From e557e175fb8afca837e3a6f1ed25a8fbde1f931c Mon Sep 17 00:00:00 2001 From: aZira371 Date: Tue, 3 Dec 2024 22:56:18 +0000 Subject: [PATCH 01/56] DRAFT: for ENH/3-dof-simulation (See #655) ENH: adds 3 DOF simulation capability to rocketpy.Flight. *ENH: added "u_dot_3dof" for "solid_propulsion" mode *ENH: adding "u_dot_generalized_3dof" for "standard" mode (still incomplete) *ENH: new parameter "simulation_mode" for swtiching between 3 dof and 6 dof *ENH: updated conditions for "__init_equations_of_motion" *ENH: 2 new example files have been created to test 3 dof model "test_bella_lui_flight_sim" and "test_camoes_flight_sim" --- docs/examples/test_bella_lui_flight_sim.ipynb | 1552 +++++++++++++++++ docs/examples/test_camoes_flight_sim.ipynb | 847 +++++++++ rocketpy/simulation/flight.py | 439 ++++- 3 files changed, 2837 insertions(+), 1 deletion(-) create mode 100644 docs/examples/test_bella_lui_flight_sim.ipynb create mode 100644 docs/examples/test_camoes_flight_sim.ipynb diff --git a/docs/examples/test_bella_lui_flight_sim.ipynb b/docs/examples/test_bella_lui_flight_sim.ipynb new file mode 100644 index 000000000..e8a5b2ffb --- /dev/null +++ b/docs/examples/test_bella_lui_flight_sim.ipynb @@ -0,0 +1,1552 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bella Lui - EPFL - 2020\n", + "\n", + "Bella Lui Kaltbrunn Mission from ERT (EPFL Rocket Team)\n", + "Permission to use flight data given by Antoine Scardigli, 2020\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "# Importing libraries\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.signal import savgol_filter\n", + "\n", + "from rocketpy import Environment, Flight, Function, Rocket, SolidMotor" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "'seaborn-v0_8-dark-palette' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:127\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m rc \u001b[38;5;241m=\u001b[39m \u001b[43mrc_params_from_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstyle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_default_template\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:852\u001b[0m, in \u001b[0;36mrc_params_from_file\u001b[1;34m(fname, fail_on_error, use_default_template)\u001b[0m\n\u001b[0;32m 838\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 839\u001b[0m \u001b[38;5;124;03mConstruct a `RcParams` from file *fname*.\u001b[39;00m\n\u001b[0;32m 840\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 850\u001b[0m \u001b[38;5;124;03m parameters specified in the file. (Useful for updating dicts.)\u001b[39;00m\n\u001b[0;32m 851\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 852\u001b[0m config_from_file \u001b[38;5;241m=\u001b[39m \u001b[43m_rc_params_in_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfail_on_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfail_on_error\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 854\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m use_default_template:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:778\u001b[0m, in \u001b[0;36m_rc_params_in_file\u001b[1;34m(fname, transform, fail_on_error)\u001b[0m\n\u001b[0;32m 777\u001b[0m rc_temp \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m--> 778\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _open_file_or_url(fname) \u001b[38;5;28;01mas\u001b[39;00m fd:\n\u001b[0;32m 779\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\contextlib.py:117\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 117\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:755\u001b[0m, in \u001b[0;36m_open_file_or_url\u001b[1;34m(fname)\u001b[0m\n\u001b[0;32m 754\u001b[0m encoding \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 755\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 756\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m f\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'seaborn-v0_8-dark-palette'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[48], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstyle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43muse\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseaborn-v0_8-dark-palette\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:130\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m--> 130\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[0;32m 131\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m not found in the style library and input is not a \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 132\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalid URL or path; see `style.available` for list of \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mavailable styles\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(style)) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n", + "\u001b[1;31mOSError\u001b[0m: 'seaborn-v0_8-dark-palette' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles" + ] + } + ], + "source": [ + "plt.style.use(\"seaborn-v0_8-dark-palette\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## RocketPy Simulation\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define a dictionary with the inputs for the simulation\n" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "parameters = {\n", + " # Mass Details\n", + " \"rocket_mass\": (18.227 - 0.001, 0.010), # propellant mass = 1.373\n", + " # propulsion details\n", + " \"impulse\": (2157, 0.03 * 2157),\n", + " \"burn_time\": (2.43, 0.1),\n", + " \"nozzle_radius\": (44.45 / 1000, 0.001),\n", + " \"throat_radius\": (21.4376 / 1000, 0.001),\n", + " \"grain_separation\": (3 / 1000, 1 / 1000),\n", + " \"grain_density\": (782.4, 30),\n", + " \"grain_outer_radius\": (85.598 / 2000, 0.001),\n", + " \"grain_initial_inner_radius\": (33.147 / 1000, 0.002),\n", + " \"grain_initial_height\": (152.4 / 1000, 0.001),\n", + " # Aerodynamic Details\n", + " \"inertia_i\": (0.78267, 0.03 * 0.78267),\n", + " \"inertia_z\": (0.064244, 0.03 * 0.064244),\n", + " \"radius\": (156 / 2000, 0.001),\n", + " \"distance_rocket_nozzle\": (-1.1356, 0.100),\n", + " \"distance_rocket_propellant\": (-1, 0.100),\n", + " \"power_off_drag\": (1, 0.05),\n", + " \"power_on_drag\": (1, 0.05),\n", + " \"nose_length\": (0.242, 0.001),\n", + " \"nose_distance_to_cm\": (1.3, 0.100),\n", + " \"fin_span\": (0.200, 0.001),\n", + " \"fin_root_chord\": (0.280, 0.001),\n", + " \"fin_tip_chord\": (0.125, 0.001),\n", + " \"fin_distance_to_cm\": (-0.75, 0.100),\n", + " \"tail_top_radius\": (156 / 2000, 0.001),\n", + " \"tail_bottom_radius\": (135 / 2000, 0.001),\n", + " \"tail_length\": (0.050, 0.001),\n", + " \"tail_distance_to_cm\": (-1.0856, 0.001),\n", + " # Launch and Environment Details\n", + " \"wind_direction\": (0, 5),\n", + " \"wind_speed\": (1, 0.05),\n", + " \"inclination\": (89, 1),\n", + " \"heading\": (45, 5),\n", + " \"rail_length\": (4.2, 0.001),\n", + " # Parachute Details\n", + " \"CdS_drogue\": (np.pi / 4, 0.20 * np.pi / 4),\n", + " \"lag_rec\": (1, 0.020),\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Environment\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define the `Environment` object\n" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "# Environment conditions\n", + "env = Environment(\n", + " gravity=9.81,\n", + " latitude=47.213476,\n", + " longitude=9.003336,\n", + " date=(2020, 2, 22, 13),\n", + " elevation=407,\n", + ")\n", + "\n", + "env.set_atmospheric_model(\n", + " type=\"Reanalysis\",\n", + " file=\"../../data/weather/bella_lui_weather_data_ERA5.nc\",\n", + " dictionary=\"ECMWF\",\n", + ")\n", + "\n", + "env.max_expected_height = 1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Visualize the `Environment` object\n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Gravity Details\n", + "\n", + "Acceleration of gravity at surface level: 9.8100 m/s²\n", + "Acceleration of gravity at 1.000 km (ASL): 9.8100 m/s²\n", + "\n", + "\n", + "Launch Site Details\n", + "\n", + "Launch Date: 2020-02-22 13:00:00 UTC\n", + "Launch Site Latitude: 47.21348°\n", + "Launch Site Longitude: 9.00334°\n", + "Reference Datum: SIRGAS2000\n", + "Launch Site UTM coordinates: 500252.61 E 5228887.37 N\n", + "Launch Site UTM zone: 32T\n", + "Launch Site Surface Elevation: 407.0 m\n", + "\n", + "\n", + "Atmospheric Model Details\n", + "\n", + "Atmospheric Model Type: Reanalysis\n", + "Reanalysis Maximum Height: 1.000 km\n", + "Reanalysis Time Period: from 2020-02-22 00:00:00 to 2020-02-22 18:00:00 utc\n", + "Reanalysis Hour Interval: 4 hrs\n", + "Reanalysis Latitude Range: From 48.0° to 46.0°\n", + "Reanalysis Longitude Range: From 8.0° to 10.0°\n", + "\n", + "Surface Atmospheric Conditions\n", + "\n", + "Surface Wind Speed: 1.26 m/s\n", + "Surface Wind Direction: 213.21°\n", + "Surface Wind Heading: 33.21°\n", + "Surface Pressure: 980.43 hPa\n", + "Surface Temperature: 286.63 K\n", + "Surface Air Density: 1.192 kg/m³\n", + "Surface Speed of Sound: 339.39 m/s\n", + "\n", + "\n", + "Earth Model Details\n", + "\n", + "Earth Radius at Launch site: 6366.66 km\n", + "Semi-major Axis: 6378.14 km\n", + "Semi-minor Axis: 6356.75 km\n", + "Flattening: 0.0034\n", + "\n", + "\n", + "Atmospheric Model Plots\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "env.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Motor\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define the `SolidMotor` object\n" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "k828fj = SolidMotor(\n", + " thrust_source=\"../../data/motors/aerotech/AeroTech_K828FJ.eng\",\n", + " burn_time=parameters.get(\"burn_time\")[0],\n", + " dry_mass=0.001,\n", + " dry_inertia=(0, 0, 0),\n", + " center_of_dry_mass_position=0.3,\n", + " grains_center_of_mass_position=0.3,\n", + " grain_number=3,\n", + " grain_separation=parameters.get(\"grain_separation\")[0],\n", + " grain_density=parameters.get(\"grain_density\")[0],\n", + " grain_outer_radius=parameters.get(\"grain_outer_radius\")[0],\n", + " grain_initial_inner_radius=parameters.get(\"grain_initial_inner_radius\")[0],\n", + " grain_initial_height=parameters.get(\"grain_initial_height\")[0],\n", + " nozzle_radius=parameters.get(\"nozzle_radius\")[0],\n", + " throat_radius=parameters.get(\"throat_radius\")[0],\n", + " interpolation_method=\"linear\",\n", + " nozzle_position=0,\n", + " coordinate_system_orientation=\"nozzle_to_combustion_chamber\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "k828fj.plots.draw()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nozzle Details\n", + "Nozzle Radius: 0.04445 m\n", + "Nozzle Throat Radius: 0.0214376 m\n", + "\n", + "Grain Details\n", + "Number of Grains: 3\n", + "Grain Spacing: 0.003 m\n", + "Grain Density: 782.4 kg/m3\n", + "Grain Outer Radius: 0.042799 m\n", + "Grain Inner Radius: 0.033146999999999996 m\n", + "Grain Height: 0.1524 m\n", + "Grain Volume: 0.000 m3\n", + "Grain Mass: 0.275 kg\n", + "\n", + "Motor Details\n", + "Total Burning Time: 2.43 s\n", + "Total Propellant Mass: 0.824 kg\n", + "Structural Mass Ratio: 0.001\n", + "Average Propellant Exhaust Velocity: 2514.035 m/s\n", + "Average Thrust: 852.260 N\n", + "Maximum Thrust: 1303.79 N at 0.04 s after ignition.\n", + "Total Impulse: 2070.992 Ns\n", + "\n" + ] + }, + { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "k828fj.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Rocket\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create the `Rocket` object\n" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "bella_lui = Rocket(\n", + " radius=parameters.get(\"radius\")[0],\n", + " mass=parameters.get(\"rocket_mass\")[0],\n", + " inertia=(\n", + " parameters.get(\"inertia_i\")[0],\n", + " parameters.get(\"inertia_i\")[0],\n", + " parameters.get(\"inertia_z\")[0],\n", + " ),\n", + " power_off_drag=0.43,\n", + " power_on_drag=0.43,\n", + " center_of_mass_without_motor=0,\n", + ")\n", + "bella_lui.set_rail_buttons(0.1, -0.5)\n", + "bella_lui.add_motor(motor=k828fj, position=parameters.get(\"distance_rocket_nozzle\")[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Adding aerodynamic surfaces\n" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "nose_cone = bella_lui.add_nose(\n", + " length=parameters.get(\"nose_length\")[0],\n", + " kind=\"tangent\",\n", + " position=parameters.get(\"nose_distance_to_cm\")[0]\n", + " + parameters.get(\"nose_length\")[0],\n", + ")\n", + "fin_set = bella_lui.add_trapezoidal_fins(\n", + " 3,\n", + " span=parameters.get(\"fin_span\")[0],\n", + " root_chord=parameters.get(\"fin_root_chord\")[0],\n", + " tip_chord=parameters.get(\"fin_tip_chord\")[0],\n", + " position=parameters.get(\"fin_distance_to_cm\")[0],\n", + ")\n", + "tail = bella_lui.add_tail(\n", + " top_radius=parameters.get(\"tail_top_radius\")[0],\n", + " bottom_radius=parameters.get(\"tail_bottom_radius\")[0],\n", + " length=parameters.get(\"tail_length\")[0],\n", + " position=parameters.get(\"tail_distance_to_cm\")[0],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Adding Parachute\n" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "Drogue = bella_lui.add_parachute(\n", + " \"Drogue\",\n", + " cd_s=parameters.get(\"CdS_drogue\")[0],\n", + " trigger=\"apogee\",\n", + " sampling_rate=105,\n", + " lag=parameters.get(\"lag_rec\")[0],\n", + " noise=(0, 8.3, 0.5),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Modify the Drag Coefficient curve\n" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "# Define aerodynamic drag coefficients\n", + "bella_lui.power_off_drag = Function(\n", + " [\n", + " (0.01, 0.51),\n", + " (0.02, 0.46),\n", + " (0.04, 0.43),\n", + " (0.28, 0.43),\n", + " (0.29, 0.44),\n", + " (0.45, 0.44),\n", + " (0.49, 0.46),\n", + " ],\n", + " \"Mach Number\",\n", + " \"Drag Coefficient with Power Off\",\n", + " \"linear\",\n", + " \"constant\",\n", + ")\n", + "bella_lui.power_on_drag = Function(\n", + " [\n", + " (0.01, 0.51),\n", + " (0.02, 0.46),\n", + " (0.04, 0.43),\n", + " (0.28, 0.43),\n", + " (0.29, 0.44),\n", + " (0.45, 0.44),\n", + " (0.49, 0.46),\n", + " ],\n", + " \"Mach Number\",\n", + " \"Drag Coefficient with Power On\",\n", + " \"linear\",\n", + " \"constant\",\n", + ")\n", + "bella_lui.power_off_drag *= parameters.get(\"power_off_drag\")[0]\n", + "bella_lui.power_on_drag *= parameters.get(\"power_on_drag\")[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Inertia Details\n", + "\n", + "Rocket Mass: 18.226 kg (without motor)\n", + "Rocket Dry Mass: 18.227 kg (with unloaded motor)\n", + "Rocket Loaded Mass: 19.051 kg\n", + "Rocket Structural Mass Ratio: 0.957\n", + "Rocket Inertia (with unloaded motor) 11: 0.783 kg*m2\n", + "Rocket Inertia (with unloaded motor) 22: 0.783 kg*m2\n", + "Rocket Inertia (with unloaded motor) 33: 0.064 kg*m2\n", + "Rocket Inertia (with unloaded motor) 12: 0.000 kg*m2\n", + "Rocket Inertia (with unloaded motor) 13: 0.000 kg*m2\n", + "Rocket Inertia (with unloaded motor) 23: 0.000 kg*m2\n", + "\n", + "Geometrical Parameters\n", + "\n", + "Rocket Maximum Radius: 0.078 m\n", + "Rocket Frontal Area: 0.019113 m2\n", + "\n", + "Rocket Distances\n", + "Rocket Center of Dry Mass - Center of Mass without Motor: 0.000 m\n", + "Rocket Center of Dry Mass - Nozzle Exit: 1.136 m\n", + "Rocket Center of Dry Mass - Center of Propellant Mass: 0.836 m\n", + "Rocket Center of Mass - Rocket Loaded Center of Mass: 0.036 m\n", + "\n", + "\n", + "Aerodynamics Lift Coefficient Derivatives\n", + "\n", + "Nose Cone Lift Coefficient Derivative: 2.000/rad\n", + "Fins Lift Coefficient Derivative: 10.281/rad\n", + "Tail Lift Coefficient Derivative: -0.502/rad\n", + "\n", + "Center of Pressure\n", + "\n", + "Nose Cone Center of Pressure position: 1.433 m\n", + "Fins Center of Pressure position: -0.871 m\n", + "Tail Center of Pressure position: -1.110 m\n", + "\n", + "Stability\n", + "\n", + "Center of Mass position (time=0): -0.036 m\n", + "Center of Pressure position (time=0): -0.469 m\n", + "Initial Static Margin (mach=0, time=0): 2.777 c\n", + "Final Static Margin (mach=0, time=burn_out): 3.009 c\n", + "Rocket Center of Mass (time=0) - Center of Pressure (mach=0): 0.433 m\n", + "\n", + "\n", + "Parachute Details\n", + "\n", + "Parachute Drogue with a cd_s of 0.7854 m2\n", + "Ejection signal trigger: At Apogee\n", + "Ejection system refresh rate: 105.000 Hz\n", + "Time between ejection signal is triggered and the parachute is fully opened: 1.0 s\n", + "\n" + ] + } + ], + "source": [ + "bella_lui.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n" + ] + } + ], + "source": [ + "# Flight\n", + "test_flight = Flight(\n", + " rocket=bella_lui,\n", + " environment=env,\n", + " rail_length=parameters.get(\"rail_length\")[0],\n", + " inclination=parameters.get(\"inclination\")[0],\n", + " heading=parameters.get(\"heading\")[0],\n", + " equations_of_motion=\"solid_propulsion\",\n", + " simulation_mode=\"3 DOF\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Initial Conditions\n", + "\n", + "Initial time: 0.000 s\n", + "Position - x: 0.00 m | y: 0.00 m | z: 407.00 m\n", + "Velocity - Vx: 0.00 m/s | Vy: 0.00 m/s | Vz: 0.00 m/s\n", + "Attitude (quaternions) - e0: 1.000 | e1: -0.006 | e2: 0.006 | e3: 0.000\n", + "Euler Angles - Spin φ : 45.00° | Nutation θ: -1.00° | Precession ψ: -45.00°\n", + "Angular Velocity - ω1: 0.00 rad/s | ω2: 0.00 rad/s | ω3: 0.00 rad/s\n", + "Initial Stability Margin: 2.777 c\n", + "\n", + "\n", + "Surface Wind Conditions\n", + "\n", + "Frontal Surface Wind Speed: 1.23 m/s\n", + "Lateral Surface Wind Speed: 0.26 m/s\n", + "\n", + "\n", + "Launch Rail\n", + "\n", + "Launch Rail Length: 4.2 m\n", + "Launch Rail Inclination: 89.00°\n", + "Launch Rail Heading: 45.00°\n", + "\n", + "\n", + "Rail Departure State\n", + "\n", + "Rail Departure Time: 0.359 s\n", + "Rail Departure Velocity: 16.184 m/s\n", + "Rail Departure Stability Margin: 2.818 c\n", + "Rail Departure Angle of Attack: 4.457°\n", + "Rail Departure Thrust-Weight Ratio: 5.416\n", + "Rail Departure Reynolds Number: 1.691e+05\n", + "\n", + "\n", + "Burn out State\n", + "\n", + "Burn out time: 2.430 s\n", + "Altitude at burn out: 530.013 m (ASL) | 123.013 m (AGL)\n", + "Rocket speed at burn out: 85.175 m/s\n", + "Freestream velocity at burn out: 85.150 m/s\n", + "Mach Number at burn out: 0.251\n", + "Kinetic energy at burn out: 6.612e+04 J\n", + "\n", + "\n", + "Apogee State\n", + "\n", + "Apogee Time: 10.607 s\n", + "Apogee Altitude: 867.740 m (ASL) | 460.740 m (AGL)\n", + "Apogee Freestream Speed: 0.535 m/s\n", + "Apogee X position: 13.540 m\n", + "Apogee Y position: 16.834 m\n", + "Apogee latitude: 47.2136275°\n", + "Apogee longitude: 9.0035154°\n", + "\n", + "\n", + "Parachute Events\n", + "\n", + "Parachute: Drogue\n", + "\tEjection time: 10.610 s\n", + "\tInflation time: 11.610 s\n", + "\tFreestream speed at inflation: 9.833 m/s\n", + "\tAltitude at inflation: 862.810 m (ASL) | 460.740 m (AGL)\n", + "\n", + "\n", + "Impact Conditions\n", + "\n", + "Time of impact: 35.764 s\n", + "X impact: 30.518 m\n", + "Y impact: 46.042 m\n", + "Altitude impact: 407.000 m (ASL) | 0.000 m (AGL) \n", + "Latitude: 47.2138903°\n", + "Longitude: 9.0037403°\n", + "Vertical velocity at impact: -19.574 m/s\n", + "Number of parachutes triggered until impact: 1\n", + "\n", + "\n", + "Stability Margin\n", + "\n", + "Initial Stability Margin: 2.777 c at 0.00 s\n", + "Out of Rail Stability Margin: 2.818 c at 0.36 s\n", + "Maximum Stability Margin: 3.031 c at 2.41 s\n", + "Minimum Stability Margin: 2.777 c at 0.00 s\n", + "\n", + "\n", + "Maximum Values\n", + "\n", + "Maximum Speed: 86.229 m/s at 2.25 s\n", + "Maximum Mach Number: 0.254 Mach at 2.25 s\n", + "Maximum Reynolds Number: 8.912e+05 at 2.25 s\n", + "Maximum Dynamic Pressure: 4.380e+03 Pa at 2.25 s\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "hello\n", + "Maximum Acceleration During Motor Burn: 58.470 m/s² at 0.04 s\n", + "Maximum Gs During Motor Burn: 5.962 g at 0.04 s\n", + "Maximum Acceleration After Motor Burn: -0.000 m/s² at 0.00 s\n", + "Maximum Gs After Motor Burn: -0.000 Gs at 0.00 s\n", + "Maximum Stability Margin: 3.031 c at 2.41 s\n", + "Maximum Upper Rail Button Normal Force: 3.357 N\n", + "Maximum Upper Rail Button Shear Force: 0.700 N\n", + "Maximum Lower Rail Button Normal Force: 0.672 N\n", + "Maximum Lower Rail Button Shear Force: 0.140 N\n", + "\n", + "\n", + "Numerical Integration Settings\n", + "\n", + "Maximum Allowed Flight Time: 600.00 s\n", + "Maximum Allowed Time Step: inf s\n", + "Minimum Allowed Time Step: 0.00e+00 s\n", + "Relative Error Tolerance: 1e-06\n", + "Absolute Error Tolerance: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 1e-06, 1e-06, 1e-06, 1e-06, 0.001, 0.001, 0.001]\n", + "Allow Event Overshoot: True\n", + "Terminate Simulation on Apogee: False\n", + "Number of Time Steps Used: 194\n", + "Number of Derivative Functions Evaluation: 74\n", + "Average Function Evaluations per Time Step: 0.381\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test_flight.info()\n", + "test_flight.plots.trajectory_3d()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparison with the real flight data\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Load the available flight data: altitude above ground level (m), vertical velocity (m/s), time (s)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "flight_data = np.loadtxt(\n", + " \"../../data/rockets/EPFL_Bella_Lui/bella_lui_flight_data_filtered.csv\",\n", + " skiprows=1,\n", + " delimiter=\",\",\n", + " usecols=(2, 3, 4),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Convert to Function objects\n" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "actual_z = Function(\n", + " source=np.column_stack((flight_data[:573, 0], flight_data[:573, 1])),\n", + " inputs=\"Time (s)\",\n", + " outputs=\"Altitude above ground level (m)\",\n", + " interpolation=\"linear\",\n", + " extrapolation=\"zero\",\n", + ")\n", + "\n", + "actual_vz = Function(\n", + " source=np.column_stack((flight_data[:573, 0], flight_data[:573, 2])),\n", + " inputs=\"Time (s)\",\n", + " outputs=\"Vertical velocity (m/s)\",\n", + " interpolation=\"linear\",\n", + " extrapolation=\"zero\",\n", + ")\n", + "\n", + "# the actual acceleration will be calculated as the derivative of the actual velocity\n", + "actual_az = actual_vz.derivative_function()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We may need to filter the acceleration data to reduce the noise\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "az_filtered = savgol_filter(x=actual_az.source[:, 1], window_length=51, polyorder=3)\n", + "\n", + "actual_az_filtered = Function(\n", + " source=np.column_stack((actual_az.source[:, 0], az_filtered)),\n", + " inputs=\"Time (s)\",\n", + " outputs=\"Vertical acceleration (m/s^2)\",\n", + " interpolation=\"linear\",\n", + " extrapolation=\"zero\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Function.compare_plots(\n", + " [(actual_az, \"actual\"), (actual_az_filtered, \"filtered\")],\n", + " xlabel=\"Time (s)\",\n", + " ylabel=\"Vertical acceleration (m/s^2)\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the simulated results\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "simulated_z = test_flight.z - env.elevation\n", + "simulated_vz = test_flight.vz\n", + "simulated_az = test_flight.az\n", + "simulated_t_final = test_flight.t_final\n", + "simulated_apogee = test_flight.apogee - env.elevation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plots comparison\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(actual_z[:, 0], actual_z[:, 1], label=\"Flight data\")\n", + "plt.plot(simulated_z[:, 0], simulated_z[:, 1], label=\"RocketPy\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Altitude (m)\")\n", + "plt.ylim(0, round(simulated_apogee, -2))\n", + "plt.xlim(0, round(simulated_t_final, -1))\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(actual_vz[:, 0], actual_vz[:, 1], label=\"Flight data\")\n", + "plt.plot(simulated_vz[:, 0], simulated_vz[:, 1], label=\"RocketPy\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Vertical velocity (m/s)\")\n", + "# plt.ylim()\n", + "plt.xlim(0, round(simulated_t_final, -1))\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(actual_az_filtered[:, 0], actual_az_filtered[:, 1], label=\"Flight data\")\n", + "plt.plot(simulated_az[:, 0], simulated_az[:, 1], label=\"RocketPy\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Vertical acceleration (m/s^2)\")\n", + "# plt.ylim()\n", + "plt.xlim(0, round(simulated_t_final, -1))\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Numerical comparison\n" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Apogee (AGL)\n", + "RocketPy: 460.74 m\n", + "Real data: 458.97 m\n", + "Absolute error: 1.77 m\n", + "Relative error: 0.39 %\n" + ] + } + ], + "source": [ + "print(\"Apogee (AGL)\")\n", + "print(f\"RocketPy: {simulated_apogee:.2f} m\")\n", + "print(f\"Real data: {actual_z.max:.2f} m\")\n", + "diff = abs(actual_z.max - simulated_apogee)\n", + "print(f\"Absolute error: {diff:.2f} m\")\n", + "print(f\"Relative error: {diff / actual_z.max * 100:.2f} %\")" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Max Velocity\n", + "RocketPy: 86.20 m/s\n", + "Real data: 90.00 m/s\n", + "Absolute error: -3.80 m/s\n", + "Relative error: 4.23 %\n" + ] + } + ], + "source": [ + "print(\"Max Velocity\")\n", + "print(f\"RocketPy: {simulated_vz.max:.2f} m/s\")\n", + "print(f\"Real data: {actual_vz.max:.2f} m/s\")\n", + "velocity_error = simulated_vz.max - actual_vz.max\n", + "print(f\"Absolute error: {velocity_error:.2f} m/s\")\n", + "relative_error = abs(velocity_error) / actual_vz.max * 100\n", + "print(f\"Relative error: {relative_error:.2f} %\")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Max Acceleration\n", + "RocketPy: 58.46 m/s²\n", + "Real data (derivative): 58.73 m/s²\n", + "Absolute error: -0.27 m/s^2\n", + "Relative error: 0.46 %\n" + ] + } + ], + "source": [ + "print(\"Max Acceleration\")\n", + "print(f\"RocketPy: {simulated_az.max:.2f} m/s²\")\n", + "print(f\"Real data (derivative): {actual_az_filtered.max:.2f} m/s²\")\n", + "acceleration_error = simulated_az.max - actual_az_filtered.max\n", + "print(f\"Absolute error: {acceleration_error:.2f} m/s^2\")\n", + "relative_error = abs(acceleration_error) / actual_az_filtered.max * 100\n", + "print(f\"Relative error: {relative_error:.2f} %\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.2" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/test_camoes_flight_sim.ipynb b/docs/examples/test_camoes_flight_sim.ipynb new file mode 100644 index 000000000..616610761 --- /dev/null +++ b/docs/examples/test_camoes_flight_sim.ipynb @@ -0,0 +1,847 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Camões - Rocket Experiment Division \n", + "\n", + "Launched at EUROC'23, achieved the target apogee of 3000 meters, with a flawless ascent phase, featuring effective air brake operation throughout. \n", + "The recovery phase had only the actuation of a drogue parachute.\n", + "\n", + "Permission to use flight data given by Gonçalo Machado, 2024.\n", + "\n", + "These results were extracted out of the flight card:\n", + "\n", + "1. Team number: `20`\n", + "2. Launch date: `October 14th, 2023. 14h local time`\n", + "3. Simulated apogee: `3003 m`\n", + "4. Official recorded apogee: `3015 m`\n", + "\n", + "The relative error of altitude apogee is only `0.39%`!" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "'seaborn-v0_8-colorblind' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:127\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m rc \u001b[38;5;241m=\u001b[39m \u001b[43mrc_params_from_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstyle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_default_template\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:852\u001b[0m, in \u001b[0;36mrc_params_from_file\u001b[1;34m(fname, fail_on_error, use_default_template)\u001b[0m\n\u001b[0;32m 838\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 839\u001b[0m \u001b[38;5;124;03mConstruct a `RcParams` from file *fname*.\u001b[39;00m\n\u001b[0;32m 840\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 850\u001b[0m \u001b[38;5;124;03m parameters specified in the file. (Useful for updating dicts.)\u001b[39;00m\n\u001b[0;32m 851\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 852\u001b[0m config_from_file \u001b[38;5;241m=\u001b[39m \u001b[43m_rc_params_in_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfail_on_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfail_on_error\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 854\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m use_default_template:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:778\u001b[0m, in \u001b[0;36m_rc_params_in_file\u001b[1;34m(fname, transform, fail_on_error)\u001b[0m\n\u001b[0;32m 777\u001b[0m rc_temp \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m--> 778\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _open_file_or_url(fname) \u001b[38;5;28;01mas\u001b[39;00m fd:\n\u001b[0;32m 779\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\contextlib.py:117\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 117\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:755\u001b[0m, in \u001b[0;36m_open_file_or_url\u001b[1;34m(fname)\u001b[0m\n\u001b[0;32m 754\u001b[0m encoding \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 755\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 756\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m f\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'seaborn-v0_8-colorblind'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[2], line 8\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mrocketpy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmotors\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtank\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m MassFlowRateBasedTank\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m----> 8\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstyle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43muse\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseaborn-v0_8-colorblind\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:130\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m--> 130\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[0;32m 131\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m not found in the style library and input is not a \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 132\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalid URL or path; see `style.available` for list of \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mavailable styles\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(style)) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n", + "\u001b[1;31mOSError\u001b[0m: 'seaborn-v0_8-colorblind' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles" + ] + } + ], + "source": [ + "from rocketpy import Function, Environment, Flight, Rocket, SolidMotor\n", + "from rocketpy import AirBrakes, _Controller\n", + "from rocketpy.motors import CylindricalTank, SolidMotor\n", + "from rocketpy.motors.tank import MassFlowRateBasedTank\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.style.use(\"seaborn-v0_8-colorblind\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Environment" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Gravity Details\n", + "\n", + "Acceleration of gravity at surface level: 9.8066 m/s²\n", + "Acceleration of gravity at 4.000 km (ASL): 9.8066 m/s²\n", + "\n", + "\n", + "Launch Site Details\n", + "\n", + "Launch Date: 2023-10-14 13:00:00 UTC | 2023-10-14 14:00:00 Portugal\n", + "Launch Site Latitude: 39.39000°\n", + "Launch Site Longitude: -8.28954°\n", + "Reference Datum: WGS84\n", + "Launch Site UTM coordinates: 44367.90 W 4373424.89 N\n", + "Launch Site UTM zone: 30S\n", + "Launch Site Surface Elevation: 107.0 m\n", + "\n", + "\n", + "Atmospheric Model Details\n", + "\n", + "Atmospheric Model Type: Reanalysis\n", + "Reanalysis Maximum Height: 4.000 km\n", + "Reanalysis Time Period: from 2023-10-12 08:00:00 to 2023-10-15 18:00:00 utc\n", + "Reanalysis Hour Interval: 1 hrs\n", + "Reanalysis Latitude Range: From 40.0° to 39.0°\n", + "Reanalysis Longitude Range: From -9.0° to -7.0°\n", + "\n", + "Surface Atmospheric Conditions\n", + "\n", + "Surface Wind Speed: 0.90 m/s\n", + "Surface Wind Direction: 207.00°\n", + "Surface Wind Heading: 27.00°\n", + "Surface Pressure: 1000.00 hPa\n", + "Surface Temperature: 295.59 K\n", + "Surface Air Density: 1.179 kg/m³\n", + "Surface Speed of Sound: 344.66 m/s\n", + "\n", + "\n", + "Earth Model Details\n", + "\n", + "Earth Radius at Launch site: 6369.57 km\n", + "Semi-major Axis: 6378.14 km\n", + "Semi-minor Axis: 6356.75 km\n", + "Flattening: 0.0034\n", + "\n", + "\n", + "Atmospheric Model Plots\n", + "\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "env = Environment(\n", + " gravity=9.80665,\n", + " date=(2023, 10, 14, 14),\n", + " latitude=39.3900032043457,\n", + " longitude=-8.2895383834838,\n", + " elevation=107,\n", + " datum=\"WGS84\",\n", + " timezone=\"Portugal\",\n", + ")\n", + "\n", + "env.set_atmospheric_model(\n", + " type=\"Reanalysis\",\n", + " file=\"../../data/weather/euroc_2023_all_windows.nc\",\n", + " dictionary=\"ECMWF\",\n", + ")\n", + "env.max_expected_height = 4000\n", + "env.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Motor" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "Mariachi = SolidMotor(\n", + " thrust_source=\"../../data/rockets/camoes/thrust_source.csv\",\n", + " burn_time=3.72,\n", + " grain_number=6,\n", + " grain_density=1637,\n", + " grain_initial_inner_radius=0.015,\n", + " grain_outer_radius=0.045,\n", + " grain_initial_height=0.15,\n", + " nozzle_radius=0.034,\n", + " throat_radius=0.0135,\n", + " grain_separation=0.005,\n", + " grains_center_of_mass_position=-0.7566,\n", + " dry_inertia=(0, 0, 0),\n", + " center_of_dry_mass_position=0,\n", + " dry_mass=0,\n", + " nozzle_position=-1.3346,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nozzle Details\n", + "Nozzle Radius: 0.034 m\n", + "Nozzle Throat Radius: 0.0135 m\n", + "\n", + "Grain Details\n", + "Number of Grains: 6\n", + "Grain Spacing: 0.005 m\n", + "Grain Density: 1637 kg/m3\n", + "Grain Outer Radius: 0.045 m\n", + "Grain Inner Radius: 0.015 m\n", + "Grain Height: 0.15 m\n", + "Grain Volume: 0.001 m3\n", + "Grain Mass: 1.389 kg\n", + "\n", + "Motor Details\n", + "Total Burning Time: 3.72 s\n", + "Total Propellant Mass: 8.331 kg\n", + "Structural Mass Ratio: 0.000\n", + "Average Propellant Exhaust Velocity: 1320.764 m/s\n", + "Average Thrust: 2957.984 N\n", + "Maximum Thrust: 4145.791 N at 1.65 s after ignition.\n", + "Total Impulse: 11003.702 Ns\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Mariachi.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Rocket and Aerodynamic surfaces" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For comparison purposes, no parachute will be added to the simulation" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "CAMOES = Rocket(\n", + " radius=0.0715,\n", + " mass=22.8,\n", + " inertia=(16.2, 16.2, 0.066),\n", + " center_of_mass_without_motor=0,\n", + " power_off_drag=\"../../data/rockets/camoes/drag_coefficient_power_off.csv\",\n", + " power_on_drag=\"../../data/rockets/camoes/drag_coefficient_power_on.csv\",\n", + " coordinate_system_orientation=\"tail_to_nose\",\n", + ")\n", + "\n", + "CAMOES.set_rail_buttons(0.5, 0.2)\n", + "\n", + "CAMOES.add_motor(Mariachi, position=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "NoseCone = CAMOES.add_nose(\n", + " length=0.455,\n", + " kind=\"vonKarman\",\n", + " position=1.1884,\n", + ")\n", + "\n", + "FinSet = CAMOES.add_trapezoidal_fins(\n", + " n=4,\n", + " span=0.155,\n", + " root_chord=0.185,\n", + " tip_chord=0.15,\n", + " position=-1.0866,\n", + ")\n", + "\n", + "Tail = CAMOES.add_tail(\n", + " top_radius=0.0715, bottom_radius=0.037, length=0.048, position=-1.2866\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def drogue_trigger(p, h, y):\n", + " return True if y[5] < 5 and y[2] > 300 else False\n", + "\n", + "\n", + "Drogue = CAMOES.add_parachute(\n", + " \"Drogue\", cd_s=0.33, sampling_rate=400, lag=1.5, trigger=drogue_trigger\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "CAMOES.draw()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Air Brakes - Active Control Systems" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For privacy reasons, the controller function is not the one developed and used by the team. \n", + "\n", + "The controller function just describes the actuation with time of the algorithm developed by the team. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "\n", + "def controller_function(\n", + " time, sampling_rate, state, state_history, observed_variables, air_brakes\n", + "):\n", + " new_deployment_level = 0\n", + "\n", + " if time <= 11.4:\n", + " new_deployment_level = 1\n", + " else:\n", + " new_deployment_level = (\n", + " -0.002906 * np.power(time, 3)\n", + " + 0.1497 * np.power(time, 2)\n", + " + -2.563 * time\n", + " + 14.96\n", + " )\n", + "\n", + " if time > 19.6:\n", + " new_deployment_level = 0\n", + "\n", + " if time < 3.8:\n", + " new_deployment_level = 0\n", + "\n", + " air_brakes.deployment_level = new_deployment_level\n", + "\n", + " return time, air_brakes.deployment_level" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "air_brakes = CAMOES.add_air_brakes(\n", + " drag_coefficient_curve=[\n", + " # Mach 0.1\n", + " [0, 0.1, 0.7692],\n", + " [10 / 100, 0.1, 0.7663],\n", + " [20 / 100, 0.1, 0.7762],\n", + " [30 / 100, 0.1, 0.7847],\n", + " [40 / 100, 0.1, 0.7999],\n", + " [50 / 100, 0.1, 0.8246],\n", + " [60 / 100, 0.1, 0.8310],\n", + " [70 / 100, 0.1, 0.8499],\n", + " [80 / 100, 0.1, 0.8738],\n", + " [90 / 100, 0.1, 0.8945],\n", + " [100 / 100, 0.1, 1.1018],\n", + " # Mach 0.2\n", + " [0, 0.2, 0.7508],\n", + " [10 / 100, 0.2, 0.7513],\n", + " [20 / 100, 0.2, 0.7670],\n", + " [30 / 100, 0.2, 0.7782],\n", + " [40 / 100, 0.2, 0.7943],\n", + " [50 / 100, 0.2, 0.8063],\n", + " [60 / 100, 0.2, 0.8243],\n", + " [70 / 100, 0.2, 0.8493],\n", + " [80 / 100, 0.2, 0.8781],\n", + " [90 / 100, 0.2, 0.8925],\n", + " [100 / 100, 0.2, 0.9851],\n", + " # Mach 0.3\n", + " [0, 0.3, 0.7445],\n", + " [10 / 100, 0.3, 0.7571],\n", + " [20 / 100, 0.3, 0.7699],\n", + " [30 / 100, 0.3, 0.7828],\n", + " [40 / 100, 0.3, 0.7985],\n", + " [50 / 100, 0.3, 0.8114],\n", + " [60 / 100, 0.3, 0.8379],\n", + " [70 / 100, 0.3, 0.8634],\n", + " [80 / 100, 0.3, 0.8834],\n", + " [90 / 100, 0.3, 0.8947],\n", + " [100 / 100, 0.3, 0.9782],\n", + " # Mach 0.4\n", + " [0, 0.4, 0.7492],\n", + " [10 / 100, 0.4, 0.7566],\n", + " [20 / 100, 0.4, 0.7698],\n", + " [30 / 100, 0.4, 0.7840],\n", + " [40 / 100, 0.4, 0.7994],\n", + " [50 / 100, 0.4, 0.8136],\n", + " [60 / 100, 0.4, 0.8399],\n", + " [70 / 100, 0.4, 0.8665],\n", + " [80 / 100, 0.4, 0.8834],\n", + " [90 / 100, 0.4, 0.8969],\n", + " [100 / 100, 0.4, 0.9659],\n", + " # Mach 0.5\n", + " [0, 0.5, 0.7454],\n", + " [10 / 100, 0.5, 0.7537],\n", + " [20 / 100, 0.5, 0.7651],\n", + " [30 / 100, 0.5, 0.7811],\n", + " [40 / 100, 0.5, 0.7987],\n", + " [50 / 100, 0.5, 0.8163],\n", + " [60 / 100, 0.5, 0.8404],\n", + " [70 / 100, 0.5, 0.8631],\n", + " [80 / 100, 0.5, 0.8788],\n", + " [90 / 100, 0.5, 0.8951],\n", + " [100 / 100, 0.5, 0.9416],\n", + " # Mach 0.6\n", + " [0, 0.6, 0.7036],\n", + " [10 / 100, 0.6, 0.7237],\n", + " [20 / 100, 0.6, 0.7359],\n", + " [30 / 100, 0.6, 0.7496],\n", + " [40 / 100, 0.6, 0.7684],\n", + " [50 / 100, 0.6, 0.7899],\n", + " [60 / 100, 0.6, 0.8153],\n", + " [70 / 100, 0.6, 0.8406],\n", + " [80 / 100, 0.6, 0.8539],\n", + " [90 / 100, 0.6, 0.8712],\n", + " [100 / 100, 0.6, 0.9286],\n", + " # Mach 0.7\n", + " [0, 0.7, 0.6810],\n", + " [10 / 100, 0.7, 0.6948],\n", + " [20 / 100, 0.7, 0.7076],\n", + " [30 / 100, 0.7, 0.7233],\n", + " [40 / 100, 0.7, 0.7427],\n", + " [50 / 100, 0.7, 0.7629],\n", + " [60 / 100, 0.7, 0.7876],\n", + " [70 / 100, 0.7, 0.8073],\n", + " [80 / 100, 0.7, 0.8272],\n", + " [90 / 100, 0.7, 0.8453],\n", + " [100 / 100, 0.7, 0.8960],\n", + " # Mach 0.8\n", + " [0, 0.8, 0.6578],\n", + " [10 / 100, 0.8, 0.6739],\n", + " [20 / 100, 0.8, 0.6870],\n", + " [30 / 100, 0.8, 0.7036],\n", + " [40 / 100, 0.8, 0.7240],\n", + " [50 / 100, 0.8, 0.7457],\n", + " [60 / 100, 0.8, 0.7676],\n", + " [70 / 100, 0.8, 0.7880],\n", + " [80 / 100, 0.8, 0.8098],\n", + " [90 / 100, 0.8, 0.8278],\n", + " [100 / 100, 0.8, 0.8799],\n", + " # Mach 0.9\n", + " [0, 0.9, 0.6574],\n", + " [10 / 100, 0.9, 0.6634],\n", + " [20 / 100, 0.9, 0.6794],\n", + " [30 / 100, 0.9, 0.6958],\n", + " [40 / 100, 0.9, 0.7201],\n", + " [50 / 100, 0.9, 0.7395],\n", + " [60 / 100, 0.9, 0.7618],\n", + " [70 / 100, 0.9, 0.7844],\n", + " [80 / 100, 0.9, 0.8057],\n", + " [90 / 100, 0.9, 0.8278],\n", + " [100 / 100, 0.9, 0.8628],\n", + " # Mach 1.0\n", + " [0, 1.0, 0.8350],\n", + " [10 / 100, 1.0, 0.8241],\n", + " [20 / 100, 1.0, 0.8403],\n", + " [30 / 100, 1.0, 0.8593],\n", + " [40 / 100, 1.0, 0.8832],\n", + " [50 / 100, 1.0, 0.9070],\n", + " [60 / 100, 1.0, 0.9358],\n", + " [70 / 100, 1.0, 0.9639],\n", + " [80 / 100, 1.0, 0.9881],\n", + " [90 / 100, 1.0, 1.0093],\n", + " [100 / 100, 1.0, 1.0347],\n", + " # Mach 1.1\n", + " [0, 1.1, 0.8610],\n", + " [10 / 100, 1.1, 0.8447],\n", + " [20 / 100, 1.1, 0.8617],\n", + " [30 / 100, 1.1, 0.8800],\n", + " [40 / 100, 1.1, 0.9027],\n", + " [50 / 100, 1.1, 0.9244],\n", + " [60 / 100, 1.1, 0.9515],\n", + " [70 / 100, 1.1, 0.9810],\n", + " [80 / 100, 1.1, 1.0069],\n", + " [90 / 100, 1.1, 1.0253],\n", + " [100 / 100, 1.1, 1.0560],\n", + " ],\n", + " controller_function=controller_function,\n", + " sampling_rate=10,\n", + " reference_area=None,\n", + " clamp=True,\n", + " initial_observed_variables=(0, 0),\n", + " override_rocket_drag=True,\n", + " name=\"Air Brakes\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "air_brakes.all_info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Flight Simulation Data" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "E:\\books\\New folder\\MSc\\RocketPy\\tttt\\RocketPy\\rocketpy\\simulation\\flight.py:1209: UserWarning: time_overshoot has been set to False due to the presence of controllers or sensors. \n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "test_flight = Flight(\n", + " rocket=CAMOES, environment=env, inclination=84, heading=133, rail_length=12, equations_of_motion=\"solid_propulsion\", simulation_mode=\"3 DOF\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Apogee State\n", + "\n", + "Apogee Time: 23.143 s\n", + "Apogee Altitude: 3130.739 m (ASL) | 3023.739 m (AGL)\n", + "Apogee Freestream Speed: 6.031 m/s\n", + "Apogee X position: 324.468 m\n", + "Apogee Y position: -285.984 m\n", + "Apogee latitude: 39.3874306°\n", + "Apogee longitude: -8.2857620°\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test_flight.prints.apogee_conditions()\n", + "test_flight.plots.trajectory_3d()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Airbrakes actuation analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ieHp6mi1RJyIOSxE5rKysLPzwww9Yu3YtLl++jLFjxypdEsnku+++w+HDh7Fw4UKMGTNGmoBNRGUYbogc1OHDhzFkyBAEBARgzpw56NChg9IlkUz++c9/IjMzE717967yIZ9Ezo5zboiIiMihcM4NERERORSGGyIiInIoTjfnxmQy4cKFC/Dy8rL5A+aIiIhIHkII5Ofno0GDBpUeHPx3ThduLly4UOnptURERGQfzp8/j4YNG952H6cLN+V3lD1//jy8vb1lPbfBYMDWrVvRs2dP6HQ6Wc/tTNiO8mA7yoPtKA+2ozycuR3z8vIQEhJS6c7wVXG6cFM+FOXt7W2TcOPh4QFvb2+n+9LJie0oD7ajPNiO8mA7yoPtiGpNKeGEYiIiInIoDDdERETkUBhuiIiIyKEw3BAREZFDYbghIiIih8JwQ0RERA6F4YaIiIgcCsMNERERORSGGyIiInIoDDdERETkUBQNNzt37kTfvn3RoEEDaDQarF+//o7H7NixA/fddx/0ej2aNWuGpUuX2rxOIiIish+Khptr166hffv2mDt3brX2P336NPr06YNHHnkEqampGDduHJ5//nls2bLFxpUSERGRvVD0wZm9evVCr169qr3/ggUL0KRJE3z44YcAgHvvvRc///wzPvroI8TExNiqzLvmUn4xikuNiny2m6sLArzcFflsIiIiOdnVU8F37dqF6Ohos20xMTEYN27cLY8pLi5GcXGx9DovLw9A2ZNVDQaDrPWVn68m5/3Pb+cw7X9HZK3HUpN7t8SwqMaK1gBY145Uge0oD7ajPNiO8nDmdrTkmu0q3GRkZCAwMNBsW2BgIPLy8nD9+nXUqlWr0jEzZsxAYmJipe1bt26Fh4eHTepMSkqy+Jjvj7sAcIELBLR3fpq7rIwATEKD7/f8iXpX/ri7H34bNWlHqoztKA+2ozzYjvJwxnYsLCys9r52FW5qYuLEiYiPj5de5+XlISQkBD179oS3t7esn2UwGJCUlIQePXpAp9NZdOz2tQexN/si3ni0JUY+GCprXXeydNdZTN90FPXrN0Dv3u3u6mdXxZp2pApsR3mwHeXBdpSHM7dj+chLddhVuAkKCkJmZqbZtszMTHh7e1fZawMAer0eer2+0nadTmezL0ZNzu3iUja3W+uivetfWJ1WCwAQGo2q/mWx5d+RM2E7yoPtKA+2ozycsR0tuV67us9NVFQUkpOTzbYlJSUhKipKoYrkIxT8bBeXsnEwIZSsgoiISB6KhpuCggKkpqYiNTUVQNlS79TUVJw7dw5A2ZBSbGystP9LL72EU6dO4Y033sCRI0cwb948rF69GuPHj1eifIeh0ZSFG5NJ4UKIiIhkoGi4SUlJQXh4OMLDwwEA8fHxCA8PR0JCAgDg4sWLUtABgCZNmuB///sfkpKS0L59e3z44Yf4/PPPHWIZeDnNXZ5MDADa8nDDnhsiInIAis656dq1622HQqq6+3DXrl3x+++/27AqZSg5JHRjVIrhhoiIHIJdzbkh23CRem4ULoSIiEgGDDckTShmzw0RETkChhuVUHS11I1hKSO7boiIyAEw3JA0LMWOGyIicgQMNyqjUWC5FIeliIjIkTDcqISSuYLDUkRE5EgYbojDUkRE5FAYblRGgXv48T43RETkUBhu6Kb73DDcEBGR/WO4UQlll4KXhRsjsw0RETkAhhuCy41vAZ8KTkREjoDhRmWUeHAmh6WIiMiRMNyohLIPzrwxLGVSrAQiIiLZMNzQTUvB2XNDRET2j+FGZRRZCn7jW8BhKSIicgQMNyqhhtVSvEExERE5AoYbqgg3TDdEROQAGG5URpEHZ/IOxURE5EAYbtRCyQdnunBYioiIHAfDDd20FJzphoiI7B/DjcoocxO/sn9yKTgRETkChhuVEAqOS3G1FBERORKGG+LjF4iIyKEw3KgMb+JHRERkHYYbgpbDUkRE5EAYblRCyU4TDYeliIjIgTDckLRaikvBiYjIETDcqI0idygufyr4Xf9oIiIi2THcqISSwULrwmEpIiJyHAw3JHUWcViKiIgcAcONyiiyFJzDUkRE5EAYblRCyTsUc1iKiIgcCcMNScNSDDdEROQIGG5URpkHZ1bcxI8PzyQiInvHcKMSiq6WuilRMdsQEZG9Y7ghqecG4NAUERHZP4YbldEosF5Kc9O3wMhwQ0REdo7hhsx6bphtiIjI3jHcqISSmeLmOTe8kR8REdk7hhuC3rXia1BkMCpYCRERkfUYblRGkaXgLhp4uGkBANeKGW6IiMi+MdyohNJzXTzcXAEA10pKlS2EiIjISgw3BACorS/ruSlkuCEiIjvHcKMySjw4EwBq3+i5KeCwFBER2TmGG9VQdlxK6rkpZs8NERHZN4YbAgDU1pf33DDcEBGRfWO4URklVksBFcNShSUcliIiIvvGcKMSyq+WurEUnBOKiYjIzjHcEICKYalrHJYiIiI7x3CjMko8OBOomFDMm/gREZG9Y7hRCaWf6OQhzblhzw0REdk3hhsCAHhKw1LsuSEiIvvGcKM2Cq2W4oRiIiJyFAw3BKBiQnEhe26IiMjOMdyohFB4LThv4kdERI6C4YYAALXd+OBMIiJyDIqHm7lz5yI0NBTu7u6IjIzEnj17brv/7Nmz0bJlS9SqVQshISEYP348ioqK7lK1tqfUgzPLV0td4x2KiYjIzikablatWoX4+HhMnToV+/fvR/v27RETE4OsrKwq9//qq68wYcIETJ06FX/++Se++OILrFq1CpMmTbrLlctP6aXgnryJHxEROQhFw82sWbMwatQoxMXFoXXr1liwYAE8PDywePHiKvf/9ddf8eCDD+LZZ59FaGgoevbsicGDB9+xt4fuzKP8qeAlRphMSkctIiKimnNV6oNLSkqwb98+TJw4Udrm4uKC6Oho7Nq1q8pjHnjgASxfvhx79uxBp06dcOrUKWzatAlDhw695ecUFxejuLhYep2XlwcAMBgMMBgMMl0NpHPe/E9LiBuBwmQyyl5XdbhpKgJNXmGRNMFYCda0I1VgO8qD7SgPtqM8nLkdLblmxX7BsrOzYTQaERgYaLY9MDAQR44cqfKYZ599FtnZ2ejcuTOEECgtLcVLL71022GpGTNmIDExsdL2rVu3wsPDw7qLuIWkpCSLj8m65ALABWkH0uB+8YD8Rd2BEIAGWghosOH7rfBxu+slVFKTdqTK2I7yYDvKg+0oD2dsx8LCwmrvq9x/ntfAjh078O6772LevHmIjIzEiRMnMHbsWLzzzjuYMmVKlcdMnDgR8fHx0uu8vDyEhISgZ8+e8Pb2lrU+g8GApKQk9OjRAzqdzqJj/5u9D3/mXka79u3QOzxY1rqqa/Lv21BQXIqoh7ogtG5tRWoArGtHqsB2lAfbUR5sR3k4czuWj7xUh2Lhxt/fH1qtFpmZmWbbMzMzERQUVOUxU6ZMwdChQ/H8888DAMLCwnDt2jW88MILeOutt+DiUnkKkV6vh16vr7Rdp9PZ7ItRk3NrNGW1u2pdFfvC1tZrUVBcimKjRhX/0tjy78iZsB3lwXaUB9tRHs7YjpZcr2ITit3c3NCxY0ckJydL20wmE5KTkxEVFVXlMYWFhZUCjFZbNhFW6ZvgWUsN1dfmiikiInIAig5LxcfHY9iwYYiIiECnTp0we/ZsXLt2DXFxcQCA2NhYBAcHY8aMGQCAvn37YtasWQgPD5eGpaZMmYK+fftKIYdqrrb0ZHDe64aIiOyXouFm4MCBuHTpEhISEpCRkYEOHTpg8+bN0iTjc+fOmfXUTJ48GRqNBpMnT0Z6ejrq1auHvn37Yvr06Updguw0St3FD3x4JhEROQbFJxSPGTMGY8aMqfK9HTt2mL12dXXF1KlTMXXq1LtQ2d2lhmE13siPiIgcgeKPXyD18JDCDYeliIjIfjHckIQPzyQiIkfAcKMySs65KV8tVcCeGyIismMMNyRhzw0RETkChhuScM4NERE5AoYbldFAuXEp3sSPiIgcAcONSqhgJTg89bzPDRER2T+GG5J46cue25FXxHBDRET2i+FGZZRcLeXpfmO1VJFBuSKIiIisxHCjEkIFj870uhFu8tlzQ0REdozhhiTlw1IFnFBMRER2jOGGJOU9N4UlRpQaTQpXQ0REVDMMNyqhhtVS5UvBAd7rhoiI7BfDDUncXF2gdy37SuQXc1IxERHZJ4YbldEouVwKgJd72bwbTiomIiJ7xXBDZsrn3XBSMRER2SuGG5VQw5wb4Obl4ByWIiIi+8RwQ2Y89bzXDRER2TeGG5VRdsYNww0REdk/hhuVUMMdioGKCcWcc0NERPaK4YbMSBOK2XNDRER2iuFGZRReCc4JxUREZPcYblRCLaulpDk3HJYiIiI7xXBDZjz5ZHAiIrJzDDcqo1F4vZQ0oZjhhoiI7BTDjUqoZFQKXnreoZiIiOwbww2Z4YRiIiKydww3KqP0ailPPluKiIjsHMONWqhkXKp8zk0e59wQEZGdYrghM+VLwUtKTSguNSpcDRERkeUYbshMebgBuGKKiIjsE8ONyij94Eytiwa13bQAOO+GiIjsE8ONSqjlwZkAb+RHRET2zfXOuwBPPvlktU+4bt26GhdD6uDlrkNmXjHDDRER2aVqhRsfHx9b10E3KL0UHLjp+VK81w0REdmhaoWbJUuW2LoOp6eWB2cCFTfy43JwIiKyRzWac1NaWooffvgBn332GfLz8wEAFy5cQEFBgazFkTJ8PdwAAFevs+eGiIjsT7V6bm529uxZPProozh37hyKi4vRo0cPeHl5YebMmSguLsaCBQtsUacTUX5cyqdW2deC4YaIiOyRxT03Y8eORUREBK5cuYJatWpJ25944gkkJyfLWpwzUdGoFHxq3bhLMcMNERHZIYt7bn766Sf8+uuvcHNzM9seGhqK9PR02Qoj5ZSHG/bcEBGRPbK458ZkMsForHxb/r/++gteXl6yFOXM1LBaiuGGiIjsmcXhpmfPnpg9e7b0WqPRoKCgAFOnTkXv3r3lrM2pCBUtl2K4ISIie2bxsNSHH36ImJgYtG7dGkVFRXj22Wdx/Phx+Pv74+uvv7ZFjXSXeTPcEBGRHbM43DRs2BAHDhzAypUrkZaWhoKCAowcORJDhgwxm2BMNaOCUSn23BARkV2zONwUFRXB3d0dzz33nC3qIRW4OdwIIaBRw0QgIiKiarJ4zk1AQACGDRuGpKQkmEwmW9TklNQz46Yi3JSUmlBk4N8xERHZF4vDzZdffonCwkI8/vjjCA4Oxrhx45CSkmKL2kghnnpXaF3Kems4NEVERPbG4nDzxBNPYM2aNcjMzMS7776Lw4cP4x//+AdatGiBadOm2aJGp6KGISCNRsN5N0REZLdq9GwpAPDy8kJcXBy2bt2KtLQ01K5dG4mJiXLW5lRUtBIcACcVExGR/apxuCkqKsLq1avRv39/3HfffcjJycHrr78uZ22kIC4HJyIie2XxaqktW7bgq6++wvr16+Hq6ooBAwZg69atePjhh21Rn9NRflCqDHtuiIjIXlkcbp544gk89thjWLZsGXr37g2dTmeLupyOykalGG6IiMhuWRxuMjMz+QwpJ+BTq+yrwXBDRET2xuI5N15eXjh58iQmT56MwYMHIysrCwDw/fff448//pC9QGejgsVSACp6bvIYboiIyM5YHG5+/PFHhIWFYffu3Vi3bh0KCgoAAAcOHMDUqVNlL9BpqGy5VHm4yS0sUbgSIiIiy1gcbiZMmIB//etfSEpKgpubm7S9W7du+O2332QtjpTDOTdERGSvLA43Bw8exBNPPFFpe0BAALKzsy0uYO7cuQgNDYW7uzsiIyOxZ8+e2+6fm5uL0aNHo379+tDr9WjRogU2bdpk8eeqldqGpRhuiIjI3lgcbnx9fXHx4sVK23///XcEBwdbdK5Vq1YhPj4eU6dOxf79+9G+fXvExMRI83j+rqSkBD169MCZM2ewdu1aHD16FIsWLbL4c9VIXYNSvM8NERHZL4vDzaBBg/Dmm28iIyMDGo0GJpMJv/zyC1577TXExsZadK5Zs2Zh1KhRiIuLQ+vWrbFgwQJ4eHhg8eLFVe6/ePFi5OTkYP369XjwwQcRGhqKLl26oH379pZeBt1BRc9NqcKVEBERWcbipeDvvvsuRo8ejZCQEBiNRrRu3RpGoxHPPvss3nrrrWqfp6SkBPv27cPEiROlbS4uLoiOjsauXbuqPGbDhg2IiorC6NGj8e2336JevXp49tln8eabb0Kr1VZ5THFxMYqLi6XXeXl5AACDwQCDQd5eifLz1eS84saE4tJSo+x11YSnrvzBmSUoKSm5q8+8sqYdqQLbUR5sR3mwHeXhzO1oyTVbHG7c3NywaNEiJCQk4ODBgygoKEB4eDiaN29u0Xmys7NhNBoRGBhotj0wMBBHjhyp8phTp05h27ZtGDJkCDZt2oQTJ07glVdegcFguOVKrRkzZlT5zKutW7fCw8PDopqrKykpyeJjcnO1ADRISUnB9ZPKD1KVGAHAFQajwDcbv4d71dnRpmrSjlQZ21EebEd5sB3l4YztWFhYWO19LQ435UJCQhASEiK9TktLQ0REBEpKbLd02GQyISAgAAsXLoRWq0XHjh2Rnp6Of//737cMNxMnTkR8fLz0Oi8vDyEhIejZsye8vb1lrc9gMCApKQk9evSw+M7Ni87+hvPX8nD//RHo2qKerHXV1JTff0CRwYT7O3dFiJ9tgmBVrGlHqsB2lAfbUR5sR3k4czuWj7xUR43Dzd8JIWA0Gqu9v7+/P7RaLTIzM822Z2ZmIigoqMpj6tevD51OZzYEde+99yIjIwMlJSVmS9PL6fV66PX6Stt1Op3Nvhg1OXf5sI+r1lU1X9g6Hm64cLUI+cVCkZps+XfkTNiO8mA7yoPtKA9nbEdLrrfGTwW3lpubGzp27Ijk5GRpm8lkQnJyMqKioqo85sEHH8SJEydgMpmkbceOHUP9+vWrDDZ2SSVLwQHAr3ZZm+bwRn5ERGRHFAs3ABAfH49Fixbhyy+/xJ9//omXX34Z165dQ1xcHAAgNjbWbMLxyy+/jJycHIwdOxbHjh3D//73P2mCs70TqlsMDtQpDzcFDDdERGQ/qj0sdaexrvz8fIs/fODAgbh06RISEhKQkZGBDh06YPPmzdIk43PnzsHFpSJ/hYSEYMuWLRg/fjzatWuH4OBgjB07Fm+++abFn0135udRFm6usOeGiIjsSLXDja+v722XAwsharRceMyYMRgzZkyV7+3YsaPStqioKId+zIOKRqUqem6uMdwQEZH9qHa42b59uy3rcHoqe24mgIpww54bIiKyJ9UON126dLFlHaRCfuy5ISIiO6TohGKq7G7eCfhO6pTPubnmfHfCJCIi+8VwoxJqHJbyq112TwEuBSciInvCcEO3xAnFRERkjxhuVEY9g1IVw1K5hSUwmlTYtURERFQFi8PNiBEjqrynzbVr1zBixAhZiiJ18L0RbkwCyLvOeTdERGQfLA43X375Ja5fv15p+/Xr17Fs2TJZinJGauwXcXN1gZe+bEEd590QEZG9sOgOxUIICCGQn58Pd3d36T2j0YhNmzYhICDAJkWScup4uiG/uBSXC0rQVB0PKyciIroti+9QrNFo0KJFi0rvazQaJCYmylqcM1LRSnAAgL+nHmcvFyK7oFjpUoiIiKrFojsUCyHQrVs3/Pe//0WdOnWk99zc3NC4cWM0aNDAJkU6A6HGteAA6nnqAQCX8hluiIjIPlh8h+LTp08jJCTE7IGW5Lj8vcomFbPnhoiI7EW1w025xo0bIzc3F3v27EFWVhZMJpPZ+7GxsbIV54w0qloMDtTzLJtbxXBDRET2wuJw891332HIkCEoKCiAt7e32eMCNBoNw42DKe+54bAUERHZC4vHlv7v//4PI0aMQEFBAXJzc3HlyhXpT05Oji1qJAVJc24KuBSciIjsg8XhJj09Ha+++io8PDxsUY/TU91qKa+ycJPNnhsiIrITFoebmJgYpKSk2KIWp6bSxVI39dwUq3ZFFxER0c0snnPTp08fvP766zh8+DDCwsKg0+nM3u/Xr59sxZHy6t3ouSkpNSGvqBQ+tXR3OIKIiEhZFoebUaNGAQCmTZtW6T2NRgOj0Wh9VU5MZaNScNdp4aV3RX5xKbILihluiIhI9SweljKZTLf8w2BTc0KVT5cqw3k3RERkT6y6E19RUZFcdZCK+XveWA7Oe90QEZEdsDjcGI1GvPPOOwgODoanpydOnToFAJgyZQq++OIL2Qsk5ZXPu+G9boiIyB5YHG6mT5+OpUuX4v3334ebm5u0vW3btvj8889lLc4pqW3SDYBA77K7FGfksaeOiIjUz+Jws2zZMixcuBBDhgyBVquVtrdv3x5HjhyRtThnouZV1kE3wk3mVYYbIiJSvxrdxK9Zs2aVtptMJhgMBlmKInUJ8ikLNxcZboiIyA5YHG5at26Nn376qdL2tWvXIjw8XJainJnaHpwJAPV9agEAMjksRUREdsDi+9wkJCRg2LBhSE9Ph8lkwrp163D06FEsW7YMGzdutEWNTkHFo1LSsNTFq0UQQpg9LJWIiEhtLO65efzxx/Hdd9/hhx9+QO3atZGQkIA///wT3333HXr06GGLGklhAd5lq6WKS03ILeTQIxERqZvFPTcA8NBDDyEpKUnuWgjqe3AmUHaX4rq13XD5Wgky8orgV9vtzgcREREppEbhplxBQQFMJpPZNm9vb6sKclZqfyhloLd7Wbi5WoR76/PvmIiI1MviYanTp0+jT58+qF27Nnx8fODn5wc/Pz/4+vrCz8/PFjWSCtT34b1uiIjIPljcc/Pcc89BCIHFixcjMDCQk0tlptbWDORycCIishMWh5sDBw5g3759aNmypS3qcVrqHpQC6pffpfjqdYUrISIiuj2Lh6Xuv/9+nD9/3ha1kIrV9y27182FXPbcEBGRulncc/P555/jpZdeQnp6Otq2bQudTmf2frt27WQrzhmpdZgvxK8s3Jy/UqhwJURERLdncbi5dOkSTp48ibi4OGmbRqORbu5mNBplLZDUIaSOBwAg/cp1GE0CWhd1hjAiIiKLw82IESMQHh6Or7/+mhOK5aTySTeB3u7QaTUwGAUuXr2Ohn4eSpdERERUJYvDzdmzZ7Fhw4YqH55JjkvrokFDPw+czr6G8zkMN0REpF4WTyju1q0bDhw4YItaCOq8Q3G5hpx3Q0REdsDinpu+ffti/PjxOHjwIMLCwipNKO7Xr59sxTkTlY9KAaiYd/NXDsMNERGpl8Xh5qWXXgIATJs2rdJ7nFDs2EJuDEWdv8J73RARkXpZHG7+/iwpkpeKR6UQUufGsBR7boiISMUsnnNz6tQpW9Th9NT+4EygoufmLMMNERGpmMXhplmzZnjkkUewfPlyFBXxbrXOpEm92gCAS/nFyCsyKFwNERFR1SwON/v370e7du0QHx+PoKAgvPjii9izZ48tanNKal4t5e2uQ4CXHgBw6tI1hashIiKqmsXhpkOHDvj4449x4cIFLF68GBcvXkTnzp3Rtm1bzJo1C5cuXbJFnQ5P/YNSZZrW8wQAnMgqULgSIiKiqlkcbsq5urriySefxJo1azBz5kycOHECr732GkJCQhAbG4uLFy/KWSepRLOAsnBz8hLDDRERqVONw01KSgpeeeUV1K9fH7NmzcJrr72GkydPIikpCRcuXMDjjz8uZ51ORMXjUgCa3ph3c5I9N0REpFIWLwWfNWsWlixZgqNHj6J3795YtmwZevfuDReXspzUpEkTLF26FKGhoXLX6tDsYLEUAKApe26IiEjlLA438+fPx4gRIzB8+HDUr1+/yn0CAgLwxRdfWF0cqU/5sNTZy4UwGE3QaWvc+UdERGQTFoeb48eP33EfNzc3DBs2rEYFOTs1r5YCgCBvd3jqXVFQXIpTl66hZZCX0iURERGZsTjcAEBubi6++OIL/PnnnwCANm3aYMSIEfDx8ZG1OFIfjUaD1vW9sedMDg6lX2W4ISIi1bF4TCElJQVNmzbFRx99hJycHOTk5GDWrFlo2rQp9u/fb4sanYKwm8XgQJtgbwDAoQtXFa6EiIioMot7bsaPH49+/fph0aJFcHUtO7y0tBTPP/88xo0bh507d8peJKlLWHBZD92hdIYbIiJSH4vDTUpKilmwAcruefPGG28gIiJC1uKckcqn3ACoCDd/XMiDySTg4mIPVRMRkbOweFjK29sb586dq7T9/Pnz8PLi/Iuaspel4ABwTz1P1NJpUVhixKlsPoaBiIjUxeJwM3DgQIwcORKrVq3C+fPncf78eaxcuRLPP/88Bg8eXKMi5s6di9DQULi7uyMyMrLaz6pauXIlNBoN+vfvX6PPpZrRumjQukHZvJsD53OVLYaIiOhvLB6W+uCDD6DRaBAbG4vS0lIAgE6nw8svv4z33nvP4gJWrVqF+Ph4LFiwAJGRkZg9ezZiYmJw9OhRBAQE3PK4M2fO4LXXXsNDDz1k8WeqmUbta8FviAj1w76zV7D79GU81bGh0uUQERFJLO65cXNzw8cff4wrV64gNTUVqampyMnJwUcffQS9Xm9xAbNmzcKoUaMQFxeH1q1bY8GCBfDw8MDixYtveYzRaMSQIUOQmJiIe+65x+LPVCN7GpYCgKh76gIAfj15WeFKiIiIzNX49rIeHh4ICwtDWFgYPDw8anSOkpIS7Nu3D9HR0RUFubggOjoau3btuuVx06ZNQ0BAAEaOHFmjzyXr3R9aB64uGvx15TrO5xQqXQ4REZGkWsNSTz75ZLVPuG7dumrvm52dDaPRiMDAQLPtgYGBOHLkSJXH/Pzzz/jiiy+Qmpparc8oLi5GcXGx9DovLw8AYDAYYDAYql1rdZSfr2bnLeu6MZaWyl6XLbi5AGHB3vj9/FX8fDwLA+4Llu3c1rUjlWM7yoPtKA+2ozycuR0tueZqhRu13Hk4Pz8fQ4cOxaJFi+Dv71+tY2bMmIHExMRK27du3VrjHqc7SUpKsviYwkItAA1++fUX/OUpf022UM/kAsAFq3cehEfGAdnPX5N2pMrYjvJgO8qD7SgPZ2zHwsLqjxJohFButkdJSQk8PDywdu1asxVPw4YNQ25uLr799luz/VNTUxEeHg6tVittM5lMAMqGs44ePYqmTZuaHVNVz01ISAiys7Ph7e0t6/UYDAYkJSWhR48e0Ol0Fh3b5YOduHC1CP99MRLtGqojTN7Jgb+uYsBnu+HhpsXuCV3hrtPe+aBqsKYdqQLbUR5sR3mwHeXhzO2Yl5cHf39/XL169Y6/3zV6thQAZGVl4ejRowCAli1b3nZl0624ubmhY8eOSE5OlsKNyWRCcnIyxowZU2n/Vq1a4eDBg2bbJk+ejPz8fHz88ccICQmpdIxer69yorNOp7PZF6Mm5y5fJaXTudrNF7ZjaF008HHHhatF+OVULh5tGyTr+W35d+RM2I7yYDvKg+0oD2dsR0uu1+Jwk5eXh9GjR2PlypUwGo0AAK1Wi4EDB2Lu3LkWD2HFx8dj2LBhiIiIQKdOnTB79mxcu3YNcXFxAIDY2FgEBwdjxowZcHd3R9u2bc2O9/X1BYBK28n2NBoN+rZvgM92nsLKvedkDzdEREQ1YfFqqVGjRmH37t3YuHEjcnNzkZubi40bNyIlJQUvvviixQUMHDgQH3zwARISEtChQwekpqZi8+bN0iTjc+fO4eLFixaf194oODpolUGdGgEAfjx2CaercbdiIQQy84qQnnsdJpN9XjMREambxT03GzduxJYtW9C5c2dpW0xMDBYtWoRHH320RkWMGTOmymEoANixY8dtj126dGmNPpPk0cS/Nh5pWQ/bj17CR0nHMGdweJX7FZcasfy3c1jx21npkQ0N/WphYq970add/btZMhEROTiLe27q1q1b5dCTj48P/Pz8ZCnKmWns4tGZ5v6vZ0sAwIYDF7D9aJbZe0IIJP+ZiZiPduKdjYdxKvsatC4a6R45o7/aj//sOqNA1URE5KgsDjeTJ09GfHw8MjIypG0ZGRl4/fXXMWXKFFmLcyb2PEDTNtgHwx8IBQCMWbEfG9MuIK/IgJ3HLmHI57sx8ssUnLlcCH9PPaY/0RYHpvbEwbdjMLJzEwBA4neHkcpnVBERkUwsHpaaP38+Tpw4gUaNGqFRo7L5FufOnYNer8elS5fw2WefSfvu379fvkpJ1Sb0aoVjmfn49eRljPnqd7P33LQuiOscijGPNIOXe8Vs98l97kVmXhE2pl3E2xv+wLqXH4CLi/31XBERkbpYHG74BG7bspPnZlbirtNi8fD78em2E/hqzznkXCtB3dpu6BUWhBcfboqQOpVvmKjRaJDQtzW2HclC6vlcbD+ahe73BlZxdiIiouqzONxMnTrVFnU4PTtdLGXGXafFazEt8X89W+C6wYhaOu0dn3Ie4OWO5/7RGAt3nsLSX88w3BARkdVq9ODM3NxcfP7555g4cSJycnIAlA1Bpaeny1oc2SeNRgMPN9c7BptyQ//RGBoN8NPxbD6Ek4iIrGZxuElLS0OLFi0wc+ZMfPDBB8jNzQVQ9sDMiRMnyl0fOYGQOh74R5O6AID/HXT8exoREZFtWRxu4uPjMXz4cBw/fhzu7u7S9t69e2Pnzp2yFudMhF2vl7LeY+3L7nWzMe2CwpUQEZG9szjc7N27t8o7EQcHB5stDyeyREybIGg0wKH0PGTkFSldDhER2TGLw41er0deXl6l7ceOHUO9evVkKcqZ2etqKWv5e+rRPMATAHA8s0DhaoiIyJ5ZHG769euHadOmwWAwACibPHru3Dm8+eabeOqpp2Qv0Fk4wmopa7m5ln0dTWwMIiKygsXh5sMPP0RBQQECAgJw/fp1dOnSBc2aNYOXlxemT59uixrJSZQ/eoLRhoiIrGHxfW58fHyQlJSEn3/+GWlpaSgoKMB9992H6OhoW9TndOzx2VJyKR+SY8cNERFZw+JwU65z585mTwYnslZ5rGO2ISIia1gUbkwmE5YuXYp169bhzJkz0Gg0aNKkCQYMGIChQ4dW+6ZtVBl/0CF13Qh23RARkRWqPedGCIF+/frh+eefR3p6OsLCwtCmTRucPXsWw4cPxxNPPGHLOomIiIiqpdo9N0uXLsXOnTuRnJyMRx55xOy9bdu2oX///li2bBliY2NlL9KZOHPnl3Tp7LghIiIrVLvn5uuvv8akSZMqBRsA6NatGyZMmIAVK1bIWpwz4UjMTROKlS2DiIjsXLXDTVpaGh599NFbvt+rVy8cOHBAlqLIOUkTipluiIjICtUONzk5OQgMDLzl+4GBgbhy5YosRTkzpx6WKp9QzL4bIiKyQrXDjdFohKvrrafoaLValJaWylKUc+IPOntuiIhIDtWeUCyEwPDhw6HX66t8v7i4WLaiyDlxzg0REcmh2uFm2LBhd9yHK6Ws59R3KAbvc0NERNardrhZsmSJLetwevw9B5w41xERkYwsfnAmERERkZox3KiMU6+WuvFP9mIREZE1GG5INTihmIiI5MBwoxL8QeeEYiIikgfDDakGe26IiEgODDcq48RTbirCDdMNERFZgeFGJTgUc9OwlMJ1EBGRfWO4IdXQcLkUERHJgOFGZZx5KTgREZEcGG5Ugn0VFdgWRERkDYYbUg2NpnwpuMKFEBGRXWO4UR3nHZeSptyw74aIiKzAcKMS7K3gUnAiIpIHww2pRkXPDRERUc0x3KiMM6+W4pwbIiKSA8ONSvAmfjfPNmJbEBFRzTHckGpwzg0REcmB4UZlnHhUioiISBYMN6QifLYUERFZj+FGJfiDzmEpIiKSB8MNqQZv4kdERHJguFEZjROvBWfPDRERyYHhRi34gw4N59wQEZEMGG5INaROK3bdEBGRFRhuVMZ5B6VuGpZStgwiIrJzDDcqwR/0m4al2BhERGQFhhsiIiJyKAw3KuPEi6WkMTl23BARkTUYblSCD8686T43bAsiIrICww2pRvk9fhhtiIjIGgw3KqNx4vVSXAlORERyYLgh1XDq+UZERCQbVYSbuXPnIjQ0FO7u7oiMjMSePXtuue+iRYvw0EMPwc/PD35+foiOjr7t/vaCnRWcc0NERPJQPNysWrUK8fHxmDp1Kvbv34/27dsjJiYGWVlZVe6/Y8cODB48GNu3b8euXbsQEhKCnj17Ij09/S5XTnLjnBsiIpKD4uFm1qxZGDVqFOLi4tC6dWssWLAAHh4eWLx4cZX7r1ixAq+88go6dOiAVq1a4fPPP4fJZEJycvJdrtw2nHloxokvnYiIZKRouCkpKcG+ffsQHR0tbXNxcUF0dDR27dpVrXMUFhbCYDCgTp06tirzruBITAW2BRERWcNVyQ/Pzs6G0WhEYGCg2fbAwEAcOXKkWud488030aBBA7OAdLPi4mIUFxdLr/Py8gAABoMBBoOhhpVXrfx8NTtv2S+6oVT+uuyFECYAQKnRCKCm7UjlrPs+Ujm2ozzYjvJw5na05JoVDTfWeu+997By5Urs2LED7u7uVe4zY8YMJCYmVtq+detWeHh42KSupKQki48xGrUANNixfQfqVn0pDi893QWAC44fO4ZGwTVrR6qM7SgPtqM82I7ycMZ2LCwsrPa+ioYbf39/aLVaZGZmmm3PzMxEUFDQbY/94IMP8N577+GHH35Au3btbrnfxIkTER8fL73Oy8uTJiF7e3tbdwF/YzAYkJSUhB49ekCn01l07JspPwAmEx555BE09Ksla1324sd1h7Dn0gU0a94cKDxWo3akCtZ8H6kC21EebEd5OHM7lo+8VIei4cbNzQ0dO3ZEcnIy+vfvDwDS5OAxY8bc8rj3338f06dPx5YtWxAREXHbz9Dr9dDr9ZW263Q6m30xrDm3q6ur031hy2ldyqaAubhoAdj278iZsB3lwXaUB9tRHs7YjpZcr+LDUvHx8Rg2bBgiIiLQqVMnzJ49G9euXUNcXBwAIDY2FsHBwZgxYwYAYObMmUhISMBXX32F0NBQZGRkAAA8PT3h6emp2HXIxalXS5U/OJMziomIyAqKh5uBAwfi0qVLSEhIQEZGBjp06IDNmzdLk4zPnTsHF5eKRV3z589HSUkJBgwYYHaeqVOn4u23376bpcuKv+cVj55gUxARkTUUDzcAMGbMmFsOQ+3YscPs9ZkzZ2xfECmioudG2TqIiMi+KX4TPzKnceJxKSe+dCIikhHDjUqws6IC24KIiKzBcEMqcmPODceliIjICgw3KuPMIzPSnBtlyyAiIjvHcEOqIQU7phsiIrICw41a8Af9pp4bNgYREdUcww2phnSfG2YbIiKyAsONyjjzcmjOuSEiIjkw3KgEh2Iq5tyw54aIiKzBcENEREQOheFGZTROvBi8/O7M7MUiIiJrMNyoBIdibsK2ICIiKzDckGpwQjEREcmB4UZlnHq1FJeCExGRDBhuVIK/57yJHxERyYPhhlSDS8GJiEgODDcq48SjUpxzQ0REsmC4IdXQOPOEIyIikg3DjUoIjsVI2BZERGQNhhtSDfbbEBGRHBhu1MaZf+HL59yw44aIiKzAcKMS/D2/6T43CtdBRET2jeGGVENaLcWuGyIisgLDjco49YMzb/yT0YaIiKzBcKMS7Ky4uedG2TqIiMi+MdyQanDODRERyYHhRmWc+T52znztREQkH4YbUh+OSxERkRUYbkg1OKGYiIjkwHCjMk49MnNjXIodN0REZA2GGxXgfV3KVPTcsD2IiKjmGG5INbgUnIiI5MBwozIaJ14yxKXgREQkB4YbUg323BARkRwYblSAP+ZlKvqs2CBERFRzDDekGk48IkdERDJiuFEZ/r6zJ4uIiKzDcKMC/C0vUz6Zmu1BRETWYLgh1WHPDRERWYPhRmWced6JtFqKfTdERGQFhhsV4B2Ky0j3uWFzEBGRFRhuSDUqem6IiIhqjuFGZTROvF5KunJ23RARkRUYblSAP+VlnHm+ERERyYfhhlSDc26IiEgODDdqw94L9mQREZFVGG5UgD0VZfjgTCIikgPDDakO73NDRETWYLgh1ZAev8BsQ0REVmC4URlnXjFUfunMNkREZA2GGxXgMEwZDdMNERHJgOGGVKMi2zDdEBFRzTHcqIwTj0pJc26IiIiswXCjApxAa47tQURE1mC4IdXggzOJiEgODDcq48xDM9KcG3bdEBGRFRhuSD3K73OjcBlERGTfVBFu5s6di9DQULi7uyMyMhJ79uy57f5r1qxBq1at4O7ujrCwMGzatOkuVUq2VNFzo2gZRERk5xQPN6tWrUJ8fDymTp2K/fv3o3379oiJiUFWVlaV+//6668YPHgwRo4cid9//x39+/dH//79cejQobtcuW0476CUc9/AkIiI5OOqdAGzZs3CqFGjEBcXBwBYsGAB/ve//2Hx4sWYMGFCpf0//vhjPProo3j99dcBAO+88w6SkpLw6aefYsGCBXe19psVlxpxMfc6coqB9NzrcHU1WHCsyYaV2Q/NjWhXWGKsUTuSudLSUrajDNiO8mA7ysNe2tHN1QUBXu6Kfb6i4aakpAT79u3DxIkTpW0uLi6Ijo7Grl27qjxm165diI+PN9sWExOD9evXV7l/cXExiouLpdd5eXkAAIPBAINBvi/GgfO5eGbhHgCuSNz/U43PYzAYYHBxznEZk8kIAPjl5GX8YmU7Ujm2ozzYjvJgO8pD/e0YHuKD1S9EynpOS36zFQ032dnZMBqNCAwMNNseGBiII0eOVHlMRkZGlftnZGRUuf+MGTOQmJhYafvWrVvh4eFRw8orO5MP6DRaq87R0ldgxw9bnXZ4pvA64OemRYF6/2OEiIiqIf9qruzzYQsLC6u9r+LDUrY2ceJEs56evLw8hISEoGfPnvD29pb1s0YZDEhKSkKPHj2g0+lkPbeziHuqLJ2zHa3HdpQH21EebEd5OHM7lo+8VIei4cbf3x9arRaZmZlm2zMzMxEUFFTlMUFBQRbtr9frodfrK23X6XQ2+2LY8tzOhO0oD7ajPNiO8mA7ysMZ29GS61V0tZSbmxs6duyI5ORkaZvJZEJycjKioqKqPCYqKspsfwBISkq65f5ERETkXBQfloqPj8ewYcMQERGBTp06Yfbs2bh27Zq0eio2NhbBwcGYMWMGAGDs2LHo0qULPvzwQ/Tp0wcrV65ESkoKFi5cqORlEBERkUooHm4GDhyIS5cuISEhARkZGejQoQM2b94sTRo+d+4cXFwqOpgeeOABfPXVV5g8eTImTZqE5s2bY/369Wjbtq1Sl0BEREQqoni4AYAxY8ZgzJgxVb63Y8eOStuefvppPP300zauioiIiOyR4ncoJiIiIpITww0RERE5FIYbIiIicigMN0RERORQGG6IiIjIoTDcEBERkUNhuCEiIiKHwnBDREREDoXhhoiIiByKKu5QfDcJIQBY9uj06jIYDCgsLEReXp7TPa1VTmxHebAd5cF2lAfbUR7O3I7lv9vlv+O343ThJj8/HwAQEhKicCVERERkqfz8fPj4+Nx2H42oTgRyICaTCRcuXICXlxc0Go2s587Ly0NISAjOnz8Pb29vWc/tTNiO8mA7yoPtKA+2ozycuR2FEMjPz0eDBg3MHqhdFafruXFxcUHDhg1t+hne3t5O96WzBbajPNiO8mA7yoPtKA9nbcc79diU44RiIiIicigMN0RERORQGG5kpNfrMXXqVOj1eqVLsWtsR3mwHeXBdpQH21EebMfqcboJxUREROTY2HNDREREDoXhhoiIiBwKww0RERE5FIYbIiIicigMNzKZO3cuQkND4e7ujsjISOzZs0fpklRtxowZuP/+++Hl5YWAgAD0798fR48eNdunqKgIo0ePRt26deHp6YmnnnoKmZmZClVsH9577z1oNBqMGzdO2sZ2rJ709HQ899xzqFu3LmrVqoWwsDCkpKRI7wshkJCQgPr166NWrVqIjo7G8ePHFaxYfYxGI6ZMmYImTZqgVq1aaNq0Kd555x2zZwGxHSvbuXMn+vbtiwYNGkCj0WD9+vVm71enzXJycjBkyBB4e3vD19cXI0eOREFBwV28CpURZLWVK1cKNzc3sXjxYvHHH3+IUaNGCV9fX5GZmal0aaoVExMjlixZIg4dOiRSU1NF7969RaNGjURBQYG0z0svvSRCQkJEcnKySElJEf/4xz/EAw88oGDV6rZnzx4RGhoq2rVrJ8aOHSttZzveWU5OjmjcuLEYPny42L17tzh16pTYsmWLOHHihLTPe++9J3x8fMT69evFgQMHRL9+/USTJk3E9evXFaxcXaZPny7q1q0rNm7cKE6fPi3WrFkjPD09xccffyztw3asbNOmTeKtt94S69atEwDEN998Y/Z+ddrs0UcfFe3btxe//fab+Omnn0SzZs3E4MGD7/KVqAfDjQw6deokRo8eLb02Go2iQYMGYsaMGQpWZV+ysrIEAPHjjz8KIYTIzc0VOp1OrFmzRtrnzz//FADErl27lCpTtfLz80Xz5s1FUlKS6NKlixRu2I7V8+abb4rOnTvf8n2TySSCgoLEv//9b2lbbm6u0Ov14uuvv74bJdqFPn36iBEjRphte/LJJ8WQIUOEEGzH6vh7uKlOmx0+fFgAEHv37pX2+f7774VGoxHp6el3rXY14bCUlUpKSrBv3z5ER0dL21xcXBAdHY1du3YpWJl9uXr1KgCgTp06AIB9+/bBYDCYtWurVq3QqFEjtmsVRo8ejT59+pi1F8B2rK4NGzYgIiICTz/9NAICAhAeHo5FixZJ758+fRoZGRlm7ejj44PIyEi2400eeOABJCcn49ixYwCAAwcO4Oeff0avXr0AsB1rojpttmvXLvj6+iIiIkLaJzo6Gi4uLti9e/ddr1kNnO7BmXLLzs6G0WhEYGCg2fbAwEAcOXJEoarsi8lkwrhx4/Dggw+ibdu2AICMjAy4ubnB19fXbN/AwEBkZGQoUKV6rVy5Evv378fevXsrvcd2rJ5Tp05h/vz5iI+Px6RJk7B37168+uqrcHNzw7Bhw6S2qurfc7ZjhQkTJiAvLw+tWrWCVquF0WjE9OnTMWTIEABgO9ZAddosIyMDAQEBZu+7urqiTp06TtuuDDekuNGjR+PQoUP4+eeflS7F7pw/fx5jx45FUlIS3N3dlS7HbplMJkRERODdd98FAISHh+PQoUNYsGABhg0bpnB19mP16tVYsWIFvvrqK7Rp0wapqakYN24cGjRowHaku4rDUlby9/eHVquttPokMzMTQUFBClVlP8aMGYONGzdi+/btaNiwobQ9KCgIJSUlyM3NNduf7Wpu3759yMrKwn333QdXV1e4urrixx9/xJw5c+Dq6orAwEC2YzXUr18frVu3Ntt277334ty5cwAgtRX/Pb+9119/HRMmTMCgQYMQFhaGoUOHYvz48ZgxYwYAtmNNVKfNgoKCkJWVZfZ+aWkpcnJynLZdGW6s5Obmho4dOyI5OVnaZjKZkJycjKioKAUrUzchBMaMGYNvvvkG27ZtQ5MmTcze79ixI3Q6nVm7Hj16FOfOnWO73qR79+44ePAgUlNTpT8REREYMmSI9L/Zjnf24IMPVroVwbFjx9C4cWMAQJMmTRAUFGTWjnl5edi9ezfb8SaFhYVwcTH/WdFqtTCZTADYjjVRnTaLiopCbm4u9u3bJ+2zbds2mEwmREZG3vWaVUHpGc2OYOXKlUKv14ulS5eKw4cPixdeeEH4+vqKjIwMpUtTrZdffln4+PiIHTt2iIsXL0p/CgsLpX1eeukl0ahRI7Ft2zaRkpIioqKiRFRUlIJV24ebV0sJwXasjj179ghXV1cxffp0cfz4cbFixQrh4eEhli9fLu3z3nvvCV9fX/Htt9+KtLQ08fjjjzv9Eua/GzZsmAgODpaWgq9bt074+/uLN954Q9qH7VhZfn6++P3338Xvv/8uAIhZs2aJ33//XZw9e1YIUb02e/TRR0V4eLjYvXu3+Pnnn0Xz5s25FJys98knn4hGjRoJNzc30alTJ/Hbb78pXZKqAajyz5IlS6R9rl+/Ll555RXh5+cnPDw8xBNPPCEuXryoXNF24u/hhu1YPd99951o27at0Ov1olWrVmLhwoVm75tMJjFlyhQRGBgo9Hq96N69uzh69KhC1apTXl6eGDt2rGjUqJFwd3cX99xzj3jrrbdEcXGxtA/bsbLt27dX+f+Hw4YNE0JUr80uX74sBg8eLDw9PYW3t7eIi4sT+fn5ClyNOmiEuOnWkURERER2jnNuiIiIyKEw3BAREZFDYbghIiIih8JwQ0RERA6F4YaIiIgcCsMNERERORSGGyIiInIoDDdERETkUBhuiEhxw4cPR//+/RX7/KFDh0pPBL+TQYMG4cMPP7RxRURkDd6hmIhsSqPR3Pb9qVOnYvz48RBCwNfX9+4UdZMDBw6gW7duOHv2LDw9Pe+4/6FDh/Dwww/j9OnT8PHxuQsVEpGlGG6IyKYyMjKk/71q1SokJCSYPYHb09OzWqHCVp5//nm4urpiwYIF1T7m/vvvx/DhwzF69GgbVkZENcVhKSKyqaCgIOmPj48PNBqN2TZPT89Kw1Jdu3bFP//5T4wbNw5+fn4IDAzEokWLcO3aNcTFxcHLywvNmjXD999/b/ZZhw4dQq9eveDp6YnAwEAMHToU2dnZt6zNaDRi7dq16Nu3r9n2efPmoXnz5nB3d0dgYCAGDBhg9n7fvn2xcuVK6xuHiGyC4YaIVOnLL7+Ev78/9uzZg3/+8594+eWX8fTTT+OBBx7A/v370bNnTwwdOhSFhYUAgNzcXHTr1g3h4eFISUnB5s2bkZmZiWeeeeaWn5GWloarV68iIiJC2paSkoJXX30V06ZNw9GjR7F582Y8/PDDZsd16tQJe/bsQXFxsW0unoiswnBDRKrUvn17TJ48Gc2bN8fEiRPh7u4Of39/jBo1Cs2bN0dCQgIuX76MtLQ0AMCnn36K8PBwvPvuu2jVqhXCw8OxePFibN++HceOHavyM86ePQutVouAgABp27lz51C7dm089thjaNy4McLDw/Hqq6+aHdegQQOUlJSYDbkRkXow3BCRKrVr107631qtFnXr1kVYWJi0LTAwEACQlZUFoGxi8Pbt26U5PJ6enmjVqhUA4OTJk1V+xvXr16HX680mPffo0QONGzfGPffcg6FDh2LFihVS71C5WrVqAUCl7USkDgw3RKRKOp3O7LVGozHbVh5ITCYTAKCgoAB9+/ZFamqq2Z/jx49XGlYq5+/vj8LCQpSUlEjbvLy8sH//fnz99deoX78+EhIS0L59e+Tm5kr75OTkAADq1asny7USkbwYbojIIdx33334448/EBoaimbNmpn9qV27dpXHdOjQAQBw+PBhs+2urq6Ijo7G+++/j7S0NJw5cwbbtm2T3j906BAaNmwIf39/m10PEdUcww0ROYTRo0cjJycHgwcPxt69e3Hy5Els2bIFcXFxMBqNVR5Tr1493Hffffj555+lbRs3bsScOXOQmpqKs2fPYtmyZTCZTGjZsqW0z08//YSePXva/JqIqGYYbojIITRo0AC//PILjEYjevbsibCwMIwbNw6+vr5wcbn1/9U9//zzWLFihfTa19cX69atQ7du3XDvvfdiwYIF+Prrr9GmTRsAQFFREdavX49Ro0bZ/JqIqGZ4Ez8icmrXr19Hy5YtsWrVKkRFRd1x//nz5+Obb77B1q1b70J1RFQT7LkhIqdWq1YtLFu27LY3+7uZTqfDJ598YuOqiMga7LkhIiIih8KeGyIiInIoDDdERETkUBhuiIiIyKEw3BAREZFDYbghIiIih8JwQ0RERA6F4YaIiIgcCsMNERERORSGGyIiInIo/w/9gpqNqrnJiwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "time_list, deployment_level_list = [], []\n", + "\n", + "obs_vars = test_flight.get_controller_observed_variables()\n", + "\n", + "for time, deployment_level in obs_vars:\n", + " time_list.append(time)\n", + " deployment_level_list.append(deployment_level)\n", + "\n", + "# Plot deployment level by time\n", + "plt.plot(time_list, deployment_level_list)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Deployment Level\")\n", + "plt.title(\"Deployment Level by Time\")\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "from rocketpy.simulation.flight_data_importer import FlightDataImporter" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following attributes were create and are now available to be used: ['time', 'altitude', 'az']\n" + ] + } + ], + "source": [ + "columns_map = {\n", + " \"ts\": \"time\",\n", + " \"filtered_altitude_AGL\": \"altitude\",\n", + " \"filtered_acceleration\": \"az\",\n", + "}\n", + "\n", + "cots_altimeter_flight = FlightDataImporter(\n", + " name=\"COTS Altimeter Flight\",\n", + " paths=\"../../data/rockets/camoes/flight_data.csv\",\n", + " columns_map=columns_map,\n", + " units=None,\n", + " interpolation=\"linear\",\n", + " extrapolation=\"zero\",\n", + " delimiter=\",\",\n", + " encoding=\"utf-8\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Function.compare_plots(\n", + " [\n", + " (test_flight.altitude, \"RocketPy\"),\n", + " (cots_altimeter_flight.altitude, \"COTS Altimeter\"),\n", + " ],\n", + " title=\"Altitude Comparison\",\n", + " xlabel=\"Time (s)\",\n", + " ylabel=\"Altitude (m)\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The following attributes were create and are now available to be used: ['time', 'latitude', 'longitude']\n" + ] + } + ], + "source": [ + "columns_map = {\n", + " \"ts\": \"time\",\n", + " \"latitude\": \"latitude\",\n", + " \"longitude\": \"longitude\",\n", + "}\n", + "\n", + "cots_gnss_flight = FlightDataImporter(\n", + " name=\"COTS GNSS Flight\",\n", + " paths=\"../../data/rockets/camoes/gnss_flight.csv\",\n", + " columns_map=columns_map,\n", + " units=None,\n", + " interpolation=\"linear\",\n", + " extrapolation=\"zero\",\n", + " delimiter=\",\",\n", + " encoding=\"utf-8\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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eIzs7W5k6dari5uam2NnZKffcc49y+fLlEpcbiIuLU5566inFz89P0Wq1ire3t9K/f3/l448/LtNrlZ+fr3z66adKz549FScnJ0Wr1Sr+/v7KxIkTiy0BcPDgQSU0NFSxt7dXbG1tlb59+yq7du0q8bW/cYmFonreOH1+/Pjxip2dnelx0dT4N998U1myZIni5+en6HQ6pWfPnsqRI0fMzr1y5Ypy//33K87OzoqTk5MyYsQIJTo6utjrVNq9r3+uSFhYmHLfffcpvr6+irW1teLr66uMHj1aOX36tNl5cXFxysSJExV3d3fF2tpaad26tbJ69WqzMtfX5UYlvZdCVHcqRZGRc3ciKSnJ7D/XMWPGMHz4cLMB0AEBASUu73/lyhX8/PzYtWsXwcHBN71PYmIiVlZWODs74+3tzf/93/8xc+bMEsveeN2XXnqJTZs2ma1mW1QmPDycrl27YmNjw/z580scuN2wYUOzsQd//fUXffv2JTk52TRNWAhRfhcvXiQwMJA333yTZ5991tLhCCGuI11sd8jV1RVXV1fTYxsbGzw9PWncuPEtzy2aeVLU138z7u7uAGzdupX4+HjuvffeMl83Kyur2BTdojENRWU7dOhAREREmeIWQgghajtJkKrInj172LdvHz169MDFxYVz587x0ksv0ahRI1PrUVRUFP379+fzzz+nc+fOAKxevZrmzZvj4eFBeHg406ZN45lnnjHN+CnLdYcOHcrSpUtZsGABo0ePJj09nRdeeAF/f3/at28PwNy5c7n77rtp0KABDz74IGq1miNHjnD8+HFeffVVAGJjY4mNjTWNDzl27BgODg40aNDALEkUQgghajqZxVZFbG1tWbduHf3796dp06ZMmjSJNm3asG3bNtMsNYPBQEREBFlZWabzIiIiGDZsGM2bN2fBggW8+OKLvPXWW+W6br9+/fj6669Zv3497du3Z9CgQeh0OjZt2mRaKyU0NJQNGzawefNm7rrrLrp27WraPLPIihUraN++PZMnTwagV69etG/fnl9++aXSXz8hhBCiKskYJCGEEEKIG0gLkhBCCCHEDSRBEkIIIYS4gQzSvk1Go5Ho6GgcHBzKvT2DEEIIISxDURTS09Px9fUtNsP7epIg3abo6OgK349JCCGEEFXj8uXL1K9fv9TnJUG6TUXL61++fLnC92WCwhltmzdvZuDAgaXu1VZbSd2l7lL3ukPqLnWv6rqnpaXh5+d3y21yJEG6TUXdao6OjpWWINna2uLo6Fgnf3Ck7lL3ukTqLnWXule9Ww2PkUHaQgghhBA3kARJCCGEEOIGkiAJIYQQQtxAxiAJIYSolvLz88nLy7N0GJXGYDCg1WrJysqqk2OQKqvu1tbWWFndeXojCZIQQohqRVEUIiMjSUxMtHQolc7Ly8u0AXhdU5l1d3d3p0GDBne0TqEkSEIIIaqVouSoXr162Nvb33QxPyGuZzQaycjIICoqCsBsw/XykgRJCCFEtZGfn29Kjry9vS0djqiB7O3tAYiKiiIzM5PmzZvfVkuSpOVCCCGqjaIxR0V/5IS4HUXfPzt27ODo0aMoilLua0iCJIQQotqRbjVxJ4q+f1QqFTt27CA9Pb3816jooIQQQgghqgMHBweys7PJyMgo97kWT5Def/99AgIC0Ov1dOnShb179960/Nq1a2nWrBl6vZ7WrVuzceNGs+fXrVvHwIEDcXNzQ6VScfjw4WLXyMnJ4amnnsLNzQ17e3uGDx9OXFxcRVZLCCGEqFATJkxg2LBhlg6jRlGr1SiKgtFoLP+5lRBPmX333XfMmDGDefPmcfDgQdq2bUtoaCjx8fEllt+1axejR49m0qRJHDp0iGHDhjFs2DCOHz9uKpOZmUmPHj144403Sr3vM888w6+//sratWvZtm0b0dHRPPDAAxVePyGEEHXHhAkTUKlUqFQqtFotgYGBPPfcc+Tk5Fg6NABefvll2rVrV+x4QECAKW47Ozs6dOjA2rVrqz7AasaiCdLbb7/N5MmTmThxIi1atGDFihXY2tqyatWqEsu/8847DBo0iJkzZ9K8eXNeeeUVOnTowHvvvWcqM3bsWObOnUtISEiJ10hNTWXlypW8/fbb9OvXj44dO7J69Wp27drF7t27K6We5RGXnc6ljCR2RcUQkZ1DZi1eJE0IIWqbQYMGERMTw/nz51m6dCkfffQR8+bNs3RYt7RgwQJiYmI4dOgQd911Fw899BC7du2ydFgWZbFp/nl5eRw4cIDZs2ebjqnVakJCQggPDy/xnPDwcGbMmGF2LDQ0lPXr15f5vgcOHMBgMJglUM2aNaNBgwaEh4fTtWvXEs/Lzc0lNzfX9DgtLQ0oXA3UYDCU+f63Mm7b12yOOWN6POvb/XiqvPko+D6GNr799RxqkqLXsyJf15pC6i51r2turHtNfw10Op1peQI/Pz9CQkLYsmULb7zxBrm5ucycOZNvv/2WtLQ0OnXqxNKlS7nrrrtM5584cYJZs2axfft2FEWhXbt2fPbZZzRq1KjYvfbt28eQIUN49tlnmTVrFikpKTz77LP8/PPP5Obmmq7ftm1bPvvsM+bPnw/8u4v96tWrmTBhAlA4Vsfb2xtvb2/ef/99vvzyS3799Vfy8/Pp378/ly9fNlt2Yfr06Rw4cIC///67sl7KCmE0GjEajeTn55f7e8xiCVJiYiIFBQV4eXmZHffy8uLUqVMlnhMbG1ti+djY2DLfNzY2Fmtra5ydnct1nUWLFpm+ua63efNmbG1ty3z/W0lOv4o1agxK4WqyqBXiieH+7Z8x9s92DK9Xd5aj37Jli6VDsBipe90kdQetVlvs97yiKGTlFVR5TLbWmjtaifn48ePs2rXLtFjhc889x48//siaNWvw9/dn8eLFhIaGcvbsWVxdXYmKiqJXr1706dOHrVu34ujoyM6dO8nPzy927a1bt/LAAw+wePFiHnvsMQBGjBiBjY0Nv/32G05OTnz00Uf079+f06dP89BDD3H8+HE2bdrEH3/8AYCTk1OJcVtZWaHVasnLy6NXr140bNiQL774gpkzZwKFCcZXX33F4sWLb/u1qSqXL18mOjqabdu2mf7uZ2VllelcWSiyjGbPnm3WepWWloafnx8DBw7E0dGxwu4zhCFA4Tfgb79vJqdRYx47sJYs60y+SDtDL4+HGH+XX4XdrzoyGAxs2bKFAQMG1Mn9iaTuUve65Ma6Z2VlFdt+IiuvAPsXfqvy2DIWDsZOV74/kxs2bMDe3p78/Hxyc3NRq9W89957ZGZm8uGHH/LZZ58xePBgAD755BO2bNnCypUrmTlzJu+//z5OTk58++23pu+DJk2aFLvHTz/9xLhx4/j000956KGHgML1fvbu3Ut8fDw6nQ6At956i/Xr1/PDDz/w2GOPYW9vj5WV1U0X4MzLy2PJkiWkpqbSr18/ACZNmsTq1atNCdKvv/5KTk4OI0eOLNdrYwl+fn4YjUZ69+5NvXr1gH97gG7FYgmSu7s7Go2m2OyxuLi4Ut88b2/vcpUv7Rp5eXmkpKSYtSLd6jo6nc70TXc9rVZbab/QrNQqRjZvSnPfyXT+dTkFjld5Ytsf1PMJYXBgw0q5Z3VSma9tdSd1l7rXNUV1r+n179u3Lx9++CGZmZksXboUKysrhg8fztGjRzEYDHTv3t1UVqvV0rlzZ/755x8ADh8+TM+ePW/6GuzZs4cNGzbwww8/mM1oO3LkCBkZGbi5uZmVz87O5ty5c7eMe9asWcyZM4ecnBzs7e15/fXXGTp0KFA4+HzOnDns3r2brl278tlnnzFy5Ejs7OzK89JYhFqtRq1Wm1rFgDJ/j1ksQbK2tqZjx46EhYWZ3mSj0UhYWBhTpkwp8Zzg4GDCwsKYPn266diWLVsIDg4u8307duyIVqslLCyM4cOHAxAREUFkZGS5rlOVOrjX55FGHVhzbj/53qcZ8udpTrg8SwtnWYZfCFH72VpryFg42CL3LS87OzsaN24MwKpVq2jbti0rV640G2dUGhsbm1uWadSoEW5ubqxatYqhQ4ea/thnZGTg4+PDX3/9VeycG4eUlGTmzJlMmDABe3t7vLy8zLoWPT09ueeee1i9ejWBgYH89ttvJd6ntrFoF9uMGTMYP348nTp1onPnzixbtozMzEwmTpwIwLhx46hXrx6LFi0CYNq0afTu3ZslS5YwdOhQvv32W/bv38/HH39sumZSUhKRkZFER0cDhckPYBp85uTkxKRJk5gxYwaurq44Ojry9NNPExwcXOoA7epgXvsBnE65SnjcZbDK59PjR3i7hyRIQojaT6VSlburqzpQq9W88MILzJgxg7Nnz2Jtbc3OnTtNY5IMBgP79u0z/dPfpk0b1qxZg8FgKLWVw93dnXXr1tGnTx9GjhzJ999/j1arpUOHDsTGxmJlZUVAQECJ51pbW1NQUPJYLnd3d1NiV5L//Oc/jB49mvr169OoUSOzlrDayqLT/B966CHeeust5s6dS7t27Th8+DCbNm0yDdCLjIwkJibGVL5bt258/fXXfPzxx7Rt25YffviB9evX06pVK1OZX375hfbt25uaBkeNGkX79u1ZsWKFqczSpUu5++67GT58OL169cLb25t169ZVUa1vT6CDG7vufYr2+pYAfHfmHwtHJIQQ4lZGjBiBRqPhww8/5IknnmDmzJls2rSJkydPMnnyZLKyspg0aRIAU6ZMIS0tjVGjRrF//37OnDnDF198YfpHv4inpydbt27l1KlTjB49mvz8fEJCQggODmbYsGFs3ryZixcvsmvXLl588UX2798PFK53dOHCBQ4fPkxiYqLZzOxbCQ0NxdHRkVdffdXUiFHbWXwl7SlTpnDp0iVyc3PZs2cPXbp0MT33119/8dlnn5mVHzFiBBEREeTm5nL8+HGGDBli9vyECRNQFKXYx8svv2wqo9fref/990lKSiIzM5N169bVmF2jn+nYHoBoQzyRSWUbiS+EEMIyrKysmDJlCosXL+a1115j+PDhjB07lg4dOnD27Fl+//13XFxcAHBzc2Pr1q1kZGTQu3dvOnbsyCeffFJia5K3tzdbt27l2LFjjBkzBqPRyMaNG+nVqxcTJ06kSZMmjBo1ikuXLpkaHYYPH86gQYPo27cvHh4efPPNN2Wuh1qtZsKECRQUFDBu3LiKeXGquZrXZlnHPdikKeN3q1C0eSzbc5K3B3eydEhCCCGg2D/0RZ5//nmef/55AJYvX87y5ctLvUabNm34/fffy3R9Hx8fs9YlBweHm15fp9Pxww8/FDt+8eLFUuO5XlRUFEOGDMHHx6dM5Ws6i7cgifKxsdLSyK6wteuLf05iNCoWjkgIIURtlpqayo4dO/j66695+umnLR1OlZEEqQYa6h8EQKKSwK6LSRaORgghRG123333MXDgQB5//HEGDBhg6XCqjHSx1UB9fRryzj/bwT6ZtUei6dHQ7dYnCSGEELehLkzpL4m0INVAIb5B6NVasM7hm4hT0s0mhBBCVDBJkGogO62O+/0LlzZIsLrMvssplg1ICCGEqGUkQaqhxgddm73mlMB3R6IsG4wQQghRy0iCVEP192mMk5UtWBlYe/64pcMRQgghahVJkGooK7WGUQ3bAXBFieT81UzLBiSEEELUIpIg1WCTmlzrZnNMZN3xK5YNRgghhKhFJEGqwTq5++Fu5QRqI1+ePmrpcIQQQlRTKpWK9evXWzqMGkUSpBpMpVIxpH5zAI5lRJKZm2/hiIQQom4LDw9Ho9GYNkwvj4CAAJYtW1bxQVWgvLw83nzzTTp06ICdnR1OTk60bduWOXPmEB0dbSo3YcIEVCoVr7/+utn569evR6VSmR375JNPaNu2Lfb29jg7O9O+fXsWLVpkej4rK4vZs2fTqFEj9Ho9Hh4e9O7dm59//rlS6yoJUg03olELAIw2yYSdSbRwNEIIUbetXLmSp59+mu3bt5slDLVBbm4uAwYMYOHChUyYMIHt27dz7Ngxli9fTmJiIu+++65Zeb1ezxtvvEFycnKp11y1ahXTp09n6tSpHD58mJ07d/Lcc8+RkZFhKvP444+zbt063n33XU6dOsWmTZt48MEHuXr1aqXVFSRBqvF6eTdEhQp0OXx74pylwxFCiDorIyOD7777jieeeIKhQ4eWuHntr7/+yl133YVer8fd3Z37778fgD59+nDp0iWeeeYZVCqVqZXl5Zdfpl27dmbXWLZsGQEBAabH+/btY8CAAbi7u+Pk5ETv3r05ePBghddv6dKl7Nixg61btzJ16lQ6duxIgwYN6N27NytWrGDhwoVm5UNCQvD29jZrDbrRL7/8wsiRI5k0aRKNGzemZcuWjB49mtdee82szAsvvMCQIUMICAigY8eOPP300zz66KMVXsfrSYJUwzla62lqX7h57aYrZ1AUWVVbCFG7KIpCpiG3yj/K+/v0+++/p1mzZjRt2pRHHnmEVatWmV3jf//7H/fffz9Dhgzh0KFDhIWF0blzZwDWrVtH/fr1WbBgATExMcTExJT5vunp6YwfP54dO3awe/dugoKCGDJkCOnp6eWK/1a++eYbBgwYQPv27Ut8/sauM41Gw8KFC3n33Xe5cqXkiUTe3t7s3r2bS5culXpfb29vNm7cWOH1uRXZi60WuDegOaeOx5CsjudEbDqtfBwtHZIQQlSYrPw87L98scrvm/HIa9hpdWUuv3LlSh555BEABg0aRGpqKtu2baNPnz4AvPbaa4waNYr58+ebzmnbti0Arq6uaDQaHBwc8Pb2Llec/fr1M3v88ccf4+zszLZt27j77rvLda2bOX36tKkuRe6//362bNkCQJs2bdi1a1ex59u1a8e8efNYuXJlsWvOmzePBx54gICAAJo0aUJwcDBDhgzhwQcfRK1Wm+ozZswY3NzcaNu2LT169ODBBx+ke/fuFVa3kkgLUi1wt1+zwi+c4/ny2FnLBiOEEHVQREQEe/fuZfTo0QBYWVnx0EMPmSUFhw8fpn///hV+77i4OCZPnkxQUBBOTk44OjqSkZFBZGRkmc7/6quvsLe3N338/fffZb73Bx98wOHDh3n00UfJysoqscwbb7zBmjVr+Oeff4o95+PjQ3h4OMeOHWPatGnk5+czfvx4Bg0ahNFoBKBXr16cP3+esLAwHnzwQU6cOEHPnj155ZVXyhzn7ZAWpFog2NMfnUpLrmLg3csbeJ0Olg5JCCEqjK2VNRmPvHbrgpVw37JauXIl+fn5+Pr6mo4pioJOp+O9997DyckJGxubcsegVquLdfUZDAazx+PHj+fq1au88847+Pv7o9PpCA4OJi8vr0z3uPfee+nSpYvpcb169UosFxQUREREhNkxHx8foLAFrDS9evUiNDSU2bNnM2HChBLLtGrVilatWvHkk0/y+OOP07NnT7Zt20bfvn0B0Gq19OzZk549ezJr1ixeffVVFixYwKxZs7C2Lvv7VB6SINUCVmoNM1v059UTm8hSpRGbnoW3g62lwxJCiAqhUqnK1dVV1fLz8/n8889ZsmQJAwcONHtu2LBhfPPNNzz++OO0adOGsLAwJk6cWOJ1rK2tKSgoMDvm4eFBbGwsiqKYxvgcPnzYrMzOnTv54IMPGDJkCACXL18mMbHss5odHBxwcHC4ZbnRo0czZ84cDh06VOo4pNK8/vrrtGvXjqZNm96ybIsWhbOzMzNL3yGiRYsW5Ofnk5OTIwmSuLkFd/Vn0bEwCtQG1hyPYFZw+b55hRBC3J4NGzaQnJzMpEmTcHJyMntu+PDhrFy5kscff5x58+bRv39/GjVqxKhRo8jPz2fjxo3MmjULKFwHafv27YwaNQqdToe7uzt9+vQhISGBxYsX8+CDD7Jp0yZ+++03HB3/HWsaFBTEF198QadOnUhLS2PmzJm31Vp1K8888wz/+9//6N+/P/PmzaNnz564uLhw+vRpfvvtNzQaTanntm7dmjFjxrB8+XKz40888QS+vr7069eP+vXrExMTw6uvvoqHhwfBwcFA4Qy/0aNH06lTJ9zc3Dh58iQvvPACffv2NXsdKpqMQaolVCoVvtbuAPx6Tqb7CyFEVVm5ciUhISHFkiMoTJD279/P0aNH6dOnD2vXruWXX36hXbt29OvXj71795rKLliwgIsXL9KoUSM8PDwAaN68OR988AHvv/8+bdu2Ze/evTz77LPF7p+cnEyHDh0YO3YsU6dOxdPTs8LrqdfrCQsLY9asWaxevZoePXrQvHlzpk+fTvfu3W+5UveCBQtM44qKhISEsHv3bkaMGEGTJk0YPny46T5ubm4AhIaGsmbNGgYOHEjz5s15+umnCQ0N5fvvv6/wOl5Ppci88NuSlpaGk5MTqamplZLBGgwGNm7cyJAhQ9BqtWU658Hfv+XH6P3YpjUg/emnUatVtz6pGrqdutcWUnepe12ve1ZWFv/88w/NmzfH1laGCojbU/R9dO7cOS5dusTo0aOpX78+UPa/39KCVIsMCmgIQJY6lcPRqRaORgghhKi5JEGqRTq6X5t5oM/kfyfjLBuMEEIIUYNJglSLtHD2Qo0KrPJZH1G29S+EEEIIUZwkSLWITmOFn50LAAcTYknMyLVwREIIIUTNJAlSLdPUqXAmG9psNpyMt2wwQghxm26c7SREeRR9/9zJPDRJkGqZRo6F0yLRZfPT8bJvdiiEENVB0aJ/GRkZFo5E1GRF3z83rjpeHrJQZC3T2OFaC5J1Dr9HJJCRm4+9Tt5mIUTNYGVlhbu7O1FRUQDY29ubNi0V4laMRiMZGRlERUWRkpJyRy2R8pezlmnkUNiCpLPJJTffyKZT8TzY1vcWZwkhRPXRoEEDAFOSJER5paSkEBcXR0FBAWq1Giur8qc7kiDVMv92seUACuuOxUqCJISoUVQqFf7+/pw9e5aTJ0/i4eFRKxfQVBSFyMhIGjRoYNpnra6ozLobDAaMRiNGo5G4uDg8PDxua0FnSZBqmYbXWpBylTzQ5LPhZBy5+QXorErfI0cIIaqj7t27k56ezqlTpywdSqVQFIWYmBhyc3PrZIJU2XVXFAV3d3cGDx58W6uyS4JUy9haWeNj40hMdhrOHumkxGrZeiaRwc29LB2aEEKUi16vZ9CgQTRp0uSmO7vXVPn5+ezfv59OnTrdVhdQTVYVddfpdPj4+Jj2tSuvuvWO1BGNHN2IyU4jxf0YxPZi3bFYSZCEEDWSXq+nRYsWlg6jUhgMBuLj4+nUqVOt7EK8mZpQd5kaUAu92Kb/vw+0ufx8IpYCo+xJLIQQQpSVJEi10KD6zWjqVNik6OBgICEjj7/OJlo4KiGEEKLmkASpliqa7t8usLDp8tvD0ZYMRwghhKhRJEGqpYoWjPS9Njbtx6Mx5OXL0v1CCCFEWUiCVEs1dixMkHLVmfg46kjONrD5dIKFoxJCCCFqBkmQaqnG1xaMPJd+lZHXFor89pCsSiuEEEKUhSRItVRRF9u59EQealeYIK0/HktWXr4lwxJCCCFqBEmQail/exc0KjVZ+QaO5Z7Gz11NZl4B//sn3tKhCSGEENWeJEi1lLXGigB7FwD+u+sHVH6FS/VLN5sQQghxa5Ig1WKvdxpCN88AAHLUGQD87594UrMNFoxKCCGEqP4kQarFHgxoy5e9RgOQnp9DCy97cvON/HA0xsKRCSGEENWbJEi1nJvODoDsAgOjO/gAsGb/ZUuGJIQQQlR7kiDVcg5aHRpV4ds8qJULahX8fT6J81dr387YQgghREWRBKmWU6lUuOpsANBZGwkJKlxa+/P9VywZlhBCCFGtSYJUB7jqbAFIysti/F31gcIEyWhULBmWEEIIUW1JglQHFI1DupqTxbBW3jjorLiQlMWOC0kWjkwIIYSoniRBqgOKutiS8rKwtbYybT0ig7WFEEKIkkmCVAe4Wl/rYsvNAjB1s609EiNbjwghhBAlkASpDjCNQbqWIPUIdKWhmy3pufmsOxZrydCEEEKIakkSpDrANAbpWoKkUqkY38kPgJV7Ii0WlxBCCFFdSYJUB5jGIF1LkAAe7eyHWgV/nbvK6YQMS4UmhBBCVEuSINUBRV1siTn/Lg5Z39mGIc29APhkt7QiCSGEENeTBKkOCHRwBeBkShyK8u/aR491bQDAZ/suk5tfYJHYhBBCiOrIytIBiMrXzrUe1moNibmZ/BV7Dh8bRwACfcDDNZ+EjCw+2P8Pg5t5FjtXr7Ei4FqCJYQQQtQVkiDVATqNFe1cfdmbeJl+m1aYP1m4JBIz/tnHjH9KPv/NTnfzbOs+lRqjEEIIUZ1IglRHTGneg5n7N2AwmnelGY0KKdkGAJxttKjVKtNz2fkGsgsMHE6KrtJYhRBCCEuTBKmOGNu4I2MbdyzxucGf7GbTqQQe79eYRUObm44vO7GdZ/b+QoFirKowhRBCiGpBBmkLHuvqD8CqvZHk5f+bDGlUhd8eRkU2tRVCCFG3SIIkuLuFFz6OOuIz8vjpWIzpuFpV2N0mLUhCCCHqGkmQBFqN2tSK9N7Oi6bjGlOCJC1IQggh6hZJkARQ2M1mpVax40ISh6NSgX+72KQFSQghRF0jCZIAwNdJz4NtfAB4b8dFQBIkIYQQdZfFE6T333+fgIAA9Ho9Xbp0Ye/evTctv3btWpo1a4Zer6d169Zs3LjR7HlFUZg7dy4+Pj7Y2NgQEhLCmTNnzMqcPn2a++67D3d3dxwdHenRowd//vlnhdetppnSIxCArw5eISkrT7rYhBBC1FkWTZC+++47ZsyYwbx58zh48CBt27YlNDSU+Pj4Esvv2rWL0aNHM2nSJA4dOsSwYcMYNmwYx48fN5VZvHgxy5cvZ8WKFezZswc7OztCQ0PJyckxlbn77rvJz89n69atHDhwgLZt23L33XcTGxtb6XWuzroFuNDO15GcfCMr90SiUcssNiGEEHWTRROkt99+m8mTJzNx4kRatGjBihUrsLW1ZdWqVSWWf+eddxg0aBAzZ86kefPmvPLKK3To0IH33nsPKGw9WrZsGXPmzOG+++6jTZs2fP7550RHR7N+/XoAEhMTOXPmDM8//zxt2rQhKCiI119/naysLLNEqy5SqVQ8fa0V6YNdF1EpMotNCCFE3WSxhSLz8vI4cOAAs2fPNh1Tq9WEhIQQHh5e4jnh4eHMmDHD7FhoaKgp+blw4QKxsbGEhISYnndycqJLly6Eh4czatQo3NzcaNq0KZ9//jkdOnRAp9Px0Ucf4enpSceOJS+kCJCbm0tubq7pcVpaGgAGgwGDwVDu+t9K0TUr49o382BrT2Zu0HIxKZuDl1MAyC8oqNI4LFX36kDqLnWva6TuUndL3ftWLJYgJSYmUlBQgJeXl9lxLy8vTp06VeI5sbGxJZYv6hor+nyzMiqVij/++INhw4bh4OCAWq3G09OTTZs24eLiUmq8ixYtYv78+cWOb968GVtb21vU9vZt2bKl0q5dml6uKtZnqfjxwAVwg4Skq8XGelUFS9S9upC6101S97pJ6l61srKyylSuzm01oigKTz31FJ6envz999/Y2Njw6aefcs8997Bv3z58fHxKPG/27NlmrVdpaWn4+fkxcOBAHB0dKzxOg8HAli1bGDBgAFqttsKvfzMtkrL4+c3tXMpQgxs4OTszZNCQKru/JetuaVJ3qbvUve6Qulum7kU9QLdisQTJ3d0djUZDXFyc2fG4uDi8vb1LPMfb2/um5Ys+x8XFmSU6cXFxtGvXDoCtW7eyYcMGkpOTTYnNBx98wJYtW1izZg3PP/98iffW6XTodLpix7VabaW+uZV9/ZIEeTlxX0tv1l9KBMCIYpEfXkvUvbqQukvd6xqpu9S9Ku9ZFhYbpG1tbU3Hjh0JCwszHTMajYSFhREcHFziOcHBwWblobB5rqh8YGAg3t7eZmXS0tLYs2ePqUxR05pabV51tVqN0SiDkYv8X++GcG2Qdm5BgYWjEUIIIaqWRWexzZgxg08++YQ1a9bwzz//8MQTT5CZmcnEiRMBGDdunNkg7mnTprFp0yaWLFnCqVOnePnll9m/fz9TpkwBCscXTZ8+nVdffZVffvmFY8eOMW7cOHx9fRk2bBhQmGS5uLgwfvx4jhw5wunTp5k5cyYXLlxg6NChVf4aVFfdA11p4mEPQFxG7i1KCyGEELWLRccgPfTQQyQkJDB37lxiY2Np164dmzZtMg2yjoyMNGvp6datG19//TVz5szhhRdeICgoiPXr19OqVStTmeeee47MzEwee+wxUlJS6NGjB5s2bUKv1wOFXXubNm3ixRdfpF+/fhgMBlq2bMnPP/9M27Ztq/YFqMZUKhUPtvFl4TlIyMgl21CAjVZj6bCEEEKIKmHxQdpTpkwxtQDd6K+//ip2bMSIEYwYMaLU66lUKhYsWMCCBQtKLdOpUyd+//33csda1/Rp6M7Cc4XrIH154AqTr21oK4QQQtR2Ft9qRFRfWs2/3x5vbzuP0SgragshhKgbJEESpSrarFatVjgVn8Fvp0reAkYIIYSobSRBEqUqSpAc9IU9sUu2nbNkOEIIIUSVkQRJlEqjLpzm76DXoFGr+PPsVQ5dSbVwVEIIIUTlkwRJlKqoBUmlgpFtfQFY/OdZS4YkhBBCVAlJkESpihKkAsXIc30bAfD9kWjOJmZaMiwhhBCi0kmCJEqlURV2sRUoCu3qOTG4mSdGBd6UViQhhBC1nCRIolTqogTp2hYss/s3BuCzfVeITs2xWFxCCCFEZZMESZTq+i42gJ4N3ege4EJegZGl289bMjQhhBCiUkmCJEr1b4L07wKRs/sHAbAi/CLJWXkWiUsIIYSobJIgiVIVjUEyXpcgDWnuSWsfBzJyC3hv50ULRSaEEEJULkmQRKlu7GKDwr3unu9XOBbpne3nyczNt0hsQgghRGWSBEmUqqQECQrXRGroZsvVLAOf7om0RGhCCCFEpZIESZSqaCXt68cgAVhp1MzsU7gu0lt/nSMv31jsXCGEEKImkwRJlKq0FiSACXf54e2g40pqDl8cuFLVoQkhhBCVShIkUaqidZAAjDckSXqthv/rXdiKtDDsDPkF0ookhBCi9pAESZSqqAUJzGeyFXmimz/udtacv5rFVwejqjI0IYQQolJJgiRKpbmuBenGcUgAdjornr02Fum1P6QVSQghRO0hCZIo1fUtSCWNQwJ4qnsAbrZaziRm8t3h6KoKTQghhKhUkiCJUpUlQbLXWTHj2likV7acpsBYvKVJCCGEqGkkQRKlMutiu0niM6VHAC42WiISMll7RFqRhBBC1HySIIlSlaUFCcBRr+WZ3g2BwlYko7QiCSGEqOEkQRKlUpsN0r75AOypPQJx0ltxMi6DH4/FVHZoQgghRKWSBEmUSqVSoaL4hrUlcbLRMr2XtCIJIYSoHSRBEjdVNA6ppGn+N5rWMxBHvRXHYtJZfzy2skMTQgghKo0kSOKmNOrStxu5kYutNdN6BgKwYMtplDIkVUIIIUR1JAmSuKl/W5DKtgjk9F4NcdBZcSQ6jZ+OSSuSEEKImkkSJHFT/25YW7bWIFdba6b3KmxFmvt7hKyLJIQQokaSBEnc1L8JUtm3EZnRuxHONlpOxKbzvayuLYQQogaSBEncVNFU/1vNYrues42WZ/sUzmib93uE7NEmhBCixpEESdxUeccgFZnaoyHudtacSczkywNRlRGaEEIIUWkkQRI3Vd4xSEUc9FbM6tsYgPlbIsjLl1YkIYQQNYckSOKmTAmSsfwJzpPd/fF20HExKZvV+yIrOjQhhBCi0kiCJG7qdrvYAGytrXgxJAiAV7acIcdQUKGxCSGEEJVFEiRxU7fbxVZkctcG+DnriUrN4ePdlyoyNCGEEKLSSIIkbup2pvlfT2el4aUBTQBYGHaWrLz8CotNCCGEqCySIImb0qjLP83/RhPu8qOhmy1x6bm8v/NiBUUmhBBCVB6r8hQ2Go1s27aNv//+m0uXLpGVlYWHhwft27cnJCQEPz+/yopTWIiawgRp4dEwfM7uu2lZHxtHXmobgt5Ka3Zcq1Ezb2ATxn9zmDe2nuXx4AAc9OX61hNCCCGqVJn+SmVnZ7NkyRI+/PBDkpKSaNeuHb6+vtjY2HD27FnWr1/P5MmTGThwIHPnzqVr166VHbeoIu56O0iFTVERZSrf2d2P+/xbFTs+pkN9Fv5xhoiETJb9fd7U7SaEEEJUR2VKkJo0aUJwcDCffPIJAwYMQKvVFitz6dIlvv76a0aNGsWLL77I5MmTKzxYUfVWdh/JT5HHb9nF9tnZfUSkJpCSl13i8xq1ivmhTRn15UHe+uscT3YLwM3OujJCFkIIIe5YmRKkzZs307x585uW8ff3Z/bs2Tz77LNERsqaN7VFkJMHz7Xue8tyexMiiUhNILvAUGqZEW19eX3rWQ5Hp/H61rO8eU+LigxVCCGEqDBlGqR9q+ToelqtlkaNGt12QKJmsrk27iinoPRZamq1ikVDC7+X3t1xgSspJbc2CSGEEJZW7pGyR48eLfG4SqVCr9fToEEDdDrdHQcmaha9pjBBulkLEkBoUw96N3Jj27mrzN98mk9Gtq2K8IQQQohyKXeC1K5dO1TXVlcuiVar5aGHHuKjjz5Cr9ffUXCi5tBrCr+VbtaCBIWJ9KIhzej27k5W7Y3k/3o3pJmXQ1WEKIQQQpRZuddB+umnnwgKCuLjjz/m8OHDHD58mI8//pimTZvy9ddfs3LlSrZu3cqcOXMqI15RTdkUtSDl37wFCSA4wJV7W3phVOClTWWbHSeEEEJUpXK3IL322mu88847hIaGmo61bt2a+vXr89JLL7F3717s7Oz4v//7P956660KDVZUX2VtQSry2uBm/Hoyjh+OxrAvMoW7GjhXYnRCCCFE+ZS7BenYsWP4+/sXO+7v78+xY8eAwm64mJiYO49O1BhFg7RvNQapSCsfR8Z2rA/ACxv/qbS4hBBCiNtR7gSpWbNmvP766+Tl5ZmOGQwGXn/9dZo1awZAVFQUXl5eFRelqPb+bUEqW4IEMD+0KVqNij/OJPLH6YTKCk0IIYQot3J3sb3//vvce++91K9fnzZt2gCFrUoFBQVs2LABgPPnz/Pkk09WbKSiWivPGKQiAa62PNEtgOV/X2D2xn/oH+R+0wkAQgghRFUpd4LUrVs3Lly4wFdffcXp06cBGDFiBA8//DAODoWzkcaOHVuxUYpqr2iaf1nHIBV5sX8QK/dEsv9yKuuOxTC8jW9lhCeEEEKUy23tGOrg4MDjjz9e0bGIGqy8Y5CKeDromNG7Ia9sOcOLG09xX0vvyghPCCGEKJdyj0EC+OKLL+jRowe+vr5cunQJgKVLl/Lzzz9XaHCi5ijvLLbr/V/vRrjZaolIyOTz/VcqOjQhhBCi3MqdIH344YfMmDGDwYMHk5ycTEFBAQAuLi4sW7asouMTNcTtjEEq4mSj5YWQIADm/R5BjqGgQmMTQgghyqvcCdK7777LJ598wosvvoiV1b89dJ06dTJN8xd1z+3MYrvek90CqO+k50pqDh+Gy2bHQgghLKvcCdKFCxdo3759seM6nY7MzMwKCUrUPLc7BqmIXqthfmhTAF7/8zwZt3cZIYQQokKUO0EKDAzk8OHDxY5v2rSJ5s2bV0RMoga63Vls1xt/lx8tvR1Izjbww2WZ7i+EEMJyyj2LbcaMGTz11FPk5OSgKAp79+7lm2++YdGiRXz66aeVEaOoAUxjkG6zBQlAo1bxxtDm3L1yL/+LgsiUbBp5aCsqRCGEEKLMyp0g/ec//8HGxoY5c+aQlZXFww8/jK+vL++88w6jRo2qjBhFDXAns9iuN6S5J70burLtfBIvbz7DF2M6VkR4QgghRLnc1jT/MWPGcObMGTIyMoiNjeXKlStMmjSpomMTNUjRGKTcgnwURbnt66hUKhYNLhyL9NWhaA5HpVZIfEIIIUR53FaCVMTW1hZPT8+KikXUYEUtSHDnrUid/Jzo4aGgKDBrg2xkK4QQouqVqYutffv2Zd4j6+DBg3cUkKiZisYgQeFU/6IWpds1JkBhT5KazacT2BKRwICmHncaohBCCFFmZWpBGjZsGPfddx/33XcfoaGhnDt3Dp1OR58+fejTpw96vZ5z584RGhpa2fGKaspKrUGjKvx2upOB2kV8bODxrg0AeG7DSYzG2++2E0IIIcqrTC1I8+bNM339n//8h6lTp/LKK68UK3P58uWKjU7UKDYaLRn5uXfcxVZkdr9GrDkQxeHoNL4+FMUjHetXyHWFEEKIWyn3GKS1a9cybty4YscfeeQRfvzxxwoJStRMReOQbme7kZK421kzu19jAF787ZRsQSKEEKLKlDtBsrGxYefOncWO79y5E71eXyFBiZqpaNxRRbUgAUzr1ZB6Tnoik7N5f+fFCruuEEIIcTPlXgdp+vTpPPHEExw8eJDOnTsDsGfPHlatWsVLL71U4QGKmsPUglQBY5CK2Gg1vDKoKY9+d4RX/zjDxM5+uNpaV9j1hRBCiJKUuwXp+eefZ82aNRw4cICpU6cydepUDh48yOrVq3n++efLHcD7779PQEAAer2eLl26sHfv3puWX7t2Lc2aNUOv19O6dWs2btxo9ryiKMydOxcfHx9sbGwICQnhzJkzxa7zv//9jy5dumBjY4OLiwvDhg0rd+zCnI1pu5GK3UhtXCc/Wnk7kJJtYFHY2Qq9thBCCFGS21oHaeTIkezcuZOkpCSSkpLYuXMnI0eOLPd1vvvuO2bMmMG8efM4ePAgbdu2JTQ0lPj4+BLL79q1i9GjRzNp0iQOHTrEsGHDGDZsGMePHzeVWbx4McuXL2fFihXs2bMHOzs7QkNDycnJMZX58ccfGTt2LBMnTuTIkSPs3LmThx9+uPwvhDBT0WOQimjUKhbfXbjP3/K/L3AxKatCry+EEELcqEwJ0p2sjHwzb7/9NpMnT2bixIm0aNGCFStWYGtry6pVq0os/8477zBo0CBmzpxJ8+bNeeWVV+jQoQPvvfeeKc5ly5YxZ84c7rvvPtq0acPnn39OdHQ069evByA/P59p06bx5ptv8vjjj9OkSRNatGhxWwmeMFcZY5CKDGrmSd/GbuQVGHlp06kKv74QQghxvTKNQWrZsiVz587lgQcewNq69PEfZ86c4e2338bf3/+W3W15eXkcOHCA2bNnm46p1WpCQkIIDw8v8Zzw8HBmzJhhdiw0NNSU/Fy4cIHY2FhCQkJMzzs5OdGlSxfCw8MZNWoUBw8eJCoqCrVaTfv27YmNjaVdu3a8+eabtGrVqtR4c3Nzyc3NNT1OS0sDwGAwYDBUbItJ0XWv/1wT6FQaANLzcu4o7tLqvnBQE4LfC+erg1E83c2f9vUcbz/Yaqomvu8VReouda9rpO6WqXtZ71mmBOndd99l1qxZPPnkkwwYMIBOnTrh6+uLXq8nOTmZkydPsmPHDk6cOMGUKVN44oknbnnNxMRECgoK8PLyMjvu5eXFqVMltxDExsaWWD42Ntb0fNGx0sqcP38egJdffpm3336bgIAAlixZQp8+fTh9+jSurq4l3nvRokXMnz+/2PHNmzdja2t7q+reti1btlTatStaanoSAPsPH8LtVOwdX6+kuvf0UPF3gorHvtjJ/Da1d/HImvS+VzSpe90kda+bLFH3rKyyDdMoU4LUv39/9u/fz44dO/juu+/46quvuHTpEtnZ2bi7u9O+fXvGjRvHmDFjcHFxuaPAK5vRaATgxRdfZPjw4QCsXr2a+vXrs3btWv773/+WeN7s2bPNWq/S0tLw8/Nj4MCBODpWfEuGwWBgy5YtDBgwAK32zrbtqCpf/53KnktXadyiGUOadb/t69ys7s27ZtFqyd8cSQFNo06E1rItSGri+15RpO5Sd6l73WHJuhf1AN1Kuab59+jRgx49etxWQDdyd3dHo9EQFxdndjwuLg5vb+8Sz/H29r5p+aLPcXFx+Pj4mJVp164dgOl4ixYtTM/rdDoaNmxIZGRkqfHqdDp0Ol2x41qttlLf3Mq+fkWysy58fQyKsUJiLqnuTbycmNojkCXbzjNrYwSDmntjpbmjPZerpZr0vlc0qbvUva6Ruldt3ct6P4v9ZbG2tqZjx46EhYWZjhmNRsLCwggODi7xnODgYLPyUNg8V1Q+MDAQb29vszJpaWns2bPHVKZjx47odDoiIiJMZQwGAxcvXsTf37/C6lcXVcY6SCWZM6AJbrZaTsZl8Ome0pNaIYQQ4nZZ9F/vGTNm8Mknn7BmzRr++ecfnnjiCTIzM5k4cSIA48aNMxvEPW3aNDZt2sSSJUs4deoUL7/8Mvv372fKlCkAqFQqpk+fzquvvsovv/zCsWPHGDduHL6+vqZ1jhwdHXn88ceZN28emzdvJiIiwjRmasSIEVX7AtQy/66DVPGz2K7nbKPl5dCmAMz9PYK0nLo3wFEIIUTlKvdK2hXpoYceIiEhgblz55pmk23atMk0yDoyMhK1+t8crlu3bnz99dfMmTOHF154gaCgINavX282++y5554jMzOTxx57jJSUFHr06MGmTZvMtkF58803sbKyYuzYsWRnZ9OlSxe2bt1a7cdPVXf6awnSL5EniMn6t49Xp7HimZa9aO7sVdqp5fbfYH/e23GBiIRMFoWdZdHQ5hV2bSGEEMKiCRLAlClTTC1AN/rrr7+KHRsxYsRNW3pUKhULFixgwYIFpZbRarW89dZbvPXWW+WOV5TOx8YBgH9S4/kn1XyxzzRDLt/2eaTC7qXVqHnznhbcu2ofS7ef57/B/gS4Vt5sQiGEEHWLxRMkUXs82qQzeistKbnZpmPnM67y4alwjiZFV/j97m7hRb/G7mw9m8js//3DN2M7Vvg9hBBC1E23lSCdO3eO1atXc+7cOd555x08PT357bffaNCgAS1btqzoGEUNYWtlzX+adDE7diUzhQ9PhXM6LZHcgnx0morLyVUqFUvubUGHpdv59nA0U3sGEhxQ8jpWQgghRHmUe5D2tm3baN26NXv27GHdunVkZGQAcOTIEebNm1fhAYqarZ6tE07WegoUI6dTEyr8+u3qOTGhkx8AM345WWnb4gghhKhbyp0gPf/887z66qts2bLFbNuRfv36sXv37goNTtR8KpWKVs6F61MdT7nz1bVL8urgZthaa9h9KZm1R2Iq5R5CCCHqlnInSMeOHeP+++8vdtzT05PExMQKCUrULq1criVIyZWTIPk66ZnVtzEAs/53khxDQaXcRwghRN1R7gTJ2dmZmJji/6UfOnSIevXqVUhQonZp6Vy5CRLA//VuSD0nPReTsln+94VKu48QQoi6odwJ0qhRo5g1axaxsbGoVCqMRiM7d+7k2WefZdy4cZURo6jhTC1IldTFBmCns+K1wc0AeC3sDAkZuZV2LyGEELVfuROkhQsX0qxZM/z8/MjIyKBFixb06tWLbt26MWfOnMqIUdRwRQnShfQkMg2Vl7iM7VifDvWdSMvJZ+6miFufIIQQQpSi3AmStbU1n3zyCefOnWPDhg18+eWXnDp1ii+++AKNRlMZMYoazkNvj6feHgWl2AKSFUmtVvH2vYWbEH+0+xL7IlMq7V5CCCFqt9vei61BgwYMGTKEkSNHEhQUVJExiVqosgdqF+ndyJ0xHeqhKPDEj0cpMMq0fyGEEOVXplX7ZsyYUeYLvv3227cdjKi9Wjp7szXmbKUnSABL7m3JhpNxHLiSyoe7LjKlR2Cl31MIIUTtUqYE6dChQ2aPDx48SH5+Pk2bFu6ofvr0aTQaDR07ylYPomRVMVC7iJeDjkVDm/Pkj8d48bdTDG/jg4+j/tYnCiGEENeUKUH6888/TV+//fbbODg4sGbNGlxcXABITk5m4sSJ9OzZs3KiFDVe0WKRJ6qgBQngsa7+rN57mX2XU5jx8wnZp00IIUS5lHsM0pIlS1i0aJEpOQJwcXHh1VdfZcmSJRUanKg9Wrp4AXAlK9VsM9vKolGrWPFga9Qq+PZwNL+eqJrETAghRO1Q7gQpLS2NhITie2olJCSQnp5eIUGJ2sfJ2gY/O2cATlRBNxtAh/rO/F/vRgD894ejJGflVcl9hRBC1HzlTpDuv/9+Jk6cyLp167hy5QpXrlzhxx9/ZNKkSTzwwAOVEaOoJVpVwYraN1owqCnNPO2JSctl+s8nquy+QggharZyJ0grVqxg8ODBPPzww/j7++Pv78/DDz/MoEGD+OCDDyojRlFLFHWzVcVA7SJ6rYbVo9qhVsHn+6+w4WRcld1bCCFEzVXuBMnW1pYPPviAq1evcujQIQ4dOkRSUhIffPABdnZ2lRGjqCWqeqB2ka7+Lsy41tX22NojJElXmxBCiFu47YUi7ezsaNOmDW3atJHESJRJKxcfoGpbkIosGNSUph52xKTl8tjaoyiKLCAphBCidGWa5n+9vn37olKpSn1+69atdxSQqL2aO3uiQkVCTibx2el42jhU2b1ttBq+GtOB4Hd38OPRGD7ZHcljwf5Vdn8hhBA1S7lbkNq1a0fbtm1NHy1atCAvL4+DBw/SunXryohR1BK2VtY0cnADqnagdpGOfs4sHNwcgOk/H+dkrMy6FEIIUbJytyAtXbq0xOMvv/wyGRkZdxyQqN1aunhxNj2R4ymx9POt+j38ZvRuyJbTCWw+ncCoLw+wd1pP9FrZZFkIIYS52x6DdKNHHnmEVatWVdTlRC3170Bty8wmU6tVrBndDk97a47FpPPUumMyHkkIIUQxFZYghYeHo9fLflfi5qpyT7bSeDvq+WpMB9QqWLX3Mh+FX7JYLEIIIaqncnex3bgYpKIoxMTEsH//fl566aUKC0zUTqYEKTkWRVFuOuC/MoU08WDRkObM+t8/TF1/nDY+jnQLdLVILEIIIaqfcrcgOTo64uTkZPpwdXWlT58+bNy4kXnz5lVGjKIWaeLogZVKTZohhyuZqRaNZWbfRoxo64OhQGH4mv1Ep+ZYNB4hhBDVR7lbkD777LNKCEPUFdYaK5o4eXAyJY7jKTH42TtbLBaVSsWqh9pxMi6DE7HpDP10D9uf6o6Dvtw/FkIIIWqZcrcgNWzYkKtXrxY7npKSQsOGDSskKFG7WXqg9vXsdVb8+mhnPO2tORydxsgv9pNfYLR0WEIIISys3AnSxYsXKSgoKHY8NzeXqKioCglK1G5F45COJEdbOJJCgW62bJjUBRutmk2nEmRmmxBCiLJ3sf3yyy+mr3///XecnJxMjwsKCggLCyMgIKBCgxO1UzfPAAA2R53mYnoSN47TNhjyiS/I4VJGMlptxXd3+dk5o1aZ/29wVwNnvnmkI/d/to+Pd0dSz8mGuQObVPi9hRBC1Axl/uszbNgwoHDcxvjx482e02q1BAQEsGTJkgoNTtROvbwb4mStJz4ng8AfFpZecP2+Srn/PX4t+CXk0WLH72vlzfJhrXj6p+PM+z0CW62GZ/s2qpQYhBBCVG9lTpCMxsJxGYGBgezbtw93d/dKC0rUblq1hv9r2Zs3jv1JgVLyeB9jgRG1psKW6Sq8pqKQZyxgT0JkqWWm9AgkNcfAnN8imLnhJDZaNU/1CKzQOIQQQlR/5e6/uHDhQmXEIeqYl9oN4KV2A0p8zmAwsHHjRoYMGYJWq62we55MiaXlT2+RX0pSVuTFkCZkG4y89scZpvx0HK1GLRvbCiFEHVOmBGn58uU89thj6PV6li9fftOyU6dOrZDAhKhoVqrCPdfyjbeepfbKoKZkGwp4e9t5/vvDUdJz8/m/PtLdJoQQdUWZEqSlS5cyZswY9Hp9qZvVQuH4JEmQRHVlpS7ssiutW+96KpWKt+5pgZVaxeI/z/HsrydJyTawYFBTi63+LYQQouqUKUG6vltNuthETWV1bebarbrYiqhUKt64uwUuNlpmbzzFq3+c4WpWHsuHtcKqgsdHCSGEqF7K/Vt+wYIFZGVlFTuenZ3NggULKiQoISpDUQtSWbrYrvd8/yDef6A1AB/uusS9q/aRlmOo8PiEEEJUH+VOkObPn09GRkax41lZWcyfP79CghKiMhS1IBUoxnIvBPlk9wB+HN8JG62a307F0+3dnVxMKv6PghBCiNqh3AlSaTuwHzlyBFdX2Q1dVF+a6xaHLMs4pBs90MaHv5/qjo+jjhOx6XR+52/CTidUZIhCCCGqiTInSC4uLri6uqJSqWjSpAmurq6mDycnJwYMGMDIkSMrM1Yh7khRFxtAwW1uJdLRz5m903rSvp4jCRl5DPh4N69sOY3RKFuTCCFEbVLmdZCWLVuGoig8+uijzJ8/32yrEWtrawICAggODq6UIIWoCFbXtSDlGwvQaW5vG5P6zjbsfLoHT687zsq9kczdFMGO80l88XB7PB10FRWuEEIICyrzX4ii7UUCAwPp1q1bhS7gJ0RVsFJrTF+XdSZbaWy0Gj59qC09G7ryxI9H2Xw6gVZv/cXHD7ZhWGufOw1VCCGEhZV7DFLv3r1NyVFOTg5paWlmH0JUV+YtSHeWIBUZf5cfe6f1pJW3AwkZedz/2X7GfX2I5Ky8Crm+EEIIyyh3gpSVlcWUKVPw9PTEzs4OFxcXsw8hqiv1dZML7rQF6XqtfBzZ/0xPnu/XGLUKvjhwhVZvbuOHI9Hlni0nhBCieih3gjRz5ky2bt3Khx9+iE6n49NPP2X+/Pn4+vry+eefV0aMQlQIlUplmslWUS1IRXRWGhYNbc6OKd0JcrcjOi2HEZ8fYPAnezibmFmh9xJCCFH5yp0g/frrr3zwwQcMHz4cKysrevbsyZw5c1i4cCFfffVVZcQoRIUpz3YjtyM4wJUjz/Zm7oAmWGvU/B6RQKs3/2LuplOk5+RXyj2FEEJUvHInSElJSTRs2BAAR0dHkpKSAOjRowfbt2+v2OiEqGDl3W7kdthoNcwf1JTjM3szsIkHuflGXtlyhsaLwvhw10UMBZV3byGEEBWj3AlSw4YNTfuxNWvWjO+//x4obFlydnau0OCEqGi3u93I7QjysGfTY134YXxHGrvbEZ+Rx5M/HqPVm3/x/eFoWTtJCCGqsXInSBMnTuTIkSMAPP/887z//vvo9XqeeeYZZs6cWeEBClGR/m1BKqiS+6lUKoa38eXkc3147/5WeNhbczohk4e+OECrt/7iqwNXyJcWJSGEqHbKvVLeM888Y/o6JCSEU6dOceDAARo3bkybNm0qNDghKlrRWkhV0YJ0Pa1GzVM9AhnbqT5vbzvPsu3n+Scug0e+PsTLm0/zfL/GjOlQD82tLyWEEKIKlLsF6Ub+/v488MADuLq68thjj1VETEJUGs21qf63u9XInXLUa3k5tCmX5oSwcEgz3O2sOZuYyX++P0KDV/9g3uYzJOVaJDQhhBDXueMEqcjVq1dZuXJlRV1OiEph6mIzVk0XW2mcbLTM7h/ExRf7s+TeFvg560nIyGPR1nNM3qvikW8Os+P8VVlHSQghLKTCEiQhagJTF1slzmIrDzudFTN6N+L8C/35YXxHegS4UKCo+P5ILD3f30WzN/7kja1niUnLsXSoQghRp0iCJOoUq0paKPJOWWnUDG/jy9bHu/B2ByMTOtXDzlrD6YRMnv/fP/i98gf3rNzLj0ejyTZYtvVLCCHqgtvbzlyIGso0zb+atCCVpKE9TBnSmuX3t2HtkWhW7Y1k58VkNpyMY8PJOOx1Goa18mZUu3oMaOKBtZX8nyOEEBWtzAnSAw88cNPnU1JS7jQWISpddW1BKomD3opHuzTg0S4NiIjPYPXey3xzOIrI5Gy+PBDFlweicLHR8kBrH0a286FPI3dJloQQooKUOUFycnK65fPjxo2744CEqExFe7FV1lYjlaWppz2v392chUOasScymW8PR/P94Whi03NZuTeSlXsjcdRbMaSZJ8NaeTO4uSeOeq2lwxZCiBqrzAnS6tWrKzMOIapETehiuxm1WkVwgCvBAa68fW9Ltp+/yreHolh/PJb4jDy+PRzNt4ej0WpU9G3kzrDW3tzb0ot6TjaWDl0IIWoUGYMk6pSa1MV2Kxq1ir6N3enb2J0Ph7dhT2Qy64/H8vPxWCISMtl8OoHNpxN48sdjtK/nyJDmXgxu5kmXBs5YaaQrTgghbkYSJFGn/NuCVLtmgl3fsvTG3S2IiM/g5+OxrD8ey+7IZA5FpXEoKo3X/jiDi42WgU09GNzMk0HNPPFy0Fk6fCGEqHYkQRJ1Sm1qQbqZpp72PNevMc/1a0xcei6/R8Tz2z/x/B6RQHK2ge8OR/Pd4WgAOtZ3YkhzTwY386RzAxc0apWFoxdCCMuTBEnUKdVtociq4OWgY1wnP8Z18iO/wMjeyBR+OxXPb6fiOXAl1fTxypYzuNpqGdDEg9CmHgxs6iFjl4QQdZYkSKJOMe3FVstbkEpjpVHTLdCVboGuvDK4GbFpOfwekcDGf+LZfDqBpCzz1qWW3g4MvJYw9Wrkho1WttMVQtQNkiCJOqWmz2KraN6Oesbf5cf4uwpbl/ZEprA5IoHfI+LZdzmFE7HpnIhNZ+n28+is1PRq6EpoU08GNvWglbcDKpV0xwkhaidJkESdYqW61sVWR1uQbsZKo6Z7oCvdA12ZP6gpSVl5hJ1J5PdThQnTldQctpxOZMvpRPgVfB31DGzqwcAmHgxo4o67vQz2FkLUHpIgiTpFWpDKztXWmhFtfRnR1hdFUTgVn8HvEQlsjkjgr3OJRKfl8Nm+y3y27zIqFXSo52QauxTs7yqregsharRq8Rvs/fffJyAgAL1eT5cuXdi7d+9Ny69du5ZmzZqh1+tp3bo1GzduNHteURTmzp2Lj48PNjY2hISEcObMmRKvlZubS7t27VCpVBw+fLiiqiSqqboyi62iqVQqmns5ML1XQzZO7kLSK4P4479dmdmnEW18HFEUOHAllYVhZ+nzQThuczdx36q9vL/jAmcTM1EUxdJVEEKIcrF4gvTdd98xY8YM5s2bx8GDB2nbti2hoaHEx8eXWH7Xrl2MHj2aSZMmcejQIYYNG8awYcM4fvy4qczixYtZvnw5K1asYM+ePdjZ2REaGkpOTk6x6z333HP4+vpWWv1E9VLUglTTthqpbvRaDf2beLD4nhYcebY30fMGsGZ0O8Z0qIeHvTUZuQX8ciKOKT8dJ2jRVhot3MoTPxzlp2MxpGYbLB2+EELcksUTpLfffpvJkyczceJEWrRowYoVK7C1tWXVqlUlln/nnXcYNGgQM2fOpHnz5rzyyit06NCB9957DyhsPVq2bBlz5szhvvvuo02bNnz++edER0ezfv16s2v99ttvbN68mbfeequyqymqCVMLkiRIFcrHUc+4Tn58OaYDsfMGcvCZXiwa0ow+jdzQalRcSMpiRfglHvhsP25zf6fnezt5Zctp9kYmU2CU1iUhRPVj0TFIeXl5HDhwgNmzZ5uOqdVqQkJCCA8PL/Gc8PBwZsyYYXYsNDTUlPxcuHCB2NhYQkJCTM87OTnRpUsXwsPDGTVqFABxcXFMnjyZ9evXY2trW8E1E9WVRrrYKp1araJ9fSfa13fi+f5BZOTm89e5q/x+qnApgdMJmey4kMSOC0nM3RSBq62WkCAP+jd2RclGuuOEENWCRROkxMRECgoK8PLyMjvu5eXFqVOnSjwnNja2xPKxsbGm54uOlVZGURQmTJjA448/TqdOnbh48eItY83NzSU3N9f0OC0tDQCDwYDBUPFdBkXXrIxrV3eVWfeiJtPc/Mp53+5UbXzfdWoIDXIlNMgVaMbFpCz+OHOVzacT+fPcVZKyDHx/JJrvj0QDal6J+Ivejdzo3dCVnoEuNHKzrfXLCdTG972spO5Sd0vd+1bq5Cy2d999l/T0dLOWq1tZtGgR8+fPL3Z88+bNldoCtWXLlkq7dnVXGXWPyrwMwKnTEWy8knuL0pZT2993X2CCG4x1hTNpcChZxZEUOJsOUWm5fH0omq8PFS5W6Wat0MoZWjoVfvbRQ23Nl2r7+34zUve6yRJ1z8rKKlM5iyZI7u7uaDQa4uLizI7HxcXh7e1d4jne3t43LV/0OS4uDh8fH7My7dq1A2Dr1q2Eh4ej05mv29KpUyfGjBnDmjVrit139uzZZl17aWlp+Pn5MXDgQBwdHctY47IzGAxs2bKFAQMGoNVqK/z61Vll1j1s/69wKoaARo0Y0j60Qq9dEer6+75h0xbsgjqwMzKN7eeT2Hs5hat5sC0etsUXZkWe9tZ0aeBM12sfHes7YWtds1f4ruvvu9Rd6l6VinqAbsWiCZK1tTUdO3YkLCyMYcOGAWA0GgkLC2PKlCklnhMcHExYWBjTp083HduyZQvBwcEABAYG4u3tTVhYmCkhSktLY8+ePTzxxBMALF++nFdffdV0fnR0NKGhoXz33Xd06dKlxPvqdLpiCRWAVqut1De3sq9fnVVG3a01166nolq/rnX1fddpYGAzL4a2rg9AVl4+uy+lsO3cVf46l8juSynEZ+Tx68l4fj1ZONPVSq2iXT1Hgv1d6RbgQrC/Cw1cbGpkt1xdfd9B6i51r9p7loXFu9hmzJjB+PHj6dSpE507d2bZsmVkZmYyceJEAMaNG0e9evVYtGgRANOmTaN3794sWbKEoUOH8u2337J//34+/vhjoHC9lunTp/Pqq68SFBREYGAgL730Er6+vqYkrEGDBmYx2NvbA9CoUSPq169fRTUXliALRdYsttZW9Atyp1+QO9CUHEMBB6+kEn4pufDjYjLRaTnsv5zK/supvLvjAgAe9tZ0rO9Ex/rO1z474edcM5MmIYRlWDxBeuihh0hISGDu3LnExsbSrl07Nm3aZBpkHRkZiVr972oE3bp14+uvv2bOnDm88MILBAUFsX79elq1amUq89xzz5GZmcljjz1GSkoKPXr0YNOmTej1+iqvn6heZBZbzabXakyb7ULhhIvI5GyzhOlQVCoJGXlsOpXAplMJpnPd7azpUM+Jjn6FCVP7ek4EuNiiVkvSVBdl5uYTk56Lm60WF1trS4cjqiGLJ0gAU6ZMKbVL7a+//ip2bMSIEYwYMaLU66lUKhYsWMCCBQvKdP+AgACZWlxHSAtS7aJSqfB3tcXf1ZZR7esBkGMo4GhMGgeupHLgcioHrqRwPDadxMw8Np9OYPPpf5MmO2sNLb0daO3tSGsfB1r7ONLK2wFPB9lXriYqMCokZOQSm55LTFoOselFX+cSm55j9nVGbgEAK0e25dEuDW5xZVEXVYsESYiqIluN1H56rYbODVzo3MDFdCzHUMCxmHQOXEkpTJyupHAiNoPMvAL2RqawNzLF7Bqe9ta09nGkpbcDTT3saephRxMPe+o56aXFyQIycvNvSHiufZ2WS0x6DrFphcfjM3Ipz7qjttYasgwFlRe4qNEkQRJ1irQg1U16rYa7GjhzVwNn0zFDgZGziZkci0nneGwax2LSORaTxvmkLOIz8gg7k0jYmUSz69ho1QS529PEw44mHnY09bSnsZsdAa62eDvoJHkqhxxDAQkZeUSnZLI/CeL3XSEhq+REKDOv7EmMSgWe9jp8HHR4O+rwdtDj46jD26H41w56+RMoSiffHaJOKWpBkr3YhFajprmXA829HBjJv/sxZubmczIug+OxaZyITedMYianEzI5dzWTbIORozFpHI0pPk3YWqOmgYsN/i42BLjY4u9qQ4CLDf4uttRzKvzDbGtde3/l5uUbScrKIz4jj/iMXBKufS78uPFYHum5+dedrYbr9tMsib1Og7eDHm8H3bUk5/qv/01+3O2ssdJYfBctUQvU3p9WIUpgpS5cL0e62ERp7HRWxVqbAPILjFxMzuZ0QganEzI5nZBBRHwm55MyuZySQ961FqmziZmlXttBZ1X4x/y6P+reDjocdWouxoMmIgEPBxucbbQ422hxsdFibVX5f+zzC4xk5BWQkZtf+FH0dV4B6Tn5JGcbSM7OIynLQHKWgeRsA0lZeYXHswwkZRvIKkcrTxGtRoWnnTXWBTk0re+Bj6PNv8mPY1ErUOFrZK+TP1eiasl3nKhTNNemeUsXmygvK42axu52NHa3Y0hz8+fyC4xEpeZwKTmbi8lZhZ+T/v0cnZZDtsFIem4+6bn5nCkxiVKz5NSBYkc1ahU2WjU2Wg02Wg16q3+/1mpUqFUqVBR2LalQXfsMapWKAkUhr8CIoaDwc16+sfBzgZG8fIXc/AIy8grIza+Ynwe1CtzsrPG01+FpX/jZw84aT4d/H3va6/C49rWT3or8/Hw2btzIkCGd6uxaQKJ6kgRJ1Cn/DtKWgZmi4lhp1KbZdL1wK/a8oihk5BaYDSiOTc8hJi2XuPRcrmbmcj4qDo2tIyk5+aRkG0jNKeyCKjAWnls066pS66FW4aCzwl6nwV5nhb114dcuNlpcbKxxtdXiYlvYsuVqa1143PRYi6Nei0bGYYlaQhIkUaeYutikBUlUIZVKhYPeCge9PU087Is9bzAYrrWidDe1ohQYFdJyDGQZCsg2GMkp+pxfQPa1r/MKjChKYQKmQOHXKCgKGBUFjVqFtUZd+GFV+Fmr+feYzkptlgxVRXeeEDWFJEiiTpFB2qKm0KhVuNha43LrokKISiD/Log6xTTNXwZpCyGEuAlJkESdYhqDJC1IQgghbkISJFGnyF5sQgghykISJFGnyEraQgghykISJFGnyF5sQgghykISJFGnFLUgySw2IYQQNyMJkqhTZKsRIYQQZSEJkqhTZBabEEKIspAESdQppr3YZKsRIYQQNyEJkqhTZKsRIYQQZSEJkqhT/t1qRLFwJEIIIaozSZBEnfLvViPSxSaEEKJ0kiCJOkUGaQshhCgLSZBEnSKb1QohhCgLSZBEnaKRFiQhhBBlIAmSqFNkqxEhhBBlIQmSqFNkqxEhhBBlIQmSqFOsVLIOkhBCiFuTBEnUKTJIWwghRFlIgiTqlOu72BRZLFIIIUQpJEESdUrRLDaQcUhCCCFKJwmSqFOsrkuQpJtNCCFEaSRBEnVKURcbSAuSEEKI0kmCJOoUsxYkSZCEEEKUQhIkUadc34IkXWxCCCFKIwmSqFPUKjUqVIC0IAkhhCidJEiiztGoriVI0oIkhBCiFJIgiTpHthsRQghxK5IgiTpHthsRQghxK1aWDkCIqlbUgtR1w3JTsmRjpeWjbsMJ8W1iydCEEEJUE9KCJOqcVi7eACTkZBKTnUZMdhrn06+y4lS4hSMTQghRXUgLkqhzwkL/yz+p8abHx5JjGLv9G3bGX0RRFFTXBnELIYSouyRBEnWOtcaKtq6+psdNHD2YqPqO2Ox0LmUkE+DgasHohBBCVAfSxSbqPBsrLR3c6gEQnnDJwtEIIYSoDiRBEgII9gwAYFf8RYvGIYQQonqQBEkIoJunPyAJkhBCiEKSIAkBdLvWgnQkKYZMQ65lgxFCCGFxkiAJAdS3c6a+rRMFipFn921AURRLhySEEMKCJEES4pqe3g0BWBERzpAtnxKTlWbhiIQQQliKJEhCXPNqh0H8p0kX9BorNkVF0HPj++QV5Fs6LCGEEBYgCZIQ1zR0cOOT7iM4cO90vGwcOJd+lW8vHLZ0WEIIISxAFooU4gYtnL2Z1qIHLxz4jdePbiXfeOtNbb1tHBhcv5mswi2EELWEJEhClOC/TYN57UgY/6TGM2nn92U6Z/PAxxhQTza7FUKI2kASJCFK4KqzZWX3kXx1/iAKN5/RdiolgbPpiWyOjpAESQghaglJkIQoxUMN2/FQw3a3LPfF2QOM+/sbdsRdrPSYhBBCVA0ZpC3EHerpFQjA/sTLZOXnWTgaIYQQFUESJCHukL+9C/VtnchXjOxJiLR0OEIIISqAdLEJcYdUKhU9vAL59sJhHvrrC+7xa4mDVoe9lTXWGo1ZWW8bR8Y16ojeSmuhaIUQQpSFJEhCVIDHmwXz46VjJORksurM3puW3RwVwfd9x6JWSQOuEEJUV5IgCVEBens34tzw2fweHUF8dgYZ+blkGPIwGAtMZQoUI5+d3c+Pl47h9c18vGzssbWyxtZKywDfJrzQpr8FayCEEOJ6kiAJUUH87J35T5MuNy3Tx7sRE3d8R2JuJom5mabj22LPcyo1ngf9WpOjFNzkCkIIIaqCJEhCVKGHG3VgUP1mnE5NICs/j6wCAz9cPMqas/v58txBvjx3EGvUrApLwElnAxS2Tj3VvLuFIxdCiLpFEiQhqpirzpaunv6mx3f7teDhhu359sJh/ow+y8XMZDbHnDE9v/biUSIzkunvG0QDOxf87Jyw0+osEboQQtQZkiAJUQ0MrNeUgfWakpeXx4e//oBVswagVvHdhcP8HXeBxcf/YvHxv0zlXaxt0GsKZ8I1cXJnZfeRNHJ0t1D0QghR+0iCJEQ1olKpCLCyY0iTLmi1Wp5oFswXZw/wU+RxzqVd5VJmMumGXJLzsoFsAGKy0+iyYTnLuwzDTW9HGxcffGwdLVsRIYSo4SRBEqIaU6vUjA+6i/FBd5mOpeZlcyUzlXzFSE6BgafCf+LA1SuM2f41AD42jnzeaxRuOjvaufqiUqksFb4QQtRYkiAJUcM4WdvgZG1jerxt8BPM3L+B3fGRXMpMJiY7jQG/fwzA5z1HM7ZxR0uFKoQQNZasVCdEDWen1fFB8HAO3vcMGwdMooNbPbxsHAD4M/ashaMTQoiaSRIkIWqRLh7+HLj3GT4MfgCAw1ejLRyREELUTNUiQXr//fcJCAhAr9fTpUsX9u69+VYNa9eupVmzZuj1elq3bs3GjRvNnlcUhblz5+Lj44ONjQ0hISGcOfPvtOmLFy8yadIkAgMDsbGxoVGjRsybN4+8PNmJXdQObV19ATiREmu2mrcQQoiysXiC9N133zFjxgzmzZvHwYMHadu2LaGhocTHx5dYfteuXYwePZpJkyZx6NAhhg0bxrBhwzh+/LipzOLFi1m+fDkrVqxgz5492NnZERoaSk5ODgCnTp3CaDTy0UcfceLECZYuXcqKFSt44YUXqqTOQlS2AHsXHLV68owFnEop+WdJCCFE6SyeIL399ttMnjyZiRMn0qJFC1asWIGtrS2rVq0qsfw777zDoEGDmDlzJs2bN+eVV16hQ4cOvPfee0Bh69GyZcuYM2cO9913H23atOHzzz8nOjqa9evXAzBo0CBWr17NwIEDadiwIffeey/PPvss69atq6pqC1Gp1Co1bV19ADicJN1sQojqy6gY+SvmLDvjLpCUm0VKbjZGxWjpsCw7iy0vL48DBw4we/Zs0zG1Wk1ISAjh4eElnhMeHs6MGTPMjoWGhpqSnwsXLhAbG0tISIjpeScnJ7p06UJ4eDijRo0q8bqpqam4urqWGmtubi65ubmmx2lpaQAYDAYMBsPNK3obiq5ZGdeu7qTuFVP31s7e/B13gUOJVxjl3+aOr1fZ5H2Xutc1da3uBmMBR5Ki2ZN4mbS8bGJzYjh9YjufntvP6bQEs7I+Ng582WM0Pb0CKz6OMr7eFk2QEhMTKSgowMvLy+y4l5cXp06dKvGc2NjYEsvHxsaani86VlqZG509e5Z3332Xt956q9RYFy1axPz584sd37x5M7a2tqWed6e2bNlSadeu7qTud0aVmwhA2JljbIy748tVGXnf6yape+2hKAqJxjxOF6RxMT+TWGMOMQXZXC7IIpcbWoYOFc60tVVp0KImVSlMXmKy05m49UvecexQ4Wu5ZWVllalcnV8HKSoqikGDBjFixAgmT55carnZs2ebtVylpaXh5+fHwIEDcXSs+FWLDQYDW7ZsYcCAAWi12gq/fnUmda+YuntdvcL7v50hWmNg8ODB1X7BSHnfpe5S95ontyCfQ0lR7Iy/xMXMJI4kxXA8JZaM/JInPblY29DVvQGu1jacjorExd2NEJ8gHm18Fw5aHfmKkcScTJr//BaRBVnYdmxGX+9GFRpzUQ/QrVg0QXJ3d0ej0RAXZ/7vbVxcHN7e3iWe4+3tfdPyRZ/j4uLw8fExK9OuXTuz86Kjo+nbty/dunXj448/vmmsOp0Ona74BqFarbZSv7Er+/rVmdT9zure1r0+GpWaxNxMEgzZ1LNzqqDoKpe871L3uqYm1D0n30B0dhoHEq9wOTOF8IRL7Iy7SFxOOkZFKVZeo1LTysWbzu5+NHH0oLGjO02dPGjq5IFapcZgMLBx40aG9B9iVndroIFOz4SguziaHIOtta7CX5uyXs+iCZK1tTUdO3YkLCyMYcOGAWA0GgkLC2PKlCklnhMcHExYWBjTp083HduyZQvBwcEABAYG4u3tTVhYmCkhSktLY8+ePTzxxBOmc6Kioujbty8dO3Zk9erVqNUWH68uRIWysdLSzMmDEylxTNn9E+Mad6S7ZwCe1xaRFEKIIoqikJyXzaWMZNPHiZRYkvOySczJZF/iZTJLaRVy19nRwyuQ5s6eNHPy5C53Pxo5uGGtuf0UY1mX+9CqNbd9fkWweBfbjBkzGD9+PJ06daJz584sW7aMzMxMJk6cCMC4ceOoV68eixYtAmDatGn07t2bJUuWMHToUL799lv2799vagFSqVRMnz6dV199laCgIAIDA3nppZfw9fU1JWFRUVH06dMHf39/3nrrLRIS/h0cVlrLlRA10cMNO/Diwd9YH3mc9ZHHUaHi3gYtmNK8O329G6ORfwyEqBOMipH47AwuFiVAmf8mQhczkriUkUJGfu5Nr6FCRQe3egTYu9DJ3Y/ungE0dnTH28ahwrvwLZ0cQTVIkB566CESEhKYO3cusbGxtGvXjk2bNpkGWUdGRpq17nTr1o2vv/6aOXPm8MILLxAUFMT69etp1aqVqcxzzz1HZmYmjz32GCkpKfTo0YNNmzah1+uBwhans2fPcvbsWerXr28Wj1JCU6EQNdULbfszuH4zPjm9m79jL3A8JZafI0/wc+QJvG0cGFSvKbZW1tzt15zB9ZtbOlwhxG3IK8jnTFoi0VlpRGelEp2dRmxWOvE5GcRkpxGdlUZkZgq5Bfm3vJan3p4Aexf87V0IcvTA28YBN50tAfauBHv6V/uxjBXJ4gkSwJQpU0rtUvvrr7+KHRsxYgQjRowo9XoqlYoFCxawYMGCEp+fMGECEyZMuJ1Qhahx2rvV44Pg4QCcSonnnZN/8/3FI8Rmp/PZ2f0AfHBqFy+1DWF++9A69QtQiOoqJ99AUl4WsVnpXMlK5cDVK6Tl5ZBuyCU6K82U+CTkZKJQtn/s1SoVvjaOBDi44m9XmAT527uYEqIGdi7YWFXvsVBVqVokSEKIqtHM2ZMPuw3nnS73sTn6NAevXuFCehKfnd3PK0f+oLGjO+Mad7J0mELUWBmGXLLy88xabLLyDcRmpxObnUZyXjYABUYj59OvEpUezbItUcTnZpKSl01ybjYFipG8cm4R5KjV08DOGV9bR3xsHfGxccTZWk8Dexe8bRwIsHehvp1ztei6qikkQRKiDrLWWHG3Xwvu9msBQKCDK/MObWb839/y9flDfNnrYdz1dhaOUoiql1eQT64xn9yCAhJzMsnMzyO3IJ/LmSlczkzB1kpLdoGBmKx0orMLu7Su5mRxJSsVBYW0vNwyt+iYxF0t8bBGpcbJujDxaevqi4+NI7ZWWnxtHa99OOGpt8dKrcZNZ4taJWMKK5IkSEIIXmwTQlj0WbbHnef3qAjePrGNhR2HWDosIcpNURTyFSMGYwGx2elEZaYSnZVGVFYqUVmppObloABRWalkXZuVFZedQaohh+x8A2mGnAqJw0Nvh7O1DQB6jRZvGwe8bOxxtbZFfa0b20fvwPlTEdzVtj0Bjm64WNvgorMxJUaOWr10eVuQJEhCCDRqNf8bMIln9/3KRxG7eePYnzR19GB80F2WDk0IM+mGHM6kJnLlWsJzJfPfz1eyUojKTLvlbKyycra2wd7KGq1aQz07J+rZOpFuyMHZ2gYfG0dTd5aztR5/exesVBpcdDZ46O3LdH2DwcDGi+kMadSx2q+DVBdJgiSEAMBeq+O9rvezP/EKB65eYcKO73CytmGYf6tbnyxEBUjMySQ738DFjCRyCvI5nBRFbHY6V3OzuJyZQmRGCuczrpa4MGFJ9Bor6tkWJja+to7Us3XCVWeLSgVuOjvcdIXbRDlodXjbOKDTWOGht8dWo8VKrcZKxuvUaZIgCSFMrNQafug7jmY/LSa3IJ+Rf33B5oGT6ePT2NKhiVpAURRis9O5kJ7E+YyrnE+/yomkWC6lRzHtp2Ncykwp03U89fb42TlT386J+rZO1LNzor5t4eN6tk646+3QqtXYW+mki0rcNkmQhBBmAhxcSRw9n+Fb17A5+jSjt33F933G0tO7YbGyBUYj4/7+hi3Rp/HQ29PbuyFPNetOSxdZcLWuUhSF1LwcjiRHcykjmf2JVziUFMXVnEwuXGsZKtG1Dda1ag2+to7YW1kT5OhBkKM79lprGti5EOjgSmMH9xqzbY6o2SRBEkIUY6/V8Xmv0XT733ucT79K798+5Pk2fXml/SCz1bcPXL3C1+cPAZCQk8nJlDg+PBVOAztn+vk0ZliDVvT3DcJeW3wfQ1GzKYpCSl420VlpHE+O5e+481zKTGZX/CWSckvfLV2tUuFn50ygvSuBDq4E2btxMeIMDwT3obtPQ/leEdWGJEhCiBJ52Thw6N5nmLZnPZ+d3c+io1vJNOTxTtdhpjKn0wq36fG1deSV9oP4+vwh/oo9R2RmCp+d3c9nZ/ejVWu4r0FLQnyCGNWwHU7XZvaImqPAaORCRhI74y5wPiOJnXEX2Z1wqdS9uaDwe6KZkyctnb3p6tEATxt7Au1daWDvYrYWj8FgYOOlTPr5NJaByqJakQRJCFEqR2s9q3uOoo93Iybs+I7l/+zAXW/HkPrN6eBWjzNpiQAMqd+cR5t05tEmnckw5BIef4n/XfmHXyJPcCEjiR8uHuWHi0d5avdPdHSrx8jAtjwU2I76ds6WraAwURSFhJwMknKz2R53njNpCcRnZ7Az/iIXMpJKHRjtYm2Dk7We+/1b42/nQrCnPy2dvbC1spbxP6JGkwRJCHFL44PuIiY7ndkHNjL30O/MPfQ7n3QfwenUwhakJo7uprL2Wh0D6jVhQL0mLOtyHwcSr7Dh8km+v3iEkylx7E28zN7Ey8zc9z96eQfycMMODPdvjaPG2lLVq3MyDbnsSYjkYkYyv0Wd4lzaVWKz04nJTiv1HK1aQ2MHN7p4NKCrhz/dvQIIsHeVLjFRa0mCJIQok1mt+2IwFrDqzF4uZiTz1vG/sLMqTGqCHD1KPa+je306utdnXvuBXMlM4dfLJ/nm/CH+jrvAttjzbIs9z1Ph6xjoG4RvjoFWmSk0ci79eqLsFEXhSFI0v0dFkFVg4EDiFQ5ejSI+J4MCxVisvAoV9lprGjm40curIa46W7p6+tPK2RsvG3uZ9i7qFEmQhBBlolKpeKndAKa37Em9714h4lrrEUDQdS1IN1PfzpknmnXjiWbdiMxI5tsLh/nm/CEOJ0WzMSoCgJU/Laabpz8jAtrSwyuQtq4+8oe5DIyKkX9S4lkfeZx/UuI5mhzD5cwUUq7t/XUjPztnmjt50srFmz7ejXDV2dLBrb5sVirENZIgCSHKxUGr5+nmPVh4NAwonJXUyMGt3NdpYO/Cc6378lzrvvyTEscPF47w3fE9nMhPZWf8RXbGXwTAzsqaYE9/engG0t0rgK4e/nW+W0dRFA4nRbMr/iKnUuM5khRNePwl8ktoFdJprOjn3bgwIXL2pKuHP352zjJVXohbkARJCFFu89sPJM+Yz99xF7ivQUv0d9jq0NzZi+db9aVNZDZtenfn+8ijbI87z874i6Tm5fBH9Bn+iD4DFG7g2c7Vlx5egfTwCqC7ZyA+to4VUa1qR1EUzqYlcikzmQOJV9gRf4Hw+Euk5uWUmAxZqdSE1mtKD69AWjh7EWjvShMnD3Qa+VUvRHnJT40Qotys1BrevOueSrl2fTsnZrXpxyz6YVSMnEiOY0f8BXbEXWBn/EUuZSRz4GrhdijvnPwbgHauvtzv34oWzl50dKtP4G20aFlakjGXby8cJhcjB64trnghPYn4nIwSy+s0VvTxbkRTRw/auvrSztWXFs5ed5ysCiEKSYIkhKi21Co1rV19aO3qwxPNugFwOSOFndcSph3xFzmaFMPhpGgOJ0Wbzuvq4U8PrwAG12tGG1df3PV2lqqCSdE0+vPpSZxPv8r59CQi0uLZHR9JfE46aYZc2Lm32Hk6jRWB9q60dPaiu1cg3T0DqGfrhIvOBlsrmfknRGWRBEkIUaP42Tszyr49oxq2B+BqTibfXjjM3oRITqbGcSAxit0Jl9idcIm3jm8DoKmTB4PrNaOdqy/dvQJp5OBWKWv0ZOcbiMxM5lJGMhczij4ncSkjmTNpiaW2BhVp5exNPTsnWjp7mcYKtXerJ11kQliA/NQJIWo0N70dTzXvzlPNuwMQmZHMttjz/BZ1ir9izhGTnUZEaoLZrDsPvR2NHNzp5F4fK5WaIEd3ghw9UKnA3kpHRn5uiffKNxq5mptFal42+YqRqMzUwkQoszAhistOv2msKlTUt3OioYMrDR3caGjvRif3+tTTO3B8x24eHHqvrCYtRDUhCZIQolZpYO/C2MYdGdu4IwBJuVmERZ9h45V/OJOWyL7EyyTkZJKQk8nuhEsVfn97Kx0B9i7427tc99mVAHsXWrn4lDiN3mAwcF4lv46FqE7kJ1IIUau56mwZEdiWEYFtAcjJN3AsOYbwhEvEZqdjMBZwJCmGuOx0jIpCTHYa3jYOaFTqYtdSq1S46exwstajUanwtXX6NxGycyHAwRUXaxvZYkOIWkASJCFEnaK30nKXRwPu8mhg6VCEENVY8X+RhBBCCCHqOEmQhBBCCCFuIAmSEEIIIcQNJEESQgghhLiBJEhCCCGEEDeQBEkIIYQQ4gaSIAkhhBBC3EASJCGEEEKIG0iCJIQQQghxA0mQhBBCCCFuIAmSEEIIIcQNJEESQgghhLiBJEhCCCGEEDeQBEkIIYQQ4gZWlg6gplIUBYC0tLRKub7BYCArK4u0tDS0Wm2l3KO6krpL3aXudYfUXepe1XUv+rtd9He8NJIg3ab09HQA/Pz8LByJEEIIIcorPT0dJyenUp9XKbdKoUSJjEYj0dHRODg4oFKpKvz6aWlp+Pn5cfnyZRwdHSv8+tWZ1F3qLnWvO6TuUveqrruiKKSnp+Pr64taXfpII2lBuk1qtZr69etX+n0cHR3r3A9OEam71L2ukbpL3esaS9X9Zi1HRWSQthBCCCHEDSRBEkIIIYS4gSRI1ZROp2PevHnodDpLh1LlpO5S97pG6i51r2tqQt1lkLYQQgghxA2kBUkIIYQQ4gaSIAkhhBBC3EASJCGEEEKIG0iCJIQQQghxA0mQqqn333+fgIAA9Ho9Xbp0Ye/evZYOqcItWrSIu+66CwcHBzw9PRk2bBgRERFmZXJycnjqqadwc3PD3t6e4cOHExcXZ6GIK8frr7+OSqVi+vTppmO1ud5RUVE88sgjuLm5YWNjQ+vWrdm/f7/peUVRmDt3Lj4+PtjY2BASEsKZM2csGHHFKCgo4KWXXiIwMBAbGxsaNWrEK6+8YrYfVG2q+/bt27nnnnvw9fVFpVKxfv16s+fLUtekpCTGjBmDo6Mjzs7OTJo0iYyMjCqsxe25Wd0NBgOzZs2idevW2NnZ4evry7hx44iOjja7Rm2s+40ef/xxVCoVy5YtMzteXeouCVI19N133zFjxgzmzZvHwYMHadu2LaGhocTHx1s6tAq1bds2nnrqKXbv3s2WLVswGAwMHDiQzMxMU5lnnnmGX3/9lbVr17Jt2zaio6N54IEHLBh1xdq3bx8fffQRbdq0MTteW+udnJxM9+7d0Wq1/Pbbb5w8eZIlS5bg4uJiKrN48WKWL1/OihUr2LNnD3Z2doSGhpKTk2PByO/cG2+8wYcffsh7773HP//8wxtvvMHixYt59913TWVqU90zMzNp27Yt77//fonPl6WuY8aM4cSJE2zZsoUNGzawfft2Hnvssaqqwm27Wd2zsrI4ePAgL730EgcPHmTdunVERERw7733mpWrjXW/3k8//cTu3bvx9fUt9ly1qbsiqp3OnTsrTz31lOlxQUGB4uvrqyxatMiCUVW++Ph4BVC2bdumKIqipKSkKFqtVlm7dq2pzD///KMASnh4uKXCrDDp6elKUFCQsmXLFqV3797KtGnTFEWp3fWeNWuW0qNHj1KfNxqNire3t/Lmm2+ajqWkpCg6nU755ptvqiLESjN06FDl0UcfNTv2wAMPKGPGjFEUpXbXHVB++ukn0+Oy1PXkyZMKoOzbt89U5rffflNUKpUSFRVVZbHfqRvrXpK9e/cqgHLp0iVFUWp/3a9cuaLUq1dPOX78uOLv768sXbrU9Fx1qru0IFUzeXl5HDhwgJCQENMxtVpNSEgI4eHhFoys8qWmpgLg6uoKwIEDBzAYDGavRbNmzWjQoEGteC2eeuophg4dalY/qN31/uWXX+jUqRMjRozA09OT9u3b88knn5iev3DhArGxsWZ1d3JyokuXLjW+7t26dSMsLIzTp08DcOTIEXbs2MHgwYOB2l33G5WlruHh4Tg7O9OpUydTmZCQENRqNXv27KnymCtTamoqKpUKZ2dnoHbX3Wg0MnbsWGbOnEnLli2LPV+d6i6b1VYziYmJFBQU4OXlZXbcy8uLU6dOWSiqymc0Gpk+fTrdu3enVatWAMTGxmJtbW36pVHEy8uL2NhYC0RZcb799lsOHjzIvn37ij1Xm+t9/vx5PvzwQ2bMmMELL7zAvn37mDp1KtbW1owfP95Uv5K+/2t63Z9//nnS0tJo1qwZGo2GgoICXnvtNcaMGQNQq+t+o7LUNTY2Fk9PT7PnrayscHV1rVWvR05ODrNmzWL06NGmTVtrc93feOMNrKysmDp1aonPV6e6S4IkqoWnnnqK48ePs2PHDkuHUukuX77MtGnT2LJlC3q93tLhVCmj0UinTp1YuHAhAO3bt+f48eOsWLGC8ePHWzi6yvX999/z1Vdf8fXXX9OyZUsOHz7M9OnT8fX1rfV1FyUzGAyMHDkSRVH48MMPLR1OpTtw4ADvvPMOBw8eRKVSWTqcW5IutmrG3d0djUZTbMZSXFwc3t7eFoqqck2ZMoUNGzbw559/Ur9+fdNxb29v8vLySElJMStf01+LAwcOEB8fT4cOHbCyssLKyopt27axfPlyrKys8PLyqpX1BvDx8aFFixZmx5o3b05kZCSAqX618ft/5syZPP/884waNYrWrVszduxYnnnmGRYtWgTU7rrfqCx19fb2LjYxJT8/n6SkpFrxehQlR5cuXWLLli2m1iOovXX/+++/iY+Pp0GDBqbffZcuXeL//u//CAgIAKpX3SVBqmasra3p2LEjYWFhpmNGo5GwsDCCg4MtGFnFUxSFKVOm8NNPP7F161YCAwPNnu/YsSNardbstYiIiCAyMrJGvxb9+/fn2LFjHD582PTRqVMnxowZY/q6NtYboHv37sWWcjh9+jT+/v4ABAYG4u3tbVb3tLQ09uzZU+PrnpWVhVpt/itXo9FgNBqB2l33G5WlrsHBwaSkpHDgwAFTma1bt2I0GunSpUuVx1yRipKjM2fO8Mcff+Dm5mb2fG2t+9ixYzl69KjZ7z5fX19mzpzJ77//DlSzulfpkHBRJt9++62i0+mUzz77TDl58qTy2GOPKc7OzkpsbKylQ6tQTzzxhOLk5KT89ddfSkxMjOkjKyvLVObxxx9XGjRooGzdulXZv3+/EhwcrAQHB1sw6spx/Sw2Ram99d67d69iZWWlvPbaa8qZM2eUr776SrG1tVW+/PJLU5nXX39dcXZ2Vn7++Wfl6NGjyn333acEBgYq2dnZFoz8zo0fP16pV6+esmHDBuXChQvKunXrFHd3d+W5554zlalNdU9PT1cOHTqkHDp0SAGUt99+Wzl06JBpplZZ6jpo0CClffv2yp49e5QdO3YoQUFByujRoy1VpTK7Wd3z8vKUe++9V6lfv75y+PBhs999ubm5pmvUxrqX5MZZbIpSfeouCVI19e677yoNGjRQrK2tlc6dOyu7d++2dEgVDijxY/Xq1aYy2dnZypNPPqm4uLgotra2yv3336/ExMRYLuhKcmOCVJvr/euvvyqtWrVSdDqd0qxZM+Xjjz82e95oNCovvfSS4uXlpeh0OqV///5KRESEhaKtOGlpacq0adOUBg0aKHq9XmnYsKHy4osvmv1RrE11//PPP0v8+R4/fryiKGWr69WrV5XRo0cr9vb2iqOjozJx4kQlPT3dArUpn5vV/cKFC6X+7vvzzz9N16iNdS9JSQlSdam7SlGuW8ZVCCGEEELIGCQhhBBCiBtJgiSEEEIIcQNJkIQQQgghbiAJkhBCCCHEDSRBEkIIIYS4gSRIQgghhBA3kARJCCGEEOIGkiAJIYQQQtxAEiQhRK0xYcIEhg0bZrH7jx07loULF5ap7KhRo1iyZEklRySEuF2ykrYQokZQqVQ3fX7evHk888wzKP/fzv2ERLXGYRz/morKHHHEsTERlHDQENMRFWwhMeRA0Ow0cDGQoAsZFLdCzKKFC5caKQRCA6IDYi2CrEUuqo2J2DAFFmLTqkJFofwHY3dx6eAZ9ZZex3uT5wMHzvmd8/K+7yyGh/c9nB8/sNvtpzOoPd68eYPH4yEWi2EYxi+fj0ajNDY2srS0RE5OzimMUESOQgFJRP4Inz9/Ns/D4TDBYJCFhQWzZhjGbwWTZGlvbyctLY3h4eHfblNXV8etW7cIBAJJHJmIHIe22ETkj1BQUGAeOTk5pKSkWGqGYezbYrt69SpdXV309PSQm5uL0+nk/v37fP/+nba2NrKzsyktLeXJkyeWvqLRKNevX8cwDJxOJ36/n+Xl5UPHFo/HmZiYwOfzWer37t3D5XKRmZmJ0+mkubnZct/n8zE+Pv7vfxwROXEKSCJypj148ACHw8HMzAxdXV10dnbS0tLClStXmJubw+v14vf72djYAGBtbQ2Px4Pb7WZ2dpapqSm+fPnCzZs3D+0jEomwvr5ObW2tWZudnaW7u5s7d+6wsLDA1NQUjY2Nlnb19fXMzMywvb2dnMmLyLEpIInImVZVVcXt27dxuVz09vaSmZmJw+Ggo6MDl8tFMBhkZWWFSCQCwN27d3G73fT19VFeXo7b7WZkZITp6Wnev39/YB+xWIzU1FTOnz9v1j59+oTNZuPGjRsUFxfjdrvp7u62tCssLGRnZ8eyfSgi/w8KSCJypl2+fNk8T01NJS8vj8rKSrPmdDoB+Pr1K/D3y9bT09PmO02GYVBeXg7A4uLigX1sbm6SkZFheZG8qamJ4uJiLl68iN/vZ3R01Fyl+ikrKwtgX11E/nsKSCJypqWnp1uuU1JSLLWfoWZ3dxeAb9++4fP5mJ+ftxwfPnzYt0X2k8PhYGNjg52dHbOWnZ3N3NwcY2NjXLhwgWAwSFVVFWtra+Yzq6urAOTn55/IXEXk5CggiYjsUVNTw9u3bykpKaG0tNRy2Gy2A9tUV1cD8O7dO0s9LS2Na9eu0d/fTyQS4ePHjzx//ty8H41GKSoqwuFwJG0+InI8CkgiInsEAgFWV1dpbW3l9evXLC4u8vTpU9ra2ojH4we2yc/Pp6amhpcvX5q1x48fMzAwwPz8PLFYjFAoxO7uLmVlZeYzL168wOv1Jn1OInJ0CkgiInsUFhby6tUr4vE4Xq+XyspKenp6sNvtnDt3+F9me3s7o6Oj5rXdbmdychKPx8OlS5cYHh5mbGyMiooKALa2tnj06BEdHR1Jn5OIHJ0+FCkicgI2NzcpKysjHA7T0NDwy+eHhoZ4+PAhz549O4XRichRaQVJROQEZGVlEQqF/vGDknulp6czODiY5FGJyHFpBUlEREQkgVaQRERERBIoIImIiIgkUEASERERSaCAJCIiIpJAAUlEREQkgQKSiIiISAIFJBEREZEECkgiIiIiCRSQRERERBL8BSTijwYy+4siAAAAAElFTkSuQmCC", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Function.compare_plots(\n", + " [(test_flight.latitude, \"RocketPy\"), (cots_gnss_flight.latitude, \"Actual - GNSS\")],\n", + " title=\"Latitude Comparison\",\n", + " xlabel=\"Time (s)\",\n", + " ylabel=\"Latitude (deg)\",\n", + ")\n", + "Function.compare_plots(\n", + " [\n", + " (test_flight.longitude, \"RocketPy\"),\n", + " (cots_gnss_flight.longitude, \"Actual - GNSS\"),\n", + " ],\n", + " title=\"Longitude Comparison\",\n", + " xlabel=\"Time (s)\",\n", + " ylabel=\"Longitude (deg)\",\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index a43ec15de..4b3d4e088 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -506,6 +506,7 @@ def __init__( # pylint: disable=too-many-arguments,too-many-statements verbose=False, name="Flight", equations_of_motion="standard", + simulation_mode="3 DOF", ): """Run a trajectory simulation. @@ -605,6 +606,7 @@ def __init__( # pylint: disable=too-many-arguments,too-many-statements self.terminate_on_apogee = terminate_on_apogee self.name = name self.equations_of_motion = equations_of_motion + self.simulation_mode = simulation_mode # Controller initialization self.__init_controllers() @@ -1187,9 +1189,15 @@ def __init_solver_monitors(self): def __init_equations_of_motion(self): """Initialize equations of motion.""" - if self.equations_of_motion == "solid_propulsion": + if self.equations_of_motion == "solid_propulsion" and self.simulation_mode == '6 DOF': # NOTE: The u_dot is faster, but only works for solid propulsion self.u_dot_generalized = self.u_dot + elif self.equations_of_motion == "solid_propulsion" and self.simulation_mode == '3 DOF': + # NOTE: The u_dot is faster, but only works for solid propulsion + self.u_dot_generalized = self.u_dot_3dof + elif self.simulation_mode == '3 DOF': + # NOTE: The u_dot is faster, but only works for solid propulsion + self.u_dot_generalized = self.u_dot_generalized_3dof def __init_controllers(self): """Initialize controllers and sensors""" @@ -1369,6 +1377,241 @@ def udot_rail2(self, t, u, post_processing=False): """ # Hey! We will finish this function later, now we just can use u_dot return self.u_dot_generalized(t, u, post_processing=post_processing) + def u_dot_3dof( + self, t, u, post_processing=False + ): # pylint: disable=too-many-locals,too-many-statements + """Calculates derivative of u state vector with respect to time + when rocket is flying in 6 DOF motion during ascent out of rail + and descent without parachute. + + Parameters + ---------- + t : float + Time in seconds + u : list + State vector defined by u = [x, y, z, vx, vy, vz, e0, e1, + e2, e3, omega1, omega2, omega3]. + post_processing : bool, optional + If True, adds flight data information directly to self + variables such as self.angle_of_attack, by default False + + Returns + ------- + u_dot : list + State vector defined by u_dot = [vx, vy, vz, ax, ay, az, + e0dot, e1dot, e2dot, e3dot, alpha1, alpha2, alpha3]. + """ + + # Retrieve integration data + _, _, z, vx, vy, vz, e0, e1, e2, e3, omega1, omega2, omega3 = u + # Determine lift force and moment + omega1, omega2, omega3 = 0, 0, 0 + R1, R2, M1, M2, M3 = 0, 0, 0, 0, 0 + # Determine current behavior + if t < self.rocket.motor.burn_out_time: + # Motor burning + # Retrieve important motor quantities + # Inertias + motor_I_33_at_t = 0 + motor_I_11_at_t = 0 + motor_I_33_derivative_at_t = self.rocket.motor.I_33.differentiate( + t, dx=1e-6 + ) + motor_I_11_derivative_at_t = self.rocket.motor.I_11.differentiate( + t, dx=1e-6 + ) + # Mass + mass_flow_rate_at_t = self.rocket.motor.mass_flow_rate.get_value_opt(t) + propellant_mass_at_t = self.rocket.motor.propellant_mass.get_value_opt(t) + # Thrust + thrust = self.rocket.motor.thrust.get_value_opt(t) + # Off center moment + M1 += 0 * thrust + M2 -= 0 * thrust + else: + # Motor stopped + # Inertias + ( + motor_I_33_at_t, + motor_I_11_at_t, + motor_I_33_derivative_at_t, + motor_I_11_derivative_at_t, + ) = (0, 0, 0, 0) + # Mass + mass_flow_rate_at_t, propellant_mass_at_t = 0, 0 + # thrust + thrust = 0 + + # Retrieve important quantities + # Inertias + rocket_dry_I_33 = 0 + rocket_dry_I_11 = 0 + # Mass + rocket_dry_mass = self.rocket.dry_mass # already with motor's dry mass + total_mass_at_t = propellant_mass_at_t + rocket_dry_mass + mu = (propellant_mass_at_t * rocket_dry_mass) / ( + propellant_mass_at_t + rocket_dry_mass + ) + # Geometry + # b = -self.rocket.distance_rocket_propellant + b = ( + 0 + ) + c = 0 + nozzle_radius = self.rocket.motor.nozzle_radius + # Prepare transformation matrix + a11 = 1 - 2 * (e2**2 + e3**2) + a12 = 2 * (e1 * e2 - e0 * e3) + a13 = 2 * (e1 * e3 + e0 * e2) + a21 = 2 * (e1 * e2 + e0 * e3) + a22 = 1 - 2 * (e1**2 + e3**2) + a23 = 2 * (e2 * e3 - e0 * e1) + a31 = 2 * (e1 * e3 - e0 * e2) + a32 = 2 * (e2 * e3 + e0 * e1) + a33 = 1 - 2 * (e1**2 + e2**2) + # Transformation matrix: (123) -> (XYZ) + K = Matrix([[a11, a12, a13], [a21, a22, a23], [a31, a32, a33]]) + Kt = K.transpose + + # Calculate Forces and Moments + # Get freestream speed + wind_velocity_x = self.env.wind_velocity_x.get_value_opt(z) + wind_velocity_y = self.env.wind_velocity_y.get_value_opt(z) + speed_of_sound = self.env.speed_of_sound.get_value_opt(z) + free_stream_speed = ( + (wind_velocity_x - vx) ** 2 + (wind_velocity_y - vy) ** 2 + (vz) ** 2 + ) ** 0.5 + free_stream_mach = free_stream_speed / speed_of_sound + + # Determine aerodynamics forces + # Determine Drag Force + if t < self.rocket.motor.burn_out_time: + drag_coeff = self.rocket.power_on_drag.get_value_opt(free_stream_mach) + else: + drag_coeff = self.rocket.power_off_drag.get_value_opt(free_stream_mach) + rho = self.env.density.get_value_opt(z) + R3 = -0.5 * rho * (free_stream_speed**2) * self.rocket.area * drag_coeff + for air_brakes in self.rocket.air_brakes: + if air_brakes.deployment_level > 0: + air_brakes_cd = air_brakes.drag_coefficient.get_value_opt( + air_brakes.deployment_level, free_stream_mach + ) + air_brakes_force = ( + -0.5 + * rho + * (free_stream_speed**2) + * air_brakes.reference_area + * air_brakes_cd + ) + if air_brakes.override_rocket_drag: + R3 = air_brakes_force # Substitutes rocket drag coefficient + else: + R3 += air_brakes_force + # Off center moment + M1 += 0 * R3 + M2 -= 0 * R3 + # Get rocket velocity in body frame + vx_b = a11 * vx + a21 * vy + a31 * vz + vy_b = a12 * vx + a22 * vy + a32 * vz + vz_b = a13 * vx + a23 * vy + a33 * vz + # Calculate lift and moment for each component of the rocket + velocity_in_body_frame = Vector([vx_b, vy_b, vz_b]) + w = Vector([omega1, omega2, omega3]) + for aero_surface, _ in self.rocket.aerodynamic_surfaces: + # Component cp relative to CDM in body frame + comp_cp = self.rocket.surfaces_cp_to_cdm[aero_surface] + # Component absolute velocity in body frame + comp_vb = velocity_in_body_frame + (w ^ comp_cp) + # Wind velocity at component altitude + comp_z = z + (K @ comp_cp).z + comp_wind_vx = self.env.wind_velocity_x.get_value_opt(comp_z) + comp_wind_vy = self.env.wind_velocity_y.get_value_opt(comp_z) + # Component freestream velocity in body frame + comp_wind_vb = Kt @ Vector([comp_wind_vx, comp_wind_vy, 0]) + comp_stream_velocity = comp_wind_vb - comp_vb + comp_stream_speed = abs(comp_stream_velocity) + comp_stream_mach = comp_stream_speed / speed_of_sound + # Reynolds at component altitude + # TODO: Reynolds is only used in generic surfaces. This calculation + # should be moved to the surface class for efficiency + comp_reynolds = ( + self.env.density.get_value_opt(comp_z) + * comp_stream_speed + * aero_surface.reference_length + / self.env.dynamic_viscosity.get_value_opt(comp_z) + ) + # Forces and moments + X, Y, Z, M, N, L = aero_surface.compute_forces_and_moments( + comp_stream_velocity, + comp_stream_speed, + comp_stream_mach, + rho, + comp_cp, + w, + comp_reynolds, + ) + R1 += X + R2 += Y + R3 += Z + M1 += 0 + M2 += 0 + M3 += 0 + # Off center moment + M3 += 0 * R2 - 0 * R1 + + # Calculate derivatives + # Angular acceleration + alpha1 = 0 + alpha2 = 0 + alpha3 = 0 + # Euler parameters derivative + e0dot = 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3) + e1dot = 0.5 * (omega1 * e0 + omega3 * e2 - omega2 * e3) + e2dot = 0.5 * (omega2 * e0 - omega3 * e1 + omega1 * e3) + e3dot = 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2) + + # Linear acceleration + L = [ + ( + R1 + - b * propellant_mass_at_t * (omega2**2 + omega3**2) + - 2 * c * mass_flow_rate_at_t * omega2 + ) + / total_mass_at_t, + ( + R2 + + b * propellant_mass_at_t * (alpha3 + omega1 * omega2) + + 2 * c * mass_flow_rate_at_t * omega1 + ) + / total_mass_at_t, + (R3 - b * propellant_mass_at_t * (alpha2 - omega1 * omega3) + thrust) + / total_mass_at_t, + ] + ax, ay, az = K @ Vector(L) + az -= self.env.gravity.get_value_opt(z) # Include gravity + + # Create u_dot + u_dot = [ + vx, + vy, + vz, + ax, + ay, + az, + e0dot, + e1dot, + e2dot, + e3dot, + alpha1, + alpha2, + alpha3, + ] + + if post_processing: + self.__post_processed_variables.append( + [t, ax, ay, az, alpha1, alpha2, alpha3, R1, R2, R3, M1, M2, M3] + ) + return u_dot def u_dot( self, t, u, post_processing=False @@ -1664,6 +1907,200 @@ def u_dot( ) return u_dot + def u_dot_generalized_3dof( + self, t, u, post_processing=False + ): # pylint: disable=too-many-locals,too-many-statements + """Calculates derivative of u state vector with respect to time when the + rocket is flying in 3 DOF motion in space and significant mass variation + effects exist. Typical flight phases include powered ascent after launch + rail. + + Parameters + ---------- + t : float + Time in seconds + u : list + State vector defined by u = [x, y, z, vx, vy, vz, q0, q1, + q2, q3, omega1, omega2, omega3]. + post_processing : bool, optional + If True, adds flight data information directly to self variables + such as self.angle_of_attack, by default False. + + Returns + ------- + u_dot : list + State vector defined by u_dot = [vx, vy, vz, ax, ay, az, + e0_dot, e1_dot, e2_dot, e3_dot, alpha1, alpha2, alpha3]. + """ + # Retrieve integration data + _, _, z, vx, vy, vz, e0, e1, e2, e3, omega1, omega2, omega3 = u + + # Create necessary vectors + # r = Vector([x, y, z]) # CDM position vector + v = Vector([vx, vy, vz]) # CDM velocity vector + e = [e0, e1, e2, e3] # Euler parameters/quaternions + w = Vector([0, 0, 0]) # Angular velocity vector + + # Retrieve necessary quantities + ## Rocket mass + total_mass = self.rocket.total_mass.get_value_opt(t) + total_mass_dot = self.rocket.total_mass_flow_rate.get_value_opt(t) + total_mass_ddot = self.rocket.total_mass_flow_rate.differentiate_complex_step(t) + ## CM position vector and time derivatives relative to CDM in body frame + r_CM_z = self.rocket.com_to_cdm_function + r_CM_t = r_CM_z.get_value_opt(t) + r_CM = Vector([0, 0, r_CM_t]) + r_CM_dot = Vector([0, 0, r_CM_z.differentiate_complex_step(t)]) + r_CM_ddot = Vector([0, 0, r_CM_z.differentiate(t, order=2)]) + ## Nozzle position vector + r_NOZ = Vector([0, 0, self.rocket.nozzle_to_cdm]) + ## Nozzle gyration tensor + S_nozzle = self.rocket.nozzle_gyration_tensor + ## Inertia tensor + inertia_tensor = 0 + ## Inertia tensor time derivative in the body frame + I_dot = 0 + + # Calculate the Inertia tensor relative to CM + H = 0 + I_CM = 0 + + # Prepare transformation matrices + K = Matrix.transformation(e) + Kt = K.transpose + + # Compute aerodynamic forces and moments + R1, R2, R3, M1, M2, M3 = 0, 0, 0, 0, 0, 0 + + ## Drag force + rho = self.env.density.get_value_opt(z) + wind_velocity_x = self.env.wind_velocity_x.get_value_opt(z) + wind_velocity_y = self.env.wind_velocity_y.get_value_opt(z) + wind_velocity = Vector([wind_velocity_x, wind_velocity_y, 0]) + free_stream_speed = abs((wind_velocity - Vector(v))) + speed_of_sound = self.env.speed_of_sound.get_value_opt(z) + free_stream_mach = free_stream_speed / speed_of_sound + + if t < self.rocket.motor.burn_out_time: + drag_coeff = self.rocket.power_on_drag.get_value_opt(free_stream_mach) + else: + drag_coeff = self.rocket.power_off_drag.get_value_opt(free_stream_mach) + R3 += -0.5 * rho * (free_stream_speed**2) * self.rocket.area * drag_coeff + for air_brakes in self.rocket.air_brakes: + if air_brakes.deployment_level > 0: + air_brakes_cd = air_brakes.drag_coefficient.get_value_opt( + air_brakes.deployment_level, free_stream_mach + ) + air_brakes_force = ( + -0.5 + * rho + * (free_stream_speed**2) + * air_brakes.reference_area + * air_brakes_cd + ) + if air_brakes.override_rocket_drag: + R3 = air_brakes_force # Substitutes rocket drag coefficient + else: + R3 += air_brakes_force + # Get rocket velocity in body frame + velocity_in_body_frame = Kt @ v + # Calculate lift and moment for each component of the rocket + for aero_surface, _ in self.rocket.aerodynamic_surfaces: + # Component cp relative to CDM in body frame + comp_cp = self.rocket.surfaces_cp_to_cdm[aero_surface] + # Component absolute velocity in body frame + comp_vb = velocity_in_body_frame + (w ^ comp_cp) + # Wind velocity at component altitude + comp_z = z + (K @ comp_cp).z + comp_wind_vx = self.env.wind_velocity_x.get_value_opt(comp_z) + comp_wind_vy = self.env.wind_velocity_y.get_value_opt(comp_z) + # Component freestream velocity in body frame + comp_wind_vb = Kt @ Vector([comp_wind_vx, comp_wind_vy, 0]) + comp_stream_velocity = comp_wind_vb - comp_vb + comp_stream_speed = abs(comp_stream_velocity) + comp_stream_mach = comp_stream_speed / speed_of_sound + # Reynolds at component altitude + # TODO: Reynolds is only used in generic surfaces. This calculation + # should be moved to the surface class for efficiency + comp_reynolds = ( + self.env.density.get_value_opt(comp_z) + * comp_stream_speed + * aero_surface.reference_length + / self.env.dynamic_viscosity.get_value_opt(comp_z) + ) + # Forces and moments + X, Y, Z = aero_surface.compute_forces_and_moments( + comp_stream_velocity, + comp_stream_speed, + comp_stream_mach, + rho, + comp_cp, + w, + comp_reynolds, + ) + R1 += X + R2 += Y + R3 += Z + + # No Off center moment for 3DOF + thrust = self.rocket.motor.thrust.get_value_opt(t) + + + weight_in_body_frame = Kt @ Vector( + [0, 0, -total_mass * self.env.gravity.get_value_opt(z)] + ) + + T00 = total_mass * r_CM + T03 = 2 * total_mass_dot * (r_NOZ - r_CM) - 2 * total_mass * r_CM_dot + T04 = ( + Vector([0, 0, thrust]) + - total_mass * r_CM_ddot + - 2 * total_mass_dot * r_CM_dot + + total_mass_ddot * (r_NOZ - r_CM) + ) + T05 = total_mass_dot * S_nozzle - I_dot + + T20 = ( + ((w ^ T00) ^ w) + + (w ^ T03) + + T04 + + weight_in_body_frame + + Vector([R1, R2, R3]) + ) + + T21 = ( + ((inertia_tensor @ w) ^ w) + + T05 @ w + - (weight_in_body_frame ^ r_CM) + + Vector([M1, M2, M3]) + ) + + # Angular velocity derivative + w_dot = I_CM.inverse @ (T21 + (T20 ^ r_CM)) + + # Velocity vector derivative + v_dot = K @ (T20 / total_mass - (r_CM ^ w_dot)) + + # Euler parameters derivative + e_dot = [ + 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3), + 0.5 * (omega1 * e0 + omega3 * e2 - omega2 * e3), + 0.5 * (omega2 * e0 - omega3 * e1 + omega1 * e3), + 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2), + ] + + # Position vector derivative + r_dot = [vx, vy, vz] + + # Create u_dot + u_dot = [*r_dot, *v_dot, *e_dot, *w_dot] + + if post_processing: + self.__post_processed_variables.append( + [t, *v_dot, *w_dot, R1, R2, R3, M1, M2, M3] + ) + + return u_dot def u_dot_generalized( self, t, u, post_processing=False From a768648009673a0dacbb261521aa5d9bad8079a7 Mon Sep 17 00:00:00 2001 From: aZira371 Date: Fri, 6 Dec 2024 01:26:45 +0000 Subject: [PATCH 02/56] ENH/3-dof-simulation (See RocketPy-Team#655) ENH: adds 3 DOF simulation capability to rocketpy.Flight. *ENH: added "u_dot_3dof" for "solid_propulsion" mode *ENH: added "u_dot_generalized_3dof" for "standard" mode *ENH: new parameter "simulation_mode" for swtiching between 3 dof and 6 dof *ENH: updated conditions for "__init_equations_of_motion" --- rocketpy/simulation/flight.py | 121 ++++++++++------------------------ 1 file changed, 35 insertions(+), 86 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 4b3d4e088..5f8ed3534 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -506,7 +506,7 @@ def __init__( # pylint: disable=too-many-arguments,too-many-statements verbose=False, name="Flight", equations_of_motion="standard", - simulation_mode="3 DOF", + simulation_mode="6 DOF", ): """Run a trajectory simulation. @@ -582,7 +582,19 @@ def __init__( # pylint: disable=too-many-arguments,too-many-statements more restricted set of equations of motion that only works for solid propulsion rockets. Such equations were used in RocketPy v0 and are kept here for backwards compatibility. - + simulation_mode : str, optional + Type of equations of motion to use. Can be "3 DOF" or + "6 DOF". Default is "6 DOF". 3 DOF is a restricted set of equations + of motion that only solves the 3 translational degree of freedom. + The system is assumed to be a point-mass system located at the + center of mass. Currently, the aerodynamic forces are solved at + the specified location but translated to the center of mass without + adding the transferring momements. Additionally, neither + the angular componenets such as omegas aren't evaluated as well + nor like moment of inertias are not taken into account. The + structure of functions for 3 DOF is kept very similar to + the original 6 DOF model for identifying missing components + and easy read. Returns ------- None @@ -1377,6 +1389,7 @@ def udot_rail2(self, t, u, post_processing=False): """ # Hey! We will finish this function later, now we just can use u_dot return self.u_dot_generalized(t, u, post_processing=post_processing) + def u_dot_3dof( self, t, u, post_processing=False ): # pylint: disable=too-many-locals,too-many-statements @@ -1411,15 +1424,6 @@ def u_dot_3dof( if t < self.rocket.motor.burn_out_time: # Motor burning # Retrieve important motor quantities - # Inertias - motor_I_33_at_t = 0 - motor_I_11_at_t = 0 - motor_I_33_derivative_at_t = self.rocket.motor.I_33.differentiate( - t, dx=1e-6 - ) - motor_I_11_derivative_at_t = self.rocket.motor.I_11.differentiate( - t, dx=1e-6 - ) # Mass mass_flow_rate_at_t = self.rocket.motor.mass_flow_rate.get_value_opt(t) propellant_mass_at_t = self.rocket.motor.propellant_mass.get_value_opt(t) @@ -1430,35 +1434,18 @@ def u_dot_3dof( M2 -= 0 * thrust else: # Motor stopped - # Inertias - ( - motor_I_33_at_t, - motor_I_11_at_t, - motor_I_33_derivative_at_t, - motor_I_11_derivative_at_t, - ) = (0, 0, 0, 0) # Mass mass_flow_rate_at_t, propellant_mass_at_t = 0, 0 # thrust thrust = 0 # Retrieve important quantities - # Inertias - rocket_dry_I_33 = 0 - rocket_dry_I_11 = 0 # Mass rocket_dry_mass = self.rocket.dry_mass # already with motor's dry mass total_mass_at_t = propellant_mass_at_t + rocket_dry_mass mu = (propellant_mass_at_t * rocket_dry_mass) / ( propellant_mass_at_t + rocket_dry_mass ) - # Geometry - # b = -self.rocket.distance_rocket_propellant - b = ( - 0 - ) - c = 0 - nozzle_radius = self.rocket.motor.nozzle_radius # Prepare transformation matrix a11 = 1 - 2 * (e2**2 + e3**2) a12 = 2 * (e1 * e2 - e0 * e3) @@ -1507,9 +1494,6 @@ def u_dot_3dof( R3 = air_brakes_force # Substitutes rocket drag coefficient else: R3 += air_brakes_force - # Off center moment - M1 += 0 * R3 - M2 -= 0 * R3 # Get rocket velocity in body frame vx_b = a11 * vx + a21 * vy + a31 * vz vy_b = a12 * vx + a22 * vy + a32 * vz @@ -1553,38 +1537,19 @@ def u_dot_3dof( R1 += X R2 += Y R3 += Z - M1 += 0 - M2 += 0 - M3 += 0 - # Off center moment - M3 += 0 * R2 - 0 * R1 - - # Calculate derivatives - # Angular acceleration - alpha1 = 0 - alpha2 = 0 - alpha3 = 0 - # Euler parameters derivative - e0dot = 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3) - e1dot = 0.5 * (omega1 * e0 + omega3 * e2 - omega2 * e3) - e2dot = 0.5 * (omega2 * e0 - omega3 * e1 + omega1 * e3) - e3dot = 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2) - # Linear acceleration L = [ ( R1 - - b * propellant_mass_at_t * (omega2**2 + omega3**2) - - 2 * c * mass_flow_rate_at_t * omega2 + ) / total_mass_at_t, ( R2 - + b * propellant_mass_at_t * (alpha3 + omega1 * omega2) - + 2 * c * mass_flow_rate_at_t * omega1 + ) / total_mass_at_t, - (R3 - b * propellant_mass_at_t * (alpha2 - omega1 * omega3) + thrust) + (R3 + thrust) / total_mass_at_t, ] ax, ay, az = K @ Vector(L) @@ -1598,18 +1563,18 @@ def u_dot_3dof( ax, ay, az, - e0dot, - e1dot, - e2dot, - e3dot, - alpha1, - alpha2, - alpha3, + 0, + 0, + 0, + 0, + 0, + 0, + 0, ] if post_processing: self.__post_processed_variables.append( - [t, ax, ay, az, alpha1, alpha2, alpha3, R1, R2, R3, M1, M2, M3] + [t, ax, ay, az, 0, 0, 0, R1, R2, R3, 0, 0, 0] ) return u_dot @@ -1939,7 +1904,7 @@ def u_dot_generalized_3dof( # r = Vector([x, y, z]) # CDM position vector v = Vector([vx, vy, vz]) # CDM velocity vector e = [e0, e1, e2, e3] # Euler parameters/quaternions - w = Vector([0, 0, 0]) # Angular velocity vector + w = Vector([omega1, omega2, omega3]) # Angular velocity vector # Retrieve necessary quantities ## Rocket mass @@ -2050,43 +2015,27 @@ def u_dot_generalized_3dof( [0, 0, -total_mass * self.env.gravity.get_value_opt(z)] ) - T00 = total_mass * r_CM - T03 = 2 * total_mass_dot * (r_NOZ - r_CM) - 2 * total_mass * r_CM_dot T04 = ( Vector([0, 0, thrust]) - - total_mass * r_CM_ddot - - 2 * total_mass_dot * r_CM_dot - + total_mass_ddot * (r_NOZ - r_CM) ) - T05 = total_mass_dot * S_nozzle - I_dot - T20 = ( - ((w ^ T00) ^ w) - + (w ^ T03) - + T04 + T20 = (T04 + weight_in_body_frame + Vector([R1, R2, R3]) ) - T21 = ( - ((inertia_tensor @ w) ^ w) - + T05 @ w - - (weight_in_body_frame ^ r_CM) - + Vector([M1, M2, M3]) - ) - # Angular velocity derivative - w_dot = I_CM.inverse @ (T21 + (T20 ^ r_CM)) + w_dot = 0 # Velocity vector derivative - v_dot = K @ (T20 / total_mass - (r_CM ^ w_dot)) + v_dot = K @ (T20 / total_mass) # Euler parameters derivative e_dot = [ - 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3), - 0.5 * (omega1 * e0 + omega3 * e2 - omega2 * e3), - 0.5 * (omega2 * e0 - omega3 * e1 + omega1 * e3), - 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2), + 0, + 0, + 0, + 0, ] # Position vector derivative @@ -2109,7 +2058,7 @@ def u_dot_generalized( rocket is flying in 6 DOF motion in space and significant mass variation effects exist. Typical flight phases include powered ascent after launch rail. - + Parameters ---------- t : float From 9b00c57a92cd248b0c7c79913bcab6a0132a0792 Mon Sep 17 00:00:00 2001 From: aZira371 Date: Fri, 6 Dec 2024 21:38:04 +0000 Subject: [PATCH 03/56] MNT: cleaned up new functions and ENH: fixed standard 3 dof *MNT: Cleaned up the "u_dot_3dof" and "u_dot_generalized_3_dof" *MNT: Corrected Typos in "simulation_mode" description *ENH: "u_dot_generalized_3_dof" fixed and tested on examples. --- rocketpy/simulation/flight.py | 37 ++++++----------------------------- 1 file changed, 6 insertions(+), 31 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 5f8ed3534..2b6c12be1 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -589,8 +589,8 @@ def __init__( # pylint: disable=too-many-arguments,too-many-statements The system is assumed to be a point-mass system located at the center of mass. Currently, the aerodynamic forces are solved at the specified location but translated to the center of mass without - adding the transferring momements. Additionally, neither - the angular componenets such as omegas aren't evaluated as well + adding the transferring moments. Additionally, neither + the angular components such as omegas aren't evaluated as well nor like moment of inertias are not taken into account. The structure of functions for 3 DOF is kept very similar to the original 6 DOF model for identifying missing components @@ -1425,17 +1425,13 @@ def u_dot_3dof( # Motor burning # Retrieve important motor quantities # Mass - mass_flow_rate_at_t = self.rocket.motor.mass_flow_rate.get_value_opt(t) propellant_mass_at_t = self.rocket.motor.propellant_mass.get_value_opt(t) # Thrust thrust = self.rocket.motor.thrust.get_value_opt(t) - # Off center moment - M1 += 0 * thrust - M2 -= 0 * thrust else: # Motor stopped # Mass - mass_flow_rate_at_t, propellant_mass_at_t = 0, 0 + propellant_mass_at_t = 0 # thrust thrust = 0 @@ -1909,27 +1905,6 @@ def u_dot_generalized_3dof( # Retrieve necessary quantities ## Rocket mass total_mass = self.rocket.total_mass.get_value_opt(t) - total_mass_dot = self.rocket.total_mass_flow_rate.get_value_opt(t) - total_mass_ddot = self.rocket.total_mass_flow_rate.differentiate_complex_step(t) - ## CM position vector and time derivatives relative to CDM in body frame - r_CM_z = self.rocket.com_to_cdm_function - r_CM_t = r_CM_z.get_value_opt(t) - r_CM = Vector([0, 0, r_CM_t]) - r_CM_dot = Vector([0, 0, r_CM_z.differentiate_complex_step(t)]) - r_CM_ddot = Vector([0, 0, r_CM_z.differentiate(t, order=2)]) - ## Nozzle position vector - r_NOZ = Vector([0, 0, self.rocket.nozzle_to_cdm]) - ## Nozzle gyration tensor - S_nozzle = self.rocket.nozzle_gyration_tensor - ## Inertia tensor - inertia_tensor = 0 - ## Inertia tensor time derivative in the body frame - I_dot = 0 - - # Calculate the Inertia tensor relative to CM - H = 0 - I_CM = 0 - # Prepare transformation matrices K = Matrix.transformation(e) Kt = K.transpose @@ -1994,7 +1969,7 @@ def u_dot_generalized_3dof( / self.env.dynamic_viscosity.get_value_opt(comp_z) ) # Forces and moments - X, Y, Z = aero_surface.compute_forces_and_moments( + X, Y, Z, M, N, L = aero_surface.compute_forces_and_moments( comp_stream_velocity, comp_stream_speed, comp_stream_mach, @@ -2025,7 +2000,7 @@ def u_dot_generalized_3dof( ) # Angular velocity derivative - w_dot = 0 + w_dot = [0, 0, 0] # Velocity vector derivative v_dot = K @ (T20 / total_mass) @@ -2046,7 +2021,7 @@ def u_dot_generalized_3dof( if post_processing: self.__post_processed_variables.append( - [t, *v_dot, *w_dot, R1, R2, R3, M1, M2, M3] + [t, *v_dot, *w_dot, R1, R2, R3, 0, 0, 0] ) return u_dot From 4524219effa87a501cfee0dfd01602017824255d Mon Sep 17 00:00:00 2001 From: aZira371 Date: Tue, 25 Feb 2025 19:55:14 +0000 Subject: [PATCH 04/56] ENH: Addition of point mass classes to rocketpy.rocket and rocketpy.motor ENH: added "BaseRocket" and "PointMassRocket" to rocket class ENH: added "PointMassMotor" to motor class with various input cases of thrust values --- rocketpy/motors/PointMassMotor.py | 74 +++++++++++++++++++++++++++++++ rocketpy/rocket/rocket.py | 18 +++++++- 2 files changed, 91 insertions(+), 1 deletion(-) create mode 100644 rocketpy/motors/PointMassMotor.py diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py new file mode 100644 index 000000000..61665fa72 --- /dev/null +++ b/rocketpy/motors/PointMassMotor.py @@ -0,0 +1,74 @@ +from functools import cached_property +import numpy as np +from ..mathutils.function import Function, funcify_method +from .motor import Motor + +class PointMassMotor(Motor): + """Class representing a motor modeled as a point mass. + Inherits from the Motor class and simplifies the model to a thrust-producing + object without detailed structural components.""" + + def __init__( + self, + thrust_source, + dry_mass, + thrust_curve=None, + propellant_initial_mass=None, + propellant_final_mass=None, + burn_time=None, + center_of_dry_mass_position=0, + interpolation_method="linear", + ): + """Initialize the PointMassMotor class. + + Parameters + ---------- + thrust_source : int, float, callable, string, array, Function + Thrust source similar to the Motor class. + dry_mass : float + Total dry mass of the motor in kg. + thrust_curve : Function, np.array, or str (csv file), optional + Required if thrust_source is a csv file, Function, or np.array. + propellant_initial_mass : float, optional + Required if thrust_source is a csv file, Function, or np.array. + propellant_final_mass : float, optional + Required if thrust_source is callable. + burn_time : float or tuple of float, optional + Required if thrust_source is callable or if a thrust value is given. + center_of_dry_mass_position : float, optional + Initial position of the motor, default is 0. + interpolation_method : string, optional + Interpolation method for thrust curve, default is 'linear'. + """ + if isinstance(thrust_source, (Function, np.ndarray, str)): + if thrust_curve is None or propellant_initial_mass is None: + raise ValueError("thrust_curve and propellant_initial_mass are required for csv, Function, or np.array inputs.") + elif callable(thrust_source): + if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time, propellant_final_mass]): + raise ValueError("thrust_curve, propellant_initial_mass, burn_time, and propellant_final_mass are required for callable inputs.") + elif isinstance(thrust_source, (int, float)): + if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time]): + raise ValueError("thrust_curve, propellant_initial_mass, and burn_time are required when a thrust value is given.") + + super().__init__( + thrust_source=thrust_source, + dry_mass=dry_mass, + center_of_dry_mass_position=center_of_dry_mass_position, + burn_time=burn_time, + interpolation_method=interpolation_method, + ) + + @funcify_method("Time (s)", "Thrust (N)") + def thrust(self): + """Returns the thrust of the motor as a function of time.""" + return self.thrust_source + + @cached_property + def total_mass(self): + """Returns the constant total mass of the point mass motor.""" + return self.dry_mass + + @funcify_method("Time (s)", "Acceleration (m/s^2)") + def acceleration(self): + """Computes the acceleration of the motor as thrust divided by mass.""" + return self.thrust() / self.total_mass diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index ef69f7641..c9a4f555f 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -24,7 +24,23 @@ from rocketpy.rocket.parachute import Parachute from rocketpy.tools import parallel_axis_theorem_from_com - +class BaseRocket: + """Base class for a rocket model with minimal attributes and methods.""" + def __init__(self, mass): + self.mass = mass + self.motor = None + def add_motor(self, motor): + self.motor = motor + def evaluate_total_mass(self): + if self.motor: + return self.mass + self.motor.total_mass + return self.mass + +class PointMassRocket(BaseRocket): + """Rocket modeled as a point mass for3-DOF simulations.""" + def __init__(self, mass, drag_coefficient=0): + super().__init__(mass) + self.drag_coefficient = drag_coefficient # pylint: disable=too-many-instance-attributes, too-many-public-methods, too-many-instance-attributes class Rocket: """Keeps rocket information. From 57b47328a520b61e5d9f8e0195d09ce82fc3944b Mon Sep 17 00:00:00 2001 From: aZira371 Date: Fri, 11 Apr 2025 20:31:46 +0100 Subject: [PATCH 05/56] ENH: PointMassMotor and PointMassRocket working as intended after some tests ENH: Added a new jupyter notebook for a simplified 3 DOF example MNT: PointMassMotor intialization error fixed MNT: PointMassRocket properties enhanced based on the example runs --- docs/examples/3_DOF_TRIAL.ipynb | 268 ++++++++++++++++++++++++++++++ rocketpy/__init__.py | 2 + rocketpy/motors/PointMassMotor.py | 46 ++++- rocketpy/rocket/__init__.py | 2 + rocketpy/rocket/rocket.py | 45 ++++- 5 files changed, 358 insertions(+), 5 deletions(-) create mode 100644 docs/examples/3_DOF_TRIAL.ipynb diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb new file mode 100644 index 000000000..c0da08c22 --- /dev/null +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# 3 DOF Rocket Flight Simulation using RocketPy\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.signal import savgol_filter\n", + "from rocketpy.rocket.rocket import BaseRocket\n", + "from rocketpy.rocket.rocket import PointMassRocket\n", + "from rocketpy.motors.PointMassMotor import PointMassMotor\n", + "from rocketpy import Flight, Environment, Function\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Gravity Details\n", + "\n", + "Acceleration of gravity at surface level: 9.8100 m/s²\n", + "Acceleration of gravity at 1.000 km (ASL): 9.8100 m/s²\n", + "\n", + "\n", + "Launch Site Details\n", + "\n", + "Launch Date: 2020-02-22 13:00:00 UTC\n", + "Launch Site Latitude: 47.21348°\n", + "Launch Site Longitude: 9.00334°\n", + "Reference Datum: SIRGAS2000\n", + "Launch Site UTM coordinates: 500252.61 E 5228887.37 N\n", + "Launch Site UTM zone: 32T\n", + "Launch Site Surface Elevation: 407.0 m\n", + "\n", + "\n", + "Atmospheric Model Details\n", + "\n", + "Atmospheric Model Type: Reanalysis\n", + "Reanalysis Maximum Height: 1.000 km\n", + "Reanalysis Time Period: from 2020-02-22 00:00:00 to 2020-02-22 18:00:00 utc\n", + "Reanalysis Hour Interval: 4 hrs\n", + "Reanalysis Latitude Range: From 48.0° to 46.0°\n", + "Reanalysis Longitude Range: From 8.0° to 10.0°\n", + "\n", + "Surface Atmospheric Conditions\n", + "\n", + "Surface Wind Speed: 1.26 m/s\n", + "Surface Wind Direction: 213.21°\n", + "Surface Wind Heading: 33.21°\n", + "Surface Pressure: 980.43 hPa\n", + "Surface Temperature: 286.63 K\n", + "Surface Air Density: 1.192 kg/m³\n", + "Surface Speed of Sound: 339.39 m/s\n", + "\n", + "\n", + "Earth Model Details\n", + "\n", + "Earth Radius at Launch site: 6366.66 km\n", + "Semi-major Axis: 6378.14 km\n", + "Semi-minor Axis: 6356.75 km\n", + "Flattening: 0.0034\n", + "\n", + "\n", + "Atmospheric Model Plots\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Define Environment\n", + "# Environment conditions\n", + "env = Environment(\n", + " gravity=9.81,\n", + " latitude=47.213476,\n", + " longitude=9.003336,\n", + " date=(2020, 2, 22, 13),\n", + " elevation=407,\n", + ")\n", + "\n", + "env.set_atmospheric_model(\n", + " type=\"Reanalysis\",\n", + " file=\"../../data/weather/bella_lui_weather_data_ERA5.nc\",\n", + " dictionary=\"ECMWF\",\n", + ")\n", + "env.max_expected_height = 1000\n", + "env.