From 53ba8edefa53ea0ae8c2d29b15d4048ffa72fe9e Mon Sep 17 00:00:00 2001 From: Pedro Bressan Date: Tue, 10 Dec 2024 18:24:03 +0100 Subject: [PATCH] MNT: Simplify Monte Carlo parallel export structure. --- .../monte_carlo_class_example.errors.txt | 1 - .../monte_carlo_class_example.inputs.txt | 100 + .../monte_carlo_class_example.kml | 93 + .../monte_carlo_class_example.outputs.txt | 100 + .../monte_carlo_class_usage.ipynb | 2500 +++++++++-------- rocketpy/simulation/monte_carlo.py | 190 +- 6 files changed, 1661 insertions(+), 1323 deletions(-) diff --git a/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.errors.txt b/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.errors.txt index 3cab45459..e69de29bb 100644 --- a/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.errors.txt +++ b/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.errors.txt @@ -1 +0,0 @@ -{"elevation": 113, "gravity": "'Function from R1 to R1 : (height (m)) \u2192 (gravity (m/s\u00b2))'", "latitude": 39.3897, "longitude": -8.288964, "wind_velocity_x_factor": 1.0, "wind_velocity_y_factor": 1.0, "datum": "SIRGAS2000", "timezone": "UTC", "ensemble_member": 12, "radius": 0.0635026504073287, "mass": 15.682085969389227, "I_11_without_motor": 6.321, "I_22_without_motor": 6.338988882158036, "I_33_without_motor": 0.03130204348386302, "I_12_without_motor": 0, "I_13_without_motor": 0, "I_23_without_motor": 0, "power_off_drag": "'Function from R1 to R1 : (Mach Number) \u2192 (Drag Coefficient with Power Off)'", "power_on_drag": "'Function from R1 to R1 : (Mach Number) \u2192 (Drag Coefficient with Power On)'", "power_off_drag_factor": 1.0, "power_on_drag_factor": 1.0, "center_of_mass_without_motor": 0.0, "coordinate_system_orientation": "tail_to_nose", 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"name": "Tail", "position": [0, 0, [0, 0, -1.194656]]}], "rail_buttons": [{"buttons_distance": 0.6974746622933771, "angular_position": 45, "name": "Rail Buttons", "lower_button_position": -0.6188258915052254, "upper_button_position": 0.07864877078815169}], "rail_length": 5, "inclination": 84.44167248190685, "heading": 54.43860091183173} diff --git a/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.inputs.txt b/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.inputs.txt index e69de29bb..be5e14fd3 100644 --- a/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.inputs.txt +++ b/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.inputs.txt @@ -0,0 +1,100 @@ +{"elevation": 113, "gravity": "'Function from R1 to R1 : (height (m)) \u2192 (gravity (m/s\u00b2))'", "latitude": 39.3897, "longitude": -8.288964, "wind_velocity_x_factor": 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0.8315644518713481, "impact_velocity": -5.237049161943999, "lateral_surface_wind": 1.3358580106810267, "y_impact": 731.2995112818481, "apogee": 3151.759007423324, "out_of_rail_velocity": 25.21747186365754, "initial_stability_margin": 2.597941423894852, "frontal_surface_wind": -2.0020654706749847, "out_of_rail_time": 0.36340286997919097, "out_of_rail_stability_margin": 2.672641548638157, "index": 98} diff --git a/docs/notebooks/monte_carlo_analysis/monte_carlo_class_usage.ipynb b/docs/notebooks/monte_carlo_analysis/monte_carlo_class_usage.ipynb index 1883731d1..d9e8477ea 100644 --- a/docs/notebooks/monte_carlo_analysis/monte_carlo_class_usage.ipynb +++ b/docs/notebooks/monte_carlo_analysis/monte_carlo_class_usage.ipynb @@ -1,1237 +1,1323 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Monte Carlo class usage" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Landing point dispersion ellipses](https://raw.githubusercontent.com/RocketPy-Team/RocketPy/master/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/valetudo_rocket_v0.svg)\n", - "\n", - "This is an advanced use of RocketPy. This notebook runs a Monte Carlo analysis and predicts probability distributions of the rocket's landing point, apogee and other relevant information. \n", - "\n", - "The `MonteCarlo` class simplifies the process of performing Monte Carlo simulations. The idea is to take the already defined classes for a standard flight simulation, and create the so called ``Stochastic`` classes, which are used to run the Monte Carlo analysis.\n", - "\n", - "This class offers extensive capabilities, and this example notebook covers as many as possible.\n", - "For a deeper understanding, we recommend checking the class [documentation](https://docs.rocketpy.org/en/latest/).\n", - "\n", - "For a more comprehensive conceptual understanding of Monte Carlo Simulations, refer to RocketPy's main reference: [RocketPy: Six Degree-of-Freedom Rocket Trajectory Simulator](https://doi.org/10.1061/(ASCE)AS.1943-5525.0001331).\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], - "source": [ - "# We import these lines for debugging purposes, only works on Jupyter Notebook\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, let's import the necessary libraries" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [], - "source": [ - "from rocketpy import Environment, SolidMotor, Rocket, Flight, MonteCarlo, Function\n", - "from rocketpy.stochastic import (\n", - " StochasticEnvironment,\n", - " StochasticSolidMotor,\n", - " StochasticRocket,\n", - " StochasticFlight,\n", - " StochasticNoseCone,\n", - " StochasticTail,\n", - " StochasticTrapezoidalFins,\n", - " StochasticParachute,\n", - " StochasticRailButtons,\n", - ")\n", - "import datetime" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you are using Jupyter Notebooks, it is recommended to run the following line to make matplotlib plots which will be shown later interactive and higher quality.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib widget" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 1: Standard Simulation\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We will first create a standard RocketPy simulation objects (e.g. Environment, SolidMotor, etc.) to then create the Stochastic objects.\n", - "\n", - "The standard objects created here are the same as in the [First Simulation Page](https://docs.rocketpy.org/en/latest/user/first_simulation.html) of our documentation, so you can go through that if you want to understand what is done in more detail.\n", - "\n", - "The only difference here is that we will use a `Environment` with atmospheric model type `Ensemble`. This allows us to run the Monte Carlo analysis with different ensemble members, which are different atmospheric profiles.\n", - "\n", - "We will do it all in one single cell for simplicity." - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total Impulse of the Solid Motor: 6026.35 Ns\n" - ] - } - ], - "source": [ - "# Environment\n", - "env = Environment(latitude=39.389700, longitude=-8.288964, elevation=113)\n", - "tomorrow = datetime.date.today() + datetime.timedelta(days=1)\n", - "env.set_date((tomorrow.year, tomorrow.month, tomorrow.day, 12))\n", - "env.set_atmospheric_model(type=\"Ensemble\", file=\"GEFS\")\n", - "\n", - "# Motor\n", - "motor = SolidMotor(\n", - " thrust_source=\"../../../data/motors/cesaroni/Cesaroni_M1670.eng\",\n", - " dry_mass=1.815,\n", - " dry_inertia=(0.125, 0.125, 0.002),\n", - " nozzle_radius=33 / 1000,\n", - " grain_number=5,\n", - " grain_density=1815,\n", - " grain_outer_radius=33 / 1000,\n", - " grain_initial_inner_radius=15 / 1000,\n", - " grain_initial_height=120 / 1000,\n", - " grain_separation=5 / 1000,\n", - " grains_center_of_mass_position=0.397,\n", - " center_of_dry_mass_position=0.317,\n", - " nozzle_position=0,\n", - " burn_time=3.9,\n", - " throat_radius=11 / 1000,\n", - " coordinate_system_orientation=\"nozzle_to_combustion_chamber\",\n", - ")\n", - "print(f\"Total Impulse of the Solid Motor: {motor.total_impulse} Ns\")\n", - "\n", - "# Rocket\n", - "rocket = Rocket(\n", - " radius=127 / 2000,\n", - " mass=14.426,\n", - " inertia=(6.321, 6.321, 0.034),\n", - " power_off_drag=\"../../../data/rockets/calisto/powerOffDragCurve.csv\",\n", - " power_on_drag=\"../../../data/rockets/calisto/powerOnDragCurve.csv\",\n", - " center_of_mass_without_motor=0,\n", - " coordinate_system_orientation=\"tail_to_nose\",\n", - ")\n", - "\n", - "rail_buttons = rocket.set_rail_buttons(\n", - " upper_button_position=0.0818,\n", - " lower_button_position=-0.618,\n", - " angular_position=45,\n", - ")\n", - "\n", - "rocket.add_motor(motor, position=-1.255)\n", - "\n", - "nose_cone = rocket.add_nose(length=0.55829, kind=\"vonKarman\", position=1.278)\n", - "\n", - "fin_set = rocket.add_trapezoidal_fins(\n", - " n=4,\n", - " root_chord=0.120,\n", - " tip_chord=0.060,\n", - " span=0.110,\n", - " position=-1.04956,\n", - " cant_angle=0.5,\n", - " airfoil=(\"../../../data/airfoils/NACA0012-radians.txt\", \"radians\"),\n", - ")\n", - "\n", - "tail = rocket.add_tail(\n", - " top_radius=0.0635, bottom_radius=0.0435, length=0.060, position=-1.194656\n", - ")\n", - "Main = rocket.add_parachute(\n", - " \"Main\",\n", - " cd_s=10.0,\n", - " trigger=800,\n", - " sampling_rate=105,\n", - " lag=1.5,\n", - " noise=(0, 8.3, 0.5),\n", - ")\n", - "\n", - "Drogue = rocket.add_parachute(\n", - " \"Drogue\",\n", - " cd_s=1.0,\n", - " trigger=\"apogee\",\n", - " sampling_rate=105,\n", - " lag=1.5,\n", - " noise=(0, 8.3, 0.5),\n", - ")\n", - "\n", - "# Flight\n", - "test_flight = Flight(\n", - " rocket=rocket,\n", - " environment=env,\n", - " rail_length=5,\n", - " inclination=84,\n", - " heading=133,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Lets check the trajectory of the Flight." - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "test_flight.plots.trajectory_3d()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The flight trajectory above represents the nominal trajectory of the rocket, without any uncertainties.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 2: Stochastic Objects" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For each RocketPy object, we will create a ``Stochastic`` counterpart that extends the initial model, allowing us to define the uncertainties of each input parameter.\n", - "\n", - "Please refer to the [Working with Stochastic Objects](https://docs.rocketpy.org/en/latest/user/stochastic.html#working-with-stochastic-objects) page on RocketPy`s documentation for a more detailed explanation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Stochastic Environment" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Starting with the `Environment` object, we will create a `StochasticEnvironment` to specify its uncertainties.\n", - "\n", - "In this first example, we will specify the ensemble member and wind velocities factor.\n", - "\n", - "Since the ensemble member is a discrete value, **only list type inputs are permitted**. The list will contain the ensemble numbers to be randomly selected during the Monte Carlo simulation. This means that in each iteration, a different ensemble member will be chosen.\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reporting the attributes of the `StochasticEnvironment` object:\n", - "\n", - "Constant Attributes:\n", - "\tdatum SIRGAS2000\n", - "\televation 113\n", - "\tgravity Function from R1 to R1 : (height (m)) → (gravity (m/s²))\n", - "\tlatitude 39.3897\n", - "\tlongitude -8.288964\n", - "\ttimezone UTC\n", - "\n", - "Stochastic Attributes:\n", - "\twind_velocity_x_factor 1.00000 ± 0.00000 (normal)\n", - "\twind_velocity_y_factor 1.00000 ± 0.00000 (normal)\n", - "\n", - "Stochastic Attributes with choice of values:\n", - "\tensemble_member [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]\n" - ] - } - ], - "source": [ - "stochastic_env = StochasticEnvironment(\n", - " environment=env,\n", - " ensemble_member=list(range(env.num_ensemble_members)),\n", - ")\n", - "\n", - "stochastic_env.visualize_attributes()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### NOTE\n", - "\n", - "Always check the `.visualize_attributes()` method of each stochastic object to verify the uncertainties were correctly set.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Just to illustrate the potential of this technique, let's randomly generate 5 instances of the environment using the `create_object` method.\n", - "\n", - "For each instance, we will calculate the wind speed at 1km altitude and store the results in a list." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[2.5548847507536157, 1.2065420428505167, 2.2949783982999095, 0.8583363979528841, 0.052434924000638206]\n" - ] - } - ], - "source": [ - "wind_speed_at_1000m = []\n", - "for i in range(5):\n", - " rnd_env = stochastic_env.create_object()\n", - " wind_speed_at_1000m.append(rnd_env.wind_velocity_x(1000))\n", - "\n", - "print(wind_speed_at_1000m)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As you can see, the wind speed varies between ensemble members.\n", - "This demonstrates how the Monte Carlo simulation can capture the variability in wind conditions due to different ensemble members.\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Motor\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can now create a `StochasticSolidMotor` object to define the uncertainties associated with the motor.\n", - "In this example, we will apply more complex uncertainties to the motor parameters.\n", - "\n", - "The `StochasticSolidMotor` also has one special parameter which is the `total_impulse`. It lets us alter the total impulse of the motor while maintaining the thrust curve shape. This is particularly useful for motor uncertainties." - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reporting the attributes of the `StochasticSolidMotor` object:\n", - "\n", - "Constant Attributes:\n", - "\tburn_out_time 3.9\n", - "\tcenter_of_dry_mass_position 0.317\n", - "\tcoordinate_system_orientation nozzle_to_combustion_chamber\n", - "\tdry_I_11 0.125\n", - "\tdry_I_12 0\n", - "\tdry_I_13 0\n", - "\tdry_I_22 0.125\n", - "\tdry_I_23 0\n", - "\tdry_I_33 0.002\n", - "\tdry_mass 1.815\n", - "\tgrain_number 5\n", - "\tinterpolate linear\n", - "\tthrust_source [[0, 0], [0.055, 100.0], [0.092, 1500.0], [0.1, 2000.0], [0.15, 2200.0], [0.2, 1800.0], [0.5, 1950.0], [1.0, 2034.0], [1.5, 2000.0], [2.0, 1900.0], [2.5, 1760.0], [2.9, 1700.0], [3.0, 1650.0], [3.3, 530.0], [3.4, 350.0], [3.9, 0.0]]\n", - "\n", - "Stochastic Attributes:\n", - "\tburn_start_time 0.00000 ± 0.10000 (binomial)\n", - "\tgrain_density 1815.00000 ± 50.00000 (normal)\n", - "\tgrain_initial_height 0.12000 ± 0.00100 (normal)\n", - "\tgrain_initial_inner_radius 0.01500 ± 0.00038 (normal)\n", - "\tgrain_outer_radius 0.03300 ± 0.00038 (normal)\n", - "\tgrain_separation 0.00500 ± 0.00100 (normal)\n", - "\tgrains_center_of_mass_position 0.39700 ± 0.00100 (normal)\n", - "\tnozzle_position 0.00000 ± 0.00100 (normal)\n", - "\tnozzle_radius 0.03300 ± 0.00050 (normal)\n", - "\tthroat_radius 0.01100 ± 0.00050 (normal)\n", - "\ttotal_impulse 6500.00000 ± 1000.00000 (normal)\n" - ] - } - ], - "source": [ - "stochastic_motor = StochasticSolidMotor(\n", - " solid_motor=motor,\n", - " burn_start_time=(0, 0.1, \"binomial\"),\n", - " grains_center_of_mass_position=0.001,\n", - " grain_density=50,\n", - " grain_separation=1 / 1000,\n", - " grain_initial_height=1 / 1000,\n", - " grain_initial_inner_radius=0.375 / 1000,\n", - " grain_outer_radius=0.375 / 1000,\n", - " total_impulse=(6500, 1000),\n", - " throat_radius=0.5 / 1000,\n", - " nozzle_radius=0.5 / 1000,\n", - " nozzle_position=0.001,\n", - ")\n", - "stochastic_motor.visualize_attributes()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### NOTE\n", - "\n", - "Pay special attention to how different input types are interpreted in the `StochasticSolidMotor` object by checking the printed object:\n", - "\n", - "\n", - "\n", - "\n", - "- ``burn_start_time`` was given as a tuple of 3 items, specifying the nominal value, the standard deviation and the distribution type\n", - "\n", - "- ``total_impulse`` was given as a tuple of 2 numbers, so the distribution type was set to the default: `normal`\n", - "\n", - "- All other values set for the other parameters in the constructor are simple values, which means they are interpreted as standard deviation and the nominal value is taken from the ``motor``\n", - "\n", - "- The remaining parameters that are printed are just the nominal values from the ``motor``. In the ``Stochastic`` object they are saved as a list of one item\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once again, we can illustrate the power of stochastic modeling by generating multiple instances of the `SolidMotor` class using the `StochasticSolidMotor` object.\n", - "For each instance, we will calculate the total impulse and store the results in a list. This will show how the uncertainties in the motor parameters affect the total impulse over multiple iterations.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[5475.6970899461085, 7318.610604243551, 6801.759141032717, 5908.113692253106, 8070.502878711937]\n" - ] - } - ], - "source": [ - "total_impulse = []\n", - "for i in range(5):\n", - " rnd_motor = stochastic_motor.create_object()\n", - " total_impulse.append(rnd_motor.total_impulse)\n", - "\n", - "print(total_impulse)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Rocket\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can now create a `StochasticRocket` object to define the uncertainties associated with the rocket." - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reporting the attributes of the `StochasticRocket` object:\n", - "\n", - "Constant Attributes:\n", - "\tI_12_without_motor 0\n", - "\tI_13_without_motor 0\n", - "\tI_23_without_motor 0\n", - "\tcoordinate_system_orientation tail_to_nose\n", - "\tpower_off_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power Off)\n", - "\tpower_on_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power On)\n", - "\n", - "Stochastic Attributes:\n", - "\tI_11_without_motor 6.32100 ± 0.00000 (normal)\n", - "\tI_22_without_motor 6.32100 ± 0.01000 (normal)\n", - "\tI_33_without_motor 0.03400 ± 0.01000 (normal)\n", - "\tcenter_of_mass_without_motor 0.00000 ± 0.00000 (normal)\n", - "\tmass 15.42600 ± 0.50000 (normal)\n", - "\tpower_off_drag_factor 1.00000 ± 0.00000 (normal)\n", - "\tpower_on_drag_factor 1.00000 ± 0.00000 (normal)\n", - "\tradius 0.06350 ± 0.00001 (normal)\n" - ] - } - ], - "source": [ - "stochastic_rocket = StochasticRocket(\n", - " rocket=rocket,\n", - " radius=0.0127 / 2000,\n", - " mass=(15.426, 0.5, \"normal\"),\n", - " inertia_11=(6.321, 0),\n", - " inertia_22=0.01,\n", - " inertia_33=0.01,\n", - " center_of_mass_without_motor=0,\n", - ")\n", - "stochastic_rocket.visualize_attributes()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `StochasticRocket` still needs to have its aerodynamic surfaces and parachutes added. \n", - "\n", - "We can also create stochastic models for each aerodynamic surface, although this is not mandatory." - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": {}, - "outputs": [], - "source": [ - "stochastic_nose_cone = StochasticNoseCone(\n", - " nosecone=nose_cone,\n", - " length=0.001,\n", - ")\n", - "\n", - "stochastic_fin_set = StochasticTrapezoidalFins(\n", - " trapezoidal_fins=fin_set,\n", - " root_chord=0.0005,\n", - " tip_chord=0.0005,\n", - " span=0.0005,\n", - ")\n", - "\n", - "stochastic_tail = StochasticTail(\n", - " tail=tail,\n", - " top_radius=0.001,\n", - " bottom_radius=0.001,\n", - " length=0.001,\n", - ")\n", - "\n", - "stochastic_rail_buttons = StochasticRailButtons(\n", - " rail_buttons=rail_buttons, buttons_distance=0.001\n", - ")\n", - "\n", - "stochastic_main = StochasticParachute(\n", - " parachute=Main,\n", - " cd_s=0.1,\n", - " lag=0.1,\n", - ")\n", - "\n", - "stochastic_drogue = StochasticParachute(\n", - " parachute=Drogue,\n", - " cd_s=0.07,\n", - " lag=0.2,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Then we must add them to our stochastic rocket, much like we do in the normal Rocket.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [], - "source": [ - "stochastic_rocket.add_motor(stochastic_motor, position=0.001)\n", - "stochastic_rocket.add_nose(stochastic_nose_cone, position=(1.134, 0.001))\n", - "stochastic_rocket.add_trapezoidal_fins(stochastic_fin_set, position=(0.001, \"normal\"))\n", - "stochastic_rocket.add_tail(stochastic_tail)\n", - "stochastic_rocket.set_rail_buttons(\n", - " stochastic_rail_buttons, lower_button_position=(0.001, \"normal\")\n", - ")\n", - "stochastic_rocket.add_parachute(stochastic_main)\n", - "stochastic_rocket.add_parachute(stochastic_drogue)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### NOTE\n", - "\n", - "The `position` arguments behave just like the other ``Stochastic`` classes parameters\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now lets check how the `StochasticRocket` handled all these additions" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reporting the attributes of the `StochasticRocket` object:\n", - "\n", - "Constant Attributes:\n", - "\tI_12_without_motor 0\n", - "\tI_13_without_motor 0\n", - "\tI_23_without_motor 0\n", - "\tcoordinate_system_orientation tail_to_nose\n", - "\tpower_off_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power Off)\n", - "\tpower_on_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power On)\n", - "\n", - "Stochastic Attributes:\n", - "\tI_11_without_motor 6.32100 ± 0.00000 (normal)\n", - "\tI_22_without_motor 6.32100 ± 0.01000 (normal)\n", - "\tI_33_without_motor 0.03400 ± 0.01000 (normal)\n", - "\tcenter_of_mass_without_motor 0.00000 ± 0.00000 (normal)\n", - "\tmass 15.42600 ± 0.50000 (normal)\n", - "\tpower_off_drag_factor 1.00000 ± 0.00000 (normal)\n", - "\tpower_on_drag_factor 1.00000 ± 0.00000 (normal)\n", - "\tradius 0.06350 ± 0.00001 (normal)\n" - ] - } - ], - "source": [ - "stochastic_rocket.visualize_attributes()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "### Flight\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After defining the `Flight`, we can create the corresponding `Stochastic` object to define the uncertainties of the input parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reporting the attributes of the `StochasticFlight` object:\n", - "\n", - "Constant Attributes:\n", - "\trail_length 5\n", - "\n", - "Stochastic Attributes:\n", - "\theading 53.00000 ± 2.00000 (normal)\n", - "\tinclination 84.70000 ± 1.00000 (normal)\n" - ] - } - ], - "source": [ - "stochastic_flight = StochasticFlight(\n", - " flight=test_flight,\n", - " inclination=(84.7, 1), # mean= 84.7, std=1\n", - " heading=(53, 2), # mean= 53, std=2\n", - ")\n", - "stochastic_flight.visualize_attributes()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2: Starting the Monte Carlo Simulations\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, let's invoke the `MonteCarlo` class, we are going to need a filename to initialize it.\n", - "The filename will be used either to save the results of the simulations or to load them\n", - "from a previous ran simulation.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The following input file was imported: monte_carlo_analysis_outputs/monte_carlo_class_example.inputs.txt\n", - "A total of 158 simulations results were loaded from the following output file: monte_carlo_analysis_outputs/monte_carlo_class_example.outputs.txt\n", - "\n", - "The following error file was imported: monte_carlo_analysis_outputs/monte_carlo_class_example.errors.txt\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\guiga\\Documents\\github\\RocketPy\\rocketpy\\simulation\\monte_carlo.py:112: UserWarning: This class is still under testing and some attributes may be changed in next versions\n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "test_dispersion = MonteCarlo(\n", - " filename=\"monte_carlo_analysis_outputs/monte_carlo_class_example\",\n", - " environment=stochastic_env,\n", - " rocket=stochastic_rocket,\n", - " flight=stochastic_flight,\n", - ")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, let's simulate our flights. \n", - "We can run the simulations using the method `MonteCarlo.simulate()`.\n", - "\n", - "Set `append=False` to overwrite the previous results, or `append=True` to add the new results to the previous ones.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Completed 819 iterations. Total CPU time: 921.0 s. Total wall time: 1557.1 stime left: 0 s \n", - "Saving results. \n", - "Results saved to monte_carlo_analysis_outputs/monte_carlo_class_example.outputs.txt\n" - ] - } - ], - "source": [ - "test_dispersion.simulate(number_of_simulations=1000, append=False)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualizing the results\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we finally have the results of our Monte Carlo simulations loaded!\n", - "Let's play with them.\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we can print numerical information regarding the results of the simulations.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [], - "source": [ - "# You only need to import results if you did not run the simulations\n", - "# test_dispersion.import_results()" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "819" - ] - }, - "execution_count": 97, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "test_dispersion.num_of_loaded_sims" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Monte Carlo Simulation by RocketPy\n", - "Data Source: monte_carlo_analysis_outputs/monte_carlo_class_example\n", - "Number of simulations: 819\n", - "Results: \n", - "\n", - " Parameter Mean Std. Dev.\n", - "------------------------------------------------------------\n", - " lateral_surface_wind 3.537 0.908\n", - " apogee_x 463.938 141.323\n", - " y_impact 2426.761 588.981\n", - " max_mach_number 0.849 0.132\n", - " impact_velocity -5.360 0.080\n", - " apogee_y -54.065 118.707\n", - " frontal_surface_wind 3.222 0.877\n", - " apogee_time 25.574 2.064\n", - " initial_stability_margin 2.600 0.081\n", - "out_of_rail_stability_margin 2.673 0.080\n", - " apogee 3405.949 629.080\n", - " out_of_rail_velocity 25.772 2.216\n", - " out_of_rail_time 0.360 0.026\n", - " t_final 303.347 35.011\n", - " x_impact 1334.886 396.894\n" - ] - } - ], - "source": [ - "test_dispersion.prints.all()" + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Monte Carlo class usage" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![Landing point dispersion ellipses](https://raw.githubusercontent.com/RocketPy-Team/RocketPy/master/docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/valetudo_rocket_v0.svg)\n", + "\n", + "This is an advanced use of RocketPy. This notebook runs a Monte Carlo analysis and predicts probability distributions of the rocket's landing point, apogee and other relevant information. \n", + "\n", + "The `MonteCarlo` class simplifies the process of performing Monte Carlo simulations. The idea is to take the already defined classes for a standard flight simulation, and create the so called ``Stochastic`` classes, which are used to run the Monte Carlo analysis.\n", + "\n", + "This class offers extensive capabilities, and this example notebook covers as many as possible.\n", + "For a deeper understanding, we recommend checking the class [documentation](https://docs.rocketpy.org/en/latest/).\n", + "\n", + "For a more comprehensive conceptual understanding of Monte Carlo Simulations, refer to RocketPy's main reference: [RocketPy: Six Degree-of-Freedom Rocket Trajectory Simulator](https://doi.org/10.1061/(ASCE)AS.1943-5525.0001331).\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# We import these lines for debugging purposes, only works on Jupyter Notebook\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, let's import the necessary libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from rocketpy import Environment, SolidMotor, Rocket, Flight, MonteCarlo, Function\n", + "from rocketpy.stochastic import (\n", + " StochasticEnvironment,\n", + " StochasticSolidMotor,\n", + " StochasticRocket,\n", + " StochasticFlight,\n", + " StochasticNoseCone,\n", + " StochasticTail,\n", + " StochasticTrapezoidalFins,\n", + " StochasticParachute,\n", + " StochasticRailButtons,\n", + ")\n", + "import datetime" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you are using Jupyter Notebooks, it is recommended to run the following line to make matplotlib plots which will be shown later interactive and higher quality.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib widget" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 1: Standard Simulation\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will first create a standard RocketPy simulation objects (e.g. Environment, SolidMotor, etc.) to then create the Stochastic objects.\n", + "\n", + "The standard objects created here are the same as in the [First Simulation Page](https://docs.rocketpy.org/en/latest/user/first_simulation.html) of our documentation, so you can go through that if you want to understand what is done in more detail.\n", + "\n", + "The only difference here is that we will use a `Environment` with atmospheric model type `Ensemble`. This allows us to run the Monte Carlo analysis with different ensemble members, which are different atmospheric profiles.\n", + "\n", + "We will do it all in one single cell for simplicity." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "oc_open: server error retrieving url: code=0 message=\"/gens_bc/gens20241210/gep_all_12z is not an available dataset\"" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Impulse of the Solid Motor: 6026.35 Ns\n" + ] + } + ], + "source": [ + "# Environment\n", + "env = Environment(latitude=39.389700, longitude=-8.288964, elevation=113)\n", + "tomorrow = datetime.date.today() + datetime.timedelta(days=1)\n", + "env.set_date((tomorrow.year, tomorrow.month, tomorrow.day, 12))\n", + "env.set_atmospheric_model(type=\"Ensemble\", file=\"GEFS\")\n", + "\n", + "# Motor\n", + "motor = SolidMotor(\n", + " thrust_source=\"../../../data/motors/cesaroni/Cesaroni_M1670.eng\",\n", + " dry_mass=1.815,\n", + " dry_inertia=(0.125, 0.125, 0.002),\n", + " nozzle_radius=33 / 1000,\n", + " grain_number=5,\n", + " grain_density=1815,\n", + " grain_outer_radius=33 / 1000,\n", + " grain_initial_inner_radius=15 / 1000,\n", + " grain_initial_height=120 / 1000,\n", + " grain_separation=5 / 1000,\n", + " grains_center_of_mass_position=0.397,\n", + " center_of_dry_mass_position=0.317,\n", + " nozzle_position=0,\n", + " burn_time=3.9,\n", + " throat_radius=11 / 1000,\n", + " coordinate_system_orientation=\"nozzle_to_combustion_chamber\",\n", + ")\n", + "print(f\"Total Impulse of the Solid Motor: {motor.total_impulse} Ns\")\n", + "\n", + "# Rocket\n", + "rocket = Rocket(\n", + " radius=127 / 2000,\n", + " mass=14.426,\n", + " inertia=(6.321, 6.321, 0.034),\n", + " power_off_drag=\"../../../data/rockets/calisto/powerOffDragCurve.csv\",\n", + " power_on_drag=\"../../../data/rockets/calisto/powerOnDragCurve.csv\",\n", + " center_of_mass_without_motor=0,\n", + " coordinate_system_orientation=\"tail_to_nose\",\n", + ")\n", + "\n", + "rail_buttons = rocket.set_rail_buttons(\n", + " upper_button_position=0.0818,\n", + " lower_button_position=-0.618,\n", + " angular_position=45,\n", + ")\n", + "\n", + "rocket.add_motor(motor, position=-1.255)\n", + "\n", + "nose_cone = rocket.add_nose(length=0.55829, kind=\"vonKarman\", position=1.278)\n", + "\n", + "fin_set = rocket.add_trapezoidal_fins(\n", + " n=4,\n", + " root_chord=0.120,\n", + " tip_chord=0.060,\n", + " span=0.110,\n", + " position=-1.04956,\n", + " cant_angle=0.5,\n", + " airfoil=(\"../../../data/airfoils/NACA0012-radians.txt\", \"radians\"),\n", + ")\n", + "\n", + "tail = rocket.add_tail(\n", + " top_radius=0.0635, bottom_radius=0.0435, length=0.060, position=-1.194656\n", + ")\n", + "Main = rocket.add_parachute(\n", + " \"Main\",\n", + " cd_s=10.0,\n", + " trigger=800,\n", + " sampling_rate=105,\n", + " lag=1.5,\n", + " noise=(0, 8.3, 0.5),\n", + ")\n", + "\n", + "Drogue = rocket.add_parachute(\n", + " \"Drogue\",\n", + " cd_s=1.0,\n", + " trigger=\"apogee\",\n", + " sampling_rate=105,\n", + " lag=1.5,\n", + " noise=(0, 8.3, 0.5),\n", + ")\n", + "\n", + "# Flight\n", + "test_flight = Flight(\n", + " rocket=rocket,\n", + " environment=env,\n", + " rail_length=5,\n", + " inclination=84,\n", + " heading=133,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lets check the trajectory of the Flight." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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JIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSGEEEIICUIhmRBCCCGEkCAUkgkhhBBCCAlCIZkQQgghhJAgFJIJIYQQQggJQiGZEEIIIYSQIBSSCSFEIjiOg9/vB8dxyR4KIYR0eopkD4AQQkhLHMcJoZhlWfj9fvh8PnAcB5VKBZlMBoZhIJPJhP9nGCbZwyaEkE6DQjIhhKQAlmWFMMwHYpZlhbAMQAjEHMcJPxMHY/7n4tBMwZkQQqLDcPS5HSGEJFRwIOa/xIGYnyUODroMw0CpVAr/5i8v/i8FZ0II6TiaSSaEkDjil0yIvxobG9HY2IiCggIh1PJBFkBEIZa/rPh3xIGZD+Msy2LPnj3o1asXlEplixBOwZkQQgJRSCaEkBgRryH2+XytzhA7nU5UV1eje/fucQmnoYIzy7IoLy9HcXGxEMbFlxevcabgTAghFJIJISQqwZvqxBvrxEseGIaBXC4X/h9AVDPGHSW+bf72xTPOfr+/xeVDLdOg4EwI6SooJBNCSDvEyxbEX8Gb50IF4lTW3lIN/n6KL0/BmRDSVVBIJoQQkfYCMQAhGEqp9Fq4e7QpOBNCSDMKyYSQLit4Yxu/jphlWeHnyQ7EXq8XNpsNNpsNVqsVNpsNCoUCZrNZ+DIajS3WGbcmmvGHG5yDHy/xOudob5sQQpKFQjIhpEvgA7G4MUeqBWK/3x8Qhq1WK5xOJzQaDYxGI0wmEwoLCwEAjY2NqKqqwq5du+Dz+WA0GgOCs16vDzs4RyOc4Ozz+YTLUHAmhEgNhWRCSKcTHIjFzTn4nyc7EHMcB6vVKnzZbDY4HA6oVCqYTCYYjUbk5eXBaDRCpVIJv8fXSc7NzRWux+l0CmXlDh48iG3btoHjOJhMJiE063S6uN+n9oIzH5r5y1BwJoSkMmomQgiRtNYCsbjsGnA0lCUjELMsC4fDIcwO19fXw+VyQalUCjPE/H/VanWb1xXcTCQUjuPgcDiE4MwHcZZlkZ6ejrS0NCFAa7XapLxB4P8b6m8UqgEKIYQkGoVkQohk8KFKvIaYD8QVFRXQ6XTIzs5OaiDmOA5NTU0BSybsdjsYhhGCMMdxsFgsGDlyZMTjCyckh+J2u/H777+jf//+sNvtaGxsDFjfLJ511mg0EV9/RwUH5127diE9PR3Z2dkBM80UnAkhiULLLQghKSk4EIuXTPDLJsRBuKmpCUqlEgpF4g5r/FIH8Tpim80GjuNgNBphNBpRWFgIo9EInU4nBLvq6mo0NjYmNOjxSxm6desmPEbiNdCNjY3YtWsX7HY71Gp1QGg2m80BSz7iIXiphs1mEx6z4Moi/P2h4EwIiScKyYSQpGsrEIs/kufDkEKhaBGI4h2QOI6D2+0WQiUfiv1+PwwGA0wmE/Ly8tCnTx/odLp2N82lwod4crkcaWlpSEtLE77n8/lgs9mEpRqHDh1CU1MTNBpNQGg2mUxRzWhHIvjTAPFjRsGZEBJvFJIJIQnX2qa6UIGY/2+ieTyegCUTNpsNXq8Xer0eRqMROTk56NWrFwwGQ1yrSCSaQqFAeno60tPThe95vV5htrmxsRH79u2Dy+WCTqdrUYouljP5bb0RCg7O/Np0cXMXACHXN1NwJoSEg0IyISSuggOxuKYucLTShDjIRCva2Vm+FrE4FLvdbuh0OhiNRmRkZKC4uBgGg0HoqNeVKJVKZGZmIjMzU/iex+MRQnNdXR3Ky8vhdrthMBiiruEcjfYqavDPPfHlWmuAQgghYhSSCSExE7yprr1ADLS+TMLH+lDjqoHb54ZGoUG2NhtypuMB1efzwW63h6xFbDKZhFrEsZ4V7WxUKhWys7ORnZ0N4OhyFD44V1dXh6zhbDKZ4j773l5w5p+n4ssFf3JBwZkQQmcAQkhUQq0h5gNxcPtmfva1vdAh/qh8S/0WzFg6Q/iZRq5B//T+GF8wHhO7T0SaOi3gd0Ndt9/vh91uD5glDqcWcWcU7zXQDMNAo9FAo9GErOFstVpx6NChFjWc+f/q9foWoTaWITWc5ifBl6d224R0bRSSCSHtCg7EwbWIxQEk3EAsVu+qx4ubX0SpqRRX9LkCAJCny4OCUUCr0MLpc8Lld2F97Xqsr12P17e8jjnHzsHZxWcHjNHlcuHgwYNCKHY4HFAoFELptezs7LBqEcdbVwlaDMNAp9NBp9MhPz8fwNEazvwa5/3792PLli1gGCagoob4E4h4jk/8X358/H/557r48hScCek6KCQTQgKI13GKv4KrCUQbiIOVW8sxZ8UcVDur0U3fDZf3vhwMwyBHm4Ml5y+BjJHBz/mx374ff1X9he/2foddjbuQpcjC4cOHA6pNMAyDtLQ0GI1GFBcXw2g0QqPRUIhJIQzDwGAwwGAwoKCgAMDRZiv8Uo3y8nKhvvThw4cD1jir1eq4/j0pOBNCeBSSCenC2grEGzduRN++fYVQEo+SWvWuety6/FbUumpRZCzCfcPvC9xgBaZ5ravTDW2TFsO4YShNK8VmbjNcu104ZDwEk8kEb7oX6cp0pJnSUFJSErPxkcSQyWQBdaUBYNWqVcjKyoJKpUq5Gs5Ay+B8+PBhNDY2onfv3hScCekkKCQT0kWIA7F4Yx3fmINfNsGf4PlmF/HcvPb8pudR66pFsbEYr574KoxKI1wuV5u1iPPz89G3b1+hFvEe6x7c+/u9KNWU4jbDbXEbK0ksfqkGP9sMpF4NZ/F/PR6P0FlRPOMc/LoSbxAU/z4hJPVQSCakE+IDcfCmutYCcahZrnifvCtsFfhp/08AgOvyr0P5tvKoahFXNlWCBYtNjk14suxJPN/jeeiV+riOXcqkHMrCqeG8f/9+OJ3OgBrOfNWSeL7hC16KFPx9Pjj7fL6Ay1FwJiR1UUgmROKCA3HwprpwAnFb1x0rwbWIFx5cCAAYqB6IPCYPpgxTVLWIj8s7DvPGzcNty2/DNvs2/GfVf/DMuGeglMV3JpHEV7jPvfZqONfX17eo4cwv1zAajTGtex3qddXeUg0+NPOXoeBMSOqgkEyIhIhrvIYKxLzgUJxo/Mfi4lAcXIs4w5UBg9eAy4+9HAMLB3bo9oZkDcG/e/wbT+97Gmtq1uCxtY/h/hH3U7CQuGj/fsE1nAHA5XIJpehqamqwe/duoYazeI1ztDWcI3lDGW5wDq7jTO22CUksCsmEpChxIA5eQ8wvmxBvCIp1IA73ulqrRaxWq4UAkp+f32Kd6B1Fd+A27raYzVb31PbELcW34NnyZ/Hj/h/RTd8N/xrwr5hcN5G+1mo480s1Dh8+jB07doBl2YDmJ6FqOLemI6+/SIOzeKaZgjMh8UEhmZAUEByI+RlicSAGjp4YFQpFQk6IwQGWL9Ul7lbH1yLmm3Pk5OTAaDSGVYtYzsiBGN6NY03H4s6hd+LxdY9jXe06+FgfFDI6zElRImok8zWc8/LyhNsMp4az2WyGVqsNGWhjPUbxf8W3EVySEaDgTEis0dmDkATjA3HwGmL+pMef+BIdiENpamoKmCHmd+/zgTgVaxGfU3wODEoDTsg/gQKyxCX6ORVuDWebzSa8MeRDs9frTcj4gv9fPNvMH0PElwte30zBmZDw0RmEkDgL3lQnLg0lngkSn8wSTfzRMx+K/X4/tm7dKiyZKCwshMlkajGDFo33dryHz/d8jvNLzse0ftNich/EYzqp20kxuc54ivdMKYmNUDWcWZYNKEXH13CWyWRYu3ZtQFWNeHd3bG+ZBn/sCRWcg+s4E0ICUUgmJIZCBWKr1Yr6+noUFhYKszz8CQpI/GwZx3Fwu90BgThULWKHw4EhQ4bAZDLFfAy1zlpUOavg8rtier3BwdPtd+PNrW8iX5+PC3teGNPbIl2XTCYTgjBv9+7dsFgsyMzMFNY4OxyOgBrO/Mxzoms4A6GDs9/vx549e9C7d2/I5XIKzoQEoZBMSJRCbarjZ4j5nzMMA5fLhaqqKhQVFSXlpOPxeAIac1itVvh8vnZrEZeVlcVtTI2eRgCAWWVu55Id8+uBX7Fg1wJo5BqMyhmFQkNhXG+PxI7UZtoZhoFKpUJxcbHwPXENZ6vV2qKGMx+a413DmR+f+L/8+CoqKlBaWtpixlm8PIOCM+mqKCQTEobgTXWhSq/xJxC+7ip/Mgn+dzwF1yK2Wq1wu93Q6XTNZdcyMsKuRRzP8Tp9TgCATqGL2XWGGu8ZPc7Ad3u/w7radfjv+v/iheNfoJO8hEjtbxU83rZqOFutVlgsFlRUVAg1nMVrnGNdw7ktcrk85Bpnv98fcDlqt026GgrJhARpLxCLZ1rCDcDxmBVrrxax2WxGYWEhjEZj1LNU8ZrN83PNJ18ZE3k92kjIGBnuGX4Prvj5CqyrWYdfD/6KUwtPjettkq4p3NdKazWc+RnneNRwjkR7SzX4Y6L48hScSWdFIZl0acHr8/iv4PJKkQTiYLE4WfC1iMUzxE1NTe3WIu6IeJ7kOByp4BHjkBwqqBToCzC171S8ue1NvLDxBRyXd1xMZ7CjkazNmcm67a4i2seWr+Gck5MDID41nEMJ9zlBwZl0VRSSSZcRSSCOZakkhmEimpEV1yIWN+eIthZxR0h9Jpk3pc8UfLf3OxxqOoR3t7+LGcfMSMjtkugFlzJLdbEcb2s1nJuamoSKGq3VcDaZTNDpdGGNpSNjDjc487dBwZlIEYVk0inxgVjcmIMPxPzP4xGI2xpPa993OBwtahHzZadMJhOKi4uFUlKJPKHE87ZytDnoaeoJo9IYs+tsa7xquRq3Dr4Vd626C5/u+RRX9b0KBqUhZrdNSLwxDAO9Xg+9Xt9qDeeKigpYrVbI5fIWFTVC1TKP9ZvgcIKzuHNgcHBOVsUfQlpDIZlIXqoF4mD8THKoWsR2ux0AhE07saxFHAvxmkn+v+H/F5frbcvx+cfj5kE345Rup1BAJjGXjGoc7dVwtlqtKCsrg91uh1KpDAjNZrM5IbP17QVnPjTzl6HgTFIJhWQiKcGBOHhTXbIDsXicfC3i2tpaeDweLFu2DH6/XzipFRQUwGg0dmhNIQnUVlBhGAZX9L4igaMhHSG1EnBAagS5UDWc+XrtfHCurKyEw+GAWq0Gy7IoKysTfifeNZwBCs5EOigkk5TFh14+DDudTrAsC7lcDpZlAw604lCcDG63u0XpNb4WsUajgUwmw9ChQ6HX6+O+Oz1WIl1LLTV7bXtRZCxK9jBIG6QUglJ5DbVcLkd6ejrS09OF7/l8PlRWVmLr1q2w2Ww4cOCAUMM5eI1zvGs4A+EHZ/7nXq8XCoUCKpWK2m2TuKGQTFKCOBCLm3Pws8YAsG3bNphMJvTo0QMKhSJpB0S+QYA4FLdVi5ifwTEaY7f+NhHi+fjO3z4fP+z7ARf0vACXll4ak+sMd7wsx+KBvx/Arwd/xasnvorBmYNjcvuESAm/EVgul2PIkCEAUq+Gc3BwFr9p37hxI3JyclBYWCj8XDzTTMGZxAKFZJJwwYGYXzLBV5ngD4T8QY4PxMEftSVCcC1iq9UKl8sFrVYLo9GItLQ0dO/evc1axFI+SMdrJrnR04h99n2oddXG9HrDGa+MkUGnbC4B9862dzDv+HkxHQOJDal9ipHKM8nhiqSGs8FgCChFl8gazjy+lTYvuFIRQMGZdAyFZBJXfOgNXkPcWiBua8lEvD/+b6sWMV96jV9HHOm6Pamd8IH4hnu9Qg8AaPI2xe022jKt7zR8t/c7/FX9F7ZZtqF/ev+kjIO0TUphRoqv8XCCfagazi6XS6io0VoNZ5PJBIPBELe/oXj/CS94xpk/9wTfz+D1zRScSWsoJJOYCt5UJ66VKX6HLz5IhSuWIZllWdjt9oAlE/GqRSzltb3xGjdfXcLutcfsOiN5nAv0BTit+2n4Yd8PeH/H+3hszGMxGwchUhHN7DfDMNBqtdBqta3WcD5w4ACsVisACMs0+P+GW8O5I2Nvb30zf44KFZyD6ziTro1CMolaW4EYOHoQ4w88QMdmhqINm3wt4uDSa3K5PCG1iOlA21I8QnKkrupzFX7Y9wOWHFqCcms5SkwlSRsLaUmKbyyl9lqP1RKR9mo4W61W7N27N6CGs3iNc6gazrEee6TBua0GKKTroJBMwhJqU11bM8T8v2MpnJAcqhaxzWYDwzDC5pPu3bsnvBYxnfADxSskR/I4l5hKMKFgApYcWoL3d76P+0fcH9OxtCfRzwl6DsYXx3GSqVyTCOIazrxIaji39wleLAJ+e8GZP++JLxdqmYaUnqckMhSSSQvBm+qCaxGLDxj8DudEHCSCb4NfGycOwzabDSzLwmAwpEwtYlpu0ZIQkn3Jm0kGgKl9p2LJoSVYXbUaLp8LGoUmqeMhJJESvdkwkhrOGo0mIDibTCaoVKq4j7294Oz3+1tcntptd14Ukru4VA3EofAf3+3Zs6dFLWKTyYScnByUlpamXC1iqR4s4zluk8qEPF0esjXZ7V84TNGMt196Pzw19imMyBkBtbxja89J1ybF6hapMObWajjzwZlf4xxcw9nr9QrlQeMtnOAsDs8UnDsPCsldSHCVCf4ruGxOKuz4ba0WsUKhgEKhQGZmZkAt4lRHM8mB+qT1wWdnfBaX647UuPxxyR4CCUFqrxmpjRdI3TErFApkZGQgIyND+J7H4xGCs8Vigcvlwj///IPdu3cHlKJLVg1ngIJzZ0QhuZMKFYjdbjf27duHoqLmLmOpEoj5WsTiUByqFnFNTQ0AoE+fPkkZZ7TEZYmkdECU0lh5HTnpsxyLOlcdsrWxm91uTTIfWyn9XaU0VkB645XSMUmlUiErKwtZWVkAgGXLlqFXr15QKBRobGxEbW0tysrK4PV6A2o489WKEvHpYrjB2eFwoK6uDkVFRRScUxyF5E6AD8Tixhz8DDH/c4Zh4PP5sG/fPvTs2TNpyxHEtYj5UBxuLeL6+nqhNamUSPmAl6ozTbG2q2EX7vv7PsgZOT449QNJ/81Ickj1tSLV5zrHcVCr1cjMzGy1hnNlZWWLGs78co141nAWCxWcnU4n9u/fjx49egjnbP4ywTPO8doIT8JDIVliggOxuDkH//PWZogTtX6L114tYpPJhNzc3BYbMtoixRMRzSSHdtuK23DQcRBPjn0SRcaiDl9fR8abr89HrasWTb4mrK5ejVG5ozo8HtIxUn6tS4XUjkliocYeTg3ngwcPYtu2bQAgnIf4WedY1XAOh7gSFD9O/r/iySAKzslFITmFtRaIxWXXAIQMxKGIw1qssSyLpqamNmsRl5SUCM05onlxS7lKBCDNk348x3zQcRD77ftR766PSUgGoh+vQWnAWUVnYXHZYiwuW0whOUVIKQRI9fUtpcdYLNyxh6rhzHEc7HZ73Go4RzP29pZqUHBODgrJKUJck5GvRcwHYpZlQxY4j/TFEKuQ3FYtYr4uZo8ePWA0GmNai1iqIVmqB614j9usMmM/9qPR3RjX2wnX5J6TsbhsMf6s/BPVTdXI0eUke0hEYqT6WpeijgR88bmKx9dw5jcHims4i0NzODWcYzX2cIMz/3NxYE72XqPOgkJyEgQHYvGSCX5JhHgBv0KhiMkTPZplF+3VIjaZTCgoKIDJZIr7R1VSD8lSHHs8x5ymSgMANHga4nYbkSgyFmFo1lCsr12Pb/Z+g2v7X5vsIREJkerrW6ohKtZjF9dw7t69O4DmPTR88xN+jbPD4YBarQ4IzZEsGQQQMPEVqeDgLH7eBVeq4u8XBefoUUiOM85WCa5iObi6PUDjfnBNDYCrAXDbwADwDL0O3t6Tmp/AtkPQbngbnLEb2PQSsGkl4MzdAZmynVsJTzhhze12t5ghTpVaxFINyTypjT3uM8nq5oYCsZpJjsV4zy0+F+tr1+Priq8xrd80yJnUKC/o9XqFj4ZtNpvQoSwtLQ0mk0kSZRAjJbXXCyC9mWQKyW2Ty+VIS0tDWlqa8L3gGs4HDx5EU1MTtFptQGg2m81QKEJHrFiOXXw9FJxjj0JyLFkqwO7+FWzBCPiz+jXXSCz7E7ovrmv1V5SueuBIFQe5dR/Ua98I+DknV4PNHQR//jB4+50LNm9I1MMLfgF5PJ4Wpdc8Hg/0ej2MRiOysrJQUlKSMrWIpfoiluq4AenNJHd0vBO6TcCz/zyLKmcV1tWsw8ickTEaWfj4Da/iLmTiRgqZmZngOA4WiwXl5eXwer1CqcS0tLSEb0CKJyndBykGTimOmZessbdXw7mhoQF79+6Fy+WCXq9v0TVQLpfHvYV5W8GZX8IZ/PjxgZnabQeikNwBrN8Pdv/fwObPICv7FTJLGWQA3GNug3PULACA3FQMX8FIsGlF4EyF4LTp4NRmQGUAGAb+rH5Hr8+QB8/wG8FY90Nm2QNZQwUYnwvyQ2sgP7QGbEapEJKZpjowzjqwmeHVDOZrEQPAjh074HA4hFrEJpMJaWlp6NGjBwwGQ6vvfpNNqjPJUl5uEU/CTLInNdYkA4BarsacY+cgR5uDoVlD4357HMcJn96IZ4plMpmw8z4vLw8mk0koicgwjPD//P4A8cnZarVCoVAIgZn/LyGdSSoF/OAazkDzp7L8bHNdXR327Nkj1HCWy+XCp0OpUsOZX/pJwTlQaqahFCQuBO6310K++jUotn0OReO+o5eRKeDPHw4uo+ToOuLs3nBe/nno63S54K+tA3t4G1irDazNCpv1GHDOnuAwDjD4AEcdmIaDkDkqwS4/DGxeCEalgqJqDTRln4DJKQZ7zOnghl4AJr8UjEwmrKMSzxLztYgBQKfToXv37iFrEacyqYZkntTGHu/HO0uThVxtLgwKQ9xuIxpn9DgjbtfNv1mtrq6Gy+XCihUrhBNnNOv7GYaBTqeDTqdDfn4+gOaZaKvVioaGBuHjYH4mGgD279+PtLQ0GAyGlGrfLnVSe30DqRU0I5XqY1er1cjJyQlZw3n//v1wOBxYvXo1/H5/wExzsms4txWcQ1XV6OzBmUJyCMFVJvhwvH//fmi1WmQY1Ehb9zZkHhs4pQ7e0jPg730mfD2OB9TNu2X5pwxrtcK7Zw+8e8rhKy+Hr/Iw/JVV8FdVgbVYIhxZedC/MwHYgE8/BfApIAfYNDOc6dlgszIhz8uHvrgY2f37wTx4MNQ6Hf744w8UFBRAr9d37EFKAqmGZKkeQOI97jN6nBHTQJpqj7O4PivfPMdut0OtVkOj0UAul+OYY46JeRtdmUzWYh2lx+NBdXU1Nm/ejKqqKuzYsQMAhE+R+BlnjUYTs3F0VKqHoFCkNl4pPsY8qY1dXMPZ5XJBoVBgyJAhQunUVKnh3F5w5sNzeXk5TCYTsrKyAtY4d7bg3OVDcnCVieBaxAw4KMt+grb8V9i6XdP8UWduLjwn3gdOqYOv9HRA2TxD47dY4Pl7GTybN8OzZSu8ZWVga2sTd2f8gKyuEfq6RmD3buHbHgA1SiWUxcXIMRrhLNsDxYjhUPXrByaCHbnJJvWQLMWxS23MsRpvvase83fMx66GXXh5/MthHfD5dYn8CY+vAsN3+iouLobJZIJGo0FdXR127doVEGTjSaVSITMzEwAwYsQIAIDD4UBDQwMaGhpQVlYGm80GjUYjBObOvCkwHqT2WgGkOWae1EKymLjpF1/Dmf8kiOM4OBwOYanG3r17A5ZgiatqxKOGcyihgnN9fT1UKpWQoYIv31nabXfZkPzBBx9AoVDgzDPPbLGInWEYyGUyKMp+gnrls5DXbAUAZGiPhdc0AQDgHXwFfJWVcH//K9xr1sC9cSP8Bw+Gd+MyGeTZ2ZDn5UGenQ2Z2QyZyQiZ0QSZyQhGrwfkCrh9Pjg9bjS53XA6HHBarZD5/NApFNAwDDQ+L5QuN2R2O7jqA2AP7oGvzgbWG+IjVK8X3l27YATgWrcOLgBQKqHq1xeqY46BetgwqEeMgMyQWh99B5PqQV2KAV+KB7RYUcvV+Kr8K3hYD7Y3bEf/9P4BP29vc112dnbSqsC0h/+7GgwGGAwGFBYWAmheCsKfmENtCuTDc6JmtKT2egGk95qRatAMrtYgNW097gzDCK/Nbt26ATh6vOFfn63VcObfhCfqPrTVNZCfdBTfL5lMBoVCkXLHxLZ02ZC8YsUKyOVynHHGGS1KoDD1e6D57T4o9v4BAOBUBniGXQe7sifUf/8Ny4cfwr16DXz797d5GzKzGYqePaHs2RPKniVQlJRA0b0H5FmZYESb44JrEfPriDmlAob05tmcrCNd69o7QXFN9YClFl47B//BQ/Bu/wfcik/hakqD93AtIH7H5/XCs2kzPJs2w/7hR4BcDtWAAVCPGQ3N6NFQDRwYMM5kk2LQFJPi2OM5ZqfPiVuW34JGdyM+OPUDqOSp86mGXqnH+ILx+OXAL/hh3w8o1hQHzBLb7XahrmqozXVSpFAokJmZKcw488clfrZ5//792LJli9CVTByc43W/pRSCpBo4pThmqYfkSOskizfytlbDuaqqSljOFVyKLpIazuGKpmug3++X3CdTqZOAEkypVMLj8QT+wTgOyk0LoP7tATB+Nzi5Gu4h18HqORZN3/4J3dL/A+N2wxHi+hi1Gsr+/aAaeAxUxwyE6phBkOfmhHwhuN1uWC2WFrWIDQYDjEYj8vLy0Lt376hmoRhdBqDLgAoA+vZFGrMEKmfzWmZP0alY3TQS+TIz5LvL4Nm0Cb59Rzcewu+HZ9MmeDZtgu2NNyFLS4Nm/AnQnnQSNCNHgulgl6GOknJIlurBPJ7UcjW2W7bDz/nR6GlEtja7Q9cXq+cHv7luqHoofsEv+G7PdxhUNwhmY/NJp1u3bjCbzTHtJpmKxGsoxZsCbTabEJwPHTqEpqYmodQVv0yDNgVKg1SDvdRDciwe93jVcA4Xy7JhvcbFwTmSRmaposuGZJVKBbvdHvhNnwuq1a+C8bvhyjoO9fbRsD+9BP6qLwAc3YwHAFAooBp0DDQjR0E9amSrs67h1CLu2bMn9Hp9XN5hucfOAQAoN7wL1d5fMJb5HbZB10B22d2AQgN/QwM8/2yEe/XfcP31N3wVFcLvsg0NaPrqazR99TUYnQ6aceOgO/00aMaNA5OEGTOph2SpjT3eJyAZI4NRZUSDuwEN7oYOh+RotLW5rsRYArPCjEZfI1R9VRjZLXY1k6V6chd3JSsqKgLQfIzjK2lUVVVh586dYFm2xWxzKm0KjAepvb4BCsnJEq86yaFqOPOl5sKt4RzJfYjk8ef3eUlNlw3JSqVS6Ht+9JtaOCY8A9tbr6Hx812A++OAH3MGA/zDhyP3vHOb1+9qtQE/59/FiUNx0msRa9LgPukheAdfBfUfc6Eo/w3mjW+C3f8bXKc/BRSOhvbE8dCeOL75PlRWwf3333CtWAHXn3+Cc7ma73tTE5w//wznzz9DZjZDe/rp0E86C8oBAxJ2oJJi0BST4tjjPeYMdQYa3A2wuCOt9NJSJJvrxKGY4zjho8zi4mKYzWahXOIZOAMf7/4YPx/4GeO7je/wGDsjlUrVotRVqE2BarU6oOGJ2Wxu86QsxQAntfFKVWcIyYkau1KpbLWGs9VqbVHDWRyc26rhHO5MstR12ZCsUqng9XoBjoWsvgxsZm84V/wJy8MPg62rO3pBhoHm+OOhnzwZB7MywTIMtH36wO/3o6GhoUUtYo1GA+OR9cPdunVLmVrEbGYpnBe+hz3fPY+BFe9AYdkDxc5v4S8cHXA5RV4uFOeeA/2554BzueD66284f/8druXLwDZam6+rsRGOTz6B45NPoCgqgv7cc6A791zI47xTX6oHRECaY0/EmDM1mdhj3YM6d137F46QeLMLH4xdLpewuS6cFutndG8OycsOL4PNY4NRZYz5ODsb8cYj8aZAvnazxWJBRUUFPB6PUPmDD856vV6SrxVAmqFeimMGpB+SI12THGut1XDmj5NVVVXYtWsXfD5fi1J0/PFSqs+dSHXZkKxUKuH1eqFa/QqUK57B4dqJsP609ugFVCoYLpoMw6WXQpaXB7vdDvuePXA6nfjrr7/gcDigUqlgMpmEdcRGozEuC+RjqTZrDA4OORt5uz+EZ8zsoz/gOCB4Eb5GI8wycz4f3H+vhuO7b+Fc8gfgdgMAfHv3ovGFF9H42uvQnXYqDBdfHLfZZSnPJEt17ImYSQaaS651BMdx8Hq9cDqd2LVrV8w21/VJ64OROSPR29wbPs7X/i+QkII/BhY3Vgi1KdBsNoNl2eaJDBI3Ug06Ug/J8W5LHSnx/oPc3FwAgd08g2s4G41GuFwu1NfXQ6vVJqziTTJ06ZBs4qxQrpiHypU6WMuPBmTF6FHwX389qjQa7Dp4EPYdOyCXy6FQKKBQKFBSUgKTyQSVSiW5JwbDMPArjfCM/7+j32T90H4+Db4ex8M74gaAafniZRQKaI4bC81xY8Ha7XD+9hsc334Hz7p1zRfweND07Xdo+vY7KPv3g+HSS6E7/fSYrl2WatDkSW3siXi8MzXNlRTq3ZGFZH5znXjZhMfjgUKhgMlkQmFhIUwmU4c31zEMg+eOfy7q3yehiU/KeXl5AAI3BTY2NoJlWfz999/Q6XQByzQS1cY3UlIMnFIcM9A5QnKqjz1UN09xDeetW7eiuroaFRUVLWo4t3bsTfX7HEqXDskX5lSgdoMSjeXNzUA4mQy1554L67jjYPT7YZLL0aNHD6H2YEVFBZxOJ7KzE7/BKFZCBR/F7h+gqFjS/LV3GVxnvQBOl9HKNQAygwH6c8+F/txz4du/H/ZPP4Pj66/BWZuXY3i3bYflwYdgffkVGKZcAf3550N2pCVurMcuFVI8OCRCjjYHudpcaOStb+riD8zitcQOh0ModcSv9ed/1rdv3wTeAxIr4k2BAFBVVYURI0bA5/OhoaGhxaZAcTWNVNgUKNVjkxR1hpCcim/02iNeSrVjxw4MGjQIRqMxoIbznj17YLPZoFAoAhqfGI1GqNVqyf3NukxI5jgO5eXlWLNmDVavXo0fv/kCv55gQe225sXsHMNAfsft6HPmma1+dCCTySRZwkQsVBkWX++z4DrtCah/fxCKvX9At+AsOM99A2zuoHavT9G9O9Jm3wrT9Bvh/Okn2D9ZDO/27QAAf3U1Guf9D9a33obhootguOxSyNPTOzR2qZ6IpDj2RIz5ktJLcEnpJQHfa29zXc+ePWEymYTNdTybzRa3cfpYH9bWrIVKpsLQ7KFxux0SSKlUIj09XZiYEG8K5JsqhNoUaDKZErc5WkRqAUAKM5qhSHXcPKmPHzh6HyKp4VxUVITBgwcneeSR6RIh+aGHHsILL7wAq9WKwYMHY8SIEZgyvhccW3YCXPMT1TxjOkwXXdTm9Ugx6AQLeR8YBt7BU+AvGA7tl9dB1rAXuo/Oh+u0J+Ab0PZjwpNpNNCfey5055wDzz//wPbe+3AtWwYA4KxW2N5+G/YFC6C/5GIYp06NepOflB9/KY89XviP2MWNOvjNdWazOazNdWLxeowXlS3Ci5texIjsERSSk6i9TYENDQ3CpkCDwRAQnKW8KTBepBrWpDpuXrI37sVCW9UtQtVw9nq9LSuKSUDM5/tfeeUVDB48WHhnMXbsWHz//ffCz10uF2bOnInMzEwYDAZMnjwZVVVVAdexb98+TJo0CTqdDjk5ObjjjjtaPLhLlizBsGHDoFarUVpaivnz57c6prPPPhvff/89rFYr1qxZg1dffRWnZWvhrG2eiVKUlMB41VXt3jd+R6eUtRX02ax+cEz5Fr6Sk8H43NB+PxuqlfMivn71kCHIevYZ5H70IXSTzgKOlHni3G7Y3/8Aleedj8ZXXgUb4cyflB9/Kb7BivVBnN8IUllZiZ07d2LNmjX4448/sHHjRtTX10On06Ffv3444YQTMGbMGPTv31+oEJPsjyZPLDgRALCuZl2HNxkmi9Sef+GOl98U2LNnTwwdOhQTJkzA+PHj0atXL8jlcuzfvx9//vknfv31V6xevRq7du1CTU0NPB5PzMcrteAjtecET4qPtZhUl1uIRfo3UCgULT79k4KYzyQXFhbiv//9L3r37g2O4/Duu+/ivPPOw/r16zFw4EDMmTMH3377LT755BOYzWbcfPPNuPDCC7FixQoAzdP0kyZNQl5eHv78808cPnwYU6dOhVKpxGOPPQYAKC8vx6RJkzB9+nQsWLAAv/76K/71r38hPz8fEydObDGm4cOHt/iesewA+NhtuPjisNovS7VjjFi7YU2TBucF86H68xmo1r4JX89To74tZa9eyHjwQZimz4B9wQLYP/sM8HjANTU1zywvWgTjlVNguOKKFjWnWyPVg7pUD+gdebz5GT7xLDHfWdJsNqOwsBAKnQL3rLsH9ZX1+GjQR1DIoj8kxfMx7qbvhn5p/bC9YTuWHFqCC3teGLfbIkdF8zdta1MgX03j8OHDaGpqEjYF8uubO/KGTIrHJqmGTamOmyf18QOdYzY8HDEPyeecc07Avx999FG88sorWLVqFQoLC/HWW29h4cKFOPnkkwEA77zzDvr3749Vq1ZhzJgx+Omnn7B161b88ssvyM3NxZAhQ/Dwww/jrrvuwoMPPgiVSoVXX30VJSUleOaZZwAA/fv3x/LlyzFv3ryQITkUu9UMDZo77mmOHxfW70hxNjBYWPeBkcEz7g54h14DTne0ADlYPyCLvCugIi8Xaf++DcarroT17Xfg+PJLwOcDZ7fD+uprsH/6GcwzZkA36SwwbZygpPz4S3HskXZTCrW5TqPRCI10ioqKYDAYAhpIsByLbZZt8HN+WNyWpHTdC9ephadie8N2/HbgNwrJEiPeFNijRw8AzWvf+dBcU1ODXbt2gWVZ4fnKh2eNRhP2a0GKoUGKY5Z6yOwM4wcg+dnwcMR1TbLf78cnn3wCh8OBsWPHYu3atfB6vTj11KOzk/369UOPHj2wcuVKjBkzBitXrsSgQYOEWn0AMHHiRMyYMQNbtmzB0KFDsXLlyoDr4C8ze/bs8Afn8Df/V6WC/MhsQ3s6w8a9SJYsiAOy7NBaaH68Ha5zXweb2Tuq25bn5CD97rtgnHoVrG+9haZvvwP8frA1NbDMnQv7xx/DPGc2NCFm/gFpBk0xKY69tTHzAUM8UwxAaA7R2ua6YDJGhnR1Ompdtahz1XU4JMfzMT6p8CS8uPlFrK9djzpXnVC+LlpSfD4kUrwfH5VKhezs7BabAvngzO/SV6lUAbPNrW0KlOLfU6phTarj5kl9/HwOopAcpU2bNmHs2LFwuVwwGAz4/PPPMWDAAGzYsEE44Ijl5uaisrISAFBZWRkQkPmf8z9r6zJWqxVOpxPaMD66VxxptywzGiOaJZDigVAsqvvAcdD88TDk9bug++gCNE1eADbv2KjHoCgoQMZ998F41VQ0vvACXEuXAgC8O3agdvoMaE4cj7Rbb4XiyE5Z8dilSopj58cs3lzHB2OXywW9Xi90ruvdu3fUG6MyNZlCSE5l+bp8DEwfiC2WLfj94O+4qFd4m1pTidSeh4kcr3hTYLdu3QA0T/TwO/QbGhqwd+/egE2BfHDW6/UJH28sSPV81hlCppTH35ESfFK733EJyX379sWGDRvQ2NiIxYsXY9q0afjjjz/icVNRk/maN20wsvAPEp0lJEc8G84wcJ73NrRfTIP88HroPrkUzgvmw184pkNjURYXIeuZp+FaswaN8/4H786dAADXH0tRuXIVjNOmwjRtGpgjs5FSfvylMvbgTmherxf79u0TmnSYzWYUFBTEtMSW0HUvwoYiwRJx8D2p8CRssWzBprpNkgzJJDJyuTygUyDQvPmcr6Rx8OBBbN26VfiE7vDhw8LSjlTvvsqTWmgBpB+Spb5xj88QUv4bhCsuIVmlUqG0tBRA86a51atX47nnnsOll14Kj8eDhoaGgNnkqqoqYYNFXl4e/v7774Dr46tfiC8TXBGjqqpK6PISDoWaBWsH2IbGsO+XlKsr8KINa5wuA00XfQjtF9dCsf9PaD+dAue5b8JfclKHx6QZMQLq995F03ffo/Hll8HW1gIeD2xvvImm739A+h13QHPcWMkEzdak4tjFm+v4WWKfzwfjkU9YjEYj+vTpE9G6zEhlaJoDSKrPJAPAGd3PwOic0ehp6pnsoZAk0Wg0yMvLa7EpcN26dfB4PNi+fTscDodQxpBf35wKVVqCSTWsdYaQLPXxA7TcImZYloXb7cbw4cOhVCrx66+/YvLkyQCAHTt2YN++fRg7diwAYOzYsXj00UdRXV2NnJwcAMDPP/8Mk8mEAQMGCJf57rvvAm7j559/Fq4jHJxRD9S5wHn9YB0OyI58XNaWLlHdoi0qA5wXvAvtN9Oh2PMrtF9cC9ekF+HrM6nj45LLoT/nbGhPORnWt96CfcFCwO+H/8AB1N56K7SnnAz1jBkpGTTDkQoHRPGaSz4YizfXZWRkoLi4WNhct3PnTqFSQDxlqqNrTR1KvJ8fGZoMIdST+JLKa52fOVYqlSguLkZOTo6wZr+xsRE1NTXYvXs3/H6/8GmMuFNgMo8NUg1rUh03T+rLLWgmuQP+85//4Mwzz0SPHj1gs9mwcOFCLFmyBD/++CPMZjOuu+463HbbbcjIyIDJZMKsWbMwduxYjBnT/NH96aefjgEDBuCqq67Ck08+icrKStx7772YOXOmsAlo+vTpePHFF3HnnXfi2muvxW+//YZFixbh22+/DXucXG4eUNE8c+XdswfqQe13l5P6TCYQg/ug1MJ57pvQfH8rlDu+gnLLIvh6nwXE6MUi0+mQNmsW9GedBcsTT8Kzfj0AwPnrb3CtXAXTxIngJkyQ5Isz0c8dt9sdMEvMd6QTb65r62PhRD3GOboc5OnyoJN3vHV5IrEcCxkT3UyKFJ+/ySC1x4kfb6hNgU1NTUKnwPLycmFTIB+a+eobiewUKNWwKdVx8zrL+COtgCRFMX81VldXY+rUqTh8+DDMZjMGDx6MH3/8EaeddhoAYN68eZDJZJg8eTLcbjcmTpyIl19+Wfh9uVyOb775BjNmzMDYsWOh1+sxbdo0zJ07V7hMSUkJvv32W8yZMwfPPfccCgsL8eabb4Zd/g0A2N4DIftrCwDAu+WfsEJyZ6huEZOgL1fCddYL8BcMg3fwlTELyGLKXr2Q/dqraPruOzQ+9zxYiwVcUxNyP/8ctfv3I/3e/4PiyOYaKYj3Gyy/3w+73R4wSyzeXJeXl4c+ffpEvLkuEQe2C3teGJOSaok66Ti8Djy14Smsr1mPRRMXQS2XXoF8EnttvVYYhoFer4derw/YFCjuFLhv3z64XC7hTSw/20ydAlvqDCFTyksVpD4THomYh+S33nqrzZ9rNBq89NJLeOmll1q9TFFRUYvlFMEmTJiA9UdmGaMh638sgEUAAO+aFcBlV7b7OzSTLCKTwzvsX0f/zXFgLHvAZfTq+HUfwTAM9JMmQXvCCWh4/nk0ffkVAMC9Zg2qLr8C5ptnQn/RRW3WVk4VsXzu8J3rxLPEdrsdCoUCZrMZJpMpJpvrpPh8T8R4dQod/qn9BzWuGqypXoNx+eHVWSfh68ju+WSKZLxyuRzp6elIT08XvsdvCmxsbAzYFCiebU5LS4vZpkCphk2pjpvXGcYv5ZAficR9rpNiFAP6w82wkHMyuDZsCetJ2xk27sVlNpzjoP7jESg3zG+uelF0QkyvXmYyIePee6E8cQJq586FsqEBnNOJhqeeRtMvvyDjvvtalIvrTPjNdeJZYn5znclkQvfu3SNuehAuqT/f44FhGJyQfwIW71mMpYeWUkgmAGLzWgm1KdButwuzzZWVlTHdFCjVsCbVcfOkPv5oZ5IjXaKRCrpsSFbr9dglc6HEr4O/0QVfeTmUPdvesd7lN+61hvODaagA43dD+8U1aLr4Y7AFoRuCdIRmzGjsnTMbgzb8A+fnnwMAPOs3oGrKlUi7/d/QnXNOyr4Aw33cWZYVOtcFb64zm83C5rpU3CkfLR/rw8ylM1HtrMa7p7wLk8qU7CG1a3zBeCzesxjLKpfhTu5OyJnIO1GSzifWxx+ZTAaTyQSTySR0CvR6vcJsc0c3BUr1TXBXDZmpgmaSuwCVSoUf6+2Ybm7eLORa9VdYIVmqBxVeXIK+TAHX2S+D+fI6KCqWQPf5VDRd9jnYzD4xvRmGYcBqNDDdcTv0p50KyyOPwn/oEDinE5aHH4FrxZ9Iv+c/kJnNMb3dWGjtucNvruNnifnNdfyJsVevXjCZTEmpuZqog7hCpsBe+15YPVbUOGuiDsmJfH0OyRoCo9KIBncDttRvweDMwQm53a5CisfZRI1ZqVSGtSlQqVQGLNEItSlQqmFTis8PMamHTKk+b6LRpUPyd/V2TDc3l5lzLV8O4xWXt/k7nWG5RdyChEIN57mvQ/fJZZAfXgft4ilouvxLcKaCmN2E+EWpGTkSuR8uRMOzzwprlZ2//QbP5s1If/ABaEaOjNntxgrLskJZKD4Yu93uDm+ui6dEPd+zNdnNIdlVg17m2K1rjxeFTIHj8o7Dj/t/xNJDS6MKyVI/liRCqrwOwpWM8ba3KbCxsRH79+8XOuDyM81ms1myYYdCZnKxLCvpxz8SXTYkK5VK7PZ4gLxcoLIK7rVr4bdYIBdtogjGB0wpP8HjOtum1KHpgneh++gCyOt3Q/vZlWi69FNA2/pjGgn+MRcKmet0yLj3XmiPGwfLY4+CbbTCX12N2ptmwnDllTDfNAOMUhmT245U8OY6q9UKi8UCpVIZ08118ZTImdkcbQ7KrGWoddYm5PZiYXzBeCEkzzxmZsofEyiUx1cqnRda2xTId9I8ePAgtm3bJjRC8Xq9QniWQqdAqT+XU+m5Eo2OrEmWmtQ8OycAX3OZGT0C3JffAiwL52+/wXCkyUko4pAmxT82kIDgo02Hc/IC6D48D7K6XVDs/zMmzUaAliFZuMmTT4LqmIGof2gu3Ee6Ndo/+ACeDRuQ8fhjUBzZBBNPXq83IBCLN9eZzWZotVpkZ2ejuLhYss+deMrSZgEAqp3VUV9Hoh/X0bmjMTB9IEbljoKf80PBdNnDKZEAjUYDjUaD3NxcAM1BZ/Xq1VCpVHC73dixYwccDge0Wm3AMg2TyZRys4Y0k5xcUn/8I9Flj+pyefNGG9/oUZB/2dyExPnDN22GZP5JIeV3sYmYHeRM3eCcvAAyS1lzo5EYaS0kA4A8JwdZLzwP+4cfovGllwGvF57Nm1F95ZVIf+ghaMfFrgKBeHMdv3SiqakpYHNdSUkJDAaD8JzZuHEjlEqlpA6MiZxJztY0r6+scdZ06HoS+drUKXR446Q3EnZ7XYkUS8BJ7bwgk8mgVCqRkZGBoqIiAM1v9vnZ5rq6OpSVlcHn88FkMgUs09BqtUnvFChlnWHjnpTHH4kuG5IZhoFKpYK3uBSaNCW8DV64/9kKf20t5FlZrf4O0PwE50O21CQq+LBZfcFm9T36DZ8bUHS86UJb42dkMhinTIF62DDU3f0f+A8dAttoRd3sOTBefTVMN94AJoqlDcGb66xWKxiGETbXlZaWhrW5TuoH9njK0TbvDahxdSwkE5JMUgsOwWFHqVQiKysLWUfOgfymQD44R7IpMN7jlvJMptRDJq1J7iKUSiU8Xi90Y49B4/frAY5D048/wjhlSsjLtzWTKRXJ2HzINO6D9vNr4BlxA3zHXNqx6woj5Kv690fu+++hfu5cuP5YCgCwzZ8P98aNyHz0kVbfBAHNG15sNltAow632w2DwdChzXVSrIySyIN4ni4Pebo8pKnSEnabseLwOrCmZg1G5oyETpHarbWlfGJOdVIMPu2NWbwpsKCgeRN2e5sC+eBsMBji9nhI7VgarKuGfKm9PoAIQ7IUDwKtYRgGSqUSXq8X2kv/hcbvZwIAmr76EoYrrgh5PzvLcotE13pWbv8K8rod0Px8N5zmHvB3Hxv1dYUbNmUmEzKfegr2hQvR+MKLgN8Pz7p1qJpyJTKffALqY48VNteJZ4jtdjuUSqUwS9ytWzcYjcYOz5JI9XWTqOf6qNxR+OyMzzp0Hcl6jK9fcj0qbBX475j/YnzB+KSMobOR8jFWSqI5p7e3KfDw4cPYvn07AATUbTabzcJeoFiMW6ohU+qb/4EuOpP8+uuv4/TTT0dxcXHIC7rdbrz22mu45ZZbEjW2uFMqlfB4PFAcOxKafCVch73w7qmAd+dOqPr2bXF58XILqUrGjKZn1EzIarZCueMraL+6Ho4rvgKX3nZN6raEO36GYWCcMgWqYwah/p574K+uBltfj+obp8NxxRWoHnIsWJaFwWCA2WxGjx49YDKZ4tK5LpJxpwopHsST8RiPyBmBClsF/qz8k0JyjEnpOSj14NMRoTYFOhwOoVPgzp07YbfbodVqA4JztJsCpXYsFZPievtgXem5LoTkm266CWlpaVi4cCFOOeWUFmtum5qaMHv2bEyfPl0SJWLCwc8kA4B+wki4PvwTAND09TchQzIg/VrJSfnYn2HgmvgMZNYDzTWUP78GTVO+AdTGKK4q8s51jUoF7HNmI+3Nt6ArKwPj98Pw/vtIb7Ag6667II/R7EYsxp1qpDjmRDsu9zgsLluMlZUru9TJg0hfvJ6vMpkMRqMRRqMR3bt3B3B0U2BjY2PITYF8eA53U6BUX2dCCVMJz8R2pZlk4V6q1WqcfPLJuOCCC/Dkk08Knb94SqUyIFR2BuL7o7n0RjCy5idv0w8/gPN4Qv6O1FtTJy2sKbVwnvcWWGMB5JYyaL6fDXCRP45tda6rrq7G7t27sW7dOixduhTr1q1DdXU1NBoNeg4ZgqK334Lh8suE3/F+/Q3qbr4Z/rq6jtyzsMctNYke831/3YcLvr8Am+o2RfX7yXqMh2YPhVquRo2rBmXWsrB+R4rPB9I2Kb5BSuSY+U2BvXr1wvDhw3HyySfjhBNOQFFRETiOw969e7Fs2TL8/vvvWLt2LcrKylBXVwefz9fiuqRcHYJmkqVFwd9Zr9eLp556CpdddhmuvfZarFmzBv/73/+Ed4EymQx+v7/ThGShusWR+8N06w/NKafB+fMvYBsb4VyyBLrTTw/5e1KeXUvm+Dl9dnNXvo8mQ1n2I/xrXod35PSIroNhGPj9fjQ0NARUnAjeXNe3b1/odLoWL2T1bbdB2bcvLI89Dng88Gz4B9VTpyHzqSehGjAglne3BSk+bxI55jp3HaqcVahsqsSgzEEJu92OUsvVGJE9AisqV+DPyj9Rai5N9pAkT4pBgl7fkWEYBjqdDjqdrsWmQH59c2ubAikkJ1c0j78UXx+AaLmFQqGAxWLBhRdeiEGDBuGiiy7CqaeeirfeegvHH3881Go1ZDIZPK3MsEoRvyaZp588Gc6ffwEA2D/9jEJyHLB5Q+A65VGoNi2Ar9+57V4+eHOd1+vF+vXroVKpYDKZYDabUVhYGNHmOv2kSVAWl6Duzjvhr66Gv7oaNTfciIyH50J70kkdvYshJftxj0aiD+JCreQOlIFL1mM8Nm8sVlSuwMrKlZjad2pSxkCST2rBJ9VmBENtCnS73cLaZn5TIMuyUCqV2LlzpxCcY7UpMN46Q0iOduOkFO+zMJPMzxQDQO/evbFmzRpMmzYNkyZNwlNPPYXLL78ccrm808wkA80hWfxRjnrYMCiKiuDbuxeedevgraiAMmgjI61J7jjfoMvgG3gRIGsZasWd6/hgzLIsjEaj0MK5T58+yMnJ6dALTjVwAHLenY+6u+6GZ+NGcG436u66G+ZbboFhSujqJh0hxYMDkNjQma2NTUORZBib21yxZVPdJtg8NhhVka+3JyQZUv3YpFarkZubK2wK5DgOW7Zsgd1uh8fjwa5du1psCjSbzTCZTCnZz4Bfrpnqj3tbutKa5ICZZPGsqkKhwMKFC/Hkk09izpw52Lx5M9xud8j1QVIVPJPMMAzSentQu7f5347PPkPabbcF/I7U1ySnTMiXKYTNdb5t36NK0wsNTV40NTVBq9XCZDIhKysLPXv2DOhcV1tbC5VKFZMDjDwrC9mvvAzLw4+g6YcfAI5D43PPwbd/H9LuuCOqxiOtSYU3J5FK9EE8V9d8Eqxqqorq95N50snX5+Pe4fdicObglA3IUnr+SWmsvFSblQ2HFMfMl281Go0YOHAgAMDn8wV0CtyzZw+8Xq/waSNfTSPZnQKBzjOTLOXxR0JIAcFLKfi1n3feeSeGDh2KWbNmJWWA8SRek8zTnzYedb99BI5l4Pj2O5hvugmMRiP8PGVCZpSSGfJdLlfALLHNZkNp1bfof+BDGLqfjsaTnoDJbG6zekqswyajUiF97kNQ9OgO6+vNLYYdn30O36HDyHz8McgMhpjdlhSfN4kcc542DwBQ2VSZsNuMpbOKYteCnTST0olYqq9vKT3GvOBxKxQKZGZmIjMzU/i50+kUGp7s3bsXmzZtgkKhCKjbbDaboVQqkzJ2KT7uPCmvCY+UEJIHDBjQIpzI5XL4/X6cdtpp+PnnnzFv3jxoRIFR6oJnkgGAHX4JTD3eQWOFDpzViqZff4V+0iTh51KfSU7UjCbfuU7cqEO8ua6goAAmkwnGeg24TxYhY/9P0FaeDl/2ZW1ebzzGzzAMTNdfD3m3Qlgefhjw+eBetQo119+AzHnPQpGXF5PbkJpEjzlPdyQkO6MPyVIKKlIaKwmPFF/nUhROp8BQmwJtNpuwvvnAgQNwOp1CnXw+PMezUyDQOQJmNGuSpfrGQMHf0eXLl4e8gFwuB8dx6N69O5599tlEji3uQpW048zdYRrVHY0VzWXBHJ993iIkS/nkFo/xcxyHpqamgFlih8MBpVIprA0rLCwMuUaM1Y+BZ9ztUC9/Aprf7kVT/lCwWaFrVMdr/Dz9WWdCkZeLujvvBNtohXf3blRfex2yn38OytKOVSyQ6vMmoTPJujzkanORp8uDj/VBEWLNeqr7puIbrKhcgRkDZ6CHsUdMrpNflsR/nGy1WqFQKIQNTp2xtiy9VhJDyjPJkYY0uVwuBGGe2+1utVOgODjHclOgVB9zMSl3PIxUWGchcae5zvTAtFb3WX7yRVD/+CLcjUp4Nm6EZ9cuqHr3BtA5llt0dPz85jrxLLF4c11xcTFMJhPUanVYBwPPqJmQ718Fxd4/oPl6Opqu/BZQ6lq9fDwff/WwYch+6y3UzbkNvv37wdbUoPqGG5H17DNQDxnSoeuW8vMmEYwqIz4/8/Oofz8VTjw/7f8Ja2rWYFj2sKhDMr++kv+yWq0Ajp64+Zkxi8UifIysUqmQlpYmhOZoO5mlmlT4m0ZCauOVcmCLxbjVajVycnKQk5MDoPnxsNvtwjINflOgRqMJWKbRkU2BnSFg8tVFuoKIpmqk/ocNFmpNMgD4+52LtNKnULW2+Ung+PRTqO6+G0DXW27BsizsdnvALLHT6RR2EofaXBf5oGRwnfUcdO9NhLx+FzS/3gvXGaE/tUjEjKyyqAjZb7+F2tlz4N2yBZzNhpqbZyHz0UehPTG6tsNSnEmW4piTbWTOSKypWYO/q/7Gxb0ubvfyHMfB5XIFhGL+pGw2m5GdnY3evXtDr9cLoYDfuJR3ZBmQ3+9HY2MjLBaL0MnM7/cLM2F8cCbxI9XXiVRDMsuyYZf8jATDMC06BYo3BdbX13d4U6BUH3OxLlknuStqbSaZ02dDf8KxYP4pA+eToenb72CeORMyo1HywaGt8XMcB7fbHTBLbLPZIJPJYDKZYDKZkJubC5PJFPN3kZwuC65JL0D7yWVQblkEz+ApYAuGRzT+WJKnpSH75ZdQd9fdcK9aBbjdqLvzTqTf8x/ozzsv4uuT+vNGKpL9GI/KHYVXtryC9bXr4WW9UMoCXycsy8Jms6GqqgperxcrVqyA1+uF0WiE2WxGcXExzGZzRB/vyuVyZGRkICMjA0DzY+BwOGCxWNDQ0IDt27cLVWNYlsWBAweQnp4estlOqkj23zFaqfp4dkaJeqxb2xTIB+fgTYHiMnShzpOdISR3htnwcLUakt1uN5RKZad+INpqs+0/8d8wbFsI249/gnO54PjqKxinTOlUyy347kbiWWKv1wu9Xi98rGsymRJ2MvV3Pw7uE+4BZ8wPGZCDxx9vMp0OWc8+g/qH5sL5448Ay8LyyKPw11tgvHpap38nnYxgv3DXQizavQhnF52Nfw34V0JvOxZ6m3sjTZ2GBncDNtdvxjHmY1osnZDJZMLM8MCBA2Nez5VhGBgMBhgMBmE2zOPxCGsuDxw4gK1btwqNG/jZ5lSsKyuVMCG11zZPqoEtmZvfxJsC8/PzhfFYrVZhmcbBgwfhdDqh1+sDgrPBYOg0G/ekfh/C1WpIfvrpp3HWWWdh6NChnfYBUalUrXYQ9BeOgu5fObD9+CcAwL7oExguu0yyyy34zXW1tbVgWRZ///13i8113bt3h9FoTOqJsr021YkOboxSiYy5D6ExIx32Dz8CAFhffhlsfT3Mc2aDCfNNJM0kh4flWFQ7q3HQcTDi3032MYrjOLicLhxjOAbL3cvxxbovYFFYoNPpYDabA9qlW61WbN68OaCzWDypVCpkZmZCJpNhzJgxYFlWmAlraGhARUUFvF5viyUaUuliliqS/RyMlJTP7ak0bplM1uamwKqqKuzYsQMAoNPp4PP5UFVVBbPZLMmKYZ1tf1pbWg3JH330EUpKSjp1SG5rJhkAlMXFUI8ZDfeqv+A/dAiuFX+CSTNLIux4vd6AjXX85jq9Xg8AKCoqSvkXKOOogXzfcvj6X3D0e0kIm4xMBvOcOZBlZsL64ksAAPtHH4FtciD9nnvAhPGmQoqvn2Q81rna5oYi0dZKTuR4xWUO+S+/348ipgjLsRwVTAX+7/j/a7Pud7LIZLKA9r/8m+iGhgZYLBZhw5JOpwsIzfEujyVVUm0QIYVzWShSmI1tbVPggQMHcPDgwRabAvk3qKn4iU6waDKhZEvAtfYDlUoFl8uVyLEkXHshGU4L0gf4Ubmq+Z/2jz+GbMb0lDuwiDfX8cHY6XRCp9MJnet69eoFvV4vrIPMzs5O6XeCjKMGundPBeOywGnsBn/hqObvJ/EjNtO0aZCnZ8Dy6KMAy6Lpq6/Bud3IePDBsLrzpdrzJhUJtZJTsKGIx+MRwnBDQwNsNltAc4KioiIYjUYMcA3ARz9+BL1aD5kidV9jYgzDQK/XQ6/Xo1u3bgCa32jzofnw4cPYtm2bMGPGh2az2RyXDVRSDZ1SJNXHWGrj5jcFZmVloa6uDscff3zApkCLxYLy8nJhj4K4mkaq7R+gmWQABQUFnf6jNpVKhaamptYvoNDA7P0NdQYdvHYF3H//Dfl554KNYRe2SLW3uY7/WLe1zXX8Cy3VAxunz4a/5CQoty6G5vtb4Zj6E6BO/sZJ/bnngNFpUX/vfYDfD+ePP6HO7Ubmo4+CSWCnwERIxkGZD8m1rtqIayXHcrz85jfxLDG/xtBsNqNbt24wm80hd7Tn6HLw4zk/QqdovYyhFCiVSmRnZyM7OxvA0U2H/IbAffv2wePxwGg0BqxtTuVPp+JFaq9tnlQ/JZbquIHAsbe3KXDfvn1obGwMe1NgMu5DZ9fqGeiTTz4R/gid9R1DuzPJSi38fSYho/c3qFpvBgCof/0N3JGayYkg3lzHh2Kv1xvQua61k3UoUgnJAOA6+WHID/wFmXU/NL/fD9cZ81IibOpOPRWMWo26u/8DeDxwLfkDtbffgcwnn4CslYAg1QNKoh/rTE0mFIwCPs6HWletEJrjjX+diUMxy7LCG88+ffpEVNVF6gE5FJlMJtRqBo6Wr+ND8549e2Cz2aDRaAJCs/FIVaCuQGr3U6phR6rjBtpeKtLWpkA+OB86dAhNTU0hNwUmKqtFOpPMcVzSz9vRajUkd4XZgHZDMgDvwMkwr1+Emk0msD4GyuXL4ZlyRVzGw68LFK8lttvtUKvVMJlMSEtLQ48ePTq0uU5KIRlqI1xnPgftooug3PIJfCWngGGKUmLs2hNOQNazz6Lu9tvBuVxwr1yJutlzkPnM05AdWfctlgrhPlLJOAnJGBlydDk45DiEyqbKiENyuI+x2+0WdqLztYmVSiXS0tKQkZGBkpKSmJx0bB4bDMrOuY6XYRhotVpotVqhwYnP5xM2A1ZXV2Pnzp0AIHx0zIfn9pZoSO21ItXlIVINm1IdNxB5+TTxpsCioiIAzUu/+ONXVVUVdu7cCY7jhJzAB+d45TgpP/6R6tJ1ktVqdavVLXj+wjFgMgtgLrHBsssAxuOB7LffgcGDO3z7Ho8nYJbYZrMJneuirZnaHkmFZDRXGfGMuhnqv56H5pe7oBrzMjjOnOxhAQA0o0ch64XnUTt7DjiHA+61a1E7axaynn8eshBLcqTymIslY8wD0wciW5MNGRObWRF+w4x4ltjlcsFgMMBsNqN79+7CJtZYHfhZjsXMpTOxqW4TPp74Mbrpu8XkelOdQqFAVlYWsrKyADQ/9jabTVhzeejQITidTmHNZVtttbvKSZhETsohLRZjV6lULTYFOhwO4Q1qWVmZ8KmOuOFJrDYF0prkLkKhUMDn87V9IUYG74DJSD/4Eiy7moOP/McfwN08M6zNWrz2Ntfl5OSgtLQUer0+rk8+qYVkAPCMnQNF+e+QV29C990foCbr3mQPSaAeMgTZL72EmltuAWe1wrNpM2pn3YKsFwKDshQP6Mka80OjHorq9/jx+ny+gJqlfFtnfpYlPz8fJpMpLhvOeDJGBg4cWLBYV7MuJUJyMl7zDMMIjYh69Ghu0+1yuYTQHKqtdnp6esrv7g9GM8mJJdVxA/GpzCGujV5YWAggsL29xWJBRUWFsIdAPNsczaZAKT/+kRLOEvyaka7y7gBovS11MO+AyTD89Tz0BW44Dqkhq62D89dfoZs4MeTl+bV64lliu90urOkzmUxtbq6LJymGZMiVcJ3xDJT/vI992RdAk2JjVw0cgOxXX0HtzJvBWizwbN6M2ltuCZhRluJyCyD1nyfits7V1dVwuVxYunRpQFvn0tLSpJQuG5Y1DBvrNmJtzVqcU3xOQm87lWk0GuTl5bXaVnv37t1gWRYcx2Hnzp3CLFgqltKTOqmGHamOG0jc2ENtCuTfoDY0NGD//v3YsmUL5HJ5wIbAtLS0dnNJNDPJki0Bx//BPvvsM6xfvx433ngjsrKyoNVqkz22uAs3JHMZveDreRrMZj0cr/0NALB9sADa008HwzDw+XxCvVQ+GIs317W1Ez7R+CdqqoefYGz2ALhPfRzs1q0pOXZV797Ifvkl1My4CWxDQ/OM8q2zkfX8c8Ia5VQcd1uS/VxlObbFkgv+Exl+EwvfJdJgMECj0UChUGDUqFEpUZlnWPYwzN8xH+tq1oU8MUrt+RAvodpq19TUYN26dXC5XEJbbYPBELC2OZXKYtFMcmJJddxA8lo6i/cQiDcF8suhgjcFipdpBO/PkPLjHylhJtntduOZZ57BSy+9hJNOOglTpkzBiBEjkJWVJTSg6GzC2bjHc17wDhiOA/vz5ZDt2QPv9u3Y/cUXsHTrJmyu459UHd1cF29S7RoIHJmRZVnIy3+Dv/gkIIVeqMrSUmS99CJqb5oJtrERno0bm4Pyc/+T7AElGUFuu2U77l51N/QKPeZPmB+yrTNfZaGwsFBYZ2exWGCz2VIiIAPAoMxBUMqUqHXVYp99H4qMRckekiSeh3zNZplMhsFH9n7wGy0bGhpw4MABbNmyRdhoKa7Z3JU+Ce3KpBzSUmns4mOpeFOguFPgzp07wbJswGyz3+9PmfsQbwr+jl5xxRW44oorsHz5ctxzzz24+OKL0b9/f5x66qk4/fTT0b9/f3Tr1i1lTkCxoFQq2924x2+u40/QvjGjkb9nDwBA9f0PKHn0EZhMJkk9LlKcSeYxAIpX3gVd1So4z3ohoBtfKlD16YOsl15C7cybwDZa4fnnH9TOmQPcdZfkHvNEHwT5GqGuBheqndVQQIE/lv4Bva55ViM3N1do6xxqbKl20FbL1RiUMQjratdhXc26lAjJUqVWq5Gbm4vc3OaOjHzJvuAmDGazOaD8XKKWaNBMcmJJddxA6o9dpVIF1EcXbwpsbGxEWVkZPB4P1q9fH/AG1Ww2p+zEYEe02Lly/PHHY+DAgcjNzcUzzzyDO++8E7feeiv69OmD008/HaeffjoGDBiQjLHGnEqlCti4J/4olw/GLpfr6Oa67CxgRB647/RAgwPy9euRZrNBeeTJJBWSDskyGZoyBsJctQqa3+6Do8c4cPqcZA8rgKpvH2S9+CJqZt7cvJlv/QbgkUfA3XhjsocWsXg+T8Qf9fEzxT6fD3qjHnLI4YMP/Ub0Q6G5MCXGG41h2cOEkHxBz9R6Q5fK2vs7yuVyYZNfSUmJUD6Tr9ksbqstDs16vT6lA0oiSTXYA6kfNNsihZbaYqE2Bf7888/o06ePUIpOvClQPOPcGV5vrW7vZlkWPXr0wEcffQSO4/DKK69g1qxZuOCCC7B48WLJlwDhOA6NjY04dOgQpk+fjg0bNuCss87ChAkTWt1cJ9/zK3R/34Hq0izUrWmeobAtXIiMe1On2kI4JB2SGQaVpZcjp+5vyKs3Qf3zf+A6782UWnYBAKp+/ZD94gvNQdlmAzZvgfnFl8ANHQpGIp86xPrgJm7rzL8RVSgUwiyEeJlSXl0eDjoOosZTg0KEH5JTzZjcMSi3luP4/OOTPRTJieT5J26rzZ/I+RM4v9Zy27ZtkMvlAeuaYzX7JcXAKdVzACDtkCzlsYvxa5WBwA3UoTYF8puosyU2oQi0EpJ1Oh2cTicAYOXKlfjzzz+xbNkyjB49Ghdc0DwbIrU/ss1mw+rVq7Fq1Sr89ddfWLVqFerq6qBQKOD1enH11Vfj9NNPR0lJSav3zV90AnwqMzKL6lC/tQRckwtN330P8/TpkB+pCyoFUg/JHORwnfEsdB+cBWXZj/Dt+g6+PpOSPbQWVP37I/uFF1Bz883g7HaoduxA3X/uQeaTT0RUPjCZon2e8DN74llivq0z3ymyf//+rW5m7abvhoOOgzjoOIih2UPDus1UPCYNyBiAh0c/3OL7qTjWzia4lizfuYxfosG31eZLA/IzztE0YJDq8RSQ5nNRykGzM1QRC54NF28K5KvWBG8KtNvtnSMk8wuyN2zYgNmzZ2PRokUoLS3FrFmzcPHFFwOQZiHpJ554Au+//z5Gjx6NE088EXfeeScOHjyIBx54AG+99VZ4VyJXwVZ0OtJ3fQLz0DQ0rKgEvF7YP1kM84zp8b0DMST1kMyyLNjs/vCMugnqVc9B/dv98PU4HtCkRpMRMdXAAch6/jnU3DQTcLngWrYM9Q8+iIyHHgLTidZvtdfWuXfv3jCbzWGXPOTrCh90HIznsEmKisfxSdy5rLi4WFgDz4dmvgGDVqsNCM3httWWWmiT4uw3T+ohWapjB8IvFyzeFNijRw/JZg7hXnq9XixbtgyzZs3CF198AbVaDblcjhUrVmDp0qURBeTHH38cI0eOhNFoRE5ODs4//3zs2LEj4DITJkwQypHxX9OnBwbNffv2YdKkSdDpdMjJycEdd9zRovnHkiVLMGzYMKjVapSWlmL+/Pkhx/Tggw9i7969WLRoEW677TaMGzcORqOx/WYiQaw9m2csM3O3AUdCjuPTxWCPzLxLgUwmk+wTVhzwPaNngU3vCZmjCupljyd5ZK1TDxoE+X33gjsye+z88Sc0PPFkyv8N2noz5Xa7UV1djV27dmH16tVYunQptmzZApvNhoyMDAwZMgTjx4/HsGHD0KtXL2RlZUVUE5wPyYcchyIacyo+phzHocJagZWVK5M9FCLCMAx0Oh0KCgowcOBAjBs3DqeeeioGDhwInU6Hqqoq/PXXX/jll1+wevVq7N69G7W1tRGfM1IVheTkkNqa5GAded5I8X4LdZJ/+eUXTJo0CSeffDKeeOIJTJ48WbiQ3++HTCYDwzBhzSD/8ccfmDlzJkaOHAmfz4d77rkHp59+OrZu3RpQTu7666/H3LlzhX/rdLqA25w0aRLy8vLw559/4vDhw5g6dSqUSiUee+wxAEB5eTkmTZqE6dOnY8GCBfj111/xr3/9C/n5+ZgY1OgjVHctlUoFj8cT0QvOkzkQDl136LEfhlG9YV+5HWyjFU1ffwPDJReHdR3JJuWZZEAUhBQauE57Aurf7oN3YGo/9vIhQ1B7/b+Q/vobgN8Px+efg9HrYb5lVsofOJLR1rmnqScGZw5GsbE4JteXTFstW3H9kuthUpnw3aTvYtZuu7NLxusiuK02v5mb3xB44MABuFwuGI3GgA2BUgw+FJKTQ8pjB44+b6S2miBaQgm4ESNGYO3atRg6tOX6v0g3Nvzwww8B/54/fz5ycnKwdu1ajB8/Xvi+TqcT1q8E++mnn7B161b88ssvyM3NxZAhQ/Dwww/jrrvuwoMPPgiVSoVXX30VJSUleOaZZwAA/fv3x/LlyzFv3rwWITmUcJuJiMnkchzOOwWle+Yjs2cV7Ecmh2wffgj95Asl8RG65OskiwK+v/tYNE39CZBA8HANGoSMhx5E/X33AxwH+wcfQGbQw3TddckeWgC+rXNVVRXcbjeWLl0KAMLSiby8PJjN5ri2dR6TNwZj8sZE9DupeuLpm9YXWrkWVo8Vuxt3o09an2QPiYRJJpMJbbX5OrIul0sIzRUVFdi0aROUSiVYlkVFRQXS09NhNBq7TIhIBikHTSmPHZD2m6toCGc5o9EIAFizZg28Xq/w5fF44PV64Xa7hc5y+fn5OOec8NusNjY2AoDQUYm3YMECfPDBB8jLy8M555yD++67T5hNXrlyJQYNGiTUxQSAiRMnYsaMGdiyZQuGDh2KlStX4tRTTw24zokTJ2L27NlhjSuSZiI8hmFwKOdE9Kr4ABpTE9Qjh8G9eh38Bw7A+dtv0J12WkTXlwxSnkkOOXZxQPbYAZUhsYMKAz9u3cSJYB1NaHi8eXmI9dXXwOj0MF5+WVLGxXGc0KiBnyXmm+PodDrI5XIMHTpUaO5AIqeQKTAkawhWVq3Eupp1FJLDkMpBQqPRID8/X+ha5vP5UFlZiS1btqC2tha7d+8Gx3FCKSx+xjmS5UaJIOWwk8rPj/ZwHCfpesL8BFtXOR8IIXnDhg047rjjoNFo4PP5IJPJIJPJIJfLIZfLIZPJoFarYbfbceqpp4YdklmWxezZszFu3Dgcc8wxwvevuOIKFBUVoaCgABs3bsRdd92FHTt24LPPPgMAVFZWBgRkAMK/Kysr27yM1WqF0+lst7V2tCHZrTChaepPYDN6wzhwNdyr1wEAbPPfhfbUU1P+xdvpQjIAsH6oVr8C1eqX4bjia3AZvRI/uDaInxOGCy8A53Cg8fnnAQCNzz4LmckI/aT4V+gQ1wLnvzwej7B0oqioSFg60djYiE2bNglvoJPByza/PpWy8AJGqj6vh2UPE0LyZb2T84aIxAdfxlAmk2HEiBHC8iR+Q+C2bdsC2mrzoTnZbbUpJCeHlMcOHA3JkdyHVD0uh0MIycOGDcP27duhVquhUCgCArJCoYBCoRD+uJF8zDpz5kxs3rwZy5cvD/j+DTfcIPz/oEGDkJ+fj1NOOQVlZWXo1SsxASea5RZ8SGMzm2eD1KNGQtm/P7zbtsG7cyfcK1dBc9zYeAw3ZjplSGZkkB9YBcZthebnO+G8ZHHK1U4Wj9t41ZVgHQ7YjlRWsTz8CGRp6dCOOy6mt+n1eoWyV8FtnU0mE7p16ya0dQ6W7AP53SvvxvLDy/Hw6IdxUreTkjqWjhqWPQwAsKFuA/ycP8mjIfHAv14YhoHRaITRaET37t0BHG2rzZee27x5M5RKpRCYk9FWm0Jyckhx/bqYlJ830RDSrkqlQp8+oT8GrKmpwdq1a3HyySdHdOU333wzvvnmGyxdulQo8N6a0aNHAwB2796NXr16IS8vD3///XfAZaqqqgBAWMecl5cnfE98GZPJ1O4sMhDlmmSZLGA9L+NzwXTZeah7YBsAwDr/HQrJcdTqC5Nh4Dr1MejnnwLFgb+g2PopfAMvSuzg2hDqMTfdeAPYxkY4Fi8G/H7U3303sl99BaqBA6O6Db6klXiW2OFwQKvVCm2d+/TpI5kuSBqFBizYsCtcpPJ96m3uDZ1CB7vXjj2Ne5Ary23/l2JMSsFCqsen1rTWVttiscBisWDPnj3w+/0tlmgkqq221EjpuRxM6nWS+cc+0sdfqn+vgClhp9OJLVu2oLy8HC6XCx6PB0Dz+uC3334b8+bNg0wmw6xZs9p8knIch1mzZuHzzz/HkiVLUFJS0u5ANmzYAADCOq+xY8fi0UcfRXV1tVAM/ueff4bJZBLaYo8dOxbfffddwPX8/PPPGDs2vJDKL7eI5AUnDjuK3T9C88Nt0BQMR2NJCXzl5fCs3wD3hg1QDxkS1vUlg9RDcmtj58w94Bk7G+plj0O99BH4ep2WMrWTQz2/GIZB2u3/Bmuph/PX38C5XKidPQfZb74B5ZFNQm3hi7WLQ7HX6xVag/bs2RNms7lDJ9pkPk+iqZWcqs9rhUyBQRmD8Ff1X9hQtwETs9vfWNzVSemkGmloE7fV5n/f4XAIjRd27NgBh8MhtNXmQ3Ms3+BKeUZQ6iFZqmMHOtYnQ4r3WwjJdrsdN998M9577z0YDAYwDCMsteA4DlqtFk8//TT69evXbkieOXMmFi5ciC+//BJGo1FYQ2w2m6HValFWVoaFCxfirLPOQmZmJjZu3Ig5c+Zg/PjxGDx4MADg9NNPx4ABA3DVVVfhySefRGVlJe69917MnDkT6iNtfadPn44XX3wRd955J6699lr89ttvWLRoEb799tuw7jx/PT6fL+wgIa4x7M8oBeNuhKJiCUyXPI76J54D0Lw2Wf2/IWFdXzJ0ljrJoXiGXw/F5kWQW8qg/vNpuE9u2e0sWUKNm5HLkfHQQ6ixNMCzbh3YhgbU3nILct56q0UXx+C2zjabLaDtZ/fu3YW2zrGQ7ANagb4AQOdpKHJl3ytxSeklGJQ5CKyTlexrkLTU0b8lwzAwGAwwGAwt2mpbLBYcPHgQW7duFdpq86G5I221pRzWaOzJI/XxR0oIyfX19fjmm2/w559/YsyYwNJLa9euxUknnYT9+/cL32vrncQrr7wCoLlhiNg777yDq6++GiqVCr/88gv+97//weFwoHv37pg8eTLuvfde4bJyuRzffPMNZsyYgbFjx0Kv12PatGkBdZVLSkrw7bffYs6cOXjuuedQWFiIN998M6zybwCE3cZutzvskCwun8Zl9IKv2ygoDv4Nc0EdGvPy4K+shGvFCnh27oSqleUrydZZZ5IBAHIV3Kc8At3iy6Hc8C68x1wGNie65Qux1Na4GbUaWU8/hZobboR39274Dx1G7S23Qj/vWVj9fiEUNzU1QafTwWw2Iz8/H/369Yv75h+pzSSnsuHZw4X/tzqtSRwJiYdYvw5ba6vNl5/bu3dvi7ba6enpwuRPe6R6DgCkHdSkPHZAmh2XO0IIyQzDwOVyYcyYMUJrar5Uic/nE154Xq+33VI27b34unfvjj/++KPdwRUVFbVYThFswoQJWL9+fbvXFQofjCNZlxwcdrzHXArFwb+h2rYIxitvQcPTTwMAbO++h8xHH4lqXPHWmeokh+IvOgHePudAUfYTZNVbUj4kAwCn00Hx8Fx4brkVTE0NvLt24dCtt8I+Zw7MWVkoLS2NqK1zrMacTHxIrmqqgo/1QSFre8NwssdLYkdqQSIR4xW31eZvU9xWe/fu3bDb7dBqtQGNTvhPhpMx5niR8tg7w8Y9KY8/UsJZJy0tDTfeeCOAls1D+vfvjwceeAAAUq7WY0fw9yWSkBy8VMHX52xwv90PWUMFjCfmwpqeDtZigfOXX+CbfiMUR3Y3pxIpzyQD4c2AuE96AO7j7wSX3v56+EQIPqi43e4WSyeUSiXSZ8+G6b//BWOzQVe2B5lffIGMRx8Fk6R37sl8nmRqMqGSqeBhPahyVgmhuS2p/rzeXL8Zyw4tQ6muFBpokj0cImF8W22+tTbQfC7j1zVXVVVhx44dzXsfjoTr9PT0gEZAUgw7Ul5LDUh/4160M8lS/XsFNBN58skn4XA44PP5hC+/3w+/34/LLmuu7enxeLB9+3Zh7bCURTuTHDALq9LD2+9cqDZ9CPXOxTBcfjmsL78MsCys776LDNESklQh5ZAc7tg5Q+hOjsnAz/j4fD5s2bJFaOus1+uRlpaGwsLCgLbO7oJ81M64CZzLBecvv6IxPx9pt9yS8HEn+6AmY2QYXzC+3RlkKVl+aDne3/k+Ts0/Fach9RsPkfCkyvFUqVQiOzsb2dnZAI5u7uVnmw8cOAC32w2j0Qi9Xi8cm8KpBpUqOkNIlurYAemPP1LC2cftdmPs2LHQaDTw+/3gOE54Mnq9XqjVavz11184fPgwrr32WqxZsyZpg44VvkkKX8UjHPyTQ/xE8Q6+EqpNH0Kx6zsYrrwHtvfeA2e3o+mbb2G67joojlTsSBVdISSLyQ6thfzQWnhH3ND+hWOAb+ssninmX09arbbdts7qY45BxuOPoe7ftwMsC/v7H0BRWAjDhRcmZPxiyX6ezB01t/0LHSGFA/eQrCF4b+d72NKwBacZKCS3JtnPu2ik4vOPr4nONwoCICzRqKqqAsuyWLp0KdRqdcCGwFRuqy31kCz15RZddk2yQqHAxIkToVKphCYi4mYi/Dqo9PR0zJw5M1njjTmVSgWfzxf25fknhzgks7mD4Trxfvh6nQpZej4Ml10G25tvAn4/bO++i/S7747L2KPVlUIyU18G3YfnAwwDf/exYHMHxXxMLpcrIBDb7XaoVCqYzWZkZmaiV69e4DgO//zzD3r27BnWdWqPPx5pt9+OhiefBAA0PPkUFHn5Ca3BLeUDeaoalDkIMshw2HkYjdrGZA8npUnp+Sel46lWq4VWq4Ver0ddXR1OPPFENDY2wmKxoKamBrt27RLaaoubnaTKUkuph2Spz8RGO36p3mchJMvlcjz++OOtXrCurg4AYDKZcM0118R/ZAmiVCqjmkkOeDfFMAGzlMbLLoX9ww/BORxwfPkVjFdfA0Ve4psHtKYrhWQuoxd8/c6FcvuXUP92P5yXfdahTnwsywr1TEO1de7Ro4ewdELMZrNF/JgbLr4IvgMHYF+4EPD7UXfPPch+43WoeveOevyRSoXniY/1weK2IFub3e5lU2G8bdEr9eid1hs7Gnag3Fue7OGQGJJaCBB30M3MzERmZqbwfbvdLlTROHToEJxOJwwGQ8CGQK1Wm5T73BlCspRnYrvsTDLPbrcLjUR8Ph88Hg9qamowZcoUfPrpp/B4PBg1apRkn6BiDMMIDUUi+R2g7ZOxzGSC4ZKLYXtnPuDzwfb+e0i/446ODjdmpF4nOVLu8f8Hxe6foDi0GoodX8PX79ywf9fn8wXMElutzaW7+I8wCwoKYDKZ2m3VHu0bE/Ott8B36BBcS5aAczhQN3sOcua/A3l2+4Gxo1LhNb61fitu/ONG5GpzsfiMxckeTkwcm3ksdjTsQIW3ItlDITEixdnB1sYsbqvdo0cPAM2flvEbAvm22iqVKmBDoMlkSkh46gwhWapjB6Q//kgFnNmXLVuGe++9F/v27QvoRMeyLCorK3HeeeeBZVns27ev0zxIkc4ki5dbtPhZ7Xao/nwWUOnhv+IB2D/6GJzTCccXX8J09dUJCTbh6EozyQDAGQvgGXUT1H8+A/XSR5s78SlbblThOE44GVitVjQ0NMDhcECj0SAtLQ05OTno3bt3VF2von29MDIZMh6ei5rpM+DdsgX+6mrUzrkN2a+/BplOF9V1RiLZz5M8XR78nB+Hmw7D4/dAJW+9nrlUjknHZh2LRWWLaCa5Dcl+3nUFkYQdjUaDvLw85OU1b4j2H6nf3tDQgPr6+oS21aaQnFxSX1MdqYCQPGvWLPTr1w9XX301NBqNsCbZ7Xbj6quvxgsvvJC0j1jiRaFQRDWTHLLOsN8D5a7vwMlVUIy/D/qLL4L9vfcBjwe2999H2m23xWrYHdLZ6ySH4hkxHcpNH0JmOwjVmtfgGTu73bbOJSUlMJvNYRfnb0+0J36ZRoOsZ55G9bXXwn/oMLw7dqD+//4PmU89BaadGeyOSIXXebo6HXqFHg6fAwcdB1FiSo2Sfh1xbOaxAAAba4PL54JGkZhScFILnqnw/AuX1INPpORyOTIyMpCRkQEgsK22xWIR2mrr9fqAdc2xaKst9ZAs9ZAp9eUikQo4w+7YsQOff/45SkoCT0RerxdXXnklzjzzzLi8M0wmlUoVcUhuLaixuYPhzxkEefUmKLYuhnHKFDg+XgTO7Yb9s89hnDq1RavhZOiKIRlKLZrG3Q3DD7dA8deLWMsNQJ1HFbD7O9ZtnWMy7iPkmZnImjcP1df9C5zdDtfyFWiYNy8hy3iSGQAYhkF3Q3dsb9iOffZ97YZkKQTBDE0G3j7ubVTvrE5YQJYaKfwdpS6Wr+to2mrzSzQiPd5KPSRLPWRGsyZZyq9nBXD0xaLT6UJWemAYBqNHj0ZTU1OnCsnRrEnmf6+1kOk9dgrkP98N5cYF8A6/HvrJF8K+8EPA7Ybt/Q+QNmd2DEbeMV1huQXHcWhqagqYJW5ymDEmczQcBeOQ2aM/eqZnxL2ts3jcHaXs2ROZTz6B2lm3AH4/HIs+gbJnTxgmT47BCFtKlZNQD2MPbG/Yjv32/ckeSsx003dDDVOT7GGQGJHiTHK8x9xeW+2Kigp4vV6YTKaADYHtfXInxcdajMYvLQrg6MmQr2Dh9/vh9XrBsixYlgXHcVi5cmXyRhlHka5JBtoOat5+50O95GHILWWQH1gF41VXwf7pZ4DbDfunn8J41ZVJn02WckgGQr8r9fv9LZZO+P1+YelEaWkpTCYTVKpTEP+VvKHF4jHXjByJ9HvugeXhhwEADU89DUVRETQjRnT4uluT7INid0Nz18r9trZDclc6cEdLSo+RlMYqRYk+B7TWVpsPzXxbbZ1OF7AhMLitdrKPRx0l9fFHu1xEqvc5YLkFx3HYsGEDfvrpJxw8eBBerxc+nw8cx6GmpgbvvfcezGZzssYaF0qlMqI6yUA71SFUBnj7nw/VxgVQblwA/6QXYRDPJs+fj7Tbb4/ByKMn5ZDMP/Yej0fYOMK3debreaelpaGoqKj9gvheJ6DQdKgkXLhCNaGJlv7cc+Ddswf2BQsAvx/1d9+NnPnzoTjyMWespMpBjQ/J++z7kjyS2HH73VhoXYh5P8zDwlMX0rILiZNi8En2mMVttbt1a245L26rXVlZGdBWm59tVigUknusxZL9uHeU1JeLRCogJC9atAjXXXcd0tLS0Lt3b6hUKigUCqhUKqGtbmejUqliOpMMAN7BU6DauACKXd+BaaqHcdo0OD77HJzLBftnn8Nw5ZVQ5CWvbbLUQjK/KaSxsRE1NTVwu91Yvnw59Ho9zGYzunXrBrPZHNGmUsXOb6Fe8hDcJ9wNX//4d7KLZUgGAPOsm+ErL4frzz/BNlpRe9u/kfP2W5AZDB2+7mDJfq70MffBaYWnoV96v3Yvm+yxhkslU6HcWw6r24ptDdswNGtosoeUUqTyd5S6VAtrrbXV5meb9+3bB7fbDQDYtm2bEJ6D69Knss6wcU/K44+UAji6EPuJJ57ATTfdhCePdPnqCmK9Jhlo3sDn7Xc+/PlDwSlUkGcYYLj0UtjefRfwemF7+x2k3/Ofjg49aqleJ9nv9wsl2Pj2zizLwmQyQavVQi6X47jjjutQByiZZQ9ktkNQL30MvtIzAGV8F2HE+qDCyOXIePQRVF97HXzl5fCVl6P+3vuQ+czTYGK08TBVDoTFpmI8NOqhZA8jphiGQZGiCJs8m7CpbhOF5BBS5fkXDikGBymMWbyxmldTU4MNGzaA4ziUl5fjn3/+gUajCVjXbDAYUna2U+ozsV26mYjD4cC4ceOSNZakiMdMMgC4Jr0Y8G/DlVNgX7y4uQvfV1/BOHUqFIXdIh5vLKTaTLLb7Q7oYCdu65yRkYGSkhLhoGez2VBTU9PhFqme4ddDuXEBZNYDUK19E54xt8To3rQtlo+7zGBA1jNPo+rqa8BZrXCtWIHGl15C2i2xvS+p9FxpS6qf8IMVKY+G5HC5XC5YrVao1Wqkp6e328SGJIZUXiNiUgjJoahUKsjlcgwYMABAc8MnfolGdXU1du7cCQAB65r5ZRqpQKqPOy+amXC+KpgUBWzcmzJlCpYtW4bhw4cjPz9faCjCcRz8fn+LBfSdQbRrkiMtoSZPS4Phisthe+NNwO+H9c03kfHgAxFdR6wkswQc39aZD8QNDQ1wu90wGAxIS0tD9+7dkZaW1urHZzEL+AoN3MffBe13s6Ba/TK8g68Ap4vfhspwOjVGQ9G9OzL/+7hQ8cL+/gdQ9uwJ/dlnx/R2ks3P+VHZVAm1TI0sbfLLKMZCkaIIALCpflPIEye/sYkPAA0NDXC5XDAajfD5fHA6nUJlgIyMDKSnp3ea6kNSDJ1SOzdK8TEGWoZMhUKBrKwsZB3ZEC9uq22xWIS22kajMSA0J6vnQ2dYbtFlZ5JLS0sxZ84cLFmyBOPGjYNarRaCck1NDR5//HGhTWVnEevqFgG8Tih2fAVZfRk84++B8YorYP94ETirFU3ffw/j1VdDWVwU5cijl8iZ5PbaOufn54fV1pkXy4OLr9958K99A/KqjVCtnAf3KY/G7LqDxfOgqBk5Emn//jcajiyTsjz2OBTde0B97OAOXW8qHcifWv8Uvqr4Ctf2uxb/GvCvNi8rlZmafEU+VDIVrB4r9tn3oYehh9CQgf/iS2SlpaWhb9++MJvNUCqVUCqVcLlcqK+vh8Viwa5du2C326HX64XAnJ6eDq22ZWdJqZDC31DqpPgYt/f6bquttsViwd69e7Fp0yahrTYfmhPZVluKjztP6uOPVECd5K+++gpGoxEMw2DZsmVCxz2NRgOLxYKmpqZkjzfmolmTHO6aXpn1ALQ//hscI4N3yDTITN1gvHIKrC+/ArAsrG+8gcxHH4l26FGLV0jm2zqLQ7HdbodGo4HZbEZ2dnbUbZ15MR07I4N7/P9B98mlUG5cAM/Q68Bl9IzNdbciXm9ODBdfBG9ZGRyffgp4vai7807kvv8e5EdqlHZEKsw49TA0n+z22va2ehkpHbgZhoEccvQx9cHmhs34/p/vMYAdAI7jhFDcrVu3NpstaDQaFBQUoKCgAEBz8wZ+9qyiogIbN26EVqsVZpoVCkVK/C07IykGBymOGYhu3K211bZYLKirq0NZWZnQVlvcITDWn8zwrz8pz8SyLBvxckcpH3cUwNE/2EcffZTUwSSDSqWKeLlFuMsV2Mze8PUYB8W+FVD+8z48J9wNw6WXwr7wQ7ANDXD+/DO811wNZWlptMOPSqyCJsuysNvtAaXYxG2di4uLY9rWGYh9wPf3GAdfyclQlP8G5e4f4Bl1U8yuWyxeyy3E0m7/N3x7K+BesxZsfT3q7rob2a+9CibKA30qnUCLjM2fuFTYKtq9bKqe/MUbUuvq6uD3+5HtzkaRughphjQM6TmkQxuOVCoVcnNzkZubC6D5Uxw+NB88eBANDQ1CmU8+OHfGJXTJIMUQkKqvk/bEYtyttdXmq2hs374dTU1NAW2109PTO9x8SurdAgHpPm+i1eIzbr4pw+HDh2Gz2aDT6ZCTk4Ps7OxO+cDEdbkFAO+Qq5tD8qaF8IydDZlOB+O0aWh87jmA49D42uvIeiqx1USiDZper7fF0gnx7uPCwsKo2oxGIh6z4O4T74dn1E3wF46J6fWKJaSrn0KBjMcfR/XUafAfPgzP5s1oeOpppP/fPR263lQIAHw76v32/fBzfsiZ+D3HYoVfasQvnbBarVAqlcIJ1+Fw4OGJD8dtVkmhUASU07JYLFi7di2MRqOwwYlhmIA1zYn6yLk9qfCci1RnPD+moniENHFb7e7dm+uy85/MNDQ04MCBA9iyZUvA65dfohHJ+a4zhOQuXd0CAD755BM88sgj2LFjB2QyGRQKBcaOHYu5c+fiuOOOS8YY40qlUsVtuQUA+HqdBtZYAJntEBQ7v4FvwEXQXzQZtgULwNbWwrVkCTzbt0PVr/0asLESzvj5TUPiWeKmpibodDqYTCbk5eWhb9++CWvrzIt1vWEAYDNLASRmNj/eJ395Whoyn3wC1f+6HnC74fjiCyj794fhwgsivq5UOpDn6fKglqvh9rtx2HEYhYbYNk6JBXGDm4aGBthsNmg0GqSlpSE/Px/9+/cXNgvZ7XYcPHgwoScbmUwGmUyGXr16oVevXkINWn5d8549e8CyrBAC+CAQzze9bUml5197pBjqpTojmKhxB38yw7Ks8Pq2WCwoLy+H1+uF2WwOCM5tfXLaGUKyVJ830QpYk/zBBx/gjjvuwOTJk7FgwQKYzWZUVVXh/vvvx/XXX48FCxZgyJAhnepBinYmOezqEDIFvIOvhHrFk1BteBe+ARdBptHAdM3VaHjqaQCA9dXXkPW/eZEOPWqhZmNDtXX2+XwwmUwwm83o1asXzGZz0nfPxyMkB1y/vRKMvQps3rGxvd4ELLfgqfr1Q/o9/4HlgQcBAA1PPQVl71KoBw2K6vpSIQDIGBl6GHpgV+MuVNgqQobkRB+T+M1A/JtIh8MBvV4fVpWWFtflc8HDemBSmeI6ZvFjJP4UqKSkJKAqQH19Pfbv3w+PxyOs08zIyEBaWlqHyy92VlI7J0r1PJ6scctkMuHNI/96aWpqEkIzv3mWb6vNh2bxkiY+N0jxcedFM5Ms+RJwLMtCLpfjk08+wbnnnosXX2yu8ctxHIqLi/Hll19i+PDhWLt2LYYMGQK/358yNQc7KpoScJF+5O8ddDlUK+dBfng9ZFUbweYOhv7882F77334q6rgWrEC7vXroR6amIYCDMPA7/ejpqYmYOmEQqEQ3hWH1dY5ieIR3OR7l0P7xdXgjAVwTPsVkMcuDCT6AKE/6yx4t26D/eOPAZ8PdXfdjdz33oU8K/zyaal2UCs2FmNX4y6UW8txfP7xrV4uXptSWyvHlpaWhp49e0b9JvKtbW9h/vb5uLLPlbhx4I0xHzuvvccluCoAf5/5meZt27ahqalJKDvHB+dkv3FOBanwRjJSUhwzkDrhnmEY6PV66PX6Fm21LRYLDh8+jG3btkEulwsbAfV6PQBpb9xLlcc/UQLqJPOL1HniB6KwsFDoetNZAjLQ/JEKX5YsXJF2rOP02fD1PRtMU73wPUalgumG62F5uLm6ReMLLyL7rTfj8uQTv+NtbGxEfX09PB4P9uzZA7PZjIKCgoCPglNZPGdk/XnHglPqIbPsgXLTQniHTIvp9Se6iYt59q3w7NwJz/r1YGtqUPef/yD75ZfBSHRn8ondTkQ3fTcMyRoS99viN/K0V44tFsfCLE0W/Jwfm+s3x2DkscMwDHQ6HXQ6HQoLm2fuXS6XMNO8e/duoeyceF1zLMrOSfFELLXxSvExBlJ73O211d67t7k6z6pVqwKWNFFb7dQVEJIvv/xyvPbaa/jyyy9x5plnorGxERqNBk8//TQMBgNyc3NRWVmJhoYGFBQUwGSK70eDiRDtTHKkzThcZ8wDZIEnVN1ZZ8H2wQL4ysvh2bQJrj/+gHbChIiuNxR+F7146QTf1pnfYHfo0CGMHj26w7eVaHFdtqA2wjN2DjS/3QvVynnwDrgIUOljehOJDJyMQoHMxx9r3shXXQ3Phn/Q8L//If2OO8L7/RQ7EJ7c7WSc3O3kVn/ekfHyJzP+jSRfCYJfjtBeObaOGJTZvAxma/1W+FgfFLLUnYTQaDTIz89Hfn4+gJZl5zZt2iS0COaDc6L3LSRDqryRjJQU/y5SeqyD22o7HA4sW7YMxcXFaGhoQFlZmbB3QRya+VK8qSjSZiJ8QzqpCjgaO51ObNq0CZdeein69u2Lbt26YceOHSgvL8eoUaPw7LPPoqmpCVVVVZg7dy7OPffcZI07ZuLVlrqFECc+RqGAeeZNqLu9ObQ0vvwKNMcfDybC2Sm32x2wwc5utwu7cIPbOgMQuhBJUbzX9noHT4Fq3ZuQNVRAte6tmLarTsZBT56Z2byR7/obAK8XjkWfQNW/f0Qd+aR8gGuNuBwb/7qRyWTCx6LFxcUdKscWiWJjMQxKA+xeO8qsZeib1jfutxkrocrONTQ0oL6+HocOHcK2bdugUCgCGpykcgDoCKndp1SekW2L1Du+MQwTUN+cf81YLBZUVVVhx44dABCwrjmV2mp36eoWbrcbQ4YMEQpuMwyD0tJSqFQq4QWl0+lgs9mEg6LURVvdItq2zoy9Esqtn8IzYjogk0MzfjxUgwfDs3EjfOXlaPr2W+jPO6/V3+c314hniV0uFwwGA8xmM7p37w6z2QyNRtPqATDRH/vHUtwP6nIl3MfdDu13N0O15lV4jr0K0Ka3/3thSNbjrho4EOl33QnLI80dBS2P/xfK0tKwKqqk2km0uqka5bZyDMwYCIPSEPIyoR7jtsqxxaLJTUfIGBmOyTgGq6pWYXPdZkmF5GDBLYLFTRuCy87xM82hys5J7fgkxcApxTED0ntuiIUK+KHaavOfalksFhw4cEDY/yCu2dzWOT7e90GKz5toBSy3uOqqq3DVVVcldUCJplAoIg7JUYcd1gfdB2dB5qgGm94Lvt5ngGEYmGfdjJrrbwAAWF9/A7qJE8EcWaPk8/mEpRP8yR2AsDYy0rbOQORrqlNJIqpE+PqdC//qlyCv2QbV6lfgGd+xOsNiyXrc9eedB8+2bXB8+hng8TRv5Hv/PcjCWDKVSs+VW5bfgn32ffjfuP9hVO6oVi/n8XgClk7YbDZotVqhFXqqrcEflDEIq6pWYVP9JkzuNTnZw4kZcdOGUGXnysvLQ5adA1LvDVpnk0qv60hIeSY5nIDJMAxMJhNMJlO7bbXFoTlRG+275JpkMY7jYLFYsH79etTV1SE3Nxfdu3dHjx49oFAo4Pf7wTCMZJ+kwaLpuBd1yJQp4B14CdR/vwjlujfh630GAEA9ZAg0J5wA17Jl8FdX4/Bbb8F26qkh2zqXlpZ2uEtWZ5hJjuv4GRnc4+6C9usbJV3hIljav/8Nz/Yd8G7ZAv+hQ6ifOxeZTz3V5riSPeZgRcYi7LPvQ4WtIiAku1wu1NXVAQDWrFkjdMtKS0tDjx492q1fmgzi5zC/LnlT3aZkDSchwi07p9Pp4PP5UFNTI4myc1I/nkqJVB9rIPpZ2OC22uJPxurq6rB7925hD4V4mUY8XjfRvEmRfAk44Ogfb+nSpbj55puxbds2YUnBsGHDcPfdd+Oiiy5KWmH5eIl2TXK0yy28Q6ZCteZVKA6sAio3waorQmNjI2ynnwbj8uVgOA6+jxeBOe64uLR15scv5QNNIsbv73kKHNevBKfPidl1JvtxZ5TK5o18V10FttEK1x9LYf9gAYxXXdnm76XSc6XEWIJlh5dht2U3Dh06JCyfcLvdQnml4uJiZGZmpnywEuuf3h8ndzsZgzIHgeVYyJjOMQnRntbKzpWXl6OysjJk2bn09PSUe8MDSC9wSvVjcynPJMdqFlahUCAzMxOZmZkAji7D5Geb+deNwWAICM2x2ETbZWeSGYbBjh07cM8996Bv3774448/cOedd0Kn02HChAl46KGHYDAYcMYZZ3SqhdtKpTKq5RbRhGSv1wurRw1v/nikH/wNlh8ew6aeM5pnVvr1g/L00+D78SfInE7kLF+OtFmzIr6NcCQ7rHVUQsbPMDENyLxkP+6K/HykPzQXdbNnAwAaX3oJqmMGtlqjOxUOhuJ1+HJr85v0LYe34LDscEA5NgBYunSp5AIyAOiVejwy+pFkDyPp+H0vGRkZsFqtGDt2rFB2zmKxxLXsXEdIMXBKccxA8o+hHRGvgC9+s8m31Xa73UJo3r9/PzZv3tyirbbZbI54PFJ+kxKNgI57v//+OxQKBV588UVkZGRAJpOhqakJF154Ib7++mt8+eWXOOOMMyT9JA0WTUiWyWTtLtEQt3XmvxwOB7RaLQp6nIf0g7+hu2UV0oc9Bxiaw5jv5lmo/H0J4PHA/vEiGC65BIo4bJCkkBwZ2eF1kB/4G96R0zt0PalyQtKOOw7Ga6+B7e13AL8fdff8H3I/eB/yI7MSwRL9XBGXY+PXFfMfJfYy9wIqgQZ5A4YPHx7we5EumyKpjX+9hCo7x1fQ4NdnqtXqgAoaydqESeJPyiEtkW9M1Gp1QOUZvqIP/4Zzz5498Pv9wqc0fHhurzlQl51JBtA8UyOXC+teNBoNGhoahP/nN41JOWAFi6a6RaiZZP7ELi7F5vP5Wu3I5a94F/LD66Da+AE8x90GAFDk5cJwySWwf/AB4HbD+vrryLjvvtjc0XbGLzWJeg4ylnLoF54LDgz8JSeBzYq+8kAqvTkx3XADPBs3wb1mDdjaWtTfex+yXnwBTNByqkQcDNsqx8a3gOXLsTX5moAdgMVtgcVtQbo6dPMjKWI5Fvvt+3HIcQhj88YmezhJ1dbrRKVSIScnBzk5RyYXRCW0xGXnxDPN8S47J8VZWSmOGZB2/kjmYy6Xy4U3kfxYmpqahEYnO3fuhMPhgE6nCwjNwW84pfwmJRoBITkjIwMsy6KpqQk6nQ4qlQpOpxMHDx5EWVkZJk6cCEDaLRWDRRuSg9s622w2yOVyYVNKjx49YDQaW13D7Rn2L2h+/DfA+QO+b7p6GhxffAHObkfT19/AcOmlUPXpE/X9a238gHQPkokMm1x6Cby9z4Jy13dQrXgKrvPe7Nj1pcgBnpHLkfHIw6i68iqwtbVwr1kD6+tvwDyj5Wx5rMfckXJsOoUOBfoCHHIcQlljGUbkjIjp2BIl1H3bZ9uHK365Ahq5Bj+d81NKNxVJhHCPTaHKzlmtVtTX16OmpqZF2bn09PSoPmbubKR6/JfquIHUmoUVt9XmO2ryn9I0NDQIbzjFbbXT09OF4g1dRUAJuF69esFgMGDt2rU44YQTYDab8fvvv+PSSy9Feno6rrvuOgCdKySHs9yCf8fFB+La2lp4vV44HA6hrbPZbI6opJSv95mwF53QogavzGyG6dpr0fj88wDHofF/zyHrpRdj+qSkkBwZz7g7oNj9A5S7f4Dn8Hqw+aHX77YnlWaSgSONRh59BDU3zQT8ftjefhuqwYOhHXdcTG9HfOBtaGiA3W6HVqtFWloaCgoKMGDAgIhqfl7d92rIGBlKTCUhf55Kj3Ekehh7CE1F9lj3oE9abN8cS/VxiVTwjJm4NXB9fT3Ky8vh9/uFZkv8rFlHNqVL8bGV4pgB6Z63gNQfe/CnNCzLCp/yWSwW7Nu3Dz6fD5s2bUJmZqYk22pHKmCqYuTIkZg+fboQgo899liMHj0aF1xwAa688spO+UAolcoW1S3aa+ucnZ0Nl8uFIUOGRH/DcmWrTSoMl14C++LF8B86BPfq1XCtWAHt8cdHf1tB+L+vVA+SiQ6bbGZv+AZcBOWWRVAvfxLOiz+M6npS8eCoHjYM5pk3ofH5FwAAlgfuh/KDD6AQNRSKFF/Tk/8Sl2MrKirqcDm2s4vD7xYoJTJGhv7p/bG6ejW21m+NeUjuqsRl54qLiwPKzvGbmjweD8xms7BEI5ryWan4+m5Lqge21kh13ID0lioEdyHlOA4///wzCgoK4HQ6hbbaWq02YIlGqDK1Uv2bBYRko9GIs0Xtas8999xO0Xq6LWq1Gk6nE/Pnz8dff/2FAQMG4JhjjoFSqRQOmsFtnQ8cOAC32x2zMcgOrweUWrBZzR3QGJUK5lk3o/4/zU0sGp97HpoxYyJuV92ahNQajqNkvNjcY+dAse1zKPYtg/zAKvgLx0R1Pan4mBuuvBLuDf/AtXQp2EYr6v9zD7LfeF14vrU1Zn6DqjgUu91uofRQr169ElbnVqoHYbEB6QOwuno1tli24HycH/Prl8pjFM/XSWtl5/iZZr58ltFoDNgM2NYbO6kGNymOWaqPNSDtsQNHJ6jy8vKg0+kANFft4rtq8m21GYYR8lNaWhpMYTStSlXtpi5+DY2U/7Bifr8fW7ZswYoVK7BixQr89ttvOHz4MObNm4dhw4ahtLQUY8aMafPj3460pQ6m+utFqJf/F97eZ8J17hvC97WnnHK0XXVFBRyffQ7DJRfH5DY7Q0hO9MZDztwd3kGXQfXP+1D9+Qycl3wS8XWk2nILHsMwyHjgflRdNRX+Q4fg2bwZjS+/jLRbbmnxGhDX4+S/+B3SaWlp6NevX8QdICPlY33YVLcJe6x7cEHPCzpVTeGB/8/eeYdHVWZ//HOn95aeENLoXYqAiCKiYsGyur91LYtiX9C17Kqrrthd29rr2lesq66iuyqKCCoiIhA6hBZaEpKZSZ9+f3+Ee82kZzJJ5ka+z8Ojk7lz77nvfcv3nvec73ENB2Cje2MvW9L76Kk1R5KdM5lMZGVlAShCdq6rUCphU6rdkFgxybFAFMVm7a/VaqNyAiKRiLxT4/V62bt3L3l5eQwcOLC3zO4S2l3JlLQ10B4WLFjAH//4R8LhMJMmTeKoo45i7Nix/P3vf2fNmjUd7rzxJDuhASei//bvaIo+R6gsRrT3l69hv+5aDl48B4Cqf/4T08kzUVmtXb5mXyDJvYHAkVej2b2M0OAzQIxAJ8lZIk+OKputodDIJZdCKETNv97AMH4CoijK8ZxN5dgcDgfZ2dltJqh2F6797lqCkSCT0ieRZc6K+k6p/RoaPMkAu6p3URusxaw197JFv050VnYunjuLPQWljhMlk2Ql2w6/9Jm2eKFKpZLLaufk5CCKoqLVtLqNAd9///1MmDABq9VKamoqZ555Jlu2bIk6xufzMXfuXJKSkrBYLJx99tmUlpZGHVNcXMypp56KyWQiNTWVv/zlL830UJcsWcLYsWPR6/UMGDCAV199tUWbjjnmGL7++mu8Xi9ffvkld911F0cffTThcLjF41tDPElyJGkQoZxjEcQIutWvRn2nHzEC4yFFkYjXS9Urr8Tlmn2BJPeG7aItk9o5SwmOvqDTBFk+RwK3uW7YMKxz/yh/LrvtNiKHSp5WVlbidDoZM2YMU6dOZcyYMeTm5nY54SkWaFQacq25AGyv3N6j1+5uuAwuMkwZiIhs8mzqbXN6DYk2TqSEpiFDhjB58mSOP/54RowYgdFoZP/+/ezZs4eSkhJWr17Nrl27qKqqSrh7aAqlEjal2g3Ki0luCqlPd6b9lfy8oAlJFkWR2trauJz4m2++Ye7cufzwww8sWrSIYDDIiSeeGHX+6667joULF/Lee+/xzTffsH//fn7zm9/I34fDYU499VQCgQDff/89r732Gq+++iq33367fMzOnTs59dRTOe6441izZg3XXnstl156KZ9//nkzm7Kzsxk7dmzUVnAsEnAqlSquE2BgXINqiHbdW+CvivrOPm8uHIqFq3n7HUJ793X5elKHVerbXa+GLXRhaz8Rwy1CoRDl5eUUFRXx008/8XNmJnXDGryZqupqMt99l5HDhzNq1Cj69++PzWZLiEk+35YPwPaqX0iykifixrhy+JU8MOkBBjti1+TuC0jk5ynJzg0cOJCJEyeSl5dHUlISNpuN8vJyVqxYwVdffcWqVavYsWMHHo8nIefbRG7j1qBk0qVk2+EXzpAIa0BPISrcYuPGjZx22mn89a9/5cQTTyQlJQWzObbtvs8++yzq86uvvkpqaiqrVq3imGOOobKykpdeeok333yT6dOnA/DKK68wdOhQfvjhByZNmsQXX3zBxo0b+fLLL0lLS2PMmDHcfffd3HTTTdxxxx3odDqee+458vLyeOSRRwAYOnQo3377LY8++qis69wWerIsdWsI504j7BqI2r0NbeGbUZXdNOnpWH//e6pffRWCQSqffoqk++/v8jUTkbB1FL1ueySEZuMHaPZ8h2/mY9CJMJ3eRltybFlZWTiGD0d7xBGUnX8BkYMHMW4rIvTOu9DIw5wIKLAXwB7YUbmj2XdK7dcSTsg+obdNOIxOQhAE9Ho9BQUFQLTsnMfjiZKda6yg0dO7MI2hVMKmZG+sUttcQiyeZKUjqqelp6czbdo07rzzTkaNGsXs2bN555132LVrF9XV1V26UGVlJdBQsARg1apVBINBZsyYIR8zZMgQ+vfvz/LlywFYvnw5I0eOlMsqApx00klUVVWxYcMG+ZjG55COkc7RHmIlyXFdiAUVgfFXAKD7+UUIR0vSWWf/AdWhdqv/8iv8a9d2/ZK9TTS7gN62Xagrx/DlX9FufB918bed+m1P2+3z+SgpKWHz5s388MMPfPvtt+zcuRNRFMnJyWHKlClMnjyZoUOHkpGRgdFoRON0knT33XBoIQq8/jr+NWt61O72UGBrICM7qpqT5MM4jJ5GU/Ijyc7l5uZyxBFHMH36dI466ijS09Opq6ujsLCQL7/8kuXLl7NlyxbKyso6vQ7F22YlQal2Kz1xL1ZPspLvOcqTnJSUxCuH4l6fffZZ5s6dy6ZNmwiFQpx22mkce+yxDBs2jJycnE5JOkUiEa699lqmTJnCiBEjACgpKUGn0+FwOKKOTUtLo6SkRD6mMUGWvpe+a+uYqqoq6uvr281A1ul0hMNhIpFIh9/q4x1uARAaehaR7x4ClQaVt5hI0oBfrmexYLviCryHPMjeRx8j9eWXELrwNt0d99CT6E3bRUs6wVHno1v9MvrvH6Gu/9Ed8iZ3N7mXit409hQHAgG5NHpn5Nj048Ziu/QSql74J0QiuG+9jbQ3F6Cy27vN/s5ACrcorikmEA6gU+sUNxG31RdWlK5gXcU6zsg7gxRjSg9alRhQ2tzUnr2CIGCxWLBYLM1k5zweD5s3b5Zl5xoraHRFT7yvIhKJdKt6TndCyV5w6JonWWnzs4RWe1p6ejqZmZls2LCBRYsW8e9//5tbb72V/v37c8wxx3DTTTd1+E107ty5rF+/nm+/7ZzXrSeg0+mAhm3ojkr6dIsEmUZP/W/fIeLMhRbK0ZpPn0XNu+8S2r6d4IYN1H/+BaaTZ8Z8ud72xnYFiWB74Mi5aNctQL3/J9S7lxLOPbbd38Tb7vbk2DIyMrokx2adM4eyxV9jKCoiXFaG+667SXr4oYSY7FKNqXJ1ut3Vuxno+EVeqLf7Rjzw/Ibn2ezdTK4tlxn9ZrT/gz6IROhnnUFn7G1Pdk4q0mAymWTC7HK54io7d9iT3PNQcptDwwuKkkl+LGj1bjUaDT6fD4ATTjiB559/nnfffZdQKMTTTz8NdGwxmjdvHp988glff/21XB8cGki4FB/ZGKWlpaQfqvaVnp7eTO1C+tzeMTabrUMTSmOS3FF0lxc2kjSgRYIMIGg0OK79k/y58qmniNTXx3ytRCCasSIRbBctaQRHXQiA/vuHoQfsiUQiVFZWsnv3btauXcuyZcv4+eefqaiowGq1MnLkSI455hjGjh1Lfn4+LperSx4XQa3GPfsPcEgI3rd0KbXvvhuv2+kSBEHg1rG38uwxz9Lf2r+3zYk7hrkakic3uDf0siWH0RHEYz6SZOeGDRvGlClTmD59OkOGDEGj0VBcXMzSpUtZsmQJa9euZc+ePdTU1HTpukolbEoOWVBqm0tQuv2xoNUV1GKxEAwGqa+vZ/HixXz66acsX74cp9PJo48+CrQdlyKKIldffTUffvghS5YsIS8vL+r7cePGodVq+eqrrzj77LMB2LJlC8XFxUyePBmAyZMnc++991JWVibXEl+0aBE2m41hhzLwJ0+ezH//+9+ocy9atEg+R3uQtp6bysq1hW4vZhEOoi7+lnDecVF/NkyahOHoo/F9+y3hsjKqX30V+1VXxXSJRCCasSJRbA8c+Ue0hW+gPrAa9a6vCedNb/P4ztodDoeprKyUvcRVVVWo1Wo5+adpJcjuQMThQHfDDQTmzwfA+/gT6EaPRjdkSLdds6M4Nqu5976vTODDncP5gA9+tUVFEmF8dxbx7nuS7Jy09oVCIbxeLx6PhwMHDrBp0yY0Go1cEdDlcmG1WjtshxLbWIJSx7mSCT7E7klW8j03I8lSXOPBgweprq7mtNNOY926dZxzzjm88sorjBkzpkMnnjt3Lm+++SYfffQRVqtVjiG22+0YjUbsdjuXXHIJ119/PS6XC5vNxtVXX83kyZOZNKmh5O+JJ57IsGHDuPDCC3nwwQcpKSnhtttuY+7cuXKs1pVXXslTTz3FjTfeyJw5c1i8eDHvvvsun376aYfsjMWT3K0kLeTD/Op0VJXF1F7wPyJpI6O+tl93Lb4ffoBQiOp/vYF51iw0jTz0HUVvVK2LFxKFJIvmVIKj/4Bu1QsNscm5x7UZm9ye3VJ5T4kUV1dXy3H7aWlpDB48GJPJ1KMTjiAIqCceieW886h5800IBnHfehupb/wLlcIrjiUypMp7W7xbCEVCaFrZYerLUNLC2hPzkSQ717iyWWVlJW63m/LycrZt24YgCDgcDjlEw263t0pqlOoVVDLRVGqbS1C6/bEgauYNh8M8++yzfPzxx6xYsYJjjjmG888/n4svvlhumHA4jCAI7b5NPPvsswBMmzYt6u+vvPIKF110EQCPPvooKpWKs88+G7/fz0knncQzzzwjH6tWq/nkk0+46qqrmDx5MmazmdmzZ3PXXXfJx+Tl5fHpp59y3XXX8fjjj9OvXz9efPHFDsm/wS8kuTOZxd2a9KYxEM4ch6qyGN3K5/Cd9nTU19r+/bGedx7Vr78OwSDexx4j+eGHO32ZRCGasSCRBmlgwlWoKrYSOPKPHZaCk3/bnhybw9FmefSegiiK2OfNxb96NcFNmwgVF1P56GM4b/lrr9pVF6rjq71fUVJXwmXDLpP/roR+3d4zzbZkY9VaqQ5WU1RZxBBn73vuD6Nt9PQ4ValUshcZOiY7Z7fbo0KwentuiRVKtVvpiXu/xpjkKJIcCAS48cYbufTSS/nHP/4hK1E0RkcVIDqyUBkMBp5++mk5xrkl5OTkNAunaIpp06axevXqDtnVFIIgoNFoOkWSu9sLGxh/JdpNH6LZ+glC5c2I9uyo761zLqb2v/8lUl6O75ul+H74AcMh73tHoXSSnCi2i+YU6s9+o0PHRiIRubRzZWUldXV1WCwW7HY7OTk5OByOhMtmlxYjQavFdfddlF1wIaLPR+2HH2I4ajLGJi/BPYlwJMz9Pzcovpw74Fysuq6XbE8UCILAMOcwVpStYIN7Q1xIcqKMmY5ASbZCYnjYJNk5SXpOKg7mdrvxeDzs27cPv9+PzWbD5XLh8/mwWpU3ZhKhrWOFkm0H5dsfC6JIstFopKKiAqPRiCiKUSEIkUhEnrgkghhroZFEQ2e1krubpEVShxPqPxVN8TJ0q/6Jf/pdUd+rzGbsV8/DM/8OALz/eJS0NxcgdCJJK5GIZmeR0LaLIhyyr6kcm9/vx+/3k5qayoABA7Db7Z2SUuwtSG2tzcnBccP1eO69DwDPPfeiGz4cdUrvSJRZdVbSjGmU1peyo2oHo5NH96kJfLhrOCvKVrDVu7W3TTmMDiDR+l57snPV1dV4vV5KSkoUJTunZKKmZNsh9lAXJd9zM1b1wgsvEIlE8Pv9BAIBQqEQoVAIjUZDbW0tgUCAQCBAJBLhn//8Z2/YHFcIgoBWq+20ugV0b4cPTLgSTfEytOvewj/5OjA6o743zZxJ7b/fJ7BuHaGdO6l59z2s5/2+w+dPaKLZDhLRdrHOjfD9E4jlW1k//K8tyrHt2bOHpKSkKJWXREfT/m064wzqv/se35IlRCorcd95F8lPPN4lze6uIN+WT2l9KdurtjM6eXSv2NBdmJU7i+OyjiPXlhu3cyppsVKSrYk2H7WEprJzfr8fh8OB2WzG7Xa3KDvndDoxGo0J9SyUTDSVrPEMyg8XiQXNntb9999PWVkZRqNR1litr6/H7XYzdOhQbDYbOp1O0Q+6KWLxJAOdKkDSWYRzjiGcMgz1wY3oCt8gMPHqaBtUKhx/voGyiy4GUaTqhRcwzTwJ9aHKfO1BycVEEoEkN47/q6ysxFdaxPT1r6ASw6QN/D3ZI6dis9miJpS9e/f2ut2xoLHNgiDgvPUWSjdsIHLwIP4VK6h5+22s553XK7YNsA9geelyiiqL5L8psY1bQpopjTTS2j+wD0KJz1CJxE2r1ZKeni5LqgaDQdnTXFxczPr169Hr9VEKGmazuVfvVckkWekkU+n2x4JmTPfFF1/kiSee4KmnnmLQoEFAg+7w1VdfzZlnnsl5vbQYdid0Ol1MJLlbJ3JBIDD+Coz/+xOqg5tbPEQ3bBim02dR99HHiLW1VD7zDK7bbuvg6ZWrbgE9v4i2Jcfmcrlw5J9ISPwtuvVvk7P7PerHzWp2jkQg951FS4uR2uHANX8+5fPmAVD51NPox49Hd2i+6EkMcjRc83BIwmH0JpRI3FqyWavVNpOdkxQ0pPL2jWXnnE4nNputR+9diW0tQcm2g7KVRWJFM5L8xz/+kffff59BgwYRDocRRZG0tDQ5kW/WrFlYLBbC4XCf8SZrNJqYwy26E6HBp1ObNJBI2qhWj7H/8Y/Uf/kVYm0tdR8vxHzmmehbSLhsCiUSNgk9YXsscmyBI+ei3fAump2LUZWuaybf15cmF8PEI7Gcfz41CxY0yMLd9jfSXn8NwWDoUTsG2hsq7RVVFhGKhPpUGwMsL1nOF3u+YFzKOE7LPa23zelR9LVnmWjoCGHTaDQkJSWRlJQE/CI75/F4msnONVbQ6E5vo5KJppJth8MkGYCqqiq5gl3jUIKioiJCoYZFSFKE6AsQBAGdTtfpYiJA93ti1do2CTKA2uXCdvnlVD76KIgi3gceJPXVVxDaCQM5TJKj4ff7o0hxLHJsojOP0JAz0G76EN2KJ/Cd3jxmX4lt3prN9j9ehf/HHwlu20Zo5068Tz6J8y9/6VHb+ln6YdKYqAvVsbd2b49euyewvWo7n+/5nEAk8KsjyUqCEsd1LGgsO5efn48oilRXV8sKGrt27YqSnXM6nTgcjrjyBSUTTaWTzFjCLZQ+Npr13LPOOos///nPAIwePZpQKMTWrVu57rrrOOussxSRjd9ZdDZxr0fCLZpes/YgQk0pkbTmXmLL//2WuoULCRYVEdy8mdoPP8Ryzjltn+9XTJJFUcTn88mEuLEcm8PhIDc3F7vdHlOWd2Di1Wg3fYh22/8IlG8hkjw4bnb3BtqyWdDpcN1zN6V/mA1+P7XvvofhqKMwTpnSY/apBBWPHf0YmaZMXAYXu9mtuDZuC0OdQwHY5NnUy5b0LJT4DJVGfuJBNgVBwGazYbPZomTnPB4Pbre7meycRJy7wiOUTJKVbDvEbr+S77kZSX766ae57LLLOOecc9BqtajVagKBACeddBKPPvpowsvDxIJYEvd6MqZXvfNrjB9fSsSRS90fFoEQ/SYnaDQ4brqRg5ddDkDlM89inD69zSQ+JRI2CZ21vSU5tkAggNVqxeFwxFWOLZI0iODAU9Bu+y+6H5/Cd8qTMdutBGjz83H86U94H3wQAM9dd6N7cwHqQ9uzPYERrvbDi5SKwY6Gl6ySuhI8fg9OvbOdX/QdKGlhVSL56Q6bG8vOZWc36PtLif8ej4fNmzdTV1eH1WqNims2dCJMS4ltLUHpiW+/+mIiACaTiQULFvDYY4+xdetWIpEIgwYNIi2t72ZZd5YkQ88SnnDGWFBpUZdvQb3jK8IFJzQ7Rj9mDKZTT6Xu008Rq6upfPIpXPNvb/WcSiZs7U2QoihSU1MTRYqbyrHZ7fZuUyYJTLwG0ZRMYMJV3XL+nkRH+on5nLPxff8dvm+/I+J247nnHpL+8Y9eWciUtHh2ZPxZtBb6W/pTXFPMZs9mJqdP7gHLDuPXgJ4im0ajkaysLLKysoCG0DbJ07xjx45Oy84pnSQr1XZQfrhILGgxUEgURfR6PQMGDJB1kWtra/tM8ZCm6Ky6BfSwhJrBTmD0H9CvfAb9iieoy5/RYglk+9XzqP/mG8SaGuo++QTzmWegH92ydqzSSXJj2yORCFVVVXLohNfrBcDhcGC32+nfvz9Wq7XH3oAjaSPwp93Xrt19BYIg4Pzb3yj9/XlE3G58335H3UcfYT7zzB65fk2whje2vEFxTTEniR0rR68kDHEOOUySExxKJD+9NRfp9fouyc4psa0lKJ1kKt0THgtaJMmffvopDz30EIWFhUQiEZKTkznjjDO4/vrrFVUIoaPobEwy9DzhCY67DN3ql1AfWI16z/eE+zeP+1QnJWG/6iq8Dz0EgPeBB0h9/fUWK/EpWSdZqhy1Y8eOFuXY8vPzsVgsiTMZiREQVIokyR1tQ7XLhfPWW6m44QYAvI8+hn78BDT9srrTPAB0Kh0Lti0gLIaZ6JyouDZuD0OdQ/lizxdyXLLP5wPodHiQktpFSbYqGYkwR3ZEdk6tVsue5s4k2ScalEzwITb7pfBUpaIZe/rwww+ZM2cOs2bN4sYbb8RisbBlyxbuuOMODhw4wLPPPovD4egFU7sPsYZb9KTOsGhOITj8XHRrX0P349PUt0CSAcxn/4bajz8muGULwW1F1Lz3b6y/P7fZcUrSSW4qxyaRYpVK1aocWyJAVbEV3bcPIprT8M+4N+Hs6yg6SliMx0zFdMbpDbrddXW477qTlGefbVdppavQqXXk2fIoqixif2h/t16rN1BgKkCFioqqCr7//nv8fj+iKMrJUNK/vqI4JEFJ40WJ5CdRbW5Ldq6iooL6+nrWrFkjk+aekJ2LF5Tuif1VxyRLN//YY49x1VVXcd99v2wXH3vssUydOpUZM2awY8cOxo4dm7ADLBbEQpJ7wxMbmHAl2sI30OxeiqpkDZH0Mc2OEdTqhiS+OZcAUPX885iOn4760Fu6fFwCezVbkmMzmUzY7XaysrKwWq2IosiQIUN629Q2IdS70RZ9hqjWE5j8J0B5HrLOjnHHtdfiX7mS8P4DBFavoebNt7BeeEE3WfcLBtkHUVRZxIHwgW6/VndDitn0er14PB5q62t5oN8DpLnSZEktQRBwu9243W42b95MfX19FGl2Op19jjQfRnyhlDW8sewcwDfffENeXh6RSASPx8Pu3bsJhULY7Xa578dbdi5eUEqbtwal2x8LmvWi0tJSudJeYwwYMEBWCehriCUmuTc8saI9m9DQs9BsWYi6bGOLJBlAP3Ik5jPOoPajjxBra/E+8g+SHvh71DGJQpKbyrF5vV7q6+vblGOrq6vr9PPqDYSzJhLOHI96/09of34JIe3shGjzzqIzNqssFly3z+fgVVeBKFL57LMYJk9GO6CgGy2EgY6BUAz7Q/sV0cZRRWgCgShS3Dj7f+DAgc0WfEEQ0Gq1ZGZmkpmZCTSEYLjdbioqKti4cSM+n08mDRJxaHrdRIYSnmFjKJE8KK2NG8NiseByuZrJznk8nijZOcnT7HA40Ol0vW22IvtJY/yqPckSxo4dy6effsrUqVPJy8vD5/OhUql45plnSE5OlifbvgQlxCRL8B99I/5jbkE0p7Z5nP3qedQvXUrE46F+8WLqly7DeMxU+fvesr89ObaBAwe2K8eWKAS/XQgC/gl/xPTRHHRrXkd9/EwiWktvW9UpxDKh68eNxXLeeb9U45s/v6HATTdqrEvlqfeF9nXbNeKFQCBARUUFoiiyYsUKamtrsVgsOJ1OCgoKcDgcnY43NhgMUaS5vr6eiooK3G4369evx+/3Yzab5Ws7HI5uU3eJF5RMJpQCJbZxU6LZnuzcli1b5DHWWEGjM7Jz8UJfSNzrrP2KWKvbgEySpbeDW2+9lf/7v//j9NNP54QTTsBsNrN161a++OILbr/9dgYPbtDtVPKDborOVtyD3kt8E62ZHTpOZbfjuO463Lc3yMB5H3oI/fhxqEwmoOeIZnfIsSmGJAPhghmEkwahrthKyq6FlAxoHh+e6Iilre1XXYnv++8J7dxJcOtWql58EftV3SeJN8jeQJIrI5VUBaqwYeu2a3UWwWBQ9hI3ruYIkJ+f3yFSvLZ8LU+vfxqX3sUDRz3Q7jWNRiP9+vWjX79+cqJrcXExe/bsobCwkGAwKCe6Sp62X5uHKJ5QoodQiTZDx+xuTXbO4/FEyc5Jnub2ZOfiabuSx1kkEkn4l+t4o5knefjw4SxZsoRnnnmGRYsW4ff76devHx988AHHH398b9jY7YjVk9zbiW+qA6sRTUmI9v4tfm+ceRL6Tz/Fv2IF4ZISql74J45rG2Jju4toNpZjkyTZIL5ybEoiyQgqAhOuwvjZdaTu+DcluWf1tkWdQqyLhqDX47rrTsouuhjCYapffQ3D0UejHzkyzhY2wKw1k2XOoryunBJfCf3oPRWeUCgkk2KPxyPH1DudTnJzc3E4HITDYX744QdSUlI6dE6tSst693rsOnun+74gCJhMJlJSUigrK2Pq1KnU1dXJ4RnFxcWEQiGZMCgpESpRoJj5qBH6MkluirZk5/bs2cP69evR6XRRyYCNZed60/ZEgtLtjwUtRranpKQwf/585s+fH/X3ffv24XA4+pxeciye5N4marrlj6L//hGCw3+Lb+ajLR4jCALOm2+i5Nzfg99PzdtvYzp5JrrBg+NG8sPhcIvKEw6Hg6SkJAoKCuIux9bbbd9ZhIacQeS7h9BW7ydp3yIY1j1EsbsQa1vrhgzBdtmlVD33PEQieO64g9Q33kB1yIsabzx/7POsX7megdaB3XL+1iBJVkmLruSlcjgc5OTk4HA4mlUqra+v79Q1BtgHoBE0VAYqOVB3gBxdTsz2CoKA2WzGbDaTnZ0tx3RKiYC7d+8mHA7LY9jlcmGz2XqUNCtpfEv4tZGH3kI8iFpT2blwOCy/2DaWnWvsaY6H1r7SSWYs4SJKvl9ohSQ3RnV1NeXl5fz44488++yz3HHHHUybNk3xD7sxYvEkq1SqXvUkh3Knof/+ETQbP0CY9CdER26Lx2n69cN2yRyqnnkWwmE8995H6isvo1KpYtKbbCrHVl1djU6nw+Fw9Jgcm9JIMmod/ik3UrFvOxUZx9FzBZu7jq4+R+vs2fi+/Y7A+vWEivdQ+eRTOG/8S5ysi4bL4EIldD+RkxZUaVGtrq7GYDDgcDjIzs7G6XQ2I8VdhU6tY4B9AJu9m9nk2USOI3aS3BSNYzr79+8vh0hJpHnnzp1EIhGcTmcUae7u+b+vrC+JCqWu4d1ht1qtblN2rqioCFEUowqcxLLb0hdikmN5UVDyPbdIksPhMHV1daxZs4aPPvqIhQsX4vV6Ofroo+XEECXfdFMoKXFPQiTjCEK509DsWoJuxVP4T3q41WOtF1xA3f8+a4gP3bSJ2n//G+HIIztkv9/vj4onrq2tjZJjczgccnxlT0GJfS80/BwqjDsI+/29bUqn0ZV+Lmg0OO+YT9n5FyD6/dS+9x7GY6ZimDQpjhY2ul439A1pt0SKKa6qqkKv1+NwOMjKyuqxJKAhziEySZ6ZN7PbriMIAlarFavVSk5ODqIoUl1dLZPm7du3A8hkISkpCavVqshxGS8okXAq0WboGbubys41HgNdkZ1TaptLOKxuARw4cIAPP/yQt956i8LCQkaOHMmf//xnLrzwwl7JBu0J6HQ6ampqOvWbRKhY5598HZpdS9Bu/DeBSX9CtGe3eJyg1eK85a8cvOxyACqffQ5hwAAiTZ5ne3JseXl5CSGl09svKLFCnhwl2xUwWcZjQtfm5GC/5hq5EqTn7ntIe/stVFZrl8/dGBExwoLKBZR8X8KLx72Iy+CK6TzhcJiqqiqZFFdWVqLT6XA6nWRkZDBs2LAefzGEhsp7/9n5HzZ7NvfodQVBwGazYbPZZMmtqqoqmTQXFRXJpEIizV0NsVLa+FaavaBcwtYbdrc0BmKRnVN64l5n214URUWOjcZoVkzkr3/9K6+//jqXXXYZL730UpRmcigUQq1WK3JgtQWtVqu4mGSASOY4Qv2noilehu7Hp/Gf8PdWj9WPGYP5rLOo/fBDxNpa1K+8SuSKy6mtre2SHFtvIBHaPlY49y/B9OM8/NPuIJwztf0fJADi0dbmc86mfunShiTSsjK8jz6G6/a/xcG6X6ASVOwP7qcsXMZm72aOSj+qQ7+Tkk2lBa+qqgqNRoPT6SQtLY0hQ4b0SOZ7exjiaCies9mzmYgY6ZHQkpYgCAJ2ux273S4XdZBIc3l5Odu2bUOlUslJgElJSTElQfV2e3cWSrNXqUgEct+a7JzH48HtdrcqO5cItncFSg8XiQXNPMmjRo3CaDTy7bffolKpOPnkkxk5ciTJyclY4+z5SRQopZhISwhMvhZN8TK0698hMPEaRFvrEnHWP15F3ddfI3q9CCtWUD9kCCsrKrokx9YbUCpJFgQBi2cD6vIt6H58hnoFkOR4TYiCSoXztlspPff3iLW11C1ciPH46RintFxePVb00/ajLFzGJs+mVklyJBKhurpaJsWVlZVykk4ilznPs+XRz9yPfHs+tcFarLrEmI9VKhUOhwOHw0F+fr4cz+l2uykrK2PLli1oNJqoEtrdoRzQm1DifKRUwpaodhuNRoxGoxyS2lh2bufOnaxduxaAoqIiUlNTcblcCfHy3Rko3RMeC5rpJF9//fVcccUVfPzxx7z++utceOGFZGRkMH36dKZNm8b06dNJTk7uNYO7A7GUpU4UohbuN5FQ9mRUnl2oqooJNyLJLcmxWU49lbQFCwBI+/hjsmb/AY0CX34Soe07C0EQOJD7G9KLF6IpXoaqtJBI2qjeNqtdxKutNenpOK79E557G0ree++7H32cwy76a/vzs+9nNnk2yX+LRCLU1NREkWKJ2KWkpDBo0KBeIcWdbVeNSsO7J70rV9xLVDSO5ywoKJBJc0VFhawcoNVqo0hz0/ZX6vhWEhKVbLYFqV8owe6WZOcWL16MTqdj7969bNiwQQ7jkrzN8VaCijcOe5IPwWw28/vf/57f//731NXV8d577/HOO+9w7rnn8thjj3HNNdcQDocT3uPYUShR3aIxfCc/jmhMIoSaKre7TTk289SpVGwvwv/DCtQeDzXPP4/jz3/u7VvoFBLlBaWzEAQBvyGV0NAz0W58H92Pz+Cb9Vxvm9WjMJ1xBnVffYX/h0NhF489hutv8Qu7yNY2bH1udG9k9+7d8lgQBEEeBwMGDOhznsxERtMkKEkdxO12s3//fjZu3Iher48izUqDEuejwyS5ZyG92Obn52MymdqUnZOIczxk5+KJWDzJSnxWjdGuBJzJZGL27NnMnj2bffv24fP5APoMQQZl6iTDL5W8vN5aKiv3U11djV6vx263t7lt7LzpZkrOPbdBO/nd9zCecCL60Ynv0ZSQCG0fK0RRJDDhKrQb30ez9VMEzw5EZ35vm9Uq4t3WgiDgvLVR2MXHCzFOPx7jlI7FD7eExlUdk8VkVKjwBrzsKN9BQUoB+fn5Ce+h6QxEUaTCV0GSQUligr+gqdyWRBYqKipkD5tarUan07Fv3z55WzrRobT+pcQ5VMkkWUpik2xvSXaucULs9u3bo2TnnE5nr4dDxupJVuLzktAqSXa73axdu5aysjJSU1PJysqKSuLrS4jVk9zTk0xrcmwOh4N+/fpht5qx7vqMcP/cNstXa/plIZx/PuLLL4Mo4rn3XtLe+BdCL6tWdBRKJcnSRBFJHkIofwaaHV+iW/kc/hMf7GXLehaa9HTsf/oT3vuksIv70L/zNiqLpUO/b5xZLo2FSCTSULRDrae/qT+76nYhpAv0z2q5GqVScbD+IBctvoi6UB1Lz16KWtXxBTNRx0xTshAKhVi3bh11dXUUFxezfv16jEZjlKc50ZSWErVt24PSyIuSSbKE1mxvHNsPv8jOScmAjWXnGitotCc7F0/8qmOS4Zftl2+//Za5c+eyYcMG+e1nzJgx/PnPf+a8887rLVu7DYmYuBeLHJvhs+vQbniPwOg/4J9xX5vnV50+C9/ir9Du2k1o506qXn4F+5VXdNv9xBNKJsmS3YEJf0Sz48sG+b6jb0Q0JWacf3e1tfnMM6j/6qtGahePthp2IYoidXV1Min2eDxyRTiHwxFV6nz58uUMdw5Hp9UhoNyFtDW4DC58IR/+sJ/d1bvJtyfuLkSs0Gg0mEwm9Ho9w4YNIxQKyURh165dFBYWYjKZ5MImLpcr7sVbYoHSiNvhcIueRWdtbyw7J+mVS+XkPR4P69evj5Kdk/51p0Trrz4mWRAEioqKuPXWW8nLy+Prr79m/vz5+Hw+zjrrLG666SYsFgunn356nxKVToTEPck7JiXYxSLHFhzxO7Qb3kO77i0CE65EtLfuRVNpNFSefz7Jf38AwmGqX30V4/HT0Q3s2ZK+sUCpJBl+mSjDWRMIHDGHUN5xiEZlbpt3BYIgRKtdfLwQ0/EzMBw1GVEUZTkliRhLHhRp16StMslXDrhS9komKmJdaNSCmoGOgRRWFLLZs7nTJFmJC5xGoyElJYWUlBSgIcxMqoS2Y8cO1q5di9lsjiLNPa3lrlTCqUSbQZn9WHKqxWp703LyEC07t3Xr1hZl5+K56/Kr9iRLA2bZsmWEQiGeeeYZXC4XgiBQV1fHKaecwscff8yHH37I6aefrliS0hJi8STHWtZZgpRx31h5IhwOy0QgMzMTm83WqfijcL9JhHKOQbN7Kfrlj+Ob+UirxwqCQDArC+tFF1H90ksNJavvvofUl19C6MHtm1igxAkSmtgtCPin39V7xnQQ3flC0jTsovyuu6i8+y68gQCBQEDeVszKyupUCVil9o+OYohjiEyST8k9pbfN6XFotVpSU1NJTU0FIBAIyEShqKiImpoaLBaLTJq727t2GD0HJZNkyfZ4ksyOyM6ZTKaoZMCuyM4p8cWqq2jGhmpqahBFUW50o9Eox+uaTCbKysoA5cZgtYSeCLcIh8NUV1dHkWJJlN/hcJCTkxOXTFb/lD+j2b0Uzcb3EI6ci+hq2dMkkR/bnIupX7xYLlld/cYCbBfN7pIN3Q2lepLbtFsUFVGBL16or69vCJ0YNBDt4EEYt2yFigos7/2bzL/e3OkXRAmNJ/BAOICIiF7d+1vx8cQgZ0NuyGZ3z1be60l0ZnzrdDrS0tJIS0sDGkizlPy0bds2ampqsFqtcmETp9MZdwk9Jc5HSiQ8fYEkd6ftLcnOSUoy8ZCd60sRBB1FM5IsBY1Lb+NarRafz8f+/fvZsGEDxx13HBDft6HehkajiXu4RSgUorKyUg6daEmOrTsy7iMZYwnln4BmxyL0yx/Bd+rTbdov6HQ4/3YbBy+9DCIRql54AePRR6MdUBBXu