From 69de0aedfa3b8bccc0e08e5de731a0d4c325657e Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Thu, 6 Apr 2023 11:54:32 -0500 Subject: [PATCH 1/7] Add visualization practice dataset and template --- docs/src/visualization.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/docs/src/visualization.md b/docs/src/visualization.md index f935a307..556bbf2f 100644 --- a/docs/src/visualization.md +++ b/docs/src/visualization.md @@ -162,3 +162,18 @@ the resulting fluid domain: To open in ParaView: `File → Load State → (select .pvsm file)` then select "Search files under specified directory" and point it to the folder where the simulation was saved. + + +!!! tip "Practice Dataset and Template" + To help you practice in ParaView, we have uploaded the particle field + and fluid domain of [the DJI 9443 rotor case](@ref rotorhoveraero) of + mid-high fidelity and high fidelity simulations: + * High fidelity: [LINK](https://edoalvar2.groups.et.byu.net/public/FLOWUnsteady/rotorhover-highfidelity-particlefdom.zip) + * Mid-high fidelity: [LINK](https://edoalvar2.groups.et.byu.net/public/FLOWUnsteady/rotorhover-midhighfidelity-particlefdom.zip) + + We have also added a `.pvsm` ParaView state file that you can use as a + template for visualizing your particle field with glyphs and processing the + fluid domain. + To open in ParaView: `File → Load State → (select .pvsm file)` then + select "Search files under specified directory" and point it to the + folder with your simulation results. From aa4f547aba5a27cb005b05695b05b162a462c500 Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Thu, 6 Apr 2023 23:15:26 -0500 Subject: [PATCH 2/7] Polish Vahana example --- docs/src/api/flowunsteady-monitor.md | 6 +- docs/src/examples/blownwing-asm.md | 2 +- docs/src/examples/rotorhover-aero.md | 2 +- docs/src/examples/vahana-monitor.md | 3 +- docs/src/examples/vahana-run.md | 114 +- docs/src/examples/vahana-vehicle.md | 6 +- docs/src/generate_examples_blownwing.jl | 2 +- docs/src/generate_examples_rotorhover.jl | 2 +- docs/src/generate_examples_vahana.jl | 67 +- examples/DEPRECATED/DEPREcircularpath.jl | 328 --- examples/DEPRECATED/blownwing/blownwing.jl | 88 - .../blownwing/blownwing_blownwing.jl | 331 --- .../blownwing/blownwing_isolatedwing.jl | 475 ---- .../DEPRECATED/blownwing/blownwing_noise.jl | 336 --- .../blownwing/blownwing_postprocessing.jl | 81 - .../blownwing/blownwing_singleprop.jl | 311 --- examples/DEPRECATED/heavingwing.jl | 347 --- .../zawodny_dji9443_spl_4800_01.csv 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mode 100644 examples/DEPRECATED/windcraft/windcraft_kinematics.jl rename examples/{DEPRECATED/vahana2 => vahana/oldvahana}/run.jl (100%) rename examples/{DEPRECATED/vahana2 => vahana/oldvahana}/vahana2.jl (100%) rename examples/{DEPRECATED/vahana2 => vahana/oldvahana}/vahana2_geometry.jl (100%) rename examples/{DEPRECATED/vahana2 => vahana/oldvahana}/vahana2_kinematics.jl (100%) rename examples/{DEPRECATED/vahana2 => vahana/oldvahana}/vahana2_monitor.jl (100%) rename examples/{DEPRECATED/vahana2 => vahana/oldvahana}/vahana2_postprocessing.jl (100%) diff --git a/docs/src/api/flowunsteady-monitor.md b/docs/src/api/flowunsteady-monitor.md index c88ef950..6ac0ae0b 100644 --- a/docs/src/api/flowunsteady-monitor.md +++ b/docs/src/api/flowunsteady-monitor.md @@ -63,7 +63,7 @@ FLOWUnsteady.generate_aerodynamicforce_parasiticdrag FLOWUnsteady.calc_aerodynamicforce_unsteady ``` -## Wake Treatment +## [Wake Treatment](@id waketreatmentapi) Since the full set of state variables is passed to `extra_runtime_function`, this function can also be used to alter the simulation on the fly. In some circumstances it is desirable to be able to remove or modify particles, @@ -84,13 +84,13 @@ monitor_states = uns.generate_monitor_statevariables() monitor_enstrophy = uns.generate_monitor_enstrophy() # Monitor pipeline -monitors(args...; optargs...) = monitor_states(args...; optargs...) || monitor_enstrophy(args...; optargs...) +monitors = uns.concatenate(monitor_states, monitor_enstrophy) # Define wake treatment wake_treatment = uns.remove_particles_sphere(1.0, 1; Xoff=zeros(3)) # Extra runtime function pipeline -extra_runtime_function(args...; optargs...) = monitors(args...; optargs...) || wake_treatment(args...; optargs...) +extra_runtime_function = uns.concatenate(monitors, wake_treatment) ``` Then pass this pipeline to the simulation as diff --git a/docs/src/examples/blownwing-asm.md b/docs/src/examples/blownwing-asm.md index f128dc6f..5c05be38 100644 --- a/docs/src/examples/blownwing-asm.md +++ b/docs/src/examples/blownwing-asm.md @@ -1,4 +1,4 @@ -# Actuator Surface Model +# [Actuator Surface Model](@id asm) The aerodynamic solution computed in [the first section](@ref blownwingaero) was intended to be a mid-low fidelity simulation, which modeled the wing diff --git a/docs/src/examples/rotorhover-aero.md b/docs/src/examples/rotorhover-aero.md index b5fcd3b9..49d54cdb 100644 --- a/docs/src/examples/rotorhover-aero.md +++ b/docs/src/examples/rotorhover-aero.md @@ -521,7 +521,7 @@ particles (right). high-fidelity simulation. -In [examples/rotorhover/rotorhover_postprocess.jl](https://github.com/byuflowlab/FLOWUnsteady/blob/master/examples/rotorhover/rotorhover_postprocess.jl) +In [examples/rotorhover/rotorhover_postprocessing.jl](https://github.com/byuflowlab/FLOWUnsteady/blob/master/examples/rotorhover/rotorhover_postprocessing.jl) we show how to postprocess the simulations to compare ``C_T`` and blade loading to experimental data by Zawodny *et al*.[^1] and a URANS simulation (STAR-CCM+) by Schenk[^2]: diff --git a/docs/src/examples/vahana-monitor.md b/docs/src/examples/vahana-monitor.md index aac9a0a5..92afbdf9 100644 --- a/docs/src/examples/vahana-monitor.md +++ b/docs/src/examples/vahana-monitor.md @@ -84,7 +84,8 @@ function generate_monitor_vahana(vehicle, rho, RPMref, nsteps, save_path, Vinf; nsteps; save_path=save_path, run_name=monitor_name, - figname=monitor_name) + figname=monitor_name, + save_init_plots=false) push!(monitors, rotors_monitor) end diff --git a/docs/src/examples/vahana-run.md b/docs/src/examples/vahana-run.md index 503d27b2..fcf0c681 100644 --- a/docs/src/examples/vahana-run.md +++ b/docs/src/examples/vahana-run.md @@ -1,5 +1,10 @@ # [Run Simulation](@id vahanarun) +A mid fidelity resolution makes the computational cost +tractable and possible to be run the full maneuver (30 seconds of real time) +overnight on a laptop computer. +This is a video of the full maneuver in mid fidelity: + ```@raw html
+
+``` + +As a reference, here are the parameters that we have used for the mid and high +fidelity simulations: + + +| Parameter | Mid fidelity | High fidelity | Description | +| :-------: | :----------: | :-----------: | :---------- | +| `n_factor`| `1` | `4` | Factor that controls the level of discretization of wings and blade surfaces | +| `nsteps` | `4*5400` | `8*5400` | Time steps for the entire maneuver | +| `t_start` | `0` | `0.20*ttot` | (s) start simulation at this point in time | +| `t_quit` | `ttot` | `0.30*ttot` | (s) end imulation at this point in time | +| `lambda_vpm` | `2.125` | `1.5*2.125` | VPM core overlap | +| `vlm_vortexsheet` | `false` | `true` | Whether to spread the wing surface vorticity as a vortex sheet | +| `vpm_integration` | `vpm.euler` | `vpm.rungekutta3` | VPM time integration scheme | + + +```@raw html +
+``` + +Along the way, in this simulation we exemplify the following advanced features: +* Defining a variable pitch for rotors between hover and cruise +* Using the [actuator surface model](@ref asm) for wing surfaces +* Defining a [wake treatment](@ref waketreatmentapi) that speeds up the + simulation by removing particles that can be neglected + +```@raw html +
+``` + ```julia #=############################################################################## @@ -26,22 +76,25 @@ * License : MIT =############################################################################### + + import FLOWUnsteady as uns import FLOWUnsteady: vlm, vpm, gt, Im -include(joinpath(uns.examples_path, "vahana_vehicle.jl")) -include(joinpath(uns.examples_path, "vahana_maneuver.jl")) -include(joinpath(uns.examples_path, "vahana_monitor.jl")) +include(joinpath(uns.examples_path, "vahana", "vahana_vehicle.jl")) +include(joinpath(uns.examples_path, "vahana", "vahana_maneuver.jl")) +include(joinpath(uns.examples_path, "vahana", "vahana_monitor.jl")) -run_name = "vahana-example" # Name of this simulation -save_path = run_name # Where to save this simulation +run_name = "vahana" # Name of this simulation +save_path = "vahana-example" # Where to save this simulation paraview = true # Whether to visualize with Paraview # ----------------- GEOMETRY PARAMETERS ---------------------------------------- -n_factor = 4 # Discretization factor +n_factor = 1 # Discretization factor add_wings = true # Whether to include wings add_rotors = true # Whether to include rotors +# Reference lengths R = 0.75 # (m) reference blade radius b = 5.86 # (m) reference wing span chord = b/7.4 # (m) reference wing chord @@ -49,7 +102,7 @@ thickness = 0.04*chord # (m) reference wing thickness # ----------------- SIMULATION PARAMETERS -------------------------------------- # Maneuver settings -Vcruise = 30.0 # (m/s) cruise speed (reference) +Vcruise = 15.0 # (m/s) cruise speed (reference) RPMh_w = 600.0 # RPM of main-wing rotors in hover (reference) ttot = 30.0 # (s) total time to perform maneuver @@ -62,10 +115,10 @@ mu = 1.81e-5 # (kg/ms) air dynamic viscosity # NOTE: Use these parameters to start and end the simulation at any arbitrary # point along the eVTOL maneuver (tstart=0 and tquit=ttot will simulate -# the entire maneuver, tstart=0.25*ttot will start it in the middle of +# the entire maneuver, tstart=0.20*ttot will start it at the beginning of # the hover->cruise transition) -tstart = 0.25*ttot # (s) start the simulation at this point in time -tquit = 0.35*ttot # (s) end the simulation at this point in time +tstart = 0.00*ttot # (s) start simulation at this point in time +tquit = 1.00*ttot # (s) end simulation at this point in time start_kinmaneuver = true # If true, it starts the maneuver with the # velocity and angles of tstart. @@ -78,7 +131,7 @@ VehicleType = uns.UVLMVehicle # Unsteady solver # VehicleType = uns.QVLMVehicle # Quasi-steady solver # Time parameters -nsteps = 2*4*5400 # Time steps for entire maneuver +nsteps = 4*5400 # Time steps for entire maneuver dt = ttot/nsteps # (s) time step # VPM particle shedding @@ -91,26 +144,26 @@ unsteady_shedcrit = 0.001 # Shed unsteady loading whenever cir # Regularization of embedded vorticity sigma_vlm_surf = b/400 # VLM-on-VPM smoothing radius sigma_rotor_surf= R/20 # Rotor-on-VPM smoothing radius -lambda_vpm = 1.2*2.125 # VPM core overlap +lambda_vpm = 2.125 # VPM core overlap # VPM smoothing radius -sigma_vpm_overwrite = lambda_vpm * (2*pi*RPMh_w/60*R + Vcruise)*dt / p_per_step -sigmafactor_vpmonvlm= 1 # Shrink particles by this factor when +sigma_vpm_overwrite = lambda_vpm * (2*pi*RPMh_w/60*R + Vcruise)*dt / p_per_step +sigmafactor_vpmonvlm = 1 # Shrink particles by this factor when # calculating VPM-on-VLM/Rotor induced velocities -vlm_vortexsheet = true # Whether to spread the wing circulation as a vortex sheet -vlm_vortexsheet_overlap = 2.125 # Overlap of the particles that make the vortex sheet -vlm_vortexsheet_distribution = uns.g_pressure # Distribution of the vortex sheet +# Rotor solver +vlm_rlx = 0.2 # VLM relaxation <-- this also applied to rotors +hubtiploss_correction = vlm.hubtiploss_correction_prandtl # Hub and tip correction + +# Wing solver: actuator surface model (ASM) +vlm_vortexsheet = false # Whether to spread the wing surface vorticity as a vortex sheet (activates ASM) +vlm_vortexsheet_overlap = 2.125 # Overlap of the particles that make the vortex sheet +vlm_vortexsheet_distribution= uns.g_pressure# Distribution of the vortex sheet # vlm_vortexsheet_sigma_tbv = thickness*chord / 100 # Size of particles in trailing bound vortices -vlm_vortexsheet_sigma_tbv = sigma_vpm_overwrite +vlm_vortexsheet_sigma_tbv = sigma_vpm_overwrite # How many particles to preallocate for the vortex sheet vlm_vortexsheet_maxstaticparticle = vlm_vortexsheet==false ? nothing : 6000000 -# Rotor solver -vlm_rlx = 0.2 # VLM relaxation <-- this also applied to rotors -hubtiploss_correction = vlm.hubtiploss_correction_prandtl # Hub and tip correction - - -# Wing solver +# Wing solver: force calculation KJforce_type = "regular" # KJ force evaluated at middle of bound vortices_vortexsheet also true) include_trailingboundvortex = false # Include trailing bound vortices in force calculations @@ -124,14 +177,14 @@ wing_polar_file = "xf-n0012-il-500000-n5.csv" # Airfoil polar for # VPM solver -vpm_integration = vpm.rungekutta3 # VPM temporal integration scheme -# vpm_integration = vpm.euler +# vpm_integration = vpm.rungekutta3 # VPM temporal integration scheme +vpm_integration = vpm.euler vpm_viscous = vpm.Inviscid() # VPM viscous diffusion scheme # vpm_viscous = vpm.CoreSpreading(-1, -1, vpm.zeta_fmm; beta=100.0, itmax=20, tol=1e-1) -# vpm_SFS = vpm.SFS_none # VPM LES subfilter-scale model -vpm_SFS = vpm.DynamicSFS(vpm.Estr_fmm, vpm.pseudo3level_positive; +# vpm_SFS = vpm.SFS_none # VPM LES subfilter-scale model +vpm_SFS = vpm.DynamicSFS(vpm.Estr_fmm, vpm.pseudo3level_positive; alpha=0.999, maxC=1.0, clippings=[vpm.clipping_backscatter], controls=[vpm.control_directional, vpm.control_magnitude]) @@ -180,9 +233,9 @@ simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; Vinit=Vinit, Winit=Winit, t=tstart); # Maximum number of particles (for pre-allocating memory) -max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.vlm_system)+1)*p_per_step) +max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.wake_system)*(p_per_step+1) + p_per_step) ) max_particles = tquit != Inf ? ceil(Int, max_particles*(tquit-tstart)/ttot) : max_particles -max_particles = min(30000000, max_particles) +max_particles = min(10000000, max_particles) max_particles = VehicleType==uns.QVLMVehicle ? 10000 : max_particles @@ -389,6 +442,5 @@ uns.run_simulation(simulation, nsteps; save_path=save_path, run_name=run_name, save_wopwopin=true, # <--- Generates input files for PSU-WOPWOP noise analysis - save_code=splitdir(@__FILE__)[1] ); ``` diff --git a/docs/src/examples/vahana-vehicle.md b/docs/src/examples/vahana-vehicle.md index d61d0ec7..e7b148b6 100644 --- a/docs/src/examples/vahana-vehicle.md +++ b/docs/src/examples/vahana-vehicle.md @@ -597,15 +597,15 @@ function generate_vahana_vehicle(; # System solved through VLM solver vlm_system_m = vlm.WingSystem() + vlm.addwing(vlm_system_m, "letL", winglet_L) + vlm.addwing(vlm_system_m, "L", wing_L) vlm.addwing(vlm_system_m, "middle", wing_md) vlm.addwing(vlm_system_m, "R", wing_R) vlm.addwing(vlm_system_m, "letR", winglet_R) - vlm.addwing(vlm_system_m, "L", wing_L) - vlm.addwing(vlm_system_m, "letL", winglet_L) vlm_system_t = vlm.WingSystem() - vlm.addwing(vlm_system_t, "R", twing_R) vlm.addwing(vlm_system_t, "L", twing_L) + vlm.addwing(vlm_system_t, "R", twing_R) vlm_system = vlm.WingSystem() if add_wings diff --git a/docs/src/generate_examples_blownwing.jl b/docs/src/generate_examples_blownwing.jl index 24d7d0c0..5e14edc4 100644 --- a/docs/src/generate_examples_blownwing.jl +++ b/docs/src/generate_examples_blownwing.jl @@ -140,7 +140,7 @@ end open(joinpath(output_path, output_name*"-asm.md"), "w") do fout println(fout, """ - # Actuator Surface Model + # [Actuator Surface Model](@id asm) The aerodynamic solution computed in [the first section](@ref blownwingaero) was intended to be a mid-low fidelity simulation, which modeled the wing diff --git a/docs/src/generate_examples_rotorhover.jl b/docs/src/generate_examples_rotorhover.jl index 6308a1ed..c04f38a1 100644 --- a/docs/src/generate_examples_rotorhover.jl +++ b/docs/src/generate_examples_rotorhover.jl @@ -195,7 +195,7 @@ open(joinpath(output_path, output_name*"-aero.md"), "w") do fout high-fidelity simulation. - In [examples/rotorhover/rotorhover_postprocess.jl](https://github.com/byuflowlab/FLOWUnsteady/blob/master/examples/rotorhover/rotorhover_postprocess.jl) + In [examples/rotorhover/rotorhover_postprocessing.jl](https://github.com/byuflowlab/FLOWUnsteady/blob/master/examples/rotorhover/rotorhover_postprocessing.jl) we show how to postprocess the simulations to compare ``C_T`` and blade loading to experimental data by Zawodny *et al*.[^1] and a URANS simulation (STAR-CCM+) by Schenk[^2]: diff --git a/docs/src/generate_examples_vahana.jl b/docs/src/generate_examples_vahana.jl index 42a96a6d..5837e6c8 100644 --- a/docs/src/generate_examples_vahana.jl +++ b/docs/src/generate_examples_vahana.jl @@ -232,6 +232,11 @@ open(joinpath(output_path, output_name*"-run.md"), "w") do fout println(fout, """ # [Run Simulation](@id vahanarun) + A mid fidelity resolution makes the computational cost + tractable and possible to be run the full maneuver (30 seconds of real time) + overnight on a laptop computer. + This is a video of the full maneuver in mid fidelity: + ```@raw html
+
+ ``` + + As a reference, here are the parameters that we have used for the mid and high + fidelity simulations: + + + | Parameter | Mid fidelity | High fidelity | Description | + | :-------: | :----------: | :-----------: | :---------- | + | `n_factor`| `1` | `4` | Factor that controls the level of discretization of wings and blade surfaces | + | `nsteps` | `4*5400` | `8*5400` | Time steps for the entire maneuver | + | `t_start` | `0` | `0.20*ttot` | (s) start simulation at this point in time | + | `t_quit` | `ttot` | `0.30*ttot` | (s) end imulation at this point in time | + | `lambda_vpm` | `2.125` | `1.5*2.125` | VPM core overlap | + | `vlm_vortexsheet` | `false` | `true` | Whether to spread the wing surface vorticity as a vortex sheet | + | `vpm_integration` | `vpm.euler` | `vpm.rungekutta3` | VPM time integration scheme | + + + ```@raw html +
+ ``` + + Along the way, in this simulation we exemplify the following advanced features: + * Defining a variable pitch for rotors between hover and cruise + * Using the [actuator surface model](@ref asm) for wing surfaces + * Defining a [wake treatment](@ref waketreatmentapi) that speeds up the + simulation by removing particles that can be neglected + + ```@raw html +
+ ``` + """) println(fout, "```julia") open(joinpath(example_path, "vahana.jl"), "r") do fin + ignore = false + for (li, l) in enumerate(eachline(fin)) - if contains(l, "# Uncomment") || contains(l, "# save_path") || contains(l, "# run_name") + if contains(l, "# Uncomment") || contains(l, "# save_path") || contains(l, "# run_name") || contains(l, "save_code=splitdir") nothing else - println(fout, l) + + if l=="#=" + ignore=true + end + + if !ignore + println(fout, l) + end + + if l=="=#" + ignore=false + end end end diff --git a/examples/DEPRECATED/DEPREcircularpath.jl b/examples/DEPRECATED/DEPREcircularpath.jl deleted file mode 100644 index 36835182..00000000 --- a/examples/DEPRECATED/DEPREcircularpath.jl +++ /dev/null @@ -1,328 +0,0 @@ -#=############################################################################## -# DESCRIPTION -Wing in a circular path with cross wind. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Oct 2019 - * License : MIT -=############################################################################### - - -# ------------ MODULES --------------------------------------------------------- -# Load simulation engine -# import FLOWUnsteady -reload("FLOWUnsteady") -uns = FLOWUnsteady -vlm = uns.vlm - -import GeometricTools -gt = GeometricTools - -using PyPlot - -# ------------ GLOBAL VARIABLES ------------------------------------------------ -# Default path where to save data -extdrive_path = "/media/edoalvar/MyExtDrive/simulationdata5/" - - - -# ------------ DRIVERS --------------------------------------------------------- -function run_circularpath() - # circularpath(; nsteps=800, p_per_step=4, vlm_rlx=0.75, - # save_path=extdrive_path*"circularpath10/", - # verbose=true, disp_plot=true) - circularpath(; nsteps=400, p_per_step=1, vlm_rlx=0.75, - save_path=extdrive_path*"circularpath10/", - verbose=true, disp_plot=true) -end - - -# ------------------------------------------------------------------------------ - -""" - Test FLOWVLM solver on kinematics a wint in circular path with cross wind. -""" -function circularpath(; # TEST OPTIONS - tol=0.025, - wake_coupled=true, - nsteps=150, - vlm_fsgm=-1, - p_per_step = 1, - vlm_rlx = -1, - # OUTPUT OPTIONS - save_path=nothing, - run_name="bertins", - prompt=true, - verbose=true, verbose2=true, v_lvl=1, - disp_plot=true, figsize_factor=5/6 - ) - - if verbose; println("\t"^(v_lvl)*"Running Bertin's wing test..."); end; - - # ------------- GENERATE BERTIN'S WING ------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating geometry..."); end; - # Experimental conditions - magVinf = 12.0 # (m/s) cross wind - Rcirc = 40.0 # (m) circling radius - Mach = 0.2 # Target Mach number - speedofsound = 343 # (m/s) speed of sound - wcirc = Mach*speedofsound/Rcirc # (rad/s) angular velocity of circular motion - rhoinf = 9.093/10^1 # (kg/m^3) air density - alpha = -4.2 # (deg) angle of attack - qinf = 0.5*rhoinf*magVinf^2 # (Pa) static pressure - - if verbose - println("\t"^(v_lvl+1)*"RPM:\t\t\t$(round(60*wcirc/(2*pi), digits=1))") - println("\t"^(v_lvl+1)*"Inflow AOA:\t\t$(round(180/pi*atan(magVinf, wcirc*Rcirc), digits=1)) deg") - println("\t"^(v_lvl+1)*"Effective AOA:\t\t$(round(180/pi*atan(magVinf, wcirc*Rcirc)+alpha, digits=1)) deg") - end - - # Geometry - twist = 0.0 # (deg) root twist - lambda = 45.0 # (deg) sweep - gamma = 0.0 # (deg) Dihedral - b = 26.0/2 # (m) span - ar = 5.0 # Aspect ratio - tr = 1.0 # Taper ratio - - # Discretization - n = 4*2^4 # Number of horseshoes - r = 12.0 # Geometric expansion - central = false # Central expansion - - # Freestream function - Vinf(X, t) = magVinf*[1,0,0] # Cross wind in positive x-direction - - # Generate wing - wing = vlm.simpleWing(b, ar, tr, twist, lambda, gamma; - n=n, r=r, central=central) - - # Pitch wing to corresponding angle of attack - O = zeros(3) # Coordinate system origin - Oaxis = gt.rotation_matrix2(0.0, -alpha, 0.0) # Coordinate system axes - vlm.setcoordsystem(wing, O, Oaxis) - - - # ------------- SIMULATION SETUP ------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Simulation setup..."); end; - - revs = 3 # Revolutions to solve - lambda_vpm = 2.0 # target core overlap of vpm wake - - # Simulation options - telapsed = revs/(wcirc/(2*pi)) # (s) total time to perform maneuver - # nsteps = 2000 # Number of time steps - Vcruise = wcirc*Rcirc # (m/s) aircraft velocity during cruise - RPMh_w = 0.0 # Rotor RPM during hover (dummy) - - # Solver options - # p_per_step = 1 # Number of particle sheds per time steps - overwrite_sigma = lambda_vpm * norm([magVinf, wcirc*Rcirc]) * (telapsed/nsteps)/p_per_step # Smoothing core size - # vlm_sigma = -1 # VLM regularization core size (deactivated with -1) - vlm_sigma = vlm_fsgm*b - # wake_coupled = true # Coupled VPM wake with VLM solution - shed_unsteady = true # Whether to shed unsteady-loading wake - # shed_unsteady = false - # vlm_rlx = -1 # VLM relaxation (deactivated with -1) - - # System definitions - system = vlm.WingSystem() # System of all FLOWVLM objects - vlm.addwing(system, "BertinsWing", wing) - - # Aligns the wing with positive z-axis and perpendicular to cross wind - O = zeros(3) - Oaxis = [0 0 -1; 0 1 0; 1 0 0] - vlm.setcoordsystem(system, O, Oaxis) - - vlm_system = system # System solved through VLM solver - wake_system = system # System that will shed a VPM wake - - # Vehicle definition - vehicle = uns.VLMVehicle( system; - vlm_system=vlm_system, - wake_system=wake_system - ) - - if verbose - println("\t"^(v_lvl+1)*"Core overlap:\t\t$(lambda_vpm)") - println("\t"^(v_lvl+1)*"Core size:\t\t$(round(overwrite_sigma/b, digits=3))*b") - println("\t"^(v_lvl+1)*"Time step translation:\t$(round(magVinf * (telapsed/nsteps)/b, digits=3))*b") - end - - - # ------------- MANEUVER DEFINITION --------------------------------------- - ncycles = revs # Number of cycles in maneuver - k = 2*pi*ncycles # Frequency - - # Translational velocity of system over Vcruise - function Vaircraft(t) - # Counter-clockwise rotation - Vx = 0 - Vy = sin(k*t) - Vz = cos(k*t) - return [Vx, Vy, Vz] - end - # Angle of the vehicle - function angle_wing(t) - return [0, 0, -360*k/(2*pi) * t] - end - angle = () # Angle of each tilting system - RPM = () # RPM of each rotor system - Vvehicle = Vaircraft # Velocity of the vehicle - anglevehicle = angle_wing # Angle of the vehicle - - maneuver = uns.KinematicManeuver(angle, RPM, Vvehicle, anglevehicle) - # ------------- SIMULATION MONITOR ----------------------------------------- - y2b = 2*wing._ym/b - - # Weber's lift distribution data (Table 3) - web_2yb = [0.0, 0.041, 0.082, 0.163, 0.245, 0.367, 0.510, 0.653, 0.898, 0.949] - web_Cl = [0.235, 0.241, 0.248, 0.253, 0.251, 0.251, 0.251, 0.246, 0.192, 0.171] - web_CL = 0.238 - web_ClCL = web_Cl/web_CL - - # Weber's drag distribution data (Table 3) - web_Cd = [0.059, 0.025, 0.016, 0.009, 0.007, 0.006, 0.006, 0.004, -0.002, -0.007] - web_CD = 0.005 - web_CdCD = web_Cd/web_CD - - prev_wing = nothing - - function monitor(sim, PFIELD, T, DT; figname="monitor_$(save_path)", nsteps_plot=1) - - aux = PFIELD.nt/nsteps - clr = (1-aux, 0, aux) - - if PFIELD.nt==0 && disp_plot - figure(figname, figsize=[7*2, 5*2]*figsize_factor) - subplot(221) - xlim([0,1]) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"$\frac{Cl}{CL}$") - title("Spanwise lift distribution") - - subplot(222) - xlim([0,1]) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"$\frac{Cd}{CD}$") - title("Spanwise drag distribution") - - subplot(223) - xlabel("Simulation time (s)") - ylabel(L"Lift Coefficient $C_L$") - - subplot(224) - xlabel("Simulation time (s)") - ylabel(L"Drag Coefficient $C_D$") - - figure(figname*"_2", figsize=[7*2, 5*1]*figsize_factor) - subplot(121) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"Circulation $\Gamma$") - subplot(122) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"Effective velocity $V_\infty$") - end - - if PFIELD.nt!=0 && PFIELD.nt%nsteps_plot==0 && disp_plot - figure(figname) - - - # Force at each VLM element - Ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t) - L, D, S = uns.decompose(Ftot, [0,0,1], [-1,0,0]) - vlm._addsolution(wing, "L", L) - vlm._addsolution(wing, "D", D) - vlm._addsolution(wing, "S", S) - - # Force per unit span at each VLM element - ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t, per_unit_span=true) - l, d, s = uns.decompose(ftot, [0,0,1], [-1,0,0]) - - # Lift of the wing - Lwing = norm(sum(L)) - CLwing = Lwing/(qinf*b^2/ar) - ClCL = norm.(l) / (Lwing/b) - - # Drag of the wing - Dwing = norm(sum(D)) - CDwing = Dwing/(qinf*b^2/ar) - CdCD = [sign(dot(this_d, [1,0,0])) for this_d in d].*norm.(d) / (Dwing/b) # Preserves the sign of drag - - vlm._addsolution(wing, "Cl/CL", ClCL) - vlm._addsolution(wing, "Cd/CD", CdCD) - - subplot(221) - plot(web_2yb, web_ClCL, "ok", label="Weber's experimental data") - plot(y2b, ClCL, "-", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(222) - plot(web_2yb, web_CdCD, "ok", label="Weber's experimental data") - plot(y2b, CdCD, "-", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(223) - plot([0, T], web_CL*ones(2), ":k", label="Weber's experimental data") - plot([T], [CLwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(224) - plot([0, T], web_CD*ones(2), ":k", label="Weber's experimental data") - plot([T], [CDwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - figure(figname*"_2") - subplot(121) - plot(y2b, wing.sol["Gamma"], "-", label="FLOWVLM", alpha=0.5, color=clr) - if wake_coupled && PFIELD.nt!=0 - subplot(122) - plot(y2b, norm.(wing.sol["Vkin"])/magVinf, "-", label="FLOWVLM", alpha=0.5, color=[clr[1], 1, clr[3]]) - plot(y2b, norm.(wing.sol["Vvpm"]), "-", label="FLOWVLM", alpha=0.5, color=clr) - plot(y2b, [norm(Vinf(vlm.getControlPoint(wing, i), T)) for i in 1:vlm.get_m(wing)], - "-k", label="FLOWVLM", alpha=0.5) - end - end - - prev_wing = deepcopy(wing) - - return false - end - - - # ------------- RUN SIMULATION --------------------------------------------- - # Simulation setup - Vref = Vcruise # Reference velocity - RPMref = RPMh_w # Reference RPM - ttot = telapsed # Total time to perform maneuver - Vinit = Vref*Vaircraft(0) # Initial vehicle velocity - Winit = pi/180*(angle_wing(1e-6) - angle_wing(0))/(1e-6*ttot) # Initial angular velocity - # Maximum number of particles - max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.vlm_system)+1)*p_per_step) - - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; - Vinit=Vinit, Winit=Winit) - - if verbose; println("\t"^(v_lvl+1)*"Running simulation..."); end; - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - vlm_rlx=vlm_rlx, - max_particles=max_particles, - wake_coupled=wake_coupled, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose2, v_lvl=v_lvl+1, - save_horseshoes=!wake_coupled - ) - - return simulation, pfield -end diff --git a/examples/DEPRECATED/blownwing/blownwing.jl b/examples/DEPRECATED/blownwing/blownwing.jl deleted file mode 100644 index 203f7718..00000000 --- a/examples/DEPRECATED/blownwing/blownwing.jl +++ /dev/null @@ -1,88 +0,0 @@ -#=############################################################################## -# DESCRIPTION -Testing rotor-on-wing and wing-on-rotor modeling using a scaled-down Bertin's -wing (45-deg, swept-back, planar wing in Example 7.2, pp. 343 of Bertin's -Aerodynamics for Engineers) with two APC 10x7 propellers (one on each side). - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Dec 2019 - * License : MIT -=############################################################################### - -# ------------ MODULES --------------------------------------------------------- -# Load simulation engine -# import FLOWUnsteady -reload("FLOWUnsteady") -uns = FLOWUnsteady -vlm = uns.vlm - -import GeometricTools -gt = GeometricTools - -using PyPlot - -noise = nothing -try - # FLOWNoise https://github.com/byuflowlab/FLOWNoise (it requires PSU-WOPWOP) - import FLOWNoise - noise = FLOWNoise -catch e - @warn("FLOWNoise not loaded: $e") - println("FLOWNoise not loaded: $e") -end - - -# ------------ GLOBAL VARIABLES ------------------------------------------------ -# Default path where to save data -extdrive_path = "/media/edoalvar/MyExtDrive/simulationdata7/" -# extdrive_path = "temps/" - - -# ------------ HEADERS --------------------------------------------------------- -for header_name in ["singleprop", "isolatedwing", "blownwing", "postprocessing", - "noise"] - include("blownwing_"*header_name*".jl") -end - - -# ------------ DRIVERS --------------------------------------------------------- -function run_singleprop(; xfoil=true, prompt=true) - singleprop(; xfoil=xfoil, save_path=extdrive_path*"fvs_singleprop04/", - prompt=prompt) -end - -function run_isolatedwing(; prompt=true) - isolatedwing(; save_path=extdrive_path*"fvs_isolatedwing10/", prompt=prompt) -end - -function run_blownwing(; xfoil=true, prompt=true) - blownwing(; xfoil=xfoil, save_path=extdrive_path*"blownwing_test05/", - VehicleType=uns.VLMVehicle, nrevs=10, prompt=prompt) -end - -function run_noise(; ) - - read_path = "/media/edoalvar/MyExtDrive/simulationdata5/fvs_blownwing11_alloutputs_noise/aero_rawoutputs/" - save_path = "/media/edoalvar/MyExtDrive/simulationdata5/fvs_blownwing11_alloutputs_noise/test_noise06/" - postprocessing_noise( save_path; - # ---------- AERO SIMULATION INFO ---------- - num0=2, # First time step to analyze - nrevs=29, # Number of revs to analyze - # ---------- OBSERVERS ------------------------- - loading=true, # Include loading pressure - sph_R=1.2*1.693/2, sph_nR=24, sph_ntht=24, # Sphere definition - sph_nphi=24, sph_phimax=360, - sph_rotation=[90, 0, 0], - sph_C=[1.693/4, 0, 0], - microphoneX=nothing, - ww_nummin=72*15, - ww_numless=72*11-2, - # ---------- INPUT OPTIONS --------------------- - read_path=read_path, - # ---------- OUTPUT OPTIONS -------------------- - prompt=true, debug_paraview=true, - debuglvl=1, # WW debug level - ) -end diff --git a/examples/DEPRECATED/blownwing/blownwing_blownwing.jl b/examples/DEPRECATED/blownwing/blownwing_blownwing.jl deleted file mode 100644 index af13d126..00000000 --- a/examples/DEPRECATED/blownwing/blownwing_blownwing.jl +++ /dev/null @@ -1,331 +0,0 @@ -#=############################################################################## -# DESCRIPTION - Blown wing with one rotor half way the midspan on each side. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Dec 2019 - * License : MIT -=############################################################################### - -function blownwing(; xfoil=true, - pos_bs=[-0.5, 0.5], # Position on the semispan of every rotor - CWs=[false, false], # Clock-wise rotation of every rotor - VehicleType=uns.VLMVehicle, # Vehicle type - add_wing=true, - nrevs=30, # Number of revolutions in simulation - # OUTPUT OPTIONS - save_path=nothing, - run_name="blownwing", - prompt=true, - verbose=true, v_lvl=0 - ) - - # ------------ PARAMETERS -------------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Defining parameters..."); end; - - # Rotor parameters - rotor_file = "apc10x7.csv" # Rotor geometry - data_path = uns.def_data_path # Path to rotor database - pitch = 0.0 # (deg) collective pitch of blades - n_r = 10 # Number of blade elements - # xfoil = false # Whether to run XFOIL - # pos_bs = [-0.5, 0.5] # Position on the semispan of every rotor - # CWs = [false, false] # Clock-wise rotation of every rotor - offx = 1.25 # Clearance to LE as a fraction of R - init_rot = 90 # Initial rotation - - - # Read radius of this rotor and number of blades - R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]] - - # Simulation parameters - J = 0.6 # Advance ratio Vinf/(nD) - ReD07 = 1.5e6 # Diameter-based Reynolds at 70% span - ReD = ReD07/0.7 # Diameter-based Reynolds - rho = 1.225 # (kg/m^3) air density - mu = 1.81e-5 # (kg/ms) air dynamic viscosity - nu = mu/rho - sound_spd = 343 # (m/s) speed of sound - RPM = uns.calc_RPM(ReD, J, R, 2*R, nu) # RPM - magVinf = J*RPM/60*2*R # (m/s) freestream velocity - Minf = magVinf / sound_spd - Mtip = 2*pi*RPM/60*R / sound_spd - Rob = 0.075 # Ratio of rotor radius over span - b = R/Rob # (m) wing span - Reb = magVinf*b/nu - - # magVinf = 163*0.3048 # (m/s) freestream - rhoinf = rho # (kg/m^3) air density - alpha = 4.2 # (deg) angle of attack - qinf = 0.5*rhoinf*magVinf^2 # (Pa) static pressure - - # Wing geometry - twist = 0.0 # (deg) root twist - lambda = 45.0 # (deg) sweep - gamma = 0.0 # (deg) Dihedral - # b = 98*0.0254 # (m) span - ar = 5.0 # Aspect ratio - tr = 1.0 # Taper ratio - n_w = 4*2^3 # Number of horseshoes - r_w = 3.0 # Expansion ratio of horeshoes - n_rot = 1.75 # Factor for HS density behind rotors - - chord = b/ar - Rec = magVinf*chord/nu - - # Freestream function - # Vinf(X, t) = magVinf*[cos(alpha*pi/180), 0.0, sin(alpha*pi/180)] - # Vinf(X, t) = 1e-12*ones(3) # (Don't make this zero or things will break) - # Here I had to give it an initial freestream or the unsteady shedding would - # in the first step - Vinf(X, t) = t==0 ? magVinf*[1,0,0] : 1e-12*ones(3) - - - # Solver parameters - # nrevs = 30 # Number of revolutions in simulation - nsteps_per_rev = 72 # Time steps per revolution - # nsteps_per_rev = 36 - p_per_step = 2 # Sheds per time step - # p_per_step = 1 - ttot = nrevs/(RPM/60) # (s) total simulation time - nsteps = nrevs*nsteps_per_rev # Number of time steps - lambda_vpm = 2.125 # Core overlap - overwrite_sigma = lambda_vpm * 2*pi*R/(nsteps_per_rev*p_per_step) # Smoothing core size - nsteps_relax = 1 # Relax VPM every this many steps - vpm_relax = 0.3 # VPM relaxation factor - vpm_surface = true # Whether to include surfaces in the VPM - surf_sigma = R/10 # Smoothing radius of lifting surface - # vlm_sigma = surf_sigma # Smoothing radius of VLM - vlm_sigma = -1 # NOTE: keep this disabled or the VLM will go awry - shed_unsteady = true # Shed particles from unsteady loading - # Max particles for memory pre-allocation - max_particles = ((2*n_r+1)*B*length(CWs) + 2*n_w+1)*(nrevs*nsteps_per_rev+1)*p_per_step - plot_disc = false # Plot blade discretization for debugging - wake_coupled = true # Coupled VLM solver with VPM - vlm_rlx = 0.75 # VLM relaxation (deactivated with -1) - # vlm_rlx = 0.0 - # vlm_init = true # Initialize with the VLM semi-infinite wake solution - vlm_init = false - - if verbose - println("\t"^(v_lvl+2)*"J:\t\t$(J)") - println("\t"^(v_lvl+2)*"ReD07:\t\t$(ReD07)") - println("\t"^(v_lvl+2)*"RPM:\t\t$(ceil(Int, RPM))") - println("\t"^(v_lvl+2)*"Mtip:\t\t$(round(Mtip, digits=3))") - println("\t"^(v_lvl+2)*"Minf:\t\t$(round(Minf, digits=3))") - println("\t"^(v_lvl+2)*"R/b:\t\t$(round(Rob, digits=3))") - println("\t"^(v_lvl+2)*"b:\t\t$(round(b, digits=2)) m") - println("\t"^(v_lvl+2)*"c:\t\t$(round(chord, digits=2)) m") - println("\t"^(v_lvl+2)*"Reb:\t\t$(ceil(Int, Reb))") - println("\t"^(v_lvl+2)*"Rec:\t\t$(ceil(Int, Rec))") - println("\t"^(v_lvl+2)*"Solution time: "* - "$(round(magVinf*nrevs/(RPM/60)/b, digits=3)) spans ($nrevs revolutions)") - println("\t"^(v_lvl+2)*"vlm_fsgm:\t\t$(round(vlm_sigma/b, digits=6))") - end - - # ------------ GENERATING GEOMETRY ----------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating geometry..."); end; - - if length(pos_bs) != length(CWs) - error("Invalid rotor definition: length(pos_bs) != length(CWs)") - end - - # Generate clockwise rotor - rotor_cw = uns.generate_rotor(rotor_file; pitch=pitch, - n=n_r, CW=true, ReD=ReD, - verbose=verbose, xfoil=xfoil, - data_path=data_path, - plot_disc=plot_disc, - verbose=verbose, v_lvl=v_lvl+1) - # Generate counter-clockwise rotor - rotor_ccw = vlm.Rotor(!rotor_cw.CW, rotor_cw.r, rotor_cw.chord, - rotor_cw.theta, rotor_cw.LE_x, - rotor_cw.LE_z, rotor_cw.B, - rotor_cw.airfoils) - vlm.initialize(rotor_ccw, rotor_cw.m) - - base_props = [rotor_cw, rotor_ccw] # Base rotors - - # Generate the actual rotors to use along wing - rotors = vlm.Rotor[] - # @warn("Rotors disabled!") - # pos_bs = [] - # CWs = [] - for (i, pos) in enumerate(pos_bs) - # Rotor geometry - copy_prop = base_props[2^!CWs[i]] - this_prop = deepcopy(copy_prop) - # Position - x = abs(pos)*b/2*tan(pi/180*lambda) - offx*R - y = pos*b/2 - z = abs(pos)*b/2*tan(pi/180*gamma) - # Account for angle of attack of wing - nrm = norm([x,z]) - x = nrm*cos(pi/180*alpha) - z = -nrm*sin(pi/180*alpha) - this_O = [x, y, z] - # Orientation - this_Oaxis = Float64[1 0 0; 0 1 0; 0 0 1] - - vlm.setcoordsystem(this_prop, this_O, this_Oaxis; user=true) - - # Rotates props - vlm.rotate(this_prop, (-1)^(!CWs[i]) * init_rot) - - # Adds the original polars that don't get copied in deepcopy - this_prop.airfoils = copy_prop.airfoils - this_prop._polars = copy_prop._polars - this_prop._polarroot = copy_prop._polarroot - this_prop._polartip = copy_prop._polartip - - push!(rotors, this_prop) - end - - # Wing discretization - _pos_bs = unique(abs.(pos_bs)) - if length(pos_bs)!=0 && length(pos_bs)!=1 && length(pos_bs)/length(_pos_bs)!=2 - error("Logic error: Position of rotors is expected to be symmetric.") - end - refinement = [] - for pos_b in _pos_bs - # Add wing section before rotor - pos = pos_b - R/(b/2) # Position along semi span - if pos > 0 # Length of segment - len = pos - (length(refinement)!=0 ? refinement[end][1] : 0) - nfrac = len # fraction of horseshoes - if length(refinement) != 0 - push!(refinement, [len/2, nfrac/2, r_w]) - push!(refinement, [len/2, nfrac/2, 1/r_w]) - else - push!(refinement, [len, nfrac, 1/r_w]) - end - end - - # Add rotor section - pos = min(pos_b + R/(b/2), 1.0) - len = pos - (length(refinement)!=0 ? refinement[end][1] : 0) - nfrac = len - push!(refinement, [len, n_rot*nfrac, 1.01]) - end - if length(refinement) == 0 - push!(refinement, [1.0, 1.0, 1/r_w]) - end - # Add tip - sumc = sum(ref[1] for ref in refinement) - if abs(sumc-1.0) > 0.0001 - len = abs(sumc-1) - nfrac = 1.5*len - push!(refinement, [len/2, nfrac/2, r_w]) - push!(refinement, [len/2, nfrac/2, 1/r_w]) - end - - # Generate wing - wing = vlm.simpleWing(b, ar, tr, twist, lambda, gamma; - n=n_w, refinement=refinement) - - # Pitch wing to corresponding angle of attack - O = zeros(3) # Coordinate system origin - Oaxis = gt.rotation_matrix2(0.0, -alpha, 0.0) # Coordinate system axes - vlm.setcoordsystem(wing, O, Oaxis) - - - # ------------- SIMULATION SETUP ------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Simulation setup..."); end; - - # ----- VEHICLE DEFINITION - # System of all FLOWVLM objects - system = vlm.WingSystem() - if add_wing; vlm.addwing(system, "Wing", wing); end; - for (ri, rotor) in enumerate(rotors) - vlm.addwing(system, "Rotor$ri", rotor) - end - - # Systems of rotors - rotor_systems = (rotors, ) - - # System solved through VLM solver - vlm_system = vlm.WingSystem() - if add_wing; vlm.addwing(vlm_system, "Wing", wing); end; - - # Wake-shedding system - wake_system = vlm.WingSystem() - if add_wing; vlm.addwing(wake_system, "Wing", wing); end; - - if VehicleType != uns.QVLMVehicle - for (ri, rotor) in enumerate(rotors) - vlm.addwing(wake_system, "Rotor$ri", rotor) - end - else - # Mute colinear warnings. This is needed since the quasi-steady solver - # will probe induced velocities at the lifting line of the blade - uns.vlm.VLMSolver._mute_warning(true) - end - - # FVS's Vehicle object - vehicle = VehicleType( system; - vlm_system=vlm_system, - rotor_systems=rotor_systems, - wake_system=wake_system - ) - - # ----- MANEUVER DEFINITION - RPM_fun(t) = 1.0 # RPM (normalized by reference RPM) as a - # function of normalized time - - angle = () # Angle of each tilting system (none in this case) - sysRPM = (RPM_fun, ) # RPM of each rotor system - Vvehicle(t) = [-1,0,0] # Translational velocity of vehicle over Vref - anglevehicle(t) = zeros(3) # (deg) angle of the vehicle - - Vref = magVinf # (m/s) aircraft velocity during cruise - RPMref = RPM # Reference RPM - - # FVS's Maneuver object - maneuver = uns.KinematicManeuver(angle, sysRPM, Vvehicle, anglevehicle) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; vis_nsteps=nsteps) - - # ----- SIMULATION DEFINITION - Vinit = Vref*Vvehicle(0) # Initial vehicle velocity - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; Vinit=Vinit) - - monitor_rotor = generate_monitor_prop(J, rho, RPM, nsteps; save_path=save_path, - run_name=run_name*"_rotors") - monitor_wing = generate_monitor_wing(wing, b, ar, nsteps, Vinf, rhoinf, qinf, - magVinf, wake_coupled; - save_path=save_path, - run_name=run_name*"_wing") - monitor(args...) = monitor_rotor(args...) || (add_wing ? monitor_wing(args...) : false) - - # ------------- RUN SIMULATION --------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Running simulation..."); end; - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - vpm_surface=vpm_surface, - surf_sigma=surf_sigma, - vlm_init=vlm_init, - vlm_rlx=vlm_rlx, - max_particles=max_particles, - nsteps_relax=nsteps_relax, - relaxfactor=vpm_relax, - wake_coupled=wake_coupled, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose, v_lvl=v_lvl+1, - save_code=splitdir(@__FILE__)[1], - save_horseshoes=false - ) - return pfield, wing, rotors -end diff --git a/examples/DEPRECATED/blownwing/blownwing_isolatedwing.jl b/examples/DEPRECATED/blownwing/blownwing_isolatedwing.jl deleted file mode 100644 index 5e454651..00000000 --- a/examples/DEPRECATED/blownwing/blownwing_isolatedwing.jl +++ /dev/null @@ -1,475 +0,0 @@ -#=############################################################################## -# DESCRIPTION - Testing of an isolated, planar, 45-deg swept-back wing (Bertin's planar wing - in Example 7.2, pp. 343 of Bertin's Aerodynamics for Engineers). Validated - with experimental data from Weber and Brebner (1958), Low-speed tests on - 45-deg swept-back wings, part I, Tables 3 and 4. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Dec 2019 - * License : MIT -=############################################################################### - -""" - Test FLOWVLM solver on kinematics of an isolated, planar, swept wing. -""" -function isolatedwing(; xfoil=true, - # OUTPUT OPTIONS - save_path=nothing, - run_name="isolatedwing", - prompt=true, - verbose=true, v_lvl=0 - ) - - # ------------ PARAMETERS -------------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Defining parameters..."); end; - - # Rotor parameters - rotor_file = "apc10x7.csv" # Rotor geometry - data_path = uns.def_data_path # Path to rotor database - pitch = 0.0 # (deg) collective pitch of blades - n_r = 10 # Number of blade elements - # xfoil = false # Whether to run XFOIL - pos_bs = [-0.5, 0.5] # Position on the semispan of every rotor - CWs = [false, false] # Clock-wise rotation of every rotor - - - # Read radius of this rotor and number of blades - R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]] - - # Simulation parameters - J = 0.6 # Advance ratio Vinf/(nD) - ReD07 = 1.5e6 # Diameter-based Reynolds at 70% span - ReD = ReD07/0.7 # Diameter-based Reynolds - rho = 1.225 # (kg/m^3) air density - mu = 1.81e-5 # (kg/ms) air dynamic viscosity - nu = mu/rho - sound_spd = 343 # (m/s) speed of sound - RPM = uns.calc_RPM(ReD, J, R, 2*R, nu) # RPM - magVinf = J*RPM/60*2*R # (m/s) freestream velocity - Minf = magVinf / sound_spd - Mtip = 2*pi*RPM/60*R / sound_spd - Rob = 0.075 # Ratio of rotor radius over span - b = R/Rob # (m) wing span - Reb = magVinf*b/nu - - # magVinf = 163*0.3048 # (m/s) freestream - rhoinf = rho # (kg/m^3) air density - alpha = 4.2 # (deg) angle of attack - qinf = 0.5*rhoinf*magVinf^2 # (Pa) static pressure - - # Wing geometry - twist = 0.0 # (deg) root twist - lambda = 45.0 # (deg) sweep - gamma = 0.0 # (deg) Dihedral - # b = 98*0.0254 # (m) span - ar = 5.0 # Aspect ratio - tr = 1.0 # Taper ratio - n_w = 4*2^3 # Number of horseshoes - r_w = 3.0 # Expansion ratio of horeshoes - n_rot = 1.75 # Factor for HS density behind rotors - - chord = b/ar - Rec = magVinf*chord/nu - - # Freestream function - # Vinf(X, t) = magVinf*[cos(alpha*pi/180), 0.0, sin(alpha*pi/180)] - # Vinf(X, t) = 1e-12*ones(3) # (Don't make this zero or things will break) - # Here I had to give it an initial freestream or the unsteady shedding would - # in the first step - Vinf(X, t) = t==0 ? magVinf*[1,0,0] : 1e-12*ones(3) - - - # Solver parameters - nrevs = 10 # Number of revolutions in simulation - nsteps_per_rev = 72 # Time steps per revolution - # p_per_step = 2 # Sheds per time step - p_per_step = 1 - ttot = nrevs/(RPM/60) # (s) total simulation time - nsteps = nrevs*nsteps_per_rev # Number of time steps - lambda_vpm = 2.125 # Core overlap - overwrite_sigma = lambda_vpm * 2*pi*R/(nsteps_per_rev*p_per_step) # Smoothing core size - surf_sigma = R/10 # Smoothing radius of lifting surface - # vlm_sigma = surf_sigma # Smoothing radius of VLM - vlm_sigma = -1 # NOTE: keep this disabled or the VLM will go awry - shed_unsteady = true # Shed particles from unsteady loading - # Max particles for memory pre-allocation - max_particles = ((2*n_r+1)*B + 2*n_w+1)*nrevs*nsteps_per_rev*p_per_step - plot_disc = true # Plot blade discretization for debugging - wake_coupled = true # Coupled VLM solver with VPM - vlm_rlx = 0.75 # VLM relaxation (deactivated with -1) - # vlm_rlx = 0.0 - vlm_init = true # Initialize with the VLM semi-infinite wake solution - - if verbose - println("\t"^(v_lvl+2)*"J:\t\t$(J)") - println("\t"^(v_lvl+2)*"ReD07:\t\t$(ReD07)") - println("\t"^(v_lvl+2)*"RPM:\t\t$(ceil(Int, RPM))") - println("\t"^(v_lvl+2)*"Mtip:\t\t$(round(Mtip, digits=3))") - println("\t"^(v_lvl+2)*"Minf:\t\t$(round(Minf, digits=3))") - println("\t"^(v_lvl+2)*"R/b:\t\t$(round(Rob, digits=3))") - println("\t"^(v_lvl+2)*"b:\t\t$(round(b, digits=2)) m") - println("\t"^(v_lvl+2)*"c:\t\t$(round(chord, digits=2)) m") - println("\t"^(v_lvl+2)*"Reb:\t\t$(ceil(Int, Reb))") - println("\t"^(v_lvl+2)*"Rec:\t\t$(ceil(Int, Rec))") - println("\t"^(v_lvl+2)*"Solution time: "* - "$(round(magVinf*nrevs/(RPM/60)/b, digits=3)) spans ($nrevs revolutions)") - println("\t"^(v_lvl+2)*"vlm_fsgm:\t\t$(round(vlm_sigma/b, digits=6))") - end - - # ------------ GENERATING GEOMETRY ----------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating geometry..."); end; - - # # Generate rotor - # rotor = uns.generate_rotor(rotor_file; pitch=pitch, - # n=n_r, CW=CW, ReD=ReD, - # verbose=verbose, xfoil=xfoil, - # data_path=data_path, - # plot_disc=plot_disc, - # verbose=verbose, v_lvl=v_lvl+1) - - # Wing discretization - _pos_bs = unique(abs.(pos_bs)) - if length(pos_bs)!=0 && length(pos_bs)!=1 && length(pos_bs)/length(_pos_bs)!=2 - error("Logic error: Position of rotors is expected to be symmetric.") - end - refinement = [] - for pos_b in _pos_bs - # Add wing section before rotor - pos = pos_b - R/(b/2) # Position along semi span - if pos > 0 # Length of segment - len = pos - (length(refinement)!=0 ? refinement[end][1] : 0) - nfrac = len # fraction of horseshoes - if length(refinement) != 0 - push!(refinement, [len/2, nfrac/2, r_w]) - push!(refinement, [len/2, nfrac/2, 1/r_w]) - else - push!(refinement, [len, nfrac, 1/r_w]) - end - end - - # Add rotor section - pos = min(pos_b + R/(b/2), 1.0) - len = pos - (length(refinement)!=0 ? refinement[end][1] : 0) - nfrac = len - push!(refinement, [len, n_rot*nfrac, 1.01]) - end - if length(refinement) == 0 - push!(refinement, [1.0, 1.0, 1/r_w]) - end - # Add tip - sumc = sum(ref[1] for ref in refinement) - if abs(sumc-1.0) > 0.0001 - len = abs(sumc-1) - nfrac = 1.5*len - push!(refinement, [len/2, nfrac/2, r_w]) - push!(refinement, [len/2, nfrac/2, 1/r_w]) - end - - # Generate wing - wing = vlm.simpleWing(b, ar, tr, twist, lambda, gamma; - n=n_w, refinement=refinement) - - # Pitch wing to corresponding angle of attack - O = zeros(3) # Coordinate system origin - Oaxis = gt.rotation_matrix2(0.0, -alpha, 0.0) # Coordinate system axes - vlm.setcoordsystem(wing, O, Oaxis) - - - # ------------- SIMULATION SETUP ------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Simulation setup..."); end; - - # ----- VEHICLE DEFINITION - # System of all FLOWVLM objects - system = vlm.WingSystem() - vlm.addwing(system, run_name*"_wing", wing) - # vlm.addwing(system, run_name*"_rotor", rotor) - - # Systems of rotors - # rotors = vlm.Rotor[rotor] # Defining this rotor as its own system - rotor_systems = () - - # System solved through VLM solver - vlm_system = system - - # Wake-shedding system - wake_system = system - - # FVS's Vehicle object - vehicle = uns.VLMVehicle( system; - vlm_system=vlm_system, - rotor_systems=rotor_systems, - wake_system=wake_system - ) - - # ----- MANEUVER DEFINITION - RPM_fun(t) = 1.0 # RPM (normalized by reference RPM) as a - # function of normalized time - - angle = () # Angle of each tilting system (none in this case) - # sysRPM = (RPM_fun, ) # RPM of each rotor system - sysRPM = () - Vvehicle(t) = [-1,0,0] # Translational velocity of vehicle over Vref - anglevehicle(t) = zeros(3) # (deg) angle of the vehicle - - Vref = magVinf # (m/s) aircraft velocity during cruise - # RPMref = RPM # Reference RPM - RPMref = 0.0 - - # FVS's Maneuver object - maneuver = uns.KinematicManeuver(angle, sysRPM, Vvehicle, anglevehicle) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; vis_nsteps=nsteps) - - # ----- SIMULATION DEFINITION - Vinit = Vref*Vvehicle(0) # Initial vehicle velocity - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; Vinit=Vinit) - - # monitor = generate_monitor_rotor(J, rho, RPM, nsteps; save_path=save_path, - # run_name=run_name) - monitor = generate_monitor_wing(wing, b, ar, nsteps, Vinf, rhoinf, qinf, - magVinf, wake_coupled) - - # ------------- RUN SIMULATION --------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Running simulation..."); end; - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - surf_sigma=surf_sigma, - vlm_init=vlm_init, - vlm_rlx=vlm_rlx, - max_particles=max_particles, - wake_coupled=wake_coupled, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose, v_lvl=v_lvl+1, - save_code=splitdir(@__FILE__)[1], - save_horseshoes=false - ) - return pfield, wing#, rotor -end - -function generate_monitor_wing(wing, b, ar, nsteps, Vinf, rhoinf, qinf, magVinf, - wake_coupled; - figname="monitor_wing", nsteps_plot=1, - disp_plot=true, figsize_factor=5/6, - save_path=nothing, run_name="wing", - nsteps_savefig=10, - extra_plots=true) - - # ------------- SIMULATION MONITOR ----------------------------------------- - y2b = 2*wing._ym/b - - # Weber's lift distribution data (Table 3) - web_2yb = [0.0, 0.041, 0.082, 0.163, 0.245, 0.367, 0.510, 0.653, 0.898, 0.949] - web_Cl = [0.235, 0.241, 0.248, 0.253, 0.251, 0.251, 0.251, 0.246, 0.192, 0.171] - web_CL = 0.238 - web_ClCL = web_Cl/web_CL - - # Weber's drag distribution data (Table 3) - web_Cd = [0.059, 0.025, 0.016, 0.009, 0.007, 0.006, 0.006, 0.004, -0.002, -0.007] - web_CD = 0.005 - web_CdCD = web_Cd/web_CD - - prev_wing = nothing - - # Critical length to ignore horseshoe forces - meanchord = b/ar - lencrit = 0.5*meanchord/vlm.get_m(wing) - - # Name of convergence file - if save_path!=nothing - fname = joinpath(save_path, run_name*"_convergence.csv") - end - - function extra_runtime_function(sim, PFIELD, T, DT) - - aux = PFIELD.nt/nsteps - clr = (1-aux, 0, aux) - - if PFIELD.nt==0 && (disp_plot || save_path!=nothing) - figure(figname, figsize=[7*2, 5*2]*figsize_factor) - subplot(221) - xlim([-1,1]) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"$\frac{Cl}{CL}$") - title("Spanwise lift distribution") - - subplot(222) - xlim([-1,1]) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"$\frac{Cd}{CD}$") - title("Spanwise drag distribution") - - subplot(223) - xlabel("Simulation time (s)") - ylabel(L"Lift Coefficient $C_L$") - - subplot(224) - xlabel("Simulation time (s)") - ylabel(L"Drag Coefficient $C_D$") - - figure(figname*"_2", figsize=[7*2, 5*1]*figsize_factor) - subplot(121) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"Circulation $\Gamma$") - subplot(122) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"Effective velocity $V_\infty$") - - if extra_plots - for num in 1:3 # (1==ApA, 2==AB, 3==BBp) - figure(figname*"_3_$num", figsize=[7*3, 5*3]*figsize_factor) - suptitle("Velocitiy at $(num==1 ? "ApA" : num==2 ? "AB" : "BBp")") - for i in 7:9; subplot(330+i); xlabel(L"$\frac{2y}{b}$"); end - subplot(331) - ylabel(L"$V_\mathrm{VPM}$ Velocity") - subplot(334) - ylabel(L"$V_\mathrm{VLM}$ Velocity") - subplot(337) - ylabel(L"$V_\mathrm{kin}$ and $V_\infty$ Velocity") - subplot(331) - title(L"$x$-component") - subplot(332) - title(L"$y$-component") - subplot(333) - title(L"$z$-component") - end - figure(figname*"_4", figsize=[7*3, 5*1]*figsize_factor) - for num in 1:3 - subplot(130+num) - title("Length at $(num==1 ? "ApA" : num==2 ? "AB" : "BBp")") - xlabel(L"$\frac{2y}{b}$") - if num==1; ylabel("Bound-vortex length"); end; - end - end - - # Convergence file header - if save_path!=nothing - f = open(fname, "w") - print(f, "T,CL,CD\n") - close(f) - end - end - - if PFIELD.nt!=0 && PFIELD.nt%nsteps_plot==0 && (disp_plot || save_path!=nothing) - figure(figname) - - # Force at each VLM element - Ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t, - lencrit=lencrit) - L, D, S = uns.decompose(Ftot, [0,0,1], [-1,0,0]) - vlm._addsolution(wing, "L", L) - vlm._addsolution(wing, "D", D) - vlm._addsolution(wing, "S", S) - - # Force per unit span at each VLM element - Vout, lenout = extra_plots ? ([], []) : (nothing, nothing) - ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t, per_unit_span=true, - Vout=Vout, lenout=lenout, - lencrit=lencrit) - l, d, s = uns.decompose(ftot, [0,0,1], [-1,0,0]) - - # Lift of the wing - Lwing = norm(sum(L)) - CLwing = Lwing/(qinf*b^2/ar) - ClCL = norm.(l) / (Lwing/b) - - # Drag of the wing - Dwing = norm(sum(D)) - CDwing = Dwing/(qinf*b^2/ar) - CdCD = [sign(dot(this_d, [1,0,0])) for this_d in d].*norm.(d) / (Dwing/b) # Preserves the sign of drag - - vlm._addsolution(wing, "Cl/CL", ClCL) - vlm._addsolution(wing, "Cd/CD", CdCD) - - subplot(221) - plot(web_2yb, web_ClCL, "ok", label="Weber's experimental data") - plot(-web_2yb, web_ClCL, "ok") - plot(y2b, ClCL, "-", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(222) - plot(web_2yb, web_CdCD, "ok", label="Weber's experimental data") - plot(-web_2yb, web_CdCD, "ok") - plot(y2b, CdCD, "-", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(223) - plot([0, T], web_CL*ones(2), ":k", label="Weber's experimental data") - plot([T], [CLwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(224) - plot([0, T], web_CD*ones(2), ":k", label="Weber's experimental data") - plot([T], [CDwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - figure(figname*"_2") - subplot(121) - plot(y2b, wing.sol["Gamma"], "-", label="FLOWVLM", alpha=0.5, color=clr) - if wake_coupled && PFIELD.nt!=0 - subplot(122) - plot(y2b, norm.(wing.sol["Vkin"])/magVinf, "-", label="FLOWVLM", alpha=0.5, color=[clr[1], 1, clr[3]]) - if "Vvpm" in keys(wing.sol) - plot(y2b, norm.(wing.sol["Vvpm"]), "-", label="FLOWVLM", alpha=0.5, color=clr) - end - plot(y2b, [norm(Vinf(vlm.getControlPoint(wing, i), T)) for i in 1:vlm.get_m(wing)], - "-k", label="FLOWVLM", alpha=0.5) - end - - if extra_plots - m = vlm.get_m(wing) - for num in 1:3 # (1==ApA, 2==AB, 3==BBp) - figure(figname*"_3_$num") - for Vi in 1:3 # (1==Vvpm, 2==Vvlm, 3==Vinf && Vkin) - for xi in 1:3 # (1==Vx, 2==Vy, 3==Vz) - subplot(330 + (Vi-1)*3 + xi) - if Vi!=3 - plot(y2b, [Vout[(i-1)*3 + num][Vi][xi] for i in 1:m], color=clr, alpha=0.5) - else - plot(y2b, [Vout[(i-1)*3 + num][Vi][xi] for i in 1:m], "k", alpha=0.5) - plot(y2b, [Vout[(i-1)*3 + num][Vi+1][xi] for i in 1:m], color=clr, alpha=0.5) - end - end - end - end - figure(figname*"_4") - for num in 1:3 - subplot(130+num) - plot(y2b, [lenout[(i-1)*3 + num] for i in 1:m], color=clr, alpha=0.5) - end - end - if save_path!=nothing - - # Write rotor position and time on convergence file - f = open(fname, "a") - print(f, T, ",", CLwing, ",", CDwing, "\n") - close(f) - - # Save figures - if PFIELD.nt%nsteps_savefig==0 - figure(figname) - savefig(joinpath(save_path, run_name*"_convergence.png"), - transparent=false) - figure(figname*"_2") - savefig(joinpath(save_path, run_name*"_convergence2.png"), - transparent=false) - end - end - end - - prev_wing = deepcopy(wing) - - return false - end -end diff --git a/examples/DEPRECATED/blownwing/blownwing_noise.jl b/examples/DEPRECATED/blownwing/blownwing_noise.jl deleted file mode 100644 index 63e61fe5..00000000 --- a/examples/DEPRECATED/blownwing/blownwing_noise.jl +++ /dev/null @@ -1,336 +0,0 @@ - -function postprocessing_noise( - save_path::String; - # ---------- AERO SIMULATION INFO ---------- - num0=600, # First time step to analyze - nrevs=3, # Number of revs to analyze - nsteps_per_rev=72, # Time steps per revolution - dt=0.195516/2160, # Time step size - Vvehicle=23.384*[-1, 0, 0], # Velocity of vehicle - rotorsystems=[[2, 2]], # rotorsystems[si][ri] is the number of blades of the ri-th rotor in the si-th system - rho=1.225, # (kg/m^3) air density - speedofsound=343, # (m/s) speed of sound - # ---------- OBSERVERS ------------------------- - loading=true, # Include loading pressure - sph_R=1.5*1.693, sph_nR=0, sph_ntht=24, # Sphere definition - sph_nphi=24, sph_phimax=180, - sph_rotation=[0, 90, 0], - sph_C=zeros(3), - microphoneX=nothing, # If given, replaces sphere with one observer at this position - ww_nummin=0, # Starts calculating acoustics after this time steps - ww_numless=0, # It doesn't calculate acoustic on this last time steps - # ---------- INPUT OPTIONS --------------------- - read_path="/media/edoalvar/MyExtDrive/simulationdata5/fvs_blownwing11_alloutputs_noise/aero_rawoutputs/", - wopwopbin="/home/edoalvar/Dropbox/FLOWResearch/OtherCodes/PSU-WOPWOP_v3.4.3_B3385/wopwop3_serial", # WW binary - # ---------- OUTPUT OPTIONS -------------------- - verbose=true, v_lvl=0, - prompt=true, debug_paraview=false, - debuglvl=1, # WW debug level - observerf_name="observergrid", # .xyz file with observer grid - rotor_name="blownwing", # Rotor name for vtks - case_name="runcase", # Name of case to create and run - ) - - numf = ceil(Int, num0 + nrevs*nsteps_per_rev) # Final step to analyze - tmax = dt*(numf-num0) # Final time in aero simulation - - # ww_nt = numf-num0+1 # Number of time steps in PSU-WOPWOP - # ww_tMax = tmax # (s) end time in PSU-WOPWOP - # ww_dt = ww_tMax/ww_nt # (s) time step size in PSU-WOPWOP - - ww_tMin = dt*ww_nummin # (s) start time in PSU-WOPWOP - ww_nt = (numf-ww_numless)-(num0+ww_nummin) # Number of time steps in PSU-WOPWOP - ww_dt = dt # (s) time step size in PSU-WOPWOP - ww_tMax = ww_tMin + dt*ww_nt # (s) end time in PSU-WOPWOP - - org_pwd = pwd() - cd(org_pwd) - - def_wopwopbin = "wopwop3" # Copy wopwopbin with this name - - - if verbose; println("\t"^(v_lvl)*"Aero time steps range: $(num0) to $(numf)"); end; - if verbose; println("\t"^(v_lvl)*"WOPWOP time steps range: $(num0+ww_nummin) to $(numf-ww_numless)"); end; - - if ww_nt<=0 - error("Insufficient time steps in WOPWOP: ww_nt=$(ww_nt)") - end - - ############################################################################ - # WORK-DIRECTORY SETUP - ############################################################################ - if verbose; println("\t"^(v_lvl)*"Creating work directory..."); end; - - # Create path where to run this case - gt.create_path(save_path, prompt) - - # Copy PSU-WOPWOP binary - cp(wopwopbin, joinpath(save_path, def_wopwopbin); remove_destination=true) - - # Make that path the work directory - cd(save_path) - - # Create file with cases to run - f = open("cases.nam", "w") - print(f, - """ - &casename - globalFolderName='./$(case_name)/' - caseNameFile='$(case_name).nam' - / - """ - ) - close(f) - - # Create directory of case to run - if !ispath(case_name) - mkdir(case_name) - end - - # String of VTKs - prv_str = case_name*"/" - - - # Create file case driver - f = open(joinpath(case_name, "$(case_name).nam"), "w") - - # Environment - str = - """ - &EnvironmentIn - - nbContainer=1 - ASCIIOutputFlag=.true. - audioFlag=.$(microphoneX!=nothing). - - OASPLdBFlag = .true. - OASPLdBAFlag = .true. - spectrumFlag = .true. - SPLdBFlag = .true. - SPLdBAFlag = .true. - acousticPressureFlag=.true. - pressureGradient1AFlag = .false. - - debugLevel = $debuglvl - - thicknessNoiseFlag=.true. - loadingNoiseFlag=.$(loading). - totalNoiseFlag=.$(loading). - - / - &EnvironmentConstants - rho = $rho - c = $speedofsound - / - """ - print(f, str) - - ############################################################################ - # SPHERE/MICROPHONE OBSERVER SETUP - ############################################################################ - if microphoneX != nothing - # Declare observer in case file - str = - """ - &ObserverIn - nbBase = $(Vvehicle!=nothing ? 2 : 0) - nt = $(ww_nt) - xLoc = $(microphoneX[1]) - yLoc = $(microphoneX[2]) - zLoc = $(microphoneX[3]) - tMin = $(ww_tMin) - tMax = $(ww_tMax) - / - """ - print(f, str) - - else - if verbose; println("\t"^(v_lvl)*"Creating spherical observer grid..."); end; - grid = noise.observer_sphere(sph_R, sph_nR, sph_ntht, sph_nphi; - phimax=sph_phimax, - C=sph_C, - save_path=case_name, - file_name=observerf_name, - rotation=sph_rotation, - fmt="plot3d") - - # Declare observer in case file - str = - """ - &ObserverIn - nbBase = $(Vvehicle!=nothing ? 1 : 0) - nt = $(ww_nt) - fileName = "$(observerf_name).xyz" - tMin = $(ww_tMin) - tMax = $(ww_tMax) - / - """ - print(f, str) - - if debug_paraview - - gt.save(grid, observerf_name; path=case_name*"/") - prv_str *= observerf_name*".vtk;" - - # run(`paraview --data=$prv_str`) - end - end - - # Translates the observer with the velocity of the vehicle - if Vvehicle != nothing - str = - """ - &CB - Title='ObserverTranslation' - iB=1 - TranslationType='KnownFunction' - Y0=$(dt*num0*Vvehicle[1]),$(dt*num0*Vvehicle[2]),$(dt*num0*Vvehicle[3]) - VH=$(Vvehicle[1]),$(Vvehicle[2]),$(Vvehicle[3]) - / - """ - print(f, str) - end - - - ############################################################################ - # GEOMETRY PRE-PROCESSING - ############################################################################ - if verbose; println("\t"^(v_lvl)*"Generating WOPWOP geometry files..."); end; - - # Collect all loft VTKs into one WOPWOP file per blade - for (si, rotors) in enumerate(rotorsystems) # Iterate over systems - for (ri, nBlades) in enumerate(rotors) # Iterate over rotors - for bi in 1:nBlades - - # NOTE: Here I am hardcoding the name suffix of the rotor without including the system - # You'll have to fix this to make it more general - fname = rotor_name*"_Rotor$(ri)_Blade$(bi)_loft" - fnameout = rotor_name*"_Sys$(si)_Rotor$(ri)_Blade$(bi)_loft" - - if verbose; println("\t"^(v_lvl+1)*"file $(fname)..."); end; - - noise.vtk2wopwop(fname, fnameout*".wop"; - read_path=read_path, save_path=case_name, - nums=num0:numf, - t0=0.0, tf=tmax, period=nothing) - end - end - end - - - # Collect all lifting-line VTKs into one WOPWOP file per blade - if loading - for (si, rotors) in enumerate(rotorsystems) # Iterate over systems - for (ri, nBlades) in enumerate(rotors) # Iterate over rotors - for bi in 1:nBlades - - fname = rotor_name*"_Sys$(si)_Rotor$(ri)_Blade$(bi)_compact" - fnameout = rotor_name*"_Sys$(si)_Rotor$(ri)_Blade$(bi)_compact" - - if verbose; println("\t"^(v_lvl+1)*"file $(fname)..."); end; - - noise.vtk2wopwop(fname, fnameout*".wop"; - read_path=read_path, save_path=case_name, - nums=num0:numf, - t0=0.0, tf=tmax, period=nothing, - compact=true) - end - end - end - end - - if verbose; println("\t"^(v_lvl)*"Generating WOPWOP loading files..."); end; - - # Collect all loading files into one WOPWOP loading file per blade - if loading - for (si, rotors) in enumerate(rotorsystems) # Iterate over systems - uns.generate_wopwoploading(read_path, case_name, num0:numf; - # INPUT OPTIONS - filename="loading_Sys$(si)", fieldname="Ftot", - filenameout=rotor_name*"_Sys$(si)", - # PROCESSING OPTIONS - period=nothing, - t0=0.0, dt=dt, - structured=false - ) - end - end - - - ############################################################################ - # SPECIFY ROTOR FILES IN PSU-WOPWOP - ############################################################################ - - # Count total number of blades - totnblades = 0 - for (si, rotors) in enumerate(rotorsystems) # Iterate over systems - for (ri, nBlades) in enumerate(rotors) # Iterate over rotors - totnblades += nBlades - end - end - - # Build rotor description for PSU-WOPWOP - str = - """ - &ContainerIn - dTau = $(ww_dt) - nbBase = 0 - nbContainer = $((2^loading)*totnblades) - / - """ - for (si, rotors) in enumerate(rotorsystems) # Iterate over systems - for (ri, nBlades) in enumerate(rotors) # Iterate over rotors - for bi in 1:nBlades - # Loft surface patch for thickness - str *= - """ - &ContainerIn - patchGeometryFile="$(rotor_name)_Sys$(si)_Rotor$(ri)_Blade$(bi)_loft.wop" - nbBase=0 - / - """ - if loading - str *= - """ - &ContainerIn - patchGeometryFile="$(rotor_name)_Sys$(si)_Rotor$(ri)_Blade$(bi)_compact.wop" - patchLoadingFile="$(rotor_name)_Sys$(si)_Rotor$(ri)_Blade$(bi)_loading_aperiodic.wop" - nbBase=0 - / - """ - end - end - end - end - - print(f, str) - - - if debug_paraview && microphoneX==nothing - if verbose - println("\t"^(v_lvl)*"Showing Grid and rotor before running WOPWOP...") - println("") - println("\t"^(v_lvl+1)*"CLOSE PARAVIEW TO CONTINUE") - println("") - end - run(`paraview --data=$prv_str`) - end - - - ####################################################################### - # Run PSU-WOPWOP - ####################################################################### - if verbose; println("\t"^(v_lvl)*"Running PSU-WOPWOP (see log.txt)..."); end; - - # Close case file - close(f) - - # Run PSU-WOPWOP - cmd2 = "> log.txt" - run(`chmod +x $(def_wopwopbin)`) - run(`./$(def_wopwopbin) $cmd2`) - - cd(org_pwd) - - return microphoneX == nothing ? grid : nothing -end diff --git a/examples/DEPRECATED/blownwing/blownwing_postprocessing.jl b/examples/DEPRECATED/blownwing/blownwing_postprocessing.jl deleted file mode 100644 index 2a8e2a64..00000000 --- a/examples/DEPRECATED/blownwing/blownwing_postprocessing.jl +++ /dev/null @@ -1,81 +0,0 @@ -#=############################################################################## -# DESCRIPTION - Simulation postprocessing - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Jan 2020 - * License : MIT -=############################################################################### - -""" - Given the path of a simulation `read_path`, it will read the particle field -in time steps `nums` and it will calculate and output the velocity and vorticity -field in a prescribed fluid domain. -""" -function postprocessing_fluiddomain(read_path::String, nums, save_path::String; - b=1.693, R=0.127, Vvehicle=23.384*[-1, 0, 0], - dt=0.195516/2160, ndx=10, - run_name="blownwing", Vinf=(x,t)->zeros(3), - verbose=true, v_lvl=0, prompt=true) - - gt.create_path(save_path, prompt) - - # ------------------- Generate fluid domain grid --------------------------- - if verbose; println("\t"^(v_lvl)*"Creating grid..."); end; - lx = 1.00*b # Length in x-direction - ly = 1.10*b # Length in y-direction - lz = 2.35*R # Length in z-direction - - dx = R/ndx # Element size in x-direction - dy = dx # Element size in y-direction - dz = dx # Element size in z-direction - - P_min = [0.0, -ly/2, -lz/2*1.1] # Minimum bounding point of grid - P_max = P_min + [lx, ly, lz] # Maximum bounding point of grid - - NDIVS = ceil.(Int, [lx/dx, ly/dy, lz/dz]) # Number of cells in each direction - - grid = gt.Grid(P_min, P_max, NDIVS) - - # ------------------- Evaluate fuild domain -------------------------------- - if verbose; println("\t"^(v_lvl)*"Evaluating fluid domain...\t$(grid.nnodes) nodes"); end; - - prevX = zeros(3) - - for (i, num) in enumerate(nums) - if verbose; print("\t"^(v_lvl+1)*"Processing step $i of $(length(nums)):"); end; - - curX = (dt*num)*Vvehicle # Current position of grid - - # Translate grid - gt.lintransform!(grid, eye(3), curX-prevX) - - # Read particle field - pfield = uns.vpm.read_vtk(run_name*"_pfield", Vinf, nothing; path=read_path, - num=num, solver_method="ExaFMM") - - # Eliminates particles outside the domain to save computation - xmax = gt.get_node(grid, NDIVS+1)[1] - for p in uns.vpm.get_np(pfield):-1:1 - if uns.vpm.get_x(pfield, p)[1]>xmax - uns.vpm.delparticle(pfield, p) - end - end - - if verbose; println("\t$(uns.vpm.get_np(pfield)) particles"); end; - - # Evaluate particle field velocity - nodes = [gt.get_node(grid, n) for n in 1:grid.nnodes] - @time _, U, W, dUdX = uns.vpm.conv(pfield, "ExaFMM"; Uprobes=nodes, vorticity=true) - - gt.add_field(grid, "U", "vector", U, "node"; raise_warn=false) - gt.add_field(grid, "W", "vector", W, "node"; raise_warn=false) - gt.save(grid, run_name*"_Grid"; path=save_path, num=num) - - prevX .= curX - end - - return nothing -end diff --git a/examples/DEPRECATED/blownwing/blownwing_singleprop.jl b/examples/DEPRECATED/blownwing/blownwing_singleprop.jl deleted file mode 100644 index 363ea3f1..00000000 --- a/examples/DEPRECATED/blownwing/blownwing_singleprop.jl +++ /dev/null @@ -1,311 +0,0 @@ -#=############################################################################## -# DESCRIPTION -Test rotor model simulating an isolated 10in propeller in forward flight. The -rotor and configuration approximates the APC Thin Electric 10x7 propeller as -used in McCrink, M. H., & Gregory, J. W. (2017), *Blade Element Momentum -Modeling of Low-Reynolds Electric Propulsion Systems*. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Dec 2019 - * License : MIT -=############################################################################### - -# ------------------------------------------------------------------------------ - -function singleprop(; xfoil=true, - # OUTPUT OPTIONS - save_path=nothing, - run_name="singlerotor", - prompt=true, - verbose=true, v_lvl=0) - - # TODO: Wake removal ? - - # ------------ PARAMETERS -------------------------------------------------- - - # Rotor geometry - rotor_file = "apc10x7.csv" # Rotor geometry - data_path = uns.def_data_path # Path to rotor database - pitch = 0.0 # (deg) collective pitch of blades - n = 10 # Number of blade elements - CW = false # Clock-wise rotation - # xfoil = false # Whether to run XFOIL - - # Read radius of this rotor and number of blades - R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]] - - # Simulation parameters - J = 0.6 # Advance ratio Vinf/(nD) - ReD07 = 1.5e6 # Diameter-based Reynolds at 70% span - ReD = ReD07/0.7 # Diameter-based Reynolds - rho = 1.225 # (kg/m^3) air density - mu = 1.81e-5 # (kg/ms) air dynamic viscosity - nu = mu/rho - sound_spd = 343 # (m/s) speed of sound - RPM = uns.calc_RPM(ReD, J, R, 2*R, nu) # RPM - magVinf = J*RPM/60*2*R # (m/s) freestream velocity - Minf = magVinf / sound_spd - Mtip = 2*pi*RPM/60*R / sound_spd - - if verbose - println("\t"^(v_lvl+1)*"OPERATION PARAMETERS") - println("\t"^(v_lvl+2)*"J:\t\t$(J)") - println("\t"^(v_lvl+2)*"ReD07:\t\t$(ReD07)") - println("\t"^(v_lvl+2)*"RPM:\t\t$(ceil(Int, RPM))") - println("\t"^(v_lvl+2)*"Mtip:\t\t$(round(Mtip, digits=3))") - println("\t"^(v_lvl+2)*"Minf:\t\t$(round(Minf, digits=3))") - end - - Vinf(X,t) = magVinf*[1.0,0,0] # (m/s) freestream velocity - - # Solver parameters - nrevs = 8 # Number of revolutions in simulation - # nsteps_per_rev = 72 # Time steps per revolution - nsteps_per_rev = 36 - # p_per_step = 2 # Sheds per time step - p_per_step = 1 - ttot = nrevs/(RPM/60) # (s) total simulation time - nsteps = nrevs*nsteps_per_rev # Number of time steps - lambda = 2.125 # Core overlap - overwrite_sigma = lambda * 2*pi*R/(nsteps_per_rev*p_per_step) # Smoothing core size - surf_sigma = R/10 # Smoothing radius of lifting surface - # vlm_sigma = surf_sigma # Smoothing radius of VLM - vlm_sigma = -1 - shed_unsteady = true # Shed particles from unsteady loading - - max_particles = ((2*n+1)*B)*nrevs*nsteps_per_rev*p_per_step # Max particles for memory pre-allocation - plot_disc = true # Plot blade discretization for debugging - - - # ------------ SIMULATION SETUP -------------------------------------------- - # Generate rotor - rotor = uns.generate_rotor(rotor_file; pitch=pitch, - n=n, CW=CW, ReD=ReD, - verbose=verbose, xfoil=xfoil, - data_path=data_path, - plot_disc=plot_disc) - # ----- VEHICLE DEFINITION - # System of all FLOWVLM objects - system = vlm.WingSystem() - vlm.addwing(system, run_name, rotor) - - # Systems of rotors - rotors = vlm.Rotor[rotor] # Defining this rotor as its own system - rotor_systems = (rotors,) - - # Wake-shedding system - wake_system = vlm.WingSystem() - vlm.addwing(wake_system, run_name, rotor) - - # FVS's Vehicle object - vehicle = uns.VLMVehicle( system; - rotor_systems=rotor_systems, - wake_system=wake_system - ) - - # ----- MANEUVER DEFINITION - RPM_fun(t) = 1.0 # RPM (normalized by reference RPM) as a - # function of normalized time - - angle = () # Angle of each tilting system (none in this case) - sysRPM = (RPM_fun, ) # RPM of each rotor system - Vvehicle(t) = zeros(3) # Translational velocity of vehicle over Vcruise - anglevehicle(t) = zeros(3) # (deg) angle of the vehicle - - # FVS's Maneuver object - maneuver = uns.KinematicManeuver(angle, sysRPM, Vvehicle, anglevehicle) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; vis_nsteps=nsteps) - - - # ----- SIMULATION DEFINITION - RPMref = RPM - Vref = 0.0 - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot) - - monitor = generate_monitor_prop(J, rho, RPM, nsteps; save_path=save_path, - run_name=run_name) - - - # ------------ RUN SIMULATION ---------------------------------------------- - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - surf_sigma=surf_sigma, - max_particles=max_particles, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose, v_lvl=v_lvl, - save_code=splitdir(@__FILE__)[1], - ) - return pfield, rotor -end - - -""" -Generate monitor for rotor performance parameters -""" -function generate_monitor_prop(J, rho, RPM, nsteps; save_path=nothing, - run_name="singlerotor", - figname="monitor_rotor", disp_conv=true, - nsteps_savefig=10) - - fcalls = 0 # Number of function calls - - colors="rgbcmy"^100 - stls = "o^*.px"^100 - - # Name of convergence file - if save_path!=nothing - fname = joinpath(save_path, run_name*"_convergence.csv") - end - - # Function for run_vpm! to call on each iteration - function extra_runtime_function(sim::uns.Simulation{V, M, R}, - PFIELD::uns.vpm.ParticleField, - T::Real, DT::Real - ) where{V<:uns.AbstractVLMVehicle, M, R} - - rotors = vcat(sim.vehicle.rotor_systems...) - angle = T*360*RPM/60 - - - # Call figure - if disp_conv; fig = figure(figname, figsize=(7*3,5*2)); end; - - if fcalls==0 - # Format subplots - if disp_conv - subplot(231) - title("Circulation Distribution") - xlabel("Element index") - ylabel(L"Circulation $\Gamma$ (m$^2$/s)") - grid(true, color="0.8", linestyle="--") - subplot(232) - title("Plane-of-rotation Normal Force") - xlabel("Element index") - ylabel(L"Normal Force $N_p$ (N)") - grid(true, color="0.8", linestyle="--") - subplot(233) - title("Plane-of-rotation Tangential Force") - xlabel("Element index") - ylabel(L"Tangential Force $T_p$ (N)") - grid(true, color="0.8", linestyle="--") - subplot(234) - xlabel(L"Age $\psi$ ($^\circ$)") - ylabel(L"Thrust $C_T$") - grid(true, color="0.8", linestyle="--") - subplot(235) - xlabel(L"Age $\psi$ ($^\circ$)") - ylabel(L"Torque $C_Q$") - grid(true, color="0.8", linestyle="--") - subplot(236) - xlabel(L"Age $\psi$ ($^\circ$)") - ylabel(L"Propulsive efficiency $\eta$") - grid(true, color="0.8", linestyle="--") - end - - # Convergence file header - if save_path!=nothing - f = open(fname, "w") - print(f, "age (deg),T,DT") - for (i, rotor) in enumerate(rotors) - print(f, ",RPM_$i,CT_$i,CQ_$i,eta_$i") - end - print(f, "\n") - close(f) - end - end - - # Write rotor position and time on convergence file - if save_path!=nothing - f = open(fname, "a") - print(f, angle, ",", T, ",", DT) - end - - - # Plot circulation and loads distributions - if disp_conv - - cratio = PFIELD.nt/nsteps - cratio = cratio > 1 ? 1 : cratio - clr = fcalls==0 && false ? (0,0,0) : (1-cratio, 0, cratio) - stl = fcalls==0 && false ? "o" : "-" - alpha = fcalls==0 && false ? 1 : 0.5 - - # Circulation distribution - subplot(231) - this_sol = [] - for rotor in rotors - this_sol = vcat(this_sol, [vlm.get_blade(rotor, j).sol["Gamma"] for j in 1:rotor.B]...) - end - plot(1:size(this_sol,1), this_sol, stl, alpha=alpha, color=clr) - - # Np distribution - subplot(232) - this_sol = [] - for rotor in rotors - this_sol = vcat(this_sol, rotor.sol["Np"]["field_data"]...) - end - plot(1:size(this_sol,1), this_sol, stl, alpha=alpha, color=clr) - - # Tp distribution - subplot(233) - this_sol = [] - for rotor in rotors - this_sol = vcat(this_sol, rotor.sol["Tp"]["field_data"]...) - end - plot(1:size(this_sol,1), this_sol, stl, alpha=alpha, color=clr) - end - - # Plot performance parameters - for (i,rotor) in enumerate(rotors) - CT, CQ = vlm.calc_thrust_torque_coeffs(rotor, rho) - eta = J*CT/(2*pi*CQ) - - if disp_conv - subplot(234) - plot([angle], [CT], "$(stls[i])", alpha=alpha, color=clr) - subplot(235) - plot([angle], [CQ], "$(stls[i])", alpha=alpha, color=clr) - subplot(236) - plot([angle], [eta], "$(stls[i])", alpha=alpha, color=clr) - end - - if save_path!=nothing - print(f, ",", rotor.RPM, ",", CT, ",", CQ, ",", eta) - end - end - - if disp_conv - # Save figure - if fcalls%nsteps_savefig==0 && fcalls!=0 && save_path!=nothing - savefig(joinpath(save_path, run_name*"_convergence.png"), - transparent=false) - end - end - - # Close convergence file - if save_path!=nothing - print(f, "\n") - close(f) - end - - fcalls += 1 - - return false - end - - return extra_runtime_function -end diff --git a/examples/DEPRECATED/heavingwing.jl b/examples/DEPRECATED/heavingwing.jl deleted file mode 100644 index 1f4b32f3..00000000 --- a/examples/DEPRECATED/heavingwing.jl +++ /dev/null @@ -1,347 +0,0 @@ -#=############################################################################## -# DESCRIPTION -Test FLOWVLM solver on kinematics of an isolated, planar, swept, wing in -heaving motion - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Oct 2019 - * License : MIT -=############################################################################### - -# ------------ MODULES --------------------------------------------------------- -# Load simulation engine -import FLOWUnsteady -uns = FLOWUnsteady -vlm = uns.vlm - -import GeometricTools -gt = GeometricTools - -using PyPlot -using LinearAlgebra: norm, dot, cross - -# ------------ GLOBAL VARIABLES ------------------------------------------------ -# Default path where to save data -# extdrive_path = "/media/edoalvar/MyExtDrive/simulationdata7/" -extdrive_path = "temps/" - - - -# ------------ DRIVERS --------------------------------------------------------- -function run_heavingwing() - heavingwing(; nsteps=400, p_per_step=1, vlm_rlx=0.75, - VehicleType=uns.VLMVehicle, - save_path=extdrive_path*"bertinsheaving30/", - verbose=true, disp_plot=true) -end - - -# ------------------------------------------------------------------------------ -""" - Test FLOWVLM solver on kinematics of an isolated, planar, swept, wing in - heaving motion. -""" -function heavingwing(; # TEST OPTIONS - VehicleType=uns.VLMVehicle, - tol=0.025, - wake_coupled=true, - nsteps=150, - vlm_fsgm=-1, - p_per_step = 1, - vlm_rlx = -1, - # OUTPUT OPTIONS - save_path=nothing, - run_name="bertins", - prompt=true, - verbose=true, verbose2=true, v_lvl=1, - disp_plot=true, figsize_factor=5/6 - ) - - if verbose; println("\t"^(v_lvl)*"Running Bertin's wing test..."); end; - - # ------------- GENERATE BERTIN'S WING ------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating geometry..."); end; - # Experimental conditions - magVinf = 163*0.3048 # (m/s) freestream - rhoinf = 9.093/10^1 # (kg/m^3) air density - alpha = 4.2 # (deg) angle of attack - qinf = 0.5*rhoinf*magVinf^2 # (Pa) static pressure - - # Geometry - twist = 0.0 # (deg) root twist - lambda = 45.0 # (deg) sweep - gamma = 0.0 # (deg) Dihedral - b = 98*0.0254 # (m) span - ar = 5.0 # Aspect ratio - tr = 1.0 # Taper ratio - - # Discretization - n = 4*2^4 # Number of horseshoes - r = 12.0 # Geometric expansion - central = false # Central expansion - - # Freestream function - # Vinf(X, t) = 1e-12*ones(3) # (Don't make this zero or things will break) - # Here I had to give it an initial freestream or the unsteady shedding would - # in the first step - Vinf(X, t) = t==0 ? magVinf*[1,0,0] : 1e-12*ones(3) - - # Generate wing - wing = vlm.simpleWing(b, ar, tr, twist, lambda, gamma; - n=n, r=r, central=central) - - # Pitch wing to corresponding angle of attack - O = zeros(3) # Coordinate system origin - Oaxis = gt.rotation_matrix2(0.0, -alpha, 0.0) # Coordinate system axes - vlm.setcoordsystem(wing, O, Oaxis) - - - # ------------- SIMULATION SETUP ------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Simulation setup..."); end; - - wake_len = 8*b # (m) length to develop the wake - lambda_vpm = 2.0 # target core overlap of vpm wake - - # Simulation options - telapsed = wake_len/magVinf # (s) total time to perform maneuver - # nsteps = 2000 # Number of time steps - Vcruise = magVinf # (m/s) aircraft velocity during cruise - RPMh_w = 0.0 # Rotor RPM during hover (dummy) - - # Solver options - # p_per_step = 1 # Number of particle sheds per time steps - overwrite_sigma = lambda_vpm * magVinf * (telapsed/nsteps)/p_per_step # Smoothing core size - # vlm_sigma = -1 # VLM regularization core size (deactivated with -1) - vlm_sigma = vlm_fsgm*b - surf_sigma = overwrite_sigma - # wake_coupled = true # Coupled VPM wake with VLM solution - shed_unsteady = true # Whether to shed unsteady-loading wake - # shed_unsteady = false - # vlm_rlx = -1 # VLM relaxation (deactivated with -1) - - # System definitions - system = vlm.WingSystem() # System of all FLOWVLM objects - vlm.addwing(system, "BertinsWing", wing) - - vlm_system = system # System solved through VLM solver - wake_system = system # System that will shed a VPM wake - - # Vehicle definition - vehicle = VehicleType( system; - vlm_system=vlm_system, - wake_system=wake_system - ) - - if verbose - println("\t"^(v_lvl+1)*"Core overlap:\t\t$(lambda_vpm)") - println("\t"^(v_lvl+1)*"Core size:\t\t$(round(overwrite_sigma/b, digits=3))*b") - println("\t"^(v_lvl+1)*"Time step translation:\t$(round(magVinf * (telapsed/nsteps)/b, digits=3))*b") - end - - - # ------------- MANEUVER DEFINITION --------------------------------------- - ncycles = 10 # Number of cycles in maneuver - k = 2*pi*ncycles # Oscillation frequency - tilt_amplitude = alpha/2 # (deg) tilting amplitude - - # Translational velocity of system over Vcruise - function Vaircraft(t) - Vx = 0.75 + abs(0.25*sin(k*t/2)) - Vy = 0 - Vz = 0.1*sin(k*t) - return [-Vx, Vy, Vz] - end - # Angle of the vehicle - function angle_wing(t) - return [0, tilt_amplitude*sin(k*t), 0] - end - - angle = () # Angle of each tilting system - RPM = () # RPM of each rotor system - Vvehicle = Vaircraft # Velocity of the vehicle - anglevehicle = angle_wing # Angle of the vehicle - - maneuver = uns.KinematicManeuver(angle, RPM, Vvehicle, anglevehicle) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; vis_nsteps=nsteps) - - # Simulation setup - Vref = Vcruise # Reference velocity - RPMref = RPMh_w # Reference RPM - ttot = telapsed # Total time to perform maneuver - Vinit = Vref*Vaircraft(0) # Initial vehicle velocity - Winit = pi/180*(angle_wing(1e-6) - angle_wing(0))/(1e-6*ttot) # Initial angular velocity - # Maximum number of particles - max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.vlm_system)+1)*p_per_step) - - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; - Vinit=Vinit, Winit=Winit) - - # ------------- SIMULATION MONITOR ----------------------------------------- - y2b = 2*wing._ym/b - - # Weber's lift distribution data (Table 3) - web_2yb = [0.0, 0.041, 0.082, 0.163, 0.245, 0.367, 0.510, 0.653, 0.898, 0.949] - web_Cl = [0.235, 0.241, 0.248, 0.253, 0.251, 0.251, 0.251, 0.246, 0.192, 0.171] - web_CL = 0.238 - web_ClCL = web_Cl/web_CL - - # Weber's drag distribution data (Table 3) - web_Cd = [0.059, 0.025, 0.016, 0.009, 0.007, 0.006, 0.006, 0.004, -0.002, -0.007] - web_CD = 0.005 - web_CdCD = web_Cd/web_CD - - prev_wing = nothing - - function monitor(sim, PFIELD, T, DT; figname="monitor_$(save_path)", - nsteps_plot=1) - - aux = PFIELD.nt/nsteps - clr = (1-aux, 0, aux) - - if PFIELD.nt==0 && disp_plot - figure(figname, figsize=[7*2, 5*2]*figsize_factor) - subplot(221) - xlim([0,1]) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"$\frac{Cl}{CL}$") - title("Spanwise lift distribution") - - subplot(222) - xlim([0,1]) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"$\frac{Cd}{CD}$") - title("Spanwise drag distribution") - - subplot(223) - xlabel("Simulation time (s)") - ylabel(L"Lift Coefficient $C_L$") - - subplot(224) - xlabel("Simulation time (s)") - ylabel(L"Drag Coefficient $C_D$") - - figure(figname*"_2", figsize=[7*2, 5*1]*figsize_factor) - subplot(121) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"Circulation $\Gamma$") - subplot(122) - xlabel(L"$\frac{2y}{b}$") - ylabel(L"Effective velocity $V_\infty$") - - figure(figname*"_3", figsize=[7*2, 5*1]*figsize_factor) - subplot(121) - xlabel("Simulation time") - ylabel("Velocity") - subplot(122) - xlabel("Simulation time") - ylabel("Angular velocity") - end - - if PFIELD.nt!=0 && PFIELD.nt%nsteps_plot==0 && disp_plot - figure(figname) - - - # Force at each VLM element - Ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t) - L, D, S = uns.decompose(Ftot, [0,0,1], [-1,0,0]) - vlm._addsolution(wing, "L", L) - vlm._addsolution(wing, "D", D) - vlm._addsolution(wing, "S", S) - - # Force per unit span at each VLM element - ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t, per_unit_span=true) - l, d, s = uns.decompose(ftot, [0,0,1], [-1,0,0]) - - # Lift of the wing - Lwing = norm(sum(L)) - CLwing = Lwing/(qinf*b^2/ar) - ClCL = norm.(l) / (Lwing/b) - - # Drag of the wing - Dwing = norm(sum(D)) - CDwing = Dwing/(qinf*b^2/ar) - CdCD = [sign(dot(this_d, [1,0,0])) for this_d in d].*norm.(d) / (Dwing/b) # Preserves the sign of drag - - vlm._addsolution(wing, "Cl/CL", ClCL) - vlm._addsolution(wing, "Cd/CD", CdCD) - - subplot(221) - plot(web_2yb, web_ClCL, "ok", label="Weber's experimental data") - plot(y2b, ClCL, "-", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(222) - plot(web_2yb, web_CdCD, "ok", label="Weber's experimental data") - plot(y2b, CdCD, "-", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(223) - plot([0, T], web_CL*ones(2), ":k", label="Weber's experimental data") - plot([T], [CLwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - subplot(224) - plot([0, T], web_CD*ones(2), ":k", label="Weber's experimental data") - plot([T], [CDwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - figure(figname*"_2") - subplot(121) - plot(y2b, wing.sol["Gamma"], "-", label="FLOWVLM", alpha=0.5, color=clr) - if wake_coupled && PFIELD.nt!=0 - subplot(122) - plot(y2b, norm.(wing.sol["Vkin"])/magVinf, "-", label="FLOWVLM", alpha=0.5, color=[clr[1], 1, clr[3]]) - if VehicleType==uns.VLMVehicle - plot(y2b, norm.(wing.sol["Vvpm"]), "-", label="FLOWVLM", alpha=0.5, color=clr) - end - plot(y2b, [norm(Vinf(vlm.getControlPoint(wing, i), T)) for i in 1:vlm.get_m(wing)], - "-k", label="FLOWVLM", alpha=0.5) - end - - figure(figname*"_3") - subplot(121) - plot([sim.t], [sim.vehicle.V[1]], ".r", label=L"V_x", alpha=0.5) - plot([sim.t], [sim.vehicle.V[2]], ".g", label=L"V_y", alpha=0.5) - plot([sim.t], [sim.vehicle.V[3]], ".b", label=L"V_z", alpha=0.5) - if PFIELD.nt==1; legend(loc="best", frameon=false); end; - subplot(122) - plot([sim.t], [sim.vehicle.W[1]], ".r", label=L"\Omega_x", alpha=0.5) - plot([sim.t], [sim.vehicle.W[2]], ".g", label=L"\Omega_y", alpha=0.5) - plot([sim.t], [sim.vehicle.W[3]], ".b", label=L"\Omega_z", alpha=0.5) - if PFIELD.nt==1; legend(loc="best", frameon=false); end; - end - - prev_wing = deepcopy(wing) - - return false - end - - - # ------------- RUN SIMULATION --------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Running simulation..."); end; - # Run simulation - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - vlm_rlx=vlm_rlx, - surf_sigma=surf_sigma, - max_particles=max_particles, - wake_coupled=wake_coupled, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose2, v_lvl=v_lvl+1, - save_horseshoes=!wake_coupled - ) - - return simulation, pfield -end diff --git a/examples/DEPRECATED/rotornoise/data/zawodnydigitization2/zawodny_dji9443_spl_4800_01.csv 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false - }, - "outputs": [], - "source": [ - "import CSV\n", - "using PyPlot\n", - "\n", - "import FLOWUnsteady\n", - "import FLOWMath\n", - "\n", - "# Aliases\n", - "uns = FLOWUnsteady\n", - "vlm = FLOWUnsteady.vlm\n", - "noise = FLOWUnsteady.noise\n", - "gt = FLOWUnsteady.gt\n", - "math = FLOWMath\n", - "\n", - "# Create temps folder\n", - "if ispath(\"temps\")==false; mkdir(\"temps\"); end;" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This notebook contains an example on how to run an aeroacoustic analysis using FLOWUnsteady coupled with PSU-WOPWOP. In here we show how to generate the aerodynamic solution, how to format the solution for PSU-WOPWOP (PSW, for short), run PSW to get tonal noise, use BPM to get broadband noise, and how the outputs can be visualized in Paraview and processed in a variety of forms.\n", - "\n", - "We then compare results with experimental acoustic data from the literature." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## Test Case" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "The example shown here consists of an isolated 9.4in rotor in hover. The rotor and configuration matches the DJI 9443 propeller described in Zawodny, N. S., & Boyd, Jr., D. D., (2016), *Acoustic Characterization and Prediction of Representative, Small-scale Rotary-wing Unmanned Aircraft System Components*. See also the results shown in Alvarez, E. J., Schenk, A., Critchfield, T., and Ning, A., (2020), *Rotor-on-Rotor Aeroacoustic Interactions of Multirotor in Hover*." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "This is what the actual DJI 9443 rotor looks like:\n", - "\n", - "\"Pic" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "This is the aeroacoustic output of FLOWUnsteady:\n", - "\n", - "\"Vid" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 1:* Aerodynamic Solution" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this step we use any of the aerodynamic solvers in FLOWUnsteady to generate the aerodynamic loading and rotor geometry. In this example we are using the quasi-steady solver that uses blade-element momentum theory (BEMT) to generate the aerodynamic solution shown below. The BEMT solution predicts a $C_T$ of 0.0734, meanwhile Zawodny et al. reports an experimental $C_T$ of 0.0719. This results in an **excellent agreement, with a discrepancy of only 2\\% between FLOWUnsteady and the experimental $C_T$**." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "This is what the aerodynamic solution looks like coming out of FLOWUnsteady:\n", - "\n", - "\"Vid" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "hidden": true, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\tGenerating geometry...\n", - "\tGenerating airfoil data...\n", - "\t\tRunning XFOIL on airfoil 1 out of 7... done.\n", - "\t\tRunning XFOIL on airfoil 2 out of 7... done.\n", - "\t\tRunning XFOIL on airfoil 3 out of 7... done.\n", - "\t\tRunning XFOIL on airfoil 4 out of 7... done.\n", - "\t\tRunning XFOIL on airfoil 5 out of 7... done.\n", - "\t\tRunning XFOIL on airfoil 6 out of 7... done.\n", - "\t\tRunning XFOIL on airfoil 7 out of 7... done.\n", - "\tGenerating FLOWVLM Rotor...\n", - "-------------------------------------------------------------------------\n", - "\n", - "\tSOLVER SETTINGS\n", - "\t\t maxparticles----> 808\n", - "\t\t formulation----> formulation_sphere_momentum\n", - "\t\t viscous----> FLOWVPM.Inviscid{Float64}(0.0)\n", - "\t\t kernel----> gaussianerf\n", - "\t\t UJ----> UJ_fmm\n", - "\t\t Uinf----> (Symbol(\"*userfunction\"), \"#121\")\n", - "\t\t sgsmodel----> sgs_none\n", - "\t\t sgsscaling----> sgs_scaling_none\n", - "\t\t integration----> rungekutta3\n", - "\t\t transposed----> true\n", - "\t\t relaxation----> pedrizzetti\n", - "\t\t relax----> true\n", - "\t\t rlxf----> 0.3\n", - "\t\t fmm----> FLOWVPM.FMM(4, 50, 0.4, 0.5)\n", - "\n", - "\tSIMULATION SETTINGS\n", - "\t\tdt:\t\t\t9.259259259259259e-5\n", - "\t\tnsteps_relax:\t\t1\n", - "\t\tRuntime function:\tYes\n", - "\t\tStatic particles:\tYes\n", - "\t\tnsteps_save:\t\t1\n", - "\n", - "-------------------------------------------------------------------------\n", - "*************************************************************************\n", - "START temps/example_dji9443_00/singlerotor_pfield\n", - "\t2021-04-15T22:18:14.946\n", - "*************************************************************************\n", - "\tTime step 0 out of 2\tParticles: 0\n", - "*************************************************************************" - ] - }, - { - "data": { - "image/png": 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", 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", 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", 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", 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- "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "END temps/example_dji9443_00/singlerotor_pfield\n", - "\t2021-04-15T22:18:30.446\n", - "*************************************************************************\n", - "ELAPSED TIME: 0 hours 0 minutes 15 seconds\n" - ] - } - ], - "source": [ - "save_path = \"temps/example_dji9443_00/\" # Where to save the simulation\n", - "\n", - "\n", - "# ------------ PARAMETERS --------------------------------------------------\n", - "# Rotor geometry\n", - "rotor_file = \"DJI9443.csv\" # Rotor geometry\n", - "data_path = uns.def_data_path # Path to rotor database\n", - "pitch = 0.0 # (deg) collective pitch of blades\n", - "n = 50 # Number of blade elements\n", - "CW = true # Clock-wise rotation\n", - "xfoil = true # Whether to run XFOIL\n", - "\n", - "\n", - "# Read radius of this rotor and number of blades\n", - "R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]]\n", - "\n", - "# Simulation parameters\n", - "RPM = 5400 # RPM\n", - "J = 0.0001 # Advance ratio Vinf/(nD)\n", - "rho = 1.071778 # (kg/m^3) air density\n", - "mu = 1.85508e-5 # (kg/ms) air dynamic viscosity\n", - "speedofsound = 342.35 # (m/s) speed of sound\n", - "ReD = 2*pi*RPM/60*R * rho/mu * 2*R # Diameter-based Reynolds number\n", - "\n", - "magVinf = J*RPM/60*(2*R)\n", - "Vinf(X,t) = magVinf*[1.0, 0, 0] # (m/s) freestream velocity\n", - "\n", - "# Aerodynamic solver\n", - "# VehicleType = uns.UVLMVehicle # Unsteady solver (VPM)\n", - "VehicleType = uns.QVLMVehicle # Quasi-steady solver (BEMT)\n", - "\n", - "# Solver parameters\n", - "const_solution = VehicleType==uns.QVLMVehicle # Whether to generate a constant aero solution\n", - "nrevs = 10 # Number of revolutions in simulation\n", - "nsteps_per_rev = 120 # Time steps per revolution\n", - "nsteps = const_solution ? 2 : nrevs*nsteps_per_rev # Number of time steps\n", - "ttot = nsteps/nsteps_per_rev / (RPM/60) # (s) total simulation time\n", - "\n", - "# (Unsteady solver settings, if used)\n", - "p_per_step = 2 # Sheds per time step\n", - "lambda = 2.125 # Core overlap\n", - "overwrite_sigma = lambda * 2*pi*R/(nsteps_per_rev*p_per_step) # Smoothing core size\n", - "surf_sigma = R/10 # Smoothing radius of lifting surface\n", - "vlm_sigma = surf_sigma # Smoothing radius of VLM\n", - "shed_unsteady = true # Shed particles from unsteady loading\n", - " # Max particles for memory pre-allocation\n", - "max_particles = ((2*n+1)*B)*nsteps*p_per_step\n", - "\n", - "# OUTPUT OPTIONS\n", - "run_name = \"singlerotor\"\n", - "nsteps_save = 1 # Save vtks every this many steps\n", - "save_wopwopin = true # Generate inputs for PSU-WOPWOP\n", - "prompt = false # Whether to promp the user\n", - "verbose = true # Enable verbose\n", - "plot_disc = true # Plot blade discretization for debugging\n", - "\n", - "\n", - "\n", - "\n", - "# ------------ SIMULATION SETUP --------------------------------------------\n", - "# Generate rotor\n", - "rotor = uns.generate_rotor(rotor_file; pitch=pitch,\n", - " n=n, CW=CW, ReD=ReD, altReD=[RPM, J, mu/rho],\n", - " verbose=verbose, xfoil=xfoil,\n", - " data_path=data_path,\n", - " plot_disc=plot_disc)\n", - "\n", - "# ----- VEHICLE DEFINITION\n", - "# System of all FLOWVLM objects\n", - "system = vlm.WingSystem()\n", - "vlm.addwing(system, \"Rotor1\", rotor)\n", - "\n", - "# Systems of rotors\n", - "rotors = vlm.Rotor[rotor] # Defining this rotor as its own system\n", - "rotor_systems = (rotors,)\n", - "\n", - "# Wake-shedding system (don't include the rotor if quasi-steady vehicle)\n", - "wake_system = vlm.WingSystem()\n", - "\n", - "if VehicleType != uns.QVLMVehicle\n", - " vlm.addwing(wake_system, \"Rotor1\", rotor)\n", - "else\n", - " # Mute colinear warnings. This is needed since the quasi-steady solver\n", - " # will probe induced velocities at the lifting line of the blade\n", - " uns.vlm.VLMSolver._mute_warning(true)\n", - "end\n", - "\n", - "# Define vehicle object\n", - "vehicle = VehicleType( system;\n", - " rotor_systems=rotor_systems,\n", - " wake_system=wake_system\n", - " )\n", - "\n", - "\n", - "# ----- MANEUVER DEFINITION\n", - "RPM_fun(t) = 1.0 # RPM (normalized by reference RPM) as a\n", - " # function of normalized time\n", - "angle = () # Angle of each tilting system (none in this case)\n", - "sysRPM = (RPM_fun, ) # RPM of each rotor system\n", - "Vvehicle(t) = zeros(3) # Translational velocity of vehicle over Vcruise\n", - "anglevehicle(t) = zeros(3) # (deg) angle of the vehicle\n", - "\n", - "# Define Maneuver object\n", - "maneuver = uns.KinematicManeuver(angle, sysRPM, Vvehicle, anglevehicle)\n", - "\n", - "# Plot maneuver path and controls\n", - "uns.plot_maneuver(maneuver; vis_nsteps=nsteps)\n", - "\n", - "\n", - "# ----- SIMULATION DEFINITION\n", - "RPMref = RPM\n", - "Vref = 0.0\n", - "\n", - "tinit = 0.0 # (s) initial time\n", - "Vinit = Vref*maneuver.Vvehicle(tinit/ttot) # (m/s) initial vehicle velocity\n", - "angle1 = maneuver.anglevehicle(tinit/ttot) # (rad/s) initial vehicle angular velocity\n", - "angle2 = maneuver.anglevehicle(tinit/ttot + 1e-12)\n", - "Winit = pi/180 * (angle2-angle1)/(ttot*1e-12)\n", - "\n", - "simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot;\n", - " Vinit=Vinit, Winit=Winit, t=tinit)\n", - "\n", - "\n", - "# ----- MONITOR DEFINITION\n", - "monitor = uns.generate_monitor_rotors( rotors, J, rho, RPM, nsteps;\n", - " t_scale=RPM/60, # Time scaling factor for plots\n", - " t_lbl=\"Revolutions\", # x-axis label\n", - " # OUTPUT OPTIONS\n", - " save_path=save_path,\n", - " run_name=\"rotor\",\n", - " figname=\"monitor_rotor\",\n", - " disp_conv=verbose,)\n", - "\n", - "\n", - "# ------------ RUN SIMULATION ----------------------------------------------\n", - "pfield = uns.run_simulation(simulation, nsteps;\n", - " # SIMULATION OPTIONS\n", - " Vinf=Vinf,\n", - " rho=rho,\n", - " mu=mu,\n", - " sound_spd=speedofsound,\n", - " # SOLVERS OPTIONS\n", - " p_per_step=p_per_step,\n", - " overwrite_sigma=overwrite_sigma,\n", - " vlm_sigma=vlm_sigma,\n", - " surf_sigma=surf_sigma,\n", - " max_particles=max_particles,\n", - " shed_unsteady=shed_unsteady,\n", - " extra_runtime_function=monitor,\n", - " # OUTPUT OPTIONS\n", - " save_path=save_path,\n", - " run_name=run_name,\n", - " nsteps_save=nsteps_save,\n", - " save_wopwopin=save_wopwopin,\n", - " prompt=prompt,\n", - " verbose=verbose,\n", - " ); " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Since we are using the BEMT solver, the $C_T$ solution is constant at each time step and PyPlot ends up collapsing the $y$-axes of all plots to show machine-precision fluctuations. Here is the value of $C_T$ that the plot is showing, which is on point with the experimental value of 0.0719." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "0.07352974000047499" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "4.75*1e-13 + 7.352974e-2" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 2:* Aeroacoustic Solution – Tonal Noise" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this step, we feed the aerodynamic solution to PSU-WOPWOP to obtain the tonal noise in a circular array of microphones located at 1.905 m from the rotor hub as shown below." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "\"Vid" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "hidden": true, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Creating work directory...\n", - "Creating spherical observer grid...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "┌ Warning: axisrot set to \"automatic\"; defaulting to [1.0, 0.0, 0.0].\n", - "└ @ FLOWUnsteady /home/edoalvar/Dropbox/FLOWResearch/FLOWCodes/FLOWUnsteady/src/FLOWUnsteady_noise_wopwop.jl:79\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generating WOPWOP geometry files... (reading num range 1:1)\n", - "\tfile singlerotor_Rotor1_Blade1_loft...\n", - "\tfile singlerotor_Rotor1_Blade2_loft...\n", - "\tfile singlerotor_Sys1_Rotor1_Blade1_compact...\n", - "\tfile singlerotor_Sys1_Rotor1_Blade2_compact...\n", - "Generating WOPWOP loading files...\n", - "Running PSU-WOPWOP...\n", - "********** PSU-WOPWOP Version 3.4.3 (PSU Internal Build 3385 [locally modified]) ***********\n", - " \n", - " *****************************************************************\n", - " *** Reading case file: ./runcase/runcase.nam\n", - " *****************************************************************\n", - " Environment Created\n", - " Case Setup Time = 4.099999991012737E-003\n", - " Computing noise for ObserverContainer\n", - " Calculating results for ObserverContainer\n", - " Environment Destroyed.\n", - "PSU-WOPWOP is done!\n", - " 59.389043 seconds (10.74 M allocations: 508.782 MiB, 0.27% gc time)\n" - ] - } - ], - "source": [ - "# Path from where to read aerodynamic solution\n", - "read_path = pwd()*\"/temps/example_dji9443_00/\"\n", - "# Path where to save PSU-WOPWOP's outputs\n", - "save_path = \"temps/example_dji9443_00_psw00/\"\n", - "# Path to PSU-WOPWOP binary (not included in FLOWUnsteady)\n", - "wopwopbin = \"/home/edoalvar/Dropbox/FLOWResearch/OtherCodes/PSU-WOPWOP_v3.4.3_B3385/wopwop3_serial\"\n", - "# Run name (prefix of rotor files to read)\n", - "run_name = \"singlerotor\"\n", - "\n", - "# ------------ PARAMETERS --------------------------------------------------\n", - "# NOTE: Make sure that these parameters match what was used in the \n", - "# aerodynamic solution.\n", - "\n", - "# Rotor geometry\n", - "rotor_file = \"DJI9443.csv\" # Rotor geometry\n", - "data_path = uns.def_data_path # Path to rotor database\n", - "\n", - "# Read radius of this rotor and number of blades\n", - "R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]]\n", - "\n", - "rotorsystems = [[B]] # rotorsystems[si][ri] is the number of blades of the ri-th rotor in the si-th system\n", - "\n", - "# Simulation parameters\n", - "RPM = 5400 # RPM is just a reference value to go from nrevs to simulation time\n", - "rho = 1.071778 # (kg/m^3) air density\n", - "speedofsound = 342.35 # (m/s) speed of sound\n", - "\n", - "# Solver parameters\n", - "ww_nrevs = 9 # Number of revolutions in PSU-WOPWOP\n", - "ww_nsteps_per_rev = 120 # Number of steps per revolution in PSU-WOPWOP\n", - "num_min = 1 # Start reading aero files from this number\n", - "periodic = const_solution # Periodic aerodynamic solution\n", - "const_geometry = const_solution # Whether to run PSW on constant geometry from num_min\n", - "CW = CW # Clock-wise rotation of constant geometry\n", - "highpass = 0*0.0001 # High pass filter. Set to >0 to get rid of 0th freq in OASPL\n", - "\n", - "# Observer definition: Circular array of microphones\n", - "sph_R = 1.905 # (m) radial distance from rotor hub\n", - "sph_nR = 0\n", - "sph_nphi = 0\n", - "sph_ntht = 72 # Number of microphones\n", - "sph_thtmin = 0 # (deg) first microphone's angle\n", - "sph_thtmax = 360 # (deg) last microphone's angle\n", - "sph_phimax = 180\n", - "sph_rotation = [90, 0, 0] # Rotation of grid of microphones\n", - "obs_name = \"circle_mic_array\" # Observer file name\n", - "\n", - "# Observer definition: Single microphone\n", - "Rmic = 1.905 # (m) radial distance from rotor hub\n", - "anglemic = 90*pi/180 # (rad) microphone angle from plane of rotation (- below, + above)\n", - " # 0deg is at the plane of rotation, 90deg is upstream\n", - "microphoneX = nothing # Comment and uncomment this to switch from array to single microphone\n", - "# microphoneX = Rmic*[-sin(anglemic), cos(anglemic), 0]\n", - "\n", - "\n", - "# ------------ RUN PSU-WOPWOP ----------------------------------------------\n", - "@time uns.run_noise_wopwop(read_path, run_name, RPM, rho, speedofsound, rotorsystems, \n", - " ww_nrevs, ww_nsteps_per_rev, save_path, wopwopbin;\n", - " # ---------- OBSERVERS -------------------------\n", - " sph_R=sph_R,\n", - " sph_nR=sph_nR, sph_ntht=sph_ntht,\n", - " sph_nphi=sph_nphi, sph_phimax=sph_phimax,\n", - " sph_rotation=sph_rotation,\n", - " sph_thtmin=sph_thtmin, sph_thtmax=sph_thtmax,\n", - " microphoneX=microphoneX,\n", - " # ---------- SIMULATION OPTIONS ----------------\n", - " periodic=periodic,\n", - " # ---------- INPUT OPTIONS ---------------------\n", - " num_min=num_min,\n", - " const_geometry=const_geometry,\n", - " axisrot=\"automatic\",\n", - " CW=CW,\n", - " highpass=highpass,\n", - " # ---------- OUTPUT OPTIONS --------------------\n", - " verbose=true, v_lvl=0,\n", - " prompt=false, debug_paraview=false,\n", - " debuglvl=0, # WW debug level\n", - " observerf_name=\"observergrid\", # .xyz file with observer grid\n", - " case_name=\"runcase\", # Name of case to create and run\n", - " );" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Optional Step:* Processing VTKs" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "When debugging things, I like to convert the PSU-WOPWOP's inputs back to vtk and visualize them in Paraview. This helps verify that we are passing the right things to PSU-WOPWOP. In order to do that, the following lines grab those inputs files that are formated for PSU-WOPWOP and converts them into vtk files.\n", - "\n", - "NOTE: All geometry visualizations in this notebook were generated opening these vtk files in Paraview." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "*************************************************************************\n", - "*\t\tREADING singlerotor_Rotor1_Blade1_loft.wop\n", - "*************************************************************************\n", - "*************************************************************************\n", - "*\t\tREADING singlerotor_Rotor1_Blade2_loft.wop\n", - "*************************************************************************\n", - "*************************************************************************\n", - "*\t\tREADING singlerotor_Sys1_Rotor1_Blade1_compact.wop\n", - "*************************************************************************\n", - "*************************************************************************\n", - "*\t\tREADING singlerotor_Sys1_Rotor1_Blade2_compact.wop\n", - "*************************************************************************\n", - "Generated the following files:\n", - "\ttemps/example_dji9443_00_psw00/runcase/../vtks//singlerotor_Rotor1_Blade1_loft_vtkpatch.vtk;singlerotor_Rotor1_Blade2_loft_vtkpatch.vtk;singlerotor_Sys1_Rotor1_Blade1_compact_vtkcompactpatch.vtk;singlerotor_Sys1_Rotor1_Blade2_compact_vtkcompactpatch.vtk;\n" - ] - } - ], - "source": [ - "read_path = \"temps/example_dji9443_00_psw00/runcase/\" # Path to PSW's input files\n", - "save_path = read_path*\"../vtks/\" # Where to save VTK files\n", - "\n", - "# Generate VTK files\n", - "vtk_str = noise.save_geomwopwop2vtk(read_path, save_path; prompt=false, verbose_level=0)\n", - "\n", - "# Call Paraview to visualize VTKs\n", - "run(`paraview --data=$(vtk_str)`)\n", - "\n", - "println(\"Generated the following files:\\n\\t$(vtk_str)\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 3:* Aeroacoustic Solution – Broadband Noise" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "hidden": true, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating BPM noise...\n", - "\tObserver 1 out of 72\n", - "\tObserver 11 out of 72\n", - "\tObserver 21 out of 72\n", - "\tObserver 31 out of 72\n", - "\tObserver 41 out of 72\n", - "\tObserver 51 out of 72\n", - "\tObserver 61 out of 72\n", - "\tObserver 71 out of 72\n", - "\tObserver 72 out of 72\n", - "BPM calculation is done!\n" - ] - } - ], - "source": [ - "# Path where to save BPM's outputs\n", - "save_path = \"temps/example_dji9443_00_bpm00/\"\n", - "\n", - "# ------------ PARAMETERS --------------------------------------------------\n", - "# NOTE: Make sure that these parameters match what was used in the \n", - "# aerodynamic solution.\n", - "\n", - "# Rotor geometry\n", - "rotor_file = \"DJI9443.csv\" # Rotor geometry\n", - "data_path = uns.def_data_path # Path to rotor database\n", - "pitch = 0.0 # (deg) collective pitch of blades\n", - "n = 50 # Number of blade elements\n", - "CW = true # Clock-wise rotation\n", - "\n", - "\n", - "# Read radius of this rotor and number of blades\n", - "R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]]\n", - "\n", - "# Simulation parameters\n", - "RPM = 5400 # RPM\n", - "J = 0.0001 # Advance ratio Vinf/(nD)\n", - "rho = 1.071778 # (kg/m^3) air density\n", - "mu = 1.85508e-5 # (kg/ms) air dynamic viscosity\n", - "speedofsound = 342.35 # (m/s) speed of sound\n", - "\n", - "magVinf = J*RPM/60*(2*R)\n", - "Vinf(X,t) = magVinf*[1.0, 0, 0] # (m/s) freestream velocity\n", - "\n", - "# BPM parameters\n", - "noise_correction= 1.00 # Calibration parameter\n", - "# noise_correction= 0.65\n", - "TE_thickness = 16.0 # (deg) trailing edge thickness\n", - "freq_bins = uns.BPM.default_f # Frequency bins (default is one-third octave band)\n", - "\n", - "# Observer definition: Circular array of microphones\n", - "sph_R = 1.905 # (m) radial distance from rotor hub\n", - "sph_nR = 0\n", - "sph_nphi = 0\n", - "sph_ntht = 72 # Number of microphones\n", - "sph_thtmin = 0 # (deg) first microphone's angle\n", - "sph_thtmax = 360 # (deg) last microphone's angle\n", - "sph_phimax = 180\n", - "sph_rotation = [90, 0, 0] # Rotation of grid of microphones\n", - "\n", - "# Observer definition: Single microphone\n", - "Rmic = 1.905 # (m) radial distance from rotor hub\n", - "anglemic = 90*pi/180 # (rad) microphone angle from plane of rotation (- below, + above)\n", - " # 0deg is at the plane of rotation, 90deg is upstream\n", - "microphoneX = nothing # Comment and uncomment this to switch from array to single microphone\n", - "# microphoneX = Rmic*[-sin(anglemic), cos(anglemic), 0]\n", - "\n", - "# OUTPUT OPTIONS\n", - "prompt = false # Whether to promp the user\n", - "verbose = false\n", - "plot_disc = false # Plot blade discretization for debugging\n", - "\n", - "# ------------ GENERATE GEOMETRY -------------------------------------------\n", - "# Generate rotor\n", - "rotor = uns.generate_rotor(rotor_file; pitch=pitch,\n", - " n=n, CW=CW, ReD=0.0,\n", - " verbose=verbose, xfoil=false,\n", - " data_path=data_path,\n", - " plot_disc=plot_disc)\n", - "rotors = vlm.Rotor[rotor]\n", - "\n", - "# ------------ RUN BPM -----------------------------------------------------\n", - "uns.run_noise_bpm(rotors, RPM, Vinf, rho, mu, speedofsound,\n", - " save_path;\n", - " # ---------- OBSERVERS -------------------------\n", - " sph_R=sph_R,\n", - " sph_nR=sph_nR, sph_ntht=sph_ntht,\n", - " sph_nphi=sph_nphi, sph_phimax=sph_phimax,\n", - " sph_rotation=sph_rotation,\n", - " sph_thtmin=sph_thtmin, sph_thtmax=sph_thtmax,\n", - " microphoneX=microphoneX,\n", - " # ---------- BPM OPTIONS -----------------------\n", - " noise_correction=noise_correction,\n", - " TE_thickness=TE_thickness,\n", - " freq_bins=freq_bins,\n", - " # ---------- OUTPUT OPTIONS --------------------\n", - " prompt=prompt\n", - " );" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## *Step 4:* Processing and Plotting Results" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this section we process the data to add the tonal and broadband together, and plot the results." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "### Read Data" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this cell we read both the tonal and broadband noise solutions that we have previously generated:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "************************************************************************\n", - "*\tReading dataset temps/example_dji9443_00_psw00/runcase/\n", - "************************************************************************\n", - "\tReading output file pressure.nam ...\n", - "\t\tFound 72x1 grid in WOPWOP output with 1080 time steps.\n", - "\tReading output file spl_spectrum.nam ...\n", - "\t\tFound 72x1 grid in WOPWOP output with 541 time steps.\n", - "\tReading output file spl_octFilt_spectrum.nam ...\n", - "\t\tFound 72x1 grid in WOPWOP output with 28 time steps.\n", - "\tReading output file OASPLdB.nam ...\n", - "\t\tFound 72x1 grid in WOPWOP output with 1 time steps.\n", - "\tReading output file OASPLdBA.nam ...\n", - "\t\tFound 72x1 grid in WOPWOP output with 1 time steps.\n", - "************************************************************************\n", - "*\tReading dataset temps/example_dji9443_00_bpm00\n", - "************************************************************************\n", - "\tReading output file spl_spectrum.tec ...\n", - "\tReading output file splA_spectrum.tec ...\n", - "\tReading output file OASPLdB.tec ...\n", - "\tReading output file OASPLdBA.tec ...\n", - "\tReading output file frequencies.tec ...\n", - "Done!\n" - ] - } - ], - "source": [ - "# Dataset to read and associated information\n", - "dataset_infos = [ # (label, PSW solution, BPM solution, BPM freq bins, line style, color)\n", - " (\"FLOWUnsteady w/BEMT\", \n", - " \"temps/example_dji9443_00_psw00/runcase/\", \n", - " \"temps/example_dji9443_00_bpm00\", \n", - " \"-\", \"r\"),\n", - " ]\n", - "\n", - "datasets_psw = Dict() # Stores PSW data in this dictionary\n", - "datasets_bpm = Dict() # Stores BPM data in this dictionary\n", - "\n", - "# Read datasets and stores them in dictionaries\n", - "noise.read_data(dataset_infos; datasets_psw=datasets_psw, datasets_bpm=datasets_bpm)\n", - "\n", - "println(\"Done!\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Also, we need to recreate the circular array of microphones that was used when generating the aeroacoustic solution:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "pangle (generic function with 1 method)" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RPM = 5400 # RPM of solution\n", - "nblades = 2 # Number of blades\n", - "BPF = nblades*RPM/60 # Blade passing frequency\n", - "\n", - "# Make sure this grid is the same used as an observer by the aeroacoustic solution\n", - "sph_R = 1.905 # (m) radial distance from rotor hub\n", - "sph_nR = 0\n", - "sph_nphi = 0\n", - "sph_ntht = 72 # Number of microphones\n", - "sph_thtmin = 0 # (deg) first microphone's angle\n", - "sph_thtmax = 360 # (deg) last microphone's angle\n", - "sph_phimax = 180\n", - "sph_rotation = [90, 0, 0] # Rotation of grid of microphones\n", - "\n", - "# Create observer grid\n", - "grid = noise.observer_sphere(sph_R, sph_nR, sph_ntht, sph_nphi; \n", - " thtmin=sph_thtmin, thtmax=sph_thtmax, phimax=sph_phimax,\n", - " rotation=sph_rotation);\n", - "\n", - "# This function calculates the angle that corresponds to every microphone\n", - "pangle(i) = -180/pi*atan(gt.get_node(grid, i)[1], gt.get_node(grid, i)[2])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "### Pressure Waveform" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In here we plot the pressure waveform at some of the microphones. **This pressure waveform includes only the tonal component**, as given by PSU-WOPWOP." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "microphones = [-45, 90] # (deg) microphones to plot\n", - "\n", - "noise.plot_pressure(dataset_infos, microphones, RPM, sph_ntht, pangle; datasets_psw=datasets_psw)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "### SPL Spectrum" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Here we compare the SPL spectrum at the microphone $-45^\\circ$ below the plane of rotation with the experimental data reported by Zawodny, N. S., & Boyd, Jr., D. D., (2016), *Acoustic Characterization and Prediction of Representative, Small-scale Rotary-wing Unmanned Aircraft System Components*." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "One-third octaves:" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "microphones = [-45] # (deg) microphone to plot\n", - "Aweighted = false # Plot A-weighted SPL\n", - "onethirdoctave = true\n", - "\n", - "# Experimental data from Zawodny et al., Fig. 9\n", - "filename = joinpath(\"data\", \"zawodnydigitization3\", \"zawodny_dji9443-fig9-OTO-5400.csv\")\n", - "plot_experimental = [(filename, \"Experimental\", \"o:k\", Aweighted, [])]\n", - "\n", - "# Plot spectrum in Hz with blade-passing-frequency lines\n", - "noise.plot_spectrum_spl(dataset_infos, microphones, BPF, sph_ntht, pangle; \n", - " datasets_psw=datasets_psw, datasets_bpm=datasets_bpm,\n", - " Aweighted=Aweighted,\n", - " onethirdoctave=onethirdoctave,\n", - " plot_csv=plot_experimental,\n", - " xBPF=false, xlims=[100, 3e4], ylims=[0, 80], BPF_lines=8)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Notice in the narrow band plots that the broadband output of BPM has been converted from 1/3 octaves into narrow band (10 hz bin) in order to plot it together with the tonal noise, but this is technically not correct as information is lost everytime you go from a narrow band to a coarser band. Hence, the broadband component seems to overpredict relative to the experimental, but this is just an artifice of the plotting. In the OASPL directivity plots we will see that the A-weighted OASPL predicted with BPM actually matches the experimental values very well." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Unweighted SPL:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting BPM to narrow band of bin width 10.0 Hz\n" - ] - } - ], - "source": [ - "microphones = [-45] # (deg) microphone to plot\n", - "Aweighted = false # Plot A-weighted SPL\n", - "\n", - "# Experimental data from Zawodny et al., Fig. 9\n", - "filename = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_dji9443_spl_5400_01.csv\")\n", - "plot_experimental = [(filename, \"Experimental\", \"k\", Aweighted, [])]\n", - "\n", - "# Plot spectrum in Hz with blade-passing-frequency lines\n", - "noise.plot_spectrum_spl(dataset_infos, microphones, BPF, sph_ntht, pangle; \n", - " datasets_psw=datasets_psw, datasets_bpm=datasets_bpm,\n", - " Aweighted=Aweighted,\n", - " plot_csv=plot_experimental)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "A-weighted SPL:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting BPM to narrow band of bin width 10.0 Hz\n" - ] - } - ], - "source": [ - "Aweighted = true\n", - "\n", - "# Experimental data from Zawodny et al., Fig. 9\n", - "filename = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_dji9443_spl_5400_01.csv\")\n", - "plot_experimental = [(filename, \"Experimental\", \"k\", Aweighted, [])]\n", - "\n", - "# Plot spectrum in Hz with blade-passing-frequency lines\n", - "noise.plot_spectrum_spl(dataset_infos, microphones, BPF, sph_ntht, pangle; \n", - " datasets_psw=datasets_psw, datasets_bpm=datasets_bpm,\n", - " Aweighted=Aweighted,\n", - " plot_csv=plot_experimental, \n", - " xBPF=false, xlims=[100, 3e4], BPF_lines=21)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "### Tonal Noise" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Converting BPM to narrow band of bin width 10.0 Hz\n" - ] - } - ], - "source": [ - "Aweighted = false\n", - "add_broadband = false\n", - "\n", - "# Experimental data from Zawodny et al., Fig. 9\n", - "filename = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_dji9443_spl_5400_01.csv\")\n", - "plot_experimental = [(filename, \"Experimental\", \"k\", Aweighted, [])]\n", - "\n", - "# Plot spectrum in Hz with blade-passing-frequency lines\n", - "noise.plot_spectrum_spl(dataset_infos, microphones, BPF, sph_ntht, pangle; \n", - " datasets_psw=datasets_psw, datasets_bpm=datasets_bpm,\n", - " Aweighted=Aweighted,\n", - " plot_csv=plot_experimental, \n", - " add_broadband=add_broadband,\n", - " xBPF=false, xlims=[100, 3e4], BPF_lines=21)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Directivity of first blade-passing frequency:" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "BPFi = 1 # Multiple of blade-passing frequency to plot\n", - "\n", - "# Experimental and computational data reported by Zawodny et al., Fig. 14\n", - "filename1 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig14_topright_exp00.csv\")\n", - "filename2 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig14_topright_of00.csv\")\n", - "filename3 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig14_topright_pas00.csv\")\n", - "\n", - "plot_experimental = [(filename1, \"Experimental\", \"ok\", Aweighted, []),\n", - " (filename2, \"OVERFLOW2\", \"-c\", Aweighted, [(:alpha, 0.8)]),\n", - " (filename3, \"BEM+ANOPP\", \":b\", Aweighted, [(:alpha, 0.8)])]\n", - "\n", - "# Plot SPL directivity of first blade-passing frequency\n", - "noise.plot_directivity_splbpf(dataset_infos, BPFi, BPF, pangle;\n", - " datasets_psw=datasets_psw,\n", - " datasets_bpm=datasets_bpm,\n", - " plot_csv=plot_experimental,\n", - " rticks=40:4:52, rlims=[40, 54], rorigin=36)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Directivity of second blade-passing frequency:" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "BPFi = 2 # Multiple of blade-passing frequency to plot\n", - "\n", - "# Experimental and computational data reported by Zawodny et al., Fig. 14\n", - "filename1 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig14_bottomright_exp00.csv\")\n", - "filename2 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig14_bottomright_of00.csv\")\n", - "filename3 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig14_bottomright_pas00.csv\")\n", - "\n", - "plot_experimental = [(filename1, \"Experimental\", \"ok\", Aweighted, []),\n", - " (filename2, \"OVERFLOW2\", \"-c\", Aweighted, [(:alpha, 0.8)]),\n", - " (filename3, \"BEM+ANOPP\", \":b\", Aweighted, [(:alpha, 0.8)])]\n", - "\n", - "# Plot SPL directivity of first blade-passing frequency\n", - "noise.plot_directivity_splbpf(dataset_infos, BPFi, BPF, pangle;\n", - " datasets_psw=datasets_psw,\n", - " datasets_bpm=datasets_bpm,\n", - " plot_csv=plot_experimental,\n", - " rticks=15:5:30, rlims=[15, 32], rorigin=10)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Overall SPL Directivity" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Unweighted OASPL:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Aweighted = false\n", - "\n", - "# Experimental and computational data reported by Zawodny et al., Fig. 12\n", - "filename1 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig12_left_5400_00.csv\")\n", - "\n", - "plot_experimental = [(filename1, \"Experimental\", \"ok\", Aweighted, [])]\n", - "\n", - "# Plot OASPL directivity\n", - "noise.plot_directivity_oaspl(dataset_infos, pangle;\n", - " datasets_psw=datasets_psw,\n", - " datasets_bpm=datasets_bpm,\n", - " Aweighted=Aweighted,\n", - " plot_csv=plot_experimental,\n", - " rticks=40:10:70, rlims=[40, 72], rorigin=30)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A-weighted OASPL:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Aweighted = true\n", - "\n", - "# Experimental and computational data reported by Zawodny et al., Fig. 12\n", - "filename1 = joinpath(\"data\", \"zawodnydigitization2\", \"zawodny_fig12_right_5400_00.csv\")\n", - "\n", - "plot_experimental = [(filename1, \"Experimental\", \"ok\", Aweighted, [])]\n", - "\n", - "# Plot OASPL directivity\n", - "noise.plot_directivity_oaspl(dataset_infos, pangle;\n", - " datasets_psw=datasets_psw,\n", - " datasets_bpm=datasets_bpm,\n", - " Aweighted=Aweighted,\n", - " plot_csv=plot_experimental,\n", - " rticks=40:10:70, rlims=[40, 72], rorigin=30)" - ] - } - ], - "metadata": { - "@webio": { - "lastCommId": null, - "lastKernelId": null - }, - "hide_input": false, - "kernelspec": { - "display_name": "Julia 1.4.2", - "language": "julia", - "name": "julia-1.4" - }, - "language_info": { - "file_extension": ".jl", - "mimetype": "application/julia", - "name": "julia", - "version": "1.4.2" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/DEPRECATED/rotornoise/singlerotor.ipynb b/examples/DEPRECATED/rotornoise/singlerotor.ipynb deleted file mode 100644 index 12815fd5..00000000 --- a/examples/DEPRECATED/rotornoise/singlerotor.ipynb +++ /dev/null @@ -1,2180 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Single-rotor Noise – Example and Validation" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "import CSV\n", - "using PyPlot\n", - "\n", - "import FLOWUnsteady\n", - "import FLOWMath\n", - "\n", - "# Aliases\n", - "uns = FLOWUnsteady\n", - "vlm = FLOWUnsteady.vlm\n", - "noise = FLOWUnsteady.noise\n", - "gt = FLOWUnsteady.gt\n", - "math = FLOWMath\n", - "\n", - "# Create temps folder\n", - "if ispath(\"temps\")==false; mkdir(\"temps\"); end;" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This notebook contains an example on how to run an aeroacoustic analysis using FLOWUnsteady coupled with PSU-WOPWOP. In here we show how to generate the aerodynamic solution, how to format the solution for PSU-WOPWOP (PSW, for short), run PSW to get tonal noise, use BPM to get broadband noise, and how the outputs can be visualized in Paraview and processed in a variety of forms.\n", - "\n", - "We then compare results with experimental acoustic data from the literature." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## Test Case" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "The example shown here consists of an isolated 9.4in rotor in hover. The rotor and configuration matches the DJI 9443 propeller described in Zawodny, N. S., & Boyd, Jr., D. D., (2016), *Acoustic Characterization and Prediction of Representative, Small-scale Rotary-wing Unmanned Aircraft System Components*. See also the results shown in Alvarez, E. J., Schenk, A., Critchfield, T., and Ning, A., (2020), *Rotor-on-Rotor Aeroacoustic Interactions of Multirotor in Hover*." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "This is what the actual DJI 9443 rotor looks like:\n", - "\n", - "\"Pic" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "This is the aeroacoustic output of FLOWUnsteady:\n", - "\n", - "\"Vid" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 1:* Aerodynamic Solution" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this step we use any of the aerodynamic solvers in FLOWUnsteady to generate the aerodynamic loading and rotor geometry. In this example we are using the quasi-steady solver that uses blade-element momentum theory (BEMT) to generate the aerodynamic solution shown below. The BEMT solution predicts a $C_T$ of 0.0734, meanwhile Zawodny et al. reports an experimental $C_T$ of 0.0719. This results in an **excellent agreement, with a discrepancy of only 2\\% between FLOWUnsteady and the experimental $C_T$**." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "\"Vid" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "hidden": true, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\tGenerating geometry...\n", - "\tGenerating airfoils...\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.014926\t0.105947\t-0.007908\t1\n", - "-1.000000\t-0.056689\t0.104379\t-0.014181\t1\n", - "-2.000000\t-0.098111\t0.103717\t-0.020636\t1\n", - "-3.000000\t-0.137255\t0.104153\t-0.027136\t1\n", - "-4.000000\t-0.169781\t0.106101\t-0.033548\t1\n", - "-5.000000\t-0.185221\t0.110584\t-0.039786\t1\n", - "-6.000000\t-0.170004\t0.119092\t-0.045112\t1\n", - "-7.000000\t-0.144512\t0.129792\t-0.047222\t1\n", - "-8.000000\t-0.135694\t0.139245\t-0.047179\t1\n", - "-9.000000\t-0.142772\t0.147267\t-0.046204\t1\n", - "-10.000000\t-0.159889\t0.154573\t-0.044488\t1\n", - "-11.000000\t-0.183774\t0.161627\t-0.042019\t1\n", - "-12.000000\t-0.212600\t0.168726\t-0.038764\t1\n", - "-13.000000\t-0.245253\t0.176069\t-0.034691\t1\n", - "-14.000000\t-0.280933\t0.183803\t-0.029779\t1\n", - "-15.000000\t-0.319026\t0.192050\t-0.024015\t1\n", - "-16.000000\t-0.359087\t0.200905\t-0.017384\t1\n", - "-17.000000\t-0.400758\t0.210453\t-0.009876\t1\n", - "-18.000000\t-0.443745\t0.220765\t-0.001484\t1\n", - "-19.000000\t-0.487814\t0.231896\t0.007789\t0\n", - "-20.000000\t-0.532783\t0.243899\t0.017936\t0\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.014926\t0.105947\t-0.007908\t1\n", - "0.000000\t-0.014926\t0.105947\t-0.007908\t1\n", - "1.000000\t0.026278\t0.108297\t-0.001963\t1\n", - "2.000000\t0.066794\t0.111363\t0.003456\t1\n", - "3.000000\t0.106585\t0.115120\t0.008177\t1\n", - "4.000000\t0.145431\t0.119565\t0.012077\t1\n", - "5.000000\t0.183020\t0.124701\t0.015056\t1\n", - "6.000000\t0.219033\t0.130550\t0.017011\t1\n", - "7.000000\t0.253294\t0.137112\t0.017849\t1\n", - "8.000000\t0.286123\t0.144342\t0.017507\t1\n", - "9.000000\t0.318539\t0.152124\t0.015983\t1\n", - "10.000000\t0.351704\t0.160345\t0.013337\t1\n", - "11.000000\t0.386121\t0.168982\t0.009621\t1\n", - "12.000000\t0.421776\t0.178090\t0.004848\t1\n", - "13.000000\t0.458631\t0.187724\t-0.000955\t1\n", - "14.000000\t0.496865\t0.197906\t-0.007713\t1\n", - "15.000000\t0.536699\t0.208629\t-0.015310\t1\n", - "16.000000\t0.578163\t0.219898\t-0.023651\t1\n", - "17.000000\t0.621109\t0.231720\t-0.032670\t0\n", - "18.000000\t0.665280\t0.244106\t-0.042327\t0\n", - "19.000000\t0.710387\t0.257061\t-0.052595\t0\n", - "20.000000\t0.756169\t0.270627\t-0.063471\t0\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.035135\t0.076811\t-0.004171\t1\n", - "-1.000000\t-0.071925\t0.073780\t-0.011455\t1\n", - "-2.000000\t-0.109263\t0.071708\t-0.019418\t1\n", - "-3.000000\t-0.147144\t0.070953\t-0.027572\t1\n", - "-4.000000\t-0.164918\t0.073761\t-0.036028\t1\n", - "-5.000000\t-0.596964\t0.078310\t0.036763\t1\n", - "-6.000000\t-0.569891\t0.095169\t0.029170\t1\n", - "-7.000000\t-0.455733\t0.115514\t0.015231\t1\n", - "-8.000000\t-0.376859\t0.131789\t0.006415\t1\n", - "-9.000000\t-0.274976\t0.144183\t-0.004135\t1\n", - "-10.000000\t-0.105093\t0.141901\t-0.039804\t0\n", - "-11.000000\t-0.133974\t0.149569\t-0.038327\t0\n", - "-12.000000\t-0.165964\t0.157265\t-0.036036\t0\n", - "-13.000000\t-0.201124\t0.165271\t-0.032754\t1\n", - "-14.000000\t-0.176113\t0.183297\t-0.021587\t1\n", - "-15.000000\t-0.340560\t0.195026\t-0.007922\t0\n", - "-16.000000\t-0.402366\t0.207027\t0.002047\t0\n", - "-17.000000\t-0.468269\t0.220854\t0.012038\t0\n", - "-18.000000\t-0.527879\t0.234579\t0.020299\t0\n", - "-19.000000\t-0.586044\t0.250510\t0.027751\t0\n", - "-20.000000\t-0.636708\t0.264830\t0.033904\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.035135\t0.076811\t-0.004171\t1\n", - "0.000000\t-0.035135\t0.076811\t-0.004171\t1\n", - "1.000000\t0.001899\t0.080573\t0.002206\t1\n", - "2.000000\t0.040015\t0.084874\t0.007605\t1\n", - "3.000000\t0.078568\t0.089685\t0.012089\t1\n", - "4.000000\t0.115578\t0.095209\t0.015655\t1\n", - "5.000000\t0.147891\t0.101883\t0.018117\t1\n", - "6.000000\t0.173161\t0.110085\t0.019180\t1\n", - "7.000000\t0.198192\t0.118886\t0.019027\t1\n", - "8.000000\t0.228254\t0.127495\t0.018034\t0\n", - "9.000000\t0.261374\t0.136277\t0.016071\t0\n", - "10.000000\t0.295533\t0.145723\t0.012867\t0\n", - "11.000000\t0.330692\t0.156136\t0.008242\t1\n", - "12.000000\t0.384542\t0.172136\t-0.001679\t0\n", - "13.000000\t0.457194\t0.188251\t-0.016598\t1\n", - "14.000000\t0.521013\t0.203199\t-0.028353\t0\n", - "15.000000\t0.576810\t0.214172\t-0.037528\t1\n", - "16.000000\t0.634401\t0.227525\t-0.046844\t1\n", - "17.000000\t0.687758\t0.239701\t-0.055163\t1\n", - "18.000000\t0.738497\t0.252145\t-0.063748\t1\n", - "19.000000\t0.788741\t0.264322\t-0.072570\t1\n", - "20.000000\t0.838775\t0.276396\t-0.081705\t0\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.038390\t0.037884\t-0.004764\t1\n", - "-1.000000\t-0.178123\t0.040260\t0.003569\t1\n", - "-2.000000\t-0.308439\t0.044799\t0.011698\t1\n", - "-3.000000\t-0.444176\t0.052816\t0.047998\t1\n", - "-4.000000\t-0.306566\t0.058880\t0.031220\t1\n", - "-5.000000\t-0.124396\t0.060905\t-0.004134\t1\n", - "-6.000000\t-0.033849\t0.062743\t-0.031440\t0\n", - "-7.000000\t-0.061907\t0.071499\t-0.031011\t0\n", - "-8.000000\t-0.391475\t0.111767\t-0.007158\t1\n", - "-9.000000\t-0.385538\t0.123589\t-0.014390\t1\n", - "-10.000000\t-0.393710\t0.136888\t-0.018560\t0\n", - "-11.000000\t-0.397689\t0.148605\t-0.019814\t0\n", - "-12.000000\t-0.297047\t0.148681\t-0.023484\t1\n", - "-13.000000\t-0.421087\t0.173105\t-0.019359\t0\n", - "-14.000000\t-0.310552\t0.167028\t-0.023818\t0\n", - "-15.000000\t-0.458495\t0.197995\t-0.016041\t0\n", - "-16.000000\t-0.467015\t0.203024\t-0.012207\t1\n", - "-17.000000\t-0.491359\t0.214962\t-0.009110\t0\n", - "-18.000000\t-0.518494\t0.227090\t-0.005832\t1\n", - "-19.000000\t-0.539971\t0.234794\t-0.000790\t1\n", - "-20.000000\t-0.568050\t0.245795\t0.003630\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.038390\t0.037884\t-0.004764\t1\n", - "0.000000\t-0.038390\t0.037884\t-0.004764\t1\n", - "1.000000\t0.113367\t0.037482\t-0.017484\t1\n", - "2.000000\t0.273023\t0.039817\t-0.033924\t1\n", - "3.000000\t0.350808\t0.047858\t-0.040090\t1\n", - "4.000000\t0.526867\t0.055553\t-0.062274\t1\n", - "5.000000\t0.649849\t0.062152\t-0.071150\t1\n", - "6.000000\t0.895110\t0.057279\t-0.077916\t1\n", - "7.000000\t1.072622\t0.055337\t-0.072902\t1\n", - "8.000000\t1.071409\t0.069547\t-0.062003\t1\n", - "9.000000\t0.910245\t0.102054\t-0.059420\t1\n", - "10.000000\t0.912527\t0.120694\t-0.067496\t0\n", - "11.000000\t2.033940\t0.025672\t-0.340549\t0\n", - "12.000000\t0.790062\t0.163821\t-0.077241\t1\n", - "13.000000\t1.598043\t0.075559\t-0.120103\t0\n", - "14.000000\t0.850345\t0.189771\t-0.078855\t1\n", - "15.000000\t0.879803\t0.202380\t-0.080186\t1\n", - "16.000000\t0.906356\t0.215494\t-0.082299\t1\n", - "17.000000\t0.943299\t0.232618\t-0.080364\t0\n", - "18.000000\t0.963840\t0.247529\t-0.084174\t1\n", - "19.000000\t0.989668\t0.262573\t-0.088756\t0\n", - "20.000000\t0.702072\t0.235170\t-0.056631\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.169746\t0.040587\t0.026931\t1\n", - "-1.000000\t-0.238685\t0.049400\t0.026022\t1\n", - "-2.000000\t-0.137792\t0.061093\t0.025991\t0\n", - "-3.000000\t-0.243275\t0.067824\t-0.008734\t1\n", - "-4.000000\t-0.278564\t0.077447\t-0.009026\t1\n", - "-5.000000\t-0.302944\t0.087017\t-0.008958\t1\n", - "-6.000000\t-0.311725\t0.095545\t-0.010482\t1\n", - "-7.000000\t-0.305476\t0.103153\t-0.014175\t1\n", - "-8.000000\t-0.301633\t0.112176\t-0.020503\t0\n", - "-9.000000\t-0.322753\t0.125810\t-0.025081\t0\n", - "-10.000000\t-0.296577\t0.125589\t-0.024897\t1\n", - "-11.000000\t-0.230799\t0.126942\t-0.027257\t1\n", - "-12.000000\t-0.328258\t0.144174\t-0.023734\t1\n", - "-13.000000\t-0.355004\t0.156072\t-0.022752\t1\n", - "-14.000000\t-0.373552\t0.165150\t-0.019663\t1\n", - "-15.000000\t-0.395980\t0.173849\t-0.016226\t1\n", - "-16.000000\t-0.436044\t0.193075\t-0.014442\t0\n", - "-17.000000\t-0.320915\t0.182005\t-0.023414\t0\n", - "-18.000000\t-0.317937\t0.176570\t-0.019787\t1\n", - "-19.000000\t-0.333244\t0.182149\t-0.016740\t1\n", - "-20.000000\t-0.360908\t0.199582\t-0.014595\t0\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.169746\t0.040587\t0.026931\t1\n", - "0.000000\t-0.169746\t0.040587\t0.026931\t1\n", - "1.000000\t0.309146\t0.043627\t-0.071020\t1\n", - "2.000000\t0.508561\t0.042787\t-0.087450\t1\n", - "3.000000\t0.793661\t0.040174\t-0.118537\t1\n", - "4.000000\t0.878601\t0.045492\t-0.116412\t1\n", - "5.000000\t1.038910\t0.041315\t-0.111947\t1\n", - "6.000000\t1.182897\t0.037724\t-0.104033\t1\n", - "7.000000\t1.269199\t0.040393\t-0.092208\t1\n", - "8.000000\t1.338581\t0.045708\t-0.083488\t1\n", - "9.000000\t1.397439\t0.053742\t-0.076056\t1\n", - "10.000000\t1.408796\t0.067365\t-0.067627\t1\n", - "11.000000\t1.404958\t0.082424\t-0.060086\t0\n", - "12.000000\t1.489842\t0.091374\t-0.050370\t0\n", - "13.000000\t1.020655\t0.190758\t-0.122693\t1\n", - "14.000000\t0.785189\t0.182924\t-0.090736\t1\n", - "15.000000\t0.796649\t0.194583\t-0.092428\t1\n", - "16.000000\t0.817960\t0.207649\t-0.094008\t1\n", - "17.000000\t0.816959\t0.216779\t-0.097096\t1\n", - "18.000000\t0.843239\t0.233011\t-0.098859\t0\n", - "19.000000\t0.840352\t0.241542\t-0.102682\t1\n", - "20.000000\t0.849481\t0.254852\t-0.106072\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t0.288760\t0.039072\t-0.093849\t1\n", - "-1.000000\t-0.172346\t0.046706\t0.004120\t1\n", - "-2.000000\t-0.217709\t0.048235\t0.035700\t0\n", - "-3.000000\t-0.214146\t0.064082\t-0.019507\t1\n", - "-4.000000\t-0.253164\t0.073906\t-0.021218\t1\n", - "-5.000000\t-0.290752\t0.083826\t-0.018476\t1\n", - "-6.000000\t-0.315859\t0.094084\t-0.016622\t1\n", - "-7.000000\t-0.329563\t0.103606\t-0.015869\t1\n", - "-8.000000\t-0.334657\t0.113179\t-0.017917\t1\n", - "-9.000000\t-0.352714\t0.125099\t-0.018719\t0\n", - "-10.000000\t-0.383893\t0.140869\t-0.019218\t0\n", - "-11.000000\t-0.377822\t0.144120\t-0.014611\t1\n", - "-12.000000\t-0.402076\t0.157734\t-0.012893\t0\n", - "-13.000000\t-0.422015\t0.168309\t-0.009752\t1\n", - "-14.000000\t-0.442410\t0.179461\t-0.005757\t1\n", - "-15.000000\t-0.472550\t0.194197\t-0.002982\t1\n", - "-16.000000\t-0.494028\t0.203266\t0.002635\t1\n", - "-17.000000\t-0.522933\t0.215053\t0.007363\t1\n", - "-18.000000\t-0.366291\t0.193676\t-0.007740\t1\n", - "-19.000000\t-0.392377\t0.210633\t-0.005617\t0\n", - "-20.000000\t-0.399044\t0.210852\t-0.001012\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t0.288760\t0.039072\t-0.093849\t1\n", - "0.000000\t0.288760\t0.039072\t-0.093849\t1\n", - "1.000000\t0.485065\t0.034169\t-0.108440\t1\n", - "2.000000\t0.671955\t0.031990\t-0.121508\t1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3.000000\t0.793250\t0.033509\t-0.125104\t1\n", - "4.000000\t0.868915\t0.039114\t-0.122728\t1\n", - "5.000000\t0.996834\t0.039507\t-0.119863\t1\n", - "6.000000\t1.120782\t0.038311\t-0.112867\t1\n", - "7.000000\t1.226394\t0.036224\t-0.101858\t1\n", - "8.000000\t1.283961\t0.034228\t-0.085365\t1\n", - "9.000000\t1.340662\t0.037719\t-0.075657\t1\n", - "10.000000\t1.386031\t0.042997\t-0.066624\t1\n", - "11.000000\t1.385802\t0.049820\t-0.053933\t1\n", - "12.000000\t1.348947\t0.062247\t-0.044345\t1\n", - "13.000000\t1.340240\t0.076954\t-0.039935\t1\n", - "14.000000\t1.274524\t0.102458\t-0.046114\t1\n", - "15.000000\t1.179711\t0.139455\t-0.064813\t0\n", - "16.000000\t1.095906\t0.190260\t-0.095020\t1\n", - "17.000000\t1.087961\t53.436869\t-0.145969\t0\n", - "18.000000\t0.799590\t0.211709\t-0.084801\t0\n", - "19.000000\t0.800423\t0.223341\t-0.088782\t1\n", - "20.000000\t0.810977\t0.237043\t-0.092040\t0\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.057576\t0.041007\t-0.004201\t1\n", - "-1.000000\t-0.160918\t0.049009\t0.000423\t1\n", - "-2.000000\t-0.179634\t0.059779\t-0.018027\t1\n", - "-3.000000\t-0.233950\t0.072175\t-0.021397\t1\n", - "-4.000000\t-0.302599\t0.082993\t-0.013515\t1\n", - "-5.000000\t-0.338361\t0.097734\t-0.016331\t1\n", - "-6.000000\t-0.365175\t0.112137\t-0.016512\t0\n", - "-7.000000\t-0.370653\t0.116574\t-0.008054\t1\n", - "-8.000000\t-0.279286\t0.117180\t-0.013630\t1\n", - "-9.000000\t-0.364667\t0.135360\t-0.012997\t1\n", - "-10.000000\t-0.283618\t0.137700\t-0.016346\t1\n", - "-11.000000\t-0.388398\t0.157316\t-0.013379\t1\n", - "-12.000000\t-0.402736\t0.167422\t-0.012424\t1\n", - "-13.000000\t-0.308099\t0.165513\t-0.016650\t1\n", - "-14.000000\t-0.340649\t0.184204\t-0.017729\t0\n", - "-15.000000\t-0.459766\t0.199701\t-0.007207\t1\n", - "-16.000000\t-0.337750\t0.186763\t-0.014028\t1\n", - "-17.000000\t-0.356120\t0.197265\t-0.013400\t1\n", - "-18.000000\t-0.528834\t0.231184\t0.001505\t1\n", - "-19.000000\t-0.554098\t0.241880\t0.004817\t1\n", - "-20.000000\t-0.584470\t0.272900\t0.005460\t0\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t-0.057576\t0.041007\t-0.004201\t1\n", - "0.000000\t-0.057576\t0.041007\t-0.004201\t1\n", - "1.000000\t0.144522\t0.041537\t-0.033795\t1\n", - "2.000000\t0.499465\t0.039120\t-0.080466\t1\n", - "3.000000\t0.824967\t0.029871\t-0.111150\t1\n", - "4.000000\t1.070911\t0.028823\t-0.130204\t1\n", - "5.000000\t1.188650\t0.034174\t-0.130128\t1\n", - "6.000000\t1.265260\t0.041011\t-0.123735\t1\n", - "7.000000\t1.333793\t0.048092\t-0.116344\t1\n", - "8.000000\t1.349064\t0.058169\t-0.102474\t1\n", - "9.000000\t1.324652\t0.072190\t-0.087114\t1\n", - "10.000000\t1.317620\t0.085398\t-0.075390\t0\n", - "11.000000\t1.511690\t0.077179\t-0.166263\t0\n", - "12.000000\t0.711957\t0.155212\t-0.075273\t1\n", - "13.000000\t0.720421\t0.164357\t-0.074707\t1\n", - "14.000000\t0.731190\t0.173635\t-0.074844\t1\n", - "15.000000\t0.321781\t5435.022687\t-0.027311\t0\n", - "16.000000\t1.024758\t0.219977\t-0.112124\t1\n", - "17.000000\t1.055812\t0.233266\t-0.115537\t1\n", - "18.000000\t1.092688\t0.249709\t-0.118835\t1\n", - "19.000000\t1.114038\t0.261460\t-0.124220\t0\n", - "20.000000\t1.128118\t0.269374\t-0.131352\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t0.078003\t0.046014\t-0.038035\t1\n", - "-1.000000\t-0.160270\t0.051650\t0.000774\t1\n", - "-2.000000\t-0.244868\t0.054046\t0.042453\t1\n", - "-3.000000\t-0.090470\t0.057197\t0.006737\t1\n", - "-4.000000\t0.001144\t0.060627\t-0.021480\t1\n", - "-5.000000\t-0.026254\t0.068784\t-0.022233\t1\n", - "-6.000000\t-0.055716\t0.077665\t-0.022362\t1\n", - "-7.000000\t-0.372301\t0.118337\t0.002126\t1\n", - "-8.000000\t-0.374877\t0.129751\t-0.004728\t1\n", - "-9.000000\t-0.393883\t0.143878\t-0.008871\t0\n", - "-10.000000\t-0.386273\t0.151086\t-0.010718\t1\n", - "-11.000000\t-0.404962\t0.164351\t-0.011880\t0\n", - "-12.000000\t-0.413563\t0.173672\t-0.011649\t1\n", - "-13.000000\t-0.429086\t0.184363\t-0.010978\t1\n", - "-14.000000\t-0.449668\t0.196352\t-0.009966\t0\n", - "-15.000000\t-0.338387\t0.188535\t-0.015960\t0\n", - "-16.000000\t-0.486855\t0.215464\t-0.005555\t1\n", - "-17.000000\t-0.354880\t0.199732\t-0.013581\t1\n", - "-18.000000\t-0.532919\t0.235997\t0.000277\t1\n", - "-19.000000\t-0.380392\t0.214219\t-0.010187\t1\n", - "-20.000000\t-0.396755\t0.223551\t-0.008443\t1\n", - "\n", - "Angle\t\tCl\t\tCd\t\tCm\t\tConverged\n", - "0.000000\t0.078003\t0.046014\t-0.038035\t1\n", - "0.000000\t0.078003\t0.046014\t-0.038035\t1\n", - "1.000000\t0.244925\t0.041653\t-0.049915\t1\n", - "2.000000\t0.340687\t0.045807\t-0.057439\t1\n", - "3.000000\t0.414093\t0.053192\t-0.065821\t1\n", - "4.000000\t0.640409\t0.062988\t-0.095913\t1\n", - "5.000000\t0.802522\t0.068428\t-0.106131\t1\n", - "6.000000\t0.897780\t0.077578\t-0.107040\t1\n", - "7.000000\t0.883303\t0.095331\t-0.104665\t1\n", - "8.000000\t0.829561\t0.115919\t-0.106285\t1\n", - "9.000000\t0.702940\t0.132591\t-0.102042\t1\n", - "10.000000\t0.760266\t0.147427\t-0.108455\t1\n", - "11.000000\t0.811012\t0.160968\t-0.112102\t1\n", - "12.000000\t0.863614\t0.175112\t-0.114840\t1\n", - "13.000000\t0.905417\t0.188754\t-0.116249\t1\n", - "14.000000\t0.945923\t0.202596\t-0.117763\t1\n", - "15.000000\t0.982855\t0.216884\t-0.119837\t1\n", - "16.000000\t1.007863\t0.228209\t-0.122421\t0\n", - "17.000000\t1.037007\t0.240519\t-0.125745\t0\n", - "18.000000\t1.075946\t0.257421\t-0.129470\t0\n", - "19.000000\t1.093695\t0.263911\t-0.134076\t1\n", - "20.000000\t0.785096\t0.237794\t-0.089605\t1\n", - "\tGenerating FLOWVLM Rotor...