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# Define Motor\n", + "# Thrust profile: constant for 3 seconds\n", + "def thrust_profile(t):\n", + " return 250 if 0 <= t <= 3 else 0\n", + "\n", + "motor = PointMassMotor(\n", + " thrust_source=thrust_profile,\n", + " dry_mass=1.0,\n", + " thrust_curve=thrust_profile,\n", + " propellant_initial_mass=0.5,\n", + " propellant_final_mass=0.0,\n", + " burn_time=3.0\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# Define Rocket\n", + "rocket = PointMassRocket(mass=2.0, drag_coefficient=0.75)\n", + "rocket.add_motor(motor)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wind_velocity_y = Function from R1 to R1 : (Height Above Sea Level (m)) → (Wind Velocity Y (m/s))\n", + "type: \n", + "has get_value_opt: True\n" + ] + } + ], + "source": [ + "def wrap_env_check(env):\n", + " original_get_value_opt = env.wind_velocity_y.get_value_opt\n", + " def safe_get_value_opt(*args, **kwargs):\n", + " print(\"✅ get_value_opt called with\", args, kwargs)\n", + " return original_get_value_opt(*args, **kwargs)\n", + " env.wind_velocity_y.get_value_opt = safe_get_value_opt\n", + " return env\n", + "\n", + "env = wrap_env_check(env)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'tuple' object has no attribute 'get_value_opt'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[21], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Simulate Flight (3 DOF)\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m flight \u001b[38;5;241m=\u001b[39m \u001b[43mFlight\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43menvironment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mrail_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43minclination\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m85\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# degrees from horizontal\u001b[39;49;00m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mheading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m90\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# east\u001b[39;49;00m\n\u001b[0;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43msimulation_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m3 DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mterminate_on_apogee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTest3DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 12\u001b[0m \u001b[43m)\u001b[49m\n", + "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:653\u001b[0m, in \u001b[0;36mFlight.__init__\u001b[1;34m(self, rocket, environment, rail_length, inclination, heading, initial_solution, terminate_on_apogee, max_time, max_time_step, min_time_step, rtol, atol, time_overshoot, verbose, name, equations_of_motion, simulation_mode, ode_solver)\u001b[0m\n\u001b[0;32m 650\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mflight_phases\u001b[38;5;241m.\u001b[39madd_phase(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_time)\n\u001b[0;32m 652\u001b[0m \u001b[38;5;66;03m# Simulate flight\u001b[39;00m\n\u001b[1;32m--> 653\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__simulate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 655\u001b[0m \u001b[38;5;66;03m# Initialize prints and plots objects\u001b[39;00m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprints \u001b[38;5;241m=\u001b[39m _FlightPrints(\u001b[38;5;28mself\u001b[39m)\n", + "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:817\u001b[0m, in \u001b[0;36mFlight.__simulate\u001b[1;34m(self, verbose)\u001b[0m\n\u001b[0;32m 814\u001b[0m \u001b[38;5;66;03m# Step through simulation\u001b[39;00m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 816\u001b[0m \u001b[38;5;66;03m# Execute solver step, log solution and function evaluations\u001b[39;00m\n\u001b[1;32m--> 817\u001b[0m \u001b[43mphase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 818\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msolution \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [[phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mt, \u001b[38;5;241m*\u001b[39mphase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39my]]\n\u001b[0;32m 819\u001b[0m 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\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfailed\u001b[39m\u001b[38;5;124m'\u001b[39m\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\lsoda.py:152\u001b[0m, in \u001b[0;36mLSODA._step_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 150\u001b[0m itask \u001b[38;5;241m=\u001b[39m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m 151\u001b[0m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5\u001b[39m\n\u001b[1;32m--> 152\u001b[0m solver\u001b[38;5;241m.\u001b[39m_y, solver\u001b[38;5;241m.\u001b[39mt \u001b[38;5;241m=\u001b[39m \u001b[43mintegrator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 153\u001b[0m \u001b[43m 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\u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:138\u001b[0m, in \u001b[0;36mOdeSolver.__init__..fun\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 136\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(t, y):\n\u001b[0;32m 137\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnfev \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m--> 138\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun_single\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:20\u001b[0m, in \u001b[0;36mcheck_arguments..fun_wrapped\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun_wrapped\u001b[39m(t, y):\n\u001b[1;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39masarray(\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m, dtype\u001b[38;5;241m=\u001b[39mdtype)\n", + "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:1375\u001b[0m, in \u001b[0;36mFlight.udot_rail1\u001b[1;34m(self, t, u, post_processing)\u001b[0m\n\u001b[0;32m 1371\u001b[0m _, _, z, vx, vy, vz, e0, e1, e2, e3, _, _, _ \u001b[38;5;241m=\u001b[39m u\n\u001b[0;32m 1373\u001b[0m \u001b[38;5;66;03m# Retrieve important quantities\u001b[39;00m\n\u001b[0;32m 1374\u001b[0m \u001b[38;5;66;03m# Mass\u001b[39;00m\n\u001b[1;32m-> 1375\u001b[0m total_mass_at_t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtotal_mass\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_value_opt\u001b[49m(t)\n\u001b[0;32m 1377\u001b[0m \u001b[38;5;66;03m# Get freestream speed\u001b[39;00m\n\u001b[0;32m 1378\u001b[0m free_stream_speed \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 1379\u001b[0m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_x\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vx) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1380\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_y\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vy) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1381\u001b[0m \u001b[38;5;241m+\u001b[39m (vz) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1382\u001b[0m ) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m0.5\u001b[39m\n", + "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'get_value_opt'" + ] + } + ], + "source": [ + "# Simulate Flight (3 DOF)\n", + "flight = Flight(\n", + " rocket=rocket,\n", + " environment=env,\n", + " rail_length=5.0,\n", + " inclination=85, # degrees from horizontal\n", + " heading=90, # east\n", + " simulation_mode=\"3 DOF\",\n", + " terminate_on_apogee=True,\n", + " max_time=20,\n", + " name=\"Test3DOF\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'tuple' object has no attribute 'get_value_opt'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[2], line 29\u001b[0m\n\u001b[0;32m 23\u001b[0m rocket\u001b[38;5;241m.\u001b[39madd_motor(motor)\n\u001b[0;32m 25\u001b[0m \u001b[38;5;66;03m# %% [markdown]\u001b[39;00m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;66;03m# ## Simulate Flight (3 DOF)\u001b[39;00m\n\u001b[0;32m 27\u001b[0m \n\u001b[0;32m 28\u001b[0m \u001b[38;5;66;03m# %% [code]\u001b[39;00m\n\u001b[1;32m---> 29\u001b[0m flight \u001b[38;5;241m=\u001b[39m \u001b[43mFlight\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 30\u001b[0m \u001b[43m \u001b[49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 31\u001b[0m \u001b[43m \u001b[49m\u001b[43menvironment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 32\u001b[0m \u001b[43m \u001b[49m\u001b[43mrail_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 33\u001b[0m \u001b[43m \u001b[49m\u001b[43minclination\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m85\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# degrees from horizontal\u001b[39;49;00m\n\u001b[0;32m 34\u001b[0m \u001b[43m \u001b[49m\u001b[43mheading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m90\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# east\u001b[39;49;00m\n\u001b[0;32m 35\u001b[0m \u001b[43m \u001b[49m\u001b[43msimulation_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m3 DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 36\u001b[0m \u001b[43m \u001b[49m\u001b[43mterminate_on_apogee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 38\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTest3DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 39\u001b[0m \u001b[43m)\u001b[49m\n\u001b[0;32m 41\u001b[0m \u001b[38;5;66;03m# %% [markdown]\u001b[39;00m\n\u001b[0;32m 42\u001b[0m \u001b[38;5;66;03m# ## Plot Altitude\u001b[39;00m\n\u001b[0;32m 43\u001b[0m \n\u001b[0;32m 44\u001b[0m \u001b[38;5;66;03m# %% [code]\u001b[39;00m\n\u001b[0;32m 45\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n", + "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:653\u001b[0m, in \u001b[0;36mFlight.__init__\u001b[1;34m(self, rocket, environment, rail_length, inclination, heading, initial_solution, terminate_on_apogee, max_time, max_time_step, min_time_step, rtol, atol, time_overshoot, verbose, name, equations_of_motion, simulation_mode, ode_solver)\u001b[0m\n\u001b[0;32m 650\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mflight_phases\u001b[38;5;241m.\u001b[39madd_phase(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_time)\n\u001b[0;32m 652\u001b[0m \u001b[38;5;66;03m# Simulate flight\u001b[39;00m\n\u001b[1;32m--> 653\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__simulate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 655\u001b[0m \u001b[38;5;66;03m# Initialize prints and plots objects\u001b[39;00m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprints \u001b[38;5;241m=\u001b[39m _FlightPrints(\u001b[38;5;28mself\u001b[39m)\n", + "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:817\u001b[0m, in \u001b[0;36mFlight.__simulate\u001b[1;34m(self, verbose)\u001b[0m\n\u001b[0;32m 814\u001b[0m \u001b[38;5;66;03m# Step through simulation\u001b[39;00m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 816\u001b[0m \u001b[38;5;66;03m# Execute solver step, log solution and function evaluations\u001b[39;00m\n\u001b[1;32m--> 817\u001b[0m \u001b[43mphase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 818\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msolution \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [[phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mt, \u001b[38;5;241m*\u001b[39mphase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39my]]\n\u001b[0;32m 819\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunction_evaluations\u001b[38;5;241m.\u001b[39mappend(phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mnfev)\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:181\u001b[0m, in \u001b[0;36mOdeSolver.step\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 179\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 180\u001b[0m t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mt\n\u001b[1;32m--> 181\u001b[0m success, message \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_step_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m success:\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfailed\u001b[39m\u001b[38;5;124m'\u001b[39m\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\lsoda.py:152\u001b[0m, in \u001b[0;36mLSODA._step_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 150\u001b[0m itask \u001b[38;5;241m=\u001b[39m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m 151\u001b[0m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5\u001b[39m\n\u001b[1;32m--> 152\u001b[0m solver\u001b[38;5;241m.\u001b[39m_y, solver\u001b[38;5;241m.\u001b[39mt \u001b[38;5;241m=\u001b[39m \u001b[43mintegrator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 153\u001b[0m \u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjac\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_y\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 154\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mt_bound\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mf_params\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjac_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 155\u001b[0m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m itask\n\u001b[0;32m 157\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m solver\u001b[38;5;241m.\u001b[39msuccessful():\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ode.py:1346\u001b[0m, in \u001b[0;36mlsoda.run\u001b[1;34m(self, f, jac, y0, t0, t1, f_params, jac_params)\u001b[0m\n\u001b[0;32m 1343\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39macquire_new_handle()\n\u001b[0;32m 1344\u001b[0m args \u001b[38;5;241m=\u001b[39m [f, y0, t0, t1] \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcall_args[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m+\u001b[39m \\\n\u001b[0;32m 1345\u001b[0m [jac, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m], f_params, \u001b[38;5;241m0\u001b[39m, jac_params]\n\u001b[1;32m-> 1346\u001b[0m y1, t, istate \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrunner\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1347\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mistate \u001b[38;5;241m=\u001b[39m istate\n\u001b[0;32m 1348\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m istate \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:138\u001b[0m, in \u001b[0;36mOdeSolver.__init__..fun\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 136\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(t, y):\n\u001b[0;32m 137\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnfev \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m--> 138\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun_single\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:20\u001b[0m, in \u001b[0;36mcheck_arguments..fun_wrapped\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun_wrapped\u001b[39m(t, y):\n\u001b[1;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39masarray(\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m, dtype\u001b[38;5;241m=\u001b[39mdtype)\n", + "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:1375\u001b[0m, in \u001b[0;36mFlight.udot_rail1\u001b[1;34m(self, t, u, post_processing)\u001b[0m\n\u001b[0;32m 1371\u001b[0m _, _, z, vx, vy, vz, e0, e1, e2, e3, _, _, _ \u001b[38;5;241m=\u001b[39m u\n\u001b[0;32m 1373\u001b[0m \u001b[38;5;66;03m# Retrieve important quantities\u001b[39;00m\n\u001b[0;32m 1374\u001b[0m \u001b[38;5;66;03m# Mass\u001b[39;00m\n\u001b[1;32m-> 1375\u001b[0m total_mass_at_t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtotal_mass\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_value_opt\u001b[49m(t)\n\u001b[0;32m 1377\u001b[0m \u001b[38;5;66;03m# Get freestream speed\u001b[39;00m\n\u001b[0;32m 1378\u001b[0m free_stream_speed \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 1379\u001b[0m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_x\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vx) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1380\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_y\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vy) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1381\u001b[0m \u001b[38;5;241m+\u001b[39m (vz) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1382\u001b[0m ) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m0.5\u001b[39m\n", + "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'get_value_opt'" + ] + } + ], + "source": [ + "# Plot Altitude\n", + "times = np.linspace(0, flight.apogee_time, 300)\n", + "altitudes = [flight.z(t) for t in times]\n", + "\n", + "plt.plot(times, altitudes)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Altitude (m)\")\n", + "plt.title(\"3 DOF Rocket Altitude vs Time\")\n", + "plt.grid(True)\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index 539b8b2cb..2484272a3 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -37,6 +37,8 @@ Parachute, RailButtons, Rocket, + BaseRocket, + PointMassRocket, Tail, TrapezoidalFins, ) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index 61665fa72..0c5ce229e 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -17,7 +17,9 @@ def __init__( propellant_final_mass=None, burn_time=None, center_of_dry_mass_position=0, + reshape_thrust_curve=False, interpolation_method="linear", + coordinate_system_orientation="nozzle_to_combustion_chamber", ): """Initialize the PointMassMotor class. @@ -50,20 +52,25 @@ def __init__( if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time]): raise ValueError("thrust_curve, propellant_initial_mass, and burn_time are required when a thrust value is given.") + self._propellant_initial_mass = propellant_initial_mass super().__init__( thrust_source=thrust_source, + dry_inertia=(0, 0, 0), + nozzle_radius=0, + center_of_dry_mass_position=center_of_dry_mass_position, dry_mass=dry_mass, - center_of_dry_mass_position=center_of_dry_mass_position, + nozzle_position=0, burn_time=burn_time, + reshape_thrust_curve=reshape_thrust_curve, interpolation_method=interpolation_method, - ) - + coordinate_system_orientation=coordinate_system_orientation, + ) @funcify_method("Time (s)", "Thrust (N)") def thrust(self): """Returns the thrust of the motor as a function of time.""" return self.thrust_source - @cached_property + @funcify_method("Time (s)", "Acceleration (m/s^2)") def total_mass(self): """Returns the constant total mass of the point mass motor.""" return self.dry_mass @@ -72,3 +79,34 @@ def total_mass(self): def acceleration(self): """Computes the acceleration of the motor as thrust divided by mass.""" return self.thrust() / self.total_mass + + @funcify_method("Time (s)", "Propellant Mass (kg)") + def center_of_propellant_mass(self): + return 0 + + @funcify_method("Time (s)", "Exhaust Velocity (m/s)") + def exhaust_velocity(self): + return 2000 # m/s, estimated value + + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_initial_mass(self): + return self._propellant_initial_mass + + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_I_11(self): + return 0 + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_I_12(self): + return 0 + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_I_13(self): + return 0 + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_I_22(self): + return 0 + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_I_23(self): + return 0 + @funcify_method("Time (s)", "Propellant Mass (kg)") + def propellant_I_33(self): + return 0 diff --git a/rocketpy/rocket/__init__.py b/rocketpy/rocket/__init__.py index 0687b5ee5..1ae442f4d 100644 --- a/rocketpy/rocket/__init__.py +++ b/rocketpy/rocket/__init__.py @@ -15,3 +15,5 @@ from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute from rocketpy.rocket.rocket import Rocket +from rocketpy.rocket.rocket import BaseRocket +from rocketpy.rocket.rocket import PointMassRocket \ No newline at end of file diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index c9a4f555f..4731928f7 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -36,11 +36,54 @@ def evaluate_total_mass(self): return self.mass + self.motor.total_mass return self.mass + class PointMassRocket(BaseRocket): - """Rocket modeled as a point mass for3-DOF simulations.""" + """Rocket modeled as a point mass for 3-DOF simulations.""" + total_mass = None, def __init__(self, mass, drag_coefficient=0): + super().__init__(mass) + self.parachutes = [] + self._controllers = [] + self.air_brakes = [] + self.sensors = Components() + self.aerodynamic_surfaces = Components() + self.surfaces_cp_to_cdm = {} + self.rail_buttons = Components() self.drag_coefficient = drag_coefficient + self.parachutes = [] + def add_parachute( + self, name, cd_s, trigger, sampling_rate=100, lag=0, noise=(0, 0, 0) + ): + parachute = Parachute(name, cd_s, trigger, sampling_rate, lag, noise) + self.parachutes.append(parachute) + self.total_mass= None, + self.evaluate_total_mass(), + + def evaluate_total_mass(self): + """Calculates and returns the rocket's total mass. The total + mass is defined as the sum of the motor mass with propellant and the + rocket mass without propellant. The function returns an object + of the Function class and is defined as a function of time. + + Returns + ------- + self.total_mass : Function + Function of time expressing the total mass of the rocket, + defined as the sum of the propellant mass and the rocket + mass without propellant. + """ + # Make sure there is a motor associated with the rocket + if self.motor is None: + print("Please associate this rocket with a motor!") + return False + + self.total_mass = self.mass + self.motor.total_mass + self.total_mass.set_outputs("Total Mass (Rocket + Motor + Propellant) (kg)") + self.total_mass.set_title("Total Mass (Rocket + Motor + Propellant)") + return self.total_mass + return self.parachutes[-1] + # pylint: disable=too-many-instance-attributes, too-many-public-methods, too-many-instance-attributes class Rocket: """Keeps rocket information. From 81ce8691208ab9d947be6b0a1c77a8b8fd935e54 Mon Sep 17 00:00:00 2001 From: aZira371 Date: Fri, 11 Apr 2025 20:43:17 +0100 Subject: [PATCH 06/56] MNT: Removing unnecessary files added by mistake. --- docs/examples/3_DOF_TRIAL.ipynb | 18 +- docs/examples/test_bella_lui_flight_sim.ipynb | 1552 ----------------- docs/examples/test_camoes_flight_sim.ipynb | 847 --------- 3 files changed, 4 insertions(+), 2413 deletions(-) delete mode 100644 docs/examples/test_bella_lui_flight_sim.ipynb delete mode 100644 docs/examples/test_camoes_flight_sim.ipynb diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb index c0da08c22..2107f3aa1 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -140,19 +140,9 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "wind_velocity_y = Function from R1 to R1 : (Height Above Sea Level (m)) → (Wind Velocity Y (m/s))\n", - "type: \n", - "has get_value_opt: True\n" - ] - } - ], + "outputs": [], "source": [ "def wrap_env_check(env):\n", " original_get_value_opt = env.wind_velocity_y.get_value_opt\n", @@ -167,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -177,7 +167,7 @@ "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[21], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Simulate Flight (3 DOF)\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m flight \u001b[38;5;241m=\u001b[39m \u001b[43mFlight\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43menvironment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mrail_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43minclination\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m85\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# degrees from horizontal\u001b[39;49;00m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mheading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m90\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# east\u001b[39;49;00m\n\u001b[0;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43msimulation_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m3 DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mterminate_on_apogee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTest3DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 12\u001b[0m \u001b[43m)\u001b[49m\n", + "Cell \u001b[1;32mIn[28], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Simulate Flight (3 DOF)\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m flight \u001b[38;5;241m=\u001b[39m \u001b[43mFlight\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43menvironment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mrail_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43minclination\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m85\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# degrees from horizontal\u001b[39;49;00m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mheading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m90\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# east\u001b[39;49;00m\n\u001b[0;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43msimulation_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m3 DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mterminate_on_apogee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTest3DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 12\u001b[0m \u001b[43m)\u001b[49m\n", "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:653\u001b[0m, in \u001b[0;36mFlight.__init__\u001b[1;34m(self, rocket, environment, rail_length, inclination, heading, initial_solution, terminate_on_apogee, max_time, max_time_step, min_time_step, rtol, atol, time_overshoot, verbose, name, equations_of_motion, simulation_mode, ode_solver)\u001b[0m\n\u001b[0;32m 650\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mflight_phases\u001b[38;5;241m.\u001b[39madd_phase(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_time)\n\u001b[0;32m 652\u001b[0m \u001b[38;5;66;03m# Simulate flight\u001b[39;00m\n\u001b[1;32m--> 653\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__simulate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 655\u001b[0m \u001b[38;5;66;03m# Initialize prints and plots objects\u001b[39;00m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprints \u001b[38;5;241m=\u001b[39m _FlightPrints(\u001b[38;5;28mself\u001b[39m)\n", "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:817\u001b[0m, in \u001b[0;36mFlight.__simulate\u001b[1;34m(self, verbose)\u001b[0m\n\u001b[0;32m 814\u001b[0m \u001b[38;5;66;03m# Step through simulation\u001b[39;00m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 816\u001b[0m \u001b[38;5;66;03m# Execute solver step, log solution and function evaluations\u001b[39;00m\n\u001b[1;32m--> 817\u001b[0m \u001b[43mphase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 818\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msolution \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [[phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mt, \u001b[38;5;241m*\u001b[39mphase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39my]]\n\u001b[0;32m 819\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunction_evaluations\u001b[38;5;241m.\u001b[39mappend(phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mnfev)\n", "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:181\u001b[0m, in \u001b[0;36mOdeSolver.step\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 179\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 180\u001b[0m t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mt\n\u001b[1;32m--> 181\u001b[0m success, message \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_step_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m success:\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfailed\u001b[39m\u001b[38;5;124m'\u001b[39m\n", diff --git a/docs/examples/test_bella_lui_flight_sim.ipynb b/docs/examples/test_bella_lui_flight_sim.ipynb deleted file mode 100644 index e8a5b2ffb..000000000 --- a/docs/examples/test_bella_lui_flight_sim.ipynb +++ /dev/null @@ -1,1552 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Bella Lui - EPFL - 2020\n", - "\n", - "Bella Lui Kaltbrunn Mission from ERT (EPFL Rocket Team)\n", - "Permission to use flight data given by Antoine Scardigli, 2020\n" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [], - "source": [ - "# Importing libraries\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "from scipy.signal import savgol_filter\n", - "\n", - "from rocketpy import Environment, Flight, Function, Rocket, SolidMotor" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "ename": "OSError", - "evalue": "'seaborn-v0_8-dark-palette' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:127\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m rc \u001b[38;5;241m=\u001b[39m \u001b[43mrc_params_from_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstyle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_default_template\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:852\u001b[0m, in \u001b[0;36mrc_params_from_file\u001b[1;34m(fname, fail_on_error, use_default_template)\u001b[0m\n\u001b[0;32m 838\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 839\u001b[0m \u001b[38;5;124;03mConstruct a `RcParams` from file *fname*.\u001b[39;00m\n\u001b[0;32m 840\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 850\u001b[0m \u001b[38;5;124;03m parameters specified in the file. (Useful for updating dicts.)\u001b[39;00m\n\u001b[0;32m 851\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 852\u001b[0m config_from_file \u001b[38;5;241m=\u001b[39m \u001b[43m_rc_params_in_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfail_on_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfail_on_error\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 854\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m use_default_template:\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:778\u001b[0m, in \u001b[0;36m_rc_params_in_file\u001b[1;34m(fname, transform, fail_on_error)\u001b[0m\n\u001b[0;32m 777\u001b[0m rc_temp \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m--> 778\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _open_file_or_url(fname) \u001b[38;5;28;01mas\u001b[39;00m fd:\n\u001b[0;32m 779\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\contextlib.py:117\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 117\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:755\u001b[0m, in \u001b[0;36m_open_file_or_url\u001b[1;34m(fname)\u001b[0m\n\u001b[0;32m 754\u001b[0m encoding \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 755\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 756\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m f\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'seaborn-v0_8-dark-palette'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[48], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstyle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43muse\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseaborn-v0_8-dark-palette\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:130\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m--> 130\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[0;32m 131\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m not found in the style library and input is not a \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 132\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalid URL or path; see `style.available` for list of \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mavailable styles\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(style)) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n", - "\u001b[1;31mOSError\u001b[0m: 'seaborn-v0_8-dark-palette' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles" - ] - } - ], - "source": [ - "plt.style.use(\"seaborn-v0_8-dark-palette\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## RocketPy Simulation\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Define a dictionary with the inputs for the simulation\n" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [], - "source": [ - "parameters = {\n", - " # Mass Details\n", - " \"rocket_mass\": (18.227 - 0.001, 0.010), # propellant mass = 1.373\n", - " # propulsion details\n", - " \"impulse\": (2157, 0.03 * 2157),\n", - " \"burn_time\": (2.43, 0.1),\n", - " \"nozzle_radius\": (44.45 / 1000, 0.001),\n", - " \"throat_radius\": (21.4376 / 1000, 0.001),\n", - " \"grain_separation\": (3 / 1000, 1 / 1000),\n", - " \"grain_density\": (782.4, 30),\n", - " \"grain_outer_radius\": (85.598 / 2000, 0.001),\n", - " \"grain_initial_inner_radius\": (33.147 / 1000, 0.002),\n", - " \"grain_initial_height\": (152.4 / 1000, 0.001),\n", - " # Aerodynamic Details\n", - " \"inertia_i\": (0.78267, 0.03 * 0.78267),\n", - " \"inertia_z\": (0.064244, 0.03 * 0.064244),\n", - " \"radius\": (156 / 2000, 0.001),\n", - " \"distance_rocket_nozzle\": (-1.1356, 0.100),\n", - " \"distance_rocket_propellant\": (-1, 0.100),\n", - " \"power_off_drag\": (1, 0.05),\n", - " \"power_on_drag\": (1, 0.05),\n", - " \"nose_length\": (0.242, 0.001),\n", - " \"nose_distance_to_cm\": (1.3, 0.100),\n", - " \"fin_span\": (0.200, 0.001),\n", - " \"fin_root_chord\": (0.280, 0.001),\n", - " \"fin_tip_chord\": (0.125, 0.001),\n", - " \"fin_distance_to_cm\": (-0.75, 0.100),\n", - " \"tail_top_radius\": (156 / 2000, 0.001),\n", - " \"tail_bottom_radius\": (135 / 2000, 0.001),\n", - " \"tail_length\": (0.050, 0.001),\n", - " \"tail_distance_to_cm\": (-1.0856, 0.001),\n", - " # Launch and Environment Details\n", - " \"wind_direction\": (0, 5),\n", - " \"wind_speed\": (1, 0.05),\n", - " \"inclination\": (89, 1),\n", - " \"heading\": (45, 5),\n", - " \"rail_length\": (4.2, 0.001),\n", - " # Parachute Details\n", - " \"CdS_drogue\": (np.pi / 4, 0.20 * np.pi / 4),\n", - " \"lag_rec\": (1, 0.020),\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Environment\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Define the `Environment` object\n" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [], - "source": [ - "# Environment conditions\n", - "env = Environment(\n", - " gravity=9.81,\n", - " latitude=47.213476,\n", - " longitude=9.003336,\n", - " date=(2020, 2, 22, 13),\n", - " elevation=407,\n", - ")\n", - "\n", - "env.set_atmospheric_model(\n", - " type=\"Reanalysis\",\n", - " file=\"../../data/weather/bella_lui_weather_data_ERA5.nc\",\n", - " dictionary=\"ECMWF\",\n", - ")\n", - "\n", - "env.max_expected_height = 1000" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Visualize the `Environment` object\n" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Gravity Details\n", - "\n", - "Acceleration of gravity at surface level: 9.8100 m/s²\n", - "Acceleration of gravity at 1.000 km (ASL): 9.8100 m/s²\n", - "\n", - "\n", - "Launch Site Details\n", - "\n", - "Launch Date: 2020-02-22 13:00:00 UTC\n", - "Launch Site Latitude: 47.21348°\n", - "Launch Site Longitude: 9.00334°\n", - "Reference Datum: SIRGAS2000\n", - "Launch Site UTM coordinates: 500252.61 E 5228887.37 N\n", - "Launch Site UTM zone: 32T\n", - "Launch Site Surface Elevation: 407.0 m\n", - "\n", - "\n", - "Atmospheric Model Details\n", - "\n", - "Atmospheric Model Type: Reanalysis\n", - "Reanalysis Maximum Height: 1.000 km\n", - "Reanalysis Time Period: from 2020-02-22 00:00:00 to 2020-02-22 18:00:00 utc\n", - "Reanalysis Hour Interval: 4 hrs\n", - "Reanalysis Latitude Range: From 48.0° to 46.0°\n", - "Reanalysis Longitude Range: From 8.0° to 10.0°\n", - "\n", - "Surface Atmospheric Conditions\n", - "\n", - "Surface Wind Speed: 1.26 m/s\n", - "Surface Wind Direction: 213.21°\n", - "Surface Wind Heading: 33.21°\n", - "Surface Pressure: 980.43 hPa\n", - "Surface Temperature: 286.63 K\n", - "Surface Air Density: 1.192 kg/m³\n", - "Surface Speed of Sound: 339.39 m/s\n", - "\n", - "\n", - "Earth Model Details\n", - "\n", - "Earth Radius at Launch site: 6366.66 km\n", - "Semi-major Axis: 6378.14 km\n", - "Semi-minor Axis: 6356.75 km\n", - "Flattening: 0.0034\n", - "\n", - "\n", - "Atmospheric Model Plots\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "env.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Motor\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Define the `SolidMotor` object\n" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [], - "source": [ - "k828fj = SolidMotor(\n", - " thrust_source=\"../../data/motors/aerotech/AeroTech_K828FJ.eng\",\n", - " burn_time=parameters.get(\"burn_time\")[0],\n", - " dry_mass=0.001,\n", - " dry_inertia=(0, 0, 0),\n", - " center_of_dry_mass_position=0.3,\n", - " grains_center_of_mass_position=0.3,\n", - " grain_number=3,\n", - " grain_separation=parameters.get(\"grain_separation\")[0],\n", - " grain_density=parameters.get(\"grain_density\")[0],\n", - " grain_outer_radius=parameters.get(\"grain_outer_radius\")[0],\n", - " grain_initial_inner_radius=parameters.get(\"grain_initial_inner_radius\")[0],\n", - " grain_initial_height=parameters.get(\"grain_initial_height\")[0],\n", - " nozzle_radius=parameters.get(\"nozzle_radius\")[0],\n", - " throat_radius=parameters.get(\"throat_radius\")[0],\n", - " interpolation_method=\"linear\",\n", - " nozzle_position=0,\n", - " coordinate_system_orientation=\"nozzle_to_combustion_chamber\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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QIURERNC+fXuaNWvG2bNnWbRoEVWqVHnk7Dsq9Ho9/fr148MPP2TLli00adKEmTNn8uqrr1K7dm06d+5MYGAg165dY9euXXh6erJixQqrNi5evEjnzp1p3Lgx+/fv57vvvqN9+/ZUrFjxkev/8MMP2bVrF02bNuW1116jbNmy3L17lyNHjhAZGWk5YtSuXTv8/f2pUaMGhQsX5vTp0yxcuNDqHJOstmWLsLAw1qxZw4gRI6hSpQoeHh68+OKLvPDCC/z000+89tprPP/881y6dIkvv/ySsmXLWv2Oubm5UbZsWdauXUupUqXw9vbmmWeeSXcKYnv/HQghhMhdpGgQIgPjxo3jhx9+YPPmzZaToYsVK0bv3r15++23ra4NMHPmTIKDg1mxYgU///wz/v7+DB06lOHDh9u83iZNmvDll18yYcIExo8fT0hICLNnz2b9+vVWF1Gzt2eeeYaff/6ZcePGMWPGDEwmE1WrVuWzzz6jWrVqluWKFCnC1KlTmTFjBoMHD8ZoNPLjjz9SuHBh3nvvPfz8/FiwYAEjRoygUKFCdO/enVGjRllNU2tP3bt3Z+rUqcycOZMmTZpQt25dNm7cyMcff8zChQt58OAB/v7+VK1aNd3pXRctWsSkSZMYO3YsTk5O9OnTh7Fjx2Zp3f7+/mzZsoWPP/6Yn376iS+++AIfHx/KlSvHhx9+aNXHVatWMXfuXB48eMBTTz1F3759efvtt21uyxa9e/fm6NGjLF++nHnz5lG8eHFefPFFOnfuTFRUFIsXL2bbtm2ULVuWzz//nB9++CHN79jMmTN57733GDFiBAaDgeHDh2d43RJ7/h0IIYTIXTS3b9+Ws86EEPlOyoXozpw5Yzm5WgghhBDpk3MahBBCCCGEEJmSokEIIYQQQgiRKSkahBBCCCGEEJmScxqEEEIIIYQQmZIjDUIIIYQQQohMSdEghBBCCCGEyJRcp8EOTCYT165do0CBAmg0Gkd3RwghhMg1zGYz9+/fJzAw0HI1ciFE3iNFgx1cu3aN0NBQR3dDCCGEyLX+/PNPihYt6uhuCCEUSdFgBwUKFADg8uXLFCxY8LHbi4uLA8DNze2x28pPJDc1kpsayU2N5KYmL+cWExND8eLFLZ+VQoi8SYoGO0gZklSwYEG7FA0uLi5W/xdZI7mpkdzUSG5qJDc1T0JuMnxXiLxNioZcyGQyOboLeZLkpkZyUyO5qZHc1EhuQghHk6IhFzKb5dIZKiQ3NZKbGslNjeSmRnITQjiaFA25kE6nc3QX8iTJTY3kpkZyUyO5qZHchBCOJkVDLiR7lNRIbmokNzWSmxrJTY3k9nhMJhNJSUmO7oYQuY6Tk1OWp0KWoiEXMhqNju5CniS5qZHc1EhuaiQ3NZKbGrPZzN27d4mNjZUTsYVIh9lsxt3dHW9v70f+jUjRkAs5OcnLokJyUyO5qZHc1EhuaiQ3NXfv3iUuLg5/f3/c3NykcBAiFbPZTFxcHDdu3ACgUKFCmS4v70JCCCGEeOKYTCZiY2Px9/fHx8fH0d0RIldKufZLVFQUXl5emQ5Vkuu550KJiYkkJiY6uht5juSmRnJTI7mpkdzUSG62S0pKQqPR5MkL4gmRk1KOwj3qvB850pAL6fV6R3chT5Lc1EhuaiQ3NZKbGslNnQxJEiJzWf0bkSMNQgghhBBCiEzJkYZcKOUQtIuLi4N7krdIbmokNzWSmxrJTY3kZj+XLl3i5s2bObY+Pz8/goKCcmx9j0uv17Nq1SpefvnlHF1v48aNCQsLY9q0aTm63vSMGzeOH374gYMHD+b4unv16kV0dDTff/99jq/7UaRoyIXkMLQayU2N5KZGclMjuamR3Ozj0qVLVKxYkbi4uBxbp5ubG0ePHrWpcLh+/TqTJk1i/fr1/P333/j7+xMWFsbgwYNp1KhRNvY2+0VGRtKkSRNu3LiBt7e35f6VK1fm2O/56tWrmTNnDocPH8ZoNFKiRAnatWvHgAED5KT5TEjRIIQQQoh84ebNm8TFxdGiQy98/QOzfX23oq7x07dfcPPmzSwXDRcuXCA8PBxvb28mT55MxYoVSUxMZNOmTQwePJijR49mc68dI6e+rI8aNYqPP/6Yt956i/Hjx/PUU09x9uxZ5s+fz7Jlyxg8eHCO9CMnmc1mjEbjY0/dLOc05EJJSUly5UoFkpsayU2N5KZGclMjudmXr38gAUWDsv2fSmHy5ptvotFo2L17N23btqVMmTJUqFCBoUOHsmvXLstyly5dom3btnh7e+Pj40OnTp34559/LI+PGzeOqlWr8uWXX1KyZEm8vb0ZNGgQRqORTz75hGLFivHUU08xadKkNH24du0aLVq0wNPTkzJlylgNlYmMjESv13P37l3LfYcPH0av13PhwgUALl68SOvWrSlcuDBeXl6EhYWxfv16Lly4QJMmTQAoXLgwer2eXr16AcnDk4YNG2Zp886dO/To0YPChQtTsGBBWrRowZkzZyyPL1myBD8/PzZt2kRoaCje3t40b96ca9euZZjtvn37mDx5MhEREUyZMoXatWsTEhJCkyZN+O677+jWrZvV8suWLaNUqVL4+vrSpUsX7t27Z3ls48aNhIeH4+fnR5EiRXj55Zc5d+6c5fELFy6g1+tZuXIlDRo0wNPTk5o1a3L69Gn2799PjRo18Pb2pkWLFpbrJKQ2fvx4AgMD8fHxYcCAARgMBstjJpOJKVOmULp0aTw9PalSpUq6r9GGDRuoXr06Hh4e/PrrrxnmklVSNORCTk5OciEfBZKbGslNjeSmRnJTI7nlD7dv32bjxo30798fDw+PNI+nDOcxmUy0bduW27dvs3XrVtavX8/58+fp3Lmz1fLnz59n48aN/PTTTyxbtowvv/ySVq1aceXKFbZu3crEiRMZPXo0e/futXremDFjaNOmDQcPHqRTp0506dKFEydOZHk7Bg8eTEJCAtu2beP3339n4sSJFChQgOLFi/Pdd98BcOzYMS5fvsz06dPTbaN3794cOnSINWvW8Msvv2A2m2nVqpXV1MOxsbFMmzaNL7/8km3btnH58mWGDx+eYb9WrFhBgQIF6N+/f7qPpx4udf78eX788UfWrl3LDz/8wM6dO4mIiLA8/uDBA4YMGcKePXvYuHEjWq2W9u3bYzKZrNocN24cH3zwAfv27cPJyYnXXnuN999/n2nTprF9+3bOnTvHmDFjrJ6zbds2Tp48yZYtW1i2bBlr165l/PjxlsenTJnCsmXLmDNnDkeOHOGtt96ie/fu7Ny506qdDz74gIkTJ/Lnn38SGhqaYS5ZJe9AQgghhBC5wNmzZzGbzZQtWzbT5bZt28bRo0c5c+YMxYsXB+DLL78kLCyM/fv389xzzwHJxcWCBQvw9PSkfPnyNGjQgNOnT7Nu3Tq0Wi1ly5blk08+ITIykho1aljab9euHb179wZg7NixbNmyhTlz5jB79uwsbUfKUZCUL6olS5a0PJYyDMnf39/qS3pqZ86cYd26dURGRlK7dm0Ali5dSokSJfjhhx9o3749kDxBwJw5c3j66acB6N+/PxMmTMiwX2fPnqVEiRJZOnfCZDKxaNEiPD09AejSpQvbtm2zfHlv27at1fILFiwgMDCQ48ePU7FiRcv9Q4cOpWnTpkDyUaSuXbuyadMm6tSpA0DPnj1ZunSpVVvOzs4sWLAAd3d3KlSowIcffsh7773H2LFjSUxMZPLkyWzYsIFatWoByfn++uuvLFiwgPr161vaGTNmjOXIjj1I0ZALpRyCllkybCO5qZHc1EhuaiQ3NZJb/mA2m7O03IkTJyhevLilYAAoX7483t7enDx50lI0hISEWL70QvIXdZ1OZ3XVX39/f6Kioqzar1mzZpqfjxw5kuXtGDRoEIMGDWLz5s00btyYNm3a8Oyzz2b5+SdPnsTJycmqkPH19aVMmTKcPHnScp+7u7ulYAAIDAxMsy2pZTVfSJtdQECA1TCiM2fOMHbsWPbt28fNmzctRxguX75sVTSk3sNfpEgRAKvH08v/2Wefxd3d3fJzzZo1uX//PpcvX+b+/fvExsbSrFkzq+cYDAYqVapkdV/VqlWzvL1ZIUVDLqTT6RzdhTxJclMjuamR3NRIbmokt/yhdOnSaDQaTp06ZZf2Hh7SptFo0uxl12g0aYbUZCal4Ej9Bfzhq5X37t2bpk2b8r///Y8tW7YwZcoUIiIiGDRokK2bkKn0tiWzwqB06dL8+uuvJCYmPvJoQ3rZpc6pTZs2BAUF8dlnnxEYGIjJZKJSpUpW5x483MeUi6g9fJ8t+d+/fx+AH3/8kaeeesrqsYd3KqQ3xO1xyDkNuZBGo5ErWCqQ3NRIbmokNzWSmxrJLX/w8fGhadOmzJs3jwcPHqR5POXk42eeeYbLly9z+fJly2PHjx/n7t27PPPMM4/dj4fPcdi7dy/lypUDkq87AVidcJzeUYjixYvTr18/Vq5cydChQ1m0aBHw3xdmo9GY4frLlStHUlKSVT9u3brF6dOnH2v7OnbsyP3795k3b166j6c+uTszt27d4tSpU3zwwQc0atSIZ555hjt37ij362F//PGH1bTAe/futZwTUr58eVxcXLh06RKlSpWy+pf6yFN2kKIhFzIajZn+MYn0SW5qJDc1kpsayU2N5JZ/fPrppxiNRmrXrs3q1as5c+YMJ06cYNasWdSrVw9InmmoYsWKdOvWjUOHDrFv3z569uxJ/fr1qVat2mP34fvvv+fLL7/k9OnTjB07lv379zNgwAAAy5fT8ePHc+bMGf73v/8xY8YMq+cPGzaMTZs28ddff3Ho0CF27Nhh+bIfHByMRqPh559/5saNG5Y956mVLl2aVq1a0b9/f3bt2sWRI0fo3r07RYsWpVWrVsrbVaNGDf7v//6P4cOH89577/Hbb79x8eJFtm3bRseOHdOcW5CRQoUK4evry4IFCzh79izbt2/nnXfeUe7XwwwGA3379uX48eOsX7+ecePGMWDAALRaLZ6engwbNoz/+7//Y+nSpZw7d45Dhw4xe/bsLPdflQxPyoVkb5IayU2N5KZGclMjuamR3OzrVlTG03I6ej0lS5Zk3759TJo0ieHDh3Pt2jUKFy5MlSpVLCciazQaVq9ezZAhQ2jUqBFarZYXXnghzZd3VaNHj+a7777jzTffJDAwkGXLllG+fHkg+UjBV199xaBBg6hSpQrVqlVj7NixdOzY0fJ8o9HI4MGDuXLlCgULFqRp06ZMnToVgKJFi/Lhhx8yYsQIXn/9dbp27coXX3yRpg8LFy5k6NChtG7dGoPBQL169fjxxx8f+wJwkyZNokqVKsybN4/58+djMpkoWbIk7dq1SzPlaka0Wi1ff/01Q4cOpVKlSpQpU4YZM2bQuHHjx+pbikaNGlGqVCkaNWpEQkICHTp0YPTo0ZbHx44di5+fHxEREZw/fx5vb28qV67Me++9Z5f1Z0Rz+/btrJ8VItIVExNDSEgI0dHRFCxY8LHbS0hIAOSEN1tJbmokNzWSmxrJTU1ezi0mJgYvLy8uXLhgl8/IrDIYDNy8eZPg4GBcXV2BvHNFaCFyUnx8PBcvXsTPzw9nZ+cMl5MjDbmQLSfEiP9IbmokNzWSmxrJTY3kZh9BQUEcPXqUmzdv5tg6/fz8pGAQTwQpGoQQQgiRbwQFBcmXeCEUSNGQC6WeP1lkneSmRnJTI7mpkdzUSG5CCEeToiEXksPQaiQ3NZKbGslNjeSmRnITQjiaFA25kC1XLBT/kdzUSG5qJDc1kpsayU0I4WhSNORCcuVPNZKbGslNjeSmRnJTI7kJIRwtzw2SXLhwIWFhYQQGBtKkSRMOHjyY4bInTpygW7duhIWF4ePjk+EVAG1pMyeYzWbZq6RAclMjuamR3NRIbmokNyGEo+WpomH16tWMHDmS4cOHs337dipWrEj79u25ceNGusvHxcUREhLC6NGjKVKkiF3azAly5U81kpsayU2N5KZGclMjuQkhHC1PFQ1z586lW7dudOnShXLlyjFt2jTc3d35+uuv012+SpUqjBs3jnbt2mV4sQpb28wJTk5OODnJyDFbSW5qJDc1kpsayU2N5CaEcLQ88w5kMBg4cuQIQ4cOtdyn1WoJDw9n//79OdpmQkKC5eqcAPfu3bO6PzEx0XKZ86SkJHQ6HRqNBqPRiEajQavVWmbCSO92QkICOp0Os9mM0Wi0fFCkbvfhdaQsk9X1mc3mdNeRuq3M1mfrNmW0PntuU0a55eVtyonXKSW3J2mbcuJ1MhgMT9w25cTrlDq3J2WbcuJ1SkxMzLPblPrzMjeIjr5EbGzOXdzN3d0PL6/cdV2IXr16ER0dzffff+/orog8JM8UDbdu3cJoNFK4cGGr+wsXLszp06dztM3p06cTERGhtM6sSEpKwmw2W950RdYYjUbJTUFKbrIX0zZJSUlotVrJzUaSmxrJzT6ioy/x+ecVSUyMy7F16vVu9Ot31ObC4fr160yZMoX169dz5coVvLy8ePrpp+ncuTPdunXD3d1duU/Tp0+Xc2SEzeTdR8HQoUMZMGCA5ed79+4RGhqKi4uL5V+K1LezKuUiPg8/N6N2H3d9Ob2O7FqfI3PL6fXlRG7ZtT5HrsOe68stueX0+nIiN3uuL7es43HXlzJ7Um7KLavry03nYsTG3iQxMY4XG3bGp5B/tq/v9p0oNmxfTmzsTZuKhvPnzxMeHo63tzfjx4+nYsWKuLi4cPToURYuXEjRokVp2bJlmuelPsqTGS8vL5u2QwjIQ0WDr68vOp0uzQnKN27cyPAk5+xq8+HCQAghhBB5h08hf/z9ijm6Gxl68803cXJyYs+ePXh4eFjuL1myJK1atbIcJdDr9cyaNYuNGzeybds23n77bUaMGMEbb7zBjh07uH79OkFBQfTr14/Bgwdb2nl4eFLjxo0JDQ3F1dWVL774AmdnZ/r27cvo0aOB5Nm7xo8fz+LFi/nnn3/w9fWlbdu2zJgxI+dCEQ6XZ06EdnZ2JiwsjJ07d1ruM5lMREZG8txzz+WaNu0hMTGRxMREh60/r5Lc1EhuaiQ3NZKbGskt/7h16xabN2+mf//+VgVDahqNxnJ7/PjxvPzyy/z+++/06NEDk8lEsWLFWLFiBX/88QcjRoxg1KhRrFy5MtP1fvXVV3h4ePDrr78yadIkPvroI7Zs2QIkzzQ5c+ZM5s6dy4kTJ1i1ahUVK1a030aLPCHPHGkAGDBgAAMHDqRSpUpUqVKFzz77jNjYWDp37gxA//79CQwMtFTGBoOBU6dOAclvuNeuXePPP//Ew8ODkiVLZqlNR5Ax+WokNzWSmxrJTY3kpkZyyz/Onj2L2WymTJkyVvcHBAQQHx8PJH/fmTRpEgAdO3akR48eVst++OGHltslSpRgz549rFq1ildeeSXD9YaGhjJq1CgASpcuzdy5c9m2bRtNmjTh0qVLBAQE0LhxY/R6PUFBQVSvXt0emyvykDxVNLRt25Zbt24xadIkoqKiqFixIitXrsTfP3lc4pUrVyzjZSH5JKLw8HDLz7Nnz2b27NnUqVOHdevWZalNIYQQQghH2717NyaTiW7dulnNSFW1atU0y86dO5fFixdz+fJl4uLiMBgMhIWFZdp+aGio1c+BgYFERUUB0L59e2bNmkWZMmVo2rQpzZo1o0WLFnJifj6T517tPn360KdPn3QfSykEUgQFBXH79u3HatMRUg5By3kTtpHc1EhuaiQ3NZKbGskt/yhVqhQajSbNLI4pIyTc3Nys7n94CNO3337Lu+++S0REBDVr1sTT05OpU6eyb9++TNf78NEsjUZjmXK3ePHiHDt2jK1bt7JlyxbefPNNpk6dyrZt2+QoWD6SZ85pyE/0er38ESqQ3NRIbmokNzWSmxrJLf/w9fWlSZMmzJ07lwcPHtj8/N27d1OrVi369+9P5cqVKVWqFOfPn3/sfrm5udGiRQtmzJjBli1b2LNnD3/++edjtyvyjjx3pEEIIYQQ4kk2a9YswsPDqVmzJqNGjSI0NBStVsuBAwc4deoUVapUyfC5pUqVYtmyZWzatImQkBC+/vprDhw4QEhIiHJ/lixZgtFopHr16ri7u7N8+XLc3NwIDg5WblPkPVI05EJJSUmAHIa2leSmRnJTI7mpkdzUSG72dftOVK5ez9NPP83+/fuZPHkyI0eO5MqVK7i4uPDMM88wbNgw3njjjQyf27dvXw4fPkznzp3RaDR06NCBN954gw0bNqhuBt7e3kRERPDOO+9gNBqpWLEia9euxdfXV7lNkfdobt++LZcEfEwxMTGEhIQQHR1NwYIFH7u9lNkRXF1dH7ut/ERyUyO5qZHc1EhuavJybjExMXh5eXHhwgW7fEZmlcFg4ObNmwQHB1tyy0tXhBYip8THx3Px4kX8/PxwdnbOcDk50pALpZ5/WWSd5KZGclMjuamR3NRIbvbh5RVEv35HiY29mWPrdHf3k4JBPBGkaMiFjEajo7uQJ0luaiQ3NZKbGslNjeRmP15eQfIlXggFUjTkQrJHSY3kpkZyUyO5qZHc1EhuQghHk6IhF0p9gTqRdZKbGslNjeSmRnJTI7kJIRxNioZcKOViKsI2kpsayU2N5KZGclMjuQkhHE12XQghhBBCCCEyJUcaciE5DK1GclMjuamR3NRIbmokNyGEo0nRkAvJYWg1kpsayU2N5KZGclMjuQkhHE12XQghhBBCCCEyJUcaciE5DK1GclMjuamR3NRIbmokN/u5dOkSN2/m3MXd/Pz8CArKW9eFuHDhAqVLl2b//v1UqlTJ0d0RuYQUDbmQHIZWI7mpkdzUSG5qJDc1kpt9XLp0iQoVKhAfH59j63R1deXYsWM2FQ69evXiq6++YsKECQwfPtxy/w8//ED79u1JTEzMjq4KkSnZdZELmc1mzGazo7uR50huaiQ3NZKbGslNjeRmHzdv3szRggEgPj5e6ciGq6srH3/8MXfu3MmGXglhOykaciGdTodOp3N0N/IcyU2N5KZGclMjuamR3PKfxo0bExAQwJQpUzJcZvXq1YSFheHh4UGpUqWYPn265bHIyEj0en2af7169QKgVKlS6T6ekaNHj9KiRQu8vb0pWrQo3bt3z9FhXsLxpGjIhWSPkhrJTY3kpkZyUyO5qZHc8h+dTsf48eOZM2cOV65cSfP4wYMH6dSpE6+++iq///47o0aN4sMPP2TJkiUA1KpVi8uXL1v+bd68GVdXV+rVqwfAb7/9ZnnswoUL1KhRg7p166bbl7t379K0aVMqVarEnj17+Omnn4iKiqJTp07ZF4DIdeSchlzIaDQ6ugt5kuSmRnJTI7mpkdzUSG75U+vWrQkLC2Ps2LEsWLDA6rEZM2bQqFEjRowYAUCZMmU4ceIE06ZNo3v37jg7OxMQEADArVu36NevHz169KBnz54AFC5c2NLW0KFDuX79Or/99lu6/Zg7dy6VKlXio48+sty3YMECSpQowenTpylTpoxdt1vkTnKkIRdycnLCyUnqOVtJbmokNzWSmxrJTY3kln9NmjSJr776ihMnTljdf/LkSWrXrm11X+3atTlz5oxVkZmYmMirr75KUFCQ1fClFAsWLODLL79k9erVVoVEan/88Qc7duzA29vb8q9ixYoAnD9//nE3UeQR8g4khBBCCJFL1atXj6ZNmzJy5Ei6detm8/MHDhzIlStX2L17d5rCc8eOHQwZMoRly5bx7LPPZtjG/fv3adGiBRMnTkzzWGBgoM19EnmTFA25UMpUai4uLg7uSd4iuamR3NRIbmokNzWSW/42YcIEqlWrZjUMqFy5cuzevdtqud27d1OmTBnLSfPTp09n1apV7Ny5E19fX6tlz549S4cOHXjvvfdo06ZNpuuvXLkya9asISQkRI545WMyPCkXetQMBiJ9kpsayU2N5KZGclMjueVvoaGhdOrUidmzZ1vuGzp0KNu2bWPChAmcPn2apUuXMnfuXIYOHQrA1q1bef/995k8eTJ+fn5cv36d69evEx0dTVxcHG3atKFSpUq8/vrrlseuX7+e7vr79+/P7du36dq1K/v37+fcuXNs2rSJ3r17y/k2+YgUDUIIIYQQudyYMWOsLvJXpUoVVqxYwXfffUelSpUYO3YsY8aMoXv37gD8+uuvGI1GBg4cSPHixS3/hg4dyj///MPJkyfZtm0bQUFBVo+n56mnniIyMhKj0chLL71E5cqVefvtt/H29parlecjmtu3b8scbo8pJiaGkJAQoqOjKViw4GO3d//+fQAKFCjw2G3lJ5KbGslNjeSmRnJTk5dzi4mJwcvLiwsXLtjlMzKrDAYDN2/eJDg4GFdXVyDvXBFaiJwUHx/PxYsX8fPzw9nZOcPlZGBaLiSHoNVIbmokNzWSmxrJTY3kZh9BQUEcO3YsRy9K5ufnJwWDeCJI0SCEEEKIfCMoKEi+xAuhQIqGXCgpKQl48mbJuHTpUrbu3UnJTWZ2sI3kpkZyUyO5qcnJ3GTPuBAiPXnuXXvhwoXMmjWLqKgoKlSowJQpU6hatWqGy69du5ZJkyZx6dIlSpYsyZgxY3j++ectjw8cOJAVK1ZYPadRo0asWrUq27bhUZycnDh16hRGoxEXFxfi4uKA5HGRSUlJlg8PNzc3y2NarTbNskaj0TJNX2bLuri4YDabMRgMlmXj4+Mxm81oNBpcXV0tyzo7O6PRaEhISHjksnq9Hp1OR3x8PNevX6d9+/bZOo7Uy8sLgOjo6Gxbx5NIclMjuamR3NTkZG6urq6cOnVKCgchhJU8VTSsXr2akSNHMnXqVKpWrcpnn31G+/bt2bdvX7pXMdy7dy99+vRh1KhRvPDCC6xatYquXbuyfft2ypcvb1mucePGVtOY5YY9/PHx8fj5+QFYTuBKz8OPPc6yHh4eWV7W3d09y8u6ubnx999/Ex8fT4sOvfD1z54LwTjrk3+dDYlJ2dL+k0pyUyO5qZHc1ORUbreirvHTt19w8+ZNKRqEEFbyVNEwd+5cunXrRpcuXQCYNm0amzdv5uuvv2bIkCFplv/8889p3LgxgwcPBmDEiBHs2LGDhQsXMm3aNMtyLi4uFClSJEe2ISuSkpJyReGSHXz9Awkomj0fRC765GnfEhJNj1hSpCa5qZHc1EhuaiQ3IYSj5ZmiwWAwcOTIEctFSyB5mE14eDj79+9P9zn79+9nwIABVvc1atSI//3vf1b37dq1izJlyuDt7U29evUYMWIEPj4+GfYlISHBMjwH4N69e1b3JyYmWma6SEpKQqfTodFoMBqNaDQatFqtZa7l9G4bDAZiY2NxdXXFbDZb5kA2Go2WqzxmdNtkMqHRaNBoNFa3zebkmXVTbqe0m/r2467j4fU9vI6CBQvi4uyEi16H8d9tdtJqSUrntk6rtSyj02owmcCMGa1Gk9wHc9rbTlotJpMZvU6LVgtGkzlNW5mtz2QyW9ZhhuT+Z7A+jUaDJuU2GrRaTbZsE1bryJ5t0mm1mE1m9E7aJ2abcuJ1SsnN2Un7xGxTTrxOOk3ye4JVbnl8m3LidUovt+zYJme9E35+fiQlJZGQkJDm88lsNqPT6TCbzRiNRss5Fqk/9x7+DEz9eSmEyLvyTNFw69YtjEZjmmFIhQsX5vTp0+k+JyoqCn9/f6v7/P39iYqKsvzcqFEjWrRoQXBwMH/99Rfjx4/n1VdfZePGjZYvyQ+bPn06ERERj7lFGdP8+0EgbGP+9z9hK8lNhfy+qZHc1EhuQghHyzNFQ3Zp166d5Xb58uWpUKECVapUYdeuXYSHh6f7nKFDh1odwbh37x6hoaG4uLhY/qVQGWZkNpvR6/Vp5uVOPWtGRrcfV3atQ6PREBMTQ4IhiYTE/y45n2TMyu3UH5SZ3U7eA5doNEGqq9pnbR2pnpDpOjK4bfP6cmIdWd2mf3NLMlnfn6e3yV7ry7gt539zMzx2brlnm+y3joy3KWVPeZrcHmt9T/7vXvbklnabDIlJ3Lx5EycnJ5s+vzL63HNxccFotR4hRF6VZ6797evri06n48aNG1b337hxI8PzER4+qgDpH31ILSQkBF9fX/76668Ml3FxcaFgwYKWf56enjZsyaNpNJpMr8gnhBBCCKGqV69eVjtNxeOJjY3l1VdfxcfHB71ez927dx3dpWyhVDQkJiZy5coVzpw5w507d+zdp3Q5OzsTFhbGzp07LfeZTCYiIyN57rnn0n3Oc889Z7U8wI4dOzJcHuDvv//m9u3bDj0xWqvVsmfPHk6ePGk5F0E8mslsxpRBXgnxcST+O6WssJZZbiJjkpsayU2N5OZARiOayEg033yDJjIScuDIyfXr1xk6dCjlypWjQIECFC1alPr16/PZZ58RGxv72O1Pnz6dRYsW2aGnGTMYDHzyySdUqVKFggULEhAQQP369Vm8eLFlOnh7GDduXKZT7+eEpUuXsmvXLnbu3Mnly5ctUySntmTJEvR6PaGhoWkeW7VqFXq9nlKlSuVEd5VleczJvXv3WLlyJatXr+bQoUMYDAbL3PxPPfUUDRs2pHv37lSpUiXbOjtgwAAGDhxIpUqVqFKliuWPp3PnzgD079+fwMBARo8eDUC/fv1o2bIls2fPpmnTpqxevZrDhw8zffp0AO7fv09ERAQtW7akSJEi/PXXX4wZM4aSJUvSqFGjbNuORzlw4AAffPABt27dwsvLi/r161O3bl3q1KlDYGD2TFf6JNBazgWx/mCNi33AivlTib5zi0EjPkYvR3GsZJSbyJzkpkZyUyO5OYZmzRq0w4ahuXLFcp+5WDFM06ZhbtMmW9Z5/vx5wsPD8fb2Zvz48VSsWBEXFxeOHj3KwoULKVq0KC1btkz3ualPQs9Mel9q7clgMPDSSy/xxx9/MGbMGGrXrk3BggXZu3cv06ZNo1KlSlSqVClb+2Arg8GgPMrj/PnzlCtXjooVK2a6nIeHB1FRUfz222/UqlXLcv+XX36ZJ6Y4zlLRMGfOHKZNm0aJEiV44YUXGDp0KIGBgbi6unLnzh1OnDjBb7/9Rrt27ahatSpTpkzh6aeftntn27Zty61bt5g0aRJRUVFUrFiRlStXWoYbXblyxTILEECNGjWYP38+EydO5KOPPqJkyZIsW7bMco0GnU7HsWPH+Oabb4iOjiYgIICGDRvywQcfOHTK05SLo0HyhXz+97//sW7dOgCCgoIIDw+nbt261KhRw+5Do7JboYIaivhkz14anTb5wzRlxhCABw8esHTWdG5cvwpAYe9EXFzTP8E9v0ovNxVxCRpiHmgp6GHCzeXJ/2Jjr9zyEnu8xvkxN3vIqdwS7slEHCk0a9ag7dABHj7C8/ffaDt0wPTtt9lSOLz55ps4OTmxZ88eq+snlSxZklatWlmNQNDr9cyaNYuNGzeybds23n77bUaMGMEbb7zBjh07uH79OkFBQfTr188y/TwkD0+Kjo7m+++/B5KvVxUaGoqrqytffPEFzs7O9O3b17IT1mw2M378eBYvXsw///yDr68vbdu2ZcaMGeluw6effsovv/zCnj17qFy5stU2tG/f3nIxWZPJxMcff8zChQu5fv06pUuXZsSIEZahU5GRkTRp0oSNGzfy/vvvc+LECcLCwli4cCFly5ZlyZIljB8/3pIFJF8EuHv37ty9e5fhw4ezbt06EhISqFq1Kp988glhYWFA8hGKH374gQEDBjB58mQuXrxo6dfDVq9ezdixYzl79iyBgYEMHDjQMptn48aNLaNa9Ho99evXZ+vWrem24+TkRMeOHVm8eLGlaLhy5QqRkZG89dZbfPvtt5Zlz507xzvvvMPevXt58OAB5cqVY8KECTRu3NiyzLx58/j0008tRzfq1q1raeP7779n/PjxnDt3Dnd3dypVqsTq1autfqdslaWi4ffff+enn37imWeeSffxqlWr0rVrVxISEli+fDm//fZbthQNAH369KFPnz7pPpbyxTq11q1b07p163SXd3Nzs/zB5Dapf3FTn0R26dIlVqxYwVdffYVWqyU0NJTw8HDq1KlDWFhYlvYwOEqxot580McTZ+fHP7SaHkNicsHorE/+UL1zJ5YW7ecRdf0fyzKvNYujgId8WUnt4dzU2zGxYrMHnZ5/gLM+z5wupcxeueUl9niN82Nu9pBTuRkMnqxa7J2t68gTjEa0w4aB2czDZZTGbMas0aAdNgxjq1aQwUyLKm7dusXmzZv56KOPMvxy9/AMi+PHj2fChAlMnToVJycnTCYTxYoVY8WKFfj6+vLbb79ZRmK88sorGa77q6++YsiQIfz666/s2bOH3r17U7t2bZo0acLq1auZOXMmX3/9NeXLl+f69ev88ccfGba1fPlyGjdubFUwpEg90cuUKVNYvnw5c+bMoVSpUvzyyy90796dwoULU79+fctzRo0axccff4yfnx8DBw6kT58+7Ny5k1dffZVjx46xadMmNmzYAPx3FKVjx464ubmxbt06vLy8WLBgAS+88ALHjx+3TKt/7tw51qxZw3fffZfhjJkHDx6kU6dOjB49mldeeYXffvuNN998Ex8fH7p3787KlSv54IMPOHbsGCtXrnzk0YoePXrQpEkTpk+fjru7O0uXLuWFF15Ic77t/fv3efHFFxk3bhwuLi4sW7aM1q1bc+zYMYKCgjhw4ABDhw61FCC3b99m165dAFy7do2uXbsyadIkWrduzb1799i1a9djD3nPUtGwcOHCLDXm4uJCz549H6tDIllmX/6TkpKvCGoymThy5AhHjx7l008/xdXVlZo1a1KvXj3q1q3L008/naumb/X18cDZWcf6bV9z+07Uo59gI60u+Y3CZIzmwQMTMz69wfXrSaTeMfftD7NxdXnyv9DaInVuqnwK+dOsURe8C5hx1muz7TXOTeyRW15ir9c4v+VmLzmRW8pr7OujvifySaHZtctqSFKax81muHIFza5dmDOYaVHF2bNnMZvNlClTxur+gIAA4uPjgeSh2JMmTbI81rFjR3r06GG1/Icffmi5XaJECfbs2cOqVasyLRpCQ0MZNWoUAKVLl2bu3Lls27aNJk2acOnSJQICAmjcuDF6vZ6goCCqV6+e6XZkNANlioSEBCZPnsyGDRsse91LlizJr7/+yoIFC6yKhvHjx1t+Hj58OK1atSI+Ph43NzcKFCiATqcjICDAsvyuXbvYv38/V69etYwciYiI4Mcff+T777+37Hw2GAx8+eWXaabzT23GjBk0atSIESNGAFCmTBlOnDjBtGnT6N69Oz4+Pri7u+Ps7GzVh4xUrlyZEiVK8P3339O1a1eWLl3Kxx9/zPnz562WCwsLsxwVARg7diw//PAD69atY+DAgVy+fBkPDw+aN2+Op6cnwcHBliLt2rVrJCUl0aZNG4KDgwHSPZfCVvl+ytXcKvUwq0dJORIRHx/Pzp07iYyMxGw24+vrazkKUadOnUz/KHLS7TtR3Lj1t93b1euTLyAUHX2TxYvhxo20R5Vv3rrGE3qxbWUpuSUm3rRbm9n1Gucm2ZFbXqL6Guf33FRJbjns2jX7LveYdu/ejclkolu3bmkulpfeScBz585l8eLFXL58mbi4OAwGg9UX0PQ8/KUyMDDQMgNl+/btmTVrFmXKlKFp06Y0a9aMFi1aZDgde1b2aJ89e5bY2FiaNWtmdb/BYEhzvkPqvqV8MY+KisrwPIA//viD+/fvp5nUJi4uzurLeXBw8CO/G508eZJWrVpZ3Ve7dm0+/fRTqwvf2qJHjx4sWbKEoKAgHjx4QLNmzZgzZ47VMvfv32fcuHGsX7/eUgTExcVx+fJlAJo0aUJQUJDlNXnhhRdo3bo17u7uhIWF0ahRIypXrkzTpk1p0qQJ7dq1o1ChQjb3NTWbi4b4+Hjmz5/Prl27uHnzpuVqkSl27NjxWB0SyVSvoJn69bh16xY//PADq1evBuDpp5+2FBHVq1fH3d3dLn3NLUymBOLiyLBgEOkzmeRqrSokNzWSmxrJLYdlddIRO09OUqpUKTQaTZqL1pYsWRJIHlb9sIeHMX377be8++67REREULNmTTw9PZk6dSr79u3LdN0Pj3DQaDSW7xTFixfn2LFjbN26lS1btvDmm28ydepUtm3blu7IiNKlS3Pq1KlM13f//n0AfvzxR5566imrxx4+rzT1OlJGUDz8/TO1Bw8eEBgYyJYtW9I85u3tbbntqO9BnTt35v3332fcuHF06dIl3eJr+PDhbN261XKesJubGx06dLAMX/f09GT//v1ERkayefNmxo4dy/jx4/ntt9/w9vZmw4YN7N69my1btjBnzhxGjx7Nr7/+SokSJZT7bXPRMHjwYLZv306rVq2oUqVKrhr+8iSx1wXbUp8Pce7cOS5evMgXX3yBTqejUqVKliIiNDRUqVrOTeLjnVi5UgoGW2k0csBRheSmRnJTI7nlLHPdupiLFYO//04eivTw4xoNFC2KuW5du67X19eXJk2aMHfuXAYOHKh00uru3bupVasW/fv3t9z38NAXFW5ubrRo0YIWLVrQv39/KlasyJ9//pnurJmdOnVi5MiR/P7772nOa0hMTMRgMFC+fHlcXFy4dOmS1VAkWzk7O6e5gGDlypW5fv06Tk5OhISEKLcNUK5cOXbv3m113+7duylTpozy9yYfHx9atmzJypUr0xxhSL2Obt26Wc7LvX//PhcvXrRaxsnJicaNG9O4cWNGjRqFn58f27dvp02bNmg0GstIk5EjR/L000+zdu1aywncKmx+F9q4cSPffvstNWvWVF6peLTsOqE55XwIo9HIoUOH+P3335k2bRoeHh7Url2bevXqUadOHYKDg/NUQRgbC+vW6YmJkYLBVlpt7j15PjeT3NRIbmoktxym02GaNg1thw6YNRqrwsGcsqd72jS7ngSdYtasWYSHh1OzZk1GjRpFaGgoWq2WAwcOcOrUqUdObV+qVCmWLVvGpk2bCAkJ4euvv+bAgQOP9eV5yZIlGI1GyyiF5cuX4+bmZhkv/7DBgwfzv//9jxdeeIExY8ZQp04dPD09OXjwIB9//DHz58+nUqVKDBs2jP/7v//DZDJRp04doqOj2b17NwULFqRbt25Z6ltwcDAXLlzg8OHDFCtWDE9PTxo3bkzNmjVp164dkydPpnTp0ly9epX169fz8ssvU61atSxv+9ChQ6lVqxYTJkzglVdeYc+ePcydO5dZs2ZluY30LFq0iFmzZuHr65vu46VLl2bNmjU0b94cjUbDmDFjrI6u/Pzzz5w/f5569epRqFAh1q9fj8lkokyZMuzdu5ft27fTpEkT/P392bdvHzdu3MhwQqOssrloCAwMzHPTfOZFKSc8ZSez2WwZd/jgwQPLYUez2UyRIkUsRyFq165tmWngccXcv0Nikn0vshYbmzwkKSEhXgoGBUbj4/+uJSYZiLl/BwjMltc4N7JHbnmJvV7j/JabveREbv+9xgLA3KYNpm+/TZ5FKfVJ0UWLZut1Gp5++mn279/P5MmTGTlyJFeuXMHFxYVnnnmGYcOG8cYbb2T6/L59+3L48GE6d+6MRqOhQ4cOvPHGG5bZhVR4e3sTERHBO++8g9FopGLFiqxduzbDL7wuLi5s2LCBmTNnsmDBAt59913c3d0pV64cgwYNslzPYOzYsfj5+REREcH58+fx9vamcuXKvPfee1nuW9u2bVm7di3PP/88d+/etUy5um7dOkaNGsXrr7/OjRs3CAgIoG7dujZfvLdKlSqsWLGCsWPHMmHCBAIDAxkzZgzdu3e3qZ2Hubm5pTvcLMXHH39Mnz59qF+/Pn5+fvzf//0fMTExlse9vLxYu3Yt48ePJz4+3lIsVqhQgRMnTvDLL7/w6aefEhMTQ3BwMBEREbz44ouP1WfN7du3bfqatXnzZubPn8+0adMoXrz4Y638SRETE0NISAjR0dEULFjwsdvbsmUL7du3JzrasbOLODk5WY5MlC1b1nJ9iKpVq+Lq6mpTW0ePHmXShL60aHWbpCT7XQkypWC4cQMKFkyeXSSz3N5/HzkR+iFOTsm5JSU93u+bk5OeIsWG8M+VGXZ9jXMre+WWl9jjNc6PudlDTuXm5KTnpx99mDPvf3a7WGtMTAxeXl5cuHDBLp+RWWUwGLh58ybBwcE2f2ZZMRrR7NqVfNJzYGDykKQ8PpxXiNTi4+O5ePEifn5+mU4Za/ORhsqVK5OQkEDlypVxd3dPM/beHuPmRHIF6uiiIaVgADh16hRnz55l/vz56PV6qlatSv369alTpw7ly5fP0mxPzi4mkpISebFhZ3wK+T9y+Ue5Gx1P116ruHXrFmaz2VKxZ5bbqy8PwMNdrgidmiEx+cPUWa++J/P2nSg2bF+OMemWXV/j3MweueUl9nqN81tu9pITuaW8xs4ucg0NKzqdXadVFSKvsrlo6NOnD9euXWPUqFEULlw4T417z0sePHjg6C6kkXKiUWJiInv37mXfvn1ERETg6elJ3bp1LedDFCtWLNN2fAr54++X+TKPcudOLD37zuPc+dsYjf8NsXqUwr5FKeAhhxpSy46LRtnjNc7t8vtFylRf4/yemyrJTQjhaDYXDfv27WPjxo2W8Wgif0p9PsS9e/fYtGkT69evB6Bo0aKWoUw1a9a0XJ3RXlKu9Hzy9D8YjfIBKoQQQgiR3WwuGkqXLk1cXFx29EWk4uHhwb179xzdjSxLPd3Z33//zXfffcfy5cvRaDSUL1+e8uXLc/eugVQjnpRkVjCkTE2Xl3LLDZKMyWNzZQ+mbSQ3NZKbGslNCOFoNhcNo0ePZtSoUYwcOZLy5cunOachJ09yepLlxuFJtkg5H8JsNnPs2DFOnDiByWTi+AnYsW0NLz7/LA3rl6F8uYAsD3F71BGGvJ6ZozjpjI9eSKQhuamR3NRIbkIIR7O5aHjllVcALBebSGE2m9FoNNy8KZe4F2mlzC2clAS//naR3b9dwmQ241PIncYNytIwvAwN6pXhqcD0hzLJkCQhhBBCCMexuWj48ccfs6Mf4iF5bXiSLcxmMJN8PsTtO7Gs/vEIK9f8DkDJEn40aViOhvVLU6fW0xT0dM1ywSDDk9TIsAc1kpsayU2N5CaEcDSbi4Y6depkRz/EQ2JjYx3dhRyTuhA4/9dNvri8m/lf7EKn01A5rDjR0XGcv3DrkUcY8lNm9iTDHtRIbmokNzWSmxDC0R49uT5wJfWVELPg6tWrSp0R/zHn40sbJyUlFwdGo5kDhy5x7q+bWRqSlHpGJyGEEEIIYT9ZKhoaN27M0KFDOXToUIbLxMTEsGTJEmrXrs26devs1sH8yt3d3dFdyDVMpqwVAu7u7pKbAqNRi9GYpbcCkYrkpkZyUyO5iSfVyZMnqVOnDgUKFKBq1aqO7o7IRJbegX777Tfc3d1p27Yt5cqVo0OHDrz11lu8++679OvXjwYNGlCmTBm+/vprxo4dS79+/bK730+8hIQER3chz0lISJDcFGi1ZrRaOUJjK8lNjeSmRnJzHKMRIiM1fPONhshIDcYcGCl2/fp13nrrLcqUKYOHhwclSpSgdevWbNu2za7rady4McOGDbNrm7YaN24cHh4eHDt2jE2bNqW7TK9evdDr9ej1etzc3ChatCgvvvgiX375pWWilezol16vp3nz5mkemzp1Knq9nsaNG2fLunOrLJ3T4OPjw4QJExg5ciSbNm1iz549XLlyhbi4OHx9fWnfvj2NGjWifPny2d3ffCO7/gieZJKZGo1GvoiokNzUSG5qJDfHWLNGw7BhWq5c+W9q8GLFzEybZqJNm+x5TS5cuEB4eDje3t5MnjyZihUrkpiYyKZNmxg8eDBHjx7NlvU+DoPBgLOzs9Jzz507x0svvURwcHCmy73wwgssXLgQo9HIP//8w6ZNmxg2bBirV69mzZo1aS4BkCIxMRG9Xq/Ut8DAQHbs2MGVK1coVqyY5f7FixcTFBSk1GZeZtOxTjc3N15++WUmTZrEV199xapVq/j8888ZNGiQFAx25uLi4ugu5DkuLi6SmwKTSYvJJMMebCW5qZHc1EhuOW/NGg0dOmh5+LTOv/+GDh20rFmTtWsM2erNN99Eo9Gwe/du2rZtS5kyZahQoQJDhw5l165dluXu3r1L3759CQwMxMfHh+eff54jR45YHh83bhxVq1Zl2bJllCpVCl9fX7p06WKZYbBXr17s3LmTWbNmWfbiX7hwAYCjR4/SokULvL29KVq0KN27d7eaUr9x48YMHjyYYcOGERAQwEsvvZTutphMJj766CNCQkLw8PCgatWqbNy40fK4Xq/n0KFDfPTRR+j1esaNG5dhLi4uLgQEBFC0aFGqVKnCe++9x+rVq9mwYQNLliyxavOzzz6jTZs2eHl5MXHiRMqVK8e0adOs2jt8+DB6vZ6zZ89muM7ChQvz/PPP89VXX1nu2717Nzdv3qRZs2ZWy+7fv58XX3yRgIAAfH19adSokdWwfrPZzLhx4yhZsiQeHh4EBQUxZMgQy+Pz5s3jmWeeoUCBAhQtWpQOHTpk2C9HkXegXCrpcS+dnA8lJSVJbgo0GrPsxVQguamR3NRIbjnLaIRhw7Qkz61hXRyYzck/DxumtftQpdu3b7Nx40b69+9vmUY8NW9vb8vtjh07cuPGDdatW8fevXupXLkyL7zwArdv37Ysc/78eX788UfWrl3LDz/8wM6dO4mIiABg+vTp1KxZk969e3P58mUuX75M8eLFuXv3Lk2bNqVSpUrs2bOHn376iaioKDp16mTVl6+++gpnZ2ciIyOZM2dOutvz6aefMn36dKZMmcKhQ4do2rQpbdq04cyZMwBcvnzZUhBdvnzZ5qFSDRs25Nlnn2Xt2rVW948fP56XX36Z33//nZ49e9KjRw+rwgJgyZIl1KtXj1KlSmW6jh49erB06VLLz4sXL6ZTp05pjqzcv3+f1157jR07drBr1y5KlSpFq1atLEXa6tWrmTlzJnPnzuXEiROsWrWKihUrAnDgwAGGDh3Khx9+yLFjx/jpp5+oW7euTVnkBCkacin58ms7KRrUyJcRNZKbGslNjeSWs3bt0vw7JCn9owlmc/Lju3bZ92jD2bNnMZvNlC1b9hH928X+/fv55ptvqFatGqVLlyYiIgJvb2++//57y3Imk4lFixZRsWJF6tatS5cuXSznRXh5eeHs7Iy7uzsBAQEEBASg0+mYO3culSpV4qOPPqJcuXJUrlyZBQsWsGPHDk6fPm1pu1SpUkyePJmyZctm2N/p06fzzjvv0KFDB8qWLcukSZMICwvj008/BbCss0CBAgQEBFCgQAGbMytXrhwXL160uq9jx4706NGDkiVLEhQURLdu3Th16hT79u0DkocsffPNN/To0eOR7Tdv3pyYmBh++eUXHjx4wKpVq9J9XsOGDenSpQvlypXjmWee4bPPPiM2NpadO3cCcOnSJQICAmjcuDFBQUFUr16d119/HUgunjw8PGjevDnBwcFUrlyZN9980+YsspsUDbmUDLOxnQxPUiPDHtRIbmokNzWSW866ds2+y2VVVqcN/+OPP7h//z5FihTB29vb8u+vv/7i/PnzluVCQkLw9PS0/BwQEMCNGzce2faOHTus2k3ZI5667SpVqmTaTkxMDFevXqV27dpW99euXZuTJ09maTuzwmw2o9FYF28Pz8L01FNP8dJLL7F48WIAfvrpJxISEmjfvv0j29fr9XTu3JnFixezatUqSpcuzbPPPptmuX/++Yd+/frxzDPP4Ovri4+PD/fv3+fSpUsAtG/fnri4OMqUKUO/fv1Yu3atZUdnkyZNCAoKokyZMnTv3p3ly5fnymtP2XxxN5Ez5KRe20lmamTvpRrJTY3kpkZyy1mBgfZdLqtKly6NRqPh1KlTmS734MEDAgMD2bJlS5rHUg9hevjkYI1G88jPyvv379OiRQsmTpyY5rHAVBuc3vApRzhx4gQhISFW96XXt169etGjRw+mTp3KkiVLeOWVV7I8TXuPHj2oU6cOx44dy/DoRK9evbh16xbTpk0jKCgIFxcX6tWrh8FgAKB48eIcO3aMrVu3smXLFt58802mTp3Ktm3b8PT0ZP/+/URGRrJ582bGjh3L+PHj+e2336xeT0eT3Ra5VGJioqO7kOckJiZKbgpk2IMayU2N5KZGcstZdeuaKVYs48w1muTH69a172vi4+ND06ZNmTdvHg8ePEjz+N27dwGoXLky169fx8nJiVKlSln98/Pzy/L6nJ2dMT50YkblypU5fvw4ISEhadq2pVAoWLAgTz31FLt377a6f/fu3TzzzDNZbicz27dv5+jRo7Rp0+aRyzZr1gwPDw8+++wzNm7cmKWhSSkqVKhA+fLlOXbsWJpzO1Ls3r2bQYMG0axZMypUqICLi4vVyeOQPKFQixYtmDFjBlu2bGHPnj38+eefQHKB17hxYyZPnsyhQ4e4cOEC27dvz3Ifc4LNRcOKFSus5tH98MMPCQkJ4YUXXuDy5ct27Vx+pjo9WH6WMvuDsI3ZrLGc2CeyTnJTI7mpkdxylk4H06Yl75F/uHBI+XnaNBM6nf3X/emnn2I0GqlduzarV6/mzJkznDhxglmzZlGvXj0gefaimjVr0q5dOzZv3syFCxfYvXs3o0aN4sCBA1leV3BwMPv27ePChQvcvHkTk8lE//79uX37Nl27dmX//v2cO3eOTZs20bt37zQFxqMMGzaMjz/+mO+++45Tp07xwQcfcOTIEaXx+gkJCVy/fp2///6bQ4cOMXnyZNq2bUvz5s157bXXHvl8nU5Ht27dGDlyJKVLl6ZWrVo2rX/z5s1cvnw5wz3/pUqV4uuvv+bEiRPs3buXbt264ebmZnl8yZIlfPHFFxw9epTz58+zfPly3NzcCA4O5ueff2bWrFkcPnyYixcv8tVXX2EymShTpoxNfcxuNhcN06dPx9XVFYB9+/axaNEixowZg6+vLyNGjLB7B/MrrVYOAtlKq9VKbgrky4gayU2N5KZGcst5bdqY+fZbE0WLWt9ftCh8+232XaehZMmS7Nu3j/DwcIYPH06lSpVo1qwZ27dvZ/bs2UDyMKN169ZRr149Xn/9dcqXL0/Xrl25ePEiRYoUyfK6hg0bhk6n49lnnyUwMJBLly7x1FNPERkZidFo5KWXXqJy5cq8/fbbeHt72/wZ++abbzJkyBCGDx9O5cqV2bhxI2vWrKF06dI2tQOwceNGihcvTqlSpWjRogU7duxg+vTprF69Gl0Wq7eePXtiMBjo3r27zev38PDIdKjQ/PnzuXPnDtWrV6dnz54MGjQIf39/y+Pe3t4sWrSI8PBwqlSpwtatW1m7di2+vr54eXmxdu1amjZtSmhoKPPnz2fZsmVUqFDB5n5mJ83t27dt+q0vWrQoe/fupVixYowZM4Z//vmHefPmceLECVq1amWZRis/iYmJISQkhOjoaAoWLPjY7W3ZsoW2bdtapukSWZNysldmuV05M4ECHnKydGqGxOQPAWe9+jkhUTevsHz1DAKK9eL6lS/o3HYI/n7FHv3EPMpoMLN7kRNRl/QElkigRg8TOucn+wudvV5je/y+5Uc5kVvKa7xta2Gmz9jwyBNdsyomJgYvLy8uXLhgl8/IrDIYDNy8eZPg4GDLzk4VRmPybErXriWfw1C3rjlbjjCI7Ldr1y6aNm3KX3/9ZVNx9aSLj4/n4sWL+Pn5ZXqRPpt3y3p4eFjmAN6+fTsNGjQAwNXVlfj4eLXe2mDhwoWEhYURGBhIkyZNOHjwYKbLr127lho1ahAYGEidOnXYvHmz1eNms5mJEyfyzDPP8NRTT9GmTRvOnTuXnZuQJRld2VBkzMnJSXJTIHswbfPzeGfCSnai5fgh9F4ykJfGDCOsZCd+Hq92NdT8Rn7f1EhujqPTQXi4mY4dzYSHS8GQFyUkJHDlyhXGjRtHu3btpGBQZHPR0KBBA9566y0GDx7MuXPneP755wE4efIkxYsXt3sHU1u9ejUjR45k+PDhbN++nYoVK9K+ffsMpw/bu3cvffr0oUuXLuzYsYOXXnqJrl27cvz4ccsyn376KfPnz2fq1Kls3rwZd3d32rdvnyMFUGbky6/tpGhQI19Gsu7n8c50nTeQKybrKVP+NgXSdd5AKRyyQH7f1EhuQqj75ptvePrpp7l79y6TJ092dHfyLJu/YX388cdMmDCBv//+m8WLF+Pj4wMkX467Xbt2du9ganPnzqVbt2506dIFgGnTprF582a+/vprq0txp/j8888tlzoHGDFiBDt27GDhwoVMmzYNs9nMZ599xttvv225BPq8efMoW7YsP//8s83bYzAYLFNrpabVaq2+zKa3TIqUuYYTEhJsWrfIWmYGQxJmd2dLzklJRkymjEfo6fU6y7JGowmjMeOhAbYs6+T03/kXjl5WqzVhMpkwGDK+MJ5Op0WnS27XZDKRlGTdriHRSFJSSp7/3Z/esra0m9GyZrOZxMSMT8izZVmtVoOTk+6RyxoNZt79vCPJvy3W+1vMaNFg4t3P29Bo6DJ0zhqrdoFM87VlWY1Gg16vtmxiojHDeeAftWzq1/jhcyEzaxfA2fm/9z+jMRGz2YxBk/5rnXrZR/192rJs6r/P7Fo2O98jkpKSPzfSy81e7xEpr7HJZCYxMRGTyWRZNvnvM7P3CJ1lXPnDy2b2mSdETujevbvSeQzCms1Fg5eXl+US5Km9//77dulQRgwGA0eOHGHo0KGW+7RaLeHh4ezfvz/d5+zfv58BAwZY3deoUSP+97//AXDx4kX++ecfyxArSJ4irGrVquzfvz/DoiEhIcHqC2rKGPopU6bg4uKS5o22dOnSdO7cGaPRiEajISIiwvImqtFoLB+2Go2GoKAgQkJC8PLyQqvVkpSUZFlWr9dbphTV6/UkJSXh7OyMh4cHcXFxxMfHo9PpMJmSvwTqdDrMZjMmkwm9Xo+rqysGgwG9Xk9CQgKJiYmWk4eTkpLQaDQ4OTlZtfvgwQMMBgNOTk5p1m02m9Hr9Tg7O5OUlISLiwtxcXGWdjUaDUaj0bIOo9GIm5sbLi4uxMbGkpSUhFartWo39W0nJyfMZjOurq48ePCAxMREq21K+YAyGo14eHhQqFAhDAYDRmPyF5jU25TS7vTZuxg2uBEe7i4kGXVs33GS3/+4hNmkQaMBNGbMZk3yNUA1Zvr0bIC3lxsajZntkWfYd/BC8swZZg1m+O+2GXp1r01hP0+SjDr27jvFr3vOYjIlfykHktehBTDTuUNtigZ6odGY2bPvEjt3nbKsm9TtAp1eeY7ixXwxmTUc+eMvtmw/idkEGq3539+x/9bxcovnKFvaF4Ajf15n4+Y/02xTyu1WLcIoWzqQBIOOM2evsn7j72m2KWUdTZuEUSk0ee/6qTN3+OGn/VbbFBt3j5Nn3HEvcIyige4kJrmQYNBx+cpdVqzcn2abUm7Xq1uWWtVDAA1X/r7P8u92p9mmlNt1apaiZvUyaLVmbt6K4Yulu9NsE/+2W61KCRo1KIPZrOFudBwLvtyRZptS2q38bBANG4TipDPyIDaB2fN2WF6n1O0mHSrBFdNDZ0SmYkbLFVMxprx+Aacqf1G2dAAtmlVBp0vejsnTdqTZppQMS5YszCttqmAyadFozMyYvRVDoslqm1JyK17Ulw7ta6DVmjCbNcyaF0n8v+9HD+f2VKAn3TrXwmjUotOZ+XzRL9yNjk83Nx8fT3p1q4v23/sXLfmN23fuWdYdF3+PE6ddKOB5nKREFzq11RMbr8dJZ2Tp8r1cvXbP+nf9378nVxcX3uzfCI3GjMmk5ZtV+7ny9y10WrP17xvgrNcyZFBTTCYNOp2JVWt+5+z5Wxnm9u7bLwJmjCYt637+g9Nnr6f5XU/53XtrwPPo9U5otSZ+3nCco8f//ncWHE2av6c3+4fnuveIbZGn0WhAqzVbtsne7xFxcfc4ccaZ6/+YWLhwIc7OzpQrVw5IHk2watWqf9et+bfd/z7rXnrpJcsFtY4fP265KrHJZJKpsIV4QthcNDw83+7DHr7yn73cunULo9FI4cKFre4vXLiw1WXNU4uKirI6cx3A39+fqKgoIPnqfSltPNxmyjLpmT59erqFkz1ldiKKSJ9kpsZk0mCSYQ+PZLjrleXlZJBcxszm5H/CVppMj+aIjEluQmQuq38jNs+e5Ovrm7aRVJfvfvhCFvZy7do1KlSowIYNG6hevbrl/g8//JBff/013asiFilShLlz51odMVi0aBERERGcOnWKvXv30qxZM44fP05AQIBlmZ49e6LRaPjiiy/S7Ut6RxpCQ0O5ceNGujND2Do8KTIyUmZPUpCV2ZPOHxtLIW/3XDf0wJHLGhK1yXsMNerDk6Ju/c03a2YRUKw7UVeX0LV98sw6T9LwpL2LdLQc/38ZtpNi3ahPqNHb+MQNT0r9Gv/z9xJee+W/2ZNsGZ70INaM2WzOcBYgGZ6U7OG/5bh/T7NLLzd7vUekvMY7tvvxydSfeO655+wyPCkmJobChQvn+OxJJpOJa9eu4e/vbxlKLYRI6/bt20RFRREYGJjptLo27xD766+/rH5OTEzkjz/+YOLEiYwcOdL2nmaRr68vOp0uzUnPN27cyPAs+NRHFVKkPvqQ8rwbN25YFQ03btygYsWKGfbFxcUFF5e003Y6OztnaW93VpZJXYiJrMlKZs7OTlbLpf6i9iipv4g+actqtVqc9Vl7O9BqtTg7W7frrNfh5JScZ+r3m/SWtaXdjGg0GqsvjDmxbO3eZopN+Ju/TYGY05lDQoOJYtqr1O4NunTayGofsnPZ1EWBrcumfo0fnj1Gpd2sTB1qy99nblg2O/+WU/42HpXb4/Qh5TXWajXo9XqrLw/Jf59ZO5r78LKOOgqs1Wpxd3e3fG9wc3OTz1YhUjGbzcTFxXHjxg3c3d0feR0Om4uG9PYSNGzYEGdnZ0aOHJltl7x2dnYmLCyMnTt30rx5cyB5L0JkZCR9+vRJ9znPPfccO3fupH///pb7duzYwXPPPQckXwmxSJEiREZGEhoaCiTvETl48CA9e/bMlu3IKnd3d2JiYhzah7zG3d0dQHKzUZIx61/i8jOds4Yp/VbTdd5ANJisCgcN/5630G/NE3+9hsclv29qJDc1KRfjioqKkoJBiHSYzWbc3d0zvXBdCrsNvS1cuDBnz561V3PpGjBgAAMHDqRSpUpUqVKFzz77jNjYWDp37gxA//79CQwMZPTo0QD069ePli1bMnv2bJo2bcrq1as5fPgw06dPB5L3Kr7xxhtMnTqVp59+muDgYCZOnEhAQIClMHGUBw8eOHT9eZFkpsZJl/HQHWGt+SgDy5jDu5+3tTopupj2KpP7raH5KJkl5lHk902N5KZGo9FQqFAhvLy8Mh1eJUR+5eTklOUrfdtcNBw7dszqZ7PZzPXr15k5c2amQ3rsoW3btty6dYtJkyYRFRVFxYoVWblypWW40ZUrV6w2vEaNGsyfP5+JEyfy0UcfUbJkSZYtW0b58uUtywwePJgHDx4wdOhQoqOjqVmzJitXrnysq0cKIZ5czUcZePHdFfnuitBC5GW2DK8SQqTP5qKhfv36VtOEpqhWrRqzZs2yW8cy0qdPnwyHI61bty7Nfa1bt6Z169YZtqfRaPjggw/44IMP7NVFu/Dw8JAToW3k4eEBZH4itEhLhj3YTuesoWpPLWDE3TV52k6RNfL7pkZyE0I4ms1Fw+HDh61+1mg0+Pn5yZ55O5OhNraTzNTIsAc1kpsayU2N5CaEcDSbi4bixYtnRz+EEEIIIYQQuVSWiobPP/+c7t274+rqyueff57psv369bNLx/I7GZ5kOxmepMZo/Pc8IBn2YBPJTY3kpkZyE0I4WpaKhnnz5vHKK6/g6urKvHnzMlxOo9FI0WAncXFxju5CniOZqdHp5GqpKiQ3NZKbGslNCOFoWSoaUp/H8PA5DSJ7yGXvbSeZqZLc1EhuaiQ3NZKbEMKxsjYxq8hxcmK57VxdXSU3BUaTFqNJ3gpsJbmpkdzUSG5CCEfL0pGGESNGZLnBCRMmKHdG/CcxMdHRXchzJDM1Wo3swVQhuamR3NRIbkIIR8tS0fDnn39a/XzkyBGMRiOlSpUC4Ny5c2i1WipVqmT3DuZXcuVK20lmajTyZUSJ5KZGclMjuQkhHC1LRcOPP/5ouT1nzhwKFCjA3Llz8fb2BuDu3bsMGjSImjVrZksn8yMXFxeZBchGLi4ugMyeZCuTZciDzMpiC8lNjeSmRnITQjiazQMk586dy6hRoywFA4C3tzcffPABc+fOtWff8jWTST4YAJyctGiyeLFdk8kkuSnQaMyyF1OB5KZGclMjuQkhHM3mi7vdu3ePW7dupbn/1q1b3L9/3y6dEvl3fL5Op8FkMmM2Q9FAL5o0KsflK3fYvvPMI2dHyq+ZPS75IqJGclMjuamR3IQQjmZz0dC8eXMGDRrE+PHjqVKlCgAHDx7kww8/pEWLFnbvYH7l7Ozs6C7kCI0m+foeJpMZzwIuNKxfhobhZWhYvwwhwb4AGAxJdOuzlI1bTmRaOOSXzOzNZM7ioRxhRXJTI7mpkdyEEI5mc9EwdepURo8eTd++fS17dp2cnOjatStjx461ewfFk0en02A0mnFy0lK9WghNGpalYf0yPFuxKDpd2hFzzs5OLF3QLUuFgxBCCCGEsD+biwZ3d3c++eQTxo4dy4ULFwAICQnBw8PD3n3L1wwGg6O7YDc6nQ6j0QhA4cLQ6qUqvPRCFWpVL4G7e9aODmSlcHiSMstJMpWjGslNjeSmRnITQjiazUVDCg8PDypUqGDPvohU9Hq9o7ugTKvVYjabMZvN+Pn50aBBA4KDg/l112JebHaLzm3r4e9XzOZ2H1U45OXMHMkswx6USG5qJDc1kpsQwtGUiobff/+dtWvXcuXKlTQnny5dutQuHcvvtNq8deXPlKMJbm5u1K5dm3r16lGnTh1KlCiBRqPh6NGj7N/3+L8bmRUOeS2z3EK+jKiR3NRIbmokNyGEo9lcNHz//fcMGDCARo0asX37dho2bMi5c+eIioqiefPm2dHHfCkhIcHRXciUk5MTSUlJlov61a9fnzp16vDss8/i5KR8ACtLMioccntmuZVWK9PUqpDc1EhuaiQ3IYSj2fztbvr06UyYMIHXX3+doKAgJk2aRHBwMEOHDqVIkSLZ0cd8Kbu/eNsq9XkJISEhNGjQgDp16lC9enUKFCiQ4/1Jr3DIbZnlFbIHU43kpkZyUyO5CSEczeZvWRcuXKBp06ZA8hjy2NhYNBoN/fv3p3Xr1rz//vt272R+5Ojx+anPSyhUqBD169enbt261KlT57GLw9t3ouzUS/hkcmMMw+LYvvOvLGV249bfxMbJ1KypGRJdAXDWxyu38fBras/XOLeyR255ib1e4/yWm73kRG754e9WCKHO5qLBy8vLchG3wMBATpw4Qfny5YmOjiY2NtbuHcyv4uNz/gM15WiCi4sLNWrUoH79+tSuXZsyZcqgyeplmTNhSNDi5KRnw/bldujtf2rXgyvX4J9/4nnUbKzf/TAXFxe7rj7P0+kKAmA0xjxWO05OenROvtnyGudG9sotL7HHa5wfc7OHnMrNyUmPIUHODxNCpGXzO0Pt2rXZvn07AC+//DLvv/8+b731Fn369CE8PNzuHcyv7PEl/VFShvNoNBpCQ0N54403WLFiBYcPH+bLL7+kZ8+elC1b1m59iYtzoturw/H2KmyX9lI4OcGrr0LJkhq0WjmEbyuNRvPYr7G3V2G6vTocZ9fgbHmNcyN75JaX2Os1zm+52UtO5JbyGsfFyVBPIURaNr8zREREWPaCv/322+j1evbt20fLli35v//7P7t3ML9yc3MjOjrarm2mPi+hePHihIeHU6dOHWrWrEnBggXtuq6MFCxQCL2T/YcHOTlB27Zu/Pwz7N0b/cgjDuI/Wq3bv7fUf9/0Ts4ULFAIyL7XOLexR255ib1e4/yWm73kRG6pX2MhhHiYzUVDoUL/vaFotVqGDBli+TkuLs4unRLw4MGDx24jZc+UyWSiYMGC1KtXz3JeQtGiRe3Qy9zmAS++CLdvw5kzSOGQRUbj4/+u5UeSmxrJTY3kJoRwNLscg0xISGDhwoXMmjWLkydP2qNJoSjlaIJer6datWqWqVCfeeaZfHEdA50ueajSd99J4SCEEEIIYS9ZLhoSEhKYMmUKO3bsQK/XM3jwYJo3b87XX3/NhAkT0Gq19O/fPzv7mq94eHhw7969Ry6XUiRoNBrKli1LgwYNqF27NtWqVcMln53xq9N5AODkdE8KBxuk5GY0Pvr3TfxHclMjuamR3IQQjpblomHSpEksXryY8PBw9u/fT8+ePencuTMHDhxg/PjxtG7dGp1Ol519zVcyGp6UeirUgIAAwsPDqVu3LjVr1sTHxyeHe6nGp5B/trSr1SZ/qJpMyb+HA/ubWbDoNseO/Terkp9vIK4uT/4RF1s8nJuKh1/T7HqNcxN75JaX2Os1zm+52UtO5JYf/m6FEOqyXDT88MMPzJs3j2bNmnH8+HHq1atHUlISv/zyi8yEkY1Sn5fg4eFB3bp1LeclBAcHO7p7Nrl1+wEGg5FmjbpkS/uGxORiwFn/35VTO7VJolufpWzYfByADi8PooBH/joC8yjp5abWjom79zUYEk3Z9hrnJvbKLS+xx2ucH3Ozh5zKzWAwcuu2nD8hhEgry0XD1atXCQsLA6B8+fK4uLgwYMAAKRiygY+PD15eXsTFxVG5cmXLhdUqVKiQp4/mXPn7LhMX3CMo+Klsad/p32yS/p0hKkWjNm9w+Z8F3Lxxg683FXD4hfNym4xys1VcgoaYB1oW/OiJm8uTPybMXrnlJfZ4jfNjbvaQU7lduniVK3/fzdZ1CCHypiwXDUajEWfn/6bYc3JywsPDI1s6lZ47d+7w7rvvsmHDBrRaLS1btmTSpEkUKFAgw+fEx8czatQoVq9ejcFgoGHDhnzyySf4+/93CDa9IT0LFiygXbt22bIdWVGhQgXmzZtHSEgI7u7uDutHdrgTY8bldvYUPk665AI2yfhw+zpe6phc4N6+J0XuwzLOTU3MAy0x+WBHpb1zy0se5zXOz7k9jpzK7U7Mk1/wCyHUZLloMJvNDBw40HJybXx8PMOGDUtTOCxdutS+PfxX3759+eeff1i9ejVJSUkMGjSIoUOHsmDBggyfM2LECDZt2sSXX35JwYIFGT58ON26dWPDhg1Wy82ePZvGjRtbfvby8sqWbbBFcHDwE1cwOFJ+mDlKCCGEECK7ZLlo6Nixo9XPr7zyit07k5FTp06xdetWtm7dSuXKlQGYPHkyHTp0YNy4cQQGBqZ5TkxMDMuWLWP+/PnUr18fSC4Oatasyf79+3nuuecsy3p5eVGkSJGc2ZgsSEpKIj4+PkeP5DwJdP8WBjLswTaSmxrJTY3kpkZyE0I4WpaLhjlz5mRnPzK1f/9+vLy8LAUDQIMGDdBqtRw8eJAWLVqkec7hw4dJTEykQYMGlvvKlClDsWLF0hQNw4cP56233iIkJIQePXrQpUuXTM/VSEhIICEhwfJzytSoKfcnJiZaxs0nJSWh0+nQaDSWqVG1Wi0mU/LJbOndNhgMJCUlkZiYiNlstuwlNxqNlnMaMrptMpmsTp5OuW3+d/qglNsp7aa+/bjreHh9D6+jYMGCuDg74aLXYfx3m520WpLSua3Tai3L6LQaTCYwY0b77+tiMqe97aTVYDKZ0eu0aLVgNJnTtJXZ+kwms2UdZpKPrmW0Po1GgyblNhq0Wk22bBNW68iebdJpNZhNZvRO2idmm3LidUrJzdlJ+8RsU068Trp/3x+scsvj25QTr1N6uWXHNjnrnfDz8yMpKYmEhIQ0n09msxmdTofZbMZoNOLklPw1IvXn3sOfgak/L4UQeZddLu6W3aKioihcuLDVfU5OThQqVIioqKgMn+Ps7JxmqJG/v7/Vc95//33q1auHu7s727dv55133uHBgwf069cvw/5Mnz6diIiIx9iizMnJ5WrM//4nbCW5qZDfNzWSmxrJTQjhaA4tGsaOHcvMmTMzXWbPnj3Z2od33nnHcvvZZ5/lwYMHzJo1K9OiYejQoQwYMMDy87179wgNDcXFxcXyL4XKBdbMZjPu7u5pZvlJ2aOT2e3HlV3r0Gg0xMTEkGBIIiHxv8PrqQ+1Z3w79QdlZreT98AlGk2Q6gh+1taR+pB/VteX6rbN68uJdWR1m/7NLclkfX+e3iZ7rS/jtpz/zc3w2Lnlnm2y3zoy3qaUPeVpcnus9T35v3vZk1vabTIkJnHz5k2cnJxs+vzK6HPPxcUFowypEuKJ4NCiYeDAgXTq1CnTZUJCQvD39+fGjRtW9yclJXHnzh2rmZBS8/f3x2AwEB0dbXW0ISoqKsPnAFSrVo1PPvmEhISEDN8wHy4M7E2j0ZCQkICnp2e2reNJJPvg1EhuaiQ3NZKbGslNCOFoDi0a/Pz88PPze+Ryzz33HNHR0Rw+fJhKlSoBsHPnTkwmE1WrVk33OZUqVUKv1xMZGUmrVq0AOHPmDFeuXLE6n+Fhf/75J97e3tlaFDzKkzzTz62oa9nWtrM++dfZkJiUbet4EkluaiQ3NZKbmpzKLTvfo4UQeVueOKehbNmyNG7cmCFDhjB16lQSExN59913adu2rWXmpKtXr9KmTRvmzp1L1apVKViwIF27dmXkyJEUKlQIT09P3n33XZ577jlL0bBhwwaioqKoVq0arq6u7Nixg+nTpzNw4EBHbq7l6s937twBwNnZ2XL0AcDNzY34+HjLyc1ubm7ExcUBoNfr0el0xMfHWx5LfTJb6mWdnJxwcnLK0rI6nQ5nZ2fLz25ubhgMBsth50ct6+zsjIuLKz99+0V2xWYpQG/evJlt63gSSW5qJDc1kpuanMzN1dU1Szv0hBD5S54oGgDmz5/P8OHDadOmDRqNhpYtWzJ58mTL40lJSZw5c8byRRVgwoQJaLVaunfvjsFgoFGjRnz88ceWx52cnFi0aBEjR47EbDZTokQJPvroI7p165aj25aekiVL4ubm5uhu2E358uU5ffpUtn7gJSUl74Gz5zke+YHkpkZyUyO5qcnJ3Pz8/AgKCsr29Qgh8hbN7du3ZajkY4qJiSEkJITo6GgKFiz42O2lHFFw5BCpvEhyUyO5qZHc1EhuavJybjExMXh5eXHhwgW7fEYKIRxDdvXkQinDg4RtJDc1kpsayU2N5KZGchNCONqTe8atEEIIIYQQwi7kSEMu9CTPnpSdJDc1kpsayU2N5KZGchNCOJoUDbmQHIZWI7mpkdzUSG5qJDc1kpsQwtGkaMiFUqZSFbaR3NRIbmokNzWSmxrJTQjhaFI05EI6nc7RXciTJDc1kpsayU2N5KZGchNCOJoUDbmQ7FFSI7mpkdzUSG5qJDc1kpsQwtGkaMiFUq6yLGwjuamR3NRIbmokNzWSmxDC0aRoyIXkSqlqJDc1kpsayU2N5KZGchNCOJrM4SaEEEIIIYTIlBQNuVBiYiKJiYmO7kaeI7mpkdzUSG5qJDc1kpsQwtHkeGcupNfrHd2FPElyUyO5qZHc1EhuaiQ3IYSjyZEGIYQQQgghRKakaMiF5DC0GslNjeSmRnJTI7mpkdyEEI4mw5NyITkMrUZyUyO5qZHc1EhuaiQ3IYSjyZEGIYQQQgghRKakaMiFkpKSSEpKcnQ38hzJTY3kpkZyUyO5qZHchBCOJsOTciG5iI8ayU2N5KZGclMjuamR3IQQjiZHGoQQQgghhBCZkqIhF5LD0GokNzWSmxrJTY3kpkZyE0I4mhzvzIV0Op2ju5AnSW5qJDc1kpsayU2N5CaEcDQpGnIhjUbj6C7kSZKbGslNjeSmRnJTI7kJIRxNioZcyGg0OroLeZLkpkZyUyO5qZHc1EhuQghHk6IhF5I9SmokNzWSmxrJTY3kpkZyE0I4mhQNuZBWK+enq5Dc1EhuaiQ3NZKbGslNCOFoUjTkQiaTydFdyJMkNzWSmxrJTY3kpkZyE0I4muy6EEIIIYQQQmRKjjTkQnIYWo3kpkZyUyO5qZHc1EhuQghHyzPvQnfu3KFv374EBQUREhLCm2++yf379zN9zuLFi2nZsiVBQUH4+PgQHR1tl3azm8lkkkPRCiQ3NZKbGslNjeSmRnITQjhanika+vbty8mTJ1m9ejXffPMNv/32G0OHDs30OXFxcTRu3Jhhw4bZtd3sZjabMZvNDu1DXiS5qZHc1EhuaiQ3NZKbEMLRNLdv387170KnTp2iVq1abN26lcqVKwOwZcsWOnTowNGjRwkMDMz0+bt27aJVq1b89ddfeHl52a3dFDExMYSEhBAdHU3BggUVt/I/CQkJALi4uDx2W/mJ5KZGclMjuamR3NTk5dxiYmLw8vLiwoULdvmMFEI4Rp44p2H//v14eXlZvtgDNGjQAK1Wy8GDB2nRokWOtpuQkGB5Awe4d++e1f2JiYno9XoAkpKS0Ol0aDQajEYjGo0GrVZrOcyc3u34+Hh0Oh1msxmj0YiTU/LLlLrdh9eRskxW12c2m9NdR+q2MlufrduU0frsuU0Z5ZaXtyknXqeU3J6kbcqJ1ykhIeGJ26aceJ1S5/akbFNOvE4GgyHPblPqz0shRN6VJ4qGqKgoChcubHWfk5MThQoVIioqKsfbnT59OhEREcrrfRS58qcaGe+rJiW3lA95kTVGoxGz2Sy52UhyUyO5CSEczaFFw9ixY5k5c2amy+zZsyeHepN1Q4cOZcCAAZaf7927R2hoKC4uLpZ/KVQOJafMkvHwczNq93HXl9PryK71OTK3nF5fTuSWXetz5Drsub7ckltOry8ncrPn+nLLOh53fTqdzqZ+5KZtkh1hQjwZHFo0DBw4kE6dOmW6TEhICP7+/ty4ccPq/qSkJO7cuYO/v7/y+lXbfbgwEEIIIYQQ4knm0KLBz88PPz+/Ry733HPPER0dzeHDh6lUqRIAO3fuxGQyUbVqVeX1Z1e7jyspKQnImye8OZLkpkZyUyO5qZHc1EhuQghHyxNTrpYtW5bGjRszZMgQDh48yJ49e3j33Xdp27atZYajq1evUqNGDQ4ePGh53j///MOff/7J+fPnATh+/Dh//vknd+7cyXK7juDk5GQ5uUxkneSmRnJTI7mpkdzUSG5CCEfLE0UDwPz58yldujRt2rShQ4cO1KhRg+nTp1seT0pK4syZM8TFxVnu+/LLLwkPD2fIkCEANG/enPDwcNavX5/ldoUQQgghhMjv8sR1GnI7e1+nIeWK1AUKFHjstvITyU2N5KZGclMjuanJy7nJdRqEeDLIsc5cSKbUUyO5qZHc1EhuaiQ3NZKbEMLR8szwJCGEEEIIIYRjSNGQCyUmJpKYmOjobuQ5kpsayU2N5KZGclMjuQkhHE2GJ+VCchhajeSmRnJTI7mpkdzUSG5CCEeTIw1CCCGEEEKITEnRkAslJSVZLuQjsk5yUyO5qZHc1EhuaiQ3IYSjyfCkXEin0zm6C3mS5KZGclMjuamR3NRIbkIIR5OiIRfSaDSO7kKeJLmpkdzUSG5qJDc1kpsQwtGkaMiFjEajo7uQJ0luaiQ3NZKbGslNjeQmhHA0KRpyIdmjpEZyUyO5qZHc1EhuaiQ3IYSjSdGQC2m1cn66CslNjeSmRnJTI7mpkdyEEI4mRUMuZDKZHN2FPElyUyO5qZHc1EhuaiQ3IYSjya4LIYQQQgghRKbkSEMuJIeh1UhuaiQ3NZKbGslNjeQmhHA0KRpyITkMrUZyUyO5qZHc1EhuaiQ3IYSjya4LIYQQQgghRKbkSEMuJIeh1UhuaiQ3NZKbGslNjeQmhHA0KRpyITkMrUZyUyO5qZHc1EhuaiQ3IYSjSdGQC5nNZkd3IU+S3NRIbmokNzWSmxrJTQjhaFI05EI6nc7RXciTJDc1kpsayU2N5KZGchNCOJoUDbmQ7FFSI7mpkdzUSG5qJDc1kpsQwtGkaMiFjEajo7uQJ0luaiQ3NZKbGslNjeQmhHA0KRpyIScneVlUSG5qJDc1kpsayU2N5CaEcDSZw00IIYQQQgiRKSkacqHExEQSExMd3Y08R3JTI7mpkdzUSG5qJDchhKPJ8c5cSK/XO7oLeZLkpkZyUyO5qZHc1EhuQghHkyMNQgghhBBCiEzJkQY7SJkKLyYmxi7t3b9/H4ACBQrYpb38QnJTI7mpkdzUSG5q8nJuKZ+NMm2sEHmbFA12kPJmXrx4cQf3RAghhMid7t+/j5eXl6O7IYRQpLl9+7aU/o/JZDJx7do1ChQogEajeez27t27R2hoKH/++Seenp526GH+ILmpkdzUSG5qJDc1eTk3s9nM/fv3CQwMRKuVUdFC5FVypMEOtFotRYsWtXu7np6eFCxY0O7tPukkNzWSmxrJTY3kpiav5iZHGITI+6TkF0IIIYQQQmRKigYhhBBCCCFEpqRoyIVcXFwYPnw4Li4uju5KniK5qZHc1EhuaiQ3NZKbEMLR5ERoIYQQQgghRKbkSIMQQgghhBAiU1I0CCGEEEIIITIlRYMQQgghhBAiU1I0CCGEEEIIITIlRYODLFy4kLCwMAIDA2nSpAkHDx7MdPm1a9dSo0YNAgMDqVOnDps3b86hnuYutuR24sQJunXrRlhYGD4+PsybNy8He5q72JLbkiVLeOmllyhRogQlSpSgTZs2j/z9fFLZktu6deto1KgRISEhFCtWjPr16/Ptt9/mYG9zD1vf31J8//33+Pj40LVr12zuYe5kS27Lly/Hx8fH6l9gYGAO9lYIkd9I0eAAq1evZuTIkQwfPpzt27dTsWJF2rdvz40bN9Jdfu/evfTp04cuXbqwY8cOXnrpJbp27crx48dzuOeOZWtucXFxhISEMHr0aIoUKZLDvc09bM3t119/pV27dvz4449s3LiRp556inbt2nH16tUc7rlj2ZpboUKFGDZsGBs3buSXX36hc+fODBo0iK1bt+Zwzx3L1txSXLp0idGjR1OrVq0c6mnuopKbp6cnJ06csPw7cuRIDvZYCJHfyJSrDtCkSROqVKlCREQEACaTidDQUPr06cOQIUPSLN+rVy9iY2P55ptvLPc9//zzhIaGMm3atJzqtsPZmltqYWFhvPHGG/Tv3z8Hepq7PE5uAEajkRIlShAREUHHjh2zube5x+PmBtCgQQOef/55RowYkY09zV1UcjMajTRv3pwuXbqwZ88eoqOjWbZsWQ722vFszW358uV88MEHXLhwIWc7KoTIt+RIQw4zGAwcOXKE8PBwy31arZbw8HD279+f7nP2799vtTxAo0aNMlz+SaSSm7BPbrGxsSQlJVGoUKHs6mau87i5mc1mIiMjOXv2LLVr187OruYqqrlFRERQuHBhXnvttZzoZq6jmtuDBw949tlnqVixIl26dOHEiRM50V0hRD7l5OgO5De3bt3CaDRSuHBhq/sLFy7M6dOn031OVFQU/v7+Vvf5+/sTFRWVbf3MbVRyE/bJbezYsQQEBKQpXJ9kqrnFxMRQoUIFEhIS0Ol0fPzxxzRs2DC7u5trqOS2Z88eli1bxs6dO3Oii7mSSm6lSpVi1qxZVKhQgZiYGGbPns2LL77I7t27KVq0aE50WwiRz0jRIITI0IwZM1i9ejXr1q3D1dXV0d3J9QoUKEBkZCQPHjwgMjKSkSNHEhISQt26dR3dtVzp3r17vPHGG8yYMQNfX19HdydPqV69OtWrV7f6uWbNmixevDhfDYcTQuQcKRpymK+vLzqdLs3JbTdu3MjwZN30jiqkd/ThSaaSm3i83GbNmsWMGTNYs2YNFSpUyM5u5jqquWm1WkqWLAlAaGgop0+fZvr06fmmaLA1twsXLnDp0iU6d+5suc9kMgHJe9n37dtHiRIlsrfTuYA93t/0ej2hoaH89ddf2dFFIYSQcxpymrOzM2FhYVaH4k0mE5GRkTz33HPpPue5555Lc+h+x44dGS7/JFLJTajn9umnn/LJJ5+wcuVKKleunBNdzVXs9ftmMpkwGAzZ0cVcydbcSpcuza5du4iMjLT8a9asGfXq1SMyMjLfDLOxx++b0WjkxIkTshNFCJFt5EiDAwwYMICBAwdSqVIlqlSpwmeffUZsbKxlb1v//v0JDAxk9OjRAPTr14+WLVsye/ZsmjZtyurVqzl8+DDTp0935GbkOFtzMxgMnDp1CoDExESuXbvGn3/+iYeHh2VvcH5ga24zZ85k0qRJzJ8/n6CgIP755x8APDw8KFCggMO2I6fZmtv06dOpVKkSJUqUICEhgc2bN/Pdd9/xySefOHIzcpwtubm6ulK+fHmr53t5eQGkuf9JZ+vvW0REBNWqVaNkyZJER0cza9YsLl++nG9PJhdCZD8pGhygbdu23Lp1i0mTJhEVFUXFihVZuXKlZbjRlStX0Gr/OwhUo0YN5s+fz8SJE/noo48oWbIky5Yty3cfqrbmdv36dauTd2fPns3s2bOpU6cO69aty/H+O4qtuX3xxRcYDAZ69Ohh1c7w4cN57733crLrDmVrbrGxsbzzzjtcvXoVV1dXSpcuzWeffUbbtm0dtQkOYWtuIpmtud29e5chQ4YQFRWFt7c3YWFhbNiwgXLlyjlqE4QQTzi5ToMQQgghhBAiU7K7RwghhBBCCJEpKRqEEEIIIYQQmZKiQQghhBBCCJEpKRqEEEIIIYQQmZKiQQghhBBCCJEpKRqEEEIIIYQQmZKiQQghhBBCCJEpKRqEEEIIIYQQmZKiQQiRq+zatQsfHx+io6MzXS4sLIx58+blSJ/eeOMNpk2b9lhtbNmyhfr162MymezUKyGEECLnSNEghLDZwIED8fHxwcfHhyJFilC1alUiIiJISkp67LarV6/OiRMnKFiwIADLly8nJCQkzXJbt26le/fuj72+Rzl69CibN2+mb9++j9VOkyZN0Ov1rFy50k49E0IIIXKOFA1CCCWNGzfmxIkTHDhwgIEDBzJlyhRmzZr12O06OztTpEgRNBpNpsv5+fnh7u7+2Ot7lPnz5/Pyyy9ToECBx26rU6dOzJ8/3w69EkIIIXKWFA1CCCUuLi4UKVKE4sWL06tXL8LDw1m/fj0Ad+/epX///pQoUYKiRYvyyiuvcO7cOctzL1++TKdOnShRogTFihWjVq1abN68GbAenrRr1y4GDRpETEyM5cjG5MmTgbTDk65cuUKXLl0oXrw4QUFB9OzZk6ioKMvjkydPpn79+nz77beEhYURHBxM7969uXfvXobbaDQa+fHHH3nxxRet7g8LC+OTTz6hf//+FC9enGeffZb169dz8+ZNSx/q1q3L77//bvW8F198kd9//52//vpLMXUhhBDCMaRoEELYhZubG4mJiUDy8KXff/+d5cuXs3HjRsxmMx06dLA8/s4775CQkMDPP//Mrl27GDNmDB4eHmnarF69OhMnTsTT05MTJ05w4sQJBg0alGY5k8lEly5duHPnDuvWrWP16tVcvHiR3r17Wy134cIFfv75Z1asWME333zD7t27mTlzZobbdOzYMWJiYqhUqVKax+bNm0eNGjXYsWMHTZs25Y033qB///688sorbN++nRIlStC/f3/MZrPlOcWKFcPf35/ffvstS5kKIYQQuYWTozsghMjbzGYzkZGRbNu2jT59+nDu3DnWr1/P+vXrqVGjBpA8xCc0NJSff/6Z1q1bc+XKFVq2bEn58uUB0j1nAZKHKhUsWBCNRkORIkUy7ENkZCTHjx/n999/p1ixYgDMnTuX2rVrc+jQIapUqQIkFxdz5szB09MTgFdffZXIyEhGjhyZbruXL19Gp9NRuHDhNI89//zz9OjRA0gugr744gsqV65M69atARg8eDAvvPACUVFRVn0PCAjg8uXLGW6LEEIIkRvJkQYhhJKNGzdSvHhxAgMDefXVV2nTpg3vvvsup0+fxsnJiWrVqlmW9fHxoVSpUpw+fRqAvn37MnXqVF588UUmTZrEsWPHHqsvp0+fpmjRopaCAaBcuXJ4eXlZ1glQvHhxS8EAUKRIEW7evJlhu/Hx8bi4uKR7fkVKwQPg7++f4X0Pt+/q6kpcXFxWN00IIYTIFaRoEEIoqVu3LpGRkRw4cICrV68yd+7cdIcYpadbt24cOnSIDh06cOLECRo1apQjJwjr9XqrnzUaTaZToPr4+BAbG4vBYMi0rZSiIr37Hm7/zp07+Pr62t55IYQQwoGkaBBCKPHw8KBkyZIUK1YMJ6f/RjqWKVOGpKQkDhw4YLnv9u3bnD17lrJly1ruK1asGD179mTp0qUMHDiQpUuXprseZ2fnR17boEyZMvz9999cuXLFct/JkyeJjo62WqetQkNDATh16pRyG6nFx8dz4cIFnn32Wbu0J4QQQuQUKRqEEHb19NNP89JLLzFkyBD27NnD0aNH6devH4GBgbz00ksAvP/++2zdupWLFy9y5MgRfvnlF8qUKZNue8WLF+f+/ftERkZy69YtYmNj0yzToEEDypcvT79+/Thy5AgHDx5kwIAB1KlTh8qVKytvi5+fH2FhYezZs0e5jdQOHDiAi4sLzz33nF3aE0IIIXKKFA1CCLubPXs2lSpVomPHjrzwwguYzWa+/fZby/Adk8nE8OHDqVmzJq+88gqlSpXik08+SbetGjVq0LNnT3r37k3p0qX59NNP0yyj0Wj4+uuv8fb2pkWLFrRp04bg4GAWLVr02Nvy2muv2e2CbN9//z3t27fPketLCCGEEPakuX37tvnRiwkhRP4UFxdH9erVWbRoEdWrV1du59atW1SvXp1t27YRHBxsxx4KIYQQ2U+ONAghRCbc3NyYN28et2/ffqx2Ll26xMcffywFgxBCiDxJjjQIIYQQQgghMiVHGoQQQgghhBCZkqJBCCGEEEIIkSkpGoQQQgghhBCZkqJBCCGEEEIIkSkpGoQQQgghhBCZkqJBCCGEEEIIkSkpGoQQQgghhBCZkqJBCCGEEEIIkSkpGoQQQgghhBCZ+n/ZX0LQ4t+N1AAAAABJRU5ErkJggg==", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "k828fj.plots.draw()" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Nozzle Details\n", - "Nozzle Radius: 0.04445 m\n", - "Nozzle Throat Radius: 0.0214376 m\n", - "\n", - "Grain Details\n", - "Number of Grains: 3\n", - "Grain Spacing: 0.003 m\n", - "Grain Density: 782.4 kg/m3\n", - "Grain Outer Radius: 0.042799 m\n", - "Grain Inner Radius: 0.033146999999999996 m\n", - "Grain Height: 0.1524 m\n", - "Grain Volume: 0.000 m3\n", - "Grain Mass: 0.275 kg\n", - "\n", - "Motor Details\n", - "Total Burning Time: 2.43 s\n", - "Total Propellant Mass: 0.824 kg\n", - "Structural Mass Ratio: 0.001\n", - "Average Propellant Exhaust Velocity: 2514.035 m/s\n", - "Average Thrust: 852.260 N\n", - "Maximum Thrust: 1303.79 N at 0.04 s after ignition.\n", - "Total Impulse: 2070.992 Ns\n", - "\n" - ] - }, - { - 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szKnbOSg1CGjqpkZzL+d7eooYioiIiKyJocjOGOcTdQ32hEwmu6eniMNnRERE1sRQZGeO3ayYTwQAPhw+IyIisgmGIjtz9Ho2gLKeIgDw5URrIiIim2AosiNZ+SVI0RYBADo19wAATrQmIiKyEYYiO3K9/MKv/u5quKjK1ifyaVLeU5TPniIiIiJrYiiyIzfKQ1EL7ybiNl839hQRERHZAkORHbmVVRaKmns7i9t8m5SFotyiUhTp9JLURURE5AgYiuxIToEOAODtohK3uTs7QamQAQAyOYRGRERkNQxFdiS3uOyir64aJ3GbTCaDTxMOoREREVkbQ5EdyS0qC0VuGqXJdl7/jIiIyPoYiuxIXlHZ8Jmb2slkO0/LJyIisj5JQ1F8fDxGjRqFoKAgyGQybNq0SbxPp9NhxowZ6NSpE5o0aYKgoCA899xzSE5ONjlGZmYmxo8fD3d3d3h6emLy5MnIy8sz2efEiRPo168fNBoNgoODsWTJElu8vDqr6CkyDUXGniJe6oOIiMh6JA1F+fn56NKlC1asWFHpvoKCAhw9ehRvvfUWjh49ip9++gnnz5/Hn/70J5P9xo8fj9OnTyMuLg6bN29GfHw8pkyZIt6v1WoRHR2NFi1aIDExEf/3f/+Ht99+G6tWrbL666urvCrmFAEVPUW8KCwREZH1ONW+i/UMGzYMw4YNq/I+Dw8PxMXFmWxbvnw5evXqhRs3biAkJARnz57F1q1bcfjwYfTo0QMAsGzZMgwfPhzvv/8+goKCsHbtWpSUlODLL7+ESqVCeHg4kpKS8MEHH5iEJ3tQ3Zwi8VIfPPuMiIjIaiQNRXWVk5MDmUwGT09PAEBCQgI8PT3FQAQAQ4YMgVwux8GDB/HYY48hISEB/fv3h0pVcZp7TEwMFi9ejKysLHh5eVV6nuLiYhQXV/TKaLVaAGVDejqdzqKvyXg8nU6H3PI5RRoFTJ7Hs7znKE1bZPHnd0T3tjnZBtvcttjetsc2tz1z2ryu70eDCUVFRUWYMWMGnn76abi7uwMAUlJS4OfnZ7Kfk5MTvL29kZKSIu7TqlUrk338/f3F+6oKRYsWLcK8efMqbd+2bRtcXFws8noqHzsOuUUKADIc+mMPzldkOFzJlgFQ4NqddGzZssUqz++I7u+JJOtjm9sW29v22Oa2V1ObFxQU1OlYDSIU6XQ6PPnkkxAEAZ988onVn2/mzJmYPn26eFur1SI4OBjR0dFiILMUnU6HuLg49B0wEMKBvQCA0cOjxWufAUCLZC1Wnj2AErkaw4cPsOjzOyJjmw8dOhRKpbL2B9ADY5vbFtvb9tjmtmdOmxtHesxl96HIGIiuX7+OnTt3moSSgIAApKWlmexfWlqKzMxMBAQEiPukpqaa7GO8bdznfmq1Gmq1utJ2pVJptV/2In3ZqtUKuQzuLhrIZDLxvkCvsmuhZRbooFA4QS6XVXkMqhtrvp9UNba5bbG9bY9tbns1tXld3wu7XqfIGIguXryI7du3w8fHx+T+qKgoZGdnIzExUdy2c+dOGAwGREZGivvEx8ebjCvGxcWhffv2VQ6dSSWvfJK1q9rJJBABgFf5ZT/0BgE5hRyvJiIisgZJQ1FeXh6SkpKQlJQEALh69SqSkpJw48YN6HQ6PPHEEzhy5AjWrl0LvV6PlJQUpKSkoKSk7CysDh064NFHH8WLL76IQ4cO4Y8//sDUqVMxbtw4BAUFAQCeeeYZqFQqTJ48GadPn8b69evx0UcfmQyP2QPjJT7uX6MIAFROcng4l6VdLuBIRERkHZIOnx05cgQDBw4UbxuDysSJE/H222/jf//7HwAgIiLC5HG7du3CgAEDAABr167F1KlTMXjwYMjlcowdOxYff/yxuK+Hhwe2bduG2NhYdO/eHb6+vpgzZ47dnY5/b09RVXxdVcgp1CE9rwRt/W1ZGRERkWOQNBQNGDAAgiBUe39N9xl5e3tj3bp1Ne7TuXNn7N27t8712ZJx4UZ3TdXjnz6ualy+m8+eIiIiIiux6zlFjqS6S3wYNeWq1kRERFbFUGQnqrvEh5EPV7UmIiKyKoYiO1FbT5FPk7KeIg6fERERWQdDkZ0Qe4rUVc8p8nUr6ylKz2NPERERkTUwFNmJmk7JB9hTREREZG0MRXYir7aJ1uU9RRnsKSIiIrIKhiI7YW5PEc8+IyIisg6GIjtR25wi49ln+SV6FJbobVYXERGRo2AoshN5RWVBp7oVrV3VTlA7lb1dnFdERERkeQxFdqKktCwUaZRVvyUymQy+rpxsTUREZC0MRXaiuNQAAFA7Kardp5mnMwDgYlqeTWoiIiJyJAxFdqJEXxaKVE7VvyU9W3kBAA5cybBJTURERI6EochOVPQUVf+W9H7IBwBw8EqmWRfLJSIiIvMxFNkBQbgnFFUzpwgAurfwglIhw+3sQtzMLLRVeURERA6BocgO6IWyYATUPKfIReWELs09AQAJV9JtUBkREZHjYCiyA+WdRABqHj4DgKjWZUNoB65kWrMkIiIih8NQZAdK75kepFLU/JYY5xUlXM7gvCIiIiILYiiyA7ryniKVQg65XFbjvt1CvKBSyJGiLcL1jAIbVEdEROQYGIrsgDEU1TZ0BgDOKgUigj0BAAk8NZ+IiMhiGIrsgHFOUU1nnt2rtziviKGIiIjIUhiK7ICufGpQbfOJjHo/5A2A84qIiIgsiaHIDlT0FFV/Ov69uoV4QeUkR1puMa6k51uxMiIiIsfBUGQHSg1lk6vNmVMEABqlAl3L5xVxCI2IiMgyGIrsgPGUfKWZw2dAxXpFCZcZioiIiCyBocgOGKcF1XI2vomo8vWKtp9NxbkUrRWqIiIiciwMRXbAOFVaJjM/FfVs6Y1+bX1RpDPgb98kQluks05xREREDoKhyA4YQ1Fdeorkchk+HtcVzTydcS2jAP/8/jgMBp6JRkREVF8MRXbAOHxWl54iAPBqosInz3aDSiFH3JlUfLLnshWqIyIicgwMRXagPj1FRp2be2L+6HAAwL+3ncfei3ctVxgREZEDYSiyA/WZU3Svcb1C8FSPYBgE4JX/HsPt7ELLFUdEROQgGIrsgDh89gDHmDc6HJ2aeSCrQIe/f5uI4lK9RWojIiJyFAxFdkRez54ioGxBx/+M7wZPFyWO38rBvF/OWLAyIiKixo+hyA4YxInWD3acYG8XLH0qAjIZsO7gDXx/5OaDF0dEROQgGIrsQMVE6wdMRQAGtPfDq0PaAQBmbzqFU7dzHviYREREjoChyI5YIBMBAKYObINBoX4oKTXgb98mIrugxDIHJiIiasQYiuxAfdcpqo5cLsOHT0YgxNsFt7IKMfmrI9h5LhVFOk6+JiIiqo6T1AXQg61TVB0PFyVWPtsdYz/Zj8TrWXh+zRFolHI83MYXgzv4Y3CoH/zcNZZ7QiIiogaOocgOWHJO0b3Cgtzxy8t9sWb/New8m4bknCJsP5uG7WfTAACdm3tgcKg/BnfwQ3iQu8V6qoiIiBoihiI7YIl1iqrTxs8NC8d0gjBawNk7udhxNhXbz6Xh+M1snLiVgxO3cvDh9gsIcNdgUAc/DOnghz6tfaFRKqxQDRERkf1iKLIDD7qitTlkMhnCgtwRFuSOlwe3RVpuEXafu4vtZ1Ox92I6UrRFWHfwBtYdvAGNUo6oh3zQwqcJAjw0CHDXmHxnYCIiosZI0lAUHx+P//u//0NiYiLu3LmDjRs3YsyYMeL9giBg7ty5+Oyzz5CdnY2+ffvik08+Qdu2bcV9MjMz8fLLL+OXX36BXC7H2LFj8dFHH8HV1VXc58SJE4iNjcXhw4fRtGlTvPzyy3jjjTds+VJrZI05RbXxc9PgyZ7BeLJnMIp0eiRcycDOs2nYcTYVyTlF2HX+LoCqr6Pm4axEgLsG/h4aBLiry8OSMwI81PB3LwtP3k1UHI4jIqIGRdJQlJ+fjy5duuD555/H448/Xun+JUuW4OOPP8ZXX32FVq1a4a233kJMTAzOnDkDjaZskvD48eNx584dxMXFQafTYdKkSZgyZQrWrVsHANBqtYiOjsaQIUOwcuVKnDx5Es8//zw8PT0xZcoUm77e6ggWWryxvjRKBQa298PA9n6YPzocZ+/k4sj1TNzJKUJK+Veqtggp2iIUlOiRU6hDTqEO51Nzqz2mSiGHnxiYKnqZ/O+57eeuhtqJvU5ERGQfJA1Fw4YNw7Bhw6q8TxAELF26FLNnz8bo0aMBAF9//TX8/f2xadMmjBs3DmfPnsXWrVtx+PBh9OjRAwCwbNkyDB8+HO+//z6CgoKwdu1alJSU4Msvv4RKpUJ4eDiSkpLwwQcf2E8oKv9u6YnW9XHvMNv9BEFAbnEpUnOKygKTtgipxu/loSklpxjpecUo0RtwK6sQt7JqvjitTxOVGJSMvUzGHqdAD2cEuGvg7uzUIHqd8otL72uTYqSWt41MBni5qMq+mqjg3UQJLxcVvJuoxO8uKkWDeJ1ERI2V3c4punr1KlJSUjBkyBBxm4eHByIjI5GQkIBx48YhISEBnp6eYiACgCFDhkAul+PgwYN47LHHkJCQgP79+0OlUon7xMTEYPHixcjKyoKXl5dNX1dVjD1F9hCKaiKTyeCuUcJdo0Rbf7dq9yspNSAttzwo5RRXhCZjz1N5gCopNSAjvwQZ+SU4c0db7fE0SnnZcN09vUxlock4hKdBUzc1lArrLLtVqjfgbl5xeY9ZsRgAU3OKkJpbJG7PKy59oOdROcnhXUNo8mqigreLCp4uSng3KdvG+V1ERJZjt6EoJSUFAODv72+y3d/fX7wvJSUFfn5+Jvc7OTnB29vbZJ9WrVpVOobxvqpCUXFxMYqLi8XbWm3ZH2ydTgedTvcgL6sSnU4n9hQJgsHix5eCDIC/qxL+rkp0Dqo6PAmCgOxC3T29KcX39K6Ub8stRlaBDkU6A65lFOBaRkH1zykDfMt7nfzLh+383dXlXxr4u5V9d9M4iW1cUlKCnEId0rTFSMmteO40k5/Ler6M16erjavaqeJ5y5/Tz00NmQzIytchq6AEmQVl3423swp0KC41oKTUIAZGczkr5eW9T8rynqh7vjdRwfu+257OSqicbL9mq7HNG8Pvd0PA9rY9trntmdPmdX0/7DYUSWnRokWYN29epe3btm2Di4uLxZ9PKD8ZP+XOHWzZctvix28IXAG0AdBGBcC3/AuAzgDklADZJUBOiaz857LvFbcBgyDD3bwS3M0rwank6p9HLRfgoQIMUOC1g7ugM5jXOyeXCXBXAp4qwENVdgzj93u3qRWlAO4JNToAmWU/egNla8i7ln+VEwSgxADklwL5OiC/VIY8nfG2DHmlFffllcrK9wH0ggyFOgMKc4qQnGN+kNIoBDRxQtmXUoCrE9BECTRxEuCqrLzdxQlQWKgTMy4uzjIHIrOwvW2PbW57NbV5QUH1/5muit2GooCAAABAamoqAgMDxe2pqamIiIgQ90lLSzN5XGlpKTIzM8XHBwQEIDU11WQf423jPvebOXMmpk+fLt7WarUIDg5GdHQ03N0rz7V5EDqdDru+2g4AaNYsCMOHd7bo8R2BwSAgs6Ckcm9TbtnwnbHXKbeoFMUGGdLuyw+ezkr4u6vhV96zY+zp8XOr6HHydlFBbsvTA2shCALyivViT5Ox5ym7UIes/Ht6owrKbmcVlN2nNwgo0stQpAcyigFzV8fycHYy6YnydFGKP3vf30vVRAkPjdKkvXQ6HeLi4jB06FAolUrrNAqJ2N62xza3PXPa3DjSYy67DUWtWrVCQEAAduzYIYYgrVaLgwcP4qWXXgIAREVFITs7G4mJiejevTsAYOfOnTAYDIiMjBT3mTVrFnQ6ndhocXFxaN++fbXzidRqNdRqdaXtSqXSKr/sxpEZhVzOf0z1FKhWIdDLtcZ9CkpKkZJThNuZ+Th06ABGRw9Ac2/XBjsvx1sFeLs5m72/wSAgt6gUmQUlyMwvKQ9P933P1yG7oOJ2dqEOggDkFJYip7AU1zLMey65DPAsD0re5cN2+ZlyZB29g84h3ugQ4A5nVcNs94bEWp9ZVD22ue3V1OZ1fS8kDUV5eXm4dOmSePvq1atISkqCt7c3QkJCMG3aNCxcuBBt27YVT8kPCgoS1zLq0KEDHn30Ubz44otYuXIldDodpk6dinHjxiEoKAgA8Mwzz2DevHmYPHkyZsyYgVOnTuGjjz7Chx9+KMVLrpG9T7Ru6FxUTnioqSuCPdXIPAe08HaBsoEGovqQy2XwcFHCw0WJVr5NzHqM3iAgp1BXFqKqClPGeVL33J9bVAqDAGTml92+fDffWAH2bz5X9pMMaN3UFR2beSA8yB3hQR4IC3KHhzP/mBCRdCQNRUeOHMHAgQPF28Yhq4kTJ2LNmjV44403kJ+fjylTpiA7OxsPP/wwtm7dKq5RBABr167F1KlTMXjwYHHxxo8//li838PDA9u2bUNsbCy6d+8OX19fzJkzx25OxwfuXaeIoYjsi0IuE890M5dOb0B2gc4kRN3NLcTexNMoaeKH08m5SM8rxsW0PFxMy8PGYxXz6EK8XdCxWVlIMoalpm6Ve22JiKxB0lA0YMAACEL1p/XIZDLMnz8f8+fPr3Yfb29vcaHG6nTu3Bl79+6td53WZij/zkxEjYFSIUdTN7VJmNHpdPC4exLDh3eDUqlEmrYIp5JzcPq2FqeSc3Dqtha3swtxI7MANzILsOVkivhYf3c1vJuoIUPZvxGZDJBBVrYCvExWsR1lnxny8vshbivfX172XSYr65X1c1MjyNMZzbyc0czTGUGezgjkZWyIHJrdzilyRHY0j5fIqvzcNRjkrsGg0IolN7ILSnA6WYtTt3PKvifn4Gp6vjhx3lZ8XdVo5qlBMy9nBHk4VwpOXi5K9uoSNVIMRXagoSzeSGRNni4q9G3ji75tfMVt+cWlOJeSi/ziUggoO+tOAAABMAgCBAEm24XyOw0Cyu+7b5/ybTq9gDRtEW5nF+F2diGSswtxO6sQhTo90vPK1qY6fiunyjqdlQoEeWoQ5OmM5lUEJ393jSRrQRHRg2MosgPGAURmIiJTTdRO6N7CNqvOC4KA7AJdRUgq/56cXYRb5T/fzS1GoU6Py3fz75lAbkomA/zdNGJwEnuZPMp+DvJ0hrumYVy6hsjRMBTZAU60JpKeTCaDV/nlVDo286hyn+JSPe5kFyE5u1AMShUBqqzX6d6VyY/eyK7yOK5qp/LhOE2l4blmns7wc1PDyUqXrSGi6jEU2QHjitaMRET2Te2kQEvfJmhZzZIGgiAgPa/EJCzdvi84ZeaXIK+4FOdTc3E+NbfK4yjkMgS4a9DM0xntAlwxsL0f+rT25dpORFbGUGQHOKeIqHGQyWTimXddgj2r3KewRH/P0Fzl4HQnuwilBkHcfuhaJr49cANqJzmiWvtgUKgfBrb3Q7C35S85ROToGIrsgHFOEc8+I2r8nFUKtPFzRRu/qldg1xsEpOcV41ZWIW5lFeDwtUzsOncXt7MLsfv8Xew+fxfAabT1c8WgUD8MaO+HHi29oORwG9EDYyiyAxUTrZmKiBydQi4rvwafBt1beGF0RDMIgoALqXnYdT4NO8+lIfF6lrj45afxV+CmcUL/tk0xMNQPA9o3hYeaAYmoPhiK7EDFRGtp6yAi+ySTydA+wA3tA9zwt0daI6dAh/iLd7HrXBp2X7iLzPwS/HryDn49eQcyGdCpmTuaQYaQ21p0CfG2q4sZE9kzhiI7UDF8xg8uIqqdh4sSo7oEYVSXIOgNAo7fysauc2W9SKeTtThxS4sTUOC3lQfQ1E2NbiGeCA1wR4dAN4QGuCPE24VBiagKDEV2QBw+k7QKImqIFHIZuoV4oVuIF/4Z3R6p2iJsP30H38WfwuV8Je7mFuP306n4/XSq+BgXlQLt/N3EkBQaUPbdw4UX5CXHxlBkD4xnn/F/bkT0gPzdNXiyR3O4pp3A4OiBOJmchzN3tDh3R4tzKbm4kJqLghI9km5mI+lmtsljgzw0aB/ghtDAsqDUIdAdrXybcBI3OQyGIjvAC8ISkTUYT+OPau0jbivVG3AtowDnUrQ4dycX51JycS5Fi1tZhUjOKUJyThF2nb8r7q9SyNHGzxWhgW7oEOCO0PLepXsv+EvUWDAU2YGK4TOmIiKyLqfykNPGzxUjO1ds1xbpcCElF2dTcsVepXN3tMgv0ePMHS3O3NECuC3u7+uqKutVCqjoVWrj5wqNkgtMUsPFUGQPxMUbpS2DiByXu0aJHi290aOlt7jNUL6I5FljSCrvXbqakY/0vBKkX8rAH5cyxP0Vchla+TYRQ1Jo+VBckIeGS45Qg8BQZAd49hkR2SO5XIZgbxcEe7sgOjxA3F5YosfFtFycu5OLs+VB6WyKFtkFOlxKy8OltDxsPnFH3N9d44RxvULwj8Ft0UTNPztkv/jbaQe4ThERNSTOKgU6N/dE5+ae4jZBEJCWW1zRq1T+/VJaHrRFpVgVfwW/nriDeX8Kx5Awf+mKJ6oBQ5Ed4IrWRNTQyWQVK3EPaO8nbi8pNSD+wl28/ctp3MoqxAtfH8Gj4QGY+6cwBHo4S1gxUWU8z9IO8NpnRNRYqZzkGBLmj7hXH8HfHmkNJ7kMW0+nYMi/9+DLfVehNwi1H4TIRhiK7IA4fMazz4iokXJWKfDmsFBsfuVhdAvxRH6JHvM3n8HoFftw8laO1OURAeDwmV1gTxEROYrQAHf88Lc++O/hG1j82zmcuq3F6BX78FxUS/wzuh3cNNWvqi0IArILdLiRWYDrmQW4mVmAGxkFuJFZ9qXTG/DGo6F4ontzG74iakwYiuyAGIqYiojIAcjlMoyPbIHosAAs/PUMfk5Kxpr917D1VApmj+yA8CCPssBj/CoPPjczC5BbXFrjsV//4TjcNU4mZ8sRmYuhyA4IHFInIgfU1E2Nj8Z1xdhuzfHWz6dwPaMAU9cdq/Vx/u5qhHi7IMS7Sdl3H2c093LBtweu4+ekZPzjuySs/2tvk7PjiMzBUGQHuE4RETmy/u2a4vdp/bF85yWs/uMq9IJgGnq8nRHi44IQbxc093KpdtXsrsGeyC7QYc+Fu3h+zRFsiu2D5l4uNn411JAxFNkBzikiIkenUSrwWkx7/DO6HYD6LVHipJBj+TNd8eeVCTiXkovn1xzGhr/1gYdz9fOUiO7Fs8/sABdvJCIqI5PJHmjNNjeNEqsn9YS/uxoXUvPw97WJKCk11P5AIjAU2QUOnxERWU6ghzO+mNgTLioF/riUgVkbT0Lg5E0yA0ORHajoKWIoIiKyhI7NPLDimW6Qy4ANibewfOclqUuiBoChyA6Il/mQtAoiosZlYKgf5o3uCAD4d9wF/Jx0W+KKyN4xFNkRTrQmIrKsCb1b4MV+rQAAr284gYNXMiSuiOwZQ5Ed4PAZEZH1zBzWAY+GB6BEb8CUbxJx+W6e1CWRnWIosgPG8yLYU0REZHlyuQwfPhWBiGBP5BTqMGn1YWTkFUtdFtkhhiI7wp4iIiLrcFYp8PnEHgj2dsaNzAK8+PURFOn0UpdFdoahyA5wnSIiIuvzdVVj9V96wl3jhKM3sjH359NSl0R2hqHIDnCdIiIi22jj54aVz3YHAKw/cpMTr8kEQ5Ed4GU+iIhsp08bXzzdKwQAMHvTKa54TSKGIjsgDp9xpSIiIpuY8Wh7+DRR4WJaHj7fd0XqcshOMBTZAXHxRmYiIiKb8HRRYdaIDgCAj3dcxM3MAokrInvAUGQHjD1FnFNERGQ7j3Vtht4PeaNIZ8Ccn0/x+mjEUGQP2FNERGR7MpkMC8d0glIhw67zd/H76RSpSyKJMRTZAZ59RkQkjTZ+rvjbI60BAG//7wzyikslroikZNehSK/X46233kKrVq3g7OyM1q1bY8GCBSZdnIIgYM6cOQgMDISzszOGDBmCixcvmhwnMzMT48ePh7u7Ozw9PTF58mTk5dnPMu9cp4iISDqxA9sgxNsFKdoifBh3QepySEJ2HYoWL16MTz75BMuXL8fZs2exePFiLFmyBMuWLRP3WbJkCT7++GOsXLkSBw8eRJMmTRATE4OioiJxn/Hjx+P06dOIi4vD5s2bER8fjylTpkjxkqpUMXzGVEREZGsapQLzR4cDAFb/cRWnbudIXBFJxa5D0f79+zF69GiMGDECLVu2xBNPPIHo6GgcOnQIQFkv0dKlSzF79myMHj0anTt3xtdff43k5GRs2rQJAHD27Fls3boVn3/+OSIjI/Hwww9j2bJl+O6775CcnCzhq7tXWRjiOkVERNIY0N4PIzoHwiAAszadgt7ASdeOyEnqAmrSp08frFq1ChcuXEC7du1w/Phx7Nu3Dx988AEA4OrVq0hJScGQIUPEx3h4eCAyMhIJCQkYN24cEhIS4OnpiR49eoj7DBkyBHK5HAcPHsRjjz1W6XmLi4tRXFxxsUCtVgsA0Ol00Ol0Fn2NOp1OHD4z6PUWPz5VZmxjtrXtsM1ti+1dPzNj2mL3+TQcv5mNbxOu4plewWY/lm1ue+a0eV3fD7sORW+++Sa0Wi1CQ0OhUCig1+vxzjvvYPz48QCAlJSyMwX8/f1NHufv7y/el5KSAj8/P5P7nZyc4O3tLe5zv0WLFmHevHmVtm/btg0uLi4P/LruZ4ACAHDs2DEIN/i/E1uJi4uTugSHwza3LbZ33T0aKMOP1xR4b8sZyJNPwl1Vt8ezzW2vpjYvKKjb+lN2HYq+//57rF27FuvWrUN4eDiSkpIwbdo0BAUFYeLEiVZ73pkzZ2L69Oniba1Wi+DgYERHR8Pd3d2iz6XT6bD01E4AQI/u3RAd5l/LI+hB6XQ6xMXFYejQoVAqlVKX4xDY5rbF9q6/GIOA858exKlkLQ7rgvHvMZ3Mehzb3PbMaXPjSI+57DoUvf7663jzzTcxbtw4AECnTp1w/fp1LFq0CBMnTkRAQAAAIDU1FYGBgeLjUlNTERERAQAICAhAWlqayXFLS0uRmZkpPv5+arUaarW60nalUmmVX3bj8JnSyYn/mGzIWu8nVY9tblts77pTAnj38U4YveIP/O/EHYzrFYI+bXzNfzzb3OZqavO6vhd2PdG6oKAAcrlpiQqFAgZD2cX7WrVqhYCAAOzYsUO8X6vV4uDBg4iKigIAREVFITs7G4mJieI+O3fuhMFgQGRkpA1eRe149hkRkf3o3NwTz/VuAaDsgrHFpXqJKyJbsetQNGrUKLzzzjv49ddfce3aNWzcuBEffPCBODlaJpNh2rRpWLhwIf73v//h5MmTeO655xAUFIQxY8YAADp06IBHH30UL774Ig4dOoQ//vgDU6dOxbhx4xAUFCThq6tQcZkPaesgIqIy/4xpj6ZualxJz8ene3jBWEdh16Fo2bJleOKJJ/D3v/8dHTp0wGuvvYa//vWvWLBggbjPG2+8gZdffhlTpkxBz549kZeXh61bt0Kj0Yj7rF27FqGhoRg8eDCGDx+Ohx9+GKtWrZLiJVWJK1oTEdkXd40Sc0aGAQCW77qEa+n5EldEtlCnOUXZ2dnYuHEj9u7di+vXr6OgoABNmzZF165dERMTgz59+li0ODc3NyxduhRLly6tdh+ZTIb58+dj/vz51e7j7e2NdevWWbQ2SxLPN2MmIiKyGyM7B+L7Izex92I65vzvNL5+vpfUJZGVmdVTlJycjBdeeAGBgYFYuHAhCgsLERERgcGDB6N58+bYtWsXhg4dirCwMKxfv97aNTc6FcNnTEVERPZCJpNhweiOUMhliL9wl71FDsCsnqKuXbti4sSJSExMRFhYWJX7FBYWYtOmTVi6dClu3ryJ1157zaKFNmYVw2eSlkFERPdp6dsEfVr7YO/FdPx68g5iB7aRuiSyIrNC0ZkzZ+Dj41PjPs7Oznj66afx9NNPIyMjwyLFOQrxgrAcPyMisjsjOwdi78V0bD7BUNTYmTV8VlsgetD9HR17ioiI7FdMeACc5DKcvaPF5bt5UpdDVmT2ROv4+Hiz9uvfv3+9i3FUnGhNRGS/PF1UeLitL3afv4tfT9zBK4PbSl0SWYnZoWjAgAHV3mdcdFAmk6G0tPSBi3I0nGhNRGTfRnYOwu7zd7H5RDJDUSNm9jpFWVlZVX7dvn0br7/+OtRqNUJDQ61Za6PHUEREZJ+GhvlDpZDjQmoeLqTmSl0OWYnZocjDw8Pky83NDRs2bECvXr3w3//+FytWrMCJEyesWWujZSj/zkxERGSfPJyV6N+u7Bpom0/ckbgaspZ6rWj9008/ISwsDDNmzMA//vEPXLhwAZMmTap0nTIyEy/zQURk90Z0Lrvw+OYTyRAEoZa9qSGqU4rZs2cPevfujQkTJuDxxx/HlStX8Nprr1V5RXkyHy8IS0Rk/4Z08IfKSY4rd/NxLoVDaI2R2aFo+PDhGDp0KCIiInD58mW8++678PDwsGZtDkMMRZJWQURENXHTKDGgXVMAZb1F1PiYHYq2bt0KAFi/fj3CwsLg7e1d5RfVHc8+IyJqGEZ2CQIA/HriDofQGiGzT8lfvXq1NetwaBWLNzIUERHZs8GhftAo5biWUYDTyVp0bMYRk8bE7FA0ceJEa9bh0MTLfDATERHZtSZqJwwK9cOWkyn45UQyQ1EjY9bwGbsIratiorWkZRARkRlGduYQWmNlVigKDw/Hd999h5KSkhr3u3jxIl566SW89957FinOUXD4jIio4RjY3g8uKgVuZRXi+K0cqcshCzJr+GzZsmWYMWMG/v73v2Po0KHo0aMHgoKCoNFokJWVhTNnzmDfvn04ffo0pk6dipdeesnadTcqHD4jImo4nFUKDO7gj1+OJ+PXE8mICPaUuiSyELNC0eDBg3HkyBHs27cP69evx9q1a3H9+nUUFhbC19cXXbt2xXPPPYfx48fDy8vL2jU3OuwpIiJqWEZ0CiwPRXcwc1gHqcshCzF7ojUAPPzww3j44YetVYvDqghFkpZBRERmGtC+KVzVTkjOKcKxm9noHOQqdUlkAbwuhx2omKfHVERE1BBolAoMDfMHwIUcGxOGIjvCniIiooZjRKeya6FtOXkHBgPPQmsMGIrsgKH8O+cUERE1HP3a+cJN44RUbTESb2RLXQ5ZAEORHeDZZ0REDY/aSYHosAAAwJZTKRJXQ5bAUGRH2FNERNSwjOxSNoS29XQqOILW8NU5FCkUCqSlpVXanpGRAYVCYZGiHA17ioiIGqa+rX3h4axEel4JLmv5Id7Q1TkUVbekeXFxMVQq1QMX5IiMc4pkTEVERA2KykmOR8PLhtCOZvAzvKEze52ijz/+GEDZH+7PP/8crq4VazLo9XrEx8cjNDTU8hU6EJ59RkTU8IzsEoj1R27ieIYMpXoDlEqpK6L6MjsUffjhhwDKeopWrlxpMlSmUqnQsmVLrFy50vIVOgBj5xvnFBERNTxRD/nAy0WJrAIdEq5mYlCHQKlLonoyOxRdvXoVADBw4ED89NNPvJyHBRkHJBmJiIgaHieFHMM7BmDtoZv4OuEGQ1EDVuc5Rbt27TIJRHq9HklJScjKyrJoYY5EKI9DnFNERNQwTerTAjII2H0hHadu50hdDtVTnUPRtGnT8MUXXwAoC0T9+/dHt27dEBwcjN27d1u6vkbv3onrzERERA1TCx8XdPMt+zz/z+5LEldD9VXnULRhwwZ06dIFAPDLL7/g2rVrOHfuHF599VXMmjXL4gU2dveua8E5RUREDdeQZmXnEv92KgWX0nIlrobqo86hKCMjAwEB5St4btmCP//5z2jXrh2ef/55nDx50uIFNnb39hTx7DMiooYryAUY2sEPggD8Z9dlqcuheqhzKPL398eZM2eg1+uxdetWDB06FABQUFDAxRvr4d6eIhmnWhMRNWh/f+QhAMDPx5NxI6NA4mqoruociiZNmoQnn3wSHTt2hEwmw5AhQwAABw8e5DpF9XDvUpgyXnSFiKhB69jMHY+0awq9QcAne9hb1NDU+c/w22+/jc8//xxTpkzBH3/8AbVaDaDs8h9vvvmmxQts7EyHz9hTRETU0E0d1AYA8GPiLdzJKZS4GqoLs9cputcTTzxRadvEiRMfuBhHZLj37DMJ6yAiIsvo2dIbka28cfBqJlbFX8HcUeFSl0RmqnMomj9/fo33z5kzp97FOCKBZ58RETU6Uwe1wcEvDuG/h24gdmAb+LqqpS6JzFDnULRx40aT2zqdDlevXoWTkxNat27NUFRHJhOtmYmIiBqFh9v4okuwJ47fzMaX+67ijUc557YhqHMoOnbsWKVtWq0Wf/nLX/DYY49ZpChHwsUbiYgaH5lMhqkD2+DFr4/g64Tr+Gv/1vBw4ZVi7Z1Fzndyd3fHvHnz8NZbb1nicA7l3rPPOHxGRNR4DA71Q2iAG/KKS/FVwjWpyyEzWOwk8JycHOTkWP56L7dv38azzz4LHx8fODs7o1OnTjhy5Ih4vyAImDNnDgIDA+Hs7IwhQ4bg4sWLJsfIzMzE+PHj4e7uDk9PT0yePBl5eXkWr7U+DDz7jIioUZLLZYgdWHYm2pd/XEV+canEFVFt6jx89vHHH5vcFgQBd+7cwTfffINhw4ZZrDAAyMrKQt++fTFw4ED89ttvaNq0KS5evGhyQdolS5bg448/xldffYVWrVrhrbfeQkxMDM6cOQONRgMAGD9+PO7cuYO4uDjodDpMmjQJU6ZMwbp16yxab32YLt5IRESNyfBOgfgw7gKupOdj7cHrmNK/tdQlUQ3qHIo+/PBDk9tyuRxNmzbFxIkTMXPmTIsVBgCLFy9GcHAwVq9eLW5r1aqV+LMgCFi6dClmz56N0aNHAwC+/vpr+Pv7Y9OmTRg3bhzOnj2LrVu34vDhw+jRowcAYNmyZRg+fDjef/99BAUFWbTmOuOcIiKiRkshl+GlAa3x+g8nsCr+Kp6LagmNkld/sFd1DkVXr161Rh1V+t///oeYmBj8+c9/xp49e9CsWTP8/e9/x4svvijWkpKSIq6qDQAeHh6IjIxEQkICxo0bh4SEBHh6eoqBCACGDBkCuVyOgwcPVjk5vLi4GMXFxeJtrVYLoOxMO51OZ9HXWFx+PBmA0lJ2rdqC8T209HtJ1WOb2xbb2/ZqavMRHf2wdLsGt7OL8N+D1/BsZIity2uUzPk9r+u/gTqFIp1OB2dnZyQlJaFjx451eqL6uHLlCj755BNMnz4d//rXv3D48GG88sorUKlUmDhxIlJSUgCUXY/tXv7+/uJ9KSkp8PPzM7nfyckJ3t7e4j73W7RoEebNm1dp+7Zt2+Di4mKJlybKKQHK3gYBW7ZsseixqWZxcXFSl+Bw2Oa2xfa2veravI+XDBuyFfho21m43z0FJ17WyWJq+j0vKKjb9efqFIqUSiVCQkKg1+vr9CT1ZTAY0KNHD7z77rsAgK5du+LUqVNYuXKlVVfQnjlzJqZPny7e1mq1CA4ORnR0NNzd3S36XLcy8oDE/VDI5Rg+PMaix6aq6XQ6xMXFYejQoVAqeYqsLbDNbYvtbXu1tflgnR57PtyHtNxiFAd2wZ+6N5OgysbFnN9z40iPueo8fDZr1iz861//wjfffANvb++6PrxOAgMDERYWZrKtQ4cO+PHHHwEAAQEBAIDU1FQEBgaK+6SmpiIiIkLcJy0tzeQYpaWlyMzMFB9/P7VaLV7T7V5KpdLiHzAKp7K3QCYDP7xszBrvJ9WMbW5bbG/bq67NlUolpvR/CAt/PYtVe6/iyZ4hcFKwu8gSavo9r+vvf53fkeXLlyM+Ph5BQUFo3749unXrZvJlSX379sX58+dNtl24cAEtWrQAUDbpOiAgADt27BDv12q1OHjwIKKiogAAUVFRyM7ORmJiorjPzp07YTAYEBkZadF668N4Sr6Ms6yJiBq1ZyJD4OWixLWMAvx68o7U5VAV6txTNGbMGCuUUbVXX30Vffr0wbvvvosnn3wShw4dwqpVq7Bq1SoAZUFi2rRpWLhwIdq2bSuekh8UFCTW2aFDBzz66KN48cUXsXLlSuh0OkydOhXjxo2T/swzVJx8JmcmIiJq1FxUTni+byv8O+4CVuy6hFGdgyDnh79dqXMomjt3rjXqqFLPnj2xceNGzJw5E/Pnz0erVq2wdOlSjB8/XtznjTfeQH5+PqZMmYLs7Gw8/PDD2Lp1q7hGEQCsXbsWU6dOxeDBgyGXyzF27NhK6y1JxdhTxIUbiYgav+f6tMSq+Cu4kJqHuLOpiAmvehoHSaPOociopKQEaWlpMBgMJttDQix7quHIkSMxcuTIau+XyWSYP38+5s+fX+0+3t7edrFQY1WMPUWMREREjZ+HsxLP9WmBFbsuY/nOS4gO8+f0CTtS5zlFFy5cQL9+/eDs7IwWLVqgVatWaNWqFVq2bGmysCKZRwDnFBEROZLn+7aCs1KBk7dzEH8xXepy6B517imaNGkSnJycsHnzZgQGBvKP+QMydrSxGYmIHIOPqxrPRIbgi31XsXznRTzSrqnUJVG5OoeipKQkJCYmIjQ01Br1OJyKOUUSF0JERDYzpf9D+CbhOg5fy8LBKxmIfMhH6pII9Rg+CwsLQ3o6u/ssxXjlM060JiJyHP7uGvy5R3MAwPJdlySuhozMCkVarVb8Wrx4Md544w3s3r0bGRkZJvfVdeVIKruoLREROZ6/PdIaCrkMey+m4/jNbKnLIZg5fObp6Wkyd0gQBAwePNhkH0EQIJPJbHYJkMaiYp0i9hQRETmSYG8XjIlohh+P3sLyXZfw2XM9an8QWZVZoWjXrl3WrsNhGbh4IxGRw/r7wNb46dgtxJ1JxbkULUIDLHt9Taobs0LRI488gvnz5+O1116z+FXiHR0v80FE5LhaN3XF8E6B+PXEHazYdRnLnu4qdUkOzeyJ1vPmzUNeXp41a3FozERERI4pdkAbAMDmE8m4cpd/Z6VkdijihGDr4GU+iIgcW1iQO4Z08IMgAJ/svix1OQ6tTqfkc4jH8gy8zAcRkcOLHVjWW7Tx2G3cyiqQuBrHVafFG9u1a1drMMrMzHygghyNwMUbiYgcXtcQLzzcxhf7LqXj0z1XsGBMR6lLckh1CkXz5s2Dh4eHtWpxSOIFYdkLR0Tk0GIHtsG+S+lYf+QmXh7UBn7uGqlLcjh1CkXjxo2Dn5+ftWpxSBVnn0lcCBERSar3Q97o0cILR65n4bO9VzBrRJjUJTkcs+cUsSfDOniZDyIiAsr+zsYOKptb9O2BG8jML5G4IsfDs88kxgvCEhGR0YB2TdGxmTsKdXqs/uOq1OU4HLNDkcFg4NCZFVRkTaYiIiJHJ5PJMLX8TLQ1+69BW6STuCLHUqdT8snyBF7mg4iI7hEdFoC2fq7ILSrFNwnXpS7HoTAUSYyLNxIR0b3kcpm4btHne6+goKRU4oocB0ORxMTFG5mJiIio3MjOgQjxdkFWgQ7rDt6QuhyHwVAkMQG8ICwREZlyUsjx9wGtAQCr4q+gSKeXuCLHwFAkMc4pIiKiqjzerTkCPTRIyy3GD4m3pC7HITAUSYyLNxIRUVVUTnL8tf9DAICVey5DpzdIXFHjx1AksYqeIqYiIiIyNa5XCHxdVbiVVYifk5KlLqfRYyiSGHuKiIioOhqlAi/0K+st+s/uS9AbuJCyNTEUSUy8ICwXbyQioio827sFPJyVuHI3H7+duiN1OY0aQ5HEONGaiIhq4qp2wqS+LQEAy3de4mW3rIihSGIVw2dMRUREVLW/9GmJJioFzqXkYsfZNKnLabQYiiTGC8ISEVFtPF1UeDaqBQBg+S72FlkLQ5GdYE8RERHV5IWHH4LaSY6km9n441KG1OU0SgxFEhMv8yFtGUREZOeauqnxdK8QAMDyXRclrqZxYiiSmMDhMyIiMtOU/g9BqZDhwJVMHLmWKXU5jQ5DkcQMXLyRiIjMFOTpjLHdmgMom1tElsVQJDFB4PgZERGZ76UBrSGXAbvP38XJWzlSl9OoMBRJzHj+AHuKiIjIHC18muBPXYIAACvYW2RRDEUS4yn5RERUV7ED2wAAtp5OwYXUXImraTwYiiRm4GU+iIiojtr6uyEm3B8A8MXeqxJX03gwFElMnFLETERERHUwpX/ZhWI3Jt3G3dxiiatpHBiKJFZxSj5TERERma9biBcigj1RUmrANweuS11Oo8BQJDEDe4qIiKgeZDIZXujXCgDw7YHrKNLpJa6o4WtQoei9996DTCbDtGnTxG1FRUWIjY2Fj48PXF1dMXbsWKSmppo87saNGxgxYgRcXFzg5+eH119/HaWlpTauvmoC2FNERET182h4AJp5OiMzvwQbj92WupwGr8GEosOHD+PTTz9F586dTba/+uqr+OWXX7Bhwwbs2bMHycnJePzxx8X79Xo9RowYgZKSEuzfvx9fffUV1qxZgzlz5tj6JVSJPUVERFRfTgo5JvVtCQD4Yt9VGAy8UOyDaBChKC8vD+PHj8dnn30GLy8vcXtOTg6++OILfPDBBxg0aBC6d++O1atXY//+/Thw4AAAYNu2bThz5gy+/fZbREREYNiwYViwYAFWrFiBkpISqV6SyDiniJmIiIjq46mewXBVO+FSWh72XLwrdTkNWoMIRbGxsRgxYgSGDBlisj0xMRE6nc5ke2hoKEJCQpCQkAAASEhIQKdOneDv7y/uExMTA61Wi9OnT9vmBdRA4GU+iIjoAbhplBjXMxgAT89/UE5SF1Cb7777DkePHsXhw4cr3ZeSkgKVSgVPT0+T7f7+/khJSRH3uTcQGe833leV4uJiFBdXnN6o1WoBADqdDjqdrt6vpSq6UuPEOMHix6aqGduZ7W07bHPbYnvbntRt/mxkc6zefw37LqXj5M1MhAa4SVKHLZnT5nV9P+w6FN28eRP/+Mc/EBcXB41GY7PnXbRoEebNm1dp+7Zt2+Di4mLR5zp3RwZAgdSUFGzZssWix6aaxcXFSV2Cw2Gb2xbb2/akbPPOXnIcy5Bjwfd/YHwbg2R12FpNbV5QUFCnY9l1KEpMTERaWhq6desmbtPr9YiPj8fy5cvx+++/o6SkBNnZ2Sa9RampqQgICAAABAQE4NChQybHNZ6dZtznfjNnzsT06dPF21qtFsHBwYiOjoa7u7ulXh4AIHnvFeDaJQQGBmL48C4WPTZVTafTIS4uDkOHDoVSqZS6HIfANrcttrft2UObN+ucgyc+PYhjmQp82G8g/NzUktRhK+a0uXGkx1x2HYoGDx6MkydPmmybNGkSQkNDMWPGDAQHB0OpVGLHjh0YO3YsAOD8+fO4ceMGoqKiAABRUVF45513kJaWBj8/PwBlqdLd3R1hYWFVPq9arYZaXfmXSalUWvyXXSYvm9blpJDzw8vGrPF+Us3Y5rbF9rY9Kdu8Rytf9GjhhSPXs/Dfw7fxWkx7SeqwtZravK7vhV2HIjc3N3Ts2NFkW5MmTeDj4yNunzx5MqZPnw5vb2+4u7vj5ZdfRlRUFHr37g0AiI6ORlhYGCZMmIAlS5YgJSUFs2fPRmxsbJXBx9YMPPuMiIgs5IV+rXDkeha+PXgdsQPbwFmlkLqkBqVBnH1Wkw8//BAjR47E2LFj0b9/fwQEBOCnn34S71coFNi8eTMUCgWioqLw7LPP4rnnnsP8+fMlrLqCeO0zOWMRERE9mKFhAQj2dkZ2gQ4/Hr0ldTkNjl33FFVl9+7dJrc1Gg1WrFiBFStWVPuYFi1a2O0k5opT8qWtg4iIGj6FXIbn+7bCvF/O4Mt9V/FMrxDI+QfGbA2+p6ihqxg+4y8tERE9uCd7BMNN44Qr6fnYdT5N6nIaFIYiibGniIiILKmJ2gnPRIYAAD7be0XiahoWhiKJiT1FDEVERGQhf+nTEnIZcOBKJlJyiqQup8FgKJKYONGaqYiIiCwk0MMZnZp7AgD28npoZmMokpiAslTE4TMiIrKkqId8AABHb2RLW0gDwlAkMYOxp4gTrYmIyIIigj0AAMdvZktbSAPCUCQxTrQmIiJr6BLsCQA4n5qLwhJ9zTsTAIYiyQniRGumIiIispwAdw383NTQGwScuZMjdTkNAkORxMThM2YiIiKyIJlMhs7lk62TbjIUmYOhSGIVE62ZioiIyLI4r6huGIokZuCcIiIishLjvKITt7IlraOhYCiSmHFOERERkaV1buYJALiWUYDsghJpi2kAGIokVnH2GbuKiIjIsjxclGjl2wQAcPwW5xXVhqFIYsbLfDAUERGRNXRpXjav6ATnFdWKoUhiPPuMiIisyTiv6DjnFdWKoUhixhlFDEVERGQN956Wz3msNWMokpjA4TMiIrKi8CB3OMllSM8rRnJOkdTl2DWGIokZ5xQxEhERkTVolAqEBroB4Lyi2jAUSYxnnxERkbV1MQ6hcV5RjRiKJMaJ1kREZG3GUMSVrWvGUCQxXhCWiIiszXgG2qnbWugNnGxdHYYiiRl/NXmZDyIispY2fq5wUSmQV1yKK3fzpC7HbjEUSYyLNxIRkbUp5DJ0bFa2iGMSh9CqxVAkMfZiEhGRLURwEcdaMRRJzdhTxHeCiIisyDjZ+gSvgVYt/imWmIGn5BMRkQ10CS4bPjt7R4sinV7iauwTQ5HEuHgjERHZQjNPZ/g0UUGnF3D2jlbqcuwSQ5HEBHGdIsYiIiKyHplMJp6azyG0qjEUSUzg4o1ERGQjXMSxZgxFEhPAU/KJiMg2OpfPKzpyPUtcPJgqMBRJrGKitbR1EBFR49ezpTeclQrcyCzgekVVYCiSGCdaExGRrbiqnTCsYwAA4IfEWxJXY38YiiTGidZERGRLT3RvDgD43/Fknpp/H4YiiQm8zAcREdlQ74d80MzTGblFpYg7kyp1OXaFoUhiBp59RkRENiSXy/B4t2YAOIR2P4YiiVWcfSZxIURE5DDGdisbQtt78S5StUUSV2M/GIokZuCcIiIisrGWvk3Qs6UXDAKw8dhtqcuxGwxFEhN49hkREUnAOOH6h8RbXLOoHEORxAReEJaIiCQwvFMgNEo5LqXl4Tgv+wGAoUhyXLyRiIik4KZRYljHQADAD4k3Ja7GPjAUSUzgxc+IiEgi4ppFSVyzCLDzULRo0SL07NkTbm5u8PPzw5gxY3D+/HmTfYqKihAbGwsfHx+4urpi7NixSE01XXfhxo0bGDFiBFxcXODn54fXX38dpaWltnwp1TKO4rKniIiIbC3qIR8EeWigLSrF9rNcs8iuQ9GePXsQGxuLAwcOIC4uDjqdDtHR0cjPzxf3efXVV/HLL79gw4YN2LNnD5KTk/H444+L9+v1eowYMQIlJSXYv38/vvrqK6xZswZz5syR4iVVYuDijUREJJGyNYsqJlw7OiepC6jJ1q1bTW6vWbMGfn5+SExMRP/+/ZGTk4MvvvgC69atw6BBgwAAq1evRocOHXDgwAH07t0b27Ztw5kzZ7B9+3b4+/sjIiICCxYswIwZM/D2229DpVJJ8dJE4in5klZBRESOamz35li+6xLiL5StWeTvrpG6JMnYdSi6X05O2ex4b29vAEBiYiJ0Oh2GDBki7hMaGoqQkBAkJCSgd+/eSEhIQKdOneDv7y/uExMTg5deegmnT59G165dKz1PcXExiouLxdtarRYAoNPpoNPpLPqaDAZD+Xe9xY9NVTO2M9vbdtjmtsX2tr2G3ObNPVToHuKJxBvZ+OHIDUzp10rqksxiTpvX9f1oMKHIYDBg2rRp6Nu3Lzp27AgASElJgUqlgqenp8m+/v7+SElJEfe5NxAZ7zfeV5VFixZh3rx5lbZv27YNLi4uD/pSTGRmKQDIcPLECchvH7fosalmcXFxUpfgcNjmtsX2tr2G2uZtnWRIhAJf772AZtqzDercn5ravKCgoE7HajChKDY2FqdOncK+ffus/lwzZ87E9OnTxdtarRbBwcGIjo6Gu7u7RZ9r9c0DQK4WERFdMKxTkEWPTVXT6XSIi4vD0KFDoVQqpS7HIbDNbYvtbXsNvc37FemwackepBYaENylLzo395C6pFqZ0+bGkR5zNYhQNHXqVGzevBnx8fFo3ry5uD0gIAAlJSXIzs426S1KTU1FQECAuM+hQ4dMjmc8O824z/3UajXUanWl7Uql0vK/7OVxXOnk1CD/ITVkVnk/qUZsc9tie9teQ21zb6USj4YHYFNSMjYdT0H3Vr5Sl2S2mtq8ru+FXZ99JggCpk6dio0bN2Lnzp1o1cp0nLN79+5QKpXYsWOHuO38+fO4ceMGoqKiAABRUVE4efIk0tLSxH3i4uLg7u6OsLAw27yQGhjPPmtIXZVERNT4PNE9GADwc9JtFJTYx7I1tmbXoSg2Nhbffvst1q1bBzc3N6SkpCAlJQWFhYUAAA8PD0yePBnTp0/Hrl27kJiYiEmTJiEqKgq9e/cGAERHRyMsLAwTJkzA8ePH8fvvv2P27NmIjY2tsjfI1gReEJaIiOxAVGsfhHi7QFtUilXxV6QuRxJ2HYo++eQT5OTkYMCAAQgMDBS/1q9fL+7z4YcfYuTIkRg7diz69++PgIAA/PTTT+L9CoUCmzdvhkKhQFRUFJ599lk899xzmD9/vhQvqRKBl/kgIiI7oJDL8Maj7QEAn+65gpScIokrsj27nlNkzlV7NRoNVqxYgRUrVlS7T4sWLbBlyxZLlmYx4vCZxHUQERGN6BSINS2u4cj1LCz67Sw+Gld52ZrGzK57ihxBxQVhGYuIiEhaMpkMc0eFQyYDfk5KxsErGVKXZFMMRVITJ1ozFBERkfQ6NffA071CAABz/3capXqDxBXZDkORxMTLfDATERGRnXg9uj08XZQ4l5KLbw5cl7ocm2EokpgA4wVhJS6EiIionFcTFd6ICQUAfLDtAu7mFtfyiMaBoUhinFNERET26KmewejUzAO5xaV477dzUpdjEwxFEjPnDDsiIiJbU8hlmD86HADw49FbSLyeKXFF1sdQJDGBPUVERGSnuoZ44ckeZZfXmvPzaegNjfs/8gxFEjNw8UYiIrJjMx4NhbvGCaeTtVh3sHFPumYokpiBp+QTEZEd83FV47WYspWu/+/388jIa7yTrhmKJGbsiGQmIiIie/VMrxB0CHSHtqgU//f7eanLsRqGIokZJ1pzThEREdkrJ4UcC8onXa8/chNJN7OlLchKGIokJi7eKG0ZRERENerR0huPd20GQQDm/nwKhkY46ZqhSGLsKSIioobizeGhcFM74fitHKw/clPqciyOoUhiAi/zQUREDYSfmwbThrYDACzZeg7ZBSUSV2RZDEUSqzj7TOJCiIiIzPBcVAu083dFVoEO729rXJOuGYokZhyR5fAZERE1BEqFHPP+1BEAsPbgDZy6nSNxRZbDUCQxg8ALwhIRUcMS1doHo7oEQRCAWRtPQqc3SF2SRTAUSUycU8Tzz4iIqAGZNbwD3DRlk66X7bgodTkWwVAkMU60JiKihijAQ4N3H+sEAFi+6xKOXGv4F4xlKJKYgafkExFRAzWqSxAe79oMBgGYtj4J2iKd1CU9EIYiiRnYU0RERA3YvNHhCPZ2xq2sQsz9+bTU5TwQhiKJCWBPERERNVxuGiU+fDICchmw8dht/Jx0W+qS6o2hSGKcU0RERA1dj5bemDqoLQBg9qZTuJVVIHFF9cNQJDEu3khERI3BK4PaoGuIJ3KLSjF9/XHoG+C10RiKJGbsKeLwGRERNWROCjmWPhWBJioFDl3LxMo9l6Uuqc4YiiQm9hRJXAcREdGDauHTBG//KRwA8GHcBRy/mS1tQXXEUCSxijlFjEVERNTwPdG9OUZ0CkSpQcC09UnILy6VuiSzMRRJrOLaZ5KWQUREZBEymQzvPNYRAe4aXE3Px8Jfz0hdktkYiiRWMdGaqYiIiBoHTxcVPniqC2Qy4L+HbmLrqRSpSzILQ5HEKiZaS1sHERGRJfVp7Ysp/R4CALz50wmkaoskrqh2DEUSEoSK0xXZU0RERI3N9Oh2CA9yR3aBDq9tOA6DnZ+mz1AkoXt/NxiJiIiosVE7KfDRuAholHLsvZiO+ZvPoEinl7qsajEUSejeniKuU0RERI1RGz83zBlZdpr+mv3XELM0Hn9cSpe4qqoxFEno3p4izikiIqLG6pnIEKx8tjv83dW4nlGA8Z8fxPTvk5CZXyJ1aSYYiiRkMJlTJGEhREREVvZoxwBsn/4IJka1gEwG/HT0Ngb/ezd+TLxlMnIiJYYiO8GJ1kRE1Ni5aZSYN7ojfnypD0ID3JBVoMM/NxzHs18cxLX0fKnLYyiSksFkTpGEhRAREdlQtxAv/PLyw3jj0fZQO8nxx6UMPPpRPNIkPm3fSdJnd3CmZ58xFRERkeNQKuT4+4A2GNEpELM3nUJzLxf4uWskrYmhSEICe4qIiMjBtfBpgq+f74USvUHqUjh8JiWTniLOKSIiIgclk8mgdlJIXQZDkZQEnn1GRERkNxwqFK1YsQItW7aERqNBZGQkDh06JGk9gsk6RUxFREREUnKYULR+/XpMnz4dc+fOxdGjR9GlSxfExMQgLS1Nspp49hkREZH9cJhQ9MEHH+DFF1/EpEmTEBYWhpUrV8LFxQVffvmlZDVxThEREZH9cIizz0pKSpCYmIiZM2eK2+RyOYYMGYKEhIRK+xcXF6O4uFi8rdVqAQA6nQ46nc5idRmPJYNg0eNSzYxtzTa3Hba5bbG9bY9tbnvmtHld3w+HCEXp6enQ6/Xw9/c32e7v749z585V2n/RokWYN29epe3btm2Di4uLxerKKQGUcgVkAOLi4ix2XDIP29z22Oa2xfa2Pba57dXU5gUFBXU6lkOEorqaOXMmpk+fLt7WarUIDg5GdHQ03N3dLfpcT4zQIS4uDkOHDoVSqbTosalqOh3b3NbY5rbF9rY9trntmdPmxpEeczlEKPL19YVCoUBqaqrJ9tTUVAQEBFTaX61WQ61WV9quVCqt9stuzWNT1djmtsc2ty22t+2xzW2vpjav63vhEBOtVSoVunfvjh07dojbDAYDduzYgaioKAkrIyIiInvhED1FADB9+nRMnDgRPXr0QK9evbB06VLk5+dj0qRJUpdGREREdsBhQtFTTz2Fu3fvYs6cOUhJSUFERAS2bt1aafI1EREROSaHCUUAMHXqVEydOlXqMoiIiMgOOcScIiIiIqLaMBQRERERgaGIiIiICABDEREREREAhiIiIiIiAAxFRERERAAYioiIiIgAMBQRERERAWAoIiIiIgLgYCta15cgCAAArVZr8WPrdDoUFBRAq9Xyyso2wja3Pba5bbG9bY9tbnvmtLnx77bx73htGIrMkJubCwAIDg6WuBIiIiKqq9zcXHh4eNS6n0wwNz45MIPBgOTkZLi5uUEmk1n02FqtFsHBwbh58ybc3d0temyqGtvc9tjmtsX2tj22ue2Z0+aCICA3NxdBQUGQy2ufMcSeIjPI5XI0b97cqs/h7u7Of0g2xja3Pba5bbG9bY9tbnu1tbk5PURGnGhNREREBIYiIiIiIgAMRZJTq9WYO3cu1Gq11KU4DLa57bHNbYvtbXtsc9uzRptzojURERER2FNEREREBIChiIiIiAgAQxERERERAIYiIiIiIgAMRTaxYsUKtGzZEhqNBpGRkTh06FCN+2/YsAGhoaHQaDTo1KkTtmzZYqNKG4+6tPmaNWsgk8lMvjQajQ2rbdji4+MxatQoBAUFQSaTYdOmTbU+Zvfu3ejWrRvUajXatGmDNWvWWL3OxqSubb579+5Kv+MymQwpKSm2KbiBW7RoEXr27Ak3Nzf4+flhzJgxOH/+fK2P42d5/dWnzS3xWc5QZGXr16/H9OnTMXfuXBw9ehRdunRBTEwM0tLSqtx///79ePrppzF58mQcO3YMY8aMwZgxY3Dq1CkbV95w1bXNgbIVUe/cuSN+Xb9+3YYVN2z5+fno0qULVqxYYdb+V69exYgRIzBw4EAkJSVh2rRpeOGFF/D7779budLGo65tbnT+/HmT33M/Pz8rVdi47NmzB7GxsThw4ADi4uKg0+kQHR2N/Pz8ah/Dz/IHU582ByzwWS6QVfXq1UuIjY0Vb+v1eiEoKEhYtGhRlfs/+eSTwogRI0y2RUZGCn/961+tWmdjUtc2X716teDh4WGj6ho3AMLGjRtr3OeNN94QwsPDTbY99dRTQkxMjBUra7zMafNdu3YJAISsrCyb1NTYpaWlCQCEPXv2VLsPP8sty5w2t8RnOXuKrKikpASJiYkYMmSIuE0ul2PIkCFISEio8jEJCQkm+wNATExMtfuTqfq0OQDk5eWhRYsWCA4OxujRo3H69GlblOuQ+DsunYiICAQGBmLo0KH4448/pC6nwcrJyQEAeHt7V7sPf88ty5w2Bx78s5yhyIrS09Oh1+vh7+9vst3f37/asfyUlJQ67U+m6tPm7du3x5dffomff/4Z3377LQwGA/r06YNbt27ZomSHU93vuFarRWFhoURVNW6BgYFYuXIlfvzxR/z4448IDg7GgAEDcPToUalLa3AMBgOmTZuGvn37omPHjtXux89yyzG3zS3xWe5kiYKJGrKoqChERUWJt/v06YMOHTrg008/xYIFCySsjMgy2rdvj/bt24u3+/Tpg8uXL+PDDz/EN998I2FlDU9sbCxOnTqFffv2SV2KwzC3zS3xWc6eIivy9fWFQqFAamqqyfbU1FQEBARU+ZiAgIA67U+m6tPm91MqlejatSsuXbpkjRIdXnW/4+7u7nB2dpaoKsfTq1cv/o7X0dSpU7F582bs2rULzZs3r3FffpZbRl3a/H71+SxnKLIilUqF7t27Y8eOHeI2g8GAHTt2mKTZe0VFRZnsDwBxcXHV7k+m6tPm99Pr9Th58iQCAwOtVaZD4++4fUhKSuLvuJkEQcDUqVOxceNG7Ny5E61atar1Mfw9fzD1afP71euz/IGmaVOtvvvuO0GtVgtr1qwRzpw5I0yZMkXw9PQUUlJSBEEQhAkTJghvvvmmuP8ff/whODk5Ce+//75w9uxZYe7cuYJSqRROnjwp1UtocOra5vPmzRN+//134fLly0JiYqIwbtw4QaPRCKdPn5bqJTQoubm5wrFjx4Rjx44JAIQPPvhAOHbsmHD9+nVBEAThzTffFCZMmCDuf+XKFcHFxUV4/fXXhbNnzworVqwQFAqFsHXrVqleQoNT1zb/8MMPhU2bNgkXL14UTp48KfzjH/8Q5HK5sH37dqleQoPy0ksvCR4eHsLu3buFO3fuiF8FBQXiPvwst6z6tLklPssZimxg2bJlQkhIiKBSqYRevXoJBw4cEO975JFHhIkTJ5rs//333wvt2rUTVCqVEB4eLvz66682rrjhq0ubT5s2TdzX399fGD58uHD06FEJqm6YjKd73/9lbOOJEycKjzzySKXHRERECCqVSnjooYeE1atX27zuhqyubb548WKhdevWgkajEby9vYUBAwYIO3fulKb4BqiqtgZg8nvLz3LLqk+bW+KzXFb+5EREREQOjXOKiIiIiMBQRERERASAoYiIiIgIAEMREREREQCGIiIiIiIADEVEREREABiKiIiIiAAwFBEREREBYCgiogboL3/5C8aMGSPZ80+YMAHvvvuu2funp6fDz88Pt27dsmJVRPSguKI1EdkVmUxW4/1z587Fq6++CkEQ4OnpaZui7nH8+HEMGjQI169fh6urKwDg6tWrmDVrFnbv3o3MzEz4+vqie/fuWLx4MUJDQwEAr732GrKysvDFF1/YvGYiMg9DERHZlZSUFPHn9evXY86cOTh//ry4zdXVVQwjUnjhhRfg5OSElStXAgB0Oh06dOiA9u3b46233kJgYCBu3bqF3377DSNHjkTv3r0BAKdPn0b37t2RnJwMb29vyeonoupx+IyI7EpAQID45eHhAZlMZrLN1dW10vDZgAED8PLLL2PatGnw8vKCv78/PvvsM+Tn52PSpElwc3NDmzZt8Ntvv5k816lTpzBs2DC4urrC398fEyZMQHp6erW16fV6/PDDDxg1apS47fTp07h8+TL+85//oHfv3mjRogX69u2LhQsXioEIAMLDwxEUFISNGzdarrGIyKIYioioUfjqq6/g6+uLQ4cO4eWXX8ZLL72EP//5z+jTpw+OHj2K6OhoTJgwAQUFBQCA7OxsDBo0CF27dsWRI0ewdetWpKam4sknn6z2OU6cOIGcnBz06NFD3Na0aVPI5XL88MMP0Ov1NdbYq1cv7N271zIvmIgsjqGIiBqFLl26YPbs2Wjbti1mzpwJjUYDX19fvPjii2jbti3mzJmDjIwMnDhxAgCwfPlydO3aFe+++y5CQ0PRtWtXfPnll9i1axcuXLhQ5XNcv34dCoUCfn5+4rZmzZrh448/xpw5c+Dl5YVBgwZhwYIFuHLlSqXHBwUF4fr169ZpACJ6YAxFRNQodO7cWfxZoVDAx8cHnTp1Erf5+/sDANLS0gCUTZjetWuXOEfJ1dVVnBR9+fLlKp+jsLAQarW60mTw2NhYpKSkYO3atYiKisKGDRsQHh6OuLg4k/2cnZ3Fnioisj9OUhdARGQJSqXS5LZMJjPZZgwyBoMBAJCXl4dRo0Zh8eLFlY4VGBhY5XP4+vqioKAAJSUlUKlUJve5ublh1KhRGDVqFBYuXIiYmBgsXLgQQ4cOFffJzMxE06ZN6/cCicjqGIqIyCF169YNP/74I1q2bAknJ/M+CiMiIgAAZ86cEX+uikwmQ2hoKPbv32+y/dSpUxgwYEA9KyYia+PwGRE5pNjYWGRmZuLpp5/G4cOHcfnyZfz++++YNGlStROmmzZtim7dumHfvn3itqSkJIwePRo//PADzpw5g0uXLuGLL77Al19+idGjR4v7FRQUIDExEdHR0VZ/bURUPwxFROSQgoKC8Mcff0Cv1yM6OhqdOnXCtGnT4OnpCbm8+o/GF154AWvXrhVvN2/eHC1btsS8efMQGRmJbt264aOPPsK8efMwa9Yscb+ff/4ZISEh6Nevn1VfFxHVHxdvJCKqg8LCQrRv3x7r169HVFSU2Y/r3bs3XnnlFTzzzDNWrI6IHgR7ioiI6sDZ2Rlff/11jYs83i89PR2PP/44nn76aStWRkQPij1FRERERGBPEREREREAhiIiIiIiAAxFRERERAAYioiIiIgAMBQRERERAWAoIiIiIgLAUEREREQEgKGIiIiICABDEREREREA4P8BI2QfN8YD8YkAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "k828fj.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Rocket\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create the `Rocket` object\n" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [], - "source": [ - "bella_lui = Rocket(\n", - " radius=parameters.get(\"radius\")[0],\n", - " mass=parameters.get(\"rocket_mass\")[0],\n", - " inertia=(\n", - " parameters.get(\"inertia_i\")[0],\n", - " parameters.get(\"inertia_i\")[0],\n", - " parameters.get(\"inertia_z\")[0],\n", - " ),\n", - " power_off_drag=0.43,\n", - " power_on_drag=0.43,\n", - " center_of_mass_without_motor=0,\n", - ")\n", - "bella_lui.set_rail_buttons(0.1, -0.5)\n", - "bella_lui.add_motor(motor=k828fj, position=parameters.get(\"distance_rocket_nozzle\")[0])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Adding aerodynamic surfaces\n" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": {}, - "outputs": [], - "source": [ - "nose_cone = bella_lui.add_nose(\n", - " length=parameters.get(\"nose_length\")[0],\n", - " kind=\"tangent\",\n", - " position=parameters.get(\"nose_distance_to_cm\")[0]\n", - " + parameters.get(\"nose_length\")[0],\n", - ")\n", - "fin_set = bella_lui.add_trapezoidal_fins(\n", - " 3,\n", - " span=parameters.get(\"fin_span\")[0],\n", - " root_chord=parameters.get(\"fin_root_chord\")[0],\n", - " tip_chord=parameters.get(\"fin_tip_chord\")[0],\n", - " position=parameters.get(\"fin_distance_to_cm\")[0],\n", - ")\n", - "tail = bella_lui.add_tail(\n", - " top_radius=parameters.get(\"tail_top_radius\")[0],\n", - " bottom_radius=parameters.get(\"tail_bottom_radius\")[0],\n", - " length=parameters.get(\"tail_length\")[0],\n", - " position=parameters.get(\"tail_distance_to_cm\")[0],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Adding Parachute\n" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [], - "source": [ - "Drogue = bella_lui.add_parachute(\n", - " \"Drogue\",\n", - " cd_s=parameters.get(\"CdS_drogue\")[0],\n", - " trigger=\"apogee\",\n", - " sampling_rate=105,\n", - " lag=parameters.get(\"lag_rec\")[0],\n", - " noise=(0, 8.3, 0.5),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Modify the Drag Coefficient curve\n" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": {}, - "outputs": [], - "source": [ - "# Define aerodynamic drag coefficients\n", - "bella_lui.power_off_drag = Function(\n", - " [\n", - " (0.01, 0.51),\n", - " (0.02, 0.46),\n", - " (0.04, 0.43),\n", - " (0.28, 0.43),\n", - " (0.29, 0.44),\n", - " (0.45, 0.44),\n", - " (0.49, 0.46),\n", - " ],\n", - " \"Mach Number\",\n", - " \"Drag Coefficient with Power Off\",\n", - " \"linear\",\n", - " \"constant\",\n", - ")\n", - "bella_lui.power_on_drag = Function(\n", - " [\n", - " (0.01, 0.51),\n", - " (0.02, 0.46),\n", - " (0.04, 0.43),\n", - " (0.28, 0.43),\n", - " (0.29, 0.44),\n", - " (0.45, 0.44),\n", - " (0.49, 0.46),\n", - " ],\n", - " \"Mach Number\",\n", - " \"Drag Coefficient with Power On\",\n", - " \"linear\",\n", - " \"constant\",\n", - ")\n", - "bella_lui.power_off_drag *= parameters.get(\"power_off_drag\")[0]\n", - "bella_lui.power_on_drag *= parameters.get(\"power_on_drag\")[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Inertia Details\n", - "\n", - "Rocket Mass: 18.226 kg (without motor)\n", - "Rocket Dry Mass: 18.227 kg (with unloaded motor)\n", - "Rocket Loaded Mass: 19.051 kg\n", - "Rocket Structural Mass Ratio: 0.957\n", - "Rocket Inertia (with unloaded motor) 11: 0.783 kg*m2\n", - "Rocket Inertia (with unloaded motor) 22: 0.783 kg*m2\n", - "Rocket Inertia (with unloaded motor) 33: 0.064 kg*m2\n", - "Rocket Inertia (with unloaded motor) 12: 0.000 kg*m2\n", - "Rocket Inertia (with unloaded motor) 13: 0.000 kg*m2\n", - "Rocket Inertia (with unloaded motor) 23: 0.000 kg*m2\n", - "\n", - "Geometrical Parameters\n", - "\n", - "Rocket Maximum Radius: 0.078 m\n", - "Rocket Frontal Area: 0.019113 m2\n", - "\n", - "Rocket Distances\n", - "Rocket Center of Dry Mass - Center of Mass without Motor: 0.000 m\n", - "Rocket Center of Dry Mass - Nozzle Exit: 1.136 m\n", - "Rocket Center of Dry Mass - Center of Propellant Mass: 0.836 m\n", - "Rocket Center of Mass - Rocket Loaded Center of Mass: 0.036 m\n", - "\n", - "\n", - "Aerodynamics Lift Coefficient Derivatives\n", - "\n", - "Nose Cone Lift Coefficient Derivative: 2.000/rad\n", - "Fins Lift Coefficient Derivative: 10.281/rad\n", - "Tail Lift Coefficient Derivative: -0.502/rad\n", - "\n", - "Center of Pressure\n", - "\n", - "Nose Cone Center of Pressure position: 1.433 m\n", - "Fins Center of Pressure position: -0.871 m\n", - "Tail Center of Pressure position: -1.110 m\n", - "\n", - "Stability\n", - "\n", - "Center of Mass position (time=0): -0.036 m\n", - "Center of Pressure position (time=0): -0.469 m\n", - "Initial Static Margin (mach=0, time=0): 2.777 c\n", - "Final Static Margin (mach=0, time=burn_out): 3.009 c\n", - "Rocket Center of Mass (time=0) - Center of Pressure (mach=0): 0.433 m\n", - "\n", - "\n", - "Parachute Details\n", - "\n", - "Parachute Drogue with a cd_s of 0.7854 m2\n", - "Ejection signal trigger: At Apogee\n", - "Ejection system refresh rate: 105.000 Hz\n", - "Time between ejection signal is triggered and the parachute is fully opened: 1.0 s\n", - "\n" - ] - } - ], - "source": [ - "bella_lui.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n" - ] - } - ], - "source": [ - "# Flight\n", - "test_flight = Flight(\n", - " rocket=bella_lui,\n", - " environment=env,\n", - " rail_length=parameters.get(\"rail_length\")[0],\n", - " inclination=parameters.get(\"inclination\")[0],\n", - " heading=parameters.get(\"heading\")[0],\n", - " equations_of_motion=\"solid_propulsion\",\n", - " simulation_mode=\"3 DOF\"\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Initial Conditions\n", - "\n", - "Initial time: 0.000 s\n", - "Position - x: 0.00 m | y: 0.00 m | z: 407.00 m\n", - "Velocity - Vx: 0.00 m/s | Vy: 0.00 m/s | Vz: 0.00 m/s\n", - "Attitude (quaternions) - e0: 1.000 | e1: -0.006 | e2: 0.006 | e3: 0.000\n", - "Euler Angles - Spin φ : 45.00° | Nutation θ: -1.00° | Precession ψ: -45.00°\n", - "Angular Velocity - ω1: 0.00 rad/s | ω2: 0.00 rad/s | ω3: 0.00 rad/s\n", - "Initial Stability Margin: 2.777 c\n", - "\n", - "\n", - "Surface Wind Conditions\n", - "\n", - "Frontal Surface Wind Speed: 1.23 m/s\n", - "Lateral Surface Wind Speed: 0.26 m/s\n", - "\n", - "\n", - "Launch Rail\n", - "\n", - "Launch Rail Length: 4.2 m\n", - "Launch Rail Inclination: 89.00°\n", - "Launch Rail Heading: 45.00°\n", - "\n", - "\n", - "Rail Departure State\n", - "\n", - "Rail Departure Time: 0.359 s\n", - "Rail Departure Velocity: 16.184 m/s\n", - "Rail Departure Stability Margin: 2.818 c\n", - "Rail Departure Angle of Attack: 4.457°\n", - "Rail Departure Thrust-Weight Ratio: 5.416\n", - "Rail Departure Reynolds Number: 1.691e+05\n", - "\n", - "\n", - "Burn out State\n", - "\n", - "Burn out time: 2.430 s\n", - "Altitude at burn out: 530.013 m (ASL) | 123.013 m (AGL)\n", - "Rocket speed at burn out: 85.175 m/s\n", - "Freestream velocity at burn out: 85.150 m/s\n", - "Mach Number at burn out: 0.251\n", - "Kinetic energy at burn out: 6.612e+04 J\n", - "\n", - "\n", - "Apogee State\n", - "\n", - "Apogee Time: 10.607 s\n", - "Apogee Altitude: 867.740 m (ASL) | 460.740 m (AGL)\n", - "Apogee Freestream Speed: 0.535 m/s\n", - "Apogee X position: 13.540 m\n", - "Apogee Y position: 16.834 m\n", - "Apogee latitude: 47.2136275°\n", - "Apogee longitude: 9.0035154°\n", - "\n", - "\n", - "Parachute Events\n", - "\n", - "Parachute: Drogue\n", - "\tEjection time: 10.610 s\n", - "\tInflation time: 11.610 s\n", - "\tFreestream speed at inflation: 9.833 m/s\n", - "\tAltitude at inflation: 862.810 m (ASL) | 460.740 m (AGL)\n", - "\n", - "\n", - "Impact Conditions\n", - "\n", - "Time of impact: 35.764 s\n", - "X impact: 30.518 m\n", - "Y impact: 46.042 m\n", - "Altitude impact: 407.000 m (ASL) | 0.000 m (AGL) \n", - "Latitude: 47.2138903°\n", - "Longitude: 9.0037403°\n", - "Vertical velocity at impact: -19.574 m/s\n", - "Number of parachutes triggered until impact: 1\n", - "\n", - "\n", - "Stability Margin\n", - "\n", - "Initial Stability Margin: 2.777 c at 0.00 s\n", - "Out of Rail Stability Margin: 2.818 c at 0.36 s\n", - "Maximum Stability Margin: 3.031 c at 2.41 s\n", - "Minimum Stability Margin: 2.777 c at 0.00 s\n", - "\n", - "\n", - "Maximum Values\n", - "\n", - "Maximum Speed: 86.229 m/s at 2.25 s\n", - "Maximum Mach Number: 0.254 Mach at 2.25 s\n", - "Maximum Reynolds Number: 8.912e+05 at 2.25 s\n", - "Maximum Dynamic Pressure: 4.380e+03 Pa at 2.25 s\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "hello\n", - "Maximum Acceleration During Motor Burn: 58.470 m/s² at 0.04 s\n", - "Maximum Gs During Motor Burn: 5.962 g at 0.04 s\n", - "Maximum Acceleration After Motor Burn: -0.000 m/s² at 0.00 s\n", - "Maximum Gs After Motor Burn: -0.000 Gs at 0.00 s\n", - "Maximum Stability Margin: 3.031 c at 2.41 s\n", - "Maximum Upper Rail Button Normal Force: 3.357 N\n", - "Maximum Upper Rail Button Shear Force: 0.700 N\n", - "Maximum Lower Rail Button Normal Force: 0.672 N\n", - "Maximum Lower Rail Button Shear Force: 0.140 N\n", - "\n", - "\n", - "Numerical Integration Settings\n", - "\n", - "Maximum Allowed Flight Time: 600.00 s\n", - "Maximum Allowed Time Step: inf s\n", - "Minimum Allowed Time Step: 0.00e+00 s\n", - "Relative Error Tolerance: 1e-06\n", - "Absolute Error Tolerance: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 1e-06, 1e-06, 1e-06, 1e-06, 0.001, 0.001, 0.001]\n", - "Allow Event Overshoot: True\n", - "Terminate Simulation on Apogee: False\n", - "Number of Time Steps Used: 194\n", - "Number of Derivative Functions Evaluation: 74\n", - "Average Function Evaluations per Time Step: 0.381\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "test_flight.info()\n", - "test_flight.plots.trajectory_3d()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Comparison with the real flight data\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Load the available flight data: altitude above ground level (m), vertical velocity (m/s), time (s)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [], - "source": [ - "flight_data = np.loadtxt(\n", - " \"../../data/rockets/EPFL_Bella_Lui/bella_lui_flight_data_filtered.csv\",\n", - " skiprows=1,\n", - " delimiter=\",\",\n", - " usecols=(2, 3, 4),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Convert to Function objects\n" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [], - "source": [ - "actual_z = Function(\n", - " source=np.column_stack((flight_data[:573, 0], flight_data[:573, 1])),\n", - " inputs=\"Time (s)\",\n", - " outputs=\"Altitude above ground level (m)\",\n", - " interpolation=\"linear\",\n", - " extrapolation=\"zero\",\n", - ")\n", - "\n", - "actual_vz = Function(\n", - " source=np.column_stack((flight_data[:573, 0], flight_data[:573, 2])),\n", - " inputs=\"Time (s)\",\n", - " outputs=\"Vertical velocity (m/s)\",\n", - " interpolation=\"linear\",\n", - " extrapolation=\"zero\",\n", - ")\n", - "\n", - "# the actual acceleration will be calculated as the derivative of the actual velocity\n", - "actual_az = actual_vz.derivative_function()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We may need to filter the acceleration data to reduce the noise\n" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "az_filtered = savgol_filter(x=actual_az.source[:, 1], window_length=51, polyorder=3)\n", - "\n", - "actual_az_filtered = Function(\n", - " source=np.column_stack((actual_az.source[:, 0], az_filtered)),\n", - " inputs=\"Time (s)\",\n", - " outputs=\"Vertical acceleration (m/s^2)\",\n", - " interpolation=\"linear\",\n", - " extrapolation=\"zero\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Function.compare_plots(\n", - " [(actual_az, \"actual\"), (actual_az_filtered, \"filtered\")],\n", - " xlabel=\"Time (s)\",\n", - " ylabel=\"Vertical acceleration (m/s^2)\",\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get the simulated results\n" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [], - "source": [ - "simulated_z = test_flight.z - env.elevation\n", - "simulated_vz = test_flight.vz\n", - "simulated_az = test_flight.az\n", - "simulated_t_final = test_flight.t_final\n", - "simulated_apogee = test_flight.apogee - env.elevation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plots comparison\n" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(actual_z[:, 0], actual_z[:, 1], label=\"Flight data\")\n", - "plt.plot(simulated_z[:, 0], simulated_z[:, 1], label=\"RocketPy\")\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Altitude (m)\")\n", - "plt.ylim(0, round(simulated_apogee, -2))\n", - "plt.xlim(0, round(simulated_t_final, -1))\n", - "plt.legend()\n", - "plt.grid()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(actual_vz[:, 0], actual_vz[:, 1], label=\"Flight data\")\n", - "plt.plot(simulated_vz[:, 0], simulated_vz[:, 1], label=\"RocketPy\")\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Vertical velocity (m/s)\")\n", - "# plt.ylim()\n", - "plt.xlim(0, round(simulated_t_final, -1))\n", - "plt.legend()\n", - "plt.grid()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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v27VrF8OHDycsLIzQ0FCuuuoqDh06VOZrbdiwgejoaOc10TIyMrjvvvuIjo4mLCyM/v37s23bNsBx7bdp06axbds2Zy9R8evBhYaGEhcXR8uWLZk5cyaBgYH8+uuv/P333+j1elJSUkq89uTJk7nqqqvc9W2rERKOylMYjrIKrFhsjjG2suYcxYY5eo7OZJuw29VS9wshhKghqgrm3JIflrzSx6rjQ63a//87d+5k9erVGAyO3zNPPPEEP/30E1999RWbN2+mefPmDB48mHPnzgFw8uRJ+vbti9FoZOnSpWzatIl7770Xq9Va6rmXLl3KwIEDefXVV3nyyScBuOWWW0hLS2PRokVs2rSJrl27cu2113Lu3DlGjx7NY489Rrt27Th9+jSnT59m9OjRZdat0+nQ6/WYzWb69u1L06ZN+eabb5z3WywWvv32W+69994qfX9qmlw+pDyF4aio1yjEqCNAry11WlSIEUUBq13lXJ6ZqDJWtAkhhKgBljx4rZ7zpgaIqKnXfvoUGIIr9ZDffvuNkJAQrFYrJpMJjUbDhx9+SG5uLh9//DFz5sxh6NChAHz++eckJSXx5Zdf8vjjjzNz5kzCw8OZO3cuer0egJYtWwJgL3b5q19++YV77rmHL774whlwVq5cyfr160lLS8NodPzOeuutt1iwYAE//vgjDzzwACEhIeh0OuLi4sqt32w28/bbb5OZmUn//v0BGD9+PLNnz+bxxx8H4Ndff6WgoIBbb721Ut8bT5Oeo3I5frjSC5fxl9VrBKAvdr21NJmULYQQooL69evH1q1bWbduHWPGjGHcuHGMGjWKQ4cOYbFY6NOnj/NcvV7PFVdcwZ49ewDYunUrV111lTMYlWX9+vXccsstfPPNNyV6frZt20ZOTg6RkZGEhIQ4P44cOVLusFxxTz75JCEhIQQFBfHGG2/w+uuvc9111wGOieYHDx5k7dq1gGOI7tZbbyU4uHLB0dOk56g8hV2kl1rGXyQmLID0XDOp2QW0JaxGyhNCCHERfZCjB6eQ3W4nKzubsNBQNJpq7gvQB1X6IcHBwTRv3hyAWbNm0alTJ7788kt69Ohx2ccGBgZe9pxmzZoRGRnJrFmzuO6665xBKicnh/j4eJYvX17qMREREZd93scff5yxY8cSEhJCbGwsinLhmqMxMTGMGDGC2bNn06RJExYtWlTm63g7CUflKRxWy8i3ABARVH46jyqcqH2+MEgJIYTwAEUpObRlt4Pe5jhW3eGoijQaDU8//TRTpkzh4MGDGAwGVq1aRaNGjQDH3J0NGzYwefJkADp27MhXX32FxWIpt/coMjKSn3/+mWuuuYZbb72VH374Ab1eT9euXUlJSUGn09G4ceMyH2swGLDZbGXeFxUV5Qx1Zbnvvvu4/fbbadCgAc2aNSvRA+YrvPunxZMKw1FmniMchQeWH47CAhz3ZRYGKSGEEKKybrnlFrRaLR9//DETJkzg8ccfZ/HixezevZv777+fvLw8xo8fD8BDDz1EVlYWt912Gxs3buTAgQN888037Nu3r8RzxsTEsHTpUvbu3cvtt9+O1WplwIABJCYmMnLkSP7880+OHj3K6tWreeaZZ9i4cSPg2M/oyJEjbN26lbNnz2IyVXzayODBgwkLC+OVV15h3Lhx7vsG1SAJR+UpCkf5FQhHhfdl5ZdeJSCEEEJUhE6n46GHHuLNN9/k1VdfZdSoUdx999107dqVgwcP8scff1CnTh3A0Su0dOlScnJyuPrqq+nWrRuff/55mb1IcXFxLF26lB07dnDnnXdit9tZuHAhffv2Zdy4cbRs2ZLbbruNY8eOERsbC8CoUaMYMmQI/fr1Izo6mu+//77C7dBoNIwdOxabzcY999zjnm9ODZNhtfJcFI4iLhmOdCXOFUIIIS6l+L5BxT311FM89dRTAMyYMYMZM2aU+xwdO3bkjz/+KHXcbrfz0UcfERZ2YQ5sfHx8iV6l0NDQSz6/0Wjkxx9/LHX86NGj5dZT3MmTJxk2bBjx8fEVOt/bSDgqz0XhKOwS4aioVymrQMKREEKI2iszM5MdO3bw3Xff8b///c/T5bhMwlF5ClerVWhYTeYcCSGEENxwww2sX7+eBx98kIEDB3q6HJdJOCpPJeYcOXuOJBwJIYSoxXxx2X5ZZEJ2eVyYkC09R0IIIYTvk3BUnosnZAeVvwlkUXDKLpDVakIIUdPUKl7XTPiOmnqvJRyVR7WjqmqFeo6CDY5rruWZJRwJIURN0Wod//eazbIBb22Rl5cHcMnLpriDzDkqj2oj12zDZnek1EuFo6IL0uZbyt5NVAghhPvpdDqCgoI4c+YMer2+1CVC7HY7ZrOZgoKC6r98iBfxx3arqkpeXh5paWlEREQ4g3F18Zlw9OKLLzJt2rQSx1q1asXevXsBKCgo4LHHHmPu3LmYTCYGDx7MRx995NzQqtJUlZzCYTKdRiFAX/4PWFE4KrA4epuKX2dGCCFE9VAUhfj4eI4cOcKxY8dK3a+qKvn5+QQGBtaq/5f9ud0RERHExcVV++v4TDgCaNeuHX/99Zfztk53ofxHH32U33//nfnz5xMeHs5DDz3ETTfdxKpVq1x7MVUlu3DfopAA3SV/wAINFxKsyWp3hiUhhBDVy2Aw0KJFizKH1iwWC3///Td9+/at9mEYb+Kv7dbr9dXeY1TEp8KRTqcrMzFmZmby5Zdf8t1339G/f38AZs+eTZs2bVi7di29evUq9zlNJlOJa8ZkZWUBYLNZOJ9bAECIUYfFUv5KNG3h5G2ArLwCtJeYvO2titp3qXb6I2m3tLs2qA3tLuuXpt1ux2q1otVqa+yXqjfw13bb7Xbsdnu597vz59unwtGBAweoV68eAQEBJCYmMn36dBo2bMimTZuwWCwMGDDAeW7r1q1p2LAha9asuWQ4mj59eqnhOoC9e3az+vgaQItqymPhwoWXrE2raLGpCgv/+Is6Rpeb6HFJSUmeLsEjpN21i7S7dpF21w5Fk7XdwWfCUc+ePZkzZw6tWrXi9OnTTJs2jauuuoqdO3eSkpKCwWAgIiKixGNiY2NJSUm55PNOnTqVKVOmOG9nZWWRkJBA61YtOR/ZBfZsJz66DsOGXXHJ53luy1KyCqwkXnk1TaODXW6np1gsFpKSkhg4cKBfdcNejrRb2l0bSLul3bVBenq6257LZ8LR0KFDnV937NiRnj170qhRI3744QcCAwNdfl6j0YjRWLqrR6dRyLc6VqqFBRou+wMWaNCSVWDFoio+/cOo1+t9un5XSbtrF2l37SLtrh3c2VafXeMXERFBy5YtOXjwIHFxcZjNZjIyMkqck5qa6vqsdtXu3NQxNODyGTLQuWJNlvMLIYQQvsxnw1FOTg6HDh0iPj6ebt26odfrWbJkifP+ffv2kZycTGJiomsvYL8QjkKMlw9HRSvU8swSjoQQQghf5jPDav/5z38YMWIEjRo14tSpU7zwwgtotVpuv/12wsPDGT9+PFOmTKFu3bqEhYUxadIkEhMTLzkZ+9Ls5JgKw1EFeo6KAlSuSXbJFkIIIXyZz4SjEydOcPvtt5Oenk50dDRXXnkla9euJTo6GoB3330XjUbDqFGjSmwC6TLV7twEMizg8uOYRQEqW8KREEII4dN8JhzNnTv3kvcHBAQwc+ZMZs6c6Z4XVFWyTYWbQFZgWC1Yeo6EEEIIv+Czc46qnd1WqTlHoYXnFPU2CSGEEMI3STgqj81SqTlHRT1HOWYJR0IIIYQvk3BUHpvJOURWkZ6jEOk5EkIIIfyChKPyWM3OZfnFLyxbHlmtJoQQQvgHCUflsZvJLwxHQRUJR4VDbzkSjoQQQgifJuGoPFaTs+co2FCJOUcSjoQQQgifJuGoPFYT+ZaKD6sVrVbLljlHQgghhE+TcFQOm7nA+XVFhtVCZVhNCCGE8AsSjspht+Q7vw7QXT4chQU6dtHOyrdUW01CCCGEqH4Sjsqh5mcCjl4jjUa57PlFlxjJKrCiqmq11iaEEEKI6iPhqByKKQuo2JAaQHhhz5HNrpJbOJFbCCGEEL5HwlE5NCZHz1FFJmMDBOg16LWOHiYZWhNCCCF8l4SjcuhMGYBKkL5i1+ZVFKXY0JqEIyGEEMJXSTgqh0a1EICZIGPFeo7gwqTszDwJR0IIIYSvknB0CRHkVHjOERRbsSZ7HQkhhBA+S8LRJYQruQRWcFgNIKxwryOZcySEEEL4LglHlxBBLsEuDKvJnCMhhBDCd1W8W6QWqq+cwViZYbWiCdn5MqwmhBBC+CrpObqEPtqdlRtWC3ScmynDakIIIYTPknB0CX012wnWV/z8cBlWE0IIIXyehKNy5CtBRCtZ9Dv5yYWDdjscXgGm7DIfc2FYTcKREEII4askHJXjx8gJAHQ9/hVs+dZxcOlL8PX18Pm1kHWq1GNkQrYQQgjh+yo9IXvPnj3MnTuXf/75h2PHjpGXl0d0dDRdunRh8ODBjBo1CqPRWB211qiVAVdhO3+Yh3UL4NdHwG6B1R847jy7D2YNhrsXQGQz52OKlvJnyoRsIYQQwmdVuOdo8+bNDBgwgC5durBy5Up69uzJ5MmTefnll7nrrrtQVZVnnnmGevXq8cYbb2Aymaqz7mpXYLbxrvVmTtUb7AhGvz4Cdis0vgrqNoOMZJg1BFJ2Oh/jnHMkw2pCCCGEz6pwz9GoUaN4/PHH+fHHH4mIiCj3vDVr1vD+++/z9ttv8/TTT7ujRo/It9hQ0bC/95vUW5UKp7eCMRxu+BD0QfDNTZC6A74aDmN/h9h2MqwmhBBC+IEKh6P9+/ej119+6VZiYiKJiYlYLL4dEPLMNgCMgaFw+1xY9T50uAXqNHacMPY3+H+j4ORG+O9EuG+pc0J2jsmK3a6i0Sgeql4IIYQQrqrwsFpFglFVzvc2+RZHOAoyaCEsHoa+Dg26XTghMAJu/x4MoXBqC+xfRGjhnCNVhWyTzDsSQgghfFGlV6vl5+ezcuVKdu/eXeq+goICvv76a7cU5mkF5mLhqDwhMdDjXsfXc+8gYP//MOocvUUy70gIIYTwTZUKR/v376dNmzb07duXDh06cPXVV3P69Gnn/ZmZmYwbN87tRXpCXlHPkfEyI4/d7wUKh8/mj2WCYTEgu2QLIYQQvqpS4ejJJ5+kffv2pKWlsW/fPkJDQ+nTpw/JycnVVZ/HWGwqAEH6y1xbrU5juHkWNB8AwL/sc4knXSZlCyGEED6qUuFo9erVTJ8+naioKJo3b86vv/7K4MGDueqqqzh8+HB11ehRgRW58Gz7m+DOH6FhIoGYeEb/rQyrCSGEED6qUuEoPz8fne7CMJOiKHz88ceMGDGCq6++mv3797u9QE/SahSMugp+ixQFhv0fdjQM167FeHJN9RYnhBBCiGpRqXDUunVrNm7cWOr4hx9+yA033MD111/vtsK8QZBei6JUYjl+XAdWhQ8HoOX+z6qpKiGEEEJUp0qFoxtvvJHvv/++zPs+/PBDbr/9dlRVdUth3qBCQ2oXWR13JzZVoX76GkjdVQ1VCSGEEKI6VSocTZ06lYULF5Z7/0cffYTdbq9yURXx+uuvoygKkydPdh4rKChg4sSJREZGEhISwqhRo0hNTXX5NS65jL8c1rCGLLF3ddzYV/73SgghhBDeqdL7HHmDDRs28Omnn9KxY8cSxx999FF+/fVX5s+fz4oVKzh16hQ33XSTy68TaKj0dXkJMepZaW/vuHF0lcuvLYQQQgjPqPxvf+DAgQO0aNHC3bVUSE5ODnfeeSeff/45r7zyivN4ZmYmX375Jd999x39+/cHYPbs2bRp04a1a9fSq1evMp/PZDKVuEhuVlaW8+tAvabSl0EJMij8bm8LgHp8HdaCPNB6/27hRe309cu+VJa0W9pdG0i7pd21gTvbq6iVnCS0adMmrr/+ek6ePOm2IipjzJgx1K1bl3fffZdrrrmGzp07895777F06VKuvfZazp8/X+LCuI0aNWLy5Mk8+uijZT7fiy++yLRp00odT5j8A21iAvh328oNE65NU5h7SGFrwIOEk8PfLZ/jfLBngqQQQghRW+Tl5XHHHXeQmZlJWFhYlZ6rUj1HS5cuZdSoUcyYMaNKL+qquXPnsnnzZjZs2FDqvpSUFAwGQ4lgBBAbG0tKSkq5zzl16lSmTJnivJ2VlUVCQgIADevFMWxY50rVqNmVyveHtrHH2JFeptX0icnHfvWwSj2HJ1gsFpKSkhg4cKDPXxevMqTd0u7aQNot7a4N0tPT3fZcFQ5HP//8M3fddRfvvPMOd999t9sKqKjjx4/zyCOPkJSUREBAgNue12g0YjQay7wv2Kir9A9WnWBHbSs0vejFarS7fkR77bOOfZB8gF6vr1X/mIpIu2sXaXftIu2uHdzZ1gpPyB49ejTPPPMMDz74oNtevDI2bdpEWloaXbt2RafTodPpWLFiBTNmzECn0xEbG4vZbCYjI6PE41JTU4mLi3PpNV2akB3geMyf9h5gCIXzRyFZNoQUQgghfEWFw1GzZs34888/yc/Pr856ynXttdeyY8cOtm7d6vzo3r07d955p/NrvV7PkiVLnI/Zt28fycnJJCYmuvSarizlDy0MR2dMWmh3g+Pg1m9den0hhBBC1LwKh6OVK1eSl5fHjTfe6JEZ8KGhobRv377ER3BwMJGRkbRv357w8HDGjx/PlClTWLZsGZs2bWLcuHEkJiaWu1LtcgIvd9HZsuo0OsJRjsmK2ukOx8FdC8Cc61INQgghhKhZFQ5HUVFRLFu2DLPZzK233lqdNbns3XffZfjw4YwaNYq+ffsSFxfHzz//7PLzubJDdtGwml2FvLgroE5jMOfA3t9drkMIIYQQNadSm0CGhISwaNEiNBrv2Dty+fLlvPfee87bAQEBzJw5k3PnzpGbm8vPP//s8nwjcG1YLVCvRatxTL7ONtmg1XWOO05tdbkOIYQQQtScSqcco9HI/Pnzq6MWr+NKOFIUhRDn0JoF6jRy3JF53J2lCSGEEKKauNQF5C09R9XNldVqcGFSdnaBFcIbOA5KOBJCCCF8gkspZ/PmzezYscN5+7///S8jR47k6aefxmw2u604T3NlQjbg7DkqGY5OuKssIYQQQlQjl8LRv/71L/bv3w/A4cOHue222wgKCmL+/Pk88cQTbi3Qk1wZVgMIC3BsRJVjskK4Y7dtcs/Apq/cVZoQQgghqolL4Wj//v107twZgPnz59O3b1++++475syZw08//eTO+jzKldVqcGHFWnaBBQLrXLjj14chQ4bXhBBCCG/mUjhSVRW73XFB1r/++othwxzXDktISODs2bPuq87DXO05KjGsdvFlQ05tqWpZQgghhKhGLoWj7t2788orr/DNN9+wYsUKrrvOsVz9yJEjxMbGurVATwrSV21Cdo7J6jgw8pMLd+b5T3gUQggh/JFL4ei9995j8+bNPPTQQzzzzDM0b94cgB9//JHevXu7tUBPCjC4tiovpPhqNYDOt0PRbtkFme4oTQghhBDVpFJdI4cPH6Zp06Z07NixxGq1Iv/3f/+HVuvaUJQ3CnJxKb9zQnZROAIICHN8LsiqallCCCGEqEaV6hrp2LEj7du35+mnn2b9+vWl7g8ICECv17utOE+r8lJ+U7Fr0BkLw5FJwpEQQgjhzSoVjs6ePcv06dNJS0vj+uuvJz4+nvvvv59ff/2VgoKC6qrRIww6jfMyIJUVevGwGkBAuOOzDKsJIYQQXq1S4SggIIARI0bwxRdfcPr0aX766SciIyN58skniYqKYuTIkcyaNYszZ85UV701Jkjv+i7gFy4fIsNqQgghhK9xOQEoikLv3r15/fXX2b17N1u2bOGqq65izpw5NGjQgJkzZ7qzzhpndHFIDcqYkA0yrCaEEEL4CNdmHJehRYsWPPbYYzz22GOkp6dz7tw5dz21R7g63wjKm5Atw2pCCCGEL3A5HJ06dYqVK1eSlpbm3BASHD1KkyZNIjIy0i0Feoqru2ND8U0gi03IlmE1IYQQwie4FI7mzJnDv/71LwwGA5GRkSjFdoEuCke+rio9R0UTsnPNNmx21TGx21jYcyTDakIIIYRXcykcPffcczz//PNMnToVjcb1icverCrhqGjOEUCu2eoYZjOGOg6YskBVS19WRAghhBBewaVkk5eXx2233ea3wQggQO96eDHqtBh0ju+Nc1K2IejCCVb/2vZACCGE8CcupZvx48czf/58d9fiVarScwQQWrScvygc6YuFI3NelZ5bCCGEENXHpWG16dOnM3z4cBYvXkyHDh1K7Yr9zjvvuKU4T6rKhGxwDK2l55rJKdolW6MFrRFsJrDkAb49YV0IIYTwVy6Hoz/++INWrVoBlJqQ7Q8CqtpzVDjvKKv4cn59YLFwJIQQQghv5FI4evvtt5k1axZjx451czneI6iK4Sjk4mE1AEMwFGRIOBJCCCG8mEtzjoxGI3369HF3LV6lKjtkA4QWbgSZfXHPEYAlv0rPLYQQQojq41I4euSRR/jggw/cXYtXCTJUbSWec0K2qdhGkEXhSCZkCyGEEF7LpWG19evXs3TpUn777TfatWtXakL2zz//7JbiPMldc45KDKvpgx2fZVhNCCGE8FouhaOIiAhuuukmd9fiVao65yjI2XNku3DQOawm4UgIIYTwVi6Fo9mzZ7u7Dq8TUMWl/EXhKt9y0YRskHAkhBBCeDH/3eK6iqq6CWTRPkn55jJ6jmTOkRBCCOG1KhyOhgwZwtq1ay97XnZ2Nm+88QYzZ86sUmGeFqBzTzjKKxGOCnfJltVqQgghhNeq8LDaLbfcwqhRowgPD2fEiBF0796devXqERAQwPnz59m9ezcrV65k4cKFXHfddfzf//1fddZd7QKruFot0DmsVlY4yq3ScwshhBCi+lQ4HI0fP5677rqL+fPnM2/ePD777DMyMzMBx67Ybdu2ZfDgwWzYsIE2bdpUW8E1paqXDwkqa1jNID1HQgghhLer1IRso9HIXXfdxV133QVAZmYm+fn5REZGllrO7+sCqzisFlBmz5GsVhNCCCG8nUur1YqEh4cTHh7urlq8SlX3OQoyOL61JSdkF65WkwnZQgghhNfymdVqH3/8MR07diQsLIywsDASExNZtGiR8/6CggImTpxIZGQkISEhjBo1itTUVJdfL0BfHXOO5PIhQgghhLfzmXDUoEEDXn/9dTZt2sTGjRvp378/N9xwA7t27QLg0Ucf5ddff2X+/PmsWLGCU6dOVWmjSkVRqlTvpVeryYRsIYQQwltVaVitJo0YMaLE7VdffZWPP/6YtWvX0qBBA7788ku+++47+vfvDzg2qmzTpg1r166lV69eNV6vc58ji0zIFkIIIXyJz4Sj4mw2G/Pnzyc3N5fExEQ2bdqExWJhwIABznNat25Nw4YNWbNmzSXDkclkwmQyOW9nZWUBYLFYsFgs5T3ssvSKHQCz1U6ByYxWo6AoBnSAasrFWoXnrg5Fba1Km32RtFvaXRtIu6XdtYE721ulcGQ2m0lLS8Nut5c43rBhwyoVVZ4dO3aQmJhIQUEBISEh/PLLL7Rt25atW7diMBiIiIgocX5sbCwpKSmXfM7p06czbdq0UseXLVtGUFCQy7U6RtMc397//r6IAC1EZu/lSiAnM52lCxe6/NzVKSkpydMleIS0u3aRdtcu0u7aIS/PfYudXApHBw4c4N5772X16tUljquqiqIo2Gy2ch5ZNa1atWLr1q1kZmby448/MmbMGFasWFGl55w6dSpTpkxx3s7KyiIhIYF+/foRGRnp8vOqqsoTG5JQVbjqmmuJDjWinIiGgxASaGTYsGFVqtvdLBYLSUlJDBw40O+2ZbgUabe0uzaQdku7a4P09HS3PZdL4Wjs2LHodDp+++034uPjqzx5uaIMBgPNmzcHoFu3bmzYsIH333+f0aNHYzabycjIKNF7lJqaSlxc3CWf02g0YjQaSx3X6/VV/qEK1GvJM9uwqhrHcxkdPVGKzey1P7DuaLcvknbXLtLu2kXaXTu4s60uhaOtW7eyadMmWrdu7bZCXGG32zGZTHTr1g29Xs+SJUsYNWoUAPv27SM5OZnExESP1RdkcISjPIvVcUBrcHy2mT1WkxBCCCEuzaVw1LZtW86ePevuWi5p6tSpDB06lIYNG5Kdnc13333H8uXL+eOPPwgPD2f8+PFMmTKFunXrEhYWxqRJk0hMTPTISrUiRRtJOpfz6wp7qCQcCSGEEF7LpXD0xhtv8MQTT/Daa6/RoUOHUl1ZYWFhbimuuLS0NO655x5Onz5NeHg4HTt25I8//mDgwIEAvPvuu2g0GkaNGoXJZGLw4MF89NFHbq+jMoo2giwoCkfawu+ThCMhhBDCa7kUjoqWzF977bUljlfnhOwvv/zykvcHBAQwc+ZMZs6c6fbXdlWw0fHtzTEVDasV9hxZTaCqUENztYQQQghRcS6Fo2XLlrm7Dr8UFujoKcoqKApHRT1sKthtoPXJbaaEEEIIv+bSb+err77a3XX4pbAAx7c3K79wYypdsVVxNpOEIyGEEMILufzbOSMjgy+//JI9e/YA0K5dO+69917Cw8PdVpyvCy/sOcosCkdFq9WgcN5RcM0XJYQQQohLcunCsxs3bqRZs2a8++67nDt3jnPnzvHOO+/QrFkzNm/e7O4afdaFYbXCcKTRAYXzjKwyKVsIIYTwRi71HD366KNcf/31fP755+h0jqewWq3cd999TJ48mb///tutRfqqsIDCcJRfOOdIURy9RzaTrFgTQgghvJRL4Wjjxo0lghGATqfjiSeeoHv37m4rzteVGlYDx7wjCUdCCCGE13JpWC0sLIzk5ORSx48fP05oaGiVi/IXYYGFE7ILioUj2etICCGE8GouhaPRo0czfvx45s2bx/Hjxzl+/Dhz587lvvvu4/bbb3d3jT6rqOcoq3jPUfG9joQQQgjhdVwaVnvrrbdQFIV77rkHq9Uxn0av1zNhwgRef/11txboyy7MOSqr58hSxiOEEEII4WkuhSODwcD777/P9OnTOXToEADNmjUjKCjIrcX5ulKbQEKx66tJz5EQQgjhjaq0C2FQUBAdOnRwVy1+p2hYLcdkxWqzo9NqLux1JHOOhBBCCK9U4XB00003MWfOHMLCwrjpppsuee7PP/9c5cL8QWjAhW9vdoGVOsGGC+FI9jkSQgghvFKFw1F4eDhK4YVSw8LCnF+L8um1GoIMWvLMNrIKLCXDkfQcCSGEEF6pwuFo9uzZzq/nzJlTHbX4pfBAPXlmGxl5FhpFAjoJR0IIIYQ3c2kpf//+/cnIyCh1PCsri/79+1e1Jr8SGxYAwOnMfMcB6TkSQgghvJpL4Wj58uWYzaV/uRcUFPDPP/9UuSh/0qBOIADHzxWFI9nnSAghhPBmlVqttn37dufXu3fvJiUlxXnbZrOxePFi6tev777q/EBCXcf2BifO5zkOyD5HQgghhFerVDjq3LkziqKgKEqZw2eBgYF88MEHbivOHyTUcYSj4+cLe45knyMhhBDCq1UqHB05cgRVVWnatCnr168nOjraeZ/BYCAmJgatVuv2In3ZhWG1i3uOZM6REEII4Y0qFY4aNWoEgN1ur5Zi/NGFYbV8VFVFcc45knAkhBBCeKMq7ZC9e/dukpOTS03Ovv7666tUlD+pFxGAokC+xUZ6rpkoWa0mhBBCeDWXwtHhw4e58cYb2bFjB4qioKoqgHNjSJvN5r4KfZxRpyUy2MjZHBOpWQVEyT5HQgghhFdzaSn/I488QpMmTUhLSyMoKIhdu3bx999/0717d5YvX+7mEn1fZLAjEJ3LNYPOse8R1gIPViSEEEKI8rjUc7RmzRqWLl1KVFQUGo0GjUbDlVdeyfTp03n44YfZsmWLu+v0aXVLhKOiOUcSjoQQQghv5FLPkc1mIzQ0FICoqChOnToFOCZs79u3z33V+Ym6IY5wdDbHDDrH6jXZBFIIIYTwTi71HLVv355t27bRpEkTevbsyZtvvonBYOCzzz6jadOm7q7R50U5e45MULew58iS78GKhBBCCFEel8LRs88+S25uLgAvvfQSw4cP56qrriIyMpJ58+a5tUB/UDfYEYjO5ZohpmjOkfQcCSGEEN7IpXA0ePBg59fNmzdn7969nDt3jjp16jhXrIkLiobV0nNkzpEQQgjh7So958hisaDT6di5c2eJ43Xr1pVgVI4Sq9X0RXOOJBwJIYQQ3qjS4Uiv19OwYUPZy6gSImW1mhBCCOEzXFqt9swzz/D0009z7tw5d9fjl8ICHddTyyqwFNvnSOYcCSGEEN7IpTlHH374IQcPHqRevXo0atSI4ODgEvdv3rzZLcX5iyCD42K8eWZbsaX80nMkhBBCeCOXwtHIkSPdXIZ/CywMR/kWG6rOgAJgkXAkhBBCeCOXwtELL7zg7jr8WpDB8W1WVTCpBgJAhtWEEEIIL+XSnCOAjIwMvvjiC6ZOneqce7R582ZOnjzptuKKmz59Oj169CA0NJSYmBhGjhxZajfugoICJk6cSGRkJCEhIYwaNYrU1NRqqacyAvVa59f5qmP+kQyrCSGEEN7JpXC0fft2WrZsyRtvvMFbb71FRkYGAD///DNTp051Z31OK1asYOLEiaxdu5akpCQsFguDBg1ybkYJ8Oijj/Lrr78yf/58VqxYwalTp7jpppuqpZ7K0GoUjDrHtzrPXthZZzOB3e7BqoQQQghRFpeG1aZMmcLYsWN58803nddYAxg2bBh33HGH24orbvHixSVuz5kzh5iYGDZt2kTfvn3JzMzkyy+/5LvvvqN///4AzJ49mzZt2rB27Vp69epVLXVVVJBBi8lqJ6+o5wgcAUkT6LmihBBCCFGKS+Fow4YNfPrpp6WO169fn5SUlCoXVRGZmZmAY/NJgE2bNmGxWBgwYIDznNatW9OwYUPWrFlTbjgymUyYTBfm/2RlZQGOzS4tFovb6g3UazmPhSzzhWOW/BxcfAvcrqit7myzL5B2S7trA2m3tLs2cGd7XfrNbDQanSGiuP379xMdHV3loi7HbrczefJk+vTpQ/v27QFISUnBYDAQERFR4tzY2NhLBrbp06czbdq0UseXLVtGUFCQ22q2mbWAwrJVG+iCBg12lv75OwX6Om57DXdISkrydAkeIe2uXaTdtYu0u3bIy8tz23O5FI6uv/56XnrpJX744QcAFEUhOTmZJ598klGjRrmtuPJMnDiRnTt3snLlyio/19SpU5kyZYrzdlZWFgkJCfTr14/IyMgqP3+RL5LXknoyiw5du6McDwRLLv379oE6jd32GlVhsVhISkpi4MCB6PX6yz/AT0i7pd21gbRb2l0bpKenu+25XApHb7/9NjfffDMxMTHk5+dz9dVXk5KSQmJiIq+++qrbiivLQw89xG+//cbff/9NgwYNnMfj4uIwm81kZGSU6D1KTU0lLi6u3OczGo0YjcZSx/V6vVt/qIqW85ttoOiMYMlFjw287AfX3e32FdLu2kXaXbtIu2sHd7bVpXAUHh5OUlISK1euZPv27eTk5NC1a9cS833cTVVVJk2axC+//MLy5ctp0qRJifu7deuGXq9nyZIlzt6rffv2kZycTGJiYrXVVVFFu2Tnm22Oi8/mI8v5hRBCCC9UpdnAV155JVdeeaW7armkiRMn8t133/Hf//6X0NBQ5zyi8PBwAgMDCQ8PZ/z48UyZMoW6desSFhbGpEmTSExM9PhKNbjQc5RntsrFZ4UQQggvVuFwNGPGjAo/6cMPP+xSMZfy8ccfA3DNNdeUOD579mzGjh0LwLvvvotGo2HUqFGYTCYGDx7MRx995PZaXFF0CZE8i63YxWclHAkhhBDepsLh6N13363QeYqiVEs4UlX1sucEBAQwc+ZMZs6c6fbXr6oSw2rOcCSXEBFCCCG8TYXD0ZEjR6qzDr/n7DkqHo4s+R6sSAghhBBlcfnaagBms5l9+/ZhtVrdVY/fKrq+miMcFc05kp4jIYQQwtu4FI7y8vIYP348QUFBtGvXjuTkZAAmTZrE66+/7tYC/UWI0dFJl11gkTlHQgghhBdzKRxNnTqVbdu2sXz5cgICApzHBwwYwLx589xWnD+JDXN8n9KyTKCXOUdCCCGEt3JpKf+CBQuYN28evXr1QlEU5/F27dpx6NAhtxXnT+LCHYHodFY+xBaFI5lzJIQQQngbl3qOzpw5Q0xMTKnjubm5JcKSuCCusOcoNdOEqpU5R0IIIYS3cikcde/end9//915uygQffHFF16xG7U3KhpWM9vsFGBwHJQ5R0IIIYTXcWlY7bXXXmPo0KHs3r0bq9XK+++/z+7du1m9ejUrVqxwd41+waDTEBVi4GyOmRyblkAAi4QjIYQQwtu41HN05ZVXsnXrVqxWKx06dODPP/8kJiaGNWvW0K1bN3fX6DeK5h3lWB3L+qXnSAghhPA+Ll9brVmzZnz++efurMXvRYc45hplWwu/7TLnSAghhPA6LvUcLVy4kD/++KPU8T/++INFixZVuSh/VbRLdoFSNOdIVqsJIYQQ3salcPTUU09hs9lKHVdVlaeeeqrKRfmrAF1hOLJLz5EQQgjhrVwKRwcOHKBt27aljrdu3ZqDBw9WuSh/FVDUc6TKajUhhBDCW7kUjsLDwzl8+HCp4wcPHiQ4OLjKRfmrop6jfPSOA9JzJIQQQngdl8LRDTfcwOTJk0vshn3w4EEee+wxrr/+ercV528C9I5vd17RsJpF5hwJIYQQ3salcPTmm28SHBxM69atadKkCU2aNKFNmzZERkby1ltvubtGvxGgL+w5kjlHQgghhNdyaSl/eHg4q1evJikpiW3bthEYGEjHjh3p27evu+vzK0U9R7n2omE1mXMkhBBCeBuX9zlSFIVBgwYxaNAgd9bj1wILe45ybUU9RxKOhBBCCG/j0rDaww8/zIwZM0od//DDD5k8eXJVa/JbRglHQgghhNdzKRz99NNP9OnTp9Tx3r178+OPP1a5KH9VNOco21Z0+RCZcySEEEJ4G5fCUXp6OuHh4aWOh4WFcfbs2SoX5a8CdI5vd7ZV5hwJIYQQ3sqlcNS8eXMWL15c6viiRYto2rRplYvyV0WXD8m2Fn7bbWawl95pXAghhBCe49KE7ClTpvDQQw9x5swZ+vfvD8CSJUt4++23ee+999xZn19xDqtZtRcOWk1gCPJQRUIIIYS4mEvh6N5778VkMvHqq6/y8ssvA9C4cWM+/vhj7rnnHrcW6E+KdsjOshT7tlsLJBwJIYQQXsTlpfwTJkxgwoQJnDlzhsDAQEJCQtxZl19y7nNkAzQ6sFtl3pEQQgjhZVwOR0Wio6PdUUetUDSsVmCxQWAAmHMkHAkhhBBexuVw9OOPP/LDDz+QnJyM2Wwucd/mzZurXJg/uhCO7KihRhRzjiznF0IIIbyMS6vVZsyYwbhx44iNjWXLli1cccUVREZGcvjwYYYOHeruGv1G0bAaALoAx2e5+KwQQgjhVVwKRx999BGfffYZH3zwAQaDgSeeeIKkpCQefvhhMjMz3V2j3yjqOQKwa42OL6TnSAghhPAqLoWj5ORkevfuDUBgYCDZ2dkA3H333Xz//ffuq87P6LUatBoFKB6OZM6REEII4U1cCkdxcXGcO3cOgIYNG7J27VoAjhw5gqqq7qvOD0UEOnbHtijScySEEEJ4I5fCUf/+/fnf//4HwLhx43j00UcZOHAgo0eP5sYbb3Rrgf4mNswx18hE0SVEZM6REEII4U1cWq322WefYbfbAZg4cSKRkZGsXr2a66+/nn/9619uLdDfxIUHsPt0FgVqUTiSniMhhBDCm7gUjjQaDRrNhU6n2267jdtuu81tRfmzop6jXLtcfFYIIYTwRi4Nq3nK33//zYgRI6hXrx6KorBgwYIS96uqyvPPP098fDyBgYEMGDCAAwcOeKbYcsQVhSNb4co1i4QjIYQQwpv4VDjKzc2lU6dOzJw5s8z733zzTWbMmMEnn3zCunXrCA4OZvDgwRQUeE8AiQt3TMTOKrr4rPQcCSGEEF6lypcPqUlDhw4td5NJVVV57733ePbZZ7nhhhsA+Prrr4mNjWXBggVeM+wXFx4IQJalKBzJnCMhhBDCm/hUOLqUI0eOkJKSwoABA5zHwsPD6dmzJ2vWrCk3HJlMJkymCwElKysLAIvFgsVicXudUUGOUHTe7PhsM+dir4bXqayitlZHm72ZtFvaXRtIu6XdtYE72+s34SglJQWA2NjYEsdjY2Od95Vl+vTpTJs2rdTxZcuWERQU5N4igTwrgM4xrKaDowf2sjN/odtfx1VJSUmeLsEjpN21i7S7dpF21w55eXlue64Kh6MuXbqgKEqFzvWlC89OnTqVKVOmOG9nZWWRkJBAv379iIyMdPvrqarKtK1LMBWuVmucEE/DocPc/jqVZbFYSEpKYuDAgej1ek+XU2Ok3dLu2kDaLe2uDdLT0932XBUORyNHjnTbi1aHuLg4AFJTU4mPj3ceT01NpXPnzuU+zmg0YjQaSx3X6/XV9kMVFxZAQYYBAK3dgtaLfnirs93eTNpdu0i7axdpd+3gzrZWOBy98MILbnvR6tCkSRPi4uJYsmSJMwxlZWWxbt06JkyY4NniLhIbFoApo/BNtMgO2UIIIYQ38ak5Rzk5ORw8eNB5+8iRI2zdupW6devSsGFDJk+ezCuvvEKLFi1o0qQJzz33HPXq1fO6Xq+48IBilw+R1WpCCCGEN3EpHNlsNt59911++OEHkpOTMZvNJe4vuiitu23cuJF+/fo5bxfNFRozZgxz5szhiSeeIDc3lwceeICMjAyuvPJKFi9eTEBAQLXU46q4sADSVMewmuxzJIQQQngXlzaBnDZtGu+88w6jR48mMzOTKVOmcNNNN6HRaHjxxRfdXOIF11xzDaqqlvqYM2cOAIqi8NJLL5GSkkJBQQF//fUXLVu2rLZ6XFU32FCs50jCkRBCCOFNXApH3377LZ9//jmPPfYYOp2O22+/nS+++ILnn3+etWvXurtGvxNs1Ek4EkIIIbyUS+EoJSWFDh06ABASEkJmZiYAw4cP5/fff3dfdX4q2KjFRNGwmsw5EkIIIbyJS+GoQYMGnD59GoBmzZrx559/ArBhw4Yyl8WLkoIMOgpU6TkSQgghvJFL4ejGG29kyZIlAEyaNInnnnuOFi1acM8993Dvvfe6tUB/FGzQXeg5skg4EkIIIbyJS6vVXn/9defXo0ePplGjRqxevZoWLVowYsQItxXnr4KMWqwUXnjWbvVsMUIIIYQowS37HPXq1YtevXq546lqhRCjrlg4ql0XBhRCCCG8nUvDatOnT2fWrFmljs+aNYs33nijykX5uyCD9BwJIYQQ3sqlcPTpp5/SunXrUsfbtWvHJ598UuWi/F2wQYe18Fuv2iQcCSGEEN7E5aX8xS/uWiQ6Otq5ik2UL8ioxaoWjmjKsJoQQgjhVVwKRwkJCaxatarU8VWrVlGvXr0qF+XvDFoNaGRYTQghhPBGLk3Ivv/++5k8eTIWi4X+/fsDsGTJEp544gkee+wxtxbojxRFQW9wLOVXVDvY7aBxKacKIYQQws1cCkePP/446enp/Pvf/3ZedDYgIIAnn3ySqVOnurVAfxVgMELR9XrtVtAYPFqPEEIIIRxcCkeKovDGG2/w3HPPsWfPHgIDA2nRooXsjl0JBmPxcGQBJBwJIYQQ3qBK+xyFhITQo0cPd9VSqxgNxcKQzDsSQgghvEaFw9FNN93EnDlzCAsL46abbrrkuT///HOVC/N3RkOxXjZZzi+EEEJ4jQqHo/DwcBRFASAsLMz5tXBNUIAem6qgVVTpORJCCCG8SIXD0ezZs51fz5kzpzpqqVWCDI5LiGixyl5HosYdTMthdarCELvq6VKEEMLruLR+vH///mRkZJQ6npWV5VzaLy4tuPj11WwSjkT1K7DYmL5wD/fMWs/QD1Yz77CWX3ekeLosIYTwOi5NyF6+fLlzCX9xBQUF/PPPP1UuqjYIMWqxOa+vZvNsMcLvfb8+mak/7yh1/O2kA9zQpQF6reyzJYQQRSoVjrZv3+78evfu3aSkXPir02azsXjxYurXr+++6vxYw7pBWJzhSHqORPU4k23ip80neH3R3hLH6wTpOZ9n4XRmAe//dYD/DG7loQqFEML7VCocde7cGUVRUBSlzOGzwMBAPvjgA7cV58+axYQU6zmSCdnCvVRV5Y9dKUz6fgsWm2NeUY/Gdfjinh6EBeqwWCxcNf1PUvMV1h1J93C1QgjhXSoVjo4cOYKqqjRt2pT169cTHR3tvM9gMBATE4NWq3V7kf6oeUyIs+fIZDIh22cKd3ps/jZ+3nzSedug1fDCiHaEB+kBx0auY1vYeGO7jr2ns7HZVbQaWYEqhBBQyXDUqFEjLBYLY8aMITIykkaNGlVXXX4vOsTICcXx7T91Pocm8q0UbnIwLdsZjK5oXJdHB7akc0IEgYaSf7jEBkF4oI7MfCsbj56jZ9NIT5QrhBBep9KzMPV6Pb/88kt11FKrKIqCRlsYjtKzPFyN8BeqqvLRskMADGgTyw8PJpLYLLJUMALQKtC/laP3d+netBqtU4hLUVXZYkJ4lktLVG644QYWLFjg5lJqH63OcQmR1IxcD1ci/MUvW07y8xZHr9HdiZfvjuzZpC4Am5PPV2tdvuZgWjYbj57DarNjk72gaozdrvL8f3fSa/oSXvltN3tTsjiWnsvm5PMSmESNcmkpf4sWLXjppZdYtWoV3bp1Izg4uMT9Dz/8sFuK83dFPUdZuXkerkT4i18Kg9EDfZtydcvoy5wNnRMiANhxMhOLzS5L+oH0HBM3zlxNtsmxUKJ1XChf33sFMWEBHq7Mf5msNg6k5vDJikP8tv00AF+sPMIXK484z3l5ZHvu7iXzD0TNcCkcffnll0RERLBp0yY2bdpU4j5FUSQcVVBRz1FWXr6HKxH+4GBaDmsOOVae3X5Fwwo9pklkEGEBOrIKrOw5nUXHBhHVWKF3O5dr5tdtp/hp8wlnMALYm5LN07/s5Isx3T1Ynf/67O9DfLD0INkFZa/a1ShgV+G5BTtZuP009/dtQv/Wsc77rTY7Ogn1ws1cCkdHjhy5/EnisrR6x8qh7FwJR6Jqsgss3P75Wqx2le6N6tAkKvjyDwI0GoVeTSP5c3cqv20/XavCkaqq/Lk7lb2ns2kRG8JTP20nq/AXtF6r8NYtndAoCpO+38KyfWmczTERFSLrSt3phw3HeW2hYw+uOkF6WseF8diglnRoEI5GUcjIsxBo0DLonRWcyixgzeF09qZk0bNJJCcy8jh+Lp/MfAutYkN5Z3Qn2tULL/H8u09nseK0wkCbncL/boWoEJfCURGz2cyRI0do1qwZOl2VnqpW0usdPUc5+QUerkT4uv9tO8WZbBMN6wbx6d3dKvXYW7on8OfuVH7efIL/DGqFQVc7/gp/768DvL/kQIlj9cIDGNenCUPax5FQNwiAL/45zLYTmczfeIIJ1zTzRKl+xW5X+W59MmsPp7Nop2Mj4Yn9mvHYwFZoLtpOIjrUEUbnT+jNsr1pPLtgJ+fzLCzeVfKyN/tSs7luxkqeva4N913VlKNnc9lw9Bwv/bab7AItOz5aw4d3dKNVXGjNNFL4PJcSTV5eHpMmTeKrr74CYP/+/TRt2pRJkyZRv359nnrqKbcW6a/0hX/K5OYXyD4zwmWqqjJvw3EA7klsRGQlezf6tYomOtTImWwTS/emMqR9fHWU6TUOZsLg91dx+OyFhRAaBSKCDHxwRxe6Napb4vy7ejVi24/b+ezvQ9yd2IgQo/whWBVvJ+1jZuGKSoBm0cFMHtCyVDAqrn5EIHf1akSvppH8vPkE0aFGGtQJIqFuIAathsfmb2NLcgav/L6Hnk0iueOLtSWG6Q6k5TJsxj/cd2UTHh/cSobhxGW59BMydepUtm3bxvLlywkIuDBJccCAAcybN89txfk7vd7xS0yr2jibY/JwNcJXJe1OZfuJTAxaDTd1bVDpx+u0Gm7u5njc3MKQ5S+2JJ/n5d928+yCHTw6bytXTF/GB7t1zmB0c7cGHHptGAdeHcbm5waWCkYAN3apT9PoYM7nWZi1UqYUVMX+1Gw+Xn4hGEUGG/jwjq4VXgjQPCaEJ4a0ZlyfJgxsG0vruDCaRofw84TezqHkER+udAajGzvH0y3KTouYYGx2lU//PkzzZxax40Sm+xsn/IpLfwItWLCAefPm0atXLxTlQtpv164dhw4dusQjRXFK4Wo1nWIjLctErKyGES74eIXj39x9VzWhbrDBpee4tXsCHy8/xN/7z5CaVeDzP4uZ+RYe/GYTaw6XfWmUgW1imDywJa3jwi7bY6vTanh0QEsmfb+Fz/8+zD2JjYgIcu37XNst2pGCXYX+rWN4/7bOaDUKQYaq98QpisJ/BrXi2QU7OJ/nuFbld/f1pEejcBYuPM6wYX34bWcqj87bBsDkeVtIevTqS/ZWidrNpZ6jM2fOEBMTU+p4bm5uibAkLkPjGFbTYSPbJBefFZVntdnZdcqxieit3RNcfp4mUcF0b1QHuwpP/rTdp/f2UVWVp37azprD6Ri0Gvo0j6ROkJ6EuoG8d2tHHmhtY8bojrSrF17hoezrOsTTOi6UbJOVL/7xvt6jAosNi83u6TIuKavAws9bTgAwqG0soQF6twSjItd1jGfL84OY+0Avvrr3Cno3jypx/41dGvDfiX0AOHQml5UHz7rttYX/cSkcde/end9//915uygQffHFFyQmJrqnstqgsOdIi51ck83DxQhfdORsLmarnWCDloaFE4hdNenaFigKLN93hqTdqW6qsOZ9uy6ZRTtT0GsV5j+YyLf39WLjswNZ8Z9+XNchjnZ11ErPOdFoFB65tgXgGHq0elEQef+vA7R/4Q+Gvv8POSYrVpsds9VR35pD6V4xhLTndBaD3vmbY+l51AnSM7Bt7OUf5KJeTSPL3eOrU0IEY3s3BmDO6qPVVoPwfS7F9tdee42hQ4eye/durFYr77//Prt372b16tWsWLHC3TVW2syZM/m///s/UlJS6NSpEx988AFXXHGFp8sqTeP49uuxkmcue48PIS5l92lHr1Hr+LAqDxFc3TKaO65oyLfrkll58AxD2se5o0SXHTmby2M/bOVURgGjeyQwolM9mseElHv+qYx87pm1noNpOQA8OaQ1nQo3uSzqIbJV4W+QAW1jiQw2cDbHxLJ9Z6r1F/ylrDuczubkDNYdSed0RgH7UrMBxz5X7V/4A51GITRAR9+W0fx36ykAejWpQ7dAhaEe2mX65d92k5JVQMO6QXx0Z9dKLxpwp3sSGzFn9VGW7k3j5o9X8/0DvbDZVQL01XvR9Mw8C4fO5tC5QQQ5ZiuqCiFGnSzE8VKV+vNp586dAFx55ZVs3boVq9VKhw4d+PPPP4mJiWHNmjV061a5ZcTuNm/ePKZMmcILL7zA5s2b6dSpE4MHDyYtzQuvHVVsWE16joQriobU2sS7Z4ly0V/c/xw4i92DQ2s2u8r4rzawOTmDlKwC3l9ygAHvrGBtOXOI9qVkc9NHq53BqF+raO7t08StNemLTVz/aPlBj1zO4lh6LvfMWs8bi/eyfN8ZZzDSFfsFa7WrnM+zOIMRwNoj55m5W8vNn64ju6Bmh/B3nMhk9aF0dBqF7x/oRfv64Zd/UDVqGh3CDZ3rAbDx2HlaPLOIzi/9yTdrjlbba+abbYz6ZDU3fbSa5s8spOOLf9Jp2p+0fm4RN360ig+WHOBkhux3500q1XPUsWNHevTowX333cdtt93G559/Xl11ueydd97h/vvvZ9y4cQB88skn/P7778yaNcv7thgo3CHbgJVck/QcicrbmpwBQCc3bd7Yq1kkgXotx9Lz+OTvQ/z7muZued7KWrInlcNncgk16ujZNJK/9jiG+Z7+ZQeLHrkKo87xV76qqny7Lpk3Fu8lu8BKw7pBPDqwBcM6xFfLZNvxVzVhzuqjbEnOYOfJLDo0uMQvelV1fKBeuE3RMYp9Xc6xix6jovLaz5sIsGYRiEqwUUfPxnXo1iiCm7vV5/CZXIxaBbPVxt/7z3AgNYuWsaH0aR7JTxuTWbgjhTMn05nxUz4xYUaW7EnBYlW5plUUMWEBtIgOoXNCuNu/bz8u2UWCksrgNnHUt6fAObc+/UUuCqxWK0GmVDh/BIrtxffewHC6BGcwa3Xh/DErfP6/04Tlt3QGp/JfovKh+Jt/DmM5k0yjom9t0Wc7nDt+mh+P7+Wnv6BrowjGX9mUdvFhlX6NEqwWggtS4Nwh0F1m98s6TUAjWxtcrFLhaMWKFcyePZvHHnuMRx99lJtvvpnx48dz1VVXVVd9lWI2m9m0aRNTp051HtNoNAwYMIA1a9aU+RiTyYTJdGEZfVaW4y9xi8WCxVK9f2FpFD1awKBYyM43V/vrXUrRa3uyBk/w5XZbbHa2n8wAoGO90Eq1obx2B2rh2WGteOa/ux0rs3omYKypTSFVFawFYM7h6IHdtFaSua5ZBBP6BHK+o8Krv24nPz2fpT9sZ2DLCBSbiXUHUzm2+yT3YKVxXS3Xta2L8dQiOG7CbjWDzQQ2M1hNYLegsVnpnX4WzVcfYUcF1QZ2G4pqKwwzjtsXPpc8Fq3a2WgwY9NaCZwNqgbH/aq98Bw7ysW/oN1EAT4FKL6Q8Fjhx9/Qptjh1kVfJAMboC3wXNHjCve9vL/onB3VUe0F04BpRuAQMKN6X+tiemAgwO6SxxVgLDD24tG9vws/3OwB4IGKjCSmAD9W/fX0wACAPZc/1/L4UTCUP1ztS9z5/7iiutA3nJubyw8//MCcOXP4559/aN68OePHj2fMmDHExXlunsKpU6eoX78+q1evLjEx/IknnmDFihWsW7eu1GNefPFFpk2bVur4d999R1BQ1Sa4Xk67E9/R/MxiPrEOZ130bYxs7D2TPIX3O54Db+3QEaRVebWHDXf9wW9TYdomLZkWhX+1ttG2TgX/i1BVdPYC9NYcDLYcDNZc9IWfDbacwuO56K256O356GwFaO0mdPYCdLYCdPaCagsWtY1a2DWhUqyrQgG7qmBXHcdVLiymUXEcLzwTnUalqguPbSqoha+nKKCvsc6JyheuAma7IwvrNKC7zFNU5qfUpoLFrqBRVAyX+B6ogNUONtXx4hpFRa9RXGhN5fzR/n1sWt/euqNIXl4ed9xxB5mZmYSFVa33zaUJ2cHBwYwbN45x48Zx8OBBZs+ezcyZM3nuuecYMmQI//vf/6pUVE2aOnUqU6ZMcd7OysoiISGBfv36ERkZWa2vrVm2Bc4sxoiF2AYNGTasbbW+3qVYLBaSkpIYOHCgc+fu2sCX2/3N2mTYsZfuTaMYfl3l5vpdrt1Lcrbz+84UIhq1YdiVjcGcA9kpKNmnIafwc3Zqsdspjs82s1valqsaycNISHAIAQGBoDOiavRsOZWPSdVhRo9F0WNSddSPCqdjw2jQGR1D1VojaA2O21oDaA2ohZ9tKmzfuYuOHTuj1RtA0YBGC4q22NfFPiuO+1SNxnk702Rn7FdbyLWovH9bZ9rUq+M4H40jBSiFnwFHKFFw/sIu+rrU/ZT5mDlrjvFW0sHCMKMQGaxn4aQrCQ3UX+I5Syv+fudaoMBqI+6ivazOZBVwz6yNHEnPw6jT8OU9XenZpPSmmJejqipz1iTz2qJ9zmNPDWnJ+D6NK/1cVVWZf9+/bDzBs//djV6rsGBCL1rGumce3z1fbmD90fM8PbQV43o3Kvc8BUePz8p9Z3j8px1k5luJDw/gy3u60uISCxHKUpl2D67UM3u39PSy5yS6osqbTDRv3pynn36aRo0aMXXq1BJL/GtaVFQUWq2W1NSSy5BTU1PL7dEyGo0YjaX7O/V6ffX/sjQEOj5hpcBi94pfzjXSbi/ki+3eftIxBNytUaTLtTvbraqQkwrnDsO5I9xdsJHB+j10WX8e/boUKMio+JPqAiGwTrGPCMfnoLqOzwEREBDm6Mo3hIAh2PHZGMKLfxzj641p2NFwdctoZo3tgVLYJaYABzck8+RPF8aBmkUHkzSp4pv5qRYLp04upHOHYehc/J5FAQ1aqCzelcLys+F07OS+660dS8/lQGoO/VrHkJ5r4qcd5zFh4Nnr2tCuXjgJdQOpG+F6j7Zeryc6qOx2J0Tq+WViHybP28ryfWcY99Umnh/Rjrt6Nqzw/nUmq41//b9NLN93xnmsRUwIt1/R2KP/viry7/vOXo1Zvv8sf+1J45WF+/nu/p5V3rdv0Y7TrD96HoChHepV6HswqH092tSLYMzs9Rw+k8vtX2zgizHd6dG48kHVF/9fqwp3trVK4ejvv/9m1qxZ/PTTT2g0Gm699VbGjx/vrtoqzWAw0K1bN5YsWcLIkSMBsNvtLFmyhIceeshjdZXLOSHbQo6sVhOVtLlwMnaXhhGVe2DeOZTTO2l85i80i5bB2X2QtrtEAOoFoAWKL6AxhEBoPITGQVg9x+fQehAWf+F4cDToA11qT3aBha83bcKOBkWBt27pVGqZ8+geDUuEo6eHtfHILsf9WkezeFcKs1YdYXSPhCrtKJ6WVcCMpQfYePQ8e1Mcq8+0hcMpVrtKoF7L8I71iAuv/qGPiCADH9/Zjcfmb2XhjhSeW7CTtYfTmXB1s0uuMrPbHcNw0xfudQajVrGhPDqwBVe2iPaJ69EpisKL17fj7wNnWXM4nVUH07myRdTlH1iOfLON5/7rWOE9tndj54WMKyKhbhA/Pdibe7/awJbkDO76Yh3v39bF49tr1CaV/ok9deoUc+bMYc6cORw8eJDevXszY8YMbr31VoKDg6ujxkqZMmUKY8aMoXv37lxxxRW899575ObmOleveRWto8fKoMg+R6JyzuaYSD6Xh6JA50uFI1MOnN4KJzcVfmyGzOPogE4AJ4qdq2ggPAHqNiHd0IBPdtg5b6zPW/+60XE8oIoraMqhqirvJO1nzaF057yX1U/1d16R/WLXdYzn9+2nualLfa5t45m9hm7q2oBv1h5j58ksPlp2kGk3tHfpeb5bl8yrv+8m11zyj6OiHco7Ngjn5Rva10gwKhJo0DLzjq58+vdh3ly8l9+3n+b37af5z6CWPNS/Ranz07ILuPPzdRw5m4u1sO4v7unOAA/tA1UVDeoEcccVDZmz+igv/rqL/z3Ux+VdvN9J2sfZHDMJdQN55ro2l3/AReoEG/juvl5M+n4zf+1J49/fbuLd0Z25oXN9l+oRlVOpd33o0KH89ddfREVFcc8993DvvffSqlWr6qrNJaNHj+bMmTM8//zzpKSk0LlzZxYvXkxsrBf+Qy3sOTJiKfWfoxCXsqWw16h5dAhhAcW6krNOwZF/4NhKOLEJzuxxrKS6iBqeQKpal+h2V6ON7wAxbSCyBegdv4SNJiufb/0D8uC5sJaEB1Rf1/yGo+f5YOlB5+0H+jYlPrz83qcXhrdlRMd4Brb13F/Req2GqUPbcOcX65i38TgPX9ui0hsbrth/hmcW7EBVoXNCBA/0bUqdIAMdGoRzPtcxd6tBnUCPXJJJURQevLoZ7euFc9eXjoUsb/25n5MZ+Uy/qaPzvMNncrh3zgaOpuc5jw3vGO+TwajIpP7NWbjjNAfTcnhk7lbeHNWROpW8ZuEX/xzm88LLzDw1pE2FL6x7sUCDlk/u6sazC3Yyd8NxHv9xOw3qBNGtUR2Xnk9UXKXCkV6v58cff2T48OFotdW7m2hVPPTQQ945jHaxop4jLLLPkaiULcmOeQxX1lNh50+OQHT0H0g/WPrksPpQvyvU7wb1u0N8R6zaINYtXMiw/sPQljFOH2LUERcWQEpWAXtOZ9GrafUtTviq8DIOVzaPok/zKO64ouElz48JC2BI+/hqq6eiejeLpH39MHaezOKrNceYXHh5kYoM8/1z4Az3ztmAqsIt3RrwxqiOJR7nLcNQV7aI4sj0Yby+eC+frjjM9+uPs/t0Ni+OaEuXhnV4fdFeZzBqEx9GYtNIHhlQunfJl0SGGJlxexfu+HwtSbtT6X90OR/c3rVCQ2yqqjJz2UHe+nM/AE8MacV1Hav2s6rTanjtxg6cyzXz5+5U/vXNRhZM7EODOtW7mrq2q9S/QF9aheYTdI6/0g1YyJNwJCrCbodTm2m243MWGtbQdu8x2FvsfkUD8Z2g8VWQ0NMRiMLK+M+5AvuBJDaL5JctJ1m443S1haOTGfks3pUCwLPD29A6rnqG7qpDUe/KQ99tYeayg8xYcoBgg5axfRrzn0Gtyu3xMVltvPDfXdjsKgPaxPDSDe29+urwiqIwdWgbzuWYmb/pBNuOZ3DjR6vpnBDB1uMZACyY2IfOhZdq8Qe9mkYy4/YuvPPnfg6fzeXerzbw1bgrSGx26X8HRSESYMI1zZhwtXsm62s0Cu+O7swtn6xh9+ks7vtqIz9N6E2wl4RofyTbYnpS0YRsxUqOhCNRHlMO7PkVFkyEt1vCF9cyKncubTXHHPfHtode/4bbvocnjsADy2HQy9BmeNnBqIJGdnHMbfh9++lquZSI3a7yxI/bsNlVejWt61PBqMiw9vEMbhfrnCOUa7Yxc9khftp8sszzT5zP476vNnL4bC5RIUbeHd2ZQIP39sIX9+TQ1tzSrQE9m9RFo+AMRq1iQ/0qGBUZ3rEeCx+5ioFtYzFb7Uz6fjPpOaZyz8/IMzNrpWMobdr17XhySGu3DokGG3V8MaY7USFG9qZk85/52zx6iR9/J7HTkwp7jgIwk1VgJbvAQmg1zu0QPsRqhoN/wfa5sG+xY6fnQhZdCH+Y2rEruDdPTnoIgl1fUXMpvZtFYtBpSM81k3wuj8ZR7l1w8b9tp1h1MJ1AvZZXRro2odnTNBqF92/rwg0frmJfajYGrQazzc5Lv+6id7NI6kU45k4VWGzMWX2UT1cc4nyeo9fuzZs7+NS/96gQI/93SycAjp7N5efNJ8i32LipawMPV1Z9AvRaPrj9wvvb981lfHJ3N65qEY2qqs7ws+NEJl+uPIzFptI6LpQxvRtXSz31IgL59O6u3P7ZOhbtTGHG0gNMHtCyWl6rtpNw5EkGxy+bUI1j8uXBtBy6NJSJdrWWqsKJjY5AtPNnyC92Eao6TaDVUGg5mHFJWlYeyWJil2bVFozAMem4TVwo205ksvNUplvD0T8HzjiXOT/UvznNY9yz4Z4nBOi1/L/7erLmcDpD2sVx8yer2X4ik1Efr2Zwuzja1w9n0Y7TLNnruPh1o8gg/u/mTlzhwgaL3qJxVDBTBnnXYpzqEqDX8vatnRg5cxW5Zht3f7kegLrBBu7q2ZADaTks2pniPP/GLtW7mqxbo7q8MrI9T/y0nff+OkDjyGBnL69wHwlHnlQYjsK0jl6BA6kSjmqlc0dg+w+wfZ7jQpFFQmKhwy3QcTTEdQBFYevxDFYeWYVWo3Bnz/J323WX9vXDHeHoZBbDO17mgpwVtONEJvd9tRGT1U7ruFDGX9nELc/rSdGhRq7v5Pj+fHRnV27+eA2nMwuYUzjZHECnUXiof3PG9m5MRFDlVj8Jz2pfP5zpN3Vgzuqj7Drl2Hz1XK6ZGcVWWV7RpC63dk9w/hxUp1t7JHAgLZvP/znCf+ZvIz48gJ7VuGiiNpJw5El6RzgKwhGO9qdme7IaUZPyzsGuXxyh6PjaC8f1QdBmhCMQNb2m8LIUDmnZBfzrm42AY7l00ZBNdSra+G/nyUy3PJ/VZufJn7Zjstq5plU0n9zVjQC9b8y5qagGdYL436Q+fLriMOdyzew5nYVBp+HRAS3p1zrG0+UJF93SPYFbuidw6EwOS/akkp5j5tt1yeSYrAxqG8v/3dKJ8MCaGyadOrQNKVkmzmabaFPP9+breTsJR55U2HNksDu2IT6anuvJakR1s5rgwJ+wba7jc9F1yBQNNLkaOt0GrYeDsezrKP1v6ylSs0w0jQ7mxRHtaqTkDkXh6FRmiTkW5bHa7MxadQS9VsPtVzTEaledy9JVVWXar7vZfTqLsAAdb9/Sye+CUZGY0ACeG+65ayWK6tMsOoRm0Y5/o1MGtUSrKOhc3MeoKjQahbducew5ZdT5578jT5Jw5EkGxz4VWtWKHlmx5pdUFY6vvzCPqPg1ymI7QKfR0P7mCq0qK1odNKprg0pvSueqFrEh6LUKGXkWTmbkX3ZvlWd+2cm8jccBmPbrbgAC9BqGtItDq9Hw0+YTKAq8eXPHSm+aKIS38XQo8fTr+zMJR56kvzDBNZAC8mWXbP+Rfsgxh2j7PDh/9MLx0HjHPKJOt0Fs5Xp/isJRTS6bNuq0tIoLZefJLHaezLxkODqQms0Pm46XOl5gsbNg6ynn7Weva+sVmzgKIUR5JBx5ks4AGj3YLQRjIk/CkW9TVdj2PWycBSc2XDhuCIE210PHW6FJ3xLziCoqLauAE+fzURTH9bZqUof6Eew8mcWmY+fLDTUmq40H/98mVBUGtInlwzu6cDAth63HM9h6PIPUrALqBhu4pVtClS7mKYQQNUHCkacZgqEggyClQMKRr0vdCQsmOL5WNNCsP3S8DVoPc84vqyybXUWrUVix33Gl8/b1wmt8b5zEZpF8vz6Zfw6cLfecxTtTOHTGsbHhaze2J0CvpX39cNrXD+euXtW/qk4IIdxJwpGnGUIc4QgT5y0SjnxaQeGKrrD6cP8yCK3axTezCyyMnLmKyBAjUSGOOUaeWO3Uu/CSCXtTsklOz6Nh5IWhtR0nMtl1KpOnft4BwJ09GxITVnNXkBdCiOog4cjTCidlB2EizywTsn2avTDcGsOqHIwAZq86yqEzuRw6c2EV44A2NR+OokKMXNG4LuuPnmPS3C38d2IfDp3J4Y1Fe/lzd6rzPI3i2H9FCCF8nVxbzdMKh1uClAIKLHa5Vo4vUwvDkQtzii6WklnAF/8cLnHsyuZRdGwQUeXndsU7ozuh0yhsO57B8XN5PPvLzhLB6IbO9fjs7u7Ur4G9l4QQorpJz5GnFa5YC6YAgHyLTa607KvsdsdnxfW/OQosNg6m5fDh0oNkFZTsSRzVzXOXCGhQJ4hOCRFsOnae1YfOsuZwuvO+rc8PlB2fhRB+RX4Le1phz1Gg4tglO88s4chnVaHnKDk9j1yzldcW7ikx8TkiSE9G4YVKW8V6dhfcPs0i2XTsPMv3nUFRHIvzlv/nGglGQgi/I8NqnlYYjiK0jt2SZa8jH2Yv7OlRKheOzuWauW7GPwx9/x9nMGodF8pHd3alb4to53nNYtx34VdXXN3KUcuinSmoKhh0GhpFXnpTSCGE8EUSjjytcEJ2eGE4yrPIpGyfVTQhW3Ppnr8DqdksK7xC++5TWXR9OYnsYruj39ilPosn92VYh3iMugv/RD29G26XhDrEFVuJVi884LKXExFCCF8k4zeeZnBcoydMe2FYTfioCgyr2ewqA9/9G4BBbWNLTGp+8Opm1A3WM7pHQ+exh/o3Z/WhdMb2blwtJVeGRqMwtEMcs1cdBSBWluwLIfyUhCNP0zt6jkI1Mqzm84p6jsqYkJ2eY0IFhrz3t/NY8WA0ZWBLJvZrjlZTsiemUWQwq57qXy3lumJs78bOcGTQScezEMI/STjytMI5RyEa6TnyeWrharWLeo6W7Uvj3jkbUMvZpeHLMd25tk3V90WqCY0ig/nozq689OtuxiQ29nQ5QghRLSQceVrhsFowReFI5hz5LGfPUclw9MDXG8sMRvUjAln6n6s9PpeosoZ1iGdYB7lwrBDCf0k48rSiHbILl/LLsJoPK2PO0aEzOVhsJZPR5ucGkmuyEqDX+lwwEkKI2kDCkacV7ZBduAlkjkl6jnzWRUv57XaV/8zfVuKUh/o1p26wgbrBsjeQEEJ4KwlHnqYvmnPkmJB96EyOJ6sRVWEv2XO06tBZtiRnEGzQMufeKzBZ7PRpHunBAoUQQlSEhCNPK+w5CiuckL3jZKYnqxFVcdGE7G/XJgMwqlsDejSu66mqhBBCVJKsxfW0wjlHAWo+APtSsimwyLwjn1RsQvauU5n8sTsFgDt7NvJgUUIIISpLwpGnFa5W09ryqROkx2JTOZAqQ2s+qXBCdp4Vxs52LN0f1iGOVnGhHi5MCCFEZUg48rTCYTXFnEuLWMcvUZl35KMKe44Ons3jTLaJxpFBPD+8nYeLEkIIUVkSjjytcIdsbGZaRDkux3BYwpFvKuw5OnDGMUT6/Ii2xIXLJTaEEMLXSDjytMJhNYBWdRxvx6EzuZ6qRrjIbldZsusUABa7QpeGEVzdMsbDVQkhhHCFhCNP0xmcV3FvHuE4JMNqvuf3HafZlnwOAFWj49v7epa6TpoQQgjfIOHIGwSEA9Aw0LGc//i5PE9WIypIVVXO55qZuewgn6w4hFZxLOXv0SSKIIPskiGEEL5K/gf3BiFxkJdOHXsGALlmG2arXa567sXe+mMfczckczbH7Dw2ROcIR81jwz1VlhBCCDfwmd++r776Kr179yYoKIiIiIgyz0lOTua6664jKCiImJgYHn/8caxWH7gcR4hjbkqg+SxFIzFvLN6LWt5l3H3c6cx8Nh07V+79JzPy2XTsfLn3H0zL5tZP1rDxaPnPUZ0y8sx8uOxgiWAEEBtS+LeGRq6XJoQQvsxnwpHZbOaWW25hwoQJZd5vs9m47rrrMJvNrF69mq+++oo5c+bw/PPP13ClLgiNA0CTm0p4oB6AL1ceIWl3qiercosCi40bPlzJpO+3AJBdYGHkzFXc/MkadhbuBr7jRCZdX05i1sojqKpK/7eWM+rj1exNySrzOZ/6aQfrj57j5k/WXPb1M/LMZBVYeHPxXoZ/8A+Hz+RgtdldasvRs7m8vmgvnV9Kch4rer8AmkYGOr5QfOaflRBCiDL4zLDatGnTAJgzZ06Z9//555/s3r2bv/76i9jYWDp37szLL7/Mk08+yYsvvojB4MUX+izsOSI7lTpBXTifZwEcPSje5ky2iagQA4pSerKx2Won12TFalc5l2vGZLXx/9YeY9uJTLadyCQsQMffB86QmuWYW7V4ZwoBei3j5mzgXK6Zl37bzSu/78KomoimgD07t9DYHMr2wyepozNz+MRplu44SkcKuEJrIkAxk/3rP+Tk5KC1mbCa8sjPz6NBuAGjRiUjN589J8+D3cbVip1rsZH1gZ3UYB31w/Tkm8zoFRvX5uWgO/ys4/IfdqvjQ7U59i2y2wAVu2onzmrjURUeNTp69HQa0CpgD1RBVdGcLHn5ECGEEL7JZ8LR5axZs4YOHToQGxvrPDZ48GAmTJjArl276NKlS5mPM5lMmEwm5+2sLEdvhcViwWKxVG/RhTSBUWgBe04qwcYLv1gNGmqshqLXudTrzd1wguf+t5vXRrbllm4NStx34nw+N3y0hqwCKzqsRJBLuJJDHbIZoMmljpJN4MZcRis51NHlOO5bmUPeqjzmUUCwsYBgHB8apXA4caXj44rC12gBDNZT0iYotf/0WcenCCBRAS7OKvmOj8J+HkIATFySBggAKJ4JVcdH8X4iVdFii+uKWkPvm6sq8n77I2m3tLs2qO3tdge/CUcpKSklghHgvJ2SklLu46ZPn+7slSpu2bJlBAUFubfIcjQ+c4BOQMrJ42RkZ1L0G3jPrh0sTNteIzUUSUq6MGR0LBtm7tFyfUM7V0Wb+HRDDl2VDFb/up72O89htGRgy8/Anp+Jasrkd3KJMOYQqlS9x8uuKuQS4PhQiz4HkkMAeQSQrxowoacAAwUY0OscX5+z6LGixYYGu6rBghY7GqxosaMUftY4z7GpGucxrUZDvl1DgE7DyCYw64AeGxpUFEBBVaFuAGSYFR5sYyeqaH9HRSk8B2waI9bDChxeWOXvQU0o/n7XJtLu2kXaXTvk5blvpbdHw9FTTz3FG2+8cclz9uzZQ+vWrauthqlTpzJlyhTn7aysLBISEujXrx+RkZHV9rrFaTanwQmIi4kmVAmD3GwAWrfrwLDuDS7z6MrZdSqLT/4+wpODW9KgTiCoKhRkYk0/zI6/f6Nz47po89JQclLZe/wgw7RniD6VQfjpPK43FnuiExc3ovRrZajBZKgh2AIiOJ4fwHlCaNqgPu2bN+bV5amctYWQTRDv3pnIoSyFZxcf46zJQA4BLJoygGveWVmhNr17SweGd4wH4FRGPpuSMzBZ7XSoF8Y3644zb+OFYsMDdWTmlzNJv+h6vxbYvL/03b2b1uWLe7pistoJMfr23xUWi4WkpCQGDhyIXn9xd5z/knZLu2uD2tru9PR0tz2XR/+Hf+yxxxg7duwlz2natGmFnisuLo7169eXOJaamuq8rzxGoxGj0VjquF6vr7kfKp1jPpQGleLjNmYbVa9BVaEgg7/WbOT4oT2cTt5PTzWNsycyaRKRAxnJYMpCT+Hw1ZELD23rKMrJpOo5QzhpagRpap3CzxGcIYIzajgZhPDu2P40qt+ApCMmpi7YxTu3dqZvy2g+/XEby/ed4dfbr0QbFkDr8OM88eN23rqlExHtGtANWNhL5Yt/jpBQN4jGMeG8OaojT/y0nZu61mdfSjY9GtdlXJ/GbE4+T6cGETw8dwt5JhtDOtRHr3eMnTWK1tMoOsxZ87S4cFKzTSzfd4bv7utJ98Z1mb3qCIt3pZCVb3HuRt42PpQnh7Zh7vpkFu0s2dN4Y5f6vDiiHQEGDUadlprpT6wZNfpz7kWk3bWLtLt2cGdbPRqOoqOjiY6OdstzJSYm8uqrr5KWlkZMjGOCc1JSEmFhYbRt29Ytr1Ftiibw2q3Yiy3fz7fYynlAGfLOQfpBOHvA8Tn9IJw77Aw/A4rOK5p/YwKKLYY7q4aRo4+iYYsOHDZHsPyUlp2ZAaThCEBKSBxDurfig2WHSr30m6M6MqxjPJn5FupHOGbyDGwPA9vXu3DOzZ1KPOaWbg24vlM9AvQXJgQpisL9fS+E4Vu6N6BtvTBaxIZg1F04r1Gk42K9vz50JXaVS+5EHaDXMmfcFSWO/evqZvzr6mYAnDyXw/q/lzD8ukT0ej2N6gZxNsdEXHgg9SMCGd4xnjbxYbLbtRBC1CI+MzaQnJzMuXPnSE5OxmazsXXrVgCaN29OSEgIgwYNom3bttx99928+eabpKSk8OyzzzJx4sQye4a8SuHlQ1BtXNsmhr0pjmG1fPNF4UhVIfs0pO2BM3sdH2l7If0A5Je/LxDAGTWMk2o0J5wfUYTFNeOeYVfR7/ND5BMAJuh4JoztJ0ouoV88+SpaxYaiKApfrTlGVkHJYam+LaMJMeoqNdSkKEqJYFTeOe3rl7+hoqIoaKuYWWJCjRTPPY2jgpn/YO+qPakQQgif5jPh6Pnnn+err75y3i5afbZs2TKuueYatFotv/32GxMmTCAxMZHg4GDGjBnDSy+95KmSK04p6jmyMal/C75ecwxrQQ51z2+DDSshZQek7oIz+8CUWe7TnNPFsNsUzRE1niNqPMeI45gawwl7FAVcCIiRwQbSc81wEj76/CSF67AA2H4iC0Vx5LAiLWJCnUv3f5rQmzmrj7LmcDrDO8ST2CxKrjwvhBDCr/hMOJozZ065exwVadSoEQsX+sYqoRI0hRN7jqwgYMF9rAjcRISajGavCnsvOlfRQt2mENMaottAdCuIbsWvxwOZ9NO+S75Mn+aRNI4M5uUb2vP5P4eZvujCk3dtGIE15xz9OrdgVLeGhAXquO2ztXRpGFFiSKlFbCiv3tjBXS0XQgghvI7PhCO/pi027LfrZ+oCKJCprUt4k64Q1wFi20NMG4hsDroL5+eZrQx+72+Onyu5fL5+RCC9mkby02bHSq1/X9OMJ4ZcWPU3rk8TzuaYCDTouLlrA+LD9CxcuJBh/Zo5J7Utnty32poshBBCeCsJR96gWT9oP8oxlhXfkdW59XhkmZUWzZrx3V29LvnQrckZzmDkHC4DHrm2Bc1jQ5zhaFC7kiv2DDoNz1x3YaJ6bdssTAghhCiPhCNvYAiGm2c5b1r3n+HMsvVE5V0+sOw8dWEO0twHHEFq07Hz3NK9AXYVrmkVjU6joeMlJjYLIYQQ4gIJR16oTpBj36PzuebLnOnY1BHgP4Na0iLWcSGNos9ahVLL2IUQQghxaXL5cC9UJ9gx5+dcnhm1+LKxi1hsdjYedSzhb1dPeoaEEEIId5Bw5IWKeo7MVvslN4Kcu+E4JzPyiQw20KNJ3ZoqTwghhPBrEo68UJBBi0HneGvOXWJo7cdNhSvR+jX3+Wt9CSGEEN5CwpEXUhSFOkGOobWMciZlf7X6KNuOZ6AoMKJTfE2WJ4QQQvg1CUdeqmhorayeo1MZ+bzwv10AdG1Yh5hQ2aFaCCGEcBcZi/FSReFoX0o2uSYrceEBdGlYB4DNyReuozb9JtmtWgghhHAnCUdeqm6wIxy9unAPADqNwuqp/YkJDWDb8QwA7klsRMvCZftCCCGEcA8ZVvNSYYElc6vVrnIoLReArYXhqFODiBquSgghhPB/Eo68VP/WsUQE6ZnUvzmJTSMBx1wjq83OjpOOXbE7JUR4sEIhhBDCP0k48lID28ay5bmBPDaoFQl1AwFHONqfmkOBxU5ogI6mUcEerlIIIYTwPzLnyIspigJAvQhHOHo7aT8Wmx1wDKlpNIrHahNCCCH8lfQc+YD6heEIYMbSgwB0SpDLhQghhBDVQcKRD4gPDyx1rHNCHQ9UIoQQQvg/CUc+oFujOjSLLjm/qFMD6TkSQgghqoOEIx8QaNCy5LFrShyLCZNdsYUQQojqIOHIh4TKxWWFEEKIaifhyIfMGteDRpFBfHtfT0+XIoQQQvgt6YrwIT0a12XF4/08XYYQQgjh16TnSAghhBCiGAlHQgghhBDFSDgSQgghhChGwpEQQgghRDESjoQQQgghipFwJIQQQghRjIQjIYQQQohiJBwJIYQQQhQj4UgIIYQQohgJR0IIIYQQxUg4EkIIIYQoRsKREEIIIUQxEo6EEEIIIYqRcCSEEEIIUYzO0wV4G1VVAcjOzkav13u4mppjsVjIy8sjKytL2l0LSLul3bWBtLt2tTs7Oxu48Hu8KiQcXSQ9PR2AJk2aeLgSIYQQQlRWeno64eHhVXoOCUcXqVu3LgDJyclV/ub6kqysLBISEjh+/DhhYWGeLqfGSLul3bWBtFvaXRtkZmbSsGFD5+/xqpBwdBGNxjENKzw8vFb9UBUJCwuTdtci0u7aRdpdu9TWdhf9Hq/Sc7ihDiGEEEIIvyHhSAghhBCiGAlHFzEajbzwwgsYjUZPl1KjpN3S7tpA2i3trg2k3VVvt6K6Y82bEEIIIYSfkJ4jIYQQQohiJBwJIYQQQhQj4UgIIYQQohgJR0IIIYQQxUg4KmbmzJk0btyYgIAAevbsyfr16z1dUrV68cUXURSlxEfr1q09XZbb/f3334wYMYJ69eqhKAoLFiwocb+qqjz//PPEx8cTGBjIgAEDOHDggGeKdaPLtXvs2LGl3v8hQ4Z4plg3mj59Oj169CA0NJSYmBhGjhzJvn37SpxTUFDAxIkTiYyMJCQkhFGjRpGamuqhit2jIu2+5pprSr3nDz74oIcqdo+PP/6Yjh07Ojc8TExMZNGiRc77/fG9hsu32x/f64u9/vrrKIrC5MmTncfc9X5LOCo0b948pkyZwgsvvMDmzZvp1KkTgwcPJi0tzdOlVat27dpx+vRp58fKlSs9XZLb5ebm0qlTJ2bOnFnm/W+++SYzZszgk08+Yd26dQQHBzN48GAKCgpquFL3uly7AYYMGVLi/f/+++9rsMLqsWLFCiZOnMjatWtJSkrCYrEwaNAgcnNznec8+uij/Prrr8yfP58VK1Zw6tQpbrrpJg9WXXUVaTfA/fffX+I9f/PNNz1UsXs0aNCA119/nU2bNrFx40b69+/PDTfcwK5duwD/fK/h8u0G/3uvi9uwYQOffvopHTt2LHHcbe+3KlRVVdUrrrhCnThxovO2zWZT69Wrp06fPt2DVVWvF154Qe3UqZOny6hRgPrLL784b9vtdjUuLk79v//7P+exjIwM1Wg0qt9//70HKqweF7dbVVV1zJgx6g033OCRempSWlqaCqgrVqxQVdXx/ur1enX+/PnOc/bs2aMC6po1azxVpttd3G5VVdWrr75afeSRRzxXVA2pU6eO+sUXX9Sa97pIUbtV1b/f6+zsbLVFixZqUlJSiXa68/2WniPAbDazadMmBgwY4Dym0WgYMGAAa9as8WBl1e/AgQPUq1ePpk2bcuedd5KcnOzpkmrUkSNHSElJKfHeh4eH07NnT79/7wGWL19OTEwMrVq1YsKECaSnp3u6JLfLzMwELlxUetOmTVgslhLveevWrWnYsKFfvecXt7vIt99+S1RUFO3bt2fq1Knk5eV5orxqYbPZmDt3Lrm5uSQmJtaa9/ridhfx1/d64sSJXHfddSXeV3Dvv2258Cxw9uxZbDYbsbGxJY7Hxsayd+9eD1VV/Xr27MmcOXNo1aoVp0+fZtq0aVx11VXs3LmT0NBQT5dXI1JSUgDKfO+L7vNXQ4YM4aabbqJJkyYcOnSIp59+mqFDh7JmzRq0Wq2ny3MLu93O5MmT6dOnD+3btwcc77nBYCAiIqLEuf70npfVboA77riDRo0aUa9ePbZv386TTz7Jvn37+Pnnnz1YbdXt2LGDxMRECgoKCAkJ4ZdffqFt27Zs3brVr9/r8toN/vtez507l82bN7Nhw4ZS97nz37aEo1ps6NChzq87duxIz549adSoET/88APjx4/3YGWiJtx2223Orzt06EDHjh1p1qwZy5cv59prr/VgZe4zceJEdu7c6Zdz6S6lvHY/8MADzq87dOhAfHw81157LYcOHaJZs2Y1XabbtGrViq1bt5KZmcmPP/7ImDFjWLFihafLqnbltbtt27Z++V4fP36cRx55hKSkJAICAqr1tWRYDYiKikKr1Zaa0Z6amkpcXJyHqqp5ERERtGzZkoMHD3q6lBpT9P7W9vceoGnTpkRFRfnN+//QQw/x22+/sWzZMho0aOA8HhcXh9lsJiMjo8T5/vKel9fusvTs2RPA599zg8FA8+bN6datG9OnT6dTp068//77fv9el9fusvjDe71p0ybS0tLo2rUrOp0OnU7HihUrmDFjBjqdjtjYWLe93xKOcPyAdevWjSVLljiP2e12lixZUmL81t/l5ORw6NAh4uPjPV1KjWnSpAlxcXEl3vusrCzWrVtXq957gBMnTpCenu7z77+qqjz00EP88ssvLF26lCZNmpS4v1u3buj1+hLv+b59+0hOTvbp9/xy7S7L1q1bAXz+Pb+Y3W7HZDL57XtdnqJ2l8Uf3utrr72WHTt2sHXrVudH9+7dufPOO51fu+39dt/8cd82d+5c1Wg0qnPmzFF3796tPvDAA2pERISakpLi6dKqzWOPPaYuX75cPXLkiLpq1Sp1wIABalRUlJqWlubp0twqOztb3bJli7plyxYVUN955x11y5Yt6rFjx1RVVdXXX39djYiIUP/73/+q27dvV2+44Qa1SZMman5+vocrr5pLtTs7O1v9z3/+o65Zs0Y9cuSI+tdff6ldu3ZVW7RooRYUFHi69CqZMGGCGh4eri5fvlw9ffq08yMvL895zoMPPqg2bNhQXbp0qbpx40Y1MTFRTUxM9GDVVXe5dh88eFB96aWX1I0bN6pHjhxR//vf/6pNmzZV+/bt6+HKq+app55SV6xYoR45ckTdvn27+tRTT6mKoqh//vmnqqr++V6r6qXb7a/vdVkuXpXnrvdbwlExH3zwgdqwYUPVYDCoV1xxhbp27VpPl1StRo8ercbHx6sGg0GtX7++Onr0aPXgwYOeLsvtli1bpgKlPsaMGaOqqmM5/3PPPafGxsaqRqNRvfbaa9V9+/Z5tmg3uFS78/Ly1EGDBqnR0dGqXq9XGzVqpN5///1+8cdAWW0G1NmzZzvPyc/PV//973+rderUUYOCgtQbb7xRPX36tOeKdoPLtTs5OVnt27evWrduXdVoNKrNmzdXH3/8cTUzM9OzhVfRvffeqzZq1Eg1GAxqdHS0eu211zqDkar653utqpdut7++12W5OBy56/1WVFVVXezhEkIIIYTwOzLnSAghhBCiGAlHQgghhBDFSDgSQgghhChGwpEQQgghRDESjoQQQgghipFwJIQQQghRjIQjIYQQQohiJBwJIYQQQhQj4UgI4dXGjh3LyJEjPfb6d999N6+99lqFzr3tttt4++23q7kiIUR1kx2yhRAeoyjKJe9/4YUXePTRR1FVlYiIiJopqpht27bRv39/jh07RkhIyGXP37lzJ3379uXIkSOEh4fXQIVCiOog4UgI4TEpKSnOr+fNm8fzzz/Pvn37nMdCQkIqFEqqy3333YdOp+OTTz6p8GN69OjB2LFjmThxYjVWJoSoTjKsJoTwmLi4OOdHeHg4iqKUOBYSElJqWO2aa65h0qRJTJ48mTp16hAbG8vnn39Obm4u48aNIzQ0lObNm7No0aISr7Vz506GDh1KSEgIsbGx3H333Zw9e7bc2mw2Gz/++CMjRowocfyjjz6iRYsWBAQEEBsby80331zi/hEjRjB37tyqf3OEEB4j4UgI4XO++uoroqKiWL9+PZMmTWLChAnccsst9O7dm82bNzNo0CDuvvtu8vLyAMjIyKB///506dKFjRs3snjxYlJTU7n11lvLfY3t27eTmZlJ9+7dncc2btzIww8/zEsvvcS+fftYvHgxffv2LfG4K664gvXr12Mymaqn8UKIaifhSAjhczp16sSzzz5LixYtmDp1KgEBAURFRXH//ffTokULnn/+edLT09m+fTsAH374IV26dOG1116jdevWdOnShVmzZrFs2TL2799f5mscO3YMrVZLTEyM81hycjLBwcEMHz6cRo0a0aVLFx5++OESj6tXrx5ms7nEkKEQwrdIOBJC+JyOHTs6v9ZqtURGRtKhQwfnsdjYWADS0tIAx8TqZcuWOecwhYSE0Lp1awAOHTpU5mvk5+djNBpLTBofOHAgjRo1omnTptx99918++23zt6pIoGBgQCljgshfIeEIyGEz9Hr9SVuK4pS4lhRoLHb7QDk5OQwYsQItm7dWuLjwIEDpYbFikRFRZGXl4fZbHYeCw0NZfPmzXz//ffEx8fz/PPP06lTJzIyMpznnDt3DoDo6Gi3tFUIUfMkHAkh/F7Xrl3ZtWsXjRs3pnnz5iU+goODy3xM586dAdi9e3eJ4zqdjgEDBvDmm2+yfft2jh49ytKlS53379y5kwYNGhAVFVVt7RFCVC8JR0IIvzdx4kTOnTvH7bffzoYNGzh06BB//PEH48aNw2azlfmY6OhounbtysqVK53HfvvtN2bMmMHWrVs5duwYX3/9NXa7nVatWjnP+eeffxg0aFC1t0kIUX0kHAkh/F69evVYtWoVNpuNQYMG0aFDByZPnkxERAQaTfn/Dd533318++23ztsRERH8/PPP9O/fnzZt2vDJJ5/w/fff065dOwAKCgpYsGAB999/f7W3SQhRfWQTSCGEKEd+fj6tWrVi3rx5JCYmXvb8jz/+mF9++YU///yzBqoTQlQX6TkSQohyBAYG8vXXX19ys8ji9Ho9H3zwQTVXJYSobtJzJIQQQghRjPQcCSGEEEIUI+FICCGEEKIYCUdCCCGEEMVIOBJCCCGEKEbCkRBCCCFEMRKOhBBCCCGKkXAkhBBCCFGMhCMhhBBCiGIkHAkhhBBCFPP/AehvwZlke97+AAAAAElFTkSuQmCC", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(actual_az_filtered[:, 0], actual_az_filtered[:, 1], label=\"Flight data\")\n", - "plt.plot(simulated_az[:, 0], simulated_az[:, 1], label=\"RocketPy\")\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Vertical acceleration (m/s^2)\")\n", - "# plt.ylim()\n", - "plt.xlim(0, round(simulated_t_final, -1))\n", - "plt.legend()\n", - "plt.grid()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Numerical comparison\n" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Apogee (AGL)\n", - "RocketPy: 460.74 m\n", - "Real data: 458.97 m\n", - "Absolute error: 1.77 m\n", - "Relative error: 0.39 %\n" - ] - } - ], - "source": [ - "print(\"Apogee (AGL)\")\n", - "print(f\"RocketPy: {simulated_apogee:.2f} m\")\n", - "print(f\"Real data: {actual_z.max:.2f} m\")\n", - "diff = abs(actual_z.max - simulated_apogee)\n", - "print(f\"Absolute error: {diff:.2f} m\")\n", - "print(f\"Relative error: {diff / actual_z.max * 100:.2f} %\")" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Max Velocity\n", - "RocketPy: 86.20 m/s\n", - "Real data: 90.00 m/s\n", - "Absolute error: -3.80 m/s\n", - "Relative error: 4.23 %\n" - ] - } - ], - "source": [ - "print(\"Max Velocity\")\n", - "print(f\"RocketPy: {simulated_vz.max:.2f} m/s\")\n", - "print(f\"Real data: {actual_vz.max:.2f} m/s\")\n", - "velocity_error = simulated_vz.max - actual_vz.max\n", - "print(f\"Absolute error: {velocity_error:.2f} m/s\")\n", - "relative_error = abs(velocity_error) / actual_vz.max * 100\n", - "print(f\"Relative error: {relative_error:.2f} %\")" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Max Acceleration\n", - "RocketPy: 58.46 m/s²\n", - "Real data (derivative): 58.73 m/s²\n", - "Absolute error: -0.27 m/s^2\n", - "Relative error: 0.46 %\n" - ] - } - ], - "source": [ - "print(\"Max Acceleration\")\n", - "print(f\"RocketPy: {simulated_az.max:.2f} m/s²\")\n", - "print(f\"Real data (derivative): {actual_az_filtered.max:.2f} m/s²\")\n", - "acceleration_error = simulated_az.max - actual_az_filtered.max\n", - "print(f\"Absolute error: {acceleration_error:.2f} m/s^2\")\n", - "relative_error = abs(acceleration_error) / actual_az_filtered.max * 100\n", - "print(f\"Relative error: {relative_error:.2f} %\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.2" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/docs/examples/test_camoes_flight_sim.ipynb b/docs/examples/test_camoes_flight_sim.ipynb deleted file mode 100644 index 616610761..000000000 --- a/docs/examples/test_camoes_flight_sim.ipynb +++ /dev/null @@ -1,847 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Camões - Rocket Experiment Division \n", - "\n", - "Launched at EUROC'23, achieved the target apogee of 3000 meters, with a flawless ascent phase, featuring effective air brake operation throughout. \n", - "The recovery phase had only the actuation of a drogue parachute.