/DERA7Xfv7ycpPehUV+fl5vPDC8/zjH//k6X//J2zfosWLeP+997u95v33P2DevLkkJCTQ2NjIxx9/wkUhWa2+de65eDwe3unyeQQ4bvEiPB5P0DISYP/+/ezfv5/jjzsubPuqLhPkhoYGNmzYwJw5Ppeut995l5SUFF566QVOOulEJEnq8bxd+ezzL8L+ttvt1NbW9uhy1JU1a9aE/V1TU8PmzVuCogKgstK3gJCZ6XMn7Ov7njtnDuXl5UFREeDzz8O/V0uOPx6v18v7738Qtn31119H/P0XCAQDh7BYCASCIPv378fr9Xbbbnc4ejy+srKK/fv3d9ve1Hx494wADQ0N3bapqooUEjicnp7Oz6+7NiwOAHxWg5TUlMO239vkq6oHl6PU1FTq67v3p7GxCfBZCQ7X98DEWJb7NuEbO7aQW2+9mUsuvQybraPX4+6/729cfPFFwb9/+atf8/LLr/C97/+Ab33rXL7/ve9y80038eqrr3LX3XdTV1ffa1sAxxyzkJ/+5CfMnDmD5JQUtBoNer2ektLSw74u4JLzwvPPhomAwGecknJ4YRLghRde5J577ub3f7gRs9nMsmVLue22P/Z6/OWXX8bySy9h3LjxmM2JvQaVV1X17kb26CMPY9DrKerB/SctNbWbmARobGoEfOOio6OD5194kX899QRpaWk0NTVx8cUX8sabb9HR0fO1S01Lo6mpucfvU2NTE2n+zzNAT6KovqGB5CSfaCwtLeW440/g+9/7Lg8+cD9Op4u//+MfPP30v3t93wANPYzprt+x3mhr655hquu2wFgIjIO+vu/k5OQev29dt6VnpKPT6Tiwf2/Ydo1Gg06nQ5blHq2mAoFgaBDCQiAQDBl9WaVubmnhpRdf4tnnnu+2r6nJN+lXCZ/cBEhOTulzX5qamsjIyOi2PcM/EWppbgnb3tcV9t646MILSUlJ4cMP3utx/2XLl/Oza6/jrrvv5tG//yO4vba2Nnj+N954kzfeeJNJkyZx11/u5I3XX2PxcUt67dusmTN54/XXeOedd/nlr35NbW0tTqeLf/z9kSP2t9n//n/8k5+ya1f3zEOVlZVHbAPgnXff5a9/vYuzzz6LrMxMtmzZ2qtLzjXXXM0fb7uVBx96mL/cdTdNTc0oisLXq7/q07kCPPHEk6xdt5533n6Tr1atCsaMgO+6dxWNABnpGSiKQmtLCwAfffQRLS2tnHfet3j//Q845phjuPMvd/V6zqbGRpKSLGg0mm6T7Iz0dNavC3djSkvt3ofMjIywiXZDQwN/vede7v3bfVxw/vnceecdJCUl8eCD3QPLAwS+G4NFX9+31WolNbW7GE1JSQn7u6W5mY6ODpYuO6XbsYAQFQLBMEMIC4FAMKz5evXXTJ4yuUfLSIDW1lbAl2Hn4MHOWJAlS47v83k+WbmSe/56N5mZmWEr2GeccTpOp5N1EcRyHI7//Pe/QR/0UB64/z5qamq56+67qaiopKWlhdraw9e22L17N7fceisrP/mYjIwM6uvrcbvcmLoEGy85YQkOh4MfXX1NUHxotVpGjRrF7j17gse53O5ugcoHDhygpqaGwsJC3n77nUjfNg6HgzfeeJPLli8nMzOTJ598stdjly49iU8//ZS/hEzgJ02a1O9zfvTxJ+zfv587/3IXf7nzz2zYsDGYlvWTlSs544zT+dt994e95owzTmfr1q2022wAeDweXn3tNc495xyMBgMlJSVhsSpd+fyLL9BoNJy8bFlYLMiECRMoLi5m1arVYccff/xxwfgN8LkWzZkzhz/d8edubSuKwiuvvsqcuXM49thjDissBpu+vu9NmzZzzTVXM664mP0HDgSPC2S5CrBq9dckJCSQlJTExo0bB+dNCASCiBHCQiAQDGvuuvuvfPzRBzz44AM899xzNNQ3kJ6RzoL583n2uedpbm5m167dVFZWcuutt3DTTTdTX9/AomOPOWyl56689NLL/OiHP+C5Z5/h9j/9merqao495hhuve1WHv37P2juo3tXgJSUFPbv28Ott94WZnEIUFdX36Pbks1mo7mluZvveShZWZn8/Oc/Z+XKlZSWlmGxWLj22v/j0KGSoIvW7j17uPzyyzj33HPYuWMn1nYr+/fvx2w28+2rrmTVqtXk5ORwzTVXdwu63rN7D2lpafzgB9/ns08/w+V2U15ezh9v/xN/u/ceNBoNn678lA67nVGjRjF1ymT+8c/H+vzZPPf8C7z/3rvY7XZee/2NXo/bv/8AF5x/PieddCLl5RVMmjSRq3/0wx7T0vaFhx9+hOOPP46nnnycU049nY6ODv7yl7tZvepL/vH3R3nsscdxud1ccvFFnHPO2Vx2+RVhr3/hhRf4+KMPSU5J5oUXXzrsuUpKSnnyyad44IH7ufHGm9i6dStFRUXcfvttfL1mDR99/HHY8cuWLeW6667lgw8+JDU1hdtuvZXW1tZgEoMLL7iAjMwMNm/eTEN9A+PHj+fss87kf/97NqLPYqDo6/t+d8UKDh06xNNP/4tbbr2V6uoajlm4gEsvuTisvX379vG//z3Lv556gjv/chdbtmxFq9VQWFiITqfjjTfeHPw3KRAIekUIC4FAMKzZv38/p51+Jr//3Q389z//Jjk5mcamJr784stgEKmiKFx51be588938MLzz+F0Ovn8iy+4dPnlrF7VN7cZVVW5+JLl3HLzTTz2z3+QkpLMoUOHuOOOP/Pkk0/1u99Tp0wB4ONPVvb7tUeio8NOVmYmf3/0EVJSUmhtbeXrr9ewfPllQUvEf/7zX+bMns09f70bvV7Pj3/8U1aseI977rmX66//LUlJSew/cIC/3HkXs2bNZPSY0cH233v/fR5/4kl+9ctfcOstN3Prrbfx9L//w8svv4K1zcrPrv0/fvHz69Dr9VRUVvLaq6/11tUeWb9+Pfv27WPbtu2HFQl33XU3mRkZ/OupJ1FVlfUbNvDr31zPvffcHdkHB/z0pz/j889Wcvfdf+Haa39OdXU1Z519Ljff9AfeeOM1ZFlm67ZtXHLpcj7vEvi8ffsOdu3ezZTJk7nyym8f8Vy33vZHGpua+N3vbyA/L4+Ghgbeevsd7vrLXd3c1W644fecc87Z/N9Pf4Jer+frr9fwk5/+NPj51NXV8aMf/ZAb//B7tFotlZVVPP/Ci90sLcOBvrxvp9PJeedfyJ///Cf+9dSTeDweVq1azaXLL2fVV+Gf+y9/9Wt++pMfc921P6OwsBBFUdi7dy8PP9L/9M4CgWBgkdIzsgbXAVMgEAiOAq699mecf963evUNFwjA5763aeN6zr/gIr6MUdV1gUAgGCpEulmBQCAYAI495hj+/e/uhdAEgp7oa/pYgUAgGM4IVyiBQCAYAC6/4sqh7oJAIBAIBIOKsFgIBAKBQCAQCASCqOm3sDjnnLNZ8e47lJQcZOeO7dz+x9vQaDSALwvKk08+zsED+9ixfSu//c2vw157pP0CgUAgEBxNlJeXk5GZzRdffHHkgwUCgWCY0y9XKIvFwne+/W3uufdeVq/+msLCQv7z73/R2NTEgw8+xAP334dX8TJ33gJSUpJ5+l//oqGhgaf//R+AI+4XCAQCgUAgEAgE8UnUWaGuu+5aFi06lp/97Dp2bN/KzFlzqKmpAeCM00/nppv+wOLjlpCRkXHY/QKBQCAQCAQCgSB+iTp4Oz0tjdraOqZNm0ptbW1QNABs2LiB8ePHYzabj7i/vb29W9t6vR69Xt9tW1NTU7TdFggEAoFAIBAIBDEkKmGRmZnJJZdcwhVXXkVhQQFNTeGVaZuampFlmczMDNJS0w67vydh8YufX8f11/+22/bCscU9Hi8QCASCweNk6/eZ7DwOAAWFR9N/CCJralxgUBK5uulhAGxSC4lqCi8m306driTqtjM8o7ms5Y+0yy24JTup3lG8mnwXVbq9UbctiA0XtvyeXM94PjI/xSntPwDg0fQfoUjefrd1RfMdpHlzeTX5Lr7V+iu06Pl36m+xahr71c7x7Zcxy3EK60zvYFATmOFYyjemN1mbKKqrxxMRZ4VKTEzgmf/+h38+9hgbN27sVkUUOvNyezzeI+7viQcefIjCscXB/9Omz4y0uwKBQCCIMVLIT4iMjCwymMcNUogCdEkOALToezs8wrZVPLh9bau6mLQtiA2Ba+T2X3sAvWqMsK3AfUDFLTkB0KmGiPukhrQTaZ8EQ0dEvwJGo5H//uc/rN+wgQcffAiAhsZG0tJSw45LT0sDoL6+/oj7e8LlcuFyuSLpokAgEAgGnHDzhE7V45Q8Q9QXQX8IFRaByWUkk8HeWgffBNEj+X7DtWpsRIsgNgSuv4IXDy606NGpRhzY+t+Y2vngkhyYVAu6CARBqCDtHJNCWMQb/bZYGI1Gnvnvf9i3fx833XRzcPuWLVvIzMwkJzs7uG3O3DmUlZXhcDiOuF8gEAgE8YXURViIyWM8ESosIl9l7rFlNcRiIYTFMKVT/AUsVpFbLEIFQTSWhtj1STB09EtYBETFnr17+d3v/hC2r62tjVdfe40/33kHqampFBQUcMP11/PfZ/7Xp/0CgUAgiC86J5A+YuVKIxh4Ot1OlJDJf4yERZhLi1h5Ho5IIU9idY18gqADAL1qiqBP/l5JYtzEM/0SFueeew4nnXQiP77mahrqa8P+jx49mhtu+B0up4sN69fy0Yfv8+WXX/LQQw8HX3+k/QKBQCCIH6QuPyGxc6URDDQBUahG6RffS+vBtp2SHYhsoikYSGJlZQi3XDpknyuVUU2MuGehY1IsVsQf/YqxeOmll3nppZcPe8xPfvp/ve6z2ToOu18gEAgE8Ytwd4knerIqxNZiAeDyCwuDEBbDjFDxF7AyJMSsLYPS/7YkVQ6248FnRdOJe0rcEXFWKIFAIBAc3XSNsRAWi/ih88qF+rPHdvKvogxY24LokEISdToDVgYlcitDsK2AsIjAYhE6JkVsTvwihIVAIBAIIqK7K5Twh44XAtcu1F0pVlaF0HHR6XMvxsbwotPK4JB8wsIQocUiNHg7IFIia6tzTAZdoYSwiDuEsBAIBAJBRHS1WIjJY/wghWXgidYVpmvbPlRp4KwhgugItQ5EY2UIxSdSfG1FYv3olCchFguEFTTeEMJCIBAIBBHRNSuUsFjEEyHCQvZbLJRYTf47p4guEbw9TAlc/5CA6whdoYLWL0nFGYX1I1TsBoSFiLGIP4SwEAgEAkFECItF/NKZ2pOQ4N0YuUKp3UWLEBbDizD3pahdoQKoOOWA9SMSYRFSwRvhChWvCGEhEAgEggjxTSmcwo8+blFRQmIsYuMKFV7oTAiL4Un3FLGRu0KFWD+kdgCMiiXinqlSp8VCgxZZ1UTclmDwEcJCIBAIBBEhdREWwhUqfgik9gRiPvkPXw2PtZuVIBZ0XiElaLGIPCtUZ2sdchsApgiERXgFb1dwu7BaxBdCWAgEAoEgIgITgc6JqRAW8ULoxDKaask9t91TxqFE35K2YJgQamXwXSOTao6spZDrapesAOgxRiAIOseNggcFBRBF8uINISwEAoFAEBEBn+iAsBAWi3gikNoTnKFxEF0C8iMj1M3G5xqjQSvcoYYRUpiVoRUAk5IUofgLL7YYKG6XoCT1rxW1U+wgIWpZxClCWAgEAoEgQgKuUMJiEW+EBtwGVqxl5Jhcw1BriFdyBwNxjRGuiAsGDlVS6ZB9VgYN2qgL2yER4g7VT2ERbMlnqfD4x43IDBVfCGEhEAgEgogIrDC6ZBFjEW90uispKJInWG/CpEYedBvauq9tH9GmMxXEntCMborkCYrL/loZAq1B5/W2+4VF/9sKb8cdtFiIWhbxhBAWAoFAIIgIqYvFInZZhQQDjRTiCgWdvvFGJXqrQqibDYDD33ZsRIsgNoRfo8jFQPfr3SH521KTI2pHDVgspIDFQgiLeEIIC4FAIBBERGAiEJg4GsSKdNyh+iNvA7EQsZj8ByeIwbaFxWLYoYY9RCwGwpv0tdauaQbA7E3t1+u71sUJWNGEsIgvhLAQCAQCQYT4JgJ2/6TUqCaIzD9xQtdV5oDFIpI0od1Qu1osAuNDWCyGC92sDP4A7kQlJeq22uUmACxKWr9bgk5B6vYLCxH0H18IYSEQCASCiOi0WAQy/+hEasi4oTOTD3RaLGLpCqUGJ60BNxshLIYbgWtk1TQCYPb2VwxA19gIq+xvq5/CoqsrlCsoLETsVjwhhIVAIBAIIqIz3awDLx5AuLvEC5Lai8UihlaFwKTVJrcAka2GCwaGrm5H1oitDCFtSQGR4m/Lm96/dtSeXaGExSK+EMJCIBAIBBEROqFwhhZCEwx7uloV7P6Uo5FlBeradiAwPCAsWv1tp0TdtiBWhF//gJXBovRPDITSva20bmKhP31yB2MshMUinhDCQiAQCAQRElJhWQToxhnhk7h22RdwGwurQtepZEfQYhF5YLAgtnSzWPhdofprZeiprXa5CS9uNOj65Q7VVey6RH2cuEQIC4FAIBBERGelXAWn5KtlYRQWi7iga8BtwF3JrPQvk09vrffUtnCFGo74rlGb3ABAgpqETunvRD5cEKiSSqumHoAUb04/WgkfNyLGIj4RwkIgEAgEERG6wigy/8QXXVeHbTG1WHRtuwXwxW9oVG3U7Quip5t1QLZjk3wua6n9EAP+RrrRoqmJoK3eLBYixiKeEMJCIBAIBBEROjnpCPrRR++jLxh4uk4s2/2Tf4OagFaNNrNXl4xTkg0XvtXnaHz4BbEkPLUrdIqB/lgZfC2FWxoAmv1tpXlz+9kjEWMR7whhIRAIBIKICBcWkVfuFQwF4Zl83LIjuEJsiSjlaGjLXSatErRpfK42Sd6MqNoWxIbOqIiexMCoiNpUQ9qq15YBkOkZ048+BaakXV2hhMUinhDCQiAQCAQREToR6LRYiADdeKAzPqZzMtgq+/zik5TMaFv3P3a23eb3uU/yRtu2IDaE154AaNSWA5DRDzHga6n7WKrX+IRFuie/n5mhOgVpQOgahLCIK4SwEAgEAkFUqJKwWMQf3SeDgcl/cpST/55ESyAFafSiRRAbuou/Om0pAJnegn621L2tFk0tTqkDHQYyPX1rr2s7TtmXEMKgJPSrP4KhRQgLgUAgEEREaL2CgLAwCWERF/Q0GWwNWhWyomw7QHf//X4HBgsGBKmHgOsGbTkKCmYlBbO3P9nBuls/kFQqdbsBGO2e0rdm1K6xOb6EEAY1sccAccHwRAgLgUAgEEREaLrZsJSiYhIw7OnJfaVVrgMgJUph0dNEs0lTBUCap+/BvIKBpPv190gu6rSHABjtnhpBm+Ff/HLdTn9bfRMWXcdkwGKhQYuWaBMKCAYLISwEAoFAEBGhE4FAgTU9RlF9Oy7o7vfepPVP/r15Ubbc3RoSaDtJyUSj6qJqXxA9PVmVAMp0OwAY4+q7sOhaIC9AuW4XAKPc4/t0zbsGb7tx4sUDiMKb8YQQFgKBQCCIkM4JpFdy0+HPg2/pR7VdwdDQKQqV4LaAVSFZyUSnGqJq3dd256S1Q2rDLlmRkUn3RCdcBLGgB/cloEzvExaj3VOCrkl9bquLf1Wzphqr3IQWHYWu6X3uWXDcSOCUbABisSKOEMJCIBAIBBHR1XXBqvEF6Fq8olbBcKcnVyiH3I5NagEgLYrJf09tI0GdtgSAbM/YiNsWxIaerEoAtdqDuCQ7JtXCKE9xH9sKoHbbsdewBoApjuP73KfQcRMM4FZFAHe8IISFQCAQCCKia70Cq9wEgEURtQqGO53XLnx7vT8zUDST/8NNWn1tF0XctiBW9GyxUCQv+/UbAJjqOKGPLQWSOHRnp/FLAMa4p5N4hIDwHsWu32IhXKHiByEsBAKBQBARXScCsUpXKhgMApN/JWxrjc43+c+JweS/q2tMlW4fEHCzibp5QRT0amUAths/A2C8c0E/J/Td22rR1FKh3Y2MzGz7aUfoU6BoY+e2oLBQzf3oh2AoEcJCIBAIBBESHmzZLFKKxg2dGb3CqdbuByDPPbkfPvZd2u4yLgJU6vbixolZSSXD278ibIJY07NVCXyWpTpNKVp0zDqCGAh9udqLWlyf8A4A0x0nkehNOWKfQuN+RH2c+EMIC4FAIBBERGi6WQitVTBqyPok6B9qF4tFlW4fLsmBWUkhq4+FzXpoNPQhiCJ5KNf7UpAWumZE1rYgJki9uEL5d7I24U0AZttPPawLU3hGqJ6FRbluJ1XavWjRsbDjW7231YOQtcu+hBAJSnKvrxMML4SwEAgEAkFEdHWFClgsLEoaWlXknR/OSL38/CuSh1LdNgDGumZH2Hb3lecAJfqtABQ75wp3qGGAKnW/RgCH9Jv9YkDPibYrD3OtDudU1XnIqsSXAZjiPJ4Mz+jDthU6bmzCYhF3CGEhEAgEgojouuppl63YpBYkZNI9+UPXMcER6XSE6T4dPKTfBECxa05Ek//e6hoAHNBvxIObLG8BOX3MOiSIPYe7Rv4D+Mz8DF48FLlmM8m5qA/t9D5YanQH2Kdfi4TMcbZLezy0JytKh7BYxB1CWAgEAoEgQroHANdrywAid6MRDBKHtyq4cZLuzSPfPSmKtrvPHh2ylT3+FKSz7KdG0LYgNvR+jQI0aiv5JuENAJbYLsd8hKxOh2sLfFYLD25Gu6cw1jWrhx51j/sICgtVCIt4QQgLgUAgEERE13SzEJquVKQUHc705goFvtoBu4xfATDHfkYEbfceGAywxfQRAONcc8l2i3EyJPTRErXR9D7V2v0Y1ASWtn+vh9f1PcDfqmlks+lDABbbLkFWNT22FRa8LQlXqHhDCAuBQCAQRERPeecrdXsAkVJ0uBOc+vfiY7/J9CEKCgXu6RT0o2pyaOu9rWA3aivYZViFhMxJ7Vchq9p+ti+IliOJvwCqpPCx+V94cFPgnsYk5+Iu7YQc24cv/HrTu3RIraQqOUx3LO2xTz25QhnUBDSq7ojtC4YeISwEAoFAEBGdhbE6pwJVur14cGFWUknz5g5V1wRHpPeiZuCrSbLF6LMsnNT+7X7VM+jJktWVVYkv4ZDayfQWcLxteZ/bFsSWvoiBFm0N3yS8DsBi20VdEjP0LyWxW3awJtHX1hz7GWFWi85x0yl2XZIdD25AWC3iBSEsBAKBQBARXdPNAnglD5W6vQCMdk8dkn4JjkznnL/3ieWaxNdpkWuxKOmc2fYzNH20LPQhTxB22cqHlicAmOFYymTHcX1qWxAbjhi83YXNpo9okWtJUJOZaT+553YOIyRD2WVYhU1qwaykhMVa9NgnSQRwxxtCWAgEAoEgInqbnJTrdgBQ5IwsXalg4OnJja0rHsnFu0mP4JLs5Hkmck7bL9CphiO3rXa3ZPVEqX4bG0zvATDFcXxfuy6IAX25/qEokjektsVpPbqv9aet3cbVAExwLgzrVU/tdAoLYbGIB4SwEAgEAkGE9JxZaJ9hLQoK+Z5JpHqEO9TwpG8TyyZtJW8nPYhLcjDaPYXzWn+LSbHErBf7DGsBSPZmxqxNQV/oW4xFKHsN39AuN2FSLRT5a5xIYfapvrcVuO4FrulBd6jOAnldhUUggFtYLOIBISwEAoFAEBG9rXq2a5o5pN8M+NxcBMOPvgbvgi9u5o2ke7BL7eR4iri45UZSvNmHbd3Xcs+B4aG0yfUAJKopoqhiFCR7sziu/VKuaL6DnzY8xjUNf+eClhsY71x42Evcn/wKqqSy2/A1AMXOOYGNEbVWrymnQ2pDh4GcLhnkut5PbHILAGbl8OluBcODfgsLs9nM008/xcYN68K26/V6/nbvPezZvZO9e3Zx991/QavV9nm/QCAQCOKLwwXpbjV+DMBUxxJSPTmD2i9BX+ifK0yt7hCvJN9Jq1xPspLFRS03Mso9vpeWu2f36Q2n3IFDageE1SISZFXDsbYLuaL5DmY7TiPNm4sGHXqM5Hkmcrr1Gs5uu65bRqX+CMtQAgsGBe7pSKrcxWLRDySVSt1uAHLdE/x96tmFzio3ApCkZPSrr4KhoV/CYuLEiXz4wXt43J5u+26+6UYmTBjPCScu5fglJzCueBx/+P3v+rxfIBAIBPHF4fy0K3S7OaTbggYtS9u/10POesFQ0l8fe/BlB3o55Q5qtAcxqWbOa/0N+a7uBfT6O2lt1fisFsnerD73RQA61cC5bb9knv0sNGgp1W1jheUR/pN6Pf9LuYk1Ca/jwcVY9yxOaL+yy6v7F7wdoFZ7EJdkx6Am9JD1rX8ipU5bAkCGZ/Rh2wmMjyQhPOOCfgmL445bzB//+Cf+/e//hG2XJIkrr7yC2/90BzU1NdTW1nHLrbfyve99F1mWj7hfIBAIBHGG2vsKIwASfG7+Hy7JQa5nPMvavxcM6hUMPZGuWNtlK68n/5WD+k1o0XGm9Wfd4mj6K1pa5ToAkhQxcewrsqrlrLbrGO2egktysMLyKG8l388Bw0baNA00a6tYl/A27yQ9hIrCVOfx5LiLg6/vrGPSv+uvSiq12kMA5HiK+p1dKpQGbTkAGd4x/j71PG4C7nJifMQH/brLP/XUv/jgww+7bS8aO5aEhAQ2b94S3LZjx060Wi0TJ0484v7e0Ov1mM3msP8CgUAgGA4c2bfaqmnkPcvfUfAyybmIc9p+gVER9/FYIakSOe5iptuXclz7pZzYfhUntF/B7I7TGeOadtiCYn2pNdEbHsnF+5Z/UKndg0FN4OT274UE3vpa99G3ttuExaLfHGe7hNHuybgkO28k3cMBw4YejyvX72SnYRXgy+YU4LCLAkcgICwyPQWEJxfuX1sN2goAUrxZyKqms09SzxYLsyLicOKBmAQ5pKalYbPZcLvdYdtbWlrIzMyko6PjsPt37drVY7u/+Pl1XH/9b2PRRYFAIBDEkL5W3C3Tb+c9y9851Xo1Be5pLLFdzoeWxwe+gyOYJG8GM+2nMMl5LEa1d6HmkhxsN37KWtPbuGVH+M5eMvD0Fa/k4QPL41zZcgc5nmKmOk5gu+mzLqforyuUWJHuCwWu6cx0+GpJfGB5jFrdocMev8X0IVOdxzPWNQu9YsIl20P29v/6N2uqAZ8QDLdX9K+tDqkVD2606DArqSFyNLwdp2TDKXVgUBOweDNo1lb1u8+CwSMmdmlV7XkwSZKE1+M54v7eeODBhygcWxz8P236zFh0VyAQCARRIoX8fBwp+89BwyZWmn0utKPc4wa0XyMZjarlGNsFXNl8J7Mcp2BUzTgkGwf1m9hoep81Ca+zzvQOe/XfYJUb0atG5tjPYHnLrVG7K/WETdPM1wmdVZQDVov+tt2iqQU4QqYpAfjGwJL2ywHYZPyAEv3WI76mUVtJs1yDBi157olh8/9Irn54TEyEwdv4XhoIzDYraXROSdVux7X63aGShTvUsCcmFovGxgYSExPR6XRBq4QkSSQnJ1NXX4/b7Trs/t5wuVy4XK5YdFEgEAgEMaV/LhCl+m2AL7OLTjXglpwD1rORiMWbztlt15Hh9QW6lum2s8n0IeW6nahSD8JOhUL3DE5ov5IUJZvz2n7DCym3YffXBIiFsADYYfycBR3nkqxkkueeSIV+d7/97pv8K+BJSgZaVY9HEr/7vTHDvowUJZt2uZlv/AXr+kK5fiepjhzy3ZM5pN8Ssqf/179V44uJsSjpXaqx97+tdk0TqUoOFm9asHB3T2OyTVNPlrdABHDHATGxWJSUlNLc3MzMmZ0WhWnTpgJQVlZ2xP0CgUAgiC/CJo99cHlxyjY6JF8F3VTPqIHq1ogk2ZvFxS03kuEdjU1qZYXlEd5Mvo8y/faeRQWABCX6rbyY8kcaNZWYlRRO8K90Bw+IAV7JzQHDegDGueb7Wlb7J1ocspUOqQ0JmVSvGBu9oVG1zHL44iTWJLze3b3tMNRqDwKQ7s2Lyn0JfC5MbpzIyFiU9M4dEQwpq9wE+ETK4RIKCHe5+CFmhSSefvrf3HrLTfzo6h+jKF5uu/VWXn75FZxOZ5/2CwQCgaD/yKoGs5JGgpKEUTFjVBPRq0ZkNMiqBhlfmleP5MaLB6/kxoMLh9yOXbbSIVmxy1YUqXe31J6IpOJuk6aaBE8yqd5R1OlK+nW+oxWTksR5rb8hUU2hQVPBW0n3Y9M09/n1DtnGh5bHWd5yK+NdC1jreZsmbWWIxeLIReyOxCHdFqY5TiTfHUg92//4jUZtJQnuJNI9edRrS6Pu00hkknMRZiUFq9zEHn+hur7SpPHFJaR5conKfQnfyzvkNpKVTBKUJH87kY0jm+wby76q2r0L0hZNDQBpQngOe2ImLO79230kJSfz+Wcr0ev1rFjxHjffckuf9wsEAoHg8MiqhlHu8YzyjCPHXUSaNw+LkhYUD9HQJjfQoqmhUVNFtW4flbq9OGRrr8eHpo7tq7Bo1laT75kkJgd9RFIlTrNeQ5KSQbNcwxvJ92A/zDXpjQZtOQf1myh2zWWK43i+Mr8QVVagrlTr9gOQ6h2FSbHQ3+J7AE2aSka7J5PmzYu6PyOVqY4TANhi/AhF8vbrtc3+iXmimtIl4D+y6++Q20lWMjGpAWERGU6pAwCDmnDYwoqNmkoA0rvVvBAMNyISFqtWr2bO3Plh27xeLzfeeBM33nhTj6850n6BQCAQ9IAKuZ4JTHUsodA1E6Oa2O0QDy5scgsO2YZDasclOVAkDwpeFBRAQoMWjapFq+rQoseomDGpSZgUMxq0JCkZJCkZjHFPY7bjVFQUynU72W78jAP6jYd1c+i7xcK/atqtsJagJ2Y6TvalFMXBu0kPRyQqAuwyrKLYNZci1yy+4oXgJE7pzZWqHzhlG82aalK9o8jwjI4ofqNz4iiERU+kefLI9ozFi4ddxtX9fr1bdmCTWkhUU0jydlawjlRYBqql+4Skr6VIcMp+YaEk0nmT6T4mm7S+8ZGoJmNULIdd9BAMLTGzWAgEAoEgtuS7JrPYdjFZ3sLgtg6plQrdbmp0B6jXltEq12GTW/sU59AjKhhVC6nebFK8OWR5Csh1TyTDm88Y9zTGuKdRpd3HB5Z/0h7ighMeoNtHi4U/SDdNTB6PiNmbykLb+QB8ZX6BZm11VO1V6Haj4CVZycLsTQupOxG9xQIICosUb06vaUMPR5M/hWi6sFj0yGTnYgBK9FsinlTb5FYSvSkkKilR9ycgcgPCIlKB0leLhVty0irXkaxkkeHJo0K/O6LzCQYeISwEAoFgmKFXTCxt/w7jXQsAcONkj/FrdhtWU6M9EFFRs16RwCFZqZatVOv2s4uvAF+thKmOJcy0n0KuZzwXt97E60n30KL1uVTI9N8Vql7rS9aRomT3kE9fEMqCjm+hx0iVdh87DF9G3Z5bdlCnLSXHU8QoT3GIK1T0FguA5pCUsV4pULOqPxYLX7E0i5IuVqS7okKxcw5Av2MrQrHLbeCFRCU5pOnI7iV2yS8sDlNHpS84JRsABtUUUrSx5zHZqK0g2ZVFujefCoSwGK7EJCuUQCAQCGJDuief5S23Md61AC8eNhs/4t9pv+VT83+p1u2Prag4DG2aBr5OfI1nU2+iUVOBWUnlLOvPkIPpJftexyKAQ26nTW4AINMzJtZdHjEkeTODK9SrEl+K3BrVhcDkPdU7qtMVKkYWi0Bwbao3h2CMRT/67ZLtQYtWtqcwJn0aKaR6R5GsZOHFTZl+R8Tt2GRfVraEGFgsHHLAFSrJvyVKV6gwi0XPbTUE3eXyIzqXYHAQFguBQHBkVAktOrSqDo2qQ4MOjapFgxZZ1QT992X/o4REpW5P8EdD0DcyPQWc1/prjKqZVrmO9y3/HPLsSVZNI68n38NlzbeT5s1lhmMpm00fIodmFepHmsk6bQlJrgyyPIVU6vcMUK/jm9n205DRUKrbRo3uQMzaDUzcUz2jaPT7rPfkzx4JgbShiUoKjfja7q81pFZ7iFTvKLI9Y4N1TwRQ6PKl6q/Q7Y6q/kughkliUAwQsWi1B4WFz2IRefC2z2ppUBKPaD1p8Fs8szwFEZ5NMBgIYSEQjDRU0KlGTKoFo+JLPapXTf7/nc91/uc61eAL6FX1fvGgR6vq0aAP295fDuo38W7SwwPwBkcmqZ5RnN/6WwxqAtXa/byVdP+wcRWyy1a+SXydpe3fZab9ZLYYPwpmhVL6OXms05YwzjWPLLEq3SM61cAk57EAbDS9H9O2m7UBq8KoYExDrCxgoT73gbHRXzebWu0hJjkXkeUeG5M+jRQKXTMAuhS26z89WSwidYVy46uhoVONwZYiIRBjocOAF4+/pZ7vKTXBWhyjRZHNYYwQFgJBPKGCWUnzZfDxZpDkzSRJSSdBScGkWDCpFhIUC5oIhEBf8dVC8ODFg+J/ruDFK7nx4kuBmOUtIN89GUmVBs11J57RKybOars2KCreTLqvX8WvBoPdhq9ZZLuYJCWDHE8xVrnRv6d/17dOWwIghEUvjHcuQK+aaJZrqNDF1o+8TfYVGTMrqRELw96wS77VcKNqDsbfRGKxAMj2jPUNq9jU8ItrZFVLjqcYgHLdzqjacsQoLgIIVkfXYgAiFyguqdOqrTnClNSmacYqN2JR0sl2jxUB3MMUISwEgmFMojeFfPcksj1FZHhGk+EdjUFN6NNrXThwyh24pA5ckgOXZA959D13Sw5cksNXNE1y4fEXTws89+LfJrnw4HvstdKvH0mVuLrpEfSqiTRvHo3ailh8FCOa423LSVVyaJMbeDfp4WEnKsBXYblMt50JroUUuKazw/gFEInFwlf8LEXJxqRYokqhOhKZ5FgE4Pt8YyzKOwJWBdWCJlj7JFYWC59rjAZtMCVyfyebDdoyvHhIUJNIVrJo1dTFpG/xTJanAC06OqTWYBxLpARW+DutDJEH77v9wkKn6qPqkyqpuHCgp299qtEewOJKJ8czTgiLYYoQFgLBMCPdk8dE57GMdc3qMd+/Fw9WuRGrppE2uZ42TSPtcjN2uQ27v4qyXbYGV5QGG1VSqdUeYrR7CjmeYiEsjsBo11SmOI9HReFDyxPDeqJdrt/JBNdCcjzj2OnPHtXfyaNTttGgKSfDO5o890T2G9YPRFfjkgQliVzPeAD2Gb6JeftOqR0VBQk5GHQbiwJ5AIrkwSl1YFAT/FWUe8/u0xteyUON9gB5nonkuycJYQHkuicAUKXbF7UFp1NYGILbIr36nqCw8FssohDBXskNYWKnd6p1+xnvWsAod3HE5xMMLEJYCATDAVWi2DWbufazfG4Agc0o1GnLqNLuoV5bRoO2nGZNdb+rrg42NdoDPmHhLmaH8fOh7s6wRVJljrddCsAW4ydU6/YNcY8OT4OmHIAMT/4RU0MejkrdHiEseqDIOQcJmRrtwbCaIbFClVTsUjsJalIw5WisXAl/XHwAAEreSURBVKHAl4I0TFhEMG2t1O0mzzORPPekoFXsaCbX7ROasbg3uCSfJVQfMomPVFp4/CJFjoHlyycsQrf03la11lflfZRnPJIqR3T/EQwsQlgIBENMrnsCJ7RfSYbXl0LPi4cS/Vb2Gr6hXLcTp2wb4h72nxrdAbDDKM+4oe7KsGaScxHp3nwcUjtrE94c6u4ckSZtFSoKJtUSLLIV2eRxDzMdJ5PrnhjjHsY3xS5frYID+oETW3a5jQRvUnDyHytXKF/bVlKUbBKC1pD+T/oqdLtZYP8W+a7JIs5CJRhfEZhQR0NADOhVU9RtuQm3iEdj+fLgDvv7cNaPem0pdqkdk2omx1NEtS76z0UQW4SwEAiGCFnVcrxtOTMcSwFfdoytxk/YbPo47otDVWn3oaCQ6s0h0ZuKbQBWX+MeVWKO/XQA1ptWxEVqXo/kolWuJ0XJJs3jc9OLZPJYpdsLQIY3X8RZ+NGo2qDbyyH91gE7T4dsJd0LCWpk7kqHwx1cEfdNXCOZbNboDuDBTaKaTJo3j6ZgWtyjj0QlFZNqwYuHBm151O25u1kZIhcEnhhmZOosqOjjcH1SJZUK3U7GuxYwxjVNCIthiCiQJxAMAQlKEhe0Xh8UFduMn/Kf1OtZk/h63IsK8BW7CmT/Ge2eMrSdGaYUumeQ5s3FKXWw3fjZUHenz9jkFsA36YHIhIVdtlKv8QVxF7imx6xv8UyOexxa9NikFpo1VQN2nkBmoIQYx1hAZ0BvILtPJG5WXslDhW4XAGP99RuOVjK9viKSzZoavJIn6vZcPYqBSIVFDC0W3d7b4dsq1W8HYIx7WsTnFAwcQlgIBIOMSbFwfuv1jPKMwyHZeDPpb3xmfiYuVqz7QyA1ohAWPTPdfhIAO4yfD8ssUL0REBbmKFyhoHNVvvAonzwGyHdPBqBCv2tA3X9cXVatI80K1BPdV7EjGxsH9ZsAKHLNjrJH8U2GZzTQWRguWgIWpVAilQPubslBooix6OoKdYS2ynS+6uPZnsIQlz7BcEEIC4FgENErJs5r/Q1p3lyschMvpfyJMv2Ooe7WgFDuv/mPcU0B9Wh2lO5OgpIUXG3bHmfB7R3+6r3mgMUiQleaEn+xrzHuqciq5ghHj3zy3ZMAKPev1g8UXSf/MbVYdPG7V6IcGzmeYhK9KdF2K24JCgtN9G5Q4JvAdxeSkV3//oqBw7bVD1co8NWzqNbuR0JmnHNuxOcVDAwixkIQjgqakOrL4ZWYtWhULRp0vkdVi4RMuX5HcLIhOAwqnNz+fTK8o7FJLbye/NcRnU6xWncAl2QnQU0m2zOWWt3Boe7SsGGCcyEyMtXa/XE3Brq7QkU2oajVHqJDaiVBTSbfPWnECuy+IKsasv0FAyt1ewb0XLF0YRmotm2aFqq1+xnlGcc41zy2mD6ORffijkyPzxUqFvEVAEi+OIuw4O1I13wkcONE5y+QF012sa4ipS9iZ79hvW98OOez1bQy4nMLYo8QFvGO6it2Y1LNGBUzBjUBvWpEp5rQqyb0qtH/3/9cMaHD0Ckc/OJBo+rRqXq09L/YTYV2N6+n/HUA3tzIYprjRIpdc/Hi5p2kh+JuQtlfFMlDiW4rE1wLKXbNEcIihAnOhQDsMXw9xD3pPx1yK9BpsYh4QiGp7DdsYIZjKROcC49qYZHhGY0GHXbJGqyOPVC4u1osYhq83dUaEnnbewxrGOUZx2TH4qNSWGhVPclKJgD1sRIW+FzhYpEVCnzXu7OOReTX2tNPiwXAfv16jrctJ9czHrM3dUDSMwsiQwiLYYxW1ZPkzcCipGP2pmFR0rEoaSQqKRgVMybVjEmxoEE3IOf34sEruXHjwiu5ff/923yPHka7p5DnmYBRsYyIoOOBItGbyuKOiwFYlfgydbqSoe3QIHHAsNEnLJxzWZ3wytGdOtJPgpJEtqcI8H0+8UYgg1NnBfjIV7z3Gr5hhmMpxa65fKo+080l4mghy2+tqNOWDPh3pPvkfyAtFpFPNvcZvuF426VkegvI8IyO3ap9nJDizUZCxi5ZY/rb6qYzziLa+BqP5Ap+/aNpq7+uUADtmiYqtLvJ90xisvM41iW8HfH5BbFFCIthQoKSxCj3eLI8BaR580j35JGkZCD1MQzGjROH3I5T6sAlOXBJdtz+R5fkwCXbQ7Y78eDCI7nwSG48khMP7s6//fv6sgKxvPlWMr0FFLqms9u4OtqPYcSyqONC9KqJau1+tho/GeruDBqlum14cJOiZJPpHUN9jIIQ45kC1wzA7wrkX/2PJ7oGgEbjAlGt3Y9VbsSipFPkms0+w9pouxeXBIpi1vozqQ0knhjWH+hKd2tI5G07ZBsH9ZsZ75rPdMdJfGr+b7TdiyuSvVkAtGhqY9puqPiL9sqHthXNfcBDl6xQfRw3O4xfkN8+iSmO41lveieq8SaIHUJYDBGSKpPnnkCxay5jXNNIUbJ7PM4h2bDKjVg1jbTLTVjlRmxyC3bZil1uxyG1Y5et3VaKBosS/VYy7QUUumYIYdEL6Z58JjqPAeBz87NH1c3PLTs45J8cTHIspt4shEUghWYgQDXe6JqyMipXGklll+ErFti/xQz70qNeWNRpDw34uWLprtSV7oHh0bW91fSx/96xiK8TRkYq7r6S6s0BYi8swtPWRvdb5A0RBINtsQA4YFiPw3Y5SUoGY12zORiHFuCRiBAWg0ySN5MZ9qVMci7CpFqC21UUGjQV1OgO0KSppFFTSaO2atjfSA/ptzDffg4F7uloVN1R68pwOOZ3nIOEzD79Wuq1pUPdnUFnt3EV413zmeBcyKrEl1Ak71B3aciQVCmYVrREN3BF0AaSrhaLaFe8txs/Z679LHI9E45KlxeNqiPV6ys2WDcYFosBFBaxrMYMvkKbtdpDZHvGMtO+jG8S34iqvXgixetbbIy1sFDCxEB01yf0Xh7NglmkGaa8kodtxk+Zbz+HefYzOajfKNxthwFCWAwSSd5MjrVdwHjX/KB7k12yclC/iYP6TVTp9uKS7UPcy/5Tqz1Em9xAkpJBoWsGBwwbhrpLwwqLN51ily8d3tHqA1qq245NaiFRTaHYNYd9hnVD3aUhI92bj0FNwCXZ41ZkxnrF26Zp4YB+AxNcC5lhX8ZKy7+jai/eSPWOQvb70gcybg0kXesPxDbGIsaiRYINphWcaf0/ZjlOZavpk6OmSntK0GJRE9N2h6PFomvwdn/6tdn0MbPsp5LtKWK0ewrl+p0R90MQG0QdiwFGVjXM7ziHK5v/zATXQiRkSnXbeDvpAZ5K+yUrLf+mxLAlLkUFAJIadF8IuPsIOpnhWIqMTLluJ43ayqHuzpCgSkqwVsMs+2nRO/bGMbnuiYAvtiBeXeLcxD74d6vJF3c00XnMUVe3IM3js1Y0aaoGZbW12+Q/plmhYhe8HeCAfgO12oPoVSPzO86Jur14YeAsFiFWhhi2FVW62QhdoQAcspUdxi8An3fA0fz7MlwQwmIASfSmcGHr7zmm43w0aCnVbef5lFt5K/l+SvRbY3pDH0r2GNYAUOiagVGxHOHoowdJlZnkWATAFuPRly4xlG2mlXhwk+MpIsdTPNTdGTJy3eMBqNLtHeKeRM5AuNJUa/dTpd2HFj3z7GdH3V48ke53g2rSVg3K+QY2K9QAtC3hyyiHL2V3YMI9kjEoCUFX6eEcYxHmChVV8HZ0LtSbTO/jwUWeZ2LQQ0AwdAhhMUCke/K5pPUmcjxFOCQbH5gf462k+0ak/3CjpoJabQkadExxLB7q7gwbxrinkqAm0yG1UarfNtTdGVLsspU9Bl9w/xz76UPcmyFChVz3BAAq41hYqJIaZrWIieVFgjUJrwEw1bEEizc9+jbjhDRvHuC3WAwCsY6DCKVbutkYLZ5V6HdTotuKBi0ntX97xK9KJ/nrV7TLLTFPzOKNZYzFgAVv96+tdk0zG0zvAXCc7VK0av/rcQlihxAWA0CqJ4fzW3+LWUmjSVPFiyl/ZK/xm5EbVCTBNqOv8uU0x0lI6kh9o/0j4Bq2z7D2qA5YDrDJ9BEqCsWuuWR6Coa6O4OOWUklUU3Gi2dQsv8MJKEB3LEK/q3U76FMtwMNWo7puCAmbcYDna5Qg+MqOZDB217C73OxFC2fm/+HGyf57slMcR4fs3aHIwFhbZUbYt62InmOfFCf2woN3o6m8nZ4nyIZNxsT3gvGey7oODfivgiiRwiLGJPoTeHctl9hUi3Uag/xSvKdtGlif3MYbuwzrMUutZOsZDLONX+ouzPkyKqGsa5ZQKer2NFOs7Yq+Fkstl084lcduxIQU82a6i7uCPFHqDtNNL7VXVmd+AoqCpOcx5LvmhyzdocrGlUXrK48WK5QkVQ57itKN2ERu7HRpmngm4Q3ADjetpwkb2bM2h5uWBSfsGiXm2LetjcsxiLa4O3YxFh0W3iLYG3SI7n4IvE5wGcVz3NNjLg/gugQwiKGSKrMadZrSFIyaNbU8FbSAzjljqHu1qDgkVxsNn0IwIKOc496q0WuewJ61YRNaqU2zlenY8mahNfx4ma0ewoF7ulD3Z1BJcsvLOriNBtUKOF++rGbmNZrS9nqt36e1P5tNOrITlyY4s1CQsYh2eiQ2gblnN1Wh2OYRKDrangsRQvAZtNHVGn3oldNnG79CfIIHR8WbxoAVk1jzNsOu0ZR/kyHthXNtQ4PKI9coBwybGaH4XMkZE5p/xFGxRxxW4LIEcIihsy1n0meZyIuyc7bSQ8M+xoUsWar8RMcUjtp3tyj3mpRGCyCtrXPVUSPBqyaRrb4MwCd0H7FUeULG7BYxGua2VBcIa5QsbRYgE98tsstpCjZLLZdEtO2hxuBVfdWTf2gucp2n/zH0hUqvO1Yjw1VUvjA8hh2qZ1sTyEntl8xIi2fAYuFVY69sAi9RkrXitf9JFaCIDwIPDq+NL9As1yDRUnjrLafjVjxOZwRwiJGJHuzgqnwPkt8hlZN3RD3aPBxyXY2+a0Wx9jOR6PqhrhHQ0egunJpnFZXHkjWmt6iTW4gWcniGNvR40uf6R05wiI02DLWaXNdsp2V5qcBmOk4mSLn7Ji2P5xIVrIAaJMH7/eiu7tS7K6f1z9BNJr9k7kBWFRp1zTzkeUJFBSmOk8YkckgOoVF7F2hYpUiFnyuUFmFCRjNWpQoYixiJVDAZ019N+lhnFIHuZ4JnGL9wVHvQTHYCGERI46zXYoWHWW67Ue1T/0W48e0y82kKNnM6zhzqLszJJi9qaQo2Sh4KdOJYj1dccsOPjX/B4BZjpMZ7ZoyxD0aeEyKBbOSiooyIjLDeXEzc1kWY6YkxXTFO0Cpfhsb/VleTm7/QTDAeaSR7PUJi1ZN/aCdU5VUMsYYOOfacWQXJsT0+il4WHhuLpfeOJnC6ckxt1gEKNVv48vEFwBY3HEJUxwjK5g7GLw9AK5QklbluIvzGTszOSoxAFBclMsZ1xRz4fUTo7NYENvkJs3aat6z/B0vHia4FnJy+w+FuBhEhLCIAdnusRS5ZqOg8HnicyM3+1MfcMuOYADVXPuZpHpyhrhHg0+gCFq9thS37DjC0UcnZfodbPf7wp5mvQaz36d4pBKYGLfJjd3qCMQjY8dlMevkbE66qiDmfvQBvk54jSrtXgxqAue2/XJEFs5LDrpCDa6F+6yfTCAt18Tp1xTH1hVK8jDpWN+kePZp2QM2NgC2mj5mo+l9AJa1f4+p9hMG7FyDiUbVkaAmAQPjCnXM7GkUz0llyfIxUbtCTRrvs8JqdXLUrlCpo4wUzU6J2Zgp1+/kA8tjePEwyXksZ1p/hk41xKRtweERwiIGBFKb7TGspkVbM8S9GXoO6DdQotuCBh2nWX981LlE5Xniv1bBYPCF+VlqtSWYVAtntV2LXjENdZcGjFTvKACaB6lWwUCTlNJ5rQbCYgG+yca7SQ/TrKnGoqRzftv1JHpTB+RcQ0UwxkIePItFV2KbFSrEf9+rDtjYCLAq4SU2Gz8CYKntOyyyXRz3K9MBa4VLcuCUYp/8xWJJDD6P+vrInWMnWovFudeN5/hLRpM3PnYB1wcMG3jf8g88uClyzeailj8clYudg40QFlGS4s2m0D0TFYV1Ce8MdXeGBxKsNP+HDqmNTO8YlrRfPtQ9GlQCRdCqtEJYHA6v5OE9y6N0SG1keQs4u+26ERvMnRasrlw9xD2JEZrYTCiOhEO28WbSfbTJDaR6c7iw9XcjZmIgqRJJSgYAbYPoCtWVWMbIhLblExYDHFktwZeJz7PW9CYAc+1ncFbbdRgVy8CedwCxKP6MUHLjwHg/hF6jKF2hZLmzg9Fc69D028mZxqj61JWDhk28lnw3NqmVDO9olrfcxgz7UohzATqcEcIiSqbZTwSgVLftqAzY7g2bpoUPLY+jojDNeQKzO0ZegF1PGBVzcBJZpds3xL0Z/lg1jbyZfB9OqYM8z0S+1forDErCUHcr5nRaLEaGsJA0nc9jHbzdFaumkVeT76JFriVZyeTi1psY65w1oOccDMxKGhq0ePEMSL2CvjJQwlBVYld5+7BI8E3im7xveQwPbsa6Z3JF8+1xG/SfqKQAYJNbBuYEIfPpaGMbpJAZZDTXOrQfblfsi8nW6g7yYsofKdNtR4ueE2xXcnHrH8h2F8X8XAIhLKJCVjVMdi4GYKtp5RD3ZvhRrt/JqoRXADiu4xKmOpYMcY8GnixPIeCbQDpl29B2Jk5o0JbxVtL9wSweF7X+gZQRsiodICAsmkaIK5SsCV2pHPjJY7umiVdS7qRSuweDmsDZ1utYav1uXLvPJXl91gqr3Djg4uxwDJRVYVAsFiHsM3zDyyl/plFTQYKazFnWazmn9eekxlngf4KSDECH3DowJwi1WEQtLDrvA9EE6ocKFLc79sICfIudbybdz+eJz+KSHOR4irmk9SbOavsZOe7iATnn0YoQFlEwxj0No2qmXW6hTLd9qLszLNmU8D4b/NldlrZ/l7kdZ47IvOMBAsKiVlsypP2IN2p0B3g1+S+0y02keXO5tOUWJjkWj4ixolOMQfeGkWKxkENSww/W5NEuW3kj+V42GT8AYKpzCVe0/IlJjsVx6VdvVgauCFpfUZSBm/wPRoxFVxq0ZbyQcjsbTCvw4qHQPZPLW27nVOvVwToyw50Bt1jIsXOFkkK+dtGMI4Oh0wV2ICwWQSSVraZPeCb19+wwfImKQpFrDhe33siFLb9nouPYEeuOO5iIyiFRMN7pKwK3X79uSFechjurE15GQmKO/XQWdVxEmjeXz8zPjIjsOF0JCIt6ISz6TaO2kpeS7+DU9h+R757MKe0/YLJzEZ8lPkuzNn5X+lO9PuuLTWrFKcc+GHMoCHOBGMTJoyJ5+cr8IgcNG1lm/T4pSjantP+AOfbT2GB6j32GtWHFtoYzAbE5lG5QAzn5H0jRctjzSh5WJ77CTuOXLLJdTLFrDhOdxzDReQyV2j3sNH7JAf3GYZuxL9FvsbANkMUiXAzE0BUqinFk0HdO5hVl4MdMh9zKSsvTbDK9x2z76UxyHkuuZzy57eNx2a7igH4DB/WbKNfvGJHzlIFGCIsIkVUtY12zANhvWDe0nRnuSLAq8SXa5WaOs13KJOcisj1FfJb4DBX6XUPdu5gSEBZ1QlhEhE3TwhtJ9zLHfgbzO84h3z2Zy1tuZ6/hG9ab3o1LgZGsBFKK1g5xT2KHrI1N0GakVOn28VzqLcywL2We/SzSvfmc2v4jFtsuZpdxFXsNa2jUVg56v/pD0GIhNw9ZHxSvOmCLYkNhsQilRVPLiqRHyPSMYZb9NMY755PnmUhe+0ROwsUh/RZK9dso1W8bOLejCOh0hWoZmBPE0BUqNHg7GuuHKcRiIQ2iH02ztoaVln/zTcIbTHEez2THYpKVLCY7FzPZuRgvbip0uynX7aRKt496bWncLFwMJUJYRMgo9zgMagI2qZVq7YGh7k5csMX0EfXaUk6zXk2qN4fz237LPv06vkl4g+YRkC3HpCRhUdJQUajXlg11d+IWVVLZkLCCvYZvON52GcWuOUxyHssk57FU6Haxy7CK/Yb1eCTXUHe1TwRTig5h5p9YI4f8+EfrThEpXsnNpoQP2GH8ghmOpUx3LMWspDLPfhbz7GfRqKmgRL+VMt12qnT7UaTocvbHGrM/dW67ZggtFsoAWyyGaGyEUq8t4yPLE6xOeIXJzsVMch5LqncU413zGe/yeR3Ua8qo0u2lWrefau1+nxVpiLzrBjV4O8pJcqwsFiZDZyYoaQg+d5umhXUJb7PO9DajPOMZ55zHWNdMkpUsCtzTKXBPB8CNkxrdAeq0JdRrS6nTlvpSRQuPlTCEsIiQMe6pAJTrd4hB1Q+qdHt5NuVmjuk4n+mOpcGb+0H9RrYaV1Kh2xW3bmUZntGAb6VMmE+jx6ppDK44zus4m2LXHPLdk8l3T+bE9qso1+8MThwHLDVjDAhUVx7KlKKxJjR4e6jvfy7ZzvqEd9loep+xrllMdB5DoWsG6d580u35zLWfGZwQ1GoPUqs9RK32EDZNy5D22zwMXKHUAQywHsi2I8GmaWZ9wjusN71DpreAIucsCtzTyfIUkukdQ6Z3DDMdJwPQLjfToCmnUVtBg6aCRm05zZqagV+tVkOFxQBZUUIXBaIUlZIUmyQOJn2IsBjKyF8JqnX7qNbt40v1eVK9oyhwTyfPPYFR7gmYVDOj3VMY7Z4SfIlLstOgKadJW0WzpoZmTTXNmhqsckPczmWiRQiLCBnj8gkLEbTdf1yynS/Mz7HT+CULOs6l2DWXItccilxzaJeb2KdfT6l+G1W6PWH5rYc76f40s42a4e2CEW/Ua8t4L+nvmL1pTHIuYorjOJKVLIpcsyly+VJKtsvNVGv3U6M7QKOmgkZtBR1S27AQG0nK0BdBizWypvPXf0gnAiEokpcDhg0cMGxAr5godM1kjHsqY1xTSVRTuk0IOqQ2mjXVNGmraNL4/rdq6miXmwdlpX04CAvvQMZYDLErVK9IUK8tpV5byje8iVGxMNo9mRx3MaM848j0jMGspGJWUil0zwi+zIsHq9xIq6aOFk0trZo633O5jnZNU0wsqDrViA5fdeiBs1iE1KCJNnhbjpGwMAwTYRGKBM3aapq11Ww2fQiqRJp3FKM848n0jCHTU0CGJx+9aiLXM4Fcf2HcAF7c/nFSj1VupE3TgFVuoE3TQJvciFOyDYvfp4FACIsIMCpmsryFgC+lqiAyGrTlrEh6lFTPKGY4ljHBuQCzksZsx6nMdpyKG6dvdVF3kFrtQeq0pVjlpiFfIe2NNE8+IITFQNGuaQquOGZ4R1PomkmhawZZnkLMSmqYawOAXbLSqK2gRa7DqmmgNXhjrx9U0ZEcdIUaOXVuhpPFoidcsp29xjXsNa4BFdK8eYzyFJPtHku2p4g0bx4JahIJniTyPBPDXqvgxSo3YfVPAKyaBqxyEx1yKza5BZvcikOyRrUaqVX1mFRfhWHrkAdvx+766TS6zrYVUIaRxaI3HLKVfYa17DOsBXzXJtNTQLonj3RvPhmefNK9+RjUBFKUbFKU7KBrTCh2yUq73Oz7r2nyP2+iXW6iQ26jQ7bikNoP+30JWCtckn3AXD1Db3uSNnZZoaKLsehMGy0PG2XRBUn1LUKExPlJqkyqdxQZntGkekeR6s0h1ZtDijcHLTqf1dSb32NzLsmBVW6gXW6hQ24J3lts/ueB+008La4GEMIiAka5xwHQqKmgQ24b4t7EP83aaj43/48vE1+g0DWDQtcMCtzTMSup5Hsmke+ZFDzWjZMWTS3NmmpaNfW+G7cmcANv9t+4h+Z9pAerKwthMaBIPlHaoC1nfcI7aFU9WZ5Cct3jyfKMJc2TS4qShUm1+FynmNytCQ/u4I27Q24L3sg75DY6pFbsshWnZMMh23BItohX9mRVE1yZHkmuUJqQlcrQVcthieT7TjZpK9lh/ALwTR5TvTmkeXJJ8+aS6vU9JnnT0aAjWckMBt33hIKXDtlKh+SbDHTIrTjkduxSOw65HUfIo1224ZTaw4SIWfHFV7gkBy7JPrDv/zDEWljoNSHZfbwqDEeLxRHwSK6gO0wQFRKVVFK8WSQrWaR4s0n2Zvn+K1noVSMm1YLJayHTOwbcPbet4MUuWbHLVv/9xopdavMLj7YBzwgFhKWbjXYOL4cEW0UzjvTaTkEa2uZwR5WU4L0lFEmVsCjppHpHYfGmk6RkhDxmkKgmo1eNhxUeARxSOx1yG3sMa1if8M5Avp2YMejCQq/X85c7/8zZZ5+FJEm8/sYb3HjjzXg88aPKcjy+ao012oND3JORhSJ5OGjYyEHDRv8qYy45nmKyPWPJdheR5h2FDkPQH7YnPLix+1eGfD/0Vv/k0IpdtuGSOnBJdv9/h++/7PvbgytyUeJfFQVhsRhsPJKLKt1eqnR7g9s0qo407yjSPHkke7NIUtJJ8mZiUdIxK2lo0ZGkZJCkZPTpHE6pA4dkC4qNwGPnWLIHJ4mhY8uoJiIj48bps5KMEDTaUFeo4b8q3RWP5KJeW9Y9yYIqkagkBycASUoGSd50EpVUEpVkEpQUElQLMhrMSgpmUuhLYh0VJTiGHLIteJsZyiBhCGSFit3k36jtdGlRVXXIAvtjjuSL0bBpmqlkT/g+FfSqCYuShjnw35vqf+5zqTIpSZhUMzIaEtUUEr0p4B3d6+lsUsuAvpcgUX53Qy2XUjQWPG3nVHTYWiz6