+IJpZJkaGEx9Vej++k5NLuXUXfuh9CJRKyeQLz6Z2MPh8fjwe/3Y7VaGzK2b7sN/xVXItbVof76a4xnnYl68uQuXe/+Vffzv+L/ccu4W5jZf2Zc7iFRMNgxGIAt3i29WnmvuxFr39PpdFFEwe/3y6RZqoRms9miSHM8kp+URNyUSjaVajd0PdwiFmi12qhQpcayc6WlpWzZsiVKorE92Tklvlh1FfLMIN14fn4+LpeLH3/8kenTp2O321m2bBm///3vMZlMXHFFQ3JXXyLJOp2uy+oWv8ixNfyrqalBr9fjcDhIT0/v0dK2/il/RrNjEZrNH6OaeDWR5CHNjmlMNPUjR2K94AKqX38dgkHcd91J6ssvJ2zYhVJJcot2Cyp0q19F8Fei2b6I0MDEI3SxtLVEiqUJub6+XibFgwcPxm63RxGTmj/9Ce/99wPguede0jqhdtGSvSatiZAYYr17fZ8jybnWXPRqPbXBWvbV7CPbmt3bJiU09Ho9GRkZZGRkAODz+WTSvGnTJurr62XSLHnXOkualUYelEo2ldbOjZEIbd6a7JwUriTJzjkcDnksNJadi9WTrNRnBi14kseMGcPcuXPl7agRI0YwdepUZs2axYUXXqgIvcrOQtJJ7swADIfD1NXVsWXLlmZybNnZ2Tgcjl6TKYqkDic46FSE2nIQWw4JaUrYbJdfRv2yZYfCLjZT/dpr2C65pKdM7jSUSpKbQWcmMPpC9D8+hfan5xOOJHd0PAQCAZkQezwe6urqopJO25MqMp91ZoPaxY8/Ei4ro/Kxx3HedmvMdo90jeQd3mF9xfqYz5Go0Kg0zMqbhUFtQKNKzBfZrqI7x7fBYCAzM1MOKayvr5dJ88aNG/H5fNjt9ijS3JfqAigZSifJgiAklP2NZefy8vJkzXlJQWP37t0Eg0EcDgdOp5NwOEw4HO5ts3sUzWZYs9nMySefLH8++eSToz73RbTnSZay7aXQCUmOTa1WY7fbW5Rj6234Zj4GGkOrca5NPeGCXo9r/nzKLrkEwmGqXnwJw9Sp6BJQG7s3NKrjhZbsDh5xEbqfnkezfyWqAz8TyRjbC5a1jhZtPqQwIBFjKataKkXscDg6Ffcpq138/jzE2lpqP/oI40knYpgwoVO2SgvQCNcIALZXbac+VI9R07de7m8ef3Nvm9BnYDQaycrKIisrC0CW2XK73bLMluRZk7Rpm5JmpZG3RPBqxgKltXNjKMF2QRCwWq1YrdYo2TnJ0xyJRFixYoW889ITsnO9jQ65ISRtvER/wLFCq9VGKVU0lmOT/gWDQWw2Gw6Hg0GDBsnFDBK2wIq2bVLQ0ta/bvgwrH+4kOpXXoVQCM+dd5H66isIcU5yiQeUSJJbCxMRLemEhp6FdsO76H56IaFKVUtjXgonkohxTU0NZrMZp9NJXl5eXJKhNBkZ2OfNxftAQ3EVz733kfb2W6g6uSMjiiKpplRSjamU1Zex2bOZI1KO6JJth9Hz6K31xmQyYTKZ6Nevn+wgqaiokJOfJM9aY9KsNBwmyT0PJdreWHauX79+HDhwgAkTJuDz+fB4PFGyc42TAROt2E9X0CGS3Jfij1uCIAjU1tZy9913s2LFCoYNG8app54qK09kZWU1y7b3+/3dWkwkbqj3oPvpOUIFJxLJHCf/uTV1Dtull1K/dBmh7dsJbt1K1SuvYL/88p60uF0oOSa5NQTGXYZ2w7totv0XobK4TY3rnkAoFJJfEH0+H3v27JGlhHJzc7tt58T8m99Q98UXBFavIbxvH1XPv4DjT9fEdK4RrhEs3reYde51fZIkVweq2erdytiUsYpbfJUCQRBk0pydnS171iTSXFxcLDtYDhw4gEaj6ZRcYW/hMEnueSi9EIdUWM5kMuFyueRwpcYSjJLsnFQh0+FwkJycrGjS3OmANiV3Ugk+n4+VK1eydOlSli1bxrJly6irq+P7779n0qRJnHrqqYwbN67NiU4pRE3/3cPo1r6GumQN9b99R/57a/YLOh2uO+ZTdtHFDUVGXn4F47HHohs8uCfNbhNKafuW0JrdkZShhHKPRbPrG3SrXuxxDWVJjUWKKa6pqcFgMKBWq7FarQwdOrRHqpoJKhXOW2+l9LzzIRCg5s03MZ0wA92wYZ0+13DXcBbvW8x6d9+LSw6Gg5z4nxMJRoIsnLWQDHNGu79R0phJ1HWmsWetf//+8q7jjz/+SH19PT///DORSET2qrlcrjYL3/QWlNQXGiNR+0VHoPRCHK29WDWVYJQqZHo8Hvbt24dOp8Nut/e4vfFCh0hyKBRCEATUarViO6iETz75hHPOOQen08nUqVM57bTTuPLKK/nd737H//73vw7fn0qlUoQnOXDkH9GufwtN8Xeoi78j3H8K0DbR1A0ZgvXii6l+8cWGIiN33Enq668lTNiFUklye3YHJvyRiL0/gTEXdbst4XA4ihRXV1ej1+txOp1RiadFRUWEw+EeLfurzcnBdumlVD3zDEQieO65h9TXX++Q2krj8Ts2eSzTMqcxMW1id5rbJcS66GvVWvJseWz1bmWzZ3OHSLLSoIS1RhAELBYLGo2GAQMG4HK5qKmpkT3NO3fuJBKJyIRZIs2Jcm+JYkdHoXSSrFTb4RcJu/aIfuMKmUrgSO2hzbvdvXs3b7zxBvfeey/3338/7777Lrt37+7UBZYuXcqsWbPIzMxEEAT+85//RH1/0UUXyfHO0r+ZM6Mz/N1uN+eff74cE3zJJZdQU1MTdUxhYSFTp07FYDCQnZ3Ngw8+2KI9U6ZMYd26dezfv593332XefPmMWLEiF4vS91dEG1ZBEeeB4Duu4cbilbQvv22ORejPVSiOlhURNWLL3W/sR2EUiea9uwO95+Cf8b9rRaA6QrC4TBut5sdO3awatUqli5dyqZNm/D7/WRlZTFp0iSOOuoohg4dSnp6urw91lttbb3wArSH4v2D24oa5Ak7CKlfD3YO5r5J93FG3hndYmNXEI92HeoaCnSuqIhSx45SICU+5ebmMnbsWKZPn87EiRNJSkrC7XazcuVKvvrqK1atWsWuXbuoqqrqlXXkcLhFz0PJtkPsfUbp+WwtumZCoRAvv/wy1157LaIoYjabAaiuriYzM5Mnn3yS0047rUMXqK2tZfTo0cyZM4ff/OY3LR4zc+ZMXnnlFflzU6/V+eefz4EDB1i0aBHBYJCLL76Yyy+/nDfffBOAqqoqTjzxRGbMmMFzzz3HunXrmDNnDg6Hg8ubxNNK2ZiNodPpEEWRcDjcYX1MJSksBCZe3eBN3r8S9a4lhPOOa5ckC1otzjvmU/aH2Q1hF6+9hvHYY2La9o43lPKC0hJ6yu5IJCKrsXg8HqqqqtBqtTgcDjIyMhg2bBgGg6FDk1dvtLWg0eD8221y2E/Viy9hnD4dbW5uj9uSqBjiHMJHfMRmT9+rvKe08d0aARIEAZvNhs1mIzc3F1EUqaqqwu12U1FRwbZt21CpVHLCU1JSUrcUmWrJXsk+JUHJRFPpMckd9ST3NbTICD///HOuvPJKLr74YubNmycnLGzcuJEHH3yQCy+8kO+++45hHSBMHZGQk0optoRNmzbx2WefsXLlSsaPHw/Ak08+ySmnnMLDDz9MZmYmCxYsIBAI8PLLL6PT6Rg+fDhr1qzhH//4RzOS3BKkBCS/399hkqwkoiZa0giOaZAZ03/3EHW502T725p0dIMGNWx7P/88hMO477iTtDf+hdDLci9KavvG6KjdqtL16FY+Qyj/eELDzu7QuRuLwktlzzUaDQ6Hg7S0tJiL2fTmpK4bMgTL+edR8/q/IBjEc8+9pLzwPEI7uQKNIYoi+2r3URWoYpir91/w4okhzoYiQZs9mxVNHvoCOjofCYKA3W6XpUOlcet2uzl48GAUaU5KSsLlcmE2mw8/20NQcj9Xsu2g3BerrqLZalNVVcXjjz/OhRdeyEsvvcQRRxxBcnIyKSkpHHvssXz66adMmjSJ+w9Vx4oHWVmyZAmpqakMHjyYq666ioqKCvm75cuX43A4ZIIMMGPGDFQqFStWrJCPOeaYY6Ky7U866SS2bNmCx+Np9/rS7zoTctGaOkSiIjDhj4haE+rSQjRFn3X4bdB60Wy0QxoW49DOnVS98M/uNLNDUDJJ7gg0u79Bu+VjdCuflcNjmkLyFO/atYvVq1ezdOlS1q1bR21tLSkpKUyYMIEpU6YwYsQIsrKyMJlMMU9uvdnW9ssuQ5PdUFEusHYttf9+v1O/X7J/Cf/3xf/x0JqHusO8XsVAx0BUgooKXwXlvvLeNifuUNpiHIu9UjGH/Px8JkyYwPHHH8/YsWOx2WyUlpby/fff8/XXX7NmzRqKi4upra2Ny3hUKuFRMtFUeuJeX5cCbg3N3KZ+v5/169fzwAMPtPiDSCTClVdeyTXXxCbL1BQzZ87kN7/5DXl5eWzfvp1bbrmFk08+meXLl6NWqykpKSE1NTXaaI0Gl8tFSUkJACUlJeTl5UUdI2ValpSUNAuvaApJ37WzJFlJRE00JREYfwVCTQnhjCPkjt7epCNoNLjmz6f0wgshFKL6X//CMO1Y9CNG9JTpzW3qoO2JiI70mcCo89H98Djq8s2ody8lnHsskUiEmpoa2VPs9XobCnA4naSkpDBw4MA+6XESDAYct95C+ZVXAVD59NMYjpmKppWdJ4hu46HOhrjdosqiPldUxKAxkGvLZUflDja7N5OSldLbJsUNSppb4wmVSiWHBBYUFBCJRPB6vbjdbkpKSti8eTNarVZOAkxKSopph0iJcyco125Qtu0Qu/1KvmdogSSrVCrcbjf9+/+i01pTU8O6deuYPHkyKpWKzMxMqqur42LAueeeK///yJEjGTVqFAUFBSxZsoTjjz8+LtdoD1IMdGdIslLULRojMPl6uQKfcOheO1KLXTugANvll1H1zLMNagN33tUQdtGDigeNoVSS3OEXK4ODwIhz0a9+mfB3T7G20iGTYqmIQX5+fo/ELibCy6Bh3DjMZ51F7YcfItbV4b3/7yQ99miH7j3NmEayIZlyXzmbPJsYm5JY1Qy7ivMHn08wEmSgY2Bvm/KrRnfNRVLohcvlAhoScCXSvH//fjZu3Iher49SzzCZTL1mb3dDqXZD34hJVrL9saIZSdbpdFgsFmpqakhKSgJgx44dTJkyRSaFoijKntp4N1p+fj7JyckUFRVx/PHHk56eTllZWdQxoVAIt9stxzGnp6dTWloadYz0ubVY58aQioS0VZq6KRKBPHQajZ6VIAggRjp8D9YLL6T+6yUEN20itGsXlc8/jyNOuwmxQmnt31afkfRWJUm2QGgE0xCwliwnbUwV+WPH9ggpTlTYr7ma+m+/JXLwIL7vv6f+s88xnTyz2XFN20cQBEYnj+arvV+xtnxtnyPJZ+QnnnJHvPBr7ettQa1Wk5SUJK/N4XBYLuSwd+9eNmzYgMFgiPI0t1TIQWlzpwQlk2Ql2w7KDxeJFc3uWK/XM3r0aD744AMOHjzI3r172bt3LzabDWgYlAsXLmTSpEndYtDevXupqKggI6NB93Py5Ml4vV5WrVolH7N48WIikQgTJ06Uj1m6dGmUJ3jRokUMHjy43VALaJiMdTpdVGnq9qAkdYumENzbsSy8jCEHPuh4wolGg+uO+XAoNKXmjQX4V6/uTjNbt6WRJ1lJaDxBiqJITU0Ne/fuZd26dXz77besWrWKiooK7HY7gybNJJTfsJOSc+AzrFZrr0ywifIyqLJYcN50o/zZ+8gjhDuQbwAwJmkMAGsq1nSDZYdxGL1HgNRqNcnJyQwaNIhJkyZx/PHHM2zYMHQ6HcXFxXzzzTcsXbqU9evXs3//fnw+n/xbJRI2JRNNpZPMjuw690W06En+wx/+wNy5c3nkkUdkBQTpzRVgw4YN3HjjjU1/2iJqamooKiqSP+/cuZM1a9bIb7p33nknZ599Nunp6Wzfvp0bb7yRAQMGcNJJJwEwdOhQZs6cyWWXXcZzzz1HMBhk3rx5nHvuuXJZxPPOO48777yTSy65hJtuuon169fz+OOP8+ijj3a4IbRabac9yUoLt5CgrtiKdsciCgQdVdUHICmnQ7/T5udjv/IKKp98CkQR9+3zSXtzASqrtZstjoYSSbIoivh8PkKhEOvXr8fj8RAOh7Hb7TidTvr374/Vao2ahILjLkO740u0G97Ff/RfwODovRtIABiPPRbjjBnUf/klkcpKvI/8g6R77m52XNN+MSZ5DADrK9YTioTQqDpdaDShsdmzmc3uzUzPno5NZ+ttc+ICJY1tSBx7GxdygF92Xd1uN7t27aKwsBCz2YzVakUURfx+f48WCuoqEqWdY4GSCT4cjkmOwuzZs9FqtXKVPbVaLQ8ktVrNiy++KMdItYeffvqJ4447Tv58/fXXy9d49tlnKSws5LXXXsPr9ZKZmcmJJ57I3XffHTVwFyxYwLx58zj++ONRqVScffbZPPHEE/L3drudL774grlz5zJu3DiSk5O5/fbbOyT/Bg0PUavV9unEvcYIDZhJKGsCmn0rMf7wKKFTH+vwby3nn0/9d98T+PlnwiUleO7/O6577+nRgaAEkiyKIvX19XKincfjkfuX2WymX79+7ZarDWcfRSh/BqHsyaDqnWqHidbPHX++Af/KH4lUVlH/+ef4Tj0Fw+TJbf4mz5aHVWulOljNVu/WPicFd8v3t1BcXUyaKY3JGW23hZKgtMU1Ee3VaDSkpqbKye/BYBCPx8OBAweIRCJ8/fXXWCyWqJhmXS9LfLYFJXtjlU6SD8ckN8F5553X6o86SpABpk2b1uYi+/nnn7d7DpfLJRcOaQ2jRo1i2bJlHbarKTrrSZbCLRTZ8QUB/7F/Q/Pm6Rg2v0/dhMuJpHaMOAhqNa4776T0vPMQq6upX7SIuilHYT711G42upENCdreEimWiHEgEMBut+NwOMjMzESlUlFYWNhMiaVVCAL1Z73arTa3b0JitbU6KQn7NX/Cc3eDB9nz9wdIe+dtVG1UCFQJKuaNnIdNZyPH2rFdk55CPOaPIc4hFFcXs9mzuU+RZCVBKeuAVqslNTUVvV5PeXk5U6dOxePxUFFRQVFRETU1NVgsFlmj2eVyyepPiYBEemHvLJROMpX8gtIVtEiSV69ejd/vJxAIEAwGCQQChMNhVCoVXq+Xc889t881ViyeZFDO5NgUkYyx7HNOJMuzAv3Se6g/e0FUYl9b0KSn4bzlr7j/egsA3gcfQj96NJp+/brTZBmJ4kn2+XxRpNjv92Oz2XA6nWRkZGC32+WkUGioWNnbNvcFmGadRu2nnzbsZuzfT/WLL2GfN1f+vqU2npU7qydN7FEMcQ7hi+Iv+lTlvcPjpPsh5eKkpaXJifiBQEAOz9i6dSu1tbXYbDaZMDudzl4lzUomakq2HZRP8mNFiyR52rRp1NbWyiEXgiDg9/uJRCKYTCbOPvtsRcUxdQRdIclKxZZ+55JZ+TOa3UtR7/iKcMGMDv/WNGMGvu++p+6TTxDr6nD/7XZS/vkCQgcrFnYFvdX2fr9fJsUejwe/34/VasXpdDJ48GAcDkcUKW6KmEMXwkE0Wz9FvW8l/hn3duEOYkOi9XFBEHD+9WZKzzsfgkGq33gD08yT0A4Y0Num9QrkynvuvkOSIfF2MdpCoo2R9tCac0en05Geni6rQvn9frmE9ubNm6mrq8Nms8meZqfT2eEqtd1ptxKgZNtB+SQ/VrTYu9etW4cgCGg0GlQqFYFAgK1bt3LffffJ8cp9CdIbdWd1kkF5k2Nj1BvSqBk5G+vaF9GtfoX6TpBkOBQfumYN4b17CaxfT9U/X8R+1ZXdZG00eiJW1u/3y/HEHo+H+vr6KFJst9s7tUDEOkEK9RUYPrsWIRIiOPJ3RNJGxXSemK6doJO6NjcX60Wzqf7nixAO47nvflJebLsa5Ory1awqW8XJOSeTZc7qIUu7H4OdgwHk8tutJe8pea5SAhJ1rLSEjhI2vV5PRkaGrDbl8/lkT/PGjRvx+XyypzkpKQmHw9GtpFnJRFPJtkNs9veFOafF3ty4kIiE7OxsUlNTOf300znttNM6FZesBMSibgEoVuECGu6heswVaB0ZBMfM7vTvVWYzSffcTdkll0I4TPWrr2KYNBH9EUd0g7XR6A6SHAgEokhxXV0dFosFp9PJwIED47IAxGKzaEknNHgW2k0fovv5JXwnP94lGzp9/QSd6GwXXUT9518QKi4msG4dtR98gJCf3+rxL296mVUHV5FsSCYrv++QZLveTqY5k/21+9ni2cKEtAm9bdKvDok6RuINg8FAZmamrCxVX18vk+b169fj9/ux2+1RpLmt3bXOQslEU+nhCrFKwCn5nqEFneS2MGjQIFQqFX6/v7vs6TVotdpO6ST3hXALQRCIaE0Ex18BmuaC8x2BbvhwbJdf1vAhEsH9t9uJVFbG0cqWEQ+SHAwGOXjwIFu3bmXFihV8++237Nq1C0EQKCgoYOrUqRx55JEMHDiQ5OTkLhPkrtgcGHspAJrNHyPUlLZzdPyQyBOcoNPhuOWv8ufKp55GVVnZahuPThoNJIZecrzbVfImb/Fs6dHrdheUOK8qpW0hfmTTaDSSlZXFyJEjmTZtGlOnTqVfv374fD7WrVvHl19+yYoVK9i2bRsVFRWEw+GEsLs3oGTbQfkkP1a0uupLlXz2798vbzNbLBYWLFiAw+HoQRN7Br9WT3LUYhQJod69jHDeca3/qAVYZ8/G98MKAqtXEy4txX3nXSQ98nC3DqhYCGcwGMTr9cre4pqaGsxmMw6Hg7y8PBwOR7fKH3WlPSLpowllTkCzfyXata8TmPKXOFrWNhKZsBjGjcM0axZ1Cxci1tZieecdmD+/xWMlveS15Wt70MKewYVDLuTsAWcz1Dm0t02JG5S0ICuNAHWXvSaTCZPJRL9+/RBFkbq6OtnTvHfvXoLBIA6HQ/Y02+32TnknldbOjaH0mF6l2x8rWiXJzz33HA899BD79++XdZJPPPFEHnzwQYxGY0/a2CPobEyylNCYyASiPUTZH/JjevN01Ac3UPe79wn3m9jx86jVuO6+i7LzLyBSWYlv2TJqFryJ9YLzu8nyBrTX9qFQSCbEXq+X6upqTCYTTqeTnJwcnE5nj2uCdqW/BMddcogkv0Fg4tUxe/87AyUsSPZrrsa3bBkRrxfDqp8RV/4EpzdXsxjhGoFaUFNaX8qBugNkmDJ6wdquQarUaDAYMJlM8t9HJfdcnPphKB89QTYFQcBsNmM2m8nOzkYURWpra2XSXFxcTCgUwul0yuoZ7ZFmJa+3Sib4oHz7Y0UUSZYa4ZlnnuGOO+7g6quv5re//S0mk4mioiKuv/56rrjiChYsWEBycnJv2dwt6KwnGZRdmhqa2K/RE844AvXBDei/upW6C/4H6o4naGrS0nDeeScV114LQOVTT6EbNRL9qO5ZvFt6QQmFQlRWVkaRYoPBgNPpJDs7G6fT2auqLF2VDQwNmEnEmoWqeh+azR8RGvG7eJvYIhK9j6sdDuzXXYtn/h0ARJ5/jsgJM1A1eZk3aAwMcQxhg2cDa8rXkNE/8Uly46I0brcbj8eDKIpEIhGMRiNJSUmy0kAiF4HoLBK9zzXFYXvbhyAIWCwWLBYL/fv3l1/4GlcEjEQiUaS5acElJXszlU4yY4lJlpyJSkaLJPnll1/m5ptv5oYbbpC/y8nJ4b///S/jx49n3759JCcnK/6hN0ZnJeBA2aWpoTnRDEy5Ee3WT1CXb0b780sEJ3ROqcI45SisF11E9auvQjiM+5ZbSX3jX6i7ITxHEATC4bBMHDweD9XV1ej1epxOJ1lZWTidTgyG7ve2dhRd1tZWaQgccTGaHYsQbT2rSZ3oMJ18MnWffIp/5UooO0jVC//E8adrmh03JnkMGzwbWFu+lpP7n9wLlraPQCAQRYobJ0P1798fm82GWq3G4/FQXl7O9u3bWbNmDbs1uylRlXBGwRmM7DcyrglTvQGl9D0Jh+3t/PWtVitWq5WcnByZNFdUVOB2u9mxYwdAFGlW8nqr9JjevsT3OoMWwy2qq6txOp3N/m6z2WTPRl9DrCRZaR6Exmhqv2hy4TvmNoxf/Bn9948QGnxap8mY7YrL8a9dQ2D1GsKlpXjuvJOkRx5BiMPbfzgcpqqqSi7xvGbNGnQ6nUyKHQ5HQocCxWOCCY6/vNMvL12FEvq4IAg4br6Jkt+dixAKUfPWW5hmzkQ3eFDUcaOTR7Ng2wK2erf2kqXNEQ6H8Xq9MimWqp65XK4W9bclec6UlBRSUlKABrnCq76+ikJvIUafkbItZTgcDtnTbLfbe+v2+jyk8aEkApGIhKcxac7NzUUURaqrq2XSvH37diKRCDqdjl27duFyubBarQl3H61BFEVFv7jGqm6hdLRIkqdOncrbb7/N+PHjGTRoEHV1dahUKu6++26ys7PliVkpnbMj6GxMMig/3KIlT3hoxO8IbXgPzb4VGL76G/VnvtzhSnwAgkZD0j33UHrBhUQ8Hnzffkf1v/6FbXbnJeYikQiVlZVyXHFVVRUajQan04larWbQoEGkpaUprh92qc8IPTtJKalttf37U3fqqZg/+qhBO/nee0l95WWERgvT2JSxvDr9VQrsBb1mZyQSoaqqCmioblpVVYVer8flcsUcK6/X6xmZNpJCbyFCmsCUIVOoqKigoqKCXbt2IYoiZrOZQCBAbW0tJpNJUc/2MOKLRCTJTSEIAjabDZvNRl5eHpFIhPXr11NbW0t5eTnbtm1DpVLJXmaXy4XFYknY+1JCm7cFpdsfK6JIsvSWcOedd3LOOedw4oknMmXKFGw2G5s2bWLr1q089dRTFBT03gLTXTgcbiH/Ef8J96N+/UQ0OxahKfqc0MCZnTqvOjUV1113Un7Nn0AUqXrmWXTDh2MYP77N30UiEaqrq+XwicrKSjQaDQ6Hg7S0NIYMGYLRaEQQBJYvX45er1fUoI2nbKBQV4G28A2CQ85AdOR2+XxtQUkvgvUzT8L888+wZw/BTZuo/fe/sfzul9htk8bEIMegNs4QfzTO8pf6ttQX0tLSGDZsWFx2QCQZuK3erXLClBT7WVVVxe7du6mpqeG7775Dp9PJXuakpKSEq6CqpD6nVE+y0qBSqdDr9Wg0GoYNGya/bFZUVFBWVsbWrVtRq9VRpNlsNifMc1E6yYwlXESJ/awpWvQkZ2VlsWzZMhYsWMDXX3+Nz+dj2rRpvPXWW+Tl5fW0jT2CWDzJfS3cQkIkaRCB8Vei3vcjEWdsz9swaRLWOXOofumlBv3kW24l9fXX0aSn/XKdRqRYkmZTq9U4HA5SUlIYNGhQqx4vJbZ9PCdIw+d/RrNjEYKvEv+02+N23qZQ3KSu0cBVV8IttwJQ+cyzGKZNQ5OW1uxQj9/Dkn1LOCv/rLibIZXzlWKLQ6EQDocDp9NJXl4eOp2O7777jszMzLhtYUrkf6tnKxExgurQroMgCNjtdtLT06murmbSpEl4vV7Ky8vZtWsXhYWFWCyWqCTAniw13BoU1/cUBiW2b+M5X6VS4XA4cDgcFBQUyDuPbrebkpISNm/ejFarxel0yv26N3dQ+kJM8uFwi8ZfaDTMnj2b2U22yftqXMqvUd2iLaIZOOp6UGm6tL1vu+xSAhs24P/hByIeDxV/vRnDQw/hra2VSbEgCPIkNmDAgA6/+SuRJEuIh92B0Reg2bEI7fp38E/5M2hN7f8oRiitnYVhwzCdeSa1//kPYl0dlY89RtL990cdUxusZfZXsyn3leMyuDg289guXTMUCsleYrfbHVXCfPjw4c2krTo713QEubZcdCodtaFa9tfup5+l5XwCtVotE2LJFrfbTUVFBZs3b6a+vh673U5SUhLJycmd1rL9tUGpnmQl2SuhLbtVKhVOpxOn0ymTZinWf//+/WzcuBGdTidrNLtcLnlnsrdtVwKUTvJjRaskuaamhvXr17N161Zqa2sJBAKIokh5eTmzZ89m4MCBPWlnt6OzFfegj4ZbSFA3iYkM1oO2k1vCKhW6m2/Cd/kVCGVlBNdvoOKuuwldeglOp5P8/PyYY8iUSJLjGW4RzjuOiD0HVeVutJs+IDjqgi6fsy9AamP71fOo/+YbIh4P9V9+he/05RgmT5aPM2vNnNT/JBZsXcADqx9gpGskLoOrw9eRvFYSKa6ursZoNOJyuSgoKMDhcKDVti+hGM8+rFFpKLAXsMmzia2era2S5KbQ6XSkp6eTnp4ONJQaluKZV69eTTgclolFUlJSj8R9Km1sKw1KJWyd8WY2jlceMGBAVILsvn372LBhg5wLIPXv7kz8VronNpbEwz4nASdh7969XHrppXzxxRfY7Xa0Wi0qlQqTycSBAwc4+uijGThwYJ/yKsfiSVYiUWuMDnnCg/Xov3sQ9c6vG7ST2yDKkli85FHzer2IokjSlVdg//sDCIEAtuXLcR4/HfMZZ3TJdiW2fVwnC0FFYMxsDN/chXb1qwRHnt+pBMsOX0aB7SyKIiqbDfs1V+O58y4AvA89TNpbbyI0ir29bOhlrChdQVFlEff/fD8PTn6w1WckyVNJpNjr9cpJpIkkNzjIOYhNnk0UVRYxPXt6TOcwGo3069dPrppWU1NDeXm5nCzV2BPd3cRCCVCiJ1nJiLWdm+6gSMWm3G43e/bsYcOGDRgMhihPczzHtFJfTCREIpGECMPqaUTdsUR6H3nkEUpLS1m6dClHH310qz/uKwQZGrwpdXV1nfqNSqXqu55kCeEAmi0fo6opRf/9w/iP/Zv8lZSQ1JgURyIR7HY7TqeT3NxcLBYLKpWKWkGQCYvn7w+gyclBP2ZMl+xXGnmTEC+7gyP+D/13D6Eu34x63wrC/SbF5byNoeRJ3XTqqdR+/DGB1WsI7dlD9euvY7vsMvl7nVrH/PHzmfP1HL4r+Y6Pdn3EmXlnyt83LeIhFTrobGhQT+LiYRdzybBLyDC3XCils/Y2luWSFAa8Xi8VFRXs3buXDRs2RBU1SUpK6pAHvaPXPozugVIJWzyJmkajITk5WS6MJoVMud1udu/eTWFhISaTKSoRsCukWenhCkr3hMeKFnvbnj17OOmkk2SC3HRRV/KDbg2HdZJbgcGOb8YDmP5zEdpV/6Q6+3gO6nNkYhwOh2VS3L9/f6xWa4sDyXzaaQQ3b6HmnXcgFKLixptIff01NIe2eLvF9gRDPMMtADA4CA77DbrCBWhXv9ItJBmU9TLSeG4SBAHnjTdResEFEA5T9eprmGbORJOdLR9TYC/giuFX8NS6p3ii8AnyVHno6/W43W78fj82mw2Xy0V2dnarfTuR0NEQi1jReAt74MCBhEIhOZ65qKiINWvWyPHMSUlJzTSeOwol9TklepKVSpKh+9q5qfZ4MBiUSbOU4Go2m6NIc2dUYZTc5tB5ki+KoqLGcWuIIslSAxx11FHs3LmTPXv2kJ2dregH21H8WklyW55wqXCM1zgMV8Z0Ug4sRve/6yib+ASOpFT69evXrGxoW7Bf+yeCO3fi//HHhkS+628g5aUXm5UP7qjtSmv77hhHwTEXod3wb0SdFUQx7iEXSh/72gEFWM77PTX/egMCATwPPkTyE4/LFRsrKysZz3gG6geyzb+N5zc+z3UDrmPw4MHY7fY+tb3YHeNFo9GQmppKamoqAD6fD7fbTXl5OYWFhQSDQdn7npSUhM1m63CfUkrfU9o8BMolbD3pjdVqtVF9OxgMyiW0d+zYwdq1a+WiP9K/tvTNle6JVbr9saJFknz66adz+eWXM2fOHP7whz+g1+sJBAKy12DGjBmMGjVKsQOtJUj32Bn0RXULaYtZKuARCASw2WwEj7gOl2cNVt8+JvqXEsj7S+evp9GQdN+9lF08h9CePQS3bcNzx5247r+v0xX5lEiSIf52R1KGUnPlz2A4XFFNQtP2tV16KfVfLCJcWor/hx8ofvsdKgYPoqqqCq1Wi8vl4i8j/sIn5Z8wb9Q8LFpLL1keH7xf9D4rSlZwwZALGJU8qkevbTAYyMzMJDMzU85RkJIAd+zYgSAIcsxncnJyj6oLdDeUdB9KnDuhd8m9VqslLS2NtENykpIqjNvtpqioiJqaGqxWaxRpbhx6pHS+pHT7Y0WLMckvvfQSS5YsITU1lblz56JSqVCr1RgMBkpKSnjmmWcYNWoUkUhE0WUWG0Oj0fwq1S2CwSAHDhyQibG0xexwOBg6dCh2u11+xgH1fRgXXoluxVOEBswkkjay09dU2e0kPfIwZRfPQaytpX7xYqpfeikqVrSjtit5oo8rupkgK7md6+vrcbvd1JxzDpannwZAeOUVUp95Oqo4DcCInBE9Zlt3LjY/lv7I4r2LGZU8qsdJcmMIgoDFYsFisZCTkxNV/KGkpIRNmzZhMBii9JkTrahJX4YSCU8iEbWmqjB+vx+Px0NFRYWsCiaFa7lcLsXHJPcloYbOoMWKe/Pnz+fmm29Go9HIyhZqtbrZA+4rBBkaOvyvwZMsDWSPx8PBgwcJh8MyKW5vizk06DSCg05Fs2spQvUBiIEkA2jz8nDdew8V113fUJHvhX+iKSjANL3j2fhKJcndOUmqyjZCqJ5I5ri4nVNpk7pUXW7jxo14PB6CwWBDzPyxx6D5aSWhFT+i8niwfPIppmv/1Oo5PtvzGcdlHodB0/uKFZ3FIMcgvtrzFVs8W3rblCg0Lf7QOFFq586drF27FqvVSlJSEn6/XzEOiMMxyT2HRLZbr9dHkWYp9MjtdrN582bq6urw+/1UV1fjcrlwOp2KCueKheT3WQk4g8GAVquVA68jkQjhcBhRFAmFQuj1+rhlMCcKdDpdn/QkBwKBKPWJuro6uciBw+HAZDJ1SvPaf/z9+EP1iLasLtllnDIF+9XzqHziSQA88+9Ak9UP3eCOlQxW6sDrLnKvWf8Oxs9vIJw+hrrzP4nruRP5ZUSScZLIVm1trbxYNd0JCd38V0rOPRf8fmrefhvTqaega6HvP7D6AT7e9TEb8jfw5zF/7ulb6jIal6dOZDRNlAoEAnJoRk1NDVu2bKG0tFT2NCdqUZNEHh+tIZHJZntQit2NQ48Avv32W5KSkggEAmzcuBGfz4fNZpN3URwOR0KT5sMxyY2watUqFi5ciMlkwu/3EwwG8fv9qNVq3G43p5xyCqeffnqfcr/3lcS9QCAgkwaPx0NdXR0WiwWn08mAAQNk3WuArVu3dr4Wu6lJwYUuJItZLriAYFERdf/9H6LPR8UNN5D6ysuoDy2abSER276j6A67w/nHI6p1qEvWoDqwmkjGEXE5b6ItSNKWvSTLVlVVJWub5uXlceDAAVlppSk0/bKwXXQRVc8/D+Ew3r8/QMo/X2gWDz89azof7/qYD3Z8wJT0KUxOn9zsXIkMqTz1rqpd+MN+9GplhDDodDoyMjLIyMjA5/PhdDrR6XRUVFSwe/duRFGMKmqSaBJ8iWRLe1Dq3KnkkAVBEEhKSpITAaVQsIqKCtavX4/f75eVYSTSnEi79Up+seoKokiy1AirV6/mvvvuIycnB2jYJguFQhw8eJCamhqGDx8uH99XoNRiIsFgMIoU19bWYjab5dKcbVX+6qr96l1L0H/3MHVnvwEGR6d/LwgCzltuIVS8h8D69YRLSym/9jpSXngeldnc7m97u+1jQXdNMqIpmdCg09Bu+gDdmlfxxYkkQ++Ocyn5SyLFXq9XliHLyMhg2LBhUcUsSktL2zyf9Q8XUve//zb0ucJC6j75FPPps6KOOTLtSH5b8Fve2/4e9626j3/N+BcOvaM7bq9bkGJMwaF34PV72VG5g6Guob1tUqchiiI6nY7s7Gyys7MRRZHq6moqKiooKytjy5YtaLXaKH3m3irmosR5CJRF6htDqXY3JZlGo5GsrCyysrKi8ifcbjeFhYUEAgEcDof8YuhwOHrVKdmXnKKdQYvqFpdeeimXXnpps4MXLlzI4sWLOfnkk4G+F5Pc2XCL3igmEgwG5XK4Ho+HmpoaTCYTTqeTvLw8HA5HmzI0jdGlcJFwEMPiv6Hy7MSw6K/4TnsmJo+yoNeT9NCDlM25hPCBAwS3bsV9620kPfwQQhtbT0omyd1ld+CIi9Fu+gDNloUIx/4N0ZTc5XP2xoIkxfI11uJ2OBzyi19bHsT27BV0Ohw33kj5vKsBqHziCQzHTEXtcEQd98cRf2Rl2Up2Ve/iwdUPcu/EexWzOAuCwCDHIH4s/ZEtni2KJMnQXPPaZrNhs9nkoiZSklRxcTHr16/HZDJFJQH2dEigUvoHKNcrqGRPclu2C4KAyWTCZDLJlS7r6upkT/OePXsIhUI4HA65f/d0+JFS+0xX0aEAGOkNYtasWXz//ffcfvvtvPnmm4RCoYSOoekMYknc6wmiJsVcSt7i6upqTCYTDoeDnJwceUsyFnTJfrWW+pOfwPT2WWi3LiS04ThCI/4vtlMlJ5P8+GOUXXIpYnU1vu++w/vQQzhuvrnNQalEkgzdZ3ck4wjC6aNRl6xFu+4tAhOvjst5u7udJdF+Ka5YitWTSj53Rou7IzBMnIjxhBOoX7SISGUlVU8/g/PWW6KO0av1zB8/n0uXXMqS/Uv4X/H/OCXnlLjZ0N0Y7BzM6oOr8fq9vW1Kt0ClUkWVGJY0bCVlgbq6Omw2G8nJyd3uhVPiPKRkwqNUuzvT5oIgYDabMZvN8k6KtKMmVQSUnAeSpzne82RTHPYkt4DGgz8SichZyH2FGDeGVqtNCE9yOByWCbHX66W6uhqDwYDD4SA7Oxun0xk3maSuJh5GMo4gcNSf0X/7dwyLb6M2awKiMy+mc2nz8kh+6CEOzpsHoRC1H3yIOjMT2+zZrdquxMWpuyf4wBEXY/zftWjXvE5gwlWg6tpY7Q57pSIeEimurq6WQ4QGDhzY5QSWjvQLx3XX4vv+e8TaWmr/8x9Mp89CPzJarWWwczCXDr2U5zc+z+OFj3Ns5rGYtW2HASUKLhl+CXNHzUXTxeevFDTVsPX5fHIS4Nq1awmFQlFFTaxWa1z7tlKJm9KgZE9yVxLfGssp9u/fH1EUqampkUnzrl27iEQiOJ1OmTTHu0Kokl+suoIWZ9Bdu3bx4YcfYjQa8fl8BINBgsEgP/zwA5s3b+b+++8H+la4RawxyV0lyY0Jg9frpaqqCr1ej8PhICsrC6fT2W2xdvEgmoEJV6HetQTN3h8w/ncedef+B9SxbXPqx43FNf923H+7HYCqp55Gk5GB6cQTmx2rZJLcnXaHBs0isuRuEMOoPDuJJHVcuaQ1dNVeKZ5UIsWVlZVotVqcTmfcX/w6CnVKCrYrrqDyH/8AwHv/30l9/bVmIT4XDL6AXdW7+E3+bxRDkAHFF0Tpap8zGAxR8Z41NTUyaS4qKoryRCclJWEymXrN1t6AkgmPUu2OZ5sLgoDVasVqtZKTkyPPsY0rAgIyaXa5XJ2qdtkSDnuS+eUhrlu3jhtuuIGkpCREUUStVmMymRg8eDAPPvggZ555JqDcztoSYpWA6+wEGQ6HqaqqkreXq6qq0Ol0OJ3OFhORuhNxIWwqNb6Tn8D8rxNQl6xF9/3DBKb+NebTmWbOJHTgAFXPPAuA+447UaekoD8iOhFNqSQZunlR1eip/+3bRFwFoI4tDKcxYhnjUhKKRIo9Hg8ADoeDlJQUBg0ahMlk6pb5ozP9wvLbc6j75BOCW7cS3LaN2g8+wPJ/0SFDakHN/Anz425nb0Bp46U7CEVubi6RSITKykoqKirYv38/GzdulIuaJCcnt1teuDtt7SkolSQr2ZPcnbY3jtnPzc2V9eIbVwSUql1KnmaLxdIpe2LtM0p9XhJaTNybNWtWmx7SvvhGIcUkd6YjdKSYiCRZ1ZgUazQamRQPHTq010qzxqsYimjLxHfCAxgXXolQV9ElWTgA60UXEd63n9qPPoJgkPI//4XUl15Cm5sjH6NUktwTdkdS4puo1RF7JT1uiRRLckYul4v+/fvHfesvHhA0Ghw33cjBSxqSlCufex7jjBmoXa5Wf7O3Zi9alZY0U1pcbOjOvvDi+hdZvHcxl4+4nGn9pnXbdZQGlUqF0+mUZTGloiYVFRVs376dNWvWyPq1SUlJOJ3ONndNlUg4lWizBKXa3ZM6w4IgYLfbsdvtcqKrRJrLy8vZtm2brBIk/WuPNPdF3tcRtBqwJrnvS0pKKCsrQxAEUlJS6N+/f69J7XQndDpdTDrJTV8mIpGIvLXs8XiorKxErVbjdDpJS0tj8ODB3eZF6yziSdhCg06j9tz/EMka3+VzCYKA4+abCJWW4v/hB8SqKsqvuYbUl16UNZSVTJJ7DJEwKvc2IslDYj5Fa/ZKsfMSKa6pqcFiseByuRg8eHDCaXy2Bv2oUZhOO426Tz5BrK6m8plncN12W4vHfl78Off/fD8TUifw4OQHE2IMt4XSulK2erey0b1RJsmJbrOEnhzbTYua+P1+OTRD0q9tHM9st9sV046tQYlzJyib3Pem7Y2rXebn58u7KW63W5ZU1Gg0UaS5qYqQktu+K2iVJBcVFXHTTTfx+eefy9sEGRkZXH755fzpT3/qc0Q51mIiTT3FlZWVcofs7q3lriLeRDOKIIsRiIRi3vIXNBqS/n4/By+/guDWrYQPHODg1deQ+sLzqLoYW9Xb6IkFSqjej+nt3yDUe6i5chXoYo9RlapuSjFvUj/X6/W4XK4uq6z0Nuzz5lL/9deItbXUffQxlrPOQndIC74xBjsGExEjfFfyHUsPLOXYzGN7wdqOY5CzoahIolfeaw29Ncb1er1cKU2S4pJI865duxBFUZbhSkpKSviqq61BiXOokolaItneeDeloKAgKgSppKSEzZs3o9Vqo0hzOBw+7EmWsHfvXubMmUN9fT0LFy5kwIABBAIBPvjgAx5//HHq6+u54447+pT7vaMkWfKwe71eDhw4QF1dHV6vV9YvHDBgQMJVgmoN3eaNrfdg/O/VROz98c+4L+bTqMzmBmm4Sy8jvG8foe3bKb/uepKffkrRnuSesFu0ZCBqDKiCtWg3fkBwzB869/tD5KCsrIxgMMiyZcvkiTUtLU0OE0o0xNK+6qSkqCQ+zwMPkvrKywhNPOG5tlzOG3Qer295nUfXPsr4lPEJncwnk2SPMklyIqCxFJekKlBVVRVV1ESj0RCJRNi/fz9JSUk9noQaCxKJsHUGSrUbEtv2xqQZfhEUaBy3L4oiW7duJTU1FZfL1W6yqxLX55bQKknevHkza9euleuOA9x4440YjUaefPJJ7rjjjj71ZtFauIWUGS2pT3i9XkRRxOFwYDKZUKvVjBs3LmE7f1uIhzpHS1CXrkO96xs0iISzxhMa+pvYz5WcTMpTT1J2yaVE3G4ChYW4b/4rwpVXEFFg3+uxfiIIBEdfgPrrO9CufY3g6AvbjRP3+/2yp9jtdhMKheQ4tbFjx3Y60UNJsPz2HGo/+ojQ9u0EN22i9uOFWM46s9lxFw2+iC/3fMn+uv28tOklrhl1Tc8b20EMsA9AQKCsvgyPz9Pb5nQKibrANo71zM/PJxwOs2/fPjZv3syuXbsoLCzEYrFEFTVJRMnURG3f9pDIRLMtiKKoKNvVarXsQYYG0rxo0SL0ej179+5lw4YN8k6i1M8T0WkSD7Q4eg0GA06ns8WbNhqNFBQUAPR4RaPuhESSw+Ewq1evprq6mpSUFDwej0yKHQ4Hubm5WCwWVCoV+/fvp7S0VDEdvym6y6sZzj2GwKRr0P/wOIYvbqIuZTiR5MExn0/Trx/JTzzBwSuuQKytxffdd2gFAd/ll8XR6p5DTy1QwWG/Rb/s76jLt6Det5JwvyOjvpcSliRSLBVgcDqdDB8+HLvdTm1tLWvWrMFqtfaIzb0FQaPB+Ze/cPDKKwGoevppTNOPQ2W3Rx1n0Bi4YcwN3PD9Dby3/T1OzTmVAntB56/XA3OGWWumn6Ufe2r2sNW7lRxy2v/RYXQKarVajr8/6qijCAQCclGTzZs3U19fj91ul5UzerpKWmvoySSyeEJJRLMxpDlfibYDcl8pKCjAYDDIRc4aV7yUFGIkcq3T6RR7v43RIknu378/U6dO5W9/+xv33Xcf9fX1qNVq1q5dy4IFCzjnnHPYt2+frOmbn5/f03bHDaIosmnTJt577z2CwSC5ubn4/X5mz57NvHnz2szM742y1PFEt5ZInnw96v0/oylehvE/c/BNv4twv0mgi217Wjd4EMmPPMLBa66BQAD1t9+itZgR77pLUQOxR8NEDHaCQ85Et/5ttGtfJ5g5vlkRD6PRiMvloqCgAIfD0eKLr1K9Tp2FftxYjCedSP3nXxCprKTy2edw3nxTs+Mmp09mWuY0luxfwpPrnuTRKY8mbB8c6BjInpo9bPNuI8ehLJKcqG3aFI2Jm06nIz09nfT0dADq6+vleObVq1cTDodl71ssMlzxhFLatzGUTpKV+GICyDxHsl+j0ZCcnExycjLwi8NFKmxSWFiIyWRixIgRZGRk9Jrd8UCLJFkURXbu3Mny5ct5//33GTFiBJWVlaxduxaXy8XixYv54IMP8Pv95OTksGDBgp62u0s4ePAgH3zwAV9//TVLliyhsrKS8eMbks5efPFFjjvuuA7FlSk1LlZCt9qvUuM79SlM/zoJVeVuTB/ORlRpqfljIegPeSXrPWCwg9CxiUM/bixJ995DxU03QySC7rPPqe6fg+2yS7vnHroBPTnBi6JI5cBzSFn/Nuotn/CD7gQixiS53HNHCtUobUHqap92XHMNvmXfItbVUfvBB5jPPAPdkObqIH8c8UdWHVzFCNcIIkRQk5hKHoOdg9leuR1dHDSzexJKnlcbw2g00q9fP/r16yeH7pWXl1NRUcG2bdtQq9VRRU16astaYYnYRgAA2kVJREFUyWRTqXaD8uZTCe3Z31QhRioT35UiPYmCFkmyIAg4nU4uvvhiuVG0Wi3HH388giAQCoUwGo1EIhFSU1PbvcjSpUt56KGHWLVqFQcOHODDDz+UC5JAwwOYP38+//znP/F6vUyZMoVnn32WgQN/qRbmdru5+uqrWbhwISqVirPPPpvHH38ci+WXrP3CwkLmzp3LypUrSUlJ4eqrr+bGG29sZs/evXt5++23Oe6445g7dy5HHnkklZWVpKWlMWXKlA4nXsRLZ7i30N32i6Yk6s79EN3KZ9HsWgIq9S8EGTAuvAJ12XrCaaMJZxxBOOMIIhlHIJqSWz2ncdo0nLf8Fc899wJQ9cILCHod1j90LjGtN9Gdbd60iEckEuFY2yCsVVuZ5KhAGH96pydqJffxzkKdmort0kuofOJJEEW8Dz5Eyov/RGjiAepn6cd/Tv4PRk1ix+HNGTaHS4ZfAkBJSUkvW9M30VHi1rioiaRdK21ZS3GeRqMxijR3V0ijksmmEu2WPLFKtB06b79WqyUlJUWx99sYLZJkl8vF+++/H7eL1NbWMnr0aObMmcNvftM8ievBBx/kiSee4LXXXiMvL4+//e1vnHTSSXIlJIDzzz+fAwcOsGjRIoLBIBdffDGXX345b775JgBVVVWceOKJzJgxg+eee45169YxZ84cHA4Hl19+edT1jjjiCL7++uuov0nyVZ2RgTvsSW4foj0b/4z78AP4Kht9IaKq2Ibgr0JTvAxN8TL5q4gtm1DeNPwz7m/xnOYzzqB8zx7Ur70OQOWTT4FWh/X353bfjcQJ8W7zQCAg6xW73W78fj82mw2Xy0V2djZWqxV1wf3UqjSoMsZ2qcjLrwWWc8+l9qOPCe3eTWDdOur+9z/Mp57a7LhEJ8ig3EUZlG17R9C4mMPAgQMJhUJyPHNRURFr1qyR45mTkpIUoz3enVAqSVZ6uIXS7e8K2ky7bbqYt7a4t9dwJ598MieffHKr13jssce47bbbOOOMMwB4/fXXSUtL4z//+Q/nnnsumzZt4rPPPmPlypVyWMSTTz7JKaecwsMPP0xmZiYLFiwgEAjw8ssvo9PpGD58OGvWrOEf//hHM5LcEqQ39s6S5MMxyZ2AoVESlCBQe/mPqMq3oC5ZjfrAalQHVqN2b0NVtQdVZXHUT43/Ph/Rkk44Ywzh9NEIp86kvqYW46GXucp//ANBp8Vy9tk9dz8xoKttLhXxkBLuqqursVgsOJ1OBg8ejN1ub5ZNH+43sUv2KgnxsFfQanH8+QbKr25Qrqh84kmMxx6LytKy1vSqg6t4r+g97phwBwZNYurHR8QI4Ui4t83ok4gXcdNoNKSmpsq7sz6fT66QVlhYSDAYjCpqYuuCXrySyaZS7QblzacSYvWEK/V+G6NNktz0Brvjhnfu3ElJSQkzZsyQ/2a325k4cSLLly/n3HPPZfny5TgcDpkgA8yYMQOVSsWKFSs466yzWL58Occcc0xUQYOTTjqJBx54AI/HI+v/tYZYPMlKD7fodU+4WkskbQSRtBENEmUA/irUJWtB/cs2o1B7EM3ubwDQbngHgKEqHbVJedQen4/nqx0AeP/+AIJWh/n0WT17H90ISZdb8hRXVlai0+lkT7GURdxhhHzQSSKntD4eD3sNkyZhPO446r/+mojbTdULL+C4/vpmx4UiIe5bdR8H6g7w/o73OX/Q+V2+drxx/0/389muz7hq4FWKUbhQWp/rDhgMhqiiJrW1tXIS4I4dOxAEISoJsDNFq5RMNpVqNyiXNErtrlT7u4JeF3CU4uTS0tKi/p6WliZ/V1JS0iz2WSqh2PiYvLy8ZueQvmuPJKvValQqFYFAoMO29wVPcsLZr7cRzpka9SdRZ6HujJdRl6xBXbIWdekaVL5KrFVbsCRvQTz2KLzf7ALAc889aHf8F9MppxJOPwLRmplQIQbtvZhIRTykuGKv1wsgF/EYMmQIRqOx85NVJIx+8W1oN/2H2j98jmjv32F7f62wX3ctvu+/R/T7qXn3Pcynn4F2QLTcm0alYc7QOdy76l7+tfVfnJl3ZsIVGBEQqA3VsqtmFzkqZZBkUE7f6wniJggCFosFi8VCTk6OXOlVqpC2adMm9Ho9ycnJsgxXW7k1Siabh+3ueUhVl3+N6HWSnEjQ6XSEQqEOH9/rntguQjH2a42EB5xIeMCJDZ9FkdItKwjv/pE8vQdb/6mEMtdQ89bbIIqUvfkTWbsWYcv2ETElE0kfTTi9IUwjnH4EGNt+YepOtNTmfr8/KtkuGAxit9txuVzk5uZitVq7PkGp1Kg8uxAC1WgLFxCY+tcO/1QRfeQQ4jmRazIysF58EVXPPQ/hMN6HHyb52WeaXeOk7JN4Y+sb7K7ezbtF73Lx0IvjZkM8MMAxAICdtTs51prYpbSViN4YHyqVStbuLygoIBwO4/F4qKioYOfOnaxduxar1Sp7mZ1OZ1QYlpLGdGMolWwqnWTGqqut5HuW0OskWdKTLC0tjdLTKy0tZcyYMfIxZWVlUb+Tkhyk36enp1NaWhp1jPRZOqY9aLXaTnmSD4db9BIEgZA1m/J0I5mjRwNgv+44xECQ2vffB1Fg33IX4WAV9pxyNHVfodnxFQC+afMJjmsoQiLUVaCq2Eo4bVTM+s2xIBwOU15eLpPi2tparFYrLpeLoUOHYrfbuyVBJzjmQjTFy9Cue5vA5OtB0zGZw18zrBdcQO0nnxLeuxf/qlXUL1qE6cQTo47RqDTMGTKH+Svn896O9zhv0Hno1YlTmnigo0ElaGfNTujbNWF6Db09TtRqdZRubSAQkEMzNm7ciM/nw+FwyKRZqWRTyXYrOelN6SS/K2iVJH/00UfU19cTCAQIBAIEg8Fm//X7/dx3331dMiAvL4/09HS++uormRRXVVWxYsUKrrrqKgAmT56M1+tl1apVjBs3DoDFixcTiUSYOHGifMytt95KMBiUk/AWLVrE4MGD2w21gIZJTqvVHk7cUwia2i4IAo4b/4IYDFD38UKIQMmPNkrXJGEYmI4pA0yWUoSk4fJv1Du/xvjZtYiCiohrYJTHOZIyFOKkLSttjUoFPDwej1zEIy8vD6fT2SPVK0MFJxKxpKGqKUWz7X+Ehp7Zod8prY/E015Br8dxw/VUXNcQj+x97HEMRx+Nqon+53FZx/HshmcpqSvhf7v/x5n5Z/a4ra1hgL3Bk+wOuKkJ13T79eIBpZKhRIFOpyMjI0N2PNXV1cmkeffu3YRCIWpraxEEgeTkZMxmsyLaW6n9Qql2S1A6ye8KWiXJZ511FjqdDoPBgEajQa1Wo9Fo0Gg0aLVatFotKpWKe+65p93Gq6mpoaioSP68c+dO1qxZg8vlon///lx77bXcc889DBw4UJaAy8zMlLWUhw4dysyZM7nssst47rnnCAaDzJs3j3PPPZfMzEwAzjvvPO68804uueQSbrrpJtavX8/jjz/Oo48+2uHG6KwnWckkE5TvCW9qu6BS4bzlFghHqPv004ZjAkHqN+yhfgNUAPzvJnTDhqE/YgwmmweNLgNt4ADqii2oK7ag3fBuw+80eup/8y/C2UdJF+twbLOUZCN5ir1eryz3pNfryc7ObhY/3yNQaQiOPB/98n+gXft6h0iykif2eMF49NEYjj4a37ffEjl4kOqXXsZ+9byoYzQqDb8b8DseL3yct4re4vS801F1sEhOd8OsNZNlzmJf7T72B/f3tjl9DkogQCaTCZPJRHZ2NqIo8uOPP6LRaCgvL2fr1q1otdoofeb2igz1BpSc/KaEPtIWlG5/V9AqSdZqtSxbtowJEyZ0+SI//fQTxx13nPz5+kNZ4rNnz+bVV1/lxhtvpLa2lssvvxyv18vRRx/NZ599FjVQFyxYwLx58zj++OPlYiJPPPGE/L3dbueLL75g7ty5jBs3juTkZG6//fYOyb81vufD6hbKQGu2C2o1zvm3Yzp5JnWff4Hvhx+IHDz4ywF+P4HVqwmsXk01UKpSoy2YiqEgFWO6iNlcir52A4LPS8T1SzEb3Q+Po9mykHDWBMJZ4wlnHYloy5aJsyTXJEmzhcNhHA4HTqeTgoIC2VNTWFjYI17j1hAcdV7DvexrkN+LJA/u0O+UMkl2l42OG66nZMUKCAapfustzGeegSY7O+qY03JOY8m+JczKnUVEjCQMSQYY5BzUQJIDh0lyvKG0OVQQBLmssJQEKMUzFxcXs27dOsxms0yYXS5Xr85ZEpRMkpUerhCJRA57kltCXV0d0LZeckcabtq0aW1OJIIgcNddd3HXXXe1eozL5ZILh7SGUaNGsWzZsjaPaQuxhFuIoqgYAtEUfZEkS98ZJk7EMHEioigSKi4msGYN/tVr8K9ZQ3jfvl8OjkQIbttOcNt2qg/9SZ1RgH5IPrpPv0Y3ahTaAQNQ7/tR9jZT+AYAIWMyVY7hlOnzKHJMxeJIlks+22y2VsdGb7a5aEknlD8D7fbP0a57C/9xd7R5vBL7dXdA068f1vPPp/rVVyEYxPvY4yQ/8nDUMWatmWePfbZ3DGwH41LHUV1XjUPt6G1TOgSlzUtKHCeSzSqVSibE8EtJ4YqKCrZu3UpdXR02m43k5GRcLhdOp7NXCJOSSbJSOYKEWEi+0sZwa2hGkqWHqVarCYcbxOd7Qi+5txFLTLI0USh1APRVktz0OG1ODtqcHMyHitWEDx6UCXNgzRqCRUUN4RSHED5wgLoDB6j7+ruGcxiNaIcMRJ15NhpbFWbtLuzBHWjqy3HVf4NDs5K0Wbeh0TXsfKh3fAW1NsLpo5vFNSdCmwfHziGSMpTgyI5XKFRSH++u9rVefBG1n35K5OBBfEuX4vvhBwyTJnXLteKNcwedy7HWY9m9e3dvm9Jh/Nr7W3eirfGs1WpJS0uTJVR9Pp8czywVNWmszxwX9Z0O2gzK6ReNofSYXqXb3xW06kmORCL4fL6etKXXEUtMMihzkgRle8K7QjbVKSmYTjwB04knABCprsZfWEhA+rd+A2Kjvi/W1xNYXQirGz5XCwIHcyZiHJSJMVXA0N+CWvuLmoFhyR2oPDsRNQbCmRMIZ09u+Jc+OiHaOdx/CuH+Uzp0bCLYmyhQmUzY583DM38+AN5/PEramwsQmlQ4rA/V8+nuT9lXu48/jfpTi+c63K59C0p7np2Z8w0GA1lZWWRlZSGKIjU1NTJpLioqivJES0VNustmUF5bg7KcDC0hVvuVfM8SWvUkZ2VlYTQagQbCHIlEmpW77WvQarWd1kmGhvbpDsmu7kZjkq+0zhxPj6zKasVw1FGIRxxBjceDu6yM2o2bMOzaiXXffvQ7d0J5+S8/EEXCu3ZRs2sXklaA6tkf0Y0aiX7EMMT6HEzaKjTBCjTFy9AUN4QAiRoD+WnHcnDy7XGxuyehlBfB7u7HppNnUvvvfxNYt47Qzp3UvPdvrL+P9sjvr93PP9b+A42g4aLBF2HX21s5W8+jKlRFbbA24QqeKBlKnD9jhSAIWK1WrFYrubm5RCIRKisrqaioYP/+/WzcuBGDwUBSUpIcntGpiqBtQMkkuS/EJCvZ/q6gGeuVXOrbt28nEonw/fff891336HVasnKymL8+PG9k5nfA9DpdL86TzIo0/54DNhAIBCVbOf3++UiHv1POxWr1SqPh1BJqexp9heuJbh1GxwKRwKIeDz4vlmK75ulVAJozOgGDMeQbcbkqMKs2oQu5AaV+pf2Dgcxfnwp4ayJhHKOIZI6DHow2Uu9/Ut0hf/CN20+ojO/xWOUODF2Z38WBAHHDTdQdtFFAFS98AKmmSehbiQzWWAvYJB9EFsrt/Ll3i85u+DsLl83EokQCoXkvmowGEhOTu6UpvYd6+5glXsV92bfy0k5J3XZpu6EEuckJSFexF6lUuF0OnE6nQwYMEDuoxUVFWzfvp01a9Zgs9miiprE6lBSMklWeriC0u3vCtp0DV955ZW88cYbWCwWysvLsdvtDB06lMcffzwuqheJhq7EJCsRSifJnbU7FApRWVkpE+OamhosFgsul4vBgwfjcDhancA16Wlo0huFaNTXE9i4kcDatQQK1+EvLESsrm58MQKbiwhshioADGjSx+DvD4LnC4LHT0en96DZ0VDoRL/sPiJGF+H+RxPOmUoo5xhEW1ZsjdNB6Na+hmbn12iTBhM45pY2j1ViH+ku6IYPwzRrFnULFyLW1FD17HM4b4muYDiz/0y2rtvKZ3s+i5kkh8NhqqqqZGJcVVWFwWDA4XBQU1PDnj17EEURl8slF5Joq2R5ij4FgCJvUcKTZFAOGVLi2Ogu77dGoyElJYWUlIa+5vf7qaiowO12s379evx+P06nUybNdru9w3YonSQr0W4Jh9UtGkF6mE899RSLFy/mww8/5KSTTiI7O5vvv/+ef/7zn/zlL3/hrbfeiqqQ1xcQqydZqQVFlEzyO0KSI5EI1dXVMimurKxEr9fL5Z4dDkfMW4EqoxHDuHEYDhW3ESMRQrt2NXia1zZ4nEPFxVG/CZWUoS4pgx/XUPriiwhmE4acIzEm+THrd2K0e9Bu+Rjtlo8B8B13J8Gxl8RkX0cQHHleA0ne8B6BKX8BdXOZJyVP7N0J+x+von7xYsTaWmr/8x/MZ/8G3eBf5PROyD6Bp9Y9xQb3BvbU7CHbkt3G2RoQiURkUiHpa0ciERwOB6mpqQwbNgyTySSPW6lITUVFBfv27WPTpk0YjUZ5qzspKQm1Wi0/w1xzLgDbKrfFv0HiDKXNSUobJz1F2vR6PZmZmWRmZiKKYlRRk127dskveRJpbquoyWGS3HuIxX5BEBR9zxJaJckLFixg7ty5nHTSSQQCAcLhMAcOHOCuu+4iOzubAwcOkJGRofiH3xidjUkGZWsl9zVPsjQJNw6hkLYD09LSGDp0qBxnH3d7VCq0+flo8/MxHyqCE/Z4CBSuk0M0Ahs3QaOXMLG2jvqNddQDbiygsqLLtGNKDmAyHgB1f4RD40uz7b/oVj5LKHcaobzpRNJHdzk0I5Q/g4gpBVXdQTQ7FhEaeEqrxyqlj/SUeog6ORnbJZdQ+cQTIIp4H3mElOefl8dUkiGJI9OO5IfSH/i8+HMuHXZpi+dpurtRW1sr725kZWXhdDpbzQVRqVQ4HA4cDgf5+fmEQiFZumvTpk0EAgG5FHFKSgq5plwAtnkSnyQrCUoZG43RGzYLgoDZbMZsNtO/f39EUZRf8srKytiyZQs6nS4qCVCv/yUhWslcQ8m2w+GY5BZRUVEhS8CoVCq52h40PPDOeFyVgs6qW4CyS1MrmSRDg90+n08mxG63m1AohMPhkEs+WyyWXhvcaqcT47HHYDz2mAZ7g0G2ff45uu3bse7bj3/tWiJu9y8/iIgE9noJ7AUvdlh+K+rUx9GNGoVJvwtrcD2GfavRL3+UiDGJcF4DYQ7lHAPG9kuvNzdQS3DE79D/+BTawjdbJMlKnBh7qj9bzv0dtf/5kFDxHgKr11C/6Es5HAcaQi5+KP2Bz/Z8xiVDL0EQBMLhMHV1dZQfSgT94Ycf0Gg0cvVRiRh0dmtTkrCUpLsikQj19fWUl5fL8aG+SINiS2l9KQerD5JsSU7o55vItjWFkmyV0Ns2C4KA3W7HbreTn59POBzG6/VSXl7Orl27KCwsxGKxRBHm3rY5ViidZB6OSW4B2dnZ7Nu3T1a1UKlUFBcXs3TpUgoKCuSYIyU/+KbobEwyJIbubaxQYriIlBhSUlKC3+9n+fLlWK1WnE4nw4cPx263J+xgFrRaxIEDCQ8dSlJBAaIoEt63/5D83FoChYUEi7ZHazaXlVH/5ZfUAxWkIOhUmJICmJLrMO5eiLHwfQxaFbWXr0S0pHXapuDIc9H/+BTqXd8gVO1FtPVr8Til9vHuhKDVYr/uOiqua6ggWvnEExiOmYrqUKXQqRlTsWlt5Fvy2bFvB/4qPx6Ph0AggN1uJykpiWAwSHV1NZWVlWg0GrRaLS6Xq8t92O/3yyEblZWVqFQq0uxpJNUkURGq4N/f/JtRzlFyWEZXEqp+7VCilzARbVar1VFFTaTE6oqKCjZv3kx9fT2iKLJt2zaSkpJwOBwJO9c3hdJJ5uFiIo0gNcT06dMpKiqitLSUjIwM0tLSuPnmm6mtreXhhx+moKCgx43tbuh0uk6TZCWHW0Dik3xJYkjajq6ursZoNGI2m1Gr1UyePDkhSqZ2Bo1j6zT9stD0y8J8yskARGpqCKxfL8c1B9avRzxU+RJADESoPaCh9oCt4Rwq0Keq0GrfQ3fEGPSjR2NcfheIEcL5xxPKnQba1nVLRUcuof5Hoyn+tiE2efJ1Ud8n2kKaaDAefTSGo47C9/33hEtLqX7tdSyXXiL32fnp86mvrqdsTxkul4tBgwbJscLSohkOh6MUAdatWyeT6KSkJGw2W7vPofE5KioqqKurk8+Rm5srn2O4fzhL9y/FlGMi255NRUUFe/fuJRKJRCUAmkymXn32iTwn9QUkIkluCp1OR3p6Ounp6QAcPHiQ1atXU1dXx549ewiHw1HxzL25a9gelNDebUHpJL8raJUkX3HFFaxfv16OCbrgggvweDxcccUVchhGX8OvzZMMiWe/JFYvhU94vV40Go1c7tnpdGIwGKiqqsLr9SqOILfX3iqLBcOkSXIlNzEUIrh9B4G1a/GvaagSGDl4UD5ejICvJILv9dfh9ddBENA7gpiSfZhSPsKYDsKQowkVnEio4AREc0qzawZH/B9CoJpIKzJwSkJvLES2a/+Eb8UKCIepeu01NqSlEjwki5WdkU3yyAbVidYWGbVaLZNTgPr6epns7t69G0EQmsVpiqJIbW2tfJzH45HjOQcMGIDT6WxxbEzLmkaGOYMRqSPISm4oECEluFZUVHDgwAE2b94cpXWblJSERqNR9CLfnUik+bOjUKLNer0etVrN6NGjmxU12bZtW5QnOikpqdvyT2KB0sMtlG5/V9BquEVycjLTpk2TP1999dUAeL1ePvvsM8aMGSO/4fUVxOJJVnJMMiQGSa6vr49KtotEIrJM0MCBA1v0aiWC3bGg0xnCGg26wYPQDR6E5f9++0uIxprV+FevJrBmDaHiPb/8QBTxezT4PRak/CytpRBTyk8YU+5AO/UUIr97NMqO0JCzCA39TZt2KKmte8LWYDAY9SJnOmoyrmXfIgSD5C1bRvrDD0cl3JXWlWLX2TFoDO2e22g00q9fP/r16ycrWJSXl1NcXMyGDRvQarVygSfJ+zt48OAOeX9PzT2VUzk16m8qlUqODc3Ly4vSut2yZQs+nw+73S4TeZvN1iNeJSUtykqyVYLSbG7sjW2pqInX65V3RjZs2CArvUj/etOhctiTrFx0qIReXV0dJSUlLFmyhEWLFvHBBx/w4Ycfcsopp/Qp/bxYEvcOh1t0HoFAICrZTiri4XQ6yc7Ojiri0RqUSpKhayQuKkTjtNMACJeX41+7lsDqBk9zcNs2aPTiFqzRUFmjoXKnCX78HtWrp6A/Ygz6kUOxaDchHHU2YubYFtUylDyxxxPhcJja2lrcbjdut5uqqiq0Wi1Op5Pc3Fycf/sbFef+nojbTXjpMkJr1qAZPx6AG769gW8PfMsDRz3AtKxpHb6mKIqyh9ftdlNTU4PJZMJoNMrfeb1eWWpJEIQulwSWEgBTU1NJTU1FFEU5AdDtdrNz5065DLFEmrsjoUpJY1uJBKiv2axSqXC5XLhcLgYOHBil9FJUVBRV1CQ5OblNTfyetl0JiMWT3Gcl4CSEQiH8fj8rV67kgw8+4NNPP6WmpoaZM2fyxRdfcNRRRwH0GYIMsUnAHfYktw8pa1kixVIRD6fTyeDBg7Hb7Z0uea7Uwdcd/UWdnIzp+OMxHX880BDX7F9bSGDNGvxrVhPYsBEa7ZBEKiqo//Ir6r/8Ci+g1n+BMVONYXgBhjw74v89iGCwRV1DKaQlXv0iEonIL3PSLkcoFJLjfAcNGoTFYolaaMPz5uK+624A3A89TMaCNxA0GjLMDXryP5b+2C5J9vl8uN1umZSKokhSUhJZWVmMGjUKg+EXT3TjLefS0lK2bNkiV+KTkvFaGlc1wRqKKovIs+a1WzJbIt79+/enf//+hMNhuQzx7t27Wb9+vaxAIJUhjhf5UOoYVwKUSNo6Y7NGo5Ff9CB6XBUWFhIMBqOKmnQk7r+rtiuZKynd/q6gVZ3k999/n9tvv539+/czdepU7rnnHn772992mswoCTqdjqqqqk79RskeTegeT7gU4ygRjMrKSnQ6HS6Xi5ycHJxOZ8xFPCQotd17YmFSWSwYpxyFcUrDi6zo9xPYuLEhpnn1GgKFhYi1tfLxYb+amp1Qs3M7AOrnj8MwuB/aabPQTzkORFFRbR2rrY01i71eL9XV1ZhMJlwuF0OGDMHlcrW5ZWs5/XRq3vs3gU2bCG7bRs2HH2L97W+ZkDqB94re48fSH5v9JhKJRCXc1dTUyES8f//+bYY2NN1ybilMwuFwyKRZSmy6Zuk1bHBv4L5J93F89vGdaiO1Wi177AYMGEAgEIiqqBYMBuVkqpSUlKjiJ30VSiScSkRX2tlgMEQVNWkcz79jxw4EQYhKAox34qrS+8hhktwI0sP86quv2LZtG48++iizZ8/GbDb3aYIMv75iIhAfsikV8WgcownIRTyGDBnSZrncWKBUkgw975UV9Hr0RxyB/ogj4OJDyYBbt+L/eTX+Vavwr1mDWFMjHx8OqKlddwDWvQBPvkC+xUL1hLGEJ0/BMGEC6qwsRU/4EiQt4cYV7gRBwOl0kpmZSXJyMgaDocOLg6BS4fzLnymd01Al0fvss5hnzmRc6jjUgpo9NXsorS3FgkVeoN1uN1qtlqSkJPLy8nC5XDG/QDYtCdy4utmOHTvkxKZMbSYb2MC2ym2dJslR9ysIURXVIpGI7NkuKytj27ZtcjKhRNS1Wm2f6DuNocR5SImkLV42C4KAxWLBYrGQk5MTVbmypKSETZs2odfr5Z2RpkVNetP23kIkEulUTLeoMMdKW2hV3WLOnDnU1tZy11138cADD3Dcccdx6qmncsQRR5CRkYHD4ehpW7sdnS1LDX0j3CIW+yUdVmkrOhgMYrfb5ZLPVqu1WycFpZLkRLBb0GjQDRuGbtgwrBecjxgOE9y2jcD3XxP6+BnqDuqJBH4hhpqaGgJfLyXw9VIA1KlJ6CdMQj9hPPrx49EoRO0mEokQDofluGKv14vP58Nqtcq7HF2NVTSMGYNp5knUffY5EW8llS++iPXqq8k0ZrKnbg8Lly8kl1x5q3fAgAHdJl1lMpkwmUxkZ2dHJTbZ/A2hNCt3rWSGYUbckvFUKhU2mw2bzUZubm6ULF1RURGFhYXN4kJbu2Zvj5HOQmkESImkrbtsbly5sqCgIKrfSkVNrFar7GVuqwpma1B67tZhdYtGkBpi0qRJTJo0iXA4zH//+19ee+01rr32WhwOB0cccQTXX389EydOVORgaw2xqlsobUJvjI7aHwqF8Hq9UeVzJXIxdOhQ7HZ7jyZCNK4WqKT+l4i2Cmo1uiFD0A0ZgtG6FPXuZVTnXEJNcDD+lT9Rt3IlKr9fPj5cVkHdp59S9+mnAGj6Z6Mf30CY9ePGoXa5eutWmrVvOByWvZsej4eqqir0ej1Op5OCggI5hCKeC5hj3tXULf4aAgEq33yLwowMXGYXe9hDxBXhuNHH9XjhjsaJTcfbj+f9b97noHiQ+vp61qxZgyiKUdvNXZXPEgQhyrMtVceUPNvFxcUAUQmABoMh6vkl4ljpK1DavAk9Z3NTSUapqEl5eTkbN26Uw5iksdKRAlZKbO/GOBxu0QoikQhqtZpZs2Yxa9YsAD7++GMeeOAB1q1b1+dIskajOVxM5BCkLSiJFFdVVWEwGORyz63psPYUlEqSIbG9ZMFhv0FTvAxzzVKEi+7Aet55LPnqK8aadKiWfYz/p5/wFdcghhtJyBXvIVS8h9oPPgRAU1CAYfx49JMmoh87FlUXFRc6A1EUCYVC7Nu3L0pS0G63k5KSwpAhQ7BYLHGf8KXYXOmffepUnF99hRAOM/iHFUy4bAJrN67lYORgr1e2y7c36GGX+kopGFrACPUIebtZ0kk2mUxRnrOu2iwIQjNpOykBcO/evWzcuFG+ZnJysqK2a5U4BykRvdXOTYuaNA5j2r17tyzFKPVds9nczE6l9xGl298VtEmSpYWkuroan8+HXq/n9NNP5/TTT292TF+ATqf71apbSMkMEin2er2y9ykjI4Nhw4YllDh7Y5KsJCT6zkNowExE9c2o3dtQHdxEJHUYqNWoR43FPHkqFkCsOkh40esEln5G/bYy6t1GCP8yBkLbt1OzfTs177wDGg26kSMxTJqIYeJEtEOGIMSZJDbe5SgrKyMQCOD1enE4HAwdOlQuhhFPNCZ55eXlVFdXY7VaSU5OZtSoUVjHjaNk7RrC5RX4ly5l4mlHUj3wd4xPHR9XO2KBU+/EpXfh9rvZWbWT4a7hsk5yfn4+wWBQls/atGkTgUAgSgmgJRLQWahUKpyHCq6IokgwGKSsrIySkhK5AuDmzZtJS0sjJSUFs9mcsGtNIo/n1qBE0pMoNjcOY2os01heXs7WrVvlHAPpn8FgULwnNpZwkT4vAQcNi89nn33Gv//9byorK0lKSuLYY49l5syZcnJIX0IsMclK9iT7fD5CoRDFxcVs3ryZSCSCw+GQt6LjsRh2N5TW9onenuithPKnoyn6HHXJz0RShzUv5GJLQXP2DWjOvgGzdzdhwUxgUxH+lT/hX/o/ArvLQDz0m1CIwOrVBFavpurZ5xBsNgwTxqOfOAnDxCPRZGZ22sRIJCJ7czweD5WVlTLpysvLQxAE2TPqdrtxOp3y9mlXXvSkJD9Jnk1KhMvJySEpKalZwp3jj3OpuOsuAFJeXsh1//pX3F8QYsUA+wB+LPuR7ZXbGe4aHvWdVqslLS2NtLQ0OSlXuu+ioiK0Wq2ciNee4kdbEEVRfk7l5eVUVVVhNpvJzs7GYrHI3nnpmi6Xi5SUFLmtE2ksJZItHUGiEM7OIBFtFgRBjsPPy8uLUqspLi5m/fr1sna5xWIhGAwqrkosJGbb9xTaJMn33nsv9957L9OmTWP37t3U1dWxcuVKvvrqK5588kmsVmtP2dkj6OtlqaUqYVLCnc/nQ6VSYbVaKSgo6LFKWvGAUj3JkPg2+6fegv/4exHNqfLfWrNZdOSgAgyTkjFMmoRunB/1d89Svx9qS/TUlOgJ1vwyzYhVVdR/tZj6rxYDh+KZj5yIYdJE9OPGobJYml0jEok0q3Dn9/ux2Wxy+E9LMfEt6Qg33tJ3Op1t9ncpyU/aWq2vr5crz+Xn57ebnGqedRpV77xDcMsWApu3UPvpp1ga7cL1Js7MP5Njso5hTPKYNo8TBAGz2YzZbJZ1kr1eL+Xl5Wzfvp1169ZFJeO1pzfbNCxF2qpuSQcaaJYAuGPHjhYTAHszhCXRx3NLUCLpUYLNUqGdpKQkAHlXZuvWrbjdbhYvXiz3XSmUSQlrrtITD7uCViXgpMp6L730EhdeeCHz5s3DbDbz97//nWnTpvHcc8/xl7/8hXA43OsxdvFCrCQ5UcMtJOF/iVxUV1djNptxOp0MHDgQh8NBYWEhKSkpilMrUSpJVsJLlejMi/rcmYUpcNQNMPZStFsWkrLhHdIP/D97Xx4eVXW//85MZsnsa/Y9QAg7siNlURQRJCzq131BbWvBpdoq2qq1m1urttal7a9VW+uGBsKqIiKKKCIIJuyBkISEZLZMktm3+/sjnMOdySQkk5lkJrnv8/ioyc3MnTv3nvOez3k/7/s9vHZBB2E2q+CwKMC0n7ebo3rmDz4ABAKIxoyBZOYMiKZPhzMjgy7q2tvbIZFI6L2r1WqRkpLS7cAdyUeYNOAcOnSIevqyG8ccDgfMZjMsFgtsNhvEYjGNRyfv2VPwBAJoH/g5mn/yUwCA5aW/omFyPnIMwyATynr8OvFAtNZvpHpOSEB4Mx7xmyX2WWKxmMZqWywWtLW10fCRcePG9ajpid1IxTAMPB4Pfc8DBw4gGAzSczIYDDG3m+wJEp28hSPRx6BISAaSHA6yK9Pc3AyZTIbs7Gx675JQE3bDbLxdoaJFMl77WKHLEf/w4cPQarW4/vrrAXQMArW1teDxeJg4cSK+//57AMn5sHWFZHe3IPoooitubW2l0bm5ubnQaDSd/B4T6fx7g2QmyUkFnxNAL6+zRAXf+JvgG38T+JbjEFa9D9WRcsgzx8O1+O/wHjkCz5498OzYCk91AxAIdPxdIADvwYPwHjwIvPoa/EolmLFjkT5jBkovmQd5WlqfqhnsFC6iwW9ubkZ9fT2OHj1KvxuFQkH9vfsaKiCZMgWpc+fA9flOwNKCTU/dgTmPvZYQ2uRYQCKRIDs7G9nZ2bTZ12g04tSpUzh06BCAjntepVIhKysL48eP75PnLI/Hi/ie7KbD1NTUkATAlJSU5Hvu+gHJdk2SmaiRc2ffu2QMIgvI6urqkEo0CTVJBHCV5AggFVJSORGLxVRL09raSrV9yXrTRkI0JJnP5w9YJZlhGLhcrhC/YgBQq9UwGAwYMWLEBSf5RK6Ed4dkvu+Sgdjz2s9CsvVe8FtOgVf6fNSvE9SNgGfOr+H50Rrw3DbwBAKIx4yBJFsGue0J+Cek4lDGo/AcOATx4SMQmUz0b1Pa2pDy1VfAV1+h5cUX4Bw/AakXX4zUWRdDWFwc1T3AMAxtuLNYLGhtbYVcLkdubi6EQiGNrz158iRaWloo2erLZKW5/364dn0F+P24ag8Da1MTkHbhv4s3jrYcxcnWk5iTPQdyYWeZS09BtMVms5lqixUKBfLy8pCSkgKXywWr1Ypjx47BZDLFNNWM7XFbVFREdwssFguOHj3aKXUwHpKyZCRv3Dn3LyL5DLNDTQoKCkKagRsbG3H48GFIJJIQ0tzXpNpokczXvq/okiSTpo26ujo62DU2NuLDDz/EwYMH8cQTTwAYXO4WyaBJJp6NhBh7vV4a4pGfn99re6tkryQnG8FPluvNSHUQNFeB522HynEKDDOxby/IT4FfrIHzXCd44PTXKJLkwC3WwzVxKrSXXgG9Xg++2QzP11/DtesruPd+C8Z9zp/ZH+hIB9y3D7a//hWC9HRKmCVTp3ZrM8eWBFgsFioJ6EoHy67wmEwmHD9+PKQ62VtLNGFeHhT/939o/9//IPYD8tfXAy8sjuYqxhSPfP0IGh2NeFX2Ki4yXNSrvyXaYlIFYxgGOp0Oubm5ERPK2Ppwck3ZBKC3UpZI4PF4XTYdslMH2Q2AYrG4z5N/MjzP4UhG0pOM50zQk3NnO74MGzYsJGb+1KlTOHjwYCc9c39JXblKMgvkixwzZgxyc3Px5Zdf4sYbb0ReXh6effZZHD9+HPfddx/KysoQCAQG1YUTCoUJ527h9/vR2tpKibHdbodCoYBGo8HIkSP73LSSLKQtEpJxwEyacxaI4C+YC+HxjUi37QewotcvQRru2Al3JJlRUzATjklXQS4CxknV5/8oJweia66B4pprwHg8cO/bB9dXu+H66iv4zwVQAECguRn28nLYy8sBoRCSKVMgnTsHqXPmgKfV0nQ5s9kMp9NJJ5f8/PwLNpeFV3jYWma2JRrRyfakyqy66040r38PUocfip3fw1NVBfGYMb2+prFEsbIYjY5GnGw9eUGSzK7As6vFer0eEyZMuGCFNlwfzm6KPHHiBFwuV0hAQyy0mV01HZIktcrKSpqkFs3iJ/y9OMQXyU6Se8uVwmPmPR4PfWaqqqrg8XhCrBnj2Xgf7bVP1u+LjS6X7qNHj8brr79OCdSSJUswcuRIzJo1i5b8B0vDHoFYLIbf7+/VDcHj8RAgmsoYIBgMUl2x1WqlCWEk7lmtVsd0yyXZSXIynnuynLN/2GUQHt+INNs+tPXwnEmzKFnUtbe3QyqVQqPRoKSkBFqtFgKBoEeDOU8sRurMmUidORP45S/gq6uD66uvOqrM+/YBZEHr88G9ezfcu3cDf3wK7txcuMeOgWjWLBRNmACdTtcn26VIWmZ2lVkikVDC3BXREiiV2LuwEHM+OAEAaPnTn5H++r8HdBIpUhXhy7Nf4mTryYi/93q9tFLck2pxbyAQCEIIgMvlou9VU1MT0iAYq21m9msyDBPitPHDDz8gEAiELH56aoGZLM8zG8lIOJPxnAlice5isRiZmZnIzMzstEty+vTpTqmZsbRw5SrJERAMBuE5F0XrdDohk8lw0UUXwWKxwOPxgGEYBINBuN1uqj9LdkRTSe4rUSOTLunib2lpodsuGRkZcQ/xSFaiCSTnuSfTOQfyfgQAUDjr0e5pA6DqdEwwGKSaUxJCA3To4jMzMzF27FikpqbGZIAV5uVBmJcH5fXXw9PeDuvnO+H44gvw9u1Dyrn3BQBJfT0k9fXAlq0IZGejfc4cSOfOgXjCBPBisKUfqcocHrxBNLAy2XkXixNzilC84wRyLIDnhx/g/OwzyC6NzmUiFihWFQMAJcmkWsx2ouhNtbgvSE1NRW5uLnJzc0O0mbW1taiqqqLn0dMY4AuBx+NBLBYjKysLWVlZIcUJYhdIEkaJNKO7BsBkIm9k/EmmcwY4ksxG+C4J23PcaDTi2LFjNNSENLCGy8oG8vyTCd26W9xzzz3Q6XTwer0IBAIIBAI0nY0I0W02G370ox/h+eejb+5JFETbuNdb0uN2u0Oa7fx+P9RqNfV8lcvl/XZDJhNpC0cynnsynTMjMyCoyge/tRYi0w9AWgeBIb615P51uVxQKpXQaDTIy8uLi28texIgDXdSnRa6O++A9qFfQm40wvPFl3Du3Anf8eP07/wNDWh/+220v/02+CoVUmfNgnTeXEhmzgS/D5MGQXiV2el0Rqwyd1SzJXhrHh9rPujQ0dv++hKks2eDN0DhAoQkV9uqcfDgQdr4G6tqcbQI12ZGqvgSmzmdTheTIgKfz6epg+FykOPHj4d4ZIcT9WR5ngk4ktz/iNS4F0sQBxmSmsn2Mz99+jR++OEHar0YTQ9AvM8/kdHlVRKLxbQiAnRMBuH/CIVC+P1+jBw5st9OOJ6Il0+yz+ejsbmEVBBd8ejRo2NSGYkWyZwYCCTfBJVsCGRNAr+1Frz6b1EjHUWtBUUiETQaDYqKiqDVaiESiWJ+D7P9cMl2P4lJHzNmTCg5MhiQOno01Hf/FP7GRji/+AKuz3fCvX8f4O+QQwVbW+HYvBmOzZvBk0qROmc2ZJdfjtQZM8CLwXY+u7qTn59PiZbZbMaxY8eQac+Ef/IVaKushPJYPfz19bCXr4Pi/67t83v3FMQyzWw2o8nUBD74cAac8Ig8mDBhAlQqVcJNhiKRKGSbmcQAh1u+kcm/rws0Ho/XafFD0hbJ1jbbD7q3cwaH6JDMY31/x1KH+5mThn/i+kIWfeQYtVrd7fn19vyT+bsKR5ckefjw4SgvL+/PcxlwxMonmWwXsnWZqamp0Gq1KC4uhlqtTphoymSqbIYjGc89Gc45GAzSQZWfMgwy9RSccUrR2twMvV6PkpISyGSymFeLg8EgbayyWCxob2+nDXfjx4/v8WIyJSsLyuuug/K66xBoa4P7q6/g/HwnXLt3g3E4AACM0wnn1o/g3PoReHIZpHPnQnrZZUidPj1mlV227pZhGEx0ToTZbEbriu+AP/4RAGB59VW4pk2FLjc3bj0eZLFBZBQ8Hg86nQ7FBcXIa83D6fbT8Kv9SREoFB4DzJa7HDt2DB6PhzYA9kZXfKH3lEqlkEqlyM3Npbr7xsZGnDhxAl6vF0KhEEeOHKG69L46dcQTyVxJTlZd7EBXwUUiETIyMpCRkQEAIYu++vp6ujtDFn7hu9mcJrkLRJrMI/2Mx+Ml3QMXCdFUkolPMjvEw2azISUlhdpMkeSpRESy+iQDyUE4w5Go5xzJRUUmk0FTcAWCY66G1OeDp6UF9fX1sFgstLnpQhWIC4HdfGK1WmkFJD8/PyYNWwKlErKFCyFbuBCM1wv33u/g+PRTuD77DMH2dgAAY3fAsWkzHJs2g69QIHXePMguuwySqVNiRpjZVWbk58O4dy9c27aB19aGpr//A5XzL6Wd6sQxI9oxla3pNZvNdLGh1+s7uXusZlYjhZ+CMdqBddqIFpHkLuR+OnnyJNVlkn/6Upzw+Xwhiw2S9EeeAZvNhqqqKvh8vk4NgIlEMJKZJCcrBpokhyM1NRU5OTnIyckJsWckoSbhjbOJdv79CR6TzHdejHHixAmUlpbCarVe8IYgzUoNDQ1wOBwhOjqtVhsTo/z+wPHjx8Hj8TB8+PCBPpVe46uvvsLo0aOTogJGYDQaUVdXh8mTBzZxLRgMwul0UheV1tZWGsxAqgkSiaTT5O73+ylRMJvNCAQClNjp9foLLgbZ3p9ms5mGPZDX6C89PuPzwb1nDxyffALn55+DsTs6HcNXqSC9ZB6kl10GyeTJfWr6CzAB/GD+AVmyLKSlpsF/5gwaV1wN+P3gSSRQv/M2bDwezGYzWlpaaBw2abq5UJXZ4/GEOFGQajHR0A5UCMFAIhgM0nvNYrHAbreHbDFfSFrCdjIxm82w2WyQyWT0Xo+0sxEMBmG322l122azhTRQ6fV6CIXCAZ0bfD4ftm/fjvnz5yd0xTscJ06cgMfjwZgBtk6MBrt27cKIESOQlpYAKUIXQPiOXmtrKxiGoZVoIq+70GuQ5thk4EHdIXmekH6AUChEIBBAMBjsNCl5vV7qPmG1WuHxeKBSqehNMGnSpISqFvQUiVrZ7AmS9dwH4pyDwSAlqKRa7PF4aMNdYWEhVCrVBclYSkpKSFhDe3s7zGYzGhoacOTIEcjlcuj1ehgMBiiVSgAIqVK0tLTQZraSkpIB25rmCYVInTULqbNmgfF64fr6azg/2Qbnzp1gnB1R3MHWVtjXrYd93Xrw1WrIrlgA+dJlEI3o/YKy2dmMn37+Uwj5QuxcvhPC3Fworrka7e+8C8bthu8//0XeY7+mfr5sCYHb7e7kmBHuRNHe3k4JYE+8oIcC2BG/QGioTH19PbW0I/9IJJIQHbnZbIbX64VWq0V6ejpGjx59wSZBPp9P5SDE/YQQ9ZMnT6KyspJKiAjR7m8r1WQcM4HkPW8g8SrJ3YHP51PpxfDhw+miSiAQoLq6Gna7PeQe7q5RO1k+c3eIenZKpi+9pyBVMJ/PB6fTifr6eohEIlitVtjtdsjlcur3qlKpkJKSgrNnz+Ls2bNJSZABTm7R3+jPcw4EAiEyIOK5TVwDtFothEJh1PcuWx9aVFREXQiam5tRW1sbMkZoNBqkpaWhtLS0TxHP8QBPJIJ0zhxI58xB0O2Ge/duOLZ9CtcXX4BxuQAAQZsN7e++h/Z334No9GjIly6FbMHl4Mt7Fufc6GgEAGRKMyHgdUwoqjvvhH3jRjB2B+wVFVDeeCOERYWdPIQdDge1djpx4gS9h2IhTfEH/djRsAOnWk/hztF30nMbjJBIJMjOzkZ2dnZIlHZ9fT0OHz4MgUCAYDAIoVBI79W+ppqxAyEYhgkh6nXnwnHIzo1er0dqamq/OhslE5Jdk5ys507u/+HDh0MikcDtdtNF/A8//EDlRexQk8GEHpNkhmHg9/tpEAD7ARsMhNnv9+OHH34AAMyfPx+HDx/G5ZdfjieeeAL5+fnQaDQRJ6FkJGpsJPP5J+M9F89zJt7m7IS7YDAItVqNtLQ0jBo1ClKpNOaDNdsxgfjrEi9honezWq0IBALw+/39KqvoLfgSCaSXXALpJZcg6HLB9dVXcG7bBtcXX4I55xvvPXQI1kOH0PLnP0N62WWQL1sK8fjx3X6eBnsDACBbnk1/JtBooLrtNtj+9jIQDKLlpZeQ9sJ5K02iLSZVTYfDAYVCAalUSq+50WiEz+eDx+OJqlGNz+Pjd3t/B0/Ag4X5C5GnSH6/+wuBbCeT6+p0OqFWq5Gamkq1+Y2NjXC5XHA6ndDpdDGRz/F4vBAtKLvBm+zEsOPPdTodBAJBzJ8TTpPc/0hmjkSuO5k3JBIJ9RcnkiR29DuPx4NGo6GkOtnRLUkmHe7Hjx/H/v37YbFYkJKSgqysLJSWliI3Nxf5+flJ+eUzDINjx47h008/xaefforPP/+cfo7LL78cf//731FaWnpBQpHsFmrJTpKT8dxjec5+vz/EXtDhcEAul9Om0XjJGdjd0UTD352/rtvtpqTk1KlTEIlEtHoWC9uueICfmgrZ/PmQzZ+PYHs7HB99BPu69fAePQoAYNxuODZuhGPjRqQUFECxbClkixdDoNF0eq0zjjMAgGxZdsjPFddfj/b31yJgNMK1cyfavv4G7Xm5MJvN9Lrq9XoUFBRErBYTX2az2YyTJ09CJBKFaJkv9N3zeXwUKYtwpOUITraeHLQkmWi2yXXl8/nQ6/UoLi6mQSEE7InfbDbjxIkTIddVo9HExJ2I3cdSVFRE9f7sYBq1Wk2fE7lcHpMFbjKT5GQ7Z4Jk9hnu7n5hhyvl5+eHFEwSxcGrr4g4gjIMg7q6Ovzzn//EBx98gNraWmg0GqhUKvj9frjdbvD5fEyZMgWzZ8/GZZddhtLS0l698W9+8xs8+eSTIT8rKSnB0XMTkNvtxoMPPoh3330XHo8HCxYswCuvvIL09HR6fF1dHe6++27s2LEDcrkct956K5566qkekYLKykpMmzYNs2bNwvz58/HYY4+hpKQECoUCd911FzIzM3v0OZKVqBEkM8lPxmvf13MOBAKdGu4EAgG0Wi3y8vIoQY11tZgEiJBJ3Ol0Ug1sQUHBBTWwEomEVtCI0b3JZKK2XWw3gESTYwAAX6GA4pproLjmGniOHIF9fQUcW7eCsdsBAP7Tp9HywotoeelvkM6dA/nSpZBMmwaeQABeXR3a6jviqId5FODV1YEhCaViMYQ334zAn/8MAGh85mm0PfII9AZDj66rVCpFXl4e1TK3tLRQYudyuUIcM7qqMhepzpPkeTnzYnzlBgZsOYXJZKI6Sr1ej8LCQigUim7T89gTP/ver66uDrn3yfZyLKrMQqGQNkeRxlq240BKSkpIA6BIJIrqfZNtzCRIZslCMp87kWP25PxJ83c80zn7GxHZ5IYNG3D33XdjypQpePrppzF79mxotdqQY44ePYpNmzbh3Xffxbfffou33nqr128+evRofPrpp+dPhkVuf/7zn2Pz5s1Yu3YtVCoVVq9ejeXLl+Orr74C0DFpL1q0CBkZGdi9ezfOnj2LW265BUKhEH8850HaHcaMGUObiAgCgY7Qgd7YwCWzphdITqJJkIzn3ttJLRgMwufzhTTceb1eqFQqqi1WKBRxSbhjb6O1tLTQalpxcTHVM0cDtr1QpJS61NRU2vzXV4u5eEBcWgpxaSk0998H5/bPYF+/Hp79+zt+6ffD+el2OD/dDkFGBjQTJkD/z3/gQaEf5jsycfWDv4PI/Tjq3ngDjdnZHVXNrEzk5uRAcOYMUuvqked2Q1pU1OvzEggElEAB5+31LlRlLlaei6duOxmbCzRAYFu0mc1m2piXl5dHSWU0CL+u7F2U2tpauotC/omF3Sefz++SqNfU1HRqAIwm5TLZKpvJXElO5nMn/CZZz7+viEiShUIhPv/8c4wYMYL+zO/3Azi/Iho5ciRGjhyJX/ziF9i4cWN0b56SQs2t2WhtbcW//vUvvP3227jkkksAAK+//jpKS0vxzTffYPr06fjkk09w+PBhfPrpp0hPT8eECRPwu9/9Dg8//DB+85vfXHBA5PP5nfQyJGmpNyQ5mSuxQPKT/GS89hc6ZxJWQNxU2tvbIZFIoNVqMWLECKpVjDV59Pl8tCHDYrHA6/XSSmRJSUlcbA3DU+pIOITZbEZVVRX8fn+vLOb6E/zUVMgXL4J88SL4amthX18B+6ZNCFosAABefT20X+wEGAZKHvDq87UI8vlgAGTfcgvc69ejcNIkKBQKuPh8mH7+AADA9vLLSP3Rj8Dr4/cbHoBBdLikyky28jNFHbtmNW01fXq//gZZyJlMpo6QltZWatHWm/CZ3iKSrpg4Zhw6dAgKhaLHSWY9BZuoMwwTkkZ54MABBIPBkAbA7p7VZCVsyXreQPKfO8CR5BBceeWVnQ+MIGEgOpurrroqqjc/ceIEsrKyIJFIMGPGDDz11FPIy8vDvn374PP5MH/+fHrsyJEjkZeXh6+//hrTp0/H119/jbFjx4bILxYsWIC7774bhw4dwsSJE6M6p94GiiQ7yUzGaixBMp57VwmNpOudhNEwDAO1Wo2MjAwawRzrCZ9sSZPqW1tbG6RSKXQ6HUaNGhVVdaqvCA+H6MpijthnJcrALczPh+a+e6H+2d1w7dqF1g/L4d+1CwyfDwQC4J/7yvnBIBiBAAK5HLnDhwPnOsFTZ8+GaMwYeKuq4Ks+CefHH0O2cGHMzo9dvS8pKQmpMreYWgAAdW11aGxqRJo+LWH9cyNZtOl0OmRmZmLs2LH93ijE1hUPGzaMOrxYLBZUVlbSJDNy7WMhJeLxeCFOHSTMymw206huiUQS0gCYkpJCn5VkJWzJet7A4Dj33p5/sn7ecHQ7EprNZvj9fvh8Pvj9fni9XgSDQWqYPm3aNADR3QDTpk3DG2+8gZKSEpw9exZPPvkkfvSjH6GqqgpNTU0QiUSdQiLS09PR1NQEAGhqagohyOT35HfRgOjCvF5vr/4m2YgaG8l8/sl47uSciYSC/ON0OqFQKKDVapGbmwu1Wh0XosKOKLZarWAYhjb5jRs3LqG6kbuymDObzfj+++9pUxshAgPZKBLimCAWY8/sMmxUXoKf7FmL27+pCDmWFwjA/fe/A6zxi8fjQb16FYw/vRsAYHv1NUjnz49Z4l842FXmsf6xeGnDS3AFXNhzbA8UVQpaZdbpdAPuRMJuTiRBK3q9PiYWbbGGSCRCZmYmMjMzqbOL2WxGc3Mzjh07Rj3CdTpdzJpq+Xw+VCoVVCoVbQAM99lWqVT0WUmk69UbJDPRTObGvaEcSQ1cgCRPnDgx5Msl+sH29nbk5+fj5MkODVs0X/5CVpVk3LhxmDZtGvLz8/H+++9f0LA9nuhtJXkwyC2S9fyT6dwDgQAcDgeamprg8Xiwa9cuCIVCaLXaEOeCeNizkfQks9kckjqWl5eXVA0WbAJCuqhNJhNqampQVVUVQgT6g9gRberZZhN2n2qBVMTHzGEGFBcXI2+kDOv3fYKyqp0I8gXgBwP07xiBAOKf/ASuPXtCiHLq1KmQTJkC99698J85A/uGjVCsWB7XzwB0VO//POvPSJOmIUuWBa/bG+KYwU6M64sWvacg96zJZKJNoqSxM16yn3iAx+NBoVBAoVCgsLAwJFiEHRJDqsyxuGdJoYcd+EN2DaxWK2pqOiQ1DMPgzJkzVMKUDNczmUlyMjfuJfN1jwW6JclPP/00+Hw+BAIBUlJSwDAMTpw4gXfeeQc333xzTE9ErVZjxIgRqK6uxmWXXQav1wubzRZSTW5ubqYa5oyMDHz77bchr9Hc3Ex/Fy1EIlGvK8mc3GJgkMjnHgwGaUojabjz+/1QKpVQq9Vwu91wu93wer005TFWgyipvBH5BtEzFhYW9ihSNBlAuqjVajWGDx8eYjFXU1MTQuyIhruvYMccNxtNONjkQlWbGPuMQTi8PMwsUuOu0aPp8W/fMBqa130Ar4MY8wIBMOQ8nE7wPB6E373qVavQdNttAIDWf/4TskVXgt8P1f1JaZPof6empiI3Nxe5ubn0MxPCXFlZGZfFCNuizWKx0HuWhN4kqvyjN2AHiwChjZWnTp2in1mn08X0OSW7wC6XC4FAAHK5HGKxGLW1taiqqoJcLu9VBPpAIVnJWrJrerlKcje48cYbI/58xowZ+MMf/oB77703Zg+y3W7HyZMncfPNN2PSpEkQCoXYvn07VqxYAQA4duwY6urqMGPGjJBzMBqNNA9927ZtUCqVGDVqVNTn0dvGvUQmaj1BMp9/op07CSIgQR7t7e2QSqXQarUYOXJkpypcuKuDVCqlrg69aTpib69aLJaQCtWwYcMGfLu8P8C2mGMTu+PHj8PtdndqauopXC4XJW5WqxWn7QJUtomxpzEAm1sAoKOh2SAXoSRdHjKRZ48vgWfrVogXLgSkUrj//neIf/ITwOmEZ+vW8zZwLIjHjUXqnDlw7dyJgNEI+wcfQHnTTTG5RtEgPNqZfT1qampCbMl6U2Vmx2qTHY6eWrQNFrAlL+wdn0juFb3Z8SF+y+TaBoNB6rWt1+vpd8QwTCcNtd/v7/SsJApB4kjywCBZr3usENXyPCsrC9u3b4fb7Y6aJP/iF7/AVVddhfz8fDQ2NuKJJ56AQCDA9ddfD5VKhTvuuAMPPPAAtFotlEol7rnnHsyYMQPTp08H0BH4MWrUKNx888149tln0dTUhF//+tdYtWpV1B3wPB4PIpGIOnn0BMkut0jm8x/oBzcYDNItd9JwR9KGsrKyoNfrIZFIupxk2B63ZGIzmUw4ePAgGIahhDlcb8vWOlosFthsNprUVVJSktDVoP4Am9iVlJTA4XBEtJgjwRDs74dNsC0WC1rtTug1Kho88d911dhz2gYAUKcKsWCUAVeOTsNFeWoI+J3vx+CkSXB/9x0YsRhIT4drz56OCnIEgkygvvtuuL74AmAYtP77dciXLwc/zt7RFrcFG2o2wOFzYPW41V0eF6nKbLFYelRljmTRptfr+xSrPVjA5/Oh1Wqh1WoxfPjwTu4VpHeAkObw3gGXywWTyQSTyYSWlha64B47dmyXDhs8Hg9isZimp5FeIxItf/z48RDbQDIODeS4O9BjfjRIdgu1aPTUycopIqFbkmwymeB2u+Hz+eD1emnk7SuvvIJJkyb1aSI+c+YMrr/+elgsFhgMBsyaNQvffPMN3Yp64YUXwOfzsWLFipAwEQKBQIBNmzbh7rvvxowZMyCTyXDrrbfit7/9bdTnBCCqxj1ObjEw6O9zDwaDIX6lNpsNLpcLSqUSGo0G+fn5UTtCpKSkhOgISZWN6G2VSiUkEgm1nCJd8+np6TRumkNkdGUxd+jQIfj9fqjVavrc22ytMHoEqPVIcaQlBZVNQmxeNRaZqg5SsnxiJjJVElw5Og3TCjUQCi5cZQshxOnpnSQW4RCNGA7pgsvh/OhjBG02tK/9AKpbb+nDFbgw3H43Xqt6DSK+CD8d81Ok8C9cP2EvRkaMGEEXjOS+JZIYgUAAl8uFtrY2atE2YcKEpNLD9zfY5JXtQkPcK1JTUyGXywEADocjRLddWloa1XjA5/Npo2xBQQF1ErFarThx4gR++OEHWu0n7jL9+f0la/NbeKxzsiFaPXUyfleR0GXiHo/Hw5gxY2AymegF4vP58Pv9EAgE2LFjB2QyWdRv/O6773b7e4lEgpdffhkvv/xyl8fk5+djy5YtUZ9DJETTuAck75ZEMpP8/iDJgUAAdrudThZtbW0Qi8U0SpZUV2I5ABJXB/Zna21thd1uRyAQgEgkQlZWFtLS0hIybCORkZKSQjv8BQIBjEYj6posONYmwOEWBsdb+Wj1BgHY6d/srbVhybiOPoerxmbgqrHR9zz0FOo774Lz408AhkHbf/4DxbXXgB/HhuYMWQbEAjE8AQ8aHY1RxVOnpqYiMzMTIpEIIpEIRqMRZrMZfD4fgUAASqUSaWlp0Ol0Q0JOESvweDyoVCoqzxCLxTCbzXC73QBA7SJJtTcWje8kM4Btx0h0/1arFbW1tQAQ4mEukUji/p0m4z2T7HILTpMcAeTL3LRpE/x+P1JSUiAQCMDj8VBXV4f169fD5/MlLTHsDtH4JAPJTZK5SvJ5BINBumNC7NkCgQDUajUMBgNGjhwJmUwWFzkDO8nLarXSJK+CggJotVqIxWIEAgFarausrEQwGOwUVcuhM4iW1mw2o9lsBU+QgtwMA0aMGIHvmoN4c/1RAB3Pr0gADFMCpRpgRqEaE/QdqYf9aTEnLCqE9LLL4PzkEwRbWmD/8MO4apMFPAEKFAU4ZjuGmraaXpFktkWb1WqFRCKBwWDA2LFjqZyFECyiuWU3qQ20fV8igy0VstlstBJ/0UUXQaVS0WPY8dVEIkEaAGNxbXk8XojUJhAI0Op2fX09Dh8+TD3WwxMdY4VkryQn47kDycttYoVu7+IpU6Z0+tnEiRMxatQo/N///R8qKiqQm5sbt5MbCIhEoqhIcrKutpKZJAOx0T75/X7YbDbacGe32yGTyaDVajFq1Ki4ddezpRtmsxkul4tqOrtqXhIIBCHVnba2NpjNZtTV1eHw4cP07w0GA2Qy2ZAd3NjXtqHZhKMmNxq9qThtF+CQKQU/npWHBaMKAQAXK3wozZBjZpEWM4s0uChPBZGATyUv4de2vyzmVHfdCecnnwAAWt/8D+RXXx1Xp4tCZSElyXOy53R5HFu3Te5btkVbpB3G8MZKdpMase8jBGsoV5nZ9nfk2hJZ1ejRoyNWicPjq4lfN1snTkizUqmMybUVCAQ0RKW4uJjqzS0WCw4dOgSfz0er22QsisX8mIz3RbKT5GRdnMQKUc38IpEIJ0+ehN1uv/DBSYbeapLZcotkRDKT5GjPPRgMUvullpYWtLa20uSsnJwc6h0aj4Q7UhkimmZS9Rk+fHivyTjZhlWpVCguLqbVOpPJhFOnTkEkEsFgMNDKTjIu4noDtvVdo9GKrQ0C1DoEqLH5EWQEAM4/14fOnh+71FIhPvxx54IAsZgbNmxYJ4s5ItuIV9UMAETFxZDOvxTOT7cjaLHAXl4O5Q03xPx9CAqVHYuGSPHU7EqwxWKhnz+a+za8SY392qdPn6bpgIkQEtMfIA4TxBeaz+dHfW3ZyYpA6PdWW1sLHo9H3St0Ol1MYt5Jwzvbw5z9LFZXV3eyZBSJRL0mXslK1pK9cS8aTXI0CX2Jim6fvsrKSrrdTBr3Wltb8e9//5tupQ029EVukYwYCiQ5GOzYLifV4paWFng8HiiVSmi1WhQWFkKlUsVFQuHz+WijmMVigc/ng1arpdKNWAYjsKt17Pjew4cPw+/3h8gyYjE5DjQCgQAsVisOnmrCd7Ut8Pl8WDRSDZ1Oh6LiYXjy1e9h93Q41WQoxZiUp8LEXBUm56kxPK13/RRdWcydOHGCVlKJE0lfejXCobrzLjg/3Q4AaHvjTShWrAAvTt8dmyR3ZdFmMBhQVFQU00r6harMpFkslpXQgQR7sWwymdDa2krj1vPz82P6GcOvLVsicejQIfq+Op0uZv0NfD6fVrcLCgroTh1xQSENgGQ86k2zczJ+98kcJAIk7+IkVohIkol0YOXKldi3bx8d9AUCAcRiMUaOHIm//OUvfQrtSFRES5KTtfkt2S3gujp3opkjpLi9vR0SiQQajYYGFMS64Q447/9KKm6ko1+n02H06NFRu1/0FgKBgAYXjBw5Ena7HSaTCQ0NDThy5AgUCgX9fTL5KJ9otOKbE004WN+CE2YP6h08uM+F2eVqpHh80vlQjPvmFUEtFWJirgpZqtjJFMIt5tia3AtZzPUWohHDkTpvHlw7diBgNsO+ZQsUy5bF7LOwkSvtkM7VtdXh888/p5r4/rRoi1RlJnKk2trakGufTLZxZGFFZBQejwdarRaZmZkYO3Zsv8TBswN4iouL4fV6qb96ZWUlAoEA9VfvrZ94d2DvujAMQ4NjLBYLzpw5Q+3tyDGpqakRx6NkJWvJrulNdpLfV0QkyeSCbNq0iTasCAQCOoCxkew3QDii0SQPhWpsIoJ97sFgEG63m5Jim82GYDAItVpN9XzxMsYnEzn5B+jo+s7Ozsa4ceP6ZQLsDux43KKiopB0s9OnT9MksERK3GIYBs3tHtSYHBiuYuj5PrnHiwYHGW86/i1J4WN8jhIX5aoQCDLUr/jGqTn9cq7hftfhFnNsAhDNvaC6YyVcO3YAANrf+h/kS5fGZMxl+22bzWa02FqwJmMNStNLkZGWAZVKNeBju0QiQXZ2NrKzs6n9IblvDx061ClwY6DPlw2v10urxWyJSqJ4mYtEImRkZCAjI4PeC0T2cfz4cUgkkpAGwFhIing8XpfV7cbGRhw5coR6vrOlTOR7TaTvt6dIdo6UrIuTWKHbuz49Pb3TzxiGoTZwfD4/xEJsMKw2eqtJBjgbtYECwzBwOp04duwYWlpa4HQ6IZfLodVqkZ2dDY1GE7eGO7J9aLFY4HA46GSdl5eXEOSiO4jF4hDiQSpcR48ehdfrpXKQaEldbxFkGDTa3DhmtONokx0H6204dLYdLa4AUngM/jI7BRlpHU4UP2q14tBZO0ZnKTA6U4mxWQoUGaRISZCxJ9w2i5BQ4m8rk8note3pfSIeNQriiRPh+f57+Gpq4N79NVIvnhnV+bFJvNlspiS+Pyua0YL0DWg0mk5V5rq6OvB4vBDHjP6uMpPvm1SL29ra6I5NoqcIshfSbI9ki8VCJUVqtZqS11jtPrGr20VFRSHpoUePHoXb7aYNgL0pXiUSkp1kRlNJTlZOEQkRGURtbS1sNhud8NkXiMfj0UYKt9uNmpoavPPOO7j55psxfPjw/jnrOKK3iXtAchPNZCL4gUAgpOHOZrOBYRhIJBJotVqMGzcuZl3UbBAyzrZnI40oRUVFMbNZGghESqczmUyU1MnlckrqYlGpc3j9ONHswLgcJfjnXuuR9YexsdLY+dx4QKFeihHjxyNb3dHV//iitD69f3+CTTwKCwvh8/noNvOBAwcAoFMzU1dQ3nQjTN9/DwBo+9//ekWS2fHnLS0tVA4yevToPstBBhJdVZlra2s7OWbEq8pMXFQIMSY9B9nZ2Rg/fnzSav/Zci0AIeMfsfCLteyFcAt2qBKRZNTU1MDv96OqqgpNTU1U/y8WixOegCa7XCHZSX5f0aXc4q677kJKSgquu+46zJgxA3q9Hnw+H16vFy6XCzU1NdizZw/27NkDHo+HG2+8sb/PPS6IppI8WHW9Aw3ScEeCPGw2G7xeL1QqFbRaLYqLiwEAVqsVJpMJe/bsoX7GBoOhT5o6dsXNYrHA6/XSSsrw4cMHpb0aj8ejDTeFhYUhXfd1dXW0655MUN1tFwcZBg02N44121n/OFDf4gIAlK8cB2mwo3mJaW1BCo+PXFUKStLlmJCnxbgcNUZmyCERDrz0I1YQCoXUAYDdGFdbW0ulA+T6hlfqUmfPRkpONvxnGnD0yy+w/913MXzyZAwbNqzT+3Rl0cb2+R5sCK8ys3WvpMrc0wXJheDxeCgptlgs1EWmtLQUGo1mwGUU8QAJMiFx5GQnjSxIFAoFvbZ9SeIjzwWJ2HY6ndBqtbSPhOwe1NTUoLKyEgqFgn6viXrtk11ukewkv6/gMd0wpLfeegvPP/88Dh8+TG9E4s3qcrkwduxY/PjHP8a1117bn+ccV9x5551QqVT4zW9+0+O/2bVrF8aNGwelUhm/E4sTnE4n9uzZg3nz5g30qQDoqMy0traGNNxJpVJoNBpotVpKziI9tCQwwmQywWq1QiqVUsJ8oa1thmHQ3t5Ot29bW1tpxU2n0yXsANxfYPu3mkwmeDyeju9Ep4dXqEBDewAT81RQp3ZU1P/2eQ1e+eJ0xNdSiYDbRgQwOb/DW1em0kApl0GUMnSvL1s6wNavsnWZNS++iJ/84Y/4yumgfzd//ny88cYbSE1NDQn06A+LumQBqTKT69ve3h4Sr3yhKjMZG8i9z3b6GOp+5ABo+BK5d0kjHqkyXygBkEg7SEJjMBgMWYxH2qVjGIYu4snuHmk8JN9ronwvVqsVlZWVmDOna+/xRMbJkyfhcDgwbty4Hv9NMBiEUCgcFONOt5/gpptuwk033QSz2Yy9e/eivr4eKSkpyMzMxNSpU6kXY7KvlNjgNMn9C9Jwx5ZQAB0etUQnmZqa2qOVLDsRyu/3U8L8/fffR6yCejyekIY7MrhnZmZizJgxMYl3HSzg8/kICGWoCfhxKiDCMXMbqg/bcab1JHznbv0n5uqxYFwuVCoVhhmkEAp4yFMJkSVloE/xoEAtxNg8HYqz0xKicSmREC4dYFvMOZ0uSBRqPP7hOuxjEWQA2LFjB5YuXYrHHnuMhp0UFxcnlWNJvMGuMg8bNow+92wtc3iVmZ1saTKZEAgEoNfrkZeXxyVbhkEsFofskJBiA5FsRSo2kEo/aWoUi8U0pbEnVnQ8Hg9isRhZWVnIyspCMBik79vU1IRjx47RxkPy3uwGwP5EsssVog1KS+bPzMYFaT7DMNDr9Vi4cGHE3wGD52IAQ09uwQ5D6Y/vMRgMUh0fkVA4nU4olUpoNBrk5ubGpGqbkpJCO7dJFdRoNOLIkSPwer1ISUmB3++nmtvx48f3aZtwMIBhGLQ4fai1ulBrdaLG7MTC0ekYmSEHAHxd04I16490+jtxCh85KiGcLjf27dsHAOAzPDw7JQi9TkEXJrH0hE5mMAyDNrcfLU4frA4vrE4f+DweLinRA+h4Jp/e2YRqkxMtTsDqSIHLfBSN+7/r9FqBQADfffcdsrOzUVpa2t8fJSkRTq5IaiXxZU5JSUEgEIBIJEJaWhrGjBmT1Nrt/gSPx4NSqYRSqURhYSGVrZlMJprEx+fzEQgEIJfLkZ6ejmHDhvW56svn82mwUmFhYUjj4fHjx0PSTPsqCektkl2ukOwkv6+4IEnu7uIMxgsnEol6nSSY7JVkIL4kORAIwOFwhCTciUQiaDQaFBYWQqvVQiQSxWUgCW+4EwgE0Ov1EAgEcDqdsNvtEAgEEAgEEAqFCbNFF08EGYY2zR1pase/d9d1EGOLC+2e0KbVNIWYkuThaTKMy1aiSC9FsV6KIr0UmTIeRD47Wqwd361YLIFCoQAA2O12tLS00Nfi8Xgx815NNLh9AVjPkV6L3QuL0wehgIerxp73kv/x/w7iuNEOq8MHfzB0UV2ok1KSDADVJgeONZ+vGvtbznb7/vv370dhYWFCu1MkGkjVk1Q0nU4nVCoVJBIJDcBoamqiQVpcBbl3IAuQlpYWtLS0wO/3Q61WU5tVm82GM2fOwOVyUVlQLBqgeTxeJ5cZIsWzWq2oqamhdrZkdzGeDYDJvtPeW5LPMEzSFg0jIfkFIzGGUCgccu4WQGwtW4LBIDWqJ9Viv99Pu81HjBgBuVwel+12dgXBYrGEWBdF2oZmb/udOnWKbvsZDIaYJVANBNrcPtRaXLQq3EGCnahrceG+eUW4bnI2AMDtC2JzVaizRIZSjHxtKgp00pBkutIMBd66dTy9vmZjHRq83m6bwtjOCsePH4dUKqUTUyJX7oMMg1aXDxbHOeLr8MLi8EGcwsc1F2XR4256fT+ONdvh8AY6vUahThpCks0OL4zt53epZCIBtDIhtFIRcrUd0h5Sebt2hBC2ND6kggBy09Rg3FOx5IOuz1cqlWLXrl2QyWT0+iqVyoS9vgMFv99PZRRs/WtBQQH0en0ISWM3V5KEOtKg1hsLv6EEcn2JfpvI3EaMGNGp2ZdtpXnq1ClUVlZSK01S7Y3F9SWLc+JlTvpewpMH2Q2AsdTSDgaSnMzn31dwJDkMvQ0TAZJbbhErkuz3+0Ma7ux2O2QyGTQaDUpLS+PWPMQ2wSeVaqJFGz58+AXfl+0ZTHSIJpMJlZWVIQ0ker0+oZoQfIEgzrZ6cMbmQoPNjRFpMozPUQEAvq9vxY2v7+/yb2stTvrfxQYpHry0CPk6KfK1qcjVpIY4SrC9ftnXV6/X96ibPzxog1zfgwcPUilXdw06sYTLFzhHeEOJb6qQj5un5dLjVvxjL443OxCI8EwU6FJDSLLLF6AEOYXPg14uosQ3TxuqaX9yUQkEfB60MiE0UiHE5xoVSUTxvn37qEXbRVl66MflhWzzz58/Hzt27EAgcJ6QCwQCzJs3D8uWLYPP56ME8MCBA/T6xsLRIZnhcrkoaWtpaaELtXHjxnW7UOPxeNTDd9iwYTQchFj4MQwTonlNVru3vqKrhumJEyd2S3TZNnJAaChTXV0dAITYzMVql0QgENBUR9IASBb+VVVV8Pl8nRoA+7LYTHaSSZrwhioSZ9ZPEPQ2lhoYHHKL3p5/MBiEy+UKabjj8XjQaDTIzs6mQRTxqGSxBzWLxQK/3w+NRoO0tDSUlpZGvaUvEAhCtuiIFdGpU6dQVVUVErIR76a+IMPAFwhSItXU5sZLn9egocWNMzY3mtrcYO/Y3z4jl5LkHE3HZGKQi5CvTUWetoMA5+tSka+VhpA3pUSIOy7OD3nvSPZ3pFrcl+ubkpIS4oFKqnREC0pCA4h934UmlkCQgc3li0h8ZSIB7pp1/nMtenkPaliLAzbytakhJJnHAyXIqtQU6GQiaKVCaGUi5GpCv/enl5ZCKOBDKxNCIe6+MWhsdof7DWnMO32OWLjdbnpvdXd933jjDdx222349NNP6c/mzZuHN954A0DH2MVOUOvKYk6v1yd0sEVfwfZMJjIKQnr6cv+KRCKqZWbHz0eqMg/mKn4ktw9ivTly5Miory+7eZV9fRsaGnDkyBHIZDJKmNVqdUx2IkkDIGk8DAaDsNvtVEd94sQJiESikNRMoVDYq2cn2TW9yU7y+wqOJIchWneLwV5JDgaD8Pv9tOGupaUFHo8HCoUCWq0WBQUFUKlUcZFQsKNLSZKVXC6HXq/HmDFj4iKLYFeRhg8fDqfTCZPJhObmZhw7dow2/BkMhqgJh9cfRGVjG5raPDjb6kZjqxtnWtxosHX8c9PUbPzisg4fXD6Ph3UHmkL+XpzCR7Zagmy1BIW68xOTXibC3od/BJm4Z483wzC0mkkWPSQaNl7er+FVOlKNqj9rxJ5DJ+GGELxUJYJCGVxMCqxOH5TiFNwzr4i+xoKXvkFjqzvi6+dpU0NIslTUcf4iAR86uZASX51chGxVaIXq+RVjIBHyoZYKIRJ0f18NT5P36PO63e6IFm2RtqG7gkajQUVFBaqrq3Hy5EkUFxdH9EkGOl/f8Chyos03GAyDwiKOXUU3m80AQJ0+4hH2w76+xcXF1I6MXcUfTFXmYDBIiaPJZILf74der0d+fn4nmUosEH59iV8+iXsnoS2ENMeqKZjP59PGw/z8fNpkbrFYcPLkyRBJiF6v79HcMxga93p7/oOJVCf3yBgHRJO4N1jlFoFAAO3t7ZQUt7W1QSwWUyslMvnEYwAgpII03PF4PGi1WuTm5g7IpCOVSpGfn4/8/HyanGYymVBbW4uUlBRKmLVaLXg8HlqcPpxt9eBsmxtnWz1oOvfvyfkq3DAlBwBgc/lw8xvfd/meZ2znCaBeLsK9cwuRrZEgR52KHLUEOrmINuCxwePxLkiQI1WLe1LNjAYmuwcW+7lKr9MLq8N3rrnNC5VEiIcuH0bt+24rr8fZVj6AAICWc/90IEspxE8uzqGyAY1UiLOtbqilQmhlQuikImhlIujkQmSFEd9XrhsLqUgAqUhwwQE8XCYRDcjCjoROOByOmFm0DRs2rEty3BXCo8iJ53V1dXVIpVWv1yeNCwlZ2JlMJthsNqrHnjBhQr/rhUUiUYgNGnHMCK8y97ezQl9A5CXEpk0oFMJgMAxIUmN4Eh/7uyfVXkJcY7XoIw2AZGxnGCaiJIRdZU5NTe103yV7JTba80/mz8wGR5LDMBR9koGOByEYDFJjeNJwFwwGoVKpKHmKR+wzcL6Jg5A20mmu0+lQUFAQt1jZaOBleHCmKNEmFcGs0kHO9yGN58aRI0dgdfjw+Hc86h0cCYQk68/JIdIUYmSqxMhUSpCjkSD7HAlOV55fCPB5PPx0dkHU58yeWMxmM2w2G/UvjaZaXGd1wWz3wOr0weI4R3zPyR00UiEev7KEHnv9v/Z3WfHN1Ujw0OXnCZ9OJkKLwwed/LzEQSEEUnk+SIIufPHFF5Rs/nXZMOg1Cgh7cN4GRfwXVexqotlsBo/Hg16vR2FhYb9ornsK0tmv1WoBnG+uNJvNqK6uhlgsppN+IoXosMk9SRLUarVIT0/H6NGjE8bXnMfjUTuy8Coz0eKTCqher0+oKjOJpTeZTGhtbaU7ZkVFRQnjvc1OBi0oKAip9p44caKT3VuspEU8Hg+pqanIyclBTk5OSEgNkYRIpVJabCBe8Mkut4jWJ3mwgCPJYRhqjXukan7q1CnY7XY4HA7I5XJoNBpaMYhXwx2xhSNb/KQaEK8t0p7AFwjC2O4BwwA55/SnDo8fvyg/TKvBbe7QnYYrRqXh+atHo6SkBK1t7Qju7fAKVgoZ6KUCZKokyDcokKtTYGT6+e15Po+Hraunx+2zsKvFZrOZblGmp6dj1KhRnarFx5rtMLVHJr46mQh/LDvvw3vHWwfQYItMfHPUoVVcg1wEjz8ALZE4yESUBGcoQ49967aLIErpekAmOwwmkwnWU6doJDCpIPXnYM62EAuXAV2oaSmREN75T+4Z4inO1uL3t8UcOxrdYrFQt4SeNOUmCrqqMjc0NODw4cMh0cr9XWXuKgY6IyMDY8eOTQpLQSId0uv1KCkpob0yFosFp0+fpmEx5J9YLUrYITUMw1BJiMViweHDh+H1eql2OhAIJC3ZTPZKeF+R+CNMPyPaxr1kIcmBQABOp5NWi1tbW8Hj8dDc3Ay5XI7hw4cjIyMjLoMjexBhN4QRW7j+9Cj2BoJ477sGKoloOvdvU7sXDIAFowx44eoxAACJUICvTlpDvG0V4hRkqsTIUIoxOqvDF5jH40GtUuLje2dALxMh6PfSycdqbYQ0KIXWb4DNxosLgWI7fZBqcaNXjKBIAb8wA25+ClrO+mGpboXFYYJeLqKfEQDuea8yROLBRnYY8c1RS8DnAVppB+HVnXN00MpEyFCGTkJvr7yox5+1O4IMdDT3kEoOm9AdPnwYfr+fko14VejY4QhmsxmBQAA6nQ7Z2dkYN25cUpCK7iAQCEK2l0llkaSnEUlDvAhd+FY6qWYS/Wsi7ShFg66qzBaLhVaZyfZ9LB0d2GC7+JhMJgDn9dskmS6Z0VW1ly19YTcAxuIe5vF4EIlEtHG2vb0djY2NMBqNcLvd4PF42LlzZ4g0QyQSJcW9nOyV8L6CxyQLu+snvP3223jhhRfw2Wef9fhvqqqqoFAokJ+ff+GD+xnBYBA+ny+k4c7r9UKpVNIHVi6Xw+12w2QywWg0or29nXYrp6WlRb2NSaomZBJobW2FVCqlA1Sst3KDDIPDZ9vR1OZBU5sHzW0dWmDy3xNzVXhm2Sh67IQ/7OwU6gAAQgEP80bo8eI15wnkxsomqFM7Kp+ZKjHkPWyKI2Dbn5HGIkJGetq4RbD7lBXGdg8sDh/M7W6cbbGjudUFq8MLpZDBo7PO60uX/r8DqG+JTHyzVBJ8et8M+v8/e+cHnG3zdBBemQi6c3IHnVyENLkIs4bpevWZ+xNkgUCub1tbGxQKBb3G0W4VMwwTIkcgTY2k6S2ZvbR7i/DmOHZzWl+CNojbB/nuPB7PgFavBwrs8ZLcw2RR0ldC5/F4WAt2K8RiMdLS0hLerzzWYC9KLBYLAoFApwbAaEC+O6PRCJPJRKVAZPxJSUmhkhCr1Qq73d6pATBRZE3h2Lt3LzIzM5GTk9Oj40mYiFgsHhT3FUeSw7B27Vr84Q9/wJdfftnjvzl8+DCkUikKCgrid2K9QCAQQFtbGyXF7e3tkEgktGpLSFlXNzCbMLe0tEAmk1FrtAuRDY/HEzIIkcoIGQyimfCCDAOL3UvJbwfpdaO53YM8rRT3zC2kx3VFfAFgQo4Sb6+cRP//t1uOQZwiQKZSjEyVBBnn/q2VCSM2xMUKRFtpNpthNBrh8XhQ41XAK5DCwxej1RPsiCt2+GB2eJGhEOONWycC6BiAFvz1a5xp9UR87UylGNvvn0n//4EPDsHY7unw7g0jvga5CJPy1HH7nAMJtpuDxWKhDThEltHdhEQ0juTvPR5Pp8a2oQ62bIDYgPXGYi68KYy4fbC1nEMdxOqS3MPBYLDHYympyBPS1t7eDqVSSUnbUEgWvRDCPeBJnwaZIy90H5LFHbnGgUAAer0eaWlp3VbkGYYJmSetViv9bhOxeXbPnj3Izc1FVlbWhQ8GR5IHPdatW4df//rX+Oabb3r8N0eOHIFYLEZRUdGFD44DgsEg3G53SMMdwzBQq9X0wZNKpVHdsGwnB7PZDKFQSCsQarUaAGhqktls7rRCvpBfaCDIwOrw4iyr8qtKFWLJuI6kMoZhMPnpL+HydU40A4Dx2Uq8c8d54nvDv/chyHSkxqUrO+QQGUox0hViZKklnTSwsYQvEISQZRm2qbIZZ1vd51wdOhwdrM4OH98slQTv3jGJVirL/rEfje2RXVUylGK8c30xHcxfP+yHixHCoExFpkaOdFVqB/GViaCXizAqUxG3z5iMYFcqTSZTRJ1tiNbZaoVIJKITFkfaLozwRQlbJ0oW5V1V+ge7b3MsEEn/Hl5lBkAbG00mEzweD3Q6HSXGQzVMpqcgUipCXt1ud0hhSS6XIxAIhMyHxFvfYDBE7fjBtjglEkgSiEW+35SU7j3Y44lvvvkG+fn5yMzM7NHxHEke5Ni8eTPuv/9+7N/fdWJZOI4ePQqhUIji4uI4nlkofD4fbDYbrRY7nU7qWazVaqFWq2OuLSMa0LNnz9JIVwCdPFfJYBwIMrA4OirADMPQsAsAuP0/36O+xQ1ju6dT5Tec+F72169xttUNgzyM+CrFKNJJMWeEPqafk37eIAOXLxAirVi7vxGNNjclu2ziW6BLxQd3TaHHXvG3b1BndUV87QylGJ+xKr6/3XIMVocPKokAYsYLvs8Bgc8JpYgHeUoQeRoJ0tLSqOPAYBh8BgLsCltzczPsdjv4fD6CwSAUCgXS09O5SlsfwXahaG5uhsfjoc3NGo2GXuNEcnVINhDpi9FoDBmL+Xw+DAYDMjIyuMVdH+F0Ouk1bmlpoS5WYrEY6enpyMjIiLlGnmGYELJutVrhdrtp0JJOp+v3oJrdu3ejqKgIGRkZPTqekGSJRDIoxtDkVujHAcQnuTcdnf3hbhEIBOBwOCgpbm1tRUpKCjQaDTV0F4lEcXl4SIgIqRK53W4oVSrwRFKkChi65fR2lR02/xnYvIDR7oWp3UsJ8LhsJd5lEd8Gm5vagvF5QJqio9qboRKjJCyg4d07JkEpSQmp0kYLpzcApzcAvfx8VeU/39SjgVR8HcTZwYsWpw8l6XJ8+OPzxPffu+tQ2wXxtTpCGz7njdCj1eWjVmY6mei83lcWWtV55LIilhOFDYFAABpNR+MO0ZQ3NjbC6/XC5/MllKVYsoBs8ZP7mMfjIT09HSKRCG63Gy0tLairq4PT6YxKK87hvPaVXGPi7CAQCOB0OmGz2eByuWC32xPOYi5ZEB6zLZPJKFmz2+108debwAsOoSANq0ajEW1tbVAqlZDLO+al1tZW1NXVwWazxZy48ni8Tp7QhKxbLBacOnWKxmqzG5TjSUaTPQylr+BIchhEIlFC+CQHg0F4vV7acGez2eDz+aBSqaDRaDB8+HDI5fK4TDBsrdbHh5pQZ3XCHkiBkxHB5kuBxZkKs92B0Vl8KhlwOBz4/T++R7M9tEmMEGA2KQWA3141EpIUPjJUHb9L6eYhDCeUbPiDQdicfrh9AWrZBgCvfXkaDbbOxNflC2JkhhzlLOL77r4GnLb0jPguHJ2GNrefprWxI4vDP+PDl3cd+BDepEOaGvV6PcaOHdtpYiPHm0wmGuNMoqINBkPCeMQmErqzaIvklMCugJ44cQKVlZX0GvdHFHkyIlJEMdG+Dhs2rFNFviuLOXYYA4dQsJ99k8kEh8PRbUw8qTJbLBZUVlbS5jRyjYdKI2RvwL7GRqMRTqcTOp0OWVlZGD9+fKddD6IpJoExsei9iQQejweZTAaZTEYtGskOcm1tLaqqqiCXy6msJh6LTs7dgpNbhGD37t1YtmwZTpw40eMbo7q6GoFAACUlJRc+uBv4/X5KnGw2G9rb2yGVSqkuKlbewWdb3Tjb2tH4drbV0/FvmwtnrA7IBEHcWeKnA+uDO9pxtgutbKZKjO33nZcM/O/bMwgEGWgkfIgDTvDcNgSdrVAp5NQp40KNfwzDwOkNwOzwwutnMDxNRn/34menUN/iCiG+NqcPDICSdDnW/eQ88V308h7UWJwR3yNHLcEn9553dfjHrlrYPf4OwnsuuU0n7/hvdaowJhVsIHTyIvZhbLun3hAE4rjAriYRwpzsNll9AXERIcSYWLRFYwtHqknETo9cY2J/NlSvMbEQI9eYRBT31uUiUsBNvC3mkgVkMRFuNUjuv57OA2QRE2kxPtSrzNE23oWjOxeneDpXMAwT4tZhtVrP7UCGNhn39fv94osvMHr0aOh0PXM3GmxyC44kh2Hv3r24/PLLUVtb2+Mv+NSpU/B6vRg5cmSv3isYDFLj85aWFthsNppZz16R9uYm9/gDONvqQeM5OUNjqxspfB5+NqeQHnPZX7/uMghClypAxR1j6OD5+63HYXP6zmmBJVQLnKkUQysTQcDv/hr5fD40GU2orm9GvbEFPEEKpg5Lp41/z2w7iTqri4ZWWB0+ePwdVfmSdBnW/WQqfa3Fr+zBKXNn4ssDMCxNhoqfnj/2v3vq4fAGIhJfqfDC0cSxALuSSQZPmUwW821QdnMlu2lqKDgFRLJoiwcJIAscQlpImh6RZSS7t+yFQBxvzGYztRAjhC1WGnm2xRxxc4iFxVyyoKsY6L40hYWDeNWzF5HRLtSTEWQRTbTcxBc8LS0t5tc4Uh6ATqeLW79DMBhEe3s7fW+bzQaxWBzSACgUCnv93p9//jnGjRtHEzp7ch4AOJI8WHHw4EHMmjULDQ0NPf6Ca2pq4HK5MGrUqG6PCwaD1F6KaItdLhf1LCYNd92RGrvHjwabG3aPP8S+6773q7C/vhUWR2epiEEuws4HLqaE/Bcba9DQ5odGDKQrxcjRypCfpkKOVoZMpYSGY3QFhmHQ7vHTRDaGASbnnz+XxzcexWmLkya3tbrOV6KLtGI8e4kaRqMRAPCH7/loaO/sXJEqFGCYQYr37pxMf7Z2fyPcvs7JbepU4QXJen8hfKInFaBYb8N1hXAnB6JfJoRmMBCNgbZoIwEFhNA4nc4QWcZgsIiLtMVPmocMBkPcLarYFnNEKkMs5gwGw6BxwwiPgY6Ft3dPwZbVhVeZiY/9YKgysz2iLRYLpFIpdaSI965bd8mysdwdjvS+ZDeCVJkJ1+jtTs2OHTswceJE6qByIXAkeZDjyJEjmDBhAkwmU4+/4NOnT8PhcGD06NGdfhcIBGC326k9W1tbG0QiESXFZHUX6Wb96LARR5vsqG9x4UyLC/UtbthcHRpZQnwJbn3ze+yttQHoIJhZ6o5qr07Cg0rgw48MHpppT+yv2BONN3Dem9fi8ILP4+Hi4vMrx1+WH0KNxUl/7wucv22Gh1Vxr3p1D06aQiu+fB6gkYowzCDF67dMpHGo7397GlZbGyQ8H3L0KhRm6TEsOx0qeXJUNHpizTRQEw07YIN4papUqhCv1GSBy+Wi1zjRLNrCpS+EaCRbUEO4VCUYDIbIKAayUZRoQIlFH4mnJt9/sjSxMgwTYtPmdrsTJjiFXWW2WCzw+/0hOttkqjKHLz6USiUlxgM57pEFPiHNTqcTKpWKkuZ4kXaGYULiultaWgAgZKemK1K7fft2TJ48GSqVqtPvIoEjyYMc1dXVGDFiBJU+9AR1dXVoa2vDmDFjaMMd27PY7/dTz2KdTgekiNHY5sMZmwv1La5zJNgNly+A/952EX1dNvFlQ50qRI5GgndWTqIV1EON7QAYqIRB+B0dQRWN5lZ4IAQvVYmgSAaVUoEFo8/buKx+rxKnzA5YHT60uUN1x+HEd8mr36La5Ag5RiYSQCsToVgvxSvXj6M/33bEBH8wSGOKdTIhVN1Ue9m2XEajEXa7HWq1mg5qiTY4h6c2sY3g4xUlGwuEewFLJBJKmNVqdUINaOxqrdlshsPhoARfr9cnrEUbm2iaTCYwDBMiy0g0MhfulJAMBJ8dxmM2m+F0OmmVOxHvje7SNrVabUJKdSIFbbB1tolWZY7UeKfVaukckqh2g2ziarVawePxKGHW6XRxO+9AIIDW1lZaaSbFHfL9su/LTz/9FNOmTYNC0TP/fdLol6jzYG/BkeQw1NXVIT8/H1artceDV21tLUwmE5RKJWw2G+x2O0QSKTwiJTwCKRZOyKevdfc7P2DnCUvE1+EB2P/obIhTOqpi//mmHnUtLuSoJcjRpCJNIYZUJIDbF4DF4YPV4YUADKZlCuhg9sL3fhjdfLR5GQTCvtlhBhk23H2e+Ja99i1OGM8T3xQ+jyazFeqk+POK85XxL06cS887J3HQSoWQCONTvXO73bSZoqWlBXJ5zxv/4gH21i97QEnmBiPixUkIEoAB19hGsmhjB1IkGsG8EMhuCSHM4ZKFgahokUpmuFSELaNINoTvMojFYnrfDJTFXDItSHsCts7WbDbD5/MNuCsJW1pmNBpp4x1ZSCfi4qM7kFAR9jxD3HjiuSvJMExIU7nVaoXP56PjwokTJzB9+nQolcoefw6OJA9iNDU1ITMzE2fPnu1yEgsGg9S7sKWlBQfqbTjdxsDiE6DFJ4TRzUNTmxcMOmQG+x+ZA1FKx839qw1HsO5AE60GK8QpkIoE9J98bSoUkhSsmHg+AvLGf+/DCZMDdk9n7W5GKoM/zDofpbly7ckQ4quUpHQQX6kIBTopfr/kfHPh3tMdBumEGKskA5fq0xVIUxpptCANQ2lpaXGdbNjVYrPZTC1+Er1aHA0ibQGz7eXi9VnZ9mHhulOS1pho92NfQMgcWfxJJBI6qcdTlsPWyZNKJruxM9kWH92BbTFnNpv7zWJuMEmbLgTyWck9ReKc2c2y8VqYhDfe8fl8pKWlxbTxLlEQHkvOdq7Q6XRxW9AGg0Fqbdfa2opAIBAib9PpdBCJRF2OzRxJHuSwWq3Q6XSoq6ujQnV/IIBasx1VdWYcbrChxuLEtYV+aFRKaDQavLLfgY+PtXT5mjdMyUaBToqbpubA4vBCJODjlje/R7XRgUCEy1+kl2LTz6bR/y97dQ9OnNP4CniAQghoUgXQK8QoSlPiicWl9NgfGtrOV4SlIkrOBwPIBEiqzMD5bcu+Bj+EV4tJEw3ZfkrGanG0iGczUSTdK9FkxnN7MdHAtlEzmUwxd3Ig1momkynEWo3IKAbT4qMrRLKYk0ql9F7r68JkKDTJ9gRkV4pcZ3aVORZkjt14Z7VakZqaSgslg20h3RXYCxNSnGNHV2s0mj5VzknBgkgeXS4XdDod0tLSoNVqqY2g1WqFw+Ho1ADInns5kjzI0d7eDqVSif99th9bDjai0hxAq78z+ZpfosPYbCXumlWA9/c14otqCz47Zu7ydXOUQqy7ayKtKCz7+14ca7YD6Kj26uXnQylyNRLcNlFDH4jjRjs0SgXyM3TIy9An5XZdrMGufhqNRng8HkoCDAZDj6pjpFpMiDHDMCFOFEOFsHWHvtpSdUVUOJ/W82Av0Eggh0qlCpFlXOh5ZwehmM1muFyukIawRNP1DwTC7c+iWZh0ZbdIKpmD2W6xJ4j0vJMqM3HM6Mk1cjqdtBiSSI13iQKSgkvmLxJdTe7nnhQzyBxKiDHxO09LS4Ner4/4PTEMA7fbHSLNANAprIbP5w+a+ZMjySw0NTVh8+bNuPPOO6Gbewvk067t9vgCXSq2rJpO/3/5P/biaJMdIgEfWpkQerkI6tQUyPgByPlezNU7kZqairS0NPjEKmhVCmhkIgj5vJDoSavVCqFQGCLgH0xborEGe6uzu8a/SLZSCoWCDuBDqVocDUhnNqnqdBVwEMmibaD1i8kEomdlRztHWpiQRR4hbMTxIZEbwhIF3VnMhUt9IsVAc8E9PQO7ykw8g9mOGaTKzK5kEv1+MjTeJQrC+YNAIAjhD2QBSHY/mpubaWMxkatotdpez39ER03e+8SJE9i3bx8MBgN+97vfxeOj9juGNEn2er348ssv8cknn+Djjz9GZWUltX+DvhAOzTAopiwHACjFAhgU4nPhFB2hFDlqCW6bkUdfz9jugVQkgEwUOazC7/dTfa3JZEJKSgqNwSZCeTJ4JFqHdjKBPamRppmUlBS43R0BKmxzdW7wjQ7hPrp2u51657pcroSyaEtmsDW2pNqTmppKg4iIFGYwarj7E+yYYRIWI5FI4Pf7qQ83FwHfN7CrzITMicViCIVCeDweajlIKpncIi86kF0lQlzb29uRmpoKgUAAl8uFlJQUSoz7upPHMAyOHTuGiooKbNiwAYcOHcL06dNx++234/bbb4/hpxo4JM1d+PLLL+O5555DU1MTxo8fj5deeglTp0698B92A4vFgltuuQWXX3451qxZg/nz50Ov1wPo+PKPHz+ODz8sx/r16/D9999DPWMGppWV4apLr0J2dnanCSlN0TXhIslgLpcLHo8HDMOAx+NR0++UlBRIpVIoFIq4G/UPZjAMA4/HA5/PB7//vK0dCXIRi8UQi8VITU0dMprBeIDctySClNzLDMMgGAxCIBBAKBRCJBJx1fk+gMfjgc/ng8fjQSAQwOfzgV3X4PF49BgO0SMlJQVCoRApKSkQCAQh9zb7viY/58bn3oMsPFJTUyEWi5GSkkLnPqBjjPb7/fB6vfB6vRxJjhJ8Ph8KhQIejwdOpxMOhwOBQICOEWTh53R27Gz3dtEXDAZRWVmJ9evXY8OGDaipqcH8+fNxzz33YMmSJdDpdIPq+UiKSvJ7772HW265Ba+99hqmTZuGF198EWvXrsWxY8eQlpbWp9fuyYDHMAxqa2uxbt06rFu3Drt378akSZOwZMkSlJWVobCwMOJrhPvpdhUBSlZ+RqMRzc3NYBiGNiZwVbgLg+hmyXUm2uLwanFXjX/cde4Zwi3augp0CI9w5vP5Ib6w3HXuHuE68JSUlIgx4+yADXIcqSpz1/nC8Hq9IUlsxDkn3G0kkYNskgHkOhuNxi4b78KrzGz3l4G08ksmeL1eqi+2Wq2QyWRIS0tDeno63Zlmh1+RBnXif92dZjwQCGDv3r2oqKjAxo0bYTQaccUVV2D58uVYtGhRj4NGkhFJQZKnTZuGKVOm4G9/+xuADlKZm5uLe+65B2vWrOnXc2EYBk1NTVi/fj3Ky8uxc+dOlJaWYsmSJVi4cCEaGhrw0Ucf4ejRo3jooYd6rXkl3qrkZvd6vdwWVBjY/rPET5JcZ7Lt3JPrTBYmJpMpqsa/wY7e6Da7AruhjFxnomM2GAxcNR+hmnq2Vp4Q3p5EMIc7LRDtZyIkuSUKCBEj14jcz2ybtgtdZ7benn2dOb19KCI13hFi3JPGO6JlJhIYr9cbYn/GNe91gGQKGI1G2Gw22uCYlpbWI1cRn89H72eLxYK6ujr84x//wLx587Bw4UI4nU5s3LgRGzduhNPpxKJFi7B8+XIsWLBgyHwHCU+SvV4vpFIpPvjgAyxdupT+/NZbb4XNZkNFRcWAnRvDMDhw4ABeeOEFfPLJJ2hubgafz0dhYSGWLFmCRx99tE/2N2TyJA9BeIrQUCIYbM0gCZqIVTJRpMY/okFMS0sbUgSjOweAWFznvpKUwQJ2EySxzWI7LcTqOpvNZrS2ttJAnqGmXSbJjezFMFk89LUhjHNuOY/uGu/6ukgjUkVyndlVZp1ON+Sq+ex02vb2dmg0GsoJ+nqdT506hd///vf4/PPPYTQawefzMWzYMCxfvhz33XcfMjIyLvxCgwwJT5IbGxuRnZ2N3bt3Y8aMGfTnDz30EHbu3Ik9e/YMyHk9/PDDWLduHWpqanDxxRfjiiuuwMyZM3HmzBmsX78eW7duhV6vx+LFi1FWVoZp06b1+UGO18ORiGCnD5nNZmrNx67Kx2uiJ41/ZHUul8vp6nywEbmBnOjD/U+72u4eLCCfN9y1It7byd25YPTVXzwR0V0MdDw/b6QF5mD2AGfLBIlPNNn1jKcjE7uZ1WKx0MZKtmPGYBujIxXL0tPTY+LH7XQ6sW3bNlRUVOCjjz6CQqFAWVkZrrrqKgDAtm3b8PHHH+PIkSOYOnUqVq9ejRtuuCEWHy0pwJHkKPHSSy8hPz8f8+bNi5hp7nQ68cknn6C8vBybNm2CRCKhhHnWrFl9HkD6us2SiOiqWsxO+elvsPWhJPGPLEyS1a96oFLJLnROhNgkSkx2X8FOFCQOIANdOQ/3U2anKyazXMDtdocsuEhoyECFp7C/+64kYck6dpDx0GQy0X6DaC3E+gp2lZlomcViMZ03krXKHE/ZJZHRffTRR6ioqMC2bduQmZmJpUuXYsWKFZg2bVrE7/HMmTP45JNPkJaWhsWLF/fl4yUVEp4kJ7Lcoqfwer3YsWMHysvLUVFRAZ/Ph0WLFqGsrAzz5s3rcxWY3RhhsVioYD8tLa3PCWnxBNkKJcSYXS1OxIkkEpFLlsa/SM1H/VHFjAZkgiDXmVRO4h2THQuwk/TMZjP1ko5Vkl6sESmZj9wXiZzMF2kBolar6bknml4yUtMruwCQyD0Q4Y13EomEFgoS7R4hBQDyDHo8HqjVavr8JXKVmfQVEGIcywZ+hmFgsViwefNmbNiwATt27MCwYcOwbNkyLF++HOPHjx90O3exQsKTZKCjcW/q1Kl46aWXAHTcTHl5eVi9enW/N+71FX6/H7t27UJ5eTnWr1+P1tZWLFiwAGVlZbjssssgl8v79PokEYpk25MBLVEiPD0eT4gTRSJUi6MBW+toNBqpppSs9Ad60iMVQzIxO53OkMkimWQj4USO6GsNBkOPmtriDVLFJAsQIhshC5BkmXzCXUl4PF5CVfPZJIKt4062GGgydpBn0+FwJNyz6XQ6KTGOpvEuEUCqzIQwt7S0JJwzSbjjEo/Ho/N1X8cOYjKwYcMGVFRU4KuvvsL48eOxfPlyLF++HCUlJQN+nyUDkoIkv/fee7j11lvx97//HVOnTsWLL76I999/H0ePHkV6evpAn17UCAaD2Lt3Lz788EOsX78eZ86cwfz587FkyRJceeWVfV6lk6oWeQAFAkHMTMR7CvaEQIzNVSoVJcaJQNz7CrZmjFS1BqLxj20JZrVau7RoS2YQfS3ZNSG2Z8QerT/u6fAgFTbJMRgMCV2t6inYzy2p5rNlGf0l6WLHQJvN5gH5vuONRLCYY1fmjUYjbbxLht2bniK8ykykRmzHjP54btmhYmazGSKRiM7LfZ3zGYbB6dOnsWHDBmzYsAF79+7F9OnTacW4oKAg6cem/kZSkGQA+Nvf/kbDRCZMmIC//vWvmDZt2kCfVsxADLoJYT527BjmzJmDsrIyLF68GHq9vk83d6Q4SkLidDpdTCcbku1OBn1SkQqPyBysCG/8I3ZesW78i4VFWzIjGAzCarVSsur3+ylRjXU1nzSDsZuyyHVOhJ2DeIPoPkk0M2nuJFvusRw/SBUzUXcO4olIke6EyMU67a+rxrt4PD+JCIfDEbHKTBwzYrlzEi5ZkUqlMZNERkq9mz17NpYtW4Zly5YhMzNzUD8z8UbSkOShBJL2V15ejnXrOtL+ZsyYQTtOI6X99fb1yeBIpAJswtzbwSF8+9Butw+6anG0IFpEUvkkjX/RVg3IljipzLMt2pJpyznW6E6jSqq7vQVZ7JDFXjyJYTKBvWAgC262LKO35CqZNejxRCTrs746z7B3F4mkZiAb7xIF4YsTUmUmY2s0xQ0iwzIajWhpaYFCoQhxSeoL2Kl3GzduxKlTpzB//nwsW7YMZWVlgy71biDBkeQER1dpf2VlZViyZEmXaX+9eX3ib2k0GuFyuai2trtQDbfbTYnaUKwWR4Pwxj8yQXWXRBfJok0mk9GJciiTte4QjdsBWTwOtMQgmcAO9okkPemKDLCfBVKZZ9u0DbT+ORERaTeD7UrTlcVceLJgIjfeJQrCFycikSjEMaOr+5OEqBiNRrS1tUGtVlNi3NfFXiAQwHfffUeJ8VBKvRtIcCQ5idBd2l9ZWRlKS0v7POCRUI3m5maqrSXNaC6Xiw7SDocjxLd4KFeLowHbiiu88U+j0dDo0ESxaEtmsH1ziW0VIXFKpTKkwRE4bz03WHTc/QmiryWyDBL6QKQCbM38YPfFjifY8cIkMIad0igUCkMa70gVc6iF9sQC7CqzxWKBy+WiC0GdTgcAlBg7HI6QIlNfi0V+vx9fffUVjYMeqql3AwmOJCcpGIZBS0sLKioqsG7dOmzbtg15eXlYsmQJli5dGhNLF5vNhtraWrS0tMDn84HH40GhUCAzMxOZmZkcgYgRGIaB2WxGfX09bDYbAoEA+Hw+lEolsrOzkZ6ePuBd2IMFwWAQTU1NaGhoQFtbG4LBIAQCAdRqNXJzc/us/edwHn6/H42NjTh79iza29vBMAyEQiE0Gg3y8vKS1mc8EeHxeHDmzBk0NzfD4XAAANXY5ufn99k1icN5OBwONDQ00J1XALQ6n5+f3+eKscfjweeff46Kigps3rwZPB4PS5YswfLly3HppZcOulCaRAdHkgcJ2trasHnzZqxbty7qtD+2bZjFYoHD4aDaYqVSSTWaVqs1JIWOG4B7j0gWbUQDp1AoaEU/no1/QwXhARoul4tW5mUyGXWqGMox2bEC+1qTGGiyTZ2amkp/R/oW2LIM7lr3Dl013pFKMhlfyDjOXevowb7WRqMRgUCAVu0FAgENZwqvMve0Ka+r1LsVK1bgRz/6ESc/GkBwJHkQojdpfydPnoRAIIDNZoPVaoVAIAjRFkeqFvt8vpDwktTUVEqYB3v3eV9APKJJIxjboq0rHWZ4459EIqGEmdMTdo3uopi70hSS74f8DScH6BmIpRVZhJAUtu609qSnITyi22AwJJW3dH+jq8a7nlxrUuBINK/gREUwGAyxUCXXOj09vct7lO3LbLVaIRQKodfrwefzaXMkEH3qHYf+B0eSBzlI2t+HH36IiooK+P1+XHTRRQgGgzh58iTq6+vxz3/+E9OmTaNVzN4QLxJTSgbtlJSUEC/moUzi2BZtJpOJekSTCSqaa93bCXKogN3gaDKZ0NraSq3DonFYIZ6qpCJKLN+idXAYbCC7SmxLOKLDjPZaE9JM9PkXakgbKoilQ053FnNcc2rofGYymSAUCqOezwKBAK3m//Of/8Q//vEPlJaWIjs7G3a7HXv37sXw4cMpMeZS7xITHEkeAqirq8PWrVuxZcsWbNu2DXw+H8FgEAzD4PLLL8e1116Lyy+/PCa2NCQ9yGg0Dkl7IbZFm9lsBsMwcbFoi9T4N5Q8ToHz3t+kgunxeKh1mF6vj5l1WKTwEOJ6EWvv2kRFPCz2unofIjUi3t9EbmQwGPrsKZsscLlclKgRyVWsG++6spgjKYZDZfcknjuj7NS7d999F9999x1kMhldnCxatAhXXnkl5s+fz7lTJCg4kjzI8cADD+Cll17CzJkzsXDhQlxxxRUYP348GIaJmPZXVlaGhQsX9nkrvysNF/FiHixVT1LBJJN6a2trv1u0sRP/SIc1cSUZbD6zpKpGJBEpKSkhMor+uK+GSthFf4a1dAV2iiQ7YXGwSQUS4Rn2+/30+zabzQgEAoO2ou/xeELCPWLZY0NsW0m4R6TUO6/Xi127dmHr1q3YunUrzUW46qqrYvQJOcQKHEke5Kirq4NKpep2lRop7W/u3LlYsmRJTNL+SCWOTAButxt6vZ5ayyVb1TN8e5hYtJGt+IGuLPZHFaq/0F1lMRrJSqzBjk22WCwQCARJHZscvggRCoUJoxVm7xyYTKaQ5y6WOwf9hUTeDQq3mGtra4NcLg9Z/CfTOAKcHxeJLZ5KpaLEuK9jNkm927BhAyoqKlBVVYXZs2dj+fLlPUq9q62thVqt5qrJCQiOJHMIAUn7I4T5+++/x8yZM7FkyRIsWbIEWVlZfSbMDocDzc3NtGKi1WrpYJWoISTh25JisZhOGBqNJmErWpEa/xI9SIDoJgkxThaNajiJI+dNSE+i3ttkJ4St5Sb3SKLKGyLt4PRFg95fiCZQKBFAGmHJGEjCo0jTcaIWOtjVebvdTucag8HQ53GES70bGuBIMocuEe+0PyC+CUV9AbvKY7FYqEUbu8El2QbARI6kJduf4W4Hib4I6QrsCji7aZNtLzeQ5zbYYqC7czMZaHlXrKPpBxrBYJBq9MMt5vR6/YAurKJNkO0pukq9W7ZsGRYvXsxVggchOJKMjgl62rRpOHjwIL7//ntMmDCB/u6HH37AqlWrsHfvXhgMBtxzzz146KGHQv5+7dq1eOyxx3D69GkMHz4czzzzDK688sp+/hTxRVdpf4QwxyLtL55Z9z0B26KNbJ1fyDYsWdGVx2p/bfVGagQbzB7F0cRkxxLhFUwAISRyMN7bhMS53e6QePH+kEMR9w+j0Tjovc4j2fmRnZ/+WKCQOHlCjIl2nsj5+vr+fr8fu3fvpsSYS70LxWDnTxxJBnDffffhxIkT2Lp1a8iX3NbWhhEjRmD+/Pl45JFHUFlZiZUrV+LFF1/Ej3/8YwDA7t27MXv2bDz11FNYvHgx3n77bTzzzDPYv38/xowZM4CfKn5gGAZWqxUbNmygaX/5+fm46qqrYpb2R6ovzc3NsFqttOM4PT09ZpUKUlEjAzwhatFatCUr2ISVLYGJdWWREDVyvcMbgxJVjhBrsGOySRQ2udaxJBXh/rjEY5sQ82TTS0cLtjWgzWaDTCajhDlWCxR24x1Z9A3W5tnuQCRH5HrHy2KOvE9zczNMJhMYhqEFlVjsinWXenfJJZcMme+zJxjs/GnIk+StW7figQcewIcffojRo0eHfMmvvvoqfvWrX6GpqYlO4GvWrMH69etx9OhRAMD//d//weFwYNOmTfQ1p0+fjgkTJuC1117r988zEOgq7W/p0qWYOnVqTFbybC9mkUgU9XZlJIs2trZuqBC17kDcG0iDC7vxr7ed36SCSsz1uYCOUJAqGKnwut3uqJvRElnikSggzz+RZQDRV9QjNd6Rrf2BbrxLFJAFCunlSE1NDenl6M3zz5aLmUwmCASCEA/jvo4lXOpd7zEU+NOQJsnNzc2YNGkS1q9fD71ej8LCwpAv+ZZbbkFbWxvWr19P/2bHjh245JJLYLVaodFokJeXhwceeAD3338/PeaJJ57A+vXrcfDgwf79QAkAp9OJjz/+GOvWrbtg2l80IM4S7BQkMlBGGnQJcSAD9UBYtCUzvF4vJV09afyL5ClMYlqJn+5QqM5Hi/Amugt5BEdyfGDLZrhFX9cIBoN0J4los9myjEhVz0iyFfI8JHLjXSKAWMyRsdjv94fIMiItCIl7DCmQiMVipKenIy0trc/Nmd2l3i1fvhzTp0/n5oZuMFT405BdGjEMg9tuuw0//elPMXnyZJw+fbrTMU1NTSgsLAz5WXp6Ov2dRqNBU1MT/Rn7mKamprideyJDKpVi2bJlWLZsWUja38qVKxEIBLBo0SIsWbIE8+bNi2rLim2xRQiC0WhEVVUVGIahFSEAsFqtsFgs8Hq90Ol0yMzMxNixY7mtsl5AJBIhOzsb2dnZIZWc77//nsYP63Q6MAxDK/Qkna6goICrqPUSMpkMMpmMeqkSAldTU0ObGTUaDU0GI01qBoMBI0eO5IhaL8Dn86HRaKDRaDB8+HDqYGMymXD8+HFIpVJa8STfBSFqaWlpGD9+/JBPFe0N2Gms7F2PhoYGHDlyhFrMqVQqeDwe6mEsk8mQlpaG4uLiPuu5yTi1ZcsWVFRUYMeOHSguLsayZcvwxBNPcKl3PcRQ4k+DjiSvWbMGzzzzTLfHHDlyBJ988gna29vxyCOP9NOZDT2IRCIsWLAACxYswCuvvIJdu3bhww8/xM9//nO0trZiwYIFKCsrizrtj8/nQ6fTQafTIS8vD2fOnIHRaERjYyMAIDU1FRkZGcjLy0tY27BkAnt70+FwoL6+nk5yQMcCKScnBzk5Odz1jgFEIhGysrKQlZUFu92Ouro6GI1G1NfXA+gg1Hl5ecjNzeUqxjGAVCpFXl4e8vLyYLfbUVtbi7Nnz6K2thYAIJfLUVxcjKysLO569xE8Hg8KhQIKhQJFRUVoa2tDXV0dzpw5g5qaGvB4PMjlcgwbNgzZ2dl9WmizU+82bNiAXbt2Yfz48Vi2bBmef/55jBw5klvonAPHnzpj0JHkBx98ELfddlu3xxQVFeGzzz7D119/3Wkynzx5Mm688Ua8+eabyMjIQHNzc8jvyf9nZGTQf0c6hvyeQwdSUlIwd+5czJ07F3/5y1/w7bffory8HE8++STuuuuuXqf9sRtEzGYzXC4X3b4hlU3S7VxXVxfij8lNcL0H0c6Gb03n5+dDp9MhEAjQ611TU5P0lmIDja6isEl1nh2lW1NTM+RismONrhrvCgsLYTAYqPPN2bNnUV1dHSIh4rTe0cHhcNAxo729HRqNBsXFxdDr9fR6NzU1obq6utcWc+zUu40bN2Lv3r2YNm0ali5din//+98oKCjgiHEEcPypM4asJrmurg5tbW30/xsbG7FgwQJ88MEHmDZtGnJycqjwvLm5ma5kH330UZSXl4cIz51OJzZu3Ehfa+bMmRg3blzCCM8TGcFgED/88APKy8uxbt06HD9+HHPnzkVZWRkWLVoUkvZ3+vRp2Gw28Hi8kEhiElHbVWNFpMF4qHWdR4PwJkfgfJOTVqvtsroT3vhHrN36y8ovWUH09oQYE9kKkbR0db2J3ZjJZEJLSwt1bzAYDAkbqpEIYFuHESeGniSBulwu+kwQ1xDyPXHNqF2DLERIkJTL5YJWq0V6enq3+nm2xZzVaqXjfltbG0pLS6k3MQnCqqio6JR6t3Tp0j4HYXE4j6HEn4YsSQ7H6dOnOwnPW1tbUVJSgssvvxwPP/wwqqqqsHLlSrzwwgshFiZz5szB008/jUWLFuHdd9/FH//4x4SyMEkWhKf97d+/H2PHjoVcLkdDQwNqa2tx77334o477og6DcztdlPCbLPZoFQqqYQgVvZEyYxIdlmEAERjl0Ua/4i+MBkS//oTbN0xcW7pSww0273BbDZTvTLXWNaB8MZfACGBOr29PmxbQ7KwGYq2hl2B2GySMZc0lpKFSG8dI9g7iPfeey+++eYblJSUQK/X48yZMzhz5gwuvfRSLF++nEu960cMZv406OQWsYRKpcInn3yCVatWYdKkSdDr9Xj88cfpFwx0rHrefvtt/PrXv8ajjz6K4cOHY/369QnzBScTSAJcUVERSkpKcPLkSRw7dgypqamw2WwYP348DAYDAETtlSyRSKjukE3gqquraYNIWlpawsbxxhrhwQvs6s7o0aP7vHXPbvxj+wOTxj+2M8BQqcB15WBRVFTU5/tOKBQiIyMDGRkZId/t0aNHaQMrIc1DhcARaQq5x2PZeMfW6bP9xuvq6nD48GEqExiMATldgd1QbTQaaUN1SUlJnxdqfD4farUa1dXVmDRpEmpqanD8+HEaQFVQUIARI0YgPz+f20UZYAwW/sRVkjkkDNatW4drrrkGo0ePxqJFi7Bo0SJMmzYNAoEg7ml/8bQaSjR0F+HbX8mC4Yl/xA4q2gpTIoNYjUXyQjYYDP3S5HghD+XBZs0XLkGRy+UhXt/98VkjJdH1ZZcgkdFba87egp16t2nTJjgcDixatAjLli3DFVdcAZlMBrvdjk8//RRbtmzB5s2b0dbWhpqaGuj1+hh9Sg5DERxJ5pAwsNlssNvtyMnJ6fIYdtpfeXk5Pv30U+Tn52PJkiUoKyuLiYVPvE3r+xsMw4TIKFpbWyGXy6kf7EAvAkgFjlxvkvhHSE0yOmX0V6petPB4PCEx2cmexsdeBBiNRtp4lyjNjIREEtJMgkeILCNZ7/FYhTxFQl9S7xiGweHDhzF69Og+nQMHDhxJ5pDUiHfaX6T4U6Jh1Ol0CUsm2CETZrMZHo8n6iS3/obT6aSEOZka/0i6ICGeUqk0hHgmaqU2UkBGtCl0/YmuGu/INU9Uf242oTebzWhra7tgaEyiILzHQCqVxlSiRlLvNmzYgI8++ggymQxlZWW4+uqrudQ7DgMCjiRzGDToKu1v6dKluPjii/s8abInZRJDyybMAz2As5vA2O4fydy0FT4pp6am0mueCBXwcNuwZI+BJo1WhDA7nc6EsvOLdeNdIsDj8YTIn1JSUuhiNhE+E1n8Ed0viamPxaKV7CJt3bqVS73jkJDgSHIS4PTp0/jd736Hzz77DE1NTcjKysJNN92EX/3qVyHNNz/88ANWrVqFvXv3wmAw4J577sFDDz0U8lpr167FY489htOnT2P48OF45plncOWVV/b3R4o72Gl/FRUVNO2vrKwMc+fO7fNkz5YIEDsjoqntrypWMlekogFbwkBkMIQg9ZfGMzwGmmybD9YY6PAmQyLT6c/mVna/AFvbS+RPg+kejxQzPhA7QGQ3x2g0oq2tDWq1mhLjWIydXaXeLV++HBMmTBiyxJib6xMPHElOAnz00Ud47733cP3112PYsGGoqqrCXXfdhZtvvhl/+tOfAHTIDkaMGIH58+fjkUceQWVlJVauXIkXX3wxxG5l9uzZeOqpp7B48WK8/fbbeOaZZxLKbiUe8Pv9NO2voqICra2tuOKKK7BkyZKo0/7CQchqc3Mz1UOSSSWWesNAIBAioxgM2sZowCYTRqMRgUCAVs1j3fhHSBqp9LGj0TUazYBX+voL4TsVQqEwbo1oxKpxIBvvBhqkl4A86/HsJSDvRTyM2X0BaWlpfV78kdS7jRs3oqKiArt27cK4ceOwfPlyLF++nEu9Owdurk88cCQ5SfHcc8/h1VdfxalTpwCAGnc3NTXRAW3NmjVYv359iHG3w+HApk2b6OtMnz4dEyZMSBjj7ngjGAzi22+/pV7MDQ0NNO3vyiuvjMnE43K5aBWmtbUVKpWKTjbRNBCRJqvwLnmyHTtUqy4E7HQ6o9FIJQJ9afwjgSjEL5qQE4PBAIVCMeQndPZijbiTsBcpvd1JISSNPDd2u51WLxOh8S4R0J0rTTTNoOS5Idfc7Xb3KEylN6/fVerdihUruNS7HoKb6wcWHElOUvz617/GRx99hO+++w4AcMstt6CtrQ3r16+nx+zYsQOXXHIJrFYrjWx+4IEHcP/999NjnnjiCaxfvx4HDx7s508w8OhN2l+0IASXaGpJRYxsV0cC22/VbDajvb2dNq8NJb/VaBEuESCBMd3phNmEIVyLq9frOZLWDdj3K9Fmq9XqEHu5rv6O+DgbjcaQxrvBKF2JJcL9zd1uN3Xz6O5+ZVsvkh0Ydl9FX3dFukq9W7ZsGZYtW8al3kUBbq4fWHCtokmI6upqvPTSS3T7BQCamppQWFgYclx6ejr9nUajQVNTE/0Z+5impqb4n3QCgs/nY8KECZgwYQKefPJJmvb3+uuv47777sPMmTNRVlaGq666KurBXSwWIycnBzk5OTTUwGg0oqamBqmpqSFpf2yLqEAgAJ1Oh9zcXI4w9BIymQwymQwFBQUhVmcnT54MafyTyWQh1VASA11UVNRtDDSHUPB4PCiVSiiVShQXF9PYZpPJhBMnToS4fMjlcho0wW68GzFiREJY4yUL+Hw+tFottFotSkpKqMVjc3Mzjh07RqPJ9Xo9FApFJw9jg8GA0aNHx0QmEwwGUVlZiYqKCmzYsAGnTp3CpZdeitWrV3Opd30EN9cPPDiSPIBYs2YNnnnmmW6POXLkCEaOHEn/v6GhAVdccQWuueYa3HXXXfE+xSEDHo+HkpISPProo3jkkUdQW1tLK8wPPfQQJk+ejCVLlmDJkiUoLCyMatAXCoXIyspCVlYWAoEAGhsb0djYiNOnT4NhGKSkpECr1cZs8uIQukjx+/1oamqiEecMw0AgEECn02HMmDHcNY8RUlNTkZubi9zcXPj9fjQ3N3e65lqtFmPGjOHkQjECWRjm5+fTxXhDQwMdWwQCATQaDcaMGRMT0hoMBrF3715KjI1GIxYsWIBf/epXWLx4MVQqVYw+2eAAN9cnLziSPIB48MEHcdttt3V7TFFREf3vxsZGzJs3DzNnzsQ//vGPkOMyMjLQ3Nwc8jPy/xkZGd0eQ37PoQM8Hg8FBQV44IEH8POf/xxnz57F+vXrsW7dOvzmN7/BqFGjaHhJbxpO2NpZEpqhVqtRXFwMoVBIrbdsNluIrRVHIqIHu/nJZDKhra0NSqUSRUVFEIlEVCZgtVqpHjMR7PySHeG2YXK5HAUFBZBIJLDb7TCbzTh48GCIM8hQaTqNF9g7VRaLBampqcjPz0dqaiqcTifMZjMOHDgQIsvoSgoTCV2l3j333HM09Y5DZHBzffKC0yQnCRoaGjBv3jxMmjQJb731VqdtSSLmb25uptvEjz76KMrLy0PE/E6nExs3bqR/N3PmTIwbN44T8/cA3aX9LV26FOPGjetEaL1eL1paWqiMgmzpk3/Ct/TjrRkcCmDrNUnIRHdkLFLjHzk+WRP/+hvsxjsSe91d411XixdOd9879LbngZBl4hoilUqpDlyhUHRaHHo8HuzcuRPr168PSb1btmwZLr300gH3zR6M4Ob6xAJHkpMADQ0NmDt3LvLz8/Hmm2+GPDRkZdja2oqSkhJcfvnlePjhh1FVVYWVK1fihRdeCLGFmTNnDp5++mksWrQI7777Lv74xz9ytjBRgqT9lZeX46OPPoJer8dVV12FiRMn4vjx49i+fTv8fj+effZZOhH1JvKX3UzW3NxMG5ti1X0+mBDuodyXzn9C3ohHbE8a/4YiSPAIWdCRxQi5P3ujo/d4PCH2cmKxmBLmZIyCjydi5Z5Dnhmz2Yy6ujrcddddmDJlCubPnw+1Wo3PPvuMS73rZ3BzfeKBI8lJgDfeeAO33357xN+xvz62wbher8c999yDhx9+OOT4tWvX4te//jU1GH/22Wc5g/E+wu/34/PPP8fLL7+MHTt2oLW1FUKhEGPHjsXKlStx0003xcROKZ4+psmI/oiBZjf+WSwWGsNrMBgGPPFvIEAS78g1ITHt0dqQdfUeZMFDdl/Y7zEUSRpJdiT2eH21OGSDuIy88MILKC8vpzrmnJwclJWVYdWqVZyPcT+Bm+sTDxxJ5sAhSrS1tWHVqlXYsmUL+Hw+rrzySlx11VWYM2cO9u3bh/Ly8rik/QHxTcRKVERrNRYrkMqb0WiE2WwekMS/gUB44p1QKKQELd5V3kSPyY4X4p3oSaRjmzdvjph6p9VqsXXrVmzcuBGfffYZcnNzcfPNN+Pxxx+P0SfkwCE5wJFkDhyiRDAYxO9//3vMnz8f06ZNi1hF64+0v/AmKYVCQQlzsssDgsFgSOWyr6EVsTwvtpUZSfwbLI1/kRrv+juOOhIGc8gLqegSYuzz+eg11+v1MfEwjib1zuFwYPv27TCbzVi5cmWfzoEDh2QDR5I5cOgnhKf9NTY2Yv78+ViyZEnM0v5IdHBzczOsViv1Yk5PT0+aON/+jD+OBcIb/1wuV0i1Mxka/9iNdEaj8YKNd4kAdly42WxGSkoKvebJ4gpDFlvNzc0h8hWy2OrrZwhPvfv2228xbdo0WjGO1s6SA4ehAo4kc+AwAOgu7W/x4sUx8TL1+/10m9xsNkMkEtEKc6w0u7FCVxXCga5cRoPwxj+VSkU/S7wlIb0Bu/HOZDLB7XZH3Xg30CBkk9xDPp8vxNEkkT4L0VyT6y4QCOhzGQv5Cjv1bsOGDaisrORS7zhwiBIcSebQL3j55Zfx3HPPoampCePHj8dLL72EqVOnDvRpJQTIpPbhhx9i3bp1OHDgQEzS/tggDVfs1C0yMQ9EdXaoaE3DLboGuvEvUuMdWyYyGCwGGYahjW5Euz7QCxW2rttsNkMsFiM9PR1paWkxuQ+CwSCqqqqwfv36kNS75cuXc6l3XYCbkzj0BBxJ5hB3vPfee7jlllvw2muvYdq0aXjxxRexdu1aHDt2DGlpaQN9egkFsj1KKsxff/01Jk+ejLKyMixZsgQFBQUxmVCJntZoNFL3gHgTpXDXAkLQhoprAansk89PKojxlpGEyxL6s/EuEdAfLiiR4PV66TNmtVohk8mo9CkWPtDs1LuNGzeiubkZCxYswPLly7F48eIh6b7SU3BzEoeegiPJHOKOadOmYcqUKfjb3/4GoGNwz83NxT333IM1a9YM8NklLhiGCUn727lzZ9Rpf929B9vr1uv1hngx95W4si3UrFYrxGIxJWi98YwebIi0UIll41944x0haMkoX4kl2H7aZrMZAGJqYed2u+l3arPZqMd2rCrYJPWOEGO73Y5FixZh+fLlXOpdL8DNSRx6Co4kc4grvF4vpFIpPvjgAyxdupT+/NZbb4XNZkNFRcXAnVwSgVg2VVRUYN26dT1K+4vmPdh+rEQCQUhtT3Sd3SWpEaIwVAlaV2CHxphMJtr4F+11ZzfekeueiI13A41gMEglPyQMJZqGS5I0SK67RqOh310sZEPhqXcAUFZWxqXeRQluTuLQGwzu/U0OAw6z2YxAIID09PSQn6enp9MITQ4XBo/Hg06nw8qVK7Fy5cqQtL8FCxbQtL+ysjJMnTo1qooYj8eDQqGAQqFAcXExnfzPnDmDI0eOdDn5dxUDnZ2djQkTJiRU01QigsfjQaVSQaVSYfjw4ZTsNjQ04MiRI13qadm6bqPRSBvvcnJyekyuhzL4fD40Gg00Gg2GDx9Om0cbGxtx9OhRaqUYHpNNFpMk2IfEmOfm5sasSdDpdOLTTz9FRUVFSOrde++9h9mzZw96aVI8wc1JHHoD7knjwCEJoVQqcf311+P666+H0+nExx9/jPLyclxzzTVITU3F4sWLUVZWhosvvjhqL2GZTIbCwkIUFhbSbeTm5mYcO3YMCoUCUqkUfr8fNpsNfD4fBoMBJSUl0Gq1g6IBbKAgk8kgk8lQUFAQ0vhXXV0NqVQKuVxOPXWJnnz48OGDpvFuIMDj8UKuu9frpYu+U6dOQSQSQaVSAegIESKypKKiopjIkkh4yEcffYSKigps27YN6enpWLp0KTZv3tylDzsHDhziC44kc4griAl+c3NzyM+bm5tpFj2HvkEqlVJ7J6/Xi88++wzl5eW4/fbbQ9L+5s2bF7Vnr0QigcFgAHA+9MDhcCAQCCA1NRUZGRlJ5cWcLCAuCAKBAAKBAGazGS6XCwzDICUlBRkZGYM+8W8gIBKJkJmZCYlEApFIRKvG5N5mN7pGS5DZqXcbNmzAZ599huLiYixduhSPPfYYJkyYwH2ncQA3J3HoDThNMoe4Y9q0aZg6dSpeeuklAB3b83l5eVi9ejXXJBFHdJX2V1ZWhssuu+yCTT7skAyTyQSHwwGNRkO9Z6VSadytrYYqwh0ZSOMdSZYjBItUmUlFmXw3XNUxOlzIKpHH43X5TPQkdIWderdhwwZ8+eWXGDduHJYtW4YVK1bEpBmXw4XBzUkcegqOJHOIO9577z3ceuut+Pvf/46pU6fixRdfxPvvv4+jR4920oVxiA+6SvsrKyvDwoULKaF1OBzYsmULSkpKYLPZEAgEQkIZupNuxDskYbCDaMBJw6NKpaLEuDtnhFg0/g1l9CV0x+l0Uns94iLi8/kAABdffDEEAgG1ddywYQM2bNjApd4lALg5iUNPwZFkDv2Cv/3tb9S4fcKECfjrX/+KadOmDfRpDUmQtD9CmI8dO4YRI0bA7/fj9OnTUKlU+Oc//4mJEydGvY0f77jdwYCuGu9IVTJachst2R5KIJrj8JCXvljkkV2Vt99+G08//TREIhFycnLgdDpRW1uLOXPmcKl3CQRuTuLQE3CaZA79gtWrV2P16tUDfRoc0NHVL5VKoVQqoVarqTuF3++H3+/HyJEjUV1djVGjRkU9kfP5fOh0Ouh0OqphNhqNOHr0KHw+X0w0ncmIYDAYsp1PZBLDhg2LmUwivOGSVElPnDgBmUxGr71CoRhSRC3cO5q4V4wYMSIm/sICgYBKMPLy8lBdXQ2bzQaXywWxWAy1Wg2FQgGxWDykrnuigpuTOPQEXCWZA4chhpUrV+Ltt9/GpZdeiiVLlmDx4sXIzs7ul7Q/0sVPfGVdLhd0Oh2tdEbrxJHI8Pl8VIZCEu8IUe1PGUqinEd/wul00nutra0NarWaVoxj4S8cDAbx3XffYf369V2m3gFAZWUllVvs378fb775Jm688cY+vz8HDhziC44kc+AwxFBTUwODwQC5XN7lMey0v/LycnzxxRcxT/sDEBJeYrfbqRdzWlpa1E4ciQCPx0OrxaTxLpEquF1VtJO98Y+EqhA3CofDQfXZaWlpMdFn9zX1rqGhARKJBDqdrs/nwoEDh/iCI8kcOHDoFpHS/goKCnDVVVfFLO0PAFwuFyXMra2tVEubLIlxyaoFjpc2ur/Ablwk58+OVo/F7kSk1LslS5Zg+fLlXOodBw6DGBxJ5hA1gsHgoNyi5dA92trasGnTJqxbtw4fffQRTftbunQppkyZEpMqJDtEw2q1Qi6XhzRWJQIGq6tEMpB9oqMnxDgQCITo3GNxD7JT77Zu3Qq5XI6ysjKsWLGCS73jwGGIgCPJHHoNr9eblATgqaeeQnl5OY4ePYrU1FTMnDkTzzzzDEpKSugxbrcbDz74IN599114PB4sWLAAr7zySogtUF1dHe6++27s2LEDcrkct956K5566qkhOWmy0/42b94cs7Q/Nnw+HyXMFosFqamplDD3t3SByBQi+RMPxibEC/k19/e1Z1sM8ng8GAwGpKenxyRMpbvUu+XLl2P69OlJK0OJFtyYyWGogyPJHHqNf/3rX/jPf/6Df/3rXxg2bFin3ydqhfmKK67AddddhylTpsDv9+PRRx9FVVUVDh8+THWEd999NzZv3ow33ngDKpUKq1evBp/Px1dffQWgwwt4woQJyMjIwHPPPYezZ8/illtuwV133YU//vGPA/nxBhxerxfbt29HeXk5KioqEAwGsXjxYixZsqRPaX9sBAKBEE/blJSUEC/meJA2to+uxWKh/s8Gg2FIJd0RizOTydRvjX9+vz+EGAuFwph+35FS74qKimi4x1BPvRuqYybDMHjnnXcwceJElJaWDvTpcBhAcCSZQ1TQaDR48803sWTJEgQCAWqaP9ANSb2ByWRCWloadu7cidmzZ6O1tRUGgwFvv/02rr76agDA0aNHUVpaiq+//hrTp0/H1q1bsXjxYjQ2NtJKyWuvvYaHH34YJpMpKSvs8QA77W/9+vVob2/HggULepz21xOwm89IZDAhbVqttk/kJlzukWiNdwON8MY/hmGoDrivcofwnQOJREJTHGNx7btLvVu+fDlKS0uH/PfbFYbSmHnnnXfi7Nmz+MUvfoF58+YlbPGHQ3zBkWQOvYbf78cdd9wBHo+HN954g/78ueeew8svv4yKigqMHz9+4E6wh6iursbw4cNRWVmJMWPG4LPPPsOll16KlpYWqNVqelx+fj7uv/9+/PznP8fjjz+ODRs24MCBA/T3NTU1KCoqwv79+zFx4sT+/yAJjmAwiD179qC8vLzbtL++vkdfNaoOh4OSM6LFJa+RKFrcRERXjX+kca4nJCjeGnSGYVBXV4eKigou9a4PGEpjZnt7O5577jmsXbsWBw8eTFgyzyG+4ARBHHqFYDCIlJQUTJkyBa+++ioAoL6+Hs8++yzefvttPPXUUxg9evQAn+WFEQwGcf/99+Piiy/GmDFjAABNTU0QiUQhgz0ApKeno6mpiR4THltK/p8cwyEUfD4fM2bMwIwZM/DMM8/QtL8XXngBd999N+bNm4eysjIsWrQIOp0uKrLC5/Oh1Wqh1WpRUlJCG+qOHz8Oj8cT0e2gq8a77OxsjB8/Pqkt6PoTPB4ParUaarUaw4YNo4uN+vp6HD58GGq1mi422C4lXbmZlJaWxsTNhGEYHD9+HBs2bEBFRQUqKyvxox/9CDfccAPef/99ZGdnc8S4FxisY2YwGATDMJ0W0gqFAr/5zW/w3//+F48//jgeeeQRqFSqATpLDgMFjiRz6BXIdtPChQvx2muv4dlnn8Unn3wCn8+H999/H5deeukAn2HPsGrVKlRVVWHXrl0DfSpDCnw+HxMmTMCECRPw29/+FseOHUN5eTn+/e9/495778XFF1+MJUuWYMmSJcjMzIyKxPB4PKhUKqhUKkrampubcfr0aVRVVUGhUEAgEMDpdNLGu+Li4kHZeNff4PF4kMvlkMvlNPGPNP6dOHECqampEIvF8Hq9cDqd0Gq1yMzMxLhx42KyKAkGg6iqqqIV4+rqalx66aVYtWoVysrKol6EcUjOMbMrCSCRCAIIkVCYzWbo9XoAHbIfoVCINWvW4PXXX8eUKVOwYsWK/jlxDgkDTmDDISoUFxeDx+NhzZo1GDlyJMrLy2NCkMmqPp5YvXo1Nm3ahB07diAnJ4f+PCMjA16vFzabLeT45uZmZGRk0GOam5s7/Z78jkPPwePxMHLkSDz66KP49ttvceLECSxZsgTr1q1DaWkp5s+fj7/85S+oqamJ+p7g8XiQSCSQyWSQy+UQCARwuVxwOp3wer2QyWRQKpVQqVQcQY4DxGIxVCoVlEolUlNT6bV3Op0QiUSQyWSQSqV9ckEJBoP49ttv8eijj2L8+PGYP38+jh8/jkceeQTNzc3YvHkz7rjjDuj1eo4gR4lkHDOPHTsW8n2z5xZ21dhqtWLlypWQy+VYsWIF3SElf7t06VKo1Wp8/PHHcTtXDokLblbg0CuQlXl9fT1GjRqFkpIS/O1vf7vg8V2BNEO0tLTQSTNeYBgG99xzD9atW4fPP/8chYWFIb+fNGkShEIhtm/fTisGx44dQ11dHWbMmAEAmDFjBv7whz/AaDQiLS0NALBt2zYolUqMGjUqbuc+2MHj8VBQUIAHHngAP//5z0PS/p544gmMGjWKxmP3JO0vXOMqlUqRlpaGSZMmUQ00qXISWYZCoaA62Hjeh4MdDMOE6MN9Ph8MBgOGDRtG0/wCgQC10qusrOx1419XqXfPPPMMFi5cyH1/MUKyjpnvvfce3n//ffz973+nlWFSMfZ6vfjvf/+L6upqXHvttbBYLJDJZNi4cSM2b96MVatW4Uc/+hGVlKSnp2PChAnYt28fTp48ieLi4ricM4fEBNe4x6FXIKR306ZNePTRR7FmzRrccMMNIdtXkRAIBACg0zHk9Z5//nk8/PDD+OUvf4nHHnuskyYxFs4ZP/vZz/D222+joqIixOdTpVLR97v77ruxZcsWvPHGG1AqlbjnnnsAALt376afY8KECcjKysKzzz6LpqYm3HzzzbjzzjsT1s4omdFV2h+Jx2an/f3www+ora1Fenp6SOOdwWC4IGnyer0wm81obm6G1WqlXszp6emQy+VcBfICiOR2wW6c7M4VgDT+EVLt8Xig0+lw7NgxzJ49G5mZmQDOp95VVFRg8+bNYBiGS72LM5JtzCRFl4cffhinT5/Ge++9B7/fDz6fj08++QStra347LPPsGvXLmg0Ghw4cACjRo3CP/7xD0yYMAEAUFpaigULFuCZZ56hEqD//ve/eOWVV/DnP/8ZM2fOjOk5c0hscCSZQ1R4+umn8dZbb+Hzzz+nK3UCQmi/+eYbnDlz5oKVHb/fj5/+9Kd49913odVqcfjwYdrR3traCqfTiczMzD4T5a7+9vXXX8dtt90G4Lwx/jvvvBNijM/eFqytrcXdd9+Nzz//HDKZDLfeeiuefvppbru+H8BO+9u6dSuUSiXS0tLQ1NQEi8WC6667Do899hgMBkPUGle2L7LZbIZIJKIVZpVKxRHmcwgEAiEexsQ/ui++yQzDUA359ddfjyNHjiA/Px9KpRKnTp2CQqFAWVkZrr76ai71rh+QSGMmoSoXev6CwSCefPJJnDlzBv/617/oz6dPn47a2losW7YMzz//PFJSUnDllVeivr4eW7ZsoVXy3//+93jjjTewY8cO5ObmAuiwtZs5cyZ2796NkSNH9vicOSQ/uBGGQ69x+vRpfPbZZygpKYFer+9EXsl/OxwOPPvss7jjjjuQkZGBrVu3oqioiB5H/u7AgQMwmUyYPHkyzpw5A7vdTknyxo0bccstt6C9vb3PW6g9WQ9KJBK8/PLLePnll7s8Jj8/H1u2bOnTuXCIDhKJhFYoVSoVbDYbhEIh2tvbodPpIJVKcfLkyU7d9L1BSkoKMjIykJGRQWUBRqMRBw4cAI/Ho0RwKAWJEJBAEbKAEIvFSE9Px0UXXRQTKz8ej4dgMIh9+/Zh+PDhOHnyJGw2G/x+P5xOJ4qLi5Genh6z6GkO3SORxsxwfTGAiM8fn8/HwYMHUVpaCq/XC6FQCB6Ph+uvvx6PPfYYpk6dSncdfvzjH2PNmjWoqamhJPmWW27B448/jsOHD1OSnJ+fj2AwCIfD0afPwCH5MLRGeA4xgVQqxZgxY7B48WIA5wescFx66aXYs2cPdu/ejVtvvZUOOOHYu3cvjEYjrr32WmRkZOCTTz4B0EGyv/jiC0ycOBEymYxKNoCOKha3CTK0cOzYMaSlpdEK1htvvIGWlhbU1taipaUFr7/+OoLBIG699VYUFxfjZz/7GT7++GN4PJ6o31MgEMBgMGD06NGYPXs21SlWVVVh586dqKqqor7MgxVerxdnzpzB/v37sXPnTpw+fRpyuRzTpk3DxRdfjOHDh/epws4wDCwWC/7zn//g6quvRkFBAZ599lmMGjUKu3btgtlsRl1dHUwmE37xi1+gqqoKF198MSZOnMiNAUMILS0tuO6663DgwAHw+fyIBJk8hyqVClVVVRCJRHR+uvjii5GbmwuLxUKPX7BgAXw+H77//nt6XF5eHoYPH45PP/2Ujh3Hjh3D9OnTuV2kIQhObsFhQMEwDH784x+jrq4OGzduxLhx4/DAAw/gxz/+MU6ePIm5c+fSZq5IiUfJlvLHIXoEAgHs378fkyZN6raCS9L+PvjgA1RUVKC9vR1XXHEFlixZErO0v3AdrdfrDfFiTnYZgNvtpp/NZrNRWUusglUipd6NHTsWy5cv71HqndvtxuHDh3HRRRf1+Vw4JC6CwSB4PB69FwwGAx588EFcfvnleOuttzB//nxceeWVdB4g//7Xv/6FNWvWwGg0Ajhfhb788suRn5+PF198kY4Dy5Ytg1AoxIsvvoisrCwAHW4eFRUV2Lt3LzIyMvD555/j/vvvx/79+4fc7tFQB0eSOfQaDMOAYZg+DRZkMDt06BDuvfdeTJo0iUoznE4n3nnnHWzcuBFlZWVoamqiXdHffPMNNm/eDI1Gg5tuuon+PNJr9/TnHAYv+iPtj2EY2O12SiodDgdNnDMYDEmT1OVwOOhnaG9vh0ajoZ8hFk1xXaXeLV26FCtWrOBS7zgA6LhPgsFgJzmNxWLB2LFj0dbWhmAwiIULF+Kxxx6jDXds/PDDD5g0aRK+/PJLTJ8+nTaWP/bYY/jyyy/x3HPPYcqUKQCAN998E2vWrMF//vMfXHbZZQA6bOHa2tpQUFAAoCMw66uvvsJ1110X18/OIfGQ3OUODgMC9so+WrCb+xwOB+0YTk9Px86dOwEAGzZswIgRI5CWlga73Y7//e9/+NnPfoarrroKZ86cwXPPPYc///nPuOGGGzqdH9BRURQIBPT/uQl46CE87e/gwYMoLy/H888/H7O0Px6PB4VCAYVCgeLiYko2z5w5gyNHjsScbMYKhNw3NzfDaDTC6XRCp9MhJycnZuSeS73j0FvweDxKkLdv347du3dj0aJFyMrKQn5+Pvbu3YvvvvsuIjkmKC0txYwZM/Dyyy9jypQp9PUWLFiAjz/+GPv27aMk+aqrrkJ5eXlIwYWkdxLk5ORwBHmIgts34DAgIFXoAwcOQK1WY9asWQCAiRMnwuVyYceOHSEr9w8//BCvvPIKHnvsMaxfvx7fffcdVq5ciaeeegqtra0AOqqGr776Kux2O4COBiwyAT/44IM4fPgwgPPNKMmoI3366afB4/Fw//3305+53W6sWrUKOp2OGuKHm/fX1dVh0aJF1C/4l7/8Jfx+fz+f/cCCz+dj4sSJ+N3vfofKykocPHgQs2fPxr/+9S8UFxdj0aJFeO2119DY2NgnratMJkNhYSGmTZuGWbNmwWAwoLm5Gbt27cK3336L06dPw+l0xvCT9RzEw/j48eP46quvsHfvXjidThQVFWHu3LmYOHEisrOz+0SQg8EgfvjhB/zud7/D1KlTMX36dOzZswerVq1CY2Mjtm/fjtWrVyMnJ2fIEuSh8hyTqnAkBAKBLsfgV155BTk5Objppptw6NAhVFVVQaPR4Ouvv0ZGRga2bdvW7fsKhUI8/PDD2L59e8ix06dPh9vtxvfffw+v1wuggxBXVFRg/PjxXb7eUL1POXByCw4DiCNHjuDGG2/E1KlT8dprrwEAGhoaUFBQgD/96U944IEHUF1djcLCQixduhRSqRTPPvssTXz6/PPPcffdd+OFF17AFVdcgY8++ghXXnklfvWrX6G+vh4GgwF33303JBIJcnJy8N133+Giiy6icaN/+MMfUFtbi9///vcRZRuJhr179+Laa6+FUqnEvHnz8OKLLwLo8CndvHkz3njjDahUKqxevRp8Ph9fffUVgPM+pRkZGXjuuedw9uxZ3HLLLbjrrrs4b2d0TOSnT5+mkoxvvvkGkydPpvHYBQUFMZkkvV4vlTNYrVbIZDKq842nF3MwGERLSwt972AwSN9Xq9XGxCUiGAziu+++w/r167Fx40Y0NTVhwYIFWL58ORYvXsxZ57Ew2J/jruQS5HdA96SzoaEB//d//4elS5fiF7/4BQCEOB795Cc/wcGDB/Hll19eMKnxrrvuwunTp/HWW29Rx5v9+/ejtLS0kxd/pJ4XDhzAcOAwQGhvb2fefPNNZtu2bfRnDQ0NzPTp05n09HRm9OjRDMMwjMViYSZPnsw8+eSTjN/vp8fu3buXUalUzM6dOxmGYZh77rmH4fF4zIoVK5i//OUvzKpVq5jFixczPB6P0el0zMcff0z/1m63M9dddx2zYMECxuv19tMnjh7t7e3M8OHDmW3btjFz5sxh7rvvPoZhGMZmszFCoZBZu3YtPfbIkSMMAObrr79mGIZhtmzZwvD5fKapqYke8+qrrzJKpZLxeDz9+jkSHcFgkGloaGBefvll5tJLL2WEQiEzfvx45vHHH2f27dvH2O12xuFw9Pkfm83GVFdXM7t372Y2bNjAfPzxx8yBAweYxsbGmLxHW1sbc/r0aebbb79lNm/ezGzZsoX57rvvmLq6Oqa9vT0mn6G1tZXZunUr89Of/pTJzs5mVCoVc8MNNzBr165l7Hb7QH+VCYmh9hx/++23zF133cVceumlIT/3eDzMm2++ySxYsIC55JJLmFdeeYWpq6tjGIZh3n33XWbUqFHMRx99xASDQaa6ujpk3N++fTsjFAqZ6upqJhgMRnxf8nOj0cgsWrSIueGGG5j6+vo4fUoOgxncsonDgEEul+OWW27B/PnzAXSs5LOyspCeng6j0Yjrr7+e/lytVsNut9PqBMMw2Lt3LwKBAGbPng0A+OSTT3Dttdfi3//+N+6991789a9/xdq1a1FYWAi9Xo8VK1YgLS0N+/fvx+HDh9HQ0IB58+bRakQi28qtWrUKixYtoteKYN++ffD5fCE/HzlyJPLy8vD1118DAL7++muMHTs2xDt4wYIFaGtrw6FDh/rnAyQJeDwesrKy8LOf/Qzbtm3D2bNnce+992Lfvn2YOXMmJk+ejCeffBIHDhzochu5JxAKhcjMzMT48eMxd+5cjBgxAh6PB/v378eXX36Jo0ePwmq19uo9/H4/mpqa8MMPP2Dnzp04duwYhEIhJkyYgNmzZ6O0tPSC6XcXgtfrxbZt27Bq1SoMGzYMN998M7xeL/7+97+jqakJ//vf/3D11VdzsdBdYCg8x99++y1uvvlmqNVqXHLJJTCZTLj//vvp2FpXV4cf//jH+POf/4wpU6Zg1qxZ+Mc//oGf/vSnAIBp06Zh0qRJWLp0KSZPnoxf/vKXGDt2LFavXo329nZccsklUKvVWLt2La1IsyV3AKjThcFgwEsvvYTRo0fTBEAOHHoDrnGPw4CCYTlOkMn79ddfx//+9z9cc801AAC9Xo+8vDzs3r0bra2tUKlU2LZtG9566y2UlZUBALZt2wan00m3MZlz7htnz55FbW0t3UL/+uuvMXr0aPzrX/+CQCBAfn4+jh8/jhEjRiRsOMG7776L/fv3Y+/evZ1+19TUBJFIBLVaHfLz9PR0NDU10WPCwzXI/5NjOHQGj8eDTqfDypUrsXLlypC0vwULFkCv19N4bHZzUG/BTqoj0ojm5mZUVlZeMN7Z6/XCZDJRCUdqairS09NRWFgYMwmH0+nEp59+ig0bNmDLli2QyWQoKyvDu+++y6Xe9QJD4TnesGEDbrjhBpSWlmLr1q2YMGFCJ1kDn8/H5MmT8eKLL9LPO3r0aFx33XU4cuQISktL8ac//Yk2ZFutVjQ2NuIvf/kLhg8fjvvuuw833ngjXn31VepVfvvtt+O3v/1tyPNB7v3CwkKsWbOGk/twiArc6MZhQBFp4NJoNFi9enXIzx566CFcf/31mDx5MmbNmoWNGzdi/vz5+NWvfgWgo7Fv2LBhNOyBkO+Kigqkp6ejuLgYADBjxgx4vV7s3r0bhw8fxqZNm/CnP/0JJ0+exO9//3v87Gc/63IwJa959uxZ2Gw2lJaWxvJSRER9fT3uu+8+bNu2LaGcEYYilEolbrjhBtxwww1wOp346KOPsG7dOlx99dVITU3F4sWLsXTpUlx88cVRE0c+nw+dTgedTkeb7IxGI44ePQqfzweDwQCNRgO/3w+LxYKWlhYoFAqkpaVhxIgRMavgtrW14aOPPkJFRQW2bduGtLQ0LF26FJs3b8b06dMTdkGZqBjszzEZG4uLizFr1iyMHTsWM2bMiHhsTk4OfvKTn6ClpQWPP/44/ve//6GtrQ0AsHbtWjz++ONIS0vDFVdcQf+mubkZ//nPf9De3g4AePLJJzFu3DgcPHgQDz74YKfKfDg4rTGHaMGRZA4JCSbM07ikpARff/013nnnHXzzzTd4/vnncfXVV9Ngg927d+Oqq66iqX7kb99//30sXLgQGo2GvmZVVRUqKysxceJEPPLIIxg1ahSefvpp/PWvf8V1110HnU7X5fm0tLTgJz/5CeRyOZ555pkuUwRjhX379sFoNIaEJgQCAXzxxRf429/+ho8//hherxc2my2kCtXc3IyMjAwAQEZGBr799tuQ1yVd8+QYDr2DVCqlwRcejwefffYZysvLceutt4JhGCxatAhlZWWYO3cuxGJxVO/B4/Gg0Wig0WiQk5OD+vp6GI1GWjWUyWQYNmwYsrOzL9jAdCEwDAOr1YrNmzdjw4YN+Oyzz1BUVIRly5bh17/+NSZOnMgRjT5gsD/HZLwtLi7GmDFjsGvXLvq7tWvX4vXXX4dQKMRrr72GzMxMBINB/OpXv8Lx48fx5JNPYtGiRXj88cdRXl6Ohx56CACwZcsWZGVlobq6Gm+//TbS0tJw9913A+hYsN5+++39/0E5DDlwJJlDQiK8msswDMRiMW677TYaS0zw7bff4vjx4xg9ejTd2iOEdt++fXjyySdDjv/qq68gFovxy1/+EqNHjwbQof9jGAaVlZWYO3duxPNhGAYPPvggfD4fXn31VahUKgDx7Yq+9NJLUVlZGfKz22+/HSNHjsTDDz+M3NxcCIVCbN++HStWrADQEaFaV1dHKzkzZszAH/7wBxiNRurisW3bNiiVSowaNSou5z2UIBaLsXDhQixcuBCvvvoqTfu79957o077YxgGDoeDehg7HA5otVoUFRUhLS2NOmU0NTWhurqaejGnpaX1mJQz51LvNm3ahIqKCpp6t2zZMvzpT3+6YOodh54jGZ5jJgYhURKJBBMnTsS6deswbtw4nDlzBgaDAZdffjluvfVWet5ffvkl/vOf/2D79u2YNWsWfD4fbDYbTp48iePHj2PcuHHYs2cPPv74/7d3/1FZ1vcfx18gagjye3LfLN3QVISFeg6TYR1TwOOPkenJUmLN0txaK0fLVmm4P8xMobaZU1yw0TmlOyVtpisdyVaaHASHOK1DlGAZAQ0SYnBP4P58//DLlfcllmsICs/HPx6v63NfXB/9cN2v+7o/1+e9Ty0tLbr55pv1wAMPXHADw1zCahnA/4KQjKtC10XQflE0xmjKlCk6dOiQnE6nJFnVlY4dOya3220tGefl5aXOzk6VlZVpxIgRio+Pt47/ySefKDg42FpmyH4nW5K2bt2qwsJC/fnPf1ZgYKDVputNxV5CtScMHz7cmkLSxc/PT6Ghodb2ZcuW6ec//7lCQkIUEBCgBx54QAkJCfre974n6Vwp1ujoaN15553auHGjamtr9fjjj+unP/3p177Lie75+Pho+vTpmj59ujZt2qTi4mLl5+drzZo1Wr58uWbOnKl58+Z1W+2vs7NTTU1NamhoUH19vVwul8LCwvTtb39bYWFhHneLhwwZIn9/f40ePVptbW1WYK6oqFBgYKC1vNvw4cM9zs+cV/Vu9+7dOnz4sKZMmaL58+crJyeHqneXydXwe9x17Tp79uzXWie763oYGxurUaNGqampSUeOHJHT6bxgiklwcLDa29utaTulpaVqaWnRv//9b+Xn5ys2NlYrVqzQgw8++KV3yRmruOx6YwkNoC+8//775sYbbzQzZ840hYWFxhhjjh49apKSksxjjz1mtWttbTX33nuvSUxM9FhqyJgvlhI6duyYGTdunHniiSeMMca0t7dbx6urq+uN7ljOXzrKGGPa2trMfffdZ4KDg82wYcPMggULzCeffOLxmurqajNnzhzj6+trwsLCzEMPPWT1AZdfZ2en+cc//mEef/xxExMTY4YMGWJmzZplnn32WZObm2sWLVpkwsLCzOrVq01xcbGpqqoyzc3N//WybI2NjaaiosIcOHDAzJkzx1x33XXm/vvvN9u3bze//OUvzeTJk42Pj4+ZMWOG2bRpk/noo48uuowWLq++/D3u+j+3/9/ffvvtJj09/UuP2dHRccF18nwtLS1mxYoVZurUqda2zs7OC35WYmKiue6668y4ceNMaGio2blzpykqKjL19fUXnGtnZ+cl9w3oSRQTQb924sQJZWZmqrS0VAUFBfrTn/6krVu3KisrS7NmzZJ0bnH5lStXKj4+XuvXr+92+sSvf/1r/epXv1JZWZlCQkKsgiQTJkzQmDFjtGDBAtXW1uq2227TuHHjPO5E28tjS+eqa/XHB3jw1Vwul55//nk999xzKi8vV0dHh77xjW9o7ty5WrlyZY/czXW73Tpw4ICeeeYZHTp0SK2trfLz89NNN92k9PR0JSUlMcd4gGtsbLRKL7vdbjU2Nio2NlZbtmzR/Pnzv3IaWWtrq3x8fLq965yXl6ennnpKv//97zV16lRre2VlpT766CMlJiaqpqZGb775pj777DMtXLjwqijohIGHqyT6tZiYGOXl5en48eNyOp0aOXKkpkyZ4jHVoqysTC0tLZo5c2a3x6itrbWWkAsJCVFnZ6cGDx4sl8ulkydPqqSkRNXV1Tp06JDi4uJUWFgoLy8v1dfXS/Isjy2dWzngwQcfVE5OzuXtPK4oBw8e1B133KERI0Zo/fr1mjZtmgoLC1VZWalHHnlE77//viZNmqTk5GT95je/UVVV1X+1brfb7dbhw4e1evVqTZw4UQsXLtTw4cO1bds2nT59Wnl5eQoKCtLChQsVGRmp9PR0ffjhh5exx7hSPfnkk5o4caKysrLU3t4ub29v7d69W9dcc42SkpIuGpBdLpe2bNmihIQE+fv7X/AgYdd4jY2NVUREhAoKCvTpp59q1apVioqK0vjx47V582ZJUkREhFJTU3XfffdZyx8CV5w+vY8NXGZut/tLvxpsb28399xzj4mJiTFtbW3dtqmurjYxMTHmt7/9rTHGWO3y8vLMsGHDrCpZLpfLpKSkmOTkZJOZmWkSExNNRESEycrKss6h689FixaZVatWGWMMXyUOEK+88opZtWqVKS0t7XaKQ1e1v82bN1vV/iZNmvSl1f7Or3p37bXXmsDAQJOammpefvll8/nnn3d7Hi6Xy7z22mvmnnvuMdXV1Ze727gCNTc3m9zcXDNy5EiTmppqOjo6THp6upk9e/aXvm7v3r3mlltuMWvXrjXl5eUXbdfU1GTuvPNO4+XlZQYNGmSmTp1qcnJyTGtr6wVtme6DKxnTLTCgdHeHpKGhQSdOnNC0adMuut/hcKi8vFzR0dHWgy0zZsxQaGiocnNzrZUu7r33Xr300kt6+OGHddddd2nHjh3atm2bdu3apaioKOuYjz32mFpbW5WZmfm1HpJB/2aMUUNDg1599VW98soreuONNxQZGal58+YpJSVFDQ0N2rVrl/7yl7/IGKN58+ZpwYIFSk5OZhoPLllJSYluvfVWxcbGqrCwUHl5ebr99tsveie566HoS/G3v/1NHR0dF0ztuZyrAQE9jZGKAaW7i3NoaKhV2vr8/V2fHz/88EM5nU75+/vLGKMhQ4bI7Xbr4MGDSklJUUBAgKRzF/+//vWv+vGPf6xf/OIXcjqdmjt3rtrb21VQUGC1kc6V5C4pKSEgo1teXl4KCwvT0qVLtWfPHtXV1SkjI0MffPCBZsyYobvuuku+vr7asWOHampqlJubq5SUFAIyLpnb7dZ3v/td/f3vf1dwcLBcLpdqamoknbsOdjf94b8pIjNjxgzNnDnTOlbX9ZSAjKsJoxW4iK55xL6+vrr++utVXV1tbcvPz1dgYKCmTJlibSsvL9epU6e0aNEi683E29tbdXV1mjRpkiSpvb3datu1NF1/nov38ccf6wc/+IFCQ0Otf8fS0lJrvzFGa9askdPplK+vr5KTk1VZWelxjMbGRqWlpSkgIEBBQUFatmyZWlpaersrfSowMFB33HGHdu7cqZMnT+rUqVPasmWLkpKS/udCIlcbxlTP6AqrkZGRCgoKUnBwsDIzM7Vq1SqP/T31s1iuDVcjQjLwFaKionT8+HGPMJuVlaXo6Gh985vftLbl5+dr/PjxGj9+vLXt7bffliSrIEDXeqalpaWaOHFiv/7q8bPPPtMNN9ygwYMH6/XXX9c777yjp59+WsHBwVabjRs3atOmTcrOzlZxcbH8/Pw0a9YsuVwuq01aWppOnDihgoIC7dmzR2+99ZZ+9KMf9UWXrgijRo2ypvcMNIypnnf27Flt375dL7/8sjZs2KBt27Zp6dKlqqqq6utTA/pen82GBq4SZ8+eNTk5OaasrMza9tprr5n9+/d7PHQ3evRos3r1auvvbW1tZt68eSYlJcU6jjHG/POf/zQOh8Pk5+f3Tgf6yCOPPGJuvPHGi+53u93G4XCYzMxMa9uZM2fM0KFDzY4dO4wxxrzzzjtGkikpKbHavP7668bLy8t8/PHHl+/kcUViTPW8ffv2mTFjxpijR48aY4x54403zE033WQmTJhg/vjHPxpjeLgYA1f/vIUF9KDBgwdr6dKlHg/ezZkzR4mJidZd4JqaGjU1NWn27NlWm5qaGh06dEg//OEPJX0xfSMnJ0fXXnutVRK7v3r11VcVFxen2267TSNGjNDkyZP13HPPWfurqqpUW1ur5ORka1tgYKDi4+NVVFQkSSoqKlJQUJDi4uKsNsnJyfL29lZxcXHvdQZXBMZUzzH/P0f47bffVkhIiPXNVlJSknbu3Klp06apublZEvOIMXAx8oFL4OXl5fFQlLEtChMREaF//etfHgvnv/nmm2poaNDcuXMlnVsv+fTp0/rDH/6g5cuXa9y4cb1z8n3k5MmT2rp1q8aOHat9+/bpJz/5iVasWKHnn39e0rn1pyUpPDzc43Xh4eHWvtra2guKDPj4+CgkJMRqg4GDMdVzvLy81NbWpp07d2rRokWSzoVhY4zCwsKUnZ2t5cuX9/FZAn3Lp69PALga2R9C6ZpbfP4dl+nTpys7O1t+fn6SpE8//VRZWVmKjIwcEPMf3W634uLi9OSTT0qSJk+erOPHjys7O1tLlizp47PD1Ygx1bPOnDmjkSNH6vvf/7617fxrW39+ZgK4FIx+oAd090ZiD8Nr1qzRBx98oKefflpS/17VQpKcTqeio6M9tk2YMMGq8uZwOCRJdXV1Hm3q6uqsfQ6Hw6pc2KWjo0ONjY1WGwwcjKme5XQ6tXfvXo+pZOcjIGOg4zcAuEzOn5Jx4MAB1dfXa+3atUpKSpLU/9+AbrjhBlVUVHhse++99/Stb31L0rkPEQ6HQ/v377f2Nzc3q7i42FoNJCEhQWfOnNGRI0esNoWFhXK73R6lxTEwMKYuj/7+gR342vr2uUFgYDh79uxFywT3V4cPHzY+Pj5m3bp1prKy0rz44otm2LBh5oUXXrDaPPXUUyYoKMjs2rXLHDt2zNxyyy0mMjLSo0T47NmzzeTJk01xcbE5ePCgGTt2rElNTe2LLqGPMaYA9CZCMoDLZvfu3eY73/mOGTp0qImKijK/+93vPPa73W6TkZFhwsPDzdChQ01SUpKpqKjwaNPQ0GBSU1ONv7+/CQgIMHffffeA+8CBLzCmAPQWL2Nsj+kDAAAAA1z/nhQJAAAAfA2EZAAAAMCGkAwAAADYEJIBAAAAG0IyAAAAYENIBoBudHZ2KiMjQ5GRkfL19dWYMWO0du1ajyIxxhitWbNGTqdTvr6+Sk5OVmVlpcdxGhsblZaWpoCAAAUFBWnZsmVqaWnp7e5Y+mu/AKCnEZIBoBsbNmzQ1q1btXnzZr377rvasGGDNm7cqGeffdZqs3HjRm3atEnZ2dkqLi6Wn5+fZs2aJZfLZbVJS0vTiRMnVFBQoD179uitt97yKFfe2/prvwCgp7FOMgB0IyUlReHh4crNzbW23XrrrfL19dULL7wgY4wiIiL00EMPaeXKlZKkpqYmhYeHKy8vT4sXL9a7776r6OholZSUKC4uTpK0d+9ezZ07V6dPn1ZERAT9AoArFHeSAaAbU6dO1f79+/Xee+9JksrLy3Xw4EHNmTNHklRVVaXa2lolJydbrwkMDFR8fLyKiookSUVFRQoKCrKCpCQlJyfL29tbxcXFvdibL/TXfgFAT/Pp6xMAgCvRo48+qubmZkVFRWnQoEHq7OzUunXrlJaWJkmqra2VJIWHh3u8Ljw83NpXW1urESNGeOz38fFRSEiI1aa39dd+AUBPIyQDQDdeeuklvfjii9q+fbtiYmJ09OhRpaenKyIiQkuWLOnr0/va+mu/AKCnEZIBoBsPP/ywHn30US1evFiSdP311+vUqVNav369lixZIofDIUmqq6uT0+m0XldXV6dJkyZJkhwOh+rr6z2O29HRocbGRuv1va2/9gsAehpzkgGgG62trfL29rxEDho0SG63W5IUGRkph8Oh/fv3W/ubm5tVXFyshIQESVJCQoLOnDmjI0eOWG0KCwvldrsVHx/fC724UH/tFwD0NO4kA0A3br75Zq1bt06jRo1STEyMysrK9Mwzz2jp0qWSJC8vL6Wnp+uJJ57Q2LFjFRkZqYyMDEVERGj+/PmSpAkTJmj27Nlavny5srOz1d7ervvvv1+LFy/usxUg+mu/AKDHGQDABZqbm83PfvYzM2rUKHPNNdeY0aNHm9WrV5v//Oc/Vhu3220yMjJMeHi4GTp0qElKSjIVFRUex2loaDCpqanG39/fBAQEmLvvvtt8/vnnvd0dS3/tFwD0NNZJBgAAAGyYkwwAAADYEJIBAAAAG0IyAAAAYENIBgAAAGwIyQAAAIANIRkAAACwISQDAAAANoRkAAAAwIaQDAAAANgQkgEAAAAbQjIAAABgQ0gGAAAAbAjJAAAAgA0hGQAAALAhJAMAAAA2hGQAAADAhpAMAAAA2BCSAQAAABtCMgAAAGBDSAYAAABsCMkAAACADSEZAAAAsCEkAwAAADaEZAAAAMCGkAwAAADYEJIBAAAAG0IyAAAAYENIBgAAAGwIyQAAAIANIRkAAACwISQDAAAANoRkAAAAwIaQDAAAANgQkgEAAAAbQjIAAABgQ0gGAAAAbAjJAAAAgA0hGQAAALAhJAMAAAA2hGQAAADAhpAMAAAA2BCSAQAAABtCMgAAAGBDSAYAAABsCMkAAACADSEZAAAAsCEkAwAAADaEZAAAAMCGkAwAAADYEJIBAAAAG0IyAAAAYENIBgAAAGwIyQAAAIANIRkAAACwISQDAAAANoRkAAAAwIaQDAAAANgQkgEAAAAbQjIAAABgQ0gGAAAAbAjJAAAAgA0hGQAAALAhJAMAAAA2hGQAAADAhpAMAAAA2BCSAQAAABtCMgAAAGBDSAYAAABsCMkAAACADSEZAAAAsCEkAwAAADaEZAAAAMCGkAwAAADYEJIBAAAAG0IyAAAAYENIBgAAAGwIyQAAAIANIRkAAACwISQDAAAANoRkAAAAwIaQDAAAANgQkgEAAAAbQjIAAABgQ0gGAAAAbAjJAAAAgA0hGQAAALAhJAMAAAA2hGQAAADAhpAMAAAA2BCSAQAAABtCMgAAAGDzf/2oM18Fy2ySAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test_flight.plots.trajectory_3d()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The flight trajectory above represents the nominal trajectory of the rocket, without any uncertainties.