\n", - "\n", - "Permission to use flight data given by Gonçalo Machado, 2024.\n", - "\n", - "These results were extracted out of the flight card:\n", - "\n", - "1. Team number: `20`\n", - "2. Launch date: `October 14th, 2023. 14h local time`\n", - "3. Simulated apogee: `3003 m`\n", - "4. Official recorded apogee: `3015 m`\n", - "\n", - "The relative error of altitude apogee is only `0.39%`!" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "ename": "OSError", - "evalue": "'seaborn-v0_8-colorblind' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:127\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m rc \u001b[38;5;241m=\u001b[39m \u001b[43mrc_params_from_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstyle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muse_default_template\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:852\u001b[0m, in \u001b[0;36mrc_params_from_file\u001b[1;34m(fname, fail_on_error, use_default_template)\u001b[0m\n\u001b[0;32m 838\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 839\u001b[0m \u001b[38;5;124;03mConstruct a `RcParams` from file *fname*.\u001b[39;00m\n\u001b[0;32m 840\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 850\u001b[0m \u001b[38;5;124;03m parameters specified in the file. (Useful for updating dicts.)\u001b[39;00m\n\u001b[0;32m 851\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 852\u001b[0m config_from_file \u001b[38;5;241m=\u001b[39m \u001b[43m_rc_params_in_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfail_on_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfail_on_error\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 854\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m use_default_template:\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:778\u001b[0m, in \u001b[0;36m_rc_params_in_file\u001b[1;34m(fname, transform, fail_on_error)\u001b[0m\n\u001b[0;32m 777\u001b[0m rc_temp \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m--> 778\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _open_file_or_url(fname) \u001b[38;5;28;01mas\u001b[39;00m fd:\n\u001b[0;32m 779\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\contextlib.py:117\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 117\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\__init__.py:755\u001b[0m, in \u001b[0;36m_open_file_or_url\u001b[1;34m(fname)\u001b[0m\n\u001b[0;32m 754\u001b[0m encoding \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 755\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 756\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m f\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'seaborn-v0_8-colorblind'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[2], line 8\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mrocketpy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmotors\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtank\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m MassFlowRateBasedTank\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m----> 8\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstyle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43muse\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseaborn-v0_8-colorblind\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\matplotlib\\style\\core.py:130\u001b[0m, in \u001b[0;36muse\u001b[1;34m(style)\u001b[0m\n\u001b[0;32m 128\u001b[0m _apply_style(rc)\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m--> 130\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[0;32m 131\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m not found in the style library and input is not a \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 132\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalid URL or path; see `style.available` for list of \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mavailable styles\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(style)) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n", - "\u001b[1;31mOSError\u001b[0m: 'seaborn-v0_8-colorblind' not found in the style library and input is not a valid URL or path; see `style.available` for list of available styles" - ] - } - ], - "source": [ - "from rocketpy import Function, Environment, Flight, Rocket, SolidMotor\n", - "from rocketpy import AirBrakes, _Controller\n", - "from rocketpy.motors import CylindricalTank, SolidMotor\n", - "from rocketpy.motors.tank import MassFlowRateBasedTank\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.style.use(\"seaborn-v0_8-colorblind\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Environment" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Gravity Details\n", - "\n", - "Acceleration of gravity at surface level: 9.8066 m/s²\n", - "Acceleration of gravity at 4.000 km (ASL): 9.8066 m/s²\n", - "\n", - "\n", - "Launch Site Details\n", - "\n", - "Launch Date: 2023-10-14 13:00:00 UTC | 2023-10-14 14:00:00 Portugal\n", - "Launch Site Latitude: 39.39000°\n", - "Launch Site Longitude: -8.28954°\n", - "Reference Datum: WGS84\n", - "Launch Site UTM coordinates: 44367.90 W 4373424.89 N\n", - "Launch Site UTM zone: 30S\n", - "Launch Site Surface Elevation: 107.0 m\n", - "\n", - "\n", - "Atmospheric Model Details\n", - "\n", - "Atmospheric Model Type: Reanalysis\n", - "Reanalysis Maximum Height: 4.000 km\n", - "Reanalysis Time Period: from 2023-10-12 08:00:00 to 2023-10-15 18:00:00 utc\n", - "Reanalysis Hour Interval: 1 hrs\n", - "Reanalysis Latitude Range: From 40.0° to 39.0°\n", - "Reanalysis Longitude Range: From -9.0° to -7.0°\n", - "\n", - "Surface Atmospheric Conditions\n", - "\n", - "Surface Wind Speed: 0.90 m/s\n", - "Surface Wind Direction: 207.00°\n", - "Surface Wind Heading: 27.00°\n", - "Surface Pressure: 1000.00 hPa\n", - "Surface Temperature: 295.59 K\n", - "Surface Air Density: 1.179 kg/m³\n", - "Surface Speed of Sound: 344.66 m/s\n", - "\n", - "\n", - "Earth Model Details\n", - "\n", - "Earth Radius at Launch site: 6369.57 km\n", - "Semi-major Axis: 6378.14 km\n", - "Semi-minor Axis: 6356.75 km\n", - "Flattening: 0.0034\n", - "\n", - "\n", - "Atmospheric Model Plots\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "env = Environment(\n", - " gravity=9.80665,\n", - " date=(2023, 10, 14, 14),\n", - " latitude=39.3900032043457,\n", - " longitude=-8.2895383834838,\n", - " elevation=107,\n", - " datum=\"WGS84\",\n", - " timezone=\"Portugal\",\n", - ")\n", - "\n", - "env.set_atmospheric_model(\n", - " type=\"Reanalysis\",\n", - " file=\"../../data/weather/euroc_2023_all_windows.nc\",\n", - " dictionary=\"ECMWF\",\n", - ")\n", - "env.max_expected_height = 4000\n", - "env.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Motor" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "Mariachi = SolidMotor(\n", - " thrust_source=\"../../data/rockets/camoes/thrust_source.csv\",\n", - " burn_time=3.72,\n", - " grain_number=6,\n", - " grain_density=1637,\n", - " grain_initial_inner_radius=0.015,\n", - " grain_outer_radius=0.045,\n", - " grain_initial_height=0.15,\n", - " nozzle_radius=0.034,\n", - " throat_radius=0.0135,\n", - " grain_separation=0.005,\n", - " grains_center_of_mass_position=-0.7566,\n", - " dry_inertia=(0, 0, 0),\n", - " center_of_dry_mass_position=0,\n", - " dry_mass=0,\n", - " nozzle_position=-1.3346,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Nozzle Details\n", - "Nozzle Radius: 0.034 m\n", - "Nozzle Throat Radius: 0.0135 m\n", - "\n", - "Grain Details\n", - "Number of Grains: 6\n", - "Grain Spacing: 0.005 m\n", - "Grain Density: 1637 kg/m3\n", - "Grain Outer Radius: 0.045 m\n", - "Grain Inner Radius: 0.015 m\n", - "Grain Height: 0.15 m\n", - "Grain Volume: 0.001 m3\n", - "Grain Mass: 1.389 kg\n", - "\n", - "Motor Details\n", - "Total Burning Time: 3.72 s\n", - "Total Propellant Mass: 8.331 kg\n", - "Structural Mass Ratio: 0.000\n", - "Average Propellant Exhaust Velocity: 1320.764 m/s\n", - "Average Thrust: 2957.984 N\n", - "Maximum Thrust: 4145.791 N at 1.65 s after ignition.\n", - "Total Impulse: 11003.702 Ns\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Mariachi.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Rocket and Aerodynamic surfaces" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For comparison purposes, no parachute will be added to the simulation" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "CAMOES = Rocket(\n", - " radius=0.0715,\n", - " mass=22.8,\n", - " inertia=(16.2, 16.2, 0.066),\n", - " center_of_mass_without_motor=0,\n", - " power_off_drag=\"../../data/rockets/camoes/drag_coefficient_power_off.csv\",\n", - " power_on_drag=\"../../data/rockets/camoes/drag_coefficient_power_on.csv\",\n", - " coordinate_system_orientation=\"tail_to_nose\",\n", - ")\n", - "\n", - "CAMOES.set_rail_buttons(0.5, 0.2)\n", - "\n", - "CAMOES.add_motor(Mariachi, position=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "NoseCone = CAMOES.add_nose(\n", - " length=0.455,\n", - " kind=\"vonKarman\",\n", - " position=1.1884,\n", - ")\n", - "\n", - "FinSet = CAMOES.add_trapezoidal_fins(\n", - " n=4,\n", - " span=0.155,\n", - " root_chord=0.185,\n", - " tip_chord=0.15,\n", - " position=-1.0866,\n", - ")\n", - "\n", - "Tail = CAMOES.add_tail(\n", - " top_radius=0.0715, bottom_radius=0.037, length=0.048, position=-1.2866\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "def drogue_trigger(p, h, y):\n", - " return True if y[5] < 5 and y[2] > 300 else False\n", - "\n", - "\n", - "Drogue = CAMOES.add_parachute(\n", - " \"Drogue\", cd_s=0.33, sampling_rate=400, lag=1.5, trigger=drogue_trigger\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "CAMOES.draw()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Air Brakes - Active Control Systems" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For privacy reasons, the controller function is not the one developed and used by the team. \n", - "\n", - "The controller function just describes the actuation with time of the algorithm developed by the team. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "\n", - "def controller_function(\n", - " time, sampling_rate, state, state_history, observed_variables, air_brakes\n", - "):\n", - " new_deployment_level = 0\n", - "\n", - " if time <= 11.4:\n", - " new_deployment_level = 1\n", - " else:\n", - " new_deployment_level = (\n", - " -0.002906 * np.power(time, 3)\n", - " + 0.1497 * np.power(time, 2)\n", - " + -2.563 * time\n", - " + 14.96\n", - " )\n", - "\n", - " if time > 19.6:\n", - " new_deployment_level = 0\n", - "\n", - " if time < 3.8:\n", - " new_deployment_level = 0\n", - "\n", - " air_brakes.deployment_level = new_deployment_level\n", - "\n", - " return time, air_brakes.deployment_level" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "air_brakes = CAMOES.add_air_brakes(\n", - " drag_coefficient_curve=[\n", - " # Mach 0.1\n", - " [0, 0.1, 0.7692],\n", - " [10 / 100, 0.1, 0.7663],\n", - " [20 / 100, 0.1, 0.7762],\n", - " [30 / 100, 0.1, 0.7847],\n", - " [40 / 100, 0.1, 0.7999],\n", - " [50 / 100, 0.1, 0.8246],\n", - " [60 / 100, 0.1, 0.8310],\n", - " [70 / 100, 0.1, 0.8499],\n", - " [80 / 100, 0.1, 0.8738],\n", - " [90 / 100, 0.1, 0.8945],\n", - " [100 / 100, 0.1, 1.1018],\n", - " # Mach 0.2\n", - " [0, 0.2, 0.7508],\n", - " [10 / 100, 0.2, 0.7513],\n", - " [20 / 100, 0.2, 0.7670],\n", - " [30 / 100, 0.2, 0.7782],\n", - " [40 / 100, 0.2, 0.7943],\n", - " [50 / 100, 0.2, 0.8063],\n", - " [60 / 100, 0.2, 0.8243],\n", - " [70 / 100, 0.2, 0.8493],\n", - " [80 / 100, 0.2, 0.8781],\n", - " [90 / 100, 0.2, 0.8925],\n", - " [100 / 100, 0.2, 0.9851],\n", - " # Mach 0.3\n", - " [0, 0.3, 0.7445],\n", - " [10 / 100, 0.3, 0.7571],\n", - " [20 / 100, 0.3, 0.7699],\n", - " [30 / 100, 0.3, 0.7828],\n", - " [40 / 100, 0.3, 0.7985],\n", - " [50 / 100, 0.3, 0.8114],\n", - " [60 / 100, 0.3, 0.8379],\n", - " [70 / 100, 0.3, 0.8634],\n", - " [80 / 100, 0.3, 0.8834],\n", - " [90 / 100, 0.3, 0.8947],\n", - " [100 / 100, 0.3, 0.9782],\n", - " # Mach 0.4\n", - " [0, 0.4, 0.7492],\n", - " [10 / 100, 0.4, 0.7566],\n", - " [20 / 100, 0.4, 0.7698],\n", - " [30 / 100, 0.4, 0.7840],\n", - " [40 / 100, 0.4, 0.7994],\n", - " [50 / 100, 0.4, 0.8136],\n", - " [60 / 100, 0.4, 0.8399],\n", - " [70 / 100, 0.4, 0.8665],\n", - " [80 / 100, 0.4, 0.8834],\n", - " [90 / 100, 0.4, 0.8969],\n", - " [100 / 100, 0.4, 0.9659],\n", - " # Mach 0.5\n", - " [0, 0.5, 0.7454],\n", - " [10 / 100, 0.5, 0.7537],\n", - " [20 / 100, 0.5, 0.7651],\n", - " [30 / 100, 0.5, 0.7811],\n", - " [40 / 100, 0.5, 0.7987],\n", - " [50 / 100, 0.5, 0.8163],\n", - " [60 / 100, 0.5, 0.8404],\n", - " [70 / 100, 0.5, 0.8631],\n", - " [80 / 100, 0.5, 0.8788],\n", - " [90 / 100, 0.5, 0.8951],\n", - " [100 / 100, 0.5, 0.9416],\n", - " # Mach 0.6\n", - " [0, 0.6, 0.7036],\n", - " [10 / 100, 0.6, 0.7237],\n", - " [20 / 100, 0.6, 0.7359],\n", - " [30 / 100, 0.6, 0.7496],\n", - " [40 / 100, 0.6, 0.7684],\n", - " [50 / 100, 0.6, 0.7899],\n", - " [60 / 100, 0.6, 0.8153],\n", - " [70 / 100, 0.6, 0.8406],\n", - " [80 / 100, 0.6, 0.8539],\n", - " [90 / 100, 0.6, 0.8712],\n", - " [100 / 100, 0.6, 0.9286],\n", - " # Mach 0.7\n", - " [0, 0.7, 0.6810],\n", - " [10 / 100, 0.7, 0.6948],\n", - " [20 / 100, 0.7, 0.7076],\n", - " [30 / 100, 0.7, 0.7233],\n", - " [40 / 100, 0.7, 0.7427],\n", - " [50 / 100, 0.7, 0.7629],\n", - " [60 / 100, 0.7, 0.7876],\n", - " [70 / 100, 0.7, 0.8073],\n", - " [80 / 100, 0.7, 0.8272],\n", - " [90 / 100, 0.7, 0.8453],\n", - " [100 / 100, 0.7, 0.8960],\n", - " # Mach 0.8\n", - " [0, 0.8, 0.6578],\n", - " [10 / 100, 0.8, 0.6739],\n", - " [20 / 100, 0.8, 0.6870],\n", - " [30 / 100, 0.8, 0.7036],\n", - " [40 / 100, 0.8, 0.7240],\n", - " [50 / 100, 0.8, 0.7457],\n", - " [60 / 100, 0.8, 0.7676],\n", - " [70 / 100, 0.8, 0.7880],\n", - " [80 / 100, 0.8, 0.8098],\n", - " [90 / 100, 0.8, 0.8278],\n", - " [100 / 100, 0.8, 0.8799],\n", - " # Mach 0.9\n", - " [0, 0.9, 0.6574],\n", - " [10 / 100, 0.9, 0.6634],\n", - " [20 / 100, 0.9, 0.6794],\n", - " [30 / 100, 0.9, 0.6958],\n", - " [40 / 100, 0.9, 0.7201],\n", - " [50 / 100, 0.9, 0.7395],\n", - " [60 / 100, 0.9, 0.7618],\n", - " [70 / 100, 0.9, 0.7844],\n", - " [80 / 100, 0.9, 0.8057],\n", - " [90 / 100, 0.9, 0.8278],\n", - " [100 / 100, 0.9, 0.8628],\n", - " # Mach 1.0\n", - " [0, 1.0, 0.8350],\n", - " [10 / 100, 1.0, 0.8241],\n", - " [20 / 100, 1.0, 0.8403],\n", - " [30 / 100, 1.0, 0.8593],\n", - " [40 / 100, 1.0, 0.8832],\n", - " [50 / 100, 1.0, 0.9070],\n", - " [60 / 100, 1.0, 0.9358],\n", - " [70 / 100, 1.0, 0.9639],\n", - " [80 / 100, 1.0, 0.9881],\n", - " [90 / 100, 1.0, 1.0093],\n", - " [100 / 100, 1.0, 1.0347],\n", - " # Mach 1.1\n", - " [0, 1.1, 0.8610],\n", - " [10 / 100, 1.1, 0.8447],\n", - " [20 / 100, 1.1, 0.8617],\n", - " [30 / 100, 1.1, 0.8800],\n", - " [40 / 100, 1.1, 0.9027],\n", - " [50 / 100, 1.1, 0.9244],\n", - " [60 / 100, 1.1, 0.9515],\n", - " [70 / 100, 1.1, 0.9810],\n", - " [80 / 100, 1.1, 1.0069],\n", - " [90 / 100, 1.1, 1.0253],\n", - " [100 / 100, 1.1, 1.0560],\n", - " ],\n", - " controller_function=controller_function,\n", - " sampling_rate=10,\n", - " reference_area=None,\n", - " clamp=True,\n", - " initial_observed_variables=(0, 0),\n", - " override_rocket_drag=True,\n", - " name=\"Air Brakes\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "air_brakes.all_info()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Flight Simulation Data" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "E:\\books\\New folder\\MSc\\RocketPy\\tttt\\RocketPy\\rocketpy\\simulation\\flight.py:1209: UserWarning: time_overshoot has been set to False due to the presence of controllers or sensors. \n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "test_flight = Flight(\n", - " rocket=CAMOES, environment=env, inclination=84, heading=133, rail_length=12, equations_of_motion=\"solid_propulsion\", simulation_mode=\"3 DOF\"\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Apogee State\n", - "\n", - "Apogee Time: 23.143 s\n", - "Apogee Altitude: 3130.739 m (ASL) | 3023.739 m (AGL)\n", - "Apogee Freestream Speed: 6.031 m/s\n", - "Apogee X position: 324.468 m\n", - "Apogee Y position: -285.984 m\n", - "Apogee latitude: 39.3874306°\n", - "Apogee longitude: -8.2857620°\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "test_flight.prints.apogee_conditions()\n", - "test_flight.plots.trajectory_3d()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Airbrakes actuation analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "time_list, deployment_level_list = [], []\n", - "\n", - "obs_vars = test_flight.get_controller_observed_variables()\n", - "\n", - "for time, deployment_level in obs_vars:\n", - " time_list.append(time)\n", - " deployment_level_list.append(deployment_level)\n", - "\n", - "# Plot deployment level by time\n", - "plt.plot(time_list, deployment_level_list)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Deployment Level\")\n", - "plt.title(\"Deployment Level by Time\")\n", - "plt.grid()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "from rocketpy.simulation.flight_data_importer import FlightDataImporter" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The following attributes were create and are now available to be used: ['time', 'altitude', 'az']\n" - ] - } - ], - "source": [ - "columns_map = {\n", - " \"ts\": \"time\",\n", - " \"filtered_altitude_AGL\": \"altitude\",\n", - " \"filtered_acceleration\": \"az\",\n", - "}\n", - "\n", - "cots_altimeter_flight = FlightDataImporter(\n", - " name=\"COTS Altimeter Flight\",\n", - " paths=\"../../data/rockets/camoes/flight_data.csv\",\n", - " columns_map=columns_map,\n", - " units=None,\n", - " interpolation=\"linear\",\n", - " extrapolation=\"zero\",\n", - " delimiter=\",\",\n", - " encoding=\"utf-8\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Function.compare_plots(\n", - " [\n", - " (test_flight.altitude, \"RocketPy\"),\n", - " (cots_altimeter_flight.altitude, \"COTS Altimeter\"),\n", - " ],\n", - " title=\"Altitude Comparison\",\n", - " xlabel=\"Time (s)\",\n", - " ylabel=\"Altitude (m)\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The following attributes were create and are now available to be used: ['time', 'latitude', 'longitude']\n" - ] - } - ], - "source": [ - "columns_map = {\n", - " \"ts\": \"time\",\n", - " \"latitude\": \"latitude\",\n", - " \"longitude\": \"longitude\",\n", - "}\n", - "\n", - "cots_gnss_flight = FlightDataImporter(\n", - " name=\"COTS GNSS Flight\",\n", - " paths=\"../../data/rockets/camoes/gnss_flight.csv\",\n", - " columns_map=columns_map,\n", - " units=None,\n", - " interpolation=\"linear\",\n", - " extrapolation=\"zero\",\n", - " delimiter=\",\",\n", - " encoding=\"utf-8\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "Function.compare_plots(\n", - " [(test_flight.latitude, \"RocketPy\"), (cots_gnss_flight.latitude, \"Actual - GNSS\")],\n", - " title=\"Latitude Comparison\",\n", - " xlabel=\"Time (s)\",\n", - " ylabel=\"Latitude (deg)\",\n", - ")\n", - "Function.compare_plots(\n", - " [\n", - " (test_flight.longitude, \"RocketPy\"),\n", - " (cots_gnss_flight.longitude, \"Actual - GNSS\"),\n", - " ],\n", - " title=\"Longitude Comparison\",\n", - " xlabel=\"Time (s)\",\n", - " ylabel=\"Longitude (deg)\",\n", - ")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From 47c9f2f3777ddb3b616933ae5d2638d7493c6f4f Mon Sep 17 00:00:00 2001 From: aZira371 Date: Sat, 10 May 2025 14:02:41 +0100 Subject: [PATCH 07/56] MNT: Cleaned up PointMassMotor and PointMassRocket class MNT: Cleaned up the flight class u_dot_generalized_3dof TODO: Add info for 3 dof cases and fix some new issues when parachute is added. --- docs/examples/3_DOF_TRIAL.ipynb | 102 +++++++---------- rocketpy/motors/PointMassMotor.py | 35 +++--- rocketpy/rocket/rocket.py | 72 +++++++----- rocketpy/simulation/flight.py | 179 ++++++++++++------------------ 4 files changed, 180 insertions(+), 208 deletions(-) diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb index 2107f3aa1..39636df56 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 22, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -140,46 +140,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 5, "metadata": {}, "outputs": [], - "source": [ - "def wrap_env_check(env):\n", - " original_get_value_opt = env.wind_velocity_y.get_value_opt\n", - " def safe_get_value_opt(*args, **kwargs):\n", - " print(\"✅ get_value_opt called with\", args, kwargs)\n", - " return original_get_value_opt(*args, **kwargs)\n", - " env.wind_velocity_y.get_value_opt = safe_get_value_opt\n", - " return env\n", - "\n", - "env = wrap_env_check(env)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'tuple' object has no attribute 'get_value_opt'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[28], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Simulate Flight (3 DOF)\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m flight \u001b[38;5;241m=\u001b[39m \u001b[43mFlight\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43menvironment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mrail_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43minclination\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m85\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# degrees from horizontal\u001b[39;49;00m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mheading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m90\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# east\u001b[39;49;00m\n\u001b[0;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43msimulation_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m3 DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mterminate_on_apogee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTest3DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 12\u001b[0m \u001b[43m)\u001b[49m\n", - "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:653\u001b[0m, in \u001b[0;36mFlight.__init__\u001b[1;34m(self, rocket, environment, rail_length, inclination, heading, initial_solution, terminate_on_apogee, max_time, max_time_step, min_time_step, rtol, atol, time_overshoot, verbose, name, equations_of_motion, simulation_mode, ode_solver)\u001b[0m\n\u001b[0;32m 650\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mflight_phases\u001b[38;5;241m.\u001b[39madd_phase(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_time)\n\u001b[0;32m 652\u001b[0m \u001b[38;5;66;03m# Simulate flight\u001b[39;00m\n\u001b[1;32m--> 653\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__simulate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 655\u001b[0m \u001b[38;5;66;03m# Initialize prints and plots objects\u001b[39;00m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprints \u001b[38;5;241m=\u001b[39m _FlightPrints(\u001b[38;5;28mself\u001b[39m)\n", - "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:817\u001b[0m, in \u001b[0;36mFlight.__simulate\u001b[1;34m(self, verbose)\u001b[0m\n\u001b[0;32m 814\u001b[0m \u001b[38;5;66;03m# Step through simulation\u001b[39;00m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 816\u001b[0m \u001b[38;5;66;03m# Execute solver step, log solution and function evaluations\u001b[39;00m\n\u001b[1;32m--> 817\u001b[0m \u001b[43mphase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 818\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msolution \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [[phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mt, \u001b[38;5;241m*\u001b[39mphase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39my]]\n\u001b[0;32m 819\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunction_evaluations\u001b[38;5;241m.\u001b[39mappend(phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mnfev)\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:181\u001b[0m, in \u001b[0;36mOdeSolver.step\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 179\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 180\u001b[0m t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mt\n\u001b[1;32m--> 181\u001b[0m success, message \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_step_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m success:\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstatus 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\u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:138\u001b[0m, in \u001b[0;36mOdeSolver.__init__..fun\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 136\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun\u001b[39m(t, y):\n\u001b[0;32m 137\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnfev \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m--> 138\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun_single\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:20\u001b[0m, in \u001b[0;36mcheck_arguments..fun_wrapped\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun_wrapped\u001b[39m(t, y):\n\u001b[1;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39masarray(\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m, dtype\u001b[38;5;241m=\u001b[39mdtype)\n", - "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:1375\u001b[0m, in \u001b[0;36mFlight.udot_rail1\u001b[1;34m(self, t, u, post_processing)\u001b[0m\n\u001b[0;32m 1371\u001b[0m _, _, z, vx, vy, vz, e0, e1, e2, e3, _, _, _ \u001b[38;5;241m=\u001b[39m u\n\u001b[0;32m 1373\u001b[0m \u001b[38;5;66;03m# Retrieve important quantities\u001b[39;00m\n\u001b[0;32m 1374\u001b[0m \u001b[38;5;66;03m# Mass\u001b[39;00m\n\u001b[1;32m-> 1375\u001b[0m total_mass_at_t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtotal_mass\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_value_opt\u001b[49m(t)\n\u001b[0;32m 1377\u001b[0m \u001b[38;5;66;03m# Get freestream speed\u001b[39;00m\n\u001b[0;32m 1378\u001b[0m free_stream_speed \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 1379\u001b[0m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_x\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vx) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1380\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_y\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vy) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1381\u001b[0m \u001b[38;5;241m+\u001b[39m (vz) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1382\u001b[0m ) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m0.5\u001b[39m\n", - "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'get_value_opt'" - ] - } - ], "source": [ "# Simulate Flight (3 DOF)\n", "flight = Flight(\n", @@ -189,7 +152,7 @@ " inclination=85, # degrees from horizontal\n", " heading=90, # east\n", " simulation_mode=\"3 DOF\",\n", - " terminate_on_apogee=True,\n", + " terminate_on_apogee=False,\n", " max_time=20,\n", " name=\"Test3DOF\"\n", ")" @@ -197,32 +160,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [ { - "ename": "AttributeError", - "evalue": "'tuple' object has no attribute 'get_value_opt'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[2], line 29\u001b[0m\n\u001b[0;32m 23\u001b[0m rocket\u001b[38;5;241m.\u001b[39madd_motor(motor)\n\u001b[0;32m 25\u001b[0m \u001b[38;5;66;03m# %% [markdown]\u001b[39;00m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;66;03m# ## Simulate Flight (3 DOF)\u001b[39;00m\n\u001b[0;32m 27\u001b[0m \n\u001b[0;32m 28\u001b[0m \u001b[38;5;66;03m# %% [code]\u001b[39;00m\n\u001b[1;32m---> 29\u001b[0m flight \u001b[38;5;241m=\u001b[39m \u001b[43mFlight\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 30\u001b[0m \u001b[43m \u001b[49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 31\u001b[0m \u001b[43m \u001b[49m\u001b[43menvironment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 32\u001b[0m \u001b[43m \u001b[49m\u001b[43mrail_length\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5.0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 33\u001b[0m \u001b[43m \u001b[49m\u001b[43minclination\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m85\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# degrees from horizontal\u001b[39;49;00m\n\u001b[0;32m 34\u001b[0m \u001b[43m \u001b[49m\u001b[43mheading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m90\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# east\u001b[39;49;00m\n\u001b[0;32m 35\u001b[0m \u001b[43m \u001b[49m\u001b[43msimulation_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m3 DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 36\u001b[0m \u001b[43m \u001b[49m\u001b[43mterminate_on_apogee\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_time\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 38\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTest3DOF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 39\u001b[0m \u001b[43m)\u001b[49m\n\u001b[0;32m 41\u001b[0m \u001b[38;5;66;03m# %% [markdown]\u001b[39;00m\n\u001b[0;32m 42\u001b[0m \u001b[38;5;66;03m# ## Plot Altitude\u001b[39;00m\n\u001b[0;32m 43\u001b[0m \n\u001b[0;32m 44\u001b[0m \u001b[38;5;66;03m# %% [code]\u001b[39;00m\n\u001b[0;32m 45\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n", - "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:653\u001b[0m, in \u001b[0;36mFlight.__init__\u001b[1;34m(self, rocket, environment, rail_length, inclination, heading, initial_solution, terminate_on_apogee, max_time, max_time_step, min_time_step, rtol, atol, time_overshoot, verbose, name, equations_of_motion, simulation_mode, ode_solver)\u001b[0m\n\u001b[0;32m 650\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mflight_phases\u001b[38;5;241m.\u001b[39madd_phase(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_time)\n\u001b[0;32m 652\u001b[0m \u001b[38;5;66;03m# Simulate flight\u001b[39;00m\n\u001b[1;32m--> 653\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__simulate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 655\u001b[0m \u001b[38;5;66;03m# Initialize prints and plots objects\u001b[39;00m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprints \u001b[38;5;241m=\u001b[39m _FlightPrints(\u001b[38;5;28mself\u001b[39m)\n", - "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:817\u001b[0m, in \u001b[0;36mFlight.__simulate\u001b[1;34m(self, verbose)\u001b[0m\n\u001b[0;32m 814\u001b[0m \u001b[38;5;66;03m# Step through simulation\u001b[39;00m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrunning\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 816\u001b[0m \u001b[38;5;66;03m# Execute solver step, log solution and function evaluations\u001b[39;00m\n\u001b[1;32m--> 817\u001b[0m \u001b[43mphase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 818\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msolution \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [[phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mt, \u001b[38;5;241m*\u001b[39mphase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39my]]\n\u001b[0;32m 819\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunction_evaluations\u001b[38;5;241m.\u001b[39mappend(phase\u001b[38;5;241m.\u001b[39msolver\u001b[38;5;241m.\u001b[39mnfev)\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:181\u001b[0m, in \u001b[0;36mOdeSolver.step\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 179\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 180\u001b[0m t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mt\n\u001b[1;32m--> 181\u001b[0m success, message \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_step_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m success:\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfailed\u001b[39m\u001b[38;5;124m'\u001b[39m\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\lsoda.py:152\u001b[0m, in \u001b[0;36mLSODA._step_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 150\u001b[0m itask \u001b[38;5;241m=\u001b[39m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m 151\u001b[0m integrator\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5\u001b[39m\n\u001b[1;32m--> 152\u001b[0m solver\u001b[38;5;241m.\u001b[39m_y, solver\u001b[38;5;241m.\u001b[39mt \u001b[38;5;241m=\u001b[39m \u001b[43mintegrator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 153\u001b[0m \u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msolver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjac\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ode.py:1346\u001b[0m, in \u001b[0;36mlsoda.run\u001b[1;34m(self, f, jac, y0, t0, t1, f_params, jac_params)\u001b[0m\n\u001b[0;32m 1343\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39macquire_new_handle()\n\u001b[0;32m 1344\u001b[0m args \u001b[38;5;241m=\u001b[39m [f, y0, t0, t1] \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcall_args[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m+\u001b[39m \\\n\u001b[0;32m 1345\u001b[0m [jac, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcall_args[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m], f_params, \u001b[38;5;241m0\u001b[39m, jac_params]\n\u001b[1;32m-> 1346\u001b[0m y1, t, istate \u001b[38;5;241m=\u001b[39m 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\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfun_single\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\Dell\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\scipy\\integrate\\_ivp\\base.py:20\u001b[0m, in \u001b[0;36mcheck_arguments..fun_wrapped\u001b[1;34m(t, y)\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfun_wrapped\u001b[39m(t, y):\n\u001b[1;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39masarray(\u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m, dtype\u001b[38;5;241m=\u001b[39mdtype)\n", - "File \u001b[1;32mE:\\books\\New folder\\MSc\\RocketPy\\development\\RocketPy\\rocketpy\\simulation\\flight.py:1375\u001b[0m, in \u001b[0;36mFlight.udot_rail1\u001b[1;34m(self, t, u, post_processing)\u001b[0m\n\u001b[0;32m 1371\u001b[0m _, _, z, vx, vy, vz, e0, e1, e2, e3, _, _, _ \u001b[38;5;241m=\u001b[39m u\n\u001b[0;32m 1373\u001b[0m \u001b[38;5;66;03m# Retrieve important quantities\u001b[39;00m\n\u001b[0;32m 1374\u001b[0m \u001b[38;5;66;03m# Mass\u001b[39;00m\n\u001b[1;32m-> 1375\u001b[0m total_mass_at_t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtotal_mass\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_value_opt\u001b[49m(t)\n\u001b[0;32m 1377\u001b[0m \u001b[38;5;66;03m# Get freestream speed\u001b[39;00m\n\u001b[0;32m 1378\u001b[0m free_stream_speed \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 1379\u001b[0m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_x\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vx) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1380\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39menv\u001b[38;5;241m.\u001b[39mwind_velocity_y\u001b[38;5;241m.\u001b[39mget_value_opt(z) \u001b[38;5;241m-\u001b[39m vy) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1381\u001b[0m \u001b[38;5;241m+\u001b[39m (vz) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1382\u001b[0m ) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m0.5\u001b[39m\n", - "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'get_value_opt'" - ] + "data": { + "image/png": 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05MzQtGlTKlasyOTJk+nRowfNmzenbt26vPvuu5w4cYIqVaqwatUqvv/+e/r06eM4olOqVCneffddRo0axaOPPsqzzz6Lh4cH27ZtIzQ0lLFjx6bYVqlSpVi1ahVPPPEEjRs3Zu3atfj7+/Pxxx/TtGlTKlSoQMeOHSlUqBBnz55l3bp1+Pv7O16hUr16deDGLfFt2rTBzc2N5s2bJ/tDftPChQtxcXGhWbNmt6z76aef5t1332Xx4sWpni6sXr06S5YsoW/fvjz44IP4+vre8ijKv7P17t2bxo0b4+LiQps2bQgICOD5559nxowZWCwWSpYsyfLly2/ZhI8dO5ZmzZpRp04dOnXqxJUrV5gxYwYVKlRI1iw+/vjjdOvWjbFjx7J7924aNWqEm5sbR44cYenSpUybNo3nnnvuljlvKlCgAHXr1mXy5MlERUXxwgsvJJu/du1aevbsyfPPP8/9999PYmIin3/+OS4uLpnepN+tjPi+SC5j5i1uIs5o0aJFRoMGDYzg4GDD1dXVCAoKMho0aGB8//33aVr+5m33N788PT2NwoULG0899ZQxb948Iy4uLtVlly1bZjRs2NAICgoyPDw8jFKlShn9+vW75S38Gf2k6pvmz5+f7BbwqKgo48033zRCQ0MNNzc3o3Tp0saECROS3Qp907x584xq1aoZHh4eRlBQkPH4448bYWFht93uli1bDD8/P+Oxxx4zYmJiDMO4cZv3s88+a+TNm9fw8PAwihUrZrRu3dpYs2ZNsmVHjRplFCpUyLBaranegp+QkGDkzZvXePTRR2/7PSlRooRRrVo1wzBufXt8dHS08dJLLxmBgYHJbn2/1S3ziYmJRq9evYz8+fMbFosl2S34ly5dMlq1amV4e3sbQUFBRrdu3Yx9+/alWIdhGMY333xjlCtXzvDw8DDKly9vfPvtt6k+qXru3LlG9erVDS8vL8PPz8+oVKmSMWDAAOPcuXO3rfumjz76yAAMPz8/IzY2Ntm8v/76y+jUqZNRsmRJw9PT08iTJ49Rt25dY/Xq1Wla9013c9v9tm3bko1L7bEWqf0+3Ov3RXIPi2Hc4ni2iIiISC6ia4hEREQk11NDJCIiIrmeGiIRERHJ9dQQiYiISK6nhkhERERyPTVEIiIikuvpwYxpYLfbOXfuHH5+fvf0Uk8RERHJOoZhEBUVRWhoKFbr7Y8BqSFKg3PnzqV4s7KIiIhkD6dPn77jS4jVEKXBzZdanj59Gn9//wxdt81mY9WqVY7Hyuc0Ob0+yPk1qr7sL6fXqPqyv8yqMTIykiJFitzypdn/pYYoDW6eJvP398+Uhsjb2xt/f/8c+YOe0+uDnF+j6sv+cnqNqi/7y+wa03K5iy6qFhERkVxPDZGIiIjkemqIREREJNdTQyQiIiK5nhoiERERyfXUEImIiEiup4ZIREREcj01RCIiIpLrqSESERGRXE8NkYiIiOR6aohEREQk11NDJCIiIrmeXu4qIpLDxcXGEvH3KdaELcJms2GzxWNLjCMh0YbNYsHLK4C8gXkpUrAkxYuVwcvb2+zIIllODZGISDYTde0aX3//IUev/Em0NRKbJQabJRabJY54azxx1kTirHbirQaxFoizWkh0tcCl1Fb4z9dpYCu42w3cDQMfO3jbrXjaXXC3u+FmuONmeOJh+OFDEAW9ivBwhfo8WPvxrCteJJOoIRIRcVKLvprF7nNbiXK5RKz1GjEuMVxzsfG3K8RbLRB0u6Ut/3ylMtcwsP4zIgkwLP8/NsFqIQEL0S43pyT98xUHRAIX/5m+nY8Pf4fvQTv5E634J3rhbffD25KPgl4lefLhF6hUtspdVi+StdQQiYiYLDIykg8XjuaM7SjRLhe55hrNRVcbV12tt2h6bjQuVsMgX6JBQJILXnZ33O0euBmeuBleuNt98MQDD4snfm5+BPrkITEa6tZ7ijz5Q/D29MXbx8exxtiYGC5dPMvZsye5HBFORNRVLl+/zNX4S1xPiiSe69gssSQSh80SR6xLHNEuNq64GES7WP/5AjxigVhuNEwHWLj5B0J/g3w2L3zteQhyKUq98s1p+PjTWfONFUkHNUQiIlksbO3/WLlnEZGu57nmGsEZ9wSivP97j8uNz8E2O/ltHvgk+eFh+OOTFEhBr6K0bNiOEveVSdP2bDYbK1asoETJ8ri5uaWY7+XtTdHipSlavHS6a9mx5VfW713Fmdi/uG65TKw1kkiXGC66JRHpYuWsO5x1jwPOAedYfmIzIUfeoWCCDwH2gpQOqMGrz/TB29c33dsWyUhqiEREMtm631awfOeXRLqe4ZLrFU542EkK+vfpLCvudoMiCVbyJPrjk5SXICOYxg8+wyMPNzUtd1pUr/U41WulvIbIMAz+t2oxG4+t4pr9DFEuV7nkFsd5NwvhbhbC3WKAY/xiP8aSrxZRNN6DoKSCVC3wBO2f7oWHp2fWFyO5mhoiEZFMMGZmf04b+/jbLZyjnokkBv67AbIQbLMTmuCLX1J+8iQV5qUmPShXtpJpeTOaxWLh6cYv8jQvJpu+YfNalu/8giv241xxu8IJ9xtHkvZ524BT/Ba7gCUL51Mkzp98luI8V7sbD1V7wowSJJdRQyQikgHOnjvD1K8GcdntBGc8rnLeL3kDVCDRTqF4XwISQyjmWZn+XUeZltVMdR6qR52H6jk+nz13hvkrpnA6bh+XXS9wzDORi65WLvpGA/tY80dPSm1xJTipCPXvb80zDV8xL7zkaGqIRETu0umzJ5i+dAh/ux3jmOc1rgbdvA7IgqthUCrOlXyJIRS2VKBPu+H4+PmZmtcZFQotzLuvTnJ8PnR0D5+tmcaFxMOcc7/KGXcLf3ol8Scn+PXceD6bO4EQWwiPFn+Ots26mphccho1RCIi6RB17Rpj5r1JuPshjnlG/KsJsuKfZKdUnC9BtqI0LPs8zRq3NjVrdlSmVGXGlPrE8fmTbyazLfxnLrie56inwTEPg2Me59n49wy++XAmoYnFeaaaGiO5d2qIRETSYNano9h7/TdOeJzjbJ6bp8Os+CXZKR3nR76Ekrz21BBKlypras6cpnOrvnSmLwD/W7uInw8u5oLLCQ55JnHEE45wnI2H36ZsrDvrP1pC/2cnUDCkkMmpJTtSQyQikoqjx/Yxc/kIwj2OctDTht3vxsMOPewG5WK9yR9fkleffIfyZXLOxdDOrHm9F2le78ZF2t+t+pxVRxZyxu0sJzws7PO2sY+9bPuxEWXi8lO3dFteatTF5MSSnaghEhH5jzmfjWVn1GoOe4VzOfD/rwsqHWchNL44jUu9QPMn25qaMbd7ptErPNPoxgXWMxeP4Y/LqzjseYkrrlY2+15m8/npfDdnFsWtlRj43CTy5SlgcmJxdmqIRESAyIgIxn8xgHMe+9nnHUOinwWwEpRop0xsfoobVXm311SzY8otdGv1FitWVKBGrWpM/99QTiT9wUFP2z8XY+9m+3d1KRtXhE6PD+XBig+bHVeclBoiEcnVTp09ztoTn/PphcEcy3NzqoVScRYKx5eic93+VK2kP6LZQYG8BRnXZT4AX61ewOpDn/Kn50X+drWywfcs27d1pdL6AJ4o/jLtnuxublhxOmqIRCRX2rztVz7fPJFjnsc5+89DE93tBhVjfSmcUIn3+nxkckK5F60btKN1g3acvXCaid/15Yj1T056WNjmE8n2i7P4afbHPBjUjL5tRpodVZyEGiIRyVWWr1zM8qPzOOh1liv+N9737pdkp0JMAar7Nea11982O6JkoELBRZjy2lIS4uMZu/gtDsZuYL+XjX3eCeyL/44tc/5HNd+GvP3yeLOjisnUEIlIrhC25ju+OTCHfT5nuOZnBazkS7RTNqYIZS2P8nq3Abd88ankDO4eHgxrPx2Aef+bzi+nF7LH+zoHvBI5kPQT2+f8TCXPxxj04kTcPTxMTitmUEMkIjnar7//zOKdU9nvdYqr/jcaoVCbwf0xpejecDilS1VgxYoVZseULNSpeW860ZvFYfNYeeRj/vCO5JCXnUP8wp75NXnQpylvv/y+2TEli6khEpEc6eDBP5ix+l0OeB/n8j9HhEJsdsrElOaN5mMoXaI8ADabzdygYpo2DTvRpmEnvv91Cd/vm8Ef3hEc9rRzOOlH/pi9inrFX6ZL075mx5QsooZIRHKUa1evMvyz1zjos5+z/jdunS+QaKdczH30aPQe5cpUNjuiOJkWj79Ai8df4Ptfl/Dd/qns8o5in7eN/Rfm8dsHS2hRuRet6rxsdkzJZGqIRCTHeGdyZw75bOdwkB2wEJBkp/L1YnR7fChVKj9kdjxxcjcbo3k/zmDNqc/Y4x3PLp8Y9h19n5V7PqFPsxlUKFbR7JiSSdQQiUi2N2X2u+w0wtidNxYAD7tBtZh8NCr0Cs936mxyOsluOjXrRSd6MXXZSDaGf8ufXkls9vmb11e/wAP2Cox5ZT5ent5mx5QMpoZIRLKtPX9s4YPfhrDT5yyx1huv2Kh23Ysq1Kdfj7Emp5Psrk/LofRIeJvhi3qwzfY7592srOYgfy2oRZ2gp3nr+ffMjigZSA2RiGRL/ae+zD6f3Zz95xUbpeMslI2uxZh+eqCiZBw3d3fea/8R5y+fZdRXXdjheZK/PKz8FfMDe2evpsujY3m0Yj2zY0oGUEMkItnKlDnvssNYxR9BcYCFoEQ7la+XZviLH5Ivf7DZ8SSHKpi3EB90X8G6P1bx2cZh7PSOYpd3DG9v7cWDv5fj/faf4+nhZXZMuQfWOw8RETHfpYvn6TG9GYs9lvGHdxxWw+DB6ABe9+/NzN7L1AxJlqhbpRHzX99Ee/9WFIuHSBcrazwO0Xb+Q3z883Sz48k9UEMkIk5v5JRevPZdE9YHnCLGaqVknIWnrtRmXo8NtHm+m9nxJBfq9+wIPn/pVx6LLYqn3eCwp51Z5+fS9YN6nLt81ux4chfUEImI0zqwfyfdZjbk+8B1HPa042W382hkEWY99SPv9dW1QmKuIN88zHrtR94tM5iKMW4kWixs8rnEq982ZuqyUWbHk3RSQyQiTmnIpC4M3Nie3/3CSbBaKB/rSqvrT/FBrxUUKlTE7HgiDi0fbsOCzptpZq9BUKKd0+4W5kcsuXG06O8zZseTNFJDJCJO5cTJI7w2ozE/5t3ECQ/wS7LzxLWSfNh6DQN7jjM7nsgtubm7837HTxlb+wOqxniS9M/Roi7fNWH2iglmx5M0UEMkIk7j/en96bfyOTb6n8NmsVAxxo0XE1szo/cyAvPkMTueyB09Uv5xPu++jSft1QlMsnPK3cLci5/x+odNiIqJMjue3IYaIhExXcSVK/Sc/gzL/H5yXCv0+LUSzH5hNb26DjM7nki6jes4n7G1ZlA5xoNEi4XfPM/S4fM6rNz1g9nRJBVqiETEVAsXzaLHkkb8GnCU61YrpeIstIioz8zeP+iokGRrdSrU44vXttGManjb7Rz2tDNy1yAGf/6q2dHkFtQQiYhpBk3qyKfXP2CPdzyuhsHDkcFMaLCYd9/U81wkZ7BYLLzffgHvVBhCyXgLUS5WvrdvocPs2pwIP2p2PPkXNUQikuUirlyh+4ymrMy7jQtuVkJsdppcrsWHvVZTqmR5s+OJZLgWNdsw/6VfeSQ2GIthsMM7mtf+15LP1s4yO5r8Qw2RiGSpTz+fQvclDdngf4ZEi4XKMR508O3B2H6fmB1NJFMF+gYx57XVtA9sSb5EO2fdLcw4OZsB8182O5qghkhEstDbkzryRfzH7PNOwM0wbjxk8YVVtG3zutnRRLJMv5ajmVR3HuVjXYm3WvjJ8gcdZz/M+avnzI6Wq6khEpEs0XP606zKu42LblYK2gyaXK7FB71W6MJpyZUeuK8WCzpt4tG4UCyGwXbvKLotbczybV+bHS3XUkMkIplq59YNdJz1ML8GHMdmsVApxp2Ovj0Zo1Nkkst5uHvyQbefaePTBP8kO8c94L29wxi15A2zo+VKaohEJNNMmTmEUbteZ7tvFBbD4OGoYKa0/J4X27xmdjQRp/HO8xMZ9sD7lIyzEO1iZWnsGnrOfYpEm83saLmKGiIRyRQDJ3Vgmde3HPU08E2y0yCiIh/2XE1wwcJmRxNxOo2qNueTl9byYIw/hsXCrx4n6fRxHc5ePm12tFzD1IZo/fr1NG/enNDQUCwWC8uWLXPMs9lsDBw4kEqVKuHj40NoaCjt2rXj3LnkF51duXKFtm3b4u/vT2BgIJ07dyY6OjrZmD179vDoo4/i6elJkSJFGD9+fFaUJ5Jr9ZrekrC827niaqVwgkHTiLpM7rPY7FgiTi2vXz4+6fYbDWxlcDEMdnnH8Po3T/Lr/lVmR8sVTG2Irl+/TpUqVZg1K+VzGGJiYti5cydDhgxh586dfPvttxw6dIinn3462bi2bduyf/9+wsLCWL58OevXr6dr166O+ZGRkTRq1IhixYqxY8cOJkyYwPDhw5k7d26m1yeS21wMP0+XmXX5JeCY43qhrvn6M7TvTLOjiWQLFquVKa9+TduA5vgn2fnLA0bvGMDOy+vMjpbjuZq58aZNm9K0adNbzgsICCAsLCzZtJkzZ1KzZk1OnTpF0aJFOXjwICtXrmTbtm3UqFEDgBkzZvDkk08yceJEQkNDWbhwIQkJCcybNw93d3cqVKjA7t27mTx5crLGSUTuzZrV/+PTIyP5wy8OgFrReXnv2S90ikzkLrz1zFjKbqvGnN0jOeVuZbl9NUlf9WR02w/NjpZjmdoQpde1a9ewWCwEBgYCsGnTJgIDAx3NEECDBg2wWq1s2bKFZ555hk2bNvHYY4/h7u7uGNO4cWPGjRvH1atXCQoKSrGd+Ph44uPjHZ8jIyOBG6fxbBl8kdvN9WX0ep1FTq8Pcn6Naanvg4/eY53LtxzzNnAxDOpElmRK96/vuJwzyOn7D3J+jTm1viZVn6FUSHlG/tiOfV42vk/8nehPWvP+S5/h4pqt/nzfUWbtw/SsL9t8R+Pi4hg4cCAvvvgi/v7+AISHh1OgQIFk41xdXcmTJw/h4eGOMSVKlEg2Jjg42DHvVg3R2LFjGTFiRIrpq1atwtvbO0Pq+a//Hg3LaXJ6fZDza0ytvm1/Lmdz3t+54GbFL8nOwxHVeLTk86xYsSKLE96bnL7/IOfXmFPre7bAILzDZ7DV5yprXA/y+rzGNC34Bu4u2eZPeJpl9D6MiYlJ89hs8d202Wy0bt0awzCYPXt2pm9v0KBB9O3b1/E5MjKSIkWK0KhRI0czllFsNhthYWE0bNgQNze3DF23M8jp9UHOr/F29b07/VV+y7+daBcrBW126kQ+zqBe00xKendy+v6DnF9jbqjPdaUrflcXs9ZlP9t8rxJ/cSzvPbuMQkHBZsfLEJm1D2+e4UkLp2+IbjZDJ0+eZO3atckakpCQEC5evJhsfGJiIleuXCEkJMQx5sKFC8nG3Px8c8x/eXh44OHhkWK6m5tbpv2yZea6nUFOrw9yfo3/ra/P1NZsyHOAeKuVUnEWmrq3o2vfgSYmvDc5ff9Bzq8xJ9dndbEyod0XjPl2ED/ErGSPVzxvLHuSwfXn82DJB8yOl2Eyeh+mZ11O/Ryim83QkSNHWL16NXnz5k02v3bt2kRERLBjxw7HtLVr12K326lVq5ZjzPr165OdRwwLC6NMmTK3PF0mInfWc/rTrAs8QLzVQsVYN7oVG0bXjtm3GRLJLoa9MJEuBbsTkGTnLw+Dd9e1Y9WetWbHyhFMbYiio6PZvXs3u3fvBuD48ePs3r2bU6dOYbPZeO6559i+fTsLFy4kKSmJ8PBwwsPDSUhIAKBcuXI0adKELl26sHXrVjZu3EjPnj1p06YNoaGhALz00ku4u7vTuXNn9u/fz5IlS5g2bVqyU2IikjZX/v6bbjMb8GvAcewWCw9c92Hoo/No0qSV2dFEco3XmvRgYOXxhNjsnHezMGZbL5Zu/sbsWNmeqafMtm/fTt26dR2fbzYp7du3Z/jw4fzwww8AVK1aNdly69at44knngBg4cKF9OzZk/r162O1WmnVqhXTp093jA0ICGDVqlX06NGD6tWrky9fPoYOHapb7kXSKfzcKYYub8d2vxvn5B+Kzsu4F74mT758JicTyX2a12hGkG8exvzWhdPuVqYeGMq161d4tX4Xs6NlW6Y2RE888QSGYaQ6/3bzbsqTJw9ffvnlbcdUrlyZ3377Ld35ROSGq1fCeffH99jlGwvAo5GF+aDXTyanEsnd6pStzXifrxn8U2uOeViZe2oqkT/8Td+nB5kdLVty6muIRMR8e3dvZXXcR+zyicXFMKh7rZSaIREnUbFIWaY/8yPl4lyJtVr54spCRi0ZYHasbEkNkYik6re1K5iwvRd/eMfjahg8ca0c03t/Z3YsEfmXovmLMPulNVSO9cJmsfB17AqGLHrD7FjZjhoiEbmllT8uYcbhd9jnbcPDbvDE1UpMfWOp2bFE5Bby+uVhbodfqR7rj91i4Yf4NQxe2NPsWNmKGiIRSeHrLz/m4zNjOOiVhKfd4ImrVRjfc4HZsUTkNnw8vZjbeR0PxgbeaIpsv/DOF93NjpVtqCESkWS+X/opi6Kmc8jTjrfdTt0rD/BoydZmxxKRNHB3c2dO5zXUjM2DYbGwPPE33l6gO8/SQg2RiDj8+N0XfH5lKoc9DXyT7NS7Uov3en9idiwRSQd3N3fmvrqGWrH5MCwWfjQ2M+CzjmbHcnpqiEQEuHHN0PwLEznkacfHbufxKzUZ22+e2bFE5C64uLry4athPBR34wXoP7GdAZ91NjmVc1NDJCKsW/MD806P5U+vJLztdh6/8iDv9//U7Fgicg9cXF2Z0/lnasfdeAHsSmML7y7sYXIq56WGSCSX+/WXn5hzZBgHvZLwstt5/MoDjOs33+xYIpIBXFxdmd15JbVi8964psj2K8OXvGV2LKekhkgkF9u5YyNzDr7LAa/Ef26tf4Dx/T43O5aIZKAbTdEqavxzS/73sT/x2Y+jzY7ldNQQieRS586cYOqWPv96zlBlxvdVMySSE7m5uTO74xpqxvmQaLEw/eJiFq+abHYsp6KGSCQXunzpEoO/b8sunzhcDYNHr1VkYt/bvxNQRLI3Tw9PZrRfwwNxniRYLUw++wnfr/vQ7FhOQw2RSC40aMkLbPONxGIY1Im8nyl9FpsdSUSygLenDzNfDqNynDuxVivjjk9n3fZvzY7lFNQQieQy3Wc8ySa/SwDUiSrGjN76P0OR3MTPJ5CZbVZSJt5KlIuVEX8MYfehDWbHMp0aIpFcpOf0Z9jgfxqA2lEF+KDXjyYnEhEzBAXkZ0rzrymaYHDZ1cqg317j+Nk/zY5lKjVEIrnEm1PbsMH/CAA1owMY+4JOk4nkZkUKlmZc3U/In2jnjJuFfj+25u+r4WbHMo0aIpFc4J2JHdkQsI8ki4Vq170Y3eIL8ubPb3YsETFZxVK1GPnAOPyT7BzxMHjjq2bExF03O5Yp1BCJ5HCjJvZiQ9BW4qwWysW60OOB8RQsXNzsWCLiJOpUe4q3S/XF025nj2cCfRY0Iikp0exYWU4NkUgO9vHckWwMWMdVVyvF4qGFTydqPfSE2bFExMk0f6wzvYLb4mIYbPKI5N3PnjU7UpZTQySSQ61fu4yfjG84624hX6KdR2Ma0faV3mbHEhEn1e7Jd2jn+RgAP7ocZ/KSXiYnylpqiERyoHOn/2Lun+9x+J831z9yuTYD+0wyO5aIOLm+bT7gyaRiACyIXceSsKnmBspCaohEcqBh33fkj3+eQl3nahVGD/jY7Egikk281+47asX7kmSxMO30R2zYnTsez6GGSCSH6TW9JZv9rgBQJ7KUXskhIuni6urGpJd+/P8HN24fyNHT+82OlenUEInkIAMntWej/1EAHorKx4zey8wNJCLZUoBvHiY8uYiCNoNwNwsDf3qJiKi/zY6VqdQQieQQYyb2ZlPgdmwWC5Vi3BnR4hOzI4lINlaicHlGPDgBvyQ7hz3svLu0BYbdbnasTKOGSCQH+GbxHH73///b658J7ExokfvMjiUi2VztKk15s2g3XA2D9S6RzPuxs9mRMo0aIpFs7tzpv/jm6kec9ICgRDsPRz7B8y++bnYsEckhnm/Qm0EF6wEw7fI21m+ZYnKizKGGSCSbG/Z9Z/Z6J+BmGDx0tTrv9J9hdiQRyWFaN5rG8x6hGBYLAw98wl/H15odKcOpIRLJxvpMfY7NfjcudHzkWknG919gciIRyZEsFgY98y0PGO5EWy28se4NIq+dMjtVhlJDJJJNDRnflU0BBwGoGR3EjDe+NzmRiORkbh4+TH5qEQWTDE64wIBlz5OUmGB2rAyjhkgkG/p8wTS2Bf1OjNVKmTgrbzw01uxIIpIL5M13P9MeGYOn3WAjMUxb9oLZkTKMGiKRbOZS+AVWXv/c8Y6y2jFNqFz9EbNjiUguUa7M04wq2RqAT68fJWzDGJMTZQw1RCLZzOCvX2GPdzyuhkHNq9Xp9+Y4syOJSC7T5LGhdPApBcCQI19y4sSvJie6d2qIRLKRfpNfZrPvOQAejizGOF1ELSImeaPFIqob7ly3WnhzXW9iYrL3k6zVEIlkE2Mm9GJL4C7sFgsPXPdmZJtPzY4kIrmYq5snE55cQN4kg6NWO6O/a52tn2SthkgkG9i+ZT3b/H/lmouVEvHQusgb5C1QwOxYIpLL5S9QgQkP9MXFMPhf4iWWru5rdqS7poZIJBuYs20IRz0NfOx2Hoh4jGbNXzI7kogIAA9W7UTvfDUBeP/cavYf/MbkRHdHDZGIk+s7pQ1b/K4AUDOyPMMHzDI5kYhIch2f/Ji6Vn9sFgv9Ng0n8tppsyOlmxoiESf2/qQ+bA3YC0CNaH+mv7HU5EQiIilZrFZGt1hCoSQ46wKj/tc2211PpIZIxEnt3b2Zbb7ruOZipXg8vHDfG2ZHEhFJlb9/YcbXGoKrYbAy6SrL1r5ldqR0UUMk4qSmb3iHw552vO12Hrj6CE2atjY7kojIbVWu0Joe/1xPNPb0z/z112qTE6WdGiIRJ9R/8kts8b0IQK3IMowYOMfkRCIiadOp6Vxq4UWs1cKAX/oRH3vV7EhpooZIxMlMnTmE7QF/YFgsVI/2Zfob35odSUQkzawurox58jOC7AaHXOxM3TjM7EhpooZIxIlcCg9nm8sKLrtaKZRg0Cy4m9mRRETSrUD+coyu0guAL86uY/2Z9SYnujM1RCJOZMRXXdnjnYCrYVA1oibPP9fB7EgiInflsQe68XK5lwEYsnEIV+KumJzo9tQQiTiJYeNeY6vfMQBqRofy/lvzTE4kInJv+lTvQ6nAUlyJu8LITSMxDMPsSKlSQyTiBLZuXs8fQb8Ta7Vyf5yVN+pOMDuSiMg983DxYOyjY3G1urLm1Bp+OPaD2ZFSpYZIxAl8tH04xzwMfJPsVL32GOUrVDE7kohIhiibpyyvV3kdgPe3vs+56HMmJ7o1NUQiJntrYge2/nOL/YNRZRgyYIbJiUREMlbHih2pkr8K0bZohmwcgt1wvqdYqyESMdGXi+awO3A7douFqte9dIu9iORIrlZXxtQZg5erF1vDt/LFgS/MjpSCGiIRE62+8jnhbhbyJdp5zP1Zs+OIiGSaov5F6V+jPwDTdk7j6NWjJidKTg2RiEn6T36Zbb6RAFSLrEKXV982OZGISOZ6/v7nqVOoDgn2BN7Z8A62JJvZkRzUEImYYOEXM9ntvwuA6td9mfzmlyYnEhHJfBaLhZEPjyTAI4CDVw4yd+9csyM5qCESMcHqa4u44GalgM3O497PmR1HRCTL5PfOz+BagwH4aM9H7L+83+REN6ghEsli/Sa3Zfs/p8qqRlahY4d+JicSEclaTUo0oVGxRiQZSQzeMJiEpASzI6khEslKn3w6gd3+uwGoEe3HpL46VSYiudPghwaTxzMPRyOOMmfvHLPjqCESyUq/xXzHRTcrwTY79fxbmx1HRMQ0QZ5BDK09FIAFBxdwOvG0qXnUEIlkkf6TX2aHbxQAVSOr8sorfcwNJCJisvpF6/PUfU9hN+x8E/MNcYlxpmVRQySSBf7342L2+u0GbtxVNrHvQnMDiYg4ibdrvk1+r/wEuwSTYDfvWiJX07Yskov8cPxDzvlZyJto5yHXZmbHERFxGgEeASxsspAta7fg7+5vWg4dIRLJZO+O68x230sAVIkuz2tdB5ucSETEueTzyofFYjE1gxoikUx0YP9O9gduI9FioWKMG0PazDQ7koiI3IKpDdH69etp3rw5oaGhWCwWli1blmy+YRgMHTqUggUL4uXlRYMGDThy5EiyMVeuXKFt27b4+/sTGBhI586diY6OTjZmz549PProo3h6elKkSBHGjx+f2aWJADBz7RCOeRp42+2Uj3qUfMHBZkcSEZFbMLUhun79OlWqVGHWrFm3nD9+/HimT5/OnDlz2LJlCz4+PjRu3Ji4uP+/Cr1t27bs37+fsLAwli9fzvr16+natatjfmRkJI0aNaJYsWLs2LGDCRMmMHz4cObOdZ7HhUvONGp8L3b4ngCgRlQxhgyYZm4gERFJlakXVTdt2pSmTZvecp5hGEydOpXBgwfTokULABYsWEBwcDDLli2jTZs2HDx4kJUrV7Jt2zZq1KgBwIwZM3jyySeZOHEioaGhLFy4kISEBObNm4e7uzsVKlRg9+7dTJ48OVnjJJKRIiMiOOC3kRirlVJxFgY8PdXsSCIichtOew3R8ePHCQ8Pp0GDBo5pAQEB1KpVi02bNgGwadMmAgMDHc0QQIMGDbBarWzZssUx5rHHHsPd3d0xpnHjxhw6dIirV69mUTWS2wz7tAv7vG24Ggblrz1IseL3mx1JRERuw2lvuw8PDwcg+D/XXAQHBzvmhYeHU6BAgWTzXV1dyZMnT7IxJUqUSLGOm/OCgoJSbDs+Pp74+HjH58jIG++dstls2Gy2eykrhZvry+j1OoucXh+krPHbbz5hj98BwEqN6/kY/uacbF1/Tt+HOb0+yPk1qr7sL7NqTM/6nLYhMtPYsWMZMWJEiumrVq3C29s7U7YZFhaWKet1Fjm9Pvj/Glf/vZiLflYKJNopE1+bFStWmJwsY+T0fZjT64OcX6Pqy/4yusaYmJg0j3XahigkJASACxcuULBgQcf0CxcuULVqVceYixcvJlsuMTGRK1euOJYPCQnhwoULycbc/HxzzH8NGjSIvn37Oj5HRkZSpEgRGjVqhL9/xj40ymazERYWRsOGDXFzc8vQdTuDnF4fJK9x7Mw+7CjwN2ChUnR53ug10ux49yyn78OcXh/k/BpVX/aXWTXePMOTFk7bEJUoUYKQkBDWrFnjaIAiIyPZsmUL3bt3B6B27dpERESwY8cOqlevDsDatWux2+3UqlXLMebdd9/FZrM5vslhYWGUKVPmlqfLADw8PPDw8Egx3c3NLdN+GDNz3c4gp9cHcOXSJQ75b8VmsVA+1pV3Wk/PUTXn9H2Y0+uDnF+j6sv+MrrG9KzL1Iuqo6Oj2b17N7t37wZuXEi9e/duTp06hcVioU+fPowePZoffviBvXv30q5dO0JDQ2nZsiUA5cqVo0mTJnTp0oWtW7eyceNGevbsSZs2bQgNDQXgpZdewt3dnc6dO7N//36WLFnCtGnTkh0BEskIE5b146BXEu52gzLXalLgX0c2RUTEuZl6hGj79u3UrVvX8flmk9K+fXvmz5/PgAEDuH79Ol27diUiIoI6deqwcuVKPD09HcssXLiQnj17Ur9+faxWK61atWL69OmO+QEBAaxatYoePXpQvXp18uXLx9ChQ3XLvWSog4c2sSfvQcDKA9cLMHLgh2ZHEhGRdDC1IXriiScwDCPV+RaLhZEjRzJyZOrXYeTJk4cvv/zyttupXLkyv/32213nFLmTo96b+NvVSojNTtPQV8yOIyIi6eS0zyESyS5GTH6dHb6XAagYXZFnn+1ociIREUkvNUQi9+io/w7Hy1un9FlidhwREbkLaohE7kG/yS+y/58nUpeMrHHnBURExCmpIRK5S79vWM0Bv70APHA9D8P63volxSIi4vzUEIncpS92TeaMu4WAJDslr+nokIhIdpauu8wOHjzI4sWL+e233zh58iQxMTHkz5+fatWq0bhxY1q1anXLBxqK5DRTpg/mD9+TgJUq10tQocLjZkcSEZF7kKYjRDt37qRBgwZUq1aNDRs2UKtWLfr06cOoUaN4+eWXMQyDd999l9DQUMaNG5fsxagiOdFel1+IdLFSNMHglZr9zY4jIiL3KE1HiFq1asVbb73F119/TWBgYKrjNm3axLRp05g0aRLvvPNORmUUcSrvjuvKzuAIwEK5qMpUf+CRHPMCVxGR3CpNDdHhw4fT9D6Q2rVrU7t2bWw22z0HE3FWRwO2kfTPbfYT+36pn3cRkRwgTafM0vuitZz+8jnJvfpNfpEDXom4GgaldSG1iEiOcVev7ti2bRvr1q3j4sWL2O32ZPMmT56cIcFEnM1fRw9y2HcfAA9cD2Lk23NNTiQiIhkl3Q3RmDFjGDx4MGXKlCE4OBiLxeKY9+9/i+Q0U1cM4kQA+CbZqWh7xOw4IiKSgdLdEE2bNo158+bRoUOHTIgj4px++GER+32OAFYqx4TyZp/3zY4kIiIZKN0PZrRarTzyiP7rWHKXn07O56KrlXyJdhoXfNHsOCIiksHS3RC9+eabzJqlVxRI7jFt+hD+8DkDQIXrpXi2VSeTE4mISEZL9ymz/v3706xZM0qWLEn58uVT3FH27bffZlg4EWew1+VXov55CGO3JwabHUdERDJBuhui3r17s27dOurWrUvevHl1IbXkaCPHvc6uAlcAC2WuV6BS5QfNjiQiIpkg3Q3RZ599xjfffEOzZs0yI4+IUznqt4MEq4UysVYGPK9HSoiI5FTpvoYoT548lCxZMjOyiDiVd8d1Zrf3dQBKRVcjpFAhkxOJiEhmSXdDNHz4cIYNG0ZMTExm5BFxGif8d2NYLFSOcef9/vPNjiMiIpko3afMpk+fzrFjxwgODqZ48eIpLqreuXNnhoUTMcugCR3ZUyABi2FQPLKq2XFERCSTpbshatmyZSbEEHEux313A1Alxpv3Bn5ibhgREcl06W6Ihg0blhk5RJzGgImvsD9/Ii6GQYmoambHERGRLJCma4gMw8jsHCJOwTAMjvvuBaDqdT9GDvzQ5EQiIpIV0tQQVahQgcWLF5OQkHDbcUeOHKF79+68/77e8yTZ01tTXuZPryTcDIMS0VXNjiMiIlkkTafMZsyYwcCBA3n99ddp2LAhNWrUIDQ0FE9PT65evcqBAwfYsGED+/fvp2fPnnTv3j2zc4tkuPNnznDM5+bRoQCGDZxtciIREckqaWqI6tevz/bt29mwYQNLlixh4cKFnDx5ktjYWPLly0e1atVo164dbdu2JSgoKLMzi2SK8Uvf4mgeAw+7Qenr1c2OIyIiWShdF1XXqVOHOnXqZFYWEdOcP3OGoz77AKgak4dBA6abnEhERLJSuh/MKJITjf+6Pyc8wMtu5/64WmbHERGRLKaGSHK982fOcNx7PwCVYvIxoN8EkxOJiEhWU0Mkud7Er97imAd42A1KxTxgdhwRETGBGiLJ1c6fOcNxnxtHhyrHBDHorSkmJxIRETOoIZJcbdJXAzniaeBuNyh5varZcURExCR31RAdO3aMwYMH8+KLL3Lx4kUAfvrpJ/bv35+h4UQy24l/7iyrEhPAuwNmmJxGRETMku6G6Ndff6VSpUps2bKFb7/9lujoaAD++OMPvedMspX+k17hkKcdV8OguJ5KLSKSq6W7IXr77bcZPXo0YWFhuLu7O6bXq1ePzZs3Z2g4kcx06p+nUleJ8WPowFkmpxERETOluyHau3cvzzzzTIrpBQoU4O+//86QUCKZbcDEdhz0SrpxdOhaZbPjiIiIydLdEAUGBnL+/PkU03ft2kWhQoUyJJRIZjv9z7VDlWN8GT5Ib7QXEcnt0t0QtWnThoEDBxIeHo7FYsFut7Nx40b69+9Pu3btMiOjSIZ6d1wn9nnbsBgGRSJ1dEhERO6iIRozZgxly5alSJEiREdHU758eR577DEefvhhBg8enBkZRTLUab8bR4cqxXoy+u25JqcRERFnkK6XuwK4u7vz0UcfMWTIEPbt20d0dDTVqlWjdOnSmZFPJEONeL87e0NiAAuFrlc0O46IiDiJdDdENxUtWpSiRYtmZBaRTHfKby+JFgtl4lwY33++2XFERMRJpKkh6tu3b5pXOHny5LsOI5KZJk4eyN6gq4CVojHlzI4jIiJOJE0N0a5du5J93rlzJ4mJiZQpUwaAw4cP4+LiQvXq1TM+oUgGOey+nVirleLx0P+58WbHERERJ5KmhmjdunWOf0+ePBk/Pz8+++wzgoKCALh69SodO3bk0UcfzZyUIvfoi8+mc8A7HLBSIrY0oUWKmB1JREScSLrvMps0aRJjx451NEMAQUFBjB49mkmTJmVoOJGM8nvkz1xzsRJss/PSg73MjiMiIk4m3Q1RZGQkly5dSjH90qVLREVFZUgokYz0+y+rOOx1AoAyMcV46OG65gYSERGnk+6G6JlnnqFjx458++23nDlzhjNnzvDNN9/QuXNnnn322czIKHJPFv8xhwtuVgKT7DyWt7nZcURExAml+7b7OXPm0L9/f1566SVsNtuNlbi60rlzZyZMmJDhAUXuxfkzZzjldQSAcjEhvNCpu8mJRETEGaW7IfL29uaDDz5gwoQJHDt2DICSJUvi4+OT4eFE7tWUxYM4lh/c7Qb3xVQyO46IiDipu34wo4+PD5Ur6z1Q4tzO+hwEoGKsL28PmGpuGBERcVrpbojq1q2LxWJJdf7atWvvKZBIRhk2thv7CsYBFgpFlTc7joiIOLF0N0RVq1ZN9tlms7F792727dtH+/btMyqXyD07438Qu8VCuVgXxgycZ3YcERFxYuluiKZMmXLL6cOHDyc6OvqeA4lkhJkzRrLP9zJgpXBsWbPjiIiIk0v3bfepefnll5k3T/8VLs5hv2UTMVYrhRMMXn/yXbPjiIiIk8uwhmjTpk14enpm1OpE7trO7b9zxPMUAPfFFqdUGd1dJiIit5fuU2b/ffiiYRicP3+e7du3M2TIkAwLJnK3Pts4lQuBVvyT7Dwc0NDsOCIikg2kuyHy9/dPdpeZ1WqlTJkyjBw5kkaNGmVoOJG7cdrzEADlY/PTtscbJqcREZHsIN0N0fz58zMhhkjGeGdcJ46E2HE1DIpGVjQ7joiIZBPpvobovvvu4/LlyymmR0REcN9992VIKJG7dc73xoMYy8d6MWTQTJPTiIhIdpHuhujEiRMkJSWlmB4fH8/Zs2czJJTI3Zgy5W32e0cBUFC32ouISDqk+ZTZDz/84Pj3zz//TEBAgONzUlISa9asoXjx4hkaTiQ9Drv+QZzVQpEEgz6tRpsdR0REspE0N0QtW7YEwGKxpHgitZubG8WLF2fSpEkZGk4krY78+Qd/eZ0GLJSIK07hYsXMjiQiItlImk+Z2e127HY7RYsW5eLFi47Pdrud+Ph4Dh06xFNPPZWh4ZKSkhgyZAglSpTAy8uLkiVLMmrUKAzDcIwxDIOhQ4dSsGBBvLy8aNCgAUeOHEm2nitXrtC2bVv8/f0JDAykc+fOeqp2DjP7p/c552bBx26nsstDZscREZFsJt3XEB0/fpx8+fJlRpYUxo0bx+zZs5k5cyYHDx5k3LhxjB8/nhkzZjjGjB8/nunTpzNnzhy2bNmCj48PjRs3Ji4uzjGmbdu27N+/n7CwMJYvX8769evp2rVrltQgWeP8P7faV4gJotvrg01OIyIi2U2aTplNnz6drl274unpyfTp0287tnfv3hkSDOD333+nRYsWNGvWDIDixYuzaNEitm7dCtw4OjR16lQGDx5MixYtAFiwYAHBwcEsW7aMNm3acPDgQVauXMm2bduoUaMGADNmzODJJ59k4sSJhIaGZlheMcew919jf0gCYKFglC6mFhGR9EtTQzRlyhTatm2Lp6dnqi93hRvXF2VkQ/Twww8zd+5cDh8+zP33388ff/zBhg0bmDx5MnDjaFV4eDgNGjRwLBMQEECtWrXYtGkTbdq0YdOmTQQGBjqaIYAGDRpgtVrZsmULzzzzTIrtxsfHEx8f7/gcGRkJgM1mw2azZVh9N9f57//NabKivrN+f2L881b7Yf1mZ/n3Uvswe8vp9UHOr1H1ZX+ZVWN61pemhuj48eO3/Hdme/vtt4mMjKRs2bK4uLiQlJTEe++9R9u2bQEIDw8HIDg4ONlywcHBjnnh4eEUKFAg2XxXV1fy5MnjGPNfY8eOZcSIESmmr1q1Cm9v73uu61bCwsIyZb3OIrPqO/LnVg7mvwRYCY0tzYoVKzJlO2mhfZi95fT6IOfXqPqyv4yuMSYmJs1j0/2k6pEjR9K/f/8UjUFsbCwTJkxg6NCh6V1lqr766isWLlzIl19+SYUKFdi9ezd9+vQhNDQ0xZ1uGWnQoEH07dvX8TkyMpIiRYrQqFEj/P39M3RbNpuNsLAwGjZsiJubW4au2xlkdn19T35KpIuVAol2Wj/4Gg/WeizDt3En2ofZW06vD3J+jaov+8usGm+e4UmLdDdEI0aM4LXXXkvREMXExDBixIgMbYjeeust3n77bdq0aQNApUqVOHnyJGPHjqV9+/aEhIQAcOHCBQoWLOhY7sKFC1StWhWAkJAQLl68mGy9iYmJXLlyxbH8f3l4eODh4ZFiupubW6b9MGbmup1BZtV31uMvAErFFuThOvUzfP3poX2YveX0+iDn16j6sr+MrjE960r3XWaGYSR7uetNf/zxB3ny5Env6m4rJiYGqzV5RBcXF+x2OwAlSpQgJCSENWvWOOZHRkayZcsWateuDUDt2rWJiIhgx44djjFr167FbrdTq1atDM0rWeud9ztxxNPAxTAoFKmLqUVE5O6l+QhRUFAQFosFi8XC/fffn6wpSkpKIjo6mtdeey1DwzVv3pz33nuPokWLUqFCBXbt2sXkyZPp1KkTcOMi7j59+jB69GhKly5NiRIlGDJkCKGhoY4HSZYrV44mTZrQpUsX5syZg81mo2fPnrRp00Z3mGVzF/wOA1A+1oOh7+i9ZSIicvfS3BBNnToVwzDo1KkTI0aMSPbqDnd3d4oXL+44KpNRZsyYwZAhQ3j99de5ePEioaGhdOvWLdlpuQEDBnD9+nW6du1KREQEderUYeXKlXh6ejrGLFy4kJ49e1K/fn2sViutWrW64+MDxLl99cUs/vS6ClgJjrvf7DgiIpLNpbkhunkRc4kSJXj44Yez5Dymn58fU6dOZerUqamOsVgsjBw5kpEjR6Y6Jk+ePHz55ZeZkFDMsvHyaiIDreRPtNP2kZ5mxxERkWwuTQ3Rv6/SrlatGrGxscTGxt5ybEbfhSVyK2c8b15MHUKNmo+YnEZERLK7NDVEgYGBt7yQ+t9uXmydlJSUIcFEUjP4/S4cLmjHahgUjNTpMhERuXdpaojWrVuX2TlE0izc78Z7y8rFujPindkmpxERkZwgTQ3R448/nqaV7du3757CiNzJD0vn8afXZcBKwfhSZscREZEcIt3PIfqvqKgo5s6dS82aNalSpUpGZBJJ1epzK7jmYiVvop3nq3UyO46IiOQQd90QrV+/nvbt21OwYEEmTpxIvXr12Lx5c0ZmE0kh3OMoAPfHFuDhx5uYnEZERHKKdL26Izw8nPnz5/PJJ58QGRlJ69atiY+PZ9myZZQvXz6zMooAMPK9bvxZKBGwEByli6lFRCTjpPkIUfPmzSlTpgx79uxh6tSpnDt3jhkzZmRmNpFkzvv/hWGxUDrOyqhBH5odR0REcpA0HyH66aef6N27N927d6d06dKZmUkkhYjLlznpeR6wEJJQ3Ow4IiKSw6T5CNGGDRuIioqievXq1KpVi5kzZ/L3339nZjYRh/Gf9OO0uwV3u0FJm17kKiIiGSvNDdFDDz3ERx99xPnz5+nWrRuLFy8mNDQUu91OWFgYUVFRmZlTcrmL3jcupi4T50m/vuNMTiMiIjlNuu8y8/HxoVOnTmzYsIG9e/fSr18/3n//fQoUKMDTTz+dGRkll9v++waOeF0FIH+Cnj0kIiIZ756eQ1SmTBnGjx/PmTNnWLRoUUZlEklm8eaZXHG14p9kp2EJNd0iIpLx7vnBjAAuLi60bNmSH374ISNWJ5LMxX9e5Fo6NpCnnn7J5DQiIpITZUhDJJJZPpgxkoNe1wHIH6u7G0VEJHOoIRKn9qd9J3FWKyE2g97PDTc7joiI5FBqiMRpJdntXPA4AUCx+GCKFC9uah4REcm51BCJ0xo9tgd/eiYCEBJV0uQ0IiKSk6khEqd1wf8v7BYLJeMsjH57rtlxREQkB1NDJE4pOj6W0x7nACiYUNTkNCIiktOpIRKnNHZKD054gIthUPS63mwvIiKZSw2ROKWLvscAKBfrwaC3J5ucRkREcjo1ROJ01m74iWNeN14cnD/hPpPTiIhIbqCGSJzOT1u/4JKrFd8kOw/nrWt2HBERyQXUEInTueh543TZ/XH+tHn5dZPTiIhIbqCGSJzKrJnDOeQVBUD+OL3ZXkREsoYaInEqh5P2ct1qJX+inW5N+5odR0REcgk1ROJULrofB+C+uAKULlfN5DQiIpJbqCESpzF0RFf+9EoAoEC0XtUhIiJZRw2ROI2/85wm0WKhRDyMGfix2XFERCQXUUMkTuHU8eOc8zgLQKGEwianERGR3EYNkTiFuYvf45iHgYthUOBKMbPjiIhILqOGSJzCRb8bzx4qE+fGiKFzTE4jIiK5jRoiMd13Cxdx3PMiAAUSSpicRkREciM1RGK6TedXEO5mxdtup0SMHsYoIiJZTw2RmO6S1z+ny2J96fv2eJPTiIhIbqSGSEw1flQ/DnldA/SqDhERMY8aIjHVOb/TRLlYyZtop+59Tc2OIyIiuZQaIjHVRY8bp8tKxuXlqZYvm5xGRERyKzVEYpqRQ7ryp1c8APmjdbpMRETMo4ZITHMh/zlsFgtF42HsgE/MjiMiIrmYGiIxzTmPUwAUiQ/FYrGYnEZERHIzNURiisFjOnPU08BqGARHFDU7joiI5HJqiMQUF/yPA1A2zo0RQz4yOY2IiOR2aogky63432KOe14AIDjhPpPTiIiIqCESE6w7vJwL/7yqI+RyiNlxRERE1BBJ1rvkeePZQ2Vj/XhnxCyT04iIiKghkiw2dsQb/OkdCehVHSIi4jzUEEmWOh94hutWKwVsduqWesrsOCIiIoAaIsliF93/AuC+uAI0e7qNyWlERERuUEMkWWbEqC786WUDIDi6pMlpRERE/p8aIsky4YGnSbJYKBVnYfTbH5sdR0RExEENkWSJLWt/4aTnGQAKJujJ1CIi4lzUEEmW+N/ezzntbsHDblDg78JmxxEREUlGDZFkiQteRwAoH+vD8BFzTE4jIiKSnBoiyXS7ti3n4D/PHioQV9rkNCIiIimpIZJM93eBi8RYrRS02Xm+ciez44iIiKSghkgy3TmPG2+2LxEbSq0G9UxOIyIikpIaIslUwye/xhFPA6thEBxR3Ow4IiIit6SGSDLVBd9/LqaOc2fkkI9MTiMiInJraogk08yePILDnpcBCNaLXEVExImpIZJMc8i6n6uuVoIS7dxvL2d2HBERkVSpIZJME+55FID74/LSpddgk9OIiIikzukborNnz/Lyyy+TN29evLy8qFSpEtu3b3fMNwyDoUOHUrBgQby8vGjQoAFHjhxJto4rV67Qtm1b/P39CQwMpHPnzkRHR2d1KbnKkNGvcsAzAYDgKD17SEREnJtTN0RXr17lkUcewc3NjZ9++okDBw4wadIkgoKCHGPGjx/P9OnTmTNnDlu2bMHHx4fGjRsTFxfnGNO2bVv2799PWFgYy5cvZ/369XTt2tWMknKN8MBjGBYLZWNdqFnuabPjiIiI3Jar2QFuZ9y4cRQpUoRPP/3UMa1EiRKOfxuGwdSpUxk8eDAtWrQAYMGCBQQHB7Ns2TLatGnDwYMHWblyJdu2baNGjRoAzJgxgyeffJKJEycSGhqatUXlArMnj+BQwEXASsF4XUwtIiLOz6kboh9++IHGjRvz/PPP8+uvv1KoUCFef/11unTpAsDx48cJDw+nQYMGjmUCAgKoVasWmzZtok2bNmzatInAwEBHMwTQoEEDrFYrW7Zs4Zlnnkmx3fj4eOLj4x2fIyNvvHbCZrNhs9kytMab68vo9ZrpT5c9XHW1kifRzn3xZYCcVd9/5cR9+G+qL/vL6TWqvuwvs2pMz/qcuiH666+/mD17Nn379uWdd95h27Zt9O7dG3d3d9q3b094eDgAwcHByZYLDg52zAsPD6dAgQLJ5ru6upInTx7HmP8aO3YsI0aMSDF91apVeHt7Z0RpKYSFhWXKes1wzuMYAPfHFqBEmZpAzqovNTm9RtWX/eX0GlVf9pfRNcbExKR5rFM3RHa7nRo1ajBmzBgAqlWrxr59+5gzZw7t27fPtO0OGjSIvn37Oj5HRkZSpEgRGjVqhL+/f4Zuy2azERYWRsOGDXFzc8vQdZth+KTu/FkwCathUPBqSRp2apij6ruVnLYP/0v1ZX85vUbVl/1lVo03z/CkhVM3RAULFqR8+fLJppUrV45vvvkGgJCQEAAuXLhAwYIFHWMuXLhA1apVHWMuXryYbB2JiYlcuXLFsfx/eXh44OHhkWK6m5tbpv0wZua6s1K43yHg5pOpP3Ycrswp9d1OTq9R9WV/Ob1G1Zf9ZXSN6VmXU99l9sgjj3Do0KFk0w4fPkyxYsWAGxdYh4SEsGbNGsf8yMhItmzZQu3atQGoXbs2ERER7NixwzFm7dq12O12atWqlQVV5B5jR/TmoNcVAEJi7zc5jYiISNo59RGiN998k4cffpgxY8bQunVrtm7dyty5c5k7dy4AFouFPn36MHr0aEqXLk2JEiUYMmQIoaGhtGzZErhxRKlJkyZ06dKFOXPmYLPZ6NmzJ23atNEdZhnsbNBJolysBNvsPJSvrtlxRERE0sypG6IHH3yQ7777jkGDBjFy5EhKlCjB1KlTadu2rWPMgAEDuH79Ol27diUiIoI6deqwcuVKPD09HWMWLlxIz549qV+/PlarlVatWjF9+nQzSsrRzngeB6BkbCgvvNrN5DQiIiJp59QNEcBTTz3FU089lep8i8XCyJEjGTlyZKpj8uTJw5dffpkZ8eQfAya251h+AzfDIPjqfWbHERERSRenvoZIso/z3gcAqBjjw8ihH5qcRkREJH3UEMk9GzqqK/u8YwEIva632ouISPajhkju2fmgIyRaLJSOs/D+W/PNjiMiIpJuaojknowb8SYHvW8856lInG61FxGR7EkNkdyT00F/cc3FSoFEO5U9apodR0RE5K6oIZK7tnn1Wk54/gVA6dhCdH5tgMmJRERE7o4aIrlrX+/5lJMe4GE3CLlY3Ow4IiIid00Nkdy1c17/3Gof68fwkXNNTiMiInL31BDJXXl37Kvs84oHIDRKt9qLiEj2poZI7spZ//0YFgsVY9wYM3Ce2XFERETuiRoiSbdho7qwxycKgMIxFU1OIyIicu/UEEm6nctzBJvFQqk4CxP6LTA7joiIyD1TQyTpMnJwN/Z5XQKgeKyuHRIRkZxBDZGky7ngk0S7WCmUYFC/RAuz44iIiGQINUSSZlPGvc0h79MAlIq9j6davGRyIhERkYyhhkjS7JjXQf52tZIn0U6xSL23TEREcg41RJImH88ez2HvowCUiynMW4MnmpxIREQk46ghkjT5w7aJ825WApLshF4obnYcERGRDKWGSO7oy89mc8TrCAAVYkIZOvpDkxOJiIhkLDVEckebr63mrLsF/yQ7hS6WNDuOiIhIhlNDJLf1v+8+54jXIQAqxhRk6Mg5JicSERHJeGqI5LZWn/qeM+4W/JLsFLxU2uw4IiIimUINkaTqy89mc9T7TwAqxgQzfMRskxOJiIhkDjVEkqpN11Zxyt2Cb5KdQhdLmR1HREQk06ghklua/P7bHPQ+DEDlmFCGjZxrciIREZHMo4ZIbumoz14uuN14KnWRi7p2SEREcjY1RJLC6CHd2Od9AoCK14szeOQH5gYSERHJZGqIJIXTwce46molxGandFxls+OIiIhkOjVEkszwYV3Z430egHLX76fPgLEmJxIREcl8aogkmVMF9hPtYqVYPDQs1srsOCIiIllCDZE4vDPuVXb6XAOgbHRlmrd82eREIiIiWUMNkTgcC9hBksVCxRh3JvZdaHYcERGRLKOGSAB4c8qLHPBKxNUwKBlRzew4IiIiWUoNkTBzwhAO+u4F4IHreRg96GOTE4mIiGQtNUTCfs9tnHW3EJhkp8jFCmbHERERyXJqiHK5oaNeZYfvaQAqXy+pF7iKiEiupIYolzuabxexViul4yw0Kfyc2XFERERMoYYoF+sztTV7vRNwNQzKRNSg+TPtzI4kIiJiCjVEudTIIV3Z67cfgOrReRk7cJ7JiURERMyjhiiXOhmyn4uuVoJtdopdqGh2HBEREVOpIcqF+k9uy1bfSAAqR1VmyKhZJicSERExlxqiXGbE4G7s9t8NQPXrvkx+c5G5gURERJyAGqJc5njoHi643ThVVuJcZbPjiIiIOAU1RLnIm1NfYIdPNABVI6sxbPSHJicSERFxDmqIcomho7qw1X8fADWjA5jY9wuTE4mIiDgPNUS5wIcz32N/ga1EulgpHg9lLj1odiQRERGnooYoF9jOag572vG226l8uRYDhk8xO5KIiIhTUUOUw7059QU2+/0NQK3IsrynN9mLiIikoIYoBxs0rhO/B9y4bqhGtD/T3/jG5EQiIiLOSQ1RDjVseDe25d1CjNVKmTgXql6vZ3YkERERp6WGKAcaPfR19hbc5HjeUMVzNXljwCizY4mIiDgtNUQ5zIzJo9hfcDNHPA18k+w8eLkWw0fMNTuWiIiIU1NDlIMs+2YB2z2Xs8/bhofdoM7VB/QWexERkTRwNTuAZIwvPp3J6tgv2OkTg4thUOdaBSb0+9zsWCIiItmCGqIcYM700fzu+gO7fGKxGgaPRpZmap8lZscSERHJNtQQZXMjh3TlYOh29nnbcDEMHr9Whmm6vV5ERCRd1BBlY8NGdWFXkc0c9wB3u8Gj18oztc9XZscSERHJdtQQZVP9Jrdle+hurrhaCUyyU/tKdcb3X2B2LBERkWxJDVE2M374mxzJv4stef7GsFgpkmBQ7UJt3husV3KIiIjcLTVE2Uj/yW3ZV+gPzrpbAAvVo30pcb4yw0Z/aHY0ERGRbE0NUTbw9oQOnPTdw768NsBCUKKdatHlmPbG12ZHExERyRHUEDmpEe904XLwZc57/MWfBZIAsBoGD1z3p1h4BYaP+sjkhCIiIjlHtmqI3n//fQYNGsQbb7zB1KlTAYiLi6Nfv34sXryY+Ph4GjduzAcffEBwcLBjuVOnTtG9e3fWrVuHr68v7du3Z+zYsbi6mlv+B1NHcCHqLInuSfx+5Dvi3KKIdblKhOsVjpVOJMFqAW40QpVjvCkaWZn33ta1QiIiIhkt2zRE27Zt48MPP6Ry5crJpr/55pv8+OOPLF26lICAAHr27Mmzzz7Lxo0bAUhKSqJZs2aEhITw+++/c/78edq1a4ebmxtjxowxoxSH89dPs6zollTmWgi22bkvLpgCESUZPVhHhERERDJLtmiIoqOjadu2LR999BGjR492TL927RqffPIJX375JfXq1QPg008/pVy5cmzevJmHHnqIVatWceDAAVavXk1wcDBVq1Zl1KhRDBw4kOHDh+Pu7m5WWbjGWrAaBt52A28D/JJcCEj0xjspD3ljQni8VEsatnratHwiIiK5RbZoiHr06EGzZs1o0KBBsoZox44d2Gw2GjRo4JhWtmxZihYtyqZNm3jooYfYtGkTlSpVSnYKrXHjxnTv3p39+/dTrVq1FNuLj48nPj7e8TkyMhIAm82GzWbLsLpqVX6SGrbGJPq60bBhQ9zc3FKMycjtmeFm/uxex+3k9BpVX/aX02tUfdlfZtWYnvU5fUO0ePFidu7cybZt21LMCw8Px93dncDAwGTTg4ODCQ8Pd4z5dzN0c/7NebcyduxYRowYkWL6qlWr8Pb2vpsybs3DeuMLCAsLy7j1OqGcXh/k/BpVX/aX02tUfdlfRtcYExOT5rFO3RCdPn2aN954g7CwMDw9PbNsu4MGDaJv376Oz5GRkRQpUoRGjRrh7++foduy2WyEhYWleoQou8vp9UHOr1H1ZX85vUbVl/1lVo03z/CkhVM3RDt27ODixYs88MADjmlJSUmsX7+emTNn8vPPP5OQkEBERESyo0QXLlwgJCQEgJCQELZu3ZpsvRcuXHDMuxUPDw88PDxSTHdzc8u0H8bMXLczyOn1Qc6vUfVlfzm9RtWX/WV0jelZlzXDtpoJ6tevz969e9m9e7fjq0aNGrRt29bxbzc3N9asWeNY5tChQ5w6dYratWsDULt2bfbu3cvFixcdY8LCwvD396d8+fJZXpOIiIg4H6c+QuTn50fFihWTTfPx8SFv3ryO6Z07d6Zv377kyZMHf39/evXqRe3atXnooYcAaNSoEeXLl+eVV15h/PjxhIeHM3jwYHr06HHLo0AiIiKS+zh1Q5QWU6ZMwWq10qpVq2QPZrzJxcWF5cuX0717d2rXro2Pjw/t27dn5MiRJqYWERERZ5LtGqJffvkl2WdPT09mzZrFrFmzUl2mWLFirFixIpOTiYiISHbl1NcQiYiIiGQFNUQiIiKS66khEhERkVxPDZGIiIjkemqIREREJNdTQyQiIiK5nhoiERERyfWy3XOIzGAYBpC+l8Sllc1mIyYmhsjIyBz5jpqcXh/k/BpVX/aX02tUfdlfZtV48+/2zb/jt6OGKA2ioqIAKFKkiMlJREREJL2ioqIICAi47RiLkZa2KZez2+2cO3cOPz8/LBZLhq47MjKSIkWKcPr0afz9/TN03c4gp9cHOb9G1Zf95fQaVV/2l1k1GoZBVFQUoaGhWK23v0pIR4jSwGq1Urhw4Uzdhr+/f479QYecXx/k/BpVX/aX02tUfdlfZtR4pyNDN+miahEREcn11BCJiIhIrqeGyGQeHh4MGzYMDw8Ps6NkipxeH+T8GlVf9pfTa1R92Z8z1KiLqkVERCTX0xEiERERyfXUEImIiEiup4ZIREREcj01RCIiIpLrqSHKArNmzaJ48eJ4enpSq1Yttm7detvxS5cupWzZsnh6elKpUiVWrFiRRUnTZ+zYsTz44IP4+flRoEABWrZsyaFDh267zPz587FYLMm+PD09syhx+g0fPjxF3rJly952meyy/wCKFy+eoj6LxUKPHj1uOT477L/169fTvHlzQkNDsVgsLFu2LNl8wzAYOnQoBQsWxMvLiwYNGnDkyJE7rje9v8eZ5Xb12Ww2Bg4cSKVKlfDx8SE0NJR27dpx7ty5267zbn7OM8ud9l+HDh1SZG3SpMkd1+ss+w/uXOOtfictFgsTJkxIdZ3OtA/T8rchLi6OHj16kDdvXnx9fWnVqhUXLly47Xrv9nc3rdQQZbIlS5bQt29fhg0bxs6dO6lSpQqNGzfm4sWLtxz/+++/8+KLL9K5c2d27dpFy5YtadmyJfv27cvi5Hf266+/0qNHDzZv3kxYWBg2m41GjRpx/fr12y7n7+/P+fPnHV8nT57MosR3p0KFCsnybtiwIdWx2Wn/AWzbti1ZbWFhYQA8//zzqS7j7Pvv+vXrVKlShVmzZt1y/vjx45k+fTpz5sxhy5Yt+Pj40LhxY+Li4lJdZ3p/jzPT7eqLiYlh586dDBkyhJ07d/Ltt99y6NAhnn766TuuNz0/55npTvsPoEmTJsmyLlq06LbrdKb9B3eu8d+1nT9/nnnz5mGxWGjVqtVt1+ss+zAtfxvefPNN/ve//7F06VJ+/fVXzp07x7PPPnvb9d7N7266GJKpatasafTo0cPxOSkpyQgNDTXGjh17y/GtW7c2mjVrlmxarVq1jG7dumVqzoxw8eJFAzB+/fXXVMd8+umnRkBAQNaFukfDhg0zqlSpkubx2Xn/GYZhvPHGG0bJkiUNu91+y/nZbf8Bxnfffef4bLfbjZCQEGPChAmOaREREYaHh4exaNGiVNeT3t/jrPLf+m5l69atBmCcPHky1THp/TnPKreqr3379kaLFi3StR5n3X+GkbZ92KJFC6NevXq3HeOs+9AwUv5tiIiIMNzc3IylS5c6xhw8eNAAjE2bNt1yHXf7u5seOkKUiRISEtixYwcNGjRwTLNarTRo0IBNmzbdcplNmzYlGw/QuHHjVMc7k2vXrgGQJ0+e246Ljo6mWLFiFClShBYtWrB///6siHfXjhw5QmhoKPfddx9t27bl1KlTqY7NzvsvISGBL774gk6dOt32JcbZbf/92/HjxwkPD0+2jwICAqhVq1aq++hufo+dybVr17BYLAQGBt52XHp+zs32yy+/UKBAAcqUKUP37t25fPlyqmOz+/67cOECP/74I507d77jWGfdh//927Bjxw5sNluyfVK2bFmKFi2a6j65m9/d9FJDlIn+/vtvkpKSCA4OTjY9ODiY8PDwWy4THh6ervHOwm6306dPHx555BEqVqyY6rgyZcowb948vv/+e7744gvsdjsPP/wwZ86cycK0aVerVi3mz5/PypUrmT17NsePH+fRRx8lKirqluOz6/4DWLZsGREREXTo0CHVMdlt//3Xzf2Qnn10N7/HziIuLo6BAwfy4osv3vaFmen9OTdTkyZNWLBgAWvWrGHcuHH8+uuvNG3alKSkpFuOz877D+Czzz7Dz8/vjqeTnHUf3upvQ3h4OO7u7ima9Dv9bbw5Jq3LpJfedi8ZokePHuzbt++O56xr165N7dq1HZ8ffvhhypUrx4cffsioUaMyO2a6NW3a1PHvypUrU6tWLYoVK8ZXX32Vpv9iy04++eQTmjZtSmhoaKpjstv+y81sNhutW7fGMAxmz55927HZ6ee8TZs2jn9XqlSJypUrU7JkSX755Rfq169vYrLMMW/ePNq2bXvHmxecdR+m9W+DM9ARokyUL18+XFxcUlw5f+HCBUJCQm65TEhISLrGO4OePXuyfPly1q1bR+HChdO1rJubG9WqVePo0aOZlC5jBQYGcv/996eaNzvuP4CTJ0+yevVqXn311XQtl9323839kJ59dDe/x2a72QydPHmSsLCw2x4dupU7/Zw7k/vuu498+fKlmjU77r+bfvvtNw4dOpTu30twjn2Y2t+GkJAQEhISiIiISDb+Tn8bb45J6zLppYYoE7m7u1O9enXWrFnjmGa321mzZk2y/8r+t9q1aycbDxAWFpbqeDMZhkHPnj357rvvWLt2LSVKlEj3OpKSkti7dy8FCxbMhIQZLzo6mmPHjqWaNzvtv3/79NNPKVCgAM2aNUvXctlt/5UoUYKQkJBk+ygyMpItW7akuo/u5vfYTDeboSNHjrB69Wry5s2b7nXc6efcmZw5c4bLly+nmjW77b9/++STT6hevTpVqlRJ97Jm7sM7/W2oXr06bm5uyfbJoUOHOHXqVKr75G5+d+8muGSixYsXGx4eHsb8+fONAwcOGF27djUCAwON8PBwwzAM45VXXjHefvttx/iNGzcarq6uxsSJE42DBw8aw4YNM9zc3Iy9e/eaVUKqunfvbgQEBBi//PKLcf78ecdXTEyMY8x/6xsxYoTx888/G8eOHTN27NhhtGnTxvD09DT2799vRgl31K9fP+OXX34xjh8/bmzcuNFo0KCBkS9fPuPixYuGYWTv/XdTUlKSUbRoUWPgwIEp5mXH/RcVFWXs2rXL2LVrlwEYkydPNnbt2uW4y+r99983AgMDje+//97Ys2eP0aJFC6NEiRJGbGysYx316tUzZsyY4fh8p99jZ6kvISHBePrpp43ChQsbu3fvTvZ7GR8fn2p9d/o5d5b6oqKijP79+xubNm0yjh8/bqxevdp44IEHjNKlSxtxcXGp1udM+88w7vwzahiGce3aNcPb29uYPXv2LdfhzPswLX8bXnvtNaNo0aLG2rVrje3btxu1a9c2ateunWw9ZcqUMb799lvH57T87t4LNURZYMaMGUbRokUNd3d3o2bNmsbmzZsd8x5//HGjffv2ycZ/9dVXxv3332+4u7sbFSpUMH788ccsTpw2wC2/Pv30U8eY/9bXp08fx/ciODjYePLJJ42dO3dmffg0euGFF4yCBQsa7u7uRqFChYwXXnjBOHr0qGN+dt5/N/38888GYBw6dCjFvOy4/9atW3fLn8ubddjtdmPIkCFGcHCw4eHhYdSvXz9F7cWKFTOGDRuWbNrtfo+z0u3qO378eKq/l+vWrXOs47/13ennPCvdrr6YmBijUaNGRv78+Q03NzejWLFiRpcuXVI0Ns68/wzjzj+jhmEYH374oeHl5WVERETcch3OvA/T8rchNjbWeP31142goCDD29vbeOaZZ4zz58+nWM+/l0nL7+69sPyzUREREZFcS9cQiYiISK6nhkhERERyPTVEIiIikuupIRIREZFcTw2RiIiI5HpqiERERCTXU0MkIiIiuZ4aIhEREcn11BCJSLbUoUMHWrZsadr2X3nlFcaMGZOmsW3atGHSpEmZnEhE7oWeVC0iTsdisdx2/rBhw3jzzTcxDIPAwMCsCfUvf/zxB/Xq1ePkyZP4+vrecfy+fft47LHHOH78OAEBAVmQUETSSw2RiDid8PBwx7+XLFnC0KFDOXTokGOar69vmhqRzPLqq6/i6urKnDlz0rzMgw8+SIcOHejRo0cmJhORu6VTZiLidEJCQhxfAQEBWCyWZNN8fX1TnDJ74okn6NWrF3369CEoKIjg4GA++ugjrl+/TseOHfHz86NUqVL89NNPyba1b98+mjZtiq+vL8HBwbzyyiv8/fffqWZLSkri66+/pnnz5smmf/DBB5QuXRpPT0+Cg4N57rnnks1v3rw5ixcvvvdvjohkCjVEIpJjfPbZZ+TLl4+tW7fSq1cvunfvzvPPP8/DDz/Mzp07adSoEa+88goxMTEAREREUK9ePapVq8b27dtZuXIlFy5coHXr1qluY8+ePVy7do0aNWo4pm3fvp3evXszcuRIDh06xMqVK3nssceSLVezZk22bt1KfHx85hQvIvdEDZGI5BhVqlRh8ODBlC5dmkGDBuHp6Um+fPno0qULpUuXZujQoVy+fJk9e/YAMHPmTKpVq8aYMWMoW7Ys1apVY968eaxbt47Dhw/fchsnT57ExcWFAgUKOKadOnUKHx8fnnrqKYoVK0a1atXo3bt3suVCQ0NJSEhIdjpQRJyHGiIRyTEqV67s+LeLiwt58+alUqVKjmnBwcEAXLx4EbhxcfS6desc1yT5+vpStmxZAI4dO3bLbcTGxuLh4ZHswu+GDRtSrFgx7rvvPl555RUWLlzoOAp1k5eXF0CK6SLiHNQQiUiO4ebmluyzxWJJNu1mE2O32wGIjo6mefPm7N69O9nXkSNHUpzyuilfvnzExMSQkJDgmObn58fOnTtZtGgRBQsWZOjQoVSpUoWIiAjHmCtXrgCQP3/+DKlVRDKWGiIRybUeeOAB9u/fT/HixSlVqlSyLx8fn1suU7VqVQAOHDiQbLqrqysNGjRg/Pjx7NmzhxMnTrB27VrH/H379lG4cGHy5cuXafWIyN1TQyQiuVaPHj24cuUKL774Itu2bePYsWP8/PPPdOzYkaSkpFsukz9/fh544AE2bNjgmLZ8+XKmT5/O7t27OXnyJAsWLMBut1OmTBnHmN9++41GjRplek0icnfUEIlIrhUaGsrGjRtJSkqiUaNGVKpUiT59+hAYGIjVmvr/Pb766qssXLjQ8TkwMJBvv/2WevXqUa5cOebMmcOiRYuoUKECAHFxcSxbtowuXbpkek0icnf0YEYRkXSKjY2lTJkyLFmyhNq1a99x/OzZs/nuu+9YtWpVFqQTkbuhI0QiIunk5eXFggULbvsAx39zc3NjxowZmZxKRO6FjhCJiIhIrqcjRCIiIpLrqSESERGRXE8NkYiIiOR6aohEREQk11NDJCIiIrmeGiIRERHJ9dQQiYiISK6nhkhERERyPTVEIiIikuv9HwH8xxez9aAZAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ "# Plot Altitude\n", - "times = np.linspace(0, flight.apogee_time, 300)\n", + "times = np.linspace(0, flight.time, 10000)\n", "altitudes = [flight.z(t) for t in times]\n", "\n", "plt.plot(times, altitudes)\n", @@ -232,6 +186,30 @@ "plt.grid(True)\n", "plt.show()\n" ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation Mode: 3 DOF\n", + "Equations of Motion: standard\n" + ] + } + ], + "source": [ + "print(f\"Simulation Mode: {flight.simulation_mode}\")\n", + "\n", + "# Display additional details about the equations if available in the simulation object\n", + "if hasattr(flight, 'equations_of_motion'):\n", + " print(f\"Equations of Motion: {flight.equations_of_motion}\")\n", + "else:\n", + " print(\"No explicit equations of motion found in flight class\")" + ] } ], "metadata": { diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index 0c5ce229e..5128c2241 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -92,21 +92,30 @@ def exhaust_velocity(self): def propellant_initial_mass(self): return self._propellant_initial_mass - @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_I_11(self): - return 0 - @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_I_12(self): + @property + def is_point_mass(self): + return True + + @funcify_method("Time (s)", "Inertia (kg·m²)") + def propellant_I_11(self): + return 0 + + @funcify_method("Time (s)", "Inertia (kg·m²)") + def propellant_I_12(self): return 0 - @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_I_13(self): + + @funcify_method("Time (s)", "Inertia (kg·m²)") + def propellant_I_13(self): return 0 - @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_I_22(self): + + @funcify_method("Time (s)", "Inertia (kg·m²)") + def propellant_I_22(self): return 0 - @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_I_23(self): + + @funcify_method("Time (s)", "Inertia (kg·m²)") + def propellant_I_23(self): return 0 - @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_I_33(self): + + @funcify_method("Time (s)", "Inertia (kg·m²)") + def propellant_I_33(self): return 0 diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 4731928f7..837d4beae 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -31,6 +31,7 @@ def __init__(self, mass): self.motor = None def add_motor(self, motor): self.motor = motor + self.evaluate_total_mass() def evaluate_total_mass(self): if self.motor: return self.mass + self.motor.total_mass @@ -39,50 +40,71 @@ def evaluate_total_mass(self): class PointMassRocket(BaseRocket): """Rocket modeled as a point mass for 3-DOF simulations.""" - total_mass = None, - def __init__(self, mass, drag_coefficient=0): + def __init__(self, mass, drag_coefficient=0.4, radius=0.05): super().__init__(mass) + + # Basic configuration + self.drag_coefficient = drag_coefficient + self.radius = radius # in meters + self.area = math.pi * self.radius**2 + + # Coordinate system configuration + self.coordinate_system_orientation = "tail_to_nose" + self.center_of_dry_mass_position = 0 # arbitrary for point mass + self.dry_mass = mass # dry_mass = structure + dry motor, here it's same as base mass + self.nozzle_position = 0 # or another reference point like -1 * length/2 + + # Components self.parachutes = [] self._controllers = [] self.air_brakes = [] self.sensors = Components() self.aerodynamic_surfaces = Components() - self.surfaces_cp_to_cdm = {} self.rail_buttons = Components() - self.drag_coefficient = drag_coefficient - self.parachutes = [] + self.surfaces_cp_to_cdm = {} + + # Drag models + self.power_on_drag = Function( + drag_coefficient, + "Mach Number", + "Power-On Drag Coefficient", + interpolation="constant" + ) + self.power_off_drag = Function( + drag_coefficient * 1.2, + "Mach Number", + "Power-Off Drag Coefficient", + interpolation="constant" + ) def add_parachute( self, name, cd_s, trigger, sampling_rate=100, lag=0, noise=(0, 0, 0) ): parachute = Parachute(name, cd_s, trigger, sampling_rate, lag, noise) self.parachutes.append(parachute) - self.total_mass= None, - self.evaluate_total_mass(), + self.total_mass = None + self.evaluate_total_mass() + return self.parachutes[-1] def evaluate_total_mass(self): - """Calculates and returns the rocket's total mass. The total - mass is defined as the sum of the motor mass with propellant and the - rocket mass without propellant. The function returns an object - of the Function class and is defined as a function of time. - - Returns - ------- - self.total_mass : Function - Function of time expressing the total mass of the rocket, - defined as the sum of the propellant mass and the rocket - mass without propellant. - """ - # Make sure there is a motor associated with the rocket + """Returns Function of total mass (dry + motor).""" if self.motor is None: print("Please associate this rocket with a motor!") return False - self.total_mass = self.mass + self.motor.total_mass - self.total_mass.set_outputs("Total Mass (Rocket + Motor + Propellant) (kg)") - self.total_mass.set_title("Total Mass (Rocket + Motor + Propellant)") - return self.total_mass - return self.parachutes[-1] + motor_mass_func = ( + self.motor.total_mass if hasattr(self.motor.total_mass, "get_value_opt") + else Function(lambda t: self.motor.total_mass) + ) + + self.total_mass = Function( + lambda t: self.mass + motor_mass_func(t), + inputs="Time (s)", + outputs="Total Mass (Rocket + Motor + Propellant) (kg)", + title="Total Mass (Rocket + Motor + Propellant)" + ) + return self.total_mass + # pylint: disable=too-many-instance-attributes, too-many-public-methods, too-many-instance-attributes class Rocket: diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 84ddec244..b02c44e6b 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -1905,155 +1905,118 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals ) return u_dot - def u_dot_generalized_3dof( - self, t, u, post_processing=False - ): # pylint: disable=too-many-locals,too-many-statements + def u_dot_generalized_3dof(self, t, u, post_processing=False): """Calculates derivative of u state vector with respect to time when the rocket is flying in 3 DOF motion in space and significant mass variation - effects exist. Typical flight phases include powered ascent after launch - rail. + effects exist. Parameters ---------- t : float - Time in seconds + Time in seconds. u : list - State vector defined by u = [x, y, z, vx, vy, vz, q0, q1, - q2, q3, omega1, omega2, omega3]. + State vector: [x, y, z, vx, vy, vz, q0, q1, q2, q3, omega1, omega2, omega3]. post_processing : bool, optional - If True, adds flight data information directly to self variables - such as self.angle_of_attack, by default False. + If True, adds flight data to self variables like self.angle_of_attack. Returns ------- - u_dot : list - State vector defined by u_dot = [vx, vy, vz, ax, ay, az, + list + Derivative state vector: [vx, vy, vz, ax, ay, az, e0_dot, e1_dot, e2_dot, e3_dot, alpha1, alpha2, alpha3]. """ - # Retrieve integration data + # Unpack state _, _, z, vx, vy, vz, e0, e1, e2, e3, omega1, omega2, omega3 = u - # Create necessary vectors - # r = Vector([x, y, z]) # CDM position vector - v = Vector([vx, vy, vz]) # CDM velocity vector - e = [e0, e1, e2, e3] # Euler parameters/quaternions - w = Vector([omega1, omega2, omega3]) # Angular velocity vector + # Define vectors + v = Vector([vx, vy, vz]) + e = [e0, e1, e2, e3] + w = Vector([omega1, omega2, omega3]) - # Retrieve necessary quantities - ## Rocket mass + # Mass and transformation total_mass = self.rocket.total_mass.get_value_opt(t) - # Prepare transformation matrices K = Matrix.transformation(e) Kt = K.transpose - # Compute aerodynamic forces and moments - R1, R2, R3, M1, M2, M3 = 0, 0, 0, 0, 0, 0 - - ## Drag force + # Atmospheric and wind data rho = self.env.density.get_value_opt(z) - wind_velocity_x = self.env.wind_velocity_x.get_value_opt(z) - wind_velocity_y = self.env.wind_velocity_y.get_value_opt(z) - wind_velocity = Vector([wind_velocity_x, wind_velocity_y, 0]) - free_stream_speed = abs((wind_velocity - Vector(v))) + wind_vx = self.env.wind_velocity_x.get_value_opt(z) + wind_vy = self.env.wind_velocity_y.get_value_opt(z) + wind_velocity = Vector([wind_vx, wind_vy, 0]) + + free_stream_velocity = wind_velocity - v + free_stream_speed = abs(free_stream_velocity) speed_of_sound = self.env.speed_of_sound.get_value_opt(z) - free_stream_mach = free_stream_speed / speed_of_sound + mach = free_stream_speed / speed_of_sound + # Drag computation if t < self.rocket.motor.burn_out_time: - drag_coeff = self.rocket.power_on_drag.get_value_opt(free_stream_mach) + cd = self.rocket.power_on_drag.get_value_opt(mach) else: - drag_coeff = self.rocket.power_off_drag.get_value_opt(free_stream_mach) - R3 += -0.5 * rho * (free_stream_speed**2) * self.rocket.area * drag_coeff - for air_brakes in self.rocket.air_brakes: - if air_brakes.deployment_level > 0: - air_brakes_cd = air_brakes.drag_coefficient.get_value_opt( - air_brakes.deployment_level, free_stream_mach + cd = self.rocket.power_off_drag.get_value_opt(mach) + + R1, R2, R3 = 0, 0, -0.5 * rho * free_stream_speed**2 * self.rocket.area * cd + + for air_brake in self.rocket.air_brakes: + if air_brake.deployment_level > 0: + ab_cd = air_brake.drag_coefficient.get_value_opt( + air_brake.deployment_level, mach ) - air_brakes_force = ( + ab_force = ( -0.5 * rho - * (free_stream_speed**2) - * air_brakes.reference_area - * air_brakes_cd + * free_stream_speed**2 + * air_brake.reference_area + * ab_cd ) - if air_brakes.override_rocket_drag: - R3 = air_brakes_force # Substitutes rocket drag coefficient + if air_brake.override_rocket_drag: + R3 = ab_force else: - R3 += air_brakes_force - # Get rocket velocity in body frame - velocity_in_body_frame = Kt @ v - # Calculate lift and moment for each component of the rocket - for aero_surface, _ in self.rocket.aerodynamic_surfaces: - # Component cp relative to CDM in body frame - comp_cp = self.rocket.surfaces_cp_to_cdm[aero_surface] - # Component absolute velocity in body frame - comp_vb = velocity_in_body_frame + (w ^ comp_cp) - # Wind velocity at component altitude - comp_z = z + (K @ comp_cp).z - comp_wind_vx = self.env.wind_velocity_x.get_value_opt(comp_z) - comp_wind_vy = self.env.wind_velocity_y.get_value_opt(comp_z) - # Component freestream velocity in body frame - comp_wind_vb = Kt @ Vector([comp_wind_vx, comp_wind_vy, 0]) - comp_stream_velocity = comp_wind_vb - comp_vb - comp_stream_speed = abs(comp_stream_velocity) - comp_stream_mach = comp_stream_speed / speed_of_sound - # Reynolds at component altitude - # TODO: Reynolds is only used in generic surfaces. This calculation - # should be moved to the surface class for efficiency - comp_reynolds = ( - self.env.density.get_value_opt(comp_z) - * comp_stream_speed - * aero_surface.reference_length - / self.env.dynamic_viscosity.get_value_opt(comp_z) - ) - # Forces and moments - X, Y, Z, M, N, L = aero_surface.compute_forces_and_moments( - comp_stream_velocity, - comp_stream_speed, - comp_stream_mach, - rho, - comp_cp, - w, - comp_reynolds, - ) - R1 += X - R2 += Y - R3 += Z + R3 += ab_force - # No Off center moment for 3DOF - thrust = self.rocket.motor.thrust.get_value_opt(t) + # Velocity in body frame + vb_body = Kt @ v + for surface, _ in self.rocket.aerodynamic_surfaces: + cp = self.rocket.surfaces_cp_to_cdm[surface] + vb_component = vb_body + (w ^ cp) - weight_in_body_frame = Kt @ Vector( - [0, 0, -total_mass * self.env.gravity.get_value_opt(z)] - ) + comp_z = z + (K @ cp).z + wind_cx = self.env.wind_velocity_x.get_value_opt(comp_z) + wind_cy = self.env.wind_velocity_y.get_value_opt(comp_z) + wind_body = Kt @ Vector([wind_cx, wind_cy, 0]) - T04 = ( - Vector([0, 0, thrust]) - ) + rel_velocity = wind_body - vb_component + rel_speed = abs(rel_velocity) + rel_mach = rel_speed / speed_of_sound - T20 = (T04 - + weight_in_body_frame - + Vector([R1, R2, R3]) - ) + reynolds = ( + self.env.density.get_value_opt(comp_z) + * rel_speed + * surface.reference_length + / self.env.dynamic_viscosity.get_value_opt(comp_z) + ) - # Angular velocity derivative - w_dot = [0, 0, 0] + fx, fy, fz, *_ = surface.compute_forces_and_moments( + rel_velocity, rel_speed, rel_mach, rho, cp, w, reynolds + ) + R1 += fx + R2 += fy + R3 += fz - # Velocity vector derivative - v_dot = K @ (T20 / total_mass) + # Thrust and weight + thrust = self.rocket.motor.thrust.get_value_opt(t) + gravity = self.env.gravity.get_value_opt(z) + weight_body = Kt @ Vector([0, 0, -total_mass * gravity]) - # Euler parameters derivative - e_dot = [ - 0, - 0, - 0, - 0, - ] + total_force = Vector([0, 0, thrust]) + weight_body + Vector([R1, R2, R3]) - # Position vector derivative + # Dynamics + v_dot = K @ (total_force / total_mass) + e_dot = [0, 0, 0, 0] # Euler derivatives unused in 3DOF + w_dot = [0, 0, 0] # No angular dynamics in 3DOF r_dot = [vx, vy, vz] - # Create u_dot u_dot = [*r_dot, *v_dot, *e_dot, *w_dot] if post_processing: From 33cb63a4f683831d939a0c54ee837eeb017ffec8 Mon Sep 17 00:00:00 2001 From: aZira371 Date: Sat, 10 May 2025 14:13:12 +0100 Subject: [PATCH 08/56] MNT: Cleaning up flight class and PointMassMotor class --- rocketpy/motors/PointMassMotor.py | 2 +- rocketpy/simulation/flight.py | 292 ------------------------------ 2 files changed, 1 insertion(+), 293 deletions(-) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index 5128c2241..a9cc3548e 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -98,7 +98,7 @@ def is_point_mass(self): @funcify_method("Time (s)", "Inertia (kg·m²)") def propellant_I_11(self): - return 0 + return 0 @funcify_method("Time (s)", "Inertia (kg·m²)") def propellant_I_12(self): diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 08b0a9d5c..fdbe60ba3 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -1613,298 +1613,6 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals ) return u_dot - def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals,too-many-statements - """Calculates derivative of u state vector with respect to time - when rocket is flying in 6 DOF motion during ascent out of rail - and descent without parachute. - - Parameters - ---------- - t : float - Time in seconds - u : list - State vector defined by u = [x, y, z, vx, vy, vz, e0, e1, - e2, e3, omega1, omega2, omega3]. - post_processing : bool, optional - If True, adds flight data information directly to self - variables such as self.angle_of_attack, by default False - - Returns - ------- - u_dot : list - State vector defined by u_dot = [vx, vy, vz, ax, ay, az, - e0dot, e1dot, e2dot, e3dot, alpha1, alpha2, alpha3]. - """ - - # Retrieve integration data - _, _, z, vx, vy, vz, e0, e1, e2, e3, omega1, omega2, omega3 = u - # Determine lift force and moment - R1, R2, M1, M2, M3 = 0, 0, 0, 0, 0 - # Determine current behavior - if self.rocket.motor.burn_start_time < t < self.rocket.motor.burn_out_time: - # Motor burning - # Retrieve important motor quantities - # Inertias - motor_I_33_at_t = self.rocket.motor.I_33.get_value_opt(t) - motor_I_11_at_t = self.rocket.motor.I_11.get_value_opt(t) - motor_I_33_derivative_at_t = self.rocket.motor.I_33.differentiate( - t, dx=1e-6 - ) - motor_I_11_derivative_at_t = self.rocket.motor.I_11.differentiate( - t, dx=1e-6 - ) - # Mass - mass_flow_rate_at_t = self.rocket.motor.mass_flow_rate.get_value_opt(t) - propellant_mass_at_t = self.rocket.motor.propellant_mass.get_value_opt(t) - # Thrust - thrust = self.rocket.motor.thrust.get_value_opt(t) - # Off center moment - M1 += self.rocket.thrust_eccentricity_y * thrust - M2 -= self.rocket.thrust_eccentricity_x * thrust - else: - # Motor stopped - # Inertias - ( - motor_I_33_at_t, - motor_I_11_at_t, - motor_I_33_derivative_at_t, - motor_I_11_derivative_at_t, - ) = (0, 0, 0, 0) - # Mass - mass_flow_rate_at_t, propellant_mass_at_t = 0, 0 - # thrust - thrust = 0 - - # Retrieve important quantities - # Inertias - rocket_dry_I_33 = self.rocket.dry_I_33 - rocket_dry_I_11 = self.rocket.dry_I_11 - # Mass - rocket_dry_mass = self.rocket.dry_mass # already with motor's dry mass - total_mass_at_t = propellant_mass_at_t + rocket_dry_mass - mu = (propellant_mass_at_t * rocket_dry_mass) / ( - propellant_mass_at_t + rocket_dry_mass - ) - # Geometry - # b = -self.rocket.distance_rocket_propellant - b = ( - -( - self.rocket.center_of_propellant_position.get_value_opt(0) - - self.rocket.center_of_dry_mass_position - ) - * self.rocket._csys - ) - c = self.rocket.nozzle_to_cdm - nozzle_radius = self.rocket.motor.nozzle_radius - # Prepare transformation matrix - a11 = 1 - 2 * (e2**2 + e3**2) - a12 = 2 * (e1 * e2 - e0 * e3) - a13 = 2 * (e1 * e3 + e0 * e2) - a21 = 2 * (e1 * e2 + e0 * e3) - a22 = 1 - 2 * (e1**2 + e3**2) - a23 = 2 * (e2 * e3 - e0 * e1) - a31 = 2 * (e1 * e3 - e0 * e2) - a32 = 2 * (e2 * e3 + e0 * e1) - a33 = 1 - 2 * (e1**2 + e2**2) - # Transformation matrix: (123) -> (XYZ) - K = Matrix([[a11, a12, a13], [a21, a22, a23], [a31, a32, a33]]) - Kt = K.transpose - - # Calculate Forces and Moments - # Get freestream speed - wind_velocity_x = self.env.wind_velocity_x.get_value_opt(z) - wind_velocity_y = self.env.wind_velocity_y.get_value_opt(z) - speed_of_sound = self.env.speed_of_sound.get_value_opt(z) - free_stream_speed = ( - (wind_velocity_x - vx) ** 2 + (wind_velocity_y - vy) ** 2 + (vz) ** 2 - ) ** 0.5 - free_stream_mach = free_stream_speed / speed_of_sound - - # Determine aerodynamics forces - # Determine Drag Force - if t < self.rocket.motor.burn_out_time: - drag_coeff = self.rocket.power_on_drag.get_value_opt(free_stream_mach) - else: - drag_coeff = self.rocket.power_off_drag.get_value_opt(free_stream_mach) - rho = self.env.density.get_value_opt(z) - R3 = -0.5 * rho * (free_stream_speed**2) * self.rocket.area * drag_coeff - for air_brakes in self.rocket.air_brakes: - if air_brakes.deployment_level > 0: - air_brakes_cd = air_brakes.drag_coefficient.get_value_opt( - air_brakes.deployment_level, free_stream_mach - ) - air_brakes_force = ( - -0.5 - * rho - * (free_stream_speed**2) - * air_brakes.reference_area - * air_brakes_cd - ) - if air_brakes.override_rocket_drag: - R3 = air_brakes_force # Substitutes rocket drag coefficient - else: - R3 += air_brakes_force - # Off center moment - M1 += self.rocket.cp_eccentricity_y * R3 - M2 -= self.rocket.cp_eccentricity_x * R3 - # Get rocket velocity in body frame - vx_b = a11 * vx + a21 * vy + a31 * vz - vy_b = a12 * vx + a22 * vy + a32 * vz - vz_b = a13 * vx + a23 * vy + a33 * vz - # Calculate lift and moment for each component of the rocket - velocity_in_body_frame = Vector([vx_b, vy_b, vz_b]) - w = Vector([omega1, omega2, omega3]) - for aero_surface, _ in self.rocket.aerodynamic_surfaces: - # Component cp relative to CDM in body frame - comp_cp = self.rocket.surfaces_cp_to_cdm[aero_surface] - # Component absolute velocity in body frame - comp_vb = velocity_in_body_frame + (w ^ comp_cp) - # Wind velocity at component altitude - comp_z = z + (K @ comp_cp).z - comp_wind_vx = self.env.wind_velocity_x.get_value_opt(comp_z) - comp_wind_vy = self.env.wind_velocity_y.get_value_opt(comp_z) - # Component freestream velocity in body frame - comp_wind_vb = Kt @ Vector([comp_wind_vx, comp_wind_vy, 0]) - comp_stream_velocity = comp_wind_vb - comp_vb - comp_stream_speed = abs(comp_stream_velocity) - comp_stream_mach = comp_stream_speed / speed_of_sound - # Reynolds at component altitude - # TODO: Reynolds is only used in generic surfaces. This calculation - # should be moved to the surface class for efficiency - comp_reynolds = ( - self.env.density.get_value_opt(comp_z) - * comp_stream_speed - * aero_surface.reference_length - / self.env.dynamic_viscosity.get_value_opt(comp_z) - ) - # Forces and moments - X, Y, Z, M, N, L = aero_surface.compute_forces_and_moments( - comp_stream_velocity, - comp_stream_speed, - comp_stream_mach, - rho, - comp_cp, - w, - comp_reynolds, - ) - R1 += X - R2 += Y - R3 += Z - M1 += M - M2 += N - M3 += L - # Off center moment - M3 += self.rocket.cp_eccentricity_x * R2 - self.rocket.cp_eccentricity_y * R1 - - # Calculate derivatives - # Angular acceleration - alpha1 = ( - M1 - - ( - omega2 - * omega3 - * ( - rocket_dry_I_33 - + motor_I_33_at_t - - rocket_dry_I_11 - - motor_I_11_at_t - - mu * b**2 - ) - + omega1 - * ( - ( - motor_I_11_derivative_at_t - + mass_flow_rate_at_t - * (rocket_dry_mass - 1) - * (b / total_mass_at_t) ** 2 - ) - - mass_flow_rate_at_t - * ((nozzle_radius / 2) ** 2 + (c - b * mu / rocket_dry_mass) ** 2) - ) - ) - ) / (rocket_dry_I_11 + motor_I_11_at_t + mu * b**2) - alpha2 = ( - M2 - - ( - omega1 - * omega3 - * ( - rocket_dry_I_11 - + motor_I_11_at_t - + mu * b**2 - - rocket_dry_I_33 - - motor_I_33_at_t - ) - + omega2 - * ( - ( - motor_I_11_derivative_at_t - + mass_flow_rate_at_t - * (rocket_dry_mass - 1) - * (b / total_mass_at_t) ** 2 - ) - - mass_flow_rate_at_t - * ((nozzle_radius / 2) ** 2 + (c - b * mu / rocket_dry_mass) ** 2) - ) - ) - ) / (rocket_dry_I_11 + motor_I_11_at_t + mu * b**2) - alpha3 = ( - M3 - - omega3 - * ( - motor_I_33_derivative_at_t - - mass_flow_rate_at_t * (nozzle_radius**2) / 2 - ) - ) / (rocket_dry_I_33 + motor_I_33_at_t) - # Euler parameters derivative - e0dot = 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3) - e1dot = 0.5 * (omega1 * e0 + omega3 * e2 - omega2 * e3) - e2dot = 0.5 * (omega2 * e0 - omega3 * e1 + omega1 * e3) - e3dot = 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2) - - # Linear acceleration - L = [ - ( - R1 - - b * propellant_mass_at_t * (omega2**2 + omega3**2) - - 2 * c * mass_flow_rate_at_t * omega2 - ) - / total_mass_at_t, - ( - R2 - + b * propellant_mass_at_t * (alpha3 + omega1 * omega2) - + 2 * c * mass_flow_rate_at_t * omega1 - ) - / total_mass_at_t, - (R3 - b * propellant_mass_at_t * (alpha2 - omega1 * omega3) + thrust) - / total_mass_at_t, - ] - ax, ay, az = K @ Vector(L) - az -= self.env.gravity.get_value_opt(z) # Include gravity - - # Create u_dot - u_dot = [ - vx, - vy, - vz, - ax, - ay, - az, - e0dot, - e1dot, - e2dot, - e3dot, - alpha1, - alpha2, - alpha3, - ] - - if post_processing: - self.__post_processed_variables.append( - [t, ax, ay, az, alpha1, alpha2, alpha3, R1, R2, R3, M1, M2, M3] - ) - - return u_dot def u_dot_generalized_3dof(self, t, u, post_processing=False): """Calculates derivative of u state vector with respect to time when the rocket is flying in 3 DOF motion in space and significant mass variation From b18b241bfb0cc1873de32a9f2d36eeb687eb6355 Mon Sep 17 00:00:00 2001 From: Ishan Date: Fri, 27 Jun 2025 04:11:49 +0530 Subject: [PATCH 09/56] MNT: point mass motor cleanup -MNT: removing the parameters not needed for point mass kind of motors -MNT: removing extra parameter thrust_curve -MNT: fixing problems with motor class inheritance --- rocketpy/motors/PointMassMotor.py | 255 +++++++++++++++++++++--------- 1 file changed, 178 insertions(+), 77 deletions(-) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index a9cc3548e..4370ea6b1 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -1,121 +1,222 @@ from functools import cached_property import numpy as np -from ..mathutils.function import Function, funcify_method -from .motor import Motor +import csv +import math +from typing import Callable # Import Callable from the typing module -class PointMassMotor(Motor): +from rocketpy.mathutils.function import Function, funcify_method +from .motor import Motor + +class PointMassMotor(Motor): """Class representing a motor modeled as a point mass. + Inherits from the Motor class and simplifies the model to a thrust-producing - object without detailed structural components.""" + object without detailed structural components. The total mass of the motor + will vary with propellant consumption, similar to a standard motor. However, + its inertia components and the center of propellant mass are considered zero + and fixed at the motor's reference point, respectively. + """ def __init__( self, thrust_source, - dry_mass, - thrust_curve=None, - propellant_initial_mass=None, - propellant_final_mass=None, - burn_time=None, - center_of_dry_mass_position=0, - reshape_thrust_curve=False, - interpolation_method="linear", - coordinate_system_orientation="nozzle_to_combustion_chamber", + dry_mass: float, + propellant_initial_mass: float, # Now explicitly required + burn_time: float = None, + propellant_final_mass: float = None, + reshape_thrust_curve: bool = False, + interpolation_method: str = "linear", ): """Initialize the PointMassMotor class. - + + This motor simplifies the physical model by considering its mass to be + concentrated at a single point, effectively setting all its inertia + components to zero. Propellant mass variation and exhaust velocity + are still simulated and derived from the thrust and propellant consumption + characteristics, similar to the base Motor class. + Parameters ---------- - thrust_source : int, float, callable, string, array, Function - Thrust source similar to the Motor class. + thrust_source : int, float, callable, str, numpy.ndarray, Function + Thrust source. Can be a constant value (int, float), a callable + function of time, a path to a CSV file, a NumPy array, or a + RocketPy `Function` object. dry_mass : float Total dry mass of the motor in kg. - thrust_curve : Function, np.array, or str (csv file), optional - Required if thrust_source is a csv file, Function, or np.array. - propellant_initial_mass : float, optional - Required if thrust_source is a csv file, Function, or np.array. + propellant_initial_mass : float + Initial mass of the propellant in kg. This is a required parameter + as the point mass motor will still simulate propellant consumption. + burn_time : float, optional + Total burn time of the motor in seconds. Required if `thrust_source` + is a constant value or a callable function, and `propellant_final_mass` + is not provided. If `thrust_source` is a CSV, array, or Function, + the burn time is derived from it. propellant_final_mass : float, optional - Required if thrust_source is callable. - burn_time : float or tuple of float, optional - Required if thrust_source is callable or if a thrust value is given. - center_of_dry_mass_position : float, optional - Initial position of the motor, default is 0. - interpolation_method : string, optional - Interpolation method for thrust curve, default is 'linear'. + Final mass of the propellant in kg. Required if `thrust_source` + is a callable function and `burn_time` is not provided. If not + provided, it is calculated by the base Motor class. + reshape_thrust_curve : bool, optional + Whether to reshape the thrust curve to start at t=0 and end at + burn_time. Defaults to False. + interpolation_method : str, optional + Interpolation method for the thrust curve, if applicable. + Defaults to 'linear'. + + Raises + ------ + ValueError + If insufficient data is provided for mass flow rate calculation. + TypeError + If an invalid type is provided for `thrust_source`. """ - if isinstance(thrust_source, (Function, np.ndarray, str)): - if thrust_curve is None or propellant_initial_mass is None: - raise ValueError("thrust_curve and propellant_initial_mass are required for csv, Function, or np.array inputs.") - elif callable(thrust_source): - if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time, propellant_final_mass]): - raise ValueError("thrust_curve, propellant_initial_mass, burn_time, and propellant_final_mass are required for callable inputs.") - elif isinstance(thrust_source, (int, float)): - if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time]): - raise ValueError("thrust_curve, propellant_initial_mass, and burn_time are required when a thrust value is given.") + # Input validation: Ensure critical parameters for mass flow are present + if isinstance(thrust_source, (int, float, Callable)): + if propellant_initial_mass is None: + raise ValueError( + "For constant or callable thrust, 'propellant_initial_mass' is required." + ) + if burn_time is None and propellant_final_mass is None: + raise ValueError( + "For constant or callable thrust, either 'burn_time' or " + "'propellant_final_mass' must be provided." + ) - self._propellant_initial_mass = propellant_initial_mass + elif isinstance(thrust_source, (Function, np.ndarray, str)): + if propellant_initial_mass is None: + raise ValueError( + "For thrust from a Function, NumPy array, or CSV, 'propellant_initial_mass' is required." + ) + else: + raise TypeError( + "Invalid 'thrust_source' type. Must be int, float, callable, str, numpy.ndarray, or Function." + ) + + self.propellant_initial_mass = propellant_initial_mass + self.propellant_final_mass = propellant_final_mass + + # Call the superclass constructor, passing center_of_dry_mass_position=0 super().__init__( thrust_source=thrust_source, - dry_inertia=(0, 0, 0), - nozzle_radius=0, - center_of_dry_mass_position=center_of_dry_mass_position, + dry_inertia=(0, 0, 0), # Inertia is zero for a point mass + nozzle_radius=0, # Nozzle radius is irrelevant for a point mass model + center_of_dry_mass_position=0, # Pass 0 directly to the superclass dry_mass=dry_mass, - nozzle_position=0, + nozzle_position=0, # Nozzle is at the motor's origin burn_time=burn_time, - reshape_thrust_curve=reshape_thrust_curve, + reshape_thrust_curve=reshape_thrust_curve, # Pass the user-provided value interpolation_method=interpolation_method, - coordinate_system_orientation=coordinate_system_orientation, - ) - @funcify_method("Time (s)", "Thrust (N)") - def thrust(self): - """Returns the thrust of the motor as a function of time.""" - return self.thrust_source - - @funcify_method("Time (s)", "Acceleration (m/s^2)") - def total_mass(self): - """Returns the constant total mass of the point mass motor.""" - return self.dry_mass - - @funcify_method("Time (s)", "Acceleration (m/s^2)") - def acceleration(self): - """Computes the acceleration of the motor as thrust divided by mass.""" - return self.thrust() / self.total_mass + coordinate_system_orientation="nozzle_to_combustion_chamber", # Standard orientation + ) - @funcify_method("Time (s)", "Propellant Mass (kg)") - def center_of_propellant_mass(self): - return 0 + # Removed the thrust method. It will now be inherited directly from the Motor base class, + # which already correctly handles the conversion of thrust_source to a Function + # and exposes it as a cached property. + + # Removed the total_mass override. The base Motor class's total_mass property + # will now correctly calculate dry_mass + propellant_mass(t), which is the desired + # varying mass behavior for the point mass motor. - @funcify_method("Time (s)", "Exhaust Velocity (m/s)") - def exhaust_velocity(self): - return 2000 # m/s, estimated value + # Removed the center_of_dry_mass_position override. It is now passed directly + # to the super().__init__ as 0. + @cached_property @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_initial_mass(self): - return self._propellant_initial_mass + def center_of_propellant_mass(self) -> Function: + """Returns the position of the center of mass of the propellant. + + For a point mass motor, the propellant's center of mass is considered + to be at the origin (0) of the motor's coordinate system. - @property - def is_point_mass(self): - return True - + Returns + ------- + Function + A Function object representing the center of propellant mass (always 0). + """ + return 0 + + # Removed exhaust_velocity override. It will now be inherited from the Motor base class, + # which calculates it dynamically based on thrust and mass_flow_rate. + + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_11(self): - return 0 + def propellant_I_11(self) -> Function: + """Returns the propellant moment of inertia around the x-axis. + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ + return 0 + + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_12(self): + def propellant_I_12(self) -> Function: + """Returns the propellant product of inertia I_xy. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_13(self): + def propellant_I_13(self) -> Function: + """Returns the propellant product of inertia I_xz. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_22(self): + def propellant_I_22(self) -> Function: + """Returns the propellant moment of inertia around the y-axis. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_23(self): + def propellant_I_23(self) -> Function: + """Returns the propellant product of inertia I_yz. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_33(self): + def propellant_I_33(self) -> Function: + """Returns the propellant moment of inertia around the z-axis. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 From 8aa10164a60af39ef67ce87fe436afb81ae72ff6 Mon Sep 17 00:00:00 2001 From: Ishan Date: Tue, 1 Jul 2025 02:26:13 +0530 Subject: [PATCH 10/56] ENH: restructuring rocket class -ENH: removed 'BaseRocket' class now 'PointMassRocket' inherits directly from 'Rocket' class --- rocketpy/__init__.py | 1 - rocketpy/rocket/__init__.py | 1 - rocketpy/rocket/rocket.py | 200 +++++++++++++++++++++--------------- 3 files changed, 118 insertions(+), 84 deletions(-) diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index 3f5b6a99b..a5e6cd299 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -37,7 +37,6 @@ Parachute, RailButtons, Rocket, - BaseRocket, PointMassRocket, Tail, TrapezoidalFins, diff --git a/rocketpy/rocket/__init__.py b/rocketpy/rocket/__init__.py index 1ae442f4d..4019c87b8 100644 --- a/rocketpy/rocket/__init__.py +++ b/rocketpy/rocket/__init__.py @@ -15,5 +15,4 @@ from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute from rocketpy.rocket.rocket import Rocket -from rocketpy.rocket.rocket import BaseRocket from rocketpy.rocket.rocket import PointMassRocket \ No newline at end of file diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 72fcc20be..fc2eca3c5 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -23,89 +23,9 @@ from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute from rocketpy.tools import parallel_axis_theorem_from_com +from functools import cached_property +from rocketpy.mathutils.function import funcify_method -class BaseRocket: - """Base class for a rocket model with minimal attributes and methods.""" - def __init__(self, mass): - self.mass = mass - self.motor = None - def add_motor(self, motor): - self.motor = motor - self.evaluate_total_mass() - def evaluate_total_mass(self): - if self.motor: - return self.mass + self.motor.total_mass - return self.mass - - -class PointMassRocket(BaseRocket): - """Rocket modeled as a point mass for 3-DOF simulations.""" - - def __init__(self, mass, drag_coefficient=0.4, radius=0.05): - super().__init__(mass) - - # Basic configuration - self.drag_coefficient = drag_coefficient - self.radius = radius # in meters - self.area = math.pi * self.radius**2 - - # Coordinate system configuration - self.coordinate_system_orientation = "tail_to_nose" - self.center_of_dry_mass_position = 0 # arbitrary for point mass - self.dry_mass = mass # dry_mass = structure + dry motor, here it's same as base mass - self.nozzle_position = 0 # or another reference point like -1 * length/2 - - # Components - self.parachutes = [] - self._controllers = [] - self.air_brakes = [] - self.sensors = Components() - self.aerodynamic_surfaces = Components() - self.rail_buttons = Components() - self.surfaces_cp_to_cdm = {} - - # Drag models - self.power_on_drag = Function( - drag_coefficient, - "Mach Number", - "Power-On Drag Coefficient", - interpolation="constant" - ) - self.power_off_drag = Function( - drag_coefficient * 1.2, - "Mach Number", - "Power-Off Drag Coefficient", - interpolation="constant" - ) - def add_parachute( - self, name, cd_s, trigger, sampling_rate=100, lag=0, noise=(0, 0, 0) - ): - parachute = Parachute(name, cd_s, trigger, sampling_rate, lag, noise) - self.parachutes.append(parachute) - self.total_mass = None - self.evaluate_total_mass() - return self.parachutes[-1] - - def evaluate_total_mass(self): - """Returns Function of total mass (dry + motor).""" - if self.motor is None: - print("Please associate this rocket with a motor!") - return False - - motor_mass_func = ( - self.motor.total_mass if hasattr(self.motor.total_mass, "get_value_opt") - else Function(lambda t: self.motor.total_mass) - ) - - self.total_mass = Function( - lambda t: self.mass + motor_mass_func(t), - inputs="Time (s)", - outputs="Total Mass (Rocket + Motor + Propellant) (kg)", - title="Total Mass (Rocket + Motor + Propellant)" - ) - return self.total_mass - - # pylint: disable=too-many-instance-attributes, too-many-public-methods, too-many-instance-attributes class Rocket: """Keeps rocket information. @@ -2085,3 +2005,119 @@ def from_dict(cls, data): ) return rocket + +class PointMassRocket(Rocket): + """Rocket modeled as a point mass for 3-DOF simulations.""" + + def __init__(self, mass, radius=0.05): + self, + radius: float = 0, + mass: float = 0, + center_of_mass: float = 0, + power_off_drag = 0, + power_on_drag = 0, + super().__init__( + radius=radius, + mass=mass, + inertia=(0, 0, 0), + center_of_mass_without_motor=center_of_mass, + power_off_drag=power_off_drag, + power_on_drag=power_on_drag, + ) + @cached_property + @funcify_method("Time (s)", "I_xx (kg·m²)") + def I_11(self) -> Function: + """Returns the moment of inertia around the x-axis for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_22 (kg·m²)") + def I_22(self) -> Function: + """Returns the moment of inertia around the y-axis for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_33 (kg·m²)") + def I_33(self) -> Function: + """Returns the moment of inertia around the z-axis for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_12 (kg·m²)") + def I_12(self) -> Function: + """Returns the product of inertia I_xy for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_13 (kg·m²)") + def I_13(self) -> Function: + """Returns the product of inertia I_xz for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_23 (kg·m²)") + def I_23(self) -> Function: + """Returns the product of inertia I_yz for a point mass (always 0).""" + return Function(0) + + @property + def dry_I_11(self) -> float: + """Returns the dry moment of inertia around the x-axis for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_22(self) -> float: + """Returns the dry moment of inertia around the y-axis for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_33(self) -> float: + """Returns the dry moment of inertia around the z-axis for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_12(self) -> float: + """Returns the dry product of inertia I_xy for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_13(self) -> float: + """Returns the dry product of inertia I_xz for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_23(self) -> float: + """Returns the dry product of inertia I_yz for a point mass (always 0).""" + return 0.0 + + def evaluate_inertias(self): + """Calculates and returns the rocket's inertias. For a PointMassRocket, these are always zero.""" + self.I_11 = self.I_22 = self.I_33 = Function(0) + self.I_12 = self.I_13 = self.I_23 = Function(0) + return (0, 0, 0, 0, 0, 0) + + def evaluate_dry_inertias(self): + """Calculates and returns the rocket's dry inertias. For a PointMassRocket, these are always zero.""" + self.dry_I_11 = self.dry_I_22 = self.dry_I_33 = 0.0 + self.dry_I_12 = self.dry_I_13 = self.dry_I_23 = 0.0 + return (0, 0, 0, 0, 0, 0) + + @property + def center_of_mass(self) -> Function: + """Returns the center of mass for a PointMassRocket. + If a motor is attached, this will be the motor's center of mass. + Otherwise, it will be the `center_of_mass_without_motor`. + """ + if self.motor and not isinstance(self.motor, EmptyMotor): + return self.motor_center_of_mass_position + return Function(self.center_of_mass_without_motor) + + @property + def center_of_dry_mass_position(self) -> float: + """Returns the center of dry mass position for a PointMassRocket. + If a motor is attached, this will be the motor's center of dry mass position. + Otherwise, it will be the `center_of_mass_without_motor`. + """ + if self.motor and not isinstance(self.motor, EmptyMotor): + return self.motor_center_of_dry_mass_position + return self.center_of_mass_without_motor From 87e7dce5816355d4d8d9fb69b2e11bd95496a2f5 Mon Sep 17 00:00:00 2001 From: Ishan Date: Fri, 11 Jul 2025 23:45:52 +0530 Subject: [PATCH 11/56] MNT: fixing certain calculations on point mass motor -MNT: fixed calculations of mass flow rate and exhaust velocity -MNT: adjusted propellant initial mass setter error by allocating the input initial mass to the property --- rocketpy/motors/PointMassMotor.py | 84 +++++++++++++++++++++++-------- 1 file changed, 64 insertions(+), 20 deletions(-) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index 4370ea6b1..9252127b9 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -20,12 +20,12 @@ class PointMassMotor(Motor): def __init__( self, thrust_source, - dry_mass: float, - propellant_initial_mass: float, # Now explicitly required - burn_time: float = None, - propellant_final_mass: float = None, - reshape_thrust_curve: bool = False, - interpolation_method: str = "linear", + dry_mass, + propellant_initial_mass, + burn_time = None, + propellant_final_mass = None, + reshape_thrust_curve = False, + interpolation_method = "linear", ): """Initialize the PointMassMotor class. @@ -69,7 +69,6 @@ def __init__( TypeError If an invalid type is provided for `thrust_source`. """ - # Input validation: Ensure critical parameters for mass flow are present if isinstance(thrust_source, (int, float, Callable)): if propellant_initial_mass is None: raise ValueError( @@ -91,10 +90,9 @@ def __init__( "Invalid 'thrust_source' type. Must be int, float, callable, str, numpy.ndarray, or Function." ) - self.propellant_initial_mass = propellant_initial_mass + self._propellant_initial_mass = propellant_initial_mass self.propellant_final_mass = propellant_final_mass - # Call the superclass constructor, passing center_of_dry_mass_position=0 super().__init__( thrust_source=thrust_source, dry_inertia=(0, 0, 0), # Inertia is zero for a point mass @@ -103,7 +101,7 @@ def __init__( dry_mass=dry_mass, nozzle_position=0, # Nozzle is at the motor's origin burn_time=burn_time, - reshape_thrust_curve=reshape_thrust_curve, # Pass the user-provided value + reshape_thrust_curve=reshape_thrust_curve, interpolation_method=interpolation_method, coordinate_system_orientation="nozzle_to_combustion_chamber", # Standard orientation ) @@ -118,10 +116,59 @@ def __init__( # Removed the center_of_dry_mass_position override. It is now passed directly # to the super().__init__ as 0. + @property + def propellant_initial_mass(self): + """Returns the initial propellant mass for a point mass motor. + + This property retrieves the value set during initialization. This implementation + is required as 'propellant_initial_mass' is an abstract method in the parent Motor class. + + Returns + ------- + float + Propellant initial mass in kg. + """ + return self._propellant_initial_mass + + @funcify_method("Time (s)", "Exhaust velocity (m/s)") + def exhaust_velocity(self): + """Exhaust velocity by assuming it as a constant. The formula used is + total impulse/propellant initial mass. + + Returns + ------- + self.exhaust_velocity : Function + Gas exhaust velocity of the motor. + + Notes + ----- + This corresponds to the actual exhaust velocity only when the nozzle + exit pressure equals the atmospheric pressure. + """ + return Function( + self.total_impulse / self.propellant_initial_mass + ).set_discrete_based_on_model(self.thrust) + + @cached_property + @funcify_method("Time (s)", "Mass flow rate (kg/s)", extrapolation="zero") + def total_mass_flow_rate(self) -> Function: + """Time derivative of the propellant mass as a function of time. + + It calculates mass flow rate as the negative of thrust divided by exhaust velocity, + consistent with the fundamental rocket equation. + + Returns + ------- + Function + Time derivative of total propellant mass a function of time. + """ + + exhaust_vel_func = self.exhaust_velocity + return -self.thrust / exhaust_vel_func @cached_property @funcify_method("Time (s)", "Propellant Mass (kg)") - def center_of_propellant_mass(self) -> Function: + def center_of_propellant_mass(self): """Returns the position of the center of mass of the propellant. For a point mass motor, the propellant's center of mass is considered @@ -134,12 +181,9 @@ def center_of_propellant_mass(self) -> Function: """ return 0 - # Removed exhaust_velocity override. It will now be inherited from the Motor base class, - # which calculates it dynamically based on thrust and mass_flow_rate. - @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_11(self) -> Function: + def propellant_I_11(self): """Returns the propellant moment of inertia around the x-axis. For a point mass motor, this is always zero. @@ -153,7 +197,7 @@ def propellant_I_11(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_12(self) -> Function: + def propellant_I_12(self): """Returns the propellant product of inertia I_xy. For a point mass motor, this is always zero. @@ -167,7 +211,7 @@ def propellant_I_12(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_13(self) -> Function: + def propellant_I_13(self): """Returns the propellant product of inertia I_xz. For a point mass motor, this is always zero. @@ -181,7 +225,7 @@ def propellant_I_13(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_22(self) -> Function: + def propellant_I_22(self): """Returns the propellant moment of inertia around the y-axis. For a point mass motor, this is always zero. @@ -195,7 +239,7 @@ def propellant_I_22(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_23(self) -> Function: + def propellant_I_23(self): """Returns the propellant product of inertia I_yz. For a point mass motor, this is always zero. @@ -209,7 +253,7 @@ def propellant_I_23(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_33(self) -> Function: + def propellant_I_33(self): """Returns the propellant moment of inertia around the z-axis. For a point mass motor, this is always zero. From 0e4d8a442d55a9748878fe27b26461e5aa97a747 Mon Sep 17 00:00:00 2001 From: Ishan <99824864+aZira371@users.noreply.github.com> Date: Fri, 11 Jul 2025 23:51:29 +0530 Subject: [PATCH 12/56] Rename PointMassMotor.py to pointmassmotor.py MNT: renaming pointmassmotor.py -MNT:snake case renaming --- rocketpy/motors/{PointMassMotor.py => pointmassmotor.