gSqpPpcnTUOP+zWqDos3HYuSTqKSQqKS7H9MISHkuRYdRtWM0WvGqCQO8ruInEEXFjffdCMTJoznhBOXoqoKf3/0Uf7w+99x+5/uGOyuREy2x1elsUYnskENGBJBs+NOvvRtUmWSlAyfydGTg0VJx6KkkaikYfGmkqAmo0WHRUnDQlqffvBDUVBwSXbc/kmhR3LhwYVHcuGWnL6/JRduXHglF27/3x5cyGjQq0a8eEaUy0u84pXcPU8c8VkRQm/gCUqSb9KoJvu3JWNQEn03dNV3MzeoCRjUBCCz3+MK/NaKYb6w3x/CVhVH0PtCUrFpWrBpWqjW7e/lEJkEJYkENTk4KUhQkjEqvvHiezRj8j8a1AQkZP94Moct4g9FJXaNpAk+V5XYpgvWa0PThkrDKnh7wJB8rkuNciWN9L6oJKsaTIoFk2ohQUnCpCT5HlXfY4KShFFNRKca2W76dAD7G2Kx0EQpLEJ9oaLQAzpN51RUGoq0UIOMV3LToq2hhZreD1J9vzuB3yhbHHnHDKqwkCSJK6+8gksuXU5Nje8DveXWW3nn7be44893oijDf3VDUiWyPWMBYbEYbFRJCQbMlei3dNsvq1oSlWRMiiXsh92oWDCpZoyKGb1qQq8auz1KyMjIvomBGvnKQLOmWuS5HuYokherprFPFY8lVfKLisSQiWMiBtW3gtQ5hnoaV51j64B+4yC8s8FDExK8HUeeCzFBlRSf+KCFekqPeLysajCoCf77UCJ6JQGjmohG1fV4HxtoDFpD8Hmsg7fDhIU0uMUThzuK5A2Om6FEo9GE/BFdW6FukFIUbYXG5mhGgMUiJkg+S7lT7qCJ+KrfNKjComjsWBISEti8ufNmumPHTrRaLRMnTmTXrvBiaXq9Hn1IRUaz2Txofe2NbzffjV414pIcNA/BapOgdxTJ0+cJYxgq6DCgU43olcDE0IgWA1pVh1bVo1X16FQDGnToVD1a1eDbji64T0bDVuMnA/PmBEOCKqk+9xVskVmiVNCgjcsAvMOhC3FdGPYxFkOMInX61Q9dKbxOQif/sU4JawwRLfLRYrGIM7TaTgUgyUQVBhNmsIhCD4SOyXiKsRD0zKAKi9S0NGw2G253eGRTS0sLmZmZ3YTFL35+Hddf/9vB7OIR8eKbIJTqth21OYpHHJIvKNwtOYdVBVbBCEDqvGeMJHQhwZZIKmL+GD+EWiyIsVVBr+ls2+cKJSwWww2t3CksZFmOTliEJXGIvB29Jj6DtwU9M6jCQlV7/vWRJAlvD8HbDzz4EH//xz+Df5vNZrZvG3zTcSjvJT2KjEYE6AoEgqOWUIsFGhiB2mnEEiosJFmK6QJZWNsSYvFtGBIaKK3TaKP67mo1odaPyC2XodnEjoYYi5HOoAqLxsYGEhMT0el0QauFJEkkJydTV989FaPL5cLlGphczpHSKFKJCgSCoxy9LmSFUcwD4gpDmLtSbC0Whm7B28JiMdzQhgRKa+TogizCgq6jcKvShQoLYbCIewb1EpaUlNLc3MzMmTOD26ZN81ewLuuevUUgEAgEw49QVyiNJMohxRNdV4djW8eiq2gRFovhRqjbkTbK725obEQ0IiW0joWwWMQ/g64Nn37639x6y03k5OSQlZXJbbfeyssvv4LT6RzsrggEAoEgAkInAgbJdJgjBcMNY5grVGwn/93crITFYtgRloEpSotFqLDQybrDHHmkPoVnExPEN4O+1HTv3+4jKTmZzz9biV6vZ8WK97j5llsGuxsCgUAgiJDQCaQQFvGFPiwOIraTf0O3dLPCYjHcCLVYhbpFRYJR11kQUStFLixCrSgiy1z8M+jCwuv1cuONN3HjjTcN9qkFAoFAEAPChAVCWMQThgG0WOi7WSyEsBhuGHWd31dNlBmYQseSVlgsBH5EmIxAIBAI+kXohEIvGQ5zpGC4Yehaa0KKpcVi4NoWxIYwK4Mc+dqyhBQuLKKI1xAWi5GFEBYCgUAg6DNhdRAQrlDxRvfMTTGMsdCIytvDHVOIsIgmxqLrfSAakaIXWaFGFOISCgQCgaDPhE4CAF+BPEHcYNB2Tixj7XYSGswraYQr1HDEqI2RsNB1FRbRuEKFpq8WFot4RwgLgUAgEPSZriuV683vDFFPBJEQvjosoVX1hzm6f3QVLcJiMbzQa/RhYiIaYREqUCC6tNNhglTMSuMecQkFAoFA0Ge6Cot2XeMQ9UQQCcYu1bGdki1mbesH0M1KED2h8RUQnftSV2Ghi5UrlLBYxD1CWAgEAoGgz3QVFrJYYowrQif/bo0dm6YlZm2Hxlh4NU4Qc8RhhUkXHg9l17ZG3Fa3GIuo0s2KrFAjCfGLIBAIBII+03VCEW3KSsHgEuquhBxbi0Lo2GjXNsW0bUH0dLUyHEhYH3lbXawfNm1zxG2FxlhUGHZH3I5geCB+EQQCgUDQZ7pbLKKr3isYXEItFtFWXu7edufY0IhxMezoKgbQeCNuq+t9YJ/pm4jbCh2TzbrKiNsRDA+EsBAIBAJBnwlNVwrCFSreCI2xiPW1C3WFirVoEURPV2ERy3SzaoQiRSNpwly0ZDFu4h7xiyAQCASCPmPSJYT9LSaQ8UWoO0zMhcUAihZB9HR1hYpl8Hak94EkY1J4O2LcxD3iCgoEAoGgz6SaUsP+FhPI+CIl5PrFWhRajJbgc7HyPPzoGrytiUJYdI+1iux6p5hSwv4WrpXxj/hFEAgEAkGfSUtMC/tbWCzii/SQ6xfra5eekN7ZthCcw46uwkIbxfVPjpGlIdmUHN6OSAYR94grKBAIBII+k57QRViICWRckRZy/WJpbZIlmdSEgbOGCKInret3NwqLRaYlKyZtdbdYiPtJvCOuoEAgEAj6TOjkEYTrQjyhkTTdV4hjdP1STClhYkJMEIcf2ZbssL+jibHIMmfGpC0hLEYe4goKBAKBoM+khbi7gHBdiCdSElK6TdzkGF2/9MQu40IIzmFHTlJO2N/RWJUyYyQsugpdISziH3EFBQKBQNBnMvwTSLvbDgiLRTyRkZgBQIerI7gtVhO5QNvtznZAuEINR3L8Fovy5nIgWouFzxWqob0BAJ0msrZyk0YBYHPZABH0PxIQwkIgEAgEfSJRn8jo1NEA7K/fD8RuxVsw8EzMmgDAwcaDwW3RTC5DGZ85DoDS5jJArDwPR3KTcwGobPUVoYtU/Bm0hqBbVUVrBRD5OJqYNRGA3bW+itsiZiv+EVdQIBAIBH1ias5UZEmmoqWSBptvpVJMBOKHaaOmA7CpcnNwW6wEwIzcGQBsrtgECIvFcKM4o5gUUwp2t539DQeAyMXAtJyp6DQ66tvrKW/2C4sILBYaWcO4DJ8g3Vm7CxCCdCQgrqBAIBAI+sSyCUsB2Fq1Ba/iq7QbTWYZweChlbUcX3Qc0Dn5h9hYnBL1icwbPQ+AjRUbASEshhtLio4HYGPFpqAbY6TpZo8rDrS1EbfiBkAn6/rdzqLCRRh1Rpo6mihtKgXEuBkJCGEhEAgEgiMyKWsSZ089G4A3tr2JoiqAWGGMFy6fexmZ5kwa2htYdWh1cHssgqy/t/B7mA1mDjYeZHPVFsA3LkQA9/AgLSGNy+ZeBsBHez7Co3iAyCwW2ZZszp9+HgDv7/og2JamnxYLjazh+wu/B8CKne8FFyrE/ST+EVdQIBAIBL0yNm0sP1n8Yx6/9DEMWgNfHviSjRUb8fqFhXCFGt5kW7L53bIbuG7JdQA8tvpxPIonOCGMZiKXlpDGH07+Pd9d8B0A/rnqn7g8ruD+SNxjBLFl7ui5PHHp46QlpHGg4SDv7eqcxPf3+kzJnsLfL3oUs8HM9urtfHXwKzxen8WiPyIlxZTCvefew/Tc6bQ723l2w7MoakBYCDEa74hvvUAgEBxlaGQNSYYkLEYLFoOFJGMSSUYLFoPvMTc5l9EpYxibXhhWVGtt6Tpufu8WAJTACqNwXRg2ZJozmZA5nvGZE/yP4ylIKwiKh/+ue4bXt70OgMfrQStr0Wn658KSl5zH4rGLWDR2EQsLFgZf/9jqx1i579MwVxa9Ro/T4+xz2xISKmq/+iMIRyNpmJQ9iQVj5nPqpFMZnzkegBprLde/dT1exdtpZejDJF5CYmHBQpbPuZTj/K501W3V/P6dP6CiBtvqyzhKT0znirmXc+HMC0nUJ+LyuLh5xS3Ut9ejqL7rLktSRO9bMHwQwkIgEAjiEFmSMRvMJBmTSDYm+/6bksMEQvDRLyAsxiSSDBYS9Al9Po/D7WBT5Sbe2PoGK/d9Gpz4ubwB3+r+/YwEJrMBP29B/9HKWorSixifOb5TSGSN71ZsLMD6svU8/vUTwfgHAJfXhVFnRK/RH/ZcGlnDrLxZHF90PMcXHUdBWkHY/m1V23j4y0eCbXsVL4qqIEvyEdtOT0xn2filLCleQlF6EVn+as5tjjZKm0rZUrWVVYdWsaliU3ACKwhHQmJ85njmj5nH3NHzmJM/G7PBHNzv9Dh5a/vb/HPVP2l1tAL0yWKh0+g4a8pZXDH3csamjw1uX7HzPf722d9otfva8niP7FaVn5LPt+ddxdlTz0av9Y2JPXV7+OP7t7O3fi+AsFiMIISwEAiGMRpZg0lnwqg1YtQZw54btUZ0Gi1aWYtG9j36nmt8zzUhz/3bZUlGAiRJRpZkZElC8m+TJdm/PbBNCj6XJcm/6ikFn0uS5D/G/1yS8CpevKrie1Q81Lc3cLDxIPvq93Go8RBe/4+H4PBoJA25ybkUphWSk5RDljmLLHMmWZYsssxZfgGRFLU/cruznTZHG1an1f/YjtXRRq21lrLmcspbythbvw+3X0SE4vL6VqL1WsNhzzEqaRSnTDyZuflzmZk3MzjpsbvtVLZUsrN2Jzuqd7C5agsHGw6KFesuaCQN4zLHMSV7CpNzJjMlezLFGcU9rhB7FA+lTWXsq9/Lvvp97K3fx566PTR1NHU7NuCy1NtKc5IxieVzlnPBjAuCtUsC59hSuYXVh1bz1cFVHGg80O21bq8bg9bQa9vjMsbxw2N+wNIJS3scw0nGJKbnTmd67nSunHcF7c52vjz4FSv3ruTrkq9xeBw9f1hHCammVJZNWMaCggXMyZ/dTVC2OdrYUL6BNSVr+HDPR1id1rD9R7JYLBu/lF+d9KtgStl2ZztvbX+blze/THlLedixncHb3aeTBq2BHy/+MZfPuSxoydpSuYWn1/6brw5+FXasV/G7Vh4mmYCERIophWRTMm6vm1ZHa7BuimD4IITFMEFCwqQzodPq0Mk6dBr/f1mHVqMNPtdpdEj+iV3npM83sdMEJ4b+fYQfI8sycsi2WNLmaKWqrZqq1qoef8QE4eg1esamj2VU0ihyLDmMSsoh05JFsjGZFJNv9TnJmNSvleXhjsPtYE/dHnbW7mJXzU521O6krKlMTCSBHEsOCwsWMH/MfMZnTmBM6ug+u6gExEGbo41WR6tPIDistDmtWIOiwYrV2UabwxoUEjanLSqhF7BYGLQ9r0oXpxdz7ZKfsWjsoh4njyadiXGZ4xiXOY5zp50LgNVhZWvVVjZXbmZz5RZ21u7slyvNSEGn0bFgzAKWjj+JJcVLSE1I7XaM1WFlb/2+oIjYU7eXg40HcXldPbTYncBxPV2/k8adxI2n/iE4YW3uaOarg6v46tBXrClZEyxm1hu9CQtZkrn62Kv5/jHfC46JrVVb+WTvJ2yu3Ex1Ww2qqpKWmMa4jGIWFixk0djFZCSmc8bk0zlj8uk43A5Wl3zNqoNfsbVqGyVNJUfFPUSv0XN88fGcNeUsFo09NsxCYHPZ2FyxmXXl61lXto599fuCyRV6whsI3u5isZCQ+NVJv+KyOcsBn/vUc+uf5Y1tb9Lh7ujWDoRYLLq0lWRM4v7z7mNm3kwAvjr4FU+v/TdbKrf02E6nxaL7vSLTnMkPFn6fpROWhrlmgq/YY2lzKYcaSyhpOsShxhLKmssobynv83dBEFuEsBhA9Bo9o1NH+1YdLTmkJ6aTkZhOemI6FoOFRH0iifpEEvQJI2oC2eHqoLylgoqWcipaKihvqaDc/9znS9n7DW8kIiFRmFbI1FFTmZozlak5U5iQOaFfgXMexYPD7fD993Q+ur1uPIon6DfrUTx4vB68qheP19NlnxdVVVBQfY+q6rsWqup7jhLcjn9f6LGqGvIcBdX/uuBr8KWu1MoaNJIGnUbHqKRRFGUUMSFzAmaDmZl5M4M/NOCbFO+p28Ou2t2Ut5RT3VpNVVsVNW01I3pV0mwwM2/0PBYWLGTBmPnd3EvAJ8RKm0upbK2izlpLfXs9tdY66tvraOpoDoqIoXIRcfkn/D25u5w//XxuWHZ9cIx/U/oNXx74ik2VG6lsrcLj9ZCemE5RehFTc6b6VqdHTcNitLC4aDGLixYDvnFf0VJBSVMJJU2llDaVUtdeR317PfXt9d1WYuOZBF0Ci8YuYun4k1g0dlGYO4vVYWVn7U521uxiZ81OdtftprqtOqrzBSZdui7X7+JZF3PDsusBONBwgCfXPMXKfSuD7jP9aTt0bEhI3HTqjUER+dGej3jy66d6tHg025s50HCAD3Z/iITEtFHTOGn8SSwdv5T8lDyWjj+JpeNPAnz3kP0N+ylrLqO0qZSKVl+NlUZbIw3tDXF/H5mZO4OzppzFKRNPwWK0BLfvqN7BZ/s/Y335BnbW7uzX9enNYnHtkmuDouKpNU/x5JqnerRWhuLuIcOULMncdfZdzMybSZujjVveu7WbhaIrgWQQXWO2po+azsMXPhT8PiiqgtVhRafRBedOk7MnMzl7ctjrFFWhuq2asuYyKlsqqbc10NBeT317A/W2epo7mml3tsf9+BiOCGERQ/KS85g/Zj6z82YxI3cGeSl5EbkqBCaHbq8bt+L2PXo9eBS3f9IYmAAGJnedE0CvooRN/pTgpDAwkfQGJ459XeVR1cMfJ0kSqQmp5CblkmXJIkGfwMSsCcEqr6F4FS8t9haaO5pp7GiiuaOJNkcbHW47HS4bNlcHHa4OOtwdONx23CGfg8fr6XwM2aaoSrf/gc8l+DiIK1o5lhwmZU/yi4ipTMmZHDZJCNDc0UxFSwU11hpqrLXUttXSYm/xTxhbabG3YnVa6XB1xL1/sYTEmNQxTM6ezJQc34/ApOxJmA1m5o6ey9zRc7u9xu6202JvCf5vtbfS4bbjcNuxu+3Y3Q7s/r8dHqf/e+MOE1gexeP/7nT+9yresHEROma8qrfb2InFeErUJzIlZwrzRs9lwZgFTMmZEhbk6lE87KjewTel37CtejuHGg9Ra60d1iuxAVearq5QF828iN+dfAMAn+//nAc+f7Cb+wT4qv9Wtlby5cEvAd8kZ3zmeGbmzWRW3kxm5c0i05xJYVohhWmFPfbB4Xb43SFstLvaaXdYaXe1Y3PacHicuLwuXB4nTo8Tp8eFyxt4dPnvHV48ijcYF+BVPCGufF68aug+n0APjAnw3RtV1OCj71/n3z1u899PAyvzc0fP5YTiJSwsWIgh5LOss9bx2f7PWLnvUzZVbIq5G2Hg+oVaLOaNnsdvTvo1AC9uepH7Pru/XxPWYNuB+JsQi8WV867g3Gnn4lW83Pb+H3lv13t9aktFZVv1NrZVb+OhLx5iQuYEThp/EnPyZzMlZwpmg5lZebOYlTerx9d3uDp8FjqXDZvTRoe7A5vTRrvLhsvjxOV14/a6uj963L5xorjxKop/HPhcPRVFwat68Cq+sRAcJ4rveWC8eFXfttD7SOA99fhe/ftzknJYVLiI0yadGqx0Dz4LwoqdK1ixcwUlTSV9+vx6oqcYi8VjF/Ht+VcBcOt7t/LuzhV9aitgsQi91t+Z/20WFMynw9XB1S9ew/6G/UdsR1G6Z5krSC0IioodNTt59MtH2VixMfh7qNfoGZU0isL0QsamjWWs/15RkFaA2WAmLzmPvOS8I/bf6rTS7mwP/t46vS6cHqd/fLh89xKP/17ideH2uvz3A2/IvcLTwzavf87m6XKf8fY4Zwn8/gR+o4J/q14cbscRLYXDBSEsoiTJmMS3pp3LaZNOY1L2pG77W+2twVXHRlsjjf6VlFZHGzaXjQ5XR/Cxw92B2+uO6xV9raz1Z5TJJz9lNKNT8hmdMpr8lHzykvPQarSk+6024wa5b71NEkOfB+jpxt/Tj0LnNh8JOlOP1ie7287Oml3sqNnh+1+9gxprTQzf3fBGRaW0uZTS5lLe3/0+4JtIFqYVMjlnMhMyJ5CbPIpRSbnkJediNpgx6UyYdCZGJY0a4t73TE/jKRB3AoQ978k6dajxEGvL1vJN6Vo2lG+Imx+NAM6AK03IqvTUnKn8+qRfAfCvNf/i76v+0ef2vKqX3XW72V23mxc3vQhAljnLLywKKEwfy+iUfDITM8kwZ5BiSvHFGumMZFuO0HicUNZcxqf7PmXlvk/ZWbNzQIVlV4uFQWvg9jP+iEbW8Nb2t7hn5b0Rtx1IQRoI1M1NyuWaRdcA8NeV9/RZVPTE3vq9wYBfjaShKKOIsWmFjEktoCCtgFFJOaQnpJNhzsDkvx/Hs0eAzWXjk70rWbFzBRvKN8RkTHRaLHz3JVmS+dWJvu/tCxtf6LOoCG0rYLGwGCx8x59++O5P/tonUdFTOwA3LLsBs8HMpopNXPvqdd2sCy6vK/i78jmfh+1LS0hjTOoYCtIKyLHkkGnOICMxg0xzJpnmTJKNyb4YRI2W1ITUHt0NhxMvbXqJv668Z6i70SeEsIiQVFMq31nwHS6YcX7wphUIattYsYnNlZvYU7eXFnvL0HZ0kPEoHsqayyhrLuu2TyNpSElIIS0hjbSEVFJNaaQnpmE2WEj03/wT9InByblRawxmkNFpdGg1OnShf/czVaLsjzUZaNxeNwcbDwVFxPbq7ZQ0lojA5S54VS8HGg/06AqRqE8kxZTS5X8yRr/YMAUC2XUmTFojeq3BPx46g9i1/ueBsRL43xmjJIc972/F1/6Op8rWSrZWbeOb0m9YV7aOWmttv8433Ai4QulCVryvX3Y9Oo2Oj/d83C9R0Rt17XXUtdextmxtt316jZ6MxAySjEmYDWYsBgtmgxmzwUyiPhG9Vo9Bo0evNWDQ6tFr9Bi0Bt/fGj0aWeP/r0Xjv/6ypPG58vkTHWj8bn2hfwfGkITUKR4lgn/3Z0y4PC521Ozgm9K1fLrv0x6/CwOFq4swvGjmhWRZsqhqreLuT/4ak7YD9+drFl2NUWdkfdl6Xt3yalRth+JVveyr38e++n097k/QJZCWmIZZbyZRn0Cif2wk6hNJNCRi0OjRafToNTp0Wv+jHPJco0cn69DIcth4kGU5OFZC7x/BceI/JnTsdB0Xkj+tauhCRACby8basnV8sf8LPtv/WczddTxBi4XvnrdswjIK0gpotbfy96/6970NBG8HBMFlc5ZjNpjZW7eXFf0QKA637z2adCbA5wK2oGA+Lo+LW967td+fQVNHE00dTWyu3NzrMQm6hJB7R2JwLqLT6DH67xWB+0jovUPnv39og/eQwH3i/9u787Cq6n2P4+/Fhg0KTsh0uyqWCCYmOeGTE9po1wa15+l00uqm1unpmHWbTrfUtLLRU5r3lHZy1vRctTS1o5Y5cLJrIo44IpIosEFFYIPIeP9AthDaBje496rP63n2I/5+a6/14/nutdf68huWd83yi/G/tMBKzc+DV/X5rxcXTLF4WS7Oma35r5n+4KzEop4MDIZ1HcrY/mNp7tccgMNZR1ixZzkbj37vWIJNaiurKLvYa3OmQff7yxvE6isV1Zy0fqnslzeXFsPCxe93xxd9rZ+Ny5dX/7GkrIRTuaeuaviAXFJQXEBBcQGnck9d82M7/Txd6XP0izX4q/dwFZUU/abmA0C1ydsXb0zjIuKIDutMYXGhyzemdTt+Mel56aTnpTf6sa7WlZKPqn+r5kO5w6VVoaz4WHx4pNejQOXYelcnzJc4liL2oYVfC26Puh2AGfEzXNpvfRWWFFJ47vKTjn/PHD0W1ZIBgCWJS684SfuK+3JM3va5eH80DIA52+fWq3elavlpPx8/AO6+8W4A1h1a5/J8oispLKkcKZJlz2qU/f9eKbGoh2a+zZg+fBpdr+sKwCHbIT7516dsS93m5pb9vlVOQIYydDMvrtPnqW4ck7cv9liM7DECqBxKkXM+x23t8iTV51R42nSZ6qt6xbaLJci/Ndn2bNYcWOv6vh3zb6zcEz0EX29fDtoOkpR5wOV9i+sccyy8vAnyD6LrdV0pryh3PDyxPqoPYYr+t2iCA4KxX7Cz5dgWJ++s6XxpZWLRxKcJXoYXgy5Ozl9/aEO92yTupcSiHvIv5FNUcgH7BTszf5jFst3LNLxFRH6XLjhW/vEltFko3dp0o7yinGV7lru5ZVIXjqFsFiu3R1b2KNR39acrcTzbwOLDHVF3ALBy70qX9ysN49JD