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 2: Stochastic Objects" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For each RocketPy object, we will create a ``Stochastic`` counterpart that extends the initial model, allowing us to define the uncertainties of each input parameter.\n", + "\n", + "Please refer to the [Working with Stochastic Objects](https://docs.rocketpy.org/en/latest/user/stochastic.html#working-with-stochastic-objects) page on RocketPy`s documentation for a more detailed explanation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Stochastic Environment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Starting with the `Environment` object, we will create a `StochasticEnvironment` to specify its uncertainties.\n", + "\n", + "In this first example, we will specify the ensemble member and wind velocities factor.\n", + "\n", + "Since the ensemble member is a discrete value, **only list type inputs are permitted**. The list will contain the ensemble numbers to be randomly selected during the Monte Carlo simulation. This means that in each iteration, a different ensemble member will be chosen.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reporting the attributes of the `StochasticEnvironment` object:\n", + "\n", + "Constant Attributes:\n", + "\tdatum SIRGAS2000\n", + "\televation 113\n", + "\tgravity Function from R1 to R1 : (height (m)) → (gravity (m/s²))\n", + "\tlatitude 39.3897\n", + "\tlongitude -8.288964\n", + "\ttimezone UTC\n", + "\n", + "Stochastic Attributes:\n", + "\twind_velocity_x_factor 1.00000 ± 0.00000 (normal)\n", + "\twind_velocity_y_factor 1.00000 ± 0.00000 (normal)\n", + "\n", + "Stochastic Attributes with choice of values:\n", + "\tensemble_member [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]\n" + ] + } + ], + "source": [ + "stochastic_env = StochasticEnvironment(\n", + " environment=env,\n", + " ensemble_member=list(range(env.num_ensemble_members)),\n", + ")\n", + "\n", + "stochastic_env.visualize_attributes()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### NOTE\n", + "\n", + "Always check the `.visualize_attributes()` method of each stochastic object to verify the uncertainties were correctly set.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just to illustrate the potential of this technique, let's randomly generate 5 instances of the environment using the `create_object` method.\n", + "\n", + "For each instance, we will calculate the wind speed at 1km altitude and store the results in a list." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[-2.5308816597640797, -2.5308816597640797, -2.7232690868936604, -6.747443480196677, -7.639685780854208]\n" + ] + } + ], + "source": [ + "wind_speed_at_1000m = []\n", + "for i in range(5):\n", + " rnd_env = stochastic_env.create_object()\n", + " wind_speed_at_1000m.append(rnd_env.wind_velocity_x(1000))\n", + "\n", + "print(wind_speed_at_1000m)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see, the wind speed varies between ensemble members.\n", + "This demonstrates how the Monte Carlo simulation can capture the variability in wind conditions due to different ensemble members.\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Motor\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now create a `StochasticSolidMotor` object to define the uncertainties associated with the motor.\n", + "In this example, we will apply more complex uncertainties to the motor parameters.\n", + "\n", + "The `StochasticSolidMotor` also has one special parameter which is the `total_impulse`. It lets us alter the total impulse of the motor while maintaining the thrust curve shape. This is particularly useful for motor uncertainties." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reporting the attributes of the `StochasticSolidMotor` object:\n", + "\n", + "Constant Attributes:\n", + "\tburn_out_time 3.9\n", + "\tcenter_of_dry_mass_position 0.317\n", + "\tcoordinate_system_orientation nozzle_to_combustion_chamber\n", + "\tdry_I_11 0.125\n", + "\tdry_I_12 0\n", + "\tdry_I_13 0\n", + "\tdry_I_22 0.125\n", + "\tdry_I_23 0\n", + "\tdry_I_33 0.002\n", + "\tdry_mass 1.815\n", + "\tgrain_number 5\n", + "\tinterpolate linear\n", + "\tthrust_source [[0, 0], [0.055, 100.0], [0.092, 1500.0], [0.1, 2000.0], [0.15, 2200.0], [0.2, 1800.0], [0.5, 1950.0], [1.0, 2034.0], [1.5, 2000.0], [2.0, 1900.0], [2.5, 1760.0], [2.9, 1700.0], [3.0, 1650.0], [3.3, 530.0], [3.4, 350.0], [3.9, 0.0]]\n", + "\n", + "Stochastic Attributes:\n", + "\tburn_start_time 0.00000 ± 0.10000 (binomial)\n", + "\tgrain_density 1815.00000 ± 50.00000 (normal)\n", + "\tgrain_initial_height 0.12000 ± 0.00100 (normal)\n", + "\tgrain_initial_inner_radius 0.01500 ± 0.00038 (normal)\n", + "\tgrain_outer_radius 0.03300 ± 0.00038 (normal)\n", + "\tgrain_separation 0.00500 ± 0.00100 (normal)\n", + "\tgrains_center_of_mass_position 0.39700 ± 0.00100 (normal)\n", + "\tnozzle_position 0.00000 ± 0.00100 (normal)\n", + "\tnozzle_radius 0.03300 ± 0.00050 (normal)\n", + "\tthroat_radius 0.01100 ± 0.00050 (normal)\n", + "\ttotal_impulse 6500.00000 ± 1000.00000 (normal)\n" + ] + } + ], + "source": [ + "stochastic_motor = StochasticSolidMotor(\n", + " solid_motor=motor,\n", + " burn_start_time=(0, 0.1, \"binomial\"),\n", + " grains_center_of_mass_position=0.001,\n", + " grain_density=50,\n", + " grain_separation=1 / 1000,\n", + " grain_initial_height=1 / 1000,\n", + " grain_initial_inner_radius=0.375 / 1000,\n", + " grain_outer_radius=0.375 / 1000,\n", + " total_impulse=(6500, 1000),\n", + " throat_radius=0.5 / 1000,\n", + " nozzle_radius=0.5 / 1000,\n", + " nozzle_position=0.001,\n", + ")\n", + "stochastic_motor.visualize_attributes()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### NOTE\n", + "\n", + "Pay special attention to how different input types are interpreted in the `StochasticSolidMotor` object by checking the printed object:\n", + "\n", + "\n", + "\n", + "\n", + "- ``burn_start_time`` was given as a tuple of 3 items, specifying the nominal value, the standard deviation and the distribution type\n", + "\n", + "- ``total_impulse`` was given as a tuple of 2 numbers, so the distribution type was set to the default: `normal`\n", + "\n", + "- All other values set for the other parameters in the constructor are simple values, which means they are interpreted as standard deviation and the nominal value is taken from the ``motor``\n", + "\n", + "- The remaining parameters that are printed are just the nominal values from the ``motor``. In the ``Stochastic`` object they are saved as a list of one item\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once again, we can illustrate the power of stochastic modeling by generating multiple instances of the `SolidMotor` class using the `StochasticSolidMotor` object.\n", + "For each instance, we will calculate the total impulse and store the results in a list. This will show how the uncertainties in the motor parameters affect the total impulse over multiple iterations.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[6464.796318075934, 5619.732716524346, 6420.383317519765, 7386.171388527808, 6123.1247626708955]\n" + ] + } + ], + "source": [ + "total_impulse = []\n", + "for i in range(5):\n", + " rnd_motor = stochastic_motor.create_object()\n", + " total_impulse.append(rnd_motor.total_impulse)\n", + "\n", + "print(total_impulse)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Rocket\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now create a `StochasticRocket` object to define the uncertainties associated with the rocket." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reporting the attributes of the `StochasticRocket` object:\n", + "\n", + "Constant Attributes:\n", + "\tI_12_without_motor 0\n", + "\tI_13_without_motor 0\n", + "\tI_23_without_motor 0\n", + "\tcoordinate_system_orientation tail_to_nose\n", + "\tpower_off_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power Off)\n", + "\tpower_on_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power On)\n", + "\n", + "Stochastic Attributes:\n", + "\tI_11_without_motor 6.32100 ± 0.00000 (normal)\n", + "\tI_22_without_motor 6.32100 ± 0.01000 (normal)\n", + "\tI_33_without_motor 0.03400 ± 0.01000 (normal)\n", + "\tcenter_of_mass_without_motor 0.00000 ± 0.00000 (normal)\n", + "\tmass 15.42600 ± 0.50000 (normal)\n", + "\tpower_off_drag_factor 1.00000 ± 0.00000 (normal)\n", + "\tpower_on_drag_factor 1.00000 ± 0.00000 (normal)\n", + "\tradius 0.06350 ± 0.00001 (normal)\n" + ] + } + ], + "source": [ + "stochastic_rocket = StochasticRocket(\n", + " rocket=rocket,\n", + " radius=0.0127 / 2000,\n", + " mass=(15.426, 0.5, \"normal\"),\n", + " inertia_11=(6.321, 0),\n", + " inertia_22=0.01,\n", + " inertia_33=0.01,\n", + " center_of_mass_without_motor=0,\n", + ")\n", + "stochastic_rocket.visualize_attributes()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `StochasticRocket` still needs to have its aerodynamic surfaces and parachutes added. \n", + "\n", + "We can also create stochastic models for each aerodynamic surface, although this is not mandatory." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "stochastic_nose_cone = StochasticNoseCone(\n", + " nosecone=nose_cone,\n", + " length=0.001,\n", + ")\n", + "\n", + "stochastic_fin_set = StochasticTrapezoidalFins(\n", + " trapezoidal_fins=fin_set,\n", + " root_chord=0.0005,\n", + " tip_chord=0.0005,\n", + " span=0.0005,\n", + ")\n", + "\n", + "stochastic_tail = StochasticTail(\n", + " tail=tail,\n", + " top_radius=0.001,\n", + " bottom_radius=0.001,\n", + " length=0.001,\n", + ")\n", + "\n", + "stochastic_rail_buttons = StochasticRailButtons(\n", + " rail_buttons=rail_buttons, buttons_distance=0.001\n", + ")\n", + "\n", + "stochastic_main = StochasticParachute(\n", + " parachute=Main,\n", + " cd_s=0.1,\n", + " lag=0.1,\n", + ")\n", + "\n", + "stochastic_drogue = StochasticParachute(\n", + " parachute=Drogue,\n", + " cd_s=0.07,\n", + " lag=0.2,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we must add them to our stochastic rocket, much like we do in the normal Rocket.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "stochastic_rocket.add_motor(stochastic_motor, position=0.001)\n", + "stochastic_rocket.add_nose(stochastic_nose_cone, position=(1.134, 0.001))\n", + "stochastic_rocket.add_trapezoidal_fins(stochastic_fin_set, position=(0.001, \"normal\"))\n", + "stochastic_rocket.add_tail(stochastic_tail)\n", + "stochastic_rocket.set_rail_buttons(\n", + " stochastic_rail_buttons, lower_button_position=(0.001, \"normal\")\n", + ")\n", + "stochastic_rocket.add_parachute(stochastic_main)\n", + "stochastic_rocket.add_parachute(stochastic_drogue)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### NOTE\n", + "\n", + "The `position` arguments behave just like the other ``Stochastic`` classes parameters\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now lets check how the `StochasticRocket` handled all these additions" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reporting the attributes of the `StochasticRocket` object:\n", + "\n", + "Constant Attributes:\n", + "\tI_12_without_motor 0\n", + "\tI_13_without_motor 0\n", + "\tI_23_without_motor 0\n", + "\tcoordinate_system_orientation tail_to_nose\n", + "\tpower_off_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power Off)\n", + "\tpower_on_drag Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power On)\n", + "\n", + "Stochastic Attributes:\n", + "\tI_11_without_motor 6.32100 ± 0.00000 (normal)\n", + "\tI_22_without_motor 6.32100 ± 0.01000 (normal)\n", + "\tI_33_without_motor 0.03400 ± 0.01000 (normal)\n", + "\tcenter_of_mass_without_motor 0.00000 ± 0.00000 (normal)\n", + "\tmass 15.42600 ± 0.50000 (normal)\n", + "\tpower_off_drag_factor 1.00000 ± 0.00000 (normal)\n", + "\tpower_on_drag_factor 1.00000 ± 0.00000 (normal)\n", + "\tradius 0.06350 ± 0.00001 (normal)\n" + ] + } + ], + "source": [ + "stochastic_rocket.visualize_attributes()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "### Flight\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After defining the `Flight`, we can create the corresponding `Stochastic` object to define the uncertainties of the input parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reporting the attributes of the `StochasticFlight` object:\n", + "\n", + "Constant Attributes:\n", + "\trail_length 5\n", + "\n", + "Stochastic Attributes:\n", + "\theading 53.00000 ± 2.00000 (normal)\n", + "\tinclination 84.70000 ± 1.00000 (normal)\n" + ] + } + ], + "source": [ + "stochastic_flight = StochasticFlight(\n", + " flight=test_flight,\n", + " inclination=(84.7, 1), # mean= 84.7, std=1\n", + " heading=(53, 2), # mean= 53, std=2\n", + ")\n", + "stochastic_flight.visualize_attributes()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 2: Starting the Monte Carlo Simulations\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, let's invoke the `MonteCarlo` class, we are going to need a filename to initialize it.\n", + "The filename will be used either to save the results of the simulations or to load them\n", + "from a previous ran simulation.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following input file was imported: monte_carlo_analysis_outputs/monte_carlo_class_example.inputs.txt\n", + "A total of 100 simulations results were loaded from the following output file: monte_carlo_analysis_outputs/monte_carlo_class_example.outputs.txt\n", + "\n", + "The following error file was imported: monte_carlo_analysis_outputs/monte_carlo_class_example.errors.txt \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/phmb/github/RocketPy/rocketpy/simulation/monte_carlo.py:137: UserWarning: This class is still under testing and some attributes may be changed in next versions\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "test_dispersion = MonteCarlo(\n", + " filename=\"monte_carlo_analysis_outputs/monte_carlo_class_example\",\n", + " environment=stochastic_env,\n", + " rocket=stochastic_rocket,\n", + " flight=stochastic_flight,\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, let's simulate our flights. \n", + "We can run the simulations using the method `MonteCarlo.simulate()`.\n", + "\n", + "Set `append=False` to overwrite the previous results, or `append=True` to add the new results to the previous ones.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting Monte Carlo analysis \n", + "Running Monte Carlo simulation with 8 workers.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Current iteration: 000098 | Average Time per Iteration: 0.466 s | Estimated time left: 0 s \n", + "Completed 100 iterations. In total, 100 simulations are exported.\n", + "Total wall time: 46.6 s \n", + "Results saved to monte_carlo_analysis_outputs/monte_carlo_class_example.outputs.txt\n" + ] + } + ], + "source": [ + "test_dispersion.simulate(\n", + " number_of_simulations=100,\n", + " append=False,\n", + " parallel=True,\n", + " n_workers=None,\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualizing the results\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we finally have the results of our Monte Carlo simulations loaded!\n", + "Let's play with them.\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we can print numerical information regarding the results of the simulations.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# You only need to import results if you did not run the simulations\n", + "# test_dispersion.import_results()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "100" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_dispersion.num_of_loaded_sims" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Monte Carlo Simulation by RocketPy\n", + "Data Source: monte_carlo_analysis_outputs/monte_carlo_class_example\n", + "Number of simulations: 100\n", + "Results: \n", + "\n", + " Parameter Mean Std. Dev.\n", + "------------------------------------------------------------\n", + " x_impact 53.820 303.766\n", + " apogee_y 412.951 116.194\n", + " apogee_x 761.323 180.226\n", + " t_final 298.517 42.395\n", + " apogee_time 24.626 2.788\n", + " max_mach_number 0.844 0.162\n", + " impact_velocity -5.231 0.082\n", + " lateral_surface_wind 1.543 0.410\n", + " y_impact 580.847 263.231\n", + " apogee 3188.930 744.872\n", + " out_of_rail_velocity 25.392 2.789\n", + " initial_stability_margin 2.569 0.079\n", + " frontal_surface_wind -2.940 0.573\n", + " out_of_rail_time 0.366 0.039\n", + "out_of_rail_stability_margin 2.643 0.081\n", + " index 49.500 28.866\n" + ] + } + ], + "source": [ + "test_dispersion.prints.all()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Secondly, we can plot the results of the simulations.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Secondly, we can plot the results of the simulations.\n" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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" ] }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, one may also export the ellipses to a ``.kml`` file so it can be easily visualized in Google Earth\n" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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dX1q1aqUyZcqof//+Gj58uGw2m957770sv3y9vLy0aNEiPfroo2rcuLEGDhyoypUr6/vvv9ehQ4e0cePGAsmbnfr16+u+++5TTEyMLl68qLJly2rp0qW6fft2vr1mUlKSunXrpk6dOmn37t16//339dRTT6lRo0aSfi9XM2bMUExMjJKTk9WjRw+VLl1aSUlJWrVqlYYMGZLlNHj8PVBkUOQNHz5cn376qTZt2qS0tDRVq1ZNM2bM0AsvvOBY5rHHHtOwYcO0dOlSvf/++zIMQ5GRkfLy8tKnn36qSZMm6eOPP1Z8fLyqV6+u1157zXE2T6Z3331XwcHB+uijj7Rq1Sp17NhRH3/8serUqSM/Pz+Xsn744YcaNmyY4uLiZBiGHn74Ya1fv14hISFunZOc/Oc//1HNmjWVkJCgVatWKTg4WDExMZo8eXKBvH523njjDXl7e+uDDz7QzZs31bp1a23ZssWxFUySfvrpJ40aNUqPPvqo+vfv7xjv3bu3VqxYobFjx6pz587ZHmDtbuXKldOaNWs0evRovfTSSypTpoz69OmjBx980Cmz9PuWvG3btmnq1KmaPXu27Ha7wsLCHNcV8qQPPvhAzz77rGbOnKmgoCANGjRIHTp0cFxzyd0+/vhjx7V2ihUrpqFDh+q1115zWmb8+PGqXbu25s6dq6lTp0r6/eDrhx9+WN26dcuXXCj8bIant2ECRdj+/fvVpEkTvf/+++rdu7en4wBAkcMxMoCb/Pbbb1nG5s2bJy8vrzte+RYAkDfsWgLcZNasWdq7d686dOigYsWKaf369Vq/fr2GDBmS5XoaKHgZGRn69ddfc12mVKlSWU7jtYKLFy/q1q1bOT7u7e2d5To0QFHBriXATTZv3qypU6fq8OHDun79uu666y717dtXEyZMcLoSLDwjOTn5jsfITJ482ekDPq2iffv22rFjR46PV6tWLcsHQAJFBUUGwN/CzZs39fnnn+e6TM2aNVWzZs0CSuQ+e/fuzfUqv/7+/mrdunUBJgIKDkUGAABYFgf7AgAAyyryO+7tdrt++eUXlS5dOl8+QwYAALifYRi6du2aQkJC5OWV83aXIl9kfvnlF84YAQDAok6fPu24Wnd2inyRyfygv9OnTysgIMDDaQAAgCuuXr2q0NBQpw/szU6RLzKZu5MCAgIoMgAAWMydDgvhYF8AAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZxTwdAACA/FB9/FpPRzAteWZXT0ewHLbIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAy6LIAAAAyyrm6QAA8FdUH7/W0xFMS57Z1dMRgCKDLTIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyPFpkYmNj9f/+3/9T6dKlVbFiRfXo0UM//PCD0zI3b95UVFSUypUrp1KlSunxxx/X2bNnPZQYAAAUJh4tMjt27FBUVJT27NmjzZs3Kz09XQ8//LBSU1Mdy4waNUqfffaZli1bph07duiXX37RY4895sHUAACgsPDoh0Zu2LDB6X5CQoIqVqyovXv3qm3btrpy5YoWL16sDz/8UA888IAkKT4+Xnfffbf27Nmj++67zxOxAQBAIVGojpG5cuWKJKls2bKSpL179yo9PV0dO3Z0LFO3bl3ddddd2r17d7brSEtL09WrV51uAACgaCo0RcZut2vkyJFq3bq1GjRoIElKSUmRj4+PgoKCnJatVKmSUlJSsl1PbGysAgMDHbfQ0ND8jg4AADyk0BSZqKgofffdd1q6dOlfWk9MTIyuXLniuJ0+fdpNCQEAQGHj0WNkMg0dOlRr1qzRzp07VbVqVcd4cHCwbt26pcuXLzttlTl79qyCg4OzXZevr698fX3zOzIAACgEPLpFxjAMDR06VKtWrdLWrVtVo0YNp8ebNWum4sWLKzEx0TH2ww8/6NSpU2rZsmVBxwUAAIWMR7fIREVF6cMPP9Qnn3yi0qVLO457CQwMlL+/vwIDAzVo0CBFR0erbNmyCggI0LBhw9SyZUvOWAIAAJ4tMosWLZIktW/f3mk8Pj5eAwYMkCTNnTtXXl5eevzxx5WWlqaIiAgtXLiwgJMCAIDCyKNFxjCMOy7j5+enuLg4xcXFFUAiAABgJYXmrCUAAACzKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyKDIAAMCyTBeZb775RgcPHnTc/+STT9SjRw+9+OKLunXrllvDAQAA5MZ0kXn22Wd19OhRSdLJkycVGRmpEiVKaNmyZRo7dqzbAwIAAOTEdJE5evSoGjduLElatmyZ2rZtqw8//FAJCQlasWKFu/MBAADkyHSRMQxDdrtdkrRlyxZ16dJFkhQaGqrz58+7Nx0AAEAuTBeZe++9VzNmzNB7772nHTt2qGvXrpKkpKQkVapUye0BAQAAclLM7BPmzZun3r17a/Xq1ZowYYLCw8MlScuXL1erVq3cHhAAiprq49d6OoJpyTO7ejoCkC3TReaee+5xOmsp02uvvSZvb2+3hAIAAHBFnq4jc/nyZf3nP/9RTEyMLl68KEk6fPiwzp0759ZwAAAAuTG9RebAgQN68MEHFRQUpOTkZA0ePFhly5bVypUrderUKb377rv5kRMAACAL01tkoqOjNXDgQB07dkx+fn6O8S5dumjnzp1uDQcAAJAb00Xmf//7n5599tks41WqVFFKSopbQgEAALjCdJHx9fXV1atXs4wfPXpUFSpUcEsoAAAAV5guMt26ddO0adOUnp4uSbLZbDp16pTGjRunxx9/3O0BAQAAcmK6yMyePVvXr19XxYoV9dtvv6ldu3YKDw9X6dKl9fLLL+dHRgAAgGyZPmspMDBQmzdv1hdffKFvv/1W169fV9OmTdWxY8f8yAcAAJAj00UmU+vWrdW6dWt3ZgEAADDF9K6l4cOHa/78+VnG33zzTY0cOdIdmQAAAFxiusisWLEi2y0xrVq10vLly90SCgAAwBWmi8yFCxcUGBiYZTwgIEDnz593SygAAABXmC4y4eHh2rBhQ5bx9evXq2bNmm4JBQAA4ArTB/tGR0dr6NCh+vXXX/XAAw9IkhITEzV79mzNmzfP3fkAAPjbqD5+racjmJY8s6tHX990kXn66aeVlpaml19+WdOnT5ckVa9eXYsWLVK/fv3cHhAAACAneTr9+rnnntNzzz2nX3/9Vf7+/ipVqpS7cwEAANxRnq8jI4nPVgIAAB5l+mDfs2fPqm/fvgoJCVGxYsXk7e3tdAMAACgoprfIDBgwQKdOndLEiRNVuXJl2Wy2/MgFAABwR6aLzOeff67//ve/aty4cT7EAQAAcJ3pXUuhoaEyDCM/sgAAAJhiusjMmzdP48ePV3Jycj7EAQAAcJ3pXUu9evXSjRs3FBYWphIlSqh48eJOj1+8eNFt4QAAAHJjushw9V4AAFBYmC4y/fv3z48cAAAAppk+RkaSTpw4oZdeeklPPvmkzp07J+n3D408dOiQqfXs3LlTjz76qEJCQmSz2bR69WqnxwcMGCCbzeZ069SpU14iAwCAIsh0kdmxY4caNmyoL7/8UitXrtT169clSd9++60mT55sal2pqalq1KiR4uLiclymU6dOOnPmjOP20UcfmY0MAACKKNO7lsaPH68ZM2YoOjpapUuXdow/8MADevPNN02tq3PnzurcuXOuy/j6+io4ONhsTAAA8DdgeovMwYMH9Y9//CPLeMWKFXX+/Hm3hPqj7du3q2LFiqpTp46ee+45XbhwIdfl09LSdPXqVacbAAAomkwXmaCgIJ05cybL+L59+1SlShW3hMrUqVMnvfvuu0pMTNSrr76qHTt2qHPnzsrIyMjxObGxsQoMDHTcQkND3ZoJAAAUHqaLTGRkpMaNG6eUlBTZbDbZ7XZ98cUXGjNmjPr16+fWcJGRkerWrZsaNmyoHj16aM2aNfrf//6n7du35/icmJgYXblyxXE7ffq0WzMBAIDCw3SReeWVV1S3bl2Fhobq+vXrqlevntq2batWrVrppZdeyo+MDjVr1lT58uV1/PjxHJfx9fVVQECA0w0AABRNpg72NQxDKSkpmj9/viZNmqSDBw/q+vXratKkiWrVqpVfGR1++uknXbhwQZUrV8731wIAAIWf6SITHh6uQ4cOqVatWn/5+JPr1687bV1JSkrS/v37VbZsWZUtW1ZTp07V448/ruDgYJ04cUJjx45VeHi4IiIi/tLrAgCAosHUriUvLy/VqlXrjmcOuerrr79WkyZN1KRJE0lSdHS0mjRpokmTJsnb21sHDhxQt27dVLt2bQ0aNEjNmjXTf//7X/n6+rrl9QEAgLWZvo7MzJkz9cILL2jRokVq0KDBX3rx9u3byzCMHB/fuHHjX1o/AAAo2kwXmX79+unGjRtq1KiRfHx85O/v7/Q4n34NAAAKCp9+DQAALMtUkUlPT9eOHTs0ceJE1ahRI78yAQAAuMTUwb7FixfXihUr8isLAACAKaYviNejRw+tXr06H6IAAACYY/oYmVq1amnatGn64osv1KxZM5UsWdLp8eHDh7stHAAAQG5MF5nFixcrKChIe/fu1d69e50es9lsFBkAAFBgTBeZpKSk/MgBAABgmuljZAAAAAoL01tknn766VwfX7JkSZ7DAAAAmGG6yFy6dMnpfnp6ur777jtdvnxZDzzwgNuCAQAA3InpIrNq1aosY3a7Xc8995zCwsLcEgoAAMAVbjlGxsvLS9HR0Zo7d647VgcAAOAStx3se+LECd2+fdtdqwMAALgj07uWoqOjne4bhqEzZ85o7dq16t+/v9uCAQAA3InpIrNv3z6n+15eXqpQoYJmz559xzOaAAAA3Ml0kdm2bVt+5AAAADDN9DEySUlJOnbsWJbxY8eOKTk52R2ZAAAAXGK6yAwYMEC7du3KMv7ll19qwIAB7sgEAADgEtNFZt++fWrdunWW8fvuu0/79+93RyYAAACXmC4yNptN165dyzJ+5coVZWRkuCUUAACAK0wXmbZt2yo2NtaptGRkZCg2NlZt2rRxazgAAIDcmD5r6dVXX1Xbtm1Vp04d3X///ZKk//73v7p69aq2bt3q9oAAAAA5Mb1Fpl69ejpw4IB69uypc+fO6dq1a+rXr5++//57NWjQID8yAgAAZMv0FhlJCgkJ0SuvvOLuLAAAAKaY3iITHx+vZcuWZRlftmyZ3nnnHbeEAgAAcIXpIhMbG6vy5ctnGa9YsSJbaQAAQIEyXWROnTqlGjVqZBmvVq2aTp065ZZQAAAArjBdZCpWrKgDBw5kGf/2229Vrlw5t4QCAABwheki8+STT2r48OHatm2bMjIylJGRoa1bt2rEiBGKjIzMj4wAAADZMn3W0vTp05WcnKwHH3xQxYr9/nS73a5+/fpxjAwAAChQpouMj4+PPv74Y02fPl3ffvut/P391bBhQ1WrVi0/8gEAAOQoT9eRkaSyZcuqQ4cO2Z7BBAAAUBBMHSNz+fJlRUVFqXz58qpUqZIqVaqk8uXLa+jQobp8+XI+RQQAAMiey1tkLl68qJYtW+rnn39W7969dffdd0uSDh8+rISEBCUmJmrXrl0qU6ZMvoUFAAD4I5eLzLRp0+Tj46MTJ06oUqVKWR57+OGHNW3aNM2dO9ftIQEAALLj8q6l1atX6/XXX89SYiQpODhYs2bN0qpVq9waDgAAIDcuF5kzZ86ofv36OT7eoEEDpaSkuCUUAACAK1wuMuXLl1dycnKOjyclJals2bLuyAQAAOASl4tMRESEJkyYoFu3bmV5LC0tTRMnTlSnTp3cGg4AACA3pg72vffee1WrVi1FRUWpbt26MgxDR44c0cKFC5WWlqb33nsvP7MCAAA4cbnIVK1aVbt379bzzz+vmJgYGYYhSbLZbHrooYf05ptvKjQ0NN+CAgAA/JmpK/vWqFFD69ev16VLl3Ts2DFJUnh4OMfGAAAAj8jTRxSUKVNGzZs3d3cWAAAAU0x9RAEAAEBhQpEBAACWRZEBAACW5VKRadq0qS5duiTp99Owb9y4ka+hAAAAXOFSkTly5IhSU1MlSVOnTtX169fzNRQAAIArXDprqXHjxho4cKDatGkjwzD0+uuvq1SpUtkuO2nSJLcGBAAAyIlLRSYhIUGTJ0/WmjVrZLPZtH79ehUrlvWpNpuNIgMAAAqMS0WmTp06Wrp0qSTJy8tLiYmJqlixYr4GAwAAuBPTF8Sz2+35kQMAAMC0PF3Z98SJE5o3b56OHDkiSapXr55GjBihsLAwt4YDAADIjekis3HjRnXr1k2NGzdW69atJUlffPGF6tevr88++0wPPfSQ20MWVtXHr/V0hDxJntnV0xEAAHAL00Vm/PjxGjVqlGbOnJllfNy4cX+rIgMAADzL9JV9jxw5okGDBmUZf/rpp3X48GG3hAIAAHCF6SJToUIF7d+/P8v4/v37OZMJAAAUKNO7lgYPHqwhQ4bo5MmTatWqlaTfj5F59dVXFR0d7faAAAAAOTFdZCZOnKjSpUtr9uzZiomJkSSFhIRoypQpGj58uNsDAgAA5MR0kbHZbBo1apRGjRqla9euSZJKly7t9mAAAAB3kqfryGSiwAAAAE8yfbAvAABAYUGRAQAAlkWRAQAAlmWqyKSnp+vBBx/UsWPH3PLiO3fu1KOPPqqQkBDZbDatXr3a6XHDMDRp0iRVrlxZ/v7+6tixo9teGwAAWJ+pIlO8eHEdOHDAbS+empqqRo0aKS4uLtvHZ82apfnz5+utt97Sl19+qZIlSyoiIkI3b950WwYAAGBdpnct9enTR4sXL3bLi3fu3FkzZszQP/7xjyyPGYahefPm6aWXXlL37t11zz336N1339Uvv/ySZcsNAAD4ezJ9+vXt27e1ZMkSbdmyRc2aNVPJkiWdHp8zZ45bgiUlJSklJUUdO3Z0jAUGBqpFixbavXu3IiMjs31eWlqa0tLSHPevXr3qljwAAKDwMV1kvvvuOzVt2lSSdPToUafHbDabe1JJSklJkSRVqlTJabxSpUqOx7ITGxurqVOnui0HAAAovEwXmW3btuVHDreJiYlx+synq1evKjQ01IOJAABAfsnz6dfHjx/Xxo0b9dtvv0n6/ZgWdwoODpYknT171mn87Nmzjsey4+vrq4CAAKcbAAAomkwXmQsXLujBBx9U7dq11aVLF505c0aSNGjQII0ePdptwWrUqKHg4GAlJiY6xq5evaovv/xSLVu2dNvrAAAA6zJdZEaNGqXixYvr1KlTKlGihGO8V69e2rBhg6l1Xb9+Xfv379f+/fsl/X6A7/79+3Xq1CnZbDaNHDlSM2bM0KeffqqDBw+qX79+CgkJUY8ePczGBgAARZDpY2Q2bdqkjRs3qmrVqk7jtWrV0o8//mhqXV9//bU6dOjguJ95bEv//v2VkJCgsWPHKjU1VUOGDNHly5fVpk0bbdiwQX5+fmZjAwCAIsh0kUlNTXXaEpPp4sWL8vX1NbWu9u3b53psjc1m07Rp0zRt2jSzMQEAwN+A6V1L999/v959913HfZvNJrvdrlmzZjltXQEAAMhvprfIzJo1Sw8++KC+/vpr3bp1S2PHjtWhQ4d08eJFffHFF/mREQAAIFumt8g0aNBAR48eVZs2bdS9e3elpqbqscce0759+xQWFpYfGQEAALJleouM9PtHBUyYMMHdWQAAAEzJU5G5dOmSFi9erCNHjkiS6tWrp4EDB6ps2bJuDQcAAJAb07uWdu7cqerVq2v+/Pm6dOmSLl26pPnz56tGjRrauXNnfmQEAADIluktMlFRUerVq5cWLVokb29vSVJGRoaef/55RUVF6eDBg24PCQAAkB3TW2SOHz+u0aNHO0qMJHl7eys6OlrHjx93azgAAIDcmC4yTZs2dRwb80dHjhxRo0aN3BIKAADAFS7tWjpw4IDj78OHD9eIESN0/Phx3XfffZKkPXv2KC4uTjNnzsyflAAAANlwqcg0btxYNpvN6eMExo4dm2W5p556Sr169XJfOgAAgFy4VGSSkpLyOwcAAIBpLhWZatWq5XcOAAAA0/J0QbxffvlFn3/+uc6dOye73e702PDhw90SDAAA4E5MF5mEhAQ9++yz8vHxUbly5WSz2RyP2Ww2igwAACgwpovMxIkTNWnSJMXExMjLy/TZ2wAAAG5juoncuHFDkZGRlBgAAOBxptvIoEGDtGzZsvzIAgAAYIrpXUuxsbF65JFHtGHDBjVs2FDFixd3enzOnDluCwcAAJCbPBWZjRs3qk6dOpKU5WBfAACAgmK6yMyePVtLlizRgAED8iEOAACA60wfI+Pr66vWrVvnRxYAAABTTBeZESNGaMGCBfmRBQAAwBTTu5a++uorbd26VWvWrFH9+vWzHOy7cuVKt4UDAADIjekiExQUpMceeyw/sgDwsOrj13o6AgCYYrrIxMfH50cOAAAA07g8LwAAsCzTW2Rq1KiR6/ViTp48+ZcCAQAAuMp0kRk5cqTT/fT0dO3bt08bNmzQCy+84K5cAAAAd2S6yIwYMSLb8bi4OH399dd/ORAAAICr3HaMTOfOnbVixQp3rQ4AAOCO3FZkli9frrJly7prdQAAAHdketdSkyZNnA72NQxDKSkp+vXXX7Vw4UK3hgMAAMiN6SLTo0cPp/teXl6qUKGC2rdvr7p167orFwAAwB2ZLjKTJ0/OjxwAAACmcUE8AABgWS5vkfHy8sr1QniSZLPZdPv27b8cCgAAwBUuF5lVq1bl+Nju3bs1f/582e12t4QCAABwhctFpnv37lnGfvjhB40fP16fffaZevfurWnTprk1HAAAQG7ydIzML7/8osGDB6thw4a6ffu29u/fr3feeUfVqlVzdz4AAIAcmSoyV65c0bhx4xQeHq5Dhw4pMTFRn332mRo0aJBf+QAAAHLk8q6lWbNm6dVXX1VwcLA++uijbHc1AQAAFCSXi8z48ePl7++v8PBwvfPOO3rnnXeyXW7lypVuCwcAAJAbl4tMv3797nj6NQAAQEFyucgkJCTkYwwAAADzuLIvAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwLIoMAACwrEJdZKZMmSKbzeZ0q1u3rqdjAQCAQqKYpwPcSf369bVlyxbH/WLFCn1kAABQQAp9KyhWrJiCg4M9HQMAABRChXrXkiQdO3ZMISEhqlmzpnr37q1Tp07lunxaWpquXr3qdAMAAEVToS4yLVq0UEJCgjZs2KBFixYpKSlJ999/v65du5bjc2JjYxUYGOi4hYaGFmBiAABQkAp1kencubOeeOIJ3XPPPYqIiNC6det0+fJl/d///V+Oz4mJidGVK1cct9OnTxdgYgAAUJAK/TEyfxQUFKTatWvr+PHjOS7j6+srX1/fAkwFAAA8pVBvkfmz69ev68SJE6pcubKnowAAgEKgUBeZMWPGaMeOHUpOTtauXbv0j3/8Q97e3nryySc9HQ0AABQChXrX0k8//aQnn3xSFy5cUIUKFdSmTRvt2bNHFSpU8HQ0AABQCBTqIrN06VJPRwAAAIVYod61BAAAkBuKDAAAsCyKDAAAsCyKDAAAsCyKDAAAsCyKDAAAsCyKDAAAsCyKDAAAsKxCfUE8AEDhUH38Wk9HALLFFhkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZFBkAAGBZligycXFxql69uvz8/NSiRQt99dVXno4EAAAKgUJfZD7++GNFR0dr8uTJ+uabb9SoUSNFRETo3Llzno4GAAA8rNAXmTlz5mjw4MEaOHCg6tWrp7feekslSpTQkiVLPB0NAAB4WDFPB8jNrVu3tHfvXsXExDjGvLy81LFjR+3evTvb56SlpSktLc1x/8qVK5Kkq1evuj2fPe2G29dZEPJjLlA0WPV7GoDn5NfvlMz1GoaR63KFusicP39eGRkZqlSpktN4pUqV9P3332f7nNjYWE2dOjXLeGhoaL5ktKLAeZ5OAAAoKvL7d8q1a9cUGBiY4+OFusjkRUxMjKKjox337Xa7Ll68qHLlyslms3kwWcG5evWqQkNDdfr0aQUEBHg6TqHFPN0Zc+Qa5sk1zJNrmKffGYaha9euKSQkJNflCnWRKV++vLy9vXX27Fmn8bNnzyo4ODjb5/j6+srX19dpLCgoKL8iFmoBAQF/6x8CVzFPd8YcuYZ5cg3z5BrmSbluiclUqA/29fHxUbNmzZSYmOgYs9vtSkxMVMuWLT2YDAAAFAaFeouMJEVHR6t///6699571bx5c82bN0+pqakaOHCgp6MBAAAPK/RFplevXvr11181adIkpaSkqHHjxtqwYUOWA4Dx//P19dXkyZOz7GKDM+bpzpgj1zBPrmGeXMM8mWMz7nReEwAAQCFVqI+RAQAAyA1FBgAAWBZFBgAAWBZFBgAAWBZFBgAAWBZFxqLi4uJUvXp1+fn5qUWLFvrqq69yXDYhIUE2m83p5ufnV4BpPcPMHEnS5cuXFRUVpcqVK8vX11e1a9fWunXrCiit55iZp/bt22f5XrLZbOratWsBJvYMs99P8+bNU506deTv76/Q0FCNGjVKN2/eLKC0nmNmntLT0zVt2jSFhYXJz89PjRo10oYNGwowbcHbuXOnHn30UYWEhMhms2n16tV3fM727dvVtGlT+fr6Kjw8XAkJCfme01IMWM7SpUsNHx8fY8mSJcahQ4eMwYMHG0FBQcbZs2ezXT4+Pt4ICAgwzpw547ilpKQUcOqCZXaO0tLSjHvvvdfo0qWL8fnnnxtJSUnG9u3bjf379xdw8oJldp4uXLjg9H303XffGd7e3kZ8fHzBBi9gZufpgw8+MHx9fY0PPvjASEpKMjZu3GhUrlzZGDVqVAEnL1hm52ns2LFGSEiIsXbtWuPEiRPGwoULDT8/P+Obb74p4OQFZ926dcaECROMlStXGpKMVatW5br8yZMnjRIlShjR0dHG4cOHjQULFhje3t7Ghg0bCiawBVBkLKh58+ZGVFSU435GRoYREhJixMbGZrt8fHy8ERgYWEDpCgezc7Ro0SKjZs2axq1btwoqYqFgdp7+bO7cuUbp0qWN69ev51fEQsHsPEVFRRkPPPCA01h0dLTRunXrfM3paWbnqXLlysabb77pNPbYY48ZvXv3ztechYUrRWbs2LFG/fr1ncZ69eplRERE5GMya2HXksXcunVLe/fuVceOHR1jXl5e6tixo3bv3p3j865fv65q1aopNDRU3bt316FDhwoirkfkZY4+/fRTtWzZUlFRUapUqZIaNGigV155RRkZGQUVu8Dl9XvpjxYvXqzIyEiVLFkyv2J6XF7mqVWrVtq7d69jt8rJkye1bt06denSpUAye0Je5iktLS3Lbm5/f399/vnn+ZrVSnbv3u00p5IUERHh8s/o3wFFxmLOnz+vjIyMLB/RUKlSJaWkpGT7nDp16mjJkiX65JNP9P7778tut6tVq1b66aefCiJygcvLHJ08eVLLly9XRkaG1q1bp4kTJ2r27NmaMWNGQUT2iLzM0x999dVX+u677/TMM8/kV8RCIS/z9NRTT2natGlq06aNihcvrrCwMLVv314vvvhiQUT2iLzMU0REhObMmaNjx47Jbrdr8+bNWrlypc6cOVMQkS0hJSUl2zm9evWqfvvtNw+lKlwoMn8DLVu2VL9+/dS4cWO1a9dOK1euVIUKFfTvf//b09EKDbvdrooVK+rtt99Ws2bN1KtXL02YMEFvvfWWp6MVWosXL1bDhg3VvHlzT0cpdLZv365XXnlFCxcu1DfffKOVK1dq7dq1mj59uqejFSpvvPGGatWqpbp168rHx0dDhw7VwIED5eXFrya4rtB/aCSclS9fXt7e3jp79qzT+NmzZxUcHOzSOooXL64mTZro+PHj+RHR4/IyR5UrV1bx4sXl7e3tGLv77ruVkpKiW7duycfHJ18ze8Jf+V5KTU3V0qVLNW3atPyMWCjkZZ4mTpyovn37OrZWNWzYUKmpqRoyZIgmTJhQJH9R52WeKlSooNWrV+vmzZu6cOGCQkJCNH78eNWsWbMgIltCcHBwtnMaEBAgf39/D6UqXIreT1MR5+Pjo2bNmikxMdExZrfblZiYqJYtW7q0joyMDB08eFCVK1fOr5gelZc5at26tY4fPy673e4YO3r0qCpXrlwkS4z0176Xli1bprS0NPXp0ye/Y3pcXubpxo0bWcpKZkk2iujn9P6V7yc/Pz9VqVJFt2/f1ooVK9S9e/f8jmsZLVu2dJpTSdq8ebPL/97/LXj6aGOYt3TpUsPX19dISEgwDh8+bAwZMsQICgpynFLdt29fY/z48Y7lp06damzcuNE4ceKEsXfvXiMyMtLw8/MzDh065Km3kO/MztGpU6eM0qVLG0OHDjV++OEHY82aNUbFihWNGTNmeOotFAiz85SpTZs2Rq9evQo6rseYnafJkycbpUuXNj766CPj5MmTxqZNm4ywsDCjZ8+ennoLBcLsPO3Zs8dYsWKFceLECWPnzp3GAw88YNSoUcO4dOmSh95B/rt27Zqxb98+Y9++fYYkY86cOca+ffuMH3/80TAMwxg/frzRt29fx/KZp1+/8MILxpEjR4y4uDhOv/4TioxFLViwwLjrrrsMHx8fo3nz5saePXscj7Vr187o37+/4/7IkSMdy1aqVMno0qVLkb5OQyYzc2QYhrFr1y6jRYsWhq+vr1GzZk3j5ZdfNm7fvl3AqQue2Xn6/vvvDUnGpk2bCjipZ5mZp/T0dGPKlClGWFiY4efnZ4SGhhrPP/98kf4FncnMPG3fvt24++67DV9fX6NcuXJG3759jZ9//tkDqQvOtm3bDElZbpnz0r9/f6Ndu3ZZntO4cWPDx8fHqFmzZpG/bpNZNsMoots5AQBAkccxMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLIoMgAAwLL+P4PkhZabl+3gAAAAAElFTkSuQmCC", + "text/plain": [ + "