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename rocketpy/motors/{PointMassMotor.py => pointmassmotor.py} (100%) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/pointmassmotor.py similarity index 100% rename from rocketpy/motors/PointMassMotor.py rename to rocketpy/motors/pointmassmotor.py From e299a30334ff40d4b46d1d5541ed65e0d8575bc2 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 12 Jul 2025 00:09:16 +0530 Subject: [PATCH 13/56] MNT: updates to 3dof example -MNT: incorporating latest structural changes made to PointMassMotor and PointMassRocket --- docs/examples/3_DOF_TRIAL.ipynb | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb index 39636df56..d7e5f7d45 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -10,9 +10,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from scipy.signal import savgol_filter\n", - "from rocketpy.rocket.rocket import BaseRocket\n", "from rocketpy.rocket.rocket import PointMassRocket\n", - "from rocketpy.motors.PointMassMotor import PointMassMotor\n", "from rocketpy import Flight, Environment, Function\n" ] }, @@ -77,7 +75,7 @@ }, { "data": { - "image/png": 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vEUCvm+tPtKriT8PyPoz4bR+bTyVyMSmTfReS+GTdCQ5dSi5SOQdib/D1xtMcupRMXHIWa4/Ek5SRS+WAu99AKufrysGLyVxMyiQpI9eQjGjUKno3Kse0tSep4O9eqFvu3URWKkNmrpZTCXe/yfRMy4q80ak6w37ew56b9UDrqmUpX8aNN5ZEc/xKKnvPJ/HpzUHoBX0Soo7F06qK/31bXx7WgdhknDRqw2yawvpJFyxhFpGVypCdp6NyWXfDWASAZpX8SM/RUqmse6FF/0pieOuKXE3L5s3F0ahU0LdxGJ1qBZJWhCTk0c82oVKB+82FCNtU9WdY64r3HPdwL4FeLix9qQX/99dxnv5hF7n5OkJ9XGlbLYCCbq+vPFoVB7WK6VGnuJqWTYCni2HgooNGzf+eqMXMDTFMjzpFkwp+hRZrLPB2lxro9TBmcTTpN6fh/fW5psXqQ3w3/ZqE8cRXW0nNzjMMQnyQPw5d5rUO1R6qXCGEsLRNpxJp+tEGHNQqvF0dqRnsxYTutejd8NZChCqVip+ebcqn607y1tJokjJyKevhTNOKfvecrOS/PF0c2HUuiR+3niMtR0s5H1fGP1bTMKnIfw1vXYk3lkTT8fNNZOfp2DK2naGrVr/G5fl64xn6NHrwAn2+7k50qhXEioNxd3SXKjCsVUVletyf9vDLc01oFO7H7Kcb886yQzz51TbC/Fx5t1tNhv2yF+ebN52ijiUYEjRTWRV9mScbhJo0yRHmpdLfrS1OCGG3Xp63j1oh3oxsV+WB+248eZWP1hxn7aut7+jbK4QQwrR2n0ti0JydbH+nfaGbe/dy/EoqT/+wi01vtcP9HtPxPsje80n0nrWDTW89gqeLI00/+psd44pWfkkkZeTy6Gf/8seoVjLTog2RbwxCiELGda2JexHvMmXl5vNJ77qSfAghhBnlaPO5kpLFjL9P0a1OcJG//NcM9uLtLjW4eKPoE6KsPRLPlhilu9nWmGuM+/0wjcN9CS/jTnJmLu89VtNkyQfApRuZfPhkbUk+bIy0gAghhBBCWJEley/y9rJDRIR4MWdIE4K8H64L8/0s23eJrzaeJi45Cz83J1pW8ee9x2riKzNSiYcgCYgQQgghhBDCbKTfhBBCCCGEEMJsJAERQgghhBBCmI0kIEIIIYQQQgizkXVAiuDXHef5btNZEtNzqBnsxcTutagf5mPpsCxi19nrzN58lsNxKVxNy+G7pxvRuVaQ4Xm9Xs/nUadYsOciqVl5NK7gy+Qedajo727YJzkzlwmrjrLh+FVUKuhaO4gJT9Qq8ZSApd3XG0+z7mg8Z66m4+KooWG4L+90rUHlsrcWncrOy+ejNcf549BlcrU62lQty4c9aheaWSQuOYv3lh9mx9nruDs50KtROcZ2rm6zM1D9tvMC83Ze4NKNLACqBnrwSvuqhrny5ZoJYTseVLf819XUbCavOc7huBTOX8/gmRYVmPBErXvuvyr6Mq8sOEDHiEC+H9LYFKdgdqa6ZilZeXy67iRrj8aTkplHqK8rHzweQbsad1+nxJqY6pr9sPUc83ZeUAbquzvRtXYwY7tUlwV670Nq4Qf4I/oyk1cf59UOVVkzuhURwZ4M+WEX19JzLB2aRWTm5VMz2ItJT959hfBZm87y0/bzfNSjNitGtsTV0YEhP+4iOy/fsM+rCw9yKiGd34Y15cdnmrD7XBLjfj9srlMwu13nkni6eTjLR7bkt2HN0ObrGPLDbjJzby2Q+OHqY2w4nsA3AxuyaEQkCWnZvDh3n+H5fJ2e537aQ16+nmUvteDTvvVYuu8S06NOWeKUzCLYy4W3u9Tgj9GtWDWqJS0ql2HEr3s5lZAGyDUTwpY8qG75rxytDj93J0a1q0LNIK/77nsxKZMpa47TtIKfMUItNUxxzXK1Op7+YReXbmTy7aCGbHijLVN71iHwIRcKLi1Mcc1WHozj47UneLVDVf4e05aPe9Vl9aHLfLLupDFDtzm2ecvZiOZsPUf/pmH0bRwGwEc96vDPiass3nuRlx958EJttqZd9YB7rtaq1+v5cds5Rj9ahU437yhM71ePxpP/Zv2xBLrXC+H01TQ2nUpk1aiW1C3nA8D/utfi2Z/3MP6xmjbzIXe7X59rWujnT/vUo9Hkvzl8KYVmlcqQmp3H4r0X+aJ/A1pU8Qfgk9716DB9E/tjb9CwvC+bYxKJuZrG3OebUdbTmVrAmI7V+PivE7zWoRpODrZ3L6FDRGChn9/qXIO5O2M5EHuDIG8XuWZC2JD71S13E+bnxv+6K3eiF++9eM/98nV6Xlt0kNc7VmX3uRukZuc9dKylhSmu2eK9F0nOzGPZSy1wvNlSbEvrb5jimu27cIPG4b48WT/U8Jru9UI4eDH5oeO1ZVID30euVseRuBRa3vyCA6BWq2hZxZ/9F5ItF1gpdTEpi8S0nELXy8vFkfphPuy/cAOA/ReS8XJxMCQfAK2q+KNWqTgQm2zmiC0jLVtp+fBxU+ZQP3Iphbx8faHrViXAg1AfV8N1O3DhBtWDvAp1L2pbrSxpOVpDi4Aty9fpWRV9mazcfBqW95VrJoQoki82xFDG3Yl+TcpbOhSr8PfxBBqW9+GDlUdoPDmKTp9v4uuNp8nXyYoN99Io3JfDcSmGhCP2eiYbT161iS5rpiQtIPdxIzOXfJ0ef4/CK3yW9XDmTGKGhaIqvRLTswHl+tyurIcziTe7rCWm59xxPR00anxcHQ372DKdTs+k1cdoHO5L9SBPQLkmTho13q6Ohfb193D6z3Vz+s/zzobnbNWJ+FR6frOdHK0ONycN3z3diKqBnhy7kirXTAhxX3vOJ7F4z0X+fLW1pUOxGrFJmWy/kUWP+iH89ExTzl/P4P2VR8jL1/Fah2qWDq9UerJ+KEkZufSZtR29HrQ6PYOalWdkO/vrJVMckoAIYUbvrzzCyfg0lr4UaelQrEIlfw/+fKU1adla/jxyhTeWRLNoRHNLhyWEKOXSc7S8vuggU3vVwU9W7C4yvR783Z2Y2rMuGrWKOuW8SUjN5rvNZyUBuYcdZ67z9cYzfPhkbeqX9+H8tUwm/XGUmRtieKV9VUuHV2pJAnIfvm5OaNSqOwacJ6bn3HGXX0BZD2X8RmJ6DgG3jeVITM8hItjr5j7Od1xPbb6O5Kw8m7+mH6w8oowfeiGSYG9Xw/ayHs7k5utIycordEf/Wnqu4ZqU9XDm4MWUQscruI62fN2cHNRUuDmDWp1y3hy6lMyP287zRN1guWZCiHu6cD2DSzeyeP6XvYZtOr3Sjajyu3/yzxttCS/jfq+X262yns44alRo1CrDtsoBHiSm5ZCr1cnYubuYHnWSng1D6d9U6eZXI8iLrDwt434/zKh2VVDfdi3FLfKXdB9ODmpqh3qz/fQ1wzadTs/209dpGO5jucBKqTA/V8p6OrP99HXDtrTsPA5eTKZhuC8ADcN9SM3WcvjSrS+G289cR6fX06C8j7lDNgu9Xs8HK4+w7mg884c3v2NAX+1y3jhqVIX+zs4kphOXnGW4bg3CfTkZn1ooedsScw1PZweqBnpgL3Q6ZWyWXDMhxP1ULuvButfa8OcrrQ3/OtQMJLJSGf58pXWhm0Dilsbhvpy/lonutjEf5xIzCPB0luTjHrLy8lH9J8dQ39wgI2fuTVpAHuD5VhV5Y0k0dcr5UD/Mmx+2niczV0ufRmGWDs0iMnK0nL9+a/zLxaRMjl5OwcfNiVAfV55rWZEv/4mhgr87YX6ufLb+FIFeznS6OaNRlQBP2lYryzu/H+Kjp+qgzdcxYdVRnqgbYpMzYIHS7Wrlwct8P6Qx7s4arqYpY2W8XBxxcdTg5eJI38ZhTF5zHG83RzydHZmw6ggNy/vQsLzyZbpN1bJUDfDk9UUHGde1JonpOXy2/iRPR4bj7GCb84x/vPYEj1QrS4iPKxm5WlYevMzOc9f59bmmcs2EsDEPqls+XnuChJRspverb9jn6GXlRlZmbj5JGbkcvZyCk0ZN1UBPXBw1hnF2BbxclNbS/263Vsa+ZgCDm4fz644LTPzjKENbVOD89Qy++fc0z7SoYM5TMxlTXLP2NQL5Yes5aoV40yDMh/PXM5gedYr2NQMLtSSJwlR6vV4StAf4Zft5Zm8+S2JaDjVDvPjfExE0uPklx97sOHOdAd/vvGN7r4bl+KxvPcNChPN3XyQ1O48mFXz58MnaVLpt0b3kzFw+WHmUDccTUKtUdKkdxP+62+5ChBXeWXPX7Z/0rkufm9M7Fyyqtyr65qJ61fz5sEdtAjxvJWWXbmTy3ooj7Dx7HTcnB3o1DOXtLjVsdlG9sUuj2Xb6OolpOXi6OFAj2JMX21amddWygFwzIWzJg+qWNxZHc+lGJoteuDV+7m6fraE+rmx759G7lvHG4mhSs/NsZiFCU12zfRdu8OHqYxy7kkqQlwv9moTxYtvKNvFl2hTXTJuv46uNp1l+II74lGzKuDvRvmYgb3aufsdEKeIWSUCEEEIIIYQQZiO3AYUQQgghhBBmIwmIEEIIIYQQwmwkARFCCCGEEEKYjSQgQgghhBBCCLORBEQIIYQQQghhNpKACCGEEEIIIcxGEpAiyNHm83nUKXK0+ZYOxarIdSs+uWYlI9dNCPsj7/vik2tWfHLNTMOiCcjmzZt54oknCAkJQaVSsWLFikLP6/V6PvjgA4KDg3F1daVDhw7ExMQU2icpKYlBgwbh5eWFj48Pw4YNIz09vdA+hw4donXr1ri4uBAWFsa0adOKFWeuVscXG2LI1epKdJ72Sq5b8ck1Kxm5buJhWEtdJAqT933xyTUrPrlmpmHRBCQjI4N69erx9ddf3/X5adOmMXPmTGbNmsWuXbtwd3enc+fOZGdnG/YZNGgQR48eJSoqitWrV7N582ZGjBhheD41NZVOnToRHh7Ovn37+OSTT/jf//7H7NmzTX5+QgghSj+pi4QQwsz0pQSgX758ueFnnU6nDwoK0n/yySeGbcnJyXpnZ2f9ggUL9Hq9Xn/s2DE9oN+zZ49hn7/++kuvUqn0cXFxer1er//mm2/0vr6++pycHMM+b7/9tr569epFji01K1cf/vZqfWpWbklPzy7JdSs+uWYlI9dNGEtprotEYfK+Lz65ZsUn18w0HCyb/tzbuXPniI+Pp0OHDoZt3t7eNGvWjB07dtC/f3927NiBj48PjRs3NuzToUMH1Go1u3bt4qmnnmLHjh20adMGJycnwz6dO3fm448/5saNG/j6+t5Rdk5ODjk5OYafkzOy0aZe49KlS3i6OJrojG1PRq4WXU4mly/H4e5Uav/UShW5ZiVjrddNp9ORkJBAgwYNcHCwnrjtSWmqi7RaLcePHycsLAy1WoZwWuv73pLkmhWfPVwzS9RFpfZKxsfHAxAYGFhoe2BgoOG5+Ph4AgICCj3v4OCAn59foX0qVqx4xzEKnrvbh/7UqVOZOHHirQ0qNeh1RHz7cOdkr2rMsHQE1keuWclY63XbvXs3TZo0sXQY4i5KVV0k7spa3/eWJNes+OzhmpmzLiq1CYgljRs3jjFjxhh+vnjxIrVr12b79u0EBwdbMLLC8vLy2Lx5M23atMHR0TpbZuQciu+lxcc4eiWDyY9XoU3lO7+0lJT8Looh7Qqqg7+hPrIMVV4mAHo3f3T1B6Ov3QdcvIp0mCtXrtCiRYs7vtwKAQ9fF2m1WkbOWc/xnLI0UZ/kk6fbovYJM2XIZmELn1X/JedU+tna+cCtc6pWrRpt2rQxa11UahOQoKAgABISEgp90CYkJFC/fn3DPlevXi30Oq1WS1JSkuH1QUFBJCQkFNqn4OeCff7L2dkZZ2dnw8/e3t4AhIWFUa5cuYc4K+PKy8vj2LFjVKhQwWrfDHIOxZfveAG1s54q4WFUqOBvtOPK76IIrhyCHV/BkWWg04IrUL4WtBgNdXqDg/MDD3G7gqZu6U5Tell7XTTzJTee/HYX+2jA1nWLGPLqlCInyKWVLXxW/ZecU+lna+cDt84pLEy5MWHOuqjU1noVK1YkKCiIDRs2GLalpqaya9cuIiMjAYiMjCQ5OZl9+/YZ9vnnn3/Q6XQ0a9bMsM/mzZvJy8sz7BMVFUX16tXv2uQtRGmXnq0FwMOl1N4/sC16PZzeAL8+Cd+1hkOLlOSjQmsYuARe3gENBhU7+RDWwdrrokohZekRpowjmXLjUc7Mew3ytSYrTwghisKiCUh6ejoHDx7k4MGDgDLY7+DBg8TGxqJSqXjttdeYPHkyq1at4vDhwwwZMoSQkBB69OgBQM2aNenSpQvDhw9n9+7dbNu2jVGjRtG/f39CQkIAGDhwIE5OTgwbNoyjR4+yaNEivvjii0LN2kJYk7ScmwmIsyQgJqXNheiFMKsVzO0JZ/8FlQZq94LhG+GZ1VCtE6hUlo5UPCRbr4uahbrSopwj2Tgz5nQ9tGvfNXmZQghxPxb9BrN3717atWtn+Lngg3jo0KH8/PPPjB07loyMDEaMGEFycjKtWrVi7dq1uLi4GF4zb948Ro0aRfv27VGr1fTq1YuZM2canvf29mb9+vWMHDmSRo0a4e/vzwcffFBofnYhrIVeryc9R1pATCo7Ffb9DDu/hbTLyjZHd2g4BJq/BL7hFg1PGJ+t10VqFfxf/0ge+2IT0XlV+GbHAV4p+z00HW7ysoUQ4m4s+g3mkUceQa/X3/N5lUrFpEmTmDRp0j338fPzY/78+fctp27dumzZsqXEcQpRWmTm5lPwlvF0to0+qKVGShzs+hb2/QI5qco2j0Bo9gI0ehbc/CwbnzAZe6iLgr1d+LBnA15bdJCZ2qdot+Z/1PGtCFU7PPjFQghhZHILVQgrUtD6oVGrcHEstUO4rEv8Edj+JRxZqoztAPCvpgwsr9tPxnYIm/Fk/RDWH43nzyPxvJ77IqsXD8fl+TUQGGHp0IQQdkYSECGsSNrNAeieLg6oZOxByen1ypiO7V/CmVuDiwlvpSQeVTuBzEwlbIxKpWLyU3XYcz6J0+nl+CSzG+8v6AfP/wMeZS0dnhDCjkgNK4QVSctWZtCRAegllJ8HhxYrs1n91kNJPlRqqPUUDP8Hnl0D1btI8iFslp+7Ex/3rgvAD/nd2H7dAxYOhLxsC0cmhLAnUssKYUXSZQaskslJgx1fw8wG8PtwiD8Mjm7Q9AUYvR/6/AyhjSwdpRBm8WiNQAY0LQ/AW9qXSL14GFaOhPuMgxFCCGOSbzFCWJH027pgiSJIvaIMLN/7M+SkKNvcyyoDyxsPk4Hlwm6991hNtp2+RmwSTNQ+w2dHvgX/qvDIO5YOTQhhB+RbjBBWRNYAKaKrx2HPLKW7le7mwm9lqt4aWO7ocv/XC2Hj3J0dmN63Hn2+28Gy/NZ0VO+hy79ToUwVqNPb0uEJIWycfIsRworcWgVdpuC9g16P6vwWmp/5FMcDh25tL99CSTyqydgOIW7XuIIfL7SpzKxNZ3iX0TTSj6bsipfBpzyENbV0eEIIGya1sRBWRMaA3EW+Fg4vhdltcZj3FIGph9Cr1BDxJDy/AZ77C2p0k+RDiLt4vWNVagR5kpTnyDjn99Brc2DBALhxwdKhCSFsmNTIQliRggTES8aAQE66slr5zAawbBhciUbv4MpZ/w5oX9oFfX+Fco0tHaUQpZqzg4bP+9XHUaPi79RyLPEYBJnXYH4/yE6xdHhCCBslCYgQVkSm4QXS4uHvifB5BKx9B1Jiwc0f2o1HO/ogh8OGgG9FS0cphNWoGezFmI7VAZiY9gQXXSMg8TgseVZpYRRCCCOTBEQIK5JmGANihwnI1RPKVKEz6sDW6crd2TJV4PEZ8PoRaDsW3MpYOkohrNKINpVoUsGXjFwdb7hOIl/jpqyTs1ZmxRJCGJ8kIEJYEbsbA6LXw7ktMK8vfNMMDsyF/FwIaw7958PIPdD4WXB0tXSkQlg1jVrFZ33q4+akYfflXH6sMVt5Ys/3sGu2ZYMTQtgcSUCEsCJ2sw5IvhaOLIPv28Evj0PMOkAFNZ+AYVEwbB3UeEwGlgthROXLuPH+4xEAfHLQgZNNpyhPrH0bYqIsGJkQwtZI7S2EFbnVAmKj0/DmpMPOWfBlA1j6HFw+AA4uyqKBo/dBv7kyPagQJtS/SRiP1gggN1/H6zF1ya37NOh1yniQhKOWDk8IYSMkARHCitjsGJC0BNgwCT6vpdxtTY5VxnM8Mg5ePwqPT4cylS0dpRA2T6VS8X+96uDr5sixK6nMdH0ZwltBbhrM7w/pVy0dohDCBkgCIoQVKWgBsZkuWIknYeUomFEbtnwG2cngVwke+wxeOwKPvAPu/paOUgi7EuDpwpSn6gDwzeZz7GvxDfhVVmacWzgQ8rIsHKEQwtpJAiKEldDr9bcSEGsehK7Xw/ltyt3Ur5vCgd+UgeXlmipdrEbthSbPg5ObpSMVwm51rRPMUw1C0enhjVVnyey9EFx84NIeZTY6vd7SIQohrJgVf4sRwr5k5eWTr1MqfavsgqXLh+OrYPuXELfv5kaVMpi8xWgo39yi4QkhCvtf91rsPHud89czmbI7h8n9foPfnlImiChTBdq9a+kQhRBWSlpAhLASBTNgqVXg6qixcDTFkJuhTOM5swEseUZJPjTO0OhZGLUH+s+T5EOIUsjb1ZFP+9QDYO7OWDbl1YTHP1ee3PQxHFpsweiEENbMCm+jCmGf0m5bA0SlUlk4miJIvwq7Z8OeOZB1Q9nm6gdNh0OT4eBR1rLxCSEeqGUVf55pUYGft59n7NJo1r3WH59rMbB9ptIVyyccyjezdJhCCCsjCYgQVuLWGiClfAreazGw4ys4uADyc5RtvhUgchTUHyRjO4SwMm93qcHmmETOJmbw/sqjfNlvIiSdhROrlUHpwzco73EhhCgi6YIlhJUo1aug6/VwYQcsGABfNYZ9PyvJR2gj6PMLjN6vtHxI8iGE1XF10vB53/po1Cr+iL7MqsPx0HM2BNeDzGswvx9kp1g6TCGEFZEERAgrkVYaV0HX5cOxlfBDR/ipC5z8U9lerSs8+xc8vwFq9QC1FY1ZEULcoV6YD6PaVQHg/RVHiM/SwICF4BkMiSeU8V35WssGKYSwGpKACGEl0rLzgFIyA1ZuJuz+Hr5sBIuHKFNzapyg4RAYuQcGLoTwFmANY1WEEEUy6tEq1C3nTUpWHmOXHULvGawkIY5ucOYfZRFRmZ5XCFEEkoAIYSVKRResjGuwcaqycOCfb8KNc8raAK3fVBYO7P4llK1mufiEECbjqFEzvW89nB3UbD6VyNxdsRBSH3p+D6iUCSd2fWfpMIUQVkASECGsRLolu2BdPwOrX4fPa8Gm/4PM6+BTHrpOgzHHoP374Blo/riEEGZVJcCTt7vUAGDKmuOcu5YBNR+HjhOVHdaNg1PrLRihEMIaSAIihJWwSAvIxd2wcJDS1Wrvj6DNhpAG0PsnGH0Amr0ATu7mi0cIYXHPtKhAi8plyMrLZ8zig2jzddDiFWjwNOh1sPQ5SDhq6TCFEKWYJCBCWIlb64CYeBpevQ6Or4YfOimDy0+sBvRQrQs8swaGb4TaPUFTCsaiCCHMTq1W8Umfeng6O3AgNpnvNp9Vxns9Nh0qtIbcNGVmrLQES4cqhCilJAERwkoUdMEy2SD0vCzCr/2Dw6zmsGgQXNylDCxvMBhe3gUDF0GFVjKwXAhBqI8r/+teC4DPo05xJC4FHJyg76/gVxlSLiprhORlWThSIURpJAmIEFaioAuW0ceAZFyHfz/G4asG1L/4M6qks+DiDa3GwGuH4cmvIaCGccsUQli9ng1D6VwrEK1Oz5jFB8nOywc3Pxi0RJmcIm4vrHgJdDpLhyqEKGUkARHCShRMw+tprDEgSWdhzRvKwPJ/p6DKvEamkz/5HT+C149BhwngGWScsoQQNkelUjHlqTr4ezhxKiGdz9afVJ4oUxn6zQW1IxxdDv9OtWygQohSRxIQIaxEmrG6YF3aC4uehpkNlWkztVkQXA9tj9n8HfEJuqYvgLOHESIWQti6Mh7O/F/PugDM2XqOnWevK09UbA1PzFAeb54G0YssE6AQolSSBEQIK/FQs2DpdHDiT/ixK8xpD8dXAXqo0hGG/gEjNqGv1RO9SlYsF0IUT4eIQPo1DkOvhzcWRxtaa2kwGFq+pjxeNQpid1osRiFE6SIJiBBWokRjQPKyYd/P8HVTWDgAYrcr3SLqD4aXdsDgpVCxjQwsF0I8lPefiKCcrytxyVl8uPrYrSfaT4Aaj0N+rjIoPemc5YIUQpQakoAIYQX0ev2tWbCKMg1vZhJs+kRZsfyPV+F6DDh7K3cjXzsMPb6GwAjTBi2EsBsezg5M71sflQoW771E1LGbU/Cq1dBzNgTXUxYwnd8PspItGqsQwvIkARHCCuRodWh1euABY0CSzsGfbykDyzdOhoxE8CoHnafAmKPKasVewWaKWghhT5pW9GNE60oAvLPsENfSc5QnnNxhwCLwDIFrJ2HJM5CfZ7lAhRAWJwmIEFagYAC6SgXuTncZpxG3DxYPhS8bwu7ZkJcJQXWg5xx49SBEjgRnT/MGLYSwO2M6VaN6oCfXM3IZv/wwer1y4wSvYBi4EBzd4OxG+GssFDwnhLA7koAIYQUKBnV6ODugKhivodPBybXwUzf4/lE4tkJZxbxKBxiyEl7YAnX7gMbEK6cLIcRNzg4apverh6NGxbqjCSzbH3fryeB60GsOoIK9P8KuWRaLUwhhWZKACGEFDAPQnR2UgeX7f4VvmsOCfnBhG6gdoN4AeGk7DF4GlR6RgeVCCIuoFeLNax2qATBx1VEu3ci89WSNx6DjJOXxunfh1DoLRCiEsDRJQISwAoYB6PnJMKMOrBqt9KV29oIWr8Crh+CpWRBYy7KBCiEE8GLbyjQK9yUtR8tbSw6h093W3arFaGg4RGmxXfocxB+xXKBCCIuQBESI0u7GBdJ2/AiAR0YsZFwFr1DoNBlePwqdPgTvUAsHKYQQt2jUKj7rUw83Jw07zl7nx223Tb+rUsFj05UpwHPTlZmx0hIsF6wQwuwkARGitLp8AJY8CzPrk35qMwAezhp4aja8Gq3cRXTxsnCQQghxdxX83Rn/WE0Apq07SUxC2q0nNY7Q91coUxVSLynrFOVlWShSIYS5SQIiRGmi08Gp9fDz4zD7ETj6O+h1pJepC4Bn1ZZQr58MLBdCWIWBTcvTtlpZcrU6Xl98kLx83a0nXX1h4CLl/7h9sPxF5TNQCGHzJAERojTQ5sCBufBtJMzvA+e3KAPL6/SFF7aQXu85ADxdJPEQQlgPlUrFtN518XFz5EhcKl9uiCm8Q5nK0G8eqB2Vmfz+nWKROIUQ5iUJiBCWlJUMW6bDjLqwciQkngAnT4gcpXSz6vU9BNcl9bZpeIUQwpoEerkwuUdtAL7+9wwHYm8U3qFCS+g+U3m8+ROIXmjmCIUQ5ibfZoSwhORY2PmtMp1ubrqyzTMYmr8EjZ4BF+9CuxtmwbrfKuhCCFFKPV43hPVHE1gVfZk3Fkez5pXWuN6+qGr9gXAtBrZOV2b58wmH8EjLBSyEMClpARHCnK5Ew9Jh8EV92PmNknwE1IIes5SpdFu+ekfyAbfWAZEWECGEtfrwydoEejlz9loG//fX8Tt3ePR9qNkd8nNh0SBIOnfnPkIIm1DqE5C0tDRee+01wsPDcXV1pUWLFuzZs8fwvF6v54MPPiA4OBhXV1c6dOhATEzhPqZJSUkMGjQILy8vfHx8GDZsGOnp6eY+FWGv9HqI+Rt+6Q7ftYEjS0GfDxXbKosGvrQN6g8AB6d7HqKgBcRTWkCEsAipix6et5sjn/SuB8AvOy6wJSax8A5qNTz1HYQ0gMzrML+v0k1VCGFzSn0C8vzzzxMVFcVvv/3G4cOH6dSpEx06dCAuLg6AadOmMXPmTGbNmsWuXbtwd3enc+fOZGdnG44xaNAgjh49SlRUFKtXr2bz5s2MGDHCUqck7IU2Fw7Oh29bwLxecG4TqDRQpw+8sBmGroIqHYq0YnmaoQVEBqELYQlSFxlHm2plebp5OABvLTlESmZe4R2c3GDAQmWto2unYMkzkJ9354GEEFatVCcgWVlZLFu2jGnTptGmTRuqVKnC//73P6pUqcK3336LXq9nxowZvPfeezz55JPUrVuXX3/9lcuXL7NixQoAjh8/ztq1a5kzZw7NmjWjVatWfPnllyxcuJDLly9b9gSFbdLmwJ4f4MuGsOIluHoMnDyg+cibA8vnQHC9Yh1SxoAIYTlSFxnXuG41qOjvTnxqNh+sussq6J5BShLi6A5nN8KfbyktyUIIm1GqExCtVkt+fj4uLi6Ftru6urJ161bOnTtHfHw8HTp0MDzn7e1Ns2bN2LFjBwA7duzAx8eHxo0bG/bp0KEDarWaXbt2medEhH3Iy4Jd3ynjO9aMgZSL4BEIHf6nrFjeZQr4hJXo0Jm5SgLifvugTSGEWUhdZFxuTg581rceahWsPHiZNYeu3LlTcF3o/QOggn0/KWPmhBA2o1TfTvX09CQyMpIPP/yQmjVrEhgYyIIFC9ixYwdVqlQhPj4egMDAwEKvCwwMNDwXHx9PQEBAoecdHBzw8/Mz7PNfOTk55OTkGH5OS1NWb9VqteTllZ6m4IJYSlNMxWUT55CZQqWra3H4+k3IuAqA3jMYXeQr6OoPBkfXmzuW/BwzbnbBclKb7lrZxO/Cys5Bq9VaOgRRBNZcF5XW90SdYA9ebFOJbzadZfzyw9Qv50mAp3PhnSp1QN1hEpq/30e/bjz5XmHoq3Uttef0MOScSj9bOx+w7DmV6gQE4LfffuO5554jNDQUjUZDw4YNGTBgAPv27TNZmVOnTmXixIl3bN+wYQP+/v4mK7ekoqKiLB3CQ7PGc9DkZ1Px2gYqX/2LOtpUADIdyxAT9ASxfq3RJTpC1EajlJWapQFU7N6+hXOuRjnkPVnj7+K/rOUcrl27ZukQRBFZe11UGt8TlXVQzl3DpYw8np+9kRdq6O4cEqcvT13/R6l47R9YNoxtVd8jxa0CUDrP6WHJOZV+tnY+AJs3bzZ7maU+AalcuTKbNm0iIyOD1NRUgoOD6devH5UqVSIoKAiAhIQEgoODDa9JSEigfv36AAQFBXH16tVCx9RqtSQlJRle/1/jxo1jzJgxhp/j4uKIiIigffv2hIaGGvkMSy4vL4+oqCg6duyIo6N1Dk62ynPISUO9dw7qXd+iykoCIMOpLA6PvoNj/QFEaJyIMGJxer2e13YqH3hdO7W/8y6hkVjl7+I/rO0cCgYwi9LPWuui0v6eqNkknR6zdnI8GVIDajGgyV26qeZ3Qrd4IA5nN9I27huyn/6T9TuPlNpzKonS/nsqCVs7J1s7H7h1Tm3atDF72aU+ASng7u6Ou7s7N27cYN26dUybNo2KFSsSFBTEhg0bDB/yqamp7Nq1i5deegmAyMhIkpOT2bdvH40aNQLgn3/+QafT0axZs7uW5ezsjLPzrS95qanK3W0HB4dS+Ufn6OhYKuMqDqs4h6wbyhiPnd9Adoqyza8y2pavs+GiG10bdTfJOWTn5RvGX3q5OZv8OlnF7+IBrOUcHBys5iNY3GStdVFpfU9ElPNlbOfqTF5znKl/naJNtUAq+LsX3snREfr+Aj90QpV4Apffh6IJHF1qz+lhyDmVfrZ2PoBFzqfU137r1q1Dr9dTvXp1Tp8+zVtvvUWNGjV49tlnUalUvPbaa0yePJmqVatSsWJF3n//fUJCQujRowcANWvWpEuXLgwfPpxZs2aRl5fHqFGj6N+/PyEhIZY9OWEdMpNgx9ewezbkKF8A8K8Obd6C2j3R5+vQX/rTdMXn5hseuzmV+resEDZJ6iLTea5lRaKOJbDrXBJjFh9kyYst0Kj/0xfLxRsGLoY57VElHKZR9regexKwrS+CQtiLUj0LFkBKSgojR46kRo0aDBkyhFatWrFu3TpDtjZ27FhGjx7NiBEjaNKkCenp6axdu7bQbCXz5s2jRo0atG/fnm7dutGqVStmz55tqVMS1iQ5Fr5tCVs+VZKPgFrQ+yd4eQfU7QNq089KVTAA3dlBfWelLIQwC6mLTEetVvFZ33p4ODuwPzaZWZvO3H1H33DoPx+9xpnglAOo//7AvIEKIYym1N9O7du3L3379r3n8yqVikmTJjFp0qR77uPn58f8+fNNEZ6wZZlJ8FtPSLsMfpWg4ySo/piyWq8ZqW8mHTILvhCWI3WRaZXzdWPCExG8tfQQM/4+xSPVy1IrxPvOHcOakt/9KxyWD0ez5zvwC4fIkeYPWAjxUEp9C4gQFpGbAfP7wvUY8CoHQ1dDzSfMnnyA0vIBkKvVoZfFuIQQNqp3o3J0iggkL1/PmEXRZOfl33U/fcRTHA3pp/ywbjwcXW7GKIUQxiAJiBD/la+FJc/CpT3g4gNP/w7elpv9zMXxVjevHK3OYnEIIYQpqVQqpvSsg7+HEycT0pgedeqe+54O6EZ+4+cBPfz+AlzYYb5AhRAPTRIQIW6n18PqVyFmHTi4KoMey1a3aEgFLSAAOXmSgAghbJe/hzNTe9YF4PstZ9l19vrdd1Sp0HX8CGo8Dvk5sKA/JN47YRFClC6SgAhxu38+hANzQaWGPj9B+btPj2lODmoVBWPPs7V375IghBC2omNEIH0bl0OvhzeWRJOWfY9VmtUa6Pk9lGsC2ckwtxekJZg1ViFEyUgCIkSBXd/Bls+Ux4/PgOpdLRpOAZVKZeiGJS0gQgh78P7jEZTzdeXSjSw+XH3s3js6ucGAhcpEISmxML8P5KSbL1AhRIlIAiIEKIMY/3pbedzuPWg01LLx/EdBNyxpARFC2ANPF0c+61MPlQoW771E1LH7tGy4+8PgZeDmD1eiYckzylg+IUSpJQmIEOc2w+8jAD00eR7avGnpiO4gLSBCCHvTrFIZhreuBMC43w9xPT3n3jv7VVLG7Dm4wukoWPO6MqZPCFEqSQIi7Fv8YVg4CPJzoWZ36DoNVKVvsb+CFpAcaQERQtiRMR2rUT3Qk2vpuby7/PD9pyIv1wh6/6iM4dv/K2z+xHyBCiGKRRIQYb9uXFAGLeakQnhLZTCjGVY2Lwlnh5stIDINrxDCjrg4apjerx6OGhXrjiawbH/c/V9Qoxt0u5l4bPwIDsrCj0KURpKACPuUcR3m9oT0BAiIgP7zwdHF0lHdk4vjzTEg91iYSwghbFWtEG9e61ANgImrjhKXnHX/FzR5Hlq+pjxeNRrO/GPaAIUQxSYJiLA/uRnKTCnXT4N3mDJ40dXH0lHdl7SACCHs2YttK9Mo3Je0HC3v/H4E3YOGd7SfAHX6gE4Li4Yo3W2FEKWGJCDCvuTnKTOkxO0DV18l+fAKsXRUD+TsKGNAhBD2S6NW8Vmferg5adh57gabrjxgrJ5aDU9+DRVaQ24azOsDyRfNE6wQ4oEkARH2Q6+HVa9AzPpSs8p5URW0gGTLLFhCCDtVwd+d8Y/VBGB1rJqYqw9Y78PBGfrNhbI1Ie0KzOsNWcmmD1QI8UAOxdlZp9OxadMmtmzZwoULF8jMzKRs2bI0aNCADh06EBYWZqo4hXh4GyZC9HxQaaDPzxDW1NIRFZmhBUTGgAg7J/WQfRvYtDzrj8SzKeYaby07zPKXW+HkcJ97qa4+MHgpzOkAiSdg0WCl5dvB2WwxCyHuVKQWkKysLCZPnkxYWBjdunXjr7/+Ijk5GY1Gw+nTp5kwYQIVK1akW7du7Ny509QxC1F8O2fB1s+Vx098AdW7WDaeYrq1EKG0gAj7JPWQAFCpVEx5qhZuDnqOXk7jy39iHvwi73IwaAk4ecL5LbDiJdDJZ6kQllSkFpBq1aoRGRnJ999/T8eOHXF0dLxjnwsXLjB//nz69+/P+PHjGT58uNGDFaJEjvwOa99RHj/6HjR82rLxlIAsRCjsndRDokCApzN9K+n4+ZSGrzeepl2NABqW973/i4LqQL9flbEgR5YpSUnHSeYJWAhxhyK1gKxfv57FixfTrVu3u37oA4SHhzNu3DhiYmJ49NFHjRqkECV2dhMsfwFllfPh0Lr0rXJeFLdaQKQLlrBPUg+J2zUoo6d73WB0ehiz6CCZudoHv6jyo9D9S+Xxti9g9/emDVIIcU9FSkBq1qxZ5AM6OjpSuXLlEgckhNFcOfSfVc4/LpWrnBeFtIAIeyf1kPivCY/XIMjLhfPXM5n654mivaj+QGj3nvL4z7fg+GrTBSiEuKdiDUIvkJ2dzaFDh7h69Sq6//Sj7N69u1ECE+Kh3DivzHiSmwbhrUr1KudFIS0gQhQm9ZDwcnXk0z71GPzDLn7beYEOEYG0rVb2wS9s8yakxML+X2HZMBi6GsKamD5gIYRBsROQtWvXMmTIEK5du3bHcyqVivx8+YIkLCzjGvxWsMp5Leg/r1Svcl4UhoUIpQVECKmHhEGrqv4806ICP28/z1tLoln/eht83Jzu/yKVCh77HNLilWnZF/SDYVFQRlrNhDCXYq8DMnr0aPr06cOVK1fQ6XSF/smHvrC4nHRlkGHSGatZ5bwoXBylBUSIAlIPidu93aUGlcq6czUth/dWHCnaizQO0PsnCK4Pmddhbi9ITzRpnEKIW4qdgCQkJDBmzBgCAwNNEY8QJZefB4uHwOX94OoHg38Hr2BLR2UU0gIixC1SD4nbuTpp+LxvfTRqFasPXWFV9OWivdDZQ1mQ1qc83DintITkZpo2WCEEUIIEpHfv3vz7778mCEWIh6DXw6rRcGbDbaucV7N0VEZT0AKSIy0gQkg9JO5QL8yHUe2qAPDe8sPEp2QX7YWegcrNKldfiNunjAnRyeesEKZW7DEgX331FX369GHLli3UqVPnjukQX3nlFaMFJ0SR/T0Bohcoq5z3/cXmBhQaWkBkIUIhpB4SdzXq0SpsPHmVQ5dSeGtpNL8+1xRVUWY+9K8KAxbCL93h5J/K7FiPfWa1syYKYQ2KnYAsWLCA9evX4+Liwr///lvoza1SqeSDX5jfjm+UOd0Bus+Eap0tG48JFMyClZMnd+aEkHpI3I2jRs30vvV5bOYWtsRcY+7OCzwdWaFoLy7fHHp9D4uHwt4fwCcMWr1u0niFsGfF7oI1fvx4Jk6cSEpKCufPn+fcuXOGf2fPnjVFjELc2+GlsG6c8rj9B9BgsGXjMRHDOiDSAiKE1EPinqoEePBO1xoAfPTncc4mphf9xRFPQucpyuO//weHlhg/QCEEUIIEJDc3l379+qFWF/ulQhjX2X9h+YvK46YvQKsxFg3HlJwLZsGSFhAhpB4S9zU0sgItq5QhO0/HmMXRaPOLceMm8mVoPlJ5vOIlOLfZNEEKYeeK/ek9dOhQFi1aZIpYhCi6K9GwcDDo8iCiB3SZatP9dV1ujgHJllmwhJB6SNyXWq3ik9718HRx4ODFZL7990zxDtBpslKv6PKUeibhmEniFMKeFXsMSH5+PtOmTWPdunXUrVv3jsF/06dPN1pwQtxV0jmYe3OV8wqtoedsq17lvCgKWkByi3MnTwgbJfWQeJAQH1cmPVmL1xdF88WGGB6pHkCdct5Fe7FaDU99pyxmG7sD5vWG5/8GrxDTBi2EHSl2AnL48GEaNGgAwJEjhRf8KdJsE0I8jPREmNsTMq5CYB1llXMHZ0tHZXK3WkCkC5YQUg+JouhRP5SoYwn8eTie1xcfZPXoVobxdA/k6AL958OPneHaKWWB22f/Ahcv0wYthJ0odgKyceNGU8QhxIPlpMP8PpB0Vlk4avBScCniHS0r52xYB0RaQISQekgUhUqlYnKPOuw+d4PTV9OZtvYkHzwRUfQDuPnBoKUwpwMkHIHFT8PAJeDgZLqghbATMoJPWAdtrvLhf/kAuJWBwcvBM8jSUZlNwTS8+Tp98QZUCiGEHfNzd2Ja7zoA/LjtHNvPXCveAXzDYdBicHRXJj754xVl4VshxEMpUgLy4osvcunSpSIdcNGiRcybN++hghKiEJ0OVo2CM/+Ao5tyB8q/iqWjMqvbuw1kSyuIsENSD4mSerRGIAOalgfgzcXRpGbnFe8AIQ2UBW5VGmXB240fmSBKIexLkbpglS1bllq1atGyZUueeOIJGjduTEhICC4uLty4cYNjx46xdetWFi5cSEhICLNnzzZ13MKe/D0BDi0CtQP0/RXKNbJ0RGbnpLl1ryAnLx8P52L3nhTCqkk9JB7Ge4/VZNvpa8QmZfK/VUeZ3rd+8Q5QtSM8/rnSArL5E/AuB42eMUWoQtiFIrWAfPjhh5w6dYqWLVvyzTff0Lx5c8qXL09AQADVq1dnyJAhnD17ltmzZ7Nz507q1q1r6riFvdjxNWyfqTzu/pVSCdghtVplSEKkBUTYI6mHxMNwd3Zget96qFXw+/441h65UvyDNBoKbcYqj1ePgVPrjRukEHakyLdRAwMDGT9+POPHj+fGjRvExsaSlZWFv78/lStXlplHhPEdXgrr3lUed/gf1B9g0XAszdlRTW6+jhyZCUvYKamHxMNoXMGPF9pW5tt/zzDu98M0DPclwNOleAdp9y6kXILo+bBkKDyzBkIbmiZgIWxYifpx+Pr64uvra+xYhLjlzMZbq5w3ewlavmbRcEoDZwcNaWhlJiwhkHpIlMzrHarx78lEjl9JZdyyw8wZ2rh4iatKBd1nQtoVOLsR5vdV1gjxrWCymIWwRTILlih9Lh+ERTdXOa/VEzpPselVzovK5eZUvLIWiBBClIyTg5rP+9XDSaNmw4mrLN57sfgH0Tgq4xED60BGorIwbmaS8YMVwoZJAiJKl6SzyqqzuelQsS08NUtZlVYYpuKVFhAhhCi5GkFevNGpGgCT/jhG7PXM4h/ExQsGLQGvcnA9BhYMgLwsI0cqhO2Sb3ai9EhPhN96KneUgupAv7l2scp5URVMxSstIEII8XCeb12JphX8yMjN580l0eTrSrC2h1ewsiCuszdc3Am/j1CmjRdCPJAkIKJ0yElTWj5unAOfcBi0TLnDJAykBUQIIYxDo1bxWd96uDtp2H0+iTlbzpbsQAE1of880DjB8VWwfrxxAxXCRkkCIixOpdOiWfYsXDmorHL+9HLwDLR0WKWOtIAIIYTxhPm58cETEQB8tv4Ux6+kluxAFVtDj2+Vxzu/UaaPF0LcV5FmwWrQoEGRZ4nYv3//QwUk7IxeR4PYOahvbAdHd6VPbZnKlo6qVJIWEGHPpB4SptC3cRhRxxL4+/hVXl90kJWjWuLsoCn+ger0htQ4iPoA1o0Hr1Co1cPo8QphK4qUgPTo0cPEYQh7pd7wP8JubEevdkDV91cItb9VzouqoFKUBETYI6mHhCmoVCqm9qzL/hmbORGfxoy/Y3i7S42SHazFK5B8EfZ8r4wH8QiE8EjjBiyEjShSAjJhwgRTxyHs0fYv0ez6BoD8x2fiULWDhQMq3Qqm4ZWFCIU9knpImEpZT2emPFWHF+fu47tNZ2hfI4DGFfyKfyCVCrp+DKmX4eQaWNAfhkVB2WrGD1oIK1eiMSDJycnMmTOHcePGkZSkzH29f/9+4uLijBqcsGGHFsP69wA4GtIPfZ2+Fg6o9JMWECFukXpIGFOX2kH0algOnR7GLI4mI0dbsgOpNdBrDpRrAtnJMK8XpCUYNVYhbEGxE5BDhw5RrVo1Pv74Yz799FOSk5MB+P333xk3bpyx4xO26PQGWPESAPlNX+B0QDcLB2QdnKUFRAhA6iFhGhO6RxDq40psUiaT1xwv+YGc3GDAQvCrBMmxML8P5KQbL1AhbECxE5AxY8bwzDPPEBMTg4uLi2F7t27d2Lx5s1GDEzbo8gFYPAR0WqjdG12HD2WV8yIyzIIlLSDCzkk9JEzBy8WRT/rUBWDB7lj+OfEQLRfu/jBoqTKz45VoWPIM5JewVUUIG1TsBGTPnj288MILd2wPDQ0lPj7eKEEVyM/P5/3336dixYq4urpSuXJlPvzwQ/T6WwsG6fV6PvjgA4KDg3F1daVDhw7ExMQUOk5SUhKDBg3Cy8sLHx8fhg0bRnq63I0wu+tnYO7NVc4rPaJMW6iSmaCLqmAWLJmGV9g7c9ZDIHWRPWlR2Z9hrSoCMHbpYZIyckt+sDKVYeBicHCF01Gw5nXQl2DBQyFsULG//Tk7O5Oaeudc2adOnaJs2bJGCarAxx9/zLfffstXX33F8ePH+fjjj5k2bRpffvmlYZ9p06Yxc+ZMZs2axa5du3B3d6dz585kZ2cb9hk0aBBHjx4lKiqK1atXs3nzZkaMGGHUWMUDpF+FuT0h8xoE1YW+v4GDk6WjsioFLSA5edICIuybOeshkLrI3rzVuTpVAzy4lp7D+OWHCyWaxVauMfT+UbnZtv9X2Pyp8QIVwooVOwHp3r07kyZNIi8vD1CmsIuNjeXtt9+mV69eRg1u+/btPPnkkzz22GNUqFCB3r1706lTJ3bv3g0od5xmzJjBe++9x5NPPkndunX59ddfuXz5MitWrADg+PHjrF27ljlz5tCsWTNatWrFl19+ycKFC7l8+bJR4xX3YFjl/Dz4VoDBssp5SdxaB0RaQIR9M2c9BFIX2RsXRw2f96uPg1rFX0fiWXHwISc2qNENuk5THm+cDAfnP3yQQli5Ik3De7vPPvuM3r17ExAQQFZWFm3btiU+Pp7IyEg++ugjowbXokULZs+ezalTp6hWrRrR0dFs3bqV6dOnA3Du3Dni4+Pp0OHW9K3e3t40a9aMHTt20L9/f3bs2IGPjw+NGzc27NOhQwfUajW7du3iqaeeuqPcnJwccnJyDD+npaUBoNVqDRVeaVAQS2mK6Q75uWgWDUJ9JRq9mz/a/ovB2Rf+E3upPocHMNc5OKiUu3CZuab5O5TfhflptdInvCTMWQ+BdddF1vaeKApznFP1ADdGtavMjA2n+WDlURqFeRPs7fLgF95Lg2dQ34hFs2Mm+lWjyXcti77SI4an5fdU+tna+YBlz6nYCYi3tzdRUVFs3bqVQ4cOkZ6eTsOGDQt98BrLO++8Q2pqKjVq1ECj0ZCfn89HH33EoEGDAAx9fQMDAwu9LjAw0PBcfHw8AQEBhZ53cHDAz8/vnn2Fp06dysSJE+/YvmHDBvz9/R/6vIwtKirK0iHcnV5HowuzKHdjJ1q1M9vCRpG88wRw4o5dS+05FIOpz+HkVRWg4dLleP7880+TlSO/C/O5du2apUOwSuash8A26iJreU8Uh6nPqbweKnhoOJ+uZdjsf3k5Qof6YeZM0TekoW8kYTd2oF80mK1Vx5PqFl5oF/k9lX62dj6ARSbvKHYCcvHiRcLCwmjVqhWtWrUyRUwGixcvZt68ecyfP59atWpx8OBBXnvtNUJCQhg6dKjJyh03bhxjxowx/BwXF0dERATt27cnNDTUZOUWV15eHlFRUXTs2BFHR0dLh1OYXo/67/fQ3NiJXu0A/ebSolK7O3Yr1edQROY6h/xDV1hw5jBevmXo1q2J0Y8vvwvzkzUrSsac9RBYd11kbe+JojDnOdVpnkH3r3cQkwrX/WoyNDL8wS+6H21HdAv74nhhG4/EfYX2mXXgXU5+T1bA1s4Hbp1TmzZtzF52sROQChUq0KpVKwYPHkzv3r3x9fU1RVwAvPXWW7zzzjv0798fgDp16nDhwgWmTp3K0KFDCQoKAiAhIYHg4GDD6xISEqhfvz4AQUFBXL16tdBxtVotSUlJhtf/l7OzM87OzoafCwY7Ojg4lMo/OkdHx9IX17YvYPd3AKh6fItD9U733b1UnkMxmfoc3JyVQfu5+XqTliO/C/NxcCj2R7DAvPUQ2EZdZC3vieIwxzlVDfLh3W41eX/lUT5ZH8MjNQKpEuBZ8gM6OkL/+fBjF1SJx3Fc1B+eWwuOHjeflt9TaWdr5wNY5HyKPQh97969NG3alEmTJhEcHEyPHj1YunRpoX6qxpKZmYlaXThEjUaDTqfMAlSxYkWCgoLYsGGD4fnU1FR27dpFZGQkAJGRkSQnJ7Nv3z7DPv/88w86nY5mzZoZPWYBRC+EqA+Ux50mQ11Z5dwYXBwLpuGVWbCEfTNnPQRSF9m7wc3DaVOtLDlaHa8viiYv/yE/g119YPBS8AyGxBOwcDBoTfO3K0RpVewEpEGDBnzyySfExsby119/UbZsWUaMGEFgYCDPPfecUYN74okn+Oijj1izZg3nz59n+fLlTJ8+3TBYT6VS8dprrzF58mRWrVrF4cOHGTJkCCEhIfTo0QOAmjVr0qVLF4YPH87u3bvZtm0bo0aNon///oSEhBg1XgHE/A0rRyqPI0dBi9GWjceGODvcnIZXZsESds6c9RBIXWTvVCoV03rVxdvVkcNxKXz1z+mHP6h3OWWhQidPuLAVzR+jQC83l4T9KPEqcCqVinbt2vH999/z999/U7FiRX755RdjxsaXX35J7969efnll6lZsyZvvvkmL7zwAh9++KFhn7FjxzJ69GhGjBhBkyZNSE9PZ+3atYVWx503bx41atSgffv2dOvWjVatWjF79myjxiqAuH23Vjmv0wc6fvjg14gic3YsmIZXKikhwDz1EEhdJCDI24UPe9QG4KuNpzl4MdkIB60N/X4FtQPqY8uJuLzk4Y8phJUocQfkS5cuMX/+fObPn8+RI0eIjIzk66+/NmZseHp6MmPGDGbMmHHPfVQqFZMmTWLSpEn33MfPz4/582XebZO6fgbm9YG8DKjUDp78BtSyyrkxudxsAZEuWEIozFEPgdRFQtG9XghRxxL4I/oyYxYdZM0rrXF10jzcQSs/Ct2/ghUvUvXqGvL3/gCRLxonYCFKsWInIN999x3z589n27Zt1KhRg0GDBrFy5UrCwx9yZghhvdIS4LenIPM6BNeDfrLKuSncagGRLljCvkk9JCzlwydrsfvcdc5ey+DjtSf4X/daD3/Q+gPIvxGLZtMU1OvHgW8Y1Hjs4Y8rRClW7FvUkydPplmzZuzbt48jR44wbtw4+dC3Z9mpMK8XJF8A34pKn1bnh5ghRNyTi2PBGBBpARH2TeohYSk+bk5M610PgJ+3n2dLTKJRjqtr+TrnyzyCSq+DpcPg4h6jHFeI0qrYLSCxsbGoVA+zEo+wGdocWDQI4g+De1l4+nfwCHjw60SJODso9wtytTp0Oj3qh1oRSwjrJfWQsKS21crydPNwftt5gbeWHGLda23wdnvIaUxVKg6FDaW8jwPqM3/Dgn4wLArKVDZO0EKUMsVuAVGpVGzZsoXBgwcTGRlpWEjrt99+Y+vWrUYPUJRSOh0sfxHObQYnDxi0BPwqWToqm1bQAgLSCiLsm9RDwtLGdatBRX934lOzmbDqiFGOqVdpyO85B4LrK12a5/aCjGtGObYQpU2xE5Bly5bRuXNnXF1dOXDggGHe9ZSUFKZMmWL0AEUppNfDunfh6O+gdoC+v0JIA0tHZfMKWkBAaQURwl5JPSQszc3Jgc/61kOtghUHL7Pm0BXjHLjghp5PONw4B/P7QW6mcY4tRClSojEgs2bN4vvvvy+0cmLLli3Zv3+/UYMTpdS2L2DXt8rjHt9ClfaWjcdOOGrUaG52u8qWgejCjkk9JEqDhuV9GdmuCgDjVxzmamq2cQ7sEQCDl4GrL8TthWXPg04+84VtKXYCcvLkSdq0aXPHdm9vb5KTk40RkyjNDi6Avycojzt9JKucm1lBK0iOTMUr7JjUQ6K0GP1oVWqFeJGcmcfYZYfQ6/XGObB/VRiwEDTOcHIN/DVW6X0ghI0odgISFBTE6dN3rgK6detWKlWSMQA2LSbqP6ucj7JsPHbIkIBIC4iwY1IPidLCyUHNjH71cXJQ8+/JRObvjjXewcs3h17fAyrYM0fpfSCEjSh2AjJ8+HBeffVVdu3ahUql4vLly8ybN48333yTl156yRQxitLg0s1VzvX5UKevrHJuIQUD0WUxQmHPpB4SpUnVQE/Gdq4OwOTVxzl/LcN4B494EjrfHNf09wQ4vNR4xxbCgoo9De8777yDTqejffv2ZGZm0qZNG5ydnXnzzTcZPXq0KWIUlnbtNMzvA3mZyqqtT34tq5xbiLSACCH1kCh9nmtZkb+PJ7DzbBJjFh9k8QuROGiMVE9GvgwpF2HnN8rskx6BULG1cY4thIWUaBre8ePHk5SUxJEjR9i5cyeJiYlMmDCBy5cvmyJGYUlp8TD35irnIQ2gr6xybknODtICIoTUQ6K0UatVfNqnHp7ODuyPTea7zWeNW0Cnj5TWEF0eLBwEV48b9/hCmFmJ03MnJyciIiJo2rQpHh4eHD16lLCwMGPGJiwtOwXm9obkWGWNj4FLwNnD0lHZNRdHaQERooDUQ6I0KefrxoTutQCY8fcpjl5OMd7B1Wp4ajaENYecm3VzqpGm/hXCAqQfjbg7bY5ylyXhMLgHwODfwaOspaOyewUtILIQoRBClD69GobSKSKQvHw9ry86SHaeEW8WObrAgAVQpiqkXoJ5fSA71XjHF8KMJAERd9LpYPkLcH7LbaucV7R0VAJwvtkCYtRKTQghhFGoVCqm9qyDv4cTpxLSmR51yrgFuPnB4KXKjcGEw7D4adDmGrcMIcxAEhBRmF4Pa9+Bo8tB7Qj95kJIfUtHJW6SFhAhhCjdyng483896wLw/Zaz7Dx73bgF+FaAgYvA0R3O/gt/vCJrhAirU+RZsA4dOnTf50+ePPnQwYhSYOvnsPs75fFTs6ByO8vGIwpxkRYQYcekHhLWokNEIP0ah7Fo70XeWBzN2tda4+niaLwCQhtCn59hQX+IXgDeYfDoeOMdXwgTK3ICUr9+fVQq1V1X+SzYrlKpjBqcMLMD82DDROVx56lQp7dl4xF3kBYQYc+kHhLW5L3Ha7LtzDUu3cjiw9XHmNa7nnELqNYJHv9caQHZPA28Q6HRM8YtQwgTKXICcu7cOVPGISzt1HpYdXP+/JavKvOOi1JHWkCEPZN6SFgTTxdHpvetT7/ZO1i89xIdagbSqVaQcQtpNBRSLikJyOox4BmiJCZClHJFTkDCw8NNGYewpEt7YclQZZXzegOgw0RLRyTuQVpAhD2TekhYm6YV/RjRuhLfbT7LuN8P0zDcF38PZ+MW0u5dJQmJng9LnoFn1yjrdglRiskgdHt3LUaZyi8vE6p0gO5fgnRhKLUKZsHKkYUIhRDCKrzesRrVAz25npHLuN8P37UL4UNRqeCJL6BSO8jLgHl94cZ545YhhJFJAmLPUq/Abz0hKwlCGkKfX0BjxEFywuhcClZCl4UIhRDCKrg4avi8X30cNSqijiWwdN8l4xfi4AR9f4XAOpBxVVmoMDPJ+OUIYSSSgNir7BSY1xtSYsGvsrLWh6xyXupJC4gQQlifiBAvXu9YDYCJfxzjYlKm8Qtx8YJBi8GrHFyPgQUDIC/b+OUIYQSSgNijvGxYMBASjoBHIDz9O7j7WzoqUQTODjcTEGkBEUIIq/JCm8o0DvclPUfLm0ui0elMsHaHV4iyUKGzN1zcCb8PVxYXFqKUkQTE3ujyYfkIuLAVnDxh0FJlUSNhFVwcb3bBkhYQIYSwKhq1is/61sPNScOuc0n8uM1Es7oF1IT+80DjBMdXwXpZH0SUPkWeBet2S5cuZfHixcTGxpKbm1vouf379xslMGECej389TYcW6l8MPWfB8F1LR2VKAZpARFCIfWQsEbhZdx577EI3l1+mGnrTtK6almqB3kav6CKraHHt7BsGOz8BrzLQeRI45cjRAkVuwVk5syZPPvsswQGBnLgwAGaNm1KmTJlOHv2LF27djVFjMJYtnwGe74HVPDUd1CpraUjEsVU0AIiY0CEPZN6SFizAU3DeLRGALlaHWMWHyTXVNOq1+l9a1r9dePh6ArTlCNECRQ7Afnmm2+YPXs2X375JU5OTowdO5aoqCheeeUVUlJSTBGjMIb9v8E/HyqPu34MtXtaNh5RItICIoTUQ8K6qVQq/q9XHXzdHDl6OZWZG2JMV1jLV6HJcEAPv4+ACztMV5YQxVDsBCQ2NpYWLVoA4OrqSlpaGgBPP/00CxYsMG50wjhOroU/XlUet3odmr1g2XhEiRUsRChjQIQ9k3pIWLsATxc+eqoOAN/8e5oDscmmKUilUm46Vn8M8nNgQX9IPGWasoQohmInIEFBQSQlKXNLly9fnp07dwJw7tw54y+uIx7exd3Kyqj6fKg3ENpPsHRE4iG4OEoLiBBSDwlb0K1OME81CEWnh7eWHSHHVB/rag30mgOhjSE7Geb1grQEExUmRNEUOwF59NFHWbVqFQDPPvssr7/+Oh07dqRfv3489dRTRg9QPITEUzC/L2izoGon6D5TVjm3ctICIoTUQ8J2/K97LYK9XbiQlMnKCyacmNTJDQYuAr9KkBwL8/tATrrpyhPiAYo9C9bs2bPR3ZxTeuTIkZQpU4bt27fTvXt3XnhBuvaUGqmXYW5PyLoBoY2gz8+yyrkNcJYWECGkHhI2w9vVkU/71GPQnF1sS1CzOeYa7SOCTVOYu78y9f4PHeFKtNI7YsBC0JRoQlQhHkqx/+rUajVq9a0svX///vTv39+oQYmHlJUMc3tDykUoUwUGLgEnd0tHJYzARVpAhJB6SNiUllX8GdK8PL/ujGXc8qOsr1AGHzcn0xRWpjIMXAw/Pw6no2D1a9D9S+kdIcyuRO19W7ZsYfDgwURGRhIXFwfAb7/9xtatW40anCiBvGxYOBCuHgWPIBj8O7iXsXRUwkhubwGRvu7Cnkk9JGzJmx2rEuCi52paDu+tOGLawso1ht4/gkoNB36DzZ+Ytjwh7qLYCciyZcvo3Lkzrq6uHDhwgJycHABSUlKYMmWK0QMUxaDLh9+fhwvbwNkLBi8F33BLRyWMqGAaXp0etDpJQIR9knpI2BpXJw2Dq+ajUatYfegKKw/GmbbAGt2g6zTl8caP4OB805YnxH8UOwGZPHkys2bN4vvvv8fR8daYgpYtW8rqs5ak18NfY+H4HzdXOZ8PQXUsHZUwsoKFCAGy82QciLBPUg8JWxTuASPbVgLg/RVHuJKSZdoCmw6Hlq8pj1eNhjP/mLY8IW5T7ATk5MmTtGnT5o7t3t7eJCcnGyMmURKbP4U9cwAV9JwNFVtbOiJhAk6aW2/ZHFOtnitEKSf1kLBVL7atSL1y3qRmaxm79JDpu9q2nwC1e4NOC4uGQPxh05YnxE0lWgfk9OnTd2zfunUrlSpVMkpQonhUB36DjZOVH7pOg1oyDaWtUqtVOBlWQ5cERNgnqYeErXLUqPmsb32cHdRsibnGbzsvmLZAtRp6fAMVWkNuGszrA8kXTVumEJQgARk+fDivvvoqu3btQqVScfnyZebNm8ebb77JSy+9ZIoYxX0EphxA89cbyg+t34BmIywbkDC5gnEg0gVL2Cuph4QtqxLgwbiuNQCY8udxziSaeL0OB2foNxfK1oS0K0oSkpVs2jKF3Sv2NLzvvPMOOp2O9u3bk5mZSZs2bXB2dubNN99k9OjRpohR3IPq0h4an/salV4H9QfDo+9bOiRhBi6OGtKytZKACLsl9ZCwdUMiK/D38atsPX2NMYujWfZiJA4aEy5U6OoDg5Yoa4QkHodFg2HwMiU5EcIEiv3XrFKpGD9+PElJSRw5coSdO3eSmJjIhx9+aIr4xL0knkSzeCAO+lx0lTvAEzNkHm87UdACkitdsISdknpI2Dq1WsUnferi6eJA9MVkvvn3jOkL9QlTkhAnTzi/BVa8DDqpZ4RplDiddnJyIiIigsDAQGJjYw2r0gozSImD33qiyrpBkltl8nv+IKuc25GCmbBkMUJh76QeErYs2NuVD5+sDcDMDTEcvpRi+kKD6kC/X0HtAEeWwoaJpi9T2KUiJyA//vgj06dPL7RtxIgRVKpUiTp16lC7dm0uXpSBSyaXdQPm9YbUS+jLVGFX5TGyyrmdcXa4tRihEPZE6iFhb56sH8JjdYLR6vS8tuiAebreVn5UWR0dYNsM2P296csUdqfICcjs2bPx9fU1/Lx27Vp++uknfv31V/bs2YOPjw8TJ0qmbFJ5WbBgIFw9Bh5BaAcsIdfB09JRCTNzllmwhJ2SekjYG5VKxeQetSnr6cyZxAymrT1pnoLrD4R27ymP/xoLJ9aYp1xhN4qcgMTExNC4cWPDzytXruTJJ59k0KBBNGzYkClTprBhwwaTBClQVjlf9jzEbgdnb2VwmHeYpaMSFnCrC5a0gAj7IvWQsEe+7k5M610XgB+3nWP76WvmKbjNm9BwCOh1sHQYXNprnnKFXShyApKVlYWXl5fh5+3btxdaCKpSpUrEx8cbNzqh0OthzRtwYjVonGHAfAiqbemohIVIC4iwV1IPCXvVrnoAA5uVB+DNJdGkZOWZvlCVCh77HKp2Am0WzO8L180wGF7YhSInIOHh4ezbtw+Aa9eucfToUVq2bGl4Pj4+Hm9vb+NHKGDTNNj3E6CCXt9DhVaWjkhYkLOD0gKSIy0gws5IPSTs2fhuNQkv48bllGwmrjpqnkI1DtD7JwiuD5nXYW4vyDBTC4ywaUVOQIYOHcrIkSP58MMP6dOnDzVq1KBRo0aG57dv307t2nJX3uj2/gT/TlEed/sEIp60bDzC4lwcpQVE2Ceph4Q9c3d2YHrfeqhV8PuBONYeuWKegp09lOl5fcrDjXMwvx/kZpqnbGGzipyAjB07luHDh/P777/j4uLCkiVLCj2/bds2BgwYYPQAK1SogEqluuPfyJEjAcjOzmbkyJGUKVMGDw8PevXqRUJCQqFjxMbG8thjj+Hm5kZAQABvvfUWWq3W6LEa3Yk1sGaM8rjNW9B0uGXjEaWCoQVEEhBhZ6QeEvauUbgfL7atDMC43w9zNS3bPAV7BMDg38HVF+L2KmNSddIKL0quyCuhq9VqJk2axKRJk+76/H8rAmPZs2cP+fm3/siPHDlCx44d6dOnDwCvv/46a9asYcmSJXh7ezNq1Ch69uzJtm3bAMjPz+exxx4jKCiI7du3c+XKFYYMGYKjoyNTpkwxScxGEbsTlj6nDP5q8DS0G2/piEQpUdACIoPQhb2RekgIeK1DNTaeTOT4lVTGLTvMnKGNUZljIWL/qjBgIfzSHU6uUWbH6vapLIIsSqTECxGaS9myZQkKCjL8W716NZUrV6Zt27akpKTwww8/MH36dB599FEaNWrETz/9xPbt29m5cycA69ev59ixY8ydO5f69evTtWtXPvzwQ77++mtyc3MtfHb3cPW4MthLmw3VusDjM+QNLgycHaUFRAhzsst6SJRaTg5qZvSrj5NGzYYTV1m0x4xr35RvroxFRQV75sC2L8xXtrAppT4BuV1ubi5z587lueeeQ6VSsW/fPvLy8ujQoYNhnxo1alC+fHl27NgBwI4dO6hTpw6BgYGGfTp37kxqaipHj5ppEFdxpFxSBnllp0C5psrgL02RG6qEHXBxkBYQISzFLuohUepVD/Lkzc7VAPhw9TFir5txTEbEk9D5Zsvd3xPg8FLzlS1shlV9s12xYgXJyck888wzgDLjiZOTEz4+PoX2CwwMNEzFGB8fX+hDv+D5gufuJicnh5ycHMPPaWlpAGi1WvLyTDj1XVYyDr/1RJUah75MVbR95oLKEe5RZkEsJo3JxOQciu9m/kFWrnH/HuV3YX4yBsD6mKseAuPURdb2nigKOSfFkGZhrD8az94LyYxZfIC5zzVBozZTb4nGw1HfuIBm9yz0y18k37UM+vDCM3Ta2u/J1s4HLHtOVpWA/PDDD3Tt2pWQkBCTljN16tS7rqa7YcMG/P39TVKmWpdLi9PTKJNxiixHX7YEvUTWvzuL9NqoqCiTxGROcg5Fd/ayCtBw9sJF/vzzgtGPL78L87l2TaaztDbmqofAuHWRtbwnikPOCbr5weGLGvZeSGbsD2tpH6o3UWR3oW9OY599hCbvQb9gIFuqvkeaa7k7drO135OtnQ/A5s2bzV5miROQ3Nxczp07R+XKlXFwMH0ec+HCBf7++29+//13w7agoCByc3NJTk4udPcpISGBoKAgwz67d+8udKyC2UkK9vmvcePGMWbMGMPPcXFxRERE0L59e0JDQ411SrfotGiWPYs64xR6Zy8chqykXUDEA1+Wl5dHVFQUHTt2xNHR0fhxmYGcQ/Hd2H2RFReOUyYgiG7d6hvtuPK7ML+4uDhLh2DVbLkeAuPURdb2nigKOafCXMIv8e6KY/wV58DwJ5pTI8jTRFHehbYDuvm9cby4k3aXv0b7zFrwDAZs7/dka+cDt87p9gVdzaXYn9iZmZmMHj2aX375BYBTp05RqVIlRo8eTWhoKO+8847RgwT46aefCAgI4LHHHjNsa9SoEY6OjmzYsIFevXoBcPLkSWJjY4mMjAQgMjKSjz76iKtXrxIQEAAo2auXlxcREXf/ku/s7Iyzs7Ph59TUVAAcHByM/0en18PqN+HUX6BxRjVgIY6h9Yp1CEdHR6t/M8g5FJ2bs1JGXr7eJOXJ78J8zPGl2RbZQz0Exq2LrOU9URxyTooBzSrwz8lr/H38Km8tO8LKUS0N07WbnKMjDFgAP3RCdT0Gx0UD4dk/wcXrtl1s6/dka+cDWOR8ij0Ifdy4cURHR/Pvv//i4uJi2N6hQwcWLVpk1OAK6HQ6fvrpJ4YOHVqowvb29mbYsGGMGTOGjRs3sm/fPp599lkiIyNp3rw5AJ06dSIiIoKnn36a6Oho1q1bx3vvvcfIkSMLfbBbzL//B/t+RlnlfA5UaPmgVwg753JzFqzsPJkFS9gnqYeEuEWlUjG1Z13KuDtxIj6Nz6NizBuAmx8MXgruAZBwGBYPgXzbGSchTKPYCciKFSv46quvaNWqVaF5p2vVqsWZM2eMGlyBv//+m9jYWJ577rk7nvv88895/PHH6dWrF23atCEoKKhQ87hGo2H16tVoNBoiIyMZPHgwQ4YMuec88ma190fY9H/K48c+hYjulo1HWAVnh4KV0GUWLGGfpB4SorCyns5M6VkHgO82n2HP+STzBuBbAQYtBkd3OLsRVr2i9PAQ4h6K3f6fmJhoaEK+XUZGhskWwunUqRP6e/whu7i48PXXX/P111/f8/Xh4eH8+eefJomtxI6vhjVvKI/bjIUmz1s2HmE1XGQdEGHnpB4S4k6dawXRu1E5lu67xBuLo/nz1dZ4OJuxm2dIA+jzMyzoD9HzUXuGAHXNV76wKsVuAWncuDFr1qwx/FzwYT9nzhxDf1fxABd23FrlvOEQaPeupSMSVsRZ1gERdk7qISHubsITEYT6uBKblMlHa46ZP4BqneDx6QBotn5K+Wv/mj8GYRWKnRpPmTKFrl27cuzYMbRaLV988QXHjh1j+/btbNq0yRQx2parx2FBP8jPgerd4LHPZZVzUSy3umBJC4iwT1IPCXF3ni6OfNqnHgPn7GTB7ot0qBlI+5qBD36hMTV6RllUefMn1Lv4M7rTnaBmV/PGIEq9YreAtGrVioMHD6LVaqlTpw7r168nICCAHTt20KhRI1PEaDuSL8JvPZVVzsOaQa8fZJVzUWwyCF3YO6mHhLi3yMplGNayIgBvLztMUkau+YNoNx5d3f6o0aH5fRhcPmD+GESpVqJvv5UrV+b77783diy2LTMJ5vaCtMtQtgYMWAhObpaOSlghGYQuhNRDQtzPm52rszkmkVMJ6YxffphvBjU02fiou1KpyO82nWvnDhOQdhTm9YXn/wbfcPPFIEq1YreAdOjQgZ9//tkwH7kogtxMZVDWtZPgGQKDlynT1glRAs4Fg9ClBUTYKamHhLg/F0cN0/vWx0Gt4q8j8aw4aIFFTzVO7Kn4CvqAWpBxVbkJm2nm2blEqVXsBKRWrVqMGzeOoKAg+vTpw8qVK8nLk/me7ylfqww4v7gLXLzh6d/Bu5yloxJWzOVmC0huvg6dTqY5FPZH6iEhHqx2qDevdagKwAcrj3I5OcvsMWg1rmj7LQSvULgeAwsGQF622eMQpU+xE5AvvviCuLg4VqxYgbu7O0OGDCEwMJARI0bI4L//0uthzevKKucOLjBgEQTUtHRUwsoVtICAkoQIYW+kHhKiaF5sW5kG5X1Iy9by5pJoy9y08gqGQUvB2Rsu7oTlI0AndZe9K3YCAqBWq+nUqRM///wzCQkJfPfdd+zevZtHH33U2PFZt41TYP+voFIrA87DZXpI8fAKxoCATMUr7JfUQ0I8mINGzfS+9XF11LD9zHV+2XHeMoEERkD/uaB2hGMrYf17lolDlBolSkAKxMfHM2vWLD7++GMOHTpEkyZNjBWX9TvyO2yepjx+bDrUfNyy8Qib4ahRo1ErgwllKl5h76QeEuL+Kvq78+5jSu+L//vrBKcS0iwUSBvo8a3yeOfXsOcHy8QhSoViJyCpqan89NNPdOzYkbCwML799lu6d+9OTEwMO3fuNEWM1unEzUWymgyHxs9aNhZhcxw1SgKSKwmIsENSDwlRPIObladttbLkaHW8NHcf6TlaywRStw+0n6A8jvoAUi9bJg5hccWehjcwMBBfX1/69evH1KlTady4sSnisn65Gcr/QXUsG4ewSZqb0ynmyyB0YYekHhKieFQqFdP71uOxmVs5k5jBuN8PM7N/ffNOzVug5Wtw8k+4tAfWvQt9fjZ/DMLiip2ArFq1ivbt26NWP1TvLduXm6787+Ru2TiETVLf7IKVr5cERNgfqYeEKL4yHs58PagB/b7byR/Rl2kc7svQFhXMH4harXRNn90Wji6HhkOgsozdsjfF/vTu2LEjarWaxMREtm7dytatW0lMTDRFbNatoAXEycOycQibVDAGRKbhFfZI6iEhSqZRuB/juinjQSavOcb+2BuWCSS4LjQdoTxe8yZocywTh7CYYicgmZmZPPfccwQHB9OmTRvatGlDSEgIw4YNIzMz0xQxWidDAiKrnQvjc5AWEGHHpB4SouSea1mBbnWCyMvXM2refpIyci0TSLt3wSMQks7A9pmWiUFYTLETkNdff51Nmzbxxx9/kJycTHJyMitXrmTTpk288cYbpojROhkSEOmCJYxPLWNAhB2TekiIklOpVHzcqy6V/N25nJLNa4sOWqYucfGGTh8pjzd/CjfOmz8GYTHFTkCWLVvGDz/8QNeuXfHy8sLLy4tu3brx/fffs3TpUlPEaJ0MY0CkC5YwvltdsCwciBAWIPWQEA/H08WRbwY3xMVRzeZTiczcEGOZQOr0hgqtQZsNf71jmRiERZSoC1ZgYOAd2wMCAqTp+3YaR+X/nHTLxiFskqEFRLpgCTsk9ZAQD69GkBdTnlJm6pz5Twz/nEgwfxAqFTz2Gagd4NRfcGG7+WMQFlHsBCQyMpIJEyaQnZ1t2JaVlcXEiROJjJSVvg2C6yn/X95v2TiETSqYOVEvCYiwQ1IPCWEcPRuW4+nm4ej18OrCg5y/lmH+IMpWhwZPK483TAKp1+xCsafh/eKLL+jcuTPlypWjXj3lS3Z0dDQuLi6sW7fO6AFardBGcPpviJMERBifIQGxbBhCWITUQ0IYz/uPR3DsSir7Ltzghd/28fvLLXB3LvbXw4fTdixEL4DYHRATBdU6mbd8YXbFbgGpXbs2MTExTJ06lfr161O/fn3+7//+j5iYGGrVqmWKGK1TSEPlf2kBESZQ0AVLbhQJeyT1kBDG4+Sg5ptBDSnr6czJhDTeXnbI/K3rXiHQdLjy+J9JMsDRDpQoxXVzc2P48OHGjsW2hN5MQBJPQk4aOHtaNh5hUwrWrpUuWMJeST0khPEEernw7aCG9J+9k9WHrlCvnA/D21QybxCtxsC+XyD+MBxbDrV7mbd8YVYlWkb25MmTjBo1ivbt29O+fXtGjRrFiRMnjB2bdfMIAO8wQA+XD1o6GmFjDC0gFo5DCEuRekgI42pcwY8JT0QAMPWv42w/fc28Abj5QYvRyuN/PoJ8rXnLF2ZVoml4a9euzb59+6hXrx716tVj//791KlTh2XLlpkiRusV0kD5P26fZeMQtudmE4ishC7skdRDQpjG4Obh9GpYDp0eRi04QFxylnkDaP4SuPkrixMenGfesoVZFbsL1tixYxk3bhyTJk0qtH3ChAmMHTuWXr2kycwgtBEcXyUJiDC6gi5Ykn8IeyT1kBCmoVKp+Oip2pxMSOVIXCovzd3H4hcicXHUmCcAZ09o/QasGwebPoa6/cDRxTxlC7MqdgvIlStXGDJkyB3bBw8ezJUrV4wSlM0oGAdy+YBl4xA251YXLMlAhP2RekgI03Fx1DBrcCN83Rw5dCmF91ccMe94w8bPgVc5SI2DvT+ar1xhVsVOQB555BG2bNlyx/atW7fSunVrowRlM4LrAypIuQjpVy0djbAhKsModIuGIYRFSD0khGmV83XjywENUatgyb5LzNsVa77CHV3gkbeVx1s+VSbyETanSF2wVq1aZXjcvXt33n77bfbt20fz5s0B2LlzJ0uWLGHixImmidJauXgpC+wknlDWA6nexdIRCRtR0AIiXbCEvZB6SAjzalXVn7FdavB/f51g4h9HqRnsRaNwX/MUXm8gbPsCrp+Gnd8q64QIm1KkBKRHjx53bPvmm2/45ptvCm0bOXIkL774olECsxkhDW8mIPskARFGJ12whL2QekgI83uhTSUOXUrmz8PxvDR3H6tfaUWApxnGZGgcoN14WPosbP8SmjyvzJIlbEaRumDpdLoi/cvPzzd1vNYnVBYkFMYnLSDC3kg9JIT5qVQqpvWuR9UAD66m5TBy3n5ytWZaJDCiBwTVgZxU2Pq5ecoUZlOidUDuJjk5ma+++spYh7MdoY2U/+P2ybLVwmgKxoDIQoRC3CL1kBDG5+HswHdPN8LT2YE952/w0Zpj5ilYrYZHP1Ae754NqZfNU64wi4dOQDZs2MDAgQMJDg5mwoQJxojJtgTWBo0TZN2AG+csHY2wEbcSEMvGIURpIPWQEKZVqawH0/vVB+CXHRdYtu+SeQqu2hHKR4I2GzZ/Yp4yhVmUKAG5ePEikyZNomLFinTq1AmVSsXy5cuJj483dnzWz8FJaUIEZSC6EEYg0/AKeyf1kBDm1TEikFfaVwXg3eWHORKXYvpCVSpof7MVZP+vkHTW9GUKsyhyApKXl8eSJUvo3Lkz1atX5+DBg3zyySeo1WrGjx9Ply5dcHR0NGWs1ivk5jgQSUCEkagKxoCYqSuuEKWB1ENCWNZr7avSrnpZcrQ6XvhtHzcyck1faHgLqNIRdFrYONX05QmzKHICEhoaypdffkmvXr2Ii4vj999/p3fv3qaMzXYUjAORgejCSGQZEGGPpB4SwrLUahUz+jUgvIwbcclZvLLwAPnmmA2l/fvK/4eXQMJR05cnTK7ICYhWq0WlUqFSqdBoNKaMyfYYEpCDkK+1aCjCNqhvZiA6GQQi7IjUQ0JYnrebI9893QhXRw1bYq7x6fqTpi80uB7UegrQwz+TTV+eMLkiJyCXL19mxIgRLFiwgKCgIHr16sXy5csNXUHEfZSpAs5eoM1S1gQR4iEVvO8k/xD2ROohIUqHGkFefNy7LgDf/nuGvw5fMX2h7caDSgMn/4SLu01fnjCpIicgLi4uDBo0iH/++YfDhw9Ts2ZNXnnlFbRaLR999BFRUVEy//q9qNUQUl95HLfPoqEI26A2fN+SDETYD6mHhCg9utcL4flWFQF4c0k0MQlppi3QvyrUH6g83jBJ7sBZuRLNglW5cmUmT57MhQsXWLNmDTk5OTz++OMEBgYaOz7bYRiILgmIeHgqZCFCYd+kHhLC8t7pWoPmlfzIyM3nhd/2kZqdZ9oC276tLG1wfguc3WjasoRJPdQ6IGq1mq5du7J06VIuXbrEu+++a6y4bI8MRBdGJOuACKGQekgIy3HQqPlqYEOCvV04ey2DNxZHozPlnTGfMGjyvPJYWkGsmtFWQi9btixjxowx1uFsT+jNFpCEY5CbadlYhNVTySB0Ie4g9ZAQ5ufv4cyswY1w0qiJOpbAN/+eNm2BrcaAoztcPgDH/zBtWcJkjJaAiAfwCgWPQNDnQ/xhS0cjrNythQiFEEIIy6oX5sOHPWoB8FnUKTaevGq6wjzKQuRI5fE/k0En476skSQg5qJS3RoHIt2wxEO61QVLUhAhhBCW169JeQY2K49eD68uOMCFJBP29mgxClx94dpJOLTIdOUIk5EExJxCZSC6MI6CQeiSfwghhCgtJjwRQYPyPqRmaxk1/yA5pmqccPGGVq8rjzdOBW2OiQoSplLsBGTSpElkZt6Z1WZlZTFp0iSjBGWzDAmItICIh2NoAZFOWMIOST0kROnk7KDh20GN8Pdw5kRCOgvPqE3XUt9kOHgEQUos7P/VNGUIkyl2AjJx4kTS09Pv2J6ZmcnEiRONEpTNKuiClXQGsm5YNhZh1QoWXtPpLByIEBYg9ZAQpVeQtwvfDGqIg1rF/utqft4Ra5qCnNyg7Vjl8aZpkJthmnKESRQ7AdHr9XdddTY6Oho/Pz+jBGWz3PzAV1m0h8sHLBuLsGpqQwuIEPZH6iEhSremFf0Y17U6AB+vO8XOs9dNU1CDp8G3AmRchV2zTFOGMIkiJyC+vr74+fmhUqmoVq0afn5+hn/e3t507NiRvn37mjJW21CwHoiMAxEPoeCrl0zDK+yJ1ENCWI+nm4XR2F9Hvk7PqPn7uZKSZfxCHJyg3Xjl8bYvpHeJFXEo6o4zZsxAr9fz3HPPMXHiRLy9vQ3POTk5UaFCBSIjI00SpE0JbQhHlso4EPFQVCppAhH2R+ohIayHSqWiXyUdGQ7eHI9P48W5+1n8QnOcHTTGLah2b9g6A64ehW0zocME4x5fmESRW0CGDh3KM888w8aNG3nppZcYOnSo4d+AAQNM9qEfFxfH4MGDKVOmDK6urtSpU4e9e/cantfr9XzwwQcEBwfj6upKhw4diImJKXSMpKQkBg0ahJeXFz4+PgwbNuyu/YfN4vYWELl7LUpILYPQhR2yVD0ENlgXCWEGThr4emA9vF0dib6YzP9WHTV+IWo1PPqe8njXLEhLMH4ZwuiKPQakbdu2aDQaTp06xdatW9m8eXOhf8Z048YNWrZsiaOjI3/99RfHjh3js88+w9fX17DPtGnTmDlzJrNmzWLXrl24u7vTuXNnsrOzDfsMGjSIo0ePEhUVxerVq9m8eTMjRowwaqxFFlQXVBpIT4DUy5aJQdiAm4PQJf8Qdsic9RDYaF0khJmE+boxc0ADVCpYsPsiC3abYFB69a5QrgnkZcKWT41/fGF0Re6CVWDnzp0MHDiQCxcu3DG1mkqlIj/feJM+f/zxx4SFhfHTTz8ZtlWsWNHwWK/XM2PGDN577z2efPJJAH799VcCAwNZsWIF/fv35/jx46xdu5Y9e/bQuHFjAL788ku6devGp59+SkhIiNHiLRInNwiIgITDyoKE3qHmLV/YBEMLiCQgwg6Zsx4CG62LhDCjttXK8man6nyy7iQTVh6lRpAnDcr7PviFRaVSQfsP4JcnYO9PykrpvhWMd3xhdMVOQF588UUaN27MmjVrCA4OvutMJMayatUqOnfuTJ8+fdi0aROhoaG8/PLLDB8+HIBz584RHx9Phw4dDK/x9vamWbNm7Nixg/79+7Njxw58fHwMH/gAHTp0QK1Ws2vXLp566qk7ys3JySEn59aiNmlpaQBotVry8vIe+rw0wfVRJxwm/+IedFW6lPg4BbEYIyZLkXMomYIvXXlG+psE+V1YglartXQIVsmc9RBYd11kbe+JopBzsg7/PafhLctzMPYGUcev8uLcfax4qTn+Hs7GK7BcJJqKj6A+9y+6f6aQ3/1r4x0b+/gdmVOxE5CYmBiWLl1KlSpVTBFPIWfPnuXbb79lzJgxvPvuu+zZs4dXXnkFJycnhg4dSnx8PACBgYGFXhcYGGh4Lj4+noCAgELPOzg44OfnZ9jnv6ZOnXrXueQ3bNiAv7//Q59X+HUH6gNJh6LYntXooY8XFRX10MewNDmH4klIUANqjhw5wp/XDhv12PK7MJ9r165ZOgSrZM56CGyjLrKW90RxyDlZh9vPqYMHHHLVkJCaw9Pf/svLNfPRFHswwL35OD5CW/5FdXgxW/Lqk+Zq/F4mtvg7MkXX1QcpdgLSrFkzTp8+bZYPfp1OR+PGjZkyZQoADRo04MiRI8yaNYuhQ4earNxx48YxZswYw89xcXFERETQvn17QkON8MecUB7m/IR/3kW6de0CqpK9+/Ly8oiKiqJjx444Ojo+fFwWIOdQMn+lRnMoKYGIWrXo1qy8UY4pvwvzi4uLs3QIVsmc9RBYd11kbe+JopBzsg73Oqd6kRn0+m4np1PzOaSuxPhuNYxarm7pXtQnV/OIfhv53X422nFt+XfUpk0bs5ddpATk0KFDhsejR4/mjTfeID4+njp16tzxS6hbt67RggsODiYiIqLQtpo1a7Js2TIAgoKCAEhISCA4ONiwT0JCAvXr1zfsc/Xq1ULH0Gq1JCUlGV7/X87Ozjg732oWTE1NBZS7VUb5owuuAw6uqHLScEy5AGWrPdThHB0drf7NIOdQPBq1krSq1Rqjlym/C/NxcCj2PSC7Zal6CGyjLrKW90RxyDlZh/+eU40QHz7rU58X5+7j5x2xNAj348n6RmypaP8+nFyD+uRq1FcP3Zp91Ehs9XdkbkWq/erXr49KpSo02O+5554zPC54ztiD/1q2bMnJkycLbTt16hTh4eGAMggwKCiIDRs2GD7kU1NT2bVrFy+99BIAkZGRJCcns2/fPho1Uv4I//nnH3Q6Hc2aNTNarMWicYDgenBxpzIQ/SETEGF/DMuAyCh0YScsVQ+BDddFQlhIl9pBjGxXma83nuHtZYeoGuBJRIiXcQ4eUAPq9YfoBbDhQxiywjjHFUZVpATk3Llzpo7jrl5//XVatGjBlClT6Nu3L7t372b27NnMnj0bUCqc1157jcmTJ1O1alUqVqzI+++/T0hICD169ACUu1RdunRh+PDhzJo1i7y8PEaNGkX//v0tO+tIaCMlAYnbp7xRhCiGgkG3Mg2vsBeWqofAxusiISxkTMfqHI5LZfOpRF6Yu5c/RrXCx83JOAd/5B04vBTOboRzm6Gi+bsYifsrUgJScJfH3Jo0acLy5csZN24ckyZNomLFisyYMYNBgwYZ9hk7diwZGRmMGDGC5ORkWrVqxdq1a3FxcTHsM2/ePEaNGkX79u1Rq9X06tWLmTNnWuKUbgltqPwvK6KLElDLQujCzliqHgIbr4uEsBCNWsXM/vV54qutXEzK4tWFB/nxmSZo1EaY1c63AjR6BvZ8DxsmwbCoW10HRKlQ7A7Iq1atuut2lUqFi4sLVapUKTQ/+sN6/PHHefzxx+/5vEqlYtKkSUyaNOme+/j5+TF//nyjxWQUBQlI/CHQ5oKDkbJ+YRcKPkalC5awR+auh8CG6yIhLMjHzYnvBjem57fb2HQqkc+jTvFm5+rGOXibt+DAXLi0B07+BTW6Gee4wiiKnYD06NHjjn64ULj/batWrVixYkWhVWLFf/hWBFdfyLoBCUduJSRCFEFBFyzJP4Q9knpICNsREeLFx73q8urCg3y18TR1ynnTudbdJ2YoFs9AaP4ibP0c/pkM1bqA2ohz/oqHUuzfRFRUFE2aNCEqKoqUlBRSUlKIioqiWbNmrF69ms2bN3P9+nXefPNNU8RrO1QqCLmZdFyWbliieApaknWSgQg7JPWQELblyfqhPNuyAgBvLI7m9NV04xy45avg7A1Xj8KRpcY5pjCKYreAvPrqq8yePZsWLVoYtrVv3x4XFxdGjBjB0aNHmTFjRqHZScQ9hDaEMxsg7gA0sXQwwpqobnbCkvRD2COph4SwPe92q8mxy6nsOpfEC7/tZeWoVng4P+RU5a6+0PIV+OdD2PgR1HoKNLY1ha61KnYLyJkzZ/DyunOqNC8vL86ePQtA1apVZYXfoiiYmzpun2XjEFZHLS0gwo5JPSSE7XHUqPlqYEOCvFw4k5jBm4ujjTPOsflL4F4WbpyH/b8+/PGEURQ7AWnUqBFvvfUWiYmJhm2JiYmMHTuWJk2U2/gxMTGEhYUZL0pbVdAFK/EE5KRZNhZhVW6tA2LZOISwBKmHhLBNZT2d+XZwQ5w0atYejeebf888/EGd3JUB6QCbpkFe1sMfUzy0YicgP/zwA+fOnaNcuXJUqVKFKlWqUK5cOc6fP8+cOXMASE9P57333jN6sDbHMxC8ygF6uBJt6WiEFTF0wZIMRNghqYeEsF0Nyvsy8claAHy6/iSbTiU+4BVF0OgZ8C4P6fGwe/bDH088tGJ3rqtevTrHjh1j/fr1nDp1yrCtY8eOqG/OLlCw8JIogtAGkHpJ6YZVoZWloxFWomAiD1mIUNgjqYeEsG0DmpYn+mIyC/dc5JUFB1g9uhVhfm4lP6CDs7I44cqXlVmxGj0DLt5Gi1cUX4lG96jVarp06UKXLl2MHY/9CW0Ex/+QBQlFMck0vMK+ST0khG2b+GQtjsenEX0xmRd+28eyl1rg6qQp+QHr9YdtX8C1k7D9K3h0vPGCFcVWpARk5syZjBgxAhcXlweu2vrKK68YJTC7IVPxihK4tRK6ZCDCPkg9JIR9cXbQ8O2ghjzx5VaOXUnl3eWHmd63nmEdrGJTa5SkY/EQ2PE1NB0BHmWNG7QosiIlIJ9//jmDBg3CxcWFzz///J77qVQq+eAvrpD6gAqSYyE9Ud4MokjUNz+ApQuWsBdSDwlhf0J8XPl6UEMGzdnF8gNx1CvnzTMtK5b8gDW7Q3B9uHIQtk6HLlONFaoopiIlIOfOnbvrY2EELt7gXxWunVJaQap1tnREwgoYbgBJHyxhJ6QeEsI+Na9Uhne71eTD1ceYvOY4ESHeNK3oV7KDqVTQ/gOY2xP2zIHmL4PP/7d33+FRlWkfx7+TRqgJhBI6SO+9CahURezYULCuAqK71n11regqllUsoLI2LGBHVwEVVKqAdGnSaygBpCaQPu8fdyaTkB4mU5jf57pyZTLnzMz9zMmcZ+6nHa2W5wslviZ9SkoKGzduJC0tzZPxBKes64FoGJYUjXpARFQPiQSL23o24PL2tUjLcHLX5BXsP5ZU8idr1Bfq94L0FJj7gueClGIpdgJy8uRJbr/9dsqVK0erVq3YtWsXAPfccw/PP/+8xwMMCrogoZSQ5oBIMFI9JBJcHA4HY69qQ/PYihxKSGbU5OUkp6WX9MmsFwRg1RQ4tNlzgUqRFTsBeeSRR/jjjz+YM2cOkZGRWff379+fzz//3KPBBY3sE9E1pEaKQD0gEsxUD4kEn3IRYUwc3olKkWGs3HWUp79fX/Inq9cNml4EznSY/azngpQiK3YC8u233zJ+/Hh69eqVYyWCVq1asXWrB65YGYxiW0NIOJz8C47u9HU0EgB0JXQJZqqHRIJT/ZjyvDa0Aw4HTP59F18s3V3yJ+v7OOCAdd/oYtA+UOwE5ODBg1SvXj3X/YmJiSVfGi3YhZWxJAQ0DEuKRMvwSjBTPSQSvPo0q879/ZsC8Nj/1vLH7qMle6LY1tB6iN3+5RnPBCdFVuwEpHPnzkyfPj3rb9fJ/t1336VHjx6eiyzYaCK6FIPrc6ceEAlGqodEgtvoPo0Z0LIGKWkZjPpkOYcSkkv2RH3+BY5Q2DILdi70bJBSoGJfCf25555j0KBBrF+/nrS0NF577TXWr1/PwoULmTt3bmnEGBxc80CUgEgRuFfhVQYiwUf1kEhwCwlx8PK17bhi/G9sO5TIPVNW8vHtXQkLLWa7ekwj6Dgclk+CX56GW3/Its69lKZi94D06tWLVatWkZaWRps2bZg5cybVq1dn0aJFdOrUqTRiDA6uHpB9qyBdS0pKwRyahC5BTPWQiFSKDGfi8E6Ujwhl0ba/eOHHDSV7ovP/D0LLwK5FsOVnzwYp+Sp2DwhAo0aNeOeddzwdS3Cr2gQiKkLKCTi0EWq08nVE4sc0CV2CneohEWlSoyL/uaYdoyav4J3522lbJ5pL29Uq3pNUqgVd74BF4+GXMdCoH4SU+DJ5UkRFfoePHz9epB8poZBQqNXebmsiuhTCNQk9QxmIBBHVQyJyukFtajLy/EYA/POr1WzYX4JzQK/7rRF4/xpY/42HI5S8FLkHJDo6usDVRZxOJw6Hg/T0El4YRqB2R9gx3+aBdLzJ19GIH3OgMaoSfFQPiUheHrqwGev2HmP+5kOM+Hg5393di6iy4UV/gvIxcO7dMGcszH4OWlwOoSUaJCRFVOR3d/bs2Vm3nU4nF198Me+++y61a9culcCCUtZEdPWASMHcQ7DUAyLBQ/WQiOQlNMTB69d34JI3FrDzr5Pc+9lK3ru5CyEhxWis6zEalvwX/toCf0xRQ3ApK3ICcv755+f4OzQ0lO7du3POOed4PKig5ZqIfmA9pCZBeGTB+0vQ0iR0CUaqh0QkP5XLRzBxeCeGvLWQ2RsP8tovm7lvQNOiP0GZijYUa+ajMOd5aHOtvoeVIs2y8SdRdaB8NchIs3GIIvnIWoZXFyIUEREBoHXtKJ67sg0Ar/2ymZ/XxxfvCbr8DSrVhuN7YNn7pRChuCgB8ScOR7YLEmoYluQvRBciFBERyWVIpzrc3KM+APd9vorthxKL/uDwSDj/n3Z7/n8g+UQpRChwhglIQZMBpYRc80D26oKEkj9H1ipYvo1DxNdUD4nI6R4d3JIuDSpzIjmNOz9aRmJyMa6v1v5GqNIITv4Fi98qvSCDXJHngFx11VU5/k5KSmLkyJGUL18+x/1Tp071TGTBSj0gUgQhmoQuQUj1kIgURURYCBNu7Mglry9g84EE/vnVasbf0KFoDRah4dDnX/D17bDwDRuWVa5K6QcdZIqcgERFReX4e9iwYR4PRoBaHez3X1vg1FEoG+3LaMRPOTQES4KQ6iERKarqFSN5a1gnrv/vIqav2UfbeVGMyLxeSKFaXQULXoX4NbBgHAx8plRjDUZFTkA++OCD0oxDXMrHQOUGcGQH7F0Jjfr4OiLxY5qELsFE9ZCIFEen+pV54tJWPP7tWl74cQOta0fRs3HVwh8YEgL9Hocp19rSvN3vgrJFeJwUmSah+yNdD0QKEaJleEVERAo1rFs9rulUhwwn3D1lBXFHThbtgU0GQt3ukJYE814s3SCDkBIQf+SaB7J3pW/jEL/lvhChb+MQERHxZw6Hg2euaE2b2lEcOZnKyE+Wk5SaXpQHQr8n7PaKj+DI9tINNMgoAfFHtdUDIgXTJHQREZGiiQwP5e3hnahSPoK1e47z6Ddri1Z/NugJjfpBRhqh814o/UCDiBIQf1SzHThC4MQ+OL7X19GIH3JkXopQ6YeIiEjhakeXZfzQDoQ44OsVcXyyeGfRHtjvcQAca7+m4qndpRhhcFEC4o8iykP1lnZbvSCSB/d1QJSCiIiIFMW5javy8KDmAIz5fj3Ldx4u/EG1OkDLy3HgpMW+r0o5wuChBMRfuZbj3aMLEkpuDk1CFxERKbY7ep/D4LY1SctwMvKTFRw4nlT4g/o8htMRQs1jK3HsWVb6QQYBJSD+KmsiuhIQyc11KSXNARERESk6h8PBi0Pa0rRGBQ6eSOauyStIScso+EHVmuJscz0AIbP/rRVgPEAJiL/Kmoi+EjIK+WBI0MmahO7bMERERAJO+TJhTBzemYqRYSzbeYR/T19f6GPSz3uIdEcYITsXwLY5pR/kWU4JiL+q3hLCIiH5GBze5utoxM+4r4SuFERERKS4GlYtz6vXtQfgo0U7+Wp5XMEPiKrLjqp97fYvT6sX5AwpAfFXoeG2GhZoIrrkEqLrgIiIiJyRfi1qcG//JgD865s1rN1zrMD9N9e4FGd4eRsev2GaN0I8aykB8WeuK6JrHoicLmsSujIQERGRkvp73yb0a16dlLQMRny8nMOJKfnumxweRUbXEfbHr/+GjCJc0FDypATEn7kmosdpxQXJyT0J3adhiIiIBLSQEAevXNeeBjHl2HP0FPd8uoK09Pzn3mZ0Hw2R0XBwA6z+3HuBnmWUgPgz10T0/WsgLf+MXIJPiJbhFRER8YiosuFMHN6ZchGh/LblL16auTH/nSOjoNe9dnvOWH0/KyElIP6syjn2j56eDAcKX6FBgofrQoRaB0tEROTMNYutyItXtwVg4txtTF+9L/+du46ACjXg6C5Y8aGXIjy7KAHxZw6HexiWJqJLNpqELiIi4lmXtK3FneedA8BDX/3BpvgTee8YUQ7Oe8huz30RUhK9FOHZQwmIv9NEdMmDQ5PQRUREPO6fFzbj3EYxnExJZ8THyzmelJr3jh1vhuj6kHgAfp/o3SDPAkpA/F1WD4gSEHHLmoTu0yhERETOLmGhIbwxtAO1o8uy/VAi93++ioy8JlyGRUCfR+32b6/CqSNejTPQ+XUC8tRTT+FwOHL8NG/ePGt7UlISo0ePJiYmhgoVKjBkyBDi4+NzPMeuXbsYPHgw5cqVo3r16jz00EOkpaV5uygl55qIfnADJCf4NhbxGyFZFyL0cSAiQUB1kUhwialQhreHdSIiLISf/zzA+Nlb8t6xzdVQrQUkHYOFb3g3yADn1wkIQKtWrdi3b1/Wz4IFC7K23XfffXz//fd8+eWXzJ07l71793LVVVdlbU9PT2fw4MGkpKSwcOFCPvzwQyZNmsQTTzzhi6KUTMVYqFQbnBmwb5WvoxE/4ZqEriFYIt4R9HWRSJBpUyeKZ69oDcC4nzcxe+PB3DuFhEK/x+324rfgRHzufSRPfp+AhIWFERsbm/VTtWpVAI4dO8Z7773HK6+8Qt++fenUqRMffPABCxcuZPHixQDMnDmT9evX88knn9C+fXsGDRrEM888w4QJE0hJCaBl01y9IBqGJZnUAyLiXaqLRILPNZ3rMqx7PZxOeOCrNRw8lcdOzS6G2p0h9STMf9nrMQaqMF8HUJjNmzdTq1YtIiMj6dGjB2PHjqVevXosX76c1NRU+vfvn7Vv8+bNqVevHosWLaJ79+4sWrSINm3aUKNGjax9LrzwQkaNGsW6devo0KFDnq+ZnJxMcnJy1t8nTtgqCGlpaaSm5jMZqRSFxLYn9M/vyYhbRnq213fF4ouYPEVlKJn0dLv6akZGhsdeV8fC+zQEJ3AEal0UaJ+JolCZAsPZUqZHLmzKuj3HWLn7GO9tDOWKxCSiyufcx3HBvwibfBXOZe+T1mUERNfzSazF5ctj5NcJSLdu3Zg0aRLNmjVj3759jBkzht69e7N27Vr2799PREQE0dHROR5To0YN9u/fD8D+/ftznPBd213b8jN27FjGjBmT6/5ffvklq9XLm6qeSKEncGrrb/w8Y0au7bNmzfJ6TJ6mMhTP6kMOIJSDhw4xI4//iTOhY+E9hw4d8nUIUgRnQ10UKJ+J4lCZAsPZUKYrq8PW/aHsO+XgjnfmcHOTjGzX4zI9Krai+ol17Pv0H6ysf4dvAi2hefPmef01/ToBGTRoUNbttm3b0q1bN+rXr88XX3xB2bJlS+11H3nkEe6///6sv/fs2UPLli3p168ftWvXLrXXzVdSL3j5BcqnHOLi87tCeat4UlNTmTVrFgMGDCA8PNz7cXmAylAyzjX7+XDzaqrExHDxxV088pw6Ft63Z88eX4cgRRDIdVGgfSaKQmUKDGdbmRq2OcjNH65g5V8hXNSlObf1bJBju2NPLEwaSN0jv1Hz6uehWjPfBFoMrmN03nnnef21/ToBOV10dDRNmzZly5YtDBgwgJSUFI4ePZqj5Sk+Pp7Y2FgAYmNjWbJkSY7ncK1M4tonL2XKlKFMmTJZfx8/fhywMcA++RCFx0BME/hrM+EH1kDTgTk3h4cH/IdbZSiesLDQzFsOj7+mjoX3hIUF1ClYMgViXRQon4niUJkCw9lSpu6NqnFl/Qy+3hHKizM306ZuZc5tlK0nskE3aH4Jjg3TCJ//Alz3se+CLSZfHB+/n4SeXUJCAlu3bqVmzZp06tSJ8PBwfvnll6ztGzduZNeuXfTo0QOAHj16sGbNGg4cOJC1z6xZs6hUqRItW7b0evxnxHU9EF2QUMg2Cd3HcYgEo6Cui0SCWO9YJ1e2r0l6hpO7p6xk79HTZqX3fQxwwJ/faeGgQvh1AvLggw8yd+5cduzYwcKFC7nyyisJDQ1l6NChREVFcfvtt3P//fcze/Zsli9fzq233kqPHj3o3r07AAMHDqRly5YMHz6cP/74g59++onHHnuM0aNH52hVCghZK2Et920c4heyLkSoZbBESp3qIhEBWwL/6cta0qpWJQ4npjDyk+Ukpaa7d6jeAtpdb7d/edo3QQYIv05A4uLiGDp0KM2aNePaa68lJiaGxYsXU61aNQDGjRvHJZdcwpAhQzjvvPOIjY1l6tSpWY8PDQ1l2rRphIaG0qNHD4YNG8ZNN93E008H4D9F1hXRl2vtVcGR2QOS18VZRcSzVBeJiEtkeChvD+tEdLlwVscd44n/rc3ZGHjBwxASDttmw/b5vgvUz/n1AOTPPvuswO2RkZFMmDCBCRMm5LtP/fr1Pb5KkE/UaA0hYXDyLzi6CyrX93VE4kOu1TfUAyJS+lQXiUh2dauU442hHbj5/SV8sSyOdnWjubFb5veyyg2g0y2w9B3rBbl9JrmWzBL/7gGRbMIjLQkBzQMR9xAsn0YhIiISnHo3qcZDFzYH4Knv1rF85xH3xvMehLCyELcENv3oowj9mxKQQJJ9GJYENV0JXURExLdGnn8Og1rHkpru5K7JyzlwIsk2VIyF7iPt9i/PQEaG74L0U0pAAknWRPSVvo1DfE5DsERERHzL4XDw0jXtaFy9AvHHk7l78kpS0zOTjXP/DmWi4MA6WPu1bwP1Q0pAAknWUrwrISO94H3lrKZleEVERHyvQpkwJg7vRMUyYSzZcZhnp/9pG8pVgZ732O3Zz0J6qu+C9ENKQAJJ1aYQXh5SE+HgRl9HI76U2QOSoR4QERERn2pUrQIvX9sOgEkLdzB1RZxt6DYKyleDI9thxUc+jND/KAEJJCGhUKuD3dY8kKDmmoSuYaUiIiK+N7BVLPf0bQzAI1PXsHbPMShTAXo/aDvMewlSTxXwDMFFCUigqZ2ZgGglrKCmIVgiIiL+5d7+TTm/aTWS0zIY+clyjiSmQOdbIaounNgHS97xdYh+QwlIoMlaCUsJSDDTJHQRERH/Ehri4PXrO1CvSjnijpzi75+tJD0kwi5OCLDgFUg65tsg/YQSkEDjSkDi10Jakm9jEZ/RMrwiIiL+J6pcOBOHdyIyPIT5mw/x8syN0PZ6m8d76ggsyv+CpcFECUigiaoL5apCRhqO+LW+jkZ8xH0hQmUgIiIi/qRFzUq8MKQtAG/O2cqPfx6EPo/axkUTIPGQD6PzD0pAAo3DkdUL4tir64EEK0dmD0iG8g8RERG/c3n72tzeqyEAD3zxB1ti+kLNdpCSAPNf8XF0vqcEJBBlJSCaBxKsNAdERETEvz0yqDndz6lCYko6d05ewYnej9uGpe/CsTjfBudjSkACUeYV0ZWABK+sIVjKP0RERPxSWGgI42/oSM2oSLYdTOSBZZXJqNcT0pNh7gu+Ds+nlIAEolqZCcjhrYSlJfo4GPGFkBAtwysiIuLvqlYow9vDOhERGsLM9fG8Gf2QbVg5GQ5t8W1wPqQEJBCVj4Ho+gBEn9rh21jEJ0J0JXQREZGA0K5uNM9c0QqAl5eeZE7N28CZDrOf9XFkvqMEJFBlzgOpnLjNx4GIb2gZXhERkUBxXZd6DO1aD6cT/rF3ILsyqsO6qbBvta9D8wklIIEqcx5I9EklIMFIPSAiIiKB5anLWtK+bjTHkjO4M/QpTjkj4Nd/+zosn1ACEqgy54FUVgISlBy6EKGIiEhAKRMWylvDOlK1QgQbTkXzcNqdODf9BLsW+zo0r1MCEqhqtsPpCKFs6hE4sc/X0YiXuXpAREREJHDUjCrLhBs6Ehri4H/p5/J++kXw85iga1FUAhKoylSAmCYAOA786eNgxNscuC5EGFwnLBERkUDX7ZwYHr24BQBj025g+Y6DsGqKj6PyLiUgAcxZqZbdSDzo20DE65yZC/CGONQVIiIiEmhu7dmAS9rWJI0wRqf8nb+mPwNHd/k6LK9RAhLIylUFwHFSCUiwyVDHh4iISMByOBw8P6Qt51Qtx35iuO/kTWR8cxdkZPg6NK9QAhLAnOUtASHxkG8DEa9zZg69CtEnWEREJCBVKBPGm8M6ERnmYF5GO8ZvrQpLJvo6LK/Q15dAVq4aAI6TSkCCjasHxDUXRERERAJP89hKPHNFGwDGpQ3htx8/h4ObfBxV6VMCEsDUAxLMLAPRFBAREZHAdk3nulzbuQ5OQvhH0p3Ef3kfpKf6OqxSpQQkkJVzJSCaAxJsXItfaRK6iIhI4Hv68tY0rx7JIaK4Z3cf0ua+4uuQSpUSkECWNQldPSDBxj0ES0RERAJdZHgobw7vRoUwJ0ucLXj51+2we6mvwyo1SkACmDOykt1IPu7bQMTrXJPQ1QEiIiJydjinWgWev6YjAG+lXcrsKS9C0jEfR1U6lIAEsjKuBCQhaJZtE5OhIVgiIiJnnUva1WJ4l5oA3HdkCHunPu7jiEqHEpBAltkD4sAJKSd8HIx4U9YyvEpAREREziqPXd6O1tXCOEpF7l7TkNSVn/k6JI9TAhLIwiJJd4TZ7SQNwwomWXNAlH+IiIicVcqEhTLhll5UDEtnhbMpL32zEP7a6uuwPEoJSIBLCy1rN87SMYKStwz1gIiIiJy16seU58VrOwHw35QL+fmj5yAtxcdReY4SkACXGlrObmgielDJ0JXQRUREzmqD2tbmls624ukD8QOJ++E/Po7Ic/T1JcBlJSAaghVUnLoSuoiIyFnvX1d0oV1VJ8eowN0Ly5OyebavQ/IIJSABLi0kcwiWekCCSnqGqwdECYiIiMjZKiIshPG39aVSaCqrnI15YcoPkPiXr8M6Y0pAApy7B0RzQIKJew6IjwMRERGRUlW3Sjlevq4DAO+dOp+fPn7ePRQiQCkBCXCpoeoBCUa6DoiIiEjwGNC2Pnd0rAjAgzu6sHvuJN8GdIaUgAS4NM0BCUpO9YCIiIgElX8O6UXHykmcoDyjZyaSvGedr0MqMSUgAU49IMHJfR0QZSAiIiLBIDw0hPF3XER0aBKrMxoy9oMvIPWUr8MqESUgAU6rYAUnzQEREREJPrWqlGfcNW0AmJTQlRlT3vBxRCWjBCTApWkSelByJSBahldERCS49GnflJFtQwH4vz8bsnPpDz6OqPiUgAQ4DcEKTq7FL0LVBSIiIhJ0HrxuIF2ijnGCctz17U6Sjuz1dUjFogQkwGkIVnDK6gFR/iEiIhJ0wkJDeGPEYKqEnGRdel3+/d9PICPD12EVmRKQAJemHpCgpGV4RUREgltslSjGXdkYBxl8cqQV33/1vq9DKjIlIAEuNUQ9IMFIk9BFRETk/C4dGN0iCYCHV0Szbe0SH0dUNEpAAlzWEKyUE5CR7ttgxGvc1wFRBiIiIhLM7r3xKrpVOEAiZbnrs9UkJRz1dUiFUgIS4LKGYAEkn/BdIOJVug6IiIiIAISFhfLGnRdT1XGCDWk1eWrip74OqVBhvg4gEGRkTurZt2+fjyPJKS0tjQOHj7E7MQxHegps2whRtX0dVrGkpaVx6NAh9uzZQ1hYYP47+qIMfx08SEbySZISjhEXF+eR59Sx8D7XOSUjgCYOiu+UpC4KtM9EUahMgeFsK1MglOfRbhHcOzeBKXFVaTLpfS7sP7DA/V1l8kVd5HC6xnJIvpYuXUrXrl19HYaInKWWLFlCly5dfB2G+DnVRSJSmrxZFykBKYK0tDRWrlxJjRo1CAnxo1FrySdgQlcYvQTKVPR1NCWjMviPs6EcAVaGjIwM4uPj6dChg9+2qIn/KFFdFGCfiSJRmQLD2Vams608kFWmjFGLiT960qt1kWq8IggLC/PP1smk41ApBGrXhshKvo6mZFQG/3E2lCMAy1CvXj1fhyABokR1UQB+JgqlMgWGs61MZ1t5wF2munWp18S7ZfKj5nwRERERETnbKQERERERERGvUQISyMLKwPkP2+9ApTL4j7OhHGdDGUQ86Wz8TKhMgeFsK9PZVh7waZk0CV1ERERERLxGPSAiIiIiIuI1SkBERERERMRrlICIiIiIiIjX6Dog/mLHb7Dwddi7ChL2w3WTocUl+e+//jtY9h7sXwNpKVC9OVzwMDTu795n9liY+3zOx8U0gXuWlUoRil2G7fPhwzy2P7AJKtZw/73kHfjtdUiIh9jWMOglqNPJ4+FnKW45vhkFf0zJfX+15jD6d7vtzWMx/2X483s4tBnCIqFuNxgwBqo2Kfhx676BX5+Fo7sgphH0HwNNB7q3O50w+zlY8SEkHbPnvWSc7VsaSlKO5ZPgj8/gwHr7u2Z76Pdkzv+XvI5Xo34wfKqnSyBSckvfhaXv2+cR7Bx//v9BkwH29/f/gG1z4MR+iChvn4/+Y6BaU9u+cjL87668n/vBLVChWt7bTh6GH/4JG38ERwi0vBQuegHKVAjcMo1rA8d25byv35PQ+/4zLtIZlwlgz3L4+SnY+wc4gNqdYMDTENsm/9dNTYKZj8Lar+07QOO+MPgVqFA9cMv0wWDYuSDnfZ1uhUtf9Y8ybZtjdeSB9RBeDtoPhb5PQGgBX6X9/TiVpEweOk6ahO4vNs+CXYuhVnv4fFjhX3p/eBgqxkLD3hAZDSs/gYVvwB2/QM12ts/ssbD+f3DT/9yPCwmD8jH+UQZXAnL38pxXFS1fDVxX+V37NXwz0r7o1u4Mi9+E9d/aY/KrbLxdjqRjdpJxyUiDt3tC1xHQ5xG7z5vH4uOroPUQqN3RYvnlaTjwpyVDEeXzfsyu3+GDQdD/SWh6Eaz5Eha8CiPmQY2Wts+CcTB/HFz5FkTXh9nPQvw6uypseKR/lOPrv9lJtm43S1p+exX+nAajF0OlWrbPN6Mg8QBc/qb7cWERULay58sgUlIbfwBHqCX4Tqclzb+9DiPnQ/UWsOwDqNoUourAqSMw53lrkLp3NYSEQuopu8hYdt+OgrRkuHV6/q/7yRA4EW9fJtJT7Qt/rY5w9XuBW6ZxbaDjcOh4s/u+MhXyP494s0zJCfBqa2h2MfS6z851s5+zOuj+9RAanvfrTrsPNs2EK960i+LNeMgSxttnBm6ZPhhsr9nnUfd94WU9c9G/My3T/jXwTl/o/SC0uRpO7LNj0GQgXPhs/q/rz8eppGXy1HFyiv95spLTuf774j9ufFenc/bz7r9/fc7pfLOn5+IqjqKUYds82+/kkfz3+W8fp3PaA+6/09Odzv80czrnveyRMAtVkmOx/nun88kop/PITvd9vjwWCQetHNsX5L/PFzc7nZ9ck/O+//Z1Or/7h93OyHA6X2ridC54zb391FGn8+lqTufqLz0dcd6KUo7Tpac5nc/WdjpXTnHfN3Wk0zllqOfjEyltY+s5ncs/zHvbvjX2+fhra97bEw46nWNinM5Vn+b//Ac22HPELXfft2mWnc+O7S1x2AUq7TI5nU7nK62dzoUTzizO4ihOmeKW299Hd7v32b/W7ju0Je/nOHXUyr32G/d9BzbaY3Yt8UgRcintMjmdTuf7FzudM/7PczEXpjhlmvWU0znx/Jz7bJjhdD5T3elMOp73c/j7cSpJmZxOjx0nzQE5W2RkWKvD6a24h7fCf5rBq22tdfjobt/EV5C3e8N/msJHl1sLiUtaig2DOucC930hIfZ33FIvB1kMKz+2GKPr5bzfV8ci6Zj9LqiFf/fSnO8zQON+7vf5yA4bApd9n8goqNPZe8eiKOU4XepJyEjN/ZgdC+DFRvBGJ2vxOXnYc3GKeFpGOqz5yv6f63TNvT0lEVZNtp7JSnXyfo4/PrUhFi0vz/91di+xz3Xtju77zrnAWmz3eHi4qLfK5LJgHLzQAN7uBb+9BulpZxR+nkpSpqpNoGwVWPGx1Xmpp+x21Wa2X172rrLzWvbzcbWmEFUX4pYEZplc1nwBLzSECd1tCFfKSc+WB0pWpvQU61XPLiwS0pLseOTF349TScrk4oHjpDkgZ4uFr0NKArS60n1fnc7W7RfTxOYyzHnBhtnctSjnkCdfqRhrQ6tqdbCT1IqPYNJg+NsvNvzp5F/gTM89VrJ8NTi0ySchF+r4PhvCNeTdnPf76lhkZMCPj0Dd7u6hVHlJiM/7fU6Iz9x+wH4XtE9pKmo5TjfrSfs/y14BNO4HLS6FyvXh8HYb2vXJEPjbz9YtLeIv4tfBuwPsC0FEBRsOWr25e/uSd+x/PDXRzi03fWvDCfOy4mMbZhFeNv/XS4i3z3R2oWGWwHvqc+7tMgF0G2FDk8tWht2/wy9jbJjZRc/5vkxlKsIt0+GzG2Dei3ZflUY2Jy2/cfgJByA0AspG57zfk+djb5cJ7FhG14WKNe31Zz1pcwCvn+z7MjXqa0PA13xl37MS4mFuZtnye8/9/TiVpEzgseOkBORssPpLmPsCXD8l57wI10QkAFrbHIpX29hk4443eT3MXKo2yTmhuF43OLLdPhBX/dd3cZ2JP6ZYC2Lz0+aM+OpYzHjA5k3c9mPpvYY3lKQc81+xOUS3TM85R6XN1e7bNVrZz+vtYcf83L1AIr4U08TGcycftzlk346EW2a4v2C0vda+RJzYb3MAv7wFbpuZe07W7iVwaCNcNdHrRcjFF2U692737djW9qVw2r02580TV4A+kzKlnoLv7oZ63W2eTUaGNShOvhbunF14clVafFGmzre6b9doBRVqwEeXweFtUOUc35apcT8Y8Iz1mE+90/5vznsIdi0Eh+PMYwukMnnoOGkIVqBb8xV8dw9cMwka9Sl437LRNnHo8DZvRFYytTu64ysXYxOsXK3vLokH7R/e3zidthhAu+vzb7Fz8caxmP4gbPoJbvkeomoXvG+FGgW/z66eD18ci+KUw+W3120S/fBv7AtHQao0tP81f/5cSHAKi7DzRK0O0P8pqNEafn/LvT0yyrY36AnXfmStkBum5X6eFR/a6kO1OhT8ehVq2Gc6u/Q0m8Dqqc+5t8uUlzqdbWK0a/WgM3UmZVrzpcVx+Zu2UlTdLjDkPTi6EzbkM7G+QnUbPnPqaM77PXk+9naZ8lKns/321Ln5TP/3zr0bHt4F962Df26D5oPt/soN8n49fz9OJSlTXkp4nJSABLI1X8H/RlsLQ9MLC98/OcGGnFSILf3YSmr/GvcHMyzChmJtn+venpEB2+ZCnS4+Ca9AOxbYB7DD8ML3Lc1j4XTal/YN0+Dm74t2IqnbJef7DLB1tvt9rtzAjkv2fZKOQ9yy0jsWJSkHWOIx7yUY9nXOsez5ObbH5oD48+dCBMCZYcNV895on5m05Jx3JyfAum+hQxF6Wut2tblWe1e679s+1163dueSRl2w0i5TXvavsXkt5auW7PGFKU6ZUk9ZLNlbnB0hgMP2y0ut9hASnvN8fGgzHNud9/h/TyjtMuVl/xr7XVrn5pL87zkcUKmm9eKs+crmU9Rsn/dT+PtxcilOmfJSwuOkIVj+IjkhZ/Z4dCfsW21jVqPr2iSf4/vc3c2rv7Sutouet4rhROZ4vfBIy3gBfnoUmg2yCU8n9sOc52yMe/YhKL4sw6I3bRx+teb2gVjxEWyfZ63WLj1G27KptTpYS8riN20sY4dhpVOGkpTDZeXHdizymqPgzWMx/QE7iQydYmNCXf8bkZXcXd9TR9gJp/9T9ne3UTDpYuuibXKhDV3auxIufc22OxzQfZR9sa/SyI7br8/a/IrTh5v5shwLxtlyj0PetUUAXI+JKG/LbiYn2PVYWlxurVNHtsOsJ6zbuHG/0imHSEn8/BQ0HmBLaKYkWKvyjgU2jv7wdlg31YZWlKsKx/fa/354pC2hmd26qdba3/ba3K8Rtxy+GQE3f2fLVFdrZteS+u7vcMmrNoF2xkO2HHalmoFZpt1LrKGkYW87j8Qttflkba/zzNLbZ1qmc/rAzMftfNdthH2BXDDOlmlv2Nv2Ob4XPrwMrpxo1zSKjLJlhX961MpQpiLM+Kd9qa3rgQYhX5Tp8DY73zcZYBPY49fBT49A/Z6F92J7o0xgixc07m/J1J/f2z7XTHLPHQy041SSMnnwOCkB8Rd7V+a8KN9P/7Lf7W6w6y6ciIdjce7tyyfZCXjGg/bj4tof7B/nq9vh1GH7B6zX3SballarT3HLkJ5iH8wT++wLZY3Wdp2Mhue592k9BBL/si+VCfHW5T5sqmcu4uOpcoC1Gq7/DgaddrFBF28ei2WZ6/VPGpzz/svfhA432u1jcZktUpnqdbMv7b/+2yZlV2lkc4qyJ1M977WVLr7/h5W3Xnc7FqVxDZCSlmPp+/Z/9cVpLaPnP2zXZAkJtRPmqk+tDBVr2tDFvo95Ziy4iKckHrRrICXshzKVbKz18MwvFMf3wc5FsPgtG95RoTrUPxdun5X7+kgrPrZFF06fCAu2Ys5fm+16Hy5XvWNJx0eX2WerxWUw6IXALVNohDWozHke0pNtFaAed0GPu3M/1hdlqtYUbvjMFiZ5d4A19tRsaz24FTNblNNTrUyp2VYaunCsHZ/Ph9s5r1HmBe4CtUyhEXZRvMVvWj0TVdv+9857yD/KBLbAzLyX7f+oRmsY+mnO+Z2BdpxKUiYPHiddiFBERERERLxGc0BERERERMRrlICIiIiIiIjXKAERERERERGvUQIiIiIiIiJeowRERERERES8RgmIiIiIiIh4jRIQERERERHxGiUgIiIiIiLiNUpAxD9tnw9PRdkVPM/EN6Pg0xs8EpJPfDAYfni48P3eHwSrvyz9eLL78lZY+IZ3X1NExJ8d2Wl1177VZ/Y8f06D19rDmMpFqwP8TVHr8G1zYHwXyEj3RlTmwAZ4uQWkJHrvNSUXJSBSupa+B8/VhvQ0933JCfB0jH25zs51wjq8Dep2gwc2QWRU6ce4fBK81ROerQVj68HbvWD+y6X/up6yYQYkHoDWQzzzfKumwHsXFr7feQ/BvP9A0jHPvK6ISFEkHoJp98ErreCZavBSE/j4Sti12NeRec60e6Hl5XDfeuj7aN777F8DU66HFxvBM9VhXBv48hZIOOjNSM/MrCesLgkJ9czzvdoGts4ueJ/qzaFOZ1g0wTOvKSUS5usA5CzX8DxISYC9K6FuF7tv1yKoUAP2LIPUJAiPtPt3zIeoulDlHPu7Yo3Sj2/Fx/DjIzDoBajfE9JTIH4dHFhf+q/tKb+/De1vhBAPtSdsmA7NBhW+X42WUKUhrP4Cut7hmdcWESnM58PtXH3lW1C5gX3h3j4HTh72dWSekZwAiQehcT+oVDPvfRIPwYeXQdOLYPhUa6w7ugs2/gCpiUA1r4ZcIjsXweEd0OIyzzzf/rVw6hg06FX4vh2GwXd/h173Q6i+CvuC3nUpXVWbQIVYSy5cCciO+dDsYtg+D+KWQsPemfcvgAaZt7fPhw8vgf/bCWWjYeVkSxSued9+H9sD9brDFW9CxVh7TEY6zHwcVn5iX8Y7DAecBce38QdodSV0vMl9X/UWOff5ZpS18tdsC0v+C2kp0OZqGPQihEVkvnYG/DbOelMSDkBMY2vVaXWF+3ni18Osx+2kG1EOGvWFC8dC+RjbnpII0+6HP7+HMhXg3HsKf38TD9n7OOiFnPc/FQWXjIONP9r26Lpw+QQoF2Mn3b0roEZruGqiO+EDSwi3zoZ+T9rfS96BxW/a+x1ZCer1gOs+du/fdBCs/VoJiIh4x6mjsGsh3DLd/UUzuh7U6ZRzv6eiYPDLdo7fscAavQY8nfOcfCwOfnrUznkOB9Q/Fy56HirXd++z/ENYNN6GVkXXg24jcp7v4pbDtH/AwU1Wd5z3YBHKcMSGVW36weqTBj2tPolp5K77AD681H7fPM1dT7rsWgzJx+GyN9xfoCs3sEa/7HYssHoxfi2UrQzthkLfx92PGdcGuo+CHne5H/NWL2g+GPo84n4vL30dNs+ELb9YUjTwWWh+sfsxm2bCjw/D8T1Qp4u9TmHWfg2NLnA3QgLMHmuNYN1GwJzn7b1qdz1c/JIN+V00AZwZ0H2k1bHZbZxhSVtouCVjMx6yBs/0VDt2A56BpgNt33P62HPvXADnXFB4rOJxGoIlpa9hb0s6XLbPt4qjQU/3/amnIG5Z7pNsdqkn7QR05US4dYZVHjMfc29f+AasmgyXj4fbfrKTy5/TCo6tQnVLgo7uKni/7XPh4Ear9K5+z5KEuc+7ty94Gf74zL7037UYut8FU++0kz9YpfnhpRDbFu6cA8O+tkTly5vdzzHzcdj5GwydAsO/scfu+6PguHYtgvByULVZ7m1zX7IT98gFULUpfH27dev3vs9iwGkn6NPLWakmVGsKe1bAD/8HfR6Fe5ZZzPV75ty/difYsxzSkguOU0TEEyIq2M+G6YWfd3591lrXR/4Gba+Fr26z8zjYl9KPr7LGntt+gNtnQkR5+GSIJQVgvbuzn7Mv7HcvgX5PwOxnbZgqWE/FlGuhWnMYMRcueCRnnZSfb++yUQFDP4O/zQKnEyZfbTHV7QZ3L7f9rv3YhiLX7Zb7OSrUgIw02PC9PT4vx/fC5Gugdkd7Dwa/Ais/hnkvFR7j6ea+YI11o36DJgNh6h3uHqdjcfD5MOs5H7nAGvR+fqrw59y1CGp1yH3/ke2wZZbVOVe/ZzFPvsbKc+sMGDAGfv23fWfIbuMMS5wApj9o/x+3/gCjFkL/MXZ8XcIiILaNNQiKTygBkdLXoDfs+t3mgSSfgP2rLQGp39P9BX33EkhPdveA5CUj1b7g1+4ItdpbK9S2ue7ti9+C3vdDy8ugWjO45FVrtS/IBQ9b1/WrbeCNTtbbsXaq9WhkFxpuPQjVW0DTC6HPv+D3ibZfWjLMf8W2N+5vw5I63GgV3rIP7PFL3rEelP5P2pf7mu1s/x3z4dAWq8hWfgwDn7HWmBqt4Iq3rIIpyNHdUKFa3sOvOtwIra+Cqo2h572WZLW51mKs1gy6jXS//y7Zh18di7MTdtMLrfWoZjtrdcquYqwNhUiILzhOERFPCA2znu9VU+D5evDeQPh5jA2/OV2rK6DTzXYO7PuYfdn9faJtWzvVWtIvG2/n22rN4PI37bznahib/Rxc+KzVKZUb2O/uo93n9TVfup+jegtodhGc+/eC4/9rq31RvuwN63GJbQND3oXj+2DDNPtiXL6q7Vu2sg1FdvW0Z1e3C/R+AL7+G7zY0BKn316zhi2Xpe9Cpdpw8X+s3mlxiSVJi8bnruMK0/4G6/mPaWSJWEqCNVKBzfWs0tDeq6pNrO5rX4TFX47uhop5DDFzZmTWt82tPmrQG/7abL1TVZvY8KmYJta773J8rw2fbtzf/j4WZ6MkarSy2JpdZI2e2VWMhWO7i/c+iMdoCJaUvga9bEzq3hXWExDT2E6w9XtaS1Bqkn0RrtzAhgrlJ7xczuFCFWNtnCzYEKmE/VC7s3t7aJhVOPm1Drme428/2/Conb9ZIvTtKFjxEQyb6v5iX6O1DZtyqdvVTsDH42zoVOpJ+OiKnM+dnmJJB0D8Guv5ebZW7hiObIe0U7Z/9vjLVbGKsyBppyAsMu9tNVq5b1fIHA9co2W2+6pDWhIkHbdEzemETT/CNZNse6M+NifntXZ2Um/cH5pfkvN9CC9rv1NPFRyniIintLwcmlxoQ7HilsHmWfbl+7I3rOHFpU7XnI+r29UmboOdkw9vs0VSsktLsnNySqL9/t/dNmzVJSPN3bB1aJOdZ7MPIap72mue7uBGCAmzSdAurnP9wU1FK79Lvyegx93Wcx23DJa9bwuo3PqDxXVwo8XjcLgfU697Zt21p+D69nTZ65OI8lCmkrv+PbQpZ90Fhb8PkFl/lcl9f3Q9KFPR/XeF6jZJPXtDW4XqNgTZZeMMK1vZaPu72wiYfj9s/dUa9VpcBrGtc75OeFmru8UnlIBI6YtpZK0w2+dB0lH3MJ5KNSGqNuz+3VqcTh+7erqQ8NPucFDoHI+iqtHSfrreATtvgw8usrGhhcUE7qX8bvwid2uO6+SakmgtMP3H5H58xVirCEuiXEz+yxzmeL8c+d/nzGwJ27PcKldXd3+ZijBinh2brb/a0IM5Y+GO2e6T/KkjmXFULVn8IiIlER5p8+ga9YXz/2mJwpyxOROQgqQkWk/6Ve/k3la+qvu8ftnrNtQ0O0+t2OQJ5arY0KhWV9rcvYm9M4cqv120xzvyqEczUnPvl1f96yxmL8rp8qu/8nqtwl5/4w82t9Sl0802H2TTT1Z/zX/Femi6jXDvc+oIVG54ZmWQEtMQLPGOBr2tl2PHgpwrVNQ/18Z67lkODYrwZT8/kVE22X1PtjGh6Wmwd1Xxn6ta5nyKlGwtI/Frc7byxy21cciV6tj+oWWsyzemUc6fqDq2f812tvZ4dP3c+0SUt5NgSHjO+E8dse76gsS2teFPrkTgTGyYbq2K2SvX0DDrCRn4jI2jPborZ7f3gfWWXLom0ouI+EK15rmv6xC3NPffVZva7Zrt7Pxavlruc3JklLWwV6wJR3bk3l65gT1H1aY27Cc1Kf/XzBVnM2voyT5/4eRhG4rrqntKKizC6hLX+1CtmfXqZx8FsGsxRFS08zZYsnViv3t70nGbcF8cVZtaHZ5dYe8DWP3lmpNzJpITbIRB9gQErP7tcjtcPxnOvdsWFMjuwJ/uUQridUpAxDsa9rYT3/41pyUgvWDZJBt+VNAE9KLoPhIWjLOJ5wc3WfdrYdeomHYfzH3RYju6C3YvhW9GWot+9i7k9FRrYTuwwVb7mD3WektCQqyn4Nx7bHWuVVOsN2PvKhtr7Jqs2OUOSxK+vs1O1Ie3wZafbQhaRrpNhOw4HGY+YfNa4tfbNkchH9Ga7awVadfvZ/TWAZktSNmW3934Iyx+2y6odXQX/PGptThVbeLeZ+ciS1BERLzh5GGYdAn88bnN+ziyA9Z9Y0Owmp/2BXT9t7bU+qEtNp9jz3Loeqdta3OtnTs/uwF2LrTn2T4fZvzTVv0Dmy8x/xU7Dx7aYsnGyk9g4fjM57jGehC+/7u7bijs4qwxjaDZYHvMzkVWJ069w0YEuCZQF8XGH+HrO+z3oS1waDP8lrlSlet5uvzNhlrNeMjqxA3TrZeox2j3cKaG58Hqz+09iF9nQ5CL28PT+TY4vNUm4B/abBfFddV9BWnczyain6ktP9vQ7uyrl/3wsN1/ZIfVx9vn2zwYlyM7bd6IVsDyGQ3BEu9o0NvGe1Ztai1LWff3hJQTNqHMtZxuSfW4B07E2wnU4bBleFtcYi06+TnnAqtQlr4Hpw5bhVSnC9z8nXVtuzQ83yqODwZZstR6iFVOLn0fs5ak+a/YCS8yypKD3g/Y9ko1bZWVWU/YBbPSUmz8beP+7iRjwDPWcvXp9da7cu7dBccOVlF0uBHWfGFDvErq8Db7adzPfV9klK32NWesTbSPaQRD3nMvU5yaZBXasK9L/roiIsURUd7mTyyeYNeQyEi11vxON7vPty4XPGJLvU5/wCZzD3nPJjaDzWW79Qf4+UlbwSk5wc7TDc93zz/odLPNPVz4mi2hHl7O5kJ0H2Xby1SAoZ9bQ9bE3tbj0H8MfDG84DJcMcG+IE+5zuqT+ufCjV/ZYidFVa2ZzWGY+aglTGERUKWRzYNpd73tU6kW3PilrbD4dk+b1N5heM7la3vdb1/Gp1xn8zr6Plr8HpDourZi10+PwO//tSFr/Z6A/40u+HFtrrE68dDmnA1bxbVxRu5rVznTbSWs43vteDbuDxeNdW9f+5UN34uuV/LXlTPicDoLmqErIlnXARlahBYdXzgRD292s/kaJT2ZLhwP2+bAsK+K/pil71pv003fluw1RURKy1NRcN1ka4QS/zXzMVsd89LXSvb49DT4T2O48evc14LJT1oKvNHRVh+r171krytnTEOwRAJdxRq2DOSxuJI/R6VatoRxcYSE28WhRERESqL3g7baYnGXBXY5dcSWRq7dseiPObbb6jslHz6lHhCRwvh7D4iIiOSkHhARv6YEREREREREvEZDsERERERExGuUgIiIiIiIiNcoAREREREREa9RAiIiIiIiIl6jBERERERERLxGCYiIiIiIiHiNEhAREREREfEaJSAiIiIiIuI1SkBERERERMRr/h9hqPcC71wxlAAAAABJRU5ErkJggg==", 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", "text/plain": [ "
" ] @@ -110,7 +108,19 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'PointMassMotor' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mthrust_profile\u001b[39m(t):\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m250\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[32m0\u001b[39m <= t <= \u001b[32m3\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m \u001b[32m0\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m motor = \u001b[43mPointMassMotor\u001b[49m(\n\u001b[32m 7\u001b[39m thrust_source=thrust_profile,\n\u001b[32m 8\u001b[39m dry_mass=\u001b[32m1.0\u001b[39m,\n\u001b[32m 9\u001b[39m thrust_curve=thrust_profile,\n\u001b[32m 10\u001b[39m propellant_initial_mass=\u001b[32m0.5\u001b[39m,\n\u001b[32m 11\u001b[39m propellant_final_mass=\u001b[32m0.0\u001b[39m,\n\u001b[32m 12\u001b[39m burn_time=\u001b[32m3.0\u001b[39m\n\u001b[32m 13\u001b[39m )\n", + "\u001b[31mNameError\u001b[39m: name 'PointMassMotor' is not defined" + ] + } + ], "source": [ "# Define Motor\n", "# Thrust profile: constant for 3 seconds\n", @@ -214,7 +224,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -228,7 +238,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4, From d4dc989ccb22dbae3fe40b840c04ff7d8b46e57e Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 12 Jul 2025 00:29:29 +0530 Subject: [PATCH 14/56] MNT: lint cleanup and adding 3dof to init -MNT: cleaned up PointMassRocket rocket.py for linters. -ENH: including PointMassMotor in motors and rocketpy __init__.py -MNT: adopting to structural changes in 3dof on the 3_DOF_TRIAL.ipynb -MNT: including pointmassmotor in settings.json as a spell word --- .vscode/settings.json | 1 + docs/examples/3_DOF_TRIAL.ipynb | 35 +++++++++++++++---------------- rocketpy/__init__.py | 1 + rocketpy/motors/__init__.py | 1 + rocketpy/motors/pointmassmotor.py | 6 +++--- rocketpy/rocket/rocket.py | 13 +----------- 6 files changed, 24 insertions(+), 33 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 7fa0c1ff8..70f540be4 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -239,6 +239,7 @@ "outerboundaryis", "overshootable", "planform", + "pointmassmotor", "polystyle", "powerseries", "Prandtl", diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb index d7e5f7d45..f5daefa0f 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -11,7 +11,7 @@ "import numpy as np\n", "from scipy.signal import savgol_filter\n", "from rocketpy.rocket.rocket import PointMassRocket\n", - "from rocketpy import Flight, Environment, Function\n" + "from rocketpy import Flight, Environment, Function, PointMassMotor\n" ] }, { @@ -106,21 +106,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'PointMassMotor' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mthrust_profile\u001b[39m(t):\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m250\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[32m0\u001b[39m <= t <= \u001b[32m3\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m \u001b[32m0\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m motor = \u001b[43mPointMassMotor\u001b[49m(\n\u001b[32m 7\u001b[39m thrust_source=thrust_profile,\n\u001b[32m 8\u001b[39m dry_mass=\u001b[32m1.0\u001b[39m,\n\u001b[32m 9\u001b[39m thrust_curve=thrust_profile,\n\u001b[32m 10\u001b[39m propellant_initial_mass=\u001b[32m0.5\u001b[39m,\n\u001b[32m 11\u001b[39m propellant_final_mass=\u001b[32m0.0\u001b[39m,\n\u001b[32m 12\u001b[39m burn_time=\u001b[32m3.0\u001b[39m\n\u001b[32m 13\u001b[39m )\n", - "\u001b[31mNameError\u001b[39m: name 'PointMassMotor' is not defined" - ] - } - ], + "outputs": [], "source": [ "# Define Motor\n", "# Thrust profile: constant for 3 seconds\n", @@ -130,7 +118,6 @@ "motor = PointMassMotor(\n", " thrust_source=thrust_profile,\n", " dry_mass=1.0,\n", - " thrust_curve=thrust_profile,\n", " propellant_initial_mass=0.5,\n", " propellant_final_mass=0.0,\n", " burn_time=3.0\n", @@ -139,9 +126,21 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "PointMassRocket.__init__() got an unexpected keyword argument 'drag_coefficient'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[6]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# Define Rocket\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m rocket = \u001b[43mPointMassRocket\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmass\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m2.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdrag_coefficient\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m0.75\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 3\u001b[39m rocket.add_motor(motor)\n", + "\u001b[31mTypeError\u001b[39m: PointMassRocket.__init__() got an unexpected keyword argument 'drag_coefficient'" + ] + } + ], "source": [ "# Define Rocket\n", "rocket = PointMassRocket(mass=2.0, drag_coefficient=0.75)\n", diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index a5e6cd299..a4218ee27 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -18,6 +18,7 @@ MassFlowRateBasedTank, Motor, SolidMotor, + PointMassMotor, SphericalTank, Tank, TankGeometry, diff --git a/rocketpy/motors/__init__.py b/rocketpy/motors/__init__.py index 73f49633c..4c00436a7 100644 --- a/rocketpy/motors/__init__.py +++ b/rocketpy/motors/__init__.py @@ -4,6 +4,7 @@ from .liquid_motor import LiquidMotor from .motor import GenericMotor, Motor from .solid_motor import SolidMotor +from .pointmassmotor import PointMassMotor from .tank import ( LevelBasedTank, MassBasedTank, diff --git a/rocketpy/motors/pointmassmotor.py b/rocketpy/motors/pointmassmotor.py index 9252127b9..36a231756 100644 --- a/rocketpy/motors/pointmassmotor.py +++ b/rocketpy/motors/pointmassmotor.py @@ -1,8 +1,8 @@ from functools import cached_property + import numpy as np -import csv -import math -from typing import Callable # Import Callable from the typing module + +from typing import Callable from rocketpy.mathutils.function import Function, funcify_method from .motor import Motor diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 8ec6e56c4..f8bfe0a91 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2022,38 +2022,27 @@ def __init__(self, mass, radius=0.05): power_off_drag=power_off_drag, power_on_drag=power_on_drag, ) - @cached_property - @funcify_method("Time (s)", "I_xx (kg·m²)") + def I_11(self) -> Function: """Returns the moment of inertia around the x-axis for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_22 (kg·m²)") def I_22(self) -> Function: """Returns the moment of inertia around the y-axis for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_33 (kg·m²)") def I_33(self) -> Function: """Returns the moment of inertia around the z-axis for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_12 (kg·m²)") def I_12(self) -> Function: """Returns the product of inertia I_xy for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_13 (kg·m²)") def I_13(self) -> Function: """Returns the product of inertia I_xz for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_23 (kg·m²)") def I_23(self) -> Function: """Returns the product of inertia I_yz for a point mass (always 0).""" return Function(0) From c8096c594bfc85512788a934b6a71dec27b0ab0d Mon Sep 17 00:00:00 2001 From: Ishan Date: Sun, 31 Aug 2025 00:55:58 +0530 Subject: [PATCH 15/56] MNT: Point mass motor and rocket fixes - MNT: pointmassmotor fixing the various properties. - MNT: fixing super init and init inheritance by changing order in pointmassrocket - MNT: pointmassrocket property setter and default value fixes --- rocketpy/motors/pointmassmotor.py | 239 ++++-------------------------- rocketpy/rocket/rocket.py | 147 +++++++++--------- 2 files changed, 98 insertions(+), 288 deletions(-) diff --git a/rocketpy/motors/pointmassmotor.py b/rocketpy/motors/pointmassmotor.py index 36a231756..11cabe021 100644 --- a/rocketpy/motors/pointmassmotor.py +++ b/rocketpy/motors/pointmassmotor.py @@ -1,74 +1,22 @@ from functools import cached_property - import numpy as np - -from typing import Callable - +from typing import Callable from rocketpy.mathutils.function import Function, funcify_method -from .motor import Motor +from .motor import Motor -class PointMassMotor(Motor): - """Class representing a motor modeled as a point mass. - - Inherits from the Motor class and simplifies the model to a thrust-producing - object without detailed structural components. The total mass of the motor - will vary with propellant consumption, similar to a standard motor. However, - its inertia components and the center of propellant mass are considered zero - and fixed at the motor's reference point, respectively. - """ +class PointMassMotor(Motor): + """Motor modeled as a point mass for 3-DOF simulations.""" def __init__( self, thrust_source, dry_mass, propellant_initial_mass, - burn_time = None, - propellant_final_mass = None, - reshape_thrust_curve = False, - interpolation_method = "linear", + burn_time=None, + propellant_final_mass=None, + reshape_thrust_curve=False, + interpolation_method="linear", ): - """Initialize the PointMassMotor class. - - This motor simplifies the physical model by considering its mass to be - concentrated at a single point, effectively setting all its inertia - components to zero. Propellant mass variation and exhaust velocity - are still simulated and derived from the thrust and propellant consumption - characteristics, similar to the base Motor class. - - Parameters - ---------- - thrust_source : int, float, callable, str, numpy.ndarray, Function - Thrust source. Can be a constant value (int, float), a callable - function of time, a path to a CSV file, a NumPy array, or a - RocketPy `Function` object. - dry_mass : float - Total dry mass of the motor in kg. - propellant_initial_mass : float - Initial mass of the propellant in kg. This is a required parameter - as the point mass motor will still simulate propellant consumption. - burn_time : float, optional - Total burn time of the motor in seconds. Required if `thrust_source` - is a constant value or a callable function, and `propellant_final_mass` - is not provided. If `thrust_source` is a CSV, array, or Function, - the burn time is derived from it. - propellant_final_mass : float, optional - Final mass of the propellant in kg. Required if `thrust_source` - is a callable function and `burn_time` is not provided. If not - provided, it is calculated by the base Motor class. - reshape_thrust_curve : bool, optional - Whether to reshape the thrust curve to start at t=0 and end at - burn_time. Defaults to False. - interpolation_method : str, optional - Interpolation method for the thrust curve, if applicable. - Defaults to 'linear'. - - Raises - ------ - ValueError - If insufficient data is provided for mass flow rate calculation. - TypeError - If an invalid type is provided for `thrust_source`. - """ if isinstance(thrust_source, (int, float, Callable)): if propellant_initial_mass is None: raise ValueError( @@ -79,14 +27,13 @@ def __init__( "For constant or callable thrust, either 'burn_time' or " "'propellant_final_mass' must be provided." ) - elif isinstance(thrust_source, (Function, np.ndarray, str)): if propellant_initial_mass is None: raise ValueError( "For thrust from a Function, NumPy array, or CSV, 'propellant_initial_mass' is required." ) else: - raise TypeError( + raise TypeError( "Invalid 'thrust_source' type. Must be int, float, callable, str, numpy.ndarray, or Function." ) @@ -95,172 +42,50 @@ def __init__( super().__init__( thrust_source=thrust_source, - dry_inertia=(0, 0, 0), # Inertia is zero for a point mass - nozzle_radius=0, # Nozzle radius is irrelevant for a point mass model - center_of_dry_mass_position=0, # Pass 0 directly to the superclass + dry_inertia=(0, 0, 0), + nozzle_radius=0, + center_of_dry_mass_position=0, dry_mass=dry_mass, - nozzle_position=0, # Nozzle is at the motor's origin + nozzle_position=0, burn_time=burn_time, - reshape_thrust_curve=reshape_thrust_curve, + reshape_thrust_curve=reshape_thrust_curve, interpolation_method=interpolation_method, - coordinate_system_orientation="nozzle_to_combustion_chamber", # Standard orientation + coordinate_system_orientation="nozzle_to_combustion_chamber", ) - # Removed the thrust method. It will now be inherited directly from the Motor base class, - # which already correctly handles the conversion of thrust_source to a Function - # and exposes it as a cached property. - - # Removed the total_mass override. The base Motor class's total_mass property - # will now correctly calculate dry_mass + propellant_mass(t), which is the desired - # varying mass behavior for the point mass motor. - - # Removed the center_of_dry_mass_position override. It is now passed directly - # to the super().__init__ as 0. @property def propellant_initial_mass(self): - """Returns the initial propellant mass for a point mass motor. - - This property retrieves the value set during initialization. This implementation - is required as 'propellant_initial_mass' is an abstract method in the parent Motor class. - - Returns - ------- - float - Propellant initial mass in kg. - """ return self._propellant_initial_mass - + @funcify_method("Time (s)", "Exhaust velocity (m/s)") def exhaust_velocity(self): - """Exhaust velocity by assuming it as a constant. The formula used is - total impulse/propellant initial mass. - - Returns - ------- - self.exhaust_velocity : Function - Gas exhaust velocity of the motor. + """Assume constant exhaust velocity: total impulse / propellant mass""" + v_e = self.total_impulse / self.propellant_initial_mass + return Function(v_e).set_discrete_based_on_model(self.thrust) - Notes - ----- - This corresponds to the actual exhaust velocity only when the nozzle - exit pressure equals the atmospheric pressure. - """ - return Function( - self.total_impulse / self.propellant_initial_mass - ).set_discrete_based_on_model(self.thrust) - @cached_property - @funcify_method("Time (s)", "Mass flow rate (kg/s)", extrapolation="zero") def total_mass_flow_rate(self) -> Function: - """Time derivative of the propellant mass as a function of time. - - It calculates mass flow rate as the negative of thrust divided by exhaust velocity, - consistent with the fundamental rocket equation. - - Returns - ------- - Function - Time derivative of total propellant mass a function of time. - """ - - exhaust_vel_func = self.exhaust_velocity - return -self.thrust / exhaust_vel_func + """Mass flow rate: -thrust / exhaust_velocity""" + return -self.thrust / self.exhaust_velocity @cached_property - @funcify_method("Time (s)", "Propellant Mass (kg)") def center_of_propellant_mass(self): - """Returns the position of the center of mass of the propellant. - - For a point mass motor, the propellant's center of mass is considered - to be at the origin (0) of the motor's coordinate system. + """Center of propellant mass is always zero""" + return Function(0.0) - Returns - ------- - Function - A Function object representing the center of propellant mass (always 0). - """ - return 0 + # Propellant inertias: always zero, but return as Function objects + def _zero_inertia_func(self): + return Function(0.0) @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_11(self): - """Returns the propellant moment of inertia around the x-axis. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_11(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_12(self): - """Returns the propellant product of inertia I_xy. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_12(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_13(self): - """Returns the propellant product of inertia I_xz. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_13(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_22(self): - """Returns the propellant moment of inertia around the y-axis. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_22(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_23(self): - """Returns the propellant product of inertia I_yz. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_23(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_33(self): - """Returns the propellant moment of inertia around the z-axis. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 + def propellant_I_33(self): return self._zero_inertia_func() diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index f8bfe0a91..de3490d67 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2005,106 +2005,91 @@ def from_dict(cls, data): return rocket class PointMassRocket(Rocket): - """Rocket modeled as a point mass for 3-DOF simulations.""" - - def __init__(self, mass, radius=0.05): + def __init__( self, - radius: float = 0, - mass: float = 0, - center_of_mass: float = 0, - power_off_drag = 0, - power_on_drag = 0, + radius: float = 0.05, + mass: float = 0, + center_of_mass_without_motor: float = 0, + power_off_drag: float = 0.4, + power_on_drag: float = 0.4, + ): + self._center_of_mass_without_motor_pointmass = center_of_mass_without_motor + self._center_of_dry_mass_position = center_of_mass_without_motor + self._center_of_mass = center_of_mass_without_motor + # Dry inertias are zero for point mass + self._dry_I_11 = 0.0 + self._dry_I_22 = 0.0 + self._dry_I_33 = 0.0 + self._dry_I_12 = 0.0 + self._dry_I_13 = 0.0 + self._dry_I_23 = 0.0 + + # Call base init with safe defaults super().__init__( - radius=radius, - mass=mass, - inertia=(0, 0, 0), - center_of_mass_without_motor=center_of_mass, - power_off_drag=power_off_drag, - power_on_drag=power_on_drag, + radius=radius, + mass=mass, + inertia=(0, 0, 0), + power_off_drag=power_off_drag, + power_on_drag=power_on_drag, + center_of_mass_without_motor=center_of_mass_without_motor, ) - def I_11(self) -> Function: - """Returns the moment of inertia around the x-axis for a point mass (always 0).""" - return Function(0) - - def I_22(self) -> Function: - """Returns the moment of inertia around the y-axis for a point mass (always 0).""" - return Function(0) + # ------------------------------------------------------------------ + # Center of Mass Properties + # ------------------------------------------------------------------ + @property + def center_of_mass_without_motor(self): + return self._center_of_mass_without_motor_pointmass - def I_33(self) -> Function: - """Returns the moment of inertia around the z-axis for a point mass (always 0).""" - return Function(0) + @center_of_mass_without_motor.setter + def center_of_mass_without_motor(self, value): + self._center_of_mass_without_motor_pointmass = value - def I_12(self) -> Function: - """Returns the product of inertia I_xy for a point mass (always 0).""" - return Function(0) + @property + def center_of_dry_mass_position(self): + return self._center_of_dry_mass_position - def I_13(self) -> Function: - """Returns the product of inertia I_xz for a point mass (always 0).""" - return Function(0) + @center_of_dry_mass_position.setter + def center_of_dry_mass_position(self, value): + self._center_of_dry_mass_position = value - def I_23(self) -> Function: - """Returns the product of inertia I_yz for a point mass (always 0).""" - return Function(0) - @property - def dry_I_11(self) -> float: - """Returns the dry moment of inertia around the x-axis for a point mass (always 0).""" - return 0.0 + def center_of_mass(self): + return self._center_of_mass - @property - def dry_I_22(self) -> float: - """Returns the dry moment of inertia around the y-axis for a point mass (always 0).""" - return 0.0 + @center_of_mass.setter + def center_of_mass(self, value): + self._center_of_mass = value + # ------------------------------------------------------------------ + # Inertia Properties (always zero) + # ------------------------------------------------------------------ @property - def dry_I_33(self) -> float: - """Returns the dry moment of inertia around the z-axis for a point mass (always 0).""" - return 0.0 + def dry_I_11(self): return 0.0 + @dry_I_11.setter + def dry_I_11(self, value): self._dry_I_11 = 0.0 @property - def dry_I_12(self) -> float: - """Returns the dry product of inertia I_xy for a point mass (always 0).""" - return 0.0 + def dry_I_22(self): return 0.0 + @dry_I_22.setter + def dry_I_22(self, value): self._dry_I_22 = 0.0 @property - def dry_I_13(self) -> float: - """Returns the dry product of inertia I_xz for a point mass (always 0).""" - return 0.0 + def dry_I_33(self): return 0.0 + @dry_I_33.setter + def dry_I_33(self, value): self._dry_I_33 = 0.0 @property - def dry_I_23(self) -> float: - """Returns the dry product of inertia I_yz for a point mass (always 0).""" - return 0.0 - - def evaluate_inertias(self): - """Calculates and returns the rocket's inertias. For a PointMassRocket, these are always zero.""" - self.I_11 = self.I_22 = self.I_33 = Function(0) - self.I_12 = self.I_13 = self.I_23 = Function(0) - return (0, 0, 0, 0, 0, 0) - - def evaluate_dry_inertias(self): - """Calculates and returns the rocket's dry inertias. For a PointMassRocket, these are always zero.""" - self.dry_I_11 = self.dry_I_22 = self.dry_I_33 = 0.0 - self.dry_I_12 = self.dry_I_13 = self.dry_I_23 = 0.0 - return (0, 0, 0, 0, 0, 0) + def dry_I_12(self): return 0.0 + @dry_I_12.setter + def dry_I_12(self, value): self._dry_I_12 = 0.0 @property - def center_of_mass(self) -> Function: - """Returns the center of mass for a PointMassRocket. - If a motor is attached, this will be the motor's center of mass. - Otherwise, it will be the `center_of_mass_without_motor`. - """ - if self.motor and not isinstance(self.motor, EmptyMotor): - return self.motor_center_of_mass_position - return Function(self.center_of_mass_without_motor) + def dry_I_13(self): return 0.0 + @dry_I_13.setter + def dry_I_13(self, value): self._dry_I_13 = 0.0 @property - def center_of_dry_mass_position(self) -> float: - """Returns the center of dry mass position for a PointMassRocket. - If a motor is attached, this will be the motor's center of dry mass position. - Otherwise, it will be the `center_of_mass_without_motor`. - """ - if self.motor and not isinstance(self.motor, EmptyMotor): - return self.motor_center_of_dry_mass_position - return self.center_of_mass_without_motor + def dry_I_23(self): return 0.0 + @dry_I_23.setter + def dry_I_23(self, value): self._dry_I_23 = 0.0 From 724f9dd0db50a62a3dd060f4f7f6291cef6068d7 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sun, 31 Aug 2025 01:30:04 +0530 Subject: [PATCH 16/56] MNT: flight class fix on simulation mode detection - MNT: implemented identification of simulation mode based on check if point mass objects are used --- rocketpy/simulation/flight.py | 38 ++++++++++++++++++++++++++--------- 1 file changed, 28 insertions(+), 10 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 8121015ef..148fde59f 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -4,7 +4,8 @@ import warnings from copy import deepcopy from functools import cached_property - +from ..motors.pointmassmotor import PointMassMotor +from ..rocket import PointMassRocket import numpy as np import simplekml from scipy.integrate import BDF, DOP853, LSODA, RK23, RK45, OdeSolver, Radau @@ -1193,16 +1194,33 @@ def __init_solver_monitors(self): def __init_equations_of_motion(self): """Initialize equations of motion.""" - if self.equations_of_motion == "solid_propulsion" and self.simulation_mode == '6 DOF': - # NOTE: The u_dot is faster, but only works for solid propulsion - self.u_dot_generalized = self.u_dot - elif self.equations_of_motion == "solid_propulsion" and self.simulation_mode == '3 DOF': - # NOTE: The u_dot is faster, but only works for solid propulsion - self.u_dot_generalized = self.u_dot_3dof - elif self.simulation_mode == '3 DOF': - # NOTE: The u_dot is faster, but only works for solid propulsion - self.u_dot_generalized = self.u_dot_generalized_3dof + # Determine if a point-mass model is used. + is_point_mass = ( + isinstance(self.rocket, PointMassRocket) + or (self.rocket._motors and isinstance(self.rocket._motors[0], PointMassMotor)) + ) + # Set simulation mode based on model type. + if is_point_mass: + if self.simulation_mode != "3 DOF": + warnings.warn("A point-mass model was detected. Simulation mode should be '3 DOF'.", UserWarning) + self.simulation_mode = "3 DOF" + else: + self.simulation_mode = self.simulation_mode + # Set the equations of motion based on the final simulation mode. + if self.simulation_mode == "3 DOF": + self.equations_of_motion = self.equations_of_motion + self.u_dot_generalized = self.u_dot_generalized_3dof + elif self.simulation_mode == "6 DOF": + if self.equations_of_motion == "solid_propulsion": + self.u_dot_generalized = self.u_dot_6dof + else: + self.u_dot_generalized = self.u_dot_generalized_6dof + else: + raise ValueError( + f"Invalid simulation_mode: {self.simulation_mode}. " + "Must be '3 DOF' or '6 DOF'." + ) def __init_controllers(self): """Initialize controllers and sensors""" self._controllers = self.rocket._controllers[:] From f1e0fb06b668c3af157cc707a3931fbe0999d724 Mon Sep 17 00:00:00 2001 From: Ishan Date: Wed, 10 Sep 2025 00:25:52 +0530 Subject: [PATCH 17/56] MNT: make format changes - MNT: used make format to correct formatting mistakes on all the new classes. --- rocketpy/__init__.py | 4 +- rocketpy/motors/__init__.py | 2 +- ...{pointmassmotor.py => point_mass_motor.py} | 29 +++++++++--- rocketpy/rocket/__init__.py | 3 +- rocketpy/rocket/rocket.py | 43 +++++++++++++----- rocketpy/simulation/flight.py | 44 +++++++------------ 6 files changed, 74 insertions(+), 51 deletions(-) rename rocketpy/motors/{pointmassmotor.py => point_mass_motor.py} (87%) diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index a4218ee27..852a16aef 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -17,8 +17,8 @@ MassBasedTank, MassFlowRateBasedTank, Motor, - SolidMotor, PointMassMotor, + SolidMotor, SphericalTank, Tank, TankGeometry, @@ -36,9 +36,9 @@ LinearGenericSurface, NoseCone, Parachute, + PointMassRocket, RailButtons, Rocket, - PointMassRocket, Tail, TrapezoidalFins, ) diff --git a/rocketpy/motors/__init__.py b/rocketpy/motors/__init__.py index 4c00436a7..b13ff9392 100644 --- a/rocketpy/motors/__init__.py +++ b/rocketpy/motors/__init__.py @@ -3,8 +3,8 @@ from .hybrid_motor import HybridMotor from .liquid_motor import LiquidMotor from .motor import GenericMotor, Motor +from .point_mass_motor import PointMassMotor from .solid_motor import SolidMotor -from .pointmassmotor import PointMassMotor from .tank import ( LevelBasedTank, MassBasedTank, diff --git a/rocketpy/motors/pointmassmotor.py b/rocketpy/motors/point_mass_motor.py similarity index 87% rename from rocketpy/motors/pointmassmotor.py rename to rocketpy/motors/point_mass_motor.py index 11cabe021..7cd42636f 100644 --- a/rocketpy/motors/pointmassmotor.py +++ b/rocketpy/motors/point_mass_motor.py @@ -1,9 +1,13 @@ from functools import cached_property -import numpy as np from typing import Callable + +import numpy as np + from rocketpy.mathutils.function import Function, funcify_method + from .motor import Motor + class PointMassMotor(Motor): """Motor modeled as a point mass for 3-DOF simulations.""" @@ -78,14 +82,25 @@ def _zero_inertia_func(self): return Function(0.0) @cached_property - def propellant_I_11(self): return self._zero_inertia_func() + def propellant_I_11(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_12(self): return self._zero_inertia_func() + def propellant_I_12(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_13(self): return self._zero_inertia_func() + def propellant_I_13(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_22(self): return self._zero_inertia_func() + def propellant_I_22(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_23(self): return self._zero_inertia_func() + def propellant_I_23(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_33(self): return self._zero_inertia_func() + def propellant_I_33(self): + return self._zero_inertia_func() diff --git a/rocketpy/rocket/__init__.py b/rocketpy/rocket/__init__.py index 4019c87b8..13394dd56 100644 --- a/rocketpy/rocket/__init__.py +++ b/rocketpy/rocket/__init__.py @@ -14,5 +14,4 @@ ) from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute -from rocketpy.rocket.rocket import Rocket -from rocketpy.rocket.rocket import PointMassRocket \ No newline at end of file +from rocketpy.rocket.rocket import PointMassRocket, Rocket diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index de3490d67..cd68927e1 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2004,6 +2004,7 @@ def from_dict(cls, data): return rocket + class PointMassRocket(Rocket): def __init__( self, @@ -2065,31 +2066,49 @@ def center_of_mass(self, value): # Inertia Properties (always zero) # ------------------------------------------------------------------ @property - def dry_I_11(self): return 0.0 + def dry_I_11(self): + return 0.0 + @dry_I_11.setter - def dry_I_11(self, value): self._dry_I_11 = 0.0 + def dry_I_11(self, value): + self._dry_I_11 = 0.0 @property - def dry_I_22(self): return 0.0 + def dry_I_22(self): + return 0.0 + @dry_I_22.setter - def dry_I_22(self, value): self._dry_I_22 = 0.0 + def dry_I_22(self, value): + self._dry_I_22 = 0.0 @property - def dry_I_33(self): return 0.0 + def dry_I_33(self): + return 0.0 + @dry_I_33.setter - def dry_I_33(self, value): self._dry_I_33 = 0.0 + def dry_I_33(self, value): + self._dry_I_33 = 0.0 @property - def dry_I_12(self): return 0.0 + def dry_I_12(self): + return 0.0 + @dry_I_12.setter - def dry_I_12(self, value): self._dry_I_12 = 0.0 + def dry_I_12(self, value): + self._dry_I_12 = 0.0 @property - def dry_I_13(self): return 0.0 + def dry_I_13(self): + return 0.0 + @dry_I_13.setter - def dry_I_13(self, value): self._dry_I_13 = 0.0 + def dry_I_13(self, value): + self._dry_I_13 = 0.0 @property - def dry_I_23(self): return 0.0 + def dry_I_23(self): + return 0.0 + @dry_I_23.setter - def dry_I_23(self, value): self._dry_I_23 = 0.0 + def dry_I_23(self, value): + self._dry_I_23 = 0.0 diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 148fde59f..a716a36b5 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -4,16 +4,17 @@ import warnings from copy import deepcopy from functools import cached_property -from ..motors.pointmassmotor import PointMassMotor -from ..rocket import PointMassRocket + import numpy as np import simplekml from scipy.integrate import BDF, DOP853, LSODA, RK23, RK45, OdeSolver, Radau from ..mathutils.function import Function, funcify_method from ..mathutils.vector_matrix import Matrix, Vector +from ..motors.point_mass_motor import PointMassMotor from ..plots.flight_plots import _FlightPlots from ..prints.flight_prints import _FlightPrints +from ..rocket import PointMassRocket from ..tools import ( calculate_cubic_hermite_coefficients, euler313_to_quaternions, @@ -1195,14 +1196,17 @@ def __init_solver_monitors(self): def __init_equations_of_motion(self): """Initialize equations of motion.""" # Determine if a point-mass model is used. - is_point_mass = ( - isinstance(self.rocket, PointMassRocket) - or (self.rocket._motors and isinstance(self.rocket._motors[0], PointMassMotor)) + is_point_mass = isinstance(self.rocket, PointMassRocket) or ( + hasattr(self.rocket, "motor") + and isinstance(self.rocket.motor, PointMassMotor) ) # Set simulation mode based on model type. if is_point_mass: if self.simulation_mode != "3 DOF": - warnings.warn("A point-mass model was detected. Simulation mode should be '3 DOF'.", UserWarning) + warnings.warn( + "A point-mass model was detected. Simulation mode should be '3 DOF'.", + UserWarning, + ) self.simulation_mode = "3 DOF" else: self.simulation_mode = self.simulation_mode @@ -1213,14 +1217,15 @@ def __init_equations_of_motion(self): self.u_dot_generalized = self.u_dot_generalized_3dof elif self.simulation_mode == "6 DOF": if self.equations_of_motion == "solid_propulsion": - self.u_dot_generalized = self.u_dot_6dof + self.u_dot_generalized = self.u_dot else: - self.u_dot_generalized = self.u_dot_generalized_6dof + self.u_dot_generalized = self.u_dot_generalized else: raise ValueError( f"Invalid simulation_mode: {self.simulation_mode}. " "Must be '3 DOF' or '6 DOF'." ) + def __init_controllers(self): """Initialize controllers and sensors""" self._controllers = self.rocket._controllers[:] @@ -1580,17 +1585,8 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals R3 += Z # Linear acceleration L = [ - ( - R1 - - ) - / total_mass_at_t, - ( - R2 - - ) - / total_mass_at_t, - + (R1) / total_mass_at_t, + (R2) / total_mass_at_t, (R3 - b * propellant_mass_at_t * (alpha2 - omega1 * omega3) + net_thrust) / total_mass_at_t, ] @@ -1622,7 +1618,6 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals if post_processing: self.__post_processed_variables.append( - [ t, ax, @@ -1700,11 +1695,7 @@ def u_dot_generalized_3dof(self, t, u, post_processing=False): air_brake.deployment_level, mach ) ab_force = ( - -0.5 - * rho - * free_stream_speed**2 - * air_brake.reference_area - * ab_cd + -0.5 * rho * free_stream_speed**2 * air_brake.reference_area * ab_cd ) if air_brake.override_rocket_drag: R3 = ab_force @@ -1759,7 +1750,6 @@ def u_dot_generalized_3dof(self, t, u, post_processing=False): if post_processing: self.__post_processed_variables.append( [t, *v_dot, *w_dot, R1, R2, R3, 0, 0, 0] - ) return u_dot @@ -1769,7 +1759,7 @@ def u_dot_generalized(self, t, u, post_processing=False): # pylint: disable=too rocket is flying in 6 DOF motion in space and significant mass variation effects exist. Typical flight phases include powered ascent after launch rail. - + Parameters ---------- t : float From 4b9b952e090500a297d046e78522966b0ec207a3 Mon Sep 17 00:00:00 2001 From: Ishan Date: Fri, 27 Jun 2025 04:11:49 +0530 Subject: [PATCH 18/56] MNT: point mass motor cleanup -MNT: removing the parameters not needed for point mass kind of motors -MNT: removing extra parameter thrust_curve -MNT: fixing problems with motor class inheritance --- rocketpy/motors/PointMassMotor.py | 255 +++++++++++++++++++++--------- 1 file changed, 178 insertions(+), 77 deletions(-) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index a9cc3548e..4370ea6b1 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -1,121 +1,222 @@ from functools import cached_property import numpy as np -from ..mathutils.function import Function, funcify_method -from .motor import Motor +import csv +import math +from typing import Callable # Import Callable from the typing module -class PointMassMotor(Motor): +from rocketpy.mathutils.function import Function, funcify_method +from .motor import Motor + +class PointMassMotor(Motor): """Class representing a motor modeled as a point mass. + Inherits from the Motor class and simplifies the model to a thrust-producing - object without detailed structural components.""" + object without detailed structural components. The total mass of the motor + will vary with propellant consumption, similar to a standard motor. However, + its inertia components and the center of propellant mass are considered zero + and fixed at the motor's reference point, respectively. + """ def __init__( self, thrust_source, - dry_mass, - thrust_curve=None, - propellant_initial_mass=None, - propellant_final_mass=None, - burn_time=None, - center_of_dry_mass_position=0, - reshape_thrust_curve=False, - interpolation_method="linear", - coordinate_system_orientation="nozzle_to_combustion_chamber", + dry_mass: float, + propellant_initial_mass: float, # Now explicitly required + burn_time: float = None, + propellant_final_mass: float = None, + reshape_thrust_curve: bool = False, + interpolation_method: str = "linear", ): """Initialize the PointMassMotor class. - + + This motor simplifies the physical model by considering its mass to be + concentrated at a single point, effectively setting all its inertia + components to zero. Propellant mass variation and exhaust velocity + are still simulated and derived from the thrust and propellant consumption + characteristics, similar to the base Motor class. + Parameters ---------- - thrust_source : int, float, callable, string, array, Function - Thrust source similar to the Motor class. + thrust_source : int, float, callable, str, numpy.ndarray, Function + Thrust source. Can be a constant value (int, float), a callable + function of time, a path to a CSV file, a NumPy array, or a + RocketPy `Function` object. dry_mass : float Total dry mass of the motor in kg. - thrust_curve : Function, np.array, or str (csv file), optional - Required if thrust_source is a csv file, Function, or np.array. - propellant_initial_mass : float, optional - Required if thrust_source is a csv file, Function, or np.array. + propellant_initial_mass : float + Initial mass of the propellant in kg. This is a required parameter + as the point mass motor will still simulate propellant consumption. + burn_time : float, optional + Total burn time of the motor in seconds. Required if `thrust_source` + is a constant value or a callable function, and `propellant_final_mass` + is not provided. If `thrust_source` is a CSV, array, or Function, + the burn time is derived from it. propellant_final_mass : float, optional - Required if thrust_source is callable. - burn_time : float or tuple of float, optional - Required if thrust_source is callable or if a thrust value is given. - center_of_dry_mass_position : float, optional - Initial position of the motor, default is 0. - interpolation_method : string, optional - Interpolation method for thrust curve, default is 'linear'. + Final mass of the propellant in kg. Required if `thrust_source` + is a callable function and `burn_time` is not provided. If not + provided, it is calculated by the base Motor class. + reshape_thrust_curve : bool, optional + Whether to reshape the thrust curve to start at t=0 and end at + burn_time. Defaults to False. + interpolation_method : str, optional + Interpolation method for the thrust curve, if applicable. + Defaults to 'linear'. + + Raises + ------ + ValueError + If insufficient data is provided for mass flow rate calculation. + TypeError + If an invalid type is provided for `thrust_source`. """ - if isinstance(thrust_source, (Function, np.ndarray, str)): - if thrust_curve is None or propellant_initial_mass is None: - raise ValueError("thrust_curve and propellant_initial_mass are required for csv, Function, or np.array inputs.") - elif callable(thrust_source): - if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time, propellant_final_mass]): - raise ValueError("thrust_curve, propellant_initial_mass, burn_time, and propellant_final_mass are required for callable inputs.") - elif isinstance(thrust_source, (int, float)): - if any(param is None for param in [thrust_curve, propellant_initial_mass, burn_time]): - raise ValueError("thrust_curve, propellant_initial_mass, and burn_time are required when a thrust value is given.") + # Input validation: Ensure critical parameters for mass flow are present + if isinstance(thrust_source, (int, float, Callable)): + if propellant_initial_mass is None: + raise ValueError( + "For constant or callable thrust, 'propellant_initial_mass' is required." + ) + if burn_time is None and propellant_final_mass is None: + raise ValueError( + "For constant or callable thrust, either 'burn_time' or " + "'propellant_final_mass' must be provided." + ) - self._propellant_initial_mass = propellant_initial_mass + elif isinstance(thrust_source, (Function, np.ndarray, str)): + if propellant_initial_mass is None: + raise ValueError( + "For thrust from a Function, NumPy array, or CSV, 'propellant_initial_mass' is required." + ) + else: + raise TypeError( + "Invalid 'thrust_source' type. Must be int, float, callable, str, numpy.ndarray, or Function." + ) + + self.propellant_initial_mass = propellant_initial_mass + self.propellant_final_mass = propellant_final_mass + + # Call the superclass constructor, passing center_of_dry_mass_position=0 super().__init__( thrust_source=thrust_source, - dry_inertia=(0, 0, 0), - nozzle_radius=0, - center_of_dry_mass_position=center_of_dry_mass_position, + dry_inertia=(0, 0, 0), # Inertia is zero for a point mass + nozzle_radius=0, # Nozzle radius is irrelevant for a point mass model + center_of_dry_mass_position=0, # Pass 0 directly to the superclass dry_mass=dry_mass, - nozzle_position=0, + nozzle_position=0, # Nozzle is at the motor's origin burn_time=burn_time, - reshape_thrust_curve=reshape_thrust_curve, + reshape_thrust_curve=reshape_thrust_curve, # Pass the user-provided value interpolation_method=interpolation_method, - coordinate_system_orientation=coordinate_system_orientation, - ) - @funcify_method("Time (s)", "Thrust (N)") - def thrust(self): - """Returns the thrust of the motor as a function of time.""" - return self.thrust_source - - @funcify_method("Time (s)", "Acceleration (m/s^2)") - def total_mass(self): - """Returns the constant total mass of the point mass motor.""" - return self.dry_mass - - @funcify_method("Time (s)", "Acceleration (m/s^2)") - def acceleration(self): - """Computes the acceleration of the motor as thrust divided by mass.""" - return self.thrust() / self.total_mass + coordinate_system_orientation="nozzle_to_combustion_chamber", # Standard orientation + ) - @funcify_method("Time (s)", "Propellant Mass (kg)") - def center_of_propellant_mass(self): - return 0 + # Removed the thrust method. It will now be inherited directly from the Motor base class, + # which already correctly handles the conversion of thrust_source to a Function + # and exposes it as a cached property. + + # Removed the total_mass override. The base Motor class's total_mass property + # will now correctly calculate dry_mass + propellant_mass(t), which is the desired + # varying mass behavior for the point mass motor. - @funcify_method("Time (s)", "Exhaust Velocity (m/s)") - def exhaust_velocity(self): - return 2000 # m/s, estimated value + # Removed the center_of_dry_mass_position override. It is now passed directly + # to the super().__init__ as 0. + @cached_property @funcify_method("Time (s)", "Propellant Mass (kg)") - def propellant_initial_mass(self): - return self._propellant_initial_mass + def center_of_propellant_mass(self) -> Function: + """Returns the position of the center of mass of the propellant. + + For a point mass motor, the propellant's center of mass is considered + to be at the origin (0) of the motor's coordinate system. - @property - def is_point_mass(self): - return True - + Returns + ------- + Function + A Function object representing the center of propellant mass (always 0). + """ + return 0 + + # Removed exhaust_velocity override. It will now be inherited from the Motor base class, + # which calculates it dynamically based on thrust and mass_flow_rate. + + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_11(self): - return 0 + def propellant_I_11(self) -> Function: + """Returns the propellant moment of inertia around the x-axis. + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ + return 0 + + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_12(self): + def propellant_I_12(self) -> Function: + """Returns the propellant product of inertia I_xy. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_13(self): + def propellant_I_13(self) -> Function: + """Returns the propellant product of inertia I_xz. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_22(self): + def propellant_I_22(self) -> Function: + """Returns the propellant moment of inertia around the y-axis. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_23(self): + def propellant_I_23(self) -> Function: + """Returns the propellant product of inertia I_yz. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 + @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_33(self): + def propellant_I_33(self) -> Function: + """Returns the propellant moment of inertia around the z-axis. + + For a point mass motor, this is always zero. + + Returns + ------- + Function + A Function object representing zero propellant inertia. + """ return 0 From 45380fdeae06aa3c5541d37d0fb5b4c311830347 Mon Sep 17 00:00:00 2001 From: Ishan Date: Tue, 1 Jul 2025 02:26:13 +0530 Subject: [PATCH 19/56] ENH: restructuring rocket class -ENH: removed 'BaseRocket' class now 'PointMassRocket' inherits directly from 'Rocket' class --- rocketpy/__init__.py | 1 - rocketpy/rocket/__init__.py | 1 - rocketpy/rocket/rocket.py | 200 +++++++++++++++++++++--------------- 3 files changed, 118 insertions(+), 84 deletions(-) diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index 3f5b6a99b..a5e6cd299 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -37,7 +37,6 @@ Parachute, RailButtons, Rocket, - BaseRocket, PointMassRocket, Tail, TrapezoidalFins, diff --git a/rocketpy/rocket/__init__.py b/rocketpy/rocket/__init__.py index 1ae442f4d..4019c87b8 100644 --- a/rocketpy/rocket/__init__.py +++ b/rocketpy/rocket/__init__.py @@ -15,5 +15,4 @@ from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute from rocketpy.rocket.rocket import Rocket -from rocketpy.rocket.rocket import BaseRocket from rocketpy.rocket.rocket import PointMassRocket \ No newline at end of file diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 72fcc20be..fc2eca3c5 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -23,89 +23,9 @@ from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute from rocketpy.tools import parallel_axis_theorem_from_com +from functools import cached_property +from rocketpy.mathutils.function import funcify_method -class BaseRocket: - """Base class for a rocket model with minimal attributes and methods.""" - def __init__(self, mass): - self.mass = mass - self.motor = None - def add_motor(self, motor): - self.motor = motor - self.evaluate_total_mass() - def evaluate_total_mass(self): - if self.motor: - return self.mass + self.motor.total_mass - return self.mass - - -class PointMassRocket(BaseRocket): - """Rocket modeled as a point mass for 3-DOF simulations.""" - - def __init__(self, mass, drag_coefficient=0.4, radius=0.05): - super().__init__(mass) - - # Basic configuration - self.drag_coefficient = drag_coefficient - self.radius = radius # in meters - self.area = math.pi * self.radius**2 - - # Coordinate system configuration - self.coordinate_system_orientation = "tail_to_nose" - self.center_of_dry_mass_position = 0 # arbitrary for point mass - self.dry_mass = mass # dry_mass = structure + dry motor, here it's same as base mass - self.nozzle_position = 0 # or another reference point like -1 * length/2 - - # Components - self.parachutes = [] - self._controllers = [] - self.air_brakes = [] - self.sensors = Components() - self.aerodynamic_surfaces = Components() - self.rail_buttons = Components() - self.surfaces_cp_to_cdm = {} - - # Drag models - self.power_on_drag = Function( - drag_coefficient, - "Mach Number", - "Power-On Drag Coefficient", - interpolation="constant" - ) - self.power_off_drag = Function( - drag_coefficient * 1.2, - "Mach Number", - "Power-Off Drag Coefficient", - interpolation="constant" - ) - def add_parachute( - self, name, cd_s, trigger, sampling_rate=100, lag=0, noise=(0, 0, 0) - ): - parachute = Parachute(name, cd_s, trigger, sampling_rate, lag, noise) - self.parachutes.append(parachute) - self.total_mass = None - self.evaluate_total_mass() - return self.parachutes[-1] - - def evaluate_total_mass(self): - """Returns Function of total mass (dry + motor).""" - if self.motor is None: - print("Please associate this rocket with a motor!") - return False - - motor_mass_func = ( - self.motor.total_mass if hasattr(self.motor.total_mass, "get_value_opt") - else Function(lambda t: self.motor.total_mass) - ) - - self.total_mass = Function( - lambda t: self.mass + motor_mass_func(t), - inputs="Time (s)", - outputs="Total Mass (Rocket + Motor + Propellant) (kg)", - title="Total Mass (Rocket + Motor + Propellant)" - ) - return self.total_mass - - # pylint: disable=too-many-instance-attributes, too-many-public-methods, too-many-instance-attributes class Rocket: """Keeps rocket information. @@ -2085,3 +2005,119 @@ def from_dict(cls, data): ) return rocket + +class PointMassRocket(Rocket): + """Rocket modeled as a point mass for 3-DOF simulations.""" + + def __init__(self, mass, radius=0.05): + self, + radius: float = 0, + mass: float = 0, + center_of_mass: float = 0, + power_off_drag = 0, + power_on_drag = 0, + super().__init__( + radius=radius, + mass=mass, + inertia=(0, 0, 0), + center_of_mass_without_motor=center_of_mass, + power_off_drag=power_off_drag, + power_on_drag=power_on_drag, + ) + @cached_property + @funcify_method("Time (s)", "I_xx (kg·m²)") + def I_11(self) -> Function: + """Returns the moment of inertia around the x-axis for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_22 (kg·m²)") + def I_22(self) -> Function: + """Returns the moment of inertia around the y-axis for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_33 (kg·m²)") + def I_33(self) -> Function: + """Returns the moment of inertia around the z-axis for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_12 (kg·m²)") + def I_12(self) -> Function: + """Returns the product of inertia I_xy for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_13 (kg·m²)") + def I_13(self) -> Function: + """Returns the product of inertia I_xz for a point mass (always 0).""" + return Function(0) + + @cached_property + @funcify_method("Time (s)", "I_23 (kg·m²)") + def I_23(self) -> Function: + """Returns the product of inertia I_yz for a point mass (always 0).""" + return Function(0) + + @property + def dry_I_11(self) -> float: + """Returns the dry moment of inertia around the x-axis for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_22(self) -> float: + """Returns the dry moment of inertia around the y-axis for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_33(self) -> float: + """Returns the dry moment of inertia around the z-axis for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_12(self) -> float: + """Returns the dry product of inertia I_xy for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_13(self) -> float: + """Returns the dry product of inertia I_xz for a point mass (always 0).""" + return 0.0 + + @property + def dry_I_23(self) -> float: + """Returns the dry product of inertia I_yz for a point mass (always 0).""" + return 0.0 + + def evaluate_inertias(self): + """Calculates and returns the rocket's inertias. For a PointMassRocket, these are always zero.""" + self.I_11 = self.I_22 = self.I_33 = Function(0) + self.I_12 = self.I_13 = self.I_23 = Function(0) + return (0, 0, 0, 0, 0, 0) + + def evaluate_dry_inertias(self): + """Calculates and returns the rocket's dry inertias. For a PointMassRocket, these are always zero.""" + self.dry_I_11 = self.dry_I_22 = self.dry_I_33 = 0.0 + self.dry_I_12 = self.dry_I_13 = self.dry_I_23 = 0.0 + return (0, 0, 0, 0, 0, 0) + + @property + def center_of_mass(self) -> Function: + """Returns the center of mass for a PointMassRocket. + If a motor is attached, this will be the motor's center of mass. + Otherwise, it will be the `center_of_mass_without_motor`. + """ + if self.motor and not isinstance(self.motor, EmptyMotor): + return self.motor_center_of_mass_position + return Function(self.center_of_mass_without_motor) + + @property + def center_of_dry_mass_position(self) -> float: + """Returns the center of dry mass position for a PointMassRocket. + If a motor is attached, this will be the motor's center of dry mass position. + Otherwise, it will be the `center_of_mass_without_motor`. + """ + if self.motor and not isinstance(self.motor, EmptyMotor): + return self.motor_center_of_dry_mass_position + return self.center_of_mass_without_motor From 5cd1535e131271478d65963098e06a1ca1b3e0a7 Mon Sep 17 00:00:00 2001 From: Ishan Date: Fri, 11 Jul 2025 23:45:52 +0530 Subject: [PATCH 20/56] MNT: fixing certain calculations on point mass motor -MNT: fixed calculations of mass flow rate and exhaust velocity -MNT: adjusted propellant initial mass setter error by allocating the input initial mass to the property --- rocketpy/motors/PointMassMotor.py | 84 +++++++++++++++++++++++-------- 1 file changed, 64 insertions(+), 20 deletions(-) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/PointMassMotor.py index 4370ea6b1..9252127b9 100644 --- a/rocketpy/motors/PointMassMotor.py +++ b/rocketpy/motors/PointMassMotor.py @@ -20,12 +20,12 @@ class PointMassMotor(Motor): def __init__( self, thrust_source, - dry_mass: float, - propellant_initial_mass: float, # Now explicitly required - burn_time: float = None, - propellant_final_mass: float = None, - reshape_thrust_curve: bool = False, - interpolation_method: str = "linear", + dry_mass, + propellant_initial_mass, + burn_time = None, + propellant_final_mass = None, + reshape_thrust_curve = False, + interpolation_method = "linear", ): """Initialize the PointMassMotor class. @@ -69,7 +69,6 @@ def __init__( TypeError If an invalid type is provided for `thrust_source`. """ - # Input validation: Ensure critical parameters for mass flow are present if isinstance(thrust_source, (int, float, Callable)): if propellant_initial_mass is None: raise ValueError( @@ -91,10 +90,9 @@ def __init__( "Invalid 'thrust_source' type. Must be int, float, callable, str, numpy.ndarray, or Function." ) - self.propellant_initial_mass = propellant_initial_mass + self._propellant_initial_mass = propellant_initial_mass self.propellant_final_mass = propellant_final_mass - # Call the superclass constructor, passing center_of_dry_mass_position=0 super().__init__( thrust_source=thrust_source, dry_inertia=(0, 0, 0), # Inertia is zero for a point mass @@ -103,7 +101,7 @@ def __init__( dry_mass=dry_mass, nozzle_position=0, # Nozzle is at the motor's origin burn_time=burn_time, - reshape_thrust_curve=reshape_thrust_curve, # Pass the user-provided value + reshape_thrust_curve=reshape_thrust_curve, interpolation_method=interpolation_method, coordinate_system_orientation="nozzle_to_combustion_chamber", # Standard orientation ) @@ -118,10 +116,59 @@ def __init__( # Removed the center_of_dry_mass_position override. It is now passed directly # to the super().__init__ as 0. + @property + def propellant_initial_mass(self): + """Returns the initial propellant mass for a point mass motor. + + This property retrieves the value set during initialization. This implementation + is required as 'propellant_initial_mass' is an abstract method in the parent Motor class. + + Returns + ------- + float + Propellant initial mass in kg. + """ + return self._propellant_initial_mass + + @funcify_method("Time (s)", "Exhaust velocity (m/s)") + def exhaust_velocity(self): + """Exhaust velocity by assuming it as a constant. The formula used is + total impulse/propellant initial mass. + + Returns + ------- + self.exhaust_velocity : Function + Gas exhaust velocity of the motor. + + Notes + ----- + This corresponds to the actual exhaust velocity only when the nozzle + exit pressure equals the atmospheric pressure. + """ + return Function( + self.total_impulse / self.propellant_initial_mass + ).set_discrete_based_on_model(self.thrust) + + @cached_property + @funcify_method("Time (s)", "Mass flow rate (kg/s)", extrapolation="zero") + def total_mass_flow_rate(self) -> Function: + """Time derivative of the propellant mass as a function of time. + + It calculates mass flow rate as the negative of thrust divided by exhaust velocity, + consistent with the fundamental rocket equation. + + Returns + ------- + Function + Time derivative of total propellant mass a function of time. + """ + + exhaust_vel_func = self.exhaust_velocity + return -self.thrust / exhaust_vel_func @cached_property @funcify_method("Time (s)", "Propellant Mass (kg)") - def center_of_propellant_mass(self) -> Function: + def center_of_propellant_mass(self): """Returns the position of the center of mass of the propellant. For a point mass motor, the propellant's center of mass is considered @@ -134,12 +181,9 @@ def center_of_propellant_mass(self) -> Function: """ return 0 - # Removed exhaust_velocity override. It will now be inherited from the Motor base class, - # which calculates it dynamically based on thrust and mass_flow_rate. - @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_11(self) -> Function: + def propellant_I_11(self): """Returns the propellant moment of inertia around the x-axis. For a point mass motor, this is always zero. @@ -153,7 +197,7 @@ def propellant_I_11(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_12(self) -> Function: + def propellant_I_12(self): """Returns the propellant product of inertia I_xy. For a point mass motor, this is always zero. @@ -167,7 +211,7 @@ def propellant_I_12(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_13(self) -> Function: + def propellant_I_13(self): """Returns the propellant product of inertia I_xz. For a point mass motor, this is always zero. @@ -181,7 +225,7 @@ def propellant_I_13(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_22(self) -> Function: + def propellant_I_22(self): """Returns the propellant moment of inertia around the y-axis. For a point mass motor, this is always zero. @@ -195,7 +239,7 @@ def propellant_I_22(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_23(self) -> Function: + def propellant_I_23(self): """Returns the propellant product of inertia I_yz. For a point mass motor, this is always zero. @@ -209,7 +253,7 @@ def propellant_I_23(self) -> Function: @cached_property @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_33(self) -> Function: + def propellant_I_33(self): """Returns the propellant moment of inertia around the z-axis. For a point mass motor, this is always zero. From 1e590c2b8bae511d5ca8552510939dcb397b84f0 Mon Sep 17 00:00:00 2001 From: Ishan <99824864+aZira371@users.noreply.github.com> Date: Fri, 11 Jul 2025 23:51:29 +0530 Subject: [PATCH 21/56] Rename PointMassMotor.py to pointmassmotor.py MNT: renaming pointmassmotor.py -MNT:snake case renaming --- rocketpy/motors/{PointMassMotor.py => pointmassmotor.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename rocketpy/motors/{PointMassMotor.py => pointmassmotor.py} (100%) diff --git a/rocketpy/motors/PointMassMotor.py b/rocketpy/motors/pointmassmotor.py similarity index 100% rename from rocketpy/motors/PointMassMotor.py rename to rocketpy/motors/pointmassmotor.py From 981dda578eb390604c7e4acadd750c604485e0d5 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> Date: Thu, 19 Jun 2025 20:56:36 -0300 Subject: [PATCH 22/56] ENH: _MotorPrints inheritance - issue #460 (#828) * ENH: refactor motor prints classes to inherit from _MotorPrints * STY: make format * ENH: add entry for _MotorPrints inheritance in changelog --- CHANGELOG.md | 1 + rocketpy/mathutils/function.py | 2 +- rocketpy/prints/hybrid_motor_prints.py | 27 +++--------------- rocketpy/prints/liquid_motor_prints.py | 28 ++++--------------- rocketpy/prints/solid_motor_prints.py | 28 ++++--------------- .../integration/test_environment_analysis.py | 1 + 6 files changed, 17 insertions(+), 70 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 28586a1b7..c3f1217db 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -35,6 +35,7 @@ Attention: The newest changes should be on top --> ### Changed +- ENH: _MotorPrints inheritance - issue #460 [#828](https://github.com/RocketPy-Team/RocketPy/pull/828) ### Fixed diff --git a/rocketpy/mathutils/function.py b/rocketpy/mathutils/function.py index e60b39286..221974ca8 100644 --- a/rocketpy/mathutils/function.py +++ b/rocketpy/mathutils/function.py @@ -10,10 +10,10 @@ from bisect import bisect_left from collections.abc import Iterable from copy import deepcopy +from enum import Enum from functools import cached_property from inspect import signature from pathlib import Path -from enum import Enum import matplotlib.pyplot as plt import numpy as np diff --git a/rocketpy/prints/hybrid_motor_prints.py b/rocketpy/prints/hybrid_motor_prints.py index d527042a3..6f086a162 100644 --- a/rocketpy/prints/hybrid_motor_prints.py +++ b/rocketpy/prints/hybrid_motor_prints.py @@ -1,7 +1,9 @@ import numpy as np +from .motor_prints import _MotorPrints -class _HybridMotorPrints: + +class _HybridMotorPrints(_MotorPrints): """Class that holds prints methods for HybridMotor class. Attributes @@ -26,6 +28,7 @@ def __init__( ------- None """ + super().__init__(hybrid_motor) self.hybrid_motor = hybrid_motor def nozzle_details(self): @@ -63,28 +66,6 @@ def grain_details(self): print(f"Grain Volume: {self.hybrid_motor.solid.grain_initial_volume:.3f} m3") print(f"Grain Mass: {self.hybrid_motor.solid.grain_initial_mass:.3f} kg\n") - def motor_details(self): - """Prints out all data available about the HybridMotor. - - Returns - ------- - None - """ - print("Motor Details") - print(f"Total Burning Time: {self.hybrid_motor.burn_duration} s") - print( - f"Total Propellant Mass: {self.hybrid_motor.propellant_initial_mass:.3f} kg" - ) - print(f"Structural Mass Ratio: {self.hybrid_motor.structural_mass_ratio:.3f}") - avg = self.hybrid_motor.exhaust_velocity.average(*self.hybrid_motor.burn_time) - print(f"Average Propellant Exhaust Velocity: {avg:.3f} m/s") - print(f"Average Thrust: {self.hybrid_motor.average_thrust:.3f} N") - print( - f"Maximum Thrust: {self.hybrid_motor.max_thrust} N at " - f"{self.hybrid_motor.max_thrust_time} s after ignition." - ) - print(f"Total Impulse: {self.hybrid_motor.total_impulse:.3f} Ns\n") - def all(self): """Prints out all data available about the HybridMotor. diff --git a/rocketpy/prints/liquid_motor_prints.py b/rocketpy/prints/liquid_motor_prints.py index 4c80326ab..7411ca59a 100644 --- a/rocketpy/prints/liquid_motor_prints.py +++ b/rocketpy/prints/liquid_motor_prints.py @@ -1,4 +1,7 @@ -class _LiquidMotorPrints: +from .motor_prints import _MotorPrints + + +class _LiquidMotorPrints(_MotorPrints): """Class that holds prints methods for LiquidMotor class. Attributes @@ -23,6 +26,7 @@ def __init__( ------- None """ + super().__init__(liquid_motor) self.liquid_motor = liquid_motor def nozzle_details(self): @@ -35,28 +39,6 @@ def nozzle_details(self): print("Nozzle Details") print("Nozzle Radius: " + str(self.liquid_motor.nozzle_radius) + " m\n") - def motor_details(self): - """Prints out all data available about the motor. - - Returns - ------- - None - """ - print("Motor Details") - print(f"Total Burning Time: {self.liquid_motor.burn_duration} s") - print( - f"Total Propellant Mass: {self.liquid_motor.propellant_initial_mass:.3f} kg" - ) - print(f"Structural Mass Ratio: {self.liquid_motor.structural_mass_ratio:.3f}") - avg = self.liquid_motor.exhaust_velocity.average(*self.liquid_motor.burn_time) - print(f"Average Propellant Exhaust Velocity: {avg:.3f} m/s") - print(f"Average Thrust: {self.liquid_motor.average_thrust:.3f} N") - print( - f"Maximum Thrust: {self.liquid_motor.max_thrust} N at " - f"{self.liquid_motor.max_thrust_time} s after ignition." - ) - print(f"Total Impulse: {self.liquid_motor.total_impulse:.3f} Ns\n") - def all(self): """Prints out all data available about the LiquidMotor. diff --git a/rocketpy/prints/solid_motor_prints.py b/rocketpy/prints/solid_motor_prints.py index 6f4c28d5b..16ef5dc38 100644 --- a/rocketpy/prints/solid_motor_prints.py +++ b/rocketpy/prints/solid_motor_prints.py @@ -1,4 +1,7 @@ -class _SolidMotorPrints: +from .motor_prints import _MotorPrints + + +class _SolidMotorPrints(_MotorPrints): """Class that holds prints methods for SolidMotor class. Attributes @@ -23,6 +26,7 @@ def __init__( ------- None """ + super().__init__(solid_motor) self.solid_motor = solid_motor def nozzle_details(self): @@ -53,28 +57,6 @@ def grain_details(self): print(f"Grain Volume: {self.solid_motor.grain_initial_volume:.3f} m3") print(f"Grain Mass: {self.solid_motor.grain_initial_mass:.3f} kg\n") - def motor_details(self): - """Prints out all data available about the SolidMotor. - - Returns - ------- - None - """ - print("Motor Details") - print("Total Burning Time: " + str(self.solid_motor.burn_duration) + " s") - print( - f"Total Propellant Mass: {self.solid_motor.propellant_initial_mass:.3f} kg" - ) - print(f"Structural Mass Ratio: {self.solid_motor.structural_mass_ratio:.3f}") - average = self.solid_motor.exhaust_velocity.average(*self.solid_motor.burn_time) - print(f"Average Propellant Exhaust Velocity: {average:.3f} m/s") - print(f"Average Thrust: {self.solid_motor.average_thrust:.3f} N") - print( - f"Maximum Thrust: {self.solid_motor.max_thrust} N " - f"at {self.solid_motor.max_thrust_time} s after ignition." - ) - print(f"Total Impulse: {self.solid_motor.total_impulse:.3f} Ns\n") - def all(self): """Prints out all data available about the SolidMotor. diff --git a/tests/integration/test_environment_analysis.py b/tests/integration/test_environment_analysis.py index e6043c85a..2b12a2057 100644 --- a/tests/integration/test_environment_analysis.py +++ b/tests/integration/test_environment_analysis.py @@ -4,6 +4,7 @@ import matplotlib as plt import pytest + from rocketpy import Environment plt.rcParams.update({"figure.max_open_warning": 0}) From 5c75298323489d70c85f7764de651fdffc5b9bd9 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> Date: Fri, 20 Jun 2025 03:50:45 -0300 Subject: [PATCH 23/56] MNT: fix deprecations and warnings (#829) * MNT: update code and remove deprecated functions * MNT: simplify geodesic_to_utm import and usage in Environment class * MNT: update CHANGELOG to fix deprecations and warnings * make lint * MNT: remove unused post_processed attribute from Flight class * MNT: update matplotlib version to 3.8.3 in requirements.txt * MNT: update matplotlib version to 3.10.0 in requirements.txt * MNT: downgrade matplotlib version to 3.9.0 in requirements.txt * MNT: change boxplot orientation to horizontal for compatibility with future Python versions * MNT: change boxplot orientation from horizontal to vertical for consistency --- CHANGELOG.md | 4 +- requirements.txt | 2 +- rocketpy/environment/environment.py | 98 +--------------------- rocketpy/motors/motor.py | 2 +- rocketpy/plots/monte_carlo_plots.py | 1 + rocketpy/rocket/aero_surface/air_brakes.py | 3 +- rocketpy/simulation/flight.py | 35 ++------ rocketpy/utilities.py | 92 -------------------- tests/acceptance/test_bella_lui_rocket.py | 1 - tests/unit/test_environment.py | 5 +- 10 files changed, 20 insertions(+), 223 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index c3f1217db..dce368bc8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -37,6 +37,8 @@ Attention: The newest changes should be on top --> - ENH: _MotorPrints inheritance - issue #460 [#828](https://github.com/RocketPy-Team/RocketPy/pull/828) +- MNT: fix deprecations and warnings [#829](https://github.com/RocketPy-Team/RocketPy/pull/829) + ### Fixed @@ -45,7 +47,7 @@ Attention: The newest changes should be on top --> ### Added - ENH: Support for ND arithmetic in Function class. [#810] (https://github.com/RocketPy-Team/RocketPy/pull/810) - ENH: allow users to provide custom samplers [#803](https://github.com/RocketPy-Team/RocketPy/pull/803) -- ENH: Implement Multivariate Rejection Sampling (MRS) [#738] (https://github.com/RocketPy-Team/RocketPy/pull/738) +- ENH: Implement Multivariate Rejection Sampling (MRS) [#738] (https://github.com/RocketPy-Team/RocketPy/pull/738) - ENH: Create a rocketpy file to store flight simulations [#800](https://github.com/RocketPy-Team/RocketPy/pull/800) - ENH: Support for the RSE file format has been added to the library [#798](https://github.com/RocketPy-Team/RocketPy/pull/798) - ENH: Introduce Net Thrust with pressure corrections [#789](https://github.com/RocketPy-Team/RocketPy/pull/789) diff --git a/requirements.txt b/requirements.txt index 68aebe503..61a594320 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ numpy>=1.13 scipy>=1.0 -matplotlib>=3.0 +matplotlib>=3.9.0 # Released May 15th 2024 netCDF4>=1.6.4 requests pytz diff --git a/rocketpy/environment/environment.py b/rocketpy/environment/environment.py index a0a8c4238..06171d600 100644 --- a/rocketpy/environment/environment.py +++ b/rocketpy/environment/environment.py @@ -27,6 +27,7 @@ find_latitude_index, find_longitude_index, find_time_index, + geodesic_to_utm, get_elevation_data_from_dataset, get_final_date_from_time_array, get_initial_date_from_time_array, @@ -34,8 +35,6 @@ get_pressure_levels_from_file, mask_and_clean_dataset, ) -from rocketpy.environment.tools import geodesic_to_utm as geodesic_to_utm_tools -from rocketpy.environment.tools import utm_to_geodesic as utm_to_geodesic_tools from rocketpy.environment.weather_model_mapping import WeatherModelMapping from rocketpy.mathutils.function import NUMERICAL_TYPES, Function, funcify_method from rocketpy.plots.environment_plots import _EnvironmentPlots @@ -451,7 +450,7 @@ def __initialize_utm_coordinates(self): self.initial_utm_letter, self.initial_hemisphere, self.initial_ew, - ) = self.geodesic_to_utm( + ) = geodesic_to_utm( lat=self.latitude, lon=self.longitude, flattening=self.ellipsoid.flattening, @@ -2523,98 +2522,7 @@ def set_earth_geometry(self, datum): f"the following recognized datum: {available_datums}" ) from e - # Auxiliary functions - Geodesic Coordinates - - @staticmethod - def geodesic_to_utm( - lat, lon, semi_major_axis=6378137.0, flattening=1 / 298.257223563 - ): - """Function which converts geodetic coordinates, i.e. lat/lon, to UTM - projection coordinates. Can be used only for latitudes between -80.00° - and 84.00° - - Parameters - ---------- - lat : float - The latitude coordinates of the point of analysis, must be contained - between -80.00° and 84.00° - lon : float - The longitude coordinates of the point of analysis, must be - contained between -180.00° and 180.00° - semi_major_axis : float - The semi-major axis of the ellipsoid used to represent the Earth, - must be given in meters (default is 6,378,137.0 m, which corresponds - to the WGS84 ellipsoid) - flattening : float - The flattening of the ellipsoid used to represent the Earth, usually - between 1/250 and 1/150 (default is 1/298.257223563, which - corresponds to the WGS84 ellipsoid) - - Returns - ------- - x : float - East coordinate, always positive - y : float - North coordinate, always positive - utm_zone : int - The number of the UTM zone of the point of analysis, can vary - between 1 and 60 - utm_letter : string - The letter of the UTM zone of the point of analysis, can vary - between C and X, omitting the letters "I" and "O" - hemis : string - Returns "S" for southern hemisphere and "N" for Northern hemisphere - EW : string - Returns "W" for western hemisphere and "E" for eastern hemisphere - """ - warnings.warn( - "This function is deprecated and will be removed in v1.10.0. " - "Please use the new method `tools.geodesic_to_utm` instead.", - DeprecationWarning, - ) - return geodesic_to_utm_tools(lat, lon, semi_major_axis, flattening) - - @staticmethod - def utm_to_geodesic( - x, y, utm_zone, hemis, semi_major_axis=6378137.0, flattening=1 / 298.257223563 - ): - """Function to convert UTM coordinates to geodesic coordinates - (i.e. latitude and longitude). - - Parameters - ---------- - x : float - East UTM coordinate in meters - y : float - North UTM coordinate in meters - utm_zone : int - The number of the UTM zone of the point of analysis, can vary - between 1 and 60 - hemis : string - Equals to "S" for southern hemisphere and "N" for Northern - hemisphere - semi_major_axis : float - The semi-major axis of the ellipsoid used to represent the Earth, - must be given in meters (default is 6,378,137.0 m, which corresponds - to the WGS84 ellipsoid) - flattening : float - The flattening of the ellipsoid used to represent the Earth, usually - between 1/250 and 1/150 (default is 1/298.257223563, which - corresponds to the WGS84 ellipsoid) - - Returns - ------- - lat : float - latitude of the analyzed point - lon : float - latitude of the analyzed point - """ - warnings.warn( - "This function is deprecated and will be removed in v1.10.0. " - "Please use the new method `tools.utm_to_geodesic` instead.", - DeprecationWarning, - ) - return utm_to_geodesic_tools(x, y, utm_zone, hemis, semi_major_axis, flattening) + # Auxiliary functions @staticmethod def calculate_earth_radius( diff --git a/rocketpy/motors/motor.py b/rocketpy/motors/motor.py index 7178cdcf5..1cb659d4f 100644 --- a/rocketpy/motors/motor.py +++ b/rocketpy/motors/motor.py @@ -1151,7 +1151,7 @@ def vacuum_thrust(self): Returns ------- vacuum_thrust : Function - The rocket's thrust in a vaccum. + The rocket's thrust in a vacuum. """ if self.reference_pressure is None: warnings.warn( diff --git a/rocketpy/plots/monte_carlo_plots.py b/rocketpy/plots/monte_carlo_plots.py index cfb865c5f..114858252 100644 --- a/rocketpy/plots/monte_carlo_plots.py +++ b/rocketpy/plots/monte_carlo_plots.py @@ -183,6 +183,7 @@ def all(self, keys=None): ax2 = fig.add_subplot(gs[1]) # Plot boxplot + # TODO: changes vert to orientation="horizontal" when support for Py3.9 ends ax1.boxplot(self.monte_carlo.results[key], vert=False) ax1.set_title(f"Box Plot of {key}") ax1.set_yticks([]) diff --git a/rocketpy/rocket/aero_surface/air_brakes.py b/rocketpy/rocket/aero_surface/air_brakes.py index ee4830808..d0eb733d5 100644 --- a/rocketpy/rocket/aero_surface/air_brakes.py +++ b/rocketpy/rocket/aero_surface/air_brakes.py @@ -131,7 +131,8 @@ def deployment_level(self, value): warnings.warn( f"Deployment level of {self.name} is smaller than 0 or " + "larger than 1. Extrapolation for the drag coefficient " - + "curve will be used." + + "curve will be used.", + UserWarning, ) self._deployment_level = value diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 339ab16ad..e1c2cc05e 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -155,8 +155,6 @@ class Flight: Current integration time. Flight.y : list Current integration state vector u. - Flight.post_processed : bool - Defines if solution data has been post processed. Flight.initial_solution : list List defines initial condition - [tInit, x_init, y_init, z_init, vx_init, vy_init, vz_init, e0_init, e1_init, @@ -1104,7 +1102,6 @@ def __init_solution_monitors(self): self.impact_velocity = 0 self.impact_state = np.array([0]) self.parachute_events = [] - self.post_processed = False self.__post_processed_variables = [] def __init_flight_state(self): @@ -3080,14 +3077,16 @@ def __calculate_rail_button_forces(self): # TODO: complex method. null_force = Function(0) if self.out_of_rail_time_index == 0: # No rail phase, no rail button forces warnings.warn( - "Trying to calculate rail button forces without a rail phase defined." - + "The rail button forces will be set to zero." + "Trying to calculate rail button forces without a rail phase defined. " + + "The rail button forces will be set to zero.", + UserWarning, ) return null_force, null_force, null_force, null_force if len(self.rocket.rail_buttons) == 0: warnings.warn( - "Trying to calculate rail button forces without rail buttons defined." - + "The rail button forces will be set to zero." + "Trying to calculate rail button forces without rail buttons defined. " + + "The rail button forces will be set to zero.", + UserWarning, ) return null_force, null_force, null_force, null_force @@ -3199,28 +3198,6 @@ def __evaluate_post_process(self): return np.array(self.__post_processed_variables) - def post_process(self, interpolation="spline", extrapolation="natural"): - """This method is **deprecated** and is only kept here for backwards - compatibility. All attributes that need to be post processed are - computed just in time. - - Post-process all Flight information produced during - simulation. Includes the calculation of maximum values, - calculation of secondary values such as energy and conversion - of lists to Function objects to facilitate plotting. - - Returns - ------- - None - """ - # pylint: disable=unused-argument - warnings.warn( - "The method post_process is deprecated and will be removed in v1.10. " - "All attributes that need to be post processed are computed just in time.", - DeprecationWarning, - ) - self.post_processed = True - def calculate_stall_wind_velocity(self, stall_angle): # TODO: move to utilities """Function to calculate the maximum wind velocity before the angle of attack exceeds a desired angle, at the instant of departing rail launch. diff --git a/rocketpy/utilities.py b/rocketpy/utilities.py index 3ed81df41..9ec707ffe 100644 --- a/rocketpy/utilities.py +++ b/rocketpy/utilities.py @@ -1,8 +1,6 @@ -import ast import inspect import json import os -import traceback import warnings from datetime import date from importlib.metadata import version @@ -444,96 +442,6 @@ def _flutter_prints( print(f"Altitude of minimum Safety Factor: {altitude_min_sf:.3f} m (AGL)\n") -def create_dispersion_dictionary(filename): # pragma: no cover - """Creates a dictionary with the rocket data provided by a .csv file. - File should be organized in four columns: attribute_class, parameter_name, - mean_value, standard_deviation. The first row should be the header. - It is advised to use ";" as separator, but "," should work on most of cases. - The "," separator might cause problems if the data set contains lists where - the items are separated by commas. - - Parameters - ---------- - filename : string - String with the path to the .csv file. The file should follow the - following structure: - - .. code-block:: - - attribute_class; parameter_name; mean_value; standard_deviation; - - environment; ensemble_member; [0, 1, 2, 3, 4, 5, 6, 7, 8, 9];; - - motor; impulse; 1415.15; 35.3; - - motor; burn_time; 5.274; 1; - - motor; nozzle_radius; 0.021642; 0.0005; - - motor; throat_radius; 0.008; 0.0005; - - motor; grain_separation; 0.006; 0.001; - - motor; grain_density; 1707; 50; - - Returns - ------- - dictionary - Dictionary with all rocket data to be used in dispersion analysis. The - dictionary will follow the following structure: - - .. code-block:: python - - analysis_parameters = { - 'environment': { - 'ensemble_member': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] - }, - 'motor': { - 'impulse': (1415.15, 35.3), - 'burn_time': (5.274, 1), - 'nozzle_radius': (0.021642, 0.0005), - 'throat_radius': (0.008, 0.0005), - 'grain_separation': (0.006, 0.001), - 'grain_density': (1707, 50), - } - } - """ - warnings.warn( - "This function is deprecated and will be removed in v1.10.0.", - DeprecationWarning, - ) - try: - file = np.genfromtxt( - filename, usecols=(1, 2, 3), skip_header=1, delimiter=";", dtype=str - ) - except ValueError: - warnings.warn( - "Error caught: the recommended delimiter is ';'. If using ',' " - "instead, be aware that some resources might not work as " - "expected if your data set contains lists where the items are " - "separated by commas. Please consider changing the delimiter to " - "';' if that is the case." - ) - warnings.warn(traceback.format_exc()) - file = np.genfromtxt( - filename, usecols=(1, 2, 3), skip_header=1, delimiter=",", dtype=str - ) - analysis_parameters = {} - for row in file: - if row[0] != "": - if row[2] == "": - try: - analysis_parameters[row[0].strip()] = float(row[1]) - except ValueError: - analysis_parameters[row[0].strip()] = ast.literal_eval(row[1]) - else: - try: - analysis_parameters[row[0].strip()] = (float(row[1]), float(row[2])) - except ValueError: - analysis_parameters[row[0].strip()] = "" - return analysis_parameters - - def apogee_by_mass(flight, min_mass, max_mass, points=10, plot=True): """Returns a Function object that estimates the apogee of a rocket given its mass (no motor). The function will use the rocket's mass as the diff --git a/tests/acceptance/test_bella_lui_rocket.py b/tests/acceptance/test_bella_lui_rocket.py index 76f2b4fde..a67547780 100644 --- a/tests/acceptance/test_bella_lui_rocket.py +++ b/tests/acceptance/test_bella_lui_rocket.py @@ -182,7 +182,6 @@ def drogue_trigger(p, h, y): inclination=parameters.get("inclination")[0], heading=parameters.get("heading")[0], ) - test_flight.post_process() # Comparison with Real Data flight_data = np.loadtxt( diff --git a/tests/unit/test_environment.py b/tests/unit/test_environment.py index 714470a40..6ad3e51db 100644 --- a/tests/unit/test_environment.py +++ b/tests/unit/test_environment.py @@ -6,6 +6,7 @@ import pytz from rocketpy import Environment +from rocketpy.environment.tools import geodesic_to_utm, utm_to_geodesic @pytest.mark.parametrize( @@ -78,7 +79,7 @@ def test_geodesic_coordinate_geodesic_to_utm_converts_coordinate(): utm_letter, north_south_hemis, east_west_hemis, - ) = Environment.geodesic_to_utm( + ) = geodesic_to_utm( lat=32.990254, lon=-106.974998, semi_major_axis=6378137.0, # WGS84 @@ -98,7 +99,7 @@ class and checks the conversion results from UTM to geodesic coordinates. """ - lat, lon = Environment.utm_to_geodesic( + lat, lon = utm_to_geodesic( x=315468.64, y=3651938.65, utm_zone=13, From 70f24ee71229b6c6c648e03e1b99f8debba3da5f Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Fri, 20 Jun 2025 06:55:03 -0300 Subject: [PATCH 24/56] DEV: streamline caching of Python dependencies in GitHub Actions --- .github/workflows/test_pytest.yaml | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/.github/workflows/test_pytest.yaml b/.github/workflows/test_pytest.yaml index 97fb068cc..947a494b9 100644 --- a/.github/workflows/test_pytest.yaml +++ b/.github/workflows/test_pytest.yaml @@ -29,14 +29,11 @@ jobs: uses: actions/setup-python@main with: python-version: ${{ matrix.python-version }} - - - name: Cache Python dependencies - uses: actions/cache@main - with: - path: ~/.cache/pip - key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements-tests.txt') }} - restore-keys: | - ${{ runner.os }}-pip- + cache: 'pip' + cache-dependency-path: | + requirements.txt + requirements-tests.txt + requirements-optional.txt - name: Install rocketpy run: pip install . From 0cb099478dd880b74872e3a6c35a017732fbd976 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kevin=20Alca=C3=B1iz?= Date: Fri, 4 Jul 2025 17:06:53 +0200 Subject: [PATCH 25/56] ENH: Add the Coriolis Force to the Flight class (#799) * wind factor bug corrected the wind factor wasn't applied to the env.wind_velocity properties * BUG: StochasticModel visualize attributes of a uniform distribution It showed the nominal and the standard deviation values and it doesn't make sense in a uniform distribution. In a np.random.uniform the 'nominal value' is the lower bound of the distribution, and the 'standard deviation' value is the upper bound. Now, a new condition has been added for the uniform distributions where the mean and semi range are calculated and showed. This way the visualize_attribute function will show the whole range where the random values are uniformly taken in * variable names corrections * Corrections requested by the pylint test * ENH: add multiplication for 2D functions in rocketpy.function Added the ability to multiply functions with 2D domains in the __mul__ function * ENH: StochasticAirBrakes class created The StochasticAirBrakes class has been created. The __init__.py files in the stochastic and rocketpy folders have also been modified accordingly to incorporate this new class * ENH: set_air_brakes function created This functions appends an airbrake and controller objects previuosly created to the rocket * ENH: add StochasticAirBrake to rocketpy.stochastic_rocket Some functions has been modified and other has been created in order to include the new StochasticAirBrakes feature into the StochasticRocket class. A new function named 'add_air_brakes' has been created to append a StochasticAirBrakes and Controller objects to the StochasticRocket object. A new function '_create_air_brake' has been introduced to create a sample of an AirBrake object through a StochasticAirBrake object. Enventually, the 'create_object' function has been modified to add the sampled AirBrakes to the sampled Rocket * BUG: StochasticAirBrake object input in _Controller When defining the _Controller object a StochasticAirBrake was input. This is already corrected and a AirBrake object is now introduced * ENH: add time_overshoot option to rocketpy.stochastic_flight Since the new StochasticAirBrake class is defined, we need the 'time_overshoot' option in the Flight class to ensure that the time step defined in the simulation is the controller sampling rate. The MonteCarlo class has had to be modified as well to include this option. * DOC: StochasticAirBrakes related documentation added Documentation related to the StochasticAirBrakes implementation has been added in StochasticAirBrakes, StochasticRocket and Rocket classes. * ENH: pylint recommendations done * ENH: Reformatted files to pass Ruff linting checks * ENH: Update rocketpy/stochastic/stochastic_rocket.py Unnecessary comment Co-authored-by: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> * ENH: more intuitive uniform distribution display in StochasticModel Co-authored-by: MateusStano <69485049+MateusStano@users.noreply.github.com> * DOC: improve drag curve factor definition in StochasticAirBrakes * ENH: Change assert statement to if Co-authored-by: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> * DOC: better explanation of __mul__ function Co-authored-by: MateusStano <69485049+MateusStano@users.noreply.github.com> * ENH: delete set_air_brakes function for simplicity * ENH: inertial foreces added to u_dot_generalized * ENH: define Earth's angular velocity vector in Environment * ENH: some corrections to the Flight class * ENH: modifications in the Flight class * DOC: improving Environment documentation * DOC: more improvements in the Environment class * ENH: format changes done * DOC: env.earth_rotation_vector improved Co-authored-by: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> * ENH: Coriolis acceleration added to u_dot * BUG: print left * ENH: ruff changes * ENH: CHANGELOG updated * ENH: remove unecessary frame rotation * ENH: remove rotation from solid prop udot * ENH: add coriolis to parachute * TST: fix tests values * MNT: remove debug functions * DEV: changelog --------- Co-authored-by: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> Co-authored-by: MateusStano <69485049+MateusStano@users.noreply.github.com> Co-authored-by: MateusStano Co-authored-by: MateusStano --- CHANGELOG.md | 2 +- rocketpy/environment/environment.py | 20 ++++++++++++++++++++ rocketpy/simulation/flight.py | 21 +++++++++++++++++---- tests/integration/test_flight.py | 18 +++++++++++++----- tests/unit/test_flight.py | 28 ++++++++++++++-------------- 5 files changed, 65 insertions(+), 24 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index dce368bc8..f78b34edb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -32,11 +32,11 @@ Attention: The newest changes should be on top --> ### Added +- ENH: Add the Coriolis Force to the Flight class [#799](https://github.com/RocketPy-Team/RocketPy/pull/799) ### Changed - ENH: _MotorPrints inheritance - issue #460 [#828](https://github.com/RocketPy-Team/RocketPy/pull/828) - - MNT: fix deprecations and warnings [#829](https://github.com/RocketPy-Team/RocketPy/pull/829) ### Fixed diff --git a/rocketpy/environment/environment.py b/rocketpy/environment/environment.py index 06171d600..18abcf1df 100644 --- a/rocketpy/environment/environment.py +++ b/rocketpy/environment/environment.py @@ -247,6 +247,8 @@ class Environment: Number of ensemble members. Only defined when using Ensembles. Environment.ensemble_member : int Current selected ensemble member. Only defined when using Ensembles. + Environment.earth_rotation_vector : list[float] + Earth's angular velocity vector in the Flight Coordinate System. Notes ----- @@ -352,6 +354,7 @@ def __init__( self.set_location(latitude, longitude) self.__initialize_earth_geometry(datum) self.__initialize_utm_coordinates() + self.__set_earth_rotation_vector() # Set the gravity model self.gravity = self.set_gravity_model(gravity) @@ -583,6 +586,23 @@ def __reset_wind_direction_function(self): self.wind_direction.set_outputs("Wind Direction (Deg True)") self.wind_direction.set_title("Wind Direction Profile") + def __set_earth_rotation_vector(self): + """Calculates and stores the Earth's angular velocity vector in the Flight + Coordinate System, which is essential for evaluating inertial forces. + """ + # Sidereal day + T = 86164.1 # seconds + + # Earth's angular velocity magnitude + w_earth = 2 * np.pi / T + + # Vector in the Flight Coordinate System + lat = np.radians(self.latitude) + w_local = [0, w_earth * np.cos(lat), w_earth * np.sin(lat)] + + # Store the attribute + self.earth_rotation_vector = w_local + # Validators (used to verify an attribute is being set correctly.) def __validate_dictionary(self, file, dictionary): diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index e1c2cc05e..8121015ef 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -1579,6 +1579,12 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals ax, ay, az = K @ Vector(L) az -= self.env.gravity.get_value_opt(z) # Include gravity + # Coriolis acceleration + _, w_earth_y, w_earth_z = self.env.earth_rotation_vector + ax -= 2 * (vz * w_earth_y - vy * w_earth_z) + ay -= 2 * (vx * w_earth_z) + az -= 2 * (-vx * w_earth_y) + # Create u_dot u_dot = [ vx, @@ -1767,7 +1773,7 @@ def u_dot_generalized(self, t, u, post_processing=False): # pylint: disable=too _, _, z, vx, vy, vz, e0, e1, e2, e3, omega1, omega2, omega3 = u # Create necessary vectors - # r = Vector([x, y, z]) # CDM position vector + # r = Vector([x, y, z]) # CDM position vector v = Vector([vx, vy, vz]) # CDM velocity vector e = [e0, e1, e2, e3] # Euler parameters/quaternions w = Vector([omega1, omega2, omega3]) # Angular velocity vector @@ -1926,9 +1932,6 @@ def u_dot_generalized(self, t, u, post_processing=False): # pylint: disable=too # Angular velocity derivative w_dot = I_CM.inverse @ (T21 + (T20 ^ r_CM)) - # Velocity vector derivative - v_dot = K @ (T20 / total_mass - (r_CM ^ w_dot)) - # Euler parameters derivative e_dot = [ 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3), @@ -1937,6 +1940,10 @@ def u_dot_generalized(self, t, u, post_processing=False): # pylint: disable=too 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2), ] + # Velocity vector derivative + Coriolis acceleration + w_earth = Vector(self.env.earth_rotation_vector) + v_dot = K @ (T20 / total_mass - (r_CM ^ w_dot)) - 2 * (w_earth ^ v) + # Position vector derivative r_dot = [vx, vy, vz] @@ -2016,6 +2023,12 @@ def u_dot_parachute(self, t, u, post_processing=False): ay = Dy / (mp + ma) az = (Dz - 9.8 * mp) / (mp + ma) + # Add coriolis acceleration + _, w_earth_y, w_earth_z = self.env.earth_rotation_vector + ax -= 2 * (vz * w_earth_y - vy * w_earth_z) + ay -= 2 * (vx * w_earth_z) + az -= 2 * (-vx * w_earth_y) + if post_processing: self.