7SzEdRgAwL6M/Vc1mqBqPo23lzcDIwYCsO34NqerSf1S9aFQN//7zbT2b03u+VwS0hLq3SZxLyUW9fTmhjcpLS8l257t7qaIiLhN9VWFqm5Md5/are9Gk6jqsfC3NiUuovLm8rvDGxtk31U3lc19m9MppHJRkx+Oq2ffU1T9QdTby5u4i8nA1uT69TBUqeqx8LF4O5KUTcmb672fqqFQPhYf+nfoD0B8SryGFZuQKROLgIDaS3deK/nl+W5vg4iIu1n8vDCsBk2aNuGurndiWA3i0/6l70azsFZgWA1iI3rRonmLymdH5B1rkPhVeJdf3HcsPk18yLJnYa+w67PhIax+VgyrQVN/f3oG98DwMUi0JV5VfLz9fDCsBiGBIY4V/Paf3l/vfVksFgxr5YTF3h16YVgNDuYc0mfGw9jtzp90brQOCvGwkZ9XFhYWxv59l39qo4iIiIiINI7213dwmlyYKrGAyuSiLhlTYwkICGD/vj10uSnGre2Qq6P4mZdiZ26Kn7kpfual2JmbJ8WvLsc33VCozEzPeKiY3W53e4Dl6il+5qXYmZviZ26Kn3kpduZmlvg1/tPCRERERETkN0+JhYiIiIiIuEyJRT0VFxfz/vsfUFxc7O6myFVQ/MxLsTM3xc/cFD/zUuzMzWzxM93kbRERERER8TzqsRAREREREZcpsRAREREREZcpsRAREREREZcpsagHq9XKX6d+wOFDBzhy+CDvvfcO3t6mexTIb1ZAQABz584mceeOGuXO4qa4ut+9997DN2vXkJqawoGk/bwxeRIWiwWAli1b8vnnn5Fy7ChJ+/fy0osv1Hivs3ppXIZhMHLkCDZv+p6TaT+TlLSPGTOm07x5c0DxM5Oxf36a09k2OnXqBCh2ZvD88//F6Wxbjde4cc8AuvaZRXR0ZxYtXEDy0cNkpJ9k9OhRgHnPPyUW9TBh/GtERnYkbuCt9B8QR0SHCF7971fc3SwBoqKi2LD+n5SWlNaqcxY3xdW9mjVrxmOPPsoHU6cSFXUjw4Y/wJ133sHYsX8GYNpHH2IYBj16xnLPvfcxZMgQHv/Pxxzvd1Yvjatly5ZERUby7LPP0SEikrvuupu2bdoy6fWJgOJnFr17xxIXF0dBQaGjTLHzfKGhIUyaNJmg4FDH6+OPZwC69plB+/bhLPliMWvWriW29y20aRvO4sVfAOY9/7QqVB0ZhkHKsaM8+IeH2LEjAajMMtes/poOEZGUl5e7uYW/b6NHj+Jk2knsdjszZkyne49egPO4VVRUKK4eaNy4Z+jT5xbGjh1H0v69xNzcnczMTADuHjyY8eNfpW+/AQQFBf1qvbjHmDGjuWfIEMY88aTiZwJBQUF89eUKHh4xkvj4LQwe/B+cPn1asTOBeXPnsHLVKlauXFWjXNc+c5g/by4rV67iq5Ura5Q7O788+fxTj0Ud3XD99TRt2pTdu/c4ypKSDuDt7U1UVJQbWyYAs2fPYf2GDbXKncVNcfVMrQMDsdmy6NIlGpvN5vjiBNiZuJOOHTsSEBDgtF6urYCAAPr26cPoUY8zc+Ysxc8EDMPg00/+xpQpb5OWluYoV+zMoXXrQN59521OnTzBkcMHmTbtI1q0aKFrnwlYrVYGDOhPYWEhWzZv4sTPx1m9ehURERGmPv+UWNRRq8BACgoKKCkpqVF+7tw5goOD3dQqccZZ3BRXzxMcHMyDDz7I/PkLCGwVyNmzOTXqz57NwcvLi+DgIKf1cu0k7txB6vFjLF36BYsWLWbd+vWKnwm8/NKLJCUlsW79+hrlip05jHniSW697Q5u6NCR+4cOJ7JjRz752//o2mcC4eHh+Pr6MnLkCP748Ai6xnTj2LEU5s2dberzT7N06qii4vIjxgzDoKy09rh+8QzO4qa4ehZ//6YsXDCfmbNmkZiYSHi7drW2MQwDgNLSssvGr3q9XDvde/QiICCAyMhIJk+aSPv27dm27cda2yl+niMubgD9+vVl6LAHatU5i41i5xlstizHzwcPHuT5F15k65ZNTP/448tur2uf52jZsgWGYTD2mXHk5uYCMGHCRI4lH6FN2za1tjfL+afEoo7OnDmNv78/Pj4+jgzfMAxatGhBVna2m1snV+IsbiUlxYqrh/Dz82PB/Pkk7NzJ9OmVF8XTZ84QGNiqxnatAwMByM7Odlov15bdbicxMZHXxk9g7ZrVfL16jeLnwZ579lliYmI4cvigoyzA359/frOGjIyMWkMqFDvPl5KSgpeXF1lZWbr2ebiioiLKysocSQVAfn4+hefPY7FYTPvdqaFQdZSa+jM5OTnExMQ4yrp0iQbgxIkT7mqWOOEsboqrZ/Dz82PhgvkcTT7K+PETHOV79uwhODiYsNBQR1n3Ht05ceIERUVFTuvFPZo2bUpFRQV79+5V/DzYn556ir79BjBw0G2OF8Djo0Zzz733K3YmFBnZEXtBAZmZNl37PNzRo8mUl5fTrVs3R1loaAgB/v4s+WKJac8/JRb1MHfuPF6fOJ6wsDBCQoKZ9PrrLFu2nAsXLri7afIrnMVNcXWvqqTi8JEjvPLKqzXq8vLyWPHll0x5+y1atWpFeHg4f3n5ZRYsXFSneml8vXr1ZNjQoYSFhuLr68tNN3XhjcmTWbZsObm5uYqfB8vKyiYtLa3GCyAz08bZs2cVOw/n79+Ul196kQ433IDVaiU6ujPTPvqQObPnUFRUpGufhysqKmLBgoV8+OFU2rVrR1BQEO+++w7fbdxIps1m2vNPiUU9TP3rh+zdt58tm79n+//9SGZmJhMmTnR3s8QJZ3FTXN3rvvvuZdCggTz1pydrPeipbdu2/OUvr1B8oZidCT/x7YZ1xMfHO9ZpB5zWS+MqLCxk5MgRxMdv4XhKMvPmzmVrfDyvvjYecB4fxc9zKXaeraSklIiICL7+eqXj3Fu9Zi1vTXkb0LXPDCZNfoMfftjGtxvWkbBjOxUVFTz99FjAvOefnmMhIiIiIiIuU4+FiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIiIiIi4TImFiIg49dijjzB69Khf3aZz587sSkygWbNmDXrs6OjO7Phpe4PvV0REGpYSCxERcapfv35Ot3nrzTeYNm06+fn5DXrspKQDbPvxR5577tkG3a+IiDQsJRYiIvKrPv/7ZwwbNpT33n2H09k2pn7wfq1trr++Pd27d2PZ8hUA9O3Th9WrV/HQQ39g966d/Jx6nFkzPyU4OJhZMz8lNTWF/fv2MGrU4459hIWGsnjRQlKOHSX56GG++nIFbdq0AWDJkiWMePiPGIZxbX5pERGpN293N0BERDzbmCeeJDg4iK9Xr2H27DmX3ebuwYPZujWewsJCR9nNMTEkH01mQNwgrrvuOlYs/182ff8db015m+dfeIFBgwbx989msW7detLT0xk/4TXOF50n5ubueHt706fPLWRkZADw0087sFgsxMb2Yvv2n67J7y0iIvWjHgsREXFZ7969Sdy1q0ZZkyZNePOtKeTl5XHo0CG+/W4jaWknWbr0HxQUFLJmzVoyMjLo1CnKsX1FeQV2u52cnBzWrv2GsrIyAMrLy0lISCA2Nvaa/24iIlI3SixERMRloaGhpKen1yjLzc3l7Nmzl/5/7hypqak1tikoKMTf3x+AyZPfpEOHG4jfuplHH3kEq9VaY9vMTBthYWGN8wuIiIjLlFiIiIjLWrVqSX6+vUZZaWlpre1Ky2qXVTlx4gS33nYHEya+zvDhw9iy+XvCQkMd9afPnKF1YGDDNVpERBqUEgsREXGqvLwCi8Vyxfrc3DwCA1s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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "c1 = \"#8000b4\"\n", "c2 = \"#df87e1\"\n", "\n", "fig, axs = plt.subplots(\n", " len(experiments), 1, figsize=(8, 2 * len(experiments)), sharex=True\n", ")\n", "\n", "for ax, (ng_type, _, state_mon, spike_mon, markov_opsin) in zip(axs, experiments):\n", " ax.plot(state_mon.t / ms, state_mon.Iopto[0] / b2.pA, c=c1, label=\"$I_{opto}$ (pA)\")\n", " ax.plot(state_mon.t / ms, state_mon.v[0] / mV, c=c2, label=\"v (mV)\")\n", " opsin_name = \"4-state Markov\" if markov_opsin else \"proportional current\"\n", " ax.set(title=f\"{ng_type} neuron, {opsin_name} opsin model\")\n", "\n", "axs[-1].set_xlabel(\"t (ms)\")\n", "axs[0].legend()\n", "max_ylim = max([ax.get_ylim()[1] for ax in axs])\n", "for ax in axs:\n", " ax.set_ylim([-75, 200])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Qualitatively we can see that the proportional current model doesn't capture the rise, peak, plateau, and fall dynamics that a Markov model can produce, but is a reasonable approximation if all you need is a roughly linear light intensity-firing rate relationship. We also see that a variety of neuron/opsin model combinations all produce similar firing responses to light." ] } ], "metadata": { "kernelspec": { "display_name": "python3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2 }