" ] }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [], - "source": [ - "test_dispersion.export_ellipses_to_kml(\n", - " filename=\"monte_carlo_analysis_outputs/monte_carlo_class_example.kml\",\n", - " origin_lat=env.latitude,\n", - " origin_lon=env.longitude,\n", - " type=\"impact\",\n", - ")" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Custom exports using callback functions" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We have shown, so far, how to perform to use the `MonteCarlo` class and visualize its results. By default, some variables exported to the output files, such as *apogee* and *x_impact*. The `export_list` argument provides a simplified way for the user to export additional variables listed in the documentation, such as *inclination* and *heading*. \n", - "\n", - "There are applications in which you might need to extract more information in the results than the `export_list` argument can handle. To that end, the `MonteCarlo` class has a `data_collector` argument which allows you customize further the output of the simulation.\n", - "\n", - "To exemplify its use, we show how to export the *date* of the environment used in the simulation together with the *average reynolds number* along with the default variables." + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We will use the `stochastic_env`, `stochastic_rocket` and `stochastic_flight` objects previously defined, and only change the `MonteCarlo` object. First, we need to define our customized data collector." + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "\n", - "# Defining custom callback functions\n", - "def get_average_reynolds_number(flight):\n", - " reynold_number_list = flight.reynolds_number(flight.time)\n", - " average_reynolds_number = np.mean(reynold_number_list)\n", - " return average_reynolds_number\n", - "\n", - "\n", - "def get_date(flight):\n", - " return flight.env.date\n", - "\n", - "\n", - "custom_data_collector = {\n", - " \"average_reynolds_number\": get_average_reynolds_number,\n", - " \"date\": get_date,\n", - "}" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `data_collector` must be a dictionary whose keys are the names of the variables we want to export and the values are callback functions (python callables) that compute these variable values. Notice how we can compute complex expressions in this function and just export the result. For instance, the *get_average_reynolds_number* calls the `flight.reynolds_number` method for each value in `flight.time` list and computes the average value using numpy's `mean`. The *date* variable is straightforward.\n", - "\n", - "After we define the data collector, we pass it as an argument to the `MonteCarlo` class." + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "test_dispersion = MonteCarlo(\n", - " filename=\"monte_carlo_analysis_outputs/monte_carlo_class_example_customized\",\n", - " environment=stochastic_env,\n", - " rocket=stochastic_rocket,\n", - " flight=stochastic_flight,\n", - " export_list=[\"apogee\", \"apogee_time\", \"x_impact\"],\n", - " data_collector=custom_data_collector,\n", - ")" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "test_dispersion.simulate(number_of_simulations=10, append=False)" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "test_dispersion.prints.all()" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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u1p49e1zv9+3bp02bNik6OloNGjTQ4MGDNXHiRCUlJSkxMVGjR49WfHy8evbs6bvQAADAb/i0yKxbt06dO3d2vc/MzJQkpaamavbs2Ro2bJhOnTqlRx99VAUFBerYsaMWL16sGjVq+CoyAADwIw5jjPF1iKpUVFSkyMhIFRYWev1+GZ5aAgD8r6uqp5Y8/f3tt/fIAAAAXAxFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2BZFBgAA2JZfF5nS0lKNHj1aiYmJCgsLU+PGjTVhwgQZY3wdDQAA+IEgXweozDPPPKOXX35Zc+bMUfPmzbVu3TqlpaUpMjJSGRkZvo4HAAB8zK+LzFdffaUePXqoe/fukqRGjRrpnXfe0Zo1a3ycDAAA+AO/vrTUvn175ebmateuXZKkzZs364svvtDtt99e4TYlJSUqKipyewEAgMuTX5+RGTFihIqKitS0aVMFBgaqtLRUkyZNUp8+fSrcJisrS+PGjavGlAAAwFf8+ozMe++9p7feektvv/22NmzYoDlz5ui5557TnDlzKtxm5MiRKiwsdL0OHjxYjYkBAEB18uszMkOHDtWIESPUu3dvSVKLFi30/fffKysrS6mpqeVuExoaqtDQ0OqMCQAAfMSvz8icPn1aAQHuEQMDA+V0On2UCAAA+BO/PiNz5513atKkSWrQoIGaN2+ujRs3atq0aerXr5+vowEAAD/g10XmxRdf1OjRo/X4448rPz9f8fHxGjBggMaMGePraAAAwA/4dZEJDw9Xdna2srOzfR0FAAD4Ib++RwYAAKAyFBkAAGBbFBkAAGBbFBkAAGBbFBkAAGBbFBkAAGBbFBkAAGBbFBkAAGBbFBkAAGBblovMhg0btHXrVtf7Dz/8UD179tSTTz6pM2fOeDUcAABAZSwXmQEDBmjXrl2SpL1796p379664oorNG/ePA0bNszrAQEAACpiucjs2rVLrVq1kiTNmzdPnTp10ttvv63Zs2frgw8+8HY+AACAClkuMsYYOZ1OSdJnn32mO+64Q5KUkJCgo0ePejcdAABAJSwXmZSUFE2cOFFvvvmmVqxYoe7du0uS9u3bp9jYWK8HBAAAqIjlIpOdna0NGzZo4MCBGjVqlJo0aSJJev/999W+fXuvBwQAAKhIkNUNrrvuOrenls579tlnFRgY6JVQAAAAnrikz5EpKCjQa6+9ppEjR+r48eOSpO3btys/P9+r4QAAACpj+YzMli1b1KVLF0VFRWn//v165JFHFB0drfnz5+vAgQP65z//WRU5AQAAyrB8RiYzM1NpaWnavXu3atSo4Rq/4447tHLlSq+GAwAAqIzlIrN27VoNGDCgzPhVV12lvLw8r4QCAADwhOUiExoaqqKiojLju3btUt26db0SCgAAwBOWi8xdd92l8ePH6+zZs5Ikh8OhAwcOaPjw4brnnnu8HhAAAKAilovM888/r+LiYsXExOinn37SzTffrCZNmig8PFyTJk2qiowAAADlsvzUUmRkpHJycvTll19q8+bNKi4u1vXXX6+uXbtWRT4AAIAKWS4y53Xo0EEdOnTwZhYAAABLLF9aysjI0PTp08uMv/TSSxo8eLA3MgEAAHjEcpH54IMPyj0T0759e73//vteCQUAAOAJy0Xm2LFjioyMLDMeERGho0ePeiUUAACAJywXmSZNmmjx4sVlxhctWqSrr77aK6EAAAA8Yflm38zMTA0cOFA//vijfve730mScnNz9fzzzys7O9vb+QAAACpkucj069dPJSUlmjRpkiZMmCBJatSokV5++WU99NBDXg8IAABQkUt6/Pqxxx7TY489ph9//FFhYWGqWbOmt3MBAABc1CV/jowkvlsJAAD4lOWbfY8cOaIHH3xQ8fHxCgoKUmBgoNsLAACgulg+I9O3b18dOHBAo0ePVr169eRwOKoiFwAAwEVZLjJffPGFPv/8c7Vq1aoK4gAAAHjO8qWlhIQEGWOqIgsAAIAllotMdna2RowYof3791dBHAAAAM9ZvrTUq1cvnT59Wo0bN9YVV1yh4OBgt+XHjx/3WjgAAIDKWC4yfHovAADwF5aLTGpqalXkAAAAsMzyPTKS9N133+mpp57SAw88oPz8fEn//dLIbdu2eTUcAABAZSwXmRUrVqhFixZavXq15s+fr+LiYknS5s2bNXbsWK8HBAAAqIjlIjNixAhNnDhROTk5CgkJcY3/7ne/09dff+3VcAAAAJWxXGS2bt2qP/7xj2XGY2JidPToUa+EAgAA8ITlIhMVFaXDhw+XGd+4caOuuuoqr4QCAADwhOUi07t3bw0fPlx5eXlyOBxyOp368ssv9de//lUPPfRQVWQEAAAol+UiM3nyZDVt2lQJCQkqLi5Ws2bN1KlTJ7Vv315PPfVUVWQEAAAol6XPkTHGKC8vT9OnT9eYMWO0detWFRcXq3Xr1kpKSqqqjAAAAOWyXGSaNGmibdu2KSkpSQkJCVWVCwAA4KIsXVoKCAhQUlKSjh07VlV5AAAAPGb5HpkpU6Zo6NCh+uabb6oiDwAAgMcsf9fSQw89pNOnT6tly5YKCQlRWFiY23K+/RoAAFQXvv0aAADYlqUic/bsWa1YsUKjR49WYmJiVWUCAADwiKV7ZIKDg/XBBx9UVRYAAABLLN/s27NnTy1cuLAKogAAAFhj+R6ZpKQkjR8/Xl9++aXatGmjK6+80m15RkaG18IBAABUxnKRef311xUVFaX169dr/fr1bsscDgdFBgAAVBvLRWbfvn1VkaNCP/zwg4YPH65Fixbp9OnTatKkiWbNmqWUlJRqzQEAAPyP5SJTnU6cOKEOHTqoc+fOWrRokerWravdu3erVq1avo4GAAD8gOUi069fv0qXv/HGG5cc5kLPPPOMEhISNGvWLNcYj30DAIDzLD+1dOLECbdXfn6+li1bpvnz56ugoMCr4f79738rJSVF9913n2JiYtS6dWu9+uqrlW5TUlKioqIitxcAALg8WT4js2DBgjJjTqdTjz32mBo3buyVUOft3btXL7/8sjIzM/Xkk09q7dq1ysjIUEhIiFJTU8vdJisrS+PGjfNqDgAA4J8cxhjjjR3t3LlTt9xyiw4fPuyN3UmSQkJClJKSoq+++so1lpGRobVr12rVqlXlblNSUqKSkhLX+6KiIiUkJKiwsFARERFeyyZJjUZ84tX9AQBgN/undK+S/RYVFSkyMvKiv78tX1qqyHfffadz5855a3eSpHr16qlZs2ZuY9dee60OHDhQ4TahoaGKiIhwewEAgMuT5UtLmZmZbu+NMTp8+LA++eSTCi/3XKoOHTpo586dbmO7du1Sw4YNvXocAABgT5aLzMaNG93eBwQEqG7dunr++ecv+kSTVUOGDFH79u01efJk3X///VqzZo1mzpypmTNnevU4AADAniwXmeXLl1dFjnLdcMMNWrBggUaOHKnx48crMTFR2dnZ6tOnT7VlAAAA/uuSPtn33LlzSkpKchvfvXu3goOD1ahRI29lkyT94Q9/0B/+8Aev7hMAAFweLN/s27dvX7eniM5bvXq1+vbt641MAAAAHrFcZDZu3KgOHTqUGb/pppu0adMmb2QCAADwiOUi43A4dPLkyTLjhYWFKi0t9UooAAAAT1guMp06dVJWVpZbaSktLVVWVpY6duzo1XAAAACVsXyz7zPPPKNOnTrpmmuu0W9/+1tJ0ueff66ioiItW7bM6wEBAAAqYvmMTLNmzbRlyxbdf//9ys/P18mTJ/XQQw/p22+/VXJyclVkBAAAKJflMzKSFB8fr8mTJ3s7CwAAgCWWz8jMmjVL8+bNKzM+b948zZkzxyuhAAAAPGG5yGRlZalOnTplxmNiYjhLAwAAqpXlInPgwAElJiaWGW/YsGGl30oNAADgbZaLTExMjLZs2VJmfPPmzapdu7ZXQgEAAHjCcpF54IEHlJGRoeXLl6u0tFSlpaVatmyZBg0apN69e1dFRgAAgHJZfmppwoQJ2r9/v7p06aKgoP9u7nQ69dBDD3GPDAAAqFaWi0xISIjeffddTZgwQZs3b1ZYWJhatGihhg0bVkU+AACACl3S58hIUnR0tDp37lzuE0wAAADVwdI9MgUFBUpPT1edOnUUGxur2NhY1alTRwMHDlRBQUEVRQQAACifx2dkjh8/rnbt2umHH35Qnz59dO2110qStm/frtmzZys3N1dfffWVatWqVWVhAQAAfsnjIjN+/HiFhITou+++U2xsbJllv//97zV+/Hi98MILXg8JAABQHo8vLS1cuFDPPfdcmRIjSXFxcZo6daoWLFjg1XAAAACV8bjIHD58WM2bN69weXJysvLy8rwSCgAAwBMeF5k6depo//79FS7ft2+foqOjvZEJAADAIx4XmW7dumnUqFE6c+ZMmWUlJSUaPXq0brvtNq+GAwAAqIylm31TUlKUlJSk9PR0NW3aVMYY7dixQ3//+99VUlKiN998syqzAgAAuPG4yNSvX1+rVq3S448/rpEjR8oYI0lyOBy69dZb9dJLLykhIaHKggIAAFzI0if7JiYmatGiRTpx4oR2794tSWrSpAn3xgAAAJ+4pK8oqFWrltq2bevtLAAAAJZY+ooCAAAAf0KRAQAAtkWRAQAAtuVRkbn++ut14sQJSf99DPv06dNVGgoAAMATHhWZHTt26NSpU5KkcePGqbi4uEpDAQAAeMKjp5ZatWqltLQ0dezYUcYYPffcc6pZs2a5644ZM8arAQEAACriUZGZPXu2xo4dq48//lgOh0OLFi1SUFDZTR0OB0UGAABUG4+KzDXXXKO5c+dKkgICApSbm6uYmJgqDQYAAHAxlj8Qz+l0VkUOAAAAyy7pk32/++47ZWdna8eOHZKkZs2aadCgQWrcuLFXwwEAAFTG8ufILFmyRM2aNdOaNWt03XXX6brrrtPq1avVvHlz5eTkVEVGAACAclk+IzNixAgNGTJEU6ZMKTM+fPhw3XrrrV4LBwAAUBnLZ2R27Nih/v37lxnv16+ftm/f7pVQAAAAnrBcZOrWratNmzaVGd+0aRNPMgEAgGpl+dLSI488okcffVR79+5V+/btJUlffvmlnnnmGWVmZno9IAAAQEUsF5nRo0crPDxczz//vEaOHClJio+P19NPP62MjAyvBwQAAKiI5SLjcDg0ZMgQDRkyRCdPnpQkhYeHez0YAADAxVzS58icR4EBAAC+ZPlmXwAAAH9BkQEAALZFkQEAALZlqcicPXtWXbp00e7du6sqDwAAgMcsFZng4GBt2bKlqrIAAABYYvnS0p/+9Ce9/vrrVZEFAADAEsuPX587d05vvPGGPvvsM7Vp00ZXXnml2/Jp06Z5LRwAAEBlLBeZb775Rtdff70kadeuXW7LHA6Hd1IBAAB4wHKRWb58eVXkAAAAsOySH7/es2ePlixZop9++kmSZIzxWigAAABPWC4yx44dU5cuXfSb3/xGd9xxhw4fPixJ6t+/v5544gmvBwQAAKiI5SIzZMgQBQcH68CBA7riiitc47169dLixYu9Gg4AAKAylu+RWbp0qZYsWaL69eu7jSclJen777/3WjAAAICLsXxG5tSpU25nYs47fvy4QkNDvRIKAADAE5aLzG9/+1v985//dL13OBxyOp2aOnWqOnfu7NVwAAAAlbF8aWnq1Knq0qWL1q1bpzNnzmjYsGHatm2bjh8/ri+//LIqMgIAAJTL8hmZ5ORk7dq1Sx07dlSPHj106tQp3X333dq4caMaN25cFRldpkyZIofDocGDB1fpcQAAgD1YPiMjSZGRkRo1apS3s1Rq7dq1+sc//qHrrruuWo8LAAD81yUVmRMnTuj111/Xjh07JEnNmjVTWlqaoqOjvRruvOLiYvXp00evvvqqJk6cWOm6JSUlKikpcb0vKiqqkkwAAMD3LF9aWrlypRo1aqTp06frxIkTOnHihKZPn67ExEStXLmyKjIqPT1d3bt3V9euXS+6blZWliIjI12vhISEKskEAAB8z/IZmfT0dPXq1Usvv/yyAgMDJUmlpaV6/PHHlZ6erq1bt3o14Ny5c7VhwwatXbvWo/VHjhypzMxM1/uioiLKDAAAlynLRWbPnj16//33XSVGkgIDA5WZmen2WLY3HDx4UIMGDVJOTo5q1Kjh0TahoaF8ng0AAP8jLF9auv766133xvzSjh071LJlS6+EOm/9+vXKz8/X9ddfr6CgIAUFBWnFihWaPn26goKCVFpa6tXjAQAAe/HojMyWLVtcf87IyNCgQYO0Z88e3XTTTZKkr7/+WjNmzNCUKVO8Gq5Lly5lLlWlpaWpadOmGj58uNtZIQAA8L/HoyLTqlUrORwOGWNcY8OGDSuz3v/93/+pV69eXgsXHh6u5ORkt7Err7xStWvXLjMOAAD+93hUZPbt21fVOQAAACzzqMg0bNiwqnN47D//+Y+vIwAAAD9xSR+Id+jQIX3xxRfKz8+X0+l0W5aRkeGVYAAAABdjucjMnj1bAwYMUEhIiGrXri2Hw+Fa5nA4KDIAAKDaWC4yo0eP1pgxYzRy5EgFBFh+ehsAAMBrLDeR06dPq3fv3pQYAADgc5bbSP/+/TVv3ryqyAIAAGCJ5UtLWVlZ+sMf/qDFixerRYsWCg4Odls+bdo0r4UDAACozCUVmSVLluiaa66RpDI3+wIAAFQXy0Xm+eef1xtvvKG+fftWQRwAAADPWb5HJjQ0VB06dKiKLAAAAJZYLjKDBg3Siy++WBVZAAAALLF8aWnNmjVatmyZPv74YzVv3rzMzb7z58/3WjgAAIDKWC4yUVFRuvvuu6siCwAAgCWWi8ysWbOqIgcAAIBlfDwvAACwLctnZBITEyv9vJi9e/f+qkAAAACeslxkBg8e7Pb+7Nmz2rhxoxYvXqyhQ4d6KxcAAMBFWS4ygwYNKnd8xowZWrdu3a8OBAAA4Cmv3SNz++2364MPPvDW7gAAAC7Ka0Xm/fffV3R0tLd2BwAAcFGWLy21bt3a7WZfY4zy8vL0448/6u9//7tXwwEAAFTGcpHp2bOn2/uAgADVrVtXt9xyi5o2beqtXAAAABdluciMHTu2KnIAAABYxgfiAQAA2/L4jExAQEClH4QnSQ6HQ+fOnfvVoQAAADzhcZFZsGBBhctWrVql6dOny+l0eiUUAACAJzwuMj169CgztnPnTo0YMUIfffSR+vTpo/Hjx3s1HAAAQGUu6R6ZQ4cO6ZFHHlGLFi107tw5bdq0SXPmzFHDhg29nQ8AAKBClopMYWGhhg8friZNmmjbtm3Kzc3VRx99pOTk5KrKBwAAUCGPLy1NnTpVzzzzjOLi4vTOO++Ue6kJAACgOjmMMcaTFQMCAhQWFqauXbsqMDCwwvXmz5/vtXDeUFRUpMjISBUWFioiIsKr+2404hOv7g8AALvZP6V7lezX09/fHp+Reeihhy76+DUAAEB18rjIzJ49uwpjAAAAWMcn+wIAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANuiyAAAANvy6yKTlZWlG264QeHh4YqJiVHPnj21c+dOX8cCAAB+wq+LzIoVK5Senq6vv/5aOTk5Onv2rH7/+9/r1KlTvo4GAAD8QJCvA1Rm8eLFbu9nz56tmJgYrV+/Xp06dfJRKgAA4C/8ushcqLCwUJIUHR1d4TolJSUqKSlxvS8qKqryXAAAwDf8+tLSLzmdTg0ePFgdOnRQcnJyhetlZWUpMjLS9UpISKjGlAAAoDrZpsikp6frm2++0dy5cytdb+TIkSosLHS9Dh48WE0JAQBAdbPFpaWBAwfq448/1sqVK1W/fv1K1w0NDVVoaGg1JQMAAL7k10XGGKO//OUvWrBggf7zn/8oMTHR15EAAIAf8esik56errffflsffvihwsPDlZeXJ0mKjIxUWFiYj9MBAABf8+t7ZF5++WUVFhbqlltuUb169Vyvd99919fRAACAH/DrMzLGGF9HAAAAfsyvz8gAAABUhiIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsiyIDAABsyxZFZsaMGWrUqJFq1KihG2+8UWvWrPF1JAAA4Af8vsi8++67yszM1NixY7Vhwwa1bNlS3bp1U35+vq+jAQAAH/P7IjNt2jQ98sgjSktLU7NmzfTKK6/oiiuu0BtvvOHraAAAwMeCfB2gMmfOnNH69es1cuRI11hAQIC6du2qVatWlbtNSUmJSkpKXO8LCwslSUVFRV7P5yw57fV9AgBgJ1Xx+/WX+zXGVLqeXxeZo0ePqrS0VLGxsW7jsbGx+vbbb8vdJisrS+PGjSsznpCQUCUZAQD4XxaZXbX7P3nypCIjIytc7tdF5lKMHDlSmZmZrvdOp1PHjx9X7dq15XA4vHacoqIiJSQk6ODBg4qIiPDaflE+5rv6MNfVh7muPsx19fHWXBtjdPLkScXHx1e6nl8XmTp16igwMFBHjhxxGz9y5Iji4uLK3SY0NFShoaFuY1FRUVUVUREREfxHUY2Y7+rDXFcf5rr6MNfVxxtzXdmZmPP8+mbfkJAQtWnTRrm5ua4xp9Op3NxctWvXzofJAACAP/DrMzKSlJmZqdTUVKWkpKht27bKzs7WqVOnlJaW5utoAADAx/y+yPTq1Us//vijxowZo7y8PLVq1UqLFy8ucwNwdQsNDdXYsWPLXMZC1WC+qw9zXX2Y6+rDXFef6p5rh7nYc00AAAB+yq/vkQEAAKgMRQYAANgWRQYAANgWRQYAANgWRQYAANgWReYSzZgxQ40aNVKNGjV04403as2aNb6OZHtZWVm64YYbFB4erpiYGPXs2VM7d+50W+fnn39Wenq6ateurZo1a+qee+4p88nPsG7KlClyOBwaPHiwa4y59p4ffvhBf/rTn1S7dm2FhYWpRYsWWrdunWu5MUZjxoxRvXr1FBYWpq5du2r37t0+TGxPpaWlGj16tBITExUWFqbGjRtrwoQJbl86yFxfmpUrV+rOO+9UfHy8HA6HFi5c6Lbck3k9fvy4+vTpo4iICEVFRal///4qLi7+9eEMLJs7d64JCQkxb7zxhtm2bZt55JFHTFRUlDly5Iivo9lat27dzKxZs8w333xjNm3aZO644w7ToEEDU1xc7Frnz3/+s0lISDC5ublm3bp15qabbjLt27f3YWr7W7NmjWnUqJG57rrrzKBBg1zjzLV3HD9+3DRs2ND07dvXrF692uzdu9csWbLE7Nmzx7XOlClTTGRkpFm4cKHZvHmzueuuu0xiYqL56aeffJjcfiZNmmRq165tPv74Y7Nv3z4zb948U7NmTfO3v/3NtQ5zfWk+/fRTM2rUKDN//nwjySxYsMBtuSfzetttt5mWLVuar7/+2nz++eemSZMm5oEHHvjV2Sgyl6Bt27YmPT3d9b60tNTEx8ebrKwsH6a6/OTn5xtJZsWKFcYYYwoKCkxwcLCZN2+ea50dO3YYSWbVqlW+imlrJ0+eNElJSSYnJ8fcfPPNriLDXHvP8OHDTceOHStc7nQ6TVxcnHn22WddYwUFBSY0NNS888471RHxstG9e3fTr18/t7G7777b9OnTxxjDXHvLhUXGk3ndvn27kWTWrl3rWmfRokXG4XCYH3744Vfl4dKSRWfOnNH69evVtWtX11hAQIC6du2qVatW+TDZ5aewsFCSFB0dLUlav369zp496zb3TZs2VYMGDZj7S5Senq7u3bu7zanEXHvTv//9b6WkpOi+++5TTEyMWrdurVdffdW1fN++fcrLy3Ob68jISN14443MtUXt27dXbm6udu3aJUnavHmzvvjiC91+++2SmOuq4sm8rlq1SlFRUUpJSXGt07VrVwUEBGj16tW/6vh+/xUF/ubo0aMqLS0t8xUJsbGx+vbbb32U6vLjdDo1ePBgdejQQcnJyZKkvLw8hYSElPk289jYWOXl5fkgpb3NnTtXGzZs0Nq1a8ssY669Z+/evXr55ZeVmZmpJ598UmvXrlVGRoZCQkKUmprqms/y/k5hrq0ZMWKEioqK1LRpUwUGBqq0tFSTJk1Snz59JIm5riKezGteXp5iYmLclgcFBSk6OvpXzz1FBn4pPT1d33zzjb744gtfR7ksHTx4UIMGDVJOTo5q1Kjh6ziXNafTqZSUFE2ePFmS1Lp1a33zzTd65ZVXlJqa6uN0l5f33ntPb731lt5++201b95cmzZt0uDBgxUfH89cX8a4tGRRnTp1FBgYWObpjSNHjiguLs5HqS4vAwcO1Mcff6zly5erfv36rvG4uDidOXNGBQUFbusz99atX79e+fn5uv766xUUFKSgoCCtWLFC06dPV1BQkGJjY5lrL6lXr56aNWvmNnbttdfqwIEDkuSaT/5O+fWGDh2qESNGqHfv3mrRooUefPBBDRkyRFlZWZKY66riybzGxcUpPz/fbfm5c+d0/PjxXz33FBmLQkJC1KZNG+Xm5rrGnE6ncnNz1a5dOx8msz9jjAYOHKgFCxZo2bJlSkxMdFvepk0bBQcHu839zp07deDAAebeoi5dumjr1q3atGmT65WSkqI+ffq4/sxce0eHDh3KfIzArl271LBhQ0lSYmKi4uLi3Oa6qKhIq1evZq4tOn36tAIC3H+tBQYGyul0SmKuq4on89quXTsVFBRo/fr1rnWWLVsmp9OpG2+88dcF+FW3Cv+Pmjt3rgkNDTWzZ88227dvN48++qiJiooyeXl5vo5ma4899piJjIw0//nPf8zhw4ddr9OnT7vW+fOf/2waNGhgli1bZtatW2fatWtn2rVr58PUl49fPrVkDHPtLWvWrDFBQUFm0qRJZvfu3eatt94yV1xxhfnXv/7lWmfKlCkmKirKfPjhh2bLli2mR48ePBJ8CVJTU81VV13levx6/vz5pk6dOmbYsGGudZjrS3Py5EmzceNGs3HjRiPJTJs2zWzcuNF8//33xhjP5vW2224zrVu3NqtXrzZffPGFSUpK4vFrX3rxxRdNgwYNTEhIiGnbtq35+uuvfR3J9iSV+5o1a5ZrnZ9++sk8/vjjplatWuaKK64wf/zjH83hw4d9F/oycmGRYa6956OPPjLJyckmNDTUNG3a1MycOdNtudPpNKNHjzaxsbEmNDTUdOnSxezcudNHae2rqKjIDBo0yDRo0MDUqFHDXH311WbUqFGmpKTEtQ5zfWmWL19e7t/PqampxhjP5vXYsWPmgQceMDVr1jQREREmLS3NnDx58ldncxjzi488BAAAsBHukQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALZFkQEAALb1/wFnxwmdgqnI2AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test_dispersion.plots.all()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, one may also export the ellipses to a ``.kml`` file so it can be easily visualized in Google Earth\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/phmb/github/RocketPy/venv312/lib/python3.12/site-packages/numpy/lib/function_base.py:520: RuntimeWarning: Mean of empty slice.\n", + " avg = a.mean(axis, **keepdims_kw)\n", + "/home/phmb/github/RocketPy/venv312/lib/python3.12/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide\n", + " ret = um.true_divide(\n", + "/home/phmb/github/RocketPy/rocketpy/tools.py:396: RuntimeWarning: Degrees of freedom <= 0 for slice\n", + " covariance_matrix = np.cov(list_x, list_y)\n", + "/home/phmb/github/RocketPy/venv312/lib/python3.12/site-packages/numpy/lib/function_base.py:2748: RuntimeWarning: divide by zero encountered in divide\n", + " c *= np.true_divide(1, fact)\n", + "/home/phmb/github/RocketPy/venv312/lib/python3.12/site-packages/numpy/lib/function_base.py:2748: RuntimeWarning: invalid value encountered in multiply\n", + " c *= np.true_divide(1, fact)\n", + "/home/phmb/github/RocketPy/venv312/lib/python3.12/site-packages/numpy/core/fromnumeric.py:3504: RuntimeWarning: Mean of empty slice.\n", + " return _methods._mean(a, axis=axis, dtype=dtype,\n", + "/home/phmb/github/RocketPy/venv312/lib/python3.12/site-packages/numpy/core/_methods.py:129: RuntimeWarning: invalid value encountered in scalar divide\n", + " ret = ret.dtype.type(ret / rcount)\n" + ] + } + ], + "source": [ + "test_dispersion.export_ellipses_to_kml(\n", + " filename=\"monte_carlo_analysis_outputs/monte_carlo_class_example.kml\",\n", + " origin_lat=env.latitude,\n", + " origin_lon=env.longitude,\n", + " type=\"impact\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Custom exports using callback functions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have shown, so far, how to perform to use the `MonteCarlo` class and visualize its results. By default, some variables exported to the output files, such as *apogee* and *x_impact*. The `export_list` argument provides a simplified way for the user to export additional variables listed in the documentation, such as *inclination* and *heading*. \n", + "\n", + "There are applications in which you might need to extract more information in the results than the `export_list` argument can handle. To that end, the `MonteCarlo` class has a `data_collector` argument which allows you customize further the output of the simulation.\n", + "\n", + "To exemplify its use, we show how to export the *date* of the environment used in the simulation together with the *average reynolds number* along with the default variables." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will use the `stochastic_env`, `stochastic_rocket` and `stochastic_flight` objects previously defined, and only change the `MonteCarlo` object. First, we need to define our customized data collector." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "\n", + "# Defining custom callback functions\n", + "def get_average_reynolds_number(flight):\n", + " reynold_number_list = flight.reynolds_number(flight.time)\n", + " average_reynolds_number = np.mean(reynold_number_list)\n", + " return average_reynolds_number\n", + "\n", + "\n", + "def get_date(flight):\n", + " return flight.env.date\n", + "\n", + "\n", + "custom_data_collector = {\n", + " \"average_reynolds_number\": get_average_reynolds_number,\n", + " \"date\": get_date,\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `data_collector` must be a dictionary whose keys are the names of the variables we want to export and the values are callback functions (python callables) that compute these variable values. Notice how we can compute complex expressions in this function and just export the result. For instance, the *get_average_reynolds_number* calls the `flight.reynolds_number` method for each value in `flight.time` list and computes the average value using numpy's `mean`. The *date* variable is straightforward.\n", + "\n", + "After we define the data collector, we pass it as an argument to the `MonteCarlo` class." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following input file was imported: monte_carlo_analysis_outputs/monte_carlo_class_example_customized.inputs.txt\n", + "A total of 0 simulations results were loaded from the following output file: monte_carlo_analysis_outputs/monte_carlo_class_example_customized.outputs.txt\n", + "\n", + "The following error file was imported: monte_carlo_analysis_outputs/monte_carlo_class_example_customized.errors.txt \n" + ] + } + ], + "source": [ + "test_dispersion = MonteCarlo(\n", + " filename=\"monte_carlo_analysis_outputs/monte_carlo_class_example_customized\",\n", + " environment=stochastic_env,\n", + " rocket=stochastic_rocket,\n", + " flight=stochastic_flight,\n", + " export_list=[\"apogee\", \"apogee_time\", \"x_impact\"],\n", + " data_collector=custom_data_collector,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting Monte Carlo analysis \n", + "Current iteration: 000010 | Average Time per Iteration: 1.247 s | Estimated time left: 0 s \n", + "Completed 10 iterations. In total, 10 simulations are exported.\n", + "Total wall time: 12.5 s \n", + "Results saved to monte_carlo_analysis_outputs/monte_carlo_class_example_customized.outputs.txt\n" + ] + } + ], + "source": [ + "test_dispersion.simulate(number_of_simulations=10, append=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Monte Carlo Simulation by RocketPy\n", + "Data Source: monte_carlo_analysis_outputs/monte_carlo_class_example_customized\n", + "Number of simulations: 10\n", + "Results: \n", + "\n", + " Parameter Mean Std. Dev.\n", + "------------------------------------------------------------\n", + " apogee 3249.772 802.777\n", + " apogee_time 24.799 3.043\n", + " x_impact 174.893 352.281\n", + " index 5.500 2.872\n", + " average_reynolds_number 1116797.986 201541.304\n", + " date 514.750 871.366\n" + ] + } + ], + "source": [ + "test_dispersion.prints.all()" + ] + } + ], + "metadata": { + "hide_input": false, + "kernelspec": { + "display_name": "venv312", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/rocketpy/simulation/monte_carlo.py b/rocketpy/simulation/monte_carlo.py index c8c182d28..5740c778d 100644 --- a/rocketpy/simulation/monte_carlo.py +++ b/rocketpy/simulation/monte_carlo.py @@ -15,7 +15,6 @@ import json import os -import queue import traceback import warnings from pathlib import Path @@ -270,11 +269,14 @@ def __run_in_serial(self): while sim_monitor.keep_simulating(): sim_monitor.increment() - inputs_dict, outputs_dict = self.__run_single_simulation( - sim_monitor.count, - ) + flight = self.__run_single_simulation() + inputs_json = self.__evaluate_flight_inputs(sim_monitor.count) + outputs_json = self.__evaluate_flight_outputs(flight, sim_monitor.count) - self.__export_flight_data(inputs_dict, outputs_dict) + with open(self.input_file, "a", encoding="utf-8") as f: + f.write(inputs_json) + with open(self.output_file, "a", encoding="utf-8") as f: + f.write(outputs_json) sim_monitor.print_update_status(sim_monitor.count) @@ -282,15 +284,13 @@ def __run_in_serial(self): except KeyboardInterrupt: _SimMonitor.reprint("Keyboard Interrupt, files saved.") - with open(self._error_file, "a", encoding="utf-8") as file: - file.write(inputs_dict) + with open(self._error_file, "a", encoding="utf-8") as f: + f.write(inputs_json) except Exception as error: - _SimMonitor.reprint( - f"Error on iteration {self.__sim_monitor.count}: {error}" - ) - with open(self._error_file, "a", encoding="utf-8") as file: - file.write(inputs_dict) + _SimMonitor.reprint(f"Error on iteration {sim_monitor.count}: {error}") + with open(self._error_file, "a", encoding="utf-8") as f: + f.write(inputs_json) raise error # pylint: disable=too-many-statements @@ -319,11 +319,8 @@ def __run_in_parallel(self, n_workers=None): multiprocess, managers = _import_multiprocess() with _create_multiprocess_manager(multiprocess, managers) as manager: - export_queue = manager.Queue() mutex = manager.Lock() - consumer_stop_event = manager.Event() simulation_error_event = manager.Event() - sim_monitor = manager._SimMonitor( initial_count=self._initial_sim_idx, n_simulations=self.number_of_simulations, @@ -331,13 +328,7 @@ def __run_in_parallel(self, n_workers=None): ) processes = [] - seeds = np.random.SeedSequence().spawn(n_workers - 1) - - sim_consumer = multiprocess.Process( - target=self.__sim_consumer, - args=(export_queue, mutex, consumer_stop_event, simulation_error_event), - ) - sim_consumer.start() + seeds = np.random.SeedSequence().spawn(n_workers) for seed in seeds: sim_producer = multiprocess.Process( @@ -345,7 +336,6 @@ def __run_in_parallel(self, n_workers=None): args=( seed, sim_monitor, - export_queue, mutex, simulation_error_event, ), @@ -357,9 +347,6 @@ def __run_in_parallel(self, n_workers=None): for sim_producer in processes: sim_producer.join() - consumer_stop_event.set() - sim_consumer.join() - # Handle error from the child processes if simulation_error_event.is_set(): raise RuntimeError( @@ -378,12 +365,10 @@ def __run_in_parallel(self, n_workers=None): for sim_producer in processes: sim_producer.join() - sim_consumer.join() - if not isinstance(error, KeyboardInterrupt): raise error - def __sim_producer(self, seed, sim_monitor, export_queue, mutex, error_event): + def __sim_producer(self, seed, sim_monitor, mutex, error_event): """Simulation producer to be used in parallel by multiprocessing. Parameters @@ -392,8 +377,6 @@ def __sim_producer(self, seed, sim_monitor, export_queue, mutex, error_event): The seed to set the random number generator. sim_monitor : _SimMonitor The simulation monitor object to keep track of the simulations. - export_queue : multiprocess.Queue - The queue to export the results. mutex : multiprocess.Lock The mutex to lock access to critical regions. error_event : multiprocess.Event @@ -408,90 +391,50 @@ def __sim_producer(self, seed, sim_monitor, export_queue, mutex, error_event): while sim_monitor.keep_simulating(): sim_idx = sim_monitor.increment() - 1 - inputs_dict, outputs_dict = self.__run_single_simulation(sim_idx) - - export_queue.put((inputs_dict, outputs_dict)) + flight = self.__run_single_simulation() + inputs_json = self.__evaluate_flight_inputs(sim_idx) + outputs_json = self.__evaluate_flight_outputs(flight, sim_idx) try: mutex.acquire() - sim_monitor.print_update_status(sim_idx) - if error_event.is_set(): sim_monitor.reprint( "Simulation Interrupt, files from simulation " f"{sim_idx} saved." ) - with open(self.error_file, "a", encoding="utf-8") as file: - file.write(inputs_dict) + with open(self.error_file, "a", encoding="utf-8") as f: + f.write(inputs_json) break + + with open(self.input_file, "a", encoding="utf-8") as f: + f.write(inputs_json) + with open(self.output_file, "a", encoding="utf-8") as f: + f.write(outputs_json) + + sim_monitor.print_update_status(sim_idx) finally: mutex.release() except Exception: # pylint: disable=broad-except mutex.acquire() - with open(self.error_file, "a", encoding="utf-8") as file: - file.write(inputs_dict) + with open(self.error_file, "a", encoding="utf-8") as f: + f.write(inputs_json) sim_monitor.reprint(f"Error on iteration {sim_idx}:") sim_monitor.reprint(traceback.format_exc()) error_event.set() mutex.release() - def __sim_consumer( - self, - export_queue, - mutex, - stop_event, - error_event, - ): - """Simulation consumer to be used in parallel by multiprocessing. - It consumes the results from the queue and writes them to the files. - If no results are received for 30 seconds, a TimeoutError is raised. - - Parameters - ---------- - export_queue : multiprocess.Queue - The queue to export the results. - mutex : multiprocess.Lock - The mutex to lock access to critical regions. - stop_event : multiprocess.Event - The event indicating that the simulations are done. - error_event : multiprocess.Event - The event indicating that an error occurred during the simulation. - """ - trials = 0 - - while not error_event.is_set(): - try: - mutex.acquire() - inputs_dict, outputs_dict = export_queue.get(timeout=3) - - self.__export_flight_data(inputs_dict, outputs_dict) - - except queue.Empty as exc: - if stop_event.is_set(): - break - - trials += 1 - - if trials > 10: - raise TimeoutError( - "No simulations were received for 30 seconds." - ) from exc - - finally: - mutex.release() - - def __run_single_simulation(self, sim_idx): + def __run_single_simulation(self): """Runs a single simulation and returns the inputs and outputs. - Parameters - ---------- - sim_idx : int - The index of the simulation. + Returns + ------- + Flight + The flight object of the simulation. """ - monte_carlo_flight = Flight( + return Flight( rocket=self.rocket.create_object(), environment=self.environment.create_object(), rail_length=self.flight._randomize_rail_length(), @@ -501,6 +444,19 @@ def __run_single_simulation(self, sim_idx): terminate_on_apogee=self.flight.terminate_on_apogee, ) + def __evaluate_flight_inputs(self, sim_idx): + """Evaluates the inputs of a single flight simulation. + + Parameters + ---------- + sim_idx : int + The index of the simulation. + + Returns + ------- + str + A JSON compatible dictionary with the inputs of the simulation. + """ inputs_dict = dict( item for d in [ @@ -511,37 +467,41 @@ def __run_single_simulation(self, sim_idx): for item in d.items() ) inputs_dict["index"] = sim_idx + return json.dumps(inputs_dict, cls=RocketPyEncoder) + "\n" - outputs_dict = { - export_item: getattr(monte_carlo_flight, export_item) - for export_item in self.export_list - } - outputs_dict["index"] = sim_idx - - encoded_inputs = json.dumps(inputs_dict, cls=RocketPyEncoder) + "\n" - encoded_outputs = json.dumps(outputs_dict, cls=RocketPyEncoder) + "\n" - - return encoded_inputs, encoded_outputs - - def __export_flight_data(self, inputs_dict, outputs_dict): - """ - Exports the flight data to the respective files. + def __evaluate_flight_outputs(self, flight, sim_idx): + """Evaluates the outputs of a single flight simulation. Parameters ---------- - inputs_dict : dict - Dictionary with the inputs of the simulation. - outputs_dict : dict - Dictionary with the outputs of the simulation. + flight : Flight + The flight object to be evaluated. + sim_idx : int + The index of the simulation. Returns ------- - None + str + A JSON compatible dictionary with the outputs of the simulation. """ - with open(self.input_file, "a", encoding="utf-8") as file: - file.write(inputs_dict) - with open(self.output_file, "a", encoding="utf-8") as file: - file.write(outputs_dict) + outputs_dict = { + export_item: getattr(flight, export_item) + for export_item in self.export_list + } + outputs_dict["index"] = sim_idx + + if self.data_collector is not None: + additional_exports = {} + for key, callback in self.data_collector.items(): + try: + additional_exports[key] = callback(flight) + except Exception as e: + raise ValueError( + f"An error was encountered running 'data_collector' callback {key}. " + ) from e + outputs_dict = outputs_dict | additional_exports + + return json.dumps(outputs_dict, cls=RocketPyEncoder) + "\n" def __terminate_simulation(self): """ @@ -692,7 +652,7 @@ def _check_data_collector(self, data_collector): f"Invalid value in 'data_collector' for key '{key}'! " "Values must be python callables (callback functions)." ) - + @property def input_file(self): """String representing the filepath of the input file"""