__post_processed_variables.append( [t, ax, ay, az, 0, 0, 0, Dx, Dy, Dz, 0, 0, 0, 0] diff --git a/tests/integration/test_flight.py b/tests/integration/test_flight.py index 8fddb6486..c47b9b124 100644 --- a/tests/integration/test_flight.py +++ b/tests/integration/test_flight.py @@ -491,8 +491,9 @@ def test_empty_motor_flight(mock_show, example_plain_env, calisto_motorless): # def test_freestream_speed_at_apogee(example_plain_env, calisto): """ - Asserts that a rocket at apogee has a free stream speed of 0.0 m/s in all - directions given that the environment doesn't have any wind. + Asserts that a rocket at apogee has a free stream speed of near 0.0 m/s + in all directions given that the environment doesn't have any wind. Any + speed values comes from coriolis effect. """ # NOTE: this rocket doesn't move in x or z direction. There's no wind. hard_atol = 1e-12 @@ -508,7 +509,9 @@ def test_freestream_speed_at_apogee(example_plain_env, calisto): ) assert np.isclose( - test_flight.stream_velocity_x(test_flight.apogee_time), 0.0, atol=hard_atol + test_flight.stream_velocity_x(test_flight.apogee_time), + 0.4641492104717301, + atol=hard_atol, ) assert np.isclose( test_flight.stream_velocity_y(test_flight.apogee_time), 0.0, atol=hard_atol @@ -518,9 +521,13 @@ def test_freestream_speed_at_apogee(example_plain_env, calisto): test_flight.stream_velocity_z(test_flight.apogee_time), 0.0, atol=soft_atol ) assert np.isclose( - test_flight.free_stream_speed(test_flight.apogee_time), 0.0, atol=soft_atol + test_flight.free_stream_speed(test_flight.apogee_time), + 0.4641492104717798, + atol=hard_atol, + ) + assert np.isclose( + test_flight.apogee_freestream_speed, 0.4641492104717798, atol=hard_atol ) - assert np.isclose(test_flight.apogee_freestream_speed, 0.0, atol=soft_atol) def test_rocket_csys_equivalence( @@ -546,6 +553,7 @@ def test_rocket_csys_equivalence( assert np.isclose( flight_calisto_robust.x_impact, flight_calisto_nose_to_tail_robust.x_impact, + atol=1e-3, ) assert np.isclose( flight_calisto_robust.y_impact, diff --git a/tests/unit/test_flight.py b/tests/unit/test_flight.py index 260a2b138..04bd97c40 100644 --- a/tests/unit/test_flight.py +++ b/tests/unit/test_flight.py @@ -109,15 +109,15 @@ def test_get_solution_at_time(flight_calisto): flight_calisto.get_solution_at_time(flight_calisto.t_final), np.array( [ - 48.4313533, - 0.0, - 985.7665845, - -0.00000229951048, - 0.0, - 11.2223284, - -341.028803, - 0.999048222, - -0.0436193874, + 48.43719482805657, + -14.836008075478597, + 985.9858934483618, + -3.4415459237894554e-05, + 0.0007572309307800201, + 11.21695000766671, + -341.1460775169661, + 0.9990482215818578, + -0.043619387365336, 0.0, 0.0, 0.0, @@ -212,7 +212,7 @@ def test_export_sensor_data(flight_calisto_with_sensors): [ ("t_initial", (0.25886, -0.649623, 0)), ("out_of_rail_time", (0.792028, -1.987634, 0)), - ("apogee_time", (-0.522875, -0.741825, 0)), + ("apogee_time", (-0.509420, -0.732933, -2.089120e-14)), ("t_final", (0, 0, 0)), ], ) @@ -251,8 +251,8 @@ def test_aerodynamic_moments(flight_calisto_custom_wind, flight_time, expected_v [ ("t_initial", (1.654150, 0.659142, -0.067103)), ("out_of_rail_time", (5.052628, 2.013361, -1.75370)), - ("apogee_time", (2.339424, -1.648934, -0.938867)), - ("t_final", (0, 0, 159.2210)), + ("apogee_time", (2.321838, -1.613641, -0.962108)), + ("t_final", (-0.025792, 0.012030, 159.202481)), ], ) def test_aerodynamic_forces(flight_calisto_custom_wind, flight_time, expected_values): @@ -292,7 +292,7 @@ def test_aerodynamic_forces(flight_calisto_custom_wind, flight_time, expected_va ("out_of_rail_time", (0, 2.248540, 25.700928)), ( "apogee_time", - (-14.488364, 15.638049, -0.000191), + (-14.826350, 15.670022, -0.000264), ), ("t_final", (5, 2, -5.660155)), ], @@ -540,7 +540,7 @@ def test_lat_lon_conversion_from_origin(mock_show, example_plain_env, calisto_ro heading=0, ) - assert abs(test_flight.longitude(test_flight.t_final) - 0) < 1e-12 + assert abs(test_flight.longitude(test_flight.t_final)) < 1e-4 assert test_flight.latitude(test_flight.t_final) > 0 From 58f8b0d1acd11c7bbd270ad414469421ff2a5623 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> Date: Fri, 4 Jul 2025 14:25:24 -0300 Subject: [PATCH 26/56] MNT: deprecated decorator (#830) * ENH: refactor motor prints classes to inherit from _MotorPrints * STY: make format * MNT: update code and remove deprecated functions * ENH: add deprecation decorator and update deprecated methods * make format * fix warnings --- rocketpy/mathutils/function.py | 24 ++++++------- rocketpy/rocket/rocket.py | 16 ++++----- rocketpy/tools.py | 61 ++++++++++++++++++++++++++++++++++ 3 files changed, 79 insertions(+), 22 deletions(-) diff --git a/rocketpy/mathutils/function.py b/rocketpy/mathutils/function.py index 221974ca8..a034ba6f8 100644 --- a/rocketpy/mathutils/function.py +++ b/rocketpy/mathutils/function.py @@ -24,7 +24,7 @@ RBFInterpolator, ) -from rocketpy.tools import from_hex_decode, to_hex_encode +from rocketpy.tools import deprecated, from_hex_decode, to_hex_encode from ..plots.plot_helpers import show_or_save_plot @@ -1459,14 +1459,13 @@ def plot(self, *args, **kwargs): else: print("Error: Only functions with 1D or 2D domains can be plotted.") + @deprecated( + reason="The `Function.plot1D` method is set to be deprecated and fully " + "removed in rocketpy v2.0.0", + alternative="Function.plot_1d", + ) def plot1D(self, *args, **kwargs): # pragma: no cover """Deprecated method, use Function.plot_1d instead.""" - warnings.warn( - "The `Function.plot1D` method is set to be deprecated and fully " - + "removed in rocketpy v2.0.0, use `Function.plot_1d` instead. " - + "This method is calling `Function.plot_1d`.", - DeprecationWarning, - ) return self.plot_1d(*args, **kwargs) def plot_1d( # pylint: disable=too-many-statements @@ -1559,14 +1558,13 @@ def plot_1d( # pylint: disable=too-many-statements if return_object: return fig, ax + @deprecated( + reason="The `Function.plot2D` method is set to be deprecated and fully " + "removed in rocketpy v2.0.0", + alternative="Function.plot_2d", + ) def plot2D(self, *args, **kwargs): # pragma: no cover """Deprecated method, use Function.plot_2d instead.""" - warnings.warn( - "The `Function.plot2D` method is set to be deprecated and fully " - + "removed in rocketpy v2.0.0, use `Function.plot_2d` instead. " - + "This method is calling `Function.plot_2d`.", - DeprecationWarning, - ) return self.plot_2d(*args, **kwargs) def plot_2d( # pylint: disable=too-many-statements diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index fc2eca3c5..8ec6e56c4 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -1,5 +1,4 @@ import math -import warnings import numpy as np @@ -22,9 +21,8 @@ from rocketpy.rocket.aero_surface.generic_surface import GenericSurface from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute -from rocketpy.tools import parallel_axis_theorem_from_com -from functools import cached_property -from rocketpy.mathutils.function import funcify_method +from rocketpy.tools import deprecated, parallel_axis_theorem_from_com + # pylint: disable=too-many-instance-attributes, too-many-public-methods, too-many-instance-attributes class Rocket: @@ -1174,16 +1172,16 @@ def add_nose( self.add_surfaces(nose, position) return nose + @deprecated( + reason="This method is set to be deprecated in version 1.0.0 and fully " + "removed by version 2.0.0", + alternative="Rocket.add_trapezoidal_fins", + ) def add_fins(self, *args, **kwargs): # pragma: no cover """See Rocket.add_trapezoidal_fins for documentation. This method is set to be deprecated in version 1.0.0 and fully removed by version 2.0.0. Use Rocket.add_trapezoidal_fins instead. It keeps the same arguments and signature.""" - warnings.warn( - "This method is set to be deprecated in version 1.0.0 and fully " - "removed by version 2.0.0. Use Rocket.add_trapezoidal_fins instead", - DeprecationWarning, - ) return self.add_trapezoidal_fins(*args, **kwargs) def add_trapezoidal_fins( diff --git a/rocketpy/tools.py b/rocketpy/tools.py index 692d5e224..a5ffb1b50 100644 --- a/rocketpy/tools.py +++ b/rocketpy/tools.py @@ -14,6 +14,7 @@ import math import re import time +import warnings from bisect import bisect_left import dill @@ -28,6 +29,66 @@ INSTALL_MAPPING = {"IPython": "ipython"} +def deprecated(reason=None, version=None, alternative=None): + """ + Decorator to mark functions or methods as deprecated. + + This decorator issues a DeprecationWarning when the decorated function + is called, indicating that it will be removed in future versions. + + Parameters + ---------- + reason : str, optional + Custom deprecation message. If not provided, a default message will be used. + version : str, optional + Version when the function will be removed. If provided, it will be + included in the warning message. + alternative : str, optional + Name of the alternative function/method that should be used instead. + If provided, it will be included in the warning message. + + Returns + ------- + callable + The decorated function with deprecation warning functionality. + + Examples + -------- + >>> @deprecated(reason="This function is obsolete", version="v2.0.0", + ... alternative="new_function") + ... def old_function(): + ... return "old result" + + >>> @deprecated() + ... def another_old_function(): + ... return "result" + """ + + def decorator(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + # Build the deprecation message + if reason: + message = reason + else: + message = f"The function `{func.__name__}` is deprecated" + + if version: + message += f" and will be removed in {version}" + + if alternative: + message += f". Use `{alternative}` instead" + + message += "." + + warnings.warn(message, DeprecationWarning, stacklevel=2) + return func(*args, **kwargs) + + return wrapper + + return decorator + + def tuple_handler(value): """Transforms the input value into a tuple that represents a range. If the input is an int or float, the output is a tuple from zero to the input From 191744fc2904943da46c79e6bee4867d4c1858b5 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 12 Jul 2025 00:09:16 +0530 Subject: [PATCH 27/56] MNT: updates to 3dof example -MNT: incorporating latest structural changes made to PointMassMotor and PointMassRocket --- docs/examples/3_DOF_TRIAL.ipynb | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb index 39636df56..d7e5f7d45 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -10,9 +10,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from scipy.signal import savgol_filter\n", - "from rocketpy.rocket.rocket import BaseRocket\n", "from rocketpy.rocket.rocket import PointMassRocket\n", - "from rocketpy.motors.PointMassMotor import PointMassMotor\n", "from rocketpy import Flight, Environment, Function\n" ] }, @@ -77,7 +75,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -110,7 +108,19 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'PointMassMotor' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mthrust_profile\u001b[39m(t):\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m250\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[32m0\u001b[39m <= t <= \u001b[32m3\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m \u001b[32m0\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m motor = \u001b[43mPointMassMotor\u001b[49m(\n\u001b[32m 7\u001b[39m thrust_source=thrust_profile,\n\u001b[32m 8\u001b[39m dry_mass=\u001b[32m1.0\u001b[39m,\n\u001b[32m 9\u001b[39m thrust_curve=thrust_profile,\n\u001b[32m 10\u001b[39m propellant_initial_mass=\u001b[32m0.5\u001b[39m,\n\u001b[32m 11\u001b[39m propellant_final_mass=\u001b[32m0.0\u001b[39m,\n\u001b[32m 12\u001b[39m burn_time=\u001b[32m3.0\u001b[39m\n\u001b[32m 13\u001b[39m )\n", + "\u001b[31mNameError\u001b[39m: name 'PointMassMotor' is not defined" + ] + } + ], "source": [ "# Define Motor\n", "# Thrust profile: constant for 3 seconds\n", @@ -214,7 +224,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -228,7 +238,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.13.5" } }, "nbformat": 4, From 265dd93fde57092fb63d14e3faf98353f2980da1 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 12 Jul 2025 00:29:29 +0530 Subject: [PATCH 28/56] MNT: lint cleanup and adding 3dof to init -MNT: cleaned up PointMassRocket rocket.py for linters. -ENH: including PointMassMotor in motors and rocketpy __init__.py -MNT: adopting to structural changes in 3dof on the 3_DOF_TRIAL.ipynb -MNT: including pointmassmotor in settings.json as a spell word --- .vscode/settings.json | 1 + docs/examples/3_DOF_TRIAL.ipynb | 35 +++++++++++++++---------------- rocketpy/__init__.py | 1 + rocketpy/motors/__init__.py | 1 + rocketpy/motors/pointmassmotor.py | 6 +++--- rocketpy/rocket/rocket.py | 13 +----------- 6 files changed, 24 insertions(+), 33 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 7fa0c1ff8..70f540be4 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -239,6 +239,7 @@ "outerboundaryis", "overshootable", "planform", + "pointmassmotor", "polystyle", "powerseries", "Prandtl", diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_DOF_TRIAL.ipynb index d7e5f7d45..f5daefa0f 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_DOF_TRIAL.ipynb @@ -11,7 +11,7 @@ "import numpy as np\n", "from scipy.signal import savgol_filter\n", "from rocketpy.rocket.rocket import PointMassRocket\n", - "from rocketpy import Flight, Environment, Function\n" + "from rocketpy import Flight, Environment, Function, PointMassMotor\n" ] }, { @@ -106,21 +106,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'PointMassMotor' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mthrust_profile\u001b[39m(t):\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[32m250\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[32m0\u001b[39m <= t <= \u001b[32m3\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m \u001b[32m0\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m motor = \u001b[43mPointMassMotor\u001b[49m(\n\u001b[32m 7\u001b[39m thrust_source=thrust_profile,\n\u001b[32m 8\u001b[39m dry_mass=\u001b[32m1.0\u001b[39m,\n\u001b[32m 9\u001b[39m thrust_curve=thrust_profile,\n\u001b[32m 10\u001b[39m propellant_initial_mass=\u001b[32m0.5\u001b[39m,\n\u001b[32m 11\u001b[39m propellant_final_mass=\u001b[32m0.0\u001b[39m,\n\u001b[32m 12\u001b[39m burn_time=\u001b[32m3.0\u001b[39m\n\u001b[32m 13\u001b[39m )\n", - "\u001b[31mNameError\u001b[39m: name 'PointMassMotor' is not defined" - ] - } - ], + "outputs": [], "source": [ "# Define Motor\n", "# Thrust profile: constant for 3 seconds\n", @@ -130,7 +118,6 @@ "motor = PointMassMotor(\n", " thrust_source=thrust_profile,\n", " dry_mass=1.0,\n", - " thrust_curve=thrust_profile,\n", " propellant_initial_mass=0.5,\n", " propellant_final_mass=0.0,\n", " burn_time=3.0\n", @@ -139,9 +126,21 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "PointMassRocket.__init__() got an unexpected keyword argument 'drag_coefficient'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[6]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# Define Rocket\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m rocket = \u001b[43mPointMassRocket\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmass\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m2.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdrag_coefficient\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m0.75\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 3\u001b[39m rocket.add_motor(motor)\n", + "\u001b[31mTypeError\u001b[39m: PointMassRocket.__init__() got an unexpected keyword argument 'drag_coefficient'" + ] + } + ], "source": [ "# Define Rocket\n", "rocket = PointMassRocket(mass=2.0, drag_coefficient=0.75)\n", diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index a5e6cd299..a4218ee27 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -18,6 +18,7 @@ MassFlowRateBasedTank, Motor, SolidMotor, + PointMassMotor, SphericalTank, Tank, TankGeometry, diff --git a/rocketpy/motors/__init__.py b/rocketpy/motors/__init__.py index 73f49633c..4c00436a7 100644 --- a/rocketpy/motors/__init__.py +++ b/rocketpy/motors/__init__.py @@ -4,6 +4,7 @@ from .liquid_motor import LiquidMotor from .motor import GenericMotor, Motor from .solid_motor import SolidMotor +from .pointmassmotor import PointMassMotor from .tank import ( LevelBasedTank, MassBasedTank, diff --git a/rocketpy/motors/pointmassmotor.py b/rocketpy/motors/pointmassmotor.py index 9252127b9..36a231756 100644 --- a/rocketpy/motors/pointmassmotor.py +++ b/rocketpy/motors/pointmassmotor.py @@ -1,8 +1,8 @@ from functools import cached_property + import numpy as np -import csv -import math -from typing import Callable # Import Callable from the typing module + +from typing import Callable from rocketpy.mathutils.function import Function, funcify_method from .motor import Motor diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 8ec6e56c4..f8bfe0a91 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2022,38 +2022,27 @@ def __init__(self, mass, radius=0.05): power_off_drag=power_off_drag, power_on_drag=power_on_drag, ) - @cached_property - @funcify_method("Time (s)", "I_xx (kg·m²)") + def I_11(self) -> Function: """Returns the moment of inertia around the x-axis for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_22 (kg·m²)") def I_22(self) -> Function: """Returns the moment of inertia around the y-axis for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_33 (kg·m²)") def I_33(self) -> Function: """Returns the moment of inertia around the z-axis for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_12 (kg·m²)") def I_12(self) -> Function: """Returns the product of inertia I_xy for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_13 (kg·m²)") def I_13(self) -> Function: """Returns the product of inertia I_xz for a point mass (always 0).""" return Function(0) - @cached_property - @funcify_method("Time (s)", "I_23 (kg·m²)") def I_23(self) -> Function: """Returns the product of inertia I_yz for a point mass (always 0).""" return Function(0) From 5aa2027da2e372e310e626ee44f7afb9a0f73d55 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sun, 31 Aug 2025 00:55:58 +0530 Subject: [PATCH 29/56] MNT: Point mass motor and rocket fixes - MNT: pointmassmotor fixing the various properties. - MNT: fixing super init and init inheritance by changing order in pointmassrocket - MNT: pointmassrocket property setter and default value fixes --- rocketpy/motors/pointmassmotor.py | 239 ++++-------------------------- rocketpy/rocket/rocket.py | 147 +++++++++--------- 2 files changed, 98 insertions(+), 288 deletions(-) diff --git a/rocketpy/motors/pointmassmotor.py b/rocketpy/motors/pointmassmotor.py index 36a231756..11cabe021 100644 --- a/rocketpy/motors/pointmassmotor.py +++ b/rocketpy/motors/pointmassmotor.py @@ -1,74 +1,22 @@ from functools import cached_property - import numpy as np - -from typing import Callable - +from typing import Callable from rocketpy.mathutils.function import Function, funcify_method -from .motor import Motor +from .motor import Motor -class PointMassMotor(Motor): - """Class representing a motor modeled as a point mass. - - Inherits from the Motor class and simplifies the model to a thrust-producing - object without detailed structural components. The total mass of the motor - will vary with propellant consumption, similar to a standard motor. However, - its inertia components and the center of propellant mass are considered zero - and fixed at the motor's reference point, respectively. - """ +class PointMassMotor(Motor): + """Motor modeled as a point mass for 3-DOF simulations.""" def __init__( self, thrust_source, dry_mass, propellant_initial_mass, - burn_time = None, - propellant_final_mass = None, - reshape_thrust_curve = False, - interpolation_method = "linear", + burn_time=None, + propellant_final_mass=None, + reshape_thrust_curve=False, + interpolation_method="linear", ): - """Initialize the PointMassMotor class. - - This motor simplifies the physical model by considering its mass to be - concentrated at a single point, effectively setting all its inertia - components to zero. Propellant mass variation and exhaust velocity - are still simulated and derived from the thrust and propellant consumption - characteristics, similar to the base Motor class. - - Parameters - ---------- - thrust_source : int, float, callable, str, numpy.ndarray, Function - Thrust source. Can be a constant value (int, float), a callable - function of time, a path to a CSV file, a NumPy array, or a - RocketPy `Function` object. - dry_mass : float - Total dry mass of the motor in kg. - propellant_initial_mass : float - Initial mass of the propellant in kg. This is a required parameter - as the point mass motor will still simulate propellant consumption. - burn_time : float, optional - Total burn time of the motor in seconds. Required if `thrust_source` - is a constant value or a callable function, and `propellant_final_mass` - is not provided. If `thrust_source` is a CSV, array, or Function, - the burn time is derived from it. - propellant_final_mass : float, optional - Final mass of the propellant in kg. Required if `thrust_source` - is a callable function and `burn_time` is not provided. If not - provided, it is calculated by the base Motor class. - reshape_thrust_curve : bool, optional - Whether to reshape the thrust curve to start at t=0 and end at - burn_time. Defaults to False. - interpolation_method : str, optional - Interpolation method for the thrust curve, if applicable. - Defaults to 'linear'. - - Raises - ------ - ValueError - If insufficient data is provided for mass flow rate calculation. - TypeError - If an invalid type is provided for `thrust_source`. - """ if isinstance(thrust_source, (int, float, Callable)): if propellant_initial_mass is None: raise ValueError( @@ -79,14 +27,13 @@ def __init__( "For constant or callable thrust, either 'burn_time' or " "'propellant_final_mass' must be provided." ) - elif isinstance(thrust_source, (Function, np.ndarray, str)): if propellant_initial_mass is None: raise ValueError( "For thrust from a Function, NumPy array, or CSV, 'propellant_initial_mass' is required." ) else: - raise TypeError( + raise TypeError( "Invalid 'thrust_source' type. Must be int, float, callable, str, numpy.ndarray, or Function." ) @@ -95,172 +42,50 @@ def __init__( super().__init__( thrust_source=thrust_source, - dry_inertia=(0, 0, 0), # Inertia is zero for a point mass - nozzle_radius=0, # Nozzle radius is irrelevant for a point mass model - center_of_dry_mass_position=0, # Pass 0 directly to the superclass + dry_inertia=(0, 0, 0), + nozzle_radius=0, + center_of_dry_mass_position=0, dry_mass=dry_mass, - nozzle_position=0, # Nozzle is at the motor's origin + nozzle_position=0, burn_time=burn_time, - reshape_thrust_curve=reshape_thrust_curve, + reshape_thrust_curve=reshape_thrust_curve, interpolation_method=interpolation_method, - coordinate_system_orientation="nozzle_to_combustion_chamber", # Standard orientation + coordinate_system_orientation="nozzle_to_combustion_chamber", ) - # Removed the thrust method. It will now be inherited directly from the Motor base class, - # which already correctly handles the conversion of thrust_source to a Function - # and exposes it as a cached property. - - # Removed the total_mass override. The base Motor class's total_mass property - # will now correctly calculate dry_mass + propellant_mass(t), which is the desired - # varying mass behavior for the point mass motor. - - # Removed the center_of_dry_mass_position override. It is now passed directly - # to the super().__init__ as 0. @property def propellant_initial_mass(self): - """Returns the initial propellant mass for a point mass motor. - - This property retrieves the value set during initialization. This implementation - is required as 'propellant_initial_mass' is an abstract method in the parent Motor class. - - Returns - ------- - float - Propellant initial mass in kg. - """ return self._propellant_initial_mass - + @funcify_method("Time (s)", "Exhaust velocity (m/s)") def exhaust_velocity(self): - """Exhaust velocity by assuming it as a constant. The formula used is - total impulse/propellant initial mass. - - Returns - ------- - self.exhaust_velocity : Function - Gas exhaust velocity of the motor. + """Assume constant exhaust velocity: total impulse / propellant mass""" + v_e = self.total_impulse / self.propellant_initial_mass + return Function(v_e).set_discrete_based_on_model(self.thrust) - Notes - ----- - This corresponds to the actual exhaust velocity only when the nozzle - exit pressure equals the atmospheric pressure. - """ - return Function( - self.total_impulse / self.propellant_initial_mass - ).set_discrete_based_on_model(self.thrust) - @cached_property - @funcify_method("Time (s)", "Mass flow rate (kg/s)", extrapolation="zero") def total_mass_flow_rate(self) -> Function: - """Time derivative of the propellant mass as a function of time. - - It calculates mass flow rate as the negative of thrust divided by exhaust velocity, - consistent with the fundamental rocket equation. - - Returns - ------- - Function - Time derivative of total propellant mass a function of time. - """ - - exhaust_vel_func = self.exhaust_velocity - return -self.thrust / exhaust_vel_func + """Mass flow rate: -thrust / exhaust_velocity""" + return -self.thrust / self.exhaust_velocity @cached_property - @funcify_method("Time (s)", "Propellant Mass (kg)") def center_of_propellant_mass(self): - """Returns the position of the center of mass of the propellant. - - For a point mass motor, the propellant's center of mass is considered - to be at the origin (0) of the motor's coordinate system. + """Center of propellant mass is always zero""" + return Function(0.0) - Returns - ------- - Function - A Function object representing the center of propellant mass (always 0). - """ - return 0 + # Propellant inertias: always zero, but return as Function objects + def _zero_inertia_func(self): + return Function(0.0) @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_11(self): - """Returns the propellant moment of inertia around the x-axis. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_11(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_12(self): - """Returns the propellant product of inertia I_xy. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_12(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_13(self): - """Returns the propellant product of inertia I_xz. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_13(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_22(self): - """Returns the propellant moment of inertia around the y-axis. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_22(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_23(self): - """Returns the propellant product of inertia I_yz. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 - + def propellant_I_23(self): return self._zero_inertia_func() @cached_property - @funcify_method("Time (s)", "Inertia (kg·m²)") - def propellant_I_33(self): - """Returns the propellant moment of inertia around the z-axis. - - For a point mass motor, this is always zero. - - Returns - ------- - Function - A Function object representing zero propellant inertia. - """ - return 0 + def propellant_I_33(self): return self._zero_inertia_func() diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index f8bfe0a91..de3490d67 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2005,106 +2005,91 @@ def from_dict(cls, data): return rocket class PointMassRocket(Rocket): - """Rocket modeled as a point mass for 3-DOF simulations.""" - - def __init__(self, mass, radius=0.05): + def __init__( self, - radius: float = 0, - mass: float = 0, - center_of_mass: float = 0, - power_off_drag = 0, - power_on_drag = 0, + radius: float = 0.05, + mass: float = 0, + center_of_mass_without_motor: float = 0, + power_off_drag: float = 0.4, + power_on_drag: float = 0.4, + ): + self._center_of_mass_without_motor_pointmass = center_of_mass_without_motor + self._center_of_dry_mass_position = center_of_mass_without_motor + self._center_of_mass = center_of_mass_without_motor + # Dry inertias are zero for point mass + self._dry_I_11 = 0.0 + self._dry_I_22 = 0.0 + self._dry_I_33 = 0.0 + self._dry_I_12 = 0.0 + self._dry_I_13 = 0.0 + self._dry_I_23 = 0.0 + + # Call base init with safe defaults super().__init__( - radius=radius, - mass=mass, - inertia=(0, 0, 0), - center_of_mass_without_motor=center_of_mass, - power_off_drag=power_off_drag, - power_on_drag=power_on_drag, + radius=radius, + mass=mass, + inertia=(0, 0, 0), + power_off_drag=power_off_drag, + power_on_drag=power_on_drag, + center_of_mass_without_motor=center_of_mass_without_motor, ) - def I_11(self) -> Function: - """Returns the moment of inertia around the x-axis for a point mass (always 0).""" - return Function(0) - - def I_22(self) -> Function: - """Returns the moment of inertia around the y-axis for a point mass (always 0).""" - return Function(0) + # ------------------------------------------------------------------ + # Center of Mass Properties + # ------------------------------------------------------------------ + @property + def center_of_mass_without_motor(self): + return self._center_of_mass_without_motor_pointmass - def I_33(self) -> Function: - """Returns the moment of inertia around the z-axis for a point mass (always 0).""" - return Function(0) + @center_of_mass_without_motor.setter + def center_of_mass_without_motor(self, value): + self._center_of_mass_without_motor_pointmass = value - def I_12(self) -> Function: - """Returns the product of inertia I_xy for a point mass (always 0).""" - return Function(0) + @property + def center_of_dry_mass_position(self): + return self._center_of_dry_mass_position - def I_13(self) -> Function: - """Returns the product of inertia I_xz for a point mass (always 0).""" - return Function(0) + @center_of_dry_mass_position.setter + def center_of_dry_mass_position(self, value): + self._center_of_dry_mass_position = value - def I_23(self) -> Function: - """Returns the product of inertia I_yz for a point mass (always 0).""" - return Function(0) - @property - def dry_I_11(self) -> float: - """Returns the dry moment of inertia around the x-axis for a point mass (always 0).""" - return 0.0 + def center_of_mass(self): + return self._center_of_mass - @property - def dry_I_22(self) -> float: - """Returns the dry moment of inertia around the y-axis for a point mass (always 0).""" - return 0.0 + @center_of_mass.setter + def center_of_mass(self, value): + self._center_of_mass = value + # ------------------------------------------------------------------ + # Inertia Properties (always zero) + # ------------------------------------------------------------------ @property - def dry_I_33(self) -> float: - """Returns the dry moment of inertia around the z-axis for a point mass (always 0).""" - return 0.0 + def dry_I_11(self): return 0.0 + @dry_I_11.setter + def dry_I_11(self, value): self._dry_I_11 = 0.0 @property - def dry_I_12(self) -> float: - """Returns the dry product of inertia I_xy for a point mass (always 0).""" - return 0.0 + def dry_I_22(self): return 0.0 + @dry_I_22.setter + def dry_I_22(self, value): self._dry_I_22 = 0.0 @property - def dry_I_13(self) -> float: - """Returns the dry product of inertia I_xz for a point mass (always 0).""" - return 0.0 + def dry_I_33(self): return 0.0 + @dry_I_33.setter + def dry_I_33(self, value): self._dry_I_33 = 0.0 @property - def dry_I_23(self) -> float: - """Returns the dry product of inertia I_yz for a point mass (always 0).""" - return 0.0 - - def evaluate_inertias(self): - """Calculates and returns the rocket's inertias. For a PointMassRocket, these are always zero.""" - self.I_11 = self.I_22 = self.I_33 = Function(0) - self.I_12 = self.I_13 = self.I_23 = Function(0) - return (0, 0, 0, 0, 0, 0) - - def evaluate_dry_inertias(self): - """Calculates and returns the rocket's dry inertias. For a PointMassRocket, these are always zero.""" - self.dry_I_11 = self.dry_I_22 = self.dry_I_33 = 0.0 - self.dry_I_12 = self.dry_I_13 = self.dry_I_23 = 0.0 - return (0, 0, 0, 0, 0, 0) + def dry_I_12(self): return 0.0 + @dry_I_12.setter + def dry_I_12(self, value): self._dry_I_12 = 0.0 @property - def center_of_mass(self) -> Function: - """Returns the center of mass for a PointMassRocket. - If a motor is attached, this will be the motor's center of mass. - Otherwise, it will be the `center_of_mass_without_motor`. - """ - if self.motor and not isinstance(self.motor, EmptyMotor): - return self.motor_center_of_mass_position - return Function(self.center_of_mass_without_motor) + def dry_I_13(self): return 0.0 + @dry_I_13.setter + def dry_I_13(self, value): self._dry_I_13 = 0.0 @property - def center_of_dry_mass_position(self) -> float: - """Returns the center of dry mass position for a PointMassRocket. - If a motor is attached, this will be the motor's center of dry mass position. - Otherwise, it will be the `center_of_mass_without_motor`. - """ - if self.motor and not isinstance(self.motor, EmptyMotor): - return self.motor_center_of_dry_mass_position - return self.center_of_mass_without_motor + def dry_I_23(self): return 0.0 + @dry_I_23.setter + def dry_I_23(self, value): self._dry_I_23 = 0.0 From 464212dc1caa281a99f3d45a298250ea3dca53c8 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sun, 31 Aug 2025 01:30:04 +0530 Subject: [PATCH 30/56] MNT: flight class fix on simulation mode detection - MNT: implemented identification of simulation mode based on check if point mass objects are used --- rocketpy/simulation/flight.py | 38 ++++++++++++++++++++++++++--------- 1 file changed, 28 insertions(+), 10 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 8121015ef..148fde59f 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -4,7 +4,8 @@ import warnings from copy import deepcopy from functools import cached_property - +from ..motors.pointmassmotor import PointMassMotor +from ..rocket import PointMassRocket import numpy as np import simplekml from scipy.integrate import BDF, DOP853, LSODA, RK23, RK45, OdeSolver, Radau @@ -1193,16 +1194,33 @@ def __init_solver_monitors(self): def __init_equations_of_motion(self): """Initialize equations of motion.""" - if self.equations_of_motion == "solid_propulsion" and self.simulation_mode == '6 DOF': - # NOTE: The u_dot is faster, but only works for solid propulsion - self.u_dot_generalized = self.u_dot - elif self.equations_of_motion == "solid_propulsion" and self.simulation_mode == '3 DOF': - # NOTE: The u_dot is faster, but only works for solid propulsion - self.u_dot_generalized = self.u_dot_3dof - elif self.simulation_mode == '3 DOF': - # NOTE: The u_dot is faster, but only works for solid propulsion - self.u_dot_generalized = self.u_dot_generalized_3dof + # Determine if a point-mass model is used. + is_point_mass = ( + isinstance(self.rocket, PointMassRocket) + or (self.rocket._motors and isinstance(self.rocket._motors[0], PointMassMotor)) + ) + # Set simulation mode based on model type. + if is_point_mass: + if self.simulation_mode != "3 DOF": + warnings.warn("A point-mass model was detected. Simulation mode should be '3 DOF'.", UserWarning) + self.simulation_mode = "3 DOF" + else: + self.simulation_mode = self.simulation_mode + # Set the equations of motion based on the final simulation mode. + if self.simulation_mode == "3 DOF": + self.equations_of_motion = self.equations_of_motion + self.u_dot_generalized = self.u_dot_generalized_3dof + elif self.simulation_mode == "6 DOF": + if self.equations_of_motion == "solid_propulsion": + self.u_dot_generalized = self.u_dot_6dof + else: + self.u_dot_generalized = self.u_dot_generalized_6dof + else: + raise ValueError( + f"Invalid simulation_mode: {self.simulation_mode}. " + "Must be '3 DOF' or '6 DOF'." + ) def __init_controllers(self): """Initialize controllers and sensors""" self._controllers = self.rocket._controllers[:] From a1b1d1f17fe1a8afbc1d0dd98825dc884ad34d03 Mon Sep 17 00:00:00 2001 From: Ishan Date: Wed, 10 Sep 2025 00:25:52 +0530 Subject: [PATCH 31/56] MNT: make format changes - MNT: used make format to correct formatting mistakes on all the new classes. --- rocketpy/__init__.py | 4 +- rocketpy/motors/__init__.py | 2 +- ...{pointmassmotor.py => point_mass_motor.py} | 29 +++++++++--- rocketpy/rocket/__init__.py | 3 +- rocketpy/rocket/rocket.py | 43 +++++++++++++----- rocketpy/simulation/flight.py | 44 +++++++------------ 6 files changed, 74 insertions(+), 51 deletions(-) rename rocketpy/motors/{pointmassmotor.py => point_mass_motor.py} (87%) diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index a4218ee27..852a16aef 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -17,8 +17,8 @@ MassBasedTank, MassFlowRateBasedTank, Motor, - SolidMotor, PointMassMotor, + SolidMotor, SphericalTank, Tank, TankGeometry, @@ -36,9 +36,9 @@ LinearGenericSurface, NoseCone, Parachute, + PointMassRocket, RailButtons, Rocket, - PointMassRocket, Tail, TrapezoidalFins, ) diff --git a/rocketpy/motors/__init__.py b/rocketpy/motors/__init__.py index 4c00436a7..b13ff9392 100644 --- a/rocketpy/motors/__init__.py +++ b/rocketpy/motors/__init__.py @@ -3,8 +3,8 @@ from .hybrid_motor import HybridMotor from .liquid_motor import LiquidMotor from .motor import GenericMotor, Motor +from .point_mass_motor import PointMassMotor from .solid_motor import SolidMotor -from .pointmassmotor import PointMassMotor from .tank import ( LevelBasedTank, MassBasedTank, diff --git a/rocketpy/motors/pointmassmotor.py b/rocketpy/motors/point_mass_motor.py similarity index 87% rename from rocketpy/motors/pointmassmotor.py rename to rocketpy/motors/point_mass_motor.py index 11cabe021..7cd42636f 100644 --- a/rocketpy/motors/pointmassmotor.py +++ b/rocketpy/motors/point_mass_motor.py @@ -1,9 +1,13 @@ from functools import cached_property -import numpy as np from typing import Callable + +import numpy as np + from rocketpy.mathutils.function import Function, funcify_method + from .motor import Motor + class PointMassMotor(Motor): """Motor modeled as a point mass for 3-DOF simulations.""" @@ -78,14 +82,25 @@ def _zero_inertia_func(self): return Function(0.0) @cached_property - def propellant_I_11(self): return self._zero_inertia_func() + def propellant_I_11(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_12(self): return self._zero_inertia_func() + def propellant_I_12(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_13(self): return self._zero_inertia_func() + def propellant_I_13(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_22(self): return self._zero_inertia_func() + def propellant_I_22(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_23(self): return self._zero_inertia_func() + def propellant_I_23(self): + return self._zero_inertia_func() + @cached_property - def propellant_I_33(self): return self._zero_inertia_func() + def propellant_I_33(self): + return self._zero_inertia_func() diff --git a/rocketpy/rocket/__init__.py b/rocketpy/rocket/__init__.py index 4019c87b8..13394dd56 100644 --- a/rocketpy/rocket/__init__.py +++ b/rocketpy/rocket/__init__.py @@ -14,5 +14,4 @@ ) from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute -from rocketpy.rocket.rocket import Rocket -from rocketpy.rocket.rocket import PointMassRocket \ No newline at end of file +from rocketpy.rocket.rocket import PointMassRocket, Rocket diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index de3490d67..cd68927e1 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2004,6 +2004,7 @@ def from_dict(cls, data): return rocket + class PointMassRocket(Rocket): def __init__( self, @@ -2065,31 +2066,49 @@ def center_of_mass(self, value): # Inertia Properties (always zero) # ------------------------------------------------------------------ @property - def dry_I_11(self): return 0.0 + def dry_I_11(self): + return 0.0 + @dry_I_11.setter - def dry_I_11(self, value): self._dry_I_11 = 0.0 + def dry_I_11(self, value): + self._dry_I_11 = 0.0 @property - def dry_I_22(self): return 0.0 + def dry_I_22(self): + return 0.0 + @dry_I_22.setter - def dry_I_22(self, value): self._dry_I_22 = 0.0 + def dry_I_22(self, value): + self._dry_I_22 = 0.0 @property - def dry_I_33(self): return 0.0 + def dry_I_33(self): + return 0.0 + @dry_I_33.setter - def dry_I_33(self, value): self._dry_I_33 = 0.0 + def dry_I_33(self, value): + self._dry_I_33 = 0.0 @property - def dry_I_12(self): return 0.0 + def dry_I_12(self): + return 0.0 + @dry_I_12.setter - def dry_I_12(self, value): self._dry_I_12 = 0.0 + def dry_I_12(self, value): + self._dry_I_12 = 0.0 @property - def dry_I_13(self): return 0.0 + def dry_I_13(self): + return 0.0 + @dry_I_13.setter - def dry_I_13(self, value): self._dry_I_13 = 0.0 + def dry_I_13(self, value): + self._dry_I_13 = 0.0 @property - def dry_I_23(self): return 0.0 + def dry_I_23(self): + return 0.0 + @dry_I_23.setter - def dry_I_23(self, value): self._dry_I_23 = 0.0 + def dry_I_23(self, value): + self._dry_I_23 = 0.0 diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 148fde59f..a716a36b5 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -4,16 +4,17 @@ import warnings from copy import deepcopy from functools import cached_property -from ..motors.pointmassmotor import PointMassMotor -from ..rocket import PointMassRocket + import numpy as np import simplekml from scipy.integrate import BDF, DOP853, LSODA, RK23, RK45, OdeSolver, Radau from ..mathutils.function import Function, funcify_method from ..mathutils.vector_matrix import Matrix, Vector +from ..motors.point_mass_motor import PointMassMotor from ..plots.flight_plots import _FlightPlots from ..prints.flight_prints import _FlightPrints +from ..rocket import PointMassRocket from ..tools import ( calculate_cubic_hermite_coefficients, euler313_to_quaternions, @@ -1195,14 +1196,17 @@ def __init_solver_monitors(self): def __init_equations_of_motion(self): """Initialize equations of motion.""" # Determine if a point-mass model is used. - is_point_mass = ( - isinstance(self.rocket, PointMassRocket) - or (self.rocket._motors and isinstance(self.rocket._motors[0], PointMassMotor)) + is_point_mass = isinstance(self.rocket, PointMassRocket) or ( + hasattr(self.rocket, "motor") + and isinstance(self.rocket.motor, PointMassMotor) ) # Set simulation mode based on model type. if is_point_mass: if self.simulation_mode != "3 DOF": - warnings.warn("A point-mass model was detected. Simulation mode should be '3 DOF'.", UserWarning) + warnings.warn( + "A point-mass model was detected. Simulation mode should be '3 DOF'.", + UserWarning, + ) self.simulation_mode = "3 DOF" else: self.simulation_mode = self.simulation_mode @@ -1213,14 +1217,15 @@ def __init_equations_of_motion(self): self.u_dot_generalized = self.u_dot_generalized_3dof elif self.simulation_mode == "6 DOF": if self.equations_of_motion == "solid_propulsion": - self.u_dot_generalized = self.u_dot_6dof + self.u_dot_generalized = self.u_dot else: - self.u_dot_generalized = self.u_dot_generalized_6dof + self.u_dot_generalized = self.u_dot_generalized else: raise ValueError( f"Invalid simulation_mode: {self.simulation_mode}. " "Must be '3 DOF' or '6 DOF'." ) + def __init_controllers(self): """Initialize controllers and sensors""" self._controllers = self.rocket._controllers[:] @@ -1580,17 +1585,8 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals R3 += Z # Linear acceleration L = [ - ( - R1 - - ) - / total_mass_at_t, - ( - R2 - - ) - / total_mass_at_t, - + (R1) / total_mass_at_t, + (R2) / total_mass_at_t, (R3 - b * propellant_mass_at_t * (alpha2 - omega1 * omega3) + net_thrust) / total_mass_at_t, ] @@ -1622,7 +1618,6 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals if post_processing: self.__post_processed_variables.append( - [ t, ax, @@ -1700,11 +1695,7 @@ def u_dot_generalized_3dof(self, t, u, post_processing=False): air_brake.deployment_level, mach ) ab_force = ( - -0.5 - * rho - * free_stream_speed**2 - * air_brake.reference_area - * ab_cd + -0.5 * rho * free_stream_speed**2 * air_brake.reference_area * ab_cd ) if air_brake.override_rocket_drag: R3 = ab_force @@ -1759,7 +1750,6 @@ def u_dot_generalized_3dof(self, t, u, post_processing=False): if post_processing: self.__post_processed_variables.append( [t, *v_dot, *w_dot, R1, R2, R3, 0, 0, 0] - ) return u_dot @@ -1769,7 +1759,7 @@ def u_dot_generalized(self, t, u, post_processing=False): # pylint: disable=too rocket is flying in 6 DOF motion in space and significant mass variation effects exist. Typical flight phases include powered ascent after launch rail. - + Parameters ---------- t : float From c5152fae617b45934d970606051fa35f301a3ddc Mon Sep 17 00:00:00 2001 From: Ishan Date: Fri, 10 Oct 2025 21:41:25 +0530 Subject: [PATCH 32/56] MNT: rocket.py removed pointmassrocket inertia - MNT: removed dry inertia setters from pointmassrocket --- rocketpy/rocket/rocket.py | 51 --------------------------------------- 1 file changed, 51 deletions(-) diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 22ae6cfdc..b06e3885f 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2110,54 +2110,3 @@ def center_of_mass(self): @center_of_mass.setter def center_of_mass(self, value): self._center_of_mass = value - - # ------------------------------------------------------------------ - # Inertia Properties (always zero) - # ------------------------------------------------------------------ - @property - def dry_I_11(self): - return 0.0 - - @dry_I_11.setter - def dry_I_11(self, value): - self._dry_I_11 = 0.0 - - @property - def dry_I_22(self): - return 0.0 - - @dry_I_22.setter - def dry_I_22(self, value): - self._dry_I_22 = 0.0 - - @property - def dry_I_33(self): - return 0.0 - - @dry_I_33.setter - def dry_I_33(self, value): - self._dry_I_33 = 0.0 - - @property - def dry_I_12(self): - return 0.0 - - @dry_I_12.setter - def dry_I_12(self, value): - self._dry_I_12 = 0.0 - - @property - def dry_I_13(self): - return 0.0 - - @dry_I_13.setter - def dry_I_13(self, value): - self._dry_I_13 = 0.0 - - @property - def dry_I_23(self): - return 0.0 - - @dry_I_23.setter - def dry_I_23(self, value): - self._dry_I_23 = 0.0 From a097ea0c3db7418cd93fad6ee4444652bccd2ee1 Mon Sep 17 00:00:00 2001 From: Ishan Date: Fri, 10 Oct 2025 21:44:04 +0530 Subject: [PATCH 33/56] MNT: flight.py review updates - MNT: fixed the order of attributes shifted simulation mode after ode solver - MNT: added flight.simulation in docstring --- rocketpy/simulation/flight.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index b883461df..d9432f841 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -467,6 +467,8 @@ class Flight: Defined as the minimum angle between the attitude vector and the freestream velocity vector. Can be called or accessed as array. + Flight.simulation_mode : str + Simulation mode for the flight. Can be "6 DOF" or "3 DOF". """ def __init__( # pylint: disable=too-many-arguments,too-many-statements @@ -487,8 +489,8 @@ def __init__( # pylint: disable=too-many-arguments,too-many-statements verbose=False, name="Flight", equations_of_motion="standard", - simulation_mode="6 DOF", ode_solver="LSODA", + simulation_mode="6 DOF", ): """Run a trajectory simulation. From d612fa39dfb4fe648c14b08051e8bef46c4043dd Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 11 Oct 2025 01:36:12 +0530 Subject: [PATCH 34/56] MNT: flight.py sanitization - MNT: manually updated flight.py to match the current version on develop --- rocketpy/simulation/flight.py | 501 ++++++++++++++++------------------ 1 file changed, 233 insertions(+), 268 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index d9432f841..a732a037a 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -8,7 +8,7 @@ import numpy as np import simplekml from scipy.integrate import BDF, DOP853, LSODA, RK23, RK45, OdeSolver, Radau - +from rocketpy.simulation.flight_data_exporter import FlightDataExporter from ..mathutils.function import Function, funcify_method from ..mathutils.vector_matrix import Matrix, Vector from ..motors.point_mass_motor import PointMassMotor @@ -17,6 +17,7 @@ from ..rocket import PointMassRocket from ..tools import ( calculate_cubic_hermite_coefficients, + deprecated, euler313_to_quaternions, find_closest, find_root_linear_interpolation, @@ -764,10 +765,25 @@ def __simulate(self, verbose): ) i += 1 # Create flight phase for time after inflation - callbacks = [ + callbacks = [ lambda self, parachute_cd_s=parachute.cd_s: setattr( self, "parachute_cd_s", parachute_cd_s - ) + ), + lambda self, parachute_radius=parachute.radius: setattr( + self, "parachute_radius", parachute_radius + ), + lambda self, parachute_height=parachute.height: setattr( + self, "parachute_height", parachute_height + ), + lambda self, parachute_porosity=parachute.porosity: setattr( + self, "parachute_porosity", parachute_porosity + ), + lambda self, + added_mass_coefficient=parachute.added_mass_coefficient: setattr( + self, + "parachute_added_mass_coefficient", + added_mass_coefficient, + ), ] self.flight_phases.add_phase( node.t + parachute.lag, @@ -1013,7 +1029,31 @@ def __simulate(self, verbose): lambda self, parachute_cd_s=parachute.cd_s: setattr( self, "parachute_cd_s", parachute_cd_s - ) + ), + lambda self, + parachute_radius=parachute.radius: setattr( + self, + "parachute_radius", + parachute_radius, + ), + lambda self, + parachute_height=parachute.height: setattr( + self, + "parachute_height", + parachute_height, + ), + lambda self, + parachute_porosity=parachute.porosity: setattr( + self, + "parachute_porosity", + parachute_porosity, + ), + lambda self, + added_mass_coefficient=parachute.added_mass_coefficient: setattr( + self, + "parachute_added_mass_coefficient", + added_mass_coefficient, + ), ] self.flight_phases.add_phase( overshootable_node.t + parachute.lag, @@ -1462,10 +1502,20 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals # Thrust correction parameters pressure = self.env.pressure.get_value_opt(z) # Determine current behavior - if t < self.rocket.motor.burn_out_time: + if self.rocket.motor.burn_start_time < t < self.rocket.motor.burn_out_time: # Motor burning # Retrieve important motor quantities + # Inertias + motor_I_33_at_t = self.rocket.motor.I_33.get_value_opt(t) + motor_I_11_at_t = self.rocket.motor.I_11.get_value_opt(t) + motor_I_33_derivative_at_t = self.rocket.motor.I_33.differentiate( + t, dx=1e-6 + ) + motor_I_11_derivative_at_t = self.rocket.motor.I_11.differentiate( + t, dx=1e-6 + ) # Mass + mass_flow_rate_at_t = self.rocket.motor.mass_flow_rate.get_value_opt(t) propellant_mass_at_t = self.rocket.motor.propellant_mass.get_value_opt(t) # Thrust @@ -1479,18 +1529,39 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals M2 -= self.rocket.thrust_eccentricity_x * net_thrust else: # Motor stopped + # Inertias + ( + motor_I_33_at_t, + motor_I_11_at_t, + motor_I_33_derivative_at_t, + motor_I_11_derivative_at_t, + ) = (0, 0, 0, 0) # Mass - propellant_mass_at_t = 0 + mass_flow_rate_at_t, propellant_mass_at_t = 0, 0 # thrust net_thrust = 0 # Retrieve important quantities + # Inertias + rocket_dry_I_33 = self.rocket.dry_I_33 + rocket_dry_I_11 = self.rocket.dry_I_11 # Mass rocket_dry_mass = self.rocket.dry_mass # already with motor's dry mass total_mass_at_t = propellant_mass_at_t + rocket_dry_mass mu = (propellant_mass_at_t * rocket_dry_mass) / ( propellant_mass_at_t + rocket_dry_mass ) + # Geometry + # b = -self.rocket.distance_rocket_propellant + b = ( + -( + self.rocket.center_of_propellant_position.get_value_opt(0) + - self.rocket.center_of_dry_mass_position + ) + * self.rocket._csys + ) + c = self.rocket.nozzle_to_cdm + nozzle_radius = self.rocket.motor.nozzle_radius # Prepare transformation matrix a11 = 1 - 2 * (e2**2 + e3**2) a12 = 2 * (e1 * e2 - e0 * e3) @@ -1539,6 +1610,9 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals R3 = air_brakes_force # Substitutes rocket drag coefficient else: R3 += air_brakes_force + # Off center moment + M1 += self.rocket.cp_eccentricity_y * R3 + M2 -= self.rocket.cp_eccentricity_x * R3 # Get rocket velocity in body frame vx_b = a11 * vx + a21 * vy + a31 * vz vy_b = a12 * vx + a22 * vy + a32 * vz @@ -1582,10 +1656,91 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals R1 += X R2 += Y R3 += Z + M1 += M + M2 += N + M3 += L + # Off center moment + M3 += self.rocket.cp_eccentricity_x * R2 - self.rocket.cp_eccentricity_y * R1 + + # Calculate derivatives + # Angular acceleration + alpha1 = ( + M1 + - ( + omega2 + * omega3 + * ( + rocket_dry_I_33 + + motor_I_33_at_t + - rocket_dry_I_11 + - motor_I_11_at_t + - mu * b**2 + ) + + omega1 + * ( + ( + motor_I_11_derivative_at_t + + mass_flow_rate_at_t + * (rocket_dry_mass - 1) + * (b / total_mass_at_t) ** 2 + ) + - mass_flow_rate_at_t + * ((nozzle_radius / 2) ** 2 + (c - b * mu / rocket_dry_mass) ** 2) + ) + ) + ) / (rocket_dry_I_11 + motor_I_11_at_t + mu * b**2) + alpha2 = ( + M2 + - ( + omega1 + * omega3 + * ( + rocket_dry_I_11 + + motor_I_11_at_t + + mu * b**2 + - rocket_dry_I_33 + - motor_I_33_at_t + ) + + omega2 + * ( + ( + motor_I_11_derivative_at_t + + mass_flow_rate_at_t + * (rocket_dry_mass - 1) + * (b / total_mass_at_t) ** 2 + ) + - mass_flow_rate_at_t + * ((nozzle_radius / 2) ** 2 + (c - b * mu / rocket_dry_mass) ** 2) + ) + ) + ) / (rocket_dry_I_11 + motor_I_11_at_t + mu * b**2) + alpha3 = ( + M3 + - omega3 + * ( + motor_I_33_derivative_at_t + - mass_flow_rate_at_t * (nozzle_radius**2) / 2 + ) + ) / (rocket_dry_I_33 + motor_I_33_at_t) + # Euler parameters derivative + e0dot = 0.5 * (-omega1 * e1 - omega2 * e2 - omega3 * e3) + e1dot = 0.5 * (omega1 * e0 + omega3 * e2 - omega2 * e3) + e2dot = 0.5 * (omega2 * e0 - omega3 * e1 + omega1 * e3) + e3dot = 0.5 * (omega3 * e0 + omega2 * e1 - omega1 * e2) # Linear acceleration L = [ - (R1) / total_mass_at_t, - (R2) / total_mass_at_t, + ( + R1 + - b * propellant_mass_at_t * (omega2**2 + omega3**2) + - 2 * c * mass_flow_rate_at_t * omega2 + ) + / total_mass_at_t, + ( + R2 + + b * propellant_mass_at_t * (alpha3 + omega1 * omega2) + + 2 * c * mass_flow_rate_at_t * omega1 + ) + / total_mass_at_t, (R3 - b * propellant_mass_at_t * (alpha2 - omega1 * omega3) + net_thrust) / total_mass_at_t, ] @@ -1606,13 +1761,13 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals ax, ay, az, - 0, - 0, - 0, - 0, - 0, - 0, - 0, + e0dot, + e1dot, + e2dot, + e3dot, + alpha1, + alpha2, + alpha3, ] if post_processing: @@ -2010,10 +2165,17 @@ def u_dot_parachute(self, t, u, post_processing=False): # (1 - eta) * t**5 + eta * (to**3) * (t**2) # ) # Rdot = 0 + # tf = 8 * nominal diameter / velocity at line stretch # Calculate added mass - ma = ka * rho * (4 / 3) * np.pi * R**3 - + ma = ( + self.parachute_added_mass_coefficient + * rho + * (2 / 3) + * np.pi + * self.parachute_radius**2 + * self.parachute_height + ) # Calculate freestream speed freestream_x = vx - wind_velocity_x freestream_y = vy - wind_velocity_y @@ -2021,14 +2183,14 @@ def u_dot_parachute(self, t, u, post_processing=False): free_stream_speed = (freestream_x**2 + freestream_y**2 + freestream_z**2) ** 0.5 # Determine drag force - pseudo_drag = -0.5 * rho * cd_s * free_stream_speed + pseudo_drag = -0.5 * rho * self.parachute_cd_s * free_stream_speed # pseudo_drag = pseudo_drag - ka * rho * 4 * np.pi * (R**2) * Rdot - Dx = pseudo_drag * freestream_x + Dx = pseudo_drag * freestream_x # add eta efficiency for wake Dy = pseudo_drag * freestream_y Dz = pseudo_drag * freestream_z ax = Dx / (mp + ma) ay = Dy / (mp + ma) - az = (Dz - 9.8 * mp) / (mp + ma) + az = (Dz - mp * self.env.gravity.get_value_opt(z)) / (mp + ma) # Add coriolis acceleration _, w_earth_y, w_earth_z = self.env.earth_rotation_vector @@ -3256,192 +3418,54 @@ def calculate_stall_wind_velocity(self, stall_angle): # TODO: move to utilities "Maximum wind velocity at Rail Departure time before angle" + f" of attack exceeds {stall_angle:.3f}°: {w_v:.3f} m/s" ) - + + @deprecated( + reason="Moved to FlightDataExporter.export_pressures()", + version="v1.12.0", + alternative="rocketpy.simulation.flight_data_exporter.FlightDataExporter.export_pressures", + ) def export_pressures(self, file_name, time_step): # TODO: move out - """Exports the pressure experienced by the rocket during the flight to - an external file, the '.csv' format is recommended, as the columns will - be separated by commas. It can handle flights with or without - parachutes, although it is not possible to get a noisy pressure signal - if no parachute is added. - - If a parachute is added, the file will contain 3 columns: time in - seconds, clean pressure in Pascals and noisy pressure in Pascals. - For flights without parachutes, the third column will be discarded - - This function was created especially for the 'Projeto Jupiter' - Electronics Subsystems team and aims to help in configuring - micro-controllers. - - Parameters - ---------- - file_name : string - The final file name, - time_step : float - Time step desired for the final file - - Return - ------ - None """ - time_points = np.arange(0, self.t_final, time_step) - # pylint: disable=W1514, E1121 - with open(file_name, "w") as file: - if len(self.rocket.parachutes) == 0: - print("No parachutes in the rocket, saving static pressure.") - for t in time_points: - file.write(f"{t:f}, {self.pressure.get_value_opt(t):.5f}\n") - else: - for parachute in self.rocket.parachutes: - for t in time_points: - p_cl = parachute.clean_pressure_signal_function.get_value_opt(t) - p_ns = parachute.noisy_pressure_signal_function.get_value_opt(t) - file.write(f"{t:f}, {p_cl:.5f}, {p_ns:.5f}\n") - # We need to save only 1 parachute data - break - + .. deprecated:: 1.11 + Use :class:`rocketpy.simulation.flight_data_exporter.FlightDataExporter` + and call ``.export_pressures(...)``. + """ + return FlightDataExporter(self).export_pressures(file_name, time_step) + + @deprecated( + reason="Moved to FlightDataExporter.export_data()", + version="v1.12.0", + alternative="rocketpy.simulation.flight_data_exporter.FlightDataExporter.export_data", + ) def export_data(self, file_name, *variables, time_step=None): - """Exports flight data to a comma separated value file (.csv). - - Data is exported in columns, with the first column representing time - steps. The first line of the file is a header line, specifying the - meaning of each column and its units. - - Parameters - ---------- - file_name : string - The file name or path of the exported file. Example: flight_data.csv - Do not use forbidden characters, such as / in Linux/Unix and - `<, >, :, ", /, \\, | ?, *` in Windows. - variables : strings, optional - Names of the data variables which shall be exported. Must be Flight - class attributes which are instances of the Function class. Usage - example: test_flight.export_data('test.csv', 'z', 'angle_of_attack', - 'mach_number'). - time_step : float, optional - Time step desired for the data. If None, all integration time steps - will be exported. Otherwise, linear interpolation is carried out to - calculate values at the desired time steps. Example: 0.001. """ - # TODO: we should move this method to outside of class. - - # Fast evaluation for the most basic scenario - if time_step is None and len(variables) == 0: - np.savetxt( - file_name, - self.solution, - fmt="%.6f", - delimiter=",", - header="" - "Time (s)," - "X (m)," - "Y (m)," - "Z (m)," - "E0," - "E1," - "E2," - "E3," - "W1 (rad/s)," - "W2 (rad/s)," - "W3 (rad/s)", - ) - return - - # Not so fast evaluation for general case - if variables is None: - variables = [ - "x", - "y", - "z", - "vx", - "vy", - "vz", - "e0", - "e1", - "e2", - "e3", - "w1", - "w2", - "w3", - ] - - if time_step is None: - time_points = self.time - else: - time_points = np.arange(self.t_initial, self.t_final, time_step) - - exported_matrix = [time_points] - exported_header = "Time (s)" - - # Loop through variables, get points and names (for the header) - for variable in variables: - if variable in self.__dict__: - variable_function = self.__dict__[variable] - # Deal with decorated Flight methods - else: - try: - obj = getattr(self.__class__, variable) - variable_function = obj.__get__(self, self.__class__) - except AttributeError as exc: - raise AttributeError( - f"Variable '{variable}' not found in Flight class" - ) from exc - variable_points = variable_function(time_points) - exported_matrix += [variable_points] - exported_header += f", {variable_function.__outputs__[0]}" - - exported_matrix = np.array(exported_matrix).T # Fix matrix orientation - - np.savetxt( - file_name, - exported_matrix, - fmt="%.6f", - delimiter=",", - header=exported_header, - encoding="utf-8", + .. deprecated:: 1.11 + Use :class:`rocketpy.simulation.flight_data_exporter.FlightDataExporter` + and call ``.export_data(...)``. + """ + return FlightDataExporter(self).export_data( + file_name, *variables, time_step=time_step ) + @deprecated( + reason="Moved to FlightDataExporter.export_sensor_data()", + version="v1.12.0", + alternative="rocketpy.simulation.flight_data_exporter.FlightDataExporter.export_sensor_data", + ) def export_sensor_data(self, file_name, sensor=None): - """Exports sensors data to a file. The file format can be either .csv or - .json. - - Parameters - ---------- - file_name : str - The file name or path of the exported file. Example: flight_data.csv - Do not use forbidden characters, such as / in Linux/Unix and - `<, >, :, ", /, \\, | ?, *` in Windows. - sensor : Sensor, string, optional - The sensor to export data from. Can be given as a Sensor object or - as a string with the sensor name. If None, all sensors data will be - exported. Default is None. """ - if sensor is None: - data_dict = {} - for used_sensor, measured_data in self.sensor_data.items(): - data_dict[used_sensor.name] = measured_data - else: - # export data of only that sensor - data_dict = {} - - if not isinstance(sensor, str): - data_dict[sensor.name] = self.sensor_data[sensor] - else: # sensor is a string - matching_sensors = [s for s in self.sensor_data if s.name == sensor] - - if len(matching_sensors) > 1: - data_dict[sensor] = [] - for s in matching_sensors: - data_dict[s.name].append(self.sensor_data[s]) - elif len(matching_sensors) == 1: - data_dict[sensor] = self.sensor_data[matching_sensors[0]] - else: - raise ValueError("Sensor not found in the Flight.sensor_data.") - - with open(file_name, "w") as file: - json.dump(data_dict, file) - print("Sensor data exported to: ", file_name) + .. deprecated:: 1.11 + Use :class:`rocketpy.simulation.flight_data_exporter.FlightDataExporter` + and call ``.export_sensor_data(...)``. + """ + return FlightDataExporter(self).export_sensor_data(file_name, sensor=sensor) - def export_kml( # TODO: should be moved out of this class. + @deprecated( + reason="Moved to FlightDataExporter.export_kml()", + version="v1.12.0", + alternative="rocketpy.simulation.flight_data_exporter.FlightDataExporter.export_kml", + ) + def export_kml( self, file_name="trajectory.kml", time_step=None, @@ -3449,78 +3473,18 @@ def export_kml( # TODO: should be moved out of this class. color="641400F0", altitude_mode="absolute", ): - """Exports flight data to a .kml file, which can be opened with Google - Earth to display the rocket's trajectory. - - Parameters - ---------- - file_name : string - The file name or path of the exported file. Example: flight_data.csv - time_step : float, optional - Time step desired for the data. If None, all integration time steps - will be exported. Otherwise, linear interpolation is carried out to - calculate values at the desired time steps. Example: 0.001. - extrude: bool, optional - To be used if you want to project the path over ground by using an - extruded polygon. In case False only the linestring containing the - flight path will be created. Default is True. - color : str, optional - Color of your trajectory path, need to be used in specific kml - format. Refer to http://www.zonums.com/gmaps/kml_color/ for more - info. - altitude_mode: str - Select elevation values format to be used on the kml file. Use - 'relativetoground' if you want use Above Ground Level elevation, or - 'absolute' if you want to parse elevation using Above Sea Level. - Default is 'relativetoground'. Only works properly if the ground - level is flat. Change to 'absolute' if the terrain is to irregular - or contains mountains. """ - # Define time points vector - if time_step is None: - time_points = self.time - else: - time_points = np.arange(self.t_initial, self.t_final + time_step, time_step) - # Open kml file with simplekml library - kml = simplekml.Kml(open=1) - trajectory = kml.newlinestring(name="Rocket Trajectory - Powered by RocketPy") - - if altitude_mode == "relativetoground": - # In this mode the elevation data will be the Above Ground Level - # elevation. Only works properly if the ground level is similar to - # a plane, i.e. it might not work well if the terrain has mountains - coords = [ - ( - self.longitude.get_value_opt(t), - self.latitude.get_value_opt(t), - self.altitude.get_value_opt(t), - ) - for t in time_points - ] - trajectory.coords = coords - trajectory.altitudemode = simplekml.AltitudeMode.relativetoground - else: # altitude_mode == 'absolute' - # In this case the elevation data will be the Above Sea Level elevation - # Ensure you use the correct value on self.env.elevation, otherwise - # the trajectory path can be offset from ground - coords = [ - ( - self.longitude.get_value_opt(t), - self.latitude.get_value_opt(t), - self.z.get_value_opt(t), - ) - for t in time_points - ] - trajectory.coords = coords - trajectory.altitudemode = simplekml.AltitudeMode.absolute - # Modify style of trajectory linestring - trajectory.style.linestyle.color = color - trajectory.style.polystyle.color = color - if extrude: - trajectory.extrude = 1 - # Save the KML - kml.save(file_name) - print("File ", file_name, " saved with success!") + .. deprecated:: 1.11 + Use :class:`rocketpy.simulation.flight_data_exporter.FlightDataExporter` + and call ``.export_kml(...)``. + """ + return FlightDataExporter(self).export_kml( + file_name=file_name, + time_step=time_step, + extrude=extrude, + color=color, + altitude_mode=altitude_mode, + ) def info(self): """Prints out a summary of the data available about the Flight.""" @@ -3580,6 +3544,7 @@ def to_dict(self, **kwargs): "M1": self.M1, "M2": self.M2, "M3": self.M3, + "net_thrust": self.net_thrust, } if kwargs.get("include_outputs", False): From 5a47616a096076db539b05d31329b1d67df9bb2a Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 11 Oct 2025 02:11:04 +0530 Subject: [PATCH 35/56] MNT: make format and renaming 3 dof example - MNT: make format changes to flight.py - MNT: "3_DOF_TRIAL.ipynb" renamed to "3_dof_trial_sim.ipynb" --- ..._DOF_TRIAL.ipynb => 3_dof_trial_sim.ipynb} | 16 ++-- rocketpy/simulation/flight.py | 93 ++++++++++--------- 2 files changed, 56 insertions(+), 53 deletions(-) rename docs/examples/{3_DOF_TRIAL.ipynb => 3_dof_trial_sim.ipynb} (99%) diff --git a/docs/examples/3_DOF_TRIAL.ipynb b/docs/examples/3_dof_trial_sim.ipynb similarity index 99% rename from docs/examples/3_DOF_TRIAL.ipynb rename to docs/examples/3_dof_trial_sim.ipynb index f5daefa0f..d2ea01e7f 100644 --- a/docs/examples/3_DOF_TRIAL.ipynb +++ b/docs/examples/3_dof_trial_sim.ipynb @@ -10,8 +10,9 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from scipy.signal import savgol_filter\n", - "from rocketpy.rocket.rocket import PointMassRocket\n", - "from rocketpy import Flight, Environment, Function, PointMassMotor\n" + "\n", + "from rocketpy import Environment, Flight, Function, PointMassMotor\n", + "from rocketpy.rocket.rocket import PointMassRocket" ] }, { @@ -115,12 +116,13 @@ "def thrust_profile(t):\n", " return 250 if 0 <= t <= 3 else 0\n", "\n", + "\n", "motor = PointMassMotor(\n", " thrust_source=thrust_profile,\n", " dry_mass=1.0,\n", " propellant_initial_mass=0.5,\n", " propellant_final_mass=0.0,\n", - " burn_time=3.0\n", + " burn_time=3.0,\n", ")" ] }, @@ -159,11 +161,11 @@ " environment=env,\n", " rail_length=5.0,\n", " inclination=85, # degrees from horizontal\n", - " heading=90, # east\n", + " heading=90, # east\n", " simulation_mode=\"3 DOF\",\n", " terminate_on_apogee=False,\n", " max_time=20,\n", - " name=\"Test3DOF\"\n", + " name=\"Test3DOF\",\n", ")" ] }, @@ -193,7 +195,7 @@ "plt.ylabel(\"Altitude (m)\")\n", "plt.title(\"3 DOF Rocket Altitude vs Time\")\n", "plt.grid(True)\n", - "plt.show()\n" + "plt.show()" ] }, { @@ -214,7 +216,7 @@ "print(f\"Simulation Mode: {flight.simulation_mode}\")\n", "\n", "# Display additional details about the equations if available in the simulation object\n", - "if hasattr(flight, 'equations_of_motion'):\n", + "if hasattr(flight, \"equations_of_motion\"):\n", " print(f\"Equations of Motion: {flight.equations_of_motion}\")\n", "else:\n", " print(\"No explicit equations of motion found in flight class\")" diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 796e01d29..a4bffe8d6 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -764,27 +764,28 @@ def __simulate(self, verbose): index=phase_index + i, ) i += 1 - # Create flight phase for time after inflation + # Create flight phase for time after inflation callbacks = [ - lambda self, parachute_cd_s=parachute.cd_s: setattr( - self, "parachute_cd_s", parachute_cd_s - ), - lambda self, parachute_radius=parachute.radius: setattr( - self, "parachute_radius", parachute_radius - ), - lambda self, parachute_height=parachute.height: setattr( - self, "parachute_height", parachute_height - ), - lambda self, parachute_porosity=parachute.porosity: setattr( - self, "parachute_porosity", parachute_porosity - ), - lambda self, - added_mass_coefficient=parachute.added_mass_coefficient: setattr( - self, - "parachute_added_mass_coefficient", - added_mass_coefficient, - ), - ] + lambda self, parachute_cd_s=parachute.cd_s: setattr( + self, "parachute_cd_s", parachute_cd_s + ), + lambda self, parachute_radius=parachute.radius: setattr( + self, "parachute_radius", parachute_radius + ), + lambda self, parachute_height=parachute.height: setattr( + self, "parachute_height", parachute_height + ), + lambda self, + parachute_porosity=parachute.porosity: setattr( + self, "parachute_porosity", parachute_porosity + ), + lambda self, + added_mass_coefficient=parachute.added_mass_coefficient: setattr( + self, + "parachute_added_mass_coefficient", + added_mass_coefficient, + ), + ] self.flight_phases.add_phase( node.t + parachute.lag, self.u_dot_parachute, @@ -1502,17 +1503,17 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals # Thrust correction parameters pressure = self.env.pressure.get_value_opt(z) # Determine current behavior - if self.rocket.motor.burn_start_time < t < self.rocket.motor.burn_out_time: + if self.rocket.motor.burn_start_time < t < self.rocket.motor.burn_out_time: # Motor burning # Retrieve important motor quantities - # Inertias - motor_I_33_at_t = self.rocket.motor.I_33.get_value_opt(t) - motor_I_11_at_t = self.rocket.motor.I_11.get_value_opt(t) - motor_I_33_derivative_at_t = self.rocket.motor.I_33.differentiate( - t, dx=1e-6 - ) - motor_I_11_derivative_at_t = self.rocket.motor.I_11.differentiate( - t, dx=1e-6 + # Inertias + motor_I_33_at_t = self.rocket.motor.I_33.get_value_opt(t) + motor_I_11_at_t = self.rocket.motor.I_11.get_value_opt(t) + motor_I_33_derivative_at_t = self.rocket.motor.I_33.differentiate( + t, dx=1e-6 + ) + motor_I_11_derivative_at_t = self.rocket.motor.I_11.differentiate( + t, dx=1e-6 ) # Mass mass_flow_rate_at_t = self.rocket.motor.mass_flow_rate.get_value_opt(t) @@ -1530,11 +1531,11 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals else: # Motor stopped # Inertias - ( - motor_I_33_at_t, - motor_I_11_at_t, - motor_I_33_derivative_at_t, - motor_I_11_derivative_at_t, + ( + motor_I_33_at_t, + motor_I_11_at_t, + motor_I_33_derivative_at_t, + motor_I_11_derivative_at_t, ) = (0, 0, 0, 0) # Mass mass_flow_rate_at_t, propellant_mass_at_t = 0, 0 @@ -1542,8 +1543,8 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals net_thrust = 0 # Retrieve important quantities - # Inertias - rocket_dry_I_33 = self.rocket.dry_I_33 + # Inertias + rocket_dry_I_33 = self.rocket.dry_I_33 rocket_dry_I_11 = self.rocket.dry_I_11 # Mass rocket_dry_mass = self.rocket.dry_mass # already with motor's dry mass @@ -1552,15 +1553,15 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals propellant_mass_at_t + rocket_dry_mass ) # Geometry - # b = -self.rocket.distance_rocket_propellant - b = ( - -( - self.rocket.center_of_propellant_position.get_value_opt(0) - - self.rocket.center_of_dry_mass_position - ) - * self.rocket._csys - ) - c = self.rocket.nozzle_to_cdm + # b = -self.rocket.distance_rocket_propellant + b = ( + -( + self.rocket.center_of_propellant_position.get_value_opt(0) + - self.rocket.center_of_dry_mass_position + ) + * self.rocket._csys + ) + c = self.rocket.nozzle_to_cdm nozzle_radius = self.rocket.motor.nozzle_radius # Prepare transformation matrix a11 = 1 - 2 * (e2**2 + e3**2) @@ -1611,7 +1612,7 @@ def u_dot(self, t, u, post_processing=False): # pylint: disable=too-many-locals else: R3 += air_brakes_force # Off center moment - M1 += self.rocket.cp_eccentricity_y * R3 + M1 += self.rocket.cp_eccentricity_y * R3 M2 -= self.rocket.cp_eccentricity_x * R3 # Get rocket velocity in body frame vx_b = a11 * vx + a21 * vy + a31 * vz From 14c81f040761e256acb83b3846ea2db46b86757d Mon Sep 17 00:00:00 2001 From: Ishan <99824864+aZira371@users.noreply.github.com> Date: Mon, 13 Oct 2025 23:49:18 +0530 Subject: [PATCH 36/56] MNT: Update flight.py to remove duplicate line Co-authored-by: Gui-FernandesBR <63590233+Gui-FernandesBR@users.noreply.github.com> --- rocketpy/simulation/flight.py | 1 - 1 file changed, 1 deletion(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index a4bffe8d6..86fcf2bb3 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -2160,7 +2160,6 @@ def u_dot_parachute(self, t, u, post_processing=False): # (1 - eta) * t**5 + eta * (to**3) * (t**2) # ) # Rdot = 0 - # tf = 8 * nominal diameter / velocity at line stretch # tf = 8 * nominal diameter / velocity at line stretch From 809ed84f581f986daefb31bdab1bacfd586e2307 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 25 Oct 2025 00:22:15 +0530 Subject: [PATCH 37/56] MNT: correcting indentation in flight.py - MNT: indentation error in flight class for callback under parachute trigger --- rocketpy/simulation/flight.py | 43 +++++++++++++++++------------------ 1 file changed, 21 insertions(+), 22 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index a4bffe8d6..96ef3ac34 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -764,28 +764,27 @@ def __simulate(self, verbose): index=phase_index + i, ) i += 1 - # Create flight phase for time after inflation - callbacks = [ - lambda self, parachute_cd_s=parachute.cd_s: setattr( - self, "parachute_cd_s", parachute_cd_s - ), - lambda self, parachute_radius=parachute.radius: setattr( - self, "parachute_radius", parachute_radius - ), - lambda self, parachute_height=parachute.height: setattr( - self, "parachute_height", parachute_height - ), - lambda self, - parachute_porosity=parachute.porosity: setattr( - self, "parachute_porosity", parachute_porosity - ), - lambda self, - added_mass_coefficient=parachute.added_mass_coefficient: setattr( - self, - "parachute_added_mass_coefficient", - added_mass_coefficient, - ), - ] + # Create flight phase for time after inflation + callbacks = [ + lambda self, parachute_cd_s=parachute.cd_s: setattr( + self, "parachute_cd_s", parachute_cd_s + ), + lambda self, parachute_radius=parachute.radius: setattr( + self, "parachute_radius", parachute_radius + ), + lambda self, parachute_height=parachute.height: setattr( + self, "parachute_height", parachute_height + ), + lambda self, parachute_porosity=parachute.porosity: setattr( + self, "parachute_porosity", parachute_porosity + ), + lambda self, + added_mass_coefficient=parachute.added_mass_coefficient: setattr( + self, + "parachute_added_mass_coefficient", + added_mass_coefficient, + ), + ] self.flight_phases.add_phase( node.t + parachute.lag, self.u_dot_parachute, From 497e6a284900ad2ca32e154295462b72814c36d9 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 25 Oct 2025 00:31:26 +0530 Subject: [PATCH 38/56] MNT: docstring for pointmassrocket in rocket.py - MNT: added a short doc string describing pointmassrocket class --- rocketpy/rocket/rocket.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 9991f8eb6..2c9f73f1d 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2105,6 +2105,13 @@ def from_dict(cls, data): class PointMassRocket(Rocket): + """ + A simplified rocket class for trajectory simulations where the rocket is modeled as a point mass. + + This class omits rotational dynamics and complex inertial properties, + focusing solely on translational (3-DOF) motion based on mass and aerodynamics. + Appropriate for educational use, quick analyses, or when rotational effects are negligible. + """ def __init__( self, radius: float = 0.05, From 535104b945b483e5443c8bd7d9762c9a350d3d52 Mon Sep 17 00:00:00 2001 From: Ishan Date: Sat, 25 Oct 2025 00:55:08 +0530 Subject: [PATCH 39/56] MNT: removing property from rocket.py poitmassrocket - MNT: properties which are similar to attributes are not needed were removed from pointmassrocket - MNT: removing default set values for attributes for pointmassrocket --- rocketpy/rocket/rocket.py | 36 +++++------------------------------- 1 file changed, 5 insertions(+), 31 deletions(-) diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 2c9f73f1d..82e93c065 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2114,11 +2114,11 @@ class PointMassRocket(Rocket): """ def __init__( self, - radius: float = 0.05, - mass: float = 0, - center_of_mass_without_motor: float = 0, - power_off_drag: float = 0.4, - power_on_drag: float = 0.4, + radius: float, + mass: float, + center_of_mass_without_motor: float, + power_off_drag: float, + power_on_drag: float, ): self._center_of_mass_without_motor_pointmass = center_of_mass_without_motor self._center_of_dry_mass_position = center_of_mass_without_motor @@ -2141,29 +2141,3 @@ def __init__( center_of_mass_without_motor=center_of_mass_without_motor, ) - # ------------------------------------------------------------------ - # Center of Mass Properties - # ------------------------------------------------------------------ - @property - def center_of_mass_without_motor(self): - return self._center_of_mass_without_motor_pointmass - - @center_of_mass_without_motor.setter - def center_of_mass_without_motor(self, value): - self._center_of_mass_without_motor_pointmass = value - - @property - def center_of_dry_mass_position(self): - return self._center_of_dry_mass_position - - @center_of_dry_mass_position.setter - def center_of_dry_mass_position(self, value): - self._center_of_dry_mass_position = value - - @property - def center_of_mass(self): - return self._center_of_mass - - @center_of_mass.setter - def center_of_mass(self, value): - self._center_of_mass = value From b624ccce8e1a73ea1436be7409190ba93c62b09b Mon Sep 17 00:00:00 2001 From: Ishan Date: Tue, 25 Nov 2025 02:52:10 +0530 Subject: [PATCH 40/56] ENH: first version of tests for 3dof rocketpy - ENH: added first versions of tests using python assert statements for pointmassmotor, pointmassrocket and 3dof segments of flight. --- tests/unit/motors/test_point_mass_motor.py | 33 ++++++++++++++++ tests/unit/rocket/test_point_mass_rocket.py | 43 +++++++++++++++++++++ tests/unit/simulation/test_flight_3dof.py | 43 +++++++++++++++++++++ 3 files changed, 119 insertions(+) create mode 100644 tests/unit/motors/test_point_mass_motor.py create mode 100644 tests/unit/rocket/test_point_mass_rocket.py create mode 100644 tests/unit/simulation/test_flight_3dof.py diff --git a/tests/unit/motors/test_point_mass_motor.py b/tests/unit/motors/test_point_mass_motor.py new file mode 100644 index 000000000..a5f35e27c --- /dev/null +++ b/tests/unit/motors/test_point_mass_motor.py @@ -0,0 +1,33 @@ +import pytest +from rocketpy.motors.point_mass_motor import PointMassMotor + +def test_init_required_args(): + m = PointMassMotor(thrust_source=10, dry_mass=1.0, propellant_initial_mass=0.5, burn_time=1.2) + assert isinstance(m, PointMassMotor) + assert m.dry_mass == 1.0 + assert m.propellant_initial_mass == 0.5 + +def test_missing_required_args_raises(): + with pytest.raises(ValueError): + PointMassMotor(10, 1.0, None, 1) + with pytest.raises(ValueError): + PointMassMotor(10, 1.0, 1.2) + with pytest.raises(TypeError): + PointMassMotor([], 1.0, 1.2, 1) + +def test_exhaustvelocity_and_totalmassflowrate(): + m = PointMassMotor(thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0) + ev_func = m.exhaustvelocity() + assert hasattr(ev_func, 'getValue') + tmf_func = m.totalmassflowrate + assert hasattr(tmf_func, 'getValue') + +def test_zero_inertias(): + m = PointMassMotor(thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0) + assert m.propellantI11().getValue(0) == 0 + assert m.propellantI22().getValue(0) == 0 + assert m.propellantI33().getValue(0) == 0 + +def test_callable_thrust(): + m = PointMassMotor(thrust_source=lambda t: 100*t, dry_mass=2, propellant_initial_mass=2, burn_time=4) + assert m.thrust_source(0.5) == 50 diff --git a/tests/unit/rocket/test_point_mass_rocket.py b/tests/unit/rocket/test_point_mass_rocket.py new file mode 100644 index 000000000..35029eda7 --- /dev/null +++ b/tests/unit/rocket/test_point_mass_rocket.py @@ -0,0 +1,43 @@ +from rocketpy.rocket.rocket import PointMassRocket +from rocketpy.motors.point_mass_motor import PointMassMotor + +def test_point_mass_rocket_basic_properties(): + motor = PointMassMotor(10, 1.0, 0.5, 1.0) + rocket = PointMassRocket( + radius=0.05, + mass=2.0, + center_of_mass_without_motor=0.1, + power_off_drag=0.7, + power_on_drag=0.8 + ) + rocket.addmotor(motor, 0) + assert rocket.radius == 0.05 + assert rocket.mass == 2.0 + assert rocket.motor is motor + assert rocket.dryI11 == 0.0 # 3-DOF: inertias are forced zero + +def test_structural_and_total_mass(): + """Test structural and total mass properties of point mass rocket.""" + motor = PointMassMotor(10, 1.0, 1.1, 2.0) + rocket = PointMassRocket( + radius=0.03, + mass=2.5, + center_of_mass_without_motor=0, + power_off_drag=0.3, + power_on_drag=0.4 + ) + rocket.addmotor(motor, 0) + + # Test that structural mass and total mass are calculated correctly + assert rocket.mass == 2.5 + expected_total_mass = rocket.mass + motor.propellant_initial_mass + assert abs(rocket.total_mass(0) - expected_total_mass) < 1e-6 + +def test_add_motor_overwrites(): + """Test that adding a motor overwrites the previous motor.""" + motor1 = PointMassMotor(10, 1, 1.1, 2.0) + motor2 = PointMassMotor(20, 2, 1.5, 3.0) + rocket = PointMassRocket(0.02, 1.0, 0.0, 0.2, 0.5) + rocket.addmotor(motor1, position=0) + rocket.addmotor(motor2, position=0) + assert rocket.motor == motor2 diff --git a/tests/unit/simulation/test_flight_3dof.py b/tests/unit/simulation/test_flight_3dof.py new file mode 100644 index 000000000..64b3c1c0c --- /dev/null +++ b/tests/unit/simulation/test_flight_3dof.py @@ -0,0 +1,43 @@ +import pytest +import numpy as np +from rocketpy.simulation.flight import Flight +from rocketpy.rocket.rocket import PointMassRocket +from rocketpy.motors.point_mass_motor import PointMassMotor + +class DummyEnv: + # Minimal stub, adapt with real Environment in your RocketPy setup + windvelocityx = windvelocityy = speedofsound = pressure = density = dynamicviscosity = lambda self: 0 + gravity = lambda self: 9.81 + elevation = 0 + def __getattr__(self, name): + return lambda *a, **k: 0 + +def make_simple_3dof_components(): + env = DummyEnv() + motor = PointMassMotor(10, dry_mass=1.0, propellant_initial_mass=0.5, burn_time=2.2) + rocket = PointMassRocket(0.05, 2.0, 0.1, 0.5, 0.6) + rocket.addmotor(motor, 0) + return env, rocket + +def test_3dof_simulation_mode_autoset(): + env, rocket = make_simple_3dof_components() + flight = Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="3 DOF") + assert flight.simulation_mode == "3 DOF" + +def test_3dof_simulation_mode_warning(monkeypatch): + env, rocket = make_simple_3dof_components() + monkeypatch.setattr("warnings.warn", lambda *a, **k: None) + f = Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="6 DOF") + assert f.simulation_mode == "3 DOF" + +def test_3dof_equations_of_motion_functions(): + env, rocket = make_simple_3dof_components() + flight = Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="3 DOF") + u = [0]*13 # Proper size for generalized state for 3/6 DOF probably + result = flight.udotgeneralized3dof(0, u) + assert isinstance(result, list) or isinstance(result, np.ndarray) + +def test_invalid_simulation_mode(): + env, rocket = make_simple_3dof_components() + with pytest.raises(ValueError): + Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="2 DOF") From 9540a6812ad8675671bedc2372f3254c5156ddfd Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:13:17 -0300 Subject: [PATCH 41/56] adds docs --- docs/user/index.rst | 3 +- docs/user/three_dof_simulation.rst | 424 +++++++++++++++++++++++++++++ 2 files changed, 426 insertions(+), 1 deletion(-) create mode 100644 docs/user/three_dof_simulation.rst diff --git a/docs/user/index.rst b/docs/user/index.rst index 8620e3ad5..113afc3aa 100644 --- a/docs/user/index.rst +++ b/docs/user/index.rst @@ -7,10 +7,11 @@ RocketPy's User Guide Installation and Requirements First Simulation + 3-DOF Simulations .. toctree:: :maxdepth: 1 - :caption: Main Classes Usage + :caption: Main Classes Usage Positions and Coordinate Systems Motors diff --git a/docs/user/three_dof_simulation.rst b/docs/user/three_dof_simulation.rst new file mode 100644 index 000000000..5375a9eb7 --- /dev/null +++ b/docs/user/three_dof_simulation.rst @@ -0,0 +1,424 @@ +.. _threedofsimulation: + +3-DOF Rocket Simulations +========================= + +RocketPy supports simplified 3-DOF (3 Degrees of Freedom) trajectory simulations, +where the rocket is modeled as a point mass. This mode is useful for quick +analyses, educational purposes, or when rotational dynamics are negligible. + +.. contents:: Table of Contents + :local: + :depth: 2 + +Overview +-------- + +In a 3-DOF simulation, the rocket's motion is described by three translational +degrees of freedom (x, y, z positions), ignoring all rotational dynamics. This +simplification: + +- **Reduces computational complexity** - Faster simulations for initial design studies +- **Focuses on trajectory** - Ideal for apogee predictions and flight path analysis +- **Simplifies model setup** - Requires fewer input parameters than full 6-DOF + +When to Use 3-DOF Simulations +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +3-DOF simulations are appropriate when: + +- You need quick trajectory estimates during preliminary design +- Rotational stability is not a concern (e.g., highly stable rockets) +- You're performing educational demonstrations +- You want to validate basic flight performance before detailed analysis + +.. warning:: + + 3-DOF simulations **do not** account for: + + - Rocket rotation and attitude dynamics + - Stability margin and center of pressure effects + - Aerodynamic moments and angular motion + - Fin effectiveness and control surfaces + + For complete flight analysis including stability, use standard 6-DOF simulations. + +Setting Up a 3-DOF Simulation +------------------------------ + +A 3-DOF simulation requires three main components: + +1. :class:`rocketpy.PointMassMotor` - Motor without rotational inertia +2. :class:`rocketpy.PointMassRocket` - Rocket without rotational properties +3. :class:`rocketpy.Flight` with ``simulation_mode="3 DOF"`` + +Step 1: Define the Environment +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The environment setup is identical to standard simulations: + +.. jupyter-execute:: + + from rocketpy import Environment + + env = Environment( + latitude=32.990254, + longitude=-106.974998, + elevation=1400 + ) + + env.set_atmospheric_model(type="StandardAtmosphere") + +Step 2: Create a PointMassMotor +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The :class:`rocketpy.PointMassMotor` class represents a motor as a point mass, +without rotational inertia or grain geometry: + +.. jupyter-execute:: + + from rocketpy import PointMassMotor + + # Using a thrust curve file + motor = PointMassMotor( + thrust_source="../data/motors/cesaroni/Cesaroni_M1670.eng", + dry_mass=1.815, + propellant_initial_mass=2.5, + ) + +You can also define a constant thrust profile: + +.. jupyter-execute:: + + # Constant thrust of 250 N for 3 seconds + motor_constant = PointMassMotor( + thrust_source=250, + dry_mass=1.0, + propellant_initial_mass=0.5, + burn_time=3.0, + ) + +Or use a custom thrust function: + +.. jupyter-execute:: + + def custom_thrust(t): + """Custom thrust profile: ramps up, plateaus, then ramps down""" + if t < 0.5: + return 500 * t / 0.5 # Ramp up + elif t < 2.5: + return 500 # Plateau + elif t < 3.0: + return 500 * (3.0 - t) / 0.5 # Ramp down + else: + return 0 + + motor_custom = PointMassMotor( + thrust_source=custom_thrust, + dry_mass=1.2, + propellant_initial_mass=0.6, + burn_time=3.0, + ) + +.. seealso:: + + For detailed information about :class:`rocketpy.PointMassMotor` parameters, + see the :ref:`API reference `. + +Step 3: Create a PointMassRocket +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The :class:`rocketpy.PointMassRocket` class represents a rocket as a point mass: + +.. jupyter-execute:: + + from rocketpy import PointMassRocket + + rocket = PointMassRocket( + radius=0.0635, # meters + mass=5.0, # kg (dry mass without motor) + center_of_mass_without_motor=0.0, + power_off_drag=0.5, # Constant drag coefficient + power_on_drag=0.5, + ) + + # Add the motor + rocket.add_motor(motor, position=0) + +You can also specify drag as a function of Mach number: + +.. jupyter-execute:: + + # Drag coefficient vs Mach number + drag_curve = [ + [0.0, 0.50], + [0.5, 0.48], + [0.9, 0.52], + [1.1, 0.65], + [2.0, 0.55], + [3.0, 0.50], + ] + + rocket_with_drag_curve = PointMassRocket( + radius=0.0635, + mass=5.0, + center_of_mass_without_motor=0.0, + power_off_drag=drag_curve, + power_on_drag=drag_curve, + ) + +.. note:: + + Unlike the standard :class:`rocketpy.Rocket` class, :class:`rocketpy.PointMassRocket` + does **not** support: + + - Aerodynamic surfaces (fins, nose cones) + - Inertia tensors + - Center of pressure calculations + - Stability margin analysis + +Step 4: Run the Simulation +^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Create a :class:`rocketpy.Flight` object with ``simulation_mode="3 DOF"``: + +.. jupyter-execute:: + + from rocketpy import Flight + + flight = Flight( + rocket=rocket, + environment=env, + rail_length=5.2, + inclination=85, # degrees from horizontal + heading=0, # degrees (0 = North, 90 = East) + simulation_mode="3 DOF", + max_time=100, + terminate_on_apogee=False, + ) + +.. important:: + + The ``simulation_mode="3 DOF"`` parameter is **required** to enable 3-DOF mode. + Without it, RocketPy will attempt a full 6-DOF simulation and may fail with + :class:`rocketpy.PointMassRocket`. + +Analyzing Results +----------------- + +Once the simulation is complete, you can access trajectory data and generate plots. + +Trajectory Information +^^^^^^^^^^^^^^^^^^^^^^ + +View key flight metrics: + +.. jupyter-execute:: + + flight.info() + +This will display: + +- Apogee altitude and time +- Maximum velocity +- Flight time +- Landing position + +Plotting Trajectory +^^^^^^^^^^^^^^^^^^^ + +Visualize the 3D flight path: + +.. jupyter-execute:: + + flight.plots.trajectory_3d() + +.. note:: + + In 3-DOF mode, the rocket maintains a fixed orientation (no pitch, yaw, or roll), + so attitude plots are not meaningful. + +Available Plots +^^^^^^^^^^^^^^^ + +The following plots are available for 3-DOF simulations: + +.. jupyter-execute:: + + # Altitude vs time + flight.z.plot() + + # Velocity components + flight.vx.plot() + flight.vy.plot() + flight.vz.plot() + + # Total velocity + flight.speed.plot() + + # Acceleration + flight.ax.plot() + +Export Data +^^^^^^^^^^^ + +Export trajectory data to CSV: + +.. jupyter-execute:: + + from rocketpy.simulation import FlightDataExporter + + exporter = FlightDataExporter(flight) + exporter.export_data( + "trajectory_3dof.csv", + "x", + "y", + "z", + "vx", + "vy", + "vz", + ) + +Complete Example +---------------- + +Here's a complete 3-DOF simulation from start to finish: + +.. jupyter-execute:: + + from rocketpy import Environment, PointMassMotor, PointMassRocket, Flight + + # 1. Environment + env = Environment( + latitude=39.3897, + longitude=-8.2889, + elevation=100 + ) + env.set_atmospheric_model(type="StandardAtmosphere") + + # 2. Motor + motor = PointMassMotor( + thrust_source=1500, # Constant 1500 N thrust + dry_mass=2.0, + propellant_initial_mass=3.0, + burn_time=4.0, + ) + + # 3. Rocket + rocket = PointMassRocket( + radius=0.0635, + mass=8.0, + center_of_mass_without_motor=0.0, + power_off_drag=0.45, + power_on_drag=0.45, + ) + rocket.add_motor(motor, position=0) + + # 4. Simulate + flight = Flight( + rocket=rocket, + environment=env, + rail_length=5.2, + inclination=85, + heading=0, + simulation_mode="3 DOF", + max_time=120, + ) + + # 5. Results + print(f"Apogee: {flight.apogee:.2f} m") + print(f"Max velocity: {flight.max_speed:.2f} m/s") + print(f"Flight time: {flight.t_final:.2f} s") + + flight.plots.trajectory_3d() + +Comparison: 3-DOF vs 6-DOF +--------------------------- + +Understanding the differences between simulation modes: + +.. list-table:: 3-DOF vs 6-DOF Comparison + :header-rows: 1 + :widths: 30 35 35 + + * - Feature + - 3-DOF + - 6-DOF + * - Computational Speed + - Fast + - Slower + * - Rocket Orientation + - Fixed (no rotation) + - Full attitude dynamics + * - Stability Analysis + - ❌ Not available + - ✅ Full stability margin + * - Aerodynamic Surfaces + - ❌ Not modeled + - ✅ Fins, nose, tail + * - Center of Pressure + - ❌ Not computed + - ✅ Computed + * - Moments of Inertia + - ❌ Not needed + - ✅ Required + * - Use Cases + - Quick estimates, education + - Detailed design, stability + * - Trajectory Accuracy + - Good for stable rockets + - Highly accurate + +Best Practices +-------------- + +1. **Validate with 6-DOF**: After getting initial results with 3-DOF, validate + critical designs with full 6-DOF simulations. + +2. **Check Drag Coefficient**: Ensure your drag coefficient is realistic for + your rocket's geometry. Use wind tunnel data or CFD if available. + +3. **Use Realistic Launch Conditions**: Even in 3-DOF mode, wind conditions + and rail length affect trajectory. + +4. **Document Assumptions**: Clearly document that your analysis uses 3-DOF + and its limitations. + +Limitations and Warnings +------------------------ + +.. danger:: + + **Critical Limitations:** + + - **No stability checking** - The simulation cannot detect unstable rockets + - **No attitude control** - Air brakes and thrust vectoring are not supported + - **Assumes perfect alignment** - Rocket always points along velocity vector + - **No wind weathercocking** - Wind effects on orientation are ignored + +.. warning:: + + 3-DOF simulations should **not** be used for: + + - Final design verification + - Stability margin analysis + - Control system design + - Fin sizing and optimization + - Safety-critical trajectory predictions + +See Also +-------- + +- :ref:`First Simulation ` - Standard 6-DOF simulation tutorial +- :ref:`Rocket Class Usage ` - Full rocket modeling capabilities +- :ref:`Flight Class Usage ` - Complete flight simulation options +- :doc:`../examples/3_dof_trial_sim` - Jupyter notebook example + +Further Reading +--------------- + +For more information about point mass trajectory simulations: + +- `Trajectory Optimization `_ +- `Equations of Motion `_ +- `Point Mass Model `_ From 699236e2bdf6431ca38290a0e5bdb324c7cbd22c Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:13:43 -0300 Subject: [PATCH 42/56] Refactor PointMassRocket class into its own module for improved organization and clarity --- rocketpy/rocket/__init__.py | 3 +- rocketpy/rocket/point_mass_rocket.py | 71 ++++++++++++++++++++++++++++ rocketpy/rocket/rocket.py | 39 --------------- 3 files changed, 73 insertions(+), 40 deletions(-) create mode 100644 rocketpy/rocket/point_mass_rocket.py diff --git a/rocketpy/rocket/__init__.py b/rocketpy/rocket/__init__.py index 13394dd56..463cbe3b3 100644 --- a/rocketpy/rocket/__init__.py +++ b/rocketpy/rocket/__init__.py @@ -14,4 +14,5 @@ ) from rocketpy.rocket.components import Components from rocketpy.rocket.parachute import Parachute -from rocketpy.rocket.rocket import PointMassRocket, Rocket +from rocketpy.rocket.point_mass_rocket import PointMassRocket +from rocketpy.rocket.rocket import Rocket diff --git a/rocketpy/rocket/point_mass_rocket.py b/rocketpy/rocket/point_mass_rocket.py new file mode 100644 index 000000000..ebea59c9b --- /dev/null +++ b/rocketpy/rocket/point_mass_rocket.py @@ -0,0 +1,71 @@ +"""Point mass rocket class for simplified 3-DOF trajectory simulations.""" + +from rocketpy.rocket.rocket import Rocket + + +class PointMassRocket(Rocket): + """A simplified rocket class for trajectory simulations where the rocket + is modeled as a point mass. + + This class omits rotational dynamics and complex inertial properties, + focusing solely on translational (3-DOF) motion based on mass and + aerodynamics. Appropriate for educational use, quick analyses, or when + rotational effects are negligible. + + Parameters + ---------- + radius : float + Rocket's largest radius in meters. + mass : float + Rocket's mass without motor in kg. + center_of_mass_without_motor : float + Position, in meters, of the rocket's center of mass without motor + relative to the rocket's coordinate system. + power_off_drag : float, callable, array, string, Function + Drag coefficient as a function of Mach number when the motor is off. + power_on_drag : float, callable, array, string, Function + Drag coefficient as a function of Mach number when the motor is on. + + Attributes + ---------- + radius : float + Rocket's largest radius in meters. + mass : float + Rocket's mass without motor in kg. + center_of_mass_without_motor : float + Position, in meters, of the rocket's center of mass without motor + relative to the rocket's coordinate system. + power_off_drag : Function + Drag coefficient as a function of Mach number when the motor is off. + power_on_drag : Function + Drag coefficient as a function of Mach number when the motor is on. + """ + + def __init__( + self, + radius: float, + mass: float, + center_of_mass_without_motor: float, + power_off_drag: float, + power_on_drag: float, + ): + self._center_of_mass_without_motor_pointmass = center_of_mass_without_motor + self._center_of_dry_mass_position = center_of_mass_without_motor + self._center_of_mass = center_of_mass_without_motor + # Dry inertias are zero for point mass + self._dry_I_11 = 0.0 + self._dry_I_22 = 0.0 + self._dry_I_33 = 0.0 + self._dry_I_12 = 0.0 + self._dry_I_13 = 0.0 + self._dry_I_23 = 0.0 + + # Call base init with safe defaults + super().__init__( + radius=radius, + mass=mass, + inertia=(0, 0, 0), + power_off_drag=power_off_drag, + power_on_drag=power_on_drag, + center_of_mass_without_motor=center_of_mass_without_motor, + ) diff --git a/rocketpy/rocket/rocket.py b/rocketpy/rocket/rocket.py index 82e93c065..1112a98f3 100644 --- a/rocketpy/rocket/rocket.py +++ b/rocketpy/rocket/rocket.py @@ -2102,42 +2102,3 @@ def from_dict(cls, data): rocket._add_controllers(controller) return rocket - - -class PointMassRocket(Rocket): - """ - A simplified rocket class for trajectory simulations where the rocket is modeled as a point mass. - - This class omits rotational dynamics and complex inertial properties, - focusing solely on translational (3-DOF) motion based on mass and aerodynamics. - Appropriate for educational use, quick analyses, or when rotational effects are negligible. - """ - def __init__( - self, - radius: float, - mass: float, - center_of_mass_without_motor: float, - power_off_drag: float, - power_on_drag: float, - ): - self._center_of_mass_without_motor_pointmass = center_of_mass_without_motor - self._center_of_dry_mass_position = center_of_mass_without_motor - self._center_of_mass = center_of_mass_without_motor - # Dry inertias are zero for point mass - self._dry_I_11 = 0.0 - self._dry_I_22 = 0.0 - self._dry_I_33 = 0.0 - self._dry_I_12 = 0.0 - self._dry_I_13 = 0.0 - self._dry_I_23 = 0.0 - - # Call base init with safe defaults - super().__init__( - radius=radius, - mass=mass, - inertia=(0, 0, 0), - power_off_drag=power_off_drag, - power_on_drag=power_on_drag, - center_of_mass_without_motor=center_of_mass_without_motor, - ) - From ae7d4b0069b5c8b639ef174dd1fc025faf44dfa5 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:18:19 -0300 Subject: [PATCH 43/56] refactored tests --- tests/unit/motors/test_point_mass_motor.py | 31 ++++-- tests/unit/rocket/test_point_mass_rocket.py | 11 +- tests/unit/simulation/test_flight_3dof.py | 113 ++++++++++++++------ 3 files changed, 112 insertions(+), 43 deletions(-) diff --git a/tests/unit/motors/test_point_mass_motor.py b/tests/unit/motors/test_point_mass_motor.py index a5f35e27c..4741c712b 100644 --- a/tests/unit/motors/test_point_mass_motor.py +++ b/tests/unit/motors/test_point_mass_motor.py @@ -1,13 +1,20 @@ import pytest + from rocketpy.motors.point_mass_motor import PointMassMotor + def test_init_required_args(): - m = PointMassMotor(thrust_source=10, dry_mass=1.0, propellant_initial_mass=0.5, burn_time=1.2) + m = PointMassMotor( + thrust_source=10, dry_mass=1.0, propellant_initial_mass=0.5, burn_time=1.2 + ) assert isinstance(m, PointMassMotor) assert m.dry_mass == 1.0 assert m.propellant_initial_mass == 0.5 + assert m.burn_time == 1.2 + def test_missing_required_args_raises(): + # TODO: in the future we would like to capture specific RocketPy Exceptions with pytest.raises(ValueError): PointMassMotor(10, 1.0, None, 1) with pytest.raises(ValueError): @@ -15,19 +22,31 @@ def test_missing_required_args_raises(): with pytest.raises(TypeError): PointMassMotor([], 1.0, 1.2, 1) + def test_exhaustvelocity_and_totalmassflowrate(): - m = PointMassMotor(thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0) + m = PointMassMotor( + thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0 + ) ev_func = m.exhaustvelocity() - assert hasattr(ev_func, 'getValue') + assert hasattr(ev_func, "getValue") tmf_func = m.totalmassflowrate - assert hasattr(tmf_func, 'getValue') + assert hasattr(tmf_func, "getValue") + def test_zero_inertias(): - m = PointMassMotor(thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0) + m = PointMassMotor( + thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0 + ) assert m.propellantI11().getValue(0) == 0 assert m.propellantI22().getValue(0) == 0 assert m.propellantI33().getValue(0) == 0 + def test_callable_thrust(): - m = PointMassMotor(thrust_source=lambda t: 100*t, dry_mass=2, propellant_initial_mass=2, burn_time=4) + m = PointMassMotor( + thrust_source=lambda t: 100 * t, + dry_mass=2, + propellant_initial_mass=2, + burn_time=4, + ) assert m.thrust_source(0.5) == 50 diff --git a/tests/unit/rocket/test_point_mass_rocket.py b/tests/unit/rocket/test_point_mass_rocket.py index 35029eda7..853bf7c0a 100644 --- a/tests/unit/rocket/test_point_mass_rocket.py +++ b/tests/unit/rocket/test_point_mass_rocket.py @@ -1,5 +1,6 @@ -from rocketpy.rocket.rocket import PointMassRocket from rocketpy.motors.point_mass_motor import PointMassMotor +from rocketpy.rocket.rocket import PointMassRocket + def test_point_mass_rocket_basic_properties(): motor = PointMassMotor(10, 1.0, 0.5, 1.0) @@ -8,7 +9,7 @@ def test_point_mass_rocket_basic_properties(): mass=2.0, center_of_mass_without_motor=0.1, power_off_drag=0.7, - power_on_drag=0.8 + power_on_drag=0.8, ) rocket.addmotor(motor, 0) assert rocket.radius == 0.05 @@ -16,6 +17,7 @@ def test_point_mass_rocket_basic_properties(): assert rocket.motor is motor assert rocket.dryI11 == 0.0 # 3-DOF: inertias are forced zero + def test_structural_and_total_mass(): """Test structural and total mass properties of point mass rocket.""" motor = PointMassMotor(10, 1.0, 1.1, 2.0) @@ -24,15 +26,16 @@ def test_structural_and_total_mass(): mass=2.5, center_of_mass_without_motor=0, power_off_drag=0.3, - power_on_drag=0.4 + power_on_drag=0.4, ) rocket.addmotor(motor, 0) - + # Test that structural mass and total mass are calculated correctly assert rocket.mass == 2.5 expected_total_mass = rocket.mass + motor.propellant_initial_mass assert abs(rocket.total_mass(0) - expected_total_mass) < 1e-6 + def test_add_motor_overwrites(): """Test that adding a motor overwrites the previous motor.""" motor1 = PointMassMotor(10, 1, 1.1, 2.0) diff --git a/tests/unit/simulation/test_flight_3dof.py b/tests/unit/simulation/test_flight_3dof.py index 64b3c1c0c..2af426b61 100644 --- a/tests/unit/simulation/test_flight_3dof.py +++ b/tests/unit/simulation/test_flight_3dof.py @@ -1,43 +1,90 @@ -import pytest import numpy as np -from rocketpy.simulation.flight import Flight -from rocketpy.rocket.rocket import PointMassRocket +import pytest + from rocketpy.motors.point_mass_motor import PointMassMotor +from rocketpy.rocket.point_mass_rocket import PointMassRocket +from rocketpy.simulation.flight import Flight + + +@pytest.fixture +def point_mass_motor(): + """Simple PointMassMotor for 3-DOF tests. + + Returns + ------- + rocketpy.PointMassMotor + """ + return PointMassMotor( + thrust_source=10, + dry_mass=1.0, + propellant_initial_mass=0.5, + burn_time=2.2, + ) -class DummyEnv: - # Minimal stub, adapt with real Environment in your RocketPy setup - windvelocityx = windvelocityy = speedofsound = pressure = density = dynamicviscosity = lambda self: 0 - gravity = lambda self: 9.81 - elevation = 0 - def __getattr__(self, name): - return lambda *a, **k: 0 - -def make_simple_3dof_components(): - env = DummyEnv() - motor = PointMassMotor(10, dry_mass=1.0, propellant_initial_mass=0.5, burn_time=2.2) - rocket = PointMassRocket(0.05, 2.0, 0.1, 0.5, 0.6) - rocket.addmotor(motor, 0) - return env, rocket - -def test_3dof_simulation_mode_autoset(): - env, rocket = make_simple_3dof_components() - flight = Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="3 DOF") + +@pytest.fixture +def point_mass_rocket(point_mass_motor): + """Simple PointMassRocket for 3-DOF tests. + + Returns + ------- + rocketpy.PointMassRocket + """ + rocket = PointMassRocket( + radius=0.05, + mass=2.0, + center_of_mass_without_motor=0.1, + power_off_drag=0.5, + power_on_drag=0.6, + ) + rocket.add_motor(point_mass_motor, position=0) + return rocket + + +def test_3dof_simulation_mode_autoset(example_plain_env, point_mass_rocket): + """Test that simulation mode is correctly set to 3 DOF.""" + flight = Flight( + rocket=point_mass_rocket, + environment=example_plain_env, + rail_length=1, + simulation_mode="3 DOF", + ) assert flight.simulation_mode == "3 DOF" -def test_3dof_simulation_mode_warning(monkeypatch): - env, rocket = make_simple_3dof_components() + +def test_3dof_simulation_mode_warning( + monkeypatch, example_plain_env, point_mass_rocket +): + """Test that a warning is issued when 6 DOF is requested with PointMassRocket.""" monkeypatch.setattr("warnings.warn", lambda *a, **k: None) - f = Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="6 DOF") - assert f.simulation_mode == "3 DOF" + flight = Flight( + rocket=point_mass_rocket, + environment=example_plain_env, + rail_length=1, + simulation_mode="6 DOF", + ) + assert flight.simulation_mode == "3 DOF" -def test_3dof_equations_of_motion_functions(): - env, rocket = make_simple_3dof_components() - flight = Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="3 DOF") - u = [0]*13 # Proper size for generalized state for 3/6 DOF probably + +def test_3dof_equations_of_motion_functions(example_plain_env, point_mass_rocket): + """Test that 3-DOF equations of motion return valid results.""" + flight = Flight( + rocket=point_mass_rocket, + environment=example_plain_env, + rail_length=1, + simulation_mode="3 DOF", + ) + u = [0] * 13 # Generalized state vector size result = flight.udotgeneralized3dof(0, u) - assert isinstance(result, list) or isinstance(result, np.ndarray) + assert isinstance(result, (list, np.ndarray)) + -def test_invalid_simulation_mode(): - env, rocket = make_simple_3dof_components() +def test_invalid_simulation_mode(example_plain_env, point_mass_rocket): + """Test that invalid simulation mode raises ValueError.""" with pytest.raises(ValueError): - Flight(rocket=rocket, environment=env, rail_length=1, simulation_mode="2 DOF") + Flight( + rocket=point_mass_rocket, + environment=example_plain_env, + rail_length=1, + simulation_mode="2 DOF", + ) From 9516f43cb8a7f38591265bf2565e090a6899908f Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:23:43 -0300 Subject: [PATCH 44/56] fix test --- tests/unit/rocket/test_point_mass_rocket.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/unit/rocket/test_point_mass_rocket.py b/tests/unit/rocket/test_point_mass_rocket.py index 853bf7c0a..b9060ea25 100644 --- a/tests/unit/rocket/test_point_mass_rocket.py +++ b/tests/unit/rocket/test_point_mass_rocket.py @@ -1,5 +1,5 @@ from rocketpy.motors.point_mass_motor import PointMassMotor -from rocketpy.rocket.rocket import PointMassRocket +from rocketpy.rocket.point_mass_rocket import PointMassRocket def test_point_mass_rocket_basic_properties(): From 9619aab8e0a3268f590cd7fdb7d47ec91420fe9b Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:30:51 -0300 Subject: [PATCH 45/56] remove example notebook --- docs/examples/3_dof_trial_sim.ipynb | 247 ---------------------------- 1 file changed, 247 deletions(-) delete mode 100644 docs/examples/3_dof_trial_sim.ipynb diff --git a/docs/examples/3_dof_trial_sim.ipynb b/docs/examples/3_dof_trial_sim.ipynb deleted file mode 100644 index d2ea01e7f..000000000 --- a/docs/examples/3_dof_trial_sim.ipynb +++ /dev/null @@ -1,247 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# 3 DOF Rocket Flight Simulation using RocketPy\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "from scipy.signal import savgol_filter\n", - "\n", - "from rocketpy import Environment, Flight, Function, PointMassMotor\n", - "from rocketpy.rocket.rocket import PointMassRocket" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Gravity Details\n", - "\n", - "Acceleration of gravity at surface level: 9.8100 m/s²\n", - "Acceleration of gravity at 1.000 km (ASL): 9.8100 m/s²\n", - "\n", - "\n", - "Launch Site Details\n", - "\n", - "Launch Date: 2020-02-22 13:00:00 UTC\n", - "Launch Site Latitude: 47.21348°\n", - "Launch Site Longitude: 9.00334°\n", - "Reference Datum: SIRGAS2000\n", - "Launch Site UTM coordinates: 500252.61 E 5228887.37 N\n", - "Launch Site UTM zone: 32T\n", - "Launch Site Surface Elevation: 407.0 m\n", - "\n", - "\n", - "Atmospheric Model Details\n", - "\n", - "Atmospheric Model Type: Reanalysis\n", - "Reanalysis Maximum Height: 1.000 km\n", - "Reanalysis Time Period: from 2020-02-22 00:00:00 to 2020-02-22 18:00:00 utc\n", - "Reanalysis Hour Interval: 4 hrs\n", - "Reanalysis Latitude Range: From 48.0° to 46.0°\n", - "Reanalysis Longitude Range: From 8.0° to 10.0°\n", - "\n", - "Surface Atmospheric Conditions\n", - "\n", - "Surface Wind Speed: 1.26 m/s\n", - "Surface Wind Direction: 213.21°\n", - "Surface Wind Heading: 33.21°\n", - "Surface Pressure: 980.43 hPa\n", - "Surface Temperature: 286.63 K\n", - "Surface Air Density: 1.192 kg/m³\n", - "Surface Speed of Sound: 339.39 m/s\n", - "\n", - "\n", - "Earth Model Details\n", - "\n", - "Earth Radius at Launch site: 6366.66 km\n", - "Semi-major Axis: 6378.14 km\n", - "Semi-minor Axis: 6356.75 km\n", - "Flattening: 0.0034\n", - "\n", - "\n", - "Atmospheric Model Plots\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Define Environment\n", - "# Environment conditions\n", - "env = Environment(\n", - " gravity=9.81,\n", - " latitude=47.213476,\n", - " longitude=9.003336,\n", - " date=(2020, 2, 22, 13),\n", - " elevation=407,\n", - ")\n", - "\n", - "env.set_atmospheric_model(\n", - " type=\"Reanalysis\",\n", - " file=\"../../data/weather/bella_lui_weather_data_ERA5.nc\",\n", - " dictionary=\"ECMWF\",\n", - ")\n", - "env.max_expected_height = 1000\n", - "env.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Define Motor\n", - "# Thrust profile: constant for 3 seconds\n", - "def thrust_profile(t):\n", - " return 250 if 0 <= t <= 3 else 0\n", - "\n", - "\n", - "motor = PointMassMotor(\n", - " thrust_source=thrust_profile,\n", - " dry_mass=1.0,\n", - " propellant_initial_mass=0.5,\n", - " propellant_final_mass=0.0,\n", - " burn_time=3.0,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "PointMassRocket.__init__() got an unexpected keyword argument 'drag_coefficient'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[6]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# Define Rocket\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m rocket = \u001b[43mPointMassRocket\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmass\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m2.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdrag_coefficient\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m0.75\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 3\u001b[39m rocket.add_motor(motor)\n", - "\u001b[31mTypeError\u001b[39m: PointMassRocket.__init__() got an unexpected keyword argument 'drag_coefficient'" - ] - } - ], - "source": [ - "# Define Rocket\n", - "rocket = PointMassRocket(mass=2.0, drag_coefficient=0.75)\n", - "rocket.add_motor(motor)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Simulate Flight (3 DOF)\n", - "flight = Flight(\n", - " rocket=rocket,\n", - " environment=env,\n", - " rail_length=5.0,\n", - " inclination=85, # degrees from horizontal\n", - " heading=90, # east\n", - " simulation_mode=\"3 DOF\",\n", - " terminate_on_apogee=False,\n", - " max_time=20,\n", - " name=\"Test3DOF\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot Altitude\n", - "times = np.linspace(0, flight.time, 10000)\n", - "altitudes = [flight.z(t) for t in times]\n", - "\n", - "plt.plot(times, altitudes)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Altitude (m)\")\n", - "plt.title(\"3 DOF Rocket Altitude vs Time\")\n", - "plt.grid(True)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Simulation Mode: 3 DOF\n", - "Equations of Motion: standard\n" - ] - } - ], - "source": [ - "print(f\"Simulation Mode: {flight.simulation_mode}\")\n", - "\n", - "# Display additional details about the equations if available in the simulation object\n", - "if hasattr(flight, \"equations_of_motion\"):\n", - " print(f\"Equations of Motion: {flight.equations_of_motion}\")\n", - "else:\n", - " print(\"No explicit equations of motion found in flight class\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "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": "3.13.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From fdb6f7c25e5a5402d32d0455f7126dcaa3053b6c Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:31:08 -0300 Subject: [PATCH 46/56] type hint fix --- rocketpy/rocket/point_mass_rocket.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/rocketpy/rocket/point_mass_rocket.py b/rocketpy/rocket/point_mass_rocket.py index ebea59c9b..85df193c9 100644 --- a/rocketpy/rocket/point_mass_rocket.py +++ b/rocketpy/rocket/point_mass_rocket.py @@ -46,8 +46,8 @@ def __init__( radius: float, mass: float, center_of_mass_without_motor: float, - power_off_drag: float, - power_on_drag: float, + power_off_drag, + power_on_drag, ): self._center_of_mass_without_motor_pointmass = center_of_mass_without_motor self._center_of_dry_mass_position = center_of_mass_without_motor From f4886e2bc7b7eade8f85e77f6f2319fb18d22e36 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:31:22 -0300 Subject: [PATCH 47/56] Configure matplotlib to use non-interactive backend for tests --- tests/conftest.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/tests/conftest.py b/tests/conftest.py index 2f6124900..976e177db 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,5 +1,9 @@ +import matplotlib import pytest +# Configure matplotlib to use non-interactive backend for tests +matplotlib.use("Agg") + # Pytest configuration pytest_plugins = [ "tests.fixtures.environment.environment_fixtures", From 015579a157b49d11525f3f97aae08d01fab45956 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:39:50 -0300 Subject: [PATCH 48/56] fix tests --- rocketpy/rocket/point_mass_rocket.py | 32 +++++++++++++++++++++ tests/unit/motors/test_point_mass_motor.py | 17 +++++------ tests/unit/rocket/test_point_mass_rocket.py | 12 ++++---- tests/unit/simulation/test_flight_3dof.py | 6 ++-- 4 files changed, 50 insertions(+), 17 deletions(-) diff --git a/rocketpy/rocket/point_mass_rocket.py b/rocketpy/rocket/point_mass_rocket.py index 85df193c9..6a0148993 100644 --- a/rocketpy/rocket/point_mass_rocket.py +++ b/rocketpy/rocket/point_mass_rocket.py @@ -69,3 +69,35 @@ def __init__( power_on_drag=power_on_drag, center_of_mass_without_motor=center_of_mass_without_motor, ) + + def evaluate_dry_inertias(self): + """Override to ensure inertias remain zero for point mass model. + + Returns + ------- + tuple + All inertia components as zeros. + """ + self.dry_I_11 = 0.0 + self.dry_I_22 = 0.0 + self.dry_I_33 = 0.0 + self.dry_I_12 = 0.0 + self.dry_I_13 = 0.0 + self.dry_I_23 = 0.0 + return (0.0, 0.0, 0.0, 0.0, 0.0, 0.0) + + def evaluate_inertias(self): + """Override to ensure inertias remain zero for point mass model. + + Returns + ------- + tuple + All inertia components as zeros. + """ + self.I_11 = 0.0 + self.I_22 = 0.0 + self.I_33 = 0.0 + self.I_12 = 0.0 + self.I_13 = 0.0 + self.I_23 = 0.0 + return (0.0, 0.0, 0.0, 0.0, 0.0, 0.0) diff --git a/tests/unit/motors/test_point_mass_motor.py b/tests/unit/motors/test_point_mass_motor.py index 4741c712b..3981380ab 100644 --- a/tests/unit/motors/test_point_mass_motor.py +++ b/tests/unit/motors/test_point_mass_motor.py @@ -10,7 +10,8 @@ def test_init_required_args(): assert isinstance(m, PointMassMotor) assert m.dry_mass == 1.0 assert m.propellant_initial_mass == 0.5 - assert m.burn_time == 1.2 + assert m.burn_time == (0, 1.2) # burn_time is always a tuple (start, end) + assert m.burn_duration == 1.2 def test_missing_required_args_raises(): @@ -27,19 +28,19 @@ def test_exhaustvelocity_and_totalmassflowrate(): m = PointMassMotor( thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0 ) - ev_func = m.exhaustvelocity() - assert hasattr(ev_func, "getValue") - tmf_func = m.totalmassflowrate - assert hasattr(tmf_func, "getValue") + ev_func = m.exhaust_velocity + assert hasattr(ev_func, "get_value") + tmf_func = m.total_mass_flow_rate + assert hasattr(tmf_func, "get_value") def test_zero_inertias(): m = PointMassMotor( thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0 ) - assert m.propellantI11().getValue(0) == 0 - assert m.propellantI22().getValue(0) == 0 - assert m.propellantI33().getValue(0) == 0 + assert m.propellant_I_11.get_value(0) == 0 + assert m.propellant_I_22.get_value(0) == 0 + assert m.propellant_I_33.get_value(0) == 0 def test_callable_thrust(): diff --git a/tests/unit/rocket/test_point_mass_rocket.py b/tests/unit/rocket/test_point_mass_rocket.py index b9060ea25..7e43a6ce1 100644 --- a/tests/unit/rocket/test_point_mass_rocket.py +++ b/tests/unit/rocket/test_point_mass_rocket.py @@ -11,11 +11,11 @@ def test_point_mass_rocket_basic_properties(): power_off_drag=0.7, power_on_drag=0.8, ) - rocket.addmotor(motor, 0) + rocket.add_motor(motor, 0) assert rocket.radius == 0.05 assert rocket.mass == 2.0 assert rocket.motor is motor - assert rocket.dryI11 == 0.0 # 3-DOF: inertias are forced zero + assert rocket.dry_I_11 == 0.0 # 3-DOF: inertias are forced zero def test_structural_and_total_mass(): @@ -28,11 +28,11 @@ def test_structural_and_total_mass(): power_off_drag=0.3, power_on_drag=0.4, ) - rocket.addmotor(motor, 0) + rocket.add_motor(motor, 0) # Test that structural mass and total mass are calculated correctly assert rocket.mass == 2.5 - expected_total_mass = rocket.mass + motor.propellant_initial_mass + expected_total_mass = rocket.mass + motor.dry_mass + motor.propellant_initial_mass assert abs(rocket.total_mass(0) - expected_total_mass) < 1e-6 @@ -41,6 +41,6 @@ def test_add_motor_overwrites(): motor1 = PointMassMotor(10, 1, 1.1, 2.0) motor2 = PointMassMotor(20, 2, 1.5, 3.0) rocket = PointMassRocket(0.02, 1.0, 0.0, 0.2, 0.5) - rocket.addmotor(motor1, position=0) - rocket.addmotor(motor2, position=0) + rocket.add_motor(motor1, position=0) + rocket.add_motor(motor2, position=0) assert rocket.motor == motor2 diff --git a/tests/unit/simulation/test_flight_3dof.py b/tests/unit/simulation/test_flight_3dof.py index 2af426b61..c3c4a6508 100644 --- a/tests/unit/simulation/test_flight_3dof.py +++ b/tests/unit/simulation/test_flight_3dof.py @@ -75,15 +75,15 @@ def test_3dof_equations_of_motion_functions(example_plain_env, point_mass_rocket simulation_mode="3 DOF", ) u = [0] * 13 # Generalized state vector size - result = flight.udotgeneralized3dof(0, u) + result = flight.u_dot_generalized_3dof(0, u) assert isinstance(result, (list, np.ndarray)) -def test_invalid_simulation_mode(example_plain_env, point_mass_rocket): +def test_invalid_simulation_mode(example_plain_env, calisto): """Test that invalid simulation mode raises ValueError.""" with pytest.raises(ValueError): Flight( - rocket=point_mass_rocket, + rocket=calisto, environment=example_plain_env, rail_length=1, simulation_mode="2 DOF", From 5ec0c8d8c22fb68c4654b425df9d29f9a5569d28 Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Wed, 26 Nov 2025 23:59:57 -0300 Subject: [PATCH 49/56] solve comments by copilot --- rocketpy/simulation/flight.py | 15 ++++++----- tests/unit/rocket/test_point_mass_rocket.py | 2 +- tests/unit/simulation/test_flight_3dof.py | 28 +++++++++++---------- 3 files changed, 23 insertions(+), 22 deletions(-) diff --git a/rocketpy/simulation/flight.py b/rocketpy/simulation/flight.py index 2b24eb59b..30ea66466 100644 --- a/rocketpy/simulation/flight.py +++ b/rocketpy/simulation/flight.py @@ -1248,18 +1248,16 @@ def __init_equations_of_motion(self): UserWarning, ) self.simulation_mode = "3 DOF" - else: - self.simulation_mode = self.simulation_mode # Set the equations of motion based on the final simulation mode. if self.simulation_mode == "3 DOF": - self.equations_of_motion = self.equations_of_motion self.u_dot_generalized = self.u_dot_generalized_3dof elif self.simulation_mode == "6 DOF": - if self.equations_of_motion == "solid_propulsion": - self.u_dot_generalized = self.u_dot - else: - self.u_dot_generalized = self.u_dot_generalized + self.u_dot_generalized = ( + self.u_dot + if self.equations_of_motion == "solid_propulsion" + else self.u_dot_generalized + ) else: raise ValueError( f"Invalid simulation_mode: {self.simulation_mode}. " @@ -1842,7 +1840,8 @@ def u_dot_generalized_3dof(self, t, u, post_processing=False): else: cd = self.rocket.power_off_drag.get_value_opt(mach) - R1, R2, R3 = 0, 0, -0.5 * rho * free_stream_speed**2 * self.rocket.area * cd + R1, R2 = 0, 0 + R3 = -0.5 * rho * free_stream_speed**2 * self.rocket.area * cd for air_brake in self.rocket.air_brakes: if air_brake.deployment_level > 0: diff --git a/tests/unit/rocket/test_point_mass_rocket.py b/tests/unit/rocket/test_point_mass_rocket.py index 7e43a6ce1..49e5cf806 100644 --- a/tests/unit/rocket/test_point_mass_rocket.py +++ b/tests/unit/rocket/test_point_mass_rocket.py @@ -2,7 +2,7 @@ from rocketpy.rocket.point_mass_rocket import PointMassRocket -def test_point_mass_rocket_basic_properties(): +def test_init_sets_basic_properties_correctly(): motor = PointMassMotor(10, 1.0, 0.5, 1.0) rocket = PointMassRocket( radius=0.05, diff --git a/tests/unit/simulation/test_flight_3dof.py b/tests/unit/simulation/test_flight_3dof.py index c3c4a6508..ee219ce95 100644 --- a/tests/unit/simulation/test_flight_3dof.py +++ b/tests/unit/simulation/test_flight_3dof.py @@ -41,7 +41,9 @@ def point_mass_rocket(point_mass_motor): return rocket -def test_3dof_simulation_mode_autoset(example_plain_env, point_mass_rocket): +def test_simulation_mode_sets_3dof_with_point_mass_rocket( + example_plain_env, point_mass_rocket +): """Test that simulation mode is correctly set to 3 DOF.""" flight = Flight( rocket=point_mass_rocket, @@ -52,21 +54,21 @@ def test_3dof_simulation_mode_autoset(example_plain_env, point_mass_rocket): assert flight.simulation_mode == "3 DOF" -def test_3dof_simulation_mode_warning( - monkeypatch, example_plain_env, point_mass_rocket -): +def test_3dof_simulation_mode_warning(example_plain_env, point_mass_rocket): """Test that a warning is issued when 6 DOF is requested with PointMassRocket.""" - monkeypatch.setattr("warnings.warn", lambda *a, **k: None) - flight = Flight( - rocket=point_mass_rocket, - environment=example_plain_env, - rail_length=1, - simulation_mode="6 DOF", - ) - assert flight.simulation_mode == "3 DOF" + with pytest.warns(UserWarning): + flight = Flight( + rocket=point_mass_rocket, + environment=example_plain_env, + rail_length=1, + simulation_mode="6 DOF", + ) + assert flight.simulation_mode == "3 DOF" -def test_3dof_equations_of_motion_functions(example_plain_env, point_mass_rocket): +def test_u_dot_generalized_3dof_returns_valid_result( + example_plain_env, point_mass_rocket +): """Test that 3-DOF equations of motion return valid results.""" flight = Flight( rocket=point_mass_rocket, From bcf51fea21b959892964bc065e77060e1d1b38fa Mon Sep 17 00:00:00 2001 From: Gui-FernandesBR Date: Thu, 27 Nov 2025 00:02:51 -0300 Subject: [PATCH 50/56] small fix --- rocketpy/rocket/point_mass_rocket.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/rocketpy/rocket/point_mass_rocket.py b/rocketpy/rocket/point_mass_rocket.py index 6a0148993..9cdf86d47 100644 --- a/rocketpy/rocket/point_mass_rocket.py +++ b/rocketpy/rocket/point_mass_rocket.py @@ -53,12 +53,12 @@ def __init__( self._center_of_dry_mass_position = center_of_mass_without_motor self._center_of_mass = center_of_mass_without_motor # Dry inertias are zero for point mass - self._dry_I_11 = 0.0 - self._dry_I_22 = 0.0 - self._dry_I_33 = 0.0 - self._dry_I_12 = 0.0 - self._dry_I_13 = 0.0 - self._dry_I_23 = 0.0 + self.dry_I_11 = 0.0 + self.dry_I_22 = 0.0 + self.dry_I_33 = 0.0 + self.dry_I_12 = 0.0 + self.dry_I_13 = 0.0 + self.dry_I_23 = 0.0 # Call base init with safe defaults super().__init__( From 2e454c42aad704d2794938bc7fe5d4930acbe4b8 Mon Sep 17 00:00:00 2001 From: Copilot <198982749+Copilot@users.noreply.github.com> Date: Thu, 27 Nov 2025 14:11:55 +0530 Subject: [PATCH 51/56] DOC: Update test docstrings to follow RocketPy NumPy style guidelines * docs: Update test docstrings to follow RocketPy style guidelines Co-authored-by: aZira371 <99824864+aZira371@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: aZira371 <99824864+aZira371@users.noreply.github.com> --- tests/unit/motors/test_point_mass_motor.py | 26 +++++++++ tests/unit/rocket/test_point_mass_rocket.py | 17 +++++- tests/unit/simulation/test_flight_3dof.py | 59 ++++++++++++++++++--- 3 files changed, 94 insertions(+), 8 deletions(-) diff --git a/tests/unit/motors/test_point_mass_motor.py b/tests/unit/motors/test_point_mass_motor.py index 3981380ab..1eb248723 100644 --- a/tests/unit/motors/test_point_mass_motor.py +++ b/tests/unit/motors/test_point_mass_motor.py @@ -4,6 +4,11 @@ def test_init_required_args(): + """Tests that PointMassMotor initializes correctly with required arguments. + + Verifies that the motor is properly instantiated and that basic properties + like dry_mass, propellant_initial_mass, and burn_time are correctly set. + """ m = PointMassMotor( thrust_source=10, dry_mass=1.0, propellant_initial_mass=0.5, burn_time=1.2 ) @@ -15,6 +20,12 @@ def test_init_required_args(): def test_missing_required_args_raises(): + """Tests that PointMassMotor raises errors for missing required arguments. + + Verifies that ValueError is raised when propellant_initial_mass is None + or when burn_time is not provided with constant thrust. Also verifies + TypeError is raised for invalid thrust_source types. + """ # TODO: in the future we would like to capture specific RocketPy Exceptions with pytest.raises(ValueError): PointMassMotor(10, 1.0, None, 1) @@ -25,6 +36,11 @@ def test_missing_required_args_raises(): def test_exhaustvelocity_and_totalmassflowrate(): + """Tests that exhaust_velocity and total_mass_flow_rate return Function objects. + + Verifies that both properties are callable functions with get_value method, + which is required for numerical evaluation during simulation. + """ m = PointMassMotor( thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0 ) @@ -35,6 +51,11 @@ def test_exhaustvelocity_and_totalmassflowrate(): def test_zero_inertias(): + """Tests that all propellant inertia components are zero for point mass motor. + + Verifies that propellant_I_11, propellant_I_22, and propellant_I_33 all + return zero, as expected for a point mass model without rotational dynamics. + """ m = PointMassMotor( thrust_source=10, dry_mass=1.0, propellant_initial_mass=1.0, burn_time=2.0 ) @@ -44,6 +65,11 @@ def test_zero_inertias(): def test_callable_thrust(): + """Tests that PointMassMotor accepts a callable function as thrust_source. + + Verifies that when a lambda function is used for thrust_source, the motor + correctly evaluates thrust values at different times. + """ m = PointMassMotor( thrust_source=lambda t: 100 * t, dry_mass=2, diff --git a/tests/unit/rocket/test_point_mass_rocket.py b/tests/unit/rocket/test_point_mass_rocket.py index 49e5cf806..c9ad709c9 100644 --- a/tests/unit/rocket/test_point_mass_rocket.py +++ b/tests/unit/rocket/test_point_mass_rocket.py @@ -3,6 +3,11 @@ def test_init_sets_basic_properties_correctly(): + """Tests that PointMassRocket initializes with correct basic properties. + + Verifies that radius, mass, motor assignment, and zero inertias are + correctly set when a PointMassRocket is created and a motor is added. + """ motor = PointMassMotor(10, 1.0, 0.5, 1.0) rocket = PointMassRocket( radius=0.05, @@ -19,7 +24,11 @@ def test_init_sets_basic_properties_correctly(): def test_structural_and_total_mass(): - """Test structural and total mass properties of point mass rocket.""" + """Tests structural and total mass properties of PointMassRocket. + + Verifies that the rocket's structural mass and total mass (including motor + dry mass and propellant) are calculated correctly at time t=0. + """ motor = PointMassMotor(10, 1.0, 1.1, 2.0) rocket = PointMassRocket( radius=0.03, @@ -37,7 +46,11 @@ def test_structural_and_total_mass(): def test_add_motor_overwrites(): - """Test that adding a motor overwrites the previous motor.""" + """Tests that adding a new motor to PointMassRocket overwrites the previous motor. + + Verifies that when add_motor is called multiple times, only the most + recently added motor is retained. + """ motor1 = PointMassMotor(10, 1, 1.1, 2.0) motor2 = PointMassMotor(20, 2, 1.5, 3.0) rocket = PointMassRocket(0.02, 1.0, 0.0, 0.2, 0.5) diff --git a/tests/unit/simulation/test_flight_3dof.py b/tests/unit/simulation/test_flight_3dof.py index ee219ce95..a44448baa 100644 --- a/tests/unit/simulation/test_flight_3dof.py +++ b/tests/unit/simulation/test_flight_3dof.py @@ -8,11 +8,13 @@ @pytest.fixture def point_mass_motor(): - """Simple PointMassMotor for 3-DOF tests. + """Creates a simple PointMassMotor for 3-DOF flight tests. Returns ------- rocketpy.PointMassMotor + A point mass motor with constant thrust of 10 N, 1.0 kg dry mass, + 0.5 kg propellant mass, and 2.2 s burn time. """ return PointMassMotor( thrust_source=10, @@ -24,11 +26,18 @@ def point_mass_motor(): @pytest.fixture def point_mass_rocket(point_mass_motor): - """Simple PointMassRocket for 3-DOF tests. + """Creates a simple PointMassRocket for 3-DOF flight tests. + + Parameters + ---------- + point_mass_motor : rocketpy.PointMassMotor + The motor to be added to the rocket. Returns ------- rocketpy.PointMassRocket + A point mass rocket with 0.05 m radius, 2.0 kg mass, and the + provided motor attached at position 0. """ rocket = PointMassRocket( radius=0.05, @@ -44,7 +53,15 @@ def point_mass_rocket(point_mass_motor): def test_simulation_mode_sets_3dof_with_point_mass_rocket( example_plain_env, point_mass_rocket ): - """Test that simulation mode is correctly set to 3 DOF.""" + """Tests that simulation mode is correctly set to 3 DOF for PointMassRocket. + + Parameters + ---------- + example_plain_env : rocketpy.Environment + A basic environment fixture for flight simulation. + point_mass_rocket : rocketpy.PointMassRocket + A point mass rocket fixture for 3-DOF simulation. + """ flight = Flight( rocket=point_mass_rocket, environment=example_plain_env, @@ -55,7 +72,18 @@ def test_simulation_mode_sets_3dof_with_point_mass_rocket( def test_3dof_simulation_mode_warning(example_plain_env, point_mass_rocket): - """Test that a warning is issued when 6 DOF is requested with PointMassRocket.""" + """Tests that a warning is issued when 6 DOF mode is requested with PointMassRocket. + + When a PointMassRocket is used with simulation_mode="6 DOF", the Flight + class should emit a UserWarning and automatically switch to 3 DOF mode. + + Parameters + ---------- + example_plain_env : rocketpy.Environment + A basic environment fixture for flight simulation. + point_mass_rocket : rocketpy.PointMassRocket + A point mass rocket fixture for 3-DOF simulation. + """ with pytest.warns(UserWarning): flight = Flight( rocket=point_mass_rocket, @@ -69,7 +97,18 @@ def test_3dof_simulation_mode_warning(example_plain_env, point_mass_rocket): def test_u_dot_generalized_3dof_returns_valid_result( example_plain_env, point_mass_rocket ): - """Test that 3-DOF equations of motion return valid results.""" + """Tests that 3-DOF equations of motion return valid derivative results. + + Verifies that the u_dot_generalized_3dof method returns a list or numpy + array representing the state derivative vector. + + Parameters + ---------- + example_plain_env : rocketpy.Environment + A basic environment fixture for flight simulation. + point_mass_rocket : rocketpy.PointMassRocket + A point mass rocket fixture for 3-DOF simulation. + """ flight = Flight( rocket=point_mass_rocket, environment=example_plain_env, @@ -82,7 +121,15 @@ def test_u_dot_generalized_3dof_returns_valid_result( def test_invalid_simulation_mode(example_plain_env, calisto): - """Test that invalid simulation mode raises ValueError.""" + """Tests that invalid simulation mode raises ValueError. + + Parameters + ---------- + example_plain_env : rocketpy.Environment + A basic environment fixture for flight simulation. + calisto : rocketpy.Rocket + The Calisto rocket fixture from the test suite. + """ with pytest.raises(ValueError): Flight( rocket=calisto, From 233173491bb0d60a5536c8cccd57ed09b375be9c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 27 Nov 2025 08:50:19 +0000 Subject: [PATCH 52/56] Initial plan From 3de70bc635acb68ebaee27784e064d392dd29e4b Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 27 Nov 2025 09:04:06 +0000 Subject: [PATCH 53/56] Add bella_lui_3dof_flight_sim.ipynb notebook with 3 DOF simulation and comparison Co-authored-by: aZira371 <99824864+aZira371@users.noreply.github.com> --- docs/examples/bella_lui_3dof_flight_sim.ipynb | 865 ++++++++++++++++++ 1 file changed, 865 insertions(+) create mode 100644 docs/examples/bella_lui_3dof_flight_sim.ipynb diff --git a/docs/examples/bella_lui_3dof_flight_sim.ipynb b/docs/examples/bella_lui_3dof_flight_sim.ipynb new file mode 100644 index 000000000..a680355f6 --- /dev/null +++ b/docs/examples/bella_lui_3dof_flight_sim.ipynb @@ -0,0 +1,865 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bella Lui - 3 DOF Flight Simulation and Comparison\n", + "\n", + "This notebook demonstrates a 3 DOF (Degrees of Freedom) flight simulation using the Bella Lui rocket parameters.\n", + "We will also compare the results with a 6 DOF simulation to understand the differences between the two approaches.\n", + "\n", + "## Overview\n", + "- **3 DOF Simulation**: Models the rocket as a point mass, considering only translational motion (x, y, z).\n", + "- **6 DOF Simulation**: Full simulation including rotational dynamics (pitch, yaw, roll).\n", + "\n", + "Permission to use flight data given by Antoine Scardigli, 2020 (EPFL Rocket Team)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Importing libraries\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from rocketpy import Environment, Flight, Function, Rocket, SolidMotor\n", + "from rocketpy.rocket import PointMassRocket" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.style.use(\"seaborn-v0_8-dark-palette\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setting Up Common Parameters\n", + "\n", + "Define a dictionary with the inputs for both simulations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "parameters = {\n", + " # Mass Details\n", + " \"rocket_mass\": (18.227 - 0.001, 0.010), # propellant mass = 1.373\n", + " # propulsion details\n", + " \"impulse\": (2157, 0.03 * 2157),\n", + " \"burn_time\": (2.43, 0.1),\n", + " \"nozzle_radius\": (44.45 / 1000, 0.001),\n", + " \"throat_radius\": (21.4376 / 1000, 0.001),\n", + " \"grain_separation\": (3 / 1000, 1 / 1000),\n", + " \"grain_density\": (782.4, 30),\n", + " \"grain_outer_radius\": (85.598 / 2000, 0.001),\n", + " \"grain_initial_inner_radius\": (33.147 / 1000, 0.002),\n", + " \"grain_initial_height\": (152.4 / 1000, 0.001),\n", + " # Aerodynamic Details\n", + " \"inertia_i\": (0.78267, 0.03 * 0.78267),\n", + " \"inertia_z\": (0.064244, 0.03 * 0.064244),\n", + " \"radius\": (156 / 2000, 0.001),\n", + " \"distance_rocket_nozzle\": (-1.1356, 0.100),\n", + " \"distance_rocket_propellant\": (-1, 0.100),\n", + " \"power_off_drag\": (1, 0.05),\n", + " \"power_on_drag\": (1, 0.05),\n", + " \"nose_length\": (0.242, 0.001),\n", + " \"nose_distance_to_cm\": (1.3, 0.100),\n", + " \"fin_span\": (0.200, 0.001),\n", + " \"fin_root_chord\": (0.280, 0.001),\n", + " \"fin_tip_chord\": (0.125, 0.001),\n", + " \"fin_distance_to_cm\": (-0.75, 0.100),\n", + " \"tail_top_radius\": (156 / 2000, 0.001),\n", + " \"tail_bottom_radius\": (135 / 2000, 0.001),\n", + " \"tail_length\": (0.050, 0.001),\n", + " \"tail_distance_to_cm\": (-1.0856, 0.001),\n", + " # Launch and Environment Details\n", + " \"wind_direction\": (0, 5),\n", + " \"wind_speed\": (1, 0.05),\n", + " \"inclination\": (89, 1),\n", + " \"heading\": (45, 5),\n", + " \"rail_length\": (4.2, 0.001),\n", + " # Parachute Details\n", + " \"CdS_drogue\": (np.pi / 4, 0.20 * np.pi / 4),\n", + " \"lag_rec\": (1, 0.020),\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Environment Setup\n", + "\n", + "Create the Environment object (common to both simulations)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Environment conditions\n", + "env = Environment(\n", + " gravity=9.81,\n", + " latitude=47.213476,\n", + " longitude=9.003336,\n", + " date=(2020, 2, 22, 13),\n", + " elevation=407,\n", + ")\n", + "\n", + "env.set_atmospheric_model(\n", + " type=\"Reanalysis\",\n", + " file=\"../../data/weather/bella_lui_weather_data_ERA5.nc\",\n", + " dictionary=\"ECMWF\",\n", + ")\n", + "\n", + "env.max_expected_height = 1000" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "env.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Motor Setup (Common)\n", + "\n", + "Create the motor object to be used in both simulations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Define motor\n", + "k828fj = SolidMotor(\n", + " thrust_source=\"../../data/motors/aerotech/AeroTech_K828FJ.eng\",\n", + " burn_time=parameters.get(\"burn_time\")[0],\n", + " dry_mass=0.001,\n", + " dry_inertia=(0, 0, 0),\n", + " center_of_dry_mass_position=0.3,\n", + " grains_center_of_mass_position=0.3,\n", + " grain_number=3,\n", + " grain_separation=parameters.get(\"grain_separation\")[0],\n", + " grain_density=parameters.get(\"grain_density\")[0],\n", + " grain_outer_radius=parameters.get(\"grain_outer_radius\")[0],\n", + " grain_initial_inner_radius=parameters.get(\"grain_initial_inner_radius\")[0],\n", + " grain_initial_height=parameters.get(\"grain_initial_height\")[0],\n", + " nozzle_radius=parameters.get(\"nozzle_radius\")[0],\n", + " throat_radius=parameters.get(\"throat_radius\")[0],\n", + " interpolation_method=\"linear\",\n", + " nozzle_position=0,\n", + " coordinate_system_orientation=\"nozzle_to_combustion_chamber\",\n", + ")\n", + "\n", + "k828fj.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Part 1: 6 DOF Simulation (Full Rocket Model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Create full 6 DOF Rocket object\n", + "bella_lui_6dof = Rocket(\n", + " radius=parameters.get(\"radius\")[0],\n", + " mass=parameters.get(\"rocket_mass\")[0],\n", + " inertia=(\n", + " parameters.get(\"inertia_i\")[0],\n", + " parameters.get(\"inertia_i\")[0],\n", + " parameters.get(\"inertia_z\")[0],\n", + " ),\n", + " power_off_drag=0.43,\n", + " power_on_drag=0.43,\n", + " center_of_mass_without_motor=0,\n", + ")\n", + "bella_lui_6dof.set_rail_buttons(0.1, -0.5)\n", + "bella_lui_6dof.add_motor(motor=k828fj, position=parameters.get(\"distance_rocket_nozzle\")[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Add aerodynamic surfaces to 6 DOF rocket\n", + "nose_cone_6dof = bella_lui_6dof.add_nose(\n", + " length=parameters.get(\"nose_length\")[0],\n", + " kind=\"tangent\",\n", + " position=parameters.get(\"nose_distance_to_cm\")[0]\n", + " + parameters.get(\"nose_length\")[0],\n", + ")\n", + "fin_set_6dof = bella_lui_6dof.add_trapezoidal_fins(\n", + " 3,\n", + " span=parameters.get(\"fin_span\")[0],\n", + " root_chord=parameters.get(\"fin_root_chord\")[0],\n", + " tip_chord=parameters.get(\"fin_tip_chord\")[0],\n", + " position=parameters.get(\"fin_distance_to_cm\")[0],\n", + ")\n", + "tail_6dof = bella_lui_6dof.add_tail(\n", + " top_radius=parameters.get(\"tail_top_radius\")[0],\n", + " bottom_radius=parameters.get(\"tail_bottom_radius\")[0],\n", + " length=parameters.get(\"tail_length\")[0],\n", + " position=parameters.get(\"tail_distance_to_cm\")[0],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Add parachute to 6 DOF rocket\n", + "Drogue_6dof = bella_lui_6dof.add_parachute(\n", + " \"Drogue\",\n", + " cd_s=parameters.get(\"CdS_drogue\")[0],\n", + " trigger=\"apogee\",\n", + " sampling_rate=105,\n", + " lag=parameters.get(\"lag_rec\")[0],\n", + " noise=(0, 8.3, 0.5),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Define aerodynamic drag coefficients for 6 DOF\n", + "bella_lui_6dof.power_off_drag = Function(\n", + " [\n", + " (0.01, 0.51),\n", + " (0.02, 0.46),\n", + " (0.04, 0.43),\n", + " (0.28, 0.43),\n", + " (0.29, 0.44),\n", + " (0.45, 0.44),\n", + " (0.49, 0.46),\n", + " ],\n", + " \"Mach Number\",\n", + " \"Drag Coefficient with Power Off\",\n", + " \"linear\",\n", + " \"constant\",\n", + ")\n", + "bella_lui_6dof.power_on_drag = Function(\n", + " [\n", + " (0.01, 0.51),\n", + " (0.02, 0.46),\n", + " (0.04, 0.43),\n", + " (0.28, 0.43),\n", + " (0.29, 0.44),\n", + " (0.45, 0.44),\n", + " (0.49, 0.46),\n", + " ],\n", + " \"Mach Number\",\n", + " \"Drag Coefficient with Power On\",\n", + " \"linear\",\n", + " \"constant\",\n", + ")\n", + "bella_lui_6dof.power_off_drag *= parameters.get(\"power_off_drag\")[0]\n", + "bella_lui_6dof.power_on_drag *= parameters.get(\"power_on_drag\")[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bella_lui_6dof.info()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Run 6 DOF Flight simulation\n", + "flight_6dof = Flight(\n", + " rocket=bella_lui_6dof,\n", + " environment=env,\n", + " rail_length=parameters.get(\"rail_length\")[0],\n", + " inclination=parameters.get(\"inclination\")[0],\n", + " heading=parameters.get(\"heading\")[0],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "flight_6dof.info()\n", + "flight_6dof.plots.trajectory_3d()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Part 2: 3 DOF Simulation (Point Mass Model)\n", + "\n", + "In 3 DOF mode, the rocket is treated as a point mass, meaning rotational dynamics\n", + "(pitch, yaw, roll) are not simulated. This is achieved by using the `PointMassRocket` class." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Create drag coefficient function for 3 DOF\n", + "power_off_drag_3dof = Function(\n", + " [\n", + " (0.01, 0.51),\n", + " (0.02, 0.46),\n", + " (0.04, 0.43),\n", + " (0.28, 0.43),\n", + " (0.29, 0.44),\n", + " (0.45, 0.44),\n", + " (0.49, 0.46),\n", + " ],\n", + " \"Mach Number\",\n", + " \"Drag Coefficient with Power Off\",\n", + " \"linear\",\n", + " \"constant\",\n", + ")\n", + "power_on_drag_3dof = Function(\n", + " [\n", + " (0.01, 0.51),\n", + " (0.02, 0.46),\n", + " (0.04, 0.43),\n", + " (0.28, 0.43),\n", + " (0.29, 0.44),\n", + " (0.45, 0.44),\n", + " (0.49, 0.46),\n", + " ],\n", + " \"Mach Number\",\n", + " \"Drag Coefficient with Power On\",\n", + " \"linear\",\n", + " \"constant\",\n", + ")\n", + "power_off_drag_3dof *= parameters.get(\"power_off_drag\")[0]\n", + "power_on_drag_3dof *= parameters.get(\"power_on_drag\")[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Create 3 DOF Point Mass Rocket\n", + "bella_lui_3dof = PointMassRocket(\n", + " radius=parameters.get(\"radius\")[0],\n", + " mass=parameters.get(\"rocket_mass\")[0],\n", + " center_of_mass_without_motor=0,\n", + " power_off_drag=power_off_drag_3dof,\n", + " power_on_drag=power_on_drag_3dof,\n", + ")\n", + "\n", + "# Add motor to the 3 DOF rocket\n", + "bella_lui_3dof.add_motor(motor=k828fj, position=parameters.get(\"distance_rocket_nozzle\")[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Add parachute to 3 DOF rocket\n", + "Drogue_3dof = bella_lui_3dof.add_parachute(\n", + " \"Drogue\",\n", + " cd_s=parameters.get(\"CdS_drogue\")[0],\n", + " trigger=\"apogee\",\n", + " sampling_rate=105,\n", + " lag=parameters.get(\"lag_rec\")[0],\n", + " noise=(0, 8.3, 0.5),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Display basic 3 DOF rocket info\n", + "print(\"3 DOF Point Mass Rocket\")\n", + "print(f\"Radius: {bella_lui_3dof.radius:.4f} m\")\n", + "print(f\"Mass (without motor): {bella_lui_3dof.mass:.3f} kg\")\n", + "print(f\"Center of mass (without motor): {bella_lui_3dof.center_of_mass_without_motor:.3f} m\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Run 3 DOF Flight simulation\n", + "flight_3dof = Flight(\n", + " rocket=bella_lui_3dof,\n", + " environment=env,\n", + " rail_length=parameters.get(\"rail_length\")[0],\n", + " inclination=parameters.get(\"inclination\")[0],\n", + " heading=parameters.get(\"heading\")[0],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Note: flight.info() is not fully supported for 3 DOF simulations\n", + "# We'll display the 3D trajectory instead\n", + "print(f\"3 DOF Flight - Apogee: {flight_3dof.apogee - env.elevation:.2f} m AGL\")\n", + "print(f\"3 DOF Flight - Time to Apogee: {flight_3dof.apogee_time:.2f} s\")\n", + "print(f\"3 DOF Flight - Max Speed: {flight_3dof.max_speed:.2f} m/s\")\n", + "print(f\"3 DOF Flight - Impact Point: ({flight_3dof.x_impact:.2f}, {flight_3dof.y_impact:.2f}) m\")\n", + "flight_3dof.plots.trajectory_3d()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3 DOF Simulation Plots\n", + "\n", + "Generate equivalent graphs for the 3 DOF flight simulation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Altitude over time\n", + "flight_3dof.altitude.plot()\n", + "plt.title(\"3 DOF - Altitude (AGL)\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Altitude (m)\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Vertical velocity over time\n", + "flight_3dof.vz.plot()\n", + "plt.title(\"3 DOF - Vertical Velocity\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Velocity (m/s)\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Note: Acceleration properties require post-processing which\n", + "# is not fully supported in 3 DOF mode.\n", + "# We'll skip the individual acceleration plot for 3 DOF." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Total velocity over time\n", + "flight_3dof.speed.plot()\n", + "plt.title(\"3 DOF - Speed\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Speed (m/s)\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Part 3: Comparison of 3 DOF vs 6 DOF Results\n", + "\n", + "Now let's compare key metrics between the two simulation approaches." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.1 Trajectory Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Compare altitude profiles\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(flight_6dof.altitude[:, 0], flight_6dof.altitude[:, 1], label=\"6 DOF\", linewidth=2)\n", + "ax.plot(flight_3dof.altitude[:, 0], flight_3dof.altitude[:, 1], label=\"3 DOF\", linewidth=2, linestyle=\"--\")\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Altitude (m)\")\n", + "ax.set_title(\"Altitude Comparison: 6 DOF vs 3 DOF\")\n", + "ax.legend()\n", + "ax.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Compare vertical velocity profiles\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(flight_6dof.vz[:, 0], flight_6dof.vz[:, 1], label=\"6 DOF\", linewidth=2)\n", + "ax.plot(flight_3dof.vz[:, 0], flight_3dof.vz[:, 1], label=\"3 DOF\", linewidth=2, linestyle=\"--\")\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Vertical Velocity (m/s)\")\n", + "ax.set_title(\"Vertical Velocity Comparison: 6 DOF vs 3 DOF\")\n", + "ax.legend()\n", + "ax.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Note: Vertical acceleration comparison is skipped as\n", + "# 3 DOF post-processing is not fully supported\n", + "# The 6 DOF acceleration plot is shown below for reference\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "ax.plot(flight_6dof.az[:, 0], flight_6dof.az[:, 1], label=\"6 DOF\", linewidth=2)\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Vertical Acceleration (m/s²)\")\n", + "ax.set_title(\"Vertical Acceleration (6 DOF only)\")\n", + "ax.legend()\n", + "ax.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Compare speed profiles\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(flight_6dof.speed[:, 0], flight_6dof.speed[:, 1], label=\"6 DOF\", linewidth=2)\n", + "ax.plot(flight_3dof.speed[:, 0], flight_3dof.speed[:, 1], label=\"3 DOF\", linewidth=2, linestyle=\"--\")\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Speed (m/s)\")\n", + "ax.set_title(\"Speed Comparison: 6 DOF vs 3 DOF\")\n", + "ax.legend()\n", + "ax.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.2 Ground Track Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Compare ground tracks (X-Y plane)\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "ax.plot(flight_6dof.x[:, 1], flight_6dof.y[:, 1], label=\"6 DOF\", linewidth=2)\n", + "ax.plot(flight_3dof.x[:, 1], flight_3dof.y[:, 1], label=\"3 DOF\", linewidth=2, linestyle=\"--\")\n", + "\n", + "# Mark launch and landing points\n", + "ax.scatter([0], [0], color=\"green\", s=100, marker=\"^\", label=\"Launch\", zorder=5)\n", + "ax.scatter([flight_6dof.x_impact], [flight_6dof.y_impact], color=\"red\", s=100, marker=\"x\", label=\"6 DOF Landing\", zorder=5)\n", + "ax.scatter([flight_3dof.x_impact], [flight_3dof.y_impact], color=\"blue\", s=100, marker=\"+\", label=\"3 DOF Landing\", zorder=5)\n", + "\n", + "ax.set_xlabel(\"X Position - East (m)\")\n", + "ax.set_ylabel(\"Y Position - North (m)\")\n", + "ax.set_title(\"Ground Track Comparison: 6 DOF vs 3 DOF\")\n", + "ax.legend()\n", + "ax.grid(True)\n", + "ax.set_aspect('equal')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.3 Key Metrics Comparison Table" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Extract key metrics\n", + "# Note: max_acceleration is not available for 3 DOF due to post-processing limitations\n", + "metrics_6dof = {\n", + " \"Apogee (AGL)\": flight_6dof.apogee - env.elevation,\n", + " \"Time to Apogee\": flight_6dof.apogee_time,\n", + " \"Max Velocity\": flight_6dof.max_speed,\n", + " \"Impact X\": flight_6dof.x_impact,\n", + " \"Impact Y\": flight_6dof.y_impact,\n", + " \"Impact Velocity\": flight_6dof.impact_velocity,\n", + " \"Flight Duration\": flight_6dof.t_final,\n", + "}\n", + "\n", + "metrics_3dof = {\n", + " \"Apogee (AGL)\": flight_3dof.apogee - env.elevation,\n", + " \"Time to Apogee\": flight_3dof.apogee_time,\n", + " \"Max Velocity\": flight_3dof.max_speed,\n", + " \"Impact X\": flight_3dof.x_impact,\n", + " \"Impact Y\": flight_3dof.y_impact,\n", + " \"Impact Velocity\": flight_3dof.impact_velocity,\n", + " \"Flight Duration\": flight_3dof.t_final,\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Print comparison table\n", + "print(\"=\" * 80)\n", + "print(\"COMPARISON: 6 DOF vs 3 DOF Flight Simulation\")\n", + "print(\"=\" * 80)\n", + "print(f\"{'Metric':<25} {'6 DOF':>15} {'3 DOF':>15} {'Difference':>15} {'Diff %':>10}\")\n", + "print(\"-\" * 80)\n", + "\n", + "for key in metrics_6dof.keys():\n", + " val_6dof = metrics_6dof[key]\n", + " val_3dof = metrics_3dof[key]\n", + " \n", + " if val_6dof is not None and val_3dof is not None:\n", + " diff = val_3dof - val_6dof\n", + " diff_pct = (diff / val_6dof * 100) if val_6dof != 0 else 0\n", + " print(f\"{key:<25} {val_6dof:>15.2f} {val_3dof:>15.2f} {diff:>15.2f} {diff_pct:>9.2f}%\")\n", + " else:\n", + " print(f\"{key:<25} {'N/A':>15} {'N/A':>15} {'N/A':>15} {'N/A':>10}\")\n", + "\n", + "print(\"=\" * 80)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.4 Detailed Numerical Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Apogee comparison\n", + "apogee_6dof = flight_6dof.apogee - env.elevation\n", + "apogee_3dof = flight_3dof.apogee - env.elevation\n", + "\n", + "print(\"Apogee (AGL)\")\n", + "print(f\"6 DOF: {apogee_6dof:.2f} m\")\n", + "print(f\"3 DOF: {apogee_3dof:.2f} m\")\n", + "diff = abs(apogee_6dof - apogee_3dof)\n", + "print(f\"Absolute difference: {diff:.2f} m\")\n", + "print(f\"Relative difference: {diff / apogee_6dof * 100:.2f} %\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Max velocity comparison\n", + "print(\"\\nMax Velocity\")\n", + "print(f\"6 DOF: {flight_6dof.max_speed:.2f} m/s\")\n", + "print(f\"3 DOF: {flight_3dof.max_speed:.2f} m/s\")\n", + "velocity_error = flight_3dof.max_speed - flight_6dof.max_speed\n", + "print(f\"Absolute difference: {velocity_error:.2f} m/s\")\n", + "print(f\"Relative difference: {abs(velocity_error) / flight_6dof.max_speed * 100:.2f} %\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Max acceleration comparison\n", + "# Note: max_acceleration is not available for 3 DOF simulations\n", + "# due to post-processing limitations in the current implementation\n", + "print(\"\\nMax Acceleration (6 DOF only)\")\n", + "print(f\"6 DOF: {flight_6dof.max_acceleration:.2f} m/s²\")\n", + "print(\"3 DOF: Not available (post-processing not supported)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Landing coordinates comparison\n", + "print(\"\\nLanding Coordinates\")\n", + "print(f\"6 DOF: X = {flight_6dof.x_impact:.2f} m, Y = {flight_6dof.y_impact:.2f} m\")\n", + "print(f\"3 DOF: X = {flight_3dof.x_impact:.2f} m, Y = {flight_3dof.y_impact:.2f} m\")\n", + "\n", + "# Calculate landing distance difference\n", + "landing_dist_6dof = np.sqrt(flight_6dof.x_impact**2 + flight_6dof.y_impact**2)\n", + "landing_dist_3dof = np.sqrt(flight_3dof.x_impact**2 + flight_3dof.y_impact**2)\n", + "distance_between_landings = np.sqrt((flight_6dof.x_impact - flight_3dof.x_impact)**2 + \n", + " (flight_6dof.y_impact - flight_3dof.y_impact)**2)\n", + "\n", + "print(f\"\\nLanding distance from launch:\")\n", + "print(f\"6 DOF: {landing_dist_6dof:.2f} m\")\n", + "print(f\"3 DOF: {landing_dist_3dof:.2f} m\")\n", + "print(f\"Distance between landing points: {distance_between_landings:.2f} m\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Flight time comparison\n", + "print(\"\\nFlight Duration\")\n", + "print(f\"6 DOF: {flight_6dof.t_final:.2f} s\")\n", + "print(f\"3 DOF: {flight_3dof.t_final:.2f} s\")\n", + "time_diff = abs(flight_6dof.t_final - flight_3dof.t_final)\n", + "print(f\"Absolute difference: {time_diff:.2f} s\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Summary and Conclusions\n", + "\n", + "This notebook demonstrated:\n", + "\n", + "1. **3 DOF Simulation**: Using `PointMassRocket` to create a simplified point-mass model of the Bella Lui rocket.\n", + "\n", + "2. **6 DOF Simulation**: Using the full `Rocket` class with complete aerodynamic surfaces and rotational dynamics.\n", + "\n", + "3. **Comparison**: The key differences between 3 DOF and 6 DOF simulations:\n", + " - 3 DOF is faster computationally as it ignores rotational dynamics\n", + " - 6 DOF provides more accurate results when rotational effects are significant\n", + " - For high-stability rockets with minimal rotational effects, 3 DOF can provide reasonable estimates\n", + "\n", + "The differences observed are primarily due to:\n", + "- Lift forces generated by fins and nose cone (present only in 6 DOF)\n", + "- Angle of attack effects (present only in 6 DOF)\n", + "- Rotational dynamics affecting the trajectory (present only in 6 DOF)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 910b137bf66503ae5a6f7a23ec90817c431fa7d7 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 27 Nov 2025 09:14:40 +0000 Subject: [PATCH 54/56] Execute notebook and save with outputs for GitHub preview Co-authored-by: aZira371 <99824864+aZira371@users.noreply.github.com> --- docs/examples/bella_lui_3dof_flight_sim.ipynb | 981 ++++++++++++++++-- 1 file changed, 887 insertions(+), 94 deletions(-) diff --git a/docs/examples/bella_lui_3dof_flight_sim.ipynb b/docs/examples/bella_lui_3dof_flight_sim.ipynb index a680355f6..7c04c2300 100644 --- a/docs/examples/bella_lui_3dof_flight_sim.ipynb +++ b/docs/examples/bella_lui_3dof_flight_sim.ipynb @@ -18,8 +18,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:05.520274Z", + "iopub.status.busy": "2025-11-27T09:14:05.520067Z", + "iopub.status.idle": "2025-11-27T09:14:05.718841Z", + "shell.execute_reply": "2025-11-27T09:14:05.718120Z" + } + }, "outputs": [], "source": [ "%load_ext autoreload\n", @@ -28,8 +35,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:05.720605Z", + "iopub.status.busy": "2025-11-27T09:14:05.720437Z", + "iopub.status.idle": "2025-11-27T09:14:07.181599Z", + "shell.execute_reply": "2025-11-27T09:14:07.180924Z" + } + }, "outputs": [], "source": [ "# Importing libraries\n", @@ -42,8 +56,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.183862Z", + "iopub.status.busy": "2025-11-27T09:14:07.183592Z", + "iopub.status.idle": "2025-11-27T09:14:07.346467Z", + "shell.execute_reply": "2025-11-27T09:14:07.345710Z" + } + }, "outputs": [], "source": [ "plt.style.use(\"seaborn-v0_8-dark-palette\")" @@ -60,8 +81,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.348801Z", + "iopub.status.busy": "2025-11-27T09:14:07.348598Z", + "iopub.status.idle": "2025-11-27T09:14:07.364152Z", + "shell.execute_reply": "2025-11-27T09:14:07.363481Z" + } + }, "outputs": [], "source": [ "parameters = {\n", @@ -118,8 +146,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.365943Z", + "iopub.status.busy": "2025-11-27T09:14:07.365780Z", + "iopub.status.idle": "2025-11-27T09:14:07.388541Z", + "shell.execute_reply": "2025-11-27T09:14:07.387891Z" + } + }, "outputs": [], "source": [ "# Environment conditions\n", @@ -142,9 +177,81 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.390182Z", + "iopub.status.busy": "2025-11-27T09:14:07.390027Z", + "iopub.status.idle": "2025-11-27T09:14:07.590983Z", + "shell.execute_reply": "2025-11-27T09:14:07.590150Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Gravity Details\n", + "\n", + "Acceleration of gravity at surface level: 9.8100 m/s²\n", + "Acceleration of gravity at 1.000 km (ASL): 9.8100 m/s²\n", + "\n", + "\n", + "Launch Site Details\n", + "\n", + "Launch Date: 2020-02-22 13:00:00 UTC\n", + "Launch Site Latitude: 47.21348°\n", + "Launch Site Longitude: 9.00334°\n", + "Reference Datum: SIRGAS2000\n", + "Launch Site UTM coordinates: 500252.61 E 5228887.37 N\n", + "Launch Site UTM zone: 32T\n", + "Launch Site Surface Elevation: 407.0 m\n", + "\n", + "\n", + "Atmospheric Model Details\n", + "\n", + "Atmospheric Model Type: Reanalysis\n", + "Reanalysis Maximum Height: 1.000 km\n", + "Reanalysis Time Period: from 2020-02-22 00:00:00 to 2020-02-22 18:00:00 utc\n", + "Reanalysis Hour Interval: 4 hrs\n", + "Reanalysis Latitude Range: From 48.0° to 46.0°\n", + "Reanalysis Longitude Range: From 8.0° to 10.0°\n", + "\n", + "Surface Atmospheric Conditions\n", + "\n", + "Surface Wind Speed: 1.26 m/s\n", + "Surface Wind Direction: 213.21°\n", + "Surface Wind Heading: 33.21°\n", + "Surface Pressure: 980.43 hPa\n", + "Surface Temperature: 286.63 K\n", + "Surface Air Density: 1.192 kg/m³\n", + "Surface Speed of Sound: 339.39 m/s\n", + "\n", + "\n", + "Earth Model Details\n", + "\n", + "Earth Radius at Launch site: 6366.66 km\n", + "Semi-major Axis: 6378.14 km\n", + "Semi-minor Axis: 6356.75 km\n", + "Flattening: 0.0034\n", + "\n", + "\n", + "Atmospheric Model Plots\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "env.info()" ] @@ -160,9 +267,56 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.621054Z", + "iopub.status.busy": "2025-11-27T09:14:07.620835Z", + "iopub.status.idle": "2025-11-27T09:14:07.746974Z", + "shell.execute_reply": "2025-11-27T09:14:07.746291Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nozzle Details\n", + "Nozzle Radius: 0.04445 m\n", + "Nozzle Throat Radius: 0.0214376 m\n", + "\n", + "Grain Details\n", + "Number of Grains: 3\n", + "Grain Spacing: 0.003 m\n", + "Grain Density: 782.4 kg/m3\n", + "Grain Outer Radius: 0.042799 m\n", + "Grain Inner Radius: 0.033146999999999996 m\n", + "Grain Height: 0.1524 m\n", + "Grain Volume: 0.000 m3\n", + "Grain Mass: 0.275 kg\n", + "\n", + "Motor Details\n", + "Total Burning Time: 2.43 s\n", + "Total Propellant Mass: 0.824 kg\n", + "Structural Mass Ratio: 0.001\n", + "Average Propellant Exhaust Velocity: 2514.035 m/s\n", + "Average Thrust: 852.260 N\n", + "Maximum Thrust: 1303.79 N at 0.04 s after ignition.\n", + "Total Impulse: 2070.992 Ns\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Define motor\n", "k828fj = SolidMotor(\n", @@ -197,8 +351,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.748918Z", + "iopub.status.busy": "2025-11-27T09:14:07.748756Z", + "iopub.status.idle": "2025-11-27T09:14:07.769949Z", + "shell.execute_reply": "2025-11-27T09:14:07.769261Z" + } + }, "outputs": [], "source": [ "# Create full 6 DOF Rocket object\n", @@ -220,8 +381,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.771426Z", + "iopub.status.busy": "2025-11-27T09:14:07.771269Z", + "iopub.status.idle": "2025-11-27T09:14:07.798482Z", + "shell.execute_reply": "2025-11-27T09:14:07.797601Z" + } + }, "outputs": [], "source": [ "# Add aerodynamic surfaces to 6 DOF rocket\n", @@ -248,8 +416,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.799983Z", + "iopub.status.busy": "2025-11-27T09:14:07.799816Z", + "iopub.status.idle": "2025-11-27T09:14:07.812106Z", + "shell.execute_reply": "2025-11-27T09:14:07.811337Z" + } + }, "outputs": [], "source": [ "# Add parachute to 6 DOF rocket\n", @@ -265,8 +440,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.813642Z", + "iopub.status.busy": "2025-11-27T09:14:07.813458Z", + "iopub.status.idle": "2025-11-27T09:14:07.826140Z", + "shell.execute_reply": "2025-11-27T09:14:07.825500Z" + } + }, "outputs": [], "source": [ "# Define aerodynamic drag coefficients for 6 DOF\n", @@ -306,17 +488,92 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.827882Z", + "iopub.status.busy": "2025-11-27T09:14:07.827716Z", + "iopub.status.idle": "2025-11-27T09:14:07.840242Z", + "shell.execute_reply": "2025-11-27T09:14:07.839631Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Inertia Details\n", + "\n", + "Rocket Mass: 18.226 kg (without motor)\n", + "Rocket Dry Mass: 18.227 kg (with unloaded motor)\n", + "Rocket Loaded Mass: 19.051 kg\n", + "Rocket Structural Mass Ratio: 0.957\n", + "Rocket Inertia (with unloaded motor) 11: 0.783 kg*m2\n", + "Rocket Inertia (with unloaded motor) 22: 0.783 kg*m2\n", + "Rocket Inertia (with unloaded motor) 33: 0.064 kg*m2\n", + "Rocket Inertia (with unloaded motor) 12: 0.000 kg*m2\n", + "Rocket Inertia (with unloaded motor) 13: 0.000 kg*m2\n", + "Rocket Inertia (with unloaded motor) 23: 0.000 kg*m2\n", + "\n", + "Geometrical Parameters\n", + "\n", + "Rocket Maximum Radius: 0.078 m\n", + "Rocket Frontal Area: 0.019113 m2\n", + "\n", + "Rocket Distances\n", + "Rocket Center of Dry Mass - Center of Mass without Motor: 0.000 m\n", + "Rocket Center of Dry Mass - Nozzle Exit: 1.136 m\n", + "Rocket Center of Dry Mass - Center of Propellant Mass: 0.836 m\n", + "Rocket Center of Mass - Rocket Loaded Center of Mass: 0.036 m\n", + "\n", + "\n", + "Aerodynamics Lift Coefficient Derivatives\n", + "\n", + "Nose Cone Lift Coefficient Derivative: 2.000/rad\n", + "Fins Lift Coefficient Derivative: 10.281/rad\n", + "Tail Lift Coefficient Derivative: -0.502/rad\n", + "\n", + "Center of Pressure\n", + "\n", + "Nose Cone Center of Pressure position: 1.433 m\n", + "Fins Center of Pressure position: -0.871 m\n", + "Tail Center of Pressure position: -1.110 m\n", + "\n", + "Stability\n", + "\n", + "Center of Mass position (time=0): -0.036 m\n", + "Center of Pressure position (time=0): -0.469 m\n", + "Initial Static Margin (mach=0, time=0): 2.777 c\n", + "Final Static Margin (mach=0, time=burn_out): 3.009 c\n", + "Rocket Center of Mass (time=0) - Center of Pressure (mach=0): 0.433 m\n", + "\n", + "\n", + "Parachute Details\n", + "\n", + "Parachute Drogue with a cd_s of 0.7854 m2\n", + "Ejection signal trigger: At Apogee\n", + "Ejection system refresh rate: 105.000 Hz\n", + "Time between ejection signal is triggered and the parachute is fully opened: 1.0 s\n", + "\n" + ] + } + ], "source": [ "bella_lui_6dof.info()" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:07.842031Z", + "iopub.status.busy": "2025-11-27T09:14:07.841865Z", + "iopub.status.idle": "2025-11-27T09:14:08.145014Z", + "shell.execute_reply": "2025-11-27T09:14:08.144176Z" + } + }, "outputs": [], "source": [ "# Run 6 DOF Flight simulation\n", @@ -331,9 +588,148 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 14, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.146693Z", + "iopub.status.busy": "2025-11-27T09:14:08.146506Z", + "iopub.status.idle": "2025-11-27T09:14:08.420135Z", + "shell.execute_reply": "2025-11-27T09:14:08.419412Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Initial Conditions\n", + "\n", + "Initial time: 0.000 s\n", + "Position - x: 0.00 m | y: 0.00 m | z: 407.00 m\n", + "Velocity - Vx: 0.00 m/s | Vy: 0.00 m/s | Vz: 0.00 m/s\n", + "Attitude (quaternions) - e0: 1.000 | e1: -0.006 | e2: 0.006 | e3: 0.000\n", + "Euler Angles - Spin φ : 45.00° | Nutation θ: -1.00° | Precession ψ: -45.00°\n", + "Angular Velocity - ω1: 0.00 rad/s | ω2: 0.00 rad/s | ω3: 0.00 rad/s\n", + "Initial Stability Margin: 2.777 c\n", + "\n", + "\n", + "Surface Wind Conditions\n", + "\n", + "Frontal Surface Wind Speed: 1.23 m/s\n", + "Lateral Surface Wind Speed: 0.26 m/s\n", + "\n", + "\n", + "Launch Rail\n", + "\n", + "Launch Rail Length: 4.2 m\n", + "Launch Rail Inclination: 89.00°\n", + "Launch Rail Heading: 45.00°\n", + "\n", + "\n", + "Rail Departure State\n", + "\n", + "Rail Departure Time: 0.359 s\n", + "Rail Departure Velocity: 16.184 m/s\n", + "Rail Departure Stability Margin: 2.818 c\n", + "Rail Departure Angle of Attack: 4.457°\n", + "Rail Departure Thrust-Weight Ratio: 5.416\n", + "Rail Departure Reynolds Number: 1.691e+05\n", + "\n", + "\n", + "Burn out State\n", + "\n", + "Burn out time: 2.430 s\n", + "Altitude at burn out: 529.977 m (ASL) | 122.977 m (AGL)\n", + "Rocket speed at burn out: 85.172 m/s\n", + "Freestream velocity at burn out: 85.220 m/s\n", + "Mach Number at burn out: 0.251\n", + "Kinetic energy at burn out: 6.611e+04 J\n", + "\n", + "\n", + "Apogee State\n", + "\n", + "Apogee Time: 10.608 s\n", + "Apogee Altitude: 867.550 m (ASL) | 460.550 m (AGL)\n", + "Apogee Freestream Speed: 3.974 m/s\n", + "Apogee X position: -9.652 m\n", + "Apogee Y position: -21.283 m\n", + "Apogee latitude: 47.2132845°\n", + "Apogee longitude: 9.0032081°\n", + "\n", + "\n", + "Parachute Events\n", + "\n", + "Parachute: Drogue\n", + "\tEjection time: 10.610 s\n", + "\tInflation time: 11.610 s\n", + "\tFreestream speed at inflation: 10.251 m/s\n", + "\tAltitude at inflation: 862.729 m (ASL) | 455.729 m (AGL)\n", + "\n", + "\n", + "Impact Conditions\n", + "\n", + "Time of impact: 35.544 s\n", + "X impact: -0.286 m\n", + "Y impact: -8.151 m\n", + "Altitude impact: 407.000 m (ASL) | 0.000 m (AGL) \n", + "Latitude: 47.2134026°\n", + "Longitude: 9.0033322°\n", + "Vertical velocity at impact: -19.575 m/s\n", + "Number of parachutes triggered until impact: 1\n", + "\n", + "\n", + "Stability Margin\n", + "\n", + "Initial Stability Margin: 2.777 c at 0.00 s\n", + "Out of Rail Stability Margin: 2.818 c at 0.36 s\n", + "Maximum Stability Margin: 3.031 c at 2.41 s\n", + "Minimum Stability Margin: 2.777 c at 0.00 s\n", + "\n", + "\n", + "Maximum Values\n", + "\n", + "Maximum Speed: 86.220 m/s at 2.25 s\n", + "Maximum Mach Number: 0.254 Mach at 2.25 s\n", + "Maximum Reynolds Number: 8.918e+05 at 2.24 s\n", + "Maximum Dynamic Pressure: 4.387e+03 Pa at 2.25 s\n", + "Maximum Acceleration During Motor Burn: 58.470 m/s² at 0.04 s\n", + "Maximum Gs During Motor Burn: 5.962 g at 0.04 s\n", + "Maximum Acceleration After Motor Burn: -0.000 m/s² at 0.00 s\n", + "Maximum Gs After Motor Burn: -0.000 Gs at 0.00 s\n", + "Maximum Stability Margin: 3.031 c at 2.41 s\n", + "Maximum Upper Rail Button Normal Force: 0.204 N\n", + "Maximum Upper Rail Button Shear Force: 0.042 N\n", + "Maximum Lower Rail Button Normal Force: 2.481 N\n", + "Maximum Lower Rail Button Shear Force: 0.518 N\n", + "\n", + "\n", + "Numerical Integration Settings\n", + "\n", + "Maximum Allowed Flight Time: 600.00 s\n", + "Maximum Allowed Time Step: inf s\n", + "Minimum Allowed Time Step: 0.00e+00 s\n", + "Relative Error Tolerance: 1e-06\n", + "Absolute Error Tolerance: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 1e-06, 1e-06, 1e-06, 1e-06, 0.001, 0.001, 0.001]\n", + "Allow Event Overshoot: True\n", + "Terminate Simulation on Apogee: False\n", + "Number of Time Steps Used: 347\n", + "Number of Derivative Functions Evaluation: 79\n", + "Average Function Evaluations per Time Step: 0.228\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "flight_6dof.info()\n", "flight_6dof.plots.trajectory_3d()" @@ -351,8 +747,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 15, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.422062Z", + "iopub.status.busy": "2025-11-27T09:14:08.421904Z", + "iopub.status.idle": "2025-11-27T09:14:08.436226Z", + "shell.execute_reply": "2025-11-27T09:14:08.435588Z" + } + }, "outputs": [], "source": [ "# Create drag coefficient function for 3 DOF\n", @@ -392,8 +795,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 16, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.437879Z", + "iopub.status.busy": "2025-11-27T09:14:08.437710Z", + "iopub.status.idle": "2025-11-27T09:14:08.454879Z", + "shell.execute_reply": "2025-11-27T09:14:08.454093Z" + } + }, "outputs": [], "source": [ "# Create 3 DOF Point Mass Rocket\n", @@ -411,8 +821,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 17, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.456563Z", + "iopub.status.busy": "2025-11-27T09:14:08.456288Z", + "iopub.status.idle": "2025-11-27T09:14:08.468907Z", + "shell.execute_reply": "2025-11-27T09:14:08.468244Z" + } + }, "outputs": [], "source": [ "# Add parachute to 3 DOF rocket\n", @@ -428,9 +845,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 18, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.470547Z", + "iopub.status.busy": "2025-11-27T09:14:08.470381Z", + "iopub.status.idle": "2025-11-27T09:14:08.482987Z", + "shell.execute_reply": "2025-11-27T09:14:08.482279Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 DOF Point Mass Rocket\n", + "Radius: 0.0780 m\n", + "Mass (without motor): 18.226 kg\n", + "Center of mass (without motor): 0.000 m\n" + ] + } + ], "source": [ "# Display basic 3 DOF rocket info\n", "print(\"3 DOF Point Mass Rocket\")\n", @@ -441,9 +876,25 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 19, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.484488Z", + "iopub.status.busy": "2025-11-27T09:14:08.484323Z", + "iopub.status.idle": "2025-11-27T09:14:08.527440Z", + "shell.execute_reply": "2025-11-27T09:14:08.526578Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/runner/work/RocketPy/RocketPy/rocketpy/simulation/flight.py:1246: UserWarning: A point-mass model was detected. Simulation mode should be '3 DOF'.\n", + " warnings.warn(\n" + ] + } + ], "source": [ "# Run 3 DOF Flight simulation\n", "flight_3dof = Flight(\n", @@ -457,9 +908,37 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 20, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.528960Z", + "iopub.status.busy": "2025-11-27T09:14:08.528807Z", + "iopub.status.idle": "2025-11-27T09:14:08.684118Z", + "shell.execute_reply": "2025-11-27T09:14:08.683467Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 DOF Flight - Apogee: 460.85 m AGL\n", + "3 DOF Flight - Time to Apogee: 10.61 s\n", + "3 DOF Flight - Max Speed: 86.23 m/s\n", + "3 DOF Flight - Impact Point: (31.18, 39.81) m\n" + ] + }, + { + "data": { + "image/png": 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imSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEAQxQBAEAV6vF4IgJDoUgiCIwx5logMgCIIgghEEQRTFPp8PXq8XHo8H5eXlSElJQUFBAWQyGeRyOeRyOWQyGWQyWaLDJgiCOGwgkUwQBMEBPp9PFMNMEPt8PlEsA4BcLsfBgwfh8XiQl5cHQRD8hDETzFLRTMKZIAgiMkgkEwRBxJlAQcweUkEcmCWWwl4DIL5fEATxO0k4EwRB9B8SyQRBEDGElUyEEsTsdakgBtAnEcveK/1MT8KZLUv6LwlngiCIYEgkEwRBRAlpDbHH4+k1Q8z+jja9CWev1xv0fhLOBEEQ/pBIJgiCiIDASXWsjpgJYqlQVSgU4v8TRaTCOVA0k3AmCOJIgUQyQRBEL0jLFqQPNrEuXoKYCXCfzxeV7wtHOEvFMwlngiCOJGQCNdwkCIIQCRTETqcTDocDBoPBr2QiHiLR7XbDZrPBbreL/7rdbgCAVquFyWSCyWSC0WiE0WiEUhmbvIdUOEvx+XxobW1FRkYGFAoFCWeCIA4rSCQTBHHEIhXE0jpilqkVBAEtLS2orq7GxIkTYyr+Ojs7/cSwzWaDy+WCVquFwWAQhfDmzZthNptRWFgIq9UKm80Gq9UKl8sFvV4vimaTyQSDwSBmtqONIAhwu9346aefMGfOHMjlcjGrHphxjmX9NUEQRKygcguCII4ImCCWGnMECmKpwGP/ZyKTCb1o4PF4YLfb/USx0+lEUlKSKIbz8/NhMBiCssMsvoyMDGRkZIjPd3R0iKK5qakJe/bsgcfjEQU2yzrr9fqo/JZQbeYCSzU8Ho/4XhLOBEEMNEgkEwRx2BEoiKXmHOz1UII4Fni9XjgcDr8McXt7OzQajShgc3JyYDQaoVKpIl5OUlISkpKSkJWVBaDrNzqdTjHTXFdXh/Lycvh8PhgMBlE0m0wm6HS6qPz+3mqcmWhm7yHhTBAEz5BIJghiQNOdIJa2XQMQF0Hs8/ngcDj8MsRtbW1QKpUwGo0wGAzIzMyEwWCARqOJSQwMmUwGrVYLrVaL7OxsAF3rqr29HVarFVarFfv378f27dsBQMw2s3+1Wm3ChTPZbRMEkUhIJBMEMWBgwldaQ8wEsc/n8xNkUlEcjeUG4vP50N7e7pchdjgcUCgUYoa4uLgYRqMRGo2GC6Enk8mg0+mg0+mQm5sLoOt3tLW1iaUa1dXVsNlsUCgUfqLZZDIhKSkprsKZvS7NNJNwJggiXpBIJgiCSwIFsbRkgpVNSDspKJXKmAknQRDQ1tYWVEcsk8lgMBhgMBhQWFgIg8GA5OTkASXg5HK5+BsYPp8PdrtdFM4VFRVwOBxQqVR+ojma2fBA4Sy9MGGt9qSvk3AmCCLWUHcLgiASTk+CWFo2EQ83OEEQ0NHRIYrhlpYWOBwOyOVy6PV6sWzCaDRGrSShL/z8889ISUnBuHHj4rpcr9cLm80m1jhbrVa0tbUBADIzM/2yzmq1OiYxSE9XgS6GAAlngiCiC2WSCYKIO91NqhMEAZWVlZDJZCgpKYlqyUR3uFyuoF7EHo8Her0eBoMBZrMZHo8HU6dOjWqHi4GGQqFASkoKUlJSxOccDoco2q1WK2pra9He3o7k5GS/Hs4mkykqPZyl+0FgxpmV3KxZswYlJSVIT08HgJD1zSScCYIIBxLJBEHEBJ/Ph1anBQ32JjQ5mpFjyEK+IUcUxlJxI83+sedj0d/X7XYH9SJ2u93Q6XQwGAxIT0/HoEGDoNPpxOU3NzejtbX1iBbI3cGEb3FxsSg8mQGK1WqFxWJBdXU1Ojo6oNPp/ESz0WiMyjYOLNPo7OwU/5b2wQ6sV5fJZGjetgU+txvajExo0zOgNhhIQBMEIUIimSCIqGHvcOCjzV/hrfUfYmXlb/AKhyyNU5PN2HztT0hWJYmCGIhduy9mziEVxR0dHaI5BzPk0Ov1MXOqOxJRq9VIT08XM7lAV7ae1Tc3Nzdj7969cLvdovkJexgMhqj1cA7MGEsvygRBQN3vv+LTecf7fU6l16P0lNMx4qJLUDhrNhS0XxDEEQ2NAARBRERgDXGHuwMjnp6JhrYmv/cZNQbo1Mm4fPyFMCTrxc8esNcjz5gT9L2RiGav1xuUIWbmHKx+OC8vDwaDIaJexDR1o39oNBpkZmYiMzMTQNf6ZMLZarWioaEBu3fvFs1PAns4R0s4O2proM/LBwDkTpmGvGNmwrq3Ah2tLfA4neh0OLDz/Xew8/13MPic83HSf94MKtOgTDNBHDmQSCYIolcCBXFgL2ImHI4vPQa/12zABaPPwFkjT0ahOQ9qhVr8DsYPFStx/gdXY8HYs3HrMYtQaM4LWl53MHOOwF7EarVanFSXnZ0Ng8EQswlkhD99FY4ymaxb8xMmnGtra7Fjxw4IghDUw7kn85NQ+86B1avw+2MPonHDely6aSeSUlIhk8lwxhffHSrTaG/HwS2bUP7he9j9yWIUnzhP3NelcYeqbybhTBCHJySSCYLwQ1rHKX0EtuHa01KJW/57Px454U6MzRkJAHhy3r3QqUJ3fJA+91PlKnh8Hryx4QO8u+kTXDruXNxyzJ+CMsush680Q8zMOViGOCMjQ+xFTMSXaGbYpeYnOTk54vdLezjv378f27Ztg0wm82tFZzKZ/FrvsX/r1/yG3x57EPt/XAoAkKtUqFv9C0pOPsXvfQCg0mqRM2UacqZMw4xH/gZIHAA3vvgcWnbuwPT7HobaaCThTBBHCNQCjiCOYMIVxIGPz3f8F1d9dis6PC4cXTgJ3yx8t8/LXr1vLR5Z/ixWVK0GAKgVKlw8+mzMzzgOBlnXxDmHwyEKIiaKDQZD1EwtwqGlpQW7du3C1KlT47K83khUC7hQOJ1OLF++HCeddFLclslcDaWt6Ox2u+hqaLPZYHLYUPPmq6j58XsAgFypxPAFCzHh5ttgLCzq0/KcLc14c8wQdLa1wVhUjFMXf4GUwUP8apwDIeFMEIcHlEkmiCMEqSBmbnWtra3weDwwm81i2URv9s2vrHsXt3xzHwQImFUyHc+d+mhEsYxNH4GXT3gCP+1ZhX9tegObW3bg1Y3vY4XhV7ww/WHk5+fDaDQOOHMOIrbI5XIYjUYYjUbk53fVF0vNTw5WVeLXRZcDXi8glyPjxJMx/E/XIXv4CGhMpj4vLzk1DfPf/wQ/XHsVbNVV+Pik43Dqh58ha8IkAN27Bkq7uNTX1yM1NRVardavl3Pg5wmC4AsSyQRxGMIEsdSYg4lj9rpMJsPBgwfR2dmJtLS0Xk/WgiDgsRX/xGMr/gkAuHz8Bfj7vPugkPfcxktqziGtI/Z6vTAYDBifMQrvn/ECNlt34h+/vYSziubBZDIhOzs7OiuDOOyRy+Vi2UVVVRVKz70ACkHAsKuvgy8lFVarFeXl5Whra0NSUlKQ3XZvkznzjzkW5/3wM7487ww0bliHT0+bi3lvvI+iOSf6va87u+09e/Zg5MiR0Gg0fpbbgRlnEs4EwRckkgligBMoiAMn1fWUIe6LK9nDy57G337+FwDgjpnX446Z14f8nMvlCuo04fF4xF7EmZmZKCsrC+pakJeXh5OGH489e/aIYt7mssOoMQQtI95QVVpoeFkvPq8X3o4OqHQ6AMCkBx/3a0HH6Ozs9HMNrKmpgdPphFar9RPNRqMxqC1gcnoGzvjiO3y78ALs/3Epvr7obJz81oconjuvx9hYv2Zp20NpxpmJZvZeEs4EwQ8kkgliACG1bw4liBmBori37+wNl8eFldW/AQAen3sX/jR5IYBDokMqil0ulyg6UlNTUVxcDL1eH5ZxBIvZ5/Ph3U2f4I4lD+PDC/6NqQUTev0skRh4EG/r/vE4yj98Dye+/IYoSEOhUqmQlpaGtLQ08Tm32y1ODGxtbUVVVRVcLpdofiLt4azW63HKe5/g+6svx57PPkb9ml97FcmMUG6B3ZVqSLPN7N9QzoEEQcQWEskEwSlSQcxqiNn/WaZVOiEoEvvmcN+vUWrw4Xn/xudb/4tjs6Zg69atsNls6OjoQHJysmjOUVBQAIPB0G9zDkEQsLxyNawdNlz52a34+covYEpKfEaZ4I/6Nb/h98cfhuD1orV8J5Cd1/uHJKjVamRkZCAjI0N8rqOjQ8w2NzU1Yc+ePaJVuclkwrC7HkD2cXMwesGlYS0jnAvRvgpnaaaZhDNBxAYSyQTBAYGCmGWIpYIYOHRiVCqVUTshhjqBM3OOXXV7oPMlw263o729HaWaPNhsNhgMBuTm5kZszhEOf5t3D1bvX4tqSw3+8t/78e8znozJcnqDhAe/uG02LLnqMgheLwaffR6GnHch6pYv7/f3sh7OUvOTjo4OsZtGU0sLrLkFWLp0aVfHleRkKGxW5I8bD71e32sLxHAJFM7SYzWwAw1Awpkgog2JZIKIM0wQB9YQs5MeO/HFQhAHwuolWZ2mtBfxXud+/HXTE7h0+Dm4/ZjrYDKZ4mLOwWIyagx4+Yy/Y94bF+GDLZ/jhNKZOHf0aTFfPjFwWHHHzbBVVcJQUIhZf382ZDY2GshkMiQnJyM5OVmcUCoIAtrb23HwQC1WXXslbOU7kX//o9DkFQS5Bvp8vqjEFKpkQ5ptZmOI9H2B9c0knAkifEgkE0SMCZxUJ20NJc0ESU9msYylra1N7DTR1NQEt9uN5uZmsQfxoEGD0OK14o/v3AGX1419rgNITUvttYtFLJhSMB63zbgWj654Fjd/ey8mF4xHkTk/7nHwMkGNOMTuTxZj53tvQyaX44QXX4XGZI7r8mUyGXQ6HVTZOVB6vfDYrDj45COY9+m38Gi1sFqtqK6uht1uh8/nw7Zt25CWliZODIxWa8PeyjTY2BNKOAf2cSYIwh8SyQQRRboTxO3t7di9ezdGjx7tJ4iB2N3OZ5kuaYaYmXMwY46UlBR4PB6MGTNGjKO904kzX7sCze2tGJs9Eq+e9XRCBDLj1hmL8OPen/FbzXpc9dmt+PrSt6GU09DFA4m6eLDtq8ZPN10HAJhw823InX5MwmJSGww49cPP8PG842HZvQvLr74MZ371PfLyumqjfT4ffvzxR2RkZMDlcmHv3r2i+Ym0m4bJZEJSUlJUYgpHOFutVuzZswfjxo0L2VWDhDNBkEgmiIgJNamOZYjZ69JbnHa7PWb1u4IgwOl0BvUiFgQBer0eRqMReXl5MBqN0GoP2UazTJf01u0NX92FLQ07ka5NxbvnvQC9WheTmLuDlVswlHIl/n3Gk5j58umYkj+esroEFGo1siZMhNtux6Tb/i/o9XiLu+S0dJz6wadYPGcmGjesww/XXom5r7wFmUR0ZmVlwWg0AjhU889qnBsaGuBwOKDRaIJ6OEerxClQODMDFna8sfEssKNGYJkGCWfiSIJEMkGEQeCkulCt19gJhLU6C7y9GS1xJwiCXy9iqTkHE8TZ2dkYMmSI6PDVHYEnvJfWvIkPt34BhUyBN855FvmmnKjE3F+KUwqw4bqlSNOmJjoUIoBEiCZddg5O++hLuKwWKGJ04dlXTCWlOPmtD/DZGfOw57OPkTJkKKbceQ8ABNUJKxQKmM1mmM1m8TmPx+PXw/nAgQNob28XzU+kWedoXGwHjluBz7MxTwrZbRNHGiSSCSKA3gSxNNMSShD39L2R4Ha7g3oRu91u6HQ6GI1GZGRkoLS0FHq9vkdB3Ftc1ZYa3PX94wCAh064HccUTYko3lghFcid3k64vZ3QqbUxXy5vAkDwHbmZdJfVKlpLy+RyJKUEXzQFCtJ4kjv9GBz39PP44dqrsOmF5zD6D1dDm5kV1rGvVCqRmpqK1FTJfv6/PuQs47xv3z50dHRAq9X6ieZQ5ifh0FMXjt7stqXvJ+FMHK6QSCaOaAK7TLBHYHulvgriQML9TGdnZ5BbHTPnMBgMfTbn6EtcReZ8vHj64/hx789YNPmyfn93f2LqSVTsbanGlZ/dgsFpg/Di6U/EMbLE07TDhtULW6DPc2DML2OhUPb9omig4nY48OHx05F3zEzMeORJ0V2PN4ZfdCmczc0omn0itJlZ4vORjBuhzE9cLpconJubm1FZWQmXyyX2cGalGgaDoccxoi8XEySciSMVEsnEEUNfBHG0WyWFEn4ejyeohtjpdCIpKUnMDuXn50fFnKMnpHGdM+pUnDPq1JgtKxo0OJqw/sAWrK3dhDmlM3HOqFNivkxe6qA/uvg3uJt9aGnuwPrX9mLSlWUJjSee62XlHTfDurcCXpcL3k43VOBTJAPA+Otv8vs7mutJo9GEND9hroFS8xM2QZdlnaV3m/qbcQ9XOLPlkHAmBiIkkonDEiaIpcYcTBCz12MliEPBlrt//35RFLe3t0Oj0YgnspycnKjVG4aLTCbDpubtyGvPHzD1vtMKJ+LWYxbhiZXP4+Zv7sHk/HEoNPfNZW2g0rzbIf7fWuNMYCSHiIfI2fPZx9jxzpuATIYTXnoNSeaUbt+byHKLUNSuWonaxx6Ad/HngF4fk2Uw85OsrK7MNZvIyzLOdXV1KC8vh8/nE3s4s3kS0Vxf4QhnqXNgoHCOdccfgugrJJKJAQ+PgtjhcPhliB2OLnHD+hFnZmbCYDBAo9HELI5waGpvxp2/PY77NzyNry95G0MzEpuZBHovtwCA22Zcix/3/oy1tZtw9ee34qtL3k5om7pEcKTUJttr9uOnG68FAEy46S/IO3pGgiMKH4/Tie/+cAnaG+rx292348R//Scuy5XJZNBqtdBqtX7mJ21tbX522+3t7aJroLRUQ9oBJxqxSP9lsbB/mWhm7yHhTPAEiWRiQBEoiAMn1VVWVsLr9WLw4MFxE8ShehErFAoxQ1xcXIykpCSsXbsWY8aMiWhyXSwQBAH3rHoS9k4HStOLMSi1KNEhhY1KocLLZ/wdM14+Hb/sW4t/rHoJf5lxTUyWxcvJ2e12+/3d4eyA1+uNSm06r/i8Xixd9Ae4rBZkjp+IyXfcHdbneNlmyuRknPDSq/j8zFOw6723kTd1OkZeekVCYpHJZNDr9dDr9cjNzUVjYyN27dqFsWPHihMDq6urYbPZoFAoglrRJSUlxU04L1++HMOHD0dqaioJZyKhkEgmuEXauzNQEEttXgMH0VgJB2bOEVhHzE4+RqMRBQUFId20Ojs7xe/ghbc2foQVNb9CLVfhxdOegErBRyutcE98g1KL8ORJ9+JPX9yGR5c/i5OHzMbIrKExji4+eL1eOBwOv5ZgHR0dfu+pr6/H0qVL/SyQzWYzdDrdYSMetvznRdT+vAIqnQ4n/vv1sNq98XSMAUDBsccj9byL0PLB21j+lxuRPmoMssZPTHRYEAQBcrkcBoMBBoMB+fldTpasfzKrca6oqIDD4YBKpQoSztG8EyYdzwVBgEKh8KuflpZpAPATzGS3TcQKEskEF0gFsdScg2WNgUNiWCaTQalUdtu+KBonSUEQ0NHREdSLWGrOkZubG2TOEc738sB+6wH8dcnDAIArhp6P4ZmDExyRP+GupwvGnIGvyr9HY9tBdHg6ev8Ah0idEdnD4XBAqVSKEzizs7NhNBrxC74SP1eQX4iZM4fCYrHAarWitrYW27dvh0wm8xPN0XRyizdqgwH6vHxMuPEvMJcmvhQoEgRBQMppZ0FvacG+777BfxdeiPOWrUZyWnrC4wqFXC4X9x+G1+v1u2Crr69HW1ubaH4iFc/RMD+RlsgBh4SxNObACdcsdhLORDQhkUzEnUBBzDLEbNBjAx8b5LoTxKGIdEBkbZWkGWKPxyP2Is7KysLgwYOh0+kiKpfgaaAWBAG3fHsv7O42jMschXMHxb47RKyQyWT4z5n/QLIqtiIwmhc3bF+TPgRBEMtzCgsLYTQae7+9LQhITk5GcnIycnK6TF9YPTwTzrt374bD4QgypDCZTFHpmBLri77hF12KIede2KfP8HIhKkUml2PWsy/g83nHw7q3AkuvuRKnvP9JwseFcJevUCiQkpKClJRDEyaZ+Qkr1aitrUV7ezuSk5ODhHNf97XuJhNKnyPhTMQDEslETGGiN7CGuDtBzP6NlHAyyW63O6gXMTPnMBgMSE9PR0lJSdR6EbO4AD5O4F/uXILvdi+DSq7CQzNug7yDrxNGX7d/rAVyf2Bt/qSC2OVyiRdfmZmZKCsri+jiS/AFPyeXy8XsszQGJmRY3Snrq8syzYHtwfpCrAVHJI56PIkgdsyrjSbMe+N9LJ5zDFQ6HbwdHVAmJyc0rv6sp1DmJ8z4yGq1wmKxoLq6Gh0dHdDpdH6i2Wg0Rr2Hs/T/0vpmdq6Rvi+wvpmEM9EdJJKJqBI4qU7aK1N6hS8dpKKNVIgycw6pKO7o6EBycjKMRiPMZjMKCwuh1+tj2os4VGyJ4pjiKbh03HnI0WeiNKUYdXV1iQ4piEjWU4vTgtfWvY8rJlyIlGRT7x+IMoHdA1hXE7VaLQrXvLy8iN3RAEAmPySOw+1uoVQqgwwpWF9di8WCuro67Ny5EwBEESMt00iEeDjwy8+w1+xH2ZnncGM73V9kMhnSR43G+ct/Q8qQoQkXZbFoladWq5Geno709EOlJC6XS7xAa25uxt69e+F2u0XzE/YwGAx+Ncj9obeJgewcFUo4B/ZxJo5sSCQTEdOTIAYODcJs4AFim+Hxer1wuVxoa2vDtm3bYLPZRHMOdis7Ly8PBoMhrr2IAb4yW6nJZvzzlIchCAIaGhq4EO7R4IL3r8ZvNeshQMCtxyyK2veG2naCIASVTdjtdgDw62rCyiaiGAyA/x1f/WgBF6qvrsPhEMVM4GQtacY5HsfOr4/cjwOrVsJaWYHJt9/Vp8/ytj8H3v5PHTrM7zWf2w1FAlpBxms9aTQaZGZmIjMzU1xuR0eHeDHZ0NCA3bt3i+YnJpMJXq8XTqfTTzj3l74K554MUIgjBxLJRFhIa4jdbrdfdjhUhpj9HSvY7H9phritrQ0KhQIKhQIZGRnIzs6GwWCIykSS/sJDuYWlwwaTxhDyZMETkcb1hwkX4bea9Xjp9zdx3dQrkKSMnvAQBAEtLS1+ophlw9jEuiFDhsS8s4RMDgj/c/8NVW4R8ffKZEFdDthkLVbfXFNTA6fTKd46Z4I52vt0w7o1OLBqJeQqFUZcfFlE38Hrvi2lw9KKn264BnKlEif+582ExJyoZbJa+kDzE3aR5vP5sHnzZgAI6uEczWOsN+HMznuBnTfkcrk4V4aE8+ENiWQiiMBJdYG9iMvLy6HValFUVCTWlcW6FzG7jc1EcVtbG5RKpZi1y8jIgNFoRGNjI1pbW1FSUhKzePpDokSyT/DhjLcvQ6rWjKdPflB0qON1cI9kPZ018mQ88NPfUWOrw/ubP8Nl48+PaNls8hsTwxaLBZ2dndi5c6dfiY7BYIh7j2KZXJJJjvG+FGqylvTWeWNjIywWC7xeL1avXu2Xbe6PGcX6fz4FABhyzvnQ5+X3+fO8Z5IZlj27sffrLyB4vSiYdTxGXHJ53OPi5fiXmp/k5ORg3759mDZtGmQymbi/7d+/H9u2bYNMJvNrQ2cymYJabvY3Fum/gL9wXrNmDfLz88XJst1lm3lZt0T/IJF8hNObIJYOGEwQKBQKv7+jHU8ocw6W6WK3sQ0GQ8h6yWi1gIs2ic4kv7PpY2yo2wKjRh+UYeVxfUWCSqHCNVMux1+/fwT/XP0KLh13LuSynm/Vslu/rIbYarXC4XCI/WONRiPy8/NRXV2N6dOnx+mXdE+XSO4impnkcAm8dW6z2fD777+jqKhInKhls9mgVCqD2tCFc0fHsrcCe7/8DAAw7rqbIo5zIAiU7ImTMfWu+7H6/ruw4vabkT1pKlKHDY/b8nkSyYGwbK1Op4Ner0deXtdFvfQC1mq1orKyEna7XWyXKBXOGo0mJsKZxSYd09m5U/p+Es6HBySSjyACu0ywR2DbnN5m/EazF7HT6QwSxNJ2WPn5+TAYDGFnpngehBIVm6XDhvt+eBIAcMfMPyNTf2hSDc/rKxIuHXcuHl/xT+xpqcQ35T/glGEn+L3e2dkZ1H7N4/GIZRNsYp10f7PZbKiurk7EzwlCqvkFLx8XNzKZDLm5ucjNzQXQJWSkrcHq6urE1mDSbHOoDgcbn38Ggs+HohNOQtqIkYn4OVGnu0wyAIz/882oWbkM+39civ9ecTHO++HnuHW84PniuDsBL+3eEsr8RNr2UK1WB7Wii4b5SXc9nNlr7F8SzocHJJIPU6IliEMRiUiWTnSS1hF7vV5RoOTk5IgCJdLJGrxmkhmJiO2JFc/hYHsLhqQNwlWTLuYipp7oz0nDoNHjDxMX4B+rXsQzq1/GjJzJfoLY6XSKnU1SU1NRXFwc1VZ/sUaVrEBnW9eJ193mSXA0oZHL5TCbzTCbzeJzbrfbr8NBRUWF30Qts9kMjacTO959EwAw7s+RZ5EHEjK5HCe88ArenzEZLTu2YeVf/4LjnnoufsvnUKD1dFERilDmJ6z1ovRCra2tTewXLs0693Uiak8Z+HCFs1Rok3DmGxLJhwFMEEuNOZggZq9HKohDEY4QdblcQb2ImTmHwWBAZmYmSktLI+7N2p/YEkUiBr7ypj14ac1bAIDH5t4VZD3N62AcyUUYK9OZkzodLyheh86dhLUb1iE9Jc3Pta6vJ0We1pHGoEL7QTcAwGXvTHA04aNWq5GRkYGMjAwA/hO1LBYL9u/fj4M7tkNdUga514O2jGw0NDR0iec+Zv94KyPoTfRpM7Nwwkuv4vOzTsG21/+DgmOPQ9kZZ8clLp7WE6OvIjkUSqUyqJ5eehdJOhFVq9X6iebeWjT2db2FI5ylltuBwjkeE+GJ7iGRPMAIFMRScw72ejQFcSgChSgbfKSi2OVyiYNPvDN2PIvkeMd29w+Pw+Pz4OQhszG7dEbI9/C6vnpCalrA9jmfzwe9Xo9MUzp+vvgz5GXkJqzPb6zQmA4JfJeNz0xyOARO1AIA3+TJcJx9DppqatDudge5BbJSjf70meaVglmzMeHGW1H+4XvQZefEZZm8imRGtGNTqVRB/cLZHQ6bzYbW1lZUVVWJZj+BPZzZuSsa66034cxEM3sPCefEcXiNNIcZ3Qliads1ADEVxIF4PB64XC64XC5s3boVNptNNOcwGAwwm80oKCiAwWBIyImM50wyEF9B2uK0YNfBvVDKlXhozh0h38PjIBu4Db1eb5BrXUdHh3gRlpGREZO7EjyiMRw6pnjIJEdzfxbrTUeMEJ+TugVKRQwr02DiWa/X++03PO3X4cY05a/3Ytz1NyEpJbXH90ULXsfJeG7DwDscAPx6ODc1NWHPnj3ivAWTyQSXywWn0wmfzxf1u6DSfwESzjxAIpkTpD0ZfT4fPB6PKIh9Pp/fASQVxbGEiRNphri9vR0KhUK8Ks/NzU2IOUd38CyS4z14pSab8fuib/Hb/g0oTSvu9n08rS9Wu+5yubBz506x3Z9KpRIn7OTm5oadTdzeuAsb6rZgwdjY376OB34i2ZZ4kQz0f7/2eTzY+MI/MfyiS5Cclu73Wndugax3cyi3QPaeaHY36A/hHl9ypdJPILsdDqj1+liFBYBPQZXoCx1mtBNofsIu1rxeL8rLy7Fjx46gHs7sYi1ahCuc2etSwUx229GBRHICCBTE0pIJn8+H/fv3w+VyYciQIZDJZGLT8lgiba0j7UUsFSdZWVkwGo2oqamBy+VCcXFxTGOKBN5FcrxjUyvUmFE8pdvXEz2AsqyN1LXO5/NBoVBAqVSKrnWRCJ4djbsx7aX5UCtUmFM6E1n6jN4/1A287FNqg6TcgoNMcjSo+PIz/HLPndjy73/hko07Ie+lJCspKQnZ2dnIzs4G4O8WaLFYAAC//vorNBqNX7Y5knr0aBLu/isIAra/+Sp+uf9unPn5f5E+ekxM4uG13CLRIjkQmeyQ+Ul2djbq6uowZswYaDQaUTjX1tZix44dAOB3l6O/PcO7i0f6r3Rs8vl8WLlyJUaPHi1OnCXh3D9IJMeYngSxtGyC7bxKpRJyuVwUCrGAmXNIs8QOhwMKhUJsvTZo0CAYDIaQ4oR3Icoz8Vhvzs4OfLj1C1w05sygiXqJignounUe2H6NudYZDAbRtc5ms6G+vh5lZWX9Wt6wjDJMyjsKa2o34qXf38I9x98cpV+SOKSZ5A7rwBfJgiBg/bP/AAAMW3BprwI5FDLZIbfA3Nxc1NTUYObMmX7Zv/3796Ojo0OsNWX1zdG0Pe6OSI6vqiX/hau1BUuuvhzn/bgKymham0vi4nG85E0kByLt4azT6cTWh+xijZVqVFdXw263i2VE0omBsTA/Yf/3er1+d5oDO1oBJJz7AonkKNPdpLpQgri7koloitBwzDmYe1i4By7vIpnn2OLBv9e8hXt+eAIfb/saX1z8RkJikrokskdbWxs0Go14wuiudt1ut0clBplMhhumX4mLF1+L/6x7BzcdfRUMmtjevo41UpHs8/C5n/eF2p+Xo2njeiiSkjDmj3+K2vcqFAqkpqYiNfVQ+QJzC7RYLGhoaMCuXbvg8/n8BIzZbI6qgJHSlxabxz39POrX/IaWHdvw60P34piHHo96PLwyEERyd+dtdrEWaH7CLtb27t0rmp8E9nBOitKFUKDZSWDGmZVwBv4OJpgD29Ed6ZBI7geBgljaA1F6oEt3vHCIVOixtkqBdcSCIPRoltBXeBeiR3JsNpcdT/3ybwDA+aNPC+sz/Y2J1ewFlk3IZDKxVGfQoEFi2UQ8OXnIbJSllmBPSyXe2rgY10zpu/UvVycKOUexRIENz3ZZUI9YsBDJ6ZGXw4RDoFugIAhoa2sTBUxVVZUoYKSmJ+G6BXZHJBlbbUYmjn/2RXx94VnY+PwzKD7xJOTPPC7iGKIVVzwYqCI5FFLzk4KCAgCH5vqw/a6hoQEOh0MsD5JetEWy33U3obC3+mamZUg4+0MiOUykjcADBTF7XSqIgcgP8nDEFJvgJJ31LzXnYLevBw8eDJ1Od0T1IuY1NiD2pQ3P//oaWp0WDEkbhPNHn97r+yNZX7251rGJdZFeiEVzGyrkClw37Qrc+PXdeHntO1g0+bLDapD3+QTIEyic+yO0rFV7Ub30O0Amw1HX/jlq8QDhjb0ymQx6vd7P9pgJGDYx8MCBA2hvb4dWq/XLNktbgsWKkpNOxsiFf8C2N17B0kV/xAWr1iLJnNL7B8OEd5HMK/1dbwqFIshsh5WisXZ0bL9j7Q+lWefe6ur7El9fhXOorhqHu3AmkRyCwC4T3WWIZTKZOFBGcyeRy+VBAwXrCyvNELvdbuh0uri3wTrShWikxHq9tbS34vlfXwUA/HXWjVDK+394S28XSl3r2OA9EFzrzh11Kv665BHsbanG+rotmJAbm4lQicDZ4oYuPb7Z+Wix+6MPAQAFs46HqaQ0wdF0EUrA9OQWKM0463S6kOeB/oiqox96HDUrl8G6twLLb70Bc//zZoS/LBieRTLPwisW602pVAaVB7FkBNv39u3bJ7a+lIrmwE4//Y2vN+HMxLP0/YElpDxvv75yxIvkwEl1gb2IpTtMLARxKHw+H1wul3j7z2azieYcBoMBqampKCoqiks2IxQ8i2TeY4slT/3yb9jdbRidNRynD58bdkzSAdDpdAaVTSgUiqAOJ/25/Rxv9God5g05HiuqfkWttS4ikczrPuVocA5Ykey226FISsLgs8+L2nfGYjt15xbIss379+/Htm3b/OyRmXjWaDT9ikmt1+OEl17DJ/PnwFRcAsHngyxKSRBe92le42JEuz9yd4QyP3G5XKJwbm5uRmVlJVwul9jD2Wg0BvkoRIPehLPX6w16/+Fit33EiuS3334bSqUS8+bNCypij6cgZh7z0gyx0+mEXC6Hw+GA0WhEfn5+wsw5QsG7ED0SY6uzN+DlNW8DAO457mbIZb0P4ixD5vF4sHHjRthsNtG1ju130Z6JHQ6xWE9PnnQvjEmGqGTXecJR34GskYmOIjKm3/8wJt5yO2QxGNdiub/KZIfcAllnA5/PJ9aZWiwWlJeXo62tDUlJSdDr9RAEAS0tLTCZTH1ObGRPnIxLN+yAPjcvJr+FN9jEM15JZAZeo9EEXbCxCalWqxWNjY0AgJ9//lmcmM8u3KJ9lzkc4SwVz0w4sw5eA4XD64zRB1atWgWFQoGTTjopbi1QvF5vUC/i9vZ2aDQacYfOycmB0+lEQ0MDRo0aFdN4IuVIFaLRIFaxtbudmFo4Ae1uJ04oOzbo9e5c61imKz09HYMGDTpsXetStdGr5eQJR0NHokPoF2qjMdEhRAVpFrmwsBDAodvlDQ0NOHjwIDZt2iS2PJRmm8MxoJAKZG9nJ+QKRb8zyjyXW/AKb5MKZTKZaH6SlZUFr9eL77//HlOnToXT6RQNd8rLy+Hz+YJ6OHdXItSfeKT/AsHCmdeyvO44YkWySqWC2+2OaS9ih8PhlyFua2uDUqmE0WiEwWBAZmam2ItYSmNjI9cDBc9ClJfBKxSxjK00rRifLXgddpcDAMSLMWn7NdZ2iE2uMxgMcDqd2Lx5M/Lz82MWW1+J5XryCT5UNFdhcPogLuLpL47GxIrkiLrw+HywVOxByuAhMYuHh23Gbper1WocOHAAs2bN8uvdLDWgkAoXs9ncbTuw1l3lWHL15Rh63oU4atH1/YqP1zGcV/EO8LV/hYLVCrN+4FLDHdaSU1oixDoQSbtqxNL8RFrLPFA4YkWyWq2Gw+GIynf5fL6QvYiZOYfBYEBxcTEMBgOSkpJ63QF535l4F8lHWmysTo0NgKztH7s70dO+53Q6uVxfsYip2lKDk16/AA53G3bf/CuSlAOzllcKD5nkvp5QD6xehU9POQF5x8zEGV98x63giBbSiWhS5zbgUD9xVt9cUVEBu90utgOTTgxUKpWoWdnVV7plxzYUHn8CUocO61dcPN41IpEcOd3FJ+3kIi0RkrZArK6uhs1mg0KhCGpFF45uCSc2Hs81vXHEimSVSiX6nvcFZs4RWEfMdkLWD7E/tZw8Cz0gdPcNXuB93fU3NlbDzkTx3sYqfFL9X1xYdjqKMgqQlZXVp7Z/vA72saDAlAuZTAaby4Elu5fhtDAnN/KMvS7xIrmv7ProAwCAsaj4iNr/QiGXy8VECuujK20HZrFYxK4Ger0exklTkTF9Bpp+WYml1/wR53y3DPJ+1HTzuP4Hgkjm8eICOJRJDmf9Sfc9didRWltvs9lQUVEBh8MBlUoVJJzj3fM+URyxIlmtVqOzs2dbV2aSENiLmJlzMBtUg8EQ1doe3oUe7/HxGltf94/eXOuMRiN+3PsrPqtdApumHZ/OfC2iuHhbX7E6Qcplcpw98hQ8u/o/WLz1yz6JZN7WEcOyry3RIfQJr9uNPZ9/AgAYcu4FUf9+HjN9fRV9odqBScs08q69Ec0b16Nx/Vp8fttNGHblNWLGuS+JGV7FKK9xAX0ToYmgv/u/tLae4fV6/Xo419fXi+ehQNfAgdT1KFyOWJGsUqmCRDK7bS3NEHs8HrEXcV+zdJHCuwjlOb6BGlskrnV19ga8t+0zAMCN06+KOCYeidU2PHfUqXh29X/w3e6fYO2ww5RkiMly4oWlemCJ5H0/LoWrtQXarGzkHRM8wZQIjXRy1pAhQ5D2t6fxw7VXou7tN5B33AloTUuH3W4XM37S+ubuzCd4FqO8xsXjRZiUWPSYVigUSElJQUrKocnP0rsdrL6+vb0dycnJQcKZl65ckTKwo+8HLpcLlZWVuOOOO7B582acddZZGDRoEHQ6HQwGA9LT01FSUpIQkwS5XE41yRHCc2zAoUG2s7NTvK3F/mUXZCaTCTk5ORg2bFiPkyieXf0fuLxuTC2YgJnFU/sd05HA6KzhGJpeivKDFfiqfAkWjD070SH1C/sBJzwuL5SagTFjfNdH7wMABp91LuQDbJZ7pMRCjA678GJUfPEpqr77BpX/eAznLFkOyOVBwsXpdEKr1frVNhuNRm7LBYCubC3PIhTgVyTHa92FutvBDM9YmVB1dTU6OjrEc5rRaERKSsqAK9M4IkSy1WrFunXrsGbNGqxduxZr1qxBdXU1kpKSkJaWhmnTpmH69OkYMmQIF1c9vAs9nuPjcfBinU7cbjdqampQWVkpWo4ajUaYzWYUFhb2yRymwdGEV9e9BwC4bca1Ef9uHtdXrHvcnjvqNDy07Cks3vplWCKZx3XEEATAsq8d6YMTkxHvyzjgdjhQ+e1XAIAh55wf03h42maxGCtlMhlmPfUc3ps+AXKFois7n5kVlPFjvdAtFguampqwZ88eeDweGI1G0Uq+ra0t6h0N+gtPsUjhcf+SksjJmGq1Gunp6UhPTxefk/Zwbm5uhtvt9nt9IJB4RRgHFi1ahFWrVmHSpEmYOHEirr76aqxfvx5LlizBxx9/nOjwguBZhAJ8x8diS9StxJ5c6wBAr9ejqKio3651z/36Kjo8LkzMG4vjBx3T75h5I5YxnTPqFDy07Cksr1yNBkcTsvQZMVtWf2H7E6sHrDtwIOg9lRtrYCgclLAMTbjHWeW3X8HT3g7ToFJkjpsQ46j4IhZjkT4nF2d9vRQpQ4Z2O3kvlFtge3u72EnDarVi1apVYi2qNOOcqP2J5zIQnmMD+ItPo9EgMzMTmZmZ1N0iXB577DHceeeduOGGG/D0008DAGbNmoXly5f7ve/qq6/Giy++KP69b98+LFq0CD/99BP0ej0WLlyIRx99NKzM7+uvvx4kSCoqKnqduJcoeBahAN/xxXuAYLeYpA+v1yu2X5O61m3YsAEZGRn9vpJudVrFLPJfjrmmX7+ZpwE1XpSkFOLBObdjeuFEZOr4ymqwWj/pRBmPx+NnAgD4t67cvaYazYZqJCcnw2w2iw+DwcDVbfWy086ESquFr7MzZvsdj+NSLGNKG9E3u0WZTAadTgedToempibo9XqUlJTAbreLbejYxCxpfanZbIbRaIxL6SFvQk8Kz7EB/Mc3EImrSF6zZg1eeukljBkzJui1K6+8Eg888ID4t1arFf/v9Xoxf/58ZGdn45dffkFdXR0uvfRSqFQqPPLII70uN1TGLpzuFomC5xZrwMAQybEYLKSOiUzAdHR0QKvVinXsPbnWRWu9eX0eXDjmTGyo24K5g4/r9/fxti3jMcj/edof+/T+WKwjltWT7k8Oh0OcNZ6SkiL2uGb7037dtqDvSVfl4LjZI2CxWGCxWNDY2Ijdu3fD5/OJAoc9ElkPqNBoMGj+aXFZFm9CIdbxeDo68PujD0Jl0GPSrXeG9Rk2RobqaNDZ2SneJm9paUFlZSU6OzuDHNvCcQvsKzwLPZ5jA7pK+3i6MD4ciJtIdjgcWLBgAV5++WU89NBDQa9rtVqxwXogS5Yswfbt27F06VJkZWXhqKOOwoMPPojbb78d9913X0S3rXkWyWQmEjlSkdwfpAKGPRwOh+iYyCzEjUZjt7PHu4utv6Tr0vDkvHvhE/o/SYPXAZ/X/as/SGeEs3+ZVSwzfYnkNndrVRtUKlXQbXVmUmGxWLB79244HA4xO8hEM++TuA4H4iGs9v2wBOuf/TvkSiWK556MjNFjw/pcd3GpVCq/+lLWfYfVN4dyC2SlGt25BYYLz0KUVwMWBs/rbqASN5F87bXXYv78+ZgzZ05IkfzOO+/g7bffRnZ2Nk499VTcfffdYjZ59erVGD16NLKyssT3z507F4sWLcK2bdswbty4PsfDu0jmWSTwHh/Qd5Elda1jD6lrXWFhIYxGY7+dh6K53uQyfgfrgcCmum14Zd17GJ5RhkVTLovqd0trP5kobmtrQ1JSEkwmE1JTU8XuOf096bZWBTuHSh22mFEAyw5aLBYcPHgQFRUV8Hq94uRR9uiLyAl3f/7+T1fAWFiE0X/8E7SZWb1/IEJ4n1gVK0pOPhWDTj0De7/8DEsX/RHn/bgKil6SR30RVN25BTocDnEfZxdiGo3Gr7a5r23AeBZ6PHfeAPiPbyASF5H8/vvvY/369VizZk3I1y+66CIUFRUhNzcXmzdvxu23347y8nJ88klX0/n6+no/gQxA/Lu+vj6imJRKJbcimZ00eR0seBbJ4WSSA13rbDYbXC6X2A87MzMTZWVlUe+H3d/11untxC3f3o+F487FhLzwMkWxjikWxGuf39ZYjjc2fIAhaYPwp8kLu11uOPF0dnb6ZYltNht8Pl+3Pa6jiaUqvF7JobKDoSyRk5KSRMHMRE5Px0Fv68e2rxrlH7wLyGQYufAP4f+ww4R4jOMymQyz/v4sDvzyM5q3bcHaJx/FlL/e22tc/UEul4v7d6BbINunpG6B0mxzTxeHvI1HUng9JzN4z3QPRGIukvfv348bbrgB33//fbcZiquuOmSEMHr0aOTk5GD27NmoqKhAaWlpTOJSq9Vwu90x+e7+Esu62mjAo7BiBK4vn88nZvSkrnVqtVrs3Zifnw+DwRDz9n/93ZYfb/sab2z4AN/sWoptf14OjTJ6govXfS2WnDLsBNz49d3Y1bwXm+u3Y2xOeJOgmLiUlk2wRvpGoxHp6ekoLS2NuekQo73ZDZe9ExpDeGU/jFDZZo/HI2abm5ubUVFRIbYMC8w2h7u/7P5kMQAg7+gZ0Ofl9+3HHQbEa6zUZmRi1pPP4L+XL8DafzyBkpNPReZR43v8TLSP+d7cAuvq6rBz504IghBkesL2KZ6FHu/jJO/xAQPvLk/MRfK6devQ2NiI8eMPHaxerxcrVqzAc889B5fLFTRjdsqUKQCAPXv2oLS0FNnZ2fj999/93tPQ0AAA3dYx94ZarYbH4+Fyp2Lx8FqEz6tIFgQBLpcLALB3717R0lkmk4llE7HM6IUbY6Sfe+aXlwEAiyZfFjWBzNu+z4jH/mXUGHDSkOPx+Y7/YvG2L7sVyZ2dnRAEAXv37hWFMQBxElNZWVm/W/pFgilfC2tNO4CuuuTs0eZ+f6dSqURaWhrS0tIAHCobYbXNlZWVsNvtUKvVopub1+uF1+vttvPBro8+ABC73shSeBzPgfgdZ2VnnI2yLz7Fnk8/wtJFf8T5y1ZD0c1YF691JXULZMuV3sFg+xRzC5TL5ejs7ERnZ2fY8z3iBa/7F4PKLaJPzEXy7NmzsWXLFr/nLr/8cgwbNgy33357yIF148aNAICcnBwAwLRp0/Dwww+jsbERmZmZAIDvv/8eRqMRI0aMiCiugZJJ5hFeRLK0XRZ7sBIaj8eD7OxsDBkyBDqdjouBoz/r7afKVdjetAt6tQ5/mHhRlCPjf/CPFeeOOhWf7/gvPt76FR6YfRsgIChL7HQ6AXRlxGJVihMJqaV6USQ377FHRSQHIm0ZlpeXB8D/lnpjYyNcLheWLl0q2tCybHNycjJadmxH87YtkKtUKD3tzKjHRwRz7N+eRu3PK2Cv2YeDWzcja8KkkO9L1DEf6g6G1+sVj7e6ujq0t7fjhx9+8HML5KGtIe/jJM9Z+IFKzEWywWDAqFGj/J7T6XRIS0vDqFGjUFFRgXfffRcnn3wy0tLSsHnzZtx0002YOXOm2CruxBNPxIgRI3DJJZfgiSeeQH19Pe666y5ce+21EWcEVSoVPB5Pv39fLBgoIjmeAwabJCIVxKFc6/R6PVasWIHS0tJ+z7KONv1ZV8//+hoA4OKjzoY5yRitkLgc8ON5EXZs4TQY1HocsDfg9aXvolTdVVvJBF9mZibUajXWrl0b8QV5rEgfYkDl8kYAwMFd9rgtV3pL3WQyYevWrZg0aZKYba6qqhIzg9aPu2yoc449DiqjqZdvPjyJt7BKTkvHSa+9A0NBIYyFRT3GxQsKhUJ0C1QoFKivr8fYsWPFbHOgW6C0Xj6eboEDQSTzHN9AJOGOe2q1GkuXLsXTTz+NtrY2FBQU4Oyzz8Zdd90lvkehUOCrr77CokWLMG3aNOh0OixcuNCvr3JfUalU3E7cGwgiGYjdARnKtc7hcPhNFMnMzOz2Fjcvme5QRBLXjsbdWFqxAjLI8KfJC2MQFb/7WjSRXmixGsmOjg5MTx+P7w6swC+t63HeyWcE3XlgmWTeSBtyyIq6OY4iWQobA7RaLbRaLXJzcwF0ZQatVis+vf5KAIBszHgsXboUBoPBr7Y5OTk5qmMIiYQu8o6eEdb7eFxXbBuq1WrRrY09z+aXWCwWVFdXw2azQalUBrWhi1XpE+/7F8/lFgP1HJMQkbxs2TLx/wUFBUFue6EoKirCN998E7UYeG8BB4DbXsnRFvGsM4D04fF4xBnReXl5MJlMfTqh8nhARire//X76wC6JpqVpBRGPabDFdbWjwliu93ud6GVnZ3d1Se4JAk7v9qL0fnDodfrEx122KSVHRLJB3fbEhZHqH1IoVBAr1ajZPYJ2PfD9zj55r/AK5eL2ebq6mps2bJFrEOVdtOI9QTaeJNoYbV/2Q+wVFRg9B+u8ns+0XF1R3dxSUt/2MWYz+fzcwtkpRrSfuBsgnY03AJ5nSfEoHKL6HN4jUZ9gHeRzHM2tD8iWepaxx5Op1PsDJCamhrkMhZJfDyuu0hPSGOzR6DQnI/rpl4R5YgOwdP6imT7BfZsZW6IrK1fTk4Ohg0bFvLW7Mziqdh03Y/9agGXCFTJCpgKtLDub8fBXXbuRI9ar8fxz74IweeD7H/HcnJysjjXhNWhMuG8f/9+dHR0BGWb+3I7nbd1ACT22Kpf+zs+P3M+5CoVcqcfg7Thh0qGeFxXQN/i6s0tsLm5GXv37g1yCzSbzRHNVeF1nTF4j28gcsSKZJVKxe3EPYBfoQeEL5LDca1j2bxozmLmed1FEtcfJy7A5eMviIl5yEAdUF0ul58gZlliljXKzc2F0WgMKys5kE1Z0ocYYN3fjg5LJ9qaXNBn8lWHD0AUyIFI61AZHR0dfqJ569atUCqVfplms9k84LLNiTrOsiZMQvHck1H13Tf48c9/wtn//Qny/2VUeR4j+7O+QvUDdzqd4nhRW1uL7du3+wls9uhtHgvvIpT3TDdLAA4kBtZIE0XUajUEQYDX6+VywOVZ6HUnkt1ut18/Yrvd7me7Gy3XunDj443+bFOFvP+3CnuCp30tVK9ru93u13HC5XJBr9f7CeL+TuBxeVxYU7sRxxRN6e9PiBvpQwyo+KGrHWbTThs3Itl5sAmOA7VIHz22T9skKSkJ2dnZfq5uobLNer3eL9vMSwebUCTy2JLJZJj1j3/i3ak/o2Ht79j80vM46po/i3Hxus6iGZe0Zp7dxWB3nliZBnMLZI6Y0jINqT7geZ0B/Mc3EOFPHcYJVtjvcrm4FMlyuZwr4SKFHYQWiwUdHR1+wkWn08FgMCS0VRavFxh9Hby+3fUDbB0OnDlyHtSK2ExE4W1AFQQBbrcbHo8Hu3fvFmuJ2d0Hk8nUpyxxuLi9bgx56mhYOqxYf833KE0rDhkbb+srY/ih28xNO20omZkZ1+V3d5zt/vRjrLjtRgyafxpOfvvDiL9fLpeLQpjBss2BWUE2EVAQBO567CZyv9Hn5uHoBx/FTzdei18fuhcl8+bDVFKa8Li6Ix7HmXRuAoMZ6bCJgVVVVeLFOBPNrA8/r/A4Rg10+FOHcYKJZJ7rknmZuMeav0vLJgCgvLw8otvbsYZnkRxuXIIg4P4f/44dTbth6bDi6smXxjS2RK0vr9crWoSzE5Tb7Rb3/0gmbUaCWqHGmOwRWFG1Gt9XLPcTyTyfdDKHHzrJN263JiSGUOuneul3AICsiZOjvrxQ2WY2eaupqQk+nw8//PCDnxWy2WyGXq9PyLbkQbiMuPQK7Pr4Q9SuXI4fb7gGZ3z+Xy7iCkWi4go00gEOuQVaLBbU1dXBYrHA5/Pht99+88s4x/ruaLjw3N1ioJJ4RZMgWJaBZ5GcCOHCXOukgthu72ovxcomiouLsXXrVkyYMAFarTbuMYYDjyIZCD+uH/f+jB1Nu6FX63DBmNiZMMRzQBUEQTzpMFHMatSlFuEAsG3bNgwdOjRusQHACWUzsaJqNZbsWR6zVnvRJnOEJJO8I3EdLqR4OjpQu3IZAKBoztyYL09aW5qamgqLxYIZM2aIJRoHDhzAzp07IZPJgjppxNslMVHIZDIc/8y/8N7RE1G7cjn2LV0CQZuYi4be4Em8B7oFVldXo76+Hnl5ebBaraioqIDD4YBarQ6qb07EnQzeu1vwsl37whErkpkJyZEukkO51rndbrHeszvXOt4PRB5Fcl8GiOd/6zIPueSoc2BKMvTy7v4Ti/XFuhcwQcwcEVmGr6CgIGQWxmazJWT7nVB6LO5e+jh+rvoN7Z1OaFXJcY+hr2jTNNBlatDW6ELjjsRkkgOpXbUSHqcTutw8pI0c1fsHoggTWBqNBllZWaK4kdagsqxge3s7dDqdn3A2GAxRP5HzIvpMJaWY8djfoTGaUDjnRNT88kuiQwoJL+urO1QqFfLz84PcAlkJUE1NDZxOp9++ZTKZ4uIWyPu6G4gcsSKZ9UzktcNFLGqSfT6fWDbBaj3b2tqg0WjEg7mwsBAGg6HXnpK8ClGA39jCjWtH4278ULEScpk85mUW0RpQpQYwTBA7HA6xD67JZAp730oUwzLKkG/MQY2tDj9X/YYTB8/ye53XE1DmcBMqGxvR1uhC20EXdOmRuZBGi33/K7Uomn0CN+tLWoNaWNjVa9ztdouiub6+HuXl5QDgJ5rNZnO/s808jUUjLz3URpLX/ZnXuIDQsYXq0iLtvtPQ0IBdu3bB5/OJ8yrYPhbtMjIqt4g+R6xIZo4+PFtT96cmmd3aDiybkMvlYtlERkYGjEZjRNbevApRgO/YwolLNA8ZGn3zkO7o6/ryeDxBHSc8Hk9UOpkkapCXyWSYUzYTr6//AN9XrAgSybySOcIo2lM3brfGffJeIKweuTAOpRaB9GU/DuXo5nA40NraCqvVivLycrS1tUGr1fqJZr1e3+eMII/CpdNqwcF1a5Bx0smJDsWPgSaSQ6HRaEK6BbJsMzPTYaVmUpvt/lyU8V5uMRA5YkUywHev5L4KvZ5c66LZJivS+OIJr7GFE9fBtmZ8sPkzAIipeYg0pt6Q9hmV1hJrNBoYjUaYzWYUFRVBr9dHLUucqO13QumxXSJ5T+8uoLyQyA4XgdvJWrUXlj27IVcqUXDs8XGLQ0qk45tMJoPBYIDBcKi8ibW1tFgsYkZQEARxv2ePnhINPI5Fzdu3Yec1f8BuhRxFv22CNiOxF1ZSDgeRHIjULTAvLw/AofaGbP86cOAA2tvbodVq/bLNfbn7xrtI5nW79kSfRDLPO29fkclkUKlUA7Immc3m7s21LpqipS/xJRpe99Fw1llzeysmF4xHu7sdk/PHxSky/xM5q1OXimJpv+vi4mIxS3y4cWzJNNx3/K04sWzWgBnv/DpcbIt/XbJ0Helz83HGF/9Fa3k5NBIXtIGKWq1GRkYGMjIyABzKNrMyDdZfNzk52U80B9af8rYfmQcPgSo1DR1Ve7Hy9lsw99W3Eh2SCK/nFSC6Gkja3rCoqAjAoYsy5hZYUVEh3qGTZpu76wvu8/m4an14OCCK5H//+9848cQTUVxcHPKNLpcLL730Ev785z/HK7aYMxAyydIsHru9HQ/XunDj4xGeY+strqEZZfjqkrfQ5m6Py4mVxdPY2CjuZ21tbUhKSoqaTXhfSaSgMGj0uOnoq/2e403gBJI1yiz+v36zJWFxAIBCrUb+jFnInzErYTHE2qiIZZsLCgoAHLJBZi3odu/eDZ/PJwoaj8fDTTtPhkKlQv51N6Pi9huw+9PFGHzOeRh08qmJDgtA15jE67yFWF84h7ooY+MyM9PZtm2bX0cXJp41Gs2AubAfSIgi+ZprroHZbMa7776L2bNnB+2k7e3tuPHGG/GnP/3psGmbw2Mm2e12w2azweVyoaqqCuXl5fD5fGLZREFBAYxGY8z7xvYGz0KU19j6EpdOHZvWetKyHJYpBrpEckpKCkpKSsQBN5HwuP14JTlFDVOBFtb97ajfYoHPJ0AuPzJPlInYb0LZILe1tYnZ5qamJrhcLixbtswv22w0GhN6azyptAzD/7gI2196DstvvQF5R8/kIvvP87EfbxHanVsgS5hZrVbs2rVLdAsEAL1ej5aWFm58CwY64hrUaDQ4/vjjceaZZ+Kuu+7Cdddd51ebpVKpRFFJIjk6SI0U2KOjowNarRaCIECv12P48OERTRSJNbwKUQaPsfU2uL636VPMKZuJDF1aj+8LF6kJDBPELEtsMpmQnp6OQYMGYd26dRg5ciS3Pa/jjdfnxUdbv8KPe3/G0/MfhAJ8HXuhyBlrhnV/O9wODyyVbUgt1cc9hrpff8Huzz5G6amnI+/omXFfPi/IZDLo9Xro9Xrk5+ejuroaTU1NKCkpgcViEW+je73eoNrmeJYwCYKA0TfcjNql/4W1Yg9WP3A3Zv392bgtv6e4eM2G+ny+hJ+LpVlkBkt+7NixAx0dHdi0aZPYylWabU6Uoc5ARsl2yM7OTvztb3/DBRdcgCuuuAJr167F008/Ld5Sksvl8Hq93GVeI4V1t4jX7wnlWtfW1gaVSiWWTUhd6zZu3ChmG3iEZ5HMc2zdxbWzaTf+9MVtSFYmYedNq2BO6vt2ZwMlyzCwfsOs7dCgQYNCzp7mbX0lehCXy+R44Ke/o8ZWh3NGnYJjC6cB4PPCi5E12oydXx0AANRtbk2ISN7zxafY/NLz8LS3JUwk8yiw2GQqqZubtNuBxWJBRUUF7HY7NBpNULY5lqUHqmQtjnvqOXx22knY+uq/MfS8C5EzZVrMlhcOPG5DBq+xqVQqpKWlQafTISUlBUVFRXC5XH727Tt27AAA8cKMiWeNRhPX0r6BhphJViqVaG1txVlnnYXRo0fjnHPOwZw5c/DKK6/gmGOOgUajgVwu57aGNxJiWZPMXOuYWLHb7aJgkU5+6m4HjUWf5GjCm7CSwmtsPcX1n7XvAgBml84ISyCzCUTSfay9vR3JyckwmUzIyMhAWVkZdDpdr5kPHgf9RG4/v1Zwe5aLIplncsYe6tFav9mCkWcWxGW5UtGQyNZvvBN4jIXqduDxeMTa05aWFuzduxcejydktjkaxyzbdvkzZmHEJZdBJlcgddjwfn9vtOLiEZ5jAw7FJ5PJguzb2TmD7WPSC7PA+uZYlWnwvO66Q8wks0wxAAwePBhr167FwoULMX/+fPztb3/DhRdeCIVCcdhkkoEukRyNPsmsZ6w0S+xyuaDT6WA0GpGVlYUhQ4ZAq9WGfauGV6HH4Dk+XmPrboCwuex4b/OnAICrJl0S8j2sVp0JYlZLzC66ysrKYDQaIy6F4nF9JRKxFVzFCjx0/B2JDqdXskebxf83bLHEffm26kpYdu9KaOs3Xgn32FIqlUHZZqfTKWabKysrYbfboVar/ay1TSZTRNlmqeA77ul/QcZJSR/PQpT3Fms9mYlIJ50yt0BpJyOr1Yr9+/ejo6MDOp3Ob/+K58Rt3vDLJEuzqkqlEu+++y6eeOIJ3HTTTdi6dStcLhe35huREEkmWepaJy2bYD1jjUYj8vPzYTAY+nU11l8zkVjDqxAF+L5aDbXO3t/8GRzuNgxNL8XM4qniPiZtweZ0OqHVamE0GpGZmYnBgwd32waor/C2vniI59iSaVDJVdjbUo1Ky75Eh9Mr5hIdNAYlXHYP6jZZ4r786u+XAACyJ09N6OQvXgVWpL112aSt3NxcAF3zWFgmsLW1FZWVlejs7BRbhLFHXyd2SwWyIAhw22wJ2468bkOA79iAvot4pVKJ1NRUpKamis8xt0Bpb3CpWyATz4luHhAvRBUXWEohk8ng9Xpx2223Ydy4cbj++usTEmAs6a0muTvXOplMJgriQYMGRexa1xM8i1CA7/h4jS1UXIIg4KXfu3qUnlE0Fxs2bIDNZhP3MZPJhKysrJi3+ONtfSU6HoNGj6mFE7Cy6lf8ULESw1CU0Hh6Qy6XIWuUGftWH4R1fzucrW4kp8RvgnXV9/8FABRRqUUQ0dyXFQqFn6iRZpulTm4qlSoo2xyYtAkl+Oz79+HHG6+Bp70dZ329NGHZZV7FF+8iORq21KHcAlnSxmq1inc0lEql3/7VX7dAXhGPmhEjRgT9QIVCAa/XixNOOAHff/89nnrqqcPKQCAwkxxv17qe4FXoMXjOdPO67lhc0rKJZZW/YE9LJbSKJJyYPxPZ6dkYMmRI1LLE4cZFBHNC6cwukbx3JYblJFYki51wrIfMQhobG5Fh14oz1rPHdolkoKsuueTY+Lio+dxu1K5cBiDxIpnH4x6I3THWXbbZZrOJZRrV1dVwu90wGAxiJtBsNncrqOp/W43OtjZse+MVjLr8ypjE3RM8C9FoiNBYEotyEGm3FlY/z8YjdnHWnVugtM0hq5UeaCjZD/j5559DvkGhUEAQBBQUFOAf//hHPGOLKW63G+3t7fj666/xzTffoLy8HE888YQoiOPhWtcTvAo9Bs/x8RQbu3Vls9nQ2NiIjo4OWCwWMUvs1nuhUaixYNw5mDhmQsLi5GV9AfyI9hPKjsU9PzwBu7tNNPaJF263WzwBMSMhpVIJl8srvqelpQW//loPmUwGs9kMRfahUrj6LfERyYIgwFVfh6TUNAg+H9JGjY75MnuDl/2HEW/Rp1AokJKSgpSUFHH5bNyxWCzYt28ftm7dCkEQsG3bNqSnp4sZQUNBIabedT9W3nkrfrn3/1B80nzoc3LjFjuLl7dtyOC9Jjle606hUIgXW4zu3ALZuc5kMqGwsDDmsUWbsIpm2UrnoUdgJAiCgD179uD333/Hb7/9ht9//x0bNmyAIAjIzc3F3LlzcfbZZ+Poo4+GTqdLdLgAuspfeM3UAnwJ0VAkIjapXTgbLNgETjZIJCUlYdy4ceIxdVPJn7BwygXweBNX68/rCSnRDM8YjF03/YJUjRkrV66M2XICb2daLBZx8ozJZEJeXp5YA/jTj9uxG60AgGHDhqF4ZgbsdjtaW1thK6wTv3Pz9+UwHe9BSkqKWKMaK7RFxVi4ZTfaGxtoX+IQmUyG5ORkJCcn+xlSLFmyBCkpKbDb7eKELYPBAOO0GUgZPRatWzZhxW034eS3PohrvLyLZF5jAxIbX3dugexi/+DBg4evSGYMRIHMOPHEE5GVlYUpU6bg+uuvx5QpU3DLLbdg8uTJXFpt8y5CeY4vXrGxenUmbhwOh9joPbDvNQDU1tbi4MGDQYNYarI55rH2Bm/bkod4ZDIZsvQZUe/oEzijPLCf9dChQ8OuQZcaC+Rl5WP5H/dD8Alw1XSN1ZWVlbDZbEhKSoLZbBZFc7Rnq8tkMuiysqP2fZHCw34TCI/CSi6Xd7V/y88XTYSk2eacRX9G6/VXYe9Xn2PJM//AoPmnidnmWM6NAPhcXwyeYwP4SmQGlgKx7mkDjYR4Fj722GO48847ccMNN+Dpp58G0HWA3nLLLXj//ffhcrkwd+5c/Otf/0JWVpb4uX379mHRokX46aefoNfrsXDhQjz66KO9dpGQyWSoqKgI2nniaSbSV3gWoQDf8cViEPN6vWKPSSZsXC6X6Ggkzfb1tHy2zrw+L3Y27cHIrKFRj7Wv8Dzo84BMJkOH1xXx5zs6OsT9hl1MqdVqmEwmpKWlYdCgQVFx1VQlK5E+xICmnTa07m7H0MHDoFDJxf67ra2taGpqwu7duyEIAkwmkyiazWZzROLH6+qAwNnJj7f9mddxMlDwSfvqDhs2DEm7dmD900+i+vmnkTZpCmpra+F0OqHX6/06aUR7/gTPQpTn2AD+4xuIdKsuXS4XVCpV1K9K1qxZg5deegljxozxe/6mm27C119/jcWLF8NkMuG6667DWWedhVWrVgHoEinz589HdnY2fvnlF9TV1eHSSy+FSqXCI4880utyQ/2ORNtS94RcLue63R7vIrk/pSrSriZSMxilUilmiSNp8yddZ0v2LMMFH/wJ8wYfj/cveCniWKMFT9uSDfI8DPg+wYcLPrwaP+39BavHfoUhmaU9v/9/7fuk9cRSe9jCwkKx7CYWZI82o2mnDV63DwfLbcgaZQ7Zf9fhcKC1tRUWiwUHDhwQxQ8TzSkpKWG1eKr6eDE2P/UEVH++CZP+8teY/KbDgUTvx4Gw472nuCbf9n+o+OJTyORylKSlIXXoMNHFzWKxoLa2Ftu3bxfvZkiFc3+yzTwc993Bc2wA//ENRLo9wz/55JM4+eSTMW7cuKiteIfDgQULFuDll1/GQw89JD5vtVrxyiuv4N1338Xxx3c1on/ttdcwfPhw/Prrr5g6dSqWLFmC7du3Y+nSpcjKysJRRx2FBx98ELfffjvuu+++iFqPqNVqbh0Eee4eAfAvkvsCm6kr7Uvc2dkpTuLMz8+H0Wjsd19I6WdfW/8+AKAsvSTi74sWNKh2j1wmh7OzAx7Bg6V7VwaJZJalld5hACCWQASW3MSa7LFmbFnc1de5bpMFWaPMQe+RmgqwGsFQE7ukphUpKSl+M9UZ9SuXweuwQ6ZIyE3JIHgUCTyOk+HEpExOxqkffg5DfgEU/2txqtFokJWVJd7hZfMw2L5TV1eH9vZ20YyCPVgHlnBj420bMniODeCr3OJwoduR7f3330dJSUlURfK1116L+fPnY86cOX4ied26dejs7MScOXPE54YNG4bCwkKsXr0aU6dOxerVqzF69Gi/8ou5c+di0aJF2LZtG8aNG9fneHjOJPMsQgG+4+spNpYllgpih8MBlUol1oQyURyLriaCIGCfpRZLdi8HAFw+7oKoLyMSeNqWvJ2EZpfOwM/7fsfSihW4fOz5flnitrY2sd432iYvkZA9xiz+v74PznuBFrZS0wpmkez1esWMYUpKCvRJSWj87RcAQNEJ1B+5J3jbpxm9xWUuLevxdWlNfFFRV5tEqRlFXV0ddu7c2fVdkr7NZrO528QWz0KU59gAvuMbsC3guntBrVajo6Mjagt6//33sX79eqxZsybotfr6ejFrISUrKwv19fXie6QCmb3OXosEEsmRw3t8Yu3v/3qGSkUx631tMplQUFAg3v6OV+/rNzZ8AAECZpVMR2lacUyXGW5cPJLoAZ9lyUbruurGV1b9iuWrViDdnAaTyYSSkhKYTKaoGwn1B6lIrtvYGvH3hDKtYGUkra2tKC8vR9PqVfA6nVCmpKLDnAqHw5HQCwRe4XGcDKfcQoq3sxObXnwOap0eo67ouXdyoBmFz+eDw+EIyjZrtdqgbLNcLk/4cd8TvGdqee/jPBDpViTn5uZGbfDfv38/brjhBnz//fdcmZGo1Wq0t7cnOoyQsMGCV3gUyazljNPphN1ux8GDB9HW1gaVSiVmLwoLC2EwGBLW+9rj8+CtjR8BAC4fz0cWGeDzRB5v3G63aMLAehMrFAqk681IU5vR7LZAVqjBxCETEx1qtxiyk2HISYK9rgN1G1qjJjikhgL5+fkAgOVff4YDAPTjJ+LAgQPYsWOH2D+V1TabTKa4Hmu8CizeYurr8V7xxaf45Z47odLrUXTiSTDkF4T9WblcLjrUsvIeaR/whoYGlJeXA+gqU3I6nbBarUhJSeHqAhTgd/9i8N7HeSDSrUhevHixWHzf35W+bt06NDY2Yvz48eJzXq8XK1aswHPPPYfvvvtOPGik2eSGhgbx9l92djZ+//13v+9taGgQX4sEyiRHDg/xsVZa0kyxx+OBUqlEUlKSOElKo9FwMbDJZDKsaliLBkcTsvQZmD90Tu8figM8rBsp8YhHEAS0t7f71RNLHaNycnIwbNgwaLVa+Hw+jFszCksbfsaPlSsxd8ismMfXH3LHp6L86wPosHaiZa8DaaWGmCyn5qelAIDUKdMxZcoU+Hw+2Gw2cUJgVVUVOjs7YTQa/SYE8iZ8Yk2ix8meCPdYG3zmOdj873+h/vdfsfKOW3Dy2x/2a7lqtTrI+phlm8vLy1FXV4fKykokJyf7ZZuj3bqwrwwEkcxjfPE2Y4om3YrkaGZ8Z8+ejS1btvg9d/nll2PYsGG4/fbbUVBQAJVKhR9++AFnn302AKC8vBz79u3DtGnTAADTpk3Dww8/jMbGRvHA+v7772E0GjFixIiI4uJdJPM8cS/emW4maqSC2OFwQKPRiK2siouLYTAYsGfPnq4etwHlOTzwU91qAMAlR50DlSK2/Ub7Ao8DWDRjkpbdsIfP54PBYIDZbEZZWRmMRmO3dZLjzSOxtOFnLNv7S9RiihVMJAPAgfWtMRHJjgO1aN1VDsjlMI7rcoqUy+V+Llzszg4TzXv27IHD4UBycrKfaO7LpK5w4FEk8BZTX8stZHI5Zv3jOXw4ayr2fv0FKr/5CiUnnxK1eKSTSaurqzFkyBCkpKSIJRqNjY3YvXs3fD5fUCeNeF508SpCGVRuEX3iMiXZYDBg1KhRfs/pdDqkpaWJz//hD3/AzTffjNTUVBiNRlx//fWYNm0apk6dCqDLDGTEiBG45JJL8MQTT6C+vh533XUXrr322ogPEo1Gw3V3Cx6FCyPW8UkNF9i/TNQYjUYUFxd3Ww/K6yAhk8lw55hr8YejF2Bi3lGJDkeE1/XVH9jkIamtMyu7kV5QhZuVGmkagrllx2FmyVTuT5R5E1LE/x9Y34LR50bf5Uoml2PiLbfjYFUVlPrQIlxqJpCXlwcA6OzsFIVPfX09ysvLRVttJppNJlPE3UB4HDN5jqkv+3H6yFE46tobsf6ZJ7H8thuRN3MW1Hp9TGKTyWRQqVRBDm6sLt5isWD37t3iRZdUOIfqwhLt2HiFyi2iDx99ewA89dRTkMvlOPvss/3MRBgKhQJfffUVFi1ahGnTpkGn02HhwoV44IEHIl6mUqnkthfxkSSSA29922w2sWuAyWRCamoqSkpKwjZc4DULL5PJoJQpcMaIeYkOJQie9rW+noSkts6szpHZOpvNZuTn5/d7cqZRpcfbZz8XUavJeJM7LlX8f+26yCfv9YQuOwdT77ofBw4cwP79+8P+XKDwkbYQa21tRU1NDTo6OmA0Gv1qm2Npqx0PeBNWkYhkAJh021+x+9PFsO+rxu+PPYhjHno8JrGFiitUXXxnZ6d43B88eBAVFRXwer3i/sMe0bozzrNIjnSbEj0jimRWMxKvq5Bly5b5/Z2UlITnn38ezz//fLefKSoqwjfffBO1GMhxL3L6I0Q7Ozv9ssQ2mw0+n0+c3DFo0CAYjcaI7xDwuO68Pi98go+7uAB+B9Xu1lWgrbPVagUAsYVfdnZ2v7KRAx19VhKMecmw1TpRt6EFPp8AuZzPbRyqhZjT6RRFc2VlJex2OzQajV+2ubu7ADweXzxm9yJdTyqtFrOefBZfnnc6tr76b4y/4RZoMzKjHlu4Y5JKpUJ6ejrS09PFz0rNfCoqKmC328U2jWwyqclkimibkEiOnAHbAo5t9E8++QQbNmzA1VdfjfT09AF/5R4OPItkuVzOZTaUEa4QlWb5mLBpb29HcnIyjEYj0tPTUVpaCp1OF9UTCW8ny+92L8Ot396H0/NOxJQpUxIdThC8rS8pzOiCdZ6Q1qLHav8JhSAIqLbUYEfjLpw05PiYLqu/5E1Iha22Fi67By0VDqQPjl5dsstqxYHVq5AzdVrUvlNKcnIykpOTkZOTA+CQYQvLFu7Zs6dHW+2BeCJOFJGsq6IT5mLK/92L0lPOiLpABvonRENlm6X7T3NzMyoqKuDxeEJmm3tbLs8imekF3i7IBjpiqsXlcuHvf/87nn/+eRx33HFYsGABJk6ciPT0dOh0ukTGGDN4n7jHs3DpLj52+0uaKQa66tJNJlOvE6RiGVsieXPDh6i116PJeTDRoQTB06DPeqoCwI4dO2Cz2fxsnYuKimJq69wTdfYGjH1hNhQyBfbdtg56Nb/jYu74VOz4ohYAcGBdS1RF8oFVK/H1gnOQMnQYjvskenf2uqM3W23Wd1ev14vzTNiFOA/7No/Cqr9Zx0m33hnNcIKI5voKtf+0t7eL2WZ2t0LqMMlqmwPbF/LcJ5n3TPJARclW6EUXXYSLLroIP//8M/7617/i3HPPxfDhwzFnzhyceOKJGD58OPLy8g6r9j0qlYom7kUIK7ew2+1+t76dTie0Wi2MRiMyMzNRVlYWlyxfYGw8rbsDtnp8t2cZAODE3GMTG0w3JGp9SUtvWLaYjUlarRb5+fkwGAwJLZ1g8eQas1FoysM+ay1+r9mA4wcdk7CYeiN3/KHJe7XrWzDmgqKoffeB1asAADlTp0ftO/tCKFttl8uF1tZW1NbWwu12Y+XKlVCpVH6Z5khvsfcXnsYiRjSFe9PmjdDl5EYtqxzriwqZTAadTgedTidOKGUlXNIyH9a+UDopkOfuEZRJjg1BZ55jjjkGI0eORFZWFv7+97/jtttuww033IAhQ4bgxBNPFLtMHA6o1WpuJ+7xaCbidrvF7HBDQwNcLheamprEgSQzMxMmk0m87ZkoeBPJ72z6BD7Bh8m5RyFfG1lP71gSr0GftQST1hK3tbWJs9OzsrIwZMgQaDQarFy5EoWFhQnflwKZXjgJ+7bU4pfqNXyL5HGSDhdRnrx3YPXPAIC8acdwc5xpNBpkZ2dDEAR0dnZi0qRJYs/m1tbWkLbaPVkjRxtehVV/2fTic/j5/27D0PMvwpx//Scq35mIzLtSqQxymGS18aznt91uhyAIKC8vR0ZGRkLMcnqCMsmxodv0jM/nQ2FhId5//30IgoAXXngB119/Pc4880x89NFHXN92CBe1Wk2Z5G5gt72lWeKOjg7RbMFgMECr1WLs2LHcHZSJXndSfIIPb21cDAC4YMQZAB9hBRGL9cXuNEhFcWdnp1h6M2jQIJhMpiCh4vV6ox5LNBAEAdMKJ+L9LZ9h9f61iQ6nR3QZSTAXamHZ1466Ta3weX2QK/o/XrsdDjRt2gAAyJl2NOzg86SsUCiQkpKClJSui4XA9mHl5eVoa2uDVqv169kcC1ttXsYiKdESolkTJ0MQBOx8720MX7AQeUfP4Ca2/iBtX5ibmwuga1z68ccfYTQaYbVaUV1dDbfbLfZaZ49ElfmQSI4NIUWyVquF0+kEAKxevRq//PILVq5ciSlTpuDMM88EcHhsCJVKxW0mOd5tzFwul58gttvtfnai2dnZMBqNYmZv3759sFqtXO4HPMW0oupXVFtqYNIYMH/wHFSU70l0SEFE66KC3WmQ7kMKhUKcTV5QUNAnS3AexcXRhZMAAGtqNsLlcUGj5Lf8LHdCKiz72uF2eNC824GMYcZ+f2fD2t/g83hgyC+AsbAI9traKEQaPfrSPoy5vFosliBbbWnP5mhkCnkak4DoCdHsiZMxcuEfsO31/2D5rTfg/BW/QdHPuz88iORQKBQKyGQysQRMEARxUrHFYkF1dTW2bNki9mOXlvnEo1yM51KQgUzQlvN6vZDJZNi4cSNuvPFGfPjhhygrK8P111+Pc889FwDfxet94UitSWZZYmlfYtZX1mg0+lnydnfQ8ZStDYSn2N5Y32Xfeu7o05CsSuImrv4i7W3NaokDbZ2HDx/OzeSpaFGWVoIMXRqa2pqxoW4rphZMSHRI3ZI7PhXbP60BANSua4mKSBbrkacd3e/vSjSB1sjMVpvVpe7btw9utzuoZ3NfJ43yKPqiOQ5Nu+cBVHz5GVp2bsemF5/D+Otv6tf38bi+GNLYZDJZUCcW5uzJhPP+/fvR0dERlG3u6dzan9gOB13GG6JI7uzsxK+//or33nsPS5YsgUajgUKhwKpVq1BSUiJ+4HARyMCRU5MsdR+z2WxilthkMsFoNCI3NxdGo7FPV7s8CdFAeIrtmikLoVUnY+G487gd+MNZX93ZOrN69LKysqjVo/O6noCu2KYVTMQXO7/DL/vW8i2SpXXJ61tw1ILifn8nE8m50/mtx44Uqa12cXGxX11qa2ur2HM3OTnZTzQbDAau99nuiFbMSSmpOPqBR/DDtVdhzeMPYfCZ58CQXxDx9/EsknvTP4FlPgD8ss379+/Htm3b/O5YsKxzf7PNPK83Bu/xhULsk7x06VLMnz8fxx9/PB5//HGcffbZ4pu8Xi/kcjlkMtlhI5CBQzXJPO5ckQo9aR0oEzUulwt6vd5PEPf3SpYnIRoKXmKblD8Ok/LHAYA48WMg0Jutc18cECOFl3UVeJxcPfkSnD1yPo4pmpygiMJD2uHiwProTN6b9Y/ncOCXlSg8bg4AfrYRI5pjeai6VNbisrW1FQ0NDaKtdmDPZqng4fH8Eu2Yhl1wMba/9Trqfv0FP//fbZj3xnvcxBZNIoktKSkJ2dnZyM7umrQtvWMhzTbr9Xq/bHNf6+Op3CI2iC3gJk6ciHXr1mHcuHFBb+Jl9ma04dlMJJyaZEEQRDHDBLHdbodSqRQzfJFkicONj7cTJIPn2HiNy+l0oqamxm+SJutNHA1b58OJY4r4M4MJhTZVg5QSHVor21C3qRVejw8KZf8ualLKBiOlbLDfc0fSPhHo8MZK11jPZmarbTAYRNHs8Xi4O+6jLURlcjmOffJZfHb6ScifMatf38/bumJEa2Kc9I4Fo6OjQyxdq62txfbt2/3ex7LNPd2po3KL2CAqJ4Ohq9n82rVr0dnZKT7cbjc6Ozvhcrng8Xhgt9uRk5ODU089NWFBR4uBZibi9XqD+hJ3dnZCp9PBZDIhLy8PJpMpLnWgPAtRHmLb3rgLr6x7FwvGno3xuaPFuHhAauvMshk2m02cYJdoW2de1tPhQN6EVLRWtqGz3YuDO23IGmVOdEgxJd5ZSOnkZmar3dHRIYrmqqoqsRWd3W7v1VY7XsRiPaWPHIXLtuyGsh9uvWzc5lHsxbJ7RFJSEpKSkpCVlQXg0B1hNj7X1tbC6XSKiQsmnvV6vRgPzxn4gYx4Fty4cSOmT5+OpKQkeDweyOVyyOVyKBQKKBQKyOVyaDQaOBwOzJkzh0RyHPD5fKivrxcFjcPhgFKpFGuJ8/PzQ7oCxQMehGh38BDbO5s+xn/WvoMGRxPePvd58fl4x8VmYEtLJxwOB5KSkmAymZCRkQGv14ucnByxsT4vJHobBiKNZ0v9Dny76weMzBqG+UPnJDCqnskdn4qtH+0HANSubemXSF739JNQaXUoO+MsaDOzohTh4UdSUhJycnLEyVzr16+HRqNBUlJSkK22tLY5nj3BY3VsSQWy4PNB1kexy9sxLyWeLdbYnCHmMgp0lcBJu7Hs3LlTLPUxm81iSSyP8Lxde0MUyePHj8fOnTuh0WigVCr9BLJSqYRSqRSvVBLpfhVNeCq3YBOjpFliANi/f7/YPounW948CNHuSPT66fR24oMtnwMAFow9S3w+HusssHOJ1WoNsnU2m81+zpnNzc0xjWmgE2p/WrJnOR5e/gxOH34S1yI5b2Kq+P+atS0Yf9mgiL7H5/Vi3VN/g9tmRfbkKSSS+wBzeCsuLgZwyFabTQjcsWOHaKstFc2x6IAQGFesqPruW6y6907Mf/djmAeVhv05nnv9Jjo2jUaDrKwsv2wz248sFguam5vhcrmwcuVKv2zzQJ1Yygui2lWr1RgyZEjINzU1NWHdunU4/vjj4xZYPEiUSGazppkgttlscDgc4sQo1kJry5YtmDBhApe3nngXyYmMbWnFCjS1NSNTl445pTP94oo2bCKRtHuJNAuRl5eXsLsNkTIQBvTphRMBAL/sW8P1bc7c8SmQyWUQfAJq17VE/D3N27fCbbNCpdcjfdSYKEYYXXjcFoFjkdRWu6CgqwsEyxK2trZi//792Lp1K1QqlZ9ojqatdizXkyAI2PTv59FavhMr77wVp37waZ8+C/A5BvAWm7TUp7CwEE1NTdi5cyeGDh0Ki8WC+vp6lJeXA4CfaI6n06QUXtZbX/FLCTudTmzbtg2VlZXo6OgQewivXr0ar776Kp566inI5XJcf/31XA5GfYWVW8T6t7BabukEO4/HA4PBIO7gRqPRL0vM1j0J0b6T6Nje2fQJAOC80adDpfC/hdqfuMK1de7rrOhEr6/u4DEmxvjc0dAo1Ghqa0ZFSxXK0kp6/1AC0OhVyBhuROM2Kxq2WNDp9ECV3Pc7gWJ/5CnTIA/o3ED0Tm/HY2CWkN1ZlNpqezwevy4aKSkpEYudWG43mUyGmY/9A+8dPQHVS75F5bdfo2Te/D7FxaO24LleGujKLCsUCr/e3+yuRWtrK6xWq5/TpFQ0x7pTEYPH7dob4mjncDhw3XXX4c033xSLwVmphSAISE5OxpNPPolhw4YdNiKZ3XL2eDxRu7KSChlpLbFGoxGb0hcVFUGv1/eY3ZMW4/MIr8IKSGxsze0t+O+unwAAF4050++1vsYlnbzBRLHH4xE7l3Rn60zEBum20yg1mJg3Fqv2rcGqfWu4FclA1+S9xm1W+DwC6jZZUDg1vc/fUcf6I08NNhHh6TzA45gUybkylK12e3u7OCFw9+7dcDgc/bLVjuV2Sxk8BEddcwPWP/MkVt55CwqOmw1lGCYsPItk1m2Kx9iA0PuZ9K4FgzmjWiwWNDQ0YNeuXRAEQdQn7CEtyTuSEUVyS0sLvvrqK/zyyy+YOnWq35vWrVuH4447Dvv37xef4/Vqqi+wiRIulytioSHtFMD+9fl8Ypa4uLhYzBL3BbZ+eRz0Ab5FMpC49bZ465fo9HXiqJxRGJk11O+13gbXQFtnm80mTtRk9cS9XVxFAo/bktcTkZRphROxat8arN63FgvHnRfz5Xm9XnQ4neLfbW1tYQmw/Emp2PBmJYCuyXt9FcmCIODALz8DGBgmIgNh3+krrK5Zp9OFbavNHqHGi3gkuSbeegfKF78HW3UV1j/7d0y+7f/C/iyP25C3MTKQcPskq9VqZGRkICMjA4B/jbzVahUvwJhpjrS2+XDQfX1FFMkymQwdHR2YOnWqaE0tCAIUCgU8Ho94VdHZ2RnXWbixhAnjcOuSpVa8TBC3tbUhKSkJRqMRqampKC4ujsrORJnkyElkbEq5EjmGLL8Je4zAbdre3u6XJXY6nWI7v9zc3MPS1rkv8Lp/MaYXTgLwAlbtWxOT75dmfFgP9IPNbvH18vJy1KsrYDabkZqaipSUFJhMpiBRJJ28V7u273XJ1r0VaG9sgFytRub4iZH/oCOUWAnSULbadrtdzDb3ZKsdD5Gs1utxzIOP4bs/XIJ1T/0Nwy5YAGNhcY+f4Tlby9YZj7EBke9noWrk2VwXi8WCpqYm7N69Gz6fT0zYMOHc1+TfQEQUyWazGVdffTWAYPOQ4cOH49577wWAw0YgA4d+S3ciubOz06/jhM1mE7PEJpMJJSUlMJlMMbktwXb23gxFEgXvIjlR/HHiAlw+/gJ4fP52516vV+xYsmnTJnFfYqUTgwcPjpqtc1/heVvyzOT8cZDL5Ghpb0VLeytStSm9f6gbWKs+JogtFgva29vFi6b8/HyYzWYIKyqwD7sAdHUkSh+fLNatMlHE6laZKMoaZYZSI4fH5UPt2r53MmnZuR0yhQLZEyYF3TLnbb/hLR4gfjFJJ+yy5TJbbYvFItpqJyUlITk5WTy/xbL7QdmZ52Dr6/9B7crl2P3xYky46S9hfY5HIcp7iWk0zUQCTXMEQUBbW5u4L+3Zs0dsJSrNNhuNxm5j4Hnd9YSfmcgTTzyBtrY2eDwe8eH1euH1enHBBRcA6Mpu7Ny5E2PG8DvDOVykmWSv14uamhqoVCpRELMssclkQnp6OgYNGhT3AnceB32ga0DmNbZEiz6FXAFPpweNLY2i6GHdSwAgNTU1rvvSQIS3ATVUPAaNHquv/gplaSVQyvs2GS7wpMNa9RkMBpjNZpSWlobVO1dqZMFEERPNbJKOXq+HaYgGzVucaN7jQHuLC9rU8C/sB80/DVdWNcB5sLFPvzFR8LbvAImJKZSttsfjEZ0BbTYbfvvtNwAQRQ67sIpWm1eZTIZjn3gatuoqFM+d1+v7ea5J5l0kx9KWWiaTQa/XQ6/Xi+U+Ho9HvKBvbm5GRUUFvF5vUG3zQM82i0eCy+XCtGnTkJSUBK/XC0EQxB22s7MTGo0Gv/32G+rq6nDFFVdg7dq1CQs6GrS0tGD16tUAgPPPPx8VFRUYPHgwnnnmGW4mRZEQjYx4xyYIAlqtrfhu508YoRuMNrvDz9aZ9bhWKBT4+eefkZeXx1VLNl63JY8xBTIsY3Dvb0LXCcxms/mV10gny0SjVZ9UFDFjGNZarGrUFjRv6apn/va1ZSibk42UlBSkpqaGNdlLrddDrdd3u1yie3jaj5VKJdLT0+H1etHe3o5p06aJk4NbW1tRW1sbZKttNpv7VfaVOmw4UocND+u9PAtRnmMD4m9LrVQqkZaWhrS0NHH5rIRQeudCo9HAbDZj2LBhA3IyoCiSlUol5s6dC7VaLZqISM1EmM94SkoKrr322kTFGzEtLS1YvHgxVq9ejV9//RW7du1CaWkp5HI5ZsyYgSeffBITJkzgqlMAr+IFOLJjY1fQ0gl2vzVvxMPbnsPQlFJ8e+E7IW2dWVkPj+uNx5h4oy/rSJplsVgssNvt4qSq1NRUlJSUxOVOAmstNvpEJ3a911VqobWmQqvVor6+Hjt37vTrpJCSktLjLVPe4VXI8BaTtL5W2msXgFj209raiurqamzZsgVqtVrMNPfHVru9qRGNG9aj+MSTeoyLR3iODUh8fNLJpewinY2Dra2tA7ZUVzyLKxQKPProo92+kblyGY1GXH755X1e0AsvvIAXXngBVVVVAICRI0finnvuwbx5XbdgZs2aheXLl/t95uqrr8aLL74o/r1v3z4sWrQIP/30E/R6PRYuXIhHH300rFtDdrsdH374IaZOnYonn3wSU6dORWpqKsxmMy6++GKMGjWqz78p1shkMqpJjoBoxhaOrXNZWRn+/e0HAIAThs4Sr6xDxUWEx0BZV16fFzd+cw9WVf2Od099HnIXYLFYxNnhzBgo0ZMw8ycd2idbt3dg8OCuDDjLcEv78Xq9XlEQOX5dhd2v/wdDz78IY6+6JiGxD3R4HCd7iikpKQnZ2dnIzs4GcGg+RWtrK5qbm7Fnzx5xEpc029xbgql1z24snn0MfJ5OXPz7Zujz8kPGxeuxH+9MbV/hcd2xbHNKSgpXd0/7QpC6dDgcopGIx+OB2+1GU1MTFixYgI8//hhutxuTJ0/u88bIz8/HY489hsGDB0MQBLzxxhs4/fTTsWHDBowcORIAcOWVV+KBBx4QP6PVasX/e71ezJ8/H9nZ2fjll19QV1eHSy+9FCqVCo888kivyy8qKsIPP/zg95wgCKKhCI8cKUI0FkQam9TWmd0a7+zsFC1ji4uLgyZrHmxrxn93h+6NLIXXOnNetyWPMQHBE6KW7VqFfW21+HbzUswfOiek9XeiSS3VI8msQoelEzVrWsQTqlwuF0VOSUmJWCvNRPOOb75Cy/q1QEER1DOOEzOJPP22gQBv4gUIPyaFQoHU1FSkpnZ1SZHuIxaLBTt37hQnmUp7NgfaaptLy5A2fATqfluNVXffibmvvhW0LB6FHiOWNb/RwOfzcS3iByp+InnlypW46667sG/fPj8nOp/Ph/r6epx++unw+XzYt29fn3eWU0891e/vhx9+GC+88AJ+/fVXUSRrtVrx6jWQJUuWYPv27Vi6dCmysrJw1FFH4cEHH8Ttt9+O++67L+IyCZVKJbrb8Qav4gU4fGLrzdY5Pz+/11rRj7Z9BY/PE7I3cih4XW9EaHw+HwRBQF1dndgCkjlmms1mHF00Gfu2f4qDSVYMGTIk0eGGRCaTIW9CKip+aICjoQO2GidMBdqQ72MTdAoKCrC1uqu/cslxs+Hz+cRZ7VqtFqmpqfD5fOIcFh4EBC9xSOHxeO/PegrcR4CuCf1MNNfU1GDbtm2irTYTzUajEcf+7Rl8MGsqdn+6GKP+cBXyjp4RtbhiDc+xAfzHN1DxE8nXX389hg0bhssuuwxJSUliTbLL5cJll12Gf/7zn1G5Zej1erF48WK0tbVh2rRp4vPvvPMO3n77bWRnZ+PUU0/F3XffLWaTV69ejdGjR4u2nQAwd+5cLFq0CNu2bcO4ceMiikWpVHKbSaaJe5HRXWzSDCATxe3t7dBqtTAajcjOzsbQoUODMiC9wWyoQ/VGDoyLR3jclolcV8wSWLqfAIDVakVqaioKCgr86nZntx+D97Z/ilXVsemXHC3yJqah4ocGAEDtupaQIlmKs6UZLTu2AQBGzT8Vyeld5gPMxKK1tRX19fVwOp1YtmyZX11zLNuKDUR4WxfRFlRqtdrPVtvn84l341pbW1FVVYXOzs6uHvCnn43aTxdj+e0344Llv0IuSUDwLPR4jg3gP76Bip9ILi8vx6effoqSEn+L1c7OTlx88cWYN29evya2bdmyBdOmTRNn/n/66acYMWIEAOCiiy5CUVERcnNzsXnzZtx+++0oLy/HJ590CZD6+no/gQxA/Lu+vj7imNRqNbcieSDUJPN4YLJ4vF4v7Ha7X6bY6/WKfa5LS0v73cFkS/0ObK7fDrVChXNGnhJWXLwJUl6J13qSNs5nk+xYFiw9PR1lZWVYs2YNhg0b5lcCxphWOAkAsLl+O+wuBwya0F0gEk3+pEOmIjVrmzHijOCaUCn1v3Z1/0kZMlQUyIC/iUVSUhIOHjyIkpIStLa2oqmpCbt27YJMJvOb6BXK5ORIgccxMtbHllwuF7c9K+NhnQ/UV1yN+iXfomXbFnx+950oveBisUyD55IGHrejFJ7LLQbyOU8JHNr4Wq0WHo8n6E0ymQxTpkxBe3t7vwTF0KFDsXHjRlitVnz00UdYuHAhli9fjhEjRuCqq64S3zd69Gjk5ORg9uzZqKioQGlpacTL7AmZTEY1yREiFXy8DBzMoezgwYPweDxYsWKFaOtsNptRVFQUdWvNJXu6JpvOGzI7bDMJ3rYpz/tZLAg07Whra4NWqxVbsbHentL9uqd9PN+Ug0JzPvZZavB7zQbMLp3R7XsTSd4EifPemt6d92pX/8+KelrPVtQymcyvZlXq/MY6JHR2doq33tmE6VjMdudpPOKdeK6nwM4Hirvvx8o7bkHTe29hyFnnoa6uDjt27BDHooqKLifJUF2CEgXv+xbv8Q1UlMChg4V1sPB6vejs7ITP5xPr8VhP4f6gVqtRVlYGAJgwYQLWrFmDZ555Bi+99FLQe6dMmQIA2LNnD0pLS5GdnY3ff//d7z0NDV23DrurYw4HqkmOjERnRdnkEWmWmNk6s76vU6ZMiXlHgZuPvhqzS2dAKe89S5boddYdPA6s0YpJup+wTLHb7RYnYvalH3pP2216wUTss9Rg9b613IpkQ04yjHnJsNU6cWB9C3w+AXJ59+u5bvUqAEDutKP7tBxpTX9xcbGYRRQnA+7Ygfb2drEXL3sMdNOB7uBRvCQ6plFXXIXtb72O3OnHoGxwGTSmrixyTU0Ndu3aBbvdLjpISns2J3I/4b27Bc+ZZIDP80w4+F2iCYKAjRs3YsmSJaitrUVnZyc8Hg8EQUBTUxPefPNN0fIyGvh8PrhcrpCvbdy4EQCQk5MDAJg2bRoefvhhNDY2il7133//PYxGo1iyEQkqlSpk9pwHeK9JBuIn+KR1oswmXGrrPGTIEBiNRqhUKrS3t6OpqSnkrfFoI5PJcFTOyD69n0d43M8iiYllMaWZYtauirVjMxqNUc9OTS+ahA11W2BOjt74GAvyJ6Vhe20NXHYPmnfZkTHMGPJ9giDAVDII9pr9yOlBJIezjaRZRObW5XK5RNFcWVmJTZs2ITk52U80h2NyEkk8ROJFskKlwnk/roJCcnEql8uh0+mgUqlw1FFHie032YRAtp8kJSX5ieZ4OZfyXAoC8C/iByp+Z4oPP/wQf/jDH2A2mzF48GCo1WoolUqo1Wo4nc5+ick777wT8+bNQ2FhIex2O959910sW7YM3333HSoqKvDuu+/i5JNPRlpaGjZv3oybbroJM2fOFO2vTzzxRIwYMQKXXHIJnnjiCdTX1+Ouu+7Ctdde2692RGq1mjLJERBrkRyqN7FarYbJZOrVjCFe683j8/TZjpjHbcrzwN8bHo9HvHhiF1AKhUIssSkuLo7LSfTSo87FwnHnxXQZ0SBvYiq2f1YDAKhZ09ytSJbJZDjx5TfCElOR7D8ajcavF6/H4xFF84EDB7Bjxw4olcqgyYDhbEfe9udEC9JQ8DAGSQUyi0e6rmQyGZKTk5GcnBxkq22xWNDY2Ihdu3YB8LfVNplMR2QpD+/xDVSUwKE0/eOPP45rrrkGTzzxRNQX1NjYiEsvvRR1dXUwmUwYM2YMvvvuO5xwwgnYv38/li5diqeffhptbW0oKCjA2Wefjbvuukv8vEKhwFdffYVFixZh2rRp0Ol0WLhwoV9f5UjgvSaZ54l7QHQGW5/P51c6YbFY4HK5/GydWd/ZcAaBeNRL21x2jH/+BMwpnYm/z7sPOnX4WWseTlCB8BZTd9uNdVZg+4nD4RBtT7OysiLqTtKfeMJ9nRf86pLXtmDcJSU9vDt+v0upVCIjIwMZGV0TBFl3BKmBhSAIQZMBealX7Qneji0GL/ts847tWHnnLRhz1TUwTJraY1zMVjs9PR1A17p1OBx+F1hOp1Nsz8gyztEou+NdhPKe6R6o+I0wbW1tOProvtWfhcsrr7zS7WsFBQVBbnuhKCoqwjfffBPNsCiTHCH9EcmhbJ0BRO2WeDxE8lc7v0dTWzPW1m6CVpXc59h4gseYgK5Bn/UlZsKYmRaYzWYUFhbCZDJxVcvq8XlgczmQmmxOdCghyR2fApkMEISuDhfd0d7UiOT0jITtG9LuCECwGKqpqYHL5YLRaPTLNvM+XvICT4Jv1+L3ULP8J9iqq3DCl0v6FJdMJoPBYIDBYAjbVttsNkdkvc7TOgsFz+UWMpmM63XXE34T9xYsWICVK1diwoQJyMnJEQ1FBEGA1+uFXq8fsD+0O3iuST4cRHI4ts6DBw+OqP6wt9hiyYdbvwAAnDfq1D4P6jxuUx5iYkLIYrHA4/Fgy5Yt8Hg8Yt15WVlZzG6lRoO3N36EW7+9H6cMOwH/OfMfiQ4nJEkmNdKHGtG004aGzVZ4XF4oNf6TTgVBwLvTxgMAzv7vT0gpG5yIUP0IFEPSetWWlhbs3r0bDocDKpUKKpUKBw4ciFoGsb/wcGwFwpPgm3Dz7dj5/juwVVVi1+v/gfK4E/v1fb3ZaldUVMDr9YolWUw49zZ5l6d1Fgre4xuo+KXqysrKcNNNN2HZsmU4+uijodFoRKHc1NSERx99VLxaO1zgubvFQJy4xyZOSUVxZ2en2Js4lK1zvGKLFvX2Riyv7Or2cu7o0/r8ed62aaKEO5uMKc0UA113FGQyGUpKSpCTk8NNf93e1lG2IQtOTwfWH9gSp4giI29iKpp22uDt9KF+swX5k9L8Xrfvr0ZH80HIVSoYC/gc70PVq7rdbmzfvh0Oh0PMIGo0Gr9Mc6ISPSReuket12P6vQ/h+z9dge0v/BPDx06I6vd3Z6vNss2hbLXNZnNQ4oZ3Ecp7fAMVvz7JX3zxheiUtHLlStFxLykpCa2trWhvb090vFGHapIjRyaTwe12+9UTR2LrHIu4gNiJ0Y+3fQ2f4MPk/HEoSembiOB1EIuHSJZagLNJdsy0Iy0tDaWlpaKIWbVqFfR6PTcCORzG54wCAFS0VMHSYYM5KfSkuESTNzEVG9+uAtBVlxwokhvXrwMApI0cDUUvF7M8XfCp1WrodDoolUqMGjVKLOtqbW1FQ0MDysvLIZPJ/ESzyWSK+S1qHsULbzENOfcCbH7lJTSs+Q11b70KnNr35EO4yGSHbLVZtxWpi2RtbS22b98OhULh10XD6/Vytc4C4bkFHE/jRF9RAhBX7Pvvv5/QYBKBWq2mcoswYf1OmdARBAHr1q2DVquFyWSK2NY52sRaJB8qtej7QM7bNgViJ9xdLpc4E52V2SQnJ8NsNiM3NxfDhw/n4nZ4tEjVpqA4pQBVrfux4cAWHDcoNvM7+kv+RInz3ppmTFnkX07R8D+RnDUuuhm9eKNUKpGWloa0tK6LgECTk6qqKng8HphMJj/hPBAmA/YX3kSyTC7HjIefwEcnHovmpd+hcdMGZI4dF7flS10kga59xWazie3nqqqq4Ha7oVKpsHPnTlE4x/KOaF/hbZseLgSNBszKt66uDna7HVqtFpmZmcjISNwkjljCc7lFogVVb7bOcrkcY8eOFSfX8EYs1t2ugxXYWLcVSrkSZ46YF9F38CaSgf7HJLWdZZnijo6OiMtseBtrwo1nfM4YVLXux3qORXLWaDMUajm8bh9q1wY77zVuWAsAyBwfnkjmbVt1RyiTk7a2NlE0b9++HU6nM2gyYH+FEI/ihccxKHvSFOSffCpqvvkSm196HnP+9Z+ExSKXy8WyC6Brfe3atQstLS3wer3Ys2cPHA6H6NQp7dmcqG1N3S1iQ5BIXrx4MR566CGUl5dDLpdDqVRi2rRpeOCBBzB9+vRExBhT1Go1t+UWcrk8ruUW0vZaVqsVdrsdKpWqW1vnAwcOcJl1iWUm2Zxkwv8dewOa2luQrkvr/QMB8DiIRRKTz+cTJ9mxfcbr9cJoNMJsNmPo0KH9btHF44m8N8bnjsYn27/G+gObEx1Ktyg1CmSPNaN2TQsO7rKjw+pGkqlr0pLg86Fx0wYAQOa4iYkMMyL6Ikilt90LCgoAQJwM2NraioqKCjFRJBXNfb1TxuN+zKNwB4CRN90GeVEJjrv/4USH4odMJoNKpYJWq8XIkV3mUZ2dneL4V19fL5bzSCcDxrNNIc/dLQYyfjXJb7/9Nv7yl7/g7LPPxjvvvAOTyYSGhgbcc889uPLKK/HOO++ITjg8HmCRcKRmkgNtnVnmT6fTwWQyIS8vDyaTqcfb4YnOdHdHLEVypj4dt828LuLP87rOeouJzRCXXkSxbIvJZAq6gDpSGZ87GgCwoY7zyXsTUlG7piuLXLuuFaXHZwEAWnfvQqfdDqVWi9ShwxIZYkJISkpCTk6O6PTKhBCrVd22bRtUKpWfaDYajQOyjzaPMSVn5yDnzHOh4LCDTaDuUalUQb29mdtna2sr9u/fD5fLFbJnczzi44kB3wLO5/NBoVBg8eLFOO200/Dcc88B6FrpxcXF+PzzzzFhwgSsW7cORx11FLxeL5cZxEg4UlrAMWcy6QQ7QRDE9lpDhw4VbZ0TEV80ibdldl/hLa5Qg5fb7fYTxXa7Xew1mpmZGfW2feHElGjC2W5jc0bi5CGzMT53NLw+LxRyPice5k9Mxe//+3/t2mZRJCuTkzHu+pvhdbsgH4BjfLSFQqAQkrYTO3jwoJ/JSWpqqjgZUDrhlLfjHeBXUEnj8rrdaN6xLa61yT3R2zqTlvMUFRUBAJxOpyiaKysrYbfbRfMjJpqjlVygcovY4NcnmbVAYUhXeH5+PkwmU9eHBuDg2R1qtVo0s+CN/ojQnmydWScBnU7Xr4OTV5EMxEZkvb7+A5iSjDhp8HFIVkVmYMHjOhMEAZ2dnairqxOFMWuJxDqUmM3muJt28LaewkGv1uG9819MdBi9kifpaCGtSzYWFuHoBx5JREgDglDtxKSTAfft2we32+03GZBHQcpjTMChuGz7qvH5WfPhbGrCJeu3ITktPdGhRbTOWJtCdmdC2nGlqakJu3fvhiAI4v7C6psj6QVP5RaxwU8kX3jhhXjppZfw+eefY968ebBarUhKSsKTTz4JvV6PrKws1NfXw2KxIDc3F0Yjny2O+gLPmeRw+yQzW2fprXC32y3aOsfKmYxHwceIdmyd3k7c/+Pf0eJsxccXvYo5pTMijivRSPuEWiwWNDc3w+v1wu12w2w2o7S0NOKBmhgYpA02QGNUwWXrRO264Ml74cLr8R8vZDIZjEYjjEYjioqKIAgCnE6nKJrLy8vhdruxadMmpKeni8I5Vrfcw4XX7caEqD4vHyqtDlbbHvz+2EM49m9PJzq0qFxYBHZckTpJWiwW0VZbr9f7tZ8LpwsQzxc+vO5v4eCXEnY6ndiyZQvOP/98DB06FHl5eSgvL0dlZSUmT56Mf/zjH2hvb0dDQwMeeOABnHZa7HoZxgvebalDTdwLZevMBmuTySRewMQ648+72Uk0Y/uhYiVanK3I0KVhVsm0fn1XvNcZa2ckvYhipTZmsxkKhQJerxejRo2Ka1w9weNgHy6CIKDGVoca6wFMK+Rz8ptcLkPu+BRULmuErdYJW207dBlK1K5agcxxE5BkDr9jDU/bKtFCQSaTQavVQqvVIi8vDwDwww8/oKCgAC6XC1VVVUEmJ6mpqTEtXeopVt5g20+uUOCYhx/HZ6edhK2vvYzRf7gaqcOGcxFbNOnJVttisWDfvn3YunWrWOrGRHMoW22e+yQPZPxUlMvlwlFHHSXaOcpkMpSVlUGtVos7iFarhd1uR1ZWVkICjjY8d7eQyWTwer1iXRMTOG1tbUhKSopbfWhP8fEqkoHoilHWG/mckadAKY/84iMe24hdRLGB1m63Q6FQiHWTJSUl0Ov14oBaXV0Nh8MR87j6Ck/7Vl+228b6bZj1nzORmpyCvbf8xqUYAYD8iWmoXNYIAKhd14K0wkZ8cdYp0KSk4o8VtdzGPRBJT08X77x6PB6xTrW+vh47d+4UjSukkwFjKXgSfTHRHdJjPn/GLJScfCoqv/kSq+65E6d++FniAkP8RGh3ttoWiwUtLS3Yu3dvSFttXrfpQMev3OKSSy7BJZdcktCA4o1SqeRKJEttnZuamtDR0YH6+nqx32xJSUnMbZ3DhWeRHM3Y7C4Hvin/AUBkNtRSYrHOXC6Xnyh2OBziRVROTk5Yph28bseByIiMwVDJVWhxtqLaUoPilIJEhxSSvElSU5EWeA92mYhkHjVuwJ5sB8J+rFQqkZ6ejvT0rjpbqXFFa2urKIKYAGIiKJp3BnkVVIFxHf3Ao6j+/r+o/v6/2Pfj9yg8/oSExpaITG1vttrl5eVoa2uDTCZDZWUl2tvbQ9pqE5ERdNQJgoDW1lZs2LABzc3NyMrKQkFBAQoLC6FUKkVrxsMlrZ9oxz232+13K5xl/ZgQTkpKwujRo7m05z1SRPJXO7+H09OBstQSjM8Z3e/v609crOZR2p+Y1bCxXtZms7lPF1E8DqQ8xhTudtMoNRiVNQwb6rZg/YEt3IpkqfNe7boWyC3/MxHpg9Mer8c/T4TTFYHdSi8pKRFFUEtLCywWC2pra8VWYtE0OeH1GJPGZS4tw+grF2HTv57Fz/93Oy5YeVzCuq7wcmHRna32ihUroFKp/Gy1A3s2J0pHDPgWcMChHWDFihW47rrrsGPHDrEedvz48bjjjjtwzjnncCnW+kM8a5IDbZ2tViva29tFW+ecnBwMGzZMbFZfXV0timYe4V0kRwvRhnr0qf3+3r5+npl2SNuxeTwesffmkCFDotKwnsftyGNM4TI+dzQ21G3BugObcdbIk6PynYIgwO06NFa5XK5+nbiNeVoYcpJgr+vAgXUtUFv+Z0c9ns866nDh7WTc1/1YKoJYnap0MiBze2PdqKSTAcP97bwIvkBCxTXpL3di53tvQ5eTA5elFcnpGdzExgtqtRoymQzFxcUwGo1BttrV1dVwu92imySPttq8Ip5ZZTIZysvL8de//hVDhw7F8uXLcdttt0Gr1WLWrFm4//77odfrcdJJJx1WBeIqlSpm5RbM1llaT+zz+USBU1ZWBpPJ1G0XAZ5FKND9xEIeiNa66/R2os3dDgA4d1T/J6r2FpfX6w2aZCeTycT+mwUFBTAYDFG9cOJ14B/IjM8djVfWARv64bwnNSdgj4YGp/j65s2b0aDZK07+Sk1N7bMbXN7ENOz8shYd1k407WiBAn3LJAO0/4RDf9cRayWWm5sL4JA7KjOtYJO7pKLZYDB0u1xeBV+ouJLMKbhw5e/Q5+UnKKoueF1nDGl8oWy1pT2b2YVWcnKyn2hOpK02r/g57v30009QKpV47rnnkJqaCrlcjvb2dpx11ln48ssv8fnnn+Okk07iWrj1lWiKZFYbGsrWOSUlBcXFxX1qHD4QRDKv8UUrNpVChSWXf4D91gMoMOVGITL/zFJnZ2fQJDuVSgWz2Yz09HSUlpbGZeDibTsO9IF6fO4YAMDGum1hm4pIu5C0traKXWvYhMtBgwbB+9M+7McuAMCECROQMlqNlpYWHDhwADt27BDd4JixRW/7Tt7EVOz8shYA4PYUIy1fgD43LwprIDHw2Cs2FseWWq1GZmYmMjMzAfibnDQ2NmLXrl1+FsmBJie8He+M7oRoogUywL9I7slMRNp1hV1oSW21Gxoa/Gy12X4TT1ttXvH79VarFQqFQpxVmZSUBIvFIv6fmW7weoBFQqTdLaS2zizr19HRIfYmZuYrSUlJER9YPItQgP/4ohlbNAWyNDPY1tYmltvk5eWJph3xHIx5Hfh52rf+n73rDo+ruL5ne++r3iXLKu7G4ALGphpTQ0kCIeBAQotNAoRACj2UQAohCZgkEEoCyS+AHWoAYzA22GBwVZcly5LVtV2rsv33h5jx29VK2r4j4fN9+sDSavdq3rx5Z+7ce060Y1RhLINCJMeQZxjNpsOoyiwf9xpu17rNZoPD4YBQKIRWq0VGRkZ41RrO//L5/CDNVS5RIg89Pp9PCbNerx+XXeTWJXv9JchafMxk5DgSh2TfY9zmrrKyMnoKQUo02tvb4fF4KAEaGRmBWCxOakyxYCoiOmIawJe/fwwn3HI75JmpVdhi/QQ92g1iOFttotlstVrR2dmJ0dFRKhWabFttVhFEkvV6Pfx+P62TFYvFGBkZQVdXF1pbW7FmzRoAYHqiRItISXKorbPdbgcAqk2cnZ2d8F0Xn89ntpwBYJskJ0LD2TJiA5/Hh1Yam2lO6EbKZrPB5XLB4/EgIyMDpaWl0Gg0TDysWL2O0xUCvgD3nXE79DIdctRjD/NQaT6Hw0H1T7OyslBRURF1uUTQZ4YhSlwL5UOHDoHH4wWVZ2Qv0tLflxWegTlXR66PfByRIR0ZSK5FcnFxMe2HIQTIbrfDYrHAZDIFlWik2lUzHCYbq/d+cDU6P/4IvtFRrP79n1IYFduZZGLYEU98fD4/yBgHGNNsJnXNobbahDgnylabVQRJwJGj3T179mDlypXQaDT46KOP8O1vfxs6nQ7f//73AcwskjxRuQUR9CbHn06nExKJBBqNhh6Dx2vrPBVYJqEA+/HFG9tfd/8Dv/t0I+5YuR4/Xbl+ytdza0gJGfL7/fRhlZOTg7a2NuTm5lKbUhbA4sLPYkzRzqdrFl4Ou90OU2c/WmzNQQ+YnJwcVFdXJ/XUgM/nU/JTWlpK56fFYqFSY36/H4oCEYaOemDvEiJ3VXQSW6zd/ywTmXSCx+NBoVBAoVAgPz8ffr8fMpkMarUaVqsVbW1tOHDgAK1RJV+plhGbrGQAAE786S/Q+fFHqHvx71hw4wboZlekLDaW5xa5DxPNR6RSKXJycsbZattsNphMJrS0tCTMVptVBKU9TzzxRNx44410oBcsWIClS5fi4osvxne/+10mdpmJhkgkgsvlwieffIJPPvkERUVFKCwsDLJ1LioqSoqt81RgnYSyHF+8sQUCAbxW9xbcPg/y1eFLLcjpAjczSOT7tFotiouLg0w7gDHjDhbH7HhM8YNb42e1WuF0OmkpTX5+Pi2lSRe42UUiNeZ0OtG9aDdaj5rgcwfw5rPvo+BEI800p1M2aqaAxXkcCAQgEomCTCu8Xi/NNJMad6FQOK4ZMNlJsklr6E9eiZK156Ptf29h5/134byXXklqLFxMB5Kc7PimstXu6enB8PAwlSQlxDnVJYSJRBBJVqlUOP/88+m/L7zwwhlhPR0Km82GXbt2YefOnXjzzTfR0tKCb37zm5g7dy6+973vobq6Gmq1Ou0PB5ZJKMB2fPHGVtffhGbzYYgFIpxbcSaAYx3lZCfNPV2I9LicxYWCxZimA7gKA6S+XKFQUL1qtUaNL3oP4L3uHbipfB0kQrbkloglbn6lCK1jKofI9BUhO1sFi8WCo0ePwu1208bBiUwtWJo/rBIZFmMKhVAoHFejSsp1zGYzzRqGNgMm2uRkKhK+/N4HceT9/6HtnTfRvfMT5K44JWGfP1VsrF7HVJHkUISz1Xa5XOOUV2bPno2KitRl/ROJKWc3Of5gdXJEg02bNuHee+9FXV0dSktLcfLJJ+P0009HT08PGhsbmeviTERdbTLBOkmOB5vq3gYAnJq/DN1tnWj4StOakKCCgoKYMoOsjhlrMbG43rjdbvT29tJsMTdjUlJSAq1WG1RfHggEsO7VH8EyYsWpxcuxODd+I5pkwGffC2DsONVU48TKH81BYWFhUB2rxWKhphZqtZpmmlnumWAB6SIvUyESwsct1yG/E9rYReYDN9scT49FJHHpKypRfdU1qHv+GXx6z89x2ZbtKRlflkkyuQ9ZKIWVSCTIyspCVtaxXozpvE5MyQoTOegbN27Exo0bceTIEQDAnDlzcM8992Dt2rUAxuqAf/KTn+Df//43XC4X1qxZg6eeeooONgB0dHTgpptuwkcffQSlUol169bhkUceiYjgzp49Gw888ABWrFhB3/PTTz/Fyy+/nPascTiwSqgIWI4v2tjIA4AQoJf2vAYAWK5bBJFINKWmdTRgbcxYXfjTOU6BQID2JdhsNrjdbtTU1ESscQ6Mjeui3LnY2roDe7sPMkuS3f2fAbgAgBCdX1ro90PrWAEEkeaGhgYMDw9DJBKhsbERer1+3EbhONhELIQvNGvI1d61WCxobm6mpymkOZSoISTa5OSkn92F5lf+hb49X6Dlv6+h/OLLovpbYgHLJJnVzRgw1lDMAnmPFSlNnebn5+PXv/41ysvLEQgE8MILL+Ciiy7Cvn37MGfOHNx66614++238corr0Cj0WDDhg245JJL8OmnnwIYkzg677zzkJ2djZ07d6KnpwdXX301RCIRHn744Sk/f+7cuZg7d27Q95JpJhIvWDbrAKY3SSamHVwJPwDQaDTo8vWhd3QAcpEMN635PhRieULjYhGsXsdUIVRsnxBjYgUsEokwZ84c6PX6qd+Mg8U587C1dQf2ddckKfL4MXDwCwh5C+ENlMDU6MCowwOpOjz5J1qreXljWsoNDQ1wOBzw+XxoamrC0NAQHTNSopFKVy/WiAyr5CUR93s47V232x0kO1dTUwOJRBKUaZ5MuzvS66fIysYJt96Bob5e5J1yatx/SyRgbW5xweo8A6b/syWIJJPjNYVCkZQPu+CCC4L+/dBDD2Hjxo347LPPkJ+fj2effRYvv/wyTj/9dADAc889h6qqKnz22WdYtmwZ3n//fdTX1+ODDz5AVlYWFi5ciF/96le48847cd9998WUwYhVJzkVYJmEAuzHF860g5Bih8NBjV4MBkOQaccrW34NADin/PSEEmSAzTFjcWFNhXnK0NBQkGa11+ulmqA5OTlBTWu9vb0xnTYRU5E9cTjvJRPOnm4MdXdBJGiD11uCQADo3mtB6erINGiFQiEUCgXmzJkDYKwekWSaufbJpDyDFZmx40jOPSYWi8cdtYfT7g6tayaZxmiI6JKf3Jnw+CcDyzrJM6ksljUEkeT6+nqcf/75+PnPf46zzz4bGRkZSSPMPp8Pr7zyCoaGhrB8+XLs2bMHHo8HZ555Jn1NZWUlCgsLsWvXLixbtgy7du3CvHnzgsov1qxZg5tuugl1dXVYtGhR1HGwnklmjVBxwXJ8xLSDEGNiwUkIUFVV1YTHgBuWXYN8dTbmZVclLTbWMNNjCi2nsdls8Pl8VIkkLy9vymbdWOIhJRZNplY43UNQipOznsaK/n17AACavFGMtI99r2tP5CQ5FBKJJEgxgWQWLRYLlRmTy+VBBieJNCdgbR6zmuFLVVY0VA0h1OTkyJEj8Hq9VEJsdHQ05vng9/nAT2LZJOuZZFZjm+4IIsnZ2dlYvXo17r//ftx+++04++yz8c1vfhNLly6FwWCASqWK+wNramqwfPly6k63efNmVFdXY//+/VRYn4usrCz09vYCGMvmcAky+Tn5WSxgmSQfNxOJDOQEhKs8MTo6CpfLhYyMDBQXF0Oj0UR87JujysJNS7+XlFhZXMhYjCleEPcoLikmep5arRaFhYUpkbPKVmUiV5WF7sE+HOipw8lFJyX186JF/94vAYw57/USksypS44XoZlFIpNnsVjQ0dGB2tpaSCQSmmkmpDmeOcnSfGZhfQyHdJGqcCYnQ0ND40xOBgYGgko0Jlu7TXW12Hnvz5F1wolY+vN7khY7y0R0Kn3pdIPl2KZCEEk2GAx47rnnAIw12a1fvx4NDQ3wer04//zzsWrVKlRXV6OoqCjmBqaKigrs378fdrsdr776KtatW4ePP/44/r8kRojFYvh8Pvj9fuaa91ghoRMhXfGFEiC73Q6fz0ePyisqKtDR0YHMzExaO8kKWL2mrMUU7aLKzVCROcHj8ai4fTjN6lRhce58dDdtwd7uGuZIct9XmeTi1VU4+J4QbqcXXV8kjiSHItQK1+v1UtLc1dWFuro6iMXioExzqg0tkgHW4mflfufxeFAqlVAqlSgoKMC+ffugUCigUqlgtVrR2tqKwcFByOXyINLMldq0tTSjY+sW9Hy2E/O+f0PS7KpZJsnRWlKnA6yO3VSYsHEvOzsbubm5qKurw5YtW/Dqq6/il7/8JQoLC3HqqafizjvvjGnSiMVizJo1CwBwwgkn4IsvvsATTzyBb3/721R3lJtN7uvro0d32dnZ2L17d9D79fX10Z/FAlLH7Ha7mfMkZ5VQEaQqPp/PF9RgZ7fbaUaCaNKGZgU7Ozuj/xy/D9duuhWnl52Cb8+7CNIk6dqydk1ZXbwiabzkbpQEAgG0Wu24GvNEIJ73uX3lD3HbKTdibiZ7OqHn/P2f6N+/F7ryCuS+0owj2/th7xzGYO8IVNnJXw+FQiGMRiOMRiOAsetKmid7e3upNCfXSnuqxi+W8HUvt4gWgUAAYrE4yOWNe/pANlIikYgSZuOq05G5+AT0792DL377a6x67PGkxcbimAFsxzbdMSFJFgqFGB0dBQCcddZZOOuss9DQ0IBbbrkFTz75ZMwkORR+vx8ulwsnnHACRCIRtm7diksvvRQA0NTUhI6ODixfvhwAsHz5cjz00EPo7+9HZmYmAGDLli1Qq9Worq6O6fOPk+TYkSz1DbfbHUSKBwcHaSlORkYGysvLp8wuxTJ2n3Z8gf82/A8fH9mFK+Z/I86/InFxpQIsxsQFd6NEGi+FQiGdE7Nnz57SyCVexDpGi3LmTv2iNEGi0aJg1VijdN4SE45s7wcwVpdced7UpzCJnjcCgWBcDSs5gu/v70dzczPV7yXZZrVaHXTdj5OFyMDiOIXjFKGnD2QtsFqt1BpZfP7FwN49qH3ubyj5ztXImzc/4SfDLBNR1sstpjMmJMlKpRIejwcjIyP48MMP8fbbb2PXrl3Q6XR4/PGxnVq06f2f//znWLt2LQoLCzE4OIiXX34Z27Ztw3vvvQeNRoPvf//7uO2226DX66FWq3HzzTdj+fLlWLZsGQDg7LPPRnV1Na666io89thj6O3txV133YX169fHLDNEyka8Xm9Mv59MsG4mwufz4x43rh4tIUFEYYXY+Wo0mqg3MLGQ0dfq3gIAXFB5NsSC5Gi9sriQsRgTADidTrS0tMBms9GNkk6nQ3Z2NiorK+OuXT2OYOQvOSZv1/VFZCQ52eAaWpSVlcHv98PhcAS5wAGgr3G73UytmcczydEhkrgEAgE9VSC/M3jSSfjflncxsOsTfHzPz5G5/lbaDEicIuPV72ZZ3YL1cgsW51qkGEeSSRPUwMAABgcHcf7556OmpgaXXXYZnnvuOSxcuDDmD+vv78fVV1+Nnp4eaDQazJ8/H++99x7OOussAMDjjz8OPp+PSy+9NMhMhEAgEOCtt97CTTfdhOXLl0OhUGDdunV44IEHYo6Jm0lmDaxmHQliiS9Uestut1M9Wq1Wi7KyMmg0mrgXtGhj8/g8eL3hPQDApXPOi+uzpwKL1zTdMZEjVfI1ODiIoaEhGI1G5OXlUVOC6YrXG97F1tZP8N2Fl+Kk/OhVeJKB2r//Dfa2wyi/9JvIXLgYeRyS3BlF814qH4BEPoy4HAYCAQwODsJisYz7IkSKKzF2HGNI9/0+EWI1OVGr1Tj917/F/61aBvuObVh91/3g5+XDarVS/W6lUhlU1xztesLqxgJgO7bpjiCS7PP5sHHjRrzxxhv4/PPPceqpp+LKK6/ENddcQy+Az+cDj8eLadF59tlnJ/25VCrFk08+iSeffHLC1xQVFeGdd96J+rMnAiFjLCpcEKLH6g0QCRElmR9uPXEgEKBNdpFIb8WKaB4EH7ftgnXEhgyFAacksbmKxY1POuYW6T8gX06nE3K5nFp+d3V1IScnh5oUTHe80fAeXq17CwWaHGZIcvOr/0b3rk+hr65G5sLF0BTIocySwtk3iu49FmbXHS4IQVKr1SguLsa+ffsgk8kgk8mooYXX66W6vMQFLlVN2qxmkgE2YwJijytj/kKUX/JNHNr0CppffBZn/PmvtHGb6HcT2blQk5NIGkRZvh+Ol1skD0Ek2e1244477sAPfvAD/P73vx/nTgeAOQWIeMHj8SAUCpklyQC7N2c4wkfE47kZQdJQpdPpUFJSkhKVgWjJKCm1+EbVWgj5yTOiZPE6AsnPLLlcriBSTOxrifJE6HForJKOrGJx7ny8WvcW9jLivOf3+TBwcD8AIGvREgBjczP3BD2a3+nGiNUNy2EnDGXxy36mEjweDxKJBEVFRSgqKgqSGLNYLOjs7ITb7YZGo6E1zTqdDkJhcu551jbEBKw+U+Ile0t/eR9ylq7AnO99P+j7ofrdRFWF2yAqEAiCMs1qtTroOcXqmAHsl1tMZwStDDKZDGazGTKZDIFAIKgEwe/30xueNGsly2gk1WBVK5nrQsQieDwevF4v+vv7gzKCUqmUmnZUVlYmvaFqotgiHTeX14W3mrYAAC6Zc24ywwLA3vVMxrUZHR2lcmw2mw0jIyO0pKa0tBRarXZKGUnWxikeEFMRVkiytakRnqEhiJRKaMtn0+/nLxkjycBYXfJUJJm1axRKZEIlxoj9OCnJqK+vx+joKNRqdRBpjlXidCKwRq5YJnzxxKUtLYP2+pumfF2oqgq31t1qteLw4cPw+XxBzoAsZ2tZvp4Ae/M/GozbPv/1r3+lihNutxterxderxdCoRBDQ0Nwu91wu93w+/3429/+lo6YEwoejweRSMRsTTIAZjScyQOGEB+z2QyPxwOXy0Wl2LRabcxNlIlENCS5f8iMRbnz0WZpx7KCE5iJK5WIJ6bQeWGz2eByuSgpLi8vh1arTVq2LhWId5Gfn10NPo+PXmc/uh29yFXHJlmZKPTtGzMRyViwKMilLO9Ebl2yGfMvL5ryvabTA5DH40Eul0MulyM/Px8AMDIyQjPNjY2NGB4ehlqtDlLQiLVHgsV7HWA7rkTNJ5/Hg6HuTqiLSqZ8bbha96GhIVgsFlitVnR1dcHn8+HAgQMwGAwRmZykEiwT+OmOcU+tRx55BP39/ZDJZFCr1RAKhXTnXVVVBbVaDbFYPK0feKFgNZPMLbdIB4hpB1eOzePx0HrizMxMjIyMxNXMmSxEs2AUaHLxxndfwKjXBT4v+WUgrCHamLgOh+TL7XYHmbloNJq41ggWxyme+1AhlqMqoxx1/U3Y212TdpLcv3fMRISUWhDkncBRuEig8x7LIDXMpP6dnIJYLBYcOnQITqcTSqWSNgLGQo5YnM8sxpQokmyqrcH/vncF+AIBrvh0D/hRrkXcE4jCwkIAwHvvvYe8vDwMDw+jpaUFTqcTCoViXDNgOsb1eLlF8jBu5jzzzDP44x//iD//+c+YPXvsGK6vrw8333wzvvGNb+A73/lOyoNMNsRi8XGSjPEGDQ6HAzwej9qIFhQUQKVS0ax2V1cX1dJmDbFkbJNlHhIKFrM4k8UUqkhis9ng9XopKc7NzU1K8yWL4xQPFufOpyT5/Mqz0hpL/1dOe5mLg09O5HoJ9KVKWA470bPfBp/HD4Fo+jx8E0GypFJpkJmF2+2mGUXiAEfIESHOUqk0afEkAzM9LlVBIVxWK0YtZjT+30uovnJdAqIDsrKyIJfLARxrPrZarTh69Chqa2upTCX5UqlUKRlnVq/nTMA4kvzDH/4Qr732GmbPng2fz4dAIICsrCzayHfBBRdAqVTC5/PNmGyyUChkutwiWWTB4/GMa7ITiUTUoGHWrFmTulsly0wkEYiUJLeaj0AhliNblZmCqNgcs9DrGwgE4HQ6g2qKA4EAdTjMz88f19RyHFNjce48/GP/Kzhq70prHH6fD86esbrjrMXjy4vyluhhOeyEd9SH/jo7chbqUh0iUxCLxUFNXx6Ph2aajxw5goMHD0ImkwVZabOu4c0qqUpUXBKNBotvuR077/k5vnj0IVRcdjkEcZRGEJUp7ponFouRmZlJjc24JifE+IbH4wXVNWs0mqSUTh4vt0gexrFch8NBrZ65F7OlpQVerxc8Ho8qQswE8Hg8iMViJs1EyFgnilSFmnYMDQ1BLpdDo9FQLVqpVBrxzcZqfS1BJLHd++Fv8FbjFvz+3Ptx7QlXJD0mFheyQCAAn8+H9vZ2Oj8CgQCt0Qtn+51ssDZOiYjnsrnn4xvVa6GXaeMPKA7wBQJcU38Yzs6jUOYXjPt53ol61PynAwDQ+YV5WpHkVKxHIpEoiBx5vd4g9Yy6ujpIJBIqK0biYmlOs7puJ3Kc5v/gRux/6o8YPNqBuhefw/zrbowrLmDydYBrckKMbwYHB2kzYHt7OzweD11XiRxhIppEWS63YHWuRYpxTPfiiy/G7bffDgBYsGABvF4vmpubceutt+Liiy9OeNcvC2C1cQ+InYiSI3JuptjtdkOpVFKFgXhNO1gmyZHE5nAN4v1D2xBAAEvyFqQosvQvGlztavJF7H91Oh1KS0snPUFIFdI9TomGWsKOnBqPx4OqoDDsz/KXGOj/d31pwYnXTfw+LF6jVM9boVAYZJtMZDAtFgv6+voQCASwbdu2oEZAFu6vdH9+OCSSJAtlMpz4k5/h45/+GF/+7teouvJqiL4qlYglLiC6MePz+bRUsbi4mPZyENLc0NCA4eFhqFSqoBKNiUp3poqPxetJwHJsU2EcSX7yySdx3XXX4bLLLoNIJIJAIIDb7caaNWvw+OOPM9PNmUiw2rgHRE5Eya6Vmyn2+/30Js3JyaGNmKmOLR2IJAP/v6YP4fK5UW4oxbysqpTFleoxI7XmpHzC4XBQTVCj0Yjs7Gy0tLRg/vz5KY3rONhE9gIt+AIe/L4Auvdbp3z9dH4AJgNCoRAGgwEGgwE5OTnYuXMnFixYQEkz0eTllmekqnaVgFVSlei4qq++Bnv/9HsMdrSj5m8bsfjHP4k5LiC+uc7j8aBQKKBQKKiyCjndtVqtaGtrw4EDByCTyYJI81QmJ8DxcotkYhxjksvleOmll/CHP/wBzc3N8Pv9mD17NrKystIRX0owHUkyyVYQQkyID6kbTcUROeskeSq8Vj9mIHJJ9bkpW2BS8Tmhhi4OhwNisRharRZZWVmoqKgI0q622+3MLbCsxQMkJmv6Wt3beGHff3BO+Wr8cOk1CYgqerx37VXwuV046ef3wDhnvGGUWC6EsVKN/jo7+uvs8Lp8EErSL0EZCVhbjwjpI8fwAOipjdVqhclkwqFDh8Dj8YIaAZO9drM2TgSJjksgFuOkn92FrT+8Dn1fNavGgmQ5J0ql0nEmJyTT3N3djYaGBgiFwnHNgKFzg+Vyi+mOsGnFQCAAiUSCWbNmUV1k4pA1E8GqugUwdmRDjF24WWKn0wmJRAKNRhOW+KQCrJPkyTLJlhEbtrZ+AiA1BiJcJHrMiHsUtwFTIpFQQ5eqqqpJG4lYvY4sxhQvegf78XHbTqjEirSQ5IDfjyNb/geP04mlv7xvwtflLtShv84OvzeA/jo7chfrJ3wta2BtgxUaD5/Pp4SntLSUngISg5PW1lYEAoGg8gyNRpNwEsTaOAHJIXsV3/oO1IXFyDt5ZczvkSp78dDSHe6Gymw2o6WlhfaLkDmk1WqZPRmYCQhLkt9++2385je/wcGDB+H3+2E0GnHRRRfhtttuo8cEMwms1SQTcwa73Q6v14uamhq4XC5q41tQUECb7NIJVskVMPVi9lbjFnj9XszNrERlRnmKokrMmHk8nnGkWCaTQavVIi8vL+a6tuNIPuZnVwMADvbWR/27Pp8PoyMj9N9DQ0NRPxxth1vhcTohkEqh4zjthSJnkQ77XzoCAOjeZ51WJJklRHJ9uLWrxMiCkGZyDO/z+Sgp0uv1casksEqqkvE84QsEcRFkIHUkORTcDRWJgygPWa1WdHZ2wuVyQSwWQyQSoa+vLy7zm2SACBBMV4wjyZs3b8a1116LCy64AHfccQeUSiWamppw3333oaenBxs3boRWq01DqMlDusstyMTnZoqJaQePx0NeXh7y8vKYa5pkmSQDky+4/234HwDg4hRnkWNZLLh6nESVhGyYCgsL43Y5ZPE6TudFdTLMzaoEAHTYu2AdsUMn00z4WiIpRa69w+GAyXxsM9/U1IQ+yWHodDoYDIaIaltNNQcAAIbquZMaLHAVLXomqUtmbd6wSv6iAY/Hg1qthlqtpg1fxP3NYrHg6NGj8Hg80Gg0NNMcraMlq+OU7LhGzCb0frEbJedEt+6niySHgsfjQaVSQaVSobCwkCbUSBNgc3MzfT6QDZVWq2VekpBl0LvK7/eDz+fjD3/4A2666SY8/PDD9EWrVq3CypUrceaZZ+Lw4cNYvHgxszdZLEg1SSaNVFwnOwC0njgvL4+aM+zatQtqtZo5ggywSa4Iport2Ysfx9tNW3Bq8fIURhXZmLlcriCN4uHhYapKUlJSAq1Wy1SmIFlgaW4laq3TyTQo1Oajw9aJmr4GnFq8jP6Me7RK1gVSS56Tk4Pq6moEPj6MDjQDABYvXgzDIiksFgvMZjMOHTpEM096vR4Gg2GcisLAwf0AgIx5k6u5ZM/X0v+PpHnvOMIjEc/JUPc3opLAtUx2uVzQaDRBJRqTkWZWn9/JjMt+5DD+vfIk+L1eXLW3Hsqc3Ih/lzTGsTZmxGZdqVRCJpOhuroabrc7SHaupqYGEokkqK6ZBXWV6YJxd1FfXx912uNi1qxZ9OacaUh2TTIx7eA22YlEImg0GhgMBpSVlUGhUIStxSI1ySxiOpNknUyD7y68LIURHUNoXCMjI0HlEyMjI1CpVNBqtSgrK0uYluZEYPk6zkTMz6pCh60TB3rqMF9bGUSKhUIhbbCsrKwcnwEKea5xj+mJtJ/FYsHAwAAlzaQZzGAwwHRwLJOcMX/hpDFK1SIYZilhbnGi7+D0c96byeCqJBQUjOlcE2kxi8WC+vp6jI6OQqVSBVlpc9cQlu/3ZJE3dVEJjHPno+eznfjyt7/G6t/9MeLfZXVTQcBVtxCLxcjKyqJiC6SR22q1oq+vD01NTeDz+eNMTo43/oXHOJK8ePFivP3221i5ciVKSkowOjoKPp+Pp556CkajkdbGzCQkuibZ5XJRwmO32+F0OmnNaCSNVFyw6NBGwDK5Yjk2r9eL7u5uSo7cbjfVypw9ezY0Gs2MMeuJFSxev3jjIQ1ahdKxDNYHB7dhoXc2dDodMjIyMHv27Liab8mDj+igk8y0xWJBf38/Ghsb0bXnCwCALzMbTqdzUnmpnEU6mFuc8Lr8MDU5kDVXG/Z1LJEH1shMquKRy+WQy+XIy8sDMCYtRsozmpqaMDQ0REmzTqdjbpwIkillxuPxsOyu+7H5/LNQ/+LfsejmW6ApLo3od1kdL4JAIDBhjTpXkhBAUKOozWajNe/kJIJ8JeoZxNo6Hi3oKJBdxC9/+Ut861vfwoUXXoizzjoLCoUCzc3NeP/993HPPfegoqICAFsLY7yIx3GPZNe59cRkF09ExDUaTcw1oyySBYLpmOXuGezDd19Zj0uqz8MPl34v6fOYKyBvs9lgNpup3TvZNCXLqjRSsDzHpjP8fn9Qkw2R2iuS5UErUSMvKw+nnHJK0uYgt+mnrKwMLocDluIS2A41YVitwc6dOyESiWi2Ua/XB5H0nIU61L5yFMBY895EJPk42INUKkVubi5yc8c2ZKSEy2KxoKWlBX6/H3v37qW17Cw1+yZzTc47eSUKTj8TRz/8ALsffQhnbXw2ot+bDiQ50vi4jaLkd4eGhug6VV9fj5GREajV6iDSPBM9MiLBuK3CnDlzsG3bNjz11FPYsmULXC4X8vPzsWnTJpxxxhnpiDHpiCaTTB583Eyxz+eDWq2GVqtFRUVFQjOBLBMY1mMLh//W/w9fdh2AgCfA+mWJl+DiNmGSL7JLJ7XEw8PDWLhwYcI/+zjSi9DOc5vNBh6PB61WS8uqlEolTsEpuOHM5G/QQiFRq3HFtl3w+3zgCwTw+Xyw2WywWCzo7u5GfX09tVPW6/UwVB1zJ+vZb8Wiq0pSGm8sYI3MsBKPRCIJ0uN99913UVxcjKGhIWpiIZfLgwxOZDJZyuNMxXgtu+t+HP3wAzT/51844ZafQl9RyURc8SCeDDy35p2U74yOjtJ1rLW1FYODg5DL5UGkOdWSs+lCWCaXkZGBe++9F/fee2/Q97u6uqDVamecXvJkmWRuhzmpKyY7sVSYdrBORKdbbJvq3wGQOG3k0E2TzWZDIBCg86OwsDBofnR1dWGEI+PFCli7jtNh8eVuiAgp5mqYTmTvzQstLE4x+F+dWggEgqBjWJ/PR7ONnZ2dMA0da9g78nkfRkZGxhEn1snDcUwMo9GIwsIxa3KPx0NJUUdHB2prayGVSoMMTlKhkJCK+ZS16ASUnn8RDr/1Oj5/5AGsff7liOJiuWY30fFJpVLk5OQgJycHwDHZUbI21NXVQSQSBZFmosYVium+PkyZ7hwcHITJZMLu3buxceNG3HfffVi9evWMWhy5meTu7m4IBAKqPjE4OEg7zDMyMlBeXh6RTWSiwOfzj9ckx4BwsR21d2N35z7wwMNFVefE9L6knovbbEWyhVqtFsXFxVAqlRMuWCyOGav3MUvjRK4byRSTDRGxftfpdFNe+3DwB/zg81Lz8A34/eBNEptAIIDRaITRaAQAeJd40ZD/NgY7RzFQO4iPt30MuUIeVJ4BsDt/WADLz0luXCKRCJmZmcjMzARwzKCIS4rEYnFQpjkZz8FUjdfSX9yL9i3vQm7MmPK+ANi3fU52fCKRKMjkhCQPiWsk1+SEa4BDyghZHrupEJYk+3w+DA8PY//+/Xj99dfx5ptvwmaz4ZRTTqE1TtP5jyYIBAI4cuQIWlpacPjwYbz++uvo7OzEM888g3nz5iE/Px8ajSYtx04ELJIqApZjA8aTrP/Wj2kjryhcghxVZDbrRK6PW14jEAjGHaFHcz+wOGYsxpRucOvJR0dHUV9fT08JdDrduFOCaPDCvv/gNzuexPkVZ+HXa+5KQvTj8e+VJyHg9+Psvz4P47z5U75eKBQi/wQDGjq74BsNYGHRUggyvDCbzThy5AgOHjwIoVAImUwGtVoNvV6f9rpF1kgpi/dVJJq/QqEwaMPELc3p7e1FY2MjhEJhEGmOV1YslVrEhqpqfK/+MGR6Q0SvZ21ehSLVmW6BQBC0USYGONzTCLfbTR2By8tTZ9iVaIwjyT09Pdi8eTP+9a9/4eDBg5g3bx5uv/12XHXVVcwU9seD+vp6bNu2DTt27MCOHTvQ19cHo9EItVqNO++8E6tXr6ZHDCyAZSI63WIjpRYXzzlvwt/jltcQuT4iy5WIkwQWx4zFxT8dMRFhfm5NsdfrpfJI+fn5KCwsTMjDSMgX4Ki9GzV9DQmIfGp4R0ZgaaxHwO+H9CviEwlyFurQ8HoXAKC/xoH53y6i2SSPx4MDBw7A7Xbj8OHDOHDgABQKBW0G0+v1Xws976nA2v0Vy/oTWpoTqpzS3NwcpNE92fH7VHGlarwiJcjA9CDJ6YyPa4BTVFRE11KLxcLc8y5ajDMT+fnPf44XX3wR1113HZ599tkgzWSv1wuBQBDzxXjkkUewadMmNDY2QiaTYcWKFXj00UepYgYArF69Gh9//HHQ791www14+umn6b87Ojpw00034aOPPoJSqcS6devwyCOPRNQs98gjj6C3txcrV67E9ddfj5NOOgkPPvggurq6cMUVV8T0dyUTLJIqAhJbum/QcAgdtzZrB/Z2HwSfx8dFlWvo94mGJKkr5ZbXTKhVG2dcLILFOZbsmAKBQFCDCpHjI5nivLw8SpB37949oZZ5LJibOdYsVNPXmJL7x9xQN0aQDUYosiNPAuQuCnbem//tIvpvkUgEuVwOlUqFiooKamJAFBScTieUSiXVaE6FXS5r85i1eLiIZ86FKqdwNbrNZjNaWloAIMhKW61WT3r/pMvVbqDmAA5tegXL7/nVhJ/N4jOOC9biIyYnMpmM2XLRSDGOVc6fPx8ymQyffPIJ+Hw+1q5di3nz5sFoNEKlUsX1YR9//DHWr1+PE088EV6vF7/4xS9w9tlno76+PqgZ8LrrrsMDDzxA/y2XH+uy9vl8OO+885CdnY2dO3eip6cHV199NUQiUZBL4ET4xz/+Me57yTYTiQesy6yxilCS7PK6cH7FWXB53eCPAod6DsFms8HpdFI3ory8PGi1Wkil0qT+baxdT/K3srbQJgPEuIUQY7fbTaWOUinHV5kxC0K+EPZRBzodPSjQRO7+FQtMtQcBAMa586K6xlx76u59kzvvhZoYuN1uqtV76NAhOJ1OqtVLSHMyTHJYm8OsxZMMMsrV6Caf4XA46Kapra0Nfr+f1qzq9fpxBhbpIMmjNiteW7Ma3pER5J2yCkVnnBX2dayvjSTJeRyJxzid5Ntuuw033HAD3njjDbz44ou46qqrkJOTg9NPPx2rV6/G6aefTuuUosW7774b9O/nn38emZmZ2LNnD0499VT6fblcTqVqQvH++++jvr4eH3zwAbKysrBw4UL86le/wp133on77rsvpkxFqm2powHrZiIAmwsIicftdsNms4FvC+DHxd/D4OAgWlpaoNVqUVBQQElxKuNilSSzhETFRDLFhBi7XC5q3FJVVZU2jWqJUILZhlLUDzSjtq8hBSS5BgBgnDt1LTIXqmwZVDlSDPaMome/ddy9PtlcFovFQbJjLpdrnMEFqWUmXzPNRIfFtTEVZJTH41Et3uLiYtr0Sq5/e3s7vF4vVYIhjYDJjisUUq0Oc6+9HvuffAKfPXgvCk8/M+zns3gduWA9vumMsCuSQqHAFVdcgSuuuALDw8N45ZVX8H//93+4/PLL8Yc//AE/+tGP4PP54n642O12AKDF3wQvvfQS/vnPfyI7OxsXXHAB7r77bppN3rVrF+bNm0ezFQCwZs0a3HTTTairq8OiRYuijiPRjnuJBIukioBLklkBcTvs6emB0+nEJ598AoVCQeX6tFptWpuLWF7IWFtoY5lXxDSBkGJi7BOvhnkyxmVuVuVXJLkRa2cnV4PezMkkR4uchToM9vRg1OaB7cgQdCXKmGKQSCRBslJcV7jGxkZqYMC1Uo72WrG0FrGKdGRseTweVCoVVCoVrVkdGhqCxWKB1WpFZ2cnfQa3trbCYDBAq9WmZNN0wi23o+75ZzCwfy/a/vcWSs+9YNxrWFsbQ8FyfKzGFSmmnIFyuRzr1q3DunXr0NXVhdHRUQCImyD7/X7ccsstOPnkkzF37lz6/e985zsoKipCbm4uDh48iDvvvBNNTU3YtGkTAKC3tzeIIAOg/+7t7Y0plngc95KN4yR5coyOjlJCZLfbMTw8DKVSCalUCrFYjCVLlmBvXw2ECimy9JEpWiQbrF3P6byIkTpYMgeGh4cpKS4vL0/ZgzYWzM2qxH9q30BNX2NSPycQCMBUVwsAMM6JLpMMjJHk5v/1AAC691vHkeRY50+oKxxp9LFYLKivr8fo6Cg0Gk0QaY7kucPSfGaRvLCw/nANLAoLCxEIBGC32/HZZ59hdHQUtbW1cLlcdNNEapuTUZ4jM2Zg/g3rsef3j+Hzh+5HyTnnjZOEY/E6csF6uQXLYzcVJnx6WCwWHDhwAP39/cjMzEReXl5QE1+8WL9+PWpra/HJJ58Eff/666+n/z9v3jzk5OTgjDPOQGtrK8rKyhL2+VywnEmeDjXJqYqP22hF1CfI8blWq8WsWbOg0WggEolgMpnQ2toKsViM2965F3X9TfjHZX/GhVVrpv6gJILlTQ9LmGhRJeUzZA4MDQ1BqVTSBiKtVpuUBymQ+Hm+OHc+TsxbiOqMxK2r4eAdHkbx2efA0tgAXQTuYqEIat7bZ8WciwsSGR6FTCZDXl4e8vLyAADDw8OUNBPSxK1p1Wq1abVzn+5gibjweDxa9jZv3jzw+Xy6abJarWhsbMTw8DDtHyDEOVGNoIs23IKavz0Nc30tWl7fhPKLLwv6OesklHUSP50RRJLJQH/yySdYv3496urqqHrBwoULcfvtt+M73/lO3B+6YcMGvPXWW9i+fTvy8/Mnfe3SpUsBAC0tLSgrK0N2djZ2794d9Jq+vj4AmLCOeSqw3Lg3XWqSkwGiU8t1syONVlMdnxMy2jTQgrr+Joj4IqwsXpaUOKMBiwsZCycC4RAIBKjTE2m0GxoagkKhoI52ySTFycbK4qX44NpXkv45IoUCZ//thZh/P6h5b//kzXuJhFwuh1wuR35+fpCklNlsRmdnJzweDzQaDZWcI01jLN1jLJKXdKlITIXQuEI3TSRBwm0EJeophDTHWkon1emxcP2PsPvXD2L3r3+Fsgsvps6UJDbWxosL1s1OpjOC2AWPx0NLSwt++ctfoqSkBB999BHuvfdejI6O4uKLL8add94JpVKJCy+8MKadVSAQwM0334zNmzdj27ZtKCkpmfJ39u/fDwC0jm358uV46KGHaIYbALZs2QK1Wo3q6uqo4iFgvXGPNfJCkGhyRerUuKTY6/VSUhyN+gAZN6KNfHrZydDJNAmJM16wej1ZAHH6Ihuijo4OyOVy6HQ6lJSUQKvVHtfeTTE0BXLIDWIMm93o2RfcvJequUwkpbikeXh4GGazGRaLBR0dHfB6veDxeOjp6YFIJBqnnpAOsHivsxgTMDV5D7VKJv0HFosFra2tGBwcpBtoQpyjacpecOPNaPnva5iz7vsI+P3ANCLJrNtmT2dQkkwmwY4dO+D1evHUU09Br9eDx+NheHgY5557Lt544w1s3rwZF154YUw32vr16/Hyyy/j9ddfh0qlojXExNWutbUVL7/8Ms4991wYDAYcPHgQt956K0499VTMnz9WS3f22WejuroaV111FR577DH09vbirrvuwvr162PeRR7PJMcGsmjEGh/peObWFPt8PqpTm5+fP6W25mSx+f1+bKp7GwBwSfXEBiKpBIubnnRmkrmkmOhUy+VyKk5fWVmZdhe3ZGPEM4oRzwj0ct3UL44BQ709kGVkBmXGogGPx0POQh1at/ZhaMCFwe4RqPPkQT9PNXg8HhQKBRQKBa1pHRoawhdffIGRkRHs3bs3SHLMYDDEvJYkIlYWwVpc0RJRiUQSpJ5CSrEsFgt1hCQbbJJp5srJjns/jQZX7Nx7XN3iOIIw7pza6XQiEAjQZgqZTEbrdeVyOfr7+wHE9kDduHEjgDHDEC6ee+45fO9734NYLMYHH3yAP/zhDxgaGkJBQQEuvfRS3HXXMdtWgUCAt956CzfddBOWL18OhUKBdevWBekqRwvWSTJrpIqLaOLz+/1wOp20ntRut1O/d6I+EavNb7i42pxH0Ww+DLFAlHT1gEjxdV/IiL0tlxQTneqCggJ6ZNrc3Awej8cMQU7WdXti599w34e/xbUnXIHfrb0vKZ+x6bwzMdTbg2+8/i6yl5wU03vkLBojycBYyQWXJLMA0ggmEolQVlYGo9EYJDl25MgR+P1+SpgMBkPC1prJwOLazXK5RTwxicViZGZm0hNmr9dLM80dHR2ora2FRCIJstImG3KC6WomcrzcInkYR5JJXRep9xGJRBgdHUV3dzfq6upw2mmnAUBMi8tUC0ZBQcE4t71wKCoqwjvvvBP1508EoVDILEnm8/nMZpKByUkycWEipMhut4PH41FtzJKSEqhUqqTc3DweD9v7xmrXzypbBY00PiOcRIK1B2cyM8nE5ptsjBwOByQSCbRaLfLy8qDT6WaE3X2syFFlwh/wozZJChdupxP2tsNAIABN8dTlbRMhl1OX3LPPisrz8hIRXtIQTnJscHCQkubDhw8DQNDRfLQ2ytHEwhJYJXyJjksoFCIjI4PaqJNTK6vViu7ubtTX10MsFgfNAYVCAQQCaHl9E+r/+TzOf/k1CCQSZseM4Hi5RfJASTKZAKWlpdDr9di9ezdOP/10aDQa7NixA1dccQXkcjluuOEGALGRZFYhFouZVbeYTplkn89HSbHVaoXD4YBAIIBWq4XBYMCsWbOgUChSstjweDx8aT4AALhkzrlJ/7xIwfr1jBdkDpBGO4fDQR9EOTk5qK6uhkwmm/J9WH4gJRJzs6oAAHV9jfAH/ODzEruumutrgUAA8uwcyIwZMb9PTog99XQDKd9Rq9XU3ILYKBMbbR6PR8mSwWCAUqmMex6ySK5YXn+SOVZCoRBGo5GaoZENvMViQV9fHxobGyEQCKBRyLHvjlvhMg2g7h/PYf4PbmTyOnLBenwsxzYVxmWSFy5ciPXr19OO8blz52LlypW44IILcNVVV0X0gJtuIDrJLE40lkmVz+dDIBDA0aNHMTw8DIfDAZFIBJ1Oh6ysLFRUVIw7zkoVeDweHlv0CwxneXFa6ckp//yJwNr8AuLLJJPTAi4pFgqF0Ol0yM7ORlVVFWQyWUx/N2vzPhnxlBtKIBaIMOgeQrutEyW6woS+v5k47c2J3kSEC12JEhK1CC6HZ0p76nQi0jWc6whXUlJC57HFYoHJZMKhQ4fA5/OD3AATQZpZAIvPOSD1cQkEAnptgbG1jJDmnG9/F0eefBw7H/kVXHMWgC8Ww+/3MysFdzyTnDyMI8kKhQJr166l/167dm3Qv2cijmeSIwO3ycpms2FwcBCBQAButxs5OTlxEaJkQMwX4cwqNmqRCVi6nrHA7/djcHCQkmK73Q6BQMDExmg6QiQQoTKjHAd761Hb15hwkmyiTnvRm4hwwefzkD1fi/ZPBuDoGsGQyQWFUTKt5zIXfD6f9kaUlpYGEab+/n40NTVBKBQGkeZITsVYJaQsxpTuseLz+dS0pPju+/CP/74CZ1cnBre+B9GqMzA8PIytW7cGNQKyoKACHK9JTiYisqIiF2CmXgSRSMSs4146zUSIRi2XFMtkMlpPqtVqsWfPHhQXF0OjYUNeDTiW8WP1Ac5aXJNlkgkp5iqQEEKRkZGB2bNnJ4UUT/fNRDSYm1mBg731qO9vwgWVZyf0vc31Y057hjlzp3jl1CAkGQD6am0oXT3mYMnScyFRc4ZLmMrKyihpNpvN6O3tRWNjIz01IzrN4e4DFudwusnoRGApLoFEghN/+nN8dMt6tL34d5x80SVwazQoLi6mBidtbW1UQYUQ50glShMNlsZupiEikszCTimZYNlxL5UScERChxCioaEhKqHDVR4IjY+1B8He7oO44b93YIVmMVZhVbrDCQLrCxlpcOK62pFmy1TXlbM2r5KF6swKAEBdf3NC3zcQCMDcUA8AMFQngCTP09L/7605RpJZQzLmJpc0A8fqWc1mc1ATGCHMer2eliayds+zel+xRvQqv3M19vzht3AcaUPHf/6F3G9fOa6unag1cbW6uVbqqXKFZDWTzOpciwYRkWQuWJvIiQCpSWYRySShRIydEOPh4WEolUpotdqIjRtYJMmb6t/BIcthZAsM6Q5lHFgbL7LQA0B9fT0GBwcBgGZHSktLZ0wtZjxI5nVbWrAYl8/7Bk4pjk2ebSL43W4suOGHMDc2QFcev/V19rxjp0V9Nfa43286I7SelUgbWiwWdHZ2oq6uDhKJBFKpFB6PByMjI8z087D6DGctLoFIhJPu/CU+uOkHaHvx78i68JKgn3MVVIhWN9dKvaurCy6Xi+r+kxKNcA6x8YCsSzM9mZkuRHS1iJORQCBgahInCl8XneSRkZGg8omRkRGoVCpotVqUlZXFZPGbznKQcPAH/Phv/f8AACcblqQ5mvBI53gR0wVSU2yz2Wg8arUaZWVlSZPliwbp/vxU4qT8RTgpf1HC31cgkWDpL+5N2PtlVGvA4/MQ8AfQW2NL2PsmEum6twQCAQwGAwwGA8rLy2n/xpEjR+B0OrF9+3ZIpVKqnBGtG1yiweL9xRpJBoDZ37wC7Vveg/LU0yCcxIgECDa4KSgoCLJSt1qtqK+vx+joKNRqdRBpjvaZGwpWda9nCiYlye3t7dixYwdaW1shEAgwe/ZsLF26FEVFRamKLyVgvdwiloWf3KDc8gm3201JcXl5ObRabdy7WtYyo1907kenowdKsQKLdHPSHc44pHohI9kNLin2+XzjDFw+/vhj5ObmMpPtAmbGUd1MglguhGGWEqbmQQzU2+Hz+pm8RiyQBSI3Njw8DB6PhwULFtBj+fb2duoGx20ETBVpZpGMAmzGxRcIsObZf6ChoSHq3w21UgfGElVkHjQ1NWFoaAgqlSrI4GSq09tQkHJM1saOYLr3s4VlSF6vF3//+99xyy23IBAIjAlsAxgcHERubi7+9Kc/4fzzz09poMmEWCxGIBCAz+dL+FFIvIjUTISQIW4tqcfjobvWqqqqpDQVsEaSN9WP2VCfM+s0iPki5hbeZI9XuHlA6uR0Oh0KCwsndBpj6Tp+3eD1e9FqPgKZSIZCbWKMOky1NZDqdFDk5iXsHsiap4WpeRBelx+WlrEyHZbuL1YRamzh8XgoWSIWygqFIog0J8ttktX7nLW1motAIACBQAC/1wt+HBxBJpNBJpNRR2OXy0UzzS0tLdTEjWtwMtU8OF5ukVyEvdrvvfcebrzxRlxzzTXYsGEDPTqor6/HY489hquuugqffvopqqurUx1vUkB2bi6XizmSPBGp4h6bk2yxz+eDRqOh6hNqtTrpTQMskWSf34f/1r8LAPhG1TlAL5sLbyLHi3tiQLLFXq+Xbo7y8/OhVqunXEBZGyOW5lUq8Iv3H8ZfvvgHbl7+fTx45s/G/ZyojNhtx2qB+/v7kTWknFBdZMuN18JcV4Pz/rUJJeckxlAna64Gda8dBQD0HrQBlQl524SBtft9onhEIlGQhbLH4wlyAzxw4ACUSmUQaY42wzgZWBojAtauHRc+txvtL7+IXW+/jm9v/xwygzEh7yuRSJCTk4OcnBwAY83zZPPU1taGAwcOBJ046HS6cad9x8stkotxjNDhcOCJJ57AVVddhWeffTboZ6tWrcKqVauwdu1aPPLII/jHP/7B9MSOFGTxYbEumZAFv98Pp9MZVFMcCAQoKS4oKIiIDCUrPhaw6+iX6HX2QyNRYXXxyfiidzczsREk4l4hR3bcMhpCinNzc2PeHLE2Vl8nVGaUAwDqv1K44G6CLRYLVRlxu4+dKlksFnzySTckEgmtdTUYDJBKpfB5PLA2j1ldG6qqEhZn9nwt/f/eGhuyGCPJrCHSe0okEiErKwtZWWOKIW63O8gN0Ol00mN58hVrLSurz2xW4wIACATo3/4RnN1d2PfHx7Hi/oeS8jFisThoHnBPHNrb21FTUwOpVBqUaSZjxuzYTXOMI8kulwu1tbV49NFHw/6C3+/HjTfeiB/96EdJDy5VIIsNSySZZI4GBgYwMjKCHTt2UJconU6H4uJiKJXKtB+xsESSdVItvjP/YmikakhFY0dUrMRGEMt4jY6OBtUUu1wuqNVqaLXahJXRHF9gJ0ey5/mcr2TgansaUFtbC6vVSmvH9Xo9VRn56KN6HMKY411lZSWKVhphtVphNpvR0dGBmpoaKBQKSB12+D0eiBRKqAoS10OSPVdL/7+v1oasb2onfO1xjCGWe0ssFiM7OxvZ2dkAjikRmc1mNDc3Y2hoCGq1OijDGClpZpWMsrZWh6L8hvXYe9sGHHxmIxau/xHkmcmXQAw9cfB6vfRZQFRUSJKvs7MzYpObVIKlWGLBOJLM5/NhsVhQWHjM+cnpdKKmpgbLly8Hn89Hbm4ulYqaCSA1P+kkyVx7X5vNRp3M5HI5+Hw+Fi1axKQUF0skeU5WBTZe9BgAUEk/VmLjYqqYyAORzIXR0VGoVCrodDpUVFRAo9EkpSyIpbFibZ4nA9zr7BgYI759wyZ4BT7MmzcvopMhgUAAo9EIo3Hs+Jcc29f/38sAAH5uHnZ99hlVVIhXgkpTKIdUI8Ko3YPegzbMhzbm90oGWCWA8UIikQSR5tHRUZppbmxsxPDwMNRqdUTXmaX7nAuWr10gEEDmytXIOuFE9O35Anue+B1WPvRYyuMIrW33+Xzo7e1FTU0NNbkhzpAk28wib5hOGHcXicViKJVKOJ1OGAxjOrOHDx/GySefTBvIAoEAPQ6YCYNPsnCpVLggYvSkdMLhcEAoFFIns/LycigUCtjtdtTV1UGlUqUstmjAEknmgtV5yXW3I//vcrmCGu2Gh4cpKU6UCkmkcbEEFudVPOBmgYhZD6k7XTxnIfL35aDT0YMhuQtarTamzyDH9m0OGwCg+MSlKC4uhtlsRl1dHVwuFzWGMRgMUdvq8ng8ZM3Vov3TMXtql82Lr/q6jyMMkkX8pFIpcnNzaQMYIc1mszlIaoyU4XDXEFbJKKtxAWOx8fl8nPTze/DmZReg9u9/xaINt0CZk5vWuAQCAT1JPOmkk+D3++mzpL+/H83NzdQIh5w6sCDxOZ0w7skrkUiwYMECbNq0Cd/97nfhcrnQ2dkJtVoNYIzcvfnmm1i2bFnKg00WeDxe0g1FvF7vOFIsFouh1WqRlZWFioqKsA04rJJQAlbie6PhPRRq87EguzpIcoaF2LggcfX399PFjJi46HQ6zJo1CxqNJm7tzFjA2lhNd5CNMCHFxNZdp9OhpKRk3BH5nKwKdDp6UD9wCCcXxWcsQpz2MucvoGSKNHmazWaYzWa0t7fD7/dTa2WDwRDRAzRrngbtn47ZU9tbXTDks/XA/ToSgFDSTPR5zWYzamtrqamFXq9Pi21yJGCdJPN4PBSefiayT1qG3t2fYc/jv8Gqxx5Pd2hB48bn8ykZJnbqDoeDzoWWlhYACNJpTkcv03RC2Ezy1VdfjfXr1+N3v/sdAoEAAoEAzSoDQF1dHe64446UBppsJFor2ePxUFJstVrhdDohkUig1WqRk5OD6upqSKXSKRcFVkjoRGAhPo/Pgx+9fResIza8ffU/cUrRUqZIssfjofPAYrEAAI4cOQKdTheziUuiwdrDibV4IgHpIyCk2G6306PPvLw86HS6SbVwqzMq8N6hbajvb4o7FnN9LQDAUH1MK5yr20oUi5xOJyXNLS0t9CFLSHO4jTu3Ltl+aBQsOb+zcL9zkS7iJ5PJkJeXh7y8vCBTC4vFgoGBAXg8Hnz++ecpt0+eDNOBJPN4PCz75b3470Vr0fDSC1j2y/sg0WimfoMUxBYOfD6fauKT1xLSbLVacfjwYfj9ftr7oNfroz5dmgqsXtNIEfYMd926dRCJRNRlTyAQ0LpdgUCAZ555htpxzgTweDyIRKK4apLdbjfNGtlsNjidTsjlcqo8odVqYxKLZ83RLhQskOSPj3wG64gNRrkeywpOCPpZOmIjpJi7QVIoFNBqtSgsLERjYyOWLFmS9odSKNJ9HUPBWjyhCHUvtFqt4PF40Ol0yMjIwOzZsyeUZwuHs8tXQSqUJMSeeunP7oaptgbGufMnfA3XVre4uBh+vx92ux1msxm9vb1oaGiARCKhhJkYXmRxFC7sLa64Y53JYGEOh5pa9Pb24tChQ8jNzaU22h6PhxKlWMpwEhkri/D7/XQ88lauxrK77sesiy9LO0EGgmObCqT5X6PRoKSkhG6UyQaqvb0dXq+XzgWdTsfEBiqdmLDQ8Tvf+c6EvzSTCDJBtJlkUkdKvoaGhigRKioqglarTYgYPI/Hi8hMJF1ggSRvrhszELmo6hwI+WNTOpWZZGJBSzZIg4ODkMvl0Ol0KCoqgk6nC5IZbGxsTHpM0YLVhxMrIOPDdcziKlAQxZl46v1WFJ6IFYUnJiTeim9/BxXfju53SO2iTqcDMFYuQhQVuIYXapkW4AEIsEeSWcxGshiPQCBAQUEBPVEYGhqiRKmjowNerzeojjUVpNnv9zM3VgTcecXj8bDkJ3emOaJjiGfOczfKRUVFQXPBarXi6NGjcLvddI0jpw6s+UkkE2H/0n379sHlcsHtdsPj8cDtdsPn84HP58Nms+Hyyy+fcTUsU2WSR0dHg0gxqSPVarUoKSmBVqtNqNg7AQskdDKkOz63z403m7YAAC6ZE2yYkKzYSH05lxRLpVJ6aqDT6SbcILFUBhIKlmJi5WFJxP2HhobQ0tISZNSSl5eXtoxbKjCRcobZbIYsR4CRbh/sraPo7+2nY/J1zjiFA0v3FEEoqeLxeFAqlVAqlSgsLByXXTxy5AitXSekOVl1rKzc96GYjIgO9fVCkZWd4oiOIZGbi3BzYXh4mCYGSH07V36QhXLBZCIsSV69ejWGhoZoyQWPx4PL5YLf74dcLsell16aNMvMdIFLkgOBACXFXG3adDRXpZuEToV0Z7o/Ovwp7KMOZCkzsLxgSdDPEjV24RqwJBIJJUpT1ZqGA2vXlMWHUzrGiJwKkEwKUaDg8XjIzMxEaWlpUrMoXY4e1PQ2oNxYhjJ9bPrG3Ts/gd/vQ8a8hQk9DuYaXhxcakX95k74XYCjw4Vad23cyhkzFazdW1PdV+Gyi6R2nTgCBgKBIGMTtVod99/J4ikAQbjYfB4Ptv7wB2h5fRO+89l+aEvLmIktUeDxeFAoFFAoFMjPzwdwrCnUarWioaGByg9ymwGTkTBMF8Ku9jU1NeDxeBAKheDz+XC73WhubsbDDz9M65VnGgKBAF555RU8+eSTMJlMuPvuu6lhQzK1aacCeciwuoCkm8RvqnsHwJgNtYAfnMWKdbx8Ph/VrLZarVSJhJBirVY7zho0UrB4Db/OCLcBkkql0Ov1QSdE+/btg1KpTPoacPcHj+K1urdx3+m349aTb4jpPXY/+iA6t2/D6X/+C6qvXJfgCMeQNVeL+s2dAAChVYlV316M4eFhSqSIcgYhUZEqZ8QL1tZJ1uIBoo8ptHY9EAhgcHCQXuvW1lYACCLNsVxrFseKIFxsApEILvuYac8Xjz2Es57+e9piS+VmlNsUChyTH7RardTohkhbEqGC6YywKz7XSISgoKAAmZmZuPDCC3H++edP67pkv9+PhoYGfPzxx/j444+xfft29PX1YceOHTjrrLNw9dVX49RTT2Xi6JDcmH6/n4l4QpFOkuwP+PF5514AwCVzzhv380hjIw1L5OSAaFbrdDrk5OSgqqoKMpksoQs4i5lklmJK1sOS2LuTRZ0oUMRzKpBIVGdW4LW6t9EwcCjm9yDyb4bquYkKaxyy5x3LUFsah4MyTuSYlkukiHIGaQCcSDnjOFKDeMadx+NBrVZDrVajpKSEqrpYLBaYTCYcOnQoSIosUkOL6UaSAeCkn9+N9i3vovmVf2PJbXdCN7uCmdhShVD5QWKSRDbL5PvTFVGlRWbPng0+nw+Xi61mjWjgdrtRWFiIwcFBrFixAqeeeirWr1+PDRs24M4778SFF16Y7hCDwHINK5BecsXn8fHlD9/Dp+1f4KT8ReN+PlFs4dwNiZFLVlYWKisrE06KuTEBbF5P1mJKRDyhChQ2mw0AYlagSDaqM2YDQMwycMMD/RgZ6Ad4POgrqhIZWhCy52np/1ubh8f9PByRIsoZPT09EypnzDSkm8CEQ6Jj4vP5QYoJXG1erqEF2RxNZJ3M4lgRTJStzVp0AkrOvQBt77yJ3Y8+iDXP/iPlsUWjbpEKcN0hSS/bdMaEJJl0Nnd3d2NkZAQqlQpKpRIvvfRSzG5QAPDII49g06ZNaGxshEwmw4oVK/Doo4+iouLYDmx0dBQ/+clP8O9//xsulwtr1qzBU089RV3+AKCjowM33XQTPvroIyiVSqxbtw6PPPLIlMehYrEY7733HqqqqoLqZiQSSUod9yIFy6QKSH8GUsgXYlXJ8gl/HggEwurXCgSCtBAlVh8CrMYVC4gCBfkikkbxKFCkanyqM8dIcpOpFR6fByJBdKVtRB9ZU1IKkVye8PgINEUKSFRCuAa9sDaNJ8mh4CpnzJo1a0LlDC5pjqWsjzWixeK6newx4mrzlpaW0g2SxWJBX19fkHUy91SBtWvHxWSxLf3Z3Wh7500c2vwqlvzkZ0Ha5OmO7Tjix4SM8umnn8ZvfvMbdHd3U53ks88+G4899ljM9ZgA8PHHH2P9+vU48cQT4fV68Ytf/AJnn3026uvrofjK3/TWW2/F22+/jVdeeQUajQYbNmzAJZdcgk8//RTAGIE/77zzkJ2djZ07d6KnpwdXX301RCIRHn744SljWLBgwbjvicXiuHSSk4XjJDk8fH4feDwe+Lzxu1RypO73+2mNFNGvNRqN1PI7nQsLi9eTpZiiuTZEgYIc8ZHua51Oh9zc3IQ1kKVifAq1eVCKFXC6h9BqOYLKjPKoft9cXwcguaUWAMDn85A5R4Ojn5nh7HZjxOaGTBt5s06ocga5hmazmd6zxCHOYDBMa+UM1ghMqu9z7gaJuMCR5lhyqiAWiyESiSAUCjE8PJy0k7xYMZmChHHefJRddAlaX9+E3Y8+iLUv/CulsR0nyclFEEkmg/3UU0/hvvvuw80334xvfvObkMvlaGlpwW233YYbbrgBL730El3cosW7774b9O/nn38emZmZ2LNnD0499VTY7XY8++yzePnll3H66acDAJ577jlUVVXhs88+w7Jly/D++++jvr4eH3zwAbKysrBw4UL86le/wp133on77rsvps7KRDvuJQrcxj0WkS6S/Gbj+/jFlodx/YlX4cfLr4PT6Qw6UidxqdVqVFRURFQTlwqwuulhYWxCMdEYcXWpLRYLbRTR6XSYPXv2tNbx5PP4qMyYhS+7DqCuvzkGkvyV015VdTLCC0L2PC2OfmYGAPTV2lF8SkbM7yUWi6lyBjB2mkicAInsFLHPTpVubyLA2n1OkM77nVuvTE4VbDYbWlpaMDQ0hB07dkAikQTVNMuTeCoSCaYioifdeRda39iM7p2fYNRmhVSrS1lsrJVbcEHU0aYzwpLkv//97/jZz36Gn/zkJ/RnRUVFeOedd7BkyRJ0dXXBaDQmZAdjt9sBHDMo2bNnDzweD84880z6msrKShQWFmLXrl1YtmwZdu3ahXnz5gWVX6xZswY33XQT6urqsGjR+PrUqRCv416ywG3cYxHpkIALBAL4z8E30OXoRVP7Iezw7kAgEKBH6qWlpVAqldi1axcyMjKgUqlSGt9UYHXRYPWBzlUbsVgsVIFCp9MlVaM8XajOrMCXXQfQ0N8MhGlInQyWFDTtEWRznPf6am1xkeRQSKXSIFtlopxByjOIcgYpzyCbYBazaqzFw9oYCQQCGAwGmM1mKBQKVFVV0Xu9s7MTdXV1VHGGfMVzmh0LphozQ1U11r74bxSsOh3iFD9vWLueMw1h0y2Dg4PUdYkLtVpNfeATAb/fj1tuuQUnn3wy5s4dW9R7e3shFovH1T1nZWWht7eXvoZLkMnPyc9iAaskGUh/3e9kSEVspPmKZA97TL3Y0rodAHBhxRosnLUQSqVy3G6a1XFjMS6WFtlAIACXy4Xh4WHs27cvSIEiNzd3xjZ5EVy54BKsLDoJJ4ZpRp0Kpz76ewwc3I/sk5YlIbJgZM3V0v/vPWhL2udMppxB1BQEAgH0ej19PrHSjMnafQ6wGRNwrDkutBTH6/VS0tzR0YHa2lrIZLIg0pzs9SASIlp2/kVJjWEiHCfJyUVYkrxy5Ur8+9//xpIlSzB79mwMDw+Dz+fjV7/6FQoKCpCRMZYxiPfCrF+/HrW1tfjkk0/iep9EgNWaZIBNUkWQjNi4Lj+EGPt8Pmg0Guh0OuwfbYDb70aJrhDnLDpjwnnI8sLB4vVMV0zkehNZNpvNRiUP8/PzmVCgSOVnLys4AcsKTojpd7NOOBFZJyTG2nrKz5p7TAaur9aWks8EJlfO6O3txZ49e4KUMwwGQ1rNr1hbh1glVROtP0KhEBkZGZR3eL3eIDfAgwcPQi6X01IcvV6f8OsdzZgFAgH0fr4LOctWJDSGicByucVMQBBJJgN9//3347LLLsPZZ5+Nk08+GWq1Gg0NDWhubsaf//xnlJXF7yyzYcMGvPXWW9i+fTt1cgGA7OxsuN1u2Gy2oGxyX18fsrOz6Wt2794d9H59fX30Z7GA5Uwyn89nklQBiSHJJPvDrSnm2v/m5+cH2aD+cvdjAIBLqs+bdOFidXPB4gMq1TGFU6AgjVrFxcW0G567NhwHW5CoRFDkiTDU5UFfrR1+fwB8furnNrcxrLW1FStWrKAGB4REEXODeJQzYkGqjR4iBYtrUKREVCgUIjMzE5mZmQDG7NJJ0+fhw4dx4MABqpRCSHO85ViRXkefx4NN556Bvi9349L3tiEnBSc6rG56ADaTQdEibCY5Ly8PO3bswEsvvYSPPvoIo6OjWL16Nf71r3+hpKQkrg8MBAK4+eabsXnzZmzbtm3c+51wwgkQiUTYunUrLr30UgBAU1MTOjo6sHz5mNTX8uXL8dBDD6G/v5/eKFu2bIFarUZ1dWwNK6xnklmuSY72RiC231xS7Ha7odFooNVqkZeXB7VaHbab3eEaxJaWjwEAl8w5N+GxpQKsxpXMmLgKFFarFaOjo5MqUAwODiYtlliRymu2q+NL7O2uwdrZp6M0Qnvqjg+3YLDzKPJOPhXasllJjnAMqlIxhro88Az7YDsyBH2pMiWfOxkEAkFQ5tHtdtPM40xTzogFrJKqWDcUIpEoiDRzlVJaWlrgdDqDNkmx2CZPpm7BhUAkgr6yCn1f7sbuX/8KF216O+q/J1pEGttxxIYJW8CFQiHWrVuHdeuCbU3jTe2vX78eL7/8Ml5//XWoVCpaQ6zRaCCTyaDRaPD9738ft912G/WEv/nmm7F8+XIsWza2Kzv77LNRXV2Nq666Co899hh6e3tx1113Yf369TEfs7CqbgGwS6qAyLPcIyMjtHTCarXC7XZTkpSTkwONRhPRg+p/TR/C5XNjtqEUczKndjdiddxYiyvRiyxXgcJqtdIHlU6nQ3l5eUQKFKyNUSrxyPY/4eO2nVBLlRGT5Pp/voCWza9ixX0PYfGPfzL1LyQA6lIxencMAQD66+1pJ8nhCKBYLKbmBkCwckZNTQ08Hg+0Wi0tzeCeWiUjnnSD5fsqEWMVqpQSbpOkUqmCSPNUJwvRXMcTf/pzNP37JRz9aCu6d36C3BWnxP03TRUbi6cVMwUTPqWcTidqa2vppHK73QgEAjCZTFi3bh3Ky6OTJiLYuHEjAGD16tVB33/uuefwve99DwDw+OOPg8/n49JLLw0yEyEQCAR46623cNNNN2H58uVQKBRYt24dHnjggZhiAsZIstfrjfn3kwmWSfJEsRFrSvLlcrmgUqmg0+lQVVUVMSkOxbzsKtxw4lUo0RVOuWixOm6sPTQJ4hkrUhdKrrfD4aAKFEVFRTFlb77OmJM5Gx+37UR9f3PEv0Pl31KgbEGgLj2WlOirs6Py/LyUfXasiFU5IxawuP6wSNyBsTUkGdKNoZskl8tFSXNjYyOGh4ehVquDSHNoHNGMmbqwGFXf/R7qnn8Gnz18Py5+8/2kjjer1xOYgRJwBJ2dnfjBD36A999/HxqNBiKRCHw+H3K5HD09PTjllFNQXl4eU1Y5kkVDKpXiySefxJNPPjnha4gkXaJwPJMcG0hshBST7CFxadTpdKioqIBGo0nIAlidORuPnXNPVLGxBhbjinYhIwoDpOucq0CRk5OD6urquGSaWByjVII479VFSJJ9LhdsLYcAIKWOX+rSYxuf/jp7yj43UYhGOYOQ5mg1e1kkCSzGBKQmLolEgpycHOTk5AAArV+3WCxoaGjAyMgIJc16vR46nS5qIrrkJ3ei4eUX0f3pDnTt2Ib8U09L0l9zvNwi2QhiLYT0/u53v0NfXx+2b9+OU06Z+KhgJqX4xWIxhoentldNB/h8PnM1yaTuq6+vD06nE59++ilUKhW0Wm3Ex+nJBstEi8W4JouJqzhisVhgs9kAAFqtFkajkQkFimQi1X9XdcYYSW6IkCRbm5sQ8Pkg0WihyE1dNldZKAZPyEPAG0B/fXpJMpm/8VyrcMoZNpsNZrMZ3d3dqK+vh1QqpU1hUylnsHqfs3ifpisuqVSK3Nxc5ObmAhgrDSSkub6+HqOjowgEAjhy5AiysrIiqmFX5Rdgzrrvo+ZvG/HZQ/fj0pWrk/a3HS+3SC7CspijR49izZo1lCCH3ugs3mDxgmV1CxbIHlEcIZli4nImEokgk8mwaNGipHeM/2X3i6jKnI2TC0+EgD91qQar85TFuMLFRJoriTQbUaDQ6XQoLi4Oq019HIlBZUY5eOChf8gE05AZRoVh0tebG4gd9ZyUzi+eENCUSGE7NAJT0yB8Hj8EopkzJ7jucMAxzV5SmkGUM0iWOVx9K2v3e7qfJROBFfIuk8loOQ4ADA8PY/v27XC73dT9UavV0nmh1WrDkuYTbv0p6v/xHLwjIxi1WiDTT34PxwpWxi0UgUCA2bkWDYJIMhnoFStWoK2tDUePHkVBQQGTFyDROE6Sg+HxeCghttlscDqdUCgU1OWMPAx6enrQ29ubdIJsGbbiF1segdfvxZ4fvo9ZhqlVVljYXIQDq3F5PB709/dTUjw6OkpLZubMmTOh4kgywOIYpTIehViOYl0B2qwdqOtvxqqS5ZO+3lw/RpL1VakrtSDQl8thOzQCn8cPc8sgMqs0U/9SEpCK6xOq2UuawsxmMxobG+lRPSHNLB6Fs0yqWIyLlI1VVVVBIpFgZGQEZrOZOgKSxk8uaebz+VDm5OKbH3wCQ1U1eElMJhzPJCcXYUnyhRdeiOuvvx7XXnstrr76akgkErjdbirifeaZZ2L+/PnMTupYQP5GFpEKwhBOjUAul9Os4UTWv6kiM280vg+v34t5WVUREWQC1ogWAQtxca/54OAg7HY7FAoF9Ho9MyUzX2dUZ8xGm7UD9f1NU5NkmklOXdMegW62HHjHDGCsLjldJJkglc+kyZQzDh48CJfLRUlWopUz4gGLz21W+QRZq/l8Png8HuRyOeRyOQoKCoIaP4kjoNfrhU6nGyPNuXkIAEjmX+X3+1Om+/11RNia5GeffRbbtm1DZmYm1q9fT60ipVIpent78dRTT2H+/PnUFWsmQCgUMqtukYyaZK/XG6RGMDg4CJlMRtUItFptRHJ6qSLJm+vHmjQvmXNexL/DqglLurKk4RQoJBIJtXXNy8tDQUFByuM6jvC449QNuO2UG1CZMbWS0Bl/ehqWxnpoy2JTHYoHuvJjjWx9dXbMvSzlITCDUOWMvXv3gsfjweFw4MiRIwgEAtDpdAlRzogVLJNRFuMiz95wsYVr/BwaGqKnC0QtRSURY3T3Z1jw/evHacLHC1bHbaYgrOPevffei5/97GcQCoVU2UIgEIy7EDOFIANjGYGZnEn2+XxBNcWDg4OQSCTQ6XQoKCiATqeLSWM6FYRvYMiM7Uc+AwBcXL02qt9llSSnAlwFClI2M5ECxb59+5jKGh9f9IGFOZGXTsgzsyDPzEpiNBNDN/uYikm6m/cAduYOj8eDQCCAWq1GaWkpAoEAHA4HLBZLkHIGIcx6vT5q5YxYwOKaCLBL9qJpCOXxeFAqlVAqlZQ0O2w2vLZqKYaPdsDqdkN54jK6USJeEPH83SyW9BDMWAk4qVQKkUhEC6/9fj98Ph8CgQC8Xi8kEsmMS++LxWJmM8mxEFGfz0ezhjabDQ6HA2KxGDqdDnl5edDpdJBKpWmJLVq83vAu/AE/FuXMQ4muMOLfY7GuFUheXFwFCvLFzVzNmjULCoViwkWLtbFiKZ50LvQ+n49ez+6ubvr9hoYGBAqcMBgM0Gg0aYtRlS+FSCaAZ8SXVhk4luYLF+S68Hg8aDQaaDSaccoZXV1dqKuro8oZhEDFao41GVgmo6zGBcS2BvB4PGh0OlR/6wp8+btHMfr26zj9hzfDarPBYrGgtbUVAGh5hsFggEqliuqzjtckJxdhSfKePXvw5ptvQi6Xw+VywePxwOVyQSAQwGKx4Nxzz8WFF14Yt/seS2C5cS+SsgGfzweHw0FJsd1uh1gshlarTYhu7URIBRE9VmoxuQ11KFglyUDiHuhce2+LxRKkQFFYWAiVShXRPcriw+nrCnICYLFY8I/9r6De1Izvll2CspwSaLVaAE4AYzWuDocDtW9sxtCB/cg5ZSXKzl4Lo9GYkowkiZUv4CGjSo3uvVZYWp3wjHghkrFzKpFOTHafT6accfjwYRw4cCBIOUOv1yfstIfF+30mkmSChRtuwcG/boS5vhb9H32A8osvQ3FxcdDpgsViQUtLC/h8fhBpnqokh9VxmykIuuPIYO/btw8PP/wwiorG7FD5fD68Xi8GBgbgdDoxZ84c+vqZgulmJuL3+ykpJvWl5Cg9KysLlZWVkMlkSb95kk1ER70udDnGrMu/URVdqQWrC0c8cXk8niBSzFWgqK6ujtnJkLUNBYvXLpnjw9WgtlqtAMayS5s63sVhewd+cNrVqCyrRLeijv5OZmYmShdlYei1f+Po669CJZOiZ95CNDQ00Iyk0WiEXq9Pqtshj8dDZrUG3XutCASAgUYHchfpk/Z5EyERZCYZiDSeaJUzJpIemwqsZh5ZJXuJmFdSrQ4L1/8Iu3/9IHY/+iDKLrwY/K9KWENPF0JLcribKb1eP440s1xuMRMQVt3iBz/4AX7wgx+Me/Gbb76JDz/8EGvXjpGVmVaTzHK5Bbd8wmq1wm63QyAQUFJcUVGRFjOHZJMrqVCCfes/QMPAIRRqozNJYI34EUQTF7fB0mKxBEnxzXQFChavXaJANjskg+RyuaDRaKDX61FYWEjrFOc2VuGwvQMNA4dwRtnKsO9laawHAJQsXYa5S5fSjKTJZEJLSwucTifUajWMRiPV8k00Scqcc0zRor/OnhaSPNMQqpzBlR47ePAgPB5PUMYx0pIbVu8rluNKRG3tghtvxoGnn4S1qRGHXvsPKr51xbjX8Pl8aLVaaLValJaW0mZri8WC/v5+NDU1QSgUBpHmmXSizyIierqSi3DBBRdg586duOeee/Dyyy/D6/XOmAc0a417fr8fTqeTEmKTyQShUAitVouMjAyUl5dPWl+aKvB4vKS7AfJ4PGrTG+3vsbzwhgM3k8BVoCDlE8nKCrI2Vume14kG92FnsVgwODhI5fZmz5494WanKqMcbzS+h4aBQxO+t6VhjCQbKqsBjM9IhsqSEYkqkmlOhMJCFock99U74nqveMHS3ElkdlQmkyE/Px/5+flURYGQ5ra2NgCgxGmyY3qWM7Yskr1EZWolGg0WbbgFnz14L3Y/9hDKL/km+FPwJ1J6odPpUFZWRuvYLRYLent70djYSHvFANDmTxav73TFpFeI+9D0+/30ZpwpxJgLkUiU1kwyqUPkGnjweDwqxZaRkYHZs2czN/mTSa6G3MMQCYQQC2InhSwRPwLuNQwEAnA6nZQU22w2ekKQzFry40guuFJQxMabZIDy8/Mjbsoi8m+NE5Bklz77I5gAANzISURBVN0OZ3cXAEBfVR32NaGyZE6nk5LmlpYWqrBAMs2xNPRmVgdnktMBFu/1ZMXEVVEoKiqita1msxkDAwNobm6GSCSihNlgMAStI6w9RwA2rx+Q2E3F/Ot/iANP/xmZ8xfBPeiAVBfdiUtoHbvP58OuXbsgkUiobTqR9SRfqepPmKkIy3aPHDmCzZs3QyaTYXR0FB6PBx6PB5999hkaGxvxyCOPAJhZ5RaprkkmDysuKQ4EAtBqtdDpdCgtLaWZgPr6eojFYiYXtmSS5L9+8Q/8YeffcMfK9Vi/7Jqof5+17CgAqhZjNpvR19cXtQJFsmNjCazFMxVcLhclxcTGmxyHx3pdq74iyU0DLWHHw9LUAABQ5ORCotFO+X48Hg8qlQoqlQrFxcU0M2UymdDR0YGampqomsVITOo8GaQaEUbtnrQqXLCIVNzL3NpWckxPlDM6OzuDlDOGhoaYVKdiOcOdqLjEKhW++2VNRPdqJBAIBBAKhcjJyUFOTg6VeuVed4lEQu9lvV5/POkSJcI27tXU1OAnP/kJDAYDAoEABAIB5HI5Kioq8Nhjj+Eb3/gGADZ3o7Ei2TXJJLNECDEhR6T+qLi4eELpl2SYiSQKySSir9W9DduoHXJxbDc1KySZq0BhtVrhcrng9/uRnZ0dlQJFMjGT7uVkINz4EMdCQoqHhoagVqupjXciTAPKDEUQ8oUYdA+h09Ez7uekHllfWRXT+4dmpjweD80yk2YxrVZLM83hHONIvWZmtQYdu0ywdw5j1O6GVJO8ZsFwYOFeD0W6YuJe1/Ly8iDlDKKdbjKZaKY5kcoZseLrQJIBJIwgE3Dj4+puA8fWKLPZjI6ODtTW1tLNEpkfiZCCnQwsXtNoELZx74ILLpiUlM3EQnFSk5yoGyJUs9Zms8Hn81FSHK08F4sPACB5sTWbWlHT1wAhX4iLKtfE9B7pGjeuAoXVasXw8DAlT1VVVWhra0Nubi5ycnJSHttkYGmOsbiwBgKBoLpih8MBqVQKnU6HkpIS6HS6hGfoxAIxyg0laBg4hGZTK3gIPp61HRorw9BXRW48MhlEIlFQsxix3DWZTGhvb0cgEIBer6elGdw5kzlnjCQDQH+9A4XLjQmJKVqwNndYiIdbp+52uyGVSqFWq4M2QxqNhpKnZDR3RgIWxioUySLv9iOHcfCvG7Hi3gchiEMPezI+JhQKYTQaYTSO3Ytks2SxWHDkyBEcPHgQcrk8aLOUDG3u6YwJt46kRra3txf9/f3g8XjIyMhAYWFh0nce6YBYLI5LJzkQCGBkZCSIFHM1awsKCsJmYSLB15Ekv1b3NgDg9NKToZfrYnqPVC245IiLa/FNFCjKysqg0+mCsjTt7e0piSsasPpwSvfnj4yMwGKx0OZZ0kiTnZ2dsnrxFy79IzIUBujlOnyIuqCfrXjgYcy77kbwk1T6JpfLIZfLUVBQQOteTSYTent70dDQQO9/gUAAQ4WC/l5/nT1tJJklsJgdDQQCEAqFYZUzyDE9Uc4gWcl4XeEijYu1sQKSE5ff58N/L1qLwY52aEtnYd4Pboj5vaKJL7Spl6uy09bWhgMHDtCGYkKakykfOR0wIUluaWnBnXfeiffee492d+bk5OD666/Hj3/84xlHlKM1EyEPUC458nq9NGOYl5eXMI/2rxtJDgQCeLX2LQDAZXMuiPl9kjVuXI1qklGM1uKbxevJYkyphsfjCaorJtJsJCOTjubZioxZE/6Mx+NBXViUkji4da9lZWXwer34/PPPwefzcfjwYXSOWulr2/f2YZGvOKV9K6zqJLOGcKRqIuUMYmwCIKgJMBl9E18nkswXCLD45tvw8U9/jC9//yiqvrsOwhg5VTzxiUQiZGZmIjMzE8CYNjd5rrW2tmL//v1QKpVBjYBfN9IcliR3dnbi2muvxcjICN58803MmjULbrcbmzZtwhNPPIGRkRHcd999M6rsIhKSTDLFhBi73W5KinNzc6FWq5PyUCBmLiwiGUT0YG89WixtkAolOLfijJjfJ1HydKTJkiwedrs9rowii5se1h5OqTwF4OpQc6XZKioqqGEDqeVjbZzSCaFQCLFYjJycHOTn58NS7EDd3f8DALTv6cXWrVuh0+loaUa0drszASwSv6nWnsmUM4hW72TKGfHExdpYAckrL62+6nvY84ffwNnVibrnn8GCGzfE9D6JNBMRi8XIyspCVlYWgGOGNsQN0Ol0QqVSBZHmiUrMWHvGxYoJSXJjYyMOHDiA3Nxc+v077rgDMpkMf/rTn3DffffB5/PNGJIcrtyCNFwRUuxyuai7WVVVVczuZtEiFVrEsSIZhO/VurEs8pry06CSKON6r1hi4x6zk+vv9/tpA1O8ChQsPggA9ha1ZMQTuuHhSrNFegqQagy6nPj19j/jsOUIrgsce5DaWlvwv+duQe6KU7DghvVpiY17jfR5aiizpHD2jcLTzceKFStgMpnGSc2RJsCZdhoZDqzdUwTRrEHhlDPI/UMUFGQyWRBpjiXbyCpJTlZcAokES27/GbbdugF7Hv8Nqq++FqIY5NqSqS8damjDVfBpbm6mzcqEMCejLyPdCEuSSTNKuN2hTCZDWVkZAMyowSCNe8888wy2b9+OgoICnHXWWVCpVNBqtaioqKDHrqkGi5lHAnJzJnIhuWrhZRALRFhReGJc7xPNuJGbn5TOuN1uWk+eDAUK1q4niw+nRGF0dJReW4vFErThKS8vj0h8P533oEwkxV+/eBFunwffcq2j37cdakLrG5vhHR5OG0kGgudOZrUGzr5RDA24gGEhiouLg6TmzGYzjh49irq6Osjl8iDr7HjXVlbLLViLJ961ms/nUzJMlDOIffbhw4dx4MABmm2MRjnj60aSAaDqynXY+4ffwtF+BDXP/gWLb7416vdI5bhJJBIqNwccW1stFkuQdbper4dWq6WqOdMZYWduYWEhVq5cibvvvhsPP/wwRkZGIBAIcODAAbz00ku47LLL0NXVRWsxS0tLUx13QtDX14dt27bho48+wvvvvw+v14u//OUvWLp0KU477TSsXLky7bI4ANskmdycibxRZxvLcPdpt8X9PpONWzgFCrKwJ/uUgNXryVJM8cwlrjSbxWLByMgIvbZz585NWK9AqiDkCzHbUIba/kaYh4/V/To6OgAA+srwJiLpQOYcNQ5/1AdgrHlPmTmWLQ6VJCO136HqCqQ0Y7pdo4nA0j1FkGhSJRQKg+paScIhnHKGwWCAVqsNe22/jiRZIBJhyU9/jg833IC9T/wOc6+5DmJldKen6Sx7lUqlyM3NpRUHhDSTa19VVQVllH8PawjLAAOBANra2rBr1y689tprmDt3Lux2Ow4cOAC9Xo8PP/wQmzZtgsvlQlFREV566aVUxx0XvvzyS1x99dVoamrC/Pnzcdppp+Gee+7BNddcg507dzJXmM7n85lcbIFgkswauGR0KgUKrVabspMRFh8ELMYU6Zzy+/0YHBwcJ82m1+tTfm2ThcqMWajtb4Rp2AJgTEXC0fGVFXFVbBrJyUAW13mv3o7S07LCvk4kEgXVPo6MjNDSDK7UXCyNYqzNZdbiSfZaHZptjFQ54+tIkgGg8ttXouaZv6B4zdqYfp+lceOSZlZLRKNFWJLM4/Gg0+lwzTXX0MEXiUQ444wzwOPx4PV6IZPJ4Pf76e4xGmzfvh2/+c1vsGfPHvT09GDz5s3UoAQAvve97+GFF14I+p01a9bg3Xffpf+2WCy4+eab8eabb4LP5+PSSy/FE088EdGupbi4GA899BBWrVpFjwP6+/sBjO2CWSPJrNckA4lZeL1+L2575z6cU34azi5fBSE/9iy+3++Hy+XC4OAg9u7dC7vdHrUCRTLB4qaCxZjCgatBTsooSCPlTLXyJvbU5mELNF+R5EEGMsmhcyZzzjGS3BeF855MJkNBQUGQ1By3UUwsFgdZZ4dbo1mcvywRGIJUxxSJcobBYIDX66VZZ5bGLNnjxRcK8a0PP435M1icYwSsxhUNwrIQvV6P1157LWkfOjQ0hAULFuDaa6/FJZdcEvY155xzDp577jn671BCc+WVV6KnpwdbtmyBx+PBNddcg+uvvx4vv/zylJ9vNBpx8cUXB32PLLrxaCUnC6wezwOJJcnbj3yGF/b9H95sfB/Nt34a1e9yG7K4Nt8ikQj5+fmorKyETCZj4qZlIYZQsBZTaDxcaSKLxQKPx0Nrxidzq5wpqKIk2QoNCgAALpsVYgGgm12ZztCCkFEVnEmOBaGNYj6fjzrEcWteCWHW6XQplZqbCUjXvRKqnEFOgciGqKamBo2NjbSWOVHKGfEgFSQ0nvefSSpjLGLSVF0o8ZmICEV7gdauXYu1ayc/WpBIJLSjMhQNDQ1499138cUXX2DJkiUAgD/96U8499xz8dvf/jZIkSNSkOPY4yQ5OiSSJL/2lTbyRVVrIBJMfjweat5itVppQxYpoSAWrHl5eXHHlkiweD1Zi8nv98Pr9aKlpQUWiwVOp5PqdVZWVlJptq8LCEm2DFvB7QBRFRZFXcOYaHAf8FK1CNpCOWwdw+ivsyeEYAgEgiDXMJfLRTORtbW1cLvd0Ol0UKvVANjKrLEUCwFL9zmfz6cbosOHD+PEE0+E1+ulpRlEOYOUZqRDpzdV1zAQCODotq3Y98ff4+xn/wGZ3hDx77E2xwhYjSsaTEqSQ//AVP7B27ZtQ2ZmJnQ6HU4//XQ8+OCD1I98165d0Gq1lCADwJlnngk+n4/PP/98XJY4EhzPJMeGRJFkl9eFNxvfBwBcNvf88K9xuYKO2LkKFAUFBeMUKKxWK7Pjxmpc6QI5CSCZYpvNBmDsfiwsLEy7iH2678FiXQGkQgkEvGMbA75IDH1lSdpimgiZczSwdQzDNeiF/egwtIWKqX8pCkgkElr3yD2+JyVzH374YVBpRrozkayBVVJFnBtJkx+AIOUMrk4vIc2hbqbJQMoytYEAdt77S5hqDmDfHx/HivsejOBX2FR0mUlIv3RDGJxzzjm45JJLUFJSgtbWVvziF7/A2rVrsWvXLggEAvT29o6rhSZap729vTF9pkAgAJ/Ph9vtTsSfkFDw+Xxma5IJ4iUQH7TugN01iBxVFpV+83g8VKWAq0ARjU41i2Q03YQrHNIRE1c+iJwEEPOJ7OxsHD58GFUMNaWlEwK+AHU/+hgHXb3YubMZAHDBf/6LvMXsaQ1nVmvQ/L8eAMBAoyPhJJkL7vF9RkYGtm/fjsWLF8NkMgVlIglhnsz8IBlglZCyGFO49Wcy5Yz6+nqMjo5GpJwRb1ypGC8en4+lv7gXb19xCQ7+9UksuGkDFFnhT9MJCC84Xm6RPDBJki+//HL6//PmzcP8+fNRVlaGbdu24YwzYndgmwpisZhJZzsWSRUBj8dLSHzEhnpt6Wk43HqYKlDI5fKYVQpYHTcWH1CpgNfrDToJIJqaOp0O+fn5UKvVdLG3Wq1f23GaCEaFAeAdSwLwBAJIdezpkGZUqun/99fbUX52Tko+l5gq6HQ66HQ6KjVH6pmbm5sxPDxMSZXRaEy61ByL6w+rxD2SuEKVM4aHhylpPnr0KHw+H9VA5ypnJDuuRKF4zVpkLTkJfV/uxt4//BYrH/ntlLEB7D5TWI0rGjBJkkNRWloKo9GIlpYWnHHGGcjOzqZHawTkWGaiOuZIIBKJmMwks0r2CGKNjzRtdPV34Z2mDwAA80Wz4Xa7E6JAwfK4sRZXMsbK7/fD4XBQUuxwOCCTyWjNeCqOSo8j9cjkyMANNDjSGMnYms7NRBI5MpPJhI6ODvj9ftogZjQa43LSnAisEYXpTJJDIZfLIZfLqXKG0+mE2WyGxWLB4cOHwePxgkxNYrm+qRwvHo+HZb+8F69ffB5q/v5XLFz/Y6jyCyZ8Pckks3g9ZwomfEK9/vrrGBkZgdvthtvthsfjGfdfl8uFhx9+OOlBdnZ2wmw2093j8uXLYbPZsGfPHpxwwgkAxurQ/H4/li5dGtNn8Hg8iEQiJmuSWdZJBiInWOEUKPh8PuwCJ4rU+XAF3Fi35sqEZXZYJcmsxhUviDQb17mQK802Z86ciK2IZ+oYxYPavka8Xv8uMr5q3fvit79G0cmPQZBGDehw18hYoaL/398Qm8JFomIJRagcGVFWGBgYQHNzM5WaI1/xykSyOIdZjikessfj8aBSqaBSqajLI5ES7OvrQ2NjI0QiUdD1jWQ9SvWmIn/V6cg9eSW6P92BL3/7a5z2hycnjQ04Xm6RTExIki+++GKIxWJIpVIIhUIIBAIIhUIIhUKIRCKIRCLw+Xw8+OCDUV8gp9OJlpYW+u+2tjbs37+fOjLdf//9uPTSS5GdnY3W1lbccccdmDVrFtasWQMAqKqqwjnnnIPrrrsOTz/9NDweDzZs2IDLL788JmULguOZ5NgwkY7zVAoUpaWlUCqV4PF4OH/FWlhGbAm92VndXbMYV6xa3G63O6iumEiz6fV6lJSU0Ot7HPEjEAig1XKEkmRTzYG0EmSC0OsrUYqgLVLA1j6EgQZHyjNx0bxWrVZDrVajpKSESs2ZzWYcOXIEBw8eDGoS0+v1MSmqsDj/WYspGWUDfD4fWq0WWq0WZWVl1FDKbDajo6MDtbW1ESlnpJokj2WT78Omc89Aw0sv4IRbb4e6KHyDLuvlFjMBE5JkkUiEHTt24MQTT0z4h3755Zc47bTT6L9vu23MgnjdunXYuHEjDh48iBdeeAE2mw25ubk4++yz8atf/SpoV//SSy9hw4YNOOOMM6iZyB//+Me44mI1k8yymQgQTOKJAgWpPeUqUITWnYZCL9MmLS6WwGpckYDrXBgqzZZIO2/WFn0W4ikzFAf9W5mXn55AIkBGlRq29iG4Br1wdI5AUyBPd0hTIlRqzu12U6m5uro6uFwu2lgaab0ri6UNLMZEkMy4BAIBJcQAaL06VzlDrVbT8gxSDpYOHeLc5Sdj7rXXI3f5yVAVFE34uuPlFsnHpAWBw8PDACbXS45l8qxevXpSkvDee+9N+R56vT4i45BowDJJZpVUeTweBAIBtLe3Y3h4GENDQ1SBIhI928OWdmQqjVCKk9MBz+q4sRbXRHOMHEmTTLHdbodIJIJer0dRURF0Oh1zDpXJQrqvmVwkg1p6rJRBxTBJzqzW4NC7YwoX/Y32aUGSQyEWi2mTGCklItbZpN6Ve3Qvl0+Pv5FFkpyOjGhovXo45QytVgtgjGCnmiyv/t3UST/SrMoi0r1eJgrjSDK5gQQCAXw+H4D06iWnCsdrkiODz+eD3W6nmcTBwUE6H0pLS6NWoPjx23fji859eObi3+P8yrMSGiurmwvW75+RkZGgumIizZaRkYGKioqUOReyeO3SDb1MCwt6YUMfypTpl3+b6BplchQuBhocKD8r+QoXySR/PB4PCoUCCoWCOsXZ7XaYzWZ0d3ejvr6eHt0bjUYqNccyIWUJLJQNhFPOMJvNaG9vh91ux9atW6HT6WhpRiKUMyKFz+MJW1rF4vyaaZgwk+z3+zE6OprKWNKO4zXJ40EUKLiZRLFYTMsn9Ho99uzZg/z8fOh0uqjeu9vRix1HPkMAAczLTrweLsskmaXyGY/HQ08Bdu3ahdHRUXrsGM6kJRU4vvCPh8Viwcd7X0E7mgAAr/4LeNX0BV588cWo771kI7M6WAZupoErNTdr1qwg0wsiNadWq+F2u+FwOJKi3xsPWLu/WCDJoSDKGUTAoKioiJbftLa2JkQ5IxLUPPMXfPn7R3H+/21GxrwFQT9jnSSzHFukmDCTnJeXR52K/H4//H7/jJdrEolEzOokp4pUEQcrQoqJAoVWq0VWVhYqKyvHZRJjJaOv1b2NAAJYVnACirSJPzpmlSQD6c3mkCwY9zSANOSWl5dDq9XO+Ht9OuL73/8+OgYOBX3vww8/xNVXX40333wzTVGFfxAauZnkxtTJwKXroRxqejE6OgqTyYT6+nq0tLTg0KFDlFAZDIa0NrSySKxYJMkEpKRhIuWM3t5eNDY2QiwWB13jSJV8pkL3Z59iqKcbnz/8AM7/12tBP0tHvfTXDeOehGTAW1tb4ff7sXPnTnz66acQiUTIy8vDkiVLUFLCnhVqIiAWi792meRoFCgSHd8rtWMP9m/OvSDm+CcDiwsukPq4uNJsxPKZz+dDr9cjLy8POp0OPT09GB0dpU1LLIDVDU460NzcjK1bt477vs/nw5YtW9DS0oJZs2alIbLwkChF0BbKYesYRn99ahQuWJovUqkU+fn5OHToEBYsWACRSASTyURNTYgUGWkCjFdqLhqwNE4ErJPk0LgiUc4gRliTKWdEgpN+djda/vsajrz7Nnq/3I3sJSdNGttxJBaTpotuvPFG/POf/4RSqYTJZIJGo0FVVRWeeOKJpKhepBus1iQnmiRzFSisVitcLhc9Xp9KgSJR8TWbWnGgtw5CvhAXV6+N9k9IWlypQCriIteYEGOv1wutVgu9Xj/hxoelsTq+8I8ZJPX396O3txcfffTRpK/dsmUL9Ho9dDodM2OXUaWBrWMYLocHg90jUOdNj8a2RIObhSRSczabDSaTiUrNKZVKSpqTbbLDIrGabiQ5FJEqZxDCHM011s0qR+UV30XDP1/A5w/dh4s2v0N/5vf7mRyzmYQJyy3+/Oc/48MPP8TmzZuxZs0aFBQUYOfOnfjb3/6Gn/70p/jXv/5FC9xnCljNJMfbuEfsgMkXV4GioqJiSgWKqRAL6SNZ5DPKToFBnhxrXVZJMpB4QkoevIQUk2us1+tRXV09pTTb8YV2cqRiLlEHyq4uunkFxjbvlZWVk/6uXC7H7t27aYNZZmYmioqKIBaL03ZtM6vVOPTeVwoX9Y6kk2QWyR8w/t4KJVREa5yUZ4yOjtIGMaPRmJQGMdbGiXWSHG1JQzjlDOIEyFXOIPNgKnv0E3/6czT938s4uu1DdH7yMfJPWRVzbKkCj8dj8npGiwlJ8ksvvYT169djzZo1cLvd8Pl86OnpwQMPPICCggL09PRQaZyZMBAA2zXJgUAg4rHmKlBYrVYMDg5SO+CSkhLodLqoFCgijS9SBAIBvFr3FgDgW3MvTFgcE30Wa0gE4eJKs1ksFtjtdkgkEuh0OhQXF8ckzcbaWLEWTzLgdrvR3d2NgYEBDA0N0RpDpVKJgoIC5OXl0et45pln4sMPP4Lf76O/LxAIcNppp+HKK6/E6OgoOjo6YDKZ0NbWhsOHD0MoFEKr1SIvLw+ZmZkJ0bDmYrJrlMGpS+5vtGPWWdkJ/ezpgEjmsFgsRnZ2NrKzs2lpFGkQa2trC2oQMxqNcUvNsfjMZjEmAr/fH/fzUiKRIDc3l5qdca9xR0cHfD4f3RgZDAaoVKqg8VAXFmPO1dei5tm/4POH7kfeO1vpc4TVcZspmDDfbzabkZWVBWAsk0nc9oCxCc1ixjVesKxuAUy8kJAMFDledzgcEIlE0Ol0tOY0UU0EE8UXDaHh8Xh447sv4rW6t7B29hnMxJUqxLqoEWk20lQJADqdDpmZmWEbKlMRU7LAWjyJAjnV6e7uhsPhoOVdUqkU2dnZKCgogFKpDJsdev7553HZN7+Dz3Ztp9877bTT8Pzzz4PH40Emk6GiogIVFRXw+XywWCzo6uqiR/vAmC2z0WhEYWFh0pvHMqs19P8H6lPTvMfavImWxHCl5goLC4MaxHp6etDQ0ACpVEprmWOpdWWRWLEYE0EyYiPKGQUFBQgEAnA6nZQ0t7S00J4Rrgb3CT+5E/UvvYCez3Zi4OB+ZC5YdLzcIgWYkCQXFBSgq6uLqlrw+Xx0dHRg+/btKCsrQ0ZGBgD2FqV4wHJNMnAsK0EUKLglFDweL2GEKZb4oiWjBZpc3LLi+iRFNAZWSTIQWYaJ1LURYuxyuah7YWFhYVqk2Y4jOvj9foyMjKCrqwtmsxkjIyMAxtQQ1Go1cnJykJmZGVF9ok6nwx+fehEnnfNbqGVD2PH6LRM26wkEAmRkZNB12uPxoLOzE/39/ejq6sLRo0dprWx2djby8/NjzpZNtM4EZZIbki8Dx+q9Hg9CG8S4UnOk1lWj0VAypdPpplwTWBynrxtJ5oLH441TzrDb7bBYLOjt7UVDQwMkEgn0ej0W/PJ+FJ60FJkLFtHYWH0GsDjPYsG4lZlMhtNPPx0tLS3o6+tDTk4OsrKy8LOf/QxDQ0P47W9/i7KyspQHm2yIxWImSTK5Cbq7u2kZhc/no41YJSUlaZUUYpWMTre4uIuj1WqFw+GAQqGATqfD7NmzkyrNxuJYsRRPNPeW1+tFT08P+vv74XQ64fP5wOPxIJfLUVxcjIKCAojF4tgfbiIDxKr8qNQsRCIRSkpKUFJSQkt1jh49CovFgqamJjQ1NVEJq/z8fBgMhrjXE4lKBE2BHPajwxhoSI3CBWtI9N8cTmqOZCAPHjwIr9cbZJ090XOBtevA0r0eilTPW64GN1HOIE2AQyechFqLDW07dsBgMDBlNDZTMSFJvuGGG1BbW0ulab773e/CarXihhtuoGUYMw0sZZJJMwfJFANAX19fzAoUyUQ0BOvDw5/gqc+fx7pF38IFlWczE1cqwT0Z4GpSW61WCIVCWiYzb968lEpDHUdsIEfinZ2dsNlstGRLLBbDaDQiPz8/YWYSiXhY83g8qNVqzJkzB8BYD0NfXx96enpgMpnQ29tLSX1mZiYKCwshlUpj+uyMKjXsR4cxavdgsGcU6lxZ3PFPBBbv9WRDKpUiLy8PeXl5Qcf2JpMJhw4dglAoDLLOlkqlTG5WWM+IpnO8BAIBjEYjlef0eDxjpVT1dbD5/HB7vdi5c2fQaUKiew++zpgwLWU0GrF69Wr675tvvhkAYLPZ8O6772LhwoXIzp5ZjRjpzCSHU6BQKpXQ6/UoLy9HTU0Ns6Qpmt3s/x18HVtaPkaxtiAlJJk1uFwuOBwO2O12fPrpp0HSbGVlZUlzbZoKrG0oWLx23PEZHR1FV1cXTCYThoeHgwwHiouLkZOTE7Mu6mTQqSVYd9k8KOSJe2+BQECbigKBAP3b+vv7ceTIEbS1tUEgEECj0SAvLw/Z2dkRP4QzqzVoeb8XwJjzXjJJMsDevEklwQp3bE8ykB0dHaipqYFSqaT16jKZjBnTIJbWnlCkmySHQiQS4fBfn8S+Pz2OxQ89Bvm8RSgsLITZbEZtbS1cLldUyhnHMTkiukOGh4fR29uLbdu2YcuWLdi0aRM2b96Mc889d0Y5vqSycS8aBQpuLTKLiJRgDXtG8FbTFgDJMxDhggXi5/V6YbPZaG3x0NAQJBIJ+Hw+Kisrjy9gkyDd144Ln88Hl8uF/fv3w+FwUBUcmUyGvLw85OfnQ6FQJP1a5mSp8NRDydEVB0AbAGfNmoVZs2YhEAjAarWis7MTVqsVNTU1qKmpgVQqhcFgmFINKDPEeW/WmTMrscIy+Hx+WKm5/fv3o62tDY2NjdBqtbQ0Q6PRpNUFkNV1kDWSDABCmQx+jwcNTz6BOU8/F7TJHRkZGaecodfraSNgqHJGsjBjJeAIvF4vXC4XvvjiC2zatAlvv/02nE4nzjnnHLz//vtYsWIFADA7sWNBMiXguAoUVqsVdrs9YgUKMtlYIg1cRBrbO01b4XQPoUibj5PyFzETVyIRCATgcDhoCQWRZiO14zqdDn19fbBYLNDpdCmNbTKwPL/SAb/fj6GhIXR3d8NsNmN0dBTA2DgplUoUFhZG3HA3nUHkx/T6MS1zj8eD9vZ29Pb2oqurCwCwf/9+qFQqZGVlobCwMKgBMIOjcNFfn9zmPRbnL0sEi0jN8fl8nHjiieDxeDCZTDCbzThy5AgCgUBQaYZcLk9Z7CxeOwIWCfyCGzbgwNNPYqj9CMxbtwDLlgMALZOaSjmDKKOk+jpPR0yok/zaa6/hnnvuQXd3N1auXIkHH3wQ3/zmN2f0Q0EsFsPhSIxU0WQKFBkZGZg9e3ZUk5NlEhNpbK9ybKhnyuLLtfUOlWbLyspCVVUVZLLxR8ysXktWkI5F2+PxBDXcEXklhUKBkpISKBQKOBwOavrQ3d1NtWtT1Tjr8/nhHPaAxwPUytSUXnGP7c1mM4aGhqgyh0KhoOorhw4dwqFDh+jmPz8/H4ZyTia5IfkycKw97Fm8z8kzXi6Xo7CwEIWFhXRzT2rSidQcmd/x2CpHCtauHQGLMmtilQon3HI7Pr37Z+j8x9/h++nPIAhzfSJVziAbI71en1S52OmICUny1q1bcejQITz++ONYt24dFArFjCbIQPyZZEKWyBepNyUGD/Ecc/B4PPj9/phjSyYiIcmWYSu2tI7pu6ai1AJI3sZiImk2vV6PoqKiKa8zixseFmNKhcOdzWZDV1cX7HY7LbWSSCTIzMxEfn7+uHKYnJwcVFRUjDN8IM015GGTSLMeLlqOWLH43Geh10px9PMfJeUzgGNmByaTiTaUGgwGlJaWQq/XB/19pDfF5/NhYGAA3d3dsFgs6O/vBwBIMvhwDfjRV2+fUeV5kYI1ghXuvuLxeNBoNNBoNFRqzmq1wmQyjbNVJtbZibyOLBJRApZOA7iYe+31+PKJ38HV14v6fzyPed+fWlJ1MuWM9vZ2HDx4EAqFIog0x7KWEfOzmYAJ1S2uvfZaDA0N4YEHHsCjjz6K0047Deeddx4WLVqEnJwcaLXaVMeadERrS+12u4MyiC6XC2q1GjqdDrm5uQmtN2WRxBBEEtvmhv/B6/diXlYVKjPKmYkrEhAyRa714OAgFAoF9Hp9TLbeLC64Xwf4/X643W50dXVhYGAAIyMjCAQCEAgEUKlUKCkpQW5ubkTJAO6RJpkfhDDX1tYGEYpk2AonGqSZixD/kZERWq86a9asiDLlAoEgyDnO7Xajs7MTTUX1cA244LJ78L9XtsBYrEVOTg7y8vIS2oXPIplhbc2O1P5ZKBQG6WwTW2WTyYSDBw/C4/EEuQAm4iSFtWtHwOK8AgCRXI6y79+A+kcfxJe/+zWqvnMVhGFOLSfDRMoZZrMZzc3N9NTo66ycMSFJXrZsGZYtWwafz4d33nkHL7zwAm655RZotVosWrQIt912G5YuXcrsBIoFU6lbhGvCUiqV0Ol0qKiogEaj+Vrp2BJEkuXOUWZhWcEJOL/irBRFNbVT4UTgSrNZLBbYbDYIhULo9XoUFBRAp9PFrTLC2rVkbX4lak3xer0YGBhAb28vHA4H1SyWyWTIz89HQUEBZDJZXJtZ4o5FlGi42rUdHR3g8XhBtZ6JUKiJ91KROU6Ij81mo5J15eXl0Ov1ca1lPB4PEokEZWVlKF/uhPnLQwAAkV2J4eFh1NfXo76+nh71FhYWprVxLJlg8W+KNiaurXK4OleBQEDnt9FojPrInmUewXJs+Rdditbnn4HbYcfAgX3IWbYirvcTiUTIysqiMr+jo6OUNH9dlTMmXQX9fj8EAgEuuOACXHDB2BH5G2+8gUcffRQ1NTUzjiQLhcIgkuzz+YKasAYHByGVSmkTllarTXqdFgHLouGREKxzK87AuRVnpPRviIYku1yuIMtnYtZiMBgwa9ashEqzsUZICViLKZZ4/H4/nE4nurq6YLVaacMdt0nWYDAkNRvC1a4lGsomkwlHjx5FXV0dVCpVkKJANA+ZeKYgcWsjzVput5v2SFRWViatgSej6lhdstJlwNJTy+Hz+dDd3Y3e3l709fWhu7ubNkVmZWVRw5Xp/GyJNGubSiQipnB1ruQk5ejRo6itrYVCoQiyzp5qw8Uyj2A5Nr5IhOr7H8HiM86EzJiR8PeXSqVBmyNShmWxWNDe3g6/358W5YxUYtKZSxbvwcFBjI6OQiKR4MILL8SFF1447jUzAQKBAL29vbjrrrvw6aef4sorr0RlZSX0ev2UChTJxnSvSea+NlWY7LPIqQAhxsPDw1Cr1dDr9QkvlYkmrnSBxZgihdvtRnd3NwYGBjA0NETrXhUKBZVnS9VmNhRcW+FZs2bB7XbTDNyBAwcQCASCjq0Tub6QjB8hxTabDTKZDEajEVVVVSk7Os2s4tpTjzXvCQQCFBQU0A78kZERdHR00MxkS0tLkLFORkbGlLGyTGZYQTI2wqEnKeTI3mQyobGxkZbuTJZ9ZPnasahuQeD3+6GZMy8pBDkUpIlZoVDQZs/BwUFKmsmJApc0z4QmwElJstfrxbvvvotXX30VdrsdBoMBq1atwjnnnENrlaYzAoEA6uvrsXXrVmzduhVbtmyB2+2GRCLB2rVrceaZZ6KoqIiJm5fV7CMwdWz/qXkdZ5SthEGuT2FUwZlkIsFHSLHD4aCnAqWlpUG61KkAi9eSpZgmu+f8fj8sFgu1aSenP1KplGYhVSoVkw82sViMnJwc5OTk0IeMyWRCT08PGhsbIZfLaQZusuaoia4V0cIlxJhopGZlZWHOnDlhlVaSDWPFMZJsahyvcEGUFiorKwEcq48mDoYDAwMAxjSpMzIyUFhYmDbTnWgwUzPJUyH0yJ7b5Nre3j5uYyiXy5kmyaw3FXLXiK5Pt8MwZx6k2uTLixLnTrVajZKSEqqcYTab0dPTg6GhoRnRuzYpSX7ooYfw0EMPYfXq1Whvb8fw8DC++OILbN26FX/605+gUqlSFWfCsXHjRjzwwAOw2+1YuXIlzjjjDFRXV2PXrl1488030x3eOExXklzX14Tr/ns7FCI5Wn7yGeSi1DykiXMYANTW1sJuH9No1ev1yM7ORnV1dVoIA8DmtWT5IUAyjd3d3TCZTBgdHaUNd2q1mjaLTTf1He5DprS0NCgDV1dXR5ujCGkOVw7Ble4ym82w2+1QKpUwGo2YN29ewuyw44FUI4I6TwZH1wj6GxxTEiKBQBDUNEaaLfv6+tDZ2YmOjg7w+Xx67fPy8iASiZgmWqwhleMUqtvrcDhgNpvR19eHxsZGSCQSyOVyeDweuN3utJ36TASW5xWXwH98+49R8+xfsOT2n2HZL+9LeSyhyhmsPeNixYQScMRZ79lnn8VVV12FDRs2QKFQ4Ne//jVWr16Np59+Gj/96U/h8/liOrLbvn07fvOb32DPnj3o6enB5s2b8Y1vfCMojnvvvRd/+9vfYLPZcPLJJ2Pjxo0oLz+mjGCxWHDzzTfjzTffBJ/Px6WXXoonnngCSqVyys9funQp/v3vf2PZsmW0kebZZ5/Fjh07ov5bUgHWa5InKgV55Stt5NNKT046QeaqjVgsFqpUQpQLWKmXYiGGcGBpfvl8PgDAvn37MDg4SBvuiLZrfn4+pFJp2glgIsHNwJHGOpPJhP7+fjQ1NUEqlSLAV+L804shlQhw8OBBWCwWagKRl5eH+fPnM3nEmVGphqNrBKNWD4b6XFBmRx6jWCxGSUkJSkpKaPb96NGjsFgsaGxsDCJaXq+XGVLzdc0kTwau1FxpaSk9Nejo6IDL5cKHH37InJoCK/MpHEiyAADyV52Gmmf/ggNP/xkLblifkhKMrwMmTL3U19dDr9fjiiuuADA2udvb28Hj8bBo0SLs27cPQOwP1qGhISxYsADXXnstLrnkknE/f+yxx/DHP/4RL7zwAkpKSnD33XdjzZo1qK+vpw+BK6+8Ej09PdiyZQs8Hg+uueYaXH/99Xj55Zen/PzFixeP+95U6hbpBIvZR4KJYvMH/Hi17piBSKJBrL25jZVEbaSyshIqlQqffPJJWmtSw4HFa5nuhwBpcOvq6oLNZoPL5QIA2Gw2SKVSFBUV0WaurwNIExtx97NYLLQZ8QeXjB2l2u12mklNlZlJrMioUqN1ax8AoL/BHhVJ5oJk3+fMmQNg7DnS1tZG9ZwB4P3334dCoUBmZiYKCgoglUrTMjas3eMAezGRUwOPxwOv14uFCxfS0oyamhp4PB7odDp6mpKORAfrJJnEVnr+RchYsAgDB/Zh7xO/x8m/eiTN0c0MTEiSSXaQHGFKJBJas2m32+lRdayTZ+3atVi7dm3YnwUCAfzhD3/AXXfdhYsuuggA8OKLLyIrKwv//e9/cfnll6OhoQHvvvsuvvjiCyxZsgQA8Kc//Qnnnnsufvvb3yI3NzfqmFgnydOtce/zo3tx1N4NlViBNeWnxf05pBGJZIq51t4FBQXjXKHIeLH2YACOxwQgSLN4aGiI1tcRYpiTk0Mbz3p7e9HW1ka1e41G47SoS40VIyMjlCyYzWYqsVVRUQG9Xg+v10vl23bv3g2xWBy3AUAywVW4GGgcROlpWTG9D1dJwWQyYWhoCBqNBkVFRTAYDBAKhejs7ITJZEJbWxsOHz4MoVAIjUaD3NxcZGdnpzwzyeIcZS0mQvZCpea4MoXcxjBCmlNRMjddSDKPx8OyX96HN791EQ4+sxEL1/8IiuycNEc4/TEhSSZHfh0dHSgsLIRQKER3dzdee+01HDhwAPfeey+A5KhbtLW1obe3F2eeeSb9nkajwdKlS7Fr1y5cfvnl2LVrF7RaLSXIAHDmmWeCz+fj888/x8UXXxz154pEIqZJMovECpg4tv/UvgEAuLBqDWSi2DJHRKeRlFH4/X5KlKay9mZ1YWMxrlTERCTIenp6YLfbqbslkRkqKCiAQqEIWlOIji7X5c5kMqG1tZUSQ2KbO91qkrnw+Xyw2Wy0tnh4eBgajQYGgyGoVCgQCMDnC0AgEFFLYe7vtra2oqamBhqNJq3Zt1AEkeQo7amJ7rTJZILFYgGfz6fjEs7dcPbs2Zg9ezYCgUBQA2BNTQ1qamoglUphNBpRWFiY1LFJd2lDOLAYExCeiHJPU4qKimhjmMlkQmdnJ+rq6iCXy5O+BrBMkkMdLAvPPBvZJy1D7+7P8OXvH8Oqxx5PY3QzAxOaicydOxcFBQXYsWMHrrzyShQWFuKxxx5Dc3MzfvzjH+Oiiy6Cz+dLCknu7e0FANodS5CVlUV/1tvbi8zMzOA/5ivDB/KaaCESiaJy3EslphtJdvvc2Fz/PwDAZVGUWhA7VEKKR0ZGoFKpoNfrMW/ePKjV6ojnHFfdgiWwei0THZPf78fIyAg6OzvptQTG7lO1Wo3c3FxkZGRE/GDjNgARO1WTyYRDhw5hZGSEHsuSjnlWH2wEw8PDlBRbLBaIRCIYjUaUlZVNmA1uO2rDvLP+BpVCjN69twBAkJEDcCwLTbKp3J8bDIa0lKxkVBxr8h4Io3DBBZcMmc1maolsNBqj6i3gmrgAY25ipAGwu7sbnZ2d4PP5UKlUVBWFtQx8osEySZ4K3MYwrtSc2WymUnNkY2k0GhMm48kySQ6NjcfjYdnd9+O/F6xB3fPPYNGGW6AuLEpbfKyOWzSY8Ok0Z84cPPfcc3TyXnjhhaisrMQpp5xCF9l0F9QnGhKJhKnGDy5Yb9wLje1gbz0GXU5kKTOwqnj5hL9LalFJttjhcEAmk9EOWZ1OF7fzF4vjxlpMiXS46+npQX9/PwYHB2n3tUKhQElJCa0Pj/fhFWqnSggnOZYl7nEkw8TCWsW1fiYqHTqdDgaDAeXl5QkrHyFugvn5+UHlCe3t7aitraVEgmjWpmKtk2rFUOVIMdgzioEwChdc22Oz2Qwejwej0UjLKBJB7EUiEYqLi1FcXExLt44ePUoteJubmyEWi6HT6ZCfnw+j0RjX2LBISFlbdwhi0SIOlZrjbg47Ojrg9/uDNoex3l8s6ySH4yr5p6xC/qrT4Gg/gqGe7rSS5JmACdmH3++nzTPDw8NQKBRYvHgxzGYzXC4X1Z4dHR2FSqVCYWFhwoLKzs4GAPT19SEn51hNTV9fHxYuXEhf09/fH/R75DiX/H60YD2TPJ1qkpfkLUTTLZ+gxXIEAv4xgkJce0im2Gq10gxBTk5OwqXZWCTJLD00uYjV4c5ut9OGO3L/iMViZGRkID8/PyUyZET1gpQfEDLa1NQEl8tFyWgqs8xchQqz2Qyr1UqP+isqKuLaAEZ6rUKNHrhktKOjAwDouCTKMnsiZFSpMdgzihGLG86+UfikLrqxGRwcpOS9qKgIarU6qdeIuMZVV1cDGNvA9Pf3o6enh8qTETWVjIwMFBUVpa0BMJFgkbgDiSHv3M0hV4OcqMNw6/ajmess6yRPFNtZT/8dUoMRghl+MpIKTKpucfPNN8NgMMDtdsPn88Hn81HdUnJxbDYbVq5cid///vcJC6qkpATZ2dnYunUrJcUOhwOff/45brrpJgDA8uXLYbPZsGfPHpxwwgkAgA8//BB+vx9Lly6N6XNZb9xjjewRTBSbUWGAUWGgBgeEGHs8Hmg0GmrvnezOfNbGjcVrGen4+/1+2nBnMpkwPDxMZYiUSiVKSkqQm5ub1vpgrs4u10qVZJklEkmQZW4is8zcI2CTyUS1jjMyMlBVVQW5XB7X+8d7n4Q2RhHxf1LjqVKpKIlI9OZGP1uJwx+OJTa2/HsH9AvFlBSnqwyEQCAQBJm8uN1uHD16FAMDA2hvb8eRI0cgEAig0WiQk5OD3NzciBwAAfYIKWvxAIkvaQjVICflWWazGUeOHMHBgwfpXDcajZNKzbF4skwwUZb7eMNe4jDhk0wikdAaP2CsjjD0SyQSwev1UqekaOB0OtHS0kL/3dbWhv3790Ov16OwsBC33HILHnzwQZSXl1MJuNzcXKqlXFVVhXPOOQfXXXcdnn76aXg8HmzYsAGXX355TMoWwPHGvVgRGtuoexTDzmGqQuF0OqFUKqHX61FVVQWNRpOy429Wx206xUSUFHp6euBwOGjDHTdzI5fLmTySDLVSJVlmYpnrdrvH1TJHA641q8lkgt1up81Ec+bMgVarZaLUIxx4PB61zC4rKwuyzK6pqaFufbEqCXBJuMlkgpVvoj8zBHJw6qq5TJIPorIwa9YszJo1C4FAAFarFV1dXbBYLKirq0NdXR1tKi0sLAxbtsLqPc7imCc7rtDyLDLXTSYTamtr6TpANojckwxWxwyYOsvtc7vR8NILyFl2MgxV1SmLi8W5HysmJMnl5eXYtGlT0j74yy+/xGmnHZMFu+222wAA69atw/PPP4877rgDQ0NDuP7662Gz2XDKKafg3XffDRLKf+mll7BhwwacccYZ1Ezkj3/8Y8wxsZxJZrkmGRjLoLW3t8NiseD2nb/CiM+F20+4ASvKThonzZZKsEiSWY2JwO/3Y2hoiJIC4lwoEomg0WiQl5dH5bamG8JlmU0mEwYGBtDc3AyZTDZldolLJon1s8FgQE5ODubOnZsaWaokvGc4y2yyOSKW2WRsJiL/XPJhNpup0UlBQQEyLihE61OfAgAGj3iYJR6h4PF4tGQFGFvrenp60NfXR5sAiXRhVlYW8vPzg47yWfo7WVt3uEjlOIXOdSI1Zzabcfjw4aCmT5ZJ8lT10p/84qeoefYvKL3gGzj3xX+nMLKZg0mfcuFuqHDf4/F4UU+i1atXT3rD8ng8PPDAA3jggQcmfI1er4/IOCRSsJ5JZqkmeWRkhJZPEKIgFovBVwqxz1oPX8CHBZXzkW2IrT48UWBxcWMxJp/PB5fLhS+//BJOp5NKC8nlcpSWls5IIw9ulrmoqIj2NJhMJjQ0NMDtdkOv19P6RaLZ7HA46FHt/PnzE9ZFH1HMKfmU4OPqkpKSoDKS+vr6oMybRCKhJMNut0OlUsFoNGLhwoVBajQjsmP9HqYpFC5Yhkh0TH6PbLSOHj1KlVYOHToEkUgEtXpM9s7n8zGzoWSV8KUzromk5sxmM7q6ugAAu3fvRkZGBnM65FON27wf3Iiav/8Vh9/8L/r370XmwvEmascxOSa9c8MNPos3WKLAciY53dlHIs1GSihGR0ehVquh1+shl8thtVoxf/58/PWLf8AX8GFx7nyUGYrTFi9BusdtIqQ7Jr/fD6vViu7ubthsNjrvBwcHIZfLkZ+fn/ba4lRDKBQiMzMTmZmZGB0dRXd3N/r6+tDc3EzrrjUaDebNm4fMzMy0lJfIZCKcd/osSMSpLeHgKgm4XC709PSgt7cXhw4domNDnPAyMzPDzhuZTgxlthTO3lH0h1G4mI4gGy1ScuhyuXDkyBH09fXBbDYDAD744API5XKq1pFueUIWx5ylucCVmistLcX777+P8vJy2Gw2NDc3Y3h4mEoSJqN2PxpMVW6hr6xCxTcvR9N//oXPH7ofF7zyespiY+V6xouvzxMwAohEIvh8Pvj9fubqCFNN9rjSbBaLBYODg5DJZNDr9Zg1a1ZQZ35fXx+1hH2llthQn5+yWCcDiyQ5HTERtRrScDcyMkLJjUqlQk5ODgwGA9WnPXz4MFpbW+nxutFonHGZZC5CndycTic0Gg0yMzNprTLRZW5ubkZ9fX1QLXMqSiwAIMuowH82XpKSzyLgKgWQTLpSqaQmL0qlko7d4cOH6diQucOV3sqsUsPZO4oRsxvDAy4oMmMzGWIF3JIdYo0tk8mQlZWFjIwMyGQydHd3o7+/H0ePHkVHR0fQPZebm5vSrCRLZJQLluMCgIyMDNrrxHXDPHr0KK3dDzffUxHfVAT9xDvvQvNr/0H7B++h57OdyFm2IiWxATODKMdMklmd1PGA1JF5PB7mSHKya5LJYk9Isc1mo/JRubm50Ov1QfXgXBDS12btwO7OfeDz+Lik+rykxRotWCTJqYDX60V/fz96e3sxODgIn88HHo8HmUyGgoIC5OfnQyaTBS2yMpkM2dnZCAQCcDgcGBgYQEdHB+rq6qiLm9FoZMLFLV6MjIwEmXkQ042SkpKwdfQky0w0dk0mE/r6+tDU1EQzhaRel8Umxmjg8XiCaov9fj/0ej3y8vIwf/78cWsBqfMGMM4ZUSQSHXNFm63E4Y/GFC76GxwomYYkmZzCDAwMUL3ryRRMysrKUFZWRhsZiblOQ0MDGhoaIJFIoNfrUVBQAJ1O97VS+iFglU+EUygJJzVnNptpXwN3vidbVjGScdOWlqHqu+tQ/8Lf8dnD9+PiN95LWjwzERGT5EAgAK/XC4FAAD6fH3RhWJ3g0YLs6F0u14SEMF1IRvaRSLMReTauNFtpaWnE0mwktle/yiKfWrwM2arMKX4rNWAxkwwk52Hl9/sxODiIrq4uWK1WqnMuEokowTEYDBEROB6PB41GA41Gg1mzZsHlOqZpS+SwjMb/b++8o5u6si6+Zbl3W8W90WzTCb2EUEO3wWRCIJ2UCWmTQiblSyGTZFLIkA6pE9KAhAQwJUDoofdebMCAu1XcqyzpfX947suTLHeVJ/n81mJNRpblq6ene88995y95VAoFE5jCS2UgWLWz8HBwZDJZOjatWub7veAgAAEBASY1OtqNJpGqhByuVx0c4klLKl0+Pn5QS6Xo0+fPm0K/M2dEVmW+erVqyiRlvDPyzmlQvxohVOsHbW1tfz9X1xcDHd3d8jlcvTo0QMymaxVSRWhmgjQcD+ykh6m0czKN5RKJeLi4uDp6Wn16yPG6y3WGIL1ATU1NvPafaFFvLnUnC0kJ1t73QY/+wIurfwReXv3IPfPXYgePbbF3yEaaHZlY0FUZmYmTpw4Aa1WC3d3d0RGRiI5ORkxMTGIi4sT5c3dHliQzCSuxIREIoHBYOjQa7AvMAuKKysrERAQgJCQkA5Js7Gmwl/OrgcA3N4npUPjtCZiDJKtOSadTof8/Hyo1WpUVVXxDXf+/v6IiYlBVFSUVcokvLy8EBUVhaioKD6T1pQltJ+fnxXeWccx10guKSnhDQVYyZA1jrqF9brCLDNThWDBpjXqF3Pyy9Hn1i/h7enO21K3F2Fwr9FoTFQ6+vTpY5XgXmiJ3aNHDyh1+bi69AAA4NK+azD20/DXxtFayUJY1pcpn1RVVfEnKW3ZUDWHVCpFTEwMYmJiwHEcampq+AbAa9euISsrC+7u7ggODkZUVBSUSmWHAyyxBqNiHhfQ+o2FuUW8UAnn/PnzjYyNOmqaw+b7lgiIiUXv+x5EyeUMeIfI2v332oIYP8/2YDFI5jgO2dnZ+Oqrr/Drr7/ixo0bCAkJQVBQEPR6PWpra+Hm5obBgwdj9OjRmDhxIpKTk+09dqvDJmgxuu61J7Bi2SGWLS4rK4OnpydCQ0MRFxeHkJAQqyxKEokERs6I525+FGvO/47pibd2+DWthViD5PbCGigLCgpQVlbGN9x5e3sjPDwcMTEx8Pf3t+lxv5ubG78QJCYmmtRkXr58Gd7e3lAoFLyMmj1LD5hCBVuYmPUzy/rZul6wpSwzK1tggWF7AtH6eiOkbm1XuhEG8EJN5/Zki9tLVF85/9+e5QHo16+fiWV2YGCgSQBhz3unvr6evzas6U4mkyE+Pt7mATxz90tMTERiYiKv582cLDWaBo1pHx8fyOVyxMbGtitQF3MwKtZxAe2fs82l5timXavV4tq1a7y8IJsP2qPT3tqxjXzzXXLgawcWg+T169djwYIFGDx4MN555x2MHj2a14hkXLp0CRs3bsSqVatw5MgR/Pjjj3YZsC1hk6AYFS5aG+zV1NSYuNtxHIeQkBAolUokJSXBx8fHJsd3Ekhwe59U3N4n1aqv3VHEGCQDrS+3MBqNqKmpQV5eHrRaLWpqagA0KDEEBAQgMjKySTUBeyG0hBbKqJ0/fx56vd6mpQcs8GPZ4tLSUl7rODEx0erHm23FPMvMGuDy8vJw8eJFPsssl8vbJCXX2vuHGcGw68M+D3tqOgvxCfWEf5g3Kotqob5UzqsIsJIeNtZTp07xGsvsn63uHeGmgX0e/fv3t2gQYi+Eet5Aw5qUm5sLlUqFvLw85OTkwM3NDQEBAQgPD0d0dHSrTkXEOBcCrhskCzE3NmLN8RqNBvn5+bhw4QI/d7F/LX2mbbHMpgC5fVhcWT08PLB792706NGDf4yVILBuyqSkJCQlJWHhwoXYsGGDfUZrYyQSCdzd3UUZJDfVuFdfX4+SkhI+KBZKs8XExCAgIMDm2RixaTgLEePE21LgrtfrUVhYiKKiIlRWVvINd76+voiPj+c1i8XYHCaUUWNBiFqtRn5+Pi5dugR/f3+ToLA9n48wO6vVannr57CwMPTs2bPD1s+2wtwqV9gcd/r0aXAcZ7KhsNTw09LlYsYILPArLS01cQC0d2bfEorkQFQW1aJao0OVug5+iob3aW6ZzQKIvLw8XLhwgb93OlK2wjK0arUaWq0WOp3O6iUmtsDDwwMJCQlISEjgN1s5OTkoLi5GRkYGMjIy+FPC6OhoyGQyi98tMQejjr4vLWHL6+Xm5sbXqHfr1s3kFOzKlSs4deoUgoKCTAx8zK9Re65btVqF40veQ9igIegx+3ZrviWXxGKQPHXq1MZPtJCpYruYGTNmWH9kDkKshiIsEGVC5yxbXF5eDl9fX4SGhqJ79+4IDg62e1bxeOEZbLi2BbG9EhAdJC7PeDFmks0nXZZRyM3NRWlpKV/uw+pno6OjRRHctBVh6UGXLl1M3NhOnjwJiUTCB4TNZU1YwMR+t7y8HH5+fqIK/NqDh4cHwsPDTdREhEEhM+VoqfRAmL1ngR/bNPTq1cvu2eKWUCQH4truBoUL9cUy+CkaN/kKG0eZZTYLIITNkSyAaO49mku0eXl5QS6XIzk5uUlXRTHDNlu9evUC0BD4FxYWorCwEBqNBoWFhfymWqlUIjY2Ft7e3vy8I9YgWYy0tubXGggTDEBDsyib806dOmVyz8tkMvj7+7criL/40/c4/fmnCIyLR9cZMyG1URmRGO+z9tBsNMWO5+rr66HX66HT6fhArbKyEkOHDgUg3t1pW5FIJPDw8BBVTTLLDJWVlaG8vBx79+6FVCpFSEgIoqKi0Lt3b4dnP348+xvWZm2G+wEv/GfKIoeOxRwxBslAw+ealZUFjUaDqqoqPiMQEBCA+Ph4REREiKaJyVoI6/PYZo81KZ07d85EYs7T09Mk8GNZ1sjISIsSZM6OpaBQuECy0oN6Y0MwyHEcrl+/Dq1Wy2vzyuVy9OzZs0nLaLGgSA7k/1t9qQLxo1tWwvH09DTZUJhL8LH3L5PJEBQUZKLrXF1dzdelJyYmOtzMw9pIpVK+qZbjONTW1iI3NxdqtRrXr1/HtWvXeCOcwMBA0c6HYtzoOjK28fb2NvlchaVBTGpOr9dDrVbD09Oz1XNi34cW4PSyT1B+4zou/LAcfR542MbvxLlpNkgeMGCASc0LKzyvqKhAXFwcrl69CsB1dgyAODLJdXV1JnXFer0e3t7ecHd3R//+/e0qVt4SlboqbLm6CwBwh8jqkRliWBRYbWhBQQHKyxssea9fv85nE+Pi4uDn5yfKhcIWCF2tunfvjurqauTm5iIvLw9XrlwB8Jd0XZ8+fZw2W9xezBt+SkpKkJubi2vXrgEAjByH3NxcKBQKJCUliUZRpDUokgL4/1ZdbLs9tXlzpF6vR1FREfLz85Gbm8uvWQEBAYiOjkZERIRobIRtDdNB7969O7p37w6O4/jGSHYCCQC7d++GTCZDbGxshxUWrIEY5mhLiCUBaH7PM4Who0ePoqCgAJcvX+YNfljDdFMnyh5+fhi08EX8+c+ncPT9t5E09y54iLRETQw0GyS/8847cHNzg1Qqhbu7OziOw+XLl7Fy5Urcfffd9hqjXfH09LR7JlkozVZcXIyqqioEBAQgNDQUvXr1QlBQEAoKCqDRaODv72/XsbXEpkvbUaOvRYSPEoOi+jt6OI1wVCbZaDSiurqab7irra0F0HCkFhQUhJCQEL6evLCwENXV1bwihDXkpZwB4XFicXExJBIJryYglUpNJLhCQkL46yO28gFbYMnJzdvbG1GRYRgxMBxSNwk/LxQUFJiYF4j9BEKR9FcmWXOp7UEyAJPyFFaCExgYiPj4ePj7+/MNzJcvX8aNGzf4a+Msmt4dRSjTqFarUVdXh9DQUISEhPDlOQUFBcjLy+MlI8PCwhAbG+uQDYVYglFzxDoupjAkkUhw0003wd3dnT95u3DhAmpraxEcHGxyuiJ8H73unY9Tn32I8hvXcebLpRj41EIHvhtx0+xsceedd1p8fPjw4Xjrrbfw5JNPin5Cbiv2aNyzJM3GXJcSEhIs6reKtTlu1dl1AIAxymGinEzsGSTX19ejoKAAKpUKlZWVfEbLz88PCQkJiI6Otngkxow61Go1srKy4OnpyRt1OGPNZFMw62dWQlFVVYXAwEDI5XLEx8c3ymixLCprRHNVdzsGaypjGwemqWqeLd62oh//O0I9X6GMmrCWWWzfS1+ZF/yUXqhS1UF1ofVBMmvYZE13RqMRMpkMMTExFm3T4+PjeQMZoaY3M5BxtQ2pTqczkbBzc3ODQqFo0vCEfbdycnKg1Wpx+fJlXL58GR4eHggJCeEbAO0x/4g1GBXruICGsbEyFWE5EvBXHb651By77319fTHkhVewfcEDOPHRf9D7/gfhFRTs2DckUtq1pY6MjMSOHTtQW1vrUkGyRCKBp6enTcxEqqur+fKJkpIG16mQkBCEhYW1SppNjLW1hRUq7L7WYAxwi2Kog0djGVteNxb05eXloaysjD+B8PLyglKpRHR0dKtkvYRGHcJF/eLFi3z3PQuabWlxagvMzTyYU19CQkKrJI4kEgn8/f3h7++P+Ph4i7rD9rKAtQVVVVUm14c1lbVWvk7o4iaUUdNoNMjOzuabI8Vm1qFMDsQ1lRrVmjoThQshTSl1tEXXmd1vcnmDPrO5Ti37eWslt8SEsE5VrVajvLycb/aMj49v0TqefbeYx4HBYOCVaIqLi6FSNTRX+vr6QqFQIC4uziYSouy9iDEYFeu4gObl6YSynGwjzcr9Ll68CG9vb4Qm90Zgtx4ov5KJk59+iGH/t8jqY3MFmg2S1Wo1amtrUV9fD51Ox9fKLl26FAMHDnSZDJcQazXusaN0li2uq6vjj9nbUwcmxiD51/MbYeSMGBzZH+HeCkcPxyLWvG5GoxE6nQ55eXlQq9WoqakBx3GQSqXw9/dHQkICIiMjO3ScK1zUExMT+UWQSaixRVChULS4CDoCYZDPdJ3ZsV+3bt06nLkz1x1mR+45OTk4f/686LOowuuj0WhMzE6s0VQmlFET6rCyLLNQUsqR10eeHIhre9QAAE1GOfz+pwdsfn1YNt1aSh1Cy2zhyQZrHmX3j0wmE/39o1ar+U20NRpapVKpSXOkTqdDTk4O1Go1srOzcePGDUilUgQGBvL3mLViALEGo2IdF9B6DWfhRrpr1668IZVGo4Fs7t2QHD6Iun6DkJmZCZlMZrX+D7Fet7bSpOOeRCJB7969oVar+Qvm5uYGvV4PqVSKXbt2OVWzSGtpb+OeUJqtuLgYFRUV8PPzQ2hoKHr06NFhabamdJIdSVltOXzcvTG75zRwNeIaG6OjX1TWPVxYWIjy8nLeGtzX1xfR0dGIiYmBj4+PTY78zZs1hMepN27cgLu7u4mEmiM2rSzbx7JzzPpZLpeje/fuNq0BNVeEYFlUtqi7ubmZXB9H1aIKjz6Li4v565OYmNhsg40lCtWVGDj1G0jd3JB9+Ilmn2uuw8rKeliWmdU1tiTBZwuEdcn5Z4vhFlfL16YLr48tzWDc3NwQGhrKG2WxGnnW6MZq5Nk/R51SCMuxiouL4eHhYXMJO4lEAi8vL3Tr1g3dunUDx3EoLS1Fbm4uSkpKcP78eZw/fx5eXl58A2BHzVfEGFSJOUhm5ZdtXXvc3d15o5rk5GST+/7MmTPQ6/Um1tmuVJLUHizOzuyCbNy4EXq9Hu7u7pBKpZBIJMjOzsa6detQX18v6huovbQ2SGbBAQuKS0tL4e7uzou5h4aGWnVSFWMm+f/GPIUnhz8IXZ0Op4+dEuX90NbrxuQN8/LyUFJSwjfcsTq9qKgohzX/eHp6mmQJWTYgMzOTb8xhQaEtm9ss6fKKQWLLPIvKsoRXr17F2bNn+Yy2QqGw6RhZIy4LSGtqavhFp3v37h1Sp+E4oLS8DlJp239fWNZjSYJPmIW35SmF0WiEd9Rfr312VwbcB0XwGytHqfcIJbeEWXh2SsFOcVgjlK1q4VnPilqthkajQUVFBQIDA6FQKNC1a1eHBC0SiYRXowEaTkqZNjNTFmHlG2FhYYiJiWnT+ifGtQOwr05yW7GWG6DwvtfX1aHmf/KTzNREKpWabKZdTX6zJZpd6QcPHtzosQEDBqBnz56YM2cO0tPTERMTY7PBOQJPT88mg2RWbsLqitmOKzQ0FN26dbPp5C7Wxr0AL3/UoQ6AeCe6loJknU6H/Px8qNVqVFVV8ROjn58foqKiEB0dLZpaTgbLAspkMvTo0QPV1dVQq9V8c5ufnx+vBtHRDI+w9lGr1fLWz2I2ZBBmCdn1YUHr1atX+dpfJpfU0fHX1NTwr8+yoSwotsWmqqP7ZXMJvtraWv7zvX79uknZT2hoaIezzEz3mTXd1df/9Qa8KgMtrjWOxDwLL9StFrojsuCho4GD0AmQ+RM015ToaDw8PBATE4OYmBheiSUnJwcajQZXrlzBlStX4O7uzjcAyuXyZr9jYl47xDguwLqW2cUZl7Dv//4JH4UCE5d9w+v1C5MN2dnZOHv2LC8111nUYtr17jw9PXH16lVUVlZaezwOR1iTXF1djerqaj4oZt34ISEhvDSbvXaZYsokGzkjMtRXkazsDuCvL6lYxifE0nUzGo0oLi5Gfn4+ysrK+E2Rl5cXnwWxh523tWAKGn5+fnxzGwvYmLMdC5hbW3bALJNZYMDcnsTq4tYSwkYWYUBy4cIF1NfX88FOawMeYSZfq9Wiurqaz1TbMhtqq/Xa29sb0dHRiI6ONlkYs7KycPbsWROjl9ZkMoWW5EyijdlKs6P50/INqNbooMkQ/zpirlvNHCALCgpw6dIl3gGyLTWdtbW1/PUpLi6Gl5cXFAqF07lIsvknKSkJQEPAr9VqkZeXh9LSUqjVDbXnrOkyNja20fdDrMGoWMcF/FVuYY3x1VdVInvHH4BEgpuefBay5J4AGpckCdeFS5cuNVKLYc6gEolEtNetrTS7Wp49exYlJSUwGAx8415ZWRn++9//8gL/roRer0dVVRV++eUXfPnll8jKysKqVaugUCialGazF2IKkvdeP4yUH+/BzfHDsOGu7/nJXCzjE8Iy8FVVVcjPz+ebyVjDXWBgIN+s4io7Yg8Pj0bOdmq1mi87EGoO+/5PRF7YBKfValFWVsYHNa1VEnAWpFIpX5MnzJILAx5WliHMwtfU1JjoOrOa8K5duzq05tnaWKrVZZuua9euwd3dnV8UhVlmYRkOy4Y255KoSArEjX0aVBbWoqZEB58QcWVLm0JYC9+lSxcTxZXz58+jvr6eL32SyWSNvmMsMK6srERQUBAUCoVDy0ysjVQqNbFXrqurQ15eHlQqFXJycvh6eDb3Mkc5Mb53sY4L+Gts1hhf2E2D0GXGTGRtWIfD/34dU3/42eLzmPmVUGpOWMfPnEGZnK0rYHFWZ8fN8+fPx/Hjx/kGPalUCi8vLyQlJeGjjz7iL5SzwnEcrl69im3btmHbtm3YuXMnqqqqkJCQgLvuugtTpkzhd8eORkyNez//Txu5a2icyZdULOMDwLtwlZSUQKVSISsrCxKJhO9sj4mJgbe3t8sEfk0hPFYXlh2o1WpkZGTA09MTHh4eqKtrKJmRyWSIiopySetnS5g3R5pn4TmOg5eXF58oYBlVR9WGMuz5XWsqy3z16lWcOXOGlwWrqanhy3Bakw2V/y9IBhoULmKGye31lqyKueJKZWUltFotVCoVLl26ZPE7FhcXB7lc7lSSc+3Fy8sLXbp0QZcuXfiNQk5ODoqLi3Hp0iVcunQJQMOc7evri5CQENEEps4QJFuLYf+3CNc2rUfWxnQUHT+KsIEtl0AJ1WKEiZby8nLRXre2YjFIZhPbxo0bUV9fDw8PD0ilUj7DIETMN1FL3HLLLTh06BBGjhyJiRMn4sUXX8S//vUvjBgxAo8//rijh2eCWGqSq+trkH5xKwDgjj4zAYij3MJoNKKiooJvuGMLkru7O9+Myep0FQqFzfQ+xYzRaERdXR10Oh1fYsIacoVZCalUKroaY3thMBhgMBhgNBp5oX43Nzf+/zt6IyiGe5ZdB+E9w8bFrh+7hs0FyUKFC/WlCqcNkoVIJBK4u7ubHDmzf25ubqivrzeRVHV3dxfFZ2ovhM19UqkUKpUK9fX1cHd3R2VlJY4cOcKXbyiVSsTGxsLLy8uhm1Gxfj7MrMpahCYmIfGOO3FpxQ84+MarmLluc5t+X3jCIoZYxVo0ez4YFhbW6DGO43gZODYRtFeKxJxFixbh9ddfN3ksMTGR32nW1tbi2WefxapVq1BXV4dJkyZh6dKlFsfZGj777DN06dLFRMrOEbbUrUEs5Ra/Z+xApa4KscHRGBYzEIDjgmShZnF1dTW/KPv7+yMmJgZRUVF8wwvLEKrVapw4cYJvTFIoFDaVmXI0woYsZv0sl8sRFxdnYi4hdG5jagdCNQhXlHsE/jKEYWUUVVVVfLY4ISHBROXBUtmBvSX4PNzdMHRAJCSw38ItlI7TarX8+zZvShSqegjd7dg1Mi8nUCQF8P+tvtg+e2oxwOTR2PxSXV1tovbCvjuswY3da1euXOEbPFnpiquU7JjD5CtZ46aHhwcUCgV69+7NnzhwHIfa2lq+AfDatWvIysqCu7s7goKCEBUVxQfX9oJtlMWILcY25PmXkfnrz8jdsws5e3Yi5pZx7R6bq2DxG3njxg2UlpbyDRbCD0IikfBHRLW1tbh27RpWrlyJu+++G927d+/wgHr16oXt27f/NUDBpPH0009j06ZNWL16NYKCgvD4448jLS0N+/fvb9ff6tOnT6PHbOW411HEEiSzUos5vVMa7WJtPT5W81hQUICysjL+c/L29kZ4eDhiYmLg7+9vceIwr9MtKSmBWq3GpUuXeEF+lmUWWyd5W2DvjS3E1dXVvIGEedAnxNy5jak1sFpmb29vPmB29vpkpgvKaouZUkhLLoDmZQdCCb7a2loTCT5Wh2ptQoN9sHPVXTZ5bYZww8QkyJraOAhhUlEymQyJiYkmAeHVq1cbBYSmmWTnCpJZAxO7RgD4Mpym1ECEDbasgZR9V69cucJ/V9mmS4xmQa2FSaSy+uuysjIEBARAoVCgS5cuFkuVJBIJfHx80KNHD/To0YNvsGYNgGfOnAEAfi6KjY21+TUScybZFmMLjI1D7/sfwpkvPsO5/37V7iDZlWiy3OKhhx6Cu7s77rjjDgwfPhxyuRxubm7Q6XSoqanBtWvXcPjwYRw+fBgSiQR33nmndQbk7m6x1rmsrAzffPMNVqxYgXHjGj64b7/9FsnJyTh06BCGDRtmlb9vLcc9ayOGmmRVpQY7ru4DANzRdyb/ODtOtPb4jEYjampqkJubi+LiYtTU1ABouEcCAwMREREBpVLZ5uyLUD5N6GqXl5eHixcv8pqkLIMq1kmSYW5W4eHhAZlM1uyC3RI+Pj587bawIcvcClqM8lTmCDWBtVotKisreU3g5oK+5jC/h5h9slqtRmZmJl+b6yybCvOgjzXgxMbGtvszFtYrCp3ihFlmz0ApdOUGpwiShZ9xaWkp3+DZv3//dsksmltmCxtDmWW2cFPhDN8zpmahVqt57faIiAj07du3zb4BQjMgoOEezcvL43WZc3Nz4ebmhoCAAISHhyM6OtrqNd7WLmmwJrbScB70zD8R3LU7et073+qv7YxYjC5iYmJw5MgR/Pjjj1iyZAn++c9/8l9WVpxdU1ODPn364O9//ztuv/12qw3o8uXLiIyMhLe3N4YPH463334bsbGxOH78OOrr6zFhwgT+uUlJSYiNjcXBgwetFiRTJrlp1l3cDANnwMDIvugmM+1ctdb49Ho9CgoKoFKpUFFRwU9Svr6+iI+PR0xMDDw9Pa02OZg3btXV1fGTfFZWFi/LJKZgh0mYsQWVWRtbw6zCEu7u7ny3urA5Izs7GxcuXOCzX2LaVDD3PRYYN1VmYi1YhjAuLg56vZ7/22fPnoXBYDDZVDjKuU0Iy/SxoK+srIwP+vr162d1eUvzgJBt7PxiC6A7Z0B5bg3OHD2HiPgw0ZQ/CYM+ZgpjSxlEHx+fRg2SWq0W165d42X4xGApLoRtrtg1YoFtjx49rF6C5OHhgfj4eMTHx/MNkjk5OdBqtcjIyOAbkYXazB29Rp0tkwwAvsow9H3okQ69hlivWXtoNgV311134a677oJGo8HRo0eRk5MDd3d3REREYMiQIZDJZACs92ENHToUy5cvR2JiIgoKCvD666/j5ptvxrlz51BYWAhPT08EBweb/E5YWBgKCws7/LcZYs0ki6Fx776b5iA6MBKeUstHie0JklmWjx2psWvv6ekJhUKB6OhouwanXl5e/EIl1NNlGVQWDNrTxlcY0DDrZ29vbz6L2VZr445gbgXN6nTZpoJ9bgqFwq5ar02VCDAlAXsGFe7u7iZqBxUVFfxJxYULF/hj5/YEOxWVdbhp6jcAgNNbH4KvT+vvQXY/s2uk0+kQGhqK8PBw9O7d267a10y3On6QGiXnrgEAKm7oUF6Xgbq6Or