\n", - "*******************************************************************\n", - "* SETTINGS *\n", - "*******************************************************************\n", - "PARTICLE FIELD SETTINGS\n", - "\tInitial particles:\t\t\t 0\n", - "\tMax particles:\t\t\t\t 484800\n", - "\tSolver method:\t\t\t\t ExaFMM\n", - "\tKinematic viscosity (nu):\t\t 1.7308435142352243e-5\n", - "\tUphi function:\t\t\t\t false\n", - "SOLVER SETTINGS\n", - "\tTime integration method:\t\t rk\n", - "\tVortex stretching scheme:\t\t transpose\n", - "\tDivergence relaxation (eta):\t\t 3240.0\n", - "\tViscous diffusion through PSE:\t\t false\n", - "\tViscous diffusion through CS:\t\t false\n", - "\tFix Lagrangian distortion:\t\t false\n", - "\tEXAFMM\n", - "\t\tMultipole expansion order (P):\t\t 4\n", - "\t\tMax particles per leaf (NCRIT):\t\t 50\n", - "\t\tNeighborhood criteria (THETA):\t\t 0.4\n", - "\t\tRegularizing neighborhood criteria (PHI): 0.3333333333333333\n", - "\t\tP2P type:\t\t\t\t 5\n", - "\t\tL2P type:\t\t\t\t 1\n", - "\t\tInitial internal RBF flag:\t\t false\n", - "\t\tInitial internal LAGRANDIST flag:\t false\n", - "\t\tTarget core overlap sgm/h (LAMBDA):\t 1.5\n", - "\t\tMax Lagrangian distortion particles:\t nothing\n", - "RUN SETTINGS\n", - "\tRun name:\t\t\t\t singlerotor\n", - "\tNumber of time steps:\t\t\t 1200\n", - "\tTime step (dt):\t\t\t\t 9.259259259259259e-5\n", - "\tRelaxation steps:\t\t\t 1\n", - "\tReinitialization core size (sgm0):\t nothing\n", - "\tMaximum core growth sgm/sgm0 (beta):\t 1.5\n", - "\tRBF max iterations:\t\t\t 15\n", - "\tRBF tolerance:\t\t\t\t 0.001\n", - "\tRBF ignore convergence:\t\t\t false\n", - "\tParallel Uphi:\t\t\t\t false\n", - "\tGroup Uphi:\t\t\t\t false\n", - "\tFMM autotuning:\t\t\t\t false\n", - "\tRuntime function:\t\t\t true\n", - "\tStatic particles function:\t\t true\n", - "\tSave path:\t\t\t\t temps/dji9443_single_bemnoise_00/\n", - "\tSave steps:\t\t\t\t 1\n", - "\tSave restart steps:\t\t\t 1200\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/edoalvar/.local/lib/python2.7/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n", - " warnings.warn(message, mplDeprecation, stacklevel=1)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "*******************************************************************\n", - "START temps/dji9443_single_bemnoise_00/singlerotor\t2020-07-07T14:34:30.936\n", - "*******************************************************************\n", - "Time step 0 out of 1200 \tParticles: 0\n", - "Time step 10 out of 1200 \tParticles: 0\n", - "Time step 20 out of 1200 \tParticles: 0\n", - "Time step 30 out of 1200 \tParticles: 0\n", - "Time step 40 out of 1200 \tParticles: 0\n", - "Time step 50 out of 1200 \tParticles: 0\n", - "Time step 60 out of 1200 \tParticles: 0\n", - "Time step 70 out of 1200 \tParticles: 0\n", - "Time step 80 out of 1200 \tParticles: 0\n", - "Time step 90 out of 1200 \tParticles: 0\n", - "Time step 100 out of 1200 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out of 1200 \tParticles: 0\n", - "Time step 1150 out of 1200 \tParticles: 0\n", - "Time step 1160 out of 1200 \tParticles: 0\n", - "Time step 1170 out of 1200 \tParticles: 0\n", - "Time step 1180 out of 1200 \tParticles: 0\n", - "Time step 1190 out of 1200 \tParticles: 0\n", - "Time step 1200 out of 1200 \tParticles: 0\n" - ] - }, - { - "data": { - "image/png": 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", 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dSmJiIl26dOGRRx4hKiqKM2fOsHXrVs6cOXPRk9Dr6qmnnmLt2rUMHTqUhx9+mG7dupGXl8cXX3zB8uXL6dKlC7fffjvr1q1j6NCh3HLLLRw7doxly5bRsWNHt+fhmEwm2rdvz4cffkhMTAx+fn7Ex8fTqVOnavvt0aMHI0eOZMmSJeTl5ZGYmMhvv/3GqlWruPvuu0lMTKzXuAVBEOqkMZcQEwRBaEjOJXCdPzqdTgkODlZuuukm5fXXX1eKioqqvafqMsObN29W7rjjDiU0NFTR6XRKaGioMmLECOXQoUNu7ysrK1NmzpypREVFKVqtVgkODlbuvvtu5ejRo4qi/G+Z4X//+981HqvValVeeuklpXPnzoper1f8/PyUHj16KHPnzlUKCwtd+Q4cOKBcf/31itFoVADX0r9Vl/sdNWqUW+yVfyovF7x8+XIlNjZW0ev1SlxcnLJixYpq5+BC9uu0ePFiJS4uTtFqtUrr1q2V8ePHK/n5+W55+vXrp3Tu3LnauRg1apQSERFR43mqid1uV0JCQhRA+eabb2rNd+TIEeX+++9XWrdureh0OqVt27bK4MGDlc8++8yVx7mU8B9//FHt/ZeyzLCiVCz1PGHCBNdnKSwsTBkzZoySl5enKErFcsPz5s1TwsPDFYPBoHTv3l355ptvlJEjRyoxMTFu20pJSVG6d++u6HQ6tyWHqy4zrCgVn63Zs2crkZGRilarVcLDw5WZM2dWW9K4TZs2yh133FEtlr59+yr9+/ev8ZwKgiBcDpKiiJlugiAIgiAIgiA0DWIOiiAIgiAIgiAITYbooAiCIAiCIAiC0GSIDoogCIIgCIIgCE2G6KAIgiAIgiAIgtBkiA6KIAiCIAiCIAhNhuigCIIgCIIgCILQZIgOiiAIgiAIgiAITYbooAiCIAiCIAiC0GSIDoogCIIgCIIgCE2G6KAIgiAIgiAIgtBkiA6KIAiCIAiCIAhNhuigCIIgCIIgCILQZIgOiiAIgiAIgiAITYbooAiCIAiCIAiC0GSIDoogCIIgCIIgCE2G6KAIgiAIgiAIgtBkiA6KIAiCIAiCIAhNhqaxD6Apk2WZ06dP4+XlhSRJjX04giAITYqiKBQXFxMaGopK1XKvd4m2QhAEoWYX206IDso5nD59mrCwsMY+DEEQhCbt5MmTtG3btrEPo9GItkIQBOHcLrSdEB2Uc/Dy8gIqTqq3t/cFvdfhcLBnzx7i4+NRq9X1cXhNioi3+WpJsYKI90IUFRURFhbmqitbKtFW1E1LihVEvM1dS4q3MdoJ0UE5B+etem9v74tqdEwmE97e3s3+gwsi3uasJcUKIt6L0dKHNYm2om5aUqwg4m3uWlK8jdFOtNxBw4IgCIIgCIIgNDmig1JPVCoV7dq1azETR0W8zVdLihVEvELDaknnvyXFCiLe5q4lxdsYsTb/s9pIJEnCx8enxQx9EPE2Xy0pVhDxNicvvvgivXr1wsvLi6CgIO68804OHjzolsdsNjNx4kQCAgIwmUwMGzaMM2fONNgxNufzX1VLihVEvM1dS4q3MWIVc1DqSUuaPAUi3iuZw+HAZrOd8/WDBw/SoUOHKz7WuhDx/o9Wq72iz8GWLVuYOHEivXr1wm63M2PGDG6++Wb27duHp6cnAE888QTr16/nk08+wcfHh0mTJjF06FC2bt3aIMfYnOqS82lJsULLiLdy+yHqzubrfLHqdLrLfndFdFDqkSzLjX0IDaqu8dqtVja/+ioFR4/iGxND/yeeQKPT1fPRXX5XevkqikJmZiYFBQXnzadWqzl+/HiLuFIk4nXn6+tLcHDwFXkuNmzY4Pb7ypUrCQoKIjU1leuvv57CwkKWL1/O6tWrufHGGwFYsWIFHTt25LfffuOaa65pkOO80usSWZbZs2cPubm5BAQEEB8f7/Zlxfl6VlYWOTk5dOnSpdl/oXO60su2NjW1H6LubL7OF6tKpSIqKgrdZfwuJzooQr2RZZk9u3Zh2bGDACC6Vy8+f+89PN56i2iLBR1gBb6fPZuyRx9l2GuvNfIRtyzOxiUoKAgPD49aK1hFUSgvL8doNDb7ShhEvJXTy8rKyMrKAiAkJKSxDvGyKSwsBMDf3x+A1NRUbDYbAwYMcOWJi4sjPDycX3/9tdYOisViwWKxuH4vKioCKq4yOhwOoGJIhEqlQpZlFEVx5XWmO/M5/5VlGbVa7frdSaVSIUlSjenO99UlXa1WoyhKjelVj7G29JpiSklJ4as5c0jauZP/mEwc8vIiLi6OJ554gus9PcmZMYP5VivrMzOxWq0oisKaNWuYNm0a1157bZOMqXJ61fNeW3pN5eT8v6IodS6/ph6TMz0jI4PCwkICAwPd2o/y8nIMBoNbXSJJUrXjborpF8K5jarxNoeYakqXZRmz2VxjrM4H1TqfB1X1M1n181NXooMi1IuUlBS+nTGDG3ftIspsRgdkAgPsdsqAdEnCIknoFYU4i4WiRYtYqygMGzMGcnMhIADi46EFTD5rDA6Hw9U5CQgIOGdeZwVUtdFprkS8/2M0GgHIysoiKCjoir7qLcsyjz/+OH379qVLly5ARSddp9Ph6+vrlrd169ZkZmbWuq0XX3yRuXPnVkvfs2cPJpMJgICAACIjIzlx4gS5ubmuPCEhIYSGhnLs2DFXxwYgPz+foKAgDhw4gNlsdqW3a9cOHx8f9uzZ4/altVOnTuh0Onbt2uV2DAkJCVitVvbt2+dKU6lUdOvWjaKiIo4cOeJKNxgMdO7cmby8PI4fP+5K9/b2JjY2lszMTDIyMlznLzs7G71ej8ViITAwkN27d/PySy8x+/Rp+lqt2PV6ZqnV7Nixg3GPPMLHfn6E/fEH3XU6NkZE4OnnR0xBASM3bWLJ/v0ceuopEhISGi2miymniIgIWrVqVedycp67P//8s9nE1KFDBwoKCvD19cVoNKIoCoqiYDQaXV9MnV9OJUnCaDRit9vdOvUqlQqDwYDNZsNqtbrS1Wo1BoMBq9XqNvRYo9G4Pnt2u92VrtVq0el0mM1mty/COp0OrVZLeXm527Hr9Xo0Gg1lZWVuX8adF2jKysrcysnDw8PVEXGqHFPleJtLTLWVkzNO590UZ0yyLOPt7U1GRgayLBMdHe322SspKeFiSMqldrmasaKiInx8fCgsLLzgte0VRanW22zOKsf7888/8+6YMfzrxAl8JYkCnY5yWSaqrAwvwAIcU6kokiQUSUKRZdrJMmqViqB27ZCsVtDrIS4Opk6FxMTGDq+aK718zWYzf//9N5GRka4vobVxVkiSJF2RsV4oEa+78vJy0tLSiIqKwmAwuL12KXVkQxs/fjzffvstP//8s+tpxqtXr2bMmDFuDTJA7969ueGGG3jppZdq3FZNd1DCwsLIy8tznYe6XsV21iVGo7HJ3kFJSUnh1VdfRb1rFw/m5PDfVq2wX3UVeXl5+B89yhuFhagAGXghLo6TRiNhBw8yKz8fWZJAp+OFuDgOenkx5dAhEnNz2aDXs+bGG/nk009dx9zc7qAoioLVasVgMFQ7lis1JgCr1UpaWhoRERHV2g9ZlqvNRWhqdxUu592GqvE2h5hqSz9XrM52IjIyEg8PD7fPXlFREf7+/hfcTog7KPXoco7FuxLodDpkWWbhK6/w6OnT+KlU5Oh0eNvt+Nps6IEyQAe0k2XMQKFKhQXwAbSyTGFZGb5RUShmM9bt27GOHk3mzJnEjB7d5Jbyaw7lW9cv4C3hi3plIt66vXalmDRpEl9//TU//fSTq3MCEBwcjNVqdV0Ndjpz5gzBwcG1bk+v16PX66ulq9XqaneZaqu3nPmcV56d+Wq7S3U50iVJqjG9tmNUqVSkpKTw+OOPU5Cfz6tlZfSz2VDKypi4Ywd5eXmsMRjws9kwq1R42e3M27uXUwYDbUpL8ZZlcjUa1LLM7ZmZSMBVhYWUaDRcY7ezdtcu9u7d63YXpSFiupD0SznviqKg1+tdHYC6bqcpx+Q8Puf2qw4Lde6zar1RWz3S1NIvVE3xXskxnWsb54rV+VmoerEBav9cnU/T+sbXjMiyzK5du5rtBLmqZLudg2vWcPQ//yFyxw46yDJmtZqw8nL8bTa8HQ7XFTYbFT1jLeAny0TLMnpAAax2OwUlJfz199/sys+n4Phx0h57jGF33UVKSkojRuiupZVv1VvEzZ2It3lQFIVJkybx+eef88MPPxAVFeX2eo8ePdBqtWzevNmVdvDgQU6cOEGfPn0a5Bibcl0iyzILFiygoKCAgQEBdC8tpVStpldJCUkmE90cDrqUlKBWFIyyjCxJeNvt+NtseCoKJUCJRkOhVkt8fj5j0tJobTajlmU8ZJlheXlkZ2Wxa9cuNm/e3GTPw8VqymVbX5prXVKblhRvQ8cqOijCpUtJQbr7bqJmzKDt3Ln868wZQq3WioYIsKpU5KnVKODqpMhApkpFmSTh7FtrAO/8fAr27aOkuBi1Vkux0UiszUabX35h1ejR7Hz3XWhBlb1w8SRJ4osvvmjS+0tKSuLxxx+vpyMSJk6cyPvvv8/q1avx8vIiMzOTzMxM19hrHx8fHn74YaZMmcKPP/5IamoqY8aMoU+fPg22gldTtmfPHg4cOEBQYCC3Z2biY7PhbbPha7Nxd34+YxUFjSyTpdFwRq/npNFI0dmrpQVqNX9RcZe8TK3G0+EgvrAQO+Blt2NwOOhTXs7ap59m+PDhjB07luHDhzN06NAmdTFKEM4lOjqaZcuW1es+zGYzkiRVW5WwuRMdFOHSpKTA5MlIu3cje3riaN0aA6BRFPSyjFml4qTRSK6HB6VUDO9ydlKKJYlcScJ29nc7YHc4wOHAYDCgVqvRKgqtbTaeKSrimRMnCHrsMZShQyv2KzQJzquEDXkFNDMzk8mTJxMdHY1erycsLIzBgwe7XQlvjpKTk5Ek6bxLQwsVli5dSmFhIUlJSYSEhLh+1qxZ48rz6quvcvvttzNs2DCuv/56goOD+eyzzxrxqJuO3NxcLBYLCTYbfXNy0J6dq2SXJPqUlHATkAPkaDQUa7WUazSUazSEmM2UKQpanQ6HLIOioDnbmTmj02FVqcDhIMjh4PYDB/D28iIsLAxvb292797N5MmTRSelhWjI9sM5z662nzlz5lzwNrdt28aoUaPqlDc4OLjeOzNO06dPv+Ivsog5KMLFk2VYsAAKCiAiArm0FNPp05SqVNhlGTWgdThQAFQqsnQ6DFYrRqAEKFcUdLKMiophXwVBQRQUFmLRapEkCU+7nbCyMjSKQqlGQ75KhdZmI3D7dvSTJ8MbbzTJCfQtSUpKCgsWLODAgQNYLBb0ej1xcXFMnTqVxHoqm7S0NPr27Yuvry///ve/6dq1KzabjY0bNzJx4kQOHDhQL/uFismhzWHuUUtRl0mjBoOBN998kzfffLMBjugKkppKt1deoYfDwWOHD+Npt2NVqcjW6SjUaOhQUgKKQiagtlrRUHHxyctmQ60o+CsKXsHBZGVnoy8rw3B2orWXw8FRlYq2koS3otDfbGZPcTHHFYX/O3mSj9u25fu8PBYuXEjfvn2b3NxD4fJp6Paj8kpna9as4dlnn+XgwYOuNOcKfBciMDDwvAvNCBdH/OXXE5VKRUJCQrOtXGVZ5uAnn1CamkqpyQSSVPHHHRqK1tubE3o9VknC0+HA22pFsduxAWWSRBlQDITKMlogX6UCLy88goMpkiRQq0FRCDKb0SkKMmBRq5HUakolidLAQCxZWWQ9/TS7du5slPG9zb18q/Lw8KiWlpKSwuTJk9m1axfe3t4NdgV0woQJSJLE9u3bGTZsGO3bt6dz585MmTKF3377zS1vTk4Od911Fx4eHsTGxrJu3Tq317ds2ULv3r3R6/WEhIQwffp07Ha7K96kpCQmTZrE448/TqtWrRg4cCAAhw8f5vrrr8dgMNCpUye+//778x53aWkpDz74ICaTiZCQEBYsWFAtz6pVq+jZsydeXl4EBwdz3333uZ5DkpaWxg033ACAn58fkiQxevRooOKBhNdddx2+vr4EBARw++23c/To0Tqf05rKV2gYTa0ukWWZXX/8walnn8Vr2zZey8sjqrwcu0rFGYOBQp0OJAlZktCDjQlJAAAgAElEQVQoCmF6Pa31ejxsNvQWC3qHA1mS8NFqCTYaadeqFW2ouKtuB/QOByadjiyNhnKtFrWi8MixY9x3/Dg98vMZnJFBYKtW7N+/nz179jT26bgkTa1sG0Jd65LGaD+Cg4NdPz4+PkiS5JZmMpno0qULixcvdr1n0KBBGAwG1/LLR44cQZIk0tPTAYiJiXHdFVEUhZkzZxIWFoZer6dt27ZMmzYNgGuuuYYzZ84wfvx4JEmqtiJiZfv376dv374YDAa6dOlCcnJytTxPPPEEsbGxGI1GYmJieO6551xLFS9btoyXXnqJbdu2ue4OffTRRwDMnz+fzp074+HhQXh4OI899lid55Y0dDvRcv5qGkHldbCbk5SUFIYOHcqL06aRl5nJ3qNH+WvvXvILCsDLC318PK06dSLDywubJGG0Wgm0WGil06G+7jo8N29m//z5bH/kEdLmzyfg++/xjI7GIzsbT0UBhwMfmw2Tw1Ex9Eutpm15OX4WC4qicPzECQ7m5VG8bRtzhg5ttDHLzbV8a1L1SnTlybORkZF4enqiVqvx9PQkIiKCwsJCFi5ceNk7j3l5eWzYsIGJEyfi6elZ7fWqz7OYO3cu99xzD3v27OHWW29l5MiR5OXlAXDq1CluvfVWevXqxe7du1m6dCnLly/n+eefd4v3vffeQ6fTsXXrVpYtW4YsywwdOhSdTse2bdtYtmwZTz311HmP/V//+hdbtmzhyy+/5LvvviM5OZmdO3e65bHZbMybN4/du3fzxRdfkJaW5uqEhIWFsXbtWqBiIndGRgavv/46UNH5mTJlCr///jubN29GpVJx11131fn8i9XmG1dTqUucdfvzd95J+XffUVxQQHBpKRpF4ZRKRTmgs9vR2O38rVJRrFaj7tOH0B07sHz8MVnvvEP6ihWov/0WTXIyfPUVHhs24NmnD442bVBCQtC1aUO4nx8mRaFMo6FMrQZJIqq0lBKNhviCAhLsdqxWq9szPK5UTaVsG0pd6pLGaj/qol+/fq4Ogd1uZ+vWrXh5ebkufm3ZsoWYmBi31QCdPvjgA1c7cvjwYdauXUunTp0A+OabbwgMDOSll14iIyPD7Xk2lTkcDu644w58fHzYvn07ixYt4sknn6yWz9fXl1WrVrF//34WLFjAG2+8wZIlSwAYNWoUkyZNonv37mRkZJCRkcGdd94JVDxjZcmSJezbt4/ly5ezfv16Zs2aVadz09DthBjiVU9kWWbfvn0kJCRc0Q83q8p51aOgoIC+Pj7Iubm0tds5U1TEodJSOnTogJ+vL74+Pvh06IDlzBlyH3gAY1gY0b16oUpIAJWKgTfe6L7hN95At2AB/ps3I5vN6FUqbJLEaaMRoyzjZbPhb7GgouKBj1qNBi9Z5kaHgw3bt/PPSZNYtHhxvQ0rqqq5lm9tysvL3a6euCbPBgXVuJxkYGCg6wpo1SVEL8WRI0dQFIW4uLg65R89ejQjRowA4IUXXmDRokVs376dQYMGsWTJEsLCwli8eDGSJBEXF8fp06d56qmnmDZtmut2f2xsLC+//LJrm9999x0HDhxg48aNhIaGurZ9yy231HocJSUlLF++nPfff5/+/fsDFR2fqo3cQw895Pp/dHQ0ixYtolevXpSUlGAymVxPQA8KCnLrjA0bNsxtO++++y6BgYHs27fP9VDCc6lavkLDaSp1iatuP7ucsKdaTbpWS6fycqyShF6jQX32YW2SJKHX6zH6+1d8bmJi6HSOv0np00/RFxbicDjYv38/AFOnTsVkMuGh1zPqxAm6FBaSYTAQYjZzS3o6P/n7n/chsk1dUynbhlSXuqSx2o+6SEpKYuLEiSiKQmpqKgEBAQwaNIjk5GSSkpJITk6mX79+rvyVv7SfOHGCNm3a0L9/f9RqNeHh4Vx99dUA+Pv7o1Kp8Pb2PucS5uvXr+fEiRP88ssvtGrVCoDnnnuOu+66yy3f7NmzXf+PjIzkr7/+4uOPP+af//wnRqMRT09PtFpttX1NnTrV7X1z5sxh+vTpLFy48LznpqHbCXEHRaizqlc9Mlq1olirJcBuJ8bhQLLbSU9Pr5hzoihI2dkYunen63PP0e4f/0DVvXvtT4ZPTET67DOyXn+d58PDmeftzRmtFotKxWmtlnSVCllR8AXi7Hbam8342e2MyMpiWUEB8w8f5tsZM1rUco6NyTl5trbb1M4nzF7uK6AXegUnPj7e9X9PT0+8vb1dQ6b2799Pnz593BrIvn37UlJSwqlTp1xpPXr0cNvm/v37CQsLc3VOgPMuSXv06FGsVqursYKKBqtDhw5u+VJTUxk8eDDh4eF4eXm5GsITJ06cc/uHDx9mxIgRREdH4+3tTWRkZJ3eJwhQ83LCRVotDr2eNA8PclUqPuzSBfOaNWS9/TaWjz8m9Pff8di0CVauBK323DsICoLYWIiNxRIeTofbb8cYH8/O4mI8HA5ii4sprLSNq/PzuT04GFmWm+Xywy1dY7UfddGvXz+ys7PZu3cvW7ZsISkpydUxAVxpNRk+fDh5eXlER0fzj3/8g3Xr1lV7yOX57N+/n+joaFfnBGpuX95//3369OlD69atMZlMPP/883Wq77/99ltuuOEGQkNDMZlMPPLII5w+fdrtSfZNRZPqoLz55ptERkZiMBi4+uqr2b59e6153377bRITE/Hz88PPz48BAwZUyz969OhqqzQMGjSovsNotvbs2cPB/fvpazLRo6CAHvn5SLKM4+x4ZA+1GnNJCWXZ2XD8OPj4wJQptXdKqlKp6P7QQzywciWnrr2WI1otXuXlOGw2zJ6eHNfpUKlUmBwOPBwOylUqThkMlGo0dHU4eGDHDo6uXFmv50CoEBAQgF6vd43LrcpsNqPT6S77FdDY2FgkSarzRHhtlS9OkiRd8BedmoaS1YfS0lIGDhyIt7c3H3zwATt27ODzzz8Hzj9MZPDgweTl5fH222+zbds2tm3bVqf3CQL874p2cKtWPH74MJ4OR8XQK6BYq0WrVhN96BC2iAiuHTWKTnfcgapDh4pOR2DgBe9PpVIxdepUfLy9STp8GK3DQalKhYfVitFqxd/h4M4//+S+ESPE8sPNUGO1H3URFBREx44dSU5OduugbNu2jf3793Py5Em3OyiVRUdHc/jwYV5//XW0Wi2PPPII/fv3v+BOyvn8+OOPjB49mrvuuotvvvmGP/74g2nTpp23vj906BB33HEHvXr14vPPP2fnzp0sXLgQRVFEB+Vc1qxZw5QpU5g9ezY7d+7kqquuYuDAga6rnVUlJyczYsQIfvzxR3799VfCwsK4+eab3a58QsUEJ+cYvIyMDD788MOGCAeo/SmuVypHcjKvnTzJC8eOMe3AAZ7du5c2ZjMHvbz4y8cHL0Whtd0OhYWQkHDRq2wlJiay9vPPiXj9dXwjIkjw8yO6dWssZ1+XAKskccZoRFGpMKvVZBoMmOx2fBrwOSnNrXzPpept+Pj4eOLi4sjOzq52V0NRFLKzs+nYsaPbHYzLwd/fn4EDB/Lmm29SWlpa7fULWX63Y8eO/Prrr27H7xxvXNP44srvO3nypNuKMFUn51cVExODVqt1dRwA8vPzOXTokOv3AwcOkJuby/z580lMTCQuLq5a/edcQaxyg5ebm8vBgweZNWsW/fv3p2PHjuTn558nenfN4WnxV7LGrktyc3OxmM1My8gg6uyKW64jkiSKtFq6l5Vh/eWXS96XM9bExERWTJxIIpAnSVisVgqAEp0OuyTRvaCA4VYr/X19eS07G8f27Vfk8sONXbYNrS51SWO1H3XVr18/Nm/ezM8//0xSUhLBwcFEREQwf/58oqKiCA8Pr/W9Hh4e3HnnnSxevJjvvvuOLVu2uFYK0+l05+2sdOzYkWPHjpGTk+NKq9q+/PLLL3To0IEnn3ySHj16EBsbS1pamluemva1Y8cOdDodL7/8MldffTXt27ev9p35XBq6nWgyfzkLFy7kkUceYcyYMXTq1Illy5bh4eHBu+++W2P+Dz74gAkTJpCQkEBcXBzvvPOO63ZwZXq93m2VBj8/v4YIB7VaTbdu3ZrPuNOUFDotXUpnm43is+vgqwCDLONrs/FJ27bMbNeOZ4ODSX/lFVi79pKWAFapVMQ+9BBeK1ei790bvdlMhCyjl2VK1GpOenpSoqmYQmVwOFBkmXyNBu+TJ+GTT2DzZti1q946K82ufM9BkiQ8PDzcKifXFVAfH44fP05paSkOh4PS0lKOHz+Oj48PU6ZMqZfG+c0338ThcNC7d2/Wrl3L4cOH2b9/P4sWLbqgp39PmDCBkydPMnnyZA4cOMCXX37J7NmzmTJlCiaTqdbKeMCAAbRv355Ro0axe/duUlJSmDlz5jn3ZTKZePjhh/nXv/7FDz/8wF9//cXo0aPdzk94eDg6nY433niDY8eOsW7dOubNm+e2nYiICCRJ4uuvvyY7O5uSkhL8/PwICAjgP//5D0eOHOGHH35gypQpdT4PNZWv0HAavS45u5zwk0VF9MvORqUo5Oj1aGUZvcOB3uHABnjJMtE//ACXMFHWLVZFodvvv9PG25vI2Fg6RUbSOTqaEqORYklCA0w4dYoH0tO5uriYcUBhQUGjTZ6+GI1etg2srnVJY7YfdZGUlMRXX32Fn5+fa7hsUlISH3zwgdvdk8qjcwDeeecdVq5cyd69ezl27BirV6/GZDIRFhYGVMz5SE5O5vTp07UOX7v11lsJCwtj1KhR/PnnnyQnJ7vNN4GKkQRHjhxh7dq1HD16lAULFrB+/Xq3PJGRkRw+fJg///yTnJwcrFYr7dq1o7S0lKVLl3Ls2DFWrFjB8uXL63ROGqOdaBIdFKvVSmpqKgMGDHClqVQqBgwYwK+//lqnbZSVlWGz2VyTSJ2Sk5MJCgqiQ4cOjB8//pxjGi0WC0VFRW4/UHG10vnjrBhlWa4x3fm73W4nPz/f1YOtnNfhcLiuGtSUrihKndOBWtOrHmNt6eeNyWZDfuUVDBYL+d7eyHY7vnY7MnDCYMDgcDAsPZ2tRUUU9uxJ9NChOCod0yXFdO21OD75BPUnn7ChfXvyVCqOeXpScraBM9jttCkvJ7S8HG+tFn12Nsq0aShjx8Lw4ShDh+JITq61nM6XXls5ybJMQUEBdru96ZTTBcbkPNa6/Njt9mppiYmJLFq0iKuuuorCwkJOnjxJYWEhCQkJLFq0iOuuu84tf237vND06OhoUlNTSUpKYurUqXTp0oWbbrqJzZs3s2TJknO+v3JaaGgo69evZ/v27Vx11VU8+uijPPzww8ycOdMVrzN/5fdJksRnn31GeXk5vXv3ZuzYsTz//PNueWra98svv0xiYiKDBw9mwIAB9O3blx49erjyt2rVihUrVvDJJ5/QqVMn5s+fzyuvvFLtmJ2TGlu3bs2kSZOQJIkPP/yQ1NRUunTpwhNPPOGa1F/X81u5fM+Vv7bPnnDxFEWhsLCwcVZSUxR46y38fvmFe0tL0TgcFGi1SIqCp93u+jFaLNiMRgLKy+EShoK4xWq3Q3o6krd3xd1vQFNaiqasDItOR7lajYcs0zsvD7NKRXxBAdd7eFxRyw83atk2gsp1yfkkJibyxhtvcNVVV1FUVER6ejpFRUUkJCTwxhtvNNiCNzXp168fDofDba5JUlJStbSqbYSPjw9LliyhT58+XHXVVfz888+sX78eLy8vAP7f//t/7N+/n6ioKNq0aVPjvjUaDV988QV5eXn07NmTCRMm8OKLL7rl+b//+z/Gjx/PuHHj6NatG3/88QdPP/20W557772XpKQkEhMTCQwM5LPPPuPqq6/mxRdf5LnnnqNr166sXbuWF154oU7n5ELK9nKRlCbwl3P69GnatGnDL7/84nYF9Mknn2TLli1uwyJqM2HCBDZu3MjevXtdE68++ugjPDw8iIqK4ujRo8yYMQOTycSvv/5a4xWNOXPmMHfu3GrpycnJrhV9AgICiIyMJC0tza2zExISQmhoKIcPH3Z1bKBiadCgoCD27t3rNt6yXbt2+Pj48Mcff7g18p06dUKn07Fr1y63Y0hISMBqtbJv3z5Xmkqlolu3bhQWFnLkyBFXusFgoHPnzuTk5LgtZeft7U1sbCynT592G55yvpiOf/klQY89huzpSaHDgXLsGCaHg0KNhjM6HQa7HaPNxtQ2bXjivffw8fGpl5gs27bhN348+YqCXatFUqnwcDgItVjQKQrGig1gjohAatUKo6Jgy8jAZjRy8sknKenWrdZyioiIoFWrVnUupw4dOrg94KkplNOFxKTX6zl48KBrvXYAo9GIJEnV1kQ3Go2Ul5e7pTmvptjtdsrLy/nrr7/Izc2lVatW9O7dG4fD4TYeVq1WuyY+2mw2V7pGo0Gv12OxWNzGwGq1WnQ6HWaz2e02tU6nQ6vVUl5e7lYeer0ejUZDWVmZWwVaW0weHh4oiuIWV+WYLBaLK12lUmE0GrHZbC0yJovFwqlTp4iNjSUzM9Pts2cymYiLi6OwsBBvb29aqqKiInx8fC7qPDgcDnbt2tU4Kz3t2AFDh0JuLg5ZZqW3N+/rdPj7+7s+w3l5eXh5efHMM8/Q66abLmrOiVO1WLOyKoYEn/XLL78wc+ZMQkJC0AFz9u4lxGzGrFJh1mjY5ufH4wYDb7/zjms1vKasUcu2HpnNZv7++2+ioqLcJrorikJZWdkFXWmXZZk9e/aQm5tLQEAA8fHxV8ywuIuJ90p1vlhr+0zAxdePzWKZ4fnz5/PRRx+RnJzsdmKGDx/u+n/Xrl2Jj48nJiaG5OTkGiu3p59+2m1oRFFREWFhYcTHx7tOqrNgwsPDXbftKqdHR0cDFRXTn3/+6RpSVnVZVOcfYNUxls70qkvrqVQqDAZDjUvueXt715ju7+9f45C24OBgWrduXe3Ya4uprdGISpLA3x8PtZpCo5HcY8fIsdlw2O2YgUC9nn/cfXeNVz0uV0zqjh3JefddPHbuJE2WccgyJZJElrc37UpKkOx2UKkw+vvD2aXwNDExaNLSiP36a5RRo5DONhLOcqoaa13LyfmFsWvXrm4NT2OW04XEZLFY0Gq1GI3GapVJbcsIOr8YV6ZWqzGZTFxzzTVu+5UkCY2mevWi1WqrTVyHii/pNT2h3dl5qqq21V9qe6JvTTE5v7xX5SzPqvFqNJorOqaa0jUaDWq1mvLycrd4K8ekUqlc56TqZ6+4uLjGYxOaLtcXwpwcui1ciF9ODpJej1qt5tarr+YrlYq9Bw9iLSlBp9PRsVcvpkyZQq/6uKIdFFTxc5ZHaSkZJhOlkkT3s/NgStVq8vV67JJE14ICugcFXfHLDwv/43yYpSBU1SQ6KK1atUKtVnPmzBm39DNnzpxzvWiAV155hfnz57Np06bzTqhyLt125MiRGjsoer2+xi8ParW62tWP2nr4teWr7erJ5UiXJKnG9NqO8ULT1UFBoNeDxQKenvj6+uLTvTuBJSXYbTZ0Z++gRJ5djrU+Y2r14osokybhm52N2dsblYcHJqsV6eDBiifQ6/Vw9ChERICvb8UXrqAgpAMHYO/eisn7l+EYnVfAa/psXGhMl62cLjCmquNna+PsjNWUt7b3NrX0i1E13is5prpsu3K8taVX/exdKVc6hQopKSksWLCAAwcO0KGoiNdycpBVKkx6PYa2bQk5coTPVq5kj17fKFe0nZOnd+/axW1WKzpZ5riHR8VKkLKMp83GOEki3mqFkSMrVomssgy4IAjNQ5NoXXQ6HT169HCb4O6c8H6uSa8vv/wy8+bNY8OGDfTs2fO8+0lPTyc3N5eQkJDLctznU9sV0StOfDzExUF6Opz9Yi4BXiYTfr6+eJaWQseOKF271v+xJCYiLV6MvndvfACvggKkwkLQ6aBTJ/D3rxhXnZYGJSUV7zEYwGqFy7ymerMp3zpoaV9ERbxCQ2qIusT5IMZdu3bh7eXFw4qCXpI4DPxZWkqBLEN5Oarly0m46ir69+9PQkLCZf9snCtW5+Tpa3U6OmZnk6dWo0gSDocDs9VKiUbDDTk5qKZPR/n+e3JeeIHNmzY16eektKR2AlpeXdKS4m3oWJvEHRSAKVOmMGrUKHr27Env3r157bXXKC0tZcyYMQA8+OCDtGnTxjVZ6KWXXuLZZ59l9erVREZGkpmZCVSMiTaZTJSUlDB37lyGDRtGcHAwR48e5cknn6Rdu3YMHDiw3uNRq9V07ty53vdT35zDAejZk67ff4/q99+ROnQALy8wmyE7G3x8UE2dSueG6KBAxepgffvCnj0VnY6cHHj22YqOSEDA/zpSZ+cNYTZXPEgsJ6dida+AgIpO1yX8sTWX8q0LSZJqHWbUHIl4hYbUEHVJ1YfsxhUVcVVhIcU6HQa1GrPFwsn0dHzCw5FSUuD336FXr8t+HHWJNfG662jXoQO6kydJd1Q8AFgjSXh5eBCh1aLNy0P+6SdytFqKv/6aRb/+ykFvb+Li4pg6dWqjTq6uqiW1E9Dy6pKWFG9jxNpkOij33nsv2dnZPPvss2RmZpKQkMCGDRtcY/BPnDjh1ntbunQpVquVu+++2207s2fPZs6cOajVavbs2cN7771HQUEBoaGh3HzzzcybN6/WMeCXkyzL5OXl4e/vf8X2sCsPB7gvKwud3Y6/Wo13bi4ezrsWCQkwZQpy377k5eQ0XLwqlWu4FrIMH34Iu3dXzD1p2/Z/S2EqCpw4AZIEzz6LYrViURSK2rSh8OGHiamy1GtdNYfyrSvn6h0ajabZTwQEEa/QsBqiLnE+iDEoKAgJGPv33wRaLJwyGtHLMhq1GkdxMaVWK6aiInj7bejZs6LevIzqFKvdTojDgRIRgafFgsPhQK1Wo9frkRQFR34+2O3oHA68tVoeVhSe9/Ji9+7dTJ48udFXgKqsJbUT0PLqkpYUb2PE2mQ6KACTJk1i0qRJNb6WnJzs9nvVh9JUZTQa2bhx42U6sgunKArHjx9vsOeuXG4pKSn8c9IkQrKzGWY0Msxmo0yn419eXpiMRmaNH0/XpCTXnQjF4Wi8eFUqmDoVJk+ueIJ9YGDF3RSzGU6erLjLotdT5OvLieJi5JIS/NLTsaemMmvFCm554YULbtCu9PK9UFartcYJ4s2ViFdoKA1Rl+Tm5mKxWDAYDHhbrcSUlqICfGw2ys/OUbPJcsVwWW9vOHWqYhngGhZ/uBR1ilWrhZUrkQoLqTo4St69m+xRo1A7HBgkCY0s0zs/n+6hoRyIiOD48eMsXLiQvn37NokOQUtrJ6Dl1SUtKd6GjrVlnFXhgsiyzLczZjD/8GE6An7Z2WhlmWy9nuigIL4uLOTZLVtY+89/NolGAKgY9vXGG7BgARw4UDGcS6utGOqlUmEDyo4epVSlQq3Tka3XE2w20y81lX9OmsSixYubzFU3QRCEyykgIIDuisIje/dS7OFButFIjl7Pu5GRKJJEeXk5JSUlvPrqq3Tq1Al8fS975+SCVFndCwBFIW/6dBxWK6c8PAi12TDZ7fhZrTyYlsbMrl0JDAx0PSdFrAwlCFc20UERqjm6ciUP7NiBj6JQptGAouCQJPQOB48dOYIlLIyfmmIjUMvcFCUwEPPhwxjtdmK0Wk6rVDgkiUK9no52OyHZ2U3qqpsgCMLlFN+1K+OA3gUF2EtKSDcaeT8ignRPz4qr/FlZJCQkEDd48CXNzatXv/+OcccOTqtUSGo1Z9RqFIsFH5uN+MJCOhYVYVUUBqenY/311/8NARYE4YrURGui5uGKfHCZLOOzfDkmu51MgwEvhwMkiUKtllNGI552O/dnZ2OzWNwe2AZNJF7n3JT+/aFVK7BaKTEYOKZWo6jV6GWZNuXlaGQZiyRhcDgYpFaj/PEHe6o8SPJ8mkS8DaQ5PWSsLkS8QkOq77pEtXMniYqCGvC02fhbq+Ww0UhpaSnHjx/Hx8eHKVOmNMgFmouKVVHg7bfRms0okoTWbkcnyxRoNBRqNFjUam7JyOC29HSuM5uJ3rTpf/MQG1lLaieg5dUlLSneho5VdFDqiVqtJjY29sr78O7Zg/epU+RrNCiyjEOSUIBcnQ4kiQKdjvDSUroqitvDsppkvAEBoNcjl5ZSBqQbjTgkCZ0sE1FaSkxpKX42GyOyslhw+jShkydDSkqdNt0k460nkiRhMBiuuEmAkiTxxRdfXNT7Libei93fhUhLS0OSJHad7UwnJycjSRIFBQUXvc0rtXybi3qvS85+ufewWDAajaglCbXFQvrJkxQVFZGQkNBgE8svOla7HdLT0fr7E6DVYrRY8LTb8XQ4sKlUlKjVRJaVEV9QgE2nI2DvXg6uXs3mzZsbdQniltROQMurSyRJIjIykrfeequxD6WaZcuWuT1HcPr06W4PVL5QjVG2ooNST2RZ5vTp0012bfZa5eailyRUJhNWu50zej3HPTywn72yZpEkVHY78W3buj0Ys0nGe/b5LYaiIlSAmYpOCoqCp8OBh8NBuUrFSZ2OUpUKn7//rphoX4dOSpOMt54oioLVanU9sLEaWYZduyqWcN61q+L3epaZmcnkyZOJjo5Gr9cTFhbG4MGD3Z6ldLHOG+9Fys7OZvz48YSHh6PX6wkODmbgwIFs3br1ord57bXXkpGRgY+Pz0Vvo77iFeqm3uuS33+vqNMUBa1Wi65tWwYGBPDRtGl89NFHrF27tsHm3110rM6J8199RcZbbzGlXTtG+/szpV07nu7cmSkxMRx2OPABfBWF/LQ0dk+cyNiHH2b48OEMHTqUlDpefLqcWlI7AU2/Lqn8cOKafubMmXNB21MUhdTUVB588ME65Q8ODmbZsmXnzZeamsptt91GYGAgRqORqKgoRowYQV5e3gUdX2WzZs3im2++uej3N0bZig5KPVEUhYyMjCb7h1qrgAAkvZ7wwEA0Z9fHtygKiqJUPD3dbMahVnPnQw+5DetFUZUAACAASURBVAdokvGeXd1LFxhIpCShsViwVzo+iySRaTBgsduRvLzQtW8PhYWwcOF5v2Q3yXjrkc1mq/mFlBQYOhSGD4exYyv+HTq0zneiLkZaWho9evTghx9+4N///jd//vknGzZs4IYbbmDixImXZR+1xWu1Wi96m8OGDeOPP/7gvffe49ChQ6xbt46kpKRqQyUvhE6nIzg4+JKvatVavkK9q9e65OzdE8rLoUMHiIxEatsWg6LQe/duEq66qkHn3V1SrEFBEBtLr/vu41//+Q8+PXuy12rlt9xcpKIieksSepOpYqUhq5U+ZjM3+fnh7e3tWoK4oTspLa2dgIusS1JTYeTIin/rUUZGhuvntddew9vb2y1t2rRpF7xNX1/fy/p8kNOnTzNgwABCQ0PZtGkT+/bt45133iEwMJDy8vKL3q7JZMLf3/+Sjq2h2wnRQRHcnb3r4J2XR4fISEwmEw67HYvFgsNmI0Sjwat3b7qPHt3YR1o3Z588r+7RAx9JonVZGXpZplSt5qTRSK7DgYdKRURgYMWXvMBA2L+/YqK9cG4pKRV3nHbtqliaNCys4t/du+t8J+piTJgwAUmS2L59O8OGDaN9+/Z07tyZKVOm8Ntvv7nlzcnJ4a677sLDw4PY2FjWrVvn9vqWLVvo3bs3er2ekJAQpk+fjt1ud72elJT0/9k78/Coqrvxf+6dPdsEsgeyE0hAQ0AWERAoLtC+1ha0olShKL7FgkUQd6CIiBuUAgoYsFil0ldxa6so+hNIUXaTUCGyJwgBQkIySSaz3vv742aGTJIJCdmT+TzPffLMmXPPPd97Jmf9LsycOZPZs2cTGhrqDvJ67Ngxbr75ZvR6PX379mXbtm311rmkpITMzExefvllxowZQ1xcHEOGDOHpp5/ml7/8pTufIAisWbOG8ePHYzAYSExM5IMPPvBabk0Vr40bNxIcHMwXX3xBamoqAQEBjBs3joKCAo/71q9fT2pqKnq9ntTUVN58881669+R2blzJ3fccQfR0dF1quGVl5czc+ZMevbsicFgoG/fvg3a5ewQuE5PQkJApVK8c2m1ymdXQMYOyMiRI/nwww/ZvHkzGW++ydpBg+jRvTunRZGKqt3wELudX50/j7+fH3FxcZSWlrJ8+fIuc5rRYZBlWLcOvvpK+duCi7nIyEj3ZTQaEQTBIy0gIIDrrruO1atXu+8ZN24cer0ei8UCwPHjxxEEgZ9++gmAxMREd38hyzLPPvssMTEx6HQ6evbs6V703HjjjVy4cIEZM2a41aXqYufOndhsNtatW0f//v1JSEhg7NixrFy5kh49egCwdetWBEFg69atXHfddej1eoYPH05ubq5X2WuqeE2aNIlJkybx4osvEhERQVhYGLNnz1Y2oquorKxk9uzZREdHExgYyNixY5t04t9YfAsUH56IorKTUVFB0IkTXBcTQ9+UFPrGxZHerRvhycmELlnSfj291MXIkYTu2MHlN97giz59uCyKHFGrKZFlgv38SNVoCLpwAcrLlfgpVivs2dOqKkvtCovF++U6QZAkxaXz5csQGwsGgxLUzWBQFiolJfDaa57vzluZjaC4uJitW7fyhz/8AX9//1rfBwcHe3xetGgRv/nNb8jJyeHnP/85kydPdh+Tnz17lp///OcMHjyY7Oxs1qxZw4YNG3jhhRc8ynj77bfRarXs2rWLtWvXIkkSEyZMQKvVsmfPHtauXcuTTz5Zb70DAgIICAjg448/xmq11pt3/vz5TJw4kezsbCZPnsykSZM4cuRIQ14PAGazmddee4133nmHnTt3kp+f77EzuGnTJhYsWMCSJUs4cuQIS5Ys4YUXXuDtt99u8DM6EhUVFfTv35/XX3+9zu/nzJnD1q1beffddzly5AizZ89m5syZtRazHQ7X6YnJBGo1mM1XLrVaSc/IaDfG5I1FFEXS09MZazQSevgwZn9/zJWVXDAYcKpUyILA8EuX6GMyIQiChwtiHy1IQ8aP6nl37YIdO5TNrR07lM8WizIOX63cFmDUqFHuuHsOh4Ndu3YRGBjo3vzasWMHSUlJ9OzZs9a9mzZtco8jx44dY8uWLYrbbuCzzz4jLCyMl19+mYKCAvLy8up8fmRkJGazmX/9619XPXl74oknWLlyJXv37iUwMJA777zTY4FxNT7//HMuXLjAzp07ycjIYO3atfz97393f//www/z/fff88EHH5CVlcW4ceO47bbbrhqHsLnwuRluIQRBICQkpGMai506BcnJYDYjmM0E2mzKrtvQoTBnjuLOtwbtXl5RZOC0aaSnp2ObMIEUvR6xKuikcOqUsjg5cULpJIuKYOlSZcKt00FKihIIsprc7V7epjB+fK0kgyQpi9KhQ+Gll5QTptxcZSFiMtUuw+mEnTuVfC53n5MmKSp0NfnmmwZX7fjx48iyTEpKSoPyT506lXvvvReAF1980d2Zjxs3jjfeeIOYmBhWr16NIAikpKRw7tw5nnzySZ566il3GcnJybzyyivuz19++SW5ubl88cUXREdHu8seX8d7c6FWq9m4cSPTp09n7dq1DBw4kFGjRjFp0iQPWy6Au+++m4ceegiAxYsXs23bNlatWsUbb7zRIJntdjtr164lKSkJUALgPv/88+7vFy5cyLJly5gwYQIA8fHxHDp0iDfffJOpHeVktBGMHz++3rb59ttvmTJlCqNHjwaUQXndunXs3bvX43SrpWixvqTKsJyAADh6VNk8CAq6Eh2+BQMyeqPZZa22CHMEBaF1OtGoVFzSaom0WDA4nTx86hTrEhO568wZVmk0TVKpbCydepzwgmHCBO8bmK7xw8Wdd8KhQ1BcfCW48m9+A717K+PGihVX8tY1fjRi7Ggoo0eP5g9/+IPbviQkJIRx48axfft2Ro8ezfbt2xk1apQ7f/W2zc/Pp0ePHowdOxaVSkVsbCxDhw4FoHv37oiiSFBQkIfxel3Pnzt3LhMmTCA4OJihQ4cyduxY7r//fsLCwjzyLl68mJ/97GeAspEWGxvLv//97wb3WxEREaxYsQJBEOjTpw+33XYbX3/9Nffffz/Hjh1j8+bNFBQUEBoaiizLPP3003z11Vf87W9/Y8GCBQ1+p9dKB9oG71iIokh8fHzHi6tRWAjbtimqAB98AJs3KwPA5s2wZUudixPoOPKK6eno09MxWq0E+vsjqFSQlKQM1jYb5OeD3a7oO9ejstRR5G0OBBR5PYbYoiJlh8ub/KKonJ4082Sgsbrc1Sf//v7+BAUFcfHiRQCOHDnCsGHDPAaY4cOHU15eTmFhoTv9hhtu8CjzyJEjxMTEuBcnAMOGDbtqXSZOnMi5c+f49NNP3QPewIED2bhxo0e+mmUNGzasUScofn5+7sUJQFRUlFvmiooKTpw4wYMPPug+1QkMDOSll17ixIkTDX5GZ+Kmm27i008/5ezZs8iyzDfffMPRo0e57bbbvN5jtVoxmUweF4DT6XRfLlUiSZLqTHd9lmWZmJgYd9nV87q+95busg2sM10UcW7YgHPhQuTkZBgwAPmTT3B+9NGVa8MG0Ghq1dG1C+ut7leT6Wqyuv63Gi1TzTo6HMg//YQcGIjWYiFIlvFzONBIEmaVCkkQSCor4978fG64fJnfVlTQLTi4WWWqr51kWSYuLg5BEBouE3hNb612ashvz1XP6heAUDUmyNUu9+ea+U0m5JISZI0GWRCUvyUlUFZWK69HOTXKq6suDUmv6/ubb76ZwsJC/vvf/7oXJa5TFVmW2bFjh8cCxYUsy9xzzz0UFxeTmJjIww8/zCeffILD4fAYtxpSx1dffZWCggJWr15N7969WbVqFampqW4VLtd9N954o/ueiIgIEhMTOXz4sNeyq38GuP766z3SXGOFLMtkZ2fjdDqJr1L1DwwMJCQkhD179nDixAmvdff227sWfCcoLYQkSeTn5xMbG9uxJrEffKDsqKWlQdWPtyF0GHmrDOeZNQvy8hSbE71e+XvunLIjp1YrixV/f+Xy81PyLl+uBIIUxY4j77Xw+eceH13eO7RarbKgA7cLZ5KSlHdUk4oK5WSlmitqNm9uctWSk5MRBKFeXdvqaGrsDAuC0CAddKvV6u6A61Ilu1b0ej233nort956K/Pnz+ehhx5i4cKFzXpyUZfMLlnKy8sByMjIcO/sybKM3W73qhPd2Vm1ahUPP/wwPXv2RK1WI4oiGRkZ3HzzzV7vWbp0KYsWLaqVnpOTQ0BAAKBEb4+Pjyc/P99j1z4qKoro6GhOnjzpXtgAxMTEEB4eTm5urlvfHaBXr14YjUZycnI8frt9+/ZFq9W6XU67SE9Px2azcfjwYQAidu/GKMsEjhuHKTKS48ePu/PqnU76RUZSXFzsoXISFBREcnIy58+f97BfaqxMcXFxhIaG1pIpKSmJ4ODga5YJlE2TAQMGULZyJfmHDiFJEi+//DJ5eXnExcXhdDq5/exZRFnm5tJSSmSZm5xONAUFVC+9uWTy1k5Go5G4uLhaqmX1yWQymTzbSa+nX79+rd5O3mRKSkpClmUqKys90g0GA7aPPvKYkAqCgJ+fn2LLarcrKoaAKAgYUlPh7FmkmBjlZE+WEc6cQejfH/vixdir8gKo334bnU6HzWq9YidoNiue6bRaxU622nO1Wi0ajQaLxeJRR51Oh1qtdjs8MVc9w2AwIAgCAQEB9OnThy+//JJvvvmGe+65h1GjRjFt2jQOHjzImTNn3H2na7Fms9kwm81ER0dz7NgxPvvsM7Zt28b06dPp06cPW7dudY8jrrygnKzrdDpsNpuH7aNGoyEsLIxf/epX3HHHHTz33HMMHTqUZcuWkZGR4VF3s9nslsnVl5vNZg+HLmazGYfDgSRJmM1m/Pz8kGUZQRDcdXF5MnM6nZjNZoqLi9FqtezevRu9Xo/dbncbyQcEBGC1Wj3SrVYrdrudgoICkpKSPH57rnGnsfgWKC2ELMsUFRV57Iy1WyRJUcU5cwY2bVIm6FVqMQ2lQ8k7ciSsWqXYUOTmKhHnJUlZqBgMyglKXp6ymDEalY6zuvF8enrHkrex1JyoyjIOSUKr119RD6lypkB2tqJCUl2FQZaVk5P0dCWft3Kvge7du3P77bfz+uuv8+ijj9ZaPJSUlNSyQ/FGamoqW7ZscXfUgFvfuL4j+NTUVM6cOUNBQQFRUVEAtYzzG0rfvn1rGW3v3r3bw23l7t27GTBgwDWVX5OIiAj3BGXy5MmA8r/rGrS6IqtWrWL37t18+umnxMXFsXPnTv7whz8QHR3NLbfcUuc9Tz/9NHPmzHF/NplMxMTEkJaW5g7M5/pNxcbGevQTrvTExERAmeQcOnSIbt26AdRSX3RtgNRUBXSlp9eImC6KInq9XkmXJMT8fGUTYcQIgoKCauUH5f/K9fzqREZGEhERUavuV5OpZrpLJpesrkXcNclUg8CkJFITEgCYHhLCH//4R74tLCQsLIy3kpKYc/QoGoeDAp2O6/390X3yCaFr1rj7rKbKVLPu1WVyySsIQqNkaut2qk8mUCbZgiBgMBhqbWw4NRoMQUGeam2CgEqW8ehh9u2D776DsDBErfZKelgYfPcdmtxcNIMHewoqCGh1OrTURqfT1ZGK140XbdUza/Z7fn5+jB49mv/85z989913rFmzhqioKOLi4li5ciUJCQn07t0buBK4UKPRuMsRBIGJEycyceJEZsyYwYABAzh9+jT9+vVDq9WiUqlqPVOr1brrU5dMfn5+JCYmur14ufLm5OS41bkuXrzIqVOnSEtLw8/Pz6M8Pz8/9+ZL9Xqq1epadXEtKG+88UasVitms5nrrrsOSZKorKx0L+RcaDQaNBoNoiii0WjcY2L1356pLjXwBuBboHR1MjOvTNSLixVbjLCw2sZsnY2RI5XTkJwcZTJ9/LiiGxsTAwUFyglAYOCV/Hq9spBpRf3ldo23kyiLRVETNBoVe6UWOF16/fXXGT58OEOGDOH5558nLS0Nh8PBtm3bWLNmTYPVoR555BFWrFjBrFmzmDlzJj/++CMLFy7kscceq/dU7JZbbqF3795MmTKFV199FZPJxLPPPlvvs4qKirj77ruZNm0aaWlpBAYGsn//fl555RXuvPNOj7zvv/8+gwYNYsSIEWzatIm9e/eyYcOGBsnUEBYtWsSjjz6K0Whk3LhxWCwWvv32WyoqKpg7d26zPacjUFlZyTPPPMNHH33EL37xC0CZjGVlZfHaa695XaDodLo6J0QqlapWUD5vvyVv+bwF9WtMuiRJHDp0CMu+ffQ7e5aAyEi4/noEQagzv7c6Nja9oXV0TXCaQ9bqMo0ePZrVq1ezbNkycnNzSSkrI81kwhIQQHJ8PHqLBTkzk+P/+Ac/RUYSEhLinnw3VaaG1rEp+Vu7nbylC9UWd9Unq241rxrp1e+pygjr14PJhBAU5D5VAdwOHIT162HwYM/Nr5rlNEN6Xd+PGTOGyZMn07NnTxKqFr+jR49m/fr13H///XXKJggC69evR61WM3jwYAwGA++99x4BAQHExsYCir3fjh07mDBhAjqdzh3sunp5W7Zs4dNPP+Wee+4hOTkZp9PJRx99xNdff83mKi0EV/6FCxdiNBoJCQnhiSeeIDY2ll/84hce79/b3/rejyAIpKWlMXHiRO677z6WLVvG9ddfT35+PpmZmdx4443ceuuttcoVBMH9m6v+27vWQKW+BUpXxuUmtqREsbkQBGVhYrXCo48qpwytFMCrTRDFKwbcLpUliwV69lROVKp37hYLslpN3v79FB88iL5HD6Rqev5dkrpOorRa5Z16cabQHCQmJnLw4EGWLFnC3LlzKSgoICwsjBtuuIE1a9Y0uJwePXrw2WefMW/ePPr370/37t158MEHee655+qNdyKKIh999BEPPvggQ4YMIT4+npUrVzJu3Div9wQEBDB06FD+/Oc/c+LECex2OzExMUyfPp1nnnnGI++iRYvYvHkzjzzyCFFRUbz33ntuTzDNwUMPPYSfnx+vvvoq8+bNw9/fn759+3qcCHQVXOoJNSdyKpWqw7qjzczMdE/QJxYWIlRWcqyigrjvvmu1gIxtyciRIxk+fDg52dmEPfccod9/jzYpCeH4cexlZZQ5HGT/4Q88GRyMTq8nJSWFuXPndol3025wOXAICqrbyUobOHCozqhRo3A6nW7HGaAsUNatW+eRVhOj0cirr75Kbm4usiyTlpbGv//9bwKrNjuXLFnCjBkzSEhIQBAED3U6F2lpaXz++efMnj2bn376Cb1eT+/evXn77be5++67PfIuXbqUGTNmcPLkSW644QY++eQT1Ormm9Zv2rSJRYsW8cc//pFz584RGhrKTTfdxF133dVsz6gPQe5KEYQaiclkwmg0Ulpa6j62byiSJHH+/HkiIyPbp42CJCkB9bKyID7+yi6Fa1DOz1cmmlu2NGgXvN3LezVc7yM7G+LiPHdtLlzAcfo0JkmiRJLQyDJ2QeB8t274Pfcc6bNmtV29rxGLxcKpU6dISEi4qu2BS69Vo9HUvRvlUhEsKlIWemlpHcsNdQ2uKm8LIggCH330Eb/61a9a7ZlXk7e+30pT+sjWory83K3PP2DAAJYvX86YMWPo3r07sbGxjB49mkuXLrF69Wri4uLYsWMHM2bMYPny5cyYMaNBz2gvY0VmZiazZs2ipKSE8LAwXsjLo7vFwmv+/uRGRLBq1ao2nYi36jixbx888IBiQxgUROXRo9jPn0eSZUq1WpakppKl0VBYWIjRaGyRd9Phx0UveOsTGtV3XrxYt1dHF8HBysl8O6atxoqtW7cyfvx4KisrW812sC3GCd8JSgshiqKHl592R04O8pEjmAMCsJWUoNZoCAgIcHvgqGlzcTXavbxXw5vKUlkZzmPHEBwOdIDFz49StRqNw0FMURHmJ54gWxDoP3NmW0vQYgiCUKd+rJvqJ1GdgKvK28no7PLu37+fMWPGuD+7ToqmTJnCxo0b2bx5M08//bQ7Rk5cXBxLlizh97//favUr7n6TkmSWLZsGSUlJcTHx6OVZc74+6OXZS736kXpTz+xfPlyhg8f3maT5VYbJ6rHgAkKQjabOVNRQagsoxUEQh0O7rhwgWO9e+MXF0deXl6LvJsOPy42kkb1JeHhytWB6ex9Z3XaQlbfAqWFcDqdnDx5ksTExGvWv2tJDm3fTvhPP5EnSegkCZUgIAcEEBMbS7DR2Gibi/Yub4OoQ2VJVqspFwT0gCSKhDkcFGg02DUaLooi4ZWVXH7xRaTf/x6xGY9W2xOyLGO1WtHpdF3Cn79P3s7F6NGj63VPHRkZyV//+tdWrJEnzdV35uTkkJubS3h4OIIgYBcE3o2PVybrgmegwroMsFuDVhsnaqgQWS0WVJWVVGo0GBwOBFmmX2kpzx0+zP/FxmJuoXfTKcbFRtDZ+5KadCV520LWzjmjaidcq+eCliYzM5PVa9bwos2Gn1ZLuCShdzg4bzJx7OhRknv3JlitVuwJqruJvQrtVd5GUcN4Pm//fqT583EaDITb7egliZ5mM+f0eixAqVZLz8JCzv7pT8TcdVeHV2/yxrX6Me+otJW8baVx29Xat73RHH1nUVGR2/WnB1WTCb1ez6VLl1o1UGFdtMo4odHAxo1uFaKD337Ls88+S1RUFKOKihhZWEiozcYNly9jVqs5kpTEJZutRd5NpxgXG0FX60vaQt5x48a1yVjR2rL6FihdDJcaQLbFwjmjkZSyMvROJ7IgYDEYcNhsnMnPxxgYiFDTTWxXoZrKUvHBg4TJMqUaDTaNhujKSjSyTExlJcUqFd2cTvwdDqQ33lBiyNQRdd6HDx8+WpqQkBB0Oh0Wi4VQnY5gu52Caq7BLRYLWq3W7Tmo01NNhcivooKCgAAqBIELsbGklJWRaDZjFUXSSkpIKCriYld6Nz58dAA631avj3pxqQGERUTwfkwMoiyjlSQsoogkCASKIt1KS7FotS3mJrYj4R8bi10Q0Dgc2ESRMwYDFlFEI0lE22z4ORw4AWdEhNeo8z58+PDR0qSlpZGSkkJhYSE/P3eO1QcPMufHHwHlZK6wsJDU1NRaMS26AtXfjVOWsYsiDkEg32BAJ0mMO3OG1JSULvlumoLPx5IPFy3xW+jas88WRBAE4uLi2p1eYnU1gHw/Py7pdFSqVDhEkXCrlUBZ5getlsMzZjTqFKC9yttUkidO5GJICEarFSQJpyhyVq9HqpJTAqxaLYaICCUYWlycolawfPkVj2idgK5iCOjCJ6+P1qK5+k5RFJk7dy7GoCB+duYMgQ4H0ZWVVJSXk5eXh9FoZM6cOW3qTaqtxgn3uzEaMR47RpLJxE96PVbgoixzo93Ogp//vNnfTWcdFzVVrn/N1eOXVNHV+pKuJG99srpc8zenrZVPxauFEEWR0NDQtq5GLaqrAYwoLcWsVvNVeDhbo6IwOhycdzg4aLfzXj2+vuuivcrbVES1GsOzz2KeN4/QigpKdTrUgoBGkkCWkUQRVc+eCOfOQVSUcuLUSA9o7R1BENwDUlfAJ6+P1qQ5+86RI0fy9vTpJM6ejQMIqagg9uJFegwcyJw5c9o81kdbjhMjR45k1cqVmB94AK3DwXlZRhRFhMBAekgSCTt2wPTptQIDNoXOOi6qVCqCg4O5ePEioEQqr74I89mhdF7qklWSJAoLC90R65sL3wKlhXA6nUok25SUduW9w3XUfeT77xlWUQHAjogITgQGIssyeXl5pKenN/qou73K2xz0nzmTbODykiWEFxXh73QiyjIVajWq+HgCLRYoL1euxETFA1phIezZ0ylig8iyjMViQa/Xd7qdwLrwyeujNWnWvlOW6f/FF8hqNQ4/PyI0GtYOGkT3//s/xHbQL7f1ODHSYEDW6zEnJ+On1Sru9S0WhNOn4d//hl27YMSIZnteW8vbkkRGRgK4Fymg9CUOhwO1Wt0l+pKuJO/VZBVFkdjY2GZ9D74FSgtSV5TQtsZ11P3i//4vBUVFBOp05Pj7U1lR4Q5Yda1qAO1R3uai/8yZSL//Pce2bKF4926C//EP1MHB+IeHQ0UFnDoFlZXw448QGKi4aF66VNmN0+k6vPF8R42qfa345PXRmjRb37l/P+zbh6DRoOneHY3RiOHwYTh4EAYPbp5nNJE2GyeqYqMIZWX49+yJvytdq1W8flVUwOzZSK+/Tsmf/sTxX/4S7bBhpKWlNUn1q7OOi4IgEBUVRXh4OHa7HbiyIEtKSup0C7K66EryXk1WrVbb7CqSvgVKV6Iq4vdIm40ljz/O4o8/5vzhw1w4exatVkt6enq7UANor4hqNX3uuQfuvhvp5EklUnFYGAQEQJ8+cPIklJUppyYajeJBRq8Hi+WK8fyqVR12keLj6owePZr09HRWrFjR1lXx0dVwBSesqACVSrGJCwxU+qOMDBg0qFnVlzocNWKjeGA0gtWK/ehRDv/iF/QsKeHEf/7DouhoUlJTmTt3rm9c9IJKpXJPWF3qP3q9vtNP2KFrydsWsvoWKF2FzMwrAQitVgbqdHyYksLxZ54hPy6OkJCQJu8UdRlEEfmxx3A+/LASdd61EImOVuxOZFlZoJSUKGn+/sh+ftiOHqX06ac5t3Ilaenpvnd9jUydOpWSkhI+/vjjOr+Pj48nLy+vVvrSpUt56qmnWrp6jWL79u2MGTOGy5cvExwc3NbV8dGR2b8fdu5UFiGCoCxQBEFRMc3MVL5vJ6cobUKN2Cg1Of7GGzjXrCG5vJxStZqbnE6GqlTszM5m1qxZrFq1yrdI8eGjFfHNkFoIURTp1atX+5iEZmYqu/dZWcrukdEIAQEI2dkkr1zJ2KrTk6bUtV3J2wqIo0Yh/eUvihG8yaTszBUVKQuVqChlMCwtBUmipLSU//7wAz8WF1O2Zw9/mjCBCRMmkNmBXBHrdLp6vz9wLZ6QWgAAIABJREFU4ACTJ0/mwIEDrVSj+nn++ecpKCjwuGbNmtXg+68mb2ejq8nbnmiWvtN1elJWBjEx0L07OJ1gNoNarfRRGRlKvjakzceJ8HBITq51SUlJPH7iBJWyjAowyDIGSeKukhLiYmMpLS1l+fLljVaFbHN5WxmfvJ2XtpC187/VNkIQBIxGY9sbTkmScnJSUgLx8Yqhdl6ecsXENJtL3HYjbyshCAIB48cjfPghbN6sDP5PPw2hodCrFyQkQGIiJeXlHDt6lPKyMhwaDQZRZCjgv3s3qx96iMwdO9palKsiCEK9RoCyLLNu3Tq++uor1q1b1y584wcGBhIZGelx+fv7e80/bdo00tLSsFqtCIKAJEkMHDiQBx54wOs9FRUVPPDAAwQEBBAVFcWyZctq5XnnnXcYNGiQuz733Xef26j09OnTjBkzBoBu3bohCAJTp04FYOvWrYwYMYLg4GBCQkL4n//5H06cONGEN+Kdq7Wvj5alWfrO6upLkqTYVZhMV66gIDh7VsnXhrTXcSInJwd1djbBgkClSoUKsANpJSWklJcTFhbGkSNHyMnJaVS57VXelsInb+elLWT1LVBaCKfTyffff9/27udychS1rvBw5bi/sFBJDwhQ9JSru8RtAu1G3lbCLa8sK6coY8fC0KGKQbzFAkYjsl7PmTNncDgchKvVRNpsBDscTD1/nldLS3nx5Em0kyYhtfNFiizLmM1mrwuP/fv3k5mZidFoJDMzk/3797dyDZvOypUrqaio4KmnnkKWZZ544glKSkpYvXq113vmzZvHjh07+OSTT/jyyy/Zvn07Bw8e9Mhjt9tZvHgx2dnZfPzxx5w+fdq9CImJiWHLli0A/PjjjxQUFPCXv/wFUBY/c+bMYf/+/Xz99deIosivf/3rFjFmv1r7+mhZmqXvdKkvffqp92vjRiVfG9Jex4miS5eYWFyMDjhjMHBBp+OiXo9OkvhFQQF6nQ6bzUZRUVGjym2v8rYUPnk7L20ha7taoLz++uvEx8ej1+sZOnQoe/fu9Zo3IyODkSNH0q1bN7p168Ytt9xSK78syyxYsICoqCgMBgO33HILx44da2kx3LQLzzhFRWC1KqpHDgdcvqykh4Upf/V6sNmUfE2kXcjbitSSNy1N8dZVWAiyTHl5OeaKCgLVaqIqK4m02VDLMiUaDRd1Oiq1WnpcuoT14YfbfeR5b5NXWZbJyMigsrKS6OhoKisrycjIaPPJ7pNPPklAQIDHVZ9KXUBAAO+++y6vv/46CxYs4PXXX+dvf/sbQUFBdeYvLy9nw4YNvPbaa4wdO5brr7+et99+G0eNHepp06Yxfvx4EhMTufHGG1m5ciWff/455eXlqFQqunfvDkB4eDiRkZEYjUYAJk6cyIQJE+jVqxfp6em89dZbHDp0iMOHDzfTG/Kkrdurq9MsfWd4OOzdC8XFyml5TVUmV5/fxrTHcaLnhQsMsdm4rFLhUKko02hAECjVaEgrKSGhqAitVktISEijy26P8rYkPnk7L60ta7tZoPzjH/9gzpw5LFy4kIMHD9K/f39uv/12Dx/b1dm+fTv33nsv33zzDd999x0xMTHcdtttnD171p3nlVdeYeXKlaxdu5Y9e/bg7+/P7bff3mnd/tVJSMiVXf1LlxQdZD8/xYASlHStVsnno2mIouJK2GiEvDyksjKQJFSyjKZqAugQBIKqJrE2jYYzKlWHjjzvOj0JCQlBEARCQkLaxSnKvHnzyMrK8rgGDRoEQL9+/dyLlvHjx7vvGTZsGI8//jgvvPACjz76KCPqiYdw4sQJbDYbQ4cOdad1796dPn36eOQ7cOAAd9xxB7GxsQQGBjJq1CgA8vPz663/sWPHuPfee0lMTCQoKIj4+PgG3eejC3PxIqxfD8880+aqXB0KWab39u0EiyJWhwOdw4HO6UTndCLLMuFWK/edPs0vIiKIffpp9q5ZQ1ZWVpeamPrw0Ra0mwXK8uXLmT59Or/73e/o27cva9euxc/Pj7feeqvO/Js2beKRRx4hPT2dlJQU1q9fjyRJfP3114CyI7hixQqee+457rzzTtLS0vjb3/7GuXPnvHr/6ZS4dvUvXryi3uXaSZNlJS01Vcnno+mMHKm4Eu7fH53FQrQkYXQ4sAsCRRoNTlEkyOEg2mJBcDoRRREpNLRZ1Oxam+qnJ4GBgYBi+9EeTlFCQ0Pp1auXx2UwGAD47LPP3IuW9evXu++RJIldu3ahUqmaxd6joqKC22+/naCgIDZt2sS+ffv46KOPALDZbPXee8cdd1BcXExGRgZ79uxhz549DbrPRxfGdbqWlARVv3UfDcDhQDh7FkN4OMGCgNZiwWC34+9wEGq1IssyN1gsjDt8GHnbNk488QST7rmnwzk68eGjo9EuFig2m40DBw5wyy23uNNEUeSWW27hu+++a1AZZrMZu93uVpk4deoU58+f9yjTaDQydOhQr2VarVZMJpPHBYrunety7ZpIklRnuuuzLMseu6nV87q+95Yuy3KD0wGv6ZIk4ZRlnLNnI4sicnk5CAJyYCByeTny6dPIQUFIs2eDKF5VpvrSZVkmNTUVURRbXqYGpDe0na6W7q2dBEEgNTW1Vj1lWUYeMQLn+++jev993hw0iFUBAZRqNJz18+OcXo8EGBwOepjNBBkMGIKDkU0mnF98gfPAAZxVQa9aWibX+7/aBYrv85r31Dw9ATxOUfbt21erHG/lNza9ru9caVeTLTY2lqSkJJKSkoiOjnanv/LKK+Tm5rJ9+3a++uor/vrXv3qtS2JiIhqNhj179rjTiouLOXr0qDv/kSNHKCoqYunSpYwYMYI+ffq4T4Rd92iqbAKq/z9cunSJH3/8kWeffZaxY8eSkpJCcXFxo9qsMe+3ZvvWl9/bb8/HtSOKIn379m26d5wfflD+9u3b9Eq1EM0ma3NSZb/j99VXXHrrLZaNGsXvo6L4XUgID/TsSWZoKBfVaoYWFVFRzf1wdpX74foWKe1S3hbEJ2/npS1kbRdxUC5duoTT6SQiIsIjPSIigtzc3AaV8eSTTxIdHe1ekJw/f95dRs0yXd/VZOnSpSxatKhWek5ODgEBAQCEhIQQHx9Pfn6+h8FcVFQU0dHRnDx50r2wAYiNjSUsLIzc3FwP1bJevXphNBrJycnxGOT79u2LVqslKyvLow7p6enYbDYPHXRRFBkwYAAmk4njx4+70/V6Pf369aO4uFiJBxEYSM9hwwj57DPUej3OvDzsooglIYGLkyeji4sjHhosU1xcHKGhobVkSkxMxGAwtI5MVQQFBZGcnMz58+cpKChwpze2nbzJ5K2dUlNTUavVZGdne5dJFImbNo1/Ll6M2WRCZbdjEkUsGg09rFb0QLxWC//9L3JFBc5ly3CuWYOzVy8CFi7kfFJSi8mk0+mw2+1UVla65TIYDAiCgNls9pDJz88PoFZ6RkYGJpMJf39/ysvLgSseoUwmE2vWrKFv374IgoBKpUKv12O3291RhwHUajW6KgPU6vYbGo0GrVaL1Wr1MMrTarUAXL58md27d3vkj4iIICQkxL1YOHXqFHq9HkEQqKysxGAwuG1K/Pz8kGWZyspKALKzs1m4cCEffPABN954I0uXLmX27NkMGTKEpKQkDAYDDofDfYIhiiJTp05l3rx5BAUF0a1bN55//nnlRKzqfUZGRqLVavnzn//Mgw8+yI8//sjixYsBJbq02WwmPDwcQRD417/+xZgxY9DpdPj5+dG9e3fWrVtHdHQ0R48eZcGCBYCyiSLLstd2qi6Tqz38/PxwOp1YrVZ3uiiKtWQC6myn6m1Q87fn6hd9NA3X77pJuBYo/fo1vawWpFlkbW7CwyE8nMHJydwwaRI5OTkUFRXRrVs3/vzssyzZtg0doJVlqHI/nJecTF5+PsuXL2f48OFeJ27tUt4WxCdv56XVZZXbAWfPnpUB+dtvv/VInzdvnjxkyJCr3r906VK5W7ducnZ2tjtt165dMiCfO3fOI+/dd98t/+Y3v6mzHIvFIpeWlrqvM2fOyIBcXFwsOxwO2eFwyE6nU5ZlWXY6ne606umuz1arVd6/f79ss9k80l2XJEle0yVJanC6LMte02vW0XHypCzv2iU7v/xSduzfLztstkbJVF+6S96aeVtcJi/pzSFTfe1kt9vl/fv3y1ar9aoyffP11/J3kZHyGbVa/lank3cbDPIP3bvL5vBwWfb3lyWVSpaCg2VpxAhZGjRIluLiZLl/f9m5fXuLyVRZWSn/8MMPstlsdte5vqu8vFx2Op3uz1arVR4/fryckpLi9Ro/frxstVrd97jatebV2PQpU6bIQK3rwQcflCVJkuPi4ur8/uGHH66zPLPZLPft21eePn26+5nl5eXyHXfcId90002y3W6vsy4mk0n+7W9/K/v5+ckRERHyyy+/LI8aNUp+9NFH3fk3bdokx8fHyzqdTh42bJj86aefyoB88OBBdzmLFi2SIyMjZUEQ5ClTpsiSJMlffvmlnJqaKut0OjktLU3+5ptvZED+8MMPG9RejXm/TqfTo31r5jebzfIPP/wgV1ZW1vrtXb58WQbk0tLSOvvUrkJpaek1vweHw+HuO68Zq1WWb7lFlkePluUaY157ollkbUW+//57eWJsrHxGq5XLVCrZpFbL53U6+bTBIP/vwIHy4MGD5T59+sjff/99nfd3NHmbik/ezktTZL3W/rFdnKCEhoaiUqm4cOGCR/qFCxeIjIys997XXnuNl156ia+++oq0anYUrvsuXLhAVFSUR5np6el1lqXT6eoMWKZSqVCpVB5p3nZLvOWrme4t/7Wku3aoa1KrjgkJkJDgVa+voTK1RnqDZbrG9KbW0bWjXNdvo2b+0T/7GdLmzVgffpiQ0lKk0FD8unVD+O9/wWJB0OkgLk4xlg8JURwY5OUhrlih2LTUkKG5ZBIEwX3Vh1yl3lM9r1arZePGjZR6icoMEBwcXGvHxduzGpO+ceNGNm7c6PW5p0+f9vpdXRgMBn5w7T5X45NPPvF4fs26BAYG8s477/DOO++405544gmP/Pfddx/33Xefx32u9+liwYIF7hMSF7feemstj10172sMDXm/1dvXW3rN315XUG3oEBw9qhjGBwfDVcZMHw3H5X5YJQic1+mIsNnwczjQiiK/KCjgcFISl67B/bAPHz6uTrsYXbRaLTfccIPbwB1wG7wPGzbM632vvPIKixcvZuvWrW4PPS4SEhKIjIz0KNNkMrFnz556y+x0FBUpBvI+2hRx1CgM69djuPFG/B0OhJMnoaICAgOhd2/F/fOZM+Dy0tRM8WlakvDwcJKTk71eYe3ErakPH52eI0eUv/36KfGufDQL1d0Pl2m1FGm12EWRYq22ye6HffjwUT/t4gQFYM6cOUyZMoVBgwYxZMgQVqxYQUVFBb/73e8AeOCBB+jRowdLly4F4OWXX2bBggX8/e9/Jz4+3m1X4nIfKggCs2fP5oUXXiA5OZmEhATmz59PdHQ0v/rVr9pMzlZDkpTJbUYG7NsHjz0G997b1rXq2owcCcOHK+2ybRusWKF43FGplN1Pk0mJYWC3Q2ysEr9mzx5lkRkSonha8+1Y+/DhoyZ33QVDhkAXCBjXalS5Hy4WRfIdDnSiiFkUqdTpkAWBILude0+f5sHu3UmrZlfnw4eP5qHdLFDuueceCgsLWbBgAefPnyc9PZ2tW7e6jdzz8/M91AnWrFmDzWbjrrvu8ihn4cKF/OlPfwIUdYuKigoefvhhSkpKGDFiBFu3bnV7rGlJRFEkPT29bVQgMjNh2TLF7eRPPylpb74JPXsqk+QWoE3lbQOuWV5RVCLPA2zYoMSh8feH0FDFm8zp01BWBocOKYuWpUuRBQGrLGPq0YPSBx8kaerUVn/PLkP5roJP3s7Dzp07efXVVzlw4AAFBQV89NFHtTapjhw5wpNPPsmOHTtwOBz07duXLVu2EBsb2+L1a5a+UxAUNdF2TocaJ6q7H75wAafFgkqtRhQEJFmm1OlkkNNJUHk5wptvkqVWU1RcTEhICGlpaYii2LHkbQZ88nZe2kJWQW6KYnMnx2QyYTQaKS0t9RpR2huyLGOxWNxehFqNzEyYNQtKSkCtVoIzajQQEKAEEFy1qkUWKW0mbxvRZHklCSZMgOxsZWLhKsNshtxcZZEiCJQnJHC6pASpvJxuDgflajXvDB7M+BdfZGQT2tFisXDq1CkSEhKuumCXq9zMNsRepTPgk9eT+n4rTekjW4vPP/+cXbt2ccMNNzBhwoRaC5QTJ04wZMgQHnzwQe69916CgoL44YcfuPHGGwkPD2/QMzrkWNEGdDhZL16E0lL27dvHW2+9xcmTJ7Hb7Wg0GqZqtfzm9GkktZoLwOyQEA6IIjqdjpSUFObOncuIESM6lrxNpMO1bxPpSvI2RdZr7R87/7KvjZAkicOHD7dunABJUk5OSkqUSa/JpEx8o6OvGGG3UMTyNpG3DWmyvDWizlNRoahnSJKi4gU4tFqseXmUlZdj02op9PfHKMuMOnCAR2fObNUgYdVd13YFfPJ2HsaPH88LL7zAr3/96zq/f/bZZ/n5z3/OK6+8woABA0hKSuKXv/xlgxcnTaXJfcnu3fDCC7BjR/NWrAXocONEeDgkJzP4vvt4/csvefnDD3l240Ze3rKFSQMHAlBpNhNkNvNbs5mYnj0JCgpyx0jZsWNHx5K3iXS49m0iXUnetpDVt0DpTOTkKLvv4eHKYsRuV05RunVTFiodwPC6S1Et6jwmk6KOV1gIKhVycjLFgsAZUUSv16NSqRBEkVKdjlRZZvi5c2x7+mmkgwdbZMHpw0dXQJIk/v3vf9O7d29uv/12wsPDGTp0KB9//HFbV63h7NsHX3/t69dbGJeKy9ixY0l3OODgQX7SaJAEAZUgMLq0lL4VFfj7+xMXF0dpaSkrVqzoEpNXHz5agnZjg+KjGSgqUgyr9Xo4e1ZJCw29oj6k1ysqXz6XiO2H6obzRUVw/Di89BLlAQGcAlQ6Haqq9tM5nWicTsJsNp4rLcW+Zw+2CRPQp6crpzEtZF/kw0dn5eLFi5SXl/PSSy/xwgsv8PLLL7N161YmTJjAN998w6hRo+q8z2q1egS+dAVIdTqdbhfkgiC4A3dW16R2pbvyuf5KkoRKpfIITArKxFgQhDrTAeRDhxBkGSklBZxOd3rNibFKpUKW5TrTa9bRW3pDZbqarK57vclUs47tSiZAzMjAZjJx3uHArNfT02rF4HAw88QJZvbvD6JIaGgoR44c4dixYwwYMKDBsraHdqpex/p+ezXr6K1dO7JMV2unmvJ2Bpm8tVNDZK1Lppr1aii+BUoL0uqGUyEhoNMp9gsWi7IwCQ298r3FAlqtkq8F6AqGYtVpNnmrG85XtaFUUYEky2iqnqFzOokzm9FV/aNX6PVccjoJ0uvRZ2crdkctZF8E3uNodFZ88nYNXIPunXfeyWOPPQZAeno63377LWvXrvW6QFm6dCmLFi2qlZ6Tk0NAQAAAISEhxMfHk5+f7xEnIyoqiujoaE6ePOle2ABcvnyZ8PBwcnNzsVgs7vRevXphNBrJycnxmDj07dsXrSxTkZ2N4HRyUpZxZGWRnp6OzWbziKMjiiIDBgzAZDJx/Phxd7per6dfv34UFxeTl5fnTg8KCiI5OZnz589TUFDgTm+sTHFxcYSGhtaSqaysjG7dutUtk1ZLVlaWx3ttTzIlFRcTnJmJSaPBKUmUq9Wc02rpabXSq7yce48fJ9NoZPKFC/xFpcJkMiFJEocOHWq3Mnlrp3p/e3W00/XXX48gCB6ydnSZ6munsrIyALe8nUEmb+10+fJlD1kbI1N5eTnXgs9Ivh46ggGoB9UNr2NiFIPrwEDlO1lWbB3S02HLFp+72vZKVRta9+4l6/JlVBoNKpUKf7udhIoK1IANyPX3xyJJ9O3Xj8CqwI6NadvGGMn76Np0dCP56giC4GEkb7PZ8Pf3Z+HChTz33HPufE8++ST/+c9/2LVrV53l1HWCEhMTQ3Fxsfs9tMru6ObNMHs29OuH9OWXUFUGdK6d+XYjkywjzpiB8NlnlHfrxvHjx1Gp1agEgUCHgwirlWP+/pwMCGD4pUts8/en9//7f6QPGNB+ZaonvcO2k0+mdiWTyWSie/fujR4nfCcoLYQsy5hMJoKCglpvd9JleD1rlhL0LyxMMby2WBTbBqMR5sxpkcVJm8jbhrSYvFVtqJ05k/iSEgqqVPbUsowAOAGnKBJTWUlRUJB7t9bDvsh1GtNMyLKM0+lU7GC6SNu2lrynT58mISGB77//nvT0dLZv386YMWO4fPkywcHBLfpsF12tfauj1WoZPHgwP/74o0f60aNHiavHba9Op0On09VKV6lUqFQqjzRvJ62ufNX7kurp3vK7kWUlztXly1Baqnxfrf3qKkcQhDrTvdWxselXq/s1y1pPeqvKZLcr6tNBQfg7HIRqNFgsFjRVtihFWi2SKNK/tJQSYLjTSVDVznO7lakZ0+sbFzuqTFdLLy8vryVvR5bJWzsJgkBZWdk1yert+VfDt43eQkiSxPHjx1vfQK53b1i50tPw2mRSJq0tqALUZvK2ES0q78iRCKtXo7rhBoyCQHezGT+7HbsokqfXUyYIqIF4hwOhsFC5x6Xat20bZGU1u+F89d3itmbq1Kn1BluNj493u8ytfr300ksNfkZD5C0sLGTGjBnExsai0+mIjIzk9ttv97rr3hBuuukmCgoKMBqN11zGtdCe2re5KS8vJysry63mcOrUKbKyssjPzwdg3rx5/OMf/yAjI4Pjx4+zevVq/vnPf/LII4+0Sv2upS+RJIkf//53bAcO4BRF5PPnYf/+Fqxl89DhxwmNBjZuhE8/RfjnPylYt445vXoxtXt35vTqxdzrriNfrUa02SjWagnT6bCuXo3URQJodvj2bSRdSd62kNV3gtKZMJth2jTo0UPZWTt71heFvKMyciShO3aQv3EjH2/YQNmpU8wsLKRClqkMDiZJq0VTWam0sdWqOD+oqFCi02/YACkprWo4f+DcAZZ/t5w5w+ZwQ/QNrfLM+nj++eeZPn26R1qgS92xmZg4cSI2m423336bxMRELly4wNdff+2hS9xYtFotkZGRzVhLH/v372fMmDHuz3PmzAFgypQpbNy4kV//+tesXbuWpUuX8uijj9KnTx+2bNnCiBEj2qrK9ZKZmcmy117jvh07iC4rQwIcRUXYnn+eqE8/9ThF8dEChIcrFzA4OZl5MTEsW7aMH3JzSSkqIqW8HGtAANfpdGgrKwnaswd53z6yDAaKioo8Ajn68OHDO77/kM7E1q3KIsViUYzj09Nh7Fjlr68z7HiIIgOnTeNPmZlM+de/CBwyhD7du9Pvuusw9OmjLES1WigoUE5P/P0hKQmCghQ7pFmzlMCdLYwsy6w7sI6vTn7FugPraumptgWBgYFERkZ6XP7+/l7zT5s2jbS0NPdJgs1mY+DAgTzwwAN15i8pKSEzM5OXX36ZMWPGEBcXx5AhQ3j66af55S9/6c4nCAJr1qxh/PjxGAwGEhMT+eCDD7zWY/v27QiCQElJCQAbN24kODiYL774gtTUVAICAhg3bpyHUSLA+vXrSU1NRa/Xk5KSwhtvvNHgd9XZGT16tDsYZfVr48aN7jzTpk3j2LFjVFZWkpWVxZ133tl2Fa6HzMxMZs2ahbR3L4OtVs76+XHC359zkoRl2za+z8ho6yp2OUaOHMmHH37I5vfe4/X0dHqGhJDYvz96gwEEAdWlS+yeOJFJ99zDQw89xKRJk5gwYUKrxrHy4aMj4pu1tiCtYXwsSRJZWVl8vW0bxevXIwNMnNgmu2hdzdi6teQVRZH0gQMJf+kldOHhCK7Ajt26gc2mLEh1OiUYp9msLFSaEJjT4rDUumySTfnrtNXKu+vMLnbk7SBIH8SOvB3sOrMLi8OC1WG9arkWh4X2wMqVK6moqOCpp54ClBOYkpISVq9eXWf+gIAAAgIC+Pjjj6+qHjV//nwmTpxIdnY2kydPZtKkSRw5cqTBdTObzbz22mu888477Ny5k/z8fB5//HH395s2bWLBggUsWbKEI0eO8OKLLzJ//nzefvvtBj/Dt5vbtjSkL5EkiWXLllFy+TLTBQGDLFOpViOo1TgMBjQOB4Uvvtju1Yk64zghiiLpDgc9Tp5EFxWFIIoQH49Vr8ficDDg/Hl+6XQyNjiYFYWFOPfuZdasWZ1ykdIZ27c+upK8rS2rT8WrhVCpVPTr169Fn5GZmcny115Dzs5mgMlEuNnM8eBgbP7+tLZyQmvI255oE3ldgR2XLVMCcpaVKQuVwEBISFAWJMXFikpfjx4QFob8ww/kvfoqxaKIf2wsyRMnIqrr/7cfv2m81++G9hjKS7dcseW48707OXTxEMWVxejVeiwOC795/zf0DulNemQ6K8atcOed9MEkSq2ltcr8Zso31/Ay6ufJJ5/08MoE8PnnnzPSi8pbQEAA7777LqNGjSIwMJDVq1fzzTffePU4olar2bhxI9OnT2ft2rUMHDiQUaNGMWnSJNLS0jzy3n333Tz00EMALF68mG3btrFq1aoGn3LY7XbWrl1LUlISADNnzuT55593f79w4UKWLVvGhAkTAEhISODw4cOsW7eOKVOmXLV8QRAwGAwNqouP5qehfUlOTg65ubmM8vcn7fRpSjWaKxtRoohJpyOpoIBjmzfTZ/LkFq71tdFpxwmXwwKTSTnBNpuRgXybjWBBIFiWeezMGX4wGrmhrAy7TsejJSUsX76c4cOHd5oNgk7bvl7oSvK2hayd47+iHSJJEpcuXWoxg6LMzEze+t3v+P22bay4cIG5JhO9bDb8i4vZ8Pvft/rOTEvL295oM3lHjoQPP7ziXjQsDK6/XvHQ5lp4FBXBjz9Scf481pOObA4AAAAgAElEQVQn0T33HGHPPIPm/vvZGxNDtpdTAa/IIEsy1KG5ZbKaKLGUoFFpEAQBjUpDiaWEMltZ02VtAvPmzXMbRruuQYMGAdCvXz/3Ccj48VcWY8OGDePxxx9n8eLFzJ49m+HDh9f7jIkTJ3Lu3Dk+/fRTxo0bx/bt2xk4cKCH6pCr3JqfG3OC4ufn516cgOIj/+LFiwBUVFRw4sQJHnzwQbdMAQEBvPDCC5w4caJB5cuyjN1ubxeqeV2RhvYlRUVFWC0WJl6+jJ/TiVMQ0Dmd7ksWRfydTgL+/ndlwtwO6bTjhMOhOKQJClIWKSYT1osXUVVUYNZosIoigU4nNxUVUalSkVZSws1+fhw5coScnJy2rn2z0Wnb1wtdSd62kNV3gtJCyLJMXl4e3bp1a/ayJUni82eeYV5+Pt1EkQqVChmQRJFQUWRefj7vPvMMw3fsaLWdmZaUtz3SpvJWD+y4YYOi4uXvD9HRymlKfj4Okwl9ZSWgBHUs02rROBz0KCzEPG8euXo9Oi8T8M8nf+7xWZZlzGYzfn5+qESVR3pqWCrnys8RZ4xDEATlvZTm0T+iPy+N9fSatfmuzc34EuonNDSUXr161fndZ599ht1uB/A4OZAkiV27dqFSqTh27FiDnqPX67n11lu59dZbmT9/Pg899BALFy5k6tSpTZbBhUaj8fjses9wJQBWRkYGQ4cO9cjXGNeONpsN9VVO1ny0DA3tS0JCQvDX6QgpKcGsUuHvcHh8L8kyFSoVoaWlyoS5xu+mPdBpxwmXd6/SKyfEB7/9lmeffZagoCBC9XoWHTlCqM1GqVpNN7udiZcvk6nXN8mpRnuj07avF7qSvG0hq29E6oDkZGXxs6wsggWB83o9oTYbCAKlajUXdDoiKisZk5VFTlYW6QMHtnV1fbQUaWmKt67sbPDzU9Q9AgORe/fG8d13aFHiphgliUrArtVySa0mtKKCy+vWoR00CMrLFRuVKoNOAL3aU89UlmUktYRerffwf77/3H6+++k7Qv1CryxcBAj1C+W7n77j0MVDDO4x2J2/Zrlthbf4Fq+++iq5ubls376dcePG8de//pVp06Y1quy+ffvy8ccfe6Tt3r3bw9h+9+7dDBgwoPEVr4OIiAh3xOHJ7VStx0fzkJaWRq/UVP5YWUmfyEiP/0VZljl37hypqamsfvfddrk46fRU8+4F4FdRwTl/fy4KApGALAic0+uxqNWUAteXlDAwPJxLly7x9ddf+7x7+fBRA98CpQNi3bePBIuFEr0eBIFLWi2VKhV2QQBBoESrJdFq5dK+feBboHReqgfmzMtT1L30eiwFBaglCTtgV6nQShJyNV11u1pN70uXOF9YqCxKVCrQ6yEiQjmBaQCyLJNxMAOT1USQLgiz3ez+Ti2qMVlNZBzMYFD0oBYJ/ldaWuqOa+EiJCSEmJgYAMrKyjh//rzH935+fl5tSr7//nsWLFjABx98wPDhw1m6dCmzZ89m9OjRJCYm1spfVFTE3Xff7fb+FRgYyP79+3nllVdqeYB6//33GTRoECNGjGDTpk3s3buXDRs2NEV8DxYtWsSjjz6K0Whk3LhxWK1W9u/fz+XLl90udX10fERRZO7cucyaNYtvCwsJCwtDr9djsVgoLCzEGBrKvQsWIEZEtHVVfaAsKFNSUti3dy//A2gkiUtVRsZmUSTQZuPuixdZMH8+NrsdnU5HSkoKc+fO9Wor58NHV8K3VG9BvE2GmkoIoAUqXQmCQIVaja1KpcNS9X1IizzdOy0lb3ulXcjrMpyvEZjTLgjk+/lxyt+f83o9zqpFgr/dTrTdjlaWFZMSjUZZoJjNkJ+vGN7XQU11IYfk4CfTTwTpgjBZTbWuIF0QZ01ncUiOOstrKtu3b2fAgAEe16JFi9zfL1iwgKioKI/riSeeqLMsi8XCb3/7W6ZOncodd9wBwPTp0xkzZgz3338/zjq8IgUEBDB06FD+/Oc/c/PNN3Pdddcxf/58pk+fXsvz16JFi9i8eTNpaWn87W9/47333qNv377N9i4eeugh1q9fz1//+leuv/56Ro0axcaNG0lISGhwGdca6ddH89DQvmTkyJGsWrWK/v37YzKZ+OmnnzCZTKSnp7Nq1aoOMbFtF/1mKyCKIo899hjDdTpSL12iuEoV2+l0IldW4idJjLNaecBm482KCoaoVGRnZ3d4715dpX1ddCV5W1tWQfZZRnrFZDJhNBopLS1tVz9C6eBBzo0axSWrFfz8ruyO/3/23jw+qur+/3/ee2fLvieQQDYIq4aAAkWNYMUi7oIL1lZcP+qv4BJExSqIFLUKFKu2iN9Sqm2x+nH9qEXBDcSNJISgEEACCZAAWcie2e49vz9uZkgggUz2yczz8ZgHzJkzZ85rzs2Z+z7nvN9vACGQGhuJNpmI/+orZP8Oim+gaZCfDxUVHMjORnviCRqMRhwm04k6QpBWV0egqlKflETx3/7GkPh4LK4jBU3XE0OGtCtM9bH6Y1RbT43K5SLcEk5MUExnlXk1kiTx7rvvnjbzfV/HarWyf/9+UlJSTgkz2VfnyJ6mp78HTdPIz8/3J/7r6whB6VVXYdq4kUNCoAmBJEkoqsogp5MgwKooqLLM19HRLE9Lo6i4mIyMDN5++23/mPrpF3R0fvT4iFdRURG7d+8mPT291YzHJSUlxMfHe9psv0PTNI4cOcKAAQO6fJKRMzKwZGSQ8N13yDU1VJnNVJvNaJqGw24nUQjMY8ciuxype4Du1NsX6XN6mznOJ06ezA8rV5JQVka5weBO0hmgqpg1DYF+4yyrqu5M6zJiDAZ9J6W8XHe6b/JLcUV5MhqNLY5rxQbFEhsUe3JPvJ629PZXfE1vX6Mjc4ksy2T04PzeVfS5ebOb0ex2IurrMSclEWSzoaoqqqpSVlZGvdlMgN1OkKrSAIypqmJEXR0NMTHu6F7eNsY+N74+pLc3tHr0KevWrWPo0KFceumlpKam8vrrrwNQXFzMs88+y8SJE0lMTOyWjnobQghKS0u7J3SnLBP99NOEBQURIkmYnE4cVismu51URSEsMZHopUt7NHt8t+rtg/RlvbLBQMDvf0+D0Uh0fT1Gux00DbPDgSQEdkAEBuqVHQ49CpjDoSd9dDigpAQKC2HfPveRL1fUK1/Br9dPT9GX55Kuxpe0AgiDgd0LFqC99x6WTz8l6LPP+PHpp7kzNpaHzzqLvPBwnE2LApF2O1eUlmIxm7Hb7V4Z3cvnxteH9PaGVo92UJYsWcLcuXO54447eOyxx7j33nvZs2cPzz77LEOGDOHiiy92Z2L2080kJ2NKSUEcOkSsxUK004lkNmPOyECaN0/3TfDjs4yZM4ftwPGlS4mtqMBgtyOjO81rCQkYR4/WfU8kCVRVN0xAf96UAE40NCCKimiMjsZqNBIQEOBfYfcQX/jh8uPHT9s4IyMhLU2fb9Gje5UGB5PY0MBAq5XSgAAi7XZkITivvJyU8HCOmUxERfW0F6kfP30LjwyUffv2cf/995OUlMTLL79MYmIiW7ZsIT8/n5EjR3ZXH/20xgcfQHg40vTpmG+4QU/OFxWlh57t51uNftrHmDlz0O65h71vv01VcTFBgwaR8MYbSPn5WEH/wTSb9R0UOBHRS1Fwqip2TcPgcOA8fJhKgwHrsWOEx8QQFBXVLh8VP378+PHTkvT0dEYMH86ln3+OWdMotVhwyDIDGhsxqyqXHTxIzcUXk56e3ttd9eOnV/HIQHE4HO7EZoMGDcJisbBs2TK/cdIKkiQRFRXVPSvOViv8tymZ3jXXnEja14t0q94+iLfolQ0Ght9444mCQYP0sMSHD+uO9ZqmZ51uClGNyYRTVXE0JXkUQLAQBDid4HQiiopwlJdjTEhod0hib8TXkhb2Rb0Oh4MjR47Q0NBATEwMkZGRvd2lbsFb5pKuwJe0Qut6ZVlm0eWXE/7JJxwTAlXTqFUUnGYzToeDCQ4Hwy67DHJyqFy4kJ+vugrTpEleEQjBP779l97Q6vHV/u9//5uCggJAD03pCxk0O4IsyyQnJ3fPhPL551BfDwMHwvjxZ67fA3Sr3j6I1+p1hSUeMUI3TFzZqJtyoQhFwWG3YxQCsxAYhUBGTzLmlGVUgIYGxGlCEns7kiRhNpt94kcH+pbe2tpa/vrXvzJ58mRCQ0NJTk5m5MiRxMTEkJSUxF133cXWrVt7u5tditfOJR3Al7RCG3qFYGx2NvEhIZiDgjDY7UiNjdhUFVNwMPEhIQz44AO+uvZaxIYN7Hv4YWbdeCMzZszo8+GH/ePbf+kNrR59UmZmJosWLWL06NFER0djtVp54YUXePPNN9m5cydOZ/fkPPBGNE3jwIEDaJrW9Y27MlVffXWfOWrTrXr7IF6t12WkREfrmY+NRv2ol6KgqSqapqFJEhLgurqkJl8KIUnYhEA4nXD0qG7k9DOEENhsNp/xH+krelesWEFycjJ///vfmTp1Ku+99x55eXns2bOHb7/9lkWLFuF0OvnVr37FpZdeyt69e3u1v12FV88lHuJLWqENvU4nHDqEOTqaYbGxjBg4kGFxcfq/sbGogYE4NmxgQkkJVkXhPFVlopfkSPGPb/+lN7R6tK//1VdfAbB3715ycnLIzc0lNzeX1157jaqqKkwmE8OGDSM/P79bOutNCCGoqKhwZ7buNM3yXHDVVbBnD0yf3jVtdwFdrreP4/V6ZVkPLxwRoYcWbmgAsxkhBEIIVEnC4DJKAEUIJE3DKUmogKYoyFYrHD+uhyc2GNxhifsDTqcTU/McMv2cvqB369atbNq0idGjR7f6+oQJE7j99ttZtWoVf//739m8eTNpaWk93Muux+vnEg/wJa3Qhl6jEdauhepqJKB5ZiFN05h/zz08WFKCAQjSNGySxHVVVRQ15UhZsWIF559/fp9ctfePb/+lN7R26OBxWloaaWlpzJo1y122f/9+srOz2bZtW5d1zk8TmzfD8uVQUKAn0zOb9SM648f7o3X56RySBHFxehZ5mw1JUZAAWQgkQANUSUIWArnpyJcmy/qOisOhZ64H3eCxWPS2+rFvip/uY926de2qZzabueeee7q5N378dCOxsfrjJPLz8jhaWIhRUWgUAgUwqWq/yJHix4+neGSCL1y4kJycnFZfS0lJ4frrr+fpp5/uko75aWLzZt2pOS8PQkNh8GD93+3b9fI+vN3rx0sICYHERAgMRBYCkyQhCYEGOGUZpyxjl2VUSUKVJBRJQnY49ONdiqLvxCiKvgvTj31TzsStt97q1Rnj/fjx07tUlJczs7ISE3AoMBANMAhBhMPB5V6eI8WPH0/xyEA5dOgQ06dPZ9CgQdx7773897//xW63d1ffvBpJkhg4cGDnHE81Td85qaqC5GT9BvDQIX21OikJqqthxQq9Xi/TJXq9iH6nNyQEhgxBSk3FkZDAQbOZuqadEoF+zMsOOCUJEyBpmn4dNl17uw8c4L7nn2f3vn16oseaGv167Qa/hjMZAsnJyUiSdMrj2WefbfdnGI3GrujqaTlw4ACSJJGXl9ftn3UmekKvn9bpd3PJafAlreC53kFHjzLBbue4ouBQFI5YLNC0gz2xooKUigpMfThHin98+y+9odUjA2XNmjUcOXKEdevWERISwgMPPEB0dDQzZ87ktddeo7Kysrv66XXIskx8fHznzonm5+vHumJj9aM45eX6mf/GRv15TAzs2qXX62W6RK8X0S/1ShIEBhIYF0dscjK1gYGogFFVkYRAURQsBgOyyziRJN3h02rl06+/5v+++IJPt2yBujrYv/+UbPQ9yVNPPUVpaWmLx9y5c9v1XkmSMJlMPvGjA76nt6/RL+eSNvAlreChXiEY9uWXhMsyNqcTs9OJKklUGwwIINzh4JriYi4fMIAxzz0HbZxm6U3849t/6Q2tHn+SLMtkZmby3HPPsXv3br7//nsmTpzIK6+8Qnx8PBdeeCHLli3j8OHDHrX78ssvk5ycjMViYeLEifzwww9t1v3pp5+YOXOme6V05cqVp9R58sknT1lBHTFihKdyO4yqquzduxdVVTveSEWF7nNiseir0TabflMYHq6/brGA3a7X62W6RK8X0d/1hoSEkDB8OFJSElJQEGaDAYsso4B+DZrNHK2pYU9xMXuLivj4yy+prqnhv19/zd7iYnYfOkRJRQVafT1aURGih42UkJAQBgwY0OIRFBTUZv0pU6a0uuty4MCBVuurqkpWVhbh4eFERUXx8MMPnxIFa/369VxwwQXuOldccQX79u1zv56SkgLA2LFjkSSJKVOmALqz+CWXXEJ0dDRhYWFMnjyZ3Nzczn0hp0EIgdVq7fUoXg6Hg7/97W/87W9/86md+f4+lzTHl7SCh3qdTqTDhwmIjSVckjBZrQQ4HKiShF2SKJNloiWJh4KDkT77DF55pc9FUfSPb/+lN7R2yBT685//TElJCQAjR47k4YcfZsuWLRw8eJBbb72VzZs3t9vhEeA///kPWVlZLFq0iNzcXMaMGcO0adM4duxYq/UbGhpITU3l2WefZcCAAW22O3r06BYrqF9//bVnQjtJTU1N5xqIijqR6fv4cb0sLOxEpnirVT//30e2ezut18vo73olScISHY1h+HDsgwbpxwoHDdKvOVnm+qwsZjz0EFc9+CC7CguJj4lhZ2EhV2Vlce1993H9gw/S4HTitNmoLyyktg/7przzzjvueaKkpISrrrqK4cOHExcX12r95cuXs3btWtasWcPXX39NZWUl7777bos69fX1ZGVlkZ2dzWeffYYsy1x77bXuMI2uRZiNGzdSWlrKO++8A+i5QGbPns3XX3/Nd999R1paGpdddlm3fn994Qf2oYceIi4ujtjYWObPn9/b3elR+vtc0hxf0goe6G2K7hW4cSPla9awfPJk7hk4kNuiorhp8GCWXnQR4YsXM3DfPkRYGNYNG/jhL38hLy+vT4W59Y9v/6WntXbIQHnggQfIzMzk4MGDLcrDw8MZM2YM77//Pg899FC721uxYgV33XUXt912G6NGjWLVqlUEBgayZs2aVuuPHz+e559/nlmzZmE2m9ts12AwtFhBjY6Obnef+gTp6Xq0rrKyEwaKKzGmEHr5yJF6PT9+ugtJQrNY9OAMERH6zp3DwcLf/Y6YyEgarVaiIyKIiYggOiKChqbnC+66C6nJud7gcFC9fz8NR492m29Kcx555BGCg4NbPE6XPyAyMtI9T6xbt45Nmzbx/vvvExAQ0Gr9lStXsmDBAmbMmMHIkSNZtWoVYWFhLerMnDmTGTNmMHToUDIyMlizZg07duxg586dAMTExAAQFRXFgAED3JnSf/nLX/Kb3/yGESNGMHLkSFavXk1DQ4M7zHt/RdM0NE3D6XR26Q3Xpk2buPLKK4mPj0eSJN5z5ZFqhXvuuafNXXk/frqd2FhIS2P8r3/Ny59+yh/feYffr13LH995h5fWr+fsggKsFRUcKimh4tAh9j36qNckcfTjx1M6fJhs6tSpTJ48uYWRUllZyYQJEzxqx263k5OTw9SpU090SpaZOnUq3377bUe7B+j5WuLj40lNTeXmm2+muLi4U+31OLIM8+bpK9a1tbpDclCQnkW+qEjfTcnKOrGj4sdPd+MKS6woTD3nHFY/+SQBFguKLGN3OlFkmQCzmZeeeIJf/uIX7mSPJiDWbsd4+DCiB3xT5s+fT15eXovHueeeC+g7qy6jZfpJuYT++9//smDBAv7xj38wbNiwVtuurq6mtLSUiRMnussMBoO7fRd79+7lpptuIjU11Z0VHTjjPHT06FHuuusu0tLSCAsLIzQ0lLq6Ou+bvzxk+fLlVFZWUlVVxbJly7qs3fr6esaMGcPLL7982nrvvvsu3333HfHx8V322X78dBRZlsnIyODiiy8mIyMDOTeXhvXrsVVUENrQgCxJXpXE0Y8fT+lQHhRJkliyZAmxsbFMnjyZr776yp28xdNzzOXl5aiqespRiri4OAoKCjrSPQAmTpzI2rVrGT58OKWlpSxevJjMzEx+/PFHQtrI02Cz2bDZbO7nru0sVVXdRyAkSUKWZTRNa6HVVe6qp2kagwcPdtc5+QiFLMtIktRquev9AJx3HtKvfoW0bp1+c3joEJhMiDFjEA88gJKZiRDilBVHRVFO6WNb5e3VdLpyTdNITExsn6YzlCuK0ic0ufrYmiaAxMREr9UEuJMytudv1mQynagXHAyJiUhHjyI0DYTg0LFjmE0mrHY7Ic18PWQhMGmanlNFklCFQAZkV0jixESkkJBW+yBJ0mn7dvJrzetHRUUxZMiQVt/z0Ucf4XA4AAgICHC/Z+fOncyaNYtnnnmG6dOnn/Idu5639W/zz5AkiSuvvJKkpCRWr15NfHw8mqZx9tlnu7O2t9XO7NmzqaioYOXKlSQnJ2MymTjvvPM6nO29re/RVS6EaDG+J9dv3teTr72u3OkwmUzceuutXdaei+nTp59iiJ7M4cOHmTt3Lp988gmXX355l/fhdEiSRFJSkk8EKfAlrdCFeoVArF5NbXk5FbLMYCEI1jRUp7NPJXH0j2//pTe0dshAcbFkyRIkSXIbKX0pEkzzH6T09HQmTpxIUlISb775JnfccUer73nmmWdYvHjxKeX5+fkEBwcD+o1PcnIyxcXFLWKRDxw4kPj4eAoLC1uc05NlmejoaAoKCrBare7yoUOHEhYWRn5+fosf+VGjRmEymVqEHg0fPJiUadNw/PKXFNntOMPCaExLQzYYGItuSP3888/u+haLhdGjR1NZWUlRUZG7PDQ0lLS0NI4cOUJpaam73FNNSUlJbWqSZZlt27adURNARkYGdrvdfeTF9X2NHTu2T2lqa5wiIyO9VpPZbMbhcNDY2OjWFRAQgCRJNDQ0tNAUGBiIoig0Nja6yyRFIXDIEEIVhaQhQxgcEcHlF1zA+19+SUlZGaFNRoexyTgRgGi68VWFAIMByeFAlJaiBAdjt9txOp3u9o1GIyaTCZvN1sLAcmU7V1W1RT/NZjMGg4HGxkaEEDgcDhoaGlrVFBMTQ2BgIEIIGhsbaWhooLy8nCuvvJKZM2dy3333tViokGWZgIAAnE4ndrsdo9HIgAED2LJlC5MnT3Z/j9nZ2e7xr6urY/fu3fz5z39m0qRJwAmfE1ffXLpcDuFWqxVN09iyZQt/+tOfmDZtGgaDgT179lBeXn5aTa5xcmlyj5MkERgYiKqqp9XkQlEULBYLDofDbcQ1H4OTrz3XvOjNaJrGb3/7W+bPn99mFvuT6crFLIAI19FdOrGYdYbyvrJIEhER4b5P6C+aXH1sbZxcIYHbq7VVTVu34ti4kTJNwxoQQIWqEmWzYVRVJlRW8qtjxxhXU8Pq3Fy2bdvG2LFju1XT6cYpKioKTdNavMcbxqkj154kSUREROi/a03tebumtsYJaJfW1jR11MexQwZK88489dRTbiPljTfe8Lit6OhoFEXh6NGjLcqPHj16Wgd4TwkPD2fYsGEtbhBPZsGCBWRlZbmf19TUMHjwYNLT0wkNDQVwT6yJiYnuXaPm5ampqYA+IHv27HGfSz85gpjrAkk/yX/EVd4iS2xGhh4KFBjSykpoaGhoq1llIyMjW/zwuRgwYECLHav2ajq5vLkml97g4OD2aWoqt1gsrfa9L2hq3veTNQkh2LVrF2effbb7j9ebNNlsNoxGIwEBAVgslhavBwYGntIXm83mvjFu9gHEJSfzwccfY7BaEUVFTD//fGyqisFkQmnaLQHdQDFpGk5JQlEU5KbvTLLZ4PhxTAYDJkWBgAB9p7CJtnzM6urq2LNnT4uy6OhoBg0ahCRJWK1WampqWhhsgYGB7r9j1/fj0nrLLbcQFBTEk08+SVlZGVarFbPZTGxsrHt8DQYDBoM+Zd5///08//zzjBo1iuHDh7NixQqqq6tRFAWTyURERARRUVG8/vrrpKSkUFxczIIFCwDd+AoMDCQpKYmAgAA2bNhAcnIyZrOZsLAw0tLSePPNNznvvPOora1l/vz5BAQEuN93unFqrqk5iqK0Wm4wGFAUBZvNhtlsdo+v0Wh050aRZdn9HZx87fXlwAft5Y9//CMGg4H77ruv3e/pjsWswYMHExsb26nFLPCORZLU1FQiIiL6laa2xslkMjF8+HB27NjRMU1CkLJ8OYG1tTg0DZOqUgsYZZkwVSXCZuPWwkIsmka51coP33/fIwt0rY3T2Wefze7du1ssenjLOHXk2quqqqKwsLBfaWprnMrLy1u4dHiiqa6ujg4hOsDTTz8t6urqWpQtXLhQxMbGClmWPW5vwoQJYs6cOe7nqqqKhIQE8cwzz5zxvUlJSeJPf/rTGevV1taKiIgI8cILL7S7X9XV1QIQ1dXV7X6PC6fTKbKzs4XT6fT4vd6IX6930djYKHbu3CkaGxvPWFfTNFFXVyc0TTt9vZoaUZuXJxqzs4UtO1vYs7OFunWraMzJEbbsbOHYulU4s7OFtm2bED/9JMSPPwqRkyPE9u36Y8cOIfbuFaKm5rSfM3v2bFfuyBaPO+64QwihzwmtvX733Xe32WZr9QGxf//+Vus7HA5x//33i9DQUBEeHi6ysrLELbfcIq6++mp3nQ0bNoiRI0cKs9ks0tPTxZdffikA8e6777rrvPrqq2Lw4MFClmUxefJkIYQQubm54txzzxUWi0WkpaWJt956q93zXEc40/ie7lrpzBzZG5z8/WdnZ4u4uDhx+PBhd1l7vmur1Sqqq6vdj4MHDwpAVFZWCqfTKZxOp1BVVQih/565ypqXu57bbDaRnZ0t7HZ7i3LXwzUurZVrmtbuciFEm+Un97Gt8vZqOpNWh8PRbzSdbpya6+2wpsZGoV56qWhMThY/G42i0GIRBwICxIGAAHHcYBBWSRJOEIeNRvGz0Sh2/uMf3arpdH13OBwiOztb2NYnBYwAACAASURBVGw2rxqnjl57ren1dk1tldvt9nZpbU1TZWVlh34nOrSD4loJbM7ixYsxGo0dcm7Myspi9uzZnHvuuUyYMIGVK1dSX1/PbbfdBuirmwkJCTzzzDMALSw/u93O4cOHycvLIzg4mKFDhwJ6yErXGfCSkhIWLVqEoijcdNNNHZHcOzid8O23MHGi7ijvx08fRgoJQaSmcrioCElVMckyMQ6HOwu9IsuYJQlJCD1Etms3UFH0hxB6hK8m3xTa8BVbu3Yta9eubbMfbeUuOR3iJJ+LhoYGAgMD2zyyajAYWLly5WmjPU2dOrXFCtXJnwNw5513cuedd7YoGzt2LFu3bm1Rdt1117VLhzdTXFxMYmJiu+sfPnyYhISETn3m5s2bOXbsWIvPVVWVefPmsXLlyjavJbPZ3OrunqIoLXZU4cQubGt1W6t3cnlb9TtSLjXtYJ5MW330tLy9fXH9XfUnTR3pY7vqKwr84x+Yjh9n2e9+R0FBgTsinaxpLPnpJ2JtNg5LEkmKQvSmTeSffTYVlZVERUWRnp5+irbuusaaH/1pbcz7+jh5Wt78Oj75JEVreIum041TR7S29flnoks9qR5//HGqqqo8ft+NN97IsmXLWLhwIRkZGeTl5bF+/Xr38Zbi4uIWW0glJSWMHTuWsWPHUlpayrJlyxg7dmyLH/pDhw5x0003MXz4cG644QaioqL47rvv3KE9vYIffoCFC+Guu/pcQiY/flojJCSE2KQktKAgqiQJK+hHvRQFo8WCHBAABoN+PQuh//gaDPqxLlkGsxmhqqgHD1J/5AjWyspeTyDop2cYP348d9999ynGWXOqq6t59dVXOeuss3j77bc7/Zm//e1vyc/PbxHtLT4+nvnz5/PJJ590un0/frqE2Fjk4cP59aJFHI+O5puyMvYIgcXpBE2jUFHAaERER1Pyn//wh2uu4c4772TWrFn+EMR+vJZOOcl3JXPmzGHOnDmtvvbll1+2eJ6cnHzGm5aO+MN0JbIsu53GO8znn+v/TpjQ4lx+X6RL9HoRvqb3dPmGTiYkJITg4GDdYb22FkNZme4s77qGXd+ZLJ/YGXQ6QVFQHQ5wOJDsdkwNDWiSRP3Bg8gDBxIYG9vFqtrGE739gb6gd+fOnSxdupRLLrkEi8XCOeecQ3x8PBaLhePHj7Nz505++uknxo0bx3PPPcdll13Wrnbr6upanKnev38/eXl5REZGkpiY6HZiduEKgjB8+PAu1dcWvjSX+JJW6Hq9mZmZvPjiiyxfvpyCXbu4qKQEg6qihYUxMDKS4sOHSbJaudVs5tjIkVhtNncI4hdffJHMzMwu6Udb+Me3/9IbWvuMgdLfkCTplMRt7UbTIDsbPvhA//+UKV3at+6gU3q9EF/SK0mS2znck/cEBgaC63H06IljXULoBrfZrO+gqCrY7Xp43mYOfqos6871DgfawYM0QI8YKR3R6830Fb1RUVGsWLGCpUuX8tFHH/H1119TVFREY2Mj0dHR3HzzzUybNo2zzjrLo3azs7O56KKL3M9dgVBmz5592qOCPYWvzSW+ohW6R29mZibnn38+e9etY9CCBRAczMDYWH766SeCHQ6CgClVVWyorcVqMHB9QwMv2Gw9EoLYP779l97Q2vu/Sv0UVVXJz88nPT3ds/N3mzfD8uWQm6tnijca4fe/1xM2dvPqR2fosF4vxZf0iqbQtadE8WovISF67pTGRn2nxOmEkpITOymShJBlfecE3TsdToQmdioKBlXFWVqKiInp9lDmndbrZfQ1vQEBAVx33XVd5nczZcoUj44JdsSHqTP40lziS1qh+/TKksTwr77SF3dCQqirqECtrcVoMKAKgUVVeWDPHnaGhnLO8ePcHhbGgp07yc/PbzWSZFfhH9/+S29o7f/7Ur2Ix0nMNm+GuXMhL0+/iTObITIStm/Xy/v4OdKuTNrmDfiS3k77gUiSvpMSGgoREWCxQFOeDWQZTVHcobNct8jNp0BVljE6ndiPHIGaGt2Zvht9U3zN78XX9PY1fGku8SWt0E16nU49aXNoKNTUIFVXE6yqBAC1BgNOSSLGbiezooI6RWFcfT0j6upahLLtLvzj23/paa3+HZS+gqbpOydVVXoEox9/1G/qBgzQb+aKimDFCjj//BMrz378eCOSBHFxerQum03fJWweRavpoQiBJAQOWUYCDEIgHT2qX/+yrP9dxMW1Ge3Ljx8/fvolRiOsXQvV1QAU7dzJgw8+SHBwMAEBASQ0NPDQnj2EOhwYmo7K/rq+nqjIyF7tth8/ntDld7qyLPPLX/6SnJycrm66f5OfDwUFEBsLdXX6DZvZfCJxXUwM7Nql1/Pjx9sJCdEN8cBAUFWkpvCUGmCXZRxNP6qqJCELgakpIz2KojvWK8qJkMT9IFmgHz9+/HhEbCykpUFaGiOuvJKA9HRya2s5FBBAtcmEU5JwyDLBqopQVc5TVdKbJVD046ev0+UGypo1a7jwwgv53e9+19VNexWyLDNq1Kj2O6RVVOiryRYLhIXByJHQLGMzFgvY7Xq9PojHer0cX9MbEBDQ9Y2GhMCQIZCaipSSgtVgQAM0SUKTJOyyjCZJ+s4JTce/XE72TSGJUVXdAb++vkuPfnWL3j6Mr+ntS/jSXOJLWqHn9MqyzLx58wgLC6PowAGmFRcDcNhoRBMCh6IQHRSE9P/+H3nbtvHZZ5+Rl5fX5Ud2/OPbf+kNrV1+xOvWW28F4Mknn+zqpr0OkyfJFaOi9BsuqxWCgvT/Nw/9abXqK8cnhcTsS3iktx/gS3q7zXm6yTdFAoiPRzt4EIOq6hG8mhKRyULoxoks6zstqqrnTjEadUPFZZhAlx396gvO4j2Jr+ntK2iaxvbt2ykrKyMmJoYxY8b0+5sdX5o3oef0ukIQv//446R/9x1lQKMsQ1gYccnJOOrrKX/jDf7w6afkyDJms5kRI0Ywb968Lg0/7B/f/ktPa+3fM2EvommaZysU6ekwYoQeuevkFWAh9PKRI/V6fRCP9Xo5vqa3wWUAdCOBsbFogwdjNxqRhUBpMk4AhNmsJ3l0RQ9xOnWjxGbT/beacqoIRUGrr0c9cABbSQmig7sqPaEXdMPgvffeA/ToUZIkkZeX1yOf3Zye0ns6amtrmTdvHiNHjiQmJoahQ4dy2WWXsXTpUgoKCnq7e13O5s2bmTFjBrNmzeK2227ziaR6vjZv9rTezAsu4PlhwxgcFkZSaiqjhwxhWFoastXK/oMHMTQ0cFdtLReHh7OyrAz1hx+YO3dul11z/vHtv/SGVo8NlKKiIj799FOOHDnS6uslJSWd7pRPIst6KOGwMN0hvr5eXymur9efh4VBVpbfQd5Pn2T3brjvPv3fzhAYG0tQejoiJQVnQgIiIQHJYkExGNzHum5dvJhrsrJO5FRpwqlpNNpspEyfjiE9HUtCAnJYGFJQEJIs8+zixZ1UeYKGhgYWLFjAkCFDsFgsxMTEMHnyZN5///0Otzl48GBKS0s9zvPRX7jlllt46623+PWvf83SpUuZO3cun3/+Oa+//jqjR4/m6quv7je/L5s3b2bu3Lnk5eURGhpKXFwcoaGh7qR6/dlI8dONOJ1Ihw9jiooiDAh2OqG6mpqDBwl2OAiUZcbX1nLT4cNMrK3lf4DqqipWrFjhEzfZfrwLj454rVu3jltuuQVVVbFYLLzyyiv89re/pbi4mH//+9+8++675OTk4HQ6u6u//ZvMTHjxRT2aV0EBlJfrx7oyMnTjpA/nQfHj23z6Kfzf/+k+m51NwC1JEhZXtBkhdCO9oeHEkUdJammoSxIqYLNakZv8VRbffTd3XnMNVkkCScKiKISFhuoO9V0Q9euee+7h+++/58UXX2TUqFFUVFTwzTffdCqMp6IoDBgwoNN981Y+/fRTvv76a8aOHesue/zxx/n4449RFIWlS5cyfvx4vv76a1JSUnqxp51D0zSWL19OVVUVycnJgJ7tPigoiKCgIIqKinokqZ6ffshJ0b0AdjVF+AoPDOTOsjJS6uv5RWUlVUYj6VVVXJiczPe7dnV7jhQ/fjzFo9lvyZIlzJ07lx07dnDJJZdw77338sQTTzBkyBDWrl3Lueeey1tvvdVdffUNMjPhnXfgjTfg1Vf1f99+22+c+OkxrNa2H82DwBw9Cjt26BGxP/xQj5D94Yf68x079ABb7Wn3tLhCEivKieNccGLnRJYRZjM2pxMhBMamt4UEBjIgOpr4mBhio6IIj4oi0Gxu06F+ypQpSJKEJEnIskxwcDCyLLeZtO+DDz7gscce47LLLiM5OZlzzjmHuXPncvvtt7vrJCcns2TJEm666SaCgoJISEjg5ZdfblPqyUe8vvzySyRJ4rPPPuPcc88lMDCQ8847j90nbVO9//77jBs3DovFQmpqKosXL/bKRaK4uLg2j5olJSWxevVq7r33Xu6///4e7lnXkp+fT0FBAbGxsaf4/kiSRExMDLuabhj9+PGYZtG9SEujNDiYPUJQGhnJC0OHYlFVDJqGRVWxaBozjx/HbrP1SI4UP348waMdlH379nH//feTlJTEyy+/TGJiIlu2bCE/P5+RI0d2Vx+9ElmWycjI6NgKmCzruyZeRKf0eiH9We/06a2VBgIwcSI8+6xecv31kJur2wyaptsQX30FEybodkV4OBw+fKKFWbNaLOy5+eKLM3TIFZL46FHdonEZKZIEJhOaLKNpGkqTU70LCT2XiiZJaJqGkGWkNhzq33nnHexN1pcQgjlz5vDTTz8RFxfXapcGDBjAxx9/zIwZMwg5zY7M888/z2OPPcbixYv55JNPuP/++xk2bBiXXHLJGUSf4Pe//z3Lly8nJiaGe+65h9tvv50tW7YA+lGhW265hT//+c9kZmayb98+/ud//geARYsWtfszAgMD2123u5gzZw633347b775JmPGjGm1zm9+8xuedV2AXkpFRQU2mw2LxQLoRklwcLDbWLFYLJSXl/fLG8b+PG+2Rl/QGxUVhdlsxmq1MqopnLtdljEJgaKqjDl+nHFxcUR1QQCevqC3J/Elvb2h1aNPcjgc7nCUgwYNwmKxsGzZMr9x0gZ2H4s57tfrWyxcqJ9A1DT9ZIHJpP/rej5xYhd+WLOQxAQH65HuQkNB0/Qs6E1Hu1w8+tJLhFx4IRGZmcRecAEDLriAr3/4oYVDffNcKpFGIwNCQxkQGMi6117j888/5/33328z/O7q1av55ptviIqKYvz48Tz44INuo6E5559/Po8++ijDhg1j7ty5XHfddfzpT3/ySPrSpUuZPHkyo0aN4tFHH+Wbb77B2rT1tHjxYh599FFmz55Namoql1xyCUuWLOGVV17x6DP6Qib5rKwsrrzySsaNG8ell17KqlWr0DStxS7DG2+8QXR0dC/2svM0v2F00fz7t1qtmEymLrlh7Iv42rzZ23rT09MZMWIEZceOcXlpKQYhKA4MRJUkFE0j2m7n/xNCz5Fy883QyRx2va23p/ElvT2t1eMww//+97+59NJLGTFiBIqiEBER0R398no0TWPnzp1kZGSguCIPnaZufn4+FRUVREVFkZ6e7nUWuSd6+wP9We9//9vyuRC6U3hgYCDNpU6dCps2wcyZuq1gNILDoZ+eevtt/YRBc954o5MdawpJjNGoGxdN2ehlpxMZPU+Ki3m//S2/ueoqJCHcfimDYmJAkhh9zTUUlZYCkHnOOfz3xRehsBAUhY83bWLBE0/w9ksvkRQZiRCi1RC8F154IYWFhXz33Xd88803fPbZZ7zwwgssXryYJ554wl1v0qRJLd43adIkVq5c6ZHs9GaR+wYOHAjAsWPHSExMZPv27WzZsoWlS5e666iqitVqdY9Ze2hsbOwTuyjLli3j+uuvZ9myZcybN4/GxkbGjBlDdHQ01dXVWK1W1q5d29vd7BSuG8bt27e7v/P6+nqCg4MBKCsrIyMjo8W49xf687zZGn1BrytHyqo77mDk4cNUmkzYZJlik4mExkaMksQkpxP5mWcQW7ZQYbWy/d57iYqO9vhepC/o7Ul8SW9vaPXIQMnMzGTRokXMmzePiIgIrFYrL7zwAueddx5nnXUWw4YNw2Do8tQq/ZrNmzezfPlyCgoKsNls3Rab3I+f9tJ08sSNEPrGg8Wi2wjNMZv1DYmSEv11q1U3Vk5O49Nau52m6eiXdPQohpoahKa5jZSIiAiSExMBkDQNi2uFWlH4ePVqHE4nCEGA0ahHyxOCHYWF3PTIIzw1Zw6XjBuHVlzM4YoKwhISWj3GZTQayczMJDMzk0ceeYQ//OEPPPXUUzzyyCNdGi/eaDS6/+8yllwRd+rq6li8eDEzZsw45X2WLv/Ce4aJEyfy1ltvYbfbyc3NZc+ePdTU1BAdHc0vf/lLYmNje7uLncJ1wzh37lyKioqIjo5G0zTq6+spLy8nLCyMrKwsr1uk8tN3ybzgAoYOH47p4EEOqSqS04kmSVQFBxMXE0NAdTWODRs4Blg//JA/f/stu0ND/fcifnoVj6yJr776CoC9e/eSk5NDbm4uubm5vPbaa1RVVWEymRg2bJjfua+duEJNVlVVERsbi8ViwWq1ukNNvvjii/6JwU+fJjxcP3WVkABXXqlH8jp8WC/vEUJCkIKDcVRUUFZaiqKq7ozzkhCozRznpaajXUkJCXqB1arnUxGCsqoqrp47l6suuog5v/kNTsAoBOH19VQcOIA8cCBBUVGnWmjNGDVqFE6n031EB+C7775rUee7777r0iOx48aNY/fu3QwdOrTL2uwrmEwmfvGLX/CLX/yit7vS5biS6i1fvpxdu3ZRV1dHcHAwGRkZZGVl+ed9P12L08lAVUUkJRFks6GqKoqiYDabkQBHYyNqQwPlBgNxwB1C8IeQEP+9iJ9epUPbHWlpaaSlpTFr1ix32f79+8nOzmbbtm1d1jlv53QrYCeHmnStjAYFBREYGOiVoSa9pZ9dhS/pbSvTeEwMvPeenthdkuCKK/R7/maL/t1CdXX1KQkNzWYzxoAAVEnieEMDx8rKkCUJRVGQVZXA0FBCg4L0yq4cKk1Z6q+bP59Ai4Un7r6boxUVSEJg0jRiIyKIFwJRXIyoqkJqylA/ZcoUbrrpJs4991yioqLYuXMnjz32GBdddBGhoaHuPm3ZsoXnnnuOa665hg0bNvDWW2/x0Ucfddn3sHDhQq644goSExO57rrrkGWZ7du38+OPP/KHP/yh3e34M8n3PJmZmZx//vls27aNrVu3Mn78eMaOHdvv55X+ru9k+oTepvDDUnU1J++ratu3Uz57Ng2yTIoQCCEYV13NuPh4CpKSPL4X6RN6exBf0tvTWj0yUBYuXMjVV1/NOeecc8prKSkppKSkcP3113dZ57wZRVFaxPM/GU9CTXpDbPIz6e1v+JJeSZJO65/Q3BiRpO43TkAPwXvy93/HHXfw6quvohgMPL1qFU+vWtXi9buvu45Vrpt2V0ebjndtalpYGX7FFS3es+/994lPSEATAkN9PVJxMSQmMu2ii/jHmjU89thjNDQ0EB8fzxVXXMHChQtbvH/evHlkZ2ezePFiQkNDWbFiBdOmTeuy72HatGl8+OGHPPXUU/zxj3/EaDQyYsQI7rzzzna3cabx9dN9yLLMOeec0+pvan/El+ZN6GN6Y2P1R3OEoPLRR9HsduosFiLtdgxCEGWzMePQIZ4ZOdKje5E+pbcH8CW9vaHVIwPl0KFDTJ8+HZPJxJVXXslVV13FxRdf3KXnrfsLQghqamoIDQ1tdXXy5FCTJ+NtoSbPpLe/4Ut6hRDuIwF9QevatWtP6yhdVFR0amFtrZ6YxWbTDZPmOiSJxuxsZPSwxK5XBHqoYpskoQmBZjAgO51QWMiCmTNZcO21LUIVt5YAMjQ0lDfffLPNvjaP3pScnNzi+ZQpU06JrpWRkXFK2bRp0zpl9PS18fU1fG0u8RWt4AV6s7MJ2LqVEllGNRg4pCgkNDYiaxrnV1QwvrKSSkXhykOHsH/77RnTH/R5vV2ML+ntDa0e7desWbOGI0eOsG7dOkJCQnjggQeIjo5m5syZvPbaa1RWVnZXP70OTdP4+eef3c6sJ9NaqMnmeFuoyTPp7W/4ml6bzdbbXegcrlwqgYH6ronDoR/xMhgQioITcEgSjqYtbJdxokkSshCYAFlV9fc6ne4cLM1DFVNb24sCO0dfG9/i4uJWQx8LISg+OQOol+NLc4kvaYU+rlcIePVVjFYrQpIwOp0oQlBmMuGQJIyaxgN79nBdUREXWK2kbtx4IkFuG/Rpvd2AL+ntDa0eHyiTZZnMzEyee+45du/ezffff8/EiRN55ZVXiI+P58ILL2TZsmUcbp6hzc8puGOTl5Wd8kMshKCsrIyRI0f2y1CTfvz0Cs1zqSQl6f+mpiIZjZglCanZ36GEbqQ4mwwUBZAcjhNJIkE3UmRZD1emqoijR7FWVFB/5AhW/2JNp0hJSaGsrOyU8srKSlJSUnqhR3789DOcTjh0CGNkJFFGIwE2G0FOJxZNo9ZoxC7LhDqdXFBVhcNkIig3lx/+8hfy8vJ84obcT+/TISf52tpad9jNkSNHMnLkSB5++GHKysr44IMP+OCDDwB46KGHuq6n/YyTQ03GxMS4o3iVlZX5Q0368dMduHKpNC9KTITDh1Hq65Gafng1wCHLqEKgyTIWRdENFNBXEe123VgxGECWUQGqqpCrq905WX58/33kprwlfjyjrfwzdXV1Xhs+2Y+fPkUzx/nSrVtZsmQJtbW1REZGYjabUerqeOrnn4kCSg0G1EOH2PfooyyOj2fEyJH+8MN+up0OGSiZmZmsX7+eAQMGtCiPiYnhjjvu4I477uiSznk7Z/ohbR5qsqCggPLyckwmk9eGmvS1Gwdf0tuvDeWQEIzDh1NfUUFVWRlhjY0YNQ1VCGRFwWQyIQuhrzg2pylEsSpJYLcjA05AlWU9CpjDgXbwIFa7HUtoqG7MBAScNlRxb9FXxjcrKwvQHfefeOKJFs77qqry/fffe0XQEE/xpbnEl7RCH9fb5Dg/Pi2N+YMHs3z5cn4qKMBeV8c4VUUxGCiWZax2O9UmE+epKhMVhU2nCT/cp/V2A76kt6e1SqK1g75n4LbbbuPzzz/nk08+YcSIEe7yvLw8HnvsMT7++OMu7WRvUVNTQ1hYGNXV1S1Ch3Y1/SGTvB/vwmq1sn//fpKTkwkICOjt7vQZhBDYKiowlpYiaRqSyaSv5KuqnjdFkk5krHQ6EYqC2tioGzDoR8KcTX+7shAYNQ0J9HbO4FDfV2lsbOTAgQOkpKSc8gPV1XPkRRddBOg5tyZNmtQiAIvJZCI5OZmHHnqItLS0dre5adMmnn/+eXJycigtLeXdd9/lmmuuAcDhcPD444/z8ccfU1hYSFhYGFOnTuXZZ58lPj6+3Z/RU78Vfvx0J+57kfJy0v/yF7T16ylUVSwBASAESY2NfBMVxbJhwygqLiYjI4O3337bf7/i57R0dH7s0A7K3//+dxYtWsQFF1zAe++9R2xsLI8//jhvv/02l112WUea7HdomkZlZSWRkZFn/OOVZdnrVwU90dsf8Ha9ruzkDQ0NZzRQhBA4nU4MBkO/j1QiSRLmqChUgwG5vBzJatWPdEmSvgMCumM8gMmE5nC4jROBHgVM0TS0pv+70GQZpblDfWJinzFSzjS+DQ0NQMuM9t3FF198AeiLYC+88EKX3OzX19czZswYbr/9dmbMmNHitYaGBnJzc3niiScYM2YMx48f5/777+eqq64iOzu705/dHrx9LvEEX9IK3qfXfS+ydSvWbdv4WdMwms0gScTYbJibont9WFtLQyvhh71Nb2fxJb29obVDBgrA4sWLMZvNXHLJJaiqysUXX8y3337LhAkTurJ/XosQgqKiIiIiInq7Kz2CX693oSgK4eHhHDt2DIDAwMA2jQ8hBI2NjQQEBPR7AwWa9GoaAfHxSDabvnuiKLrPSUmJvpPSlJlSVVVkdJ8VVZKQacpij37cy2WiCE3TDRSjUfdfKSnRs1xqmt62a1emt/S2Mr5CCBoaGjh27Bjh4eF6/3uIv/zlLy2ChxQVFfHuu+8yatQofvWrX3nU1vTp05k+fXqrr4WFhbFhw4YWZS+99BITJkyguLiYxMREzzvvId4+l3iCL2kFL9XbFN2L2locQhAgBJKq4pBlBBDkdPI/hYX8JSXllPDDXqm3E/iS3t7Q2iED5ejRozz99NO8+uqrjBo1ioKCAm699Va/ceLHjxfh8iFzGSltIYTA4XBgNBp9xkBpU6/TCTU1bv8TIQRCVdEkCU2SQAh3PpUWyDKS67iSK1RxcbFulLh2Z0JDdUOlhznT+IaHh5/ib9jdXH311cyYMYN77rmHqqoqJkyYgMlkory8nBUrVnDvvfd222dXV1cjSRLh4eFt1rHZbC1CM9fU1AC6n4yqqoC+GyfLMpqmtTC2XOWueq5/tSYj1vXchSzLSE3G8Mnlrve1p1xRFIQQrZaf3Me2ytur6UxaXe/tD5qa9/HkcWqut71ae12Tw4F08CAiJITQmhpkpxO5aV5oUBQMQjCkro7b9u9nhNWK9umnqHfdBZLU5rj2uqZmdPXf08l6+4OmtsapPVpb03Ryv9pLhwyUlJQUhg8fzltvvcXll1/O+vXrufHGGykuLmb+/Pkd6ogfP356FkmSGDhwILGxsThcEapaQVVVCgoKGDp0aI+uovcWZ9SrabB7N1RVoYWEsOPee4mtrOR4QADIMmank3irFSdg1DSQJAxJSUixsXqulKIiPWFkYiJERYHNhqisxGYyse+GGwiMiyMpLAw5MhKGD9dDGfeSXqPR2Ctjnpuby5/+9CcA/vd//5cBAwawbds23n77bRYuXNhtBorVauWRRx7hpptuOu3xsmeeeYbFixefUp6fn09wcDCgbYaDjwAAIABJREFU57pKTk6muLi4RcLdgQMHEh8fT2FhoduwATh+/DixsbEUFBS0yI81dOhQwsLCyM/Pb3HjMGrUKEwmE3l5eS36kJGRgd1uZ+fOne4yWZYZO3YsNTU1/Pzzz+5yi8XC6NGjqaysbJHgNDQ0lLS0NI4cOUJpaam73FNNSUlJREdHn6KptraWiIiIfqWprXEC/UZwx44dXqPJkJWFVFPDiy++yM8//9zCWJ9WWcnF1dWMramhxmQibNs2NjzzDPujozn33HMBWmjtK5rONE4dufZqm3JfufT2B01tjdPx48dbaPVEU11dHR2hQ07yb7zxBrNmzWpRlpubyxVXXMG1117Lyy+/3KHO9DU64/ioqiqFhYWkpqb6zE1dW3pzSnJY8e0KsiZlcU78OeTk5PD4y48jJgmWXr6Uc+LP6aVedxxfGl9f0gqe693+0ktY5s8n0OGg2mzGIEmkNDToEb5kGS05meCEBN3Q+PFHqK7WjZzERBg8mKq6Og4WFxNXVYUQgnpFIchoJCQqisBx42DePOjGiH6dGd/ucg4PDAykoKCAxMREbrjhBkaPHs2iRYs4ePAgw4cPd/vFeIokSS2c5JvjcDiYOXMmhw4d4ssvvzytntZ2UAYPHkxlZaX7fZ7soLiCEBiNxn6/g3LgwAFSU1MxGAz9QlPzPra2g+LSe/LupDdo2rJlC/fddx9VVVUnUiE0NPD3HTtIczrRLBYaNI2NFguPhodjMpsZPHgwjz32GJMnT+6Tmrry78npdFJYWEhycrJ77vR2TW2Nk8PhcAfWOZ3W1jTV1NQQGRnp8e9EhwyUtjhw4ADTp09n165dXdVkr+KPzNJ5hBDc/eHdvF/wPlePuJpVl6/i7nvu5p9V/4QR8Jvxv2H1Favdk/fJxowfP97A9pdeonHpUmIrKjBoGlGahiJJOFNTCR40SK9UWws7d+o+KJIEQUE4NI1Sm41GTSNRVTEIQZHFQoUQBMoyQ8PCCIiLgxdf7FYjpaN01xyZnp7OnXfeybXXXstZZ53F+vXrmTRpEjk5OVx++eUcOXKkQ+22ZaA4HA5uuOEGCgsL+fzzz4mKivKoXf9vhZ/+yubNm92pEOx2O+NUlZWVlUQKgcNqpRyQjUaeGTGCPKPRncettRDEfnyTjs6PXXp2IDk5mW+++aZD73355ZdJTk7GYrEwceJEfvjhhzbr/vTTT8ycOZPk5GQkSWLlypWdbrOr0TSNkpISn8m4qmka67ev59dv/5qckhx3eXZJNpuKNhFiDuGLA1+w8uOVfLLnE9RBKmq9yobdG8gu0aPlCCF4JecVNhZu5JWcV1pY5f/87J8kz0vmn5/9s8e1tYYvja8vaYWO6R0zZw4TDh7E8frrlD/zDBULF2I+6yyCnU6or9f9TurqwOHQM88nJyMCA7FZrYTZ7aSqKkYhdKd6RcFksVAnBD87HIiqKli4EDZsgLy8ltnse0lvd7Nw4UIeeughkpOTmThxIpMmTQLg008/ZezYsV36WS7jZO/evWzcuNFj46Sz9MXvv7vwJa3QP/RmZmbyzjvv8MYbb/Dq6tWsOvdcEiIjKTSZKFIUaoKCCBCCK48eZayqsqq2lsHHjrFixQqv1t0e+sP4tpfe0Nrlh5s74uH/n//8h6ysLBYtWkRubi5jxoxh2rRpbTrvNjQ0kJqayrPPPtum86anbXY1QghKS0tP2ebrb+Tk5HDzzTezdetWXsk9YVwUVRWxbsc6bn3vVg5UHaC8oZyD1Qf5/Q+/5+ioo8gmGaleoqK6gpvfuZlFXyziqa+e4pN9nxBsCmZz8Wa34aJpGks/WUqxoZilnyx1/4HklORw89s3tzCITlfelfjK+IJvaYWO65UNBobfeCPj5s8n8cknkV56CcaM0Z3qDx3So39ZLPrRrkGDqEtIYL8sYzcYkJsif8nouVSQJN3/o7YWtbIStmyBW2+FWbNgxgzYvLnX9XYn1113HcXFxWRnZ7N+/Xp3+cUXX+z2TWkvdXV15OXluc9h79+/n7y8PIqLi3E4HFx33XVkZ2fzr3/9C1VVOXLkCEeOHMFut3epprboi99/d+FLWqH/6HWFH744LIzonTtpCAqi3mrFbjaDLFNtNDL2+HHuKCxkfHU1tzsc7Nq5k/z8/N7uerfSX8a3PfSG1g6HGe5KVqxYwV133cVtt90GwKpVq/joo49Ys2YNjz766Cn1x48fz/jx4wFafb0jbfppP65jWA/+4kFWv7KajRs3Uh9WT15qHmGWML7Y/wU5pbpxsL9qP0ZFjw6koNAgGlDCFQJsAWAEe52dYlMx/7fn/zhSd4TKxkosBgsOzcE9H97DyktXUrinkEK1EIMwUCgV8vpnr3PL1Fvcuy1BpiBeGfgKUlMUEVd5Q00DARsDmJc1j3PO8R8X89PDZGbC+edDfj5UVEBEBDz1FGzfDkLgdDiokySqzGbCVBVZCKyKQmPT+d4wVSXRbkfSNN1/JSpKN3C2b4e5c+GFFyAsTG87KgrS07vdob4nGTBgwCkLUB2JFJmdne1OAAknstXPnj2bJ598kg8++ADglFxUX3zxBVOmTPH48/z46Ze4wg/X1OAMDcWkqpgUBUlVQQhibDbibDaOGY2Mq69nhMnUwvHbjx9P6XUDxW63k5OTw4IFC9xlsiwzdepUvv322x5t0x868syOWkIIVmWvYmPhRuqO17Fr0y6MqUY2aBsIsAYwOmo0B6oPUGerw2wwE2wKZmjEUEwGEwW7C2iQGxCKQFZlJEUCK8gOGVmScagOgo3BqKjIyOwq38XGfRv5z6f/QZVUAkQA9ZZ65n0xjx+1H/lo70eYFBMbCzfyyc+fcFHyRWw7so1NRZsItYTyxb4vkLZLBK0K4q9//Su5R3JZ+f1K5k2aR0Zcy5sRT53PPA2T6c1Ogv7QkZ3UdPbZJ8rnzUPMmQMHDmAKCsIASKqKBDgkiRJXmGFNY6DVilHviH70S1UhMBCSkvQoYrNm6aGJ7XasQlCbkEDV7beTcsstLRJpnWmcTp6zPBmnrtzuz8rKYsmSJQQFBbmNiLZYsWJFu9udMmXKaVf9fGH104+fTuN06jvBoaGYrVZCwR2CWBYCqSnEeqDTiV0Ifl1fT1RkZG/32o8X0+sGSnl5OaqqEhcX16I8Li6OgoKCHm3THzryzJp+qvqJL/d/SagllA37N6BN0pDDZRqDGjHW6TslQQRxvOE4kiQRZYrCKBupranleN1xpHAJDQ2n5MQojJgUE7bjNnYadhJoCiQ5KJmg4CBqrDUcOH6A//3hf9nn3IdBNYAJkKBCqmDVD6uwY8ckm3AIB7Pfnc0Dwx/gh8ofqGmoIUwKo1atxXKuhU8/+5R//etfvKe9x+Zjmwk2BfPQ8Ieora1lV9Uu/ln4T+afP5+LR13c7nEaMWIEERERXhU68kya2rr20tPTCQsL85nQka6QiN0SOjIzk0OPPELw6tVY9u8nAWh0OKg2GEAIagBUlQBVxaBpeqhi9ISPWnEx4sgRlJAQpKoqhMNBlSRRXF8PjY1EHTqEmp1N1osvMmbOHMaOHevROO3YscNjTa55sSvYtm2bO9z1tm3b2qzX33LxSJJEVFRUv9PVGr6kFfqZXqMR1q6F6mpMmsay3/2OgoIC4uPjGVJfz7379hHkdGJAN1wudDiI7aFjkr1FvxrfM9AbWrs0ildHKCkpISEhgW+++cbtCAnw8MMP8/+z9+bxUVZn///73MssCdk3IKwCYd+EghvaVvsTWys+Wq3aVv3Wb7VUbRHU31O1tlYsbcWt1hbQqrV9fLRoizsKVBYFLQmbIgE0QIDsk2Qms97b+f4xZCQkQYJAtnn7ygtz5p475zPnnuWac12fa82aNXz44YdHvf+QIUOYM2cOc+bM+dLnPJHWkV803l12UDZXbWbh+oXcdsZtnN73dG564yZe2/UapmnSGG1ENVRUoWILG92vM3bUWFJSU9hUtQkpJWPzxyIQlO0pw2f7wA0SiWZpuMNuAKJOFCfbITslm3H54+JPAAmN0Ua2V2zHjtr0MfqAAEu1iOgRFJdCXloeilAIm2EMx2D21Nm8vut1UvSU+AcpfCiqglanUdinkHB+GLfmJkVL4ZlZzzC131RmvzmbV3a+wqyRs1jy7SVtPu7dYZ164rXXozU5DmzbxkerV/ObxYsRgQD3BwKkOQ4+VUU1DIbZNqqmoeg6ZGZCJBLfRQmHwbZxVJXdmkaDlOguF4oQ9I1G2aYoPDNgAD//8Y8Z/9Wvok6ejBTipGhq7mfR292rki5eSXob69at49Zbb8Xf2MjDoRBnNDVRpWn0j0bxOg6puo76zW/ivPQSu198kYy//AX/DTcw4qqrWuzwJun5dAkXL4i/8X/961+npOTYCpRzc3NRVZXq6uoW49XV1cfdvfh4z+l2u0lPT2/xA/E37Oaf5ieWoihtjjf/LoRg//79iXMffmzz7e2NCyGOeRxod/zIObY33p4mIQSLSxbz7z3/5qnNT7Fs5zJe2vESETNCOBZGWAKhCgQCT8yDY8VdHoQQqIqKJS1qQjX4Y37CThj0eHACYCs2pmpiqAYyTYIEy7YIm+H4jxUmEAxgCjPxNxSpoFs6ilCwpU2GkkFRbhET+04k15vL67teJ2pFETFBqCmEZsU3CO10m3JRTkOkAX/UT3mgnAfXP8imqk28t/89Mj2ZvLf/PYoritmyZQvXXnst/7v6f7l22bVsqtzU5jpJKdm3b1+rx74z1unIa++Lxjt67bWntTtrOto6SSnZv39/i9tPuCZdR50yhUnz5nHrX/5C7IwzuC83l49UlRTTJE/T0FQVNTUVMXIkoqgIMX48Ij8fISVoGqaUxBwHj8eDWwiEomCoKucaBgv37KHfvfeiXHMNXHYZ4r332p1782tVs97j0XSiufbaa3nmmWcoKys7KefvSjiOw969e3uNE1Bv0Qo9W++MGTN4/PHHuXzwYCYEAtRKieE4VKel4crLQ3W5sN96i8enTGHrT36Ctno1W3/yEy77r/9i3Qk0+ehMevL6HklnaD3h7y5PP/005557LjfffPMxHe9yuZgyZQqrVq1KjDmOw6pVq1rsfnSEk3HOjiKlxOfzdev85uKKYtaVryPDk8HafWt5esvTGLaBIhVoAm+TF0dxMHUTIQWKS6E+WI/P72NY1jAyPZlML5zOq1e9yqofruKFb77AM+c/wzPnP8OL33qR1695nVeueoUphVMYlDmIvD55NBlNBGIB/BE/+wP7QYJUJBYWJiYxNYajxZ8g+xvjtwsh8Ope9jTuwaN5qKyqRBqS1Fgq3pAXVahIIdEMDVVRUYTC1uqtLHhvAREzQqY7k0A0wJKSJSxavIgVK1fwwNsPtGl33OwQVlxR3O3X91jpCddyRzjVepttPO949VXUZcsw//Y3spctQznnnPjOSfM3TooCqamg60ggDFhuN7qUDA6HGRgKURCL4XIcbE1jn+MQ1vXPi+rb+VDQFdfX5XKxYMEChg8fzsCBA/n+97/PU089xe7duzt7aiecrvj4nyx6k1bo+XpnnHMODxYVMTAjg8GnncbY007jtMJC3IMHE/V6MQyDsTt38pVYjLDLxVdiMeTGjdx66609Ikjp6et7OJ2h9YTXoFx//fUA/OpXvzrm+8ydO5frrruOqVOnMm3aNB599FFCoVDCgevaa6+lsLCQBQsWALTIHTcMg4MHD7Jlyxb69OnD8OHDj+mcSVpTUlLCww8/zNy5czn99NNZuH4htaFaxuWPY2fdTtbvX8+QjCE0VjQSDUVR3Eo8gBASQzdAgGM7HKg7QL++/cj2ZhM0ggzNGkpRbhFnFJ3R5t+dMmYK/qi/xVg4FuZrC79GUInXA5iqiURie2ykkOCAIQ1CRggE1EfqsRyLmkAN4aYwqlvFURyEFFi6BQ44PofB+YNRXAoHmw7y7t53GZY1jOpQNQEjwPPbnscddKNP0imzyyigIGF3/JXCr7RwCEvRU7ip/01AvEfLPW/ew/xvzuf753//5C5Skh5Js41nC1JS4oHFvn2Qlxd38LIssCwcRaFCVRGKgteyEFKSYduoUmIDsUNduhtNEyM9nZSaGlwPPYQ4++xu4fT11FNPAXDw4EHWrl3LmjVreOihh7jpppvo168fBw4c6OQZJkmSBMtCHDyIKycHFyAti2gshrQs6iIRDEVh/KH+TpUeD/2iUf4v8NPGRh5++GHOPvvsZLpXknbpcICyb98+du7cyYQJE9pMl6qoqKB///4dOud3v/tdamtruffee6mqqmLSpEksX748UeReXl7e4iKuqKho0axr4cKFLFy4kPPOO4/Vq1cf0zmTtKT4YDFX/eMq6rfWoz6pknZJGq/veh1FUQgZIUzHJGgEUYRCxIzXgFjSQg/omCkmrloX6cXpuF1uBg0axJ9u/RO6ppPpyURX9aP+7fzUfPJT81uNr/vpOip8FYnfLcfilxt/SVU43kVa0zSazCaklITNMJrQaIo1IVWJ0OPF+I7iIJEIBI7tUFVZRdGIIkzHJGSG4vUwioau6PijfiIDImiDNUzNxBfwESHCk5ueZGr/qS12lNaVr2NG6gwmOhNb9Gi55mvXJK7VZjvmuWfOZUr/pM1xkg4yY0a8g/xDD0FpKdTVxQtVc3ORpkkoFEJ1HAK6Dod2UQAQgrxIhCBQvm8fCEGqlGSvWkXNs89y+g9/2KmyOkJWVhY5OTlkZWWRmZmJpmnk5eV19rSSJEkCLQrnARzb5rMdOwCYN28eExWFn1ZUEFJV0iwLSwgmNDZy7pAhfLhjB9u2bWv9xUySJIfoUIDyv//7v1x77bXYto3H42Hx4sX84Ac/oLy8nOeff55//etflJSUYFlWhydyyy23cMstt7R5W3PQ0cyQIUOOaZvpaOc82Qgh6NevX7dwd5BS8sDbD7BX2Yt+rs5LzkukbkvFljZ53jw0RUNKiRCCg00HyRuQ1yoPccBpA7jv+vvoV9CP7OzsE/IhYuyQsYwdMrbFWFu7LQC+sI+GcAO/vufX1OyNN+OUSOrG12Hn22gRDeEShM0wNaEaQmYIgKpgFSNzRpKpZPJR9Uc4Hgdbs1EchaiM4rE8rCtfx8aDG3lq81NUB6vJS8mjIdLA0oNLCa8It+rRct03rmux23J4n5buSHe6lk8EXUrvkb1UcnLA70f76U8Zsns3lbEYeDxoh14PDSGIKQrCthkEHNB1pKpi2TZONMqiBx7gByNGMGPGjMSf6FJ6D3HXXXexevVqNm/ezOjRoznvvPP47//+b84999zjagbclemKj//JojdphV6iNz8//gMIxyE7PZ3t27ezy3G4ORJBO9THqSAWQ0pJTFW5vKGBdR5Pt++T0ivW9xCdobVDLl5jxoxh5syZ3HDDDdx1112sWrWK2267jd/+9rcMGzaM888/nwsuuID/+q//OplzPmX0FmeWDw58wPmLzyciIwhFIJoEaprKsIJhFPSJ7zgZtkFjtJGoFeX3F/yeCQUTWpwj05NJXmrnf7NZU1OD/9C3OaZjMnvNbA6EPk8HEUJQF60jaATRVR236qYop4i9e/fS0NiAkx0PvFJCKcScGGmpaaTlpTG572S2126nMliJpmhYjoVlW0hDEnNi6LaOLW2KnCK2/3Y7JZUlXLvsWmzHRlVUnrv0Ob5SGG8uWlJRwt1v3I3YIJh/8/xkE8kkHWfdOuruuoumjRtRbRtNUci0LKp0nYOmyXDHIVVVqXe7aXC58Ng2qZbFjzMzcU+fzssvv3xCUitO1mukoijk5eVx2223cdlll1FUVHTCzn0y6C3vFUmSHAtbtmxh/qxZPFhTg6FphFWVvtEofWwbKSUNmsa8ggLueeWV5A5KL+CUuHh99tln/OxnP2Ps2LE88cQThMNh3n//fbZt20ZpaSlPPPFEjwlOviy2bbN79+5WtqedTXORd0lF3GVNSslvlv+GCBGEFEgkiq5gx2wUU0m4almORR9XH6JWlLc/e5vh2cMZkTMi8ZPtye4SevPz8xkxYgQjRoxgzMgxLP3eUpZfuzzx8+o1rzKxYCKDMwbTv09/8lLzqPHX4I/6EakCqcTTwVSp4rbdRBuieBwP7+59l0AswKD0QeR4c0h3pWPZFjERQyCQqkSVKmV2Gc+tfI4/F/+ZA4EDOI5DQ6SBJzY+gZQy3uiyZBFr9q9hdXA1ixYvQkrZal26El31Wj5ZdAu9M2aQu2YNDX/6E09Nm8bNffvyntuNbllIoNrjoc7joeFQ+lemYbAvJQVfYSE7DqVWNNMV9W7evJm7776b//znP5x99tkUFhZyzTXXsGTJEnbt2tXZ0zuhdMXH/2TRm7RC79U7dswYfiQEXtPEBtyOQ6OuYwOKlOQaBjcKwYRDTWy7K71pfTtDa4dSvEzTxOv1AjBgwAA8Hg8LFy5k9OjRJ2Vy3Z3DG8x1BQ5PO1IVlWdnPUtxRTFr965FCSm4NTdIiHqjiIiIF7tr/eCwHb10dzoHAwexHKtVbUlX0wtt17csvXJpIk1MSskvfvEL3l39Lta5Fk1aE66IC0taoIJpm1TXVxNyh9AULX4uEXeFq22oBQU8MQ8KCsIRRESEX/37Vyj94rG/L+rDciz+sf0f1EfqKcop4vVPXscO2zAAVny4go0bN/JU9VNdOh2sK67tyaRb6FUUTv/hD5l0/fVs27YNe/VqvA89xNDKSpo0jYCq4nEcMg2DkKry79RUxtfVUR4KUXuEBXtX0ztx4kQmTpzIT3/6UwC2bt3KI488ws0334zjOD3uA0FXe/xPJr1JK/ROvYrj8JW+ffFXVeGKRuP9nISgSVXJtm0U4CxVRSkuhj/8AebOhW6aSdCb1vdUa+1wkfzzzz/PzJkzGTVqFKqq9rh84J5McUUxa/etRQjBP3f8k8l9J7N2x1pCsRAey4MudSQSy7JI8aeQtSaL+Q/OZ8L41ulcX1T43pU5PGgxTZOmfU1ki2wOcAAlpmAph9VQeSEogkgpsRyLkBlCCEFtYy2miHe9tnUbV9iFQKALnf3u/WSGMxmWNYyQGaIp1kRjtJGNBzdSfLCYmnANwhZobg3fYB8P/PUBdo3elSi+b3YNg2ShfZIvJuEANmkSu9PT2feznzHcssg8VJRapaqkRaNcvX8/upQYQO33vsfWX/2KiZ1Uo/dFSCnZvHkzq1evZvXq1bz33nsEAgEmTJjAeeed19nTS5IkydHQdbJffZXPVq7k6aefpqysDNM00XWdmVlZ3BCJkJ6ZiZw/H+v996lpbKR2/nwmTJyYdPVKkqBDAcqMGTP45S9/ybx588jKyiIajfLYY49x1llnMW7cOIqKitC0E+5cnOQEIKVkwXsL2B/Yj67oWI7FopJFVFdVQyT+Icd24t9KalGNaGaUJrOJt59/m8sWX9blvtE/Uei6zrPPPovf78cX9dFkNLW43XIs7t98P9WRahRFocloQjqSA4EDIIjbGAsLi0NBjQKO5hCKhMjql0WWNx7AN0QaqApWEYqFwAC340YxFYz+Bu9E30E0CAZkDMAf9bNk0xKm9p8K0KLQ/saKG3nkkUeYO3dusm4lSZsMu/567nzlFWIbNzIqL4+0+np+euAAKUA1sB9IUVUGNzYSvuMOtgLjZs/u3Em3QXZ2NsFgkIkTJ3Leeefxox/9iBkzZpCZmdnZU0uSJMmxkJ/PV665hilXXcW2bdvw+Xzk5OQwYcIElD//maY//AFz0yb8joP9zjvM//hjrMmTmTdvXgsTjyS9lw5FE2vWrAFg9+7dlJSUsGnTJjZt2sRzzz1HY2MjLpeLoqKiFvnNvRUhBIMHD+60D/YlJSXc88Q9yDMlP///fs7S7UtZ/ulyVEXFpbrIS8mjOlhNmLg9rynNz+9sgekyMcebHDh4AMuy0PWj75h0tt4vQ35+frx2hRFt3n6kc1hzj5YmpQlxKP/t8D4tALZjEzJCCCV+u0t10WQ0YRgGWoOG7tHBBumVRL1RNEujNlyLJS1e+PgFXKqLiQUTWbNvTXxnZd86apfXsn7lelJTU7nxlzfyyAePnJKdle68tsdDd9arKApzb7+dW2+9lR0NDfyxqgoTiAEZgE9RcLxe6hSF3FCIht/8BnnjjV1G769//Wtuv/12/v73vzNjxoxeUXDena+3jtKbtEJSL7Td42nd6NHEqqoYZVn4vF4KTZPvhcPM3bKFW2+9lccff7xbBCm9aX07Q2uHXLyOxp49eyguLmbz5s385je/ORGn7HS6qzOLlJIbb7qRvzf+HWeUQ9+svpiOSX2kngFpA+ifHu9Ts7FiIy7FRa47t0WdSTMD+wzk+W8/T/++Hetr0xvYvnd7ix4t0LJPi6ZpuHV34raIGeFg4CB2zCY1kIqmakgkodQQlmahBTXyC/KJyighM0SWJwshBA3RBqb2m8qntZ8S+ThC3od5qKrK6DtGs963nlmjZrH44njNSjIdLEkz69at46+33cYdJSX4gVwhyAYcVWV/aiqOEOiGQYppYv7tb4z87neP6++c6NdIVVWprKwkP791X6SuTHd9r0iS5FTjOA53fu1r/Hj9emy3m7Cuk2KaeByH34waxTsNDUyaNOmEOQ0m6XyO9/WxQzso9957L7NmzWozvWTo0KEMHTqUK664oiOn7LHYtk1paWmiVudUUlxczIrtK7Cn28iIpFKrxKW5OC3rtIRtMMCI7BGEzFCbtsHQMevgztTbGYwaOApCtNLbVp8WKSX3vHsPr9W/Bn6QmsTExFZtbNUGCY7qIBsl44vGUxOqoTpYTcyOkaqnoikaZsAklBsi9bxUAoEAB/YcoCD38073U/tPbbPvyuE7aQ9864HjClx629r2BL0zZswg5cor8W7ZQsDtplFRyIrF0KUkxbYJahqmpqEZBvV797J9+/YuofcEfV/WregJ19ux0pu0QlJvW2zbupVpW7eSoihUaxpv0haQAAAgAElEQVSa45BtGKjAxVVVbD7MabCrWxD3pvXtDK0dCk8PHDjARRddxIABA5g9ezZvvfUWhmGcrLl1e6LR6Cn5O4db1DqOw0NPP4RvsA/FpSCa4h3UpZSkudIStsFhM4xX97ZrGzwiZ0SH+5qcKr1dhbb05qfmt3och2YNJRANoBoqilvBVE0M1cDwGEghQYLUZXxdjHDcztmOIhCMzh1NU1MT4YYwwiWoza0lOjRKSISobqqm3F/O7Ddm8+D6B1m1Z1WLQnspJYsWL2J1cDVr9q9hUcmiFh8A27I2LqkoYeaTM7nohxdRUvL5eHJtux99Bg/GUhS8gDjUiwDAfcgBSz9URJ8ycGCX0tsb0iWOpCs9/ieb3qQVknqPxFi/ntNDIQK6DkKQZll4pMTlOJze0MAky8IwjG7TxLE3re+p1tqhHZSnn34ax3F4//33ee2115gzZw6VlZV84xvfYNasWVx88cVkZ2efrLkmaYPDrYM1RUMEBa9or+AUOrhMF1KXRKwIhmpQHarGq3tb3P9otsFJTgy6qvPcZc9RNr2MpqZ4Ef7h6WAAilDQNZ0ms4mIGcFyLDyaB1VRqaiswHEcXJYLw2WACsIUmMLE5XaxvWY7v2/8PZZjManvJPY27mXJpiW89Z+3eO3ga1ijLERIsGLnCopPjzuEtdXpHkj0aCEIixYvYsniJQDsaNzBwn8t5Pazbk+mj3UTRlx+Of+ZM4fC2lrqNI2oqpJuWXgcBxyHjFiMg/n5TLn8crZ9/HFnTzdBUVHRFwYp9fX1p2g2SZIkOWFIyWn//je2lNQQ/7IkrCj0EQKPlOQYBt/bs4dvOw4DjrBCT9L76LDllqIozJgxgxkzZvD73/+eHTt28Nprr7F48WJuvPFGpk2bxiWXXMLVV19NYWHhyZhzkkOUlJRw9xN3s3PMTlyai3+W/hNX0IXhNVA1FTWsggpqg4qeozOtcBrzvza/1Zt/d7cN7g7kp+aTX9Qyr769dLBfvPsLVu9dzYD0AdQ11tHQ1IDqVhFSYOvxlLCUQAqO41A4rJAqo4qgEaQwrRAhBDkpOby7510aqhtoHNuI9EikJTnYdJDrl13PVeOuIi81j3Xl68jwZLB231pWlq0k3Z3Oip0rsEOf92gpLi5m8uTJvFz+Mu/XvU+aO61Fn5bmupeLMi/iraffSjqMdSEUTcN7992E77iD3FCIiMuFAdiOQ24oRFjX8d51F0oXc1687777yMjI6OxpJEmS5ERjWeSEwxz0evFGownznYim4TUMkJLJgQCOrmO+9BKr8vPJyc2NO38l61F6HcdVJL9+/XrS09MZN25ci/Ha2lpeffVVXn31VWbMmMHtt99+wibaGXyZwkcpJYFAgPT09JOSspAohA/8HafIwev1ErEi2AEbVai4bBeaHf/gYdkWpjDpO6gvS69emuixcaLnczL1djVOll7TNpn1wiz2NO4BCZVVlYSCITRdw1EcTLeJcASpgVRisRjZOdmYmSb+mJ8J+RNI96QjpWRH1Q4aqhuwU+y4k5gDjnBwuV2MyR9DH1cfyv3lDMkcwqf1n2I7NkIIagI1yIhEuASaT+Nc/Vxuuukmfr7q5yBAVVSeu/S5xC7MTa/fxCulr5Bdm43vrz4unXXpKXUYOxn0tGt56x//SOSBB8j3+dCkxBKCmtxcvHfdxcRbbvlSek90cbiiKFRVVfWqIvmedr0djd6kFZJ626Smho0rV3L//ffT1NREdnY2brebfL+fG/fsYeihGrmAEMzNyWFnejqjRo3qkvbDvWl9O+N94rgClMmTJ3PLLbdwww03tBj/7LPPyM/PJy0traOn7JJ0NWeWw12anIMOs+6ZRdXUKhCQ6k3FiTqErbhtsDvsbnFfwzDQc3Wu+co1LLl4SY9/MnVnakI1+KN+TMtk9o9nc+DAASSSuvF1hPPDaBEN4cTXT01RsdNsLGmRl5LHyJyRAGzbvY0G2YCGhjfsBRF3EtOyNcYOGIsv4iPLm0W6O53qYDVlDWVIKTFjJopU4v1ccND9OmOGj6HBaWBI5hDKGsrI8eZw05SbiDkxHvvgMcyYSU11DQXvF5DiT2nTYQySTSc7E8ey2P3yy4TKy0kdNIgRl19+QnZOki5ecbrae0WSJF2ddevW8dBDD1FaWophGLh0nb9XVzPO7ycqBIam8UFODvMHDKC2ro6MjIxuYz+cpCXH+/p4XHtmO3fu5Ktf/Wqr8ZUrV3L11Vcfzyl7HLZts3nzZuxDBalflsNrBhaVLGLxk4upH1oPKmCBJ+SJdzPXBI5wMFWzxY/wCoQhOOA/gOVYX/j3OsqJ1tvVOZl6mwvtxxSMYenipSx/fjmv//11Jp8xmcEFgykcUkj/0/rTb2g/1EwV0zHRFI2wGSZkhqhtrCUYDiJ1iRQSgUCRCm7hxm60Ka0tJWJFSHPFv0jIS8lDUzQcy0Fr1PDEPLhiLlRHxVZtdtfuxku8dilVT2WnbydLNi3hd+/9joqmCqpD1Zhek4azG6jrV8e7Ze+2KNaHltfv4pLFSCkpKSnhe9/7Hn9f9fdWxfqdSU+8lhVNY+R3v8vpd9zByMsvR2lsTNzWlfT2VhevrvL4n2x6k1ZI6j0aM2bM4J///CcvvPACTz75JMvuuYe+to1fUbB1Hb/LxUS/n9Mdh8GDB+P3+3n44YdxHOcUKDk2etP6dobW4/oKLT09nYaGhlbjM2bM4O677/7Sk+opnKgn0uG1JhmeDFbsXEFsfwzGgstwoYd1wlaY4SOGExMxwlaYOyffycjMkS3Ok56ezmn9Tztp9SZd6YXjVHAq9DY3kQRYOmBpi5oV0zaZ/cbseFd74ukxTbEmKuoqMD3xxpsOzudd7tVDDSTNEG7dnWgyGTSDmLaJ5Vh4dS+6Fb8+FFshkhIhakSR0fgHxyxvFr6ID8uxiFpRdOLXnhCCUGoIZ7yDETNIk2lUx6q5+c2buXvG3djSZu2+tYnAZePBjTy1+ClWrFzBpsJN1OfVt7BH7mx67LVcUgJ33QVDh8KiRYnhrqK3q8zjVNObdPcmrZDUezQSTRylpO473yEWjXLQ60XTNGygXzTKtyor2ZmWRl5eXpe0H+5N63uqtR7XDsrMmTNZuHBh65MpStJ2+ATTbBW7JriGqkC8GLrOX0fdqDqkLnEZLtDAFCaVdZVkpGZgKzbbwtu44PQL+MaUbyR+po+Y3mHr4CRdhyMtjMfkj2HplUtZ/v3lLP/+ct685k1evuJlJmyfgMfvQQ/pqDE1sYtmqAYyLW5rbNkWITNEyAix378fy7ZAgOk1af7PxsbRHBzh4KuLWz66NTcD0gdQ7i/HrbnpE+6D3qDjjXpRHIVYegwRFVRWVeJW3Xxc8zH3rbmPW968hX3+fYSMEDWhGua9No93N7yLZ6iHMrsMN+4WOy5tWiCXlHDRDy9i5pMzu8xuS7ejsBAMAz77LP5vL2Dt2rV8+9vfpn///gghWLZsWYvbpZTce++99OvXD6/XywUXXMDu3bs7abZJkvRCiovxbtyIT1FA07CFACHw6zrT6us50+djgmnyuwMHMDZs6OzZJjlFHFeAcv/997NmzRouv/xyPvroIyDuj/y73/2OCRNaN/xL0nGaP6D9bdXfeLPsTYzhBjEnhj/sJxqJ4qQ6CCmwNAtbs1G8Cv6on2p/dQvr4CQ9m1ZBS8EYXl78Mv+e/W/euPoN3rj6DV6/5nVev+Z1XrnqFaYUTmFQ5iDy+uTRZDQRiAUIm+FEao2t2C36tACgQsSOEDbi/XNidoyQGSISi+Bv9KOrOpqlxV3GFBtVU/E3+vE4HlL0FAKxAIFYIJ6GZoUxLIMNVRuoz6vHmmhhC5toQxR/1M8TG5/AcZxW6WDH09MlSRsUFEBmJlgWfPppZ8/mlBAKhZg4cSJPPPFEm7f//ve/5w9/+AOLFi3iww8/JDU1lQsvvLBX9TdIkqTTkBKefBI9GkUKgW5ZuG078ZNlGNyyaxff2bePc6JRTlu5Mn6fJD2e40rxGjhwIB988AGzZ89m4sSJuN1uLMsiIyOD11577UTPsVuiKApjxow5Zmu8kpISHn74YebOncvpp5/O4pLFrChbwYqGFfhO9yE1CSZY9RZKWAEVUhpTGLBrQCJVp6qqiulfnc79999PljfrlFoHd1Rvd6cr6z08LexI2rI29oV97K/ZTygYItWVSqYrs0WfFkUoaHkaTUYTEklVsAopJeFoGABFVYipMWw1boFse2ycsENDbQODBg2irLGMNHcagzMGE7Ei+AI+QuEQVpFFJD2Cy3TRGGtEi2j8Y/s/KK0t5bOGz1AVlbc/e5s3d79JXmMeK7avwJ5uQ4gv7OkihGjXArm9Yv3m8dvOuI1YNMYPfvADvnnDN3mr8a2eU9gvBIwaBR98AKWlcOga7qrX8ongoosu4qKLLmrzNikljz76KPfccw+zZs0C4LnnnqOgoIBly5Zx1VVXnfT59fTH/3B6k1ZI6j0mLAsOHEDPziYnEiF6mP2wAhiKQrptc05jI0Gvl4Lt26G4GL5y4t1IO0pvWt/O0HrcNi6DBw/mzTffpLy8nC1btqDrOtOnT082ajwMl8t1TMdJKVm8eDErV64kNTWVG+69gbc/fZtgLEhEjSA0gW7q6CGdSCgSf/JGINQnRMAI4K2PFzBnk02wPMjQjKGJJ/ip5Fj19hS6o9781HzyU1sGLyNyRnDGwDNaHdsczEgpcaSDIhQsx2L2G7PZH9hPdWU1ltfCwMD22EghwQFLsXC5XITNMFErSsgMoSkaXs2LV/NSW16L2qQSyg2hOApew4vpmDiGg9Ql22q24UgHj+ahMdrIj177EefvOh/fYB+KS8EJOVQHqvnte7/lz9/6M3sa9yR6ujSniU3tPzURtGyq3YRvpY/U1FQWLVrUZjBzeJCToqcgX5OsXLWSzQM2t1kf01aQU1JSwj1P3IM8U/LAtx7ougHN6NHxAGXHjsRQd7yWTwR79uyhqqqKCy64IDGWkZHB9OnT2bBhQ7sBSiwWIxaLJX4PBAJAvJC0uYhUCIGiKDiO02K3r3m8+TgpJaqq4jgOqqq2KkJVFAUhRJvj0DovvL1xVVXjz+U2xo+cY3vjx6rpi7RKKXuMpsPneKQmKSW6rrc5x+6q6WhzF0Kg6zq2bbeoJTyqJlVF/uUv4PdzsLiY+fPnEwwGyc7OxuVyoYZCzN+9m35Atq5DMIi9eDFbhMBXX09ubi6TJk1q9bicKE1ftE7Nz9lmvd1hnY732jsWrW1pOt7C+i/tMzlo0CAGDRr0ZU/T43Achy1btjBp0iRUVT3qscXFxaxbt46MjAzWrltLzds1NEYbMU2TQ5sjuGLxWhPVrZKSlsKAAQOojlQzffZ07p92f+KCyczM7JTgpCN6ewK9QW9zMGPbdgutS6+MF+v7fD6amppa7LYAKEJBzVURQlARrEBKieXEa17CoXC88aSuElNjCCkQCDyWB6fOIXdoLhXRCvJT8nFrbgKxAP6InxXlKzDHmuimTiwlRsyJ8cauN5jZOJPqUDWN0UYy3ZmEzBBLNi1BSsm68nUojsKn8lNyJuawassqHn3zUVbvXU2aO421+9ay8eBGpg2YRnFFcSLIWbFrBcZmA/dQN2V2GQUUJAKf9nZsgEQKGvthUckilvRb0mInp8vswoweHf+3tBToHddye1RVxa/ZgoKCFuMFBQWJ29piwYIF3Hfffa3Gt23bRp8+fQDIyclhyJAhlJeX4/P5Esf069eP/v37U1ZWlghsIJ6ZkJ+fT2lpaYv0suHDh5ORkcG2bdtafHAYM2YMLpeLLVu2tJjDpEmTMAyDTz75JDGmKAqTJ08mEAjw6WGpfR6Ph7Fjx1JfX8++ffsS4+np6YwYMYKqqioqKysT4x3VNHjwYHJzc1tpOu2008jKyupRmtpbJ4Dx48cn0uF7gqb21qktncekqaICAG30aK6+917+8Y9/sPXjj4n4fExxHFSXC6kouIUg1thI7f/8D/e98QYlioLX62XcuHFceeWVjBz5uTHQidJ0tHXy+/2UlZV1u3U6nmvP5/Oxf//+49IUDAY5Ho6rD0pv4ct42x/5oa49pJTcdNNNvPPOOwwZMoSdwZ1EZkbIzcqlvKIc22sjVYkr5kJxPo9Kmws6T8s8jWVXLev0TvDHqren0Jv0HovW5t4th3O4y5iiKGhCo7KqkmAwiEyVOJqDYil4Q/EdwJgRQ8vVMDSD/JR8RuWOQkpJcVkxsWAM1a3iiXowXAYxGUNJUchIzSBshlEVNW6VLB369enH6NzRbK7aTK2vljDhuDNZA2j5Go4rvjsTtaL8YOIPWPytxfz4jR+z9JOl6EKnIdSA43dw626irihexYueqnP5mMt56ttPUVxRzBVLr8C0TTRV48ELHiStIY0f//zHVE6rBAH9+/Vn6dVLmdp/aqKZZVt9Ye5+427EBsH8m+czZcqUxPhJDWiamuCSS+L//+qr2Ckpx30td7f+H0II/vWvf3HppZcC8abDZ599NhUVFfTr1y9x3JVXXokQghdffLHN87S1gzJw4EDq6+sTj8Oxfjtq2zYfffQREyZMSHz7fDg9aQelWevEiRPjTk09QNPhczxynQ7Xe6Q7YXfVdLS5SynZunUr48ePb/Fa0lFNQgi2bNlCXW0tkxctInfTJigsxCwtJdrYiCol/87J4fejRhEzDGpra0lPT+exxx5L9Ek5FbsNlmW10tsd1ul4rj3TNNm2bdsXam1LUyAQIDs7u8PvE1++U1eSL0Xz7klOTk7cRWm8SSgWQqvUEMH4N8um1ySl4fN6k86sNUmSpC3aSh0DErstQKLx5P6D+6maWoWVEjdxMNW4JTKpEBMxXIoLwzGQSILBIEbQwE6z0aM6AoHbcKPaKkbMIOaKkeZKY2DGQGxpYzs2taFa3t37Ln3dfTEjJqqu4mgOLo+LqBPFgwchBC7VxXvl7/G3bX9jXfk63KqbUCyEbdvINElURBGOIOpEkZZkffn6uD3y5qdojMb7iEQjUea8PQfH51B7Vi14QMYkdf66xE7Oqj2r8Ope1uxd02IXZlHJItbsXwPB+O7LksVLAFhcspi3dr3Fh+99yAvfe4GpU6e2CFqoJFGvRj86HsykpcHFF0Pfvr2+2LRv374AVFdXtwhQqqurj2pl6na7cbvdrcZVVW0V5LWXs93ece0FiSdiXAjR5nh7c+zo+LHO5fAUkS9znuZzdQVNxzPHjh7flTS1Nd78Abmt50FHNZ1++umwcWN8pzc3F+l286kQ5AmB7XIxIRxmbCSCFIIrwmEei8V47LHHOPfcc1uc82Q/n9rS29XX6WjjX7ROx6P1eL/ETQYonYiUkieffJJIJEJBQQFNaU2E88KIiCBoBNFUDUxQpNKi3qSza02SJDlWjgxcli5eit/vxxf10WQ0JcallDz60aNsrN1I/7T+aIpGxIywr2oflstCCompmSjGoRe9I3q6pLnSQMTPU9FUQcgMUddUhxJU8Hq8RL1RcIESVchwMhhZNBLHcdjn38dv3/stESvC0MyhfLbnM6L+KHaWHU89i3owTRO3cBOxIix4bwGldaVke7OxHRtd0fFH/JgRE9lHokgFoQksv8U7pe9QF6rDF45vc0etKN9Z+h0uHnExCFi2fRlWzEIMEKz4cAXFxcXQH9btW4cdstkr9/LAMw/w8ukvf14f40qB1+JNcVNSU+DbJFLNbqy4kUceeeTYApd58z7//17QZKw9hg4dSt++fVm1alUiIAkEAnz44YfMnj27k2eXJEkv5pC7F4EApKcTqqvDCIWo8XgQikKeYfCtigoQgikNDfwwI4Off/JJl+uTkuT4SQYoJ4nmBkRHczw4cveksl8lthb/0GPrNv0H9SfVmxp3TopUtag36axak/Y4Fr09id6k90RqbXYYG8GIFuOmbfLozkfJTc3FcIz4DoqUhO0w6MTdwQ5ZIANIJDK1ZU8XIeKBfcgMIR1Jo9WIV/eioKBaKtGUKK6Qi0BjgGBTkLT0NLy6l7LGMk7LPA0zYhJqCKG7dWxhI5EoKLgdN0a9gSfbw7t738WrexmZMzJeXO/EU9AkEpflwhVzIYXEMAxqA/GdnD6uPhi2gS3juzsbDmygKlhFfaQ+nr4pXPgG+1j85GJ2nbmLA/4DRKNRpFfyTvQd7njpDt6peAev7mXFzhWwPV7I/Xbp24gRIm4OsG8dtctrWb9yfavA5YuaX/b0azkYDLbIqd6zZw9btmwhOzubQYMGMWfOHObPn8+IESMYOnQov/jFL+jfv38iDexk09Mf/8PpTVohqfdLccjdi/R0CAQQoRB9bBtdUcC2CasqQ0MhCqNRwqrK6aEQo1yuFrUcJ5vetL6doTUZoJxEDMPA4/G0eVvz7kkgECA9PZ1QJERYC6OYCo7LwTZtagO1aCkaCMhOzSYoggwdNrTLpnQdTW9PpDfpPdladVXn2UufbW2B7PNRXldO2AwnLJCBRGF+TawGXdPjFsgyboFs2ibSkTiqg1QlBgamZiKR2K64BXJ5VTlD3EOoj9RjORa+iA9fow8DAw7JlEiirihuy41pm1TXVxNyxx3Jmq29j0xBU534VrbUJRErgmEYDMsaRronHduxKWsoI0VPwTRNRFSgSQ3d1jH7m7yx/Q2Cg4NEjSi2y0aognBumCc+fgJcxO8XNGEwTNYn88HED7CDNhl2BjErxl5lLxnjM3ij/A20Uq2Fq9lXCo+w5JQSamth5044++wefS0XFxfzta99LfH73LlzAbjuuut49tlnufPOOwmFQtx44400NjZyzjnnsHz58lP6ePTkx/9IepNWSOo9bnQdnn0W/PH3hH2ffMJtt91Gnz598Hq9ICX37thBimUhpcQQgmtCIXJOsZNsb1rfU601GaCcJBzH4ZNPPmm38NSyLA4cOEB6enrCpSHv/Twc/fPipIEDB/KnW/+ErsUDkkxPZpcNTr5Ib0+jN+k9VVrbtUAuam2BDK17ujQX5e8P7KeqqgrLtDDVQ4FJc48WxUb36oTtMP6Yn7AZjjeQNMNgg/AKLNVC0rJxJV4IimALRzKBaDcFzXbZOJqDcASVwUrS3emoikp+aj4f13yMETZQ/SpeT9wgwPAY1I2qQw2riHC8Pkaogpgew8AgXUlHlSphfxj6Q41Tg9PHQdoS0zYxTAM7w6ZpYhNRNQpBmJw+mbpIHU9uehJRKRLpX1OmTAHThGuuAdvG+Z//4ZPKyh57LX/1q19tVbB6OEIIfv3rX/PrX//6FM7qc5KvJT2XpN4vSX5+/AcYNWwY3meeYdPWrQzOzmZUUxMptk1MUdClxHYczrJt+hvGl/+7x0hvWt/O0JoMUDoJXdd59tln8fv97R6TmZlJXl7eKZxVkiTdh7YCmiMtkJtpiDW02IVJT08nOzsbXzheC5PuTkeGJU1NTfgiPnaU7WDQoEGku9MTjSvv33w/1ZFqFEVJ7Ni0lYImkdgeO95lzIGwEU6koMXsGEEjiDQlKXpKYidGtVXMNBO7Mb4T40nxgAWWZmFhoYU0dEdHGhJSoHxQOZqtIRslerqOYRjIFIlUJbhAhAUYkJOS0yL9KzU1lcWLFyNcLhg2DHbtivdDycw8hSuXJEmSJB1DURTmzZvHrbfeyr69e/lZKITqOOxzuxkQjeKWkkxAPPUUW1wufPX15OTkMGHChF6RgtUTSQYoncjROn4nSZKk4zQHLSNyRnzxwdDmcbZts8Xb2nb3yB0baDsF7fC+MIqqtEpBcxwHKeLBhEk8oDE1M97o0g22aeMoDrZq46jxHdVGqxHNr+HSXdi2TTQliifiQdVUAvUBVEXFrbqJeWOojopoElRUVlA0ooiDDQd5t+ld0oam8aL5IuesOodrL7g23g9l1y7Ezp0wffqXeNSTJEmS5OQzY8YMHn/8cV655x4mfPABtUBESnxpaQy2bYRt0/C3v/H8669zViDAn/LysCdNYt68eQn74STdh2SAchLpbVF7Um/PpTdphbb1diQFra1gxrRNbnr9Jkp2lyTSz4DPU9AcQAfpkhiqgekycUQ8TcxWbBwZ7+TbXE9jaiZSkdjCBhU0RcNWbYQUuHU3/kY/gaYA/qCfWGEMNV0l2CfIgncW8P2vfx9l1Ch45RUoLUU588wT9+Al6TC96fnVm7RCUu+JZsY553BOURHmjh1EcnJQNY3UlBQilZU4Bw6QKiVzfT7cgAyFmLtlC7feeiuPP/74SQlSetP6nmqtXapR4xNPPMGDDz5IVVUVEydO5PHHH2fatGntHr906VJ+8YtfsHfvXkaMGMHvfvc7vvnNbyZuv/766/nrX//a4j4XXnghy5cvP6b5dLcmZEmSJOna1IRqKDtY1iL9DKAuVMeChxfgq/ChWRqqprboFWOZFkjQNA0rxUIqEuEIRJPAsR2EKhB9RIvml4Zh4EnzENSCSFUiEOgRHRxYMnMJ1xV9FXnddYQaG9l19dWkDhnCiMsvR9GO/Xur5GtknOTjkCTJKcI0YdYs2LMnMSSl5ODBg7jCYdKlBCGodblwhOA3o0bxTkMDkyZN4uWXX+5VAUVX4XhfH7vMDsqLL77I3LlzWbRoEdOnT+fRRx/lwgsvZOfOnW2mQa1fv56rr76aBQsWcPHFF/P8889z6aWXsmnTJsaNG5c4bubMmTzzzDOJ39tqrnUykFImHLqOZvHZU0jq7bn0Jq1wcvXmp+aTX9R2Wuf5o85vUZN2eK+YxsZGEJCZkZmop3Erbh554BGqqqpAhbrpdS2aXwqPIGJEEJZA9pHxtDJd4hgOv13xWyZ80siQDRvwmCZ9P/6YqKLwnzlz8N59NxNvueWE6k7SPr3p+dWbtEJS70nhCHcvgB3NDl8pKcypqqIoGKTO7aZfNMrFVVVsLixkx44dJ7xHSm9a387Q2mUClIcffpgf/ehH/J//838AWLRoEdk+u/cAACAASURBVG+88QZPP/00//3f/93q+Mcee4yZM2dyxx13AHD//fezYsUK/vjHP7Jo0aLEcW63O9Et+FTiOA6ffvppr3B3gKTenkxv0gqdp/fImrQje8W0xfnPfR7UHNn8cufOnTy48EHUfioVEyqwtPjOiyY0PjV28/Yjt3OzaWMLQVjTiKoqhbW1hO+4g62QDFJOEb3p+dWbtEJS70njMHcvgMrycnZJyTd0nUHhMI26DkIQUVUmNzQwqaCAlYZxwnuk9Kb17QytXSJAMQyDkpISfv7znyfGFEXhggsuYMOGDW3eZ8OGDQk/+2YuvPBCli1b1mJs9erV5Ofnk5WVxde//nXmz58fb4zYBrFYjFgslvi92f7Xtm3sQ92WhRAoihIvdD0sO655vPm45n8dJ543bh/RrVlRFIQQbY433+9YxlVVRUrZ5viRc2xv/Fg1HW28vf/vzpqa59jWOjWf81i1dgdN7c29Pa3dWdMXrdOReruqppycnMTr2XBleGJcSsk/Fv0Ds9okMjmCdCRqTMV22UghcYTNUxPg0lovqlAIAmgadZpGbihEwwMPYP7oR4l0r/Y0Hfn4JUmSJMmpJicnB7fLxUUHDuB2HOpdLjy2TU4shi4ll5aXszY3t93Pfkm6Jl0iQKmrq8O2bQoKClqMFxQUUFpa2uZ9qqqq2jy+qqoq8fvMmTO57LLLGDp0KJ999hl33XUXF110ERs2bGgzAlywYAH33Xdfq/Ft27bRp08fIP5EGDJkCOXl5S2i8X79+tG/f3/KysoSgQ1AQ0MD+fn5lJaWEo1GE+PDhw8nIyODbdu2tXiTHzNmDC6Xiy1btrSYw6RJkzAMg08++SQxpigKkydPJhAItOiU7PF4GDt2LPX19ezbty8xnp6ezogRI6iqqqKysjIx3lFNgwcPJjc3t5Wmwx+vnqKpvXUaOXIkAB999FGP0dTeOo0fP76V1u6u6Wjr1Fwf0qy3O2qyLCuurR/4M/2IsIineGnykG0xVAyCDf0F46sObdfbNkII/G43+T4fKx56iIILLzyqpubXxSRJkiTpLCZMmMDFffsyvqwMv9sNQmAKgaUoqLbNjIYGvjtqFONiMeovuohPL7kE15lnJi2Iuzhdoki+oqKCwsJC1q9fz5mHucnceeedrFmzhg8//LDVfVwuF3/961+5+uqrE2N/+tOfuO+++6iurm7z75SVlTFs2DBWrlzJ+eef3+r2tnZQBg4cSH19faKwpyM7KLt27WLkyJHout4rdlB27drF6NGjOZLuqql5ju3toJSWllJUVNQi2O3Omo62g9KW1u6s6WjrZFlWK73dUVN1dTVzVs1hTeUaCrwF2NJmf3A/WsyhoCJEbYbg3L0696z04DgStfmNWkpywmFq5s9n8u23H1VTU1MTWVlZvb44/MsUydu2TWlpKaNGjerxaSK9SSsk9Z4ypKTykktQly/noKKg6TqKEAjHoW8kQh8glJPDJo+HSZWVvOP1cl///owaPfpLWRD3pvX9Mlq7dZF8bm4uqqq2Ciyqq6vbrR/p27dvh44HOO2008jNzeXTTz9tM0Bxu91tFtGrqtpqQdqLug//QHN4sX57C3oixoUQbY63N8eOjh/LXI7Ue7znaaYraPqi8aPp7a6a2htvT2t31tTeuKZpbertbpryCvIIKkGyU7MxiVsaF6YXEmsKYHhCpBtQ08fBUgW6+HyuumliCUHakCFf+LqX/Pbxy6OqKmPHju3saZwSepNWSOo9ZVgW/WybcP/+5NXXEzMMpJQIIYimpNDHstDq65kqJX6Xi7Nsm+mqytqtW7+UBXFvWt/O0NolAhSXy8WUKVNYtWoVl156KRD/FnDVqlXc0k6h5plnnsmqVauYM2dOYmzFihUtdmCO5MCBA/h8Pvr163diBbSB4zjU19eTnZ3dK97Ek3p7Lr1JK/Qcvbqq8+ylz7bqx+LYFtvOPZeC+nosxYPuCKTjIBQFHIeMWIyD+flMu/zyTpp576KnXG/HQm/SCkm9p4xDzl4pfj8ex6G0tJTGxkYyMzMZXFTEvTfcwM0ffkguYDgODvCdxkb2jRjBvvJyHn74Yc4+++wOz7k3rW9naO0SAQrA3Llzue6665g6dSrTpk3j0UcfJRQKJVy9rr32WgoLC1mwYAEAP/vZzzjvvPN46KGH+Na3vsULL7xAcXExS5YsASAYDHLfffdx+eWX07dvXz777DPuvPNOhg8fzoWH8qpPJlJK9u3bR1ZW1kn/W12BpN6eS2/SCj1Lb1vNJQGqf3I7Bf//r0gxI/jdbmJC4LIsMmIxwrqO9667OtQPJcnx05Outy+iN2mFpN5TyiFnLwUYc6hGFGDLli3sOngQqeuYloWtKPg1jQmNjYwKBgnn5R23BXFvWt/O0NplQr7vfve7LFy4kHvvvZdJkyaxZcsWli9fniiELy8vb1GIetZZZ/H888+zZMkSJk6cyEsvvcSyZcsSqRmqqrJt2zYuueQSioqKuOGGG5gyZQrr1q07Zb1QkiRJkqQrEbNiXPPyNfwyYznv3Xoj/1fX+cwwyItGSTFNDubnE33wwaTFcJIkSXoEvro6Lq+vRwX2paRQ5fEQ1jTcjsO3KivxuN0UNTXRd948KCnp7OkmOYwu9RXZLbfc0m5K1+rVq1uNXXHFFVxxxRVtHu/1enn77bdP5PSSJEmSpFvj1ty4VBdIeCW8h81pafx93DgYN44RZ5zBtCuvTO6cJEmSpMcwoLqaIYZBg6ZhHFZT59c0zqmrY5eqMjAUImfzZuSiRWz9yU/w1deTk5OTdPnqZJLvRCeR3uZqk9Tbc+lNWqFn653UdxIf7/+YHeU7yMzM5KOKCqybb2bkpZei9HAnmq5KT77ejqQ3aYWk3k5FSopWr6ZeUSi3/h97bx4nRXX1/7+rqrdZe5h9YdiHVXAUlCAixpDHnRifuPz065JEjRExBp8kqIgbKvgo8QkxGlCDr0RDhChBBURxAYS4IDDEYR+GZZh965nu6a3q/v4oejZmkIFZu+/79ZrXTN+p6j6futV169S559wgdlWF46ug24UgJhjk9qIiVJuNQEoKpcuWMW/dOraqKna7nZEjR35nla9epbeL6W6t0jXsIjRNIycnJ+xLz4WQesOXSNIK4a/37LSzOVZ8DHecm8zMTLxeLx988IF8UthDhPv51pxI0gpSb48TDKIUFRGVmkqComDzeokKBIgJBhGGQTUQKwRxuk51SQk0NHCzx0N2//7Ex8ez43iVr40bN7b59r1ObxfSE1rliNRFGIbBsWPHImalZak3fIkkrRD+evVjOrU1tdAPdItOUlISH3/8MV9++WVPmxaRhPv51pxI0gpSb48Tqu710UdUvPYaz0+dyt0ZGfw0KYm7MzJYOmECIjkZnxDE6joxisIEt5vRHg8xMTEMHDiQ2tpaFi5c2KamXqe3C+kJrdJB6SKEEBQXF5+wsFu4IvWGL5GkFcJbrxCCt15/C6VOQbNouGPcxMbG4vF4eOWVV8JSc28nnM+31kSSVpB6ewWpqZCTw3k33cSL69ax4O23eXjpUhb885/89uyzUaxWDmgaQtOwCEGyz8dPjhxhuMvFnF27mBId3VjlqzW9Um8X0RNaZQ6KRCKRRAhff/01GzduJOGsBNy4qY+tJ742HqfTycaNG/n6668577zzetpMiUQi6XRUVW0qJfzVV7BpE77YWNzV1Ry128n0elENgzG1tdgNg7NcLjyqyiaHg8rKyp41PgKRERSJRCKJAIQQLFmyBJfLhbPWSXxxPLYyGx6PB03TqKurY8mSJRHxNFAikUQwQsCSJeByodrtRAmBMAzK7HbK7HYchkFuTQ31msbYmhrONQySkpJ62uqIQzooXYSiKCQlJaEcrxgR7ki94UskaYXw1RsMBjl69Cjx8fEYRwyi86LRj+q4XC68Xi9xcXEUFRURDAZ72tSIIlzPt7aIJK0g9fZagkE4ehTi44kJBEi2Wony+YjSdVTDwCIEViGotViI8/u5U1EwdJ3169ezffv2xjyMPqO3E+gJrYqQj8vaxeVy4XQ6qa2tjahSchKJJDwpKyujtra23f8nJCSQkpJyyu8XDtdIXdd57LHH+Nvf/kZJSQmZmZncfvvtzJkz55QH43A4DhJJRFFWBsevhV999RVPPvkkdXV1nOdw8KuiIhqAfn4/diHwWK3ck57eofLDkiZO9/ooIyhdhGEYFBYWRkR1B5B6w5lI0grhrTc1NZWcnBxycnIYPHQwPqePmugarFYrQ4cO7ZBzEi4sWLCAl156iT/+8Y/s2rWLBQsW8Oyzz7Jo0aJu+fxwPt9aE0laQert1RxPng8l0P9m8WKc48czoaICEQhQCdTb7ehAvN/PAzU1J5Qf/uyzz/qO3jOkJ/pWOihdhBCCysrKiJnPLfWGL5GkFSJH72eFnzFzzUyWbF0SEXrbY/PmzfzoRz/iyiuvZNCgQfzkJz/hv/7rv7qt7HKknG8QWVpB6u1LTJkyhbcfeojp/foRP2QIo8eMwRUdTaWmoasq59TXc11xMecYBks8HrLLyvj9739PeXl5n9TbUXqib2UVL4lEIolAzk4/G4CNBzay6sNVLJi+gNt+eFsPW9X9XHDBBSxevJi9e/cyfPhwduzYwaZNm1i4cGG7+/h8Pnw+X+Nrl8sFmNPFdF0HzDnbqqpiGEaLQT3UHtou9NswDDRNa3wdQlVVFEVpsz2036m0a5qGEKLN9tY2ttd+qpq+S2to33DQ1NzG1v3UXO+pau3tmk5me3v92ic0KQrKK69g9/uxp6Tg9njQ6+tx2+24gkGS/H5uPHyYA1VVjKiv52dOJ7Pz89m3bx9nn31279TUyd8naNm3p6qptV2ninRQJBKJJAJJjk4mMzaTL/Z/gTfWyzPrnuGWH9wScSvKz549G5fLxciRIxsdhKeeeoqbb7653X2eeeYZHn/88RPa8/LyiI2NBSApKYlBgwZx+PDhFiVKMzIyyMzMpKCgoNGxAaiuriY1NZXdu3fj9Xob24cNG4bT6SQvL6/FjcPo0aOx2Wxs3769hQ25ubn4/X7y8/Mb21RV5ZxzzsHlcrF///7GdofDwZgxY6iqquLQoUON7fHx8eTk5FBSUkJxcXFje0c1DRw4kOTk5BM01dXV0a9fv7DS1F4/gXkjuHPnzrDR1F4/jR07FqCF1j6jKScH+9Gj+Gw2KC8n0NBAjK5jU1X8qkqdpuHQdc6uqaHWYuFct5vhmkZtbW2j3l6nqRO/T9XV1UBT33ZEU319PaeDTJI/CWeS+GgYBiUlJaSnp0fEgC/1hi+RpBUiS++NS2/krQNvoQQULH4Liy9f3KEoSjgkhy9btozf/OY3/O///i9jxoxh+/bt3H///SxcuJDbbmv7WLQVQcnOzqaqqqrxOJzq01HDMCgtLSU9PR2LxRLWEZSQ1oyMjHajRX1NU3MbW/eTYRiUlZWRnp5Oa/qqppPZDlBSUkJqamqLa2ef0VRWhnH8RnzXrl3MmjWLuLg4oqKiEIbB3N27yfZ42B8TQ7LPx8aoKBKWLeOSH/ygUW+v00TnfJ+CwSAlJSWkpaWdVGtbmlwuF4mJiR0eJ6SDchLCYfCVSCSStjAMg4EPDeSo9SjWoBUjYJCj5vDt/G9P2TELh2tkdnY2s2fPZsaMGY1t8+bN429/+xu7d+8+pfcIh+MgkUiaMAyDa6+9lh07djBw4EBG1tXx4K5d+FQVt8WC1tBAos1G+rp1/CcqisrKSpKSkhg3blzYP9jqKLKKVy9D13X27dt32nPv+hpSb/gSSVohcvT+df1fKQ2UYvfYcbgd2II2CvQC/rr+rz1tWrfi8XhOuKFoPue6q4mU8w0iSytIvX0ZVVV54IEHcDqdHCos5NLDh7EZBi5Fwevz4bNYSAS+mD6dG66/nhduuYUjF13Eby65hI0bN/a0+Z1OT/StdFC6kOZzByMBqTd8iSStEP56DcNg/ofzMRQDu25HCIEVK7qim+0RUDYzxNVXX81TTz3F+++/T2FhIe+88w4LFy7kxz/+cbfZEO7nW3MiSStIvX2ZKVOmsGjRIv574EDGuVyUHy92EBsby8CkJAy3m3MqKrjZ5+NOIZjc0MCErVuZee+9YemkdHffyiR5iUQiiTD+uv6vFOgF2AwbCuZihAoKNt1GgTCjKJFS0WvRokU88sgj3HPPPZSVlZGZmckvfvEL5s6d29OmSSSSHmbKhRdy4fDhBHbtoiEpCc1iIToqyowmKApJwMxjx/BpGm6rlQt0nYHl5SxcuJDJkyfL6V5ngDxyEolEEkGEoidBLYgqVIIECSpBghx/rQUjKooSFxfHCy+8wKFDh2hoaODAgQPMmzcPm83W06ZJJJKeJhhEKSrClpSEE4gNBvGXl2PxePBZrbgVhWhdp5/fT4OqYjcMbg8E2JWfT15eXk9b36eREZQuQlEUBg4ciKIoPW1KtyD1hi+RpBXCX6/X76XCX4FFsxDQAiBAqAIDAxSw6BYqjUq8fi/RjuieNjfsCffzrTmRpBWk3rDAaoWlS6G2trHpm82befjhh8nIyGCIy8VvCwrQhCDD58OjaYx3uxlps+HfsgXx7LPsveoqjqal9ekk+p7oW+mgdBGqqpKcnNzTZnQbUm/4EklaIfz1Rjui+fT+TzlWeazdbfqn9JfOSTcR7udbcyJJK0i9YUNqqvlznGi3m+LYWNzA/1dXh0fTCCoKzmCQ6GAQVVW5qb6e+L//ndovvmDH6tX8LiEBu8PByJEjeeCBB5gyZUrP6TkNeqJv+54b10fQdZ1vv/02LKpZnAod1btnD9x3n/l7z5493HfffezZs6dFe3vb9wYiqX8jSStEht4xg8bww/E/5Ifjf8gluZeQ6cjkktxLGttGDRjV0yZGDJFwvoWIJK0g9YYr48aNY+TIkaQfPcpZ1dXUWiyUOxwccziostkoVhSm+HzE/fvfVBkG5/l8/LBfP+Lj49mxYwczZ87sc0n0PdG3MoLShTRf6TMSaE/vnj3w4oswYwaMGGG2rVsH774LOTkA63j33XfJyckBRjS2h7ZtvX3z9p4kkvo3krSC1CvpXiLp+EeSVpB6wxFVVXlg1ixKr7kGh99PfVQUtmAQvxB4dB1NVUnw+zEMg3qrFYuuc3VpKfuGDyd64EDi9u5F3HQTwRUr+I/d3mfWUOnuvpUOiqTLCTkXaWlw3XWgKLBypY+qKgsrVnjx+QooLz+XN988iKK4qax08M47QSZMsONyQXw8rF5tTgFdswYuuwyEgK1bDzF//kHmzx/A5ZcP6WmZEolEIpFIIoApkyZRmZND/c6dRPv9CMw8DbvNhtNuR/N6UYFow0AFLikro9RuZ2VmJj8LBBhdWsqaH/+Y38TF4fP7sdvtfXb6V1chHRRJp1FYaGfpUoV774WEBNOhUBTTuaipgWefNSMpPh/U1OiAn40brQjxNIqi8sUXBoriQwiFTz/VuPBC830VBWJjzZ+dO2H6dNA0KC11UlMzlFdfLWjhoLQVsZFIJBKJRCLpFKxWElaupGjzZlRVxeVykZCQwOARIyi7+27cGzdSGRVFvGEQ7/fjMAyuOXaMCyoqSG9owGUYjCwrY2JCAgezs/F6vY3TvxYtWiSdFKSD0mWoqsqwYcN6dbiuM9m3bx+///1/KCwczvDhNpYvh6oq0HUoKQG/HwIBqK83ox/gQNPcBIMBNC0IWFAUP0K4UdV+WCxWdB0MA1TVfB+3G1JTA1RVQXp6kIYGF8FgEh9/XM26dYUIIcjKiuWTT1K6fDpYJPVvJGkFqVfSvUTS8Y8krSD1hjtqejoDp00jPj6+qbrVV1+RcOgQ+61WvKqK32ql0mYj2efDGQiQ6fXi0HUMIKCq/KSmhoWpqcTExJCr61yxezcr585l8vr1veo49kTf9h71YYaiKDidzvAqt3ec5gnrpaWwdy+88caXfP31QMrLYeFCuPZaiIkxHZLkZLDZzNdRUWCxQFaWyvDhFmy2I1ittQwfPgeLpQ6rtZqxYzXGjLEyYIAZCcnIgPR0Myqzf7+f8nLBrl3leDzm8a2uHs5ll6VwxRVOzjvPw7vvNk0H27fPtK+0tHMT7cO5f1sTSVpB6pV0L5F0/CNJK0i94c4JeoWAJUuw+/1Yo6PRfD7swSA2w8BltRJUFCyGQQVQqqq47HbG1dQwoq4O1TC4uriYi/x+zt+2jeVvvcX69evZvn17r1iTqif6VjooXYSu62zbti0sq1mEckpWrHBx2WUNTJ0aYP78a/H5ziEY1Dl2zGD+/ADl5QEqK03HYuRIGD7czEPJzjYjI3V1GrqeRDAYoLq6mmAwQCCQTkWFheJis/z4kCEQHQ0ejxlJiYmxoigGhmHDZqvBZnOhqgGEcGAYTnS9Pxs3mtt++605Hezaa83cl5Dd69ad+TEI5/5tTSRpBalX0r1E0vGPJK0g9YY7J+gNBuHoUZT4eLLj4khQFGxeL1GBADGBAJphoBkGBwBPVBQeTcNuGPy/Q4eYt3MnE6qqcKkquS4Xf/3Vr7jjjju48cYbufbaa3u86ldP9K2c4tWF9Aav90wJ5XPccAOkpDTllFRXw5NP1iFEA4FAOkJYURQ/iuLCMHQqK2243VUkJ4/m2DFwOMDrNZ2NrCzTWbnoogYeeugbIIvZs29n/vwGYD9PP30BGzbYKCqC/v1NJyUrC66+Gt5918b27R62b/disdSjKDVYLBYaGlJJT3dSW2tDUczPS0kxIyeZmXDxxbBqVctE+wMHCnjllX8RFXUbc+Ykdng6WDj076kSSVpB6pV0L5F0/CNJK0i94U4Lvc0WdYwGKr76itdee42CggKGuN08WF2NPyoKazCIoqqgKNRarZxdU4OuKETpOsVCEA3c5vezaPhwBlVVce2HH/Kn/Hx49dUezU3p7r6VDorkpISiDqtXm9O0hICGBvOm/8CBdILBAOBDUWxERR1BUfz4/QKLJZGnnqrjgw+aOxdQVARLlpjTthTFyfXXTwMs2GwKd9whgFHYbFZuvtl8GGG1wsqV5rQwRYGrroK1a8u45hqdhoYkVDWAYVixWFw89ZSPBQv643CY22oaVFaadj//vBm1iY2FrVvN93G5nFRUXEt8vIXzz5cJ9RKJRCKRSM6AZos6npeTw/gbbyRvxw5S5swh5auvsAwahL5/Px63G7vNhq4o6IqCwzDwC4ET0IDvezx8Vl/PpdXVXBgI0FBczMLnn2fy5MkA5OXl9ZnyxKdLr1L04osvMmjQIBwOBxMnTuTLL7886fbLly9n5MiROBwOxo4dy+rVq1v8XwjB3LlzycjIICoqimnTprFv376ulNBnaSuvZN8+06koLzcjDxUV4HKB02lO1Ro0SCMlRcNuP4jFUoXfn0wwmIxhZJKRkc7ll09k5Ur4859NB+XPfzadjcxM04EAsNms2GzK8b8VbDYrYP7fav6J1dq0vaLAoEGxOJ1VDB++j9mzSxg+fB9OZxVpaebK12Vlpr1Hj5r5L3Fx5n4WC/j9BnV1OgcPGlRVGei6F5dLYcUKN+vWHWTz5opOz1eRSCQSiUQSeaiqSu5ZZ5ElBLakJNS6upbTv/x+NCFACPIBt7kTcYEAc/PzmVBVRb3FwveCQbRt21i6dCnXXnstT15zDXXTp/PkNdf0iilgXYEihFlTqaf5xz/+wa233srLL7/MxIkTeeGFF1i+fDl79uwh9bg32pzNmzdz0UUX8cwzz3DVVVfx5ptvsmDBAr755hvOOussABYsWMAzzzzD66+/zuDBg3nkkUfYuXMn+fn5OByO77TJ5XLhdDqpra0lPj6+Q3qEEHi9XhwOR59IGFu0yExunzULli+HY8dMZ6SurqmKlqKYUQibDcaNMyMcFRU+dP1WSkruwmotw2b7AF2/gtzcK1m+PIaUlK6x1+MJ4HBYUFUFwxB4vUHcbiu3335ixGbuXLj9dnPa1+7dR/B60zGfUfhRFAVVLT/+24fFAuPHD+G665qOx8yZJ35+X+vfMyGStILU2xHO5BoZTkTSWHEmRJJWkHrDnQ7pDT05Pc5Xx6d/WXbt4n/KynAD5YZBdFQU/YDUhgaiDYN6i4WDMTGke72sV1UeTU9H13V+7/FwcW0tnzqdzIqJwZmQ0KXliXtinOg1DsrEiRM577zz+OMf/wiYc92ys7OZOXMms2fPPmH7G264AbfbzXvvvdfY9r3vfY/c3FxefvllhBBkZmbywAMP8D//8z8A1NbWkpaWxtKlS7nxxhu/06YzHXQMw0BV1V73Rd2zZw8vvvgiN9xwHykpw1AUM1rwxRfmNCeLBXbsMEsDW63mtKhQonptrfm30xnKKQmSlfVLhg7VuOqqy1i9+n2Kio7xyitLyczsIu/kJAQCTdPBhDCdqMJCM1ne5QIhPJSX+wkGHWhaAEUR2O0H8PtVFCWD1NRoxo+PpbjYjCJNmgT/93/mezmd5nouL74I99wjyMnpnf3b2fTmc7krkHpPHemgmITrWNHZRJJWkHrDnTPVa+g6VddfT+xnn1GfkMDRo0fRLBY0VSUqGGRAQwN1xx0UeyBAksfDh1FRlPbvz3VHj6IABvD0yJGsq64mNzeX5bNn43rsMfZPn45t0qROm/7VE+NEr8hB8fv9bN26lQcffLCxTVVVpk2bxpYtW9rcZ8uWLcyaNatF26WXXsrKlSsBOHjwICUlJUybNq3x/06nk4kTJ7Jly5Y2HRSfz4fP52t87XK5ALN6QahygfmkXcUwDJr7dqH20Ha6rrNz507GjRuH1Wo9ofJBqJPbaocTk5Haa9c0rfHEad3e2kaA/fs17rqrgf37/8P770fhcAiCQfD5FDIzBQcPmjfypgYYPlwhLk4QCJg3/cOHC4YPV5g+XWHVKoOiIpU//3kRqakK//nPf3jppZcIBoMtNHe1pubtqmpGeUL9oWkGcXGCwYMVzcUoNgAAIABJREFUsrLgqqscvPmmn3ff3YFhZGCx1AEKZr5aMnV1CuvWCQzDzGHZtAkuvlghJkaQlgY/+Ylg1SqFIUMM3O7tjB07lv37NV56SeGXvxSMGtX5mkKc6rn3Xe0dPfeEEOzYsYOxY8eiaVpYaDrZuafr+gl6+7qmk/VTMBhk586djXo7oinSEmK7AsMw2L59O7m5uS2+X+FIJGkFqTfcOVO9qmGQ3NAAKSnYhcBrteL1erFaLCQGAhiAIgQKUBMIMAi4NBBAKSwkTteptliwCcH04mK29e/P1q+/Zs2Pf8wFZWUc2LSJxzMzGTlqFA888ACTJ08+o7yVnujbXuGgVFRUoOs6aWlpLdrT0tLYvXt3m/uUlJS0uX1JSUnj/0Nt7W3TmmeeeYbHH3/8hPa8vDxiY2MBSEpKYtCgQRw+fJjKysrGbTIyMsjMzKSgoKDRsQGorq4mNTWV3bt34/V6G9uHDRuG0+kkLy+vxSA/evRobDYb27dvb2FDbm4ufr+f/Pz8xjZVVTnnnHNwuVzs37+/sd3hcDBmzBiqqqo4dOgQQKOtGzfm8uWXaRjGFFJS1lNZeT1CqAwapBAdHUTXDfx+G+npPmprHVRWWqipCeD1QkyMzr33HuDii9NJSUlm8OBduN1eysrM6CWYNzK7du3qFk0A8fHx5OTkUFJSQnFxcWN763569FHT4cjMzGDUKDebNz9CcfEfCQQSMZP8HaSkBImP1ykpsQICw1AQQqWiQqGmRic6uoF//MOgqiqG1ath4EA7hw7tZf36frzzTjIORynz52c1aiostLN8eQo33FDJj388utM1hWjv3Bs4cCDJyclnfO6NHTsWgJ07d3Z5P3WXppOde3V1dS30hoOmU+mnnTt3dlhT6LookUgkkg7SrOqXAhR/9RVPPvkkmZWVzHG5KLPbqVNVGnw+VE3jsGGQLgR2wyCoKMQYBqoQfL+sjCOGweuVlYwE6i0WLtB1JmoaG3bs4LmbbsLr8/FydDTfKAp2u52RI0fywAMP9OoV63uFg9JbePDBB1tEZVwuF9nZ2YwbN64xLBUKbQ0YMIDs7OzGbUPtQ4YMAZoiKP369QNg5MiRLT4r5LmOGzeuzfbc3NwT2h0OxwntYN4otdVeXp7I0qWJXHed4KGHbqGmxkVR0Ty83pGo6v2UlRUCB9H1bAoKDjFu3Gji4szpTK+8ojJvnkr//nDFFRrvv69QVGRhypRRJCWZWkeNatIU0tvVmhITExuPaXPS09NbOKMn66fKykqGD08EvIwaZQXeY9euYYwYcQlPPGHjZz9TiY83IzG1teYUMSE0Dh+OJS4OBgyA/Hy49dYROBwWfD7T+fnPf7I5cACEcJCRkcumTQr//rfCpEkpLTTt2QNPP10D/IlHHrGQk5Nzxpqg6dxr3X6m517oiXnrCEpzTa3pjH7qSk0nO/fi4uKAE/X2ZU0n66f4+PgWEZSOaAo5cxKJRCI5DVpV/fpN//54br0Va1UV5UKgKAqJ0dH0S0iguKgIeyCAUBQORUURp+vEBgJEGwZjKyr4mWEQY7NRbreT3dDALZWV7EhN5epvv+VsIfh/ycmUjxyJ1+djx44d/OnnP2fEwIGkzp8P48f38IE4kV7hoCQnJ6NpGqWlpS3aS0tLSU9Pb3Of9PT0k24f+l1aWkpGRkaLbdoaqAHsdjt2u/2E9tC0h+a0Fxprb7v2QmKd0a4oSpvtH32k8t575roftbWvUV1toOsqqmogRDSGMRQhPIAFu30oJSUKXi/Ex0NKisa//hXK59D40Y+ayv52pu0d1dTece9Ie0pKCmvX/hUhLFitCnAvgUAQRbFSWGhOZSsqalq7JSMD0tIUSkrMtVXi4qCwUODxWPB4QNMUrFbYsMHMWbFazePXv785Xe6DDxSuuAKEUHA6NdavhzVrrIDOxInrGDFiRON6MzNmNJU77qjWruqP0BSjtr4HXdlPHbGxM9tDN+Ot9fZ1Te31U/NpbKG/T1VTOJa2lEgkkp5iyqRJiFGj8CkKsbqOpmmN96VC09D8fvyqil/TqLBYqLDZiPd6yfb56K8o1NlsRBkGdsPgwooK/lJZSbYQBICJLhcTXC629etH9IABTP/mG2yHDiFefhnx8svk7dzZq0oX9woHxWazMX78eNavX88111wDmPPd1q9fz7333tvmPpMmTWL9+vXcf//9jW0ffvghkyZNAmDw4MGkp6ezfv36RofE5XLxxRdf8Mtf/rKLFR0vLZeb2y0d3PzmNiHBfOqv6+baJbW1MGwY+P0OamsNDMONzVaFovjR9Vg07Rg5OU4mToxqUfkqIaGlM9K87G9P6+0MrC3ENJU3TkhovTBky0pgmmYWD8jKgkOHwG43nTjDMB246mrzWPl8ZgW0zExzRfsLLwRVDeJ0BklN1XG5FGAyK1b8gxEjClmzJoaVK/uRk2NpsR5LW47Lydq7gr7Wt2eK1CvpTiLp+EeSVpB6w50u0Wu1orz+Oo5mFb8AEALl7rup27CBY6qKFgyiKgqGENQEg4wEUBT2qioxhoHneKni4Zg1S71AVCDAQ7t388SoUfg1je8Fg1QLAe+9x7xLLuG90lJ8Pl+bU8B6om97hYMCMGvWLG677TYmTJjA+eefzwsvvIDb7eanP/0pALfeeitZWVk888wzAPzqV79i6tSpPP/881x55ZUsW7aMr7/+msWLFwPmE8P777+fefPmkZOT01hmODMzs9EJ6mr8fv8plTM+U0KLKebkwJtvwuHD5pP7+HjzBjmUH2LO1FHQ9VIUxYZhQP/+D/P3vy9i1KicxoUQW0dKTpXu0tuVpKScuDBkqBIYmGurNEVWBKqqkJxslmKuq4PiYvP/ut60BgvAkSNmBKW0VGHvXg0IAN9j48ZzufJKL4ZhRVU9rFkTz2WXNVUNa963zR2RttqbOy1gVmqbMWMGMOKMnZlw6NuOIPVKupNIOv6RpBWk3nCnS/Q2m/bVSCBAqsOBJyuLflVV+Px+xPEpYMkWC1Zdx4957+u2WHBbLDg9Hvr7/ZQDQUUBVSUmGCQ2GGRSWRkOIagwDJJKS5lYV8eGUaNwpKbi9XrZsWMHM2fObFG6uLv7ttc4KDfccAPl5eXMnTuXkpIScnNzWbt2beM86MOHD7fw3C644ALefPNN5syZw0MPPUROTg4rV65sXAMF4Le//S1ut5u77rqLmpoaLrzwQtauXdstB9gwDPLz87us4kFpqRkdURQzUlJVZa5lYrGYN8qBgPm0PyXFvGEuLg4teKjjcAzGao1F12vIzs4mJSWhxUKIp+OcdLXe7qStyFHryMqqVYJvvnHjcsW2cFpSU+EPfzDLNoeiLZpmOosQpK4ODCOApqnoejQQQzAYwGp1k5WlsWMHnHtuU3nnpCRzgczly81ImKKYjksoOrZmDY0OzYoVTU4LrOPdd98lJycHGNGmk3OqUZhw6ttTQeqVdCeRdPwjSStIveFOt+o9nlAfXVuLwzDYvXs3NTU1JDidDH7jDVyrVnFECGyhReuEIEHXUQEFOKJpVMXEkOH1cllJCQM9HmpUlYzj21zh9bLH7WZ9bCznGAbXeTz8n8/HwoULmTx5MkKIbu/bXuOgANx7773tTun69NNPT2i77rrruO6669p9P0VReOKJJ3jiiSc6y8QeY8+ePcybtxy4hzlzErnzTtMpqa+HykpzitHhw+aTfJvN3Cc9vekGOToacnJUhg2LZfp0lffeUzh61MErr/yJlJTT8EgijNaRlcsvF3z0UQF/+MNY+vdXWkwHC5X5bhltgT/8wc4vfuGjqOgImmYhGEwgEOiHptUzYkQ0yclRHDtmOpOKYq47U1Zm9t+XX5rRHFU1r1OpqaZNW7aY08esVnC5DECwfLkXv7+A8vJzefPNg9hsbqqqHKxcGeSyy+wnjc6057QUFtpZulTB/Ho2RWdGdPX8MomkGygqKuJ3v/sda9aswePxMGzYMP7yl78wYcKEnjZNIpFITI5HVlRgdGjsDQRg8WJs6enElpaie71oFgsOIYg1DIKAHXDY7aAo1FosnFNTg09VOQrUqypDFIVYw+AXBw5gDwQYVV/P+OpqfuZ08mB+Pnl5eY3VPLuTXuWgSNpn3bp1rF4dBCycf76ZE/Hkk1BQYN7A2u2mEyIE9O9v3uQ2T/SOj4c//QlGjdJQFDMKEAwqrXIxJCejdWQlJSXI228Ljn/vG6eD1dS0nccSH29up+tJ6LoXMNC0IlRVRVWj8fvNKWEpKWbEpqLC7FdVBbfbdEJtNoiJMaeP6Xpo8cnQAxMdCLBpk4YQ/wsIvvgiiKZVoapeNm5M5JJL7Gga9OtnOrAni8I09z3+/e943n1XYfhwaB2dae3QdGd+jERyplRXVzN58mS+//3vs2bNGlJSUti3b1+bFdskEomkV9EsslJxfHX6ggMHmFlWxvdUlWq7HW8wiBYIYAEshkGUruMXAs1mw68oHHE4yPR6iQ8Gub6oiMRAgDqLhXPdbkbabC1Ky3cn0kHpQs40mai0tJQDB+qpr9dYvnw7LteNCGFh+XI3c+aUcc89Tn7960TsdkhLM28wXS5zitETT5x4g5ySwhlP5ToZkZIYF0JV1ePT5szXoWPaXh5LTQ0MHgyBwDeMGnUAuJq8PC8uVxxlZTbq601nMjGxaZpYfLz5PsGg6Uz8/vcwa5bplBqG6ahUV5ufq6oCr1cnGNQBFVUNoqoNKEoFVms0uh5LUZFpU0kJ7N5tOjyffQYXX2w6uJWV5nm0bJl5/miaac9nn0VTXW2wYoUXIbZTVZXMypVbKCu7gbffTiAtzcvDD5uho/byZvqS4xKJ53KksmDBArKzs/nLX/7S2DZ48OButSGSjn8kaQWpN9zpFXqPR1bOy8lh/I03krd1K/1nzCC2vJwku52Ghgaqqqrw+XwkB4MA2FWVIenpHCsuRtN1Kux2bLpOis+HJgR2RQFF4Sa3m6TERKD7tSqi9dLIkkZcLhdOp5Pa2trGdVC6iz174JJLVlBVNRLDsKPrDgwjESFA0xrQNBeqakFRBtCvX8tIyapVMGhQ0w2yEKef+C7pXAIBECKA1WoBFI4dE9xxhyA7W22zapjL1bJvQ45L8/ZQSlVyMgQCHvLzC4AEBg9eRGHhL4FaBg0aQW2tA5fLPA8aGszfFov5XopiOitxcaajUlwcsjXkgDVg1gHRABeaFgRqsFrr8XrHERe3j7feMuuoL1gA27bB974H//d/TQn/b70FCxeaDtbMmU3HpK3k/ssvv581a4b0CWcmkunJa2RnMXr0aC699FKOHj3KZ599RlZWFvfccw933nlnu/v4fD58Pl/j69CaWVVVVS3WzFJVFcMwaD7MhtpD5bu/q11VVRRFabMdaLGI58naNU1DCNFme2sb22uXmqQmqamPaCorQz2+TpVhGBiGwZ5vvyXzySeJqarCFhWF0DSKiorweb1YrVZshkFCIEBQUai1WqnRdRLsdjI/+gjOO++0NblcLhITEzs8TsgIShchhMDlchEfH9+4rkJHWLcOdP1K4uM3Ulk5BsNIRlWDQBBFqUdRohk61E5MDJx9NmdUIrgzOFO9fY3T1Wv2Q1NnZGUprFqltBltaWuaWP/+J7bv3Wv+7+hRjue2pKAoLmpqigkGAwiRjtutoiiQnW06OTNnmo4ImFGT8nJz2ldGhjl1rK7O/NF1MzJjvq8F8+FLKqCjaQ68Xg2w4nKdy+WXm++nKKaz9OWX8MMfNhUZSE4+cUpZ61yY0PSxY8f+m61bh5xyFKYzozPyXI4sCgoKeOmll5g1axYPPfQQX331Fffddx82m43bbrutzX2eeeYZHn/88RPa8/LyiI2NBSApKYlBgwZx+PDhFlMkMjIyyMzMpKCgAJfL1dg+YMAAUlJS2L17N16vt7F92LBhOJ1O8vLyWtwMjR49GpvNxvbt21vYkJubi9/vJz8/v7FNVVXOOeccXC4X+/fvb2x3OByMGTOGqqoqDh061NgeHx9PTk4OJSUlFBcXN7Z3VNPAgQNJTk6OaE3Z2dkkJiayY8eOsNHUXj+dffbZVFVVceTIkbDRFFb9NGQIR55/nrOys/EFAuzfv5/8/HyWLFmCx+3mMV1nnNvNYU3Dr+tYNI1Bdjvqq69SPngwh5v1a0c01dfXczrICMpJOJOng/n5+TzxxBPMnTuX0aNHn9I+zStz3X03bN4MDoeOx7OHQGAIFkstNlsZum6QmTmStWvtvSZSous627dvj5jqHd2hNxBou29btxcXw513mk7LRRfV8tBDm4EsZs+uYP78ZKCIp5++gA0bnO1GZ5pHYUJTylwueP55uO8+ATSgKCqHDpUCDuz2Cvz+RITwERWVjd+vEXqgbLeb7xcMmuvBWK1mNTKfz8ylEcJs0zSzUll8fICDB1VGjvQCT7F7927s9rkEg2PJzW1g/nwvSUnJJ43CLFp0Yntrp2XPnlOLzshz+dQJhwiKzWZjwoQJbN68ubHtvvvu46uvvmLLli1t7tOZERRd19m5cyfjxo3DarWG9RPfkNazzz4bi8USFpqa29i6n5rrbe3891VNJ7NdCMGOHTsYO3Zsi2tJX9Z0sn4KBoMn6O2LmjZu3Mi7c+dyzxdf4AYaNI3omBj69+9PgqKgNDQQfO01dths36lVRlD6AB9++CEbNmzgww8/PGUH5brrzMpcum4+EVdV8HgUgsFMhFAJBPphGF6gqUxyd0dKJN1He33buj0zs3nOi5Prr58GWLDZFO64QwCjsNms3Hxz+9GZ5lGY5lPKQtPAqqos2O1gGA4UxUVs7AIqKh7BYvEwdGgqqhpNWZl57sbGmvkxXq/5OjvbdL5jYsyqciHnR1FMh+XIEQMIsHWrFXj0eLuCqtaxaZPGlCkWkpLM6WfJyeZ35L33YMKEpvV+vqvs8ogRZqGJU4nO3H33iW1yqln4kpGRccI1etSoUfzzn/9sdx+73d64unNzNE07wclrb952e9u15yR2RruiKG22t2djR9tP1ZbQzXo4aTodGzu6fW/S1FZ76Aa5re9BX9V0svbm53Hz//c1TRdPncrUESMI7N5NQ1ISmsVCTHQ0is9nJrkGAqivvQa/+MVpaT3dB33SQelESktLqa2tRVEU1qxZQ319PWvXruWKK65ACIHT6Wxc16Ut5s6Fp56CgwfNqTx1dRAbq3PwoB+wcNZZbpKS3mXXrqEMHnwJCQndp03Su2nutNhs1mZ/K4SmlJ0sib95FObEKWWCUaNq+fGPLcyZ8w2QxX333cm8ebF4vf2oqrIRCJiOjdVqlr52OEwnxemEefPMvJm4ODOS4vWaDovTaTobMTGC+no3waAHIdIBsFhq0HX78ScxsVRUmA6IOY0N8vLgBz8wP8PUCVFRTWWXQ+sBgcFbbzWQllbJ66+XUFGRw2efReP366xY0cCECU3RmdBUs6FDFS680HzfjiT8ty4FLh2avsHkyZPZs2dPi7a9e/cycODAHrJIIpFIupFgEKWoCFtSErbjr6mpMW8CDMO8aSgqMp84diPSQelErrvuOqqqqtB1HY/HQ1paGvn5+UyfPh1N00hMTGTDhg3t7j9tGgwcCNOnmzdz/fpBMGhl0KBk/vlPhdGjY4EZBAJBFMXa66IlkbR6LPRtvSePwjTlwlit8Pbbgv37yxg1aiQ33mhGZ2prFT7+WJCZafCjH2m8+65Z8hrM6Exb68I0L3udlNS8UpmDYNAgP/8YhqEdf9LmIhiErKyh1NYqxMaaDorN1pTjYhjmtDEhzL/9/pZllzUNdN3Hli0ePv88BSHmHo/O+FHVajZtsjB1qvle8fHmNbimBv71L4Xo6CTKysxj8l15MyFHpHUp8O8qu9ybojN9+Vw+U379619zwQUX8PTTT3P99dfz5ZdfsnjxYhYvXtxtNkTS8Y8krSD1hjthofd4qWJqa1u2L18O//oXDBiA+MMfcFRVdatZ0kHpRObOnctTTz3FwYMHSUlJIS4ujrq6OioqKhg8eDAPP/zwKb9Xy6k2auONGSgtnpD3FjRNY8yYMT1tRrcRjnrbm1LmcGicdZapNRSqTUkxb+QtFq2FQwNtl1dub10YaEruDwTSCeW6BAIJaFoAt1slNbXtssuhcsy//KXZJoTpwFRXm78dDggENILBOrxeUBQ7iqIihIJhWFFVC8Ggk9JSM5JTWGjauHmzwuefD8IwTMenXz8zH+yCC8xpl6FIUE0NrFzpIzW1BLdb4403CnC5rgAUVqxwM2JEGbGxcXzySXKbUZiORGfWrClg9uzDzJ8/gMsvH9Kp/R6O53JHOO+883jnnXd48MEHeeKJJxg8eDAvvPACN998c7d8fiQd/0jSClJvuBNWeo+XKm7BvffC558jKiooWLuWkgEDCAQCjBs3rltKDksHpROZNm0aAwcObIyYeDweNE0jKiqKxYsXH1/Y7uQkJLR9M9fbp3MZhkFVVRWJiYm9oy54FxNJetvT+l35T6eyLkzoXL/oogYeeugbdH0AKSmp+Hy7iIn5hFGjfktVlaWFM9M8RyZkRyjh32Ixc14glPBvo74+g927jzF48O8pLJwNBDAMg7S0bOrqFGJiaCy/nJICmiYIFWCx2RR0vWlRTEVpmmqWlQWff17NJ5+kIoQFeA5F8aEoXjZutHL55QlomsBmM+1as8bMm6muNqMwbeXNtBedefXVI+TnD+XVVwtaOCgdic60t+3q1Qf47W8LefbZQVxxxdDTO0n6OFdddRVXXXVVj3y2vJaEL1JveBP2euPj2XvWWfhee42SmTNxC8GLyckY55zDAw88wJQpU7r046WD0kUcPXoURVEQQnSoakF7N3O9bTpXa4QQHDp0KGJWX44kvZ2htS1npuW53pTcb07xSkbXJ2GxWM+o7LLDAfX15oeXl1dgGD50PRpNC+D3q2RktIzOaJr5MMDj8aFpduLiTJt9PrMcc2iqmd1uPmzStCgKCxsIBh0IYUVVBWDBMKIQQiVU3CQtDfLzzbyZYNB0eOx282fTJnPNGFU133/QIPMz3nrLh9VaTjCo8vHHTnQ9ls8+i+bDDwsxDEFWViyffJJyytGZ9iI2r756hN27c3j11YKIdVB6EnktCV+k3vAm3PVu3LiR2atXM6+ujlzDwG4YCI+HWdu3M3PmTBYtWtSlTop0UDqZhIQEhgwZQmZmJqNHjyY/P59jx46R0IEQiKzMJYkU2kvuBwVVtTZuczLH/bsS/t96K8AHH1QxdWoOBw/G4nbv+c7oTCiHpbq6qS0traUzo6rQr58TXffh8/2Kioo5qKoPEPj9sahqKlFRKjEx5r5+v7lAZqgkfKiwiRDm5yiKmdjv9Zo5QZ9/rrBpUxrm4phpqGoDlZWjufRSHUUx0DQfkyY1RWEGDzajJElJZgWz6mqzLHNWlnl83nmnadshQyopKfEQFyfYsCEGXY9jw4aYFs7PWWeldHHvSyQSiaQ3YhgGzz//PEV1dRxNS2PS0aMEgHPdbv4rO5t11dUsXLiQyZMnd1n0SDoonUxKSgorV65EURR27NjBzJkzEUJglV6GRHJGnF7ZZbjqqigaGnKJippAMKigaaknjc6sWiXIy/MTF2djyBCl3byZ5mvIqKofXW8gGIwDfIBCenoQq9VGcnKTw5OYaOYi/upXZtUxRTGjM+Xl5ntXV5uRmcREyMz0c+yYHSEEiuJHVcXxvJgYhABNi2PvXlNvfj7893+ba+SEjo2mweefmz9gHo/hw81tr746DiH6AQJFScZqPUJ1dQZXXeVDUQzs9mPU1koHRSKRSCKRvLw8du/eTWpKCilHjiCAMquVGMPgqpIStmVlsWvXLvLy8sjNze0SG6SD0gWEFtsKrcxssUTGYe6rC7WdLpGkt69pbe20REdbm7WfPDpz+eWCvXtLGTIkBrv9uxP+CwrA77cADYwaZQPMUuD9+/+A8vIT82YsFtN5qKhoak9JaYrOOBxmtCUrKxZV9VNSUoTV6kZRwDCs+HwJDBgQR329vdGZcTjM6IjHY0Z2HA7zM4Qw3x8gPd38HIfD/Gy32wAMVNWPw1FPMBjE73cSG1vOQw/J9Xu7k772/ToTIkkrSL3hTrjqraysxOfzkRsVxSiXi8NRUdSrKkHDYFxNDblpaXzk9zeuFt8VRMadcw+gadopJcWHC1Jv+BIJWps7NBaLxujRLfWePOHfDryIEBasVoVQKfCKCutJ1pY5eVWzkOMSmgbm9SagqgEMw4rFUsujj3pZsKB/ozOjaaYD0la1s4oK01FJTm7aNivLxsyZx5g1y4/V2oAQFlRVoGk+li/vxw9/OKg7DruEyPh+hYgkrSD1hjvhrDcpKQm7zcblR49iNwyqbDZURcGjqji9Xi4/epQNiYkkJSV1mQ3SQekiDMOgpKSE9PT08Kzu0AqpN3yJJK3w3XrbnmrWMn/GZrOedG2Z76pqFnJcdu8WeDyVpKTU8ZOfOFixwktlZRRpaWYye1tVzVq3Oxzm5zRfhyY+HmJjDRRFx+tNQFH8CGHDYvF0yTGVtE8kfb8iSStIveFOOOsdN24cV6WnM7aggNrjUwkMw0BVVWotFsbW1HD1mDGMGzeuy2yQDkoXIYSguLj4pCvHhxNSb/gSSVqhc/Weat7MyaIzgcBZOBwWVFXh8ccFXm8Qt9t6ylXN2ltAMycnCqezmMTEIi68sJpNm/pRVRVF//6Dz1i35NSJpO9XJGkFqTfcCWe9qqLwQHw8GlAUCGCB4/mQCp5AgCxgVlwcqrlAX5cgHRSJRCLpJbTluDQvsKGqCtHRVqKjOxadgba2TaKwMB6rVSEvbwcvvXQ2gYBozNeRSCQSSYQSDJKh63gyM0mpqsLn82EIgaoo2O12YhMTiTaMLl0HQzooEolE0gfpSHSmOc3boqPNgh4Qcn7kkCCRSCQRj9UKS5cSXVuLwzDIz88nLy+PceOESjukAAANSklEQVTGMXj0aHNKW0JCl66DIUejLkJRFJKSklC6MPzVm5B6w5dI0gpSr6R7iaTjH0laQeoNd8Jeb2oqpKaiAqNzcog95xwGDBjQbfk2ihBC1pNsB5fLhdPppLa2NmxLyUkkEsnpIq+RJvI4SCQSSduc7vUxvMoO9CIMw6CwsBDDMHralG5B6g1fIkkrSL2S7iWSjn8kaQWpN9yJJL09oVU6KF2EEILKykoiJUAl9YYvkaQVpF5J9xJJxz+StILUG+5Ekt6e0CodFIlEIpFIJBKJRNJrkEnyJyHkKbpcrg7vq+s69fX1uFwutNBy0GGM1Bu+RJJWkHo7QujaGAlPEE+GHCtOjUjSClJvuBNJentinJAOykmoq6sDIDs7u4ctkUgkkt5LXV0dTqezp83oMeRYIZFIJCeno+OErOJ1EgzD4NixY8TFxXW4jJzL5SI7O5sjR45ERFUXqTd8iSStIPV2BCEEdXV1ZGZmdlvpyd6IHCtOjUjSClJvuBNJentinJARlJOgqir9+/c/o/eIj48P+xO3OVJv+BJJWkHqPVUiOXISQo4VHSOStILUG+5Ekt7uHCci95GXRCKRSCQSiUQi6XVIB0UikUgkEolEIpH0GrTHHnvssZ42IlzRNI2LL74YiyUyZtJJveFLJGkFqVfSvUTS8Y8krSD1hjuRpLe7tcokeYlEIpFIJBKJRNJrkFO8JBKJRCKRSCQSSa9BOigSiUQikUgkEomk1yAdFIlEIpFIJBKJRNJrkA6KRCKRSCQSiUQi6TVIB+UMePHFFxk0aBAOh4OJEyfy5ZdfnnT75cuXM3LkSBwOB2PHjmX16tXdZGnn0BG9S5YsYcqUKfTr149+/foxbdq07zw+vYmO9m2IZcuWoSgK11xzTRdb2Ll0VG9NTQ0zZswgIyMDu93O8OHD+9T53FG9L7zwAiNGjCAqKors7Gx+/etf4/V6u8na02fDhg1cffXVZGZmoigKK1eu/M59Pv30U84991zsdjvDhg1j6dKlXW9oGCPHifAdJ0COFXKsaIkcKzoRITktli1bJmw2m3jttdfEt99+K+68806RkJAgSktL29z+888/F5qmiWeffVbk5+eLOXPmCKvVKnbu3NnNlp8eHdV70003iRdffFFs27ZN7Nq1S9x+++3C6XSKo0ePdrPlHaejWkMcPHhQZGVliSlTpogf/ehH3WTtmdNRvT6fT0yYMEFcccUVYtOmTeLgwYPi008/Fdu3b+9my0+Pjup94403hN1uF2+88YY4ePCg+OCDD0RGRob49a9/3c2Wd5zVq1eLhx9+WLz99tsCEO+8885Jty8oKBDR0dFi1qxZIj8/XyxatEhomibWrl3bTRaHF3KcCN9xQgg5VsixoiVyrOjcsUI6KKfJ+eefL2bMmNH4Wtd1kZmZKZ555pk2t7/++uvFlVde2aJt4sSJ4he/+EWX2tlZdFRva4LBoIiLixOvv/56V5nYaZyO1mAwKC644ALxyiuviNtuu61PDTod1fvSSy+JIUOGCL/f310mdiod1TtjxgxxySWXtGibNWuWmDx5cpfa2dmcyqDz29/+VowZM6ZF2w033CAuvfTSrjQtbJHjRPiOE0LIsUKOFS2RY0XnjhVyitdp4Pf72bp1K9OmTWtsU1WVadOmsWXLljb32bJlS4vtAS699NJ2t+9NnI7e1ng8HgKBAImJiV1lZqdwulqfeOIJUlNT+fnPf94dZnYap6N31apVTJo0iRkzZpCWlsZZZ53F008/ja7r3WX2aXM6ei+44AK2bt3aGNovKChg9erVXHHFFd1ic3fSl69TvQ05ToTvOAFyrAA5VrRGjhWde60K/6Uvu4CKigp0XSctLa1Fe1paGrt3725zn5KSkja3Lykp6TI7O4vT0dua3/3ud2RmZp5wQvc2Tkfrpk2bePXVV9m+fXt3mNipnI7egoICPv74Y26++WZWr17N/v37ueeeewgEAjz66KPdYfZpczp6b7rpJioqKrjwwgsRQhAMBrn77rt56KGHusPkbqW965TL5aKhoYGoqKgesqzvIccJk3AcJ0COFSHkWNGEHCs6d6yQERRJlzN//nyWLVvGO++8g8Ph6GlzOpW6ujpuueUWlixZQnJyck+b0y0YhkFqaiqLFy9m/Pjx3HDDDTz88MO8/PLLPW1al/Dpp5/y9NNP86c//YlvvvmGt99+m/fff58nn3yyp02TSMKGcB4nQI4VcqyQdBQZQTkNkpOT0TSN0tLSFu2lpaWkp6e3uU96enqHtu9NnI7eEM899xzz58/no48+Yty4cV1pZqfQUa0HDhygsLCQq6++urHNMAwALBYLe/bsYejQoV1r9BlwOn2bkZGB1WpF07TGtlGjRlFSUoLf78dms3WpzWfC6eh95JFHuOWWW7jjjjsAGDt2LG63m7vuuouHH34YVQ2f5zztXafi4+Nl9KSDyHHCJBzHCZBjRQg5VjQhx4rOHSvC52h1IzabjfHjx7N+/frGNsMwWL9+PZMmTWpzn0mTJrXYHuDDDz9sd/vexOnoBXj22Wd58sknWbt2LRMmTOgOU8+YjmodOXIkO3fuZPv27Y0/06dP5/vf/z7bt28nOzu7O83vMKfTt5MnT2b//v2NgyvA3r17ycjI6NUDDpyeXo/Hc8LAEhpwzXzC8KEvX6d6G3KcCN9xAuRYAXKsaI0cKzr5WtVp6fYRxrJly4TdbhdLly4V+fn54q677hIJCQmipKRECCHELbfcImbPnt24/eeffy4sFot47rnnxK5du8Sjjz7a58pHdkTv/Pnzhc1mEytWrBDFxcWNP3V1dT0l4ZTpqNbW9LXKLB3Ve/jwYREXFyfuvfdesWfPHvHee++J1NRUMW/evJ6S0CE6qvfRRx8VcXFx4u9//7soKCgQ69atE0OHDhXXX399T0k4Zerq6sS2bdvEtm3bBCAWLlwotm3bJg4dOiSEEGL27Nnilltuadw+VDryN7/5jdi1a5d48cUXZZnhM0COE+E7Tgghxwo5VsixoivHCumgnAGLFi0SAwYMEDabTZx//vni3//+d+P/pk6dKm677bYW27/11lti+PDhwmaziTFjxoj333+/my0+Mzqid+DAgQI44efRRx/tfsNPg472bXP62qAjRMf1bt68WUycOFHY7XYxZMgQ8dRTT4lgMNjNVp8+HdEbCATEY489JoYOHSocDofIzs4W99xzj6iuru4ByzvGJ5980ub3MKTvtttuE1OnTj1hn9zcXGGz2cSQIUPEX/7yl263O5yQ40T4jhNCyLFCjhW3Nb6WY8VfOtUmRYgwiztJJBKJRCKRSCSSPovMQZFIJBKJRCKRSCS9BumgSCQSiUQikUgkkl6DdFAkEolEIpFIJBJJr0E6KBKJRCKRSCQSiaTXIB0UiUQikUgkEolE0muQDopEIpFIJBKJRCLpNUgHRSKRSCQSiUQikfQapIMikUgkEolEIpFIeg3SQZFIJBKJRCKRSCS9BumgSCR9hJ/+9KfMmTOn8fXUqVNRFAVFUbDZbIwaNYo333yzBy2USCQSSU8jxwpJOCAdFImklxMMBtF1nffee4/p06cDIIRg27ZtPPfccxQXF7Nnzx4uu+wybr31Vg4ePNjDFkskEomku5FjhSSckA6KRNKLKCwsRFEU3nrrLaZMmYLdbmfVqlVs3rwZq9XKeeedB8C+ffuoq6vjsssuIz09ncGDB/Pzn/8cXdfZs2dPD6uQSCQSSVcixwpJuGPpaQMkEkkTO3bsAOD/b+f+XdKJ4ziOvyTUQhqEXJyK/AGHBkE4iFBgbXrObu1OLi6uEYRDm/Q/NIT1J7R2x93kJjccDU3a5BK2HQjf9Xt+uJ6P7fOGD7y3Fy8+x00mE93f3+vk5ESFQkF3d3fqdrtKpVKSJMdxlM/nZVmWJCkMQ43HY2WzWZ2dne1sfwDA/0dWIOkoKIBBPM9TLpfT8/Ozjo+Po/lsNtPj42N0dl1Xq9VKh4eH+vn50Xq91sHBgZ6enlQsFnewOQAgLmQFko5PvACD+L4v27a3Amc+n+vz81Ptdjuaua6rwWAgz/P0/v6uy8tLDYdD3d7exr80ACBWZAWSjoICGMTzPF1dXW3NXl9fdXNzo/39/Wjmuq6azaZKpZIuLi40nU718PCgIAjiXRgAEDuyAklHQQEM8f39rSAIdH5+vjWfzWbq9XrRebFYaLlcqlarRTPLsnR6esqvIwEg4cgK/AUUFMAQvu9rb29P9Xo9mn19fenj40OdTieaOY6jdDqtSqWydb/dbuvl5SW2fQEA8SMr8BdQUABD+L6varW69Tz/9vamRqOho6OjaOa6rsrlsjKZzNb96+trOY6jMAxj2xkAEC+yAn9BarPZbHa9BIB/s21brVZLo9Fo16sAAAxFViBpeEEBDNZqtdTv93e9BgDAYGQFkoYXFAAAAADG4AUFAAAAgDEoKAAAAACMQUEBAAAAYAwKCgAAAABjUFAAAAAAGIOCAgAAAMAYFBQAAAAAxqCgAAAAADAGBQUAAACAMSgoAAAAAIzxC3KnnwrnyAetAAAAAElFTkSuQmCC", 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", 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XmzZt8rXHx8fTo0cPtm/fTkFBga89UJm6du1Keno6W7ZsMSZT9+7diY+PZ/HixcTGxvoe25RMHo/Hl8ukTPU6dOhAbGwsy5cvNyZTr169SEtL8xtLqGfKzs7G5XL5XWMmZDrweqrPZlKm+lyxsbG43e6AZcrPzwfQsi+tpP7nHh8fH9CCVnp6OvHx8UY9wQdzs5maC8zNplyhx9RspuaCY5tNz3tax7F43gPmXgem5gJzsylX6DE1m6m5wNxsxzrX4T73sZyD3xYdYizL4s033+S88847rO2uv/565s+fz4IFCxr9/sEztOorhiUlJQGdoQUtfwf8odpD8V39yqRMyqRMyqRMzc3QSkpKoqysLKAvLEjLlJeXk5CQoJ+/iIjIcaDfu61LP38REZHj60h/954QM7Qas2TJEtLS0pr8fmRkJJGRkQ3aXS5Xg0pkUzcta6pieWC7x+OhoKCA1NTUFvU/VLtlWY22NzXGw21v6VgOzNXYvkIx04HjKSwsbJAtlDPVv3hcn6u+Mh7qmeod6XUWzJkAv2PW0uss2DOBN1dRUVGjuUI1U317S6+zUMoEDc/FQGUy6R1N4nWo/7dCmanZTM0F5mZTrtBjajZTc4HZ2SSwTD1XTM0F5mZTrtBjajZTc4G52YItV+uP4AhUVFSwZMkS31JHGzduZMmSJWzevBmAG2+8kcsvv9zX/+GHH+btt99m3bp1rFixguuuu445c+Zw7bXXtsr4D+Q4DgUFBQ3enR7qTM0F5mYzNReYm025Qo+p2UzNJYFn8rliajZTc4G52ZQr9JiazdRcYHY2CSxTzxVTc4G52ZQr9JiazdRcYG62YMsVkjO0vvnmG0477TTf11OnTgXg5z//OU8//TQFBQW+4hZATU0Nf/jDH9i2bRtt2rRhwIABfPzxx377EBERERERERERERERkeAUkgWt0aNHN1sRfPrpp/2+vuGGG7jhhhuO8ahERERERERERERERETkWAjJJQdNYlkWycnJvnupmMLUXGBuNlNzgbnZlCv0mJrN1FwSeCafK6ZmMzUXmJtNuUKPqdlMzQVmZ5PAMvVcMTUXmJtNuUKPqdlMzQXmZgu2XCpotTLbtsnKygqKG6oFkqm5wNxspuYCc7MpV+gxNZupuSTwTD5XTM1mai4wN5tyhR5Ts5maC8zOFgjTp08nKyuLqKgohg4dyldffdVs/1dffZXevXsTFRVF//79ef/99/2+f8UVV2BZlt/H+PHj/fqUlJRw2WWXER8fT9u2bbnyyiupqKgIeLbDZeq5YmouMDebcoUeU7OZmgvMzRZsuYJjFCcwj8dDfn4+Ho+ntYcSUKbmAnOzmZoLzM2mXKHH1Gym5pLAM/lcMTWbqbnA3GzKFXpMzWZqLjA729F65ZVXmDp1KrfeeiuLFi1i4MCBjBs3jh07djTa/4svvuCSSy7hyiuvZPHixZx33nmcd955rFixwq/f+PHjKSgo8H289NJLft+/7LLLyMvLY9asWbz33nt89tlnXH311ccsZ0uZeq6YmgvMzaZcocfUbKbmAnOzBVsuFbRameM4FBcXN3tPsFBkai4wN5upucDcbMoVekzNZmouCTyTzxVTs5maC8zNplyhx9RspuYCs7MdrQcffJDJkyczadIksrOzmTFjBm3atOGpp55qtP/f//53xo8fz/XXX0+fPn244447OOmkk3jsscf8+kVGRpKamur7SExM9H1v1apVfPjhhzz55JMMHTqUESNG8Oijj/Lyyy+zffv2Y5r3UEw9V0zNBeZmU67QY2o2U3OBudmCLVdYaw9ARERERERERERCW01NDd9++y033nijr822bcaOHcuCBQsa3WbBggVMnTrVr23cuHG89dZbfm1z586lffv2JCYmcvrpp3PnnXeSnJzs20fbtm0ZMmSIr//YsWOxbZuFCxfy4x//uMHjVldXU11d7fu6vLwcALfbjdvtBrz3DLFtG4/H4/ciXn17fb/m2pv6vP5nAzR4x3tT7S6XC8dxGm0/eIxNtQciE+Db1qRMtm1jWZavvf5fUzIdmMuUTPV5wHtONjbGUMxU73Cvs1DIZNt2o7lCPVP92FtynYVapvo80PR1dqSZDn7cllJBS0REREREREREjsquXbtwu9106NDBr71Dhw6sXr260W0KCwsb7V9YWOj7evz48UycOJEuXbqwfv16brrpJiZMmMCCBQtwuVwUFhbSvn17v32EhYWRlJTkt58DTZs2jdzc3Abty5YtIzY2FoDk5GSysrLYvHkzxcXFvj5paWmkp6ezYcMGXyEMoHPnzqSkpLB69Wqqqqoa3feBL/ZlZ2cTERHBkiVL/Prl5ORQU1PDypUrfW22bTNo0CDKy8tZt26drz0qKoq+fftSUlLCpk2bfO3x8fH06NGDwsJCCgoKfO2BytS1a1cA8vLyjMnUvXt3EhISyMvLA2D58uXGZDrw3Fu+fLlxmQCqqqqIjo42KlOvXr2A789FEzJlZ2fjcrka5Ar1TAdfT8uXLzcuE3gLXLW1tQHLtHbtWo6E5QTLXLEgV15eTkJCAmVlZcTHxwdsvx6Ph8LCQlJTU4PmxmqBYGouMDebqbnA3Gym5qrevp2ixYvpMGgQkenprT2cgDL1mB2rXMfqd6+0zLH4+Zt6DYC52UzNBeZmU67QY2o2U3MBlO3cwYaVK+ia3Y+Edu0PvUELmPC8Z/v27WRkZPDFF18wbNgwX/sNN9zAp59+ysKFCxtsExERwTPPPMMll1zia/vHP/5Bbm4uRUVFjT7Ohg0b6NatGx9//DFjxozh7rvv5plnnmHNmjV+/dq3b09ubi7XXHNNg300NkMrMzOTkpIS388/EO+A93g87Nixg7S0tAbvUA/lWTIARUVFtGvXzu/6DuVM9TMVamtrKSoqokOHDti2bUQmt9uNx+Px5QoLCwtYpoI9BWwq30SnuE50iOlwXDPVj7WoqIi0tDTf/o82U7DMkgF8BfuWXGehkKl+3wUFBb5rzIRM9WNvyXUWapnq/23uOjvSTGVlZSQlJR32cx/N0Gpltm2TbtgLtmBuLjA3m6m5wNxsJuYqfe01Cm65FTweNtg2abfn0vaCC1p7WAFj4jEDc3NJ4Jl8rpiazdRcYG425Qo9pmYzNdfyOTOZ9fijOI7DJ5bFGVf/hv6nn9nawwoKKSkpuFyuBoWooqIiUlNTG90mNTX1sPqDd3ZQSkoK69atY8yYMaSmprJjxw6/PnV1dZSUlDS5n8jISCIjIxu0u1wu3+yBek0VZA/u11i7y+UiIyOjySwt3U89y7IabW9qjIfbfjhjae76DtVMAOHh4XTs2PGo9hNsmerP64NzHW2mN9a+Qe6CXDyOB9uyuXXYrUzsMbHZsQcyU/2/B+YK9eN0sOb+/wjVTI2di831D4VM9e0tvc5CKVP9v4e6zo4kU1OPeyhmvU0qBLndbtauXXvEa0YGK1NzgbnZTM0F5mYLpVy1hYVUfrmQ2kaW/HDq6qhev57dL75Iwc23QP07OjweCm65tdFtQlUoHbPDYWouCTyTzxVTs5maC8zNplyhx9RsJubaU7yLmfuLWeC9l8SsJx5jT/GuVh5ZcIiIiGDw4MHMnj3b1+bxeJg9e7bfjK0DDRs2zK8/wKxZs5rsD7B161aKi4tJS0vz7aO0tJRvv/3W12fOnDl4PB6GDh16NJGOmonXAZibC8zNFuhchZWF5H7hLWYBeBwPuQtyKaw8vn+/m3q8wNxspuYCc7MFWy7N0AoCB65paRJTc4G52UzNBeZmC4VcB866wrZJuvxywjp0oHrNGqq/+47qdetwamoa39jjoWbTZsKbeYdmqAmFY3YkTM0lgWfyuWJqNlNzgbnZlCv0mJrNtFzbv1sFBy2b43g8lBZuJy45pZVGFVymTp3Kz3/+c4YMGcLJJ5/Mww8/TGVlJZMmTQLg8ssvJyMjg2nTpgHwu9/9jlNPPZW//e1vnHXWWbz88st88803PP744wBUVFSQm5vL+eefT2pqKuvXr+eGG26ge/fujBs3DoA+ffowfvx4Jk+ezIwZM6itrWXKlClcfPHFQTFL0LTroJ6pucDcbIHMtbl8Mx78lxfzOB627NlCaszx/fvd1OMF5mYzNReYmy2YcqmgJSIix0xtYeH3xSwAj4eSp59u0M+KjiYiqzPVq1ZTFdmWfdHtiN63k6jaciI6d2py/xW7qyjdsY+27aOJTYw6RilERERE5ETnrqvjm3ffaNBu2TZtU1u/aBIsfvKTn7Bz505uueUWCgsLycnJ4cMPP6RDB++9dTZv3uy3/NDw4cN58cUX+etf/8pNN91Ejx49eOutt+jXrx/gXdZo2bJlPPPMM5SWlpKens6ZZ57JHXfc4bdk4AsvvMCUKVMYM2YMtm1z/vnn88gjjxzf8CInkE7xDf9Oty2bzLjMVhiNiJxIVNASEZFjpjo///ti1gGihwwh5oc/JLJXT6J69SK8Y0cs2+abv7/DwpVtwLLB8dC/ZgF9mpidtfLz7cx9fjWOA5YFo3/am+xT9GKCiIiIiATe/JefpXD9Wlzh4Xjq3DiOB8u2OWPyFM3OOsiUKVOYMmVKo9+bO3dug7YLL7yQCy+8sNH+0dHRfPTRR4d8zKSkJF588cXDGqeIHLmKmgq/r+vvoXW8Z2eJyIlHBa1WZlkWnTt3xrKs1h5KQJmaC8zNZmouMDdbsOdyHIc973/Q8Bu2TcYD9zdYRrBidxVfrY6F+jiWzfKI4Xx33Vzs8P03irQsLMDjOFTtqT3gsWDuC6vplJ0U1DO1gv2YHSlTc0ngmXyumJrN1FxgbjblCj2mZjMp17pvFvpmZ/3oN3+kQ9cebFm7hswevUho176VRyfBzKTr4ECm5gJzswU610eb/AvN00ZM40ddfxSQfR8OU48XmJvN1FxgbrZgy6WCViuzbZuUFPPezWVqLjA3m6m5wNxswZzLqauj4OZbKHvzTW+DZXmrTrZN2u25jd4Ta9Py4oNvSQCWRXWVB6oazvJq8Jge2Lp6N72HpQUgwbERzMfsaJiaSwLP3lNAyp71EN4NEjJaezgBZep1YGouMDebcoUeU7OZkqtsRyEf/uNBAE6acA49h54CoEKWtIgp18HBTM0F5mYLZC7Hcfhw44cARLmiqHJXUVpdGpB9Hy5TjxeYm83UXGButmDLZR+6ixxLbrebvLw83G53aw8loEzNBeZmMzUXmJstWHN5qqvZet113mKWy0XatGl0/2QOnZ55hu5zZtP2ggv8+jseh8UzN/Ppy2sa7szxkJP3Dy64tjs/+evJ/OSvP+Civ/yA/5sy8PuZXAeY8+wq5r+2lup9dcco3dEJ1mN2tEzNJQG26Fmch/vBM2d7/130bGuPKKBMvQ5MzQXmZlOu0GNqtlDLVbdlE1XzP6Nuy6bv22prefehe6murCStey9G/XQSEHrZpPWYeq6YmgvMzRbIXN/t/o788nwi7AjO7X4uABvLNh71fo+EqccLzM1mai4wN1uw5VJBKwhUVVW19hCOCVNzgbnZTM0F5mYLtlzuigq2XP1LKj6ejRURQcdH/k7bH59HeGoqMUNPbjAzq7K0mnceWcIXb6zD8UBKx1jqZzBbNvTfN5+knXnwv5dI6RhLSsc42mXG0blfMqf9tDfW/t9ilgVJGTE4Diz9eAsv3LKAlfO34/EcPOWr9QXbMQsUU3NJgJRtg3d/h+V4Z1tajgfevc7bbhBTrwNTc4G52ZQr9JiaLVRyVf73FQqn57PrPYvC6flUvuZdXvDT556kaMNaomLj+L/f/wlXWLhvm1DJJq3P1HPF1FxgbrZA5foo37vc4IiMEfRL6QfAxvLWKWiBuccLzM1mai4wN1sw5dKSgyIicsT2FO9id8F2EtPSibZstky+mqq8POyYGDpOn07MD4c2ue2GJTuZ89wqqivrCAu3GXFRD7JHpFNevI9vFyxn8LD+uFaFs+WrV9j98sskT76KsORk3/bZp6TTKTuJsh37SGgfTWxiFJtWFDP/1bWUFu3lk+dXs+KzbYy4qAfp3dtSsbuK0h37aLu/r4gcRyXrveuCHshxQ8kG45YeFBGR0FK3ZRO7F6Xy/ft9bXZ/k8TWqHdY8tH/APjRlD+Hnx+MAAAgAElEQVQQn6IlBkVEHMfxFbTGdxlPemw6APll+a04KhE5kaigJSIiR2T5nJnMevxRHMfBsiwG7nWT/t1GXImJZD7xBNH9+ja6XW21m/mvrWXlvO0AtOsUxxm/yCYxNQaA2MRIEtLDiE2MxB4xgqj+/alavpyS//yH9n/8o9++YhOj/IpTnfsl07F3IsvnbuXr9zayc/Me3nxgEe07x7Fz8x4cxzuba/RPe5N9Svox+smISANJ3bzTLv2KWhYkdW21IYmIiADULfsSOPh5oYtv3/wYgKE/vogug4Yc93GJiASj1SWr2bxnM5GuSE7teCq1nloAivYWUVlbSUx4TJPb1pVVU7drH2Ep0YQlRB6vIYuIYbTkYCuzbZvu3btj22YdClNzgbnZTM0F5mZrrVyO47B1dR4z9xez6tuWRFnUZqTT+YXnGxSzKnZXsXXNbjatKOa/d3/tLWZZMOjMTpx/w2BfMevgXJZlkfLrawAoefEl6nbvPuT4XGE2OWM7cdntw8ge4X1xYscmbzHLO1aY+/xqCjaUNrkkYf14K3YHdkq1zkU5YSVkwNl/x7Fc37eFRUF4dOuNKcBMvQ5MzQXmZlOu0GNqtpDI5fFQvazhfVwdx0Ppvp10zO7H8Asva/D9kMgmQcHUc8XUXGButkDl+jD/QwBGdRxFm/A2JEQmkBSVBEB+eX6T21V+XUjhPV+x64nlFN7zFZVfFx7VOOqZerzA3Gym5gJzswVbLs3QamWWZZGQkNDawwg4U3OBudlMzQXmZjtWuQ5cRjAuOQXH42HXlk1sXZ3H1lV5bFudR+XuksYGhPOba4js6j/jYuXn25n7/GpfQQkgJiGCsZOy6dg7qZHd+OeKHT2ayOw+VK9cRckzz9D+uutalKNNfASn/bQ37TvFMfdF/xcqHAfeuG8RtssiPiWa+JRoEtp5P8p27mP5p1vhGMzm0rkoJ7STLsfqNgaK18H//gjF38FnD8D4u1t7ZAFh6nVgai4wN5tyhR5Ts4VCrrp5L1JRNmz/Vw5g4Tgevt71EVasi7N+ewO2y9Vgu1DIJsHB1HPF1FxgbrZA5DpwucFxWeN87V0SulBSVcLGso30TW64UktdWTW7X197wI5g9xtrieyZeNQztUw9XmBuNlNzgbnZgi1XcJTVTmBut5vFixfjdrtbeygBZWouMDebqbnA3GzHItfyOTN54tpJvHrHTTz+60k8c/0Upl91Cc/e8BvmPDWD7xbMo3J3CZbtwq9Ctd/HLz3Nizf/kWWzP6Jm314qdlc1KGYBnP2bnEaLWY3lsiyLdr/+NQC7n3sed1nZYWXq3D8Zy2rYbtngcTuUFu1lc14xy+duZf6ra1k+11vMgv2zuV5YHbCZWjoX5UTnjk1lcVk87nF3eRu+ehxKWu8G0oFk6nVgai4wN5tyhR5TswV7LqdiJ7tnleMQRWRKBTFDvC/UbN+7gfzKFZz12xuITWzZ81WRpph6rpiaC8zNFohcK4tXsq1iG9Fh0YzMGOlr75LQBYCNZY0/r6/bta9ho9NE+2Ey9XiBudlMzQXmZgu2XJqhFQQ8Hs+hO4UgU3OBudlMzQXmZgtkrj3Fu5j5+KMHFKocdm3OByA8Mor0Xn3o2LsvGX36ErUsj8WPPMjyju2805gch7h9NVTERFHw3WoKvlvNJ888TnqvH+CuSQc7HsdTiu1KxLLjqKqsPaxcsaefTmSvXlSvWUPJs8/R7jdTWpwrNjGK0T/tzdwXVuN4vIWs0Zf1pvewNCpKqijbtY/ynfso27mPog1lbF/nXzBzPFC2Y5/fvbqOhs5FOdF5PB7oNga6ngYbPoHZt8OF/2ntYQWEqdeBqbnA3GzKFXpMzRbMufa+9B+q64YBtbT92QhK8rfBN9AuqiPDL7yMTv0GNLt9MGeT4GLquWJqLjA329HmOni5wXpd4psvaIWlNLLMuNVE+xEw9XiBudlMzQXmZgumXCpoiYgIAOu/WdjorKuxV/6a/mPG+ZZbqdm6lfxHHiWzZA8pe/ayNyKcNjW1RLsd0t56g7WrV7D8k1ns3r6VzcvmH7Q3i/CYsSS0H35YY7Nsm5RrfsW2635PybPPknTFz3HFxbV4++xT0umUnUTZjn0ktI/2Fafqlxukt7dfxe4qnr3piwY/hqiY8MMar4i0wJl3wIyRkPcGDJsCHQe39ohEROQE4V41n7L12QDE/zAaT5yL/730EKeGTyTS1YacnDNbeYQiIsHlwOUGx2eN9/veoWZohSVEYkW5cKr2z+6wIHFij6NeblBETkxaclBERNi1ZRPzX3qmQbtl23QdfLKvmFW3axebr7wSd0kJYe3bE+12SK6s8hazbs+lbc9e/OCc8zl76n3Epf4UO7zXQXt0qN07G8dTcdhjjDvzTCK6d8OzZw+7n3/+sLePTYwio1diszOt6mdzWQf9dpz97Cqq9zY/q0xEDlNqfxh4iffzWTc3WlAXEREJuLoayl79Gg8JhLcpJfb/Tmbmvx5hd8E2dnkKAKhee3hLXIuImG75ruUUVBYQHRbNiIwRft+rL2htKt+E29NwSTJPVd33xSyg3a8GEvOD1GM7YBExlgparcy2bbKzs7Ftsw6FqbnA3Gym5gJzswUqV9mOQl6/62aq9+0loX0HrP37s2ybMyZPIS45BQD3nj1svvpqajdtJjwjg6xXX6X7nNl0euYZus+ZTdsLLgBg6+oS3vzbYmqr25OYcXLDB3Q8lBZuP+xclm2T8qtrACh5+hncFZVHlbsp2aekc/ldwznv94M497ocomLD2bl5D+8+upSaqrqj2rfORTnRNThXTv8rhEXBps9hzQetO7ijZOp1YGouMDebcoUeU7MFa66qd59j794hgIe2Fw9i6cfv892X87FdLjqOGejts6ak2X0EazYJPqaeK6bmAnOzHW2u+uUGR2eOJirM/02iaTFpRLoiqfXUsr2i4d/6dTv975Xl1AZu6TJTjxeYm83UXGButmDLFRyjOMFFRES09hCOCVNzgbnZTM0F5mY72lyVpbt57c6bqdhdQkpmZy6b9jCTH3uKi265m8mPPUX/073LrXiqq9l67RSqV67ClZREp38/SXiH9oSnphIz9GTCU73vrvru60LefXQptVVu0nu05ezfjMKyLL/HtGybtqnpR5QrfsJ4IrKycJeVsfulF48qe3PqZ3N17J3EudflENkmjKKN5fxv+jJqa47uJpg6F+VE53euJGTAD3/t/fzjW8F9dEXj1mbqdWBqLjA3m3KFHlOzBVsuz458dn+VAEBsz0pK7ErmPvtvAEZd9gtSR/UFC2oLKnGXVze7r2DLJsHL1HPF1FxgbrYjzeVxPMzMnwk0XG4QwGW76BzfGYCN5Q2XHazdsdfv67qSfQ36HA1TjxeYm83UXGButmDKpYJWK/N4PCxZsiSobqwWCKbmAnOzmZoLzM12tLmqKit4/a6bKS0qIKF9B86/6XaiY+OIS04hs+8A38wsp66O7X/8I3u/+go7JobMJx4nIiurwf4Wz9rMrH+vxON26HZSe87+7UCSO6ZxxtW/8c36Aug9fJRv34eby3K5SLnmVwCUPPUfPHv3NugTaCkd4zjndzlERLnYvraU9/+xjLraIytq6VyUE12j58qI66BNMuz6DhY1XPo0VJh6HZiaC8zNplyhx9RswZir/Ll3cDsdcIWVEXHOMN57+F487jp6DB3OST86B1dsBOEdvfdprVqzu8n9BGM2CU6mnium5gJzsx1NrmU7l1G0t4iY8BhOyTil0T7N3Uerbqf/3+3u4qrDHkNTTD1eYG42U3OBudmCLZcKWiIiJ6DaqirevCeXnZvziWmbyAV/uZPYpOQG/RzHoTA3lz2zPsYKD6fj9OlE9+3r38fjMP/VtXzx+joABpzekXFX9SUs3Hvfrf6nn8nkx55iwFjvO7n2lh/dPQnizzqL8E6dcO/eze6XXzmqfbVU+87xnP3bHMIiXWxdvZsP/7UCd11w/CIXCXlRCXDqn7yfz50G1XtadzwiImKkms8/oGLnAADantWRj/79COU7d9C2QxrjfvU736oCUT0TAaj6rumCVm1hIXbeSmoLC4/9wEVEWln9coOnZZ5GpCuy0T7NFbRqd3hnZLmSvEsV1pUErqAlIiceFbRERE4w7rpa3nloGtu/W0VkTAzn33Q7bVPTGu2786GHKX31NbBt0v/2ADE/HOr3/bIde3nr4cUsnb0FgOETuzPiwh5Ytv8yg3HJKQw+68cAbMlbRlVlxRGP3woLI+WXVwNQ/NRTePYFdrmCpqR2TeD/rh1AWLjNphXFzHwyD7dbRS2RgBg8CZK6QuVO+PyR1h6NiIgYxtlXwe4PSgAX0R2KWL5jHRsWfY0rPJyzp95IZJsYX9+oXvsLWmt34zTyXK/0tdfYeMaZRN19NxvPOJPS1147XjFERI5c+TZidy2G8m2Htdmhlhus1yX+0DO0onsneb9WQUtEjoIKWiIiJxCPx80Hjz1I/pJvCYuI5Md/uo12nbs02rf46acpfvxxAFJvu5X4M8/0+/6yOVt4/pYv2f5dKQDZI9IYdGanBvfMqpeUnkFSRiYet5uNS749qhwJ55xDeHo67l27KH311aPa1+HI6JnIj64ZgCvMZsOSncz+z0rKi/exdc1uKnbrSbnIEQuLgLG3eT9f8BiUF7TmaERExDAVL7xCbV0nLGsv+4Z3Zv7LzwJw+qRf0j6rq1/fiI5x2G3CcKrc1GzynzVcW1hIwc23QP2SOx4PBbfcqplaIhLcFj2L/chAei34A/YjA2HRsy3edPGOxezct5O48DiGpQ9rsl9WQhYA+eX5fu1OnYe6Yu+bUKPqC1rF+3Ac5/AyiIjsp4JWK7Ntm5ycHGzbrENhai4wN5upucDcbIeby3Ec5jw1gzUL5mG7wjj3DzeR0atPg361hYXsePBBdtxzLwDtfv97Ei+6yK/Pjk3lzPvvWr+2VV8UHLKo0/0HPwRg3ddfHlUuKzyc5F/+EoDiJ/+Np7r5m3YHUmZ2EuOv7oftslj7zQ6e+8sC3n5oMc/e9AUrP9/e7LY6F+VE1+y50uccyBwKtXth7t3Hf3BHydTrwNRcYG425Qo9pmYLllx13y2nfF0nAKIH1/Hefx7F8XjIHnka/U8f16C/ZVsHLDtY4ve96vx8OPhFWI+Hmk2bj8nYJfQFy3UQaKbmAgOzlW2Dd3+H5XgL8ZbjgXev87a3wIcb9y832Ok0IlwRTfbLis8CoKSqhNKqUl97XUkVeMCKsInIigfAqXLj2Vt3JGkaMO54HcDUbKbmAnOzBVuu4BjFCa6mpqa1h3BMmJoLzM1mai4wN1tLc+0p3sX7j/2NpbM+AMtiwpSpZOUMbtCv9LXXWHfa6RQ//gQAMcOHk3z1ZP8+RXt577GlDbZ1PFC2o/nl/7oP8Ra08pd8Q11tbZP9WpIr4cfnEZaWRt2OHZS+/voh+wdS1oAURl3c06/NcWDuC6sPWdQ70c9FkSbPFcuCM+7wfr74edix6vgNKkBMvQ5MzQXmZlOu0GNqttbO5ZRuYfeLX+EQRUTMNmav/JzK3SUkd+zE2KuubXJlgahe3lkEVWv876NVu7HhUlrYNhGdOwV87GKO1r4OjhVTc4Fh2YpWev9YP5DjhpINh9zU7XEza9MsAMZlNXwDwIHahLchNSYV8J+lVbfDu9xgWLs22BEu7HhvUcwdwGUHjTpeBzE1m6m5wNxswZRLBa1W5vF4WLlyJR6PWfdhMTUXmJvN1FxgbraW5lo+ZyaP/3oSq+fPBaDPiNH0Hj6qQT/fEioHvOu08ssvqSsq8n1dtLGc1+//ln17GhajLBsS2kc3O5bUbj2ISUyiZt8+tuQtO6pcdkQEyVddCUDx40/gOc6/XBPat2nQdqii3ol+Looc8lzpNNQ7U8vxwKxbju/gjpKp14GpucDcbMoVekzN1uq5Fj3Lvr9NobqqJ1DDxoilbM5bRnhkFGf//kbCo6Ka3DSyZyJYUFtQibvMuxKAp7qa4n8/5e1QXwizbdJuzyU8NfUYh5FQ1erXwTFiai4wMNvSFxq2WS7v/WsP4duibymuKiY+Ip5haU0vN1ivsfto1e6/f1b4/r+fw5K8//fWlQTmXtjGHa8DmJrN1FxgbrZgy6WCloiIwfYU72Lm448C3xepVn/+KXuKdzXoW7V6dbNLqGzOK+athxdTVVFL+85xjLiwO9b+3yKWDaMv601sYtMvDHj72XQfMhSAdV8vOPJg+7W94ALC2rWjrrCQsjffOur9HdZjt4/m4Df1Wtahi3oijZk+fTpZWVlERUUxdOhQvvrqqyb7PvHEE4wcOZLExEQSExMZO3Zsg/5XXHEFlmX5fYwf3/RNnIPK2NvADoO1M2HDp609GhERCUVl23C/81dKa70rDbjdbzF/kffNVGdcPYXkjpnNbu6KCSeiYxwAVd95Z2ntfv55arduJaxDB7LefYeqv9xEl1kzaXvBBccwiIS88m3E7loM5S1b3k0koJa+AnlvAt+/IuBYNpz9MCRkHHLzj/I/AmBMpzGEu8IP2b9LQsOCVt3+N3yGtfP+nRyW7P23rlj3oBaRI6OCloiIwdZ/+1WDIpXj8VBa6H+vJ8dxKH3lvw13sH8JlTULC/nf9GXUVbvJ7JPIub8fxMAxnbj8ruGc9/tBXH7XcLJPSW/RmLrtX3Zw/TcLcY7y3R12ZCTJk68CoPjxx3GaWcYw0GIToxj9096+oh5A2w5tiEmIPG5jEDO88sorTJ06lVtvvZVFixYxcOBAxo0bx44dOxrtP3fuXC655BI++eQTFixYQGZmJmeeeSbbtvm/UDJ+/HgKCgp8Hy+99NLxiHP0krvBkF94P5/5VwiSd4GJiEgIKVlPWc0v8JCAzSbe37YOsBgwNIc+I0a3aBdRvfbfR2tNCXUlJez65wwA2l13HRFduuDJztbMLGneomexHxlIrwV/wH5kICx6trVHJCeSXWvhvd97Pz/1z5DsXTLfc+4/4aTLD7l5naeOjzd/DBx6ucF6jRW0mpyhpYKWiBwhFbSCQLDcUC3QTM0F5mYzNReYm625XBUlxSx47cUG7ZZt0zbVv/hU9vrrVHzyiXeKUf0+9y+hkreiho//sxKPx6HHDzpw1rUDiYgKA7xFnYxeiYecmXWgzL4DiIiOprJ0N4Xr1x52roO1vfBCXCkp1G7bRtk777Z4u0DIPiWdy+8azpif98EVbrG7cC9LZm9pdpsT8VyU5j344INMnjyZSZMmkZ2dzYwZM2jTpg1PPfVUo/1feOEFfv3rX5OTk0Pv3r158skn8Xg8zJ49269fZGQkqampvo/ExMTjEeeQWnSunPoniIyHwmWw/NVjP6gAMfU6MDUXmJtNuUKPqdlaK1fVxir2esYAHr7c8SF73S7aR1Vw2uVXtXgfvvtorS1l56PT8VRUEJWdTcK55wDmHjMJkLJt8O7vsPbfu8hyPPDudd52Q5h8DYR8ttp98OoVUFsJWSPh1BsgzluAt2j83oEH+7rwa0qqSmgb2ZaT005u0Ta+gla5t6DlOM73M7TqC1rJgV1yEAw4Xs0wNZupucDcbMGUK6y1B3Cic7lcDBo0qLWHEXCm5gJzs5maC8zN1lyu2ppq3n7gTvaWlRKTmMTeslIcjwfLtjlj8hTiklN8favXrqXwzrsAaDf19yScfTY1mzYTnpnJNwsqWfzaOgAGjsnklPO7Y9ktewLclLDwcLrkDGHNgnms+3oBaT16tThXY+zoaJJ/8Qt23Hcfu/71LxLOPQcr7Pj9eotNjKL3sDTcdR7mvrCGL99aT8deibTrFNeg74l4Lkrzampq+Pbbb7nxxht9bbZtM3bsWBYsaNmynHv37qW2tpakpCS/9rlz59K+fXsSExM5/fTTufPOO0lOTm5yP9XV1VRXV/u+Li8vB8DtduN2uwGwLAvbtvF4PDgHzP6sb6/v11z7gAEDfE+GD+5f3+6JSsQa/jvsT+7AmXM7ZJ8DYVEN1ux2uVw4jtNo+8FjbKo9EJnqxz5o0CC/n5dfpoPG2FR7sGVyuVwMGDAA+P54hXomy7J87fXZ6vdpQqb6XLZtNzrGUM0EkJOTAzTzf0cIZrJtG9u2W3ydhUqmegfmOl6ZPFU17J6zD4jmu7JFbKwsBRx6/OCHWImZuN3uFmWyU6Ox24Th2VvHni8WAZBy/R/x7H/c5q6zI80kBilZ770n6IEcN5RsaNFSb8HO5Of/RmT78EYoWgFtUmDiE2C7sGK8fwfYVbtbtAu/5QbtQy83CN8XtLbu2UqNuwa7wsGpcYP9/cws1/5/3SWBmaFlxPFqgqnZTM0F5mYLtlwqaLUyx3EoLy8nPj4e6+CbsYQwU3OBudlMzQXmZmsql+M4fPTPv1O4fi1RsXFcfNu9uMLDKS3cTtvUdL9ilqeqim1Tp+JUVRFzyikkX3kllWU1lMSHk/fOdjYs2QnAsB93Y9CZnQL28+v+gx/uL2h9ychLr2hRruYkXvwTip94gtrNmyn/3/9IOPfcgIzzcGSPSGdzXgkbluxk1lN5XHjTDwiPcPn1OdHORTm0Xbt24Xa76dChg197hw4dWL16dYv28ac//Yn09HTGjh3raxs/fjwTJ06kS5curF+/nptuuokJEyawYMECXC5Xo/uZNm0aubm5DdqXLVtGbGwsAMnJyWRlZbF582aKi4t9fdLS0khPT2fDhg2+QhhA586dSUlJYfXq1VRVff9Ha/fu3UlISGDZsmV+L+BlZ2cTERHBkiVLsKKH0y+qHRFlW/F8OYPqIb9i5cqVvr71BaTy8nLWrVvna4+KiqJv376UlJSwadMmX3t8fDw9evSgsLCQgoICX3sgMwFs2LChyUwHysnJoaamJugzxcfHs3TpUr8XX0M906HOPVMy9enTh8jISKMyZWZmkpSUxNKlS43JlJ2dTXh4uHGZWvN6st+ej13Xmcq6Mpbvnre/h8Xn8/Nw9/uUqLiEFmeKT3GI3gyulD5E9U/nu4gIOCDXwIEDqa2tDUimoqIixCBJ3bw3Gj6wqGW5IKlr640pgEx+/h/y2Va8Dt/+B7Bg4uMQnwaAE52MBTh7dx1yjlatp5bZm72rP7R0uUGAdtHtiAmPobK2ki17tpCx0/uGu7DkaKww2/c5gLu8BqfWgxV+dLM+Qv54NcPUbKbmAnOzBVsuyzn4rUHSqPLychISEigrKyM+Pj5g+3W73SxZsoScnJwmX2AKRabmAnOzmZoLzM3WVK4v33iFz195Dtvl4oK/3EFm3wFN7qPgllsp/e9/cbVLoeubb/LdmhrmPr/6+9tuWTDm8j70HpYW0LFX763kH1ddhsddx6SHZpCU3vGQuQ5l1+NPsPPBB4nIyqLr/97DaoVjXVVRy8t3LKSyrIZ+ozI49VL/2Wcn2rl4tI7V795gsn37djIyMvjiiy8YNmyYr/2GG27g008/ZeHChc1uf88993Dfffcxd+5c37vgG7Nhwwa6devGxx9/zJgxYxrt09gMrczMTEpKSnw//6N9V7/b7Wb58uUMHDiQsLCwQ86ysJa+hP3OtTiR8fDbJXii2vr1D6aZCo7jsHTpUvr37+93HYT6bCaPx8OSJUv8coV6pvrZF/XnY//+/QkPDzciE/hfZ43N+gjFTAfnOvgP6VDNVN/udrsb/P8R6pkAamtrfdeYy+U6Lpmq121l55PrABfzCl9j+771ftue/9c7yczu3+JMpa9+wb4l4C7fSur1PySsUyfg0NfZkWQqLS0lMTHR6Oc9weyYPO9c9CzOAcsO8oOr4Ky/BWbfrczUv2sgxLMVr4d/nQo1e2DkH2DMLb5veWbfiT3vfjyDf4F99kPN7ua99e9x4/wbaRvZlk8u+oQwu+XzIS557xJWFK/godEPMXRrH8re3UBUdjIpl2cD3ufM229bgFPtpsPUwb57ax2pkD5eh2BqNlNzgbnZgu01n+BZ/FBERI7a2oVf8PkrzwEw5hfXNFvMKv/gA0r/+1+wLDLuu48qV6x/MQuwgI69A3/fncg2MWT27Q/Auq+/DMg+Ey+9FFdCAjX5+ZR/8GFA9nm4omLDGXOF94n6is+2sXHZrlYZh4SOlJQUXC5Xg3dlFxUVkXqIG80/8MAD3HPPPcycObPZYhZA165dSUlJ8Xun+MEiIyOJj4/3+wDvi2z1H/UvRtYvRXdw+4FtTbUDvhejD+5vWRaWZX2/fc4l0KEfVnU51rwHGvSv31dj7QePsan2QGSqH3tLMh2qPRgzHfw9EzId+FimZTpwfCZlam6MoZypfuwtvc5CKVP94x+vTI7bofSlbwEXTtjyBsUsLIvk9I4tzmQDZa9Mx3E8uOI74kpKb/F1dqSZxDAnXY7nt0spztg/i37NB1Bd0bpjEnPVVcNrk7zFrE7DYfRN/t9vs3/p8b3FDbc9wBtr3+DG+d7l0EurS3ln/TuHNQzffbTKNlK303ufrPD20b7vW5blW36wrjhw99ESkROHnjGJiBhiR/4G3p/ufcffoAlnM2Ds+Cb71mzZQsHN3ndrJf/yamKGDaN0xz4OerMojgNlO47Nk8zuP/DORln3TWAKWq7YGJKu+DkAu2b8E6eV7kOQ2SeJnLGZAMx5dhWVZdWH2EJOZBEREQwePJjZs2f72jweD7Nnz/absXWw++67jzvuuIMPP/yQIUOGHPJxtm7dSnFxMWlpgZ1teczZLjjjdu/nXz3hve+EiIhIIyreX0htZRIWFSyN2QaAw/774+HwRb9iKqPqWry/0jfeoHrVUjzlWwCoXtOy+86I+InPYNOAqThtO0H5Nvj0ntYekZhq5l+hYClEJ8H5T4LroFlV0d7l/6x9JU3uorCykNwv/Jcgz12QS2FlYYuHkZWQBUB+eT51O/YCENbOfxZWWPL+glaA7qMlIicWFbSCQFRUVGsP4ZgwNReYm83UXGButvpclWHrgHQAACAASURBVKW7eeu+O6irrqbzgEGM/tlVTW7j1NSwbeof8FRUEH3SSbSbMgWAuhp3g76WDQkHvJsqkLoNORmAgrVrqCz1f4HgSI9X4k9/ih0XR8269eyZOeuox3ikfnhuN1IyY6mqqGX2M6twPN9XCk0/F+XwTZ06lSeeeIJnnnmGVatWcc0111BZWcmkSZMAuPzyy7nxxht9/e+9915uvvlmnnrqKbKysigsLKSwsJCKCu87fisqKrj++uv58ssvyc/PZ/bs2Zx77rl0796dceNavgb+sVBUWcT6mvUUVR7GfUK6j4Fup4OnFmbffuwGFwCmXgem5gJzsylX6DE12/HKVberkvIvKr2PmbGM75avAGDOSTv5cGghr522je8y97Blz5YW7c9dUcnOvz/i3V+3OACq1vi/CGzqMZPAi4xti2f8fd4vFvwDilY2v0GIMPkaCLlsK9+Grx73fv7jf0FCRoMuThtvQau5GVqbyzfjwf+NoR7H0+L/O8F/hlbtTm9B6+BlBV3199EqDkxBK+SO12EwNZupucDcbMGUSwWtVuZyuejbt69vmQFTmJoLzM1mai4wN1t9Lsft5u0H7mRP8U4S0zL4v+v+hN1M1h0P/52q5cuxExLIeOB+rLAwHI/D1+9t9Otn2TD6st7EJh6bX1pxSSmkdusBjsP6b7+/T9DRHC9XXBxJP/sZALv+2XqztFzhNmf8oi+ucJstK0tY9slWb7vh56JpuY6Xn/zkJzzwwAPccsst5OTksGTJEj788EM6dOgAwObNm/1ufP/Pf/6TmpoaLrjgAtLS0nwfDzzwAOA9HsuWLeOcc86hZ8+eXHnllQwePJh58+YRGRnZKhnBu3zJ+DfHc8d3dzDhzQm8sfaNlm98xh2ABXlvwtZvjtkYj4ap14GpucDcbMoVekzNdrxyOY7D7ufm4TgRRLhWsiouHsftpiixii2p+yhMrmZvtPeNWzv37mzRPov//STuXbsI79yJtuePBOD/2Tvv+Cjq/P8/Z7ak94QUkpBA6FWKFBGUInqKp9hPpNjbnafe6dkoKup97049u3jWn9hARFSEUASkdwhgIJQU0kjfZJPd7O7M749JloT0ZEN2x3k+HvvI7uzn85nPK/P5zM7M+/N+vy0nSpHtyrWlWo+ZhutxjpV+V0G/a0B2wE+PQRfdp7gKNc8Bj9JWlg2HvoEVDymfx/0F+lzRaFGdfwQAQmXTHlrxgfEInJenUhCJC4hrdZcSAxWDVn5xLlK5DQB9RP1Fss6Qgy7w0PKo49VG1KpNrbpAvdrcTZdm0OpiJEmisLCwQbJYT0etukC92tSqC9SrTZIkCgoKSF78Jrlpx/Dy8+O6J+bh7effZJ2KzZsp/ugjAGJeWoQhJgaAo1tzOJtRjtFbx01PjeS6Ry9i1qJxDLgkplM1OMMO1smj1dHjFTrrDkQ/P6zHjlGxYYNL+tmufkT7Mf7GJAC2fXeCwjMVqh6LatR1IXn44YfJyMjAarWyc+dORo8e7fxu48aNfPLJJ87P6enpyLLc4LVgwQIAfHx8WLNmDWfPnqW6upr09HQWL17sNJB1BbXhS86FfpLaFr4kahAM+5PyPvk5GsRHdQPUOg/UqgvUq03T5XmoVduF0lW18zTWfD+gGv9LBA5u3gTAkURTg7JPb3maL1O/RG7md8SWm0vxRx8DEPn3v2PsEYLoZ0C2OrBmKG2q9ZhpuJ56Y+XKV8DgC5nb4eAXXd21DqHmOeAx2vZ9Bq8PguX3KHmzQhJh8rwmi0s+Sm5subKoyWvpKL8oRkefuw8RBZH5Y+cT5dd8bt+6xAfGIwoioWbluYQYaET0rh/+0JU5tDzmeLUDtWpTqy5QrzZ306UZtLoYWZbJyMho9oLaE1GrLlCvNrXqAvVqMxUWsHbxW/z26y8Iosj0vz5FaEzD0AK12PLzyXnyH4ASmi9g8mQALBU2tq9QkmZfPL0n3XoE0r1vSKd5ZtWl10jlYjnz8EGqq5RwBB09XrrgYEJmzgSg4J13uvS4D5zQnYTBYUh2mbUfHcFmtatyLKp1jmm4DleEL+HyZ0DvA5nb4NgqF/ew46h1HqhVF6hXm6bL81Crtguhy2G2Ufqjch0bGLSRVLkbFnMFJj87WZFVvHLpK3w07SN+uv4npvecjkN28NLOl3hhxwvYJFujbZ597TVkqxXfUaPwnzwZQRTw7qM8CLYcL7lg2jTUQb2xEhwHlyn3YyQ/B814yrg7ap4DHqGtLBt+eATkOtfXpRlQcbbJKnJtDi3JBtUVTZbTCYoHxuwBs1lzwxpm9J7Rpq4ZdUZi/WOJsypGsPPDDQLoa0IO2kss9cLztwePOF7tRK3a1KoL1KvN3XRpBi0NDQ0NDyRlQzIf/uVucg/tBaDvuEvpMWRYk+Wrs7PJuu9+HCUleA3oT7cn/u78bvuKk1jNdsK6+zH4sqYNYp1BWGw8wVHROGw20g/uc1m7oXNmI/j6Yj36GxWbNrms3bYiCAKX39Efn0AjxTlmdqw43XIlDQ0VUrtS83xCvENa30hQdxj7oPJ+7XxwNP4gUkNDQ0Pj90PZ0t1Idm/0Qjp+N05j788/AHAkoYx+Yf35Q+IfGBU1ivjAeBaNX8RjIx5DQGDp8aXcm3wvJZb6eVyrUlIwrVTa6PbkkwiCEnrLu6/ye2U95rkGCA03YcyDENEfqoph3YKu7o2Gp1J8sr4xC5TPxaearmPwRRJrwo83k0frVJnSxqT4SW3yzKpLYlAicdZooGG4QQBdkBeIAthlHOXV7dqHhobG7xfNoKWhoaHhYZQXFbJ28Zv1wgQc2/Yr5UWFjZYvXbaMk1OmYk1NBSDgiisQjUYA8k6XcXRrDgATbu2LqLuwPwuCIDQadrCj6ENCCP3TbQAUvvNul64i8Q00Mnl2fwAOb8qmJFN7CK/x+yPKL4r5Y+c3MGp9fPjjJuuUFxWSefhQ/XPbJY+AbxgUpcG+TzuruxoaGhoaHoDleBGVqQ5AIqR/KmkFEqaCfKxGiROxZu4cfKfTIAXKdefcQXN5c9Kb+Bn82JO/h9t+uo0TJScAZfVx/iv/BCDoj3/EZ9BAZ12v3iEggC2vEnup9YLq1FAZOgNc86ryft+nkLWra/uj4ZmE9oLzcl0h6CC0Z7PV7MYg5U0TBq1KWyW5ZiV3b8+g5ttqjsSgROKqlXDnjXloCToBfYhiXHO4IOyghobG7wvNoOUGBAYGdnUXOgW16gL1alOrLlCXtpLcnAYGGlmSKM3LaVDWlpdH7nPz6hm/Ct94E1teHpIks/nL4yBD3zFRxPQO7vS+N0bSyDEAnNq/G4fdDrjmeIXOnYvg7Y3l0CHMW7Z2uL2O0GNgGEMmxQJw+lcLVSpchaamOabROczoPYOfr/uZ5wc+z6sTX0UURFaeXMmGzIa57lI2JPPBQ3NZ+sLTfPDQXFI2JCtfeAfBxJpQPRtfAWv5BVTQMmqdB2rVBerVpunyPNSqrbN0SdUOSr4+AICfcS3G6//Cnh+WA3C0h4mY4Fimxk9ttO7EuIl8ftXnxPrHkl2RzcyfZ7IpaxOl3yylau9e8PIi4tG/1quj8zNgjAsAwHK8uFO1aaiPBmOlxzgYdrvy/sfHwGG/8J1yAWqeA26vzT8SvOr0UdDB9NeViAbNUJtHq6lwl6dNSkSRUO9Qgr3b/3xA8dBSvLsa89AC0DnzaFnavR9Qnnn4p6djy2tlbl4Pw+3HYjtRqy5QrzZ30qUZtLoYnU5H79690el0Xd0Vl6JWXaBebWrVBerWVosgigRHxTTYXp2e0TDhqyRRnZHJ0S05FGSWY/TRM25G0gXqaUOi+/TFJzAIq9nMmd8Ou+x46cPCCLnlFgAK3367y2P9jr2+F6ExflRXSmxccrzL++NKfg9zTMM1xATGcP3I65maMJXZA2cDsHD7wnohn2q9UGvniCzLrP3grXOeWiPnKqtSzQWw9b8XXENTqHUeqFUXqFebpsvzUKu2ztRVvvoYDrMRHQUEXdGDM1lnyT91AocokxpfzpyBc9CJTe83KSSJL67+glFRozDbzKz494Pkzp+vfFldjXnLlgZ1vPsq+Wcsx0pUe8w0XE+TY2Xq8+AdDPkpsGtx13SuA6h5DniEtuOrwVoG3iEw8zv4awoMn9VsFZ1Oh3dIzTODJjy0TpUq4QYTgxI71L1EvwSibOFA4x5aUCePVnFDg5YtLw/zjp0tGqmKlyzh9JSpSM88y+mpV1C6bFmH+u1ueMRYbAdq1QXq1eZuujSDVhcjSRI5OTlIktRyYQ9CrbpAvdrUqgvUp23/6pX1PguiyNR7HiYgLLxBWdHfr2EDoogjPIYdK5QE2qOv7YlvoLFT+toaRFFHrxGjASXsoCuPV+hddyIYjVQdOEDlDteFNGwPeoOOKXf2R9QJZKQUcXhTdpf2x5WobY5pdB51x8pDwx4iKTiJYksxL+x4wWnAatELVWeAKQuU99veAlND79SuQK3zQK26QL3aNF2eh1q1dZau6uOnKN9WAEBwxM+IY+c6vbPSYivwDwrhj0l/bLGdEO8Q3p/6PrPDr+HuNdK54F2yTO68+Q0epDrzaKWV4qi2q/KYuYq3336bhIQEvL29GT16NLt2NR9Wb+nSpfTr1w9vb28GDx7MqlWrnN/ZbDaefPJJBg8ejJ+fHzExMcyaNYucnPq//wkJCQiCUO/1yiuvdIq+ttDkPPALP3c988sit7meaS1qPW+Bh2jb85Hyd8RsSJrUomcWKLoqhRrjUhMGrdNliodWR8INAsTbYtAhYharsHg37oGor/XQOs+gVbpsGScmTSZzzhxOTJpM6bJl2IuLqdy9m5KvvibvpZfIvOtujk+YSP4LL55bwCtJjZ67PRmPGIvtQK26QL3a3E2XZtDqYmRZJjc3V1Ur9UG9ukC92tSqC9SlLfvYb5zYvQNBELnhmRcYeusc7vzvBwyedEWj5cvXr6+/QRSJfn4he7aVY620Ex7nz6AJDT27LjRJo5Swgyf37ESSJJcdL0O3bgTffDOg5NLqakKj/Yi/WIkVvvXbExTlVHRxj1yDmuaYRudSd6x46bx4cfyL6AU9azPWsjp9NQAh0TH1cp4AIAj1vVD7T4e4MWCvgl9euoAKmkat80CtukC92jRdnodatXWGLnnPZ5R8vBEQ8RG34DO0O0W5OZzatxsZOJJoYuaAmXjpvFrVnkE0cI9wacMHIzURDeqVjfFH9DcgVzuwZphUecxcwddff81jjz3G/Pnz2bdvH0OHDmXatGmcPXu20fLbtm3jtttu46677mL//v1cd911XHfddRw+fBiAyspK9u3bx3PPPce+fftYvnw5x44d49prr23Q1vPPP09ubq7z9ec//7lTtbaGZufB8NkQOwqqK2DN0xe+cx1Arect8ABtxafhZM19/og5ra4myzIVDoPyoSkPrTLFQ6ujBi0fk+LFkWXMI7M8s9Ey+rDakIPncmjZ8vLInTcfah+aSxK5zz5H2rhLyLhjFnkLFlDy2f/DvHUrjsbOKY2cuz0Ztx+L7UStukC92txNl2bQ0tDQ0PAQZFnm1y8+BmDQpKnEDRxCSHxio55ZAJLFQulXXwMQtWAB8Z9+StKG9ViGT+W3rUqi1wm39kXUdf1PQfzgoei9vCgvKqAg/ZRL2w67+y4Eg4HK3bsxt7A69EIQOdBI3IAQHDaJtR8exWFzjxUuGhpdwcCwgdw75F4AXtzxIgWVBQSEhTP13j8jiOfOTTqdDrutTu45QYArXlDeH1gC+UcvZLc1NDQ0NLqCsmwqvl+PTe6NQAXBhvdh6xvsWb4EgMzISuRgb27pe0vbmv1+ZYNtDgEyAq31tgmigHefGi+t4yUN6mgovPrqq9xzzz3MnTuXAQMG8N577+Hr68tHH33UaPn//ve/XHnllfz973+nf//+vPDCCwwfPpy33noLgKCgINauXcvNN99M3759GTNmDG+99RZ79+4lM7P+g+uAgACioqKcLz+/RqJVuBOiCFe/CoIIR76DE+tbrqOhsfcT5W+vyRDattCAdmOQ8qaTDVr2s4qRKssrz+n1dT66UCXkoKOOh1Z1esY5Y9Z5GLp3x2/CpYTOmUPUC8/T/c03lDlUF1HE2CO+Q33X0NBwf7r+KaaGhoaGRqs4uXcX2alH0Ru9GHvjbS2WL1u5EkdJCYaYGIJvvAG/0Rej6xbJpi+PAdBvXDTRvYI6u9utwmD0InHoCABO7nFtaEBDVBRBN8wAoPDdrvfSEgSBy2f2wyfAQFF2Bdu/P9nVXdLQ6FLuHnI3/UP7Y6o2sWD7AmRZZvCkK7jnrY+48bkXierdF4fdzs9v/QfJ4ThXMe5iGPBHkCVYO6/rBGhoaGhoXBDsGScx2WYCEKT/GJ1QQkW1yG81YaUP9yzjpr43EWAMaHWbFVu2Yt60SVkoUfNgVBJg8VUis/c+xpr0NfXK14YdtBwtxnDWgaPM2qDN3zPV1dXs3buXKVOmOLeJosiUKVPYvn17o3W2b99erzzAtGnTmiwPUFZWhiAIBAcH19v+yiuvEBYWxkUXXcS//vUv7PbGQ50BWK1WTCZTvReAw+FwvmpDK0mS1Oj2utua217L+dtlWUaOGow06h4A5FV/w2E1K9tludF2mtp+fh+b2u4qTbWr9BvV1EgfPU1T3e/dSlN1Fez/XOnf8DltPk61Bi25sqhBHy02C1mmLAB6BPTokCZbQSUAWcZ8TpWealSTEKR4i0mVdqQqOw6HA11cbKNGqoQffyAxeQ3d332Xbk8+QchNN+E3aRKRC+Yr528AQSBq4ULEiIiuP04unE9tmWeeoqmx79SgqW4f1Kapbr9drak96NtVS8NlCIJAWFhYw9A6Ho5adYF6talVF6hDm+RwsOXLTwEY/odrCQgNR5KkJnXJskzxp58BEHLHHQh65XR/ZHM2hVkVePnqGXtdrwsnoBUkjRpD2q5tnNyzk4ljJrj0eIXfcw+ly76lcvsOKvftw3f4cJe13RZqx6JfsBeT7ujPT+8c4uC6LOIHhBI/IKxL+uQK1DDHNC4MjY0Vg2jgpfEvcfOPN7P5zGZWnFjB9b2vJyAsnICwcEIeieHTvz9Mbtoxdq74hrE31DHoT54PqT/BibVwaiP0vOxCS3Ki1nmgVl2gXm2aLs9DrdpcqUuWZUq26pERMAop+OmSAThQGovD4SA/xEJpmMwd/e9odZtSdTX5LyjevqGz7iB07lyqMzKpjg6l+vi/sWRv5W+b/sbJ0pPcP/R+REHEu7di0HIUWQjdBGc37yVkRm/8RkV1WKMaKCwsxOFwEBkZWW97ZGQkqampjdbJy8trtHxeE3lwLBYLTz75JLfddhuBgYHO7X/5y18YPnw4oaGhbNu2jaeeeorc3FxeffXVRtt5+eWXWbhwYYPthw4dwt/fH4CwsDASEhLIzMykqOicR0t0dDQxMTGcOnXKaQgD6NGjB+Hh4aSmpmKxnPM6CQgIQBAEDh48WC//yIABAzAajRwKvYaB3sswFp8i/9uniLzlNaqrqzl69JwHuiiKXHTRRZhMJk6cOOHc7u3tzcCBAykuLiYjI8O5PTAwkN69e5OXl0dubq5zu6s09erVi7CwMI4cOdKopgMHDtT7vw4bNsztNSUlJREUFMSRI0cASElJcTtNieZ9hFYWYveJ4GBlFNT0qSVNhw4dQpIkQmoMWlJFAUhSPU05lhzssh1fvS+5x3PJE/LarSnwbI1ByyuPjMxSDsgHGtUU7gU6q5JHK6MyF5PJhGHKZAzJa2v/oUj33cfRsjKn1nqaevVCf9WVGFf9jM+0aQTOuN4tjlN7x17tcaqlX79+hISEOMeiGjQNGDAAfc3zqbq6PF3T+eeIlJQU1WkC5XrMYrG4TFNaWhrtQZDdJfihm2MymQgKCqKsrKzeRZOGhobGhSDll2SS33sDb/8A7nrjA7z9/JstX/Hrr2Tdcy+iry9JmzaiCwig0lTNkvk7qK6yM+HWPgy+LPYC9b51VFWU8+49tyNLEne98T+CI137YCD3uecoXboMv/Hjif/fBy5tu71s/vIYKZuy8Q00cuu8i/HxN3Z1l9pFeVEhJbk5hETHNBkCsz1ov71dy4X+/398+GNe3fsqfgY/ll+7nBj/czmzjv76Cz+/9R8EUeRPL/ybqKQ+5yquegJ2vQ9RQ+DeTQ1XdWpoaGhoeDyVB85S/NUxwEak8WEMYjbVsoEP0idgsVSzYfhZRl36BxaMW9DqNgvfe5+C119HFxFOr1Wr0AWc8+xySA5e3fsqnx1VFohN7TGVFy95EWOljryXzwthLUDUPy5GH9S6vF1NoYbrnpycHLp37862bdsYO3asc/sTTzzBpk2b2LlzZ4M6RqORTz/9lNtuO7dg5Z133mHhwoXk5+fXK2uz2bjhhhs4c+YMGzdubPb/9NFHH3HfffdRUVGBl1fDY2O1WrFaz3nYmUwm4uLiKC4udrYrCAKiKCJJUr28IbXbz19Z3tR2URQRBKHR7aCsUheOfIe4/C5knRc8uB1Ce9Z7uAhKCGZZlhvdfn4fm9p+ITW1ZrumqW2axM+mI2RsRZrwBPLEf7Rd0+lN6D6/HjmiPzy4vV4f12eu5/HNjzMwbCBLrlrSbk2yJJP//E5km8TdPRfgFxXMN1d/06imwvdTsGWWE/qnfngNDAUg76mnMa1cid+UKUQ/+wxiRESzmko+/5yCl18h4Kqr6P7qf9ziOKlx7GmaNE2doamsrIzQ0NA2X/tod/xdjCRJpKenNzjgno5adYF6talVF3i+Nlu1lW3fKBeUo6+/2WnMak5X8SeKN1fQjTc4b863f3eC6io74XH+DJzQ/QL1vvX4+AcQ238QALuTV7n8eIXdey/odJi3bKHq0CGXtt1azj9m425IIiTKl0pTNb/8v1S3SbDZFlI2JPPBQ3NZ+sLTfPDQXFI2JHd1lzTcmObOW7MGzGJYxDDMNjPzts5Dks+V6T/+MvqMvRRZklj11n+w1VlVxsQnsRsSsGTL2HcuuxAyGsXTf2uaQq26QL3aNF2eh1q1uUqXw2yjdIXi3ROo/wbDzNdg9o8cHvoaFks1Zb42zkRamDtobqvbrD6TTeF77wEQ+cST9YxZADpRx99H/Z3nxz2PXtSzNmMts1fP5uyZ7IaNyWAvrGq/QBURHh6OTqdrYIjKz88nKqrxxWpRUVGtKm+z2bj55pvJyMhg7dq1LT74Gj16NHa7nfT09Ea/9/LyUjxJ6rxAechW+6p9cCeKYqPb625rarsgCGRkZCBJUoPygiAgCIJSd/AN0PNyBIcVYdXfEBppH3CWP3/7+X1sarsrNNU+uExPT2/Qn7qaWrPdnTTVepMKgkBWVpazX26jqfgkQsZWEETEEXPapKn2fZ7JpvSvsqhBH9PLlbnSM6hnhzRRYUe2Scgi5BoLyTBlIIhCo5oMYUoeLXuxRdHhcFCxcSMA4bNnYYiKalaTTqdznr+l8nL3OE4dGHuNzbOMjIxWzzNP0CQIArIs15tjatBU93xRq00tmurqkmXZ5Zrag2bQ6mJkWaaoqMgjH2I2h1p1gXq1qVUXeL62/T//QEVxEYER3Rg27Rrn9qZ0WdPSMG/dCoJA6B1K2JWT+8+Sul0JGTDxtr6IonuGtEkaNQaAjAN7XX68jHFxBF17LQCF73RNLq3zj5neqGPqXQMR9QKnDxZydEtOl/SrveSkHSN58ZtOPbIss/aDtygvKuzinmm4K82dj3WijkXjF+Gj92Fn3k6+Sv3K+Z0gCEy5+0H8Q8Moyc1m0+fnEsubj9rIK3+TQtvL5H0fiXlHZoO2LwSe/lvTFGrVBerVpunyPNSqzVW6yn48gWQR0AsZBIwJhD7TkOLHsXfDRgCOJpqYnDCFHoE9Wt1m/ssvI1ss+F58MYHXXN1kuet7X89H0z4i1DuU1OJUHt73V+TzL6MF0If7tEOZ+jAajYwYMYL169c7t0mSxPr16+t5bNVl7Nix9coDrF27tl75WmNWWloa69atIyys5VDdBw4cQBRFunXr1k41rqHV80AQ4Or/gM4LTm6AoysuTAfbiVrPW+DG2vZ+rPztcxUEtX2BqizLFFXWaKosgvP0nSo7BUDP4J4d6qa9JtygIdwHnU6H1WEl15zbaFldqDeghHEFMO/chWQyoQsLw6eVaQIEPz+ljYryDvXbHXHbsdhB1KoL1KvN3XRpBi0NDQ0NN6aqopxd3y8F4JKbZ6I3GFqsU/yZEholYMpkjHFxHPk1m9XvHz73fa65czrrApJGKgatsuxMqurE+3UV4ffdC6JIxcaNVNXERu9qIuICnPnMtnyTRkme+x4fW7WV9AN72fjZB3z82AN8+ezjDW6EZEmiNM+zDHMa7kN8YDyPjngUgFf3vMoPJ38gz6wY4338A7jyAeW7g2tXcWr/buxlVkqWpwG1TxdFSr5Px15mbaR1DQ0NDQ1Pw3KihMr9hYBESOAShCnPAHB851ZMBflYjA5OxJq5a9BdrW6zfONGKtavB72eqHnPtZjj66JuF/Hl1V/SN6QvadJp3ohagoOapO84OHVJeYfDDaqJxx57jA8++IBPP/2U3377jQceeACz2czcuYoH3axZs3jqqaec5R955BFWr17Nf/7zH1JTU1mwYAF79uzh4YcfBhRj1o033siePXtYsmQJDoeDvLw88vLyqK6uBmD79u28/vrrHDx4kFOnTrFkyRIeffRRZs6cSUhIyIX/J7SXsF4wXrnWYfVTYHH9/ZCGh2KrggM1YQBH3tnuZuw1ObSQHWApq/fdqVLFoJUYlNju9gFsBYrHqiHC17nQ4HTZ6UbL6sMUg5a9WKlTnrwGgICpUxBa6bmh86/10Kpof6c1NDQ8Cs2gpaGhoeHG7FqxFKvZTER8Av3GT2yxvL24mLLvVwIQOmcOFSUWNi45Vq/MxiWpVJRYGqve5QRGdCOiRyLISwCCygAAIABJREFUMqf273Z5+8aEBAKvVlbhFr7bNV5ajTF0Uhxx/UOw2ySSPzyCw+4eIYdkWaboTCZ7f1rBty/N4507b+Pbl+ez96fvKc7O4pwR4RyCKBIcFdOwMQ2NVnJL31tIDEzEKll5esvTTFs2jeVpywHoMWQYw69SPC3XvPtfzBmFcP4iMVnAfiYfDQ0NDQ3PRrY5KFn2GwB+ulV4XXMXeAchyzJ7flB+F37rUc7I2IsZGD6wVW1KFgv5i14CIHT2LLySklpVL8Y/hs+u+oxLYi5hdfBW5iQ9xxPxrzEn6Tn+XPyUc/GFBtxyyy38+9//Zt68eQwbNowDBw6wevVqIiMjAcjMzKyX2H7cuHF88cUXLF68mKFDh7Js2TJWrFjBoEFKKPLs7GxWrlzJmTNnGDZsGNHR0c7Xtm3bACV84FdffcXEiRMZOHAgixYt4tFHH2Xx4sUX/h/QUcY/CiGJUJ4LG1/u6t5ouAtHvlMMUMHx0GtSu5uRdUZkY00+7soi53ZJlkg3pQNKyMGOUOuhpe/m6zSONW3Qqgk5WGRBttspX6d4awZecUWr9ycG1KRkqNAMWhoavxf0Xd2B3zuCIBAdHd3iqjBPQ626QL3a1KoLPFebqfAs+1f/AMClf5qDKNZfodSYrpKvvkKursZ70CB8hg8n67fiBu3KEpSdrcI/xLtzBbSTXiPHUJBxmlN7dzJkUusvZFtL+P33YfrxRyrWrcdy7Bjeffu6fB9N0dRYFESBybMH8NULuyjMqmDnylOMm9G6ByyuxmKuIDPlAOkH95F+cD/lRQX1vvcPCydhyHAShg6nx+BhpO3axtoP3kKWJARRZOo9DxMQFt4lfddwf1pzPj5beZYMU4bzs4TEwu0LGRczjii/KMb/aTYZKQcoOpPJ1p+/YAhjzmvBgT7tIxi4oHNENIGn/ta0hFp1gXq1abo8D7Vq66gu07pMHKUOdBQSlHQKBr0CwPEdW8g/dQK7IJPao5w32+CdVfS/D7FlZaGPjCTiwQfb1B9fgy9zBs1ha85WCg2lFBpKlS9kyCrPIsqv8RxRv0cefvhhp4fV+WysyY9Tl5tuuombbrqp0fIJCQkthjgaPnw4O3bsaHM/LwRtngcGb/jDv2HJDbDzPRh6G0QP6dxOtgO1nrfATbXtqQm3PWIuiO3zTajVhW8oVFdAZbHiFQjkmfOoslehF/TEBsR2qKu2gnMGrQQ5AWjGoFUbcrDMinnXHhwlJeiCg/EdNarV+3Pm0FKhQcstx6ILUKsuUK82d9OlGbS6GFEUiYlR30p2teoC9WpTqy7wXG3bvvkCh81G3MAhJAwb0eD783VJ1dWUfPElAKGzZyMIAgUZDcNUCCIEdXPfOP+9Lx7Ljm+/JOPQAWxWCwYv1xrevHr1IvCqKzGt+pnCd98j9vXXXNp+czQ3Fv2Cvbj8jn78/F4K+9dmEhHnj0+gF8HdfFxmfCwvKqQkN4eQ6Bin0UmSHOSfOkH6gX2kH9xH7oljyJKEjy6AAEMIsncIYX0SSBg6nMRhIwjtHlfvImbwpCtIGDqc0rwcgqNiNGOWRrO05nycacpEor6XoiRLZJgyiPKLwmD04qqHH+eLZx4ndd9mBiWNRnTUjkmZEP1b6A9thAmzILRjK0zbgqf+1rSEWnWBerVpujwPtWrriK7qnArKNyve4MFeHyBOfwMEgZQNySS//wYAOhlGV/RiTPT5CxuaaDMzk6Iaj53Ip/6BWJN3pS0kBCYgCiKSfO53ShRE4gLi2tyWxu+Dds2D3lNgwB/h6Pfw0+Nw55p2GzE6C7Wet8ANteUegjO7QTTARTPb3YxTl28YlGbW89CqzZ8VHxiPQWw5zUFz2M/Whhz0IdHavIeW6G9AMIrI1RLlyb8C4D95EkIrUi3Uog9SwihKZjOyw9HqUIWegNuNRRehVl2gXm3upsu9fhF/hzgcDtLS0nA4HF3dFZeiVl2gXm1q1QWeqa0gM50jmxV3+wl/mtPoKojzdZl+WoWjsBB9ZCSBV07DbnOQsqkml1FNdUGEy27v57beWQChsfH4BIdgr7aScehAp+wj7P77AShfswZrWlqn7KMxWhqLPYdFMODSGJAh+cOjfP/afj57ehtHt3Y8J1XKhmQ+eGguS194mg8emsvqd1/nx9f/ybv3zOSLZx5n29Il5Bz/DVmSGBQ3kenxD3B59G1cHXMvV13xECOvuZ6w2PhGx6JvcAgWow++wR6Uo0CjS2jN+Tg+MB5RaHiJ+v2J750rtCMTezHu5tvp5tNDMWbVDktvPb59JJBssG5hZ0hoEk/8rWkNatUF6tWm6fI81KqtvbpkSaZkWSrIAj7iVnwuGw/hSZQXFZK8+E1nOQGBnjttVBQXNdNaTZuyTN6iRcjV1fiNG0fAtGlt1gMQ5RfF/LHznb9ToiAyf+x8zTtLo0naPb+vfAWM/nBmF+z/rHM61wHUet4CN9S292Plb//p4N+t3c3U6pJ9au7Z6hq0avJndTTcoMNsQzLbANBHtBxyUBAEp5dW5V4lVUJbwg0CyD7nFutKZvfNR90e3G4sugi16gL1anM3XZpByw0wmdSZ6FOtukC92tSqCzxP25YvPwVZps+Y8UQl9WmyXK0uWZYp/vRTAEJuvx3BYODI5hzMpVb8Q7yYuXAM1z16EbMWjWPAJe6zqqIxBEEgtJcSBvDE7s4JHeLdpw8BV1wBskzhe+93yj6aoqWxOGxKfL3PstzxvGflRYWsXfym0xggyzJHNq7j2PZfsVSU4+XrR+/R45h678Pc+fJ7DDSMQai1EMhQsjwNe5m1Q7o0NGppaayc/7Cwdiz+cOoH/m/3/znH8ahrZ9A/ZiwAuXI6sghYHDgung8IcHQFZLk+F19zqHUeqFUXqFebpsvzUKu29uiq2JaDLacKgQqCw1fB+McAKM7NVi6M6iLLlOa1vPCnYsMGzJs2g8FA5LPPdihkzozeM/j5up95MuFJfr7uZ2b0ntHutjR+H7RrfgfGwOVPK+/XzgdzoWs75QLUet4CN9JmLYdD3yjvR87tcHMmkwnZJ0z50IiHVq0Bqr3Ya8IN6oK8EL10JAQmAFBkKaLMWtZoHV2oYpCS7QbEgAB8x45t0z5FoxG5xqNLKi9vZ8/dl1aPxbJsOL1Z+euKcp2M28yxTkCt2txJlxZyUENDQ8PNyDqawql9uxF1Osbfeker6lTu3IU1NRXBx4eQm2/CZnWwd3U6ACP/kEBQN1+Cuvl2Yq9dS3jvfmTv3cHJfbuQHA7ETggbEP7A/ZQnJ2NatYrwhx7Eq+eFC03WHObShoajjuY9O7b910ZzD/SfcDlDJ19FdO++CJJA5cGzmJZmwflFZbAXVqEP8mrX/jU02sqM3jMYFzOOrPIs4gLi2Jazjfnb5vP5b5/jpfPikeGPIEgCkYYEsEr8lrsNY4iRMO8YTuwtpN+w2+HA55D8LNy5Gtwk1reGhoaGRvPYSyyY1igPVoP0H6O7dp6SUwgwFZxtUF4QRYKjml+sJVVVkb/oJQDC7rwTr54de2ALEOkXSX///kT6RXa4LQ2NJrn4PjjwBeQfVoxa173d1T3SuNCkLFXyXYUlQcKlrmnTN1T5W8egVetB1TO4Y/fEteEG9TUpDvyN/nTz6cbZqrOkm9IZGjG0QZ1aDy3RLwKfwZchGo1t37GPD9hsOCoq6FjARA/EWg6//ge2vI5yIy/A8NmQNBn0XqAz1vz1grRk2Px/ygMGQYTp/4Xhs7pagYZGm9EMWhoaGhpuhKmwgHUfvAPA4MlXEhLdvVX1ar2zgq77I7rgYA6uyaCq3EZguDf9xkW3qQ955jwyTZnEB8a3GD6lLWXbQlBsPN7+AVjKTeQc+43YAYNc1nYt3v374z9pEhUbNlD0/vvE/POfLt9Hewju5oMg1F+ALAjty3tWdjafTZ9/SNrObQ2+E0SRS2+dja8hkPL1WZh35jnDQzQsDPpw9827pqFOovyinOeVGb1nUO2oZtHORXx4+EO8dF7MMd4MVolKezmFljMUV+cS5h1D9tZDdH/iQQIOfwtZOyD1RyVEi4aGhoaGWyPLMqUrTiDbwCgcxm+ILyRNAcBht7H7+6VKOWQEBARRZOo9D7eYv7Pw/fex5eSgj4km/L57O12HhobL0Onh6lfhoyuUhToXzYQebfNe0fBgZBl2f6S8H3mn6xZo+dZ4aFUVOzfVemh1NOSgrcZDyxBxbjFtYlCiYtAqa9ygpasxaAl+EQRe0b9d+5V9fRFMJqSKinbVd1tM2fgX7gdTBATHQXku5KVA3qGavylQfOq8SjLs+0R5NYcswQ+PQK9JEBTbSQI0NDoHzaDVxQiCQI8ePToU8sAdUasuUK82teoCz9GWsiFZyQtQY8kIjmzeQFSry5aRScXGjQCE3jGL6io7+5MzARh1dSI6Xeujy357/FsWbl/ofFAwe+BsJsdPRi/q0Qk69KLe+VqXsY7X976OhOTMH+CKkCuCIJCY2JOCi0by26+/cGLP9k4xaAGEP/AAFRs2UPbjT4Q/+CDGHj06ZT+1tGYs+od4c9nMfmz8PNVp1IpOCm6Td5bNYmHX90vZ/cNyHDYbgiASO2AgZ347gixJCKLIlTf/Gdu6InIPpYJD2ZEu2Av/sTGgFyj78ZTTUytkRu9mvbM8ZY5pdD0dGSu39ruVakc1/9rzL945+A4jquKJIZAscyoyMsXWPABCjJGUmh0EjH0Ifv03rFsAfa4EXeeu11TrPFCrLlCvNk2X56FWbW3VVXWoAMuxEsBGiO/HCFd+7/zu4NqfKcnNodoLfrw4hzt63MLt4+5u0ZhlPX2a4g+VB8JRTz+N6OuaiAVqPWYarqfDYyV+tOJBse8z+OkxuG9zp1/TtAY1zwG30Za9F/JTFM+aobd1uLlaXZyqDTmoGLSKLcWUWksBnCEC24v9rGLQ0teJDpMQlMDOvJ1N5tGSTLkAiAGR+I0f3+Z9CoKAMTgYe14eDjWFHNz9IeJPj9MXGXk7YPSD6jbkCIvor3g426vBYQWLCczneTrLEnxyDUyZD/2vBbF+ZJzcsipOF5pJDPcjOsh1C1zdZo51AmrV5m66NINWFyOKIuHhzV+EeyJq1QXq1aZWXeAZ2mpzHNV1y9m85GP6jr20yRv1Wl1577wLsoz/xIl49Uxk90+nsZhtBEf60ufi1odByTPnOY1ZoKx+/eTIJ3xy5JMW60qyxMLtCxkXM67Dnlq1unpfPFYxaO3ewcQ77u6UH06fwYPwmzgB86bNFC5eTMyiRS7fR11aOxYHXBJD/IBQTuw9y9ZlJ8hJKyUnrZSY3sHN1pNlmdStm9i85GNngvT4QUO4bPa9RMQnYCoooGx3JvqTMo6dVVSiXNAaEwLxvyQGnwHhCDrl/2yI8qPwgxTQC/gOb34cecIc03APOjpWZg2cRbVUzXt73iEkQwlHkmVOBaDYqtwMhxgjCeoWDb0egb2fQNEJ5e/F93S0+82i1nmgVl2gXm2aLs9DrdraokuqtFG68gQAgfqvMUydC4FKlIGqinK2L/0CgD29i5BCvbl92kMEGAOabVOWZfJfeBHZZsNv4gT8J0/ugJr6qPWYabgel4yVKQvhtx/h7FHY8S5c8hfXdK4DqHkOuI22PTXeWYNmnAsT2AGcuvJrtNWEHDxVqnj4xPjF4GvomNHfVlATcjDinPGjNi9XUwYty8FtwDB0fhEIXm0PcS+KomLQAqRyFXholefD1tdgx7u1Wa2Vv9VmQIRu/SBq8LmXbzi8f6linKpF0MHMb7H7R5NdWsWpQjMn044xd/d0dMK5Z06yDELJaVg6h0KvePbGzSY7bjr+vr4cOlPKkl2ZyDKIArw8YzC3jKqf77u9uM0c6wTUqs3ddLV+2b5Gp+BwODhy5AgOh6Oru+JS1KoL1KtNrbrAM7SV5OY0yHEkS1KzSa4dDgdHdu6k9LvvAAidMxuL2caBdVkAXHxNImIbvLMyTZlOY1ZdInwiiPaLJsInghCvEAIMARjFhnGtJVkiqzyr1ftritrjFTdwKHqDkbKz+RRmZXS43aaIeOABAMq+X0n1mTOdth9o21j0D/Fm2JR4BoxX8kL88nkqdlvDeuVFhWQePsSp/Xv4at4TrHrz31QUFxHULZJrH3+aG59dRFh4d8o3ZWH+32mEzZU4sqtAJ+B7UTe6PTyMbvcPxXdwhNOYBeCVGITgpQO7jK1mpZ0rdGn8vnHFWLl78N08G/Y4PrI3eYZCHFfEgyBQbivGJlkxiEZ8HL7gHQiX/UOptPEVZVViJ6LWeaBWXaBebZouz0Ot2tqiq3TFYSSzA72QQUD3VBh1bhHCzuVfYTFXUBUikhZXwc19b27RmAVQviYZ87ZtCEYjUc8849LFUWo9ZhquxyVjxTcUpj6vvN/4CpR17j1La1DzHHALbVUlcPhb5f3IO13SpFOXd4iyodagVRNuMDG4Y/kFZZsDR4kFAEO3+iEHAU6bGhq0ZFmmfMMqZFkCQY9U3kQI/GZwOByYa4w5UoUHe2jl7Ifl98FrAxXDdWPMXAYPbocZi2Hcn6HnZRA1iB0D52GXlWc/dlnkNZ8HmfS/NPrPW83Ef21k7se7eXGLiafsd9crt9B+B6/bZ1Aq+xFuzWTaiReYtuEqjq74P5btTHOut5ZkePLbFN7+5QQZRW3wEmsCt5hjnYRatbmbLs1Dyw2wWCxd3YVOQa26QL3a1KoL3F9bSHQM5ydOak2Sa/vPqxGrqvDq2xffMWPY9cNpqqvshMb4kTSiW5v60NiDAVEQ+eLqLxp4XeWZ85i2bBoSUr2ycQFxbdpnU1gsFgze3sQPGcapvbs4sXs7EfEJLmn7fHyGDcNv3DjM27ZRtPgDop9f2Cn7qaWtY3HcjF6kpxRSml/J7p/SGXtdL+d3KRuSWbv4zXrGUL2XF2Ouv4URV1+HXGqn9PuTVO7NR7Ypx0r0M+A3Ogr/MTHoAptOuCuIAsbu/lhPlWE7U44x2s+lujR+v7hirIwvuwgLRWwK3Msnju/5yx2zMH22iZLqs3TzjqP6TDmGKD8YMQd2vqd4aW39L0x+ruMCmkGt80CtukC92jRdnodatbVGl+Xnb6g8FA1IhBjeROhztZI7CCjJzWb/6p8A2JyUi15nYGb/mS22KZnN5L/8MgBh99yDMd41q8rr9Vulx0zD9bhkrAy7HfZ/ruQHXf0PuOXzjrfZQdQ8B7pc28GvwG6ByEEQO8plzVosFgit8faqMWjVek51OH9WoQVkEHz0iP7nwmLWtptlysIm2TCI576zpqZiy0jH2LcEwTcMe3FVs/eoTeHw8kIPODzBQ6ssG4pPQmgv8I9U8v3ueFeZ27VED4Pcg1B3wbGgg4h+zo+SJLM7vZivdmfy3f4+RPFfEsR80qVI8qxhgGJ48tKLJIb7ERXkzdJjl7PZMcRZLl8I4+/T+vKt41F6ZnzDyJwv6G4vYoHhMx7Wr+Aj+5V87piKCeVZwL/WHONfa44RF+rD+KQILu0dzrheYQT7GtscnrDL51gnolZt7qRLM2hpaGhouAEBYeF065HI2XRldVRrklzLNhv65GQAQmfNwmK2cXC94iE1enpPBLFtq1D3nd1X73NtXqzGQghG+UUxf9x8Fmxb4PTqaqpsR0gaNabGoLWDsTd0PG54U4Q/9CDmbdso/e47wu+/D0NM84bEC4mXr4GJt/Xl5/dS2J+cSdKIbkTEBZBzPJXk999oUP6meS8R6oig5PPjWI+XOLcbovzwHx+D79BuCIbWee4ZYgOwniqj+kw5fqNce2w1NNqLZLFjOabE/A8YFgU58EbBZ9xqiKXYmltj0KrAbyRKjokpC+DrmbD9bRh1FwS6z/zW0NDQ+L0jF2ZRulm5lvTTrcJLTIUtaTDyLgjqzuYlnyA57FTG+ZAbYeHGpBuJ8I1osd3Cd9/Fnp+PITaWsHvu7mQVGhoXAFGEq/8D70+A336A48nQ54qu7pVGZ1B2Bra9pbwfOVdZ+OpKfGtyaFWVgORwemh11KBVmz/LEOFTzyO2m283fPQ+VNmrOFN+xumxBWCqeZ4hGBXPLHuRBa+EoDbvW67JjyhVuLlBa99n8MMjNeEBBfAJVo4DgGiAgdfDmPuh+wjY9xnyD39FkB3Igg5h+uvIgTGknCll5YEcfjyUS57pnIEhjzDypDDn56f/0J+rh0QTHeiNWPNs6OvdmTy9/DB5Uhg6QeCVGYPqhBEcArZn4cAS7L++RrgpiycM33C//gf+n2MqH9uvIjauB4ezy8gqruLLXZl8uSsTQYDuwT5kl1Qh4/rwhBoajaEZtDQ0NDTcAElyUFaQD8Dkux6g14jRLSa5Ll26FLG4GDE4mMBrrmbHj5nYrA4i4gNIHNb22LY/nVJWvz447EFGRo4kLiCuWQPVjN4ziPKN4r5196FDx4TYCW3eZ0v0GjEaQRA5e/okpsICAsNbfoDRHnxHjMB39Ggqd+6k6H8fEjWvc7042krPYRH0Gt6Nk/vOkvy/bYRHpXJk8/p6ZXSCgQT/gTi+KaTQVJPsVQDv/mH4XxKDV8+gNofaMcb6A1B9xs1vDDR+V1QdLQK7jD7Ch2vGzODN5e+DAAXBVoorlTxa5sxiQmor9LsG4sYoqx43LILr3u6yvmtoaGho1Me07jR2OQaRIoL0nykbZQcUnyIru5gTu7cjiCJrEk4iIDBn4JwW27SeOEHRJ58CEPnsM4je3p2oQEPjAhI1CMY8ANvfglV/g8SdYGjZE0LDg9j3Gfzwl3ORWySp+fLtwafGQ0uWwFLmMoNWbZh6fbf6ebhEQSQhMIHfin/jdNnpegat8uS1ABi7h2DLB3txOz1AfGoNWm4ccrAsu44xC0BWjFnewXDxvcrCu4A6z1+GzyIvbCwHd6wnuM9YthZ488O/N5JedC4dQICXnkv7hPPz4by6wX7QCQLTh0Y38JS6ZVQ8E/pEkF5YSUK4b0NPKoM3jLoL/fDZ7Fj5PqH736aPmM1D+pXcZ0xGnzibypseZEexD7+mFbIlrZC0sxWcKalyNiHJ8NTyFC5JCic2pGM52TQ0mkLLodXFiKJIUlISoqiuQ6FWXaBebWrVBZ6hrSD9NFazGaOPL0MmX9miMatk6TIKFr0EgFRWRv6yH0nZqMRSv3h6YpsNF+ll6aQUpqATdNzU5yZGRY1qlbfVuO7jGBw+GAcOVp5c2aZ9NkXd4+UbGERMX8Wt/uSeHS3U7BjhDz4IKIZCW35+p+yjI2Nx8ERfHJbV5KW+xeGNa5Frbm58dQEMCZnItXEPMjJ8GoJJQvDS4X9JDFF/G0n4rAF49wpuV94IY6wShtKWZ0a2N30z5QlzTMM9cMVYqTpYAIDv0AjOVJzLIVEQUk2xVTFoyfnWc2NWEOCKF5X3B5ZA3uF277s51DoP1KoL1KtN0+V5qFVbS7qqc82UH1KuT0IM7yIKNQ/pBB1ycAIbP/sfAJUDgykLsDG1x1R6BPZodp+yLJP3wotgt+M/eTIBl13mMj11Uesx03A9Lh8rlz0FATFQmgG//sc1bbYDNc+BLtPmNHjUsUys/oey3QU4dRm8wCsQgErTGfLMeYALPLQKaj20GhoxnHm0ys7l0bKeOEH1yZNgMOA9IAEAR1FVg7otIYoiYXGxSn13DTkoy7DnwzrGrDrc+BFMeqa+MQv4ZNtpxr17nPv3x3Hr12d4c8MJ0osq8TaIXDMkmvfvGMHuZ6fwzu0jeGXGYHQ19/s6QeClGYOaDPsXHeTD2F5hzYcF1OkZc/1DBDy2m9SJ71EdOQy9ZIFd7+P73ggmpT7P/LFG1j42kbf/dFGD6pIMN7y7jSU7M7A0kgdcO394Hu6mS/PQ6mIEQSAoqO3utO6OWnWBerWpVRd4hrbMwwcBiB0wCFGna7asLS+PvHnzzm2QZXZ9eQB77OVEJgbSY1BY05Wb4KfTinfWmJgxhPu0zbvrht43kFKYwvK05cwdOLfDCbfPP15JI8eQnXqUE7t3cNGV0zvUdnP4XjwKn5EjqNqzl6IPPyTq6addvo+2jMXyokJKcnOQJAcpG5I5vmOL8+ZGZ0zk6ltnoztejj5PRBSUiwqHj0TolCT8RkQienf8J14X4oXoq0eqtGPLNWOMazwBuyfMMQ33oKNjxWG2YUkrBcBnSATxfl6IgogkSxQEWzHby7BIlXjjiy3P7DTKEjcKBlwHR1fAuvkw81tXyKmHWueBWnWBerVpujwPtWprTpcsyZR8exwk8BG34qOrWbgk6GD66xw9dJyzp09i8PHmm0hlIcKdg+9scZ+mn1ZRuXMngrc3kU895TIt56PWY6bhelw+Vrz84apX4JtZsOV1GHILhPd2XfutRM1zoMu0FZ9saPCo8VglqHuHm6+nyzcUrCZOFx4FINQ7lGDv4A61bz+rGKP03RoaShKCEoD6Bq3acIN+48ZiiAkCctvloSUIAr4REZgAqdwNPbSKT8NPj8HJDQ2/Oy8vFoDF5uDN9Wm8vfFkg+ILrx3AjSPi8POqf6/foudVO4kO9iP68tvgslvh1EbY8iqc3gwHPlcWCg74Ixdf9BCioBix6pJvsvLMd4d5bW0ad41P5PYx8QR6K/nTtPOH5+FuutzDrPY7xuFwsH//fhyOhhZrT0atukC92tSqCzxDW+aRQwD0GDS0xbLV6Rn1Vm1ZvILJjhkPwOhre7bZoCTLsjPc4DU9r2lTXYCrEq/CV+9LhimDPfl72lz/fM4/Xr1GjQEg62gKlk6MiS0IAuEPPABAyVdfY1qzBltenkv30dqxmLIhmcUPzWXpC0/z7aLnOL79V5BlkkaM4aL+f2Zy5I34/FqFMV+PKIjIUTp8r48l/rkJBFzS3SXGLFD+J4Yag0D1maZvDjxhjmm4B9XFlRxevZvq4sqWCzdC1ZFCkGQM0X4Yuvkq+fzGzkcURAqDrMjIlFgUD8sGY3byPCU2/Yl1cPK7hcXdAAAgAElEQVSXjkppgFrngVp1gXq1abo8D7Vqa05XxbYcbGcqEDATbHgfrnsPZv8If03BNuBmtnylhB+sGhlJpdHGmOgxDAwb2Pz+Kio4+89/AhB+/30YY9v2ALiixMKZYyVUlLT8QFWtx0zD9XTKWOl/LSRNBckGPz1e36PnAqHmOdBl2gJjG24TdBDaMc+pWurpqsmjdaokDaBeGMD2IEsytkLFoGXo1oyHlumcQat8jWLQCrxiGvpQxQBjL2q7QcvhcJBZWKi8d6eQgw4bbHkN3hmrGLN0XtDvauWYgnMBR62x0uaQ+HxHBhP/9UujxiyAPpGBDYxZtbTK86q9CAL0uhxm/wB3rYO+fwBkOLqCiCVT2RL7DheLxwDFQ+yFPw5k3jUDiAnyprDCyj9Xp3LJyxt45edUzpZbOFNs5rPVOzhTbHZ9X7sYtZ4b3U2X5qHlBkidERPXDVCrLlCvNrXqAvfW5rDbOPObsvI0rhUGLV1E/TxSGfFXIosGonv4EtsvpIlaTXOo8BBZ5Vn46H2YFDepzfV9Db5clXgV36Z9y7LjyxgVNarNbZxP3eMVEhVDWGw8RWcyOb1/N/0vvbzD7TeF37hxGGJjsZ05Q/YjfwVRJPr5hQTfeKPL9tHSWCwvKiR58Zv1bky9RB+mX/M4hnQByVINenDIMo74QOJu6I0hys9l/TsfY6w/1uMlLebRcuc5puEemHfnUbI8jWAZzm7aS8iM3viNajm0aV2qDik3qz5Dz50HZ/SewbiYcWSYMkje9SLF1blE+yY2HLNhvZTY9Dvfg7XPQeJmJcG6C1HrPFCrLlCvNk2X56FWbY3pspdaMCWnAxCk/xhdryEw9FblgRmwZ9mXVBQX4R8RwUcBuwC4c1DL3lmFb76FvaAAY48ehN7Zcvm6HN2aw8bPU5FlpRuXzezHgEti2qxNQ6MxXD5WBAH+8C94Zwyc3gSHv4XBrrtfaS1qngNdom3//6v/+TyDhytw6qo1aJVnAh0PN+gosYBdAr2ALqRh3sLEwHMhB2VZxpaZifXYMdDp8J90OaKPUkcy25CsdsQmjDZNIXkrRhypwk0MJGf2KOEj82tCnSdOgGteV+5HyrIVr7vQnhDUHUmS+eFQDq+uPU5GTX6sqEBv8k0W6pqqdYJAQrgb5KSKGwW3fQn5RxSD3eFviSnYwjfGLZi6jcJ+yaOEDukBgsAdY3uw8kAO7206SdrZCt7bdJIPfj2Fo8ada8Gmjbw8YzC3jIrvYlGuRa3nRnfS5ZEeWps3b2b69OnExMQgCAIrVqxosc7GjRsZPnw4Xl5eJCUl8cknn3R+RzU0NDRaQe6J49itVnwCgwiPbfmHvGrPOS+oKu8wcqLHAjDmxr7tCvf348kfAZgUPwlfQ/sukG7qcxMA6zLWUWYta1cbzZE0StF4Ynfn5tGy5+djy64To1ySyJ033+WeWs1RnJvtNGYFGSIYFX4V0+MeRJdiQyqvRgwwUtkrmGSTnfVpZVjbeLHfVoyt8NDS0GgJe5mVkuVpOO/KZChZnoa9zNrqNhzl1VhPKuEGfYfUN+xH+UUxOno0/QaPdubRKjndyLyd8ISSMyAvBQ593S4tGhoaGhrtR5ZlSlecRK6WMApH8NMlwxWLnMasiuIidq1cBoD1ku5UYmFA2ADGRI9ptl3LseMUf/45AJHPPotoNLa6TxUlFn6pMWYpfYSNS1Jb5amlodFlhCbCpY8r79c8DRbX34NpXEDyUmDrf5X3099weqwyfFbn7K/WoFWpXDd31KBlK6jxzgr3QRAbPpPoEdgDAYHy6nKKLEXnwg2OHo0+JATRW4/op9zXtsdLC98ag1ZXhRwsy1ZC8Z09Bj/9Df43RTFm+YQqHsizVirGLCCXULZJ/cmRQ1h3NJ8/vPErj3x1gIyiSsL9jSyYPoBNT1zGKzcMpvZfKQo0mxerS4gcCDf8Dx7eAyPmgM5I4NndhH73J3h/AhxZgUGQuWFELGv+OoH/zRrJoJhApzELlDCFTy1PIbes7bnTNH7feKSHltlsZujQodx5553MmDGjxfKnT5/m6quv5v7772fJkiWsX7+eu+++m+joaKZNm3YBeqyhoaHRNFmHlXCDcQOHILTCW6D0m28ACLn/Pg4X90L+/+ydd3xUVfr/3/fOTGYmk55ACiQkhEAgBAi9WECQqIgisva1rGXdta3ud13dtWFZXHft5eeqi+jaKRZQBKSIQOidQAgpJIEkkDZpk2n3/v64yaRNegLJeN+vFy8mZ86993zm3DNzz3nO8zxntEQODyQiruPeWXbJzprsNUDnwg3WMSJ4BPFB8RwrOcbKjJXcMuKWTp/LHUMmTGbH11+StX8PDpsNbQcWKTpC03COAEgStpM56MI65knSWawVFUR4D2Go33hCjfWJzzVhBvynD8I4MgRZFDhYsofCrHI2f5HG5fcmdjl3WUvUGbQcZ6qRrE5Efes53lRU3OEoskDTaDiyUq7117frHJZDRSCDV6Qv2qDmOz8B4kdOZHPKYgB0xTLV1ZV4e/vUVzAFw4WPwE/PwIbnIWEe6HrRxFBFRUXFw7EcLKLmWAngIFD3JsLYmyFspOv9LV/+D4fVSljcMN6RlfCwvxv5u1afc2RZpuDZZ8HpxHf2bHwuvKBDbSrJr2r2GyVLYD5jwceNp4GKSq9h2kPKBp3iE7DhBbjipfPdIpXO4HTAdw8o+bJGXA3jbuv5a9YZtGqKga4btBxnFM8ibT/3G2QNWgMRPhGcqjzF6szVTFqtpDzwnT3bVUcTZESqqsBZUgMRPm7P0xKyUXmed/ZgioIW2fux4o3VNP/Z6BuVDRum+hznX+7K4fEVh5rlm/I1aPn9RYO5Y1qMK6Tg9ROimBYbzPodB5g5aTQDg3ouKkuXCI6Fua/DxX+FlLdh92IoOAhLb4PgOLjgYcRR1zFrRCjeXhpu+mBHo8MlGTYePcNNkwe1cAEVleb0SQ+tyy+/nOeff55rrrmmXfXfffddYmJiePnllxk+fDj3338/CxYs4NVXX+3hlraNKIqMGDECsZtD3pxvPFUXeK42T9UFvV9bzpEDAEQljGqzruXIEWqOHEHQ6bBdOJ8zZ5WHmolXde4BNOV0CqXWUoIMQW3ufG0NQRC4Nu5aAJanL0fuQhx3d/0VOngIPkHB2K01rs+rJ/CKHtQ8BJko4jWoe1zgW7sXpRoHFVtOoVlZzYWh1xJqHIQkS+RUHaN8opWwh8bjPaY/glZEFAVm3BKPqBHIOlBExt6z3dI+d2j8vND4eYEM9tPuJwi9fYypnH+0IUZwsxYpGttvIK0+oNznDcMN1pFvtrAtowhdeAw1zkqqHRWIiCz75fPmJ5p0r5KjoDwPtv+/dl+/LTx1HHiqLvBcbaquvoenamuqS6q2U7ZSyQvip/0Snb4ULnnCVb8wK4MjP68HwHpRJOX2cqJ8o5gVNavV65i//RbLnj0I3t6EPv5Yh9t58lBxszJBBP/+LW948NQ+U+l+evRe0erhin8rr3e9D6f3d/81WsCTx8A517bj/8HpfWDwh8v/1WOXaaTLOwg7kOtU5neDA7po0Kr10NK6yZ9Vh1GrfKcuXv9PnKlpyIKA76yZrvfrNqx11ENLFEXiRo8BQKqs7NJaRIcxn3JvzJr/AVzzbiNjVr7Z4taYdcvkQfzy6AzuvySuWX6sAYHeXDc9iQGBvSDUYFv4RUDyC/Cnw4pxy+APxenw7R/hjSTY8R4xgSJuHPh44tvD/PPHY9TYe0d+pq7gqd+NvU1X72hFD5OSksKsWY0fgpOTk0lJSWnxGKvVSnl5eaN/oCRBq/tXFztSkiS35Q3LWivX6XRuy2VZRpbldpcDLZY3bWNL5d2lSZZlvLy8PE5TXblGo/E4TQ11eZKmun86na5Xaqqprib/+DEAIhMS29RUWuudVTz9dla+f8K1m7Qor6JTmlaeWAnA5dGXI8hClzTNGTwHg8bAibIT7Cvc16l+qmt7wzFW15bY8ZMASN+R0mP9JPbrR+gzT7vC3gCEPvM0Yr9+nb73mvZH03FmPVNFyXcnyF+0E/OqTPSSEavTgnO4FukaX0Y8eRXDrp6BIAiN2h4QZiQpWTG0bf4ijSpzTY+NJ+0AZYdcTU55i/eYRqPpkfGk4hlo/fUEzo9rZtQqW5mJ7Gw7FrejrAbbyXIQwDsxpNF7X+7KYdqLG7jp/R1csSQNQW+k1KqEG8xMTSW9Ntm1C50RZj6pvN7yKlQVdVpXU7x6yHv0fOOpusBztam6+h6eqq2hrrIfspAq7Wg1+fhqlsIFfwJfxQP+RFYuK15/GWSZYVMv4jOzEhL79pG3oxFb3vzgLC/nzL+UBf1+f/wDuvDwDrWvMKucQz/Xhpuu/Y0SRJh+c3yb3lme2mcq3U+P3iuxM2DktcqC+qqHQTp3z8+ePAbOmbaSLMW7DmD28+Ab2qOXc+nyDiZHp8UJeGu9CfXu2nXttR5aun7uNwIUVBVwouwEAJPSlDnm0UgoMjpcdbTBtQatko6HnzME1UarcTqRLecwfF3GhubGLHD9ttUhyzIfbTvZzJgFMCcxnADvlu+3PjfOTMEw42/w8BG49Fkw9QdzLqz+C+GLJ/LNqB34C8r9IgoweqA/kgz/b1MGV7zxC3tOlpxnAV2nz/VZO+lNuvpkyMGOUlBQQGho4y/n0NBQysvLsVgsGI3Nv3AXLVrEwoULm5UfPHgQHx9lYS84OJjo6GhycnIoLq7f1RUeHk5ERASZmZkuQxjAoEGDCAkJ4dixY9TUNN5xMGbMGA4ePNgowdqIESPw8vJi//79zerabDZSU1NdZaIokpSURHl5OSdOnHCVGwwGEhISKCkp4eTJk65yPz8/4uLiKCgoID8/31XeXZoGDx5MZmYmoih6jKYhQ4bg7+/PoUOHPE6TJ917LWkCSExM5NChQ71KU/bBfTgdDvS+/jh1StitFjXt3In+2++w6gPYbx/dSMfPnx2nXMpH7yO2W5PFaWFD7gYALgi+oFF/d1bTlKApbDy7kQ92fMCdA+/s1L2n0Wjc9lPUqLEcWPsDaTu3ETx+ChqNtmf6KTYW4dmFGJ98CoCi2FiyGnw2XRlPYrWEplLGaRIYFhZLxdZT2NLKXGv81ZpqUgs3Y42QGTLyWkCmODcPw9kit5oC43wJDDdRml/Fqg92MWS6d7v6qaPjqURbiQk4eziXEz5nWvyOSExMxOl0dtt4Sk9vYohQ6dOYJoShi/Xj2I7DxMbGUvZpGrascszfZxFwVWyrx1oOKkYnr2h/NA1CFDbd6SghcFIMYbgtnwGmOGItA3k25Vk+uvwjRKHBPq7E6yDlLSVfweZ/weX/7LI+SZLYv38/Y8aMQaPxnNCcnqoLPFebqqvv4anaGuqyZ1dQvbsQgEDNKwh+/WHK/QAsXvw5JWs+RUDZq7XXXkJhdSEhxhCuir2q1Wucff0NnMXFeMXGEnRrx3LNOGxO1n+UiizJxE0IZer8WMxnLPj3N7ZpzPLUPlPpfs7JvZL8D0hfB6f3wp4lMOHOnrlOAzx5DJwzbbIMq/4EDgvEXARJv+25a9FEl3cwmbWb62P8Y7oUvl6WZRxna0MOtuChlVOe43o96ZgyV94+TCCqIpcwk2L80QYpa7OOko55aEmSxMG0NLw1GnA6cVZUInqfA4+mwyvgh780Lxc0EFTv8VZUaeVvKw6xNrWwWVWNIBAd0nJb+/Q40/sqYVEn/h72f6LkiCvLYVTa6+zz9eVwyBWEXPEEEQOjWHOkgCe+OUzm2SoWvJvC76bF8H+zh2H06mOa6eN91gq9TdevwqDVGR5//HEeeeQR19/l5eVERkYyatQo/Pz8AFxf+FFRUURGRrrq1pUPHtzYZbeuPD4+3lXmdDpdC7ejRjUON1bnxjdmzJhm5QaDoVk5KAuB7sqDgoIIDGyeXycsLKyRsa87NAGuXf0JCQmNbvS+rKmu7QkJCRw6dIjExEQ0Go1HaBo1apTrXkxMTHR5DfZ1TXXUaRNFsddpOr1zi/I6aRzBwcGtahqUl0dhTQ22uHE0c3OQYWD/wQwYGtBuTSszV2KTbET7RTMlZkqzup3RdGvSrWxcu5FdFbtYNGIRvnrfVjW5+96r88qpG2N15YPHjMXL24StqpJQkzcRQ+ObaWpIl/ppzBiyP/4ftvR0+hcUEHvZZc3qd0QTwFBHOOYfMlxedSUcUc4H6IcGoB8fwjevPYy1qpKr5z5BTDs1+f+2kuX/2kNRup1JyVFEDg/q9vEUOW4IJYdSMVXpiBkzptn3XsMxptPpum08udtwotK30fjrsffXYIgNIOj6YRR/nErlttPoInwwjW95Z2hduEHvJuEGs4qqmu10zNeHUlLroTWsJoaXzi5hRfoKFgxdUF9JFOHS5+B/82DXBzDxHleiZhUVFRWV7kW2Oyn7WtnUYvJah148CjPfBS9vMrLzKF7zmSt0jAAYdx3Ce4aGW8begl7Tcp5Fy5EjlH6uhJYNe/IJhA7uHN7xXSalBdV4+3lx0Q1DMZh0as4slb6Jb5gSvnP1o7B+IQyfCz79z3erVNpi/2eQuQm0BrjytUZRQnoc72AyvZR1n67mz5Kq7EjVDhBqw4y7IcovClEQ8S93El/rFLsrXsOffevnqp0NOQiAICCaTEjl5UiVFRDag/e/06GMs21vKH+HDIXiDCUHmqCBua+B/wAA1qUW8viKgxRV2tBpBC6J78+61EIkWTFm/WP+SML9PXzOqzPAhLtg7G1weDn88gpiURqjTn+JvOQ7GHcbyVMfYPLDF/Pc96ks25PHf7dk8dPRQl6cP4roEG+yiqqICTF5/mel0m5+FQatsLAwCgsbW8ILCwvx8/NrcbFMr9ej1zd/eNZoNM0skS3Fj2zJYtmT5YIguC1vqY0dLW9vW+oWpN19Xh05D/QeTU3Lm2rzBE11r+sWtz1FU1tt7Gj97tSUl6oYtAeNHO2q11Iby5ctB8BnxsVwvElbRQgKM7V5TzbU9EPWDwDMGTynxWt2VNO4sHEM9h9MpjmTNTlruG7Yda1qaqmNde81fF+r82Jw0niObf2ZrL07iRye0ExTV9retNxn6lRK0tOxbN9OwJw57Wp7S+WO0hrMX2c0Kzcm9cdvRiS6/t4cWLcaa1Ul/qFhDB43AdFNeB13bQ8b7M+o6QM5uDGPzZ+nc8OTE/EyaFqs39G2AxiilI0czpIaBKuE4K1xW18QhBb7ozP91Bt2/qj0HMYRwfjOjKJifQ6l36SjC/XGK9K3WT17kQX7qUoQwTgyuNF7MSEmRIFGRq1CfSgl5YcBiLD1w+Q08uqeV5kROYNgY4PjY2fAkFlw4idlUnrdxz2iU0VFReXXTsXGPBxFFkQvC/7C+xA+GkZdD8Dx41mINN6ZICIQUuPreo50hyxJFD77HEgSfldcgWlyx3LBnk4vY//6XABm/DYeg0nXQVUqKr2M8XfCvk+g4CCsfRLm/+d8t0ilNSrPwJq/Ka+nP37uN1YZg1weWl3On3VGCfGnCdAjtuBRE2YK4+kpT5PyphIFJW0AxMSOc3lnQX3IQWdZDbJTQtB0LEuO6OurGLQqKjojo31UFcOyOyDrZ+XvqQ/CzKehshBKMhXPLP8BVNTYeW5VKl/tzgNgWKgvr1w/moQIf/LNFrKLqokO8f51GWg0Ohh9AyReh/PoSmrWvoDJnAY73oVd/8V/9PX8e8bDXDlqAo+vOMTJ4mpufH+763BRgEXzE7l+QvfkN1fp2/wqcmhNmTKF9evXNypbt24dU6a490hQUVFRORdYq6sozFB2q0YmjGq1bk3acSwHDoBWS54xodF77Y3z35Cz1WfZUbADgDkxzY01nUUQBK6NuxaAZceXddt56xgyQVmsOLFrexs1u45p2lQAqrZu61JiWWtmGWffO+T2PdP4UHT9vZFlmX0/KvnMkpLnujVmtcakqwfjG2SgoriGHd9ltlivoKqAnfk7Kagq6ND5RW8dmtoJhu1UZYeOVVFpDb+ZURiGB4FDpviTVJwVtmZ1LLXeWfohgWh8Gu++D/c3smh+IpoGO1oL9KHYpBoq7aUAzNRdQLmtnH/v/nfzBlz6rPIlmvot5O7sRmUqKioqKgDaMomqX04DEMhriEI1zH5B8ZQFjCFhNH3KkpCZMjwZX6/mmxzqMK9YgeXAAUSTif5//WuH2mSrcbD+o1SQYfjUcKKb5GZUUemTaLSKlw8CHPwCsrec7xaptMbqv0JNGYSNcoVfPad4B5NVF3LQd1CXTmWvDTeoayHcYB3z4+ZzT7GSN3zHMJHdhbvZnLfZ9b7o6wVaESRwllk73A5NbXoYZ0UPzVdP74f3pivGLJ0JFnwIs59Txp7/AIi5EPwHsD2zmMtf/4WvduchCPD7iwbz3QPTSIjwB5T5y5TY4F+XMashogjxV3Lswndw3rwcoi8Eya4Y5N8az/SDj/LTTYHMGxPR6DBJhr+tOEy++RzmSFPptfRJg1ZlZSX79+935e7Iyspi//795OQoMVkff/xxbm0QP/vee+8lMzOTRx99lGPHjvHOO+/w1Vdf8fDDD5+X9jekLgRaSzvU+yqeqgs8V5un6oLeqy3v6GFkWSIwPAK/kH6t1i1bulR5MeMqMg6WATDn/lHMfWg0v31+CiOmRbRydHNWZ61GkiVG9xtNpF9k2wd0gLmxc9GJOo6WHCW1OLXtA5rQWn9Fjx6HRqulNP8Uxadyu6O5LeI9fjyCTof99GnsDXI8tRdHaQ3Fnx7l7HuHcJa6CZvQICTDyUP7Kc7LQWcwMnLGrA5fy8ugZfotwwA4uDGPgkxzszor0leQvDyZO9feSfLyZFakr+jYNQYqi0q2vOY73nrrGFPpfTS9VwRRIOj6YWj7GXGabRR/ehTZ2Tj/YfXB2nCDo9x/T14/IYotj83g87snM3dUOFaNnnJ9oCvs4O2BNyIgsCpzFdvzmxjDQxNgzE3K67VPKLkMukmbp+CpusBztam6+h6eqk0y2+i/D5BkDH4ZGMWtMGyOsugHOCWZN1IKqRHqI6NIyOxINPP7C3/f4nktaWkULnoRgJAH7kfXwdBSKV9nUF5Ug0+Qngt+E9dxYXhun6l0P+f0Xhk4Dsbfobxe9Qg4mm8U6i48eQz0uLa01XBkhRKe7qo3FYPIOaChLsngT5ZOue5gfVCXzus4U5s/q1/rBi1HcTGOfQcBCJ9zDQBPbX2K0hplE5ogCvVhBzuQR8uly1eZr0pVPWDQ2v85LE4Gc47ihXXXTzByvuvtfLOFTWlneHzFQW58fzt5pRYig4x8ec8UHr9iOHpt5yKPeOo4E0WRMUlJiENmwu2r4M51MPRyQIYjX2P6cAZPVzzDOCGNMIqZIh4hjGKcskx2UfX5bn6reHSf9SJdvaMVHWT37t0kJSWRlJQEwCOPPEJSUhJPPaW4rubn57uMWwAxMTF8//33rFu3jtGjR/Pyyy/zwQcfkJycfF7a3xSbreceMs4nnqoLPFebp+qC3qkt57DyMBc1cnSr9aSaGszffQdA9oBLkWWIHhXCoIRg+kV7dyrW/6rMVQBcOfjKDh/bFoGGQGZFKUaZ5ceXd+ocLfWX3tubyNrPq6e9tERvb4y1vzOV27a1+zjJ5sS87iQFL+/BcqgIBDBNDsf/ysH1qc8ECJwfh9ZfWcDZt1rp35HTZ6H3NnWqvVEjghk2OQxk2PjJMZyOeqNAQVUBC7ctRJKVMkmWWJiysEOeWl4DlB1vtlz3E4TeOMZUeidN7xXRoCX4tyMQ9Bps2eWUrar3MrQXVOEorAaNgDEhuOmpXNTtdPznglEM7mciT1efRyuo1MT1w5TQVs9vfx6rs8mOzxl/B60RcnfA0ZXdqs1T8FRd4LnaVF19D0/TVrWrgMKXduMsqgFk9NUbQdQqnrG1fLg1i7wT6RhlK6LOi7QZgSybcYrEmZfSz9v9JoayZcvIvnoeUlUVAGIH823mHi3h8M9KApdLbh2Ol7HzC8me1mcqPcc5vVdmPgXeIVCUBilvUVlaQ15aKZXuNth1EU8eAz2mraZcMTYCTL0fIprnGO5J6nTl15ylRhTRyjKRYtc8hexnFY8Zbf/Wz1Px03qQJAwJCdyT/ASx/rEU1xSzMGWhKyJKZ/No2Ww2NLUGLWd3hRw0n4ITG+Dre+Gbe8FRA3HJcPdGCB3hqvblrhymvriB2z/cxec7c5FluGFCJKsfuoiJMV0zFoLnjrNGuiInwk1fwL1bYeQCEEQCT21iuX4hKfoH+NzrBbbqH+Q6zUZ2ZZecv0a3k19Fn51n+qRBa/r06ciy3OzfkiVLAFiyZAmbNm1qdsy+ffuwWq1kZGRw++23n/N2u0OSJFJTU5Ekqe3KfQhP1QWeq81TdUHv1ZZz+AAAkQmtG7Qq1qxBKi/HNmgkWScVDRPmRHdaV2ZZJkdLjqIVtCRH94xh/9qhStjB77O+p9resR00bekaMl4JO5hxLsIOTq0PO9gSDrOVmowyHGU1VB84S+HLe6hYnwMOCf1gf/o/OJbAeUPwvWAA/f8yjpKL9fT/yzhME5R44aX5p8jcuwsEgaTLumZgvGBBHEZfHSWnq9jzo+JVVmQp4vW9ryPR+POUZIncivZ7udV5aNlPNZ8g9NYxptL7aOle0fX3Juh6xcuwKiWfqt2KMarOO8swNBCxHYuO3l5a3rwxiSJjGCW2fABseZU8OPZB+hn7cbL8JB+kfNR4YccvQllQAPjpGXDaXedzjW9z22FPPHUceKou8Fxtqq6+h6dpc5itlK5Ib1AiYHbcgSPxPggZAkDm2Ur+tSaN2CplE0PgiMGkGPdjMUrckXCH2/PaCwrIf/KpRmUFC5/FXtC+DTpWi4MNHx8FIPHiAUTGd36h0dP6TKXnOOf3ijEQZj8PQOoPO/n4b9v49tV9fPy3baRuPd1tl/HkMdCj2tYvhIrTEBgDFz/W/edvhWfYd+cAACAASURBVIa6MsuU795BdjvamrIunbfOQ0vXhodWxdq1APjOno1Ba2DRhYvQilrW56zn24xvgfo8Wo6S9oeVq9MlmJTrS90RcnDvx/DaSPjkGjjwuVJ28WNw4xdgDHBVyzdbeGz5oUZBHkQBHpoVh4++6553njrOWtQVNhIW/Bfu3w0jFyADdZHlNYLMP7T/5bN1KTz17WEczt75mfzq+uw80ScNWioqKip9nWpzGUU52QBEJiS2Wrf0KyXcYN7YmxTvrMRg+g/y6/S167yzpg2YRqAhsNPnaY0JYROI9I2kyl7Fmuw13Xru2PGTAMg/kUZlSXG3nrspdXm0qnfsQHY4mr1ftauAghd3UvT+IQpe3EXJ58dwmq1oAvQE3RxPyN2JeIXXe1xp/PXY+2vQ+NeH1tm3RumPwUnjCQwf0KX2Gnx0XHj9UAB2r87iuR9eInlZsqvPGyIKIpG+7Q83qRvgAwI4zTa3eY5UVLqKcUQwfrOUJL+lX5/AcrTYZdjyHt16WNaGJET4c+WsKZRaC5FlGafZirdVz6MTHyW+cDLSJ4ObL+xMfVDZzVySAbs/BJqO751U7epY7jkVFRWVXyuOIgvNEmOhwTHsbkAJNfjosoNY7U5G2pUNOMuFXwCQkdlduNvteatSUpqHhpUkbCdz3NZvypal6VSWWvHrZ2TK/CHt1qOi0ucYfQOVYclsKr3LNWRkGTZ9eqxHPLVU2oH5FGx/F3Z9oPx91Rvg1boBqCfJNCsGrcF2B1R3fk4t2ZyufFeCoeWwes6yMqp2KDm8fWdfCsDw4OHcN+Y+AF7c+SJ5FXmd9tACEH1qQw5WdtFDy3wKVj4EcoOFe0GEsbe68j8CSJLMiz8ca54HUqbXh8Xr9QTHwrjbEJoUawWJaLGQj1NOcseSXZTX2N0eruL5qAYtFRUVlfNAbuohAPpFRePt599iPWtGBpY9e6g2hXLSrNSbcGVMp68ryRI/ZP0A9Ey4wTpEQWR+nBJTenl658IOtoRPYBDhcYonR8aend167qYYRoxA4++PVFmJ5eChRu+5dh83eYL1uXAAYX8eh3diPwSh6SNYY6zV1RzZ9BMASZdf1eX2yrJM6YCTVEScRnaCfUMIdqedUSGjuG7odYhC/c/+lPAphJnC2n1uUa9xxUW35XZTGAcVlSb4XhKFYUQwOGWKP0pFKlcmKc7q5gbl1vjd3ElYRSi3KxP0ymwz0/wu5uLMGxBrH38bLewY/GB67S7Zn1/EUVjUeHzLULoivV2eWioqKiq/dkS9m0VNQUY7QMl19dG2bHafLGUAZgzVJThFmbz+9bvx3YVFdprNFL31tpuLiXgNimqzTdkHizi2LR8EmHnbcHTu2qii4ikIAmVj/obcZMlPlsB8pv2eLyrdRJ23z49/Vf6OmgwxF53XJmWZswCIsdm7ZNCq2JTnen3mjX0tbgCr2LARHA70Q4eij6lfz7gj4Q6S+idRZa/i71v+jhCkbPx0diCHVh0aXyVEvrOrHloZGxobs0D5u6Q+LHqV1cG9n+zh2wPNvR41gkB0yPkzVnoMQbGKIbEhgoZ7r7kUo07DL+lFzH9nGznFqvHw14hq0OoF9JaEat2Np+oCz9Xmqbqg92lzhRtsI39WWa131qkJtyJLMKiJd1ZHde0/s59Tlacw6UxcHHlxB1vdMeYNmYdW0HLg7AFOlJ7o0LFt6YqtDTt4YnfPhh0UNBq8p0wBoKpBHi1Zlqname9m9zEY4oMQdC0vkjTUdmTTOmwWC0EDIhmU2Pn46Q7Jweqs1dz4/Y3cufZOvgl7F6vGQmhlNIsC/8MnV3zCk1OeZM21a3gw6UEA9p3ZR1kHw0t4DazNo5XX3KDV28aYSu+ltXtFEAX8kwc1KzevzOiQMUmj0TJw6DBKrErYwY2bsjCfrUFoss+v0cLOuNsheAhUF+PY/Fnz8S3Xeh20gqeOA0/VBZ6rTdXV9/AkbVW7C2tf1X2ROglMOoPWX092URUvrTkGwK3hZgBOhVhwaOu/dJuGRZYdDk79+f+wnzqF6O9fv0NeFAl/diG6sNY36NRU2tn4iXLNMbOiiBgS0Gr99uJJfabSs5yPeyVgWDzuJiun0ktd+Yq6iiePgW7T5s7bJ3eXUn4eqNNV76HVeYOWw2ylYkMDD9lWNoA1DDfYEI2o4YULXsBb683eM3tZWbJaOXdxTYfuU1EUG3hodcGgdXofrP1783JBA0GDAThVZmHBuymsTS3ESyNy3fiBaGo3smoEgX/MH0m4f9fykjXEU8dZm7r8B8Dc15XPvo7hc5k+YQxL751CmJ+BE2cqmffO1l6XV+tX22fnkN7Tkl8pGo2GpKQkNBrP2iHmqbrAc7V5qi7ondpyjxwEIKoVg5ZktWL+5huqDSHkCdEATJhTv5upM7q+z/wegJlRMzFqu+8hyx0hxhCX0awjXlrt0TVkgmLQyjl0AGt1z+7IMU1tbNBylFkp/iiVivVu8k8JoA1p+XNtqE2SnOz7UQkFOPbyuW16c7mjyl7F/1L/x5wVc3h086McKT6CXqNnTmIy465SwgnmrbdSURuyIcwUxl2JdxEfFE+1o5pPj33aoet5Rdbl0Wo8SeiNY0yld9Kee8VZ6SZ0RDuMSU2Jih9BiVXZJWo7Vcn+0uaGWEEA/7oE1hodzFqovD7yrdtztnd8exKeqgs8V5uqq+/hSdocxRZl0w8QpFtEiO5xwvS/w3T0HqSyPB5ddpAau8TU2GAMp1IBOBnW+FmuaVjkM/9+maotWxCMRgYt+ZAhG9YT9dFHDNmwnoAFC9ps0+Yvj1NdbiMwzJtJV3U+0kFDPKnPVHqWjtwrFcVF5Bw+SEVxUZev6xNoIGp4Q+OtYhzYtSqbnz9Lw9nF/DOePAa6VVtJhhtvH2cjb59zRZ0uURSbGLQ6Zwxw+2zu5pndWVlJ1datAPglz252SKRvJI9NVCIlvHziDWRAtjmRqtoXTq5Ol9Zf2fjb6ZCDJ1Pgo6ugxgwBg+oNKYIG5r4G/gPYm1PK1W9t5Wh+OSE+Xnx+z2ReWjCaLY/N4PO7J7PlsRlcP6Ftr+H24qnjrN26xt4KfzqkhIcHyN0JDhsjB/jz7f3TSBzgT0mVjZvf38HyPXnkmy1syygi33z+PFF/9X12jlANWucZWZYxm83dtkOmt+CpusBztXmqLuh92sqLzlKafxpBFBk4fGSL9SrW/YTTbCYn/hpkGaISggmNrvfO6qguu9POj9k/Aj0bbrAh18ZdC8DKzJVYne3zrmiPruABkQRGDERyOsg+sKdb2toSpqnTALAcOEj5xiwKX9lDzbES0AgYhgfhcvgQIHB+HNoG+bGa0lBb1r7dlBXmozeZGHHhJR1qU2FVIa/seYVLl17KS7te4nTVaYIMQfxxzB9Zu2AtT055kosuTSQiLgCHTWLTp8dcn6cgCNwz6h4APk39lApb+x/4vQYqBi1bXkWj/ultY0yl99Kee0UbYqRZwPQ2jMXuCI8bRolNWVQdjoYnVh9D2yTElC3YjE+gob4gfg5ETaHa5saDVQBnK15injoOPFUXeK42VVffw5O0lf+UAxLoxT14a7Zh0BxCKxSD7GTtL9vYmV2Ct5eGJy7sR1FONpIAuf0tLg9aURB5esrTrrDIZV9/Q8mSJQBELFqEYfhwdGFhmCZNbNMzC+DEnjOk7ypEEAVm3j4CbSte9B3Bk/pMpWdp771yaMNa3r/vDpY+9zfev+8ODm1Y26XrSpJM8WllUXeC6TNu7X8vU2f7gQBHfjnNyjcOUNNOg4E7PHkMdKu2oFiaPdg28PY5l9TpKrYUY7aaEYDoLuTQcvts7uaZvXLjJmS7Ha+YGLyGuM9fOG/IPC6JvIQaaij1Kgfan0erTpdgUnJXdyrkYMZG+GQ+WMth0AXwh62KIeW2Vcr/Y2/l2/2nuOG97RRVWokP8+Wb+6YxbpCSkzzc38iU2OBu9cwCzx1nHdLlPwAueQJ8QqHiNBxZAUCon4Gvfj+Fy0eGYXNK/HnpAaYu2sBN7+9g2osb+HJX+/Jrdjdqn50bVIPWeUaSJE6cOIEkdW13TG/DU3WB52rzVF3Q+7TVeWeFDY5D791ybOWyr77CYggmP0Dx4ppwZXSj9zuq65dTv1BuK6efsR8TwyZ2rvEdZGrEVMJN4ZitZn46+VO7jmmvriHjJwFwYlfPhh30GjgAr2Hj8J72f5SvyUO2OfEa5EfoQ2MJuS2BsMcmEnJ3ImGPTcQ0ofWFlYba9v7wHQCJlySjMxhaPa6OtJI0/r7l71y2/DI+PPwhFfYKov2ieWrKU6y5dg1/GP0HggxBgBK6bcYt8Wh0IrlHS0nbXh/PfGbUTGL9Y6mwV/DFsS/a/VnowkwgCkhVDpyl9Qv7vW2MqfReyost7Nl8jPLilnfNaf31BM6P65Cx2B3hccMos51Bkp0EIjK4UsJhdeJl0BB9hREZCV2RP+u3NvgOEQQck56lWlLyGgTP8ybk7pEY4gNBhpIv0pBq3Ofz8tRx4Km6wHO1qbr6Hp6izV5YRfX+MwD4az9u9J4saHhxp7J4/vjl8VSm7QMgP9iCydefFVevYHHyYtZcu8aVh9Wyfz8FTz0FQMgf/4jfZckdak91uY2fP0sDYNxlgxptDOsqntJnKj1Pe+6ViuIi1r33pmuhUJZl1r3/Vpc8tfKOllBltmEw6RiXVI2veIak8meY84dEdHoNp9JKWfbibkoLqjp1fk8eA92qzd4kmkgDb59zTZ2ujLIMACJ0/hhludMGLY2vF2gaGOtaeGZ3hRtMnt1iVBJBEHh66tMEGYLI1Srz1rNHipVct21Qp6vOoCVVdNBDK201fHa90ldDZsHNS0Hvq/RRzIVIvhH8a80xHvpiPzaHxKUjQln+h6kMDOz5PFmeOs46rEurh0m/V15vfUNJhgwYvTS8fdNYbpuihKyvM7VIMvxtxeHz4qml9tm5QTVoqaioqJxj6vNnjWqxjjUri+qdO8mOvhwZgaiEIMJi/Lt03bpwg1fEXIFGPDduwhpRwzVDrgHgw8MfNkvw3RXqwg5m7t2F09H53YXucJit1GSU4SiyYF6TjX743WiCBgMOAuYNod/vR6HrrzzAav31GGIDOrTYXpR7kpzDBxAEkaRk995yBVUF7MzfSX5lPttObeOetfewYOUCvsv4DofsYFzoON685E2+nfctvxn6Gwza5kaxgFBvJl6phNbZsjSd6nIboOx+vnvU3QB8nPox1U0nWi0g6ER04cpEwV0eLRWV1kjdeppPn9zO0e+r+PTJ7aRubZ5EuQ7ThLAOGYvd4e3nj19of8y2swBMxwuAin5eBCbEUTFUyV2wb1k+1dX1k+WK44GABr24G2P68xhiAwm6Ph5NgB5nSQ1l32Z0uC0qKioqvwbMa0+CDEbvw3iJGci1OxNkQcN//B4g2x7A5MFB3DxpEMe2/wJATmg19yfdz5CAIUwIm+DyzLIXFpL7wAPIdju+l84i5P77OtQWWZbZ9OkxaqrsBA/0YfwV0d2qVUWlvRRWFXK08iiFVYUt1inNP91s17ssSZTmt/ys1BbHUhQv9biJoWjmLAKtEbJ/IVpez7WPjsM3yID5rIVl/9xDbmrvyj/jUWx4DpAhZnojb5/zSZY5C4AY79rn687m0CqygFMGrUDIXSPdPrNL1dVU/qJ83/vNbh5usCFBhiCenfosFofy23F0zUk++tu2VucMDdHU5tBydiTk4OHl8OUt4LRC/JVww2fgpczz880WNh4r5I4lO3l7o/L8/4fpsfznlnGY9Nr2X0Olexj/O9CZ4MwRyFjvKhZFgeSRzeeKTlkmu6hn01OonD9Ug5aKiorKOUSWZXLq8mcltJw/q2zZMiyGYApCFS+khrmzOkOFrYJNuZsAmDN4TpfO1VHqDC1ppWnMXjabFekruuW84UOG4e0fgM1STW7q4W45J0DVrgIKXtxJ0fuHKPj3bio25gIi9tN7sR55B5/J4Qhix/NdNWR/be6sIRMn49evf7P3V6SvIHlZMneuvZPZy2fz+59+T0p+CqIgcln0ZXw+53OWXLaE6ZHTEYXWf8rHzIokJNIHa7WDX7487ipPjk4myjeKMmsZS48vbXfbvQb6AEpOIhWV9lJZWsOmT47VbaZDlmHTp8da3XXZGWNxUyLi4l15tBJRDPlfl5Rx0/s7WFLkTaW+DKPFn48//gEAZ7mNqt3KgpOfbgVkbIAT6xGNWoJuGAYCVO87Q9W+M51uk4qKioonYsutoOZIMQgyfo63wcsX6a6NpE15haUXfM+LhRMx6jS8dO1oKkuKOJuZgYyMODTU5ZFVh1RTQ9599+M8W4R+6FAiXnwRoYOJyI/vKCDrQBGiRmDW7SPQaNWlD5Vzz9K0pSR/ncw/s//J5V9f3uI8KDA8wq3nSsqyzyg+5SZvbxtYq+1k7le8u4ZPCYfAQXDxX5Q31z5BcJCdBY+NJ2ywPzaLg5VvHeDQpjwqS2vISyttl1eMSjvI2wOp3wICXLYIYi48L55ZTckqVwxag/1qcz110qBVNx/0GuCLYUig22f2ys2/INfUoBs4EP3w4W2ec5zPJPzMytqHSSOADBs/Odque1L0VeapUmU7vQ73fQLL7wLJAYnXwW8+UjyBgC935TDtxQ3csWQ3Px8vQiMIvPyb0fz1snjELq4FqHQSYyCMu015ve3NRm/FhJho2i0CEBnUs3njVc4f6lNdL8DQzlBTfQ1P1QWeq81TdUHv0VZWcJrK4iI0Wi0Rw+Ld1pFtNsxff0N2VDKyIBI5Ioiwwe69s9qra9W+b4iviGa0fiTxQe6v2xMUVBXw2t7XXH/LyDyz7RnyK/NbPa49ugRRJLabww46zFZKV6TX+6rX4nfZAGp2v4ct/TD2053fKQkgSk6ObtkEwNjLr2r2/tHiozyz7RkkGrtyXzPkGr6/5nv+dfG/GBnScu61ZtfTiFzy2+EIosCJPWfI3K94q2hFLXcl3gXAkiNLqHG0b+Jal0fLntt451tvGWMqvZOyMxaahtuWJTCf6dkwEOFx8ZRYle+bAKBSkMnTKmPLKnmz3k95z77fj0NH06nYkgdOGa9BfugnK/nzWPc0SE700f74zVQm/mXfnMDhJmyip44DT9UFnqtN1dX36OvazGuzAfD22opOzIWLH4XwUeT5j+OZn80APHZ5PFHB3mzfvBKAwkArf7roUbRi/U53WZbJf+JJag4fRhMQwMB33kasDSPVXipLa9j8ZToAE66MIaR2M05309f7TKVnKagq4Lntz7n+lpBYmLLQbcQK3+AQLr3ngXrDrSAgiCJ5Rw/z8V/uZ9PHH2Ctbn9owPTdZ3A6JIIHmAiJrL3/pzwAIUOh6iysfw5vPy/mPZzEsMlhyJLM5i+O89Hj2/j21X183E6vGE8eA13WJsvw09PK69E3QuiIdh/qihbSSu7WzmIwGFweWoMDavNZVZd26lz22ogdXgNa/o5tT7jBhmTmnKKqdhpsqluxlgWyck61epzBYECs9dBqNeSg+RRkbYZNL8G39ykTknG3wzX/AY3yW5RvtvD4ikNIDeYuMjJThwS32f6ewFPHWad0Tf6DErYzcxPkH3AVh/sbWTQ/EU2De0wG3lx/Akk69zmf1D7reVSD1nlGo9GQkJCARnNuwn+dKzxVF3iuNk/VBb1LW85hxTsrYuhwdHr3PwYVGzZQWQ0F4UpIvZa8s9qra/OqH5j2dRT/zPkT/9h/L798v7oLCjpGTnkOktzYMCMj88f1f3TF7m5KR/qrLuxgxu7t3ZKcsnrvmWbGLACvyCCMiYkAVG3b1unzazQabKdO4rTb6B8dy4D4BEBZvNlbuJdHf36UG76/AdlNI+bGzmWg78BOXbdflC9JlyoL8Zs/T8NqUXIAXRl7JeGmcIosRe32nNMNqPfQkmsfDnvTGFPpnQT0N+JuDusb3Hnvq/YQPjSeElutQUsrkOblRG7QjuP2QZwJy0JEZMNHB6nartT1nRGpLMbq/aHwEBz8srY8Cq9oP2Srk+Iv0pCd9d9vnjoOPFUXeK42VVffo69rq8kow5peBoKEn/whBA2GSfdSUG7l5R0VVNucTIwJ4reTlRwXOzcrYbC94iOYGjG10bmKP/iA8lWrQKtlwOuv4zWwY88+siyz8X/HsFkc9I/2Y+zsqO4R2YS+3mcqPU9OeU6zZ3pJljheetxt/cRLZnP3W4u57ql/cM/bH3LHq+8yeNxEJKeTPd9/w+I//Z7DG9chtyN/SV24wfgp4fVGBK0XzHlZeb17MeTtQaMTmXnbcMZeNqjR8e3xpPfkMdAt2k6sh+xfQOMFMx5v92GNooW8uJOqXd0Xsr9Ol8tDK0SZi2I1g7PjIfzrPLR0LRi0JKuVyk2bgLbDDdZRbjhLVe0c01TrciMhUW5oOZ9cnS6dv5InUbbZkGy25hX3fgyvjYSP5sKmF5SyyX+EK1+DBl7Am46dpakNRJI5L+HrPHWcdVpXQBQkKCkt2PZWo7eunxDFlsdm8Pndk3n26gREAb7cncuT3x7ulrWi9qL22blBNWidZyRJoqioqNckVesuPFUXeK42T9UFvUtbe/JnlX21lJNRyciChoHxgYTHuvfOao+u/PxcoreYEGu/7kVEYrb4kPfFAaoPnnW766s7d4RF+UW5DYl3ouwEC1Yu4K19b2F1Nr5OR/orKmE0OoORypJiCjNPdLqdUrWdkq/SKF+T3fxNAbQhRkzTFG+Nrhi0HHY7e1cru5LHXnEVFoeFpceXsmDlAm778TZWZ69uZgAEJedVpG9kp68LMGFONP79jVSZbWxboXxWOlHHnSPvBGDx4cXY2zGR0YWaEHQistWpxE2nd40xld6JT6CB6bfE0/TrYN+63B6dYPSLiqaKChySHZ0gYPZyNnpfQGD2DZOxaqoZYQlGtknowk0YhgWCdxBc+IhSccPzYLcgaASCbhiGYNBiz62gfF2O61yeOg48VRd4rjZVV9+jL2uTZdn1/GTS/IhWLITkf/DlvgIu+OdGUvPLAZg+tB+iKLDx2FoM+coi+c1X/cl1HntBAWf/8x/OvvwKAGF//xumSRM73J7ULafJSS1BoxOZdftwRE3PLHn05T5TOTe0NA96ceeLZJZluj3GNziEyIRR+AaHEBgWwTWPPsX8xxcSGDGQanMZa959nc+e+DP56WlUFBeRc/ggFcWNF/pLC6oozCpHEAWGTmySVybmIhh1PSDD9w+D5EQQBCKHBzVrS1ue9J48BrqsTZLgp2eU1xPvURbh20GzaCEylK5I7zZPLUmSyC3IdXkJDu6XiOvhvLpjedRkScZ+ujbkYAtesFVbtyJVV6MNC8NQuzm0LcK9I6is/dwNooCIzObBXxLcr+V84nX9hbE+vFwzLy3zKVj5kHJjuxBgyn003HW3P7eMf6w+2uwaGkEgOsS7XRq6E08dZ13SNfUB5f/Dy6GscUjWcH8jU2KDuXVKNC9fNxpBgE935LBwZeo5M2qpfXZuUA1a5xlZljl58uQ5tRafCzxVF3iuNk/VBb1HmyxJ5LaRP6t6716K9hwjP2wKoIRJafF87dB1Nj3PZcyqQ0CA/eWUfHaMgkU7yV+0k+LPjlK59RTmtdnduiMszBTG01Oedk3mREHk4bEPc/HAi3FIDv5z8D8s+G4BO/N3dkhXHVovL2LGjAM6H3bQcriIglf2KN5ZAujjAqDumVaAwPlxaP31mKYpO4irUra3a2ekO3b/sprqshJ0PiZW6XYyc+lMnk15luOlxzFoDMyPm89XV37FwqkLG31mT0952pUkvbNovTRc8lsl3GTqL6c5laaElpgXN4/+xv4UVhfyXcZ3bZ5H0AjoIhrn0eotY0yldzNiWgQ3PzuZ4XNMXHRjHAhw+OdT7F/X8dwQ7UXUaPDtF0WZTcl59cdJg5qFoqhyBuM9pZxYvTLmHGMC6nczT7oX/COh/BRsfwcAbYCBwGuVEC0VP+dSk1GmnMtDx4Gn6gLP1abq6nv0ZW01x0qw5VQgCHb8NJ9D7CXkh17M4ysONfJNeXntcfJKK/hy1VsICMihPowYPBZQcseemHEJRa8qYaqNEyYQeOONHW5LeZGFrcuUTTuTrx5MYFjHQhV2hL7cZ+eCt99+m+joaAwGA5MmTWLnzp2t1l+6dCnx8fEYDAYSExP54YcfGr0vyzJPPfUU4eHhGI1GZs2aRXp6eqM6JSUl3Hzzzfj5+REQEMCdd95JZeX5y/nabB6EiK+XL7kVudz4/Y2szV7brvPEjBnHbf96k4tv+R1eRiMFGel89sSfee+Pt7P0ub/x/n13cGhD/bmOpSjzt0EJQXj7eTU/4eznFQ/0/AOw679Ay570RnfH1+LJY6DL2g4vVzz89X5w4Z/bfZijyNI8WoiMaxNhV5FlmR0ndgAQZAjC3xik5CWCDufRchRZkG0Sgk5E28+9oadiTW24wdmXtjsPYt4WC05ZxFbrIiX75nMsdDvvHXyvxf6o6y9E0RWitplBqySjiTELQIaSLNdfO7NKuOWDHVTUOIgKMrpyMmkEgX/MH0m4/7nPx+Sp46xLuiLGKMZ52Qnb/1+L1a5JGsg/r1U2ki/Zls2i1cfOyeeo9tm5QTVoqaioqJwjinJPYqkoR6c3EDYkrtn7ZcuWcfLmWzg5aDayqCEsyE7EkIBOX0+WZYJSdc3KJSQY7auEBhDBabZiOVhE2cpMKjbkdvuOsPlx81lz7RoWJy9mzbVr+F3i73jzkjd5+eKX6WfsR3Z5NneuvZMntz5JWU1Zh88/xJVHK6VDxzkrbRR/dpTiT44iVdrR9jfS7w+j6XdnImGPTSTkbuV/0wTFkGQcNQrRZMJZWkrN0ea7ttpiWdoyVnz1BgC7wk7xSfpnVNorifKN4v/G/x8//eYnFk5dyPDg4c0+s6bJ0jtLRFwgCRcpiYg3fnIMh82JXqPn9pG3A/DBJR9CKgAAIABJREFUoQ9wSI42z1O3C69pHi0VlbbwCdTjH6FlxAURTKs1Cm1bcYITe8703EXFMFcerXF6vSsUxXXjlTBWf/7qALMCx+ElClQ6ZZb+vK/+QV1ngEueVF7/8ipUKbugvRP74T0+VPme/DINZ1XHw7SoqKio9HVkSaZ8zUkAfMRv0IjlkLyIE2ermoVrcsoy/zvyFd5ZSh6giRfNARTPrPynnqZhokXLnj3YCzq2qUqWZNZ/dBS71Un4EH9GX9I1z3aVzvPll1/yyCOP8PTTT7N3715Gjx5NcnIyZ864/63ftm0bN954I3feeSf79u1j3rx5zJs3j8OHD7vqvPTSS7zxxhu8++677NixA5PJRHJyMjU19SHxbr75Zo4cOcK6detYtWoVmzdv5p577ulxva0xP24+q+et5q/Rf2X1NatZOW8lE8MmUu2o5s8//5l/7/p3u569NVod4+fO53evvcfQyRcAYNT40t8QhUH0Yd37b1FRXIQkyaRtrw836Baf/jCz9tlmw3NQUdCiJ/36j45irVafcTqEw6Z8rgDTHlQ8/tuL6MaqWBstpLs4XaPkRhvsP1gp8K7NC9VBg5atNn+WLsIHwU27ZZuNig0bgPaHG6wyWzm6NZ8oLwFd7b04VxPF5WUXsO7kOlZntZ06QfRV8mg5K5vknCs92byyoFFC5AK/pJ/l1sU7qLQ6mDI4mNUPXcTWxy7h87sns+WxGVw/oWfC16p0kqkPKf/v/QgsLa8hXTc+kheuUfKPv7c5k3+vTes1BhmVrqEatFRUVFTOEXX5swYMT0CjbWxoqpvMm32iOB2meAJFbHi7w5P5hlTvOwPZFhw4caLsRnLiJPuCKgbeOIbQB5KIeHoqIXcl4nfpIHSRbkIFdNOOsDBTGBPCJri8jARBYHb0bL6d9y3XD7segG9OfMNV31zF95nfd+ghIyZpAqJGQ3FeDqUFbScvlmWZ6gNnKHx1D5aDRSAq+XJCHxyLPkqJu63112OIDUDrX5/fR9Dp8J6ohL7pSNhBq9PK4kOLeWvNIkJLDTgFmbQoZbfoogsWsfKaldyWcBv++sZhFJp+Zt3F1GtiMQXoMZ+1sHOVsiNtwdAFBBmCyKvMa9dEQTdQmSjUTWRUVDrD6JmRJM5QjEo/fZhKfoa5269RU2mnsizAZdCy5VW6QlG8cE0iE6IDqbE6sGwtBOC41Y7udCAbNuyuP0nibyBsFNgq4Od/uooDropF28+Is9xG6fJ0dXKkoqLyq8Ny6Cz2gioEwYKvdjlMuAv6x7Ml/WyzuhqNhTUZSwgvVnLIjpx6CQC27JNKeK6GSBK2kzlNT9EqBzflcTq9DK1ew8zbhrtdYFU5N7zyyivcfffd3HHHHYwYMYJ3330Xb29vFi9e7Lb+66+/zmWXXcZf/vIXhg8fznPPPcfYsWN56y0lP4osy7z22ms88cQTXH311YwaNYqPP/6Y06dP88033wBw9OhRfvzxRz744AMmTZrEBRdcwJtvvskXX3zB6dNtzw96klBTKMN9hhNqCiXYGMx/Lv0Pd4y8A4CPUj/i7rV3U2RpOT9QQ0wBgYy+9ApifEYxN/JeZoTfyNzIe4n2HklZwWnyjpZQZbahN2mJTgxp+UTjfwcRSWAth7VPAIon/a0vTGXew0nMfXA0BpOOM9nlfPf6fmrUjTvtZ8+HUHYSfEKV/EztRLI4KFuR3qy8LlpId5Ff+0zcVYOW/VQb4QZ37ECqqEDTLwRjUlK7znngp1x0TokxRo0SVQYlusz9+TcQYg/ghR0vcKa69U1wGl+lPVJlg3lq7i744S+1f9T+NggamPsa+A9gXWohdy7ZTY1dYvqwfnx4xwRMeq1rznA+PLNU2mDITOg/AmyVyphrhZsnDeKZuSMAeHtjBm+s73yqCpXeg2rQ6gX4+fmd7yb0CJ6qCzxXm6fqgt6hLeeIkj8ramTzcIPW7GxO95/EnrF/AVEDsky1IaTNyXxLupzlVsq+U2Kzf9rve+4Z+iyF14h4PRTLRVde4aon6jUYhgTgNzOK4FtG1Ifaa4Co77mkj75evjwx+Qn+d/n/GBIwhFJrKX/f9ndey3uN3Ir2hSEz+PgwcIQSkzujlbCDDrOV6oNnKVp8mJLP05CqHOjCTPS/Lwn/5GgEbds/iaaptWEH22HQKreV88GhD7hs+WW8uvdVhmcrRqDs8CosBiWPT6gp1G1s/Z7Ey6jl4puGAbD/p1zO5lRg1Bq5dcStALx38D2ckrO1U7gmLrbTVchOZRGqN4wxlb5B3b0iCAIX/CaOmNEhOB0SP7xzkLLC7k22fGLvGQQxnBKbsjnAdqoC2akYnnQakbdvGstv9EYCJYEKnUDqMOV78+C3Z6isqDXmiyLMrt1pu3sxFCmTINFLQ9AN8aARqEktpnpnoceOA0/VBZ6rTdXV9+hr2mSnRPlaZce7r2YZorcOpj/Gwbwy/rslG6hPSyIKMGPyAQLy7IiyQHBkFEERisd4XXioRogiXoPavxu+rLCa7V9nADBtfiz+LYS/6m76Wp+dC2w2G3v27GHWrFmuMlEUmTVrFikp7qMppKSkNKoPkJyc7KqflZVFQUFBozr+/v5MmjTJVSclJYWAgADGjx/vqjNr1ixEUWTHjh1ur2u1WikvL2/0D8DpdLr+1eUKkSTJbXnDspbKzUXV2Et1VJZacTqdCLLAQ2Me4t8X/RtvrTe7C3dz3crr2FOwh9Plp9l+ajv5lfnIstzs/AB+phAmhFyGUDuHEASR8SHJ+BiDOZqiGCvixvcHUW657aIG6YpXkBHg0FKcJzYgSRI+gQbChvgxYFgAcx8ahcFHx5mTFXz3+n6qK2oanUeWZfz8/Jq1UZZlt21vqRxosbxp21sq745+qmtjXbmvr2/HNVWXIf/8kqLp4r/i1BjapUmWZIo/P4rjrAXR34uA62ujuWgFDGNCuk2T0+nkjFMxCMX4xyjtNyoeZFJVUYf6yVrnoTXAx62mirVKuEGfS2Yi1V6/tX6qqbJzePMpTIKlPvR3LSIiF8rjKLeV8/TWp91q9fX1RZZlRFNtJBGzWXnvzHHkz68HhwV5yCyc9+/F+dvvcD64H8beysoDp/jDJ3uwOSWSE0J556YkDDrNeb33mpY3vBf76nhy1/amujqkSZJcubTk7e/itFa3qunWKYN4Ys5wAF796Thvb0gnr6SKrelnyTdbuk1Tw/vRU/rJ3Tjrbk2dQdupo1S6DY1GQ1xc89BjfR1P1QWeq81TdUHv0CY5neSlKmEzohJGNXu/eNs+jg27qX7mLwgcG3YjYwPCaSn6f0u6ZFmmdMUJ5BoHFcFWvgpey6SISYybNK3VNmr99QTOj2uciBYo/l8qwbcl4BXhfvdVdzCm/xi+uvIrlhxZwrsH3uWA+QALVi3g3tH3clvCbejE/8/emcdFdZ3//33vrDDAsDODrCqLqLjgbmI0GjWLiTFrszZNtc2v2qRpm6VtNLFZTL5pkqZJmmpq9t0Ys7ovWdw3FMUFRASEYYeBAYaZuff3x4WBEVBwBTqf18uXzLnnnjmfOXc55zzP83naSie2Rv8Ro8nLSCd71zZGzGgrz2fbaaHyi1YebwIETI7Bf2J0pwxZzWjOo1W/ew9SfT2iT1tvrWJbMR8c+oDPj36OzaFIHfQhjPhCpW5mnDL5FwWRaP9LI4cTnxpK/xHhZO8qYcP7h7j5sRHclnQbSw8sJdeay9q8tUyPm97h+eoQHwSdCtnuwlFchzbS75LfY170DJz63BJFgat+NZAVL+2h5EQN3762j5seTcPHr+OcDV1B1s5iBNGAQyfQKNnROnU4im3u51mYQcccnQHsjSx11BObnEbVsaME1oXz0dvrmPP7GUpDfSdC/6sgey2sfwpuex8AbR8/jNPjqP7uONbvc4mbNxSV6sI5AVwKdId36IVCb+Xm5dXz0BO51e0uwVnegChY8VN9DZP+Tr3ayB8+/QmnJHPtYDN/vTaZE+X1qPWlzFn/NyZYlFwtia3mpJUffujZsChiXvgUGlPnItQlSWbdO5k4HRLRA1qklS80euKYXQyUlSmb4hERER7lERERHD58uN1zLBZLu/UtTUoVzf+fqU54eLjHcbVaTXBwsLvOqXjuued46qmn2pTv378fPz9lnhASEkJcXBx5eXmUl7dEsJjNZiIjI8nJyXEbwgBiY2MJDQ3l8OHDNDQ0UHK4kZyflbxIe74oo+8EX8ISlXVNKKG8M+UdHtv6GDnVOdy3+j7kpkWYiMjjIx4noaH1nElk2LBhOMtdbTf8BZG6kkaO7W2KXgmykpOTQ0JCAhaLhaKiInddNydnML5x1xOe+xWOL+dRcft3REbHeXBKnKbjyEqJ0rwaPn9hB8nTfVDrlbVT//79SUhIYO/eve6NUoCUlBS0Wi3p6ekefRw6dCiNjY1kZma24WS1WsnOboma0Ov1DBw4kIqKCiU3UhMCAgJOz+ksx6kZ/fv3x2g0cvDgQSRJIiMjo0uczEfeIbKuDIL7Ye13A9mt6p+OU9gRFfajVcgqKB0pUuQqIFwrIDTK5O/NoVzVEm10tpz279+PJEnk2RSH2SifKCRJoqJeJgwoOnYAiyq9c+Mky4QX1COgzIVP5eRvMMDadQAU942nqOl3ON04FexuwGF30ehThSz7uQ22AJIskVIfzTc6NT8X/szHGR9z55A73Zya4XA4EJru3dyDmQj+Isk/z0NXV45kGsK+hD8gnagE/BCt5WQfE3j0i/1IMkyI0XN/MhzPPnpJr71TOaWkpNCvX78efT+1x0mr1VJTU+O+x86K06Cbca19ElWthfyVL1MePf20nH59eV+KS8tZsqOE/1tzlBfXHEVGcbp5aHwE480tz9Wz5dR6nDIyMnrFOJ167QmCQENDw3njdGo+zM7Ca9C6xJAkCYvFgslkQuxkksSegN7KC3ovt97KC7oHt+KcbBrr69Ab/AiLi/c4Vr9/P9nf7oLEJM+TBBV1+BHUQZsd8arbW0LD4QpQCSxL/AGpSmKUeVSn+mkYaUKXGISzrB5BJVD5RRbO0npK39xH8O3J+KSEdIV2l6BRaZidOpspMVOY/9N80ivS+eeef/L98e9ZMHYBQ8LaRrY1o9+IMWx4+z+cPHKIuuoqfI0tucecFQ2exqwm+I40dcmYBaCNj0dtMuG0WKjbtRu/yy/DYrOQZ1UWBt/kfMO3Od+6tfD7B/bnvkH3EbS7mh3yp5QE2ikPbEQURBaMXXDe5QS7gstvTST/UAVl+bWkr80jbXocdw24izf2vcHi/YuZGju1w+gxQRTQ9vHDnlONo6AWGSvFe/cSMWwYusjIi8zEi56E9p5bGp2Ka383hGXP76K6tJ7v39jPDQ8NQ609N8NQTUUDhdmKpnqf5AFUFliI8InFUVDrNmjVHyhFbW2kUSPyjaMR53oLD0yQYRU4Mg3s3HwEc2g4geE++F21EI6th0NfQ952iFHy9/mN70NDVhX2o5UUv3cA8+/TUOl6zxS7O7xDLxR6Kzcvr56HnsZNdkhY1zdHZ32CGBEPafex6NtDHCu1Ee6v4+mZgzD6qKGuimcPvQYOF1HlSuRUwqgmB6GMA1Q3ScZF/fsNRF8D2tiYThuzANLX5lF83IpWr2LS3QPabPRfKPS0MfOiLR5//HEefvhh92er1Up0dDSpqake0eQAMTExREe3OKI1l/ft29ejzeby5ORkaivtbH9rm9tRUJYh56c6xl41Br8gRUJOFEU+uuYj/vzDn/mp8Cd3OxISz+1+jpUzVxJh8DTkqQrb5jeWgepqAdkFwZEGxk8Z7u6LyWTyMAa25iTf8gryG1vR2wow5XwG0Y+04ZQ8wMY3/9xHbamD4xtlZswbiN5PMcoVFhYyaNAgj3ug+e+hQ4d6tCOKInq9vk05KJub7ZUHBwcTFNR2NXw6Tl0dp1P7CDBo0CCKi4uJiIhAFMXOcbKVIq5erhyY/AQBQSEMNbbt+6mc6nYVU/2zEmEadEsikU1SkRUZh7AfqSTY7kv0uH7nzCk1NRW7w07JQcXomRSWhCiKhEQlQB6YjVpMQ4d2apwcJXWUudIRtCLqMF+C8fHktG07BVVVqAIDGXz77QhqtUcfTx0nh93F9xsVpZXU64ay8+MPGRkyDUEQkWWZXWWrKco/yJxrZvCG60tePfAqE/tNJDVVcRSWJIni4mK0Wi2qphxaUUYDIRlPI9QVIQfFIdy1jFSfEIqqG8gtt7HnRBUvrVNSQtw6IoqnbxiIqpVU7aW69po5tYbFYiE1NbXNfdZT7qdTOYmiiCRJREREuO+xs+KkUiGMeQDWP0nsya+Jvu5Rt4N4R5wen5mGS32IpVty3T7ckgyvbC5m1p8nYjbqz5oTKM+I5uuxmVtPHqdmTtBynwHnlZNPO07inYF35nWJIcsyRUVFvS7vQm/lBb2XW2/lBd2DW94BRW4wKmUwotiySeuqrub4w38hN7ptNIwggjG844d7e7xaSw36T45mZd16AEabRne6r835o3RxRsL/31B0CYHIjRLl72dS82PBBf8dY/xjeND8IH8f93cCdYFkVWZx9/d388y2Z6htrG33nIDQMCL69gdZ5tieHe5yqd5J+UeH2p5wlrnBBEHwkB1cnrWcqcumcv+a+7l/zf2syF6BU3IyPHw4r09+neXXL+eamKs5sG41ADNvnaskhZ65klkJbSPJLiZ8A7Rcfovi9bnz21wqLTbuGHAHBo2BrMosftzzJbZt2zvM46aJVhYLNT/uI2fKVdj++CdyplxF1bJlF42DFz0PHT2PfQO0XDd3CDpfNZYcK+vezkSWzu1Zk72rBGQw9zcSMyilJY/WyRp3X2o2FgAQckUU04ZG4pRkPj4YQlGM8tzY/n4BX728l3f/soXM7EAYeqfS+Jq/KTtTKAbe4FsSEQ0aKG+ketXxc+p3d0N3eIdeKPRWbl5ePQ89iZuz2k7Vdzm4qhtRCWX4qVbC9Of44Vgl725VjFz/d8sQggxaZFlmbdZafij4gZhSP0QXBJrMhMbEIcsyxc89B4DxhuvxnzQJw+hRXTJmlZ+sZfs3yrz3slsT8Q/Wn3/CHaAnjdnFRGhoKCqVyr3p1Yzi4mJMHYytyWQ6bf3m/89Up6TEM7eO0+mkoqKiw+/V6XQEBAR4/AMl+q75X+uN1vbKW5edWl5TbufUy0OWoLbc7q4vCAIGrYF7B93bpn+SLHGy7qRH+66aRmw7ld+hOZpLlmU+qzvE/t0K/+SxZtRqtTtivKO+i6KIyhCMMO1Z5fNP/4CK4204hUUFcMMfhuHjr6G8oJZv/rWfxnpFIqqoqKhN+4IgIAhCm3Y6Kgc6LD+17U5x6uI4ndrH5naKi4vd7XWK088vITTWKrnJUmZ2ipMzv5Zq99o9Br+hEe5jujjlenTk1ZwXTiqVigJbAZIsYdAYMBlMCIKAaFAMaGJ9ZafHyVWkSIRrIv0QRKHN7167bi0AflMmo9bpzjhOmT8XYa9zEhjhS+qkFIREH1affMd9L9iCbEguF3Xf7OGa3ETqG+uYv3k+gii4221+PjQbtOQdHyAUpYNvCMJdyxH8wlm25yQT/m8Td/13Jy+tUxxe7xsfx/M3paLVqLvFtdfed1oslk7fZ93xfuqovPU9dtacRv4KtP4IpYdR5WzoFKcpKZ5OAqAYtfIrG86JU3MfWz8/evo4te5j6/vsfHM6G3gNWl544YUXFwF5BxXvn5hBLV4PsixT8Je/sTf0Ohp8QtD5qloUB0WYeGcyfkGdX5i3lhrURPlRMKiGmsYa/DX+DAgZcFb9Fn3UhP5yIIbRJpCh+vvjVC3PdudNulAQBIEZfWfw9cyvub7f9cjIfHLkE25YcQPrT6xv95x+IxSjXXZTHi1HWT0lb6TjKGjHCCaAOvTsPEGaDVpFm1axYMsC92KyGf+c+E/evfpdJkRNQBAEjmz5kbrqKvyCQ0i7bLo7KXR3QOJoEzEpwbicEhs/OEyAJoBfJP+CSfskwu76G3m//CXZV06matkyJJuNhsOHsa5aTdl/FmP76RsA7NllLcncJYmi+Qs6NIJ54cXpEGw2cPVvByOqBY7tLWXL8nNL2Ju1S5lwJ44yEZmQTIW9KY9WvmLQajhSicNiQ9Cq8B8XyXOzBpMU4U9ZjYNsXxMysjshNTJs/OAQtcMeAY0vFOxQIrWaoPLXYrypPwB1Wy3UH+paYm0vvPDCi54A204LlkU7sG1THAR0QjrCgGlURozjz58rzlv3jo3lisQwAE7WnuSdk+8AcJktEYCE0eMRBIGalSup37MHwceHsFZRMp2FyyWx7p1MJKdMXGooyWMvXdS7Fy3QarWkpaWxfn3LfF2SJNavX8/YsWPbPWfs2LEe9QHWrl3rrh8fH4/JZPKoY7Va2b59u7vO2LFjqaqqYvfu3e46GzYoeaFGj+68Y9/5RGC4j3tt1xpHdlhorHd6lMUGxLarjOCn8ZR8t67PA4dEJi4eRDEqyMhIlTsoP1GDIAokjuriOmPwzRA/AZwNsPIR2ljhgJBIP2b+YTg+AVrKC2r56uV0ygpqqS50UlvZNmLsfw4Vx5U8qwBTnqTdgT8FzsoGyj84BC4Zn0EhBEz2zBuoizUCYM+1njfD+XGr4nQVFxDXEs3q26TAUl/R6Xaa19faPm1TEsiSRM06RW4wYOrUM7blbHSRvk7JnT18WiyiKFBbXka1o5RGyYEgCFxz3xOMuel2AMIz7UzdbSI9fxefHP6kTXuin5KwQbIcB7UP3PEZhPSjqLqex5dn0NpfTgBmXx5/0SJ7vbgA0BshrckhYMurnTolPsyAeMqQiwLEhV6c/JtenB94DVpeeOGFFxcYToeDwsOKvmzMoJbw24r33md3QThVgYloNAI3/imNe54dx8w/DOOeZ8aRMr5r0m11e1qkBoNvTmR7iRKplGZKQy2evfyVoBIJnNkf44y+ICibGWVLDyDVOXBW22k4VoWz+sIsZIL0QTxz2TMsmbqEGP8YSupLeGjTQ/x+w++x2DyNJv1HKgvavP3p1B4spuT1dJyl9aiMWvyvjKF5XxoBgmYloDbqutwfl+RiR5SiN6w7XoTR1nZx4a/zd/8tyzJ7VymGn6FTr0Wl7l4yZIIgcMWdSah1Koqyqzn400luV4/lN99LzXmkFSPV357gSNoIjs+8kZMPPUTpyy9Ts/JTAMSAPtD6+pIkGk/kXXwyXvQK9EkMYvI9igE+fV0+GZsKzqqdSouN0rwaRFGg3/AwwuLiqZbKAHBYbMgOiZoNynVqGGNG9NXgq1Xz5t1p+OvUFBa2MmY1QxY4XumAsXOVz+ueBGej+7A+KQhbgnIvVC47isvaiBdeeOFFb4Gz2t4mz2qdNAnnmCf564oMSmrs9Asz8NjVyjN8edZyrltxHWWOMlQuUB1XJGATRo1Famig+MUXAQiZ/Ws0EV139Nn9fS5l+bXoDGom3pnk3ZDsRnj44YdZsmQJ7777LocOHeKBBx7AZrNx3333AXDPPffw+OOPu+s/+OCDrFq1in/84x8cPnyYJ598kl27djF3rvK+FQSBhx56iKeffpqvv/6ajIwM7rnnHiIjI5k5cyYAAwYMYPr06cyePZsdO3awefNm5s6dy+23307kJZLD9gvSM/GuZE61Ux3aXMQHC7ZxZFtLhJ/JYGLB2AVtjFp//OGPbmlzR2kdth2KMfnfNLAHF+myA1EQGezbD8mZT+zAYAxdXeMIAlzzDxA1kLUGDn/bbrXgSAM3PjwM3wAt5SdrWfbcbg59Z+PDJ7aRubmwa9/Z27DxGZAc0O9KJe/qGSDZXZS/l4lU60BjNhB0axLCKTvs2mg/UAlINY24zpPR8Hi1YtCKN7ZKgdBs0KrrvDNW40nFoKWJ8m9zrH7vXlylZYj+/hjGjDljW4e2FFFvbcQvWEfi6AisZSWU5B5DEETqBSVyw1Faz/hb7+K6hx5DrdNhLtVx3WYT/930KiesJzzaU5XuBUByinDL2xA1QuFeZuNU8QcZOFHeddUWL7oZxjyg7Efk/gSFe89Y3Wz04blZgz2MWkZfDVqV10TSk+AdrUsMQRAICQnpdRPw3soLei+33soLLj23Y7u343Q04hNgJLhPFAD1GRns+mgXRebxCMhM+00qIZF++AXp6ZMU1KnIrNa8XFY7VU2SKwFTYtCYDGwv2g7AGPOZJ5Kd+S7/8X0IuXcgglaF/Vg1lpd2Y1m0g7IlGYq37s7zE5XT3niNMY/hi+u/YPbg2agFNRvzN3LDihv48NCHuCRF8iI0OhZjhIk4/UAqPziKXO9EG+NP+NxhGKfGYnpsFKGzB2N6bBSGkV3z4nW4HHyZ9SUzv5rJw/ueJKdp32Xwcc9ZsSiIRPu36BcXHjlEcU42ao2WwZOnXfJrsTVklwt7Tg7ytg0MClAWAj9/kEHh3Q92ODlQGY3oh6QScP0Mgu+/A1QuBFGFaGzhjCiijY3poAUvOsLrr79OXFwcer2e0aNHs2PHjg7rLlmyhMsvv5ygoCCCgoKYMmVKm/qyLDN//nzMZjM+Pj5MmTLlrBOunk905h5IHGVi9A2K5vdPnx7l+P6yLn9PVpMcT3RKMD5+WlRqDf7R4TS46kCC2i2FNObVgFrA/7I+7vPiQw28dNtQqn1KkPCMRJWQsOrLYPzvwRAGFTmw+20PbrqJJtRmA5LNScVnR85ZNrE7oDs9t843eis3L6+eh57AzVlWD20eaSo2HobvMyyoRYFXbhuGj1aFxWbhqS1PuaPYI8t8kB1OfIOCMPVLpOLtt3EWFqE2mwlpMnJ0BSUnrOxeqcxdrvhFUtc38M8DesKYXSrcdtttvPjii8yfP5+hQ4eSnp7OqlWr3Lk/8vLyPBLbjxs3jo8++ojFixczZMgQli1bxooVKxg0aJC7ziOPPMK8efOYM2cOI0eOpLa2llWrVqHXt6yZPvzwQ5LoFnQKAAAgAElEQVSTk5k8eTLXXHMNl112GYsXL754xNtByvhI7vr7GMb8wszdz4xhxrwhBEb4Um9tZN07h/jyxT2UNkWOz0qYxeqbVrN02lLenvY2ffz6kF+Tz90r7yajNAPrmhMggT45mNtvSkEUYIXgAKCv/xCkxkySx5rPrqNhiTD+QeXvlY+CvX2Z9yCTgan3p3iUyTJs+vAwtZUNZ/fd3RCdvr+rT8KutyHjc+XzlCfP2LYsyVR+dgRHkQ3RT0PIvSmI7eSNFTQqd85X+wlrFxm0j8xyxck2zCespbCLBi1ZknEUdhyhZV2tSO37XzkJQas9bVsul8TeNYrBdvjUWFQqkWO7lTVNZFIy9iYpsuZUAUljL+MXC/8P/9AwAuo0TPk5mOc/fgRJlpTx2vs+4skflLZDhkHS1e7v2ptX1eb7VYLQ7aNyeuu75rzyMkbBoJuUvzd3LkrrtpExbH7sShbfnUZkoJ5Km4PffrAbu9N1zt3xjtnFgdegdYkhiiJxcXG9LpFsb+UFvZdbb+UFl5ZbxoY1fPvyIgDqrdUc2LgWl9XK3r++Tnbc9QCMuyWB2EEhXW67mZcgCB5Sg/4TonG4HOwp3gPAKNOo88bHJzmYsAeGIAZokWodLRsbMlQuzzovkVodjZderef3w3/PZzM+Y0jYEOqcdSzasYi7V97NkYojIMmM7XMDaaFTEWTwHRZO2OxUVP7KRLo5N1hXIrPqHHV8kPkBVy+/mvlb5pNrzSVAG4Bq1HAA7rENcXtSioLIgrELMBlajGV7ViqSZMmXTcQ3wNila9FhsZw2h1VX6rlqaqjbtYuKDz6k6IknOH7LrRxJG0HONddS+Mc/EfT5IgKqc3CpdBxJuL3tfpUoEv/1VyRu30b8p5/S54UXCJ/7O/T9Fc11VVC8u5554VNdyn/hBXz66ac8/PDDLFiwgD179jBkyBCmTZvWJhdEMzZt2sQvfvELNm7cyNatW4mOjmbq1KmcPHnSXeeFF17g1Vdf5c0332T79u0YDAamTZtGQ8Ol3Wzo7D2QNj2WlPFmZBnWvHWAki4s5GVZ5miTQSthZIvXvzkp2Z1Hq3pNLgCGESZUAZ6L7atSIpg1eig/9P3Uw6jVoLYRFdQHdP4w8TGlcNMiaKhu4dYvnpBfJCNoROzZVdT+dJKeDu/8oOfBy6vnoSdwa1eqWYBntyge/w9NSWBwlCKRlWfN83h+xlqUDcPAwQk4S0ooW7wEgPA//RGxi8nAnQ4X6989hCTJ9BseTsKISyPj3BPG7FJi7ty5nDhxArvdzvbt2z1k/zZt2sQ777zjUf+WW27hyJEj2O12Dhw4wDXXXONxXBAEFi5ciMVioaGhgXXr1pGYmOhRJzg4mI8++oiamhqqq6tZunQpfn5tN9wvNgJCfEm7YgABIb7EDAzh9idGMfbGfopCwrFqPn92Jz98fIQGmwOTwcRI00hGmEbwwTUfMCB4ABUNFSxa8RT1GWUggHF6nHszVu5vpEZy4qv2x6SRMPc7h835y/8IgTFgPQk/LOqwmnxqBDtKbrDD2yy9Jqdcp+7vPe/BK4Pg24eUz5HDwTzkjG1b1+dRf7AcVAIhd6egDuzYkVUbq+TRasyt7lL/28PyrOVsLNgIwDsH32F51nLlgG+w8n9d5yQHnaV1yA4JQSu2eS/IskzNWkVu0H/atDO2lbWjmJqKBnwCtAwYpxhjj+1SnHL7jRhDY5Ohz1XRsn4Jj+vLXc++TFhCAlqnSN8NtSx+9Q8IW5Zg+/JRRI3y7pG0LUa75XsKeHHNEaBFtEUlCDw7axBm49mlIbhY6K3vmvPOa9w85f/MFVB54vR1m2A2+jB1oIn3fjUKf52anbmV/PXLA+f8HPOO2cVB9+jF/zAkSSI3NxdJurD5aC42eisv6L3ceisvuHTcasrLWLv4Xx5la5e8RvqjT7M/4gYQRFJGhzHkyugOWjg9mnnZdhe3SA3ekoigEthftp8GVwPB+mD6B/Y/H3Tc0JoNBM7o2/aA3OI9dS4403glBCXw3tXv8cSYJ/DT+JFRlsGvV9zH3ldWYqwMRJZlDtZuwXhTPwTN2b3mqu3VvLnvTaZ9MY3ndz5PcV0xYT5h/GnEn1hz8xouv/F3AIQeOMmqWatYOm0pq29azayEWe42rGWlZO3YAsDwa67vFLdmVC1bRvaVkz1yWHWmXuXnn9OYn491zRpKX/0X+b+bS/bkKRwdOYoTd91N8dNPU/X5MhoyMpAbGhB8fNAPSSXo1lu47Ep/RBHKQwfTOPd5pKYYfEkA88Kn0J+yaQAtMhPGW3+N9vnn6btuLYE339zFX9uLl156idmzZ3PfffeRkpLCm2++ia+vL0uXLm23/ocffsj/+3//j6FDh5KcnMxbb73lzk8BymLylVde4W9/+xs33HADqampvPfeexQWFrJixYqLSa0NOnsPCILAhDuSiEkJxtko8e3r+7F28vlSmldDdUk9ao1I/JBQd3lkQpI7jxYuGQTwnxDVbhv3jx3KPlcfPhj2FKsSl1CjrcDX6c+2dyy4XBIMvxdCEpR8Az+/AkB1aQk71q+hTqhVJFqB6tW5NBbUdKrf3RXe+UHPg5dXz0OP4Nb03HRDkPk0ROR4o4PhMYH89op+7kNOqSU/kCBBdLGyYZgydiKlL72MXF+Pz7BhBJxitOgMdnxznIpCGz7+Gq64o+3c5GKhR4yZF90Cp14rKrXI8Gmx3PnkaBJGhCPLcOCHk3w4fxsHfzqJ1BTdHeoTytvT32a8eTx3FimRJqX9G9CYlBxBZqMPL9+VxpGmS7CfXyrZuzaffUe1vnCNIgXK1jegOLPdah3lBtv+VQ6fPbuTY3tLenyE+hnv7+qT8M2DiiWvGUXpSnkHcFbbqV6bS816JSIp6MYEdE0Gq46gi2syaJ1DhJbdZefngp95csuT7jIZmae2PqVI+DdHaDXWguPMjm+NTfmzNJF+bWQSGzIycBYVIfr6Yhg//rTtSJLM7lWK4WHo5GjUWhX2Ohv5BzMA6Jc2Goe+KXLtFKdZX2Mgdz75Av4jkxEQaNiey7Kv9rE4ewRZfkoEoVSjzL9XHSjiT5/vQ5aVHI+bH5vEx7PH8PNjk7htZPdXFemt75rzzss0GPpOUu7JbW906dT+4f68dudwRAGW7S7gPz/mnFNXvGN2cdC9knn8D0KWZcrLy4mOPrsN7e6K3soLei+33soLLh23yqLCNt4dsiSxszYal0GHOUrDhHsGnnXIrizLVBaUolmnSE0ETIlFE6EscJrlBkebRl+QkGBtTICyqdGantCB924X0ZnxEgWRW5Nu5QrjeL5d+zlDs+IIdwbQINrZU7GG/MpMUo5cTfTA1C59d2ldKe9nvs+nRz6lzqkkWo7yi+JXg3/F9f2uR6dSoruktDQEnQ5nSQnBFhvm/iPbtJW+5jtkSSJ6YCphMXGd5lZ/8CBFT8xvScjclMPKum49KoMBQa0ClRrZbsf63XctJ0oSlifmd9iu2mRCn5SELjkZfbLyvzYmBkHVInEx4rvj7PjmOLtzg5j06Uf8bcU9nAyU+OeE/gxtp01tlOL16qpwUTW4D3FnkQPjfx2NjY3s3r3bI5eEKIpMmTKFrVu3dqqNuro6HA4HwcGKh+Xx48exWCxMmTLFXcdoNDJ69Gi2bt3K7bff3m47drsdu71lwWi1Kotnl8uFy6XILwiCgCiKSJLk8XxrLm+u11G5y+WivLycqKiodus3e3w1T5Sn/GoAX72cTvlJG9++to+ZfxyKzlfjrq9SqZBl2WNifWS7YrSKHRyCSiO4vyOiXyIF4s6WL5OhPqsCw0hTG065ZbU4qkdSYkukIiCd6gH/4caMP1CWAz99cpSJdybjmrwA1Wd3IW97g311Caz/6GOQZX4WBCbf/zv6DIym4WAF5R8fJnzeMNB4PotP5Xo6Ts3lp/7uHZWf6zi17mPzcysyMhJV0/Oio773FE6CILiv62ZuGo2mV3ACz/tMEIRewelUXqf2padyai6XJKnT99ml4mRdewJk0AoHCIjYzidJj/KvH3Lw1ap48eZUBGRcLheyLPPm/jfd55rL9eicKkSDnn5iAPlffQVA2KOPtGzwd5KTJaea9LXKZvAVdyah9VGdt/dT6/HoaJygZTzOdJ+d7Th50fvQ0fzfL0jP1F8PYuDllfz46VEqCm1s+vAImT8XMuH2JCLiAzBoDLwYvZCqDUdoFBz8Uf47t+zL5repv1WkjiWosoOskjH7xrNx1SpSJ585MqYjOCMm4uwzB3XBF6i/exh++T2c4o3fnBts04eHkSUlBVd0SjCF2dWU5dey6j8HCI40MOKaOPoND0cUz/9a9ELjjGu2imOexixQPlfkgLFPm+q2nRaPHIS6hEAMnYgubY7QchTXIdU7EX063sKVZZkiWxFHK49ytPIoWZVZHK08ygnrCVxyWxk1SZbIr8nHFDECBBXILsVRS3P6nHOOk2eWG/SbeAWi7vSqKDl7S6kqrkPnq2bQFcpvdjx9N5LLSXBkFMGRfZB8S6DKjlDraHO+Sq3h9pvuZfHOx1rlvRX4scyHSRoV2tpaNh0pYd7He5FkuDktigUzBiKKApGB3VtmsDV66z7dBeE1/veQsxH2vA9XPNoSfdgJXJEYxoIZA1nw9UGeX3WYvqEGpg48O9UZ75hdHHgNWl544YUXFwhB5kgEQThlwSrg9IkhQO/gmj9cjuocEk86qxowbrEjN8hNUoMtkQbNBq1R5vMnN9gaaqOOoFkJVH7RkpMn8Mb+XZLzO1fYdlpwLM9hmpwGgFVl45GYl4iyN5JQ6UfG1o2dNmjl1+TzzoF3WJG9gkapEVAiwX496NdMjZuKWvR8XYo6Hb5padi2bMG2eTO6/p5RcA57AxnrVgEw/Orrz/j9ztJSrGvXUrNyFXU7d7Zbx7ZpU6e4oFKhS0pEn9RkuEpKRpeUiDoo6IynDp8WS/buEioKbRzeLJIy8D5yyr5g8f7FvDGlraeTtilCy1laj+Do3nIN3RVlZWW4XC53XolmREREcPjw4U618eijjxIZGek2YFma5Cfba9NyGmnK5557jqeeeqpN+f79+92SPSEhIcTFxZGXl0d5eYvWvtlsJjIykpycHLchDCA2NpbQ0FAOHz7sIXdYU1NDUFAQ+/fv99jAS0lJQavVkp6e7i6LmSDSsFJLpaWOL17aTvLVBkSVshE5bNgwrFYr2dnZgKLrf3i7stA2D/D1aCdAZSAhIM2DW9WKY5Qb6ogb1N+DU12dC1EAyWnEUXEFpYZs1ie8x/Qjszn4UyGhUX4IIfHEBA+G4iOs//Ajd5uyLLPuv68z7ld/IDJHC+UNVH2dTW4/m8d3Dx06lMbGRjIzWzyg2+MEoNfrGThwIBUVFZw40SKjERAQQEJCAhaLxSMfyfkap/79+7vHPiMj47Tj1JM4GY1Gj2svIyOj13ECaGhowMfHp1dxAsWg0Pp67OmcUlJS3Eas1ry6E6donwga9yoyuIGaJXwW9Fv+3uTBPP+6FKpPZpOer3DaUrWFvSV70av0/Dnmz5TlbqaeY0T0G0jpoucBcF5+GYddLkhP7zQnl1Mm44taZBmSxpjwCXd6XNsXY5zae0ZIkoTD4Tgv41RcXIwX/3vokxTErX8dyYFNJ9nxTQ4lJ2pY9vwuBow3M+b6vtSuygcgN7GCUrGSN9LfoNhWzOzBs9n7Qy42h4xFcmJWaTDVBJGfc5zovvFd7keL0eV64DqCcv6FYd9HMOyuNnVTxkfSJymQ3VszSBs7GGOoLw21DvZtyGf/hnwqCm2seesgQabjpF0dh7lfANZyO4HhPp3KFd3tERjbtkxQQXBbFRP78WqPNTOAPbsKZ7X9jGtnlb8WVYgeV3kD9jwrPknKBn1NYw3ZVdkcrWgyXlVlkVWZRa2j/dxnfhq/NsfcuZ8FQYnSspUoebQCTm/QamwyaDUrdTRDlmVq1qwFwH/q6Y2qsiyze1UuAIMnRaHVK2vtFrlBRaJUDtBCIYh2F5LdhajzzDWWk/ljK2NWMwTqtBp0VdX85v3dOFwy16aaef6m1B5pXPWiC+g7CSIGQ3EG7FoKE/7UpdPvGRtLVkkNH2zL46FP01n223GkRJ4+itKLSwevQcsLL7zw4gLBPySUlCsmc3DTOneZ2ncKWlHHjMcvQ2/QnObs08O200LlF1k0Z37xGRCMoFImaHWOOvaX7QeUCK0LBcNIE5o+Bkre2AdOGZXf6ZO+nk84KxvaLAwCJANTk65mTfUnJBT4sevnVdRPiGJWwqwOo9SyKrP474H/sur4Krfn2pCwIcwePJsJURNOG91mGD8O25Yt1G7ZQvC993ocO/TTJhpstRjDI+ib1hK95bBYEA9m4jCZkHU6atauxbpyFXW7dsHpvHIFgdB581AZfJGdLmSXC1dVJRVvv9MSyQUgivRbtRLtWXrNqNQiV949gGXP7+J4ehlBDOFOBvNj1accHHaQgSEDPev7a1EZtbiqG1FXeb2KLwUWLVrEJ598wqZNmzwSo58NHn/8cR5++GH3Z6vVSnR0NKmpqQQEKJP55nsiJibGwzurubxvX8+FfHN5cnIyoHi0Z2Rk4O+vLIJTUz2Nzs0e8EOHesYEJvSt48t/7MFa5KIyQ8+V9ya72w4ICHDXP3m0ikbbPnS+alJGxSKq49xt2HOqqRBKPfsnQ4Q+pF1Oz+gK+NuXB3HJMvaSa8iNf5XtMd8yJm8GP36axXXzBuM78yWO//O2tj+mLGM2BxN2ZwwV/z1I/Z5SkhIS8UltkUAURRG9Xt+G66mcWiM4OJigdozTJpPJw4B5ruPUuo/NG7qDBw9uEzlyah97CidQrr3m63Hw4MHuCK2ezgla7jO9Xo8oir2CU2tevYlTc3lzNNCp91l34VTxjmKs8RF/YJUcwd8OKd70A8z+3DYyGklSPtscNv789Z8BmJM6h+sTZ7D47S8U3qERNKR/huDjQ+LChajDw7vE6efPs2mwWjEEarn81gQ0etVFHydoeUa0vh41Gs15GadTHVG8+N+BSiUyZHI0CSMj2Lo8m8PbLBzaXETDvlJS1QKCXsXE227gb3kunt3xLF9kfcEXWV8wM+MhTMRjibdjztPQ138w772zjL8u/HOXvt9ZbfeIIAKRSuc8dCsfRp10TbuRDn5BOoyRavyCFKOM3k/D6Ov7MmRyNPs3FrB/Qz6VljrWvd1i7BUEmHhXMinjT2806fbY9V/Pz4IKZrziEZ3lstqxrs/DtqMdZ7Imqf4zGbSckpNGs4CqHDZvW89XBT9ytPIohbbCduurRTV9jX1JCEogMSiRhEDl/3DfcL7M/pKntj6FJEttcz+3NmidBrIk4yhsP0LLfvgwjvx8BL0evwmXn7adEwfKKcuvRa1TMWSS8rx2OZ0cT98FKPmzANR+WuySjE4UcJbVt/nOmqptSMiIrYxaMjK+jQ7sdit2p8Tk5HBevnUoKq8xq/dDEJRcWl/Oge3/gbFzQdP59bEgCCyYMZDjZTY2Z5fz63d3smLueML9e4ERvhfCa9C6xBAEAbPZfEEkwS4leisv6L3ceisvuLTc5AJFR9vXFYwr+CZEwZfpcwYQ1CQNeDZwLzhawbouD98RJtRGHXtL9uKUnEQaIonybz8/zPmCNtIf//F9qPmhAOu6E+gHBJ/z73ym8ZLsTso/OdL2gAxzou9jYuJEVqU/gaFexaurn+GbnG+YP3Y+vmpf8qx5xATEUFxXzFsZb7Epf5P79PGR47l/8P2MiBjRKQ6GceMAqNu5C7mxEUGrGPRkWWbPyq8BGDZ9BqKobExVLVtG0fwF6CWJ488+q0y4Whmj9ENSCZg2nYBpU7Ft3UrR/AWKkUsUMS98qt3cVLq+fdvUO1tjlptXoKdhUkRkQs5tvL3tfV68tm2CaE2UP67qckKcfr3y+XGhERoaikqlauOVXVxcjMl0epmDF198kUWLFrFu3TqPjbfm84qLizGbzR5ttrex1gydToeuHXkQlUrl3mBtRkfJYE+td2p58/3dfP6Z6jcjLNqf6XMG8e1r+8naWYIxzJfR1/d1t9lc/9huxWDVd1gYGp3nNFcbbkBG9vDklJHRhPm2y+kXo2KZmBROblkdu09U8FrGz6RHriOmMZlISwJr3srklsdGcEydBnjmHBBEkZDIKHxDgnFMiqZmQz7VK46hjzWiDvZcFLX3G7Tm1Bod/e5dLe/s797cF7PZjFqtbtNeV9vpLpyay1tza35+9XROzf1qvs866mNH7XRXTs19a+bVlfa7M6fWbXflPruYnBqyq7BnVQEOdOpPeK7xEfexI5YaLNYGzEYlSvutvW9RWl9KjH8M9w68F8vhwzjqbOh8DWg+WYYEhM6Zja7Vu6kznAqOVHJgkzKnvvLuAR7Ss2fD6XyUd+Y+O1/j5EXPRlfWor4BWib/MoWUy/vw08eH6W9VpKBzXCCctHFb8m2oRTVPbn0SY30Yptp4JFw8p3mW97R/R9/oS2xhNRszi5iU0vY+6wjOsnpPKXkARIqtT+G7+Ct8rrsRXbzR7UAJUFtRjlhbTW1FOcawFgO13qBh1HXxDJ0czc6VuaSvyXMfk2XY9MFhYlKCu3Wk1mnH7OCXsPmfyt/X/APCkpTIrCZjllTnoOaHAmq3FCI7OnD4O0WqX5ZlyhvKOVqhRFs1SwYeqzrGleUjeZA7sZ+wsolN7nMifCMUo1Wz8SoogfiAeDSq9p+PsxJmMdY0lvQT6QyNHYrZv9X10ZxH6wwGLWdpHbJDQtCq2qQacMsNXn4Zom/Hkn6yLLN7pRKhOmhCH/R+Sn9PHj6I3WbDJ8CIOUHJj6jzUWNrNmiVn2LQOvQtCTnf8cqgRMYcCEFEQEZmT2IF1+5zAS7Gxwfx+p3D0ap77rO1t+7TXTBeg2bB+oVgLYCMz2D4PV06XaMSeeOONG58YzM5ZTbmvLebT+aMQa9pf07QHrxjdnHgNWhdYoiiSGRkD/dOaQe9lRf0Xm69lRdcOm4Oi4UTh7JBAw7/0ahEfyIs2zBHDj6ndttdcLTy8tpuaZEbvBgvG78JUdRuLcRRaKMhswKfgSHn1N7pxstRWkf5+5k4S+rbHmxaGKQah5EzbDTHdm2nb2kAuwJ2M+urWUiyhHzKDycgMCV2CvcPvr9N9NGZoEtKQhUSgqu8nIqPPiZg+jQ0JhN5GfsoL8hDo9UR65ApefkV6vfto27bNs8GZBldcjLGGTPwnzYNbVSLR1/gzTdjuOwyGk/koY2NQdOBYaOz9bqCqnZ+WxGRjGNHyKrMIiEoweOYNsqfhoPlaAodSDUOxIsoO9kboNVqSUtLY/369cycORNQ5IvWr1/P3LlzOzzvhRde4JlnnmH16tWMGDHC41h8fDwmk4n169e7DVhWq5Xt27fzwAMPXDgyncC5PI9jUkKYeGcSG98/zK7vc/EP0Xt4+LqcEsf2KJJYiSPbernXO2vYWbaKESHTEAURSZbYXbGGKc4U/Gn/ujUbfTAbfRjbL4Q866/4vnI/38X8hzmu57GXwoqXN1Ce19hUW4YmY9m4W+7EP0SJxgqYHIs9u4rGvBoqPjlM2G+GeGwIdXd45wc9D15ePQ/dlZssyVR/fwwAP9VKFrtGU0TLPE+SIbesDrPRh5zqHN7PfB+AR0c9ilal5dhOZe7Txz8QqWg/6kgzwffd16U+NDY42fDuIQAGXh5JzDnOM88XuuuYedH9cDbXirmfkemXR2JdmUu9LHOgtIH9/9hD4qgIIi5T1gyDLEoUzEljFjXaKk4mVdEvI4SBfik89d53DF9wL0afzimCqPzarydjxGYxYnsrA9FXjX5ACD4DQ8g+uZu1//0XsiyzURC4as48Bl851eNcrY+a2IEhHgYtUIxaR3cUM3xaO7J93QQdjlnJIVjxO+XvcfNg1K/dh6RGF7WbC6n5IR+5QYm61cYGYJwWx/bMzcT+7IsKFS5c7Es7iaukjKNHFMNVVlUWFQ0V7fYlx78QLDDQ3o+/jHichBDFeGXUGbvMy+xvxjyoHUOnb1PEaF37fWhGY0GT3GCkAaFVxJMsy9SsXgOcWW6wMKsKS041KrXI0CktjpjZu5T3Rb+0UW6HUK1eTa0EwTTtgTSj/BiseACTy8WdQ/rzYlgmMzeZUMkiBUE+QBUAb85K6pIhojuit75rLhgvlQbGPABr/gpb/gVD72qTB/BMMPpq+O8vRzLz9c2k51fxyLL9PHZ1ErnldcSHGtxOPB3BO2YXBz3XTN1L4HK5yMrKapN0tqejt/KC3sutt/KCS8etPOMYtqa1gaBWvNYsESOpzMw9p3bVIe14s7Xy8tpRtAOAUaYLkz/rVKgMGvzGKS8267oTbZJcdxUdjVd9Zjklr6XjLKlHDNDiNzGKVvlfCZqV4JZt6D9yLACX1Q1gpGkkLtnVxpg1LW4aX838ipcmvtRlYxYoERiaPsqCsmTRIrInXUnuHXfy89/nAxBZWELpY3+h/D//aWvMakLE448Tcv+vPIxZzdCYTBhGjzqjkaqz9TqLQH01Ap7ehDIuqvWlLNm/pE19yaZs5jfmWLEs2oFtZ8c5mrxoHw8//DBLlizh3Xff5dChQzzwwAPYbDbua9r0u+eee3j88cfd9Z9//nmeeOIJli5dSlxcHBaLBYvFQm2tssgUBIGHHnqIp59+mq+//pqMjAzuueceIiMj3UazS4VzfR6njI9kxDVxAGz68Ah5mS2epHmZFdjrnPgatUQmtpVyqiwq5HjNfr7Nf5MNRR/xbf6b5Fj3UWVpX7blVDw74zJMTMWlcvCe+V/o/NVUnFiJLEn0iw5gTv8dmPyU+6G2smVDQFAJBN+ejKBT0ZhXg3VDXkdf0S3hnR/0PHh59Tx0V271B8pwFNYhUIc+4AcWu671OK4SBOJCfZFlmee2P4dTdjIxaiIToiYgyzJZO7YAELxHkcKO+NOfEEnM/IsAACAASURBVLsoj7t5WTY1FQ0EhOoZd1P/M59wkdBdx8yL7oezuVakOgc1mwoACL2+H8mXR4KgGIIOvt7AVUd+ySDLBACiqhNJLh7DE/X/h4REmD6a1PJcFn6Tebqv8IB1Y75ngQCBM/sTkrQJX9VqRLEWqc5J3e5iyt/LxG+tijGhM4g2DECFhrVLXqOmvKxNu4HhPrTnX7n1y2P89OlRnI3d8/5pd8waquGTO8Fhg/gJMPlJAGSnRO3WQiwv7MS6Ohe5wYXG5EvIvSmE/TaVyoh65lU8zi/7P8EjMS/zy/5P8FfbIuZvmc8Hhz5gu2U7FQ0ViIJIXEAcV8VexQN9f8Xfo//Isokf8tkvv0TwUaN2qbgpYAYjTCPOypjVIS9oFaF1eoOWoyl/lvaU/FmN2dk0Hj+OoNHgN2niadvYvTIXgAHjzBia1u6yLHNsl7KH0S+tJWWC1keFzaWs4d0GrUYbfHoX2K0QM5ZZ17/N6zO+wBWsyGIG2m00qpTYDZ3dU0GhJ6K3vmsuKK/h94AuAMqOQtbqs2oiPtTAv+8ajloU+HpfIeMXbeSOJdsZv2gDn+48/VrOO2YXB16DVjdA6+S0vQm9lRf0Xm69lRdcGm6ljQLgANQIYtPmqqCi3ifsnNqVahyeBa2MOdX2ajLLlcXLaPOFy591Kvwuj0LQqnAU2WjIPL1UQWfQerxkSca67gTl72Ui211o4wKImDeMwOnxmB4bRejswZgeG4VhZItBp+/wkQiCSFV+Pvf2aSe/DXBb0m3EG7ueMLkZDouFhtZJ6WWZsgP7sQjKCz6u1o7PkCEE3noroQ/+njarOVFEGxtz1t9/oeBnP8rEgDcQUHgIuEgJXoxNV82q3FUcrz7uruustlO7uZUxQIbK5Vk4q+0Xu9s9Grfddhsvvvgi8+fPZ+jQoaSnp7Nq1Sp3Lo28vDyKiorc9f/973/T2NjIzTffjNlsdv978cUX3XUeeeQR5s2bx5w5cxg5ciS1tbWsWrXqnPNsnQ+c6/N41Ix4EkdHIEsyqxYfoKzJWzRrpyLbmJAW0W7S5yBzJIIgUO+qobQhn3pXDYIgEGjqnKeZWiXy/s2PIkp+2AzH2aJfjeQ8AajwHzAHPz89lwcfBuDgD+toqG1Jvq0O1hN0o7IRW7MhD/vx6nP5CS46vPODngcvr56H7sZNdklUf58NgL96OYv1s2hoFc2qEgSenTUIs9GH9Xnr2Va0Da2o5ZGRiiRh8bEsasrLUMkQUl6Nz/Dh+F99dZf6cOJAOZk/K/OMK+8ZgFbfvQRmutuYedE94aq2U59diasL82PrDwXI9U7UEb4Ejo1k0p3J3PLYCCLiA3DaJfpVDHNLKAuIXHH8Nlyymp16xXg8URPKd7v3szaz+HRfA0Bdegn16aUgQvA9A9xrK78xZnxufYBg//cxa+4gbHwOfuMikX0FNKKWGL8BjAu/npmx87gs7Eaqfs7FZfNcp/oF6Zl4VzJC086jIECfJGVdvH9jAZ8v2kVZQU2nf5eLCY/7W5Jg+W+g4hgERMHNbyMLKur2lmB5aTdVXx1DqnWgCtYTfFsS4b8fjs+AEARBIM+ahyRLlGmqyDBkUaZRoocGBA/grgF3sXDcQj659hO23bGNb278hvuk6TS8voFj/1nGd4/+lcwf1qOLVXLZ2k+c+zOn3edWJyUHG0+2nz+rcvlyAHzS0lD5+bU5rxnFuVbyD1UiiALDprasg8vycrGWFqPWaIlNbZFH1/qoqZVaGbRkGb55CEoywS8CbnmHT/cUcdNrmRxpVObzwVYtToMSlSXVds9rq6vore+aC8ZLHwAjmqLBt/zrrJsZ1y+Uh6cq8pfNrtGSDH9ZfoCi6nYUg1rBO2YXHt1rRuiFF1540YtQ51A2LAVVOELTLF5AJiS5bTROV9AcAaMbEERReB3JowehDVZ0qncV70JGJt4YT7hv+OmaOa9QGTT4jY+kZmM+1nV56AeEeMgQnC2kBicVnx6h4ZDiLWYYaybw2r4ITTrYaqOu3WS6vgFG+gxIoSDzAHJ2qVterBmiIBLtf265phpzT3jkwAI4EWoEQSA2eSBpH3+N0Cq8XRMW1ibf1fmKqjpvKD8Gq/9Cim8WMbp0qp0mjGoLfuoqJppmscmynf9m/JenL3saOLP8pRedx9y5czuUGNy0aZPH59zc3DO2JwgCCxcuZOHCheehd90LgiBw5d0DsFXaOXm0im9f28fUX6VwbK8iN5jQjtwggH9IKFfNmcfaJa8hS8rzQOtrQKPrvJHP7B/Eb1J/y3/2v0hUwR5AhUo3nMM7JYKHP0to9ZsE651UNEDGhtWMvP4m97m+Q8NpOFpJ3Z4SKj45QsSDwxBPkwfGCy+88OJSwrbDgqvKiUglNYE5vFQ0A1+tiqW/HIksQ1yoL2ajD/XOel7Y+QIA9w26j+gAZX6V8d5SAMKra1HJMr6juiaF3WBzsPF9RWpwyJXR9Gkn8tYLL7o7arcXUfVlNsFAyY+7CZqV4OGE1x6cVXZqNys544xXx7vXVOGxAdz05zS2rshm7xrPiCpBFnkl7Q02Gb9g9B6I9xtEmu55Hll7lNXRjxHu337+ZmdlA5UrFMN1wJUx+KaEelYwhMKUJxG+fQhdxl/Qzd1JRR8tm15ZTJQhkSjfRAK0IUT69oet9RRt24Yu3ojPwBD0A0NRB+pIGR9JTEow1SX1GMN98AvSc+JAOevfO0RFoY3PF+1izA39GDo5+rysHy8IfnoRjq4ElQ751vdoyBOwrt6Dw1IHgOinIWByDIaRJvc6tRl+mrYGHlEQefXKVzEZPK+FmvIy1i7+l1vxRJZl1i55jbvvegEOQ2NuNVx29nsJDosF8WAmDpMJVZ9W7bRj0HJYLDTmnkAbF4vGZEJ2yTgKmyQHWxm0qpYto/Ltd5TTt2+natmydnM/Q0t0VuKoCAJa5eA6tktJmRCTOtRjXu5h0Cqvh51vKXmRBBXc8g5FkpHHl29AkqFUqzgNB1u1VKkb8QWkmt5h0PLiLDD6t7D1DTixGQp2Q1TaWTUzNDqwTZlLlt1yy15cOngjtLzwwgsvLhCydh4EQFQphiVBgIl3DzinBLiS3UVdeikAhnGROMJVqFoZDrYXKZPB0aaLF53VDL/L+iDozj1Ky1VtR1Piwp5TRcnr6YoxSy0QdHMCQTf0b7NI6Aj9R4wBoGR/JgvGLkBsMiqKgsiCsQvaLCC6Cm1crIces0MUKAhWvOdG3HirhzELlHxX8WvX0PDXvxC/dk2HE/1LhqOrYfEkKM8CXQB+6kr66A7ip66CGa8wZ/iDAHyb8y0FNYoEijrUp0X2sRmnJDn2wosLAZVaZPpvBhNk8sVWZefLl/YiOZUFb9nJjhevg6+cyuzXlnLjowsICA3Hbqtl7Vuvd0kqdfawOxh1MhpjnQqbRoVr0CQAtuzpw9dVf6dGVCIQ9q76FukUSYbAG/qhDtHjqrZT+WX2OUu0euGFF15cCEh2J9Y1Su4sf/XHPFA5ExBYeMMgxvQNYWy/EPdGztIDSymyFWE2mLl/8P0ANBYVkb1/LwAR1coGaPnixTgsnZcl/umzo9iqGwmM8GXMzL7nkZ0XXlwcOKvtVDUZiwBFyeCLLOoyy5Cljt//1rUnwCmjjQ9An+RpyBVEgdRJ0W2EHwQRBsT340+3PEG9rgGNqOPqiuE4A1dw7fIbeGPHCgqr6jzOkSWZis+OIDe40Mb44z+pA+WI4fdCnxHQWEvtikdZu+Q1KhstZFT+yMqTb7Gy4C32V/xIZaMFZLDnVFP1TQ6WRTsofj0d66Z8dE6JPklB7nVw7KAQfvHEKOJSQ5GcMlu+yOarf6ZTW9lAbWUDBUcqqa3sJnJxR9fAxmcBsI96ndJv1JS/m4nj/7N33uFRlNsf/8xszybZ9GwSUoAUCBB6R0EUe7uIvesF7PXartfernot116uiiIiglhQFEUE6b2EnoT0kLopm2Szbeb3x6Qtm4SSACG//TxPniSzM+/M2XmnvO8553uK6xH0KgLPScD88Ej8x0Z7jVOdkpOXN77ssayjsWhpTpbXu6EsSdSqlUBZe27NMb87Wr7+muyzpqB/8UWyz5pC8XPPY12+nNqVK6nNrKKuREvdnnzqN2+m5PXXyTxjMnk33UTmGZMpeuJJLLO/Q3ZKILip+ORtDj7xBPm3387Bfz3R6mBlDj75VJv3+orCWrK3l4OAV/20zEaHVtP4vQmdQU1d46u0VOdC+kUJqmTKsxA/jn3FVpoupTKd4owNqTZQp1MWulupJfj4f0ZgNAy6XPl7zX+PuZneYUYO9bOLghLU4+Pk4svQOskIgkB8fPxRRaudCvRUu6Dn2tZT7YKTY1tNuY2yXGUioFfJXtJumEj0Bad1ypkFYNtRhuxwow7Vo+tjIr7S066m+lknUm6wiaZaWs1ZWqlHn6VVt7GYyoUZhMhgWaFIJ6pMWkKvS0UbG3CYrT3pO2IMy7/4HwV7dnJ71GOMu2wc+dZ8YgNiO+3MAqV2VdSzzzRnXRWGmnCpREKiexE/eFib22ijoog97zy0jRrf3QJJgr9egeUvKf/HjobLPwdZAssBCOkDphgGAeOix7GmaA2f7vyUJ8c+idqkI3hqEpULM5RMrUNqmfnwcShdeT/WGzWccX0/Fr66xWP5iq/2ET8gtN37bUBoGAGhYRgCA5n7xEPsX7uS3UNHMGDimUe0X0dNLan79Ug42JJSTpaliNtoyYgVtf3BtgprRRkZG9aSMnZCy2c6NSFX9aP0/e3Y0sup31iCcVQ3y9Q8BN/7wamHz65Tj+5mW+1fBUg2UAtFLNe62FGfwN+GxnDZMM/MgHxrPp+mK5lYD418CINacXIVb95IvU6DKElE1DROoksSjty8I8pOP7C1jP3rSxAEOPPG/qi1qq41sAvobufMR/ejTSUDwPLFHkR/DYb+oehTQ9AnBiFolD7ekFFJ/WZFJtB0Xu82+1eTjN/yOXuRJcWZNenafs3vPaGn9aF+aRGDNSMIqlhNVWgJ7+95gnc2fcbMgfdx7+lKII71rwIc2TUIWhUhV6YgqNrpy6IIF76O84PJ/PBHHrUNAYT2iuOCex+hpCCP6ITerPlmDr+t/Rw/dSBjRkwlRp+II8+KM1/5qfk1B3WkH4YBoRgGhKGJNmII0HL+7YPYvaqIVfMzKNxXyZyn1uFySiA3BoNe14/U8UcmDd2VNF/fldmw8O84pARqjI/T8KcZqAG1SMD4aAIm9uow2/71Ta+zpXQL/hp/3jnzHSRZancs2lBXy+p5s9ts58+fPuHsgOuRrE7clgbUoYcPHpRlGfv+DOrWrMH655/YNmxo/SGVc+ZQOWdOqy3CgHyYc92hDVE9fz7q2AIMw2/GVZaF9btZ7e+4nXv9liW5APQdEk5IVEvGoNVSTsmBDBAE+gwb6bGNVq/GDTTIMnpBwOWOQDtwIoy9E5db4pNVLVL4FZoQJAQMThmrXg24sFVVcHQzCN2PnvqsOSF2jbsbtn8Fexa1zGscJVEmAy9NHcRjC9Obnadjeod0mJ3lO2cnBp9D6yQjiiJhYWGHX/EUo6faBT3Xtp5qF5wc2zb8dADJpchfxZZm0HvKYDSddGZBi9yg30gzKpXKw65yWzlZ1VkICIw0j2yvieNKwGkx1K4pwlmsZGkZBh759+6qtrc4RloRemMq2uijfxUNijQTHpdAWV4O2Vs2knr65C5xZHnsY9o0jBMmYM/JZfXsD6G8lKHnXdzuQ77bXWe2KvhuJuz/Vfl/5HQ450VQa5X/TZ4TVzPSZrCmaA3fZ37PjLQZmI1mjCPN6JKDFZnBMIPPmeWjQ7r6GnC7vGeKZAmqS22HDSCISkxh3OXXsnrebP749ANiUlIJMkcddp+rvp6NZHdQH6oiK7aGiKJtUHV28+eCoEalG4y7YR1bFv/g4dAC0MYGYDonnupfcqhalIU2IRBNRPeN8ut2960upKfa5rPr1KM72ea2OrCuyAVE9Jqveab+chJC/Xju0oFe7zevbHwFh+RgTNQYzoo7q3l5do6SlRJmtaFumgE6wtqhNquD5V8p9QiHnh2PuY+pawzrYrrTOfPRPWlWMjj0VUUrItU6qdtYTN3GYgSNiC45GNGgpn5TS80rV0k9urjANttuS8aviaBxcdQuLSBYZ+a0jPNZIBejDVmJyniAjw/cS577Ah6Kux3Xb3nK+hf3OayDRDanscR+LsUN1ejVEpfe/zBBveIJj1MybS6492FCe8WxZv4clq2bRe+hIzjv/vtxZ9dj21WBPbMKV0k91pJ6rMvyUQXrMAwIwzAwlNTx0cQkB/PrR+lUFNa17FOG5XP2Epca0umg0KNFsjrxL3fhWPwEdTUzsEkTwQGIAsaRkQSeGYcqsOMxz+IDi/lyz5cAvDDhBYZHti95Zqu18u0LT1CWm4Nap8ftsCPLMoIgoPUzUllaRIW6iFBdNPacGo/z1VoaEEGkbs0a5WftWtzl5R0eoyYhAdFggIZa5IoDIGhw6yNwl5R6ratNUo5fE6nHcOstiEYjuN2Uv/e+pwx/G/f66rL65lq3w89L8PjswGbF0RaVlIIxyDMjUWtQpqxr3TJ6tYDLOBTtJa8hA0/8sJOVGeWoRAFZlnGLaio1wYQ6LTiNAUAl27LXcDbdTBXlKOmpz5oTYldkKiSeBZlLFfnBC/5z+G3a4MqRcZyeHM73Wwp5eck+1hyw8OvOg5w7sO1xo++cnRh8koMnGbfbza5du3AfIklzqtNT7YKea1tPtQtOvG2Wg3XsXbMPZDuCLBMcEoYmsvP1rJzFdTjyrMqL9PBIL7ua5Ab7hfTDpDs5g3/RT6mlBVCzNLdDOY1DcZXWtxnFKNmO/bz1HTkWgMyN6465jcOhMZsp0QhUl5eiMxoZcPrkdtftVtdZyW74+AzFmaXWw6XvKy95Tc6sNhgeOZwRkSNwSk5m7ZrVvFzwV5PVUIjg74uT8dExXX0NBEUY2pTdMUUcmezlqEunEdNvAM4GG4vf+Q9ul6vD9UsOZLJz+e8AnH7jrSBAXdhqpENuXhrdQERkivbv4WDmPq92/E/rhS4xCNkpYZm7F9klea3TXehW960upqfa5rPr1KM72VbzWyayS0Qj7OM9VyTVqiDeuWYY/jrPZ/zKgpUsz1+OWlDz2KjHmp1dsiyTsWYlAObqxsnpI6wdKssyK77ah83qJCTayKgLe3e9gV1EdzpnPronTUoGzfLcAgRflkTMk2MJu3UgxrFRqEw6ZKdEw64KD2cWQOXCDFzV9nbb9w/We8j4NSH6aSBByRqaogrBVXoWdVn/wFk9BEGQWZGzhJwvNoIko0kNwm9427VHW7P+u2/Yl12NKMhcHL2ToMyvPa4BQRAYO+1qLrzvUdRaHdlbNzHv5cdwJQiE3zKQ6CfGEHJlCoYBoQgaEXelndpVhZR9sIODL61HXlPIuLFmBEAvQJhaQC8oQUrpKwpxO0/ce1LdxmKK/72B8lkZlJferjizAMPgcMwPDCf4b0mHdWbtr9zP02ufBmD6oOlMjmt/fGiz1jD/uccpOZCJIdDENc//h+nvfsYVT77I9Hc/49b/fkTfEWMoa1Ak3/f98Cf1NYoEYdWCBS3SgJPOIHPiRA4+9hg1ixbhLi9H0OsxnnYaobffjtcLsygSP+sz+ny3kD5ffUTf88voe1ElvefN85DVb1pXnzIKgODLpxD50EOE33EH4XffTdRzz7as3869fsuSPGQZ4gaEEh7nGajaVD+r73BvhRmtQclcrG28zTpTZoIugDeWZjB3Qz6iAO9eM5S/HprES1MiGTZsAAD6AGX/6TnrcEun9j26pz5rTphd4+5Rfm/9EuqOvSxGlMnA7WckMvN0JcvroQU7yLfUt7mu75ydGHwOrW5AQ0M30QbuYnqqXdBzbeupdsGJtW3Djy3ZWYE2O8YhQ7qk3absLH3/EFQBitOhtV0bik+e3GBrAppqaRUrEXlHguyUqF1Z4P1BJ+sxJY5Qvovs7ZtxOtofEHaWLb/8CMCgyeeg0XccQXhSr7PqQsj+CzZ8DP87U0m9N8XBLUtgyDVH1MSMtBkALNi/gHJbS9RfT75/+OhaurKvNMnuNJbI85LdORyiqOL8ux5E52fkYMY+1i2c1+66siyzbNZHIMv0nzCJiaMvZkr8FOp0VfwZ86eHU8tkyKKfSXkObFn8o1dbgigQckUyop8a58E6qn/NOXKjTwI9+fruqbb57Dr1OJm2OYuLqVu3HtvePOo2KbVaG9Q/Mks6l8fO68/AGM9AKYfb0VwX5rrU6+gT1CLjk//1V1S7nQiyzOAXXjri2qG1lQ2s//EAWVvLEEWBs25KRaXp3tMVPbk/+ugajCPNRDw0HMtEHREPDcc40oygFtEnBRN8SSLmR0cScfdQDEPbCH6UG2ULj4GIc1MB6O2XzMD6fGRXEA1FV1GffQcPVU+nlz2CcnUV0zWPsejAIiS5fYdRxvo1zVJ4Z54/nlhjNax8HSwHvK6BlLETuPLpf+MfHEJFQR5zHn+Agt07EQ1q/IZGEHp9KlFPjCH0uv74DY1A0KuQrE7q1hcjLs3jfJOaswPVjPdXfifpBLb9msvnj69hw6ID1B3i4HNV22nIqurQ8QfKO5xkd+OyNGDPq8G2p4K6TcVYV+RTtfgAlm/2Uf7ZTorf3Ezlt60VQxQnUOjNAwi9ut8RjUutDiv3/3k/NpeNsVFjuXPIne2uW19Tzfxn/0lZzgH8TEFc8eSLhMclEBAaRuyANEUiOyCQS/7xOFHjFWeNtlbL7IfvJvO3X5X6VYfU1NKlpBA6YwZxs2aRvGE9cR9/RMS993TsePILbfxCbWhCAol69hmPdc3PPIOr3AGAJsbfY39B06aRuOwP4j7/nMRlf3jd62sr7exdexCA4ed51s5y2OrJ27kd8K6fRXUh6jWvIeKkrjFI1mUz8uW6XN76IwOAZy8ZyLkDo4gy6UkOEohPSlK2VSuSho6aKlYUrGj3+z9V6KnPmhNiV+/TIWowuGyw6ZNON/ePc1IYGheEtcHFXV9twdFOUKLvnB1/fKHUPnz48NGFlObWkLW1DMnd4tAydIFDS3ZK1G9V2myv3kpThtYo86hO768zNGVpWZflU7M0V4nE66CWlmRzUf7FLhzZNS0RjF1Ujymid18CQsOxVpSRl76dvsO7/rvJTd9GXvo2QGDoORd2eftdxpYvYNG9SqhjE30mwWWfgjH0iJsZEzWGtLA0dpTv4ItdX/DAiAe6/FB9+DgaOpLdORICwyM46+938PNbr7J+4TwS0oYS0y/Va719a/6iaN9u1Dodp11zEwD3DbuPZXl/khH3A1muKEZakhjqVFPkHMjk4BJ2V0eyf+1KTr/uZgJCPCUaVIE6gqclU/HFbmpXFaJPCkKf0o3q6/nw4eP/BVULFjTXA9WPnI4mZiR6cROPuEdwWr8Ybh6f4LF+cV0x729/n9yaXMIMYcxMm9n8mauykvRZn0CQH+aQcEInTiJ/27bDZmbtXl3E8i/3Ns/Lxg/yjuL34eNURWXS4YxQoWpjTCMIAtoYf0znJmDbVuqpVtGJwD5dvAm73o6uQcdlbhc7GpePbujD+GJF5viLPovJduTy+KrH+XL3lzw88mF6BfQiryaPuMA4zEYzpTkHWPzuawAMPfci0q6fAbM3wIE/EX99GPo/7rVvc98krnnxdX549QVKDmQw//l/cdbf72DQZEWeWdSqMAwMwzAwDNklYT9QjW1XOfXp5ajrWzLlBUEg1aAm1QB2ScK2Ip/dy/PRhhsI7x+CQYa6dQeb1/cbFoE63A+pzolU58Td+FuqVf6mE9nwgvrInOuSLPH4qsfJs+YRZYzi5dNfRiW2XQOwrqqS+c89TkVBHsagYC5/4kVCe8W2vX9BoN8lkzm4cz1B2nDsB+v44X9vk2gOJrG40iNTIfKf/8Q42nvMGzRtGvqxY9mzbBn9J09GH9NKWl7rDyotuB1QX9Esq+/IzWuUDwygbvMWBJ2qTXlKjdnc7n1+2+95SG6Z6KQgohODPD7L2b4Ft8tFkDmKkJheLR+0GrdqhVnUSkowb0V+DU/sUOqU33NmEteN8XSQhccrWb1VdsURbLDD7N2zO8yQ89HDEQQlS+vbW2H9h0pdLc2xB0xrVCJvXz2UC95axfaCal75dS//utB73Ojj+NO9Q558+PDh4xRj/Q8HADD4VwFgqndgGNp5h5ZtdzlSvQuVSYs+Kdjr8wJrAYW1hagFdYf63CeKpiwtV0k9tp3ta3e7q+2UfbhdKUisUxH290FeUYydQRAEEkcq0V7HQ3YwfdlvLHj+X43/yeSmb+vyfXQJ1YXeziwEuPjto3JmgfKdzhysTF59ve9rqhqquvBAffg4NtqT3TlS+o2fSOppZyDLEovfeQ17fZ3H5057A3/NmQXAqEumERCqOKfiAuO4qPdlyjrRP7Dcz06dIGOUNBw030Uvv2okSWL7kp/b3K8hNRTjWEV/3TJ/P26r45iO34cPHz6OBWdxcbMzSwyKRxMzElmWyLL/xS7jOF69fLBH3ayFGQs5Z8E5LMxYCMDpMafjr22J1i99+RUOapUphgGXXnZEx1Bb2eDhzALISS+ntrL7RAH78HG8aVOesBOBfYIg4D9WcViMNMTz+RVJTE2J5FGU9yTVqEheuvFN7h9+P/4af/ZY9nDzkpuZsmAKt/52K+d8ew7fbPmS7195DpfdTnzaUCbd8HdlcviC10ClRchaRtDBtrNfAkLCuPLpl0geexqS28VvH77F8i/+h3SI/JugFtEnBxP8tyRCr+7Xrj06USBILRKlEQmtsiOtPejhzAKo31JKzZIcalcVUr+1FPv+SpyFtbir7S3OLLWIyqRDE+OPLjkYv6ER+E+IIfDcBIIvSyLo/FDgEMdXB45Fa0U5eTt3YK1QxrufpH/Cn/l/ohE1QTuCIgAAIABJREFUvDHpDYL13uN2UJxZ3zz7TyoK8vAPDuGKp15q15nVhCpAiypYcez0cwSDIJAZGcL6xGhsmsZchcPUKtSYzUipqd7OJ0EAQ2NQVX1F87rG0aPQmM04CmqVZdH+HQaqHorN6mDXqkLAOzsLWskNjhjT8qw5ZNyqFeupcysPCMnSgCzD1aPiuP+sJK/2wuOVbOE6ewMOlYi/Q2BTySZ2Vew64mP20QNJvVRRpakvh+1fd7q5XsF+vDotDYD/rcpm6e6Sw2zh43jgc2idZERRJDExEfFQjdpTnJ5qF/Rc23qqXXDibCvcX0nebguCAK76IgBMbgl9Skqn267boMgN+o0wN79EtrarSW5wUPgg/DR+nd5fZxH9NPhPUAZRNX/ktVlLy1laT+n723EW1yMGaAifmYa+bxCaYAPx41LQBB975Exr+jbKDmZtXu81iGqPQwcnTbhdLioK8tm3dhV/fv4xv334lsfnv3/8jtc2rTlp11nGkkOcWQAyVOYeU3OnxZxGv5B+2Fw2vtzzZY++f/joWrpzX5l8y+2YIiKpKSvhj0/e9/hs448LsVaUERAWzoiLpnp89sDIO9GJfqj0B8G0jfU6JwCrsoczOMwCwPYlP+K0tz05G3R+b9SRfki1Tizz9x9V7cETQXc+Z52lp9rms+vU42TZ5sjJBUlC0AehH3IdAK78dXxRPYA3rx5KiLGlrmZxXTHPrH0GqdVk7/dZ31Ncp7yj1q5eTfHPP1HtpwcEEsdMOCK7qkpthypmIUtQXXpsUmsnip7cH310LUfaV4wjzZgfHUXY9EGYHx3V6cC+8ElJuHARqAlFtXI1DzpEQhDJxM1j5RbUgpZbBt7CT3/7iYv6XOSxreCS2PLh51grygiOiuHCex9BVDVmGoX2hQn3A9B774eIzto296/R6bnw3ocZO02RNd/88/d8/8pz2OvbrjujjvBrceg1HwhE3jeUiHuGEnpDKqoJMVhC9JQ5nW22Icbq8T+9F6bzehM8LZnQmwYQcecQzA+PJPDeFKQr/fGf0YfIu4cSfstAQq5MIejCPgROisU4JAj/vXcSrH6bZqdWB47F9GW/8fGdNzP/uX/y8Z0389237/H21rcBeHz04wwIG9DmMdZaKpj3zGNYCvPxDw3jiqf/TUh0rzbXbU3Nkt+w710LQF85nAnxKWjUaiqNBlYm96I4yP+wtQo77ItNsoM25d219XjYUWgFQHuI3ODh2L4sH5dDIjwugNj+nioEktvNga2bAEhsXT/LkuUxbtUJ9dRJICPjj8ClyRE8f+lAj2CLJrv8AgMJDFdqwtUYdMSL4YCSpXWq0lOfNSfULpUaxt6h/L32HZA6X5Pv7AFmbhmvZAQ+OH87hVUt7yy+c3Zi8EkOnmQEQcBkMh1+xVOMnmoX9FzbeqpdcGJsk2W5OTsraYSRHb/VIsgy4X2TEbTaw2zdMa4KG/asahDAOKKlaG9ru5rkBk92/azWBEyIoXZ1YXOWll9aePNn9rwaKmbtQqp3oQ4zEHbLQNQhSsRgV5+vXv0HojMasdVUs3XJzySPGtecXdEW6ct+4/eP3kaWZRAEEoePRqXRUFGQh6WoEMntandbWZKoKi5qt/2Tcp1t/xp+ebSNg1FBSB/v5UeAIAjMSJvBA8sf4Ks9X3HjgBt77P3DR9fSnZ81Oj8/zr/7H3z91CPsWbWc3kOG0/+0M6gpL2Xjj98CMPG6W9FoPSc1gvXB3D5kBm9ueZPoPsu56qyrOfBZLv4OgV3hfydQ8zM1Ntiz4g/Szr7Aa7+CRkXoNf0oeXsb9v2V1K4uIuC0GK/1Thbd+Zx1lp5qm8+uU4+TZZs2IR5N/AR0Q65DEERkWcZdU8RU0c7o3p6Tj3k1eV51diRZIt+aT4QQSPFTT1NsUuqWxPRLxRikZCYczq6gCIMyid3KqSWIYIromsCm40VP7o8+upaj6Stqk65TcuutEXVqqv0thNZGYC6IRlbVIQkyL6vs7DlQxzvLMrn3rCRCDaFcmngpiw4sws+mIrBOTUpeAOFVOtxakbF3zUTvf4gjY8IDsOMbxMpsWP4ynPtim8cgCALjLr+G0F6x/PruG2Rv3cTcJ/7BpQ8/SVCkp+OlKUutcmGGh/y8xty472h/DKmhRF3Yhw1ff4+8NRhBaJlYlWSJH1e/DtvURCQkEBYbR2iveEJ7xVGyK5M/Z32ILMsIgsCUGXc3SyACSh2qxf+Aoi0YA4LRXRWDyxWGOszQ5vmwVpS3jBdR5gKyvvmZ2KF6Rg6ZzKV9Lmlzm6J9e1g5dxbVpSUEhIZzxZMvEmSO6vA8usrKKH7ueay//YYmfgLqyOEYx19E3wfHkVJSzE+vvUBJbjZb4iNxV5Uy0WH3eldtfT7a7Yt+TRlaFo/xsCAITB38D9SIaHsduUPLbnORvlzJzhpxXoKHAwqgcN9uGmqt6AMCiU7p3/JBvcVjPa1YjwRUyhIhgornTk9EdUiWWGu7IhL6UFNWQo1BS28hBKhgSfYS7ht2H2Zj55zEJ4Oe+qw54XYNvR6WvwQVmbBvMfTvfKmIR8/rx6ZcCzsKqrln7la+njEGjUr0nbMTRPdwq/0/xu12s3XrVtzuI8saOFXoqXZBz7Wtp9oFJ8a23J0VHMyqRqURiU5UIsb8Gxz4d4HcYN0mJYVZlxSMupWcVpNdLperOUPrZNfPao1oUOM/vjFLa2lLlpZtr4Xyj9OR6l1oYgMIvy2t2ZkFXX++VGp1c9Tb8lkf8fGdN5O+7Dfs9fWU5hwgY/0aNi5ayNL/vcfXTz3Cbx++1Tw4QZbJ3LSOfWtXUp6fi+R2odEbMCcmkzL2NA4NIxREkSBzdLvHckKvM7dTcWR9NxPcdogYoDixQPl90ZtgOvZJ8zPjzqSvqS9Wp5U5u+f02PuHj66luz9ropP7M2bqVQAs/eR9ivbt4df33sTlsNOr/0CSx4xvc7tr+1+L2c9Mpb2Uav1yeo1Xgg8yiwaSGlYDwJbvZrfcWw5BE2kk6EIlyq/612wchW1HO58Muvs56ww91TafXaceJ8s2wWlH3+jMAmWyQpf6N2J2bqf03y973LNiA7zlsERBJDYglrK33sZZUEBJuOLESh49Djgyu/yD9SQOj2g5JhEmXdvvmCVkTxQ9uT/66FpOVl+xVpRzMH8/AHqVouCRb93L1NAMkmozmPfzCpZt3IPb5SQuMI7k/ACm/RnDuRvM9C42IiGzdPBBrllzK0+veZoCa0FL4xo97nNfBkBe/wEUp3d4LCljT+PKp/+NMTiEioI8vnr8AQr27PRa73BZarIksf67b1j53SdsLF/S7GSXZIlN5Uuwua3YairJ3bGVzT//wG8fvsXcJ/7Bss8+8HA+ealqbJ4FW2crN6DLPkHo1Zs9NdkI/m3nABRn7fd6pxMQmLw1goDPdvLmdX/jg9tuYM4/7+fH115k/nOP89EdN/PTf1+murQEvX8AVz79UrvOLGdxMbXr1lHx+edkXXgR1t9+A7WagCkjAHBXychuiaBIM1e/+DojL1YkXrf/vpivHn+QioK8NtvtsC82ZmhZSwo8nHXIQKWyvuYoMrR2rijAYXMRHGWk92DvYM+sTUo5gD5DR7Rk/9kqYcnjjbtVxtkaQcnoq2rMChGr7B3aFdFbCdisMejQ2yVGRI7AJbuYu3fuER97d6KnPmtOuF06fxhxq/L3mre7pEmtWuSdq4cRoFOzObeS135T7re+c3Zi8GVodQOkLkh37I70VLug59rWU+2C42ubLMmsa8zOSpvUi+pSJVsq0GbHMKRzDi3ZLTc7tNqSnZAkiQPVByi3laNX6RkcPrhT++tqmrO0SuupWZqLqFdR/WsOSKBPCSbk2v6IWu9CuV15vqwV5RzM3N/8vyzL/PbhW15ygR0x6MxzSBwxhrDYeAJCwxAaX6jj04by+8fvIEsSgigyZfpdHWZ/wQm6zmrLYMHNkLNS+f/0h2HSY2A9CJYDSmZWJ5xZoExiTU+bzqMrH2X2ntlozVoi6yKJDmzfoefDB3T/Z82YqVeSu2MrRfv3MPfJh5qX90od5BVd2oRereeuIXfxrzX/4pOdn7Dokr/xzZYK/OthOVcQIC6lwlJL7qZVJIw8rc02jKOjaNhfRcPuCixf7yXi7qFt3h9PBt39nHWGnmqbz65Tj5Nhm2VfJgieSgKCqEL0j8Dy+eeIRj/C77kHgHUHPWuRioLIU2OfwnSgjJwvvsCuVmFpvGcljhrbvN6R2KXVKdslj45k7KV9u70zq4me3B99dC0no69UZhYwIGicx7JYYwrbN37AuW5FQm7rf75nK6APCGSc1TMrU0QgKXEwB6vX823Gt/yQ+QMXJ17M3wf9XXFwJ55FZdTpBB/8C356AG5ZAh1IUZkTk7n2xdf5/pXnKM3OYv5z/2LK9DsZeMYUj/Xay1Krr65i8TuvkbtjKwANUXZ+zvkQo8pEnbuatIuvxFh1GRmb9uJ2liO7KxAEC0iluByeMoeyJFGWm62M2/I3wuLG973JT0DimeB2t3nOJLeb7Ut/YfXcL7w+k5ExhoRgr7Hidrmoq7RQV2mhOCvDa117fR2iqu3p2KoFC5prGzahT00l6oXn0aX04+Dz65DqXTiL6tDGBqBSazj92puJG5DGL++9QXleDl8+dj9n3DSDQZPP9np3bbcv+oVS79KwfNlWD2ddoCYUtahB1oA69MgyZ50ON9v/yAdg+LnxXnW3ZFkma5MSkJs4YkzTQvjpfqgpwOoXx6WV9xAuVBEt9aMvEBphhJJ6XOVtS3g32RWR0BdQHFqS1coNqfeyqWQT8/fPZ2bazG5RnuFo6anPmhNu1+iZiuRg/jrI3wCxnQ8Gjwv145Vpadw+ZwsfrMhidJ8QTk8M9Z2zE4DPoeXDhw8fnSRzSykVBbVo9SqGnRPPL28pL7gmmx2/Tjq0GvZZkKwORKMGwyG6001sLNkIwNCIoWhVnZM37GpEgxpdbxMNeyxYl+U3L/cbFkHwZUkIquOfKFx5sAiv4gyNGAJNBEWYMUWaMUWY0Rn9+GvOLI/1BVFk7GVXt+moGjT5bBIGD6OquIggc/RhnVknhMItMO96qCkArT/87QPo36iLb4rptCOrNecknMMrG17BYrfwRt4b/Dfvvzw17immJk09/MY+fHRTRJWKidfdzNwnH/ZYvv67eaSdeU671/n5vc/noy0fkdeQx//2fMyFl17Piq/2obYPISZwETlVAWyZ9367Di1BEAi+LImSAiuuMhvViw4QfJl3wWsfPnz46CoK9KFEyDXgMeHpxn7hZNSz9lP+3vsIBgP6G6/mzS1vAjAzbSajo0YTGxBLpDaU7GmXgyRRffoEqDyIuW8SgWERbe+wHSqK6gBIGBR2yjizfPjo7gRog6kTrB7LREEkZeA4Su2FZGYXoHVYUctuGqw1bbbxaNI9TA+XeH/7+6wpWsPCjIWKY6vvxdw64FaqB9xJUMUWhIINSobT8Bs7PqaQMK565mV+ffcN9q9fzZIP/ktFYT6nXXMjoth+EE/+rh38/PZ/qKu0oNbqmHzLTAZOmkKtpcJrHDbhyoHsXlXEzhWF1Nc4kCUrLsf/8NA1BX5593XGXHgBgzNfQC05lfFSY22wtijYs5Nln31IWW42ALU6F352FSICEjLrBlXy7v2fEGmIoL6mmlpLBTUVZeSlb2fbkp882mpPpt5RWMjBJ570HLsKAjFv/RdtL0VxRBsXSMNeC/acarSxAc2rJQwZzg2vvM0v775O7o6t/P7R2+Smb+PsGXeh8zO2f1KAuqpKNm63sj1zJC65wuOzEJ2SRaY2+3k5ptpj98oibFYngWF6kkZ4Pw8qCvKoKjmISqMhfvBQZeH2r2HXd8iimuurppMlR5MlRzNZ0ADQoBYxoZRj6IimDK1anQZHcTUTYycSFxBHnjWP7zO/55r+1xyRDT56IAFmSLsCtn4Jq/8LV83pkmbPGxTFDWPj+WJtLg9+s51PbhhGeqmdyOoGeoV0fO35OHZ8Di0fPnz46ASSW2L9j0p21pApcej9NZRkKlFYIcZA1OHhHW1+WOo2KIW2/YZHIKjbdv6sL1YywkZFdR+5wSZc1XYa9lq8lgeeHX9CnFkAwVHRCILgEWkmCAI3vfYeITHe8jl6Y8BRZV0FhIZ1D0cWwLavYNF9isRgaCJc9RWEpxy33ZXbyqm0Vzb/LyHxzNpnGBc97pTUKPfhowmX07tW3uFq5ImCyJXmK3k151Xm7Z3HVRdejX+IDix2tuj+Rgi/k51fg2XvRkL6jWyzDZVRQ8gVKZR/kk7dxmJ0yUH4Dercc8SHDx8+2kNTrIPGdyQlit/NH0I6Z98+A02oH2WvvU7Za6+zq2wdlhgLCYEJzEybiUalTDCWf/gR9n37UAUFUWoOhcqDJI4a1/FOD0GWZSwHFYdWSLRv4seHj64ioI+ZWnIRWkmky8hMvHMGapOOzNJaLn57JVJDHdP7qeH3T7yC+oLM0cSGhvHhlA/ZVrqND7Z/wOqi1XyX+R0/Zv3IONM4Hhl3B/HLX4GlT0G/C8EY2uFxaXR6LrzvEdYsmMu6b+eyadFCLIX5nH/3Q+j8PLNnJMnN+u++Ye38uciyREhMLBfd/yhhsfGKjW2Mw4wmHSMv6M2wc+LJ2lLK1t/zKM48C1f9UpqdWoKBhlory7/+mnWqvgyP7c2IC95G3UYmfq2lgr/mfMaeVcsB0BmNVI0M4Vv9Kgx2FYH1amr8XNQb3ORb8zEbzRiDgjEGBRPZJxFznyS2//az51i0DZn6hr17Kbj/AZBlGnRB2AzhGGxl6O1VOAuLWhxaCYpDy5FTA4fESBmDgrnssWfYuGghq+fNZv/alRRn7ueCex4iOrmfl211VZVs/HEB23//FZfDDqgwB6uJGnMe25b8jCxJBOsUGW1DQnCH57UJt0ti6++K5OHQs+MR2xjzZ21S5i/iBg5GqzeAJVupYQbkpd3LtnV9m9e1C8r3ZnG5iQRcZR07tPyDQzH4B2CrtVLtciIgcH3q9byw/gXm7JnDlSlXourAeeqjhzP2bsWhtfdnqMiC0L6H3+YI+Of5/dmUU8nugzX87X0lo/3Zv5bz0tRBXDkyrkv24cMTXw2tk4woiqSmpiJ2kJp9KtJT7YKea1tPtQuOr2171xVTXWpD769h8Jmx1FVVUldnBVkmckBap9p2V9tp2Kc4g9qSGxRFkZR+KWwq2QTAaPPoTu3veOAqtx0aDKcsr2hbKgC6/nwFhIYxZcbdzTKBgigyZcbdbTqzQMm6mv7Op1zx5ItMf+dTz4LBneS49MXqQshaBt/fAd/frjizks+D6cuOqzMLlALx8iEnuKlAvA8fbXGqPGuaHOGtOVyNPFEUuXzU5YyPHo9LdvHWjv8y8nylLla4NJhgo+IkW/fZKx3uW58YRMBEZdKi8ttM7Hk1NGRV4ar2rhlwIjhVztmx0FNt89l16nEybKux2PDbpARONaTPY75tFbdThH7qJUSZDIRNn07o7bcBMOCLNUzaIfHQyIeanVn27GzK330XANOD91Owfw/QUj/rSO2qrbTjbHAjqgSCIk4dKaie3B99dC0nq6+oTTpCLktuKfkrQMhlyc1yfokR/rw4NY0GlYF3MjUkXHKT53jpkKC+IRFD+GDKB3x5/peMjxmPqdqFZfsKbt75Df+K7Uue0wq/P3lExyaIIuOvuJYL7nkItUbLgS0b+frJh6guLcFaUU7ezh2UZGfx7QtPsuabOciyxICJZ3Hdi280O7MOh0otkjzKzPhpSah1g9CZ/o7G/3J0punoTDNQ+00BwZ8GN6zOEXlrxj188ejnrJi7l22/70UqtbJ63mw+vf82xZklCPiPSOanM8qZ57cKWYR6g5viUDv1BndzTcFDaXMs2uq7lWw2Sv/zH7Ivm4YzO5si81jWjHmOrUPuY82Y5yiKHoc2vmVCXBcfCIA9twZZlqmtbKBgXyW1lQ3N7Y+6ZBpXPfMKgeGR1JSVMO/pR9jwwwJqK8oxCRKlOQf48/OP+d9dt7L55x9wOexERYcxNXYn14xxMfmmmUx/51MmXH0jwVplHqLKWXpE3/u+dcXUVdkxmrT0H9t2jbAmh1bf4aPB7YKFM8BRC3HjmKe7zGNdR2P/lTSKE8pVYfOqX9b6GhMEgYiExjpaOg1SXT0X972YQG0gedY8VhSsOCI7ugs99Vlz0uyK6AdJ5wAyrHgZsv9S5lM6iV6j4umLUz2WSTL8c+FODlZ37IQ9VehufdGXodUN0Gq7l0RYV9FT7YKea1tPtQuOj20up5uNPymSA8PPjUerV1O4V8nWMtqdBA4b1qn26zaVgKxEYWnC2x7gZ9dlY3VYCdAE0D+0f6f2dzxQhxmUQVTrd06hcXkHdPX5OlppwOOZddWltm35AhbdC3IrLeNJjyk1s07Ai0ZcYByiIDYXZAbaHcz58NHEqfCsaZp8ONoaeVqtlvuH38/ag2v5Pfd3rjv7egLD9NSUN1AcchG6ul/JyK1l1x/zkPV+hMenEtnLOzIwcEo8DVnVOPOtlL23XVkoQPDUpDYDHI43p8I5O1Z6qm0+u049TqRtsiyz9JOtjEKNuyoPV94Kxrz5B1dFBhJlanlHC7/nHv7Yt5ghy/K4bbFEr8m10EvJWC1+8ilkhwPjhAmUhYcgud2ExSUQHOUpbXw4uyoKawEIivRD1Y4aQXelJ/dHH13LkfYVZ3ExjpxctAnxaMydf94bR5rRJQfjKrehDjN41aa6dGgM67MrmLshnxczA5n/0vto6io6HC8NDh/Mi8WnUfzeXwiyjCQ4+PA8kYvTorigYDEz9/xAXP9Ljuj4+o2fiCnSzA//eYHy/Fw+/8edOB12j0wxtU7HWbfewYCJZx7TdxAUYVBUVcUAVKIi0ScIMuNCN1HjjuKA20xl6SZkdyVl2fMpy/kF5FqPNjSBZrITAthh2EeFs5LowGhGR43mh6wfkGSpuaZgewoV7Y1Fa1euoviZZ3AWFABgn3INe53jaPZCCiJ7k6/BuaicsBgbgWEGAoJ0oBKQap3s/T2PP7/LQpYV5dhJ1/UjdbwSfBWVlMINr7zF7x+9w761K1n51SxWfjXL69iiklIYN+0a4o2VCHO+A5uivhEQGsaoi6aRv/4vkOGvX78gfFIKxqD2M7Ukt8TmJbmAol6j0njf0+uqKjmYuQ+AvsNHwcr/QMEG0Jn4rd8zvPdjTuM5UrqBs7EJlyCCCLJTQqpxoDqkL7e+xiL6JJK7czvVBi1SXS1+/pFckXIF/0v/H1/s/oLJcZPbtaE70lOfNSfNrvH3QMYS2DFP+RFEuOi/MOyGTjXrkrwjud2yTE55vce71alMd+qLp9YbYw9EkiS2bdvWrQqrdQU91S7oubb1VLvg+NhWW9nA6gWZ1Fba8Q/WMXCiMngvOaDIDZpsdgydqJ8lSzJ1jVGzxlFtvxhLksT3W74HYLh5OGqx+8UoqE06gqcmeUQGBk9NarPQbxPHqy8GhIYROyDtpMoDdqlt1YXezixBhKHXnxBnFoDZaOapsU8hCsr+DjeY8+HjVHrWHG22ZpNtiaZELumrTOS8sfV1hp+XAEC4NAi9DlyyirrvnmHg79cR9vFwNnz7pldbgkok6ILengtlqFyYccIztU6lc3a09FTbfHadepxo275aksGwCicA9l3fok/qy9jkSK8Jl7UH1/LiqEKWDhERZSh65BEqv/2WkldepX7jRgQ/P8xPP03GhjUAJI0ae9R2napygz25P/roWo60r1jmziXzjMnk3XQTmZPPpGrBgi7Zv9qkQ983qN3x11MXDaB/VCAVdQ4e+CmHHG0UteqW61F2OLDt3EXl3LkUPfZPMs89l5Lnn0dodDqJMsz8RcJkhR8D/Llo/b94fOVj5NbkHtHxRSWmcO0LrxMaG4/T3uBV+/hvDz95zM4sAP9gPZOu60fjcEVx/AR9zDD/H5l0YQi3vPUId34yi6HnXo5Ko/NyZgEIXEhi/kVM3fkg0ze+yk27n+H0jKt4J/wr/tvvI366YPFhawi3Hou6KioofOhh8qdPp66kiqL+F7Fj6rusdo4HDpU9FMjaXMr6H7P5/dPdLHx9Kxa7G4CMRQeavy5ZhuVz9jZnagHo/IxccO/DnH7tzW0e03l3PcjVz/2HhCHDEYyNY+T6lhpaztJ6RFnEJTsoq8zj1/ffRO6gH2duKaWmzIbeqGHAaW3Xbc7arGRnmfsm4V+bqWTJABmjnuWun5V93zqhN2senczc6WN4/FIl68XR4EbdWGPRWe6Z8XLoNRbRWwkWqzHokKxKHbmr+12NWlSzuWQz3+z9huK64nbt6E701GfNSbUrOMHzf1lSyjZ0MlOrd5iRQ8vMiQIkhJ062ecd0d36Yveb/fThw4ePbs7u1UUs/3Jv88tjTHIQ6sYU+OKd6QCYnBL6lORj3oc9qwp3pR1Br8IwsH0HzO663UD3lBts4nCRgT6Oke1zPZ1ZoPxvOQCmtgcQx4OpSVMZEzmGZVuXMXnoZKID25dk8+HjaOjqKOVj4VizNe8ccie/ZP/CtrJtFPXfQ2C4HzVlNkL7TqFw9+9sq4xmRGghKkFm2I5nKBl9kVemluxuQ69VVqRcffdRHz58HCsbsi24lhegRoNQtx132R78T/OeiHVJLl7d+CoIAvX3XUvgt5XULFpE8eP/al4nYNIkCA0md8dWAJJGjz/q47EUKQ6t0FPMoeXDR1fiLC6m5NnnWpw5ksTBJ5/COGHCcX8H0mtUvHvNUM598y+251t49M2f6FeVz00h9fQqzca+Zy+yw9FhG6IM7+0byYf91/Gnv5ofD/zET9mLuaD3BcxIm0GCKaHD7QNCwzj92pv57t9Pe312qAT0sZA6Ppq41BCq80swLbkO/7odkHgWnPFPAPRGI5NvvpG4gcn88J8XvLbPCltOonEyhqogGmrGqYJBAAAgAElEQVRdWIrqsRTVN3++R9hHUEQ+4bH+hMUGEB4XQHhsAHp/TfM6tZUNVJXUI25eQfXbr1Giiad40G1YQgcgI4IFb2UTlGVDzoqloc5FTZmNmnIbFQ1OQtQQohbId7ZsIEuwZmEmQ86KIzwuAEEQEASByD5JbX4vASGhLd+vX4jyu76CppQvZ6HiDNLGBKAu1JKzbTNbf13EsPO9M/BkSWbzL4oTc/CZvdDo2q5TtW/NSgB6JafAwukgS9QkT+WylVE43C7OG2jm8fP7I4oCUSYDuY3+OUeDC3W0H66KBqWsQd+gNtsHiEhQ3qmtBi3O6ip0QIRfBANCBrC9fDvPrX8OcYMSiHk4R6SPHojlgPcy2d3peZQok4GXpg7isYXpNCVrnZYU1mOys7obPoeWDx8+fBwFtZUNHs4sgP0bSxhzaV/8g/WU5mQBEB4Vg6DRtNPK4anbqEQM+Q2JQNS2/TLodDvZX7cfgNFR3dehBUpkoG8CtouQZVj7Lix7zvszQQUhfU74IUUaI+nv359IY+QJ37ePnknVggUcfPIpkCQQRaKefYagadNO9mEdMZHGSG4YcAMf7fiIN7e9wcvnf8Dyz/dTVd4Pg2oxVpeeDGsYKYHlqAWJ8ty9Xg6tY5Vs9eHDh4/2KK1p4M3ZW3kFLSAhZX8DgL6fd83N+fvnk1mVSZAuiNuG3oGhl5WaRYs81qn59VeqzpqI2+kkyBx1xLVtWtPk0AqJ8j96g3z46CE4cnK9MpOQJCo++oiIRx9FPE4yT86SUhrSd8DGLTz91yqSKvPxd7Vk+DT9JZpMGAYNQj9oIJpesRQ/8YTyjtYKcek67tkexIxBuXyQFsAKg5ZFBxbxc/bPnN/7fGakzaC36ZDs81aExyUgCIJHfaTD1S89GvxNGvx/uh/qdigZGlM/BtFznO2OMCILILQ6FbIA9991B/ExyciyTF2Vg7J8K2V5yk95vpXaSjtVJfVUldSTsaml1lRAiJ7wuABkWSZ7e3ljg4EIg/6FrGolkRcfQPIoM0kjI8lJL2f5nL3IkiK+MenaFhnBJuq2l1E5dy8hahHwPA8ZG0vJ2FhKQIievsPC6TssgqDIqMN/t36hjV+CAxx1oPPHUaBkq/klhjEx5Vb++PR9/przGb1SBzXXqWoiJ70cS1EdGr2KQZN6tXkOti35mbydipT25l9+IiSqgdS4WKblTqWmwcXw+GDeuHIIYqs0F51BmbZ22FzKO/C+SlwVHdckCjZHoZbBJYpY8vPwHz6C4rpidpTvaF5HkiWeWfsM46LH+dRF/r8R0le5uDyUbrpmHuXKkXGM7xvKuz9vZO6uOlZmlLM518Lw+JBOt+3DE59Dy4cPHz6OgqpSm9dYQ5agutSGWuPCWqe89EUNPna5QXedE9suJd2+PblBgPSKdByygxB9CIlBice8Px+nEC4HLH5QqZ0FED8O8tYrEUWCCi5684RmZ/nwcTxwFhe3OLPghEYpdyW3DLyFBfsXkFuTy/aUlQRF9qaqpJ4IvyDyrHVssUSTEliOSxYJiPbO6G2SbK1cmNHs1NL2NvmCA3z48HFMON0Sd83ZwvX1iu6Wn+oPLOXVAOiSPR1a1fZq3t32LgB3DbkLk85EXcFe70Ylif1rVwFKdtbRZlJIkkzlKSo56MNHV6JNiFckww9xElV+NZfaFX8Rfu89BF54IUInZMXdNTU07NyJLX0ntvQdNOxIx1Xa4nwZ2vjbLqrJDOrF/uBYzp46mbSzxqKJi/O4vgVZ8gg8CrriCmqXL8dZXIxqmYlH9tm4fVoyHyQnsLxgOT8d+InF2Ys5r/d5zEyb2aZj61jrlx4xf74AWX+A2gBXftmSkQSU28r5aMdHzN8/n94D9YxND0FEQBAFzp5+N/ExynuaIAj4B+vwD9bRO63luGzW1k6uWsryrdSU2bBaGrBaGjyPQxCQVVr8TFr6j40iebSZkKiW+19zNlmpDVOEAf9Gmb3W6PuaAAhUCWhFcEiKlGLqhGjs9S5y0suxWhrYtjSfbUvzMQbpCO99CaUHfkB5qRQYcMZ1nt+txg/UenA1KFlaOn+cjTUOtTH+DE47n+ztmzmweQM/v/Uq1730BhqdcmyyLLOpMTtr0MRe6Py8A3urS0v449P3m/+Xgd8PJvFl5BT2V4v0DjPy8Q0j0Gs8nYxavTJtbW9yaAGu8kO+00MQRBGTqKZCdlGWn0sckFeTh3xI+pskS+Rb830Orf9vmGKUmlmtyzec+WSXzaNEmfRMSw2gQWviu61FPPjNdhbfexp+Wp8LpivxfZsnGVEUGTJkCOIJqndyouipdkHPta2n2gVda1tQhHfEvCCCKcJAaY5S3NTP7sQ0YuQx76N+Swm4ZTQx/mij249W/TP/TwDSwtK6RIqhu+Dri+1Qb4FvboCclUqnO/sFGHM71BQp6fEhfU6aM6snnzMfXcuR9BVHTq7XhA6ShD0np1s7tA61zagxcsfgO3h+/fN8mP4Bb5/7BSs/z6JMexUiH1NkM1FU78+bmqs5uMzCxze4vQbxTZKt9dtLqVmcg+NANbZ9FgwpJy7Krydf3z3VNp9dpx4nwrZXft2LJtfKUPwAO/7SV5RUKZOOukNkst/b9h7V9moSgxK5LPkyoO0Jd7dKRX6jOkHyqHFe+zycXTXlNlxOCZVGJDD81Mo+7cn90UfXciR9RWM2E/XsMx5OosCLLqR+7TqchYUUPfwIFZ9+RsSDD2CcMOGwYz/Jbse+dy+2Hek07EzHtiMdR3Z2WweHLikJOaU/r+Wp2RsUS26gGXdj5tIFZ49DGxvstVnQtGn4jR+PPScHXUIC2qgopLp/UPbee1hmfU5toQHVO/t56pp+3HbrbGavfpecXWtYW/0Tv2T/wrkJ5zJz8Ez6mDwzIgZNPpuEwcOoKi4iyBzddc6sPYtg5WvK3xe/DeZBANQ6avl89+d8vutzbC4l6yd8dBqTr7yB0AYjIVExBIaFH7Z5Q4CWuNRQ4lJDm5fZ650ULNvCrq9Xk+/vHew65eZUevVr+33OP1jfpiOrCZW/FnWYAVe5jWm3pFIfoPNwfjkdbvJ3WcjcUkpOejl1VXagDzrT35HcVYiqILK2BlBb2dCyH0FQsrRqCqG+AjkwFkdjwIEmRpEvPOe2e/ni4buxFOazYvannPX3OwDI2FhCaU4NKrXA4DNjvY63YPdOfnn/Da/lMgKriv0IDdMy6+aRhBi9MxG1zRlablQhyrG6yus91mnrGgvWGahosFJWchCAuMA4REFEapWVIwoisQHex9ud6KnPmpNu17AboO9k+OoqKEmHsjaCdo6RJtsS+7tZm2Uhp6KeV37dx9MXD+iyfZwMTvo5OwSfQ6sb4HA40Ovbf1idqvRUu6Dn2tZT7YKus80/WE9MUhCF+6uAFhkA/2A9u5fuAiDQZscw5NgytGRZbpYb7Cg7a2HGQmbvmQ3AioIVLMxY2KP0n3198RDK9sPcKxXHlTYApn0KyWcrn5liukVWVk8+Zz66lsP1lfailMvffQ99UhLq0NB2tjz5HGrb1OSpfLnnS3Jqcliu+YGwqNFUHgRTRD8qS/ezoTKRP6PGUZZRzl1fbeG9a4ejVXsOEtQmHYGnxyJVOahdU0Tlgv1o7xuOynjssradtasn0VNt89l16nE8bVucfpBPV2bzOUoWQIDqR1yG3kAB6shI1MEtE9aZlZnM2zcPgEdGPYJaVKYM2ppwd8+4BeeaZQSEhhPZt+0aLR3Z1SQ3GGz285CYOlXoyf3RR9dyJH0laNo0jBMm4MjNQxsfh8ZsRrLZsMz+koqPP8a+dy/502fgN3o0Ef94EHV4OI6cXDSxvZBtNmw70pszrxr27wen02sfml69MKQNQj8oDcOggehTUxH9/ACYuDGPJQt34m4lR/Lowp3Mv20s/jrvqUON2Yw7KAhNo12i0UjkQw8RdOmlFN93C/VZ5ZTN/gnN4rXcaLGALCMJ8OF5MovlxYpjq/e53JZ2G32CWhxbx1q/tF3K9sN3tyt/j7kD0i7H4Xbwzb5v+GjHR1TaKwEYGDqQ+4bfx+io0ciyTENDwzFf3+6aGiyvv47j63nE6oLIH5OmTBw0IogQFOnXKbO08YG4ym2I5Q3EjPCcN9BoVfQZGk6foeG4nG62Lc1n/Q8HEMQAVGIAoChcbl6Sy7ipiWiaShz4hTQ6tCw4S+rBJSHoVagbHUl+gSbOu+MBFrzwL7b/vpiEwcNwOOL4c7biDHC7ZHLSy5slEmstFfw15zP2rFrepg0y0GD4P/bOOz6KMv/j75ndzW56r5ACJHRCC008Ogh2we6poAfqIRbwFL37ieh56p29HZbDhiAK2KUpgvQSWughJKT3XrbO/P6YZJPNbgohQLLs+/XaF8szz8w8nzzPzM483+f7/frz8b0JRAc69tJ1c1faJksyQm2UAnORXvl/g9+NxtdYgKc36CsoKiwAIMwzjEWjFrF452KrUWvuwLmdwjvLWX9rLrku365w/Vvw0QQ49BWMehjC+rfLoY1GIz7uOl65OZ57l+7h0x1pTOkXyhU92vHedgm45H3WgI5hVruMkSSJY8eOITVeidzJcVZd4LzanFUXtK82SZIpzlVWBI28sQf3vHiF9YEt59BBAPzddG2ecK05VoQ5vwbUAh4DHa8Gy63KZfGOxdb/y8gs3rmY3KrcNp2zo+Eai41I+R0+nqQYs/yi4P4N9casDoIz95mL9qU1Y6Vu0pS61V+CAGo1NXv3knrjTVTt2XORWntuONKmETU8PvRxAD4/8Tk9JyuTxlU1ihdvSrkv/wrIR6sW+fV4Po9+dQCzxfHfxndaDOoQD6QKEyVrkm3yIFxInPn6dlZtLl2djwupLaWgkr99c4hr0BCDCpFyvNXfoPceDYC2Qf4sWZb5995/Y5EtTIyayMjwkTbH8rv5ZmI3/UbUZ58Ru+k3smvnuOOGj3LoMdKSrjqDVmAzEQk6Ks48Hl20L+cyVjRhYXiOGG71SBfd3QmaM5seG9YTcN99CG5uVO/eTdott3J63HjSZ84kZeIkzlx7HTnPPEPpiq/QHz0KJhOqgAA8x44h6OGHifzwA+J2bCf21410ef11AmfNxCMhwWrMAiX3y7aF41kxeySrHxpFkJcbx3PKeWTFASyS/TNHU7q0cXFErf6FiHEgai1Yioqs+cFEGR5aB9d5XYGMzNrUtdz4/Y08ueVJUkpTzuOv3AT6clh5FxgrIPpKLBMX8WPKj1z/3fW8svcVSgwlxPjE8NrY11h+zXJrXuq2Xt+yLFO+bj1nrrmW0q+UhQGh101k7M0xVntWwwWx54M2xgcAw9myZuupNSp6jwzDkVPfkc1ZfPH3Hexffxaj3lyfR6u6qD7cYISXjeEoOn4QCdcpC2l/fvt1Nn221+aYm788QVlhJXt/XMPSxx9UjFmCQPyYMYwLSUGoDXUjIDMpLJnXZ8QxOMreC7AOjVZlbbtZqwKVABYZS6nBWsdRfwX6Kt5vxeUl1mfm6XHTWT9jPf2DFKOFRMe/fzvrb02H0dVlKPS7CZDht8UtVm8NDbWN7RnMnSOiAPjbN4ep0NsvNOgsdJg+q8XloeXChQsX50D2qRJqyo1oPdUMmhyJSlW/LiA/U4kb3ThBamup2ptLyepk5T9mmZqkQjyH2a8YSi9Pt3v4csV/dkLKsmDHO7D7A0CCyJFKvHevlsNeuHDR2Wm8StlSXk7W4/MxpqSQPnMWQQ/PJeiBBxBUqpYPdokZHzmeISFD2J+/nx8qVhLKaER1KIK6C7I5i2MH8nhv3nX89dvDrD2Sy4JvDvH6rYNQNfJWEDQqAm7rRf77B9EfLaI6MQ/PBNc934ULF47JKavheE45z/94DMlo4UGVJ1jAW70CMTwWQ7byLKlrkD9rS+YWdubsRCNqWJCwwOFxNWFhimeG2URK4m4A4hyEG2wNxdnKhKkrf5YLF82j9vcn9Mm/EfDnu8j793+oWLfOro4uPh6PhATF82pAPJouEecclj7c151wXyX850f3JHD7h7vYdCKfF346dk7hsgSdN76PvIxomU3m1kYLPSWJhX63cs/4x1lyaAm/pf/G2rS1rEtbx1UxV/FA/APE+rdDfmhJgu8egsJTyN4RbL3yQd5aexenSk4BEOwezEODHuLG2BvRiOfv9W7KySH3+Reo/F1JC+AWE0PY4sV4jhhOBBCT0LXZvFjnilu0YtAyZlQimyUEddP+Cl7+Osb9uTebvzyBXJtvq+fwULJPl1FRpGfntynsX3+WgWHjGCDtRVddRFV6raGsNm+VJMnknSkjLamQzNO9EVQhmI35SNI6NF43W8ea2ZDO1899RXlBNgDhsb2YeP9DhBZvg4JsevoUUmp0x8+tBm+NEYIqmtUpCAJu7moM1WZMBgvqQB3m/BrMhTVWzzFH+AeFIJyWMWKmvCAf35BQQPHUuqP3Hfx9299Zm7qWB+IfcKr0DS7awIT/U8KSJm+A1K3Q7U/tevhnru7D1uQCMoprePHn47w8I75dj3+54jJouXDhwsU5kJyoJM7tMSjYxphlrKmmvEZZZRo+JOGcj2suM1CyJtmmrGRNMtqe/qhrXevr8NfZr2DqDPGfXZwD+z6Fnx7Dmqyt6zC49wdQa5vby4ULp6Ju0rTue7dvvib3+Rco++47Ct9+h+q9e+nyn/+gDurYoRsEQWBBwgLu+uUu9pw8wHUoXhFq7RBM5izMhiTiSo/z3l1DeGhZIt8fzEarFnl5erxdCC63Ll74TI6mfF0apT+cQdvNF3Vg58o748KFiwvPyr3pPL0miTqnigdUOnwsoBLz8FKthSs/xPDCN0C9h5bJYuI/e/8DwD1972nxuTLjyGEMVVV4+PoR0btPm9pZXJufxWXQcuGidWgiIvC//XaHBq2QBQvwHDG83c41OMqfN24bxF+/3M+nO9LoFuTJvVfEtP4Afa5HN3gpbD2JkoS6nuwnnyLowQd4/e6XSR54liWHlvBr+q+sS1vH+rT1TImZwoPxD56fYWv7G3DiJw65e/JGbD8SdzwDgLfGm/sG3Mddfe7CXX3+z1CyxULJl19S8OZbSNXVoNEQNHs2gQ/MQdTWv7u1lBfrXFEHuyN6qJGqzRizK9FG+TRbv+/oCLr08iNxZxJDRw3AN8gDi0UieW8eiWvPUppXzZ4zAzkgfEj4ej3dKnPxU4vs3pKJ4XQZpfk16CvrvUvcvK/BWL4MyZyBWb8dURWM2XAM2ZyKqRLcfXwZc+dM+o2diGAxYvrhLTSAt8aoGLIAsyxSpIkgtAWtbjrFoGWoMaMO8lAMWkU1QNOeXW6+PngbjJS7a8lPS7EatEBZbOYmunGm7AzJpcn09O/Z5HFcXAYE9oChs2DvR7DxWZi9CYcujW3ES6vmPzcP5PYPd/HV3gyu6hfG+N4h7Xb8yxVXyMEOQEdJqNbeOKsucF5tzqoL2kebxSJxZr8Sgzk2wfaxKz/1DAA6o5nAESPt9m0Jc2GN1XZhRa4tb8S6NNsXGFEQWTRqkVN5Z13WY7HwNPz0KDYDIms/VBVe0HadL87cZy7al7aOFdHDg4iXXyL8pZcQ3N2p3rmLMzfeRNXOnZhyc6natRtT7qUNvdqUtvjgeK6KuYpSXT5y7bUtanogiD4g68nf9RmT+4by1u2DEQX4el8mi3446jCsoPeYrrjF+CAbLRR/fQrZQRig9saZr29n1ebS1floL205ZTU2xqwABGZYFO8DX9UnCAGRyL2uQ5+sLKTS9e4NwJfHvyS9Ip0g9yBmx89u8TzJe3YCEDtsJKLYtLdsU7osFomS2jDeAeGd06DlzOPRRfvSnmPFmmvU9gS4RUe12znquHpAOE9OVYzei388yu8n8hudthldgoDm9jcIH1EBQt2ziow6wBu5qoqC114nZeo0Qjcf4/Uxr7LqulVMipqEjMz6tPVM/2E6CzYvILkkuelzNMXpXznzx0s8GhLEn8MCSSw9iZvoxsx+M/ll+i/8ZcBfWjRmtabP9MePk3b7HeT96yWk6mrchwyh+7drCH5kno0x60IgCILVS6s6MQ9zmaGFPcBdhBCNiHutNJVKpPfIcO5YNIIpf+lHoG81JtkDTXEgviplQn+gToVbZgX6ShNaDzVxw0KZcn8/Zr9xPZNnK7nJLPo9mKp+RjanAjB46nXc9+YH9B8/GUEUYdMLaErPUCG7Y5GVk5tlkWfM93PG4Ndiu93cFV8MY40ZdZBiFGw8T9K4v0Qvb3xqlL9JftoZm23ebt78qavihbMu1d443NFw1t+aDqVr7JPg5gXZ++HYd+d9uMbaRnYP5L7R3QB4avVhSquN532OS0FH6jOXh9YlRqVSMXjw4EvdjHbHWXWB82pzVl3QftqyTpSgrzLh7q2hS0/bB6/sfUrIFV+jGW3Pc1/how5y8EAt2JcX64tZdmwZAM+NfI4o3ygivSOdyph1WY/FmhJY+Wf7ctmi5NDy7XLhGnceOHOfuWhf2mOs+N10I+4D+pP1+HwMycmkz7pPWUUnyyCKhD+/GL+bb26nFreelrQ9OuRRfkv/jS3dv2Jc6h0IiKi0gzHXbOHoqSwSyrK5Jj4Co2Ug878+xBe7zqJVi9x3ZQxpRdV0C/Ik3NcdQRQIuLUXeW/tx3i2nIotGfiMb/9JrNbq6sw4qzaXrs5He2pLLayioZ17Flo8EFCrU3EXt8EVr2PKykaurkZwc8MtOprCmkI+OPwBoNyrPDXNG5gkycLpfbuA5sMNNqerLL8GySKj0arwbiZsVEfFmceji/alvcdKXa7RnGcXKWH1ap996rza25uHxvYgrbCKr/dl8vDy/ax66Ar6hPu0TpdKi1+3KjxDqzFWqHHzNqN2z6es92sUfPgF5pwccp55huJPP6XL357g9XGvc/LkDn7c8iE/GRPZcHYDG85uYHL0ZB4c+GCrPGlys/fx341z+a5LGJIgIAoiN/S4gb8O+mur35lb0ibV1FDw7rsUf/oZWCyI3t6ELFiA3623KAaci0Wt0alqdy5Ve3Lxnx7nMGUB1KY3WJOMnwz5WxLxmRSFJsILc7EeS7Ee/2I943x0mBAQhPqpYkEQGOiuInpKV/pNi7GJUhMdb/83EgSBYdfPQOdZmxsx9Q/Y+S4Aj5ge5rgURYyYR5oUSoEQxONBHnbHaIybu7JowlhjsUYmaGjQctRfordXvUEr1T4/29RuU5Vwl6lrmTd4XocNO+isvzUdTpdXCFwxDza/BL89D72vBVXbQpE2pe3Jqb3YfCqfMwVVPPfDUd68vQPpbwUdrc9cBq1LjCzLlJeX4+Pj02FvoG3BWXWB82pzVl3Qftqs4QYHhyCqbB9Uc44cBiDQ1x9Bfe63VrWvFtFLg1Tnxi+A//Q4u3CDS5OWUm2upm9gX26Ku4mKigp8PJoPL9DZuGzHYlkWLJsBBcftdxRUENC23GwXA2fuMxftS3uNFW1sLDFfryTnH/+g/OdfrMnGkSRy/u9ZzKWl6Pr0QRMRgSYi4oKvkoWWtUV6R3J7r9tZJi3DLdrIo56L2POjAXPNDooMHpz94S1i7n6FmwZ3xWiWeGp1Eh9vS+V/21KRAVGAl6YP4LZhUagDdPhd34OSb05RvjEdXZw/bl29L4muzoyzanPp6ny0pzZ1bajSYASGouY6lAkZf3EJglcwDLoT/aatAGjj4hDUat7d8y6Vpkr6Bfbj+h7Xt3iO7BPHqS4rRevpSWS/pnNBNKerOLs+3KAgdr7+dObx6KJ9uRBjpXGu0QtlzALFQPHPGweQUVzDzjNF3P/pXr6bO5pgb23LuopTABmNh4zGo94jwW9kLD7T11KybBmFSz7AcOoUGbPn4Na9O3JqKtfKMteKAn/c1Y93u55g49mNbDy7kcnRk3kg/gF6BfSyO1WZoYz/HVzC8uPLMHi4ATC+61geHfo4Pfx6nJPm5vqscus2chcvxpSZCYD31KmEPvM0mpCLG0LMXGZAf7SovkCGktXJ1BwrQlAJyBYZ2SKDRUIyWDBlVtrULd+Y7uCoWoeR1kRBIDLSy8aYBVCam2NXV5ZlSnOz8Q4MAn0Z0rcPIgLLzRNI8hhBcZWRXCkQlSDwr+n9rTnbmsPqoaU3ow5TDGANDVqO+kvl5YVPjTLmGntoAYzpMgZ3tTuZlZkcKTzCgOABLbbjUuCsvzUdUteoubD3Y2UhceKnMLxlb3VHNKVNp1Hx2i0DmfHfHXx3MJup/cOY2j+8nRp/4elofdZxfMUuUyRJ4vTp00iSdKmb0q44qy5wXm3OqgvaR5vFJHHmQF24QfuH1YKcLABCesS16fjmYr1izBIg8N6+hC0cbre6Kr86n69OfgXAvMHzkGXZKfvsshyLBSfhf1MUY5Z3OIx7WjFigfLvdW92WO8scO4+c9G+tOdYEd3d8bvlVvsNskzBq6+Rcf9fODPtak4OHMSpK/9E6q23kfnY4+T9+z8Uf/klFb//jv7kKSyVlfbHaAOt0fZA/AN4a7w5rN9PTu8keg6PQqXtD0Di1r1gURY13DYsigVTlFXIdY4WkgzPrDlCTpnyAu8xJAT3AUEgyRSvPIlktLSLjrbo6qw4qzaXrs5He2kr15t4ek0S16BhFV78A3fUCAiqTLTiURjxIGjcMZw8AYC2Vy+OFx1nTfIaABYOX4gotDxFcGrPdgB6DB2BqpmFXM3pKspW7r2dNdygM49HF+3LhRormrAwPEcMv6DGrDrc1CJL/jyU7sGeZJfp+cvn+6jUG1vWFdADGt9TahfqiVotgfffT+zGDQTMmgVqNcYzZxosUpIZs+wo3/g/ydWhExAQ2Hh2Izf/eDOP//44J4tPkn0miV0/fcT7G15g2pppfHJiGQYBhhgtfPGn13h74rvnbMwCx31mLioi64m/kTF7NqbMTNTh4XT97/t0ffONi27MgiZSFgD648XUHClCf7wYw6kSDClltmO7e9sAACAASURBVMasBqgCdbj3D8RrTFf8bowlaJqFYM3frOGx65AF8I7xtdvfPzzCbmJbEEX8wiIAkH7+G2J5FmlSKO+5zWL1Q1ewfeEEVsweybaF47ltWOsiDLjp6kMOamoj2JhL9MgWpX8c9Zfo7Y13rYdWZXER1eVlNsf00HgwLnIcAGvT1raqHZcCZ/2t6ZC6tN4w9inl+5ZXwNC2d8TmtA2O8ufBsco9aeHqJNYdybG+23V0OlqfuTy0XLhw4aIVpB8vxlhjxsPXjfBY23CDJqOBcoMeBOgy/NzzZwHok0sAcIv2wb1PoMM6Hx7+EIPFwOCQwYyOGN1hfkhcnCcZe2H5LUq4wcA4uHsN+EXB4LuV1UEB3Tu0McuFi0uJNY9Ew/uhIOA+fBiWoiJM2TnI1dVYCguxFBaiP3zY4XFEHx+rN5fNp4vyryogoMWVaKbcXMSjxzCFhaHq4via9dP5MTt+Nq8nvs47B95h1YxvOZs0jPKcA6SVeVC8fTkBY+4FYGi0faJriyyTVlithB4UBPxujMWQVo65oIaS707jOTQUdZC7nXevCxcunB+LJPPoigOUF1TzFF6I1N+zZEs4Zvco1MPuB0B/8hSgGLRe3vMyMjLTuk1jUMigFs8jS5I1f1bciNFtbm9JAw8tF85DcXEx8+bN48cff0QURWbMmMFbb72Fl5dXk/vo9XoWLFjAV199hcFg4KqrruL9998nNFTJWXzo0CFefvlltm3bRmFhITExMTz44IM8+uij1mNs3ryZ8ePH2x07JyeHsItg8Lkc8PXQ8MnMYdz0/g4OZ5Yxd/lBxodbCC3T0zWgievYtwtc9xb8+JgSQh2g1zSbdxuVnx+hTz2Jrl8/sp94wnZ/WUZ+8l/MBGZGhHI2GBI9C0gP3sCK5eu5ZZuMrwxjBTgxTSSzj5nHSsr5080rEbqPaRfdsixTtmYNef/+D1JZGYgiAXf/meBHHkH0vHT3L3WQOwjYGbW8J0ah8tIgqERQCQgqAclgofS707Z1BQieE2/7zJhTAL8fJ0D7KSVVs5T6AgQ4iBwD4B0YxOQ589j40bvIkoQgikye/TDegUHIR79DTFqJRRZ4SprLOzP/RHSg8vdqjVdWQ7S1HlqGGjOijxuCRkQ2SZiL9WiCHYcsFL280EgyniYLVRoV+akpxAwcYlNnWsw01qauZX3qep5IeKJVCzpcODlDZ8Ku95V5mJ3vwriF7X6KRyfFsWZ/JrnlBh5ctt8mCoeL1uMyaLlw4cJFKzi9Lw+A2KEhiI3CouQfO4osgJvJTOAVbXux159UDFq6nvYTmABZlVmsTl4N0KFjPLs4R05tgK/vAXMNdBkKd34DnrUGTd8uLkOWCxct0FQeibocWrIsYyktxZSVjSk7C1N2ts3HnJWNpawMqbwcQ3k5hhMnHJ5H0OnQhIfbGbqU712o3LqV3OcWo5MkUl9+udk8Xnf2uZOvTnxFdlU2qzJWMnHmDXz/6m9IphS2rfmZ62sNWt2CPBEFbHLhCEB0YP0kgMpTQ8AtPSlceoSa/fnU7M+3hqxtKoeCCxcunJN/rz/B7ycLGCFqEKXGz4kqzHEzUbsrz5l197rDfmXsz9+PTqVj/tD5rTrPmQN7qSwqRO2mJcZB/pTWUuQyaDkld911Fzk5OWzcuBGTycSsWbOYM2cOy5cvb3Kfxx9/nJ9//plvvvkGX19fHn74YaZPn8727YonYGJiIiEhISxbtozIyEh27NjBnDlzUKlUPPzwwzbHOnnyJD4+9eHYQy6B54wzEx3oyYd3D+W2D3bxR3IhfyTDC1s3Nz8ZO+Qe6DER9i2Fra9C2jbQl4HO1uPHI2Go/SIlQAzwRyougew8orMh2sEpRBnmrJXw0xbR9frFcJ7GrLpFStVmM8XvvU/1nj0AaPv0Ifz553Ef0P+8jt8eqH21+E+Po2RNstXw1NzznyAKdnXtjFQeynuop/Q92qfex1ykb3Gh1IAJU4gZOITS3Gz8wiKUUIMVuRi+fQQd8F/LDcy6/VaGRDme52gN9Tm0zAiCgDrIHVNOFeaipg1aKm8lFLdPtZ4qX0/y087YGbRGdxmNt5s3+TX57M/bT0JYQpvb6MJJUGlgwv/Bqlmw4x1IuE/Jr9WOFFcZyaswWP9fF4VjTM/gczb2Xs64DFodAJ2u8yXBbQ3OqgucV5uz6oLz02Y2Wkg9VAhAXEKo3fasHUoeAj9ENIGOvauaQzZLGFJKlXY2YdBacmgJZsnMyPCRDAsbZi131j5zVl3QQNvBFfD9XGW1YuwkuPVzcOu8kzrO3Gcu2pf2HivN5ZEQBAG1vz9qf3/c+/dzuL9UVWVn6FIMYLVGr4ICZL0eY2oqxtTUlhskSeQ8uwjPK690GAZIq9Iyb8g8nt76NB8nfcz06dOJ6T+aMwdSOJ1joPL0frxihxDu685L0wfwzJojWGrD78jA0m1p/P2aPtaFDerQRi/yMpSsSUbb07/dPLWc+fp2Vm0uXZ2P89H27YFMPtii5AiZeV1v+OFso1X7FtSjb1G+VVRgylJCZb9V9h0A9/W/jzDPlo3gSZs2sOGDtwEwGw0c37aZAROmNLuPI11mk4WyAiXETmBE0547HR1nHo9t4fjx46xbt469e/eSkKBMDL/zzjtcffXVvPrqq0RERNjtU1ZWxv/+9z+WL1/OhAkTAPjkk0/o06cPu3btYuTIkdx33302+3Tv3p2dO3eyZs0aO4NWSEgIfn620TQ6As40Vrr4uyPJ9TeYVk3G+naB8c/A8R+g8BTs/gDGPmlTpblFSuaSEgynkjGcOoUhOZmiPdtQpWXb7K+SId9nGF1H/vW89JWuWkXOs4vQSRKZtWWCTkfwvHkE3HtPm/JlXyg8h4Wh7emPubCmRcOT57AwND18OHPgFN0H98QtwIEhyCNA+Vcyo9YZUPdo3bXkHRikGLIAZJn8ZX8hxFxGkhSDx+RnzjtPUH0OLcXLz2rQapBHq/E1JtZ6hXpX68nx9SQ/NcX+uCo3JkVN4tvT37IubV2HNWg50/2jIR1WV7+bFGNW9n7Y8m+45tVzPkRz2lILq5AbeVY2jMLRkelIfdZx7sSXKSqVin79HE+wdGacVRc4rzZn1QXnr+3s0SJMBgteAVpCu/nYbc89cQyAoKC2rdwwppcjGyyInho0Dl7q08rS+CHlB0DxzqrDWfvMWXVBA23b34KNzyqF8bfBDe8pq4EakFNWQ2phFd2CPDv8g40z95mL9uVCjRVNWFibc0iInp5o4+LQxjnOgSgZjZhzc2sNXVk2xq66T+PVxEgSxrPpTbbp6m5X8/nRzzlefJwlh5bw+MNP8MEDP2ExF7P2vyu55TVlBeltw6IY0zOYtMJqEtNLeHX9ST7elopZkll0XV8EQbB5mbciK7kV2sOg5czXt7Nqc+nqfJyPtoMZpTy1OgmAueN7MHVEJDm/5yCVG2trWPDvnoi66zgADKeUcIOGAC9S5HzCPMOY2X9mi+epKCpk44fv2JRt/OhdYgYOqZ/IbKWu0rxqZElG66HGw9etdUI7GM48HtvKzp078fPzsxqzACZNmoQoiuzevZubbrrJbp/ExERMJhOTJk2ylvXu3ZuoqCh27tzJyJGOw7mXlZUREBBgVz5o0CAMBgP9+/fnueeeY/TotofFbC+cbaykFlbZpW5q1WSsqFLCd626D3a8C8PngLutwaSpRUpqf3/UI4bjOWI4APKZJEquuRWxUUM8t0LNdceaXMTUEsb0DHL+71kazzZHfbIUj8Ft90i9kKh9ta1+3nML8KD3xGZCy2rcQeMJpiqoLrLzomsNZ9e/Q3TeVvSyhj/6vchfx/Q852M0pmEOLQB1bbSCumdgR9eY6OkJgoBvbR6t/LQzDo89tdtUvj39LRvSNrBw+ELUYseaJne2+0cdHVqXIMDkxfDZdZD4CYx8CAJbn4uvJW2OonCoBIGYIMfehh2FjtZnHetKvQyRJIni4mICAgIQReeJ1+qsusB5tTmrLjh/baf35QMQOzTUYai/wgIlHGFYr75tap/+VG24wTg/BNH++O8feh9JlhjXdRzxwfHWcmftM2fVBSCVnMX001NoU2oTz14xDyY9r4TXaMDKvek8vSYJSaZTxFR25j5z0b50xrEiurnhFhWFW5Tja9CYlUXK5Cm2Ri1RxC266WtWFEQWJCzgLxv+wjcnv+HO3ncyaGQCids2kJ6VTtbRTLr06wooeQbCfd0Z1SOQQE83nvk2iU93pGGWJJ6/vr/jHApCbW6FdqAz9llrcVZtLl2dj7Zqyy3TM+fzfRjNEpP6hLBgci+qDxUoxiw3CJQXoxFTUd9Un/Bef/IkAMcDagCB+UPn465u+X6Rn5aC3GiSV5YkSnOzmzRoNaWrKKs+3GBnDaPtzOOxreTm5tqF+FOr1QQEBJCbm9vkPm5ubnZeVaGhoU3us2PHDlauXMnPP/9sLQsPD2fJkiUkJCRgMBj4+OOPGTduHLt372bIkCEOj2MwGDAY6sM+lZeXA2CxWLBYFE8QQRAQRRFJkmzGf115Xb3myiVJorS0lMDAQLtrqG7sNM6N3FS5SqVClmWH5Y3b2FT5+WqK8ne3m4wF2JVSwPAYv+Y19b0Rgv+NUHACace7yOOettMkBgejCw5uVlNYTD+Ozb2RsPe+QyWDBOCmgjNppN16K3533kHgvHmovb1bpcmUk0PZN6soXbHCzpgFyuImR3/3jtxPDdsoCAIWiwVJkigpKcHf3x91raeZnSaPAISyKiyVBeBbH+CxNZoyTycRsusFAL4Lms2cGdNs6rdVk1qr/J0N1SYsFguqQMVLxFRQbaMrMDDQenxQjFo+NYrRqyQ3m5qqStx0DUJ3q1QMCx2Gv9afEkMJO7N2ckXEFZe8nxpTXFyMn5+fzW9NZxt7jcslSaKoqAh/f3+rlg6lKfpKxNjJcHoj0m/PI89Y2qKmura3dJ2FeLnVRuFIwlI73/PPG/sR4uVmrdtR+qlh25u6zhq2sS395GjMtwaXQesSI8syZ8+exd+/7fFkOyLOqgucV5uz6oLz02YyWEhLqgs3aO+BZTboKbOYQBDo0tb8WbUGLW0v+1WGp0pOsS51HQBzB8+12easfeasutj3CcJPj2FdP9f3RpjyT7tqOWU1LFyTZH2X6gwxlZ22z1y0O844Vty6dLENkQMIbm5I1dXN7jcifAR/6vIntmZt5a39b/Gf2S9xaMfvmKUK1r7/Hfe+8RAaN5XNPncMj0IlCjy1+jDLdqVjkWRevHGAbQ4FQHBTIWraZ4LVGfusDmfV5tLV+WiLNr3JwgNf7CO/wkDPUC/euG0QgiRTvvEsAD6hh3Av2Au9r4Xg+hXyhhOKQSs1WGJwSAJTY6a23D5JYv/aH+3KBVHEL8w+jFxLuopz6gxanTfcoDOPx8YsXLiQV155pdk6x48fvyhtOXLkCDfccAOLFi1iypT6cJe9evWiV69e1v9fccUVpKSk8MYbb/DFF184PNZLL73E4sWL7coPHz6MV224ssDAQGJiYkhPT6eoqMhaJzw8nIiICM6cOWM1hAFER0cTFBTEiRMn0Ov1NscNCAjg8OHDNpN9ffv2xc3NjYMHD9rUHTRoEEajkWPHjlnLRFFk8ODBlJeXc/r0aWu5TqejX79+FBcXc/bsWWu5j48PcXFx5ObmkpOTYy1vD00PDPXhg8RyJLl+Tc1bm1KoLi1g/nUJzWrKjrqNHgWLkXe+z1GvPxE/YmybNMV28cDtxgJyqrVoxz1K7ytnceb/nsWyeTOly76k+Odf8Hr0UaJuu9WhpsDAQE58/TXSz7+g2r8fobG3fS2yKCKHhiJJUqfrJ4DY2Fh8fX1txl5GRkaTY2+IRyCUZXDmyD7KC9St1pR04jQhv84lGiMHVAO4Yc7zFOTntYum/CLFuF1aVMHBgweJ8VBCGNbklNu038PDA3d3d2uZTqtFW1mJh5c31ZUV7Px1I75do2w0VVdWM9hzMJsMm1i+fzkB5QEdpp9Aubelp6eTnp5u00+ddeyBct9TqVRkZGSQkZHRcTVNeg759K+Ix77jeOAUqv16N6up8fWUkZHRpKbbhg1mcJiOnUdOE+6lJlBdyIkTlR2unxzdI/z8/Nq1n5KTk2kLLoOWCxcuXDRDWlIhZqOET5CO4Chvu+05O3ciCQIai0TQsBHnfHxLhRFTbVJsXZx9jOr3DryHjMyU6Cn0Duh97gJcdAyKUuCnx7BZg3z8RyjLUmLK11JjtPDiz8c7bUxlFy4uV/xuvhndqFEc37AB3x9/xHDsOBkPPEjMyq9QOwiJVMf8ofPZnr2dX9N/JanfPQweEsPefcmUlxxm9/cpXHmLfZiWWxMiUYsCT3xziBV7MjBbZF6eEU9YT3/MedWUfH8aS5Ge0h/PEHBbLwdndeHCRWdHlmUWrj7Mocwy/Dw0fHRPAt46DZU7s7EU6xE9VXgVvqRUHv2Yzb7FRw8gAukhIk8Nf6pVHlI7Vq0gPekggkoFtatsBVFk8uyHm/TOao7i2mffgPDOmzv0cmLBggXMnDmz2Trdu3cnLCyM/Px8m3Kz2UxxcTFhTYTgDQsLw2g0UlpaauOllZeXZ7fPsWPHmDhxInPmzOEf//hHi+0ePnw427Zta3L7008/zfz5863/Ly8vJzIykvj4eHx8lDDzdddHVFQUkZGR1rp15d27d7c5Zl157971720Wi4WkJCUsaHx8vE39uhXwgwYNsivX6XR25aBMBDoqDwgIcGhgDQsLIzS0Pg90e2gaNAjuHF/Dpj2HGTe0H8v3ZfHBH6l8tL+cbtH53DE8qklNMdPmIWesQpV/lP4VW4Cx567Jko1w5G0ErYmwq/4GY55AFEVi33+Pym3byH/hBUwZmVQ/9xyZmzcT+fdnwMMD09l0VEGB1Pz8C2e++goxNZW65T/uw4bhf9edSGVl5C5+3prHK+y5RXhFR9fq7lz9VNdGUMZe3VgcMGAAGo3GoSaOKTnBe4T5Ig+03daUpqryIgybX6Efp6nAk66zPsVdq0HbTpq6x0ZzhFLUohuDBg1CrjZTQwqqGpmB/eKRRJmkpCR0Oh2iKFrbmBYQgLGoiKCgENIrK/DVqOza7+Pjw58T/symDZs4WHWQ7nFKGy5lPzWkzqtlwIABqFQqm/qdaew1Lq/zymmoq8NpEoOQ429DOPwVvTNWII39DrG2rc3dyxteZ81piusaTI+IwIuriXPrpzpNUP9bJooiGo2m3frJ3b1tc1wug5YLFy5cNIM13GCC43CD2bt3AOCn0SK2IUFsnXeWposXKi/bHAJHC4+yKWMToiAyd9BcR7u76Azoy+Hre+zLZQsUn7EatHadKWLh6sOkFdl7dXSGmMouXFzuaMLCkOLj6XLttWTceRemjAwy/zqXqM8+RdQ6zm0Q6x/LTbE3sTp5Na/te40lf36effvmIVuyObB+L90HhxARa7/YYfqQrqhEgflfH+KbxEwsksx/bhmIzldLwG29KPjvIaoP5OM+IAj3vvYvSi5cuOi85JTV8PZvyXx3MBuVKPD+nUOIDvREMloo/01Zwe3T5TBieiVEXwmRw6z7WixmzMkpuAGxCZPoF9hyLoTk3TvYtXoFAFc98AhR/QdSmpuNX1hEm4xZAMXZlQAERrgMWp2B4OBggoODW6w3atQoSktLSUxMZOjQoQBs2rQJSZIYMcLxwr+hQ4ei0Wj47bffmDFjBgAnT54kPT2dUaNGWesdPXqUCRMmcO+99/Liiy+2qt0HDx4kPDy8ye1arRatg99nlUplM3EM9RN7jupe7HJBEByWN9XGcy1vbVsi/NzpH6Kla6AXC6f1QZLho62pPPPtEdQqkVsTIh0fR62B8c/AyrsQ93wAo+YieAa2XlNlAeI394DFCL2uRhzzN2v4dlEU8RkzBq8ff6RwyRKK/reUys2bqdy+Hcxmu3CCoocHvjfegP8dd9jkUnW/8kqOb9pEnwkT0HWpX3zYGfvJUblKpbLObdjV91CeG0V9CTTa5kjT7tVvMuzwc0QLyt/2bOhk+neNbbbt56rJvXaexKi3KGHNvEQErQrZYEEuM6IK0lnb17CNqlpPywDfANJJoTA91e4cgiAwNGwoIR4h5FfnszN3JxOiJnSIfgKshh9H96WmjtORx17DNtZta7y9I2kSJ/wdjq5BSNuKKnUzxE1qtn6rrzM6Rz85Km98nTXedq6amjpvS7iCPXcA6lb/OBvOqgucV5uz6oK2aTPWmDl7RHHddRRuECDvtJJYOzi06XArzWHNn9XTfrXCOweUxNvXdr+W7n7d7baD8/aZ0+iqLobPb4C8I/bbBBUEdKdCb+If3yVx+4e7SCuqJsxHx8wrolHVPfwIAv+a3r/De2c5TZ+5uOA481jx8fFBHRBA5AdLEH18qDl4kJynn0ZuIowNwNxBc3FXu3Oo4BA7jSn06aa8fJsNB9j02XFK8qrJPFlCZYlt6KIbBnXh7dsHoxIF1hzI4sEvEtmaXECxrwavPyn5t0q+PY1UbWoXXc6Ks2pz6ep8tEbbyr3pXPHyJlbsUUL0XBcfzhWxilGpcns2UqUJlZ8Gz5x/KTtcaeudtWHH57gZJUwquHfqwhbPV5iextr3XgdgyLTr6Td2It6BQUT2i2+1MauxLpPBQnmhcj8L6OQGLWcej22hT58+TJ06ldmzZ7Nnzx62b9/Oww8/zO23305EhPKulJWVRe/evdmzZw8Avr6+3H///cyfP5/ff/+dxMREZs2axahRoxg5ciSghBkcP348U6ZMYf78+eTm5pKbm0tBQYH13G+++Sbff/89p0+f5siRIzz22GNs2rSJuXM7xqJAZx0rDT3Znrm6D7NGxwDw1OrDrNmf2fSOva+BsHgwVsKOt1t/QosZVs2C8iwIjIWbltjlIgYQdTpCHnuM7t+uQRc/AEwmO2NW0GOPEvvHFsKefdbGmAXKIiWvkSPRNOFZ2JlpcSzWGrSoLmq+HpCXmULC4ecQhfq/be/cH8jLTDmfJtrhplMWDhtrzIAy3tTByruxuVDJkeVIl+hda9DyVCLt5KeecXh8URCt4Xfr0j10JJz9/tGh8YuC4XOU778uss2Z3AydQlsb6Ei6XAatS4xKpSIuLq7NFsmOirPqAufV5qy6oO3aUg8VYDFL+IV6ENjFcYz/omIlv1ZYv/7n3C5ZkjEk1xq0etkatBLzEtmevR21oObBgQ863N9Z+8xpdFXkwidXQ/Z+cA+AMX9TjFig/Hvdm2zO1XDVG3+wbJeyovqO4ZFsmD+G567vz7aF41kxeyTbFo7ntmFRl1BIyzhNn7m44DjzWGmoTdu9O13feQc0Gsp/WUvBW01P1gR7BHNvv3sBeDPxTeJvvAsAyXiS0rx8li/axfdvHODzZ3ZwbHu2zb7XxIfz3p2DEQXYeDyPu/+3h9Evb2JjgIA6yB2pwkjpz6ntpsvZcFZtLl2dj9Zoyymr4ekGOTYBfjyUTU5ZDVK1iYotipHLJ+o4gqkMQvtD7CRr3WpTNRt//QgAQ3Qowd7NT9TqKyv5/tUXMRn0RPWPZ+zd97eLrrr8We7eGty93ZratcPjzOPxfPjyyy/p3bs3EydO5Oqrr+bKK6/kww8/tG43mUycPHmS6gZ5Jt944w2uvfZaZsyYwZgxYwgLC2PNmjXW7atWraKgoIBly5YRHh5u/QwbVu99aDQaWbBgAQMGDGDs2LEcOnSIX3/9lYkTJ14c4c3grGOlsS5BEHj22r7cPTIaWYYnvjnE9wezHO8sCIqXFsCej6CywHG9xvy6CNK2gpsX3PYl6Hybra6NjSX48ccdbvMYPMTqwdOSNmehVbo8akNlVxe3eLyfft+GSrA1FKoFicKzJ86nmXa4uSsGLYtJwmJWDArqwHqDVlO6VF6KISvATfHELMw4i8XseKHXtG7TANicuZlqU/N5cC8ml/VY7Cj8aQFofZVFyklft1i9U2k7BzqaLpdB6xIjSRLZ2dk2idecAWfVBc6rzVl1Qdu1JScq4QbjEkIchhs0FRdTKioPcF2vHHvO7TJlVSJVmxF0Ktwi61c6yLJs9c66Ke4mIr0dh2tw1j5zCl0labD0Kig4Dt7hMGstTPgHObN2s2P4f0m+YzvzT8cz85O9ZJfpiQrwYPlfRvDS9Hh8dEo883Bfd0b1COzwnlngJH3m4qLgzGOlsTbPEcMJf/55AIo++IDS1aub3HdWv1kE6gJJr0hns28FXf0sgIzZcMhaR5Zh85cn7Dy1Bkb6IQOe5kq61GThbqrkqe+PIk2LBgGqE/OoOdnypERrdTkTzqrNpavz0RptB9JLkOxybEJaYTUVWzKR9RY0oe54ZNSGYxv9qDJpXMvHSR/jn1kGQPjAkS20x8LPb/+b0rwcfIJDuObRp6x5I85XlzV/VoTjieTOgjOPx/MhICCA5cuXU1FRQVlZGUuXLsWrgdEgJiYGWZYZN26ctUyn0/Hee+9RXFxMVVUVa9asscmf9dxzzyHLst0nLS3NWufJJ5/k9OnT1NTUUFRUxO+//8748eMvhuQWcdax4kiXIAgsvr4fdwyPQpLh8ZUH+flwjuMD9JwKEYPBVAU73mr5hEmrYOe7yvcb34eQ1uWX1nbrZu/FJYq4RTe9YPBy6jM7rAat5j20fj6cw55jZ+xyP5tlkaDo9s39XWfQgnovLXVQnUFL36Qu0VsxaLlbZLQenkgWM0WZGQ7P0S+wH5HekdSYa/gj8492bf/5cFmPxY6CR0C9x/umf4JJ32z1TqXtHOhoulwGrUuMLMvk5ORYE/05C86qC5xXm7PqgrZp01eZyDimTADGJoQ6rJO75XckUUQtywT1OveHNn3tBKMu1g9BVT/hsDNnJ4l5ibiJbsyJn9Pk/s7aZ51eV8FJWDpNMWr5x8B96yCkNyv3pjP6v6e48w9fJi89w5r9WQgC3H9lN9Y99idryKDO6ThFnAAAIABJREFUSKfvMxcXDWceK460+d10I0F/fQiAnEXPUbVzp8N9PTQe/HXQXwFYcmgJfcaNBsBiOIws168klSUoy6+x2Te1sIr+pUnMyviC6bk/MDNjGb3Lj3NKLeM1Wsn7ULo6GUlvbjddzoKzanPp6ny0pK3aaObt307blasEgWitmsodivemT/dkhJoCJUROv+nWepkVmXx29DOilbVaePTp22x7tq34nLRD+1G7abnhiX/g4dO8F8S56KrLn9XZww0683h00b4461hpSpcoCrx4Y39uTeiKJMMjXx1gxe50dqQUklPW4BlGEGD835Xvez6GirymT5Z3FH6Yp3wf/Rj0vaHV7dSEhRH+/OJ6o5YoEv784mbDCV5ufWaDNeRg04uh9qQW88zXu3haswJBwLrYwiyL7I9fRGjXHu3YamVMqbXKogpDrUFLU2vQMhXWNKlLVRtyUK6sIjimGwD5aY7DDgqCYA07uDZ1bbu2/3y4rMdiR2LkQ+AdAWUZsPfjZqt2Om2tpKPpchm0XLhw4cIBZw4WIFlkArt4EhDu+IU7a58S+91f54nQRJLD5qjPnxVgLcupzOHl3S8DcGuvWwnzdL643U5N9kH4ZBpUZENwH5i1DvxjrGGCGq+s/uDuofzftX3xcFM7Pp4LFy46PUHz5uFz7bVgNpP5yKMYTttPSgNMj5tON99ulBpK+a27Fm+NGWQ9Zv0BLKZ0ZKkCQQTfEHdMBj1phw+wdfmnHP/vc4wt3kbdsggRmfGFW3j3x30wJgJ1oA5LuZHSnxy/wLtw4aJjY5FkHv3qICdyK/BwUyHWXux1OTbd9+YjmyTcorzQnXlJ2ThqHqjqny1eT3wdo2SkZ5ES4k/bs1eT5zuxfQt7f1A8Sq966FFCYhzncW0rdSEHAzu5QcuFCxdNI4oCL02PZ/rgLlgkmae/TeLOj3Yz+uVNrNybXl8xdhJ0SQBzDWxvwkurpgS+ugtM1dB9HEx89pzb43fzzcRu+o2ozz4jdtNv+N18c5t0XRa0kEPrdH4Fsz/fx2OsIEbMQ/bpQuG9f3B08nKKZu9j+IzHHO53vmh1ikHLpLcADT20aprcR6z1DrVUVhASoxjZ8tOazu9VF3Zwa9ZWyo3l599oF86Dxh3GP6183/oq1JRe2va4cBm0XLhw4cIRp2vDDcYOdeydBfVJRYO7nnt+I6nahDGjAgBtTyV/1prkNVy1+ipSy5V8Jy5jVifj7A747Drl4T9iMMz6BXzCkSSZD/84Y2fMAvDWai5+O124cHFREQSB8Bf/ifvQoUgVFWQ88CA1x45RtWs3ptxcaz21qObxIUqehy+TVxI3KBwAi34bpspVGMo+wt19Az+9+Szvzrqd1S/+H3u+X0VpRhqNg+KKyORkZHLXp3tRXdtNCT24L8+6kMKFCxedhxd/Ps7GY3m4qUU+v2842xdOsObYnNE9mKq9ileDb890hLKzymTk4D9b99+bu5eNZzfiaRDwLTYAoO3V0+G58tPOsH6JkvNv2A030/uKMe2ux1lCDrpw4aJ5VKLA/Cm29xpJhmfWHKn31GqYS2vf/6C8UXhCSYI1c6AkFXyj4OZPQGxb/hZNWBieI4Y365nlgmYNWvnleu5dupfe+sPMUq8HQLj+HUK6D6Tf6Gva3TOrIXVhB+s8tNSBOgCkCiOSweJwH7E2h5ZUUWldnFE3h+OIOP84Yv1iMUkmNqVvare2u3ASBt4Jwb0VI/v2Ny91ay57XAatS4wgCAQGBjrMz9OZcVZd4LzanFUXnLu2mgojmSeUSb/YhBCHdWSLhaIKZVVGePzgc26T/nQpyKAO9UDtpyW3KpfFOxcjU2/1eD3xdXKrcps8hrP2WafUlfwrfDEdDOUQfSXc8wN4BHAit5wZS3bwyfY0u11UgkBMkMfFb+sFoFP2mYtLgjOPlea0iVotXd99B010FKasLNKmzyB95kxOT5hI6apV1nrjIscxNHQoBouBTTFawNYSXpx5hKwTx5AsZrwDg+k7ZgLj7vmLw3P66NQczS7nzrVHEYcqv2UlbQg9eLn2WWfGpavz0ZS2T7ansnS7stDptVsGkhATYJNjs2zjWZBktD390Sb/R9lp+APgpjxfWCQLL+9RPP/v1Y0DQB0aitrf3+Y8FUWFJO/ZwbevLMZsNBAzaChX3n53u+syVJuoLFGMagHhnfsZyJnHo4v2xVnHSmt0pRdX25VZZJm0wqr6gh4TIHIkmPWw7Q3byltehuQNoNbBbV/U53e6wFzOfWY1aNUUKwbFWioNZmZ9upeS0hJe132kFA65F2InXsAW11Nn0KrLoSV6aBA9lTKpWO9QV13IQamigpBuirGt4OwZ5GZyANWFHVyXuq59BbSRy3osdjRUapi4SPm+679Qnu2wWqfU1go6mi6XQesSI4oiMTExiG0IV9aRcVZd4LzanFUXnLu2lAMFyJJMcJQ3fiGOX7Yrd+ygXKs8QEWMaD6xtiPqww0qEwrp5elIsu2DlSRLZFQ4TloKzttnnU7X0e9gxe1KqIy4q+DPq6gRPXl57QmufXsbB9JL8dKquX5ghF2YoHBf90vb9nai0/WZi0uGM4+VlrSp/f2J+Oc/bQsliZxnF1k9tQRB4ImEJwDYnZ4Idr5X0GPQGO5/6yNmv7eUaXPnM/SaG5k8Z55d6Nvpxn1EeKlJzq/k3pRsZD83LGUGytamtquuzoyzanPp6nw40rbxWB7P/3QMgKem9ua6gRE2+xizK6k5WACAb988yEsCjScMnw1AblUur+17jVMlp/Bx8+F6eSAA2t624QaTNm3go7mz+OG1f1FZXIS7jy/XzPsbYhu9IJrTVZyjTG57+WvRenRuL3VnHo8u2hdnHSut0dUtyNP6/tOQz3acxWiuffdt6KWV+AmUZSnfT66FLa8o3699EyIGtWPrm+dy7jPca42GsgR6ZQGvySLx1y/3czS7nEXuX9NFzgXfSJjyz6aP085oGxm0ANSByru0pdjgUJforXhoWaoqCYjoikqjwVhTQ2l+04uGp3ZTDFq7cnZRrG86j9jF4rIeix2RXtMgapRigP/9Xw6rdFptLdDRdHWMVrSB9957j5iYGHQ6HSNGjGDPnj1N1v30008RBMHmo9PpLmJrm0aSJNLS0pCaWSHQGXFWXeC82pxVF5y7ttOJSuiW2KGOvbNKV63i5MNzMatUiJKEem/iObVHlmU7g1aUj33YQlEQifSObPI4ztpnnUrXgWWwahZIJiX5+m3L2JJayZQ3t7BkSwpmSWZqvzB+nT+Wt+8YzNYnx/HGdTH88eRYbht27qEqOyqdqs9cXFKceay0RptscbBNkjCerc8n0T+oP9NiplHmYbLx2lUQKMrthbtvsM3quAETpjD73aXc+uy/uOulN3H38aU8O50n/U4QFeBBckk1zxmV1dBVu3PRn2596MHLvc86Iy5dnY/G2g5nlvLIigPIMtwxPJIHx9rnsSrfcBYA9/gg3E7UejUMvRc8ApQw1quu4ovjXwAwustoxBTlPqNrkD+roqiQjR++Y5PgW19RgcmgvyC6irMrAZrMT9uZcObx6KJ9cdax0hpd4b7uvDR9AKraZxZBUD7rjuZy79I9lFWblIrdxkD0aLAYYdMLcHAFrP6Lsm34HBh0x4WWY8Pl3Geo3UDro3yvLkaWZZ5Zk8QfpwoYqznObXKt59L174DO58I3uhaNzjbkINTn0TIVVDvUVZdDS6qoRKVWExQZAzQfdjDaJ5q+gX2xyBZ+Pftre0poE5f1WOyICAJMWqx8P/gl5J+wq9JptbVAR9PVKQ1aK1euZP78+SxatIj9+/czcOBArrrqKvLz85vcx8fHh5ycHOvn7NmzF7HFTSPLMkVFRTYvEc6As+oC59XmrLrg3LRVlRnIOqWsRHJk0DLl5pLz7CIKPRWjuKfeSN5zi23yoLSEOa8aqdyIoBHRxvgCEOgeiIe63htMFEQWjVrUbB4tZ+2zTqNr13/h+7kgS+TF3krSyFd55Juj3Lt0DxnFNYT76vjongSW3D2UMF9lvIT56IjS6Qnz6RiLKtqLTtNnLi45zjxWWqPNLSYaGq9qEwTcom0N3I8MeQSTp8iOAcXUhR0UkPHxSkBv8Gb314fsju0dGERkv3jCusdy9dz5AKRs3cirCTKxIV78Vl3DLxplEqBkVTKSoXWhBy/3PuuMuHR1Phpqyyyp5r5P91FjsjCmZzDP39DfLryLIa0M/YliEMFnYCWkbQVRDaPmWsNYS9RPOKxPW0/F8SOArYdWSU623d9TliVKcx2H0TkfXdAwf1bnN2g583h00b4461hpra7bhkWxbeF4VsweyY6FE/hs1nC8tGp2nilixpIdZBRX23ppHVoB3z0Ixkrw7w5TXrwIamy53PvMGtqxuoi3fkvmm8RMvAQ9S3w+UcqHzoIe4y9sYxuhdVe8hk16e4OWubDGoS6VV33IQYCQbrV5tNJSmj3XtJhpAKxNXdsOLT8/Lvux2BGJGgG9r1W8GH9bbLe5U2trho6mq1MatF5//XVmz57NrFmz6Nu3L0uWLMHDw4OlS5c2uY8gCISFhVk/oaGhF7HFLly46Cyk7M8HGUK7+eATZB8Ozph2lgw/T452DQagwl1Lhp+nzer6ltCfVFbGa7v7ImiU2/COrB1Um6vx0/rx0eSPWD9jPdPjpreDIhftjizD5ldg3UIAPjJfw4gjN3Dde7v44VA2ogD3X9mNjfPHMrmv67fGhQsX9WjCwgh/frGtUUutxlJaalOvq3dX7uh9B8mRley9Mo0ZUYeZHbePqWFbAEjaWUL+r2uaPE/MoKEMv+FmAHZ/voSPb4qhX4QPb5iqyRUkLKUGTq48UZ+U3YULFx2C8hoTsz7ZS2Glgd5h3rx352A0KttXdlmWKVuXBoBnQhiaI28rGwbcAr5dHYaxliUL5mRlAk/Xq96gZaiqtGuDIIr4hUXYlbcHRVaDltcFOb4LFy46Jg1z/43pGcw3D44i3FfH6fxKbnp/B4czS8G/m/2OpWlQVXDR23vZU5tH65s/DvLmr8kArIlbh3tVJvhGwZQXLnqT6nJoGWos1jKrQavIsVexNeRgpfJbFxKj5NE6m3SIiqLCJs9VF3YwMS+RvKq882y5C6dk4iIQRDj5C5zdealbc1nS6QxaRqORxMREJk2aZC0TRZFJkyaxc2fTg6iyspLo6GgiIyO54YYbOHr0aLPnMRgMlJeX23wALBaL9VPnZidJksPyhmXNldfRuFyWZWRZbnU50GR54zY2Vd5emuosts6qqeF2Z9HUUJczaWqpjQ01lRVWc+QPJWZ3XEKow/oGP2+SugYrq8gABIGkrsEYfL1aranmpBKL2S3Oz1r2Q8oPAFzb/VqGhQ4jWBfcquvpXK6zztBPdW1vvK3DaDKbkdc9A5uVeMmvmW/hRfOdNMxz8+HdQ3hmWi/c1YLDtrd0nXWmfnLU7vbW5MKFs+F3883EbvqNyKVLcR869P/ZO+/wKKq2D98zu9n0bHoDkpCEFmpAmnQUQQEL+ooV9VVUrIioqK/1U7GLvWDHhgWwICrSpINAICH0kIT0vqmbbfP9MdlNNptAAhuSLHNfVy7ImbMz55dzdnfmPA2MRk7cdRem4mK7frcPuB1fjS/7/UT2zLgH34d20+3Bj+kZmAKIrF9RjOWH26CmrMnrnH/1DUT07I2hpprNixex5JYhJEQHsFCSjVi+qaXcvXADS3e23CFDQUGh7TBaJO76Zg9HCioJ83Pns1uG4uvhWGeqancBhvRyUAn4JZrhwK/ygVH3A3Iaa6FR/b3wMhFBX4ug0aCJiQGgvKiQvz95z66fIIpMmn0PvkHBzhdIg5SDLhChpaCgcPr0ifBj+V2jSIjwo6iylpkfbuPfPf86dpQsUNJ8ejiFtiHHIBuKdhw4CsBdUdn0zPxePnjZ2+Due9bHpDlZDa2iph20rCkHpZoaJKORimLZOJp/7DCL776F5LV/Nfm6cO9wBocORkJi8b7F5FW1PBuPwjlCSE9IvFH+/+onZadnhbOKur0H0FqKioowm80OEVZhYWEcPOiYuxKgV69efPrppwwYMACdTserr77K+eefz/79++natWuTr1m4cCHPPOMYOrhv3z586j4Ug4KCiImJITMzk+IGmxARERFERkaSlpZmM4QBREdHExwczMGDB9Hr6z0IAgMDEQSBvXv32uWiTEhIQKPRkJSUZDeGQYMGYTAYSE1NtbWJokhiYiLl5eUcPXrU1u7h4UHfvn0pKSmxS7Po5+dHjx49yMvLIzc319buLE1xcXFERESwf/9+l9EUHx+PVqu1GUOTk5NdRtO+ffts85ScnOxymgCCg4ORJIm9e+3TNFk1rV+WRNrG+hshi1lqUpOvZK43ZlkRBKrMJvQt0CSYJELT5esUeFSgS8qn2lzNusx1AEyPm95iTb179yYsLMy2Fhtr6ozzlJCQgFotfzU11NUhNElmove9QXDm7wB84X0rbxdfQGNyT2SQVFOfqqep91NycnLH0FTH6cxTU58RkiSh1+udpunIkSMOf1+Fzo0gCERERDikz3IFWqPNLTwct/BwPPsmkH71TAwZGWTddz/Rn32KoNEAoHXXcseAO3j131d558SfTBl6L55qT0Y9dBsZT26i0BhH8o51DDwxCmZ8CDGj7a6hUquZdt/DLHnkPvKOHWHf8m945aprmPjaBlZg4HI0PIIn//0phbE9Q4jQOkYlt1ZXZ8NVtSm6Oh+5Oj1v7Kxme2YF3hoVn948tMn3ZOWOXMqW1X2XmiX0f/+ONxL0vBhC+wDyRtzA0IEkFcjf0aIg8pD/lcC3uMfHI6jVGGv1/Pzqc1TrygiJ7s60uQuoKi3GPzzSqcashnNWU2GgpkKul+MKNbRceT0qOBdXXStnqitc68H3d47knm92s/5QIff+qWOzu4jYIF0qggoCHWsItjXn8pzl6mrYlgczVBBABd7UcF3+S7L/5nm3Quz4szVcO5o0aNVFaFmqTYQHdHXQZU05CKDLymTnzz/afpckidWL3yFm4OAmv/espR+WHl7KD0d+4KmRT7VLBp1zeS12eMY/Cvu+h6wdcHAl9JkGuIi2JuhougSpoyQ/bCE5OTl06dKFLVu2MHLkSFv7ww8/zIYNG9i+ffspz2E0GunTpw/XXnst//d/TYfK1tbWUltba/u9vLycbt26UVJSgp+fXPhQEAREUcRisdjlkLS2N/Ysb65dFEUEQWiyHXAsbNhMu0qlQpKkJtsbj7G5dkWToulc1FRZqmfJ41vtnCoEEW58biReWo1d/6rSEhbfdbOdUUsQRWa/8yneAYGn1KQ/UELpVwdRBXoQMi8RQRBYcWwFT299mlhtLCsuW9HkGJV5amdNZgPCijsRU1cgIfKMOIfPq0fRGJUgsOGhcURo62tkdVhNDeio86TT6QgMDESn09m+exXOHuXl5Wi1WuXv38bUpqWRPvMaLBUVaK+6koj/+z/bg4LBbODSFZeSXZnNvYn3cvuA2wFI+SebDd8cwk3Uc13Q3fioSuXojAmPy8W8G3Bk51Z+eVWuP9F71lzu3liLF7AEH8IQ+YFaRsxOZGRc0FnVraCgILN0ZyYLfkrG+k14y6gYnpre16GfSVdL3sIdjVrNhLv/F/Wt30DUCABqTDVM+H4CVcYqHhn6CBdGX4jqkx8oeu89tDNmEPH8c6x882UObd2Ip68fNyxchF+IY91YZ5N9qJQVb+zBL9iDG587v82v1xlRvnfbF+Xv3z6YzBae/GU/32zP5GrVOl5Qf4JasGCSRHYPeIphV85t7yGeU/y06wSlyx/iNvUqPjBNx5dqrlevQe/dFY/7toN7+6SMPbAll7VfHiCqbyDT7x1ka895fjuWCgOhdw9C080xcuxg4mCkmhrcP3iH5e+/4XD86idfoFvfAXZteVV5TP5xsl0tSlEQ+fPKP09a41zhHGTNs7DxNQjuCXO2gqrTxQ21O6f73dvpUg4GBwejUqnIz7fPY5qfn094eMs+WNzc3EhMTLTzFG+Mu7s7fn5+dj8gb7JZf6wbd6IoNtnesK25doCjR49iNpsd+guCgCAILW4Hmm1vPMbm2p2hyboRafWsdxVNDa3QaWlptj6uoMl6HasuV9HU8HpHjx7FYrE02V9XqHeIEJYsUF6od+ivKS6le6HO1q9hapaWaDIclV/r0TMAtVqNSqXi9+NyxM+02GnN/t2be59ZP8dcYZ6s7RaLxe491u6azLWovr8RMXUFJtTMMdzH59WjiA325tbR3VFZtQgCL8zoR9dA72bnoyXvs84yTw3HaNVlsVicrknBtTCbzRw5csQl00merjb32Fi6vP4aiCK6H3+idMkS2zGNSsN9ifcB8GnKpxTXyBGXfUdHEtbdD6PFg02qZwAJNi+Cjy+AwkN25+8xdCSJF08H4PhPn+BrrqQaeBE5Wvg/uHNiX/P1AZQ563woujoPuboaO2MWwJdbMpqsb2fKq2riDCpMwRfajFkA60+sp8pYRaR3JNf1uY5w73D0h+TPBY/evdix4gcObd2IqFJx6bzH2tSY1XDOSnJdq36WK65HhbbBVdeKs3SpVSLPX96Pu8bH8b15AqNr3+Qaw/8YXfsm1/7bs13qfZ6rc1ZQrueVvw5TIsmGoQvFXVyvXgNA1cWL2s2YBeDeRIQWgDpYdiTNSjnepC7RR44I9vPwcogsaa5mZGZ5pp0xC8AiWThRceL0BZwm5+pa7DSMuh88A6HoMCR9BbiQtkZ0NF2dzqCl0WgYMmQIa9assbVZLBbWrFljF7F1MsxmM8nJyURERLTVMFtFw7RProSr6gLX1eaquuDk2vxDPR2zCIqgDXVM9VKxejXuRvkmqmuffsx+51P6T7yoxePQHy4FZIMWyN4/O/N2AjA1dmqLz2PFVeesw+jSl2NaMgOOrqZG0vBfw4NsUI3k4Sm9WDV3DE9MS2DTggl8O3sEmxZMYObQqFOessNoczKuqkvB+bjyWjldbT5jxhD60EMA5L/4EpWbNtuOTek+hYSgBKqMVby/930ABFFg/PW9EESBY3ldyRj+rfwwlbcPPhwLOxbb5XIfe/1/Ce0eR21VBbdbtqJGYidmfsMAQLftBXy24ZjTdXUGXFWboqtzsGxXFo3TpZglifSiaoe+telNaTejHmWfAunXY3JNramxUxEF+XG/ts6glasS2LRUNppPvOVOuib0OzMBLcA6Z8U5VoNW5083aMXV1qNC2+Gqa8VZugRBYHQPOe1bHkFssySQR1Czn4dng3NtznQ1RmZ9uoM8nR6DRt6riBflNPpHoq8hqN+kszbGptB4yo6OtTX2m+luwV4AGAqbcvoAlY9snPMUVUy6/d76A4LQbM3IKL8o2/dnQyoNlac19jPlXFuLnQoPLYyVn+FYtxAM8ueVS2hrgo6kq9MZtADmzZvH4sWL+eKLLzhw4ABz5syhqqqKW265BYBZs2bx6KOP2vo/++yz/PXXX6SlpbF7925uuOEGMjIyuO2229pLgoKCQgfCJ8CD+PPq6/IJIoy/vjc+AR4OfSv+/psKTzmdU1S/ga2qM2AqqsFcogeVgHucPwAr01YiITEkbAiRPo7eQQrtQ37WMQ6s/YaSdyaiPrGVcsmTGw0L8E6YzN8PjuOu8fG4q+Wb6gitJyPjgpqtP6OgoKDQEgJvvgntFVeAxUL2vHnUHj8OyClO5p83H4AfD//IcZ3cHtzVl4ET5Vqw/2z2x3jrJoibCCY9/D4fvv4PVMiRV2o3N6bNfQSNpyeGrKMs6p7BBxO1XHhzPFUakW6oKF51nDf/PuKQAlRBQaFt2JVRwltrHWtFqgSBmLoNOiuWaiOVW+tqZdqcsMwEBPyEelC9Y1VRTRFbcrYAcl1WAHNlJcasLCrc3Vj7188gSQycdAkDJ13sdE0noyRH3gh0hfpZCgoKzqd7sDdiE6VZViXnYjRbHA8oOA290czsL//lYF4FIb7u3N+3vqayBPToe177Da6OpmpoQX2Elqqi6ftX0Vc2aFkqK+k/8SKGXf4fAOLPG96sY3K4dzhPjXzKwaj1xJYnSCtLO30RCq7J0FvBPwoq82Dbe+09mnOGTmnQmjlzJq+++ipPPvkkgwYNIikpiT/++IOwMHlDOjMzk9zcXFv/0tJSZs+eTZ8+fbjkkksoLy9ny5YtJCQktJcEBQWFDka1Tq6Z129sJLOeP5+EUY7GJcOJE9QePEiFpzsAwdExrbqGNTrLPcYP0V2uKfRb2m8ATI+dfgajV3AmO35aRPDiIfT5Zw6BlUeolNyZ7/U8994yi/dvGEIXf8VwpaCg4HwEQSD8mafxHDQIS3k5WXfdjbnOC25o+FDGdR2HWTKzaNci22uGTuuOT4A75UV6dm3Sw/U/wcUvg8odjq6G90fCQTmtbUB4JBfOvgeAQ2tXsf+TF/nl6Xuw9JU9Ca9Gw+q/j/H8ygOKUUtBoY05nF/Bfz//l1qTRO9wX9smrijACzP6OTjJlK89gaQ34RbuRfgDAwj2e4lw9//iPfl8EOsf6f84/gdmyUy/oH5013YH5Ogsg0pkV3xXDHo93RL6M+Hm28+aVgBJkiipi9AK6qIYtBQUFByJ0HqycEZ/Wzp3q23ry20ZXPX+FtKLmo7AUTgzzBaJ+7/bw47jJfi6q/nqP13x3f+l7bgAsOoR0GW32xgBNB7NGLSC5O9LdWXT964qHzlNoqVSdqoIiYoBoKbi5JEmM3rM4M8r/+TTyZ/yy+W/0D+4P7paHbevvp3cytyTvlbhHEPtDhOfkP+/+U2oLm7f8ZwjdEqDFsA999xDRkYGtbW1bN++neHDh9uOrV+/ns8//9z2+xtvvGHrm5eXx8qVK0lMTGyHUTsiCALR0dEOuVw7O66qC1xXm6vqglNrq6kwkHOkDIDEi6KbjMwCqFj9Nxagss6gFRLVvVX5+hUwAAAgAElEQVTjqE83GAjAodJDHC07ikbUMCmm9SH8rjpn7akr7eghhux7GpVQf0PsiYEnrxnLuJ4hZ3x+Zc4UznVcea04Q5uo0dD17bdQh4djOH6c7AfnY8jOpmrbduZ2uxFREFl7Yi2783cD8sP9mJk9AdizOpOSvBoYfgfcsQHC+ssPVN9dC7/eD4Yquvbua3c9SZJYteJt3PppERF4DA++3HScR5clY7ZITtPVUXFVbYqujk12WQ2zPtmBrsZIYpQ/y+8axcaHx/PB1X3Y+PB4h/TFpuIaKrfKaZ+0l8SiPvQpHoaNqH3doP9Vdn1/TZPTDU6Lm2Zrqz5wgD3RYVSrRfxCwpj2wAJU6rNTtNw6ZzXlRmqrTQgC+Id5nfqFnQBXWY8KbY+rrpW20DVzaJQtnfuWRyfy/vWD0Xq6sTdLx9S3NvLTrqyz4nRzrsyZJEn8b0UKf+7PR6MS+WjWefRyK8CxwLgZSto3MskaoWWsNWOx1I9PHSIbtNyayUwp1hm0zBUVALa6keWFhae8Zrh3OEPDh9Jd2513L3iX7tru5Ffnc/vq2ynVl562ltZwrqzFTk+/qyC8P9SWI655lnhVDkJFTnuPyql0tDnrtAYtV0EURYKDgxFF15oKV9UFrqvNVXXBqbWlJRUiSRAS5YtfcPPRNxWrV1Pl7oYFcPPwRNuKItqS0ULtMdlo5l5XP+u3Y3J01rhu4/DT+LX4XFZcdc7aQ5fJbGHJtgzeX7LEzpgFoBIkdFmHnXIdZc4UznVcea04S5s6JIRu772L4OFB1caNHLtwEpk334zx8v/yYO5AAF7b9ZptQyd2UAgxA4KxmCU2fHtIbg/tA7PXwPn3AgLs+hw+GENp8nqH60kWC4YECdFXQxQqbsOd73ae4P7v9mA0W5Q564QoujouJVUGZn2ynbxyPfGhPnx601A8NSq6BHgzZXAsXQIco5d0f6aDWcK9hz8eFT/DmqflA5X5sPdbW7+0sjRSi1NRC2ou7n4xFcVFZKbsY+M/qyn29UItqrj8of/h5ac9O2Kpn7OyvBoAtKFeqN1UZ+36bYkrrEeFs4OrrpW20tUwnfvF/SNYdf8YhncPpMpg5sEf9jJ3aRLleqNTr9mYc2XO3vj7CN/uyEQQ4M1rBjEyLggC4+QaDA0RVBAY2w4jrsfds94Rw6ivj9JSB9bt39RaMOc7WrVE37oIrQo5QssvWN7DqSwpxmwyOfRvjgCPAD6a9BFhXmGkl6dz1993UWVs+6jBc2UtdnpEES58BgAhaQnaFTcgvjkAdn95ihd2HjranHWMUZzDmM1m9u/fj9lsPnXnToSr6gLX1eaquuDU2tL2yN45cYObj8AxFhRQs2ePrX5WcFQ0Qis+yGvTdUhGC6KvBrdwL8wWM78fl9NATYuddopXN42rztnZ1rX1WDHT3t7Ehz+vYx5fORw3SSLB0b2dci1lzhTOdVx5rThTm0dCAmELHpF/sXrJWiwM/WIXkdXu7Cvcx18Zf9n6j5nZA7VGJOdIGQe35smNane46DmY9TP4dYGSYwSsuZfGTnWCKOIf3YWAK+IBuFZwZ4Co4rd9udy5ZBfH8sv5Zs2/ZJW4XqofV12Piq6OSbXBxH8/38mxwioitB58+d9hBHjL95XNaavNLKdmXxEIoB3rDb/ObXBUkn+vSwNljc4a1WUU2Vv+ZfHdt/DD/z1Gmk5OfTN+7IWERLcuu8CZYtVVmC17xgdFuk66wc6+HhXOHq66Vs6Wrkh/T76ZPYL5F/VEJQr8nJTDJW9uZFdGKbm6GrYcKyJXV+PUa54Lc7ZkazpvrZHrOP7fZf24uH+E3EnbBaa/KRuxQP53+iK5vR1RuYmo1PL+S22DtIPVSQW2/xe8nUTVzjz71/lYa2jJ30Pe/gGo1GokyUJlSetSw4V7h/PRpI/wd/cnpTiFuevmYjAbTktPSzkX1qLLENLL/nfJYnef1tnpaHOmGLQ6AHq9/tSdOiGuqgtcV5ur6oLmtemrjGQdlMPF4xKbj7iqXLsWgJrobkB97uUWX9+WbjAAQRDYnredwppCtO5axnQZ06pz2Z3XRefsbOg6UVLNXV/v4trF26jMT2Op+3NECKXUaAIxS/LXo0kS2T3gKcK6xjntusqcKZzruPJacaY2TUwTG88WCzf7TQbgzd1vYjTLHsp+QZ4MnSb33/LTUfSVDTyXY8fBnM3Q9wp8VdVMCj+MQH0k6tBLr8Q3KBjPhCC8EkMRJFjkG4CvWmTNwQIueGMjj63OZ+wr61m6M9Np+joKrroeFV0dC6PZwpyvdpN0ogx/LzeW3DqMyEY1ORtrkyQJ3crjAHgNDkOjWw80nQbKIllYmbYSgMlB41n90dv2abkkia7DRjpbVovQ6/WU1tXPCnAhgxZ03vWocPZx1bVytnSpRIF7JvbghztH0i3Qk6zSGq76YAvnL1zLdYu3M+rFtU6/R3HlOVuVkseTv+wHYO6FPbhhRLR9p8GzYG4y3PSb/O/gWe0wUkc0nrKRzVAjb6ibdLWULjtS30GC0mVHMNXVRwcQfWWDlrkuQksQRXyDZEfm8qJ6Y1hLifWP5b0L3sNT7cm23G08tukxzJa23eB35bXoUjSVlrMDpOt0Jh1pzhSDloKCwjlNenIRFotEYKT3SXP6V/y1GoCqYLn+VfDpGrR6yekGrZsOU2Km4KZya+2wFU4DqwdfWmElr/11iAte38DvyXlECQX85vMCXSiEoHg879lM0ex/2T/pG4pn/8uwK+ee+uQKCgoKTkYTEy2nr2iIKDJ17G0EewZzouIESw8ttR0aeEE3grp4o68ysmX5UfvXeQbAVZ/BFR/SP7Sa2fE7iPGRi2HXlOts3fynxyL6uKHRGfiiZ1e7U1gkeGxZitO9oBUUXB2LReKhH/ay4XAhnm4qPr15KPGhvqd8nX5/MYaMcgQ3Ee1oX9jwsmOnujRQu/J3kVuVi4+bD32EGMcaM4JAVTum+ivJlQ1aQZE+7TYGBQWFzs/gqAB+v28MkxPCkKR6E79yj9IycnV6fjlUyQNLk5AkuH54FPdf0KPpztou0H1Mu0dmNUTjIacdNNRFaJmKahz8PJDq2utQWVMOVlba2vxC6gxaha03aAH0D+nPogmLUItq/kz/k4U7Fp6V2m4KzqWyVE/WoVIqS51kpOmg6TpdFcWgpaCgcE5zbLecbjA2sfl0g2adjqodOwDQmeSQ8tZEaNVmVmCqy+fsEe9PtbGa1Rmygex00w0qtI6lOzMZ9aLswTfxtQ28vfYoBpOFy6IMrAl6GX9jPgTFy15ofpGEdY2j76ipTo3MUlBQUGgNbuHhRDz7jJ1RK/Cmm/Dr1p27B90NwAf7PqDcIBumVCqRcdfJ6VEPbM4l50iZ/QkFAQZeA3M24xs3hGGB6QAc+mc1xtJcAEQvN1vqwZADZfRu9KhgliTSi5qpuq2goOCAJEk8//sBViTloBIF3rthMIOjAk79OrMF3R/pAPiMikD152yoyAXvkCbTQP16TE43eFHMRYR1jXEo2C1IENClm1O1tRRJkijNlT83AiNcK0JLQUHh7OPr4cZNo2Ic2s2SxO6M0rM/oE7C0p2ZjHllPV/sq8RogX6Rfjx7WT+H74uOjKaujpahroaWOtgTGg9fqGuvQ/SRDVrmupSDAL51dbROJ0LLyvmR57NwzEIEBJYeWsrLO19mR+4O8qryTv1ihXYndXMOXz62hZ/f2MOXj20hdXPOmZ+0Ll2nJDRwIOo5pUMZhV0JxaDVzoiiSHx8fIcpquYsXFUXuK42V9UFzWsz6E2cSC0BTpFucP16MJkQesRTUSbfJLc0QqtqZx6F7yXZfq/ZX8y6E+uoMdXQ1acrA0MGtk5MA1x1zpytK1dXw4JlyVgaOU29fZE/i/T/w60yB4J6wM0rwS/CKddsDmXOXIdjx4619xA6Ja68VtpCm/9VVxG/dg0+F0wE5PS3ltpaLo+/nDhtHLpaHR8nf2zrHxGnJWF0JAAbvj2E2WRxPGlANNy8kq7T7sVfo8dgkjj88qWQtgEAz77BeA4MQZDgMTxpHEOsbVCUu7PjqutR0dUxyNXV8NjyZD7ZJKcNfOWqAUzo1fT9ZmNtVdvzMBXVIPq44Wv8BNI3gsanPv1TgzRQepPezlHKNyiY4VfMrD+5JDE0tCu+QcFtK7gZXRHBURhrzYgqAW2Y56lf1EnoLOvxgw8+YNiwYUyaNIl58+bx2Wef8e+//7b3sM4pOstaaS3tqat7sDdiE3aYB7/fy1trjqA3nlkKOFebM+vzcMMgotTccgoqOk76sJZgM2jVRWipte4EzOhhZ9QSvNSofDS230VrDa2KBhFaVoNWYeEZjWdKzBQeH/44AF8d+Ipb/7qVyT9NZtmRZWd03oa42lq00p66Kkv1rPvqoO39IEmw/uuDzonUGjwL5u5DP+w++fdja6Dk+JmftwPQ0dZixxjFOYwgCGi12k7lFdESXFUXuK42V9UFzWvLSCnGbLKgDfEkqEvzHqPlq+VNAtOwoQD4Bofg4X3qlCkOOZ2RczqvT/0bgGlx087o7+2qc+ZMXSdKqpn3/V4aZwCIFvK46N9bEcqzILgn3Pwb+Iaf8fVOhTJnrsOdd95J9+7dGTlyJHfccQfvvvsuGzduRKfTnfrF5zCuvFbaSptbeDiRL76IOiQEQ0YGxR9+iFpU88CQBwD4OvVrcirrvQpHXhGHp68bJTlV7F1zoumTiiqEcQ/R94JLANif5w5fXgp/Pg6mWvwvjUP0diMWFXfhTiIqQup2C+7/LqnTbYA0h6uuR0VX+7N0ZybnL1zLtzvk9+DU/hHMGNy12f4NtVn0JsrXZADg16sAcdc7cqcrPoTQ3g5poNafWE+lsZII7wiGhA0BwM3DA4AgtYYJBzLoO+z8tpJ6UgRBwFghbzkEhHuhUrnO9kNnWY8vvfQSS5cu5cMPP2T8+PHk5OTw2muvtfewzik6y1ppLe2pK0LrycIZ/VHVXVsUICbIC73JwuurD3PBaxv4dW/OaaeBc7U5+ys13+F52CLR6aLu3RsZtAC8h4YTvmAYQbf0RfBQIVWZqEmuN1TZUg5W1Edo+YWceYSWlXHdxiE0sKhZJAvPbH3GaZFarrYWrbSnrgNbch1LklpAV+CclKWCtiseFz8L3ceCSQ+rHsbhDdgJ6Whr0XXuKDspZrOZPXv2YDa3bRHBs42r6gLX1eaquqB5bdZ0g3GDQ5r9ULZUV1O1aTMANVGy13tL0w02l9M594S8uXGm6QZddc6coatcb+TFVQe54PUNbD1WbHcsWsjjO81zuFfnQnAv2cv5LBizQJkzV2L16tUcP36c6dOnU1BQQHZ2Ns899xyBgYHEx8e3+nzvvvsuMTExeHh4MHz4cHbUpTltiv3793PllVcSEyOnlVq0aJFDn6effhpBEOx+evfu3epxORtXXittqU3l60vY//4HQNHij6k9epSxXccyNHwoBouBt/e8bevr4e3GqCvlNbjzt+OUFzX/cJYw7UYQBE5U+1Nm8ICt78Diiagqj+B/uZxy9T+48zbeLBN8uc7DiyMFlVzz0Tbyyzu/UctV16Oiq33J1dWw4Kdku1vAP1LyTlrbpaG2ivVZWKpMqP0FvA/cIXcY9wj0afq+8be03wD5vlKsq92QsW8PAJG6KjyNZtx79jpzYaeB2Wwm+V/ZucvV0g12lvU4cOBAwsLCiI2N5dJLL+Xxxx/n22+/be9hnVN0lrXSWtpb18yhUWxaMIFvZ49g84KJrJs/nrevTaSLvyfZZTXc++0erv5wK8lZsrOZtZ5yS+pstbc2Z7LlaBELfz/g0K4SBGKCm68h3hHReMqp3GobGLQABB81B6sz8K7LUlC+7gRSXXoW0VeO0DJXOUZoVTjBoJVZnonUaNPHIlk4UdGMU1krcaW12JD20GWxSGxdcYwdvzYRMSWANtQ5UeRms5k9SUmYp7wMohsc+QsOrnTKuduTjrYWT9ugNXfuXD777DN27dpFbW2tM8d0zmGxNJEOxgVwVV3gutpcVRc4ajMZzGTslw0dsSdLN7hpE5Jej1vXrpQZ5M27kOjuLbqm1ESqA0mQyHbLZ0DwAKL9ols6/GZx1Tk7XV0ms4WvtmUw4ZX1fLDhGAaThfPjgrjvgnj5pl3I5TvNc0QIJbIx6+bfwDfMyaM/OcqcuRbff/89y5cv54UXXuDPP/9k1apVjBo1qlXnWLp0KfPmzeOpp55i9+7dDBw4kMmTJ1NQ0PRDVnV1NbGxsbz44ouEhzdvjO3bty+5ubm2n02bNrVqXG2FK6+VttTme9EkfMaPB6OR3KeeBkniwfMeBOQN7QPF9ZsVPYeH06WnPyajhX+WHm7WQ9kvOISYAYkA7O86B7yCIT8FPhqPpmiFXV9Bgjm1avr7eZJWWMXMD7eSU9b5i6+76npUdLUfy3dnO/gztaT+nMViwVxWS8WmbAC00jsIlmroeTGMW9Dka0r0JWzOlh2vrI5Sxlo92Qf3AxBwQq6P596r5+nKOWOqi+WNx8DIU2c36Gx0hvX4+OOPM3XqVJYvX05OjhNqhCicFp1hrZwO7a0rQuvJyLggIrSeCILA9IGRrHlwHPMm9cTTTcXO9FIufXcTV72/xVZPedSLa1m6M/OU525vbc5gdWo+N3++E73RQnyojy1NoyjACzP6EaHtXGlgNR7WCC3HfRaLxYL3iAgEdxWm/Gr0B+XSEtYaWnYpB20RWoVIZzjPUX5RNmcSK6Ig0s3XeXUrXWEtNsXZ1FVTYeDXt5LY/YccAd+1dwANp00QoDTfeRGLFotFzgR0/r1ywx8LwFDltPO3Fx1pLZ62QWvixIlkZ2fz0ksvMXjwYPr168fMmTN5/vnn+fXXX505RgUFBQWnk5lagqnWjE+gO6HRvs32q1gtpwf0vfBCCjPTgZbVzzKV6in90T7dIAJ8H7eWIrcypsWdWXSWgozV0y6nrJp1Bwu4+M2N/G9FCsVVBmJDvPl41nl8fdtw5k3qxdY7ovjL/2XZmBXSWzZm+TRvzFRQaAkeHh6kpqbafr/oootISUlp1Tlef/11Zs+ezS233EJCQgIffPABXl5efPrpp032Hzp0KK+88grXXHMN7u7uzZ5XrVYTHh5u+wkOPvv1UxSchyAIhD/5BIKXFzW7dlH244/0DerLJd3ltIGv7XrNZrgSBIFx1/VCVAlkJBeTltR8jYC+4y8EYH9KBpY7N0OPi8Bci2ntF45jkOC9S/rSLdCT9OJqZn60lRMlnStdjYJCW7L5aBFv/H3Yob2lnvAVf2eCyYLGMxMP/Sq5xueMj6CZegWrjq/CJJlICEog1j8WgOwD+zGbTHj7+uFda0QdFoY6IODMhJ0B1aXyxmNgpGtFaHUWZs2aRUJCAn///TfXXHMNsbGxjB8/vr2HpaDQZni4qbjvgh6snT+OywdFIknwb0aprZ6yRYLHlqW0KFKrM/NzUjZ3frULg8nCRQlh/HbvaP55aDzPjAvgn4fGM3NoVHsPsdXYamjpTU0eFz3V+IyQa2JXrDuBJEmorAatykqb8co3KAgEAbPRSHX5maWLD/cO56mRT9mlHXxq5FOEe5+dDDAKpyb/eDnfv7CTrIOlqN1VXHRrXy6bm8is58/n0rmDiO4XiGSBVe8nU5BR7tyLj30ItFGgOwH/vOLcc5/jtLiqc2pqKt9++y0PPvgg/v7+XHrppVx66aW243q9npSUFPbt28fatWuZPn16mwxYQUFBwRmk7alLNzgotNl0g5LBQOX69QD4TLqAordeAk6dctBSY6Los/1YKo24hXsTeG0vzJVGctwK+XzdT6gFNZNjJjtNy7nK0p2ZPLos2fZwYiXAy40HJvXk2mFRuFlrNRQdJfTHK6EmH0L6wE2/gk/I2R+0gsvxySefMHPmTMaPH8+gQYNITk5uVV5pg8HArl27ePTRR21toihy4YUXsnXr1jMa25EjR4iMjMTDw4ORI0eycOFCoqKaf3itra21i7ovL5dv6M1msy21gCAIiKKIxWKxi/qxtjdOQdC43fqv9bWN+1uLzDb2/mquXaVSIUlSk+2Nx9hc+5lqsnI2NKnCwwm+5x4KX36Zgldfw2vsOO4bfB+rM1azPXc7H+/7mKndpxLuE05AuDeJF0Wxa1UGG5ceJrKnFndPN4exd08ciru3DxXFhaQfyyJ65rcIuz5F/ecbYLRg5/8mQFiUL9/NHsH1H28nvbiaqz/cyte3DiM6yKtTzJMoigiCYLeuzWZzp157DTVZ9YC8JpsaY2fU1FhXS99nZ1PTvxml3PbFvxjNEgkRfhzMK8ciyZ7wz13el3A/DzsdDccuSRLqUgs1dcZnf/Mb4OmHdM03WNy8ocFrGmr69ZjsSDq1+1Sb/uPWdIP+wQiAe+9eZ3WerO0ARqOJmjL5b+8f5mm7Vmdbew01Wcd4qvfZ6WpyNv7+/rz77rt2bVlZWU6/joJCRyNC68miaxJJjA7gqZ/32x0zSxJrDhRww4gzz5jSEflqWwZP/JyCJMGMxC68fNUA1CqRCK0H/ULdidB6tPcQTwtNEzW0GuMzugsVm3MwnKigNk2Hpkud87IkYamuRuXjg0rthk9AIJUlxZQXFuDtf2ZOHzN6zKB3QG9mrpwJwAVRF5zR+RScgyRJ7N+Yw8alh7GYJfzDvJhyRz+C6iLGfQI88AnwIDLOn9/e3UvWwVJ+fXsvM+YPJiDcSU44Gi+4+EX47jrY8g4MvBZC2icNtKvRYoPWwoULqaysxN/f3+FYbW0t6enpnHfeeZx33nlOHaCrI4oiCQkJthtkV8FVdYHranNVXeCozWyycHxfEQCxg5s3alRt34GlogJVSDCGyEiM+hpUajUBEV2afY1kslD8VSqmgmpEPw1Bt/RFrXXHLQx+2/0lAKO6jCLQI9DpulyFlujK1dU0acy6bngUj0zpjdbTrb6x6Ah8Pg0q8yA0AWb90m7GrHN5zjo7jR17rPTt25ddu3axYsUKkpOTiY6O5vHHH2/xeYuKijCbzYSF2ae+DAsL4+DBg6c93uHDh/P555/Tq1cvcnNzeeaZZxgzZgwpKSn4+jYdlbpw4UKeeeYZh/Z9+/bhU+fdGBQURExMDJmZmRQX19eni4iIIDIykrS0NJshDCA6Oprg4GAOHjyIXl9fc6mqqgqtVsu+ffvsNvASEhLQaDQkJSXZjWHQoEEYDAa7aDhRFElMTKS8vJyjR4/a2j08POjbty8lJSVkZGTY2v38/OjRowd5eXnk5uba2p2lKT4+noSEBPbv39+2mvr1xSMmBtLTOf7kE/T+6CMG+A9gV8ku3kp6i7eT3uaenvdw+8jbCUkQcN8sUlVm4PfPdjJyRmyTmmKGDOfQP2vY+utySi0CqIfgMfZ5onYsQ1dyBSDXLLC4QcrhVPoM7Ms3tw3jqvc2kqPTc9V7m3h6fCBTx5zXKeap8dpLTk7u9GuvqfeTwWDA3d3dpTTFxspRSB1N0+70Yp7eUEKNSWJEjJYvbhvJtt0ppBdXEeGjJkhdRHm5f7Ofe2q1Gp99BpDAU1yPRjyC+fJvMPh0I7WB1oaaNu7fyP7i/YiIxBvlunklJSUc2iE7Q3iUyn9nj569zvo8Wd9P/27Zi2QGUQVpWQdJDE3stGuvuc8IkJ17naEpPz/f4dxnivV+4Oabb7a1de3a1enXUWgeV71P7iy6LkoI45lf9js8N/5vRQrL92Tz31Hdmdw3DLWqXkdn0dYU768/xkt/yM8QN46I5plL+yLW5RrszLoA3JsxaDXUJfiq8B4aRtXWXCrWnSD41n7g5gZGo7y3U/dM4xccKhu0igqI6HHmBoaE4AS6a7tzXHecf/P/dZpRq7PPWXO0tS6jwcyGbw5xaFseALGJIVwwq4/NKNoQlZvIxXf2Z8XreyjMrOCXt5K48qHz8AloPhPKyXDQ1usS6DkFDv8BKx+Unatb4QDbUehoa1GQmkuq34gePXrw0UcfMWHChCaPjxkzhksuucTOw9iVKC8vR6vVotPp8PPzc9p5rV5bVk8wV8FVdYHranNVXeCoLWN/Mb+9vRcvPw03vzgKQWxab+5TT1O2dCn+M2dSOW0yv7z6PKExcdz40pvNXqf0xyNU78pH0KgIuXMAmjrvD4tk4eKfLianKodXxr3ClJgpTtflKpxKl67GyJMrUvh5r2MdgG9nj2BkXFB9Q+Fh+GIaVOZDaF+46Rfwbr+0a+fqnJ0ubfXdezrceOONVFZWsnz5codjtbW1HD9+nN69e7f6vDk5OXTp0oUtW7YwcuRIW/vDDz/Mhg0b2L59+0lfHxMTw9y5c5k7d+5J+5WVlREdHc3rr7/Orbfe2mSfpiK0unXrRklJie3vf6Ye8Na1olarm/WMh84ZJSMIgs1Tv+H7oC006VNTyZx5DVgs+Lz9EtNynsBCfX9REPnzyj8J9Qwlc38xK99NRhDgygVDCIvWOoy9ID2Nbx57AJWbG7Pf/RyPuod9UTJhXvU6hh1/U2acg4UwPHsKBN4i14nL19Vw46c7OVJQSYiPO4tmDkQQBKICPe28fzvSPDWMvmj42aVSqZw+T+2hCezfZ4IguIQmqy7rscZjaU9N+7PLuO7jHehqjAzvHsCnNw3F28OtVZE/VbvyKfvxCGAkXHMH4oRbEcY/clJNb+1+i49TPmZ05GjemfgOKpWKipJiPppzEwBT8Ubau4/I117F9+KL2yWa6ejufP5anEpwNx+uWjCk0669hpqsYzzV++x0NJWVlREQEODU+57LLruM5ORkQE5ZPGDAAAYMGKBk1GkCZc+ndXQmXUt3ZvLYshTMkoQowKBu/iRn6zCa5fdhpNaDWefHcM3Qbvh7acgpqyatsJLYEB8i/U+dLrYjIEkSr/x5iPfWHwPgrvFxPDS5l93cdKY5a4qjuwr4c3EKEfFaZswfYmtvrMtUqifvlX/BInRUm7IAACAASURBVBF69yDSr56MubSU2F9/wb1HDwBWvvUKBzdvYOz1tzD00iudMr7ntj3H0kNLub7P9SwY1nTty9bS2eesOdpKV2WpnuzDpfy7KoOyvGoEAUZcEUfipKhTXqemwsCyV3dTll9NQIQ3M+YPxsPb7aSvaYomtZWmw7vDwaSHKz+B/ledhrr2paPt+bTYrJaVlUV8fHyzx++8805++eWXFl9YQcZisZCUlNShCqs5A1fVBa6rzVV1gaO2tN0FAMQOCmnWmCWZzVSsWQOA76RJFGWkAxASHdPsdSrWnqB6Vz6IEHh9b5sxC2B3/m5yqnLwcfNhfNfxZy4K152z5nTVmsx8vDGNca+sa9KY5VCfooMZs+DcmzNXYtu2bdx3331NHnN3d2f27NksXLiw1ecNDg5GpVI5eGXn5+cTHu683Ov+/v707NnTzlO8Me7u7vj5+dn9QF2qu7of64ae1QDQuL1hW1PtgiCQnJxs28hr3F8QBARBaHE70Gx74zE2136mmqw/kiSRlJTkMJ620OTdvz+BN94IQPnzr+BmsN94tUgWTlScQBRFYvqHEH9eKJIE/3xzGItFcjh3eGw8IVExmI1GjmzbVD9GtTvCJQ9zYvT1BAZ8AZipOSxRs/RjBIuZcH8vvrt9BL3DfSmsrOX6T3Zw3cfbGfvKen7cnd0h58n6ANZwPVrnorOuvYaaGr/PXEWTtW3v3r1yTYwOouloQSWzPt2JrsZIYpQ/n9w8DG8PtxZrUqlUVO3IqzNmAaipDZuFOO7hk2qSkPj9+O8AXBp/qa09a/8+AEJjYuGI/Hnv0avXWZ2nhvNRmivX2AuM9O7Ua6+psZ/qfXa6mk6X1NRUnnjiCcrKyuzaf/75Z9LS0ti3bx/z5s0jLCyMNXXPOApnB1e9T+5MumYOjWLTggl8O3sEmxdMZNldo9i8YCL3XdCDIG8NOTo9L646yMiFa5n54VZGv7SOGz7ZyeiX1rF0Z2Z7D/+k5Opq2HykiPk/7LUZsx6Z0puHp/R22HTuTHPWFBoP+bPSoG9039tIlzrAA69BckaW8nUnEOuyU5grKm2v8QuuO15U4LTxDQ0fCsCOvB1OO2dnn7PmaAtdqZtz+OKxLfz92QHK8qpxc1dx6dxEBl8U3SIDjKevhun3DcRbq6E0t4qV7+7FWGs+5esa06S2gBgYM1/+/5+Pgf7Mare1Bx1tLbb4jikwMNAupL8xw4YNO+kmiYKCgkJHwGK2kLb31OkGa5KSMBcVIfr54T1sKIWZxwEIbqZ+VtWeAspXy6lD/C+Lx7OXfUrB39J+A2BS9CQ81J0zZ3V7YbFILN+TxcRXN/DcygOUVRuJD/Vh1shoVHX3JSpB4IUZ/YjQesoNhYfg86myMSusnxzW3c7GLIXOTVs59mg0GoYMGWK3uWSxWFizZo1dxNaZUllZybFjx4iIiHDaORXal5D77kUdGYGYV8R/NjsmXMiprDf8j/5PDzQeKgoyKkjdmO3QVxAE+k2YBEDK+tUOxyuDB+J2zxf4Rsg1KEqTumBe/B8oSSPIx51FMwfZ9T9XCq4rnNtkFFdx/cfbKK4y0DfSj89vGYaPe4sz+gNg0tVStrzhM7RAadZ4TBXGk77O6ijl7ebNhG71GVTS6+pndY2JQ6quRtBo0MTEtGpMzqQktwqAgIjOEeHQmVm4cCEpKSnNlojIyspi+PDh3HbbbSxatKgdRqig0L5EaD0ZGRdke14M9fVg3qSebF4wkVeuGkCfCD9qjGa2Hy+xpSe0SPDosmRyyqrbceTNs3RnJqNeXMv1n2znp93y/d3/Xd6POePj2nlkbUNLamhZ8R3fDQTQpxajCpRrCFsqK2zH/UJCASgvdL5B60jpEUr0JU47r8KpqSzVs+6rg9DgkchkMOMf6tmq8/gFeTL9/kG4e6nJSyvnj49SMJudZMAZdR8Exsl7VOta7wirYE+LDVpjx47l888/b/5EomiXe1pBQUGhI5JzVIe+0oi7t5rIHo4PfFYqVv8NgM/4cQgaDUWZsrEqJKq7Q1/9sTJKfzws9x/XFZ/h9hvGmeWZ/J4me9FOi53mFB2uTK5OT3JBLTllNWw4XMjUtzfxwNK9ZJfVEObnzktX9ueP+8fw7GX92LRgIt/OHsGmBROYOVS+UaXgoGzMqiqAsP51xqygk19UQeEUtKVjz7x581i8eDFffPEFBw4cYM6cOVRVVXHLLbcAMGvWLLuUzgaDgaSkJJKSkjAYDGRnZ5OUlGR3/fnz57NhwwbS09PZsmULV1xxBSqVimuvvfa0xqjQ8RC9vQl/4gkApu+AmLrncQHZ0v/89udJLpTTTHlr3Rlxuby5sXVFGlW6Wofz9R49HlGlJj/tKIUZxx0v6KHF7545uAUakfClJHMC0vtjYc9XlFQ5ns8sSaQXdcwNIAWFMyW7rIbrFm8nv7yWnmE+LLl1uH39zhZiKqhybJTAVHRyY3BTjlKSJJGRLNd3CneXi5m7x8cjqFtnZHMmtgitCCcVV1dolraKJFdQcHU83FT857xu/H7faJ6Y1sfhuEWC6W9v4okVKaw/VECtqT5iI1dXw5ZjRe3iwJNRXMWCn+xrSgsCXNgn9KyP5WzRGoOWW6gXngnyHoAqVHYSNFc0MGgF1xm0igqdNr5Aj0B6BMgpDXfm7XTaeRVOTVletZ0xC0CSQFfQ+vdmUKQPU+8eiNpNJHN/MWu/OEBFcQ1Zh0qpLD0Du4faHS55Rf7/jg8hd9/pn0uh5Qat+fPns3jxYj766KMmj2/dutVWpFdBQUGho2JNN9h9YAgqVdMfgZIkUbFa9lD3nTQJY62e0jzZ0z04Ktqur7GgmuIlB8As4dk/GO3kGLvjy44sY9ryadSY5S/SzIqOnbKgvVm6M5Oxr6zn6Q2ljHllAzd9uoMDueX4uqt5eEov1s+XDVfWor2NPe0oOCCnGawqhPD+cppBr8CTXFFBoWW0pWPPzJkzefXVV3nyyScZNGgQSUlJ/PHHH4SFhQGQmZlpZ0zLyckhMTGRxMREcnNzefXVV0lMTOS2226z9cnKyuLaa6+lV69eXH311QQFBbFt2zZCQpqPTFXofPhOmIDv5MkIFguvbozmi6AH+W3UF5wfeT41phruXnM3GeWyQ0bfsV0IjfbFUGNi/TeHHB7KvPy0xJ03DICU9X83eT1BJRJ4ywgEtUCtJZHKmgnw890kbrufQKGCcIoZKe4nnGJ5fB7tt5GuoNAW5Opq+H1fDjM/2EJ2WQ3dg7356tbhBHprTut8xh3rHRsFUAc371Fca67lr/S/AJgeW18HqTgrk6rSEtRuGgLK5bRK7qdR29FZmE0WeYMJOeWgQtuilIhQUDgzBEHgkv4RNFWRoLjKyJJtGdz82U4GP7uaOV/t4qEf9zLqxbVct3g7o15ce1ZSE0qSxN4TZTz5cwqXvLWx8f49koRLOxO5Ww1aerNDHcKm8J3QDQDBMw7BKwhLw5SDbRChBTAsXL6XVgxaZ5einEqHNkEEbSsjtKxExGmZfHs/RFHg8I58vnx8Kz+/sYcvH9tC6mbH8hctJv4CSLgcJAusfBA6SPq+zkiLnzKHDBnCe++9x5w5c/jhhx+4++67GTx4MD4+PmzcuJFHHnmkWY8gheYRRZFBgwadUb7sjoir6gLX1eaquqBem4DAsSTZAycusflN3dqDBzFmZyN4eOAzejQFJzJBkvDS+uPtHwDIKWIMmeWU/ZaGpDehifYj8OqedjW58qryeGbrM0gNbjX/b9v/MbrLaMK9z7w2jqvNWa6uhkeX2XuZAVwztBuPTOlNwKk2i/JT4YvpUF0E4QNg1s8dzpjlanNmxVV1NWT+/PmMGDGCQYMGcfvttzscP1PHnnvuuYd77rmnyWPr16+3+z0mJuaUD3HffffdaY+lLXHltdJe2sIee4zK9euxHD6G5/yXqBJFnn3qMe4LKiO1OJU7Vt/BV5d8RbBnMOOv7833L+wkfW8R6XuLEAQYf0NvEkZFAtBvwiSObN/CgY3rGHv9zajUbg663EK80E6LpWzFMXSW2/AgBc+jK9nmvQG1sQpRkDBLAo+abuOhH/347vYRpxW5cjZw1fWo6Goblu7MtLtP8fd04+vbhhPqd3qppKXj26hMsXr6S4AAAgTM6IFa697s69afWE+FsYJw73DOCz/P1p6xT47O6tKnL0Zb/ayepzU2Z1BWUI3FIuHmocIv6PQ2lDoy7b0eG2ONJO/WrVuTx5USEe1HR1srzsIVdUVoPVk4oz+PLUvGLIFKgGcu60ekvwerUwtYcyCfgopaVqXk2b3OIsGCZckEeLkxMi4YXw/H+55cXQ3Hi6roHuxd74zZDI375pfrWb4nmx93ZXG0wHHj3opDTelGdPY5s0ZoSRYJY60ZTZ3jVHO6NF19ce/hT+2RMjTxk7FUNayhJRu0DDXV6Ksq8fD2wRkMCx/G1we+Znvudqecr7PPWXM4U5ehxsTuP+sMygIgycas8df3xifg9Mt9xPQP5vyr4tn0/RFbmyTB+q8PEpUQ2Oy5T6ltykI4+jdk7YC/n4Thc0Db5bTHebboaGuxVW6Ts2fPpk+fPsybN48ZM2bYiqpJksRFF13EAw880CaDdHUMBgMeHq5XU8dVdYHranNVXSBrK82upVpnQOOholvv5g0d1ugsnzGjET09KcxMB+rrZ1XtzKN02RFbSLPorSZoVgKCm8ruPJnlmVgke48Li2ThRMUJpxi0rLpcYc6ySqt5fLmjMQvgskFdWmfMihgIN67ocMYsK64yZ41xVV1WFMce5+HKa6VdtEkWJIOh/neLhZJnXuCt33/g5l0PklWZxV1/38VnUz7D09d+g6XxQ1nMgMF4BwRSVVpC2q6d9Bh+PuCoy3t4BPoDJegPlVLi8w6h6vvRlB0BW11DiYVunzAqdwD//VzFkluH4aXpmNFarroeFV3OpSmnm3K9kRbUGG+a8lyqv16MWboZUV1N8L2j0JdU4RWhRe1/cn2/HZPTDU7tPhVRqN9UyEiW62dFD0ikdt37ALj3ar8IrZIcOZ2if5hni4qxd0Y60vvMGkk+bNiwJo8rJSLal460VpyJK+qaOTSKMT2COZJbRo8IfyL9ZQPRxN5hWCz9SMnR8dnm4yzfYx+lIUlw+5LdAHTx96RnmA89w33pFeZLelEV76w7ikUCUYCFM/rXp8tvREPnCQHoEebD0YJK2/ePu1pkct9wrhrSleyyGv63PAWzJDnWlG6Gzjxnao2IIAqyQUtfb9CC5nX5TehG4ZEy3KJHYSpLtbW7eXjg6etHTUU55YUFTjNoDQkbgoBAenk6BdUFhHqdeQrIzjxnJ8NZunauPE5NuQFtqCfT7xlIZWkt2lDPMzJmWQnq4rguJIucyvBk5z+pNr9IiL8QUlfAlrdh67sw/U0YPOuMx9vWdKS12Gqz2ujRo9mxYwepqaksWbKEDz/8kC1btvDHH3+g0ZxeqoVzGYvFQmpqKhYXCzN0VV3gutpcVRfUaztWl24wun8wKrfmP/4aphsEKMyUa4mERMVg0tXaGbMALNUmJJPj301n0Dm0iYJIN9+mPSdbiyvMWUGFnqd+TmHCq+vZcLjI4fipvMzQZcPuL+GzizuFMcsV5qwpXFVXY2bPns369evR6XTMmDGD7t27ExISwhVXXEH//v0Vx54W4Mprpb20GdIz5F0U+8Hgk1/JB5M+IMA9gAMlB3hw/YMU51U4vN76UAYgqlT0HTsRgJT1q+tO5ahLEAQCruqJ6K3GWGRBF/KKw3lVWEjwKGJXRil3frUbQxPfk+2Nq65HRZfzScosc3C6sZxuaidTLdJ3N1FeeTEAvhf0QBXsyZHqLATfk0czluhL2JS9CYDpcfXpBk1GIydS5Zp53eJ7YczKAsC9HSO0rAYtPGpdbi1Cx3ufKSUiOi4dba04C1fVBRDm645PdS5hvvbRsqIoMKCrPw9P6d1kasIQH7l/dlkN6w4V8uGGNOZ9v5e31h61fYdYJHjkp2TGvbyWSa9vYPIb/zBl0T9c8uZGJi/awCMN6mJJwOF82Zh1XnQAL87oz87/Xchb1yYytmcI1w6LYtOCCY41pZuhs8+ZIAhoPGQn4toGdbROpkvTXYvgVomgcsNUZr9HYEs76MQ6Wlp3Lb0DZWcSZ6Qd7Oxz1hzO0lWSW8W+tfI9z5ire6IN9aJLrwCnGLMA/EM9HZyXTpXK8JTadNlwoEEKYMkCv86V2zswHW0tnrarZO/evendjjm5FRQUFFqDJEmkWdMNDj5JusHjx6k9chTUanzGjQOgKCMdgJDo7nKRbodk1XLx7obpYXIqc3hu23N23URB5KmRTzktOqszU1Zt4IMNaXy+5Th6o/yFeH5cEIO6+fPBhmM277WTepnt/hJ+vV++AQDQdpPTDHoGnCUVCuciVseegwcPsnv3bqqrq+nXrx8jRoxo76EpnKNoYqJBFO1zsIsimugoov3CefeCd7n1r1vZnLOZjy3vEyGMtrd/CfYPZX3HT2LHzz9yfM8uKkuK8dT6N3ldla+GgBk9KV6SSmWyGk9Nf9zF5AbnVTH3P5PZ+u0J/jlcyANLk3jr2kRUTe0AKSh0YPJ0ehauOuDQfkqnm6aQJFj5IFWZ/pgJQ/QW8R4V7XBr2Rx/HP8Dk2SiT2Af4vzjbO25hw9gqq3FS+uPb3UNpYA6LAx1QPvdE5XkygYtrwDVKXoqOAMlklxB4exRn5rQPjpq5tAodNVGDhdUcChP/tmZXsLBJhyKMkpqWny9N64eyBWDuzY7llNFZbkSGk81tdUmDA0MWidDEATcQnQYcnyQDBFYqo2IXrLziF9wKPlpR51eR2t4xHAOlBxgR94OpsZOdeq5FeqRJIlN3x/GYpGIGRBMdL8gp1/DJ8CD8Tf0Zt2SgwByuvYzTGVIybH6PSwr0v+zd97xUdT5/3/ObMmmbnqDFELvTZoFAVEU4U6xgHi2O9t56unp3emdd/zQ+4r1bGdvp54FUVRQpAgCCgiRGkoCJCGhpJJets78/pjsJpvdVDYkGef5ePAAZj5TXvl8JvOZz7s5oSynV6Qe7Cn0zNwfGhoaGn6mtlSipsyK3iiSPLzlF131d98BEDxpEjqzGVmWPVIOir4K3Dcr3l1nr+PeDfdSZiljaORQnrrwKUrqSkgKTfrFGrNcecBjQ018m1HAG5tzqLYqk9CxyeH8+ZLBnDsgGoCFE5NYv30vF00aTd/IFoqIH0+HFffiYV2sOgW2Os2gpXFW0Bx7NHoKhvh4Eh5dTME/F7mNWmGXXoohXnnfjIwZyTMXPsO9G+7ly8Jl3Hp+CoYtSe7vKL1B55EOLDKxD4mDh3Eq6yAHf/ie8XOubPHagcOjCJ4QT216IWX6x4iTbkSkStk5YCajhg3ntRtiufW9dL7JKCDUpGfJvJGqTT+moT5OlNex8M3t5JfVYw7UU21xIMm0O7WTFz+/jbzrY6qdShRN6PRURKMOp9PZ+nENfJ2jpBtsGp0FkJeh1M9KHjEaa9ZhAAKGDO7YvfkZV4RWUKRm0Dpb9IQSEWVlZdxzzz2sXLkSURS56qqreOGFFwgJaTmdl8Vi4YEHHuCTTz7BarUya9YsXnnlFeLi4txtfL03Pv74YxYsWOD+/8aNG/nTn/7EgQMHSEpK4pFHHuHmm2/2qz4NDRfzJyQzdVAMx0rrSI0Ocr8PzEEGJqRGMiFViQYqqKznvCc2eET5igK8dN1YIoKNyDJIsowsQ2mNlQeW7fVwPNIJApP7+3+hvrfiqqPVXoMWgD5WpP7QcXTmJGq2niJsZgoAYTGKo3NVSZFf73FC/AT+e+C/7CjY4dfzaniSu6eU44fK0elFzr9mQJddZ9h5ieTuU+oPj74oyV17uNNE9lfCvJobtUzmMzvvL4yeUcnrF05PKajmb9SqC9SrTa26AMqPKROelOFRGIy+P6zthYVUfPEl0JhusLa8DEtNNYIoEtUnieqNJzwPala8W5Zl/rHlH2SVZxFpiuSF6S+QGpbKhPgJXWLM6g19tjQ9n/Oe2MDCN7cz89+beHbdYaqtDobEh/LWjeew/Pfnuo1ZAAlmE6PiA0kw+/B6qSmGb/8K716KV6icy6ulh9Mb+qwzqFWXhv9R81jpLm3hV1/NgA3ribjpJgDq9+9HbrJAPrXvVBZNWQTAW45nCLu5mLn3jiYiIQiHzcm6dw8iNVlpGTF9JgD7N36HLMut6jLPSUMXZcJZp6ei/wqY/jdlR873UHqUCwfF8MKCsYgCfJJ+nCdWZ/pb/hmh1vGo6TpzjpXWMv/1n8gvqyM5Moiv77mALQ/NaHdqJy/ytsK3f6XWeTFOORYx1EjIpMa5YVvacitzySjNQCfouKzfZZ6n3qfUz0odPc5t0DIN6j6DlsPupLJYSccYHKleH9qe+Jx1d4mI66+/ngMHDrBu3Tq+/vprNm/ezO23397qMffffz8rV65k2bJlbNq0iVOnTjFv3jyvdu+++y4FBQXuP1dccYV7X25uLpdffjnTp09nz5493Hfffdx6662sWbPG7xo7Q08cK/5ArbqgfdoSzIFM6R/VqnODK5pL12CU1QkCS+aN5PJRiZzbP5rzBkRzwcAYpg6KYd64vjzRrG2nnCdaobf3ma+Ug9C6Ln1YCLbD3wJQ/eNJ6jPLcFRaCYt2pRz0b4TW+Ljx6AQdJ2pOcKrmVNsHtEFv77OWOBNdDpuTH5cdAWDsJcmYYzoYMd9BkocqBurTJ2va1b5VbeY+Ss0sodm65KYnvdPI9zB60lhU7+yyl6DT6Rg7dmx334bfUasuUK82teoC5ZdubYHyizethXSDFZ995uHdLtUrH+Gu6KyIhD7YD1dRv7cERIi6cRiCQYc+OtAj1eAb+95gbd5a9KKe56Y9R0JIQpfp6g19lne6loc+z/BKpbP418O5YVIKoo/UUz511ZfDlhdh+2tgb6FehaCDyJ5dG6A39FlnUKsuDf+j5rHS3doM8fHE/vFeKr/4Ant+PjWbNhM6Y7p7/5UDr6S4rpj/7PkPTx16nNgLI7nsjvP49PF0TmaVs3ttHuMvTQVg8OTz2fDu65SfOkFR9pFWdYkBOiLnD6bktb3UHajBNOoWggakw9F18O2f4TfLmT0ygSXzRvLXzzN4fVMO5kADd03rOk/K9tLdfdZVaLrOnKPFNSx88yeKq62kRQfz0W2TiW9wtOnUwmLlSfj0RmQnVAuK4TlsWl8Eg7KY0R5truisKYlTiA5sdASqr6mmMOcoAMkjR3P6lTeB7o3QKi+sQ5YhIFjPxPPGqTIqs6c/Z90RSX7o0CFWr15Neno655xzDgAvvfQSs2fP5plnniEx0durvbKykrfffpuPPvqIGTOUGo7vvvsuQ4cO5aeffvJI6RweHk58vG8Hwddee41+/frx7LPPAjB06FB+/PFHnnvuOWbNmuVvqR2ip4+VzqJWXeB/bS1Fc51p246ihj4LaIjQslsaHbfa0iWGhOA4uRN5bC1Ygjn93wMgQPhY5V1aVeK/GloAwYZghkcPZ1/JPnYU7uCKAVe0fVALqKHPfHGmunatyaO6zEJIRADjLk3x4535Jr6/Ej1VmFuFJMk+17FctEvbuBuh/0WKQ7bDCh/Ph8yvYd+nMHq+P2/db/S0sdhzTGu/UGRZprKyErmHW2E7ilp1gXq1qVUXKClPKorqEPUCqSOivfbbCws9jFkAxU8/g72wkJK8XADi+w6g/EtlsSB0ahKBQ6Iw9Q/3MGZtyN/Af/b8B4BHJj3CuLhxXSmrR/eZzSHx0fZ85r2yxWddiEGxoS1OAjx0WWtg89Pw/Gj48d+KMStxHNzwJcx9sdGrRdDB3Od7fM7hntxnZ4JadWn4HzWPlZ6gTQwKIvyaqwEo++B9r/23j7qdawddi4zMwz88TDaHmLpgEAA7VuRSmFsJgDEwiMGTLwBg//dr29QVkBxG6HQlWqX8i2wc5z8OOiNkb3AXPZ4/IZm/zx4KwFOrs3j5+6NszS6loLL9NST8TU/os65A03VmZBZWseCNbRRXWxkUF8IndzQaszqF3QJLfwO1JdQG34LTHoIuzEjwxEanp7a0SbLENznfADA3zTPd4PH9e0GWieqbTEh4JJYjiseyaXD3GbRc6QYjE4KpqqpS3VgE9T5nZ8K2bdsIDw93G7MAZs6ciSiKbN++3ecxO3fuxG63M3PmTPe2IUOGkJyczLZt2zza/uEPfyA6OpqJEyfyzjvvePzst23b5nEOgFmzZnmdoztQ61hRqy7oGm3tiebqTNuOoIY+c6UcbBqh1ZYuMSQUwWQGXZMoHhmMuyUCdaF+j9ACmBg/EYD0wvQzOo8a+swXZ6KrqrSeXWvzATjv6oEtZmDyJ1F9QjCYdNgtzjajtNqtzdwH+l0AA2fChQ8p21b9WXGC6oH0tLGoGbS6GUmSOHr0KJIktd24F6FWXaBebWrVBXB0l5ITue+QCPcEqCm2Y3kexiwAJAlbXj6lDRFa/Z0jkWrs6GODCJvpnWLmSPkRHv7hYQCuG3IdVw26yr8ifNAT+8zhlPj05+PMeHYjf/sig9O1dq82bRVRlySJ7KyDyNtehhdGw4Z/gbUSYofBgo/gtg3QfzqMvwnuy4Cbvlb+HndjV0rzCz2xz/yBWnVp+B81j5Weoi1y4UIQReq2/YTl8GGPfYIg8LdJf2NG0gxsko17N9yLbkgNA86JRZJk1r19wL1AMGKasjCYte0Hsg4ebFNX2IwkDH1DkC0OytdZkM+9T9mx+mHFOQG4bWoaf5jeH4Cn12Sx8M3tnPfEBpam5/vzR9Buekqf+RtNV+fZf7KSBW/8RGmNjWEJYXxy+xRiQ8/AmCXL8PX9cGoXsimWapuSRi10ehKCofFTvC1tu4t3c7LmJMGGYKYnT/fYl7dPqZ+VMnIM9uPHkevqEIxGjKmpnb/vM8Rl0IpICFblWAT1ug6niAAAIABJREFUPmdnQmFhIbGxsR7b9Ho9kZGRFBYWtniM0WgkPDzcY3tcXJzHMY8++iiffvop69at46qrruKuu+7ipZde8jhP05pbrnNUVVVRX+/bccJqtVJVVeXxB8DpdLr/uPpXkiSf25tua2m73W53j5Xm7WVZRpbldm8HWtzu6/yt3fuZaHL9OXr0KHa7XTWaXAu1rj5zaVODpqZj0W6391pNhoaUg7Z6h3ubS5fr/pufRwwJRgyJ844WliHEEE59VSWWujq/ajonVjHs7yjYgcPhaFNr0346k+esp/RTa5pc99dcV3s1/bjsCE67RJ/B4fQbE3VWNMmyRFy/MAAKsytbfW7a85x59dO59yInjgNrJfKKe3A2GTPd2U9N77Gt5+xMxl5n0FIOamhoqJ6jOxWPm8SB4T73G1NTQBQ9jVqiiDElmZLPjpEYNICg04EgQOQ1gxD0nr4AFZYK7tlwD3WOOibFT+LPE/7cZVp6GgWV9eSW1pIcGUT6sTJe+O4Ix04rKQGjQwK4a1p/jHqRRV8dwCnLbecBd9oRdr3PiA1LEC0Nof+RaTD97zB8ntJPTTH36fFRWRoaGhpnE0OfPoTOnEn12rWUf/A/Eh571GO/TtTx5NQnuX3d7ewu3s1d6+/inSveoyi3iqpSC5s+yuLi3w6jz9DhhMcnUFFYwLFtmxjUP43w2LgWrgqCTiRy/mCKX9yNNbuSmkELCQ3/BCrylUjbixcDcP2kZF7+Ptt9nCTD35bvZ+qgGL97ImtodIRd+eXc9M4Oqi0ORieF8/4tEzEHGc7spDvegL0fgSBSO+wtnFud6MxGgid0rK7qyuyVAMxMnkmgvvE5kWWZYw31s1JGjcWSmQVAwIABCPru+9QvO6UYsSMTg3BQ2233oeEfHnroIZ588slW2xw6dKhL7+Ef//iH+99jx46ltraWp59+mnvvvbfT51yyZAmLFy/22r5v3z5CQkIAiIqKIjU1lfz8fE6fPu1uk5CQQGJiIjk5OW5DGEBKSgrR0dFkZmZisVh8nrupEXTYsGEYjUb27Nnj0W7MmDHYbDYOHjzo3iaKImPHjqWqqoqjR4+6t5tMJoYPH05ZWRl5eXnu7WFhYQwcOJDCwkIKCgrc2/2lKS1NSfV+4MAB1WgaMGAAZrOZAwcOAJCRkaEaTU3HXkZGRq/VVF6l/G2rd3g9TxaLhcDAQC9Nw+PjkWqKkGUJQWiyniCAVVAM3jt+3ExwVIz/NMUmoBf1FNYVsm7HOmIDYjvcTwCDG6KtXWPRRU/vp9Y0DRs2DJ1O56WrPZoqTtjJ3VsHAlwwfxDl5eVnT1OQ8nfB0Qoc5pI2f+9lZGR0qJ/CRj7IwOLfImSv58SK/6M0ZU6395Ov3xGSJGG32/029o40ZBboKJpBS0NDQ9X8/O0xKgqVScr2L3MIDDEy7DzP/O2G+HjiFy+m0PWhJIokPLoYMTqK6oISZsXfDEDo1L4Yk0I9jrVLdh7c9CAna07SN6Qvz1z4DAbxDBc/eglL0/N5eHkGUrOI48hgI3demMYNk1MJbAj/vmhobOt5wCUn7P8cvn8csTwXIyCHJSJc+BCMWQi6X8bPVENDQ8MfRN54A9Vr11K5YgUxf7offUSEx36T3sRLM17ixm9vJKcyhz9uuZunb/gPa188zJH0IpKHRzJkcgLRSSlUFBZwfPuPvLNjCxfffg8jZ1zS4nUNMUGY56RR8cVRKteexDTnGQxrroVt/1F+l8cMdjs9NMUpyxwrrdMMWhrdQkFlPasyCnhmTRb1dokJqRG8c/MEQk1nOPfI/UGJUATkGf+i6gcTYFOis/TtT5RidVpZe2wtAHP7e6YbrCgqoKqkCFGnp++wEVS+8RYAAWe5dlJzygoaUw4W1/q3NonG2eeBBx7g5ptvbrVNWloa8fHxFBd7pu5yOByUlZW1WPsqPj4em81GRUWFR5RWUVFRi8cATJo0icceewyr1UpAQADx8fEUFRV5tCkqKiIsLIzAQN/vlocffpg//elP7v9XVVWRlJTEqFGjCAtTPPFdER3JyckkJSW527q2u4w6zbc3rV/mdDrdi7ajRo3yaC82OOuNGTPGa7vJZPLaDspCoK/tkZGRRDR734PyM24aveYPTYDbq3/48OHuxenersl178OHDycjI4ORI0ei0+lUoWnUqFHusThy5EgMBkOv1CQX53NqTy62eof7eXLpMplMiKLodY9yfT2ypQLrng8wjbsJd00EnUBYVAxVJ0rpEx1F6ujG4/yhaVT0KHYV76I6sppLBl7Soibw7CePe294zlxjsWn7ntxPrWkSRdEdldNUV1uaRo4YxbIVO5XjpvUhKjEESQo6a5qiTeWc2LmPguxKLrplskf7pr8jmj5nHe+nf8Kav5F86HX6Tv0NRKR2qaam997W+8mlSxRFDAaD38ZeS+/ottAMWj0Ak+kM0lj0YNSqC9SrTW26asotbP8qx/1/WYaNH2aSPCySkAhPrWEXz3QbtNK+XUVASgol+ccYY55GoD4EfUwgYTO9i00+k/4M2wu3E6QP4sUZLxJu8h0F1lV0V5+dqqjjoc8zvOpj3XlhGvfMGEhwgOfrJcEc6HuhUpYh8xv4/v+gWPHwkINjKBy4kNjL/oouILiLFHQfanvOXKhVl4b/UfNY6SnaAsePJ2DYUKwHD1Gx7DOib7/Nq405wMxrM1/jN6t+w9GKo/zr2N+58/JH2Lkyn00fHyY03EH2z401T2RZZu0bL2EKDqH/hEmIou989cET47EcKsOSWUbZ9mhiB8xBOPo1rHoQblxBv+hgRAEvZ4i+Ed3zs+spfeZvNF3tY2l6Pg8tz8BVDqB/TDDv/XYiQcYz/EyuOA7LbgLZCSOvpUa4AqkqB505gOBzfC/St6Rt0/FNVNuriQuKY0L8BI99rnSDiYOHYDQFYslSIrRMgwed2f2fATaLg6pSxfM3IiGYqhPqHIug3uesOTExMcTExLTZbsqUKVRUVLBz507Gjx8PwIYNG5AkiUmTJvk8Zvz48RgMBtavX89VVykp27OyssjPz2fKlCktXmvPnj1EREQQEBDgvvaqVas82qxbt67VcwQEBLiPb4pOp/NYOIbGhT1fbduz3TVW2tu+te2CIPjc3tI9dnR7e+/F6XRiMpl8/rw6ch7oOZqabvelrbdrAty6XIvbvU2TqSFy2mZxem43mRAEwec9ykFBIAjY87aQ9OqjyM5AKlcfw36yhjGmaZziMLVlp30aZs9E08SEiewq3sXPxT9z7ZBrO6wVOvec9YR+as89tqSrpfYHNhdQUVRHYKiBSXPTOnXvZ6IpoX84gihQU26lrtJOaKT3HKAjz5nPfpr0e8j8BiFvC7qV9yjlNRruuTv6qfn21p4z6NzYa+m6baHV0OpmdDqdl0eLGlCrLlCvNjXqqij2zpcuS1DpY7vt+AkA9LGxBKQohqvyHcdIDR2BjEzENYM8ah0U1hbyTPozfJT5EQBLLljCwIiBXSGjRbqjz2RZ5vusYq5/a4eXMQvgwkGxXsasFk4ER9fDmzNg6fWKMctkhhn/QLh3DwlXPKpKY5YanzNQry4N/6PmsdKTtAmCQOQNSl3B8o8+QrZ71zMESAhJ4JWZrxBiCGFn0U4+DXyFxIFmHFYn69/f5l30V5ZZ8e/Hef3Om1j7+ovk7ErHYbO5d1efLuX4gQwMM6IQgw3YC+uoDPwz6E2QuxkOLCfBHMiSeSPRNatj8N7WPM42PanP/Immq30UVNYrzjlNhnluaS2V9b6fl3Zjr1fmNnWnIX4U8qXPUb3pOAChM3xHZ7WmbWWOkm7w8rTLEQXPY/Nc6QZHjgXA2mDQChjcfRFa5QVKFGZgmJEQs0mVYxHU+5ydCUOHDuXSSy/ltttuY8eOHWzZsoW7776bBQsWkJioZMg4efIkQ4YMYceOHQCYzWZ+97vf8ac//Ynvv/+enTt3cssttzBlyhQmT1Y84FeuXMlbb73F/v37OXr0KK+++iqPP/4499xzj/vad955Jzk5OfzlL38hMzOTV155hU8//ZT777//7P8gmqHWsaJWXaBebWrQ5aqJ7qr5Cm3rEkQRsSGNKFgxDYwg6oZhiEF6gp1hjImcTlVpsc9jz4SJ8RMBSC9M955TtxM19JkvOqqrttJK+je5AEy+oj8BZ5oSuhMYTXqi+yrjqDC7ssV2Z9Rnogi/fhkMwZC3Bba/2tnb9Ts9bSxqBq1uRpIkSktLVVdMVq26QL3a1KgrPNY7IkgQwexju/2EstBgaAjVlersGPcok46yiFICksPcbZcfWc4ln13CewffA2BG0gxmJM/w+/23xdnus23Zp7nmtW3c8m46uaXe9RB0gkBqdFDbJ8r/Cf47B/43D07tUl7WFzwAf9wLUx9EMgSpbiy6UONzBurVpeF/1DxWepq2sMtno4uKwlFYSPV337XYbnDkYF6Y/gIG0cC64+vIHLuBgGA9VaUBgODV3hgYSF1lBRkb1vLFk4t55daFrPz3Eta+/iJv/uEWlj32N97+y21UDVRq6NT8XI1lWEONkjV/B2s18yck8+ND0/n4tsksuXIEAG/9mMuKvaf8/nNojZ7WZ/5C09U2sizzwndHvJxzJBmOlXqnxezAiWHlH6FgLwRFwYIPqdldiVRtRxceQPB433XoWtJWbinnxxM/AjA3zTPdoOR0cvzAPgBSRo3BWVOD/YTioBXQjRFaZQXKsx+VGKzasQjqfc7OlA8//JAhQ4Zw0UUXMXv2bM4//3zeeOMN93673U5WVhZ1dY3P2XPPPcecOXO46qqrmDp1KvHx8Sxfvty932Aw8PLLLzNlyhTGjBnD66+/zr///W8WLVrkbtOvXz+++eYb1q1bx+jRo3n22Wd56623mDVr1tkR3gpqHStq1QXq1aYGXS6Dlq2JQas9usRQxRAh1VQDoA8PIGK+Up9qoHk8Qr6jxWM7y+iY0QToAiitLyW3MrdT51BDn/miI7pqyi2s/+9B7BYnsalhDJ2ScBbu0DcJ/c0AFLRi0DrjPovsB7P+pfz7u8VQktW58/iZnjYWNYNWNyPLMnl5eZ221vdU1KoL1KtNjbpCIkwYTY3eA4II064f4pVuEBojtIx9+wJQ8XUOeoeeKttpGN1oACusLWTxtsXITZZANp7YSGFtYVfJaJGz1We78su5/q2fuO7Nn/g5r5wAvchtF/TjH5cPdXvY6wSBx+eNaL3+ScFe+PAaeGcW5P0IOiNMvksxZF30TwiMOKu6ugO1alOrLg3/o+ax0tO0iUYjEfPnA1D2/gettp2YMJHHz38cgI+Ov4809SSCGIo+aKa7eLYgilxyx73c9dbHXP33fzFm1uWEREZht1o4vH0LGRvWurXLssyqr17EOCocZCjPHINkHgbVBbDxCUBJRTulfxTXTUrh99P6A/DXz/ZxqKDKxx12DT2tz/yFpqt1HE6Jf3y1n0/Sj3vta7dzTkv89ArsWwqCDq55DymoD9UbW4/Ogpa1rT62GofsYGjkUAZEDPDYV5h9BGtdLabgEOLSBmA9fBgAfVycV928s8npUw31sxKDVTsWQb3P2ZkSGRnJRx99RHV1NZWVlbzzzjuEuCMjIDU1FVmWmTZtmnubyWTi5ZdfpqysjNraWpYvX+5RP+vSSy9l9+7dVFdXU1NTw549e7jjjju8UhhNmzaN3bt3Y7Vayc7ObrPu19lCrWNFrbpAvdrUoMuXQas9unQhSi10qabGvS1wcCS2AcoxfcpScZR6Z/I5o3vVGRkTo9QT2lG4o1PnUEOf+aK9ug5uOcV7f9vK8UPlACQNiUAQvR3uzhbxboNWRYtt/NJn42+B/heB0wpf3AlO/xtcO0pPG4taDS0NDQ3VYrc6sVmUYpODLgli4tRRmFtYpLAfb4zQqs8so25XMbIss6N0FZekNaaqyK/KR5I9PRIkWeJ49XHig1suXNybKKisJ7e0FptD4oNteazPVMLvDTqBBROSuXvGAOLCFKPg7FEJHCutIzU6qGVjVkmWUiPr4FfK/wUdjP0NXPgXMPc9G5I0NDQ0fpFEXLeA0jffpH73buoz9hM4ckSLbS/tdykl9SU8lf4UL1U8zoNjnqFmz0iCwwfQd2Idky+aSnisEl2SMmoMKaPGMOOWOynKOcrOVV+R+eNGj/PJkoR1mIThVCCO0nrKo5cQVflr+OlVGHM9xA1zt33wksHsP1nJD0dKufN/O1nxh/Mxd0MqEQ31U2dzcO/Hu/nuUDGCAHNGJrAqoxCnLLfPOac1cjbCWqUeK7Meh34XUPvDCaQaO7qIlqOzWuPr7K8BmJM2x2tfXoaSbjBpxChEUYclMxOAgCGDO3f/fqLcZdBKUF/qaA0NDQ2N7sVoajBoWTq2wC+GKgYtZ3WNx/aA86Mp3r+HGFMSpz86ROzvx3iUmjhTJiZMZHvhdnYU7mDBkAV+O+8vgZpyCxv/l0nTcPpda/MYcWEfn07qZ4OE/uEAnD5Rg83icI9HvyMI8Ov/wCuTlaxGW56DqX/ummv1UrQILQ0NDdVS1eBhExCkJzLFQEiEd9FfF7YTxxFM4QjB/Sj7TPFwzapK57T1FNFJKe52yWHJXseKgkhSaJKf7757WJqez3lPbGDhm9u5+d101mcWoxMFrj2nLxsemMZjV4xwG7Og0cPe5+JP+TH44vfKS/jgV4AAI6+Bu9PhVy9qxiwNDQ2NLkYfE4N59mUAlH3wfpvtbxh2AzcPvxmAlwIewRQjYK0PpDQ7jpCIKK/2giAQ338gUxfe7C567N4nioQn9SFy/mAQoT5HR13cfSA7YdWDNC1cpBMFXlwwlr4RgeSdruO+pbuRpJ7h/aehHkqqrVz3xk98d6iYAL3IKwvH8dLCce70lz8+NJ35E7znee2iPA+W3aKM79ELYdId2EvqqFqfD0DYjGQEXcc+vY9VHmNf6T5EQWR22myv/d71s5T5q2lQ9xq0XBFaUX1C2mipoaGhoaHRMYyBSgYeW72zQ8eJIYqThSvloAtzbBzbildicdZhP1VLxTc5/rnRBprW0WruGK3ROhXF9TQPBpIlqCz2byRdRwiJCCA0yoQsQ1FOF2eVCEuEy55W/v39E/Dzf6HyZNdesxehGbR6AGFhYW036oWoVReoV5vadLledGExgW1qk+qjCZ71BJasUOQaO3KAwP7yHzDHxWMMbIzqCjIEoRcavTBEQWTRlEXdFp3lzz7bk1/OXz/PoOkaogB8dOsknrp6NEmR7UzBU1UA3zwAL50Dez9SZh1D5sDvt8BVb0FU/zZPobax2BS1alOrLg3/o+ax0hO1RdxwIwBV367GXtx2wev7x9/P5WmXYxUtLE16FlEPlScc7NvY8gdUaFQ0F99+jzs9IcDUhTcTGhWNMSmUsBmKkaC88GIcYlJDkePXIXez+8MsItjIa78ZT4Be5PusEp5ff+RMZLebnthn/kDT5Ul2SQ3zXt3C3hOVRAQZ+Oi2SVw2UqnB0KpzTnuw1cEn10N9GSSOhTnPUftzEUXP7kRuyBQgt8NA21zb1zlKdNaUxClEB0Z7XrK+joIjSk2F1NENBq0eEKFlrbNTW2EFIKIhQkutYxHUrU3Dv6h1rKhVF6hXW2/XFdCQctDpkHDaGw1EbelypRx0VnsatILDI7AJ9WwvUd65tT8VULe3xG/3Ozx6OIH6QCqsFRwp79zctrf3WUu0pSs81nteJohg9rH9bJLQjrSDfuuzUddC/CiQHfD1H+H5EbCrbSfFrqInjUXNoNXN6HQ6Bg4ciE6na7txL0KtukC92tSoq7JEMWiFxwS2qs1RWoM+ZY7HQhxWCaMYSExyqkfbb3K+wSE7SA1L5e1L3mbNVWuYN3BeV0loFX/1WUWdjSWrDnH1a9u89slAu53k68qUVDsvjoH0t0CyQ9p0uHUDLPgQ4oa36zRqHIsu1KpNrbo0/I+ax0pP1RY4YjiB48aB3U7FJ5+02V4URB479zEmJ0ymICCP9DTlA3/7lzmU5Fe3eNzIGZdw28vvuKOabRaLe1/o9GSMyaHIVply05PIsgCr/wrvzfX4MBvRx8ySeSMBeHH9Eb47WNRp3e2hp/bZmaLp8uTnY2Vc9epWjpfVkxwZxOe/P5fxKZH+uSlZhhV3Q1EGBMfA/P/hqBMoX+65aFXx5VEcldYWT9NcmyzLboPW3LS5Xu2PH8xAcjoJj0vAHBuPLElYjijXNA3uPoNWWUN0VkhEAAGBetWORVDvc6bhf9Q6VtSqC9SrTQ26DE1SvFkb6mi1R5cYqkQNS81SDgqiSGhUDIX1ucgjlYw+5cuPYPdTPS2DaGBc7DhAidLqKGroM1+0R5el1jOtpCDCtOuHdFu6QReNBq1Kn/v92mdVp6Bof+P/ZQlW3tctkVollhLKQ8opsfjP4HsmaAatbkaSJE6dOoUkqSv0VK26QL3a1KirsmESEhptalWb5cgpT2MWICAQYggnuolBS5Zllh1eBsCCIQuYmDCxW+tmnWmfWexOXt2YzdSnvuf1zTk4fFiu2lUc3VIF3y+B50fB1hfBYYGkSXDT13Djl9B3fIfuS41j0YVatalVl4b/UfNY6cnaIm+8AYDyT5YiWVteVHdh0Bl4btpzDIkcQnrkOgpispCcMmvfPtBqzYLQqGgmXnENABkb1iA5legUQScQee1gBKOItSyMGucVjQc1+zCbN64vN5+bCsD9S/eQU+K58OBPenKfnQmaLqUe6NbsUj7cnsfCt7ZTUWdndFI4y+86l7QYP6bC2/oS7P8cRD1c+z6Y+ypF5ZtPqWRaLTbfXNvu4t2crDlJkD6IGckzvNrn7dsDKPXsQKkFK9fVIRiNGFNT/SKtM7jSDUYmNiwcqnQsgrq1afgXtY4VteoC9WpTgy5RFDCYXGkHlTlpe3TpGmpoSTXe88qwmBgAqhKrMfYLQ7Y6KfvwELLdPz+niQlK2sHthds7fKwa+swX7dG1tyFtc8qIKK64fyw3/t+5DDsv8WzdYoskDFDqaBXmViE5ve/fr31Wlq18KzVFdkKZf1NjtsXyI8uZ9dksfrf2d8z6bBbLjyw/q9f3hWbQ6mZkWaagoAC5eWLQXo5adYF6talRV2VxHQBh0YGtapPrSpCbvSRkJGrsFR4RWhmlGRwpP0KALsBnce6zTWf7zOGUWJqez7SnN/Lk6kyqLA6GxIfy7i0TeGLeSHQNdVDaLI5uq4MtL8ALo2DTE2CrhviRsHAZ/HYN9LvgrOrqDahVm1p1afgfNY+VnqwtdOZM9AkJOMvKqPpmVbuOCTGG8MpFr5AYksjqlP9iNdVQUVTHD5+2ni5l4KTzCAwzU1N2muydjR/u+uhAwucoKWcrHTdS7xyDxTkShxzl9WH298uHMiE1gmqrgzs+2El2cQ1bs0spqPRvzvye3Gdnwi9dV9N6oH//Yj82h8TFw+L45LbJRIe0XE+1w2RvgO8WKf++9AlIORcAfaQPz2FBeQZaork2V3TWzJSZBOq9j2teP8uSpaQfDBgwAEHfRQXK20FZgcugpaQbVOtYBHVr0/Avah0ratUF6tWmFl3Ghigtl5NVe3SJrpSDNd7ZBkKjYwGoKism6rohiMEG7AW1lH1+GEt2RasR1u3BVUdrZ+FOnFLHan+ppc+a05au2korh3comRrOuTyVPoMjuj0yy0VkQjDGQD0Oq5PTJ2u99vu1zyL7K6FpzQnvZM3XTlBYW8jibYuRUNZMJSQWb1tMYW3hWbsHX2gGLQ0NDdVS1eAJa45p/cXnKD2Jo+hA4wYBdpWvp95ZTXRyP/fmzw5/BsCs1FmYA8z+v+EupKCynq1HS1m6I59LX/iBv36eQWGVhT7hgfz72tF8c+8FTB8cy4KJyW0XR3fYYMeb8OJYWPdPqC+H6EFwzX/h9s0w6BJoMIppaGhoaHQ/gl5PxMLrACj74IN2f2DFBMXwyoxXMJhEVqe9g4xM5tYCjqS3nApQbzAwcvrFAOxZ62k8C5oQh2lgEGDgtP0xSu1LKLS+S61zFkSmudsZdCIvXz+O2NAAjhTXcNG/N7Hwze2c98QGlqbnd1C9xi+Jgsp6Hl7uXQ900dxhBBr9mK6nLBeW3aJ4zY79DUy41b3LfrKZ97cAEfMGoje3z5hmc9pYc2wNAHP7e6cbrCotoezUCQRBJGnEKACsmQ0GrSFDOqPGb5SdUrRHNRi0NDQ0NDQ0/I2xoY6WK0KrPYghynupecpBgDCXQaukBF1YAJHzldS99XtKKH0zg8IndlCb3vnF+yGRQwgxhFBtryazPLPT5/klsX/TSSSnTHyamfh+PWvtTRAF4tOUWlKt1dHyC+Y+MPcFEJrNYfct7drrNiG/Kh+pWQCAJEscrz5+1u7BF5pBS0NDQ5U4nRLVZYonTVgrHrEAtuPH0TV4OITNTMZ0czJHK3ahNwYQHq+kFKy2VbP62GoArh50dRfeuf9Zmp7PuU9sYOFb2/nr8gyOFtcQHmTgkcuHsv6BC5k3ri86sdEA1WJxdKcDdn8I/xkPqx6EmkIwJ8OvX4Hfb4PhV4KovVY0NDQ0eiIR11yDYDJhPXSI+p9/bvdxqeZU7ku5j/LIk+zsoyyyb/ww0+004otRMy8DQSA/Yw/lBY053gVBIOyyQSj52FzvHZFyx904iPY4R2yoiX9dMcJjmyTD35bv93ukloZ62JVX7lX7UwaOl/lxzFhr4JPrwVIBfc6B2c96OPJU/6CM+eApCUTfNpL4hyYSPKH9Kao3n9hMla2K2KBYJsRN8Nqfl6FEZ8X3H4gpWEntZzmsGLRMgwd1WpY/KDvlGaGloaGhoaHhbwICXSkH2x/t1Jhy0DtCKyymwaBVWgyAPq5ZyQVZqavV2UgtvajnnLhzANhRsKNT5/glYbc52b9JmUuNmZnUzXfjG3cdraO+62j5lXE3wn0ZSkmPS59Stm16Cpo65XchyWHeTu6iIJIU2r19o60Uql16AAAgAElEQVQ8djOCIBAVFYWgsmgGteoC9WpTm67q0xZkSUZvEAkOD2hVm/2UA9FkBp2T0GlJlJUrngbRScmIojJZWpWzinpHPf3N/RkTM+as6WiN9vRZ+rHT/PXzDORmnsqf3jGFWy9Iw2Roh7eyJMGBL+DVKfDVXVCRDyFxMPsZuOdnGHs96PyX3kZtY7EpatWmVl0a/kfNY6Wna9OFh2P+1a8AKHv/g3YfJwgCk5Im8eQFT7I7eR2FoTnYLE7Wvn0Ap4+88QDm2DjSxiof7nvXfeuxT6p30mjMakAWfNYXCjF5v1ucssyx0rp2339r9PQ+6yy/VF07csv4x1feH/ftqgfaXmRZmQsVH1DmQvM/AENjJgBrfhW2vCrQCYRNT8bUP7xdkVlNta3MXgnA5WmXoxO952nu+lmjxzZe1xWhNbj7IrTqqmzUV9uViLR4xaCl1rEI6tam4V/UOlbUqgvUq00tulwRWtaGCK326HKnHPQRoWVuMGhVNxi0fNa8bKMWZltMiFccVHYUdsygpZY+a05rurJ+KsRSaycs2kS/MTHdcHdtk9BfqaNVkF3plfmiS/rM3Ecp6THpdhg8GyQ7fHmX4nR+FhCafLuJgsiiKYuID26/s1ZXoBm0uhlRFElNTUVUWVSDWnWBerWpTVdliTLZCIsJRKfTtapNsikTGGNfAUEvUpJ/DMCdblCWZZYdXgbAVYOu6jGTidb6rMpiZ8mqQ1z3hnfhURk4XWNr+cSVJyF3M1SegMNr4Y0LYdnNUHoYAiPg4kfh3j0w8TbQ+7EWRQNqG4tNUas2terS8D9qHiu9QVvkDb8BoPq776j8+hvshW2nT3HpmpEyg39MeYTvBr6PVVdHUW4V6V/ntnjc6ItnA3Bg43fYbY0erfroQC97FjjRh3sv3PeLDkZs1lYU8Jtxojf0WWf4pemSZZm3f8zlujd/oqzWRlxYgHvctFkPtKP8+Bwc/ApEA1z7AYR5FievaYjOChoTiy7M2O7TurRV2arYfHIzAHPTvNMNypJEfkaDQWuk4mDlrKnBfuIEAAHdGKHlqp8VFh2IIUB5ntU6FkHd2jT8i1rHilp1gXq1qUVX85SD7dGlC1UimqUaHykH3RFaJciS5Huu2kYtzLaYmKDU0dpVtAu7ZG/3cb2pzwprC9lRsKNdtZVanNNJMnvXKw7mo6YnITb/EOghxPYLQxQFaiusVJdZPPZ1aZ8JAsx5DkxmKNgD217y/zWa8fmRz5GRGRU9indmvcOaq9Ywb+C8Lr9uW/T8J0LlSJLEsWPHkCTfHq69FbXqAvVqU5uuqhJX/azAVrU5a2wIQYrhKnic4v1R2mDQiklJBeDA6QNklWdhFI0+Fxe6C1+6HE6J//2Ux/SnN/L65hwczfPu0Ian8q734fkR8N5ceG44fHQNFO4DYyhc+BD8cS+c90cw+snT2QdqG4tNUas2terS8D9qHiu9QVvAwIEY+6eBLHPqwQc5OuMiKj77rNVjmuq6atBV3DjxOjb1V/K27/z2GCeyyn0elzpmHGExsVhqa8ja+oN7u94cQMS8gR4LBQHCLvR5X3qdI8EcyJJ5Iz2MWpPTfKTE7SS9oc86wy9JV63VwT0f7+axrw/ilGR+PSaR7x+cxpaHZrReD7QzHFkH6x9V/j37aUie5LHbUWahfn8pACHn9+nQqV3aVueuxiE5GBI5hIERA73aFeflUl9dhcEUSMJAJRrLevgwAPq4OPQRER1V5Tfc6QYTGtMNqnUsgrq1afgXtY4VteoC9WpTiy5jQwS/zaIYtNqjSwxRDFpOHykHQyKjEQQRp91OXVWlz7kqooBsa3+Kw+YMihiEOcBMnaOOA6XtTxXXW/ps+ZHlzPpsFr9b+ztmfT6L5UeWt9q+JV15+09TUVSHMVDP0PMSuvKWzwiDUUd0kjKmCrM90w52eZ+FxsOlTyj//n4JlBzumusAdsnO54c/B+D6odcTY4khNjC2y67XETSDVjcjyzKnT59ud3Hu3oJadYF6talNV9MIrda01W7LRxB1OMuPEThKMWy5I7SSUgH47LCy2Hdx6sWEm8K7/ubbSXNdmw+XMPvFH3jky/2crrWRFhPMOzefwxPzRqJriCpr1VO5PA9W3KsUOG/K+FsUQ9b0hxVPkC5GbWOxKWrVplZdGv5HzWOlN2izFxZiy2kSVSVJFPxzEdb8/BaPsRUUUL75B2wFBQDcOfpOxk7uz6HYbYDAt2/tod5H1K8o6hh10aUA7F23ymNf8IR44h+aSNglKQBY5XHYNn6ppLhtxvwJyWx5aAYPXaYs3m/NPs3mwyUd0t0SvaHPOsMvRVdOSQ1XvrKFr/cVoBcF/t/cYTw/fwxBRn3L9UA7y+ls+Px3gAzjb4ZzbvFqUrPlJMgQMDAcY0LHaki5tK3MUdINzkmb47Nd3j6lflbSsBHo9MqCniVTKTDfndFZAGWnFK/3qCb1s9Q6FkHd2jT8i1rHilp1gXq1qUVX8wit9ugSXTW0fKQc1On1BEdGAlBVoqQddM1Vo28bgTE1DJwy5csOI/twGG4PoiC662KmF6a3+7je0GdbT25l0dZFSCjzeEmWWLxtcauRWi3p2rNe+SYZfn6i23DZU3GnHWxWR+us9Nno62DAxeC0Kqmwpc4bW1vj+/zvKakvIcoUxYy+M3rUWNQMWhoaGqrEZdAKj2l5IUOWZWp3KhMWZ9lexMBAbPV1VBYpL97o5BRqbDWsylUW4q4eeHUX33XHKKi0kFFsZVv2aW55dwc3vrODw0U1hAcZ+H9zh7HmvqnMGBLHgonJ/PjQ9JY9lcvzYMO/4I3pKAkJmzHiKgiOOiuaNDQ0NDS6DtuxPGj+ESJJ5Fx6Gdlz5nDyTw9Q+vobVG/ciL2wkPJln5F78SWYHn+c3IsvoeKzzxAEgUcmP4J4XgnlpiJs1TJfv73T58fNyBmXIOr0FB49TFHOUY99enMAYTOSCRwRDugoL/k1cuYan/edYA7kzgv7c9MUxQD24LK9lNe2kjpXQ/WsOVDIr/6zhcNFNcSGBvDJ7ZO5+bx+XZMW2loNnywESyUkTYLLnvJqItU7qE0vAiD0gr6dukyRtYh9pfsQBZHZ/Wb7bJPnSjc4qkn9rCzFM9fUjfWzoEmEVmLHjHkaGhoaGhodISBQSWvrMmi1B11DhJZssSDbvVP+hUW70g4Wu7fpzQGY+kcQuWAwQoAOW361O7VwZ+hsHa2eiCzLbD21ldvX3s4d393htV+SJY5XH+/QOUvyqzmZVYEgCoyc3rm51NkkYYDi7F3QLELrrCAIMPd5JZPSiXT46dUuucynWZ8CMG/gPAw6Q5dco7P0bHOnhoaGRidpGqHVEvaTNTgrnMhOO6JRSRFTejwPgJCISILCzHya9Sn1jnpSw1IZHze+62+8nSxNz+fh5RlIMrBJ8fDRiwI3TknljxcNxBzk+bJJMAd6eik7bJD1jZJiMPt7fBqyAAQdRKZ1jQgNDQ0NjbOKMTUFRNE7EkqSsB3NxnY0G1at8n1wQzRX8PnnY4iP58mLlnBv2V8I2zyX4kP1bFuXybmXDPU4JMgczqDJ55G5ZRN71q5i1p33ep02/MohWLM2Y7f3o/qbzYQNu6zF+3/osqH8eLSU7JJa/v5lBi8vHNdj6lpqdD0FlRb2Flr5YsUB/rddWSSZmBrJf64fS2yoqWsuKknwxZ1QkgmhCXDt+z7rh9buKEC2OdHHBREwsHPR/FsrtgIwOWEyMUHeRdDtNisnM5U0RSkjmxi0XBFaQwZ36rr+QJZldw2tyMSQbrsPDQ0NDQ3144rQsta3PyrFlXIQlNqTzVP0hkXHcCoLKouLvI7Vh5sIn5NG+edHqFx3DNOQCAxxHXfemJSgpCreXbwbm9OGUdf+Wps9BbtkZ82xNbx34D0yy5T5h4CA7GM9KaMkw23Eaw+u2lkDxscSGtlF8zo/Et9fMWidPlWDtd5BQOBZNrGY+8Ksf8HKP8KGx2DwZRDV32+nz63MZXvhdkRB5JpB1/jtvP5CM2h1M4IgkJCQoLqPcbXqAvVqU5MuWZKpKm2sodWSttqflcmK49QujH0Uj5ySvGMARKco6Qdd6QavHnR1j/nZHC+r5aHPM7ymDB/eOolJaS1EUlWehLJsEEQ4vBr2fAx1pY3706bBuBuhvhJWPQiyUzFmzX0ezB2rA3GmqGksNket2tSqS8P/qHms9AZthvh4Eh5dTME/FykL9aJI/OLFhEydijUrE0tWFtasw1izMrFm5/g2fOXlY4iPJ1AfyFNXPso/ip5jaOY0fv7yOEHJYDNXkxyWTHxwPACjL76MzC2byNyyiQtv+C2mYM/Fbl2wgfDLkyj7soiq0+di2v0TxrGTfd5/oFHHCwvGcsXLW1iVUcjyXSe5anznPTh7Q591BjXq8nDkQanb9rvz+/HQZUMw6Low6cgPz0Lm16AzwrUfKHULmiE7JWq2nAIg9II+nf6576hRPLZbSjd48tABnHY7IVHRRPZRxr0sSViOHAHANLj7DFq1FTasdQ4EUSAirrHOqhrHogs1a9NoHafTid1HhEdLSJJETEwMVqsVUVRPkiS16gL1alOLLr1JxmQWkQQ7Foul3brktDTk+nrqKiowBno6PpsT+xIUGU1NdTUWi8XrWHGEGd0RM9bcKopWZhF13VAEXcd+/ycGJDI0dCgV1gq+OPgF5/Y516cDS1P81WcGgwGdTtfh4wprC8mvyicmKIbNJzbzv0P/c6cSDNQHMm/gPH4z9DfsKNzB4m2LkWTJbeB6ftfzxAXHcXna5V7nbf4OrSm3cqQh0n3MzKRO6zybBJsDCIs2UVVqoSinkuThylrcWZ0fjLsJ9i+H3E2w4h646WvFedEPuKKzpvaZSkJIApIk9ah5j2bQ6mZEUSQxMbG7b8PvqFUXqFebmnTVVtpw2iVEUSA00uRTm2yXqNuj1OCw528lZNJ0oLF+VkxyKgdOH+BQ2SEMooFf9f/VWdXQEjtyy3jg0z0+46laTOec/jZ88wBeUVgh8TD2ehh7A0T2a9w+aBaU5SiRWWfZmAXqGovNUas2terS8D9qHiu9RVv41VcTfP752PLyMaYkY4hXFugNcbGETJ3qbmfNP07OrFleKQoNiY0FmiNMETz0u9t57YmvSTg9iJWv72L5yGeR9E4WTVnEvIHz6DNkONFJKZQez+Pg5g2Mu8z7fRo4aSCmTTuxlPelfMVJYkfJLS4SjOhj5v6LB/H0miwWrTjAxH6RJEUG+WzbFr2lzzqK2nQVVNbz0PIMj6EoCHDrBf261piVtRq+/z/l35f/G5J8exnX7yvFWWVDDDEQNKZzhbIzTmdQUF9AoD6Qi5Iv8tnGnW5w5Bj3YoL9+HHkujoEoxFjamqnru0PygqUmiThsYHoDI19orax2BQ1a9PwjSzLFBYWUlFR0anja2tr/XxHPQO16gL1auvtupxBTkbONaPTC+TmNtaGbUuX488PgiRxoroaoZnRKjRtMONiE9EbjR7nbIo8Wo+zXwjIMpWHjyJ2osbT3al3Y3fawQKHsw9THFBMkKHteaw/+iw8PJz4+Ph2GySWH1nO4q2L3bWxXESaIrl+6PXMHzwfc4ASpdQ3tC/nJp7L8erj9A3py9v732Zp1lL+/uPfMelNXnOb5u/QjI0nkCSZhAFmYlPCzlDp2SNhQDhVpYUUZDcatM7q/EAQ4FcvwStTIG8LpL8Fk24/49PWO+r5KvsrAK4dfC3Q8+Y9mkGrm3E6neTk5JCWltYpa3lPRa26QL3a1KSrsqQOgJAoE6JO9Kmt/mApssWB7KzBWZKJIelGAEqbGLQ+bYjOmpkykwhThPeFziKFlRaWfHuIr/ac8rlfJwikRjebCBUdhG0vw57/eR/wq/8ohSR1Pl4D5j7dYshyoaax2By1alOrLg3/o+ax0pu0GeLj3YaslghITiLhsUcbo7kaKH723/R5+ikEg5Latm9oXy6+aQTbXyohsj6BKXlX8EPaMhZvW8y5iecSHxzP6Itns/6dV9m7dhVjL53r9SEtCAIR14yi8I187PWx1KzZS+jsMS3e250X9uf7zGJ+zivngU/38vHtk9GJHfcW7E191hHUpKvaYufhzzO8Sr/JMhwrrfNMp+xPSo/A8tsAGSbcCuNu8NlMlmWqfzgBQMiURAR95wxsK46uAOCipItaXNjK27cb8KyfZcnKAiBgwAAEffd92rdUP0tNY7E5atam4RuXMSs2NpagoKB2LwrLsozNZsNoNPYYz3Z/oFZdoF5tatFlszqoLrUgGgQiYoPbrcsqCMg2G4Y+fdEFe75rbfV1VJYUozcYiEhoeS3EWW/HWWkDAfQRJkRj+3//2512HFXedb/6hvVtsT6RP/pMlmXq6uooLlbqgyUkJLRxhBKZtXibtzHr/nH3c/2w6wnQeadfjg+Od2do+Nukv1HvqGdF9gr+vOnPvDTjJc7rc567bdN3qNMuc6ChNtmYmcle5+3JJPQ3k/VTIQXZjY4OZ31+EJECFy9WMi199/9g0CUQkXpGp1ydu5pqWzV9Qvq4+62nzXs0g1YPoKqqqrtvoUtQqy5Qrza16HLVzzI3qZ/VXJsr3aCzeDcgY0zqiyzLboNWcGIcq35S6oh0Z75Ym0PinS25vLj+CHU2J4IA101MZkBMCP/65iCSDKIAj88boSzq2OrgwBew6z04vr3lE0ek+jZm9RDUMhZ9oVZtatWl4X/UPFbUpi386qsxTZnCoQ0bSAkMpHjxo1SvXs1J8DBqBYYa2TDgf8w59HuGF53PCXMWuVH7OF59nPjgeIZeMJ3NH75L2akTHD+QQfKIUV7X0qUNJ7zvp5SfmEnlDxWYJtRhiPG9sK8TBZ6bP4ZLn9/MjmNlvPlDDnde2Lmc8WrrMxdq0LU95zQPLNvLifJ6r30+HXn8haUKPlkI1ipIPhdmLWmxqTWnEvupWgSDSPDktheIfGFz2liTtwbAZ1oegNqKckryFI/xlBGjG6+f2WDQGjKkU9f2F6ddBq0E75oiahiLLaFmbRqeOJ1OtzErKqqFFO8tIMsykiRhMpl6tRGhOWrVBerVphZdOsGJRa9k5DGZTO3WJRgMSA4HRoMencmzRpNeFKkrO40ABAQEtHgeOSAAh9OCbHEg1IM+tOW2zXHanIgGb8cX0ShiMviuGeWvPgtsSLFYXFxMbGxsmwaJ/Kp8JFny2j4yZqRPY1ZzREFk8bmLsTgsrM1by33f38erM1/lnPhz3G1c79Csnwqx1jkwxwSSOiq6I7K6HVcdraLcKpxOCV1D5oCzPj8453fKOmDeFlh+O0z/O0QN6LSj+tKspYASnSUKjWO2J817em/SVA0NDY0WqPJh0GqKo8KC9ajiQWE5tBYAQ1IS1adLsNbVIup0bLdmUOeoIyUshXPizvF5nq6goLKerdmlFFTWszGrmEuf38wT32ZSZ3MyLjmcFX84n8evHMlvz+/HljsH8fqYfLbcOYj5SZXwzYPw7BD46i7FmCXoYMBMoNnER9Ap6QQ1NDQ0NDTawBAfjzRsGOYrr6TPiy8gGAyKUevPf0FuqCGSHJZMQcRR9iRuAODC7AWE2iJJClVy4AcEBTFsqpLad++6VS1eK2jOJQSIP4Oso3zpQeQWc+lCUmQQi341HIBn12Zx4FSlX/RqdD8Wu5P/++YgC978iRPl9fSNCOT2qWm4gvA8HHn8jSTBF3dA6WEI6wPXvgf6lou21zR4FAeNj0MX7Nu7ui1+OPEDVbYqwvXhTIyb6LNN/v69AMSkphFkDndvtxxWDFqmwYM6dW1/0RihFdJGSw2N3omrZlZQUBcZ0jU0NNqNa33dh72ldRqMOLLT6bVLbIhyliUJuXkN2abXFgT0EQEgCsh2CWeVrd2XN+p8zyeMYsvzDH/i+v3VnhqArjl8U0RB9Lm9JfSinicueIKpfadicVq4e8PdZJRkeLSRJJm9648DMPqiJMROZFzoTiLjgwkI0uOwSZw+UdN9NyKKSupB0aCsBb7/K3h+BOx6v8OnOlB6gAOnD2AQDVwx4IouuFn/0HPd8zU0NDQ6ia8IrabU7SwGGQx9TMhVRQhGI/qYGPI3Kwtx5rgElud8CcDVA68+a95LngXPG4kOCeDhy4Zw5dg+jS/4Xe8Tv/KPJMgScmazE4WnwPibYMz1SvHyXe/DyvtAdirGrLnPd2tKQQ0NDQ2N3kno9On0efEFTt77R49IrfjgeBZNWcRj0r/oUzmQ2NoU5h67g9jAOPexoy+ezd5133I0fRs15WWERER6nV9IOZeIpGcpyhuG7QTUbjtFyHktv6+uGd+X9YeKWHOgiPuX7mHF3edjMnR/CgyNzrP/ZCX3L93DkWJlUWDBhCQemTOMkAA9N05OZv32vVw0aTR9I70jgfzCpichaxXoAmD+BxDSck0se3EdlswyECDk/M7Pq1bmrARgcvhkdKLv8etONzjSMxWnO0JrcPdFaMmSTFmBYtCK6tNF/aKh0UPozVEtGhpqwbUmIssycvOcxK0guN6xPgxWoigi6nRITidOhwOxlQgmQSeiCw/AWWZBqrYhBerblXrQoDOQGJLIqZrGMhLBhuAW0w36m478/sqt9KwjJgoii6YscqcUbC+G/8/eeYdHVaV//HPvzKT3hFQSWoCE3jsiRZqyKOi6KFYEUUMRlxVWUVd+K1gQEXBRBNG1UAQVQUVaQKT3HnpCSCO9zUym3N8fNzPJZCYhZSBhdj7Pkwdy77n3nu/cm5kz5z3v91WoWDBgAS9tf4mDaQeZvG0yK4etJNo3GoDEU1nk3VTj6qEkpnftMt3rE0EUCG3hS+KpLFIv5dVv/S+lGxjLWVpKRnkesMXgGs3/mbKzhjYdSoCb9fe1hoIzQ6ueEQSBJk2aONzAyFF1geNqcyRdpoCWT5Ac0CqvTTJKFB2R7QZVIfLKFFXjxpyO38aW/ywCICclGe3xayhFJX+Jti5efztIzVPbDGaN6x7Jjr8PYGzXxmXBrJsJsHEqQumSJPMdazkMnvgRph6H/q/IwSyALk/C9FPw1Cb53y5P3hFNtcWRnsWKOKo2R9XlxP448rPiqNoq6jIFtSpmao1pOYZfH/mFlg97UqLQ4JMVyk9r/zSfp1GTZoS3isVoMHBqx5bKLoZywNP4Kr8AIO+3a+izNbbblvZt3pgOBHm5ciG9kPd+S6iTNkfhbtJlyky/nl3E4u0XeXDpn1zMKCTIy5UVT3Vj/tgOeLnKazDD/dy5v3srwv1uU92s85th13z5/6M+goiuVTYv3CNnZ7nFBqIKql2f8rR57EreBcDDsbYXUUmSZA5oNe3QxbzdUFiILlmu3+VajxlaBdka9FoDolKwWkx2Nz2LNcWRtTmxPy4udyYD407jqLrAcbU5gi6hXBaPKZu/WrpK7eBsZWgBKEqztAz6W2cwKTxUiO6l7bM1VboKlMffzZ9W/q0I8ZAXfRXpilDrrK2Vy3On75kkSXx87GMAHop+iJXDVrJl7BbGtBxTq/O5Kd1YPGgxHRt1JL8kn0lbJ5GYn0iTJk04uUMex7TtH4HK9e5clBZWajtoqqNVb+OD7MtAxaKzBsi+Uu1T5Gnz+PXqrwA82vpRi30NbdzjDGjVM6IoEhQUhCg61q1wVF3guNocRZckSVYZWuW1lVzLw5CtQXBVgCRPROjCQ9n62WLKv/n3PhXA0IABd2xFwg/HblgFswD+0ikCH7fSFTvaQtizEJYPwuqDCqDPFGgxUE43rohvBDTrf1dkZjnKs2gLR9XmqLqc2B9HflYcVZstXZUFtUI9Qxnf+6/o+iQBcCNeQ+KFm+bjOg0dCcDJ7VswVjKZQMz9eDa6iKt4EklnJGfDxSpX3wZ4uvD+w3JNrpV/XuWn4zfM1r210eYI3C261hxKou/8HTy2/AD934tnwdYL6I0SI9uH8vvL9zA4NsSi/W3TlXcDjn0D65+Tf+85GTo9VuUhhsISio7KC6S865CdteXaFvRGPa38W9GzeU+b2rJvXKcwJxulyoWImDbm7doLFwBQhoSg9PevdR/qislu0D/EE1Fh2f+75VmsDY6szYl9EQQBlUrVYCYB7YWj6gLH1eYougRBgFINkrH6ugTT+3UlloIKpTzvYtDrbe63au9Xaj2oN2LI02LU6JH0t/ZBVClUBHkE4esqB0JuFN2wWa8K6uee7bi+gzNZZ3BXujOtyzS6h3avcWZWRTxUHnwy5BNiAmLI1mQzadsk0jJySb2UhygKtL+3sZ16f+cpC2jlIUlS/Y0PAlqU+XGaEMQalRvZeHkjGoOGVv6t6NTI0hWgoY17GkYv/ocxGAycOXMGQ2Vf6u9SHFUXOK42R9GlLdJTopYHID6lAa3y2ooOy5MPHh0bob8hrwbRBPpbTZaJCAzy7n3b+5uSq+aFr4/YXFVuLnheUgx7F8OijrDtLSix4c3rQHWxHOVZtIWjanNUXU7sjyM/K46qrTJdlQW1AF545HESQ08iIPLzZ0fQFMnbW/bqh7u3D4VZmVw5esj2BUUFQt84/JUfI1CC9lIuhbuS0VzORZ+ntXnIwJhgxveKAmDa6uM8tvwAfefvYM2hpFppu9u5G3RVlpn+r7+0YeljXQjwtF6NfFt0Hf1KrjHw04ugK4aAaBj6f7c8rGh/KuglVI29cGlWe3uZny/LdoP3N7u/Um2m7KyI2LYoy63S1iaY7Abrt35WVoo8Lg0It7YbvBuexdriyNqc2BdJklCr1TWyRrsbqK2udevWERMTg5ubG+3bt+eXXyqvrWkiPj6eLl264OrqSnR0NKtWrapxf5s2bYogCAiCgIeHB+3bt+fzzz+32dZe9ywrK4vhw4cTHh6Oq6srkZGRxMXFkZ+fb26zZ88e+vbtS2BgIO7u7sTExLBw4UKL8+zevZtRo0YRHh6OIAj8+OOPVtcyaav48/7771dbV3x8PIIg4FapQ9MAACAASURBVO/vj0ZjmSF/6NAh8zlvJ9nZ2Tz++OP4+Pjg5+fHhAkTKCy0nv8wx6ZKNT3//PMEBgbi5eXF2LFjSU9Ptz55FTW0oCxDy1iNGlMgWw8q/d3kY4p06DPV6NKKMBRV7/hQz1AUogKtXkuWOstmmzv9/mEwGlhybAkA42PHE+geaLdz+7j48Ol9n9Lctznpxel8vVr+22/ZPQQvf1e7XedOE9zEB1EhUJxXQkGWpv7GB74RMGqRPDdoQuUBquq5CEiSxNqEtYCcnVXxb72hjXucAa0GQMUPCkfBUXWB42pzBF2m7CxPXxdU5XyMNRoNRo0e9alMQC7erUuWi08GNG1uXuFjQhIkerUZeNv6qTMY+Wz3ZYZ8uItfT6ehEAX6twwyFzxXCALzR7ck7NwqOZD1++tQnAn+zeChT+GBRUilH1SSA9bFcoRnsTIcVZuj6nJifxz5WXFUbZXpqiyo5e3izZDH2pHnehOh0IVNqw4jSRJKlYp2A+8D4Pjvmyu/YMdxKL0N+Ci/BGTrwczlp0ibf5CiQ2k2D5nQ13JRh1GCf244fctMrf+1e9ZQ+Ol4is3M9FYhPlVOltlVV94N+HmaZVX5nCtQmFHlYZLOQOG+VAC8+0fUenLvev51jt88jiiIjGg6olJtiaeOA9b1szSl9bPc6rF+FmCun2UroAUN/1msC46szYl9MVaSEXK3U1Nde/fuZdy4cUyYMIFjx47x4IMP8uCDD3L69OlKj7l69Sr3338/AwcO5Pjx40yfPp3nnnuOLVsqsS+ugrfffpvU1FROnz7N+PHjmThxIr/++qvNtva4Z6IoMnr0aDZu3MiFCxdYtWoV27ZtY/LkyeY2np6exMXFsXv3bs6dO8frr7/O66+/zmeffWZuU1RURMeOHVm6dGml10pNTbX4WblyJYIgMHbs2Brr8vb25ocffrDYtmLFCqKioqorvdY8/vjjnDlzhq1bt7Jp0yZ2797NpEmTrNoJ5gwtiZdffplffvmFtWvXsmvXLlJSUhgzxtoe71YZWqKqZhlaAILKelrdkKOpVqaWUlQS6iFnPt1U30RrsL1w606+f/x27Tcu5V7CW+XNU22fsvv5A9wCWD50OW0N3YjIiAWgaf96rDtlB5QuChpFeQOQekm2Hay38YGp3Mj4H+SMrZJCeS6xGhxMO8i1/Gt4KD24v/n9Nts0pHGPM6DlxIkThyIvsxgoy84qj+ZUFpLOiLKROy5R3pRclzO0/Fu2Irxl2WSAEQnP+7viG1R5IfC6cOhaNg98vId3fjlPcYmBrk382TSlH/+d0JN9L8Xwy/0lHLv3OI/8OQp+mwVFGeAXBaOXQtxh6Pg36PY0xqnHSej9Icapxxt8XSwnTpw4ceKYVBbUuq/lYHL7n8EgGEg/peZMab2hDkNGgCCQePIYZ//YQUFWpvVJVW7Q83ncxb1YWOxKkLPhos1MrdR868CVQZK4VjoucNIwSM4pZvJ/jzD/1/NW+8yZ6XeK7MuWwSyQf79FrYGiYxkYi3Qo/Fxxb9eo1pffdGUTAD1DexLsYXvMadDruH7mFABNOnS22Kc9L7+GrjGta90He2CyHAwIsx3QcuLEiSWm2oHVscatK/feey9xcXHExcXh6+tLUFAQc+bMscj2yMnJ4cknn8Tf3x8PDw9GjBjBxYsXzfsTExMZNWoU/v7+eHp60rZt22plVdli0aJFDB8+nJkzZxIbG8vcuXPp0qULS5YsqfSYZcuW0axZMxYsWEBsbCxxcXE8/PDDVllM1cHb25vQ0FCaN2/Oq6++SkBAAFu3brVos2fPHu655x6CgoKIiopi6tSpFBUV1fhaAP7+/rzwwgt069aNJk2aMHjwYF588UX++OMPc5vOnTszbtw42rZtS9OmTRk/fjzDhg2zaDNixAj+7//+j4ceeqjSa4WGhlr8/PTTTwwcOJDmzWvu4vLUU0+xcuVK8+9qtZrVq1fz1FOWAY6srCzGjRtHRESEOevtu+++q/H1TJw7d47ffvuNzz//nJ49e9KvXz8WL17M6tWrSUlJsWhrqqOVm5PLypUrmTdvHoMGDaJr16588cUX7N27l/3791teoJoZWjUJaFUWuKpOQAvA19UXT5UnkiSRWphar5mcOqOOT45/AsBTbZ8yWyLam8xjevoffAIRBRISi7Z8Sn5J/q0PbMCUtx2sd3wjIHoQPLQMEOD4N3B5xy0PW5OwBoBRLUbhqWr4YzpnQMuJEycORb6pflaw9YRI8VF5xa1ntxAEQUB3Xc7QUoSHk3Zdnrw4EJvN9wNv4Nkl2m59Mn1pOZuSx8x1J3hk2T4S0gvw91Dx3sMdWPd8b2LDfODIKkI+70qb7U/js+9dKEgFn8bwwEcQdwQ6jweFsuzEPhEUBnUCH8fJzHLixIkTJ3cftoJa6PXMGPEix5v8DsCuNQlkpxbhFxJKUGN5he+vSz7ks5eeYe/331KUm2NZV6vbBPSKZkCF7BcJ9JnWk4DNgjwRKzQV4M4GSJxUikZn4OPtFxm8YBe/nZEz0/tFW2amvzOmHWG+1bNFsQvXD1pvu4WFsz5HQ/522crSq284gqJ22VmSJPHzFdlucFSLUZW2S7lwHp1Wg7uPL42impYdbzSiKZ1wdmtdfwEto1EiJ1UOGgdGNPzJDydO7IkkSRSX6Kv5Y6C4RM9/910z1w7sO38H/913rQbnkH9qOuH95ZdfolQqOXjwIIsWLeLDDz+0sNp7+umnOXz4MBs3bmTfvn1IksTIkSPRldquvfTSS2i1Wnbv3s2pU6d499138fLyMh/v7e2Nl5dXpT/ls5H27dvHkCFDLPo3bNgw9u3bV2n/a3PMrTAajaxfv56cnBxcylm5Xr58meHDhzNmzBj279/P6tWr2bNnD3FxceY2kydPrlJv+demIikpKWzYsIEBAwZU2ubYsWPs3bu3yja3Ij09nc2bNzNhwoRaHf/EE0/wxx9/kJQkf96tX7+epk2b0qVLF4t2Go2Grl27snnzZk6fPs2kSZN44oknOHiw7PP1nXfeueXrZbrOvn378PPzo1u3bubjhwwZgiiKHDhwwOLaYukA4ujRo+h0OgYOLHPXiYmJISoqyuoZuXUNLVNAq3qWgQCC0va0emXbrdoJAuFespVkka6IXG1uta9tbzZe2khSQRL+rv6MbzP+tlyjMEfDzv+eM/8uIND61D1M+/kVinV37yK0sBZ+QAMJaJmI7AE9SrMbf54OJZUH5jOKM9iRJAe9/tr6r3eid3VGeesmTm4noigSHR3dYIqq2QtH1QWOq81RdOVllAa0gsomRERRpJl/Y4qTLoAIHp1DMBQUYMiVBwsJWUkY1Vo0LgbONy1AEmDBkQUMbTq0zsUv1xxKslkjYlyPSP4xLAZ/U42Isz/JtjcWCPD0JghoZvPcjnLPKuKousBxtTmqLif2x5GfFUfVVl1dpqDWjanT5KAWEPH+ewz6SyfOfJlA47zW/LL8BPdPakFmcrnaVpLEvnXfsm/dtwC4eXrh7uODu7cvPuomdFAYEcoVOJaQUAZZBz3CfN2ZN6Y9/9xwGkPpZJ8EHLyazehOthd+/K/fszvFtrPpvL3pLEnZ8kRFr+YB/Osv7Wgd6k1qnpprmcU0DfK4ZTDLrroubYOd75T+IgCSHMyqwsK56FAaORsuliUN1jKYBXDi5gmuF1zHXenO4KjBlWpLPFlmNyiU26e7fh2puBjBxQWXpk1r3Y+6kn9TjUFvRKkS8Qm0vn8N7Vm0J46szUn1UOsMtHmj5rZ3JowSzPnpDHN+OlOj486+PQwPl+pP5UVGRrJw4UIEQaB169acOnWKhQsXMnHiRC5evMjGjRv5888/6dOnDwDffPMNkZGR/PjjjzzyyCMkJSUxduxY2rdvD2DO+JEkCVdXV44dO1al9aqPT5mdWFpaGiEhIRb7Q0JCSEuzbSdc1TH5+fmo1Wrc3au/EOLVV1/l9ddfR6vVotfrCQgI4LnnnjPvnzdvHo8//jjTp0/HYDCgUCj4+OOPGTBgAP/5z39wc3Pj7bff5u9//3u1rwkwbtw4fvrpJ9RqNaNGjbJZu6tx48bcvHkTvV7PW2+9ZdGvmvLll1/i7e1t03bP1fXWtYqCg4MZMWIEq1at4o033mDlypU8++yzVu0iIiIsXospU6awZcsW1q5dS48ePQA5APjXv1Y9QR4eHg7I9zo42DJjWalUEhAQYPWMmIaGqWlpuLi4VO+5Ks3QotIMLdly0GgwYDQaq/X+LihFFP5uGHLKrNgU/m7VDmgBuChcCPYIJr0onfSidLxcvFCJKvP+6tyzulJiKGHZyWUATGg/4bZl6GSeS6biYjUBBQUXbzJlxxSWDl6Km9Lttlz7dhJamqGVnVpEidrQcMYHg+fA+c2QmyiPe4f922az9RfXY5AMdAnuQit/27VZG9q4xxnQqmcEQcDX9/akcdYnjqoLHFebo+jKK1217VvOclAQBMQEeRLFrVUACh8XNOcuA6AICOD8CXkFUVKwGqn0s9UoGblecL1OAa3UPDWzNpyi4iK6z57oytC2pefNS4atb8Dp9TbOIMn7KwloOco9q4ij6gLH1eaoupzYH0d+VhxVW0102Qpq/e3deUzo8RKBO8MhBfZ+fxirD8ZyaIoK0RQVkpOaQgqg9dpC96DhCIKAJBk5nLWFIfo2eGP95f7R7lHc06oR1zKL+fHYDdYcvs7MdScJ8XGjV3ProtbOe3b7SM1Ts/9yFuuOJLP3slzoPNTHjdfuj+WBDmHmyc8wX/dqZ2XZTVfGOVj3DEgG6PgYDHoNsq/KmVmVBLP0eVrLYBaQ9/MV3NsGofSt+USTyW5wcNRgPFRyFqEtbYmnjgHWdoOaBLl+lmt0NIKy/r7SZ6UUAuAf5mm2fypPQ3gWbxeOrM2JY9GrVy+LgFPv3r1ZsGABBoOBc+fOoVQq6dmzp3l/YGAgrVu35tw5OYti6tSpvPDCC/z+++8MGTKEsWPH0qFDBwRBQKlU0rJlyzuuqbbMnDmTp59+mtTUVGbOnMmLL75IdHSZM8uJEyc4efIk33zzjXmbJEkYjUauXr1KbGwswcHBVkGXW7Fw4ULefPNNLly4wOzZs5kxYwaffPKJRZs//viDwsJC9u/fz6xZs4iOjmbcuHG10rly5Uoef/xx3NwsAwOme1Ydnn32WaZNm8b48ePZt28f69ats7BBBDAYDLzzzjusXbuWGzduUFJSglarxcOjLDs+ICCAgICAWumoCvMzXTqmrI4uQSy1HKwkQ0sQRQRRRDIaMer1iOWy96pC4alCMhgx5pcguCpQeKpufVAFAt0CydPmodFrSCtKI9I7Uu5TDe5ZXVh3YR1pRWkEuwfzaOtHb9t1si/aCF5LBvxKCjiQdpkZ8TNYNHARKkXNX8P6xMPHBd9gd/Iy1KRfzadp+6D67pKMqzc8sBC+fQT2fwLtxkKEZaal3qjn+wvfA1VnZzW0cY8zoFXPGAwGTp48SYcOHVCYVgs4AI6qCxxXm6PoyjNbDpZNjuhL9OQduIEC2W4QoKTUblAZGUHumUsAJIWUpTiLgmgeRNQGdYmBdzaftzln5+2mAp0a9i6GPQvBnFpdukLYxC1sbxzlnlXEUXWB42pzVF1O7I8jPyuOqq2muioGtQBm/3MGM5P/j+HnJnL1pB4EwSKoJYgiEz5ejsrVDXV+Hur8fIoL8rhx4iBHt28nzKM5kZ6tOZ97kCsFJ8m9fBLvwEE2r28KkPRsFkC+Rsevp9OY9NVh1r/Qh5Yh3nXSdrdQ37q+3HuNtzaesUhkmnhPC6YMisbTtfZfP+2iqzADvvkraPOhSV8YtQiULuDbuMrD9JlqiyEaYLa/rGlAS2fQ8ds1+W9jVHPZbtCWNk1hIemX5TFqkw6dLM6hPV8a0IqJoT4x1c8KDLe9kru+n8XbiSNrc1I93FUKzr497JbtJElCrdaQVwL3Ldxt4dwhCrBtxgBCfaufkeCuurPP23PPPcewYcPYvHkzv//+O/PmzWPBggXExcWhVqtvGdwZP348y5bJmR+hoaGkp6db7E9PTyc0tPJFpJUd4+PjU6PsLICgoCCio6OJjo5m3bp1tG/fnm7dutGmTRsACgsLef7555kyZQoajQY3Nzdz4CQqSrZLnjx5Ml9//XWV1yksLLTSEBoaSkxMDAEBAfTv3585c+YQFhZmbtOsmbyItX379qSnp/PWW2/VKqD1xx9/kJCQwJo1a6z2yc+inNVWVVYdyHW7Jk2axIQJExg1ahSBgdYLg95//30WLVrERx99RPv27fH09GT69OmUlJSY27zzzju88847VseW5+zZs0RFRREaGkpGRobFPr1eT3Z2ttUzYlpEEdwohJKSElJSUggLK1swY/O5UpRmllSSoSUIAgqlEn1JCQa9DmU1A1oAoqsCIyDpa1cDy2Q9eCX3CvnafApcC/B28a7RPastxbpilp9cDsDzHZ+/bRlSJWo9J0+XBhMlqfT7gIGYi6vpHfcqJ068xh83/uDVP17lvXveQyneXSGLsBa+5GWoSbmUS47+esMZH7QaCu0fgVPrYOMUmBQP5QKGu5J3kVGcQYBbAPc1ua/S0zS0cc/d9XQ4KMZKVgfc7TiqLnBcbXe7Lp3WQHGePHjyKWdHpL2Yg0IjIXoqcYuRVwfpricDUBQcTHHGNfQKidQgOU1cFETe7P1mrbOz4hMyeP3H0yTnWNf4UAgQk7MDfn4bckstl6J6w/D5kHZS9raVDLe0vTFxt9+zynBUXeC42hxVlxP748jPiqNqq6muikEtb2DIuG6czI2nQ+q9uPsNQ5P7O5JkRBBF7psYh28jecGJh0/Zyr8w11yObd9GljaFSM/WeKr8AAlflfXna0VEUWDho53IKDjAkcQcnv7iEBte7EOIj+WXdOc9sx+FWj1Ldlxk2a4rFtsl4Kk+TeoUzDJRJ106Nax+DPKS5AVDj34tB7OqgS2bS4RKtt+C3Td2k6fNo5F7I3qGlWVFVNSWdOYEkmQkICIS7wDLlb6aC3JAy621bVuYO4UpoOVfSUALHPdvDBxbm5NbIwhCtaz/JEkCvUigr4eFNa6pdmDzRpXXXLIHFWsP7d+/n5YtW6JQKIiNjUWv13PgwAGz5WBWVhYJCQnmIA/ItoWTJ09m8uTJzJ49m+XLlxMXF4ckSTWyHOzduzfbt29n+vTp5m1bt26ld+/elR7fu3dvfvnlF4tttzqmOkRGRvLoo48ye/ZsfvrpJwC6dOnC2bNniY6Opri4GA8PDytttbEcLI/pfUOr1VbZpqr9VbFixQq6du1Kx44dbe6vbg02pVLJk08+yXvvvcevv/5qs82ff/7J6NGjGT9+vLnfFy5csHh2amI52Lt3b3Jzczly5Ahdu3YFYMeOHRiNRossQigLaHXs0BmVSsXOnTt57LHHAEhISCApKcnqGREUZRlakiTZfG4VSlVpQEtfZZ8rIpgCzQYjksGIoKi5LZu70p1A90Cy1FmkFKYQ7ReNKIg1rptXU747/x1ZmiwivCJ4KPqh23ad/RuvUFSgx704g44nl6J188ddfZNmc17Br/1QFgV4Ebcjjq2JW3lz75vM7TsXUWgY9nbVIayFH+f3pZF2JY8mUfXdmwoMnw+XtkP6adj7MfR/xbxrbcJaAB6MfhAXRdXj4oY07nEGtJw4ceIw5JfaDbp6KHErl+ZdfEBOa3aNDTB7GZckyxlaKaXNkhsVo3JxZdGAD2gd0LpWwayMAg1v/3yWTSdTAQj3deO+NiFs23+MKCEVJUY+CNuO/6bSIqk+EXDf23LaryBAeCdoMRiyr1Rpe+PEiRMnTpw0dCoGtR6S7mN7nyuE50UTVNwGF59IjIZcFEo/FK7tbJ+jWSfuC7vEydymAPi7BgMCFy7dpFtnm4dY4KZS8PmT3Rj7n71cySzimS8OsXZyb7zsEFhxUkaRVs+X+66xfPcVcoqtC6kbJbiWWVxta8HbgtEIP74IyYfAzQ8eWwce1bdAUni7ILgrkdSlE1wC+I9pWTu7wcuy3eDIZiNRiJWvcE08abIb7GS1z5yh1bqeM7RSTRlat3dC3okTR6G8NW51agfag6SkJGbMmMHzzz/P0aNHWbx4MQsWLACgZcuWjB49mokTJ/Lpp5/i7e3NrFmziIiIYPTo0QBMnz6dESNG0KpVK3Jycti5cyexsbHm80dHR1c7c2TatGkMGDCABQsWcP/997N69WoOHz7MZ599Zm4ze/Zsbty4wVdffQXIAZElS5bwj3/8g2effZYdO3awdu1aNm/eXOfXZtq0abRr147Dhw/TrVs3Xn31VXr16kVcXBzjx48nMDCQc+fOsXXrVpYsWQJQI8vBX375hfT0dLp3746Xlxdnzpxh5syZ9O3bl6al9Q+XLl1KVFQUMaUZt7t37+aDDz5g6tSp5vMUFhZy6dIl8+9Xr17l+PHjBAQEmDPHAPLz81m3bp35/taVuXPnMnPmTJvZWSA/P99//z179+7F39+fDz/8kPT0dIuAVk0sB2NjYxk+fDgTJ05k2bJl6HQ64uLi+Nvf/mYOet24cYPBgwfz2X8+J6Z5B7y9fHj22WeZPXs2YWFh+Pr6MmXKFHr37k2vXr0sL1C+9o/RWFZTqxyKUns/g956PFMVgiiAUgS9EUlXu4AWQLBHMPkl+egMOjKKM+pc0/1WFJQUsPL0SgBe7PTibbP6S7+Wz6md8qLy1hdXEzlxHJlLlyIYjbiXBi/7RPTh/QHv80r8K2y8vBF3pTuv9XzttmWm2RtTHa2b1wqINDSwcZFnEAyfBz88D/HvQuxoCIomMT+RvSl7ERB4pNUj9d3LGnH3hDqdOHHi5BaY7QbL1c8q+CMZ7YVcANRHMig6JAe3TBlayQXyvqQQNaOjRzMgckCNBw1Go8Q3BxIZvGAXm06mIgowoV8zts4YwL8ij7LHbSrfufybr1zmEZJ1EBSucM8/IO4QtH9YDmaZ8I2AZv2dwSwnTpw4cXLXYwpqoVJRtGUrc3f4szdqPRISguiNQhUJgjfx35ynsFwxbTO+EbR/8jUeCP8dAC+lHwpBxe71G0g6faJaffD3dGHVMz0I8nLhbGo+L35zFJ2h4awuvJsp0upZtusy/d/byXu/JZBTrCPS352K0w4KQaBpkIfNc9wx4ufBmQ0gKuHR/0JQ9K2PKUfJtTw5mOUiEvRsW0Jn9cCze80nmfK0eexK3gXAqBajqmxrDmi1t4zeGgoL0SXL41jXeszQMuiN5KbJttkBVWRoOXHixJIwX3d6twi8Y0H+J598ErVaTY8ePXjppZeYNm0akyZNMu//4osv6Nq1Kw888AC9e/dGkiR++eUXVCp5YttgMPDSSy+Zgw2tWrWyqv9UXfr06cO3337LZ599RseOHfn+++/58ccfadeubGFLamoqSUlJ5t+bNWvG5s2b2bp1Kx07dmTBggV8/vnnDBtWZve4atWqWk16t2nThqFDh/LGG28A0KFDB3bt2sXFixcZOnQoXbp04Y033jAHU2qKu7s7y5cvp1+/fsTGxvLyyy/zl7/8hU2bNpnbGI1GZs+eTadOnejWrRtLly7l3Xff5e233za3OXz4MJ07d6ZzZ/nzYMaMGXTu3NncbxOrV69GkqRKrQoHDhzI888/X+3+u7i4EBQUVOlr+/rrr9OlSxeGDRvGvffeS2hoKA8++GC1z2+Lb775hpiYGAYPHszIkSPp16+fRcBTp9ORkJCAWiPP/UiSxMKFCxk+fDgPP/ww99xzD6GhoWzYsMHq3IIomudepEoy4BQqOaBl1NUsQwtAUMlT7JKu9uNMURAJ95Sft2xNNgUlBWiMGnTGmgXYqstXZ78ivySf5r7Nub/Z/bflGkaDkfiv5Zp8IWkHieocQcDzkzCarD537DC3HRw1mH/3+zcCAmsS1vDhkQ9ve4aavfAP9cDNU4VeZ6Qoy7atZb3S4VFoMQgMWvh5GhiNrEtYB0C/iH409q7afruhIUh3y5NRz+Tn5+Pr60teXp5FynRdkSTJypvXEXBUXeC42hxB17GtSexdf4mW3YIZ+lw79Hla0uYdtGwkQOisHiT+dTQ5qSnsio3CKEisHpLMmrHrifav3gRHap6aq5lFGI2wcNsFjiTmANA+wpd5Y9rTLsIXcq/DR+2xLLogwLNbIKqnzfPWBEe4Z7ZwVF3guNpul67b9dnrpHrcjtffUf8GwHG12UNXwc6dJE+dBjod53v2IcX9cas2D77cmYjW/rZPkHKclI+TMOLPJf/DHDm6HXdvH8bP/wifoOqtkj5xPZe/fbYftc7AX7s15t2xHQCc96wGmMY+oT5ubD2bzqe7r5BdJFs9Nw30YOrglvylYzjrjyZbWWo92r3u3iu11nViDfxQOnk7eil0Hl/ja2d/f4Hiw+l4dAsh4OHaB5HWJqxl7v65tPRvyYa/lE22VdSWm5bKimkTERVKXlr5HS5uZRPfxUePkvjY4yhDQmi5K77WfakrWTcKWT33IC5uCp5beI/Ne+Ko74twe7Q5xz31S1Wvv0aj4erVqzRr1gw3t5rVl5EkyWxvdqf/Du699146derERx99ZPdz16euirz55pvs2rWL+Ph4u5yvIWmzJ02aNOHNN9/kmWeeuet1aYp05GeqUbkq8AvxqNb90mdno0tJMf+uCg9HWSF7TF1YQF56Gi5u7gRE1GyC35CvxZBfguihQhlQtzpUNwpukKvNtdgW7hWOv1slY+VqUPF9LEeTw/D1wynWF7NgwAKGNh1apz5XhmmeTqkrpO/5RcT8uBpFUBAZX35J9vx3ce/ShabffmNxzPoL63lr31uAnDn2QscXbkvf7M3mT05y7WQmPUY3odvw5g3v7ywnET7pBbpiNCPfZ8iVr8jT5rFk0BIGRA6o8tCGNufj9NtoALjUoNDg3YSj6gLH1Xa36zJlaPmUZmjpM23U6fMVPgAAIABJREFU2JBAn1FESUoK6X7yatLUQA0dGnepdjBrzaEkZm84ZVHQ19NFwd+HtebJ3k1RiAKknoT1E7FZQdxQgr242+9ZZTiqLnBcbY6qy4n9ceRnxVG11VWX98CBNP54EclTp9H0+FlSehmhvCe+IOEbXMVK9fBOqLxOoy30p3OwN9ebtSDj6mU2LniHR//1LiqXW9u+dYz0Y8ljnZn41WHWHk4mws+DR7pFcOVmIc0bSYT71XMGkZ2x97Noa+wD0CTQgymDWvJgp3CUpfY6t9NSq8a6EvfBxjj5/32n1yqYJemMqE9lAuDRuXoB1MrYdEVelT+quXV2Vnltiafk7KzwVjEWwSwAbYLJbrCe62eV2g0GhHtWObHhqO+L4NjanNiXBjepaScaiq5ff/3VbAloLxqKNntx5swZfH19eeqpp+q7K3ZBLK2hJZUOTG51v4w6nUUwC0CXkoLo7Y2oKrPZq63lIJTV0ZJ0dc/OCXQPtApopRSm4KXyspst4MrTKynWFxMTEMOQJkPscs6K5GeqOfjTZQCiL/9I5OwZKBs1QpIkfIcMIXv+u6iPHUOflYWynLXl2FZjKdYX896h9/jk+Cd4KD14qm3Df3bDWvhy7WQmNxOL6rsrtvFvAoPmwJbZ/L53Pnn+noR7htMvol+1Dm9I4x6n5WA9YzQaOX78eIMqrGYPHFUXOK42R9CVf1O2PTFZDir9bExwCYCxEHQ60koDWkkhxfwt5m/VukZqnppZNiZ0vnmuJ8/0bYaiJB9+fRU+GwCZ521cXyHXx7IDjnDPbOGousBxtTmqLif2x5GfFUfVZi9dpqCWm6GQmIRvQSo7X55LJvliTpXHqyKD5P4kpTP65dm4e/uQfuUS2z//pNpWJINjQ3h7tGxrtHDbBfrO38n4FYfo9+5O1hxKusXRdw/2fhaPJeUwa7312Oe1kTFsnzGAh7s2NgezTNwOS60a6cq7IWdmffc3eSFR7CgY/Gatrqs+l4WkNaDwdcW1mW+tzgFwveA6xzKOISAwstlIi30VtSWePA5Ak/bW9bM0pfWz3Oq7flZKaUArrHK7QUd9XwTH1ubE/hQXF9d3F24LDUXXwYMH6dGjh13P2VC02Yu2bdty4sQJNBobFs93IaZ1Uaa34Fvdr8osBiWt5WJjhbLUalOvr7HVXXnLwbqaoRmMtoNiJUb7LI7OKM7gu/PfATCl8xREwf7hAUmS2PXtefR6Cb/ci7Rq54XP/fL4x2g0ciY9HdfYWJAkCm1kVz7R5gmmdJ4CwAeHP2DdhXV276O9MdXRSk7IwmBogLaDAD2fh/AurHGXg7cPN+qKoiDtloc1tHGPM6DlxIkTh6Gshpa8ylqfW2HQUlrA25CbhkapINddDngVN/FgUNSgW54/p6iEf3x/EltjE3WJAU6uhSXd4cAyeaKu7UNw31w5iAXyv6M+ctbHcuLEiRMn/5N4DxxI8dtTCM7YR5/9c1DlrkIrqvHVNmLv+ktVHuvSpi0AOk0QPporPDD9VQRB5Myu7Rz/vfqF4cf3asITvZoAZTnURgn+ueE0qXk2Mrv/RzEaJXYmZPDcl4cY88leq3xzgHYRflaBrAbB0a/go3ayzaAmF3yj4KHPLIvB14DiYxkAeHRuJBd9ryWbr8jPac+wnoR4hlTazmg0kHRGrhHXpENnq/1lGVqta90Xe2AOaIU3sMLnTpw4MRMfH39b7AadOKlvTJ/H1Q0cCa62s/kFV8uME1GhMGd7GfQ1rKOlEMDUrzrU0QJwUdjOhHER654hc7P4JnP3z0Vr0NKxUUf6R/Sv8zltcfnoTZLO5iAY9bRJ20zYv960yqTzGjQQgILtO2ydgontJzKh3QQA5u6by8+Xf74tfbUXwU28EZUCOrVE/s0GGjwWFZy7dwYn3VxRShIP7fqPPG4++lV996xGNMBvIE6cOHFScwwGIwXZcgDLlKGlvSSnaLvG+pM9wJXgmV3x7B6KLvk6GT6eIAjc9NMyqtPDqMTK07YlSeKn4zcY8uEu/rgoW86EkkVv8QyhZNFavEGX+Cdgw0QoTIeAFvDED/DIKug7Faafgqc2yf92efL2vhBOnDhx4sRJAyZi2F/4cKwSpS6X/scP4Z31JQDpB3UkHKh8daAqSq5xoJOaIh37lqh2Hen/+NMAxH+5nOTzZ6rdh+FtQ622GSSJa5mOtRq7NmQVavlP/GUGfLCTZ744xLZzGTaDWQpBoGlQA7RpzLshF7oulwFIfjKoq84ArAxDYQmaBPnYutgNSpJUZjfYwtpusDzply+hLSrC1dOTkBaWdtiS0YjmwgUA3GLqN6CVlVIIQEBE5RlaTpw4ceLEye3AFBiRKqaPV4KoUqEKD7fYpgwOtrAbNJ1XLLUdNNbQdlAQBIssrbqgUqgI97Lsr0JQyI5DdaBYV8yELROIvx4PQOdGnW+LvaZWrWf3N2cBaJL0Oy1mvWhhKWjCc6C8sLxo716MauuFZYIgMK3LNMbFjENCYs6fc9iWuM3u/bUXSpWCRlHeAKRdyavn3lTOmpQ/ALivqJggo1EeN/88XR5H3yU4A1pOnDhxCAqyNEhGCaVKxMNXXrWiKQ1oubUJRBesQOErr8opuX6dNF/5y3dyiIaHWz5c6XmTc4p5ZtUhpq0+TlZRCa1CvPhPmzP86TqV71z+zV7XKfzq8iquyXtB6Q6DXocX90GLchlfvhHQrL8zM8uJEydOnPzPE+oZyqgn/8WHY5XoReh34hQBJX8CEP/1eTKTC20epwzyAAVIeGA4vRd0aro98BCte/fHaDCwaeF8CrOzqtWH5sGe2Eq0WX/kOnnqmtdMuJtJzVOz91Imv51OZdrqY/Set4N3fzvP9Ww1Pm5Knu3bjG0zBvDu2PYoSic8FILAO2Pa2dVO0G5kXrQMZoH8e/aVWp1OfTITjBKqCC9UIbUP3JzKPEVifiLuSneGRFVdp+LayaMARLXtiCgqLPbprl9HKi5GcHHBpWnTWvenruhLDGZnhKosB53875Gdnc3jjz+Oj48Pfn5+TJgwgcJC2+/rJjQaDS+99BKBgYF4eXkxduxY0tPTzftXrVolTxTb+MnIkDMo4+Pjbe5PS7u1jZITJ07uPspnTFc3qKUMCMC1dWtEj9IFOZVkd5W3Haxxv+xYR8vfzZ+W/i0JdglGJaowSAauF1zHWHGcU010Bp1VXa6vzn1FWpH93yf3rb+IutiIR3E67WIkfIYPt9nONaY1qvBwJI2Gor17bbYRBIFZPWbxYPSDGCQDM3fPZM+NPXbvs70Ibe4DQNqV/HruiW0KSgr45fp2AP5aUO7zWTLUerxcHzgDWvWMKIp06tQJsZYWGA0VR9UFjqvtbteVX/ql2qeRO4IgYCzWoUsuAMC9pb+FtqLERLK85EmYyC5daOTRyOp8BqPEij1XGbpwN/EJN3FRiMy4rxWbnmrOiKvzUAjy4EcUQMQIzQfCSwfgnpmgvHVxentwt9+zynBUXeC42hxVlxP748jPiqNqux26xrQcw7xZW/njpd7oRei49zsaiRnodUZ++/QU2mLroJKgEMwBBZ02GM5vRhAEhk2eRlBUU4pyc9i4cB563a0DUmG+7swb0x5F6VyIaUrk+6M3GPRBPGsPX8dYzcmRhkh179ny3VfoM28Hj31+gMlfH+Wn4ymUGIx0bOzLew934MA/h/DGqDZEB3vxaPco9swayHcTe7Fn1kAe7R51h9SUcUtdkgQnvrXeXof6pUVmu8HaZ2cBZoucQVGD8FBZZ7aV12aun9XBRv0sk91gdDRC6Qry+iAnrRgkcPNU4eFTuf2Ro74vgmNrqwuPP/44Z86cYevWrWzatIndu3czadKkKo95+eWX+fnnn1m3bh27du0iJSWFMWPGmPc/+uijpKamWvwMGzaMAQMGEBxs+beZkJBg0a7i/vrCw6MBZrTaAUfVBY6rzVF0lU8qkqTq6xJVKnOmkCEvz6ZloaL089VQjTGlVb9MGVol9qkzpBJVBHkH0cSnCaIgotapSSlMqVWNrmK9tROBUTJyveC6PbpqJu1KHmf2pAAQm/YLEW++btXG9BmqUCjwGiQvBi/YYdt2EEAURN7q/RbDmw5Hb9Qzfed0DqUdqlM/C7IySTp9koKsTLu2DY/2AxpuhtbPl39GbSwhukRHV025Mi23GC83tHFP/Y2CnZgpKSnBzc2tvrthdxxVFziutrtZV1n9rFK7wSt5IIGykTsKX1c0Go1ZW2LyNSRRQKsq4ZHeT5nPkZqn5mpmEXqDxILfEziRLH8A9WgawDtj2hMd7AXHv7Ne+QvQ/xXwb3KbVVpzN9+zqnBUXeC42hxVlxP748jPiqNqux26Qj1D+euz7/Fq+mCmf19CzO4PKOz3Fnk3Yduqc4yc3N6qXpEqzAtdShElxma4n1gN7R9G5ebG6Fde4+t/Tif1wnl2rvqU+ybG3fL6j3aPon/LIC6m5tIyzI+rmcW8ufEMlzIK+cf3J1l9MIm3R7ejXYSvXXXfKSq7Z5dvFvL7mXR+PpHC2VTLlaMCsPLp7gyMsT0BHObrXu9ZWVU+i/Hz4eQa+f+CKI/X6lC/VHezGN31AhDBo6P14qdqn8eg47drvwEwqnnldoMlJSWIkpHUi+cBaNKhi1Ub7fnSgFZMTK37Yw+yTXaD4Z63tCpy1PdFcGxtteHcuXP89ttvHDp0iG7dugGwePFiRo4cyQcffEB4BbsvgLy8PFasWMG3337LoNJJzS+++ILY2Fj2799Pr169cHd3x9297L3n5s2b7NixgxUrVlidLzg4GD8/v9uksPZIknRbbL3qG0fVBY6rzVF0CYKAIApIRkn+Eam2LtHLC0QRqaQESa1GqBAMMwe0apOh5VJmOWiv11qSJFwULkR6R5KYn0ieNg9XhavNhdmVUVhSSGaxdTBGFEQivSPr3EcTBoORHSuOAwKhaftpM/NJlP7+NtuaPkO9Bw8i5+uvKdwZj2QwICgUNtsrRAXv9H8HtV7NruRdxG2PY/nQ5XRo1MHcpiArk5zUFPzDwvEODKq0n6d2/M7Wzxab79F9k6bQftDQOrcFCG0uf3fISS1GU6TDzbPy8iZ3GkmSWJMgj5UfaTIcIeUrOTOrmuPlhjTucQa06hmj0cjZs2fNkWlHwVF1geNqu9t15ZXL0IJydoMt/a20JRfng5c7xWEqOgfLxbbXHEpi9oZTlF+Q7e2mZPaIWP7WPRJRXwzb3oI/F1tfvA4rf+vC3X7PKsNRdYHjanNUXU7sjyM/K46q7XbqCnIPImzoKD4w/sDMH4ppe2QxR7v+nWsnMzmyJZFuI5patFeVWpvppGZweTUUpIN3CH6hYdw/ZSYb3v0XJ7f9RmiLVlV+0TQR4u1K6uVUQrxDCPfz4Jep/fniz6ss2n6Ro0m5/GXJHsb3asL4nk3ILNLSLMiz3gM61eFGTjHbDpxgSM+OhPt5cOpGHlvOpPH72XQuZVRu/SUBbqqG++xW+SweXA675sv/v38BtBoh26YENK+15XNxaXaWW0t/FN61L8K+58YecrW5BLkH0TOsp802Jm0+Rh1GgwHfkFD8QqxrvWkuyAEtt9atat0fe5CdWgTIAa2qcNT3RXBsbbVl3759+Pn5mYNZAEOGDEEURQ4cOMBDDz1kdcyRI0fQ6XQMGVJmxRkTE0NUVBT79u2jV69eVsd89dVXeHh48PDD1rbxnTp1QqvV0q5dO9566y369u1rJ3V1Q61WO0xmTHkcVRc4rjZH0iWKAgajhNEooVVrqq1LUChQeHtjyMvDkJdXZkFYikJVB8tBpSivEJIkMEigrHtAy3TPvFy8CPMKI7UwlYziDFwVrvi4+tzy+FxtLimFKRgxohSV5iCbKIi82ftNQj2txxu1oTBHw8GfL5OTZUClK6Rzi0J87rvPZtvyn6Ee3boh+vhgyM5GfeIEHl2sF/SYUIkqFty7gJe2vcSBtANM3jaZL4Z9QeuA1laBp37jniIipi1FudkUZmdTlJtNUU42uelp3ChXe1eSJH7/9GP2b1iNytUNhVKFQqlEVCqRJCMpCecs2m5dvoSmHbtUGjBz9VTi5iuiyTOSdjmPph0qD6zdaQ6nH+ZK3hXcle6Muncu9JxZ7fFyQxv3OANaTpw4cQjMGVpBpRlapQEt12jLFXqanCwy3WVLwDYD70MQBFLz1MzacMrKQvnb53rSPsIXzv4EW/4J+aUFEoPbwM3zdV7568SJEydOnPyv80SbJ3j48k8sGAP/+CGFVue/43zMeA5svEJwE2+i2pQVkDYHtMQY+TP41DroI2djNevcjb6PPM6fa79m+4pPCIpqQlh06xr1xUUp8vyAFozuFMG/fznHzydS+GpfIl/tSwRkm+F5Y9rXi91edSm/QOetXfH4uCnJ15RNyKgUAr1bBNGreQAfbEmwWMijEASaBt2Fk1ynN8AvM+X/3zsbuj8n/78OYzPJKJkDWnW2G7wi2w2ObDYSpVj11++kU6V2g+2t7QahXIZW6/rN0MpKkQNagbcIaDn53yItLc3K4k+pVBIQEFBpLau0tDRcXFyssqpCQkIqPWbFihU89thjFllbYWFhLFu2jG7duqHVavn888+59957OXDgAF0qmRzVarVotWV2S/n5ctaqwWDAYJDr3wiCgCiKGI1ytoXpx7TPlu1Xxe2V/b82VPead2o7OJ6m8ttrq60h9N3W9rroqu++29puCsyUt4murjbR19cc0FKGhFh4GJZlaOkszlfdPgpKEUlnxFhiQFRYB7Tq8nfm7+qPVq8lW5NNcmEyzcRmuCndKj1HpjqTjGJ5POPl4oXoLrJ8yHJStClEeUcR7hNufn8rf47y73sVt5veH8tvP78vjZ1fn5dXRwGNChKIel8em1VsL4qi+bwGgwEUCjz796dg82YKtm3HtWNHi/YKhQJJkjAaZackJUoWDljIizte5PjN40z8fSJLu39oDmaZXq8/vl1l87WsjPybGdVqJxmNZKUk4+FXlnlmsuEzGo0YDAa8QxRo8oykXM6lSftAc98r01R+e8XXvbLttblPaxPWAjCi6Qg8FB4YvDwQfcIRBMHmfTJpgrL7aHovsZemitetLndtQGvp0qW8//77pKWl0bFjRxYvXkyPHj0qbb9u3TrmzJnDtWvXaNmyJe+++y4jR468gz124sTJ7SQ/szSgFeyOPkeDPlMNIrg296X82+aOn1dhUIi46PSMHvwcBRodc348bbMeqD7jAuz4N1yJlzf4RcHw+dB6JOSn1HnlrxMnTpw4cfK/TuuA1vQM7ckBDnB42iC6fbyTvJRmpIb3ZeuKMzzyz+74BMqTli6lAS2D3h+jwgPxxGpzQAug50N/Jf3qJS4d2s/GD+fxxLyP8PCtufVUqK8bi8d1ZmibYKZ8d9y83SjBq+tPcTG9kOHtQukY6YdKcWd85E22yBWzxCRJIjlHzfHruey9lMl3hyzrIORr9LirRAbFhjC0TQgDY4LxcZNXHgd6uvDPDacxSBIKQeCdMe3uigw0Cy7vhA2TAEkOZA141S6nLUnMx5CjRXBV4FYuqFpT8kvy2XV9FwCjWlRuN2gi6bSpflZnq32GwkJ0yckAuNZ3htaN6mVoOXEMZs2axbvvvltlm3PnzlW5317s27ePc+fO8d///tdie+vWrWndumwRQ58+fbh8+TILFy60amti3rx5/Otf/7LafvLkSby8vAAIDAykadOmpKamotPpUKvVGI1GVCoVLi4uaLVai8k4FxcXVCoVGo3GalIP5EyL8pN67u5y/efiYsvaNh4eHkiShFqtNm8TBAEPDw8MBoNFIE4URdzd3dHr9ZSUlJi3KxQK3Nzc0Ol06MrVAlIqlbi6ulJSUoK+XAZKTTW5usqLRDUajUNpUiqVaDQaAHNfHUFT+WdPrVY7hCYJeZtWo0XpKmA0GhFFsXqaFApEUYGk16POyUEqtVETRRGVsixDy3SummhSiBIisu2gVqz9fQLM9m7l++4j+FCiKqFQV0hifiLhruEoBIXVfcrWZZOvlwP1Ae4BeBm9uKK7ws3Em6hQUVRcBD7ywoLU1FTz+U3ve0lJSWRlZZm3h4WFER4ezpUrV8wLAAAa+YWx87/nKKtKCykBncko0BMeIL+nltfapk0bc4bPqVOn5NeseTNcgfzt20kePMjcVhRFOnfuTH5+PpcuXbJ4XZYOWcrTm5/mYt5FPlk+m2jJupa9ytMTd78AvP0DCW4ciQ4BtbaEyzu3QPmZQkGg7YOPonRxQzIaCAoMwNPDg4tnz3L+t58szimIIqnZuWQdL/uO0KZNG1xcXDheus07VMnNCzrSLuWh0Wg4e/ZstTS1bduW7OxsEhMTy+63jw8tW7as833yDvVmW9I2ADpKHc19jY6OxtfX1+Z9Kq/JhNFoRKfT2U3TxYsXqQ13ZUBrzZo1zJgxg2XLltGzZ08++ugjhg0bRkJCgs2in3v37mXcuHHMmzePBx54gG+//ZYHH3yQo0eP0q5du3pQYElDKahmbxxVFziuturq0udp0WeqUQa5o/S1/tC400hGyaKGlik7y6WxN6KbEoPBYNZ27uAfAPhLBg5cLeK1Hw6QmicPWEPJopmYRprRn0eVu+m06Vcw6kDhCv2mQ7+XQVU60eMb0SACWf/rz+LdiKNqc1RdTuyPIz8rjqrtdut6os0THEg7wH88D7Fx4XsYZvyTQu/GFNCE3z49xdDn2lGYo8UvWK6LacjTohNa4pp+AtJOQWh7QP6COfzFGXz72gyyU5L5+aP5PPza/5lX2tZUW6CX7THO53uu8vmeq3i6KOjRLIA+LYLoEx1IbKgP6QUam4EnW1QWpKpI+awrUYAnezfB192FE8m5nLieS05x1UXLP32iK/e0sv6O9Gj3KO5p1YhrmcU0DfK4K4JZFvfrxlFYM14eq7V5EEa8Z1klvg6YsrPc2wUhutTeVuX3a79TYiwh2i+a1v5VZwyWFBaQfSMZQRCJatvRar/2wgUAlCEhldajuBOUaPQUZMtj54Awr1u2d9T3RXBsbeV55ZVXePrpp6ts07x5c0JDQ8nIsFzhrtfryc7OJjTUtqVVaGgoJSUl5ObmWmRppaen2zzm888/p1OnTnTt2vWW/e7Rowd79uypdP/s2bOZMWOG+ff8/HwiIyPp0KEDPj6yjZcpAyQsLIxr167h7u5uUT/EFNSpSPk25SfSy2eVlceWVZppcroiCoXC5nalUonSxuedSqVCpbKu4eLi4oKLi7WdanU0le+jm5ubzTpBlWnavHkzb7zxhsVi8xEjRlSpKT4+nldeeYUzZ84QGRnJa6+9ZvFMGgwG5syZw9dff01aWhrh4eE89dRTvP7662ZNzzzzDF9++aXF+YcNG8avv/4KQHx8vLmOW0UOHDhA9+7dEUWRF154gSNHjnDu3DkeeOABfvjhh0rv07Fjx7j33ntp164dx44dM2tavnw5y5Yt49q1awC0bduWOXPmMGLECKvzVHafUlNTad68rOyBv78/7du3Z+7cufTv39+qvbu7u/lZNAWzoObPXl5eHn//+985fPgwly5dYurUqSxcuNDi2duwYQPz5s3j0qVL6HQ6WrZsyYwZM3jiiSfMmjZt2sSnn37KkSNHyM7O5tixY3SskJnz/PPPs337dlJSUvDy8qJPnz7Mnz+fmNI6kgqlgldfm8GR4wc5e/YMsbGxHDt2rNqadD4+GHJzmPfvd/i/hR9aPA8ASBJLFi9m1uzZDBgwgPj4+Gr9PRmNOgxaLZLOiKuP7XpDFf+eTp48SVxcHIcOHaJRo0bExcXxj3/8w7y//D0DaCw15s8zf/L6jNc59OchvL28efLJJ5k/fz6iKJJlyKJAXwBAiGcIQe5BqNVqVCoV0dHRFtcPDQ0lJCTE4rUCiIqKIjIy0mp7+ecOIGn/FcoHs2RESlLyoEkjOnToYLmnNHtIEATatWuHQqHAEB3N5WXL0Ccm0sbHB5cK1/Dx8aFTJ8vsdYVCwaIe77HsvekE2EjoFUSRJ+d/jHdgkFU20+noaLav+ATJaEQQRQZPeJF2A8vsEU3tW3TrRePISLYtX2LawX0T42jTz/JvzDQe6NSpEwaDgUN5JwDISCxApXCx6ntlmgACAgLwtzHOq+t9WnF6BXqjng5BHRjde7RV323dJ5MmkN9nT58+LQd9VSq7aarsc/FW3JUBrQ8//JCJEyfyzDPPALBs2TI2b97MypUrmTVrllX7RYsWMXz4cGbOlNMd586dy9atW1myZAnLli27o32viEKh+H/2zjs8qip/4597p6VPeoM0QhI6oRNsNI1gXRBRVHBFsYCI7E8WQSm7Iq6KoK7I2hARVhTFBioKolKl95ZAKgnpbZJMvb8/bjJkkklIQups3ufxwZx77rnnnXtuO+/5vl/69au5Aq+9w1F5geNyqy8v3f5M8r86Ly9mEMBrXBSug5rGc7ex0BUaMBstCKKAm7cTBb+kAKCJkm+YldxSClOw5OgRUSAoPHnk4wMAhPm48JzfPsZcfAWFICFJFfMhFiDqFhjzr1bJkXU1/K+PxfYIR+XmqLw60PRw5LHiqNxagtcNnW8g3COcpKIkfuqUy51vLsPw3CL29/0b2SmwbsFeQH42j4nWoioEo+9YNDlH4ehnVkELQOPiwp3/N5/182eTduoEv3/6ESMentYobhG+rogCNrZ8ggAjYvw5nJJPfqmRX89m8+vZbABc1Qp0hgqbKmThaWzvINydVLg7KfFwUuHmpEQhCjVEqpfu7sXoHgHklhjIKdFb/72Yq2Pd3hTr8S0SfLw7uWo3USkEegR50NXfja8OpdtEpisEgagA91o5Bmmd24WQBdXOV04CrJsAhhKIuAnGvQdi0/j5S0YLpcfkc3rNdoOJst3gHZF31JkYXqFQ4G6RhcmAyK44udUUivRnK+0G20b+LBcPNU5udSc6d9T7IjiA4l2pAAAgAElEQVQ2t+rw8/PDz8/vqvXi4uIoKCjg4MGDVsFp+/btWCwWhgyxnz9uwIABqFQqtm3bxvjx4wE4e/YsKSkpxMXF2dQtKSnh888/Z+nSpfXq95EjRwgKCqp1u0ajsSveKBSKGvlBRFG0WpxVvZZru66r13F1bbpoxvocs6XKG5qLaffu3UyaNKnei80FQeDixYvcfvvtPPHEE6xbt45t27bx2GOPERwcTHx8PACvvvoq7777LmvWrKFnz54cOHCAv/71r3h6ejJz5kxr32+99VZWr15tbV+j0Vi3XXfddTbRDwAvvvgi27ZtY9CgQQiCHAHk7OzMzJkz+fLLL+v8vQoLC5kyZQqjRo3i8uXL1nqCIBASEsIrr7xCVFQUkiSxZs0a7r77bg4fPkzPnj1r/Ab2UFn+yy+/0LNnT3JycliyZAl33HEH586ds5n4rqx/rWNREAQMBgN+fn688MILLF++3G4ffXx8mD9/Pt26dbOKV4888ggBAQHEx8dbI8Ouv/567r33Xh577DG77QwcOJAHH3yQ0NBQ8vLyWLRoEfHx8Vy8eBGFQoEoyvUnPzCFw8cOcuzYsTqftdWh0GoxF+Qj6csJCgri119/JT09nc6dO6NQKjGbTKz++GNCQ69YTdfrmlfLQoBkNNerflFREfHx8YwePZpVq1Zx/PhxHnnkEby8vJg2bZr9c2aBpyY9hYePB59u/hRdno6/PfE3JFHiqXlPUW4qRxAEOrl1QqvRWo8pCEKNe1xtizNqK69+f9TosrkyiVYByYxLWQ7Q1W6+JaVSaWMHq9BqcR0yFN3Oneh27MA5KqrG71W9nXN7d/Lz++/gXQJmhUSSv46IDFdEBCyChP+dw/D0t70OKjn1HX0rXfoNpCDzEp6BwbXmw1IoFPQdfSv5l9I5uHkT4X1i68zTW/nbDhsxkLM/7KSs2EhOWgmBXbQ16trjVLWP11petW2zxczG8xsBmNhtot3j1pYXq7JcoVDYnjM79RvDqbH5uNqdoGUwGDh48CDPP/+8tUwURUaPHs2ePXvs7rNnzx6blTcgr8T4+uuvaz1OY/yUK1GXX2X1ckmSKCkpQavV1ghJr+5XebXy1vLgrK28uLgYV1dXmxt1e+ZU+RJrMpkoLi7G3d3dWre9czKbzUiSZOVVeUOp3kdzTjn5X1YJB5Ug/6vzaKK9UHioW41T/mU5wbm7twYB0CfkA6Du4mHlVlJSwue/vocoKVCazJwz+iEKMPX6CGYPdsVp5TgEodIPvYLenW9j6TNJLqg4fmufp+r1i4qKcHNzq9d11lbHXvVySZIoLCy0XmOOwKmy7/W5ztobJ8DKS6vVWj/2moJTY/2UO9B2IUkSRUVFeHh4NOiDsz3AUbm1BC9REHmg+wMs2beEdafXcd/d3xH12iIK/rGG09EPWR/MkgQXk4uJdlJgdB4k73z8Cxi9GBRXPmt8OoVw6/TZfPv6Eg798C0BkVH0uGFEg7kFaZ1ZOq53DVu+iYNCsVgkTmcWsScxl10JOey9kGsVs0Be97NmTzJr9iTXaNdZJVJmvHI/tEgwb9MJ5m06Ue/f7IYoX27uEUDfzp50C3JHo5SfKYMjvJn31XHMEigE2qeNYC2wni9Bh7D2L1CaA0F94b51oGw6x4CyM7lI5WYUWjUaOxMQ9UV6STqHsg4hIDA2om6re0mSSDj0JwDhduwGAcor8mc5tXL+rEvnZScED7+rjytHvS+CY3NrLLp3786tt97KY489xqpVqzAajcyYMYP77ruP4OBgANLT0xk1ahSffPIJgwcPRqvVMnXqVGbPno23tzceHh48/fTTxMXFMXToUJv2N2zYgMlk4sEHH6xx7BUrVhAREUHPnj0pLy/ngw8+YPv27WzdurVFuNcFSZIwm80oFLIlGIXpkJcI3pHN7vhRGR0EsHbtWlQqFU8++ST/+Mc/rOM2Pz+fZ555hu+++w69Xs9NN93EW2+9RVTFhHJycjIzZsxg586dGAwGwsPDee211xgzZowtr3qgMYvNV61aRUREBMuWLQPkcbZz506WL19uFbR2797NXXfdxW233QZAeHg4//3vf/nzzz9t2tJoNLVGC6rVaus2SZIoLy/nm2++4emnn7byc3V15d133wVg165dFBQU1Mr1iSeeYNKkSSgUihpzj3fcYWtBu2TJEt5991327t1bQ9C6Gnx8fAgMDCQwMJB58+bx2WefsW/fPu68805rnQ8++IBly5Zx8eJFwsPDefrpp5k+fXqDjlOJ8PBw3nzzTQA++ugju3WGDx9u8/czzzzDmjVr2Llzp/WcVUZrVUap2cO0aVcWJIWHh/PSSy/Rt29fkpKSiIyMRBAEXl70Ki5aNa++8TLHjh1rEBfRzRVBoUSSJPx9fRkwYABr1qxh/vz5iEoVe//8k9ycHCbce6+Nvdr+/fuZN28ehw8fxmg0Ehsby/Lly62T/YKqYoLeLCGZLQhXsadet24dBoOBjz76CLVaTc+ePTly5Ig1mMPedbZ161ZOnzrN+eTzlDuVIyHx5N+fZPk/lvPQrIdQa9SEeYThqmp+a+DEnUkgBF4RtSQz3c5/hlePJbXuY+8Z6j5qJLqdOynZth3fCpHTHvSlOrZ/tIpTf/wKQECXrnS5/3bWHn6Wg90K8ChVUuRiotSwjoSdOrr5dCPUPZRQj1CC3YJRifJiHHcf31qFrOroceMIDm7eRNqZUxgNelTq2t87K7kFdtFy8WgOGQmFdgWtlsQf6X+QoctAq9ESHx7fqDba2ntPuxO0cnJyMJvNNVYbBAQEcObMGbv7ZGZm2q1fW5JRaJifcn39KsPCwvD19eXMmTNWT95KxMbG1tuvMjY2FoPB0CY8OGvj1KVLFy5cuGCdUHUETpW+osePH3c4Tlcbe6LOgkuCCdeLNX3AkcCUU4aO8lbjlHJULhc0JgoSs7DoTEhKOJWXCAUCuaVmTmSXcOrP3fTEBf+iUjI7+7N0pA/3xPnDNzMQpJrcdGp/zh492mbPU0xMDImJiTX63d7HnkKh4MKFCw7FydHvEZXo3bs3ZrO51f2UO9B2YbFYSEhIIDY2ttGrsdoqHJVbS/G6M/JO3j78NqnFqfyW9hsjR4wkOLGY0wdsP5gKzbIAbij1AhcfKLks57qMGm1TL2pQHEP+MpF9mzbw83v/xjckDP9w22jr+nCrzZZPFAV6BmvpGazl0Ru68Mf5bB768M8a+wd5OGG0SBSXG9Gb5PtoVTGrOnxc1fi6afBxk/91Vin4/EBqjairV+/pY1eomjgolOsifdi27yijhvSls7fj5DiyFKSSvfsbPC6sgcIUOXr+gS9BU3sEWmNQeki2THOJ9UcQG//B/tnpzwDo69eXQNe63QzMJhMpJ+SJuLDe9gWtKxFadVsXNidO7brEnq/kd8/MxEJO7bpEj+uCa63vqPdFcGxu14J169YxY8YMRo0ahSiKjB8/nrfeesu63Wg0cvbsWZscN8uXL7fW1ev1xMfHs3Llyhptf/jhh4wbN87GmrASBoOBv/3tb6Snp+Pi4kKfPn345ZdfGDGi5mKGJoMkgbG0XvX0pWW4uDjD0f/CD3NAsoAgylapsZMadlyVS4PsVdesWcPUqVP5888/OXDgANOmTSM0NNQaFfPwww9z/vx5vv32Wzw8PPj73//O2LFjOXXqFCqViunTp2MwGPj9999xdXXl1KlT1jkxvV5fY66tOh588EGrWNWYxeZ79uxh9GjbZ3x8fDyzZs2y/j1s2DDee+89zp07R3R0NEePHmXnzp288cYbNvvt2LEDf39/vLy8GDlyJC+99BI+PvbzJH711Vfk5uZanaEagtWrV3PhwgU+/fRTXnrppTrrms1mvvjiC3Q6XY2oxIagrKyMTz75BMDGonDdunUsWLCAf//738TGxrJ3716efvpp3NzcmDJlCiBbHlb9HquOG264wdaKrwGQJInt27dz9uzZq+biqws6nY7Vq1cTERFhtVcTKnQiyYxNTq76QhAEFFqPijbMPPLII8yZM4f58+ejUCr57IuN3DvhHlTVLB+Li4uZMmUKb7/9NpIksWzZMsaOHcv58+flRbmiwB2Tx7Nr3+6aTnwVCAsL4+TJk4A8xm+88Uab8xYfH8+//vUv8vPz0Wg0NaIh9+zZQ+/evenSuQs5ZTlc1l3muhHX8c/n/knCmQS69+mOWqxpVdnUyNl5kJOXPEEJXRO/wr0kFefyXCJeeBZVLeIx2H+Guo0cCYv/QdnRo5hyclD61hSbUk8d54d33qA4JxtBEBl89wTi7rmPg9mypWeps5lS5ysLzL5O/BqqTJkpBAXBbsGEeoQS6h5KmEcYIe4hhHmE2Yhd1WH2dUbj6YG+oIjUE8fo0n/QVbkFdPGRBa3EAvoRWmv9lsCGsxsAuDvybjSKxi0Ca2vvPe1O0GopNMRPub5+lZXllX6vID+8KpPgXc2vsmq5k5NTm/DgtMcJsK6279mzp91Q1vbIqbLvPXv25Pjx4/Tu3bsizLn9c+rTp491LPbu3RuVSoUkSXR3j0C3JwP9mTybfIm2jYPS1xmNh31f2JbgVHjuIpBCpy7+KDNkuxanSC9i+3dnw/5U5m8+icJjPw9clh9OgUU64h8eiafTcYR37kcoy7PDS4FrSC9i3WraVLTmeaqKyuuscixWrd+exl718sqonKq82jsnuOKnXHmdOQonuPIsayt+yu0R77zzDq+99hqZmZn07duXt99+m8GDB9ute/LkSRYsWMDBgwdJTk5m+fLlNh/1jWmzAx1obbioXLgn+h4+OvERa0+tZWToSLwj/GC/7sqMBVBYIQoZL5chxU1A2L9KniCsJmgBDLt3ElkXE7h45CDfvL6EB5cux9ndo8F9q48tX1d/txr2hApB4Kvpw6z7GkwWisuNJGaXMPG9vVQNThUF+O254YTYEaD6h3nWiBKrqz9BWid6+WsI0trP29AucegTxO+eoWvlAiSNBzy0CdyuboPWEJh1RsrPypH+Lv0bbzf45bkv+fjUxwAczT7KV+e/YlzUuFrrZ6ckYSzVodI4ERRdU7CSLBbKK3JoOXVrHUGrJL+cHZ/aLiDdse4MoT28cfNyoLHWgWuCt7c369evr3V7eHh4jch8Jycn3nnnHd5555062969e3et2+bMmWOTb6ZFYCyFl2sXdCshAHaXFkgW2PJ/8n8NwbxLoK7/YoWQkBCWL1+OIAjExMRw/Phxli9fzmOPPWYVsnbt2sWwYcMAWQAJCQnh66+/ZsKECaSkpDB+/Hh695btfSu/IyrP4+HDh+tcrV85fwaNW2xe2z5FRUXWfFBz586lqKiIbt26yfl4zGaWLFnCAw88YN3n1ltvZdy4cURERJCYmMi8efMYM2YMe/bssTs5+8knnxAfH0/nzp1r7Zs9nD9/nrlz5/LHH3/YzWlWiePHjxMXF0d5eTlubm5s2rSJHj16NOhYIIt5oihSWlqKJEkMGDCAUaNGWbcvXLiQZcuWMW7cOCRJIiAggMTERP7zn/9YBa0tW7ZgNNaej7Mx32SFhYV06tQJvV6PQqFg5cqV3HzzzVffsRpWrlzJnDlz0Ol0xMTE8PPPP1uFn8pFJ9XvKQ2BqK2InDGbuW3sWJ544gl+//13osPD+HbLD/z0/Xd8/vU3NvtUz7X23nvv4enpyW+//cbtt98ul721El1+CQp3NQq3msJS1TxcmZmZRERE2GyvHPOZmZmEhYXV2L/qdeGskM+Pj58szuZk5QBgsBhQKeq2Br4WmPLz+eOd3zFr++Ip5DP8k/mYUtNQh4XWKWbVBlVAAE69elF+4gTFv/6K14QJV45lNLJrw1oOfL8JJAltQCBjpv+NTjHdAQj1CEUURCxVFqoLCEyImUBuWS4pxSmkFqVSbi4ntTiV1OJUdrHL5vhWsasimqvy3zO5Z3jnyDsM8vCke4E7v2z/jGl1CFqVCOwi3/syLxQiSVKrRTWlFaexK13mem/Mva3Sh+ZAuxO0fH19USgUXL582aa8tqShIE+KNaQ+NNxP2R6u5j/ZHOUt6cFZV7m5ij1bY7w5q6KtcKpeXp1be+dkLtSjyjIj5evRJedSsusSpstXVpxpojxxu64T5iI9BZsSrAKX4KRAVCtalVNxrhxR4hXggj6xEACnKC8OphQw7+uTgESAei8epSpEiwXf4lLc9s5BLDstN+LXHbqOgr3vyst7BAXcsQJB2xl7R23tsVeJxlxnbXHs2etj5bbq29srp+rlVS0DHIUT2PpyV0dL+im3N2zYsIHZs2ezatUqhgwZwooVK4iPj+fs2bP4+9ecUC0tLaVLly5MmDCBZ599tkna7EAH2gLu73Y/n5z8hAOXD3A69zRde0bQ7fx8zkTdbxW1pJJM8AkDkwVT6ARU+1fBme+hvAicbMUqUVQw9unnWDfvWQouZ7D5rdcY9/wixCbKtVQVtdkTVhWe1EoRHzcNPm4aXrFT156YBbVHif3PoDAdvnvGNpreUAK1rKK9FpQdywaLhCrYFVVA46LbMnWZLN5zxelDQmLxnsUMCx5Wa6RWynE54rlzj14olDV5GdPSkEpLEdRq1OHhjerXtaIgq4zqc4aSBQqzyjoErQ50oA1j6NChNhOpcXFxLFu2DLPZzOnTp1EqlTY5znx8fIiJieH0aflbeebMmTz55JNs3bqV0aNHM378eJvFbl27dm11+6nPP/+cdevWsX79eqtd26xZswgODraKNvfdd5+1fu/evenTpw+RkZHs2LHDRgACSEtL45dffmHDhg0N6ofZbGbSpEksXryY6Oi68x3GxMRw5MgRCgsL2bhxI1OmTOG3335rsKi1YcMGunXrxokTJ5gzZw4ff/yxVSzR6XQkJiYydepUa0QeyNFMWu0VCzR7gsm1wt3dnSNHjlBSUsK2bduYPXs2Xbp0qWFHeDU88MAD3HzzzWRkZPD6669z7733smvXLpycnKw5tCyWaxC0XFwQRBEJUOj1PPjgg6xevZqhgwfRJSKC7naioi9fvswLL7zAjh07yMrKwmw2U1paSkrKlZynnUNDMHsaEF2UKL2b971NrbAfidWcEVqSxcLJ5/7FJa2cT2rEjOvRBAegCb66yF8X3EaOoPzECUq2bbcKWtkpSfzw9utkpyQB0HvkLQyf/Chq5ytRa4GugSyMW8jiPYuxSBZEQWRh3EKbxUQWyUJ2aTYpxSmkFKWQXJxMalGq9V8bseuSrdgFkBpQSvcUdy4fO8mp7JP08KvbHtQvxB2FUqSs2EhhVhmeAQ3LOdhU+OLcF0hIDAseRqhH60aKNSXanaClVqsZMGAA27Zt4+677wbksLdt27YxY8YMu/vExcWxbds2m9XLP//88zWF8zYlnJwc8wPAUXmB43HT7c8k/6vzeEuQ/dsVCzFBLeLSPwC3YcGo/K/cfJ1ivDFm6Cj4OgFzgZ6CbxPxnth69ieFWWUAeHhpMPwmC1qbi0p48QfZLtDP6QQRBSWAJ77FZSglCyrdaXDRwoj5MHCqnHtj6FOQd0G2sGlmP/OmgqONxUo4Ki9wXG6OyqslUOmPXmlpsmrVKjZv3sxHH33E3Llza9QfNGgQgwbJq8LsbW9Mmy0JRx4rjsqtpXgFugZyc/jN/HDxBz49/SlLrl/CgKfG4P3SQvI8ozkbdS+lrkGUGUpxFp0xmkNR+cZAzlk49TX0n1yz725u3Pl/81n/wt9IPnaYnZ+t5cZJDzcLt4YITw0VqeoTJVYVDjUW0w7IyklVSBb5na2J39esdoP96rbQqgspRSlI1awNLJKF1OLUqwpaob1qRjIDlFdY62u6dkWoY8V/c8LT31kONalCTRBB61/3uHSosVgNjsytA/WAykWOlroKKvMxORnyEFYOsb2fCQqYvg88GjAJrGrZSdFHH32U+Ph4Nm/ezNatW1m6dCnLli1jxowZiKKIu3vdtq9VLQcbs9i8tn08PDyskUPPPfccc+fOtYpWvXv3Jjk5maVLl1oFrero0qULvr6+JCQk1BC0Vq9ejY+Pj00eqvqguLiYAwcOcPjwYev8ZGW+YKVSydatW63RPWq1mq5duwIwYMAA9u/fz5tvvsl//vOfBh0zJCSEqKgooqKiMJlM/OUvf+HEiRNoNBpKSuRc4++//z5DhgxBkiT0ej0ajcYmeqw5LAdFUbTyi42N5fTp0yxdurTBgpZWq0Wr1RIVFcXQoUPx8vJi06ZN3H///VcitCyNj34RBAGhIpjBXFjII488wpAhQzh+7Bj33zMek9GAVC0P9JQpU8jNzeXNN98kLCwMjUZDXFwcBoPBWue2e+5i566dFQepedyqloO1jfHKbfYWgAYGBlpzxKkUKoLdgvkzWf7b199Xts9rxuisnFX/4VhpNHhAVA8Xgns2/L3J3jPUfdQoct56G92ePZhLSji842d2/ncNZpMJZw8ttzw+k64Dh9hpDcZFjWNY8DBSi1MJcQ+p8c4lCiIBrgEEuAYwKNA2wkqSJLJKs6xiV+W/p/NOk16SDkCmdzlGhQUXvZKn1k/GNSSQfv796B/Qn37+/Qj3CEcQBC7rLpNoSCTIEIR/uDsZCYVkJBa0iqBlMBvYdH4T0DTRWW3pvafdCVoAs2fPZsqUKQwcOJDBgwezYsUKdDqdddJm8uTJdOrUiaVLlwJyAsKbbrqJZcuWcdttt/HZZ59x4MAB3nvvvdakAcir2xua9LE9wFF5geNxKz+fT/6XNfPUuI8Mwf2GzojONW8TSq0GpVaDOKkb2e8epfRwFk7dvXHp07S2L/VFUY4saLmZLBiMFgpFmPu7nKvnXsWvGPw24XIkEoDAQh0qVzPC4EdgxAvgWsUzW9up3QhZ4HhjsRKOygscl5uj8moJGAwGDh48yPPPP28tE0WR0aNHs2fPnjbTZlPBkceKo3JraV4PdX+IHy7+wJaLW5jVfxZ+99xDr+uvx5CcgvfeNHaf1nDZqCZcA4aMElz63gfbFsPRz+wKWgB+oeHEPz6TzW+9xv5vNhLYpSvRQ69vFm4NEZ4aKlLVFw41FnMS4Kfna5YLCnkBUhPCmF2KIbUYBHCJbfw7rb3Vr6IgEuIeYqc2GA160s/KuScjYvvbraM/K9sNaqpZA7ck3Lyc6BzjRdoZ2ZJREGH4A93qjM5yqLFYDY7MrQP1hCDUy/pPAJw1boAv3PEmfDfLxhUE36hm7ea+ffts/t67dy9RUVEoFAq6d++OyWRi3759VsvB3Nxczp49axMpFBISwhNPPMETTzzB888/z/vvv8/TTz+Ns7NzjZy61VHVcrAxi83j4uLYsmWLTVn1fUpLS2tM+isUCpscwNWRlpZGbm4uQUG2KQYkSeLjjz9m8uTJNjmN6gMPDw9rSpFKrFy5ku3bt7Nx48YatnJVYbFY0Ov1DTpeddxzzz0sWLCAlStX8uyzzxIQEGDNn1zVfrE6msNysDqagp8kSVZRDq6kkpMkWwu/hkKsmKQ3FxfTo1s3evbsybFjx1j3wXuYjUZKi4uwmK/k6Nq1axcrV65k7NixAKSmppKTk2PT5gfvv09RipzLWhXgWiMnZ9X+xsXFMX/+fIxGo7X8559/JiYmBm9vb7t9jouLY8mSJWRlZcl54Zy8uLD/Ah4eHtw69FbcnNwa/XtcDbq9ezn+xX6KYh5EqZC4bor93J91obZnqCY6GlWnThRlXWbDC/9HRkYaAF36D+KWx2fi6lkzVUFVBLoGXjVvqT0IgmBX7MrUZRL/ZTwWyYJFAel+ZYRnuhKS5cwRT1n4+iZRtqT0dvLG39mfs/lnkZAQz4s8670UcCIjsZDuw64teq0x2Jq8lXx9PgEuAdzU+aZraqutvfe0S0Fr4sSJZGdns2DBAjIzM4mNjeXHH3+0+oempKTYPMyGDRvG+vXreeGFF5g3bx5RUVF8/fXX9OrVq7UoWGGxWMjLy8Pb27tW26X2CEflBY7BTZIkDBeLKP4t1ZonoDo0kZ52xSybOqEeuI8IoXh7KvmbEtCEe6DwaFyCwcaiXGdEXyq/XJw4nEE0sMdiwE2j5J8jPCk+9BnvCr7cU6RGQsK/SIe6dy+4fXmL9rM54Ahj0R4clRc4LjdH5dUSyMnJwWw2280NcObMmVr2ap429Xq9zYdmUVERINunVFqcCoKAKIrW1aaVqCyvrFdbucViIT8/Hx8fH2uOg6qoHD/VJyBqK1coFEiSZLe8eh9rK79WTlWRn5+PVqu1uQ7aMydRFJEkiZycHLy8vKx9bk5OPbx7EOsXy5HsI/z39H+ZHjsd0c8PZ39/+g0ZTN4rP1J4SZ54KPjtBO5zxqPY9g9I3oU55wJ4hdnlFDX0evonnufQ5q/5ceUKPIM64RXcmfz8fLy8vKwrldvreRIEwe51Vtl+u+SUfhBp/b0IpblILr5QlocgWZAEBdJtbyC5BULFfk3BSXdIXg2tifIEF0Wj73v+zv54qD0oMsj3UFEQeXHIiwS4yPfk6vXTT5/EbDTi4umFu3+gdXtVTmVnZOsvdZQ88d1a56mowuZ74G1hdIsLwsPH2S6nyr6bTCbrNSaKYvsZe1Wup+qcKvt4teussZw64HiQJAmTyYRSqUToPxkiR7WoK0hKSgqzZ8/m8ccf59ChQ7z99tssW7YMgKioKO666y4ee+wx/vOf/+Du7s7cuXPp1KkTd911FwCzZs1izJgxREdHk5+fz6+//kr37t2tvCIjI+sdHVOfxebPP/886enpfPLJJwA88cQT/Pvf/2bOnDk88sgjbN++nc8//5zNmzdb97njjjtYsmQJoaGh9OzZk8OHD/PGG2/wyCOPAFBSUsLixYsZP348gYGBJCYmMmfOHLp27Up8fLxNH7dv387FixeZMmWK3bw3p06dwmAwkJeXR3FxsVXQi42NRRTFGvOM/v7+ODk52ZQ///zzjBkzhtDQUIqLi1m/fj07duzgp59+qtfvWA0/QpsAACAASURBVBsEQWDmzJksWrSIxx9/HBcXFxYvXszMmTPRarXEx8ej0+k4cuQIBQUFzJ49G2i45WAl55KSErKzszly5Ahqtdoqgi5dupSBAwcSGRmJXq9ny5YtrF27lnfffdfaRl5eHikpKVy6JEc5nj17FpAjjwIDA7lw4QIbNmzglltuwc/Pj7S0NF555RWcnZ2tQpIgClxMSqRMX8alS5coKyuz9q1Hjx71FySVSvk8WyyYi4v5eetPZFxIRFtFjDUZjZhNRhRKFVFRUaxdu5aBAwdSVFTEc889V0P06xTaGX+VF1gklP4uiOra7a4rbSqnTp3K3//+d06cOMGbb77J8uXLrdfZd999x7x586zfcrfccgs9evTgoYce4tVXXyUzM5OFCxYyffp03FyaT8wyXs4i+bn5JEY9DcCgu7riqm34HGBd8wfZ/Xvz50UVpow0VBonhk95lN4j41vF2rS6lWFaQDnhma6MMvbl8dH3c+jyIQ5lHeJEzgnyyvPIK8+z7muRLGws+oQxTCMjobDF+w7w+dnPARgfPR6leG0SUFub82mXghbAjBkzarUY3LFjR42yCRMmMKFKQrm2AkmSSE5OxsurbpW5vcFReUH75iZZJMpP5VL8exqGlOLaKwqg9K3fKhyPUaGUn83HmF5C3sbz+P61Z4s+aAqz5eisciWYkooABbpAF7aPVWLZ/jS3eHvSPUkO7bUoylGbLRgDtHW02H7QnsdiXXBUXuC43ByV1/8ali5dyuLFi2uUHzt2DDc3+cPIx8eH8PBwUlJSyM3NtdYJCgqyrgCtFMJA/kD29fXlzJkzlJeXW8tVKhVeXl4cO3bMZgKv8uOz+mrf2NhYDAYDp06dspaJoki/fv0oKioiISHBWu7k5ETPnj3Jy8uzsU/x8PAgKiqKzMxMMjIyrOVNxalLly4kJyfXmNhsz5y6du2Km5sbqamppKamthinh3o8xJHfjvDZ6c8YZBmEWlRbOUVMiOHEO6cAD0xmdxJe+4DomBsQkn4n8+e3yIx+qFZObt37EJx4nktnTrJx6SJ63j0RY2kpzt7e9B8S167Pk1arrXE9ubi42F093x44dROTcN08HcFUhk4bQ8KQlxEsJjS6dCIGjOJ4ci5U4XXNnCQJvwMGRMAQYTsOGsrJ2d+ZIkMRAgLPhj1LZ6fOeJd4U1RUZPc8FRw/KP+mncNsVvZX5eR07DgikK5S4gutcp6UZheKsssQRBB880lILqCryv7Yq7xHHDt2DMB6/2gPY6+266m2+56np2eTcapuOdUBx4HBYLhi8dbCriCTJ0+mrKyMwYMHo1AoeOaZZ5g2bZp1++rVq3nmmWe4/fbbMRgM3HjjjWzZssUaKWI2m5k+fTppaWly9Mett7J8+fKavOqB+iw2z8jIsMlFFBERwebNm3n22Wd588036dy5Mx988IGNEPX222/z4osv8tRTT5GVlUVwcDCPP/44CxYsAGTB+NixY6xZs4aCggKCg4O55ZZb+Oc//4lGYzsZ/+GHHzJs2DC6dLEfBTx27Fib67dfPzk6pbpIXReysrKYPHkyGRkZaLVa+vTpw08//cTNN99srfPwww+TlJRkd36zLkyZMoX58+dbRcBHH30UFxcXXnvtNZ577jlcXV3p3bu3TZRcQ1HJGeDgwYOsX7+esLAwkpKSADl311NPPUVaWhrOzs5069aNTz/9lIkTJ1r3+/bbb60uW3Alx9nChQtZtGgRTk5O/PHHH6xYsYL8/HwCAgK48cYb2b17tzUfsCgKzP77THbv21mjbxcvXiS8IuekIAisXr2ahx9+2C4fQRCgInezpbAIjb+vjZgFgARmoyxoffjhh0ybNo3+/fsTEhLCyy+/zP/93//VaFNQiUh6M5LRAnUIWlqtlq1btzJ9+nQGDBiAr68vCxYsYNq0afJidIOBwsJCq+gH8pj+/vvvefLJJ4mLi8PV1ZUpU6bwj3/8o9bjXCskk4lLf/sbie6DMag90Po50Xek/ejzq7ZlZ/6grKSYbR+s5GzKeVAo8NIbufuNVXh36txUFBqFqlaGfnjy1ay/kZuczDhNNNf3vx6Qrf02ntvI0j+X2uyb6XYRgILLpexO3MfQLoMQhZYRg87ln+Nw1mGUgpLxUeOvub22NucjSA256/4Po/IDpLCw0CZk+lphNps5cuQIsbGxKBRNn6C6teCovKB9cTMV6jHllKH01KC/UEjx72mYKgQglAKuAwJwv6Ez+ouF5H91XvbEF8BrXBSug+ofpmvMKuXyW4fBZMHzrkjc4po/lDajsIzzl0vY82syboeLyFKYmequQUQgcOBmlCf/wy6NiieCAhi7OwD/AifU5jxGn8hH//BtxM59vdn72NxoT2OxIXBUXuC43JqLV3M9e9sSDAYDLi4ubNy40ZobFOSP0YKCAr755ps69w8PD2fWrFk2H6WNbdNehFZISAh5eXnW3/9aV8CbzWaOHz9O3759USqVDhWhJUkSR48epXfv3jbXQXvmVNnGkSNHbHg1NydJkLjtq9u4pLvEi0NeZHzUeBtOJZdLKXrzMAD7Ew4SF3KEAI9N4NMFy1P7QRBq5aQvKebTec9SnJNtw3/0YzPoPfKWdnueqkaUVL3O7EV9tHVOwuFPEDbPlqOxuo7GMv4jULvZ8Kq+eOpaORmSish9/wSCWkHAvEEIqiuTDQ3l9GPSj8zdOZce3j1YP3a9TR/tRf6sm/cs2UkX6H77eEZPfKDGdWYsKiJxyFAAInftRO3j0yrn6dj2NHZtTKBTjCd3zOxbJydr341Gjh8/br1/tPWxVx9OlX282nXWGE4FBQV4eXk59HtPW0Zd753l5eVcvHiRiIiIBucQkSSJ0tJSXFxcWjzCYPjw4cTGxrJixYomb7s1eTU32gK3m266iREjRrBo0aIma7Mt8GpKmE0WctNLQABXH4VdXhcvXiQ6OppTp04RFVW7vaelvBx9QgIIAqquXclJS7GtIMgW1gpl/a0NTYV6LMUGRDcVSs/G5R5qynN2LfcxgKxly0j99Fv2DZqPJCq5bXofwnv7Nqov1ecPko8d4cd3l1OSl4sgikTlFtMlJZOIT9fiMnBgo47RXPhs4RzSz5xi5CNP0C/+dmt5VXvCqrj3yPN4lwXyQ8z7mELzuSPyDu7scicqhYqUohRCPUIbZZN4Nby09yU2nN3AzWE388bwN665vbY259NuI7Q60IEO1A3d/swrIlUVCE5K3OKCcBsWjMJdDsFW+jqjivTgzL4TdBvSC7V3w5IVqvxd0I4Jp/C7CxRuuYimqycqv+ZLeLhhfwpzvzqOJMHQciU3oCLSU41oFlCK6ShPyKHs50MH0P1cIX4F8qorg+hFqreJbt0H1dV8BzrQgQ60GNRqNQMGDGDbtm1W8clisbBt27ZaI9Gbq02NRlNjlSrIk2zVX1prsxmo7eW2ennlB1l969dVLgiC3fLa+tjQ8vr2pXLy097v1ZB2oO1wqr6t+vbm5DSp+yReP/A668+sZ0LMBOuYEUURjyA3ijzUUGTAENiXo8cT6Kf1wa/XBRQZhyBkcK19cdF6MvrR6Wx6ZZG1TJIkfvngHSJiB+DuY//DvD2cJ3vXWW19rK2dVuUkSfDbv2BHxerW2AcR7liBolpS8+bgVH5Uzn3h3MsHpZP9yar6cjqacxSAfgH9rnovKC0sIDvpAgBeYV3sXmemxEQAlAEBqH186s3pWsrttZ18Qo56Cu/t2+B7QXVebW7sXUN5XddZU3HqQAc68L+FwsJCEhMTbWwVO1AT1rxUEjXmvSqxZcsWpk2bVqeYBXIeLVGjwaLXQ2kpHn7+FGVnWbd7+Po3SMwCrItjJEP7t5Mt/vVXct//gPO9n0QSlYT18mm0mFUVJoOe3zas5fAP3wHgFdyZsdNnY37vA4pSvqN42/Y2J2hFDhhC+plTXDj4p42gVd2eUBREFgxdgGQI5PJBPaG6GP4o+ZJVR1ex6ugq634CAvOHzmdizER7h2sUdEYd3yXKv2lTttuW0CFotQE46uorR+UFbZ+bqVBvV8xyHxGC+/DOiJqal75Cq8G5qxeKRvjfArjFBVN+Og99QgF5G87i/2RfBEXTf5Ql5eiY++VxKzVPi/wSM1hKBiJwEg5CYG8st77C5t2vMuS0FwIVLzqCwPHOfvTzb92Q5aZEWx+LjYWj8gLH5eaovFoCs2fPZsqUKQwcOJDBgwezYsUKdDqd1YZj8uTJdOrUiaVL5UneqtZGBoOB9PR0jhw5gpubG127dq1Xm60JRx4rjsqtNXiNixrHyiMrSSxMZPel3VzX6Tqb7c4h7pSdzEWrEEiMvAv3oykgHcJzx0cYoyTU4WGoAu2vdlSqauZUkCwWCjIv1SpotTe0u7FoNsHm2XBojfz3jc/BiPlXMr5XoDl4mXLK0B2WJ61c+vtfc3tHsiryqfjHXrVu8nG5rm9YBL5B9h0O9BUWQ5qY6GvuW2NhKDdx6XwBQIMnsNrdWGwAHJlbB5oWjuTMUBWOygtal5tWqyUtLa1Z2nakc1b1FaG2BQHTp0+vd3uiVoslKwtzYSEu4eFIkkRxTjYqjQYXj4anrbAKWkaL3Xxs9UVrnjNjZialBw6SsXgxOd49yfXphagQuH5C3QJhfWApKWT9/NnkpctjPTb+Nm584K+oNE4UjRxF0bffUbx9G/5znmtTEYWRA4fw+7rVpJw4hr60FI3LlcX846LGMTRgKPvO7WNI9BCCPYI5k5vB5YOnGaG+jdtvGMwX577gwOUD1n0kJF7a+xKrT6wmxiuGSM9Iunh2oatnV8I9wnFSNjya7vvE7yk1lRLuEc7gwMFX36GeaEvvPR2CVitDoVBcdaVAe4Sj8oL2wc2UU2Z3hYqmq6ddMQuunZcgCnhNiOby8kMY00oo/jUVj9ENSy56NexPymPm+sNIQCC5xImn6GuJRkc4LmYtCKAZOghue4Wdl3ZRnJ6BQEC1jgrolAr8mrRnrYP2MBYbA0flBY7LzVF5tRQmTpxIdnY2CxYsIDMzk9jYWH788UcCAuT7V0pKis1H2qVLl2y8619//XVef/11brrpJqvP/tXabC048lhxVG6txctd7c64qHF8evpT1p5aW0PQUgW5UnYyl5AAFxJTSjjRYyrOB7PJXbID+A1EkaB/LMbznntqtO0VFIwgCLa2ZKKIZ2DzWya3BNrVWCxMh8unYM+/4eIOEEQY+zoMmlqjanPw0u3PJP/L89a/TXnlddSuR3tGHWfzZQEq1q8egtYxWdAK79OvVm7lZ+T2nGK6XVPfrgWpp/OwmCW0/s54BtTfhaFdjcUGwpG5daBpIQhCo+y9mgINzb/UELQmr+aGo3JzNF6VEbKSJKFSqa9Z9FBotZiysrCU6JBMJtTOcl55k9HYKEFKUIqy6iZJSCYJQdXw/rXmOSvYuJGMBQvBYsEiKEiIkyN9+owMadC7QHVYLGYOfPslu79Yh8VsxtXTi/gnZxERO8Bax/X66xFUKozJKRgSE9FULNpsC/AO7oxXUCfyM9JJPnaI6KHX22wP9gjmLwP/Yv07MFIWQ3NSSvhLSDy+zr5M3VrzPTe9JJ30knS2p263lgkIdHbvTKRnJJHaSPlfz0gitBE4K53t9i+jJIPVJ1cDcG/MvU0mBra1954OQauVYbFYyMzMJDAw0KEsBhyVF7QPbkpfZxCwFbWEivJa0BS8lFoNXndHkvfZWYq2p+AU4406xL1RbVVFid7Eaz+e4ZO9yUgSTFb8xCLlGkQBVls+xFkEUfCWBa2bx4Go4OOTHxOaWfMhK0gSPl3azsPwWtAexmJj4Ki8wHG5OSqvlsSMGTNqtQOsPhkRXrFi8FrabC048lhxVG6tyWtS90msO72OXZd2kViQSKRnpHWbKsgNAB8XBT6d3chNgxM9H6XHydXonb1xLssmY8ECXK+/vkaklruPLzdPe5qt770t29wBI6Y85jDRWe1mLB76BL57BipzDYhKmLAGut9ut3pT87I6GlRBwaYEnGK8UTbSseB4znEskoUg16Cr5kOQJInk43IuuNBefbl06ZJdblcitGIa1aemQPLxCrvBXg27RtrNWGwEHJlbB5oWkiRhNBpRqVRtKsrgWuGovMBxuTkiL0EUkMwSRoMRhVK8Jl6iRoPo5IylvAxzYSFKb29ZMLNYMJuMdiP86+ybICCoRCSDGcloBlXDnxWtdc6MmZlWMQsgrfNwStU+OLsqGDQ2vNHtFlzO5Id33uDSWdltpOvgYdz82PQaEXAKN1dc4oai+/0Pirdtb1OCFkCXAYM5+P0mEg/sqyFoVX8/0Po54+yuoqzYSHZyMaFBoYiCaJNrSxREXrnhFfLK87hQcIGEggQSCxMp1BeSWpxKanEqO1J3WOsLCHRy62QTzRWpjeR4znFe3vcyUsVksEjTvZ+0tfee1u/B/zgkSSIjI6NeE1PtCY7KC9oHN6VWg8uAKqvwBfAaF1Xnx3lT8XKJ9ce5rx9YIG/DWSwG89V3qgO/n8smfvnvrNmTDJKFt8J3s1gli1lGSU2pxRs/pfxgV4d6IDopOZlzksRzR4hKlye7rA9+SaKfReUwE1btYSw2Bo7KCxyXm6Py6kDTw5HHiqNya01eIe4hjAwdCcDaU2tttqmCXAEwZZdx66M9Uaskijwi2Dt0MYdjZ7F76D+55D8Uw6mDdtvuPfIW/rriP2gqPqDLioubkUnLol2MxcJ0+G7mFTEL5P8P7lfrLk3Ny66jgVRR3kgczpIFqvrYDealp1GSl4tCpSI4prtdbpLFQvm5cwA4dWsdQUuySNb8WWG9fRq2b3sYi42EI3PrQNPDaDS2dheaBY7KCxyXm6PxEipmtY1GU5O0p/CU3wvNhYUIgoBSLYtYJr2hcf2rYjvYWLTGOTMkJVvFLL3ag4thYwDo30+J2rnhsTGSJHH81618MudpLp09hdrZmW5j/8Jtz8yp1c7RfeQoAIq3b2ski+ZD1wFDALhw5CAWs+2cZ/X3A0EQCOrqCUBGYqE115ZYMXhFQWRh3ELGRIzhge4P8GLci6wZs4Y/Jv7Bjnt38OEtHzJvyDwmxkxkYMBAvDReSEiklaTxW9pvrD6xmvk753Pf5vtYsm+JVcwCePXAq2TqMpuEc1t77+mI0OpABxwUolr22XXq5YPnHZGNXmnaGHjdFYn+YiGmnDLyv07AdUAASl/nBvWhsNTIPzefYuNB2U93tDaNN9zW45F5xFqnyCSvfA1UmgElmoqHxMcnVjP0hA+iJBA99HpueOCvHF6+DO33W/AfdXPTEe1ABzrQgQ50oAPNiod6PMS2lG18f+F7nun/DF5OXgAovDQITgqkcjMuEgwbWs6O352uJFQQRM7E3E9/oRzXWtrW+gUQOTyeU99+zsHNX9N/zJ04ubm1DLH/ZVjMsP0la3ScFZIF8i6AtlOLdMOuc8FVHA2uhsr8Wf38axfmKlEZndWpW0+UavvvyMa0NKTSUgS1GnV4eKP7dS3ITi2mtMiASqMgOMqzVfrQgQ50oAMd6IA9iKKAGaDxepFtex4ekJmJpbQUi9GIUq3BqNdjMuiBhr8jNoWg1RpQBss23OUaT05HT8KsdMa9KJkeI29tcFulRYX8/N7bJOzfC8jvPbc8+QwX0zPqjDpzGzECFi2i/OgxjFlZqPyvPc9pUyE4pjtObu6UFxdx6dxpOnfvVWf9oEgtFw5nk5FYCMi5toYFDyO1OJUQ9xC7Uf2CIODj7IOPsw+Dg2zzYOWV55FYkHjlv8JEzuSeodhou0DPIllILU69qmtAe0SHoNWBDjgoDOklADj38GlRMQtAdFHhPSGanA9PUHYoi7JDWdYoMddBtd9IMwrLuJijIzlHxxu/nCe7WI+vUMh7wVvol/s9gl4ClQsYywCJQrPclq+qQrzr6klacRoXd+4mrsAbpZOG4VMexUXrhU+pHpXRjDqkc0v8BB3oQAc60IEOdKAJ0N+/P929u3M67zRfnPuCaX2mAfJHnirQFUNSEcaMErTdo+GPVNudBQUFOi1edbTvF9Md35AwclKTObh5E9dNfKj5yHQAijLgq8cg6Y+a2wQFeHdpsa4o3FQIGgWSvmJlbT0cDeqC2WLmaPZRoJ6C1jFZ0ArrXXs0V/mZMwBounZFULbOp3tShd1gSHdvFMoOg5cOdKADHehA20GlINJUQSOiWo3o4iILWoWFKDUaKAajQd+4/lXMVUnGa3MuamkUfb2JS4FxnImZZA2DC+3jhzo4qEHtXDi0n59WvUlpYQGiQsl1Ex9k4B1/kc9Xekad+6oC/HHq04fyY8co+XUHXhPvbSydJoeoUBDRbyCn//iVxIN/XlXQqsyjlZlYaM3HFuga2GihydvJG+9AbwYFDrKWZeoyid8YjwVbK8MQ95BGHaOto+ONtJUhCAI+Pj4O419bCUflBe2Dm2SRMF6SBS115/rlsGpqXkr/avmrJMj/6jymQvsvAhv2p3DdK9uZ9P4+nt90gvxiHc9pt7HXfQ79c79DQII+98HMw3DnWyAoKDQH4qEAlaBEUCtQh7rz6cGP6H9GfljcMHEy7t6+CIKApqAAAFVnx7mZt4ex2Bg4Ki9wXG6OyqsDTQ9HHiuOyq21eQmCwEM9ZJHpszOfYTRfsV2ptB00ZujwjAhBEGpG/JS8uQzj5axa2/b19SNuwiQADm75lrLiomZg0bJo7XNWK87/Aquul8UslSv0e0gWsUD+944VdUZnNTWvspO5SHozgosS30d6ETh3cJ0Lr66GhIIEdEYdripXojzrTpptNhlJPXkcgLA+/Wrlpj8r2w1qunVrdL+uFcnHc4CG2w1CGx6LTQBH5taBpoeylQTp5oaj8gLH5eZovARRvgcLQtNNbyu0V2wHVVbLwcYKWhX9MktI5sZFabX0OSs/c4a0jz+3EbMATqW4UJJfXq82jOXl/PLBO2z612JKCwvw6RzKAy+/weC77kEUFfV+hrqPlK3H26LtYGSF7WDigX025fa4+YW4o1CJlOuMFFwubZb+BLoGsnBYTSvDporOamvvPY51J2uHEEWR8Fayj2hOOCovaB/cTNmlSEYLglqst21KU/Oym3+gIi9B9ZWv6fmlzP3yOAHkEiFm4kMhM5WbiNanyxWC+sKY1yBUfmDQfzJEjqLos/P4y7kk0XTRUmQqJu2734gwOuPaKYDY+Nut3JS5uRjAoSK02sNYbAwclRc4LjdH5dWBpocjjxVH5dYWeN0afivLDy4nuyybH5N+5I7IOwBQB7mho0LQ8nJi+IPd2fHpGesqXW/dBZSp50h94gnC1q5F4WZrPljJTQoLwz88kqykRA58v4kb7p/SwgybFm3hnNnAbITt/4Rdb8p/B/SGCavBNwqGPy/bDHp3uarVYFPzKtl9CQC3uGCcouuK46sfKvNn9fHtg0JU1Fk349xZjPpynD20+IdFINTCrfysHKHlFBN9zf1rDEqLDGQly/Y1Yb0aLmi1ubHYhHBkbh1oWgiCgEbTso4pLQFH5QWOy80ReVXqLYoKkaQpoPDwwJiRgaWsDHVFm2aTCYvZjKio+/les38CglJEMlnkOTpFw4S3lj5nkslExvwXKFN724hZIDtDF2aV4eblZHff4twc8jMuYSwv47dPPyQ/Q37PGnDb3Vx/32RrPjKo/zPUbeQIslesoHTPXiw6HaJrbUbiLY/wvv0RFUryM9LJu5SGd7A812iPm0IpEhDuwaXzBWQkFuIV2Dw86mNl2Fi0tfeejgitVobFYiEpKQmLpX35qV4NjsoL2gc3Q5ocnaUKdrOuWLkampqX0tcZqh/aTl6CM5lF/PXj/UxQ/MouzUz+q17Cv9X/JlpMx6jxhjvehMd+vSJmVULbicJyLX5K+SCarp6s37qSiDRnJODOJ+dYXzbMZjOGFNmGSBXiOBFa7WEsNgaOygscl5uj8upA08ORx4qjcmsLvFQKFfd3ux+AtafWWpMRV43QkiSJHtcFM/nlYQwdKr8H5bl1JS8sDv3p06TPmoVULal2JTdJkqxRWod/+I7SosKWotYsaAvnzIr8ZFg95oqYNegxePQXWcwCWcSKuKFeebOakpchQ4chqQhEcBvcNB/7lYJWQ/JnhfWORRDFWrlZI7RiWidCK/mEbDfoF+qOayOsGNvUWGxiODK3DjQtJElCr9dbn12OAkflBY7LzRF5iRXzXSajqcl4CSoVYkVOVXNuHoqKCClTo20HG59Hq6XPWd6aNZSfPImrouYCdUEErb/9BfPHt2/l/el/5Yt/zuPr1/5JfsYl3Hx8mfDiEoZPftRGzIL6P0M1UVGoQkKQDAZKdu5qPLFmgMbFhZCevQFIPPintbw2bkEVtoMZCQXN2q9A10AGBQ5q8rxZbe29p0PQamVIkkRubq5DPVDAcXlB++BmrMifpe5U/6SVTc1LqdXgNS7KRtTyuCXMGp2l05t4ectpbntrJ+WXE3hF+T6KKlZBFgny7/0KBjwMtaxyLc4qxbtC0JLC1Fz+Rs7H4DWkB8FRMdZ6puxsMBhAoUAV6DjJENvDWGwMHJUXOC43R+XVgaaHI48VR+XWVnhNiJ6Ak8KJ03mnOXD5AACqQBcQwKIzYimWxSo3LycGPHgrfT1la5LT0feh9whAt3MnGYsW2fCoyi1ywGACunTFqC9n/7dftjzBJkSbOGeF6bDjFVh1HaTtByct3LsWbnsdVPZX9l4NTclLt0deNezc0xdFE+WaPZJ1BIC+/n2vWjf5mFy3Mn+WPW7mkhKMqfKCLE0rRWgln6iwG2xEdBa0kbHYTHBkbh1oephMptbuQrOgMby++OILunXrhpOTE71792bLli111s/IyGDSpElER0cjiiKzZs2yW2/FihXExMTg7OxMSEgIzz77LOXlV+zRFi1ahCAINv91q2LnmpSUZC0XRREnJydEUUQQBL744gtrvZkzZzJg7IB5gwAAIABJREFUwAA0Gg2xsbXnQARISEjA3d0dT0/P+vw0Nhg+fLi1P05OTkRHR7N06dJrvufUdc6SkpKYOnUqERERODs7ExkZycKFCzEYDDb1fvrpJ4YOHYq7uzt+fn6MHz+epKQku23u2rULpVJp97d65513CA8Px8nJiSFDhvDnn3/aaUG+344ZMwZBEPj6669ttlUu4DbXMsn+8ccfIwgC3bt3r7Htiy++QBAEu1EnlXkrzfn5iHqZv7Ha71BfpGamc9eUe3AP8MTf35/nnnvuqtdOXl4eDzzwAFqtloCAAKZOnUpJSUmjjl9fGJKSyH7rbQDCZj+JV+CVNCKCCMMf6GY3Oqs4N4ef33u7xtgcP3cxob3svxPV9xkqCILVdrCkTdoODgZsbQdr41aZRysjsX0unGtr7z0dglYHOuCAMFQIWqp65s8CuKy7zOmS01zWXW6yfrgOCiRw7mBUIbKwZimVH9pbT2Zy8xu/8d7vFxjOAb51eYnqgWSiAP5i7Q9ss9mCssiIUhAQXFVs/PHfuBeL6DUSEx+bZ1O3cjJAFRSEoFI1Gb8OdKADHehABzrQMvB08rRaDa49tRaQE21XRn4bMqq8MyjVxN3qi58yEb1RSUL8AiRRQeGXX5Hz7rt22xcEgWH3PgDAkZ82oyvIb0Y2Do79H8LynrBjKeiLwSscHv8DetzZ2j0DwFJqpPSwnFfNLS64Sdq8rLvMJd0lREGkr1/dglZ5SQmZiecBOX9WbdCfk+soAwJQel27JWJDYTZbSD2VBzQuf1YHOtCBDlTH7t27uf/++5k6dSqHDx/m7rvv5u677+bEiRO17qPX6/Hz8+OFF16gb1/799f169czd+5cFi5cyOnTp/nwww/ZsGED8+bZzgv07NmTjIwM6387d+60bgsJCbGWX7p0icTERBYtWoSb2/+zd97hUVXpH//cmUky6RXSSA8hhA5SEpAmAsIiii4KCFYQFxT1hx0EcWXVVbCsriIr6FoQEBU7SEDB0HsNCS2QzKT3Sabd+/vjJpMM6ckAYXY+z5MHcu+55573npNbzve87+vBLbfcYlXPAw88wF133dWorUajkSlTpnDjjTc2dVkaZObMmWg0GlJTU3nuued48cUX+eCDD1pdX1OcOnUKURT58MMPOX78OMuXL+eDDz6wuo7nzp1j4sSJjBw5kkOHDvHrr7+Sl5fHpEmT6tRXVFTEjBkzuOmmm+rs++qrr3jyySdZtGgRBw4coFevXowZM4acnLp5T996660GwwlWb5cacRpxd3cnJyeHnTt3Wm3/z3/+Q3h4eJ3yotGIuajGi0ZZJZaZKupJq9EEZrOZW++6DYPRyO8bt/DJJ5+wevVqXnzxxUaPmzZtGsePH2fTpk2sW7eO7du3M2vWrBafv7lIoohm4YtIej3uSUk4jRpvyfU06oEEZrySRMLg+t+ZCjVZ9YocFaW2EW48bqoStLb9jtTOFgdU59HKSj3ZZB7eoGhZ0CrOqUBX0jpx1NaUFVZyKbWw2bnR2hMOQcuBg3aApriClDN5aIpb/oC8HMksYcxqmYfWhrQNjP1mLK+df41bvrmFDWkb2tyOalTeLniNkF8SyvZqmb1qD7P+ux+nkvN87vYm/3F+Ex+xoO6BglLOp9AApfmVdKhy3FKEuZC3dT8A/uMG4uFpvQLKeOkSAE6d7Cd/lgMHDhw4cPC/xj0J9wCw7eI2MkoyAOuwg7VRDriX0QHvoxIqyM6F/BlLAch7512KvrFe3VtNVO8bCI7tgsmgZ+/G9VfKDPvm2Dfw45NArYmNoougaD+pm8v35yAZRZyC3HCO8rJJnYdyZY+rON843J0az4tw8fgRJEnEL6QTnv4BDZbTV+XPulbeWZr0YgyVZlw9nQiMsM11cuDAAWjLtezR7EFbrr3i5xo+fDhz585l7ty5eHt7ExAQwMKFC60mnwsLC5kxYwa+vr64ublxyy23kJaWZtl/4cIFJkyYgK+vL+7u7nTr1q1Jr6qGePvttxk7dixPPfUUXbt25eWXX6Zv377861//avCYyMhI3n77bWbMmIG3t3e9ZVJSUhg8eDBTp04lMjKS0aNHM2XKlDoePyqViqCgIMtPQEDNPVipVFrtCwwM5Ntvv2Xy5Ml4eNTMq7zzzjvMmTOH6OiG5yoAFixYQHx8PJMnT27OpakXNzc3goKCiIiI4P7776dnz55s3rzZqsyxY8e45ZZb8PDwIDAwkOnTp5OXl9eq840dO5ZVq1YxevRooqOjufXWW5k/fz4bNtTMD+3fvx+z2czf//53YmJi6Nu3L/Pnz+fQoUMYLwvtPHv2bKZOnUpiYmKdcy1btoyZM2dy//33k5CQwAcffICbmxsff/yxVblDhw7x5ptv1tlejaJ6VrsRpxGVSsXUqVOt6rh06RLbtm1j6tSpVmXPnDnDbbfdRuSwYXQYMIAhd9/N73+mAGBsRcjBTZs2ceLkSVa//RG94rszdsxYXn75Zd577706nm/VnDx5kl9++YWVK1cycOBAkpKSeOedd1izZg1ZWVktbkNzKFq7Ft3evQhubgQtWcLZg7lIEnSM9KLLgKAG82YB+AaHwGWCo6BQ4BNkm0VDbn37ovT2xlxcjO7AAZvUaSu8OnSkQ0QUkiRy7uC+Rsuq3Z3wC5HfEbVnr72X1ok/s/j0+RS+W36QT59P4cSfV2ZsXSkcgtY1RhAEgoODbZa8sL1gr3aB7W37am8Gg19NZupHuxn8ajJf7c1oU32mXJ2cbNJZWSdfVX1oy7UsTlmMVPUGICLy0s6XbPaCrSmuYJ/STLmLAirNOKXm8pTTWraon2GwuB8UTjDkCRj3hixigfzvhLcazadQklthyZ91MD0ZpRlyAoxMm/RknbLGS5kAOIXZl6Blr39n9moX2K9t9mqXA9tjz2PFXm1rT3ZFe0czJHQIEhKfn/wcAKdgeZLpckELNz98+o9kmNcKAI5meCLdMw8AzcKFlKek1LGttpfW4U0/U1ZYz4Kb64Br0mcVRbDxMVh/X919khkKzrb5FLawSxIlynbJH+zuiSE2u0bV4QZ7d2g8/BTUyp9VyzurPtsqT6UCoL5W+bOOyhOi4d38m52T93La0/3D1tizbQ6ahyRJ6Iy6Zv2YBBM6o441p9YwZv0YHtz0IGPWj2HNqTXNrqP6p6Xhnj755BNUKhV79uzh7bffZtmyZaxcudKy/7777mPfvn1s3LiRnTt3IkkS48aNs4gTc+bMQa/X88cff3D06FFee+01i8Dj5OSEp6cnHh4eDf7Mnj3bcq6dO3cyatQoq/aNGTOmjudMS0lKSmL//v0WAevs2bP89NNPjBs3zqpcWloaISEhREdHM23aNDIyGp57OXr0KIcOHeLBBx9scXuSk5NZt24d7733XouPrQ9Jkti+fTunTp3CuVYuoqKiIkaOHEmfPn3Yt28fv/zyC9nZ2VYi2tKlSy194enpSWBgYJ0+a+w6FBcX4+fnZ/m9X79+KBQKVq1ahdlspri4mP/+97+MGjUKp1rRcFatWsXZs2dZtGhRnToNBgP79++3GgsKhYJRo0ZZjQWdTsfUqVN57733CGogdUTN86nxe/EDDzzA2rVr0elkr6PVq1czduxYAgMDrcqVlZVxy/jx/LhyJTvXrePmwYO5e84cLmVlYTbJebpmz57d6JivLYDu3LmTHj16WM4jmUTGjBlDSUkJx48fr7etO3fuxMfHhxtuuAGQ/85GjRqFQqFg9+7d9R7TFowaDTn/fAOAjo8/jnOnUNL2yZGbOt/QscnjPf0D8PSrEYcFhYKbZ85tdNFOS56hgkqFx/DhAJRtSW6y/NUm5gbZS6s67GBjtl2tPFpNUaApZ+t/T1H9OJEk2Pb5qUY9tcQSA0EmH8R24l3WfpbK/Y+iUCgICbGNat2esFe7oGW2aYorOJdXTlSAO8HeNeKSySySU6rnWGYxz3591LKYRJTguQ1HiQpwp0+4L07KuppzQ3VWY7hUFW4w1L1ZH59nis5YxKxqREnkYunFNicR/GpvBm9t2EakoKWP2IWp+PGsIpdQ5bfyCpqYkXDL6zWJwbuMkyc8/KKbTA5eklWGj1K27/zZvZgVEh0nDsHDua5XmqnKQ8s5rK47+fWMvf6d2atdYL+22atdDmyPPY8Ve7Wtvdk1PWE6OzJ38E36N8zpM6eWh1Y9YYoHPkL83hu4qO/F6crh7NX1YOi4iVT+9B2XHn2M0HfexlupwqxQoKiaKIno2YeQLglkpZ5gz3frGHnfw1fTPJtw1fvs5A/w4/9BWfViKAGrpdJNeN03F1vYpU8rxJxfiaBW4tan6Uma5nIwRxap+nRsOIRgNeePVAtaNeJXfbbpU2VBy6VLF64FF47lA63PnwXt7/5hS+zZNgfNo8JUwcAvBrb6eBGRV3a/wiu7X2nRcbun7sbNya3pglWEhYWxfPlyBEGgS5cuHD16lOXLlzNz5kzS0tLYuHEjf/75J0lJSQB8/vnnhIWF8e233/LXv/6VjIwM7rjjDnr06AFg5Znk7OzMoUOHGj2/l1eNh6dWq60jIAQGBqLVtm0x7dSpU8nLy2PIkCFIkoTJZGL27NlWofIGDhzI6tWr6dKlCxqNhpdeeokbb7yRY8eO4elpnapBEAQ+/fRTunbtarkuzSU/P5/77ruPzz77zMr21vD++++zcuVKDAYDRqMRtVrNY489Ztn/r3/9iz59+rB06VLLto8//piwsDBOnz5NXFwcs2fPbtJLrKF7WXp6Ou+++y5vvPGGZVtUVBSbNm1i8uTJPPzww5jNZhITE6289tLS0nj22WfZvn07KlXdaee8vDzMZnO9Y+HUqVOW35944gmSkpKYOHFig22vPefVmDjSp08foqOjWb9+PdOnT2f16tUsW7aMs2etF9z06tWLXr16YSoowJiVxaJHH+X75GQ2bUnmgen3YDIaWLJkCfPnz2/wXLWpHvOCsxKp0oRkqLG7oXGv1Wrp2LGjxaZqEdPPz6/NfyuXI0kS2sUvIZaX49q7N77TplJaUIkmXfYgiu3X9LtSbsZ5SvNzERRKbn3yOQKjYxsVs6Dlz1CPm0ZS/N13lCYn0/HZZ9rVYpKYvgPY9fUazh0+gMloROXk1KBtwTHeHN+edU3yaIlmkYwTBaTu1nL2QG6d/ZIoh0OszxuvbI+Gog3pAGQLWfhO6ox7/7bNF7cVh6B1jTGbzZw9e5bo6GiUSuW1bo7NsFe7oPm2rdx+lld+PImE/FnfPdQLlVKBpqiSnNJKxAYWVokSTP5wF0qFQKiPKxH+bkT4uxHp705Gvo7Pdl9AlOQcU/+Y1IO7+luLNIbMUgCcQ5uXP+u3C7/V2aYQFIR5hjXr+IbYeiqH/d++ww7nlSgFCZPog9awCkmMweCWhPOEv0H8X6xdk71DmxSyqjGcL0EQBEqMBVSYyzjRuZTXBtcfU9hQlUNLFWpfH532+ndmr3aB/dpmr3Y5sD32PFbs1bb2ZldicCKxPrGkF6Wz4fQGpodNAcCUW4FkNCM41WpjQCzEjWXYqQ/RKvpTUgCnek2ha/8sKvbu5eKDD8nlFAqCl7yEz513IggCgydPY93LL3Dkt1/oP+GOJj/K2xtXrc9Ks+Hnp+DEd/Lv/rEw4R0oOAPfPy57ZjXD67652MKusp0aANxvCELhbJtrozPqOFUgT8A1JWgVZWspztaiUCoJS+hh2X65bZIoUnn6NADq+KsvaBXnVlCo1SEoBMIT/Jo+oAHa2/3DltizbQ7si0GDBllN/iYmJvLmm29iNps5efIkKpWKgQNrhDl/f3+6dOnCyZMnAXjsscd45JFH2LRpE6NGjeKOO+6gZ8+eSJKEXq8nJibmmk8ub9u2jaVLl/L+++8zcOBA0tPTmTdvHi+//DILFy4EsMqD1bNnTwYOHEhERARr166t44Wl0+n44osvWLBgQYvbMnPmTKZOncrQoUPbZhRyHqUXXniBwsJCFi1aRFJSkpXAdvjwYbZu3WrlEVTNmTNniIuLw8/Pz+JhVd1nLi4uTfZZZmYmY8eO5a9//SszZ860bNdqtcycOZN7772XKVOmUFpayosvvsidd97J5s2bEUWRqVOn8tJLLxEX1/qQuRs3biQ5OZmDBw82Wq7aDtEsIUlSo3Y98MADrFq1ivDwcMrLyxk3blydcJdlZWUsXryYH3/8EU1WFiajkQq9Hk227LFk0uvp2LGjRXBqLoKTAqkSJKMILs0/rnafXQlKfviRst9/R3ByIvjvLyMolZw5IEc4Co71bjTUYDUn/pC9pmL6DSC2/6Bmnbelz1CPwYMRnJ0xXryIPi0NdRvGVmswarUYzl/AOTICp8u8BQOjY3H39aO8sIBLx48Q1qN3g7YFxcjpUXIzSjEZzKhs9C7aEJIkkXepjNRdWk7v0VJRamywrKAA7451nSZMxXqKvkmvVSkUbkjDJc4XlfeVGZfNwSFotQNKShpPHHe9Yq92Qf22VRrN7DlXwI70PLaeyiEtp2alsAQczbQ+RqUQCPBwQVtS16XTRSWgN0lkFOjIKNCxPa1OEYs315DYAEJ9a1ZoGTObnz8rJSuF9WlyjggBweKpNSNhRqu9s05qSli++TQnThzlD5eVKAS5TpWiCFdFChXiMMqjluHctWur6q9GUZWgUqs7S4mbkdBRgwl0D6y3rMGOc2jZ69+ZvdoF9mubvdrlwPbY81ixV9vak12CIHBP13tYvHMxX5z6gmldp6FwUyHqTBizdTh3umxBT+IcnE//zBiPpXxd+QpnD+cTPPEJXPbWypkgimheXIT7kCE4BQUR1q0nnbp259LJY+z+dh2jHnzk6hppA65on0kSHPwMNr0AlcWyaDV4Hgx7BpzUEDkYYm5qttd9S2iLXab8CipT5TCS7oOCbdUkjuUdwyyZCXQLJNij8XovVHlnBXeOx9nV2sOitm3GS5eQdDoEZ2ecIyNt1tbmcuGYHG4wOMYbFzenJko3Tnu6f9gae7bNQdO4qlzZPbXp8F+SJFFRUUGpVMpt392GiGjZpxAUfDvxWwLd6v+Obei8V5OHHnqIMWPG8OOPP7Jp0yb+8Y9/8OabbzJ37lzMZnMd76bLueeee/jggw8ACAoKIrtKGKgmOzu7wXByzWXhwoVMnz6dhx6SF6r06NGD8vJyZs2axQsvvIBCUTfyjY+PD3FxcaSnp9fZt379enQ6HTNmzGhxW5KTk9m4caPFq0mSJERRRKVSsWLFCh544IFm1+Xt7U1sbCwAa9euJTY2lkGDBllC9ZWVlTFhwgRee+21OscGB8vPo6VLl1p5cNXHiRMnCA+vWSidlZXFiBEjSEpKYsWKFVZl33vvPby9vXn99dct2z777DPCwsLYvXs38fHx7Nu3j4MHDzJ37lwARFFEkiRUKhWbNm1iyJAhKJXKRsdCcnIyZ86cwcfHOj/6HXfcwY033si2bduAGg+t5oTinDZtGk8//TSLFy9m+vTp9XqPzZ8/n82bN/PGG28QExmJQqNh6pNPYjbLf7cmg4HZs2fz2WefNXqusjJ5Xi4oKIg9e/YgOMljUDKKZBdlW/bVR1BQEDk5OZbfzWYzJpOJgoKCNv+t1MZUUED2K7KHaMDfHsGlaqyl7a0ON9j0fUk0mzm5YxsACcNGtuj8LXmGKtzdcU9MpOz33ylLTr6qglbR+vVoXlwEomi1CK4aQaEgpu8Ajmz5hTMH9hDWo3eDtnkFqHHzdkZXbCDnQikhnX3qLddWyov0nN6TTepuDfmZNWHZXT2d6Nw/kPhBweRklPD7F6lIoixmDZ8WX6+AacqrqJujTpK3OwQtBw6uIzTFlRzN0dOhsIISvZntaXnsSM9l7/lCDCax0WOfGNWZ4V06EuytJsDDBYVC4Ku9GTy/4RhmSUIpCCyd1J3JN4SRU6rnfF45Fwp0XMgvZ/+FQnadtc7lIEow6d8p3D84ijv7dcLf1dmSQ8KpU+OCVmFlIQt2yCuOJsdN5sFuD/LU5qc4UnaEMmM9YXtqU5wpr771i7FMUqTnlPLpz39gPv0bdyoOM8TlqEXMqsZD9RMVhmHojhTg/RcTCtfW34LcS8tBcKJQn83ubgW80+v+esuJlZWYq14GnDq1zevMgQMHDhw4cHDtGR89nrcPvI2mXEPyxWT6BgejP1OMUVNeV9CKHAJBPemoPcKgXpmkHAxl19ZC+rkF46HT1JQTRQwXMnAKCrLk0lr70nMc3fIrAybegVeA7cLTXbcUZ8L5HbDvP3CxahI3uDdM/BcE9bAu2wKv+6tF2S4NSOAS54tTM/LMNpeWhBusyZ/VeK6tyqqQSy6xsQj1TLhdaS4crQo32KP14QYdOLB3BEFoVug/SZLACP5u/ixKWsRLO19ClEQUgoJFiYuI8o66ou28POfOrl276Ny5M0qlkq5du2Iymdi9e7fF8yc/P5/U1FQSEhIsx4SFhTF79mxmz57Nc889x0cffWQRKw4ePNioV0ztsHuJiYls2bKFxx9/3LJt8+bNJCYmtslGnU5XR7Sq9oxoSOgoKyvjzJkzTJ8+vc6+jz/+mHHjxtGhQ4cWt2Xnzp2YzWbL79999x2vvfYaKSkphIa2/rno4eHBvHnzmD9/vuWa9+3bl6+//prIyMh6xRnAKuRgtbjq6upq1We1w6NlZmYyYsQI+vXrx6pVq+pc18autSiKeHl5cfToUav977//PsnJyaxfv56oqCicnZ3p168fW7Zs4bbbbrMcu2XLFsu4evbZZy0CZTU9evRg+fLlTJgwwbLN0hSJJj20/Pz8uPXWW1m7dq1FZL2cP//8k/vuu4/bb78dgDxRIiMry1Kv0aBvUcjBxMREXnnlFXIL8/DDA8kosmnTJry8vKz+xi4/pqioiP3799O3b19AFvhEUbTypmwr2X9/BXNRES5duuBfda2Lc3XkXChFECCmb9PvvhlHD1FeWIDa04voPjfYrG314XHTSMp+/53SLckE1MrNdyUxarVoFr6IJdmUKKJZ+CLqPn1Qx8RYykX3qxK09u1h2IyZDdRWlV8rxpszB3LRnCmyqaBlNJg5dyiX1F1aLp4ssDRZoRKI6tmB+EFBhHXzQ1mV2qZDuCcR3fwpzqnAu6Nrg954qvremYUGtl9FHIKWAwctYHXKOV7aeAIJWPz773X2B3mpGdI5gB6hXrz0/QmrsIJKQWBy/7A6ea/u6h/O0LgOnM/TERngZtkf6KUm0EvNwGj5Q1JTXMHgV5PrhCrMLtHz6s+neHNTKtOiO/KQUURwUaLyd20w35YkSSxKWURuRS7R3tHM7z8fZ8GZsQFjOVJ2hE3nN/H8gOdxUtazIvPAp0jfz0OQRCRBQUmP+zl8sYhO+SksUWig1iHV4RarUSlOogpwwpRnpPxANp6DW/dCl/rRb7gL8kqAAR1uodTsQZxv/Ss0jJmyu7Tk4oK5Qge0PmyKAwcOHDhw4ODao1apmdxlMh8e+ZD/nvgvA4OXWAStOggCJM6Bbx6md8krXOr6BRknizje7QF6HP0QvdoX14pc1IZinCNqVieHJfQgvHtPMo4dYfeGtdw8a+5VtLAdsm8V/PAEliWaCie46UUY9DdQtv9PStFgprxqxbFHkm1DUB/MlUWq3h0bF6lE0czFY0cAiOjRuPilT5XDDV6L/FlGvZnM03Ky8sju11e4TQcO2juTOk8iKSSJi6UXCfMMa3PO6uaQkZHBk08+ycMPP8yBAwd49913efPNNwHo3LkzEydOZObMmXz44Yd4enry7LPPEhoaaslb9Pjjj3PLLbcQFxdHYWEhW7dupWutaCuxsbHNDjk4b948hg0bxptvvsn48eNZs2YN+/bts/ICeu6558jMzOTTTz+1bKvO01VWVkZubi6HDh3C2dnZIghMmDCBZcuW0adPH0vIwYULFzJhwgSL2DJ//nwmTJhAREQEWVlZLFq0CKVSyZQpU6zamJ6ezh9//MGGDRvqtSE9PZ2ysjK0Wi0VFRWWtiUkJODs7Gx1bQD27duHQqGge/fuzbpGjfHwww/z8ssv8/XXX3PnnXcyZ84cPvroI6ZMmcLTTz+Nn58f6enprFmzhpUrV6JUKuuEHNTpdLi5udXbZ5mZmQwfPpyIiAjeeOMNcnNr8uxUewaNHz+e5cuXs2TJEkvIweeff56IiAj69OlTr60dO3ZErVZbbX/yySe59957ueGGGxgwYABvvfUW5eXl3H///Zbz1eeNFB4eTlRUjQhcO4dWM5y0WL16Ne+//z7+/vUv2OjcuTMbNmxgwoQJCILAC88+gyiKCFWVm/R6OkaGNjvk4OjRo0lISODeB+7jlfmL0WZrWbhwIXPmzLGEEdyzZw8zZsxgy5YthIaG0rVrV8aOHcvMmTP597//TWlpKY8++ih33323TXI3GnNzKf3hR0p++kn2OHrlFQQneSIvbZ+8GLxTvC9uXs5N1nW8KtxgfNJQlKq2eXQ3heeIEWiFxVQePYoxOwenwCu/2Mxw/kLdgSVJnLt1Iu4DB+IxfDgeI0cQ3qMXKmcXSvNz0RzYh+JUGsagIJT1iNjBMT5Vglbb82hJokRWehGndmk5cyAHY2WNmB4U7U2XQUHE9uuI2r3+vvHwVTcZVlLl7YI6wY/KE1UOFgL4Tup8Tb2zwCFoXXMEQSAiIuKaxxy2NS2yqx5vn/aEWZRIOZPHf3deYNOJ7Dr7B8f4MyohkBs7BxDTwcNis9pJWcfz6nIxq5pgb9cG99Uu849JPazqXHxrAi4qJZ/vyeDwxSJy0goAV06YTbzyxQF+Oa6tN9/WutPr2HpxK04KJ14b+hquKldEUWR0wmg+zv6YvIo8UrJSGBY2zLoRxZlIG+chVIVJECQR7yP/YSiAAswo0AfdgFvCaIgdhaA5gvTDEwiSGUlQopzwFh76cIq+O0P5Lg0eSSHNHvsVpSWcP7Sfs3/upWfhIItSJggKRhaxgp/4AAAgAElEQVTcSPF5Dd6RdcO8FK5ZI5fT6zk/ekwd9+DrGcf94/rDXm2zV7sc2B57Hiv2alt7tevu+Lv5+NjHHM49jDaiAA/AoGnAw7zbJNi8CKFMw01D0lmTGUI5IewauFgWvCSR+LQ1RObnW8XFT/zrNDKOHeHo1k10SuhOp67dr4t8Wjbvs8NfwQ+PW2+TzND9jqsqZrXFrorDuUiVJpR+atRxvjZrkyiJHMmRRaqmBK3ss+lUlpfh4uZOUExnq32X21aZKntoXYv8WZdOFWA2iXgFqPENbtr7pDHa6/3DFtizbQ5sj7NzzcRwkHvQVRGyqpkxYwYVFRUMGDAApVLJvHnzmDWrJvf0qlWrmDdvHn/5y18wGAwMHTqUn376CaeqCW6z2cycOXO4dOkSXl5ejB07luXLl9exqzkkJSVZclM9//zzdO7cmW+//dZK6NBoNGRkZFgd16dPzSKA/fv388UXXxAREcH58+cBWLBgAYIgsGDBAjIzM+nQoQMTJkzglapwagCXLl1iypQp5Ofn06FDB4YMGcKuXbvqeGF9/PHHdOrUySrnVm0eeughfq+1uLm6befOnSOymSFit23bxogRI1p0DMgeRjNmzGDx4sVMmjSJkJAQ/vzzT5555hlGjx6NXq8nIiKCsWPH1htmERrvs82bN5Oenk56ejqdLkvXUO3pNnLkSL744gtef/11Xn/9ddzc3EhMTOSXX37B1bX5Hht33XUXubm5vPjii2i1Wnr37s0vv/xCYGDzw28CREVF8dfbp/DU488hiRI0kZLI1dW10XYuW7aMBx54gKSkJAICApj/yCOUFBUhiPIcmGg2YzaZUDbTe1qpVPLDDz/wyCOPMHTiTbi7ujH9nhksWbLEUkan05GamorRWJPf6PPPP2fu3LmMGjUKhULBpEmTePfdd5t1zsYQdToy5j6Komrht/vgJFy7d7PsT98nz3nGNiPcoF6nI33vLgC6DW1ZuMHWPENVHTrg2rMnFYcPU7Y1Gd+7727ROVuDc2RE/TvMZspTUihPSSF76VKcY2MICg3gkkHPwaf/j87aAs69+mq9849BMd4AaM8UI4mSlSjbXIqydaTu1pK6S0tpQU0aG09/NV0GBdFlYBA+Hdv2DlcbRVX4aUU3Lzr8JQ4n32vrnQUgSM0JNOqAkpISvL29KS4utnKZdtBGDnwK38/DErRzwtvQt+Vxiq8E5/LKWb//IhsOZKIprpvnqpovZw4iMab+1R2a4oo6nldtpaE6j2cVc/GrU3TPNrAGPf9Cb3WcQoDtT49AL2i564e7qDRXMv+G+dzb7V6rcq/teY3PTn7GuKhxvDa0JhazJEmc2vkjXTdNq9Om/S4DCbjxQSJuGAtqb+udxZlWORTEShOapbuRDCIBM3ugjqlxsS3Nz6NQk4VvcAgefv7kXbzA2QN7OXtgL5rTp5AkkXjvAfTyG1GnDdLN7oTd1Ndqm1GrJX3ESOsVFQoFsclb6iRydODAQfvD8ey9tjiuv4P2zgs7XmDjmY3c4zeZaX8OR1ArCVmUWP/H8R9vQPLLENST1D5r+W3VSev9kplh59+n61erUNbK17Dq//5GwSV5Yk0QBG6e9Sg9Ro6+kma1H/LS4dfnIe3X+vff+wNE3Xh129QKJEki552DGDXleI+LwnOo7XKqphWmMWnjJFxVrqRMSUGlaHiCa9fXa/hz7WfE9k9k4vwXGq03/ebRGC9eJHz1atwH2S68UHPY+vkpTmzPosfwTgy9++omXf9fx/HcvbY0dv0rKys5d+4cUVFRqNWNr2ZvTwwfPpzevXvz1ltvXeumOKjFqlWrWLp0KSdOnLAIhw5ajk6nw9/fnzWffk3igCH4Brvj5NyEotVCTEVFGC9dQuHqSqmTCpPRgG9wCC5u7i2vq7ASsdyIwtP5mni36EpLSd+zB+XfX0GhqQq7XWt+LD+rjDVL9qBQCtz/+pAGvXqqObp1E5s+eAe/kE7ct+zfV2WBR96Kj8hdtgz3G28k/KMVTR9gA04PHIS5uMqbqiqHlmu/fpRt3UbZtm3o9u8Hs5mLfp4cDeuIt66SwWmZlvKXzz+azSIrn/gDk0FkyosD8Qtp3liqLDeSvi+bU7u0ZJ+rydHlrFYS268jXQYFExzj3SqBrClyPzqC/kwxvpPjcO/bMtG5KVr77uPw0LrGmM1mTp06RXx8vMUV2h5oll3FmTViFsj/fv+4nET6KntqVYfm6+Dhwv4Lhazff4l9Fwot+73UKkZ1DeSbQ5lW2ohSEIgMaFj1bo7nVUtpqM5uId50cHHBgIGQLv6QmmW1X5RgzFvJuEf/m0oq6e7bn7u71IhTlwrK+ePgSfpFDuczPiM5I5kjmTkcvljBnnMF7DmXj1BSQIqLYJUbyyQpYPwyIno24EJ/WQ4FhVqFW5+OlO/WUr5LYxG0jiZvYvOKdy0rf1w8PNCXWa+07hgYR1fXwXVOIUoiTh3qiorlO3fVdQ+ulSPjeud/+v5xnWKvttmrXQ5sjz2PFXu1rT3bNSNhBhvPbGRdwbdMUwxHqjRjLtKjqi90xg0PyKKW9gjulWl19wtKSorNZD71NGEffoCgUFCan0dB5kVLEUmS2PzRv4js1bdde2q1uc8qiuCPf8LuD0A0gaCsel+v9U4lKOXFSleR1tpluFCCUVOO4KTAvRkrjltCdf6sngE9GxWzAC4clcNSRfaqG26wtm1UVGC8KI87ly5XV1CSJImMY7bLn9We7x9txZ5tc2BbJEmisrIStVptVx599moXXHnbfvrpJ5YuXXrVxSx767OtW7cycuRIhiQNxWwSMRvNNhe0FFUCtqjXo/Jww2Q0YDLoWyVoCU6y15xkFJt9jC37TDIY6m6sNT+WXhVuMLybf5NiFsCJqnCDCcNuanHbWvsM9bxpJLnLlqHbtQtzWTlKj5b3Q0swl5VZxKxO772HuluCZS7RJSoK/wfux1xcTNmOHSjWruVoRR7FbmoqVUrUJjOIIhdm3IvXmNG4Dx6CW98+KJ2dCYzyIjO1iPObD+I5JrbB+UmzSeTCsXxSd2s5fyQP0Sy/iwsKgfAEP7oMCiKqZwAqG4/7yzEVyg4TF4s0dDYHtIv3Hoeg1Q6orGzY++d6pkm7Cs7UiFnVSGZIeQeGPweutkuO1xhr9mTw3DdH6+geCgGGxnXgzn6dGNU1ELWTkoHRfjy34agljF9jYQSvNpJZwpAl544YPiwSxemsOvm2jN4/oSMD0eTGrj0302ffb/QN98XVSclvp7KRJBCQ8I4LoJI8Jn2yElNJL8vxTooA1piHM1W1FZDFrAWmh5gXEUNLcB8YTPluLRXH8zGXGNAZS9i04l0r8UlfVoZC5UTHiAQUztGU5Hekp7MXzoKCcpMeV6UTCkGBKIkcLLlItNSJ2gEHjRoNOVWhEKxQKKxyZFzv/M/eP65j7NU2e7XLge2x57Fir7a1V7u6+HVhQNAA9mj3UOSpw6fYDaOmvH5By80Pek+BfR/jc+5TBGGq1bufIICbWEL59jTy3nufDo/OpVCTVWdhjCSKFGmz2rWgBa3sM9EMBz6B5L+DThY1iBsLo1+BjBR54ZlklsWsCW9dk1DhrbGrbKe8Ctm1VwdLyBRbcShHFqmaCjdoqKwg67QcRrCh/FnVtulPy4KrKjAQla/twiM2h/zMMsoK9aicFYTG2eZbrL3eP2yBPdvmwLaIYvMnsK8n7NUuuLK2rVu37orV3RT21Gfjx49n5LCbKc2X78UleZVIErh6tCwUZmMILi7yS6IooqoKs2zU1yMMNacuJ1kEkAzmJkpaY6s+E+oLN1k1PyZJEun7ZUErtl/TuamKc7RcOnEMBIGuQ4a3qj2teYY6R0fjFBGO8UIG5Tu24zV2bKvO3Vxqv5N53lR/WEWltzfe48fj1q8fPjPvochNTY6XO+EFsheVMSOD/I9Wkv/RShRubrgNHIi7U28glnPf/IHraw9bhSaUJImcC6Wk7tKStjebyvKaUJQBYR50GRhE5/6BuF8lLz/JLGEukgWtCidjE6WvHg5By8G1Q9nAH9/uD2D/J9DtNjn8YHii/ACxMUazyGe7zvPS9yfr7Pvb8BjuTYok0Mt6QuSu/uEMjvFny+7D3DSwF538ruxqgJZgzNGBSURwURIc6VMn39b9owx8dWk7APGqB0lT+VFSaWJHep5VPRICusIeuARsxcX7MAM7jmRglD8DovzoHeZD+to/IG0ryeZeLDTN5LFJw1os6jmHeOAc4YXhQgnle7XsvfBTvRk8nT1vpahAjlnbVa3AX6XAJEik6MBsLsZNqEAnuVIhBBGgzgNkYc1UWEjGgw9hzslBGRCAuaAARNHiHmwP3lkOHDhw4MCBA5ieMJ092j0cFk4yjH4YNeW4JjTgWTLob7DvYzzOr2f4bXPZ9m2B5fUjJM6XqFueJOvpZ8h77z3UPbrj26M7giAgXaZ8+QS1PSF3u6E6l215Pmx/E7KPytsDusDYpRA7qur3WDmKQq0w0tcD5hIDFUfld12PRNv3W7WHVp+O9YtU1Vw6cQzRbMK7YyA+QXVzvtZGX5U/62p7ZwGcPyoLmZ3i/VA5XfvVtw4cOGgb27Ztu9ZNcODgimE2iRYxq5rS/Eqc1SqUqvpziLUUQRBQuKgRKytQVr0Omgz6xg9qqK4qDy1ECcksIiht08Zmn1+hsJ5brTU/lptRSlG2DqWTgqheTS/aOrFdXuQe3q0nXgEdmihtOwRBwHPkTRSsWkXpluSrIGilAuAS1/Q7mVNQELEDkth37ADZ3m6EF5XR8emnUfn7Ub5jB2U7/sScn0/Z1q24+mqh11wKfOOpdPJC8+IipB4DOXvOTOouLYVanaVeNy9n4gbKebECOnlcMVsbwlyil0N+KQVE1/bj2ekQtBxcGypL5HCDtRGUsoiVcxJyTsDhL+WfgDhZ2Oo1BUx6+aPbL6bVH9IllUbW7Mng4x3n0ZbUvyLgxs4d6ohZ1QR7q+ne0YVg7/YVO9t4qRQA51APBIXAXf3DGRrXgfN5Onw9DfxtmxxecHLcZBYmzkIUJU7nlPLVnousSjlvVZepuDcuAVtx9jrN+5O74u1Skxeru1qeFIi5YQzrh9/Zag8190HBGC6UkL81ncNpP9ZTQkAS/fAMcKF7jDeBaXIIyJM35vDTsV8ZevYu9HggCiLbY9by105yUk1zWTkXZz2M4exZVEFBRH7xOWZJ4mRyMl1HjkQden1MwDhw4MCBAwcOmmZop6FEeEVwOv98laBV1nDhgM7QeQyk/UqC6TNCX17C798d5OJePZmpheQOHYTv1KkUfvEFWU8/Q9TX67l51qNs/uhfSFWrYxUKBYaKiqtk3RWmdi7batQ+MOJ5OUSj8jJvpsvCSF8PlO/RgCjhHOGFc6htJwHyKvK4VHYJAYGeHXo2WvbCEVn4asg7qzaVqfLkibpLfNsb2UIuVAlaEd3bHm7QgQMHDhw4uJKYTfV7LplNos0ELQBBrYbKChRm2bPKZDQgiaIsELWkHoWAoFIgmUQk49UXtMzFxSBJqEJCCP3HUlwiIy2LvdP2ZQMQ2cMfZ3XjUoEkSTXhBofW77V0JfG8aSQFq1ZR9vvvSEYjwhUM3ak/fRoAdTMXGXW79wH2PXWAfB9POr33Hzyj5fDc3hMmIIki+lOnKPjiSy6m5IAkYXDxIWXQ33HTZaNbfhqQBSOlk4Lo3h3oMiiIsHhfFFd5rNTGXCjPmyt9XK6Is0lrcQha1xiFQkFsbCyKFt4I2zuN2iWaYcNMyD0JHkEw5UswlNes9pQkuLQPDqyGYxsg7zRsWgCbF8lhTgAEBUx4Wxa6mklWUQWr/jzHl3suUqY3AeDn7kxhuaF2RoAm82K11z4zZMoTOE61PtaDvV0J8lIzb+s8cityifaOZn7/+QAoFALxQV7MGhbNJzvPW4UnFIxBRHnFcq4knd8u/MYdcXfU7MxPByAirie0IdyiOdQZg6TH2eRCiFssGiOIxnTk/AwC0f3vIunOEfj7OJPzzkFEwG1QEO/pX+NC4AUu+ZzCqzKAUtd85g9/nCD3IESDgczHHqXy6FGUPj6E/2clTiEhqCSJ6FtvxcXOkiu317HYVuzVLrBf2+zVLge2x57Hir3a1t7tUggKpnWdxk+arwEwaMobPyBxDqT9Coc+x2vECwy7szvHfXM5uCmD5P+eZPJTj+F6/DgVhw9z6dHH6PblF0T26kuhJoudX3/JpRNH+fm9N5ny8hsoVe3zU6pZfXZpP2x8DKu8WAhw/08Q2O1KN7FVtHQsSmaRst1aADySGveKag3V3lmdfTvj6ezZaNnq/FkRPesPTVjbNv2pqtXAXbrYsLVNU1FmQHtOzhNhK0Grvd8/2oI92+bA9ri4XJ3QUFcbe7UL7Nc2e7KrIdHKlmIWgELtghlAr0ehVCKazZiMBpxcWr7IXXCSBS2xwoSgUiA0o6226DNJFDEXFQHgO+VuPAYNqtknSRZBq3Mzco1mnT5FkVaDk4uazgOTWtWetjxDXfv0Qenri7mwEN3+/bjXssXWVFYJWs3x0ALwD4vAu2MgxTnZaPO0FkELZA85dUICrtNnkZabWiMOCQI6d1lY9DNrSBjVma639sXZtX18Z5gKZI9Ela+a2NjwdvPe0z6uzv8wgiDg7e3ddMHrjEbt2rIETv8ihxy8+wsI7Xv5wRDWX/4Z8w849jXs/Qiyj9eUkUTY+CiU5ULPyeATVuc0muIKzuWVYzCJfHswkx+OaDBVqTadO3owc2g0E3uH8O3BTKvQfE3lxWqvfWasErScL3NBXXd6HVsvbkWlUPHa0NdwVVnbFuztWic84dJJ3SlVj+ftA2/z87mfawQtSYL8M/L//WOb1a6ywkqKcirw6eiKylnJ+SN5nEo5zdn9q+jh1Y2uPoPo7DMak4cPnbo64x9sIqJHNF4BHZDMIrkrjiLqTDiFerCr22kupFzAx8WHT2/7lLyKPMI8wwhyD0Iym8l66mnKU3YiuLkR9tEKXGLkEITttc/aisOu6w97tc1e7XJge+x5rNirbdeDXRNjJrJ678cAmPIrEPVmFC4NhEuLGgqBPSD7KELK23jHjGTQ8Gi0Z73RpBfz6+pUbn1jGRfvnoz+1Cm0i18i+NV/4OkfgF9IKJ88NZfss+ns2rCGwZPvuYpWNp9G+6wkC7Yvg/2rsBazkH/XFVzp5rWalo7FiuP5iKUGFJ5OuHazfc6z5oYbLM3PI/9SBggCYd171Vum2jZJFC2TJ+r4qytoZRwvAAn8Qz3w9LNNJIrr4f7RWuzZNge2RRAEVO10AURbsFe7wH5tsze7lCoFnv5qq7CDLq62CzdYjaCW59CkSj0qTzcMFRUY9fpWCVrViOVGxHIjSl81SveGPYxs1WfmwkIkkwmUSjyHDbPal32uhLICPU4uymYtaDnxxxYAOg9MwlndukXubXmGCkolHsOHU/zNN5QmJ18xQUuSJPSpLRO0BEEgpt9ADvy8kTP799B5QF3BrxwP2UnjMrqd/pTArN2wHXJ2jaXjE0/gHB7eNiNsgKnKQ0vlp25X7z3tQ1b7H8ZsNnPw4EHM5pYlBWzvNGjX4TXw51vy/ye+B536NV6R2gtuuB/Gvlr//uQl8FZ3eD8RNr8I53eAWQ4pmPRqMlM/2s19q/by7aEsTKJEYrQ/q+7rz6+PD2XyDWG4qJTc1T+cHc+O4MuZg9jx7Aju6t/4DaM99plkFjFoqj20alaIni06yz/3/hOAx/s+Trxf/aFL7uofzu9PDePlEf78/tQw7uofzi1RtwCwR7uHHJ2cHJLyPNCXAAL4RjXZrhN/ZvHp8yl8t/wgnzyXwsfzt7P5P1s5s/d9JHMe58rTkJAIdPHgrsd6MXxqP3qMGGiJwVuy6QKGCyUILkp8p8Sx4vhHgJwvI8o7iv5B/WUxS5LQLn6J0l9/RXByIuy9f+Hao4elHe2xz2yBw67rD3u1zV7tcmB77Hms2Ktt14Ndbk5ujOl6C/mqIgQEyvdnYypuIL+BIEDi3wCQdiyHTyYgvNuD0QNPovZwIu9iGbu3lxK6bBkolRR/9x35Kz6ifNduXAxGRj0kH7v7m7Vo0lKvloktot4+K9HAT0/D273lhWKiqe6BglKOmNBOaclYNBXrKdmSAYD7gOBmrYBuKYdzDgPQq0P9IlU11d5ZQTGdcfWo35Or2rbKCxeQdDoEZ2ecIyNt2t6muFCVayyih+3CDV4P94/WYs+2ObAtkiSh0+ms8zHaAfZqF9ivbfZol6uHM34h7ji5ys95k1G0uX0KtewhJRkNqJyc5fMYDC2up9ozqzbmwkqkBkIngm36TBJFTHnyM17p4VEnRF/aXtk7K6p3ACrnxvNnmgwGUnduB9oWbrCtz1DPm+Rzl21JvmLj2aTVIpaWgkqFc3Tz34+j+vYH4OyBvYhiXft8OrrWidwnKKDXv5fgffvtIAiU/vwLZ8aNR/v3VzAVFGDUainftRujVtsmm1pDdchBhY9zu3rvcQha7QBRbPjmdT1Tx66Le2SvKoAb50PPvza/Mr+YehRsAYL7yNtzTsCfb8Pq8RhfjcLj+4eYJPxBAMXVJVl1X3++nDWIEfEdUSis7x7B3q4kxvg3Ox9Ue+szY7YOTBKCWomqakWlwWzgme3PUGmuJDE4kekJ0xutI9hbTUKAkyU3WKhHKL069EJC4tfzv8qFqsIN4h0GTo2vRinO07H1v6eo/Wwx6dMxlK0FqRzf4HDuXv53XLv4AVC+x/rGXHGqgNLfLwHge2cc28r+5EzxGTydPZkSP8WqbO7ytyhatw4UCkLefAP3xMQ67WlvfWYrHHZdf9irbfZqlwPbY89jxV5tux7smtp1KqUKOYFy8cYzaF/dQ/neBj76wuX3hOq3QUES8Uh+jJsnB4IAx//IJFMRTscnnwQgd/lyMu67j/SRNxGYmU384GFIosjP772JsbL+fKzXlJJM3HL2Q0kmlGrh52fg7V6w50Mw6yE8Ce79Hm59VxaxQP53wlvtPkdWc8Zi+V4t2lf3YMqWx0OD3nptoNJUyYmCE0DTHlrNzZ8liiL6qvxZLrGxCFdxFX1Jno7zVYJWpI3zZ10P94/WYs+2ObAt9iQg1MZe7QL7tc0e7VKqFDi7CQiCgNkkYtTbdsJdUKksIpCySokwGRpYONUIDQlXjQla0PY+MxcXy7mmVCoEN+v0KqIokb5fXsDenHCDZ/bvQV9ejqd/B8K7NZ4/tCna8gx1T0pCcHHBmJlpyXNla6rrdYmKROHs3OzjQrokoHRRU1FSjDa9bts8fNUMvyfeMsUtKGD4tHh8u4QT8o+lRH37De5DbwSTicLPPiN9+AjSR4y0fIsUrV9vC/OajamgJodWe3rvsR9fUwftm6KLsGYqmA0Q/xcY8ULLjvcOlXNmff+4nEer+qO77ww5NMqZZPIPfY/zuWQ8jSX8Rbmbvyh3A3BYjGar2JuAYlcQh0M98T6NWi2G8xdwjoywJEW8nrCEGwzxQKgS6949+C6nCk7h4+LD34f8HUU9Lq1NMS5qHIdzD/PzuZ9lQaxa0PKPafS4rLQiflstf+RLYimiqRDRfBFzpdwnkb378Zd5z+Di5kbFQCWVqYXo9mfjPToCwUmJqUhP4Vr5g94jKQTX7v6s+H4FANO6TrPKU5D/8SryV8j7gl5ajNfo0S2204EDBw4cOHBwfRNg8sVoqJUnSYLCDWm4xPmi8r4s90DxxboVSGbCO2TTb2wE+3++wLbPUrntoZHAP2vKiCKaFxcx9IeNXDp5jEJNFr9/vopRDz5yRWxqFQc+RfH9PLpIItJOARTKGm+s8EQY/pwcdlEQ5H9jboKCszW5bK9zTMV6CjekWUVTLP75HK69OtQdB23gWN4xTKKJDq4dCPVo+LpJokjGMdmTq6H8WbWxTJ5cxfxZJ/7MYutnpyzXrEBTTnCsz1U7vwMHDhw4cNBmBHBxU1FZbqSyzIiz2rbT3Qq1GrPRiLIqjYlJr0eSJITLXW0aa2ID3uJXwou8GkmSMOXmAqD08UUoLrLan5VWhK7EgIubirCufk3WVx1usOuNwxGuYS4lhZsb7klJlG3dSumWLaivwHtTZXW4wc7NCzdYjVKlwj8qlpxTxzizbzchcV3rlEkYHEJ4gh/FORV4d3TFw7fGYUDdpQvhK1ZQvnMn2Uv/gT4trebAqm8R9yFDrtrctblQFm+VvmpoR5HJHR5aDq48hnJYMwXKcyGwO9z+Yb2iUpP0nQGPH4V7f5D/7TsDgKMFSu7bF06/45PppXufO40v8Y7pdo6Icki8XoqzPK7aQI+fb4c3OsM3s+W8XBWFABStX0/6yJuumdptCwxVgpZTVf6snVk7WX18NQBLkpbQ0a1jq+odHTkahaDgaN5RMkoyoKA6f1b9glZFqYEtn5zgmzcPUJpfiUl/FH3xSozl6y1iVsKwMdz+9Iu4VK0MUcf7yUq/zoTuSB6SWaTgi5OWvFne46LYdnEbqYWpuKncuKernK/CqNWS/c83yHn9dQA6/N+T+P61BV5/Dhw4cODAgQO7wZRXgcBlkwqSvL0O9Xr+Awc/Y8BNvoR09sGoN/PbF+cxKy7LayCKKHLzGfPI4wAc3vQj5w/tt5EVbaQ4E76fhyDJqycFJFnMCu4N07+F+3+G6GFYxTnxDoWoG+1CzIKq/q4nNVi946ANHMqVwwj27ti70cms3Izz6IqLcHJRExJXf+jv2lR7aF2t/FllhZVsqyVmAfz+ZSplhe3Q89CBAwcOHDhoBLWH/M6m15kQRdt6oglV+bIURiOCICCKIqKpnvDNjdWhUsiiQO1tatUVFbTEkhIkgwFBqUTp7VVnf/o+OdxgdJ8OTeYe0xUXca7qnbct4QZtRe2wg1eCtiwy8o+V3/nO7N/TYBkPXzWhXXytxKzauCcm0vH55+ruEEXyPlyBWGHbd9v6kJD7jKsAACAASURBVEwi5pIqQcvPdgvDbIFD0LrGKBQKEhISUFxDZftKYLFLQBaQtEfBLQCmfAkuHq2uV4MfKWJXNPhxUlPCrE/3MeFfO9iWmotSITC5fwRvzZ9F4MQl3G5cSv/K93ja+DAXg24GFy/Q5cHhL2H9A/B6DMa3b0azcCFUu01Wqd2NxSVtj31WLWg5h3pSWFnICztkD7jJcZMZET6iWXXUZ1eAawADgwYC8PO5n2t5aMVaHSuJEse3Z/L54l2c2ilfu9h+bpgqfsN6VkFg8OS7UShrQr8ICgH3gfLKgrIdmeR/lYohoxRBrcR/ajwoBT488iEAU+Kn4O3iLYuQI0ZS8J//AOA+ZAj+Dz3UItvsAYdd1x/2apu92uXA9tjzWLFX264Xu1QBrlyuZyFUbb+cKs9/qSrcnlR94JE1KN7vz+hBp3H1dKKwUOR058mX1SngHBFOZM8+9B7zFwB++eBtKspKbWxRCzAZ4NgG+OIukOoJBTL6ZYgZQZ2A/dcZzRmL9YbtaWgctIGDOXIYwSbDDVblz+qU0B2lquGk79W2GU7Lq3CvlodWUU4Fl0cykkQozrHNJMn1cv9oDfZsW1soKChg2rRpeHl54ePjw4MPPkhZWVmjx6xYsYLhw4fj5eWFIAgUFRXVKdOceo8cOcKNN96IWq0mLCyM16sWPrYHXF1tew9qL7TGrnXr1hEfH49araZHjx789NNPjZbfsWMHgwcPxt/fH1dXV+Lj41m+fLlVmcjISARBqPMzZ84cS5nmjLNq9Ho9gwcPRqFQcOjQIcv2bdu2MXHiRIKDg3F3d6d37958/vnnVscajUaWLFlCTEwMarWaXr168csvv7TkEtWxyc3NjR49erBy5coW13M5ze2z/Px8OnXqVOdaaTQapk6dSlxcHAqFgscff7ze45vq58WLFxMfH4+7uzu+vr6MGjWK3bt3W5U5cOAAN998Mz4+Pvj7+zNr1qwG7yeurq44uShROimQJAl9uRGA1atXIwgCXbvW9ZJZt24dgiAQ2YyclQpXWXSQKitRVuXRMjYz7GBGRgbjx4/Hzc2N4KhQnl/+EpKb/OyQ9OZ6312q73ne3t6EhoY26156OVbeWf7+CErrEMxms8iZA/L+5oQbPLnjdyRRJCg2Dv/QsBa15XJs8Qz1GD4cBIHK48evSG4pi6AV17lFxykUChJvGY9CqST/UgZFWk2r2+ASFVWvQ0jRl1+SPupm8v/zMaJO1+r6m8JcrAcJBCcFKk+XdvXe0z5a8T+OcwticV5PODs7w7ZX4eRGUDjB3Z+DT3ir6/tqbwaDX01m6ke7SfxHMre8vZ1NJ7JRCDCpTyhbnhzGq3f0pJOvG3f1D2fHsyN4Z+YtPPH0S4TNXg9Pn5W9u5Iegw5dQTKjP36o7ipOUcSQ3niS7/bUZ5JZxKip8tAKcWdRyiJyK3KJ8o5ifv/5LaqrPrvGRY8D4KdzPyHVI2jlXSplwxv72fZ5KvpyE/6dPLjj6X50GeBCnS9kJLS/baZ0yxaKf/yRoq83UPD55xhObwVEjJpyKo/I8fulijNolzzHkfvu4o53j7D0U5HxL20h/aZRaBYstKq7PCUFU3Z2i22zBxx2XX/Yq232apcD22PPY8Vebbse7FJ5u+A7qTOSUPN+ILgoG9Zw+s6Ax49gnr4RnjgmvyN2iAddHu6bH+bmkM9AAE1wEtqgATXHSRKVx48DMHTaffiGdKK8sIAtK9+/gtY1QOF5+O0lWJ4A6++H7KN1ywhK2SPNTmhsLJrLDBR9k269UQDfSZ1tGm5QlEQO5cgTnLbKnwWgNBgwXpTDYV4tQcunY92JTUEB3vVsby3Xw/2jtdizba1l2rRpHD9+nM2bN/PDDz/wxx9/MGvWrEaP0el0jB07lueff77V9ZaUlDB69GgiIiLYv38///znP1m8eDErqkLTX2taEpbseqKldqWkpDBlyhQefPBBDh48yG233cZtt93GsWPHGjzG3d2duXPn8scff3Dy5EkWLFjAggULrPp27969aDQay8/mzZsB+GutCC7NGWfVPP3004SEhNTb/p49e/L1119z5MgR7r//fmbMmMEPP/xgKbNgwQI+/PBD3n33XU6cOMHs2bO5/fbbOXjwYLOuUW2WLFmCRqPh2LFj3HPPPcycOZOff/65xfXUprl99uCDD9KzZ90cSXq9ng4dOvD/7J13fBTV9sC/M1uz6T0BUkhCDSV0gzQBASkWigoCKj58+gPF59MnKCqI5fF8oqgUG1IUFQULKEhXmnQkEBI6IQ1Cetlsm/n9sdlNNptOUMnb7+ezn2Rn7ty5Z+6dmbvn3HPO7Nmz6dy5c5XH1qWfW7duzfvvv09CQgK7d+8mMjKSIUOGkFVmgElPT2fw4MHExMSwf/9+Nm3axMmTJ3nooYdqlMutzEtLX2Sy73N3d+fq1avs27fP4ZhPPvmE8PC66SgFjXUeIRkMqDTWZ39d8mhZLBZGjBiB0Whk7969rFixghUrVzDnzVcR1AqQZSwFRqfjbM+8zZs3s379enbt2lXrs7QyUlERUmkpgiii9HMOJ5ialEtpsQk3TxXNW9ceajjxV6snVGN5Z13vO1QZEIBbnDWcc+H2xvXSko1GDOfPA6BtXb+QgwBevn40bxsL1OylVRuqkBBCX5lbbtQSRbzuvgtVixZYsrO5+uabnB00mGsffYSlqLjB56kOe/4sXw2CIPyl5j0ug9afjCRJHDt27C+VWK0xkCSJSz++jfBr2aqoUQsh/JYG15eRr2fWugQqew0PbBvE5n/0Y8F9cUQGuDvsC/V2Iz7an1Dvsh9kCpU1pMqQeTDtN5hxnELVoCrOJiN+cx+svBv2LYbsc06y/ZX6zHSlBMwyglbBt9kb2HF5B0pRyfy+83FT1v3HaHVyDQofhFpUcz7/PKcLrT+yixThXEy4xvZVp1jz+iEyzxeg0ii4dWwM987qTnCkJ4e/XeN8Elmm6LXXSZ02nfR/PkPGCy9wZd6rXFuyFFkWKhUNo+iX/aj3J9DhkkxMmoT59FlMaWlVNR7jpZR6y3az45Lr5qOpytZU5XLR+DTlsdJUZbuZ5HLvEULQv7qxMPpL0lRXkUstXFuZiGSsOjm45BHKsTwPJI9Q6xzx77tg8FxQ6QjL/5Ie7ta5THLsgxieeAn1yLsBSH9uJsaLF1FptAyf9jSCKJK8bxen9vxy44TLT4MLv0LuJUj6ET4bAwvjYPcCa1hvjxDo9y8YPLfc88yWc7aJhBOsaSzKZonsz09hyTOg9NcS/FQXAqZ2JGRmT9x7NG6OgQv5FygwFuCmdKONX/WGJ7PRSNopq/EzsnPNBi1JkjhZtnpdGRyM0te38RpcAyqtEqW6XCVgS0xeXfib+nIzPT/qS1OWraGcOnWKTZs28fHHH9OrVy/69OnDe++9x5dffkl6enq1xz311FPMnDmTW26pWl9Ql3o///xzjEYjy5YtIzY2lvvvv58nn3ySBQsW3BBZ60tJhRX0psxMin/bf0M8CiozYMAApk+fzvTp0/H29iYgIIAXX3wRucLi0NzcXCZPnoyvry86nY477riDMxVytly6dIlRo0bh6+uLu7s7sbGxdm+bknp6BixcuJBhw4bx7LPP0q5dO+bNm0fXrl15//33qz2mS5cujB8/ntjYWCIjI5k4cSJDhw5l165d9jKBgYGEhITYPxs2bCA6Opr+/fvby9Q2zmxs3LiRLVu28Morrzjte/7555k3bx69e/cmOjqaGTNmMGzYMNatW2cvs2rVKp5//nmGDx9OVFQUjz/+OMOHD+ett96qz6UCwNPTk5CQEKKionjuuefw8/OzG+ts7N69m759++Lm5kZYWBhPPvkkxcXVK7br0mdLliwhLy+PZ55xXiAdGRnJwoULmTx5Mt7e3lUeX5d+njBhAoMHDyYqKorY2FgWLFhAQUEBx48fB2DDhg2oVCoWLVpEmzZt6NGjB0uXLmXt2rWcPXvW6Zw2ubTuVoOW2WjBVDb/UyqVTJgwgWXLltnLp6amsnPnTiZMmOBQz7lz57jrrrsIDg7Gw8ODHj16sHXrVqtBSxBAklCI1nmW2eBsiKrM5s2bSUxM5LPPPiMuLo477riDefPmsXjxYixuVh2YVGJymKtWfuZ17dqVd999t9ZnaUUcvLP8/BCUzjnFzh60LgqP6RqEqKjZPJCVcpGrF88hKpS0ie9bpzbURGO9Q29U2EHDhYtgNiN6eKCswrhdEzbZWnbtAcC5w/trOaJmfMaOJWb7NsJXrCBm+zaa//vfRG/8idDXXkMVHo4lN5estxZwbtAgri39AEs9PflqwpY/S+mr/cvNe1wGLRc3hvSjRB6bb/0/fjp0eaDBVRUbzPxnU7KTMQtgat8oYoI8G1SvPq2IvJ1lK0QcVqkIpO/xxHzyF/h5FrzXFd7tAhufg7PbwPzXiilvSrU+rCzBSt48ZE1c/lTXp2jn7+xS3RA81Z70bWF9Yf2kVXBSP4QVb6bx46LjnNqTgSzJRHcNZMKcXsQNDgeLmY3PP8PFUwlWLyrbZFmW6ZiahVdIM9w6d0bXqxfu/fvhOXQonkPvcVopJIgKTJMfYMlwkUV3q/Fc8BphH39M84ULnUPmiCLqiIZ7/7lw4cKFCxcumgYaX3c69O7Ji+HvU6TUY0otIvfr08h1yaWgVEOfp2DaAWg3iu7uX+GruIzFAnsSgvm5aBBZccORiopIfXIGUkkJITGtuWX0fQBs+2QxhdnXGl+oIyvhnQ6wYhQs7ARfToCzZWGdowfCvausXmYDX4A+TyE9eYzk+AVITx6z55xt6uStP4fxQgGCRoH/g7GoQjzQRvs0qmeWDVu4wQ4BHVBVzrFWgbSkRMwmIx6+fvjVITSPmGJdnKVpU/+VwA3l922XMRslvIPcuPOpOCa/1pv2t9ZPcePChY19+/bh4+ND9+7d7dsGDx6MKIpOocQau959+/bRr18/h9XjQ4cOJTk5mdzc3AafuyZkWUYqKanbR69HKikhZ/Vqh/zdOatX172Oso/sFAWlZlasWIFSqeTAgQMsXLiQBQsWOISue+ihhzh06BA//PAD+/btQ5Zlhg8fjslk9XCZNm0aBoOBX3/9lYSEBObPn4+HR3kaCU9PTzw8PKr9PPbYY/ay+/btY/DgwQ7tGzp0qJPnTE0cPXqUvXv3OhirKmI0Gvnss8+YMmVKvT3Irly5wtSpU1m5ciW6spzftZGfn49fBe8Xg8GAVuu4KMDNzY3du3fXqy0VkSSJtWvXkpub6zDGz507x7BhwxgzZgzHjx/nq6++Yvfu3UyfPt1e5rHHHrP3haenJ8HBwU59VpHExEReeeUVVq5c2eDQYvXtZ6PRyIcffoi3t7fd68tgMKBWqx3aYAuXWNO1FBUiGp3VeFNawUtrypQprFmzxm74Wr58OcOGDSM42DHUXlFREcOHD2fbtm0cPXqUYcOGMWrUKC5fvoxY1q9PPfMM0Z3iaB4dU+24r3gtOnbs6HCeoUOHUlBQwKmzSYhu1rZW9NJqjGep7XmBIKDw93fabzZZOH/MavCK6VF7uEGbd1ZU1+7ovKo2ZP4ZeAy0OikUHziApbDxwn+Xhxts3WAP26gyg1bqqROUXqeRSRUSgnuvnqhCrIu0BJUKnzGjif7pR5rN/zfqyEgs+flkvfMOZwcOImvRIiwFBdd1TgBzrs1Dq3EWOjUmziZaFy6ul4IMxDUTESQjcsxghNudV7bUBYsks/ZIKv/9OZmrhc6uvApBIDKgbpOMyshGIxkvvAAWC17DhxP0r2cxXkpB1KhJ/cfTGDMySDnUnvCxPiiz9kPOedi/FPYvRVTpiPaLQ7CMhTZDwbtFg9rQWBjTrA/tHeY9lFpKiQ+NZ1L7SY16juEth7MtZRsHLXGo8x9z2CcI0GdcK9x9NBRu384v775FskYAWSYu5Sq+xXpK1Cp0RhNuFpmIdT/YH8I2zPkGMv99oHK6LZZFJ7PDX+T+NvfS4pbR9l3SvFfIeOlla+4zUST0lblOdbpw4cKFCxcu/je5p9U9LDq2iDnNF/Pm5X+iT7hGQeAlvIdE1q0CnzC47zNK9qwhb1W5kkpG5ITPMPoEHYfTp8mYM4dm8+fT6577OH/kEFfOn+HHd98kfux4/Jq1wNM/oOFCGIvh4h5I/B6Ofea8v/sU66Ix/yrCCXo1pyggDryahmdWbRT9lk7x/kwQwG98W1RBDft9UFds4QbjAuNqLHfmwB4AmrVpVydliJBijYSgbdP2OltYN0qLTfy+1WpEu+WuaMLaOocjcuGiPmRmZhIUFOSwTalU4ufnR+Z1eCPVpd7MzExatmzpUMamQM7MzMS3Cq9Hg8GAwVCuZygoU/5ZLBYsFqu3hCAIiKKIJEnIsmz/AMh6PclduzVYLiSJK6/M48or8+p1WOvDhxArGVsEQajW0BUWFsaCBQsQBIHWrVtz/Phx3n77bf72t79x5swZfvjhB3bv3k3v3r0RBIHPPvuM8PBwvv32W8aNG0dKSgpjxoyhQ4cOAE7X+ciRIzU+47y8vOxts/VlxbYGBweTmZnp1P7KMoWFhZGVlYXZbObll1/mkUcecdhvK//tt9+Sl5fHgw8+iCzLTvXU9P9DDz3EY489Rrdu3UhKSrJvr+7arlmzhoMHD7J06VJ7maFDh7JgwQL69u1LdHQ027ZtY926dfYxVVVd1fXfc889x+zZszEYDJjNZvz8/HjkkUfs9bz++utMmDCBGTNmANCqVSsWLlzIgAEDWLx4MVqtlrlz5/LMM8/Y5SgtLUWr1Tr0me3cBoOB8ePH85///IewsDDOnTvnsL+661B5e2ZmJsHBwQ7bg4KC7PerbfuGDRsYP348JSUlhIaGsnnzZvz9/ZFlmdtuu42nn36aN9980+51NnPmTAC7l1JV7ZJlGa27CkOJmdJik92bJC4ujqioKL7++msmTZrE8uXLWbBggZOMnTp1onPnzvbvr7zyCt9++y3ff/89fx89GvR6Xn7mWR6ZZNW5+bcIQ1QonK6BbexlZGQ4XQvbsykjI4POHTohlZqRS81IpWYEjYKMjAyn+0ShUODn50dGRkaNRm3bWLJ7Z/n62r2zbGPAYrGQmpiPsdSCh6+G4EhP+/i01VHxuSdZLCTu2gFA+/6DHMpWLF95uyiKCIJQ5XabDBX32YyXlT2AFGXXt6rtqsgIVJGRmC5epPCXX/C84w4UCoW97dXJVFvbS5Ot97+6VYxTG6uTydZ22z7PgCD8W4SRnXqZc0cP0rZ3vzrJVLmN1W0XBAFRqcRz1Cjc77iDwo2byPlgKcbzF7j23vvkLF+Bz8QH8J04CYWPd4P6yRZyUPRROzzDqmt7Q2SqfN664jJouWhcTHr4cgJCYQZ6jwjU93xsd8etD3vOXuPVH09xKsM6qQz309GvVQBfHEjBIluNWa+P7lAeTrCeXPv4YwzJySh8fQme/QJKPz+7QSRixXIuTZyEIe0qKZuDifjwdxTXjsKZn+HMFoTCDHyu7IWf9sJPQFAstLodWg2BsF6gqHBb5adBzjlr7oIbFO7FmGa19O/nGD4aH17t8yqi0LjOl7f496bfpdG0Se9D5YzrsgxX9yei+PwdEi+cJrm5VXkT37kn7ca0JXPuK7gVl9ZoeLLlvchdd8Zq1BKgcLCGrak7UYpKHun4iEN5n7Fjce/TB+OlFNQR4S5jlgsXLly4cOHCjpfai3ti7mF10mrWt93HnYnxFG6/jDJQh3uXoNorKCPPFISM448yGQW6WCOmLCj4YT26jrH4TnqQO6Y/zcpnp5OWdJJvXp2NIAjc/ugTdBw4pPoTVJwnejWDKyes0QDObYOU38BSQyib2NFVG7P+xzCczyPvB2uOA6+hkbj9AUaZY1llBq2g6g1aCds38/sWa56T0/v3krB9c81jgYoeWn9M/qxjW1Mwllrwb+5OdJfAP+ScLm5OZs6cyfz582ssc+rUqT+oNY3HG2+8wdy5c522Hz9+3O5h4e/vT2RkJBkZGZhMJvR6PZIkoVKp/jRlmsViobRC2DhRFHFzc8NsNmM0lr83FAqrHqZnz57o9Xr79h49erBgwQL0ej3Hjh1DqVTSsWNHTCYTarUaDw8PWrVqxfHjxxkxYgTTpk1j+vTpbNq0iQEDBnD33XfToUMHNGU5hVq0aOGgqHRzc0MQBIfQdiUlJXaPJ4PBYN9X0ahSUotMP//8M3q9nqNHjzJz5kzCwsK49957AauBU6PRYDQa+eijjxgyZAg+Pj52mQwGg11pWlpaHnGntLTUrnxdvHgxBQUFzJo1y6mMzThRsY2//PILU6ZM4YMPPqBly5b2fW+88QYzZsygXTvrYoaoqCgmTpzIqlWrAKrsJ61Wi8lksnvFgVVp/OyzzzJhwgRSU1OZPXs2U6dOJSIiwn4djx07xokTJ1i9erXDcZIkkZiYSNu2bfH39yc4OJiSSt59FfvJ1vaZM2fSrl07HnjgAUpKSuzXQa/X4+vri8VicTAC265dZZlsVJSp4n6j0YjZbKZXr17s3buX/Px8li9fzr333suOHTsICgqiZcuWfPLJJ/zrX/9i1qxZKBQKHn/8cYKCguzjRq/XO8gkSZJVCS8bEUSQJZnSEqP9ujzwwAN88sknBAUF2T2xFi5ciCzL9mtQUlLC/Pnz2bBhA5mZmZjNZvR6PRcuXEDUaLEA/jod6ugoZIsFz6Bg3D297EbHirKr1Wq7wt5Wf0UPO4PBgN5YikIjIJbKWPINmDysx9raZPP2s8lqNBrt95Msyw73tiAI6HQ6zMXFSGUeQSZ3dyylpfb7yWQycfxwImd3WNsT0y2IK1evkJGRYa/H9txLSUkhOzubnAtnKcnLRa1zJ6pLd86fP29fAAAQERFBQEAASUlJDvdOTEwM3t7eHD9+3MHI0b59e/vzKSGhPP9rXFwcRqORxMRE+zZRFOnSpQsFBQUOoSa1Wi2xsbHk5ORQEhuL6uJFLq9dh7ZNG1q1akVmZmaNMtkIDQ2lWbNmTjL5lOXLzfXyJuPYsTrJpFarOVahbEJCAi279iQ79TJHtv5Mqc6rzjJdunTJvt3Ly6tuMrVoDnPn4n/6NNKXX2I4c5acJUvJ/nQ55qFDCHn0UYKio+vVTzYPrcv5GRgSrEZSSZIwmUz17qfqZKoY4rY+uAxafzKiKBIXF9dgV96/FLIMPzwB6UeQ3XxRP7gWUVd7YsGMfD0XrhXTMsCdYoOFN346xbakqwB4apU8ObAVk3tHoFEqmDYwhovXSogM0DXYmGU4c4ZrS5YCEPzCC07JEdXh4YQv/5RLkyZjOHWKlGlPE77sExTtRoIsI2cmIJ/+GeHsVoTUA3D1pPWz5x3QeEPMQKtxS58Lm2eDLFkD0o9aWG3Yl8Lsa+RmpOMb2qxeq3lls4QxvQgBOKtNYW7vuQTp6q6oqUhVY1GWZJIPZLJ33TnaF1hd+mVkhApGLQGZ/Oemke1mJjHCutIk/u5x9B7/IAAe/fvXyfDk3iMETWtfzNf0KAPcePWAdZXRXdF3EeLufJwqJKTOhqwmdZ9VwCXXzUdTla2pyuWi8WnKY6WpynazyjWx3US+SPqCJfIqRtxyO4rfisj95jRKXw2aSGuolNpk82kZicBZZIco7TJqbxnfzvlcPeZN5htvoM3bgrrfRIcfgbIss+Wj94ns3NV5bifLcOAj2PScdZ4IoPECQ6XQIN7hEN4LEr7BwY1dUIBfVLWy36x9VhuV5TLnlJL9+SmQZNw6B+LZ/8ZHTcjWZ3OpwPqDvHNg5yrLFGZfY8uH75VvqGkslCEAyrQ0ZEDb9sYbtPRFRo5vTwWg58goBLFh4XRqo6mORWjaslXmn//8Jw899FCNZaKioggJCeHq1asO281mMzk5OYRcxwLEutQbEhLClStXHMrYvld37lmzZvH000/bvxcUFBAWFkanTp3w8rIqHm2K89DQUC5evIibm1t5ODmVitaHDznVW523jenKFS6MHGWNMmJDFGm5YT2q4NpDftnbo9WiqsIjSqlUoqwiT45NyV2xHFgV6zajlE6nsyuYNRoNoiiiUqnQ6XQ8+uijDB8+nA0bNrBlyxb69u3Lf//7X5544gl0Oh2enjWngHjggQdYutSqfwkJCSEvL8+hPVeuXCEkJKTKEH8VZWrfvj0A3bt3JzMzk3//+99O4zIjI4MdO3awdu1ah/pscgIO4QAr/r9nzx5+++03h7IAffv25YEHHmD58uX2On/55RfuvfdeFixYwIMPPuhQPjw8nO+++w69Xk92djbNmjVj5syZREVFOclUEZVKhUpVHsZWEAQCAgJo164d7dq1o23btnTq1InevXsTGxuLRqOhpKSERx99lCeffNJ+jG3shYeHo1areeyxx/j888+dzleRwrJQbbt27SIhIYFvvvkGwKGuF154gTlz5jhcV9vzr7JMtvuxoky5ubn2e1GtVqNWq9HpdAQGBtqvc6tWrfjiiy+YNWsWAJMmTWLy5MlkZmbi7u6OIAi89957REdbF/TYQhDa2mq7X3U6HbLJQEm+Edki2K/Nww8/zIsvvsj8+fOZNGkSSqXS7p1ik+vpp59m69atvPnmm8TExODm5sa4ceOwWCwIZeNlxvPP88X69da12NV4J9quabNmzTh8+LDDdUtNtb5/IyIirG3VypivlCCbJDSyxu6NaDtGp9NhNpvJzc0lPDzcvr3yvW2/Ftk5ACh8fNCWPcts/YQkcuqnYvR51ueQQiUSEhLiEBLRJlN4eDg+OjfO/bgWgHZ9+qNQquxjuXL5VqEtMWeXovTXovDW2MdHp06dHMrbPLQ6duxov/627Vqtlrg45wVDXl5eVW738/NDe/99XP7xR9QnTtAyzBriuSaZwsLCnLZXlun8hYsARPTti1uF89YkE1iNcjajsiiKXPHQceiHteSlXKBjhw4oKtwnMT3eTQAAIABJREFUNclUlVdxnWXq1g1h/Hjyf95M9pIlGE+fRvX9D+Rs2QoPTCBm8mQHPXhNMuWWGbRiurRF2cwdSZJQKpWoVKp691N1MlW8j+uDy6D1F8BoNDrF2L0p2b0AEr4GUQnjVmD0aEFtUn11MIVZ6xKQ5DK/H2ukOpSiwMRbInhyUCv83MtXMIR6uzXYkAUgWyykz54NJhMet92G14jhVZbTREURvmwZKZMnU3r8OJf//hjhH32IqNNRqArlqucAgu56CC+dAs5thzOb4cwW0OfAyW+tH4cTS7D+KYge5OSplbB9M1s+fM/+Aq51NW8Fsi9nIkhQKJbQJ/Y2BoYPbNB1sVFxLGalFPLrl8lknrcqV9TaHL6NXEP8eV/8DGOtyhTZQpvkL8hXGzkeEQpA1zvuJP7+csNdfQxPSm8NSm8NCVkJ7Enfg0JQOHlnNYZsTQmXXDcfTVW2piqXi8anKY+VpirbzShXmFcYA8IGsOPyDlYEref/2o+lNDGb7FWnCJoWh9LPKk9NsnlERDKg3yF2/uqNjAKbG/mvytcY98h+9G9/SuF5idRlB1Ce3Q1yB4fjZUkib9siPL2NUJgBhZnWvwXpzjlZDQWg1ELLftb5Yswg8I+xxnZu2c86j5Qt1vnXqHdq9fy/GfusLtjkkgwWslcmIhWbUTX3wHdMqwbnOKgPNu+sGJ8YvDVV55DIzUh3Dj0kSeRlpldr0DKlpiKXlCCo1agjIxu1zVVxbEsKJoOFgDAPWsZdR2jMOtBUxyI0bdkqEhgYaFc610R8fDx5eXkcPnyYbt2sofi2b9+OJEn06tWrweevS73x8fG88MILmEwmuwJ9y5YttGnTpkolGliNHJWNF2D1mLEZd2zYlK62j72su3ut7beFZ9K0bEnoK3OdQudro6pfoFAfqnsGHjhwwGHf/v37adWqFUql0roC32zmwIED9O7dG4CcnBySk5OJjY21HxcWFsbjjz/O448/zqxZs/j444954oknkGWZo0eP1hpy0LY/Pj6e7du3849//MO+f8uWLcTHx1dZR3X1yrKMwWBw2r98+XKCgoIYOXKkw766/P/uu+/y6quv2utPS0vjjjvu4KuvvqJXr172sjt37mTkyJHMnz+fv//979XK7ebmRosWLTCZTKxbt87uTVadTLVtDw8P57777uP555/n+++/RxAEunbtyqlTp2jVqlW17Zg3bx7PPvusXS6b3qmq67B27VoHj5+DBw8yZcoUdu3aRXR0dJ3bHh8fz7Zt23jqqafs27Zu3Up8fHyNskqShNFodNpvM4QtW7YMrVbLkCFDHOqpHIYNwM1dTUm+EYtJsm/39/fnzjvvZM2aNXYjq6287e/evXt56KGHGD3amvKiqKiIixcvMmDAAESt9Xkx+/HHmfb0P9AXFqL18MSzihxVtvp69+7N66+/TlZWlj106pYtW/Dy8rLfY4JCQOGpxpJvwFJoJP4W6zPvyJEjdO3aFVmW7c+8W265pcb7TSotxVJo1eEpAwMdykoWGUOxmYpTlCM/X6JDv+Z4VJEj6eTOrXZdJYDW3eq5Wvn5CFB8MNMh4pLv6Fa49wiptjxYvU1VKpWTPFWVFwShyu2iKOLetSsKPz8sOTkYjhxB2bt3tYtNqttesW5Lfj7msvCYbm3bVHne6mSyhd2zvYtCW7VG5+1DSX4emWeSCO9QvhiqJpnq0/ZqF+bdMQzvoUMo2r6drMWLMSSeIvujj8n57HN8x4/Hf8rDyGYzpRcvoY6McNLbyiYLUqHVw1Llr0NUKOxyVdf2hshU3bWsDZdB60/G5gocFxfX4E78S5D0I2wry5V1x3+QIvqQeOxYjXJl5OvtxiwoW3cqQ5+YAObeFUt0oEeVx10POStXUfr7cUQPD0LmvFzji0DbpjVhyz4h5aGH0R8+zOX/m0b++LFs/XRpJePTWOg4FiQLpB2xGrdOrLWGkKmIbLHm4qqggLCt4KwY+7e2FZz26mSZ73Z9xTC6k+aRxbM9n234hQEKsvUc3pdAh05tSdydwcnd6SCDUqOgx/BI2iU+y+9XShizGQya4+jdAnHTZ1GiLOVgmwhki5n2fW9jwOS/XbdC4cPjHwIwImoEYZ61J9GujSZzn1XCJdfNR1OVranK5aLxacpjpanKdjPLNan9JHZc3sH68+t54u7pqPJKMaUXc23FSYIe74ysEmqVrf2EsYTfepH8i5fQBoexYWUG+dcM7LgwlMFfPoph9F0YUzOxJGgRAq1+7DYEZHx+fx9UNYQOrMj9X1g9/SvTdbLVyJVz3uqZVYsx62bus5qwydW5U2fyvz6NKbMY0UOF/+T2iOo/Rs49ada8WK19W1dbRlmFglwQRXxCmlV7jL4sV4s6Jsae6+JGUVJg5PgO6+rwXqOibqghsKmORWjasjWUdu3aMWzYMKZOncrSpUsxmUxMnz6d+++/n2bNrOM/LS2NQYMGsXLlSnr27AlY8+1kZmbawxQlJCTg6elJeHg4fn5+dap3woQJzJ07l0ceeYTnnnuOEydOsHDhQt5+++0/52JUQq/Xo9Pp/pTQ+SkpKTz99NP8/e9/58iRI7z33nu89dZbgDXn0l133cXUqVP54IMP8PT0ZObMmTRv3py77roLgKeeeoo77riD1q1bk5uby44dO2jXrp1drpiYmDo/R2bMmEH//v156623GDFiBF9++SWHDh3iww8/tJeZNWsWaWlprFy5EoBFixYRHh5O27bW/IK//vor//3vf+1eSTYkSeLTTz/lwQcfrNIDqrZxFh4ebi8ry7L9vo6OjqZFC6sH8I4dOxg5ciQzZsxgzJgx9pxQarUavzKPh/3795OWlkZcXBxpaWnMmTMHSZL417/+VadrVNv169ChA4cOHaJ79+4899xz3HLLLUyfPp2//e1vuLu7k5iYyJYtW3j//fcBa+4qmyHFFsZOp9NV2Wc2zycb165dA6z3to9PefQlW1i1oqIisrKyOHbsGGq12u5FV1s/FxcX89prr3HnnXcSGhrKtWvXWLRoEWlpaYwbN85+nvfff5/evXvj4eHBli1bePbZZ/n3v//t0BYbtnvMhkIlotaWjYMKBpzly5ezePFi/KswQoH1nli3bh2jRo1CEARefPFFuwe+oFQiqFQE+fsTGBpCQV4uKq0W/+bV66yGDBlC+/btmTRpEv/5z3/IzMxk9uzZTJs2zW5QP3DgAJMnT2bjF+tpHhhCm7Bo+zNvyZIlFBYW8sQTTzg886rDnGXtM4WXF2Kl+YjFIjmVlyXIv6p3MmhV1lUCHPj+GzrfPtxJV2nON5C7tkLYOBly151B09oXpbfznAga9x0qKBR43DaA/LXrKNy+A/cy43xDMZSFwFM2C0VRwcOtrlSWrWWX7pzcuZVzh/Y7GLT+CARRxHPwYDwGDaJox06uLV5M6YkT5CxbRs7KlWCxWL1KyhZY+Iwdaz/WnGsNLypoFIg65V9u3tP0/eNd3HgyT8Daqdb/e0yFHnXzqPnxeIbdmFWRabfFNIoxK7M4kwMZB8gstk4yjJcukbVwIQBBz/2rTm79brGxds+s7MMH2bJsiZPxqTDb+sJAVEBYDxj4Ajy43hpmsCJVhIepaQVnbXx9+mss6dbVMy3btsVN2XDPtcQ96Xz+4m+c+rGYr984zMldVmNWqx7B3D+jNRGXN5P+RQHTvrV60mkNefjmncEglnCoZQgWi5mobj0Z8tgMhOsMu5GUk8TO1J0ICPyt49+uqy4XLly4cOHCxf8u3YO7086vHaWWUr65uBb/B2MRPdWYr5SQ80US5pxSVFctWPINNdbjERFJ8/798W8bxdCpHRAVAueOZHHyUD4tlnyI4OaGnC7Qy3wZoYLWRC2a0UTdAvHTYchrMOYTeOgneHhj1fPEwBpCzXk3h5Z9b1hO1puJop2p6E9kg0LAf1L7apUljc26M+v4+vTXAGy8sJF1Z9ZVWS5h2yaH74IocvvU6TUuVjMkJwOgaV29oayxOLr5EmajRFCEJxEdq1bouXDRUD7//HPatm3LoEGDGD58OH369HEwVphMJpKTkx1yES1dupQuXbowdapVp9CvXz+6dOnCDz/8UOd6vb292bx5MxcuXKBbt27885//5KWXXuLRRx/9A6SuH6qQENx79fzD8kBPnjwZvV5Pz549mTZtGjNmzHC4Lp9++indunVj5MiRxMfHI8syP/30k93TzWKxMG3aNLthsXXr1ixevLhBbenduzerV6/mww8/pHPnznzzzTd89913dOhQ7uGckZFBSllOQbAqh2fNmkVcXBzdu3dn0aJFzJ8/n1deecWh7q1bt5KSksKUKVOqPHddxlltrFixgpKSEt544w1CQ0PtH5s3D1hzbs2ePZv27dtzzz330Lx5c3bv3u1ghFm+fHmDFhO0b9+eIUOG8NJLLwHWEGG//PILp0+fpm/fvnTp0oWXXnqpVqPH9dKlSxe6dOnC4cOHWb16NV26dGH48PLoR7X1s0KhICkpiTFjxtC6dWtGjRpFdnY2u3btIjY21l7PgQMHuP322+nYsSMffvghH3zwgZMhMzIykjlz5lTZTq2HdQzLlHtxubm5VWvMAliwYAG+vr707t2bUaNGMXToULp27WrfL5Z55SrKjENmo6HKEKM2FAoFGzZsQKFQEB8fz8SJE5k8ebLD+C0pKSE5ORmpzKZkKTTx2cpVtG3blsGDBzNmzBhuvfVWh2deVViKi7Hk5wFW7yzntjjr6gQRvIOcdYl11VXKJgt531aRA0kG8zW98/YbhOegQQAUbt9WY3/UhdLTpwHQtmqcOVl0d6sn8bnD+6+7bQ1FEAQ8B95G5NdrCPtgKZp2bcFsxu6uJ0lkvPQypjIjPWDPn6X01fwhURDqi8tDy8X1UZQFX4wHUzG07A/D3qj1kCsFpbz24yl++N3ZaKMQBCIDnGPA1pd1Z9Yxd99cJFlCFERe7vUi3V5bj1xaii7+Fgerc224xcUR9sFSDs54wmlfteFDvJtbc2atn1GeG6Hv005KCA+/qhNXewfVPLk9n3+eNw++yfxSa56p0JiIOkrjTFZKITtWJTlt7x8P3geXkP72L9YHHUpkUQZJoFSlINvdjVPNAjArFDSLbs3Ip55ziAfbUGzeWcMih9HSu+V11+fChQsXLly4+N9EEAQmtZ/E87uf54ukL3go9iECHmxP1gfHKU3OpTQ5Fz/g6q+HHUKj1ERIS296j45h99dn2Lv2LMHPdCX01Xmk//MZ/E6auLfHcQrVGn4tiaRI0vKbOIR+Q53nkNZ5Yv3CCP6vY8k34J5opOjkZQB8745BE1H/lbMNIbM4k7l759q/y8jM3TeX3s16O+R6zU69zMmd2wC465nZaHQ6fEJqz5FrN2i1ubH5s4rzDST8kgZAzztvrHeWi/9N/Pz8WL16dbX7IyMjnRR6c+bMqVYhXdd6warc37VrV53b+r+CSqXinXfeYcmSJVXu9/X1tXtDVcV7771X5faGKmbHjRvn4IVTmeXLlzt8f+KJJ3jiiSreo5UYMmRIjW2qyzirSEREBJIkOTwnly9f7tS+yvTv35/ExMQay1y4cIH+/fvXWObixYtVbt+0yXHRRI8ePdi8eXONdTWUAQMGVHlN69L3NfWzVqtl3bqqF4VUpKZxCVZD0JUrVxgwYECV+zVuSsbfN5H7xz2AsdSCxs1ZX/XUU085hEaMjIxk+/btDmWmTZtm/1/QaqGwEMFksuYsk2QsJhNKtZrqiIiI4Keffqp2v+06y7KMOUuPbLTgrfRg9erVtXrV2TDn5GBKL9exSno9YqXcRKJCcMiZKYgw4IG2VYYb9A1t5pQPsLK3uSmrhJzPkzBlFlfdpryaF4w1Ju7x8QhaLeb0DAxJSWjLvEgbgiHZatBqrEVGkR27oFCpyL96hezLlwgIj2yUehuCIAh49O8PGg2XH3rYcackkb/hRwL+ZnVSsZQZtBRVjI+/Ai6D1l+AmzaRrNkAayZBforV82jcclCUJ7GsLJfJIvHpngss3HqGYqMFQYBeLf04cCEHSbYas14f3aHGHFmF2dfIzUjHN7T6H4aZxZnM2TsHuWyFrCRL7F4yh3YHLAhuboTOm1fvH2+6Hj0oHtwfkk867pBl8v7xDGZPL0Sdzvpx1yHY/tc+jXjhZ8SC84g5PyCWdkH08ETU6RDc3Ni7YW2V5zu9fw/dR95T5b6StMssXTMdT4WRKIPV9V3douZErJWRJZnLSTkk7k7n/LGsKssULHkHRZ51pYW2dQQ+3r/j0S2Sf5/RoMtyt+Z0ANzd3Bk9ex4q9fWvjv0t/Te2XNoCwNROU6+7vorctPdZLbjkuvloqrI1VblcND5Neaw0VdluZrmGRQ7j7cNvk6XPYtPFTYyKHoX3yJbkfVshNHQdQqNUpNPAFmSczePc0Sx+/ugE9z0/BN9Jk8hdtYrCg+6AQBuvHA63bMbhLVuJvf1u/FtUCkdTzzCC9eVm7rOqsOVm8CjTq2iivetkgGwsUgpSkHAM1SPJEpcLLzsYtHZ/uRJZlojpcQsxPW6pc/2GMuWnIuDG5rM6sukSFpNESJQX4e2rXljX2DS1sViRpiybi8alqRqPm6pccGNl27hxoz0k4B9NU+qzHTt2MHDgQAYMGOCQ+8uGIApo3VXoC42UFhmrNGjVF5uHllxailKjwWQoxWw01GjQqiuCIKDwVmPO0iMVm5A8VAhKsdY+k0wmB2MWgCk9HdHTE1FVrqM16s3Ikoy7WmTQ6Ej82vjhVc3CIE//AJq360BqYoK1bZW8zUuOXSV33VlkowXRQ4UuLpCiPekO4R3zvzuLOlhXrb6yMd+hopsb7rfeStG2bRRu2359Bq0yD63rWWRUUTaVVkt4h85cOHqIc4cP/KkGLRuayEgQRWs+xwpk/fe/lB4/TvDM5zDnWA2StrzD8Nea97gMWn8yCoWCLl26/NnNqD+yDBuehpR9oPGG8V+BrvxHUWW59p67xsvfn+TM1SIAuoT7MO+uDnRo7k1Gvp6L10qIDNDVaMxK2L7ZHsO1PH/VEIcyJouJd4++azdmAfgXyDyw3QKA75PTUZfFP64P2WmXST5zqlx2W+JIWaY46wrKlMu11OANFMLmZ+xbUn09SQ4PAlmmy8VM1BaJfG8PkgK92bXyY5QfL8fHzb3MUOaGqNNhzMig5MBBHgYe9g5HeZsCQS0gmfKRLSqESnFMc5Mvk514Gf/2Yfi2CaM4z0Dir5dJ3J1GUYGlvGAFmazfLbirDPg9/DA+o+9Bc20z/LyPAu8o3K7lUyE9BMWlJRj1ejS62hPi1sS6M+t4ee/L9u8J1xJo5Vt9ctP6cNPeZ7Xgkuvmo6nK1lTlctH4NOWx0lRlu9nlUilU3N/2ft47+h6rElcxMmokyqqiAZSFRqmLQUsQBG6b3I5rqUXkZ+nZujyR2ydOJHfVKmyTpOACPUEFJVz10rH90yWMnf2as0LCu/kN8cq62fusMk65GQDD+XzM+YY/LNygt8bbaZsoiA65XjPOJHP24D4EQaTP/ZPrXHfOZ59jzrCGeMl87jkEQ2m9oknUlaLcUmtYcaDnDc6dZaOpjcWKNGXZXDQugiA45PZpKjRVueDGy3bgwIEbVndNNLU+GzFiBCNGjACoVi6th9WgZSgxY7FIVYbdqw9CmUFLMhhQenpgMpRiMhrQUr9F5tUhapSIbkokvRlLvhFVgFutfSYbqvaEkg1GKDNoybJMSZERhQC9tCLK7Zcp2HEZRTURCoz6Eq6ct+ab6zdxCm1798PTP8AaYnD9eYoPWOctmihv/O5vi8JLjUffFta5tK+G3G/PYjiTx7Xl1ry1Sn9HXe+NeId6DhxoNWht30bg9Gm1H1AFsiyXG7RaN0wfWZVs0d16lRm09tPrnnsbVG9jogoJIfSVuWS89LLVqCWK6Hr1pOTAQQo3b6Zo1y68Rs8DvOweWn+1eY/LoPUnI8syBQUFeHl5NeqPClNmJsaLl1BHRtyY2My/LYZjn1l9VMcug0BHV8z0vBJOpmQR5OPFx3susr4svKCfu5qZd7RlbNcWiGWurqHebjUassA5IaEtf1Vk5672FQJJOUnM3j2b5Nzk8gNlmambJHRGSG4O72iXM+G4mfva3FflD9OqkGWZ7cuWIEkSgQUlxKZepUSt4lyQL9leOn7v2p4x9z2EWpKRikuQSip/ipFSE5FSjiFLSiSfduSZTJx0t75IW1/JJbTAGkPcr7iUHLWSq97uHJBK6H3sNIpK3ty2UaLysYYZNKWe5Fz/qSCKKPz9UAUGoQwM5IIhlATNrdY+2pSMp3E3RepA5LKcDUpzCcFXDtIsfQ+FnuEktRlvDXkjW2ib/AXR81/Gw5ZMMXkxV0vd2XDAgNMolWXOXzxBZ/8BdbqeVWHzqqtIVWFcGsqNus/+bFxy3Xw0VdmaqlwuGp+mPFaaqmxNQa5xrcfx4fEPOZVzisNXDhMX0NE6oao4xxJAGVD3fKQaNyXD/t6Bb+Yf5tKJbI6oC6icorx9WhbZvtGknDhO8r5dtO3drzHEqZWm0Gc2pFIzuV+fdt5RDwNkY/DDOcccK6Ig8nL8y/Z5qizL7Fq9HID2/Qfi3yK8TvWaMjO58tpr5RvKchi49+nT6L/hDm+6hMUs0ayVDy3a+jZq3dXRlMZiZZqybC4aF1mWsVgsKBSKP3ys7Ny584bV/WfKdaNpqrL9L8qlUitQqhWYjRYMxSZ0Xtc3bxDUauticElCWbag3GwwXledlRG9NEh6M3KpGanUjKSkxj6TqvBOAxA05V5jhmITgllGLVRYny5D7tozGFIL0XUKRBPhhaC06guT9vyKqVSPb2gzuo+4G0EUHUMMCuA5MByvQeH2MIZKb419XuY/sR1ZS49jyijm2qcnCXy8Mwr3cm+xG/EO9bhtAIgihsRTmNLTUTUgl5wpLR2puBhUKjQtG5YCpSrZorr1gI8h4+xpivNycff5Y+ZhNeEzdizuffpgvJSCOiIcVUgIpcnJZL4yD/3hw5hSc1D4emHOOA80x5iRQV7iKXzat0MdGvpnN99l0PqzkSSJs2fPEhcXh6KSd01Dyf74E66+9ZbV60YUCX1lbuOu8juzBTbPtv4/5DVoNdhh91cHU5i1LgGpgpJAFGDiLRH88/Y2eOtU1Jec9MvVJiTU+njzccLHfHj8Q8yyGR+ND7dH3M6Ow98w+LCFrudkLEqRtWOCyDZe472j7/FJwieMbT2WSe0n1WowSd77KyknjqNUqRlw3xiK//NfdMWleF/OYn+vDhQUFbLz4G5Gz5qDKFbTh5IEn94Bl3/DFNODX476YElNIbxjHMNXz0EwmcuMX3pCrmbyxbvzKQQyJ95Lj47dkEpKyD/xO/pvviu/pmUGLUmfYXcVtWRdw5yVTa63gYS4seUJxwWRQk0wAN55Z2mee5gw9zy00c1QdO9H3pdf4pd7Cr1bIG76LLSmAjRRrwNQlJvDnh1nOJHaBShFRkaoYNaSkCl0r+Dt1QBSClIcvOqg6jAuDeVG3Gd/BVxy3Xw0VdmaqlwuGp+mPFaaqmxNQS5frS8jo0ay9sxaViWuovvAhfiObkXuujPlRi1RwFJPj5+AFp70u781O1YlcfSoiTjf1vjmlhtfdCYL3YeMYP/G7/ll5cdEdemO2u3Gr4xuCn0GYLxcSPaXSViyS5131tMAeT1kFmfyZdKXALzR5w2C3YMJ8wxzmKNe+v0IlxMTUKhU9B43oc51Gy9eKk/IbUOSMF5KaVSDVmFOKYm7bd5ZLf8wRWZTGYtV0ZRlc9H4GAyGJuUZY6OpygVNV7b/RbncPFQU5ljQF5lw81Rf1ztQEARErRZJr7cvPjcbGzdXlKgSET1USEUmzHkGzG4yWnc3BKXzu0YqLcV81TmNiKpZM0SVClmWkUrMyHkGdGLVcpfsz6RkfyaCRoEmxgdta19ObdkBQFzfERguFGC+Ukz+povIRgnRQ4XffW3QtqreKCNqlAQ83IGri49hvqYne8VJAqd2RFBZZbgR71Clnx9uXbqgP3yYwu078Jv4QL3rsHtnRUUhqOqvu4aqZfP0CyA4qhVXzp/h/JGDTtHG/ixUISEO801tmzZEfLaKgvXrKfjFahC9+uYr5H7hhSEpCSSJ7BthZ2gALoPWTURVXleyLGO8eBH94cOUHDxE8f79mDMzyw8qW+Wni49H3bwRQppkJcM3U0CWoMskuOVxh90Z+Xpmrktw+l227KEeDGgT1ODTnv5tj/NGQSBbq+cfP463e2XdHnE7L/R6AcWPOxi32IzNquY9YCDLHlvApgub+PTkp5zJPcPKxJWsTlrNiJYjeLjDw0T7RDudwlBSws5VnwDQ855xhI8ZT+ntQzi1fTvtBg4k1GJi9Qv/5NLxo+xds5o+90+qWgBRtCb7XtqH7b+eJjs/BHcfX4ZP/ycKhRIUSmssXj/wa9GcIdP+wQ//fY3fE47Q9p5xNG8Xy39U25m4FoxqH/RugYT6RQHgM2U8+UH/R2biFa5cyCcrw4jRVHUzerXOI+7hcSh8pjq8xN1i25Px0stoDXl2Iyi+Puxb+wUHv1+LyQAgENGxFeuMB+mS7I2IgITMbx1zmRQWW7eOrAad0nniUTmMiwsXLly4cOHCRUOZ1H4Sa8+sZcflHVwuuExYjzBU0V4k/ZZAcIoG08VCspefJPCxzqiC6q7oadc7lIwzeST9lsmpHk/Q7ZfZaAz51p2yTIewKJKDQ8m7ksHeb75gwKRHbpCETQdZkinalUb+zxdBklH4aHDrHEjRr6lWA6QAvqNb/WHeWUt/X4pRMtItuBsjokY4KcJkSeLXL1YAEDdkBF4Bdf/NYykqdN4oiqgj6ubhVVcObbyIZJFp3saX5q3//FXBLly4cOHCxR+Fxl1FUa4Bi0nCZLCg1l6fKlzQakGvRzSbAbCYzUgWC2IjLm5QeKo9w67VAAAgAElEQVSRik1gllAWgrmwBIW3BtFDZZ+HyJKEKTUVZAnRwwNVSChSqQlRq0ZQKjHnG6x1SDIKoEo1oQDaWH+MFwqQik2Unsym9GQ2twojKQnrj+6gJ9cOJtiLVwwxWKsMXmoCpnTg6uLfMaYUkv1lMv4PtLN7dN0IPAcORH/4MEXbt12fQat161pK1p/obj25cv4M5w4f+MsYtKpCEAQ8h46gcO9eAKTSHAyJqeUFbmA0gfrgMmjdJOR98015bEtBwGv4cGSLhZJDh7Bcu1bzwZLEhXH34j9pIj5jx6IMDGxQGwpTz5K7bDK+hlI8o3vDiAUOeZfy9SZmf3vCyZgFoKliJUFdObFjC8e3brJ+EYTyVYwKkf/b9n8Uaoz4aHx4vtfzDIschvnKFc6+9DIVXcSKtm+Hq9mMih7FyKiR7E7bzbITyzh05RDfn/ue7899z4AWA5jScQpdgspjgu775nOKc3PwCQmlx6gxgNWCLbVvjyokhECFgiF/f4Kf3vsv+7/9ipDoVtUngA5qx6mgBzhx8jwgM/yx/7O7mRbllpJ3VY9PkBsevlpa9Yinw223c2LHFjYuWoDHg4PZlXUW3aC78TMNQhREWnhZb9/vvk1DL6U5nEpUgGR2zosVPaIHSl/nH7E+Y8dibteW45s30XHwENJzr7Hrqb9TlJMNQKhbAQOCztPsHysQ03/hze2v4lEsUqAz07/9kOv2ovr50s+O7a8UxsWFCxcuXLhw4eJ6iPaJ5tZmt7InfQ+fJ33OzJ4zUXhrMAUr8RvQnpxPEzFdLuTaJwkEPt4ZpY+29kqx/ujrN74NV1MKyUkv5sy4BXRuLyPu3oTpp2+4MnMWfee9xPpPl3Lkp+/p0H/QXyIZ9F8VS6GRnDXJGM7kAeDWMQDfe2IQdSp0vYJJ2n+Ctr06oPb7Y1aXX8y/yHdnrRESnur6VJWrupP37SLr4nnUbjp63j2uznXLskzOsk+tX2y/ccoWljWmgiA/S0/SngzA6p3lwoULFy5c/C8higIanZLSYhOlRabrNmiJWi0WAIMBhUqFxWTCZDSgaUwvfBkqBTHCkm/AUmBEUIkIShGptBjZIiCoNCj8QjBfs4Y+lIoMQLnXmAQYJbDoVIg6VXnMwbIFQu49QpAlGVN6EaXJuWT+chI3gzs6pXNeMN9xretkzLKhCtIR8GB7sj5OoPRkNnnrz+Fzp7MzQWPhOWggV998k+IDB7EUFKDw8qrX8YbTVmeJhubPqono7r3Y+/XnXDp+FJPRgEr9xyzMagiWXGt0BMFNSciLs8h88UXHAjcgmkB9cRm0/gJotTX/YDZlZpLx4kvlhhxZpuDHH+37BZUKbedO6Lp3R90yioxZs6yGrwpIOTlkLXyXrEWL8Rw8GN/770fXq2edXW0Ttm5ky0eLkAlEIIDb+0yho1Jd1hyZjScymfPDSa4WOrvaKgSByKqSb9eB1MQTbPloEQC3jLmfToOG8XvSPnas/ABdnoUeCd4I93RkdvyL+Gv90R89StbCd53kr3izCYJA3xZ96duiL8ezjvPpiU/ZlrKNnak72Zm6k7jAOKZ0mEJ7KZwjG9cDMGjK4yjV5Q/tin3Wrs8AMs4mc3TjejYuWsDEN97GN9TZGy4nPY0te62Gp1sCUgi/sh6I59jWFPasPWt/WQWGe6DSKCnO74KoOEDBtasUv/c7493LwjwK4KkAURAwSjJ6CXxDdARHehHc0ovglt74NXfn6Psb2J/oZs+L1au9Ht82VXs8JWzfbM9RdvS3nfbtXoFB9B0+iDb7/w/BzRt0foxuNZrezXqz4uQKPjv1Gb9f/R2zZEYpNuxxkm/IZ03yGgBevfVVmnk0cwrj0hjUdp/drLjkuvloqrI1VblcND5Neaw0VdmailyT2k9iT/oevj3zLdPipqFT6NBqtYgaBQEPxZK19HfMWXqufXKCwMccY/3XhEqjYNijHfjq1QNcTS1lSyoIwm106KUkcP+XqN9dQnS/Hpw7eohty5Zy78tv3PCQbzdjn5WeziVnTTJSkQlBJeI9Kgr3HiH2a6Xw1qAId0fxB3lmASw6tgiLbKF/i/7EBcU57beYTez56jMAeowajc6rbjl6AQq3bkV/5AiCVkuLFcu5lJREdJ8+aBsjqkYFDm28iCTJhLX3o1lM5UxvN56bcSzWlaYsm4vGRRTFP7sJN4SmKhc0Xdn+V+XSeqgoLTZhKDEjSTLidXgJCWXPfqm0FJW3FxaTCbOhcQ1aslmqZoeMbLQgGy2AGtHd6hUuFTj7XwlqBWalSGGhEVEh4O6hss55p3ZCWSChDHCze7sLooC6hScWH9j46UcEKcPpGzLGqU5zTilK3/q9+zQtvfG7rw05q5Mo3peB0leL7tbQG/IOVUdGoo6OxnjuHEW/7sJ75Ih6HV9a5qGlbdPmutpRlWyBES3x9A+kMDuLlITfie7W87rOcSMx51gNWko/LR59+9jT3Ni5AdEE6ovLoPUno1AoiI2tOVxblbHVAe8xY/C55260HTsiair8sDMZy725RJHgF19EoXMj98uv0B89SuGmTRRu2oS6ZUt8778P77vvRuFd9Y8vWZa5fPI4m8uMSgAyAltWriCyZ38KFO689N0JtiVdBaBlgDuD2wWxbPdFLLKMQhB4fXQHQr3rH+M+LzOD7xe8jmQx07rXrfQYPY5lJz/lg/Mf4NFR4M7doYRf1THEMgzljzu58PlqDKdOVV1ZNTdbp8BOvH3b21zIv8CKkyv44dwPHMs6xpPbn+SegxF4SxDTM57Izl3tx1TVZ/0nPsLVC+dIS0rkh7deZ8Krb6Gq8AAzG41seOffmAwGQlq0wEvUsvVnBek7d1CY59i3WSlF9v+VumEYC9dgMZ4EdTgqVTsAfBTWl3WeRWb44x1p2dnZ6677jDuJTr5M9qnL+LcLq9KYZTGbOHfoAJs/eNdpX8+7xxE/ZjzKsxvhAOAfY/f4CnEPYUbXGfx04SfSi9PZfHEzw6OGO9VRF9Ykr6HEXEKMTwx3Rt95QxQ8dbnPbkZcct18NFXZmqpcLhqfpjxWmqpsTUmu3s16E+0dzbn8c6w7s44HYx8sl81dQcAjHchaUmbUWn6SwL91RNTULcqASqPAYimf08kynND1pW+Lw3D+DG2bh3JJrSb11AmSdv8/e+cdHkXV9uF7tm82ZVNIJSGUhITepCNVioAoTapSBFFU1FfsCoivHRFQXxURCyBSFAtdAtJ7CSUBAgkJ6b1vts33x5IlS9oGAkK+va/LS7Jz5sw8M7O7Z8/vPL9nF+E9et+OEIF7654Zc0swphZSdDaTokMW23S5rxMeY8OQ+2hs2t7puKIyo9gSZ3GJeLbtsxW2OR2xnZzUZJzctLQbPMzuvkWDgfQFnwLgMelxnFu3pnnr1rd+0jeQk1rE+YOW6/pvZGfdS89iTanLsTmoXQRBQK2+MzX/7iR1NS6ou7H9f45LrpQilUkwGc0U5ZSgdlUgld2cuFc6/yoaDMiu1Vky6vU31VdlCJWcm8xLjWg0YUzLAKQICjUIknLZXAASVwWFGcUAOLkpESQWQULmokBVr2Ix6dw/OzAa9Ej8FZZMrrL93kL9UqdW9TDllpC7MZbcTbEIcoHG3gGIBUZwq906lC59epN56RIFETtqJGiZ9Xr0sXHArVkOVjY+EASBxh06cnLrRi4fO3x3C1rXMrRk7krkvr74vTPPRmeobTeBm8EhaP3LmM1msrKy8PDwqHRFgSK4QYVqaL1nn6nwAdKOHImme3f0V+JRNAiytnEbNgxddDTZq1eT98ef6GNjSX3/AxK+/gFp5954D+pFvX7dMZaUEH/2FLEnjhF78ih56WnljiGazazcfpzF58wU6U3IpQJP9WzM072boJJLmdS1AadjU2nZ0IcAd025/aujpKiQ3z56B11+Hj6NQmg8figTNk8kNe4cTbNFGjXvTru+zTn59zYivlnC/VHxqIwmBKUS16FDkHt7k/HV13a/2Rq6NWRu17nMbDOTFVErOLT9d9wywCA1s9RrJzln6zMydCQauabCeyaVyRjy/KuseHUWGQlX2Pr1YgY/Nxu9zkRqbC57Vn1D+pVYBIkT2fkPslvibDlwcQXfOkCHB4PxD9Wy9koUURFFhMepkYq7QQwCQYNWahF9cswioUHl04BLcW9qK2SZjEZSL18k4exp4s9GknQ+qtIClsGt2lqy0jJjLC94NrHZrpKpGBc2js9Pfs7ys8sZ1HBQjcUonVHHiijLqtapLafettXK9rzP7kUccd171NXY6mpcDmqfuvys1NXY6lJcgiAwodkE5h2Yx6qoVYxtOpa8nDxrbDKtCq+pLUn/6hSGhHwyV5zD6/HmlU4qlCUnrbjcZIIogualuehfmYK4Zx8thvTnZMIl/lnxHY3ad0TpVPMxsj3cK/es8EgK2b9etLlumi5+aB9shCAvf97J+cmcSTxDi4AW+Ln43fbzW3JiCQCDGg6iqUf5lboGnY6D638GLE4SCpX9kzzZa9eij4tD6uGB5xNP3JZ7VpCtY/fP5xHNIg1aeuLb0P7ssdriXnkWb4a6HJuD2kUURYxGIzKZ7LZn595J6mpcUHdj+/8clyAIyBTXBK18PUX5elw8Vaid7bfPs/YlkyHI5YgGA9Jr/n2GSubVbhZBJkHqrrJavwFI3VUISinG1ETMRfkISiUKf28wgyGlsFwfJToTZpOIRCpBrZFTUs05iqLIqe2bAQh7oBfu2pDr47RaqF/q3D0AU04JBfuSyPn98rVAr9se1hbOffqQufRbCnbvQdTrERT23WP9pUtgMiFxdUXm43PTx69qfNC4nUXQunT8MP3MZoS7dPxgyrY8K9Jr2XjakSNRd+1K5pmzeLZojtLf/988PcAhaP3riKLIlStXcK+grlEpN6OGyn19K9yuCgvDb+5cvF+aTd5ff3Jpy2l8fPojCBJK/jaz+ec3uFB8BlMZ8UyCGTMC141WLVlaS45mUyRzpkMDd94f3pIQn+vCiq+rihQxG1/XBjW8ImA2mfjrsw/JSkxA4+5B/uBgxm+bSI8TeuZsNiMRAXZjZjduIQHkOqk4ExLIoMEjcR85AqnWYqWhHT26nKhXHfWc6jGj6RMo/ncYHfnENDNyhVQ+OfoJX0d+zZimYxgTOoaEKwnl7plG607vyS+wcdE8zu/fTcplFSX6FphKzmMo3AdYMq4Uajd8glT4pq3EjVgicp9HLHNtBQk07+HP6eITLE/5CkkYtNN3oDgpnXrB+8jPe8AqaNXv6o9zFem+ZpOJtNhLxJ+NJOHcaRKjz2HQFdu0Ubm4osvPs3lNkEjQ+l77gMq8ZPn/DYIWwJiwMSw7s4zorGgOJB2ga0BXu65zKRtiNpClyyLAOYCBwQNrtG9NsOd9di/iiOveo67GVlfjclD71OVnpa7GVtfiGtJoCIuPLyapMImI+AjqZdeziU3u7YTX5BakL42k5GIOWWvO4zEmrNoC1lpvtU2p11LUoY3wfHc+SbNfxmfjNty6tyc3J5v9a1bSe9L02xHiPXHPjLkl5cQsBHDpFVihmPXrxV+Zt38eZsxIkDCn6xyGhwy/bed3PPU4exL3IBWkPNPmmYrbbP6Dwpxs3Hx8adV3gN19mwoKyfjc4n7hNfNppM7OmEymWr1n5/YlsXNF9HVL80DnWum3ptwLz+LNUpdjc1D76PV6ZLK6N/1WV+OCuhvb/9e4TEYzJUVGm9fyM3UoVLKbytSSqFSYDAYk1+ZOTXo9omhGEGpPoJBq5AhKCbpCHSqNColMijEzE1N+PggCisBAiyAioZz4JdEqKbwmSmi0imrHsQAJZ0+TnZyIXKUmvHsvFGonlKHuGDOKbewJbxZBEHDuHkDBvqTrL4qQ/etFlKHut9x/KerWrZF6eWHKyKDw8BGcu3eza7+SUrvB0NBbEnyrGh/Ub94KuUpNYXYWqZdj8G1y85lgt5OyloOlyHx8SE5OxucWxL7a5O6UAh2UQztyJE0idhD0ww80idiBduTIKtsXZOu4ej6bgjIfaGWROmuQdO6Jj88A6weuIEhoUW8ACkGD2mAixM2dId5xPNP0AO3C1ddELQvFEgUyjQv/faQFa57sYiNm3Sq7fvqWuFPHkcrlHOxcxLKopfQ4XsKMTaVilgUJ0NHNB6lUSppCSnLjQKuYBRZRT9OpY43TIPet/hFdfj6e9YNYMnsD87rOI9g1mHx9PktPL2XQb4P4PvF7YrPiSIrJ4fjWK2z6XyTLX97L39/nIFXeD0BuynYMRccwFG0DoGG7gYybN4onFt7PsP90otOoNoSpd9PLY1mpkx+CBHqND8OgLuaNvW8AMCJsFKNfnItULic97gz39S9Eq7Dcs0b9bG0URbOZ1NhLHP3rN377cB5fTB3LyjdeZM+q74k7eQyDrhiVswshHbvSZ/KTPP7JFzy9dCX9n3zOujJAkEh4YNozuHh6WTotFbQ8GpW7Vm5KN0aEWHx1vzv7XY2us9Fs5Puz3wPwWLPHbroGlwMHDhw4cODAgb2oZCpGNR0FWMYuUQVRpBam2rRRBLrgOaEZSAWKIzPIWnsBXUw2xtzKV7Y6u6voNSGMG+cxdq04j6rfIDymTkEqQtOzlsz3E1v+Ii3ucu0Gdw9hTC8qb48jgjGjuFzblMIU5u6fixnLpJEZM/MOzCOlMOW2nJsoiiw6vgiAR0IeIci1vG15cX4eh39fB0C30ROQyuyrtwaQuexbTFlZKBo0wH306No56TIUZOvYVUbMAji25UqlvwsdOHDg4E6ydu1awsLCUKlUtGzZkk2bNlXZftKkSQiCUO6/spZeu3fvZujQofj7+yMIAhs2bKiyzxkzZiAIAp999pn1tbi4OKZOnUrDhg1xcnKiZcuWzJkzB/0NVnJbt26lc+fOuLi4UK9ePUaMGEFcXJxNm5KSEt544w0aNGiAUqkkODiY776r2XxJr169rLGqVCpCQ0N5//33ESsoR3I7KCkpoU2bNgiCwMmTJytsExMTg4uLC1qtbX1Gg8HAO++8Q+PGjVGpVLRu3ZotW7bYtLHnns2dO5ewsDA0Gg3u7u7069ePQ4cO1SiOXbt2IQgCXvU80elsvwdPnDqGTC69KfGitI6WoNcjSCSWLDF9+TpWAFlZWYwfPx5XV1e0Wi1Tp06loKCgwral6HQ6Zs6cST0fb7wDfBj16GiSr1zBkHLNntnHB0mZMidSjRy5rwaZlxq5r4YSk4hoFpHKJKjsrAl7arvlvdish0XMApC5KVE11taa2FQqlNggQsnlnFrpHyxzmi69ewFQELHD7v1K62fdit1gdcjkchpeK2lz6VjNnuU7Sak4Kq1hvbQ7iWMG+R6isqyrGzm3L4ldK6IRRUvJo14TwmjWrXw6YG5MMpIbPrglgoS2Rhfczp1EIA4zcDUgkJV+LTjqH4KrKZcH0iNwMut4r1khgzvVPAPrRgwpKejjrqAIbsC508c5sflPALLViQxaXcCLCSJyU8X7Nn52FiWpCexeuZxdP3xLg5ZtcPXyvulzSYm5wKm/LV+0fac+hVrpxPCQ4Tzc5GG2nd3JpgMR6JIkuOc3ZNPmS0jFKzb7S2QCAeE9KcjIIzP+GCbdP9ZtTdo3wat+GeGv3SQ4+TPNrm6kfntv8pr8B9eGbrgEuTBr5yzSi9Np6NaQ2ffNRi1T02PsJHb9uJTLG3fh7/UIqCRIXOWkx8eRcDaShLORXD13Bl2h7Rej0klD/WYtCGzWisDmLakXFFwurbVln/4EtmjN0X176NCtB1rvMop7JZaDpTzW7DF+jv6ZQ8mHOJt5luae9nnJb43bSmJBIu5Kdx4JecSufRw4cODAgQMHDm6VMU3H8O3pb4nKiiIqK4qP4z4ul/GjCnXHY3RTsn6OpvhEGsUn0qq1RWnWzZ+gZh7kphUjVUjY8tVpspIK2fL1aQbPep6S8xdg7178vd1JUsK2r5fQY/wkPPwCri8k+n+CIbGCiZxKajPsTNiJeIP6ZRbNLI1cyuudXkcqqd3aC3sT93I87ThKqZIZrWZU2Obw7+vQFxdRr0FDwrreb3ffhtQ0spZ/D0C9/7yIILdfCLOXnLTicpmCohly04qrdHZw4MDBnaEgW0dOWjFab/X/u/fk/v37GTt2LO+//z5Dhgxh1apVPPzwwxw/fpwWLVpUuM+iRYv44IMPrH8bjUZat27NqFGjrK8VFhbSunVrpkyZwvDhVWfv/vbbbxw8eBD/GyyzoqOjMZvNfP311zRu3Jhjx47x7LPPUlRUxCeffAJAbGwsw4YN48UXX2TlypXk5ubywgsvMHz4cI4fP27ta/To0aSmprJs2TKaNGlCcnIy5rIlROxk2rRpvPPOO5SUlBAREcH06dPRarU89dRTNe6rprz88sv4+/tz6tSpCrcbDAbGjh1Ljx492L9/v822N998kxUrVrB06VLCwsLYunUrjzzyCPv376dt27aAffcsNDSUzz//nEaNGlFcXMzChQvp378/MTEx1KtXvo58Vbi4uLBp618MH3Y9OWDVLz8RFBREfHx8jfoCrGKSqNMhVynR64ox6kuQK8sLP+PHjyc5OZnt27djMBiYPHky06dPZ9WqVZX2/8ILL7Bx40bWrFmDUqlk9uzZDB8+nIgffkDi7IzU07PcPoJMgiCTYDaZKcqzCLEaN6Vdgl1hTjYxRw4A0KrfILuuwc0g81KXr80FZK+/iDnfgHO3AATprdthOvfpQ87adeRH7MTnrbfsugYl52+/oAXQqH1HLhzax6Vjh+n26MTbeqybpWwNrbsVh6B1F+Dq6mpXO2NuSaWpniVFBpIu5nD5VDrR+6+vVhRF2LUymqBmHuUGS2pPV3Rigc0b2yyaCX/vLWSrniBn93nyE1XoEg38J/EXchQatjboRLR3OO0KTnBp++8YHh6KXFnxIMyeuHLWrbNaKWa4OHGkkcUPPzQ5kyan8q3tZP7+GJOSbHeWSFA0CKL9fe25eHg/yRfPs+3rJYx4/Z0ar7AoyNaRlVLIzu8+B1EkvHtvlJoGRO68SsrlXFIu5ZKfJdCUvjb7FcpzSXWJQxlgoneHzvRu2wWZQkpWkh/LX3jSpu3fy76kYdsO1ycsJBIY+hmFX7xDXswjEBNHngAnuuWyM3MnMomMD3t8iFpm+WHfbtBQMiIu0EzWCQCx2MSfM98hJvuYzXEUajUBYc0JbN6KoOatqBfcEIkdP/RdPL1o0KK17YRKcQ4UZVj+7dm4wv38nP0Y1HAQf13+i+VnlvNJz0+qPZYoiiw7swyA8eHjrTHeTux9n91rOOK696irsdXVuBzUPnX5WamrsdW1uEyiCbN4fWLJjJk5++cQnxdP/+D+hHmEIREkKIJviLvUFiVEi0xb8fjX2V1lHXMPntmaXxcc52p0Nrt/ieH+Tz4m7tFHaXopgeRmwaRevsi6+W8gCAIPTH+Wln3611qMd/M90ycVkLv9hsmjSmoz7IzfyYIjCyrsZ82FNURnRTOv6zyauFe88KqmmEUzi08sBmBs2Fh8NOVtVfIy0jmxxbIAr8fYx2tU/yB9yWJEnQ5127a4PPCAzbbaumfOFUw+CBJw87794+2KuJufxVulLsfmoHosGRnVixSiKGI2gqHExPmDKez55YJ18XGPR0MJ61KzmoAyhcTu+Y5evXpZhaKffvoJuVzOU089xTvvXJ8zyc7OZtasWfz555+UlJTQs2dPFi9eTEhICABXrlzhmWeeYe/evej1eoKDg/n4448ZNGgQUmnNFhQsWrSIgQMHMnv2bADmz5/P9u3b+fzzz/nqq68q3MfNzQ03t+s1ADds2EB2djaTJ0+2vjZo0CAGDap+Ej4xMZFnn32WrVu3MnjwYJttAwcOZOBASxkEURQJCAggLi6Or776yipoHTt2DJPJxLvvvmutjfPSSy8xbNgwDAYDcrmcLVu28M8//3D58mU8PDwACA4OtvMK2eLk5ITvtUXtkydP5vPPP2f79u02gtaZM2eYPXs2e/bsQaPR0L9/fxYuXIiXV8ULZey5Z5s3b2bbtm2sX7+ezZs3V9jmzTffJCwsjL59+5YTtH766SfeeOMNHnzwQQCeeuop/v77bxYsWMCKFZYa6vbcs3Hjxtn8/emnn7Js2TIiIyPp29d2bq66uB5//HHWblhpFbSKdcVs+OtXZs16jvnz51vbZWZm8swzz7B7926ys7Np3Lgxr7/+OmPHjrXprzRDy1xSgszVBb2umJKiQhRqtU3WdlRUFFu2bOHIkSN06NABgCVLlvDggw/yySeflBNWAXJzc1m2bBmrVq2iT58+lJSU8PWHH9K6Z08OnznD/SNGVPkZUJRvsGRnySUoNfZN+5+O2IbZZMIvNAzv4PLuTLWFzE2J+3Db2lwyLzXG9GJyN8VSFJmO+/AQFP63ZpWs6dIFQa3GmJKC7tw51M2rX3hfajmobHrrglZV44OGbTsgCBLSr8SSl56Ga72bT8q4HZiLDIg6S1bJjRlad9O4xyFo/ctIpVLrQKEqbIomC+A6tDE5WiWJ57O5Gp1Nenx+uZV4pVS2Ii/71BWcBAWiKCIIAqIoUtzMSNClr8B8EHVPFR/onsPtTBwDrxzCS5fHoxcjMMYI/N2sEYb8HE5s/pOOD48qd0x74iqJTyD5rbdBFClQyjke5I0I+Gfl0yAjh6LWTQgeOALnnj1RNAwmd/36SuuIDXz6BX56+TmuRJ7g9I6ttOpnfz2m0ow2g+4UxqLLCBIlV6LDiD171KadIIBnfWcC6jvj46lCF1jIqtzt7IjbjEk08Wf0D4SnhTO5xWTCCsqv3BXNZnKSEnFSuGIqMGAu0GNI05Krn4m1PpkIjfa6skD1EgEaf9x/LCLZcARRb8KsM9JM1sn6xSUIAm3d+pBSHItnaAOrgOXTqAmSGg4soZJ7lnXNbtDZB5SV20pOaj6Jvy7/xfDnOZAAACAASURBVPYr20nISyDQNbDKY+1J3MPF7Is4yZwYEzamxudaU+x9n91rOOK696irsdXVuBzUPnX5WamrsdXFuOLzKl6Ju+zMMpadWYa70p3Ofp3pz/2E4WbbSIT0ZWdw6x+MurlnlTUJ6gW5MGBqczb9L5KofclovZ1o/sUXRI0bZ7EMujamE0WR7Us/J7h1u1rJ1Lqb75lZZyRzZRQYzaiauqN9uAnGLF2FC/bWnF/Dfw/9F7Nopom2CZdzL2MWzUgECUMaDiEiIYLIjEhG/TWKJ1s9ydQWU5FLby3jaVvcNqKzotHINUxtMbXCNgfW/YzJYKB+eAuC27S3u2/dhQvk/vobAN6zZ9tMRtXmPbt4xNZCs9TS/N/IBLmbn8VbpS7H5sA+jHoz38z6p/qGlSCKsHv1BXavvlCj/aYv6olcaf/v/R9++IGpU6dy+PBhjh49yvTp0wkKCmLatGmAxdLv4sWL/PHHH7i6uvLKK6/w4IMPcu7cOeRyOTNnzkSv17N79240Gg3nzp3D2dnZaoXn7Fz1xPOECROsYtWBAwd48cUXbbYPGDCgWovAsixbtox+/frRoEHN3ILMZjMTJ05k9uzZNnaFFVEaW15enlWUAmjfvj0SiYTly5czadIkCgoK+Omnn+jXrx/yaxm3f/zxBx06dOCjjz7ip59+QqPR8NBDDzF//nzU6ptbWCCKInv37iU6OtrmcycnJ4c+ffrwxBNPsHDhQoqLi3nllVcYPXo0ERERALz33nu89957VfZ/7tw5goIs9rqpqalMmzaNDRs24OTkVGH7iIgI1q5dy8mTJ/n111/LbS8pKUGlumFBvVrN3r17axR3WfR6Pd988w1ubm60bt3aZlvp/aqKiRMn8vHHH1NoyqKeuy/rfvuFwPpB1oyxUnQ6He3bt+eVV17B1dWVjRs3MnHiRBo3bkzHjh2BMte0NOtOEGxLggqC9ZoeOHAArVZrFbMA+vXrh0Qi4dChQzzySHm3omPHjmEwGOjXrx+CICA3GAnx8CDQz4+jsbH0rCK722wyU1zD7Cyz2UTkDotTVevbmJ1ViuY+X5vaXFJXBUVHU8nZGIvhagFpn5/EpWd9XPsEVVhX1R4kKhXO3buRv/1vCnZEVCtoGbOzMaalAaAMuTVBq7rxgZOrG/5Nw0mMPsulY4doO3DoLR2vtjFeq70mcZYjUVz/rrnbxj0OQetfxmw2k5KSgq+vr3WFx42UXMkje/3F6y+IkPN7DNvzjOjKfGpqfZzwDnblwuEUm/TNylbkmc4XAgpyfLLR5noglAgEqPPhwOcAPFs8nU3mpjTo3hbnqdM4u34Tgy7vp136BVokpREZ5M3Bld9T/2oK3o+OQVYm5beyuESzmaIjR8n7609yN24CUUQvlXC0oS9GmRRtoY6Sls74rPwBH+9gm/PVjhyJpnt39FfiUTQIsrFf9PCvT/exj7Hrx2/Z9dMyGrRqi5t31YXq9MVGzu1PYt/aGMzGNIxFuwGQKrtiNqlROsnwaeiGX2NXfBq54RPsiuF0hlVYVAvw5vBZPDPsGdafWMP+mN2o4wW2Xf6VS6b6tPbog1rqhFKqQSXVoJI6IazMI5kbfVKFG/4SaKZrBDowUmS7rQKLyIETnqXBA/dVGas9VHjPSutnVWI3WEpTj6Z0D+jO3sS9/HDuB97s/GaV7ZedtmRnjQodhZvSrcq2tYE977N7EUdc9x51Nba6GpeD2qcuPyt1Nba6GFeQaxASQWKTpSUg0Mm3E5EZkWSXZLM5bjNHDAf4gXeRlCk7LCJiSi8ma2UUMk8Vzj3qo2nvjSCveHIxuJUX3UeHsOeXixz47RIuTzRH/exM+GutTTvRbCYnJalWBK279Z6Jokj22guYMnVItUrcRzdFqpEju0FoMYtmFh9fbM3mHx4ynDc7v0lGYQYnr5ykTYM2+Ln4kVKYwrsH3+Wfq//wxckv2H5lO+90fYfmXvbZX9+IwWzg85OW30GPN38crUpbrk38mUjO7NwOQI9xj9fIFSJtwQIwm3Hp3x+ndrYTaLV1z3LTizm2xWKJfv/YUDx8Nbj9i7Zmd+uzWBvU5dgc1C0CAwNZuHAhgiDQtGlTTp8+zcKFC5k2bZpVyNq3bx9du3YFYOXKlQQGBrJhwwZGjRpFfHw8I0aMoGXLlgA0amTJ3hBFEYPBwIkTJ6r8LCy7oj8lJQUfH9t5Gh8fH1JS7KuJmJSUxObNm6u0aquMDz/8EJlMxnPPPVdtW1EUiYqKYsmSJdbsLICGDRuybds2Ro8ezZNPPonJZKJLly42dcAuX77M3r17UalU/Pbbb2RkZPD000+TmZnJ8uXLa3TOX375Jd9++y16vR6DwYBKpbI5/88//5y2bdvaCFbfffcdgYGBXLhwgdDQUGbMmMHoa/UaS++ZXC63uWelWUKiKDJp0iRmzJhBhw4dytUGA0sG06RJk1ixYkWl2RoDBgzg008/5f7776dx48bs2LGDX3/9FZOpkloiVfDXX38xZswYioqK8PPzY/v27eWyzyqLqyze3t4MGjSIn1b8yFtvvsXPa1cwdtQEDCW25xQQEMBLL71k/bs0o2/NmjVWQav0muqvXMGo11OouEFgEsDH2zI/mpKSgre3bQaOTCbDw8Oj0uc+JSUFhUKBVqvFVFyMPsGyEMvHx4e0nKprTRXl6RFFEZlcitLJvin/2BPHyM9IR+XsQmiX7nbtc6tIXORkFWbi6+KKIAho7vNF1dSDnD9iKD6TSf7OBIrPZOA+PASph6pSt7KqcO7Tl/ztf5MfEUG9556tsm3JBcucuzwgAKmz5pZis2d80LhDJxKjz3L2nx00ua/LXWU9brLaDd4wPr/Lxj0OQetfxpijI+PUVbxUWhQeltUPpnw9xRezyY3MwBCXi0xX/kNfIgh4aRU4h3lQv6k7AU3drT9UAkK17CxTCLjnuKbls7POx+MiumMWzQSO6IgsSSTn90vknzChUUhZZBrGZrEzT3RvyH/6N0WtkJLcswlxGU/gUpRBi02/c/lgBAUKGUfW/kzoV9/g0q8f7mPG4NSpI/rkZFJ3RODRtw9Kf39KoqLI/fMv8jZtwph6fdWgCTjRwJcipQKV3kC7+FSaL92GwrvitPuq6oi1HTSUi4f3kxh9jm1fL2LkG++WswAx6k1cOZPJxSOpxJ3JxGQwY9SdxFgcUaaVlD6PhRPW2de66lY0mCm+kFVOWCz9ezgdGE4HbKhEpxERMasFBGcZMqEEU5oEoYyoZcaMrLMO99AOCAopgkKCRCElPzWTwlWxCGWqjZtFM9qQ+hUfqIaIokhycrLtANNaP6tiu8GyTGkxhb2Je9kQs4GnWj+Fp7q8py/AybSTHE87jkwiY2KzO+MXW2FsdQBHXPcedTW2uhqXg9qnLj8rdTW2uhiXr8aXOV3mMO/APGvGz5wulhpaBpOByIxI9ift5++4v1lUuIrnksciRYoJE996/8a44EdxPS1gzNSRsyGGvO1XcO7ih6aLP6LRXO5Hd6vegeSmFxMZcZUd30fRf2oPhL/W2pYPEAS0vuVtZ26Gu/WeFexLovhsJkgFPMeHI62gSLnBZOCt/W+x8fJGAJ5u8zQzWs1AEAS8nbzxLvHG28kyMeSr8WVJnyVsjt3MB4c/4EL2BcZtGsfjzR9nRMgIUgtTCXINwldTfQ1igD9i/uBK3hU8VB481uyxcttPR2xj29eLrX9nXk3APzTcrr4LDx6k8J/dIJPh/eIL5bbX1j3bu/YiJoOZ+mHutLg/4KYK3dcmd+uzWBvU5dgc2IdMIWH6op7VthNFkaKiIsx6KavnHbJx1hEEGDu3M85a+ydpZYqaTSR27tzZ5rOgS5cuLFiwAJPJRFRUFDKZjE6dOlm3e3p60rRpU6KiogB47rnneOqpp9i2bRv9+vVjxIgRtGrVCrDUUWrSpMkd+6z54Ycf0Gq1PPzwwzXa79ixYyxatIjjx4/bda6JiYkMHTqUkSNHWjPZwCI0TJs2jccff5yxY8eSn5/P22+/zciRI9m+fTuCIGA2mxEEgZUrV1qtEj/99FNGjhzJl19+WaMsrfHjx/PGG2+QnZ3NnDlz6Nq1q1V4BDh16hQ7d+6sMEvu0qVLhIaG4uHhYc0yK30WnZycKrwOS5YsIT8/n9dee63Sc5o2bRrjxo3j/vsrrx+5aNEipk2bRlhYGIIg0LhxYyZPnsx3331nd+yl9O7dm5MnT5KRkcHSpUsZPXo0hw4dKicSlQpaVTFlyhRmzZrFhAkTOHr8MEu/+IGjJw7atDGZTLz33nusWbOGxMRE9Ho9JSUlNtlqpddUr1ZTkptLobL8cYXKLLRqgDErC0PZ0ivVPLuGEhNF+deys7QKu9+XkX9bbCWb9+yLXHFnaiZV9B0qdVXgOaEZxWcyyP49BmN6MelfR17fqZpatjfi3KsnSCSUREejv5qIon5ApW2v2w02vbmAymDP+MBkMACQejmGpTMn17r1+K1QWj9LeoOF9d027nEIWv8ipTaCHiKk/XMMIcAZQ04JskKDtY0MMIsiAjdk5wgw+JUOFfr3N+vmj29jN9b89wgmgxm3CoorJ209jRuu5MoykWu1XEw8TWNyMIneHDBOYaPHYNaNbEP7Bu7Wffzc1Pi5qQFPaPkyPffcx8bPFxDn60FwRi75W7aQv2ULUi8vTJmZqESR2PffR+rpiSkjw9qPxNUVenXme/9LKE/l4VKkRmoy0yEulYZvz0HhVzMPaWu/EikDnnqeH2c/S/yZSA5tWIt/aDiu3r7kpku5eCSVSyfS0BdlIxqTMJuSQEzEpM+w6cdYvAOtahhFJ9PQJ+SjT8jHkFwIpiq+kCQg0SiQOsvBWUq07iLHCyMpFAvQmwpJUeeS4pRDjiyfXGkBZuH6iuD+ki48lzLOOlGyxHcVLzXohrqZrSDk4ash/dRF1Gdl1lXFxc2NBAXf3PWyi9IMLY/qBa0OPh1o4dmCM5ln+Dn6Z55p+0yF7UpX2z7U+KEK6xI4cODAgQMHDhzcboaHDKezT2ciTkTQp20f/F0tYpJcKqe9T3va+7RnVOgoBqwbwHHNOfz09UhWpJMhzyE8vBNjBj9K4dEUCvYkYsopIe/vePJ2JlwfL97wo7vbyBDyMnTERWawc2Ui3cbNYN+qr6yillQms9gQ1lFKruSRuykWAO3gRigCy1tZ5+vzeWHnCxxKOYRUkDKnyxweCSlvxVMWQRB4sNGDdPbvzAeHPmBz3GaWn1nO8jOWVfBlxcoqz89Uwv9O/Q+AJ1o+gUZuuzo3PzODbd8ssXnNXptI0Wwm7aOPAXB/9FEUN1lLpTpiIzOIi8xAIhW4f0zovy5mOXBQ1xEEwS7rP1EUkZukOLk70WtCGLtWRiOar9uBuvtUbOt2t/DEE08wYMAANm7cyLZt23j//fdZsGABzzxj+b3v4lJ5aQKwtRz09fUlNdXWFjU1NdVaJ6oqRFHku+++Y+LEiSgUihrFsGfPHtLS0qy2emARLv7zn//w2Wef2WQiJSUl0adPHzp16sQ333xj088XX3yBm5sbH330kfW1FStWEBgYyKFDh+jcuTN+fn4EBATY1P0KDw9HFEWuXr1aI8suNzc3mjSxuOWsWbOGJk2a0LlzZ/r16wdAQUEBQ4cO5cMPPyy3r9+1ebWaWA5GRERw4MABlErbiewOHTowfvx4fvjhByIiIvjjjz+smWuiKGI2m5HJZHzzzTdMmTKFevXqsWHDBnQ6HZmZmfj7+/Pqq69as/tqgkajoUmTJtbYQ0JCWLZsWZWiW2UMGjSI6dOnM3XqVIYMGYKHuwdGg20dvI8//phFixbx2Wef0bJlSzQaDc8//zx6vd7axuaams2IFXzfnjkdScNGjfH19SXtmpVdKUajkaysrEqfe19fX/R6PenR0WjLZMGlpqTgU8YZqyzFBXryM3XWv81VzV+WIS89jcsnLOVWWt0Bu0F7ULfwQtlYS/aGGIpPpV/fUFrLNtTdrkwtmbs7Tu3aUXT0KAUREXg8VvmCequgFXr7LfXyMzPYv2aF9e/ath6/VYxZ1zK0PP6d7H57cQha/xLG3BKy1l+0MZsTEwuQYXmYc02QLYDg54xrSy98EdFHxFuzrrSPNKm0GDVYxI/wLn6c2Z3Imd1J1A+77vtrNpuRXQUkkOAtY8z7m1inmIOr7D5yjVNwVzzMH890Rq2s+vFo2q0nh//6jfS4y2Q+OZnwrAJyN/xuI14hipa/FQpc+vTB+cGB/OoVxxdnv6HJJSUdiyzn9cCIsYT2fqDS7Ct7cff1p8e4Sez8/mv2/fKT9XWJPAQQMRuTQSy02UchUeOp9MND6X/t/36Y1lwl+4a+BbUMsdh4w4vg/Vxb5D4amxoKYqEPz62bjxlbK5ue9XtSaCwkoziDjOIM8vX5bHM/wHHnKJuJkkd37cS3YR/Q2taiavpYX3Ljksm7lIxbY7/bK2ZBmQyt6gttC4LA5BaT+c8//+Hn6J+Z0mIKTnLbwXlMdgy7EnYhIDCp+aTbcMIOHDhw4MCBAwf24aPxIdw5vNIFNr4aX+Z0tWRyZcivW7y8f/h9UopSmNVlFs6d/Sk+nU7ezniMqcXXdy790R2iRaZVIZEIPDClGRs+PUF6fD4xx72YMH8xl195nkhjEflOsOWLBYx6671yDgP3OqZCA1mrosAsom7lhabL9fFrSmEK8XnxqGVq5hyYY62x+mmvT+kW0M3uY3ioPPio50d09uvMnANzrK+bRTNz9s8hqziL/sH9CXQJrFDoWR29mtSiVHw1voxuOrrc9qtRZ7ixYLG9NpF5GzehO3cOiUaD18yn7Y6pJhj1Jvb8YpmMadMvEHffW7PLceDAwe2hWTd/gpp5kJtWfMfsQA8dsi15cPDgQUJCQpBKpYSHh2M0Gjl06JA18yczM5Pz58/TrFkz6z6BgYHMmDGDGTNm8Nprr7F06VKroFUTy8EuXbqwY8cOnn/+eetr27dvp0uXLtXG8c8//xATE8PUqRXXN6yKiRMnWkWgUgYMGMDEiROZPHmy9bXExER69+5N+/bt+eqrr8rZahUVFZV7TXqtfrn5Wj2lbt26sXbtWgoKCqyZUxcuXEAikVC//s276zg7OzNr1ixeeukl6zVv164d69evJzg4GJms4vm7Gy0Hi4uLUavVFVoOLl68mHfffdf6elJSEgMGDOCXX36xZvEdOHDAxjrw999/58MPP2T//v0EBNhmwKhUKgICAjAYDKxfv956HreC2WympKTkpvaVyWQ89thjfPTRR2zevBmlU/nMqn379jFs2DAmTJhgPd6FCxds3g+l19RUVITh6lUMCjm6MtfT2cOTwCBLjbcuXbqQk5PDsWPHaN/eUnczIiICs9lskxlZlrYtWiCXy9l16BAPP/AAABdiY0lITqZTu/K1O01Gs42YBZCfpUOhliGVVT2mjNyxBUSRoBat8fCvPIPpTiNRy9B09LUVtABEyNt2Be2QRkjU1Usazn37UnT0KPnVCFq6C+cBUIXeWv0se8hOTiq3iE00mzm9cxtdRoz91xckma7V0JL+S3bV9uIQtP4l8mNzqegRTXSSo2zvQ0BLL5rVd0ZSRiQxtPIidckJMIrIPKtPU25+vz9ndicSezKdwtwSNNcU7OT9Z9BIXDGaDbyaaGSh8gvCJQmkoSefx3EpliJGZ0Fr7yr7FyQSuo+ZyG8fzOP04f10XLwU5169uTpjRrm29RcvJr1NIDP3vUXk6UgC0lTcF20Rs3pOmELzoVWvmrQHURTJSCggO90yKaGWuuAidyffkE2xwWINKEGKhzqQBn4t8HFpgJPBBWlxBR/wMgFFgAuKQBcUgc4oAl2RuispOppqraFVuvJW4Vc+vbvsBMiNVjZlic+LZ+hvQ8mQ51gnSiQiBBZkwupxMGUrKGxFIbdgP9xug5AlCAKenp7XPzxF0e4aWqX0DepLkEsQ8fnx/HrxVyY0m2CzfflZy2rZfg360dCtYa2de3WUi62O4Ijr3qOuxlZX43JQ+9TlZ6WuxlZX4wL7YhseMpyu/l1JyE8gQBPA2otr+fb0tyw/s5wL2Rf4sMeHuLXxRuIsJ+PbM7Y7i5D2v1O49grEqZ03CpWMwU+3Yt2HR8lJLWLfnzkM/OwLFOPHsFupIOHcGY5v/pP2g4fd9rjuFKJZJGt1NKZcPbJ6atxHhFjP69eLv1rHyqV4qb34su+XhHuWt/KzJ676LhVPFi46sYhFJxbhq/Glk28nOvl1oqNvR3w0PlzOuWzNznqq9VMopbarfk1GA0f+XF/+fCSSam0izSUlpC9cCIDntGnIPDwqbHer9+zY1ivkZ+pwdlfSflDwTfVxO7ibnsXapi7H5qD2KSs2OLur7mhdu/j4eF588UWefPJJjh8/zpIlS1iwYAEAISEhDBs2jGnTpvH111/j4uLCq6++SkBAAMOGWb6Lnn/+eQYNGkRoaCjZ2dns3LmT8PBwa1w1sRycNWsWPXv2ZMGCBQwePJjVq1dz9OhRm0yo1157jcTERH788UebfZctW0anTp1o0aJFuX4LCgqIiYmx/h0bG8vJkyfx8PAgKCgIT09PPD1tHXDkcjm+vr40vWYxlpiYSK9evWjQoAEff/wx2dnZFBYWIgiCNZNm8ODBLFy4kHfeecdqOfj666/ToEED2ra11EYcN24c8+fPZ/LkycybN4+MjAxmz57NlClTamQ3WBFPPvkk8+fPZ/369YwcOZKZM2eydOlSxo4dy8svv4yHhwcxMTGsXr2ab7/9FqlUWs5yUK/Xo1BUbEdXNoMNsApyjRs3topxpfe+lKNHjyKRSGzuy6FDh0hMTKRNmzYkJiYyd+5czGYzL7/8srVNdfessLCQ//73vzz00EP4+fmRkZHBF198QWJiIqNGjSp37pUJejcyf/58Zs+ejaenJ0b9dWHOZDIjlUoICQlh3bp17N+/H3d3dz799FNSU1NtBK3SayqaTOiuCZzSRg3JSrbYA3oHN0JyTegMDw9n4MCBTJs2ja+++gqDwcAzzzzDmDFjrEJiYmIiffv25ccff6R9WBjqjAwef+QRXvn4Y9zd3HDRaPjP++/TqXVruvQoX+Pqxiwza0xGc5WClslo4HTENgBa93/QrutXW9jzHSrzUoMA3JBsVnQsleIzGTh39ce5mz9S58ozNl369iHtww8pOnIEU24uUrfytWFEs5mSi5ZnsTYsB6uLzd3PH0EQyolaB9auIul8FH2nzMDd798TF42V1NC628Y9dWv53z1EoZlyD69ZFAkY0og2gxtSL8jFRswCkPto0LS3iDWFB5OrPYZXfRd8G7liNotE7b/ePnOP5Y0aZUhhumID/aXHKBHlPGl4ml+w2B3m70xANFefotqwTQf8Q8MxGvQc/G0NqrCmcOOqUomE34WTjPpzFJEZkQQUa+l/uj6CCC1696f9kKqtRMpSkK3j6vlsCrKvrz7ITink8J+XWTX3EGveO8LZf87R0LkVQwNn0NtvLEMDn6KXz6M8FPYsoxq/RF/fcTQRW+GS52YVs/IMmcTmn+ZY5nbyOusImNcV76daox3SCKfW3sg8VNZChb6vdsRrWkt8X+1YpXfr8JDhbB2xle8GfMfWEVsrtDoJcg1iTtc5SK7VxZIIEua0fQ5fpRZSIuHP58qtBr1dSCQSgoODr684KkwHfT4W5S7Yrj6kEimPN38cgB/P/YjBfN0+M6kgiU2XLcVSp7SYUpunXi3lYqsjOOK696irsdXVuBzUPnX5WamrsdXVuMD+2Hw1vtznex/+Lv7MajeLj+//GJVUxb7EfYzfNJ7LOZeR1XOiotVq5lw9Ob9fIvm9w2T/HoNCb2LwzNbIVVKSLuawb2c+oR8vICzV4g2we8UyMq/G35G47gT5EfGUXMxBkEvwHB+O5JoDREphSjkxC+CzXp9VKGaBfXEFuQZZx9WlCAi08mqFXCInpTCF3y/9zut7X6ffun70+qUXw34fRqHB4uBgMpevXbzn5x9Jj4tFplBas+cEiYQHpj1TbXZW9spVGJKSkPn44PF4+bpcNYmtMnLSijix1fLMdBsZgkJ196xZvZuexdqmLsfmoHYRBAGlUvmvTQI+9thjFBcX07FjR2bOnMmsWbOYPn26dfvy5ctp3749Q4YMoUuXLoiiyKZNm6z1iEwmEzNnzrROzIeGhvLll1/eVFxdu3Zl1apVfPPNN7Ru3Zp169axYcMGGzEkOTmZ+Hjb78Hc3FzWr19faXbW0aNHadu2rVVUevHFF2nbti1vv/223ee2fft2YmJi2LFjB4GBgQQHB+Pv72+17gPo06cPq1atYsOGDbRt25aBAweiVCrZsmWLVaxydnZm+/bt5OTkWK36hg4dyuLF12sw7tq1C0EQbKwO7cHDw4PHHnvMKhD5+/uzb98+TCYT/fv3p2XLljz//PNotdoKP5vu1LOo0+l48803adasGY888ggBAQHs3bsXrVZrbVPdPZNKpURHRzNixAhCQ0MZOnQomZmZ7Nmzh+bNm1v76dWrF5MnT7Y7LoVCgZeX1zXL0OsZTLp8y9zVm2++Sbt27RgwYAC9evXC19e30pptglSKcO19IhVBds0Ks6SoyKbdypUrCQsLo2/fvjz44IN0797dRsQ1GAycP3+evKtX0cfHI5rNfDJ3LoMHDmTcCy/Qf/JkfLy8WPfzz0gqqBNWUqZsTVmqy86KOXKQotwcNO4eNG5fcbbY7cKe71CZmxL34SHXx9cCaO7zQebjhFhiIn9nAikfHiHnr8uY8iyWkMbcEnSXcjDmWrKMFEFBKEOagMlEwe7dFR7HkJiIWFSEoFCgaNDgtsfm4unFA9OftRlTNmrXEalczpXIE/zw0kz2rv4JQ4muwv1vJ6IoYrpmOSi9wXLwbhv3CGJdNmuvRfLy8nBzcyM3N9cmZfpmKcjWsWvOAVqppUgEAbMoc34H5wAAIABJREFUEqkz0WtulypX6+iTC0lbdBwk4PdqR6SuVfuGRh9MZsf3Ubh4qJjwbhfSswvI/2A/KqkTv+t3M9PV4v37vP5pNpi744bARoUb6M14PtasXB2nikg4d5o1815DIpUy5bOvEXfvJfntOWA2g0TCXyPr82Njy0qF+z260HKLnsKMDOo3a8HIN+YjlVVduLGUc/uS2LUiGlG01EJs2LYeeenFZCQUWNu4KyWE1JPimy9W+mUm0chQBLpey75yQVHfmcLiXHJSktD6+lf7w9RsNhMfH09QUFCtvZFTClNIyE8g0CXQUrg6dg/8OAxEE/R/F7o+WyvHqYpycV3ZD8sHgTYInj9tdz86o44B6weQpcvi/R7vM6TREAA+OPwBK6NW0smvE9/2//Z2hVEht+Oe3Q044rr3qKux3a64avu710HNuB3Xv66+B6DuxlZX44Jbiy0qM4pZO2eRXJiMRq7hgx4fcF9KmE0mv9vQRggIFBxIwph+3Y5Q2URLcX0X/v4zFo0ATfrUJ7jgIBt/Xk66qxNe9XyY8NlXdo+RazOu2kR3MZuM786ACO6jQq0L8wAOJx9m6rbyE5PfDfiO+3zvq7A/e+Mqm/lV1iWh2FjMibQTHEo+xOHkw5zNPIt4w7JfiSBh64itlvE4cOnYYTZ89A4Aw156E59GTez+zaC7cIG4MWMRi4rw++9/0Y6o3JHiZu+ZKIr89Xkk8WczCQx3Z+hzbe6albNw9zyLt4PbEZtj3PPvUtX11+l0xMbG0rBhQ1SqmmVXVZcVczvp1asXbdq04bPPPqv1vv/NuG43tzu25cuX895773Hu3DmrcHgnqIv3rEGDBsydO5dx48bdVFy6QgN5GcVIpAKeAc413l9/5Qqm/Hzkfn4UI1KYk43K2QWtj/3lVESjEf3Vq5gLLHObMk9PZD4+CBIJZr0efVERCicnJBXUjruxdlYpLp4q1DdkLt34ObbmnddJOBtJ5xFj6DZ6Qrk+bic1+Q415pZgzChG5qVG5qZENIvoojLJi0jAkHhtPlgmoAhyRR+ba+OopbnPl7SFn5H59de4DBxI/c8Wlus//++/ufrMsyjDw2n02693LLb8zAybMWV2ShI7l39N7MljALjW86b349Np3KHTHXu/mgr0JL97CAQImN8NoYwoerfN+dStUeU9hLO7ikaPNuXvAiN7C4z8XWCk0eim1aaeK/w0KIJdwQwFh1KqPU6Tdt4onWTkZ+n4fXMMiz/4DZXUiWJTEU+4WFaI/M/4EBvM3ZEKAq+PaIFLV0vaa15EvF3FqQObtaRBq7aYTSYOrPsZ7ciRNNi6hX9m9uW5mQp+bJyEs9yZeR3n0P2IG4UZGWh9/Hjoxdft/qFekK1j14polICXTEAJxB5Px5RUSIhKQi8fNQ95KblfLcWvgArf7C69A/Gd3QG/NzvjNak5rn2DUIW6I3GS4+LpRWDzVnYV4BNFkczMzFot3F268rf0xzMNe8DA9y3/3v42XIqotWNVRrm4alA/qywqmYoJ4ZYvw+VnliOKItm6bNZfsFi1TG1Rc8/rW+V23LO7AUdc9x51Nba6GpeD2qcuPyt1Nba6GhfcWmzhnuGsHrKa9j7tKTQU8lzEc6xU/oHk2WAyRsiRPheMS9cAnLv64/Nie7ymtkDVzBMEKInJQbIrgQdcZHRzluF9KJlsRUe6teqA3GgiIz2Vvcu++lfiqi30CflkrowCETT3+dqIWQDFxuJy+0gECYEugeVeL8XeuCpzSVDL1HT178oL7V/g5yE/s6jPonL7mkUzCfkJgGWiYcuXlomPdoMeosl9ne3+zZCzbh2xwx5GvLZKWzQZq2x/s/cs9lQG8WczkUgFejwaetdNUN4Nz+Ltoi7H5qD2MRqr/gy4V6mrccHtjW3Tpk289957d1TMKqUu3bOzZ8/i5ubGY489dtNxKZ1kSKQCZpNISWHN+xCuCdxmnQ6lxlK/Ul9caPd3g7m4mJJLly1iliBBXr8+cj+/69k7cjkmudyaCVYWQ4nRKmZptEo8A5zR+jjhGeBcTsy6kczEBBLORiIIElr2GWB3vLVFTb5DZW5KVI21yK6V0REkAurmXng/0wavyc1RNHAFo4j+cu51e8JrtWyN2Tpc+vQGoHD3bsx6fbn+dRcsNUhrq36WvbHdOKZ09/XnkVfn8tBLb+DiVY+89DR+/+RdfvtwHonRZ4k/E0l+ZkatnGNlWOtnuShsxCy4+8Y9d48fwf9DmnXzJ6CplmMHTtO+S0vcvJyq3wlw7uJHVlwehYdTcO0TiCCtIkVTIaVhB2+idyfxz+Y4BkkFUEOJ+ThKQQehg3j4wa9ok6kj2MsJPzc1pgI9BfuSMFwtoCQmB1WIe7Xn1O3RCVyJPMG53Tvx69OZjy59TqRrpGWbfzfmdJnDyR9+JvZ8FEonDQ+/8jZql+qV15y0Ii6fTCd6fzKBcoE2aqnVa9QMSEt/tJVYvngEpRRFgDMll3NtOxJA09nP+gF4T9BxOiRHwskVsHYyTN8JHo3u3PFL62d5NK7xrqObjmbp6aVcyL7AvqR9nEo/hc6ko5lnMzr7da7lE3XgwIEDBw4cOLjzeKg8WNp/KR8d/ojV51ez5MQSlrAEAEnU9cwgQRBQhbijCnHHmK0j/58ECg+mXHdQEQSUJ1IRwifSKekL9uqvcnTHVhp16kpgm/LFv+92Cg4lk/Pb9boY8gCNzfaozChe2/uazWulmVTWxV23iK/Gt9q+wj3CkQgSG9vDUlHNbDKxcfFH6Ary8WnUhB7jJ9t9bENKCslvvW1jG54ydx7O99+P3Ld24gMw6E3sXWOpE9zmgSDcfTXV7OHAgQMHDu4G1q5d+2+fQp2gefPmREZG3tIEuyAIqF0UFOaUUJSvR6mR1WhxiOSaoCXqdCiUKiRSKWaTCYOuGIW64jles8GAWFKCqNNhSE0FUbTY3QUFWfurDpPRTO617H+lkwwnV0t2WnU2gwCF2dns++UnABq1vw9Xr3p2HfNuQxAEVE09UIa6U7Avkdy/Ym0biJD62TGUjbUoWz2EIe44hQcP4XJ/D+B65lfJhasAKGtJ0LoVBEEg5L4uBLdsy6ENazjyx6/EnjhK7Imj1u0PTH+Wln3635bjl9bPkt7BOo83i0PQ+pdxdlfi5i/D2d1+oUXd3AuJ82XM+XqKz2bi1Kr8h09ybjGxGYWk5Or438WrPIyEEL2OplpL9pWPfCN4N4MRS/FTavDTXv8BJHVWoLnPl4L9SeRFJNglaPk1aUrjDp24dPQQ3331FpFtU1FL1Lzc8WVGhI7gyB/rObc7AkEiYcjzr+AZcH31ZUG2jpy0YrTeajRaJVlJhVw6kc7lE+nkJBZQTybQSC4h4JqYBZY3sRRAKUHVSIuykRvKhm7I/ZwRpAKFR1JsLF/ch4fcW2IWWHwVBy+A9ChIPAarx8PU7aB0vjPHv8kMLQA3pRsjQ0fy07mfWHx8MVfyrgCW2ll328pRBw4cOHDgwIGDm0UukfNG5zfw0/ix8Ph1GxOzaGbegXl09e9qI6zI3FWoW9aj8KCt04IgCBCdQ0DAeB7SZ3Ol6AL7Fn7Lw182RaVxLme3crdizNLZiFkAOb9fQhXuicxNyYXsC0zfPp18fT5t6rXhnW7vkFGccd12+w7iq/FlTpc55ewJfTW+7F39E4n/x955h0dRtX34ntme3hskoSSUQOgCQZFeRBAELAiKiCAIivKKiBQpKiLFF8uLooIoIjZEsSAIKCq9JrRQQ4AkpG/6Zst8fyy7ZLObBgGSfHtfFxfZMzNnzm/O1POc53lOnUCp0TBwynTkVZhFn79rl30OXJOJ4ouJ1WrQOrT5IrmZRbh5q+hwX4Nqq9eJEyd1hz///PNON8GJkxqPxk1BvrYYQ7ERvc5YpVyU1z20zJ4tKhcXCnNz0RUUODRoGTIz0Scl2ZSJbm4o69dHkFduv5JJQptWiMkoIVeIuPtqKj3OVlxUyDcL3qYgIw0AT//ACrao+QiCgCbaH+0vFygVSRpJZ6LoRCbKRgNRNhqI9lc9uoQTCHKBwrh0kEBS9UMRnlojDFoWFGo19zz6BOGt2vLNvOuTwCRJYuvK9whv1faWGCIN1/JnyX2cBi0nFSAIAsHBwVUa5BfkIq4dg8jdfom83cl2Bq2v9ycyY0McphIXcqpGQ+vCdORiBAWGdOr5J8GI7aByd7gPt271ydubTPEFLboELaoGnuW2KUGbwC8hJ2mKRFiymh6dOvBUpym0atCKswf28PdXawDo8eR4GrRuZ92uZF4sMD9IpHw9gQqRCIWAv6f8uheWA/wej0IdYW9wc70rCFUT71vy4X8jfXbDKNTwyFpY2R1ST8DGifDw52ZjVzVjp8vioXUDBi2AJ6Ke4MsTX3Iy86S1LFeXe7PNvCFua5/dRpy6ah91VVtd1XU7+eCDD1i8eDEpKSm0bt2a9957j44dO5a5/rfffsvs2bNJSEggMjKSRYsWMWDAAOvyJ598kjVr1ths069fPzZv3nzLNFSGunyu1FVtdVUXVK+2ln4t7cos4etKG2rkfhpzgusS7+oSkFpswk8polF600zZCbw6kTTvX9wigh3mBLgduqqCZJTI/P60gwVgSC8kkSuM2zKObF02LX1b8r/e/8Nd6U5Dz4aVqv9W6BoaOZQuIV1sctkmxB5m78ZvAOgzbjJeQcGVrq/48hVSl9nnZ0AUUYaHlbldVbVlXy3g0BbzhLF7Ho5EoZJVuo23E+f9w4kTM3citNztoK7qgrqrzanLHlEmonaRU5SvpzBXXzWDllIJggiSCam4GJWL6zWDVr5deGKTTmdnzAJQhISUa8wqqU2SJHIzizAUGxFEAQ9/F0Sxcs8ho0FPUW6uzaSbw7//TIdBQyuVfqU6qe5nqNxThffQSBvHBq8hESiCXdGd11Jw4AL6FB2CXE3RiYxSbRFRtXkcwb1+tbSlOrVJJnvvQ0mS2Pj2fO6bNBX/8Mq9Q1cWo9VDy34Mvaa99zhzaN1hRFEkJCSkygnVXDsFgwjFF7ToU/Kt5cnaQl4pZcwSgL6DIghVXZs5IO1FeOQL8G5QZv1yT5U11n3O9ktlrmc0GVlzfA3DNw1njyGOxPrmWQndEsJo06gNaRcv8Ot7S0CSaNPvftr2G2jdVptewI5rxiwPGTRRidyFiX6eCtq4yAhSiMgEAZm3Cpf2gVD6mhFA7l92mMbScVarixvtsxvGIwQe/gJEBZz8yZxT68JO0F6p1t3Y6DKZIPO8eYHvjYc5NGGy+b1g7wJS8ivO/Vbd3PY+u004ddU+6qq2uqrrdvH1118zdepUXnvtNQ4dOkTr1q3p168fqampDtfftWsXI0aMYOzYsRw+fJghQ4YwZMgQjh07ZrNe//79SU5Otv776quvboeccqnL50pd1VZXdUH1agvzCEMU7Ovx09gPEFg+uq/HHAS3AQ05rlHwW7aeM25Kil2y0Zt0KEUXxzkBtLrboquySEYTmV+fovic1n6hAKmqTJ7+/WkyizJp5tOMD/t8iLvS8cS6srhVukrmss3PzuK395eCJNGqV3+a3d2t0vUY0tJIHPsUxvR0ZAH+YGmnKBI8f1653llV0SZJEn9/fRqTQSIsyodGbWpuqCDn/cOJE/MgoFKprDGDgNVFXdUFdVebU1fZaDzMOad0BXqMBlMFa9vuW1SbxxyloiKUGhcEQcBQXIxBX2xOl1JQQHFSErpz5xzWIRXry62/pLbCXD1F+eb1Pf00yBWVfwYZHeQZk0wmslPsjWy3mlvxDHW9K4igVzriNy6aoFc64tYpGFWYBx7dQwl4rhP5O14l/6+FqBrb5xcTBJGs9ZdIXryfrB/OUBCXjqnger8YtDqKzmWX+/59K7R5B4c4PK/TLl7gi+lT+OPTFRTm5tz0fiwYruXQkjsIOVjT3ntqRiv+H2M0Gjlz5gxGo7FK28k9VWia+wKQtyfZWn4hPd8uwoUEqJJ+JVBtDjdIy1bQ4O4K9+Herb45cfXpLIov23vWJGgTGPP7GJYcWILOqCMmOIbJzy5FEEUSjhxk04fvsuGt1zDodIS3akuP0eMBMBQbid12iT8XHaSVWqSPh5we7gqaa2R4y0UkQBnqjke/cAJfaEfQy3fh81ATuw//OxVG8Eb77KYI6wT3LzH/vetdWDMI/tsSDn1ebbuw0ZVzGYw6sxHNs+zZpOWRmJNoV1Yy0fbt5I702W3Aqav2UVe11VVdt4tly5Yxbtw4xowZQ1RUFB9++CEuLi6sWrXK4frLly+nf//+TJs2jebNm7NgwQLatWvH+++/b7OeSqUiKCjI+s/bu+IQwreaunyu1FVtdVUXVK82S/i60kathXsXUmy0T0Bd+qPb+976DJzUGplGzonL+ZwNacjJgu84mvmn/c4kMKQXlNmW291nktFE5lenKIxNB5mAa0ywzTs7A/wYu+cZ0grTiPCKYGWflXiqyo/+4IhbrctkMvLre4sp0GbjFxpO9yfHVb5tOTkkPj0O/cVEFPXq0fDbb4nYvo2wNWuI2L4Nr+HDy9++CtpO/JNM4olMBBl0faRJjR6YdN4/nDgxG6GLiopuKs9PTaSu6oK6q82pq2wUSpnV27kw1/69rTwsYQeNOTlgMqG49rswNRXd2bPozp/HmJlpnjjuaHuVvYHFQkltxYUG8q550Lh5q1BqqhZ0TRTtvbkFUcQrKKRK9VQHt+oZWpZjg6hS4XZ3F0xZFzDlHrRzmJAkCQQwZhSRvzeFzC9PkrRgD1ffP0za6mOkvLWP9I/jSHlrH/n7y5+kX53a3H396DP+OYRrRiRBFOn62JM06XQ3kmTi6JZfWPXCMxz+/WdM1bA/47WQgzIHIQdr2nuPM+RgDSAn58asqa4xwRQez6DgUCqe/RsgquU09HNFFLDx0IoWE5AfOIuobkFGcSYXc6NoVon65b4aXFr7U3AkjZwdlzAM9SExJ5H6bvX5I/EP3j38LjqjDleFKy91eIlhkcMQBIGQps25cvI4p3dsAcDF05uBL0xHl1XM+Z/PU3QyE18k2ssEkJlvqAZJIs0gcdVg4t6XOuARaj9j81aGEawqN9pnN0VEH2zi00gm2PQCNO4FnvWqZRdWXZb8WT4NQXZjtwnLTGVHibbvBHekz24DTl21j7qqra7qutUUFxdz8OBBZsy4HhtbFEV69+7N7t27HW6ze/dupk6dalPWr18/Nm7caFP2559/EhAQgLe3Nz179uT111/H19e3zLbodDp0uuuzzix9ajQarS+ugiAgiiImk8nmo9FSXvoFt3S50WgkJyfHum3p9S0zvkylPvjKKpfJZOaZjw7KS7exrPKb1WRBkiRycnLqlCZLG0vrqu2aBEGwntcWbdWhaXCjwXQJ6cJF7UXy9fm88s8r7E7ezct/vcyS7ksQEW3aLrorUHuqMJlMGI1GPAPV9BsXxS/vx3HmQCqtez3HhY1vInnfi1DKUJaz/RKyQBdEjdxGE9heZ46Oe3X2k7HYQOb6eHQnMkEm4DOyGS5RfrjdWw99eiGZmlzG7hlPSn4KDTwa8FGvj/BQeNjdU8rrJwsldVX2OquKpr0/fEPisVjkKhUDnp+GKJNjNBorPPf0ublcHv8Muvh4ZL6+1P/kYxSBgRiNRtT+/ta2O9Jkabuj+4cjTcf+usI/35jf0yUjXD6dibufqsJ+uh3XU+lyi+6SumrbPcKRJksbK7rOblSTk7pJTRkArG7qqi6ou9qcusrGxUOJNq2Qwjw9rp4qhEqG8rMYqoxaLUatFplaZXYOKMhHrtODICLz9EDm5YVUXGwTdlAREoJYQbhEo9GI0WBCm14IgNpVgca9bCOYIyRJojDX1oteEEX6jJt828MNWrjd4wfuvXqSu2UL+X/+TuDsodbwhJLJiExzjqAZo9Gd16I7m03R2WwMqQXoL+fZVnItUoIq0gu5V9l5pqpTW3TPvjRo3Y7slCS8gkKs/ZV4LJYda1aSnpjA9lUfEvvHZnqMHo93cAhZyUl4B4dUqW8lk4Qh+1oOLQceWlCzxnycBq1ajKqxF3J/DYa0QgoOp+IWE0Kwp4aFQ6N5dcMxjJJEoKDlK/flXCicD8Dl4mIunchEm1aAZznh+iy49wil4EgaRcczmFj4IgkqW1fUzsGdmd9lPsFu5tjyuRnpJJ06cX17hS/1ieTS0qOo8414CgKeAoCASSVDH+DC4fgs0oolJBG6j2zm0JhlQe6pqtGJsG8pmeewz3BoNIcGrCaDlhVL/iyfxjdcRXmJtp04ceLEiZn09HSMRiOBgbYJeQMDAzl16pTDbVJSUhyun5JyfbZY//79GTp0KA0bNuTcuXO8+uqr3HfffezevRuZzHGulYULFzJv3jy78tjYWNzc3ADw9fWlQYMGJCYmkpFxPf54cHAwISEhnD9/3uZFNzw8HD8/P06dOkVRUZG1PDc3F29vb2JjY20G8KKiolAqlRw5csSmDW3atKG4uJgTJ66/Y4iiSNu2bcnJyeHs2bPWcrVaTYsWLcjMzOTixYvWcg8PDyIjI0lJSSE5+bp3e3VpatTIHKL3+PHjdUZTRESEte/j4uLqjCZPT0+bcy8uLq5aNckL5VxMvshz9Z9j2cVlbLu0jXm75/FMg2e4mnK1Qk1tBgZy6KcUjm67Skh0X/af3kwH//6Ignht8NxE8TktScv2kx2jpEHHpnaaAIqKitBoNLesnyIaNiZ59VG4UIAkQnaMEoNLHg3w44r2KmczzvLWhbe4WnyVYE0wn/T9BG2Slks51731q9JPFkwmk835eLOainK1pMWf4Nx2c47B9kNHkJiWQWJaRrn9FBwcTLCfH+eemYB05AiSiwt5L/2HPHd31FBpTVFRUdb7ckldpTUVZhs5+q3twMpf606TY0rG08+lxlxPFk1KpdKqx/J/bb1HlNRU+noymUzo9fpq0XT16lWcOHHixMmdQamRI8pETEYTRfn6ShmNTHo9Rq2toUiuKwa1EoMoIg8ORu7lhVDi+0t0d0fSFSOolBUaswCQICetEMkkIVfKcPdRV9k7uzA3h6J8c7qa7qPH4+buZmMc+f+AW7duIJOhO30aRbCBoFc6kvTyPAr27iBw5lREtRxNlC+aKPMEUKNWR+6uJPL+umxbkQSpH8bi1jkYl7YBt2WM2t3Xz66vwlq24vG3lhP7x2b+/WYt6YkJfLvgVetyQRDoM/45onv2rdQ+THnFYJBABFktGHd3GrRqMYIg4NY5mOxN58nbnYRrZ3NytkfuCuPeJv5cvJpFux2jSDrjhbeqntlTplEDOJ3L8b+T6DI0osJ9KAJdEZq5Ip3K56H0viyu95l12QvtXuCplk/Z3EizrlzBXxVKiEsEIS4RuCuuhTcqMIEgkCcIKJt6E9yjPupQDwRRIDCrCG1qIZ4BGtzKsAI7wWxcupZs0ooggs+N57gqE4tBy/fGDVrgONG2EydOnDi59Tz66KPWv6Ojo2nVqhWNGzfmzz//pFevXg63mTFjho3nV05ODqGhobRq1QoPDw8A6zM/LCyM0NDrHreWcotRp3R5s2Zm33Cj0UhcXBzu7ubJK61atbJZ3zIDvk2bNnblarXarhzMA4GOyn18fByGWQwKCrIxCN6sJguW2fYtWrSwMRrWZk0Wbwcwn0cWXbVdE5jPPcv5GB0dbU24XZ2a2tCGoPAgXtr5EhvPbsRN4cZ/2v3H2rbyNAl6FQd/u0jSBS+K8uJIKUrATeFFnj4btaihb8RoZAUivn8WI6pzke7xsF5PFl1qtRpRFG9JP0kGExlrT8KFApCL+I5qSkikt1VTgWsBiy4t4mrxVUJcQ1jVbxWBroH4NbL9GK9MP1mw6KpOTVeOHGDvJx9Yr9/gyGZ0eWConYcP2PcTJhNXXn4Z6dAhBI2G0JUfoWnbtkqaLOWWmeWlrzOLpsI8PT8uO2ynAQnqBzSiXhMvq6Y7dT05Ko+OjrZeYzKZrNbdIxyVW9pY8nxUKBTVoqn0ZBUnTpw4cXL7EAQBF3cFedk6CnKLUbspKjQcSTr7nEqiJJm92I1GjCoVilKTCUWFAipjyAKMBhOFOSZMeglRJuDpr6m859g19LoictPTAFC5utGwRQvU6v9/Y68yLy9c2renYN8+8rZtw2f0aIqO/41UlI26SRP79T1VuHUJIW/nZTvfAlO2jpzNCeT8noCqsRcubQPQtPRDVMkwanUoUo0YtTpkPhU7ktwMokxGm37307RLV3Z8/gknd263LpMkia0fv0+D1u0qZbi05M+SeagQZDU3nLUFp0HrDiMIAuHh4Tcc+9ylfSDa3xMwpBaiO69F3dj8MRPsoSZ42zxIPkiG4QUC5VDgmk/znlEknI7j1O5kOg1qhKycBIJ6o55tidvYrPyJlxhBt5wOrPX/hWSl+UbYyr8VgiBgKjRQdDqTwhOZCCfz6BE8wlqHUTKQWphInkco4fc1o2lMsN3N181bXasMWTfbZzeMZz0YtNwcZlC65k7tEQLuwdVSvY0uS8hB34qNnhUR5Bp0xw1Zd6zPbjFOXbWPuqqtruq6Hfj5+SGTyexmZV+9epWgIMf3zqCgoCqtD+aBPD8/P86ePVumQUulUqFS2c/Gkslkdl5dZSWDLcv7y1JuOVcs21e0fmXKBUFwWF5WG6taXtm2mEwmwsPDkcvlDuuqjZosbSlLV23VZCkvqc1y/6puTX0a9GG+YT6z/p3F2pNr8VJ58UzrZyrU1OmBRuSkF3FqVyIIUGjMpdBozmlbaMxFf6+ER5Ivhccy0P5yAV1CDj7DmyBq5DbXWVltvBlNkt5Exrp4iuKzQC7iNzoKdeT1wfm1J9ayaP8i6++Hmz5MPfd6Ze6zsuUldVXlPChLU35WJttKGLMAUs6dJj8r0+GHv80xkCRS5s0n97fNoFBQ/913cevQocqaStZd1nVWoNXz0/IjZF8ttNcmgk+ANoNCAAAgAElEQVSQq52xuby2V6a8Ou7NAHK53KGu2nKPKK+8MtdZdWlyUvtRKqsWHqy2UFd1Qd3V5tRVPmo3BfnaYox6E/oiY4V5qgQH304AKhdXCnJz0BXko74W7aCqFOYVk5tx3YNY7apAJq/ac8JkNJJ9NQVJklBqXFAZakZo2zs1fuDeqycF+/aRu207HgMHYkxPB0FAFeF47FPuqcJ7aKQ1PCECeA5qhKiQkX/oKsUXctCdzUZ3NpvsjWdRBLtSfCkXHwlSdx7Ee2gkrnfd+vFQjbsHLbv1tjFoAUgmE9kpSZUyaFnyZ8kd5M+Cmjfm43xjusOIooifn98Nv7yKajkubQMAyN9zPeQC/y6H2PUUGZW4ytsD4H5XPRpE++LqpaIwV8/5I2kO67yUe4l3Dr5D7+96M23nNLbp/2a/6zFkiDyTMhw/vRchen/qnXAj7eNYkhbsIfOreAqPpiEUm9CZDFzIjeOfqz+w8eL77MrNJvLxNjS6O6TKMwlqIjfbZzdFuyfghTh4eC0oXEF7GeK+rZaqbXRlVo+HVk3hjvbZLcSpq/ZRV7XVVV23A6VSSfv27dm2bZu1zGQysW3bNmJiYhxuExMTY7M+wNatW8tcH+Dy5ctkZGQQHFw9kyBulLp8rtRVbXVVF9w+bYMjBjP9rukAvH/kfdadXFfhNoIg0POJZgQ1CsM+czUYUy7hM7I5XoMagUyg6HgGV987TPHlXEy5ety0cky5+mrXIumNpH9+nKL4LASFiN+TLWyMWRe0F2yMWQDvHn6XlPzyE2hXhurur7TEBLs8RpYP/wq3XbaM7G++AUGg3uK3cet6z021pSxtGUl5fP/2QbKvFuDmraLjoIZY0qkJ18K11+SJgc77hxMn5vu5QlGxp0dt40Z1ffvttzRr1gy1Wk10dDS//vprhdt88MEHNG/eHI1GQ9OmTfn888/LXHf9+vUIgsCQIUOsZXq9nunTpxMdHY2rqyshISE88cQTJCXZ3u9Pnz7N4MGD8ff3x9fXl65du7Jjxw473aX/rV+/3rr8ySefdLhOixYtKnuIAGjQoIF1WxcXF6Kjo/nkk0+qVEdpqtJnGRkZ1K9fH0EQyM7OtpZv2LCBPn364O/vj4eHBzExMfz+++82286dO9dOf0lv2MzMTJ577jmaNm2KRqMhLCyM559/Hm2p0H0An332Ga1atUKtVhMQEMCkSZOqpMvSlv79+9stW7x4MYIg0L17d2uZKBNRu5q9pwpziys8TqJCgSIkxKZMERKC6lo0Cl1BPkePHqVr166o1WpCQ0N5++23K6z37OnzPPDAIBo0CyKqfWPmvTmLnMwCjFUwSEmShDbtKka9HplCgbuPL9SQ+9Cdeoa6XZvYWXDwIAX79wOgCA1FdHUtcxvXu4IIeqUjfuOiCXqlI+5d6uF6VxABz7Qm6OW78OgTjtxPg6Q3UZyYe92b61q+LYPW3ovvVuAdHOLwGpCrKveeaLhm0JKV8V5Z0957akYrqkBmZiYjR47Ew8MDLy8vxo4dS15eXrnbdO/e3e5mOmHChNvU4vIxGo0cP378phIYusWYb56Fx9MxanUQ/xv8MReAC0Ev4yb3xigZCOrRAlEmEnWPef1jO69Y6zCYDGy7uI1ntj7DgA0DWHVsFZlFmQRoApjQegK+4eZtOuVH8/nZN/j07DxMW9LRndOCSSLXKHGmyMjfuQY250gc1dcjVWyNzOMJFJpovAJurZvl7aQ6+uym8KwHUYPg3pfMv7fNB739jM2qYtVVXAhZ12K6V4OHVk3gjvfZLcKpq/ZRV7XVVV23i6lTp/Lxxx+zZs0aTp48ycSJE8nPz2fMmDEAPPHEE8yYMcO6/pQpU9i8eTNLly7l1KlTzJ07lwMHDjB58mQA8vLymDZtGnv27CEhIYFt27YxePBgIiIi6Nev3x3RaKEunyt1VVtd1QW3V9uoqFFMbD0RgIX7FrLp3KYKt5ErZPQcfRdyl97YGLUE2PLdV2Tu34fb3fUImNAambcKY2YRqR8cIWXhPtI/jiPlrX3k7795Q5IFfVoBqSuOojuTjaAQ8X2yBeoIL+tynVHHy3+9bLedSTJxKfeSXTmAPiWF/D170adU3M7q7K+i/Dx2fb3WrlwQRbyCQhxsYUafkkLS7NlkfGweVAyaNxcPB4NkVcWRtpTzWn5Ycoj8bB3eQS4Mndaeu+5vyBNvdGHIi2154o0uRN1ddltrAs77hxMn5kHlwsJCqwE9NyOdxGOx5Gak3+GW3RyldVWGXbt2MWLECMaOHcvhw4cZMmQIQ4YM4dixY2Vus2LFCmbMmMHcuXM5fvw48+bNY9KkSWzaZP8cTUhI4KWXXqJr16425QUFBRw6dIjZs2dz6NAhNmzYQHx8PA888IDNegMHDsRgMLBt2zb+/fdfWrVqxcCBA23y1AKsXr2a5ORk67+SxrPly5fbLLt06RI+Pj489NBDlT5OFubPn09ycjLHjh1j1KhRjBs3jt9++63K9VioSp+NHTvWLvQqwM6dO+nTpw+//vorBw8epEePHgwaNIjDh23D4rZo0cLmOPzzzz/WZUlJSSQlJbFkyRKOHTvGZ599xubNmxk7dqxNHcuWLWPmzJm88sorHD9+nD/++MPht0xFuoKDg9mxYweXL9vmQlq1ahVhYWF262s8zAYtXaGBojx9hUYkuY8PqqZNUTZoiKppU+Q+PijVagRRRJutpV+/foSHh3Pw4EEWL17M3LlzWblypcO6DHojWVfzGPTAIIr1xfz8/RbeW/IhX3+3jkXL3qiSQatAm4UuPx9BEPAKDEIsw/P4TnCnnqHK+vVRNWkCRqP1XU7VJLLC7eSeKtSNvezyZcl91Hj0CiPwP+3xHOzAIUACw9WCaml7Rbj7+tFn/HMIpQxOv6/4L0UV2E0ADFnXPLS8HXsd1rT3nloXcnDkyJEkJyezdetW9Ho9Y8aMYfz48axbV/5Mx3HjxjF//nzrbxeXmmNgKZmE9kZQBLmibOBBcUIOeTvi8DzxNCBBh6fI2x2EO6Dz0yNTm7s76u4QDvyaQNKZbE6fv8jWnJ/ZcHoDqYWp1jrvDrmbh5o+RLf63SDXSPL6fdZlAgKSJJFpkEgySFzVm5D5qIm4O5De7QNIvZjDX+viEUT3WjFz8Ea42T6rFjpPhAOrQHsJ9vwPuv7npqssKioyG7MkIyhcqi2cYU2gRvTZLcCpq/ZRV7XVVV23g0ceeYS0tDTmzJlDSkoKbdq0YfPmzdZcGomJiTYzobp06cK6deuYNWsWr776KpGRkWzcuJGWLVsC5nBIsbGxrFmzhuzsbEJCQujbty8LFixwGFLwdlOXz5W6qq2u6oLbq21i64lodVrWnVrH7H9nYzAZqOdWjzCPsDLDMxflG5CropEpGmAyZiMIcvT5v1Ko0PL9W3MZsfQD3Bs2IvC5tmR8dQrdmeuzqC0zQ1VNvG86YXXu35fR/nLB+ts1JsQa6hzMk+Ne/utlTmWdsttWFERC3UPtyrO/+47kOa+ByQSiSPD8eXgNH15uO6qjvwpytHz/xhxSE84hVyox6vVIkoQgivQZN7nMsCzZ331H8uw5cG3AzL1fP7wffvim22OhpLaEuHR+X3kMg95EYEMPBk5qjdrNPMBW28K1O+8fTuoqkiRhcJA/x9F6usICZMCJndvZvvpD8z1HEOg5ZgItujkOBV0WcpWq0l5R3bt3t74ffvHFFygUCiZOnMj8+fOtdWRlZTFlyhQ2bdqETqejW7duvPvuu0RGmgd5L168yOTJk/nnn38oLi6mQYMGLF68mPvuu8+aZ7OyLF++nP79+zNt2jQAFixYwNatW3n//ff58MMPHW7zxRdf8Mwzz/DII48A5jDa+/fvZ9GiRQwaNMi6ntFoZOTIkcybN4+///7bxqvI09OTrVu32tT7/vvv07FjRxITEwkLCyM9PZ0zZ87w6aef0qpVKwoKCnjrrbdYsWIFx44dswnt7eXlVWaob09PTzw9Pa2/N27cSFZWlnWiWlVwd3e37mf69Om8/fbbbN26lfvuu8+6zj///MOMGTM4cOAAfn5+PPjggyxcuBDXMjxOKtNnK1asIDs7mzlz5tgZ0P773//a/H7zzTf58ccf2bRpE23btrWWy+XyMo9Ry5Yt+f77762/GzduzBtvvMGoUaMwGAzI5XKysrKYNWsWmzZtsgmX7sjIVpGugIAA2rdvz5o1a5g5cyZgNq6mp6fz0EMPceLECeu6+/fv59VXX+XQwUPoDQZaNo9m/pw3ubtbZzRuZYc1LJ0XSxBEVC4ubPhiLcU6HatWrUKpVNKiRQuOHDnCsmXLGD9+vHV9g95EgVZHUb6ebTu2cvrMKb5d+yMB/gG0bAHTp85kwaK5vLX4DSozlF9cWEBuZgYA7n7+KFRqjDXsmXWnnqFuvXqiO32aouPHAVA3aXrTdQqCgCbKF+1P5+zybWX9cBbv4ZE27823iuiefWnQuh3ZKUnIFEo2LXuTjMuJ/PD2fIbPWoBCWfb3gPGaQUtWRshBqFnvPbXKoHXy5Ek2b97M/v376XAtRvl7773HgAEDWLJkCSEhZc9Qc3FxKTe3RG3HLSaYzIQc8vcl46EoRGjYFW3b/+D91zGQgW+36542Gk857pGQEw/LvljFvw02AOCj9uHBiAcZ1mSYzUdnWnx66UAnCIJAgkLEv0sQ7TsE4B/mbn0h8g91p34zbw7ujqN9TDSefjXHeFinUGig1xzYMA7+fgfaPgFu/jdfb+Z58/8+jWuMO7ITJ06c1HUmT55s9bAqzZ9//mlX9tBDD5U501Oj0diF/nDixMmdRxAEpnecTp4+j5/O/cScXXMAs8HntZjXGBo51G4brwCN+XVMdEcmmsPXKNyGgXY1uQoZ3708hREfrUHt44N7t/q2Bi0ACfQp+Tds0JL0RrR/JJL3l+2s5ry/L+N2dwhyTxUmycTcXXPZfmk7SlHJY80e4/OTn2OSTFZtpQ12+pSU68YsAJOJ5Dmv4XrPPShu4TdbbmY6370+m8wrl9B4eDJ85gI07h5kpyThFRRSpjFLl5BA8qzZtnVt3Yo+JaXa2xu/J5ltn59CMkmEtfCh//hoFKqaM6vaiRMnZgw6He+OLt8IXx6SJLFt1Qq2rVpRpe2eX/MdCnXljdpr1qxh7Nix7Nu3jwMHDjB+/HjCwsIYN24cYA6Rd+bMGX766Sc8PDyYPn06AwYM4MSJEygUCiZNmkRxcTE7d+7E1dWVEydO4FYiJ5D7tdBqZTFq1CirsWr37t1MnTrVZnm/fv3YuHFjmdvrdDrUpfRqNBr27duHXq9Hcc2IMH/+fAICAhg7dix///13hcdFq9WaPVe8zIPMvr6+1nCGbdu2xWg0snLlSqsxpCSTJk3i6aefplGjRkyYMIExY8aUaWT89NNP6d27N+Hh4RW2qSxMJhM//PADWVlZNrmizp07R//+/Xn99ddZtWoVaWlp1m+K1atXAzBhwgTWrrX3SC5JyahXJ06cYP78+ezdu5fz589Xqm25ubn4+PjYlJ85c4aQkBDUajUxMTEsXLjQoTeUBa1Wi4eHB3K5eZh669atmEwmrly5QvPmzcnNzaVLly4sXbqU0FD7STIV8dRTT/Hyyy9bDVqrVq1i5MiRduvl5uby+KjHmfvKQiQkVnz8Ho89+RB7/jxEeNNgZHKR++67r9xzLDw8nOPHj6NyceXA4cN07tjRpt969+7DokWLSE/LwNvLm/wcHUV518NEH447QMuW0TRuFmbNodW9Wy9enjWVU/EnbQyHjjAaDGSnpoAEGnd3NO4eVTpWdR33nr3IWHHdgC4PCKiWeh3l2xKUMoxZRaR/HIdL+0A8BzRE5qqosK6bwd3Xz/o+O/TV+Xz92nSS4k/wy/K3eWDqq2V66hmyzBM05LVk0lStMmjt3r0bLy8vqzELoHfv3oiiyN69e3nwwQfL3PbLL79k7dq1BAUFMWjQIGbPnl2ul5ZOp0NXYrZNTk4OYJ71YXGvEwQBURQxmUw2rq2W8tJueI7Ky/obrieFLT3TwFG5MtIVUZaHyehFgeYB1MMWc/6bf/CX+aFHR3DbcFJyU9h4biMbzm5AJnoykIk0Sb0LffskhkU9SM/6PVHKlVZNuZmFxO24wtm/k+ilEW0e0CZJou3wCOq3D3So1dVLiWeIHI2H3GZZVTSBeZa5JEkOy0sf97LKq6OfLG0UBMFabvn/jmpqMRRh9/8Qkg9j2vEm3L/0hjVZlknpZ8z/+zbGVMlzsib3E1zvK0mSKn2d1XRNFj0l9dUFTaIoOtRV2zVZ2l7y/lFXNFn0gPmcLKvtN6KpprizO3HixEl1IQoiz7Z+lp/O/WQtM0km5u2eR5eQLnaGHzdvNd1HNePPL08hXbuFijIv/KLGcfXYR2TK4Lvnx/PIp18i93cxRyYsPTP0+zNIAxuhifazG3DTp6RQnHARZYNwG8OMZJIoOJpGzuYEc0jz0khgSC9E5qFk8f7F/HjuR2SCjMXdFtMzrCcjo0ZyKfcSoe6hDr3PcrdsvW7Msh4IE6lLlxH02mvI3MrOZXCjaFNT+HbBTLSpV3Hz9eOhWa/jE1IfoNxk2UUnTnBpkoMJByYTxRcTq9WgdXTbJXZvMA8gNukYSM/RzZHJal2WACdOnNQgQkNDeeeddxAEgaZNmxIXF8c777zDuHHjrIasf//9ly5dugDmsbPQ0FA2btzIQw89RGJiIsOGDSM6Ohowe0jB9W/Rw4cPl+sx5uFxfTA9JSXFGoHAQmBgoF1Iv5L069ePTz75hCFDhtCuXTsOHjzIJ598gl6vJz09neDgYP755x8+/fRTjhw5UqljUlRUxPTp0xkxYoS1fYIg8McffzBkyBA8PDwQRZGAgAA2b96Mt/f1XJHz58+nZ8+euLi4sGXLFp599lny8vJ4/vnn7faTlJTEb7/9VmFEqbKYPn06s2bNQqfTYTAY8PHx4emnn7YuX7hwISNHjuSFF14AIDIyknfffZdu3bqxYsUK1Go18+fP56WXzOkqLKH5NBqNwz7T6XSMGDGCxYsXExYWVimD1pIlS8jLy+PhEh7LnTp14rPPPqNp06YkJyczb948unbtyrFjxxwaQNPT01mwYIGNx9L58+cxmUy8+eabLF++HE9PT2bNmkWfPn2IjY21MRBVhoEDBzJhwgR27txJ+/bt+eabb/jnn39YtWqVzXo9e/akuMhA9rUwcUsXvktkqzB27f2XkIYPIpOLfPLJJxQWlp32w2JkVbq4kJqWTlhofYwGPTK5gsK8YlSYj8Gp2PM0ibjuHaRUy3H1UpKdm0FQUCAaNyUKlYyC/EKaejUEKPdagWt5s1JTMBmMyJVK3P0C6lz+vptF3SIK0d0dU24uACnz5iHIZRVGCagMrncFoWjswam9x2jWqSVyFyXazQnk702m4OBVik5l4Hl/I1za3p5+8Q9rwJCXZ/PdG7M5d2Avf3zygTksYal9SyYJY7b5fb88D62aRK0yaKWkpBBQynIql8vx8fEp96J+7LHHCA8PJyQkhNjYWKZPn058fDwbNmwoc5uFCxcyb948u/LY2FjrbBRfX18aNGhAYmIiGRkZ1nWCg4MJCQnh/PnzVkMYmK30fn5+nDp1ysZNLzg4GFEUOXLkiM1gX1RUFEql0u6h3KZNG4qLi6+7xUoS4XHLcMWLXEaQJjzO6WOHcTuWCSo/soLyWLL9ef5N+Rcj5sFBN988TO46VLkuDM99ioAsJcezjuPr64ub3Jd/fjhJ0ok8S0QNjiDRWiNDFARMksTRQiO+BZdxyVQ41BQREUFERATHjx+/MU2YB0zbtm1LTk4OZ8+etZar1WpatGhBZmYmFy9etJZ7eHgQGRlJSkoKycnJ1vLq6qeIiAg8PT05fs0tNS4u7s5runQZXcMnaJp8GOHQZ6Q1GkpAi65V1hQbG2vtp6yz+/EHJJ/GtbqfSmoCrLN46pKm5s2b06hRI+u5WBc0RUVFWV8AS+qq7ZpK3yPi4uLqnCYLRUVF1abpzJkzdvU7qd2IokhERESNSSZbndRVbXVVF9w5bVfyrtiVmSQT2xO381jzx+yWRd0dQliUD9rUQooK9Pzx2UnSU9wIaPo4Kac/56q+iI1TnmHYB5/azwxVyzHlFJO57hSqRp54DmqMMthsLMr6+mtS5s4zh9ATBAJfnYH3qFHozmvR/noB/RXzjG3RXYmpdGJ0AeR+Gj6K/Yi1J80zv+d1mUfPsJ4ABLkGOTRkSXo96StWkL7CcWipnE2byN+1C//nnsNr+DAE+fXP1Zvpr4zLl/ju9ZnkZWXiFRjM8Fmv4xkQWO42kslE5urVpP53Oej19iuIIsrwsmebV4X8bB0p+0QSjpoHD1v3DOXu4REIYu0ehHLeP5zUZeQqFc+v+a7C9SyTKgu12Xz2n4m2k81EkSeXrsDdx7dK+60KnTt3thm8jImJYenSpRiNRk6ePIlcLqdTp07W5RZPpZMnTwLw/PPPM3HiRLZs2ULv3r0ZNmyYNeybSqUiIiLilg7Mzp49m5SUFDp37owkSQQGBjJ69GjefvttRFE0e9Q8/jgff/wxfn5lT06woNfrefjhh5EkiRUrrnvHSZLEpEmTCAgIYOfOnSiVSlavXs2gQYPYv38/wcHB1vZYaNu2Lfn5+SxevNihQWvNmjV4eXnZ5NiqCtOmTePJJ58kOTmZadOm8eyzzxIRcT360tGjR4mNjeXLL7+00WEymbhw4QLNmzcnICDAOo5qORdlMpnDPpsxYwbNmzdn1KhRlWrfunXrmDdvHj/++KPNWG3JkIitWrWiU6dOhIeH880339jlycrJyeH+++8nKiqKuXPnWstNJhN6vZ53332Xvn37AvDVV18RFBTEjh077HJpVRRWXaFQMGrUKFavXs358+dp0qSJw/CFV69eZearM9m+fQfpGenma7ewgCtJl8jNKEIySYSEhFTqnJfJ5IjXJqXoCgpQubhbPa5s2qaS4eqlQqm2H6KXyUVc3NQ2DhdlYTToyc3IoLiw0JwTNDC4xj6j7uQz1JCaajVmASBJ1RolQOGtIbxLUxQeZsOx95AIXNoGkLXhDIarBWR9c5qCQ6l4D4lA7qe56f1VRP3mLbl/ystsWrqQuO1bcPXy5u5HHrdZx6jVgUkCmYDM3bGxuKa99whSVTI43iJeeeUVFi1aVO46J0+eZMOGDaxZs4b4+HibZQEBAcybN4+JEydWan/bt2+nV69enD17lsaNHSRtw7GHVmhoKJmZmTYzOG7nDPiyyoV9HyH+PgOD5EdK8WqQBOb7LOfV9InIRSX/CV3MCTdzzPs2/m14KPIheof35tSONHb/cA7f+q7EDG1MQU4xp/dc5fKpLOu+QiI9ad07lAJtMfu+Po2LIFAgSXR8tAnNuwTfMk0WaqOnwp3QJH7zOEL8L0iRfRFGfntTmsQvBiMk/I00+H+YWj16xzRV1Pba2E9OTU5NTk1V06TVavHx8bGGoHBye8nJycHT09N5/J04qWZS8lPo930/TJLJbtmQiCG82P5FfNQ+DrY0c+V0Fj+/dxSD3oS36wVSEjcgiQKRDSIYtHAZxlw9hvRC5H4aRI2c3L8uk/vXZTCYQABNtCfF5zeTvXa1Tb2iWxDK6IdQBEZfKzEgc09FFSFSdDIXY0EjBFGGZDKibpjH1u45LNy3EIDpd01nVFT5A2DFiYlcmTaNoqOxAGjatKEwNtaaQ8v70UfJ//dfiq9NclBGNCbw5Zdx7dr1pgZLr144x/dvzKYwNwff+mEMn/U6bt5lH18we64lvTKDgj17AHDv0xtNh7tIXbSoSjm/KsOxnVf4a93179tGbfzo/0y0c0b1/0Ocz907S3nHv6ioiAsXLtCwYUO78HdVIW77FrZ+/D6SyWTN2xfds+/NNr1MunfvTqNGjWy8UH788UeGDx9OUVERv/zyC8OGDaOoqAhZiTBUbdu25cEHH2TOHHNo3EuXLvHLL7+wZcsWfv75Z5YuXcpzzz0HYBN+0BElQw6GhYUxdepUq0cRwGuvvcbGjRs5evRoufXo9XquXr1KcHAwK1euZPr06WRnZxMbG0vbtm1t2m/55hBFkfj4eOu4n8WYdf78ebZv346v73VD4rZt2+jbty9ZWVk2/R8ZGcnYsWN55ZVXHLbrl19+YeDAgRQVFdkYVSRJokmTJgwcOJB33nmnXG2OaNCgAS+88IL1WF26dIno6Gh27dpFVFQUYJ7g2qdPH4fGtLCwMJRKZZVCDrZp04a4uDjr88fy/SaTyZg5c6bNpP/169fz1FNP8e2333L//fdXqOeuu+6id+/eLFy40FqWm5tLv379cHFx4eeff7a5tlavXs1TTz3FpUuXqF+/vrU8MDCQ119/3RoysyLmzp3Lxo0bOXLkCMePH6dTp040b96cMWPG8Oyzz/LCCy9w5MgRa4j3/v37k5GRwauvzMLXIwiVUsn9Q/vwwnPTGD/GPOb82Jjh7Nm3q8x9WkIOAjz26CNkZmTw5eo1CDIvDMVG/tm1k2GPDSL+aAJent54BbrYGLPmzJnDTz/9ZDN59MKFCzRq1IhDhw45DDlYkKMlJy3V+lvj4Ymnv61DSHXdx2o7+Xv2kvjkk3blYWvW4Nqp4y3br2Q0kbvzCjnbEs3v5HIRj16huHetjyC/9Uai2D82s/Xj9wHo+dQE2vYbaF2mO59N2so45L5qgqbddcvbUpIbffepER5a//nPf3jSwclUkkaNGhEUFERqaqpNucFgIDMzs0r5sSyzT8ozaKlUKocWfplMZvOghOsDeI7WrajcaDRy5MgRWrVqVan17crPboMt5hiwhb2fJS2uAP9EV6ZkjEYuKsk2ZXHC9QIPNHqA0S1H08S7iXX7ZjHB7Nl4jozL+fz8bqy1XBCgcfsA2vYJIyD8+snUINoPbWohngEau0TEpdtoNBqJjY0tU0HS5R0AACAASURBVFdVtAqC4LC8rONe1fKqHnfAobY7qqnPfDjzO8KZLXD+T2SNule6LZZyS5+1yTxnbqNfZK3up+q4zmqyJrix66yma4LyddVWTZbyktosHwq1XRPY91l1aSrvPuykdlLRfas2U1e11VVdcOe0BbkG8VrMa8zbPc+aZ6qNfxsOpR5i49mNbE/czpR2UxjeZDiiYH+PrNfEm/snteLnD2LJym9IQEAfrqZt5UzCWf5Y/AYdnhzH4bh/adflHrw8A/HsE45LWz8y1x5EnyJQGKtFKo5G0bAbeRknMPo0xMO3Bep6Ha0GK33CTopP/YxUfH0Gq6D2QnQLwJSXSq5Oy0d6ATxFJraeWK4xS5IktD9s5Orrr2MqKEB0dyd43lw8Bgwwhzy8mIgyPAxFUBBScTFZ678m/YMPKD57jkvjn8G1SwwB06eDmxvxO3bQtEcP1PXqlXuMczPSyUpOQleQz+8r/ouuIJ/ARhEMnTEPFw/PcrfN+X0LyXPmYNJqETQaAl+dgdfw4QiCgEe/vjbtvVmuxGfaGLMALsSmk5+ts/veqo047x///8jMzOS5555j06ZNiKLIsGHDWL58eblGj5UrV7Ju3ToOHTpEbm4uWVlZ1rxGAAkJCSxYsIDt27eTkpJCSEgIo0aNYubMmdawYwkJCTRs2NCu7t27d9O5c+fqF1oFSoZ5i+7Zlwat21WYt6862bt3r83vPXv2EBlp/tZv3rw5BoOBvXv3WkMOZmRkEB8fbzWagDnayYQJE5gwYQIzZszg448/ZvLkyRQWFlYp5GBMTAzbtm2zMWht3bqVmJiYCnUoFAqrYWP9+vUMHDgQURRp1qyZXcSSWbNmkZuby/Lly62RWizGrDNnzrBjxw4bYxZAQYE5xJwlBL6lzyyTBMviyJEjeHt7240f/vXXX5w9e9bOI+lGCQ0N5ZFHHmHGjBn8+OOPALRr144TJ07YeG2VpnTIwaKiItRqtcM++/77721C6e3fv5+nnnqKv//+22bs9KuvvuKpp55i/fr1lTJm5eXlce7cOR5//LpXSE5ODv369UOlUvHTTz/ZGVjuvvtuAOLj4639npmZSXp6ul0+sopCKVpo0aIFLVq0IDY2lsces/eIB/j333/53//+x4PDBmM0mEi4cJGMzAxcPZW4eqko0BazdOG7FOmK0Lgr0bgp7PZpiThjNJq4q30M89+YS0FeDiqNGyDw1z87iGgUiZenOZSlrJQxIyYmhjfeeIPU1FT8/f0pLCxky5YteHh42FyXFowGvY0xC6AwV4ubtzcy+a3N13Sj3MlnqLJBOIiibejravS6L0ubIBPx6BGKSys/sn44i+5sNjm/X6TgSBreQyNRhd/aiSytevcnPzuLXd9+yfbVH+Hi4UXTmHsAMGRWHG6wpr331AiDlr+/P/7+/hWuFxMTQ3Z2NgcPHrQmZdy+fTsmk8nGRboiLFZui8vwnaa8h2O5pJ8h/7sx/OmiZnNIE/5N+JIoGvIWL+ApmF8APQUvHr/Qgx79h9gYswBMRhOSA/+8B19qR3BjL7tyN291lT6sblhXLaDGafOLgA5jYd9HsGUWjP8LxBu4wRTnI+Qkmf/2LfulqDZS4/qsmnDqqn3UVW11VZeT6qcunyt1VVtd1QV3TtvQyKF0Celik2fqSOoRXt/zOvFZ8SzYs4CNZzcys/NMWvi2sNu+fjMfBkyM5pf/xaI1tMLfPZe0vL3EHjL/Aziy/jN6PvYk9ZMzyP7mG/RXriD4NUHd6lHkHvVRtx6JSpJsBmIUwSKaKDmmvFYYUvzRJ6dQdOokRbFxSEXZGIuyAXOqrjfXSKT1bEH/mN5l6jRqtSS/NpfczZsBcOnQgZC3F6EICTHvLyjIxjAkKJX4PPE4noMfIP3Dj8hau5b8Xbu5MNgcrkkJXHhzYbneUXHbt7B15Xs23r/1mkXx4PTXULnY5+ay5BGTB/iT8emnaL83h6VXt2hByJLFqEoMkpdu740iSRLHd17h72/sQ+tKJtCmFtYJgxY47x//3xg5ciTJycls3boVvV7PmDFjGD9+fLk5hAoKCujfvz/9+/dnxowZdstPnTqFyWTio48+IiIigmPHjjFu3Djy8/NZsmSJzbp//PEHLVpcv2eWNlrcKUrej9x9/W6LIctCYmIiU6dO5ZlnnuHQoUO89957LF26FDB7Hw0ePJhx48bx0Ucf4e7uziuvvEK9evUYPHgwAC+88AL33XcfTZo0ISsrix07dtC8eXOrrqqEHJwyZQrdunVj6dKl3H///axfv54DBw6wcuVK6zozZszgypUrfP755wCcPn2affv20alTJ7Kysli2bBnHjh1jzZo1gDmMecuWLW32YzGIWsr1ej3Dhw/n0KFD/PzzzxiNRmvaEh8fH5RKJTExMXh7ezN69GhrWMG1a9dy4cIFq9Fm06ZNXL16lc6dO6NWq9m6dStvvvmm1WBUkk8//ZROnTrZte1mmDJlCi1btuTAgQN06NCB6dOn07lzZyZPnszTTz+Nq6srJ06cYOvWrbz/vtkTo3TIwYKCAlxcXBz2WekJ/+np6YDZE8xyTNetW8fo0aNZvnw5nTp1sh5HjUaDp6d5wshLL73EoEGDCA8PJykpiddeew2ZTMaIESMAszGrb9++FBQUsHbtWnJycqzh8P39/ZHJZDRp0oTBgwczZcoUVq5ciYeHBzNmzKBZs2b06NHDru2VDT62fft29Hq9jdG8JJGRkXzxxRd06NCBnJwcpk2bZjWUuXqqULnIUajCKC4yACBXyHD3VSPKBIwGEzK5iMloIifdHCZ6UP9hLHz7DabOmMHUF6dz+tw5Pl79IfNnvwmAu6+anzb9yIwZMzh16hQAffv2JSoqiscff5xFixZx8eJFZs+ezaRJkxw6XugdhSOUwKjX11iDFty5Z6giKIjg+fNInvOajdd9deZELU+b3FeD39iWFBxJQ/vzOQxXC0hbcRTXTkF49m+IqLl1pprOwx4lPzuLo1t/5bf3l6Bx9yCsZSsMWeZQmPIK3j1r0ntPjTBoVZbmzZvTv39/xo0bx4cffoher2fy5Mk8+uijhFz7KLpy5Qq9evXi888/p2PHjpw7d45169YxYMAAfH19iY2N5cUXX+Tee+91GC+1JpOSn0JiTiL+Lv7Epxzk97/n83egOzpRBEMmLkUywpIUSCU+TAVB4NGiYRiy1FDq2sxOdZzE0GS441EondwI3abD0fWQEgexX0MbxzNOykOVf82YpfYCl/JDsThx4sSJEydOnDi5cUrnmWoT0Ib1A9ez/tR63j/yPnHpcYz4eQQPN32YR5o+QlZRFmEeYdZtwqJ8ue+ZaH77MI5c7sZLkU22/rq3jyRJbFu7CreiYoweMvQ+DTGIRoSMdTQzdCLa+16bAS1JMlFwl5qAmA425fqUFM727GUzk1UCfPLBZ1McFzYNRtWkCR4DB+IxYADK+vXQp6SQs/l3Mj79FGNaGsjl+D//PL5jn0KoxKxOmacngdNfxvuxEaS88Sb510IBAWAylZnrIDcj3c6YBdB3whSHxqzs7767PqBhQRDwHTcO/8mTEKqYdL4yFOQUs/2Lk1yMy3C4XBDBM+DW51Rw4qS6OXnyJJs3b2b//v106NABgPfee48BAwawZMkS65hNaSzeOn+WvM5LYDF2WWjUqBHx8fGsWLHCzqDl6+tbpeg9/x944oknKCwspGPHjshkMqZMmcL48eOty1evXs2UKVMYOHAgxcXF3Hvvvfz6668lvEyMTJo0icuXL+Ph4UH//v1vKIQeQJcuXVi3bh2zZs3i1VdfJTIyko0bN9oYfZKTk0lMTLT+NhqNLF26lPj4eBQKBT169GDXrl00aNCg0vu9cuUKP/30E2AOq1eSHTt20L17d/z8/Ni8eTMzZ86kV69e6PV6WrRowY8//kjr1q0Bs+fNBx98wIsvvmg15i1btswu/J1Wq+X7779n+fLlDtvz2WefMWbMmEobYSxERUXRt29f5syZw6+//kqrVq3466+/mDlzJl27dkWSJBo3bswjjzxSpXqrwsqVKzEYDEyaNIlJkyZZy0ePHs1nn30GwOXLlxkxYgQZGRn4+/tzzz33sGfPHqsjw6FDh6yeg6W9yy5cuGDt288//5wXX3yR+++/H1EU6datG5s3b7aem2Ae81y1ahUPP/xwpdrv6mr/LlCSTz/9lPHjx9OuXTtCQ0PtDJZyhQzPAA1F+XrysnQY9EayUvLLrM/Hz4fv13/NS6+8TI++PfDz82P27Nk8/+IkZHIRmVxEq9XapNaRyWT8/PPPTJw4kS5duuDi4sLo0aOZP3++Xf0mk4n8rEz7HQsgU9RcY9adxmv4cFzvuadave6rgiAIuLYNQN3EG+2vFyg4eJX8vSkUnsjAa1BjNNF+tyT0tCAI9HzqGQpysjmzdxc/LlnAI3MXIc8y54qV1aLJVLXKoAXw5ZdfMnnyZHr16mV1YX/33Xety/V6PfHx8VZ3YaVSyR9//MF///tf8vPzCQ0NZdiwYcyaNetOSbghvo3/lgV7FiBR4oGnAEESaZ9Tn9YpQZjOpROg8kEItj3pRUFEkaSH5rZ1egVoEARsvLScH1C1GFdfuPc/sHUObFsAUUNA6VKlKlT5l81/1DHvLCdOnDhx4sSJk9qAXJQzKmoU/Rr0Y8mBJfz6f+zdd3hUVf7H8feU9J6QkASSEHqVpiBYCEWa0m27LEURFpZm2bUroKuoCFhWf6BiwLKCBVERC9J0BQFRpCM9kEIgpJI2yZzfHzEjQxJIwoSZOXxfz8OjuXPnzvnMvZP5Zs6cc46sYtn+ZSzbvwwAI0ZmdJ/B8GbDgbIpwftPaMvXC3dx1qsdWOynr8NgIM/H/tu8ygBZ6nSFP5QNBiM/LHybtcveoFmX7jTr2p3IJs3xiIwkZfIQghZ+TqGHB94WC2sGRjD++ns5u+ob8n74gaLff+fUvHmcmjcPj9hYLOd8GGkKDSVm4UJ82lX8lnpeZiFZ6QUEVzKlOYBnTAxhY8dydv16Cr2CKfAJx6fgFN5FWaQ+9RSRjz6GZ8M/px/MTE2p9APCs2cyCI2yn6bQkpZG6hNPcv6UFdHz5xF0zofnjnR0x2nWvruXglwLJrORbsOaYPY0suGD/Shr2d9iCSNbajM6S1xZNm3aRHBwsK0zC6BPnz4YjUY2b97MsGHDHPZY5eusnm/w4MEUFhbSvHlzHnzwQQYPHlzlMSpbNx3KOlDK1489f13a8n/lt1X2++b87VX9f21U9zHPZTabeemll3j99dcr3T84ONg22unc7eX/feWVVy54/JpmuvXWW7n1nBG25x87MfHP9R2VUrRs2ZJffvmlwv7nP+65xyk/RvmXvePi4iqMLKgsa+fOnfnmm2+wWq12U9iV396vXz/69et30echKCiIs2fPVthefqzDhw/To0ePC15LR44cqXT7V199Zbf96quv5ptvvqkyU2XPWXXPWY8ePeyeN6UU69ats9unssf84IMPKm17+fk4/7hVHScgIIBFixbx1ltvVXqcw4cPYzabbdNlVpZtxowZzJgxo8rXTXnnbPntHTp0YOvWrXb7jxgxosLxvf088PQ2k3emkKKCkgrH9vI14xvohdnTyDWBXfhs6QeYzGbqxTaqkHXMmDGMGTPG7vixsbF8+eWXQNko1vOvxXLZ6WlYiorsbzNAYL0IjCZzhWtMKWX3O85Z63GXH/fc2y73GuPG8HB8IiIcvsZ4+W2lpaUXzYS3kaDhTfDuUI/szw5RerqQM//dh1eLEAIHxdtGTDnyPCkF/SbdR35ODsl7d7F89gwGt51eliPIw3a/89tevr38OnLUeTq/ndXldh1aoaGhFxyu3qhRI7snKSYmhg0bNlyOptWK0WikdevWVa4hklucy5LdS1i4YyG+BSYC883k+JZgUIphh33wz4qjMOcsVk4B4N0gBFVqxXDOfPtWZSWoScXpFf1DvEn4W0vWv7/P4X9AXSyXO3PpbF3+Dlvfgqwk2PQa9PhXte9qNBqJ9Ssu+0GzDi2XPmeXQHK5H12z6ZpLOJ7O14qu2XTNBa6dLdw3nOdvfJ6EmAQe/P5B23YrVmZsnMGp/FMMbTqU+n71iW8fTt972vD1whwsGODcL8Ap6DlgCFHX34i3vz/eAYF4+fqSm5ROzv/9XuFvhnyVy9m0LLZ+/glbP/+EgLB6+LVuxOrkH2jbKg4DBhSKLf6ZjOnZhZhbBlOalUXO6tXkfLmK/J9+suvMAijNysIcXnF6rT0/prD+vX0oVbaGb8LfWtL6umisVoWlsITiwlKKC0soMIXze9MRnGiQUPYHi7LS/MAyGq5dx6EN3xM0aBBhE8bj1bgxSbu2V3gcg9FIcOSfI0Ms6enkrFpF5gdLK3RmAZhDHD9LgaW4lI0fH2TX98kAhEb70XdcG8IalK0rFNsmlFPJ2YQ3CCIgVJ8vF7rya+xS6ZytttLS0mxTm5Uzm82EhobapiVzhIMHD/Lqq6/ajc7y9/dn7ty5XHfddRiNRj755BOGDh3KihUrquzUmj17NrNmzaqwfceOHbY1v8LCwmjUqBGpqalYLBYKCgqwWq14eHjg6elJUVGR3Ydxnp6eeHh4UFhYaPehXvlaXwUFBXafV5V/SF3+hexyvr6+tnWByhkMBnx9fSktLbXriDMajfj4+FBSUkJxcbFte/kaJ1ar1e74ZrMZLy8viouLKSn584P4mmby8vLCx8eHwsLCy5rJ29sbi8WCxWKpk0xms5nCwrLpt8rb6uhMq1atYu7cueTn51+2TOdee+d21rnzefrss8+46667bGtsWa1WjEbj5c3kY6SoksmvPHyMeHiZKCwspFSVPV5pSQlFBfl4+/pV6zxB2ZSa3t7edm0vz5RzOp2is2fBYMAnJAyj2Yyn2QRGE5aSErt14cozWSwW29SGgYGBNGvWjLS0NFJTU23HLv+9l5SUREbGn6PJo6KiiI6O5vDhw7YvAADExcVRr1499u3bZ3vtQNnou6CgIHbs2GGXtXXr1rZRdueuf9ehQweKi4vZs2eP3fno2LEjOTk5HDx40O55adOmDWfOnOHYsWO27c7M5OnpaVviqDxbjTL19aHhyQhy1yVRtD+T9IOZ5LX1wNwplGYtmjs8U3zfQWSdPsXZUyc5e/w0PkY/Dp9OwrI9ucpM5QoLCx12ng4cqDj9dnUY1KV+ReQKkZOTQ1BQENnZ2XaLWl6q8t7L8l7ecsdzjvP+vvf59MCn5Jfk0+y4P912hmL8449IAANl+3sHBNKmR2/a9epLWIMY9r+zBp/dZowGI1ZlpaBNCS1G966yDXmZhWSnFxBUxTcjHZlLBy6fbefH8Mk48PCDab9CQP1q3U0phfp0EsYdH0DPx6DHgxe/k5tw+XNWS5LL/eiara5y1dV7r6ieunj+dX0NgL7ZdM0F7pFtS+oWxn1b9YLy7eq1o3dsb3rH9iZrQz4blq+mpOA7yjq1DJh9ejH6kVsJaRFT4b6V/c0Qf3t3Dm7bzM8/fEX6rr0YLJXPlW9F0W3W/Vzf0v5vjOyvviblvvsq7B+7ZAl+XbvYfs7LLOSdRzdW6E8ymQ2UVmv6c4W3ysfvzFF889PwzU8lq5GRY/nnf2huoG3vUfT560ByV39Hzhefc/anzfZTDJ7LaKTp2jUOmXqmfPRZqcXKjx8fIDOt7IOl9r1juHZoY8wef0696A7XYm3omgvqJpur1j0PP/wwzz///AX32bt3L8uXL2fJkiV2U2dB2Ro+s2bNYtKkSRc8xvr16+nZsyeZmZlVrm+TnJxMjx49SEhIqDBq43yjR4/myJEj/PDDD5XeXtkIrZiYGM6cOWN7/su/0Z6fn8/Ro0eJj4/H29vbdltNR0tdqpo+Zs+ePWnfvj0vvfTSJR3HlTJdru3nLuVRU85u+4W21zaXK7T9Qttrk8sRbbGWWslIrjjlYFgDP0xmk23/rLRUivLP4h8ahn9I6CW/zvKzM8n9oxMjqH4k3n7+F217QUEBR44cIS4uzvZ7zJkjtEpKSuzeQy/3CC1HZypv+7n1wblfLKhupqK0PLJXHKL4aFlnlDnaj9DhzTBH+zk8U15mBh/NfJR+fqMxGAyE3NsG7/CgCpngz7rHbDZjMBgcdp7KR1zXtPZxuxFauknNTWXtr2vp1bEXUQFRbDu5jXf3vMu64+tsHVctzHFcu1PZOrDK/1uvSRO63jycpl26Yz5nbtQWo3uTfTSVnEOpBDWJIrZRxdFZ5/IP8Xb4tBZWq5Xt27fToUMH2wtYFy6fre0I+On/IPlnWP8sDKp83ubzWa1WCo7vwB8grMnFdncrLn/OaklyuR9ds+maSziezteKrtl0zQXukS02MNbW4VTOgIFWoa3Yc2YPO0/vZOfpnbz0y0tcXdKDq72HY/JshLU0C6MpGIMxgHz8Cank2C1G9+bw3p2k7DtEWLMYUgKzeOfnf7PhxAayo7IxRRiIPu1N62NBRJ22n7bQiIGAsxWfM9+OHcBotO8wMhrxjIu12y8jOa+ywVF2nVlGkwFPbzNGE+TnWM7b00ChwY/CsDacDm2FJf9brPll3xQ1e9+Ayaul7Tk4uM2P+m/ejFduuu3ePh06EDh4EMpSQvrzzzt8UfBzR5+V8w3ypM+Y1sS0rjgCzB2uxdrQNRfone18DzzwAGPHjr3gPo0bNyYyMpL09HS77SUlJZw5c8Yh61qlpKTQs2dPunfvzhtvvHHR/bt27crq1aurvN3LywsvL68K200mU4VzWv4hZvm/clV9gG6/PqEiPz8fX19fh3R+Vucxy1W1LllNj1PZdkfmutS2OHo7lI1iupRsrpapvKPjUnK5YibgknJdaltMZhMBYd7kZvw5iicgzBuT2WS3v5efH0X5Z8s6tUJCL+l1VpCba+vMCgirh49/QLXbbjAYKvyOq2qkcVXbq3rPq8l2q9VqG8F0/u2V7V/e7uq20RmZyreXlpbaspWfi5pk8or0J3zCVeT/fJKsVUcoSTlL+mvb8e8eTWDfRhi9Kr4/1bbtQfUiGPqPxyl85zglVgtfvTWfYQ8/icnsUWH/c3Od21lXnUwXOh+1raGkQ8uJlh9YzqyNs7Bi5YWjLxDpF0nq2T+HD17f4HpGtR5FgzN+fPz5YxXu32vkOGLaXFXpsYMaRRF0kY4soSmDAfo9A2/3g21LoMHV0KQXBDW46F1lDS0hhBBCCNcR6RfJjG4zmLVpFlZlxWgwMqNb2Rpap/JPse74OtYkrWFL6hb2lm6nE0MxGgMwGf/8cOP1pf8lpeOv+Ph64u/hj5+nH35mP47lHmPD8Q1lX6LbZv+4wV7B9GjYg159etHOqznvTJ903sK7Bho3qrgmlkdkJFFPzSL1yRlVdhJlpp3lfx8frHBfgwGGPtCJkEhfPL3MmDzK/vitbDSXwQD9xrchLzOfnz//P4qy9gAGzL43YfYqa9e5z8H25nfToOQIjbrGEntrH7xi/+xgM17bk4y9xwlrFUNwJSPZair3TAHr3ttnN/MjwOCpHQhr6H/JxxficgsPDyc8PPyi+3Xr1o2srCy2bdtG586dAVi7di1Wq5WuXbteUhuSk5Pp2bMnnTt3JjExsVpTPW7fvp2oKPlMRAhRt3z8PfH0NlNaYsVkNmIyV/z95OVbtr69pbCQ0pISTObafRxfVJBPzqmTAPgFBeMXXNlXloS7MxgN+HWJxLtVKFkrD1Pw2ynyfkyhYFcGwUOa4NM6zGGP5e8RRCHHyS/N4djOX/n69ZcYOOUBDC4+pbJ0aDlJ2tk0W2cWgEKRejYVL6MXg5sO5m+t/kbj4MYA5HLkj4kGz/km0HlzwQthJ/ZaiGoPqb/B51PK1hsY9DJ0Gl31fQqy8CjOLvv/0MaXp51CCCGEEOKChjcbTvfo7hzPPU5MQAyRfmWdQ+G+4dze4nZub3E72UXZJO5K5PusZdx4+A6MGP/468FAdGorAjMi2dB4GcdDKp96q9ywpsMY1GQQHSM6Yjb++adi3wlTWf3mf1B/jLzyDwmzTW9zvuBbb8Xv+uspPpaEZ1ysXWfW71vSWP/+fixFpXh4mSgpLi1bQ+uPtXyjm1acZqyqdX8bNPdjxZy5ZKXtwezhyc33PoTn/pN88f0fO53jbEAMvxPD77+D73+SiGmdR2zrUApyi/nx44NlbfjmAAl/M9H6utr9jaWsiiO/neanzw5V6MwCKDx7/igzIfTSqlUr+vfvz/jx41mwYAEWi4UpU6Zw5513Eh1d9rpKTk6md+/evPPOO3TpUjYNaVpaGmlpabZ1N3bu3ElAQACxsbGEhoaSnJxMQkICcXFxvPjii5w6dcr2mOUjv5YsWYKnpycdO3YEYPny5bz99tsXnZZQCCEcoaqOrD9v98DDywtLURHFBfn4BNR8WllLURFZaakopfD298c/rOL6pEIvpgBPwv7SksJOEWR+dojSM4VkvLMHn7ZhBA9ugimw4ijjmirNLJt61z82HGOqiX0/bsAvOJgeo+5x6emipUPLSZJykmydWeea02MOPWN7/rnBWkrAuoe4KeoAq1Oblf1ZajRy0/gpBMgvL1GV7GRI+3NxRZQVvpgOcddVPZ3gmUNlu/pHYvAKqHwfIYQQQghx2UX6Rdo6sioT5BXEnS3vJHF3P44H7yWoMJxs71MEF9ZnWPIk/LNDuHnfRDxa5VN6bQqHCn/nm6PfVDjOoCaDuCbymgrb2/XqS6P2nUjev5c1b/8feWdO882Cl7l5+oOV/rHrERlp15FVUlzKDx8eYM//UgBo0DyYm+5ug1KqWmv5tr4umgYtgtm2aSedu7XDZCxg2ayHOZ10FC9fP4Y++AQNW7XF0jCNloseY1+zO8FgAlVK4yNfEjVlAsnHLZz4PYv8nGL2/5TG/p/s19tSCta/t4/Y1qE1mo69tMTK/s1pbF+dZFsn63wGIwRFv4I+dQAAIABJREFU+FT7mEK4q/fff58pU6bQu3dvjEYjI0aM4JVXXrHdbrFY2L9/P/n5f75WFixYwKxZs2w/33jjjQAkJiYyduxYVq9ezcGDBzl48CANGza0e7xz1+R4+umnOXbsGGazmZYtW7Js2TJuvfXWuooqhBA14uXrh6WoiKKzZ2vcoVVaUkJWWgrKasXTx4eg8Pou3dkgHMu7RSj17w0iZ00SeT+coGBXBoUHsgjq3wi/rlEYjLW/Fkoyy6bLDIirT/9O97LqP3PZ9uVn+AWHcs3gEY6K4HAGVVcrO2rG0Qu0pp1No98n/ezmwzcajHwz4hv7P1a/fQI2vgJmb3KHfUAW9QiOjHb5zixZANjJjnwPSwZV3O4ZANeMg2vugWD7KVXUb0sxfPp3VNx1GO5adZkaenm4xTmrBcnlfnTNVle5XHVx9CtFXTz/ur4GQN9suuYCPbMtP7C8wvSEg2KHsPnzw/y29jgo8An0pP3wCO7+/TZ8CgNsnV8F3rkV/xapxIm9u/jo6cewlpZy/V/G0HXobRfcPzPtLN+8uZuM5DwwwNUDG3HNzfEYa/jHd87pU5xJOYHJ7MHXr88n59RJ/IJDGPHoU4THxdv2y/r4Y478ez4F3mH4FGYQ//h9BP/xoXapxUrqoSyS9pzh0C/p5JwurPA4EY0CaHZ1fRq2DCWsgZ/dtZGXWUhWegHBET54+pjZ/UMKv605ztmssm+3evqYadejAd7+HmxcftBuRNmFRn7peC2CvrmgbrJJ3eNcF3r+CwsLOXLkCPHx8Xh712z98XM/ctPpdaBrLtA3m+RyruLCQs4kH8dgNBLRKB6D4eJTupW915SSmZJMSXExZk9PQqMbYqzFukOX8nvM0aQ+qL3ilDwyPz2I5XguAJ6xAYQMb4ZHpF+tjpexdB8F208RNDCegBsb8vPKT9nw7iIA+v/jPtr06A243mc+MkLLSaqaD9/uD8jt/y3rzAIY8hoBbXrhTuNmiouLnf5Lsq64fLbQJmV/PavzRgEW58KPL5VdVy0GQte/Q6MbyhYiSPm1bJ8APecZd/lzVkuSy/3omk3XXMLxdL5WdM2may7QL9vwZsPpFtWNQxmHaBLWhCj/srru+tua0bRzBGvf2UtmWj4/LT7BP+rPofikESNGrFgJ6Vt40c4sgIat2tLrrr/z3Vuv87+l7xAe14jGHe1HdZV3/JxJyWPTisOUFJXiE+DBTXe3IaZVaI1z7Vz7LavfeNXuQ6vgyChufexpgiLs2xx86620rWLKQ5OHkYYtQ2nYMpSrejassDYXQPrRXNKPln1I4BPgQcOWocS0CqEgz8JPnx6y7W/2NFJSXFZr+wV50r53LG1uiMbTp+xP7KadI6o1+qycbtdiOV1zgd7ZhGMppbT70Bb0zQX6ZpNczuPh5YXRZMJaWkp+djbe/v6YzB4XvE9piYWstDRKiosxms2EREbXqjPLFen8HlqX2Tyj/YmY1J6zP6WS/c1RipNyOfnKrwTc2IDA3rEYPGp2fZSeKftylymkbPrCq28ZxtmsTH7+YjnfLHgZn8BAW53vSufMtVf40tzwZsP5auhXPNToIb4a+hXDmw3/88akzWVTxAHc+C9o515D5a1WK3v27MFqrTitortzi2xBDcrWzDL88YvMYCr7+c7/QnyPso6ufSvLRnH9X3dYPgE2Lyjbd9cn8Ms7zmt7HXCLc1YLksv96JpN11zC8XS+VnTNpmsu0DdbhE8EPqd9iPCJsNse2TiI2x+7hk7948AAJSfNGP/4c9CIkZzvfMnLrDhiqTLtbxrIVb37g1KseuVFzqQk227b82MK7zy6kc/m/8oPyw5QUlRKg+bB3PF4l1p1ZuVmnK7QmQVwy70PV+jMKucRGYlf1y52nVnnK1+bq/wL0gYjXHNLPNfd2pTYNmGYPY0U5Fo4sPUka9/Zx6blh+w6v0qKrQTW86bnqJaM+nd3OvaNtXVmlR+/QYuQanVm6Xot6poL9M4mHK+goMDZTagTuuYCfbNJLucxGAyYPMo6sHIzTnPq2FFyTqdTeDaPwrxcCvJyKcjNoSA3h/ycbLLT0ziddIyS4rJR4L4Bgbb7uzud30MvRzaD0YB/92jq398Z7zZhYFXkrj9B2vxfKDyQWaNjlU85aD6nXr3xr2NpfUNPlNXKF/OfI/XAfpc7Z9Kh5WT1/erTyr8V9f3q/7kx6zgsGwmlxdDyFkh41HkNFO6r02i4dyeMWVn2385joeXNMOZz+MdmuHocePhB+h7YsYzy77IYUPDFvWXrcAkhhBBCCG2YPUx0G9qEhL+0qHCbssIPy34naU8GJZbSix6r191/J7pFa4ryz/LZnKfJy8zh0C8nWffuPvtRTwboNaYVfkG1W7j69ImkCp1ZAMX5Z2t1vHO1vi6a0c90Z+h9HRn9THe63BJPhz6xDJrannvm3ciwBzpy9cBGhET6Vnr/hL+VTSVo8pA/q4UQ4mJ2797NiBEjaNSoEQaDgZdeeqla99uxYwc33HAD3t7exMTE8MILL9T4sRMSEjAYDBgMBry9vWnevDmzZ8+u9P3FUY4ePcq4ceOIj4/Hx8eHJk2aMGPGDIqLi237rF+/niFDhhAVFYWfnx8dOnTg/ffftzuOxWLhqaeeokmTJnh7e9O+fXu+/vpru33Kn9Pz/02ePNm2T1paGvfcc4/tsTp16sQnn3xSo0zr16/HYDAQEhJCYaH9l2C2bt1qe9y6dObMGUaOHElgYCDBwcGMGzeOvLy8C96nsLCQyZMnExYWhr+/PyNGjODkyZN12s7zlZZYsJz3nOVnZ5OVlkrWyTSyT6aRnX6S7PST5JxKpyA3127fvKwzlJZYLmeThYszB3lRb1Rrwka1xhToSemZQk4v2sWZpfsozSu+6P2VpRRrbtk1ZTqnQ8tgNNJ34nQadehMSVERy5+fxfHdO8k8doTcjNN1lqcmpPJ2NUV58MFf4OwpqN8Ohi0Eo5wmUUtBDSD+hrL/niuiJdwyD+7fA1ffU/F+qhTOHL48bRRCCCGEEJdVXLswKvu86fD203zxym8seuAHvnx9B7u+Tyb3j6lI8jILObE/k7zMQizFpaQfy6dJl9F4eAVxJuUEb059nK8W7qp4UAW5laxVVR0ZycfZ8M6iCtsNRiPBkVWvSVUTVY2kMpmNRDcLoevgxgye3qHC82UwQkj9yju6hBBCVJSfn0/jxo157rnniLzACNpz5eTk0LdvX+Li4ti2bRtz5sxh5syZvPHGGzV+/PHjx5Oamsr+/ft55JFHePLJJ1mwYEGNj1Nd+/btw2q1snDhQnbv3s38+fNZsGABjz7655fWN27cyFVXXcUnn3zCjh07uOuuuxg9ejQrV6607fP444+zcOFCXn31Vfbs2cPEiRMZNmwYv/76q22frVu3kpqaavu3evVqAG677c91LseMGcOBAwf47LPP2LlzJ8OHD+f222+3O051BQQE8Omnn9ptW7RoEbGxsTU+Vk2NHDmS3bt3s3r1alauXMkPP/zA1KlTL3if++67jy+++IKPPvqIDRs2kJKSwvDhwy94H0crsVTeGWX29MTT2wdPHx88fXzx8vXFo7Jp3RSUVnEMcWXzaRNG/Qc64989GgyQv/0UJ+dt4+zWtAt22pdklo3+M3iZMPrar0plMpsZdN/DRDZtTmFuDp888zi/LVvM29PuYefab+s0T3VIT4kLMJZ3WFmtsGIinNwJfuHwlw/Ay9+5jbsERo074rTJ5hMMN9wP5y9GaTBBaGPntKmOaHPOziO53I+u2XTNJRxP52tF12y65gJ9s10sV4Xp9gzQtkcDWl8XhV+QJyXFVo7uOM2G/+7nnUc3svjhH1nySNk0gkse2cgb0zawfM42tq5Mx+B5M2DCajmMQW2u8FgGIwRF+NSo/Uopdnz3Ne89fC8ZJ45h9vK2fePbYDRy0/gpBITVq9ExL0Vl0xMmjGxZrekEq+tKvRbdmc7ZhGOdO2KlJLuIwkNZlGQX1fnjJiQkMGXKFKZMmUJQUBD16tXjiSeesPuAMzMzk9GjRxMSEoKvry8DBgzgwIEDttuPHTvGoEGDCAkJwc/PjzZt2rBq1aoKuarjmmuuYc6cOdx55514eVVv1O77779PcXExb7/9Nm3atOHOO+9k2rRpzJs3r0aPDeDr60tkZCRxcXHcddddXHXVVbaOn3K7du1i4MCB1K9fn8jISEaNGsXp07UbkdC/f38SExPp27cvjRs3ZvDgwfzzn/9k+fLltn0effRRnn76abp3706TJk2YPn06/fv3t9vn3Xff5dFHH2XgwIE0btyYSZMmMXDgQObOnWvbJzw8nMjISNu/lStX0qRJE3r06GHbZ+PGjUycOJEuXbrQuHFjHn/8cYKDg9m2bVuNs40ZM4a3337b9nNBQQFLly5lzJgxdvtlZGTwl7/8hQYNGuDr60u7du344IMPavx45fbu3cvXX3/NW2+9RdeuXbn++ut55ZVX+Pjjj0lJSan0PtnZ2SxatIh58+bRq1cvOnfuTGJiIhs3buSnn36qdVtqylzZdIEGCImKJrRBQ0KjGxIa3YCQqAYE16+kw9eANlMOgt7voc7IZvQyEzy4CRH/6IBHlB/W/BIyPznAqTd2YjmVX+l9Sm3TDXpV+vvc09uHm8ZPsdumlGL1m/9x+kgt88V3EXXJZDLRsWPHsh/WPgN7vwCTJ9zxPgTHOLdxl8Aul2a0y1a+3tYX95aNzDKYYNBLFUd1uTHtztkfJJf70TWbrrmE4+l8reiaTddcoG+26uZqfV00sa1DyU4vICjCx9Y5o5Ti9Ik8ju3M4NiuDNIOZ3M2q+IHr97+HkTGBxIeF09Bth8/f/4mhdkb6TiwHfs2+6Gstev4KcjN4duFr3Jw6yYAYtu2Z8Dk+1FKkZWWQnBk9GXtzCpX1fPlCFf6teiOdM4mqkcphbJUby0Rb7MXymIlb9tJsj8/BAowQNDgJvh1rn/R+5/L4GGsUUfSkiVLGDduHFu2bOHnn39mwoQJxMbGMn78eADGjh3LgQMH+PzzzwkMDOShhx5i4MCB7NmzBw8PDyZPnkxxcTHff/89fn5+7NmzB39/fwwGA76+vvj7X/hL2H/7298uaRTUpk2buPHGG/H09LRt69evH88//zyZmZmEhITU+JhKKf73v/+xb98+mjVrZtuelZVFr169uOeee5g/fz4FBQU89NBD3H777axduxaAZ599lmefffaCx9+zZ0+VI5Wys7MJDb3wepLZ2dm0atXK9nNRURHe543Y8fHx4X//+1+l9y8uLua9997j/vvvt7tWunfvzooVKxg+fDjBwcF8+OGHFBYWkpCQcMH2VGbUqFHMmTOHpKQkYmNj+eSTT2jUqBGdOnWy26+wsJDOnTvz0EMPERgYyJdffsmoUaNo0qQJXbp0AWr2nG7atIng4GCuvvpq22033XQTRqORLVu2MGzYsAr33bZtGxaLhT59+ti2tWzZ0na8a6+9tsb5a8Nk9iAwPIKc0+m23wGB9SIwmSt2UtVkX3ek83uos7N5xgQQMaUjeT8mk7P6GMVHsjn50i8E9owhICEGg/nPzrby9bNMF6hpCyuZzlNZrWSlpTilHi8nHVpOppQiJyeHwKTvMHz/xzzAg16G2K7ObdglsuUKDKzz+XMvNy2zdRqNatKLs8d34RfTFkNQQ2e3yKG0PGdILnekazZdcwnH0/la0TWbrrlA32w1yeUf4l2hY8ZgMBAeE0B4TABXD2zE4e2n+GrBzgr37Te+DQ1blH8oF48qTWfbl5+xa80Sbpr4LwqyS4hu0YjIxtWfGvDYzu18/do88jLPYDSZuf4vo7n65qEYjEaUUljNHvgHBlb7eI5W2fPlCHItuh+ds4nqURYrKU9uvIQDQPZnh8j+7FCN7hb9VHcMnqZq7x8TE8P8+fMxGAy0aNGCnTt3Mn/+fMaPH2/ryPrxxx/p3r07UDYiKiYmhhUrVnDbbbeRlJTEiBEjaNeuHQCNG5fN5KKUorS0lF9//fWCr4HAS/ydnZaWRnx8vN22+vXr226rSYfW66+/zltvvUVxcTEWiwVvb2+mTZtmu/0///kPHTt25JlnnqG0tBSTycTbb79NTEwMv//+O82bN2fixIncfvvtF3yc6OjK3/cOHjzIq6++yosvvljlfT/88EO2bt3KwoULbdv69evHvHnzuPHGG2nSpAlr1qxh+fLllJZWvt7lihUryMrKYuzYsXbbly1bxh133EFYWBhmsxlfX18+/fRTmjZtesE8lYmIiGDAgAEsXryYJ598krfffpu77767wn4NGjTgn//8p+3nqVOn8s033/Dhhx/aOrRq8pympaURERFhd5vJZCI0NJTU1NRK75uWloanpyfBwcF22+vXr09aWtrFwzqQb2AQXr6+lFosmDw8LthB5RsYhJePL8XFRXh6emk1Okvn91BXyGYwGQi4sSE+beuR9dlBCvdnkvNdEvm/nSJkWDO8GgcBUHKm7Atr5tCqa9uQqGgMBoPdyF5HTv1dW/qO73MT1qzjZH03D1ZMKtvQfRp0+KtzG+UAVquVgwcPYrVW7xtL7kTXbFb/KPYXhWP1j3J2UxxO23MmudyOrtl0zSUcT+drRddsuuYCfbM5OldEXECl60cFR9ivH3XjyLuJbdcBS1Ehq15+mnWLZ/PfRyeyY803VR47N+M0Sbt2kHUyle/fT+TjZ54gL/MMIVEN+Ou/X+SaQcMx/DFti67nC/TNpmsu0Dub0Mu1115r96Fqt27dOHDgAKWlpezduxez2UzXrn9+oTosLIwWLVqwd+9eAKZNm8a///1vrrvuOmbMmMGOHTts+xYVFdG0adML/ju/88GZRo4cyfbt2/nxxx8ZMGAAjz32mK0jD+C3335j3bp1BAQEEBwcTEBAAC1btgTg0KGyjsfQ0NCLZjabK44dSE5Opn///tx222220XHnW7duHXfddRdvvvkmbdq0sW1/+eWXadasGS1btsTT05MpU6Zw1113VTmt2aJFixgwYECFjrUnnniCzMxMVq9ezc8//8z999/P7bffzs6dFb+0Uh133303ixcv5vDhw2zatImRI0dW2Ke0tJSnn36adu3aERoair+/P9988w1JSUm2fWr7nJ7rQusEuRqT2QNPH99qjbYyms1YMWC8SH53o/N7qCtlM4d6Eza2DaF/aYnR34OSUwWcemMHZz7+HWu+hZL0swAYvKu+vgLC6nHThKm2etwZU39XRq9XhLv55R2MX0wnTv1xkUe0gT4zndkiIYQQQgghhLApXz9q/fv7LjiNoNFkImHUON558M+F2ZVSrH7jVX5Z9TlhDWMIjowq+1c/irRDv/PD+4srfAjVrnc/eo4eX/mC6EII4SIMHkain+p+0f2UUhTk5+NpMZE+/5ey6cNsB4H693fGFFS99aTKH/dyuueee+jXrx9ffvkl3377LbNnz2bu3LlMmVK2rkpAQMAF73+pUw5GRkZy8uRJu23lP0dGVrLO0AUEBQXZRiN9+OGHNG3alGuvvdY2FV1eXh6DBg3iueeeo6CgAB8fH1tnYFRU2Rd/azPlYEpKCj179qR79+688cYbld5nw4YNDBo0iPnz5zN69Gi728LDw1mxYgWFhYVkZGQQHR3Nww8/bBstd65jx47x3Xff2a3BBWUdcq+99hpbtmzh6quvxmAw0L59e3744Qdee+21Wp2jAQMGMGHCBMaNG8egQYMICwursM+cOXN4+eWXeemll2jXrh1+fn7ce++9FBcX2/apyXMaGRlJenq63W0lJSVkZmZWeT1ERkZSXFxMVlaW3SitkydP1vgaEsLdGAwGfNuH490smOyvj3J2Sxr5P5+kYOdpVFHZKM/cNUmYg73wu6by10O7Xn2Jaduen3/8gauvu4HgiJpNlVsXpEPLWbKT4YvpGNQ5Pban9kFumlZrFwkhhBBCCCHcW3XXjyrIza10e8aJY2ScOHbRx7lpwhSu6t3/ktoqhBCXg8FgqNbUf0opDCUmPIJ9CRnejMzlB2xr4oQMb4ZHuO9Fj3EpNm/ebPfzTz/9RLNmzTCZTLRq1YqSkhI2b95sG6mUkZHB/v37ad26te0+MTExTJw4kYkTJ/LII4/w5ptv2jq06nrKwW7duvHYY49hsVjw+GPKtdWrV9OiRYtarZ9Vzt/fn+nTp/PPf/7TlqFTp062taCKi4vx9fWtkK2mUw4mJyfTs2dPOnfuTGJiYqWjqtavX88tt9zC888/z4QJE6o8rre3Nw0aNMBisfDJJ59U2o7ExEQiIiK4+eab7bbn5+cDVHh8k8lU65EkZrOZ0aNH88ILL/DVV19Vus+PP/7IkCFD+Nvf/gaUjV75/fff7a6vmjyn3bp1Iysri23bttG5c2cA1q5di9VqtRtpeK7OnTvj4eHBmjVrGDFiBAD79+8nKSmJbt261Sy0EG7K6OtByPBm+HaK4MxHv1OaUWh3e+byA3g1D8FcxRcsAsLqERIb7/SRWeWkQ8tZzhwCdd6bhiqFM4e16dA6f9FKneiaTddcoG82yeV+dM2may7heDpfK7pm0zUX6JutLnJVZ/2oSufZNxjpO3EqRWfPkpmWSvbJVE4lHeVs5pmK97/IfPy6ni/QN5uuuUDvbMKxyjsR/K6JxKt5CCWnCzDX86nyg0NHSkpK4v777+fvf/87v/zyC6+++ipz584FoFmzZgwZMoTx48ezcOFCAgICePjhh2nQoAFDhgwB4N5772XAgAE0b96czMxM1q1bR6tWrWy5mjZtWu11YoqLi9mzZ4/t/5OTk9m+fTv+/v62kVP/+c9/+PTTT1mzZg0Af/3rX5k1axbjxo3joYceYteuXbz88svMnz//kp+bv//97zz99NN88skn3HrrrUyePJk333yTv/71r0ybNo2oqCgOHTrE0qVLeeutt2xrNYWGhl784JR1ZiUkJBAXF8eLL77IqVOnbLeVjwxat24dt9xyC9OnT2fEiBG2NZ08PT1tj7N582aSk5Pp0KEDycnJzJw5E6vVyoMPPmj3eFarlcTERMaMGVNhir6WLVvStGlTpk+fzty5c6lXrx4rVqxg9erVrFy5stbP4dNPP82//vWvSkdnQdk19vHHH7Nx40ZCQkKYN28eJ0+etOvQqslz2qpVK/r378/48eNZsGABFouFqVOnctttt9k6vZKTk+nduzfvvPMOXbp0ISgoiHHjxnH//fcTGhpKYGAgU6dOpVu3blx77bW1zn65VDW1pLvT+T3UlbN5NQoiZEgTTr+92/4GRdl70wXel1wpl3RoOUtok7L5Os7t1DKYILTikGF3ZDKZ7Ob81Ymu2XTNBfpmk1zuR9dsuuYSjqfztaJrNl1zgb7ZnJmrfJ791W/+B2W12ubZb5twk91+uRmneXPyXTVaYFrX8wX6ZtM1F+idTTiWwWDAx8fH9rM5yOuydGSVGz16NAUFBXTp0gWTycT06dPtRgElJiYyffp0brnlFoqLi7nxxhtZtWqVbTRUaWkpkydP5sSJEwQGBtK/f3/mz59fIVd1pKSk0LFjR9vPL774Ii+++CI9evRg/fr1AJw+fdq2XhWUTRP47bffMnnyZDp37ky9evV48skn7TKsX7+enj17cuTIERo1alTt9oSGhjJ69GhmzpzJ8OHDiY6O5scff+Shhx5i8ODBFBUVERcXR//+/WvVqbB69WoOHjzIwYMHadiwod1t5e9/S5YsIT8/n9mzZzN79mzb7ec+J4WFhTz++OMcPnwYf39/Bg4cyLvvvms3fR7Ad999R1JSEnfffXeFtnh4eLBq1SoefvhhBg8eTF5eHk2bNmXJkiUMHDjQtl9CQgKNGjVi8eLF1cro6elJvXpVj9gob3e/fv3w9fVlwoQJDB06lOzs7GodvzLvv/8+U6ZMoXfv3hiNRkaMGMErr7xi61i1WCzs37/fNioNYP78+bZ9i4qK6NevH6+//nqt23C51OZ15g50fg91h2zm+n5goMIUuOZ6VV9rrpbLoNxp5TwnysnJISgoiOzs7EseMm3zyzuoL+7FoEpRBhOGQS9Bp9EXv58bsFqtnDlzhtDQUO2+TaBrNl1zgb7ZJJf70TVbXeWqk/deUW118fzr+hoAfbPpmgv0zeYKuXIzTpOVlkJwZHSVU5PsXPtthY6vdr36VnlMV8hVV3TNpmsuqJtsUvc414We/8LCQo4cOUJ8fHyNv6GulKKkpASz2VztkUyOkpCQQIcOHXjppZccfmxn5jpfYmIizz77LHv27LF1xF0KV8rmSNXJFRcXx6xZsxg7duzlbdwl0PV8gWOzXcrvMUeT+sD5zm5NqzAFblVraIHrfeYjI7ScqdNorPEJHNyymqZdbsIUEnvx+7gJpRTHjh27pDmNXZWu2XTNBfpmk1zuR9dsuuYSjqfztaJrNl1zgb7ZXCFXQFi9i86x365XXxq173TRjq9yrpCrruiaTddcoHc24XjFxcUVpoDTgavkWrVqFc8++6xDOrPKuUo2R7tQrt27dxMUFMTo0e73RXtdzxfomU3n91B3yVbTKXBdLZderwh3FNiAvHodIFCPdbOEEEIIIYQQojqq0/ElhBBCXMhHH33k7CZooU2bNuzYscPZzRBCXCaXewpcR5IOLSGEEEIIIYQQQgghNFK+BpMQQgihE9edzPEKouv82LrmAn2z6ZoL9M0mudyPrtl0zSUcT+drRddsuuYCfbNJLvejazZdc4He2YRjmUwmZzehTuiaC/TNJrncj67ZdH4P1TWbK+UyKKWUsxvhDmSBViGEEOLykvde55LnXwghhLh85H3XuS70/BcWFnLkyBHi4+Px9vZ2UguFEKL25PeYcEW1rX1khJaTWa1WUlJSsFqtzm6KQ+maC/TNpmsu0Deb5HI/umbTNZdwPJ2vFV2z6ZoL9M0mudyPrtl0zQV6ZxNVq833wZUQuFvxAAAczklEQVRSFBcX1+q+rkzXXKBvNsnlfhyZzZWeH53fQ3XN5mq5pEPLyZRSpKamutQvFkfQNRfom03XXKBvNsnlfnTNpmsu4Xg6Xyu6ZtM1F+ibTXK5H12z6ZoL9M4mKvLw8AAgPz+/Vve3WCyObI7L0DUX6JtNcrkfR2Ur//1V/vvMmXR+D9U1m6vlMju7AUIIIYQQQgghhBBCuCKTyURwcDDp6ekA+Pr6YjAYqnVfpRRFRUUYjcZq38cd6JoL9M0mudyPI7IppcjPzyc9PZ3g4GBt1+QSVxbp0BJCCCGEEEIIIYQQogqRkZEAtk6t6lJKYbFY8PDw0OrDdl1zgb7ZJJf7cWS24OBg2+8xIdyddGg5mcFgICwsTLtfurrmAn2z6ZoL9M0mudyPrtl0zSUcT+drRddsuuYCfbNJLvejazZdc4He2UTlDAYDUVFRRERE1GgKMKvVSmpqKlFRURiN+qz6oWsu0Deb5HI/jsrm4eHhUiOzdH4P1TWbq+UyKFeZ/NDF5eTkEBQURHZ2NoGBgc5ujhBCCKE9ee91Lnn+hRBCiMtH3nedS55/IYQQ4vKq7XuvXl3XbshqtXL06FGsVquzm+JQuuYCfbPpmgv0zSa53I+u2XTNJRxP52tF12y65gJ9s0ku96NrNl1zgd7ZhGPpeq3omgv0zSa53I+u2XTNBfpmc7Vc0qHlZEopMjIy0G2gnK65QN9suuYCfbNJLvejazZdcwnH0/la0TWbrrlA32ySy/3omk3XXKB3NuFYul4ruuYCfbNJLvejazZdc4G+2Vwtl3RoCSGEEEIIIYQQQgghhBBCCJdmdnYD3EV5D2ROTo5Dj1taWkpeXh45OTkutUDfpdI1F+ibTddcoG82yeV+dM1WV7nK33Nd5VtAV5q6qH10fQ2Avtl0zQX6ZpNc7kfXbLrmgrrJJnWPc8lnPjWjay7QN5vkcj+6ZtM1F+ibzdU+85EOrWrKzc0FICYmxsktEUIIIa4subm5BAUFObsZVxypfYQQQojLT+oe55C6RwghhHCOmtY+BiVf/6kWq9VKSkoKAQEBGAwGhx03JyeHmJgYjh8/TmBgoMOO62y65gJ9s+maC/TNJrncj67Z6iqXUorc3Fyio6MxGmWW5MutLmofXV8DoG82XXOBvtkkl/vRNZuuuaBusknd41zymU/N6JoL9M0mudyPrtl0zQX6ZnO1z3xkhFY1GY1GGjZsWGfHDwwM1OpCL6drLtA3m665QN9sksv96JqtLnLJN5Sdpy5rH11fA6BvNl1zgb7ZJJf70TWbrrnA8dmk7nEe+cyndnTNBfpmk1zuR9dsuuYCfbO5ymc+8rUfIYQQQgghhBBCCCGEEEII4dKkQ0sIIYQQQgghhBBCCCGEEEK4NNPMmTNnOrsRVzqTyURCQgJms14zQOqaC/TNpmsu0Deb5HI/umbTNZdwPJ2vFV2z6ZoL9M0mudyPrtl0zQV6ZxOOpeu1omsu0Deb5HI/umbTNRfom82VchmUUsrZjRBCCCGEEEIIIYQQQgghhBCiKjLloBBCCCGEEEIIIYQQQgghhHBp0qElhBBCCCGEEEIIIYQQQgghXJp0aAkhhBBCCCGEEEIIIYQQQgiXJh1aQgghhBBCCCGEEEIIIYQQwqVJh5aTHD16lHHjxhEfH4+Pjw9NmjRhxowZFBcX2+23Y8cObrjhBry9vYmJieGFF15wUour75lnnqF79+74+voSHBxc6T4Gg6HCv6VLl17mltZcdbIlJSVx88034+vrS0REBP/6178oKSm5zC29NI0aNapwfp577jlnN6tWXnvtNRo1aoS3tzddu3Zly5Ytzm7SJZs5c2aF89OyZUtnN6vGvv/+ewYNGkR0dDQGg4EVK1bY3a6U4sknnyQqKgofHx/69OnDgQMHnNTa6rtYrrFjx1Y4f/3793dSa6tv9uzZXHPNNQQEBBAREcHQoUPZv3+/3T6FhYVMnjyZsLAw/P39GTFiBCdPnnRSi4Ur0bnuAX1rnyul7gF9ah+pe1yXrnUPSO0jtY+ojM61j9Q9Uve4Et1qH13qHtC39pG6x/l1j3RoOcm+ffuwWq0sXLiQ3bt3M3/+fBYsWMCjjz5q2ycnJ4e+ffsSFxfHtm3bmDNnDjNnzuSNN95wYssvrri4mNtuu41JkyZdcL/ExERSU1Nt/4YOHXqZWlh7F8tWWlrKzTffTHFxMRs3bmTJkiUsXryYJ5988jK39NI99dRTdudn6tSpzm5SjS1btoz777+fGTNm8Msvv9C+fXv69etHenq6s5t2ydq0aWN3fv73v/85u0k1dvbsWdq3b89rr71W6e0vvPACr7zyCgsWLGDz5s34+fnRr18/CgsLL3NLa+ZiuQD69+9vd/4++OCDy9jC2tmwYQOTJ0/mp59+YvXq1VgsFvr27cvZs2dt+9x333188cUXfPTRR2zYsIGUlBSGDx/uxFYLV6Fz3QP61j5XUt0D7l/7SN3j2nSte0BqH6l9RGV0rn2k7pG6x1XoWvvoUPeAvrWP1D0uUPco4TJeeOEFFR8fb/v59ddfVyEhIaqoqMi27aGHHlItWrRwRvNqLDExUQUFBVV6G6A+/fTTy9wix6kq26pVq5TRaFRpaWm2bf/3f/+nAgMD7c6jq4uLi1Pz5893djMuWZcuXdTkyZNtP5eWlqro6Gg1e/ZsJ7bq0s2YMUO1b9/e2c1wqPN/J1itVhUZGanmzJlj25aVlaW8vLzUBx984Iwm1kplv+vGjBmjhgwZ4qQWOU56eroC1IYNG5RSZefHw8NDffTRR7Z99u7dqwC1adMmZzVTuDDd6h6l9K19dK97lNKj9pG6x33oWvcoJbWP1D7iQnSrfaTukbrH2XSsfXSse5TSt/aRusc5dY+M0HIh2dnZhIaG2n7etGkTN954I56enrZt/fr1Y//+/WRmZjqjiQ41efJk6tWrR5cuXXj77bdRSjm7SZds06ZNtGvXjvr169u29evXj5ycHHbv3u3EltXcc889R1hYGB07dmTOnDluN4y+uLiYbdu20adPH9s2o9FInz592LRpkxNb5hgHDhwgOjqaxo0bM3LkSJKSkpzdJIc6cuQIaWlpducvKCiIrl27anH+1q9fT0REBC1atGDSpElkZGQ4u0k1lp2dDWB739q2bRsWi8XunLVs2ZLY2FgtzplwvCut7gH9ah+d6h5w79pH6h73pnvdA1L7CAFXXu0jdY9rc+e6B/SufXSve0D/2kfqnrplvqyPJqp08OBBXn31VV588UXbtrS0NOLj4+32K3/jTEtLIyQk5LK20ZGeeuopevXqha+vL99++y3/+Mc/yMvLY9q0ac5u2iVJS0uzK27A/py5i2nTptGpUydCQ0PZuHEjjzzyCKmpqcybN8/ZTau206dPU1paWun52Ldvn5Na5Rhdu3Zl8eLFtGjRgtTUVGbNmsUNN9zArl27CAgIcHbzHKL89VLZ+XOn11Jl+vfvz/Dhw4mPj+fQoUM8+uijDBgwgE2bNmEymZzdvGqxWq3ce++9XHfddbRt2xYoO2eenp4V5pvX4ZwJx7vS6h7Qs/bRpe4B9699pO5xbzrXPSC1jxBw5dU+Uve4Nneve0Df2udKqHtA79pH6p66JyO0HOzhhx+udPHLc/+d/4s1OTmZ/v37c9tttzF+/HgntfzCapPrQp544gmuu+46OnbsyEMPPcSDDz7InDlz6jBB1RydzVXVJOf9999PQkICV111FRMnTmTu3Lm8+uqrFBUVOTmFABgwYAC33XYbV111Ff369WPVqlVkZWXx4YcfOrtpohruvPNOBg8eTLt27Rg6dCgrV65k69atrF+/3tlNq7bJkyeza9cul1/YWdQ9Xese0Lf2uVLqHpDaRxdS97g/qX2ETnStfaTucX9S9+hB6h73J3VP3ZMRWg72wAMPMHbs2Avu07hxY9v/p6Sk0LNnT7p3715h4c/IyEhOnjxpt63858jISMc0uJpqmqumunbtytNPP01RURFeXl61Pk5tODJbZGQkW7ZssdvmrHN2vkvJ2bVrV0pKSjh69CgtWrSog9Y5Xr169TCZTJW+hpx9LhwtODiY5s2bc/DgQWc3xWHKz9HJkyeJioqybT958iQdOnRwVrPqROPGjalXrx4HDx6kd+/ezm7ORU2ZMoWVK1fy/fff07BhQ9v2yMhIiouLycrKsvvGjo6vOfEnXese0Lf2uVLqHriyah+pe9zblVT3gNQ+wr3pWvtI3XNxUve4liul9tGx7oErq/aRusfxpEPLwcLDwwkPD6/WvsnJyfTs2ZPOnTuTmJiI0Wg/YK5bt2489thjWCwWPDw8AFi9ejUtWrS47EPPa5KrNrZv305ISMhl78wCx2br1q0bzzzzDOnp6URERABl5ywwMJDWrVs75DFq61Jybt++HaPRaMvkDjw9PencuTNr1qxh6NChQNmQ2TVr1jBlyhQnt86x8vLyOHToEKNGjXJ2UxwmPj6eyMhI1qxZYytmcnJy2Lx5M5MmTXJy6xzrxIkTZGRk2BVxrkgpxdSpU/n0009Zv359helROnfujIeHB2vWrGHEiBEA7N+/n6SkJLp16+aMJovLQNe6B/Stfa6UugeurNpH6h73diXVPSC1j3BvutY+UvdcnNQ9ruVKqX10rHvgyqp9pO6pm8YKJzhx4oRq2rSp6t27tzpx4oRKTU21/SuXlZWl6tevr0aNGqV27dqlli5dqnx9fdXChQud2PKLO3bsmPr111/VrFmzlL+/v/r111/Vr7/+qnJzc5VSSn3++efqzTffVDt37lQHDhxQr7/+uvL19VVPPvmkk1t+cRfLVlJSotq2bav69u2rtm/frr7++msVHh6uHnnkESe3vPo2btyo5s+fr7Zv364OHTqk3nvvPRUeHq5Gjx7t7KbV2NKlS5WXl5davHix2rNnj5owYYIKDg5WaWlpzm7aJXnggQfU+vXr1ZEjR9SPP/6o+vTpo+rVq6fS09Od3bQayc3Ntb2GADVv3jz166+/qmPHjimllHruuedUcHCw+uyzz9SOHTvUkCFDVHx8vCooKHByyy/sQrlyc3PVP//5T7Vp0yZ15MgR9d1336lOnTqpZs2aqcLCQmc3/YImTZqkgoKC1Pr16+3es/Lz8237TJw4UcXGxqq1a9eqn3/+WXXr1k1169bNia0WrkLnukcpfWufK6HuUUqf2kfqHtema92jlNQ+UvuIyuhc+0jdI3WPq9Cx9tGl7lFK39pH6h7n1z3SoeUkiYmJCqj037l+++03df311ysvLy/VoEED9dxzzzmpxdU3ZsyYSnOtW7dOKaXUV199pTp06KD8/f2Vn5+fat++vVqwYIEqLS11bsOr4WLZlFLq6NGjasCAAcrHx0fVq1dPPfDAA8pisTiv0TW0bds21bVrVxUUFKS8vb1Vq1at1LPPPuvyv3ir8uqrr6rY2Fjl6empunTpon766SdnN+mS3XHHHSoqKkp5enqqBg0aqDvuuEMdPHjQ2c2qsXXr1lX6ehozZoxSSimr1aqeeOIJVb9+feXl5aV69+6t9u/f79xGV8OFcuXn56u+ffuq8PBw5eHhoeLi4tT48ePdouCu6j0rMTHRtk9BQYH6xz/+oUJCQpSvr68aNmyY3R/t4sqlc92jlL61z5VQ9yilV+0jdY/r0rXuUUpqH6l9RGV0rn2k7pG6x5XoVvvoUvcopW/tI3WP8+sewx8NFkIIIYQQQgghhBBCCCGEEMIlGS++ixBCCCGEEEIIIYQQQgghhBDOIx1aQgghhBBCCCGEEEIIIYQQwqVJh5YQQgghhBBCCCGEEEIIIYRwadKhJYQQQgghhBBCCCGEEEIIIVyadGgJIYQQQgghhBBCCCGEEEIIlyYdWkIIIYQQQgghhBBCCCGEEMKlSYeWEEIIIYQQQgghhBBCCCGEcGnSoSWEEEIIIYQQQgghhBBCCCFcmnRoCSGEEEIIIYQQQgghhBBCCJcmHVpCiEuSkJDAvffeW6ePoZRiwoQJhIaGYjAY2L59e50+niPU1fOSkZFBREQER48erXBbUVERU6ZMYerUqRQVFVW4/c4772Tu3LkOb5MQQghxJZHap3JS+wghhBD6kbqnclL3COE80qElhMY2bdqEyWTi5ptvdnZTLsnXX3/N4sWLWblyJampqbRt27ZWx6ms4LgcxZkjPfPMMwwZMoRGjRpVuO2///0vffr04aabbuLdd9+tcPvjjz/OM888Q3Z29mVoqRBCCHH5Se1jT2ofqX2EEELoS+oee1L3SN0jrgzSoSWExhYtWsTUqVP5/vvvSUlJcXZzau3QoUNERUXRvXt3IiMjMZvNzm6SU+Tn57No0SLGjRtX6e1WqxWr1QqUfcPpfG3btqVJkya89957ddpOIYQQwlmk9tGL1D5CCCFE1aTu0YvUPUJUj3RoCaGpvLw8li1bxqRJk7j55ptZvHix3e0JCQlMmzaNBx98kNDQUCIjI5k5c6bdPrm5uYwcORI/Pz+ioqKYP3/+Bb/dYrVamT17NvHx8fj4+NC+fXs+/vjjC7azqKiIadOmERERgbe3N9dffz1bt2613T527FimTp1KUlISBoOh0m+pQNk3eq6//nqCg4MJCwvjlltu4dChQ3bH2bBhAy+//DIGgwGDwVDptvJh3Rc7ntVq5YUXXqBp06Z4eXkRGxvLM888U2XOL7/8kqCgIN5///0q99myZQsJCQn4+PjQsmVLfv75Z9544w0GDx4MwKpVq/Dy8uLaa6+t9P4jR45k7dq1rF69mlGjRlW6z6BBg1i6dGmVbRBCCCHcldQ+UvtURmofIYQQOpK6R+qeykjdI64ISgihpUWLFqmrr75aKaXUF198oZo0aaKsVqvt9h49eqjAwEA1c+ZM9fvvv6slS5Yog8Ggvv32W9s+99xzj4qLi1Pfffed2rlzpxo2bJgKCAhQ06dPtztO+c///ve/VcuWLdXXX3+tDh06pBITE5WXl5dav359le2cNm2aio6OVqtWrVK7d+9WY8aMUSEhISojI0MppVRWVpZ66qmnVMOG/9/evYVEtb5xHP9pzoxaJpZF2cHoXGRkh6Ey2EFUm0osIqIgjCyoi4iiI0RRRBfSQSgoCjcRRESFxN6bDTvCIkws0CSzJjtKIdjBlNLy9PwvokX+m/HQYTuN3w/MxTzrXc+8a93MD96Zdw20iooKq6ys9NvnwoULdvHiRSsrK7OioiJLTU21pKQka2pqcvpMmzbN1qxZYxUVFVZRUeG31tjY2K5+W7dutbi4ODt16pQ9fPjQrl+/bidPnvR7X86cOWMxMTH2559/BrwP+fn5FhkZaZmZmfbgwQNbuHChpaam2tChQ62wsNC5V7///nvAHu3xzz//mNvttg8fPnxXHwAAgg3Zh+zjD9kHABCKyD3kHn/IPegKWNACQtT06dMtKyvLzMwaGhosPj7ecnNzneO//fabzZgxo8U5U6ZMsW3btpmZWU1NjblcLjt//rxz/O3btxYdHe033Hz48MGio6Ptxo0bLXpmZGTYsmXL/M7x3bt35nK57MyZM06tvr7eEhISLDMz06kdPnzYEhMTO3T9L1++NEl2586dr+b6JX+1tvrV1NSYx+NpEWb+3+e+R48etdjY2FYDnpnZtGnTbMWKFc77c+fOWXh4uC1atMippaWl2apVq9qca2uKi4tNkj19+vS7+gAAEGzIPmQff8g+AIBQRO4h9/hD7kFX0DU3JQVCnM/n082bN5WTkyNJioiI0NKlS5Wdna2ZM2c648aPH9/ivP79+6uyslKS9PjxYzU0NMjr9TrHY2NjNWrUKL+f+fDhQ9XW1mr27Nkt6vX19UpOTvZ7zqNHj9TQ0KCUlBSn5nK55PV6de/evfZfsKSysjLt2rVLBQUFevXqlbOvcHl5+Tc9ULS1frW1tfr48aNmzZrVao8LFy6osrJSeXl5mjJlSsBxz58/V35+vg4cOODUIiIiZGbas2ePU6urq1NkZGSHr+VLUVFRkj7tzQwAQKgg+5B9AiH7AABCDbmH3BMIuQddAQtaQAjKzs5WY2OjEhISnJqZyePx6OjRo4qNjZX0KUh8KSwszPkS76h3795J+rRv8IABA1oc83g839SzI1JTU5WYmKiTJ08qISFBzc3NGjdunOrr6394v88BoS3JyckqLCzUH3/8ocmTJyssLMzvuM9BbuLEiU7N5/PJ6/UqKSnJqcXHx6uqquqbruezN2/eSJL69OnzXX0AAAgmZB+yTyBkHwBAqCH3kHsCIfegKwjv7AkA+LEaGxt1+vRpHTx4ULdv33ZexcXFSkhI0NmzZ9vVZ+jQoXK5XC0e1lldXa0HDx74HT927Fh5PB6Vl5dr+PDhLV6DBg3ye86wYcPkdruVl5fn1BoaGnTr1i2NHTu23df8+vVr+Xw+7dy5U7NmzdKYMWP8hgC3262mpqY2a231GzFihKKionTlypVW5zVs2DDl5ubq0qVLWr9+fcBx1dXV6tatmxN+3rx5owMHDig6OrrFuOTkZJWWlrb6mW0pKSnRwIEDFR8f/119AAAIFmQfsk9ryD4AgFBC7iH3tIbcg66Af2gBIeavv/5SVVWVMjIynF/lfLZ48WJlZ2dr7dq1bfaJiYlRenq6tmzZol69eqlv377avXu3wsPD/f7qJCYmRps3b9bGjRvV3NysGTNmqLq6Wnl5eerZs6fS09O/Oqd79+5at26d8xmDBw9WZmamamtrlZGR0e5rjouLU+/evXXixAn1799f5eXl2r59+1fjhgwZooKCAj19+lQ9evRQr169/Nba6hcZGalt27Zp69atcrvdSklJ0cuXL3X37t2v5j1y5Ejl5uZq5syZioiIUFZW1lfzmjBhgpqampSZmaklS5Zow4YNGjJkiEpLS/Xs2TMlJiZKkubOnasdO3aoqqpKcXFx7b4/X7p+/brmzJnzTecCABCMyD5kn9aQfQAAoYTcQ+5pDbkHXUJnPsALwI+3YMECmzdvnt9jBQUFJsmKi4v9PhgzLS3N0tPTnfc1NTW2fPlyi46Otn79+tmhQ4fM6/Xa9u3bnTFf9mlubrasrCwbNWqUuVwu69Onj82dO9euXbsWcL51dXW2fv16i4+PN4/HYykpKXbz5s0WY9rzgNDLly/bmDFjzOPx2Pjx4+3q1asmyXJycpwxPp/Ppk6dalFRUSbJnjx54rfWnn5NTU22b98+S0xMNJfLZYMHD7b9+/f7vS9mZqWlpda3b1/btGmT3/nv3bvXevfubZGRkbZy5Up79eqVTZw40UaPHt1inNfrtePHj7d6LwKpq6uz2NhYy8/P/6bzAQAIRmQfsk8gZB8AQKgh95B7AiH3oKsIMzPrhHU0AL+g9+/fa8CAATp48GCHfk2DH+fvv//Wli1bVFJSovDwju0ae+zYMeXk5Ojff//9SbMDACC0kH06H9kHAID/Brmn85F7gLax5SCAgIqKinT//n15vV5VV1dr7969kqS0tLROnlnXNX/+fJWVlenFixcB96kOxOVy6ciRIz9pZgAA/PrIPsGH7AMAwM9B7gk+5B6gbfxDC0BARUVFWr16tXw+n9xutyZNmqRDhw4pKSmps6cGAADww5F9AABAV0HuAfArYkELAAAAAAAAAAAAQa1jm3ECAAAAAAAAAAAA/zEWtAAAAAAAAAAAABDUWNACAAAAAAAAAABAUGNBCwAAAAAAAAAAAEGNBS0AAAAAAAAAAAAENRa0AAAAAAAAAAAAENRY0AIAAAAAAAAAAEBQY0ELAAAAAAAAAAAAQY0FLQAAAAAAAAAAAAQ1FrQAAAAAAAAAAAAQ1FjQAgAAAAAAAAAAQFD7H2KZ2kmWoOWvAAAAAElFTkSuQmCC", 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", 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- "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "*******************************************************************\n", - "END temps/dji9443_single_bemnoise_00/singlerotor\t2020-07-07T14:49:31.993\n", - "*******************************************************************\n", - "ELAPSED TIME: 0 hours 15 minutes 1 seconds\n" - ] - } - ], - "source": [ - "save_path = \"temps/dji9443_single_bemnoise_00/\" # Where to save the simulation\n", - "\n", - "\n", - "# ------------ PARAMETERS --------------------------------------------------\n", - "# Rotor geometry\n", - "rotor_file = \"DJI9443.csv\" # Rotor geometry\n", - "data_path = uns.def_data_path # Path to rotor database\n", - "pitch = 0.0 # (deg) collective pitch of blades\n", - "n = 50 # Number of blade elements\n", - "CW = true # Clock-wise rotation\n", - "xfoil = true # Whether to run XFOIL\n", - "\n", - "\n", - "# Read radius of this rotor and number of blades\n", - "R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]]\n", - "\n", - "# Simulation parameters\n", - "RPM = 5400 # RPM\n", - "J = 0.0001 # Advance ratio Vinf/(nD)\n", - "rho = 1.071778 # (kg/m^3) air density\n", - "mu = 1.85508e-5 # (kg/ms) air dynamic viscosity\n", - "speedofsound = 342.35 # (m/s) speed of sound\n", - "ReD = 2*pi*RPM/60*R * rho/mu * 2*R # Diameter-based Reynolds number\n", - "\n", - "magVinf = J*RPM/60*(2*R)\n", - "Vinf(X,t) = magVinf*[1.0, 0, 0] # (m/s) freestream velocity\n", - "\n", - "# Aerodynamic solver\n", - "# VehicleType = uns.UVLMVehicle # Unsteady solver\n", - "VehicleType = uns.QVLMVehicle # Quasi-steady solver\n", - "\n", - "# Solver parameters\n", - "nrevs = 10 # Number of revolutions in simulation\n", - "nsteps_per_rev = 120 # Time steps per revolution\n", - "ttot = nrevs/(RPM/60) # (s) total simulation time\n", - "nsteps = nrevs*nsteps_per_rev # Number of time steps\n", - "\n", - "# (Unsteady solver parameters---not used in this example)\n", - "p_per_step = 2 # Sheds per time step\n", - "lambda = 2.125 # Core overlap\n", - "overwrite_sigma = lambda * 2*pi*R/(nsteps_per_rev*p_per_step) # Smoothing core size\n", - "surf_sigma = R/10 # Smoothing radius of lifting surface\n", - "vlm_sigma = surf_sigma # Smoothing radius of VLM\n", - "shed_unsteady = true # Shed particles from unsteady loading\n", - " # Max particles for memory pre-allocation\n", - "max_particles = ((2*n+1)*B)*nrevs*nsteps_per_rev*p_per_step\n", - "\n", - "# OUTPUT OPTIONS\n", - "run_name = \"singlerotor\"\n", - "nsteps_save = 1 # Save vtks every this many steps\n", - "save_wopwopin = true # Generate inputs for PSU-WOPWOP\n", - "prompt = false # Whether to promp the user\n", - "verbose = true\n", - "plot_disc = true # Plot blade discretization for debugging\n", - "\n", - "\n", - "\n", - "\n", - "# ------------ SIMULATION SETUP --------------------------------------------\n", - "# Generate rotor\n", - "rotor = uns.generate_rotor(rotor_file; pitch=pitch,\n", - " n=n, CW=CW, ReD=ReD, altReD=[RPM, J, mu/rho],\n", - " verbose=verbose, xfoil=xfoil,\n", - " data_path=data_path,\n", - " plot_disc=plot_disc)\n", - "\n", - "# ----- VEHICLE DEFINITION\n", - "# System of all FLOWVLM objects\n", - "system = vlm.WingSystem()\n", - "vlm.addwing(system, \"Rotor1\", rotor)\n", - "\n", - "# Systems of rotors\n", - "rotors = vlm.Rotor[rotor] # Defining this rotor as its own system\n", - "rotor_systems = (rotors,)\n", - "\n", - "# Wake-shedding system (don't include the rotor if quasi-steady vehicle)\n", - "wake_system = vlm.WingSystem()\n", - "\n", - "if VehicleType != uns.QVLMVehicle\n", - " vlm.addwing(wake_system, \"Rotor1\", rotor)\n", - "else\n", - " # Mute colinear warnings. This is needed since the quasi-steady solver\n", - " # will probe induced velocities at the lifting line of the blade\n", - " uns.vlm.VLMSolver._mute_warning(true)\n", - "end\n", - "\n", - "# Define vehicle object\n", - "vehicle = VehicleType( system;\n", - " rotor_systems=rotor_systems,\n", - " wake_system=wake_system\n", - " )\n", - "\n", - "\n", - "# ----- MANEUVER DEFINITION\n", - "RPM_fun(t) = 1.0 # RPM (normalized by reference RPM) as a\n", - " # function of normalized time\n", - "angle = () # Angle of each tilting system (none in this case)\n", - "sysRPM = (RPM_fun, ) # RPM of each rotor system\n", - "Vvehicle(t) = zeros(3) # Translational velocity of vehicle over Vcruise\n", - "anglevehicle(t) = zeros(3) # (deg) angle of the vehicle\n", - "\n", - "# Define Maneuver object\n", - "maneuver = uns.KinematicManeuver(angle, sysRPM, Vvehicle, anglevehicle)\n", - "\n", - "# Plot maneuver path and controls\n", - "uns.plot_maneuver(maneuver; vis_nsteps=nsteps)\n", - "\n", - "\n", - "# ----- SIMULATION DEFINITION\n", - "RPMref = RPM\n", - "Vref = 0.0\n", - "\n", - "tinit = 0.0 # (s) initial time\n", - "Vinit = Vref*maneuver.Vvehicle(tinit/ttot) # (m/s) initial vehicle velocity\n", - "angle1 = maneuver.anglevehicle(tinit/ttot) # (rad/s) initial vehicle angular velocity\n", - "angle2 = maneuver.anglevehicle(tinit/ttot + 1e-12)\n", - "Winit = pi/180 * (angle2-angle1)/(ttot*1e-12)\n", - "\n", - "simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot;\n", - " Vinit=Vinit, Winit=Winit, t=tinit)\n", - "\n", - "\n", - "# ----- MONITOR DEFINITION\n", - "monitor = uns.generate_monitor_rotors( rotors, J, rho, RPM, nsteps;\n", - " t_scale=RPM/60, # Time scaling factor for plots\n", - " t_lbl=\"Revolutions\", # x-axis label\n", - " # OUTPUT OPTIONS\n", - " save_path=save_path,\n", - " run_name=\"rotor\",\n", - " figname=\"monitor_rotor\",\n", - " disp_conv=verbose,)\n", - "\n", - "\n", - "# ------------ RUN SIMULATION ----------------------------------------------\n", - "pfield = uns.run_simulation(simulation, nsteps;\n", - " # SIMULATION OPTIONS\n", - " Vinf=Vinf,\n", - " rho=rho,\n", - " mu=mu,\n", - " sound_spd=speedofsound,\n", - " # SOLVERS OPTIONS\n", - " p_per_step=p_per_step,\n", - " overwrite_sigma=overwrite_sigma,\n", - " vlm_sigma=vlm_sigma,\n", - " surf_sigma=surf_sigma,\n", - " max_particles=max_particles,\n", - " shed_unsteady=shed_unsteady,\n", - " extra_runtime_function=monitor,\n", - " # OUTPUT OPTIONS\n", - " save_path=save_path,\n", - " run_name=run_name,\n", - " nsteps_save=nsteps_save,\n", - " save_wopwopin=save_wopwopin,\n", - " prompt=prompt,\n", - " verbose=verbose,\n", - " ); " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "0.07343455000086001" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "8.6*1e-13 + 7.343455e-2" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 2:* Aeroacoustic Solution – Tonal Noise" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this step, we feed the aerodynamic solution to PSU-WOPWOP to obtain the tonal noise in a circular array of microphones located at 1.905 m from the rotor hub as shown below." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "\"Vid" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true, - "scrolled": false - }, - "outputs": [], - "source": [ - "# Path from where to read aerodynamic solution\n", - "read_path = pwd()*\"/temps/dji9443_single_bemnoise_00/\"\n", - "# Path where to save PSU-WOPWOP's outputs\n", - "save_path = \"temps/dji9443_single_bemnoise_00_psw00/\"\n", - "# Path to PSU-WOPWOP binary (not included in FLOWUnsteady)\n", - "wopwopbin = \"/home/edoalvar/Dropbox/FLOWResearch/OtherCodes/PSU-WOPWOP_v3.4.3_B3385/wopwop3_serial\"\n", - "# Run name (prefix of rotor files to read)\n", - "run_name = \"singlerotor\"\n", - "\n", - "# ------------ PARAMETERS --------------------------------------------------\n", - "# NOTE: Make sure that these parameters match what was used in the \n", - "# aerodynamic solution.\n", - "\n", - "# Rotor geometry\n", - "rotor_file = \"DJI9443.csv\" # Rotor geometry\n", - "data_path = uns.def_data_path # Path to rotor database\n", - "\n", - "# Read radius of this rotor and number of blades\n", - "R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]]\n", - "\n", - "rotorsystems = [[B]] # rotorsystems[si][ri] is the number of blades of the ri-th rotor in the si-th system\n", - "\n", - "# Simulation parameters\n", - "RPM = 5400 # RPM is just a reference value to go from nrevs to simulation time\n", - "rho = 1.071778 # (kg/m^3) air density\n", - "speedofsound = 342.35 # (m/s) speed of sound\n", - "\n", - "# Solver parameters\n", - "ww_nrevs = 9 # Number of revolutions in PSU-WOPWOP\n", - "ww_nsteps_per_rev = 120 # Number of steps per revolution in PSU-WOPWOP\n", - "periodic = true # Periodic aerodynamic solution\n", - "\n", - "# Observer definition: Circular array of microphones\n", - "sph_R = 1.905 # (m) radial distance from rotor hub\n", - "sph_nR = 0\n", - "sph_nphi = 0\n", - "sph_ntht = 360 # Number of microphones\n", - "sph_thtmin = 0 # (deg) first microphone's angle\n", - "sph_thtmax = 360 # (deg) last microphone's angle\n", - "sph_phimax = 180\n", - "sph_rotation = [90, 0, 0] # Rotation of grid of microphones\n", - "obs_name = \"circle_mic_array\" # Observer file name\n", - "\n", - "# Observer definition: Single microphone\n", - "Rmic = 1.905 # (m) radial distance from rotor hub\n", - "anglemic = 90*pi/180 # (rad) microphone angle from plane of rotation (- below, + above)\n", - " # 0deg is at the plane of rotation, 90deg is upstream\n", - "microphoneX = nothing # Comment and uncomment this to switch from array to single microphone\n", - "# microphoneX = Rmic*[-sin(anglemic), cos(anglemic), 0]\n", - "\n", - "\n", - "# ------------ RUN PSU-WOPWOP ----------------------------------------------\n", - "uns.run_noise_wopwop(read_path, run_name, RPM, rho, speedofsound, rotorsystems, \n", - " ww_nrevs, ww_nsteps_per_rev, save_path, wopwopbin;\n", - " # ---------- OBSERVERS -------------------------\n", - " sph_R=sph_R,\n", - " sph_nR=sph_nR, sph_ntht=sph_ntht,\n", - " sph_nphi=sph_nphi, sph_phimax=sph_phimax,\n", - " sph_rotation=sph_rotation,\n", - " sph_thtmin=sph_thtmin, sph_thtmax=sph_thtmax,\n", - " microphoneX=microphoneX,\n", - " # ---------- SIMULATION OPTIONS ----------------\n", - " periodic=periodic,\n", - " # ---------- INPUT OPTIONS ---------------------\n", - " num_min=1, # Start reading loading files from this number\n", - " # ---------- OUTPUT OPTIONS --------------------\n", - " verbose=true, v_lvl=0,\n", - " prompt=false, debug_paraview=false,\n", - " debuglvl=1, # WW debug level\n", - " observerf_name=\"observergrid\", # .xyz file with observer grid\n", - " case_name=\"runcase\", # Name of case to create and run\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Optional Step:* Processing VTKs" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "When debugging things, I like to convert the PSU-WOPWOP's inputs back to vtk and visualize them in Paraview. This helps verify that we are passing the right things to PSU-WOPWOP. In order to do that, the following lines grab those inputs files that are formated for PSU-WOPWOP and converts them into vtk files." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "*************************************************************************\n", - "*\t\tREADING singlerotor_Rotor1_Blade1_loft.wop\n", - "*************************************************************************\n", - "Int32[42]\t # Magic number\n", - "Int32[1, 0]\t # Version\n", - "N/m^2 \t # Units\n", - "Geometry input file for PSU-WOPWOP (Format v1.0)\n", - "------------------------------------------------\n", - "Created by FLOWNoise (written by Eduardo Alvarez)\n", - "https://github.com/byuflowlab/FLOWNoise\n", - "Creation date: 2020-07-07T15:41:43.596\n", - "Units: SI\n", - "Format: Unstructured grid, face-centered \t # Comment\n", - "Int32[1]\t # Geometry file\n", - "1\t\t # Number of zones\n", - "Int32[2]\t # 1==structured, 2==unstructured\n", - "Int32[2]\t # 1==Constant, 2==Periodic, 3==Aperiodic\n", - "2\t\t # Normal centered 1==node, 2==face\n", - "Int32[1]\t # 1==single, 2==double\n", - "Int32[0]\t # iblank\n", - "Int32[0]\t # something\n", - "vtkpatch \t1664 1581\t# Name, nbNodes, nbFaces\n", - "\t0.10000000149011612\t1081\t# Period, nt\n", - "*************************************************************************\n", - "*\t\tREADING singlerotor_Rotor1_Blade2_loft.wop\n", - "*************************************************************************\n", - "Int32[42]\t # Magic number\n", - "Int32[1, 0]\t # Version\n", - "N/m^2 \t # Units\n", - "Geometry input file for PSU-WOPWOP (Format v1.0)\n", - "------------------------------------------------\n", - "Created by FLOWNoise (written by Eduardo Alvarez)\n", - "https://github.com/byuflowlab/FLOWNoise\n", - "Creation date: 2020-07-07T15:42:08.076\n", - "Units: SI\n", - "Format: Unstructured grid, face-centered \t # Comment\n", - "Int32[1]\t # Geometry file\n", - "1\t\t # Number of zones\n", - "Int32[2]\t # 1==structured, 2==unstructured\n", - "Int32[2]\t # 1==Constant, 2==Periodic, 3==Aperiodic\n", - "2\t\t # Normal centered 1==node, 2==face\n", - "Int32[1]\t # 1==single, 2==double\n", - "Int32[0]\t # iblank\n", - "Int32[0]\t # something\n", - "vtkpatch \t1664 1581\t# Name, nbNodes, nbFaces\n", - "\t0.10000000149011612\t1081\t# Period, nt\n", - "*************************************************************************\n", - "*\t\tREADING singlerotor_Sys1_Rotor1_Blade1_compact.wop\n", - "*************************************************************************\n", - "\tInt32[42]\t # Magic number\n", - "\tInt32[1, 0]\t # Version\n", - "\tCompact patch loading data file for PSU-WOPWOP (Format v1.0)\n", - "------------------------------------------------\n", - "Created for noise-prop-on-prop project (written by Eduardo Alvarez)\n", - "https://github.com/byuflowlab/alvarezcritchfield2020-noise-prop-on-prop\n", - "Creation date: 2020-07-07T15:42:34.641\n", - "Units: SI\n", - "Format: Global coordinate system, unstructured \t # Comment\n", - "\tInt32[2]\t # Functional file\n", - "\t1\t\t # Number of zones\n", - "\tInt32[2]\t # 1==structured, 2==unstructured\n", - "\tInt32[2]\t # 1==Constant, 2==Periodic, 3==Aperiodic\n", - "\t2\t\t # 1==node-centered, 2==face-centered\n", - "\tInt32[2]\t # 1==pressure, 2==loading, 3==flow\n", - "\tInt32[1]\t # 1==stationary ground, 2==rotating ground, 3==patch\n", - "\tInt32[1]\t # 1==single, 2==double\n", - "\tInt32[0]\t # something\n", - "\tInt32[0]\t # something else\n", - "\t\tZone specification: [-1]\n", - "\t\tliftinglineloading\tAny[0.1f0, 1081]\t50 # Name, Time info, dims\n", - "Int32[42]\t # Magic number\n", - "Int32[1, 0]\t # Version\n", - "N/m^2 \t # Units\n", - "Geometry input file for PSU-WOPWOP (Format v1.0)\n", - "------------------------------------------------\n", - "Created by FLOWNoise (written by Eduardo Alvarez)\n", - "https://github.com/byuflowlab/FLOWNoise\n", - "Creation date: 2020-07-07T15:42:33.145\n", - "Units: SI\n", - "Format: Structured grid, node-centered \t # Comment\n", - "Int32[1]\t # Geometry file\n", - "1\t\t # Number of zones\n", - "Int32[1]\t # 1==structured, 2==unstructured\n", - "Int32[2]\t # 1==Constant, 2==Periodic, 3==Aperiodic\n", - "1\t\t # Normal centered 1==node, 2==face\n", - "Int32[1]\t # 1==single, 2==double\n", - "Int32[0]\t # iblank\n", - "Int32[0]\t # something\n", - "vtkcompactpatch \t1 51\t# Name, iMax, jMax\n", - "\t0.10000000149011612\t1081\t# Period, nt\n", - "*************************************************************************\n", - "*\t\tREADING singlerotor_Sys1_Rotor1_Blade2_compact.wop\n", - "*************************************************************************\n", - "\tInt32[42]\t # Magic number\n", - "\tInt32[1, 0]\t # Version\n", - "\tCompact patch loading data file for PSU-WOPWOP (Format v1.0)\n", - "------------------------------------------------\n", - "Created for noise-prop-on-prop project (written by Eduardo Alvarez)\n", - "https://github.com/byuflowlab/alvarezcritchfield2020-noise-prop-on-prop\n", - "Creation date: 2020-07-07T15:42:34.659\n", - "Units: SI\n", - "Format: Global coordinate system, unstructured \t # Comment\n", - "\tInt32[2]\t # Functional file\n", - "\t1\t\t # Number of zones\n", - "\tInt32[2]\t # 1==structured, 2==unstructured\n", - "\tInt32[2]\t # 1==Constant, 2==Periodic, 3==Aperiodic\n", - "\t2\t\t # 1==node-centered, 2==face-centered\n", - "\tInt32[2]\t # 1==pressure, 2==loading, 3==flow\n", - "\tInt32[1]\t # 1==stationary ground, 2==rotating ground, 3==patch\n", - "\tInt32[1]\t # 1==single, 2==double\n", - "\tInt32[0]\t # something\n", - "\tInt32[0]\t # something else\n", - "\t\tZone specification: [-1]\n", - "\t\tliftinglineloading\tAny[0.1f0, 1081]\t50 # Name, Time info, dims\n", - "Int32[42]\t # Magic number\n", - "Int32[1, 0]\t # Version\n", - "N/m^2 \t # Units\n", - "Geometry input file for PSU-WOPWOP (Format v1.0)\n", - "------------------------------------------------\n", - "Created by FLOWNoise (written by Eduardo Alvarez)\n", - "https://github.com/byuflowlab/FLOWNoise\n", - "Creation date: 2020-07-07T15:42:33.439\n", - "Units: SI\n", - "Format: Structured grid, node-centered \t # Comment\n", - "Int32[1]\t # Geometry file\n", - "1\t\t # Number of zones\n", - "Int32[1]\t # 1==structured, 2==unstructured\n", - "Int32[2]\t # 1==Constant, 2==Periodic, 3==Aperiodic\n", - "1\t\t # Normal centered 1==node, 2==face\n", - "Int32[1]\t # 1==single, 2==double\n", - "Int32[0]\t # iblank\n", - "Int32[0]\t # something\n", - "vtkcompactpatch \t1 51\t# Name, iMax, jMax\n", - "\t0.10000000149011612\t1081\t# Period, nt\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Generated the following files:\n", - "\ttemps/dji9443_single_bemnoise_00_psw00/runcase/../vtks//singlerotor_Rotor1_Blade1_loft_vtkpatch...vtk;singlerotor_Rotor1_Blade2_loft_vtkpatch...vtk;singlerotor_Sys1_Rotor1_Blade1_compact_vtkcompactpatch...vtk;singlerotor_Sys1_Rotor1_Blade2_compact_vtkcompactpatch...vtk;\n" - ] - } - ], - "source": [ - "read_path = \"temps/dji9443_single_bemnoise_00_psw00/runcase/\" # Path to PSW's input files\n", - "save_path = read_path*\"../vtks/\" # Where to save VTK files\n", - "\n", - "# Create save path\n", - "noise.gt.create_path(save_path, true)\n", - "\n", - "# Identify loft and compact PSW files\n", - "wopfiles = [fname for fname in readdir(read_path)\n", - " if occursin(\"loft.wop\", fname) || occursin(\"compact.wop\", fname)]\n", - "\n", - "vtk_str = \"$save_path/\"\n", - " \n", - "for fname in wopfiles\n", - " \n", - " println(\"*\"^73)\n", - " println(\"*\\t\\tREADING $fname\")\n", - " println(\"*\"^73)\n", - "\n", - " # Identifies loading file if compact patch\n", - " if occursin(\"compact.wop\", fname)\n", - " lfname = fname[1:findfirst(\"compact.wop\", fname)[1]-1]*\"loading_periodic.wop\"\n", - " else\n", - " lfname = nothing\n", - " end\n", - "\n", - " # Convert from PSW to VTK\n", - " vtk_str *= noise.geomwopwop2vtk(fname; read_path=read_path,\n", - " loading_file=lfname, verbose=true,\n", - " save_path=save_path)[end]\n", - "end\n", - "\n", - "println(\"Generated the following files:\\n\\t$(vtk_str)\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 3:* Aeroacoustic Solution – Broadband Noise" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": { - "hidden": true, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "Folder temps/dji9443_single_bemnoise_00_bpm00/ already exists. Remove? (y/n) stdin> y\n", - "\n", - "\n" - ] - } - ], - "source": [ - "# Path where to save BPM's outputs\n", - "save_path = \"temps/dji9443_single_bemnoise_00_bpm00/\"\n", - "\n", - "# ------------ PARAMETERS --------------------------------------------------\n", - "# NOTE: Make sure that these parameters match what was used in the \n", - "# aerodynamic solution.\n", - "\n", - "# Rotor geometry\n", - "rotor_file = \"DJI9443.csv\" # Rotor geometry\n", - "data_path = uns.def_data_path # Path to rotor database\n", - "pitch = 0.0 # (deg) collective pitch of blades\n", - "n = 50 # Number of blade elements\n", - "CW = true # Clock-wise rotation\n", - "\n", - "\n", - "# Read radius of this rotor and number of blades\n", - "R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]]\n", - "\n", - "# Simulation parameters\n", - "RPM = 5400 # RPM\n", - "J = 0.0001 # Advance ratio Vinf/(nD)\n", - "rho = 1.071778 # (kg/m^3) air density\n", - "mu = 1.85508e-5 # (kg/ms) air dynamic viscosity\n", - "speedofsound = 342.35 # (m/s) speed of sound\n", - "\n", - "magVinf = J*RPM/60*(2*R)\n", - "Vinf(X,t) = magVinf*[1.0, 0, 0] # (m/s) freestream velocity\n", - "\n", - "# BPM parameters\n", - "noise_correction= 0.65 # Calibration parameter\n", - "TE_thickness = 16.0 # (deg) trailing edge thickness\n", - "freq_bins = uns.BPM.default_f # Frequency bins (default is one-third octave band)\n", - "\n", - "# Observer definition: Circular array of microphones\n", - "sph_R = 1.905 # (m) radial distance from rotor hub\n", - "sph_nR = 0\n", - "sph_nphi = 0\n", - "sph_ntht = 360 # Number of microphones\n", - "sph_thtmin = 0 # (deg) first microphone's angle\n", - "sph_thtmax = 360 # (deg) last microphone's angle\n", - "sph_phimax = 180\n", - "sph_rotation = [90, 0, 0] # Rotation of grid of microphones\n", - "\n", - "# Observer definition: Single microphone\n", - "Rmic = 1.905 # (m) radial distance from rotor hub\n", - "anglemic = 90*pi/180 # (rad) microphone angle from plane of rotation (- below, + above)\n", - " # 0deg is at the plane of rotation, 90deg is upstream\n", - "microphoneX = nothing # Comment and uncomment this to switch from array to single microphone\n", - "# microphoneX = Rmic*[-sin(anglemic), cos(anglemic), 0]\n", - "\n", - "# OUTPUT OPTIONS\n", - "prompt = true # Whether to promp the user\n", - "verbose = false\n", - "plot_disc = false # Plot blade discretization for debugging\n", - "\n", - "# ------------ GENERATE GEOMETRY -------------------------------------------\n", - "# Generate rotor\n", - "rotor = uns.generate_rotor(rotor_file; pitch=pitch,\n", - " n=n, CW=CW, ReD=0.0,\n", - " verbose=verbose, xfoil=false,\n", - " data_path=data_path,\n", - " plot_disc=plot_disc)\n", - "rotors = vlm.Rotor[rotor]\n", - "\n", - "# ------------ RUN BPM -----------------------------------------------------\n", - "uns.run_noise_bpm(rotors, RPM, Vinf, rho, mu, speedofsound,\n", - " save_path;\n", - " # ---------- OBSERVERS -------------------------\n", - " sph_R=sph_R,\n", - " sph_nR=sph_nR, sph_ntht=sph_ntht,\n", - " sph_nphi=sph_nphi, sph_phimax=sph_phimax,\n", - " sph_rotation=sph_rotation,\n", - " sph_thtmin=sph_thtmin, sph_thtmax=sph_thtmax,\n", - " microphoneX=microphoneX,\n", - " # ---------- BPM OPTIONS -----------------------\n", - " noise_correction=noise_correction,\n", - " TE_thickness=TE_thickness,\n", - " freq_bins=freq_bins,\n", - " # ---------- OUTPUT OPTIONS --------------------\n", - " prompt=prompt\n", - " );" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "## *Step 4:* Processing and Plotting Results" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this section we process the data to add the tonal and broadband together, and plot the results." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### Read Data" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In this cell we read both the tonal and broadband noise solutions that we have previously generated:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "************************************************************************\n", - "*\tReading dataset temps/dji9443_single_bemnoise_00_psw00/runcase/\n", - "************************************************************************\n", - "Reading output file...\n", - "Found 360x1 grid in WOPWOP output with 1080 time steps.\n", - "\tReading field ObserverTimes...\n", - "\t\tReading time t=1 out of 1080\n", - "\t\tReading time t=271 out of 1080\n", - "\t\tReading time t=541 out of 1080\n", - "\t\tReading time t=811 out of 1080\n", - "\tReading field ThicknessAcousticPressure...\n", - "\t\tReading time t=1 out of 1080\n", - "\t\tReading time t=271 out of 1080\n", - "\t\tReading time t=541 out of 1080\n", - "\t\tReading time t=811 out of 1080\n", - "\tReading field LoadingAcousticPressure...\n", - "\t\tReading time t=1 out of 1080\n", - "\t\tReading time t=271 out of 1080\n", - "\t\tReading time t=541 out of 1080\n", - "\t\tReading time t=811 out of 1080\n", - "\tReading field TotalAcousticPressure...\n", - "\t\tReading time t=1 out of 1080\n", - "\t\tReading time t=271 out of 1080\n", - "\t\tReading time t=541 out of 1080\n", - "\t\tReading time t=811 out of 1080\n", - "Reading output file...\n", - "Found 360x1 grid in WOPWOP output with 541 time steps.\n", - "\tReading field Frequency...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "\tReading field Thickness_dB...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "\tReading field Loading_dB...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "\tReading field Total_dB...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "\tReading field Thickness_dBA...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "\tReading field Loading_dBA...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "\tReading field Total_dBA...\n", - "\t\tReading time t=1 out of 541\n", - "\t\tReading time t=137 out of 541\n", - "\t\tReading time t=273 out of 541\n", - "\t\tReading time t=409 out of 541\n", - "Reading output file...\n", - "Found 360x1 grid in WOPWOP output with 1 time steps.\n", - "\tReading field SPLTimes...\n", - "\t\tReading time t=1 out of 1\n", - "\tReading field ThicknessOASPLdB,re20mPa...\n", - "\t\tReading time t=1 out of 1\n", - "\tReading field LoadingOASPLdB,re20mPa...\n", - "\t\tReading time t=1 out of 1\n", - "\tReading field TotalOASPLdB,re20mPa...\n", - "\t\tReading time t=1 out of 1\n", - "Reading output file...\n", - "Found 360x1 grid in WOPWOP output with 1 time steps.\n", - "\tReading field SPLTimes...\n", - "\t\tReading time t=1 out of 1\n", - "\tReading field ThicknessOASPLdBA,re20mPa...\n", - "\t\tReading time t=1 out of 1\n", - "\tReading field LoadingOASPLdBA,re20mPa...\n", - "\t\tReading time t=1 out of 1\n", - "\tReading field TotalOASPLdBA,re20mPa...\n", - "\t\tReading time t=1 out of 1\n", - "************************************************************************\n", - "*\tReading dataset temps/dji9443_single_bemnoise_00_bpm00\n", - "************************************************************************\n" - ] - } - ], - "source": [ - "# Dataset to read and associated information\n", - "dataset_infos = [ # (label, PSW solution, BPM solution, BPM freq bins, line style, color)\n", - " (\"FLOWUnsteady w/BEMT\", \"temps/dji9443_single_bemnoise_00_psw00/runcase/\", \n", - " \"temps/dji9443_single_bemnoise_00_bpm00\", uns.BPM.default_f, \"-\", \"r\")\n", - " ];\n", - "\n", - "datasets_psw = Dict() # Stores PSW data in this dictionary\n", - "datasets_bpm = Dict() # Stores BPM data in this dictionary\n", - "\n", - "# Fields to read\n", - "psw_fieldnames = [\"pressure\", \"spl_spectrum\", \"OASPLdB\", \"OASPLdBA\"]\n", - "bpm_fieldnames = [\"spl_spectrum\", \"splA_spectrum\", \"OASPLdB\", \"OASPLdBA\"]\n", - "\n", - "# Read each dataset\n", - "for (lbl, psw_read_path, bpm_read_path) in dataset_infos\n", - " \n", - " datasets_psw[lbl] = noise.fetch_pswdataset(psw_read_path; fieldnames=psw_fieldnames)\n", - " datasets_bpm[lbl] = noise.fetch_bpmdataset(bpm_read_path; fieldnames=bpm_fieldnames)\n", - " \n", - "end" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Also, we need to recreate the circular array of microphones that was used when generating the aeroacoustic solution:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "pangle (generic function with 1 method)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Make sure this grid is the same used as an observer by the aeroacoustic solution\n", - "sph_R = 1.905 # (m) radial distance from rotor hub\n", - "sph_nR = 0\n", - "sph_nphi = 0\n", - "sph_ntht = 360 # Number of microphones\n", - "sph_thtmin = 0 # (deg) first microphone's angle\n", - "sph_thtmax = 360 # (deg) last microphone's angle\n", - "sph_phimax = 180\n", - "sph_rotation = [90, 0, 0] # Rotation of grid of microphones\n", - "\n", - "# Create observer grid\n", - "grid = noise.observer_sphere(sph_R, sph_nR, sph_ntht, sph_nphi; \n", - " thtmin=sph_thtmin, thtmax=sph_thtmax, phimax=sph_phimax,\n", - " rotation=sph_rotation);\n", - "\n", - "# This function calculates the angle that corresponds to every microphone\n", - "pangle(i) = -180/pi*atan(gt.get_node(grid, i)[1], gt.get_node(grid, i)[2])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### Pressure Waveform" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "In here we plot the pressure waveform at some of the microphones. **This pressure waveform includes only the tonal component**, as given by PSU-WOPWOP." - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", 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aNWqETp06ITIyElu2bEH37t3RsWNHbNu2LRC7QHiiMkaeO0a9BxKLxeJ5pcoedR8g+6q+3wUDojQd+zsU8p0gCKJqEZAI9j333IMnn3wSP/74I+677z7ZdQoLC7Fp0ya89tprSE1NxcsvvxyIXblr8TjC/A4U2Ha7HWfOnEGHDh1gMBiUV6zsyE8A7Hv0vQJubjxSUgKEhwekac3H/g6EfL97fScIouoSEIH9+++/Iz4+XnWdatWqYcyYMRgzZgyuX78eiN0gpLA/yJUhMquCyAPu2Ai2KpXd9199Bbz+OrBgAfDgg5W7LwRBEAQRYAKisjyJaym1a9cOxG4QUtjc38oQeVUl4lLZvlfGzU1l9/3rr/N/582r3P0gCIIgiAqgwq70qampSEpKwu7du0Uvb1mzZg0aNWqEsLAwJCYm4tdff1Vdf+PGjWjVqhXCwsLQrl077Ny5U3HdyZMnQ6fTYfXq1W6f7dixA4mJiQgPD0eNGjUwZMgQ52c5OTkYOHAgEhISEBoaivr162PKlCkoKChwrnPw4EH06NEDsbGxCA8PR6tWrbBq1SqRjcWLF6NLly6oVq0a4uLiMGTIEJw7d05r13gmAIPrvKICoqiaBv5UtsANkH1V3ytbYFcAqv7v3AmsWHHH9sPdPODtbvadIIiqS8CnSr98+TKGDh2K5ORk6HQ6cBwnmtrV5oXo27BhA6ZNm4a1a9ciMTERq1evxoABA3Du3DnExcW5rX/o0CEMHz4cixcvxsMPP4z169djyJAhSElJwT333CNad8uWLThy5AgSEhLc2vn6668xYcIELFq0CA888ACsVitOnTrl/Fyv1+PRRx/FwoULUatWLVy8eBHPP/88cnNzsX79egBAREQEpkyZgvbt2yMiIgIHDx7EpEmTEBERgYkTJwIAfvzxRzz//PPo0qULrFYr5syZg/79++PMmTOIiIjQ3E8A5PMRKzuKGmCBbTAY0LFjR88rVobvAX564NH3yk4RCTAe/Rci5127Ar16VcxOVRCaz/s7kLvdd4IgqjBcgHn00Ue5Bx98kLt69SoXGRnJpaSkcHv27OHuu+8+bv/+/V611bVrV+755593/m+z2biEhARu8eLFsusPGzaMe+ihh0TLEhMTuUmTJomWXbt2jatbty536tQprmHDhtyqVaucn5WVlXF169blPvjgA6/29Y033uDq1aunus5jjz3GPf3004qf37hxgwPA/fjjj5rt5ufncwC4vLw8uQ85rlMn/vX775rbLBc2G2+rtJTjFi922Q8Adrudy8vL4+x2u2thURHHnT7NcXa7y/YDDwTEviyXL3NcZibHFRe77B854nczsr6zrFwZ0L73iGC7Io+9nP1vvw2I/crEo+93MHez73l5eRwALj8/v7J3hSAIGQIewf7555+xZ88e1KtXDzqdDhEREejYsSOWLFmC6dOnIzk5WVM7FosFx44dw+zZs53L9Ho9+vXrh8OHD8tuc/jwYUybNk20bMCAAdi6davzf7vdjpEjR2LGjBlo27atWxspKSlIT0+HXq9Hx44dkZWVhQ4dOmDZsmVuUXCBjIwMbN68Gb1791b057fffsOhQ4ewcOFCxXXy8/MBADExMYrrmM1mmM1m5/9CWkpZWZnz6YBOp4Ner4e9rAxC7NRus0Fnt0Ov17s9RRDWly7X6/XQ6XSyywH3Ue16vR74/HPgzTfBdesGxMdDB0AHgOM4t/UNBgPsdjs4SbRVbrnTJ2a5zWbDxYsX0aFDB9c+DB8OZGSAW7YMegBCC3aHDz75JLPcYDC4+1RYCMPjj4MDYN+zx5mPZbfbYXD89eQTu1ztOAm+t2vXDsHBwW4+6Ww20bH32Sf4dpw41wL+3NPgk3Qf1Y5TWVmZ03+DweDmk9D3wlM0f597avvu1++TzHIAIt/vBJ+0nnvsd144tre7T2rLWZ/KyspAEETVJeACu6ysDNWrVwcA1KxZE5mZmWjRogWaNm2KM15MWX3z5k3YbDa3AZG1a9fG2bNnZbfJysqSXT8rK8v5/9KlSxEUFIQXFGb3S01NBQDMnz8fK1euRKNGjbBixQr06dMH58+fF4nf4cOHY9u2bSgpKcHgwYPxwQcfuLVXr149ZGdnw2q1Yv78+Rg/frysXbvdjpdeegk9evRQFPIAn7f92muvuS0/ffo0IiMjAQCxsbFo1KgRrl2+jFiTCQBw+exZVK9dGwkJCUhNTRXlizds2BA1a9bE2bNnUcpMUNKsWTNER0fjxIkTootEmzZtEBISguPHj4v2oUOHDsD//odSkwnYtw95ffqghskEo9GIgoICXLx40bluWFgY2rZti9zcXFy+fNm5PCoqCs2bN0dWVhYyMzOdywWfrly5gpycHDf/BZ9aOWzovv0WRgClJSUoCwrCBce++uKTxWIRnbvCzZfUp6isLDQHYLVacfq339Dc0fc5GRloAGj2qU6dOpqP08mTJ2V9qn3tGhLsduj0+nL55OtxslgssFqtgF6Ps8ePe+WTluN08uRJp/9yPrUymaADYNTrA3bu+dsnrcepffv2It/vBJ+8OfcE7iSftBwnuT4gCKIKEegQeffu3blvvvmG4zg+ZWPw4MFccnIyN378eK5169aa20lPT+cAcIcOHRItnzFjBte1a1fZbYKDg7n169eLlq1Zs4aLi4vjOI7jkpOTudq1a3Pp6enOz6UpIl988QUHgHv33Xedy0pLS7maNWtya9euFbWdmZnJ/fHHH9y2bdu4Nm3acM8++6zbPqWmpnInTpzg3nvvPS4mJsZt/wQmT57MNWzYkLt69ars5+y+5OfnO19Xr17lAHDZ2dmc1WrlrBYLZ586leMWL+ZsmZmcvVMnzt6pE2c9epSz2Wwcx3H8esxLabnwGFZuud1ul1/+4INOm7b58zm741G93Pocx6f9aFku7CO73Gw2c8nJyeJ9cNi2v/IKb7dTJ87+t7+VzyeFfXdbfuaM06Y1Pd3V94cPa/ZJ7XiwywXfzWazy6fUVM42bBhn3bmTsy1e7LJfHp98PE7O49Ctm2afvDn3WP/lfBLsc99/H5BzT9Wn4mKOGzOGs/33v+X/Pskst1qtIt8rxCd//kaU49xjv/N3ik9aj1N2djaliBBEFSbgEezZs2fD5IjcLViwAIMGDUKXLl0QHR2NL7/8UnM7NWvWhMFgcKuZff36dcWygPHx8arrHzhwADdu3ECDBg2cn9tsNvzzn//E6tWrkZaWhjp16gDgoxUCoaGhaNKkCa5cueJmLz4+Hq1atUJMTAx69eqFuXPnOtsAgMaNGwMA2rVrh+vXr2P+/PkYPny4qJ0pU6bg22+/xU8//YR69eqp9ktoaChCQ0PdlhsMBv5x8blzwKFDAAD9qFGuz/V652A/pcEyflkuebzJvpdbX6kigNblYWFh8vviWE/Hf+j2uT98dfPJ4a8OgIF5vGxw7Iu3vnral7CwMBgMBmc/G/79b+DPP4G5c4GhQ/3jk4d9VFquc63glsagdV88LRf8V23f8bg/EOeeos2LF4ETJ6C/eROYPNnz+l4ut9lssr77su++nnuBWK71OAnf+TvJJy3LaZAjQVRtAl5O4eGHH8awYcMAAC1btkRqaiquXbuGGzduYMCAAZrbCQkJQadOnfDDDz84l9ntdvzwww+4//77Zbe5//77ResDwJ49e5zrjxw5EidOnMDx48edr4SEBMyYMQPff/89AKBTp04IDQ0VlcsrKytDWloaGjZsqLi/wqNENj9abh32c47jMGXKFGzZsgX79u1zinFfcP74snl6bA6hr+XK9u0DNObNAxBXr6iAKiJt27aVv/CwF6qKqoPN+ssehwCUipP1vbAwoDY9cuUK8PXXYt8DVMFF9dhXdvUcq9V9P/yIqu93OHe77wRBVF0CGsFOT0/Hvn37YLFY0KtXL7Ro0QIAZEvhaWHatGl45pln0LlzZ3Tt2hWrV69GcXExxowZAwAYNWoU6tati8WLFwMAXnzxRfTu3RsrVqzAQw89hC+//BLJycl47733APD5bLGxsSIbwcHBiI+PR8uWLQHwuXCTJ0/Gq6++ivr166Nhw4ZYtmwZAGCoIyq4c+dOXL9+HV26dEFkZCROnz6NGTNmoEePHmjUqBEAvn53gwYN0KpVKwDATz/9hOXLl4tyv59//nmsX78e27ZtQ7Vq1Zy54tHR0Qj3coppZ64ge1Evr8DOygJmzuTfaxXZFSiw7XY7cnNzERMT4x75YUX1HSiwZX1n7VRGmb7HH+f/Fhe7lgWo71WPvSBwgcoR2MKxD5DAVvX9Dudu950giKpLwAT2gQMH8PDDD6PQEUULCQnBJ598gieffNLnNp988klkZ2dj3rx5zmoeu3btcg5kvHLliuhHtnv37li/fj1eeeUVzJkzB82bN8fWrVtVBw3KsWzZMgQFBWHkyJEoKSlBYmIi9u3bhxo1agAAwsPD8f777+Pll1+G2WxG/fr18fjjj2PWrFnONux2O2bPno1Lly4hKCgITZs2xdKlSzFp0iTnOv/9738BAH369BHZX7duHUaPHu3VPnOCoGKFFSs0fPlxZgcTcpw2scTa8ccFobQUcDwSlsJxHC5fvuw8Lor4eiHmOMBsVrQvu76AxeJ6H4ALo6zvrP3KvBizg8ACFHVTPfbsjeUdGMHWdN6rfG9uZzR/5+9AuMq4aSYIQjMBE9ivvPIKevbsibfffhthYWGYN28epk+fXi6BDfD5yVOmTJH9LCkpyW3Z0KFDnZFmLaSlpbktCw4OxvLly7F8+XLZbfr27YtDjjxnJaZOnYqpU6eqrhOQH0x/ijxWUGsV2P7kyBFgyhRg0iRgwgTvtvVHisjixcDmzcD//gc0b+55/QqMYHu0X5kX48p4esByh0ewPfLNN8CCBcCrrwKDB1fOPhAEQdxlBOxqc+LECSxduhSNGzdGnTp1sHr1amRkZCA3NzdQJgk5lEReeQUXK1q02i+vwHCk/uDdd73flhV2voqszZv5v+vWaVuf9deffa+Vyk4REWD7uzLyRtlztTIEfmUL7AUL+L8y5TwJgiCIwBAwgZ2fny+avjwiIgJGoxF5eXmBMknI4c8oKitOtApsf6aIaBBHUVFRnrctr8jSKlb9HcH+8ENApfKOm+9VJUWkgiLYbv5/8gmwfr04RaQyCHCKCKBy3lcF9uwBli8PmP9V2neCIO5aAjrIMSkpyTnJDMDnIR88eFBUaL9///6B3IW7FucIc39GsFlxpFW0+DNNwYM4MxgMaK6UulEZaQpsH7HpOb70w/XrgCNHH8OGuUXhZX2vigI7gFVERP7n5gJvvcW/79nTtbwyxHaAI9iq531VQJh99957gb/9za9NV3nfAwhVESGIqk1ABfY//vEPt2XsYD256WcJ/+AcYa4ksMvb776kiARYYNvtdmRlZSE+Pt69ogD7f3lFnlY/2D4u7wDTkhJxuxIfZH1XShHxJX+e44A//gCaNPF+sJw/+t5kAtLSgNatZffdzX9H7X0AlZOew/ZXgCPYqud9VSIATy9vG98DAFURIYiqTcB+kUpKSjy+TOxFkPArzgGT7I9weaOo7DaVEcH2aIpDZmam/GBRf0ZRfRHY/qwiInNzI+u7UgTbl+OwZQswahTAlJXUjD/6fvx43v6ePbIfu/mvdN5XlCjZvp3f3+eeq5AqIornfVUiABHX28b3AHA3+kwQtxMBE9jCDIOeXkSA8WcesFJNba32yyu2y5Pa4c+0EF8Etj/Tc8r79MCXY79pE/83JcX7bf0RwT5/nv/77bfa1q/sCi7CgNgTJyokB/u2ICjgEwcTBEFUGQIisH/77TfN65rNZtEsiYSfURJ5vlzslVIe1PBnFNVfAruiHiVr7ftffwWeego4c8b7dtVQGmAqtb9mDT+Ft9ox9VffS9spKQHGjgU++sj39uVg+4idTVXq+7FjwPDhvBBWguOAOXOAefO025erIFORAnvnTmDECCAz07WsMiqosFRGzrDFAkycCKxdW/G2CYK4qwmI0njsscfw6KOPYvv27bCwj2cZUlNTsWDBAjRr1gw///xzIHbjrkYnXEz9GUVl2ypvBLu8VUxkP9YhNjbW5bvSthUlsFnBqpae89xzfIQfdrJdAAAgAElEQVRWob47AHF/yQhhWd+V+lva9+vW8TNz/vSTsv3yoNb327bx4vadd8ppQuK/1tSo/fuBCxcAmRr6Tm7eBHbv5kUrOyulGnLHK0ACW/bYz5sHnDvHV+8QqAyBy/5OBMC+6nce4FOKUlKADz7wu+3KRtFngiCqBAF5Znf27Fm8+eabmDp1KrKystC2bVskJCQgLCwMt27dwh9//IHs7Gw89NBD2LJlCzp37hyI3bircQ74UcoD9mWQoweR53GbAAtsvV7vnJrezUZllOnzNge7oEBbWzJ97+Y7oF1gC7CRXn+iliJSWuonExL/tfa98JlCIMBtG63nrVwEW+68+eMPfvDmoEHKbVksfGpMt25AQoLbx7LHXoAdHCt3Y/ndd0CjRvzgUX9y5AjfBx07upYFIEVE1XdA+w3RbcjdNqiTIG43AvINDQsLw8yZM3Hp0iXs3bsXQ4cORb169RAREYEOHTrg9ddfx5UrV0hcBxDnCHNWjPkzgl3eFJEARPPsdjvS0tJcvrP7W9kCO8DpOW6+S+1oSc9R86s8febPCi4KuPmv9PTAF4HN4kt6jrAvHOfexyNHAnPnAmppdQcOAIsWAW+/rWBK5tgLsFFjaQT52DHe9siRKo74gNnMP4154QUgP1/Zvh9Q9R3Q/jt1G0JVRAiiahPQUSc6nQ49e/ZET7YOLVEhOEeY+7NUnC8pIuKdKp99DyKP4zjk5OSgfv36/AKlfZQTeRYLEBysTUhWtsCW8cvNd36h/HtfcuEDlYPtJ9z8Z/tbLQdbENbs+lJ8ubFUm8VTrg8uXRJHe1kEkarwhEP22AuozaLJzEfgEYsFCAnRti5bHaqwUH5fvGnXZuP7TSYCruo7oH5cOY7/XKtfvqLkoze/OTJQFRGCqNrQM6Y7Ha15wFrwpYqIWi1mb/H2QsTuo1K6CMBP4tKrFx/N8yf+LNPHHsfyVhFh31dEhE8tgu3teaB1faUnN9K+Fz5Ti2CXV2Cz2/hyYypsryYWlVCLYGvtyzVrgO7dgVOntK2v1F9S33ft4tvdsUO5Lbsd+PvfgSFDyv+9kTJzJtC7Nz8pUaD4/nvex2++ES8vKAAeeACYOjVwtgmCqFRIYN/p+FPklTdFJMARbDeUBLZU5H39Nb/url3a2vVF5LHvKyo9R0u6iNa0IV8mppHbVi1FxJ8RObaPyhvBVhLravjSx0oI2/tyM6QWwdbKunX83zff1LY+u59sjr207195hf/76qvKbZlMwNWrQFYWP9jUW9SO1/79/Offfed9u1r5v//j/y5YIF7+00983xw5EjjbBEFUKiSw71Bkq4hURopIBZbp0+l0qFOnjst3pehZZU+VHoC+d/Md0Jb/Hqga0Ur7qyawtQhIhfPGzX/Wr/JGsH15eqAlgq32VEXOvoJt2WMvoCawA5ViwPalmsDWgodtZH0vKuJz1lNStN0QqfV9cbGrLX/ih+8aVREhiKoNCew7FNkqIlVpopkADNDR6/VISEjw7LvaNOpaqIyJZjRUERH5LrXDbs8uL29lGSWU7Kn1tS8pEM5mJf4rRbClfa9lkKM/BbZS36uJJaFfFPpH9tgLsHnLagLbn8ee3U+2iokv33kPv1myvq9Zw0/0M3GituOlFtlfu9bVlj/xQ39TFRGCqNpU6DeURj1XHDbhB1xrNYWyMuD0afmL4IULfFSovCkiStE7gM+DvHzZffuyMn4CFrvdY+TZZrPhwoULLt+VBK6UQF2oKrCKiJvvUjtKy9n9UhOZ3kbLlKK2ajnYWgS2ws2Jm/9ac7C9TRHxZwRbq8D2EMGWPfYCWiu4aK2iogV/RrDZ46L1vP/zT/ntWZRSmKTI/SZ5wmzmyy+q3UhrfZpnNvO/fzLryB5vgiCqDAEX2BzHYdmyZWjatCnCwsKQmpoKAHjttdfw6aefBto8oTWK+p//AM88A3zyiXh5Sgo/093Ikb4JbBa1Mn39+wNPPAHcuCFe/u9/A6NGAZ9/rknkFbCVFnyJICuJAF8GaFbwIMcCaZUJpcGMSqLWnyJLa/67Uh/5gMh/rVVEKiJFROncY/dLTSx5ENiAzLEXYPtbWoVDKZpeXlh/WYHtiyBUSvVhcPNdy9gHtSda5eWFF/jfy+3blW1ofRr48sv879/Wrf7dR4IgAk7ABfaSJUuwZs0azJkzB0HMD3yLFi2wlqavDTxaI3nffsv/ff998fKdO/m/V6/6liLCohbBFvjjD3n7GgW2oj0139mLn9LEJ77kj1elGuRKfc8KK3+KLK2VMzQIqHLb11IHu6Ii2L70fXkGObLpDwG8uRERqAi21vND6Xix9tmbGzWB7cs+HzvG/9282bUsOFi5XbW+//VX/u/Gjd7vB0EQlUrABfa6devw3nvvYdy4cTAwP/YdOnTA2bNnA22e8DZNQbqcrWNb3jrYStEkLe3GxpYvTUFrBFkqsN94g5/KXC2PV4nypogUFQFjx/JPFcor8iozRUTt5qIiBL5aecqKjmAriTwt9n0R2GoVXFj7/ry5qcAUEVmUjhf7HWD3S+37XJ6BoGzt69BQ8Wfe3jDTgEaCuO0IuMC+evUqWrRoIfuZOVBTMxPyVUS0iEypwFUS2L5c7JVEHjsQSumCVqOG+H+Z9XQ6HRo2bChfRUStTJ6SIDCZgM8+46NI0si6Fso7yPH994ETJ4C33tJURUTku9ROeQW2tygJXOm+eyuwVaqIKB57LfYrapCjLxFsDVVERL4rPW2RpoiwNv35W6yUIhIAgS173nsbwfbnec/C9rd0ohml81MJmSg7VREhiKpNwAV2y5YtcfjwYbflW7ZsQfv27QNt/q7FYyUNrdNlswK7vCkiShd+VmArXfikEWyFigI1a9aU913t5oK1yQoCVlT7cjFTsn/xIp+f6Ulos6XBNFQREfkOKAvsfft44Q4o5yoD/A3G1q18qbLypOewvhcX84/OhZrGagLq/HkgKUmTMHPzX0nAXLrET/ohtFnRMzkmJbmmRfc2RUSliojId6UbCquV73thnIO3EWyt54DS9ykAOdiy572WtDitvpcngs2mhUgFNtsvWgS2TN9TFRGCqNoEdKp0AHjllVcwadIk3LhxA3a7HTt37sS5c+fw/vvvY8uWLYE2f9fisZKG1miS0qDB8uZgs+9Zgc1Os8xOLGE0ii8yNptbeS2bzYazZ8+iVatWfDqSVt+VBMHJk/LLy5sisnMn/zIYgAcfVN6eTaHSUEVE5Lt0P9lthAlDkpPFF3ep0Bg+HEhPB3JyxH2vNN03i5LAvXyZryv86ae8eFcSmSYT8NRT/PtNm9RtQcZ/pcj8N9/wL5sNeOyxwEWwlY7XkiX836NHtYs8DVVEFH1nz/XUVL7va9XiJ1cJVHpOoMr0yfSR7HmvJLCVUkQCFcFWSxFh7Ws5p2TENFURIYiqTcBvgf/+979jw4YN2LRpE4KCgvDSSy/h8OHD2LhxIwYNGhRo84TWQY5KKEWwfUkRUUrTYC82RUWu99evu97bbGJRp2C/VCliJo3eKz0eVxLYapUolPA0A+Avvyi3ZTYrC2SFC2up0gBNpW1KSpQj2Nev8+IaAI4f99yWmj05369dc/+MPSbCoFtA8wx+pUqiRU5ACTPoKUWwS0t5uxzn20yOnsoPms3qAregwHVzq2GqdJHvnvKWs7PdbUqf8GRnu++T1gi2Wg62FjFrt7u+FxoGObqd90o3RBaLq121FBGlGu7eIo1gK/3mSPtezk9KByGI246ACmybzYZff/0VXbt2xYEDB5Cfn4+ysjIkJydj8ODBgTRNCPhTYAcqB5uNWhcXu96zJfusVk0CW9Ee6/uFC8Bf/gJ89RX/P3uxYyNuSgJba+TIk8jMz3dfLmzDRq+jovzb9wK3bikLGLYCQuPG4u202NeaY6oUQWerJqgNUvTVflGRWMix62RmAn/7GzBwIDB3rn8j2AKFhcoia/Nm4IEHgH79gL17xRFsLf5r7Xsl+y+8AAwaxL+Uyv+poZSDvXo10LMnH0lXIieH91uYPr28VURYv554gn8qwnHi/ZI+XerRA/jhB222tHLhAtCnD/Dxx/z/ShH06dP5p1r5+eLtSWATxG1HQAW2wWBAr169cJOJQNHAjApGSx6yWj62t9U+1FCqg82KWlZgsxFs6cW1vCLPagVef51/LxfBNpn4yW+ky7XaBjyXQcvLc18u7IsQPRbsBUJg5+YqR9XYyTqk9ry9udEqsIX3NhufKy3gS3qOp8GbhYXi5Var65w8ccJ1Tv7+u38HOSrZZ98nJ7vaOHVKeaCeEkoRZLX12L4XSsPl5wNpaZ7tqbUrTRGx2/mZFpVm9zx2jBf1333Hj1UobxURdl+Kivg2S0uVBe7bb/Pb/+tf/L56G8FWeuokRO+FcRXsd01Yj+OAn37ib3zZGtoACWyCuA0JeIpImzZtcPXq1UCbISR4NchROrhNuOCwF0fp9uUVeW+/7apxzdpRShGRikypYPzoI+i3bkWzZs08+y5FTpCwtqXrBDKCLdhhxb0n348dg/7119FMabpspX3OzVWOEErts/gzgi1n/9Yt8ToaKlHo9XrxsdcSwZa76QLcb+wCIbCLipRzsHNylO0rDPQT+a42cJVFzn5Ojnjf2b4vb4qIgDQ1iT1n2Rvs9es1DXIU+Q6I+0vOf7WnB9Wru94fPiz+ndRycyMnnFkE/+Ts5+W5lmVkiLejQY4EcdsR8G/o66+/junTp2Pv3r24desWLBaL6EUEBtkyfUopImyKBuASuazIAnxLk2BhLzg//QTMm8fvk1IEOzNTvK2SaLl2DXjnHegWL0Z0VJS870rCyGaTj2BLZ5QsbwRbTmDLRbC1CGyp/UmToPv6a0Rv3Kj8hEhun6UCm+0H1r5SGosaWiLY0pxcwY70vNPQ9zqdDtHR0Z7L9AkUFSnf3EhTk/xZB1tATeSxNxhWq6ZSdSLflVI0pMhFsKU3llpKaErxZN9kEi9nhSLr+y+/eBTYbr4DngV2UZFyBJu9wf/lF+WItBKezlXh900uRYU976RzRMh8r+lpMEFUbQIusAcMGIBjx45hwIABqFmzJsLDw0UvIjB4rCJSWAhcucK/lwpsIe9aTegI7RYU8JUhTCY+z1ANuQvOhQvKApt98lFWphzFdew/B+D40aPyviuJvMxMsV/CvkiFhpzvdjtfys9mA86dU46IKtmXpgkALkHA9r1UiMr0IwfgBuu7FCWBrZQDLRX4aiIzK8s1cE5uHaWnB1KRK3dzAaiLFo4Dzp2DraQEv/32m8t/TykichFsOYHtawTbkzBTSxFRi2BL27p+HbaMDLHv7DpKAttikbcvvbGU/jZoQSlFhG1TaTCy1HcNVUREvgPeR7CFdoXBnXJ+SNtVQlpHX4pcBFuwz/7mnD0r7jsZMU1VRAiiahPwMn3fffddoE0QaiiJvK++4l9vvcXXmGYRBLa0eoPc488BA/gLRHAw//ftt4Fu3fjPpBEvuQvUyZPudZIB/mInVJoQtlW6iDLl+jj2oqQlReTKFflH2lKhIef7W2/xE9GEhfHb9ezJD+SSs690cdaSIqJkXwKn9ghbzv/cXCAuzt1GaalYHKiJvJIS4OGH+fe//uqKRnoSOQCfIlPeCPaOHcD8+dB16QL7+PHy68kJbItFue+lqUm+CGwWpQi2Ug40O8BNGsGW3jg89BD0AOxr1ri3BSj3vTRFpaIj2NKnYXY7f+6wEWwNAhsA7NLzXqnetYDS04O8PHV7WgZZsv6yA8QF5CLYcjc3Fkv56/ATBFGpBFxgDxgwINAmCDU8RRJfeQVYsUK8TLgwSB9TykWdpJNg7NypLLDl7J88CTRo4PpfuABlZbk/GleKYDPv9UqRXjWBrSVFRE7gfvaZeJuDB8XbKFVNUWqX/d+X9Bw1AaQksNmcUyWBK316wPardCCo0ei+jlLfSwW2LxFsRyUY3dGjgJLAVhKZWiPY5R1g6k0VEWn+uZrAZwScQXpDJKDku1Tgy6UpAGKBrdV3TznY0gi2YD80VD2C7UvfKwlsTwJXsO9tiUa2XfZpnEBRkXIVE6l9ti9IYBPEbUfABfavwoh0Bbp27RroXbi78SQO8vPFFSMA14VbmO1PQEMUVdWe3AXqxAl+4gsBIQfy8mXxenI52BYL8OKLAJNqpFMajKgkcJUEtjSSp8V3KVoe4UrFpDci8+OPgUOHXMu9HZCVmwvUq+f6X/BRi8grKwNeekn89IMV2FpqCUsHeXrj+5kzwOLFylPYaynvJhXYgqBin9x4Ss/ZuRPYsAFYtkz8NEDNDuASWtJ9lLu5URJ5zHKd0jpqAltO4KuliEj78fp1YOZM4B//4Ev6SdsClFNE5AZWh4aq559L7e/eDd1nnyF4xAh3GwLepIhIfRd+Y9h99ITSgG0Bu5237SlFBBALdF9uLgiCqFQCLrC7desGnU4HjrmYsIMzKI8sMMhW0lASXeyU3ICrRvDp0+LlUpEp1563pfwyM+VzsIX866Agl8BjLzI2G7BrFz8jHkOLhg3lfVfi5k35OtjCxdZolH+krQUt68lVK+E49UoaQj+8/bZoldgaNeSraCiRmysv3tjImbBceuOUlMQPAvO0j2pII9jCNloE9pQpbjWa27Rpo72KCOAugCwW1+QynuwLzJvH/1250jVLoxS570lhoXgiEqUnF2qDHJlzsiV73msZ5KiUoqKWIiL1feVK/jdi7lyxwPaU/261ykewAfG5JxW4Uvtz5kAHoM327dArPSmV63ulQY5S3z3Zl0Np0iyW4mJtEWz25kamH6mKCEFUbQL+Dc3MzERGRgYyMzORmZmJK1euYOvWrejQoQPlZ1cEWkSedFKDwkI+ql1SwgvM6Gh+uTRFRO7i7a3A5jjxhchs5i9kQgS7SRP+b1mZewRb5gIW7K39sjL1CLYQ4fWlioiW9dhKKQC/L3IVLjRE0PXSqeQ9kZMjn68rF8GWCmy5AVxKA9eUKE8EW2YClBB2amotfS8dY1BW5hI5MTGu5XIiMzXVVWYSEH+HtOQqK6VoeIpgC+/37+drRjsQnfdaJpRSEthS/+X63mQCtmxxf8okbUsNuQi2NP9cal/hSYReLtdZDWmKiDSCHBbG//UUQT92zDUjqNz+KlFcrC3/nf19k57PNpv4/CMIosoR8Ah27dq13ZbVq1cPERERmDVrFvr37x/oXbgrcQ780SJ02PqrAH8BOneOf9+6tSuaLI3iyj3+9WUyGulFtbjYNdFK48bA+fPyIk9GRJ0/eRIt7rkHBoNBm32LxV1gWywuAVenDm8/UBFsadTKYnGJLCHdQpqzqiAeb964gVi7nfddawRZqRYywM8gWVAgnyIi55svEWw5oSH4HxHhHu1Taff48ePo0KGDdv+llU8sFtd3oW5d137I2R82TLyt0oRMShQW8tNns7YBl0293jVttrTv//wTmDFD1Ny548fRskUL3nctucJygxzZKhqC/+yNlLAfr78unspeihb7cgJbemMHqKeoOLiVk4PqwnmvJTXKU3pMQgJ/A1VWplxlx2oFJk3i3+/bx39XAG0CW64GOse5BHbt2vx7NkVEetOyaZNroiyCIKokARfYStStWxenpSkIhP/RKnRYyspc0ZOYGH7AIeAuNAIpsIWLi5Djq1Fg67zNlTaZxOKotNTlu07nGgSotV2hogqgXWixmM0ukRUb6+obqX25msAcxy/XenMBiC/i0gh2XBwvsOVSROT6wGTilwcF+RbBlkZx4+L4GR21Cndvq33ICWzBdq1aLpGrxb4ghoODtdkuLAQiI8W2AZf92rX5pxtyKSLsLJ8OdEpCUImCAnfxWFTk2vfatfkByOx3XGhXTVyzvqghN4mV4LtwYwcoC2z2vfT764nCQvkUIvaplSCw5Z6wWK3i701BgUtgy/0mytmX+sKK/rp1+X1Ru7nwMLaJxWazoUzLOUEQhEeCg4P5m3kNBFxgnz9/XvQ/x3HIzMzEokWL0L59+0CbJ3wV2MKFKjzcJRilUVy5NAFfKi5IRWZRkesCJqSnyNXBlmlfz15ItIg8aZpJSYlrmdHoijJqTX944AHg8ceBl1/WZl9aaYCN5NWoIV/WS6HvjWfOQN+nD5+b3bixZ9uA2H+hXJoQwY6L46eWlst/l/Nt8mQ++rdpk/YccDbiKM0/lxPYKn3a4tlnoRs2DJg1S5vIlArssjKX77Gx/I2CxaJNYKekAH/5C7BqFdC2rWfbhYXiAaJSgR0XxwtsuQi2TB/olWaFVCI31302V/bJhTBwWE5ge0KLwJYb3Cv8Dgk3dlL7Qj8sWaKcHqHFdmGheHIbaQ503boue9IcbLMZ+Pvf5fPnAW0CXzrGwWJxifvq1fknN4D4t0Ha9xqqinAch6ysLORJn1ASBFEuqlevjvj4eI+TPQVcYLdq1Uq0E8Jgxw4dOuAzocwZETi0iDypWGOj02FhrotJIHKwAXeBbza77Fer5tonaQ62TPs6b1M5pOK+tNR1YYuI4EUWoH2wU0kJ8MUX2gW23EA7VmALTw+kEWylCUCsVn7g3bp1nm17si+kd8mJPKU+yMgATp3yLfdfiKIKYkKwr/Hpgb60FLpNm3iBrUXgS4WHtO8FgS0VeUpCs6wM+Ne/gK1bPdtWqmQhiP74eOD33937WnosHOi9jWDLDWRlfRe+83IpIp7QYl8u/13wvWZNIC3N/SmZ0O6mTeJtpTcKnigq4iuWCAg3doLITUhw2ZP2a3Ky+7gJVgj7IrDZ3P+4ONdvjlqKiIYBjoK4jouLg9FopJkfCaKccBwHk8mEG47va506dVTXD7jA/kNSRkuv16NWrVqoztbf9YI1a9Zg2bJlyMrKwr333ou33npLtdTfxo0bMXfuXKSlpaF58+ZYunQpHnzwQdl1J0+ejHfffRerVq3CSy+9JPpsx44dWLBgAU6cOIGwsDD07t0bWx0X0pycHIwYMQInTpxATk4O4uLi8Oijj2LRokWIcjw6PHjwIP71r3/h7NmzMJlMaNiwISZNmoSXX365XP4p4VUlDQE251ZOYEuFjtzj0NOn+QjTpEnabUsHrLGPYL2MYDdNTobu00+Bhg3Fk74ooSawIyNdFztvB/C9/bZ7mUM5pAK3tNTlV3S0y74GgW0UcrZv3AAWLvRsW86+xSKOYAPyKSJqj8K15kBL+55NEzAaXTnoGlNEnP6/8w6f3uCLfWkEG3AX2ErVIQDedy0CUy4PmONcQksYXCuX/y4j4pqeOAHd++/z3ztfBDZ73JV8V2t35UogMRHo0UNbFFkuPUfwvXZtV6qNhhzsmLw8YOlSYOxY7RFsaYlENmVGiGDLCWy59rds4WvgP/us7wKbzb8Wfm/lItg5OcC77/JPllSw2WxOcR0rnUiMIAifEWYgv3HjBuLi4lTTRQIusFu2bOm2rFTLj5AMGzZswLRp07B27VokJiZi9erVGDBgAM6dO4c4mRq0hw4dwvDhw7F48WI8/PDDWL9+PYYMGYKUlBTcc889onW3bNmCI0eOIEGIXjB8/fXXmDBhAhYtWoQHHngAVqsVp06dcn6u1+vx6KOPYuHChahVqxYuXryI559/Hrm5uVi/fj0AICIiAlOmTEH79u0RERGBgwcPYtKkSYiIiMDEiRN98k8T3gjsyEiXwGZTRJREnlKN202b+IuYwy+vKStztS0IbLkcbLnz6PRp5drIckgjXtIItlz03m73PJjq44+12ZcTuILwi45WfnogI7A5ux064cbq8GHf7Usj2HJ97ynX1BeBzeZAx8Yq+65QpcPp/0cfebatZF/wPSZG3r7VKj9Dn4DWmwubTV7gC0KLFXnSCLacwE9O5tNUevTQniLCIhe9B7QL7PXr+Vdysm8RbDZNonZtZfsy33nObIZu82Z+8OesWZ5tS0sksrZjYlzpMVJb0qcZAtu383+7dNEmsOX6nvVd+G7LCey5czXlXws5186bToIg/IbwvSorK1MV2AEv07dq1SpsYh7pjRo1ChEREWjSpInXgxxXrlyJCRMmYMyYMWjTpg3Wrl0Lo9GIjxQuqG+88QYGDhyIGTNmoHXr1vj3v/+N++67D29L6genp6dj6tSp+OKLLxDM/vACsFqtePHFF7Fs2TJMnjwZLVq0QJs2bTCMqSJQo0YNPPvss+jcuTMaNmyIv/71r3juuedw4MAB5zodO3bE8OHD0bZtWzRq1AhPP/00BgwYIFrHW//UsP/+Oz+JivQxvBrCoCstAlspB1vg/Hl+MhBvEC5srMAWBg9JRZ5CFZMSH2/enLDRczZFRCrE/TVoSC4HWzhmbARbKvJk+t4n36X2S0pcqRNqKSJys9QJ5OS4T14kh1QoshHsmBh53wHFm0av/Zc+OWGjuGoCWy2CrdfzKTJakH438/Jcx1UQ2Gaze2qUjMB3+n79Ov/d89a2NIJdnhQRLWkaagI7Lk7ePnt+MDh9P31am225mRw92QZ4/+UqnQgUFAQ2RYTjvBrcCIDSQggiAGj9XgVcYL/99tuIj48HAOzbtw/btm3Dli1b0LNnT0yfPl1zOxaLBceOHUO/fv2cy/R6Pfr164fDCtG6w4cPi9YH+Knb2fXtdjtGjhyJGTNmoK3M4KSUlBSkp6dDr9ejY8eOqFOnDgYNGiSKYEvJyMjA5s2b0bt3b8V1fvvtNxw6dMi5ji/+AYDZbEZBQYHoBQC6xYvBPfEEuBs3IMT7OJkXu9weHs6/dwhcDoAtJAT2oCB+ueNCzwGwl5XBZjLJtskB4C5dAjd3rkebouXVqvE28/Kcy2yOAT9cWRk4m821rxYLUFwsboOJbHpll/2/rAz2ggL+vdEIu17Pvy8tFW1jy8/3vm255YxPHH9AwTn8t1WrBrvB4FrO9n1hobgdh+8cx6nadXtJ+tCWlcW3odMBNWvyyxnbHABYreBkjr3T5syZ4Hbs8NwHRUWi/xYzePkAACAASURBVO1mM+wO4WWvXt3pO+c4F4V2bJLt5PxXeon2hfEdDvtcbi5vIzoanCMyIdh37qNDnMq2n5MDbs4cbeeB47vq7PvLl/n3UVHgIiNFvovOT5lzz+n7rFng9u71fO5J2uAcEWwOgD06WtT3znbsdtgsFnWfHJVsPJ532dni866kBPbr1/n3jhQVDhCdZ3ZHnrjccQcALjgYNkl/ye6jzQYwvzGc3Q57ejq/flwcbMJ3XnJ+2EpLYb95U9Enm14Pu8pvorAv0jZQVgYuK4tvo2ZN13de+t109L3TJy311gmCqDQCniKSkZGBhg0bAgC2b9+OYcOG4ZFHHkHLli1x//33a27n5s2bsNlsbnW1a9eujbNnz8puk5WVJbt+ljBwDMDSpUsRFBSEF154QbaN1NRUAMD8+fOxcuVKNGrUCCtWrECfPn1w/vx5xDATUgwfPhzbtm1DSUkJBg8ejA8++MCtvXr16iE7OxtWqxXz58/H+PHjffYPABYvXozXXnvNbXlJaiqCHQIhKCgIoSEhsFgssDJRqODgYIQEB8NsNsNms6HIZEKkyQR9YSHCg4NRWlKCa5mZiMrLQ6TJhNDQUAQZDCgxmVCUlYXis2cRZzIhPCwMOr0eJknEx2g0grPbRZFFnWO5zWaDmYk26XU6hEdGwpqRgasnT6K2yQTodMjKzkZTAGVms6jUVFFWFmqXlLj5JCD4JBASEoLgoCCUlpTAzlyYBJ+KbTbozGbYbTbknDmDBnY7YDTicno64kwmPrLLcU6fzvzyC5o4/FX1KTwcVqsVFiZ302AwICw0FGVlZSKfgoKCEFpWhqKMDOhNJqRnZyOmsBBRZWUIYXwqzspC/unTaGS1uvlUUlIiOk7sJVjLcco4dAgJJhNsUVGICg2FzWZDaW4udI6+1Ot0CLdaUZqTAzvTjqpPGs49ACjJzETYtWuIBJBts6EkIwO1HDXAQ4ODnT5dPHQITR22BZ9KHEJQ+Ov1uRceDlNWFnSO6OL5a9fQzGJBNQBlBQUoc9grzsqC/c8/EQ9o8gnwfO4JxynzwAHUMZkQ2rgxdHo9Sk0mcBaLcxp0o9EIS3ExclNTEcWce+GOx5UlzBMdj+deSYnoOHG3biEyKgoWiwXXCgpgKChALZMJwTYbQgwGp08XDhxAc5NJ0Sdrfj6iLRbP557jr3CcUs+fR+0//4TBZELarVtoGxTEn3s3bzr9N9+4gZjcXDefBCx2Oy6dPIn6jrZVzz2TSXSccn/5BfFWK4Jr10bqlStIMJmc+ygcp8sXLyLs3DlES849waf0P/5A1JUrqA2onnumS5dgcGyj1+kQbrHAcu0arCYTruTlodqNG6hpNiOsuFj0fTqXnIy2FovTpxIt0XqC0EifPn3QoUMHrNYydonQRMAj2NWrV0dGRgYAYNeuXc4IrU6nq/TanMeOHcMbb7yBjz/+WDHkL0zY8n//93944okn0KlTJ6xbtw46nQ4bN24Urbtq1SqkpKRg27Zt+PPPPzFt2jS39g4cOIDk5GSsXbsWq1evxv/+979y+TB79mzk5+c7X1cdk8KEh4fDaDTCaDQ6Z7gLCQlxLjMajc50mNDQUBiNRtRq2BBGoxFhQUFASQnCwsPRpE0b1KpTB0aj0ZlrFG40omZMDBrWqsWPTnfk/bJtCzlKOr1etEwQAwaDQbQ8LDwciIxEUFAQGtWowS+vWRONmjUDwF8U2fVrOUrYsT4Jgw9Yn4RXkOOxaxjTL6xPEY6R9pEhIWgQGwudXg9dtWpo2LQpv65jO8GnNg0aaPMJ/IWeXR7qqGAg9SkkJASwWhFptcJoNKJpp06IiYtzO041a9RAk/h4kU+C7+Hh4aLjxLav5Tg1jYjg+6F+fcBR7zOC6cuw8HDAakWY42ZDk08azj2j0YiYqCgYHaKhVsuWaNCkCf9ZWJjIp7b16rn5xPrv07kHIKKoiF8WHY323bohwpH/H8z4WrNGDcQ51tfik5ZzTzhOTRx9Z4iPh97RRgRjAwBC9HrUlvFJ+p339tyLCA4Gbt1CSEgIGnXs6Ox74SZd8Kmd47dAyaeo2bOBvDyvz72mtWqhmqOfW/Xu7Tr3GP+rR0YCubkin9jvfIjZjJbvvOPTuVeX43if4uLQpGVL2ePUKCEB8UxbUp+aHT6M2o60OLVzr5rdLj5OZWUIycuD0WhEi169kNCwIX+crFbRcbo3IUHkE+v7ncTo0aOh0+ncXhcdAztHjx6NIUOGqLZx6NAhPPjgg6hRowbCwsLQrl07rFy5UnTj261bN0yePFm03dq1a6HT6fCxZAzN6NGj0atXLwDAxx9/rFikQafTOYsflBc1O3cSffv2xQcffIC0tDTR8Q4JCUGzZs2wcOFC0dOa+fPny54frVq1cq7Tp08f6HQ6LFmyxM3eQw89BJ1Oh/nz57vZlHtJzwVvCHgE+5FHHsGIESPQqlUrZGVlYdCgQQCA33//HU2EabA1ULNmTRgMBlyXTCd7/fp1ZwqKlPj4eNX1Dxw4gBs3bqBBgwbOz202G/75z39i9erVSEtLc5ZhadOmjXOd0NBQNGnSBFeuXHGzFx8fj1atWiEmJga9evXC3LlzRaVcGjvqE7dr1w7Xr1/H/PnzMXz4cJ/8E/ZFuGiy6HU6SG8ZlLKGhOU6tiReSQl0AAwREeKSVo71dTabtnxHDzZFhIfzbQs5rhERMDimLXbzxW537qNzmU6HCKP6oB7FPqhWjc+NtNmgE6JskZHQsbPtMRhM7jnQnvpXdXlICJ9nWVYGnSN1wMCWS2PW10lKJOog77sv2Zc6Ry6ormZNIDhYvg2r1dVH0u2V2tWwXMfkuOpr1pSfTAeAQSYHWsux97gvQh5sbCwMQUHOGuiifbTZnLmx5TreMst1wgQy8fHiWR5ZbDbX94NByXfN+1JWBphMfP/GxbnNMCqsb5DkILu1c/Soql0ldI4gDIxGGKKigKAg9++8zQbk5vrvO8++F3K7a9SAQeb3FAD0drt7aUe2DQ2Dq2X3xWSCzvH0wRAbK/q9Zdc3pKWJluvv4PzqgQMHYp2k1GitWrU0bbtlyxYMGzYMY8aMwf79+1G9enXs3bsXM2fOxOHDh/HVV19Bp9Ohb9++2LJli2jb/fv3o379+khKSsLo0aOdy5OSkvDMM8+U2y9CTG5uLn7++Wd8+eWXzidwe/fuRdu2bWE2m3Hw4EGMHz8ederUwbhx45zbtW3bFnv37hW1Jdz0C9SvXx8ff/wxZjEDn9PT0/HDDz84NVn9+vWRyZTdXL58OXbt2iVqO1ootOADAY9gv/nmmxg9ejTq1q2L77//3lm2Li0tDZOEqWY1EBISgk6dOuGHH35wLrPb7fjhhx8UU03uv/9+0foAsGfPHuf6I0eOxIkTJ3D8+HHnKyEhATNmzMD3338PAOjUqRNCQ0NxTpg6HPzI0bS0NGfqixxC5NusIkLtdrvzc1/8U8On7DxhggN2kGNYmGvQDYtSHWxfCQlxiQphAJbRKG9b2EfJQDsOgNWR0+w1wmBK1j5bRUSKWiUJXxBEgtnsGnzHVhFhkRlgWi7fWYQbPLaShBQtVUR8ga0iwg5ylCIzcNcv/gupY0Lal5x9T4McfUE4xteu8X/ZKhpShFn/GMrlu2BbqYqIFOkAvfIiRGEdT94QF8dPoiJ33ssMciyX73q96zdHOKYhIep9r8X/xx/3bj/Y37HQUGX7ktJ8d3IGdmhoqDNgJby0zJ5XXFyMCRMm4JFHHsF7772HDh06oFGjRhg/fjw++eQTbNq0CV999RUAPnJ67tw5Ucrojz/+iFmzZiEpKcm57NKlS7h8+TL69u3rlQ9JSUnQ6XT44Ycf0LlzZxiNRnTv3l2kJX7//Xf07dsX1apVQ1RUFDp16oTk5GQkJSVhzJgxyM/Pd0ZS58+fD4DXFNOnT0fdunURERGBxMRE0f7m5ORg+PDhqFu3Lv/UqV07tyflxcXFGDVqFCIjI1GnTh2sWLFC9PmCBQvcKq0B/Pwlc+fOlfW3c+fOWL58ufP/IUOGIDg4GEWO79a1a9dETyIAvvzxfffdJ0qNjY2NRXx8PBo2bIgRI0agR48eSElJEdkKCgpyOz9q1qwpWufhhx/GzZs38fPPPzuXffLJJ+jfv7+zKpvBYBC1Eel4is4uK8+TooAL7NDQULzyyit49913RfWcZ8yYgeeee86rtqZNm4b3338fn3zyCf744w88++yzKC4uxpgxYwDwFUpmz57tXP/FF1/Erl27sGLFCpw9exbz589HcnIypkyZAoA/kPfcc4/oFRwcjPj4eGd5waioKEyePBmvvvoqdu/ejXPnzuHZZ58FAAwdOhQAsHPnTqxbtw6nTp1CWloaduzYgcmTJ6NHjx5o1KgRAL6+9fbt23HhwgVcuHABH374IZYvX46nn35as38BRxB5rIBiZ3Jk8bfIYi8sgoAwGvmyZ3Io2Fe7oVGFnbZaiFKxdbCl+FtkCX2fl+eqGsFWEWFRqCLis++Aq58Fgc3WQpazr1ZFxFeUqohIUaiM47P/gh0halujhng5i6cyfb4gPAYWori1ainf2CnY99l3ITpTVOQ6p9QEtrT6R3kR7AtRJCFKqVFgA+XwPTzcJbCF8zkkRLnv2ZsQNWRK08oi3NSz36XgYGX7Fy5oa1cJjuN/MyvjVUEDMnfv3o2cnBzZAgqDBw9GixYtnGKzR48eCA4Oxv79+wEAZ86cQUlJCcaNG4ecnBxcunQJAB/VDgsL8ynQBfDppStWrEBycjKCgoIwduxY52cjRoxAvXr1cPToURw7dgyzZs1CcHAwunfvjtWrVyMqKgqZmZnIzMx0+jRlyhQcPnwYX375JU6cOIGhQ4di4MCBuOA4P0pLS9GpUyfs2LEDp06dwsSJEzFy5Ej8ylSgmTFjBn788Uds27YNu3fvRlJSkkjEjh07Fn/88QeOOp5IAXxhhhMnTijqkd69ezuFPsdxOHDgAKpXr46DBw8C4G9e6tati2aOtE8A+Oabb/Doo48q9l1ycjKOHTuGxMRErd3tJCQkBCNGjBA9Cfn4449F/R9oAp4i8r///Q8xMTEYMGAAAGDevHl477330KZNG3z66aeoJ0yooIEnn3wS2dnZmDdvHrKystChQwfs2rXLefdz5coV1wQrALp3747169fjlVdewZw5c9C8eXNs3bpV9s5MjWXLliEoKAgjR45ESUkJEhMTsW/fPtRwXIjDw8Px/vvv4+WXX4bZbEb9+vXx+OOPix5N2O12zJ49G5cuXUJQUBCaNm2KpUuXiqL4nvwLOEIEW2mqdBa12QR9gY0csRFsnY5fLh3IyDyq9wtyAjsiQrmOuL9FlpCeIwgY4eJfEX0P8H1dWFg5EezISF7gWSyu6H1MjCuiK8Wb0pNaqF6d73dBqDnSkhT7Xlrerzzo9bz/2dmuc4otjSln35/nnuA7e8Oo9NQK8H8Eu3p1/smB0KdCtEjp5kZGYLsRH+96GqGG0ej6frMCW8n3W7e0lefUmjcbHc37Ldg2GPjzQcm+JIrnNaWlgCOPuMI5cMB1bDXw7bffIpL5TR40aJDbmCc5zjtKVLZu3Vr281atWjnXiYiIQNeuXZGUlIThw4cjKSkJPXv2RGhoKLp3746kpCQ0btwYSUlJuP/++2VTMbXwn//8x1ktbNasWXjooYdQWlqKsLAwXLlyBTNmzHDmDzdv3ty5XXR0NHQ6nShF9MqVK1i3bh2uXLninLNj+vTp2LVrF9atW4dFixahbt26ohuMqVOn4vvvv8dXX32Frl27oqioCB9++CE+//xz/PWvfwXAR3ZZLVavXj0MGDAA69atQ5cuXQAA69atQ+/evRVTe/v06YMPP/wQNpsNp06dQkhICJ588kkkJSVh4MCBSEpKElVWM5vN2LVrlzMyL9C9e3fo9XpYLBaUlZVh4sSJGDVqlGidkydPis4PAHj66aexdu1a0bKxY8eiV69eeOONN3Ds2DHk5+fj4YcfdrMZKAIusBcsWIC33noLAHD06FEsW7YMS5cuxXfffYeXX35Z05eGZcqUKc4ItBT2MYnA0KFDnZFmLaQxeW4CwcHBWL58uejxB0vfvn1x6NAh1XanTp2KqVOnerSv5l/AYVNE5GZyZFGoQ+0zoaEuO8LFVojqyglsi6VcOeBuREbyYp7jxAJbScj6O4ItRPIEgS1Et7yIYJcLQWAL4q0iI9jVq/P9WVzsurHzIYLtMzVqiCOzQlRTSWD7U+CyaUhClE8tislOJe8PBDEoPDXR6Xihp2RfMkak3AjnPStwAeUItnQGSDleeAFYvtyzGDcaXeeb8Fet74UnDJ7QmrMZHc2nxkh9VzrvVfK/7zT69u2L//73v87/I4Rrk0a0ljDs06ePU4MkJSWhT58+AFzR2DFjxiApKQkTJkzwyj5L+/btne+F3F9h7Ne0adMwfvx4fPbZZ+jXrx+GDh2Kpk2bKrZ18uRJ2Gw2tGjRQrTcbDY7Z+y02WxYtGgRvvrqK6Snp8NiscBsNjsHFf/555+wWCyiqHBMTIzbpIATJkzA2LFjsXLlSuj1eqxfvx6rVq1S3LdevXqhsLBQVIK4T58+zoGGP/74I2bMmOFcf9++fYiLi3Mrj7xhwwa0bt0aZWVlOHXqFKZOnYoaNWqIBiy2bNkS33zzjWi7KDbN08G9/8/emcfXcL1//DP33tyskkhkJRKxJASJpdb6JkpRqvi1tdZSVbS0tmq1+KL9qqKCokVbfFtfS9VaawlarXQLqX2rtUhCqCCJJPee3x+TuZk7d2bu3GXujeS8X6+8yNzJPOc5c+bOZ555znMSE1G3bl18++23OHDgAAYOHGiRq60mqlu6cuWKaTBs2rQJzz//PN588020b9/e9PREKSfw84C5m7hUBNvZOdj8qJlQYHt4WNqSEDl2T/zhHiSKisxTRKSWXlYrgs3PvwZsEtgOTXry9zcXT76+bDRNq7WM4ufnW1/J0hYCAthoNf8c8xf5ESIhNOz2n0sJ4eDGuytysL29LSYRy0ZRne27MNrq4SGdAw0AIkEMh+Dscw/rciKTNxmJj4XvVapI9x8fHx/LcSyXIlL6qlsWftqJNbhrnC/u+f+KwU06VxLJF+LlxUaS3QH3Vkghvr6+ZqkESuG0xunTp9GmTRuLz0+fPm1WsKB9+/aYOXMmrl+/joMHD5oiv8nJyVi2bBn++usvXLt2DU899ZTpb/z9/fHw4UMYjUazN+b/lF6bwklx/MXruGpl3Byt6dOno3///tixYwd27dqFadOmYd26dejVq5eofw8ePIBWq0VGRoZFTjoX0Z07dy4WLlyIBQsWoFGjRvD19cXYsWNFS1vK0b17d3h6emLz5s3Q6/UoLi7GCy+8ILl/YGAgEhMTcfDgQaSnp+Ppp5/Gv/71L/Tp0wfnzp3D+fPnzSLY27Ztw3PPPWdxnKioKNO5r1+/Pv766y9MnToV06dPh1fpOOIqjChh6NChWLJkCU6dOmWWJuMKVM/B9vX1xZ3SL4O9e/eayvT5+vrioRp5nBQA9lWQMEWw+QJC6nW1tZUcbUUqRQQQt79uncUmBmy6jl2+8wU+Fy2Xm+TIW53UKQifvjnhIeb71asAb+IG4KDvgKXIlBM6q1fba0UcYcSPe1Uu1ffff2+xySH/hSJTLop67Rpw7Jg9VsQRG2MeHqz/GpGvZ0HUBnDQd2HfW4uiAuxYFYkWmRg0CFCa52iP/SefNP1X1PcqVcT7ToiPj3jfWxPnbdtKf6ZU3APSvssJ7IQE0/FtPt8Mw36fu+PHRRVPOnXqhKCgIItJewAr6M6fP49+/fqZtrVp0wZ6vR6ffvqpKXcZAJ544gncunULK1asMKWScMTFxaGkpASZmZlmx+dymIXRZWvUq1cP48aNw/fff4//+7//M+UM6/V6s7KCALsitMFgQE5ODurUqWP2w6WS/Pzzz+jRowdeeuklJCYmIjY21pQWAwC1a9eGh4cHfv31V9O2u3fvmu0DsBMJBw8ejJUrV2LlypXo27ev1Ql/ycnJOHDgAH788UekpKQgKCgI9evXx8yZMxEREWHqG0IIvvvuO9n8aw6tVitZ+14J/fv3x/Hjx9GwYUOzhytXoHoEu0OHDhg5ciSaNWuGkydPolu3bgDYCQVyVTgojuFQFREuOstFslw9yZH7UpET2CIQsEvb60RKfFlFLBVGLorqbLgItvB3V/iu1Zadew5+NE3tBS2kBK4Nfe+Q/7Y8XDgbsYgn376Cm4pDvtvycMHRvTuwb590Lrqfn/I0FnvsDxliiiaL+l6livTkaD4+PpapTno9K865dDEhoaFA164WD7gm/PyU2QbsG/cNG5rmJlTkKiLWuHfvnoXADQ4ORlRUFJYtW4a+ffti+PDhGD16NPz9/ZGWloaJEyfihRdeQO/evU1/4+3tjVatWmHRokVo27atKSqs1+vNtvOj0AkJCejUqROGDh2KefPmITY2FmfPnsXYsWPRp08fVK9eXZEPBQUFpjbVqlULf//9N37//Xc8//zzAICYmBg8ePAAaWlpSExMZOuk16uHAQMGYNCgQZg3bx6aNGmCW7duIS0tDY0bN0a3bt1MKRGHDx9G1apVkZqaiuzsbJO49PPzwyuvvIKJEyciODgYoaGhmDx5slk0nmPYsGGmfPafpcY8j5SUFCxatAghISGmvPKUlBQsXrzYLFU3IyMD+fn5eJL3sMyRm5uLrKwslJSU4Pjx41i4cCHat29vlgJSUlJiVv0FYN8OiM1Xq1q1Km7evGl2Dl2F6hHsJUuWoGHDhrhw4QLWrVtnqmWZnp5uU240xQVwgpYTuFzkQWxgZmcDV644z7ZYeSp+iohC7H3KdbvAFkYEubQBG+zb7btYFFWJ0HEWYmkKgLzv//qXRWqF3f5LpYjI+f7ee/bZEuLrKy2w5ewPH272q5nvtWoBY8Yosy/V93K269aVj0gqjSB7eJhPLgasi0yNho3i8rA477YIbLH0HG5itRj161s+DNtjG7CMYCvp+5gYZX1bwTl48CCaNGli9sOtaPzCCy/gwIEDuHr1Ktq1a4e4uDjMnz8fkydPxrp16ywWlWvfvj3u379vyr/mSE5Oxv3790XL861fvx7JyckYMWIEEhIS8Oabb6JHjx6iqzdLodVqkZubi0GDBqFevXro3bs3nnnmGZMfbdq0wciRI9GnTx+EhIRgzpw5ANjJhoMGDcKECRMQFxeHnj174vfffzet5zFlyhQ0bdoUnTt3RkpKCsLDwy0W5pk7dy7atWuH7t27o2PHjnjyySdN0Xs+devWRZs2bRAfH6+okke7du1gNBrNUkFSUlJgMBjM+nfr1q3o2rWraD50x44dERERgZiYGAwfPhxdu3bF+vXrzfY5efIkIiIizH7kAraBgYE25/E7A9XVQ3BwsOigmzlzptqmKbYgFqmWq6bgzBxcwHySI4eNEWyHkBLYrnrqFQpsVwpcPz/5KKraCIUGJ3rkfB84EMjMdE503dYIdtWqQIcOwIcfOm5bLIJt7QHjhRcAufzDqCi2WsTChdbt+/ubR2uVnHeuVrUUVaoom6MgF72XOvfh4davCaVRZDGBzRe5YlH46GjLhwI+Sh8uAPvSY2rWVC7gH1OsrZy3atUqq/u0a9cOu3fvVmRv+vTpolUlpk2bhmnTpon+TWBgIBYuXIiFMtdYSkqKxWTLpKQks23WVnL+7LPPzCZ7AmxO94wZM0xCXEhQUJDV1ST9/Pzw9ddf4+uvvzZt409A5CCE4MaNG4pLKgcFBZnyyzl69uxp0Q9bt27FlClTzLbFxMQompwqdb74iBW84CN8+2HLsW3BJY/Cv/32G4YNG4annnrKtGz6unXr8Msvv7jCPEUJYpN7uHwrazmBHGFhbGTRHuQi2HI3HBvKPMoinMzJvSqWs12/flndXkeREtjWorjOwN4ItkQpLJsR+q4kgm2tdGVMjPLJZrZMcuRsW5u0JfLqUxR7ItihofL2uQmqShDmISvte3sj2PztIqvEWvVdeL1Xq4YHSUmWx5Cyzz+uVAQbkPa/Zk3zcnN9+wK8KhEoXYVSEfa8OakEAptSPrh16xYWL16MrKwsp67FUVRUhOeff960qndFRnWBvW3bNiQnJ+PRo0c4fPgwCktnTOfk5OA///mP2uYpShETuNxNXOqGER0NzJpV9nuHDkBqqvPsWxPYc+cCglnISlb7EkVY+1dJisZ//wvIlFSyCVsFdocOgOBJ2ybf+QJJaqKdnP0PP7R9xTophPaVPFyIPNiY+f/++8CwYeJ/K1xaWypNQU7gWhPvCxZIP4Dw/1asSo81oRUWZlFT2Mx3b295Ecb3XygylTxYhYRYF9hS9vl9LVVBBZA+96VlzjhIYiLyZsywbI+UfX56h1wEm2+ff76EAnfUKID/NtZa9Jz/mtqe3H9bBDyF4gChoaF4//33sXz5ctOaH85Ar9dj2rRpqCKXalVBUF1gz5gxA4sXL8bXX39tlmT+5JNPIiMjQ23zlRabJzuJlQaTW/QBYG82/JuP0oihGGIpItbsh4WZ3SAZAF6ensp959sTpogoudnxl1q2FbHSYnysCR1HfecLNLkItsK+txl+vwmjqEpEnuAzC//lRKZwJrytUVRrKRIcUlFUvsCVi2DL9T3vMwvfrUWw+SJXqu/lxr3wAUXs+HJ9z31mTwS7dHEN7u2Npn9/1K1bF4zw1bJSga3k7QG/v2rWBLhJbHo9+73BF81yq88C5g/SQUHitq0J6JEjAQBM167y+1EoDkAIwa1bt9C/f393N+WxRXWBfebMGdF614GBgbirZNlZil0ommHOFwn2pIg4KrD5IkAsgm0tF1cg8owrVuDWzJnKZ9fzhZZQYCudZMjt16ABsGsXoHRBAv4rfg8P2yN5giiqccAAZK1Yodx3vn17UkRCQ83b/L//AV99cCvuLgAAIABJREFUpdS6ed/bk6YAmI1f486duNu/f5n/Pj7SIpM/TsUWVbFmv1o189979AB27rTcT0po8QWZPXnIoaFmvhn37UPOxx+X+W4tgi0UhGLXsLU8Z37f7t4N8PMp5VJEtNoyga40gs0XpVwE++OPgd27YWzUCDdu3LAc90oFtjDVRsx/ftnS4GC2zQcOsJVUuNJ3fLtyDzd8XwIDzb+DlaSIAOzDxc6dME6YIL8fhUJxK6oL7NDQUFy6dMlie3p6OmrVqqW2eYoc/JuLmMBVW2Bbs29N5FatamaTBAbipnDFR6X2ha/qraXHcHD29Xr21bnS3FfhTdnWCLLwNT0huG7LCn98+35+9olMvjiqWtW2fHRhmoLYOLJBYJPgYPzDr8suJzL550ins13gCiOPACt65ezw4QtceyLYoaFm6QXEzw83+PVy5R4uhPbtFdhNmpTtV62aeV/7+0v3vU5Xdu7lIth83/kRZK7GsEYDVKsGQghuii1AI+W/tRQRzi7ffml1BgBlY65KFfEqR1qt/LjlT2xUmp7DjTd+Xn9oKIiLaktTKBT7UD2Z6+WXX8bYsWPx1VdfgWEY5Obm4ujRo3jrrbfw9ttvq22eIoeXV1ktazGRJ1dFBGAnHDkqsDlRJBZBtyawNRrzG5SHB4gtaQt8gS3MwVYqsjh73P4Kl+g1sy0nsJWKPDG7w4YBmzcDubmWnylNEZGyL6w6o9ebi6rnnmNtCMoridq3NYKtZFU4Ly/5KCqHmMC2Zr90SWITUudcicD29havxSxn38uLTZWYPJkVbAwDo3A8yQls/jUiFNhK3x6MH8++Qercmf2dL/CFY4GP0gg2fzz4+gJz5rCrWCpd3U+q/XIpIjpdWb/x7T//PLv4lYIyZdBqLX3X6coWr+Ii2Nw17+VluZKjsO1LlwJ79gADBli3L0DpkuEUCkU5Sq8r1QX2lClTUFxcjNatW6OwsBCtWrWCTqfDm2++iXHjxqltniIH/6YsVjHDmsCOjCxbcc5otL2knJzABZSVaxOIPKMjAtuWFBEuYsndoG3NR7aWpmBNZCkReSNHAkeO2CewlbyuFqYY8X1KTARSUpQLbFsi2FwFEWEEj98HHh7KKlnY83Aj7HupdkqJTGEONn/BFv4KjtauJ245ZYMBhN9/cnWcuc/5bbElgs29pfDzA0aMMG83//hyfc9dd0oj2L6+AG+pakXw7XPfT4B8BFsotjkCAgClazaIPVzo9ZYC29eX7SdrEWyNhq1r/tpryuyDOwR7jPz8fKur71EoFNvILw0MWlu8RnWBrdFo8MEHH2DSpEk4e/YsHjx4gEaNGjl1VipFhGrV2BXH0tOBixfF9xF+8QpXMJOaZBgYyC42wU328fRkI+HczeLDD9kcyd69gW++Ae7cEbdvT4qIVsvaHzzY4nCMpyeqcpOgACApCTh1Sno1PGFKiJIqIjVqsFH3999nf+eniAipWxc4f17ctlKRJ7Rfpw4rEmJiLA4ZLBR+Qjt8hCkiQsSiaZGRbG1g3lLDJjw9zYWFnMgCLCc5KhF5jRuzq9hxlWt4QpFhGPjxI8MM43iKiLDv27RhxTBXHWTkSGDTJulqJUoj2FJvgfj2W7QALl0SFXoMwyCYn55jre+Feb9K3h6MGAFs2ACILEENAOjYEVi5km0nYPmWgBOY9kawJV1hEBwcDLJwIZjp04GpUy3tc99PgHwOtlg/cO20Rv/+wMGDbD6+sO89Pcve1HEpItwx+fbFxp3MMuPCBVP4aLVaBAYGIicnBwDg4+Mjuz+FQrEOIQT5+fnIyclBYGCg1cpdqgrs4uJiVK1aFb/++isSEhLQtGlTNc1ReDDffst+mY8dy6YJiC2Kwb+JcF++Hh5lglQqgv3ll2yJPv5xCgrK9uvUCXj6afaYr7zClrL67TdL+8Kbi1SKCH97nTrA6tVl7eXdNDSenoipXZs9VlER8NZb7MIUHTta2hb8rWQEW9imfv3YBwfub7n9uH/5RfbXrJHue/6FKZa3KSUyly61XH0P7GSKGBHRLSm0hJMc+Q8hHh7m44EjJoZdvETsRi38ohF7Vc6HH2328TH3X0rkvfgi0KWLqH2NRoMQ4eRDpSkiSvLPNZqyhVs4+8OGseNbSrgomeQozMEWS9cA2CWylyyR9N3s3NsisAHxKKqw7wcOZP2V8tXHh33Y4D4XClwxga20ioiMwDb5HhMDfP+9uH29vkxgCyuo8O3z/y+MoFtj/Hhg3DjWvvCBnn9O+RFsoU0x32XSocSWtuYTHh4OACaRTaFQnENgYKDp+pJDVYHt4eGBkJAQi5V9KOpj5ASM3M2WfxPi9tHpym4QXJRFGOETCgehyOTsWrNvbwSbf5PnV5LQaHD18mVEh4aCuXGDjeLL3YT4Ik9YJlAqgi20z0UOOXHXrBnArVxq7VU5/5hSAlu4Xfh76RsHY/PmrO8QlGhUEsH29bVMrxCzJ/RdZmlaxMfLl7Lj2xNGkeV85x/zueeAVauAxo1hNBpxs1o1RILnv5K+VzrJUa8X94e/rVMnVuRx5dPsqSIiFUUNCpLsT6PRiKtXr5ad+4YNxdMUuOtaeBwlJRKV5L3zjyusEMTlmWu17EMvIF7q0dokRwGc7zVr1jQXnEKBzz9+SAhw9y6b6iPV98IoshLExL3wd26hHC7NyVoEW6bfrd1XGYZBREQEQkNDUWzLBGgKhSKJh4eH4jUnVE8RefvttzFlyhSsXr26UhQWLy+YJeFLCQ3+Fzl3cxC7sQjPm/B41vJ1lQhsuRxsocjjw68kASA3NxdR8+ZBe+8eK3qFE8ikYBhxgS13swSAZ59lxU/z5uzvTzwBLFpUlsKh5OHGFoEttL9jB3DhAkiLFsj9809YSF6lKSL8Jcel0hSEtsPC2LcZ/PGxaROQk8MuwCOVmiOGmNARjieh/REjgEaNgKZNQQhBVlgYwj/5BFpb+l5ukiPfvpIKKVOnsiK7VStL+3yBy8/BFqYHSfW9WOWSUggh7LjfuBHa7Gy2ZKRQUMkJbGuTHG2dWwFYRpD520eMYFNJ2rQxf+PD31dhBNvke1SUMvs6Hfsm4P59NposlYOt0L4ownHH/z0piX0TUrcu+7tYiopYqpoISidaabVa+xfgolAodqO6wP7qq69w8uRJREREoHbt2vAVfFkdPnxY7SZQlETyOMQEtjCCJPyy5m4SUjcDJQJbr7fcT2rSDx+xRS9iYsraaMurcjGBzU0Y47/iFrYxJcV8W+vW0u0V285VfdBqy6oxKBXYoaHsD/d3XA49FyVUGsHmT7RTEtXjSEw0/71mzbKyZkrfHgjtcPbFqjEI/yY5mf0/53/LlmV/J1fJgqN6dfOJunz7fHtiZfiEeHubjwVhFJUTuPzvQE9Pi0o4ov+XEdgmatQoe6sg9F3uYUGs74UTIW1FTmD7+5edN+E4kJrkaCvChxv+9tjYst+lcrDtiWBzyL250WqBtm3LfreWImLPww2FQikXqC6wU1JSkCIUIBTXYmuKCAd387EmsF96CTh0yFJsWbMvTBHh32z5r+TloqjNmgHdukkvWa60LrXQjjAfU0pgW0OpwAbYm6k1gW2lfJrxyy+h/eILNvdezj5fNAhrgMuliNiC0Da/H4WIpYhwExW5PhHmWNtinx/B1WjYKOb//seWuuM+58qliQkd7pW+I/Y5dDo2n/mff1hBfO2a9H4cSgQ2H6HI4x/r1VfZsnNdurC/Swl8DkcFLv/4Ym+g+OfGxhQRSaTSLMQekMX+z4+s2+M/H2E6FB8xgW/toZZCoTwWqH71zuJm/FNcitmMcSWRPDExy335cyXY+AKFz3PPsT9SKBXY/Fq6UhOOhL5oNMCMGawLRiMiIiLMfbc3iioUHZz4ckRk8iu0CFNEhHakcmFlKgpERESACQ8HPvlE3D4f4Y1dKk1BuIiGLYilIkgJbCmBzx8T/AU/LEwx8ueeP3lXq2Uj3fy6xnyBLfaqXkkEW4iUyNRoTMtdm2yL/Z+PjMAW9V3Y9/xzFxAApKaW/S517jnsiWBLPVyIjSF+dN+OKiIWvttiXypFhJ/epCT/XClK7Ct8qKVVQSiU8o3LHo9PnDiB06dPAwAaNGiAhIQEV5mulJhN+BHe6Ll8WzGBLVWeys+vrNyes6K4QoHNv6nxb3bCVQ8lzWgQyS/TJ2dbDCW5sI74rteX9b1UBFtoX26SoZkZEd/F7IvlAYeFAVlZZb9LRdBsjSDLpeAMGAAcOwa0a2f5mZTIlIlkivovTNHg8vHFxoS1iX72CGy5NAkp2/z/85fo5i+xLUDy3Ctpl7BtzhLYUm+DlPa9whQRSd/lcrD5SEXv+TnstnyHiMF/kFcisIVzBCSwVkWEQqG4F9UFdlZWFgYOHIi0tDRTwfvCwkK0b98eX3/9NSIiItRuQqXEwI/8SQlsYXQVkM49VChyRZGyLxTY/Ney/BsPX9zI3FQMBgMuXryI2NjYskk9wv35KQdCpMpjOSKwhTd6sYcb7v9iK0kqtC3qu5h9TmDrdMAPP7B9ISyRyBckN26U/b9nT0n7iuD78sQTwM6dZaJdKmrOISMwAQXn3prIszbRz5kpIkqjqPfvix9LgOS55yM36dla3zszRcRayoPYw43Mg5WicS937pVEsJ2J0L5Yigj/wVSmvwxS32MUCqVcoPoj8LBhw3D37l0cPXoUDx8+xMOHD3HkyBHcu3cPr776qtrmKYD5l7pUPqJcighgfpO1NXIidbOVq4PN/4wvbqzcoPP4k/UA+VflwrcoUikicjmc1hCudsjB75NGjSztc/vy+91KJNHCd2v2fX3LhKuUwOYWE9LpZFM0FCFM3wgNFV+1UCyKquBB3MJ//rmylupiLYpqj8BWKvKkIthi51MC0XPPRy4P2FoE29mTDJXsa0MVD1Hflb49UBLBdhS5hxspgc9Bc7AplMcW1a/etLQ0/PTTT0jkTYBLTEzEp59+imRuJjlFXaRu9GKTHKVSRISlxZxhX/h/qRQRhRFsRfBzcYcPZwUmtwyzWAQZYNMY1qxh/+9oBJtDowHWrgX27StblVJs31q1gDffZFfxs+d6cTRN4eWXWYHzwgu225ZDLooqJjRsSYEQs2FLBFvMvqM52HJ9L2WbH8F2JkrK9PFxZoqI2PUjNl/EmVVE5OxLCVxX1Y2WqmLCQQU2hfLYovrVK5UbyDCMopVwKE5Ayc2G+yKXShFxRGDzb6ByAl/qpsyPHjr6WpRv08/PfLKZlP0+fcoEtq2vjqUiyFotWwuXq4crhF9JY9Ag22zyURpJlIogBwWZ95EjyOWiWitNJqxzrARbJtpxn3Ml+wDzGuoiq2faZF9O5EkJbLVSAJQsNMPHnvULbOl7scmZjgpsqYd6pTnYzkwRkatXLbbQDB9av5pCeWxRPUXko48+whtvvIETJ06Ytp04cQJjx47F7Nmz1TZfaZGspsD/Qtdo2OV9g4KACRPYbVJpGnyBbWsUWepmFxwMNG3KltoLDJRO0eDn3+bmSpphGAbR0dHKZ9fLiUy+/erV2VKEkZFsW21BaZoAYJ6DLjXRTwJJ35WkBwGuqb0r96pcSuT1788+YFl5yBD1X6nA5dvn227alC2j17WrfW9O5N5e8JGKIH/4IXtdfPihrBlF415O5EkJ/MGD2cg994bFFmzpe7F28x8urFQREfVdad9L1e5XKwdbiLUUEVpFhEJ5bFE9gv3mm2/in3/+QWJiommSY0FBAfR6PcaMGYMxY8aY9r3Bn1BFcQjZKiIcOh1bzaF/f+s52I4IbKkItk4HLFtWto9UBJn/9zICW6PRoJq1ShdKRZ7wxjt2bFltaVvgt91aHrBchNcKkr4LS9WJbRd+ZqO4twu5KC6/LePHsw+BVsSEqP+25AFzn/P38/QEvv3Wqm2ZRonbVxrBbtYM2LvXPt+FKBXY/L5/4w1g9Gj7/LeliojY8fkri8os9CLpu5K0OOFn/D5yVoqItb5zIEWEVhGhUMo3qgvs6dOnq22CIoJsFREO7mYjNmtdo3FsuWA+cjc7qRnzUlHU27clzRgMBpw5cwbx8fHKqikIkRPY9mJLBJvfNhtFjaTvSvOQXR3BlssDFgp8BX0h6r/S/HNAenl2R6KEjk5yVGjf4XHvYN+LYsvDjZgNbnKtlTbYPO6F/cP/nf8GqVs3YPVq6cWzlMKvfS+GA5McaRURCqV8o7rAHjFihNomKNaQSxERwt3gvb3Nb2y2LhcsZV+p0JCKzli5qRRyi4VI4WqBraSKCIdc2xQg6rtUBFsuRcQVr55tzQNWgIX/9kxydGb0XqnIVLLQjBWsjns51Hi4kvJdbGyJbYuMBJYvV5T7Luq71IRloWDl2+Zff6+/DjRuzJaTdBSlOdhifU9zsCmUxxY6RbkyYEs+JHcDEq5e5kgEW6l9uZrPoaFATo7js+rlbnZSr7UdwZYoKj+C5izsiaKqJbDtSVNwBKV5uPzPnRm9l1sqnY9Wy+5rNLomPUeIEwS+Bc64lpo2dU5brD1ccfDHp15fVl3IEaylcViLYAcHO94GCoXiFmgSV2WALzSs1XTmbozCiLU9pbo4nCGwFy9ml7bmcrbVQI0Iti1RVAcj2KLIVTHh426BrUYOuKOTHB3F3QKfj70pIvbiaATbUYRimUMuIqzGA64136QE9vvvs+VBhwxxfpsoFIpLoBHsCoqiSY7uENhyKSpSbQaA2FhgyRIrZjSoU6eO/ZN/1BZ51lJgHBDYkr5LiTy5qgvuFth2iExR/+0p06dWioiSFJXCQrvsWx331q4HNd4eSPlubV+bzUj4bo/AVusB154Uka5d2R8Z6CRHCqV8QwV2BUVRuTKxL2ipFJGWLdl/7XllaYvAV/KZBAzDICAgQH4npSkiQv/txZa+dyCCJum7LSKz7GB2t8NuHIyiivpvy0Q7qUmOjuCMSZYKsDrurYk8NSLYUqlJTo5gS/rOv5aUfueoIbCtIZUrrgBapo9CKd/QR+AKiqIqImL5zFIR7GrVgO+/B7Zssb0xtggNJZ9JYDAYcPToUenZ9QwjL2L5N1g1UkSs+e7ADV7Sd1tEpppYs+fg2wNR/8tTBNta33PjzVm+C9tRXvLfnSwKJX3n+2utPCaHGiki1vpe6g2XAmgVEQqlfKNKBLt///6K913DrZBHUQ+pHGy5SJ5YBDcoyPG2KJ1wZKcANMrdJK3d7BxY6EXWptgxVcjBFvW9vAhsrVbVFBFAxH9boqhqT3JUOQfc6riXw9052I0bA1ev2m1K1Hf+Nn5b5AR2nTp2t0ESa33PX0TLHRNcKRSKaqgisIk7XrVRpFG6mh8gHcF2hJKSsv8rFdhqlKeydkx+RMjRaiUctghctSdZuTNFxNrDjVTE01GbSo+p5iRHhrEeRVVzkqO1vldj7gHfR2s+TZgAhIQAzzzjHNuA9IJSYn3/1VfADz/Yt2KlrW0REhQETJ7Mfi866zuHQqGUC1S5oteuXavGYSn2YksdbKkcbEfgC1f+ceVuKGoJbL7Yl8NZItNFKSKS8Pte6cONOwQ2H3ekKaiZIuLhYW5T7s2RGlFMW3KwnSXy+H1vbQJtlSrAqFHOsWtLWzgaNGB/1EDJtdSrlzq2KRSKW6E52BUURVVExL78mzVjX1u2auW8xkilXjg5RUSj0aBBgwbSs+utpSk0bw7ExACdOtlsWxJbSrU5WEVE1Hepvnd1BNta3/OxI/9d1H9bxn3Tps4f91wf63TWRd6TT7LRTDuEntVxb+1aqlYNiI8H2rZ1XuoQ/zgqTsZTNO6VpoiogS0PljYfmt6+KZTyjEuu0O3bt2PQoEFISUlBmzZtzH5sZcmSJYiJiYGXlxdatmyJ3377TXb/DRs2ID4+Hl5eXmjUqBF27twpue/IkSPBMAwWLFhg8dmOHTvQsmVLeHt7o2rVqujZs6fps9zcXHTp0gWRkZHw9PREVFQURo8ejby8PNM+mzZtwtNPP42QkBD4+/ujdevW2LNnj5kNg8GAqVOnolatWvD29kbt2rXxwQcfOJ5yY4vQaNECSEsDnn7aMZt8+FFjqeWMhdh589DLRQCV5KJu2AB8+KFdtkXh97G1PFwHz7Oo71LVFNwRwVaKnSLIwn9bUkQaNWLH/XPP2WVbFM6+Tmc9gj18OLBnDxARYZcph8a9Vgt8/TUg8r1nN1LXuQpjS9R3/rVk7eFGTWilDwql0qK6wP7ss8/Qp08feHp6Ij09HXFxcdBqtTh16hTatm1r07HWr1+P8ePHY9q0aThy5AgSExPRuXNn5OTkiO5/+PBh9OvXD6+88gqOHj2Knj17omfPnjhx4oTFvps3b8Yvv/yCyMhIi882btyIgQMH4uWXX8aff/6Jn3/+2Wwip0ajQY8ePbBt2zacO3cOq1atwr59+zBy5EjTPj/++COefvpp7Ny5ExkZGWjfvj26d++Oo0ePmvaZPXs2PvvsMyxevBinT5/G7NmzMWfOHCxatMimfgIEE39smewlt91e+GkK/GPLvY5u1sxmM0ajEZmZmdITvnQ66yLW2b7bklv87LPsv4mJNpuR9F0qr1xOdDVvbrN9q1gTedWrO3R4Uf9teXsAOP/c8wW2kiiqnfatjnslUVSGca7/LhLYkr7bkoP9mCI7sZVCobgd1WdVfPLJJ1i6dCkGDhyIdevWYerUqYiNjcWkSZNQWFho07FSU1Px6quv4uWXXwYALF26FDt27MCKFSswadIki/0XLlyILl26YOLEiQCADz74AHv37sXixYuxdOlS037Xr1/HG2+8gT179qBbt25mxygpKcGYMWMwd+5cvPLKK6btDXivcqtWrYrXXnvN9Ht0dDRef/11zJ0717RNGBX/8MMPsXXrVnz33Xdo0qQJAPaBoEePHqY2xMTEYO3atVaj9Fbh39T4OdCuiq5IlU4TEzrbtgEXLgB2vN2wioqvayWRmmQo1vdvvgkkJbFvEZwF/ybMtykmNLZvB86eBf71L+fZ57DW92FhwPLlbD6uM21yOKvsoi1wfezh4f40BaVzD5xpk4M/7lz1nSM11twRwaaT/imUSonqAvvKlSv4V+kN28vLC/fv3wcAvPLKK2jTpo1oOoYYRUVFyMjIwLvvvmvaptFo0LFjR6Snp4v+TXp6OsaPH2+2rXPnztjCq+VsNBoxcOBATJw4EQkJCRbHOHLkCK5fvw6NRoMmTZogKysLSUlJmDt3Lho2bChq98aNG9i0aROSk5Ml/TEajbh//z6CeKXv2rRpg+XLl+PcuXOoV68e/vzzT/z0009ITU2VPM6jR4/w6NEj0+9cWorBYDDVSWUYBhoABIBRpzO9tiCEQAPLeqoMw0Cj0Vhs12g0YBhGdDvnk9h2UlwM7rZqJARari2EmIlvrVYLY3g4SFiYmTDUarUwGo1mqTJcG/nb+e3i/5/zl9FozI5hNBjs9km4XavVghAivp2zx+t7hmEsfdLpoOnYkd3Oa4/U+eBv5z4zCHxieH3PFzf8vjf5FBLCVnMo9UHOJ2HbpbZrADAAiEZjdk6J0WjpU2KiaazaOvb4/pu28/3VasvaQgiMguPY4pPY2ONvtxh7Wi079ri2lPa9s8Yeh/A43HUGwEzkMaXHsNcnue0mn1B23RlLv2cA9rzzx7Y915PUNc/fzpSUgOF8NRjKvn8AMGJjT4lPNp4nACChoWBK37Caxp4D1xP/PNE62BRK+UZ1gR0aGoq7d+8iOjoaNWvWxB9//IHExERcu3YNJTZEVW7fvg2DwYCwsDCz7WFhYThz5ozo32RlZYnun5WVZfp99uzZ0Ol0ePPNN0WPcfHiRQDA9OnTkZqaipiYGMybNw8pKSk4d+6cmUDu168ftm7dioKCAnTv3h1ffPGFpD8ff/wxHjx4gN69e5u2TZo0CXl5eYiPj4dWq4XBYMDMmTMxYMAAyePMmjULM2bMsNh+8uRJ+Pn5AQBCANQE+5By7uJFxObnAwCK7t9H1VIf+fni0dHRqFatGs6cOWP2lqFOnToICAjAsWPHzG4SDRo0gF6vR2ZmplkbkpKSUFRUhH9u3oR/qc2sK1dQG+yN8eSZMygpvfl4eXkhISEBd+7cwZUrV0zH8Pf3R926dZGVlYWbN2+atgcHByMmJgZXr15Fbm6uhf98n+Lz86HX6+Gh06EwP58VOADOZGba7dOpU6dM27iHr7y8PFy4cMG03cvLCwlBQSgpKUFRURH+vnIFNfLzodVq4cUwin2KiIhAZGSkovN0/PhxM59Cr19HYGnf64qLoQeQn5+Pi2fPoujhQ/t8suE8NSwqgqdej4KiIhgfPABTXAwAuJeVpdgnwPrYO378uMl/vk/GUt+vXLyImPx8+Pj4oPDRI5zinVdnjT3heQq4cgUR+fnQEQJPjQaFBQUwEoK/Tp9G8e3bTht7jRs3NvPd5BPYN3D5Dx9CU1gITUEBO/YAVcae2Xk6cQL1uL4/dw7xRiMYjQY3btxANs8vZ4w9Dr5P4TduoFrp2Mu6eRMBpW05e+IEwmvVcurYEztPxQsWIG/hQmS99BJi3n8futKx5+j1xD9PYn1AoVDKD6oL7Pbt22P79u1ISkrCwIEDMWbMGGzZsgXp6eno3r272uZlycjIwMKFC3HkyBHJZWe5L9TJkyfj+eefBwCsXLkSNWrUwIYNGzBixAjTvvPnz8e0adNw7tw5vPvuuxg/fjw+/fRTi2OuWbMGM2bMwNatWxEaGmra/s033+B///sf1qxZg4SEBGRmZmLs2LGIjIzEYIkarZwdjry8PERFRaFRo0amJYSZu3cBsJOBGjRpAo2PDwDAOzAQABAbG2t2TK4v4uPjzbZzkRnuhi7cnpSUZLHdy8sLYUFBYEptxpTa0mq1aNi4MVvBgEdQUBCqVq1q4Wd4eLjZwxLXxpo1ayIqKgoAGx0ihECj0Zj5xPkLjQZevPreSUlJdvsk3A6wN0XSYbnpAAAgAElEQVSL7bm50Ol00Ol0qJOQUNYWhlHkE3+73HniImMajQba0tfgjRs3BhMWZup7Lj3Ix8cHDRo2ZCum2OMTlJ8nTWlajLevL1BQAJQKbO/wcKs+8bF2nhITE03+c1E+L19foNT3uAYNTH3v5e3tkE+Kz9P166xNHx+zsZeQmAiEhjpt7Gk0GiSW5u0Lv8d0Oh38AwLYlA3eZ84ce2Jtb5yYaOrvuPr1wZRuj6xeHRG89js69vjjnu8TEx4OpnTshYeHm66BxKZNwZSmC6n5vefZti2CW7dGMABNaqrpbZGj1xP/PPnzF6mhUCjlDtUF9rJly0yR6rFjxyIwMBCHDx/GO++8gzfeeEPxcapVqwatVovs7Gyz7dnZ2QgvvVkLCQ8Pl93/0KFDyMnJQc2aNU2fGwwGTJgwAQsWLMDly5cRUTqrn59z7enpidjYWFwVrD4WHh6O8PBwxMfHIygoCO3atcPUqVNNxwCAdevWYdiwYdiwYQM6duxo9vcTJ07EpEmT0LdvXwBAo0aNcOXKFcyaNUtSYHt6esJTJL9Uq9WahBaXD8kA0PIEJlP6uVYiL9FZ2xneK05t6UQ7BoDWw8MiJ1Kq9JSS7YQQFBYWQqfTibdFowFffvD3cYavDMNYbmcYk02toLa4rb7KtYUQguLiYnh4eJhuwlphaTy+vyJ9r9gnO9rOCAQeJ7icOfaE/lv4y9l2kk9WzxO/tjVv7An73tE+4M69l5eXhcBm2D+wyH125tiztl1bu3ZZe7Ra0Txoe8cef9ybtb1HD2DrViAhARqe79rSc+GoT/Zud+bYk7JLoVDKB6pXEfnnn3/gw0XQAAwZMgTLly/HxIkTzV7PWUOv16NZs2ZIS0szbTMajUhLS0Pr1q1F/6Z169Zm+wPA3r17TfsPHDgQx44dQ2ZmpuknMjISEydONJXQa9asGTw9PXH27FnTMYqLi3H58mVER0dLtpeLfPPzo9euXYuXX34Za9eutZhMCbCv7oVfqFwenq2Y/Q1fZKmxUpw1+LmC/LY4eeUyo9GIU6dOSfeXO25ItlZwsRNJ322Z5KgmttTBtgNR/6Um1Lpqoh2/Dra1yb0OYHXcu6tU3MGDwPffA6Wpamq0RdL3xo2B774DhGl6Tu57Rag07mkVEQqlfKN6BDsiIgI3b940S4UA2NrRERERNk3UGD9+PAYPHozmzZujRYsWWLBgAR4+fGiqKjJo0CBUr14ds2bNAgCMGTMGycnJmDdvHrp164Z169bhjz/+wPLlywGw+WzBwcFmNjw8PBAeHo64uDgA7Cu9kSNHYtq0aYiKikJ0dLSpOsiLL74IANi5cyeys7PxxBNPwM/PDydPnsTEiRPRtm1bxJS+hl+zZg0GDx6MhQsXomXLlqY8cG9vb1MqR/fu3TFz5kzUrFkTCQkJOHr0KFJTUzF06FDFfSQKX1RbW8lRDaTOsatvdu4Q2Hwf+eehPFZwUROVBbakTbH/u6rvuWuNF2CwaIsraNgQOHTItTYBc2HN4Uqxz7055I87dzxsJCay/e+OSjYUCsVtqC6wpRZJyc/Ph5eNy3H36dMHt27dwr///W9TNY/du3ebctSuXr1qFgFu06YN1qxZgylTpuC9995D3bp1sWXLFsnqH1LMnTsXOp0OAwcOREFBAVq2bIn9+/ebcua8vb3x+eefY9y4cXj06BGioqLwf//3f2alA5cvX46SkhKMGjUKo3jLAg8ePBirVq0CACxatAhTp07F66+/jpycHERGRmLEiBH497//bVN7LfD3ByZPZiNp7i7TJ1Wf1hW4I3rFt8mP2Luq78tLBNsdwsbdpeJatQKGDgXatQP4b+tcNQ6/+YYtvThkCPDjj66xWR5xd5m8f/+bXcinRw/3toNCobgU1QT2e++9B4DNOZs5cyZ8fX1NnxkMBqSnp6NRo0Y2H3f06NEYPXq06GcHDx602Pbiiy+aIs1KuHz5ssU2Dw8PfPzxx/j4449F/6Z9+/Y4fPiw7HHF2iakSpUqWLBggeLShTbRq5flNneIPBVTRAArywerYM8qLhTYor4rSZlwBUoW+XEQC//dvcCIXg+8/jr7/59+UrUtouc+NpatrV7BKfdLhletWinOA4VCMUc1xXHgwAEAbAT7559/hgfv9bher0etWrVEF4ehOAdFE2BcJbDffht49VXglVdUjWBrtVrToj2ilKcItpOR9F1qFU1X9cXbbwNLlwLTpgEDB6pmRtR/jYZdtCcvz1QxBYB7oulSK0w6AavjHnB/FJfDyX2vyPfmzdnzL6ga8rhDJzlSKOUb1e743OIv/fr1w7Jly2hJIRcjlZpjhquERu3awL59rODZtq1su5NFHiEEeXl58Pf3Fy+76O5Il4r9Lem7uyd89u4NvPCC6n0v6j/DAEuWlP2fw12T/jhcPe7ZnZxq026c3PeKfPfwYNNl3H39OxlF3/EUCsVtqP6Ns3btWpO4vn37Nm7fvq22SQoUzjB3pdAQu7mpUE3hwoULlr5zE1lTUpxqTxH8iY2lk1kBqFJNQdR3bsl5X1/35b9ztlSuIiLqP8O4X1ALcfLDjaTv5RFr0WYbUex7BRPXAK0iQqGUd1T/1iGEYM6cOQgNDUVYWBjCwsIQGhqKuXPn0idwd+PuV+WuYs0a4KOPAJkVMVXDwwNYtQpYscK8moSr+v7554E5c4BvvzXfXplfL7tj3Lu7koW72bYNmDcP+Ne/3N0SCoVCcQmqz/qaNm0alixZgilTpqBt27YAgJ9++gkzZ87Ew4cPMX36dLWbQJHC3ULDVQQHA4JFfVyKWNUaV/W9RgM89RT7f3dWcBHar2y4W2CHhADXr7veLkdkJPtDoVAolQTVBfaXX36JL774Ar14VSxatGiB6OhojBkzhgpsd1IBBbatpR/dhgp9b9V3dwtslVF87itgBNmq7/Pns28yRoxwTYNcyGNzzVMolEqF6gI7NzcXCQkJFtsbNWqE3Nxctc1XWspVFREXodVqRcdaZcBm3yuYwLbJ/wr2YKnI99hYtppLBaOyX/MUCqX8ovpdtmHDhqaVE/ksW7bM5gVfKMopd5McOVSe6Hb79u1KOflHke8VOIJt07mvYA+WdNxXXt8pFEr5RfUI9kcffYTu3bsjLS0NbUorGhw+fBhnz57F9u3b1TZfaSlXZfr4qCiwCSG4cuWKaYXNco0K5cqs+l6BBbZN556O+wpDZfedQqGUX1S/y3bs2BFnzpxBhw4dcPnyZVy+fBkdOnTA6dOn8RQ3+YriHkqXmHcpNOrCUsFEHsUK1aq5uwUUCoVCcSGqRbDff/99vPXWW/Dx8UF0dLTkMuMUNzB/PnD2LNC6tbtbUnmhArty0bgxMHo0EB3t7pZQKBQKxQWoFsGeMWMGHjx4oNbhKY7Qrh0wbFiFFHmPzYqhKvT9Y+O7Sij231052EOGAO3bq3LoynzuK7PvFAql/KKawKb5Ye6l3M4w79YNCA0FevZ0+qG1Wi3q1q1bfn1XkcrsO6DQ/9692ZroL77ouoa5gMp87iu77xQKpfyiag42U8Fm6z9OlNsZ5n5+wPbtwJQpTj+00WjEjRs3yq/vKqLI9wr80KvI/7ffBnbtAgIDXdcwF0DHfeX1nUKhlF9UFdj16tVDUFCQ7A9FHcr1GwSVKlgQQnDz5k1537lX9O5eslmFKiJWfXf3mOjcmf23RQunH1qR/0CFq54C2OB7BaSy+06hUMovqpbpmzFjBgICAtQ0QaHYxowZQIcObB66O6mA+e9WmTyZ7fcnn3RvOygUCoVCURlVBXbfvn0RGhqqpgkKxTZ8fIAuXdzdCrYdrsbb2/U2+ZSXvqdQKBQKRWVUE9g0/9q9VMb+ZxgGwcHB5dv3CROAX34Bnn3WqYdV5Hv79kByMpCY6FTb5YHH4tyrBPW98vpOoVDKLwxRKZFLo9EgKyuLRrBdTF5eHgICAnDv3j1avopCoVAqKPS7nkIp36g248doNFJx7UYq4wxzo9GIy5cvU98rIZXZf+p75fWdQqGUXyrelHoKgMo5w5wQgtzcXOp7JaQy+099r7y+UyiU8gsV2BQKhUKhUCgUihNRtYoIxfVwUY28vLxKt9KXwWDAgwcPqO+VzHegcvtPfa+cvufl5QGgkWwKpbxCBXYFIzc3FwAQExPj3oZQKBQKRXVyc3PpehMUSjmECuwKBrc65tWrVyvdl25eXh6ioqJw7dq1SjervjL7DlRu/6nvldP3e/fuoWbNmnRFZAqlnEIFdgVDU7oUdEBAQKW74XD4+/tT3yspldl/6nvl9J37zqdQKOULemVSKBQKhUKhUChOhApsCoVCoVAoFArFiWinT58+3d2NoDgXrVaLlJQU6HSVLwOI+l45fQcqt//Ud+o7hUIpX6i2VDqFQqFQKBQKhVIZoSkiFAqFQqFQKBSKE6ECm0KhUCgUCoVCcSJUYFMoFAqFQqFQKE6ECmwKhUKhUCgUCsWJUIH9GLJkyRLExMTAy8sLLVu2xG+//Sa7/4YNGxAfHw8vLy80atQIO3fudFFLnY8tvq9atQoMw5j9eHl5ubC1zuPHH39E9+7dERkZCYZhsGXLFqt/c/DgQTRt2hSenp6oU6cOVq1apX5DVcBW3w8ePGhx3hmGQVZWlota7DxmzZqFJ554AlWqVEFoaCh69uyJs2fPWv27inDN2+N7RbrmP/vsMzRu3Ni0iE7r1q2xa9cu2b+pCOedQqkoUIH9mLF+/XqMHz8e06ZNw5EjR5CYmIjOnTsjJydHdP/Dhw+jX79+eOWVV3D06FH07NkTPXv2xIkTJ1zccsex1XeAXeHt5s2bpp8rV664sMXO4+HDh0hMTMSSJUsU7X/p0iV069YN7du3R2ZmJsaOHYthw4Zhz549KrfU+djqO8fZs2fNzn1oaKhKLVSPH374AaNGjcIvv/yCvXv3ori4GJ06dcLDhw8l/6aiXPP2+A5UnGu+Ro0a+Oijj5CRkYE//vgDTz31FHr06IGTJ0+K7l9RzjuFUmEglMeKFi1akFGjRpl+NxgMJDIyksyaNUt0/969e5Nu3bqZbWvZsiUZMWKEqu1UA1t9X7lyJQkICHBV81wGALJ582bZfd5++22SkJBgtq1Pnz6kc+fOajZNdZT4fuDAAQKA3L1710Wtch05OTkEAPnhhx8k96lI1zwfJb5X1Gueo2rVquSLL74Q/ayinncK5XGFRrAfI4qKipCRkYGOHTuatmk0GnTs2BHp6emif5Oenm62PwB07txZcv/yij2+A8CDBw8QHR2NqKgo2ehPRaOinHdHSEpKQkREBJ5++mn8/PPP7m6OU7h37x4AICgoSHKfinrulfgOVMxr3mAwYN26dXj48CFat24tuk9FPe8UyuMKFdiPEbdv34bBYEBYWJjZ9rCwMIv8Ui5v9dq1axg3bpxZ3qrY/o4SExMjmvc6atQoh4994cIFBAUFKfZ91apVaNy4MUaMGAEfHx+0atUKq1evhtFoRJs2bfD333+bjlulShUEBgZa2FywYAHi4uLg7e2NqKgojBs3DoWFhabP7c2NtZfi4mK88847aNSoEQBg6NChGDRoEG7cuCG6f1ZWlmhf5eXloaCgQLV2lgciIiKwdOlSbNy4ERs3bkRUVBRSUlJw5MgRdzfNIYxGI8aOHYu2bduiYcOGkvtJnfvHMQedQ6nvcXFxWLFiBbZu3Sp6zT9uHD9+HH5+fvD09MTIkSOxefNmNGjQQHTfinjeKZTHGSqwKyhc3qpWq3WJvd9//90s73Hv3r0AgBdffFHybxiGweXLl2WPW1xcjH79+qFly5aK2pGamorJkydj0qRJOHXqFH766ScMGDAAycnJ2LRpE0JCQrBs2TLTcdu1a2dxjDVr1mDSpEmYNm0aTp8+jS+//BLr16/He++9Z9rH3vxQe8nPz8eRI0cwdepUAMA777yDs2fP4rnnnlPF3uNMXFwcRowYgWbNmqFNmzZYsWIF2rRpg/nz57u7aQ4xatQonDhxAuvWrXN3U1yOUt9bt26NQYMGISkpyeKafxyJi4tDZmYmfv31V7z22msYPHgwTp065e5mUSgUBVCB/RhRrVo1aLVaZGdnm23Pzs5GeHi42bZnnnkG//nPfxAZGWlxnOzsbISGhuKtt95C9erV4evri5YtW+LgwYN2ty0kJATh4eGmn+3bt6N27dpITk62+5gAMGXKFMTHx6Nfv36mtvPh+3737l1MmTIFX331Ffr374/atWujcePGJhHq4eGBJk2a4MKFC6bj9u7d28Lm4cOH0bZtW/Tv3x8xMTHo1KkT+vXrZ1axZPfu3RgyZAgSEhKQmJiIVatW4erVq8jIyDDt888//2DYsGEICQmBv78/nnrqKfz555929UNAQAD27t1ram9cXBwWL16MjIwMXL161WL/8PBw0b7y9/eHt7e3XW14nGnRogUuXLjg7mbYzejRo7F9+3YcOHAANWrUkN1X6twLvyMeF2zxXQj/mn8c0ev1qFOnDpo1a4ZZs2YhMTERCxcuFN23op13CuVxhwrsxwi9Xo9mzZohLS3NtM1oNCItLU0yL09s+969e1FSUoL09HSsW7cOx44dw4svvoguXbrg/PnzDrezqKgIq1evxtChQ8EwjN3H2b9/PzZs2IAlS5ZAp9NBq9XK+r53714YjUZcv34d9evXR40aNdC7d29cu3YNAJvHePz4cRQXF5uOK0abNm2QkZFhEtQXL17Ezp070bVrV8m2iuWHvvjii8jJycGuXbuQkZGBpk2bokOHDrhz547dfSK0yTCMaIpL69atzfoKYPtHapxUdDIzMxEREeHuZtgMIQSjR4/G5s2bsX//ftSqVcvq31SUc2+P70K4a/5xPPdiGI1GPHr0SPSzinLeKZQKg7tnWVJsY926dcTT05OsWrWKnDp1igwfPpwEBgaSrKwsQgghAwcOJJMmTTLt//PPPxMAZMiQIeT06dNk2rRpRKfTEa1WS65fv2527A4dOpB3333X4TauX79e9PhCAJBLly6Jfnb79m0SFRVlqhiwcuVK4uPjI+t7kyZNiEajIXFxcWT37t1k2LBhJCkpicTGxpJffvmF9O3bl3h6epLw8HCz44pVHVi4cCHx8PAgOp2OACAjR46U9MNgMJBu3bqRtm3bmrYdOnSI+Pv7k8LCQrN9a9euTZYtWybbL2Lcv3+fHD16lBw9epQAILNnzyb169cnPXr0IIQQMmnSJDJw4EDT/hcvXiQ+Pj5k4sSJ5PTp02TJkiVEq9WS3bt322zb3Qh9T01NJUePHiVXrlwhhFj6Pn/+fLJlyxZy/vx5cvz4cTJmzBii0WjIvn373OWC3bz22mskICCAHDx4kNy8edP0k5+fb9pH7JrX6XTk448/Nl3zHh4e5Pjx4+5wwW7s8X3GjBlkz5495K+//iIZGRmkb9++xMvLi5w8edIdLjjEpEmTyA8//EAuXbpEjh07RiZNmkQYhiHff/89IaTinncKpaJABfZjyKJFi0jNmjWJXq8nLVq0IL/88ovps+TkZDJ48GCz/QGQyMhIotfrSUJCApk2bRoBQHx9fc1+dDod6d27NyGEkNOnTxMAsj/vvPOOaPs6depEnn32WYvtXbp0MbMHgPj4+Jh+b9CggWnfXr16mR2fE8JyvsfExBAAZM+ePYQQQsaOHUuqV69OAJDAwEDStWtX0r59e9Hj8jlw4AAJCwsjn3/+OTl27BjZtGkTiYqKIu+//76ovyNHjiTR0dHk2rVrpm2LFy8mGo3Goo81Gg15++23CSGE7Nq1y2off/bZZ6Y2iX3er18/QgghgwcPJsnJyRZ+JCUlEb1eT2JjY8nKlStF21/ekfKdG+dC32fPnk1q165NvLy8SFBQEElJSSH79+93T+MdRGpc8M+l2DX/zTffkHr16pmu+R07dri24U7AHt/Hjh1r+n4ICwsjXbt2JUeOHHF9453A0KFDSXR0NNHr9SQkJIR06NDBJK4JqbjnnUKpKDCEEOL8uDilPMEwDDZv3oyePXsCYBdsGTBgAE6ePGkxCdLPzw/h4eEoKirCxYsXZY8bHByMkJAQs21XrlxBbGwsNm3ahB49eph9dv36dbMKFnXr1sXBgwdRvXp1AGy+ZHR0NAAgMDAQDx48MO1LCIHRaIRWq8Xy5csxdOhQi/asXLkSQ4cOxbVr18xyNcPCwvCf//wHr776qqLjtmvXDq1atcLcuXNN+61evRrDhw/HgwcPoNGUZVaNHj0aW7duxY8//mj2Cnv27NlYtGiRaF57YGAgqlWrhocPH5rSV6QIDw83SwEpLi5G7969cfHiRezfvx/BwcGyf0+hUCgUCsX16NzdAIrradKkCQwGA3JyckSraABsvnd8fLzNx165ciVCQ0PRrVs3i884Ic0nOjoaMTExFtvT09NhMBhMv2/duhWzZ8/G4cOHRY8DAG3btgXAruDHCew7d+7g9u3bJuGu5Lj5+flmIhqA6UGEex4lhOCNN97A5s2bcfDgQYv80KZNmyIrKws6nU7UPwDw9fW1qY85cX3+/HkcOHCAimsKhUKhUMopVGBXUB48eGA2c/7SpUvIzMxEUFAQ6tWrhwEDBmDQoEGYN28emjRpglu3biEtLQ2NGzcWFcdKMBqNWLlyJQYPHgydzrGhVb9+fbPf//jjD2g0GrMauJs3b8a7776LM2fOAADq1auHHj16YMyYMVi+fDn8/f3x7rvvIj4+Hu3bt1d83O7duyM1NRVNmjRBy5YtceHCBUydOhXdu3c3Ce1Ro0ZhzZo12Lp1K6pUqWKqNRsQEABvb2907NgRrVu3Rs+ePTFnzhzUq1cPN27cwI4dO9CrVy80b97cpv4oLi7GCy+8gCNHjmD79u0wGAwmm0FBQdDr9TYdj0KhUCgUioq4Mz+Foh7W8laLiorIv//9bxITE0M8PDxIREQE6dWrFzl27JjdNvfs2UMAkLNnzyraHzKTHIWI5UqvXLmSCIfwvXv3yNChQ0lgYCAJCgoivXr1IlevXrXpuMXFxWT69OmmPN6oqCjy+uuvmy29Lda3EOSH5uXlkTfeeINERkYSDw8PEhUVRQYMGCDbHikuXbokafPAgQM2H49CoVAoFIp60BxsCoVCoVAoFArFidA62DJI1RulUCgUCoVCoVCkoAKbx65duzB48GDExsbCw8MDPj4+8Pf3R3JyMmbOnIkbN264u4kUCoVCoVAolHIOTREBO1nunXfewf3799G1a1e0aNECkZGR8Pb2xp07d3DixAkcOnQI6enpGDJkCD744AOL8nTlBaPRiBs3bqBKlSoOraJIoVAolPILIQT3799HZGSkRdUjCoXifqjABrvE7JQpU/DMM8/IflFdv34dixYtQlhYGMaNG+fCFirn77//RlRUlLubQaFQKBQXIKz7T6FQygdUYFcw7t27h8DAQFy+fBlVq1Z1d3NcisFgwLFjx9C4cWOLBXQqOpXZd6By+099r5y+3717FzExMfjnn38QEBDg7uZQKBQBVGCrxPTp0zFjxgyzbXFxcaaazWJs2LABU6dOxeXLl1G3bl3Mnj0bXbt2tcluXl4eAgICKuWXLiEEhYWF8PLyqnTpMZXZd6By+099r5y+c8GUe/fuwd/f393NoVAoAuhCMyL8/fff2LZtG65evYqioiKzz1JTUxUfJyEhAfv27TP9Lrf4yuHDh9GvXz/MmjULzz77LNasWYOePXviyJEjZougUOSpzAuuVGbfgcrtP/WdQqFQyhdUYAtIS0vDc889h9jYWJw5cwYNGzbE5cuXQQhB06ZNbTqWTqdDeHi4on0XLlyILl26YOLEiQCADz74AHv37sXixYuxdOlSm/0wGo02/83jjtFoRGZmJpKSkird6+LK7DtQuf2nvlde3ykUSvmFCmwB7777Lt566y3MmDEDVapUwcaNGxEaGooBAwagS5cuNh3r/PnziIyMhJeXF1q3bo1Zs2ahZs2aovump6dj/PjxZts6d+6MLVu2yNp49OiRWb3uvLw8AACZOxfGvDyQZ58F06kTNBoNjGvWAD//zO4YHQ2MHw/NsWMw/ve/QEmJ6RgMAMbTE4aXXwYaNACMRjDz5oG5dg1Mly4wCNJWND/+CGzaBBIcDPLMM2DWrgWKi8H4+ACjR8Po7w/mk09AOnUCs28fNDk5IM8+C2PHjqy9DRuAQ4egYRgYa9YEad0azMGDIOPGAX//De0XX4AUFIAAgIcHyNChYOLioJk/H8aWLYE//wTOnwdp2xaIiwO++w7Gy5dBRo8GSl8bM6dPQ7NiBYw6HcibbwIREWzbi4rApKbCkJwMtG7N7vvFF2ACAoA+fdib2Pffg9mxAwgLA/POO4CHR9nNLSsLzCefQFNcDPLyyzDWqwdm7lwgKwvkmWeg7dYNRqMRhBBg+3YwFy+CvPEGtDodu/3kSTDffgvy2mtgQkOh+ecfGBctAunRA2jUiO37hQuhuXwZhvbtgZ49Wbulx9I0bw7jN9+AVK0KpnNnGM6fh2bdOjDDh8MQFlZ2kgwGaObPB5o3hzElpWz75s3Q5OQAr70G448/gvn2W6BqVZC33oLW3x/k2jWQTz4BSkpAXn0ViIuDVqs1+cR89hlw+jTQujU0L73Ebk9LA5ORATJ+PBidjh17f/0FfPUVyNChQI0aYBgGmpISGOfMAWnXDnjySbbvV66ExscHhj592Pbt3w9m2zYwISFg3nkHBv5boFu3oFm4ECgogPGllwCGgcFgYM9r6WRlo9EIbNkCZv9+ICYGmgkTQBiG3X7uHJh160BGjIA2MhLGu3eBhQtBnnsOSEwECIF28WKQ8+dhTE4Gnn+ebSPDsD799BOwfj0QEADSoweYHTug6dEDxi1bQAYMAGrXZvcnBJr582Fo1Ah4+umy6+a778Ds28eO+XHjgMxMMDt3ghk7FvD3h/Hvv8EsWgQ8fAjodGAGD4DfNfsAACAASURBVAaaNDGNPebzz4Hjx8E88QTQqBGMu3aBOXWKPZZGw56ns2eBZcuAR48AT0/W17g4GB89AubNA2nVCkhOBvP559CcOAFj8+YgAweaxjxDCJjQUBgmTAC8vcu+I+7ehWbBAhjv3wfp2xdMWhp7LTz7LPsdUXoeAADffw/N8ePAhAkwScK//gLzv/+BGT4c8PICmTcPePiQ7bdmzaDVaEAWLwbhUuqaNQMZPLhs7P36K/s9U6UKNJ06mc41P+ORMRigmTcP5Pp1GLt0AZ55puz87dwJ47lz7HfB77+D2buX/T7084Ph8mUwS5YA+flsvw8dCiYx0cwnZuVKMEePAk2bwjhkCPiYjb2//wazYgXISy9BW7cuCCEwFheDSU0FadYMeOopaP/7Xxj1epB+/crG/Nat0AAgQUEwTpgA+PmVtT0vD+Tjj4GcHFAolPILFdgCTp8+jbVr1wJgI9AFBQXw8/PD+++/jx49euC1115TdJyWLVti1apViIuLw82bNzFjxgy0a9cOJ06cQJUqVSz2z8rKQhhfEAEICwtDVlaWrJ1Zs2ZZ5HoDwKONG1Gg1aLo1Cnci49HTHQ0iufMQQkv5eVBmzYI27ABRfv3m9089Ho9PHQ65BYU4NqwYfC6eBExX30FT09P6M6fx7EaNcyiJ4lLl0L7118oyM+H8bvvoCkoAAD4+PiguHp1XGEYRK5fD+O2bdAWFMDHxwclly7hWLVqAIC4mTOhNRrh7e0Nw08/oXDdOmgKC/F3eDiCz55FtYMHUVxcjOLiYgDAvYcPgeeeQ+S336Jo82YY7t8HAJBDh4CVK6FZvBiPsrNxrm5dFJe+Qai/di18fvwRjwoKkO3lhdwePVjb2dnw27wZdzMycGXyZGjv30fdhQvh7ecH8uKLyMzMROycOdBnZwMAvJ5+GkWJiTh16hQAIGj7doR99x18fHzwSKPBxSZNEL1mDQDAcPIk/Lt1w507d3DlyhXUnTUL2rw85DRpglopKey5XbQIAT/9hGxPT2j690fMkSMo3rgRd65cwY1Ro+B59Srqff019B4eePTHHzgdEwMAqDN7Nnzy86HZvBmPcnNhJAR+kZHIPnsWEQcPQle9Oo41b246T97nziF+/XogIwOZgYGmc1fvww/hp9GgsFs3PPz4Y3j/9RcA4EZkJOqOHInCjRth3LEDAPBPYSH+GT0aCQkJuHPnDq4fOYI6n34KANAeOgSvfv2QlZ0Nrzlz4Hn9Oq7ExMCnVSt2ItbKlfDctAm3S0pw+//+DxEREYi8ehVF69fjwa+/4oqfHzQFBWi4eDE0ej3OJCSgsKQEtUqP5enpCV3Hjjjm7W3yqeru3YjZsweMRoPcO3eAMWNw/PhxAEBSUhKKiopw6tQp1Js1C5r8fDAAfHr1Ql5ICC5cuIDwL79E4MGDuOvpiRrvvYcHO3ZA+803uH/xIq6PGYOg+/dRa/VqFBcXo+jnn3G2VDAHBwcjJiYGDxctYoUjAOOuXfAsKYF+/34U3b2L23fvInvwYABAbGEhqq5fj4d79uA8r7xnYmoqdPn5KNy/Hxfr1EHIt9/CLzMTusRE6Lp3x7XPP0fI9u2m/b0ZBo/q18epU6egvXcPdT/5BAwA799+A/PJJ3g4dy48bt3Cpdq1wcTHIyEhAQWrVwO7d5uOUaDVotrcucg9cAA+q1ej8NAhXGMY1P/0U3jq9Sg+dAgn69VD7OzZ8MjJgYeHB/QeHrhZpw6y4+NNx6mbmQn/3bvxqKAAJYcOQVNYyH53/PUXPLp0wbFjx0znKXbOHATcuwfyzDPILP3+Cfvvf1F13z54R0Wh2NcXJaWBhAe3buHGxIloEhYGw4oVZcGDAwdwpXFjNGjeHHfu3AGZNw8+pddglWrVgCefRFZWFm7evGlqY0R2NiI3bkRRUREKjh3DX6UP1REREYhcvBhF16/jfN26CPvqK/iePImSRo0Q0KsXslesQEDpmAcArVYLr9RUk0+aBw9QLzUV3l5eYH79Fcfi4mDkPXzwx161jRtRbcsW3H3wADXmzUNeXh6u79qF6K++wqO0NGQHBKD+p5/CYDTiWL16gFaLWnPmwCcrC16eniguLsbl8HDcb9mybOz9+SeKtm1DIV0IjUIp11CBLcDX19eUdx0R8f/sfXuUHVWV9+/Ufd9+d9JJ59GPJJ13aDqBD5M4ik5Qh7AEHCcyyLdARL4RWAoCozKKTngIgoLDoBhQljKO4vCQASeCGZeACmgEmjR5dx6dV3eSTr/SfW/f27eqvj/qcc89fU5V3dsd7k3q/NbqdbtOVZ2z9z6nqn61zz67ZmDPnj1YunQpAKC3t9dzPRea3hIAaG1txfve9z40NTXhv/7rv3DNNddMmry33XZbjud7aGgIDQ0NiMViiAeDiEejqGpsBFQV4WAQ4WAQiESAVAqxykoglUIkEoH+yU9CN2O9lc2bgY0bMbWiAlPa2gBdhxKPGw2kUmhtbc2RQTGJb9w6Jh632wipKuY2NWXPN3+Dmoa2tjZA06BEIsa+aBTB0VGUm8e1zJ4NcugQACC0di2CoRDIxo2IVVUBZoaUiKraddreK1OnpS0tQEuLIeOTTxpNxGJonD4dDW1tRvnvfgcAqC0rQ01bG3D0qCGrpoHAeFgq0ajdBsbGEI1GDdkBkM2bDU89gIiuY2Fzc1ZX09taW1uLmpoaKOEwEI+j0XyRqq+vB2pqQOJxNM+YATQ2Aq+9hnA4jOlVVZjW1gYEg1BCIQAGwbLaVcJhIJ0GEglEYzHDm5xKYUZtrTFVzvZTOg2iKEA6bdcBAEogAOg6ooQgUlZm6zJ31izDXoTYusdqa1Fvkqza2lrUzJ+f1RUAMhnU19eDmPZa2NwMYs7YVMfjIPE4GurqMLutzViQtns3IpEIwpbt+/qgBIOApmFRSwsQjUKJxbK2T6XQahINACDt7YZOAOoqK3EYwFlnnYVAIABFUex+UkKhnDoqKyvR1tYGUlsLEo8jNmUKAKA8FDK2q6pQ19YG7NpljL1QCCHK9tZiunK6XuNAIJFAJBLBzClTMMM6vr0dAFARCuXa3nypjcXjWDxnDkhlpWF/XQcUBY3Tpxvb5rWEdDo79rq7s7bXdZBMBpWRCEg8jsVz5wJmP8UCgZw6YmVlAIAp5eUg8Tji8TiqFywwxhOAcCiEsxcvzo75aBQYHcWM2lpbHwAgW7ca48MilpYsJqmmx54SjQInT4KMjWVt+OtfG3KlUgjHYghbY6yyElNbW4GuLgQCAcRragzdASycO9cee6ioAInHjXFv3q/r6+tznBTkL38xdAqHEY5EcvvPvEcsmTcPxKrLvM7qzWvStrt5X7F16u3NGfetCxcCtbVZfamxR/7wh5wxVllZiXLzHhGPRlFlvjAHFQVty5YBkYhhr0gEiEYRAjBv9myAlv0vf0E4HEZM5r6WkChpSILNYOXKlfjjH/+IxYsXY+3atbjlllvQ0dGBZ599FitXriy43urqaixYsACdnZ3c/fX19ThqekktHD161DWGOxKJIGIRVAqEEBDAIIqKYoRsWDvLyoBUCkTXAVU1QkLOOw9Ys8bYn04DGzdC0XWAjWtU1fGxjvR0MNMGNA0BTqwgyWSMeuhzy8pATE8YAAQA++FGli41HnobNxpyW9PkuUqj7eyzbZ0CQFZ+6nhC62WWK5rG1zUczpVR0wBCsjagdCOahpwarLqtB6G5HTB1UhQlq59Jquz+4Nie0Lan2zV1n9vUBOWdd4xttp+slw+6XNez5ZoGQtVpyUjoaXFKJlp22l5KJJLV0zjQON6yP62XpSvH9nbf0WNHpBMARdcNMq0oOdkkxo0xVQWx+o+WyazD1tl88QBM++o6AoTY+sCSm4Nx/WfVo2m58pty2WPVqs8cY5ZcKC+3r6WcsWeZAUDr0qVGOAfMvrP6yarTrIPQ491si65tnCxlZcDoaE6dOTqxyps68fQErT817uj+sceCOTbs+4glF8yxZ51DCOY0NoIw/T5ORnbs0PcIwTiw7c7TiULOfYYu54wxQkjW3pTtc+5Xlu3jcZDR0fH1ZzLGGPNZ1hQJidMN8hWYwQMPPID3mV6y9evXY82aNfjlL3+J5uZm/PjHPy643uHhYezZswczzGlKFqtWrcLvTG+qhU2bNmGVGRdcMKwHEU0yotFsmVVO38ApAjTuXB6Z5pXx2nCTi31RUNVsbHggYHuEhXUCSFMPRKHcvP+tXyoW3ZP+7D4vx9LlVnvWL3sMS+6thz8tp1WVSHen+uj9brqzbbJtiHRwq489z60O3raqjsv4A8CwF62nk45Otudtc/pAJJsX+YX2s64LB1ukk0lnG7N10L88uUTnCdp3LHcbDzx5rbJgMHs/4vUdzHHPg+D4nH2ZjPge4FV3kS3ofSLdaRlZ3a17qNt1JyEhUZKQHmwGc81pSMAIFykkgwcA3Hrrrfj4xz+OpqYmHDlyBN/85jcRCARwubmQ5corr8SsWbNwzz33AABuvPFGnH/++fjud7+Liy66CE8++ST++te/4tFHH52YQjziaD04MplsOb14zPrfifjw2qBBP5y8PnStBwp9DP2g9UCwt737LlY4kWXR//mSQl5dtD3ZfV7bcCL8gEEWWa+siUNdXZhjereEcjrZZCIE10kHr2VORMulfV1VsW3btvHZJFgvcz6257VnhhFw93ttx5KLngGg7c/q7oFg79q2Da1mqBb3OPqFl/5lxywrC3ueBdHLxUQJNnusdd2LjgNwuKsLjezsgKg9p/bZX6+6exkHohc7J93zfbmRkJAoKUiCTeGXv/wlnn/+eaTTaaxZswaf//znC67r0KFDuPzyy3HixAnU1dXhb/7mb/DGG2+gzlzkdODAgZzPsq9evRo///nP8fWvfx3/8i//gvnz5+O5556beA5sHlGxSAJ9g3fyYNMPB00z/uj4P94N38pNmw/BZvPZsvLRcgkeMkT0UBWR5Hy9rk4POwcSYNvNrQ0RyaKPp6fIKRB6ut0LuWftMNkE28nOvON5+3h1iOTnwa2/6HOdxoKXbTfZ3Gwpsh/9QsyrH8gNteC1Q1+P7K+TLOx5IvlFcvH0of93I5nsdc9pXxSqI7S3GRpnl4v63avuXgg277pz0z1f20tISJQUJME28cgjj+CGG27A/PnzEYvF8Oyzz2LPnj24//77C6rvSXNRnQgvv/zyuLJ169Zh3bp1BbUnBHvTVhS+J9hriAgwnmDzHqo0KfBCsAnJ9Q6y57JTxSKCbXnxWLndvNmTFKYgbJMNxxC14UbyMpnc2QZWlnwItpeXA5E+Tm042dKJeE4kRMUr4fNC8CeDYLvpzutX0VjgES3mfCLq+0IINi1LviTPy7VO/y96sROFhvHaKYRg0+WicetVdy+hQoXoznux4rUvISFRkpAx2CYefvhhfPOb38TOnTvR3t6On/70p/iBmYLstAbrnaNDLbyGiDh5DnnbQPbhxJuC5tVNe6roY3j7RXUCuQsqRR4/3v88XZ3KRHWxpJoXM+2lfSfbO+nu1mdOcrjp7kYs8rUlSygm0n4mkzMj5Cojrw0nebxse21HVJdIHl6oAHN+gPbK8tphyRr96ySLiOQ5zRiwi1/d+tfJVux1z2lfERFs9lq0jhONe/bXq+5exkEhuosIvlN7EhISJQNJsE3s3bsXV5l5awHg05/+NDKZTE5e1dMJ9vpy64EnmnItxIPtxZtFPxx4DwTrgedEsFn5aLk4dRIArYsX5+ru9X+Rx5R+MLP7rWN48orq553j5Zc+XqB70+zZWbIhktOrB7sQgu0ku5cyr8dzthVNw/Lly90z3PB0FBFrNyKVrwebfuHiySWyB/2yyqmfAFg6f3523POOY+ugdef1qyUnr22e/DTo68VLaJTT9SAKETHPIQAaZ87kZ/gQ9b3omvVid6d6eXC67ljbi9oXXHcyh4iERGlDEmwTqVQKZWaOWMBIBRUOh5E0P5pyuiHHh1QMgu2WRQTIjRsVEWyagLssctQBDJ04kdW9EILNPnydFsnx6vJCsJ2IrBeCLdA9MTwMnfdA9yKHG9GhZeSdb+1n41u91OdGQkTtUdu6qmJwcDDnS35CGUVteLG9qC4WIrlFL0C0/dn2XRY56gBOisY9643l6cjKQmflKGShHU9fkfyiFzurzCWLiA4gOTw8vt/Z49k26WNE94BiZBGhrx+XLCIcjSUkJEoIMgabwu233579WAqAdDqNu+++G1VVVXbZAw88UAzRJgZ6KrKQEBE3YsF7wLhlEWH30XK57Xeos6uzE/ayUJH31YnIuRFmJ9150+0i4u7WPu88kUwmjnd3o0FVnbOI0ItUnXTNk+Da22x8q5f6RMSHl2lD1H4mg87OzvFZRNxeiLz8eqmLhdN4CwSc+9VLiAjT9sG9e7HYqe18sojQ6Q7zzSJi7XOLGxcRbFY+9rrn1NXb04OZbllEeHWz7bO/pzqLCACwa0bo8S6ziEhInNaQBNvEBz/4QezcuTOnbPXq1di7d6+9fdom9qcfIoV4sJ0eKCwJsuCWRYTd50awi5VFJB+S5UTI8yX4Tp5oke5esogAWYLN2mEyCLYoztiLlzrflxunmGYvMrO2dhoLXra9yGaRT6d+ZeXykEVEoUkxT0fRIkc6TMsC7cEuJJNFvted05iYrCwivLqt/0X9fqqziAC5tmavH5lFRELitIYk2CZ4WT3OGIiIKk2qCg0REd3s3bKI8NrnLXKkCbiXLCIiT5GbB1lEAPOJv3Q63ivBdiN5mYxzFhG3EBHrfyu3MF3vRENEWP2d7Ez/z9vnhWB7GYdeznH7FbVRCMl06lfRWPCSRUSUPceNYAO5Hmt2e6IE28t44B0jCg3j1eWVYLtd4+z+U51FBMi1NTvmZRYRCYnTGjIG2w8QhYjQD5dCs4iIHi5uWUTYfZOURSQqSh/o9j9PV147brYQPXzzbd/J9gLdw4Twyapbm0DuVLXoGC8eZTePJa8+62uLbrZ3aj+TQZT9UJFIRpFMIo+2l7qc2nWzg7UtksdDFpGcb6Dy2hNlEQFyvajstpU6czJ1Z+Xg6SW67jl1hUQziyKZRdcsu/9UZxEBcm3NjnmZRURC4rSGJNgA7r33XiQSCU/H/vnPf8b//M//nGKJJo6cR47Ig82WW5gMD7ZbFhF23yRlEZnX2FhYFhEr1IV92OfjveJ5Xd08wYV4UQW619fVQXHykDrJxJKsQgg2q7+b59bJ1k625GwTTcPSpUvfuywiotAoXjtePNi0vuyvhywizfX1hWURAcQEm/Ye5+NFzee6E816iK57C+Y5BMD0KVNOzywiwPgQEXqfzCIiIXFaQxJsANu2bUNTUxOuv/56/OY3v8Hx48ftfZlMBlu2bMEPfvADrF69GpdddhkqKiqKKK035Dz6i0GwvWQREclF76cJuIcsIgO9vYVlEQHGe1HzJHmeCbaTx84LwRboPjI05J5FhNcWMD5MwO3FgNcGjyR7rY9HzvOwva6q6O3theaW9WWiLzeielkUQrBFY8BDFpEh0bhnvbG89tm+pwk2j9zytkX7vNjBaWzysohYMx4ws+ecPDm+3+njeW3Sx7DlIpvx9OBtu7UpIti0LIS4EnyZRURCorQhCTaAJ554Av/7v/+LsbExfPrTn0Z9fT3C4TAqKioQiUSwfPlyPP7447jyyiuxY8cOfPCDHyy2yPmBnnqc7CwioodLkbKIHD10yF1Op//dSJ4TyXQKa3CTRfTr5iWmMHDihPN5ojYBbwTbC9HIh1g62dpLiAhzfFdXl3uavnxsfyoJtlO/egkRYdrvpfP1844TZREBxDHYogwePPlF+/Il2Kx8PBkYMj3Y18dP0yfqP3acsbnJRTajz3Fqh7dPZBNRDDb9YpEPoZeQkCgZyEWOJs4++2w89thj2LBhA7Zs2YKuri4kk0lMnToVbW1tmDp1arFFLBz0jZuNabQeVoVmERE9aIuVRcRtsRcrsygeU9SOG+kSPYy9Ek8RyXJqw4TnLCK8fmXDBERkRFSnte0Wcyuqr5CXG1FbbjKy/7vNIjidK0I+drDKRWOA58lk9C04iwggDhFxItheSCX7v8gO7PFOefs5bRORLF4INhuiQf8WM4uIKPbcrT0JCYmSgSTYDBRFQVtbG9ra2ootyuRBRFTph7Lfs4hY/7Pb+XhRnY73SrDdSF4mMzlZRNgyLwTbC9Fws7PTfrfwHC9eeRb5ePJFv/m053asqG7eiyEbqmDFfdOLWU1MKIsI2/fWfWEyQkS8jAe2j3RdHBrG1glMLIsIG6JB7y9mFhFR9hTetoSERElChoj4AaIQEfrhcoZkESmz2nWS0+l/p232eN75ooevW/tuv04ymYgGAmIS4tQmMDmLHFn93dpkj3WzvVP7moZK3tqIfOxg1W99jKeQce92rKhfnYhehMoRYpFJ5vwYfe3w2iski4iTF9VJ/3yuO9E14+TJZdqO8BY4Osks0p3dX8wsIk4vN25jT0JCoiQgCfYZCk9ZROib+xmSRWRmXV1hWUTY9gD+w9/pYcfzurpNETt5T9msJla5QPfaqqrsdLmbnOwxp3sWEQDz582bWBYRt9mIfAh2vh5sL6EKgvMJgGkVFacmi0ghYQr5XHciO4uue6YeAqCmoqLwLCJe7G69cLnVywPPay667ugx7xSDbdYps4hISJQ2JME+Q+Epi8ipDBE51VlEOARHB9B/7Nj4bAosUXX63yth5m3r+vh80l6IJf3L1sdrj2NPHcDw4CB0L33Ga+t0zyIC4MjBgxPLIpJP3zuRKqdjCyHYtAeb03dnVBYRtoyXRYTRfWRoqPAsIrzYddZmQOEE2+36F2UR8ZAiUWYRkZAobUiC7QfQU490iIiIYFv7Lc+NF5LC4lRmEWFloDBApVi0j3HKLOFE6niyu5FMEVHl2YxKNyYkoG5eYgojQ0PiEAQ3kne6ZxEB0HP48ORkEeHJ4yQ7D252YHWj7e8UIsJ7OQIw3N/v3N7pkkWELePJwByfOHmy8CwiPILN2ow9pxBvvsgmMouIhMQZC0mwBejs7MRLL72EZDIJAPwb+OkC+sZNe6VGR41fRTEWTlmgyTYvFtXpYWOBnpKeDILNergt2RkQ3kPc61T/BMMUuHI5TRHzvGJe2hfYk9B95YUc0rqzcovkoa8DXhtuMbeisVPIyw2zzc0mkY8dJtODnY8dAL4H2zrW+poib5+JCWURYfv+vcwi4vYSeaqziNC6s/t5oTlO9TrJILKDzCIiIXHGQhJsBidOnMAFF1yABQsWYO3ateg288tec801uOWWW4osXYEQPbBoTxUNmsgWSjS8eLBFsZa8/bRHh5adATeLiFf5eSQvTy9qXp5gN9IrIpleXli86OzkxRTV4zZV7ua9dNrvRXeejCZIPmEC9JcYRSRoIgTbaYzxzncKVQiFjJdgh/MnlEVE5MF+L7KIiO4votAwtk5gYllEnGYORAum3cYlTwbReJBZRCQkzlhIgs3gS1/6EoLBIA4cOIB4PG6XX3bZZXjxxReLKNkE4BYiwhJbNhSjkMVek5VFxCJB7H4BwS7nPRTz8WA7bbvVxZOLJ0M+Zbz2BPaMhULCLBOubXmRGxCTJ2vbi8dSVJeb7i7EprayEoQQx2Mcbe8kj+gcEVQ1O3bd7AA4Ez0PJJObRYR+iaBT/bGzUl4Ittu4F+3j/U+vLeC9yIjuCwLbRQOB8f3uJLNId3a/l4xEvG23Np3a5+mdD6GXkJAoGcg82Ax++9vf4qWXXsLs2bNzyufPn4+urq4iSZU/PGURsaZHWWI7GR7sycgiQk/feggRIQCmVFaOl61QD7abF9M6RiSzSAYnsukkj1XGsScBUBGNjo/p5snpNlUuktHadvqEM8+2NKES2Z61tdu4Y7YJgMZZs7KeXrdzvMwoTIRgA0Zf0KkTRW0BzqEKvHhcRvdKtxdLNtyB3sf2PX1fOBVZRNhZEKcXNQ9ZRMpjsfH9zpOR93LiZndFGb8OJR+PMu/lTXTd0WPeQ/y7zCIiIVHakB5sBiMjIzmeawt9fX2I0IuNShx5ZRFhiS39sCpkqlxRPH3WXCiXBTaNIB0rzvFg6wD6eFlE8iHYbmEKbtuFhoiIHsS89jj21AEM9/XxM0l4actriIhT3/NIMiCO23aydZ621wEc3L/fexYRnpz59L0TqWKP8UKwnbKIeMikMXzihPO4p+9drG7vdRaRfMZ4MbOIiMI0CrEFb0Ez4JxFxOXl5jReFSQh4QtIgs3gAx/4AJ544gl7mxACTdNw33334cMf/nARJZsA3EJE2BhsQpw/Sy6a5rfAel+8EGzeIkf64Wft42VAoZAcHBwvZz4E2+3h7+bJyyeLiBfS7eYlppseGfEmpxvREB3D1suzK2+/U1gIXe6mu4vt+3t7vWcRKZT4ierlwSuZB5xDFXhki2k/p+95+rAZMZz6/lRnEfHyIsO7LwjGZDqZPDVZRET6T9Sb79S+04uFl/YkJCRKBpJgM7jvvvvw6KOP4sILL0Q6ncaXv/xlLFu2DK+++iq+/e1vF1zvvffeC0IIbrrpJuExP/nJT0AIyfmL0g/GQkHfuL2EiNBlLGmyyizwHrT0w0HXhWTYlWDzPoTDys7gtMoiMlHvHgOF5wXlbfPs4iW0RVSPSDa36fF8X25cSF5eWUR4cp4qD7ZbvDfg7MHmeZIZ3blZROg22BARet97nUUkn5fI9zqLCB3OJPLgT9QWtL5esojk056EhETJQMZgM1i2bBl27dqFhx9+GBUVFRgeHsbf//3f44YbbsCMGTMKqnPz5s3YsGEDWltbXY+trKzEzp077W3u4p18IXpgiTzYVlk6XRjR8LggUTglyp5HSDZshfeRHAq+yCLC6y9wdNf1bEhNPp40ax+9SI49l/3f2nazv7XITlGcbS3SXSQL8swi4iZnIaFRLLz2kRXAeAAAIABJREFUPZB/qAKru5M+9IyUVa9T35/qLCJeXqScdGf7dDKziNDjXeRFdhuXtFy88ChR++x9WmYRkZA4rSEJNoVMJoNvfetb+OxnP4uvfe1rk1Ln8PAwrrjiCjz22GO46667XI8nhKC+vn5S2rbhFiLi5MF2m6rnPVzyIdhOixx58rkQ7AreRzl4JMsin6wuTtu8upym+kUy5FPGa0/wQI+yL2PWIjsvbfHk5rUjIk/Wtptn2KqDJdhebO9CbKbV1pZOFhG3ttxCROiYXQ8kM2eeixdiYpFsi7w69f2pziJCl2na+K+fiu4LAttFg8HJyyJC7xPp79UWE2lfZhGRkDjtIUNEKASDQdx3333ITOIN7IYbbsBFF12ECy64wNPxw8PDaGpqQkNDAy655BJs3brV8fhUKoWhoaGcPwu6okAHoI2NAapq/E8IVBgLZHRzelRXFKiqav9pJjHTAajpNLRMxjje9CJrY2PZ49Npe59u1asoUAnJbieT2f8BwDxWHRuDZp6vmQSAPs46D4EANE2DqqrQrWMs2el6AZSFwyDmti2n2QZdv2rusz4tbus6Npatc2wMqrVt6aeq0HXdqHdsDLqm5dZt6WrqD9OedL2a+VC1dNcB6JmMYXezn1jbW/VrlM0sna1+CZuEzCpX0+lsn1LtW+U5uo6O5sitU2OG1l81p7Q1TcvKYe4DU6fG0cnWi9U1lbLPtccYp356nOrMuJxSXW33ja7r0HU9Kw/VH7quZ+s2+xS6nq3PktHsJ/s6suxmprnLsRfdH4yddfN+Qo87W1d23FhjjLYNIdnxl8nk9h0hIADCVNvWuAdlH1VVc+yo031vXWdWG+a2RohxXVrXAm1767phrvtx/US3Y8qeY3sAurVt2lJNpXLuV5pZrplEXKOuSQCIBAJQFMW+R9Djg5bRtr3Vr6zdTYJr212gk90+dU3mtGuOPVZPa+xpVBu69SEzZsxr5ktVjt2YscfNnCIhIVEykB5sBmvWrMErr7yC5ubmCdf15JNP4q233sLmzZs9Hb9w4UI8/vjjaG1txeDgIL7zne9g9erV2Lp167i0gRbuuecerF+/flx5IpGAUlYGZXQUI0ePYpqqIp1O41hPD0ajUcxMJBAaG0M4FMJwMold7e32uU1NTZgaCGA0mcSejg5MP3YM8UQCkepqBNNpHNy/H73m8ZWdnZinaSCxGBInTgAAMpEIOjs6sAKArmk5Cw8JgPjUqVBPnkRXZydCvb2Ykkjg5IkTqA8EkMlkkKa8OoFAANF4HD09Peju7kZLIoFgIoFgOo1IOIx0Op3zQjR69ChqYbx4DPb04FB7OyL792NhJoNQPI7REyeg6Tp2vvUW9FAIraOjCAFIJhI4uHMnKg4fRlUigVg0CmQy2N/ZifpEAlo0CmV0FLFMBqnRUWzbtg3IZLAokcjRKZVIAAC0aBTBVAoxVUVfXx9O7t2Laea+dH8/agAc7+lBuVkGQnD8wAE0m/2UyWSwf+tW1B09iuqxMYTjcaT6+9Gzfz/0UAjTEgmEw2GEgkEkNA2w6gEQiUQQDATQ8fbbUE2PfvPx46jRNBBFwb7duzHY3o6p+/djaiKBeDwOfXQUydFRW8/MwACqzId6KpWyyw/v2oUFc+agr68Pme5uVJi2CY2NIZrJYODECURMWZLHj2P4wAE0x+M5/bTr7bcxfe5czMxkkEqloKoqDu/ahbJDhzAtk0EoGMSx7m4M6zpmmPXHdB1BVcWWLVvsjBGLhocRi0Tssde1bRuSJglra2tDOp3G0f37UWfWERgdRTyTwdDQEA50dGCuKadCCGK6jrFUCmNmWde2bZhh9lNaUZAZHkZvVxd629sxZcoUu5/SwSAU82UvFAohHArZOu3ZsgVjdXVYmkggCmA0mcSRzk4MtLdjyr59mK2qCMbjSPb22uQcAKJjY8DYGEZNWXZu24Y5J0+iGkBqZARb29sx88gRVCYS0KNRlCkKRgcHbbskjh7FsR07sLSyEplMBqOahl3t7ViQShn9pKpIjoxAp8ZMMBhEpLoa6YEBZMzykydOQOnvxzQAIydPYid1j2hNpRACcsYer5+qzesnFo0Cqor29naEjh/HPPMc3tg7tHMnFppjr+vgQQQHBzE1kcBwdzemAxjq70eIuiY1RUFcVXH06FH7w2AAsHBwEOUAUgDURAJH9+xBf3s75vb1oca8R6iUDUKjowirKkaTSWi6jh3vvot5IyMoV9UcnWaY94hobS0UVUX3oUPooWxjjb0db7+NBWb9BLDH3tjx44jRYy8WQyaTQU9XF1KqihmJBNLDw6gJBDA2NoZkXx86zfrpsTc8GeGDEhISpwySYDO48MIL8dWvfhUdHR0455xzUFZWlrP/4osv9lTPwYMHceONN2LTpk2eFyquWrUKq1atsrdXr16NxYsXY8OGDbjzzju559x22224+eab7e2hoSE0NDQgFouhvKYGGBxErLoaOHIE4XAYs5qaoC9YAIVKRVhWXY22tjZ7mxACBIOIxmJYvGABSHU1SDwOlJUB6TQaZszAbOv4gwdBFAWIRrPpDWtr0bZiBUAIiKKMT3sYiSCQSGBOYyMQCoHE44jNnAkEgwiafzkIBlFfX4/p06dDqanJWRgUDocRNhdw6bqOhEnOI5EI6mprMbWtDQiHoQSDQDSKaCwGADh76VIgHodieoFi8Tha5swB2bfP0BUANA1zGhuN7epqYGAAUFVEo1HDXqlU1o6mTrau1PG1tbWonTXLrjdWXg4AqKutzbYFoLGhAVBVW6dFLS2G7UMhIBpFJBJB48yZQCSSc168qgq6riOZTCIWi9nT5WctWQJUVBh9WlUF0tMDAJjT1AS0tYG8/rpdj91PltzxOKCqCAQCOeXzmprMLq4FpkwZZ5vq8vKsnlVVqG1sBHp6cvqpdelSkKoqIJOxU1/Oa24GOXYMxOz7abW1qGtsNOxr1Z/JZNcxaBoUsy8RjSIWiwGqirPOOgsB06MZjUbROHPmOBkrKyuxZOHCnGsAmQxChCBkli1saQH505+MMVZejnAmY497QgjQ2WnoZNWbM7wNnZYuXAg0NhpjD0A0FsOcxkbobW0gmzeDBAJAJIIYe32YcerWWDp7+XKQKVOAwUFEAgG0tbWBTJ2ao5emaXbfx2pqULtoEXDwIILBIMorKtDW1galqgo4eRJQVeOjRJzrku6n2MyZgBmuVhaJ5NwjLN9pvLo6e35NDdDfn9NPZNeu7FhVVaOOAwdybM+OvZY5c4A330QgEEDz/PkgJ04Y94jaWgBAZVmZUWdVFfSBAYyYL27WPcKW0bzvRiorAU1Dc0MDmtraQN55J6efsicYYUvWPaJtxQooU6YYLxCqmtXJsn0sBoyOYsa0aainbWOOvdalS3PHmDn29KqqnOsXMF5wZtXXQ29qgmLpGgggFAohFI/btieE2PcI9tkkISFRWpAEm8H1118PAHjggQfG7SOEGFOvHvDmm2/i2LFjWLFihV2mqipeffVVPPzww0ilUgjwYp8phEIhLF++HJ2dncJjIpEINz83IQQkGgUGB0HMlfEEMMganVEAMAgA52MzBEDAENwoM89TdD17vBUnStcZChm6BQL8eEEzjIPour0IiITDQDDI/3hCMGgTYXaBX87xhNiLvQjMRW+BQHahkdkuLL0o+QiAACWPpRthv4SnqgAh4/uOqjvn+EzGkJ2q11qMpzALCIlZf46MlH1Zm9nnRaP2YkZihgzk6EjXY+kZCPAXh9Ff/LNkIcTuX0vrHJ0o29A6ESrWmrZNQNfHlQeAHL0UWk+q/gBHH4TDRt+b++m+4fUfIQTjrjxVzVkoSNuemOcSetxbsvOuPboO6kMzbmOSloWOuw2Y14ald4Duu0jE9n5bfW+3YcloXY9UHDd3QSgjCwmH7X4nVrtATnw4ofXn9ROzyM/xnmeeb91zCIBAKGR8Kh7ZvrTHmDnurX5T2JAJUf9Z9xy2fXrMK4rRNmWzcTpZtqHHBQXuGDPHKQv72rZkDoXsezBo21O2Icx9XEJCorQgCTYD7gcLCsCaNWvQ0dGRU3b11Vdj0aJF+MpXvuJKrgGDkHd0dGDt2rWFCUGTQpVanc62Lcoiwp5L15cVMnef1Yb1yyPYFPl0lIutj/2fA8dsCmyqMvrX+p/dturj6U63xRIt9niezdgH7djY+K/csbJnOFlERB9A4rXp1D4rN73gyumDG7xznNoR2YQ9l62fVze13zGLCNsfvAWUbN/mO+5ZeOl73vmsLE5ZRETn079sikt2MaoFti7RQjvazvQ59NdbLXgZD2xdbmOP7VO3LCLs+BG1z96P6F+eHrxxydbHk0fUPnufdssichp9+ExCwo+QBPsUoaKiAsuWLcspKysrw5QpU+zyK6+8ErNmzcI999wDALjjjjuwcuVKtLS0YGBgAPfffz+6urrwuc99rjAh6AeAdbPn5Zv2mkWE94lsdh99bjCYm+fVAl0Pb9W8SBaRrBTKnT4ZTX/6WJThQbTNe5jS/7PeJNZW+WaScGqfPc/cF2ZlyCebA09ut4wGPNl4+0XZFNhj3WwvIm6mzPVTp4qziDj1h0j2fMc9Cy99zyNJtCzW10tFebDN9sNO455HFp363oKXLBo8D3Yh445uXzT2BLaLWJ5eFl77nj7eyWZsvfkS7Hzb5xFsK80l3b6EhERJQhJsBnfccYfj/m984xuT1taBAwdypjX7+/tx7bXXoqenBzU1NTjnnHPw2muvYcmSJXnXTYBcj5KTp9iJYPO8qDyPHI9gi8gwXU++BFuQAxowdI7Q08Ssx8gKhTGngrm6iLyYTrrTn4bn6cieJ3rQ8j72wmufPc+c2g+xMhTiSaTJCG/MOJFM3gwArx2RTUR94WR7cz8BUF1RMT6zgqgOViZeHvCJEmwvHmze+bTu7BdMOeeP63s3gs0bQzxZRP3O2H7c/4XMnNDni8aek+68BX+ivhcRXPZ+RP863fOcPNK8bS8ebDpsT2BPGSIiIVHakASbwa9+9auc7bGxMezbtw/BYBDz5s2bEMF++eWXHbcffPBBPPjggwXXT0MHvIeIuHmwrXOtxZq8Gz69kJP2YPNA1+MkF08+Bw+2DmC4rw/lyMYz58hotWGmoOPq4hamwNOdF8PO2soL0eCRPF777HlmHO5oMoloLJb15olIkdNUOa9v3D64IfKuuxFska3ZbbcQkXAYOoCuPXvQ8Dd/My5eNUcvke5Otvc67ll46XueF5L++qnIk0q1P67veeMe4Id90WB1cZu5YOV3ukZ4conadxt7lO0s3cOpFALWoldWTqdrkQZ7P7LaF+nB05etjyeP6HgvL7XUuZok2BISJQ1JsBm8/fbb48qGhobwmc98Bp/4xCeKINEEwJty5YWI5BuD7USy6HNFZJhHFnly8eRz8GAD2RzTOXLy2uA97AolefR0rgWnmF+vBJvuNx75sGD2s+b1q4tORIMXB+vmTRORf5HH0AvB9hoiQvVp2swpzG3LKSYe8P5yI6qXB9EYo/eJzhcRbAFB15jFhDm/PC+4U99bEH0qnXm5scG+xIjOE3mQ3e4LrF70uOfp47Xv6eOdbGbBaVzy2me3vbZPL+jlff1UhohISJQ0ZKZ6D6isrMT69etx++23F1uU/DAZHmyaaDktYqIftG4EmxdS4JVgF7LI0SmWmJ32FxFsp+lvnk3ZsAIvBJeNVxe1z55X6CJHtzAB6wt7boscRbKJPHb5vtx4tD0vO4OwDvZYr+E5onp5EI0xL+dbY0HkwXYKURERbF7YFw22LjeCrSh2ho+c80XjzsmDS0i2LtH9SvByIazTa99b0PXsmOfZzK1eUfvsttcQFfqeYsVd03W6OBskJCSKC0mwPWJwcBCD1AdTTgsUO4uI6AFQrCwi7MOa/hy1VcbqlqcX1UYhWUScvKi8+FS2LRZuBNvNi0l7UUs1iwhNsCeSRYQ3e5DvuGfhpe/dPNhuMdjvVRYR+lrheVmBiWURYa9Np8V+PO+/E8H2mkUEcA/NcaqXhWjmxomQ031G31N441aGiEhIlDTkKzCDhx56KGdb13V0d3fjP/7jP3DhhRcWSaoCUewsIm4ebFG2AJEsTnUGg0Amg1gwmCUCvMVedIgIz7PK6uaUMcBJ9kKyiLAebFH77HlWNgWWIPHadGqflpuWp1SyiGiaQfQI4Y7nGXV143Mhi8ZuPrZ/r7OI0PKIQkSY9nP6njfu6V/eGOLpwo7rTMY4RjTuJ5JFhI055rXBnh8KAYQgEolAcXq58ppFBHCfOaD/f6+yiADj+z0QMHJlS0hIlCwkwWbALjJUFAV1dXW46qqrcNtttxVJqvzhuywioRBIJoMg65Gmf9lYYp5nlSV9eYYpcHVkzxM9aCeYRSTIylCIJ5HuR0ueU5FFxCLLdF3subyxRX1EhZaNACijPrgzTga3MAFeeM5ECbYXD7ZbiIjHLCJBlgjTvzySXgjBdpoRos8vZOaEHWOiWSemfRIIIMjORLHtec0iAuSOefrX6Z7n5JHmbXvxYLOzA+xLaSBgf/VUQkKiNCGvUAb79u0rtgiTAt9lEQmFoCeTSCYSiMXjzllE2LZpXdzCFKyHOb3gqESyiOToDvBJNV3uFiZAhyl4nSr3GiLCmz4XEWzWO8sh2DqA/Z2daFSZrwWy41Oke6FZROjc6iy89H2+HmxWfjOLiOu4t2S16uDJ65RFhK5P5GWdSBYR0cuvUxaRYBC6oiCZSCCSSo3/cqJ1vNcsIsD4EJFiZhGhZ2M4uk/OJ9EkJCROFWQMtguGhobw3HPPYfv27cUWJX/4KYuIqWtOHg3OQymHZBRK8ngEpphZRMy2mRwi2ePYLAtORCMUyj7YeQTbjWjw9rvZmVfGCxHh1Un1qc7zTIrIUKEvN2y9TuOWR6hY+Scpi0hO37PHsF5wayEfC6csIrx62XE/kSwi7IJKnn0FL8w62w6QGzPuNYsI4B77Tst/qrOIEJK9Fnl96rIeRUJCoriQBJvBpz71KTz88MMAgGQyiXPPPRef+tSn0NraimeeeabI0uWJ9zKLCB0PWIwsIrx4RJ7HzcmD7TVMQfCgz8F7mUXE8qKyoAk2r1xEdCxdaC9qIVlErPRibnbmnSuyPWeq3F7kyCMuPBlZPYDCs4g4ER2enVn5i5FFhPd1VV5d1riywm7cSN5EsoiwY4x3bTkRfLZO2kPvNYsIMD40Z7JDROgvMfKOZ8N6nF4uZIiIhERJQxJsBq+++io+8IEPADA+OqPrOgYGBvDQQw/hrrvuKrJ0eWIysojQ08lOnjza8+kWInIqsog4EWzRw9oLycvTi2rjvcwiIno5cfIg89oHcm000SwiAJ9gi2zvFp7Dk50m2MXIIuI0blWVn6mG/i1GFhFWVwu8LCL0L29GyI1g03a24u7dxh1LNEVZRERpBNntUsoiIiLX1n62z0S6O407CQmJkoAk2AwGBwdRW1sLAHjxxRfxyU9+EvF4HBdddBF2795dZOnyhNcQEScPNv0wdlrsRd/wvS5yFGULEMniVKepU4yOI+Ut9nIKEWHLRGEKvHrdPNhesikUmkXE7NMYG0MrascpmwGty0SziIjk9XIcO2bZqXLOeJ45bdp7n0XEadyK9KR/JymLSE7fW15S0SJHrx5sN+85q7tbFhFLfrdxJ7ovCK7nWDQ6PosI3UYpZRFxapvVm/7lEGyZRURCorQhCTaDhoYGvP766xgZGcGLL76Ij370owCA/v5+RJ0+i1xqoD8C4ebBdiLY9NS516lyrwSb9VR5IdgOWUQAgNAEy2lK24sHmyZI9MPMyTNuYTKyiPBebngExSQahCWXIk+1Vw92IVlEvMZbu5FudszSL0a07JRsQTaDCH2cJaPlUWZlKjSLiJsH2832XrOIiMIkzPO5fS8ia+w4s+BGsN3GvVuIiLXtNu5EM1uC9gn7hUOrDpFcTiT3VGcRcfKe0/vZfueNe15YmISERMlAXqEMbrrpJlxxxRWYPXs2Zs6ciQ996EMAjNCRs846q7jC5QNC+GQyX4JNkzynbAo8DzaPDCuKe6ylSBaRrIBNgBOJxHjZ8gkREYUpuGQzGCeXU4iIaKqcnbqnt52yiJgP2xzdeXK6lVt1Wf1TSBaRQsJBeMeJxoZDnx7q6oLGejKt4+iXY55MvBARqy63cS966fNCsL16sEUvGKZs4/reKdxAFCLCyyJCn8cLU7D2sV9ipOUQyUWjwCwi1rjXeOFVFgpZ5CjSnf6/kCwiTm2zLxb0L0d3XRJsCYmShlwlweD666/Heeedh4MHD+IjH/mIPeU8d+7c0ysGWzTlmm8WER7J45Esul6nRY5esgWIZBHJCvA9gewiu4lkEbHIBF0mIllOcaO0bPkQbKcsIqKXk0I82LSNJppFBPBmZ14ZO2ZFU+VOcbg8GUXts7anM21MJIsIT3da/knKIjIOPG+oG8HmZRGhf53GPXtt0XLQEIVJTCCLCLcda5udyeMdS+NUZxFx8p47ebBZ2WUWEQmJkock2Byce+65OPfccwEAqqqio6MDq1evRk1NTZElywMsySvUg01PnfM8VLypcvbhRMPJUzWRLCKic9lYVCcPtlOYAo/kiR52vJAKL548NkyB3nbLIuK0yFFEPkREhxeD7dWT50VPL55u3ssNLTNnPHvKIiKSyavt2XrdsojwdKfPd/Ngi4gWG77i1PZEsojw2ubpLiK7Xj3YdB+PjWUz3zjNXgSD0N0WOTpdtzzkk0WkEILt1DZNwEUedNFLvYSERMlBzjExuOmmm/DjH/8YgEGuzz//fKxYsQINDQ14+eWXiytcPhARWR7B9uLBZkM7LPBu+E4x2E6xlrwYWrYelxCRcRDp7oUMsg88L1PlgLeHOo9kOnmwnbKIuHmwRV5UEdFhw4N4utNfYiwkBtvNu+fUb/QvTbC9ZBERycmSTlF4Dl0HKxsLkZ70r4ggi0IVvBJ0p3CDU5FFRESwvYwH9nxaPq/XncjOXl52aeSTRYQXm0/Dq+68/V7Cc6QHW0KipCEJNoOnn34aZ599NgDghRdewL59+7Bjxw586Utfwte+9rUiS5cHROEQVkYGmsx68WCLpoB5N/x8CDZ9Ph03zpNFVCdgE+x4PJ5bzrZRaBYR3oNa9LBzOlbUFiD2otLxrbzzzL7h6i5qm1fOyu6URYQ+973IIuIhRMQxiwj9ApSP7YGJZRFxsz2dIYXXPi9EhI7fN2VzHff076nIIsKbZWD/Z+Vi2+LJ53LdEXPcC7OIeLkWacgsIhISEpMESbAZ9Pb2or6+HgCwceNGrFu3DgsWLMBnP/tZdHR0FFm6PCDy1vLIrxOp5WWScJsq90qweVOibgTbJYuIzlvkJpouZkkePTUNjPcCevCi2tuiqV1aLvZhy2Z3ENmePc9sj6u7qG1eOduWUxYR+twSySKi8jyzvL7nEXyWdPKy5+RLsL14sNnZD1YeXqgC5yMq3L4XXVunIouIW5w+ve113LHlgvZ10ceMROc7kVyZRURCQmKSIK9QBtOnT8e2bdugqipefPFFfOQjHwFgrNIPnE5TcooyOQSbnjJ1etjwPNg84sCST9GUKE8WkayATbCTLHlwIsluIRoicu40Vc5rh/7l1S1qXxSiwQkR0RWFrzuvbaepcrotpywi9LmTkUXEjWB7IHnHe3rEWUTcXq5Ets8nNIqFV4LNG9NOWUToOs3Fr+P63unaOhVZRNzuDzy5aND9Q8vnct1Z416YRcTLyy4NtywidGgUHTrEfi2V1w7v+hDtF3nQKd01SbAlJEoacpUEg6uvvhqf+tSnMGPGDBBCcMEFFwAA/vznP2PRokVFli4PsF5Hdqo8GBzvJaPBI1lOWQLo/az3ha1XlC3ATRbRfvplggXbhlOIiBPBdnpQsySLl/nAi2dXRPJENrMgImmFeLDptpyyiPAINk82np1Fx4nO8xgiwtWH7ft0emK2F9XLg0h3Wn4RQXfKIsILz2HhdG2VehYRSz5Ccl9w2PSWIlJPb/P6zwvBdtMdyLWXro9fQ+LlxZLdL/Jgs+07La6VkJAoCUiCzeBf//VfsWzZMhw8eBDr1q1DxLyJBgIBfPWrXy2ydHnAzVPs1YPt9Wt+7HQx/UtD5El0I+VOsgaD4gWS9EPNzYPN+9iIyANK/zp5sEXeYi/ti2zPnicieW4EW0R0eH0vIhps/mMvenoJ0RC93DiEiDhmEXGbBXCyvRvBzidExG32g22fR7ToOs/ELCKiOGhAnHbTiWC7zSbR8PqBH2D8111Z+3nVnd7PhvV4famXkJAoOcgrlIN/+Id/AACMUtOuV111VbHEKQi6iMjyQjG8eLC9hIiwDyURcafJpxPxp8/h/U+XmdOl42g2q3u+ISI8T6ObF9LLQ51HMp28qLTN2P4y9eLqTsvJlouIDi88yIvuPA+dV9LtZnsPISIKb5peVIfbIsdCQqNYiHT3cr5TFhEOwR7X907X1umSRYR3r+Jck4Rtk9728rJLwy2LiOjlhlenV915+72E58gQEQmJkoa8Qhmoqoo777wTs2bNQnl5Ofbu3QsAuP322+30fYXg3nvvBSEEN910k+NxTz31FBYtWoRoNIqzzjoLGzduLKg9RRQOwfMUe/Fgi6aARRkFnOrlha5MAsEmMLIp5JANtg2nEBGWZLHnsg9b0UI3p2N5dYva53mweecFg1CCQb7uorZ55WxbovbpX3qfrud+oEUkrxfdgWxdvDhcJkSEAJg+ZQrGrZMQ9V+htneql4VId1Z+Jw82e13QBNP8iIqncU//8mxNCP/Fjf516nveLAP7PysX2xZv3NG/HL2scR9gX668XLc8uGUREYXn8Or0qrsF+vrxYPuAaPZCQkKiJCAJNoO7774bP/nJT3DfffchTN3Ali1bhh/96EcF1bl582Zs2LABra2tjse99tq27Lw1AAAgAElEQVRruPzyy3HNNdfg7bffxqWXXopLL70U7777bt5t6jyPEMB/aDmR2lOZRSSTyWZE8Eqwed72QAAgBDqAjKoi51HrFObBepPYhWJOH6mhf3kE2y3uk+dFnUAWET0Q4OsuaptXzrbl1Pci3Z1CPZzKeJkt6PadpsoDAegAUokEdJZoiTyZbiEiThlU6P8nw4PNG9NeQkQo3bl9LyLYPFvz5OCRe1Z22tPqdH+gt72OO54zgPHM64pi6C56keGNXSeS65ZFhJadTpPH0ynfEBG6fbcQFVN3CQmJ0oW8Qhk88cQTePTRR3HFFVfkeMPOPvts7NixI+/6hoeHccUVV+Cxxx5z/RLkv/3bv+Hv/u7v8M///M9YvHgx7rzzTqxYsQIPP/xw3u3q9MK/iRDsU5lFhCeX6Bw3Wc2HTYrnhS40RIQu43lRecSd1w79a8FL+/lkEQkE+Lrz2naaKuf1Tz66eyXYbgtM6TKPBH+wr2/ys4jQ59EZJNwIsqgdryEiTp5Uzrnj+t4p3IBna54c7HlO4UFu9weeXDRoO4vCNNjzg0YWkVQqBZ2dOeH1j9OLpQW3LCJsiIa19sMLwea92Lm173DdaaJ1JxISEiUBGYPN4PDhw2hpaRlXrmkaxtibuAfccMMNuOiii3DBBRfgrrvucjz29ddfx80335xT9rGPfQzPPfec8JxUKpXzcB0aGgJgEGyVEOMNanAQBIAOGDdlVYVi3rgJANUss0AIgRIMGh6xwUGjvkAAJGDE+eqJBPDxjxsH9/QYvybJI4CRPopqw6wU0HXogcC4umHKFTDboY8HABIMQtM0wzupKPZbISHEKAsEjF/Ke6lb53/hC8DJk9l6zFASPPmk7YGy67Hkodq2yjRCbP1x551GSjPLNoqS1cnUQTdtTwYGoH/840AikVM3uekm6KZcdntWP1Hblm2JVT89zUwIiK4b/We+YFg2IroO/emngU2bsl4xq97ubqP/LB0pfTVCQEwbkcFB6KZ+umX3V14Bufhi6BQR0CxdAeisDb/2NZBUypDdKnv6aeCFF/i6mjrR40MjBIo19r71LeB73wPMcW57cXUd8e3bQS65xKjTIh+mrXLquPVWYHg4tz9MXcHIkzNmAMNuhIAcP25fT5a9bNmtOn77W+APf8gdY729Rh2m/UgwmB3znPZ1RYGuqoB1Lbe3A9dck7U9sl4Sq++h68A//zNIMpntP1Ud16854zwYBFGUHC+4RgiIpmXH9v33A9//fs71ZN1jcsZ8f78x5gHgxIlcvb7yFSCZHDfudEWxz7evg2AQmnlfUqx+uuIK6H19tnwWASUbNkD/z//MCm+O+Zz+Gxw0bD8ykjv2OOOAtTv5y18MnWiCresGAR8bA/7v/82ScWvs9ffn1v3ii9CtrwHT9zdrbFgygnM//N73gMcey8puXncSEhKlC+nBZrBkyRL8wXwo0nj66aexfPnyvOp68skn8dZbb+Gee+7xdHxPTw+mT5+eUzZ9+nT0WCSWg3vuuQdVVVX2X0NDAwCgf3AQW3p6MJLJIG0S8GRVFdq3bUN7ezuOlpXZLwwHCUF7e7v919fXBzQ1YTSZRGJkBIlEAsdiMQwFAkBlJZKJBBJ79hh/IyPQgkFo06fjSDiMRCKBnaOjaG9vh9bYCF3TkEgkcHTRIiSSSRyNRoFp06CGw3bdQ9Eoduzfb8hYX49EMoljCxYgkUgYLw/Nzejp6UF7ezt2jo4ikUggnU4Dq1cjpWk4Xl6OIz09SFoPbgDD06cjkUggcfAgEgMDyGQyQGMjDgWDRnlvLxLd3VBVFfjAB5AYHbXl6aurg1ZXBwBIjIxgWFWxpbsb3WbMpX7ihKF7by8SiQT2A0BTE1RVRSKRQE80ine6u5EAAF1H5uBBJBIJnCQEvQ0Nhk69vRgbHjZss3ixoZPZT0PLlxsymvKM1NUBFRVIRKNGuVnX6JIlQDCI3SMjOGKGMyWTSaRXrzb+7+015Dx8GIlEAur/+T9AKGTUu2ePYftQCPrSpUY/JZN4d2AAh0IhJBMJQNehqir2qCp2pVJIJBIYHRgAjhxBpqcHiUQCvRUVaH/3XYxUVwMAxsbGMDI2huPz5hk6HT0KmP1l6Zk4cQJjx48DAAaWLcNIKmXrmp49G5g92x57I2Nj6Dh+HKMzZhg6dXcbsh8/jkQigbFZs6A1NCCZTIKMjSG5dy8Se/YAR45AP3TIsFUwiPa9e3G8vBwAoB47hkR/v2370WTS6KdMxhinpu3tsXfyJIYiEaN8716ku7qATAbpsTFsHRy0x9TIueca115bm3FsXx8Shw8bY++885DQ9Rzbq+XlQGUljsXjdr8eXbTI/mhMIpHAXk1De3s7ticSRhjU6CgSXV1IJBI4UVmJLR0dQFOTcXwmg+PNzUY/HTkCjI4ik8lgVzqN9vZ27EqnDZ10HWNjYzjW0oJEMmnIPnUqQAgS06YZ22Nj2NLTY9x7mpuRSqWQsGx/7JihU1MT9mYySCST6AmHsaW7G2o4DOg6ktT9YVhVoZ5zjiHj4cOGXUzbA8ZHcroIwbZEAolkEsmREQBAeuZM+57UX1Nj9NOxY8iMjiKRTGLr0BAOWaT25EmMHTiQvS8dPmzcI5qbcTCZxDBl+7GxMaCyEkPmGE0kEji2cKGhk65jNJnEHlVFe3s7diSTxj0inTZ0Mm3fV1WF0dFR6E1NRh1dXXbb9tg7ccLWM5lIAIkEVHPcHp83DyPptKFTSwvSdXX2uBsZG8N+8wVhqLbWKO/pQWLPHqR7ewEAJyoqsO/gQeFzQUJCovgg+rigRX/jv//7v3HVVVfhtttuwx133IH169dj586deOKJJ/DrX//a/vCMGw4ePIhzzz0XmzZtsmOvP/ShD6GtrQ3f+973uOeEw2H89Kc/xeWXX26X/eAHP8D69etx9OhR7jk8D3ZDQwOOb96MmuXLgb4+kO5uKIoCrakJuvVJ5UwGZPduKHV1UKdOzamTEAJFUaAeOGB4YRQFWLAASjgMcvIk1H37co5XZs0CpkyBlskYHrpp04xyRQH274c2OgrMn2/smzIFgVAIel8fNOsB0dwMlJcjEAhAS6ehDwwANTXArl1AWRkCzc1ZDzYAHDkCMjQEZdEiaP390MvKQL7/feAXv0BqdBTRWAzar38NHDuW9RJNmQJl9myomQywb5/tUVbCYZCFC6EePWocDwAtLUZGin37jJCDWbMMeTQNyu7dgKpmQxHicWDOHASCQeiHD0Pr6wMWLjQ8XAMDCHR3Z2VvaABiMWD3bgQUxSivrgZmzgT27gUZHYUSi0GbOxf6kSNAX5/hjV6wAEokArW/HzhwwGi3oQGkrAzKyAjUqiqoY2PYv2kTmhcvRmjePJD9+6FaXl6jM6AsXgwMDkI7dChb3tQExZRJq6sDpk41QiF270ZA06DH49BMAodDhwydAgFDdsDo13AYSCQQ6OoyymfMAKqqgJ07QXTdGHvl5dAbGgzbj4wYYywUgtrSYuhpvkSSlhYohEDdvdtoc+ZMoLbW8CLu3g2VDoWIxaC0tACEYOzAAXS99Raam5uhKIr9yXRN04DGRqCyEhgbQ2DvXuhW/1VXG327bx8CqRS0YBB6S4shy4kTACEILF4MLRCAPjQEdHXlXB9aXR10y169vSDTpkHp7YU6ZQpw8KDtZSeBAJRFi6AODACHD2e7pLkZpKrK0GnXLqC2Fpg+HcqePUA6DS0aBebMsT2iyrFjQG9vduzNn28stEsksPd//xdNq1cjUF1t1KVpRj9VVECfPTtrs4MHERgehgZAX7AAGBgAuruNMRaLQRsehr5njz3mienBVXfsyFnASmIxKPPnQ9U04PhxQ/ZAAMrQEMjhwwYptTBrFpSqKmDXLuMeARj90dAApavLuJ7mzjX07OkBenuN66mlBZpFoJNJYM+e7NirqzNe1DMZ7N+0CfMaGnI9wZbdFy+GRgj0/n5j/Fr919QENRIxbGWOe9LZCUVVocZixj3J6qeeHpD+/lydWlqgxONAMgnNGqv2pUaNvbIyow8PHEBgZAS6rkMDjHvE4CBw5AgCCxZAU1XD7tSYDwQC0DIZ6Lt3Z2c8CLHvEX0HD6JuzhwMDg6isrISEhISpQVJsDn4wx/+gDvuuAPvvPMOhoeHsWLFCnzjG9/ARz/6Uc91PPfcc/jEJz6RE8etqqr9cE6lUmAzHjQ2NuLmm2/OyTTyzW9+E8899xzeeecdT+0ODQ2hqqrKfzfdBx8E6Cnil18GTI+lhISExJkG397rJSROE8gYbAqqquJPf/oTWltbsWnTpgnVtWbNGnR0dOSUXX311Vi0aBG+8pWvjCPXALBq1Sr87ne/yyHYmzZtwqpVq/Juf9xirzMdZvxoJpNBMBgEEWV2OEOhaRr6+vpQW1tre9D8BD/rL3X3r+4SEhKlC0mwKQQCAXz0ox/F9u3bUW3GlBaKiooKLFu2LKesrKwMU6ZMscuvvPJKzJo1y47RvvHGG3H++efju9/9Li666CI8+eST+Otf/4pHH3007/Z9NzFhTqOn02kEffgZYV3X0dXV5Zqp5kyFn/WXuvtXdwkJidKFv175PWDZsmX2x2VONQ4cOIDu7m57e/Xq1fj5z3+ORx99FGeffTaefvppPPfcc+OIugQHLKGWnxGWkJCQkJCQKBIkC2Fw11134dZbb8Wdd96Jc845B2VlZTn7JxLr9rKVokmwDQDr1q3DunXrCm7Dt2BTVskUVhISEhISEhJFgiTYDNauXQsAuPjii0EokqbrOgghuSvJJUoHZvxlwPrghQ8Jtt8XOvlZf6m7hISERGlBEmwGv//974stwqSAt4jyjIb5MYloJOLL8JBAIID58+cXW4yiwc/6S939q7uEhETpwn9MxAXnn39+sUWYFPhuhTkh0GF86CQUj8Nv/mtN09DT04P6+nrfZVMA/K2/1N2/uktISJQuJMHmoL+/Hz/+8Y+xfft2AMbXHa+++mrU1tYWWTLv8N0Kc/PhOjY2hpAPPTu6rqO7u3vcl0D9Aj/rL3X3r+4SEhKlC3+98nvAq6++iubmZjz00EPo7+9Hf38/HnroIcyZMwevvvpqscWTEIGOufYhwZaQkJCQkJAoHUgPNoMbbrgBl112GR555BE7xk1VVVx//fW44YYbxn08RqJEQE8PS4ItISEhISEhUURIDzaDzs5O3HLLLTkLSAKBAG6++WZ0dnYWUbL8QPyWRcMk2MFg0JeLHAkhmDJliv/63YSf9Ze6+1d3CQmJ0oUk2AxWrFhhx17T2L59O84+++wiSFQY/LbgB4SAAIiEwyA+JNiKoqC5udl//W7Cz/pL3f2ru4SEROnCf0zEBV/84hdx4403orOzEytXrgQAvPHGG/j+97+Pe++9F1u2bLGPbW1tLZaYrvDdCnNFgQ7jU+lhM2Wfn6BpGg4cOIDGxkZfPnj9rL/U3b+6S0hIlC4kwWZw+eWXAwC+/OUvc/cRQk6Lj874boW5OV2ayWQQCgZ9R7B1XceJEyfQ0NBQbFGKAj/rL3X3r+4SEhKlC0mwGezbt6/YIkgUAnpho1zkKCEhISEhIVFESILNoKmpqdgiSBQCmaZPQkJCQkJCokTgr6A1H8F3K8zN+MtQKOTLRY6EEMyYMcN//W7Cz/pL3f2ru4SEROnCf0zEJ/Dbgh+YCxvDoZAv0/QpioKZM2cWW4yiwc/6S939q7uEhETpQl6hZyhKeQHmKQEh0AGMplLQfPjgUVUVu3fv9l+/m/Cz/lJ3/+ouISFRuvAfE5E4M2GSalVVfenBBoChoaFii1BU+Fl/qbuEhIREaUESbIkzA3KRo4SEhISEhESJwJ+uPgfU1NRwF48QQhCNRtHS0oLPfOYzuPrqq4sgnYQQdFiIJNgSEhISEhISRYQk2Ay+8Y1v4O6778aFF16I8847DwDwl7/8BS+++CJuuOEG7Nu3D9dddx0ymQyuvfbaIksrhu9WmJsEO+zTT6UTQtDU1OS/fjfhZ/2l7v7VXUJConThPybigj/+8Y+466678PnPfz6nfMOGDfjtb3+LZ555Bq2trXjooYdKmmD7boU5ISAAQsGgL2OwFUXB1KlTiy1G0eBn/aXu/tVdQkKidCGvUAYvvfQSLrjggnHla9aswUsvvQQAWLt2Lfbu3ftei5YXfLfCXFGgA0gmk9B86NlRVRVbt271X7+b8LP+Unf/6i4hIVG6kASbQW1tLV544YVx5S+88AJqa2sBACMjI6ioqHCs55FHHkFraysqKytRWVmJVatW4Te/+Y3w+J/85CcghOT8RaPRiSnjJ5ikWtN1X3qwAWB0dLTYIhQVftZf6i4hISFRWvAnE3HA7bffjuuuuw6///3v7RjszZs3Y+PGjfjhD38IANi0aRPOP/98x3pmz56Ne++9F/Pnz4eu6/jpT3+KSy65BG+//TaWLl3KPaeyshI7d+60t2WMXR6QixwlJCQkJCQkSgSSYDO49tprsWTJEjz88MN49tlnAQALFy7EK6+8gtWrVwMAbrnlFtd6Pv7xj+ds33333XjkkUfwxhtvCAk2IQT19fUT1MCnkARbQkJCQkJCokQgCTYH73//+/H+979/0upTVRVPPfUURkZGsGrVKuFxw8PDaGpqgqZpWLFiBb71rW8JybgbfLcAxtQ3EomAhEJFFua9h6IoaGlp8V+/m/Cz/lJ3/+ouISFRupAEmwNN09DZ2Yljx45B07ScfR/84Ac919PR0YFVq1ZhdHQU5eXl+NWvfoUlS5Zwj124cCEef/xxtLa2YnBwEN/5znewevVqbN26FbNnzxa2kUqlkEql7G3rq2aaptmLYAghUBQFmqZB13X7WKucXSwjKlcUBYQQbrnVppfyQCAAXde55ayMovJxOuk6FPNYEgyeGTq5yM6Wl5eXQ9O0M0onWkY3nSz9zySdvJQHAgFUVlaecTp57afy8nIQQs4onUTltE5sPRISEqUFSbAZvPHGG/j0pz+Nrq6ucTc83k3WCQsXLkR7ezsGBwfx9NNP46qrrsIrr7zCJdmrVq3K8W6vXr0aixcvxoYNG3DnnXcK27jnnnuwfv36ceVbtmxBeXk5AGDKlClobm7GgQMHcOLECfuYGTNmYObMmdi7d2/O54abmpowdepU7NixI2cBUUtLC6qqqrBly5acm/uSJUsQDofR3t6eI0NbWxvS6TS2bdtmlymKguXLl2NoaAidnZ12eTQaxdKlS9HX14euri67vLKyEvPnz0dPTw+6u7vtclan8j17MDuRAADECDkjdLJwJvWT1GnydWptbcU777yTc7863XXKp5+seo4ePXrG6OSln1gbSEhIlBaIzrJIn6OtrQ0LFizA+vXrMWPGjHELDauqqgqu+4ILLsC8efOwYcMGT8evW7cOwWAQv/jFL4TH8DzYDQ0NOH78OGpqagCc+Z4cXdeBP/0J5EtfQjKZROz//T/oX/jC6a+Ti+x0uaqq6OjowFlnnYVQKHRG6MTK6KTT2NiYrX8gEDgjdPLaTwDQ3t5u634m6OS1n6xx39bWBkLIGaGTUzmtU19fH+rq6jA4OIjKykpISEiUFqQHm8Hu3bvx9NNPo6WlZdLr1jQthww7wXpwrF271vG4SCSCSCQyrjwQCOQ8bAFxzB573HtRTgjhlotkdC0PBqFbL0Mc3QuRMd/ySdepAFkCgYD9Unim6JRPOTvuzwSd3Mot4pfPNV/qOgFnXj8Bk6uTqF0JCYnSgCTYDN73vvehs7NzwgT7tttuw4UXXojGxkacPHkSP//5z/Hyyy/bH6u58sorMWvWLNxzzz0AgDvuuAMrV65ES0sLBgYGcP/996Orqwuf+9znJqyTLyCziEhISEhISEiUCCTBZvCFL3wBt9xyC3p6euzpdhqtra2e6jl27BiuvPJKdHd3o6qqCq2trXjppZfwkY98BABw4MCBHO9Ef38/rr32WvT09KCmpgbnnHMOXnvtNeGiSDf4boW5qW8sGvVtFpElS5b4r99N+Fl/qbt/dZeQkChdyBhsBryblhXbl+8ix2JgaGgIVVVVGBgYmFC8+GmHzZuhX3ed8f/114N89rPFlec9hhXbacWL+g1+1l/q7k/dBwcHUV1dLWOwJSRKFNKDzWDfvn3FFmFS4LsUTuaLUSKRQExR4K9HrdHf7e3taGtr82Vspp/1l7r7V3cJCYnShSTYDJqamootgkQhoL1XQTmsJSQkJCQkJIoHyUQAPP/887jwwgsRCoXw/PPPOx578cUXv0dSSeQFuchRQkJCQkJCokQgCTaASy+9FD09PZg2bRouvfRS4XGnQwy2b0ERbF0SbAkJCQkJCYkiQhJs5MaynSlxbb5bYW7qG4/HAZ9mEWlra/Nfv5vws/5Sd//qLiEhUbqQV6jEmQHzYaNrmm9DRNLpdLFFKCr8rL/UXUJCQqK0ID3YAB566CHPx37xi188hZJMHs4UT7xnmIsck6OjiBICv1FsTdOwbds2X2ZTAPytv9Tdv7pLSEiULiTBBvDggw/mbB8/fhyJRALV1dUAgIGBAcTjcUybNu20Idi+Az1dKrOISEhISEhISBQRMkQERu5r6+/uu+9GW1sbtm/fjr6+PvT19WH79u1YsWIF7rzzzmKLKiECnabPZ54sCQkJCQkJidKCJNgMbr/9dvz7v/87Fi5caJctXLgQDz74IL7+9a8XUTIJR5gebAL4lmD7fdGTn/WXuktISEiUFuRcOoPu7m5kMplx5aqq4ujRo0WQqDD4LR4R5tcb4/E4EIkUW5r3HIFAAMuXLy+2GEWDn/WXuvtXdwkJidKFfPVnsGbNGvzTP/0T3nrrLbvszTffxHXXXYcLLrigiJLlB13Xiy3CewtCoAPIqCp0H3q0dF3H4OCg//rdhJ/1l7r7V3cJCYnShf+YiAsef/xx1NfX49xzz0UkEkEkEsF5552H6dOn40c/+lGxxfMM360wN0l1KpWCRsdj+wSapqGzs9N//W7Cz/pL3f2ru4SEROlChogwqKurw8aNG7Fr1y7s2LEDALBo0SIsWLCgyJJJOIIm1TKLiISEhISEhEQRIZmIAAsWLJCk+nQCHRYiYxMlJCQkJCQkighJsDk4dOgQnn/+eRw4cGDcV8IeeOCBIkkl4QiTYCuE+JZgR6PRYotQVPhZf6m7hISERGlBEmwGv/vd73DxxRdj7ty52LFjB5YtW4b9+/dD13WsWLGi2OJ5hu9WmJtZRGKxmG+ziCxdurTYYhQNftZf6u5f3SUkJEoXcpEjg9tuuw233norOjo6EI1G8cwzz+DgwYM4//zzsW7dumKL5xm+WwCjKNABjGUyvl3k2Nvb679+N+Fn/aXu/tVdQkKidCEJNoPt27fjyiuvBAAEg0Ekk0mUl5fjjjvuwLe//e0iS+cdvkvhZJLqdDrt2zR9XV1d/ut3E37WX+ruX90lJCRKF/5jIi4oKyuz465nzJiBPXv22Pt6e3uLJZaEG2hSLbOISEhISEhISBQRkokwWLlyJf74xz9i8eLFWLt2LW655RZ0dHTg2WefxcqVK4stnoQIdFiIjE2UkJCQkJCQKCIkwWbwwAMPYHh4GACwfv16DA8P45e//CXmz58vM4iUMkwPdiAQ8C3BrqysLLYIRYWf9Ze6S0hISJQWZIgIg7lz56K1tRWAES7ywx/+EFu2bMEzzzyDpqYmz/U88sgjaG1tRWVlJSorK7Fq1Sr85je/cTznqaeewqJFixCNRnHWWWdh48aNBevhuxXmZhaRaCSCgE+ziMyfP99//W7Cz/pL3f2ru4SEROlCEmwB3nzzTfzsZz/Dz372M7z99tt5nz979mzce++9ePPNN/HXv/4Vf/u3f4tLLrkEW7du5R7/2muv4fLLL8c111yDt99+G5deeikuvfRSvPvuuwXJ77sV5oRAB5AeG/NtFpEjR474r99N+Fl/qbt/dZeQkChdEF0uRc7BsWPH8I//+I94+eWXUV1dDQAYGBjAhz/8YTz55JOoq6sruO7a2lrcf//9uOaaa8btu+yyyzAyMoJf//rXdtnKlSvR1taGH/7wh57bGBoaQlVVFfr6+lBTU1OwrKcdRkagn38+EokEon/6EwJ+0h2Aqqpob29HW1ubLz1bftZf6u5P3fv7+1FbW4vBwUEZJiMhUYKQMdgMvvCFL+DkyZPYunUrFi9eDADYtm0brrrqKnzxi1/EL37xi7zrVFUVTz31FEZGRrBq1SruMa+//jpuvvnmnLKPfexjeO655xzrTqVSSKVS9vbQ0JDdpqqqAABCCBRFgaZpOamdrHLrOLdyRVFACOGWA+M9KqLy/8/emcdHUaR9/DczyeQg5OLIIYQAQS65FkSiruKCHOK1sLq6KLCiu7jiyuKKF68KviurK7CuC6Lr/a4swiqsCoIRCCqgLEc4wiFnAiQhISEJOefoev/oqZ7qnu6e7jly1vfzyWcmNT1d9VRXT//66aeestlsIISolivbqFXuY5MgwEI/j4hoGzb5aTtbTj9zu91txiZlG/VsYu1vKzYZPU4U5X5as01GjxNbT1uxSa+ctUnZHg6H07LgAlvBxo0b8fXXX0viGgAGDBiAZcuWYdy4cab2dfDgQWRnZ6OhoQFxcXFYu3YtBgwYoLptSUkJUlJSZGUpKSkoKSnRrWPRokVYsGCBT3l+fj7i4uIAAJ06dUJmZiYKCwtRXl4ubZOWlob09HScOnVKEuYA0KNHD3Tu3BlHjx5FQ0ODVJ6VlYWEhAQcOHBAdpEYMGAA7HY78vLyZG0YOnQoHA4HDh8+LJVZrVYMGzYM1dXVOHHihFQeHR2NgQMHoqKiAgUFBVJ5fHw8+vTpg5KSEhQXF0vlPjYRgsy0NIAQREdHtw2bAjhOBw8ebHM2Af6P08GDByX724pNRo8TnTNCbW8LNpk5TpS2ZJOR46TWBxwOp+XAQ0QUdOzYEd9++y2GDmkcXa8AACAASURBVB0qK9+3bx9uvPFG2Q+yPxwOBwoLC1FVVYV///vfePvtt7Ft2zZVkW232/HBBx/g3nvvlcqWL1+OBQsW4MKFC5p1qHmwu3fvjosXL0ohLm3dk0PLBZcL586dQ4+ePX320Vpt0ms7Wy4IAs6ePYvu3bsjIiKiTdikbKOeTS6XS7LfarW2CZuMHieLxYKCggJ069ZN2qa122T0OAmCIJ7zngnobcEmvXLWpkuXLqFz5848RITDaaFwga3gjjvuQGVlJf71r38hPT0dAHD+/HlMnToVSUlJWLt2bcD7Hjt2LHr37o0333zT57OMjAzMnTsXc+bMkcqef/55rFu3Dvv37zdcB43B5j+6HA6H03bhv/UcTsuGZxFR8Pe//x3V1dXIzMxE79690bt3b/Ts2RPV1dV4/fXXg9q3IAgybzNLdnY2Nm/eLCvLycnRjNk2Uld7QxAEnDlzhtveDmnP9nPb26/tHA6n5cJjsBV0794de/fuxddff42jR48CAPr374+xY8ea2s/TTz+NiRMnIiMjA5cvX8bKlSuRm5uLTZs2AQCmTZuGK664AosWLQIAPPbYY7jxxhuxePFiTJo0CatWrcLu3bvx1ltvBWRHe3wwQQhBeXk5unfv3txNaXLas+1A+7af295+bedwOC0XLrBVsFgsuPnmm3HzzTdLZefOncPChQsNC97S0lJMmzYNxcXFSEhIwODBg7Fp0yZpn4WFhbJ4yWuvvRYrV67E/Pnz8cwzz6BPnz5Yt24drrrqqtAax+FwOBwOh8MJK1xgG6S8vBzvvPOOYYH9zjvv6H6em5vrU3bXXXfhrrvuCqR5EtSrUV1d3e7ywrrdbtTU1HDb25ntQPu2n9vePm2nE+65J5vDaZlwgd3GoOmoMjMzm7chHA6Hwwk75eXlSEhIaO5mcDgcBVxgtzGSk5MBiCEo7e1Hl6YoPHv2bLubVd+ebQfat/3c9vZpe1VVFTIyMqTffA6H07LgAruNQeO6ExIS2t0FhxIfH89tb6e0Z/u57e3TdnYuD4fDaTlwge1h8uTJup9XVlY2UUs4HA6Hw+FwOK0ZLrA9+AunSEhIwLRp05qoNRwOh8PhcDic1goX2B7ee++95m5CSIiKisLzzz+PqKio5m5Kk8Ntb5+2A+3bfm47t53D4bQ8+FLpHA6Hw+FwOBxOCOGzIzgcDofD4XA4nBDCBTaHw+FwOBwOhxNCuMDmcDgcDofD4XBCCBfYHA6Hw+FwOBxOCOECuxWybNkyZGZmIjo6Gtdccw127dqlu/2aNWvQr18/REdHY9CgQdiwYUMTtTT0mLH9/fffh8Vikf1FR0c3YWtDxzfffIPbbrsN6enpsFgsWLdund/v5Obm4ic/+QmioqKQlZWF999/P/wNDQNmbc/NzfU57haLBSUlJU3U4tCxaNEiXH311ejYsSO6du2KO++8E8eOHfP7vbZwzgdie1s659944w0MHjxYWkQnOzsbX375pe532sJx53DaClxgtzI+/vhjzJ07F88//zz27t2LIUOGYPz48SgtLVXdfseOHbj33nsxc+ZM7Nu3D3feeSfuvPNOHDp0qIlbHjxmbQfEFd6Ki4ulv4KCgiZsceiora3FkCFDsGzZMkPbnz59GpMmTcJNN92EvLw8zJkzBw8++CA2bdoU5paGHrO2U44dOyY79l27dg1TC8PHtm3b8Mgjj+D7779HTk4OnE4nxo0bh9raWs3vtJVzPhDbgbZzznfr1g1//vOfsWfPHuzevRs/+9nPcMcddyA/P191+7Zy3DmcNgPhtCpGjhxJHnnkEel/t9tN0tPTyaJFi1S3v/vuu8mkSZNkZddccw357W9/G9Z2hgOztr/33nskISGhqZrXZAAga9eu1d1m3rx5ZODAgbKyX/7yl2T8+PHhbFrYMWL71q1bCQBy6dKlJmpV01FaWkoAkG3btmlu05bOeRYjtrfVc56SlJRE3n77bdXP2upx53BaK9yD3YpwOBzYs2cPxo4dK5VZrVaMHTsWO3fuVP3Ozp07ZdsDwPjx4zW3b6kEYjsA1NTUoEePHujevbuu96et0VaOezAMHToUaWlpuPnmm7F9+/bmbk5IqKqqAgAkJydrbtNWj70R24G2ec673W6sWrUKtbW1yM7OVt2mrR53Dqe1wgV2K+LixYtwu91ISUmRlaekpGjGl5aUlJjavqUSiO19+/bFu+++i//85z/45z//CUEQcO211+LcuXNN0eRmReu4V1dXo76+vpla1TSkpaVhxYoV+OSTT/DJJ5+ge/fuGD16NPbu3dvcTQsKQRAwZ84cXHfddbjqqqs0t2sr5zyLUdvb2jl/8OBBxMXFISoqCrNmzcLatWsxYMAA1W3b4nHncFozfKl0TpslOztb5u259tpr0b9/f7z55pt48cUXm7FlnHDSt29f9O3bV/r/2muvxcmTJ7F06VL83//9XzO2LDgeeeQRHDp0CN99911zN6XJMWp7Wzvn+/bti7y8PFRVVeHf//43pk+fjm3btmmKbA6H03LgHuxWROfOnWGz2XDhwgVZ+YULF5Camqr6ndTUVFPbt1QCsV1JZGQkhg0bhhMnToSjiS0KreMeHx+PmJiYZmpV8zFy5MhWfdxnz56NL774Alu3bkW3bt10t20r5zzFjO1KWvs5b7fbkZWVheHDh2PRokUYMmQIXnvtNdVt29px53BaOwEJbKfTibNnz+LYsWOoqKgIdZs4GtjtdgwfPhybN2+WygRBwObNmzXj8rKzs2XbA0BOTo7m9i2VQGxX4na7cfDgQaSlpYWrmS2GtnLcQ0VeXl6rPO6EEMyePRtr167Fli1b0LNnT7/faSvHPhDblbS1c14QBDQ2Nqp+1laOO4fTZjA6G7K6uposX76c3HDDDSQ6OppYrVZisViI1WolGRkZ5MEHHyS7du0K33RMDiGEkFWrVpGoqCjy/vvvk8OHD5Pf/OY3JDExkZSUlBBCCLn//vvJU089JW2/fft2EhERQV599VVy5MgR8vzzz5PIyEhy8ODB5jIhYMzavmDBArJp0yZy8uRJsmfPHnLPPfeQ6Ohokp+f31wmBMzly5fJvn37yL59+wgAsmTJErJv3z5SUFBACCHkqaeeIvfff7+0/alTp0hsbCx54oknyJEjR8iyZcuIzWYjGzdubC4TAsas7UuXLiXr1q0jx48fJwcPHiSPPfYYsVqt5Ouvv24uEwLm4YcfJgkJCSQ3N5cUFxdLf3V1ddI2bfWcD8T2tnTOP/XUU2Tbtm3k9OnT5MCBA+Spp54iFouFfPXVV4SQtnvcOZy2giGBvXjxYpKcnEyuvvpqsnDhQrJx40Zy4MABcvz4cfLDDz+Qd955h8yYMYMkJiaS8ePHkx9//DHc7W7XvP766yQjI4PY7XYycuRI8v3330uf3XjjjWT69Omy7VevXk2uvPJKYrfbycCBA8n69eubuMWhw4ztc+bMkbZNSUkht9xyC9m7d28ztDp4aOo55R+1d/r06eTGG2/0+c7QoUOJ3W4nvXr1Iu+9916TtzsUmLX95ZdfJr179ybR0dEkOTmZjB49mmzZsqV5Gh8kanYDkB3LtnrOB2J7WzrnH3jgAdKjRw9it9tJly5dyJgxYyRxTUjbPe4cTlvBQggh/rzc9957L+bPn4+BAwfqbtfY2Ij33nsPdrsdDzzwgGlvOofD4XA4HA6H09oxJLA5HA6Hw+FwOByOMXgWEQ6Hw+FwOBwOJ4QElAd79+7dWL16NQoLC+FwOGSfffrppyFpGIfD4XA4HA6H0xox7cFetWoVrr32Whw5cgRr166F0+lEfn4+tmzZgoSEhHC0kcPhcDgcDofDaTWYFtgvvfQSli5dis8//xx2ux2vvfYajh49irvvvhsZGRnhaCOHw+FwOBwOh9NqMD3JsUOHDsjPz0dmZiY6deqE3NxcDBo0CEeOHMHPfvYzFBcXh6utHAMIgoCioiJ07NgRFouluZvD4XA4nDBACMHly5eRnp4Oq5VPp+JwWhqmY7CTkpJw+fJlAMAVV1yBQ4cOYdCgQaisrERdXV3IG8gxR1FREbp3797czeBwOBxOE3D27FnTS8hzOJzwY1pg33DDDcjJycGgQYNw11134bHHHsOWLVuQk5ODMWPGhKONAICKigo8+uij+Pzzz2G1WjFlyhS89tpriIuL0/xOQ0MDHn/8caxatQqNjY0YP348li9fjpSUFGmbwsJCPPzww9i6dSvi4uIwffp0LFq0CBER3q7Jzc3F3LlzkZ+fj+7du2P+/PmYMWOG9Pk333yDv/zlL9izZw+Ki4uxdu1a3HnnnbK2zJgxAx988IGsbPz48di4cWNQNirp2LEjAODMmTNISkoy/L22gNvtxoEDBzB48GDYbLbmbk6T0p5tB9q3/dz29mn7pUuXkJmZKf3mczicloVpgf33v/8dDQ0NAIBnn30WkZGR2LFjB6ZMmYL58+eHvIGUqVOnori4GDk5OXA6nfj1r3+N3/zmN1i5cqXmd/7whz9g/fr1WLNmDRISEjB79mxMnjwZ27dvByD+OE+aNAmpqanYsWMHiouLMW3aNERGRuKll14CAJw+fRqTJk3CrFmz8NFHH2Hz5s148MEHkZaWhvHjxwMAamtrMWTIEDzwwAOYPHmyZnsmTJiA9957T/o/KioqaBuV0LCQxMRExMfHG/5eW4AQgpEjRyI6Orrdhce0Z9uB9m0/t7392g6g3dnN4bQammX9SJMcPnyYACD//e9/pbIvv/ySWCwWcv78edXvVFZWksjISLJmzRqp7MiRIwQA2blzJyGEkA0bNhCr1UpKSkqkbd544w0SHx9PGhsbCSGEzJs3jwwcOFC271/+8pdk/PjxqvUCIGvXrvUpnz59OrnjjjtCaqMaVVVVBACprKw0/J22giAIxOVyEUEQmrspTU57tp2Q9m0/t7192l5ZWUkAkKqqquZuCofDUcHwzAhBEPDyyy/juuuuw9VXX42nnnoK9fX14VH9Cnbu3InExESMGDFCKhs7diysVit++OEH1e/s2bMHTqcTY8eOlcr69euHjIwM7Ny5U9rvoEGDZCEj48ePR3V1NfLz86Vt2H3Qbeg+zJCbm4uuXbuib9++ePjhh1FeXh6UjYC4PH11dbXsDwCcTifcbjfcbjcEQQAgHkNaxpazZXrlxOMxUSsnhBguB6BZrmyjVrmaTU6nE3l5ear7aK02GT1O1Han09lmbDJznFj724pNRssFQZDZ3hZsMnqc2HO+rdhk9Dg5nU5wOJyWi+EQkT/96U944YUXMHbsWMTExOC1115DaWkp3n333XC2DwBQUlKCrl27ysoiIiKQnJyMkpISze/Y7XYkJibKylNSUqTvlJSUyMQ1/Zx+prdNdXU16uvrERMTY8iGCRMmYPLkyejZsydOnjyJZ555BhMnTsTOnTths9kCshEAFi1ahAULFviU5+fnS7HbnTp1QmZmJgoLC2WiPi0tDenp6Th16pQkzAGgR48e6Ny5M44ePSqFAwFAVlYWEhIScODAAemHHgAGDBgAu92OvLw8WRuGDh0Kh8OBw4cPS2VWqxXDhg1DdXU1Tpw4IZVHR0dj4MCBqKioQEFBgVQeHx+PPn36oKSkRJahRssmiqpNViuKPvgAF6++GoLnuDWlTREXLyKiuhr2oUNN2WTmOB08eLBVHKdQj72DBw9K9rcVm4wep8GDB8tsbws2mTlOlLZkk5HjpNYHHA6nBWHU1Z2VlUVWrFgh/Z+Tk0Psdjtxu91mPOYynnzySQJA9+/IkSPkT3/6E7nyyit9vt+lSxeyfPly1X1/9NFHxG63+5RfffXVZN68eYQQQh566CEybtw42ee1tbUEANmwYQMhhJA+ffqQl156SbbN+vXrCQBSV1fns39ohIgoOXnyJAFAvv76a0IICchGQghpaGggVVVV0t/Zs2cJAFJWVkZcLhdxuVzSMXK73cRVXU1cpaWycrqdcntlOX0Mq1ZOH9XqljudxLV1KyHnz6tuL7XRQLnMJk9ZY2Mj2b17t8/3pe3vvZcIw4cT97x5obOJaaM/m4Thw4kwfDhxnT5t2Cajx4na3tjYqG3TxYtEaGwMqU2BHKdwjD3W/rZik9Fyl8sls70t2GT0OLHnfFuxyehxKisr4yEiHE4LxrAHu7CwELfccov0/9ixY2GxWFBUVBRwiqDHH39clo1DjV69eiE1NRWlpaWycpfLhYqKCqSmpqp+LzU1FQ6HA5WVlTIv9oULF6TvpKamYteuXbLvXbhwQfqMvtIydpv4+HjD3mstuzp37owTJ05gzJgxAdkIiBMllZMlAcBms/nMqrdarcDYsYDbDXz9NeDpF63Z9yEv/+474I9/BABYdu9W3V4rn6vZctW2/PgjLAAs27YBis9DYavFYjFkk+3UKSAzMzQ2KcptNps06Um2/ZkzwC9+AWRlwbZqleH9G7Up0PJQjzHluG8LNvkrp+EEmue8Ci3dJqDtHScgtDa1t6wpHE5rw3AMtsvlQnR0tKwsMjIyqDiwLl26oF+/frp/drsd2dnZqKysxJ49e6TvbtmyBYIg4JprrlHd9/DhwxEZGYnNmzdLZceOHUNhYSGys7MBANnZ2Th48KBM2Obk5CA+Ph4DBgyQtmH3Qbeh+wiUc+fOoby8HGlpaVI9Zm3UQ3PhAc/FGEePmt5n0DC2hQOr1YqhQ4f6X3ShuRdlCMOsf7+25+SIr8zj6baE4WPfBuG2t1/bORxOy8WwB5sQghkzZsi8pQ0NDZg1axY6dOgglX366aehbSGA/v37Y8KECXjooYewYsUKOJ1OzJ49G/fccw/S09MBAOfPn8eYMWPw4YcfYuTIkUhISMDMmTMxd+5cJCcnIz4+Ho8++iiys7MxatQoAMC4ceMwYMAA3H///XjllVdQUlKC+fPn45FHHpHsnDVrFv7+979j3rx5eOCBB7BlyxasXr0a69evl9pXU1Mji6s7ffo08vLykJycjIyMDNTU1GDBggWYMmUKUlNTcfLkScybNw9ZWVlSqj8jNoaU5vhxNrdoaEA4HA6fG0EfmjutVZj6Xtf2Juh7v9TVAbGxYdu9oWPfRuG2t0/bORxOy8XwlX769Ono2rUrEhISpL/77rsP6enpsrJw8dFHH6Ffv34YM2YMbrnlFlx//fV46623pM+dTieOHTsmW01y6dKluPXWWzFlyhTccMMNSE1Nld0A2Gw2fPHFF7DZbMjOzsZ9992HadOmYeHChdI2PXv2xPr165GTk4MhQ4Zg8eLFePvttyVhDAC7d+/GsGHDMGzYMADA3LlzMWzYMDz33HNSPQcOHMDtt9+OK6+8EjNnzsTw4cPx7bffym5Y/NloBnYyToshzG0SBAGHDx/2b3tze37CIPD92t7c42H1auCGG4ANG8Kye8PHvg3CbW+/tnM4nJaLYQ/2e8wCKc1BcnKy7oIrmZmZUjolSnR0NJYtW4Zly5Zpfq9Hjx7Y4OeiP3r0aOzbt0/3c2XdLDExMdi0aZNuHYB/G4OGbWNzeHFbghcVaH7bm6P+5r4Yv/KK+PrccwAzl4PD4XA4nLYID+JqT7Airzm8uM0t8ijNHR7Tnvuew+FwOJx2gKEr/axZs3Du3DlDO/z444/x0UcfBdUoTphwubzvm9uLGyYMTfxpDtuboO91bW8HAlvX/uPHgdzcJmtLU9OeJ7y1Z9s5HE7LxVCISJcuXTBw4EBcd911uO222zBixAikp6cjOjoaly5dwuHDh/Hdd99h1apVSE9PDzhumBM6VFM40QwiQPN7ccOAzWaT4uB1aUqBTW0Oc9/7tb2lhOeECb/233uv+PrBB8DAgU3TqCbC8Lhvg7R32zkcTsvF0JX+xRdfxI8//ojrrrsOy5cvx6hRo5CRkSEt+z1t2jScOnUKb731Fr7//ntpZTFO86EaE86KvKYUmefPix7UMIs8Qgiqqqrktn/zDfDss0BtrbesqW4uBAGYNg34/e/DLrBVbZdvEPI6AyJM486v/ZRTp8JSf3Ni2PY2SHu3ncPhtFwMT3JMSUnBs88+i2effRaXLl1CYWEh6uvr0blzZ/Tu3Vta3ILTMpDNMHc6xYVV2LKmOl6ffQYsXAhMmgSoLIgTSgRBwIkTJzB06FCvd2fuXPGVXe6+qWw/eRI4ckR8H+YQEVXbxQ9EQd9SQkTCdHOjab+SNuj1M2x7G6S9287hcFouAV3tkpKSMGTIEIwaNQpZWVlcXLdkHA5gwgTRk8qKvKbiH/8QX9evb14valmZ931TjVfWXoejaepkOXwYGD0aWLWq5XiwmztetrnqP3RIPgY5HA6H06bhs0PaOkePAlVV4isbptBUgov1sjSnx4UV1U0lstg+Zm9umqrvX3hBXNzl1VfbvAe7RddfVATMmAE8+WTT183hcDicZoEL7LYOK6xYgd1UgosVk00gLDVXdGOFVVPGYFNYD3aY+sHH9ibue1XYMQeE9emBodX8mkNgl5aKr2H0YLfnlQzbs+0cDqflwgV2G0WKR2SFVSgE9u7d3rhiI7D1h1nU22w2DBw4UD0WkxV2zREi4nR634ehH1Rtb8K+V+WNN4Cf/lQ+sTBMAlf32LO2N4fApsc+TMdA1/Y2Tnu3ncPhtFy4wG6jSBNgQinyysqAWbOA++83/p1QelGrqoClS8XJgyoIgoCLFy+qT/5p7hARtu/D4E1Wtb25w3PeeUf03P/9796yME5y1Dz2zZ2ekoYHhekY6NoOAJcvA//5j/jaxvBrexumPdrM4bQmArrauFwufP3113jzzTdx2fOjXVRUhJqampA2jhM4UgqnUIo8+qjbzPfZi0CwwvLPfwY++gj45S9VPyaEoKCgQD19VSg82EVFwIYNxoWSVt8rwyZCgKrtLSFEBGiSmxvdY8/Gv7dBD7au7QDw9NPAiy+K6SrbGH5tb8O0R5s5nNaE4TR9lIKCAkyYMAGFhYVobGzEzTffjI4dO+Lll19GY2MjVqxYEY52cgJFma5PrdworFAixLxQDVZgmAlNUcIKq0AF9u23i68NDcDkyf63b+IYbB+aO0SE0hxPDwDgww+ByEjg1lubp35KmD3Yfvn+e/F1x47mqZ/D4XDaIaavNo899hhGjBiBS5cuISYmRir/+c9/js2bN4e0cZwQEK44YKMp/0LpwQ4mdjqUIm/3bvPfCbbvCRE9kC+/bPw7oez7YAjFzY1ZKiqAv/0NWLwYqK9Xb0tT0dwCm8PhcDhNjumrzbfffov58+fDbrfLyjMzM3H+/PmQNYwTIrRyMQfrwTYqsEMZpmBAnMXHx4dkP7oYtYMNBQlWYJ89C2zaBKxZo/l9H9tD6cEWBGDXLiCQMLAmmmAqs58V1WGOf/dLEwhsQ+O+uSguBvbsCdvuW7TtHA6n3WJaYAuCALdKDOm5c+fQsWPHkDSKEzzSDPNwhYg0h8D2g81mQ58+fdRn14fSixqswA6kH9h9qfS9qu2hnOS4ahXwu9+Jk1zNwvZ9mDIf+NivFZ7TVF7k0lKxv7Zta5IsIprjviVw223Ab38rLnwUYlq87WGkPdrM4bQmTAvscePG4a9//av0v8ViQU1NDZ5//nnccsstIW0cJ3D8ZhEJVuwanajXhHHAgiCgqKio5WQRYfsozE8PVG0P5YTHL74QX48eNf/dUHiwjx0D3nxTjH9Xwcf+UD65CYRXXhE9/o8/7j1eYbrB1B33LYlDh0K+y1ZjexhojzZzOK0J00pj8eLF2L59OwYMGICGhgb86le/ksJDXjYTH8oJK6pZRIIVGlo5tY1+J8whIoQQFBcXhy+LiLciY9uF0oPNtlml73VtB/TjsQsL/T/CD6bPQuHBnjoV+Mc/gHffVf3Yx37W3sZG7/umEiXsojL02Ichewxg4Ni3FCJMz6n3S6uxPQy0R5s5nNaE6V+8bt26Yf/+/fj444+xf/9+1NTUYObMmZg6daps0iOnhRBKkceKk0AmOSpFnlnR1lImORrtO7aPWtIEU2X7aUaU1auBXr2Ca5sa/sJzamqA2Fhjx8WoBz3UGVxWrxYFopHsMcp6wuzBVqWoSPSgT5rkLWvuZeqbK6Thq6+AjAygX7/mqZ/D4bRLTAlsp9OJ3/72t/if//kfTJ06FVOnTg1XuzihghVj7PtAvGnsd4INEQlEYAcjEJpjqXSjISJlZcCXXwJ33AEkJKjvK5Q3N263utj58UdtgR2qmxvlfi5eFO2+9lrgL38JvA4lbB+xfa8ctxUVwMaNohDV6vuqKjHkAwAmTgSMOBLUbmzD5MFW5Re/EO2uqPCWNbfADoMH2y8HDgDPPCO+DyT7D4fD4QSIqV/cyMhIfPLJJ+FqCyeEWKiQ0RJ5YZhop4qW5zQMj+otFgs6derktZ2to6nSw7Fo9Zey72fPFlPKPf+8sX2pCDUf25UYSdkXLg8r2yalsD9zRgzhOHYsyCoU9msJbKWNTzwBLFmivwgLG/cdyLjX82CXlfmf/FdUBNx3n3gjoILqsac2s6KyOTzI7LgLQ/1+x/2PP4a8zpaCps0cDqdFYNqlceedd2LdunXhaAsnhFiptyqUE+2UXlCz3wlWYPu5oFitVmRmZnpt1xLYTRUiYjRNH136/bvvjO1LReT52K6sx0jfh0tg64WI0DHJ9k9AVSjs1xLYStv37xdf6WIsarBtNjpu1Y69IPj28cSJwLRpwIkT2vt65RUxNGb+fNWPVY+990Pve6XAJUSMaQ/HAjQ5OWJoBtv3YfBg69oOGL8haoVo2szhcFoEpn/x+vTpg4ULF2L79u0YPnw4OnToIPv897//fcgaxwkcaYa5ljALROAG4sGWN8r7PtiJfqq7F1BYWIiMjAzx4sO2V09gCwKwYgUwYgQwcqT/drTANH0+touF6nUGcqMTrkmO1BZWiOmh0Xc+9hsV2EYINjxH+fRCrS8PHACystT35Sf3uOqxQ3h9CwAAIABJREFUp+j1/XffAcuXi+/1wic2bAA++kgM4UlP120LADEH+dNPi+8//9xbrhTYdXVAbi5www1AXJz//aqgazsQ9I1b0NTXi/187bWA4loZLDyLCIfTsjEtsN955x0kJiZiz5492KPIPGCxWLjAbiFIM8xDOdEu2BARljB4sAkhKC8vR/fu3cUCtr169X3xhejJe/ddY3GagUxy1IsDNrsvjSwiMtvFQu97rXhsowIkVDHYSkLkwfaxP5QCW2segx5aAlsQQh4LrXrsKayoVgrsoiJjFWzcKIbw/Pe/Yry8P9hFfmprve+Vdr/wArBliyiwlyzR3x8h4kRYBbq2A/rH66uvgL17xTChcIXPvPSSOL/Cn40BwLOIcDgtG9MC+/Tp0+FoBydctKQQkTB7sH3QintWXujPnTO330A82Hox2MHsSw8jXutwrXLI7kvv6QEdk0F6sH1g+yjYNH2hFthNid7kXqN9ScdIILaz40v5m7Fli/j6zTf6+7rpJrHu7783HmZSUCB62/Vu3Ojkx8GDgXCt4fDll+Krmo1r1gCZmcDVV4enbg6H06zwIK62jpYHuzlEXiACPRi0JgYqhUa4JguF8uYm1BlcQtUuLbT2pex7VrwZqT/YFIlNNe6NrKDaFB5I1jMbaAw0tdnoUwZ2O3aCaCDjq7bWWz+bEUWPrVuBKVPEycNGjldlpf7ndXWhP1b79gEvvww8/HBo98vhcFoMpn9xH3jgAd3P39VYCILTtKhmEQlliEiwAjkMHmyLxYK0tDT1TBLse+V+wjVZKFx9ryIafGwHjIWIaAnRYNHy2mp5sOl37PaAqtM99qwHO9jwnFB6sNn+DuImT/XYU1iBrefB1kubSdsZiMBmw0WCfWqmgqrtq1eLr3v2AAMH+q9Dr+/z84Hp00XBTuPKQ8HZs0HvgmcR4XBaNqaVxaVLl2R/paWl2LJlCz799FNU+vMEcJoM1SwiLWmhGeWF89VXgd/8Rn+/BrKIpKen+8+gotyP2QtVC5zk6GM7oP3EQMuDrSegzPaRVvy7lgdb2RaT+NhvNE2fEQIR2EZurvTGJIvZcS//0PteLYsIRc8usyEirF3BerD9hFap2m72plHvBvvNN8VXM+lpa2tFca9nr9G+KC8HNm1StYNnEeFwWjamPdhr1671KRMEAQ8//DB69+4dkkZxgsdNL/ChmGjncomPl4P1YOsJ7FWrxNddu8QZ9xRCxEe4SUl+hYbb7capU6fQq1cv2Gw2bYGthN0vtVWP5ljJ0Y/I87Fd2U6tSZIhErg+aHlttdL0BVm/j/3NHYOt1fdaAjuI8BzVY0/Rm+TI4nQCkZHqn5kNEdES2IH8ZrB1qtSvaruR46V30xcss2YBR44A8+Zp12H0eP/61+Jk1N/+FnjoIdlH7qYIs+NwOAETkl8Wq9WKuXPnYunSpaHYHSeUGPWi5uaKGQLy8+XlFy4AY8eKuXiDTdOn5Y1i37MXZABYuRK4+WZxQpQBL2p1dbX3H6MpCtmLHyvGWPSWGtcilIv8GHh6ILNdWY+WB9uowA5mgqnREBEjAk6n72T2N3cWESPnHTvWggzP8Tn2FKMebL1jb9aDHcoQEQPjw8d2Ize27O+M3o1HIOfqkSPi64YN3jJl6JPRDEc008vWrebbweFwmpWQ3bqfPHkSrjac1L/VYjQO+I9/BM6fB+bOlZe//baYh3f16uAnKWpdVPQ86zQVpN5CHFoYDRPQEj0A8K9/AS++GPwNRXOkSNQ6XlpxwOES2EbEm7/tzBJKgR3s5F6tpwch8t7ropdFxGjf0/YbtZ09h0IZImL0JsTIjbXWjbSSYCY3sqJaT2AbOfY8HITDaXWYDhGZqxBghBAUFxdj/fr1mD59esgaxgkRZkXepUvy/9mZ+8F6sLVEnp6X6/x5b33KFfX8XXSM3lxoPdJ2OoHFi8X3t93mLQ/1So5a1NSIqcSuvx5ITFTfrx5GBLZZD7JRjArccNWvFVrQ3DHYgcS/m0UrFEvpqTUq8M0KbC0PdrAhIkbrN+vBDpdjiA01Uwps5TkYHa2/Lz6hkcNpdZgW2Pv27ZP9b7Va0aVLFyxevNhvhhFO06GaTcGI0FAKIFZwN4XAZt8T4n1EqhTYbrePwLZYLOjRo4f5DCpaHrdAvOYswYaILFkiLmO9YwewcKG3XCOLiMx2vbb8/vdinPvcuf69mEZi0v3Vx+734kXxpuXnPwd69fIbY+uDRt/52K8Vg/3FF2I+5ZdeMr56YCBeVK2QnjB4sHVt1xPYbL8YecoQSAy28nw2ix+BrTrutW6I2L43answHmw9gW123Kuc1zyLCIfTsjF95dzKY8FaBX6ziBj1JrEe7FCGiGjFXbMrv1265L1AKy9CbrfPpCyr1YrOnTur16cXg63lwaaxlMptgvVgr14tiuYlS/SXT6aLVCj3pZFFRGa7sp3sd86cEf/mzNEX2P/8p7iU9iuvmH96oCVKL1wQw27+9S9x1Uw9kblihXiTs2iRfl1QsV/Lg/7jj+LfW2/5hkMZsSXYNH0vvggMGiRmzDEq8gxkEZHZrnWel5eLE+/uvRcYNsy4wA8mTV+YJzmqjnsjHuymENjs75NSYButn6IyBngWEQ6nZWP6DK2vr0ddXZ30f0FBAf7617/iq6++CmnDOMEhzTAP1ova1CEirMBml3J2ueSiTiOTRn5+vn/bBUFcvZG2QcuDffiwenmwWUQuXBBjy/VyxpeXawslFaHiY7uynWripqZGW2Dv3w/89a9iWW6usjLtdlOMen21wiR27BDj/3NzxWW6KRp972O/vxhwf8uEl5cDP/wg3uSFUmDv3CmKe0HQFriCILbPYCiRj+1aITmlpeJkYZqNQkvkNTYCVVXe/0OVpm/7dnF5dOb6ocrx4976DWQR8Rn3WsfrrbeAjz8W32tNMHW7gcJC7zgLl8BWhqJRCgu9805YVAQ2zyLC4bRsTAvsO+64Ax9++CEAoLKyEiNHjsTixYtxxx134I033gh5AzlBEmwcMHsxDDZNn5bAZi82NTXe9zT+GvC9uGvU36AVW8le9I8fB+68U8y9rfyMvfCyAjuQVG9afU85f177An7ggPd9crKhm5sGZQYWrbZQLl3SFnmffup937Gj/HtGhJbW43glWgL/tde879kbMB0MHXsKO86UFBYC48cDjzwCPPlk8AJb7djX1Gj3/cqVwO23A5MmyccgoDleGrQEm17fa9U/a5Y45+DUKfH/YNL0scfuu+/EEJ0VK7S/e+aM6GG/+27RVgOhFD7jXut4ffQR8Je/iGXsd9j2rl4NTJ4sPmEBQreCY2MjsHSp92ZRq/677xZT8h09Kv8+DwfhcFodpgX23r178dOf/hQA8O9//xupqakoKCjAhx9+iL/97W8hbyAnSIJZ7EQpJANZaEarLUY82KzAVgsR8Yc/YURXfFPzuAmCV2AAga0G6C9TwKVLvnbRfmFj312u0N7csPVreZovXpSXa8W4ahGIB5u+d7mAkye95Xo3Dkbq1xLYWv3IipuiotB6sCmXL2t77+nNVVkZ8PXX8u8ZqV8rREOJWt8LAnDwoHhjPX+++L/aUwE9tDzYlNOntb976JD4Wl4O7N1rPlYZMHbstW5I6KTmJUvEV7MCW+upUUGBKPCnThX/VxPYguBtu/KpERfYHE6rw7TArqurQ0ePR+urr77C5MmTYbVaMWrUKBQUFIS8gZwgCSRVHL1IsOEhQPg82EYEtlJkmvWi6sU5qoWIVFbK6wgkltRfeysrfUUD/Z9dFdXlCkzkabWFUlGh7cVUCnx/4SZ69RlN00ffKzPZsMcnkPAcNS+u0oPM7psd905neDzY1dXafV9erv1dIyLTqAdbTWSyff/jj/KJvsEuNEOpq9P+/bl82fv+44+DzyKiZv/ly9rhMWw8d12deYFtdKyo9T17zhcWyrfnApvDaXWYFthZWVlYt24dzp49i02bNmHcuHEAgNLSUsTHx4e8gZSKigpMnToV8fHxSExMxMyZM1Gj95gX4qPDRx55BJ06dUJcXBymTJmCCxcuyLYpLCzEpEmTEBsbi65du+KJJ57wyeedm5uLn/zkJ4iKikJWVhbef/992efffPMNbrvtNqSnp8NisWDdunU+bZkxYwYsFovsb8KECdLnZ86cwcyZM9GzZ0/ExMSgd+/eeP755+EIMLuA3yWjP/sMePZZdU8e/fEvLZWXa83INwr7/VmzvJPXtCY5snGyTqe+YN23D9bjx5GVleV/gieL0ym/2NL3ZWXy7di+CyRVm5YHW1lO61cKbD3bL12CddcuZPXurT3xyYjA1xLYTqfxZbXVttEaw1pxyEqBbSCXstVqlR97I15M5Zig32EFdqA3N0Y82FpxwKzAVn5XY4KrzPZAQkTodmzd/tqihVaaPrZMy7POnneHDhma5CizXdlOswKbTZe3e7f8e0ZCw4ym/1PzYCttZ+GTHDmcVofpM/S5557DH//4R2RmZuKaa65BdnY2ANGbPWzYsJA3kDJ16lTk5+cjJycHX3zxBb755hv85je/0f3OH/7wB3z++edYs2YNtm3bhqKiIkyePFn63O12Y9KkSXA4HNixYwc++OADvP/++3juueekbU6fPo1JkybhpptuQl5eHubMmYMHH3wQmzZtkrapra3FkCFDsGzZMt32TJgwAcXFxdLfv2icH4CjR49CEAS8+eabyM/Px9KlS7FixQo888wzZrsKAPynqisqAjZtAhYs8L0I0pXRSkrk5exFiV48Tp8WJy8ZgW1LRQXwySfio1OjHmwt0VJRATz0ECz33YeE+Hj/trMUFal73JQCW82DLQhiPLcgiDcjSm+XvzAJNQ82bYtSYOtlcJk6FZZHH0XCjh3aqbvULvbKEBVaNyG+Atvs0wMjISJaYRJKkedPtDgcsFgsSEhIUE9Vpyawa2t9y9XqD9SDrbZfFqUHmz239DzYGqnqZLYbEdjKmxv6HTY0CJCfm4GEiKgJ7Npa33bRc0cZmuRHYPvYrmyn1tMLNQ8yIfL68/Lk3zNiP7tfs08P2LqLisTJ0BSepo/DaXWYTtP3i1/8Atdffz2Ki4sxZMgQqXzMmDH4+c9/HtLGUY4cOYKNGzfiv//9L0aMGAEAeP3113HLLbfg1VdfRXp6us93qqqq8M4772DlypX42c9+BgB477330L9/f3z//fcYNWoUvvrqKxw+fBhff/01UlJSMHToULz44ot48skn8cILL8But2PFihXo2bMnFnti8/r374/vvvsOS5cuxfjx4wEAEydOxMSJE/3aERUVhdTUVNXPJkyYIPNo9+rVC8eOHcMbb7yBV+lkPBOoZtJQu9Bv3SpO5mKprgZSUny9KGoC+667xNfbbhMfJ7/2mjgpTw21C9SGDfJUdfSphNstF/hKoeN2ixfyP/4R8Dw5IQDy/vtfDB4+HDabzZjALiw05sFWE3nLlwPvvw9ccYV4M3DnnWLcKttGvfqVIgdQF9jK7ZT9WFoKAqDsX/9Cp/HjRduVqNV/6ZI8Vy/dpqbGV1TqPb3IzxczJlx5pfo2Wh7sqip1ga/nwVbafuAA8MADEGbOxP5RozB48GDRfn8C3+lU7/vYWF8PdrDZc9S+oxTYtI11db6i1o/Ad7vdOHDggNd2IzHYNTXq415PYAebpo/dp7Lv3W5xLLL1u1x+Q0R8bAf8r9iotJ22pbZW3t76evlNs9Ppmw1EidaEbb3taP3KvmfnIfAsIhxOqyOgZ0ypqakYNmwYrFYrqqursW7dOnTs2BH9+vULdfsAADt37kRiYqIkrgFg7NixsFqt+OGHH1S/s2fPHjidTowdO1Yq69evHzIyMrBz505pv4MGDUJKSoq0zfjx41FdXY38/HxpG3YfdBu6DzPk5uaia9eu6Nu3Lx5++GGUKz11CqqqqpCsJVY9NDY2orq6WvYHiD++brcbgsMBeokgTicIIPsDAOGbb2RlgidFlrBvn3x7z0WBABAcDrjdbu9nn38OcuQIhBUrpLoJ+zkAwraF/m3YAKGuzlteUyN+v6gIRBDkbWf2JzgcwMaNIDt2gGzcKJYTIgkCt9sNd2Ojtx7PhVppPykoADztIgCEujqx7WVl8j5paPD+T+17/33xf4+nnaxbJ9nudrshsHUydbB94K6vl5c3NkIQBAiXLvmUs7a73W4IOTnAX/4i2S61yyMKZHayfUH3c/GizC6hsVFs+8WLsjYKDgcEl8vbFpcLgtsN4Z134P78c5Dp00F+9SvA7YYgCD59D5VxRwCgshICa1dDAwRBAMrL5e1kxofgdMr6mLz6qvjZ229763a75f3N2Mj2C9v38NTvdrsheOyXbGXHh8MhthGQ1ef22E7HnsxWlbEnVFWBeESerO+V466xEQLbfwr73Tt3Art2ydvisRcK22W2VlXJ+97TFkFZv+eJElH0PWur7HgQIjufiOfYyf5qauBWlLvr68X9euqHx1bVNmr0Oy2X2ao472jfQ7Fft9sNweMxlvU98xvk9owP1lZCiLwPamu9dV2+rH7Ou1wQ2LHnGVOC50ZZKq+p8bbF09dKWzkcTsvFtAf77rvvxg033IDZs2ejvr4eI0aMwJkzZ0AIwapVqzBlypSQN7KkpARdu3aVlUVERCA5ORklyjAG5jt2ux2J7BLTAFJSUqTvlJSUyMQ1/Zx+prdNdXU16uvrERMTY8iGCRMmYPLkyejZsydOnjyJZ555BhMnTsTOnTtVPY4nTpzA66+/7td7vWjRIixYsMCnPD8/H3FxcehWUoJEhwNRdjsaa2rgZjxSkZGRsEdG4uLx4+jApONznTuHhEGD0LB3ryQOAMBWXY1oAPV1dbhYUICyvDz0q6tDTHQ0LFYr6urqUH3yJIo8j1aHDhwIiyCgnnprLBZYCEFsbCzcbjcaGxuBkydRceIEOnv60lVVhQN5eYg9dAgZdXWw2WyIjopC3eXLcFRUwO5pZ+W5c7iipgYOh0MWM2/1eINOnToFHD+OdM/2drsdkRERaKivh8B4pWzHjyO6sRH1ngt+xcmTKM3Lw+DiYkQAUs73S6dPI6muDrGxsRAaG5HnsR0ALIBk037msXKPsjJ0BuByuWSx9NQmp9OJE7t2oYdnPxEREYhqbERhYSESCwoQ6SmPjIyEvbERjR4hUH7mDMry8jD4iSdgZWyyCAIOHjyIrKwsJMTHSzZR2OMEALUnT6IBQHcARBBQVVaGU3l5iPnxR2R6bHW73SgvLoa9vBz2ujpYLRbEuFyo3rwZkTTjArWpoQElVVUoLi5Gx2PHcEVdnWgT4HOcIiMjYa+uRl1lJSye9pSePImOFRXoXFEhO07lJ08i3e1GhM2GqvJynGL6eAghsEHMzw8ABw8eBAAMczoBz9gjDgcsLpfsODU2NuL0/v3oSW2KiUFlWRlOnz+P3mfOIJIZe9Xl5dKxKDt9GigsRGZmJgoLC+H++GN0+vJLFD75JDoPGYL09HScOnVKGncAYLdYEAnIbTp8GF1SUxHjOZ/qS0pwxtP3/QRBOk6Xi4pgLytDlOd4NNbWIt9jv6WhAf0eeggxsbGwvPaaZHuH/Hz0oOdTTQ0cTFuoTRdPn0Zkaal0PtUVF6MLgMqTJxHFbO8oKUESxBv52tJSnPHU3aNHD3Tu3BlHjx6VpcnLyspCgsMhjT1BEGBtaJCPvbo6nN63Dz09NhFBwME9e+Du2BF9zpxBBB17DQ04e+IEutJzsKAA3SDOx1GbUF9SUoLi4mLpvIyIiEBUQ4PP2HOcO4ckm006n2qLinA2Lw+9y8uRyBynqnPnEHXhAhI8Y+/w/v1wJCRI+xkwYADsdjvymPEYfeIEBkA8n2pKSmBT+Y048MMP6Hnhgvd8cjpRUVGBhgMHkOTZ3mazIbquDk6nE06nE3VlZSjMy0OnTp2ksceTCnA4LRvTAvubb77Bs88+CwBYu3YtCCGorKzEBx98gP/93/81JbCfeuopvPzyy7rbHGFX02vF3HPPPdL7QYMGYfDgwejduzdyc3MxZswY2bbnz5/HhAkTcNddd+EhuiiEBk8//TTmMivSVVdXo3v37hg4cCCSkpJg6dQJFs9jzSiLRXwErqBzRAQsTDkBgMOHERMZKYaKVFfLMknExMaiW2oqrhg8GFbme7GxsYjp0gVdhw4F4BG7VitiVeq02WxSeUxCAiyeG5UIhwNDhwwBCgrEfVssACGIjYxEbFyclGUgpksX4Px52O122D32EUJg8QjZXr16AT16yNoHANHKG6K6OsDhQAxtS+fOSB86FNZ//lOyCQBikpOlPrISgqFDh/rs22azYajHdgCweC7GERERiFBZbjwyMhJ94+Pl+3E4kHHllbAQIj9WjY2IiooS25KaiiuGDoXVs8/omBgQQlArCBg0aBAiIyMBt1uySYlkk80mHl8AFqsViTExYvsrK6U22Ww2dElKgqWmxtsetxvxtbWyMQMAaGhAamqqeENaWiqziz1OElVV6BAZKe23R1qaGF5UUSE7TjGdO8PiuQlN7NBBbOOxY7C8+iosnt8HeqM7aNAg2Gw2WFavlo89pm469vp37y5rY2JsLIb27w+ryyXr+3i7XbI1Iy0NyMgAioqQUVgIy5o1AICrNm0Sc2dDHHuyY+o5b2Q2JSTA4pmkFhMbi+i4OCQOHQpUVEjlsbGxiElKAurqpPqjrFbvGKuokOqxNjZiwNVXizfr1dWw0vPJ7UaE2jlvt4vnHB0LnsxQSW63zPYY+tsRFQV7x45iG+GJ/xUE9CsrA666CkhKEtthtcrOJyh+c+jx6M/0kcVqxaC+fYHERFiZcW8D0CM9XbI9xuNkSU5ORlJSkjiH5P/+D/nTpgGANPaU55Ny7MVYrUBDg/d8SkhAp6FDYfGsnEqPU0ynTsDly9LYG9CnD8CEI9JJhuw5T8NYLFYrOqr83tpsNgzp1QvWqCjvZw6H+KQyMlJ+TtXVITIyEpGRkYjp2BHJQ4dKcdcZGRmIi4sDh8NpuZgW2GzYwsaNGzFlyhTExsZi0qRJeOKJJ0zt6/HHH8eMGTN0t+nVqxdSU1NRqsho4XK5UFFRoRnTnJqaCofDgcrKSpkX+8KFC9J3UlNTsWvXLtn3aJYRdhtl5pELFy4gPj7esPday67OnTvjxIkTMoFdVFSEm266Cddeey3eeustv/uJioqSLhQskZGRPnHIWlNirGxqLEAUU2fOiNv37w/s2ydeODyPaC2AKADVJh0RAqjFQiq3Y98z9VsIgc3hAIqLxYK0NKCoCBa3W7Y/CyGA2y23yWLBld27w2q1ak4A8il1ucRJcvRzh0NsP42HjI0VBY4iFlTtqYMFkJd72qvV7xYANmWsd2OjKPCUk8MaGrxtZPuY7t9iQXJiImyRkaLtyr5Rq//SJZ84cZvNJlvFzwL49D1cLlEIKamvh7VTJ/G94nPVtlRVyfrV4vKs1llRIR8fjPff4naLbZwzRx4rbbFgwIABiGTs17Tb82pTxHpb3W4xNlYxrq1MvK6FLhN/++2y+DpLfb200qjNwNiz1NRIot8CiP1gs8lj72l9ivh3aYx5bCQA+vbo4bWdPU+0sq7U1srstFBhqEjNSfveQrdhx/cnn8C2aJEoOj/7zFvOnE9aae5siuNjEwRf2wFY2L73fEfKnvHccyAABnz2GawTJhg+5y21tbLzQ7LLE7Inlbvdsj6yCYLcflrOlvlJhWoBYKuv98kgY/WMexk1Nb5t9GC1WBDJPdgcTovGdAx29+7dsXPnTtTW1mLjxo1Smr5Lly4hmk1xZIAuXbqgX79+un92ux3Z2dmorKzEHmYJ2S1btkAQBFxzzTWq+x4+fDgiIyOxefNmqezYsWMoLCyUMp9kZ2fj4MGDMvGek5OD+Ph4DBgwQNqG3Qfdhu4jUM6dO4fy8nKkpaVJZefPn8fo0aMxfPhwvPfee6FJw2QkTo9mDWH/pwIvLs47EY6dmOR2q2cICCRXtkLgo7bWm0GkRw/x1fPIX0I5+cxDpNn6HQ71PNhUYNPjE2webC2UIU4Oh1fgWq3evldO9FPZt5UVGEbqrqxUn2hHhQ71kKllEVGbuMeOByP1Kyc50vdUaFBvntokR6UYAeQeciOTEZWTyhwO737Zm2cjmTTMpjHUmuRI52XQ1TO1Jjlu3ixbUttuJC2isn61TBa0fjrxmF3JVTnRlf4uKpedNzIZUjn50OHwHg82rI+tX2O/MgeBkVR6WpMc6c0urd9z861Z/5IlwEsvycuMLIqkzGKinORIx72e7d9+Czz4oP+6OBxOs2Fawc2ZMwdTp05Ft27dkJaWhtGjRwMQQ0cGDRoU6vYBEDN3TJgwAQ899BB27dqF7du3Y/bs2bjnnnukDCLnz59Hv379JI90QkICZs6ciblz52Lr1q3Ys2cPfv3rXyM7OxujRo0CAIwbNw4DBgzA/fffj/3792PTpk2YP38+HnnkEckrPGvWLJw6dQrz5s3D0aNHsXz5cqxevRp/+MMfpPbV1NQgLy9PisU7ffo08vLyUOhZLKCmpgZPPPEEvv/+e5w5cwabN2/GHXfcgaysLCkTCRXXGRkZePXVV1FWVoaSkhLNGHN/0Mkwhi72jMcSgPiDTy8A0dFihgjAN4uI2sUkkIwLSoFfW+vNJEEFrtpqhioi7scDB8zZriawPRPtZPWrZVDxRyA3N42NXoGbmKjd9yo3N+VlZeZsd7vlF3F6oacik857UBN5avuvqfG2y+i4U8uDTeuncx8M3tzk5eWZs19NYNOyzp0lj7Sh3MZmx70yRSF9T8cdtV3Z106nmBryySeB55+Xio/t2+e13YjAVdavzCJCnwyqibwffgBuuAFQPP3zsUUP5bh3Or0Cl3E6GMliUnnxotd2I3UrBTbdL62fhoEos5go0x+uXAl8+qk8nZ4Rga027gXBt+/ZlKVK2//zH//1cDioFV0HAAAgAElEQVScZsW0wP7d736HnTt34t1338X27dslL2uvXr3wv//7vyFvIOWjjz5Cv379MGbMGNxyyy24/vrrZSEUTqcTx44dkyZwAcDSpUtx6623YsqUKbjhhhuQmpqKTz/9VPrcZrPhiy++gM1mQ3Z2Nu677z5MmzYNCxculLbp2bMn1q9fj5ycHAwZMgSLFy/G22+/LQljANi9ezeGDRsm5QGfO3cuhg0bJuXTttlsOHDgAG6//XZceeWVmDlzJoYPH45vv/1WEvI5OTk4ceIENm/eLN280L+gMOpJZGHFc0yMV+QphY4/D7ZRIar0YHsmQgGQUvCpelHVvLhmhTB7EQNEG2tqvJ4wurKb0aXSX39dDKnxtx1FmcrL4fAvsJXC2EPMyZOwLFwo5uQ22vds/Q4HZDmwu3QRXw32PR56CLjpJrFtgXqwCfEV+IHc3AQisJ1Ob93JyepPD5RPUijsDZ9RD7aayFMKbLU83CpLjVvM9pFypVKnU37eUZGndnPx+9/r53g2IvDVFnJSCkxA/emBIMgFOvv0wIjAvnxZ34NM61emctRaQEftCZgeauOOHg+LRV1gK+1SS8XJ4XBaFKZjsAFgxIgRGDx4ME6fPo3evXsjIiICkyZNCnXbZCQnJ2PlypWan2dmZkrpySjR0dFYtmyZ7gIwPXr0wIYNG3TrHj16NPZR0aTxubJulpiYGNnCNGrMmDHDbzx6QAQisJ1O7wVEz4MdqhARNW+WUmCr5SNWW9VOGcbiD6XAbWz0ltnt3lABowLmgw/Ev927jdWvFPhKgU3fG+h7i9MJy/r1okD+n//xXzcgt98T1y4JbNaDrex7LRHlcgFHjxoTeeyNDCDafvmyty5av8HV8TIWLQLuvReYMsVY/cowEzZEpFMnUWCzT3No/So3Nzh0SPTqLlkC9Onjv24tDzIV2FRkqT09UBG3VjXBqIcyRWhjo9f26GiAZstQE7j+xrWR+v09PYiI8O1rOuYef1wMkaCwY8iIwL182fubxrZX6UFXy8NNCLBihVzUs23Uu/GgqNlOveCdOnl/c7TCcwDv0xUOh9NiMX2W1tXVYebMmYiNjcXAgQOlMIhHH30Uf/7zn0PeQE6QGBF5aqvF+fNgawnso0dFkVFVZVxgK0Uue2GlF3rlaoYaISpdV66E5U9/8opFs3VTDzYgjz836sFW2mG2fmWIiFr9WiKPsmOH6GU0gpoHXc2DrRR5aseeQsWRP5RPLliBGxfnFRoGBXbs4cOwLlrkdzsJtRs7Kjw7dfKOe6XI1FpApLERePpp4yEagXiw1RbIAZCYmwvLP/4hjnsj9at5UZUCFzAUAw0AmD4d+PBD8X0gAl+rfjWBz4prKCZyBuLBpk9OaP00RETNg33oEPDOO8C773rL2fEQqAebzgPq2tU77vQ82FxgczgtHtNn6dNPP439+/cjNzdXNqlx7Nix+Pjjj0PaOE7gSBMkzaw8R4+n0ymPwdYSeWoXk6oqMTZx8WLjQlSJmgdbbSVHFZEX73DA8tlnwP79wI8/+q9LLUSElrEC26DIkygu9hWQavgLEVGrX8N2WTrE48f91w342s+GSWh5sN1u3+8pMXLslf1jJERDT2BT+48c8U6S1UOt79XqNyqwAfERvxGBS4jvap0ul7oHW+lFVbuxPH4clrffBg4fNla/mvfeyM2FFvn5wN/+5t2XP/x5sGn9SoGv8qQw0emEdc0a36cCWihvbuiTE/pd2vcOh+/NjdqcmA8/FCc7CoIxga0WHkM92Ckp3nGnFoN99izw6KO+y7hzOJwWh+kQkXXr1uHjjz/GqFGjZGmRBg4ciJPs0q6c5uVPfwJeecWcwI6PFy8Q7Ox5LYFNU5ppcfSoeYEdHe2tn15c9DzYKiKTeBbpMDzDXtnGxka5wFYLjyHEf7aC224zVr9RD7aBMAXJdjPo1a8XIqLnwf7b34wJADWBS0WeJy8wALntgqDZ95L999/vv27A14OtJTKVfa8nsI167wHfG4yKCq+Q0vNgq9y4SbZfvmxMYKtNbKa2swJXzdPrj0AEthEPttOp2vekpgaWV18FDhwA7rvPf91srDndLxW9CQneLB7KMe5wqN9Y7tghvt50U2AebFZgd+3q7T+1pwdPPmnMccDhcJod0x7ssrIyn1UVAaC2tlYzDymn6SHnzwOnTqmmM9OETQ2mFiKiFNh6IquuDjD7RIOmhaur84oo1oPNCiuN+uuNXOD0YC/iHTqo31zQNoYCtYs4DdEwGSISkO1KwVJe7hXTNESEZjnwU7+EUe+amgeb2q7lwab1q2Da/kA96HoCu7oa+OtfjdWvFLk093vHjl6Rpxx3LpfvjQEY2//xD/HPbN2sB5nGnwO+49NIGrxAPOiNjeoebKXAVoaWgLF961Zj4h6Q78fh8IZosHUrxbTLpf97Wl8ffIgI68FmzzF6Y8nFNYfTajAtsEeMGIH169dL/1NR/fbbbwedG5oTOixHjgB3360vBpRQgct6KNlJjspH1XoCu6QE+OQTc42mAp+9+LOTHA14sIPG6fReWFmBrbxwmulXMwSRRSQglB5JeqHv0EFb5IWqfqUYMuLBVvs/UJRPL5QhIoF4sJ1O4LvvjNWv7EMqsFmBq3ZzoSKwJfbvN1a3Xh5qrRANup0ehYXqYRRKlDbU13tvrvQ82EpxyuJ0ik/tjKDV9126aN9csJ5uNSIijE1yVCya5hMiQvte7QkPh8NpNZgOEXnppZcwceJEHD58GC6XC6+99hoOHz6MHTt2YNu2beFoIycQjDzKVUIXl2A92KzAZvHnwQ4EWj+9+EZHe5e4VnrO/IWomMVu98ZcqsVgK72m4RLYQYSIhAR6oU9KUhf34azfqAdb6X0NZf1GQkT8xZ8HiprAVp5j/gR2oChDRGhblPX7m1cweXJg9V+4IP5mWa3i2FPz4rIx6loE6uFlBbaa9xyQe5rVaGgI7DdJOcnx2DHxvdoNKIfDaTWY9mBff/312L9/P1wuFwYNGoSvvvoKXbt2xc6dOzF8+PBwtJHTVLACm/VgR6jch4XDg0zrpwIqNlZd3OvUH3CQEq1bK0REiZEJjIFAc+ICcoHNEmrbWaj3kRW4ypubcD49YD3YWvVrCMyg7a+s9N5MaNXvz4MdDKzApuNe6WV3uVRvMIK2XRkiQutX9r2eBzkYWNutVvX6NQR2SMY9nRTLerCV+PNgL1sGbNlivu7GRvUQESXKFTM5HE6LxpQH2+VyYeXKlRg/fjz+YSTOj9NsBHTRYUWmWgw2S6g9yFarN4sJFVCxsdoXG5UwBQsUmTTM0KGD6D1VCmwtgR9qkWW1imLCqMAOpe0s1IOtVTcQ2hAVFjb+PDlZW8xoCMyg7ac3FzEx4p9W34dLYNP6WQ+2Wv2KG4yQ2O5wePerV3+4BDYVj3RhJ7X6VUJEQjbuqcBnw2PU6tfzYBvJXMNis3nPJeqdjo/Xrv/ECdm/fMYTh9OyMeXBjoiIwKxZs9AQSmHFCQsBBIh4Y26VISJaQiOU4yAqynthMSKwVbyoBIDL7Q7Mdhr/DXgFLhsioiTUHmwa/86mC2NjsFlCbTsLFbWsB1et/nAJbDZEQ6t+Nr2dh5DYz3rvgaYT2DQMSs2DrcTp9LnBCMp2OseBXWiGjYFWEmqBTcc9HXeJieKrmv0qAjso2yMifG/qtW6sAPH3zl+ICmA8TIbayo4nu127foXADvpc53A4YcV0iMjIkSN1VzXktGLYSY7+YrBDHSYQFeW9sLAhIlarmFtYrX4Vgd9oZJKRGmYFdqhFFn16QIVGZKT2xV7Dgxyw7YBXaKjFYCsJtcCmqQXZGGy9+jVisAO2n/Y960EGtMd9qI89FVq07/VubmjOZgUB207rrqqSZ+7R6vtQC2xaP41rj4oSX7U82CoCN2DbY2O9Nzds/Vp9X1JibG7LVVcZq5+mIGVj+iMjtfv+yBFj++VwOC0C05Mcf/e73+Hxxx/HuXPnMHz4cHSgFycPgwcPDlnjOE0MPZaNjV4vql6ISKgFtpoH22IRL3jK1F8OR2gn/WgJbK280qEWWR07ih5M1pNHbVcSDg9ybKx4w0IfgbMTzZQolw8PlsRE0XvKrrCnJzJDPckxMVEUOVQ8UtHXFB5sq1UUtKWl3mOqdVMLiGMzkAnMWiQliZk/2HMpIqLpPNgJCcC5c94+pYJXy4OtFwNNeeYZ4K23/Le1Qwev3bR+PYF79Kj/ugHv+DG6HVu31jkPiHm+ORxOq8G0wL7nnnsAAL9nlmK2WCwghMBiscAd6Op9nOaHhoiwAqKpJjlqebAB8cKjFNjh8CBbLPIV9jp00M7pe/ZsaOun3iylyNPyooZaYMfFyRc60YvB3rw5tHVTgc2Kdr3woO3bQ1t/UpIYP0s9uNSLqiXyVEJUAiYmxisqKXphAmby2htBKQYjIuSTDJXQMJZQ10+z9NB61ew/e9bYzUVamhjf7I+YGO97Ovbsdm3bDx/2v0+LxXsu+4PaTs9lWq9eeBCHw2k1mBbYp0+fDkc7OC0B6sFmxSvrWWYJhwebXlRZDzagfrH98kvV3VgDXeyIeurZPNQdOminZPv888Dq0YLGwlKRp+dFLSgQ/xQEbDutr7DQ+390tCgW6EQsFkUsaNBoiTwtkanxqDxg+5X164k8to9CQYcO5gR2To5qccC2JyX51g1oi7ydO/3vc/Bg8YaNrnCoh7Lv9eqn4jouTvYb5WN7XJwxgd2hg2/6zchI7b6n9O4NaK1azK7+6g+lEPfX94B3vNBQKg6H02IxLbB79OgRjnZwQkxQWUTYR9UWi/oP/rlz4l+oYD1H9KKnJ7A1MknEsF4pM9B4Zzb0JC7O2MIRoUB5saUhK/4u9h6Cst1q1b/Yh/uplJbIMmg7EKT9ZkVmKFET2JGR4jGhmWWU2O3erDcIse16NxeUn/xE9CZrhWuMGiWew4EIbCP1/+IXwPvvA9CwvUMHYwI7NtbXSaDnwQbE38PRo7UFdseO2mFlSgIZ9/37Szd5PIsIh9OyMT3JEQCOHTuG2bNnY8yYMRgzZgxmz56NYzQ5PqdFEFCUpiKeXnqEakLoBIza5CI9ga0CAeB0uQKzXS0URi8PdqhRXmzppEODIi8o29XSETalyNQSWSbqDsr+QAR2WlogNfmiluvdn9AaNQq4917pXx/bBwwAXn3VWP3KvtcLj6FMmqQvIvUmByvR6nu9748ZI71VPe5mPNhqTw+0JlYDQFYWkJ6uvc+OHY3VDWjf1OrZ3q+ftH+eRYTDadmYFtiffPIJrrrqKuzZswdDhgzBkCFDsHfvXlx11VX4xOzS2JyWhVJgmxR5QaElcAFTItcR6MRHtcmcenmwQ00gF1sFAdseF6fuRTVZf8AEIrKmTfMReQHbb9aL2qWLOIkuFHTo4BW1RutPTfWemx5kticlAZmZxupXjjsjxz0lRVuAAqJNRry4avHK/o693Q4onqL6HHej9cfE+PQj7Hb9iYbdu3tv/NWIjzcusAMZ9717G98/h8NpVkwL7Hnz5uHpp5/Gzp07sWTJEixZsgQ7duzAM888g3nz5oWjjZymgF3ohdKUHmy1uFNaf1MJfGU9ZjxxwRKIwL777tDUrXYj4c+T+dOfBr4stpJAHpXfe6++0Aln/Z07+4piJXPmeOPq9dDzYGv1fUqK77nKYlRg0m3Zeoz0vT+BrZd9hyUmxrcf/dl+xRVy29PTUTNsmO9+tdrPlqvd3Pirv1s3uSPinnvEkBFKx476fcf2i1Z4jt7vXa9exo8th8NpVkyfqcXFxZg2bZpP+X333YfiUM8w5zQdaiEaRjzYrMhLTgZGjAi8fjUPMqB9wbrvPmDKFOlfMmYMan7yk8DqV3qw6aNivYvlLbcYE1FGUO7Hn9AZOxaYOjXw+tiLtNrELH+ezHHjgJ49A6+fRXkjYyREIzlZX+TpofTWm/Vgd+6sL3ABcWxecYX6Z6xdbC5mZfu06u/aVVY/eewxlN9+u/dzPYEJyAWiMkzCiMhTCuwXXgBuvlm+T6362ZuiiAhtgav1/bQ02dglQ4bg3Ny58m1o/LoabDpOtb73d+zVBDaTUctvDDZ7nhud4Mn2dWZm0930czicoDAtsEePHo1vv/3Wp/y7777DT3/605A0itMMqE3u8Sewp04VH9VTJk4EVqwIrH41ge/Pg33zzTIRQ375SzT+4hfG62QvhEoPtt6CF5SFC+WP4nv08C+8KMr9mvVgd+kiay+58ko0/OxnxuoG5CnK9GKwterv1EkujszEngJyoaUl8vT63maTCQ/hiy9Qf+ut3s+feELbw670fJv1YioF9u23A//+t+92WkJLabvWzY1BDzYZORLCTTfJ96kn8liBqBSZRjzYyv679Vbgyiu9/+t5sNm6LRZtgatnO4sgIF7tJldrLCoFthGBz27TrZv83ImJkdvk7zxg22p0gimbmrAp54VwOJygMH2m3n777XjyySexZ88ejBo1CgDw/fffY82aNViwYAE+++wz2bac5sGQb4/NUhCIBzs9Xf3ibLiRFu/FQ69+vVhUpm226Ghk9O1rvP7oaHnGFLWLqr+LGbU5PR345BNg+XLg3Xf91x0TI1+RT5kJwYjAZi781quvRqc//MH4E4SYGG8KwkA82J06eRelAYA33hDH069+Zax+tu+1whRMhAbZUlPROSPDWzBsmG8KNrZuilrOZyM3F6yAtFrVY561hFaHDt4sOB06+C7a46/+1FTZd2wxMcjs39/7eUyMOYEdSN8rnx4obxq06mf3a7GY92ArBLYVQJ8+fXy3C1Rgqwn8jh292YS6dZMfr5gYeV9ERuoLbHbs0bkPNIbcyARTQAw/+t3vYLn7biAvT39bDofTbAS0kiMALF++HMuXL1f9DABfdKaZMTTDnBU5ajHQ/gRuWpr6xdko0dHeNFlqISL+BH5SkqxOISICZZcuoSsM3mCw9quFiADGBTb9rlEPNiuwbTbzcbidOsltJwQlRUVIg0HbWUGkNsnRX/3Jyb43V+y2w4aJNmqlaouN9S6aEogXVYEgCKhuaEACPPbriUxWAEVEmPeiKj2PWoufGPHixsb6puLzV3/nzt5l3QEIdjtKS0uRAo/tsbH6Io+tPy5OLjKNZnBRCmz2BlFv7gLbLqMe7NhY73natatscyIIKFYb91r2x8XJ92vk6QU7iTIlRZ7aj6YyZevV63ulXVFR3v0bnVg8ciSwZQsEt1tctZLD4bRITIeICIJg6I+L61YAKwYjInwvqv4mOaakyC9QgQhs9rvKevx5ka1WWZ0kMhIlZpbRZutXhoj4E/e0Xvrqb9KbEnZ7PYGtZbvi5gKCYG4OBGu72mNnf/X/f3vnHh41mf3xbzLtdFpKC+XWIm0pFApF2iIIArtyq4CgArIgilgugvITBRFZvKyCyLJ4gxVZ0FUuurIiN3UFFEQoCLisQIUCglyLQqncLbfCTH5/ZDJ9k0kyyXRunZ7P8/Rpm7yT95w3byYnJ+ecNz5erkNUlPyY3buLsbla6IVJeDI0JMOVMWwEQcB5dnXL6GhtQ8eTge1p3hldCttoiIjZ/hUPM4LVilPs6pJSHW0t2P6UHmyjb26UBjb7v54H25OBrWbgsl7nxERZc6FRI/V5byQGWy/JUe8BITYWWLIEWLHCvaRfRIT7vGNlYY9rsah/fyq/CyTH1euvl2+Li6MyfQQR4lA6criTlaV9s1G+KjcbIpKUJP+M2Wof7M1FrYqHkZu9InbXYcbQZfVXerA99S3FTCtvimoLg6ihvOmaTXSrUcNzzPMjj4iebjWUHkezccCKhxtYre6eUL0kRGX/ah5srb4lA1dxfIEdDz0PNrtd7eHGk+5KA1vLg60XIiKhl2jnacETiago+byXVuA0grJ/T31LIVjp6fLt7Lw3OvZGQ0SqVQN69gRycsRFbgBxoZlhwyBoJfoaCRFRVjGxWMrlY/V/+GEgJaXc0AXEcnlsSJIEz7v3zfah5UQAtK/5oUOBTZsANs6eIIiQh7IlwpXq1YG+fYHx44GlS4EZM9zbsAYmx7nfFLWSDPPyxKQmKWEnIkKMd5VuFtJSwllZYuJffn758uda/et5sNn+4+LExRYGDHDfZ7VCYG9YTz0lGhB/+5t738r+lQa+USNP2i+1Zw2N9u2BH34Abtxw/7zSi2pEdxatChUsTz0F7NsHnD3rvk9p4CplNBKmoefBVjM0WNjjahl5Wn137Cj+VhjYHGvomjGwzYbHKBPttDDqwWa9z6yRx+rftq14nnr2dD+28trxNPZKGY2E5zz5pLhM+osviv8/95z4HSNV8WHfWCrrSLO5FnoGplb/sbHAq6/K2916q/ij9aZUmU8hxVCzISI2m/YbOPbzycmit1qPpCTg1CmxZJ9y7K3W8rASLScCu09ZUYfnfVeSkiCIgEEGdpgifPaZGCcLaN/o2RuK9KozMrLc2NLyYN9zj7xEm9UqGthSu3feAdatA+69V7wJP/64aGgqYQ0ytRhsNS9yYqKYSCjB3Mw4qxUJrPGTnCx6vLQMbLY/ZWkzLQ+2lJT07LPydmrhMbNni4mP06e771N6sI0mGU6dKp5XZdURALXUvNVa515pYJeWyj8jjauakSlVjFAaxcoENr0wBdYYjolRL9On1P3hh8U5M2SI2+E4jkMs6xnWMzLZ7XoebGX/48aJscBGF3HxxoOtZeQlJMiNzCZNxMTa2rXBWSzyc+9p7JUYebjp3l18sGbleeml8v+VycXKBwDJwFUmhxp5c8MaxQo4jhN1794dWLsWuPNO935YA5v1YCs96GphSoD7AlxqLFkiPsgmJ5f3xfYvofWWkG2nFqqmAudtmUqCIAICGdhhCq/0aKmhjIcExBuAJwNbzUNz5Ur5DaJOHXk1Ca3+lR5QI0mWyr6Zmwxvs6Eha/jHxuqHKbBGnlYMtponr0+fco+S0oOtDBfQ6t+Tga1l4N9xh3uSHQCe49BQzfAzamCzlRG0jLx27USveHKyeztpBTy2Xz0jj/X0G/WiNmkiLtMtwZ57nked2rXl7Y14sI2G53CcaOCzDBkiejZHjBD/z8gADhwAWrbU71/PwGbnAdu/Wkm3lSsBjgPP8/JzX7Om+3UivWWSdGExEp7jqd57ixbAzJnlb1a0DFzld46RKh46BrZL9xdfFBc/kkrFsv0oQ9EkjD7cKCv8qBETU/6doDb2Eg8/DHz3nfhAoJRH7eFGp2+eFpwhiJCGDOwwxcEaMEY8eWzsofQ6UyvJUc3Alj7rqR8WpffGGwObwRERgaJjx5DyzDPgjx4VS9axiW96KKtgSDdlZX8Wi/x1rVL3P/0J+OQTQKpJbTTRzqgXVeN4DkFA0bFjSIWimoIRA7taNXkIj57Bx3oq2TFSylWjhnEDW6tPpe5qDxurVwMJCXA4HDhbUoLaYPQ38mCpFyLC9qcWrjJ2LDBmTPnxZs4UDW4pbEJpyEsGLjt/IiO1jTx27FUeqqR+HQ4HioqKkPLSS+ALC4Fu3dTH14yBrdTXSIgCuw6C2hsJSea4OHG+tWljbOx1PMgu3VNSwN99t7wfrf7HjhWrsDRtKj4QqbVThjCZQTnvWFkaNxZD5qRjekpy1MkpcRjN9yAIIiiYNrB37tyJyMhItHR6aT7//HMsWLAAmZmZmDx5MqxmK0kQfkFgPalGvKhqcZ9aXlzlDUTpxVWi1b+egS2Fq7DHV+ubQeA4nD17FskDB5bf1Iy+RmX7A8p1keJJJeNEq9qGdCOsVUt8VS0dS0teZWkvKUSHrQsOeH57IOFw4OzZs0hVbjeS4KpVxQPQNzKlUoFsZYeXXwZ++kmMP9eqQw24e/qNlEhU6j5xorh0dPfuEAQBv7Rpg9pr1pQbekbL9BlJclR6x9WOVbeuGA6lto81cFmDTRmiohciooEgCOK8791bXPRGjaio8ofNgQPFkK22bd37VNM9IsL8qplKD7aExQIsWgR8/TXwwAPGEjx1PNgu3aW3Kmw/Wv2zIUZGHm4qamAr5WIfGDyVSNTJgRC0kmsJgggJTL9jeuyxx3Dw4EEAwJEjRzBo0CDExMRg6dKlmDhxos8FJHyAES8qGyIiIXk52bhFteNJNyCtG5FW/0rvjdLrpSaT2VXMzKwuqOU50gu3kW6WrEfYyAMBK5dUccNIqToNfQSnZ1mYMEHcIMXrGvFgK+PftYw8Zd+xsaK3/t13y7fde68Yn+4p0U5pHKgZN8owE+VYxMaKFRbq1wcAOGJj4Vi9WjTylfIq8w0ksrKMlShMStLWRQtlHLJEVJTofW/aVPRoahl27N86BrbHvpX9t2olev5nz1aXDZCPnTcJdnoGdnIy8Oij5aseqp0ngzHYXvXPYiTJsaIJhuxcN9J/Rb7vCIIIGUxfvQcPHkROTg4AYOnSpbjzzjuxePFibNmyBYMGDcKsWbN8LiRRQYwYeXoebGVCnfImMXo08P33orFipn+9Kh5GDdzGjdWPLWE0BlvZjzI2UopRVuresydw8qToFVTDaByw1I9yVTdPBvbixeJqbr16Abt3QxgwQPRiasWDShipQ638W+1mr1aqTELtTYcU33/bbUBhoXo/Sq+eFL9rpAyk2pwGypNTpTaffCIamcOGlddjVi74wfbnjYGtZ+BLxq2yFrQXHmxDKCunsCEnagY+e90YiUFWohUionY9sN51tTAJI0mGSvRCRJR9S7B9sm9fAm1ga11/BEFUKkwb2IIguGK/vvnmG9xzzz0AgOTkZJw5c8a30hFewykTztQwamArPdjK4915Z3n2vhrKUBQpdlAZIsK2U0v+UcoMiElVCxcCNWqA4zgkJSXJdffWg23Ui1u3LjBpkvYxtXRXxgEr+9eqR6zsv2lToGlTcA5Hue6sQaAcC6msmc0mhjNcvy7qcORIeTujuntC+XDDGtiDBolGa7t27n0qq5FIpFAiEaMAACAASURBVLoFwDDNVM69lgeZ58U6zk89Je9TMrD94cFWelFZOY0kOeoY2Kq6uzdSl0vZp1qYV0U92Frzid2vNLBNVBFR1V0vRIRFy4PNlq00u4iUHsr+laVKAf23NgxURYQgQhvTBnabNm3w6quvIjc3F/n5+Zg7dy4A4OjRo6hntD4s4Xd4pWEnwXrqjMZgS4lYrAfQnDDy/iVvsPLmolg8wwXrbVPr+9ZbxW4A1HeGC6j2DcjjnJXoeVElzL6y1dKd50Xj+OBBseyhVv/KuHSNhyWe5911B9w9eVICK8+Lr+nZfWp/V0R3JcoyiFItc73+2eomavo5UdVfy8hSG0OrFbh8Wd5/RT3Yega+sm81OdklutWSHF2H0zj3LEa9qGoeU2882FoPF2pjr+btNujBNjTvjRrYbJ+sgV3Rah16Y69mYLPoXHNURYQgQhvTV+isWbOwc+dOjBkzBi+88ALSnSt6LVu2DB06dPC5gIR3yJaqNxKPKBm3WjVY2ZtcRQxsrZJZyiRHth374KZzU7Hb7fj555/luqt5UbXQMrA9GQh66BlZ8+aJNcM1Fs0BYNiDrKo7oO0pVeqhtSIna+Defrtm/4bQC/Ux4kU1e+61xl5tHD0tMlTREBG9OaQVEvD77+V/6xi5mueeRc/I84cHW6+KiBJ2jqrlHuh4sDV1N/pwo+XBZh9ufIle/2rfTToGtu75Jggi6Jh2SWVlZWHPnj1u219//XVYzBpeRGBgz4vNVn7j9hQioqyVfP68vK1RjBrYbNwj265u3fK/PcyxS2orRrJERJTfPAcMAPbsKV9+WevhIjMTOHHCUP9u6Bl5cXFispuEmjHMng+9qhzQ0N2oJ0/Li8r2Ka0i6C3KOGCt/tUMDU+x9lDR36wHW/m3coEjsxgNk9Dy3nuaywwe5z1rYOt50P0RIqI37wDP895DDLaq7loP60aWKgfUV1/1B1r9S1CSI0FUWkxfvSdOnADHcWjQoAEAYPv27Vi8eDEyMzMxatQonwtI+ACt2GajISKA3Itk1shUGvgSesk8bDvWuKnoa1FWv9xcsa6zVOJLy+vWtq1YVgzwnYHtSQ+pbWqqGB5w/ry4gI9Z2H70qptonYu8PHEp71GjfPuq3KwHu1Ej8/1pee/VzqGagc+ubumNgW2kiolyH/s368GuKEYNbH+EiHgaexZpvy+riBhNcgy2gW3Sg00QRGhj+o750EMPYcOGDQCA4uJi3HXXXdi+fTteeOEFvPLKKz4XkPABRrxJUhyjcvlwiYqEiGgZOsowDK0QDbYGMWv0VBSLRV4mTat/NjRCuQyyJ8wYGqwRJLWtVg1YtUpc7v2NN8z1rexfz5OoZeCmpQGzZole/Ipi1MBm/+7cWfytsjy6R4xWklDul4watkKKN/X9jcYhaxm4JjzYXsul7F8toc+XVTyMPqRV1MA2+vZCy7vtyxARvXrVWqFoajIRBFGpMH31FhYWoq1zgYJPP/0Ut956K7Zs2YK1a9fi8ccfx0svveRzIQnzaFZTUBpZc+YAX3whLgEOGPNgm/Vkat3satQAnnlGPF61auUVLgBtg0+nUg3HcUhNTdXPrjdq5LFysklUZisKmPFga8XJWq2it10HTd2N9h/o0mB6ISLs3zNmiA9VylKRClT1N5NoJ/XJJtsmJgL/+pdugqEuRh+utOZ6y5bA5s0eS/QZmvd6ePJge/PmxGhoEqBeSpP1IHuoIqKquzehUez150sPtp6BrfVGT4KqiBBEpcW0B/vGjRuIcn5hffPNN7jPuXJYs2bNcOrUKd9Kx3Du3DkMHjwYcXFxqFGjBkaMGIFSD97Ma9eu4YknnkCtWrUQGxuL/v374/Tp07I2RUVF6N27N2JiYlC3bl08++yzuKmIdd24cSNuu+02REVFIT09HQsXLpTt37RpE+69917Ur18fHMfhs88+c5Nl6NCh4DhO9tNTI6b1+vXryMnJAcdxKCgoMDA67sgyzPW8Oe3aAdOmlRswbJKRlhfJV6u68Tzw4IPiim5Sn2oys+gY2DzPo3bt2vrZ9XorXOotUfzBB8D//R/QsaP2sdWFUj+mJwPbJJq6G/UkegrR8AXehIhYLB6Na/FwKvp7k+SoNHKaNZMn2ZrBGyOP7f8vfxFDdObP1+3G9LxXovVw88ILQIcOwODBuv1rCFX+tzcGNvumSOeBz/S814vB9oeB7em7kqqIEETYYvoKbdGiBebNm4fNmzdj3bp1LiPx5MmTqFWrls8FlBg8eDD27t2LdevW4csvv8SmTZs8xnw//fTT+M9//oOlS5ciPz8fJ0+exP333+/ab7fb0bt3b5SVlWHr1q1YtGgRFi5cKPPCHz16FL1790aXLl1QUFCAcePG4dFHH8XXUkwugMuXLyM7Oxtz5szRladnz544deqU6+ff//63aruJEyd6LrvlAc1KGuwXutrNTvpCZ9sB3r0mljBqZBoxsHXiUu12O/bu3Wu8moISPQM7OxsYPrxi8eeejDypRrYXaOquVfpQz8gLRLKy0vDw5EX1gKr+3iQ5+vLhwpsyfezfCQnimyVnvosWhua9HlpvL/r1A95+27skR615r2Zwqp2Pli3FJOBbb9U1UjV1N/pwxf7PfjdIlX3MPlAr0SsLCnhOctS5FqiKCEGENqZDRGbMmIF+/frh9ddfR15eHrKzswEAX3zxhSt0xNfs378fX331Ff73v/+hTZs2AIDZs2ejV69eeOONN1SN0YsXL+KDDz7A4sWL0bVrVwDAggUL0Lx5c3z//fe44447sHbtWuzbtw/ffPMN6tWrh5ycHEydOhV//vOfMXnyZFitVsybNw9paWl48803AQDNmzfHd999h5kzZ6JHjx4AgLvvvht33323Rz2ioqKQ6CFZas2aNVi7di2WL1+ONWvWmBonTbSSDPUMbGVikzdxkBJaBrbSO6NXxs0g19iycmro3ey0Kg9UBC0D1w/eJ1XdjXqwlfW2/YE3XlQTuOlvJjxHy4NdEYw+XPng7UGF5r0nI88btB5ujM6t6Gjgq68MxSB71F0rsVsJO0YjRohLyjtr7HuNGQPby+o5BEGEJqbv8p07d8aZM2dw5swZzGdeXY4aNQrz5s3zqXAS27ZtQ40aNVzGNQDk5uaC53n897//Vf3Mjh07cOPGDeQysavNmjVDSkoKtm3b5jpuy5YtZQvk9OjRA5cuXcLevXtdbXIV8a89evRwHcMMGzduRN26dZGRkYHRo0fj7Nmzsv2nT5/GyJEj8dFHHyGmosvzsmhVEdF7Va70YPvKwNYzdPTKuI0fL/4ePtx7OTyh58H2FlYPvRUpgQp5sDUx6sEORNy10bcHvpLFmyRHf3mw9R6uOK5c50CE5yjxR3iQ1jWvhpbRbbV6/yCqljAM6L+dUeZA3H67dxVUWDw9UGglOb7/vmjks4sxEQRRqfAqRVkQBOzYsQOHDx/GQw89hOrVq8NqtfrWKGQoLi5GXbYWMoCIiAgkJCSguLhY8zNWqxU1atSQba9Xr57rM8XFxW6rT0r/e2pz6dIlXL16FdEGv4B79uyJ+++/H2lpaTh8+DCef/553H333di2bRssFgsEQcDQoUPx+OOPo02bNjh27Jih416/fh3XmXhFqSas3W53vULkID5JCQCEyEhIX/kCx4GH/FUjx/PgAHA2m/wVZHQ0eOexlK8mpVhAh8JAlLYLzs8BgGC1umRxCIIssdFisUC6xQk8D8G5z2KxwPHAAxA6dhSXRrfbwXEceJ6Hw+GA4LwxsnKxf0u3aA5wtQUAh90OnufBcZzYnufLnzitVkAQNHVSbpfOodt2jivXiRl7TiE7APAOhyijUzYJSVfluLPbpX12hU4cx7n6ZL2B7NjzPC8zPARBgGC3a+tksbjJrrVdmjOCOGjlfTgccp0slvLzFBWlOsdc50mxXdKb/c3zvMy4kcaegzjvHYrjWKxW1/UhKOakUie1ucduZ6871/l2Hh8AHKKgMp34iAjgxg0IERHgnMc0OvcklGNjgXPcOU429pzzGC7ZnWPPAXBYLDL9jcw9pYwcx8GO8utO9p3jnFsynZjz5GCueSNzj+2f3c7dvOkaf0dEhKt/B8eBU8w9vvwAmt9venNP6zw5B8pluEvfP7L2kZGu8+Tg+fLvw5YtYcnJEXVSOR8Oh4NCRAgixDFtYB8/fhw9e/ZEUVERrl+/jrvuugvVq1fHjBkzcP36dVNe7EmTJmHGjBm6bfbv329WxJBk0KBBrr9btmyJrKwsNG7cGBs3bkS3bt0we/Zs/P7773juuedMHXf69OmYMmWK2/a9e/ci1ul1TjxzBrcAKCsrw29nz6LmlSsAgJuXLyMewJEjR1yGeeJvv6HuzZuIjI7GTz/95Hr9Wu3iRaTb7YiwWLB7927ZTSIzMxNWq9UtITMnJwdlZWU4c+oUEpx9Xjx3DvUh3sQOHjmCq07vks1mQ4sWLXDz5k2UlZXhQkkJigsKEBcXhyZNmqD49GmcOnPGleRYq1YtNGzYEEVFRbI3ATVr1gTP8zh06JBLp2ZXrsBqtSIyIgJXrlxxLRf+U0EB0tPTER8fj927d8N27BhSnHLyggCrw6Gp0759+1zbeJ5Hq1atcOnSJRw6dMi13WazoYXF4tLp4rlziL9yBRaLBTaeR3FxsSwxOPPqVUQ7z1Mh029SUhLq168vO08AkJqaitq1a8vO0549e2Q61WbG3mqxIALAlStXcOLwYVx2zg9JJ4ez3YXiYpTs3q2tU4sWOHfuHI4fP+7a7jpPCp1uLStDlNWKsrIyXC8thUWaB8XFMp1ijx9HA+k8RUbKdAIg00lt7kmLX0m/c3JycOPGDdid/Z0tKUHtK1cQExOD6zdvYi8zvjabDS0iI3Hz5k1cKi3FMec+LZ205p7yPNU+eRK1JZ2ionDt6lU4BAFFhw/jitUq06lxWRksV66g5ORJJF67pns9KedeTk4OkpKSZAuA2Ww2tADEuXfzJuwWCyzS3ANkOkUfPYrGzvP0y2+/4TcmkdjM3GPP0/6DB5HmHPtTv/6KRg4HOJ7HqeJiFDN65eTkAHY7rjnb/lRQoH89qcy96Oho8Dzvym0BgDonTqCeU6eSixdR3Xn8owcPIqFWLZlOzZz7uMuXEQOYnntq54lzOHD12jUIkZGw8zwinXNPqVP1s2fR1HmeCg8cgOPXXwEYm3vsGBAEEXqYNrDHjh2LNm3a4Mcff5QlNfbr1w8jR440daxnnnkGQ4cO1W3TqFEjJCYmoqSkRLb95s2bOHfunGZMc2JiomioXbgg82KfPn3a9ZnExERs375d9jmpygjbRll55PTp04iLizPsvdbSq3bt2jh06BC6deuGb7/9Ftu2bXNVaJFo06YNBg8ejEWLFqke57nnnsN4KXwCogc7OTkZWVlZiIuLAwBwzocUq9WK+o0agXO+aRCc5ccaMYt4cMnJ4CIiAJsNzZo1K+8oKwv8yZNAkybIysqSySB5bHJycty222w23JKc7OozOjUV2LoVFosFGc2aAYrPREREICIiAtENGiCR2ZeYmCh7kyCVqEpJSUGytFCMczvHcTKdeOnNCschJirK5THLyclxyZ6VlQWUlZW3jY8HnMaLmk7K7YB4U3Tbvm9fuU4pKa5xgMXiphMfFQVcvQqr1So7jqRrI8ViK9J22XkCZDpxzNhLyWoxMTFowoy9pJO0PzopCYnOc6yqE4CEhATUVClf56aT8wHKarXCGhvr8uZFO68vl07XrpWPvdWqq5PadrXzFBUdXa5T48aucYiKjnbXyWpFREQEatarhxqKfWbmHqsT98MP5WNvtcLm/L5o6hx7Vic+IQGw25HapAk4Z3iW0bnHcRySkpLc3rQBzuspOloM8WKqI8l0stlc56lBWhpuYb4vvZ17zVu0cJ3PtIwMcM7tSfXry65rnueBiAjX209WNzNzj+M4mU7c5s3gnDrVTUpynYfmLVqAU8w917xzjrsv5h54XtQpKkoce+dbRjednEZyREQEsm67zS2hVG/uxRuorkMQRPAwbWBv3rwZW7duhVURV9ewYUP86nz6NkqdOnVQx0CN1fbt2+PChQvYsWMHWrduDQD49ttv4XA40K5dO9XPtG7dGpGRkVi/fj369+8PADhw4ACKiorQvn1713GnTZuGkpISVwjKunXrEBcXh0znwhrt27fH6tWrZcdet26d6xje8ssvv+Ds2bNISkoCALz99tt49dVXXftPnjyJHj16YMmSJZo6AmLipNIol3AtXe+MseQAcMxDAefcb1GLVbXZ5NstFrFsGMRXz7r9KeCYV6ZS/xwAS2SkW0yk65V6RIRsn1ZJKna73W7Hjz/+iKysLHVZeN71+l0pr8Vica+2wnGaOqlt59TaWyzlOimSrbR04jSOryeL3W7H7t27RaPaqYfFYtFM3LQoxlfWv8Xi2qeqE4ydD9kxFdul/13HZh9WrVZT4y4h6e9qw7Rlx56zWNyPI4WQREW5jYtZXZXXHQDAanXNA4vVKuvDYrG4zg3HPAAaHQP23Cv3caKg+rIzY8/bbKrzwuz5sDD3BwtjNHKKcCRxY/l1xx7PyNzT093VnrkGLExct2mdvJiTUITAuOnkfJjhAFiioys89wiCCB1MG9hasV+//PILqlev7hOhlDRv3hw9e/bEyJEjMW/ePNy4cQNjxozBoEGDXBVEfv31V3Tr1g0ffvgh2rZti/j4eIwYMQLjx49HQkIC4uLi8OSTT6J9+/a44447AADdu3dHZmYmhgwZgtdeew3FxcV48cUX8cQTT7iM1scffxzvvPMOJk6ciOHDh+Pbb7/Fp59+ilWrVrnkKy0tlb32O3r0KAoKCpCQkICUlBSUlpZiypQp6N+/PxITE3H48GFMnDgR6enprkokKeyqcYArvKNx48auZem9xmiiG6Bdpq8isDGHelVE1OQw3ZVOoqCn8nNsTLE/qoj4sUyf+HGVz5vp359YLMYruHiZ5Oimv5lScYEs0+eHJEuP895oBRd/JJj6OYFWVXd2m9JRoKRaNeDy5YqX5FPDU5JjQgLw0kvi9w2t2kgQYYXpx+Du3btj1qxZrv85jkNpaSlefvll9OrVy6fCsXz88cdo1qwZunXrhl69euEPf/gD3nvvPdf+Gzdu4MCBA2KMrZOZM2finnvuQf/+/XHnnXciMTERK1ascO23WCz48ssvYbFY0L59ezz88MN45JFHZEu+p6WlYdWqVVi3bh2ys7Px5ptv4v3333cZxgDwww8/oFWrVmjVqhUAYPz48WjVqpWrnrbFGbd83333oWnTphgxYgRat26NzZs3a3qffYqZMn3SzbCi2fMs7MI9RkvV+cND48nQ0KqhXNE+JbxZMrqiaFVT0OvfH2X6PJUr80GZPje0qnjoGdi+NAal/pVeW70ygf6oIuLpfPrDwGZ1ZI+pJsuf/yz+fvRR3/QNaC9qpHZdL1sGvP46cO+9vutfSxY17rsPYO4nBEGEB6Yfmd9880306NEDmZmZuHbtGh566CH8/PPPqF27tubCKb4gISEBixcv1tzfsGFDt6oGNpsNc+bM0V0AJjU11S0EREnnzp2xa9cu3f3Kvlmio6NlC9MYQU0fr9Eq06d2o2/WTLwJtmjhm74BueFq1Mjzh4fVYtFfoc2XXnsJM7WY/VGmT+vtgd74+sPADiUvqpp+/jBw2VART15U6e1fRcphasHz+mNfpw7wxz8CtWr57txrPVCoHb9dO2DTJu8WtNFCWXJP7W+JOnWALl181zcLhXIQRJXFtIHdoEED/Pjjj/jkk0+we/dulJaWYsSIERg8eHCFkv4I36K5VLonA7tLFyA/37c3O9bIY/tUeyX6hz8A330H9O1ruhue55GZmakdn+jJ0GjVCrjnHkCR0FUhtLyoajf6Ci6Vrqo7+/YgGB50tj8jtZgtFq9kU9Vfa+zVkMqAKsqBVgip/4gIuWGppt+YMcCWLWLtZdPdeJj3nt4ecBwwc6bpfnVh5zeru5YB7+X3jabuWt85gQ6N8jT2FYDisAkitPEq6CsiIgIPP/ywr2Uh/IVWDLaPb3aasB5sLQNI4q23xDJ6Xi7Nrky+leHp5spxwOTJXvWriZYHW23sX3gBeP55YNQor7pS1Z29ubNeXL2bc3q6V/3rYrHIjX0liYlASopY59xL3PQ3EyLSo4eYcKZStcJrzHiwb721QqsGepz3ga6Z7Ok69yEe532wDWyCIKokXhnYP//8MzZs2ICSkhK3BBMp7pgILg6tJB9vli2uKKxh5enGy/NeG9cOZ93qnJwc9cx+T2EK/sCMkde9O3DHHYCzvKIZNHXXerhRG5+FC4EffvDq7YFHjHiwly3zek6q6q/1cKNGRITvk9y0PNg+NvI8zvtgGHlmQkQqgKbu7PefH8feI57mfQXQTWwlCCLomDaw//nPf2L06NGoXbs2EhMTXSXBADHhkQzsEMSMkecPzBh5/iQYr1TNJHsBXhnXuph5e1BBL6ouRgwNX58fs2Pva6T+lR7sQM9DT7kH/upTIhgGvtZcC/TYkwebIKospg3sV199FdOmTcOfpcxvIvTRSnIMhoEdTG9SRERoe7D9QajEogbj7UEAS8Xp9m8kBtuf+DEOWJMAhoiowurL/h2oUnijRgHvvQc89xzw178Gpk+CIEIK099858+fx4ABA/whC+Evgm1gaxl5oZZo568+JTzFYPsDrYebYIx9oNF6oAiGB9tTcq+/5QgVAztQY9+2rXp/gXqwHDVKTBbv2jXwY08QREhg+q43YMAArF271h+yED7EUDWFYMRg+9GDzfO8bPlzNwLttQXMxQFXqBsN3UPl4cbPHmxV/bUSCwM171kPth/H3uO8D3a1CTbsycdjr6l7bq5YGYVZEMz5AZ/2r4uXuSRGoSoiBBHamHalpKen4y9/+Qu+//57tGzZEpGKV69PPfWUz4Qj/EAwXpUHMESkrKwMNq161mFsYAMauodSspefcdM/2F5UNsnRzw83uvO+enXgwgWf9+mRyZOB8+fF6jB+RFV3jhNrewPAsWPl24PxHUAQRJXEtIH93nvvITY2Fvn5+cjPz5ft4ziODOwQQZZhHuxayKyBrVU+ywc4HA7s27dPu5pCsMMU/Bgioqm7mSRHf+LnMAVV/YMdB8wa2Cx+qCKieu5fe02MA546FRg61Kd9GuKee9y3BWres/jxO8cQdesCFy/6/LBURYQgQhvTBvbRo0f9IQfhTxISypdrllaMA4ITB8wSjES7QBPsShZVOckx2DHYqani74YNtVcW9Cddu4o/oUQoVRQJFDNmAH/7GzB8eHDlIAgioJh+nC8sLNTc99lnn1VIGMJPRESICTcbNwbnVTlrYGvV5w4EwTawA53cBoSWBzvQsOe7du3A95+RAaxeLS4gFGwvarCNzKpMSgrwj38AbdoEWxKCIAKI6W/6Hj16qHqxly9fjsGDB/tEKMIPREd7Xi7aX3TpIv5OSvK7oaGb+BNKBrYfHm5UdQ+VKiKpqX438tz05zjg44+B+fOB+Hj59kBRt677vPPDPPSY8BYqBnag5j1LzZo+75MgCMITpl1qjz76KHJzc7FlyxYkJiYCAJYsWYLhw4dj4cKFvpaP8BLNeESWQBkaDzwgLoHdsiWweXP5dh8bGhaLBa1atdJuEOwYbD+GKWjqrhWnGaiHjX/+E1ixAnj6afENip/Q1D8jw31bsMMUfDwPPc77MMaQ7hkZwNixgPN+FS4Y+o4nCCJomP6mnzJlCnr16oXc3FycO3cOixcvxrBhw/Dhhx9SfewQQjDisQqUwcnzwJ13unuSfNy/IAi4ePGiu+5ZWeLvfv182p9p/DjemrrfcYf422aTG3mBMjJbtRKT7BIS/NqNpv6hiI8NI0O6h8q4+HjeGT7vQ4YAd93l076DTaWY6wRRhfHqjj979mxkZ2fjjjvuwMiRI/Hvf/8b/fv397VsRAUwlGEebE+eHyoKHDp0yF33f/wD+OgjoHdvn/ZnCDYsh33ACJTuf/qTuJLcihXBSbRj8XMVEVX91Qj2vPdD9RyPuoeKMXbLLT49nKnzHmZURZ0JojJhKETkiy++cNt2//33Y/PmzXjwwQfBcZyrzX333edbCYnwIhg3epsNaN488P0CoiG7erUYqhGMRX4sFqB7d/HvYCfaEVWXf/wD2L49+G+RCIIgAoQhA7tv376a++bPn4/58+cDEOtg27VKshGhRzA8eVXR61K3rvu2YIw9S5h5sE0RbA92MAh2/23bli9fThAEUQUw5MZyOByGfsi4rmQE28jzA5qr2YUafhh7j7qHuQfb8LkPQwPbo+6dO4u/Gzf2qxzBoNJc8wRBVCmCUJiXCASGMszDrB6vxWJBixYt/Hb8UMa07mFmYJvSP8wMbEO6v/CCmHDarZvf5AgGVf2aJwgidDF9l33qqafw9ttvu21/5513MG7cOJ8IRVSckE2A8XOi25kzZ0JXdxY/JDl61D2MPdimzn2YvbkxpHtsLDBwIFCrVuAECwCV6pr3MVVRZ4KoTJi+yy5fvhwdO3Z0296hQwcsW7bMJ0IRFSdkSzj5US5BEHD8+PHQ1Z3FD+XKPOpeGcbFS0L+3Kek+O3QIa+7H6nquhMEEbqYDhE5e/Ys4tlV0ZzExcXhzJkzPhGKCBBhFiJSqQizMAXCA+npwJtvqie8EgRBEGGHaQsrPT0dX331ldv2NWvWoFGjRj4RivAzUj3mYGT1k5FHBJtghYh06hS8cpEEQRBEQDHtwR4/fjzGjBmD3377DV27dgUArF+/Hm+++SZmzZrlcwEJP/Cf/wC//w7UqRP4vlNT/Xr4uLg4vx7fZ/jByPOoe5g/3Bg+961b+1eQIFBp5r0fqMq6EwQRupg2sIcPH47r169j2rRpmDp1KgCgYcOGmDt3Lh555BGfC0h4h26Guc0m/gSDdu2A6d4n2wAAEnZJREFU554DmjTx+aEtFgua+OG4lQFDuoexgW1I/9WrgaIi4LbbAiNUgKB5X3V1JwgidPEqCHf06NH45ZdfcPr0aVy6dAlHjhwh4zrECNkMc44D+vcHsrJ8fmiHw4GTJ0+Gru4sfqgi4lH3MDawDelfty7Qpk3ghAoQlWre+5iqrjtBEKFLhbLc6tSpg9jYWF/JQviQqphhLggCTp06pa97Zqb4OyMjMEJp4YcqIh51D/acmDULsFqBadN8fmhD+ocppHvV1Z0giNDFUIjIbbfdhvXr16NmzZpo1aoVOB3jYOfOnT4TjiB8zltvAStXAn37BleOYCTaBbv29R/+AHz3XfDlIAiCIAg/Y8jA7tOnD6KiogAAfYNtmBBERahdGxg5Mnj9x8YCpaVA+/aB7zs3F5g/P7hhEmRcEwRBEFUATqD3TGHFpUuXEB8fj/Pnz6NGjRrBFiegOBwOFBUVISUlBXyoGnJXrgBnzwLJyT49rGHdBSHsVjIEKsm59xOke9XU/cKFC6hZsyYuXrxIlVQIIgTx2sAuKytDSUmJW6JFih9XLCM8IxnY9KVLEAQRvtB3PUGENqYf+Q8ePIg//vGPiI6ORmpqKtLS0pCWloaGDRsiLS3NHzISXlAVM8wdDgeOHTtGuldBqrL+pHvV1Z0giNDFdB3sYcOGISIiAl9++SWSkpJ0Ex6J4FEVI38EQcDZs2eR7OPwi8pAVdYdqNr6k+5VV3eCIEIX0wZ2QUEBduzYgWbNmvlDHoIgCIIgCIKo1Jg2sDMzM3HmzBl/yEL4AMmrcenSpSq30pfdbkdpaSnpXsV0B6q2/qR71dT90qVLAMiTTRChiqEkR+lCBoAffvgBL774Iv7617+iZcuWiIyMlLWlZIvgcuTIETRu3DjYYhAEQRAB4PDhw2jUqFGwxSAIQoEhA5vneVmstSAIbrHX0ja73e57KQnDSKWbioqKEB8fH2xxAsqlS5eQnJyMEydOVLkHvaqsO1C19Sfdq6buFy9eREpKSpUsyUoQlQFDISIbNmzwtxyEj5BqwcbHx1e5G45EXFwc6V5Fqcr6k+5VU/eqVv+bICoLhgzsTp064ZVXXsGECRMQExPjb5kIgiAIgiAIotJi+NF3ypQpKC0t9acsBEEQBEEQBFHpsUyePHmykYZTpkzBhAkTUK1aNT+LRFQUi8WCzp07IyLCdJGYSg/pXjV1B6q2/qQ76U4QRGhheKl0nudx+vRp1KlTx98yEQRBEARBEESlxZSBHR8f73HlxnPnzvlEMIIgCIIgCIKojJh6rzRlypQqV/qNIAiCIAiCIMxgyoNdXFyMunXr+lsmgiAIgiAIgqi0GK4i4ik0hCAIgiAIgiAIEwa2QUc3EQDmzJmDhg0bwmazoV27dti+fbtu+6VLl6JZs2aw2Wxo2bIlVq9eHSBJfY8Z3RcuXAiO42Q/NpstgNL6jk2bNuHee+9F/fr1wXEcPvvsM4+f2bhxI2677TZERUUhPT0dCxcu9L+gfsCs7hs3bnQ77xzHobi4OEAS+47p06fj9ttvR/Xq1VG3bl307dsXBw4c8Pi5cLjmvdE9nK75uXPnIisry7WITvv27bFmzRrdz4TDeSeIcMGwge1wOCg8JARYsmQJxo8fj5dffhk7d+5EdnY2evTogZKSEtX2W7duxYMPPogRI0Zg165d6Nu3L/r27YvCwsIAS15xzOoOiCu8nTp1yvVz/PjxAErsOy5fvozs7GzMmTPHUPujR4+id+/e6NKlCwoKCjBu3Dg8+uij+Prrr/0sqe8xq7vEgQMHZOe+Mn5/5efn44knnsD333+PdevW4caNG+jevTsuX76s+Zlwuea90R0In2u+QYMG+Nvf/oYdO3bghx9+QNeuXdGnTx/s3btXtX24nHeCCBsEolLRtm1b4YknnnD9b7fbhfr16wvTp09XbT9w4EChd+/esm3t2rUTHnvsMb/K6Q/M6r5gwQIhPj4+UOIFDADCypUrddtMnDhRaNGihWzbAw88IPTo0cOfovkdI7pv2LBBACCcP38+QFIFjpKSEgGAkJ+fr9kmnK55FiO6h+s1L1GzZk3h/fffV90XruedICorhj3YRPApKyvDjh07kJub69rG8zxyc3Oxbds21c9s27ZN1h4AevToodk+VPFGdwAoLS1FamoqkpOTdb0/4Ua4nPeKkJOTg6SkJNx1113YsmVLsMXxCRcvXgQAJCQkaLYJ13NvRHcgPK95u92OTz75BJcvX0b79u1V24TreSeIygoZ2JWIM2fOwG63o169erLt9erV04wvLS4uNtU+VPFG94yMDMyfPx+ff/45/vWvf8HhcKBDhw745ZdfAiFyUNE675cuXcLVq1eDJFVgSEpKwrx587B8+XIsX74cycnJ6Ny5M3bu3Bls0SqEw+HAuHHj0LFjR9x6662a7cLlmmcxqnu4XfN79uxBbGwsoqKi8Pjjj2PlypXIzMxUbRuO550gKjO0vioRtrRv317m7enQoQOaN2+Od999F1OnTg2iZIQ/ycjIQEZGhuv/Dh064PDhw5g5cyY++uijIEpWMZ544gkUFhbiu+++C7YoAceo7uF2zWdkZKCgoAAXL17EsmXLkJeXh/z8fE0jmyCI0IE82JWI2rVrw2Kx4PTp07Ltp0+fRmJioupnEhMTTbUPVbzRXUlkZCRatWqFQ4cO+UPEkELrvMfFxSE6OjpIUgWPtm3bVurzPmbMGHz55ZfYsGEDGjRooNs2XK55CTO6K6ns17zVakV6ejpat26N6dOnIzs7G3//+99V24bbeSeIyg4Z2JUIq9WK1q1bY/369a5tDocD69ev14zLa9++vaw9AKxbt06zfajije5K7HY79uzZg6SkJH+JGTKEy3n3FQUFBZXyvAuCgDFjxmDlypX49ttvkZaW5vEz4XLuvdFdSbhd8w6HA9evX1fdFy7nnSDChmBnWRLm+OSTT4SoqChh4cKFwr59+4RRo0YJNWrUEIqLiwVBEIQhQ4YIkyZNcrXfsmWLEBERIbzxxhvC/v37hZdfflmIjIwU9uzZEywVvMas7lOmTBG+/vpr4fDhw8KOHTuEQYMGCTabTdi7d2+wVPCa33//Xdi1a5ewa9cuAYDw1ltvCbt27RKOHz8uCIIgTJo0SRgyZIir/ZEjR4SYmBjh2WefFfbv3y/MmTNHsFgswldffRUsFbzGrO4zZ84UPvvsM+Hnn38W9uzZI4wdO1bgeV745ptvgqWC14wePVqIj48XNm7cKJw6dcr1c+XKFVebcL3mvdE9nK75SZMmCfn5+cLRo0eF3bt3C5MmTRI4jhPWrl0rCEL4nneCCBfIwK6EzJ49W0hJSRGsVqvQtm1b4fvvv3ft69Spk5CXlydr/+mnnwpNmzYVrFar0KJFC2HVqlUBlth3mNF93Lhxrrb16tUTevXqJezcuTMIUlccqfSc8kfSNy8vT+jUqZPbZ3JycgSr1So0atRIWLBgQcDl9gVmdZ8xY4bQuHFjwWazCQkJCULnzp2Fb7/9NjjCVxA1vQHIzmW4XvPe6B5O1/zw4cOF1NRUwWq1CnXq1BG6devmMq4FIXzPO0GEC5wg0BKNBEEQBEEQBOErKAabIAiCIAiCIHwIGdgEQRAEQRAE4UPIwCYIgiAIgiAIH0IGNkEQBEEQBEH4EDKwCYIgCIIgCMKHkIFNEARBEARBED6EDGyCIAiCIAiC8CFkYBMEQTiZPHkycnJyKnychQsXokaNGj6QiCAIgqiMkIFNEFWEoUOHguM4cByHyMhIpKWlYeLEibh27Zrp4/Tt29dPUlY+GjZsiFmzZsm2PfDAAzh48GCQJCIIgiCCTUSwBSAIInD07NkTCxYswI0bN7Bjxw7k5eWB4zjMmDEj4LKUlZXBarX6rF0oER0djejo6GCLQRAEQQQJ8mATRBUiKioKiYmJSE5ORt++fZGbm4t169bJ2uzZswddu3ZFdHQ0atWqhVGjRqG0tBSAGEKxaNEifP755y5v+MaNGz1+Dij3fE+bNg3169dHRkaGqoxSmMb777+PtLQ02Gw2AIDD4cD06dORlpaG6OhoZGdnY9myZa59DRo0wNy5c2XH2rVrF3iex/HjxwEARUVF6NOnD2JjYxEXF4eBAwfi9OnTmuPVuXNnjBs3Tratb9++GDp0qGv/8ePH8fTTT7vGA1APEZk7dy4aN24Mq9WKjIwMfPTRR7L9HMfh/fffR79+/RATE4MmTZrgiy++0JSNIAiCCF3IwCaIKkphYSG2bt0q8w5fvnwZPXr0QM2aNfG///0PS5cuxTfffIMxY8YAACZMmICBAweiZ8+eOHXqFE6dOoUOHTp4/JzE+vXrceDAAaxbtw5ffvmlpmyHDh3C8uXLsWLFChQUFAAApk+fjg8//BDz5s3D3r178fTTT+Phhx9Gfn4+eJ7Hgw8+iMWLF8uO8/HHH6Njx45ITU2Fw+FAnz59cO7cOeTn52PdunU4cuQIHnjgAa/HcMWKFWjQoAFeeeUV13iosXLlSowdOxbPPPMMCgsL8dhjj2HYsGHYsGGDrN2UKVMwcOBA7N69G7169cLgwYNx7tw5r+UjCIIggoRAEESVIC8vT7BYLEK1atWEqKgoAYDA87ywbNkyV5v33ntPqFmzplBaWuratmrVKoHneaG4uNh1nD59+siObfRz9erVE65fv64r58svvyxERkYKJSUlrm3Xrl0TYmJihK1bt8rajhgxQnjwwQcFQRCEXbt2CRzHCcePHxcEQRDsdrtwyy23CHPnzhUEQRDWrl0rWCwWoaioyPX5vXv3CgCE7du3u/rOzs527e/UqZMwduxYWZ99+vQR8vLyXP+npqYKM2fOlLVZsGCBEB8f7/q/Q4cOwsiRI2VtBgwYIPTq1cv1PwDhxRdfdP1fWloqABDWrFmjNVQEQRBEiEIebIKoQnTp0gUFBQX473//i7y8PAwbNgz9+/d37d+/fz+ys7NRrVo117aOHTvC4XDgwIEDmsc1+rmWLVsaiqdOTU1FnTp1XP8fOnQIV65cwV133YXY2FjXz4cffojDhw8DAHJyctC8eXOXFzs/Px8lJSUYMGCAS8bk5GQkJye7jpuZmYkaNWpg//79HmWqCPv370fHjh1l2zp27OjWb1ZWluvvatWqIS4uDiUlJX6VjSAIgvA9lORIEFWIatWqIT09HQAwf/58ZGdn44MPPsCIESMC1r837aRY7lWrVuGWW26R7YuKinL9PXjwYCxevBiTJk3C4sWL0bNnT9SqVctreXmehyAIsm03btzw+nieiIyMlP3PcRwcDoff+iMIgiD8A3mwCaKKwvM8nn/+ebz44ou4evUqAKB58+b48ccfcfnyZVe7LVu2gOd5V1Ki1WqF3W6XHcvI5ypCZmYmoqKiUFRUhPT0dNkP65F+6KGHUFhYiB07dmDZsmUYPHiwTMYTJ07gxIkTrm379u3DhQsXkJmZqdpvnTp1ZHHVdrsdhYWFsjZq46GkefPm2LJli2zbli1bNPslCIIgKjdkYBNEFWbAgAGwWCyYM2cOANEDbLPZkJeXh8LCQmzYsAFPPvkkhgwZgnr16gEQ6z7v3r0bBw4cwJkzZ3Djxg1Dn6sI1atXx4QJE/D0009j0aJFOHz4MHbu3InZs2dj0aJFrnYNGzZEhw4dMGLECNjtdtx3332ufbm5uWjZsiUGDx6MnTt3Yvv27XjkkUfQqVMntGnTRrXfrl27YtWqVVi1ahV++uknjB49GhcuXJC1adiwITZt2oRff/0VZ86cUT3Os88+i4ULF2Lu3Ln4+eef8dZbb2HFihWYMGFChceGIAiCCD3IwCaIKkxERATGjBmD1157DZcvX0ZMTAy+/vprnDt3Drfffjv+9Kc/oVu3bnjnnXdcnxk5ciQyMjLQpk0b1KlTB1u2bDH0uYoydepU/OUvf8H06dPRvHlz9OzZE6tWrUJaWpqs3eDBg/Hjjz+iX79+slrUHMfh888/R82aNXHnnXciNzcXjRo1wpIlSzT7HD58OPLy8lyGeKNGjdClSxdZm1deeQXHjh1D48aNZXHjLH379sXf//53vPHGG2jRogXeffddLFiwAJ07d/Z+QAiCIIiQhROUAYYEQRAEQRAEQXgNebAJgiAIgiAIwoeQgU0QBEEQBEEQPoQMbIIgCIIgCILwIWRgEwRBEARBEIQPIQObIAiCIAiCIHwIGdgEQRAEQRAE4UPIwCYIgiAIgiAIH0IGNkEQBEEQBEH4EDKwCYIgCIIgCMKHkIFNEARBEARBED6EDGyCIAiCIAiC8CFkYBMEQRAEQRCED/l/f49FgI9lMDsAAAAASUVORK5CYII=", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "microphones = [-45, -90] # (deg) microphones to plot\n", - "RPM = 5400 # RPM of solution\n", - "\n", - "fieldname = \"pressure\" # Field to plot\n", - "mics = -microphones .+ 181 # Index of every microphone\n", - "\n", - "for mici in mics\n", - "\n", - " figure(figsize=[7*1, 3*3]*0.7)\n", - " suptitle(\"$(Int(round(pangle(mici))))\"*L\"$^\\circ$ microphone\")\n", - " \n", - " for (ploti, (ylbl, dlbl)) in enumerate([\n", - " (\"Total pressure (Pa)\", \"TotalAcousticPressure\"),\n", - " (\"Loading pressure (Pa)\", \"LoadingAcousticPressure\"),\n", - " (\"Thickness pressure (Pa)\", \"ThicknessAcousticPressure\"),\n", - " ])\n", - " subplot(310+ploti) \n", - " if ploti==3; xlabel(\"Rotor revolution\"); end;\n", - " xlim([0, 3])\n", - " ylabel(ylbl)\n", - " PyPlot.grid(true, which=\"major\", color=\"0.8\", linestyle=\"--\")\n", - " PyPlot.grid(true, which=\"minor\", color=\"0.8\", linestyle=\"--\")\n", - "\n", - "\n", - " for (di, (lbl, read_path, _, _, stl, clr)) in enumerate(dataset_infos)\n", - "\n", - " data = datasets_psw[lbl][fieldname]\n", - " xi = data[\"hs\"][\"ObserverTimes\"]\n", - " yi = data[\"hs\"][dlbl]\n", - "\n", - " plot(data[\"field\"][mici, 1, 2:end, xi]*(RPM/60),\n", - " data[\"field\"][mici, 1, 2:end, yi], stl, alpha=0.8, label=lbl, color=clr)\n", - "\n", - " end\n", - "\n", - " if ploti==1; legend(loc=\"center left\", bbox_to_anchor=(1, 0.5)); end;\n", - " end\n", - " \n", - "end" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### SPL Spectrum" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Here we compare the SPL spectrum at the microphone $-45^\\circ$ below the plane of rotation with the experimental data reported by Zawodny, N. S., & Boyd, Jr., D. D., (2016), *Acoustic Characterization and Prediction of Representative, Small-scale Rotary-wing Unmanned Aircraft System Components*." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "microphone = -45 # (deg) microphone to plot\n", - "RPM = 5400 # RPM of solution\n", - "BPF = 2*RPM/60 # Blade passing frequency\n", - "\n", - "fieldname = \"spl_spectrum\" # Field to plot\n", - "mici = -microphone .+ 181 # Index of each microphone\n", - "\n", - "\n", - "figure(figsize=[7, 3])\n", - "\n", - "# Plot experimental data from Zawodny et al., Fig. 9\n", - "data = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\"zawodny_dji9443_spl_5400_01.csv\"))\n", - "plot(data[!, 1]/BPF, data[!, 2], \"-\", label=\"Experimental\", color=\"k\")\n", - "\n", - "# Plot datasets\n", - "for (lbl, _, _, freq_bins_bpm, stl, clr) in dataset_infos\n", - "\n", - " # Fetch tonal noise\n", - " data_psw = datasets_psw[lbl][fieldname]\n", - " xi = data_psw[\"hs\"][\"Frequency\"]\n", - " yi = data_psw[\"hs\"][\"Total_dB\"]\n", - " freqs_psw = data_psw[\"field\"][mici, 1, 2:end, xi]\n", - " spl_psw = data_psw[\"field\"][mici, 1, 2:end, yi]\n", - " \n", - " # Fetch broadband noise\n", - " data_bpm = datasets_bpm[lbl][fieldname]\n", - " org_spl_bpm = data_bpm[\"field\"][:, mici]\n", - " \n", - " # Define the range of frequency as the union of both components\n", - " freqs = freqs_psw # Grab PSW frequency range\n", - " if freqs_psw[end] < freq_bins_bpm[end] # Add BPM range\n", - " bpm_i = findfirst( f -> f > freqs_psw[end], freq_bins_bpm)\n", - " freqs = vcat(freqs, freq_bins_bpm[bpm_i:end])\n", - " spl_psw = vcat(spl_psw, [-30.0 for i in bpm_i:length(freq_bins_bpm)])\n", - " end\n", - " \n", - " # Interpolate broadband data into the same frequencies than tonal data\n", - " spl_bpm = math.akima(freq_bins_bpm, org_spl_bpm, freqs)\n", - " \n", - " # Add tonal and broadband SPL together\n", - " spl = noise.addSPL(spl_psw, spl_bpm)\n", - "\n", - " plot(freqs/BPF, spl, stl, alpha=0.75, label=lbl, color=clr)\n", - "\n", - "end\n", - "\n", - "title(\"$(Int(round(pangle(mici))))\"*L\"$^\\circ$ microphone\")\n", - "xlim([6*10.0^(-1.0), 1.75e2])\n", - "xscale(\"log\")\n", - "xlabel(\"Frequency / BPF\")\n", - "ylim([0, 60])\n", - "ylabel(\"SPL (dB)\")\n", - "PyPlot.grid(true, which=\"major\", color=\"0.8\", linestyle=\":\")\n", - "PyPlot.grid(true, which=\"minor\", color=\"0.8\", linestyle=\":\")\n", - "legend(loc=\"best\", frameon=false)\n", - "\n", - "tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### A-weighted SPL Spectrum" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "hidden": true - }, - "source": [ - "Same than previous plot, but A-weighted." - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "microphone = -45 # (deg) microphone to plot\n", - "RPM = 5400 # RPM of solution\n", - "BPF = 2*RPM/60 # Blade passing frequency\n", - "\n", - "fieldname = \"spl_spectrum\" # Field to plot\n", - "mici = -microphone .+ 181 # Index of every microphone\n", - "\n", - "\n", - "figure(figsize=[7, 3])\n", - "\n", - "# Plot experimental data from Zawodny et al., Fig. 9\n", - "data = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\"zawodny_dji9443_spl_5400_01.csv\"))\n", - "splA_exp = noise.aWeight.(data[!, 1], data[!, 2])\n", - "plot(data[!, 1]/BPF, splA_exp, \"-\", label=\"Experimental\", color=\"k\")\n", - "\n", - "# Plot datasets\n", - "for (lbl, _, _, freq_bins_bpm, stl, clr) in dataset_infos\n", - "\n", - " # Fetch tonal noise\n", - " data_psw = datasets_psw[lbl][fieldname]\n", - " xi = data_psw[\"hs\"][\"Frequency\"]\n", - " yi = data_psw[\"hs\"][\"Total_dBA\"]\n", - " freqs_psw = data_psw[\"field\"][mici, 1, 2:end, xi]\n", - " spl_psw = data_psw[\"field\"][mici, 1, 2:end, yi]\n", - " \n", - " # Fetch broadband noise\n", - " data_bpm = datasets_bpm[lbl][\"splA_spectrum\"]\n", - " org_spl_bpm = data_bpm[\"field\"][:, mici]\n", - " \n", - " # Define the range of frequency as the union of both components\n", - " freqs = freqs_psw # Grab PSW frequency range\n", - " if freqs_psw[end] < freq_bins_bpm[end] # Add BPM range\n", - " bpm_i = findfirst( f -> f > freqs_psw[end], freq_bins_bpm)\n", - " freqs = vcat(freqs, freq_bins_bpm[bpm_i:end])\n", - " spl_psw = vcat(spl_psw, [-30.0 for i in bpm_i:length(freq_bins_bpm)])\n", - " end\n", - " \n", - " # Interpolate broadband data into the same frequencies than tonal data\n", - " spl_bpm = math.akima(freq_bins_bpm, org_spl_bpm, freqs)\n", - " \n", - " # Add tonal and broadband SPL together\n", - " spl = noise.addSPL(spl_psw, spl_bpm)\n", - "\n", - " plot(freqs/BPF, spl, stl, alpha=0.75, label=lbl, color=clr)\n", - "\n", - "end\n", - "\n", - "title(\"$(Int(round(pangle(mici))))\"*L\"$^\\circ$ microphone\")\n", - "xlim([6*10.0^(-1.0), 1.75e2])\n", - "xscale(\"log\")\n", - "xlabel(\"Frequency / BPF\")\n", - "ylim([0, 60])\n", - "ylabel(\"A-weighted SPL (dBA)\")\n", - "PyPlot.grid(true, which=\"major\", color=\"0.8\", linestyle=\":\")\n", - "PyPlot.grid(true, which=\"minor\", color=\"0.8\", linestyle=\":\")\n", - "legend(loc=\"best\", frameon=false)\n", - "\n", - "tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### Tonal Directivity – First BPF" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "BPFi = 1 # BPF multiple to plot\n", - "RPM = 5400 # RPM of solution\n", - "BPF = 2*RPM/60 # Blade passing frequency\n", - "\n", - "fieldname = \"spl_spectrum\" # Field to plot\n", - "\n", - "# Plot experimental and computational data reported by Zawodny et al., Fig. 14\n", - "data_exp = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig14_topright_exp00.csv\"), datarow=1)\n", - "data_of = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig14_topright_of00.csv\"), datarow=1)\n", - "data_pas = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig14_topright_pas00.csv\"), datarow=1)\n", - "\n", - "polar(pi/180*data_exp[!, 2], data_exp[!, 1], \"o\", label=\"Experimental\", color=\"k\")\n", - "polar(pi/180*data_of[!, 2], data_of[!, 1], \"-\", label=\"OVERFLOW2\", alpha=0.8, color=\"c\")\n", - "polar(pi/180*data_pas[!, 2], data_pas[!, 1], \":b\", label=\"BEM+ANOPP\", alpha=0.8)\n", - "\n", - "# Grab angles\n", - "pointangles = pangle.(1:grid.nnodes)\n", - "\n", - "# Plot datasets\n", - "for (lbl, _, _, freq_bins_bpm, stl, clr) in dataset_infos\n", - "\n", - " # Fetch tonal noise\n", - " data_psw = datasets_psw[lbl][fieldname]\n", - " yi = data_psw[\"hs\"][\"Total_dB\"]\n", - " fi = data_psw[\"hs\"][\"Frequency\"]\n", - " \n", - " df = data_psw[\"field\"][1, 1, 2, fi] - data_psw[\"field\"][1, 1, 1, fi] # Frequency step\n", - " freqi = ceil(Int, BPFi*BPF/df + 1) # Frequency index\n", - " freq = data_psw[\"field\"][1, 1, freqi, fi] # Frequency\n", - " # _lbl = \" @ $(data_psw[\"field\"][1, 1, freqi, fi]) Hz\" # Frequency string\n", - " _lbl = \"\"\n", - " \n", - " spl_psw = data_psw[\"field\"][:, 1, freqi, yi]\n", - " \n", - " # Fetch broadband noise\n", - " data_bpm = datasets_bpm[lbl][fieldname]\n", - " spl_bpm = [math.akima(freq_bins_bpm, data_bpm[\"field\"][:, mici], freq) for mici in 1:grid.nnodes]\n", - " \n", - " # Add tonal and broadband SPL together\n", - " spl = noise.addSPL(spl_psw, spl_bpm)\n", - " \n", - " \n", - " polar(pi/180*pointangles, spl, stl, label=lbl*_lbl, alpha=0.8, color=clr)\n", - "end\n", - "\n", - "ax = gca()\n", - "ax.set_theta_zero_location(\"W\")\n", - "ax.set_theta_direction(-1)\n", - "ax.set_thetalim(pi/180*180*[1, -1])\n", - "ax.set_rlabel_position(90)\n", - "ax.set_rticks(40:4:52)\n", - "ax.set_rlim([40, 54])\n", - "ax.set_rorigin(36)\n", - "ax.set_thetagrids(collect(-180:45/2:180)[[3, 5, 7, 8, 9, 10, 11, 13, 15, 17]])\n", - "ax.grid(true)\n", - "xlabel(\"SPL (dB) of first BPF ($(ceil(Int, BPFi*BPF)) hz)\")\n", - "legend(loc=\"center left\", bbox_to_anchor=(1.1, 0.5))\n", - "tight_layout();" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### Tonal Directivity – Second BPF" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "BPFi = 2 # BPF multiple to plot\n", - "RPM = 5400 # RPM of solution\n", - "BPF = 2*RPM/60 # Blade passing frequency\n", - "\n", - "fieldname = \"spl_spectrum\" # Field to plot\n", - "\n", - "# Plot experimental and computational data reported by Zawodny et al., Fig. 14\n", - "data_exp = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig14_bottomright_exp00.csv\"), datarow=1)\n", - "data_of = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig14_bottomright_of00.csv\"), datarow=1)\n", - "data_pas = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig14_bottomright_pas00.csv\"), datarow=1)\n", - "\n", - "polar(pi/180*data_exp[!, 2], data_exp[!, 1], \"o\", label=\"Experimental\", color=\"k\")\n", - "polar(pi/180*data_of[!, 2], data_of[!, 1], \"-\", label=\"OVERFLOW2\", alpha=0.8, color=\"c\")\n", - "polar(pi/180*data_pas[!, 2], data_pas[!, 1], \":b\", label=\"BEM+ANOPP\", alpha=0.8)\n", - "\n", - "# Grab angles\n", - "pointangles = pangle.(1:grid.nnodes)\n", - "\n", - "# Plot datasets\n", - "for (lbl, _, _, freq_bins_bpm, stl, clr) in dataset_infos\n", - "\n", - " # Fetch tonal noise\n", - " data_psw = datasets_psw[lbl][fieldname]\n", - " yi = data_psw[\"hs\"][\"Total_dB\"]\n", - " fi = data_psw[\"hs\"][\"Frequency\"]\n", - " \n", - " df = data_psw[\"field\"][1, 1, 2, fi] - data_psw[\"field\"][1, 1, 1, fi] # Frequency step\n", - " freqi = ceil(Int, BPFi*BPF/df + 1) # Frequency index\n", - " freq = data_psw[\"field\"][1, 1, freqi, fi] # Frequency\n", - " # _lbl = \" @ $(data_psw[\"field\"][1, 1, freqi, fi]) Hz\" # Frequency string\n", - " _lbl = \"\"\n", - " \n", - " spl_psw = data_psw[\"field\"][:, 1, freqi, yi]\n", - " \n", - " # Fetch broadband noise\n", - " data_bpm = datasets_bpm[lbl][fieldname]\n", - " spl_bpm = [math.akima(freq_bins_bpm, data_bpm[\"field\"][:, mici], freq) for mici in 1:grid.nnodes]\n", - " \n", - " # Add tonal and broadband SPL together\n", - " spl = noise.addSPL(spl_psw, spl_bpm)\n", - " \n", - " \n", - " polar(pi/180*pointangles, spl, stl, label=lbl*_lbl, alpha=0.8, color=clr)\n", - "end\n", - "\n", - "ax = gca()\n", - "ax.set_theta_zero_location(\"W\")\n", - "ax.set_theta_direction(-1)\n", - "ax.set_thetalim(pi/180*180*[1, -1])\n", - "ax.set_rlabel_position(90)\n", - "ax.set_rticks(15:5:30)\n", - "ax.set_rlim([15, 32])\n", - "ax.set_rorigin(10)\n", - "ax.set_thetagrids(collect(-180:45/2:180)[[3, 5, 7, 8, 9, 10, 11, 13, 15, 17]])\n", - "ax.grid(true)\n", - "xlabel(\"SPL (dB) of second BPF ($(ceil(Int, BPFi*BPF)) hz)\")\n", - "legend(loc=\"center left\", bbox_to_anchor=(1.1, 0.5))\n", - "tight_layout();" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### Overall SPL Directivity" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fieldname = \"OASPLdB\" # Field to plot\n", - "\n", - "# Plot experimental data reported by Zawodny et al., Fig. 12\n", - "data_exp = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig12_left_5400_00.csv\"), datarow=1)\n", - "polar(pi/180*data_exp[!, 2], data_exp[!, 1], \"ok\", label=\"Experimental\")\n", - "\n", - "# Grab angles\n", - "pointangles = pangle.(1:grid.nnodes)\n", - "\n", - "# Plot datasets\n", - "for (lbl, _, _, freq_bins_bpm, stl, clr) in dataset_infos\n", - "\n", - " # Fetch tonal noise\n", - " data_psw = datasets_psw[lbl][fieldname]\n", - " yi = data_psw[\"hs\"][\"TotalOASPLdB\"]\n", - " oaspl_psw = data_psw[\"field\"][:, 1, 1, yi]\n", - " \n", - " # Fetch broadband noise\n", - " data_bpm = datasets_bpm[lbl][fieldname]\n", - " oaspl_bpm = data_bpm[\"field\"][:]\n", - " \n", - " # Add tonal and broadband OASPL together\n", - " oaspl = noise.addSPL(oaspl_psw, oaspl_bpm)\n", - " \n", - " polar(pi/180*pointangles, oaspl, stl, label=lbl, alpha=0.8, color=clr)\n", - "end\n", - "\n", - "ax = gca()\n", - "ax.set_theta_zero_location(\"W\")\n", - "ax.set_theta_direction(-1)\n", - "ax.set_thetalim(pi/180*180*[1, -1])\n", - "ax.set_rlabel_position(90)\n", - "ax.set_rticks(40:10:70)\n", - "ax.set_rlim([40, 72])\n", - "ax.set_rorigin(30)\n", - "ax.set_thetagrids(collect(-180:45/2:180)[[3, 5, 7, 8, 9, 10, 11, 13, 15, 17]])\n", - "ax.grid(true)\n", - "xlabel(\"OASPL (dB)\")\n", - "legend(loc=\"center left\", bbox_to_anchor=(1.1, 0.5))\n", - "tight_layout();" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true, - "hidden": true - }, - "source": [ - "### A-weighted Overall SPL Directivity" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "Figure(PyObject
)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fieldname = \"OASPLdBA\" # Field to plot\n", - "\n", - "# Plot experimental data reported by Zawodny et al., Fig. 12\n", - "data_exp = CSV.read(joinpath(\"data\", \"zawodnydigitization2\",\n", - " \"zawodny_fig12_right_5400_00.csv\"), datarow=1)\n", - "polar(pi/180*data_exp[!, 2], data_exp[!, 1], \"ok\", label=\"Experimental\")\n", - "\n", - "# Grab angles\n", - "pointangles = pangle.(1:grid.nnodes)\n", - "\n", - "# Plot datasets\n", - "for (lbl, _, _, freq_bins_bpm, stl, clr) in dataset_infos\n", - "\n", - " # Fetch tonal noise\n", - " data_psw = datasets_psw[lbl][fieldname]\n", - " yi = data_psw[\"hs\"][\"TotalOASPLdBA\"]\n", - " oaspl_psw = data_psw[\"field\"][:, 1, 1, yi]\n", - " \n", - " # Fetch broadband noise\n", - " data_bpm = datasets_bpm[lbl][fieldname]\n", - " oaspl_bpm = data_bpm[\"field\"][:]\n", - " \n", - " # Add tonal and broadband OASPL together\n", - " oaspl = noise.addSPL(oaspl_psw, oaspl_bpm)\n", - " \n", - " polar(pi/180*pointangles, oaspl, stl, label=lbl, alpha=0.8, color=clr)\n", - "end\n", - "\n", - "ax = gca()\n", - "ax.set_theta_zero_location(\"W\")\n", - "ax.set_theta_direction(-1)\n", - "ax.set_thetalim(pi/180*180*[1, -1])\n", - "ax.set_rlabel_position(90)\n", - "ax.set_rticks(10:20:70)\n", - "ax.set_rlim([10, 78])\n", - "ax.set_rorigin(-10)\n", - "ax.set_thetagrids(collect(-180:45/2:180)[[3, 5, 7, 8, 9, 10, 11, 13, 15, 17]])\n", - "ax.grid(true)\n", - "xlabel(\"A-weighted OASPL (dBA)\")\n", - "legend(loc=\"center left\", bbox_to_anchor=(1.1, 0.5))\n", - "tight_layout();" - ] - } - ], - "metadata": { - "@webio": { - "lastCommId": null, - "lastKernelId": null - }, - "hide_input": false, - "kernelspec": { - "display_name": "Julia 1.4.2", - "language": "julia", - "name": "julia-1.4" - }, - "language_info": { - "file_extension": ".jl", - "mimetype": "application/julia", - "name": "julia", - "version": "1.4.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/DEPRECATED/singlerotor.jl b/examples/DEPRECATED/singlerotor.jl deleted file mode 100644 index 120cc4cb..00000000 --- a/examples/DEPRECATED/singlerotor.jl +++ /dev/null @@ -1,364 +0,0 @@ -#=############################################################################## -# DESCRIPTION -Test rotor model simulating an isolated 9.4in rotor in hover. The rotor and -configuration matches the 3D-printed propeller described in Ning, Z., -*Experimental investigations on the aerodynamic and aeroacoustic characteristics -of small UAS propellers*, Sec. 5.2. This rotor roughly resembles a DJI Phantom -II rotor. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Dec 2019 - * License : MIT -=############################################################################### - -# ------------ MODULES --------------------------------------------------------- -# Load simulation engine -import FLOWUnsteady -uns = FLOWUnsteady -vlm = uns.vlm - -import GeometricTools -gt = GeometricTools - -using PyPlot - -# ------------ GLOBAL VARIABLES ------------------------------------------------ -# Default path where to save data -extdrive_path = "/media/edoalvar/MyExtDrive/simulationdata7/" -# extdrive_path = "temps/" - - - -# ------------ DRIVERS --------------------------------------------------------- -function run_singlerotor_hover(; xfoil=true, prompt=true) - - J = 0.00 # Advance ratio Vinf/(nD) - angle = 0.0 # (deg) angle of freestream (0 == climb, 90==forward flight) - - singlerotor(; xfoil=xfoil, - VehicleType=uns.VLMVehicle, - J=J, - DVinf=[cos(pi/180*angle), sin(pi/180*angle), 0], - save_path=extdrive_path*"singlerotor_hover_test00/", - prompt=prompt) -end - -function run_singlerotor_forwardflight(; xfoil=true, prompt=true) - - J = 0.15 # Advance ratio Vinf/(nD) - angle = 60.0 # (deg) angle of freestream (0 == climb, ~90==forward flight) - - singlerotor(; xfoil=xfoil, - VehicleType=uns.VLMVehicle, - J=J, - DVinf=[cos(pi/180*angle), sin(pi/180*angle), 0], - nrevs=2, - nsteps_per_rev=120, - save_path=extdrive_path*"singlerotor_fflight_test01/", - prompt=prompt) -end - - -# ------------------------------------------------------------------------------ - -function singlerotor(; xfoil = true, # Whether to run XFOIL - VehicleType = uns.VLMVehicle, # Vehicle type - J = 0.0, # Advance ratio - DVinf = [1.0, 0, 0], # Freestream direction - nrevs = 6, # Number of revolutions - nsteps_per_rev = 72, # Time steps per revolution - shed_unsteady = true, - lambda = 2.125, - n = 10, - overwrite_overwrite_sigma = nothing, - # OUTPUT OPTIONS - save_path = nothing, - run_name = "singlerotor", - prompt = true, - verbose = true, - v_lvl = 0, - rotor_file = "DJI-II.csv", # Rotor geometry - optargs...) - - # TODO: Wake removal ? - - # ------------ PARAMETERS -------------------------------------------------- - - # Rotor geometry - data_path = uns.def_data_path # Path to rotor database - pitch = 0.0 # (deg) collective pitch of blades - # n = 50 # Number of blade elements - # n = 10 - CW = false # Clock-wise rotation - # xfoil = false # Whether to run XFOIL - - # Read radius of this rotor and number of blades - R, B = uns.read_rotor(rotor_file; data_path=data_path)[[1,3]] - - # Simulation parameters - RPM = 81*60 # RPM - # J = 0.00001 # Advance ratio Vinf/(nD) - rho = 1.225 # (kg/m^3) air density - mu = 1.81e-5 # (kg/ms) air dynamic viscosity - ReD = 2*pi*RPM/60*R * rho/mu * 2*R # Diameter-based Reynolds number - - magVinf = J*RPM/60*(2*R) - Vinf(X,t) = magVinf*DVinf # (m/s) freestream velocity - - # Solver parameters - # nrevs = 6 # Number of revolutions in simulation - # nsteps_per_rev = 72 # Time steps per revolution - p_per_step = 2 # Sheds per time step - ttot = nrevs/(RPM/60) # (s) total simulation time - nsteps = nrevs*nsteps_per_rev # Number of time steps - # lambda = 2.125 # Core overlap - overwrite_sigma = overwrite_overwrite_sigma != nothing ? overwrite_overwrite_sigma : - lambda * 2*pi*R/(nsteps_per_rev*p_per_step) # Smoothing core size - - surf_sigma = R/10 # Smoothing radius of lifting surface - vlm_sigma = surf_sigma # Smoothing radius of VLM - # shed_unsteady = true # Shed particles from unsteady loading - - max_particles = ((2*n+1)*B)*nrevs*nsteps_per_rev*p_per_step # Max particles for memory pre-allocation - plot_disc = true # Plot blade discretization for debugging - - - # ------------ SIMULATION SETUP -------------------------------------------- - # Generate rotor - rotor = uns.generate_rotor(rotor_file; pitch=pitch, - n=n, CW=CW, ReD=ReD, - verbose=verbose, xfoil=xfoil, - data_path=data_path, - plot_disc=plot_disc) - # ----- VEHICLE DEFINITION - # System of all FLOWVLM objects - system = vlm.WingSystem() - vlm.addwing(system, run_name, rotor) - - # Systems of rotors - rotors = vlm.Rotor[rotor] # Defining this rotor as its own system - rotor_systems = (rotors,) - - # Wake-shedding system (doesn't include the rotor if quasi-steady vehicle) - wake_system = vlm.WingSystem() - - if VehicleType != uns.QVLMVehicle - vlm.addwing(wake_system, run_name, rotor) - else - # Mute colinear warnings. This is needed since the quasi-steady solver - # will probe induced velocities at the lifting line of the blade - uns.vlm.VLMSolver._mute_warning(true) - end - - # FVS's Vehicle object - vehicle = VehicleType( system; - rotor_systems=rotor_systems, - wake_system=wake_system - ) - - # ----- MANEUVER DEFINITION - RPM_fun(t) = 1.0 # RPM (normalized by reference RPM) as a - # function of normalized time - - angle = () # Angle of each tilting system (none in this case) - sysRPM = (RPM_fun, ) # RPM of each rotor system - Vvehicle(t) = zeros(3) # Translational velocity of vehicle over Vcruise - anglevehicle(t) = zeros(3) # (deg) angle of the vehicle - - # FVS's Maneuver object - maneuver = uns.KinematicManeuver(angle, sysRPM, Vvehicle, anglevehicle) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; vis_nsteps=nsteps) - - - # ----- SIMULATION DEFINITION - RPMref = RPM - Vref = 0.0 - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot) - - monitor = generate_monitor(J, rho, RPM, nsteps; save_path=save_path, - run_name=run_name) - - - # ------------ RUN SIMULATION ---------------------------------------------- - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - surf_sigma=surf_sigma, - max_particles=max_particles, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose, v_lvl=v_lvl, - optargs... - ) - return pfield, rotor -end - - -""" -Generate monitor for rotor performance parameters -""" -function generate_monitor(J, rho, RPM, nsteps; save_path=nothing, - run_name="singlerotor", - figname="monitor", disp_conv=true, - nsteps_savefig=10) - - fcalls = 0 # Number of function calls - - colors="rgbcmy"^100 - stls = "o^*.px"^100 - - # Name of convergence file - if save_path!=nothing - fname = joinpath(save_path, run_name*"_convergence.csv") - end - - # Function for run_vpm! to call on each iteration - function extra_runtime_function(sim::uns.Simulation{V, M, R}, - PFIELD::uns.vpm.ParticleField, - T::Real, DT::Real - ) where{V<:uns.AbstractVLMVehicle, M, R} - - rotors = vcat(sim.vehicle.rotor_systems...) - angle = T*360*RPM/60 - - - # Call figure - if disp_conv; fig = figure(figname, figsize=(7*3,5*2)); end; - - if fcalls==0 - # Format subplots - if disp_conv - subplot(231) - title("Circulation Distribution") - xlabel("Element index") - ylabel(L"Circulation $\Gamma$ (m$^2$/s)") - grid(true, color="0.8", linestyle="--") - subplot(232) - title("Plane-of-rotation Normal Force") - xlabel("Element index") - ylabel(L"Normal Force $N_p$ (N)") - grid(true, color="0.8", linestyle="--") - subplot(233) - title("Plane-of-rotation Tangential Force") - xlabel("Element index") - ylabel(L"Tangential Force $T_p$ (N)") - grid(true, color="0.8", linestyle="--") - subplot(234) - xlabel(L"Age $\psi$ ($^\circ$)") - ylabel(L"Thrust $C_T$") - grid(true, color="0.8", linestyle="--") - subplot(235) - xlabel(L"Age $\psi$ ($^\circ$)") - ylabel(L"Torque $C_Q$") - grid(true, color="0.8", linestyle="--") - subplot(236) - xlabel(L"Age $\psi$ ($^\circ$)") - ylabel(L"Propulsive efficiency $\eta$") - grid(true, color="0.8", linestyle="--") - end - - # Convergence file header - if save_path!=nothing - f = open(fname, "w") - print(f, "age (deg),T,DT") - for (i, rotor) in enumerate(rotors) - print(f, ",RPM_$i,CT_$i,CQ_$i,eta_$i") - end - print(f, "\n") - close(f) - end - end - - # Write rotor position and time on convergence file - if save_path!=nothing - f = open(fname, "a") - print(f, angle, ",", T, ",", DT) - end - - - # Plot circulation and loads distributions - if disp_conv - - cratio = PFIELD.nt/nsteps - cratio = cratio > 1 ? 1 : cratio - clr = fcalls==0 && false ? (0,0,0) : (1-cratio, 0, cratio) - stl = fcalls==0 && false ? "o" : "-" - alpha = fcalls==0 && false ? 1 : 0.5 - - # Circulation distribution - subplot(231) - this_sol = [] - for rotor in rotors - this_sol = vcat(this_sol, [vlm.get_blade(rotor, j).sol["Gamma"] for j in 1:rotor.B]...) - end - plot(1:size(this_sol,1), this_sol, stl, alpha=alpha, color=clr) - - # Np distribution - subplot(232) - this_sol = [] - for rotor in rotors - this_sol = vcat(this_sol, rotor.sol["Np"]["field_data"]...) - end - plot(1:size(this_sol,1), this_sol, stl, alpha=alpha, color=clr) - - # Tp distribution - subplot(233) - this_sol = [] - for rotor in rotors - this_sol = vcat(this_sol, rotor.sol["Tp"]["field_data"]...) - end - plot(1:size(this_sol,1), this_sol, stl, alpha=alpha, color=clr) - end - - # Plot performance parameters - for (i,rotor) in enumerate(rotors) - CT, CQ = vlm.calc_thrust_torque_coeffs(rotor, rho) - eta = J*CT/(2*pi*CQ) - - if disp_conv - subplot(234) - plot([angle], [CT], "$(stls[i])", alpha=alpha, color=clr) - subplot(235) - plot([angle], [CQ], "$(stls[i])", alpha=alpha, color=clr) - subplot(236) - plot([angle], [eta], "$(stls[i])", alpha=alpha, color=clr) - end - - if save_path!=nothing - print(f, ",", rotor.RPM, ",", CT, ",", CQ, ",", eta) - end - end - - if disp_conv - # Save figure - if fcalls%nsteps_savefig==0 && fcalls!=0 && save_path!=nothing - savefig(joinpath(save_path, run_name*"_convergence.png"), - transparent=true) - end - end - - # Close convergence file - if save_path!=nothing - print(f, "\n") - close(f) - end - - fcalls += 1 - - return false - end - - return extra_runtime_function -end diff --git a/examples/DEPRECATED/tandemheavingwing.jl b/examples/DEPRECATED/tandemheavingwing.jl deleted file mode 100644 index d96d2ca5..00000000 --- a/examples/DEPRECATED/tandemheavingwing.jl +++ /dev/null @@ -1,370 +0,0 @@ -#=############################################################################## -# DESCRIPTION -Test wing-on-wing interactions of a tandem wing configurations with the front -wing in heaving motion. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Oct 2019 - * License : MIT -=############################################################################### - -# ------------ MODULES --------------------------------------------------------- -# Load simulation engine -import FLOWUnsteady -uns = FLOWUnsteady -vlm = uns.vlm - -import GeometricTools -gt = GeometricTools - -using PyPlot -using LinearAlgebra: I, norm, dot - -# ------------ GLOBAL VARIABLES ------------------------------------------------ -# Default path where to save data -# extdrive_path = "/media/edoalvar/MyExtDrive/simulationdata5/" -# extdrive_path = "/media/edoalvar/Samsung_T5/simulationdata202006/" -extdrive_path = "temps/" - - - -# ------------ DRIVERS --------------------------------------------------------- -function run_tandemheavingwing() - tandemheavingwing(; nsteps=400, p_per_step=1, vlm_rlx=0.75, - VehicleType=uns.VLMVehicle, - save_path=extdrive_path*"tandemheaving05/", - verbose=true, disp_plot=true) -end - - -# ------------------------------------------------------------------------------ -""" - Test wing-on-wing interactions of a tandem wing configurations with the - front wing in heaving motion. -""" -function tandemheavingwing(; # TEST OPTIONS - tol=0.025, - wake_coupled=true, - nsteps=150, - vlm_fsgm=-1, - p_per_step=1, - vlm_rlx=0.75, - VehicleType=uns.VLMVehicle, - # OUTPUT OPTIONS - save_path=nothing, - run_name="bertins", - prompt=true, - verbose=true, verbose2=true, v_lvl=1, - disp_plot=true, figsize_factor=5/6 - ) - - if verbose; println("\t"^(v_lvl)*"Running tandem heaving wing test..."); end; - - # ------------- GENERATE VEHICLE ------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating geometry..."); end; - # Experimental conditions - magVinf = 163*0.3048 # (m/s) freestream - rhoinf = 9.093/10^1 # (kg/m^3) air density - alpha = 4.2 # (deg) angle of attack - qinf = 0.5*rhoinf*magVinf^2 # (Pa) static pressure - - # Geometry main wing - twist = 0.0 # (deg) root twist - lambda = 45.0 # (deg) sweep - gamma = 0.0 # (deg) Dihedral - b = 98*0.0254 # (m) span - ar = 5.0 # Aspect ratio - tr = 1.0 # Taper ratio - - # Geometry tandem wing - twist_tw = 5.0 # (deg) root twist - lambda_tw = 0.0 # (deg) sweep - gamma_tw = 0.0 # (deg) Dihedral - b_tw = 0.75*b # (m) span - ar_tw = 5.0 # Aspect ratio - tr_tw = 1.0 # Taper ratio - x_tw = 0.75*b # (m) distance to main wing - - - - # Discretization - n = 4*2^3 # Number of horseshoes - r = 12.0 # Geometric expansion - central = false # Central expansion - - # Freestream function - # Vinf(X, t) = 1e-12*ones(3) # (Don't make this zero or things will break) - # Here I had to give it an initial freestream or the unsteady shedding would - # in the first step - Vinf(X, t) = t==0 ? magVinf*[1,0,0] : 1e-12*ones(3) - - # Generate main wing - wing = vlm.simpleWing(b, ar, tr, twist, lambda, gamma; - n=n, r=r, central=central) - # Generate tandem wing - tandemwing = vlm.simpleWing(b_tw, ar_tw, tr_tw, twist_tw, lambda_tw, gamma_tw; - n=n, r=r, central=central) - - # Tilt main wing to corresponding angle of attack - O = zeros(3) # Coordinate system origin - Oaxis = gt.rotation_matrix2(0.0, -alpha, 0.0) # Coordinate system axes - vlm.setcoordsystem(wing, O, Oaxis) - - # Place tandem wing relative to main wing - O = [-x_tw, 0, 0] # Coordinate system origin - Oaxis = Array(1.0I, 3, 3) # Coordinate system axes - vlm.setcoordsystem(tandemwing, O, Oaxis) - - # System definitions - ## Places the tandem wing inside a tilting system - tandemwing_system = vlm.WingSystem() - vlm.addwing(tandemwing_system, "Tandem", tandemwing) - - ## System of all FLOWVLM objects - system = vlm.WingSystem() - vlm.addwing(system, "Main", wing) - vlm.addwing(system, "Tilting", tandemwing_system) - - ## Tilting systems - tilting_systems = (tandemwing_system, ) - - vlm_system = system # System solved through VLM solver - wake_system = system # System that will shed a VPM wake - - # Vehicle definition - vehicle = VehicleType( system; - tilting_systems=tilting_systems, - vlm_system=vlm_system, - wake_system=wake_system - ) - - # ------------- MANEUVER DEFINITION --------------------------------------- - ncycles = 10 # Number of cycles in maneuver - k = 2*pi*ncycles # Oscillation frequency - tilt_amplitude = alpha # (deg) tilting amplitude - - - # Angle of tandem wing - angle_tandemwing(t) = [0, tilt_amplitude*sin(k*t), 0] - - # Translational velocity of the vehicle over Vcruise - Vvehicle(t) = [-1, 0, 0] - - # Angle of the vehicle - anglevehicle(t) = zeros(3) - - angle = (angle_tandemwing, ) # Angle of each tilting system - RPM = () # RPM of each rotor system - - maneuver = uns.KinematicManeuver(angle, RPM, Vvehicle, anglevehicle) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; vis_nsteps=nsteps) - - # ------------- SIMULATION SETUP ------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Simulation setup..."); end; - - wake_len = 8*b # (m) length to develop the wake - lambda_vpm = 2.0 # target core overlap of vpm wake - - # Simulation options - telapsed = wake_len/magVinf # (s) total time to perform maneuver - # nsteps = 2000 # Number of time steps - Vcruise = magVinf # (m/s) aircraft velocity during cruise - RPMh_w = 0.0 # Rotor RPM during hover (dummy) - - # Solver options - # p_per_step = 1 # Number of particle sheds per time steps - overwrite_sigma = lambda_vpm * magVinf * (telapsed/nsteps)/p_per_step # Smoothing core size - # vlm_sigma = -1 # VLM regularization core size (deactivated with -1) - vlm_sigma = vlm_fsgm*b - # wake_coupled = true # Coupled VPM wake with VLM solution - vpm_surface = true # Whether to include surface in the VPM - # surf_sigma = 0.01*b # Vehicle surface regularization - surf_sigma = overwrite_sigma - shed_unsteady = true # Whether to shed unsteady-loading wake - # shed_unsteady = false - # vlm_rlx = -1 # VLM relaxation (deactivated with -1) - - - if verbose - println("\t"^(v_lvl+1)*"Core overlap:\t\t$(lambda_vpm)") - println("\t"^(v_lvl+1)*"Core size:\t\t$(round(overwrite_sigma/b, digits=3))*b") - println("\t"^(v_lvl+1)*"Time step translation:\t$(round(magVinf * (telapsed/nsteps)/b, digits=3))*b") - end - - - - # Simulation setup - Vref = Vcruise # Reference velocity - RPMref = RPMh_w # Reference RPM - ttot = telapsed # Total time to perform maneuver - Vinit = Vref*Vvehicle(0) # Initial vehicle velocity - Winit = pi/180*(anglevehicle(1e-6) - anglevehicle(0))/(1e-6*ttot) # Initial angular velocity - # Maximum number of particles - max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.vlm_system)+1)*p_per_step) - - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; - Vinit=Vinit, Winit=Winit) - - # ------------- SIMULATION MONITOR ----------------------------------------- - y2b = 2*wing._ym/b - - # Weber's lift distribution data (Table 3) - web_2yb = [0.0, 0.041, 0.082, 0.163, 0.245, 0.367, 0.510, 0.653, 0.898, 0.949] - web_Cl = [0.235, 0.241, 0.248, 0.253, 0.251, 0.251, 0.251, 0.246, 0.192, 0.171] - web_CL = 0.238 - web_ClCL = web_Cl/web_CL - - # Weber's drag distribution data (Table 3) - web_Cd = [0.059, 0.025, 0.016, 0.009, 0.007, 0.006, 0.006, 0.004, -0.002, -0.007] - web_CD = 0.005 - web_CdCD = web_Cd/web_CD - - prev_wing = nothing - prev_system = nothing - - fig1, fig2 = nothing, nothing - axs1, axs2 = nothing, nothing - - - function monitor(sim, PFIELD, T, DT; figname="monitor_$(save_path)", - nsteps_plot=1) - - aux = PFIELD.nt/nsteps - clr = (1-aux, 0, aux) - - if PFIELD.nt==0 && disp_plot - fig1 = figure(figname, figsize=[7*2, 5*2]*figsize_factor) - axs1 = fig1.subplots(2, 2) - axs1 = [axs1[1], axs1[3], axs1[2], axs1[4]] - - ax = axs1[1] - ax.set_xlim([0,1]) - ax.set_xlabel(L"$\frac{2y}{b}$") - ax.set_ylabel(L"$\frac{Cl}{CL}$") - ax.set_title("Spanwise lift distribution") - - ax = axs1[2] - ax.set_xlim([0,1]) - ax.set_xlabel(L"$\frac{2y}{b}$") - ax.set_ylabel(L"$\frac{Cd}{CD}$") - ax.set_title("Spanwise drag distribution") - - ax = axs1[3] - ax.set_xlabel("Simulation time (s)") - ax.set_ylabel(L"Lift Coefficient $C_L$") - - ax = axs1[4] - ax.set_xlabel("Simulation time (s)") - ax.set_ylabel(L"Drag Coefficient $C_D$") - - fig2 = figure(figname*"_2", figsize=[7*2, 5*1]*figsize_factor) - axs2 = fig2.subplots(1, 2) - - ax = axs2[1] - ax.set_xlabel(L"$\frac{2y}{b}$") - ax.set_ylabel(L"Circulation $\Gamma$") - - ax = axs2[2] - ax.set_xlabel(L"$\frac{2y}{b}$") - ax.set_ylabel(L"Effective velocity $V_\infty$") - - end - - if PFIELD.nt!=0 && PFIELD.nt%nsteps_plot==0 && disp_plot - figure(figname) - - - # Force at each VLM element - Ftot = uns.calc_aerodynamicforce(system, prev_system, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t) - L, D, S = uns.decompose(Ftot, [0,0,1], [-1,0,0]) - vlm._addsolution(system, "L", L) - vlm._addsolution(system, "D", D) - vlm._addsolution(system, "S", S) - - L, D, S = wing.sol["L"], wing.sol["D"], wing.sol["S"] - - # Force per unit span at each VLM element - ftot = uns.calc_aerodynamicforce(wing, prev_wing, PFIELD, Vinf, DT, - rhoinf; t=PFIELD.t, per_unit_span=true) - l, d, s = uns.decompose(ftot, [0,0,1], [-1,0,0]) - - # Lift of the wing - Lwing = norm(sum(L)) - CLwing = Lwing/(qinf*b^2/ar) - ClCL = norm.(l) / (Lwing/b) - - # Drag of the wing - Dwing = norm(sum(D)) - CDwing = Dwing/(qinf*b^2/ar) - CdCD = [sign(dot(this_d, [1,0,0])) for this_d in d].*norm.(d) / (Dwing/b) # Preserves the sign of drag - - vlm._addsolution(wing, "Cl/CL", ClCL) - vlm._addsolution(wing, "Cd/CD", CdCD) - - ax = axs1[1] - ax.plot(web_2yb, web_ClCL, "ok", label="Weber's experimental data") - ax.plot(y2b, ClCL, "-", label="FLOWVLM", alpha=0.5, color=clr) - - ax = axs1[2] - ax.plot(web_2yb, web_CdCD, "ok", label="Weber's experimental data") - ax.plot(y2b, CdCD, "-", label="FLOWVLM", alpha=0.5, color=clr) - - ax = axs1[3] - ax.plot([0, T], web_CL*ones(2), ":k", label="Weber's experimental data") - ax.plot([T], [CLwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - ax = axs1[4] - ax.plot([0, T], web_CD*ones(2), ":k", label="Weber's experimental data") - ax.plot([T], [CDwing], "o", label="FLOWVLM", alpha=0.5, color=clr) - - ax = axs2[1] - ax.plot(y2b, wing.sol["Gamma"], "-", label="FLOWVLM", alpha=0.5, color=clr) - if wake_coupled && PFIELD.nt!=0 - ax = axs2[2] - ax.plot(y2b, norm.(wing.sol["Vkin"])/magVinf, "-", label="FLOWVLM", alpha=0.5, color=[clr[1], 1, clr[3]]) - if VehicleType!=uns.QVLMVehicle; ax.plot(y2b, norm.(wing.sol["Vvpm"]), "-", label="FLOWVLM", alpha=0.5, color=clr); end; - ax.plot(y2b, [norm(Vinf(vlm.getControlPoint(wing, i), T)) for i in 1:vlm.get_m(wing)], - "-k", label="FLOWVLM", alpha=0.5) - end - - end - - prev_wing = deepcopy(wing) - prev_system = deepcopy(system) - - return false - end - - - # ------------- RUN SIMULATION --------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Running simulation..."); end; - # Run simulation - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - vlm_rlx=vlm_rlx, - max_particles=max_particles, - wake_coupled=wake_coupled, - shed_unsteady=shed_unsteady, - vpm_surface=vpm_surface, - surf_sigma=surf_sigma, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose2, v_lvl=v_lvl+1, - save_horseshoes=!wake_coupled || VehicleType==uns.QVLMVehicle - ) - - return simulation, pfield -end diff --git a/examples/DEPRECATED/vahana/vahana.jl b/examples/DEPRECATED/vahana/vahana.jl deleted file mode 100644 index b5ffa7d3..00000000 --- a/examples/DEPRECATED/vahana/vahana.jl +++ /dev/null @@ -1,285 +0,0 @@ -#=############################################################################## -# DESCRIPTION - Unsteady simulation of eVTOL transition maneuver on tilt-wing, tandem, - distributed propulsion aircraft. - - REFERENCES - * Vahana geometry: Droandi, G., Syal, M., and Bower, G., “Tiltwing Multi-Rotor - Aerodynamic Modeling in Hover, Transition and Cruise Flight Conditions,” AHS - International 74th Annual Forum & Technology Display, 2018, p. 2018. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Oct 2019 - * License : MIT -=############################################################################### - - -# ------------ MODULES --------------------------------------------------------- -import FLOWUnsteady - -uns = FLOWUnsteady -vpm = uns.vpm -vlm = uns.vlm -gt = GeometricTools - -# ------------ GLOBAL VARIABLES ------------------------------------------------ -# Default path where to save data -extdrive_path = "/media/edoalvar/Samsung_T5/simulationdata202102/" - -# Default data path where to find rotor and airfoil data -data_path = uns.def_data_path - -# ------------ HEADERS --------------------------------------------------------- -for header_name in ["geometry", "kinematics", "monitor"] - include("vahana_"*header_name*".jl") -end - - -# ------------ DRIVERS --------------------------------------------------------- - -function run_simulation_vahana(; save_path=extdrive_path*"vahana_sim09", - prompt=true, - run_name="vahana", - verbose=true, v_lvl=1) - - # ----------------- PARAMETERS --------------------------------------------- - - # Geometry options - n_factor = 1 # Refinement factor - add_rotors = true # Whether to include rotors - - # # Maneuver to perform - # Vcruise = 0.125 * 125*0.44704 # Cruise speed - # RPMh_w = 600 # RPM of main wing rotors in hover - # telapsed = 60.0 # Total time to perform maneuver - # nsteps = 9000 # Time steps - - # Maneuver to perform - Vcruise = 0.25 * 125*0.44704 # Cruise speed - Vinf(x,t) = 1e-5*[1,0,-1] # (m/s) freestream velocity, if 0 the simulation might crash - # RPMh_w = 200 # RPM of main wing rotors in hover - # RPMh_w = 20 - RPMh_w = 100 - telapsed = 30.0 # Total time to perform maneuver - nsteps = 1500 # Time steps - # nsteps = 100 - - dt = telapsed/nsteps - - # Simulation options - rho = 1.225 # (kg/m^3) air density - mu = 1.81e-5 # Air dynamic viscosity - - # Solver options - R = 0.75 # (m) blade radius as a reference - lambda = 4.0 # Target minimum core overlap - p_per_step = 4 # Particle sheds per time step - overwrite_sigma = lambda * (2*pi*RPMh_w/60*R + Vcruise)*dt / p_per_step - # vlm_sigma = R/25 # VLM regularization - # vlm_sigma = R - vlm_sigma = -1 - vlm_rlx = 0.75 # VLM relaxation (deactivated with -1) - surf_sigma = R/10 # Surface regularization - shed_unsteady = false # Shed unsteady-loading particles - VehicleType = uns.QVLMVehicle # Type of vehicle to generate - - - - # ----------------- MANEUVER DEFINITION ------------------------------------ - # Generate maneuver - maneuver = generate_maneuver_vahana1(; add_rotors=add_rotors) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; tstages=[0.2, 0.3, 0.5, 0.6]) - - - # ----------------- GEOMETRY GENERATION ------------------------------------ - # Generate geometry - (vehicle, grounds) = generate_geometry_vahana(; n_factor=n_factor, - xfoil=false, - data_path=data_path, - run_name=run_name, - add_rotors=add_rotors, - VehicleType=VehicleType) - - # Move landing pad to landing area - gt.lintransform!(grounds[2], eye(3), Vcruise*telapsed*[-0.25, 0, -0.0025]) - - # ----------------- SIMULATION SETUP --------------------------------------- - Vref = Vcruise - RPMref = RPMh_w - ttot = telapsed - max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.vlm_system)+1)*p_per_step) - - Vinit = Vref*maneuver.Vvehicle(0) # (m/s) initial vehicle velocity - # (rad/s) initial vehicle angular velocity - Winit = pi/180 * (maneuver.anglevehicle(0+1e-12)- - maneuver.anglevehicle(0))/(ttot*1e-12) - - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; - Vinit=Vinit, Winit=Winit) - - # ----------------- SIMULATION MONITOR ------------------------------------- - monitor = generate_monitor_vahana(vehicle, rho, RPMref, nsteps, save_path, Vinf) - - # ----------------- RUN SIMULATION ----------------------------------------- - pfield = uns.run_simulation(simulation, nsteps; - # SIMULATION OPTIONS - Vinf=Vinf, - rho=rho, - mu=mu, - # SOLVERS OPTIONS - p_per_step=p_per_step, - overwrite_sigma=overwrite_sigma, - vlm_sigma=vlm_sigma, - vlm_rlx=vlm_rlx, - surf_sigma=surf_sigma, - max_particles=max_particles, - shed_unsteady=shed_unsteady, - extra_runtime_function=monitor, - # OUTPUT OPTIONS - save_path=save_path, - run_name=run_name, - prompt=prompt, - verbose=verbose, v_lvl=v_lvl, - save_code=splitdir(@__FILE__)[1] - ) - - # Save ground - for (i, ground) in enumerate(grounds) - gt.save(ground, run_name*"_Ground$i"; path=save_path) - end - - return simulation, pfield -end - - -function visualize_maneuver_vahana(; save_path=extdrive_path*"vahana_maneuver00/", - prompt=true, - run_name="vahana", - verbose=true, v_lvl=0, - paraview=true, - optargs...) - - # Maneuver to perform - Vcruise = 0.25 * 125*0.44704 # Cruise speed - RPMh_w = 400.0 # RPM of main wing rotors in hover - telapsed = 30.0 # Total time to perform maneuver - nsteps = 100 # Time steps - - # # Maneuver to perform - # Vcruise = 0.25 * 125*0.44704 # Cruise speed - # RPMh_w = 1200.0 # RPM of main wing rotors in hover - # telapsed = 30.0 # Total time to perform maneuver - # nsteps = 9000 # Time steps - - # # Maneuver to perform - # Vcruise = 0.25 * 125*0.44704 # Cruise speed - # RPMh_w = 1200.0 # RPM of main wing rotors in hover - # telapsed = 30.0 # Total time to perform maneuver - # nsteps = 27000 # Time steps - - # # Maneuver to perform - # Vcruise = 0.125 * 125*0.44704 # Cruise speed - # RPMh_w = 600.0 # RPM of main wing rotors in hover - # telapsed = 60.0 # Total time to perform maneuver - # nsteps = 9000 # Time steps - - dt = telapsed/nsteps - - # Generate maneuver - maneuver = generate_maneuver_vahana1(; optargs...) - - # Plot maneuver path and controls - uns.plot_maneuver(maneuver; tstages=[0.2, 0.3, 0.5, 0.6]) - - - # Generate geometry - (vehicle, grounds) = generate_geometry_vahana(; n_factor=1, - xfoil=false, - data_path=data_path, - run_name=run_name, - optargs...) - - # Simulation setup - Vref = Vcruise - RPMref = RPMh_w - ttot = telapsed - - Vinit = Vref*maneuver.Vvehicle(0) # (m/s) initial vehicle velocity - # (rad/s) initial vehicle angular velocity - Winit = pi/180 * (maneuver.anglevehicle(0+1e-12)- - maneuver.anglevehicle(0))/(ttot*1e-12) - - simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; - Vinit=Vinit, Winit=Winit) - - save_vtk_optsargs = [(:save_horseshoes, false)] - - # Visualize maneuver - strn = uns.visualize_kinematics(simulation, nsteps, save_path; - run_name=run_name, - save_vtk_optsargs=save_vtk_optsargs, - prompt=prompt, verbose=verbose, v_lvl=v_lvl, - paraview=false - ) - - # Move landing pad to landing area - vlm.vtk.lintransform!(grounds[2], eye(3), Vcruise*telapsed*[-0.25, 0, -0.0025]) - - # Save ground - for (i, ground) in enumerate(grounds) - gt.save(ground, run_name*"_Ground$i"; path=save_path) - strn *= run_name*"_Ground$i.vtk;" - end - - # Call paraview - if paraview - run(`paraview --data="$save_path/$strn"`) - end - - return strn -end - - -""" - Generates geometry of Vahana aircraft, saves it as vtk files, and calls - Paraview visualizing the VTK geometry. -""" -function visualize_geometry_vahana(; save_path=extdrive_path*"vahana_geometry00/", - prompt=true, run_name="vahana", optargs...) - - (vehicle, grounds) = generate_geometry_vahana(; n_factor=1, - xfoil=false, - data_path=data_path, - run_name=run_name, - optargs...) - - - # Setup dummy freestream and RPMs for horseshoe visualization - Vinf(x,t) = [1,0,0] - vlm.setVinf(vehicle.system, Vinf) - - for rotor_system in vehicle.rotor_systems - for rotor in rotor_system - vlm.setRPM(rotor, 6000) - end - end - - # Create save path - gt.create_path(save_path, prompt) - - # Save vehicle - strn = uns.save_vtk(vehicle, run_name; path=save_path, save_horseshoes=false) - - # Save ground - for (i, ground) in enumerate(grounds) - gt.save(ground, run_name*"_Ground$i"; path=save_path) - strn *= run_name*"_Ground$i.vtk;" - end - - # Call Paraview - run(`paraview --data="$save_path/$strn"`) -end diff --git a/examples/DEPRECATED/vahana/vahana_geometry.jl b/examples/DEPRECATED/vahana/vahana_geometry.jl deleted file mode 100644 index 73d0fd2f..00000000 --- a/examples/DEPRECATED/vahana/vahana_geometry.jl +++ /dev/null @@ -1,1067 +0,0 @@ -#=############################################################################## -# DESCRIPTION - Vahana vehicle geometry generation. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Oct 2019 - * License : MIT -=############################################################################### - -#= - -Geometry functions (e.g., `generategeometry_vahana`) are expected have the -following format: - - OUTPUTS - * `system::vlm.WingSystem`: System of all FLOWVLM objects. - * `rotors::Array{vlm.Rotor, 1}`: System of all FLOWVLM Rotor objects. - * `tilting_systems::Tuple(vlm.WingSystem, ...)`: Tuple of all FLOWVLM - tilting objects, where - `tilting_systems[i]` contains the i-th - FLOWVLM system of lifting surfaces and - rotors that tilt together. - * `rotor_systems::Tuple(Array{vlm.Rotor,1}, ...)`: Tuple of groups of - Rotors that share a common RPM. - * `vlm_system::vlm.WingSystem`: System of all FLOWVLM objects to be - solved through the VLM solver. - * `wake_system::vlm.WingSystem`: System of all FLOWVLM objects that will - shed a VPM wake. - * `fuselage::gt.Grid`: Grid object of the fuselage. - * `grounds::gt.Grid`: Grid object of the ground. - * `strn::String` String containing all vtk file names - that will be generated if `system` is - saved. - - NOTES - * Maneuver functions are expected to return `(Vaircraft, angles, RPMs)`, - where `Vaircraft(t)` is the translation velocity of both `system` - and `fuselage`, `angles(t)[i]` is the tilt angle of - `tilting_systems[i]`, `RPMs(t)[i]` is the RPM of - `rotor_systems[i]`. `angles(t)[end]` is the tilt angle of the - entire aircraft. -=# - - -""" - Generates the geometry of Vahana aircraft -""" -function generate_geometry_vahana(; - # AIRCRAFT OPTIONS - rotor_file="apc10x7Vahana.csv", # Rotor - # rotor_file="DJI-IIVahana.csv", - data_path=uns.def_data_path, - xfoil=true, # Run XFOIL - n_factor::Int=1, # Refinement factor - add_rotors=true, - VehicleType=uns.VLMVehicle, # Type of vehicle to generate - # OUTPUT OPTIONS - run_name="vahana", - verbose=true, v_lvl=0) - - ############################################################################ - # PARAMETERS - ############################################################################ - - if verbose; println("\t"^(v_lvl)*"Defining parameters..."); end; - - # ------------ GEOMETRIC PARAMETERS ------------------------------------ - init_ori = 90.0 # Initial orientation of wings - init_ori_prop = 0*90.0 # Initial orientation of rotors - - # Rotors - # NOTE: The radii defined here must match the radius in rotor_file - R_w = 0.75 # (m) main wing rotor radius - R_tw = R_w # (m) tandem wing rotor radius - CW_w = true # Clockwise main wing rotor - CW_tw = false # Clockwise tandem wing rotor - np_w = 2 # Number of propellers on wing on each side - np_tw = 2 # Number of propellers on tandem wing each side - n_ccb = 7*n_factor # Number of CCBlade elements - ReD07 = 1.5e6 # Prop Reynolds number of relative velocity at r/R=0.7 - ReD = ReD07/0.7 # Reynolds at tip - pitch = 0.0 # (deg) pitch of propellers - soD = 0.1 # Tip-to-tip distance of rotors over diameter - xoc_offset = 0.1 # Axial distance of rotors from LE over chord - - # Wing - b_w = 5.86 # (m) span - AR_w = 7.4 # Aspect ratio - tr_w = 1.0 # Taper ratio - twist_r_w = 7.5 # (deg) twist at root - twist_t_w = twist_r_w # (deg) twist at tip - lambda_w = 0.0 # (deg) sweep - gamma_w = 0.0 # (deg) dihedral - n_w = 12*n_factor # Number of horseshoes per side of wing - r_w = 2.0 # Horseshoe expansion ratio - md_w = 0.2 # Ratio of length of middle section - pivot_w = 1/4 # Pivot point along chord of tilt-wing - - # Wing winglets - b_wl = b_w/4 # (m) span of winglet from top to bottom - AR_wl = 3.0 # Aspect ratio - tr_wl = (b_wl/AR_wl)/(b_w/AR_w/tr_w) # Taper ratio - twist_r_wl = 2.5 # (deg) twist at root - twist_t_wl = 0.0 # (deg) twist at tip - lambda_wl = 40.0 # (deg) sweep - gamma_wl = 15.0 # (deg) dihedral - n_wl = 4*n_factor # Number of horseshoes per side of wing - r_wl = 2.0 # Horseshoe expansion ratio - - # Tandem wing - b_tw = b_w*1.0 # (m) span - AR_tw = 9.5 # Aspect ratio - tr_tw = 1.0 # Taper ratio - twist_r_tw = 4.0 # (deg) twist at root - twist_t_tw = twist_r_tw # (deg) twist at tip - lambda_tw = 0.0 # (deg) sweep - gamma_tw = 0.0 # (deg) dihedral - n_tw = n_w # Number of horseshoes per side of wing - r_tw = r_w # Horseshoe expansion ratio - md_tw = md_w # Ratio of length of middle section - pivot_tw = pivot_w # Pivot point along chord of tilt-wing - - # Fuselage - l_f = 5.86 # (m) length - h_f = 2.81*2/3 # (m) height - c_pos_f1 = 0 # (m) span position of first chord - c_pos_f2 = 0.2*h_f # (m) span position of second chord - c_pos_f3 = 0.7*h_f - c_pos_f4 = h_f - c_f1 = 0.66*l_f # (m) length of first chord - c_f2 = 0.75*l_f - c_f3 = 0.75*l_f - c_f4 = 0.50*l_f - x_pos_f1 = 0.025*l_f # (m) x-position of first chord - x_pos_f2 = 0.0*l_f - x_pos_f3 = 0.20*l_f - x_pos_f4 = 0.50*l_f - - # ------------ ASSEMBLY PARAMETERS ------------------------------------ - # Position of wings on fuselage - h_pos_w = 0.90*h_f # (m) height position of wing - h_pos_tw = 0.15*h_f # (m) height position of tandem wing - l_pos_w = 0.95*l_f-b_w/AR_w/tr_w # (m) length position of wing - l_pos_tw = 0.05*l_f # (m) length position of tandem wing - - # Position of propellers on main wing - # d_prop_w = d_factor*b_w/2/np_w# Distance between propellers on wing - d_prop_w = (1+soD)*(2*R_w) - y_pos_prop_w = Float64[b_w/2 - i*d_prop_w for i in 0:np_w-1] # y-positions - - # Position of propellers on tandem wing - # d_prop_tw = d_factor*b_tw/2/np_tw# Distance between propellers on wing - d_prop_tw = (1+soD)*(2*R_tw) - y_pos_prop_tw = Float64[b_tw/2 - i*d_prop_tw for i in 0:np_tw-1] # y-positions - - - ############################################################################ - # ASSEMBLY - ############################################################################ - - if verbose; println("\t"^(v_lvl)*"Generating geometry..."); end; - - # ------------ ROTORS ------------------------------------------------ - # Generates base propellers (one on each rotation orientation) - if add_rotors - propellers = vlm.Rotor[] - if verbose; println("\t"^(v_lvl+1)*"Generating first propeller..."); end; - push!(propellers, uns.generate_rotor(rotor_file; pitch=pitch, - n=n_ccb, CW=!CW_w, ReD=ReD, - verbose=verbose, xfoil=xfoil, - data_path=data_path, plot_disc=false)) - if verbose; println("\t"^(v_lvl+1)*"Generating second propeller..."); end; - # push!(propellers, generate_rotor(pitch; n=n_ccb, CW=CW_w, ReD=ReD, - # verbose=verbose, xfoil=xfoil, rotor_file=rotor_file)) - push!(propellers, vlm.Rotor(!propellers[1].CW, propellers[1].r, - propellers[1].chord, propellers[1].theta, - propellers[1].LE_x, propellers[1].LE_z, - propellers[1].B, propellers[1].airfoils)) - vlm.initialize(propellers[2], propellers[1].m) - end - - - # ------------ MAIN WING --------------------------------------------- - # Generates wing - if verbose; println("\t"^(v_lvl+1)*"Generating main wing assembly..."); end; - - # wing = vlm.simpleWing(b_w, AR_w, tr_w, twist_r_w, lambda_w, gamma_w; - # twist_tip=twist_t_w, n=n_w, r=r_w) - - # Middle section - # tip = b/ar - # root = tip/tr - # newtip = root + md*(tip-root) = tip/tr + md*tip*(1 - 1/tr) = tip * ( md + (1/tr)*(1-md) ) - # newtr = newtip/root = 1 + md*(tip/root - 1) = 1 + md*(tr - 1) - # newar = b/newtip = ar / ( md + (1/tr)*(1-md) ) - pos_md_w = [-md_w, 0.0, md_w] - clen_md_w = [md_w + (1/tr_w)*(1-md_w), 1/tr_w, md_w + (1/tr_w)*(1-md_w)] - twist_md_w = [twist_r_w + md_w*(twist_t_w-twist_r_w), twist_r_w, twist_r_w + md_w*(twist_t_w-twist_r_w)] - wing_md = vlm.complexWing(b_w, AR_w, ceil(Int, md_w*n_w), pos_md_w, clen_md_w, twist_md_w, - lambda_w*ones(2), gamma_w*ones(2); - symmetric=false, chordalign=0.0, - _ign1=true) - # Left section - pos_l_w = [-1, pos_md_w[1]] - clen_l_w = [1, clen_md_w[1]] - twist_l_w = [twist_t_w, twist_md_w[1]] - wing_L = vlm.complexWing(b_w, AR_w, ceil(Int, (1-md_w)*n_w/2), pos_l_w, clen_l_w, - twist_l_w, lambda_w*ones(1), gamma_w*ones(1); - symmetric=false, chordalign=0.0, - _ign1=true) - # Right section - pos_r_w = [pos_md_w[end], 1] - clen_r_w = [clen_md_w[end], 1] - twist_r_w = [twist_md_w[end], twist_t_w] - wing_R = vlm.complexWing(b_w, AR_w, ceil(Int, (1-md_w)*n_w/2), pos_r_w, clen_r_w, - twist_r_w, lambda_w*ones(1), gamma_w*ones(1); - symmetric=false, chordalign=0.0, - _ign1=true) - - # Generates winglets - winglet_R = vlm.simpleWing(b_wl, AR_wl, tr_wl, twist_r_wl, lambda_wl, gamma_wl; - twist_tip=twist_t_wl, n=n_wl, r=r_wl) - winglet_L = vlm.simpleWing(b_wl, AR_wl, tr_wl, twist_r_wl, lambda_wl, gamma_wl; - twist_tip=twist_t_wl, n=n_wl, r=r_wl) - O_wl_R = (b_w/2)*[tan(lambda_w*pi/180), 1, tan(gamma_w*pi/180)] - O_wl_L = [1 0 0; 0 -1 0; 0 0 1]*O_wl_R - Oaxis_wl_R = vlm.vtk.rotation_matrix(0.0, 0.0, 90.0) - Oaxis_wl_L = vlm.vtk.rotation_matrix(0.0, 0.0, -90.0) - vlm.setcoordsystem(winglet_R, O_wl_R, Oaxis_wl_R) - vlm.setcoordsystem(winglet_L, O_wl_L, Oaxis_wl_L) - - ## Generates propellers on wing (from right to left) - if add_rotors - if verbose; println("\t"^(v_lvl+2)*"Generating main wing propellers..."); end; - O_prop_w = [ ypos*[tan(lambda_w*pi/180), 1, tan(gamma_w*pi/180)] + [-xoc_offset*AR_w/b_w, 0, 0] - for ypos in y_pos_prop_w] - props_w = vlm.Rotor[] - for i in 1:2*np_w - right = i<=np_w # Indicates which side of the wing - copy_prop = propellers[1+i%2] - this_prop = deepcopy(copy_prop) # Alternates rotation orientation - this_O = O_prop_w[ right ? i : np_w-(i-np_w-1)] # Chooses position - this_O = [1 0 0; 0 (-1)^!right 0; 0 0 1]*this_O # Places it in correct side - - vlm.setcoordsystem(this_prop, this_O, Float64[1 0 0; 0 1 0; 0 0 1]; user=true) - - # Rotates props to be tip to tip - vlm.rotate(this_prop, (-1)^(!CW_w) * init_ori_prop) - - # Adds the original polars that don't get copied in deepcopy - this_prop.airfoils = copy_prop.airfoils - this_prop._polars = copy_prop._polars - this_prop._polarroot = copy_prop._polarroot - this_prop._polartip = copy_prop._polartip - - push!(props_w, this_prop) - end - end - - # Assembles moving sections of the wing - main_wing_moving = vlm.WingSystem() - vlm.addwing(main_wing_moving, "WingR", wing_R) - vlm.addwing(main_wing_moving, "WingletR", winglet_R) - vlm.addwing(main_wing_moving, "WingL", wing_L) - vlm.addwing(main_wing_moving, "WingletL", winglet_L) - if add_rotors - for (i, prop) in enumerate(props_w) - vlm.addwing(main_wing_moving, "Prop$i", prop) - end - end - - # offset to align with pivot line - x_off_w = pivot_w*b_w/AR_w - - # Aligns moving and fixed section with their pivot line - O_off_w = [-x_off_w, 0.0, 0.0] - - vlm.setcoordsystem(wing_md, O_off_w, eye(3)) - - for vlmwing in main_wing_moving.wings - if typeof(vlmwing)==vlm.Rotor - vlm.setcoordsystem(vlmwing, vlmwing._wingsystem.O + O_off_w, - vlmwing._wingsystem.Oaxis; user=false) - else - vlm.setcoordsystem(vlmwing, vlmwing.O + O_off_w, vlmwing.Oaxis) - end - end - - # Initial rotation of moving sections - Oaxis_wmv = vlm.vtk.rotation_matrix(0.0, -init_ori, 0.0) - vlm.setcoordsystem(main_wing_moving, zeros(3), Oaxis_wmv) - - # Assembles main wing - main_wing = vlm.WingSystem() - vlm.addwing(main_wing, "FixedWing", wing_md) - vlm.addwing(main_wing, "Moving", main_wing_moving) - - # Position of main wing - O_w = [l_pos_w + x_off_w, 0, h_pos_w] - Oaxis_w = vlm.vtk.rotation_matrix(0.0, 0.0, 0.0) - vlm.setcoordsystem(main_wing, O_w, Oaxis_w) - - # ------------ TANDEM WING ------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating tandem wing assembly..."); end; - - # Generates tandem wing - twing = vlm.simpleWing(b_tw, AR_tw, tr_tw, twist_r_tw, lambda_tw, - gamma_tw; twist_tip=twist_t_tw, n=n_tw, r=r_tw) - - # Middle section - pos_md_tw = [-md_tw, 0.0, md_tw] - clen_md_tw = [md_tw + (1/tr_tw)*(1-md_tw), 1/tr_tw, - md_tw + (1/tr_tw)*(1-md_tw)] - twist_md_tw = [twist_r_tw + md_tw*(twist_t_tw-twist_r_tw), - twist_r_tw, twist_r_tw + md_tw*(twist_t_tw-twist_r_tw)] - twing_md = vlm.complexWing(b_tw, AR_tw, ceil(Int, md_tw*n_tw), pos_md_tw, - clen_md_tw, twist_md_tw, - lambda_tw*ones(2), gamma_tw*ones(2); - symmetric=false, chordalign=0.0, - _ign1=true) - # Left section - pos_l_tw = [-1, pos_md_tw[1]] - clen_l_tw = [1, clen_md_tw[1]] - twist_l_tw = [twist_t_tw, twist_md_tw[1]] - twing_L = vlm.complexWing(b_tw, AR_tw, ceil(Int, (1-md_tw)*n_tw/2), pos_l_tw, - clen_l_tw, twist_l_tw, - lambda_tw*ones(1), gamma_tw*ones(1); - symmetric=false, chordalign=0.0, - _ign1=true) - # Right section - pos_r_tw = [pos_md_tw[end], 1] - clen_r_tw = [clen_md_tw[end], 1] - twist_r_tw = [twist_md_tw[end], twist_t_tw] - twing_R = vlm.complexWing(b_tw, AR_tw, ceil(Int, (1-md_tw)*n_tw/2), pos_r_tw, - clen_r_tw, twist_r_tw, - lambda_tw*ones(1), gamma_tw*ones(1); - symmetric=false, chordalign=0.0, - _ign1=true) - - ## Generates propellers on tandem wing (from right to left) - if add_rotors - if verbose; println("\t"^(v_lvl+2)*"Generating tandem wing propellers..."); end; - O_prop_tw = [ ypos*[tan(lambda_tw*pi/180), 1, tan(gamma_tw*pi/180)] + [-xoc_offset*AR_tw/b_tw, 0, 0] - for ypos in y_pos_prop_tw] - props_tw = vlm.Rotor[] - for i in 1:2*np_tw - right = i<=np_tw # Indicates which side of the wing - copy_prop = propellers[1+(i+(CW_tw!=CW_w))%2] - this_prop = deepcopy(copy_prop) # Alternates rotation orientation - this_O = O_prop_tw[ right ? i : np_tw-(i-np_tw-1)] # Chooses position - this_O = [1 0 0; 0 (-1)^!right 0; 0 0 1]*this_O # Places it in correct side - - vlm.setcoordsystem(this_prop, this_O, Float64[1 0 0; 0 1 0; 0 0 1]; user=true) - - # Rotates props to be tip to tip - vlm.rotate(this_prop, (-1)^(!CW_tw) * init_ori_prop) - - # Adds the original polars that don't get copied in deepcopy - this_prop.airfoils = copy_prop.airfoils - this_prop._polars = copy_prop._polars - this_prop._polarroot = copy_prop._polarroot - this_prop._polartip = copy_prop._polartip - - push!(props_tw, this_prop) - end - end - - # Assembles moving sections of the wing - tandem_wing_moving = vlm.WingSystem() - vlm.addwing(tandem_wing_moving, "WingR", twing_R) - vlm.addwing(tandem_wing_moving, "WingL", twing_L) - if add_rotors - for (i, prop) in enumerate(props_tw) - vlm.addwing(tandem_wing_moving, "Prop$i", prop) - end - end - - # offset to align with pivot line - x_off_tw = pivot_tw*b_tw/AR_tw - - # Aligns moving and fixed section with their pivot line - O_off_tw = [-x_off_tw, 0.0, 0.0] - - vlm.setcoordsystem(twing_md, O_off_tw, eye(3)) - - for vlmwing in tandem_wing_moving.wings - if typeof(vlmwing)==vlm.Rotor - vlm.setcoordsystem(vlmwing, vlmwing._wingsystem.O + O_off_tw, - vlmwing._wingsystem.Oaxis; user=false) - else - vlm.setcoordsystem(vlmwing, vlmwing.O + O_off_tw, vlmwing.Oaxis) - end - end - - # Initial rotation of moving sections - Oaxis_twmv = vlm.vtk.rotation_matrix(0.0, -init_ori, 0.0) - vlm.setcoordsystem(tandem_wing_moving, zeros(3), Oaxis_twmv) - - # Assembles tandem wing - tandem_wing = vlm.WingSystem() - vlm.addwing(tandem_wing, "FixedWing", twing_md) - vlm.addwing(tandem_wing, "Moving", tandem_wing_moving) - - # Position of tandem wing - O_tw = [l_pos_tw + x_off_tw, 0, h_pos_tw] - Oaxis_tw = vlm.vtk.rotation_matrix(0.0, 0.0, 0.0) - vlm.setcoordsystem(tandem_wing, O_tw, Oaxis_tw) - - # ------------ FUSELAGE ---------------------------------------------- - if verbose; println("\t"^(v_lvl+1)*"Generating fuselage..."); end; - # Generates fuselage - fuselage = vlm.Wing(x_pos_f1, c_pos_f1, 0.0, c_f1, 0.0) - vlm.addchord(fuselage, x_pos_f2, c_pos_f2, 0.0, c_f2, 0.0, 1) - vlm.addchord(fuselage, x_pos_f3, c_pos_f3, 0.0, c_f3, 0.0, 1) - vlm.addchord(fuselage, x_pos_f4, c_pos_f4, 0.0, c_f4, 0.0, 1) - Oaxis_f = vlm.vtk.rotation_matrix(0.0, 0.0, -90.0) - vlm.setcoordsystem(fuselage, zeros(Float64,3), Oaxis_f) - - fuselage = generatefuselage_vahana(l_f) - - - # ------------ SYSTEM ------------------------------------------------ - # Creates system assembly - system = vlm.WingSystem() - vlm.addwing(system, "MainWing", main_wing) - vlm.addwing(system, "TandemWing", tandem_wing) - - if add_rotors - rotors = vcat(props_w, props_tw) - end - - # ------------ GROUND SURFACE ---------------------------------------- - ground1 = generate_ground_vahana(l_f) # Take-off pad - ground2 = generate_ground_vahana(l_f) # Landing pad - - grounds = (ground1, ground2) - - - # ------------ OUTPUTS------------------------------------------------ - # Tilting systems - tilting_systems = (main_wing_moving, tandem_wing_moving) - - # Rotors grouped by systems of the same RPM - if add_rotors - rotor_systems = (props_w, props_tw) - else - rotor_systems = () - end - - # System to solve through the VLM solver - vlm_system_m = vlm.WingSystem() - vlm.addwing(vlm_system_m, "R", wing_R) - vlm.addwing(vlm_system_m, "letR", winglet_R) - vlm.addwing(vlm_system_m, "L", wing_L) - vlm.addwing(vlm_system_m, "letL", winglet_L) - vlm_system_t = vlm.WingSystem() - vlm.addwing(vlm_system_t, "R", twing_R) - vlm.addwing(vlm_system_t, "L", twing_L) - - vlm_system = vlm.WingSystem() - vlm.addwing(vlm_system, "MWing", vlm_system_m) - vlm.addwing(vlm_system, "TWing", vlm_system_t) - - # Wake-shedding system (`vlm_system`+`rotors`) - wake_system = vlm.WingSystem() - vlm.addwing(wake_system, "SolveVLM", vlm_system) - if add_rotors - if VehicleType==uns.VLMVehicle - for (i, rotor) in enumerate(rotors) - vlm.addwing(wake_system, "Rotor$i", rotor) - end - else - # Mute colinear warnings. This is needed since the quasi-steady solver - # will probe induced velocities at the lifting line of the blade - uns.vlm.VLMSolver._mute_warning(true) - end - end - - # Dummy grids that are rotated and translated along with the vehicle - grids = [fuselage] - - # FVS's Vehicle object - vehicle = VehicleType( system; - tilting_systems=tilting_systems, - rotor_systems=rotor_systems, - vlm_system=vlm_system, - # wake_system=vlm_system, - wake_system=wake_system, - grids=grids - ) - - - return vehicle, grounds -end - - - - - - - - - - - - - - - - - - - - - -""" - Returns a loft of the Vahana fuselage. -""" -function generatefuselage_vahana(fuselage_length; ncells=20) - sections = [[] for i in 1:6] - - # --------------- SECTION #1------------------------------------------------ - Ps = [ - [0.5, 0.1+0.2], - [0.0, 1.0], - [-0.5, 0.1+0.2], - [0, -0.20+0.2] - ] - - CPs = [ - [0.4, 1.0], - [-0.4, 1.0], - [-0.1, -0.3+0.2], - [0.1, -0.3+0.2], - ] - - rhos = [ - 0.6, - 0.6, - 0.2, - 0.2 - ] - - scaling = 1.0 - - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - sections[1] = points - - - # --------------- SECTION #2------------------------------------------------ - Ps = [ - [0.4, 0.4], - [0.0, 1.0], - [-0.4, 0.4], - [0, -0.05] - ] - - CPs = [ - [0.3, 1.0], - [-0.3, 1.0], - [-0.4, -0.08], - [0.4, -0.08], - ] - - rhos = [ - 0.7, - 0.7, - 0.5, - 0.5 - ] - - scaling = 2.0 - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - sections[2] = points; - - - # --------------- SECTION #3------------------------------------------------ - Ps = [ - [0.8, 1.0], - [0.0, 2.5], - [-0.8, 1.0], - [0, 0.2] - ] - - CPs = [ - [0.6, 2.5], - [-0.6, 2.5], - [-0.8, 0.2], - [0.8, 0.2], - ] - - rhos = [ - 0.7, - 0.7, - 0.5, - 0.5 - ] - - scaling = 1.0 - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - sections[3] = points; - - - # --------------- SECTION #4------------------------------------------------ - Ps = [ - [0.7, 2.0+0.25], - [0.0, 3.0+0.25], - [-0.7, 2.0+0.25], - [0, 1.2] - ] - - CPs = [ - [0.5, 3.0+0.25], - [-0.5, 3.0+0.25], - [-0.8, 1.2], - [0.8, 1.2], - ] - - rhos = [ - 0.7, - 0.7, - 0.5, - 0.5 - ] - - scaling = 1.0 - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - sections[4] = points; - - - # --------------- SECTION #5------------------------------------------------ - Ps = [ - [0.4, 2.75-0.2], - [0.0, 3.25-0.2], - [-0.4, 2.75-0.2], - [0, 1.7] - ] - - CPs = [ - [0.3, 3.25-0.2], - [-0.3, 3.25-0.2], - [-0.4, 1.7], - [0.4, 1.7], - ] - - rhos = [ - 0.4, - 0.4, - 0.5, - 0.5 - ] - - scaling = 1.0 - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - sections[5] = points; - - - # --------------- SECTION #6------------------------------------------------ - Ps = [ - [0.4-0.2, 3.25], - [0.0, 3.5-0.1], - [-0.4+0.2, 3.25], - [0, 2.5+0.5] - ] - - CPs = [ - [0.3-0.2, 3.5-0.1], - [-0.3+0.2, 3.5-0.1], - [-0.4, 2.5+0.5], - [0.4, 2.5+0.5], - ] - - rhos = [ - 0.4, - 0.4, - 0.3, - 0.3 - ] - - scaling = 1.0 - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - sections[6] = points; - - # --------------- SECTION #0------------------------------------------------ - Ps = [ - [0.5, 0.1+0.2], - [0.0, 1.0], - [-0.5, 0.1+0.2], - [0, -0.20+0.2] - ] - - CPs = [ - [0.4, 1.0], - [-0.4, 1.0], - [-0.1, -0.3+0.2], - [0.1, -0.3+0.2], - ] - - rhos = [ - 0.6, - 0.6, - 0.2, - 0.2 - ] - - scaling = 0.1 - - ss = [ - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)), - collect(range(0, 1, length=ncells)) - ] - points = vlm.vtk.conic_cross_section(Ps, CPs, rhos, ss) - points = scaling*points - - section0 = points - - - # --------------- LOFT ----------------------------------------------------- - # fuselage_length = 5.86 # (m) fuselage length - bscale = fuselage_length # Scales the entire geometry by this factor - - crosssections = [ # (l/bscale position , contour) - (0.0 , [[2.00*0.8, 0.25][k]*(point[k]) + [0, 0.3][k] for point in section0, k in 1:2]), - (0.02, [[0.6*0.8, 0.3][k]*(point[k]) + [0, 0.15][k] for point in sections[1], k in 1:2]), - (1/6*0.5, [[1.0*0.8, 0.75][k]*point[k] for point in sections[1], k in 1:2]), - # (1/6*0.5, [[0.75, 0.75][k]*point[k] for point in sections[1], k in 1:2]), - (2/6, [[1.00*0.8, 0.75][k]*point[k] for point in sections[2], k in 1:2]), - (3/6, [[1.00*0.8, 0.75][k]*(point[k] - [0, 0.1*2][k]) for point in sections[3], k in 1:2]), - (4/6, [[0.75, 0.75][k]*(point[k] - [0, 0.4*2][k]) for point in sections[4], k in 1:2]), - (5/6, [[0.75, 0.75][k]*(point[k] - [0, 0.6][k]) for point in sections[5], k in 1:2]), - (6/6, [[0.75, 0.75][k]*(point[k] - [0, 1.0][k]) for point in sections[6], k in 1:2]), - ] - - # Dummy parameters - b_pos = [sec[1] for sec in crosssections] - chords = (1/bscale)*ones(b_pos) - twists = zeros(size(b_pos)) - LE_x = zeros(size(b_pos)) - LE_z = zeros(size(b_pos)) - - tilt_y = zeros(size(b_pos)) - # tilt_y[2] = 45 - - grid_fuselage = vlm.vtk.generate_loft(crosssections, bscale, - b_pos, chords, twists, LE_x, LE_z; - # MORE GEOMETRIC OPTIONS - tilt_y=tilt_y, - symmetric=false, - loop_dim=0, - ) - - # Aligns the grid with the x-axis - rotation = vlm.vtk.rotation_matrix2(0, 0, 90) - vlm.vtk.lintransform!(grid_fuselage, rotation, zeros(3)) - - dimsplit = 1 - triangrid_fuselage = vlm.vtk.GridTriangleSurface(grid_fuselage, dimsplit) - - return triangrid_fuselage -end - - -""" - Generates ground surface. -""" -function generate_ground_vahana(bscale; verify_spline=false, spl_s=0.001, - spl_k="automatic", visualize=false) - - ## Ellipse - fx, fy = 1.7, 1.05 - lx = bscale*3.5 - ly = bscale*3 - cx = -lx*3/4 - cy = 0.0 - cz = -0.06*bscale - a, b = lx, ly - perimeter = [ a*b/sqrt((b*cos(tht))^2 + (a*sin(tht))^2 - ) * [fx*cos(tht), fy*sin(tht), 0] + [cx, cy, cz] for - tht in range(0, 2*pi, length=179)] - - # Fluid domain - NDIVSx = 50 # Cells in the parametric x-direction - NDIVSy = 50 # Cells in the parametric y-direction - NDIVSz = 0 # Cells in the geometric z-direction - - z_off = cz # z-offset for ground position - - if visualize - opt_args = [(:save_path, "temps/"), (:file_name, "vahanaground"), - (:paraview, true)] - else - opt_args = [] - end - - ground = generate_perimetergrid(perimeter, NDIVSx, NDIVSy, NDIVSz; - z_min=z_off, z_max=z_off, - verify_spline=verify_spline, spl_s=spl_s, - spl_k=spl_k, - opt_args... - ) - - return ground -end - - -# -------------- END OF VAHANA ------------------------------------------------- - - - - -################################################################################ -# UTILITIES -################################################################################ - -""" -`generate_perimetergrid(perimeter::Array{Array{T, 1}, 1}, - NDIVSx, NDIVSy, NDIVSz; - z_min::Real=0, z_max::Real=0, - # SPLINE OPTIONS - verify_spline::Bool=true, - spl_s=0.001, spl_k="automatic", - # FILE OPTIONS - save_path=nothing, file_name="perimeter", - paraview=true - )` - - Generates the perimeter grid with `perimeter` the array of points of the - contour (must be a closed contour), and `NDIVS_` the number of cells in - each parametric dimension (give it `NDIVSz=0` for a flat surface, otherwise - it'll generate a volumetric grid between `z_min` and `z_max`). -""" -function generate_perimetergrid(perimeter::Array{Array{T, 1}, 1}, - NDIVSx, NDIVSy, NDIVSz; - z_min::Real=0, z_max::Real=0, - # SPLINE OPTIONS - verify_spline::Bool=true, - spl_s=0.001, spl_k="automatic", - # FILE OPTIONS - save_path=nothing, file_name="perimeter", - paraview=true - ) where{T<:Real} - - # Error cases - multidiscrtype = Array{Tuple{Float64,Int64,Float64,Bool},1} - if typeof(NDIVSx)==Int64 - nz = NDIVSz - elseif typeof(NDIVSz)==multidiscrtype - nz = 0 - for sec in NDIVSz - nz += sec[2] - end - else - error("Expected `NDIVSz` to be type $(Int64) or $MultiDiscrType,"* - " got $(typeof(NDIVSz)).") - end - - # --------- REPARAMETERIZES THE PERIMETER --------------------------- - org_x = [p[1] for p in perimeter] - org_y = [p[2] for p in perimeter] - # Separate upper and lower sides to make the contour injective in x - upper, lower = gt.splitcontour(org_x, org_y) - - # # Parameterize both sides independently - # fun_upper = gt.parameterize(upper[1], upper[2], zeros(upper[1]); inj_var=1, - # s=spl_s, kspl=spl_k) - # fun_lower = gt.parameterize(lower[1], lower[2], zeros(lower[1]); inj_var=1, - # s=spl_s, kspl=spl_k) - # # Discretizes both sides - # if NDIVSx==multidiscrtype - # new_upper = gt.multidiscretize(fun_upper, 0, 1, NDIVSx) - # new_lower = gt.multidiscretize(fun_lower, 0, 1, NDIVSx) - # else - # new_upper = gt.discretize(fun_upper, 0, 1, NDIVSx, 1.0) - # new_lower = gt.discretize(fun_lower, 0, 1, NDIVSx, 1.0) - # end - - splt_up = Int(ceil((size(upper[1],1)/2))) - splt_low = Int(ceil((size(lower[1],1)/2))) - - # Splits the perimeter into four faces - upper1 = [[x for x in upper[1][1:splt_up]], [y for y in upper[2][1:splt_up]]] - upper2 = [[x for x in upper[1][splt_up:end]], [y for y in upper[2][splt_up:end]]] - lower1 = [[x for x in lower[1][1:splt_low]], [y for y in lower[2][1:splt_low]]] - lower2 = [[x for x in lower[1][splt_low:end]], [y for y in lower[2][splt_low:end]]] - - # Parameterize both sides independently - fun_upper1 = gt.parameterize(upper1[1], upper1[2], zeros(size(upper1[1])); inj_var=1, - s=spl_s, kspl=spl_k) - fun_upper2 = gt.parameterize(upper2[1], upper2[2], zeros(size(upper2[1])); inj_var=1, - s=spl_s, kspl=spl_k) - fun_lower1 = gt.parameterize(lower1[1], lower1[2], zeros(size(lower1[1])); inj_var=1, - s=spl_s, kspl=spl_k) - fun_lower2 = gt.parameterize(lower2[1], lower2[2], zeros(size(lower2[1])); inj_var=1, - s=spl_s, kspl=spl_k) - # Discretizes both sides - if NDIVSx==multidiscrtype - new_upper1 = gt.multidiscretize(fun_upper1, 0, 1, NDIVSx) - new_upper2 = gt.multidiscretize(fun_upper2, 0, 1, NDIVSy) - new_lower1 = gt.multidiscretize(fun_lower1, 0, 1, NDIVSy) - new_lower2 = gt.multidiscretize(fun_lower2, 0, 1, NDIVSx) - else - new_upper1 = gt.discretize(fun_upper1, 0, 1, NDIVSx, 1.0) - new_upper2 = gt.discretize(fun_upper2, 0, 1, NDIVSy, 1.0) - new_lower1 = gt.discretize(fun_lower1, 0, 1, NDIVSy, 1.0) - new_lower2 = gt.discretize(fun_lower2, 0, 1, NDIVSx, 1.0) - end - - # ----------------- SPLINE VERIFICATION -------------------------------------- - - if verify_spline - # new_points = vcat(reverse(new_upper), new_lower) - # new_x = [p[1] for p in new_points] - # new_y = [p[2] for p in new_points] - plt.plot(org_x, org_y, "--^k", label="Original", alpha=0.5) - # plt.plot(new_x, new_y, ":.b", label="Parameterized") - - plt.plot(upper1[1], upper1[2], "*b", label="upper1", alpha=0.75) - plt.plot(upper2[1], upper2[2], "^b", label="upper2", alpha=0.75) - plt.plot(lower1[1], lower1[2], "*r", label="lower1", alpha=0.75) - plt.plot(lower2[1], lower2[2], "^r", label="lower2", alpha=0.75) - - new_points = vcat(new_upper1, new_upper2) - new_x = [p[1] for p in new_points] - new_y = [p[2] for p in new_points] - plt.plot(new_x, new_y, ":.b", label="Parameterized Upper", alpha=0.75) - new_points = vcat(new_lower1, new_lower2) - new_x = [p[1] for p in new_points] - new_y = [p[2] for p in new_points] - plt.plot(new_x, new_y, ":.r", label="Parameterized Lower", alpha=0.75) - # plt.xlabel(plt.L"x") - # plt.ylabel(plt.L"y") - plt.legend(loc="best") - plt.grid(true, color="0.8", linestyle="--") - end - - - # --------- GRIDS THE INSIDE OF THE PERIMETER --------------------- - # Parametric grid - P_min = zeros(3) - P_max = [1, 1, 1*(nz!=0)] - param_grid = gt.Grid(P_min, P_max, [NDIVSx, NDIVSy, NDIVSz]) - - # function my_space_transform(X, ind) - # i = ind[1] # Arc length point - # w = X[2] # Weight - # z = z_min + X[3]*(z_max-z_min) # z-position - # - # Y = new_lower[i] + w*(new_upper[i]-new_lower[i]) - # Y[3] = z - # - # return Y - # end - - rev_new_upper1 = reverse(new_upper1) # Left edge - rev_new_upper2 = reverse(new_upper2) # Upper edge - rev_new_lower1 = reverse(new_lower1) # Lower edge - rev_new_lower2 = reverse(new_lower2) # Right edge - - function my_space_transform(X, ind) - beta = 1e-2*pi/2 # Warping parameter - - z = z_min + X[3]*(z_max-z_min) # z-position - - xw = X[2] # x weight - yw = X[1] # y weight - - # Linearly interpolate the edges - x = new_upper1[ind[1]]*xw + new_lower2[ind[1]]*(1-xw) # Left-right edges - y = rev_new_upper2[ind[2]]*yw + rev_new_lower1[ind[2]]*(1-yw) # Upper-lower edges - # Y = x + y - - # A clever way of merging the two interpolations - # First weight - yw = abs(X[1]-0.5)/0.5 - yw = tan(yw*pi/2 - beta)/tan(pi/2 - beta) - # Second weight - xw = abs(X[2]-0.5)/0.5 - xw = tan(xw*pi/2 - beta)/tan(pi/2 - beta) - # Merged weight - w = ( (1-xw) + yw ) /2 - # Merged point - Y = x*(1-w) + y*w - - Y[3] = z - - return Y - end - - # Applies the space transformation to the parametric grid - gt.transform3!(param_grid, my_space_transform) - - if save_path!=nothing - gt.save(param_grid, file_name; path=save_path) - - if paraview - strn = file_name*".vtk" - run(`paraview --data=$save_path/$strn`) - end - - end - - return param_grid::gt.Grid -end -# -------------- END OF COMMONS ------------------------------------------------ diff --git a/examples/DEPRECATED/vahana/vahana_kinematics.jl b/examples/DEPRECATED/vahana/vahana_kinematics.jl deleted file mode 100644 index cbe33a35..00000000 --- a/examples/DEPRECATED/vahana/vahana_kinematics.jl +++ /dev/null @@ -1,368 +0,0 @@ -#=############################################################################## -# DESCRIPTION - Vahana vehicle kinematic maneuver definition. - -# AUTHORSHIP - * Author : Eduardo J. Alvarez - * Email : Edo.AlvarezR@gmail.com - * Created : Oct 2019 - * License : MIT -=############################################################################### - - -function generate_maneuver_vahana1(; disp_plot=false, add_rotors=true, V0=0.0001) - - # NOTE: All of the following number are non-dimensional and scaled between - # 0 and 1, with 0 and 1 beginning and end of simulation, or a scaling - # parameter - - # End time of each stage - # Stage 1: [0, t1] -> Take off - # Stage 2: [t1, t2] -> Transition - # Stage 3: [t2, t3] -> Cruise - # Stage 4: [t3, t4] -> Transition - # Stage 5: [t4, 1] -> Landing - t1, t2, t3, t4 = 0.2, 0.3, 0.5, 0.6 - - # Target velocity at each stage (ratio of cruise velocity) - V1 = 0.25 - V2 = 0.10 - V3 = 1.00 - V4 = V2 - V5 = 0.5*V1 - - # Target RPM at each stage (ratio of hover RPM) - RPM1 = 1.10 - RPM2 = 1.50 - RPM3 = 0.75 - RPM4 = 1.00 - RPM5 = 0.90 - - r_RPMh_tw = 0.75 # Ratio between tandem and main wing RPM in hover - - # NOTE: -x is in the direction of flight and +z is climb with ground at z=0 - - - - - ############################################################################ - # AIRCRAFT VELOCITY - ############################################################################ - """ - Receives a nondimensional time between 0 and 1, and returns the - vector of velocity of the aircraft at that instant. - """ - function Vaircraft(t) - - # ------------ TAKE OFF ------------------------------------------------ - if txcruise transition) -tstart = 0.25*ttot # (s) start the simulation at this point in time -tquit = 0.35*ttot # (s) end the simulation at this point in time +tstart = 0.00*ttot # (s) start simulation at this point in time +tquit = 1.00*ttot # (s) end simulation at this point in time start_kinmaneuver = true # If true, it starts the maneuver with the # velocity and angles of tstart. @@ -67,7 +91,7 @@ VehicleType = uns.UVLMVehicle # Unsteady solver # VehicleType = uns.QVLMVehicle # Quasi-steady solver # Time parameters -nsteps = 2*4*5400 # Time steps for entire maneuver +nsteps = 4*5400 # Time steps for entire maneuver dt = ttot/nsteps # (s) time step # VPM particle shedding @@ -80,26 +104,26 @@ unsteady_shedcrit = 0.001 # Shed unsteady loading whenever cir # Regularization of embedded vorticity sigma_vlm_surf = b/400 # VLM-on-VPM smoothing radius sigma_rotor_surf= R/20 # Rotor-on-VPM smoothing radius -lambda_vpm = 1.2*2.125 # VPM core overlap +lambda_vpm = 2.125 # VPM core overlap # VPM smoothing radius -sigma_vpm_overwrite = lambda_vpm * (2*pi*RPMh_w/60*R + Vcruise)*dt / p_per_step -sigmafactor_vpmonvlm= 1 # Shrink particles by this factor when +sigma_vpm_overwrite = lambda_vpm * (2*pi*RPMh_w/60*R + Vcruise)*dt / p_per_step +sigmafactor_vpmonvlm = 1 # Shrink particles by this factor when # calculating VPM-on-VLM/Rotor induced velocities -vlm_vortexsheet = true # Whether to spread the wing circulation as a vortex sheet -vlm_vortexsheet_overlap = 2.125 # Overlap of the particles that make the vortex sheet -vlm_vortexsheet_distribution = uns.g_pressure # Distribution of the vortex sheet +# Rotor solver +vlm_rlx = 0.2 # VLM relaxation <-- this also applied to rotors +hubtiploss_correction = vlm.hubtiploss_correction_prandtl # Hub and tip correction + +# Wing solver: actuator surface model (ASM) +vlm_vortexsheet = false # Whether to spread the wing surface vorticity as a vortex sheet (activates ASM) +vlm_vortexsheet_overlap = 2.125 # Overlap of the particles that make the vortex sheet +vlm_vortexsheet_distribution= uns.g_pressure# Distribution of the vortex sheet # vlm_vortexsheet_sigma_tbv = thickness*chord / 100 # Size of particles in trailing bound vortices -vlm_vortexsheet_sigma_tbv = sigma_vpm_overwrite +vlm_vortexsheet_sigma_tbv = sigma_vpm_overwrite # How many particles to preallocate for the vortex sheet vlm_vortexsheet_maxstaticparticle = vlm_vortexsheet==false ? nothing : 6000000 -# Rotor solver -vlm_rlx = 0.2 # VLM relaxation <-- this also applied to rotors -hubtiploss_correction = vlm.hubtiploss_correction_prandtl # Hub and tip correction - - -# Wing solver +# Wing solver: force calculation KJforce_type = "regular" # KJ force evaluated at middle of bound vortices_vortexsheet also true) include_trailingboundvortex = false # Include trailing bound vortices in force calculations @@ -113,14 +137,14 @@ wing_polar_file = "xf-n0012-il-500000-n5.csv" # Airfoil polar for # VPM solver -vpm_integration = vpm.rungekutta3 # VPM temporal integration scheme -# vpm_integration = vpm.euler +# vpm_integration = vpm.rungekutta3 # VPM temporal integration scheme +vpm_integration = vpm.euler vpm_viscous = vpm.Inviscid() # VPM viscous diffusion scheme # vpm_viscous = vpm.CoreSpreading(-1, -1, vpm.zeta_fmm; beta=100.0, itmax=20, tol=1e-1) -# vpm_SFS = vpm.SFS_none # VPM LES subfilter-scale model -vpm_SFS = vpm.DynamicSFS(vpm.Estr_fmm, vpm.pseudo3level_positive; +# vpm_SFS = vpm.SFS_none # VPM LES subfilter-scale model +vpm_SFS = vpm.DynamicSFS(vpm.Estr_fmm, vpm.pseudo3level_positive; alpha=0.999, maxC=1.0, clippings=[vpm.clipping_backscatter], controls=[vpm.control_directional, vpm.control_magnitude]) @@ -169,9 +193,9 @@ simulation = uns.Simulation(vehicle, maneuver, Vref, RPMref, ttot; Vinit=Vinit, Winit=Winit, t=tstart); # Maximum number of particles (for pre-allocating memory) -max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.vlm_system)+1)*p_per_step) +max_particles = ceil(Int, (nsteps+2)*(2*vlm.get_m(vehicle.wake_system)*(p_per_step+1) + p_per_step) ) max_particles = tquit != Inf ? ceil(Int, max_particles*(tquit-tstart)/ttot) : max_particles -max_particles = min(30000000, max_particles) +max_particles = min(10000000, max_particles) max_particles = VehicleType==uns.QVLMVehicle ? 10000 : max_particles diff --git a/examples/vahana/vahana_monitor.jl b/examples/vahana/vahana_monitor.jl index c6289d43..ecfdb620 100644 --- a/examples/vahana/vahana_monitor.jl +++ b/examples/vahana/vahana_monitor.jl @@ -83,7 +83,8 @@ function generate_monitor_vahana(vehicle, rho, RPMref, nsteps, save_path, Vinf; nsteps; save_path=save_path, run_name=monitor_name, - figname=monitor_name) + figname=monitor_name, + save_init_plots=false) push!(monitors, rotors_monitor) end diff --git a/examples/vahana/vahana_vehicle.jl b/examples/vahana/vahana_vehicle.jl index c7419301..a66b73c4 100644 --- a/examples/vahana/vahana_vehicle.jl +++ b/examples/vahana/vahana_vehicle.jl @@ -546,15 +546,15 @@ function generate_vahana_vehicle(; # System solved through VLM solver vlm_system_m = vlm.WingSystem() + vlm.addwing(vlm_system_m, "letL", winglet_L) + vlm.addwing(vlm_system_m, "L", wing_L) vlm.addwing(vlm_system_m, "middle", wing_md) vlm.addwing(vlm_system_m, "R", wing_R) vlm.addwing(vlm_system_m, "letR", winglet_R) - vlm.addwing(vlm_system_m, "L", wing_L) - vlm.addwing(vlm_system_m, "letL", winglet_L) vlm_system_t = vlm.WingSystem() - vlm.addwing(vlm_system_t, "R", twing_R) vlm.addwing(vlm_system_t, "L", twing_L) + vlm.addwing(vlm_system_t, "R", twing_R) vlm_system = vlm.WingSystem() if add_wings From 92a12fe9e237d98529ddcc632738e801921542bf Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Thu, 6 Apr 2023 23:47:17 -0500 Subject: [PATCH 3/7] Add Google Analytics ID --- README.md | 6 +----- docs/make.jl | 2 +- docs/src/index.md | 6 +----- 3 files changed, 3 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index f4401685..7519ea71 100644 --- a/README.md +++ b/README.md @@ -188,7 +188,7 @@ See the following publications for an in-depth dive into the theory and validati

-**eVTOL Transition:** [Tutorial] [[Video 1](https://www.youtube.com/watch?v=-6aR37Z6hig)] [[Video 2](https://www.youtube.com/watch?v=d__wNtRIBY8)] +**eVTOL Transition:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/vahana-vehicle/)] Mid-fidelity

youtube.com/watch?v=d__wNtRIBY8

@@ -245,8 +245,4 @@ If the issue still persists, please * [ ] Add a validations section compiling all validation studies * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows -* [ ] Examples - * [ ] Vahana - * [ ] Bring fidelity down, list parameters for high fidelity - * [ ] Post processing: fluid domain? * [ ] Add analytics diff --git a/docs/make.jl b/docs/make.jl index 6a23beb5..a09d518e 100644 --- a/docs/make.jl +++ b/docs/make.jl @@ -16,7 +16,7 @@ include("src/generate_examples.jl") makedocs( sitename = "FLOWUnsteady", - format = Documenter.HTML(; + format = Documenter.HTML(; analytics = "G-B7CBF7WC7L", sidebar_sitename = false, assets = ["assets/favicon.ico"], collapselevel = 1 diff --git a/docs/src/index.md b/docs/src/index.md index 8f988cc6..4b7a7ca0 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -239,7 +239,7 @@ See the following publications for an in-depth dive into the theory and validati ``` -**eVTOL Transition:** [Tutorial] [[Video 1](https://www.youtube.com/watch?v=-6aR37Z6hig)] [[Video 2](https://www.youtube.com/watch?v=d__wNtRIBY8)] +**eVTOL Transition:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/vahana-vehicle/)] Mid-fidelity ```@raw html @@ -327,8 +327,4 @@ If the issue still persists, please * [ ] Add a validations section compiling all validation studies * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows -* [ ] Examples - * [ ] Vahana - * [ ] Bring fidelity down, list parameters for high fidelity - * [ ] Post processing: fluid domain? * [ ] Add analytics From e9b6300801ba602c3947287cbac8993b25642863 Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Fri, 7 Apr 2023 02:38:49 -0500 Subject: [PATCH 4/7] Finish validation page --- README.md | 1 - docs/src/index.md | 1 - docs/src/theory/validation.md | 320 +++++++++++++++++++++++++++++++++- 3 files changed, 311 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 7519ea71..54cd8027 100644 --- a/README.md +++ b/README.md @@ -245,4 +245,3 @@ If the issue still persists, please * [ ] Add a validations section compiling all validation studies * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows -* [ ] Add analytics diff --git a/docs/src/index.md b/docs/src/index.md index 4b7a7ca0..6da0240d 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -327,4 +327,3 @@ If the issue still persists, please * [ ] Add a validations section compiling all validation studies * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows -* [ ] Add analytics diff --git a/docs/src/theory/validation.md b/docs/src/theory/validation.md index 28cf54ab..aed0924f 100644 --- a/docs/src/theory/validation.md +++ b/docs/src/theory/validation.md @@ -41,17 +41,107 @@ using FLOWUnsteady. ```@raw html
- Pic here + Pic here
``` ## Rotor -#### Hover Case -DJI aero from rVPM paper. DJI acoustics from VFS paper. +#### Hover Case: Aero + +*Source: E. J. Alvarez, 2022*[^1]*, and E. J. Alvarez and A. Ning, 2022*[^6] + +```@raw html +
+ Pic here +
+``` + +> **Case:** DJI 9443 rotor in hover at 5400 RPM. This is a two-bladed rotor +> with a diameter of 9.4 inches. Validation case at Mach number of 0.2, +> $\mathrm{Re}_c = 6 \times 10^4$, and $\mathrm{Re}_{0.7D} = 7 \times 10^5$. +> Thrust and blade loading are compared to experiment and mesh-based CFD. +> Computational time is benchmarked against conventional mesh-based CFD. + + +> **Results:** (Excerpt from E. J. Alvarez and A. Ning, 2020[^6]) +> *"...the VPM simulation shows excellent agreement with the experiment, +> predicting a mean $C_T$ value within 2% of the experimental mean value... +> Our meshless LES appears to be two orders of magnitude faster than a +> mesh-based LES with similar fidelity, while being one order of magnitude +> faster than a low-fidelity URANS simulation and three orders of magnitude +> than high-fidelity DES."* + +```@raw html + +
+ Pic here + Pic here +