6ml0mo2euzMzc9YUGfrS3WzRHK8DGzF/bZZWdnQyKRmMjM2XPjVVNTwycSSkpK+M3VgAEDOmxc1FpYcqNnzwY9X4PBgKKiIhQUFECr1aKoqIhPrigUCsTFxcHb27vNY+uMQbIQQ309KrJvILhrtzb/rlivW1tp8RvPcRzkcjmmTJli8WeA9S6G8G/07dsXQ4cORVxcHH755Re7TeBiDpIBx35pPaWemJo43uLPWhskG41GvuGO1cyyBgTm8hMVFSWKBhZzPV2mccoa25jeMFPLsCZMe5VpULKARqFQICkpyWHWz+YI63SFQdj58+d51zBbZVBZMxCrLQb+kteyRba4PUgkEgQGBiIwMBBdunQxGTPTixVavra08fL380RVdT3KKupwI68Myd2aV4Sw5ASoUChE45QobN7zqwlFv5EDTGqZL1++bHV3RCGWameZPri9N1fN4e3tbWK5zsxMhJbZ7D6y9imAcO5jrqRs7ktOTrZZ/X1bkEql/PXhOA51dXXIzc2FWq3GjRs3eBfJoKAgREREIDIyslX3kZiDZFtbZhdfuohNd94GY3097jp6FlIRnIA5ghYjkeZuEFvfPMHBwejRoweuXLmCiRMnQqfTobS01CSbXFRUZFW9Zk9PT1E6CQoNO8T4pW0uSGbHzwUFBSgvL+fLWYTHi76+vqIoZWgKYQaVNbaxRSMzM9NEXq49CyvLOLLgoKysDL6+vpDJZOjZsyeCg4MdHtC0hHBTkZSUxDuusVpvlkFVKBTt0hhm2WJ2jcrLy/naYtZkLMbvhhBPT0+TYIdlv7OyskwURSypQQAN92F8TBBOX1Dhek5poyBZqGPMNqH2cAJsL+bNe5aa29jG6+LFi9DpdHyWub0NksLGXY1GY1I726dPH9Hrgwsts7t27cpnv7VaLc6cOcOX97B/7dnAC0/R1Go1f4oWHx8ven1niUQCb29vdOvWDd26dQPHcSgpKUFubi5KSkpw/vx5nD9/nj+Ni42NbXLOFut6C9h+bAGxcaivrkZ1YQHOf/df9H14QavH5ejSUGvi+HRdM1RWVuLq1au4++67MXDgQHh4eGDHjh2YPXs2ACAjIwPZ2dkYPny41f6mh4eHaGuSAcdIqxg5I2b8cDeGxQzEE8MfRLB3YKPnCINk5nCXl5eH4uJi1NbWAgAv5RMZGQm5XC6KbHF78fHx4W2OhXV5J06cgJubGx8MNldfKVzctFotv7hFRETY/fjb2ghrvbt06cLXCKvValy/fp2XEWvtNWKlJqyhLCYmxu7HzNZGaPTSvXt3k6wvU4NgpT3Ca9QtLgSnL6hw4bIWU8Z2M8lOsxKBjjZu2gtF8l9ziSajotHPzU9zqqqq+PtI2CDJ7KCbu49YUCyUsUtMTBRNDXR7MbfMZptt5iDJNttyubzZzTaT+mOlJqwfw9kdN1lpitBauaCgAIWFhSgoKEBeXh4vHRoWFobo6Gh+XunMQbKHry8GL3wRexY+iWP/eQfJd94DDxeVAm0OUUUpCxcuxIwZMxAXF4f8/Hy89tprkEqlmDt3LoKCgvDAAw/gmWeeQWhoKAIDA/HEE09g+PDhVmvaAxomHGa0ICbYl8FoNNp9Qj+YfQz7bhzBmcILWDjqUYvP4TgO+fn5yMzMRGVlJX8U5Ovriy5duvANd66I0KpT2OyTkZHBZ6lYDapQfqy8vJw/JnX2haglvLy8TDKoLJNnfo1kMhkf9Gm1WpSXl/PH3/3790dgYKDLXiOhoogwg8pkClkNau9EGX7bDOw+cBk395eYyGuJqUSgNQRG+cDT3x26Sn2LChfMiMLf359vkDTPMgvrdA0GAx8Ys+9acxJkroCwvIc5SLKyLaFlNtt4AeCzxexkRqFQoFu3bqI7dbAWHh4efIKDbbxyc3P58p7Lly/Dw8OD76kQ63xjD+WNnnffh5OffoDy69dw+vNPMejZ523698SIqILk3NxczJ07F1qtFgqFAqNGjcKhQ4egUCgAAB988AHc3Nwwe/ZsEzMRa8Lc2cSGIzPJq86mAwBSkifDx6PhKJIFg3l5eSgrK0N9fT3y8/MhlUp533ZXDmiaQthw06NHD5SUlCAnJwdXrlzBxYsX+ePksLAw9OvXT/RHu7ZAKJ/GjBhyc3P5awSAd9zqLPbY5liqh8/JyUFWVhb83EsAAIdPFSEgcDD69OnjtKcOEokE8sQA5B8vQcn1KtRX6+Hh27plyZLqSm5uLrKysngDKh8fHyiVSqe+Rh3B3DK7oqICubm5uH79OjIyMgCAz8b37t1bFPXF9oRtvJKSkgA0lJmoVCpkZ2dDo9HwzfKlpaV8nbpY+kHsYXQi9fTE0Bdfxba/348THy9B7/kPwTsktOVfdCFEFSSvWrWq2Z97e3vjs88+w2effWazMThD4549qdXXIf1Cgz3lzB6TceXKFV4OieM4SKVSBAQEIDY2FhKJhM9a1NTUQKlUtrtG11kxd3CrrKxEUFAQYmJiEBQUxKtBXLt2DXl5eQ5RgnA0QsUHluXz8/NDVFQUgoKCoNfrodFokJOTg7y8PJOyDGcu0WkLzJ2NXaOSkhL4+PggPDwcPXok4t9fXkdpuQ479maiV0G+U+lWm6NICkT+8RKAAzSZFYjoH9Lq3xWqq7DGxLCwBhk5ZkZRWFiI3Nxck1rmzhQwM7dR9o+VgzF1KqZfza4Ru5dcNZNsCfMabI7jEBYWhpCQEL7/JCcnB9nZ2ZBKpQgMDOS1mR1VqmMvDecet83BiY/+A+2Fczjx0RKMWPRmi7/jSvdN51hx2oCYdZIB2FUGTq/XY+vpnajQVUHuFQpJbj1y3HL4Y+Ho6Gj4+PiYBHfx8fF8o55KpeJrdFnAHBoa6nLBoNAEoLi4mDcBSEhIsGgCYC4vd+7cOd6gg5VliLmOtD0IzSq0Wi2MRiNCQ0MRFRVlMVvMyjJY6QozoBCWrrhaoGPeUMZc/CypCMyZ0Qul5XW45eYhiI3wglqt5nWrWTOjXC53Ctc20+a95oNkoU63Wq3mN6FNNSaGh4fzmroajQZFRUXIyMiAr68vf41cscyJbbCEMm0KhQI33XRTo6RFWFiYye9otVpcvXoVHh4efOmK2Gvb24O5VTbrAbBU+sYaAMvKynhzq4sXL+LixYvw8vJCaGgoYmJiEBISYrfvm70ssyVubhj28uvYNG82ii9daHUttNjnndYi4VypDdEKfPrpp1i3bh3Wrl3r6KE0YteuXRg6dKjNjsSMRiMqKyv5LuC6ujoAQCVXjQppNab0nQCZTNamL6Zw4Ver1aivr+czg84aDBoMBl5BQKvVdthO1pLEUnBwMJ9ldsYjUGFgwtQ6mJ6qTCZrV2DSlOOZQqFwCmULS7BMKNtgsYYydp3amqVizVfs3mQmHmLOxGduzsfK2w4AAEY9l4Txi3qb/NxgMJgYVgg3lO2R+mN1uuw6GQwGE0txZyzvYQEcm0Oqq6s7JFHZ1BzHsszOsPmyRE1NDVQqFT+H+Pv78wmcttapGwwG5Ofno7CwEBUVFTAYDCbldLGxsfD09LTZdcrOzoZarcbAgQNt8vpCOI5D4dHDiBjScv8XU7fw8vJyic0nBclmfPnll/jpp5+wceNGRw+lEbt378bgwYPhZ8UOU51Oh/z8fD44Yw137IseFRVlteNbdsyuVquhUqlM9DaVSqVoFyd29M0yoSUlJfD09OQXjJCQEKsG+0zlgB0hM0F8sQeDloIPVnts7eDD3EYZgEkwKNbNl9D0hH3n2AZLLpdbtaGMbVDZNaqpqTEpObDmPNIRSq5V4uPeWwAASTMiMWfVCJPvQElJic2cL22xmbMXljYPtjI7YqdlWq0WxcXFJn0FYtEktwRbc1hgzNYcFhhba07iOA41NTXIycnhpReBhrr54OBgREVFQalUWrU04/r16yguLsZNN91ktde0BhQkuzjffvstvvrqK2zdutXRQ2nEnj17MHDgQPj7+7f7NfR6PUpKSlBQUMA33AEN9d4hISGIjY2Fv7+/XW5uVuulUqn4XT0LmB3dfc6uE8ukMOtntnjaq16Pla6whRAAHyxY2/a1rVgKMBxxjN1UFo0FDI7OxAtrQrVaLQCYGIh0JMA4n6nGlt1ZeOahIS3ej8Ia5+LiYr5hi230HLWgGQ0c3g5bB32NAQFxXhj+jZw/TRHandsDtvliGzBWFsQ+K0dv5Ovq6vj7vLi42Gabh+YQ6ntrtVpUVFQgMDDQxDLbkcGRGE4vWTkdc5Jl6yz7zrF1tiNryLVr11BWVob+/ftbadSto0arQfaObUi8fa7Fn1OQ7OKsWLECH3zwAXbu3OnooTRi79696N+/PwICAlp+8v8wGo2oqalBXl4e31AHgG8+iIyMhFKpdPgxbH19PT+pabVaeHh48Lt9e0z+LOBjCySzfhbW5DlaS5UtTuw6CWtW7XVMLJTd0mg00Ov1JkGEGOqE2eZLGAyya2TPe8k8O8nGYK3TAG1JDbqPXoo6nQFbf5yLUYNjWv27zX2O9ryX2AZw67zLqLxqANyAB8+NgDJS4fDTgKYaTNk1srazXVNjYKY8arWat1tn95IYmuuYBjr7x7TM2T973Uvs5EGj0Ziow4ihD6a+vh65ubkoKioyObENCAhAREQEoqKi2ny/Z2VloaKiAv369bPRqBtTo1Hjh5t6QVdZgTv2HoW8V+9Gz6Eg2cVZvXo13nrrLezdu9fRQ2nEvn370LdvXwQGNjbzEKLX61FYWIiioiJUVlbytVIsy8dqpcR6A1vqNBYeI1oroBeWB2i1Wl5DlAV8js5AtgSz01Wr1SZaue11tLME0xFlgUJpaamJOYHYVTlYMGipntWaWSXhPctsxIWKE7YKFP7x2h/4etUpjBkeh03L57TrNYSBGAsGmTa1NYN6oHFDGSslOv56ETLWFgIAHjk8EWG9g6zy96yJeYmPMBi0pu26pUyo8J4Va2kDYNpYqdVqTWy+rV2+Ultba5JV9/X1dQpFJbb5ysnJMTHb8vT0RGhoKKKjoyGTyVoc/9WrV1FVVYW+ffvaY9g8m++bh6vpa5AwZTqmrfi10c8pSHZx1q5di5dffhmHDh1y9FAasX//fvTq1cvElhtomFTLy8uRl5eHkpISXsLO09MTwcHBiI6OFn0w0xTCo3SVSmWSPVUoFG1amNgEzjIewvIA5tjljNcIaNyp7eHh0W55OWGWkQV8wiyjGLLF7UHYICmU52tvVs5cos3Ly8ukfMEeJw83csvQb/JXqK83Yv1/b8f4kfEdfk2hy6FGo2nQMhY0E7ZlYyE8/WC1mqwPQWgrvXfxRexcdB4AMPu7oeh9W+uz4o7APBg031i0teSAleSw768wE2qve8kW6HQ6XhZU2CTJNhZtmUvYhp2tBcKsulKpFH1SoykMBgPv/ldeXm6S1FIqlYiNjYW3t3ejueny5cuoq6tD796Ns7m2pCQzAyuGDwBnNGL21t2NmvkoSHZxNm3ahKeeegonTpxw9FAaceDAASQnJyMkJAR1dXXIy8uDRqNBVVUVLwcTEBAApVKJyMhIUWcc2otwkmQOUSx7YKluUWj9zLI/wkna0TWGtsBgMJhkovR6vUkm3vy+EGaLWamJsF61OStbZ4ZlolhZBqvvbCpDziTpWPAorH1mAZ8jslfPvbUDS78/jn49ldj3271wc7PeGIT1p2yuaanR0FyXVyKR8Ne1qZOgSxvy8PMdBwEAo19MxtiXe1ntPdiDpuzT2Xu2tJmvrq7mv6PCngyFQuG06hHNISxD0mq1KC0tbdFWnJkNsTm/rq6Oz6orFAqXW+M4jkNtba1JAyDHcXB3d0dQUBAiIyMRHh4OqVSKzMxM1NfXo1cv+39Xdjzxd1z88TtEjRqNmeu3mtyrLEi2FNg7IxQkm7Ft2zY8/PDDOH36tKg+YL1ej4MHD8Lb2xs1NTW8lrO3tzdkMhliYmLg5+fnEju31mLexOLt7c3LHbE6OWZHyyZie9QRigmhoohQV5ZlBNmixbLFbGF31qxMexGWS7AaXbZwAw2GC6yrX5hVdXQtPwBoiqvRZ+KXKK/U4cPXJuKheQNs9rcsmXcw2UNWFyqswW7t0bf2cgU+7d/QLN1zVhT+9uNwm70HWyPMMpvbz7P5mwVArqz73RKWTqxCQkL4/g+2OQPE06xsbziOQ3FxMXJzc1FaWsqfEnt7e8Pd3R3+/v7o16+f3WOVipxs/DCoN4w6HVJ+24DYcRNNxkxBsguzZ88ezJs3j7cQdhRGoxHV1dV8wx2rWwIayiiUSiXi4+M73cRqCZYRZMdVLKvOdt5hYWGdamK1BJOxKywsRGFhoYlEEauDCw0NdYlJrSOw8p78/HxoNBpeK5xlmaOiokSZ5Vv6/XE899YOBPp74sTmBxGhbL8CTmswGo3QarV8iRfbtPv5+SE8PBwRERFtmpuMeiP+rVgHg84IRXIgHj12q62Gblf0ej1UKhXy8vJQVlbGGzEEBQUhIiICSqXS5bKh7YGdjBYWFqKqqgpAQ3N5aGgoIiIiRLMhdTTl5eW4evUqSkpKYDAYAABubm7w9/dHeHg4YmJi7Nbwuvel53B62SdQ9BuA23fuh+R/yScKkl2cAwcOYNasWbh8+bLdP+D6+nqThjtmO8myMlFRUfyky3SGWSZCqVRarXFE7AiPvbVaLaqqqkwkiPz9/U3qmIWNLwqF47vm7QXLjrJj4Lq6OhMZOy8vr0bycrZokBQ75vrOrLmPZYw5jjPJnjInMjHVixoMRky/72dMGdcNj949EO7u1j8tYXXv7HvH7I3lcjlCQ0NNjFFYg2db5ACXDdkG1fkyuLlL8JJmFqQeznniI2woYyo5wqy6UDGDyacJa5ldIbBoDdXV1bx+MWs8FuoXC+f4mpoaXhJQJpM5XCLUXrASFXadKisreZ1nuVwOvV6PnJwck0Sah4cHQkJCEBMTY1NVphqNGj8O6YceaX/DiH+9DY//nT5SkOziHD16FLfeeitu3Lhh8w+YBXssyyBsuGPZvebKA8wnGVaf68xNDE3BjiiZmD1zEmPd5U0FvpYmmeDgYH4ydrVMfFPNZC3J2FnSGhY2SLpS7XZTih2tCehYvTcLmoUqFm1tJLU2rbWLbcvrsXIctVptUrrUUt1sSxsPS9nTX+89hPO/5gIAHj1+q4ldtZhpqqSJfXea03hmZWFsbmNNkmI36WgPwsZZlUrVpjnG3MzJ3d2dv5/EbB7UHthczJJhdXV1/HeuuSSPwWCASqXiPRD0ej0kEgl8fHz4BkAfHx+rzhG6igp4mknSGo1GAKAg2VU5ffo0Ro0ahby8PKt/wEajETqdjm+4Y0X5UqkUAQEBCAsLQ2RkZLsyeKw+V6VSobi4mM8+K5VKUR4Pt4QwGBFmEoTZ4va8J6ahy7I8fn5+fMDs7NdJo9GYmJ50pJmMNUiyINLZm4rMrxPLqnekHlTYbd/WINLWVFY1bLj9/doWZNliE2Beo1tRUcFfJ2H2dM/bF7D7zQsAgL/9NAw9Z0a3+W/ZC6PRaFLDbg2ZNqZSxK5TZWUln2WWyWROmWUWXie1Wg2DwWBi7NGeta6pk0RXuE4smWM0Gvn1uz112BzHQafTIScnh3caZLEG80eIjIy0SZaZgmQX5+LFi+jfvz/UarVVPmC9Xg+1Wo3CwkJe3gUArzUbExMDHx8fqzaTCeWENBoNb8yhVCoRHBwsyhuX1cwKFRY8PT1NsqDWPv63dJ3aK5tmT4TXiTVPCaXHrH2dWOc+u07u7u5OIU9lrl4hvE62OIY0L0dgpx3sHrbXdTpxtgD3PbsBIwfFYNm/p7T4/Lq6OruWk7DsKft7rBmy7AiHbY9fAgCMeaUnbnmhp1X/bkdpSmaR3U/Wni/Y58LuX2YF3R4pPntiPq+6u7vziQhbzKu1tbV8lrm4uBgSicRqjpa2hJnpqFQq3gDFVteJ4ziUlJQgLy8PxcXF/Km1l5cXZDIZYmNjO6SHrjl7Bic//QBjPvgM0v+dCFCQ7KJcuXIFPXr0QGlpabs+YKPRiKqqKv5mFNYJsUYye9Z7srpUtkMFwO9QHe0i11R3s1BhwV5fMks7eblczu/kHVmfy8wF2IJZU1Njcp3s6bolZqOD5uTK2LG3va8TCxbq6urspjW990g2ptyzChwH/PhRKmZNTjT5ubA8QFgXyz5De9Z7CrOC148X4OCDDXNUwtRQzF4+1GGyegxzwx52oqJUKu1+nSzd22wOcPTpDtuQqlQq/oTOESeZ5tl44amFGNSNdDqdyYkvcwNVKpV2zYDX19ejoKAARUVFqKio4LWZ/f39ERYWhpiYmFafGhkNBvw4qDfKr1/D8FffwIB/PAuJROIyJXoUJJuRnZ2NuLg4FBcXtzow0ul0yM/P5481mOUkmyhiYmJEsZtlC5KwoY0Fgu09+moL7dHJdATseJgFzKx2ju3y7VF3ymqwhVlQYQ2eGJrqmrPMVSgUdglwhFluYU2nmLJt7JREWL5iC5tqIa8t+RPvf3EIwYFeOLz+fkQo/SxK3Ilhc8Mw6Iz4t2ItjHoOgV090fcDP7sbtIjB+r01sCZJpgEvPLWwR42u8LuvUqn4Xg8W8Iml18OSfrXQVdUenycr8VOpVCgtLeUbFJVKZbP16vaCzU9Mm7mmpgZAQ2KPmZHJ5fJmv3uXVv2E7QsegFdQMO48cR4+IaGi+a50FAqSzSgsLERERAQKCgqavIFZ1jE/Px9lZWWor68H0HB0wRru2uq4ZG9YNokFgkwpw9qBILNyteS45AzWz0DjbBLLulkzOynMPGq1WlRXV/Pd3PbOFrcXcw1d1tXfWnWD1mBPC2Vb0R6zjbai0xkw9o4fcOq8CgN6huDVRxPg6/PX5yHWcqLPBm6F5lIFpF5ueL4wBaVlJY3qfq1t9c2OvYUqL+z7LZYNaXNYqtFtyfClI3+HzYXChjKxbLSaQ+i4yuYOPz8/fi2y1neC9SqwxjumSME2EGIPHg0GAzQaTaP4hjU3x8bGNlqPjAYDVt08BMUXz2PAk89ixKI3Rf8+WwsFyWYUFxdDJpMhOzubt382Go2oqalBfn4+30QmbLiLiIhAeHi46CfT5jB3smuv3aclu1Y/Pz8+ALBWsOQo2HEZy1wK5Z3aWu9dU1NjUkvn7u5u0tnuzPeTwWDgAw+1Wg2O40wMAdry3oRlOSwLKixdcObJuLW2za3B3HY7M0uDp9/JQG2dAS89NhQvPTFa9BuIX+48iIvr8gAAT5yZjNCuDXrPwlMooWEJC9LaujkSyrQVFxfD19eXvz+dYaPVHJbmlfYqQbDvMaubZRs6toEQw8lfexEqsGi1Wuj1ehOJzLZ+94Syo7W1tZDJZPwprdg3EM3BNKxZwG8e+0RGRsLDwwPXtvyOTXPTIPX2xl3HzkHepaujh24VKEg2g9XnXbhwARs3bkRhYSHGjh3L1+yw8oDo6GirN9yJhbq6Oj7DzJQy2PGQpawEa8Rh/5glK/vnzEFMc5gHgkDzzlCWbI1tkfERG03Jy7EAx9LRLGtOZCokQptssWZBrYH5+2bBG8uSm79vlgUVSq2x6ySXy7Fy/SUseGkz3Nwk2Pjt7bhlWJyD3lnr2Pmvc9j7bkPz3h2/jEDitEiLzxNm47VaLQA026xlSaaNlQew0iBXhJ1QsXtEeELVlN6wed2st7c3f8Lo7BuIpmCbMHadWCkgW8MsbQjYtWVrpcFg4O+nlsoTnBU2l+fm5qK4uNjEbOnsmTMI/m0Fys+eRq97H8DkZV87eLTWgYJkAWfOnMGHH36Ib7/9ln+sZ8+e+Oqrr3hHMlddnJuCLUYsk8BqBH19ffngmG0s2CIl9lITW8AygmzCrKurM7E1Li0tdUjtoBhh9blqtZqvz5XL5fDy8uJrsVlzorDcpLNhqQyANR8xqTaWBW1K45njOCx4aQvyVRX47+LpkIeKOxg8+0s21tx/BAAw/vXeGLUwqcXfYQu3uXSaufW6wWAwqcPujN89814HpmQSEBDAz/Xl5eV8SZlY6mbtDTu9YkEzaypnG3R2Wurm5sYnkFx5894UBoMBBQUFyM/Px1NPPYWKc2fwqCeHQr8AjPnvTxgzbpzT3z+dOkiurKzEsmXL8Ouvv+LMmTOora2Fr68vpFIpvLy8UFpairFjxyI1NRXTpk2DQqFwyV10a2jO+jkqKgphYWGdboKwBMsWFxQU8JMrAD4bEx0d7fSThrWoq6tDUVERCgoKUFFRwd9TwcHBiIqKgkKhcMlsTFvhOA6lpaXIzc2FVqvlawSZSUBUVFTzhhU6PdylbpBKxf/9LDxTii+GbwcA9J0bi1lfD2nT77Mm6sLCQlRUVABosDcODg5GZGQk3VP/g0mCsXuK2Yr7+voiLCwM4eHhTtEHYQ+Yt0FhYSEqKysBkGU2g+M4ZGRkID09HevXr8e5c+cwNCoS7nHxyM7JQV5eHkaNGoVJkyZh8uTJ6Nu3r6OH3GacJkj+7LPPsHjxYhQWFqJfv3745JNPMGRI2yZQc06dOoWBAweiS5cumDJlCh577DEkJjbIJXEch8zMTKxZswZr167FyZMnMXz4cKSmpmLGjBmIiopy6QnE0jGdUHLIz8/PJHPKuuXtpZQhJsx1Os31TA0Gg0n9I1M2YDa1rnwfCTGvmWVqGMJsMStHUalUvJEFy/x1Ftt14K+GV5b1A/6yDA8NDYVerzcpy/D29uZ/3lLd/+GTeRg6IMpeb6VN1NcY8LZyLTgjEDEgBA/vG9/s85sydBGWUbB7ip3wmJvtdBaYHCi7VsywgpWHCZUghLrittKpFzO1tbX82lZSUgJ/f38+Y8wss9m1spbRlbNgNBpx9uxZrFu3DuvXr8e1a9cwYcIEpKWlISUlBTKZDBKJBBzH4cqVK9i6dSu2bt2K4uJi7N+/39HDbzNOEST//PPPuOeee/D5559j6NCh+PDDD7F69WpkZGRAqVR26LWZXFtzcByHGzduYO3atVi7di0OHDiAgQMHIiUlBampqUhISHCJL4XQ+pMdxbWm4cPcbrSmpsZEKcOZmxYswUor2LUSOmO1pFnKgh+VSsWXX7BjTVc8rjMP9li9OluYm7o3LAU/tlAVERPMKtu8DKWlWlBWG89+tykLaI7j8ORrf+C/P5/GV+9Ow7yZvez59lrNJ323oPhqJTx8pXixaCYkbqbv25LKgtDeuLnNlNCOXFjr3prNhTMiLJcTGqAwY6nW2K+zZnVrOHmKGaEiRUVFBYKDg/k1rDlJO1bCwsydpFKpU5i+tAWDwYCjR48iPT0dGzZsgEqlwuTJk5GWloZp06YhKCioxdfgOM4p7xmnCJKHDh2KwYMH49NPPwXQMEnGxMTgiSeewAsvvGDXsXAch8LCQqxbtw5r1qzBnj17kJyczAfMycnJTnMjsMwCW2CZpXFHTSrMJ5ugoCB+Fy4W/cy2wuqv2WTI9HhZY0d7bWjNGz9YNt5ZJ1cW3LKATahC0FTzWWsQusJptVp4eXmZqIo4Y3AjDPZYRkqoydteq2xWL8ka1ISGKku+OYl3lx6Ej7c7dv18F/okdSzJYAtW3b4fGZsKAAD/uDAFwXF+/GaLXSvm0tdUk2xrMG96ZN8/dq8668kF0+UVZkE7aoDCGkrZ5oI5tdnKvdIemOvhWyO5w77TwgSK8ATWmU4O9Xo99u/fzwfG1dXVmDZtGtLS0jBp0qROUzYo+iBZp9PB19cXv/76K2bOnMk/fu+996K0tBTp6ekOGxur60pPT8fatWuxbds2xMbGIiUlBTNnzkS/fv1EtXizAEbYwSuc7GxhaWzuxCQ8thJzNtC8GYgF+7aa7ITZeKFuNQsExawQwjZb7FrpdDqbustZOjYWBkxi3lyYm58Igz1bHGkz7WreKtvdA28uu4qDJ9XoEhuMP3+9ByFB4rq3tr96Fvv/kwEAmPB5D3j3rDdxcbOFHjZTvxBKzLGyDbEHN5aUO5iMYEtZ0PZgnlwRlrDIZDJRB08siGVJHIPBYFNnVVaKx/4xy2z2T2wbsbq6OuzevRvr1q3D77//DolEgtTUVMyaNQvjx48X3XjtgeiD5Pz8fERFReHAgQMYPnw4//g///lP7NmzB4cPH3bg6EwpLy/H77//jjVr1mDz5s2Qy+WYPn06UlNTMXToUIfstlm2hP1jXbpCLUh7WmGygJllA1nALAZpIZ1OZ9L5DTQvK2VLzBUghHWWYqh5s+QIKDSqsNe9bmlzYcsAoT3jY2UjLPhimT17B18suLmSlY95T++GSluHIf1k+O79WxEWpnT4Asg+y8P/zcDBl7MBAMkLQjHsyW52rx8WzgVsMyOmI3RhsCe0h2c9IfYaH3NrE5YbsPp4e88FTdGU1rNSqbSrYhWzzBaamQQEBPD3laMss6urq7Ft2zakp6djy5YtCAgIQGpqKm677TaMGjWqU9WiW4KCZBtRXV2NP/74A2vWrMHGjRvh7e3NB8yjRo2y2STGsgrsi1hWVgZfX1/+ixgcHOzwSQswnbjUarVDpHSER9NC6SO2EIohcAf+WrBZoOWIUgPhMSLTOhajI6D5UbMjmiRZGQ37vIQ1s2IxPzl9oRDj71iBmjo95kyNwbxpCodsxCydCkg1/th13w0AQP+745H6+SCbj6M5WA8C+w466t5nCQ8W7Lm5uZn0M4hlXjc/VXJEo6Ql6VIxJWSAv06V2D+j0WjiRmurDT5b97Zs2YL09HRs27YNERERmDlzJmbPno2hQ4eK6gTc0Yg+SBZzuUVr0el02LVrF9asWYP09HTU19dj2rRpSE1NxdixYzu8aOp0OhPnIGb9zII9R2fTWkIYVNj6CEzYwS00PmHXytHZtJZgixDbXAAwuVbWXCibyqax0gBHZ9NawhZ1rE0h3MhotVq4u7vzQbFYazZ//f0i7n16A9zcJDiw9i7IAjmT8QvLQKw5/pbqy/U1RrytXAcAiBocigd3j7Pa37YGTZ2iNGU60RHq6upMjD2YuYxSqRR1CQjQuLxP2CjJNOStea0slfZ1tBbbXgjLfbRardWTWxzHQavVYtOmTVi/fj127dqFbt26YdasWUhLSxNdaaiYEH2QDDQ07g0ZMgSffPIJgIagKjY2Fo8//rjdG/c6il6vx759+7BmzRqsW7cOZWVlmDRpElJTUzFx4kT4+/u3+BqsXpbtQFn9HNuBOmsjE2DaTMHsPTvSTGHJJtvf35/PbDiz8Qm7D1jAbI1r5ax1mS3REUUESzCHLhaAm0uPiX1RZry37CD69QzDpFu68I9ZOxPeHqWSj3r+jtIb1fAMcMcLBamivZbWrse3dK2CgoJMrpWzIrSXZ6V/He1dYE3iwmvl7E3iwF+W2WyDUV9fz2eZW5uRZyID69evR3p6Ovbv349+/fohLS0NaWlpSExMFO33Skw4RZD8888/495778UXX3yBIUOG4MMPP8Qvv/yCS5cuISwszNHDazdGoxFHjx7Fb7/9hnXr1iE3NxcTJkxASkoKpk6danIsdOPGDdTU1PBZY2fLgLYXFoiYy/IwvUpLNCU75srXqr2Lq6t2+DdHS9q6TQW4woBIqA3eGa6VUK2EbTKbK2FhgbZQn7gtmtcr0vbh8tZCAMDTmVMRGCV+PWPhtWKN0a1Rdmlus9sZ7it2rYSZ06ZK7thGniVRqqur+ftKqVS6nNwoYHqttFqtiS56bW0tunTpgsDAQP65169fx/r167F+/XocPXoUw4YN4zPG8fHxFBi3EacIkgHg008/5c1E+vfvj48//hhDhw519LCsBhPoZgHzpUuX0LdvX/j4+CAvLw83btzA//3f/+Fvf/ubqOpl7QkTeFepVCgtLeWVMhQKBYxGo0lDhDVkx5wZpmpg6ZhWKpVaPAJ1Zjm1jqDT6fisqUaj4Y/PmRkFK9kQHq0rFAqX07W+llOKJV8dxpJXJsDDw/LRbnPqHAEBAXy2nv2MXau2liH88dIZHPwoEwBwV/oodJ0QbpX3aE+a26yHhISgsrKSr5nlOM5mZVPOgDDLrNFooNfrTepzheYe9fX1/LXqbMZVQMO1YkZfL7/8MrZt24bExETI5XIUFhbi6tWruOWWWzBr1izMmjULERERnS5WsCZOEyR3BrKzs7FlyxZs2bIFf/zxByQSCTw8PFBWVobBgwfjb3/7W6dw+2sNVVVVyM7O5rNUwF+WqlFRUU591GZtdDodsrOzUVRUhOrqagDg60BjYmJaVeLTWdDr9cjLy0NBQQEqKyvBcRw8PDwQGhqK2NhYl92c1tcb0G/S17iRV4a/3zkAS16d2OLvGI1GFBUVIS8vD2VlZQ1Nd/+zgI6OjoZCoWj3tTr5/XWsX3AMADDp3X4Y9nj3dr2OWGA1oTk5OSgtLYVer4dEIkFgYCAiIyMRERHR6QLjpmAlcjk5OXxZBgD4+/sjPDwcMTExnS4wNkfoerd69WpkZ2cjJCQE5eXlkMvlmDJlCqZOnYrx48e3yuiDaBoKkkXCV199hUcffRQjRozA5MmTMXnyZPTr1w8SicSi219qaipSUlJcxu2vJVgNqLBelmWLQ0JCoNfr+Wygq7vYtQahPm5xcTHfiMUsQ5miAMvKsGNwsTfj2QKmtMLuH6FjnaenJ8rKynj92eDgYJMssyvx+84ruP3RNeA4YOmbk3Hv3/o2eg4rDWClKtXV1bzknp+fH/8dZcoirXEMtETuUS2+GbMLAHDT/QmY8elAq71Pe2Iu5chOv4KDg3mHU2GjJGv07IxBoCV3QCbTJnSVFDami0Utxh4YDAYcO3YM69ata9L1rra2Fvv27eOTbRkZGbh48SK6devm6OE7LRQki4TS0lJIJJJmd32u5PbXGljzAqvFYkdwzU2OQhc7lUoFo9HIB8yufIwpND9hesHMaU0ul1uss7W3CYGYYAoFTCqO1fg1V3Ii/B1hCUt7gkCx8u7SA/jXR/vg4eGGrT/MxdABURY3Eex9N6U+Y15qAMBELaOlzVhdeT3eiWhQLooZLsP87WOt/2ZtgLBmVqjbzcrCmpuz2LUyt4B25ma9ljBX7/Dz8+N7Tpqas5pKljh707olOup6l5OTg+joaJeYmxwFBclOirO5/bUG4QSo1Wr5Zg62WLR1AhQ2xKhUKr55iC1Yzp41ZZkXdr2AjpmfMI1hYc23s0gotYSlTQTLCrcnEGENjyxwBGASODrrZsxo5HDXP9KR/kcmFKHe+PLNwZCiukPa3E1ln1nQ3FRG/oMem1CeVwPvEA/8MydFtPefuYSlXq83qS9u6zwjtIAuLi7mewaaa2hzJqqrq/k5mSmdsMC4raczbDPGNmRMa5jNgc6YZWaud+np6di0aRMkEglSUlKQlpbWaV3vHAkFyS5CeXk5Nm3ahLVr14rG7a81NNWwYW2NZ9YhzCZnljVtLsMjNprKotjCqtfS0ScLmJ0lW2MpkGWd8NZ0TWNmEywIZOoEYjIPaQmhpF12TiEeXXQMN/Jr0ScxFJuW/w2hIdaT/2ObMWEQyK6V8N76MWUvru4oAgA8mzUd/mHiuY56vd7E4MdWJV7NzY/Odm+xubeqqspEqtJaQZ+5hKUzNXA35Xo3e/Zs3HzzzZ2y/EYsUJDsgjjK7a81tFf6x9rU1NTwR6LM9pllM8R0vCl0JGNNLELZMXsskpZc0Vo6bncULAvHyihYSYQ9F0mhvBzTmmaZRTFl5IUZUKG1sUKhQEWNO8bPXYWucSFY/XkalDLbfCdYEGheD65QKHDyPwU4uiwLAHDP76ORcIvSJmNoLcysgpXb2NvN0ZI2t1DzXUwlPxzH8bbZKpXKIb0PTamLsPnTkRlZcr1zHihIdnGY299vv/2G9PR0GAwGTJs2DSkpKVZx+2sNthCRtyZMAozVxfn4+PBZDkcYaAgzbSUlJfDy8jI5bnXkqYD50XlNTU2HTDk6ijCLq9FoTBrJ7GmD2xTmTnwsI+8oCTl2QsCuF3MGZOMR3ltnLqnQIyEU3l722QSxwIGN7cpvWlxdWgMAGPd2MkY90dOu30Xh6ZNarUZFRQVvViGGxk2he6hGo4FEIuHnCWuelLQWJsMpdANl2XVHu06KwVSqKdc7Fhg7Y4lkZ8Blg+TPPvuM11Xu168fPvnkEwwZMsTRw3Iozbn93XrrrVbLoDZnR2oNi01bwo7omX4pCyJsWWbA3ODYYies2WSBnlgyROawrKmwvpBdL1tl5IW12EK7aRYciCmzLcRoNJpk5JkZCQvobWWEIDQDEdaaM23j1t5bxaU1CA2234b2yu58/DTtAAAgYqoXev7jr82PrTYYwgyo0ASFafKK1ayCbRbZd0LYuNuUq6E1YGUnbL5kihRi11wXbjC0Wq3NDKeErnfr16/Hvn370K9fP97cIykpSbRzu70Ra8zmkkHyzz//jHvuuQeff/45hg4dig8//BCrV69GRkYGlErHHtmJhabc/lJTUzFlypQ2H91Zsmc1D/ScDRbUsAXTmoL/dXV1JiYVzhLoNQfrVGfvydvbm18wO3IUzHGciZSWsBbbUdn+jmJJWcRa9sOWGuWE2f62nh4ZDEa88fE+fPvzafz56z2Ii7aP7mq1tg6LYzcAAOJulmPaD734LLM1NxhC9Q5hBtSZmzCZBKTQBEcoMdeR96TT6fgyCqbywkrV2rLpEgvCLDMrYwkMDOSD5rbOXRzH4caNG0hPTyfXu1Yi5pjNJYPkoUOHYvDgwfj0008BNAQ7MTExeOKJJ/DCCy84eHTiw9ztLyMjA2PGjEFKSgqmT58OuVxuUYqH1X8yq0wxlQVYG0tKGULXp5aONpuaiIVuZa40cZo3zUkkkja5r1myNWYlOs7SaNkWzOtdWTMby8i1dG9YalJk16qjm67aOj0mzP0JJ88XoU+SEjtX3QlfH/sc5b+fsAFVqjr4Kbyw8PoMAKYNWqwMgp1gNCV3aA4rsWJlMF5eXiYZUFf6LhoMBhOJubq6OpOSpNaUu7EeDpVKhbKyMl6RoqMbOjHCSqSYagbQsmoQx3HIyMjA+vXrkZ6ejnPnzmH06NFIS0sj17tWIOaYzeWCZJ1OB19fX/z666+YOXMm//i9996L0tJSpKenO25wTgDHccjMzOQD5pMnT2LEiBFISUnBuHHjcOrUKWzZsgU1NTV46KGH+GyxTCZzucmyKSx1azOlDKVSyR/VCXWezU0qxHx0a21YOQkryxA2iAml+NjixBYoqVRqoq3rSpuu5hA2s7HMpqWAVxhYM63ntgTWbSG3oBwj076Hprgat01NwvIlM+yy6H83ZQ+u/9lwDZ67MQO+8sbH4HV1dSZZUw8PD/56CTfrTHpM2FApDPQ6QxDTVOO0ucxmc3OcK25Sm0IoHclKB998800MGzYMU6dORXBwMDZu3IgNGzYgKysLEyZMwKxZs5CamsobNxHNI/aYzeWC5Pz8fERFReHAgQMYPnw4//g///lP7NmzB4cPH3bg6JwLjuOwe/dufPzxx9izZw9KSkrg4eGB5ORk3HPPPXjooYecsizA2rBSgKKiIpSVlcHb2xsSiQS1tbUd0nl2RYQd+kVFRaisrOQX3NraWpfOrrcHYemESqVCdXU1fHx8YDQaUVdXZ+IAaOtN6v5jOZh678/Q643417O34NmHh9r07wHA78+cxNEvrgIA7vvjFsSNVDT7fGHWVKVSQafTwcfHB3q9HvX19R0qO3FFhBt5plzj5eWF+vp6GAyGNp2WdQaKi4vxzjvvYMOGDcjJyQHHcYiJicGMGTOwcOFCJCQkOHqITofYY7bOvWITFqmsrMSTTz6JHj16YPLkyaisrMTLL7+MPXv24IMPPoBSqcSLL76Im2++Ge+88w4uXLgAF9trtRqDwYDq6mrU1NRAp9PBzc0NUqmUz8YAgJubG9zd3Tt9wAeAD+50Oh30ej1/bVi2z2g0OniE4oLjOOj1euj1ehgMBv7+YtfLYDDw/2z9HRw5KAbv/994AMBrS/Zg654sm/49AFAkBfL/rb5U0eLz2XeM4zhwHAc3Nzf+mnEcB51Ox//rrHOWEHYvSSQS/tqx76TRaERtbS2qq6tRXV3daa+XXq/Hn3/+iWeeeQZDhw7FTz/9hJtvvhmrVq3CH3/8gbvvvhsHDhxAt27dMHz4cHz00UeOHjJhRVwuDSiXyyGVSlFUVGTyeFFREcLDwx00KufC19cX7u7u+M9//oNx48bB39+f/9no0aPx6KOPori4GOvXr8fatWuxePFixMXFYcaMGU7r9tcWmmqKSUxMNCkLEHZ+Hzt2zKTzOyQkpNMEzU0dhycnJ5schwvlyW7cuOFwuTRH0ZRsXK9evUyug/n1ak7OzVo8OLc/Tl8swre/nMEDz23E6a0PQRZiO8ULRVIA/9/qi+UWn2NJ1k6pVKJ3794m10tYzpOdnQ03Nze+LtdZG/Tag7mCj1QqhVKpRJ8+fUxOu4TNxex6OXtzcWtpyvXuq6++wrhx40xOISZOnIi33noL+fn52LJlCyorKx04cudD7DGby5VbAA1F4EOGDMEnn3wCoCE7FRsbi8cff9zhReCuSFNufzNnzsSQIUOcfvGxhrwSU/8Qo4aotREqN2g0mnY1VpnLpbGjX/YarrZAWzIgYQFva69XU8Yg1q5/r9PpMeuhX3F3Wh/MTe1ltde1RJWqFu8nbAQAdBmrxN0bRwNo2Kiy71JJSQn8/Pz4DWhrynSEdfLmjaFi0G63Npa04Nn80xp1GGeWqWwt5HrnOMQcs7lkkPzzzz/j3nvvxRdffIEhQ4bgww8/xC+//IJLly4hLCzM0cNzaaqrq7F161asXbtWdG5/bcGWQv1icKOyNkJXPmtLdAlNJlhdrrPXltrSylpY9y00wWDXyxoBDcdxdgmKOI7D4rgNqNHq4BfuhVl/9OQl84KDg/nAuCNBrVBikDWz2cru3Z4wUyKVSmV1V1GmbCRGw6PW0pzrXVpaGoYNG9ZpTq8cjZhjNpcMkgHg008/5YWp+/fvj48//hhDh9q+0YT4CzG4/bUWR1m+WuoiDw0N5Rd/R1qntgRTV9BoNCguLoaXl5fNzR4A51UpsCTTZg89XvPyIPY5WcvwQaWtwoVMDcYMj7PSiBtg2ctVKYegPlkNAJi6tQuiuoTbVB2G2RmbyxeKvcxA6BCoUqlQWVlpF0UK8w0yO8Vgc6fY5nmtVovff/8d6enp2LVrF7p27YpZs2aR652DEWvM5rJBMiEumNsfC5ht5fbX1jEJJdr0er3JkasjJncWADIHO5YBVCqVDjdkMbcNNjfAcMSRq9j1bmtqakwCVF9fX/56OSJDKTTOYLKEwkC9rQFgVnYJbr1zJSoq67D3t3vQo4usQ+OzpK+d/bUeWWtKAADzd45FzNCO/Y22IHbbc3P1k9raWt4hUCivaM/xVFZW8nMqM/5hJ2WOuOfJ9Y7oCBQkE3bHaDTiyJEjvD12R93+2gI7JmS1jEK7bLE1hzEHO1ZHyOoulUplq+pUrQELWoRaz+x6ia00RAzOaULTGGFZgHAjIRYsOfOxALC1JQx6vRHT7/8Ze4/koGcPOfb8cnebjUZacmo8suwKtjx3GgAwY+lA3HSv42S2zOcPtulhp032mD9Y/TnbTLONjjWcQK2N0ELe3JjDlvOH0PVuw4YNOHr0KIYOHYqZM2di9uzZ5HpHtBoKkm3IokWL8Prrr5s8lpiYiEuXLjloROLDaDTizJkzWLNmDdauXYvMzEyMGTMGqampmDZtmkW3v7a+vtBtqqamxqThxFkMUNhio1KpoNVq4enpyS+M1s6YslpGVkbBtJ5Z0CKmjURTCOu+WWMWy7BZ+6je/LjZYDCY1GOLaSPRHOYBYGutvwtUlRgx6zuoNFW4c1ZvfPH2lBbvR9aoyE5MWGOnpXrZrJ1F+GHGXgDAsCe6Y9I7/azzhjuIpfIZ9rl3tG/BHIPBwH//mSIFu15i29w3hbkxBzuJYnNxRzf+zAgrPT29kevdzJkzERkZSYHx/6DYpPVQkGxDFi1ahF9//RXbt2/nH3N3d4dcLnfgqMRLc25/KSkprZ7kmOQYy16way6XyxEaGiramsLWYq6UwWommVJGWxfMpjKKLDAWU/azPQhrNYWNbCxb2Z73Z17mwTYtriJXJ5RV02q1vFxaU+6Hfx7OxrT7fobRyGHpm5Nx79/6mvzcUlmAsPmyudr7ioIaLOm2CQDQbWIY7lx3s/XfcAcRBoBqtRpVVVUIDg42UcBpK0yyjm2MWYa9tYoUYofVyrPNuHCebm1G3Gg04uzZs0hPT8f69euRlZWF8ePHIy0tjVzvmoFik9ZDQbINWbRoEdatW4dTp045eihOBzsuYyUZBw8exMCBA/mAOSEhgZ/89Ho9MjIy4OXlxWcomHObXC53aec21tzEAkCmlMEypk1tCFhzElukgL+sj0NDQ50m+9kehHbOLFPOAuamgg8WaLPfKy8vb7NMm7NiSS5NmClnAe7izw9i0Qd74e3ljl2/3IVe3WUmMn7trX/mOA7vRq1HXVk9gmJ88dSlqbZ8u1ZBWIvOLMPZ96u5ZkkmbccUKfz9/U0UKVz5HmMnfuweCwkJgUwmQ3V1NZKTk/nnGgwGHDt2jA+MVSoVJk+ejFmzZmH69OkICgpy4DtxDig2aT0UJNuQRYsWYfHixQgKCoK3tzeGDx+Ot99+G7GxsY4emlPBGi/WrVuHNWvWYM+ePejRowe6du2KkpISnD59GqGhoVi5ciW/ANuq813MMH1itshWV1fzwYxSqTTJDjKZK0c21IgBcyUDdozNghnWqCjU0m1N9tNVsbRZYKUSMpkc9zyzGdv2XsfwAXK89HA8b4TCyoLam2H/ZtxO5B4uBgC8UJgKrwDn2cSxWnmh9bOwLleoYVxRUWE1aTtnpqqqChqNBufPn8fcuXMRHh6O5ORkeHp64uTJk6iursa0adMwa9YsTJ482WnK5sQCxSath4JkG7J582ZUVlYiMTERBQUFeP3115GXl4dz584hICCg5RcgeDiOw4ULF7Bx40akp6fjyJEj8PHxQU1NDcLDwzFnzhykpaWRhI+AiooKZGdnQ6PRQKfTAWhwUwwPD0dkZGSnXYCbwmg0QqPRIDc3FyUlJTAajXBzc0NQUBCioqKgVCpF1RQlBurq6pCfn4+CggJUVVWhvFKPX7YU4ekH+iE5sYvVygLWP3oMJ7+7DgB48M9xiBoY2uHXdASsLCMvL6/R9zIiIgJRUVGdcvNlCeZ6t3r1amzYsAH19fX83D5p0iSkpKRgypQponBlczYoNmk9FCTbkdLSUsTFxWHJkiV44IEHHD0cp0Gv16Nnz57Izc3F+PHjMW3aNEydOhWxsbEu7/bXVpgJirCWlHXes+afkpIS+Pv78xk+Vy4VaA2sUVHYsMaaOllGq6qqyi6as86A0FGRaXuzo3EPDw++9pgpoVijke3gx5n448UzAICZXw5Gvzutq8lsa4SOiCqVineQDA4OBsdxKC4uNqltZ/0TnW3Dz1zv1q9fjy1btsDPzw+pqam47bbbcPPNN8PNzQ2nTp3Cpk2bsGnTJhw9ehQPPvggvvjiC0cP3amh2KRpKEi2M4MHD8aECRPw9ttvO3ooTsWhQ4fQr1+/ZrOfTbn9zZw5EyNHjnTJOlvh8TfTJWUBsFwut5jJq6+v54NCjUbDawsrlcpOUXYh1HtmTVYtSZ8xRzZWqsJqRV29Hplhyfa6OZdIljH9dPlhdIuWQh6MNsvLCbnyRyF+mrUPADDymURMeKOPtd6azWBlFqxfwM3Njf+eWWruZA25rE/A3JTDFTPMbMO1efPmdrnesU1Hr162tUfvDFBsYhkKku1IZWUlYmNjsWjRIjz55JOOHo5L05TbX2pqKsaMGePUmUBhwKLRaExqZdtqgiJcyIXuYu1VyhArQpm2jmY5meqAcJNhTQc7scAkzti9wRQuWntvvLfsIF7/cC969VBgy/e3obKipJG8XGvdLEuzq/BR8mYAQI+pEZi7eqTV3qc1sdYG1JIDqKs0ijbnepeWlob+/fu7zHfIWaDYpGkoSLYhCxcuxIwZMxAXF4f8/Hy89tprOHXqFC5cuACFQuHo4XUaLLn9TZ48GSkpKQ5z+2srwsCMydoJj2WtUVYiVMoQHgkzkwJnk85jJhVMCtAWwaxQjk+j0YDjOJNr5mzlPuYGNswsoz2yY4XqSgxLXQ61thoPzxuAD16bCKBxsyQrCWrO9IUzcng7fB3qqwwI6eKHJ89Osdp77ihMLUWlUvGlTNZWpLD0/Req0Yj9PmPN1xs2bEB6ejr27duHvn37Ii0tjVzvHADFJq2HgmQbcscdd+DPP/+EVquFQqHAqFGj8NZbb6Fr166OHlqnhbn9MS3mvLw83u1v6tSpotEftZRJYrJ29sgksZIEdlRcU1OD0NBQvsRAjOohzSkvMK1aW1+zsrIy/poxLWBnu2ZCq/GObiC377uG1AdWAwBWfDITqbf2MPm5JXm5phREvrp5B/JPlAAS4CX1LHj4OC4wFOpus2vGAmNbN8Ra8yTJlpDrnXih2KT1UJBMdFps7fbXVoQ1iWq1Gnq9XjQ1iSwoEJtMlXmtrE6n42XvHBmY2jr47OjYhIGprYP5lxfvxgdfH0FwoBcOrrsPsVGWdWxb0qLe/sxFnFmRDQD4+4EJCO8XbNVxNoewjl0or+joDRC7ZmzOYD0JbDNt701/U653s2bNwqxZs8j1jnA6KEgmCJi6/a1duxanTp3CiBEjkJqaihkzZthscmeuU8zYwhmc25jhAasvtbfhQVvd4MQAK2NgY2ZlDPbSqGa152wMAOxWFlJfb8DEO1fg6OkCDBsQha0/zoW7e8v3tXntd8G6elz9byUAYOY3g9HvDtsqXLTXqMeRNKVuw74bthgzud4RrgwFyS7Kn3/+icWLF+P48eMoKCjA2rVrMXPmTP7nHMfhtddew1dffYXS0lKMHDkSy5YtQ/fu3R03aJEgdPtbu3YtDh48iEGDBll0+2vPa5eXl/OLf2VlJYKCgkzsa51pQbGXda65ugRr/HJEtqyjsIY49n5sFeSbfzasJps1kdlzA3Y9pxTDZy5HVU09Ni2fg5uHtM20wGAw4MTqy/j9gXMAgJg5Phj0VEyT6hrtxXwz4cyNrCzIZ3MNK5lic01HToCMRiOOHj1q4no3adIkpKWlkevd/6A12DWgINlF2bx5M/bv34+BAwciLS2t0Rf03Xffxdtvv43vvvsOCQkJeOWVV3D27FlcuHBBNDVtYoDjOBQUFGDdunVYu3Yt9uzZg549eyIlJQWpqamtajgRLrwajYZ33HI1d0Cmw8wCDOZe15TkVXOw+l72WtXV1SZ1l65ihGIpW8mO8dsT/LHNhEqlQllZGV+uIAZb4993XkFosA+G3RTVrt8vzqrEJ322AAC6TVFi2LtR/EYzODiY32j4+vq26XXZyQTbTLDTHOYS6EwbsOZgZRlMK72tjpt6vR4HDhzAunXrsHHjRlRVVZHrXTPQGuwaUJDcCZBIJCZfUI7jEBkZiWeffRYLFy4EAJSVlSEsLAzLly/HHXfc4cDRihcm+r9+/XqsWbMG27dvR1xcHFJSUjBz5kz07duXDwQzMzNx48YNyGQylJSUwNvbm1+QXEkmrClYrTCrYzYajXwQI5fLLWZLzTcTTCmCbSbEeLxtTVizJguYKysrW9QWtqT5LGx8c6XF1mjg8LZyLfS1Rsh6BODxk5MANJjBCEuWWlPKUldXx1/n4uJi+Pn58Scgziyv1lqYwggLmoGG8ptr165h+PDhkMvlABqu0549e7Bu3Tps2rQJEokEKSkpmDVrFsaPH+9S95ctoTXYeaEguRNg/gXNyspC165dcfLkSfTv359/3i233IL+/fvjo48+csxAnQzm9rdmzRps3rwZAQEBCAsLg1qtRlFREW677Ta89tprvHtbZ0WYFVapVKitreWzpYGBgXwTWXFxMa8rywIcV99MNIe5E6DQJEaox2swGPjr2VFnO3tx4bIG//35NN57aRzc3FofkH4xfDsKz5RCIpXgJfVMuHuZbraEpSws+BNuGJhcn7CRUqlUtjn77Eqw72dRURHuuOMOXL16FXFxcQgICEBWVhYCAwNNXO9cfbNqC2gNdl7obu+EFBYWAgDCwsJMHg8LC+N/RrQODw8P+Pn5wcfHB5WVlfDy8kJJSQlkMhkCAwNx7do1REZGOnqYDkUikSA4OBjBwcHo2rUr1Go1cnJycPHiRRiNRri7uyMkJAQDBgxASEiIy2fxWouPjw9iY2MRGxuLmpoaXL9+HXl5ecjKygIA+Pv7IzY2FtHR0U4VuFRW6TDprhUoLq1FTGQA/jF/SKt/V5EUgMIzpeAMHIqvVELZy7T21d3dHWFhYQgLC4PBYEBhYSHy8vJQUFAAjuPg4eEBmUyGpKQkBAYGWvutOS3M7rlnz57Izs5GSUkJ9Ho9amtrERkZCR8fH7i5uYFyataB1mDnwXlmVoIQERkZGejTpw+6d++O6dOnY+3atRg2bBjc3d2h0+mwc+dOrFmzBvfff79Luf21B0uWxjKZDMnJyfD39+drck+cOIGAgAATpYzODDOpEJYEREZGQiaT8XW0N27cwLVr1/hsqTOUpfj7eWLR06Px5Gt/4LUlf2LM8Dj0Sw5r+RcByJP/CmzVl8obBclM3o6V+TBFitjYWPj4+PD34ZEjR/jMfGcpsRDCSsc2bdrUyPXulVde4V3vKioqsH37dmzYsAG33347AgMDkZmZ2amuFdG5EfdsStiE8PBwAEBRUREiIiL4x4uKikyOfoim6d69Oy5duoQuXbo0+pmnpycmT56MyZMnY+nSpbzb31NPPeWUbn/tQSjTptFoeIfA5ORkhISEmNQkBwYGIjY2Fjqdji/JyMrKgo+PT7vd3pwRoYGMWq1GRUUFb1KRlJTUqCRAqVSalLJcvXoVZ8+eNdGJdqS2dnPMn9MP2/Zew4btlzH/2Y3Y+9s98PVpuUxEkWQaJAOmrodM3k6hUCApKamRWkhQUBDi4+NN5OVu3LgBDw8PE6k0Vyzzac71bsmSJRabkAMCAniNY6PRiBs3brj899Ae0BrsPFBNciegqaaBhQsX4tlnnwXQUF+rVCqpacCGmLv95efnY8KECUhJSRGV2197ERpBMFMDFqwFBAS06b2x2lJm9yyVSvkMsys1PlpynBOqW7RV+YR9BqzuljkOijEzrymuxtCUb1GorsJDc/vjw0W3tvw7mRX4bMBWAECXqXL0eyUUGo0GHh4eJvdHW+41o9GI4uJifkPHTjpY/bczq8+Yu94dOXIEQ4cOxaxZs5CWltYhOUui9dAa7LxQkOyiVFZW4sqVKwCAAQMGYMmSJRg7dixCQ0MRGxuLd999F++8846J/MyZM2dIfsZONOf2N336dKcQ4GdH2ywjJ5Rps6ayAgtiWKaQqV7YwwjDFjAVD7YBAGBSLmGt91NXV8dLmxUXF8Pb29tEJ1kM99eO/deRMv8XAMDqZWmYOq5bk8+tq6tDUYEKy/sdBqcH/OLdMTO9N5RKZZs3YU1hSWFELE6JrUXoerd+/XqcPXuWXO8cAK3BrgEFyS7K7t27MXbs2EaP33vvvVi+fDkvZP7ll1+itLQUo0aNwtKlS9GjRw8HjLZz4yi3v/ZgST3AnjJtrLyA1ZzW1dWZuKCJVdlBWEpiruJhDy1e88BcIpHw183RLoUvvLMTn3x7DCkTu2Plp7NMflZdXc0HrGVlZQgMDMTBh9UovVwDNw8JXlLPgtTDdqcK5o6YbKMhNvUVo9GIc+fOYd26deR6JxJoDXYNKEgmCBHRlNtfamoqUlJSEB8fb/fFzryBzN6Wyk3RlK4wCz4dnY0xLz9hpQ+Odla0VOLBNjqOKC+o0+nx/a9ncf/t/SCVSvjPVKVSmeg+K5VKeHl54dd7DuH8b7kAgMdO3Ap5on1UKvR6PV+WIbT2dlTDpND1bsOGDSgqKjJxvXP28i2CEAMUJBN2oSWLzvvuuw/fffedye9MmjQJW7ZssfNIxYM13P7a+3crKir4YMBZjpxramr44IoFpSxgtseYmbEHC9pZ+QnLcjs6aLeEsFlQpVKZuNcplUq7OBsKFSmEQXtTpwO7/30Be966AAC4fcVwJKe2z8Gvo2NuyhHSlhs05nrHAuPKykpMmzYNaWlpnd71jtYYwhaQugVhF6qqqtCvXz/Mnz8faWlpFp8zefJkfPvtt/z/F2tnvr2QSCSIjIzEo48+igULFqC4uBjp6elYu3YtFi9e3KTbX3sQNi+p1Wro9XrI5XLExcU5jXW2j48P4uLiEBcXB51OxwddV65cga+vL9/YZa36VaBxvbTRaIRcLkfXrl2dQo5NIpEgICAAAQEB6NKlC39qoFKpcPnyZfj5+fEBsy2vG8dxUCgUiIvrgk9/uIi70iIQEaG0+LsmChcZ5UiG/YNkofZ39+7decvnoqIiZGRkdKhp1Rxz1zsASE1NxRdffEGudwJojSFsAWWSCbtj3ukLNOzyS0tLsW7dOoeNy5kQuv1t2bIFcrkcM2bMQGpqKoYMGdKqGlOhDJZWq4WHhwe/sIeEhIim3rKj6PV6voGNKSGwwK89Shnm8nauet0syfixzHx73qfwc9BqtbwsoPBzeO6tHVj6/XH07CHHn6vvho934xpz1YUyLBu8DQDQ5/YYpH071Crv11oIr5tWq4VUKjW5P1rz3ayursb27duRnp6OLVu2wM/PD6mpqZg9ezZGjx4t+s2Xo6E1hrAW9E0jRMPu3buhVCoREhKCcePG4c0334RMJnP0sERJYGAg5s6di7lz56K6uhpbt27FmjVr8Le//Q0+Pj6YPn06UlNTMXLkSJPj6tOnT8PX1xelpaUoKytDQEAAFAoFunTp4rKGCu7u7ggPD0d4eDiMRiPfeHjmzBkA4AO15hrYzC2i/fz8oFQqER8fb9UMq5jw8PBAREQEIiIiTE4azp8/D4PBYFLH3FTQZt6w6OPj0+x1e+6RYVi96SIuZGrwyvt/4v2Xxzd6TVm3AEikEnAGDupLFTZ57x3B/LoxA5OLFy/y8nJAw33H3DhZidOWLVuQnp6Obdu2ISwsDDNnzsSmTZswdOhQp1NxESO0xhBthTLJhN2xtMtftWoVfH19kZCQgKtXr+Kll16Cv78/Dh48SItDGxC6/aWnp0Ov12PQoEHQ6/W4dOkS1Go1vvzyS4wYMUK0dbL2wrwWVqfT8RrFMpkMdXV1Jk2BwcHBfCbVHrW6YoXVXrPg17wel+O4RrXhbdFq3ronC2kP/woAWPPlbZh0S2PDnk8HbIU2swLu3m54UTULblLxb1KE9d9ffPEFli5disTERMTGxqK6uhqHDx9Gt27dMHPmTMyePZt3vSPaDq0xhLWgTDIhCoTi6X369EHfvn3RtWtX7N69G+PHN84mEZbx9PTEiBEjUFlZierqamzYsAF79+4F0LBIT58+HZ6enggJCenUATLQsJCGhIQgJCQEPXr0QEVFBbKzs5GRkYH6+noADY5jkZGRiIiIEK28nL2RSCQICgpCUFAQunXrhqqqKuTm5uL69eu4dOkSgIb68PDwcPTu3bvNG4pJt3TBgrsHYtkPx/H3F3/HkQ33QykzDa4VSQHQZlZAX2tE6Y0qhHbxt9r7sxUSiQT+/v6orKxE165dMWTIEBw5cgS5ubmoqalBZGQkJk2ahFtvvbXDPQZEY2iNIdoDfQsJUdKlSxfI5XJejJ1oHa+++irkcjkWLVqEmJgYbNmyBRUVFaisrMSuXbvQtWtXvPbaa4iPj8fcuXOxatUqlJWVobMeKOn1ehQVFeH8+fM4fvw4tFotlEolkpOT0bVrV0ilUmRmZuLkyZO4fv06qqurHT1kUcCy8Oza5ObmIjAwEElJSUhMTIS/vz9u3LiB48ePIyMjAyUlJW26x9587hb07CGHWluNR/9vS6PftWRPLVY4jsP169fx8ccfY+LEiUhMTMTq1asxe/ZsXL58GWVlZSgrK8Mnn3yC8vJy3H777VAqlaS6YGNojSFaA5VbEHbH0lGYObm5uYiNjcW6deuQkpJiv8E5OWfOnIGfnx+6du3a5HOY2x+zx87MzMTYsWORkpLiNG5/HaGurs5E99nb25svo7Ck+8yez+pqWT2yUql02TpuS7D6WlZKYTQa+TIKS06BzMBEqCvcFmfBcxlq3Dz7e3h7SbFvzb3oGhfC/+zsz9lYM/8IAGD8v3pj1LNJVn63HaMjrnfMvj4hIQFhYWF2HrlrQGsMYS0oSCbsQnMWnaGhoXj99dcxe/ZshIeH4+rVq/jnP/+JiooKnD17lmR6bAjHccjIyODNS06dOoWRI0ciJSUFKSkpiIiIcIkgsKqqiq8vLi8vb7eGsiVlCxYw28M5z94wh0WmDCKVStulcMEyz2yzUVdXB5lMxgfNTUkMrt2SgUF9IxATaWoYUni6FF+M2A4A6DcvDjO/GtyxN2oFhK53GzZswNWrV8n1zo7QGkPYAgqSCbvQnEXnsmXLMHPmTJw8eRKlpaWIjIzErbfeijfeeIMyKXZEjG5/7UVo9qBSqVBbW2vSXGaNRdFgMJho/UokEpNMqbPWlJorUrBMu1KptIqLG8dxvBuhSqVCRUUFb1ajVCrh6+vb4mvU1xjwb8VagAMibwrBQ3sdU1NqNBpx7NgxPjAm1zvHQWsMYQsoSCYIohFCt781a9bgzz//tIvbX0dgQSs73mflAPawDRZaPatUKtTX15u4xold15ZJ3KlUKpSWliIgIIDPGPv727YpzpLtOfvbwiDzjz+zcOV6CR69ZyAA4OM+m1GSVQUPPyleLJwJiZt97kdyvSOIzgMFyQRBNAvHcSZuf9u3b0d8fDxmzJhhFbe/jmDJEIUFWO0xCrEGTPOW1e5WV1fzpQVKpVIU7oUsm8vGKJS4UyqVDlM+YYYjrJyFGXEUaCSY8eB6SKUS7Fx1Fwb1jcDKv+1H5u8FAIB/XJyC4FjbBaeWXO9SUlKQlpZGrncE4cJQkEy0G6PR6LRHygDw9ttvY82aNbh06RJ8fHwwYsQIvPvuu0hMTOSfU1tbi2effRarVq1CXV0dJk2ahKVLl3bqI7ry8nJs3LgRa9euNXH7mzlzJgYPHmxzzVHzrCezABZrI52wtKC8vBxBQUF8MGpPvWWmb8wC49raWl4XWi6XiyJ4FyI04igqKsLbX2Ri7/ESxEcHYP+ae3Hs/avYvyQDADBvzUh0nxRh1b8vdL3bvHkz/P39yfXuf9DcSXQWKEgm2oxOpxPdgtoeJk+ejDvuuAODBw+GXq/HSy+9hHPnzuHChQv8kemCBQuwadMmLF++HEFBQXj88cfh5uaG/fv3O3j04kDo9rdp06Zm3f7aC8vMskCzqqoKISEhfCmFMxl7mJcW2FopQ6hIoVarYTAY+Osml8udxkSB4zjk5Glwy+0rodLWYsrNctyd0AWn/q0BAEz8d1+M+EePDv+Nplzv0tLSMGzYMKe5XraG5k6is0BBMtFmvvnmG3z//ff45ptv0K1bt0Y/d9YMs1qthlKpxJ49ezB69GiUlZVBoVBgxYoVuO222wAAly5dQnJyMg4ePIhhw4Y5eMTiQqfTYceOHbzbn9FoxPTp05GSkoKxY8e2qVlOmEVUq9V8jS8L7lzB2IMpZTDlCC8vLz5gtiRF11qY9BoLjN3c3PjXbYsihRjZeeA6Ztz/CwDgwweGIv/1Bmm5qMm+GLc4ia+hbu21Y6VEmzZtwvr167Fz50506dIFs2bNIte7NuBqcyfHcVi5ciUGDBiA5ORkRw+HcCAUJBPtIiQkBN999x1SUlJgMBgglUrBcZzojrrbwpUrV9C9e3ecPXsWvXv3xs6dOzF+/HiUlJQgODiYf15cXByeeuopPP30044brMjR6/XYt28fr8VcUVGBSZMmITU1FRMnTrTY3GRej8qCO4VCgdDQUJcOVsw1hZlShlKpbNV7r6+v5zPtWq22Re1nZ+a5t3Zg6ffHERnij7vOKgEAyv7+GLE0AhqNBp6ens3WpXMch8LCQmzYsAHr16/H3r170bdvX8yaNQtpaWlITk52qetlD1xx7nzwwQdRUFCAhQsXYuzYsU6b/CE6BgXJRJvR6/V44IEHIJFIsHz5cv7xxYsX47PPPkN6ejr69evnuAG2A6PRiJSUFJSWlmLfvn0AgBUrVuD+++9HXV2dyXOHDBmCsWPH4t1333XEUJ0Oo9GIw4cPY82aNVi3bh3y8/MxYcIEpKamonfv3ti8eTM2b96MXr16Ye7cuXxw2Fnls5hSBqsdNhgMvFKGUKWDlW6oVCqUlJTA39+fzxj7+fm57LWrqa3HzbO/x8UrWrxTEQJdmRvqA2V4/uQwcDU10Pr785uNf//73wgMDMT06dMxcOBA7Ny5E+vXr8eRI0cwdOhQPjBOSEhw2etla1x17qyoqMDixYuxevVqnD592iVKDIm203k7D4h2YTQa4e7ujsGDB2PZsmUAgJycHLz33ntYsWIF3n77bfTq1cvBo2w7jz32GM6dO8dP8oT1cHNzw/DhwzF8+HC88847WLduHT799FM8/vjjqKmpQUBAAEaOHIl58+Zh2LBhnT5YcXNz4w0QEhMTUV5eDrVajatXr+Ls2bPw8fGB0WhEbW0tQkJCoFQq0bNnT6eqze4IPt4e+Ob96SjZtg8TX/47auGB1eUPwnvIP+BWWwP3zZuhGDgQRqMR8+bNw9dff41//OMfqK+vh0wmw6233orPPvsM/fv37/T3mjVw9rnTaDSC47hG9eYBAQFYtGgRfvjhB7z66qt48cUXERQU5KBREo6Czg6INsGOm6ZMmQKJRIL33nsP999/P86cOYNffvkFDz/8sNN1fT/++OPYuHEjdu3ahejoaP7x8PBw6HQ6lJaWmjy/qKgI4eHhdh6lc5OVlYWFCxciKSkJd911FwIDA/HJJ59g7969eOGFF6DRaDB58mRMmzYNn3/+OfLz80GHXERT9Perw5Q3F0BqrIMvKjEfS+BWUgLU1sJj0iR8snAhhg4diqeeegphYWFYtmwZ9u/fj4ULF+LatWsYPHgwRo0ahffeew/V1dWOfjtOi9jnzqbmEIPBwP+3m5sbHyBrNBr+8fr6eri5ueGFF17A7t27sX37dtsOlhAlVG5BtJs+ffrg/PnzePTRR/H6669DJpN1+DWNRiMkEoldMjwcx+GJJ57A2rVrsXv3bnTv3t3k56z5ZOXKlZg9ezYAICMjA0lJSU7RfCImTp48iY8//rjJmmRzt79Dhw5h0KBBvD22M7n9dRQqt2gFRUXwGToU0BZDYvwr4NEDKAbwwtSpGDd3LqZPn26xJpvVJG/btg0rVqxwuo29o3GGuTMjI8NEkq6ptaW4uBgLFy7EL7/8goEDB+KOO+7AggULoNfr4e7ujqKiItx7772IjY3Fl19+afNxE+KCgmSiTbDmvJycHCxcuBAGgwG//vpri89vCtYMUVJSAk9PT7u6VT366KNYsWIF0tPTTSbToKAg/uh6wYIF+P3337F8+XIEBgbiiSeeAAAcOHDAbuPsbDTl9sfsscXo9tdRhIoUGo2GGvdaQK/XI/OjjzDo1Vcb/ax2zRp4z5rlgFF1HsQ+d/7888/45Zdf8MUXX0Aul5v8TKfT4YcffsCVK1dw++23Q6vVIj09HWlpadi0aROWLFmCM2fOoHfv3vzvvPDCCzh+/Dg+//xzdO3a1ebjJ8QDBclEm2BB78aNG/HSSy/hhRdewLx583iFi6Zgx1vmz2Gvt2TJEjz//PN47rnn8MorrzSqr7SFckZTr/ftt9/ivvvuA/CXIP7KlStNBPGp3MI+NOX2x+yxHen211HsJQHHXOucXQKOud6lp6fjyIYN2FVcDBkAqXAJk0oBmQw4cwYg0wqbIda5kyVdnn/+eVy/fh0///wz9Ho93Nzc8Mcff6CsrAw7d+7Evn37EBISglOnTqFnz5748ssv0b9/fwBAcnIyJk2ahHfffZeXrfzhhx+wdOlS/Oc//8GIESNsNn5CfFCQTLSLd955Bz/++CN2797daKfOAtpDhw4hNzcXU6ZMaTZDrNfr8cgjj2DVqlUIDQ3FhQsX4O/vD6Dh2K66uhoRERFOLzFHdBxHu/11lLq6Or6MoqSkhMxEWsDc9c7Pzw+pqam46+abMfzhhyGpqQEHQGIwNATIAODjA5w7B8TFOXTshHVhoUpL3xGj0YjXX38dubm5+Oabb/jHhw0bhhs3bmDWrFlYsmQJ3N3dMXXqVOTk5OD3339HQkICAODNN9/E8uXLsWvXLsTExABo0HgeMWIEDhw4gKSkJBu9Q0KMOGdKgXAo169fx86dO5GYmAi5XN6oOYJNYlVVVXjvvfcQGRmJxMREZGVlmTyP/d6pU6egVqsxaNAgeHp6orKykn/Ohg0bEBUVhaqqKgqQCQQGBmLevHlYvXo1ioqKsGTJEpSUlOC2225DUlISnn76aezZswf19fWOHipPVVUVrl+/jiNHjmDv3r0oLCyEXC7HyJEjMXz4cHTt2hUBAQE2ub/d3Nwgk8mQnJyMm2++GTfddBO8vLxw5coV7N69G6dOnUJ+fr6orld5eTl++eUX3HnnnYiPj8f//d//ITIyEps2bUJ2djaWLl2KEXPnQrJzJ+DjA4lMBvz+e0MG2ccH2LmTAmQXRFhPbDQaYTQaLT7Pzc0Np0+fhlKphE6n49eZuXPnoqqqCkOGDIG3tzfc3d3x8MMPo76+HteuXeN//5577kFWVhYuXLjAPxYXFwej0YiqqiobvkNCjFC3AtFmfH190bt3b/Tp0wdAw4RlKSM1fvx4HD58GBcuXEB6ejq/Kzfn6NGjUKlUuPvuu7FixQr88ccfuOeee1BVVYU///wTAwYMgJ+fn0lJh8FggJubGwXOnRhfX1/MmjULs2bNMnH7u/fee3m3v9TUVIwZM6ZNbn8dhdkbs4xxdXU1ZDIZIiMj0a9fP7uORYhEIkFQUBCCgoLQrVs3VFVVQaVSIScnBxcuXOCtvpVKJby9ve02ruZc715++WUMGDDAconI4MENGWNv74bSijNngNpaCpBdlJKSEixYsAAvvPACXxphDlsjgoKCcO7cOXh6evKPjRw5EjExMdBqtfzzJ02ahGeffRYnT57EmDFj4ObmhtjYWHTv3h3bt2/n546MjAySp+ykUCaZaDNKpRJLlizB/fffD6BxnbEQiUSCXr164aWXXmpkJSyRSMBxHE6cOIHAwEA8+OCD0Gg0qK2tBdDQgb5582bcdddd/PMZUqmU/31X4u2338bgwYMREBAApVKJmTNnIiMjw+Q5Y8aM4bMq7N8jjzzioBGLA09PT0yZMgVfffUV8vPz8euvv8Lf3x9PPvkkEhISMH/+fKxbt85mmSAW6GVkZGDfvn04duwYqqur0aVLF4wZMwYDBgxAdHS0wwJkcyQSCfz9/dGlSxcMHToUo0aNgkKhgEqlwr59+3D48GFcu3bN5FTHmrDmzC+//BIzZsxAly5d8OWXX2LEiBE4ceIEzp8/j7feegsDBw5svoY6Lu6v2uOwMJcLkDv7fMA0jIEGl9cdO3Zgy5YtOHHiBJ555hn8/vvvAP46lWT3yujRo3Ho0CFwHMc/NmjQIERFReHSpUv8PBAQEICbbroJhw8fRmFhIf93J06ciFWrVqGkpAQAUFpaisLCwiaDc8J1oZpkos1wHGcy+bT3NSQSCc6fP48nn3wSAwcOxHvvvYcHHngA1dXVWLlyJTZs2IDU1FQUFhZCqWywnz106BA2bdqEkJAQ3HXXXfzjll67tY+LicmTJ+OOO+7A4MGDodfr8dJLL+HcuXO4cOECX9c9ZswY9OjRA//617/43/P19UVgYKCjhi1amnP7mzJlSodc/QwGA4qLi/l6XwC8ooRMJnPaBjmdTsc3FAqVMjrqgshxHLKzs5Genm7iejdz5kzMnj2bXO8s0BnnA47jLJ5OarVa9OnTB+Xl5TAajZgyZQpeeeUVi4HrmTNnMHDgQOzduxfDhg3js8mvvPIK9u7di8WLF2Pw4MEAgO+++w4vvPACvv/+e0ycOBFAgyxceXk54uPjATQYZu3fvx933HGHTd87IT6o3IJoM9bQMRY291VVVfEdw2FhYdizZw8AYP369ejRoweUSiUqKyvx008/4dFHH8WMGTOQm5uLxYsX4z//+Q/mzZvXaHxAQ0MgyzgLHxczW7ZsMfn/y5cvh1KpxPHjxzF69Gj+cV9fX1LYaAVCt793330Xp0+fxpo1a7BkyRIsWLAAY8eORWpqKqZNmwaZTNbiPcIUKdRqNTQaDTw8PKBUKtGvXz8EBwc7xT3WEp6enoiMjERkZCT0ej2vlHHixAlIpVJ+I9AapQyO45CZmYn169cjPT0dZ8+exc0334x58+bhl19+QVRUlEtcM1vRGecDiUTCB8g7duzAgQMHMG3aNERGRiIuLg5Hjx7FsWPHms3qJicnY/jw4fjss89MGnonTZqErVu34vjx43yQPGPGDKxZs8Yk4cIcLxnR0dEUIHdSnDPVQTg9bHE9deoUgoODMWrUKADAgAEDUFNTg127dpns3H/77TcsXboUr7zyCtatW4djx45h/vz5ePvtt1FWVgagIWu4bNky/ojY3d2dX4CfffZZvhGDHZ4IXZfECntvwgkbAH766SfI5XL07t0bL774IrmGtQI3NzcMGDAAb7zxBs6ePYvTp09j9OjR+Oabb9C1a9cm3f6ys7Px559/4sSJE9izZw+uX78OPz8/3rUtMTERISEhLhnsubu7IywsDH369MEtt9yCXr16geM4nDt3Dnv27MG5c+ewfft2VFRU8L9jNBpx5swZvPHGGxgyZAiGDRuGw4cP47HHHkN+fj527NiBxx9/HNHR0S55zWyJs80HLCtsCYPB0OQcvHTpUkRHR+Ouu+7C+fPnce7cOYSEhODgwYMIDw/Htm3bmv27Hh4eeP7557Fjxw6T5w4bNgy1tbU4efIkdDodgIZrmZ6ejn79+jX5enSfdl6o3IJwGBcvXsSdd96JIUOG4PPPPwcA5OXlIT4+Hu+//z6eeeYZXLlyBQkJCZg5cyZ8fX3x3nvv8fanu3fvxoIFC/DBBx9g8uTJ2LJlC6ZOnYr/+7//Q05ODhQKBRYsWABvb29ER0fj2LFjuOmmm1BfXw8PDw+89dZbuHHjBt58802LZRuOxmg0IiUlBaWlpdi3bx//+Jdffom4uDhERkbizJkzeP755zFkyBCsWbPGgaN1XjiOw/Xr1/mSjEOHDqF3794IDQ1Fbm4ubzrwyiuvQKlUwtfX19FDdjgcx6GsrAxFRUWYM2cObty4gV69eiE0NBRXrlyBWq3GpEmTkJaW1qTrHdE2nGU+aKpcgv0MaD7ozMvLw5w5czBz5kwsXLgQAFBZWcnLgv7973/H6dOnsXfv3kZ9LuY89NBDuH79On788UeE/a92/cSJE0hOTm6kxc80lglCCJVbEA4jJiYGTz31FCIjI/nHJBIJBg0ahLfffhvJyclISEhAcXEx8vLyMGPGDERERPDP9ff3R0FBAR+0sCaOixcvYvTo0cjMzMQ//vEPbNq0CaGhodBoNAAasgxVVVU4d+4cSkpKEBISYsd33Xoee+wxnDt3zmRBBICHH36Y/+8+ffogIiIC48ePx9WrV8kNqh1IJBLEx8dj/PjxKCsrg1arxdmzZxEYGIiysjIkJiaiR48eqK2tbbSwdlZY49+ZM2cwduxYrFmzBufPn4evry8qKiowevRoTJgwAWPHjkVwcLCjh+sSOMt8ICyXOHr0KL766itkZWVh+/btfHCs0+mwatUqrFixAvX19bjtttswffp0xMTEYN++fSgpKUGfPn3AcRyysrL42mAAmDNnDr799ltkZ2ejS5cuzfaf/Pvf/8b999+PZ555Bu+++y6io6Nx0003WRw3BciEJeiuIByGv78/7rnnHkyYMAFAw04+MjISYWFhUKlUmDt3Lv94cHAwKisr+cmX4zgcPXoUBoOBr837448/cPvtt+O///0vnnzySXz88cdYvXo1EhISIJfLMXv2bCiVSpw4cQIXLlxAXl4exo4dy2cjDAaDaNQyHn/8cWzcuBG7du3iM+dNMXToUADAlStX7DE0l+PcuXPo2rUrRo0ahYsXL+Lll1+GVqvla3EXLlyI48ePY8SIERg0aBBef/11nDp1qsljZFdGp9Nh27ZteOyxx9CtWzfcfffd0Ov1WL58OcrKylBSUoIrV64gJSUFP//8M+Li4nDzzTc7RWmTmHGm+eDIkSO4++67ERwcjHHjxkGtVuOpp57i59bs7Gw8/PDD+M9//sOXLH355Ze8IsfQoUMxcOBAzJw5E4MGDcJzzz2HPn364PHHH0dFRQXGjRuH4OBgrF69mg+QhSV3wF/KSQqFAp988gl69eplFztswgXhCMKBGI3GRo8VFxdzn3zyCVdYWMg/Nn/+fG7kyJFcaWkpx3Ect3XrVm7EiBHcnXfeyXEcx/3xxx9cTEwM99tvv5m8blZWFieVSrmjR49yHMdxBw4c4Gpra7nPPvuMGzNmDLdy5UouIyPDpu+xLRiNRu6xxx7jIiMjuczMzFb9zr59+zgA3OnTp208OtekqqqKW79+PVddXd3s88rKyriffvqJu+222zh/f38uPj6ee/LJJ7kdO3Zw5eXlXFVVlUv+U6vV3MqVK7m5c+dyQUFBXGRkJLdgwQJux44dXH19fbPXTKVScZs2bbLmx9WpcLb5ID09nfPz8+MGDRrEHThwwOJ3Kicnh/vkk0+4kpIS/rGff/6Zk0gk3IULFziO47iioiJu8+bN3ObNm7mffvqJW7x4MRcdHc19+OGHHMdx3FNPPcXFxsZykydP5qKjo7lXXnml2XEZDAaLaw1BtATVJBNOQUZGBubOnYuKigqMGjUKGzZswIQJE/Daa68hOTkZjzzyCDIzM/H555+jR48efH3Zhx9+iMWLF/ONH0BDNmz+/PnYtm0bJk6ciEuXLuHq1at488038eijjzZZL8f97wivoKAApaWlSE5Otvr7fPTRR7FixQqkp6cjMTGRfzwoKAg+Pj64evUqVqxYgalTp0Imk+HMmTN4+umnER0dzauCELanuroaW7Zswdq1a7Fp0yb4+Phg+vTpmDlzJkaOHAl3d+euZCsvL8eWLVuQnp6Obdu28Rq9s2fPxrBhw0RvZ+0qOMt8wAkkPZ999ln06dMHixcvbvL59fX1KCkpwaeffoqffvoJ5eXl0Gq1WLRoEV599dVGzy8qKsLEiRNx++234+WXX0Z5eTl+++03nD59GtOnT+dPIwnC2lCQTIgSzoKmcV1dHVauXIlDhw5hxIgRuO222/h65L59+2LGjBl4+eWX4ePjw//+iBEj0LNnT3z99df8YydOnMD999+PiIgI/Oc//0HPnj3xzjvvYPny5Thw4ABkMlmT4ykpKcG9994Lf39/vPvuu026CLaXpgL0b7/9Fvfddx9ycnJw11134dy5c6iqqkJMTAzvTOasuqjOTl1dHXbu3Ik1a9YgPT0dHMdh2rRpDnH7ay9cM653aWlpTbveETbF2eaD2tpavPzyy9i/fz8OHjwIAFi9ejW+/fZbeHh44PPPP0dERATq6urw+OOPIzMzEw899BCmTZuGV199FXv37sWhQ4cANPSYREZG4sqVK1ixYgV0Oh1+/vlni/MzQdgK5053EC6L+eLAcRy8vLxw33334b777jP52ZEjR5CZmYlevXrxjVUsoD1+/Dhef/11k+fv378fXl5eeO6559CrVy8AQFJSEjiOw9mzZzFmzBiL4+E4Ds8++yzq6+uxbNkyBAUFAbBuV3RLe9aYmBjKGIsMLy8vTJkyBVOmTMGyZcuwb98+/Prrr3jyySdRUVGByZMnIyUlBRMnTuQNIMQAx3EoLCzExo0bkZ6ejr1796JPnz6YNWsW3n//fSQnJ5MihYOx53zAWcEkytvbGwMGDMDatWvRt29f5ObmQqFQ4NZbb8W9997Lqwjt3bsX33//PXbs2IFRo0ahvr4epaWluHr1KjIzM9G3b18cPnwYW7duRWVlJWbMmIEnnniiUYDMtUItgyA6AgXJhFPAJkHzSZHjOAwZMgQHDhzglS+Yu9KZM2dgNBr5RheJRAKDwYCTJ09CqVTyDS4AUFBQgJCQEF5myFIme9myZdi5cyfWrVuHoKAg/jlsUTEajVYxWiGcF3d3d4wZMwZjxozBxx9/jMOHD+O3337Dq6++ioceeggTJ05ESkpKh93+2gsncL3bsGEDjhw5giFDhmDmzJn4+uuvyfWuE8PmLp1OB09Pzzb/PpsP+/bti9jYWJSVleH48eOIiIiAt7e3yXNDQkJQX1/Pl+0cO3YMlZWVqKqqwm+//Ya+ffviySefxNNPP92sSQrdq4StofMzwqkwD0LZf9900018kMwm3ujoaAwbNgz/+Mc/sGvXLgANSgbZ2dno27cvHxDX1NTg7Nmz8Pf3x4ABA0xelwXlZ8+exUcffYSHHnoI/fv3h16vh0QiwenTp6FSqQA0SAi58qS9bNky9O3bF4GBgQgMDMTw4cOxefNm/ue1tbV47LHHIJPJ4O/vj9mzZ6OoqMiBI3YszO3v/fffR2ZmJvbt24c+ffpgyZIliI+Px+zZs/Hdd99Bo9HYVFWF+5/r3eLFi3HzzTejb9+++OOPP3DHHXfg2rVr2LdvH5577rkm5bQ6A53t3mb3m/l9N2fOHDz//PPQ6/VN/m5TJiDs3unSpQv69u0LHx8fJCQkwNvbG0aj0eRvDRw4EGPHjsU999yDxMREzJgxA3fddRcOHDiAxx9/HAAQFRWF8PDwZg1JCMLWUJBMuCxdu3bF559/jsjISDzxxBMoKCjA/v37UVRUhFtuuYV/3sWLF5GRkYEhQ4ZAKpWaTMhs4t+xYwdqa2uxYMECAH8tLnfccQfmz5+Pb775Bm+99RYyMzNNfg402GObL0a1tbW2edM2JDo6Gu+88w6OHz+OY8eOYdy4cUhNTcX58+cBAE8//TQ2bNiA1atXY8+ePcjPz0daWpqDRy0OWuP298UXXzRy+2sv5q53Q4cObeR698QTT5Dr3f/obPe2RCJBcXEx/9kbjUZoNBrs3bsXt9xyC9zd3ZsMTKVSKaRSKaqrq3nXOiF+fn4YMGAAtFotL7vGEgiXL1/Gzp07AQA//PAD/vWvf+Ef//gHLly4wDeFKhSKRmOlenjCYdhSOoMgxMb69eu5+fPnm8gPff3119zgwYO5HTt2cBzXIBckpKCggJszZw6XlpbGcRzH6fV6juM4rqamhvP09OSUSiX38ssvc1OnTuUCAgL41ykqKrI4hrKyMu6RRx7hvvrqK2u/PbsTEhLCff3111xpaSnn4eHBrV69mv/ZxYsXOQDcwYMHHThCcWM0GrmsrCzu/fff50aOHMlJpVJu2LBh3L///W/u3LlzXGVlZaul2ioqKrhdu3ZxTz31FNelSxfO19eXmzVrFvfDDz9wJSUlJIHVRlz53n7rrbe46OhobvHixZxOp+M4juP++9//cgkJCVx5eXmjOZBRU1PDffbZZ9ywYcM4iUTC7d271+Tn7B47fvw4N3bsWG7RokWcSqXiXnzxRS4xMZGTSCTcrFmzLL52U3+TIBwJBcmES2M0Gvmg1hL19fXcgw8+yPXq1Yurqamx+Jzr169zvXr14j777DOO4zj+ecuXL+d8fX35xbO2tpabPn06N2HCBG7x4sXcuHHjuMjISO7999/nx8D+d86cOdxLL73EcZxzLg56vZ5buXIl5+npyZ0/f57bsWMHB8Bk88FxHBcbG8stWbLEMYN0MoxGI5eXl8d9+umn3Pjx4zkPDw+uf//+3KuvvsodP37cYsBcVlbGbd68mXvkkUe46OhoLigoiJs7dy63evVqrqKiwtFvySnpDPd2eXk5980333AxMTHc3LlzOb1ezz311FPc5MmTm/29LVu2cKmpqdwbb7zRrA5zWVkZd/fdd3MSiYSTSqXciBEjuK+//tqibjJt3ggxQ417hEsjtEgFGitRuLu745133sH58+f52jnzoz1/f39kZGTwqhfs58uXL8eUKVMwceJEAA0qB1FRUfjll18wbtw4/Pjjj1i5ciW++OILTJs2DUlJSfxYEhISUFlZ2e4mGUdx9uxZDB8+HLW1tfD398fatWvRs2dPnDp1Cp6eno0siMPCwlBYWOiYwToZEokEkZGReOyxx/Doo49Cq9Vi/fr1WLNmDd59910kJCQgJSUF06dPh1arRXp6OjZt2gSO45CSkoJly5ZhwoQJjZqkiNbRme7tgIAAzJ8/H3369MHs2bORmpqKnTt3Yvny5QCaVuyZMGECJk2a1OLrBwYG4v7778fdd9+N8ePHm7yW+WtTuQ8hZihIJjoVliZ+mUzGW1sLf879r1s7OzsbERER8Pf3B8dx8PT0hNFoxL59+/DVV1/xeqRGoxF//PEH/v73v+Of//wnpFIppk6dik8//RTbtm1DUlISv0D4+/tjz549ThUgA0BiYiJOnTqFsrIy/Prrr7j33ntJks4GSCQSyOVyzJ8/H/Pnz0dZWRk2bdqENWvWYOzYsfD398e8efOwcuVKjB49mrdWJ9pPZ7u3jUYjBg8ejN27d+O1115DbW0t8vPzATTMg5YC5baYyIwdO9bkb7Gma6ovJpwJCpIJoglYhsPHxwd9+vTB9evXERsbCwD47bffEBQUhCFDhvDPO336NG7cuIE5c+bwi4mbmxuKiorQv39/AA1OU15eXjh9+jQvTWdNnWVb4+npiW7dugFo6FA/evQoPvroI8yZMwc6nQ6lpaUmGbeioqJmJZyI1hEUFIR58+Zh3rx5yM7ORlBQEK/TTViHznZvszknISEBwcHBCAkJweLFi6FSqfDvf//bqnOSs8xvBGEO3bkE0QJJSUk4d+6cSbf3+++/j549eyIqKop/7LfffkNiYqKJfez+/fsBAMOHDwcA3n3t2LFj6Nevn1MFyJYwGo2oq6vDwIED4eHhgR07dvA/y8jIQHZ2Nv/eCesQGxtLAbId6Cz3tk6nw4oVK7B69Wq8++67+OKLLzB//nxcu3bN0UMjCIdDmWSCaIH6+nq8+uqrJlmkRYsWwcvLCwEBAfxjK1euxNy5c3nXv9raWqxbtw7jxo2Du7s76uvr4eHhgXPnzqGmpgbJyclOFSC/+OKLmDJlCmJjY1FRUYEVK1Zg9+7d2Lp1K4KCgvDAAw/gmWeeQWhoKAIDA/HEE09g+PDhGDZsmKOHThDN0pnv7T179iAkJAQymQzjxo1DREQE3njjDUybNg2vvfYa5syZ4/SbeYJoLxQkE0QLeHh4YP78+airq+MfmzJlislz8vPzUVZWhsmTJ5s8duDAASxduhTAX+UbX3/9NaKjo3lLbGdBpVLhnnvuQUFBAYKCgtC3b19s3bqVb1z84IMP4ObmhtmzZ6Ourg6TJk3i3ztBiJnOeG+znov9+/cjNDSUP9kaP348+vXrh5dffhnl5eUAqFyC6LxIOM6GVk8E4aJwFmyrAdP64m+//RYPPPAAKioq4OfnBwDIzc1Fr169sHjxYjz00EPU2U0QhMOoqanBoEGDMH/+fDz77LMAmp7bCKIzQttDgmgH5osIq1cWZlzGjBmDzz//nA+Q1Wo13n//fSQkJODhhx+mhYggCIdSWlqKmJgYTJs2jX9MOC+RHTTR2aFMMkHYiQULFiA3NxdPPfUUxo8fT3V+BEEQBCFiaIUmCBsh3H/u3bsXKpUKb7zxBsaPHw+A6vysybJly9C3b18EBgYiMDAQw4cPx+bNm/mfjxkzhtdpZf8eeeQRB46480GfkXihjDFBWIYyyQRhB+rr61FXVwd/f39HD8Ul2bBhA6RSKbp37w6O4/Ddd99h8eLFOHnyJHr16oUxY8agR48e+Ne//sX/jq+vL28EQ9ge+owIgnA2SN2CIOyAh4cHuaLZkBkzZpj8/7feegvLli3DoUOHeBURX19fpzZ/cHboMyIIwtmg816CIFwKg8GAVatWoaqqysTs4aeffoJcLkfv3r3x4osvorq62oGj7NzQZ0QQhDNAmWSCIFyCs2fPYvjw4aitrYW/vz/Wrl2Lnj17AgDmzZuHuLg4REZG4syZM3j++eeRkZGBNWvWOHjUnQv6jAiCcCaoJpkgCJdAp9MhOzsbZWVl+PXXX/H1119jz549fBAmZOfOnRg/fjyuXLmCrl27OmC0nRP6jAiCcCYoSCYIwiWZMGECunbtii+++KLRz6qqquDv748tW7Zg0qRJDhgdAdBnRBCEuKGaZIIgXBKj0WhiJS7k1KlTAICIiAg7jogwhz4jgiDEDNUkEwTh9Lz44ouYMmUKYmNjUVFRgRUrVmD37t3YunUrrl69ihUrVmDq1KmQyWQ4c+YMnn76aYwePRp9+/Z19NA7DfQZEQThbFCQTBCE06NSqXDPPfegoKAAQUFB6Nu3L7Zu3YqJEyciJycH27dvx4cffoiqqirExMRg9uzZePnllx097E4FfUYEQTgbVJNMEARBEARBEGZQTTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmPH/QCLnHi68oqgAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Note: flight.info() is not fully supported for 3 DOF simulations\n", "# We'll display the 3D trajectory instead\n", @@ -481,9 +960,37 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 21, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.685889Z", + "iopub.status.busy": "2025-11-27T09:14:08.685714Z", + "iopub.status.idle": "2025-11-27T09:14:08.857640Z", + "shell.execute_reply": "2025-11-27T09:14:08.856686Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Altitude over time\n", "flight_3dof.altitude.plot()\n", @@ -496,9 +1003,37 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 22, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:08.859280Z", + "iopub.status.busy": "2025-11-27T09:14:08.859109Z", + "iopub.status.idle": "2025-11-27T09:14:09.030088Z", + "shell.execute_reply": "2025-11-27T09:14:09.029387Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Vertical velocity over time\n", "flight_3dof.vz.plot()\n", @@ -511,8 +1046,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 23, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.031905Z", + "iopub.status.busy": "2025-11-27T09:14:09.031746Z", + "iopub.status.idle": "2025-11-27T09:14:09.045076Z", + "shell.execute_reply": "2025-11-27T09:14:09.044355Z" + } + }, "outputs": [], "source": [ "# Note: Acceleration properties require post-processing which\n", @@ -522,9 +1064,37 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 24, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.046736Z", + "iopub.status.busy": "2025-11-27T09:14:09.046563Z", + "iopub.status.idle": "2025-11-27T09:14:09.215359Z", + "shell.execute_reply": "2025-11-27T09:14:09.214545Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Total velocity over time\n", "flight_3dof.speed.plot()\n", @@ -553,9 +1123,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 25, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.217052Z", + "iopub.status.busy": "2025-11-27T09:14:09.216869Z", + "iopub.status.idle": "2025-11-27T09:14:09.332583Z", + "shell.execute_reply": "2025-11-27T09:14:09.331652Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Compare altitude profiles\n", "fig, ax = plt.subplots(figsize=(10, 6))\n", @@ -573,9 +1161,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 26, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.334137Z", + "iopub.status.busy": "2025-11-27T09:14:09.333967Z", + "iopub.status.idle": "2025-11-27T09:14:09.520854Z", + "shell.execute_reply": "2025-11-27T09:14:09.520105Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Compare vertical velocity profiles\n", "fig, ax = plt.subplots(figsize=(10, 6))\n", @@ -593,9 +1199,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 27, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.522702Z", + "iopub.status.busy": "2025-11-27T09:14:09.522521Z", + "iopub.status.idle": "2025-11-27T09:14:09.640202Z", + "shell.execute_reply": "2025-11-27T09:14:09.639364Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Note: Vertical acceleration comparison is skipped as\n", "# 3 DOF post-processing is not fully supported\n", @@ -612,9 +1236,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 28, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.641838Z", + "iopub.status.busy": "2025-11-27T09:14:09.641668Z", + "iopub.status.idle": "2025-11-27T09:14:09.755440Z", + "shell.execute_reply": "2025-11-27T09:14:09.754810Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Compare speed profiles\n", "fig, ax = plt.subplots(figsize=(10, 6))\n", @@ -639,9 +1281,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 29, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.757373Z", + "iopub.status.busy": "2025-11-27T09:14:09.757214Z", + "iopub.status.idle": "2025-11-27T09:14:09.885292Z", + "shell.execute_reply": "2025-11-27T09:14:09.884366Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Compare ground tracks (X-Y plane)\n", "fig, ax = plt.subplots(figsize=(10, 8))\n", @@ -672,8 +1332,15 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 30, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.886966Z", + "iopub.status.busy": "2025-11-27T09:14:09.886806Z", + "iopub.status.idle": "2025-11-27T09:14:09.900574Z", + "shell.execute_reply": "2025-11-27T09:14:09.899901Z" + } + }, "outputs": [], "source": [ "# Extract key metrics\n", @@ -701,9 +1368,36 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 31, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.902283Z", + "iopub.status.busy": "2025-11-27T09:14:09.902127Z", + "iopub.status.idle": "2025-11-27T09:14:09.915655Z", + "shell.execute_reply": "2025-11-27T09:14:09.915044Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "COMPARISON: 6 DOF vs 3 DOF Flight Simulation\n", + "================================================================================\n", + "Metric 6 DOF 3 DOF Difference Diff %\n", + "--------------------------------------------------------------------------------\n", + "Apogee (AGL) 460.55 460.85 0.30 0.07%\n", + "Time to Apogee 10.61 10.61 0.00 0.00%\n", + "Max Velocity 86.22 86.23 0.01 0.01%\n", + "Impact X -0.29 31.18 31.47 -10989.41%\n", + "Impact Y -8.15 39.81 47.96 -588.39%\n", + "Impact Velocity -19.57 -19.57 0.00 -0.00%\n", + "Flight Duration 35.54 35.50 -0.04 -0.12%\n", + "================================================================================\n" + ] + } + ], "source": [ "# Print comparison table\n", "print(\"=\" * 80)\n", @@ -735,9 +1429,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 32, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.917397Z", + "iopub.status.busy": "2025-11-27T09:14:09.917244Z", + "iopub.status.idle": "2025-11-27T09:14:09.929858Z", + "shell.execute_reply": "2025-11-27T09:14:09.929077Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Apogee (AGL)\n", + "6 DOF: 460.55 m\n", + "3 DOF: 460.85 m\n", + "Absolute difference: 0.30 m\n", + "Relative difference: 0.07 %\n" + ] + } + ], "source": [ "# Apogee comparison\n", "apogee_6dof = flight_6dof.apogee - env.elevation\n", @@ -753,9 +1466,29 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 33, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.931257Z", + "iopub.status.busy": "2025-11-27T09:14:09.931104Z", + "iopub.status.idle": "2025-11-27T09:14:09.943735Z", + "shell.execute_reply": "2025-11-27T09:14:09.942955Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Max Velocity\n", + "6 DOF: 86.22 m/s\n", + "3 DOF: 86.23 m/s\n", + "Absolute difference: 0.01 m/s\n", + "Relative difference: 0.01 %\n" + ] + } + ], "source": [ "# Max velocity comparison\n", "print(\"\\nMax Velocity\")\n", @@ -768,9 +1501,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 34, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.945175Z", + "iopub.status.busy": "2025-11-27T09:14:09.945020Z", + "iopub.status.idle": "2025-11-27T09:14:09.957245Z", + "shell.execute_reply": "2025-11-27T09:14:09.956626Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Max Acceleration (6 DOF only)\n", + "6 DOF: 58.47 m/s²\n", + "3 DOF: Not available (post-processing not supported)\n" + ] + } + ], "source": [ "# Max acceleration comparison\n", "# Note: max_acceleration is not available for 3 DOF simulations\n", @@ -782,9 +1533,32 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 35, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.958930Z", + "iopub.status.busy": "2025-11-27T09:14:09.958777Z", + "iopub.status.idle": "2025-11-27T09:14:09.971966Z", + "shell.execute_reply": "2025-11-27T09:14:09.971181Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Landing Coordinates\n", + "6 DOF: X = -0.29 m, Y = -8.15 m\n", + "3 DOF: X = 31.18 m, Y = 39.81 m\n", + "\n", + "Landing distance from launch:\n", + "6 DOF: 8.16 m\n", + "3 DOF: 50.57 m\n", + "Distance between landing points: 57.36 m\n" + ] + } + ], "source": [ "# Landing coordinates comparison\n", "print(\"\\nLanding Coordinates\")\n", @@ -805,9 +1579,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 36, + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-27T09:14:09.973371Z", + "iopub.status.busy": "2025-11-27T09:14:09.973218Z", + "iopub.status.idle": "2025-11-27T09:14:09.985499Z", + "shell.execute_reply": "2025-11-27T09:14:09.984917Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Flight Duration\n", + "6 DOF: 35.54 s\n", + "3 DOF: 35.50 s\n", + "Absolute difference: 0.04 s\n" + ] + } + ], "source": [ "# Flight time comparison\n", "print(\"\\nFlight Duration\")\n", @@ -857,7 +1650,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.12.3" } }, "nbformat": 4, From 4846178f55e05b31e206dd8ad825b2ba67b44083 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 27 Nov 2025 09:37:31 +0000 Subject: [PATCH 55/56] Document 3 DOF lateral motion limitation and update guidance Co-authored-by: aZira371 <99824864+aZira371@users.noreply.github.com> --- docs/examples/bella_lui_3dof_flight_sim.ipynb | 398 ++++++++++-------- 1 file changed, 212 insertions(+), 186 deletions(-) diff --git a/docs/examples/bella_lui_3dof_flight_sim.ipynb b/docs/examples/bella_lui_3dof_flight_sim.ipynb index 7c04c2300..3eda94567 100644 --- a/docs/examples/bella_lui_3dof_flight_sim.ipynb +++ b/docs/examples/bella_lui_3dof_flight_sim.ipynb @@ -13,6 +13,15 @@ "- **3 DOF Simulation**: Models the rocket as a point mass, considering only translational motion (x, y, z).\n", "- **6 DOF Simulation**: Full simulation including rotational dynamics (pitch, yaw, roll).\n", "\n", + "## Important Note on 3 DOF Limitations\n", + "\n", + "The current RocketPy 3 DOF implementation has a known limitation regarding lateral (X, Y) motion:\n", + "\n", + "- **Vertical metrics (apogee, max speed)** are highly accurate as they are dominated by thrust, drag, and gravity.\n", + "- **Lateral metrics (impact X, Y)** may show significant discrepancies because the 3 DOF model maintains a fixed rocket orientation throughout flight rather than assuming the rocket naturally aligns with its velocity vector (weathercocking).\n", + "\n", + "This means thrust and drag forces are applied along the initial launch direction rather than being continuously reoriented along the flight path. For trajectories with minimal lateral motion (near-vertical flights), this is acceptable. For trajectories with significant lateral components, the 6 DOF simulation provides more accurate results.\n", + "\n", "Permission to use flight data given by Antoine Scardigli, 2020 (EPFL Rocket Team)" ] }, @@ -21,10 +30,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:05.520274Z", - "iopub.status.busy": "2025-11-27T09:14:05.520067Z", - "iopub.status.idle": "2025-11-27T09:14:05.718841Z", - "shell.execute_reply": "2025-11-27T09:14:05.718120Z" + "iopub.execute_input": "2025-11-27T09:37:05.063210Z", + "iopub.status.busy": "2025-11-27T09:37:05.063037Z", + "iopub.status.idle": "2025-11-27T09:37:05.476560Z", + "shell.execute_reply": "2025-11-27T09:37:05.475758Z" } }, "outputs": [], @@ -38,10 +47,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:05.720605Z", - "iopub.status.busy": "2025-11-27T09:14:05.720437Z", - "iopub.status.idle": "2025-11-27T09:14:07.181599Z", - "shell.execute_reply": "2025-11-27T09:14:07.180924Z" + "iopub.execute_input": "2025-11-27T09:37:05.479059Z", + "iopub.status.busy": "2025-11-27T09:37:05.478874Z", + "iopub.status.idle": "2025-11-27T09:37:06.390239Z", + "shell.execute_reply": "2025-11-27T09:37:06.389485Z" } }, "outputs": [], @@ -59,10 +68,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.183862Z", - "iopub.status.busy": "2025-11-27T09:14:07.183592Z", - "iopub.status.idle": "2025-11-27T09:14:07.346467Z", - "shell.execute_reply": "2025-11-27T09:14:07.345710Z" + "iopub.execute_input": "2025-11-27T09:37:06.392794Z", + "iopub.status.busy": "2025-11-27T09:37:06.392498Z", + "iopub.status.idle": "2025-11-27T09:37:06.480886Z", + "shell.execute_reply": "2025-11-27T09:37:06.480162Z" } }, "outputs": [], @@ -84,10 +93,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.348801Z", - "iopub.status.busy": "2025-11-27T09:14:07.348598Z", - "iopub.status.idle": "2025-11-27T09:14:07.364152Z", - "shell.execute_reply": "2025-11-27T09:14:07.363481Z" + "iopub.execute_input": "2025-11-27T09:37:06.483297Z", + "iopub.status.busy": "2025-11-27T09:37:06.483094Z", + "iopub.status.idle": "2025-11-27T09:37:06.497619Z", + "shell.execute_reply": "2025-11-27T09:37:06.496903Z" } }, "outputs": [], @@ -149,10 +158,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.365943Z", - "iopub.status.busy": "2025-11-27T09:14:07.365780Z", - "iopub.status.idle": "2025-11-27T09:14:07.388541Z", - "shell.execute_reply": "2025-11-27T09:14:07.387891Z" + "iopub.execute_input": "2025-11-27T09:37:06.499218Z", + "iopub.status.busy": "2025-11-27T09:37:06.499054Z", + "iopub.status.idle": "2025-11-27T09:37:06.521242Z", + "shell.execute_reply": "2025-11-27T09:37:06.520482Z" } }, "outputs": [], @@ -180,10 +189,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.390182Z", - "iopub.status.busy": "2025-11-27T09:14:07.390027Z", - "iopub.status.idle": "2025-11-27T09:14:07.590983Z", - "shell.execute_reply": "2025-11-27T09:14:07.590150Z" + "iopub.execute_input": "2025-11-27T09:37:06.522844Z", + "iopub.status.busy": "2025-11-27T09:37:06.522671Z", + "iopub.status.idle": "2025-11-27T09:37:06.708268Z", + "shell.execute_reply": "2025-11-27T09:37:06.707408Z" } }, "outputs": [ @@ -270,10 +279,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.621054Z", - "iopub.status.busy": "2025-11-27T09:14:07.620835Z", - "iopub.status.idle": "2025-11-27T09:14:07.746974Z", - "shell.execute_reply": "2025-11-27T09:14:07.746291Z" + "iopub.execute_input": "2025-11-27T09:37:06.737088Z", + "iopub.status.busy": "2025-11-27T09:37:06.736853Z", + "iopub.status.idle": "2025-11-27T09:37:06.856790Z", + "shell.execute_reply": "2025-11-27T09:37:06.856026Z" } }, "outputs": [ @@ -354,10 +363,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.748918Z", - "iopub.status.busy": "2025-11-27T09:14:07.748756Z", - "iopub.status.idle": "2025-11-27T09:14:07.769949Z", - "shell.execute_reply": "2025-11-27T09:14:07.769261Z" + "iopub.execute_input": "2025-11-27T09:37:06.858756Z", + "iopub.status.busy": "2025-11-27T09:37:06.858574Z", + "iopub.status.idle": "2025-11-27T09:37:06.878542Z", + "shell.execute_reply": "2025-11-27T09:37:06.877820Z" } }, "outputs": [], @@ -384,10 +393,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.771426Z", - "iopub.status.busy": "2025-11-27T09:14:07.771269Z", - "iopub.status.idle": "2025-11-27T09:14:07.798482Z", - "shell.execute_reply": "2025-11-27T09:14:07.797601Z" + "iopub.execute_input": "2025-11-27T09:37:06.880155Z", + "iopub.status.busy": "2025-11-27T09:37:06.880010Z", + "iopub.status.idle": "2025-11-27T09:37:06.904956Z", + "shell.execute_reply": "2025-11-27T09:37:06.904286Z" } }, "outputs": [], @@ -419,10 +428,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.799983Z", - "iopub.status.busy": "2025-11-27T09:14:07.799816Z", - "iopub.status.idle": "2025-11-27T09:14:07.812106Z", - "shell.execute_reply": "2025-11-27T09:14:07.811337Z" + "iopub.execute_input": "2025-11-27T09:37:06.906507Z", + "iopub.status.busy": "2025-11-27T09:37:06.906353Z", + "iopub.status.idle": "2025-11-27T09:37:06.916955Z", + "shell.execute_reply": "2025-11-27T09:37:06.916300Z" } }, "outputs": [], @@ -443,10 +452,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.813642Z", - "iopub.status.busy": "2025-11-27T09:14:07.813458Z", - "iopub.status.idle": "2025-11-27T09:14:07.826140Z", - "shell.execute_reply": "2025-11-27T09:14:07.825500Z" + "iopub.execute_input": "2025-11-27T09:37:06.918518Z", + "iopub.status.busy": "2025-11-27T09:37:06.918379Z", + "iopub.status.idle": "2025-11-27T09:37:06.929210Z", + "shell.execute_reply": "2025-11-27T09:37:06.928542Z" } }, "outputs": [], @@ -491,10 +500,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.827882Z", - "iopub.status.busy": "2025-11-27T09:14:07.827716Z", - "iopub.status.idle": "2025-11-27T09:14:07.840242Z", - "shell.execute_reply": "2025-11-27T09:14:07.839631Z" + "iopub.execute_input": "2025-11-27T09:37:06.930664Z", + "iopub.status.busy": "2025-11-27T09:37:06.930508Z", + "iopub.status.idle": "2025-11-27T09:37:06.940477Z", + "shell.execute_reply": "2025-11-27T09:37:06.939900Z" } }, "outputs": [ @@ -568,10 +577,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:07.842031Z", - "iopub.status.busy": "2025-11-27T09:14:07.841865Z", - "iopub.status.idle": "2025-11-27T09:14:08.145014Z", - "shell.execute_reply": "2025-11-27T09:14:08.144176Z" + "iopub.execute_input": "2025-11-27T09:37:06.942095Z", + "iopub.status.busy": "2025-11-27T09:37:06.941944Z", + "iopub.status.idle": "2025-11-27T09:37:07.206214Z", + "shell.execute_reply": "2025-11-27T09:37:07.205448Z" } }, "outputs": [], @@ -591,10 +600,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.146693Z", - "iopub.status.busy": "2025-11-27T09:14:08.146506Z", - "iopub.status.idle": "2025-11-27T09:14:08.420135Z", - "shell.execute_reply": "2025-11-27T09:14:08.419412Z" + "iopub.execute_input": "2025-11-27T09:37:07.208478Z", + "iopub.status.busy": "2025-11-27T09:37:07.208287Z", + "iopub.status.idle": "2025-11-27T09:37:07.478752Z", + "shell.execute_reply": "2025-11-27T09:37:07.477855Z" } }, "outputs": [ @@ -640,21 +649,21 @@ "Burn out State\n", "\n", "Burn out time: 2.430 s\n", - "Altitude at burn out: 529.977 m (ASL) | 122.977 m (AGL)\n", - "Rocket speed at burn out: 85.172 m/s\n", - "Freestream velocity at burn out: 85.220 m/s\n", + "Altitude at burn out: 529.978 m (ASL) | 122.978 m (AGL)\n", + "Rocket speed at burn out: 85.174 m/s\n", + "Freestream velocity at burn out: 85.222 m/s\n", "Mach Number at burn out: 0.251\n", - "Kinetic energy at burn out: 6.611e+04 J\n", + "Kinetic energy at burn out: 6.612e+04 J\n", "\n", "\n", "Apogee State\n", "\n", "Apogee Time: 10.608 s\n", - "Apogee Altitude: 867.550 m (ASL) | 460.550 m (AGL)\n", + "Apogee Altitude: 867.562 m (ASL) | 460.562 m (AGL)\n", "Apogee Freestream Speed: 3.974 m/s\n", - "Apogee X position: -9.652 m\n", - "Apogee Y position: -21.283 m\n", - "Apogee latitude: 47.2132845°\n", + "Apogee X position: -9.653 m\n", + "Apogee Y position: -21.285 m\n", + "Apogee latitude: 47.2132844°\n", "Apogee longitude: 9.0032081°\n", "\n", "\n", @@ -663,15 +672,15 @@ "Parachute: Drogue\n", "\tEjection time: 10.610 s\n", "\tInflation time: 11.610 s\n", - "\tFreestream speed at inflation: 10.251 m/s\n", - "\tAltitude at inflation: 862.729 m (ASL) | 455.729 m (AGL)\n", + "\tFreestream speed at inflation: 10.250 m/s\n", + "\tAltitude at inflation: 862.742 m (ASL) | 455.742 m (AGL)\n", "\n", "\n", "Impact Conditions\n", "\n", - "Time of impact: 35.544 s\n", - "X impact: -0.286 m\n", - "Y impact: -8.151 m\n", + "Time of impact: 35.545 s\n", + "X impact: -0.287 m\n", + "Y impact: -8.153 m\n", "Altitude impact: 407.000 m (ASL) | 0.000 m (AGL) \n", "Latitude: 47.2134026°\n", "Longitude: 9.0033322°\n", @@ -683,21 +692,21 @@ "\n", "Initial Stability Margin: 2.777 c at 0.00 s\n", "Out of Rail Stability Margin: 2.818 c at 0.36 s\n", - "Maximum Stability Margin: 3.031 c at 2.41 s\n", + "Maximum Stability Margin: 3.031 c at 2.40 s\n", "Minimum Stability Margin: 2.777 c at 0.00 s\n", "\n", "\n", "Maximum Values\n", "\n", - "Maximum Speed: 86.220 m/s at 2.25 s\n", + "Maximum Speed: 86.223 m/s at 2.25 s\n", "Maximum Mach Number: 0.254 Mach at 2.25 s\n", "Maximum Reynolds Number: 8.918e+05 at 2.24 s\n", "Maximum Dynamic Pressure: 4.387e+03 Pa at 2.25 s\n", "Maximum Acceleration During Motor Burn: 58.470 m/s² at 0.04 s\n", "Maximum Gs During Motor Burn: 5.962 g at 0.04 s\n", - "Maximum Acceleration After Motor Burn: -0.000 m/s² at 0.00 s\n", - "Maximum Gs After Motor Burn: -0.000 Gs at 0.00 s\n", - "Maximum Stability Margin: 3.031 c at 2.41 s\n", + "Maximum Acceleration After Motor Burn: 0.000 m/s² at 0.00 s\n", + "Maximum Gs After Motor Burn: 0.000 Gs at 0.00 s\n", + "Maximum Stability Margin: 3.031 c at 2.40 s\n", "Maximum Upper Rail Button Normal Force: 0.204 N\n", "Maximum Upper Rail Button Shear Force: 0.042 N\n", "Maximum Lower Rail Button Normal Force: 2.481 N\n", @@ -713,15 +722,15 @@ "Absolute Error Tolerance: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 1e-06, 1e-06, 1e-06, 1e-06, 0.001, 0.001, 0.001]\n", "Allow Event Overshoot: True\n", "Terminate Simulation on Apogee: False\n", - "Number of Time Steps Used: 347\n", + "Number of Time Steps Used: 349\n", "Number of Derivative Functions Evaluation: 79\n", - "Average Function Evaluations per Time Step: 0.228\n", + "Average Function Evaluations per Time Step: 0.226\n", "\n" ] }, { "data": { - "image/png": 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", + "image/png": 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gCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRAEQRAE4QGJZIIgCIIgCILwgEQyQRAEQRAEQXhAIpkgCIIgCIIgPCCRTBAEQRAEQRAekEgmCIIgCIIgCA9IJBMEQRAEQRCEBySSCYIgCIIgCMIDEskEQRBhgsvlgsPhgMvlCnZTCIIgIh5JsBtAEARBtMXlcvGi2Ol0wuFwwG63w+VyQSaTQSQSgeM4iEQi/m+O44LdbIIgiIiBRDJBEEQI4HQ6eTHMBLHT6eTFMgBeELtcLv41oTBmrwtFMwlngiCI7sG5aN6OIAiiV/EUxOwhFMQsSuwpdDmOg1Qq5f/Pthf+S8KZIAii51AkmSAIIoCwlAn2MBqNEIvFvNBlopYJWQBdErFsW+F7hIKZiXH2utlshkQigUKhIOFMEATRASSSCYIg/IQwh9hut3uNEBcUFCA1NRXJyckAuiaIfaUj4VxYWAilUonc3Fy37YU5ziScCYIgSCQTBEF0C89FdcKFdcKUB47jIBaL+b+DJUCF7WFiWBhxdjgcbbb3lqZBwpkgiL4CiWSCIIhOEKYtCB+ei+c8BbG/sVqtMJlMiIqKglqthkTSs0t4Z6karJ/C7Uk4EwTRVyCRTBAEIaAzQQy4R2MDJRJtNhtMJhMaGhr4fy0WCxQKBRwOBywWC1QqFbRaLTQaDbRaLdRqNS/SuwsJZ4IgiFZIJBME0WcRCmJhHrHT6eRf7w1BbLfbYTKZ3ERxc3MzoqKioNFooNFokJ6eDrVaDalUCqlUipaWFhiNRjQ0NODUqVM4fvw47HY71Go1L5q1Wi1UKhW/ILC7+CqcPb8vYZ6z5/sJgiBCHRLJBEH0CZggFhpzBEMQu1wumM1mlJaW8qLYbDZDLpfzAjclJQUajcat1JsnUVFRiIqKQlJSEv+5zc3NaGhogNFoRGVlJQoKCuB0OqFWq3nRbLPZ/OLY54twttvt/DYknAmCCDeoTjJBEBGHpyAWmnOw1z1TAwIh1pxOJ5qamtDQ0MBHiBsbGyEWi6HT6XhRrFarIZfLffpMzzrJHeFyufj9G41G/gEAOp3OLVVDoVAEbFDA/hXebkg4EwQR6pBIJggirGlPELcnygIpiM1ms1sOMRPEQjFcUlKC1NRUpKamdms/XRHJ3ti7dy+kUik0Gg0vnhsaGiAWi91Es1arRVRUVFCFM9ltEwQRTCjdgiCIsIGJKmEOMRPETqfTa5mzQKZMeOYRcxwHtVoNtVqNjIwMaDQaREdHu7WhrKwsqKKP4zjI5XKkp6fzzzmdTphMJl4wFxYWorGxEVKptI1w9jXi3VkbhP8C7sJZmKYBwC3STMKZIIjegkQyQRAhiacgFqZMsLQJYWRYIpEETBC3tLTwYpgJYpfLBZVKBY1Gg9TUVGg0moClLAQakUjEi2CGw+Hg+2s0GlFVVYWmpibI5XJ+WyaeZTJZj9vgKZyFEWbPyiKszSScCYIIJCSSCYIIOt4EscFggMvlgkKh4AUSE0OBEsQAYLFY3FImTCYT7HY7VCoV1Go1kpOT0b9/fyiVyh5XjQgGvmbYicVixMTEICYmhn/Obre75TeXl5fDbDYjOjq6jXD2Vw1n4d8dCef6+nqoVCpER0eTcCYIwi+QSCYIotdpb1GdMEe1vLwcYrEYeXl5ARM6zJxDKIqtViuUSiXUajXi4+ORm5sLpVLZ4/rDoUR3v0+JRILY2FjExsbyz1mtVl44GwwGFBcXo6WlBUql0k00azQav9VwFv4ttPvu168fpFKp23be8ptJOBME4QskkgmCCCieglhYUxc4XWlCKGQA+F3QMHMOoShuaWmBQqGAWq2GTqdDZmYmVCpVj6OgfQmZTIb4+HjEx8fzz1ksFj6/ua6uDidOnIDVauXNT9hDrVb7rYYz0CqIxWKx27nFzj1v+eoknAmC6Ai6ExAE4Tc8F9V1JoiB9qOaPREtdrsdjY2NbhFiZs7BKk2kpaXx5hyEf5HL5UhMTERiYiKA1uPOhLPRaER1dTWOHTvGm58IUzV6w/yEnafC7YQ5ziScCYIASCQTBNFNvC2qY4LY076ZTbN3VXT4kj/rcDjQ2NjoFiFuamqCTCbjy64lJydDrVb7ZYFZT+mLwovjuHbNT5hwrqiowOHDh+FyudxSNLRaLZRKZaffW2fnii/mJ57bk902QfRtSCQTBNEpnoLYsxaxUIB0VxD7gtCcg4nipqYmSCQSPkKckJAAjUbjl1JlRODgOA4KhQIKhQIpKSkATpufsFSN0tJSHDx4EBzHuZWh02q1bUrrsc/sahs83+fNblu4PQlngug7kEgmCMINYR6n8OFZTSDQghhozSOurKx0c6tjgkmtViM7OxtqtTpgphdE78JxHFQqFVQqFdLS0gCcHhixiHNRURFMJhMkEombcBaenz1tg/BfgIQzQfRVSCQTRB+mK4I4kCW12NS7MELc0NAAAGhuboZGo0F6erpXcw4ishGJRLxBCzNAEZqfGI1GHD9+HGazGfv27UNMTIxbqkZvmJ+QcCaIyIREMkH0EYSCWLiwjhlzsLSJ3hDEQnMOVnHC4XDwYig1NRVRUVGQSCQYOHCg39tAhDfezE82bNiAzMxMAEBDQwMqKyvR1NSEqKioNqXoAmF+AngXzp6/K+ECQc/3EwQRWpBIJogIhAliz0V1vS2IgdZyYJ61iO12O1+LODExEXl5eW3MOZqamvj2EoQvqFQqt1J0drudz282Go0oKytDc3MzFAqFW6qGRqPxS9k/X4Sz0HKbhDNBhDYkkgkizPEUxJ6L6npTEHdmzhEXF4fs7GyoVKqIMufoKv7InQ3Hffc2EokEcXFxiIuL458Tmp/o9fo25idMNPvD/AToXDgz0cy2IeFMEKEDiWSCCCOENV4dDgeam5sBtN5AheLHUxQHArvd3kYQt7S0IDo6mjfnyMjIgFqt7naUri8Jut4kUgWXL/3yZn7S0tLCC+fa2loUFhbCZrPx5ics6uwP8xNhOzsTzux1p9MJjuMgk8nIbpsgehESyQQRoggFsWcOMUtD+PPPPzFs2DBoNJqACmKHw9HGrc5sNkMul/OVJlJTU/1qzkEigOgKPRlQsRrOQvOTlpYWN/OTo0ePwuFw8FFmFnX2TBPqLh0J5+LiYphMJgwbNox/XRhpJuFMEIGBRDJBhACegpilTAgFMXD6xiiRSNpMzfoLp9PZxq2OmXOwWsRJSUl+WwBFEKEGx3GIjo5GdHQ0kpOTAbT+Rs1mMx9xLi8vx+HDhwGgjWugL+YnvraD4fk796xAw7Yh4UwQ/oNEMkH0MkwQe+YQs5seu/F5CuJAwGrQCiPEjY2NEIvFfIQ4NzcXarUacrm812+4lG5BdIVAnp8cx0GpVEKpVHo1PzEajXzEVyQStVkY6I/ShcL3s7+FaRrsGuJNXPfGmgSCiDRIJBNEgPFcVCcsDSWMBAlvZr7imYvcEcJIGBPFzJyDRYgzMzOh0WhCwpwj2PsnwotgDKjaMz9pbGzkhfOJEyd48xNhfjOr4ezLee4pfD3bIPyXbc/+Zdceb8LZs44zQRDukEgmCD/SkSAGTt/shFOnPb05eRMHzJzDsxaxy+VyM2ZQq9VQKBQhe4OkSDLRFULhPGZRZI1Gg4yMDACnc/pZqsaxY8fQ2NjI5/QL7ba9pTB1JJK90VXh7K2qBglngiCRTBDdxtuiukALYk9YJJmtzheKYofDAZVKBY1Gg+TkZAwYMAAKhcKv+csEQXSOWCyGTqeDTqfjn2PVYVjEuaKiAmazmTc/EaZq+IPOhDO7ngm385amQcKZ6EuQSCYIH/BcVOdZixg4HY1htVUDWYuY2TZbrVbs378fDofDzZyjX79+UKlUYS2II/VmHKn9CjbhNusgkUgQExODmJgY/jmbzcZHm41GI0pLS9Hc3AyJRAKZTIaioqJeNz/x3J7stom+BIlkgvCgM0EsvLEEWhCzm6YwQmyxWHjHMLFYjOzsbKSmpkakOUe4CR8iuIS7WJNKpV7NTw4ePIiWlhbo9XqcPHkSFouFnyViEWe1Wt0r5ifsmijcnoQzEamQSCb6NJ5VJtjDs7xSbwhiNv3KBDEz54iKioJGo/FqzvHnn39CqVRGpEAmCKLV/EShUEAul2Pw4MEA3M1PTp06hePHj8Nut/PmJ+zhr9kkEs5EX4VEMtFn6IogDnSpJIfDwdci7qk5B0VbCSKyfweeC/e8mZ80NzfzwrmyshIFBQVwOp18DWcWdVapVH6t4dyZcGZtJ+FMhCMkkomIw2K3oMZUC7vTgXRNCp8uwQQxgDYX7kBerFlJKGHKRFNTEyQSCS+Ik5KS+FrEXSGSbzCR3DciMETqOdPZAIDjOCgUCigUijbmJyy/WWh+4uka6K8KN74IZ6HltqdwDtQCZ4LoLiSSibDG6XRiV/k+/HB4LbYU78DeyoOobjwFABibNAJfXbWUL+J/56pHoI3SYGruJEzLPQtySdcEqa/t8VaLWCwW87WIs7OzodFo/GLO0ZU6yeFIJPctWETqdxqp/WJ09VohND9JTU0F0PodsRrODQ0NKC4uRkNDA28e5G/zE2G72xPOTDSfOnUKHMchMTGRhDMRMpBIJsIKljLhdDqhbzJg1H/ORYWpqs12EpEEcpcUFosFGo0GTVYzVhxYBYfLgSXbP4ZWrsZFg87DrWOvxfDkwd1ui9lsblOLmJlzqNVqZGZmQq1W++2GQ0QGXRV0wjq7JpMJUqkUOp3Or9PnROjicrn8llvMrk0Mp9PpVsO5sLAQjY2NvPmJUDhHRUX1uA2sHcJ/AaC+vh4ikQgJCQm8cGbbUMSZCBYkkomQRVi7kz2qG2oQGx0Dp9MJKSdB/7gcNFgaMDVnEqbkTsQZyYORF5cLXZQG27dv5z9LxInw30v+ic0lO/BDwVpUNdbg4z0r8PGeFTg3bzKemf4wBiX277At3moRu1wufpV5amoqNBpNr5pzRHIkua/eAJnVMctXb2hoQFNTE6RSKT9N7nK53KbPhWJGp9N1KmYi9buN1H4FEpFIxJ87nuYnLFWjurqaNz8Riub2zE+6i1AAA94jzuwYCwUz2W0TgYJEMhESCAWx0JyDRY0bWkx44Y838Mneldh++89I0yaD4zgsueSfiI3WeU2dEArIaGkULht6IS4beiFenv0UNpdsx9Idn+Lbwz9hzfHfMS33LF4ku1wuWCwWNzHc0NDAm3Oo1WokJyejf//+UCqVQa9FHKkiGYjsvjEsFgsvho1GIz/4YoLYMz2H4zh+MSebPjcYDHwU0GQyuYkZFnH2R11dIjh01XGvp7RnfsLO0YaGBpSXl8NsNiM6OrpNqkZni4294a2PnhFn4fXAc8E1QMKZ8D901SR6HU9BzBZzsIseu/Cxi9wPx9bioZ+f4XON15z4HQtHXQUASFEntbuf9i6OIk6ESVnjMClrHArrTuI/W5bikuzzUFRUhIaGBhgajHDY7FAqldBoNIiPj0dubm5IllqL5BtAJPbNbrfDZrOhrq4O9fX1aGhogMVi4c+1pKSkLjkjCqfPWRRQKGaYIUVLSwtfHowJG6fTGfQBnj/pbSHZm4RC3yQSCWJjYxEbG8s/Z7PZeNFsNBpRUlKClpYWKBQKt9kNYdnK9vClj8LXSTgTvQGJZCKgMNHraczRniBm/wKA2daMh3/+Bz7a/QUAIC82By/PfgpTc8/yad/eUhFsNlubCPFFiqkoKSqGWq2GUqPC3X8+iSuHX4I7xy304zfRcyxGA4yFxxEdnwB1Zlbrc9VV2PH26xDb7bA1NsLebAYnEgEcB04kQu4FF2PoLYsAAPaWFhz471tQpKRAmZwKVVoa1BlZEHUj6kN0jtPp9Jo2IRKJ4HK5kJSUhPT0dJ8ERFfwJmYsFguMRiMMBgMsFgtKSkpQUlLCRwBZtJly54muIJVKER8fj/j4eP45NjNiNBpRV1eHoqIi3vxEGG32ND/p7kCgI+HM7j2en+2Z30zCmWgPEsmEX2HpEZ61iD3tm4UXKW8UnDqO61behYLaQnDg8JdJt+Ohs+/sckWKxsZG/qJtMpnQ3NzMm3NoNJo2IuXD3V9gb80h7F17CA1WEx6dfE/PvpBu4LTbUbt3N2oP7oeh4Aj0RwugP3oE5qpKAMDohx7D6L88AgBwWS0oW/Vtu5+VPHY8/7e5qgLbnn3a7XVOIoE2Jxe6/gORe+ElyLv0cv93qAeES7qFMGddWPua4zj+XMvNzYVGo8GRI0cQHx+PtLS0XmufXC5HYmIiEhMT0dTUBJ1Oh4SEBD7aXFRUxC8IFEYA/Z1zGkjC5VzpDqEQSfYVuVyOhIQEJCQkADidvsbOtZqaGhw7dgx2u52v+KPVamG1WhEdHe2XNnRWUYPdo7wJZ886zkTfhkQy0W06EsTA6Qs7u/AAvk+hv7P9IxTUFiJZlYh3576Cc7LHd7i90JyDRYjNZjMvCNRqNVJSUqBWqzu86V8/4nLUmfX4+7qX8cKG/wBAwIWyy+mEzdwEmap1xXnt3t345vzpXrdVJKdALD3dfmlsPAY/8DBiU1IgU6ogZjcZlwsupxO6/gP5bTmRGP2vuBrmyko0VVWgsawM9mYzDMeOwnDsKGLzB/HbNp86hd8fuAsp4ycibfJUxA0e2hqh7kVC+QbF7MKFD+Z4FqxFnF2B4zioVCqoVCperLPFWiy/uaKiAmazmZ86Z9FmjUYTsmkaofhd+4NwEsmecBzHm58kJbWmxzHzE5aqUVlZCb1ej9raWpw6dcptkKZUKnulFJ2ncO7IAIXoO5BIJnzC26K6jiLE7P/d5YWZf0O0JAr3n3UbEpRxbq95TmN7M+dITExEcXExUlJS+BqhvsBxHB446zZIRGI8sfZFvLDhP0jXpuC6ET2LsNrMdhT/UYv6440wljXDVNEMS4MJ5spimMv3IX5wCiY9fTNSRugQf8ZIqDOyoBswADEDByFmQD5iBgyEbsBAyNQat8+VqtXIvP5GpKSkdNoGdWYWpv5nCf9/l9OJpsoKGI4VQH+0AEljzuRfq9m9AyW//IiSX34EAETFxSF10mSkT56GjOnnQpnc+f4iBWYGIxTEZrOZn5GIjY1FdnY2VCpVyOWsdwVvi7WsVisfARTaHwsXaul0upAdDBChidD8hF27du/eDYVCAbVazefSHzx4kJ+NEaZq9Jb5CbvvCbfzlqZB537kwrkieY6K6Baei+pYHjG7aHheMNjfPWXdiT8wJWciRJx7CSAmiFkd4sbGRohEIn7BEhPGUVFRbu3Ys2cPEhISuj2t/eKG/+C53/+NKIkcaxeuwLDkQZ2/SYDL5cKxH6uw95NiFP5aA3uzo9P3iGUi5ExJwKC5aRg8Nw1SRcfj2N27dyM5OdknkdwVTKUlKPrhO1Rs/B0Vm/+A3dzk9vq0t/4PefOu8Os+PSktLYVer8fw4cMDuh8hQntf4SCMmS0IH91NQ9i7d2+P0i2E1S26w+7duxETE4Ps7Owuv5d9PyzazCKBrIwYizZrtdouu0f2lF9++QUTJ06ESqXq1f32Bnv37oVarUZubm6wmxIwvJ2XLCAiPNeY+YmwDJ1Wq21z/fcnQuHsSXvRZhLOkQFFkvs4XRHELEoWiB//vzYtwd/XvYwbzrgSj4y90y11gk0NsxxiX92gelpD+K9n34kd5Xvxy/HfccOX92LrotWQiHz7yZRvr8eav+1H2Z/1Xdqnw+rE8V+qcfyXaqx9bD9G3pCN8ff0hyKufcERiHGuOiMTw2+/C8NvvwsOqxWndu9E2e/rUPbbr6jZvRPJ4ybw25b9vg7GwuPod/E8RMXFdfCpoYfVam2TNuFwOPjBV1fOt76AMALIZmiYGQVbGFhVVYWmpiZER0e7RZs1Gk1YR9qDSTinW/iKt+uYMBiSnp4OwP18a2ho4M1PWD69UDj7a6DWWcSZ3TuF25NwjgxIJPchPKtMsIdn2ZzeWPHLFjqZTCa8sfU9vL5nKQDAom9GWVkZn9epVqu7nZPW07aLOBGWXPIy/vrj33HPhJt9Esgulwvb3irE2r/th8t5+nllghzaxBKYjn4LZTww6Jrz0e/iCyFRxMFU0Yz6E00o316Pot9qYKpoAQA0623Y/Oox7FxahAn3DcC4O/q1iSz3xkVXLJMhedwEJI+bgDEP/Q3NtbWIFqxm3//OGyhdtxZbnnwUGdNnYtD1C5ExdUaPc5j93TeWty6MSLFyVcJSfyqVKmRzbkMRoRlFZmYmgNOlwYxGI/R6PYqKimCz2aBSqdyizf52CyQREr74OhAQnm8Mh8PhVsOZDdSE9cKZgPbXQlQSzn0DEskRSnuCuL6+HkajEZmZmb0miAG4VZhg/9rtdmw27MLrB1oF8kMT78CjU+/1m0DpaSQZAGKjdVh66as+betyuvDjA3uw672Tp9/fLxrTnxmO/rNTYKmvxbGVNgy+4WZIBKu44weokTMFGH1jDlxOF8q212PX0iIc/LIMTpsLlgY71i8+hL0fF+OCN0cha9JpgeqPPnYVoUAGgIzpM2E+dQp1+/ei+KcfUPzTD9Bk52Dwwlsw8Kr5kOtiur2v7vaNWYYLI8RCq121Ws0PwnqSukB4x7M0GBsUM+HcE7fA9ojkzMG+Eknubh/FYjFiYmIQE3P6WuNZL1xofuLpGuivEoy+CGe73Y79+/dj0KBBkMlkJJxDHBLJEQATxEJjDhYhZq+zHx5biBNIYWC1WtvUIrZarVAqlVCr1YiPj0dOTg42V+3AK5veBQDcNf4m/G36/X5tRyAEpKGlAboojdfXNr921E0gx6duRXrOYfSf/RVEYg7RCQkYvujuDj+fE3HIGBeHjHFxmPr0EGx84Qj2fHQSLiegL2rCx+dvxJhbczHj2aGQyENj6nrozbdj6M23o/7wIRxZ/hGOfrYMDSeL8OdTj6H4px9w4Tc/BrwNQtc69nC5XHzaRFZWlte8daJ34DgO0dHRiI6ORnJyMoDT+aYsv/n48eO89bEw2twVEUPHNnzx90DAW71wll7FUoOKi4vR0tICpVLpJpr9mRrkKZydTieqqqqQn5/vJpzZNp4RZ3+u+yG6DonkMMNTEAvNOdjrHUWIxWKxX4UjM+cQiuKWlhbeqlSn0yEzMxMqlcrtRrezfC8WfnUfHC4Hrh4+F8/MeMhvbRLir77anXb8bc3z+Hj3Smy/4yekadwXyhWtr8H6xYda/8MBMZqPIdKvRd3hWDQUnYAur3+X96lJjcacf4/EmXf0w+p796B0Sx0AYMd/T6Bihx7zPjkzKJHk9ogdNBgTn3kBYx95Ase//AIH3/svBl5zHf+6rakJhuNHkXDGSJ8+r72bgt1u58839hC61iUmJiIvLy8kLMNDkVA5X4T5pt7cAg0GA+/gJjSi0Ol0fS4lpi9EkoHAC0GZTObV/IRFm+vq6nDixAlYrVa3c47NPvnjnBMaaAk/TxhxZqIZIOEcbEgkhzDtCWJh2TUA7Qpib/REVLE6qsIIMTPnYBG7tLQ0n6awj9UVwea0Y2beZPzngmfdKlr4C38KSIlIgr2Vh9BkM2PFge9x38Rb+dcaq1vw9cLtfA6yQvw1pNa1SBw1BjP+7yOo0tJ7tO+EfA2u//FsbF9yAuueOgB7ixMVu/RYevZvGPFUPGKmh4boYUiVSgy6fiHyr7sBLufpxOzDH7+PP596DBnTz8XI+x9C8thxnX4WW6Tj6Vonl8vbNYQJB0JFqIYa3qJ/wjSN6upqHD16FE6nkx+EMxETyd9pXxDJweqj0GiHtYMZA7FzTmh+4lnDuavCWSiShXSWqkHCOTiEz10lwhHWZGS1iJkgdjqdXgucd3cxmy83E7bISSiKm5qaIJPJ+JJrycnJnZpztMdVwy9Bv9gs5Cf0h1QcmNQPf0dZrxx+MbaU7sCK/e4iedPLBTDXWQEAcskBKCXfIv/aG3DW8y9D7K9FIiIOZy7qh8yz4rDy2q0wnDTDXGfFlgcqIH0pChk3Z/hlP/6E4zhwgilLc1UlOJEIpb+uQemva5B61jkY++gTSPqfWBYu5jQajaitrUVzczN27drVxrWut8uLRRrhdCP1ZkTByoIZDAbeLRAADhw4gNjYWF48U755+BAqAwFhapA38xNhTr3L5XJL0fDF/ITN+vrSV1+FM3tdKJjJbts/kEgOAp6CWJgyIfwBsYdEIvHbie5NOArNOZgoZuYcLEKckJDQY3HicrnQZDNDJVMCAMam+zbt3l38LZIvHnQe/vrjYhyoOYJDNUcxOHEAGqtbsPvDk//bnxVqyTvIPm82zv7nawFxqEsersNN66fim5t3oHBtNVx24Pe/nIBSrMGohTl+358/Gf/0sxi04Ebs/c9rOPrFclRs2oBvLzgXiVOmI+X6m2DT6mCz2fj8QGaJPGrUKLrQEzysJKSnW+CaNWsQExODpqYmlJeXo7m5GQqFwi3aHMpugR0RKgIykIRyH4WlD1lNeuFgrSPzE61W61ZCUlhJqrttEf4rvMd5VqoCSDj3FBLJAaYjQSxMm2Anrz8FcXs4HA5UVlbyorixsREcx/GCODs7OyCLnJbt/RIv//E2Pr3iHQxK7HqOblfx9/cYG63DrP5TsKpgDVYc+B5PTfsL/vz3MdhbWgc2KuUmxA/IxNS33g2ohXN0rAxXfjEeP9y7B3s/LgZcwOp796DFaMPE+wYEbL89gbnWmaRyxN+8CJh6Lso/eR+mDb+hZv2vgNOJKe9+CLVazS+YqaiogMVioQs60SlM+GZkZPDVMdgiZYPB4NUtkInncHALDGUB6S/CrY/eBmtCd06j0cjPcjA3WCaY/d0Oz79JOPsPEsl+pr1Fdd4EcXdTJnxF6B4mTJtwOp2oqKhwy+cM9I2isO4kHvrpGTTZzPj5+G+9JpL9nad4Yf5MrCpYgz+Kt8LaZMfO94oAAJIoEa74/m6oEuWQqdR+3ac3RBIRLnhjJMzOBhxbpgcArHvyICQyEc68Iy/g++8Ib651zCWRpU0MnjAR42edh8bC49j+/GKMffRJ3g7Z1tQIkdQ/aSqhCN2MegeZTIaEhAQkJCQAOF0WkEX+iouL3dwUmWjW6XR+q6VL+E64iWRvCK9x3sxPWI4zAKxfv75NKTp/m58I/xamaTBNItyOCWay23aHRHIP8BTE7CEUxJ6jtUAhzOcUWjg7HA7erS4lJQUpKSkoKirC6NGjA9YWT2wOG27+5i9osplxdtY43D3+pl7ZbyBE8pi0MwAAeysP4tivlbA1tRaLH3pFBlJGB174C+E4DkPvSoAyLgp7/l0JAPjlkf2QqSUYcV12r7WjJ651sYMGY9ZHn7k99+ffn0Dl5o3If/AxICu0U0iI0MCX3znHcVAqlVAqlW3cAlkZulB1C4wEAdkZkdpHT/OTpqYm/PHHHxg5ciQvnCsrK9HU1ISoqKg2roH+yqvvLL+ZaRkSzu6QSPYRoYOOpyBmrwsFMRDYiJHFYmlTacJut/O1iBMTE9GvX782pZKMRmPA2tQez//+H+yq2AddlBbvXPxPiEW9d7Pxt0jOjc3CBQPPxeDEASj4rIJ/fsD5yX7dj69wHIehNydDHa3FxhePAABW3bUbco0Ugy5O8/v+2IJOobsVc61jNbB74lpnbTSh+KcfYK6uwp+33YCYs6eg/+tv9bhCCEF4w5t7m9AtsL6+nncL9Kxs4G+3wI6IVAEppC/0EWjtp0gkamN+YrPZ+CCD0WhEWVkZn1cvFM0ajabXzE88hbO3qhqRLpxJJHvBs8pEexFijuP46EIgTxL24xGKYovFwv94YmNjkZ2dDZVK1Wm0o7fr6m4q3oZ/bXoHAPDanGeQrk3p5B3+IxB9FXEiLLviLbicLrx64w//e9YCKXcAQKpf9+UrLpcL5zyWD4vJhm1vFQIu4NtbdkCTFo20MbGdf0AHn9ueax2bUkxJSYFGo/FbtEOmUuPyjduw86XncOC9/0K/cT2+mDQWZ/7tKQxeeAtEQYzmEaGPP67DHbkFGgwGr26BLFWju26BRN8Syd76KZVKERcXh7i4OP45llff0NAAvV6PkydP8jXhhaI5kOYnrM3sXyaehdt7ppBGknDu8yLZc1GdZy1i4QnTG4JYaJTA/mXmHGq1GjqdDhkZGd2uC9ubIlnfbMSt3zwIF1y49ox5mDt4dq/sl8FxnNuP2Z9U7TXAXGsDAKh0pcg+78qA7KczhOfnuc8PQ7Peiv2flsLe4sQXV/2JG3+bAm2GwqfP6sy1LjMzExqNJuCudXKtDhOffQlxs87Hzqf/hsaD+7H5bw+h8OuVmPrmu9BkUwoG4U4gr2nCkmBCt8DGxkY+4nzs2LEeuwV2RF8QkH2hj0DX+umZVw/ArYazcEEqMz9hUWd/mZ8Avtlte24fKXbbfVYkf/LJJ5BIJBg3bhzEYrHb1FlvCWJmziEUxWazmTdKUKvVSE1N9cmcw1d6UyTbHDbkxeVAJpHhxfOe6JV9CgnUsbM5bDj0ZzH//9wZqUH98QtnNy74zygYS8wo2VSHphoLPr9iCxb8cg7kavfzJxxc67QD8jHgxdegOLQPWxc/CUPhMUgUyqC0JZKIZNON3vodChdoeboFsvxmT7dAJp67k4rUFwRkJJ+XQpxOZ4+uqaxuuKf5iafhjsPh4M/RnpiftIcvwpmJ55qaGqhUKj64F05lGPusSN60aRPEYjGys7MRHR0NnU4X0IuQsDSMsBaxTCbjI3VJSUnQaDQBXVndmyI5URWPr+e/jypTDV8buTcJVF9/PLoOH376M0bibABAv1lD/L4PX/E8Z8UyES77ZBzen/479CeaUHOwAavu2oWZbwwOS9c6TiTC4AU3IXPGLBgLj0PxvxsDAJhrqqFITApi6wjiNJ25BVZWVuLIkSNwuVxukWbPOrp9FZarG+n4e8DjbaZDWMmloaHBLUVImFuv0Wg6NT/paluE/7K2FBcXIz09HQqFIqgLYLtDaN0RexGpVAqr1RqQRXbMnEMYIW5sbORLDanVauTm5kKtVkMul/fqxbE3RLLwIiDiREjVBG9RWyD6mqiKR3rFaXGWNS3f7/vwFc8+ulwuiJQunPvOAHx96V7YGp04/HUFLPEG5M9PCCvXOuHvQpWW7rZ47+TqVfj1jpsw7onFGHLjrX1eYHSVSPu+QjUK2Z5bIIs2szq6UqnULdrsWdWAIsmRQ28cS2+VXFwul9uia1YCkc2KCIWzPwdtLO0x3MQxo8+KZJlMxtdu7cmPU7i4iYliT3OO3srl9IVA5ukyHv3lWbTYLfj79IegjQp8zeCOCIhIVsYjRt+6AFEaZYEqIXiLdZxOJ5qbm3Hy5Ek+Ssxc68Y+lYrNfy0DAJx8vxlnX5GFjLy4Tj4xtGjv+J34/ms4mpux+bG/ouSXHzHl3+9AkRScwRgROgT7+toZQgMKVkfX4XDwwsVgMLhVNWCiWVhJKZIJ9ePnD4I14GGaRK1WtzE/YbMdJ06c4M1PPEvR9WRRqjANI9zosyJZKpXCbrd3STQykwTPWsRscRM7+TQaTci6OLHIeaB+qLsrD+CdbR/BBRcuHnQepuae5fd9+EqgIskKuxISW6v416b33jEWpuywh9ls5kfoOp0OmZmZp13rzgRc5dHY8toxOO0ufHXDdty6eRqiY8LfKGHqm+8iccyZ2Lr4CZStX4eVUydi2lvvIn3K9GA3jSC6hFgsblMOzGq18tHmU6dOoampCXv37kVRUVHYuQX6Sl+IlgM9z0n2J95y69laKZaqIVyU6mm37WtqaCj1uav0WZEsk8lgs9kgEom8imSXy8Wv9heKYqE5R3JyMgYMGACFQhE2J4DQfcffFySny4kHf3waLrhw2ZALgiqQgcCJ5OZaK/93/LBMv38+4JtrXWJiIk6dOgWJRIL+/b0bmUx9cjDKt9ejZFMdTOXNWH3fHlz6wdiwuBl11EZOJMLQm25D+jlT8ettC1F3cD9WXzkXI+75C8Y8/DeIQiy32pNwjKiEMpH2fcpkMiQmJvKLszZu3Ijs7GyIxWIYDAYUFxejoaGBj/gJS9GFq1tgXxHJod5PsVgMnU7HO6ACpxelshmPiooKmM1m3vxEmKrhrchAqPe5I0L7ThJApFIpbDYbL6Q6M+dISEjwas4RbnhaVPqTT/Z8iR3le6GWKfGPcx/x++d3lYCJ5LrTIlmZEO2Xz7RarfzoXXj+sZXxaWlpXhf46PX6Dj9XJBHh4nfH4N2J69BisOHw1+XYNzMJZ8zP8ku7A01nx0/XfwAuXv0r/nzqURz6YCn2/PsVpE46B+mTp/ZSC4lQIlxvxJ3BcRyioqKQkJDQrltgZWUlzGYz7xbIos3Bdgv0lXAWUl0hHPvpbVEq829gqRqsmotCoXBL1dBoNBRJDjeYi9KePXtw1113oaCgAHfeeSfOOussqNXqLplzhBuBEsn6ZiOe+vWfAIBHJ9+LFHXwqw4E6kIkFMmK+K4vfhO61rFHc3MzoqOj3cxhfKlz6Uu6kDZdgfNfH4mvFmwDAPz8133InBiPmJzIKKcmiYrCpBdfRepZ56B2314SyH2QSIske+JNWHXmFlhXV4cTJ060cQvU6XR+rWjgL8JRPHaHSOlnR+YnRqPRzfyE4zgUFRUhPT2dz8UPF/qESN6xYwfWr1+P7du3Y8eOHThx4gTi4uIgEokwc+ZMXH755Zg3b57bxSZSCZRIfmXT26hv1mNQQn/cOvZav352dwlUJNkuCN7KFY72N4RvrnXJycl+da3zxuC5aShck4m9n5TA2mjHqrt34drvJ4X0xbqrbcu9aC5yL5rL/99cU4OiVd9g8MJbQrqfXYGdT6xqAtE38FVYtecWyKLN5eXlOHToEDiOa1NNI9jnU6SIx86I5H62Z37yxx9/QC6X87P34USfEMkrV65EQUEBxo4di5tuugljxozB8uXL8c033+COO+6AyWTqEwIZCIxINtua8dm+bwAAz8x4GFJx4MReVwiUSOZaTkd3xRKb22uernUmkwlOpzNglU660seZLw7HyQ21MJaYUbyhFrs/OIlRCyPTvc5pt2PNTdeietufqN6+Fef86w1Iov2TGtNTunLchVOa7JxyOp1wOp2Iioricwd1Oh00Gk3YTmn6i3C7AQcaYQ3dlJTWijxsATATzmxhlmd+qb/cAn0lksWjEKfT2Sf6yWD3OraoPNzodZH8wgsv4NFHH8W9996L1157DQAwZcoU/P77727b3XbbbXjnnXf4/5eUlGDRokX47bffoFKpsGDBAjz//PM+/YhfeOGFNs+xnOSeloALNwIhkhXSaGy9fTW+PPgDZvQ7x2+f6w8CIpJFpy9whopyFBfHBtW1ztc+ytVSzPn3SCy/ZBMAYO3jB9Dv3CRo032zrQ4G3T1+nFiMvLmXoWbndhz/agUMhccx84PlUKWm+bmF/oPV0GWC2Gg08jmmGo0G8fHx/LoIsVjMlwyrq6tDYWEh7HY7NBqNm3AOhbKTRM/xp4AULv5l2O12fpqc1dC1WCxQqVRu0eZArsnpKyK5r5imCKGcZB/Zvn07lixZguHDh7d57ZZbbsHixYv5/ysUp2/cDocDc+bMQXJyMjZv3ozKykpcf/31kEqleO6557rVFlbdojcd6EIBdhHyd63kOEUsbh17nV8/s6f489gyAdPQ0ICTFactqSuPFyLJ2BodZuX/ejP60uWUhGmJOOO6LOz9uBhWkx2r792Dq1ZOCMmbU0/axHEchtx4K2IGDsKam69D7d7d+HrmZJz73idIPnO8H1vZfVj+qDBSDJx2xMrLy/PqwMlxHCQSiVs+oNBhy2Aw8CYVMpmsTbQ5EhFas0cigRaQnucTcNot0GAw8G6BAPgFWUw8+2MgFunHT0hfGQwICec+99rdvLGxEfPnz8e7776Lf/zjH21eVygUvKWiJ7/88gsOHTqEtWvXIikpCSNGjMAzzzyDhx9+GE8//XS3St4IRXKgzTVCDX+JR5fLhW1lu3Fm+siQ/AF0t5/C8n/CtAmgVcAcMR4Hh9acK51M5nXQ15t0tY/nPjsUhWuq0VjVgsI11dj/WSmGXx2YUnbBJvWss3Hpz7/j5wVXo/7QAay6dA4mvfAv5F+7oFfbwVw42flkMBhw7NgxKBQKt1kHlUrVrd+SN4ctVrbJYDBAr9ejqKgINpsNYrEYDocDEokEOp2OLJEJr3hzC/RmPNGZW6AvkEiObCiS7AN33nkn5syZgxkzZngVycuWLcMnn3yC5ORkXHjhhXjiiSf4aPKWLVswbNgw/scKALNmzcKiRYtw8OBBjBw5ssvtEdZJ7kuRZAB+6/NPx9bhqs9vx3n9p+KzK5eE3A/fV5EsrAHJHlartU09bLYi/PvPtoPVPGmp77gEW6DpzkAgSifD+a+PwBdX/gkA+PXxAxgwOxlRutCrr+qP81SdmYWLV63B+nsXoej7b7D37X8jb94VAc1RZqu8WZSYDbJYOa64uDj069cvoIs1Pcs2sdrbu3fvBgCcPHmSFznCaLNWqw27qj6Rfg0PBWEldGzzdAtk+c3MLVCpVLpV0+isUk9fEsnhLBi7Azu24drnXhHJn332GXbt2oXt27d7ff2aa65BVlYWUlNTsW/fPjz88MMoKCjAV199BQCoqqpyE8gA+P9XVVV1q00SiYQiyT3A7rTjybUvAQAGJQwIyYubtza151oXFRXF53O6udZ5wWBpQBxai/y31NcHtA+BYsDsFORfnIoj31ag6ZQF6/9xGOe9fEawm+WGP88pqVKJGe9+iL1vvIbs2Rf4VSALzykmjJmtsFarRVJSktsga//+/VAqlQEVyN7gOA4KhQJyuRyJiYnIzMx0EznMpMJqtUKtVrsJ53CJNodDGyMJb26BFouFjzbX1NTg2LFj/OJlYbRZ6BYY6YMcIaEw4OlNmL4K1z4HXCSXlpbi3nvvxZo1a9otMXPrrbfyfw8bNgwpKSmYPn06CgsL0a9fv4C0SyaTwWq19slIsj9E8ke7V+Bo3QnEKWJw/1m3+all/sfhcKCqqoo36mCudazaRF5eHtRqNeRy3+sdG60NYJl7Dou1w20DTU+O5bnPD0PhmmrYzA7s/L8TGHFdFpLP0Pm3gSEEx3EYcff9bs+dWPUtksacCWVyis+fw1JxmBAwmUz8YiitVtsrJf38hafIEZYMY6J5//79blPqTOj0Zu59XyechBUbhDG3QM98eW9ugazqQbhGG7tCOB1Lf+A5SxBufQ/4VW7nzp2oqanBqFGj+OccDgc2bNiAN954AxaLpU3Ebty4cQCA48ePo1+/fkhOTsa2bdvctqmurgaAdvOYO0Mmk8FutwPw/yK2UKenItlit+DlP94CADx09p3QRoVGWRdWLkuY9+lwOFBaWuq2sE4YwegORouR//uMu+7vYMvA05N+aNMVOPvhfKx76iBcTuDHB/bghjWT3ap3BJtADmBL163Br7feAEVyCmYv/xKx+YPabMOixEwQNzQ0oKWlhZ9OTklJQX5+fo/Pqd6mvbZ6KxnGos1M5JSWlqKlpaVNtDmY30GkBzrCWVh5y5d3Op1uA82KigoAwKZNm8LSLbArhPOx7A5MX4XrACjgInn69OnYv3+/23MLFy5Efn4+Hn74Ya8/gD179gAAf5GeMGECnn32WdTU1PCj0zVr1kCj0WDw4MHdahdFkrvf54/3rER5QxVS1Um4YdRVfmyZ7/jiWqfT6VBVVYWxY8f6bb8ulwv6ltMi2eUI/rnTk2M57s487F1WjLqjjSjfrsfe5SUYcW1oWFYH+kai7dcfmpxcGI8fw3cXzsTMD5YjbsyZboKYRYnZDTs1NbXXK5gEG29T6sJoc2lpKQ4ePAixWOwWadbpdL3+PfUl8RHOiEQi/lwBWnP4161bh/z8fJhMprBzC+wKfa1OMqVbdIJarcbQoUPdnlMqlYiLi8PQoUNRWFiI5cuX4/zzz0dcXBz27duH+++/H+eccw5fNWDmzJkYPHgwrrvuOrz00kuoqqrC448/jjvvvLNL0+RCpFIp7HZ7nysBB/hmZdweFrsF/9rUWr/6gbNuR5Ske99/V+iua11tba3f21KkL4FJZOL/b2m0w+V0ggvSKLmnFx6xTITzXj4Dyy5qrZ38+zOHMHhuGmTKyBeBqoxMTF3+JX6/9Qbo9+zCD1dcjKS7HkDy9JnQarVITU2FVqsNSD5uuF9zoqKikJyczM/kscigUDi3tLTwdXbZI9wFTrCI9Ogj+z0kJCS4VdNobm7mB61lZWU4dOiQmx13qLgFdoW+Vic53BdlBv1OKJPJsHbtWrz22mtoampCRkYG5s2bh8cff5zfRiwWY9WqVVi0aBEmTJgApVKJBQsWuNVV7irMTIQW7nWNUmMFoiRRSFUn4bqRl/u5Za0IKwP0xLUuEAMghTQal02YDdt3rf/f9+5yNB8pwfR33vPrfnzFH33MmZKIAXNScPSHSpgqW7D1jeM4++F8P7WwZ/izzjVbUCSsOCGRSND/2X+i+JUXUL1uDar//TIGZGRgYC+XiAt3PCODgHudXWaHLNyORQb9kbsd7oOOzugrIlnYR7bQVKFQ+OwWKEzTCNXZnkg/lp6Ee+Q8KGfR+vXr+b8zMjLauO15IysrC6tXr/ZbG/pyCbieCKu8uBxsW/QjTupL/RJFdjgcMJlMvCA2Go2wWCx8/diEhIRuu9YF4oeZrE7EjdOuxBL8CgBorGhA6a9r4LTZIAqDhVrtMX3xEBz7qQouhwtbXj+GkQuzoUoMn+iMJ8LzikWibDYbX9YvPT0dGo2GjxIP/+QL/PHQ/TjyyQfY8Je7oc3rj5TxE4PdjbDGs86u0+mEyWTio83l5eV8uTBhtLkntaKJ8MTXaGNnboEGgwEnT55s4xbIZjFCIYLb10RyuEfOQ3Oo1Qv0ZTORng4MJCIJ8uJyuvw+oWsdezQ1NUEqlfIXPn/mfAYqlUYRLxgcSONgbTCiesc2pEw4y+/76gx/9TGuvxqjbsjGzqVFsDbaseH5Izj/1RE9b2AP8PVGwioyCKPEjY2N/Hml1Wp5UdzeIiCRWIyzX34dcl0MbI0NSB43wZ9dIQC3afKsrNa8dxbdF7q6cRzXppJGdwyjIolIF1Y96V97boEs2hxot8CuEunH0pNwrwvdZ0WyVCqlhXtdwOqw4vP93+KKoRdB7kMEuTPXOo1Gg+zsbGg0Gsjl8oBcNPwtkl0uF34oWIshCfkAB8AFSJSpgBkoWftzUEQya5c/OPvRfOz/vBTWRjt2f3ASZ96ei/iBwbUx9tY3Vm1BWJeYRYm1Wi0yMjK6dQPkOA7jnvi7203MYbFAJJUGLec80vEsFyacTmfC2Ww2Q6FQuEWb1Wq127GN9Gt4pAsrf/fPM2de6BZoMBhQWFiIxsZGyGSyNvnNgS7dGO6R1a4iPLYcx4XdedxnRbJMJoPL5YLT6Yz4C6wn3RGPn+z5EvevfhIf7PocaxeuaHOi++pap1Aoeu0C4W+RXGIsx/wVd0AqkuLRmJfQXG+Di9O2vrb2F4x7ovs58t3FnxccVWIUJt4/AOufOQSXw4VfnzyIKz8PbkRVuGiTCWIWJWYRoc7MX7oKL5CtVqy56TpExcbinFffhMjPn0+0RTidnpnZapVutVp50VxdXY2CggIAcIs2S6VS+l7DmEAPAry5Bdrtdj79x2g08otNWXlHFm3uzC2wqzidzrCooe4vKJIcprDpO6vV2ufSLboqHh1OB/695f8AAJcNuYAflQuFi9lshlwu513rMjIyQqLGpT9F8p7KAwCAQYn9oYiXo7neBmuzBCqRCPojh9BYVgpVeobf9ucr/uzjuDv7YefSEzBVtODYj1Uo/qMWWZPi/fb5ncFuXEajEbW1tbBYLNi6dStfBiozMxNarTZgsw9CqndsQ+m6NXA5HHDabJjynyUQhehioK4QbkEBmUzWxpxCGG0uKChAU1MTAGDfvn0BEzfBhCLJ/kcikXToFlhdXY2jR4+2cQvsqQNlpB9LT8K9v+F/xe8mTCSzSHK4H8iu0JU8bJfLhS/3rUKRvgRamRrD0B8bNmwAx3F8xKdfv3582kQo4e9I8p7KgwCAESlDoYiXo+5oI2xNDsSfPQGndmxCybo1GHz9jX7bny/4u49ShQSTHx+MVXfsAgCs/dt+3PjblIAYjLQXJZbL5bzIaW5uxllnnRUUsZM6cRKm//cD/HrbQhz/agUcNhumv700rBdoRgLCqGBGRuug1GAwYNu2bYiOjubFjcvl4gft7BFq1yhfCLdBTXcIlfuvN7fApqYmXjgzB0qhW2BX8+ZDpa+9BUWSwxQ23WGz2QD0rRO3I2Hl6VpnNBrx0s43AACX512Afpm5fnGt6w38LSB3VuwDAIxIGQKlYPFe2jkXQRGnhToj02/78pVAHIPhV2di25vHUXOwAZW7DTj8bQUGz03r8eeylBzhAjthab/s7Gw+SgyAjyYH8wKbe8HFEC39BGtvvg5F33+DNTYbZvz3A4jDUGwJCfXfbleRSCTgOA79+/cHcFrcsGgzKxUWHR3dJrc5XG7gkXbMhITq/ZfjOKhUKqhUKqSltV4DWeUc4cJAljcvzG1ubyY13EuidRXPnORwo8+KZHYjdjgcAPrGaJ3BxCMrydSRa12lpBbHGk8iSiLHo+fdi3hlXOc7CBH8+YNssVuwtXQnAOCszLE4kdDEv5Y2/Uqc+fAiv+2rq/j73BWJOUxfPBSfztsMANjw3GHkX5QKkdj375NFiYXudU1NTYiKiuLPrZycHKhUqpAXKdnnnY+ZH36KNQvno/inH7D2lgWY8X8fQdzHKy6EEp6/AaG4YTmoNpuNX7h16tQpHD9+HA6Ho020OdSMKcLdjMEXQlUke0PoLMlgtf2NRiPq6upQWFgIu93ulqah1WqhVCr73MI9iiSHKWyEZ7fbAUS+SBZObTc1NaGpqQlHjx7lXevUajWSk5OhVqvdpo0e+PTvAID5Z8wLK4EM+DeSvKVkB1rsFqSokzAwPg/1mcf414wlZqSNifXLfrpKoG4suTMSkT4uFmVb61FbYMLBlWUYdmX7+dZsBkJoAuN0OvmUnNzc3G6l5ITK7zJz+kzM+vhz/HzdlSjf+DsMx44ibsjQzt9IhAxSqRTx8fGIj2/NsfeMNhcWFsJkMiEqKspNNGs0mrC+yYcDofI77y4ymQwJCQlISEgA4O4WKLRuF4lE4DgOdrudjzyHYwpQVwinAZA3+qxI5jgOMpmMF8mRtnjParW6pUww1zpWqF+r1SInJ6fDBQhWhxVOlwsiToQ7x/durq0/8KdIXl/UGlWdkjMRHMdBl63kX9OfbI0qN5aV4ugXn2LE3ff3at5qIG4wHMdh8uODsezCPwAAG184jCHz0iCSiNzy9Nj5ZTab+RmI+Ph45Obm9jhKHGoX1vTJ0zDzg+WQqtQkkEOQrp4v3qLNzJjCYDC4RQRZtDkmJoa3Ku8tKJIcfrTnFmgymbB//37Y7XYcPXo07NwCuwNFksMYqVQaEZFkT9e6hoYGtLS0uLnW9evXjxctBw4cgFqthkKh6PBzZWIZvrxmKUqNFcjQpvZSb/yLv47r3eNvxLCkQcjUtealxWSf/u4MJ81wOZ349sKZaKoohy6vP3IvmuuX/XZGIG8sOZMTkHV2PIo31qK+sAm//nsX4qeK0dDQAAB8xYm8vDxoNJo+YfiQMe1ct/+bSoqhTEv3W3k4onv463fuaUzBZuBYtPnEiRMwmUyQyWRtos2BquRDIjkyYGY6zIUyIyODn4EzGAzQ6/W8WyC7tjLx3F0XylBAmIMdjn3okkiOpBOZ4zg3kRwukWR/uNZ1NcIargLZn5HkeGUcLht6Af9/z0gyJxJhwJXXYPer/8ShD5b2qkj25wDP6XTy55fRaETCXBeKN7a+duD/qnDZZSO6bRPeHUJ58Fp7YB9+uPwiZM08H5NffYMMR4JMoAyJlEollEolv3CLLUBlwqaoqAg2m80tt5lFmyPlftkb9JXvSigapVJpm0GZxWLhFwVWVFS4uQUK85uD4RbYHcI9B5tXUf/9738xc+ZMZGdne93QYrFgyZIluOeee3qrbQEnHFz3Wlpa2rjWsdJG3XWt80VY/V60BQPj+yFZneiPbgQF9n0EYnAXHSODXCuFxWiD4X/pFoOuW4g9r7+Cik0bYDh2FLr+A/y6z0DA0nLYohPmisjsW8dcMhinvj6E4o11aCqzoWEbkHGZOsitDg0aThbBajTi6GefQKpUYuKzL3XJSpsITyQSCWJjYxEb27oOgeWfsmhzUVERH232tNfuTrSZIsmRRUeikeM4n9wCTSYTXyqTnWMajSYkTUrCvZoHL5LvuOMO6HQ6LF++HNOnT2/zYzabzbjvvvtw++23R8y0qlQqhc1m83s0rru051qnVCqh0WiQlJTkF9e6zvprsVtw09f3Q99sxE8LlmNs+shu7yuY+Eskv/Hne2ixW3D50AuRpUvnn4/JVqBqrxHG0mY47U6o0tKRee55KP55NQ59uBQT//Fij/vQGV05d1mUWFhxorm5mV9Aws4vpVLp9n1N+ms+ijduAgBseqUAg+el9cpFL9QvrLkXXAzHv9/Gb3feioNLl0Cu02HMQ38LdrP6JMG8fgvzT1NTW2fdHA4H/zszGAwoLi6G1Wrlqx2why/R5lC4NwWaviaSu9LX9twChcGN3nIL7A4RE0mWy+WYNm0a5s6di8cffxx33XUX1OrTESOpVMqLykgUyb2dbiGc1hamTTDXOq1Wi4yMDKjVar8n8XfW368P/YhTTXVI0yRjREr4LlDyx0XX5XLhnW0fotRYgRHJQ9xEsi5biaq9RrgcLhjLmhGTrcTgG25C8c+rcfSLT3HmY09B0knetz9o7yYqLEvEzjGh7W9ycrJP0YfsyQlIHR2Dip161BxswPGfqtB/dkogutKGUBcI/S+7CtaGBmx69EHseuVFyDRaDL/9rmA3q08SSiJLLBa3iTa3tLTw0WZmSiG0V2fCpqM0uUiFRHLX8JzNAE67BTL7duYWyPSEP9wCu0PYR5LZAbPZbPjnP/+Jq666CjfeeCN27NiB1157jXc0EolEcDgcvPlGuMOqW9hsNkRFRQX0ZswukJ5pE0LXuu6WyOoOHUUfW0XhRwCAG0dfA6k49KZvfEUYSe4ux+uKUGqsgEwsxYTMMW6vxQjykg0nmxCTrUT6lOlQZ2bDVHISx7/5EvnXXNftffsC66PT6eSn5FiEgUUWmCAeOHBgt0xgOI7DpL8OxBdX/QkA+OPlAuSdlxzWFz5/MuTGW2ExGrHjhWfw51OPQabRBvy4E+EFx3GIjo5GdHQ0X+3A4XDwuc2sTFhLS0ubaDOb1Y3k31tfE8mBiKx25hZ48uRJmEwmSCQSt9zmrrgFdgfW31APeLQHP2SVSCTQ6/W49NJLMWzYMFx22WWYMWMGli5dikmTJkEul0MkEsFqtQazvX6F5SRHR0f7NZLs6VrX0NAAu90OlUrltrAuWK51HYnkHeV7sLtyP+RiGW4YeUUvt8y/+EMkf1+wBgAwKWsclDL3qLDn4r0cAJxIhEELbsSuV16E3dyEQMGiBlVVVTCbzdiwYQO/elqj0SAlJcWvpYT6n5eMhMEanDrUgPLtehRvrEX2OQl++ez2CKeb5sj7HoS1wYh9b/0bx75YjoFXzaeFfL1IOIossViMmJgYxMTE8M8Jo83C2roAcOLECb4EXSSVCAPC8/h1l96KrPriFlhRUdHGLZA5UfqrWouwBFw4HmM+kswixQDQv39/7NixAwsWLMCcOXPwz3/+E1dffTXEYnHERJKB0yXgepKT7BnBY3meQmex7OxsqFSqgJUI6iod9XfJ9o8BAJcNvSDszEPaoyci+bvDPwMALho0q81rOkEZOP2J04J48A03If/q6xAV55/vj9XXFEaJLRYLVCoV5HI5JBIJRo4cGdBBFyficNYDA/DNzTsAtOYmB1okA6GfbsHgOA7jnnwGqvQM5F99XYcCORxvFETv4Lloy+l0ora2Frt27UJjYyPKysrQ0tIClUrlFm32XEcQbvQlkRzMvvbULbA77Q73Y+sWSRZGiSUSCZYvX46XXnoJ999/Pw4cOACLxcKXTIsEulrdgq1i9kybEIvFfNpEUlJSyNeMFYlEXo9jdeMpfHPoJwDArWOv7+1m+Z2eRpJLjRXYXbkfHDjMGTCjzevxA07n7NceMfF/y1RqQNWtXfIlgISCmE2RsdwyYYm/+vp6HD16FEqlsvMP7yGDL03D+n8chuFkE4p+O4XyHfVBcxoMRTiOw9CbbnN7rkVfj6iY0PqOwmXg0RUisU9A67WarQ0aMWIEgNZoM8s9LS8vx6FDhyASidxEs1arDclKB+0R7kKqK4RaX9tzC2TRZuGMhjDa7KtbYMSYiXimUnAcB4fDgYceeggjR47E3XffHZQGBhKWk9zeQjahax17OBwOqNVqaDQapKenQ6PRhF09zPYiybsq9kEiEmNU6jCMSBkShJb5l56K5FVHfgEATMwcg0RVfJvXNenRkKkksDbacepIg9fPqNj8B+ByIfWss72+LjSCYaN5m83Gr1JOS0sLmZqrIokIEx/oj9X37AEAbP7XUVy+fHzA9hfs/vYEl8uFHS/+A0eWfYSLV62BJis72E0iwhTP61dUVBRvSAGcnmliaRrl5eVobm6GSqVyWxQYyoYUoSYcA0moL2TzVq1FOJtpMBhQUFCApqYm3sKdiWdvKX7hfmz53gwePLhN9FMsFsPhcODcc8/FmjVr8OqrryIqKqrXGxkohJFk5qrUnmudv6x2Q4H2RPLsAdNx6L6NONVYG4RW+Z+e/jBNlkYopQqvqRbs8+MHqlGxUw9DsRnWJjtkytMXiCOffIgNf7kbMfmDcdlvmwGO46NATBQ3NjZCIpHwFxk28PI1Nae3yxcOvzoTG58/AlNlCwpWVaLmUAMSB2t6bf/hgt1sRvFPq9FcU40fr5qLi75fg+j4tgMtX2ALf4WVSiQSCZ/PqtPpuhw1DOebVntEYp8YHfVNGOHLysoCAN6QwmAw8IYUHMe1qaQRKjOe4S6kukI49lV4jmVmZgKAV7dAq9XqNjjTarVwOByQyWTgOC7s+g0AEib4/vjjD68biMViuFwuZGRk4F//+ldvti1gOBwOHDlyBNXV1Vi6dCkaGhpQVlaGzz77DImJifziOrVaHVZTVr7SkbCKjdYhNlrXuw0KED2NJD90zl24Z+ItcDgd7W4Tn98qkuEC6o6akDLy9CKczNkXQPLUY9AfOYT1b78B6RmjYLPZ+ItIRkaGX5yTelMkS+RijL+7P9Y8th8AsPWNY7jwrdEB21+4TqNLlUrM/vRLfHvBuTCeKMQvC67CnJXfQxId3el7hescWOTGZrPxVrVZWVlwuVwwGAw4fPgwzGazW45qTExM0BYFE/6nO6JKLpcjKSnJLdrc2NjIC+fKykqYzWa3uroxMTFBizaH6++8O4R73WCGN7dA4WC+vLwchw8fhtPp5NMyBg0aFMwmdwuflsgKy0yF48F1uVz45ptvsG3bNmzduhU7duyAw+GAXC5HXl4errnmGkyePBljx44Ny/51FW/pJUX6EuTEZAapRYGjp5HWKEnHOVcJg05HUcv31YFLOZ1P3NjYCN15c1C78jNULv8Is6++Fppuum61RzBuaCNvyMaGF4/AYrThwBdlmPb3oVAm+L90YbiLPGVKKmZ/+hW+veBcVO/YhvX3LML0Je+12c5ms/E3FnbuCCM3aWlpbrMLHMdBKpXy5TmtViv0ej0MBgPKyspw6NAhvswTizR3ZXYiHOlLIqs7COujs0ig1WrlRXNVVRUKCgoAwC3arNPpeiXaHCnC0RfCMZLsC8Iyh8KFp7t37+aLQ4QjXaoj469OvvDCC3j00Udx77334rXXXgPQuhjhL3/5Cz777DNYLBbMmjULb731Fj8SBoCSkhIsWrQIv/32G1QqFRYsWIDnn3++03I4HMfh3XffRWpqKq6++mq8+uqrGDJkCC677DKMHTsWZ599NpKSksL2IHYVT+F4Ul+KkW/MwOi04Vh9/TLIOxGG4UR3RXKpsQIZ2tR2X7fb7TCZTHDGmPnn9v92FBiSyE9JabVauM4Yjs9++gGNx4/C+OdmxJx/Qbf60R7BcIuUqSQYuSALf/77OBxWJ3YuLcI5j+T3ahvChZgBAzHz/WVYfeUlOPHdV9Dk5EA+5xI0NDTg8OHDMBqNbiWYulPPWiaTtYkasgi0Xq9HUVERbDYbL36sVmtELcBmRKLwAAInqmQyWZu6uo2NjdDr9TAajXzeqUKhcBPNgUg57EuDnEgVyd4QiUR8YQOWChRu9Hqxxe3bt2PJkiUYPny42/P3338/fvjhB6xYsQJarRZ33XUXLr30Umza1GqH63A4MGfOHCQnJ2Pz5s2orKzE9ddfD6lUiueee67T/a5evbrNc6FmS91bePb34z0r4IILGrk6ogQyo6vHtr7ZgBFvTEduTCZ+vWkl1DIVmpub2+QSy+VySJNPl4GLbtJhzBh3wxFERWHITbdhz+svY+e/XkTW7Dl+v0AG49wdc2s/bH3jOFxOYOf/ncDE+/tDIvd/pDLcf5cOhwOKIcMw+NGncGDx49jz+ivISE6DZuAgJCUloV+/fn7PDRWJRHy+ck5ODlwuF7/mQq/Xo7m5GYcPH0ZxcbFbtDmUF3Z1RrifJx3RW30T2h8zWHkwoYuby+WCRqNxE849NcHqS8KxL/UVCP9ZgnZFssVigVQq9WvnGhsbMX/+fLz77rv4xz/+wT9vNBqxdOlSLF++HNOmTQMAvP/++xg0aBD+/PNPjB8/Hr/88gsOHTqEtWvXIikpCSNGjMAzzzyDhx9+GE8//XS3bjJMJIezG0x3EIpkm8OGT/Z8CQC4YdSVwWxWQOjOAOjrA6thd9oBB1B05ASMRiOcTidf1SQ7OxsajabVqdHpwm/KUtiaHKgtaPT6ecNvvxMH/+8d1O3fi+KfViN79hx/dA1A8KJnukwF8i9Ow+Gvy9FUY8HBlWU4Y75/IwXheCMR1hw1GAynHa7OmYq8W+9EXF5/iEefCZVKhezs7F5pE8dxUCqVUCqVSEtLg9lsRnJyMqKjo6HX61FZWckv7BKK5nAzrQjH88VXgtU3b+XBWG6z0WjEsWPH0NjYiOjoaDfRrFaru6wdIvn4CQnXtNXuEurVPDqj3Svgyy+/jPPPPx8jR47028jnzjvvxJw5czBjxgw3kbxz507YbDbMmHG6Fm1+fj4yMzOxZcsWjB8/Hlu2bMGwYcPc0i9mzZqFRYsW4eDBgxg5cmSX2yOTyWC1WtstARepCIXjz8fWo6qxBgnKOMweMC3ILfM/nYlkFmUTRonf/bPVUGVG2iTExsYiJyen3SlGTsQhYaAGFbv0MBQ3wWa2Q6pw/1lFxcZhyE23ofCbLyGO8n+kPlgDvDPv6IfDX5cDALa9VYjh12SG9cWwq3javhqNRjQ3N7dfvm/Y8wCAgwcPBrnlrQuyheKHlXhiuc0lJSWwWq1Qq9W8aI6JiYmo6kbhQihFHoXRZpYTz3LqDQYDTp06hWPHjsHpdLrV1NXpdB2eO6HUx0DTl/oKRHAk+bPPPkNOTo7fRPJnn32GXbt2Yfv27W1eq6qqgkwmc3OBAYCkpCRUVVXx2wgFMnudvdYd+mokWdjfD3Z/DgCYf8Y8yMShUQ7In3iet0LLcCaMWZRYq9VCGh+Fww3HwYHD3TNuQaomudN9xOerUbGrtcJFbYF7hQvGyPsexOgHH4G4h9OSngTzYpt+ZixSR8egYqce1fuNKP6jFtln+9eFL5R+lw6Hw62eNZthYFPPzEjIl4o4lrparH32KZz13MuITgi8c2FnCBcKAqdXqjPRXFRUhL179yIqKspNNIdKScxQOk/8Taj3TSqVIj4+HvH/K3HIBo9sUeDx48fR2NjI19RlD41Gw587fUU4smPZF/rKYJHksC0B194LMpkMLS0tftlJaWkp7r33XqxZsyakIhHCnOS+GEkuMZRj7fENAIDrR14R5Fb5H5fLBZfLhZqaGpSVlaGhoYEvgK7Var3Wvn5pwxsAgMk5E3wSyACQOOR0hYvqgw1eRbI0gI54wbqJchyHM+/oh29uarWq3vbmcb+K5GBfUIXljFgeukwmg1ar7XSGoTP2P/Uo6rdvRWN5GS74cpVPpeH8hS/ni3ClOjMUsNvtMBqN0Ov1qKmpwbFjx+ByudxKzwXT6S3Y50sgCae+cRwHlUoFlUqF9PR0AKfPHYPBwFsfOxwOfoDZ0tIS8oMBf9AXRXLERpJTU1N7nIzP2LlzJ2pqajBq1Cj+OYfDgQ0bNuCNN97Azz//zJejEUaTq6ur+VIiycnJ2LZtm9vnVldX8691B5lMBrPZ3GcX7n2+/xu44MLknInoFxueK0+FsGk/YZTY4XCgrq4OcXFxyM3N7XCRlMvlwqf7vwEAXDXsEp/3mzRMy/9dvc/Y4bZOux1HPvkAtqYmnHHnvT7voz2CfbEddEkafn3iAEwVLTj6YxXqCxsR26+bntxBxOl0uqVOGAwGWCwWvv4wq1bir0H+oL8+hh23LkDNzu1Yf8/tmL7kfXAhfiORSCRt6qKyagjMtKK5uRlqtdottzkU3CLDmUiIsno7d9hiUoPBgPr6elitVvz2229tos2RVLqQBePC/Xh2hXDPwW5XJK9YsYKPCPS0g9OnT8f+/fvdnlu4cCHy8/Px8MMPIyMjA1KpFL/++ivmzZsHACgoKEBJSQkmTJgAAJgwYQKeffZZ1NTU8CVr1qxZA41Gg8GDB3erXX013YKJ5Hsn3oLBiQMRE63t/E0hBrtBCwWx2WxGdHQ0tFotEhISkJeXh71792LAgAFtUnm8sbNiL07UF0MhjcaFg2b63BY3kbzf0OG25Rt+wx8PPwBxVBT6XXwpVOkZPu/HG8Ee4ImlIoy5NRe/PX0IcAHb3ynErH+e4dd9BEIksMiWsDYxAD7lICUlxavFqr9QZuXg3PeXY/UVF+PEd18jdtAQjHrgoYDsK1AI81NZ7d2Wlha+ikZxcTH279/Pp9IJazZTCbG+jediUplMhubmZqSlpbUpXehZSaOn5kvBhJ2n4Swauwrrc7j+Rtu9A/gzLUKtVmPo0KFuzymVSsTFxfHP33TTTXjggQcQGxsLjUaDu+++GxMmTMD48eMBADNnzsTgwYNx3XXX4aWXXkJVVRUef/xx3Hnnnd2OePfldAun0wmZWIY5A2d0/oYQwGq1uuWDmkwmAOAL5Ofl5UGj0bSJEndlADQiZShWXv1/OGkog0rme3qEIk4OdVo0TOXNqN5vhMvpAifyfhFPnzoDKRMnoXLzH9j2/GJMe/Ndn/cTqoy6IQcbXyyAvdmBPZ8UY/LfBiFK1/P8dn/dCD2doFjqBEu7SUxMRP/+/aFUKnvl5sv2kTpxEia99Bo23H8ndrz0LOKGDEPWrNkB37+wDf4mKioKycnJ/Oyew+HwOs0udHnzl2FFuAqnzoiESHJnuFwuiMXiNtHm5uZmPtpcVFQEk8nED7qE1sfhEm3ui+kWERtJ7m1effVViEQizJs3z81MhCEWi7Fq1SosWrQIEyZMgFKpxIIFC7B48eJu71Mul8NqtUIkEvU5kRzKozrPqe+GhgY0NzdDoVBAo9EgKSkJAwYM8EnUdKWvEpEE5+ZN7labk4drYSpvhqXBDkOxGTE53kU2x3EY//Sz+HrmZBxf+TmG3bIICSNGed3WF0LhWEbHyjD8mkzsWloEW5MD+5aX4Mw78vz2+V0VCaxSg1AUC22ds7OzodVq/ZZO1hPyr7kOtfv34NB772LdHTdj7k+/Qdd/QLCb5TfEYjFiY2MRGxsLwH1Rl16v5w0rlEolL5h1Ol2vDVjCgWD/vnsDb79xjuOgUCigUCj4vHjhoMtoNKK4uJivwiKMNodqik9fFMnhPsgLmkhev3692/+joqLw5ptv4s0332z3PVlZWV5NQbqLRCKB3W4PCaHRmzTZzLh508O4unku/jLp9qAbiAhry7LKExzHQaPR8C5kvlYN8KS3jm3SMC2O/dhaZaV6v6FdkQwACWeMRP/Lr8KxFZ/hz6f/hgu+Xt2ji0gonLtjb8vFrqVFAICd7xVh7KJ+vXZh9GbrLBaLodVqodFokJGRAbVaHbLRpomLX4D+8CE019WCE4dvxMUXvC3qYutR9Ho9ysvLcejQIYjFYrcqGp3lpobCbyCQhLPI8AVfhZS3QRczejIYDHyKj1Qq5QUzS6EKhZrffVEkR0wkmVUCCOfOdBWZTNYn0y1+LFyHkqZyfH1oNR6dfE+v7tvpdKKxsdFtgV1LSwuUSiU0Gg2Sk5N9jhL7gq+f8eCPf4dCGo1bx16HdG1Kl/eTfIaO/7tqrxH5F6V1uP3YR5/Eie+/QeWWTT0yGAmVi21CvgaZZ8WhZFMd6o42onhjLbLP6VmlC299E9a1Zo+e2joHG5FUinOXfgKRXAaZSt35GyIMT3tkp9OJhoYGfkHgyZMn+dxUoXD2nAkIl+PdVcI9EucL3R3kCKPNKSmt121WqpGlabBoM1uEyx7BuEYIy6H1Fdj5G679lrAOfPXVV9i9ezduu+02xMfHI7oXSxIFCyaS+9rCvS8LWqPxV59xacBPWovF4iaITSYTRCIRHyUO9AIpXyLJNY21eH/XZ7A77bhy2MXdEsnui/c6rnABAKq0dAy77S7sef1lbHvuaWTNmt3t6gahcu6OvikXJZvqAAA7lxb1WCQzmHMdE8UOh4NPnWgvFz3ciPpfHiaj4WQRNNk5QWpNcBGJRLyQAU5HC5loZnV3FQoFvx0L8kQikdovIf4M0LFZiJiY06U4WbRZr9ejtLQUBw4caHXCFIjm3og294UBjycRE0m2WCx45ZVX8Oabb2Lq1KmYP38+xowZg/j4eCgDWOM1mPTFhXsn6ouxrWI3ROBw1bCL/frZLBdUuMCOldHSaDRITU2FRqPp1RG8LyJ5+b6vYHfaMSbtDAxJGtit/eiyFJBrpbAYbajyQSQDwIh77oe+4DBG//XRbgtk9j2GwsU3/6JUKBPkaDplQcH3FTBVtUCd3LUFwGzqnU2fAq0OdexGlpWV1S3L21Cjo3Ny3ztvYOviJzB9yfvIvfCS3mtUiCKMFqaltc7Q2Gw2PlJYVVUFg8EAp9OJHTt2hK2tdkcE+7cdaAJ9/WI1v9mCUjZbwc6h0tJStLS0tIk2+zs3PhSu071NuPdZwhp/zTXX4JprrsEff/yBxx57DJdffjkGDRqEGTNmYObMmRg0aBDS0tJCYrGLv5BKpfzCvb4wWgeAz/Z9AwAYETvEZ7OM9mhpaWlTcUIikfBRYiaKg32j6syW+qPdKwAAC0Ze2e19cByHpGFalPxRC1N5M8x1FijiOv6tyFRqzPrw027vk+03VBDLRBixIAubXj4Kp92FPR+dxNkP5be7vaets8Fg4FNvdDodUlJSYDKZMGHChKCfQ72JuaoSLocD6+9ZBF2//ogdPCTYTQo5pFKpm612VVUVjh07hoSEBD5aaLFYvNZsDjfCXWT4Qm/30XO2AjhdvtBgMLjlxguttXtqltMXjqUnERNJZkyaNAlDhgxBUlISXnnlFTz00EO49957MWDAAMycOZMvxRYJyGSyPrVwz+ly4tN9XwMApidN7NJ7HQ4Hn0vM0idYlFir1SItLQ1arTbkVhV3dmw3lWxDYf1JqGRKXDrk/B7tK/l/IhlozUvOnZbYpfc3VpRDldpxLnN7hMrFd+QNOdj0ylHABez+4CTO+stAiMSt7bLb7W6DqoaGBrhcLn5QNXDgQLcFmjabDUePHg2JfvUmZz7+d9QdPIDyDb/h5xuuxtyf1yMqJjbYzQp5xGIxsrKykJXVaozEyoexmrsmkwlyudxNNIfDrERfuDcBwR/we5YvZDOjQuHc3NzMR5uZeFapVD63PdwFY3cIlXtTd2k3PON0OpGZmYnPPvsMLpcLb7/9Nu6++27MnTsXK1eujIiDLZPJYLVa+0y6xabi7SgxlkMtU+HM2BHtbsfqygqNOliUmFUMSE9Ph1qtDvkIX2ci+cNdXwAA5g25oEu1kb0hXLxXuVvvs0h2uVzY/txi7H3rdcxevhLpk6f5vM9Qu/joMhXoPysZx36qQkNZM3Z8fgS6MeI2ts7x8fHo168flEplp9eRviISGCKJBNOXvIevZ02Fqfgkfr1tIWYv/xKiEP+thRpsip0t6BLaap86dYq31dZqtW7l54Jlq90RofY79zehKKREIhFfGYMNvCwWCy+aKyoqcPjwYX47YbS5I1fXUOtnoAl3rej1qqtQKNDc3AwA2LJlCzZv3oyNGzdi3LhxmDt3LoDI+NFKpVLY7fY+k26RoIzFgpFXIlokh0x0+kbgcDjcFkY1NDTAZrPxUeL09HTekjfcjntHIrm+2YBvD/8EAFgw6ooe7yt1tI7/u2KX3uf3cRwHe7MZLrsdmx59EJf9tgViH9OahDnJwYTVtjYYDIibIcKx1q8Vu5YWYdqYvG7ZOofbueZPomLjMPOD5fh2zgyU//4bdrzwD5z5+NPBblZI09n50pmtdmVlJcxmM1QqlVsVjWDPjvUFYRUufZTL5UhKSkJSUhIA95rswnOIpYyxB4s2h0s//UUkOAy2EckOhwMcx2HPnj2477778MUXXyAvLw933303Lr/8cgDhPzJgsJzkvhJJzk/oj9fnPAO9Xo89e/agoKAADQ0NaGxshFQq5UfNmZmZIV1Xtit0dEGyO+y4YdSVOFRzFKNShvV4X3H91ZCpJbCa7KjYZejSe8c89BgKv/kSxsLj2L/kTYy454EetyeQ2Gy2NqkTrLZ1zrQEHEyvh6msBbU7LEiQpiEmKTIX/waSuCFDMfn1t/DrrTdgz3/+hZwLLuqR8Uwk051BojdbbYvFwovmkpISHDhwAFKptE3N5ki4/4US4SoehdFmdg6xxcdMNB85cgQA+CCB0+mE1WoN+4o8vsB0VTgeWwYvkm02G/788098+umn+OWXXyCXyyEWi7Fp0ybk5JwuRRQpAhk4nZMcyZFku93Oj3SZqLHb7QBaT9zMzExoNJqwjBL7SnvHNlEVj5fOe9JvF2hOxCFlpA7FG1oX73WluoNMo8W4p57B+rtuw65/vYS8Sy+HKj2j8332QiRZWLCfPZqamhAdHd2urfOYm2z47e+HABew95NiTHmi++sYIvW36Qv9Lr4Up3bvhDozC/FnjPTLZ/bl77Mz5HJ5G1ttVrNZr9fjxIkTAbPVbo9wFZBdIZL66Fn32+Vy8bnN1dXVsNlsWLdunVsJQxZtjhRtxfCMJIfjMebrJK9duxZz5szBtGnT8OKLL2LevHn8Rg6HAyKRCBzHRdRBZDnJACIikiwUM0wQNzY2Qi6XY6N+O4ak5OPsYeMhl8uxZcsW9O/fPyxP2q7gywDIn99B6qgYFG9oXbxXuUsP9fm+11zuf9lVOPLxB6jaugVbnnoM5y792Of3+lP4dGbrnJubC41G02Glm+Hzs7D+H4fhcriwd1kxznlsEL+Az1ci/dz0lfFPPxvsJoQFgThfPGvuCm21DQaDm622UDT7s3RYXxjURJJI9oTNsGk0GkRHR8NiseDMM8/kUzSqq6tRUFAAANBoNG7COdyriUVEJJmP/IwZg507d2LkyLbRikiYdvdGuJuJCKsFMDtnu93Oi5ns7GxoNBpYORsu/ddtaNltwcZbvkW+Ig9AZF+YhHg7tu/t/BQD4/thYuZYv4tkRsVOPQZ0QSRzHIeznn8FX517NopWfYvS39YiY+qMTt/TU4S24KyUHyt9pNVqu2XrrE6OQv9ZSTi6ugqmihacWFuNvFk9KzkYKfTkmFkbjDj54w8Yet0NQWtDKNJb1++u2GoLRbNWq+3RfTTSjpcnfelexHEcZDKZWwlDlh/PBl9Hjx7lZ+uEojkcqrEIiQiRzP5Qq1vtUHfs2AGbzcY/rFYrbDYbLBYLP3WfkpKCCy+8MGiN9hdCM5FQF8lCO14mjJuamiCXy6HVahEbG4vs7GyvP6Kv9/6IFrsF/eNyMSxpEJ9uEep99gfejm29WY9Hf3kWLXYL1t30JUanDvfb/lKEIrkLi/cYcUOGYshNt6Fg2UdoPlXj8/t8PZad2TqnpKRg0KBBflmsNOL6bBxdXQUA2PNxcbdFcl84T33B1tSEr2ZORkPRCURptci7aG6wmxRSBOtG3J6tNhPOzBaZRQlZZNrXKGFfEJB9oY9A+/0U5sdnZLSm2THDHKPRyFdjcTqdbSppdGUxdG/Drt3hfGx5kbxnzx5MnDgRUVFRfJ6uSCSCWCyGWCyGSCSCXC5HY2MjZsyYEXEiOdTSLdjCKGGk2Ol08lHinJwcaLVany60Kw5+DwC4YuiFbv7pfUF8ePtxLtv7FVrsFgxLyvfLgj0h2oxo3nWucpe+Wxf/MQ89hjPuuAfKlNROt+3ss1lOpVAUO51OvjZxXl5ejwvkt0fezCSokqPQWNWCo6sr0VjTAlVi6F7QQx2pUomcORdh7xuvYd1dtyF+6HDocvsFu1mEB0KjiuzsbD4NjonmwsJCmEwmREdHuy0IbK/ebl+4Tvd1kewNT8Mcz1SfY8eOobGxEVFRUW7R5lBaWOp0OsP+uPIiedSoUThy5AjkcjkkEombQJZIJJBIJPwBDvXauL4SKukW7OQXCuKmpiZERUVBq9UiLi4Oubm53Ursr2msxW8nNgEA5g1tHdj0NZEs7KfT5cTSncsBADePudbvP2CO45AySofjP1ejWW+DvqgJsbmqLn2GTK2BTK3p0ntYHy0WS5vUCVa5JCYmBjk5Ob22QEQkEWH4NZnY/K9WB779n5Viwj39fX5/uF9cA8HYR55A9fatqNq6BT/dcA0u+3k9JGHoIudvQvlaJrTVTk1tHfjabDa+ZjPLSeU4jv+dxsTEuNlqR/pvoa+I5J4UPvCW6mO32/loc11dHQoLC+FwONrkNgcr2uxyuUJGsHcXXu3KZDIMGDDA60anTp3Czp07MW2a7yYH4QATyb0dSfZWPos5j2k0GuTm5nZYkLwrfH1oNZwuJ0anDke/2NaC6OxiFGrR80DgKZLXFf6BIn0JtHI1Lh8amNmQ1FExOP5zNQCgcpehyyJZSNnvv+H4V19g8mtvtbmJsMEVABw9ehQmkwktLS0hVd96xLVZ2PyvowCAPR+exPi787rcllAWQL2NSCrFjP9+gC+nT0Lt/r3Y+OiDmPram8FuVkgQTiJLKpUiPj4e8fHxAFqvxcKazWVlZWhpaYFGo4FEIoHVakVzc3NY2mr7Ql/5jft7MCCRSNzOI5ZOx6LNbNaCBdyE0ebeWGsmHBSE0+9TiFtIuLm5GQcPHkRRURFaWlr4yg9btmzBe++9h1dffRUikQh33313RIz8eiMnmQkZoSA2m818+ayEhATk5eX55DzWHVYc+F+qxbCL+Of6ciT53R2fAACuOeNSKGWKgOwz1SMvechl6d36nJb6Ovyy4GrYm81IHjcReVdc3SZ1giGXy5GamuoWfQoFYvNUyJwUj5I/alF3rBFlW+uRMT4u2M0Ka5QpqTj3v+/ju3kX4uCHS5E64SwMvPKaYDcrqIT7tUwkEvFBEubu1tLSAr1ej7KyMjQ3N2PDhg28rTZL0Qi3hVztEQkRR18ItG7iOA5KpRJKpRJpaWkATjtNGgwG1NfX48SJE7Db7V6jzf5um2d/w1Ez8nfTxsZG3HXXXfjoo4/43CiWauFyuRAdHY2XX34Z+fn5ESOSWT6vw+Hw20XWarW2qTgBgL8A5uXlQaPR9Eoh8QaLCaXGCog4EeYOPp9/nuUlh/uNxVdYP4sNZfj52HoAwM1j5gdsfymje7Z4D2htsytagQGL7sahf72ITU88gpJoJVRJyW1sndevX4+MjIyQjTKNvD4LJX+0lsXb/eFJn0VyuF9fOqKnv73MqTMw9qHHsP3FZ7H9lRfQf94VZFsdYURFRSElJQV2ux0cx2HEiBG82KmtrcXx48d5W21hJY1QtNXujL5yLwpGjq43p0mWI28wGFBUVASTyQSZTNYmt7mn0eZI8NXgr6r19fVYtWoVNm/ejPHjx7tttHPnTkydOhWlpaX8c+HecQD8xcRut3cr9YBZ8QorTjQ3N0OhUECj0Xg1WehNNHI1Dt27AQdrCpCkSnB7ra+IZGE/yxsqkR2TgeyYDOTF5XTyzu6jjJdDm6WAsdiMqj0GOO1OiCQd/17YdKswSmy1WqGcPB2q779G47Gj4H76HhOXvN/mvaEuJvMvTsNPf90Hi9GGw1+XY9ZLwyFX+34j7wvnaWe4XC60tLTAYDCgoaEBMpkMWQtuht1qxag77iGBjND/HXQX4Vogb7babEHg4cOHeVttoWhWKBQh/91EQtDNF0Khn95y5Fk5WXYuFRUV8bXxhcK5q1WPQqG/PYW/snIch5aWFowfP563pna5XBCLxbDb7XzU1WazheVI1Rssmmu321sjd50cUFZPVhgpZoXCtVotkpKSoNFoQur7EYvEGJ7c1u2sL4rkiZljsevONag3dy+62xVSR8XAWGyGzexAbYEJiUO0bq+zvHS26KKhocHN4jQtLY0fyee88V98M3sair75EqVXXoOMaee228dQRBotxtDL0rFzaRFsZgeOfFeBM+Zndfq+cL+49gTPlexs0MRuWlarFUePHYP5zLOw80gBYmJq+AVfnc0ohPK5QviOt7JhFouFFzqlpaW8rbZnzeZQDHL1hd97qKaVSCQSxMbGIjY2FoB7tNloNKK4uBj79+/nzyVhtLmj9L6IiiTrdDrcdtttANqahwwaNAhPPfUUAISUAOwprC82mw2A+6hHGNljorilpQVKpRIajQbJyckYMGBA0KLEndFsa4FMLIVY5H26JNSFlb/w7KeIEyFeGfic2NRROhz+uhwAUL5TD1WOtF1b56SkpA7PpYQRozDk5ttx4L9v4Y+HHsBlv/8JqVIZ8D74k+HXZGLn0iIAwL5PS3wSyX0JVluXTacbjUZ+Ma9Op+PzzcViMTiO469dFouFt0ze+d67sEpliBs3AbGxsdDpdIiNjQ3Za5Q/ieRrWVeicXK5HElJSUhKSgLQvq22RqNxKz/XG+l/HREJEUdfCJd+eos2s3OJDdxZ/W9WlpYJZ+HMhbC/4dBvb7iZibz00ktoamqC3W7nHw6HAw6HA1dddRWA1mjqkSNHMHy4/wwYggW7MDidTtTX12Pjxo1IS0vjS2exxRRarRbJyckhFyXuiP9u/xhvbn0fD05ahFvHXtfm9b4mkr8/8gvOzZuMKEngbT6dTic0A0/fdHatPgxDRhF/LnWnesnYRx7HydXfw1RajMJvvkT+/Ov518LhWKaOiUFsngr1xxtRvKEWhhIzdJm+LZwM9b51B6fTibq6OreZBKFLm6+l+uRyOZKTk2FYvxbFrzyP6IQEjLv4EjSLJaiqqsKRI0fcrJVjYmIi8vsEwvcm3Bk9EVbebLXNZjNfRYPV2lUoFG6iubcHVuEiHntKOPfT27nEUsAMBgNKSkpw4MABSCQSXjCHc38ZvEi2WCyYMGECoqKi+IVs7GJqs9kgl8uxdetWVFZW4sYbb8SOHTuC1uieYrVasXv3bmzZsgUAMHXqVNTX12Pq1Kl44YUXkJKSgvz8/LDI5WqPbw7/hOrGUxBx3m+y4SCs/AHHcdhbewg3rX0QGdpU7LpzDWRi/0ZNvNk6uzgO4AC4AHupFOecc06PFkFIlSqc88q/YW1oQM6Fl7R5PdSPJcdxGH51JtY/cwgAcODzUkz660Cf3hcJsPrVBoMBp06dgt1uR01NDXQ6HZKTkzFw4MAeXW/yLrkMu/79KuoPH8Suxx/GhV98A04k4iPUer2eX9lus9lQWFiIxsZGXhiFUkWU7hDq53+oIKx+4GmrbTAYUFFRgcOHD/MDNiaae2qr3RmRIKZ8IZL6yXEcoqOjER0djZSUFADubpMGgwF1dXWw2WzYvHkzRo0a5bPLZCjBXxklEglmzZoFmUzGm4gIzUR0Oh0AICYmBnfeeWew2tttKioq8Morr2DLli3YtWsXlEolxo8fD4lEgoceeggZGRmYOXNm0Ked/MFJfSl2VeyDiBPhovxZXrcJRZfBQMBxHD4t+AYAMCXnrB4LZGEdSiaKm5uboVQqodVq+Wnx6OhoFAz8FbVHTKg73AiXDUAP7zHpU6Z7fT5cLrpDr8zgRfK+T0tw1oMDwqbtXcFz9Tg7R1j9amYI0F5d+u4giYrCrKUf44tpE1Hy6y/Y99+3cMbtd7m5v+Xk5MDlcmHTpk3Q6XQwm80oLy+HxWKBWq12izaH480sEs8lIPDCyputtslk4qPNJSUlbWy1/W1QEUnisSMiIUe3I4TXG6BVdxUXFyM7Ozuk7bM7ghfJYrEYzz//fLsb1tXVAWgtZbZw4cIu7+jtt9/G22+/jZMnTwIAhgwZgieffBKzZ88GAEyZMgW///6723tuu+02vPPOO/z/S0pKsGjRIvz2229QqVRYsGABnn/+eZ+iIBKJBGazGbfffjvGjx+P/v37w+VyQafTYdKkSTh16lTERCO+PfwTAOCsrDORqIr3uk1fiSRXNlVjXdlmAMCiMxd0+f2d2Tr379+/XVvn1FExqD1igtPuQvV+I9LGxva4P4yWujrU7NqOzHPPAxAekTRdpgJZ58SjeEMt6o83omKH3qfvJNT7Jly/wESxzWbjRYXnOXL48OGARG7jBg3GpH+8hN8fvAebnnoMaWedg/hh7mlxrLRnfHw8kpOTAbTWx2c5q8ePH0djYyOUSqWbaO7qqnbCf/T2+S9cQMz2Lxz0CW21haJZrVZ3+xzpKyK5r/ST4XQ6IRaLkZSU1CvmJYGgzZW6sbGRNxKx2+2wWq04deoU5s+fjy+//BJWqxVnnnlmlw90eno6XnjhBV6cfvjhh7j44ouxe/duDBkyBABwyy23YPHixfx7FIrTOYsOhwNz5sxBcnIyNm/ejMrKSlx//fWQSqV47rnnOt1/YmIi3n777TbPS6VS2O12AJHjQPfN/0Ty3MGz290m2FbcvcUXx1bB6XJics5EDEnqfHpfaOtsMBjQ2NjIr+iNjY3tkq1z6qgY7FteAqC1XrK/RLKppBhfnzcVtqZGzFu3KawuusOvzkTxhtaayfuWl/h14NBbCBewCE1dWOWAjIwMqNXqdm8KgTxeQ2+8BSW//oKiH1fh51uuxxXrNkOq6Dj3m02ZsgU6bPpdr9fzeYYymcxNNPdEEAWCSL+WBfO7bq9kGBPNzFYbgJto7koaT18Rj32ln4xQrebRFdzO4I0bN+Lxxx9HSUkJbDYbf0CdTieqqqpw8cUXw+l0oqSkpMsH+sIL3S2An332Wbz99tv4888/eZGsUCj46IYnv/zyCw4dOoS1a9ciKSkJI0aMwDPPPIOHH34YTz/9dLfTJKRSKaxWa8SIRl9SLYC+EUlutDbh68LWAcMdXqLIrM6oMEostHXOyMjoka1zyigd/3fFTv+VnVNlZCJ+2HCUrV+H3++7EzEP/i1sjmX+Ran48YG9sDc7cPDLMpz7wjBI5O1HGELhhmKz2fhBk8FggMlk4gdOzNSFGTAFG47jMO0/7+DTSWOhLziCkl9/QT8vOewd4Tn97nA4eNFcU1ODo0ePguM4XhD1Rs6qL4TC9x8IQlFYebNDNplM/HlSXl6O5uZmPo2HnSvtXUtDsY+BIBhmIsEkEvrrJpLvvvtu5Ofn44YbbkBUVBSfk2yxWHDDDTfgP//5j1+m3RwOB1asWIGmpiZMmDCBf37ZsmX45JNPkJycjAsvvBBPPPEEH03esmULhg0bxpe2AYBZs2Zh0aJFOHjwIEaOHNmttkgkkoBbU/cmwlSLhA5KnUVKfzvi033fwGRtRIYqFTP7T3ErmM4qCgDgp8VTUlI6rfvYFZKGaSGScnDaXN123vMGx3E4++V/Y+Xk8aje9ie4n38Aunn+9zZytRT5F6biwBelaDHYcPznKuRflNbhe3r7PGUrtpkwbmpqgkKh4OtXB8rC1V9Ex8Vj5rsfwGmzIXPqjB5/nlgsdjOxEOas6vV6FBcXw2azuYnm3nZ+i/RrWajD/AI0Gg0yMzMBnP4dsXNk//79/IyEp612XxHJkRBZ7QqR0F83NVBQUICvv/4aOTnubmQ2mw3XXnstZs+e3aOFbfv378eECRP4aN3XX3+NwYNbjS6uueYaZGVlITU1Ffv27cPDDz+MgoICfPXVVwCAqqoqN4EMgP9/VVVVt9skk8lgs9kgFosjIt1iWu4knDLXYWTKsA63i3SR7HK5sK/iIADgovQZ2LF9BxobGxEVFQWtVouEhATk5eUFNAIokYuRNFSLyt0G1B1rRIvRhiitf4SDOiMT455cjD8efgDVn7wP09XXQjMsPMoyDr8mEwe+aHXv3PdpaaciOZAw0w5hpNhqtfKuZTk5OdDpdGG3oDd90uSAfbYwZzU7O9utrJjQ+c1zMWC4LtwJNuEqIKOiopCcnMzPDjscDhiNRuj1etTV1aGwsBAOhwNarRY2mw0GgwFKpTJsyqx2h0gQjV2BRZLDWWtIgNM/QoVCwefnCuE4DuPGjYPZbO7RzWLgwIHYs2cPjEYjVq5ciQULFuD333/H4MGDceutt/LbDRs2DCkpKZg+fToKCwvRr1+/bu+zI1hRfuYiGM4HkjEseRCGJQ/qdLtwP3E98bZ46lL1uRh/5hlIVSYhOzsbWq2211ftp46OQeVuA+ACKnfrkTMl0W+fPej6G1H47deo3LwR2//2EFK//TEsbqbZkxOgTomCqbIFx3+ugrnOAkWc9+Pi7/6wKKgwUswWYgZiNiEUMJ48gYMfvocJTz4TkPPDW1kxFkVkZefYQi+haPZ3Ld5wOPe7Q7iKZE/EYnEbV7empia+isbJkydx5MgRfoDKos3hXIrVk0g5lr4SCYMCCXD64sIqWDgcDthsNjidTjidTrhcLr6mcE+QyWTIy8sDAIwePRrbt2/H66+/jiVLlrTZdty4cQCA48ePo1+/fkhOTsa2bdvctqmurgaAdvOYfYHlJCuVyoiIJPtKuJeAY3mi7OFp65yeng6NRoPy8nI0NDTw+ZW9TdqYWOz8v1anufId/hXJnEiEya/+B5+fPQ41Wzfj6GfLMPDqa/32+YFCJOYw9MoMbHntGJx2Fw6uKMPY29sfCPdkMCdMsTEYDLxpB3OIysrK4qd8IxGb2YyV505Gc+0paDKyMPTGW3plv55RRBYp1Ov1fC1eiUTSZjFgpB4Hoi0cx/HlEI8ePYrRo0dDLpfzormsrAyHDh3iS9CyNA2NRhP0/Pfu0tdEsrDkXbj22y1c4nK5sGfPHvzyyy8oLy+HzWaD3W6Hy+XCqVOn8NFHH/FlYfyB0+mExWLx+tqePXsAgC9SPWHCBDz77LOoqanhBc+aNWug0Wj4lI3uwKpbREJk9a2t72NAXD+ckzO+03rA4dRfVoJIGCU2m818nqinGUN5QyUsnI2/kAazn2ljY/i/K3bU+/3zNdm5SLr2BkSbGpAz58LO3xAiDL86E1teOwYAOLCitEOR3BVYZQZhdRK5XM7bf/fUtMNf9NY5KVUoMOYvD2Pjow9i05OPIGPqtF7Zb5t2SKVISEhAQkICgNZrv3Dq/fjx43xJTmFes69iKFyuZd2hLwgrFrCRyWRuttrsPGEDrKKiIthsNn6Qy86TcKnrHQkL2bpCJJy7biL5iy++wE033cTX9pTJZJBIJJDJZGhubvaaiuErjz76KGbPno3MzEyYTCYsX74c69evx88//4zCwkIsX74c559/PuLi4rBv3z7cf//9OOecc3j765kzZ2Lw4MG47rrr8NJLL6GqqgqPP/447rzzzh79QGQyGV/dIpwjq/pmI55Y+xLsTjt23bEG/eKyO9w+lEWyw+GAyWRyixQ7HA7eI75fv34d2jo///t/8Nm+b/DczEcxO3lKUPsZ20+FKJ0ULQYbynfoA3LRiL9wLgYNGgSZxn8D2ECTMEiDxKEa1BxoQPl2PfRFTYjJUbbZrqPvqr3Bk1KphE6nQ0ZGht9ND8KR4bfegROrv0f5xt+xdtHNSHn8mWA3CSKRqI3FbWNjI+8MWFpayhtYCKPNHaX7hfvNuD0iQWj4grc+Cs8TZobDzJz0er2brbZQNIdKtRlPIiH9oCtEgnmKBDjdkRdffBF33HEHXnrpJb/vqKamBtdffz0qKyuh1WoxfPhw/Pzzzzj33HNRWlqKtWvX4rXXXkNTUxMyMjIwb948PP744/z7xWIxVq1ahUWLFmHChAlQKpVYsGCBW13l7sBykkNZNPrCz8d+g91px6CE/p0KZCC06iQLbZ1ZiS2h/3tXpsRrm+rwxf5vYXPaMDx5cNAvlJyIQ+qoGJxYV4OmGguMJWbostqKwZ4gPJYulwum4iJosnP9uo9AMOSydNQcaHXgO/hlGSY96L2OtbBvjY2NbpFim80GtVoNnU6HvLy8do1d+jKcSITpb/wXn04ag8qtWyD6+gvk/vWxYDfLDY7joFaroVarkZmZyQ+A2GLAo0ePoqmpiTc5iY2NhU6nI5OTCMHXgYAw/z0trXXBrzCVp7KyEkeOHHErUcjql4fCOoO+MuBhREJ/3c6apqYmnHXWWQHZ0dKlS9t9LSMjo43bnjeysrKwevVqfzbLLZIcKqKxO6wqWAMAuGDguT5tH6xBgbCagDdb57S0NN7WuTs/rvd3fQaLw4qRKcMwLn0UKioqgn5cU8e0imSgNS/Z3yIZaP1eW/T1WHf7jajZvQtXbNwGRVL3c/V7gyHz0vHb0/8TySvbimSHwwGXy4WKigo+YgyAzztPS0sL6/zE3kSTmYWzn/sn1t19Oyo+eh/Giy/t0VqOQCM0sGBiyGq1upWd279/P+RyOWJiYuBwOPjzJdxvyp5EYp886UkfvaXyeLPV9lazubfpC8dSiNPphFQqBcdxYdtvt4V78+fPx8aNGzF69GikpKTwhiIulwsOhyNkpzB6gjAnOVzTLZptLfi1cCMA4IL8mT69p7dEstCdjNk7C6sJJCUlQaPR+CX6Z3VY8e6OZQCAO8fdwP8wgy2S08acdpWr2FGPIfPS/fr57DcpU2vQotfDajRg40P3Y+YHy0P696rLUiJ9XCzKttbj1KEGVOytgyzNxUeJGxoa+OlVZtqhVCrDfvouWAyavwAnVn2Hkz+vRsH/vYOB50wJdpO6hGe+qt1u5/Oa2UBq3bp1bUxOwv18Cfb1qzfwp3j0Zqvd0tLCi+aioiLs3bsXUVFRbqLZVyfVntDXRHIk9NctkpyXl4f7778f69evx1lnnQW5XM4L5VOnTuH555/nC4VHCpHguLfuxB8w25qRqU3DGcm+LWIMlHhsaWlxixI3NjZCJpNBq9V22da5q3x1cDWqG08hRZ2Eiwefxz8f7OMqXLxXvsN/piJCXC4XRBIJprz2Fr6aeQ6Kf/oBJ779Cv0umReQ/fkDi8WCzFlalG1tXdD482tbkX9rDF+KbdCgQdixYwfy8vKgVquD3Fr/EaybBsdxmPr6W/hx8ZMY88jjnb8hxJFIJLzJCcdxMJlMyMnJQX19Pb/Ii9XhFeY1h8K0e1cJd6HREez6HKg+chzXxnpdOMCqqanBsWPH+IWjTDQHInUrEnJ0u0Ik9NetTvJ3330HtVoNjuOwceNG3nEvKioKer0eZrM52O31O8Kc5HCNJK868gsAYM7AGT5faPzRX6fT6ZY6YTAYYLFY+DqXvblwyuVy4c2t7wMAbh4zn6/uEQqRZEWcHDE5SuiLmlC11wCHzQmx1H8XDuExjx08BCPvexA7//k8Nj32IFInTUb0/6xjg4lwwQ07V1paWiAbpgAnBlwOoHG7COPfG+/Wn1A4fpGEMikZqfNvgFgWHtUAuoIwgsgWebE6vHq9HocOHUJzc3ObxYChXhkh0hd7BVoke0M4wGJtYAtHDQYDPzPB1juwiHNPc+AjIbLaFSLGTIT9AD/77LOgNiYYyGQy2O32sI4kF9QWAgAuyPctHxnonvhgo29hbWLgdI5oMI0YivQlOFZ7AlESORaOupJ/PlR+oKljYqAvaoK9xYmaA0akjIzp/E0+4tnHEff8BUWrvkP94YPY/Le/YvqS9/22L19h5i6sPjGrUKLRaKDVajFw4EB+MU3J5E04sa4GxpJmlG+rR/q403bqfemG0ts47XbsX7oEg69bCKlCEezm+B1hHd6MjAwA4Kfd9Xo9CgsLYTKZoFAo3ERzKJQI7EsEQyR74rlwFGjfVtuzZnNXBjB9TSRHwgCvjZph5bcqKyv5C0hiYiISEhIi8uCydItQEVPd4dcbV+JQzVEMTPC91mxn/WV5XJ6pE8zWOTExEf379/e7a1Z3yY3NwqF7N2BnxT7EKU7nAIfKcU0bE4uDK8oAAOXb9X4VyZ6IZTJMfv0tfDN7Ggq/+RL9Lp6H7PMvCNj+gNOWs8J8Yo7jfDLtGHJ5Or+w8eDKMjeRTASOn264Bid++A7GohM454VXgt2cHuHrbzwqKgopKSl8/X2bzcaL5rKyMhw8eBBSqdRNNGs0mqBe4yJdWIWCSPZGe7baBoOhja22UDh3VKYw0o+lJ5FQF7qNSF6xYgX+8Y9/oKCgACKRCBKJBBMmTMDixYsxceLEYLQxoMhksrBPt+A4DkOSvJfP6ug9whsLWxEsFMWsvJZWqw2arXNXiFXE4Ny8yW7PhcoPNG2MMC+5HmNu9V+JNm8DgYQzRuKMO+5F0ervEP2/Vd/+hJXtY1Fik8nER1kSEhK6NIDKvzAVq+/bA4fFiUNflePc54dBJDktpkNhkBOJDLnhZpz44TvsW/ImcudciPSzpwS7Sb2OVCpFYmIib1DFhJBer0dtba2byUlsbCyfq9qbFVUiXViFqkj2pD1bbRZtLigocCtTyPKbhdfBSBCNXSFiIsnsR/jJJ5/gr3/9K+bNm4dly5ZBq9WiuroaTz75JG655RYsW7YMI0aMiKgfbTgv3HO5XLA77ZCKu764wOl0wmw2o7CwkK9NLMzpy8jIgFqtDovyWmXGSqRrU7y+FiqR5KThWohlIjiszoAs3vPWx1EPPoJRf3kYkujoHn82m3pkwpiZdjALcFa2rzvINVL0n5WMI99VoOmUBSc31CJ3WqtoiZTrTCiSNWMmhtxwMw5+8H9Yd88iXP3HDkiV/i9P2Fv441zxJoRYOTG9Xs+XExMuBuwsekh0TLiIZE+E6Tzp6a0Vi5jjp16vR3l5OQ4dOgSxWMyfJzabLcit7l3YoCDsS8A5nU6IxWKsWLECF110Ed544w0ArSdvdnY2vv32W4wePRo7d+7EiBEj4HA4wnKFsDfCuQTcoZqjmP3h1bgg/1y8eeEL7Z6EbNGUMEpsNpshkUggkUiQkpKC/Pz8sMzF0zcbMe6d2RialI/lV7zllmoBhI5IlsjFSB6uRfkOPeqPN6JZb0V0jH9urO0dM4nHgkmnzQaRD6u1hRESJoxZnVGdTtep42F3GHJ5Oo58VwEAOLiylBfJRGA56+/PoXjNT2g4WYQ/n30aZz/3z2A3qVsE6jfOcRw0Gg00Gg2ysrLamJwcOXIEZrMZKpXKLUWjuwNGb0RSUMob4SqSvSGTydxmJpxOJxoaGvgFgS0tLdi7dy+Kiorcys+F8gxtT4iYSDI7Odk0AUN40rJoEYCIEchA60nN8idDQUx1hZ+O/QajxYRac73bserM1jkvLw91dXXgOA4DBgwIYg96zge7PkOjtQkNLSbERnvP8w2V45o6JpaPIlfs1KPfjCS/fXZHfXQ6HDjw37dw+KP3MPfn9W3sq9mFnAlio9EIl8vF17JOTU0N+BRz/1nJkKklsJrsKFhVifNfc0IsE3XaN6JnyDQaTH3tLXx/+UXY+84byLv4UqSMmxDsZnWL3hBZ3kxOLBYLL5pPnjyJffv28TV4mTtgT9Zu9BWRHImIRCI+7QIANmzYgNzcXHAcB4PBgOPHj7vZagtrNkfCMY+YEnDsYFx99dVYsmQJvv32W8yePRtGoxFRUVF4+eWXoVKpkJSUhKqqKhgMBqSmpkKj0QS18f6ARZLDMd3ip2PrAAAzcs5BTU0NL3BMJhOkUmmHi6aMRiPsdnuwmu4XrA4r3tn2EQDg7gk3eb2ohNLgJ21MDLb/7+/yHf4TyZ1dTJ0WCw598H+t0cLFT2LiC6/waRMs1UYsFvMX6EDWsm4PSZQY/c9LxsEVZWgx2FC0vgZ5M0PXES6SyJoxE/nXXIcjyz/G7w/eiys3bI2IG3RvIZfL3RZ42e12fsq9qqoKR44c4afchYsBw108+ItIiiT7QnR0NOLi4trYahsMBlRVVaGgoCBkbbW7Cju2oXIP7g5u33pzczP279+PK6+8EgMHDkRaWhoKCgpQVFSEM888E//6179gNptRXV2NxYsX46KLLgpWu/0Gs6UOl3QLNhVeVFWM7WV7AAC6egWKUASdToe0tDS+NnFHF51w6W9HrDywClWNNUhRJ+Gyod6rN4SSSE4VLt7bXu/Xz+6ojw6xGMOefAabbrwWRz5+Hw0Z2YgdO4437QiVVJvBc9P4CiCHvylH3szkkDp+/iTU+jTp2ZdgbWjAhCcWB/086A6h9H1KJBLEx8cj/n/1yYVT7nq9HidOnIDD4XBzBtTpdO2KoL4SSY7kPjK8RVbbs9VmA63S0lJYLBavNZtDnYiJJDMsFgtGjBjBj4g5jkNeXh5kMhn/Q1UoFDCZTLw1aLjDqluIRKKQFI12u523c2a1iV0uFzYbd8EFF4bED8DcGRd12Rko3MWHy+XCf7YsBQDcNvY63jzEk1DqZ0yOEoo4Gcx1VlTs1Pvt5ifsI8uZFOYTNzc3Q5WQjNS5l6Pi6xUwfvR/mHnTzZCpQsvFLnd6EmQqCayN/0u5eD30fo+RgLfzLkoXg/M//jxILfIPoSqyhFPuzOSEGVewBV5MBHkzOYl0kQyE7rHzN74cS+EC+qysLADgr+nMSdJkMkEul7uJ5vZKbAaTSDh33dItrrvuOlx33XVBbVBvI5FI+BJwoSCmOrJ1jouLQ79+/aBUKrH0q5UAgDmDzu2WdWao9Le7/Fq4EYdOHYVKpsTC0Ve3u10o/UA5jkPq6Bgc/6UazfVW6E80Ibafqkef6XQ64XA4UF9fj7q6Or50H8snHjBgADQaTauz5JDBWLljG0ylxdi6+Emc/dKrfuqZf5BG/y/lYmVrysXJ9aeA8C22ENbU7NmFuMFDIQ6Tqg3hdC3zZlwhXAwozFONjY1Fc3MzoqOjI0JweCNS++WN7vaV2Wqz+t5CW+1Tp07xttqs6goblPnbVrurRFwkGWg9iHq9Hrt370ZdXR2SkpKQkZGBzMxMSCQSOBwOcBwX9h1nMMe9YKQfMFcyoSi2Wq1QqVTQarXIzMyEVqttY+tsdVixrnAjAOC8/lO7te9wF8lfHPgOAHD9yMuhi2o/Nz7U+pk2NhbHf6kG0JqX3FWR7HA4+EV2zLSDCWX2W22vdJ9UqcLk197EqnkX4PCHS5F7wcVIO2eKP7rlNwZfmoaDK1tTLg59U474a/vGzTOU2PHyC9j6/GKM+eujGPfIE8FuTp+AiaDU1FQA7qXEWGWiiooKt0izWq2OCHH5/+xdd3hUVfp+p2ZapqX3DoReBaQKCmLBAu7quoi9LOJasfeuu3bF3651V9FdFVZRVynSpCpCeggJ6T1Tkkwyfeb3R/Zc7kwmyfS5c8P7PHkImZl775lz7znv+c73ve8Zkuw7vLXVJqorJOIcqK22ryDtjXoJOOB0Y/bu3Yvbb78dFRUVFGmcPn06HnjgAaxevToqdHN9AclJDkfhntVqHZQ6QSSGFAoFVQw5UoK+yWbG+rk34HDTMUxLneTXtTCNPPqKd1a+gPMLlmBW+tRh38e0dtLzklt+1WLS7zOGfb/Vah1UZCcQCCjTjvz8fNTU1CAhIYEqBBn2/PMXYvx1N6Lyk4/RfaqacSTZJeViawvUV6oZ1X+RBN0WPiYmBmq1OiRbrIq8fDgdDhz964vIX3k54sZPCOrxQ4VonYQ9gS4l1t/fT22/6/V6dHR0oKqqyqW4KxImJ8HCaCLJoTIT8bQ7QVRX9Ho9GhoaUFpaSrlJkvsm1AWkrIokczgcnDhxAg899BDGjh2LPXv2YMOGDZBIJFi8eDGefPJJyGQynH/++axoOIFAIAiJ4x7JDaVHifv6+iAWiwO2dZbHxOL+hesDur5oVPOgg8/l4/IJF3j1Xia1M20G3XlvsKmIu2lHX18fJBIJFArFkEWZvvbl7EefwvhrboCageTHPeVCd9wCMO8yA4K3z7unBRLJQ+zv78epU6fgcDhcpMYUCkXAY3P+patQ9eW/UPv9Vuy6cx1W/fATOCwZ76MRTqcTPB6Pihzm5eVRxV0kRaO+vh5Wq5XaZler1YzYbvcGo4kkh1M32F11hexCuheQ+mKr7SvY0Lcujnu7du0Cn8/HW2+9BbVaDS6Xi/7+flx++eXYunUrvv76a5x//vmMIh2BgpDkQEnjSLbOubm5kMvljBENZ1qE1Vv0mHsh4scMWajnDqa1U6QUIq5ABs1JA9qK9dB3daPPbKCIEEm3USqVyM3NDbppBzCQdsFEgkxQeNnplIuOvSbg6ghfUJhAl4LS6XRUXipxNaQvkAQCAbXFqtVqodVqUV9fD5vNRpEkQpp9jS5yOBwseulVNO3bjbZfDqH0g79j0o23hKbRQQKTnvFgwxPRoBd3ZWdnU4ZRhABVVFSgv79/UDGge+oeE8AGIuUtItlWugwhuRa6aRTdVptOmgPR+GZDQNVlX7+7uxs8Ho9aeYhEIuj1eur3np4eAOwakIi6ha+RZIvF4kKIidZsqG2dG7tbcLS5CEvy5kMe4786AdPIo7d4ce9b2Fz2HZ5b9jAuG79ixPczqZ1kIaUoFEJzEnBYndj75S/ImB0HhUKBlJQUr9Jt3BFIGzuLjuHoS89hyf99wBi1i7xzT6dcdB4wwWaxR/qSQgKLxUJth5JdAzJBZWVlQalUDruopm+xEje4vr4+ijQ3NjbCYrFQpJlMet5AlpaOuY8+jb0b7sSBpx5BzooLIUtLD1LLQ4PRQrQ8gcPhQCqVQiqVUhbJZFdKq9WitrYWRUVFEIvFLqQ5EAIULIwWkux0OhnVVl9std01m73lNaFKLwknXGZjtVoNh8OB/v5+SCQSCIVCGI1GNDc3o6amBsuXLweAqF8Z0EEnyUMRjaFsnUmUJ5xas1+VfYvHd76MZfmL8MVV7/l9HCaRR2+hN/Xgo9/+BYOlDzKhxKvPRPIBpeeQkiI7Ho8HacHp5yfRnoVp0woCPpc/femw2/HTrdej+1QNo9QuBGIe8pcno/yrJlh7nWg+oEfi5QmRvqyAQUiLTqeD2WxGQ0MDtWuQk5MT8FYnfdLLzMx0iS5qtVpKaozD4aC5uRkcDgcqlWrIRdnE62/CiS8+Q/svh7H3/rtxwSf/9vvaQo1oG8t8gb/ESiQSuWy3k50KnU6HlpYWVFRUgM/nU+QnVDnuI4FJxDEcYHJbh7LVJvdNfX09LBYLpZ7kLldIB1kURDtfdJGAy8vLg0wmw9GjR7FgwQIoFArs2rULv//976FSqXDDDTcAYBdJpqdbkEgyyd2hk2KHw0EV2OXn50OhUEQk3+vHk7sAAMvyFwd0nGg0E/n4fwR5XHw+zs1b6NVnwrkYIKtwklNsMBgQExMDhUKBpKQkjB07FhKJBG2x3Sj560A/th7VB3xefwddLo+HBS+/zki1i/GXpaL8q4GUi5rvuzDt8sAXEuGE0+mkSDGdGBO7WaVSicLCwpCOIZ6ii0ajEYcPH4bNZqO25OVyOZWeQSfqXB4PS157B1tWLkfmuctGHZlhCoL1vXsyrSAyYlqtFjU1NXA6nYOKAUPt9DZa7isy30YTf6JrfJO0Hrpmc01NDXp7e6kdCrqtNpl3o6m9nuBy98+aNQu33nor1agpU6Zg9uzZuOyyy/DHP/6RkflMgUIgEKCvrw9btmzBoUOHMGfOHGryIpqDkbDp9QSdsRuHGn8DACz3U/qNINoiyQMW1B8DGNqC2hNC1U56YSYhxf39/dR2eUZGBpVD6o7ECXLwRVzYTA6PxXv+Xo8/IGoX5R++hz13347Vuw8yIu0i77xkCKQ8WPvsqN3WBbvVAZ6AuYMtuR/o6RP0iMvYsWMpwlFVVQUulxuRRbZYLIZAIEBWVhYSExNhMpmg1Wqh0+monESSx6pWq6HKy8e1JSfBjwJ3r9FAtIIJLpc7KEeVbnLS1NQEs9kMuVzukqIR7BqJ0UKS2eAsSAzlJBIJJVdICox1Oh3a29spW22FQgEA0Ol0iIuLi1r+6EKSY2NjcdFFp+19V65cyQrraTrsdjvKysqwf/9+7N+/Hzt37kRbWxv+9re/Ydy4ccjLy8OcOXNGtHWOBHad2g+H04Fx8fnIVI4s9zUcoo0kby77Hi297UiSJeCKiRf79NlgtJNMIHTlCWLa4evuAk/ARfJUJZoOaaGv60NflxnSeP8LOgPty9mPPoXGHdsZZTIiEPNQsDwZ5ZubYdbbULe3E3lLmePy6V70otfrYbPZKFKckpISFZJcIpEIqamp1IRHZKO0Wi1laiGVSk8XAspkkMRGfhHlDjYTrXC1zV1GjL7w0+l0qKqqovLm6aQ5UO3daJqHAgEbSLInCASCQTbsBoMBGo0GGo0GJ06cQFZWFsaOHRvhK/UPI+6jkMRrNnTsxx9/jDvuuAMOhwNz5szBvHnzMHnyZLz++uvYtm0b6urqcNZZZ0X6MofEjpo9AIBz8xcFfKxoIsmuFtTXIIbvPaEk0X9fJxp6yg0hxgAouZy0tDTI5XK/SVDaTDWaDmkBAC2/aFGwIsWv4wCBD7pMNRkZf3kayjc3AwAq/tMcUZJMXySRH7p8UqD3Qzgx3HPvLhtFigu1Wi2O//sz1L/9GrLufgAZ8xdS0WYxQ6LMbJijPCFSCwB61JBosJP7QafTUdq7RJaQFIeSlCJvwYa8VW/AVpLsDi6XC7lcDpFIhBMnTmD+/PlR3eYRSXIwb96NGzdi48aNqKurAwBMmDABjz32GFasGFApMJlMuOeee/D555/DbDZj+fLleOedd5CUdHpybGhowG233YZdu3ZBJpNh7dq1eP75573Km1q8eDF2796NSZMmUe/fv38/XnnlFcbrBjudTuz4n8veuXkLAj5eNJHk31qKUdpRCalAgutmXOnXMUaaaOiatMTohaTc0O3Ag/U8pNFMRZp/1QVEkoHAozH0tIuqf29iBEnOOzcJXBEHDpMTVd+1wvGaE1xeeAZbEg2hk2KSr0ncMCNR5BRuCIVCJCUlISkpCS3vvAZbZwc639uI7HkLXEgSiTSrVKqwFDCfQWRAvx8AV3tk+lY7PdI8knZ3tMxDgYLkJI+WZyMac7A9IbQZ+W5IT0/HCy+8gIKCAjidTnz88ce45JJLcOzYMUyYMAF33XUXvvvuO3zxxRdQKBS4/fbbcfnll2P//v0ABqJ7F154IZKTk3HgwAG0trbimmuugUAgwHPPPTfi+bOyspCVleXyN7qZCJMf1srOarQbOiERiHF25syAj8f0RQEdM9KmYM+N/0Fl50moxUqfPksGJPe2ms3mQUV2YrGY2iovLCwMqYVn2iw19XugecnBusbZjz6F+ElTMfaqPwbleIFCIOEjfmYMOn42ob/LgqbDGmSeHR+Sc9HNGcg9QQrsSNFKMOsSouXZo2PeU8+j7sf/oqfmJHr/+w3mbngYNpuNkhlrbm5GWVkZhEIhRZjVanVYZMai8fv0FkxOJXG3RybPkVarhV6vR21tLbXjQifO7kEtprYvmBgtkWQCtjyTLncqkQySSqUhOdnFF7vmkj777LPYuHEjDh06hPT0dLz//vvYtGkTlixZAgD48MMPUVhYSBXUbdu2DeXl5dixYweSkpIwdepUPP3007j//vvxxBNP+FVQ4K9OcrhRmFiAott/womuap/SDYYC0xcF7piaMgFTU3w3wCADUl9fH2X2otfrYTKZKKOX7OxsKBSKsBq9yNPFkCXFwNBuRstvOjgdTnC4kc3rE0hlGHf1NQEfJ5hImi9Gx88mAMCJrS1BI8kknYa+UCJ6oGTnwNdt42iCX5JiKjUWvvBX/HjDGhx95SWMWX0llLl5LvmIdrudqnxva2tDZWUlJTNGos2h+l7Z2lfRNE7TTU6A07n7JEWjvLwcRqPRpRjQZrOxtu/oIIud0dBWgB0ayYAbSS4vL8dFF12EBx98EMuWLUNCQkLICLPdbscXX3yBvr4+zJ07F0ePHoXVasW5555LvWfcuHHIzMzEwYMHMWfOHBw8eBCTJk1ySb9Yvnw5brvtNpSVlWHatGk+X0ewHPfCgWxVBrJVGUE5VrSQ5D5LP6ReaiIT0LfKdbqBKO1vv/3mUWkgUuBwOEidqUbVd60wd1uhqTYgfox/BVGhGIisfQYcf+MVTFl/V0TVLhLmiMHh6+G0OVH5bSvOfW6SX+212+0uFs89PT3g8/lQKpVITEzEmDFjzqQJeIH8y1aj/JOP0LhrJ/bc92es/HKry3dGt08GTsuMabVadHR0UMoelHqGSgW5XH7mex8B0fr90LW7MzIG5i6TyUSRZiIhxuVyUVJSQhFnNj6LTN4RCAXYkmvuwhKSk5OxePFiPPnkk7j33nuxbNkyXHHFFZg9ezbi4uIQG4Sq5pKSEsydOxcmkwkymQxbtmzB+PHjcfz4cQiFwkGOUElJSWhrawMAtLW1uRBk8jp5zR/Q0y2YHEkONqKhvc09rZi9cQUun3AR/rricQh4npUj6ASI6FqTiIZcLodGo8HcuXMZYwlOkDZTharvWgEAzb9oAyLJwV7wbFv7BzTv2w2TThdRtQtBLBepsxVo3q9Hd30/2ku6kTxZOeLn6LmSer0evb29EAqFUKlUSE5Oxrhx40KaTsNWcDgcLHr5dXw2bwYaf9qB6v98hYLLVg/5frrMWF5eHmVOoNPpoNFoUF1dDQDUe9RqNeRyuc+TazQs+P0F28iVSCRCSkoKUlIG6jCamppQW1sLoVBIpewIBAKX9Aw25P+zJbLqLeiW1NHcbheSHBcXhw8//BDAQJHdunXrUFFRAZvNhosuugiLFi3C+PHjkZWV5bfG59ixY3H8+HF0d3fjyy+/xNq1a7Fnz57AW+InhEIh7PYB21umDrQ/ntyFD45+ht9NugSrJlwYlGNGQyR545GP0WvpQ7XmlAtBJpbgJCpoMBioBVZCQgIKCgqoPEi73Y7a2lpGPqSpM13zkqdcnTXMu8OLaXfei+Z9uyOudsHhcJCzTI3m/XoAQOU3LR5JMnETo98TIpGIUp5QKpVnVBiCBGVePqbfeS9+efFZtOzfNyxJdgfdnCAnJwdOp5PKYSX2yQ6HY5CVtjcEKdq/19EKLpcLoVBISYSRoIdOp0NXVxeqq6upollieKNUKqNCSYYOtkRWvYX74i5an88h95uTk5ORmpqKsrIybN++HV9++SUefvhhZGZmYuHChbj//vv9WuEKhULk5+cDAGbMmIFffvkFr7/+On7/+99TjmX0aHJ7ezslR5ScnIwjR464HK+9vZ16zR+QPGar1cpY0vjdiZ344eQuZKsyRg1J1pt68NHRzwEAt828Fq2trRQxJnnzCoUCGRkZUCgUQxKgoQr3mIDUaUqAA8AJtPyq9fs4oehLJpmMZC5VA4+fAgCc+LYVix8Z7+JuSEixRCKhjFyGsko9g+Bgxp33IeWsOchccl5Ax+FwOJDL5ZDL5ZSjl8FgoAxO6uvrYbPZKCcvQpKijSAFArZFkt3h3j4ej0flr5PXSVEtkZ6zWCwuxYCBWrqHA2zvR3fQI8nRjCFJMp/Ph8k0UDBz3nnn4bzzzkNFRQXuvPNOvP32236TZHc4HA6YzWbMmDEDAoEAO3fuxKpVqwAAJ06cQENDA+bOnQsAmDt3Lp599ll0dHRQ3uLbt2+HXC7H+PHj/To/ebDsdjsj0w+cTid21uwFAK+tmL0BU0kyKfR4be//odfShyxpOqTtfDQbm6FUKpGXlweFQuH1gMhkkhwjFyBhXCw6K3rRUdYDm8kOvsi/yT8U7WOKyYg0SYiUmUq0/qpHZ3kPdm3eD6fSTJkaZGdnR8UkySbwRaKACbIn0A0tsrKyXAq/tFotmpqaKIJEIs0qlYqRz3ewwHZyNVL76Aspck/QTU6IU6RMJhtkcsIksL0f3cGW9g5JkmUyGaxWK4xGI3766Sd89913OHjwIFQqFV59dWCy9HWV8OCDD2LFihXIzMxEb28vNm3ahN27d+PHH3+EQqHADTfcgLvvvpvKS1u/fj3mzp2LOXPmAACWLVuG8ePHY82aNXjppZfQ1taGRx55BOvWrfM7akTSRmw2G5xOJ+M69kRXNZp6WiHix2B+1uygHZcpJJnkKNLziS12Cz4u/TcA4I65N2DRWYv8jhwxmSQDQMp0FToreuGwOdFW3I30s9Qjf8gNobpfBVIZFr76Fr5bfXHY0y5IcY/RaMTJkychHG8Cfh14zVYhweINZ0XE1vkMBqO/ox0lH/wNZ214GJwgR47cC78IQSLpGeXl5TCZTODz+dTukkqlOnNvRBF8nXM9mZwQp0idToe6ujqUlJQgJibGhTRHWq2Gadwi1GBlTjJwWgaus7MTvb29uOiii1BSUoLVq1fjww8/xNSpU/0+WUdHB6655hq0trZCoVBg8uTJ+PHHH3HeeQMRiVdffRVcLherVq1yMRMh4PF4+Pbbb3Hbbbdh7ty5kEqlWLt2LZ566im/r4lEn2w2G9V+JnXo9uqBKPK8rLMgFgTP+zxSah6koIpsk/f29lLSWyqVCjk5Odh88r/QmvVIkyfjmrN+F/DWKpP60x2p01Qo/rQBANB6TOcXSQZCtwhIW7AI46+9AeUfvY9DTz2Ky7fvDfr3SYgPPX3CbDYjNjYWHA4HSUlJGLN+Iv72j10AgOZdPRA8fIYEMQF2qxVfLJ2P3qZGSJOSMfG6m0J6PjpBSk9PBwAYjUYUFRXB4XCgsrIS/f39lMQYiTZH8y4D0+akYCMY7XN3iiT63XQpQh6P50Ka/SkQDQRsST/wFmy5b11Ist1ux8aNG/HNN9/g8OHDWLhwIa6++mpcd911VGPtdjs4HI5fnf3+++8P+7pIJMLbb7+Nt99+e8j3ZGVl4fvvv/f53EOBnm4BMC/iuON/qRbnBTHVAjgdSQ71jUxMOwgxphdUpaSkYNy4cYPkft47+ikAYN3s6yHkBT65MSVq7gkp05XU7y2/+WcqEur2zX7saTgdTsy494Gg3CtkIU4nxRaLxaNE39GjRxEbG4vEZCUSCgdSU5qOaNHbakRsCrO2U0cjeAIBpt5+J/Y9cA8OPvkoci+6BJKExLBeg1gshkQigVQqRV5eHrULodVqcfLkSRgMBshkMheDk2jKV2fq2BUshGIO4vP5LvrddFUVnU6HU6dOwW63U8EZktccSllQtpBGb8GWRYHLHWGxWLBhwwbceOONeOWVVzBx4sRBH2BbwQSHwwGfz4fVagXArAHJYOnDgYZfAAQ3HxkITXTVPSLY3d0No9EImUwGpVKJrKwsKJXKESeoLVd/iPd/3YRrpl0RlOtiMklOmqQAV8CBw+pE6296v44R6vYJpDIsePk1vz9P8kpJZEev18Nut1PRvtTUVMjlco9jC/0+HXtRKjorTgAAqr5rxYwbc/2+pjMIHibdcAsqN/0TncXHsf+xB3HexuGDIaGGu8SYxWKhCgFPnTqFoqIiKp+dFIiJRMHbpQsF2EyuwkEePamq9PX1UfdFc3MztXtFjzYHczE12kgyW9rrQpLFYjE0Gg3EYjGcTicsFgv1msPhoCZiUuAWKqORcEMgEFDpFkwq3uvs0+Cs9Glo6+1EflxOUI9Nz9X190Ymph309Am73Y7Y2FgolUqMGTPGL9OOBGkcHli03q9rGgpMJcn8GB6SJirQekyPrqpemHutiIlldipBw44fkTzn7CHVLohCASHEer0eTqcTCoWCUp/wZauT9N3Yi1Px88sDJLly6xmS7C+C/Sxw+Xws+usb+PK8hTjx+aeYeO2NSJk9N6jnGAnDtUkoFLpsxVutVirSXF9fj5KSEohEIpdIM5M0tNlCNoZCJMZmeq57ZmYmALgUA1ZXV1OKOfQC0UDuC7b3oztYm5P8t7/9jVKcsFgssNlssNls4PP56Ovrg8VigcVigcPhwN///vdIXHNQweFwXEgyk8hUjioT313zKWyO4Nt2kuP5siXibuXb09MDDodD2ZBmZGQgNjbW790Go9UU1LxrAiZHkoGB4r3WY3rACbQVdSNrvm/Wy+Fs3+GnH0fRW6+icO0NlNqFw+FAb2+vS/oEACpyk52dDZlMFvDWW/IUBRSZEnQ39KN+XydMegtEyujNNWUTkmeehcI/rkXFJx9j74a7cMVP+8Fl6K6jQCBAYmIipZBks9lc1DPKysqooi8SaY6kAxyTx65ggCnkUSwWQywWIzU1FQAomUmdTofGxkaUlpZShkR0kxNvr300momwob2DSPLzzz+Pjo4OiMViyOVy8Pl8qpq4sLAQcrkcQqEwopa+wQZTI8kEfG7wv2tvVB+IQQOJFPf29kIgEFCmHfn5+UGtGL72qzvQZ+nH88sexqTkwqAcE4gCkjxNSf3e8pvOZ5IMhG8izThnKYreehUVH78PyazZ4OaPpRZLROw/Nzc3aPeFuxj9mAtS8Mu7NXDYnKjZ2YEJq9IDPscZBAdzH3saNd/8B53Fx1HxyUeYsPaGsJ7f3/uNz+cjISEBCQkJAAaCAXq9HlqtFi0tLaioqKAc4EhUMdxKCWwgG0OBKSTZHUKh0GUxRTc5IRbrZNwjpFmhUAwZJGJqO0MFtpinDGJf7733Ht544w289dZbGDNmDIABw47169fj0ksvxR/+8IewX2SoIRQKYbVaI6b44AkGSx8sNgvUElVIju+JJJtMJpd84r6+PkgkEigUCsq1TCQSheRBr+g4iR9O7gIHnKBHk5k+MKVOP93HrX4U74W6fWQHQafTQS+RQbHsAnRv+x6lTz+GRV9sdXE4DAXo9+iYC5Lxy7s1AICq71ujliQzZZwJJiQJiZj72NPQ15xE/qXeu/AFA8H8Pnk8HuLi4hAXFwfgNDnSarVob2/HiRMnwOVyXdIzfIko+orRQK6ioX10kxNisU43Oamvr4fVaqVkCInxDZEjZAtp9BasjST/6U9/wldffYUxY8bAbrfD6XQiKSmJKuS7+OKLIZPJYLfbWRNN5vP5sFgs4HA4jIkkb63Yhtu+uR9XTb4UGy95KWTnaWlpoYqqLBYLVWSXm5vrk2lHoHjz0HsAgIvGnReS/Gsmk5KEcbHgi3mwGe1+K1wEs33uMn09PT2U7XdSUhJy//oGvr+gFIbGBjS+/y6yw2gyknl2PGLkfJh7bKjZ3g671QGeYPRMPMFCqCavSTfcHJLjeoNQtcndAc7hcLjYJp88eRIcDsclPSM2NnZUEaJAEK2LAC6XS6UaErfI/v5+ijRXVFSgv7+fKgYkalKjBWxZFAxiuT09PZTVM33boLq6GjbbQG4sUYRgAzgcDoRCIZV3zZSbeFftfjjhREqsf3bb7qDnjRICBAAajQYqlQopKSlUek240dzTin+XbAUA3Hl28HVWmU6SuXwukqco0HRIC31dP/o1ZkjivK+qDrR9Vqt1kHZ1TEwMJdM3fvz4QTsIi159OyImIzwhF3nnJqF8czNMeisaD2mQvSAhLOc+A9/gdDph1usgUvmn/c1UcLlcans9NzeXGlvpChoOh4N6j1qthkKh8JswRCuJ9BZsaR+Hw4FUKoVUKqU0vMnuLEnRMJlM2LNnj0tecyh34SIJEklm8tzrDQYxossuuwz33nsvAGDKlCmw2WyoqqrCXXfdhcsuu4yVTkYCgQAWiwVCoZARHep0OrG79gAAYHHu2X4dg0QDCfnp6ekBj8ejFAays7Px66+/Yvz48RG373zn8MewOqyYlzkLM9OmhuQcTOjX4ZA6XYWmQ1oAQOsxPfLOTfL6s74OsCTXnAzeBoMBYrEYSqUS6enpVFrNcKCbjOy5+3b87udfwQ+BjJanQbZgRQrKNzcDAE5+33qGJDMQ3bU12Hn7LXBYbVj1w09Bd+JzRySfb3pEkciLkW14oqBhs9monH1Cmr0tcGYLiRwKbG6fSCSilFWkUina29uRnZ0NnU5H5bvTTU7YtAtBjyRHc/8OIslvv/02brrpJqxevRoCgQA8Hg8WiwXLly/Hq6++GlUi7N5CIBDAarUyJt2isrMa7YZOiPkizE6f5tVnSCUuiRQbDAYqGpiUlISxY8cOqtBmQg623tSDj377HADw5xBEkQHmR5IBIGXa6bzklt90PpFkYHiSQK/S1uv16Ovrg1Qq9Um72hNmP/Y0NOVlmLr+rpAQ5KGQf14SODwOnHYnqr5vw7nPTYqqQTga7sdAwYsRobPoGKx9faj816covGpNyM/JlHuAw+FALpdDLpcjKyvLRZNXq9WisbERFouFIs3hMLJgMthMkulwOp3g8XguRaL01B2tVouamho4nc5BxYDReG+w0kwEACQSCT799FO89tprqKqqgsPhwJgxY5CU5NukHU0gJJkJpBEAdtX+DAA4O2sWYviDyQsx7aBvkRuNRor4ZGRkeBUNZMJkvanoKxgsfShMKMB5+YtCcg4mtHMkpNKc93wt3nOfYOgFmHq9Hv39/VSueU5ODpRKZVByzQVSGVZ+82NIJzhPxxarhciYG4eGn7ugq+2DpqoX8WPlIbuGM/AdstQ0zLrvIRx44mEcePxh5F6wEjEKRaQvKyJw1+QluavuRhZyuZyKNKtUKooYsZ1Esr19BJ7aSU/dIe8hGvM6nQ5NTU3UvUFP0YgGm3W29KvH5YnT6URMTAzy8/MpXWQSfWIjiLoFUyLJVKpFzkCqBXlw6PnEVqsVcrkcCoUCBQUFUCgUPqfCMKG9N838I9RiFZQiObic0Kw6o4Ekq/NkiFEIYO62osUH5z2n0wmr1Qqj0YiKigrodDqYTCbK0CU/P9+ve8Nb0AfBvrZWCGSyIU1G/IWnvhtzQTIafu4CAFT9t+0MSWYgpty2HuWffAR99UkcefEZLHju5ZCdi+nPNx303NWMjAwAoAq+tFotVfBFSLPD4aAkStkItpCpkeBNOzkcDmJjYxEbG0stqIiLrVarRVVVFcXF6KSZSeY3BKyNJAPAd999h5dffhnFxcVwOByIj4/HJZdcgrvvvptKSGcTSE4yE8iU1W7Fz3VHAABjYrJx/PhxdHd3AwCVT5yWljakja8vYEJ7BTwBrpx8aUjPwbTBwxM4XA5SpilRt7sThjYTelqMkKcOzhWnD5okfcJsNoPP50OtVmPs2LER2Z6r/X4r9ty5DnmXrqJMRkKJMeenYMdDpQAGpODOvnNMyM8ZadBTqmJiYiiJqUDHgVCBJxRi4Yuv4JtVF6P4b+9g/B+vRdz4CSE7XzQ850NBIpFAIpEgLS0NwMBuEIk0OxwOHD58mFJJINHmaIgmegO2qCCMBH8k0TgcDnVv0E1OSKS5oaEBpaWlVGplpHS8PYEsCshPtGLQTLplyxZcf/31uPjii7FhwwbIZDKcOHECTzzxBFpbW7Fx40YolcoIXGroEOl0C7q6QKe2E9dlrUZVXy1SBYlQKVXIy8sLyU0fSZLscDrgcDpCYpTiDiYsBrxB6v9IMgC0HtNBniqm8hnp6RM2mw1yuZxSnyC7DHl5eRG79hi5ApZufdDVLoa659X5MsSNkUFTZUDzES36usyQxrOrXoIUWJIJkR5BMhqNKC4udsltjYuL86ogLJzPQuaS85B70SU49e3X2Hv/Xbg0xOk5bIFIJEJqaipSU1PR3NyMWbNmwWw2Q6vVUpbJUqnUJT1jpPQ6pmI0RZKDsRgQCoVISkqiUmBJkb5Op6N0vIkkIT2vOdwLEYfDwQqhB4qhkND4a6+9httuuw3PPfcc9aZFixZhwYIFOPfcc3Hq1ClMnz6dVTd2uAv3SM4oIcZ9fX2UukB2RjYennhPWLZPIkkevz+xEw9uexb3LViHa6ZdEdJzRQtJTqGZilTuaoAlUwO9Xg+73T7sLkJ/f38kLtcFqfMXYvx1N6L8w/ew5+7bsXr3waCnXbhjzAUpOFh1Ek4HUP1jG6ZcnRXS84UanlRHSJ0BPZecw+FAIBC45LZqNBo0NTXBarUOIs2RjtLNf/ZF1O/4EcauLpg0XRDHB1+NJBqeb3/hdDopO+Tk5AFJUBJN1Gq1qK2tRVFRESQSiYvBSaRVi7wFm7jEcAhVO/l8vov5jbvJSV1dHWw2G2VyQn5CvdvIln4d9C21t7dTTnt05OfnU4My2xBKxz3yndFJMckZJZJBCoUiIqohkSKPTqcTrx34Gxq6m1GnawzbOZkIh8NxOt9c3En9ve2YHlNuT0ZmZuaIkkBMWQTMfvQpNO7Yjt7Gehx+6rGgpV0M1baCFck4+NpJAMDJH6KPJNtsNpe0md7eXkgkEkp1ZKQCHffcVncVhYaGBthsNpctekUEiufkmdm4/NvtSJgyDdwQTsxsmJCHgnvb3KOJZIFF+p1swZN+J6SZid8RE8aucCBcpNGTyUlfXx9FmsvLy2E0Gl3Sd1QqVdA5CGtzkqdPn47vvvsOCxYsQE5ODkwmE7hcLt555x3Ex8dTVZhsAj0nOdBIMp30EGJst9up7fHhckZ7zL345PiXWJwzD+MTQ59jGan0kkONR/FL83HE8IS45azwSEMxZSCmr/LJ/cHhcAZSJ8bGQxzfCmOXFYZqG7KysrweVJnQPoFUhkWvvY1vV10UtLSL4dqfflYcxGohjFoLTu3sgM1sBz+Gmfm5gKuTodFoRHNzM0QiEaVIE+hE5UlFwWAwUKS5rq4ODocDTqcTbW1t4PP5kMvlYZnIkmbMCvk52ApvyJVAIHCRFiMLMK1Wi+bmZpSVlUEoFLpEmpliYsGWiONIiFQ76eMCKRQ1mUwUaa6pqaEW6PRIs7tkrK9gnZkIGSgffvhh/O53v8PKlStx3nnnQSqVoqqqCtu2bcNjjz2GsWPHAmDXqp047vlDGm02G3p6eijC093dDS6XC6VSCYVCgaysLK/FwX+uO4IHtz2HPHU2flu33d/meI1I3cCvH/g7AOCqKZchSRZ6I4hIPqh2u526P8g9wuPxoFQqERcXNyjfPG1GM6p/bIdRZ4W+rh+qnJEVZZj0LIYz7YLL4yB/eRJKPmuExWBD/b4un/WlQwm73U7lCup0OsrJkMfjQSaTobCwMKR5pPRKeaLXazAYcOTIERgMBvz6669wOp0u0Ua5XB7S+8lmMqH4/97G2N//AdLklKAdN9on4qHgb7v4fD7i4+MRHx8PYOBeJLsWbW1tqKysBJ/Pd9lliFSx12ghyf4U7oUKIpEIKSkpSEkZeAbp9Q9kUSUQCFxIs68mJ2wpyBwUzpwwYQJ2796Nd955B9u3b4fZbEZ6ejo2b96MpUuXRuIaQw5f1C0sFouLPrHBYIBQKIRSqURiYiIKCgr8XqHvrt0P4LT0W6gRCfJY0XES/z35EzjgYP2cG8JyznC2kxAjcn/09PSAz+dDqVQiISEBY8aMGXaFnjJNheofB2zhW37TeUWSAWaRhNmPPoXGn3Yga9kKcLmBR3aHa9uYC1JQ8tlAyk7V960RJclkQURIcU9PD5VLmpaWBqVSCbFYjOrqatjt9rAXWhHSLBAIUFBQALVajd7eXmg0GsrIAIALaY6NjQ3qxL7jthtQ/Z+voDt5Akvf+lvQjgswa7EYbATaNh6PNyhvtbu7G1qtFh0dHaiqqqI0e0m0OdQLJoLRQpKJmQgT4b4TQV/gd3V1obq6epDJyUjKOkxaFAQCjwliCQkJePzxx/H444+7/L25uRlKpZJ1eskkkuyebuF0OgcV2fX390MqlUKhUHht2uEtdp0aIMnn5M4LyvFGQiRI8msHBibGi8adh/y4nLCcM6SRMVplMckrJYum5ORkjBs3zqdcwFRa8V7rbzpMWDWy5CLTtrQEUhlW7zoIQRDGiZG+t9wlieAJubBbHDj5QxvO/2v4JlxCNEgEhiyIVCoVUlJSUFhYyNg8UMDVGS4nJ4dKBdJqtejq6sLJkyfB5XJdSHOg0cYpt61H9X++QsWmf2LSjbcicer0oLSFSfd/MBGqdtFNLPLy8uBwOKgFnkajQXV1NQC42CWHMjWHqc9IMBFNiwEej0c98wBcrNZ1Oh3lGkm0vAlpptdQkEhytLR5KIxYRdHb24uuri4cOXIEGzduxBNPPIHFixdHVYePBBJJdjqdKCkpofKKu7u7YbFYKGOGvLw8KJXKkMiaNPe0okpzClwOF/OzZgf9+J4QbjORdkMnvijdCgC4e96tYTtvMEkkXYGA7CSQvFJ6tNBfpM5wtaf2Bkx8DukE2elwwG6xhMS6OiZWgKwF8Ti1swM9TUa0l3QjebIy6OcB4EIkyMKZ7BIkJSX5vCBiGugFP4Q09/T0QKPRuEQbiXKGP3mtKWfNwZjVv0fVl//CvgfvxeXf7wza9xWt37s3CHXbSIogUVIhpIjks9fW1sLhcFDKKaQINBikmU1cYjhEczs9Wa0bjUaKNJ84cQJ9fX2QyWTUwooohpHPRys8kmS73Y7+/n4cP34cX3/9NbZu3Qq9Xo/58+dTgtbR3GgCs9mMX3/9FUVFRaitrcWHH34Iu92O9957D5MmTQqaaYc32FN7EAAwLWUiVOLwVKCHOwKZJEvAtus+x/bqvZieOils5w2knXQDB0KKiQJBsHcSAECaEAN5hhg9jUa0HtfDYXeCyxv5WWNqJK27tgZ77lwH1ZhxWPDya34dY6S2jVmRglM7OwAA1dvag0aS3aWU6Pnk3qTORDvoxIlEG8kWPT2vlZCmuLg4r76PuY8/g1PffYPWQwdQ/Z+vUHDZ6jC1KPpA7v1w32N0UkQUEkgRqE6nQ319PWw2G7X9HoixTTSTR1/AlvQDwNXkhBjgmM1mqli0rq4OPT096O/vR19fHyZMCJ2JUKgxiCS3trZiy5Yt+Oyzz1BcXIxJkybh3nvvxZo1a6JWrJyOPXv2YNu2bdi3bx+OHDlCqU4kJyfjmWeewZQpU6jixHCCpFoszglPqgUQmW36mWlTMTNtaljPCXhPIsmDTn6IgYNSqUR2dvagLaVQIHW6Cj2NRlj77NCc7EXCuOEtl5k88PY1N6Pt0AG0HTqAnIsuQfqic4J+jrxlp/OQq7e1Yf69/j2/ZAeJRIr1ej0lyh8fHx9QvQEb4GmLnkyKra2tqKiooBQUCGn2FFmPTc/A9D/fgyMvPIMDjz+EnPMvBD9ATV+mLhIDBVPa5akIlMiKabVaNDU1wWKxQKFQUP2vVCq90uIdLSSZLYVsQyEmJsZFlvDAgQOIj4+HXD78/MV0DDITefDBB/GPf/wDN910E95//30XzWSbzQYej+f3Df38889j8+bNqKyshFgsxtlnn40XX3zRhZQuXrwYe/bscfncLbfcgnfffZf6f0NDA2677Tbs2rULMpkMa9euxfPPP+/VA/n1119Dq9Vi7dq1eO+991BQUICHHnoIzc3NmDJlStjtfIGBh+dg468AwpePDISXJFvsFgh5kbFRHa6dRAqHkCKiH6lUKpGbmxuy9JrhkDJNicqvWwAALUd1I5JkgDmTqTvoahd771nvs9qFN/eoKluK+LGx6DrRi+YjWhi1FojVI99rJDpGIsWEFJMt5dzc3JA5XbIB9Hzl/Px8SkFBq9WipaUF5eXlg7R6JRIJAGDa+rtR/o8P0dvYgONvv46Z9z4Q8PWw5Xv1BKa1zV1WjGy/k/SMsrIymEwml5xVlUrlcSwdTSR5NLSTDrlcThUDRisGMcLJkydDLBbj559/BpfLxYoVKzBp0iTEx8cjNjYwKac9e/Zg3bp1mDVrFmw2Gx566CEsW7YM5eXlLsWAN910E5566inq/2RgBQZSQS688EIkJyfjwIEDaG1txTXXXAOBQODiEjgUXnnllUF/I2Yi4c7RJeBwODh8639xpOkYzkqfGrbzhksnucfci1nvnI+Vhcvx+JJ7IBOGt/CTEC0ykNMjxWazmSLFBQUFXkc/QgnX4j39iCYZTB94Zz/6FBp37kBvQx0OP/mo32kXwyF/WRK6TvTC6QBO/dSBCasHFzy6i+rr9XqXiu1QkeLRAncFBbpWb1NTE8rKyiASiSjCPPOhx1H7zRbkXXJ5hK+cuYhUuoWvoG+/p6cPPHskZ1Wr1aKyshL9/f2Qy+UuChpCoXDUkMfR0k4C1pmJkMbcfffduOWWW/DNN9/gH//4B9asWYOUlBQsWbIEixcvxpIlSyjtRV/xww8/uPz/o48+QmJiIo4ePYqFCxdSf5dIJJT9pju2bduG8vJy7NixA0lJSZg6dSqefvpp3H///XjiiSf82gonttRcLjciJBkApEJJWKPIQPgiyR8c/Qxthg7sOrUfLy5/JOTnIyBuh0ajEf39/dSWoDfGLpFEylQl9Xvr8ZGL95imbuEOgVSGRa++NWAy8o8PQpJ2kbcsGYfeHKjIr97Whgmr0ylSTHe1czgclD1rdnY2ZDIZKwZyJsJdq9dms1GkqaGhAd1xiVCsuwvNZguMLS1Qq9V+p/Qx+f4PBNHcLrFYDLFYTNUxkV07rVaLkydPwmAwQCaTwWq1oqenB2azOSLOs+ECm3KSvQFbFgUe2YFUKsVVV12Fq666Cv39/fjiiy/wr3/9C1deeSVee+013HHHHbDb7QEXtHV3dwMAJTNC8Omnn+KTTz5BcnIyLr74Yjz66KNUNPngwYOYNGkSlfcCAMuXL8dtt92GsrIyTJs2zefrCKbjXjQhHOTKZDPjncMfAQDuPPsmcDmhIySeSJHdbgefz4dEIkFBQUHYCjEDgUgphCpHCl1tH9pLe+CwOcDlD/+9MX0y9Tftwtt7NHNuHIQyPiwGG6p+bEVJcQn03QP9T0ixNxbfowGRulf4fP4gVzi6G2DRsWOQxsZSyhlqtdon0sSGCXkosKFt7gYWFosFWq0WFRUV6OjoQENDA6RSqYvBCRvqoAjYQhq9BYkkR3ubRwyhSSQSrF27FmvXrkVzczNMJhMABEw0HA4H7rzzTsybNw8TJ06k/v6HP/wBWVlZSE1NRXFxMe6//36cOHECmzdvBgC0tbW5EGQA1P/b2tr8uha6TnK4JxCn04lLP70WE5MKcd+CP0EpCl+Sezjau6loM9oNnUiTJ+N3k1YG9dj0nFKSPuF0OqFQKCj1CblcjhMnTkAkEkWVpXryVCV0tX2wGe3QnDQgoXDo+yJaBqHZjz6Fxh3bIZTLYerqCtiJz12GSD6Zi64DgFlng6mOg0kLJ4XNdvkMfAefz0diYiJkHKBl4+sw1dVh+t8+glarxalTp1BUVASpVOpCmkNdNMs0REu6hT8QCoVITk5GXV0dsrKyEB8fT0Wa6+rqUFxcDLFY7GKlHc0Si2wv3HMHfVEQrX0GDEOStVotioqK0NHRgcTERKSlpbkU8QWKdevWobS0FD///LPL32+++Wbq90mTJiElJQVLly5FTU0N8vLygnZ+OkgkOVw5unRUdJ7E7toDONJ0DI8vuTus5w515NzmsOH1gwMW1Ovn3BBw4R6R5KLnFAOgZKqGswBneqTVHSlTlajY0gwAaD2uH5YkA9HRPoFUhgu++A9kaRng+UF2iLkPPaeYVNQrlUpMWpmNXQeqAAD9pTwoVyqD3IIzCAVsRiNO/GsT7GYzjEXHULjsfAADkUa6uQXZnifKGSSnFYiO+98fsLVddBAyJRAIkJiYiMTERACu6Tkkp50UghLSHE0SjKM1khztcCHJpBN//vlnrFu3DmVlZVTB09SpU3HvvffiD3/4Q8Anvf322/Htt99i7969VJL/UJg9e8BYo7q6Gnl5eUhOTsaRI0dc3tPePmDjO1Qe80iIZOHevrpDAIDZGdPDrv4Q6kjyf8p/QJ2uEWqxCtdM+53PnydmBnRHM6I+4EuhFdNzdj0heYqS+r3tuB6Tr8oc8r3RNPAqcnxb6NrtdvT29qK8vBw6nY7KKSeudgqFgtrVir/UiF0PDJDk6h/bsOihwqBf/xkEH/LMLEy+eR2OvfkKDjz+EDKXnAsunw+hUOgiKUW257VaLaqqqtDX14fY2Fio1WpYrVZWp8pF0zPuK4Yam93Tc9zVUyoqKiAQCFwKAZlceDvaSDJb2utCkjkcDqqrq/Hwww8jJycHu3btwuOPPw6TyYTLLrsM999/P2QyGVauXOnXKsHpdGL9+vXYsmULdu/ejZyckW2Jjx8/DgBUHtPcuXPx7LPPUhFuANi+fTvkcjnGjx/v0/UQ0Av3wk2m9tUfBgAsyJoT1vMCoSePG498BAC49aw1kAolw78ZA4Mg3dGsp6cHPB4PKpUKCQkJfuvURidJPm0o01qkH/H90dY+h9WKY2/8FSaNBvOee5n6u9lspiLFOp0OJpMJMTExSE5ORmFhoQspdoc8VYykSQq0l3Sj9Zgehg4TZInsyWkMJpg2ec28ZwPKP/kI2spyVGz6ByZcc/2g95DteRIMMZvNFGk2Go0oLS1FQ0ODS6SZaUW5viLanmt/4G0agrt6it1up8xt2tvbUVlZSdkpE+IcGxvLmHudLZFVb8GW9lIjCGH9+/btg81mwzvvvAO1Wg0Oh4P+/n5ccMEF+Oabb7BlyxasXLnSr4d33bp12LRpE77++mvExsZSOcQKhQJisRg1NTXYtGkTLrjgAsTFxaG4uBh33XUXFi5ciMmTJwMAli1bhvHjx2PNmjV46aWX0NbWhkceeQTr1q3zuzI2UpFkh9OBn+sHouILssNjRU1HqBcFn17xDt498g/cNPOPHl+32Wzo7u6mUid6enogFAopm9+xY8cGZTstGkmyJO608157cTecDic4XM/fA1MmAV/Qcfw3HH1pQLJRftYcCMZNgE6no3SqVSoVxo4di7a2NojFYuTm5np13LxlSWgvGSgIrtnePqJ83hkwAzEKJWbd+wB+fngDDj//NMas+r2LtbnHz8TEUIVgPT09SEtLA5/Pp4rBjEYjpdNLiFO0kuZofMa9hb9jMyHEpPCfOELqdDp0dXXh5MmTlBkQeV8kC3fZEln1FmxR8xg0YhgMBjidTkq2RSwWw2KxABgo4uvoGLB/9efG3rhxI4ABwxA6PvzwQ1x77bUQCoXYsWMHXnvtNfT19SEjIwOrVq3CI4+clg3j8Xj49ttvcdttt2Hu3LmQSqVYu3ati66yr6CT5HCSqfKOKuiMekgFEkxLmTjyB4KMULc3OTYRTyy9l/o/0U0lP729vYiJiYFSqURKSgoKCwtDUpgRrQ9qylQlehqNsBhs0NYYEFfgudAtmhYBJM+0W65E3IqLofnvVhx99AHM/uQLjzrVnZ2dPh0/f1kSDvx1IOWCySQ5WvornJh0wy0o/ts76Kmvw7G3X8NZGx726fMk0kzmLrq5RXl5OUwmk4sjnEqlYrzSzWghVsFoI90RMjc3l6phIfdATU0NnE4n9R61Wg2FQhE20jxa+hIAlabLqkgygVKpBACqSEIgEMBkMqGlpQVlZWU455wBfVN/Gj/SxJCRkTHIbc8TsrKy8P333/t8/qHA5/MjopNM8pHnZM6AgBdeVzcgdOTKbDMjhh8Dq9VKEWKdTgeDwQCxWAylUom0tDSoVKqwSPxEq7Rf8hQlTmxtBTBQvDcUSQaYS7osFouLJF9fXx9kMhmUSiXOfvJZ7CorhqGhHl2ffITCIUxGfGlb+iw1REoBTHoranZ2eCWfdwbMAC8mBnMfexo/3rAGFf/8CDPu2gCel26Xnu4RsViMtLQ0pKWlAQD6+/spwlRaWgqz2Uy5KxIbZaaRZqY+18FEqMgjl8uFQqGAQqFATk4OnE4nRZp1Oh3q6upgt9sHkeZQ3QOjjSQD/vFEpoEiyaTzcnNzoVarceTIESxZsgQKhQL79u3DVVddBYlEgltuuQUAOxpPIBQKKZ3kcA5KDqcTybJELMgKf6oFEHzySAjR9VvvQp+5H2szV6EwoYBSnlAqlRERi4+mSCsdKfTivSI9Jl6R4fF9TBp4ycKIkGKDwUBpn+bk5Ayypl386tvDmoz42jYun4vcpUko/6oJ5m4rmo5okXm2f+ZHZxB+5F+2Gn1trRj3hzVeE2SCke4VuiMckQ/UaDSUeoLVah1EmpkwzzHp+Q4FwkUeORwO5HI55HI5srOzKV19snBqbGyE1WqldhtUKlVQHVjZkn7gDdylC6O53YN6f+rUqVi3bh01kU2cOBELFizAxRdfjDVr1kAsFof9IkONSOkkr5tzHf40+1pYHdawnZOOQNtLiqxItLi/vx+dTh32tRwBBxy8c/mLKEwOnmxgIIhGkpxMc95rK+oe8n2RXASQFBpSaGcwGCCRSChHO6VSOay2rb8mI8Mhf9kASQaA6m3tZ0hyFIHD4WDqn+4Iy3kIac7IyKDcOQlpbmhogM1mc8lnDefWPMFoiD5Gqo0cDgcymQwymQyZmZnUPUAizc3NzTCbzZQZUaB57aOhLwlI8I0Ji8xAMai3pVIpVqxYQf1/xYoVLv9nI+iR5HBvy3M4nLBLv9HP7W17iUYtPX3CZDIhNjYWSqUSeXl5UCqV+NO3DwAALik8nzEEOVojybIkEWJTROhtNaGtSM+IQZYUWxJS3NvbC7FYDJVK5fduATEZ6e/qQOdvR5G2cLHL6772Xd65SQAHgHPAonrJExN8+vwZMANOpxPtR39B8syzQn4uDocDqVQKqVRKESYSZdRoNKirq4PD4YBSqaTMTcJhVBON45avYMK4BrjeAxkZA7t2/f39lFYzKQYlsoOENAt8SAliA2n0BmwywfFqSUS2CdjQYE8QCASw2WxhlYDTm3qgiImsPM1w5JFsR9K3zi0Wi4vygEKhcFlV1+ka8VXZdwCAu+bdEpY2eINoJcnAQF5yb2sbTHor9HX9UOUMrvgPZfuINim5D0ixpUqlQkZGBlQqVcApNAKpDEv/9iFilEoocvMDvmZpQgxSp6vQclSHjtIe9DQbIU9jzg5YpMfRaHgWHHY7vll1EZr27MLl3+1A6tnzh31/sImWpyijwWCARqOBTqdDbW0tHA4HVCqVC2kORd9G+n4JNZhCkj2B7DaQvHaTyUSlZ5w4cYLS6qbvOAy1c8bkdgYbrI4kewIbGjociONeOMnUrf+5D780H8ebFz2HC8YuDcs53UFvL4mc0NUnbDYb5HI5pT4xUlHDm4feh91px5Lc+ZiawpzoXbST5JM/DEglthXpPZJkIHjEh2iP0rWqhUIhVCpVSIstE6fP9Ph3fyeV/GVJaDmqAwBUb2/D9GtH1mQ/A+aAy+NBkZOHpj27sP+xB7F6+96IBxRiY2MRGxtL5bO6KycAoMhSXFxcUDR6RwOxiqY2ikQipKamUgoqJOVQq9W6uELS0zPIeBlN7QwU0TrfeoLPyTVs7GiSkxwudQu7w44DDb+g29yL5NjEkJ/PE5xOJ6xWK/r6+lBSUgK9Xg+73U5Z/KalpUEul3td6dth6MInx78EANw979ZQXrrPiOb7NXmqq6lI4aVpg94TSPvcDVy6u7spreqUlBSMHz8+7HUIbYcPomX/Pky/ewMA/wbc/GXJ2Pt8JYABKbgzJDn6cNYDj6Dqi8/QfvQXVP/nKxRctnrI94Z7UvZUBNbT00OR5urqakqSjJBmf9zg2EQ2hkI0cwpidEQMbojEpVarRW1tLYqKiiCRSKBWq2Gz2WC1Rqb+KNxgi5EI4CVJJkVtPB4vam/m4RBuneTi9gp0m3uhiInFlGT/XAJ9hcPhgMFgcIkU2+128Pl8JCYmIjMzMyCh9Y+P/Qsmmxkz06Zgflbocwh9QTRHklOmqqjf247rh3yft+0jVt8kp7inpwd8Ph8qlQpJSUkYN25cSLSqvUVPXS22XroCTocDiTNmASmDFwXeIHmqEmK1EEatBXV7OmG3OsATsGPQDgaiYRyXJiVj2h1348jzT+PgU48i94KLwRsmtSfSkWa63Bh5zrRaLWVsweVyqS15tVrtNWmOhr4KBNFMkt3hbqVutVqpsdbhcODXX3+lajjIfRDJ8TZUYFOfDkuS6+vrsW/fPtTU1IDH42HMmDGYPXs2srKYKdDvL0i6Rbgiyfv/57I3N3MmeNzQaDISIXV6hJDD4UCpVEKpVCI7O5vaVs/Ozg74fHfMvRFJskRkKtMY93BEM0mOTRVBEi9Ef5cFbcc9F+8N933T7wOdTofu7m7K6juYrobBgjw7B4Vrrx9Qu7j7dkz74FPwJcM7r3kCl8dBzjmJA1JwPTY0/6pF5twzKhfRhql/+jNKP/g7eupqUfLB3zD1tvWRviSvwOVyqbGWGFsQC+WOjg6cOHECfD7fhTRLpdJBzyGbyMZQYHMbBQIBEhMTkZiYiPr6esyZMwcWiwVarRbNzc0oKyuDUCh0sdL2dB9EG+iR5GivZ/NIkm02Gz744APceeedcDqdkP7PHrS3txepqal48803cdFFF4X1QkMJoVAIp9MJh8MRFjJ1oP4XAMC8IEZcybY5iRITMkSqsfPy8gZFLnp7e4PW3hh+DK6ZdkVQjhUKRCtJ5nA4SJ6ixKmdHejXWNDTbIQiXTLofaR9ZMeATorJhJ2QkICCggLGD8KzH30KjTt3oLehDjVvv44x9z7o13Hyzk2kpOBO7eg4Q5KjEEKZDLMffBS77lyHX15+HoV/WIMYhXLQ+5j+fNPd4PLy8ijSrNFo0NbWhsrKSggEAhfSLJEMfs7ZCKb3XbDgdDrB5/Mhl8sRHz8wFpHCaJ1OR90HZGfP1x0HJoFNCx+PJPnHH3/Erbfeiuuuuw633347pSNZXl6Ol156CWvWrMH+/fsxfnx4UgVCDVKNarFYQv7AOpwOHGj8FQAwL3OW38chBVaEFJNtc1/IUDAk76z2gTQVPjc4guuhQDRHkoGB1IFTOwfs4NuK9C4kmWh7OhwOFBUVQa/XUzsGcXFxyM/PZzwpdodAKsOiV9/Ct6suQsvXXyF+8RJgjO9ygrlLTuf7n9rZgcWPMme88vV+dC+oJNGnYBWIMRmFV69F0btvDShMNDd7JMlAdKUl0EkzcJosabVatLS0oLy8HEKhEDKZDHa7Hf39/awlzWwiVEOB2DS7t5PH4yEuLg5xcXEAMGjHoaqqyiW3XaVShUxFJZhgdU5yT08PXn/9daxZswbvv/++y2uLFi3CokWLsGLFCjz//PP45z//yYobnJBkh8MR8nSLys5q6Ix6SARiTPYhH5no09KluEiBVXJysl+5pMEgjx8f+zfeOvQBHj3nbqyacGFAxwoVop0kp9BMRVqP65G6MNbFxIUMwCqVCrm5uVEZeXAH3WTkxIvPYPrKS302GYlNESNxghwdZT1oOaZDv8YMSVz4HR/9gbuFbnd3N7U9n5qaCofD4VIgRmTI4uLiGJU+Ewxw+Xxc/O+vIU1JBXcII4dofr6BwWSJkObm5mbY7Xbs27cPMTExVB+TXFY2gA0cYiR4qxvsaceB5LZrNBpUV1cDgIuVdjj0un0Fm9wFB404ZrMZpaWlePHFFz1+wOFw4NZbb8Udd4TeFSlcIGLgVqt1yBVfsCAVSnDn2TfDbDNDwBtahJzY+5Ifg8FA6dOmpaVBqVRCJBIFdJ2Bkkebw4Y3Dr6Hen0TNP1av48TakQzSXY6nZAXnNbdLP/pFDjzO11yy3k8Hn755RdkZmZG8EqDj9mPPoVTP3wPU2sLqv61CRNv8F17O3dpIjrKegAnULurExNWp4fgSgMHkWAkaTJ6vR7AwGSYkJCAMWPGUOSXw+FAIBBQBWJk2761tRUVFRWIiYmhCJdarQ6JZF+4EZvBrnt7JBDSzOFwoNPpMG/ePOj1emg0GjQ0NKC0tBQikciFNEdjP7PJdGI4kHb6Smbpue3kOKTwmihoEJObSDpDuoNunBLtfTuIJHO5XGi1WpcJ12AwoKSkBHPnzgWXy0Vqaip6e3vDeqGhBDFDsNvtAEK7ss1SpuPJpfcN+rvFYhlEiiUSCZRKJTIyMihSHEwESh63lH2Pen0T4iVq/HHq0PJMkUY0PaQkfYJOlmw2GwQyLqwGB8z1HCxYsMBlEDQajVG7CBgOAqkMhQ89gf6WJky4/ma/jpG7NAmH3hiIvtTsbGcUSTYajVQ/63Q62Gw2KJVKytLbmzQKeuQpPz8fdrsdOp2OcokrLi6GVCp1Ic3RDJvJhOK/b0TGonOQMHmqy2vR9Jx7CzIX8fl8xMfHU7msNpuNIkqkn4nUGCHOgZr8hBNs7Ds6grUYoKuoEOlBg8FA7TjV19e7jCNqtRpKpdJrKddggdWRZJIHZTAYqK2fU6dOYd68eVQqgtPppCRO2PBFkBvIZrMBCM/WndlsdiHFfX19kEqlVHRQoVCEfJALxGHQ4XTg1QN/AwDcetZaSATM3fpjciSZkGK6s6HNZoNCoYBKpaKk+ZpnHEDdnk70dVjQ12FBbLJo0HHYCPWMWZBPmeb3OJM5Nw58MQ82ox21P3VEdGuXaKh2dXXBaDSira0NcrkcKpUKqampQYkA8Xg8FzJltVqprdqqqir09fWBw+GgoaEBdrsdKpUq7BNoIDjw+EMo/ts7yFy6DCu//CbSlxNyDPVc8/l8JCQkICEhAcBpqTE6aZZKpS6FgEwkzaMtkhzsdtJNbrKyslzs1HU6HZqammCxWKBQKKj7QKlUujjlhgJssuAe9E3FxMRgypQp2Lx5M/74xz/CbDajqakJcrkcwEC0devWrZgzZ07YLzZU4HA4lKEIEBrCYTKZcLK5BkfqjyFLkAquFZQzT25uLhQKxZB2lqFCIOTxh6pdKOs4gVihFDfOvDrIVxZ8MIVEutt9kwgiIUtpaWkeyVLKVCXq9nQCANqL9Ij9n3g9wP4JhsDcrUf9tv9izBVXef0ZvoiHrPnxqNnejt5WEzrLe5A4QTHyB4MAm81G9bNWq0VfXx9kMhm4XC7kcjkmTZoU8slKIBC46LaaTCbs378fVqsVpaWlMJvNLtbKTNiqHQ5Tbl2H0g/+hoad29C8fx/S5i0AwJznOxTw5vmmS40BrqYWp06dQlFREWQymQtpDvd84wmjhSSHy6bZk5260WikTG7KyspgMpkgl8upQkCVSkWlnAYLbMoz9xhJvuaaa7Bu3Tr89a9/pXJ0SVQZAMrKyrBhw4awXmioIRAIKDecQIv36ESI/JjNZuzvPoqXS/4PM5On4IdrPwv6jekr/CXJTqcTf/n5HQDADTOvhkocHtLhLyIdSSbb6oQwWSwWlwiiN86GyVOU1O+tx/XIXz6YJLNpYKLD6XTC0tuDLxfPRV9LMySJyUhfdI7Xn89bmoia7e0AgJqdHSEjyXT3Qq1Wi97eXohEIqhUKuTk5ECpVEIoFOLUqVMwm80hJ8ieIBKJwOPxkJeXB6VSif7+fmg0GioC6XA4qO16f13iQglFTh7Gr7kOpR/+HYeefgyX//cn6vqYdJ3Bgr/PtLupBdHmpdsnx8bGupDmSMxHo4UkR6qdHA4HEokEEokE6ekDqWZkPtJqtaisrER/fz81HxHiHOgCyl0nOZrhcZReu3YtBAIB5bLH4/GorRoej4f33nsv6nPb6CCFMPScZF9A3zInP4QIKZVKjB07FgqFAl9+/yMAYGHe3IgTZMB/8vhbSzGOthRDxI/ButnXheDKgotwk2STyeSSU2w2m6l7obCwEAqFwuct7uQpp4ldW5He43vYSJJJe4SxcmQtX0GZjKzec8hrtYvcc5MAlAAATu1sx9w7CoJybUMpUJAdAZVKxchiKvqELZVKIZVKqahTb28vNBoNNBoNTp48CR6P50KameAONvO+B1H5+SdoPXwQ9dt+QPbyFayOJAcDQqHQxT7ZbDZTpJmk4ZDoIiFK4ZijzpDk8EMsFkMsFiM1NRXA6flKq9Xi5MmTMBgMLrsOKpXK51QdVkvAEfzhD38Y8kNsIsgEvkSSSd4PnRSTLXOlUjlkdHB/w/9MRALQRw4m/NVJnpE2Bf9duwmVndVIlDHfoCHUJNlsNruQYpPJhNjYWJcFUqBRQ3WeDMJYPiy9NrS6kWQmDLyhBOk7usnI4ScfxYKXX/Pq83EFMsgzxOhpNKJhvwaWPhuEUt/7gyyGCSkeToFiODC1vzgcDuRyOeRy+SDlDKLdS1fOiFRxmCwlFZNv+hN+e+OvOPTM48g6bzl1/WxDqBa+MTExSElJQUpKCoABokRIM4ku0vNYVSpVSHY+mEQeQwkmBzBEIpHLvUB2HXQ6HWpqatDb2wupVOpicDLS4p/J7fUVHu/6Y8eOwWw2w2KxwGq1wmKxwG63g8vlQq/X48orr2TNKoGAkGRPxWykgpRu8exwOKgtivT09BG1Clt62lCrawCXw8VZGdNC3RyvEAh5PDtzFs5mCNkfCcF+WEm+H7kf+vv7ERsbC5VKhYKCgpAURnC4HCRPVqBhvwY9jUaPmr9sj6bRTUYq/vEBci66xKu0Cw6Hg7ylSTj2UR3sFgcafu5ySVcZDsFQoIhWuCtnkBxrunIGiTiRnOZw7ZBN+/PdKP3w7+gqLcbJLV8CcYkjfygKES6yIRKJkJqa6hJdJAWf5eXlLnmscXFxQRvjRgtJjia1B/ddB09FoWKx2GUB5b7DFE3tHQke7/LFixejr6+PSrngcDgwm81wOByQSCRYtWoVIytlAwEhyRwOB1ar1cXNrru7G06nk9IrzMrKQmxsrE8LhQMNAy57k5IKIY/xzRQhVPCHJBssfZAJpSG6otAg0EgykecjRKm/v58quszPz4dCoQgLOUieokTDfg2AgbzkvKXsUZjxFnSTkb33rMfq3Qe9SrvIXZqIYx/VARjISx6KJNMXQDqdjiIHwVSgiFa4y5DR81yrqqqo3EZCpEKpnCFWx2HaHXeh49hviBs/Ec1t7SE5z2iFO2kmxV8ajYYq+FQoFNTiyF+ZsdFCkqNZ7cG9KJQuP9jY2IjS0lLK6IZEm1mfblFSUkJpM3K5XFgsFlRVVeG5556j8pXZBIvFApvNhr///e9oaGiAwWDAa6+9RkWMguFidoCkWmQxJ/rqK3ksaz+BZR/9HtfPuApPLd0QNQObr+0kRi6EKBF5PuKCpFQqI/IM0Iv32ooGk2Q2RpI99d3sR59C447t6G2sx29/eQFznnh2xOPkLEoAh8eB0+7EqZ2nCRVdgUKn01H5eKHcFWACgvHsukecTCYTlc9cWloKi8VC2aPHxcUF3Rls5j0PnG5HW3vUjEe+gCnb1mKxGGlpaUhLSxukmFBcXEz1NVkgeVt3wcYxyxOY0o/BgLv8IHEDJpbqFRUVVJ1XQ0ND1JtceRz9PTUqIyMDiYmJWLlyJS666KKozks2Go04dOgQ9uzZg7179+LgwYOwWq2ora3F3LlzcdFFF2HBggVBvakP/i+SzKQUBV/J4yv734XB0ofG7paoe+CHayfd3ZAQJaJZTVcliDTo9tRtRd2Ru5AIQyCVYdFrb6Py048x9Y67vfqMSClE2kwVmg5roTlpQMnPlbCI+9DT00MpUGRlZQWlsnu0QiQSuRApopxB0jOCrZwRbWOQP2AiiXRXTKDn6mu1WjQ1NcFqtQ4izZ4WSIQ8sr0v2USS3cHn8wdZqldUVKC7uxtdXV3IycmJ8BUGBp9CJGPGjAGXy4XZbA7V9YQcFosFiYmJkMvlWLRoEX7/+9/j7bffxpVXXokNGzYgLi4OEyZMCPoN/eGq17C/4RfGFO0BvpmJVGtqsbn8ewDA3fN8tweOJNwXA/TooV6vR29vL+VuyGSiFFcgo4wx2o7rqb+zOZI8FFLnL0Tq/IUjvo8oNuh0OkjGO4DDA3+v36PB9OtyMH78eIjF4TfCYXtfDaec0dXV5VE5QyKR+HUuQ0szWt59A+I58zDnrnuD3JLIg+nkit7XGRkZLoYWWq0WDQ0NsNlsLoVfhDSz/TkgYFOO7kggamgKhQKFhYVR3+4hSTKxN21paYHRaERsbCxkMhk+/fRTykfcHzz//PPYvHkzKisrIRaLcfbZZ+PFF1/E2LFjqfeYTCbcc889+Pzzz2E2m7F8+XK88847lOYjADQ0NOC2227Drl27IJPJsHbtWjz//PMjbo0KhUJUVFQgLS3NpfOEQiEsFkvIHtxxCQUYlxAc6algwZdI8qv7/w8OpwPnF5yDycnjQ3xlwYXD4YDdbkd1dTVFikUiEWX57Y/ETSTA5XORPEmBpiNa6Gr7YNJbIFKeJvNsnHC8uUedTic6jx1F4vSZLrbeWq2WUqBQKpUoWJaCqg8H/m+q4FP5lmcQenijnCESiagcV1+UMxp2boNu239R8sthTL/hZgj/Z3zFBkRjBNKToQWxTqbrcatUKshkMgDskgzzhGjsx0DApvYOySjfffddvPzyy2hpaaFWBsuWLcNLL70UUORlz549WLduHWbNmgWbzYaHHnoIy5YtQ3l5OaTSgYKwu+66C9999x2++OILKBQK3H777bj88suxf/9+AAME/sILL0RycjIOHDiA1tZWXHPNNRAIBHjuuedGvAYiqk2HUCikCvcCNROJFnhLkuv1Tfi85GsAwL3zbwv1ZQUMu92O7u5uKs+0p6cHwEBaBZP1a71B8hQlmo5oAQBtxd3IXpjAmsHIHzjsdmy7/o9o+OE7THj5dThzC1xsvekKFI4JTvykqoZRZ0Xtnk44bA5w+eydmJkMT8oZ7hX0MpmMijIPp9s77qo1+PmFZ2BuacbxjW/grPsfCXNrQgc2LHw9WScbDAZoNBp0dAxYxe/cudPF2EQul7NqXIvmwj1/wKZFjwtJJuz/nXfewRNPPIH169fjiiuugEQiQXV1Ne6++27ccsst+PTTT6kKZ1/xww8/uPz/o48+QmJiIo4ePYqFCxeiu7sb77//PjZt2oQlS5YAAD788EMUFhbi0KFDmDNnDrZt24by8nLs2LEDSUlJmDp1Kp5++mncf//9eOKJJ/zaKhcIBCGLJD+7+zUkyRJw+YQLoRYrg3rsQEBI8kirvtcP/B02hw2Lc87GrHRmyNfRQXc6I6RYKBRSpg5ZWVk4ceIECgsLI32pASN5qqupSPbCBOr/bJhQvQFRG6FMPP63qK356ws4/9sdiE9L8zhAc3kc5JyTiPLNzTB3W9F6TI+0WdFbW8EmuBcD0ZUzTpw4QSlnENJMV1Pg8vlIuHINml95Acfefh2TbrwV4jjm67d7CzaRRcCVNMfFxeHQoUOYPXs25fxYU1MDAC6kOdqlFtkUWfUG9FzzaG+3R5L8wQcf4IEHHsA999xDvZaVlYXvv/8eM2fORHNzM+Lj44PS8d3dAwVIpBDw6NGjsFqtOPfcc6n3jBs3DpmZmTh48CDmzJmDgwcPYtKkSS7pF8uXL8dtt92GsrIyTJvmO5GjS8AFk2z0W414Zf//weawYVn+YsaRZGD4B9hg6cO//xdFvm/Bn8J2bcOBbNWSvOKenh7K6SwlJQWFhYUuuo29vb2sIZDu9tQA+yZROsjOTldX15AKFFPf+j/859yF6G2ow4k3/orEYUxGshcloHxzMwCgdnfnGZLMUAynnFFcXEwVhlFFgLPPhnrCJGjLSnD0tb9g/tMvRLgFwQHbyRWJsLqn4hAnS5K/zuVyXUgz0+zSRwLb+9EdDoeDNSpoHtMtent7oVKpBv1dLpdT8i/BgMPhwJ133ol58+Zh4sSJAIC2tjYIhcJBec9JSUloa2uj3kMnyOR18po/oJPkYKZbHG0uhs1hQ2psEjIUzMqB9KbgSyaU4vBt/8V/yn/AvMyzwnVpLnA4HFSkmOhW8/l8KJVKJCUlYdy4ccPa5YbbljqUSCiUgyfkwm5xDLKnZksbySJIp9Ohra0NJpMJBoNhWAUKb01GchafNp2o3dOB+feN9fi+M2AWRlLOsDsciLvyj9A+ej+K/74RU25Zh9j0jEhf9hmMAE/kkcvlQqFQQKFQUKS5p6eHSs+oqqqiSDPJYZdKpYwmoaONJLOpvR5J8oIFC/D5559j5syZGDNmDPr7+8HlcvH0008jIyOD2hIL9EtYt24dSktL8fPPPwd0nGCA5CQHO93icNNvAIDZGTMYd9N4q4qQJk/BujnXheOSAICKJJDIYXd3N3g8HpRKpU/2v3SwhUDyBFwkTpCj9ZgempMGmHutiIkdWLFHaxvpChRkIUR2BuRyOaRSKaZMmTLsMbw1GVHlSKHMlkBf14+mQ1pY+20QSNing8xmeFLO2LFjB9KXLkPbvz5Fb2kxvtlwNyZseDhg5YxIg01kwxO8aR+Xy6WMvPLy8qhFtFarRXt7OyorK8Hn86koM+lvJn1vbMrR9QZsaq/L7EAa9eSTT2L16tVYtmwZ5s2bB7lcjoqKClRVVeGtt95CXl5ewCe+/fbb8e2332Lv3r0uhXTJyclUziE9mtze3k5tvSUnJ+PIkSMux2tvb6de8wehiiQfbjwKAJjNwFzekUhyV58G8dK4kF+Hw+Fwsf3W6/XgcDhQqVSIj49HQUFBQJECNkWSASB5qhKtx/SAE2gv6Ubm2fGMmhBGAl2BgvwAoLbPCwoKqEmuoaGBKrwcCXSTkcNPPooFQ6Rd5CxOPG1RfVBDmbKcQXSC5D2mp6dD+fJrqPl+K/LW3gCDwxmwckakcYYkDwa96JOQZlKj0NraioqKCgiFQhfSPNxOYzjA9n50B5G8Y8O86zGEkpaWhn379uHTTz/Frl27YDKZsHjxYnz22WcBC0M7nU6sX78eW7Zswe7duwcdb8aMGRAIBNi5cydWrVoFADhx4gQaGhowd+5cAMDcuXPx7LPPoqOjg7JK3L59O+RyOcaP90+eLBSRZIfTgcNNxwAMRJKZBrIo8tRerVGPqW8txbyss/DuJS9DJVYMeo+/INXN9Mghh8OhxOeD4XBIB1seVgJ6XnJ78QBJBpgdSTaZTJR6gU6nc1GgyMrKgkwmGzLy4G27iMnInrtuR+7Ky4Z8X/aiBMqium5356gjyUy+T/wFaVPKnLORMudsl9eIcgZJzfBFOeMMQotgkEd6vnJ+fj7sdjtFmskiidgmk59w7yyMNpLMJjWPIfcZ+Xw+1q5di7Vr17r8PdAw+rp167Bp0yZ8/fXXiI2NpXKIFQoFxGIxFAoFbrjhBtx9992UFMz69esxd+5czJkzBwCwbNkyjB8/HmvWrMFLL72EtrY2PPLII1i3bp3fEQKibhFMQlXVVYNuUw8kAjEmJY0LyjGDieEiyX878k/0WvrQ1N0KhWjwtrUvIOLydFLsdDop2++cnJyQVi+zbXBKnkxTuCjWA2BeG8luECHGJpMJsbGxUKlUmDBhAuRyuVe2tb62K3X+Qvz+wFFwhyE92YtOK4LU7un06fjBABP6ignXEGx4apO1vx8CicSjcoZGo0FlZSWMRuOQyhmRBtvJVSjax+PxBjnAkXGoqakJZWVlEIlELqQ51IZCo8lMBGBXe4ckyQaDAaWlpaiqqkJfXx8sFgucTie6urqwdu1aFBT4Z4yxceNGAMDixYtd/v7hhx/i2muvBQC8+uqr4HK5WLVqlYuZCAGPx8O3336L2267DXPnzoVUKsXatWvx1FNP+XVNwABJttlsQU23qOisBpfDxYy0KRDwmBupcCfJPeZebDzyMQDgnvm3gcvxbVFESDHd1c7hcLho1w4XOQw22BZJThwvB4cLOB0DWslA5Ntos9moPEG6tbdarUZBQQGUSuWIRj/BAp0gm3RaiFSuChbS+BgkTVagvbgbbUV69GvMkMRFx/b7GXiHrrJS7L3/LohUalzwz3+5vOaNcgZxh4uLi4NcLo9YVOwMSQ4cPB4P8fHxlGwtXZO7oaEBpaWlEIvFLqQ52Dr6bO9Hd5BIMusk4Aiamppw4403Ytu2bVAoFBAIBOByuZBIJGhtbcX8+fNRUFDgV1TZm4lcJBLh7bffxttvvz3ke4gkXbAQCp3ky8avwNK8+ejq0wbleMEGuYHdFwXv/7oJelM3xsTl4pLC5SMeh55jSoix3W6nSHFmZiZiY2MjNtF4I3UXTRBI+IgbE4uuyl50VvTAbgm/+Q1dgYLI8JEtzWBbe/v7PJb/4wMcfuIRnPfhJ0hftMTltZzFCWgv7gacQN3eLoy/LC0Yl3oGDAGXx0