+ Pic here +
+ +
+``` + + +#### Hover Case: Acoustics + +*Source: E. J. Alvarez, A. Schenk, T. Critchfield, and A. Ning, 2020*[^7] + +> **Case:** Same DJI 9443 case in hover. FLOWUnsteady predictions (VPM) are +> compared against experiment and URANS (STAR-CCM+) and DES (OVERFLOW2). + +```@raw html + +
+ Pic here +

+ Pic here +
+ +
+``` +NOTE: The broadband results in E. J. Alvarez, A. Schenk, T. Critchfield, and +A. Ning, 2020[^7] contained a bug that ended up evaluating the microphone array +in the wrong plane, which led to a large discrepancy in A-weighted +OASPL. For updated results, see the [Rotor in Hover tutorial](@ref rotorhovernoise). #### Forward Flight Case -Rachael's AVIATION paper. + +*Source: R. M. Erhard and J. J. Alonso, 2022*[^8] + +```@raw html +
+ Pic here +
+``` + +> **Case:** TUD F29 rotor in forward flight at an incidence angle (edgewise +> flow). This is a four-bladed rotor. Thrust and power predicted by FLOWUnsteady +> (VPM) was compared to experiment and low-fidelity methods at multiple +> incidence angles $\alpha$ and advance ratios $J$. + +> **Results:** Good agreement between FLOWUnsteady and experiment for incidence +> angles up to $\alpha=60^\circ$ across advance ratio. + +```@raw html + +
+ Pic here +
+ +
+``` ## Wind Turbine @@ -67,7 +157,7 @@ Rachael's AVIATION paper. > tip speed ratio $\lambda = \frac{\omega R}{u_\infty}$. -> **Results:** (Excerpt from E. J. Alvarez and A. Ning, 2020[^3]) +> **Results:** (Excerpt from J. Mehr, E. J. Alvarez, and A. Ning, 2020[^5]) > *"The torque coefficient outputs are also within 10% for tip speed ratios > above, and within 25% for tip speed ratios under, $\lambda = 2.0$; > also notice that the absolute magnitudes of the torque coefficient are very @@ -116,15 +206,211 @@ Rachael's AVIATION paper. #### Beaver Case -Beaver J sweep. Beaver incidence angle sweep. Propeller wake. +*Source: E. J. Alvarez*[^3]*and E. J. Alvarez and A. Ning, 2020*[^9] + +```@raw html +
+ Vid here +
+``` + +> **Case:** Beaver propeller (4 blades, 0.237 m diameter) at +> $\mathrm{Re}_{0.7D} = 1.8\times 10^6$. +> Extensive validation with predicted thrust, torque, efficiency, blade loading, and +> flow field compared to experimental measurements. + +```@raw html + +
+ Sweep of advance ratio
+ Pic here + +
+ Sweep of incidence angle
+ Pic here + +

+ Blade loading
+ Pic here + +
+ Wake structure
+ Pic here + +

+ Flow field
+ Pic here +
+ Pic here + +
+ Vid here + Vid here +
+ +
+``` + ## Rotor-Rotor Interactions +#### Side-by-Side Rotors in Hover +*Source: E. J. Alvarez and A. Ning, 2020*[^3] + +```@raw html +
+ Pic here +
+``` + +> **Case:** Two side-by-side DJI rotors in hover. Two-bladed rotors with a +> diameter of 9.4 inches. Test at 4860 RPM, tip Mach number of 0.18, +> $\mathrm{Re}_c = 6.2\times 10^4$, and $\mathrm{Re}_{0.7D} = 6.5\times 10^5$. +> Aerodynamic interactions as the tip-to-tip spacing $s$ between rotors is +> decreased. + +> **Results:** FLOWUnsteady accurately captures both the drop in thrust and +> the increase in fluctuations as rotors are brought closer together. + +```@raw html + +
+ Pic here +
+ +
+``` + +#### Side-by-Side and Tandem Propeller +*Source: R. M. Erhard and J. J. Alonso, 2022*[^8] + +```@raw html +
+ Pic here +
+``` + +> **Case:** Two TUD F29 propellers in side-by-side and tandem configurations at +> an multile incidence angles (edgewise flow). This is a four-bladed rotor. Thrust and power predicted by FLOWUnsteady +> (VPM) was compared to experiment and low-fidelity methods at multiple +> incidence angles $\alpha$ and advance ratios $J$. + +> **Results:** Good agreement between FLOWUnsteady and experiment for incidence +> angles up to $\alpha=60^\circ$ across advance ratio. + +```@raw html + +
+ Pic here + Pic here + Pic here + Pic here +
+ +
+``` + ## Rotor-Wing Interactions -#### Horizontal-Stabilizer w/ Tip-Mounted Propellers +#### Tailplane w/ Tip-Mounted Propellers +*Source: E. J. Alvarez*[^3]*and E. J. Alvarez and A. Ning, 2020*[^9] + +```@raw html +
+ Pic here +
+``` + +> **Case:** Horizontal stabilizer (tailplane) with tip-mounted Beaver propellers. +> Wing with low aspect ratio ($b/c=2.7$), symmetric NACA $64_2-\mathrm{A}015$ +> profile, and elevator flap. Test at advance ratio $J$ of 0.8 and inboard-up propeller +> rotation at a thrust setting of $C_T = 0.0935$. +> Flap deflection captured in the actuator surface model (ASM) through an +> equivalent twist. +> Effects of wake impingement on wing loading predicted by FLOWUnsteady are +> compared to experiment. + +```@raw html + +
+ Flat wing ($\alpha = 0^\circ$, $\delta_e=0^\circ$)
+ Pic here + +


+ Lift augmentation
+ Pic here + Pic here + +


+ Wing wake and Streamtube
+ Pic here + Pic here + +


+ Effects of swirl direction
+ Pic here + +


+ Strong impingement
+ Pic here +
+ +
+``` #### Blown Wing +*Source: E. J. Alvarez*[^3]*and E. J. Alvarez and A. Ning, 2020*[^9] + +```@raw html +
+ Pic here +
+``` + +> **Case:** Straight wing with Beaver propellers mounted mid-span. +> Wing of aspect ratio $b/c=5.33$, symmetric NACA $64_2-\mathrm{A}015$ +> profile. Test at advance ratio $J$ of 0.85 and inboard-up propeller +> rotation at a thrust setting of $C_T = 0.121$. +> Effects of wake impingement on wing loading predicted by FLOWUnsteady are +> compared to experiment. + +```@raw html +
+ Pic here + Pic here +
+ +
+``` + + + [^1]: E. J. Alvarez (2022), "Reformulated Vortex Particle Method and Meshless Large Eddy Simulation of Multirotor Aircraft," *Doctoral Dissertation, Brigham @@ -139,6 +425,22 @@ Beaver J sweep. Beaver incidence angle sweep. Propeller wake. [**[DOI]**](https://doi.org/10.2514/1.J059178) [**[PDF]**](https://scholarsarchive.byu.edu/facpub/4179/) - [^5]: J. Mehr, E. J. Alvarez, & A. Ning (2022), "Interactional Aerodynamics - Analysis of a Multi-Rotor Energy Kite," (in review). + Analysis of a Multi-Rotor Energy Kite," *(in review)*. + +[^6]: E. J. Alvarez & A. Ning (2022), "Reviving the Vortex Particle Method: A + Stable Formulation for Meshless Large Eddy Simulation," *(in review)*. + [**[PDF]**](https://arxiv.org/pdf/2206.03658.pdf) + +[^7]: E. J. Alvarez, A. Schenk, T. Critchfield, and A. Ning (2020), “Rotor-on-Rotor + Aeroacoustic Interactions of Multirotor in Hover,” *VFS 76th Forum*. + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/4053/) + +[^8]: R. M. Erhard and J. J. Alonso (2022), "Comparison of Propeller Wake Models + for Distributed Electric Propulsion and eVTOL Aircraft in Complex Flow + Conditions," *AIAA SciTech Forum*. + [**[PDF]**](https://www.researchgate.net/publication/357565378_A_Comparison_of_Propeller_Wake_Models_for_Distributed_Electric_Propulsion_and_eVTOL_Aircraft_in_Complex_Flow_Conditions) + +[^9]: E. J. Alvarez & A. Ning (2022), "Meshless Large Eddy Simulation of + Rotor-Wing Interactions with Reformulated Vortex Particle Method," + *(in review)*. From 652e29ade0037dde3d5ca14e19b6663517cf63a4 Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Fri, 7 Apr 2023 04:16:14 -0500 Subject: [PATCH 5/7] Finish pages on convergence and validation studies --- README.md | 13 ++-- docs/src/index.md | 13 ++-- docs/src/theory/convergence.md | 122 +++++++++++++++++++++++++++++++-- docs/src/theory/validation.md | 6 +- docs/src/visualization.md | 2 +- 5 files changed, 131 insertions(+), 25 deletions(-) diff --git a/README.md b/README.md index 54cd8027..88d7777c 100644 --- a/README.md +++ b/README.md @@ -163,17 +163,17 @@ See the following publications for an in-depth dive into the theory and validati ### Examples -**Propeller:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/propeller-J040)] [Validation] +**Propeller:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/propeller-J040)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Propeller)]

youtube.com/watch?v=lUIytQybCpQ

-**Rotor in Hover:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-aero)] [Validation] +**Rotor in Hover:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-aero)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Rotor)]

youtube.com/watch?v=u9SgYbYhPpU

-**Blown Wing:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/blownwing-aero)] [Validation] +**Blown Wing:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/blownwing-aero)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Rotor-Wing-Interactions)]

img @@ -181,7 +181,7 @@ See the following publications for an in-depth dive into the theory and validati


-**Airborne-Wind-Energy Aircraft:** [Validation] [[Video](https://www.youtube.com/watch?v=iFM3B4_N2Ls)] +**Airborne-Wind-Energy Aircraft:** [[Video](https://www.youtube.com/watch?v=iFM3B4_N2Ls)]

img @@ -197,7 +197,7 @@ High-fidelity

youtube.com/watch?v=-6aR37Z6hig

-**Aeroacoustic Noise:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-acoustics)] [Validation] +**Aeroacoustic Noise:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-acoustics)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Rotor)]

Vid @@ -239,9 +239,6 @@ If the issue still persists, please * License : MIT License **TODO** -* [ ] README - * [ ] Add links to examples in README * [ ] Theory - * [ ] Add a validations section compiling all validation studies * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows diff --git a/docs/src/index.md b/docs/src/index.md index 6da0240d..f39081e4 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -190,7 +190,7 @@ See the following publications for an in-depth dive into the theory and validati ### Examples -**Propeller:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/propeller-J040)] [Validation] +**Propeller:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/propeller-J040)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Propeller)] ```@raw html

@@ -204,7 +204,7 @@ See the following publications for an in-depth dive into the theory and validati -**Rotor in Hover:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-aero)] [Validation] +**Rotor in Hover:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-aero)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Rotor)] ```@raw html
@@ -218,7 +218,7 @@ See the following publications for an in-depth dive into the theory and validati -**Blown Wing:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/blownwing-aero)] [Validation] +**Blown Wing:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/blownwing-aero)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Rotor-Wing-Interactions)] ```@raw html

@@ -230,7 +230,7 @@ See the following publications for an in-depth dive into the theory and validati


``` -**Airborne-Wind-Energy Aircraft:** [Validation] [[Video](https://www.youtube.com/watch?v=iFM3B4_N2Ls)] +**Airborne-Wind-Energy Aircraft:** [[Video](https://www.youtube.com/watch?v=iFM3B4_N2Ls)] ```@raw html

@@ -266,7 +266,7 @@ High-fidelity -**Aeroacoustic Noise:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-acoustics)] [Validation] +**Aeroacoustic Noise:** [[Tutorial](https://flow.byu.edu/FLOWUnsteady/examples/rotorhover-acoustics)] [[Validation](https://flow.byu.edu/FLOWUnsteady/theory/validation/#Rotor)] ```@raw html

@@ -321,9 +321,6 @@ If the issue still persists, please * License : MIT License **TODO** -* [ ] README - * [ ] Add links to examples in README * [ ] Theory - * [ ] Add a validations section compiling all validation studies * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows diff --git a/docs/src/theory/convergence.md b/docs/src/theory/convergence.md index d332bd78..025c933b 100644 --- a/docs/src/theory/convergence.md +++ b/docs/src/theory/convergence.md @@ -112,9 +112,6 @@ using FLOWUnsteady.
``` -#### Beaver Propeller Case -Beaver convergence. - #### Wind Turbine Case *Source: J. Mehr, E. J. Alvarez, and A. Ning, 2022*[^4] @@ -144,12 +141,123 @@ Beaver convergence.
``` +#### Beaver Propeller Case +*Source: E. J. Alvarez, 2022*[^1]*, and E. J. Alvarez and A. Ning, 2022*[^3] +```@raw html +

+ Pic here +
+``` + +> **Case:** Beaver propeller at an advance ratio of 0.8, tip Mach number of +> 0.46, and $\mathrm{Re}_{0.7D} = 1.8 \times 10^6$. +> Convergence of thrust, torque, and blade loading w.r.t. the following parameters: +> * ``N_\mathrm{sheds}``, number of particle sheds per revolution. +> * ``n``, number of blade elements per blade. +> Constant parameters: ``N_\mathrm{steps}=72`` and +> ``\lambda=\frac{\sigma}{\Delta x} = \frac{\sigma N_\mathrm{sheds}}{2\pi R} = 2.125``, +> which leads to a decreasing $\sigma$ as ``N_\mathrm{sheds}``increases. + +```@raw html + +
+ Pic here + Pic here + Pic here +
+ +
+``` + ## Rotor Wake -Beaver wake convergence. +*Source: E. J. Alvarez, 2022*[^1]*, and E. J. Alvarez and A. Ning, 2022*[^3] + +> **Case:** Continuation of Beaver propeller convergence study. Wake structure +> and flow field compared to experimental PIV measurements. + +> **Takeaways:** +> Even though the aerodynamic performance of the rotor (thrust, torque, and +> blade loading) is sufficiently converged with ``N_\mathrm{sheds}=144`` and +> ``n=50``, higher refinement might be needed in order to properly time-resolve +> the vortical structure downstream of the rotor (which might be important +> when the rotor wake impinges on another surface). +> However, ``N_\mathrm{sheds}=144`` and ``n=50`` is sufficient to capture +> the time-average velocity in the wake. +> This study shows that tip vortices and the inner vortex sheet can be resolved +> with as much granularity as desired by going to finer discretizations. + +```@raw html + +
+ Pic here +

+ Pic here +

+ Pic here + +
+ Vid here + Vid here +
+ +
+``` ## Immersed Vorticity -1/100 $\sigma$ rule. +> We have noticed that in cases with strong wake interactions (*e.g.,* a rotor +> wake impinging on a wing surface), the size of the particles used to immerse +> the surface vorticity can change the effects of the interaction. +> However, over the years we have discovered a heuristic that seems to converge +> to the right solution, independent of the nature of the problem: **the size of** +> **the embedded particles needs to be about two orders of magnitude smaller than +> the relevant length scale.** +> +> In FLOWUnsteady, there are three different core sizes related to the immersed +> vorticity: +> * ``\sigma_\mathrm{rotor}``, smoothing radius +> of the rotor bound vorticity (`sigma_rotor_surf`) +> * ``\sigma_\mathrm{LBV}``, smoothing radius +> of the lifting bound vorticity of wings (`sigma_vlm_surf`) +> * ``\sigma_\mathrm{TBV}``, smoothing radius +> of the trailing bound vorticity of wings (`vlm_vortexsheet_sigma_tbv`) +> Accordingly, whenever possible, we recommend choosing $\sigma$-values close +> to +> * ``\sigma_\mathrm{rotor} \approx 0.01D``, where $D$ is the rotor diameter +> * ``\sigma_\mathrm{LBV} \approx 0.01b``, where $b$ is the wing span +> * ``\sigma_\mathrm{TBV} \approx 0.01t``, where $t$ is the thickness of the wing +> +> The following is an excerpt from E. J. Alvarez, 2022,[^1] Sec. 8.3., +> confirming the validity of the "``\sigma \approx 0.01\ell``" heuristic: + +```@raw html + +
+ Pic here + Pic here + Pic here +
+ Pic here + Pic here + Pic here +
+ +
+``` @@ -166,5 +274,9 @@ Beaver wake convergence. [**[DOI]**](https://doi.org/10.2514/1.J059178) [**[PDF]**](https://scholarsarchive.byu.edu/facpub/4179/) +[^3]: E. J. Alvarez & A. Ning (2022), "Meshless Large Eddy Simulation of + Rotor-Wing Interactions with Reformulated Vortex Particle Method," + *(in review)*. + [^4]: J. Mehr, E. J. Alvarez, & A. Ning (2022), "Interactional Aerodynamics Analysis of a Multi-Rotor Energy Kite," (in review). diff --git a/docs/src/theory/validation.md b/docs/src/theory/validation.md index aed0924f..66b7df28 100644 --- a/docs/src/theory/validation.md +++ b/docs/src/theory/validation.md @@ -206,7 +206,7 @@ OASPL. For updated results, see the [Rotor in Hover tutorial](@ref rotorhovernoi #### Beaver Case -*Source: E. J. Alvarez*[^3]*and E. J. Alvarez and A. Ning, 2020*[^9] +*Source: E. J. Alvarez, 2022*[^1]*, and E. J. Alvarez and A. Ning, 2022*[^9] ```@raw html
@@ -328,7 +328,7 @@ OASPL. For updated results, see the [Rotor in Hover tutorial](@ref rotorhovernoi ## Rotor-Wing Interactions #### Tailplane w/ Tip-Mounted Propellers -*Source: E. J. Alvarez*[^3]*and E. J. Alvarez and A. Ning, 2020*[^9] +*Source: E. J. Alvarez, 2022*[^1]*, and E. J. Alvarez and A. Ning, 2022*[^9] ```@raw html
@@ -382,7 +382,7 @@ OASPL. For updated results, see the [Rotor in Hover tutorial](@ref rotorhovernoi ``` #### Blown Wing -*Source: E. J. Alvarez*[^3]*and E. J. Alvarez and A. Ning, 2020*[^9] +*Source: E. J. Alvarez, 2022*[^1]*, and E. J. Alvarez and A. Ning, 2022*[^9] ```@raw html
diff --git a/docs/src/visualization.md b/docs/src/visualization.md index 556bbf2f..3e9d8378 100644 --- a/docs/src/visualization.md +++ b/docs/src/visualization.md @@ -1,6 +1,6 @@ # Visualization Guide -## What NOT to do +## What *NOT* to do Unfortunately, the first thing that ParaView shows when you open a particle field is a "scatter plot" full of confusing colors like this: From feda2183b4a939ac4c1fb92d3b67a3864d783a49 Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Fri, 7 Apr 2023 04:31:03 -0500 Subject: [PATCH 6/7] Write publications page --- README.md | 2 -- docs/src/theory/publications.md | 62 +++++++++++++++++++++++++++++---- 2 files changed, 55 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 88d7777c..21ea9afb 100644 --- a/README.md +++ b/README.md @@ -239,6 +239,4 @@ If the issue still persists, please * License : MIT License **TODO** -* [ ] Theory - * [ ] List of publications * [ ] Test installation instructions on MacOS and native Windows diff --git a/docs/src/theory/publications.md b/docs/src/theory/publications.md index f79035d6..d0834a16 100644 --- a/docs/src/theory/publications.md +++ b/docs/src/theory/publications.md @@ -1,11 +1,59 @@ # Publications -* Alvarez, E. J., & Ning, A. (2021, in progress). Unsteady Mixed-fidelity Aerodynamics Solver -for Maneuvering Multirotor Aircraft. AIAA SciTech Forum. [PDF]

-* Alvarez, E. J., Schenk, A., Critchfield, T., and Ning, A. (2020, in review). Rotor-on-Rotor Aeroacoustic Interactions of Multirotor in Hover. Journal of the American Helicopter Society. [SLIDES][PDF]

-* Alvarez, E. J., (2020). Quasi-steady Aerodynamics Solver for a High-fidelity Controls Framework. FLOWUnsteady Documentation. [PDF]

-* Alvarez, E. J., & Ning, A. (2020). High-fidelity Modeling of Multirotor Aerodynamic Interactions for Aircraft Design. AIAA Journal. DOI: 10.2514/1.J059178 [PDF]

-* Alvarez, E. J., & Ning, A. (2019). Modeling Multirotor Aerodynamic Interactions Through the Vortex Particle Method. AIAA AVIATION Forum. DOI: 10.2514/6.2019-2827 [SLIDES][PDF]

-* Alvarez, E. J., & Ning, A. (2018). Development of a Vortex Particle Code for the Modeling of Wake Interaction in Distributed Propulsion. AIAA AVIATION Forum. DOI: 10.2514/6.2018-3646 [SLIDES][PDF]

+ +The following is a compilation of studies that have used FLOWUnsteady + +* Anderson, R., Ning, A., Xiang, R., Schie, S. P. C. van, Sperry, M., Sarojini, + D., Kamensky, D., & Hwang, J. T., (2023) “Aerostructural Predictions Combining + FEniCS and a Viscous Vortex Particle Method,” *AIAA SCITECH Forum*. + [**[PDF]**](https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7399&context=facpub) + +* E. J. Alvarez (2022), "Reformulated Vortex Particle Method and Meshless + Large Eddy Simulation of Multirotor Aircraft," *Doctoral Dissertation, Brigham + Young University*. [**[PDF]**](https://scholarsarchive.byu.edu/etd/9589/) + +* E. J. Alvarez & A. Ning (2022), "Reviving the Vortex Particle Method: A + Stable Formulation for Meshless Large Eddy Simulation," *(in review)*. + [**[PDF]**](https://arxiv.org/pdf/2206.03658.pdf) + +* E. J. Alvarez & A. Ning (2022), "Meshless Large Eddy Simulation of + Rotor-Wing Interactions Through the Reformulated Vortex Particle Method," (in + review). + +* J. Mehr, E. J. Alvarez, & A. Ning (2022), "Interactional Aerodynamics + Analysis of a Multi-Rotor Energy Kite," *(in review)*. + +* E. J. Alvarez, J. Mehr, & A. Ning (2022), "FLOWUnsteady: An Interactional + Aerodynamics Solver for Multirotor Aircraft and Wind Energy," + *AIAA AVIATION Forum*. [**[VIDEO]**](https://youtu.be/SFW2X8Lbsdw) + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/5830/) + +* R. M. Erhard & J. J. Alonso (2022), "Comparison of Propeller Wake Models + for Distributed Electric Propulsion and eVTOL Aircraft in Complex Flow + Conditions," *AIAA SciTech Forum*. + [**[PDF]**](https://www.researchgate.net/publication/357565378_A_Comparison_of_Propeller_Wake_Models_for_Distributed_Electric_Propulsion_and_eVTOL_Aircraft_in_Complex_Flow_Conditions) + +* E. J. Alvarez & A. Ning (2020), "High-Fidelity Modeling of Multirotor + Aerodynamic Interactions for Aircraft Design," *AIAA Journal*. + [**[DOI]**](https://doi.org/10.2514/1.J059178) + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/4179/) + +* J. Mehr, E. J. Alvarez, & A. Ning (2020), "Unsteady Aerodynamic Analysis of + Wind Harvesting Aircraft," *AIAA AVIATION Forum*. + [**[VIDEO]**](https://youtu.be/iFM3B4_N2Ls) + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/4054/) + +* E. J. Alvarez, A. Schenk, T. Critchfield, & A. Ning (2020), “Rotor-on-Rotor + Aeroacoustic Interactions of Multirotor in Hover,” *VFS 76th Forum*. + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/4053/) + +* E. J. Alvarez & A. Ning (2019), "Modeling Multirotor Aerodynamic + Interactions Through the Vortex Particle Method," *AIAA AVIATION Forum*. + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/3191/) + +* E. J. Alvarez & A. Ning (2018). "Development of a Vortex Particle Code for + the Modeling of Wake Interaction in Distributed Propulsion," *AIAA AVIATION + Forum*. + [**[PDF]**](https://scholarsarchive.byu.edu/facpub/2116/) ```@raw html From b846935768c7b9f5580fe9f1d14cc4979fae0890 Mon Sep 17 00:00:00 2001 From: EdoAlvarezR Date: Fri, 7 Apr 2023 04:58:55 -0500 Subject: [PATCH 7/7] Update README --- README.md | 3 --- docs/src/index.md | 5 ----- docs/src/installation/general.md | 4 ++-- 3 files changed, 2 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 21ea9afb..7da08393 100644 --- a/README.md +++ b/README.md @@ -237,6 +237,3 @@ If the issue still persists, please * Main developer : Eduardo J. Alvarez ([edoalvarez.com](https://www.edoalvarez.com/)) * Created : Sep 2017 * License : MIT License - -**TODO** -* [ ] Test installation instructions on MacOS and native Windows diff --git a/docs/src/index.md b/docs/src/index.md index f39081e4..1f5b8044 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -319,8 +319,3 @@ If the issue still persists, please * Main developer : Eduardo J. Alvarez ([edoalvarez.com](https://www.edoalvarez.com/)) * Created : Sep 2017 * License : MIT License - -**TODO** -* [ ] Theory - * [ ] List of publications -* [ ] Test installation instructions on MacOS and native Windows diff --git a/docs/src/installation/general.md b/docs/src/installation/general.md index 7e39d0ae..6815c12b 100644 --- a/docs/src/installation/general.md +++ b/docs/src/installation/general.md @@ -11,7 +11,7 @@ FLOWUnsteady. !!! info "Windows Users" - If using Windows, please follow [these instructions](@ref windows) first to + On Windows please follow [these instructions](@ref windows) first to set up Windows Subsystem for Linux. ## Julia @@ -189,7 +189,7 @@ add FLOWVPM: If you run into any issues, please try the following: * Test that you can correctly compile C++ code wrapped for Julia following these instructions: [LINK](https://nbviewer.org/github/byuflowlab/FLOWVPM.jl/blob/master/docs/installation-linux.ipynb) -* Mac users, take a look at these thread: [LINK](https://github.com/byuflowlab/FLOWUnsteady/issues/26) +* Mac users, take a look at this thread: [LINK](https://github.com/byuflowlab/FLOWUnsteady/issues/26) * Instructions for BYU Fulton supercomputer: [LINK](https://nbviewer.jupyter.org/url/edoalvar2.groups.et.byu.net/LabNotebook/202108/FLOWVPMSuperComputer.ipynb) If issues persist, please check the resolved issues in [the FLOWExaFMM repo](https://github.com/byuflowlab/FLOWExaFMM.jl/issues)

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