PLgZ8BpxOdJUVImDR04ae7cgaxVCbpGU6n0yW/Ndrkx5iMSIzJ7prcNpvNxQ2wuLgYEomEymFXq9UB57CzKf3AG7A2kkxI71//+le0t7dj7969mD9//pAfZlOnC4VC9Pf3B71wTx4TC3lMYOkKoYR7BLLP0o+3Dn0AYCCKzOMO3nYkMoD09AmbzQa5XA6VSoX09PSIRl/cwTaSDADJk5XoquyFw+pEZ2VPyCPJwylQpKSkYPz48SHfsvQVuopyWPsM2HPnOlyx5xCE8tNpKjmLEnHojWoAQO3ujjMkOcrhfu+rxxWi4PIrcPKrf+PIC8/gwk+/8Oo4niyVe3p6XDR76dv5oc5vZdOY5QlMaB+fz0diYiJV32S1Wqkc9lOnTqGoqAhSqdSFNPsaAGBCO8MJNi0KPEaSGxsbsXz5cooguw9AbOzsUJmJMB3u7f342L/Q1a9FljIdqydeBGCg/0nhFSFIFosFCoUCSqUSaWlpXueYRhJs6tfkKQqU/rsRwP9SLjKD2z5PChROpxMqlQpxcXHIz88PizZpIMc/65En0bhrB3pqT+HAow9i8eunU7Yyzo4DV8CBw+pE3e7w5yWfQfDhfq+cteFhVG/5ErXfb0XH8d+QOHW6X8d01+zV6/XQaDRobm6m8lvppDmYyhlsGrM8gYnkUSAQuJBmi8VCkebq6mrKzIjsLHiza8bEdoYSrFW3IJ149tlno7a2Fo2NjcjIyBgVnUtIcrDSLX48uQt//fldXDr+fPxpdvg0hn0F/UZ2Op34d8lWAMD6s65HZ3snRZAsFgsVKU5JSYFCoWA8KSbwVg86mpA06XRUtL1ID0lW4M8ofSGk0+lgtVoZkTLjb78JpFIsfuNdfLNyOao+/wQ5F16MrGUrAABCKR/ps+PQ8HMXdLV90NX1QZUtDeZlDws23YtMgKfvUzVmLMas/j1O/PszHHnhGVz0+eaAz0NXUgBclTNI1JGunKFWqwPOxWfz/BsNz4FQKERSUhJlWEa3TCc1W7GxsS6k2V0thU3pB96AtZFk0okrV67EzTffjOuvvx7XXHMNYmJiYLFYqNydc889F5MnT2bV6oi0MVjpFvvqD+Nw028oTPSvwDFcICTZbDZDp9PhtTmPY3PFd8gyJKG5uRkqlQrjxo1jVMW3r2AjSU6erKR+byvpRu5K31ftZFuR/BiNRkqBorCwMKoWQkMh+aw5mHzr7Sje+Cb23nMHrthzCCL1QNV7zuIENPzcBQCo29MZVpJ8BsGHp7lo5n0PoerLf6Hux+/R/tuvSJo+M6jndM9vDbZyBpvmWE+Ixva5F36azWaKNFdWVqK/vx9yudyFNLOJNHoDNi0KPOYkv//++9i9ezcSExOxbt06cLlc8Hg8iEQitLW14Z133sHkyZPhcDiifhIl4PP5sNls4HK5QSHJhxsHnPbmpDNPHxkARYrtdjtKSkpgNpspgvTnJbdAoVCETY0g1GDLw0qHWC2EPEOMnkYj2ku6ketUjvgZoh9KKruJAoVKpUJ+fn5YFSi8RTD6bub9j6Bhx4/Qn6zC/ofuw9J3B3LucxYnYs8zFQCA2t2dmLY2O+BznQGzoMovwNjf/wGVn32Cso/eCzpJdoc7gTIajdBoNNBqtR6VMxQKBSvHJ28RjSTZHTExMUhJSUFKSgqAgR05QporKipgNBohFAohEAjQ2dkJlUrFuHE22GBDvxJ4dNx7/PHH8cADD4DP51PKFjweb1Cj2UKQgYHBLViRZJPNjOOtpQCAszJ8z1+SMH0AAPKXSURBVIMLBUheFSFJ/f39VJV2eno6HDIgU5XusVAv2sHGSDIAJE9SoKfRCEuvDaZ2x6D2ORwOquiIrkBBDDyCqUARSgTab3yxeCDt4pLzEZuZDafDAQ6Xi9TpSsTI+TD32FC3pwNOhxMcLvMHdrPZDA6Hw/qJ1hcMd4/Muu9BpM1fiLG/+0MYr2gAYrEY6enpSE9Pp5QzCGmura0FAIowx8XFDcrzZxPZGApsa59IJEJqaipSU1MBDCyUKioqYDAYUF5eDpPJBIVCQaXtqFQqVnEp4HTAlbUScCKRCAKBAE6nE06nEw6HA3a7HU6nEzabDTExMaxzKBIKhZROcqCT8rGWEljsViRI45CrygzSFfoGupmDXq9HX18fZDIZlEol8vLyoFQqIRAIcPDgQUhlUiz7/CpwOVz8Y/WbGJ84JiLXHGqwjSQnTVai6vsBMx5DjY1SoCCkuLu7m7JwZaoCRbiQOH0m/vBrKSRJp23ruXwusubHo+r7NvR3WdBR1uOS680UkLxXsgNAVHgUCgXi4uIQHx8PhULh9XYu254DgqEmY0VOHhQ5eWG+msGgK2dkZWVRyhkajQYdHR04ceIEBAKBC2lmO0lme/uAgYWSVCpFTEwMJkyYgP7+firSXFpaCrPZTLnNqtXqqE5tJGBTv3okyUePHsXWrVshkUhgNpthtVphNpvB4/Gg1WpxwQUXYOXKlQG77zEJ9MK9QCPJh5sGUi1mp08P241itVpdSDF9Kz0nJ2dI61UOh4PvqnegRlsHlViJDEVqWK43nGBrJDmJ5rzXfdKCoqIiAAi7AkUoEcxrpxNkh80GDo+HnMWJ1EKjdncHI0iypx0AsVgMlUqFvLw8qmhMo9Ggq6sLDQ0NcDgcUKvViI+P9xiRPIMB2C0WGDVdkKVEfpyjK2fk5ua6KGcQZzgej4eYmBi0trYiLi4uKnZ+fAGbyNRwoLdTIpFAIpFQuwv0lJympiZYrdZBpDnaeBabuKELSSYdeezYMTz33HPIysoCMJCGYbPZ0NnZCYPBgAkTJlDvZwuCaUtN5SNnhC4f2WazUaSYOJxJJBLK0U6pVHo1oDrhxFu/fggAWDf7WsTGyEJ2zZECm0gyKRLR6XRotXZRf+87ZUdeXh5SU1NZMzgRBLvftJUV2H3HrZh86+3IOee0WU7t7k7MWR/+Qlu63B7p2+F2ADgcDgQCgcs2fm9vL7q6uqiIpFAopKKRcXFxQZUlYxq8vT+a9+/DjluvhzK/AJdsCZ4RVbBAV84oKCiAzWZDaWkpDAYDpZxBV1EIhnJGpDGaSLKncZnD4VCkOSMjgxoLCGluaGiAzWaj8tjVarVPu0aRApv61aO6xY033ogbb7xx0Ju3bt2Kn376CStWDMgoRfuWAB0k3SIYEnBxEjXiJWrMCWI+MrH9JaS4t7eXii5lZWVBqVT6NREe7PwNVdpTkMfIcNOsNUG7XqYhWjUb3RUoSOW0SqXC1IUTcEx5ECa9FX21dkilUsYPnkxA7Xdfo6voGPY/eA9W75kPWbIIhjYTGvZ3wW5xgCcM/XfocDjQ1tZGEWMit6dWq5GTk+OTqxuHw4FcLodcLkdubi7sdjslS0YcxGJjY6nUjGh8DrzBSN9XbEYG+tpa0dvUiJaD+5E6d16Yrsw/8Pl8iMViCIVCjB8/3qNyBkm5Ibmt0fb8s4lMDQdv1S04HA6kUimkUillZuPuAOlwOKBUKql+Z5JxFwFrI8lDgTT44osvxoEDB/DYY49h06ZNsNlsUb+SJQhm4d5bFz8X8ERElAhItLi3t5cqusrIyIBKpQqKVeamU/8BANw8aw2UInlAx2MyooUk0xUoSL+TtJm8vLxBldHJU5So29MJi9aBvnYzVKoIXnwIEIoJdNod96D+h+/RVXwc++79M3IWb0DJ542w9tvR9IsWWfPig35Oer+2tbXBYrHAaDRCrVYHXW6Px+MhPj4e8fED7bBYLFRqRmlpKWw2G8rLy5GUlIS4uDjI5fJRQVTkmdkovHotyj5+H0deeBqXfv1DpC/JJ3irnEF2D6KhX0cTSfannZ4cIA0GA5XTXFtbC4fDQfU7Ic2R/k5ZKwHnDjqpcDgcVKewhRjTIRAIghZJBnyf3O12OxUp1uv16OnpgVAohEqlQlpaGlQqFUQiUcDXRceOmr042VMHMV+EP82+NqjHZhqY+sCS/FMSUaQrUHizGEqerEDdngHHuK5yA9LHhevKw4dgL264AgEWv/EuNi9biIbtPyDryssBDHzHtbs6gkKS3Sez7u5uqihLqVTC6XRi0qRJAZ/HGwiFQkqiyul0YufOnVCr1dDr9Th16hQ4HA5FrOLj46OuuNOX+2PmPfejYtM/0LR3N5r370XavIUhvLLAMRy5Gko5gxibAMMrZzABo4UkB4s0cjgcxMbGIjY2lir+JMXaWq0WNTU1AOAiMxgbGxvW75gIPrA6klxXV4ctW7ZALBbDZDLBarXCarXi0KFDqKysxPPPPw+AXekW9JzkQCLJOmM3lKKRV3J2u50iR3q9Ht3d3RAKhVAqlWFTIvjx5G4AwFWFlyJOog7puSINpkSSCXmiW3yT/NPk5GSf+51eaNZZ1gtcHoqrZh/UheMx876HcOTZJ9D4zdMAngEwYCqCR/w7ptFodMkrJhGehIQEjBkzBhKJBBwOB/X19TAYDMFrjA8gkkwpKSmQy+VwOBzo7u6mbJbLy8shFospwqxWq6NGycgbIhCbkYnxa65D6Qd/w+Hnn8bl324Pw5X5D2/HLH+UM5iwGBotJDlUpJGeapWdnU31OyHN1dXV1PxC+t6XVC5/QO5ZVpJkcsOWlJTgnnvuoSRoeDweJBIJxo4di5deegmXXnopAOZG5/xBsCTgln34O/SYDfjs9+9ieurpSBE9Ykgq1vl8PlQqFZKSkjBu3DiIxeKwfqcvn/8YxvKyMTuPmYYnwUSkSDKpXibkSa/XUzllarUaeXl5AUV4kqcoqd87yyJDvEKJUD4Pk/90B+r++y06fvsVMVI9zH1KNP+qg7nHihj5yMSQSLORCclkMlFOWxkZGRGz8fYFZAIlhjLEVbWrqwtVVVVUDjxRzYjGSnt3zLx7A8o/+Qgt+/ehad9upC9YHOlLGhb+btO7K2eQe5UoZ4jFYhfSHAnljNFEksPRTnq/5+TkuCjldHV14eTJky4Fomq1Ouikmcyz5JjR3r8eC/cuvvjiYaOpbErKJqDnJPtLprT9OlRpBra5MuQpLoV23d3d4PF4FCkeO3YsFVmKFDgcDmYlTkG8mN1RZIJwkWS6AoVOp4PFYqGKsjIzM4NKnuIKZOCLuLCZHNCU9wXlmExDqPqNy+dj8Zv/h6+WzoNU1ABznxJOuxP1+7swZkXKoPfTJxytVksVz6rVauTn57PCSYvP5yMxMRGJiYkATue9ajQaNDY2wm63U8QqPj6eEVv47pPySJClpWPCNdej5L130fDTDkaT5GBFILlcLkWGiXIGKQajK2eQvNZwKWecIcmhBZfLhVKphFKppBZL3d3d0Gq11A4Dn893Ic2BPtOEO7KFIw75FJBcl7a2NnR0dIDD4SAhIQGZmZlBz41lAoRCIaxWq9/pFg6HA7ur9gMAMqWpKD9aRt2gCQkJKCgoYMSEAgA12nqoxUqoxArGpCGEGqFs53AKFMEuynIHl89F4gQFWo7q0F1nhLnXipjY6NgeZwKU+QW4+D//hbYxCV/+8RcAQN3uToxZkULJMRFSTFJj1Go1UlNToVarWTkW0uGe99rb2wuNRoPOzk5UVVVBIBBQhDmapOZm3nM/xv7uKiTPmh3pS4kI3BdDpLjTk3JGKHcQRsPcAzBnMUDfOcrLy3NJt2pra0NlZSWVlkN+fA3m+bpoZTqGJMnV1dW4//778eOPP1JJ5ykpKbj55pvx5z//mXWTA91MxJsHl0wYdAOP72oH8ttmpE7BjBkzGEOK3XHHtw+huK0c7132ClI4cQGreUQDgtkPIylQEDfDcCFp8gBJBoD20m5kzg2+OkOkEI7nJ3HaDMhzreBwAacDOLmjBenlfOh0OkrYX6VSITc3N2hbk9FIDuj5jzk5OdRz0NXVRUnNyWQyijCr1eqw1K34811Kk1MgTR68W8A0hItc0Ys7AdcdBGJwEQrlDKaQx1CDqbvvdNIMnBYQ0Gg0aGlpQXl5OaW5TkjzSGmhoyKS3NTUhOuvvx5GoxFbt25Ffn4+LBYLNm/ejNdffx1GoxFPPPEEYzveHxCSPFTEkV5wRaTZnE4ndYPl5ubixbq/AQDOGTsfMhkzTTl+rj+Mn+uPQMgTYGLSOGjru6JywvYVgRRkuueTd3d3B12OLxAkT1ZSv7cXsYskA6EllIToabVaxBbw0XPCBt1JI+zdnJDvAkQ7eDweRZoA12hkWVkZzGYzRazi4+NDLk3l77H72ttg1uuhHss8aZhIkUhvlDMIcQpEOWO0kORoaSePx6PIMOA6PpJc9piYGBdDG/cCULbxiSFJcmVlJYqKipCaetq+c8OGDRCLxXjzzTfxxBNPwG63s4Ykk3QLYktNBgZCinU6HZxOJ5Xfk52d7SKtYnPYcKy1BABwVtq0SDZlWLy4920AwJqpVyBNngIdR8O6m9oTfN0uGkqBIlJFlsMhmWZP3VbSHcErYT7cJZPoC574dD16Tgwsbo1H+6CeOzpy9YMFd6k54hym0WhQW1sLDofjYp0tkUgifcmo+fZrbLtpLZKmzcDl3++M9OUwEt4qZ9BJs7fKGdFCHgNFtLaTvhAmuezEOr2hoQGlpaUQiUQupJlNwVNgCJIsEomgUqk83uhisRh5eXkAEDXSQN6ASMC988472LdvH8aNG4dLL72UIsUjFVyVd1Sh32qEPEaGsQl5Yb5673Cw4VfsrTsIAVeAu+bdAoA50mihxnDtpCtQkB+iQEFSKJiaOgMAiRPkABeAA2gv1kf6coKKYHznRqORIsVksatSqZCYmOiy4IlZr8KpnQcBAL+88QNm3jYN3DNRZL/g7hxGdmO6urqobVwiNUd+/J1PAhm/kmbMgtPhQMvB/YzUTWYiuXJXzvAUbaT3rVqtHlY5g2ntCwXYYq7B5/NdjIroCj8k5UokEsHpdKK1tRXx8fFRn5rrkSRnZmZiwYIFePTRR/Hcc8/BaDSCx+OhqKgIn376KVavXo3m5mbK+CA3Nzfc1x0wnE4nqqqqsHv3buzatQs7d+6EzWbDtm3bMGHCBFx55ZU466yzvF4RSYVSrJt9HZxwgsth5irqhb1vAgCunno5MhQDOwSjlSSbzWYXTVuiQEFSKKJBvotAIOFDmsFHX70NHeU9YbNWDhd8vT/phZTu0mzDLXYz5sSDy+fAYXOipz0OJf/3Nqb86Y5gNYMxiMTzTq+yp0vNaTQaVFdX4/jx41ShWHx8vF+FYv6QEFlKKsb/8VqUfvA3/PqXFxhJkpkOT9FG0rc1NTU4fvw4pZwRFxfnogLDFvI4Epi42AkG+Hw+EhISkJCQAGBg7G1ubkZVVRXq6uoQExMDuTy6nXw9kmSn04na2locPHgQX331FSZOnIju7m4UFRVBrVbjp59+wubNm2E2m5GVlYVPP/003NcdEA4ePIhVq1ZBq9Vi7ty5OOecc/C73/0Oq1atwpYtW1BaWoo5c+b4dMw8dRaeW/ZQiK44cBxu/A27aw+Az+Xj7nm3Un8fLSTZ6XRSRUZEgSI2NjYsChThgKJAiL56GxxWJ7pO9LqYjLAddFkjokFOCikLCgqgVCq9krMSSPhIO0uNxgMa2J3JOPzcBmQuXQZVkHNVmTBZRvoa3NUVTCYTZZ19/Phx2O32gRSY/6VmhNIAYfqf70H5Pz5A4+6f0PbLYcYpXkS6r3yFe98SSUyNRoPy8nKYTCZqQWQymaI+0ugN2ORANxwEAgG1CJo7d27U3bue4HHm4HA4UKlUuO6666hGCgQCLF26FBwOBzabDWKxGA6Hg3oQfMHevXvx8ssv4+jRo2htbcWWLVsogxIAuPbaa/Hxxx+7fGb58uX44YcfqP9rtVqsX78eW7duBZfLxapVq/D66697VTA3btw4bNq0CXPmzKEe0I6ODgADKyE2ksZjrSXgcXi4avJlyFKmU38Plg030+CuQNHf34+2tjYkJCRERIEi1JDnC9Gyox8A0FasZw1J9jTI0usFiDQb0SBPS0vDpEmT/C6kzF6QgMYDGgCA0ZiH3Xfciku+2wFulOsfMx0ikQhpaWlIS0ujagK6urooUxOS80p+6MQq0PFLnpmFsVdejYpPPsYvf3kBF/9rS6DNCRrYEIGMiYlxUc4gsopESpD0d7CVM5gENvSjtxgVOclqtRpfffVVyE7a19eHKVOm4Prrr8fll3v20T3//PPx4YcfUv93n/SuvvpqtLa2Yvv27bBarbjuuutw8803Y9OmTSOeX6VSYfHixS5/IzlTdrvdZxWEXrMBx1pLMS1lImJjmKlqcetZa3F+wRIIea7EkC2RZIfDQRVkEQUKoVBIuZ/V19cjNzeX2hZiGxQFp5+PtqJuTLk6ghcTZDidTheDFq1WC5vNFjTXQjqyFsZj34sDv9v5U6Cv/gTaynLET5wc8LHPwDtwOBzExsYiNjaWcg3T6XRUsVBJSQlkMhmVmkECI4H0/4y7NqBy0z9Rv+2/6Cg6hsQpzCi+ZsPY7A6JRAKJRIL09HSUlpYCAGQyGbRaLU6dOkUVeAaqnMEkjDaSzKa2DhsecX9Ah3pgfV01rFixAitWrBj2PTExMUhOTvb4WkVFBX744Qf88ssvmDlzJgDgzTffxAUXXIC//OUvLooc3oJEFUkk2Zeb+lDjUaz+7EaMicvFL3/60edzhwvZqoxBf4tWkuyrAkVTU1NUttNbKMbQSDILivfsdjt0Oh1aWlrQ39+P/fv3IzY2Fmq1GhMmTIBCoQhJtCJ9lhq8GC7sZge4sXOxetc6xGZkBv08Z+A96G5xwIDUHLHZJdv3AHDq1CkkJCRAoVD4PEkrc/NQsOp3qNn6H3SVFjOGJAPRl27hK2JiYpCdnY3s7GyqwNOTcsZQkmPRgNFEkumpJWxo87Ak2b2B4Wzw7t27kZiYCJVKhSVLluCZZ56hBsmDBw9CqVRSBBkAzj33XHC5XBw+fBiXXXaZz+ejR5IB327qI03HAAAz0qb4fN5Q42TXKVgdNoxPHOPxdQ6HQ7WZyRhJgWIko4doXQx4C6GCB2mKEH2tFrSXdMPpcILDjZ4BaihpNolEAqFQiFmzZoUlPYYv4iF9thr1e7tg6HDC7ogL+TnPwDcIhUIkJydTQRS9Xo9Dhw6ht7cX9fX1AECRqvj4eK+l5s5+/BnMe/oFSJM8B2ciAbaTK/f20Qs88/LyqLQ5uuSYL8oZTAHbUhCGw6iKJEcK559/Pi6//HLk5OSgpqYGDz30EFasWIGDBw+Cx+Ohra1tUC408R9va2vz65w8Hg9cLhc2mw2Ab9tcvzQfBwDMSp/q17lDiUd3vIj/nvwJL5//GG6etWbQ60wmj0SBgmyxB6pAwdR2BgMcDgfqcRL0tVpg6bVBV9cHdS4zU38I+vv7XRRGALjsBEgkEnR1deHUqVNhzR/PXpCA+r1dAIC6fV2YmiVF0+6d0FZWYPKtt4ftOs7AO5DI4tSpU8HhcCjHsNbWVlRUVEAkElGEeThSJUtL9/j3MwgdRloEuBvWuKuiGAyGIZUzmAS2L3boYFuRIvPuJgBXXnkl9fukSZMwefJk5OXlYffu3Vi6dGnIzisUCimS7HA4vFI7cDgdONpcBACYlTY1ZNfmD463luG/J38Cl8PFktz5Ht/DJJJstVqpYjutVuuiQDFu3DgolUq/FSiY1M5QQT1OgsZdegBAe3E340gykWYj0WKz2QyFQkFJsw1VsBPufstaGA88O/B7/d5OpE/R4/vfXwYOl4vkWbOROGNWWK/nDIYH/f7gcDgukUii49rV1UWRKrlcTqlmqFQqjxN6+9FfII6PhzwrJ5xNGQS2kytf2+eNcgapVYiLi/NLSjAUYHs/0kGPJLOhzYwkye7Izc1FfHw8qqursXTpUiQnJ1NqFARkhTlUHrM3EAgEPkeST3TWoMdsgEQgHjKlIVJ4ed+Au97qCRchP87zYB9J8kh84glx6u3thUQioQw8gqlAwXaSzOFwoC48va3cVtyNwkvTInhFrtJspH+lUinUajXGjBnjlTRbJAbZtBlq8MU82Ix21O3rwsr/W478y69A9eYvsGv9LVi142fwGeAWdwau8HSvuOu4Eqk5jUaD4uJiWK1WilCRIsBfXnoWR154BuOu+iPOfee9cDfDBWwnV4G2bzjljMbGRkpKkKRmREo5g+39SMeoiSR//fXXMBqNsFgssFgssFqtg/41m8147rnnQn6RTU1N0Gg01IMwd+5c6PV6HD16FDNmzAAA/PTTT3A4HJg92z+NSw6HA4FA4JKT7A1IqsX01Engc5mz5ihpq8C3J7aDAw7unX/bkO8LJ3kcSoGCpE+oVCq/pbtGwuggyacLWiLhvEek2Qgp1uv1VBpUeno61Gp1yPo3mOAJuciYo0btrk70NhuhO9WHec//BS0HfkZ3TTWOPPckzn7mxUhf5hn4AU9Sc4Q0V1dXg8fjQZg1YI514t+fYdaGh6DIjj6zrGhBsMdkunIGvX+1Wi1qamoo5QxCmsOlnMG2PN3hwLb86yFZ3WWXXQahUAiRSAQ+nw8ejwc+nw8+nw+BQACBQAAul4tnnnnG5y/EYDCgurqa+n9tbS2OHz9Oyb48+eSTWLVqFZKTk1FTU4MNGzYgPz8fy5cvBwAUFhbi/PPPx0033YR3330XVqsVt99+O6688kq/lC0IiDU1AK9l4Kh85DTmVEMDwIv73gIAXD7hAoxNyB/yfaHUSaaTJm8UKEIJtpNkAJCmCCFSCmDSW9FW3B2Wc5LtTtLHNpsNKpUKarUa+fn5QZmEItFvWQsSULurEwBQt68T06/NwaJX38J/r1qF0r9vRPb5FyJ1vv/ubJG8F9n+HHgLutQcUVYghkPy6TPR89uv+O6B+zDt8WcoUhXufFe2RyBD2T5P/UuUM9ra2lBZWTms/nYwwbbo6nBg2z075BMvEAiwb98+zJoV/Py7X3/9Feeccw71/7vvvhsAsHbtWmzcuBHFxcX4+OOPodfrkZqaimXLluHpp592iUJ9+umnuP3227F06VLKTOSNN94I6LoEAgGsVqtPxPFPZ12LyUmFjFK2KG2vxNbKbeCAg/vmrxv2vcEkj4EqUIQSbHpoPYG0L2myYkCZoc0EQ4cJssTgDvo2mw16vZ4ixX19fZDL5VCpVCGVZgs3shfEU7/X7+3C9GtzkLHkPBRecz0q/vEBdt/5J6zedQDC2Oi2XGUDyPgV6DPO5XKpQI3s6Rew+cJzoftpG/pv/hM6OzthNBqhVCopQhWOe53tC5pwEqpIKmewjTgOh1ETSQYG8nuA4fWS/fkyFi9ePOzD/+OPI2sNq9Vqr4xDfAGdJHsbSS5MLEBhYkFQryNQNHY3I16ixvys2SNeW6Akma5AodPpqGIslUqF9PR0yOVyRjwwoyGS7HQ6kTxZSSkztBd3Q3ZuYCSZniKj1WrR09MDkUgElUqFnJwcqFSqkCpPRGpiSZmugkDKg7XPjvp9ndQkN+eJZ9C0+yf0NtShZstXKLzmuohc3xmEFqlnz0fqvAVo2b8PfT9+h4UvvoL+/n4qNaO+vh5OpxNqtZoqApRIJCG5X9lOriLVPnflDFJYTFfOkMvlVHpGIMoZo4kkk7ayZb4d1OOkgTwej8rPjaRecrhAcpKtVitEIlFUd/CKMUtRvH4XDJa+Ed/L4XB8chikK1CQSCJRoBg7dmxAChShRjT36UigIsk0O+q2Yj3yzk3y6ThkN4BEiunSbMnJyRg/fnzYxfwj0W88AReZc+NRs6MdhnYztNUGxBXEQiCV4Zy3/g99ba3Iu8SzW+gZhBehuj9m3fcgvt6/D2X/+AAz7t4AaVIyJBIJMjIy4HQ60dPTg66uLrS1taGiogIxMTEUYY6LiwtKFJLt5IpJ7RMIBIOUM0g+M105g0SZfVHOGG05yWxq65DLIofDQTkZjRaQnGSJROLVwLujei+ae9uwKHuuRze7SEIqlEAqHLkCf6QVH12BQqfTobe3F2KxOGyRxGCBTSvboeB0OpE8RUX9v93LvGSr1eqSV0yXZsvKykJsbCyrBj1vkbVwgCQDQN3eLsQVxAIAkmfPjeRlnYEHhOL+TF94DpJmzUZfSzN6ak+5mIxwOBwoFAooFApq656oKpw6dQpFRUWQy+WUaoa/wYPRMGYxdWyJiYlBamoqVedE30loaGhwUc6Ii4sbcpwkfciEHdVwgPWOe+SmTUtLoyJGDocDDoeDkSLdwQSRgPM2uvrhb5/j2xPb8ex5D+L2OdeH4QqHR7WmFuUdVbho3Hngcrx7IN3JI9leJ7JsPT09EAgEUKlUSEtLixqFAnewnSST9sWPkVG2ym1Feo/vJQsfQorp0mxM2w2IZL9lL0igfq/f14kZNwyWUTR2duLkV//CpFvWeT0hMGHiYMI1MB0cDgfnv/9PSJKSwRshKszj8Vyk5kgUsquri5KaU6lUVKTZl4Unm/uKySTZHUQ5g+wkuCujkJx2QppJ+k2wcuajBazPSSaNq6mpgcPhwIEDB7B//34IBAKkpaVh5syZyMmJrMB6qCAUCmGxWLwu3DvaUgwAmJE6OdSX5hVe2PsmvijditvOWosXlj/i9edsNhsaGxsp2S4OhwOVSoXExMSwKlCEEqOBJAMAl89F4ng5Wo/poT3VB3OvFUIZHwaDgVr40KXZQi29F81InqJAjJwPc48N9fu6Bk3o1r4+fHXufPS3tUKSkIj8Vb8L2bU4HA7KGEOn00EkEiE+Ph4KhYIxC5pIIZTPdWxGpl+fo0chicpPV1eXi9Qc3Tp7KFWFaCKR/iBa2+eNcoZQKIRarYZKpaI+MxowatItAODWW2/FJ598AplMhq6uLigUChQWFuL1118PiepFpEFykr2JJLf0tKG1tx08Dg+Tk8eH6QqHRlVXDb4q+w4AcOXky4Z9Lz3nVKPRwG63Q6PRQK1WR1SBIpRgO0kGTpOF5ClKtB7TA07g8NYicDKMlMpIXFwcCgoKQlZkxCZw+Vxknh2Pkz+0oa/TjK7KXiQUnlazEEilKFxzLY6+/Dx+fvBepMxbAGlyStDOb7fb0dPTQxFjUjSpVCphMBjQ2NjoUjwWHx/PigWtPwh1mx02G6q+/BdyVlyIGIXSp89yOBzIZDLIZDIXqTlieFFWVgaJROJinU12bUfDmMWG+3U45YzGxkYAwKFDh6j+DaZyBtPANrm7IdMt3nrrLfz000/YsmULli9fjoyMDBw4cAB///vfcd999+Gzzz6jzD3YAl8iySSKPD6xwKvc31Djxb1vweF0YEXBEkxNmeDymicFClK1K5PJ0NHRgalTp0bmwsMENgzEw8HpdKK/vx9VVVUwxmqpv/fVOTD3gkmMURnxFZHut6yFAyQZAOr2drqQZACY9ud7Ub/tB3QVHcPeu9bh/E1f+X3NDoeD2qYnuuJkcZOYmIjx48dDIpFQ/UiPXjU3N6OiooKSsCLb+jweL+LfYagRDiL5/Zrfo+6H7zD74ccx694HAzoWXWquoKCAqgnQaDSorKyE0WiEQqFAfHw85QDLVrCFJLuDvlOQnZ2Nn376Cfn5+eju7nZRziBFgIEoZzANJN2Cw+Gwom+HJMmffvop1q1bh+XLl8NiscBut6O1tRVPPfUUMjIy0NraipSUFFbd5PSc5JEG3l+biwAA01Mjr49c2XmSiiI/uOgOl23ZkRQourq6Bll8sxFsiyS7S7N1d3eDz+cPmLQsykblmwOLOHsLH0qlMrIXGyAi2W9Z82l5yT93YdYteS6vcwUCnPPm/2HzeQvQ+NMOVP7zI59k4TzpTstkMqjVaqSlpQ07edKjV7m5ubDZbBTZqqiogMVioXYPEhISIJPJonKh5A1CPQcVXH4F6n74DkXvvo2pf/ozBEG0JRcIBEhKSkJS0oASjdFopFIz+vv7UVJSgtbWVop0hcslLhxgE38YCtQOX3IyVQRIFsMajQZlZWUwm81h1+AOFVgfSSbQaDTUQ8vlcim3PWDgSyDOdGwCUbfwJt2CRJJnMsBE5IU9b8EJJ85JPxvWZiP2Ve7zWoGCbeRxOERzO0mkmOQV63Q6yr0wJSUFIpEIIpEIeXl5sKTbAE4x4ETYnPdChUhPoEmTFIhRCGDutqJh/+C8ZABQjR2HWQ89jkOPP4SDjz+EtIWLIc/2XLdht9thMplgMBhw7NgxanGjUqmQmZmJuLg4xMTE+DzJEAlLQrYcDocL2Tp16hR4PB7UajUcDgcsFsuoICjBQsFlq3H4uSfRU1eL8k8+wpSb/xSyc4nFYmRkZCAjIwP79++n8po7Ojpw4sQJCIVCl3zmaN62Hw33oKfCPfecdaPR6JdyBhPBtj4dkiRnZGSgubmZUrXgcrloaGjA3r17kZeXR1XxsunL8NZxz+F0oKi1FEBkivboChS/NRTjPxX/BQBcN/Z3VPTJW3vN0UKSo7GdFouFIsVarRZWq5UyasnOznYZOA0GA9U+oZSPuAIZNFUGdJb3wG51gCdgz8o+nODyOMiYo0b1j+3o77JAU9WL+LGDXfYm3fwn1P/wHVoP7scvLzyNpe9+AGDgWSUmBWRxQwIMJHqUmJiIhISEoFricrlcSKVSSCQSqNVqdHZ2or29HW1tbeBwODhy5AhiY2OptAyVSjXqCwCHA5fPx/T1d2P3Petx/M1XMfG6m8ALk/SlVCpFYmIicnNzYbfbqVqS2tpaFBcXR3U/so1QecJI6hYcDsdv5QwmgqRbRNt8OxQGkWTyxS9ZsgTV1dVob29HSkoKkpKS8MADD6Cvrw9/+ctfkJeXN+hg0Q6hUOhV4R6Xw0XR7T/ht5YSjE0I/fdAqqPpKRREgUIcK8HExHHIUWfikrMv9PnYvpqJRCuigSTTpdm0Wi0MBgO19T5u3DifpNmSJyuhqTLAbnGgq7LXxWQk2hDpfsuaH4/qHwf0kut/1ngkyRwuF4te34jid17HjAcfo/pQr9ejp6cHYrEYarUaY8aMQVxcHLhcLnp7e6HRaNDa2ooTJ05AKpVSk6BKpfJ7y9JisVBpFxqNBlarlUrfIMV99O3epqYmOBwOlwJAJk/C7gjX/THuD2tw5MVn0NvUiJNf/QvjrvxjyM/p3jYej0f10dixY136sbS0FBaLxSUCKZfLGd2PkX62wwFf1R48KWeQeYFuXEMnzcFcYAcK1kvAkc685ZZbUFpaSklD/fGPf4ROp8Mtt9xCpWGwDd5GkgFALVHh3PyFIbsWo9HoEn2y2+1QKpVUCgVRoJiESTh/6lL0Wgx+nScayGMwwMR2kogBPa9YIBBArVYjMzPTpwpo9/YlTVag7MsmAAPOe9FKkpkwwWfOi6d+r/+5a5BeMjFe6ubyIL/6OvxSXAKn00m5FE6cOBFisXjQxEGvhifFW11dXSgrK6OIrTeRI3oBn0ajQXd3N2QyGeLj4zFx4kSPzmAikQhpaWlIS0ujdqYIYa+srIRIJHIpAOTz+Yzoi6EQjmvji0SYctt6HHzyERx97S8Y+7s/gBMGMjBc2zxJzZH7oKamBlwu16Ufw+2WORJGSyQ5ENJI0upUKhWlnEF2ExoaGlBSUuKywFar1RE1+GJbnw6ZbhEfH4/FixdT/1+/fj0AQK/X44cffsDUqVORnJw8xKejE/RIcrgJFX1rna5AoVKpkJ6ePqw6AYfDgTwm1q/zsmlbZDgwhSSbTCYXdzuHw0GZDIwZMyagCB69fcmTldTv7cXdwNWBXvnoRcpUJQRSHqx9djQeGMhLJsWxJFrc39+P2NhYSntaoVCgbut/kD7xUq+25en5xHRd3c7OTlRVVVGklUyCNpuNMqvQarXgcDhQq9VIT0/H5MmTfYoscblcyj0uJyeHaptGo8GJEydgMpkotYX4+PioVUoJBiZdfzOOvvoyxPEJMGq6IElIDOn5fCEcdKm5rKwsKgLZ1dWFpqYmlJWVQSwWU4Q50mQKYB+h8oRgt5G+mwDARR3l5MmTLsoZkUjBGVU6yQT9/f1oa2vD7t27sX37dmzevBlbtmzBBRdcwKrQureFe3d9/xgUMXLcPOuPSJX7t1AYrqp97NixUCgUw0rClLZX4oeTu3DLrDWIjZH5dQ0Ac8hjqBGpdtLJlE6ng9Fo9Hrx4wvc25c85XTkuK1YH/DxI4lI359cPhfps9Wo/akTva0m/Lz1COxyI+VEmZ2djbi4OAiFQqovt998Lao3f4GZGx7GrA0P+XQ+d11du92Orq4utLa2oqysjJIFI8R52rRpUCgUQZmYSAFgYmIiEhMTqaIiQsZra2tdopPx8fGIiYmJ6KQYTqIllMvxh4O/QZaaFpbzBXLv0yOQRGpOp9Ohq6sLVVVV6O/vh0KhoPoyEooKZ0hy4HBXRyGBGJKCE27lDBI5Z60EHIHNZoPZbMYvv/yCzZs347vvvoPBYMD555+Pbdu24eyzzwbALj9yIgE3XHTVZDPjH8e+gM1hw/UzrvL62CTflOQU9/b2QiQSQa1Wj6hA4QnP73kD357YjlpdA96++HmvP+eO0UKSgfCQLbL1TaLFvb29lNJIXl5eSPUw6e2TxMUgNk2M3mYj2ku6R8VkFEwQBQiywEFGH/WauYaPOTfNhEwmGzJCk33+haje/AV+e+VFZC9bgYSp03w6P1EzIdFinU5HTYaxsbFwOBzQ6XRoa2tDZ2cnNQESsh4skKKizMxMZGZmUuOYRqNBfX09SktLIZPJXIwwoqlwzB+EiyATBOu5pS9+AFCKCl1dXWhoaKDy0klfhktqju3jUrjHXpFINKRyRn19PdXPpK+DrZzB+kgy6dCvvvoKjz32GFpaWrBgwQI888wzuOKKK1gjeO0JQqEQPT09w0aSS9rKYXPYkCCNQ4Yidchj0RUodDodJfVE1z/1N9m+qLUM357YDg44uGPODX4dg2C0kORQtZOQGRIppkuzpaamQq1Wh6WowtOglDxJgd5mI8w9Nujr+qHKkYb8OoKNcA62NpuNKpDR6/Xo7e2l1CEmX5iP2o8HZB/7KwGFYvgc7/zLVqP2u29Q8/Vm7Fx3E1bv/Bn8Ee4DeqRPo9G4FGGNGTNmEGmhb6nTSStd7SDYUSMiI6dWq5Gfnw+LxQKNRgOtVovS0lKXXOqEhAQX85NQIVLjl1HThdofvsP4q9eG7ByhJFhisRjp6elIT0+H0+mk8tJJio9AIKDuIyJNGGyMhsV7JHfbPSlnEH19unIGSb8JhnIG63WSyU27c+dOnDx5Eq+++irWrl0LqVTKaoIMeGcmQvSRZ6ROdrmRhlOgSEhICDjflI4X9r4JAFg98SKMTcgP6FhnSLLvIOoBhBgTaTayKxAJW29P7UuarKDc4tpL9FFJkoHQkSCiJUx3uCPPbGpqKuLj4yESicDlcmHPc+A7USlsJgfq93eNeGwOh4MFL72KloM/Q3eiAkeeexJnP+W64+N0OgcV3BF74sLCQq9yCelb6nTSqtFoUFxc7JLzHuzCLQ6H41I45nA4KOmqjo4OnDx5ktL0JecXCAQheTbC/bxZenrwz2njYentQfyESUicOj0k5wnX2MzhcCCXyyGXy5GTk+NSHFZXV0dJzdHz4oOxYzAaSDKT2kjvZ7pyhkajcVHOoPezr0EeEklmC68YUt3i+uuvR19fH5566im8+OKLOOecc3DhhRdi2rRpSElJiXoXL0/wxpb6aPNpkkwUKMiPzWajFCjcdWyDhd9aSvB91U5wOVzcv+D2gI/Hppt5OATSTrvdDr1eT22906XZCgsLoVAoGLHF7N6+5Mn0vORujFsZ3m1ipsHhcMBut7vIs5lMJqrgLisra0iZPZ6Qi/Sz4lC3txPdDf3QN/RBmTn8okMcF4/Fr76D/169GkUb30T2+RcibsYsisRqNBo4nU6o1WqkpKRQKhiBQCgUIiUlhXJDdVetoNtWB7ugh8vlukzAdKJVXV2N4uJiqqAoPj7eo+pGtEAolyP7/AtQ9cXnOPraX7Dio00hO1ckCJZ7cRh98UUc4sguBynm9Oc6mUQgQwUmt5G+yAbgcXHkq3IG6yPJpDPnzJmDOXPmwG634/vvv8fHH3+MO++8E0qlEtOmTcPdd9+N2bNnM/oG8BUj6SRbLBYcafwNACDuFuDQoUNUEVZqampYCh9e2PsGAOCKiRejID434OMR8simfvQEX9pG35IiqTJEmi0rKwsqlYpxLlee2pc0SUn93lEanc57gd6Tdrudim7qdDr09PQgJiaGyhEng743z23WggTU7e0EANTv64Ly6pEj85nnLUfO6t+j9st/4Ydbr0f6S29A8T9yMWXKlJCOGe7RweFsq4Odg8rhcMDn85GQkICEhAQ4nU6YTCYXVzEALgWAIpHIb6IVCUz/872o+uJz1HyzBbrqk1DlFwT9HEwJYLgvvuj58rW1teBwOC558RIvbbvZPu8A0ZWjO5xyRlVVFfr6+kZUzoim9nqDYfMnHA4HeDweLr74Ylx88cUAgG+++QYvvvgiSkpKWEeS+Xw+pZPscDgoBQoSQWzTd6Cue0B79oLp5yErKTOsKShHm4vw48nd4HK42LBgXVCOSfqOTf3oCSNFko1Go0teMdmmTkhIwNixYyEWixn//bi3T5klgTCWD0uvDW0l0UmSAd+IgsPhgNlsHtSXCoUCCQkJGDduHGQymV/ENHt+PPb87/e6nzsx5eosj+8jBILk6govuQLK+jpMvvM+FJyzJGILLD6f76JaQb/OmpoaCAQClwK8YMqDcTgclxxY+jZvU1MTysvLqVQTegGgL/Jn4Ub8hInIXn4B6n78Hsfe+CuWvPFuSM7DtHGHw+FAKpVCKpUiMzPTpS9bWlpQXl5O7ViQn6HuJbbPO0B0t9Ef5QzWR5LpIA3t7e2FyWRCTEwMVq5ciZUrVw56DxvA4XDQ3NyMV155Bb/++iuuv/56TJkyhTLw4JqEUBTLoRYrkZcWeBTXV6glKlwx8WLE8ITIj8sZ+QNegE6S2Qx3kmy1WikJPq1WC5PJBLlcTuncxsbGRtW97WkQ5nA5SJqoQONBDXoajTBqLRCrmRUBDwaGklNUqVSYMGFC0BRF0mbFgSfkwm5xoIGWl0xSOAjhNBqN1MSRl5c3kKO+YkXA5w8m3IkOSSnSaDQ4deoUSkpKXFIjgu3cRt/mdTqdLhGr8vJyKsodHx+PhIQESKVSRj6PM+66D3U/fo/Kzz/FWfc/AllaelCPHw0Eyz0vnr5jcfLkSRQVFUEul1N56fQ0m2hoX6BgE2l0V84gC22tVkspZzidTrS3tyMmJoZRToD+YtiZw2az4YcffsCXX36J7u5uxMXFYdGiRTj//PORkJAQrmsMGex2O44ePYqffvoJO3fuxJ49A3EihUKBSy65BCtXrkRq6mkFi0Qkov7eX6E16iJyvTmqTLx32StwOINnI00frNgMp9MJi8WCU6dOuUizqdVqFBQUQKlURn1hqqc+TJo0QJIBoL20G9kLo+u59TSBOhwOanAm6TBkos7IyKC0e4M9MQnEPKTNUqNhfxe0NQaUH6mCkTegYEM0iwsKCqBWq4e9l7SV5RAnJEIcFz/ke8INHo9HRYMADEqNIGYlobDB5XA4EAqFSE5ORnJyMtW/ROWjurqaSndKSEigZO6YsMBPmT0XqXPnoeXgfhzf+CbmP/NiUI8fjeMyfccCGLiXSF82NjbCbrdT99JwfgRsAVsXAu4LbZKmeOTIEfT09KClpQVqtTrSlxkwhmUFzz77LJ599lksXrwY9fX16O/vxy+//IKdO3fizTffRGysfy5vTMDrr7+Oxx9/HBwOB+eccw4uvfRSnH322dizZw9effVV9PX1uRBkAg6HgzhJZDueywne5M+EiSYUoEuzkR9gQPYoUAk+JmKodJIkWvFee3H0kWRgoC/NZrOLwx1xpCSKIqEuniSKJpIxTmD/wN9qdrdhypXZKCws9DoHs+rfn2H3XeuQtfwCLHv/n4ydPOm21U6nk9pOb25uRkVFhUsxj0qlCuqChMvlDjJTIcVEp06dGlQACEQ2JWHGXRvQdvQKOENE+Jh6j3gLkUjkIjVnMBjQ1dWFrq6B3ZjDhw9TebDhkswMJ9hKkt1BaiC4XC4KCwshl8sjfUlBwZAScMRZ7/3338eaNWtw++23QyqV4oUXXsDixYvx7rvv4r777oPdbvdrctq7dy9efvllHD16FK2trdiyZQsuvfRSl+t4/PHH8fe//x16vR7z5s3Dxo0bUVBwujhCq9Vi/fr12Lp1K7hcLlatWoXXX38dMtnIDnRLlizBvHnzMG3aNOr633///REl4CKBw42/4YOjn2HDgnXIi8sO6rHZRJLpREqr1VJqI2q1GrGxsdDr9ZgwYUKkLzMkGGoQTp5EU7go0YfpagKH3W5HT08P2tvb4XA4sH//fsp8hx6tDdU2JjGFocuzyWQypJylQOWHA5F5TpMMmZmZPh1XNXYcnHY7Tn2zBSe/+Bxjfue9IVGkwOFwoFQqoVQqkZeXR6VGdHV1oayszEUbORg6q+6gFxORBRPpl2PHjsFut4PD4aC+vh4JCQlhrx/IPHcZ1hadgDQ5JejHZhvB4nA4iI2NRWxsLLKzs/Hjjz+isLAQPT09lJoC3ZwmlOZL4QLb+nAksK29Q9595eXlUKvVuOqqgUGcDEIcDgfTpk3DsWPHAPhPrvr6+jBlyhRcf/31uPzyywe9/tJLL+GNN97Axx9/jJycHDz66KNYvnw5ysvLqZXm1VdfjdbWVmzfvh1WqxXXXXcdbr75ZmzaNLIcz6RJkwb9jahbeJKA05t6sPDvl2BqykR8cPmr4HPD9+A+t+d17K49ACFfiDcvejaox45mkkzyKAkp7uvro+S8xo8f7xJdbG1thV6vj+wFhxie+jChUA4OjwOn3Yl2BhfvORwOqiiEFNw5nU4qL9VsNsNgMFCmPMQSOpggKQbEgpmkGKSnp2Py5MkQiUSwTLZhz/paOGxO1O/v9PkcCVOmYeZ9D+HI809h3wP3IHXegqDnsYYa9GIeog/f1dVFmVCQ1BMiGRVMkkMMV8himNwjQqHQo8wdOX8oJ20OhxMSggxE57jsLUjbVCoVUlIGvj+yY9PV1YXy8nKYTCZKao4UhkUbAYukmUgkwLb2Djl6ERk0MsDFxMT8P3vXHd5kub7vpEm60pHZRRfdFGjLKluWguwWVNyiogfXcYtHPXrc67hxK66fCjIVZMkeZVNaCi0tdNOR0d0068vvj5739UtIS0eSpmnu6+p1QZvke7983/e+z/s8z33flKHa0NBA9Tx7esNef/31uL4DMovJZMIHH3yA559/HgsWLAAA/PDDDwgKCsLGjRuxZMkSnD9/Htu2bcPx48cxatQoAMDHH3+M2bNn491337XaKnE1dCYBd6YqD6X17coWjgyQs8pOYG/xYfC4PDw5cbnNP59cv/7QG8aWZlOr1WhoaICnpyfEYjGioqI6ZeT3t4m1u+jo/HheHpAm+EFxrhHK/CYYtEbwPPte0xlo5zyQYKeurg6tra3w8/ODSCTCoEGDrugTJ4QgksE0GAzUKEMqlXZbY5hsski/ZGtrKyUYRUVFWSWrCXx5CB0hQsUxNZT5TWipbYOvvHvl4bR/PoHSndtQc+IYdj90H+at2wxOP11UOByO1dYIpVKJwsJCaDQaBAQEUNJWd7XjyTNPyvONjY3w9fWFVCq9QkLPZDKZkcby8/PR1tZGN1oSiYSWg+0FRe4ZaJQKREydYbPPHEhzF7s33VKBhUjNsa2zu9rm1Jdwtczq1TBgJOBIlqCsrAwREe1SZ5cvX8a6detw5swZvPjiiwDso25RXFyM6upqzJjx90QTEBCA9PR0ZGVlYcmSJcjKykJgYCANkAFgxowZ4HK5OHr0KDIyMrp9XD6f32Em+Ux1HgAgJdix5frX97XrIt+WugiRgfbJODlbewkbRJqNBFJAe+ZBLpcjMTGxy6VVZz5HW6Gj8wsaFgDFuUYwBhOUBU0IHh7o2IH9D0aj8QrCHY/Hg0gkQmRkJKRSKQQCQYdziqWEGeltrKmpQUFBAXx8fGjAbM2owlLfta6ujlrvsjWTr4aICVJUHGvvcS89pMSQjO49l1weD9NWfoXfpo5D5YF9yP3qMwy/3zaSjn0NS51V4mhI9HTZBEFCwLOEXq+n71GpVDAajZBIJAgLC6MZfWvgcDhXZLnZQdalS5eorTYhAHp6etpsQb+05Xf8eduN8I+Kxm3Hc8G1QQbdlecskpjp6Pu3JjVHWqCqqqpw/vx5WrUgVQNn068HBlaQTDwXXDqTTC7m0KFDER4ejgMHDuDWW29FREQE3n77bVy4cAH//Oc/sWDBAhiNRrt8GdXV7Va6RJuPICgoiP6turqasmfpyfB4EIvF9DXdBZ/Ph06ns5pJzq46CwBIDRnao8/uCQ6WHsX+kizwuXw8OfEBux3HmQJIUk4lgbFWq0VAQABEIhEiIiJ6LM3mTOdoD3Q2CQcNC8DZ1eUAgJrcBocFyQzD0P5VQrgjFt4ikQhxcXEQCoU94jSwexujo6PN+mRzc3Mpg56I3ZPFVafT0fJtfHx8jww0oibKcPj9CwDa9ZK7GyQDQGBMLMa99DoOPP0ojrz8AiJmzERgTO8s5p0RHWkjl5aW4uzZs9Tq2MfHh/YaNzQ00GzxsGHDeuzM15nMXUlJCXJzc+nxbeFAGD51BrwkUjSWFOPiHxsRl7G4x59FMBACrK6eH5fLNeuNJ5UopVKJoqIiNDc3IyAgwG6E0p7C1TKrnYGsseR7d4Xz7nCrm5ycjFWrVtGTnj9/PhITEzFx4kS6W3MGK15bwtPTs0Pi3pmqcwCAlBDHZZLf+F8W+Y60GxAe0P32ka6iLwNIsnCSQKqpqQm+vr4QiUSIj4+3qTSbqwfJnWWSCWpyGoBb7TcOo9FIr2ddXR2amprg4+MDkUiEhIQEahJhc3m2/2UQ5XI5GhsbUVVVBYVCAYWivW+YbKDDwsIgFot7dfyI8VJwuICJaXfe6ymSl96L8t07ETR6DPyjbKN77sxg6+lGRkaitrYWly9fRllZGU1KCIVCxMTEIDg4uNcW3ZZgZ7GJJCTJMufk5MBoNJq173R3A8X38cHwZf/AsTdfxamP3kPswkU2CRJcIdCwBjJf9fT82I6OgLlsYU5ODm3HIpsgoVDYJ9/lQNjoEPT2mjojOow+iHMV0O4g5evrixEjRkClUkGr1cJkMlGyjZ+fX7dZ3p0hODgYAFBTU0Mb+sn/U1NT6Wtqa2vN3kf60cj7uwt2JpkdcDRqm1CkLgYApDkoSN5fcgQHS49B4MHHExP/YddjWWsvsRcI0YdN0CIl90GDBkEsFsPT09Pmx3X1THJnCDJTuLAteY9hGDO3QkKODAwMREhICIYNGwZvb2+7ZnTYagcqlQomk4lKw0kkEvB4PLNeZlK+J4tndyWnPP35CE4Roep0HWrzGnps0sLhcDDrx9UutaB0BEvpr4aGBtoeExMTg4CAALS0tNA2i4sXL5oR8Hqb5bUEh8OBp6cnNUZgGIbyHUj7DlFTIa0ZXSEADrv3Hzj14X+hyD6FyoP7MGjSlF6N05XnLFsHVJayhcSOnmSaeTyeWauPo6TmXK39oDOQza4rnW+n6hYPP/wwJBIJdDodjEYjjEYj7TkhJYT6+npMmjQJ7733ns0GFR0djeDgYOzatYsGxY2NjTh69CiWL28nr40bNw719fU4efIkRo4cCQDYvXs3GIZBenp6j47LVrdgt1vkVLdnkcMDQh2mkZwSnIx/XfMItAY9wvztw5wmsHcASWyCSSDFlmaLiYnpUcm7u3D1ILmz8/OVesIv1AtNl9tQk9vQq8wGwzCUnEWup0ajgb+/P22JCQwMtGuViWEYWjZXqVRoamqiurmWZC4Cdp8qIYIRNQRS2rd0A+sMEeMlqDrd3iNfflSJ+Ot7VulhXwdDWxtaqi4jINrxbp72ALsFRqVSwWAwQCwWIyQkBEOHDr0iU+zv7w9/f39ER0ebEfDOnz9PHfhI0GzrOYPL5SIgIAABAQGUgEiOf+HChSsIiNbuMQDwlkiRdOudyP36c5z68L1eBcmumJVjw57nZyk1xzAM1douKytDbm4ulZqzhwoLG+5Mcv9Gh3eFp6cnLT0B7aUNyx8+nw+DwYDExMRuH7i5uRlFRUX0/8XFxcjOzoZYLEZERAQeffRRvPrqq4iLi6MScKGhoVRLOSkpCbNmzcKyZcvw+eefQ6/X46GHHsKSJUt6pGwB/E3csww4tAYdUkOGIlYc1aPP7QkCvPzwzOSHHXIsWweQxCaYBFJsabbk5OQOFxh7wpUe2o7Q2TUMGhaApstt0Dbo0VDWisBI3y5/rtFopFk+QrgTCAQQiUQYPHgwJczY85qyCVhqtZqWziMjIzskgFkDEbz39/fH4MGDzUhiubm5YBgGYrGYBkMdZZsiJ8hwdGX7/FV2WNXjIJmg/mIRtt2xBIxOhxv2ZoHv2/Xr4yxgZ4tVKhXq6+tptpjYg3f1HrEkabKv/8WLF8Hn880IW10hXHYVHA7niuMTAiLpZyYqC6Q1w8vLi84xqQ8+grPffomyXTugPJsL6dAr5Ua7Ox5XhCMDKi6Xa+YoSZ57sgmzpwrKQAqSr0bG7I/oMEiOi4vD+vXr7XbgEydOYOrUqfT/jz/+OADgzjvvxHfffYenn34aLS0tuO+++1BfX4+JEydi27ZtZovW//3f/+Ghhx7C9OnTqZnIRx991OMxsSXg2AHH9JhJmB4zqcef2x30xU7MGlGxOzCZTGhsbKSZRbY0W3R0NEQikU0XsZ5gIGSSO0PQsEAUba8B0E7e6yxIZhiG6pUSwh3J/kskEiQkJMDX19eu2WJ2Jk+lUkGj0dDjx8TE2Ky/kM/nm0lOkSwz21mOBELszV34WAn9jLLDPe9LJvCWSqFrakTL5UpkvfQcJr/zQa8/0xFgy/IplUpqLBIUFITk5GSb9BV3RsC7dOkScnNzaSXBHlq6HA4HPj4+8PHxQXh4uFnffXl5OfLy8swNMAZFIGZBJi5nHUJzZUWPg2RXnq+Avs06sp97AGY26CUlJTCZTGatGb0xyBmIxD1XOt9O6wvWHlJrv+NwON3+UqZMmdLpJMDhcPDyyy/j5Zdf7vA1YrG4S8YhXQVbAq6vdIP/vLAL7x78DC9OewJTosc75JjdDSBJZoVdcgfapdmCgoKQlJRkc9JNb+HqQTLQ+aIazLanzm1AwlzzzKfBYDAj3DU3N1MCZVJSkl3LkWTspIeQZKyJvBPbYc+esMwys4ldZ86cMVs4pVIpJHFCqAqbUXlSDb3GCL53zzcNngGBmPbJF/gjcy7yVn2FqFmzETH9OhuenW3ANg9RKpU0WyyRSLqdLe4p2AQ8wJywVVZWBgB27T0lMnKkXYydlTx79iz0ej38l9yB2GdegOR//c69+U5cKeBgw5kyrD4+PoiIiEBERARN+iiVSlRXV5tJzXUmXdgRBlpPsquda6erjrUb2FluanvAWiaZMTEwMAYIPOyvv8iYGLy+90Ocrc3HvuIspwqSO5JmE4vFiIyM7LZJQF/AlYPkq11DM4WL3AYwDIPW1lYzYxYisRQWFkZLyPac8Ei2mgQYhI0uk8mQlJTU50YBAoEAISEhCAkJMVs4Kysr250/YxigEGD0JlQcVyF6svzqH9oJBk2eimH3LUful59hzyPLcdOBY/ASS67+RjuDnS0mMnq2zhb3BpaELSIzx64G2EsWjMPhmN0nDMOgubmZ3teXSkvNWkOkUin4fH6X5kpXzMqx4UxBMhscDof2p7Ol5kirz5kzZ2jlgpBKO7unnPU87QH2ubrKOfdvU3Qbg8/nw2g0Avi7t6ZQeQnjv5yHEaHDsHPpGrsef+O5bThbmw9/TyEeHnePXY/FhrUAi5CjSGBMpNnEYjESEhLsTs6yNVw9k3y1CSkg0ht8Xw/oW4woP6nEkSNHoNVqKeEuOjrazMbbHmCbARA9XKFQCKlUiqFDh/ZYD9cRsFw4dTodDuefQ+W29r7k/b8cR1NgOO1p7KlCy9gXXkH5nt2oLyzA/qcew7Vff+/wxYadLSZZfW9vb0ilUiQlJdlcacKW4HA4Zlq6bPJgXl4ebQexRRndGrhcLq1GREVFQafVIm/NL2C8vHCxocGsNYS08HT0XbryfAX0n+DRUmqOqOkolUrk5ORAr9dT/pY1V8n+cp62gGUm2RXOu8dBsiteeLKwGQwGOkGdrS2AgTHYfcIyMka8se9DAMCD6XdD7B1o1+OxQXqSSQaE9KESbdnw8HCIRCK7SLM5Cq4eJANXLqpGo5HKWtXV1cErHNDnA61VeoTLoxASJQefz7drYEpK4UqlEmq1mhKeBg0a1Kl7mrNDIBBg+OxY7FvRHiSbyn3g6+tLe1T9/PzMepm7OlfyvL0x/dOvseH6qbi4aR2irp+D+MU32fNUAPzdA07aKIjpirNk9XsKSwc+EvwrFApcuHDBrIxuj5aeXffegZKtmzHmuZcw7tEnrbaGsAmA1hxEXW2dJeivMQRbOtByQ1lUVGTWDiSVSgdUu0V/vaadocszgslkgsFgoEYArrhTIuQyvV5PA468mgIAQHJQgl2P/dvZP3BBdQki70AsT7/LrsciINJsbW1tOH/+PABQclRsbKxDpNkcBVcPksn5sW286+vrwTAMAgMDIZfLMXgccCa/fWFGrRc8E2y/6SGkKrJotLa2wt/fH1KpFFFRUfD393eZe0o02Be+ck+01GpRfbIB0VGDaZaZbAyys7MBmAdCV+tnlKeNwMgnn0XlwX0IGWufliuiGEGCYtID3h+yxT0Fh8OBUCiEUCikMm/Esa2wsPAKmTdbtJDFzFuIkq2bkfvVp0hZ/rBVB0K1Wk1bQ9ja0P7+/nTcrghXiBss7ym2PCXZMHt4eMDHxwe1tbUO4Vb0JQZcTzLpGbxw4QJOnToFlUoFHo+H0NBQJCUlITw8HJGRkf3+RicgQbLRaKTtFnm1+QCAofLuy9x1FXqjHm/sb1fleGTcvQjw8rPLcYg0GwmiSADj4eGBkJAQREVFudwNTuAq96glyDWtqqpCU1MTsrKyaA9mWFgYRCIRnZRVIxmcWdUeJFfn1CNqkqzXx2fLc5Fgi8/nU5MIW8tzORM4HA4iJ0hxbkMltI0G1J5tQHBK4BW9zA0NDVAqlSgrK0NeXh7dNHSmxDDisacw8vGnwbHh88jOFhNTKJItTkxMhG8/lJ3rDTw8POjGBQCVeVMqlSguLjbLCHaXrEUQk7EYR197Cc2VFbjw268Ycvtd9G9sB8LBgwfDYDDQLPO5c+eg0+kAACUlJZDL5RAKhS41P7ti0oLL5VJSZ1xcHPR6PU6fPg2DwYD8/HwzlZ7O9Lb7K9hKHq6y5loNkk0mE8rKyvDVV19h7dq1KC0thUgkQkBAAAwGA9ra2sDlcjF69GhMnjwZ1157LZKSkhw9dpuDTIKk3cJkMiGv1v6Z5E3nt6OkrhwyXwnuH327zT6X7SKlVqvR2NhIXaQGDx5MpdlOnToFHx8fl3pYLeEqmWSj0XgF4c7Dw4NqfGo0GrS2tlIdcy8vLyqXFjw8kH5OTU59j8dASJxsIhexf42Pj3epCsTVED6uPUgGgLIsJYJTAs3+zu6RjY2NNetnLCsrA4fD+VstgxWIcS2yuM1VlyEM6Z4Ws7UNjKenJ6RSqZlFuBvtsJblValUKC0txdmzZ2kLTXeCGw8+H8PvfxCH//0scj77GEm33mF140OIoQ0NDairq4NOp0NAQAAEAgHq6upw6dIl6hjHrkj05+dsILQhkDnY19cXMTExZnrfpaWl1B2UXFdb98g7Gq54Ta0Gyb///juWL1+O0aNH480338TkyZMhFps7zeXn52Pz5s349ddfcezYMfz0008OGbA9wQ6SAaBe04DyhssAgCFy+wXJmcmzweVwYWD08BX0vPfPWrkdaC/1BgcHY8iQIVaZ6L3VSe4P6K9BMsMwZsoi7AVUJBIhNjYWfn5+ZsGOVqulZfSSkhLweLx2FrZcDA4XMDFAdU7X7anJAs4m3BHZL1ctzXcVkeOl9N9lh5UY84/YTl9vaYVMFDNIIBYQEGBWbmf0ehx67mkU/PoTFu86CFF85xUttr60UqlEW1sbXYQTEhL6/SLsKLCzvLGxsWZygDk5OTAajWamM50pfCTdfhdOvPMG6i7ko2zXDkReOwuA+XNKqrRSqRTx8fGQSCRmzxRpDVGpVCguLr6CANjfiNSAa2aSrYGdXWXrbbPn1ZqaGuTn59NNbG+qF30JV9SEthok8/l87N27F/Hx8fR3JHAkO4XExEQkJibiySefxB9//OGY0doZxGmJnCvpRw4PCEWgl7/djsvlcJGZPLtH79XpdGbSbMS+VSQSISoqqkt9df01gOwu+ss5ErOCuro61NXVoampiVYA2AtoRzt2T09PKolF7FgVCgUulhbBO4yL1nIGtecb0NzQAmGA9RI7yXiSH5Lx6MhSeKAiaFgABEIedM0GlB1WdqvPkkjuXS3LrCg4D4NGg13L70XGtj3wsGhfsewtFggE7myxjWHZQtPU1ASVSkWtzUkvMSEAsr9zgZ8/km6/C2c+/QgnP3ofhsFxUCqV1E5dKpVi8ODBnRrksFtDTCaT2fOZnZ1t5hTZnzKS/WGMvUVHcwJbMWfw4MFmPfKXLl0yk5oj8oXO/iwPmEzy7NlXBmzWms3JrmHevHm2H1kfgS0DJ/AQIHPIHMh8xVd5V8/QZtDCyBi7lT1muz2RAEooFEIkEiExMbFHGYWBECQ78zkyDENZ73V1daivr4fJZEJgYCCCg4NpUNqTyYdtx2oymVA5+jDyy6vA6E3Y9dtByJP9qbUvAJqFJAu4RCJBSkqKy/XO2QpcHhfh6RJc3FWDpqo21Je2QhTVs95eyywz6WWW3fcQlGeyoThzGrteWIHRzzxP+1dJtphIULmzxfYH23QmOjqa6kirVCrk5+fTRAUJbNra2uA5ZQbw+SdoUCrQqFQiPDy8SyTOjo7P1oYmbXVKpZIG7US1g2QleTye090TrkDc6wq6ep6WPfLsjVBubi6VmiPX1Rm9CQZMTzKBUqmEwWCAXq+HwWCATqcDwzBULiw9PR2A69zsHA6Huu4BQGpwMlYt+sBux/vq+E/4MOsrvDpjBZYMX2j1NcSJjN2DyufzIRKJEB4eDrFY3OuSjDMHkLaCs50jaaEgP62trfDz86OSe4GBgTZnQXM4HAxKkyJ/fRUAIAiR8PM3oqqqCiUlJQBAFQ6GDRs24IhcPUX4+PYgGQDKDil7HCSzwS73x8XFIaD+bRx+9AFc/PZLaCMHwys2Hj4+PpDL5QgPD3dn9vsQPB4PcrkccrkcJpMJarUaFRUVKCkpQWFhIbW1nrB6ExLGT7C5lCaXyzXLSLKD9oKCArS1tVHVDtLG4wwbXleJG66GnmZXrUnNkY3xxYsXqfNjV1p+HIUBk0kmSEtLM9sZECJIU1MTIiMjcfHiRQCus2MA2jPJ7NYSe6FJ24z3D38BVWsdDIzB7G9tbW00KK6rq6MyXqRfzdaZImcLIO0B9j3cF/er0WhES0uLGYmS6FBHRUXR/jN7TjBGoxFekX//P3dXIdJSQxAeHg6JRAKj0Ugn4aysLLqwymSyAUXG6y4ixrH6krOUSLk1spNXdw1sKT2lUglNcBjEU2ZAvfcvNHzzOdI3bkWDRkNbM0jZ3lkzTK4MIvtF9Jc1Gg1VrBCJRGb9zAcOHDAroXdHQ7srIIketjY0IYup1Wqq2sFuzfD09OyT+2UgBcm9PU+21FxkZKRZpamiogJ5eXnU8IfcW30hNTfgJODefPNNcLlceHh4gMfjwWQyobCwEL/88gtuv912KgzOBGJNDQBl9ZWIkUeBy7H9Rf/i+I9QtdYhRhyFxUPmQqFQ0N5ijUZDs4qDBg2y+85/IAXJjgLDMGb94nV1dTAYDJSYFR8fD6FQaNceM1KFIAt0XV0dOIK/+1n5dX4YNWqU2XsIUamtrY0GaJcuXaJ9rqQ1w9l74xyJQaPF4PI4YAwmlB1W9vhzNP8LeonxCpHSi4uLg1gshnHUSKyeNAZNJZeQ/9F/Mfnt9xEXF0evlUqlQklJCS3bksXSVSX4+hI6nc6MdMflcs2ulWWAIpG024u3tbWhqvgSKg4dQFl4JP0b+bG1uQ6Hw4Gvry98fX0RERFBN19qtZqSRYVCIS3hO/LZdgfJPYdlpYk4S5LqAdH8Zjs7OiJ4dcVr2mmQfOutt1r9/bhx4/Daa6/hkUce6Xfsy6uBx+NBr9dDb9Jj1Jcz4cXzRMFjh21K3KtrrceHh78CACwJn4usQ1nw9vaGSCRCTEyMmbatI8DlcgdMkGzPh9hgMNB+8fr6ejQ1NcHHxwdisRiJiYkO0Qwm2uYkMDYYDBCJRJDL5dQ5LTt4M5qr21BztqHD78PLy4vKYbEJJaTnUiwWQyaTQSqV9lvXPFuB78NDSJoIlcfVUBY0oUWhha/s6iV1QqpkG6+QilFcXNwV2XteoAhTP/4cf923FGETJtHfs68VO6tZXFxMFTPIBqczcpgbHYOQ9Uhg3NjYSCXhIiMju2yS01pyCX/NmgKuBw+3ncmHxshApVJRMxGicU76mW0d2LC1ny1VO3Jzc2EwGK4gANoruHLFgMoaHJFdZVcPAHPN77KyMjNip0QisVtlcMBlkjtCaGgodu3ahba2NpcKkjkcDgQCAQwGAy631QIAfPg+vQ6QScmLZBU/Ob0KjdomRPuF4+YRmZBKpH3aTzSQMsm2PE+GYehkdDy7DLn5tZia3s5uDw0NpQGkPScNIiPGlmcTCoWQSqUYOnQoAgMDrzh+8PBAFFVXo61Oj8YKDQLCOyeOsgklCQkJ1IaVkIR8fX1pwGzr8nF/QcR4KSqPqwEA5UeUSJwXZvV1JFtMyt9E9ismJqZLJdLwKdNx68k8CPysGw6xzQwAmFUESKmdXRFwZ5k7Brv9iPBziElPSkpKj3qLRfGJ8A0ORcPFQhT8/COG3/8gAgMDERMTQ7OBSqUSeXl50Ov1VL5PIpHYpc3OkixKKk81NTW4cOECBAKBGQGQz+fbbAwDJUjui/Nka36zN3i1tbUoKCig15X82KpPnpyrK8UTnc7ICoUCbW1t0Ov10Ol01Mb4008/xciRI12y5Mrn86HT6VCpaSfixEsH9+hzSEaPBMZ6vb49gPDxwJbqPQCAl2c+g/BB4TYbe0/hajd1Z+jNeTIMY6ZXWl9fT1tjPv35Io7nKFFSzcfK1ybAX2h7y2cCooRByvIcDoe25gwfPvyqmd3g4QEo2lENAKjOrb9qkMyGpQ2rXq+nQQSxYCZB2EAq9UeMlyLrwwsA2vWSSZDMzuwqlUq0trbSzG5MTEyPMrvsAFlbXwdBQGCHn9FRlvnixYvIzc11Z5ktoNFooFAozMxXZDIZkpOTbZLZ5XC5SPnHQ9j/1D+R88VKDL3nfnD/tzGy7CUmm1GFQoELFy5QxQoiM2fraiOXy6WqHcS2m3AoCgsLkZOTY9b73tsSvjtIdgzYaixsqTnSnpWTkwM/Pz+6GeqN1Bw7k+wq17ZDxz0Oh4OhQ4dCoVDQk+ZyuTAYDPDw8MCePXtckv1O1C0qNe1BRJyka0EyW5pNrVajubkZQqEQYrEYSUlJCAgIgIeHB1bnbEKzrgXDg4dgXuJ19jyVLmOgmIkA3Q+SjUajmbpIY2MjPD09KTFHIpGAy/XA7GkmnMo7iPXbLiD7XC1++GA+0pKDbTJ2NomLlOXJYhUVFdXlUi8B23mvOqceCbO75+TGBp/Pp/qxJKutUChoqZ+0D0ilUpcm/0WMldB/lxxUoKKigm5iSPbW1jbdxVu3YO+jD2Dcf15D4pLbrvp6dpY5Pj7eLKt96dIl2gPdl8QfR4NNgFIoFLTlRSaT2U1OL/6mW3DsjZfRVFaK4i2/I2ZB5hWvsdyMslueCgsLac8puV62JmsSzwC2agepSpB+ZgBmDoBeXl7dGsNASsw407xnKTVHWm6USiXOnj1r5qAqkUi6tb4427naAlZnQXKSmzdvhsFgAI/Hg4eHBzgcDsrKyrBx40bo9XqX/EJIkFzR2i6T1VEmuSNpNrFYjIiIiA6l2W4avgBJ8jjojDqn+e4GQia5q0EywzC0YkLk2YxGI104ExMT4evre8VOe961cfjPBwcAAJfK6jF9yf/h09dmYcn85G6P1ZqdMCmP2SLQChoWSP9d0w3nvauBbY4RFxdnRkS7ePEidZOSyWR26bfsKzAMgzZuC/yjPdFYrEX1mXqUX6pEcLi8x9nirkCdfw5tKiUOrngSoeMmwj8yqlvv9/b2Rnh4OMLDw836o0mW2VU3OCQoUCgUUKlU4HA4dtnEdAS+jw+Sly7Dyf++iTOffWw1SLaEZWDD7jklbTTs8rmt2yA5HI7Z/WI0GmmbV3l5Oc6dO0ddOEkrz9U2Wa4oF2YNzu5CZ2mUQ8yJyOaZmBqRa9tZa+iA60kePXr0Fb9LS0vDkCFDcNNNN2HTpk0ID+/7dgFbgqhbkHaLOEk0/ZtGozFTK2AYBiKRCDKZrFvSbMODh9ht/D3BQAqSrcFgMFDGd319PZqbm+Hr6wuxWIwhQ4Z0acL/9IeTAAB/oQDDk+Q4eLwC9zy1BeeLVHjx0Ungcju/L4huMpmc2Lv5+Ph4mwYp4hgh+D4e0LcaUZ1Tb5PPtAbLRZXdb2lJEOpv5D+2ooRKpWoPUlK80VishckIBDPRiI6W23UMaY88jrK/tqP6aBZ2PbgMCzZtA7eHZVK26QyAKzY4JMvc1QDImUASGuR82H373SHd2RJD77kP2Z+8j5oTx1B97AiCx4zt1vvZPackG65SqahiBSEVEpk5exAAiboC6acmzwLppyabLCIhaTkGV19zCPpTMpGthsKWmiPk0nPnzlF3SWu8BmffEPQEPZrpBAIBLl68iObmZluPp89BepJrNAoAQIDJDwUFBVCr1Whra4O/v3+PpNlqmhVoM2gRGTjInsPvEQZauwXDMDRTW1dXh4aGBiqpM2jQIKod2p2F5fWnp2D3oRKUVDQgIiwAT6SF4b9fHsW2vRfx9D/GwtfHPLNjMpmuINyRTExSUpJdLUi5HhwEDQ1AxTE16opb0Nagh1eAfbNnHh4ekMlkNBtPgpbLly8jPz8fQqGQkv/6Imi5GthleaVSiZaWFiqxFB0dDT8/P+RUlqF443EA7XrJ0VPsGyRzPTww/dOvseaasag+chjZH7+HEY8+ZZPPttzgkHYfUupnO385Y5aZvSlTKpXQ6XSQSCQICQnBsGHD+nxT5iMPQtziJbiw+v+gOHO620EyG2w5MEvFipycHBiNRruaThDCO7vtip2NLCoqAp/PNyMACgSCfhU89gb9OWNueW8RoxqlUokLFy6Ytf5JJBKaSeZwOC5zbTmmTrZzubm5tNxMiHsNDQ349ttvodfrsXbtWgQH26bv0hmg1+uRnp4OX6EvzknK0Mhpxpq7v0FESDi9UXqaQXl0ywv4KXsdXrt2Be4fc4eNR947XLx4EXq9HomJiX09FLuAaBYfPnwYUqkUzc3N0Gq1dMMjFotpz3hvcPhEBa677WeYTMBPHy6A3mDE2LQwRIQFADC3GVWpVDCZTGbsdUcqnGz+5ymc/PoSAOCuHdcgcoLMYce2hGX5m2jOsi11+wKWBEmSbe2IlFhX0oKPkrcCAAZPleP2zZMdMs78X3/CnofaCWCZ2/dClpJm1+OxW4HUarWZAkJfZpnb2too6Y6Mi2y87Lnp7CmaL1cCAISh1pVQbAGibECuV0NDA80EEgKgvb8XUqkj815LSwv8/f1pa2N6errTXRtbYt++fRg2bBhVnHElkLYf8qPX6+Hl5YWIiAjExMS4BHHbapBMdgOjR4/GyZMnKUHPw8MDnp6eSExMxHvvvYeRI0c6fMC2hMlkQn5+Pnbu3ImdO3di79690Gq1iImJwezZszF37twrzBZ6gpK6coz89DoYGAO23vkzxkdc2cbSl7h06RK0Wi2SkpL6eig2A+mZI60xTU1NNGPu6+uL4OBgBAUF2Zx8+uJ7+/HuF0cQ4OeJQxvuQICviU4g67cXIy1ZjtGpkXYrg3YVJ765hC2PnAIAzHo3FenLY/tkHJawpgYhEonMemPteWySLVapVGhqajIjR10tw20ymfB+/J9ouqwB39cDKy4vAJfnGAH/HXffhkt/bERgXAIW7zoIvk/XFUt6AzahTKlUoq2tjV4ve+qxAu3n3dDQQANjkt0ngbEzZrj7GmzLapJhDwwMdEhVgFyvqqoq1NbWQqfTgcvlUkIpeca9vb1d6rrt2bMHqampEIlEfT0Uu8JkMiE7Oxt6vR4+Pj5ISUnpV21ZHcHqGZCFe/PmzdDr9eDz+fDw8KA3Mxv9uWQyYcIEnD59GpMnT8a1116LV199Fc8//zzGjx+PsWPH2qzf+s39H8PAGDBt8ESnC5AB1zATYRiG2nnX1dWhvr6e2nkHBQUhOTkZPj4+0Gq1UCgUUCgUuHTpEnx8fGgbgC00fh+/Jw079xfizHkVFt/3M95+cgiCgmQoquRi5c/lCPCrxS+fxCI2tm8nzODhAfTf9uxL7i4sFRhI2ZaU+on1KskO9naTodVqzXqLCYkrMjKy2wQoDoeDiPES5K2tgL7FiOrcBoSm2f86czgcXPPfj1Bz/ChC0scBDnyWLQll7OtVVFRkc6dG0vtKjgG0Sw5GR0f3a8nBugv58AkKhmdAoF2PY6lYQaoCKpWK9p6zCYC9/T6J1jTZyDAMQ/XWJRIJPDw8aNvZ5cuXcf78+St6Xnk8Xr+NMYD+3W7RHRBFFKFQiJiYmL4ejs3QaZhP3FvYMJlMVAaO9J6Qftbe3ggvvfQS/vOf/5j9LiEhAfn5+QDay2lPPPEEfv31V2i1WsycOROffvqp1XF2Bd9++y2ioqLM+tMEAgFUbXVQaesQyvRcGovgfG0hfs3ZCAB4Yerjvf48e6C/EvcMBoMZkbK1tZXK7oWFhVltj/H29kZERAQiIiJgMBjoBH769Gla5pfJZHQCvxpI7yNZaDQaDZ69Px7LnjsBoVCIYaljIJf4InSQBuNHFuHwyQosvHctvnxrNm6Y03eZ+6DkAHC4gIkBanJtp3Bha/j4+JhdL9IPd/bsWRiNRjMJqq4I4hOZOhJkkWyxRCKxCYkrYrwUeWsrAABlh5QOCZIBwEsswY37j8JLLLn6i+0I9vViZ5kLCgqg1WrNepm7QnS21AtuaGiAr68vpFIpUlNTXcK85uC/nkTul59h7IuvIu3hxxx23I4sq1UqFZVw9Pf3pwFzV79rdiJCrVZTrelhw4ZZNTciijiDBw82y3Tn5+ejra3NTGXFz8+v3wWc/TmR2F2QDUF/jCc6gtUgubS0FPX19YiIiLiiJMzhcOjusq2tDcXFxfjll19w++23Iy4urtcDSk5Oxl9//fX3AFlBzmOPPYYtW7bgt99+Q0BAAB566CFkZmbi0KFDPTqWtR5cgUCAfdoTeG/3D7hPdSvemf9Sjz6b4LV9H8AEE+YlXocRocN69Vn2Qn8h7hmNxisIdzweDyKRiGb+ukO44/F4VLyflNoVCgUKCwuRm5tr1XqZMOVJUFxXV0dF/uPi4mjmY2d0AhJjJODz2wNtcaA3/lh1I+55ajM2br+Aux7/A5XVTfjn3aP7ZALl+/AgifODsqAJtecaYNQz8OA79+JjmQUjLlLE0pcw+mUymZluLOkFJxljImnUk2zx1RAxTkr/XZalxNiHej8ndhXsANnEMDBoNOD3oZY9O8tsKWtYVFREJQEte2MtWzi0Wi3EYjGCg4MxdOjQPnUntQckye3rwtlvvkDK8oepuYijwZaRA/7uyVepVCgrK2sfKyvLbDknksCY3aZkzV69I5DYgm2oQioTarUaly5dgoeHB52XyXzv7AHoQAqSB4wEHJfLxbJly8Dj8bBkyRKMGzcOUqkUXC4XOp0OGo0GxcXFOHr0KI4ePQoOh4Nbb73VNgPi8aySARsaGvDNN9/g559/xrRp0wAAq1atQlJSEo4cOYKxY3vODmaDz+ejjmnPrIUJQ3r1WScv5+CP/B3ggIPnpzxqg9HZB86aSWYYhlq1Enk2nU6HgIAAiMVixMbGws/PzyakDzaLNz4+Hi0tLVAoFKiqqqIlQA8PD2i1Wir9J5fLkZSUBB8r/Z/DEs2VDQwGBl6ePPzw/nw888YefPbjSTz39l5UVDXhrWenwsPD8RNL0LAAKAuaYNQyUF1ogjw54OpvchJYukjpdDqabSwtLQWHw4GXlxeMRiM0Gg1lYNtb8kueHABPfx60jQaUHVL2yQLZUlWF3Q/fB77QDzNX/Z9TLNDWspakKpCfnw+tVkszy62trbRNIyEhwSHksr5E3KKbcOTlf6O5ohzFWzcjZt7Cvh4SgHa3xrCwMISFhdF+YrYUmJeXF/h8PrRaLa3qhIeHQyqV2mTjaSlHZpnpzs3NtZlTnD0xkIJkVzxXq0FyeHg4jh07hp9++gnvvfcenn76aXojEukqjUaDYcOG4f7778eNN95oswEVFhYiNDQUXl5eGDduHN544w1ERETg5MmT0Ov1mDFjBn1tYmIiIiIikJWVZbMgWSAQoNHUAnCAYN/eMf4vqoohFPhiXuJ1SJQ5LqPUXThTkMx2LiSEOx8fHxq8kjYIe+5WSXBuNBrp90L0H41GI/h8Pry8vODt7X1VKSmdzoh/v7cP+UUqrP9yMTw8uHjnuWmICPPHs2+2B8vTJ0Ti+qmOJ84FDwukrQHVOfX9KkjuCKQFjEj9GY1GAO2bX/Jjz0mc68FB+FgpinZUo0WhhfpiMySxfld/ow3RWluNywf3gzEYUPDrT0i8+XaHHr8r4HK5EAgE9Jq0tbXBaDSaVbVcSUaqM/C8vDDkzrtx6r23kfPFSqcJktngcDjw8fGBRqNBS0sLmpubYTQaweVywTAM/TEYDJTHZOtrx850m0wmq1J3liRfZ7h/XFE7uCOwJeBcBZ3WdW677TbcdtttUCqVOH78OMrLy8Hj8RASEoIxY8bQsoytdg/p6en47rvvkJCQgKqqKvznP//BpEmTcPbsWVRXV0MgECAwMNDsPUFBQaiuru71sQn4fD5aoAEASDx7109447AFmDZ4IgyM0RZDsxv6MkgmhDvSulBfXw+gvU+NaJp6e3vbvYRjKffF4XCoHnZKSgrtd2UYBmq1GgqFAufOnYPBYIBEIqFtGZYZlJKKenz9SzY0bQZ8+O0xPHZvOjgcDh5ZOhqhQULknK/tkwAZuNKeevjNkX0yjp6AbNZJSb6xsZG2W6SlpZn1T7J7Wi9cuAAfHx+6kFrrkewtIsZLULSjfU4qO6R0eJAsS0nD6GdfwNFXXvzbjS8q+upvtDNIVYiQuEwmk9W2F8I1UCqVOH/+PDXWIdfMWuWmv2Po0vuQ/dF7qD5yGIozp+0u49dVkIoa6QcneuZRUVG0pcmyb/zChQu0BY200tha5YDD4cDT0xOhoaEIDQ0FwzBU6q66uhoFBQV0DGwpyb4I3lwxu9oR2OfqKud81TvXZDJBKpXi+uuvt/o3wHZfBvsYw4cPR3p6OiIjI7FmzRqH9aFx+R7QcLQAAIlX70k3Ut++JdJ0BY4Mkkl2jxDu6uvrqSC5SCRCeHi4Q8pmbIMElUplJooeFRXVYUmereFLTDFqa2tRVlaGc+fOUQkq4jIVP1iCd56bjode2I6X3j+ASWMiMGp4exvP4tlJWDz7b/JefWMbGpu0VFfZ3jAPkp2XvEdAMkfkmpEgKzw8nPYnWgO7ZEvImkqlErm5uWAYxoz8Z4syMbsvufyoCml3Oj5ATX3oMZTt3IGqI4fa3fh+395jN77egB081dfXUzWZlJSUDiUQeTwefYasBWBE4UQikThtib278A0JQcyCTBSuW4OcLz/F9JVf9ck4TCYT6uvraWCs0WhoP3hHJiwcDgdCoRBCoRBRUVFmPeXEfIYtpcjmC9gKXC4XAQEBCAgIQHR0tBmh+sKFC1eMwVHym2RddbU+3Y7gilnzqwbJnZ2wvb+MwMBAxMfHo6ioCNdeey10Oh3q6+vNssk1NTU2NTQxCNpLfR4cDwQIepYByio7AZ1Rj2uix9lsXPaEvYNko9GIlpYWM8KdQCCASCRCdHQ0xGIxBAKBXScSS+JQXV0dNUGIiYm5wl6zK+BwOPDz84Ofnx9iYmKoVbFCocDFixfh5eUFmUyGBTPCsetQPDZsu4A7H/sdhzfehQA/84BOqzNgyYMbcKFYjfVfLkbqkJ4ptnQHwmAv+Mo90VKrRXVuvdNlPNjZYuJKSLLFqamp3XK8JGCTNdmfTzY5ZKMkk8kgFAp79H2EjhCBy+OAMZhQflTV7ffbAlwPD0z79CusmZyO6qNZOP3Rexj5mG3c+DoDwzA0QFIoFFTRQi6XIzk5udvJDssAjK1wQrLMlhq7/RXD7n8QhevWoHLfHhi1Wnh0Qa3FFmCr/LBl9WJjY3tk5mMpC0gMJ5RKJYqLi83aJmxNnAX+liJjk3yJzbparUZxcbGZNrNMJrMbAdDWiURnB1lDnKV90xZwaqXn5uZmXLx4EbfffjtGjhwJPp+PXbt2YdGiRQCAgoIClJWVYdw42wWjWp4eYACxVyA46P6NzZgYPLXtP8itycd7s/+De0beYrOx2Qu2lmwhDndswp3BYKBSW/Hx8RAKhXbPAOn1erpgq1QqWrYlY7B1z5qXlxcGDRqEQYMGmemD5uTkYMlMIY6c8kZJRQMefH4rfvxggdmx6xu1UNe3oUbRgpm3/oyfPlqIayfZPwMZPDwQF/+qgUalQ9NlDfzD+raUze4zZJfkw8LCzNpebAEOh0OzTzExMVQzWalUoqSkBDwejy6i3SGP8X14CEkNROWJOijzm6BR6+Attm0g0BX4R0Ri0lv/xe4H78OJt15F+JTpkKeNsPlx2N+bSqWi3xubQ2ArWAY/JMtcU1ODgoICm+toOxJBI0Zh5ve/IGLatXYPkIk7IZFpIxl+e8jqeXt703mRqAipVCqUlpbi7NmzdONrrwwv6admSxOSMZSXlyMvLw9CodCMAGir9hB2f/1AwIBRt+grPPnkk5g3bx4iIyNx+fJlvPjii/Dw8MDNN9+MgIAA3HPPPXj88cchFovh7++Phx9+GOPGjbMZaQ8A/PlCJCrCMT5pfI9k0Tac24rcmnz4ewqRkXRli4ozwhY7P4PBYEa4a25uhq+vL0QiEZKSkhxiV0sygyTIamhogI+PDyQSCZKSkhxamvXw8DBbzBsaGvDW035Y+sx+bNh2AS//9w8svTEVMpkM3t7eCJL6YufPt+DmhzZg35EyLP7HOnzyykzcnmlf2UASJANAdW6Dw4Nk9jUjvcVEB7ezkrw94OnpSdn8JCOqUCjMNH5J7/nVMpaD0iWoPFEHACg/pkL8rN4p5fQU8TfegtId26A8mwuOjRRULPvBm5qaaAZ+8ODBPc7AdxedZZnz8vJgMBjMepn7Q5Z58Jz5dvlcIplIAuPm5mYEBgZCJpMhISHBrk6WbLBVhGJjY62S78RiMQ1Y7XHNiIycWCymBEDSmnH27Fno9forCIA9nYMGWruFKxqnOFWQXFFRgZtvvhkqlQoymQwTJ07EkSNHIJO1q0y8//774HK5WLRokZmZiC0h95RgiDISy4ff0e3A0cAY8NreDwAAD4+9B2Kf/mFD2ZMgmWEYWkYjhDsOhwORSISwsDCqLWzvB4Zo4JIfk8kEsViMkJAQp9FU5XA4CAwMxKJ56SipAt7+/DCC5CLU1tbiwoUL8PX1pT2YG75cjH/8ayvWbD6Pfzy7FZerm/D08nF2CzosyXuOCObYrmkqlQoMw1ADmOHDh19VMcQR4HK5Zkz61tZWKBQKmrEkgbxUKrUayIePleLoyiIAQPmRvguSORwOrnnvY3B5/F5pJpMAlO2cZmvJr97CMsvc3NxslmUmhE3Sy+zMi7mJYdBaWwPf4J7fN6Qvl1wzItMWGRkJqVTqFO6EAoEAISEhCAkJoYE8m3xH3PcstbRtBUIAJGNgGAbNzc30eyssLIRAIDBr6emOcsdAa7cYkD3JjsSvv/7a6d+9vLywcuVKrFy50m5j4PP51FO+u5nkn89swEV1CSQ+IixPv8s+A7QDumImQuR92A53Wq0Wfn5+EIvFiIqKQkBAgN0ztQzDUK1MlUpFs1gSicThmcee4LF7x+CmeUkYFOIPoD1gJP2bp06dApfLxRNLB0McwMPn/5eLlz88CJ3eiBf+Ocku4wka9jdJsMZO9tRs4w+S4SdBZkcuXM4Etl5rVFSUWZB/5swZSm5mL6LhY/8m7Fb0UV8ygaXVcVf7XYmRg0KhQF1dHby9vTt1TnMmsPkC0dHRVFmD7dZIAh+JROIUm2kCRfZp7Lx/Kfg+Pli8+1C3gg6dTkezxSqVCgKBADKZDMnJyU6/MWBrn0dHR1/hvqfT6RAYGEizzPaQeONyuXQMRJu5rq6O2nbn5ubS9aYr6jgDMUgeUBJwAxFaDz2aOK3QGnXwMHV9QmkzaPHW/o8BAE9MWA4/T6G9hmhzdJRJNhqNaGpqokFxY2MjPD09aamMkN3sPfESwp1KpYJarabED3s4ptkbXC6HBsgAoNWZzLIYhFmeMc0PJkM4fv2zGpNHSaDVam3aj0sgifMDz9sDBo3RpgoX7KCEncUisn7OkC3uKfh8PoKDgxEcHExbaZRKJUpLS5GXl0dZ9P7hXmgsb0PFcbVTOBqaGAZnPv0IZ7/5Aot27oe31FwHntx/JDDWaDS0xaQj05z+AksnN5JlrqqqQn5+vt1lAbsDv4gItFyugEGjQdWRwwgdN6HD15K+bBIYNzY20taXmJgYh7W+2AOWlQH2OnDx4kXw+XwzAqCtM+OEAMhWWrHmQmhJHGV/3wMtSB6QEnADDXs0x7Av4Sy+zvsZ9yV13UVw1clfUNFYhTD/YNwzyvnJemywzRe0Wq0Z4Y5hGCprlpSU1Kv+rK6CLd+jUqmg0WhoBqG/T/xs7D5cgnuf3oL3XpiBhTMTKONaLBYjPj4eqaktuPOGSmg1DThw4AD8/f0hFksRHCy3WRaF68FBULI/Kk/UQX2xGdomPTz9ur/YsAMPpVJJ+8H7S7a4pyCtNIGBgYiNjTVTOPGMNgLlgEFjRP7+EiROiexTuTKjTof8X35CU3kZ9j3+MGZ+/wutZJAsP5E4ZFusuxo6yzLn5ubSDR3JFjp6Q+clliBu8RKc/3EVcr/89Iogmb2ZJgoiEokEoaGhNie3OgusOTay3ffOnj1LM7yEAGjrNYLD4XRIQqysrMT58+fh4+NDbbPFYvGAI+65e5IHALTQAQD8BMJutVuEB4RhsDgS/xy3DF68/jNJGQwGNDY2QqvV4tixY2htbYVQKIRIJKIlOkcQ7pqbm2lQXFdXR4XgXXmx3ptVihpFCx54bhvSkoMROejv1gdCSkoZlgCgvfd6886zWPrsVqy4NwrR4QFUeaG3ZdSg4YGUZFZztsFM57czsIMLlUoFg8HgdP3gjgZb4UQ7zxfb9+cAAM78WYhqFNMFtC+CL56XF6Z/9g3Wz7wGxX/+ga2v/QeCsROpuoC9LbudFZZZZtIaRLLMpDVIIpE4bLM37L7lOP/jKhRv+R1NFeXwCgo2k2njcrmUdOfqtt3WwJaRA2A1w8vOMtvjWWOTEE0mE50PVSoVzp07B51OR63WGxsbIRQKXS6AtIQr9iRzTK4kaGcDjHplOk415eH59H/i+tApGDp0aJffqzfq20s0XOcN6IxGI1pbW2m2uKGhgU6wer0evr6+CAoKglwut2vGls0oJgEWYRRLJJJ+XdrtKvR6I6677Rccy76M9LRQbP/xZvD51hc7hjFh4qLvceZcLSQib3z95nQMkgMKhYKSqEjw1d2y4/GvLuLPR08DAK5/LxVj7rfuANhZtrg/kKEcjarTdfhy4i4AQPKiQZj16VCaZSZ92eSa2SPzRUDkCMl1q1m3Gsr/+w4ePr7I2LkfsoREuxzXFdARyZTc8/bc6GyYPwvVhw8gZMntEC5cbEbwHYibma6CtECRtYUo5pCA2Z7zFFHFqampQW1tLQwGAwQCAbXqZrdmCAQCl7uGu3btwujRoyEUCuHp6ekS64E7SLbAiFenIbvxHF6e8BSmycZh2DD7SnDZGwzDUL1g0lus0+n+V7pvf2D9/Pzg4eEBvV5PS3hKpRKenp6QyWSQy+UIDAzs1QPNMMwV8mxCodDhGRpnQ0l5PcZnfI+GJi2evH8s/vP45A5fW61oxuL71+F0Xg28vXj44f35uH5qDBobG+k1Y0s7yWSyLm02yo+q8O20PQCAEUujMe+TkfRvxGiABAp6vd5lzBvsDcbA4M3QTdC3GOEf5o3HLsyhf7NscwBAv1Nb9FdqNBp6T9TV1dFnWSqVIsDfH5sz56Iq6yCCRqdj4R87wHXBSo2twc4yW8oVdqRy0t3Pb2hooHNwzZ6/UP3+WxCIJbjpWA6ELBMtN7oOy4oXmcNI0EyyvT0F24xFoVCAy+VCLpfTlgsul2tGAFSr1Whubr6CAOgK1YCdO3di7Nix8PX1dQfJrorUV6cgpzEfb0x6FhNEI5GSktLp6z/K+hrefG/cmXYDBB7OQSAzGo1obGykQXFTUxO8vLyokQYR+O/sBiZ9wbW1tVAoFABAA+aulvdICYw4HXE4HLMsjCv2zvUE67fm4/ZHfweHA2z57iZcMzayw9c2t+hw2z83YeeBYnC5HHzw4rW4Z0kq/TtxlrI0CZDJZB1mK3XNBrwRvBEwAaEjRbj5z3QaCBArYbbQvitMfI7CD7P3oXhf+/PzaMFsBAy6ctNCNpAkqG1paUFgYKCZTuvVFnHSH0mufWtrK90sSaXSKwKBpvIyrJmcDl1TI8Y8+2+MfOIZ2574AACphpFnhchPkuvWlfmNbTpEpPXINRMFBGD16GFoqa7CzO9/sZuG8kAC24CGtPZ5enrSNamrrX1ERaS2thZqtZoqv8jl8qtm+U0mk5l0qVqtNqtQWHte+wu2b9+OCRMmwMfHxx0kuyqGvToZeY0X8O6Uf2O03zCkpqZ2+NrqplqkfjIdGkMbflvyFa6Lm+KwcbLBMAza2trMCHcmkwmBgYH0wfPx8emVIHp9fT0NmLVaLe2HlclkNOtFyBRkAmptbaVMa4lE4i4RdoIHn9+G737LQUSYP479vhR+wo4XWL3eiIf/vQM/rs8FADz9j3H496MTr/hurdnNkmvGXgwMBgM+SdmOhhINuAJg3OpASGQSd7bYBtj98lkceCsfALDo+3QMXRx+1feQjQ7ZXJJF3LL/nBgxkNdyOBwzh8CrZaMvrPkFe/65HGNfeBkpDzzS+5MdwOjMQt3SSY5N7iTXVy6XW1XWuPjHRniLJQgZf+Xz7UbvQTK85LppNBqqTiORSODn50e/99bWVroGNjQ0wN/fnwbGvTFjYVdZSQsk4eSQcfB4PKe//iaTCdu3b8fkyZPh5eXlMkGyu8ZmAS5LvuRqxL13D34GjaENo8NScW3sNY4YHoVer0d9fT3NFre2tlLN4vDwcAQGBtqM7EZMQkQiEeLj49Hc3AyFQkElr8iuV6PRQCAQUBWKrizUbrTjzRVTsTerFOlpYWCusm3l8z3w2euzEB7qh9c/OYzSygaYTIDlHMrj8SghiWQaFQoFLly4gLa2Nhr8ajQaeEaYgBKA0QFDw0YiOLl/GOE4OyLG/k2CLD+i6lKQ7O3tjfDwcISHh9OKDtH3NRgM8Pb2pmY+JBAbMWJEtzehcTcsQXD6OPhHRvXk1NxgwdLinL2Byc7OhslkgpeXF4xGI9ra2miWPz4+vtOsYcy8hY49kQEGDw8PmgwAQA2ylEolLl26BC6XCy8vL+j1euh0OkpMtqWMJZfLpQo5gwcPNtOHLigooPcLO9nkjMGnpbugswf1XYU7SLbAuKCRKD5ZhIiFYTDpOo5WSurK8d2p1QCAf097wu43hNFoREtLCw2KGxoawOPxIBKJqIOSQCCw+8NjMBig0WjQ1tYGg8FAz5tIyPF4PHh5ecHHx8clFSnsBT+hJw6suwPiwK5lbTkcDp57eCLSkoMxY2I0uNyrl+P1ej2MRqOZlqXJZILJZEJArAC1+9sAALVnG91Bso0waIyY/rv8SO9MRTp6tns693A4HLMA2ajXw8O9qbUJeDweBAIB+Hw+5XuwYTQaYTAYrvh9Z2CMRnBdoG/VmeHp6Qlvb294eXmBz+dDr9fT+ZJYWLe1tdGEkK3XWw6Hc4XaClsf+tKlS9RWm93W4wwBqatqQrujGAvcHLcAfxxdjRT5EJSXl3f4urf2fww9o8eU6PGYHDXW5uNgGAY6nY4S7urr66HX6xEQEACRSIS4uDgIhUK7N/uTMiKbcEd6VJOSkiASiczUMQh5obi42KbEv4EAdoBsMpmg1Rnh5dn5Izp72t9KFAxjwssfHsD9t45AsMyXOqYR8paXlxekUukV102n0+GUohCF3zYCAE78mQf+8FYz4okbPYNXoACyJH8ozjeiOqceuhYDBL6dX9O2tjbaIqNWq6lrmrXrRtppysrKqMYxu0TbVSjOnMZf/7gH6c+/5O597SF0Oh1to1CpVNSIYsiQIVavG8kyA7hC9YANg0aDo6++iIt/bMRNB4/D0z/A8tBu9AIdEe+GDBliNv+R66ZSqZCTk0NdG0lbhD3a0jrSh1ar1SgtLcXZs2chFAqpuhH7PnM0SOXd1dYLd5BsAT6fD4PB0Kktdb6iEL/mbgIA/Hvq4zY7NtEsVqlUqK+vR1NTE3x8fCASiagepiPaF9ikApVKRQkpV9O/5fP5CA0NRWhoqBnx78yZMwC6T/wbqKhWNOORf++Ajw8f3/13Xpff98pHB/DO50fw07oz+M/D8QiW8qhjWmJiYod9cwKBAMlTB2M7zrf/oqY9M3H+/Hno9Xozebn+5G7oLAgfK4HifCNMRhMun1QjarLc7O9sVQNC3CMGPnFxcR0S9wQCwRVujUqlktrnEklFQv7rDBc3rUd9YQH2PvoggkaMhm9IiE2/A1cF2+2OKPbIZDJER0eb9bOywb5ubMfG8vJy5OXlmfE4AgIC4OHlhfK9u9FyuRIXVv+MYcuW98GZuhYsiXdeXl6Qy+Wdti1ZXrempiaoVCpUV1ejoKAA3t7elBhvrzWOrQ8dGxtrNXBnP/e94SJ1F+5M8gABj8dDG0eHyqZqq1bNAPDa3g/BmBjMTbgWI8M6V7/oDKSvkLBs6+vrqYNXaGgoNRyw901OFljysDU1NVF5mpSUlB5JG3l4eJjZeRLiX0FBQYfEPzfaUVnVhG37LsJoNGH+jDhkXm9dx5aU4gjpJDakGWFBXqis0eCpd85jzacZGDGiY6UMNoTBXvCReqJVqYXqfCsSEhKQkJBA+8/Ly8tx7tw5GrwReTlXmxDtgfCxEpxaVQwAKDuiQtRkuZn+LiFVSqVSREdH90gCztKtkV1FKCwshLe3N104rSmUjF7xAsr37oYyJxu7H74Pc9dsAsfFMkK2ALu3X6FQoK2trVd9qpaOjSRBoVQqUVZWBg6HA4lEgvBFN6Lu9f/g7LdfYei9/3A/dz1Aa2srDYzZxLv4+PhuE+84HA78/f3h7++P6Ohosz7i/Px86HQ66hLbVYWa7oLD4cDT05MmphiGQVNTE9RqNWpqalBQUABPT08zAiCfz7fbveOq7oJudQsL/PePT/DUgVcxVJaA/6Y+j7Fjr2ylOHU5F6/t/QCvzHgGQ+TxXf5shmEom5b0Fms0GqpZLBaLHaaXyO5zUqvVZjtUiURit4whMaQgLOHm5maa7ZTL5Q53IXNWvPLhAbz5aRYkgd44tnkpgmVCAOaW3UqlElqtlkr7SaVStGqBG5dvwLHsy/AUeODbd+di4cyELh3zx3n7cWl3LQDg8aI58AsxrxhYY+WTgHmg6lx3BaqiJnySsh0AEDY5ACkvB1IzEbJZtKeZCFnAybUjtsuWUmV1hQVYO20CDBoNxr/yJlKWP2yX8fQ3dFUlxtYgqgdKpRI1ZaXIveNGmNraMGrl14ifNdutFnQVkGwvWWtaWlqo46VMJrPbWmPZR6xWq8Hn883WV3snhkwmk9laoVaraaxhK11vS2g0Guzbtw/XXXcdgHb3UVe4P91BsgX2nNiP6WtuBJfDxZrJK3Ht5Bm9+jyj0Yjm5mYqz9bY2AiBQECDYvLA2DvAYD8wROqGvdO1p7teZyCmB7W1taivr4dQKIRcLqeyOq7wkPUEOp0R19z4I3LO12LWlGi8968xtOIgEAjoRGetrNeq0ePuJzfjj78KweEAbz07DQ/eOeqqx9z5XA4Of3ABAHDL+gmIm9lxyd2avisJ+ByxCPQHkA2xQqHAhunnoW9gwPfj4rajoyCTy/pEWo9tiKFQKNDU1EQVMmQyGcrWrcaBpx4FVyDAoh37IB063OFjdAb0RG/c3tjz+MPI/+FbSK6ZBtlDj1PJP3snNvoTSFWUBMZ6vR5SqRRyubzP5iXiwkfW3paWFlqpJS019r6fTCYTrVqTdQSA2Wa5t0FtS0sLDh06hBkz2mMmd5DsoigqKkL8W2MBEQ8vDX8Ujy14kP6NMTHgcjoPZgnhjq1ZbDAYqGaxRCKBr6+vQwh3zc3NZg8FW3tRJBI5nfoEm/hCHP+Ic9FAIv6R4CrrxCXc9vg+GIwmvPTIUNw4N7nLQvNGI4MnX92FL38+DS9PHk79eQ8iB3VO+Mn5tQwb7jkGAJj20lBMeqprdsXWempJdUAm65tgsK9Asu2kBYZsaI4/W43ine3qFg+cvA6yRP8+Hmk7SHmfkM24XC5q3nsT6sMHEBifiBt2HQRvAFw/QlAmbRTE0KU7zpX2hvJsDn6bMg5cPh+3nSmAji+g95mlg9tAyjIbjUa6bhDiHZv/4mwVLmKyRX4AmGWZHVFNNRqNaGhooIkztnU3Sb50Nz5obm5GVlYWpk+fDg6H4zJVYeeKkpwAAoEApjIdOCIecury6e9NJhMW/HQXhsjj8PSkByHx+VvayWAwUMZpfX09mpub4evrC7FYjKSkJLuW5NggwTl5+AwGA0QiEeRyOZKSkpxiou8MAoHAjPhHFu+BQPyzVKIQCASIjZTiwTuG48NVZ7Dy/y7h7lumwte3awGLhwcX7/17BgaF+CM2SnTVABkAgof//Zqa3Pouj53dVxkXF0fPhWgy+/r60mDD1RZvdnBFbMGJGUFMTAyt0Kgnc2mQXH5E5TRBsmVPY319PSr/9RKO3LYYWoEAJ7MOIyQ2jm7OXAmkukaCK4ZhIJFIEBUVBalU6nTVEOnQ4ZCljoAi+xQKf/sVqQ/+kyodsd1NidKJZS+qK6Ej4l1aWlqfZfq7Ci8vL4SFhSEsLIwmGFQqFSorK3H+/HkarEokErs5nBIZObFYjJiYGMqRUKlUyMvLg16vv4L4e7VxMAzjdBsSW8CdSbZAdXU1QqZFgzM3AHF+0Tjx6A4AwI7Cvbjh12Xw4nni5PKdCOT50QxtQ0MDuFwuRCIRzRY7inBnKc8mFArpxOgqfaKELFNbW4va2lqquEBcqvrjAkCyxWRh02g0Zr3FpNVEqzNg/MLv0aY14JeVGRieKL/6h3eC/IsqBMt8Eeh/5S6fMTB4Xb4RRi0DSZwQD2XP6tWxANDJlwSRJMtD+jn742ZHr9fT4IrYERMFkI7K3mWHlVh17V4AQOrtUVjw+dXbX/oSjSXF4EqkUP2vl7murg4+Pj500eyvc4tWqzWTaetvffUX1q6G6mwOhtxxNwIGx1h9DduinFR22L2oHaluODs6It711vHOmUDmFlIh0Ov1NKaQSCQOIUszDIOWlhYaV9TX19OeahJbCASCK8bR0NCAkydPYsqUKS6VSXYHyRZQq9WQRMrAWS4DFxyUPn0SvjwfTP56Ic7W5uPW+AzcFr4QWq0W/v7+NLAJCAhwyILPzhio1WpwOByqsSmRSCgJx1XRn4l/lnbDxJ3wauWti6V1CJb5wtendz2H5ZcbMfWmnxAY4IWNXy3GoJArs5lfTdqFy6fqAA7wbPVCCIS2q4CQTCXJ3Gm1WjMijTPfuy0tLTS4qq+vpz2qXSXA6DVGvBmyEYzeBEm8Hx46PdNBI7cNdBoN6v5HIiM96Ox+RmfthzWZTGYybY2NjTS4kslkA4L3QFqASNBDXOYcRSLrKfqKeOcsIPcuuXZ1dXXUop7IzDmiQm0wGGhCR61WX7HpIrFPXV0dzpw5g8mTJ7uDZFcGkT+LeDkN5U2X8Wj4XZg3dCYOlh/Dxss78ObEZzE4JJpqFjuCcEf0T1UqFVpbWxEQEEAnOFcrX3cXzkz8I4QNElgQsiS7hOXI8Z0tUGDhvb+hqrYZoUFCbPjqBgxNkJm95vcHT+L0d+1yZXfvnorwdIldxmItePHz86MLYF8RSQnY144E9KT82NM+62+m7kbFMTUA4KnSefCROu+mgEDf0oLD/34WLZcrcf3Pa6nzGFFdIBtVsmg667Vja30782bM3mDLfbI1ucmc5AzXztmId84CUn0ksYBGo6HXTiKROKRCYDKZzHqq1er2+UwsFsPb2xvV1dW45pprwOVyXeY5cwfJLFRXV2PLli249957wU/zAwBcnzAdTyx/DIMGDYJMJnMI4Y7Ix7D7U9ki5QN5ougMzkD8Y2eL6+rqwOPxzLI2vdn5M4wJX/58GrXKFvz70Uk9+ozyy43IWPYbzhep4C8U4JdPMjBl3N9ayse+KMLWx7MBALM/SMPoZdZLurYG6TEk3x1xmSMuUo4og5NSPFmEyLUj16+3z/72FWdw5ONCAMCS38YjYXaoLYZtV6jzz2Ht9IkwarWY9Pb7GHr3fVe8pqPvzZEtNXq93qyNwhXaejqCyWRCxd5dyP/lJ0x+98NeOfCxiaZECpStnOOItaa/Ee+cBUStgn3tHCHjyobBYEBFRQWqq6vR3NyM6upqnDp1CjKZDK+88ordj+8IDOggWafT4cCBA9ixYwe2b9+O3NxcpKamQqFQAGgPmsePH4/x48cjOTmZ7mhtbbOs1+vNdog6nY62cRA1jIGcLe4J2MQ/cj3tQfxjy/solUqa6bdHZubQiXJcd+sv4HI52LP6Nowa3jNXtLqGNix5cD0OHq8An8/FF2/Mxk3zhgAAyrKUWDVjLwBg5D2DMfejETYZe3dACFWWur4kE2irhZuUc0lwTqpI9urdPLexAr/degQAMOGJBMx4eZjNPtueyPliJQ499zQ8vLxww+5DEMV3rHpCngfynZIMPLl2tlQ6IT2qpAXGlQmibJhMJqyeOBp1Becx+Z0Pkbz0Xpt8Ltu10d5zWUfEu76U2OvPIH3oZB1iSzuSdlBbbTbIpoZk+6urq5GdnY39+/cjPz8fY8eOxdKlS7F06VKbHK+v0W+C5JUrV+Kdd95BdXU1UlJS8PHHH2PMmDG9+syqqiqMGjUK1113HWbOnIkZM2ZAKpUCaJ+ILly4gPXr12PDhg04ffo0Ro0ahYkTJ2LYsGE04JLL5d3OdJFyJZtw5+PjY8ZodaXMR1/D1sQ/azt4R2Vf7n5yM1b/cQ5D4qU4tO5OCAQ9u0/atAbc98wWrNtaAAD48YP5yLw+EdomPd4MbrdcDxstxr17p9ls7D0BO5AlpX0izdUVu2VLEGMNtr6zo3prm6o0eC92CwAgcqIUd22fYrdj2RImhsGWmxaifM8uSIcNR+a2vfDoQimVVMXId00C2Z6aGbClBhUKBVpbW2mPqq0DcGfHmc8/weHnn4F0eCpu2H3ILscgVTFSVufxeGbkre5WxQYC8c5ZwLarVqlUMBqNlADYk2eFVGpIYFxZWYnTp09j3759KC0txYwZM5CZmYn58+dDIpG41CanXwTJq1evxh133IHPP/8c6enp+OCDD/Dbb7+hoKAAcnnv2P4mk+mqF9RkMqG0tBQbNmzAhg0bcPjwYaSkpGDixIlITU1FUFDQVbOURI+U/JhMJjPW6kCa4PsSPSH+OTLDcjUo1a0YOfsbKOs0eOGRiVjx4PgefxbDmPCvt/dg35EybP/pZvgL2wOfj4ZtRd2lFvC8PfBszUJwPZxnwmtra6NBEtvkgSguWLsObEm6uro6eHt7m73HkeXcD4f8ifrS1vbvtnoBuLz+UUpuqa7CmsnpaFOrkPLgPzH+P693+zMsrbhNJhN9hjrarLI3NaQixDatcTatd0dBo1Lih2FxYHQ63LDnMKTDUux6PHafN+HGEH6FRCKxOgcOdOKds4BcB7Zahbe3t1kLp7WYhWT7a2pqoFQqUV5ejpMnT2Lfvn1QKBSYNWsWMjMzMWfOHAQE9Lzlx9nRL4Lk9PR0jB49Gp988gmA9gc2PDwcDz/8MFasWOHQsZhMJlRXV2Pjxo1Yv3499u3bh4SEBEyaNAlpaWkICQmhWZKcnBzI5XJ6k1q67Lh7rfoeHRH/AgICzByK+qJXryOs/uMc7n5yMwR8D2RtuguJMb0j17W06qhyhslkwupbslDw+2UAwIOnroM0wTk0fS1hzS6YXCPCtlYoFFRejwTGfan3u+7Oozi7thwAcN/B6QhJE/XZWLqL4j83Y9sdNwEA5q3fjEGTp/b4s0hWmATMbH1pf39/urEhpXi225173mzHjntux8VN65Gy/GGMf+VNhx7bUqmHz+fTgJnL5dLnkhDvbN0q5UbPQTaeZMOq0+kQGBgIlUoFoVCIsLAw2ttfUlKCEydOYM+ePdBoNJgzZw4yMzMxc+bMAZP9d/ogWafTwcfHB2vXrsXChQvp7++8807U19dj06ZNfTY2k8mEuro6bNq0CRs2bMD27dsREBAAT09PKBQKeHt7Y8WKFZgxYwYiIiIGzE3VH8EwDJRKJSoqKlBfXw+j0Qgulwt/f3+EhoYiJCTEaRZnk8mERfevw/Z9lzA2LQw7f74FXK5tsr3vfXUUuZ8VI6qgPUO36Lt0DL0h3CafbU9otVqUlZWhtrYWra2tAEDlkiIiIiAUCvt4hO04+mkhtj3Vbo4z+/00jL7PMcRIW2Hf4w/j0uZNmLbyS0Re23sdbaD9flapVCgvL6cOpRwOB/7+/ggJCUFoaKi7/cwKSrZvxdZbF8NbLscdOYXg9lFWXafToby8HDU1NWhpaQEA6jQZHh7eb3WZBwJMJhPUajXKy8vxxRdf4Ndff4WnpycCAwNRX18PgUCAjIwMZGRkYPr06S6jWNEdOH2tSqlUwmg0IigoyOz3QUFByM/P7+BdjkFrayuysrJw+vRp5Ofng2EYyGQyGnD5+fnh3Llz8PHxQXl5OSX+Obsm7ECBpeY0cakaMmQIAgMDqZNaYWEhioqKnIYtz+Fw8OFL12HUnG9w7MxlHD9zGelpYb3+XFWdBu9/fRQiJRdRCAYAVOfUO2WQTNpmSBaZSMgFBwfTTDLJZh05cgRCoZBev75ctAeN+TvrX3FU1e+C5PGvvIlRT/0LviE9I40SMAxj1kZhMBggkUiQkJAAsViM5uZmKJVKlJSU4MKFC2a9x+4yfTvCp82Al1QKTW0tyvfuQuQMx2lvk1I8yTgS4t2QIUPA5/Mp8fb48eNd1oN3wzEg8puEo6NSqVBYWEh1mAUCAUQiEXg8HsrKypCXl4dBgwZBIpFg1KhRA27D6r5be4GVK1fiiy++wMyZM/Huu+9i6tSp8PNrl45rbW3Fjh07sH79erz44ovw9PTElClTMHr0aERHt+ssBwUFOb0BhivB0omKXeKNjo6+IngiEz/bBCM/P98pHP/CQ/3x2evXY3CkCKlDgq7+hi5AIvLGjv+7BbfcuR5od1DGhcM1mAHnUGEgiiXk+pHAKiwsDCkpKVdsPIVCISIjIymJRaFQoLS0FDwejwZcjt7wBA8PhIcnF0Ytg4rjaocd11bg+/qCz6qIGfV6eHTx/mdLNKpUKvD5fMhkMiQnJ19Bfvby8oJUKkVCQgLV066qqkJ+fj5VsSBtbQM1S+nB5yMu8wZU7N8Lk5Gx+/EsiXd+fn6Qy+WIjY29QoHJ19cX4eHhZtq+hYWFtPWJtGa4lZscA3Z/eE1NDdRqNfLz85GVlYUDBw4gJCQECxcuxLPPPov09HT6LFZUVFD1rw8//BC7d+9Gampq356Mg+Fut+gFDAZDl3bFOp0Oe/bswfr167Fp0ybo9XpMmTIF6enpiImJgVgsNjPAcMN2YGu4EodCtm5xd9UMOiL+kQqBK2x4Llc3YmXidgj0HLR4GDFj82hcN3lwn4yF9D4S0h2xEZZKpT3ST2ZLlJGeSZLlkslkDtEW/Xb6HpQfad+F9BdTEWu4tOV3HH7+Gcxbt9mqRTJb3UKhUNDAqjeGMYRlTwhkwN996APRbMKo1YJrxSLYFmAry9TW1tqEeEd6zdkeAGyux0DLUtoTpO+/pqaGZozPnTuHw4cP4/Dhw4iNjUVGRgYyMzORkpJy1bmUtCAOtE2N0wfJQDtxb8yYMfj4448BtC90EREReOihhxxO3OstDAYDDh48iPXr12Pjxo2or6/HNddcg7FjxyIuLo5mKOVyeZ+7H/VHMAxD3cCIXiRxKCSkIFt+p5bEPxIEONrx71yhEs0tOoxJtY1Bxbez9qL8QDsZ7rNBZXj79WtxxyL7Z5TZ2X4i88WWfPPx8bHZd8pu2VAoFJRca2/LYrapyM1rxyP+euc3FbGEyWTC7wtn4/Kh/ZCPGIWFW/6CB59vVnVRKpVoa2uzW6sEedbJsVpaWvrU0dIV0JHjnT2Id+wsM7lXSJbZ1s/6QAFJArBbKXJzc3Hw4EEcO3YMKSkpyMzMRGZmJhISEtzfbxfQL4Lk1atX484778QXX3yBMWPG4IMPPsCaNWuQn59/Ra9yfwLDMDh+/DjWrVuHjRs3oqKiApMmTcLYsWORlJRk1pLhyuL4vQWR1yPZJQ6HY6bn6YjsIPB3OZlMTsTxj6hl2Ov6bd1ThCUPbUREqD+O/bEU3l69X8h2PHsGWR+1B3JrpFV49I2JWHZLWq8/1xpIOwRZLEm2n/R/Oyo7qNVqzeTlSNaaODbairiZt74Ca29vNxWZ9HQipr041Caf62g0V1Zg9eR06BrqkXD/g5AtuR1KpRJcLtdMps1R2UFLxQVC3HSka2NfQd/SgqojhxAx/bpuv5e0MdXW1tLnz9GOd9acZsn160ymzI2/zZfIxqa2thY5OTk4cOAATp8+jbFjx9KMcVRUlDuO6Cb6RZAMAJ988gk1E0lNTcVHH32E9PT0vh6WzcAwDHJzc2nAXFBQgHHjxmH8+PEYOnQobckICgpymMWys8JSPsrSKc0ZNhSWjn9k4bEH8a+xWYuRs7/B5ZpmPLN8XI8tq9k483MpNi47DgCIvDsMd308rtefSUAyuOT6NTQ0QCgU0oDGma4fyWgzDGMW+PUmcG+sbMX78X8CAKKnyHHHlsm2GrbDQCoo+WtX4+LrLwFcLkZ9+g3iZlznFH3Clq6NBoMBYrGYzhGu0BZFoGtqxI/DE6BrasTtZwogDBt09fd0QLxzFsc79vVTqVTUuZHdyzyQQeQviYaxpevd5MmTqSpFSEhIn1/P/ox+EyQPJFhz+xs9ejQmTJhA3f4Gmrc9ydKSLBEA2ldsb6e03oJdgraF4581bNpxAbc8vBF8PhfHfl+K+MG9006uOduAz9N3AgCGLg7Hou/bN6Tqeg1e/eggXn7iGgh9u/6dsxc9os3Jdrpz5qCFOGSSoKKlpYXqLstksh4ZAb0XtwVNlzUQCHl45vICpzJssYbOvoP8117ExXVr4BcegRv2HYGnv3MZC7A3ZQqFAo2NjVTtxFk21b3FxrnXoerIIYx/5U2kLH/Y6ms0Gg0tw7OJd/ZsLbIFSJaZ3ctMiJ2EmzAQssx6vZ6uIUqlEpcvX8apU6ewf/9+lJSUYMaMGcjIyMCCBQtczvWuL+EOkp0cHbn9TZ48GSkpKWYBsyNLm/YGyRaTbB6R+GJb2vbHSYBN/CNkGFsQ/9jaydMmROH3b27o1fdj1DN4Q74RRh0DaYIfHjzVLi81/5412HWwBGnJQVj35WIESTvO6BB3PLKxEQgEZqS7/nqvkiwqIRP2RG3ht9uycG5DJQDgH0evRdBQ5wosgb83NuRcO8qm65oasWbKODSVliBu8U2Y8fm3fTzyzsFWO1GpVLQ9pKd2y86As998gQPPPA75yNFYtH0vAPsQ75wBBoPBrJdZp9Nd0cvsKtDpdHStUCqVqKysxIkTJ7B3794B5XrXl3AHyf0IHbn9TZ48GWlpaVQjlmQo+9tkz+5NJdbd7N5iV9SWJtkdhULRa+LfpbI6jJrzLbQ6I376cAEyZiX0amxfTvgLVdn1AAd4tmYhBL48HMu+jBv+sQ7KOg2iwwOx4avFiIsWAzBvgyHZxoCAABpAOnO2qqcgVstkM9DVftzDH17Azn/lAADmfjwCI+/uG/UQS/S0L7v6+FFsnHstkm5fiklv/rfPjC26C2uW8+yAq7+U9VtrqvHDsDiYGAZzdx9Gi8BzQDjeEc1fsmYQ23mybvTHzXhbW5uZVFtpaSmOHz8+oF3v+hLuILmfwtLtb+fOnRg0aBCmTJmCkSNHIjQ0FBKJBEFBQU7bjkBKuGSBsswW+/v7D4hWEgJbEP9e/egg3lh5GGHBfji99R5qN90TbFp+Atk/lAAA7tk7FYNGt7dwFJWosfDetSgur4c40AtfvDYVEcEcag0tkUhs0rvb38Buq1EoFNBqtWaZO/YmryxLiVUz9gIAUm+PwoLPR/XJmK2ZsvRU4aP+YhECY2LtPGL7gl3WV6vV8Pb2NivrO+N8RPrn/7p1MRpOn4T89ruRtGy5UxgfORrEcpkEzTqdjvaiSyQSp80yt7a2Uqk2tVqNS5cu4dixY9i7dy84HA7mz5+PzMzMAet615dwB8kugsbGRmzZsgUbNmzA1q1bIRaLMWXKFIwaNQrh4eFm0nJ9+ZCRbDHJGA+EbHFP0BHj/GoLn6ZNjyk3/oRbFibjgdtHgs/v+QJ59LMibHsyG8Df2U6SuSkoqsB9z+5B/qUmCPhcvPn0aNw0P6XftsHYGuwMlzWNYE8Pb7wVugmM3gRpoh8ePOk4tzRLrWjSH07GZosNtYlhYDKZwO3HARo74FIoFDAajWYbwL6eRy031LpD+1DwzuuQpY7A4r8O9NnYnAXsZ1CpVKK+vt5pNj2WbXdqtRqFhYU4evQo9u7dC39/fyxYsACLFi3CpEmT+l1V2JXgDpJdEGy3v82bN8PT0xNTp07FqFGjqNsfCZh7QjrqDtjZYpVKZaZkQHo4nTE740ywRvzrrITKMCZwub0PVEsPKfDddfsAAENvC0XyY2IolUqaIfXxDcSKd45jx/4SDI4IxIktd8NT4J7MrcGa21z2E41Q52kAAE9XzIe3yH7VHmLCQY7v4eFhJrNny2xjc9Vl7H5wGcImXoORjz9ts8/tS5D+XvIdNjU10aqXo6zOrbVmsYl3bSolvh8yGCaGwe05FyAM7b1VvSuBvelRKpXQ6/VmiieOWgvZgXFBQQGysrKwf/9+6nq3aNEiM9c7N/oW7iDZxUHc/tatW4dNmzbBaDRiypQpGDNmDGJiYiASiagWs636m0ifJgmMGYYxK3n1V8KIM6C7xD+dzgg+v/suSW1tbbhcXI0fR50AAPgn8THrx/grnLEMBgYv/Hcflt4wvNeKGgMFxERhxzM5KPy1Xall/PthSJ4badPWKLbbXX19PVV0sHdQd2HNL9j1wL3g8nhY+OcuBI3om1YSe4Jos3e06bBF5q8nJN/C9b8haNQY+EdE9vr4rgzy3ZJ1qr6+Hj4+Pma9zLYIUk0mEzVnIT3Glq53JDDuiuudG46HO0geQOjI7W/cuHGIj49HYGAg1WLujtsfO8tC+hp9fX1pUGxLIwY3zNFZdulYjhJPvPwXnn9kIhbNTuz0c9gSX0qlEs3NzQgICMD+26rQXKED39cDK6oWdkmq7MCxMoxJDXVnla+C3DVlWL/0GABg+PJghCzm0e+d3RPcVRDiJAmMW1tbzdzu7J0pY49j57134uKmdQiIjsENew6DLxQ65Nh9AUuXQY1GY5ah7E4fbHerRm7YBnq93qyXma2rLZFIuvXskHammpoauonKzc3FoUOHcPToUaSkpFBzj8TERHd7mpPDHSQPUHTk9jd+/HgkJibSjEVHpDGSLSY7cdKvR3bi7myx42HZp/jb9lr8uKkcwTIfnN66DP5+5j2URJCeTOQMw5j1XAoEAqy++TDyf78MAHgoeyYkcX6djmHXoRJk3rcW40eE4ZeVGQj0d98HHaGupAUfJW8FAMTMCMJtmyZR2TyiLuHt7U0DZmutSexrSIiTbHWNvupl1NbXYfXkdLRcrkTirXdi6oef9sk4+gLsPti6ujr4+PjQgNlawqCn/AM37ANrZkfduYbkWTxz5ozb9c4F4A6S3bDq9jd+/HiMHz8eycnJdEddWVmJ0tJSpKSkoKGhAb6+vjQodmeLnQtGoxGVl2sw49b1qKxpxaLrQrBi+Uj4+fnR3jyygLM1fi2v4b43zmHvq+cAAIt/SEfyovBOj7v7cAlueWgjmlp0SIqTYuNXizEoxN9u59mfYTKZ8N/Bm9FSq4VXIB9Pl88Hh9VLTq4TCZoB0OvEMAxUKtUVgbQzuXFWHtyP3zNmI3zaDFz/4xp4OKHCjr1BNjEk4CIb0cDAQACAWq22uYV9ybY/cf7/vkfswkWIW3Sjjc5k4IKdZSYJocDAQOzduxcTJ06El5cXlEolampqkJ2djX379uH8+fOYPHkyMjMz3a53/RzuINkNMxC3v3Xr1mHt2rU4c+YMxGIxWltbYTQaMWnSJDz//PMICwtDcHCwOzB2cvy5uxA3LN8ADw8OPn4uGaHy9nKtn58fQkJCEBoa2mkJt2DLZfx642EAwMQnEzD9P8Ouesyc/FpkLluLqtpmhMiF2PDVYgxLlNvmhFwMv950GAWb2zP1D5y8DrLEKzcUpBWmoqKCmicAgI+PD4KDgxEaGuqwVoruovrYEQSNTncHCGjvES8vL0dtbS3a2toAgAbHoaGhNusTP/bmqzj57huInrsAs777udef58bf0Ol0KC8vx/nz5/HSSy+hoKAAfn5+4HK5aG5uxowZM7Bo0SK3650Lwd006AaFyWRCbm4u/vzzT2zfvh25ubmIiYlBSEgIFAoFCgoKoFarsXHjRqSkpNCyblBQkEu5/fV3aLVamvXwggpjU0Q4cqYOP25WYusPN1Ox+suXL6OwsLBTMlDw8ED67+qchi4df3iiHHtW34aMZb/hfJEK197yM35ZmYGp49xkIksMGiOmQXLFMTUNkgm5j2SRDQYDpFIp4uPjIZFIYDAY6N+Ki4upYoxMJnMqm+XgMWP7egh9ho6Id1FRUZDJZOBwOPQ5PXHiBHg8nk0UR6JnzcHJd99A+Z6/YNRq4eGW1ewVtFotvYYqlYq63mk0Gnh5eWHw4MEQCoUoKCjAwYMH4e3tDZPJhOuvvx5hYW6Fkf4OdybZDQq9Xo/IyEiMHj0a119/Pa6//npERrYHNldz+yOmJSTYcus6Og5s+1mlUommpib4+/vTHjp1A4ORc75Fm9aA796bhxvmJNH3EuJfbW0t1fJly0oBwNvhv6OtTg+/EC88XjS3y+Oqa2jDzQ9twIFj5eDxuNi/9nakJAXZ/Pz7M0oOKPD9rHaZvdQ7IzH6+TAzmTjSRtEZ296R8m5udI6eEu/Y2tVEZlEkEvWIdGkymfBDcgxaa2swf8OfCJt0ja1Ob8CAPS921fWOYRicPn0aW7duxdatWxEUFIT169f38Zm40Vu4g2QLlJSU4JVXXsHu3btRXV2N0NBQ3HbbbXjuueeoNFNJSQmio6OveG9WVhbGju3fmROj0XjVRdVkMkGtVuP333+nbn/h4eGYMmUKRowYgZCQELOA2Rnd/vo72P2q7F5HEhhbfudvfXoYL394ELcsTMZXb82x+pk6nY5mJ1UqFby8vCCTyXDgwXJUHK4DADxZPBe+8q6T8bQ6A+575k94evLwxRvXO02G0xlgMplQX9uAj+P+gskI+ERyMXlVGA2Mu6MwQ9CZUYhUKnWb9dgBtibemUwmKt9H5MmIWlBXteV3Lb8HF377FSMeewrpz73Ui7MbOGhpaTELjIuLi3Hs2DHs2bPHzPVu2rRpXSKmd2UtdQW4eszkDpItsG3bNqxevRo333wzYmNjcfbsWSxbtgy333473n33XQB/X/C//voLycnJ9L0DzYaXoCO3v9GjR2PQoEHU7a8jbU83ugZimatQKFBXV0fdowhhq7OFs01rwK6DxZg9LbZLgRd74T/yegkqN7X3UM77cRhSFsR2a/JnGBOMRoa6/2na9ODzPMDjDbx+dmvW1TlPtKCxUAcOF1hRvRACX9tUYYjjGDlWbyyn3TCHLSzkuwq27jxxKSUBc0fZ6fxff8Keh+6HfMQoLNqxz2ZjcSWw22FqampQV1fndr3rAVw9ZnIHyV3AO++8g88++wyXLl0C8PcFP336NFJTU/t2cE6G1tZWbN++HRs2bDBz+xs9ejSioqJo/2tQUJDTko2cBSSgIotja2urWQm2O/qrvcHpH4vx+z9OAgBi7hEidKGgx9qtRiODWx7eCIYx4fv358PH27knSFuABDkkM8jlcs1k2v58NBunvi0GANy14xpETpDZZRykV51UCjw9Pc1UMdwk3M6h0WhoGwXRJJfJZNSIyREbDqKFTeYEoqtN7icyjuaqy/hxWBw4XC6WXiiDZ6DI7mPrDyAk2JqaGnod8/Pzr3C9y8zMxNixY93PRA/hSjGTe2vUBTQ0NEAsFl/x+/nz56OtrQ3x8fF4+umnMX/+/D4YnXPBx8cHGRkZyMjIMHP7e/PNN626/ZHsi9CFzQa6A5KhIqL2JKCKjY21mZOXul6DH9fn4pGlo7u0sIek/L3AejeJMGpUEhQKBUpKSpCXl3dVFzA2cvJrsfNAMbQ6I2bf+St++3wRZGLHBPuOBAmoSNbf19cXMpkMI0aMuIJYFzZSTIPkyhN1dguSPT09ERYWhrCwMBiNRtquk5uba6aR7TataAc706hQKNDc3EwdSocOHdonVTEOh4PAwEAEBgYiNjYWbW1tdONz6dIlCAR/b2DFQ4ZC4O+PVkXtgA6STSYT6urqaCtFXV0dzp07h0OHDuHw4cOIiYlBRkYGXn/9dbfrnY3gSjGTO5N8FRQVFWHkyJF49913sWzZMgCAUqnEDz/8gAkTJoDL5WLdunV4++23sXHjxn5x0fsCxO2P2GN35PYnl8vtapnrbCALMckyNjY2ws/Pj5ZSba1UoNMZMXzmVyi/3Ihv3pmDJfOTr/oeo47B6/INYPQmyJL88cCJ6+jfSO9kR8Q/a2PPOlmBGx9YD3V9G2IiA7HhqxsQE9m/F3G2Y6FCoaBKBiRT21nVpCa3Hp+P/QsAkLxoEBb/4NgePWtjDwwMpGN3VMXCGWCNeEfaxZx980AUUUjQrNVoIPnfNRxoBk8Mw0CtVpv1GLtd7xwDV4uZBkyQvGLFCrz11ludvub8+fNITPzbvreyshLXXHMNpkyZgq+//rrT995xxx0oLi7GgQMHbDJeVwbDMDh27Bi1x7Z0+2PbY9u6v88ZQPp9ScbYYDCYke7sTa565/MsvPT+Acilvjiz/V74C69+vC/G/YXqnHpwuMCztRnge1/Zk2yN+EcCZsvrWHBRhYxla1Fa2QCpyBtrv1iE0SmhNj1Pe4NcRzZ5kt1G0dWAijEweDNkE/StRgRG+uCf52bbeeSdwzILTgxnrF1HVwD7OhLTFnLf9ld1EHY/OnGNI9UMQv5z1eto6Xp38OBBnD59Gunp6Vi4cCEWLVrkdr3rAtwxUzsGTJBMFu7OMHjwYMrGvHz5MqZMmYKxY8fiu+++u2oJZuXKlXj11VdRVVVlszEPBDAMg5ycHKxfvx4bNmzAhQsXMH78eEyYMAFDhgwxa8noTAbL2aHRaMxId6QfVCqVOvy8tDoDxsxbhaKSOjx6zxi89vSUq75n0/3Hkf1TKQBg2YFpCB1xZSmNDcsFi8vl0v5NsVgMLpeLakUzFt2/Dtl5NfD24uGnDxdg1pQYW5yi3aDVas1so23V17vqur0oO9RuK/1kyTz4ypxDhYJte02uI3sj0B8DSMCxxLu+hq6pEQzXA3WNjbSNCwDdlPcH8lRHIHrhRFlEoVDg9OnTV7jeLVy4EKGhoS51Xe0Nd8zUjgETJHcHlZWVmDp1KkaOHImffvqpSwvBsmXLcPLkSZw6dcoBI3RNsN3+Nm7ciNOnT2PMmDGYMGEChg8fDrFYTAMtiUTi1AEzwzCUYKNQKNDa2kpL2IR015cT9ra9F7Ho/nXg87k4/sfdiIvuPOg9srIQ258+AwCYt3IkRtx1pZxPRyAlbBIws7VjvXz8sfSJP3HweDm2/rDE6bLJ7HYYhUKBpqYmq0Sp3mLHs2eQ9VEhAOCWdRMQNyuk159pa5B7mnwXbW1t9JnsD+V8ZyDeORpblmSgbNdOzF+/heols+cmpVJJ22tI0Ozs3wWpWJHAuKamBidPnsS+fftQUlKC6dOnIzMz0+1650C4cszkDpItUFlZiSlTpiAyMhLff/+92cUODg4GAHz//fcQCARIS0sDAKxfvx4vvPACvv76ayxdurRPxu1qMJlMKC0tpS0ZWVlZSElJwaRJk5CamkpJRqRX0BkyWjqdzqyNgsPhmJk6OFu2JmPZWuzYfwnXT43B2s8XdfpatunF6PtjMPu9tB4dk218QlzI/P0DoW7mY8r4BKcItCy1hklfKgkG7aH7nbeuHGvvOAoAuOZfSZjy3NV7xfsabHk50o9O9NF7ovFsa3REvBtIcpQ7770TRRvXYsxzL2HkY09ZfQ2pcimVSlodIfOWs1Tv2tra6JyhUqlw+fJlnDhxAnv27IFCocCsWbOQkZGBuXPnIiAgoK+HO6Dg6jGTW93CAjt37kRRURGKioowaNAgs7+x9xOvvPIKSktLwePxkJiYiNWrV2Px4sWOHq7LgsPhICoqCo8//jgee+wxM7e/lStXIiEhAddccw3S0tJoZpm4/jkqGCWLMFlgGhoaqD2wNRUDZ8Nbz07F7sMl2LrnInbsv4TrJg/u8LVBQ/9eeKpz6nt8TA6HA39/f/j7+yMmJoYS/zicWhw8eBB+fn5QNvDxx57L+PClWfD0dMwURTY4pJeRx+NBJpMhKSkJIpHI7puwsFF/Z/IrT9TZ9Vi2gq+vL3x9fREVFUXbFxQKBUpLS8Hn8802iI4KtDoi3kVGRjo98c4ekI8chaKNa6E4fbLD13h7eyM8PBzh4eFU9USpVCIvLw8GgwFisZhmmR25sdBoNFSqra6uDmVlZTh27Bj27t2L1tZWzJkzB++++y5mzZpFXe/ccDxcPWZyZ5Ld6Fdgu/2tX78ef/311xVuf4SNLpfLbZ71Yy8iSqWSOpr1xSJiCzz39l40Nmvxwj8nQi7pfKH5IOlPNJS1QiDkYUXVAnC4tt0A6HQ6VFRWY/otG1Cr1iItKQAfvTQJg6NC7dInapkJFQqFtL/Y0QorJpMJ70ZtRqtSC2+JAE+VznPqDVZnIMoC5LslxFR7ZeJdkXhnK1Ts34M/MuciIDoGtxzP6dZ72UkAYkZDnhF7KO8AoJl/Ehj31vXODTd6C3eQ7Ea/hjW3v6lTp2LUqFEYNGgQxGIxDZh7OqmSUh8pRwoEAjPSXX9ehE0mU5cXul9vOoyCzZcBAA/nzII4xj7a1jsPFOO2RzaiuVWP2Ag/PL98MOQSryuIf92FyWQyc7vTaDS0p9YZyu8/Zx5E4fZqAMAjZ2dBFN3/tcOttTwEBASYuf71BB0R7wiBsr9uMGyN1toafD9kMMDh4N7SWvB7IefHrrawNdwJ+a8nGu6k/YoExvX19Waud0KhEAsWLMDixYvdrndu9AncQbIbLoOO3P7GjBmDyMhIM6WMzrRf2a5WRDeWLOz9gdjSU5hMJuj1DAQC60H/3tfysO/18wCAG34aiyEZg6y+zhY4nVeNRfevQ42iBWHBfvju3Wsh9jNcQfy7Wgmdrc6gVLarR5D39XRhtxf2vn4O+147BwBY9F06ht4Q3scjsj3Y5hdqtRpeXl5m8nKdbX4siXdCoZA+z676TNoCqxIi0aZSYvGug5Cl9IxLYImO3EDZ5L+OQOZXdmDsdr1zw1nhDpLdcEmw3f42bdoEo9GIqVOnIj09HdHR0WZazL6+vtBoNGj8n0QSCaZIibg/SyR1FUUlajz56i4MCvHDJ6/Msvqa/D8qsXpJFgBg0tOJmPbiULuOqbSiARnLfkPBJTUC/DzxyycLMTk9gmaeyAbGMhtMMv8kEOsvOr+F26vwc+YhAMDYh+Mw882UPh6RfWGtTcJSXs4a8Y5UFPo6899fsHbGJCiyT+H6/1uLqJnX2+UYra2tZuQ/b29vGjALhULw+XzU19eb2UGfO3cOhw8fxqFDh6jrXWZmJlJTU92BsRtOA3eQ7IbLw5rb35QpUxAVFYW6ujpkZ2dDrVbj22+/RXBwsNMHU/ZA1skKzLjlZ3A4wIF1dyAtOfiK19SXtuDDIVsBAPHXh+DmtRPsPi51vQY3PbABh09WYP61cfjlkwyzv7e2tqK2thZVVVVobm4Gl8sFwzDw9/dHcHDwVbNazoRWpRbvRP4BAIgYL8HSnVP7eESOAzu7WFNTg7a2NnC5XJhMJojFYoSEhAxI4p0tcOyNl9FUXoah99yPoJGj7X48g8FAe9LPnDmDRx55BGlpaUhOToanpydOnz6No0ePYvjw4cjMzHS73rnh1HAHyW4MGLS1tWHPnj1YtWoVduzYgcbGRnA4HMTExGD27NkYP348AgICaAl3oPU23vXEH/ht83mMGxGGnT/fcsW5m0wmvBX2O7QNeviHeeOxC3McMq42rQFvfZqFJ+5Lh9C3nfRFCJSkjcJoNEIkEkEgEECj0aC+vr5Txz9nxUdDt6KuuAU8bw88W70AXJ7rZ9SsZZRFIhF4PB5aW1vN3OJkMpnTq8YMZBiNRtorTq7njh07sGfPHtTU1AAAwsPDsXjxYtx6660YMWKE+1q64dRwB8luuDyMRiNuvPFGbN++HSKRCHPnzsWcOXMwZcoUFBUVWXX7S05Opi0Z/d3tr6uorG5C6qyv0arR47v35uGGOUlXvOa7mXtRerC9HeWp0nnwkTrOGY5tIrBxRxGmjg1CcJDcqp6rNae43hL/HIF1dx7F2bXlAID7s2YgeHhg3w7ITmBLximVyk6Jd3q9nr6WEMZIwDzQ1SucAeT6EHMPpVKJU6dOmbneZWRkICMjAx4eHti2bRs2b96MHTt2wM/PD4888gieeeaZvj4NN9ywCneQPABQUlKCV155Bbt370Z1dTVCQ0Nx22234bnnnjOTY8rJycGDDz6I48ePQyaT4eGHH8bTTz/dhyO3Hb777juMGDECw4YNs5q5YLv9bdiwAdnZ2RgzZgwmTpyIYcOG0V7IoKAgl16Y3/r0MF7+8CDCgv1weus98PUxl+va+mQ2jn1WBAC4ffMkDJ4aZLexmEwmM5m2xsZG+Pv7Y/1OBT7+IQ9zZ8Tiu//Og7dX5yX4jhz/iL62M5Xwsz6+gB0r2qW65n4yAiOXdqxd3d9gC+IdWwdZoVBAq9Wayct5ejqHnbczQVtfB56vEB42vM91Oh0l3qlUKtTU1ODUqVPYu3dvl13vdDodDhw4AIPBgJkzZ9psbM4O93rcv+AOkgcAtm3bhtWrV+Pmm29GbGwszp49i2XLluH222/Hu+++C6BdSi0+Ph4zZszAs88+i9zcXNx999344IMPcN999/XxGTgWbLe/DRs2ICsrC2lpaZg4cSJ1+yNBllQqdSqFhN5C06bHyNnforSyASseGIcX/jnJ7O+nfyjB78tPAACufX04xv8z3qbH7ygIIoQuT09PrN+aj3uf3gKtzogxqaFY81kmZOKuSVuxJac6Iv71JcqylFg1Yy8AIO2uaMxfObJPx9MbdOR4R75rb2/vXn++tU0UW17OXcoH/lg8DxV7d2PGF6sQt+jGHn9OW1ubmYZxZWWlmevdzJkzkZmZ6Xa9uwrc63H/gjtIHqB455138Nlnn+HSpUsAgM8++wzPPfccqqur6W52xYoV2LhxI/Lz8/tyqH0Kk8mEqqoqbNy4ERs2bMC+ffuQmJiIyZMnm7n9kVKxM2Ule4qN2wtw6yObMCReiqwNd4HH6outyq7DlxN2AQCGL4lAxjdjen08vV5vJtPWlXL6oRPluOmBDahraENMZCA2fHUDYiJF3T42cfyrra1FQ0MDDbJIdtPR0LUY8GbwRpgYICQ1EPcdmuHwMfQGRIuaBMZardZsQ2nP50Or1Zq1ZRA9c2eyV+4L/JSWhKbyMszf8CfCJl3TrfcSYizb9e748ePYs2cPdb3LyMhwu971Eu712HnhDpIHKJ5//nls27YNJ060ZwXvuOMONDY2YuPGjfQ1e/bswbRp06BWqyESdT8AcTV05PY3depUjBw5EkFBQWYBc38t/ZpMJvz6+zlkXp8AT4F5ltygNeIN+UYwBhPkQ/yx/Ph1PToGkYxSKBSoq6vrETEr/6IKmcvWorSyAVKRN9Z8lon0tLAejQcw73kmGr59Qfz7dNQOKM43gsvn4NmaheB5OndrjzXiHbv/uy9ak9jEToVCAYZhzNoyXGEz2xU0X67Ej8PjwfHwwN1FlRD4+XX6epKdJyoj9fX1KCkpwdGjR81c7zIyMjB9+vQ+r7y4CtzrsfPCderEbnQZRUVF+Pjjj2lpBwCqq6sRHR1t9rqgoCD6N/dDCXA4HEgkEixduhRLly6lbn/r16/HE088AYlEQt3+wsLCIBKJEBQUZJPSsiPB4XBw84Jkq3/jeXpAluiPmrMNUF5ogqHNCJ7X1YMgIvFFghZiPiCTyTBkyJAefT+JMRLsXn0rFt+/DqfzajD/7jXI23U/pF1svbCEQCBAWFgYwsLCzIh/p0+fdijxLyQ1EIrzjWD0JijONSIkzfmePb1eT68lm3iXkpLiFKowHh4edNNlMpnQ2NgIhUKB0tJS5OXlITAwkP69M2Oh/o7qo+265pLkYR0GyKQFiWgYNzQ04OLFi8jKyjJzvVuzZo3b9c4OcK/Hzg333d6PsWLFCrz11ludvub8+fNITEyk/6+srMSsWbNwww03YNmyZfYeokvD398fN998M26++WYzt78XXngBnp6emDZtGkaPHo3IyEgzpYz+VJbU641Yvfk8lswbQtsugocHouZsAxiDCYrzHQdx7AyjUqkEwzCQyWQYPHiwzQhzwTIhtv90M+56/A/Mnhbb4wDZEjweD0FBQQgKCgLDMKirq4NCocC5c+dgMBjsSvwLSRUh55cyAMDl7DqnCZI7It4NHjwYQqGwzwPjjsDhcBAQEICAgADExsZCo9HQKkZhYWG/MZvpCaqPHQEAhKSPM/s9uy2GBMYFBQXU9S4oKAgLFy7E008/7Xa96yLc67Frwh0k92M88cQTuOuuuzp9zeDBf7PjL1++jKlTp2L8+PH48ssvzV4XHBxMdSwJyP+Dg680lnDDHD4+PlTmSKfTYffu3Vi/fj3eeOONDt3+5HK5UwcXJpMJc5euxsHjFWht1eO+W9stbYOGBwA/t7+mOqfeLIiztB0mGcbhw4df1Xa4p/D1EWDNZ5lm32O1ohkysQ88PHp/PC6XC4lEAolEgoSEBEr8Ky4uxtmzZ21O/AtJC6T/rjpdDyzt9Uf2CB0R7+RyOZKTk/tVdYQNb29vhIeHIzw83KxikJ2dDQBm/fD9PWta9b9McnD6OLrZI4FxY2Mj8vLycOjQITPXu1dffdXtetcDuNdj10T/ngEGOMhk3hVUVlbS3tlVq1ZdMQGOGzcOzz33HPR6Pc2M7dy5EwkJCe7STjchEAgwa9YszJo1C59++il1+/voo49QX19PA+b4+Hj4+/sjKCgIcrnc6UwSOBwOMq9PxMHjFXjlowNYPCcR4kBvBA8LpK+pzqlHU1MTLb03NTUhICAAMpkM8fHx8PHxccg5sY+hULfiult/xtAEOb55Z85VJeK6exx/f3/4+/sjNjaWEpuqq6tRUFBgE+Jf8PBAgAPA1E6UdCQ6It5FRES4DDGVDcuKAWkJKiwsRFtbm5kaR3/rv9U1NUF1tl1OsDFQjP3796Ourg5nz57FwYMHceTIEep698knn7hd73oJ93rsmnAT9wYAKisrMWXKFERGRuL77783I9KQXWlDQwMSEhJw3XXX4ZlnnsHZs2dx99134/3333dLztgIDMPg2LFjWLduHTZu3IjLly9j0qRJGDduHIYMGQI/Pz8z8xJnWLAMBgbjMr7DuQtK/OO2EfjvCzPQrNDgv1FbAAABQ/kY/oafGSmKrfXZF9h5oBg3Ll8Pnb77EnG9gS2Jf5+kbYfqQhM8PLl4tmYhPPj2y+oRkhsJjIG+J945A9jycg0NDRAKhTQQ8vPzc4rn0xpIdrzy4kVcWvsrmoov4tLQEThw4ABOnTqF9PR0ZGRkIDMzE9HR0U57Hq4K93rcv+AOkgcAvvvuOyxdar1my778bPFyqVSKhx9+2O2EZCcwDIOcnByrbn9Dhw6Fv78/DZj72iFuT1Yp5t61Gh5cDn58dzz8vLU4dnc9tAoGfKEHnq6YBx7fuYpSbIm4wRGB2PDVYsRGiR12fGuOfyRg7sr1XL/0KHLX2M95zxrxjgTGzkC8czYQh0Dyw+PxzNoy+ro1gVxPYu5BXO8OHDiAvLw8M9e70NBQ9/XtQ7jX4/4Fd5Dshht9jI7c/iZNmoRhw4ZRJj4hijkqs8fOpD3z9ikczWnAhJFBWPt5Brbck4sLf1YBAB45OwuiaKFDxtQdFFxUIfO+tSipaIAk0Bu/fd47ibiegk38q62thdFopFKBHZnRHP7wAnb+q71UPv/TkUi7M/qK13QXhHhHZPcI8U4mkzl1b7yzgX09iYNjX1RStFqtWWBcW1uLkydPdsv1zg033Ogc7iDZDTecCB25/U2ePBkpKSkQiUSQSqUICgqyudsfuydToVCgra2NktIaWniYsOgn6PUM1n+5GIL9Gux/8zwA4MafxyFpgeODz66gRtmCG/6xDidzq+HlycNvn2di2vioPhtPR45/ltraJftr8f31+wEAo+6LwZz303p0rObmZhpI2drxzg3z79iyJ5/Iy9kyOCWud0TDmLje7d27F7W1tWaud87GcXDDjf4Id5DshhtOis7c/kaMGAGpVGpmXtKTDBa7LUCpVALomN3/r7f24PTZarzz/Ax45Ouw5pZ25vzkZ5Mw9XnrusrOgJZWHe56/A/kX1Rh9+rbHNKf3FUQ4h/peyXEvwAvET6O/QsAMGiMGPfsmdalz+uIeEeuqasR75wN1tRdyHcfGBjYo7YMYu5BpPfKy8tx/Phx7N69Gy0tLZgzZw4yMzPdrnduuGEHuINkN9zoByBuf5s2bcKGDRusuv2RjKRcLu/U7Y+U3ZVKJdRqdZd1YnU6I/h8LjgcDuqKm/HR0G0AgIQ5IViyZoJdzttWMBoZ1KpaESL/uy3EZDI5VaaN2CoT4t/JfzRCc9kInhcXK6oXwINvvc3GTbxzTljTCScbls70tdnSeyQwZrveAcCCBQvcrnduuOEAuINkN9zoh2C7/W3bts2q2x8JmAUCAWpra2mPcUtLS68dx0yMCW+FbYK20YCAcB88mj/bDmdpP3z32xls33cJ37wzFz7ezpddNRgM+PXWg7i4uT27P+pTEQaPCaUZfqPR6Cbe9SMQx0mSZW5paaGtL97e3pBKpWhsbKStFI2NjVZd7xYtWoTJkyf3e/1mN9zoL3AHyW640c9B3P7Wr1+PLVu2wMvLC5MmTYJQKER5eTlOnDiBa665Bk8++SSCg4MhlUp7VXava2jDGysPweuHJniUGwAAT5fPh7e4b6XfugqluhVDpn+BllY9RqeEYM1nmZBLnK9Mfei9Avz1Qi4AYPp/ExE4EVAoFDAajTCZTPDy8kJISAiCgoLcxLt+Bo1Gg9raWlRVVeHuu+8Gh8NBamoqZDIZysvLceDAAep6t2jRIqSnp7srAm640QdwB8luuOEiqKmpwcaNG/H999/j2LFjMJlM4PF4GD16NObOnUvNS+Ryea8Cq71ZpZhz12pc2yBBWlMAAOCOPycj+hq5rU/JbmBLxEWHt0vExUU7TiKuK7i4uwY/zTsAAIjIECL8Lh4CAwPh5+dHFRZaW1utEv/ccE4wDGPWGtPY2IgTJ05g8+bNuHDhAoB2R8Brr70Wd911F6699toeVXrccMMN28AdJLvhRj9HdnY2li9fjuPHj2P06NGYN28e5s+fj4SEBBw6dAjr1q3Dpk2bqNvfuHHjEBsba6bF3F2zi5seWI/S32twcx0HBvAx/s1JGHdjADhaLUwREXY8W9vhwiUVMpa1S8SJA72w5tNMjBs5qE/HxCbeVRbV4MCNtQCAkHR/3LVtyhXkTEvDC1s4/rlhW5DeZDZBMzc3F4cOHUJWVhaGDx+OjIwMLFq0CDExMTh06BB+//13/P7777h8+TKuvfZarFmzxt177IYbfQB3kOxGv8Zrr72GLVu2IDs7GwKBAPX19Ve8xlrw98svv2DJkiUOGKH9UVNTg82bN2POnDnUsckS1tz+Jk+ejPHjxyMxMdHM7a8rLPyiEjWeveYNrFd+Ax08cWLKc5iS9y7Q2grt1q1gRo60x6naHGyJOE+BB755Zy4yZiU4dAwdEe9kMhl+Gn8MTVVt8BLx8XT5/E43MkQ3lygreHt704DZLQfmWBgMBkrCVCqVqKurw5kzZ7B///4uu96ZTCacP38eBw4cwP33398HZ9H3cM/vbvQ13EGyG/0aL774IgIDA1FRUYFvvvmmw0l01apVmDVrFv1dYGDggM3MELc/EjBfuHABEydOxPjx4zF06FD4+flBJpNRxQxrATOnrAyc4WkQ6LUwgQMPMDCRnkkvL7SdONFvMsotrTosfWIztuwuwr//ORHPPDDe7sfU6/U0iFKpVBAIBDSgDQgIoN/5/y08gKKdNQCAxy7Mhn9Y10rvRNqPBGnddfxzo/sgrnw1NTVQq9VQqVQ4deoU9u/f73a96yHc87sbfQ13kOyGS+C7777Do48+2uEkumHDBixcuNDh43J2mEwmFBQUUPOS7OxspKenY+LEiRg+fLhZ+V4qlf5NHqqpgeeYdECpggeYvz/PwwMQi6E5ehQICuqjs+o+jEYG67bm44Y5SXYLXogRBNvxjny3HfWH//VCLg69VwAAuGXdBMTNCun2ca05/hEpMlsb0gw0aLVaKtVGqgEnT57Evn37UFxc7Ha9sxHc87sbfQV3kOyGS+Bqk2hoaCi0Wi0GDx6Mf/zjH1i6dKl7wbJAV93+SMDsuXs3vDIzr/ictvXrwcyc2QdnYDs0t+jw1mdZePbB8T2WiDOZTGZGEM3NzQgMDKQZ3a443uWuLsP6u48BAKa9NBSTnkrs0VjYY2psbKQBs5v4130QZQqiYXz58mWcOHECe/bscbve2Qnu+d2NvoI7heCGy+Pll1/GtGnT4OPjgx07duCBBx5Ac3MzHnnkkb4emlOBw+EgKioKjz/+OB577DHq9rd+/Xp8/PHHSExMxDXXXIMRI0Yg1MMDUx99FAzHA1yTkX6GycMDnvff3+8yyZb4x7NbsWF7AfYfLcNvn3ddIo4Q70gQShzvIiIiIJVKu+2KGDQsgP679mxDt95rDRwOBwEBAQgICEBsbCwl/lVVVSE/P5+SOWUymZv4xwLZ7NTU1KChoQEVFRU4duyYmevdO++843a96wO453c37Al3JtkNp8OKFSvw1ltvdfqa8+fPIzHx76xaZ5kGS/z73//GqlWrUF5e3tuhDghYc/sbGxKCreXlEBiNAIcDLvO/nmSTCfD27lc9ydZw+EQFbnpwPdT1V5eI64x4J5FIeqVva9QzeEO+EUYdA2miHx48ab8MPZv4p1KpqBPjQCT+Ede7mpoa1NbWorGxESUlJThy5Ah1vZs/fz4yMzPdrnfdhHt+d6M/wR0ku9FjMAxjFwIQWaQ7w+DBg82yct2ZRLds2YK5c+eira3NXV7uARobG7F582bkfPMNnt+9GxouFz9Nn477jxyBQK/Hmfffh/fkyZDL5f1a47UziThL4h2fzzeT07Plc/HFuL9QnVMPDhf4lyIDPC/7m0pYEv88PDxowCwSiVyS+Edc8UgrRVNTE4qKimhg7Ha9sw3c87sb/Qnup9yNbkOn00EgENhtoSRZOHshOzsbIpHIPYH2EP7+/rjllltwyy23QJOfj+NZWTi1ezfSuFz4+/kh4eBBjNZqERERgYCAABo8CoXCvh56txA/WILdq2+jEnFz7lqNN59Ox8gh3mbEu8GDB9vV8S5oWACqc+phYoDa840ITRPZ5Ths8Hg8BAUFISgoiBL/amtrkZeX51LEP4ZhqC41CYwLCgpw+PBh7N+/n7rePfnkkxg7dqzb9c4GcM/vbvQn9N/ZzY0+w48//ogffvgB33zzDWJjY6/4u70yzNZQVlYGtVqNsrIyGI1GZGdnAwBiY2MhFArxxx9/oKamBmPHjoWXlxd27tyJ119/HU8++aRDxufq8E5MxOzERMxeuhQ6nQ67du3C+vXr8dprr4FhGEybNg3p6emIjo42My/x8/Nz+vK9yWSCr5cJn748Fo+9fACHT6vw6icnsP2HeRgyZEiXiHe2QNDQv/uSa3IbHBIks8HlciGRSCCRSJCYmEiJf5cuXcLZs2f7HfGP7XpHCJV5eXk4dOgQDh48iMGDByMjIwOvvvoqUlNTXTJr3l/QV/O7yWTCL7/8grS0NCQlJdngTNzor3C3W7jRI4hEInz//feYP38+jEYjPDw8YDKZHB743HXXXfj++++v+P2ePXswZcoUbNu2Dc8++yyKiopgMpkQGxuL5cuXY9myZe7Fz44wGAw4ePAg1WJubGzElClTqNsfMS8JCgrqttufPWGNeNceIErxyY/5uGleMkYM674MW29waXcNfvyfPXX6A7GY9U6qQ4/fGQjxj/TtOivxj7je1dTUUDtoa653mZmZSEqynwygG91DX87v9957L6qqqvDkk09i6tSpDk3+uOE8cAfJbnQbBoMB99xzDzgcDr777jv6+3feeQcrV67Epk2bkJKS0ncDdMOpwDAMjh49ivXr11/h9peUlARfX1+aYe6LfteeEu+Onq7EsER5jyXiuoqW2ja8G70ZADB4qhy3b55s1+P1FM5G/DMYDDSAVyqVaGhoQHZ2Ng4cOICTJ092yfXOjYGLpqYmvPPOO/jtt99w5syZbivTuOEacAfJbnQLZDf9ySef4LPPPkNeXh7Ky8vx9ttv4+eff8Ybb7yBu+++u1/3KbphP3Tk9jdhwgQkJydTtz+5XA6JRGK3gLkj4p1MJuuSLffJnCrMvP0XJMfLuiUR1xOYTCa8E/EHNGod/EK98XjhHLsdy1boK+KfTqejgbFKpUJdXR1OnTqFffv2IS8vD5MmTUJmZiYWLlyIsLAwd2DsBhiGgclksroZZhgGMTExuOmmm/Dss88iICDAyie44cpwB8lu9AgXL17EggULcMcdd2DHjh3Q6/X497//jenTp/f10NzoJ+iK259UKkVQUBAkEkmvN15tbW00gOqq411HOHKqEjcuXw9VvQZRgwKw4avFiB8s6dX4OsO3M/agPKtdEWBF1QJ4+ts3e21LsIl/CoXC5sQ/9nVVq9VQKBQ4deoU9uzZg0uXLmH69OlYtGiR2/VuAKKjFkDSImgJpVIJqVQKoH0jzefz8cUXX2DVqlV46qmnsGjRIruP2Q3ngjtIdqPHGDZsGPLy8vDAAw/gP//5DySS3gcJDMOAw+G4F7IBBku3vyNHjiAtLQ2TJk1CamoqAgMDIZFIaLaXz796kMh2vFMoFGhqauq2411nKCxWI2PZWhSX10Mc6IXVKzMxftSgXn1mR/jjoZM4taoYAHDP3qkYNNp+Abk9Yc3xTyKR0PaWrhL/NBoN1TBuaGhAVVUVjh8/buZ6l5GRgblz5zpVz7sbjkNBQQESEhLo/ztaW9RqNZ588kmsWbMGI0eOxJIlS7B8+XIYDAbweDzU1NTgzjvvREREBL788ktHn4YbfQx3kOxGt0B25uXl5XjyySdhNBqxdu3aq76+I5D2jbq6OggEAqci+7jRNzCZTGZuf/v370diYiKmTJmCtLQ0SCQSqqggl8vNegUttW4J8Y5Yadu6r7BW1YIbl6/H8TNVEPA98NXbs7F4tu3Z8FkfX8COFTkAgAWfj0Lq7VE2P0ZfoDvEv+bmZnpdievd8ePHsWvXLup6l5GRgeuvv949jwxwrF69GmvWrMEXX3xBM8MEOp0OP/74I4qKinDjjTdCpVJh06ZNyMzMxJYtW/Dee+8hJycHQ4cOpe9ZsWIFTp48ic8//xwxMTGOPh03+hDuxlE3eoQzZ87g/PnzWLFiBYCOy1ckQDYa262LLV9D/r5q1So888wzeOqpp/DCCy9ckeXrC+UMN/oGHA4HoaGheOCBB7B8+XIzt7+vvvoKERERmDZtGkaMGAG5XA5vb2+cO3cO586dQ0ZGBkwmE2QyGeLj43vteHc1yCW++PP7Jbjnqc34fWch7nzsD4gCvDF9QpRNjyNL8Kf/VhQ02vSz+xK+vr7w9fVFVFSUGfGvqKgIWq0Wf/75J6655hqEhISgpaUFJSUl1A7aZDJh/vz5+PLLL92ud24A+DvpcurUKfB4PEilUhgMBnC5XOzYsQMNDQ3YvXs3Dh48CJFIhI8//hhDhgzBl19+idTUVEydOhVbtmzB119/jbfeeotWNpKTk7Fv3z7U1NS4g+QBBneQ7Ea3QALVs2fPgmEYXHfddQDMg18S0B45cgQVFRWdZnY4HA4MBgPOnTsHT09P/PTTT/jXv/5F/97Q0IDW1laEhIS4A+UBCA6HA4lEgrvvvht33303dftbvXo1Vq1aBS6XC51OB39/f0ycOBEcDgcREREICgpymNufjzcfP324AM++tQfFZfWYMtb2dtyypL+DZGVBk80/3xng6emJsLAwCIVCeHt7Izs7G0VFRfjll18AtM8rQqEQixcvxq+//up2vRtgIEXvztYALpcLhmHg5eVFzYvIPfLSSy+htLQUGRkZOHnyJHg8HmbPno3y8nIzQt6tt96K7777Dk888QTCw8MBAKNHj0ZBQQHEYuvW9G64Ltyif250GyUlJdi9ezcSEhIglUph2bFDJrGWlha8/fbbCA0NRUJCAi5dumT2OvK+7OxsKBQKjBo1CgKBAM3NzfQ1f/zxB8LCwtDS0uIOkAc4Kioq8OOPP2LVqlX4888/kZCQgHnz5mH69OlgGAYnTpzATz/9hN27d+PAgQPIysrCxYsX0dzcfMU9amt4eHDx9r+m4+ePF8LDo31a1emMaGrW2uTz/Qd5g+/bvhFV5LtOJhloz/6pVCqcP38e+/fvx6FDh/Dnn39i3bp1OH36NEJCQjBz5kzMmTMH3t7eWL16Nb755hts2LABTU2uuWFw40qw+4kZhgHDMFZfx+VycebMGcjlcuh0Ovrs33zzzWhpacGYMWPg5eUFHo+H++67D3q9HsXFxfT9d9xxBy5duoRz587R30VGRoJhGLS0tNjxDN1wRriDZDe6DR8fHwwdOhRz584FgA4nq+nTp+Po0aM4fPgw7rzzTrort8Tx48dRW1uLG2+8EcHBwdixYweA9iB7//79SEtLg6+vL23ZANrbN1y9nf61117D+PHj4ePjg8DAQKuvKSsrw5w5c+Dj4wO5XI6nnnoKBoPBsQN1AEwmEyZNmoS1a9di7ty5KCwsxJkzZ7B69Wps374dtbW1+Oabb+Dt7Y1XXnkFy5YtwxdffIGdO3fi4MGDOHz4MAoLC9HQ0GDX+4bP96DjffjF7Zhxy8+orO59IMfhcCCNb88m15e0wNBmvMo7nBsMw0ChUCAvLw/79+9HVlYW/vjjD/z3v//F7bffjp9//hmpqanYt28fLl68iE2bNmH9+vUoKyvDzp07ERUVhZdeegmPPvpoX59Kn2IgzRF1dXVYsmQJsrOzweVyrcoIkjUiICAAZ8+ehUAgoOvThAkTEB4eDpVKRV8/c+ZM6PV6nD59mr4uIiICcXFx+Ouvv6DVtm9yCwoKMHbsWHeiZgDCXatyo9uQy+V477336P876/nkcDhITk5GcnKy1b+ZTCacOnUK/v7+uPfee/HRRx+hra0NwP+3d+dhUZWLH8C/M4CmojLKLqaQK1xRAkTQyxXEDNHcJSP30u4tVzKX61JyzQXLJXdRsQX1Km5dzSLc2ERFQUBRy4gUBhQQYl/m/f3Bb07OEdRMReT7eZ55isOZc97xObzne955F0CtVuO7777DzJkzpf3l53yRu2CUlZVhxIgRcHV1xbZt2+77fWVlJXx8fGBubo7o6GhkZGRgzJgxMDAwwKeffloLJX56FAoFUlJSapz9oEGDBvD29oa3tzc2btyIyMhI7Nu3D6tWrUJ+fj48PDzQo0cPndX+TE1NYWRk9FSun4ysAvxw+hdk3SnEP0Z8hdAtw9C1s9lfOqZxh6bIuJgLoQFyUwth0qnZw9/0HKmsrJTmptbONpKYmIjIyEjExMSgS5cuGDp0KNauXVvjqndKpRLOzs5wdnbGkiVLpBBTX73odcS9M1KoVCqEh4ejW7du0Gg0+Prrr+Hl5YX+/ftL9wFtcHZ3d8ecOXMghJC2OTk5oVWrVkhJSUFhYSGaNGmCpk2b4tVXX0VsbCzUajUsLS0BAH379sXu3bvh7+8Pc3Nz3L17F2q1Gt26dautfwqqJZzdgv40IYRO5fO4x1AoFEhOTsbUqVPh6OiIFStWYOLEiSgqKsKuXbvw7bffYtCgQVCr1TA1NQUAnDlzBkeOHIFKpcLbb78tba/u2I+6/XkXHByM6dOn4+7duzrbv/vuOwwYMADp6ekwM6sKYJs2bcLs2bNx+/ZtrhCFR1vtz8TEBGZmZk98kYtfb+Zh6KR9SPk5G4aNDfDVmkF4zd3msY93IiAZp5ddAQCMCu2JDq8/2+WxH4d20ZbMzExkZ2cjPz8f8fHxOH36tLTq3eDBgzFs2DCuevcXvEh1hBACGo3mvsaX7OxsdOnSBfn5+dBoNPD29saCBQuqDa6XLl2Co6MjIiIi0KNHD2lg+YIFCxAREYHAwEA4OzsDAHbu3Ik5c+bgyy+/RN++fQFUTQuXn5+Ptm3bAgB+++03REVF4c0333yqn52eP+xuQX/avU/sj0v7bHbmzBkUFhbCzc0NAGBmZoa0tDQAwOHDh9GhQweYmpqioKAAmzdvRs+ePZGYmIiQkBB07doVISEh1ZYPqFr1695nwBftBqxtfdPe/ICqrw/z8/ORnJxciyV7fiiVSri6uiIwMBBXr15FZGQknJycsGfPHvj5+WHlypU4fPgwYmJicOrUKSQlJSErK0una8/jamPVHOG7/eDu8jIKisox/L1QbN8T/9jHU7X9Y/Br7o2CB+xZu8rKynDz5k1ppbvIyEjs2bMHCxYswLhx4xAXF4fRo0cjNTUVkZGRmDVrFmxsbF64v8/nQV2sIxQKhRSQw8PDERAQgAsXLqC8vBxt2rRBSUkJoqOjERoaWmPLbufOneHq6or169frzLzUr18/FBUVIS4uTtp34MCB6N69u06DS4sWLaSADABWVlYMyPUUQzLVCm3Ijo+Ph5GREXr16gUAcHBwQHFxMU6cOKHz5B4aGooNGzZgwYIFOHjwIM6fP48JEyZg6dKlyMvLA1DVarhx40Zp4J++vr504/X395cGYmiD85MIQrVJrVbr3PwASD+r1eraKNJzTalUwsHBAQEBAUhMTERCQgL69OmDo0ePws/PD0uXLsWBAwcQHR2NU6dO4dKlS1Cr1X+p/6ZRs5dwKGgE3hpsh8pKgSkLf8DSdVGPdSyV9T0h+ZfnawBRSUkJ0tLScP78eZw6dQqnT59GSEgIZs+ejUmTJuH69euYMmUK0tPTER4ejg8++ABWVlYMxk9ZbdcR2lbh6lRWVtZYB2/YsAFWVlZ4++23kZycjKSkJKhUKsTExMDc3BxhYWEPPK+BgQFmz56N8PBwnX179OiBkpISXLx4EWVlZQCqAvGhQ4fQtWvXGo/H67T+YkimWnPlyhVERUWhbdu20oTvbm5uSExMxKVLl3D16lWMHTsWAHDgwAHY2dnhnXfekd7ft29fVFRUICYmBgDwww8/4P3338fy5csxbtw4zJo1Czdu3EB6ejpWrVol9XXWhp5ly5Zh0qRJyMrKemafec6cOVIfu5peKSkpz6w89ZVCoUCnTp0wb948nDt3DteuXcOQIUMQGRmJsWPHYvHixdi3b58UmOPj45Geno7y8vI/fa4GDfSwZVl//HtKT+jrK9HdodVjlVllYyj9f25q7YfkoqIiad7iiIgInDx5Ejt37sSMGTMwbdo0qNVq/Pvf/0ZmZiaOHDmCiRMnwsTEhIHjIep6HSGEkMKv/FtHbVc9oGpcSXXjWW7duoWQkBBMnz4dGRkZ2L17N4YOHSqNR/Dx8UFoaOhD/xZ9fHzg4+ODzz77DJmZmQCqGk6Cg4OxevXq+7qa1BTmqX7jwD2qNa1bt8b06dOlwRJAVaXq5OSEpUuXonPnzrC2tkZOTg5u3bqFgQMHwsLij36YhoaGyMjIkObDPXr0KICq8O3u7o5r165h2rRpOHLkCFq0aIE7d+4AqGplKCwsRFJSEnJzc6FSqZ7ZZ/b398e4ceMeuI+NzaP1WzU3N8fZs2d1tmlvBubm5o9VvvpIoVDA2toa/v7+mDlzps5qf2vXrpVW+3N0dIRKpYJKpYKZmdmfWkZZoVBg3gc98eYbtrB5+Y/r7c/0k29q/hL0GipRWarB3VoIydplvrXLQefn5+PWrVs4e/aszqp3K1as4Kp3f0FdryPu7S5x7tw5bN26FTdu3MCPP/4oXetlZWXYvXs3QkJCUF5ejuHDh2PAgAFo3bo1IiMjkZubiy5dukAIgRs3buh0ffD19cWOHTuQlpZWYzcd7d/Vp59+ivHjx2PmzJlYvnw5rKys8Oqrr1Zb7ic5HoFeHAzJVGsMDQ0xZswY6WeNRgNLS0uYmZkhNjYWU6ZMkbYbGRmhoKBAZ1aLc+fOobKyEu7u7gCqWpJHjhyJLVu2oFmzZtBoNCgrK4OdnR0MDAwwbNgwNGrUCMeOHUNlZSVu3boFHx8fGBgYAKj6+k+pVD7Vli4TExOYmJg8kWO5urpiyZIlyMrKkvrThYWFoVmzZrC1tX0i56hvalrtb//+/diyZQvatGkDT09PODo6wsTEBEZGRtJMGfJVIqtzb0C+diMbk+YcxbbAAXilzcMf1BRKBQzNXkJeWhEKsp7NrA5CCOTn50vLQRcUFCA1NRWxsbFc9e4pqet1xNmzZ/HFF1/g22+/RWVlJby8vDB9+nQpuKalpWHhwoW4ePEi3njjDSiVSmzZsgX/+9//cOTIEbi4uMDR0RGDBw+Gra0t2rRpg5SUFHh6emLp0qXw9PSEkZER9u7dK634mpeXh+bNm0sr7mlnTjIxMcEXX3yBXbt2ITo6GiNHjnwqn5leXAzJVKvubUnTPsnv2LED33zzDUaMGAEAMDY2xssvv4zo6GipMgwLC8PXX3+NQYMGAaiq+IuKijBy5Eg0a9ZMmn0jIyMDv/76K86cOQMnJyfExMTAzs4O27Ztg56eHtq0aYNr166hQ4cOT3X54seRlpaGnJwcpKWlobKyEvHx8QCAdu3awdDQEK+99hpsbW0xevRorFixAmq1GvPnz8f777//yC2cVLOaVvs7cOAAZsyYAWNjY3h6esLJyQkWFhZo3ry5FJgfpRV1xuIfcS4hAx4jv8aeDUPg6mj10Pc0MWmIvLQiFGWXQlMpoNR78g90QgjcvXtXJxj//PPPOHPmDI4fP44mTZpg0KBBXPXuOfC81RGHDx/GW2+9hc6dO+O7775Dt27d7nt4VCqVcHJywurVq6W5ne3s7PDmm2/iypUr6Ny5M1auXIm33noLQNVME+np6VizZg3at2+PadOmwc/PDxs3bpQG244fPx6LFy/WaQ3W3lesra2lLixEf5ogqgNSUlKEg4ODaNeunRg3bpxo2bKl8PX1FZcvXxZCCDF58mTh4eEhrl69KoQQorKyUgghxKpVq4SlpaXIycmRjlVaWir8/PyEqamp8PPzE46OjsLIyEisW7dOaDSaGsug/V16erp03qdp7NixAsB9rxMnTkj7pKamCm9vb9GoUSNhbGws/P39RXl5+VMvW31XWFgoQkNDxdtvvy1UKpWwsLAQfn5+Yu3atWL//v3ixx9/FJcuXRJqtVoUFBSIwsLC+14/p2YKh34bBKwWiQbWi8XWb85Wu9+9ryDvH8RH2Ck+wk6R9Uv2Q/d/1Nfvv/8u0tLSxPnz58XRo0fF3r17xX/+8x/Rv39/0aRJE2FtbS1mzJghIiMjRUVFRW3/89P/e17qCG3dmJSUJPr16yc+/PDDB+5fVlYmMjMzxYIFC4SNjY0wNjYWCoVCfPLJJ9Xur1arRZcuXURAQIAQQoi8vDyxfft2MW3aNBEWFvZEPwvRvThPMj2XRDV9NUtLS7Fr1y6cOXMGbm5uGD58uNQf2d7eHgMHDsT8+fPRqFEj6f1ubm6wtbVFUFCQtO3ChQsYP348LCws8Nlnn8HW1hbLli1DcHAwoqOj0bJlyxrLk5ubi7Fjx8LQ0BDLly+vcRVBqj9KS0tx/Phx7N+/H4cOHYIQAp6enujRowfatGkDQ0NDmJmZwdTUFM2aNdO5rguLyjBx1hF8++N1AMCHk3tg0fS/Q6msvtXr4KRzSPjmVwDA+xdeg3HHx19QpLKyEtnZ2dLiHoWFhbh8+TKioqIQEREBGxsbDBkyBEOHDoWDgwP7bNJDlZSUYP78+YiKipIGVO/duxc7duyAgYEBNm3aBAsLC5SWluKDDz7AtWvX8O6778LHxwcLFy5EREQEzpw5A6BqjImlpSV++uknhISEoKysDHv27Km2fiZ6Wvg9GT2X5AFZCIGGDRti3Lhx9w1qOXv2LK5duwY7Ozvpqz1toI2Li8Mnn3yis39UVBQaNmyIWbNmSSsBdurUCUIIJCYmonfv3tWWRwgBf39/lJeXY+PGjWjevDkASP3gqH5q2LBhtav9ff7558jPz4enpydcXFzQvn17NGnSROqSoVKp0KRxA4R8MRgfrzqNz7bEYuXmM7j+Sw6CVvigcSOD+86lNPjjOtNU/Pn2jYqKCmnVuzt37uD3339HUlISIiIipDl1hwwZgjVr1tS46h29mMQTWCTqpZdegoODAw4cOAB7e3vcvHkTJiYmeO211zB27FipX3RERAS+/PJLhIeHo1evXigvL8fdu3fx888/49q1a7C3t0dsbCy+//57FBQUYODAgZgyZcp9AVnbxsfrlJ4WhmSqE7SVoLxSFEKge/fuiI6Olma+0E4ef+nSJWg0GlhZWUnvqaysxMWLF2FqagoXFxfp+BkZGVCpVDA0NJSOK694N27ciOPHj+PgwYNo3rz5fUuh3ruEKtVP+vr66N27N3r37o21a9ciNjYWoaGhCAoKQkZGBv7xj3/Azc0NnTp1QuPGjaXA/PGMv6PjKy3xwfzvcTu7CHo19DVW6v+x/VFDcnl5OW7fvo2srCydVe8iIiIQFxeH7t27Y/DgwQgODuaqd/WYtu4qKyt7rJX4tPWhvb09Xn75ZeTl5SEuLg4WFhb3DehUqVQoLy+XxoGcP38eBQUFKCwsRGhoKOzt7TF16lTMmDHjgbNw8Fqlp40hmeoUeaWo/fneaX20Fa+VlRV69OiBadOmYe7cufDw8EBSUhLS0tLQvXt3KRAXFxcjMTERhoaGcHBw0DmutuJPTEzEmjVr8O6776Jbt26oqKiAvr4+EhISYGFhAVNTU7Ymkw7tan+urq5YsWIFEhISsH//fuzevRvXr19Hr1690KtXL9jZ2aFJkybo2s4Eu9b2g0OXNmjYoPqqWamnQA7UuItM3PjVGuZdHavdr7S0VArGOTk5uHv3Li5cuICTJ08iOTkZf//73+Hn54d9+/ahVatWDBv1jLZekzcG+Pr6wtLSEoGBgTUOyNTOgSwf6Kw9jo2NDezt7XH+/HlYW1sDuL8BwdHRER4eHhgzZgyUSiWys7OxefNmzJ49G6+88goAoFWrVlJZ/2oLN9HjYp9keqElJycjMDAQ58+fR1hYGA4cOICNGzdi5cqV6NevHwDgwoUL+PDDD+Hi4oKlS5dW231i9erVWLVqFS5evIgWLVqgvLwcBgYG6Ny5M1555RUMGTIEarUaI0aMQIcOHXRuPhUVFdDT09O5GZWUlHC6rHpKCIGrV69i//792L9/PxISEuDi4gJ3d3d06dIFhoaGMDY2hqmpKVYHX0Yr82aYMs4Jubm5GOg2HPG/xUrH8vLyQnBwMFQqFYqLi3H79m1kZmbi7t27uHPnDuLi4nDixAncuHEDffr0wbBhw/DGG2/A2NiYwbiey8nJQYsWLQBUhdicnBzY29tjw4YNGDx48EO7kRUVFUFfX7/aVufg4GAsW7YM27dvh5ubm7T9+vXr+O233+Dp6Yn09HScOnUKubm5GD58uM6y0ETPjWc0QJDouXD48GExYcIEkZubK20LCgoSzs7OIjw8XAjxx8wYWhkZGcLX11cMHTpUCCGk0f3FxcWiQYMGwtTUVMyfP1/0799fNG3aVDpOZmZmtWXIy8sT7733nti6deuT/nhUx2g0GnHjxg2xcuVK0bNnT6GnpyecnZ2Fv7+/WBCwRcBqkYDVIvH6W9uEu3tvoVQodWYx0NPTEz179hTHjx8XBw8eFJs2bRLvvPOOsLa2Fo0bNxZDhgwRX331lcjNzX3gzC1UvyxZskRYWVmJwMBAUVZWJoQQYvv27cLa2lrk5+ffVwdqFRcXi/Xr14sePXoIhUIhIiIidH6vvcbi4uKEh4eH+Pjjj0VWVpaYO3eu6Nixo1AoFGLIkCHVHrumcxLVJoZkeqFpNJoHTllVXl4u3nnnHWFnZyeKi4ur3Sc1NVXY2dmJ9evXCyGEtF9wcLBo3Lix2Lt3rxBCiJKSEjFgwADh5eUlAgMDhaenp7C0tBQrV66UyqD9r6+vr5g3b54QgjcHqqLRaMStW7fEunXrRJ8+fYS+gYGw7DBIKFsvFDD7oNqpvrSvQYMGiVatWonmzZuLUaNGib1794rff/+9tj8SPafy8/PFtm3bROvWrcWoUaNERUWFmD59unj99dcf+L5jx46JQYMGiYCAAJGQkFDjfnl5eWL06NFCoVAIPT094ebmJoKCgkRRUdF9+/LhjZ5n7G5B9Up1XyFmZ2cjOTkZ7u7uNf7e3NwcCQkJsLW1lQa2eHh4oGXLlti2bZs008V7772H//73v5g1axbGjRuHXbt2YfPmzTh06BA6deokHXPu3LkoKipCYGDgYw2SoRebEALZ2dk4fPgwtn11DNEJJUDutzXu37dvX0ydOhVeXl7sxkOP7Ny5cxg2bBjs7e1x/PhxBAcHY+TIkTV2tdAOin4UJ06cQEVFBfr06aNzLM4GRHUJr1SqV6qrnFu2bCktbX3v77XPj2lpabCwsIChoSGEEGjQoAE0Gg0iIyMxYMAANGtWNVetRqPBDz/8gMmTJ+Ojjz6ChYUF+vfvj/LycoSFhUn7AFVLcp87d44Bmaql0Whw+fJlJCQkIO2nGDQpO/3A/W/duoVLly4hNTX12RSQ6jyNRgNnZ2ecPHkSKpUKJSUlSE9PB1BVD2rrqnv9mVVJPTw80LdvX+lY2vqUAZnqEl6tRDXQDmxq1KgRunTpgtTUVGlbaGgomjdvju7du0vbEhIS8Ouvv8LX11e6mSiVSmRmZqJbt24Aqqbj0u6rnZquuptRfda2bVtpJLz2tWzZstou1jM1cOBADB8+HMXFxQgKCkJOThb69et3X0jR09ODp6cnZs+ejbNnz8LBwQGrVq2qpVI/33hd6dKGVWtraxgZGUGlUiEwMBDz5s3T+f2TOhcHilJdxCngiB6iU6dOSEpK0gmzK1euhK2trTRNEVAVnDt27IiOHTtK26KiogAArq6uAKoWngCq5gWdOHEiv3qsweLFi/Huu+9KPzdt2rQWS/Psbd26Febm5jqheNeuXRg1ahS+//57aZuXlxd27doFlUqFMWPGoKCgAGVlZbVR5Dqhvl9X1SkrK0NISAj27t2L9PR0TJs2DWq1GgsWLJCmcCOqrxiSiR6ivLwcCxcuhJGRkbTt448/RsOGDXVustoQo131r6SkBAcPHoSnpyf09fWlaeOSkpJQXFyMzp07MyDXoGnTpg9cROBFd+/Dl5ZKpcKxY8dw/fp1/PTTT2jXrh3at2+vs4927m+qXn2/rqpz6tQpqFQqtGzZEp6enrCwsEBAQAB8fHywaNEi+Pr68mGe6i1e9UQPYWBggAkTJugMvPP29oanp6d040hPT0deXh5ef/11aZ/09HRER0djzJgxAP7ovhEUFAQrKytpSWy637Jly9CyZUs4ODggMDAQFRUVtV2k50b79u3h7e19X0Cmh+N19QdtH+GoqCi0aNECXbt2hUajQZ8+fbBv3z64u7sjPz8fAPsRU/3FlmSiR6BQKHRmDRCylaosLS1x584dnS4Zp06dQnZ2Nvr37w+gasnimzdvYseOHQgMDESHDh2e3QeoQ6ZOnYpXX30VLVq0QHR0NObOnYuMjAx8/vnntV00qsN4XelSKBQoLi7Gvn37MGHCBABVYVgIAWNjY2zatKmWS0hU+zgFHNETUN3Xkb/88gvCwsIwadIkAMDt27exZMkSnDx5EvHx8bVQytozZ84cLF++/IH7XLlyRae1Xmv79u2YPHkyCgoKpD7dRACvq78qIyMD48ePx+rVq6v9N2I3C6rvGJKJnpF//vOfuHnzJqZPn44+ffrUqxvQ7du3kZ2d/cB9bGxsqp0SLzk5GX/729+QkpKiMyiSiNcVET1N7G5B9JTc2yUjIiICWVlZCAgIkKaDqy8BGQBMTExgYmLyWO+Nj4+HUqmEqanpEy4V1XW8rp6M+vTATvRnsCWZ6BkoLy9HaWkpZx94iJiYGMTGxsLDwwNNmzZFTEwMZsyYAW9vb+zcubO2i0d1FK8rInocDMlE9Ny4cOEC/vWvfyElJQWlpaWwtrbG6NGjMXPmzHrbb5T+Ol5XRPQ4GJKJiIiIiGTYCYmIiIiISIYhmYiIiIhIhiGZiIiIiEiGIZmIiIiISIYhmYiIiIhIhiGZiIiIiEiGIZmIiIiISIYhmYiIiIhIhiGZiOgZWb9+Pdq2bYuXXnoJLi4uOHv2bL06PxFRXcKQTET0DOzZswczZ87EokWLcOHCBXTt2hX9+vVDVlZWvTg/EVFdw2WpiYieARcXFzg7O2PdunUAAI1Gg9atW2PKlCmYM2fOC39+IqK6hi3JRERPWVlZGeLi4uDl5SVtUyqV8PLyQkxMzAt/fiKiuoghmYjoKbtz5w4qKythZmams93MzAxqtfqFPz8RUV3EkExEREREJMOQTET0lBkbG0NPTw+ZmZk62zMzM2Fubv7Cn5+IqC5iSCYiesoaNGgAR0dHhIeHS9s0Gg3Cw8Ph6ur6wp+fiKgu0q/tAhAR1QczZ87E2LFj4eTkhO7du2P16tUoLCzE+PHj68X5iYjqGoZkIqJnwNfXF7dv38bChQuhVqvRrVs3HDt27L7BdC/q+YmI6hrOk0xEREREJMM+yUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMlERERERDIMyUREREREMgzJREREREQyDMl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"text/plain": [ "
" ] @@ -750,10 +759,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.422062Z", - "iopub.status.busy": "2025-11-27T09:14:08.421904Z", - "iopub.status.idle": "2025-11-27T09:14:08.436226Z", - "shell.execute_reply": "2025-11-27T09:14:08.435588Z" + "iopub.execute_input": "2025-11-27T09:37:07.480789Z", + "iopub.status.busy": "2025-11-27T09:37:07.480619Z", + "iopub.status.idle": "2025-11-27T09:37:07.494703Z", + "shell.execute_reply": "2025-11-27T09:37:07.494085Z" } }, "outputs": [], @@ -798,10 +807,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.437879Z", - "iopub.status.busy": "2025-11-27T09:14:08.437710Z", - "iopub.status.idle": "2025-11-27T09:14:08.454879Z", - "shell.execute_reply": "2025-11-27T09:14:08.454093Z" + "iopub.execute_input": "2025-11-27T09:37:07.496379Z", + "iopub.status.busy": "2025-11-27T09:37:07.496228Z", + "iopub.status.idle": "2025-11-27T09:37:07.513276Z", + "shell.execute_reply": "2025-11-27T09:37:07.512537Z" } }, "outputs": [], @@ -824,10 +833,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.456563Z", - "iopub.status.busy": "2025-11-27T09:14:08.456288Z", - "iopub.status.idle": "2025-11-27T09:14:08.468907Z", - "shell.execute_reply": "2025-11-27T09:14:08.468244Z" + "iopub.execute_input": "2025-11-27T09:37:07.514799Z", + "iopub.status.busy": "2025-11-27T09:37:07.514653Z", + "iopub.status.idle": "2025-11-27T09:37:07.526447Z", + "shell.execute_reply": "2025-11-27T09:37:07.525624Z" } }, "outputs": [], @@ -848,10 +857,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.470547Z", - "iopub.status.busy": "2025-11-27T09:14:08.470381Z", - "iopub.status.idle": "2025-11-27T09:14:08.482987Z", - "shell.execute_reply": "2025-11-27T09:14:08.482279Z" + "iopub.execute_input": "2025-11-27T09:37:07.527988Z", + "iopub.status.busy": "2025-11-27T09:37:07.527835Z", + "iopub.status.idle": "2025-11-27T09:37:07.539779Z", + "shell.execute_reply": "2025-11-27T09:37:07.539028Z" } }, "outputs": [ @@ -879,10 +888,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.484488Z", - "iopub.status.busy": "2025-11-27T09:14:08.484323Z", - "iopub.status.idle": "2025-11-27T09:14:08.527440Z", - "shell.execute_reply": "2025-11-27T09:14:08.526578Z" + "iopub.execute_input": "2025-11-27T09:37:07.541250Z", + "iopub.status.busy": "2025-11-27T09:37:07.541087Z", + "iopub.status.idle": "2025-11-27T09:37:07.582907Z", + "shell.execute_reply": "2025-11-27T09:37:07.582145Z" } }, "outputs": [ @@ -911,10 +920,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.528960Z", - "iopub.status.busy": "2025-11-27T09:14:08.528807Z", - "iopub.status.idle": "2025-11-27T09:14:08.684118Z", - "shell.execute_reply": "2025-11-27T09:14:08.683467Z" + "iopub.execute_input": "2025-11-27T09:37:07.584411Z", + "iopub.status.busy": "2025-11-27T09:37:07.584251Z", + "iopub.status.idle": "2025-11-27T09:37:07.743439Z", + "shell.execute_reply": "2025-11-27T09:37:07.742585Z" } }, "outputs": [ @@ -963,10 +972,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.685889Z", - "iopub.status.busy": "2025-11-27T09:14:08.685714Z", - "iopub.status.idle": "2025-11-27T09:14:08.857640Z", - "shell.execute_reply": "2025-11-27T09:14:08.856686Z" + "iopub.execute_input": "2025-11-27T09:37:07.745388Z", + "iopub.status.busy": "2025-11-27T09:37:07.745174Z", + "iopub.status.idle": "2025-11-27T09:37:07.906816Z", + "shell.execute_reply": "2025-11-27T09:37:07.905938Z" } }, "outputs": [ @@ -1006,10 +1015,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:08.859280Z", - "iopub.status.busy": "2025-11-27T09:14:08.859109Z", - "iopub.status.idle": "2025-11-27T09:14:09.030088Z", - "shell.execute_reply": "2025-11-27T09:14:09.029387Z" + "iopub.execute_input": "2025-11-27T09:37:07.908525Z", + "iopub.status.busy": "2025-11-27T09:37:07.908348Z", + "iopub.status.idle": "2025-11-27T09:37:08.065751Z", + "shell.execute_reply": "2025-11-27T09:37:08.064934Z" } }, "outputs": [ @@ -1049,10 +1058,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.031905Z", - "iopub.status.busy": "2025-11-27T09:14:09.031746Z", - "iopub.status.idle": "2025-11-27T09:14:09.045076Z", - "shell.execute_reply": "2025-11-27T09:14:09.044355Z" + "iopub.execute_input": "2025-11-27T09:37:08.067450Z", + "iopub.status.busy": "2025-11-27T09:37:08.067278Z", + "iopub.status.idle": "2025-11-27T09:37:08.079231Z", + "shell.execute_reply": "2025-11-27T09:37:08.078598Z" } }, "outputs": [], @@ -1067,10 +1076,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.046736Z", - "iopub.status.busy": "2025-11-27T09:14:09.046563Z", - "iopub.status.idle": "2025-11-27T09:14:09.215359Z", - "shell.execute_reply": "2025-11-27T09:14:09.214545Z" + "iopub.execute_input": "2025-11-27T09:37:08.080807Z", + "iopub.status.busy": "2025-11-27T09:37:08.080657Z", + "iopub.status.idle": "2025-11-27T09:37:08.236705Z", + "shell.execute_reply": "2025-11-27T09:37:08.235866Z" } }, "outputs": [ @@ -1126,16 +1135,16 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.217052Z", - "iopub.status.busy": "2025-11-27T09:14:09.216869Z", - "iopub.status.idle": "2025-11-27T09:14:09.332583Z", - "shell.execute_reply": "2025-11-27T09:14:09.331652Z" + "iopub.execute_input": "2025-11-27T09:37:08.238579Z", + "iopub.status.busy": "2025-11-27T09:37:08.238406Z", + "iopub.status.idle": "2025-11-27T09:37:08.346680Z", + "shell.execute_reply": "2025-11-27T09:37:08.345730Z" } }, "outputs": [ { "data": { - "image/png": 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", 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F+fnnn+O1/YM8zfv+rwwZMgCxk4H8V2Bg4AOL0if1999/ExgYaCta8uXLx8GDBwkPD3/oNrt378bZ2fm+AjghMmTIQIUKFWzXSW3cuJFTp07xyiuvxOk3ePBgdu/ezYcffsidO3fo3r07BQoUSNCEDf7+/lStWjVR/j24dz+qe7dXuFeg7d69+6Hb3Hsuf/78T/36IpI0qJASEbs3depUAgMDmTFjxn2PFi1aMHv27PsukP+3//4B/yiP6uvv73/fRfARERGcP38+TltQUNADTys7ePBgnPV7s6cFBgZSvXr1+x6PO0WsQYMG3Llzh99///2R/e5lelCGiIgIjh8/bns+Mf33Mzhy5AgxMTG2exD99ddfhIeHM2fOHN544w3q1q1L9erV410wPUqqVKlo3749v/zyC6dPn6Zw4cK2GRcf9lkAHDhwgNSpU993L6DEVKhQIZydnTl79ux9z507d+6BE6E8iQ0bNnD06NE4R2nr16/P3bt3mTFjxgO3OXHiBGvWrLHNNJkYXnnlFXbt2sXBgweZPn06Hh4eNGjQ4L5+hQoV4uOPP2b16tWsWbOGs2fPMmbMmAS95p07dxI049+/RUdHM23aNDw8PChfvjwAderUwdHRkcmTJz90u0mTJuHk5ETt2rWf6vVFJOlQISUidu3OnTvMmjWL+vXr8/LLL9/3ePPNN7l58yZz5sx56D7u/VEcn5nAHtU3R44crF69Ok7bjz/+eN8Rqbp167Jx48Y4s7ddunTpvm/Ka9WqhY+PD1988cV9s+bd2+ZROnfuTPr06Xn77bc5dOjQfc9fvHiRzz77DIDq1avj4uLC8OHD4xxFGTt2LDdu3KBevXqPfK2E+O/Me99//z0Q+0cp/HOU5995bty4wfjx45/qda9cuRJn3cvLi5w5c9qOxqRPn56iRYsyceLEOOP8999/s3jxYttNa59UfKc/9/b2pm7duqxfv54DBw7Y2vfv38/69eupUaNGgl4fYk9bbNeuHS4uLrZp/wHeeOMNAgMDeffdd++7nu3u3bu0b98e0zT59NNPE/za/9WkSRMcHR355ZdfmDFjBvXr149ToIaGhhIVFRVnm0KFCuHg4PDII2cQ+7P9XydOnGDZsmWULFkywZmjo6Pp3r07+/fvp3v37rYjepkzZ6Z9+/YsXbr0gdPzjxkzhuXLl9OxY8d43UxZRJIHXSMlInZtzpw53Lx5kxdffPGBz5cpU4Y0adIwderU+04buqdEiRIAfPTRRzRv3hxnZ2caNGjwwKMORYsWxdHRka+++oobN27g6upqu8/Ra6+9RufOnWnSpAk1atRg165dLFq0iNSpU8fZx3vvvcfkyZOpXbs2PXr0wNPTkx9//JGgoKA4pwb5+PgwevRoWrduTfHixWnevDlp0qTh1KlTzJs3j3LlyjFixIiHfjb+/v7Mnj2bunXrUrRoUVq1amV7r9u3b+eXX36xXUOSJk0a+vTpQ//+/alduzYvvvgiBw8eZNSoUZQqVYpWrVo9YhQS5vjx47z44ovUrl2bDRs2MGXKFF599VWKFCkCQM2aNXFxcaFBgwa88cYbhIWF8dNPPxEYGHjfUb4nkT9/fipXrkyJEiVIlSoVW7duZebMmXHu//PNN99Qp04dgoOD6dixI3fu3OH777/H19f3gfcKi48RI0bQv39/VqxY8dijiV988QXLli2jatWqtin3hw8fTqpUqfjwww/j9Xrbt29nypQpxMTEcP36dbZs2cLvv/+OYRhMnjzZdk0YQEBAADNnzqRevXoUL16c1157jfz58xMSEsKECRM4cuQIw4YNo2zZsgl67w8SGBhIlSpVGDJkCDdv3rzv93P58uW8+eabNG3alNy5cxMVFcXkyZNxdHSkSZMmj9x3oUKFqFatGkWLFsXf35/Dhw8zduxYIiMjGTRoULzy3bhxgylTpgBw+/Ztjhw5wqxZszh69CjNmzdn4MCBcfoPHTqUAwcO0LVrVxYuXGg78rRo0SL+/PNPKlWqxODBg+P78YhIcmDdhIEiIo/XoEED083Nzbx169ZD+7Rr1850dnY2L1++bJrmg6cpHzhwoJkxY0bTwcEhzvTN/5062zRN86effjKzZ89uOjo6xpnOOjo62nz//ffN1KlTmx4eHmatWrXMI0eOPHAfu3fvNitVqmS6ubmZGTNmNAcOHGiOHTv2gVNHr1ixwqxVq5bp6+trurm5mTly5DDbtWtnbt26NV6f0blz58xevXqZuXPnNt3c3EwPDw+zRIkS5ueff26b/vqeESNGmHnz5jWdnZ3NtGnTml26dDGvXbsWp8/DpoYOCgp64LTigNmtWzfb+r1pwPft22e+/PLLpre3t+nv72+++eab5p07d+JsO2fOHLNw4cKmm5ubmTVrVvOrr74yx40bd9/n9LDXvvfcvz//zz77zHzhhRdMPz8/093d3cybN6/5+eefmxEREXG2W7p0qVmuXDnT3d3d9PHxMRs0aGDu27cvTp977+XSpUtx2sePH39fxvhOf37Ptm3bzOrVq5uenp6mt7e32bBhQ/PQoUOP3e7e9Of3Hk5OTmaqVKnM0qVLm3369DFPnjz5yG1ff/11M0uWLKazs7OZOnVq88UXXzTXrFlzX997058/zfTkP/30kwmY3t7e9439sWPHzA4dOpg5cuQw3dzczFSpUplVqlQxly5d+tj99u3b1yxZsqTp7+9vOjk5mRkyZDCbN29um7r9ce5N8c+/pk7PlSuX2apVK3Px4sUP3S48PNwcOnSoWaJECdPT09P08PAwixcvbn733Xf3/XyZ5qN/bkUk6TNMMwFXyoqIiDzEvRviXrp06b6jdSIiIsmFrpESERERERF5QiqkREREREREnpAKKRERERERkSeka6RERERERESekI5IiYiIiIiIPCEVUiIiIiIiIk9IN+QFYmJiOHfuHN7e3hiGYXUcERERERGxiGma3Lx5kwwZMuDg8PDjTiqkgHPnzpE5c2arY4iIiIiIiJ04ffo0mTJleujzKqQAb29vIPbD8vHxsTRLZGQkixcvpmbNmjg7O1uaJaXTWNgPjYX90FjYD42F/dBY2BeNh/1IqmMRGhpK5syZbTXCw6iQAtvpfD4+PnZRSHl4eODj45OkfuCSI42F/dBY2A+Nhf3QWNgPjYV90XjYj6Q+Fo+75EeTTYiIiIiIiDwhFVIiIiIiIiJPSIWUiIiIiIjIE9I1UiIiIiIidsA0TaKiooiOjrY6SqKIjIzEycmJu3fv2tV7cnR0xMnJ6alve6RCSkRERETEYhEREZw/f57bt29bHSXRmKZJunTpOH36tN3dq9XDw4P06dPj4uKS4H2okBIRERERsVBMTAzHjx/H0dGRDBky4OLiYneFR0LExMQQFhaGl5fXI29s+zyZpklERASXLl3i+PHj5MqVK8HZVEiJiIiIiFgoIiKCmJgYMmfOjIeHh9VxEk1MTAwRERG4ubnZTSEF4O7ujrOzMydPnrTlSwj7eUciIiIiIimYPRUbyV1ifNYaLRERERERkSekQkpEREREROQJqZASERERERF5QiqkREREREQkQc6ePUurVq0ICAjA3d2dQoUKsXXr1of2nzBhAoZhYBgGjo6O+Pv7U7p0aQYMGMCNGzfu63/69Gk6dOhgm80wKCiIHj16cOXKlTj9KleubNvvvx9RUVGJ/p7vUSElIiIiIiJP7Nq1a5QrVw5nZ2cWLFjAvn37GDx4MP7+/o/czsfHh/Pnz3PmzBnWr19Pp06dmDRpEkWLFuXcuXO2fseOHaNkyZIcPnyYX375hSNHjjBmzBiWLVtGcHAwV69ejbPf119/nfPnz8d5ODk9u0nKNf25iIiIiIg8sa+++orMmTMzfvx4W1u2bNkeu51hGKRLlw6A9OnTky9fPho0aECBAgV47733mDJlCgDdunXDxcWFxYsX4+7uDkCWLFkoVqwYOXLk4KOPPmL06NG2/Xp4eNj2+zyokBIRERERsTMl6/5AyKWw5/666dJ4sXX+G/HqO2fOHGrVqkXTpk1ZtWoVGTNmpGvXrrz++utP/LqBgYG0bNmScePGER0dzY0bN1i0aBGff/65rYiyZUyXjpYtWzJ9+nRGjRpl2c2LVUiJiIiIiNiZkEthnA25aXWMRzp27BijR4+md+/efPjhh2zZsoXu3bvj4uJC27Ztn3h/efPm5ebNm1y5coXjx49jmib58uV7YN98+fJx7do1Ll26RGBgIACjRo3i559/tvV54403GDx4cMLeXDyokBKRJCkiKoK7UeEYUS6EXArjwqUwLl65xbTDE7gecZVbkWF4OHmRzistGX3TkSMwM0Wz5iRfpiB83Lytji8iIvJI6dJ42f3rxsTEULJkSb744gsAihUrxt9//82YMWMSVEiZpgkQ5wjTvbb4aNmyJR999JFt3c/P74kzPAkVUiKSJJimyYkz15m5bh2T/p7EoehNuJ3Py+1VFeJ2bPwbhuvdf9Yv3b8vh2hXyjq8wisFXqZ4ofSUKJQeFxf9cygiIvYjvqfXWSl9+vTkz58/Tlu+fPn4/fffE7S//fv34+PjQ0BAAA4ODhiGwf79+2nUqNED+/r7+5MmTRpbm6+vLzlz5kzQayeE/nIQEbt1504ki1YdYcb8vczdtYzQzJ9jZDgd+6QBt80HnDse7gb/LqQeIMYxnDXrzrHm1/kAeHo4U75sOoy8u3mtUiMavVARBwdNaioiIvIo5cqV4+DBg3HaDh06RFBQ0BPv6+LFi0ybNo2XXnoJBwcHAgICqFGjBqNGjaJXr15xrpMKCQlh6tSptGnTxrLro0CFlIjYmTt3Ivlz8QF+X7CfecsPcif1Ici3E6P0Jf79T6UZ7op7RBqKl8pMUEY/AgM8CUztySUjG86OTni5eBEWeZPzN0MICbtIyK0QLt2+xI2oK9x1uAG3/jl14dbtSBYdWIWRZjGLZk3HaboXRf1L83qlRrQt9yIuTi7P/4MQERGxc7169aJs2bJ88cUXNGvWjM2bN/Pjjz/y448/PnI70zQJCQnBNE2uX7/Ohg0b+OKLL/D19WXQoEG2fiNGjKBs2bLUqlWLzz77jGzZsrF3717effddMmbMyOeff/6s3+IjqZASEbtw4MglxkzZysSZu7geFgbZDkC13RjeoXH6+Tqm5tW8rXi3Vgeypgt8wJ4qPKAtrtt3Iti9/wLb95xnw/YzLF17jJCMJ23PRzmHsTVsGVvnLeOtOX14OVczvm3Rk3S+aR6xVxERkZSlVKlSzJ49mz59+jBgwACyZcvGd999R8uWLR+5XWhoKOnTp8cwDHx8fMiTJw9t27alR48e+Pj42PrlypWLrVu30rdvX5o1a8bVq1dJly4dL730En379iVVqlTP+i0+kgopEbHUmk0n+Wr0WuYtO/xPo/tdKL4ewzHG1pTNIzP9679H82KNcHJ8un+6PNxdKFM8M2WKZ6Zr2xcwTZNl22oyZvnvLD++kmvuRzGcYu+EHuF4k2nHxjJtwERK+VZieMsPKJ2j0FO9voiISHJRv3596tevH+/+7dq1o127dvHuHxQUxIQJEx7bb+XKlfHeZ2JRISUilti66ywffrWMJWuOgWMk4AyAm6sTzeqV42LWqyw6PZ8auSrRq/wb3D0YSr0i9Z66iHoQwzCoXrIw1UsWBmDvkXN8/ftvzDo0mzD/QxgOJjhGsSVsGRU+PE/3gu/T+/VgMqTzecyeRUREJLlSISUiz9X+w5f45Nvl/D5/P/hfgrI7Ic15Mm17g57tKtC+WVFS+Xtw7EpxbtztRbGMhYiMjGT+ofnPLWOBnBmY+H5Pxsd0Z+KCNQxcMJITzhswHaOI3F2Ewes3MGLiZrq0KsUH3cqT1qIpakVERMQ6KqRE5LkIuxVOvyErGTp2AzFpTkOVnRjpztqe/+CbQLqVL2tbzx7w5DP+JDYHBwfa16tE+3qV2HnwJB+On8LyyBjCiSY8PJrvxm5k1NrJ5CsTzcTXBlIkay6rI4uIiMhzovl9ReSZ+3PRAfJVG87gxROJqTEDo8q8OEVUoFdqXJydLUz4eEXzBDF/0Eec3NCLd94oi7ubEzhGEZF3I7sjVlLs+8qU+bQ9x86fszqqiIiIPAc6IiUiz8z5Czd5rc/vzD81B0rsxvCMe9+nXKmz07tiZ9qUaIq7s/tD9mJf0qbx4puPa/J2p2B6fD+RGWGRsU84RrP57gJyfbWCpkHtmNC1D26urtaGFRERkWdGR6RE5JmYvWA/hWqMYn7IbxjF18cpokpnKc7M1mPZ984a3ijTJskUUf+WLtCb6QPfZHf3NRQ1akO0IwCmy11+Oz8G/7dL8c3vv1mcUkRERJ4VFVIikqjCboXz2rt/0rjTdK5cuwNHCkBMbJFRL18NVnX5g/Xd5tG4UD0cHRwtTvv0CmYLYvtXE1j/2jKyRr1gaw/3uMj7m7qToXtNlu3YaV1AEREReSZ0ap+IJJoZ61fywYBVHNtr2toaVSpB1foFqZqvDPnT5rEw3bNVJl9ejg2Zw0+L5tF77qfcco+9BizEbTc1B73F24U/oW+vynh6uFgbVERERBKFjkiJSKL45tc5vPJbW47lmgC+V/HydGHctw35/cdXeLNy22RdRP3b67XqcW3oJl7L0RuHCA/MCBditpfhmzHrKVBtJHOXHrQ6ooiIiCQCFVIi8lSio2Po0H88763vDi7hGO538A3ew/YFb9D+lWIYhmF1xOfOycmJH994j9N9N9M+3Ye4mrE37j155gYN2v9Clc5fc+Dk2cfsRUREROyZCikRSbBbtyOo2WkE4y8NxHC7C0DqmGwc/OZ3cmULsDid9dL7p2bcB53Zs6Qr1cpni210Dmely2gKfFuJ14cNJzo6xtqQIiIiCTR69GgKFy6Mj48PPj4+BAcHs2DBgkdu069fPwzDwDAMnJycSJ06NRUrVuS7774jPDz8vv579+6lWbNmpEmTBldXV3Lnzs2nn37K7du34/TLmjWrbb/3HpkyZUrU9/tfKqREJEFCLt4kuMVQlrsOx/CI/ccsk1t2Dg5YQFq/VBansy+5sgWwZFobpgxvjHvp7RhudzDdwxh79gsydKvHln3HrI4oIiLyxDJlysSgQYPYtm0bW7dupWrVqjRs2JC9e/c+crsCBQpw/vx5Tp06xYoVK2jatClffvklZcuW5ebNm7Z+GzdupHTp0kRERDBv3jwOHTrE559/zoQJE6hRowYRERFx9jtgwADOnz9ve+zYseOZvO97VEiJyBPbe/AipV7+jj0ZxmJ4xU5rHuSdje3v/4W/h5+14eyUYRi0bFSY9V9+TyYK2Nov+eyg9OgadBo6UkenREQkSWnQoAF169YlV65c5M6dm88//xwvLy82btz4yO2cnJxIly4dGTJkoFChQrz11lusWrWKv//+m6+++goA0zTp2LEj+fLlY9asWbzwwgsEBQXRtGlT/vrrLzZs2MDQoUPj7Nfb25t06dLZHmnSpHlm7x00a5+IPKGN209Ts8NP3Cw9A8M7FIAsPllY3/0PUnvqdL7HKZo1Nye/WspHM0by9cZviHEKB/db/Hx+IHO6LmR+zxEUzxdkdUwREbEDQ1aPYeiaHx7br3iGQvzZflKctobj27D93J7Hbturwhv0rtg5wRnviY6OZsaMGdy6dYvg4OAn3j5v3rzUqVOHWbNm8dlnn7Fz50727dvHtGnTcHCIe+ynSJEiVK9enV9++YX333//qbMnlI5IiUi8rd96ihqtx3Oz5CwM32sAZPLJyOpus0jvk9bidEmHYRh80exN9r23iiwO/xyduui7hZIjqtNt2E/ExOjolIhIShd69yZnb5x/7OPSrSv3bXvp1pV4bRt69+YDXjn+9uzZg5eXF66urnTu3JnZs2eTP3/+BO0rb968nDhxAoBDhw4BkC9fvgf2zZcvn63PPe+//z5eXl62x/DhwxOUI750REpE4mXt5pPUaTOVsFsxcDobpLpMeu+0rOjyO1n8n+3FnMlV7nRZOf7lUt779TuGbB2C6RgJnjcZdWIAe1pG8cuQlmRM72N1TBERsYiPmzcZfdM/tl+aB5wRksYzIF7b+rh5JyjbPXny5GHnzp3cuHGDmTNn0rZtW1atWpWgYso0zftm+zVN8yG97/fuu+/Srl0723rq1KmfOMOTUCElIo+1euMJ6radyq3bkQDUCGhK/XovUSNvBXIEZLU2XBJnGAbftOhFu4r1qf39a5yNOQjby7Lm2AUK1xzNz1+/SKM6D/42TkREkrfeFTsn+LS7/57q96y4uLiQM2dOAEqUKMGWLVsYNmwYP/zw+FMS/2v//v1kyxY7y23u3LltbcWKFXtg33t97kmdOrUty/OgU/tE5JFWbjhOnTb/FFG1KuXgz7Et6F6pI/nS5n7M1hJfBTLm4sQXy+lb6gsy3C4FwNXrd2jcaTod3/uDW7cjHrMHERER68XExDxwGvPHOXDgAAsXLqRJkyYAFC1alLx58zJ06ND7TnfftWsXS5cupUWLFomSOaFUSInIQy1be4w6bSdxu+hCSHeaulVz8cfPzXF3d7Y6WrLk6OBI36Yd2LO4K03q/nMUatyh78nQrT6rth56xNYiIiLPV58+fVi9ejUnTpxgz5499OnTh5UrV9KyZctHbhcVFUVISAjnzp1jz549fP/991SqVImiRYvy7rvvArFnbIwdO5Z9+/bRpEkTNm/ezKlTp5gxYwYNGjQgODiYnj17Pod3+XAqpETkgZatPUa9dlO4W3QJRtbDOFZeSMfeqXBzUxH1rKXy92DGmGaM/eZFXLOfxsi9l5tpdlNlbAPeGjpB06SLiIhduHjxIm3atCFPnjxUq1aNLVu2sGjRImrUqPHI7fbu3Uv69OnJkiULlStX5rfffqNPnz6sWbMGLy8vW7+yZcuyceNGHB0dqVOnDjlz5qRPnz60bduWJUuW4Orq+qzf4iPpGikRuc+WnWd5seM0wossx8h6BABnZyd8PDwtTpZyGIZBh+bFuRlQlbcXLiHGMQK8bzDi7IcsfGMNKwcOIWN6X6tjiohICjZ27Ngn3qZfv37069cv3v0LFSrEzJkzH9vv3mx/z5OOSIlIHIePX6FO2ynczrcSI8cBAJwcnJjZ+meq56pocbqUp0eNlvz97grSO+YAwHCI4WiqeeT4oB5zVuy2OJ2IiEjKpUJKRGzOX7hJzVaTuJJ5BUbuvwFwMByY9upo6uV79GF6eXbypsvBic9W0iJXa1tbRNojvPTby3T5Rqf6iYiIWEGFlIgAEHrzLnXaTOGE9zKM/DsBMDAY32wYLxduYG04wdnRmamvf8OUl3/CKcY9ttE7lDEhH1H4je5cuPR0N1QUERGRJ6NCSkSIiormla4z2RWzCKPwVlv76MZf07pEUwuTyX+9+kIDDnywkozO/z/VzzGafdFrKFZ3DGs2nbQ4nYiISMqhQkpEeHvgYhZu3QZFNtvahjQYQKcyrR+xlVgle+ogjvRfTsNsjTEi3GF9Dc6H3KLKKxP4evTa++63ISIiSYNpmlZHSDES47NWISWSwo2ZvIXh4zZBmC+OG2ri7ODMwFof0LNCJ6ujySO4Orkyu8sodvZYTpWiBQGIjjZ5/4ul1O84iWvX71icUERE4svZOfbWIrdv37Y4Scpx77O+99knhKY/F0nBlq45ypufzLet//BWdypW+5RcabJbmEqeRKFs2VgyLYj+Q1fy2fDVmI4RLHD5iuxd5rD84+8pViCj1RFFROQxHB0d8fPz4+LFiwB4eHhgGIbFqZ5eTEwMERER3L17FwcH+zh+Y5omt2/f5uLFi/j5+eHo6JjgfamQEkmhjp64SpNe44iOjv0m5u1OwXRsXtziVJIQjo4ODHinKmVLZqLh+PZE+l7jhu96Sn3VmDENh/Jak7JWRxQRkcdIly4dgK2YSg5M0+TOnTu4u7vbXWHo5+dn+8wTSoWUSAp0+04ENd/5nNBKv8LO0tTP8jJffajpzZO6WpVy8f7Npny2+mswYohJd5LXl7Zjze73GftJO5ycEv6tm4iIPFuGYZA+fXoCAwOJjIy0Ok6iiIyMZPXq1VSsWPGpTqFLbM7Ozk91JOoeFVIiKYxpmrzUZwjHsvyK4RgNJdbTsll7HB3t45C7JJxhGAxo0JOyOYrSaPxrhBthGN6hTArty7bX97Hi2wGkCfC0OqaIiDyCo6NjovyRbw8cHR2JiorCzc3NrgqpxKK/nERSmHdGT2aJMQLDKRqAGtlq8HKxOhanksRUO39l9vdZTma32GvdDOco9qWZSs5ur7JpxymL04mIiCQPKqREUpDxSxYz9NDHGM5RABRPVZq/Xh+Lk6MOTic3WVNl4cAny6gV9E+RfDPLJsp+9zIjpq62MJmIiEjyoEJKJIXYdORvXp/3BrhEAJDFMT9r356Oi5OLxcnkWXF3dmd+13H0r/IRmLH/3JtpT/HWuGG89cl8IiOjLU4oIiKSdKmQEkkBoqKjqDOyAzEusfcW8rmblV2f/Imbs5vFyeRZMwyDT+q8xaKOv+KGF+bJHHCoICMmbKZ26ylcvaZ7loiIiCSECimRFOCVoX257hx7bYxDmD+b3p6Fr4e3xankeaqRtyL7+6xgVMNvcHaOvYh5+brjvNDgJ/YdSj5T7YqIiDwvKqREkrm1248w+8wU2/qX1QaSJyiDhYnEKkH+menyallWTG9HYOrY2fuO3vmbop+0YPbiPRanExERSVpUSIkkYzfDwunQcz7m0hcxLwdSxLka7zZ52epYYrFypbKwZe7r5CvmAuWXEBW0lya/tOaT7+dhmqbV8URERJIEFVIiyVjPfgs5fPwq3AigxIWurPxwjNWRxE5kyejHwAHFcHT5/4QTaUL47EAP6vUYzp07yeNGkCIiIs+SCimRZOrPRQcYN30HAF6eLkwf2QxfT10XJf9oUrQOG7rPwdvBHwDDM4wFTt9QuMN7nD0fanE6ERER+6ZCSiQZung5jDZDvgWH2KMN3/WrTY6sqSxOJfaoVOZi7O+zgpzeeQEwnKI4kukX8nd7nW27z1qcTkRExH6pkBJJZkzT5MWPB3GzyFyoNZPytV3p8Eoxq2OJHcvgm45dHyygdvbaABgG3My5ijKftWbGPE1CISIi8iAqpESSmTG/rmOT4y8AGH7XaPZqJgzDsDiV2Dt3Z3fmvTGed8v1sLVFZ91Hs2kdGTRyjSahEBER+Q8VUiLJyKmz1+k5qz+G5y0AiqYqyZuVW1mcSpIKwzD4qmEfJrz8PQ6mU2zj8dz0GbSMDm//SURElLUBRURE7IgKKZFkwjRNmn4ynMhssadiOZkuzOo0Skej5Im1eaEpq7rOoq5vOzidE4AJM3ZS49XJXL5629pwIiIidkKFlEgy8fP0zWx2nmZbH1DzfbKmymJhIknKymV7gbkfDeK30U1xc409OrV600lKtf6S0yF3LU4nIiJiPRVSIsnA+Qs36T79cwzf6wDk9snHu9U6WxtKkoWm9QuwemZ70gV6Qfb9nCs6gd7zJ7FkzVGro4mIiFjKbgqpQYMGYRgGPXv2tLXdvXuXbt26ERAQgJeXF02aNOHChQtxtjt16hT16tXDw8ODwMBA3n33XaKidB6/pBymadLq05+4m2MrAIbpwIyOo3B0cLQ4mSQXpYpmZNrEqhgvrAEgKs82GvzUkdHTNlicTERExDp2UUht2bKFH374gcKFC8dp79WrF3/99RczZsxg1apVnDt3jsaNG9uej46Opl69ekRERLB+/XomTpzIhAkT+PTTT5/3WxCxzKyFe1keOQHDIQaA3uW7USh9PotTSXJTuUAxvqz9MZix19yZmY/SdUlnen35BzExMRanExERef4sL6TCwsJo2bIlP/30E/7+/rb2GzduMHbsWIYMGULVqlUpUaIE48ePZ/369WzcuBGAxYsXs2/fPqZMmULRokWpU6cOAwcOZOTIkURERFj1lkSem7Bb4fTotwBCMmHGOJDBPQuf1XvH6liSDBmGwfvVujKj5c84xjjHtqW5wHen3uPF7j9w926kxQlFRESeLyerA3Tr1o169epRvXp1PvvsM1v7tm3biIyMpHr16ra2vHnzkiVLFjZs2ECZMmXYsGEDhQoVIm3atLY+tWrVokuXLuzdu5dixR58E9Lw8HDCw8Nt66GhoQBERkYSGWntHwP3Xt/qHJI0xqLv4BWcPXcLzr1AcJpKDOlWDQfTwa4zJ0RSGIuUok7uKnxd7D36/z2K0OhrGN6hzLv7FaXbh7BoWG8C/D2sjphi6PfCfmgs7IvGw34k1bGIb15LC6lff/2V7du3s2XLlvueCwkJwcXFBT8/vzjtadOmJSQkxNbn30XUvefvPfcwX375Jf3797+vffHixXh42McfAUuWLLE6gvyfvY7FibN3+G7sAQCcnQzaVMjGhd1nmb/7rMXJnh17HYuUJrtXFr4t9h4fbv+OyzEXMNzusjv9zxRofYbPm9YifRpXqyOmKPq9sB8aC/ui8bAfSW0sbt+O360+LCukTp8+TY8ePViyZAlubm7P9bX79OlD7969beuhoaFkzpyZmjVr4uPj81yz/FdkZCRLliyhRo0aODs7W5olpbPnsYiJManY/GfuXZry4VsV6Ni2grWhniF7HouU5t5YvFr/FRrWbkDdH9uy7eI2DKdoruZawUcjsjF7TEuCS2SyOmqyp98L+6GxsC8aD/uRVMfi3tlqj2NZIbVt2zYuXrxI8eLFbW3R0dGsXr2aESNGsGjRIiIiIrh+/Xqco1IXLlwgXbp0AKRLl47NmzfH2e+9Wf3u9XkQV1dXXF3v/8bU2dnZbgbZnrKkdPY4FkMmLWVzpm/hTn5y3a1On24VcXa2/EzdZ84exyKlcnZ2Jo1Hatb1nE2LSW/xx975mKvrcPVaFDVbTWHS0EY0a1DQ6pgpgn4v7IfGwr5oPOxHUhuL+Ga1bLKJatWqsWfPHnbu3Gl7lCxZkpYtW9qWnZ2dWbZsmW2bgwcPcurUKYKDgwEIDg5mz549XLx40dZnyZIl+Pj4kD9//uf+nkSeh0tXbtFn8QAM99sYhbdS/NXTuLom/yJK7JOLkwsz249hY7cFVC9YGoDw8Ghe6TqTr0atxTRNixOKiIg8G5b99eXt7U3BgnG/rfT09CQgIMDW3rFjR3r37k2qVKnw8fHhrbfeIjg4mDJlygBQs2ZN8ufPT+vWrfn6668JCQnh448/plu3bg884iSSHLT4YjCRGQ4B4GJ6MvzVDyxOJCmdYRiUyl6Q+RPz0bnPXMZN3wFGDB/M/YK9J1oy9vPmODvrvmYiIpK82PXX2EOHDsXBwYEmTZoQHh5OrVq1GDVqlO15R0dH5s6dS5cuXQgODsbT05O2bdsyYMAAC1OLPDvz1/zNsvCJGP+fE+Xbev0I9EpjbSiR/3N2duTnb14kW2Y/PlkxACP3XibfPMKJ1y4yd0QXfLyf7/WwIiIiz5JdFVIrV66Ms+7m5sbIkSMZOXLkQ7cJCgpi/vz5zziZiPWioqJpPe4DjDS3AMjrWYxulVpZnEokLsMw6NQxP0Munud6JBjeoaxxHkbxVpdYMfp9MmfwtTqiiIhIorD8hrwiEj8fjJ3MtTRbAXCIduGvbmMwDMPiVCL3C/RKw853FpPNJzsAhttdjuaYSNEO77Fz73mL04mIiCQOFVIiScDFa9cZtvsr2/qbJd4kR+ogCxOJPFoW/0xse3sBpTO8ABA7PXqhPynzbg+WrD5qcToREZGnp0JKJAloNPQ9oj2vAZAqOiuDm79tcSKRx/Nz92XVmzN5ucBLABgGRBRcTe0hXZk4c4e14URERJ6SCikRO3fo+EU2XFgbuxLjwNTWw3B00AxokjS4OLkwvc1o3qvY3dZm5t5Fu5nd6D9sqaZHFxGRJEuFlIid+/jrlZgLG2P+XZzyHo2oVbS01ZFEnohhGAyq/yFjGn+Dce9/O5436Td0BV0+nEtUVLS1AUVERBJAhZSIHVu35RQz5u6DGCcCz1dh7ruDrY4kkmCdyrRmbofJpHPOAqvrQLQzP0zZRqPXp3PrdoTV8URERJ6ICikROxUTE0Ov/gtt6wPfqaL78EiSVydvNU4P3MDUr1vh7Bz7v6C5Sw9Rudk4Ll4OszidiIhI/KmQErFTAyfPYMvhgwAUyhtIx+bFLU4kkjgcHRx5tVFhFk1pjY+3KziHszXtSAq3f5/Dx69YHU9ERCReVEiJ2KGbt+7w+Zb+UP8XKLmaLz+sgqOjfl0lealSNhsrfmuNW7VlGAGXuJBnFsXefIuN209bHU1EROSx9JeZiB3qMGwIUR5XMRxjCAi6S93Kea2OJPJMFMwbSN3gogAYDia3CyynQr8u/LFwv7XBREREHkOFlIidOXP+OrNOT7atD278EYZhWJhI5NlxcXJhZvsf6FG2s60tOu9WGv/cheHjN1iYTERE5NFUSInYmXbffYvpfR2ADEZu2lSoa20gkWfMMAyGvtSPIfUGgPn/Lw2yH6DH0h70/uIvYmJirA0oIiLyACqkROzIgaMXWX5jhm19RPO+OholKUbPSp34tdUPOOIEgJHxFEOPfETTHpOIiIiyOJ2IiEhcKqRE7Ej7YYPB5wYAQS75eKlYNYsTiTxfzYq8yJI3puPu4AmAkfoisyK/pEaHH7kZFm5xOhERkX+okBKxE1t2n2ZjxB+29ZHN+1oXRsRClXOUY2OPuaRyTR3bcDUNq1ddoHKzCVy4pHtNiYiIfVAhJWInXhsxBOP/R6NyuBegbsHK1gYSsVCh9PnY3nshDbM3wu9AbcBg+57zlH1pLEd0rykREbEDKqRE7MDqjSfYfXe1bX1UCx2NEsnin4nZnUezbmYnMmfwAeDYqWuUaTqSrbvOWpxORERSOhVSInag75CVsKou5uaKBAdUo0beilZHErEb+XMHsv6PjhTMEwje17lSdhzl+nRn4YrDVkcTEZEUTIWUiMVWbjjOyg0nIMaRXDHlWfX2JKsjididTOl9+WtKE9xqLcJwu0tkwXXUG9aNiTN3WB1NRERSKBVSIhbrN2SlbfmTHpVwcnK0LoyIHQtKG8j7tTra1s3cu2k3402+HL0S0zQtTCYiIimRCikRCy1de5hVf+8CIHf2AFo0LGhxIhH7ZRgG/Wq/ww+Nv8X4//++jKCjfLixN936zdaNe0VE5LlSISViEdM06fbTMKg3Hcosp3Pn3DoaJRIPr5dpxZ/tJuJsuABgpD3H6HOf0OitcYSH68a9IiLyfKiQErHIkjWHOeSxGMPBxMh2iGKlvK2OJJJk1M9fg9Xd/sDLMXY2P8P/CnPMQVTqOJTQm3ctTiciIimBCikRC5imyZtjh2F4hwKQ36colXOWtTiVSNJSOktxtvZeQKB7OgAMrzA2BYyk7CsjOX/hpsXpREQkuVMhJWKBxasPcdhjiW19RPNPLUwjknTlTpODne8sJrd/ntiG/UXYu+cmZRuN5eDRy9aGExGRZE2FlMhzFns0arjtaFQBXx2NEnka6bwD2dxrLn0rfEKWm5UAOHH6OuUajWXTjjMWpxMRkeRKhZTIc7Zw5UGOeP7raNQrfS1MI5I8+Lh507dBNzbMfo3C+dICcOXaHSq/Ppi5Sw9anE5ERJIjFVIiz5Fpmrw17p+jUQV9i1EpZ7DFqUSSjwzpfFg9sz2Vg7NC+lPcrTydF0d1ZeyvW62OJiIiyYwKKZHnaNGqQxz1Wmpb/17XRokkOl8fNyaPqYNzpWUYDjGQcy+v/dGd/sOX6sa9IiKSaFRIiTxHb08cE/doVA4djRJ5FjKlSsvY5t/iQOy92Ywsx+i37T06fTyT6GjduFdERJ6eCimR52TTjjPsW+aNuaEqzndS6WiUyDPWukRT/uowCRfDDYi9ce/PF/vR8M2x3L0baXE6ERFJ6lRIiTwnX45YA6YDnMjN98ETdDRK5Dmok7caq7vNwsvpnxv3zjO+plL777h+447F6UREJClTISXyHOw9eJE/F8fOHJYhrTdtmxS3OJFIyvFCluJs6Tn/XzfuvcnmNCMp1fpzzp4PtTidiIgkVSqkRJ6Dz8cssy33fj0YV1cnC9OIpDx5AnOyvfdCcvjmBMBwu8uRrFMp02QM+w9fsjidiIgkRSqkRJ6xIycv8Wt4Xyi3GJ9MN+nUsoTVkURSpAy+6djSex4l05cA04CNlTlz+jblG49jw7bTVscTEZEkRoWUyDP2xg+DwSsUI8sx0lTbg7eXq9WRRFIsP3dfVr05k+nNJlAsoDQAV6/foVrzify1RDfuFRGR+FMhJfIMnb1wjRU3fretf//KJxamEREAd2d3mpaqxcrf2lGtfDYA7tyNouEnX/HzL9ssTiciIkmFCimRZ+iNMUPA8yYAWRwKUqdQBYsTicg9Pt5uzJ/YkhYNC0LenVBxPq//3puBw1foxr0iIvJYKqREnpHL10NZcGm6bX1Y048tTCMiD+Li4sSnnxTBodgmAIzsB/l00wd06/snMTG6ca+IiDycCimRZ6TbT0MxPWKnVs5o5qdhicrWBhKRB8qbNhe/tPwBR2Jn0zQynmT06b68/NZkIiKiLE4nIiL2SoWUyDNw++4dZp2eZlv/puGHFqYRkcdpVuRFFnX6FTcHdwCMNBeYHTWI6h1HcTMs3OJ0IiJij1RIiTwDvSYOJ9rtBgCpw/PSvHx1ixOJyONUzVmedW/Nwc8lFQCG7zXW+AwnuPW3XLpyy+J0IiJib1RIiSSy6OhoJu2bZFv/tHpvC9OIyJMolrEQW3rNJ6NnJgAMzzD2ZvmR4q37c+L0NYvTiYiIPVEhJZLIVm06zt0dhTAvB+IVlpVu9RtYHUlEnkCOgKxs7b2AfAH5ADBcwzmT+S+CX/qJ3ftDLE4nIiL2QoWUSCIb9vMWOJ4XljRmSJXvMAzD6kgi8oTSeqdhQ485lMscjEOkO6ypScjF21R8eTxrNp20Op6IiNgBFVIiiejQscv8tfQgABnTedP2pVIWJxKRhPJx82Zpl19Z3eUPXshREIAboeHUaDmJPxcdsDidiIhYTYWUSCIa+tNG7t3Hs3uH0jg7O1obSESeiquTK2VzF2HZr22oVSkHAOGRETQa1Jcfp22xOJ2IiFhJhZRIIrlwJZSfDw+D1Ofx9HSm06slrI4kIonEy9OVOeNa8GqjAlB6BZRaxRt/9GLA8OWY9749ERGRFEWFlEgieXfcz0Rn34NR409yNtqHn6+71ZFEJBG5uDjRrXdWHLIeBcDIeoS+W96jy6eziYmJsTidiIg8byqkRBJBVFQ0Mw7OsK2/VauphWlE5Fkpm7UUs9qOx8lwAcBIf4YfzvWlyVsTiYiIsjidiIg8TyqkRBLBmD+WE57qOADu0aloV1FTnoskVw0L1GZ55xl4OHoBYARc4o/oQVTtOIKbYeEWpxMRkedFhZRIIvhq0Y+25RYFmuHooEkmRJKz8tlKs7HHXwS4pgHA8LnBOt/hlGnzFZeu3LI4nYiIPA8qpESe0qZdJznj8f/Zu2Ic+LxpN2sDichzUTBdPrb1XkAW7yAADI/b7MvyM8XbfMqJ09csTiciIs+aCimRp/Te5DEYrncBKOlfnrTeaSxOJCLPSxb/TGztPZ/CaQoBYLhEcCbVKoJf+pnd+0MsTiciIs+SCimRp3Dpyi3WXl1oWx/Y6C0L04iIFVJ7BrCuxx9UDqqIy+1AWFeDkIu3qPjyeFZvPGF1PBEReUZUSIk8hQETZmOmPg9AgENGauYrb3EiEbGCp4snizpPZecHc3mhQHYAboSGU7PVZP5YuN/idCIi8iyokBJJoMjIaCZumGVbf7N8ewzDsDCRiFjJ2dGZvJmysHx6W2pXzglAOGE0/u59fpy2xeJ0IiKS2FRIiSTQ7IX7ubmpEOaShmS6W5Ke1dpYHUlE7ICnhwtzxrWgWaNcUGk+FN7MG3/2YsDw5ZimaXU8ERFJJCqkRBJo9OStgAGX0zOu6TB83X2sjiQidsLZ2ZG2XdLhEHAFACPoCH23vEeXT2cRExNjcToREUkMKqREEmD/4Uus3HACgNzZA6hWPru1gUTE7tTNV43ZbcfjZLgAYKQ/ww/n+tHkrYlERERZnE5ERJ6WCimRBBg5eYNtuXOrkro2SkQe6MUCtVjRZSYejl4AGAGX+CN6EFU7juBmWLjF6URE5GmokBJ5QrduR/Dj4aFQYxbOuQ/TolE+qyOJiB0rl/UFNvb4i1SuqQEwfG6wznc4wW2+5uLlMIvTiYhIQqmQEnlCP/++nsj0hzBSX8Sh+AZ8fFysjiQidq5gunxs672ALN5BABget9mb5SdKtO3P8VPXLE4nIiIJoUJK5AmYpsm3i8djOEUD0DjvS3i4eFicSkSSgiD/zGztPZ9CaQoCYLhEcMZpB+UajWX3/hCL04mIyJNSISXyBDbvOMMZz4229U8bdLEwjYgkNak9A1jX/U8qBpXH62oe2FGW8xfDqPjyeFZvPGF1PBEReQIqpESeQN+pUzF8bgCQ16sweQNzWZxIRJIaL1dPFr8xjX1fzKZ00cwA3AgNp2aryfyxcL/F6UREJL5USInE09Vrt1l6/i/b+od1O1uYRkSSMhcnFzIFpmLZr22pXTknAOHuF2g8ojc/TtticToREYkPFVIi8TT8l+VEZzgOgAc+NCta3+JEIpLUeXq4MGdcCxo2zgCV50H+HbzxR2/6D1uOaZpWxxMRkUdQISUSD6ZpMmLNJAyHGABaF3sFFyfN1iciT8/Z2ZHm7dLg4H4XACPrYfptfZ8un/xBTEyMxelERORhVEiJxMPy9Ue4kmpb7Ipp0Kf2G9YGEpFkpXmxRvzeZhxORuwXNEb60/xwri9N3pxEeHiUxelERORBVEiJxMPo6evgWhrMGIPiqUqTxT+T1ZFEJJl5qWAdlnX+DXdHTwCM1Bf5I3oQ1V8byc2wcIvTiYjIf6mQEnmMazfuMHf+aVhTG79VHRnXepDVkUQkmaqQrQwbuv9FKtcAAAzf66z1GU5wm2+4eDnM4nQiIvJvKqREHuOXP/8mPDz2Brzt6pWncKa8FicSkeSscPr8bOk1n0xesVOjG5632Jv5J0q0GcDxU9csTiciIveokBJ5BNM0GfvrTtt6x+bFrAsjIilGtlRBbO09n/yp8wNguIZz5vYJyjYay+79IRanExERUCEl8kgHToayJ2wjGNGUKZ6JgnnTWh1JRFKIQK80bOg+h/KZyxJwtiIczU/IxTAqvjye1RtPWB1PRCTFUyEl8gjTdq3DqLAYGk6lWO3bVscRkRTG282LZV2ns//78ZQulhGAG6Hh1Gw1mTlLDlqcTkQkZVMhJfIQYbci2MtmAAz32zSsVNTaQCKSIjk7OpM6lSfLfm1L7co5AQgPPETT0e+weN0li9OJiKRcKqREHmL47wswU58HwI/01MxXweJEIpKSeXq4MGdcC6o1cYHgZZBvJ6OOT+KLkaswTdPqeCIiKY4KKZGHGLNpsm25Q4mWGIZhYRoREXB2dqRFiyAcHGMLJyPbIfpt+ZBuff8kJibG4nQiIimLCimRB9i69wQhntsBMKKd+bjB6xYnEhGJ1bF0S35r/RNOOANgZDzF6NN9adp9MhERURanExFJOSwtpEaPHk3hwoXx8fHBx8eH4OBgFixYYHv+7t27dOvWjYCAALy8vGjSpAkXLlyIs49Tp05Rr149PDw8CAwM5N133yUqSv8jkafT59cxGM6RAJTyr4ifh6/FiURE/tGkUH3md5yKC64AGGkuMCtyEDU6jibsVrjF6UREUgZLC6lMmTIxaNAgtm3bxtatW6latSoNGzZk7969APTq1Yu//vqLGTNmsGrVKs6dO0fjxo1t20dHR1OvXj0iIiJYv349EydOZMKECXz66adWvSVJBu7ejWTlpfm29QENu1mYRkTkwSplD2ZQkXfxc/EHwPC9xmqfYZRt8y2Xr96yOJ2ISPJnaSHVoEED6tatS65cucidOzeff/45Xl5ebNy4kRs3bjB27FiGDBlC1apVKVGiBOPHj2f9+vVs3LgRgMWLF7Nv3z6mTJlC0aJFqVOnDgMHDmTkyJFERERY+dYkCRsy60+ifS4C4HU3PVXylrI4kYjIg2XzysyGt/4io2cmAAzPMPZk+pESrQdy8sx1a8OJiCRzTlYHuCc6OpoZM2Zw69YtgoOD2bZtG5GRkVSvXt3WJ2/evGTJkoUNGzZQpkwZNmzYQKFChUib9p+bpNaqVYsuXbqwd+9eihUr9sDXCg8PJzz8n1MfQkNDAYiMjCQyMvIZvcP4uff6VudIyUatHw8esctVU1fQWNgB/V7YD42F/bg3Bpm9M7Ch+xxq/NCCg1cPglMUp85fpVyjscyd0IICudNYnDT50++FfdF42I+kOhbxzWt5IbVnzx6Cg4O5e/cuXl5ezJ49m/z587Nz505cXFzw8/OL0z9t2rSEhIQAEBISEqeIuvf8vece5ssvv6R///73tS9evBgPD4+nfEeJY8mSJVZHSJGu3ojk3IpcmDkiccxyguYvlNdY2BGNhf3QWNiPe2Pxaa4ufLZnNCEbcnH1UgbOcpMKjcfycefs5M3uZXHKlEG/F/ZF42E/ktpY3L59O179LC+k8uTJw86dO7lx4wYzZ86kbdu2rFq16pm+Zp8+fejdu7dtPTQ0lMyZM1OzZk18fHye6Ws/TmRkJEuWLKFGjRo4OztbmiUlGvLTRsxQP9hRlrdL98LdOUJjYQf0e2E/NBb240Fj0aRBYy5fvc2LHaazbc95wm5H02/UMX4d0YS6VXNZnDj50u+FfdF42I+kOhb3zlZ7HMsLKRcXF3LmjL1Te4kSJdiyZQvDhg3jlVdeISIiguvXr8c5KnXhwgXSpUsHQLp06di8eXOc/d2b1e9enwdxdXXF1dX1vnZnZ2e7GWR7ypJSmKbJlFl7bOttmxbn8P6NGgs7orGwHxoL+/HfsciQzoUVv7WjcafpLF1zjLu5NtBoxHrG3fiCds0efMq7JA79XtgXjYf9SGpjEd+sdncfqZiYGMLDwylRogTOzs4sW7bM9tzBgwc5deoUwcHBAAQHB7Nnzx4uXrxo67NkyRJ8fHzInz//c88uSduOv8/z98HYn6WyJTOTK1sqixOJiCSMt5cr8ya8SvHGlzEKbod8O2g/vReDRq+2OpqISLJhaSHVp08fVq9ezYkTJ9izZw99+vRh5cqVtGzZEl9fXzp27Ejv3r1ZsWIF27Zto3379gQHB1OmTBkAatasSf78+WndujW7du1i0aJFfPzxx3Tr1u2BR5xEHuXNXz6DvLvAI4x2TYtaHUdE5Km4uDjR8ZUSgAGAkeMAfda8R48BfxETE2NtOBGRZMDSU/suXrxImzZtOH/+PL6+vhQuXJhFixZRo0YNAIYOHYqDgwNNmjQhPDycWrVqMWrUKNv2jo6OzJ07ly5duhAcHIynpydt27ZlwIABVr0lSaJu3r7FpjvzMIqFQ4FtvFRH9yITkaSva9n2pPYMoOXUrkQThZHpBMOPfUJI7xtM+aYFzs6OVkcUEUmyLC2kxo4d+8jn3dzcGDlyJCNHjnxon6CgIObPn//Q50Xi48vff8F0jp0SP8goShp/nyQ3VaeIyIM0K/IiqT1TUf/n1tyNuYMRGMJv17/gcqdQ5ox8DU8PF6sjiogkSXZ3jZSIFSZvnWVb7hDc1MIkIiKJr2rO8qx98098nf0BMPyustx9COXaDObqtfhN8ysiInGpkJIU78T5S5x13A2AEenGOw1VSIlI8lM8U2G29JpPeo8MABheYezK8AMlW3/BmfM3LE4nIpL0qJCSFK//9IngFAVAIc8yuLu6WZxIROTZyJk6G1t7LyC3f+7YhhhHjh++Q9mXxrL/8CVrw4mIJDEqpCTF+2P/XNtyj+otLUwiIvLspfdJy6aec6mRrRqZD7WA296cPhdK+cbj2LTjjNXxRESSDBVSkqKt33WE616HAXCK8qJNxboWJxIRefZ83X1Y1GUqW6Z+QLGCsTewv3r9DlWaj2fhisMWpxMRSRpUSEmK9tnvkzAcowEoF1gZRwdNBSwiKUfaNF6s/K0dVcpmBSOGOyXmUm9wT6bM2mV1NBERu6dCSlKs6OgYVpxZalt/r15bC9OIiFjDx9uNeRNeJWvjXRiZTmLm30brKT0Y/NNaq6OJiNg1FVKSYq3edJK7qypibqpEhrvFqFWgnNWRREQs4e7uQs8m9QEDACPnAd5Z/g7vfDkf0zStDSciYqdUSEmKNXX2bohwg2P5GFz9Gxwc9OsgIilXjwqvM7XFKByIPcXZyHyCwQc/ovW7vxIVFW1xOhER+6O/HCVFuns3khnz9gHg5elCgxq5LU4kImK9FsUaseC1abg4xN4Gwgg8z9Qbn1HvjZ+4cyfS4nQiIvZFhZSkSPOWHyb0ZjgAjevkw8PdxeJEIiL2oUbuSqzt9gfezr4AGP5XWOw6mArthnLt+h2L04mI2A8VUpIifTHvRyi1CtKepXnD/FbHERGxKyUzF2VLz/mkdY+dGt3wusm2tKMo3eprzoWEWpxORMQ+qJCSFOfa9TvsvLsCI+d+jKp/kTFXjNWRRETsTu40OdjWeyE5/XLGNoT5cvjvCMo2GsuhY5etDSciYgdUSEmK88MfyzEDLgAQYGSicMZ8FicSEbFPGXzTsbnXPJrkbUzmI80h2pmTZ25QrtE4tu46a3U8ERFLqZCSFOentTNsy80KN7QwiYiI/fNz92VGh1FsmvEmhfOlBeDy1dtUfvVnlq45anE6ERHrqJCSFOX0uRscM7bY1nvVamVhGhGRpCN9Wm9WzWhHxdJB4HKXW+V/pdZXPfj1zz1WRxMRsYQKKUlRhs1YiOF/BYAMzjnImTqbxYlERJIOP193/prwCqkarsDwvYaZfyuvTujB8PHrrY4mIvLcqZCSFGXK1lm25TalGluYREQkafLx8uCjhu3/aci1jx6L3qHP14swTdO6YCIiz9kTF1L79++nb9++VK1alRw5cpA+fXoKFy5M27ZtmTZtGuHh4c8ip8hT27M/hAseu2zrXSu3sDCNiEjS1btSZyY1H4EDjgAYWY4xaG8fOnwwg+hozYQqIilDvAup7du3U716dYoVK8batWspXbo0PXv2ZODAgbRq1QrTNPnoo4/IkCEDX331lQoqsTvDZ8/H8L0OQA73/GTyy2BtIBGRJKxV8ZeZ23EyLoYrAEbac0y4MoAGXcZy926kxelERJ49p/h2bNKkCe+++y4zZ87Ez8/vof02bNjAsGHDGDx4MB9++GFiZBR5aqZpMnvPAsgcu96xbDNrA4mIJAO181RlVbfZ1BjTnLCoUIxUl1lw8xsqtQ9l8Q/d8PVxszqiiMgzE+9C6tChQzg7Oz+2X3BwMMHBwURG6tsosR+79oVwZW1+SJOKjC9coEO5JlZHEhFJFkpnKc7mnvOoNKIJl+5exPAOZbPTCIJfjWL5uK6kC/S2OqKIyDMR71P74lNEPU1/kWdp+l97AQMupefjch8R6JXG6kgiIslG3sBcbOu9kOy+2WMbzmdh/67blGs0jqMnrlobTkTkGYn3Ean/2rJlCytWrODixYvExMS9sHTIkCFPHUwksZimyW9/7QXAwcGgcZ18FicSEUl+MvllYHOveXz05xDmrfbjNDc5duoaZRuNZeHkVhQrmN7qiCIiiSpBhdQXX3zBxx9/TJ48eUibNi2GYdie+/eyiD3Yvuc8x05dA6BK2awEpvayOJGISPKUysOf0S0GcrZyKLVaTWbvoUtcvHyLii1HMmd0R6qU1b37RCT5SFAhNWzYMMaNG0e7du0SOY5I4hv8x+9Q7U84mZN6dSpaHUdEJNnLmN6H1TPb06DDL6w/vIuwyn9S4/Pd/Nr1S16uV8DqeCIiiSJBN+R1cHCgXLlyiZ1FJNGZpsncw/MxAs9jlFqDZ/YLVkcSEUkRUvl78NvYBrjVWojhGk5Mgc00+6k7oydvtjqaiEiiSFAh1atXL0aOHJnYWUQS3YbtJ7npvx8AhxhnXi31osWJRERSjoypAulXr8c/Dbn30nVuLz4dugTTNK0LJiKSCBJ0at8777xDvXr1yJEjB/nz579vhr5Zs2YlSjiRpzVkzkwMt7sAFE9VBi9XT4sTiYikLO9X7UY6n9R0+K0XJjEYQUcZuOMDzn/UhzEDG+PomKDvdEVELJegf726d+/OihUryJ07NwEBAfj6+sZ5iNiDmJgYFh5faFt/q+qrFqYREUm52pZ8hb/aT8LZcAHASHeWny/0p/Fb4wkPj7I4nYhIwiToiNTEiRP5/fffqVevXmLnEUk0a7Ye51aqQxiAY4wrTUvUsTqSiEiKVTdfdVZ2nUXNMc25FR2GEXCJOaFfU7VjKAvHdMXby9XqiCIiTyRBR6RSpUpFjhw5EjuLSKIaPGc6hksEAKXTVMDN2c3iRCIiKVtwUEk29phLgGvsTdENnxus9xtBheY/cPFymMXpRESeTIIKqX79+tG3b19u376d2HlEEkVMTAzLTi+2rfeo3tLCNCIick+BdHnZ1nsBQd5ZYxv2F2XXrquUazSO4/+/55+ISFKQoFP7hg8fztGjR0mbNi1Zs2a9b7KJ7du3J0o4kYRatvEQtwOOYADOMR68VLS61ZFEROT/svhnYkvveYxY+itjV4ZzhlCOnLhK2UZjWTSlFYXzpbM6oojIYyWokHrppZcSOYZI4ho1by44xl7AXD5dZZwdnR+zhYiIPE+pPQPo17AbHUvdoGbLyRw4cpmQi2GUazOEed93pWKZrFZHFBF5pAQVUn379k3sHCKJJjo6hk0LgZutccx2nE+Hd7Y6koiIPETmDL6sndWBem2nsuniWsLKL6bagEPM6P4lL9XOZ3U8EZGHivc1UrpxniQVazef4vzFMLjjSb1MTaiU5wWrI4mIyCME+Hvw06hKOFZYhuFgEl1wI43HdOenX7ZaHU1E5KHiXUgVKFCAX3/9lYiIiEf2O3z4MF26dGHQoEFPHU4kIX6bu9e2/EqDghYmERGR+CqYMRcDa7/3T0PuPXSa3ZOB3y/Xl7kiYpfifWrf999/z/vvv0/Xrl2pUaMGJUuWJEOGDLi5uXHt2jX27dvH2rVr2bt3L2+++SZdunR5lrlFHig6OoYZ82MLKTdXJ+pXz21xIhERiQ/DMOhTrTuBXgF0+v0dTEyMrEf4dPP7nOv7ISP7NcTBIUGTDYuIPBPxLqSqVavG1q1bWbt2LdOnT2fq1KmcPHmSO3fukDp1aooVK0abNm1o2bIl/v7+zzKzyEPNWbWTS2V/hNPZKJuxtm7wKCKSxHQs3ZLUXgE0ndSJKDMCI/1pxpzpy8XuN/hlSCtcXBJ0ebeISKJ74n+NypcvT/ny5Z9FFpGnNnTRNAzPMMi7B+9M+a2OIyIiCdCwQG2Wdf6NOj+24nZ0GEbqi8wKHUT110KZP/oNvDz1JZmIWE/HyCXZiI6OYdOVlbb19+u1syyLiIg8nQrZyrCh+1+kck0NgOFznTXuo6jafAKXr96yOJ2IiAopSUZmr9pKhP8ZALyiAymTvai1gURE5KkUSp+Prb3mk9krC8Q4wLbybNl5nvKNx3HyzHWr44lICqdCSpKN75f+gmHELtcMqoVxb0VERJKsrKmysLX3fEbVGkEGYu8rdfDoFco1GsvegxctTiciKZkKKUkWYmJi2Pjv0/rqt7UujIiIJKo0XqnpXKMx62Z3IHf2AADOhoQS3PFz1m89ZXE6EUmpVEhJsvDnui1E+p4HwDsyA6Wy6/5RIiLJTdbM/qyd1YGShTNAge2ElZ1O5U97MnfpQaujiUgKlOBC6ujRo3z88ce0aNGCixdjD60vWLCAvXv3PmZLkcQ3bMlU23KNoJoWJhERkWcpTYAnX3yTH6PwFgCiCq7nxe+7M/637RYnE5GUJkGF1KpVqyhUqBCbNm1i1qxZhIWFAbBr1y769u2bqAFFHsc0zTin9fV5sZ1lWURE5Nmrnq8c/aq/909Dnl10mNGDQaNXWRdKRFKcBBVSH3zwAZ999hlLlizBxcXF1l61alU2btyYaOFE4mPVzv2EO4UC4BOemRLZ81qcSEREniXDMPi0Zm/GNP4Gg9iJhYxsh+mz7h16DJhDTEyMxQlFJCVIUCG1Z88eGjVqdF97YGAgly9ffupQIk9ixfILMLs15sq6tMr1mtVxRETkOelUpjUzWv+ME84AGBlOM/zEJ7ToPYXIyGiL04lIcpegQsrPz4/z58/f175jxw4yZsz41KFEnsSsBfvBdITzWfjw5RZWxxERkeeocaF6LHljOm4OHgAYqS/w250vqdVpNLduR1icTkSSswQVUs2bN+f9998nJCQEwzCIiYlh3bp1vPPOO7Rp0yaxM4o81KFjl/n7//cRCS6RiQzpfCxOJCIiz1ulHGXZ0P0v/FxSAWD4XmNFzDiqt5jE1Wu3LU4nIslVggqpL774grx585I5c2bCwsLInz8/FStWpGzZsnz88ceJnVHkoWYv3G9bblw7n4VJRETESkUyFGBrrwVk9MyEcdcDNldi4/YzVHh5PGfO37A6nogkQwkqpFxcXPjpp584evQoc+fOZcqUKRw4cIDJkyfj6OiY2BlFHuqrvR9CxQWQcy8NauSyOo6IiFgoe0AQ295ewK/NJpDWPQMA+w5douxLY9l/+JLF6UQkuXF6mo2zZMlClixZEiuLyBM5ePos192PYHiauATcJE+OQKsjiYiIxQK90tC0fBpKzC5IzZaTOXryGqdDrlK60ycsGfIxpYtlsjqiiCQT8S6kevfuHe+dDhkyJEFhRJ7EkL9+AwcTgCK+L1icRkRE7En2oFSsm92R2m0msdNvMmGZj1Pho0vMeXcQtavoDAYReXrxLqR27NgRZ3379u1ERUWRJ08eAA4dOoSjoyMlSpRI3IQiDzH/wBJwi11uU7ahtWFERMTupE3jRY++aegw6zgAUQXXUW/oW0y89hWtGhexOJ2IJHXxLqRWrFhhWx4yZAje3t5MnDgRf39/AK5du0b79u2pUKFC4qcU+Y/QsDucNfYCYES50LFaHYsTiYiIPWpb+mWOXjvO5ytiz5Yx8+6k9bTuXLjyOW+/Xt7idCKSlCVosonBgwfz5Zdf2oooAH9/fz777DMGDx6caOFEHmbkX3+BazgAWZ0K4ebiZnEiERGxR4ZhMLDOe4x4aRBgxLZlP8g7K9/mnS/nYZqmtQFFJMlKUCEVGhrKpUv3z35z6dIlbt68+dShRB7nl63zbMsvFaplYRIREUkKupZtx2+tfsTx/yfjGBlPMvjQh7R+9xeioqItTiciSVGCCqlGjRrRvn17Zs2axZkzZzhz5gy///47HTt2pHHjxomdUSSOqKho9t/eFrtiQs+6zawNJCIiScLLhRuwuNOvuDm4A2CkucDU0IHU7fwjd+5EWpxORJKaBBVSY8aMoU6dOrz66qsEBQURFBTEq6++Su3atRk1alRiZxSJY/bqLUR7XwYgVXQQmQPSWZxIRESSiio5y7PurTn4OsdenmD4XWPJ9V+o2XIy167fsTidiCQlCSqkPDw8GDVqFFeuXGHHjh3s2LGDq1evMmrUKDw9PRM7o0gc41fMty1XyVrZuiAiIpIkFctYiK29F5DeIwMO1wNhW3nWbjlFxZfHcy4k1Op4IpJEJKiQusfT05PChQtTuHBhFVDyXJimyaEVAZhzXsXYXp536ra2OpKIiCRBOQKysu3thSx4bRppfP0A+PvgRco2GsuhY5etDSciSUK8pz//typVqmAYxkOfX758eYIDiTzKvkOXOHryGuBDpYD6lM5Z0OpIIiKSRKXzDiTdC4Gsm52emi0nc+L0dU5eOUfJzh+w/Jv+lCyS0eqIImLHEnREqmjRohQpUsT2yJ8/PxEREWzfvp1ChQoldkYRmz8XH7AtN6yZ18IkIiKSXOTKFsD62R0pUNAXKs8jrOhcyn/Qi6VrjlodTUTsWIKOSA0dOvSB7f369SMsLOypAok8yp+LD9qWG9bMY2ESERFJTtKn9aZlbxc+WnIVgIhCq6n1zVtMvfoVzRvqS2IRud9TXSP1X61atWLcuHGJuUsRm7Pnb7DZ7wcospEcJSLImtn/8RuJiIjE0wfVu/JBpR62dTPvdl6d9BbDxq+3MJWI2KtELaQ2bNiAm5tbYu5SxGbM3EUY6c9g5N+JUXCb1XFERCSZMQyDL+r1YViDz4H/Xwue4wA9l/Tmg68XYpqmpflExL4k6NS+/9501zRNzp8/z9atW/nkk08SJZjIf/22bQH4xC43LlLb2jAiIpJsvVWhI4HeqWk5rSsxRGNkOsFX+/oQ8sENxn7RFEfHRP0eWkSSqAQVUj4+PnFm7XNwcCBPnjwMGDCAmjVrJlo4kXtuhoVzJHKHbb1z1SYWphERkeTulaINCfD0p8HYNoTH3MUIPM/Ea/250OU6s4d3wM3N2eqIImKxBBVSEyZMSOQYIo/22+KtxKQKwQBSGRnIFpDF6kgiIpLMVc9VkbVv/km1Ua8QGnUdw+8qC3fPpXZrF/4c2wJfH13OIJKSJejYdPbs2bly5cp97devXyd79uxPHUrkv8au/pN7B0GrZ69qbRgREUkxSmQqwpZe80nrnh7H07lhb3FWbTxJpabjCbl40+p4ImKhBBVSJ06cIDo6+r728PBwzp49+9ShRP4tMjKabZc32NY7VWlkYRoREUlpcqXJzs53FrPy7YkE+HsAsGvfBco1GsfRE1ctTiciVnmiU/vmzJljW160aBG+vr629ejoaJYtW0bWrFkTLZwIwMpNx4hIfRIDcDE9qJijtNWRREQkhUnrnYa0JdOwbnZHaraczKmzNzgWdoDind9jyaC+VscTEQs8USH10ksvAbHTg7Zt2zbOc87OzmTNmpXBgwcnWjgRgJ+WzMNwiQCgZJrSODkm6NI+ERGRp5YnR2rWz+5I5Y5DOZJrAaEud6nY5yYfV21A3bpWpxOR5+mJTu2LiYkhJiaGLFmycPHiRdt6TEwM4eHhHDx4kPr16z+rrJJCLTu20rbcpuyL1gUREREBMqb34cVOBobrXQwDIgqtou+qX/h9/n6ro4nIc5Sga6SOHz9O6tSpEzuLyH2OnbzK1TUFMFfVJu2NUrxcXPePEhER633b8BPeqfCmbd3Mv41XJ/Zg9ORNFqYSkecp3udIDR8+nE6dOuHm5sbw4cMf2bd79+5PHUwEYP6KwxDtDOey0r11R1J5+FsdSUREBMMw+LrBx2TwDaT33E9jG3Pup+v8npy73J8BPWvEueemiCQ/8S6khg4dSsuWLXFzc2Po0KEP7WcYhgopSTTzlh22LdetmsvCJCIiIvfrWbETAe7+tPutB6YRg5H5OJ/tfJ/zH93gh4FNcHRM0Mk/IpIExLuQOn78+AOXRZ6VW7cjWLEh9mctU3ofCudLa3EiERGR+zUv+hLH9h7hy/0/EGHexUh7nrGX+nHhrevMHNoeV1dNkiSSHCXoa5IBAwZw+/bt+9rv3LnDgAED4r2fL7/8klKlSuHt7U1gYCAvvfQSBw8ejNPn7t27dOvWjYCAALy8vGjSpAkXLlyI0+fUqVPUq1cPDw8PAgMDeffdd4mKikrIWxM7MnfVXsJLLIKsh6haJZ1OkRAREbtV1D8/y9/4DS8nHwAM/yvM3bWKeu2mcjMs3OJ0IvIsJKiQ6t+/P2FhYfe13759m/79+8d7P6tWraJbt25s3LiRJUuWEBkZSc2aNbl165atT69evfjrr7+YMWMGq1at4ty5czRu3Nj2fHR0NPXq1SMiIoL169czceJEJkyYwKeffpqQtyZ2ZNyqORhBRzCCl3M542qr44iIiDxSqczF2NJzPmnc0uL0d1k4lZNla49TudkELl6+/+8mEUnaEnSs2TTNBx4d2LVrF6lSpYr3fhYuXBhnfcKECQQGBrJt2zYqVqzIjRs3GDt2LNOmTaNq1aoAjB8/nnz58rFx40bKlCnD4sWL2bdvH0uXLiVt2rQULVqUgQMH8v7779OvXz9cXFzue93w8HDCw//5dig0NBSAyMhIIiMj453/Wbj3+lbnsJppmqw7uwbSx663L//ic/9MNBb2Q2NhPzQW9kNjYT/+PRbZ/YPY++5y9u8LpWHH6Vy7cZfte85T7qWxzJv0Ktky+1kbNgXQ74b9SKpjEd+8hmmaZnx36u/vj2EY3LhxAx8fnzjFVHR0NGFhYXTu3JmRI0c+eWLgyJEj5MqViz179lCwYEGWL19OtWrVuHbtGn5+frZ+QUFB9OzZk169evHpp58yZ84cdu7caXv++PHjZM+ene3bt1OsWLH7Xqdfv34PPHI2bdo0PDw8EpRdEtexM7fofeAjDPc7OEQ780v5obg4OFsdS0REJN5On79Dv5FHuXI9ErIewtPFhc+b1CZrRnero4nII9y+fZtXX33VVvM8zBMdkfruu+8wTZMOHTrQv39/fH19bc+5uLiQNWtWgoODExQ4JiaGnj17Uq5cOQoWLAhASEgILi4ucYoogLRp0xISEmLrkzZt2vuev/fcg/Tp04fevXvb1kNDQ8mcOTM1a9Z85If1PERGRrJkyRJq1KiBs3PKLRy6fzcJw/0OAPl8ivJS/YbPPYPGwn5oLOyHxsJ+aCzsx6PGom6dUCr1GMiZnCu4ZZj0mRPO3E8+o8ILWSxKm/zpd8N+JNWxuHe22uM8USHVtm1bALJly0bZsmUT9QPp1q0bf//9N2vXrk20fT6Mq6srrq6u97U7OzvbzSDbUxYrzDu4FP5/lmiLUvUt/SxS+ljYE42F/dBY2A+Nhf140FhkDwqgZnMnxm+PPQHobuEV1BzUk5ndvual2vmsiJli6HfDfiS1sYhv1nhPNhEaGmp7FCtWjDt37sRp+/fjSb355pvMnTuXFStWkClTJlt7unTpiIiI4Pr163H6X7hwgXTp0tn6/HcWv3vr9/pI0nLl2m3O8LdtvW25Fy1MIyIi8nR+fuUbepbrbFuPybeFxj++yU+/bLEwlYg8rXgXUn5+fvj7+z/yca9PfJmmyZtvvsns2bNZvnw52bJli/N8iRIlcHZ2ZtmyZba2gwcPcurUKdsphMHBwezZs4eLFy/a+ixZsgQfHx/y588f7yxiP6Yv2QSpLgEQ6BBERt/0FicSERFJOMMwGNKwH1/V+deMwjn30unPHgz8fjlPcLm6iNiReJ/at2LFikR/8W7dujFt2jT+/PNPvL29bdc0+fr64u7ujq+vLx07dqR3796kSpUKHx8f3nrrLYKDgylTpgwANWvWJH/+/LRu3Zqvv/6akJAQPv74Y7p16/bA0/fE/k3a8Bf8/4hqzZxVrQ0jIiKSSN6t0pV0PmloP70nMURjZDnGp1vf4VzfjxnZ7yUcHBJ0VxoRsUi8C6lKlSrFq9/ff//9+E7/N3r0aAAqV64cp338+PG0a9cOgKFDh+Lg4ECTJk0IDw+nVq1ajBo1ytbX0dGRuXPn0qVLF4KDg/H09KRt27ZPdGNgsR/R0THsuLoJ/j9/SKcqjawNJCIikohal2hKgIc/jSZ0JNIMx0h7jjHnPuVC9+v8OqQNLi4JujONiFggUX5bb968yS+//MLPP//Mtm3biI6Ojtd28TmU7ebmxsiRIx85pXpQUBDz58+Pd16xX5t2nCFiWwnIGED6/GGUzVbS6kgiIiKJqm6+6qzqOosaY5pzK/om+Fxn9rItNGjvzO8/NsPLU2fUiCQFT3UMefXq1bRt25b06dPz7bffUrVqVTZu3JhY2SQFmrfsMNxIBfuK83mZwTrNQUREkqUyQSXY3HMe6dwz4LKpDlxNy+LVR6nWfBKXr96yOp6IxMMT/5UaEhLCoEGDyJUrF02bNsXHx4fw8HD++OMPBg0aRKlSpZ5FTkkh5i0/ZFuuUyWnhUlERESerXxpc3Pik40sG/oxfr5uAGzeeZbyjcdx8sx1a8OJyGM9USHVoEED8uTJw+7du/nuu+84d+4c33///bPKJinMmfM32LUvdur6koUzkC7Q2+JEIiIiz5aLkwvlXwhi9Yz2ZEjrDZgc9JpP8dffZ+/Bi4/dXkSs80SF1IIFC+jYsSP9+/enXr16ODo6PqtckgJNWLAKCmwD/8vUraqjUSIiknIUypeWdbM7kLrcIYz8O7haYA4v9OzF+q2nrI4mIg/xRIXU2rVruXnzJiVKlKB06dKMGDGCy5cvP6tsksL8su0vjMJbMGrP5E7mXVbHERERea6CMvlRra4fAIaDyZ1Cy6jc7y3mLj1obTAReaAnKqTKlCnDTz/9xPnz53njjTf49ddfyZAhAzExMSxZsoSbN28+q5ySzIWHR3HwznbbesfKDSxMIyIi8vwZhsG0ViN5K/h1W1tU/k28OLIb43/b/ogtRcQKCZoSzdPTkw4dOrB27Vr27NnD22+/zaBBgwgMDOTFF19M7IySAsxfu4foVOcA8DYDyROoU/tERCTlcXBwYFijgXxR66N/GnP9TYffu/Pl6JWW5RKR+z313NJ58uTh66+/5syZM/zyyy+JkUlSoHGr/8JwiL2vWPmMFSxOIyIiYq0Pqr3FuKbfYfz/TzUj6Agfrn+H7gP+ICYmxuJ0IgKJUEjd4+joyEsvvcScOXMSa5eSgqw9u8a2/HqlRhYmERERsQ/tSjXnj3YTcDZcADDSn+H7k5/wSq/JREZGW5xORHS3U7HcqbPXuO4Ze/8oh2hX6haqaHEiERER+9Agf01WdPkdD0ev2Aa3O8xcsIcXO/zCrdsR1oYTSeFUSInlxiych+EaDkAejyK4OLlYnEhERMR+lM1aik095pLNKycu616EO14sXHmEqq9M5PLVW1bHE0mxVEiJ5f7Yvci23KhwbQuTiIiI2KcC6fJy5JM1LBnTHV8fVwA27zxLucZjOXnmurXhRFIoFVJiqejoGA6F74hdMaFrjSbWBhIREbFThmFQsUxW1szsQPpAL3CI5lCGaRR/rQ9/H7hgdTyRFEeFlFhqy66zRO8pinkiF2mj8pHBL63VkUREROxaoXxpWTu7Pd7V1mFkOsHVgn9Quuc7rNl00upoIimKCimx1KJVR+FUTthQjQGlvrU6joiISJKQOaMPNSvG3nPRcDC5U3gJVfv35I+F+y1OJpJyqJASSy1adcS2XKtSDguTiIiIJB3Ojs781mYMXUp3sLVFF9xA49E9+HHaFguTiaQcKqTEMteu32HTjrMA5MuVmiwZ/awNJCIikoQ4ODgwovHnDKzxwT+NeXbzxh+96T9sOaZpWhdOJAVQISWW+XnhYmIyHAOnCGr9//QEERERiT/DMPioRk9+bPItBkZsW9bD9Nv6Pl0++YOYmBiLE4okXyqkxDLjtk3FqLAIGk8gS5E7VscRERFJsl4r3YpZbcfjZMTei9FIf5ofzvWlSbdJhIdHWZxOJHlSISWWiImJ4cj/pz03MGhdtarFiURERJK2hgVqs6zzb7g7esY2xDjyx/wj1G07ldCbd60NJ5IMqZASS/yxcR3RbjcBCIjMSWpfX4sTiYiIJH0VspVhQ/e/KJG6NG6b60OME8vXHafKKxO5cCnM6ngiyYoKKbHEz6tn25YrZq5oYRIREZHkpXD6/Gx5709WTOlEKj93ALbvOU/ZRj9x9MRVi9OJJB8qpMQSG8+vty13rtrYwiQiIiLJU5nimVk7qwOZM/iA6x2O5fuZkq9/xI6/z1sdTSRZUCElz935a5e57hx793WnW6moXryotYFERESSqXy50rD4t1dwr7UIw/8K14v8Qdle77F83TGro4kkeSqk5LkbvehPcIi9t0Vuz6IYhmFxIhERkeQrW8bU1C5ZEgDDwSS82BJqDnyHGXP3WpxMJGlTISXP3Z+7l9qWGxTUbH0iIiLPkquTKzPb/sgbL7SztcUUXs8rP/RmxISN1gUTSeJUSMlzdyBsZ+xCtANda79kZRQREZEUwcHBgVFNvqRf9Xf/acy3i7fmvcdH3yzGNE3rwokkUSqk5Lk6cvISEceCMK+mxic8iMyBqa2OJCIikiIYhsGnNd9mdOOvMYg9rd7Idogvdn5Mh/dnEhUVbXFCkaRFhZQ8VyvWnYJdZWDRy3TPMdDqOCIiIinOG2XaMKP1zzgZzgAYGU8x4fJnNOo8hbt3Iy1OJ5J0qJCS52rpmn9mCapTMY+FSURERFKuxoXqsbjTr7g7esQ2XAtg7qJj1Gw5mes37lgbTiSJUCElz01MTAzL/j/dqq+PK6WKZLA4kYiISMpVOUc51r01h/pBjfDcXxUwWLP5FBVfHs+5kFCr44nYPRVS8tws3fo3VyIuAFAlOBtOTo4WJxIREUnZimYoyJxuo1k5vT1pAmKPTu05cJEyTcZw8Ohli9OJ2DcVUvLcDF46DuPFaVB/GlmL6bQBERERe1GySEbWze5I1sx+4H+Z08VHU6rTR2zeccbqaCJ2S4WUPDdbLmwGwPAOpUG54hanERERkX/LlS2AGRPr4FxtAYb7HW4Wm0PF995n0cojVkcTsUsqpOS5uBJ6g+vOJwBwvONHlSKFrQ0kIiIi9ymULSsNilQBwHAwiSi2jLqD3mHKrF0WJxOxPyqk5Ln4aek8cIgBIIdrIQzDsDiRiIiI/Jerkysz2vxI1zIdbG1m4Y20nvg2g39cZ2EyEfujQkqei9k7l9qWa+etZGESEREReRQHBwe+b/Q5n9fqY2sz8vzNO8ve5+3P52OapoXpROyHCil5Lv6+vg0A04Q3aja0OI2IiIg8imEY9KnWg59eHoLx/z8XjaAjDDn4Ca16/0pkZLTFCUWsp0JKnrn9Z05yxy122nOPO+nJlyWzxYlEREQkPjq+8Cp/tJuAs+ECgJHuLNNCv+DF16Zy63aExelErKVCSp65H5bMsS0X9NVsfSIiIklJg/w1WdHld7ycvGMbjuZj4fJjVG8xiSvXblsbTsRCKqTkmVt0YKVt+aWi1a0LIiIiIglSNmspNvaYy5uFe+NzsRgAG7efoXzjcZw6e93acCIWUSElz9y587cwI50g2pFONetZHUdEREQSIH/aPAxv9R6rZ7YnXaAXAAeOXKbMK8PZe/CixelEnj8VUvJMHTt5ldAVZWBWe0qcf5MAXx+rI4mIiMhTKJI/HetndyRn1lSQ5QjnX/iB0t0+YP3WU1ZHE3muVEjJM7Vs3fHYhRhHGpYua20YERERSRTZsvgzavQLOASvwHCK5lax+VT+8B3+WnLQ6mgiz40KKXmmlq45ZluuXiG7hUlEREQkMVXJV5KWxRsDYBgQVXQ1DYf1Ztyv2y1OJvJ8qJCSZyYqKoql6w8D4OvjSsnCGSxOJCIiIonFydGJiS2G827FN/9pzL+Njr/15rPvV+rGvZLsqZCSZ2bamuVcrToaKiwgf8U7ODk5Wh1JREREEpFhGHxV/2OGNhgAGLFtOQ/wyYYPeKvfHGJiYqwNKPIMqZCSZ+aXjQswnCMxMp0ka24nq+OIiIjIM9KjQiemvToaR2K/NDUynWDkyb406z6FiIgoi9OJPBsqpOSZ2Xx+s225Q+UGFiYRERGRZ6150ZdY8PovuDq4A2AEhvB72BDqtpvKzbBwi9OJJD4VUvJMXLsZyjXnEwA43vGlWtGiluYRERGRZ696roqse/NPfF38IdoRdpdm2ZrjVH1lIhcvh1kdTyRRqZCSZ2L88kXgGA1ANtcCGIZhcSIRERF5HopnKszWXgv4tvIQ/COyAbB19znKNRrH8VPXLE4nknhUSMkz8ceOZbblqrnKW5hEREREnrccAVnp3eAV1vzegYzpvAE4cuIKpVp/ya59IRanE0kcKqTkmdh1ZYdt+bWq9S1MIiIiIlYpkCeQ9X90JF+u1FB4M1dKTSa4x3us3HDc6mgiT02FlCS6C9eucdP1NADOd1JRMlduixOJiIiIVbJk9OOTr7JiFNiB4WByt9hiqg/ozcx5e62OJvJUVEhJohu7bD44xN43Iod7QYvTiIiIiNVeKVGXN15oZ1uPKbSBZj/0YtSkTdaFEnlKKqQk0S3cs962XDNPRQuTiIiIiD1wcHBgVJMv6V/9vX8a8+6m29y3+XTIUkzTtC6cSAKpkJJEd3d7Ecy/mmNurkin6i9aHUdERETsgGEYfFKzNz80+RaD2Nl8jaxHGLjjA17r8zvR0TEWJxR5MiqkJFHdCL3Ltt3nIcyP/I6VyB+UxepIIiIiYkdeL92K2W0n4GS4AGCkP8O4S/1p2HUcd+9GWpxOJP5USEmiWrP5JDExsYfnq5bNZnEaERERsUcvFqjFii4z8XD0AsAIuMS8mz9Tu/UUboTetTidSPyokJJEtWL9CdtylbJZLcshIiIi9q1c1hfY1GMuAW5pMO54wrbyrNp4kkpNx3P+wk2r44k8lgopSVQTTg+BIpsw0p2hUpmsVscRERERO1YgXV629VrAtCbjSe0WCMCufRco22gsh49fsTidyKOpkJJEc+TsWa7578LIvwP3MlsJ8PewOpKIiIjYuSz+mXilckXWzupAUCZfAE6cu0Spjp+ydddZi9OJPJwKKUk0Py2ba1vO513UuiAiIiKS5OTJkZr1sztSMG8AlFvCjRK/U/79t1my+qjV0UQeSIWUJJqF+1bZlusVqmxdEBEREUmSMqTzofMnvhgZT2EYEFF4JbW/7sEvf+y2OprIfVRISaI5dOv//8jFGLxWvZ61YURERCRJ6lqhNe9U6GZbN/Nv5dVJPRjy8zoLU4ncT4WUJIq/T5wg3P0yAJ53M5I5TRqLE4mIiEhSZBgGXzf4hMH1+v/TlnM/by97m3e+nI9pmhamE/mHCilJFD8v+8u2XDBVUeuCiIiISLLQq9IbTGkxCgccATAyn2DwwY9o9c4vREVFW5xORIWUJJLFh9bYlhsUqmphEhEREUkuXi3WmAWvTcPVwR0AI/A8025+Rp03fuD2nQiL00lKp0JKEsXR23/HLsQ48FqNutaGERERkWSjRu5KrH3zD3yc/QAw/K6y9NoMarw6mavXblsbTlI0FVLy1LYePkSk+1UAvMMzE+jnZ20gERERSVZKZCrClp7zSeeRAYer6WB7WdZvPU2Fl8dz5vwNq+NJCqVCSp7arp3XMNfUxDxUkPKB1ayOIyIiIslQrjTZ2f72QpZ2+ZW0qfwA2HfoEmVfGsv+w5esDScpkgopeWrrNp6HM9lhW3neqfa61XFEREQkmUrnHUjlEnlZN6sjOYL8ATh9/SwvdH2fDdtOW5xOUhoVUvLUVmw4AYCrqyPBxTNZG0ZERESSvRxZU7FudkcKFfGByvO4VWw+lT7uwbxlh6yOJimICil5KsdPXePE6esAlC2RGTc3Z2sDiYiISIqQNo0Xr/Z0xfC9DkBUofU0GP4WE2butDSXpBwqpOSp/Lh4LgQdBrdbVAnOZnUcERERSUHer9aVvtXe/achzy46ze7NjCVndeNeeeZUSMlTmb7/N4yyyzAaTSZ9vjtWxxEREZEUxDAM+tZ6mx8af4OBEduW9TBTb4yj1+fziImJsTihJGcqpCTBYmJiOBW1P3YlyonmFSpaG0hERERSpNfLtOb3NuNwIvYSAyP9GUad+ZRmPScRERFlcTpJrlRISYIt2bmdGNcwAAKisuPl4WFxIhEREUmpXipYh+VdZuLu6AmAEXCJ3yO+pPprIwm7FW5xOkmOVEhJgk1aM9+2XCp9KQuTiIiIiED5bKVZ1+0PvA0fAAyfG6y5sIyqr0zk0pVbFqeT5EaFlCTYmhMbbMtNS9WwMImIiIhIrAJp8zK4RB+yeAXhfDo/7CvGll3nKNdoLMdPXbM6niQjlhZSq1evpkGDBmTIkAHDMPjjjz/iPG+aJp9++inp06fH3d2d6tWrc/jw4Th9rl69SsuWLfHx8cHPz4+OHTsSFhb2HN9FyhQTE8PZmIOxK5EutKhQxdpAIiIiIv+XxjUVm3vOZdMnk8mQNvbo1OHjVynbaCy79oVYnE6SC0sLqVu3blGkSBFGjhz5wOe//vprhg8fzpgxY9i0aROenp7UqlWLu3fv2vq0bNmSvXv3smTJEubOncvq1avp1KnT83oLKdacTRswXW8DEBiTEzdXV4sTiYiIiPzD392Povkzsv6PjuTNmRqAEPMwZXr3ZsX64xank+TA0kKqTp06fPbZZzRq1Oi+50zT5LvvvuPjjz+mYcOGFC5cmEmTJnHu3Dnbkav9+/ezcOFCfv75Z0qXLk358uX5/vvv+fXXXzl37txzfjcpy5R1C2zLZTK9YGESERERkYcLyuTH2lkdKFzGCSouILzwcmp80Z3f/vrb6miSxDlZHeBhjh8/TkhICNWrV7e1+fr6Urp0aTZs2EDz5s3ZsGEDfn5+lCxZ0tanevXqODg4sGnTpgcWaADh4eGEh/8ze0toaCgAkZGRREZGPqN3FD/3Xt/qHI+z/vQm+P9BqGalqtt93oRIKmOREmgs7IfGwn5oLOyHxsK+PGg8fLycadTBnT0rIgCIyb+F5uO7c+7CALq1LW1JzpQgqf5uxDev3RZSISGx56+mTZs2TnvatGltz4WEhBAYGBjneScnJ1KlSmXr8yBffvkl/fv3v6998eLFeNjJFN5LliyxOsJDRceYXDnkixmYAQefG7heDWX+/PmP3zCJsuexSGk0FvZDY2E/NBb2Q2NhX/47HsXISdug/7V339FR1fn/x183PSGFEkgRCKH3gDQjitRQFKkKFpoQVwQUIhYsIOiKi2UVRfitishKFQWBBQSpFmrYCIggZKkLhGYIpEJyf39EZr9ZaXFJPpOZ5+OcnHPvnRnyCm8+x7ycO/f21qeHFuQfqL5bo1Y/rW83Pah+91SSZVkGUrqHkrY2MjIybuh5TlukitKYMWOUkJDg2E9LS1OlSpUUFxen4OBgg8nyG/CqVavUoUMHeXt7G81yNYk7jilnV5Kk+urepZbu7drVdKQiURJm4S6YhfNgFs6DWTgPZuFcrjWPLuqi1v+8U4MXJChPubIqHdCXJ6fLb8NoffTn3vLy4oLWN1NJXRuXz1a7HqctUuHh4ZKklJQURUREOI6npKSoUaNGjuecPHmywOsuXbqks2fPOl5/Jb6+vvK9wsURvL29nWbIzpTlv23YcsSx3b5ldafNebM48yzcDbNwHszCeTAL58EsnMvV5jGgeR9FlA7TvR8PVI6dJavCcc1O/bNODU/TovcHK8Dfx0Ba11bS1saNZnXa2h0dHa3w8HCtXr3acSwtLU2bN29WbGysJCk2NlapqalKTEx0PGfNmjXKy8tTixac71pU1nz/nyvdtG0ZbTAJAABA4cXVbK1vhy9UkFeIJMkqfVarfN9Sy/5v6cyvN3ZaF2C0SF24cEFJSUlKSkqSlH+BiaSkJB0+fFiWZWnkyJF69dVXtXjxYu3cuVP9+/dXZGSkunfvLkmqU6eOOnXqpPj4eG3ZskXff/+9hg8frr59+yoyMtLcD+bCLmRkaP2eREm2IsOCVLNqOdORAAAACq1ZpcbaOmqZwgN+O/Op1AUlHf1Zd/aariPHzpkNhxLB6Kl927ZtU5s2/7mR6+XPLQ0YMEAzZszQM888o/T0dD366KNKTU3VHXfcoRUrVsjPz8/xmlmzZmn48OFq166dPDw81KtXL02ePLnYfxZ3MXPdKmW3nStl+ekWz3v5YCYAACixapavpsSEFWoz5T4d21hR549W1c86rdhuH+nrz/qpXq0K1/9D4LaMFqnWrVvLtu2rPm5ZliZMmKAJEyZc9Tlly5bV7NmziyIermBBYv5VVyy/LDWIqmg4DQAAwP8mIjhMPz69Sv/+d7o6PvyZ9h88q3+fOK87ek3XkukP6I7mUaYjwkk57Wek4Jy2n9rm2B7c9h6DSQAAAG4OXy9fVY0qq+8XPqImDfJP9UsN3a42YxP01dd7DKeDs6JI4YadOpeqNJ/DkiSvzDK6vU5dw4kAAABungqhgVr3+UA1isuUmn6r3Ibfq8eUJ/X/Zm01HQ1OiCKFG/bxN8skjzxJUnX/BobTAAAA3HyBpXzVu2+ELI/fPn5S+0c9tihB4/76zTU/kgL3Q5HCDfvqx/9cir5DzVYGkwAAABSdFzqM1NQek2Qp/6JaVvQ+TUgco0ef/0K5uXmG08FZUKRww3b++k/H9qPt+XwUAABwXX+K7a8v+k+Xl5V/c1Yr8og+Spmgbo9/oqysi4bTwRlQpHBDDqacUIbfMUmSb0aY6lWpYjYQAABAEetev7O++dN8BXiWkiRZoSf1D2uS7hr4nlLPZRpOB9MoUrghf1u1RL+9u63agQ3NhgEAACgmrarGauMTS1XON1SSZAWf05bQ99X84dd17ESa4XQwiSKFG7Jl979kZ+XfCPnuem2u82wAAADX0SCijrYlLFdU8G/3lPK+qH2Hzuj2Hh9rb/Jps+FgDEUKN+ToD5HSwgGyvr5fw7r0MB0HAACgWEWVqaSto5apaUQThe3pJf0aqkNHz6llj4+1+Z9HTceDARQpXNeho6nam3xGkqXYajGKKFfGdCQAAIBiF1qqnDaPXKp/znhFMXXDJElnfs1Umz4ztGzNL4bTobhRpHBdq75NdmzHtapmMAkAAIBZlmUpIixI6z8fpNaxVSTZyqy3Rl3ffEoz5v/zei+HC6FI4bpWbNjr2KZIAQAASCHBflrx94dVr+dhWTV2y66/VYPmPKWJU9Zz4143QZHCNWXn5Gihz4tSu6/k33CPmjaMNB0JAADAKfj6emlgj+aOfavGbj3/7RiNeHmJ8vK4ca+ro0jhmj5b/41s3wxZFY6rXI1UeXl5mo4EAADgNEa3HqqZfd+Xh/J/R7Iq/0tTDo7TfSNmKTv7kuF0KEoUKVzTrE3LHNttq7YymAQAAMA5PXxrb/1j8Gfy9ci/VYwVdlxf5ryu9o9MVdr5LMPpUFQoUrimxFObHduPdeCy5wAAAFfSsVYbrX/8SwV7h0iSrDJn9F3IZN328JtKOXXBcDoUBYoUrurwyRSd982/L4JPRqhi69QxnAgAAMB5Na98q7aMXKbwgAhJkhV4Xj9HfaQmD72m/QfOGE6Hm40ihaua8vVCycq/6kydoFsNpwEAAHB+NctX07ZRy1WzbM38Axd99O9/5aplz+lK3HHMbDjcVBQpXNXiXd84trs37GAwCQAAQMkRGRKuTU8u0d01OqnGwf5Str9Onk5X6/tnaNWG5Ov/ASgRKFK4ory8PO3P/DF/J9dTw7p0MxsIAACgBCntH6Il8TO0ec5TuqNZZUnShfQcdXlkpuYs2mk4HW4GihSuaNHGH5Trd16SVO5SNYWGBBtOBAAAUPKUKe2vlbP6qVtcLcnjki7dsVgPfjxab//tB9PR8D+iSOGKZn+7Rpdvyn1X5TvNhgEAACjB/P299fm0+xTdZ7usCsdl1flRT616TqP/vFz25V+4UOJQpHBFxzZFSgsHyN7UWgmdHzIdBwAAoETz9vbS0z3ulyVLkmRF/6K3fh6rhxLm6eLFXMPp8EdQpPA7p8+ma9P2o1K2v+p636nb69Y1HQkAAKDEGxo7UJ/3+0helrckyYo8ojnnXlOnwR/pQnq24XQoLIoUfmf52v2O0/ruaVfTbBgAAAAX0rPB3Vr16DwFeJaSJFmhJ7Um4K+64+HJOn023XA6FAZFCr/zj9W/OLbvblvDYBIAAADXc1e12/X9iMUq61tOkmQFp+rHW6aq6YOv6+CRXw2nw42iSKGAC5kZWmCPk5puUGDVU7q9aSXTkQAAAFxOTGQ9bR21TJWD8y+NbgVk6FDtT9Xsodf14+4ThtPhRlCkUMC0r5coL+isrBq7Vf7WI/Ly8jQdCQAAwCVFl43S1pHL1DCsQf6BMxV0+pCPWvX+ROs2HjAbDtdFkUIBs7Yudmx3rRdnMAkAAIDrKx8Yqu+GL9JjzQar6fmBUp6n0s5nq+PDn2nBP34yHQ/XQJGCQ15ennad35q/k+uhUffcZzYQAACAGwj0LaUP7vuz1s1+VF1++3x6Tk6u7h85U1NmbDacDldDkYLDFz98p1y/NElSmYvVVCU8zHAiAAAA91EqwEeLPuqrAb1jJP902R2+0PDFz+mFSau4ca8TokjBYerqzx3b7aq0MZgEAADAPXl7e+rDN+5RWK/1sgIvyKr+s15LekmPPPuFLl3ixr3OhCIFh02nvnVsj77nAYNJAAAA3Je3l7fe6fO8POUlSbIqHtSMU6+q658+UUZmjuF0uIwiBUnSN//crqyA/Ettlsq6Rc1r1jGcCAAAwH31bdRdK+LnyN8zQJJklT+hFV5vqVX/93T21wzD6SBRpPCbt1fMdmy3iuS0PgAAANPa1bhT3w3/SmV8y0qSrJBflVjhAzV/eJKOHDtnOB0oUpAkbTzynyvCPNX5IYNJAAAAcFnjWxpo68jlqhhUUZJklUpXcvVP1KT/eP2096ThdO6NIgUdOXZOqUvbyP7mXoUfb6u2MY1NRwIAAMBvqpaL0rZRy1W/fD1JkuWbrVMN5+n2fm/r+62HDadzXxQpaNHXeyTbQzoVqceaPGo6DgAAAP5LhcDy+n7EV2oV1TL/wP56Sjvuq/YPzNTilXvMhnNTFClo7uJdju2enbjIBAAAgDMK8gvUyj/N0dtd/qx2gQ9KspSVfUk94ufpozmJpuO5HYqUmztw+Kx+2HZEklSvZnnVr81NeAEAAJyVj5ePRrYerGUzHtYD3epLkvLybMW/NkMT3lnLjXuLEUXKzQ3/bKLUdrFUbbd63lvNdBwAAADcAB8fL302uadGDblNKpcidViocZuf12MvfKXc3DzT8dwCRcrNrT2+UlbYMVnNN6hNm3DTcQAAAHCDPDw89Mpzdyq48zpZXpdkVTqgvx0br57DZior66LpeC6PIuXGFm/+QVn+KZKkUpkV1aZhI7OBAAAAUCilfEtp/sAP5OvhJ0myKhzX4rxJajNwis6lZRlO59ooUm7sjeUzHdtxUZ0MJgEAAMAf1bFWG20YtlAhPqUlSVbps9pU7n01f+gNHTuRZjacC6NIuam8vDxtPrvutx1L43o9YjQPAAAA/rhmlRpry5PLFFnqFkmSVeqCfqn6kZr0n6C9yacNp3NNFCk39f++/ocu+aVKksrkVFfD6KpmAwEAAOB/UqN8VW1LWK465WpLyr9x74n6c9Xs0Re0+Z9HDadzPRQpN/XOmk8c273rdjOYBAAAADdLeFAFbXxyiVpWjpUkWV6XdD5mqdr0/0DL1+4znM61UKTc0PGzZ7Qvd2v+zkUf/fmBeLOBAAAAcNME+wXpm8fmqkfde/IPbL1Lmak+uveROZq5IMloNldCkXJDL8z5UPLKvyRmbe/bFBoSYjgRAAAAbiZfL1993v9vWjZwrnrX6y5JunQpTwNGLdKkqd9x496bgCLlhr75cbvsPEuSNLoDF5kAAABwRR4eHupUt7XmTumtx/s3cxx/9tMP9cTLS5SXx417/xdepgOgeO07cEZHlteV/CurQqPTGtguznQkAAAAFCFPTw+9/2oXRYYF6cUFU2XdtlbvH9yp40+c0+y3H5CPD5Xgj+AdKTczY35S/kZmoJ5qGy8PD/4JAAAAuDrLsvT4kIYKaLklfz/smL7Ifl3tH5mm8xeyDacrmfgt2o3k5FzSx/O2S5I8PS3169nQcCIAAAAUlzIBpbVm6OcK8g6WJFllzujb4HcV+/CbSjl1wXC6koci5UamfblOKWfy727do1MdhVcIMpwIAAAAxalF5Vu15cllCg+IkCRZgef1U+UP1aTfK0o+eNZwupKFIuVGXvr+BanbZ1L9rYp/OMZ0HAAAABhQq0J1bRu1XDXL1pQkWX5Z+nfdWWoy5EVt33nMcLqSgyLlJuZuWKvz/odk+WXKr/ohtb+9hulIAAAAMCQyJFybn1yq2yo2l5R/495zjRbp9lHP6ptvkw2nKxkoUm5i3NL3HNs9qt3PRSYAAADcXIh/sNYMna97a3eWJFkeecqu+606D5muuV/tNJzO+fHbtBvYe/SI9uVuzt+56KO3+48wGwgAAABOwc/bT18M/Eh/aj5AnraPtKGzLmV464HhX+jdjzeZjufUKFJuYOj0SZJnriSpsX8bhZctYzgRAAAAnIWnh6c+6PW6do5eoyFxnR3HR768Qs9NXCXbtg2mc14UKReX8uuvWn92Sf5OnqV3H3rabCAAAAA4HcuyVDusuv72l6566clWvx219Ze17+vBhDm6eDHXaD5nxG2MXdzQ6W/I9smSJFWxm+qOevUNJwIAAICzsixLE0a3VVhoKY1Y+KJUa6fmnk3WyfhULf5giEoF+JiO6DR4R8qFXchM15LD8x37b/Z6zmAaAAAAlBQ9ekQpsN4hSZJV9rTW+L+jlv3e1umz6YaTOQ+KlAsb9vFfleubf5fqCpkN1PP2loYTAQAAoCS4fHn0Cv5hkiQrKE0/3jJNTfu9qkNHU82GcxIUKReVk3NJ6xZYsn9qLDvHR6/e/ZTpSAAAAChB6oTVVGLCClUvXV1S/o17D9X8u24d9KJ2/HzCcDrzKFIu6pP5STqcfFHa0UJtT4/VkE6dTEcCAABACXNLSIQ2j1yqZpFNJEmW9yWdjflSsU88q/UbD5oNZxhFygVlZV3Uq5M3OPYnPkWJAgAAwB9TJqC01g1boC414yTl37g3s/HXaj/+KX25fLfhdOZQpFzQuzN+0NHjaZKke9rXVPPGFQ0nAgAAQEnm7+2vrx75RI80echx7FKlPeo9dLamztxqMJk5FCkXs+fIET3/02CpwRZZPtl6ZXQb05EAAADgAjw9PPXh/W9qbLvRCrTLSeu7yM710uMv/ENj31zjdjfupUi5mF7vjZbtf0FW/e2q3fNfalQvwnQkAAAAuAjLsvRyx9E6MmGjnh0U5zj+yrsb9KfnlujSJfe5cS9FyoXM2bBGP9vr83cueWvO46+ZDQQAAACXFOIfrNfHdNBfx3XMP+CVow/3v62uj32szMyLZsMVE4qUi8jOyVH8/GckK3+/S4W+iomuZjYUAAAAXNrIIbGa+e698mi1Ula1PVrh/abuHPCOzv6aYTpakaNIuYj7/jpOGQFHJUk+meU0Z8R4w4kAAADgDu5oXU7lonIk5d+4NzHsAzXr95rj4meuiiLlAv6xbbOWnpzp2H/n7okKKhVgMBEAAADcRXTZKCUmLFd0SLQkyfLP1L9qfKoWQyboyPFMw+mKDkWqhEu7kK77ZzwmeeZ/sK+RVwc91ulew6kAAADgTiqVvkVbRy3TreGNJUmW90WdavC5np6/TBsTjxpOVzQoUiVcy1cHKzPguCTJJzNUK5+dYjgRAAAA3FHZgDLaMPwLxVVrK0myPPOU3XSl2r/8jJas2ms43c1HkSrBps3epF3Hf8nfyfXUzD7vKzQk2GwoAAAAuK0AnwAtHTJT/Rr3cRy71PBbdZs8Uh/NSTSY7OajSJVQa384oBEvrJTW3iN7TwMNjH5S99/R2nQsAAAAuDkvTy/N6PuOnrlzhOOYHZiq+Ge/0p8nb3CZG/d6mQ6Awtu0/Yi6DZ6jS5fyJHnoicYJend4Z9OxAAAAAEn5N+59pdMz+vXoKS0/9KOO/NBSsj304htrdPzkeb07vrM8PUv2ezolO70bmrRottoPf1PnL+RfYvLudjX09tiOhlMBAAAAv9clso1+eXm5/vJcJ8exKZ9u1f2Pz1dWVsm+cS9FqoSwbVv93ntFz33/lNKbfiWVSlO7O6I1f+p9Jb7NAwAAwHV5enrqmaF36NO/dpeXl4cUeE5fZv9FrQe9p9RzJffy6C7zG/iUKVNUpUoV+fn5qUWLFtqyZYvpSDfNroMHVSXhHs06MkWybFl+WYpue0yLpz+gAH8f0/EAAACA6+rfu5H+PrWTPNosk1XhuDaHvq9m/Sbq2ImSeeNelyhS8+bNU0JCgsaNG6ft27crJiZGHTt21MmTJ01H+5+s+TFJt4+NV8PJd+qI93+uctLIo5P2vPN3ShQAAABKlNtbRKpyRGlJkuWfof1VZ6jxgHHas/+U2WB/gEsUqbffflvx8fEaNGiQ6tatq2nTpikgIEDTp083Ha1Q5izaqZ6jPlS/5RNVKqGB2s/qpE1ZSySv/PNHrRxfDa81RttfnyEfH2/DaQEAAIDCqVymorYlLFejsBhJkuWTo5P156nFI69o0/YjhtMVTom/al9OTo4SExM1ZswYxzEPDw+1b99eGzduvOJrsrOzlZ2d7dhPS8t/O/HixYu6eNHch94Sdx7T0tX7ZHU9WPCBPA/V92qtT4eNV/0qVYxmdCeX/575+zaPWTgPZuE8mIXzYBbOhXk4j6vNItgnSGsem6/eMx/VmgPrpdNhSjsUrLZ9PtWWpUNUq2o5E3EdbvTfTokvUqdPn1Zubq7CwsIKHA8LC9OePXuu+JqJEydq/Pjxvzu+cuVKBQQEFEnOG3EqJUXK9svfyfWUf0a4avvW1YP1W6l6+Qo6vHu3Du/ebSyfu1q1apXpCPgNs3AezMJ5MAvnwSycC/NwHlebxdDwPiqdFaifk6K1O++SWjUJ0f6fNyl5j1XMCQvKyMi4oeeV+CL1R4wZM0YJCQmO/bS0NFWqVElxcXEKDg42lqtZi3QlDD2vzdvrqm/37vL38zOWBfn/N2LVqlXq0KGDvL05ldIkZuE8mIXzYBbOg1k4F+bhPG5kFveqq7LjL+lvs7fr8f5NneJq1JfPVrueEl+kQkND5enpqZSUlALHU1JSFB4efsXX+Pr6ytfX93fHvb29jS64yPDSKl+ulA7uD5a/nx+L30mY/neB/2AWzoNZOA9m4TyYhXNhHs7jerPw9vZWwqMtizHRtd3ovxvzle9/5OPjoyZNmmj16tWOY3l5eVq9erViY2MNJgMAAADgqkr8O1KSlJCQoAEDBqhp06Zq3ry53nnnHaWnp2vQoEGmowEAAABwQS5RpPr06aNTp05p7NixOnHihBo1aqQVK1b87gIUAAAAAHAzuESRkqThw4dr+PDhpmMAAAAAcAMl/jNSAAAAAFDcKFIAAAAAUEgUKQAAAAAoJIoUAAAAABQSRQoAAAAACokiBQAAAACFRJECAAAAgEKiSAEAAABAIVGkAAAAAKCQKFIAAAAAUEgUKQAAAAAoJIoUAAAAABQSRQoAAAAACsnLdABnYNu2JCktLc1wEunixYvKyMhQWlqavL29Tcdxa8zCeTAL58EsnAezcB7MwrkwD+dRUmdxuRNc7ghXQ5GSdP78eUlSpUqVDCcBAAAA4AzOnz+vkJCQqz5u2derWm4gLy9Px44dU1BQkCzLMpolLS1NlSpV0pEjRxQcHGw0i7tjFs6DWTgPZuE8mIXzYBbOhXk4j5I6C9u2df78eUVGRsrD4+qfhOIdKUkeHh6qWLGi6RgFBAcHl6h/cK6MWTgPZuE8mIXzYBbOg1k4F+bhPEriLK71TtRlXGwCAAAAAAqJIgUAAAAAhUSRcjK+vr4aN26cfH19TUdxe8zCeTAL58EsnAezcB7MwrkwD+fh6rPgYhMAAAAAUEi8IwUAAAAAhUSRAgAAAIBCokgBAAAAQCFRpAAAAACgkChSTmTKlCmqUqWK/Pz81KJFC23ZssV0JLf08ssvy7KsAl+1a9c2HcstbNiwQV27dlVkZKQsy9KiRYsKPG7btsaOHauIiAj5+/urffv22rdvn5mwLu56sxg4cODv1kmnTp3MhHVxEydOVLNmzRQUFKQKFSqoe/fu2rt3b4HnZGVladiwYSpXrpwCAwPVq1cvpaSkGErsum5kFq1bt/7d2njssccMJXZdU6dOVcOGDR03eo2NjdXy5csdj7Mmis/1ZuHKa4Ii5STmzZunhIQEjRs3Ttu3b1dMTIw6duyokydPmo7mlurVq6fjx487vr777jvTkdxCenq6YmJiNGXKlCs+PmnSJE2ePFnTpk3T5s2bVapUKXXs2FFZWVnFnNT1XW8WktSpU6cC62TOnDnFmNB9rF+/XsOGDdOmTZu0atUqXbx4UXFxcUpPT3c8Z9SoUVqyZIk+//xzrV+/XseOHVPPnj0NpnZNNzILSYqPjy+wNiZNmmQoseuqWLGiXn/9dSUmJmrbtm1q27atunXrpp9++kkSa6I4XW8WkguvCRtOoXnz5vawYcMc+7m5uXZkZKQ9ceJEg6nc07hx4+yYmBjTMdyeJHvhwoWO/by8PDs8PNx+4403HMdSU1NtX19fe86cOQYSuo//noVt2/aAAQPsbt26Gcnj7k6ePGlLstevX2/bdv468Pb2tj///HPHc37++Wdbkr1x40ZTMd3Cf8/Ctm37rrvusp988klzodxYmTJl7I8++og14QQuz8K2XXtN8I6UE8jJyVFiYqLat2/vOObh4aH27dtr48aNBpO5r3379ikyMlJVq1bVQw89pMOHD5uO5PYOHDigEydOFFgnISEhatGiBevEkHXr1qlChQqqVauWhg4dqjNnzpiO5BbOnTsnSSpbtqwkKTExURcvXiywNmrXrq3KlSuzNorYf8/islmzZik0NFT169fXmDFjlJGRYSKe28jNzdXcuXOVnp6u2NhY1oRB/z2Ly1x1TXiZDgDp9OnTys3NVVhYWIHjYWFh2rNnj6FU7qtFixaaMWOGatWqpePHj2v8+PG68847tWvXLgUFBZmO57ZOnDghSVdcJ5cfQ/Hp1KmTevbsqejoaCUnJ+v5559X586dtXHjRnl6epqO57Ly8vI0cuRItWzZUvXr15eUvzZ8fHxUunTpAs9lbRStK81Ckh588EFFRUUpMjJSO3bs0LPPPqu9e/fqyy+/NJjWNe3cuVOxsbHKyspSYGCgFi5cqLp16yopKYk1UcyuNgvJtdcERQr4L507d3ZsN2zYUC1atFBUVJTmz5+vwYMHG0wGOI++ffs6ths0aKCGDRuqWrVqWrdundq1a2cwmWsbNmyYdu3axec2ncDVZvHoo486ths0aKCIiAi1a9dOycnJqlatWnHHdGm1atVSUlKSzp07pwULFmjAgAFav3696Vhu6WqzqFu3rkuvCU7tcwKhoaHy9PT83dVkUlJSFB4ebigVLitdurRq1qyp/fv3m47i1i6vBdaJc6patapCQ0NZJ0Vo+PDhWrp0qdauXauKFSs6joeHhysnJ0epqakFns/aKDpXm8WVtGjRQpJYG0XAx8dH1atXV5MmTTRx4kTFxMTo3XffZU0YcLVZXIkrrQmKlBPw8fFRkyZNtHr1asexvLw8rV69usD5pTDjwoULSk5OVkREhOkobi06Olrh4eEF1klaWpo2b97MOnECR48e1ZkzZ1gnRcC2bQ0fPlwLFy7UmjVrFB0dXeDxJk2ayNvbu8Da2Lt3rw4fPszauMmuN4srSUpKkiTWRjHIy8tTdnY2a8IJXJ7FlbjSmuDUPieRkJCgAQMGqGnTpmrevLneeecdpaena9CgQaajuZ3Ro0era9euioqK0rFjxzRu3Dh5enrqgQceMB3N5V24cKHA/6E6cOCAkpKSVLZsWVWuXFkjR47Uq6++qho1aig6OlovvfSSIiMj1b17d3OhXdS1ZlG2bFmNHz9evXr1Unh4uJKTk/XMM8+oevXq6tixo8HUrmnYsGGaPXu2vvrqKwUFBTk+4xESEiJ/f3+FhIRo8ODBSkhIUNmyZRUcHKwRI0YoNjZWt912m+H0ruV6s0hOTtbs2bPVpUsXlStXTjt27NCoUaPUqlUrNWzY0HB61zJmzBh17txZlStX1vnz5zV79mytW7dOX3/9NWuimF1rFi6/JkxfNhD/8d5779mVK1e2fXx87ObNm9ubNm0yHckt9enTx46IiLB9fHzsW265xe7Tp4+9f/9+07Hcwtq1a21Jv/saMGCAbdv5l0B/6aWX7LCwMNvX19du166dvXfvXrOhXdS1ZpGRkWHHxcXZ5cuXt729ve2oqCg7Pj7ePnHihOnYLulKc5Bkf/LJJ47nZGZm2o8//rhdpkwZOyAgwO7Ro4d9/Phxc6Fd1PVmcfjwYbtVq1Z22bJlbV9fX7t69er2008/bZ87d85scBf0yCOP2FFRUbaPj49dvnx5u127dvbKlSsdj7Mmis+1ZuHqa8KybdsuzuIGAAAAACUdn5ECAAAAgEKiSAEAAABAIVGkAAAAAKCQKFIAAAAAUEgUKQAAAAA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" ] @@ -1164,16 +1173,16 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.334137Z", - "iopub.status.busy": "2025-11-27T09:14:09.333967Z", - "iopub.status.idle": "2025-11-27T09:14:09.520854Z", - "shell.execute_reply": "2025-11-27T09:14:09.520105Z" + "iopub.execute_input": "2025-11-27T09:37:08.348396Z", + "iopub.status.busy": "2025-11-27T09:37:08.348230Z", + "iopub.status.idle": "2025-11-27T09:37:08.547647Z", + "shell.execute_reply": "2025-11-27T09:37:08.546585Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1202,16 +1211,16 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.522702Z", - "iopub.status.busy": "2025-11-27T09:14:09.522521Z", - "iopub.status.idle": "2025-11-27T09:14:09.640202Z", - "shell.execute_reply": "2025-11-27T09:14:09.639364Z" + "iopub.execute_input": "2025-11-27T09:37:08.549424Z", + "iopub.status.busy": "2025-11-27T09:37:08.549253Z", + "iopub.status.idle": "2025-11-27T09:37:08.664297Z", + "shell.execute_reply": "2025-11-27T09:37:08.663527Z" } }, "outputs": [ { "data": { - "image/png": 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", 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2bKnQ0FDl5eXp6quvvmBt7gvC++mMU+d0nUlUVJRyc3N18uRJp6BSo0YNSVJMTEyxx1SvXv28w1oBm82mv/76yxEMIyIiFBcXpy1btpz1cVu2bFHNmjUVHh5ertcvqzN9f0tj+PDhuueee7R//35lZ2dr3bp1Tg06ijpx4oSqVat23q8FoPIgVAHwSsOGDdPkyZO1ZcsWzZ8/X40aNXJ065OkBg0aKC0trViXtbIoy/9gN2jQQEuWLNHx48fPOFv15ZdfKjs7W4sWLXKa6VixYsV51ZeYmKg1a9borrvuUufOnZ325eXl6ZZbbtH8+fP16KOPqkGDBpKk33777Yyhp+gxZ/q+FQQ0q9Va5u9twfOHh4ef97icOHFCy5cv17Rp0zRlyhTH9oJZsKLKMn5169bV9u3bi23/888/HftdoXHjxpLyx6558+aO7a1bt5akEpdOHjhwwPG48/XJJ58oMzPTKQhfe+21mjVrln788UenZY8FfvjhB+3evVu33357uV5bKvz+bd++vdi1srZv3+6y768kDRkyRBMnTtSCBQuUmZkpq9WqG2+8scRjExMT1aJFC5e9NgDPxTlVALxSwazUlClTtGnTpmKd1wYPHqy1a9dqyZIlxR6bnJys3Nzcc75GwTWRTu9MVpJBgwbJMAxNmzat2L6C2YuC/30vOpuRkpKiOXPmnPP5S1IwS/XAAw/o+uuvd/oaPHiwOnfu7DimZ8+eCgsL0/Tp05WVlVVifZdddpni4+Md7bdLOqZ69erq0qWL3nzzTR08eLBYTUeOHDljva1bt1aDBg3073//23EOUWkfW6Ck76Ekvfzyy8WOLcv49enTRz///LNTy+309HS99dZbqlevni655JJzPkdpFHSfK9pmX8pfFteiRQt98cUXTuf4LF26VPv27VOPHj3O+zU3b96s8ePHq0qVKo7loJJ0//33KygoSLfffrtTO3opf4nlv/71LwUHBzta05dHmzZtVL16db3xxhtOreIXL16sP/74Q9dcc025X6NAtWrV1Lt3b73//vuaN2+err766hJno1JSUrRr1y5dfvnlLnttAJ6LmSoAXik+Pl6XX3654xozp4eq+++/X4sWLdK1116rkSNHqnXr1kpPT9fWrVv1ySefaPfu3edc9tOgQQNFRkbqjTfeUFhYmEJCQtS+ffsSz/O56qqrdMstt+jVV1/Vjh07HEvRfvjhB1111VW666671LNnT/n7+6tv3766/fbblZaWplmzZql69eolBpRzmTdvnlq2bKnatWuXuL9fv34aN26cNm7cqMsuu0wvvfSS/u///k9t27Z1XPtp8+bNysjI0LvvvisfHx/NnDlTffv2VcuWLTVq1CjFxcXpzz//1O+//+4IqDNmzNAVV1yhZs2aacyYMapfv74OHTqktWvXav/+/dq8eXOJ9fj4+Ojtt99W79691bRpU40aNUo1a9bUP//8oxUrVig8PFxffvnlWd9zeHi4OnXqpOeee042m001a9bU0qVLlZiYWOzYgtmfRx55REOGDJHValXfvn1LvIDwQw89pAULFqh37966++67VbVqVb377rtKTEzUp59+Kh8f1/wfZv369XXppZfqf//7n2699VanfS+99JJ69OihK664QrfffrtSUlL04osv6qKLLtIdd9xRquf/4YcflJWVJbvdrmPHjmn16tVatGiRIiIitHDhQsXGxjqObdSokd59910NGzZMzZo10+jRoxUfH6/du3dr9uzZOnr0qBYsWOCYYSwPq9WqZ599VqNGjVLnzp01dOhQHTp0SK+88orq1aunCRMmlPs1iho+fLjjIshPPPFEicf873//k2EY6t+/v0tfG4CHclPXQQBwuxkzZhiSjHbt2pW4/+TJk8akSZOMhg0bGv7+/ka1atWMyy+/3Pj3v/9t5OTkGIZR2FL9+eefL/E5vvjiC+OSSy4x/Pz8nNqrn95S3TDyW5I///zzRuPGjQ1/f38jOjra6N27t7FhwwbHMYsWLTKaN29uBAYGGvXq1TOeffZZ45133inW+vtcLdU3bNhgSDImT558xmN2795tSDImTJjg9PqXX365ERQUZISHhxvt2rUzFixY4PS4H3/80ejRo4cRFhZmhISEGM2bNzdee+01p2N27dplDB8+3IiNjTWsVqtRs2ZN49prrzU++eQTxzGnt1Qv8OuvvxoDBw40oqKijICAAKNu3brG4MGDjeXLlzuOKWipfuTIkWLva//+/cZ1111nREZGGhEREcYNN9xgHDhwoFh7bcPIb61fs2ZNw8fHx+l7fHpL9YL3dP311xuRkZFGYGCg0a5dO+Orr75yOuZMrcsLfo5Kar9/uhdffNEIDQ0tsTX8smXLjA4dOhiBgYFG1apVjVtuucU4ePDgOZ+zoK6CL6vVakRHRxudOnUynnrqqWKXCyhqy5YtxtChQ424uDjDarUasbGxxtChQ0tsD1/QUn39+vXnrKkkH374odGqVSsjICDAqFq1qjFs2DBj//79TseMGDHCCAkJKfbYgp+Jokoac8MwjOzsbKNKlSpGREREsUsIFLjxxhuNK6644rzeB4DKx2IY5zgrFgAAmEZKSorq16+v5557ztGhDq6Vm5urGjVqqG/fvpo9e3ax/UlJSYqPj9cHH3zATBUASZxTBQCAR4mIiNADDzyg559//oJ1K/Q2n3/+uY4cOaLhw4eXuP/ll19Ws2bNCFQAHJipAgAAkPTTTz9py5YteuKJJ1StWrXzvhg0AO/DTBUAAICkmTNn6o477lD16tX13nvvubscAB6EmSoAAAAAKAdmqgAAAACgHAhVAAAAAFAOXPz3NHl5eTpw4IDCwsJksVjcXQ4AAAAANzEMQydPnlSNGjXOeiF3QtVpDhw4oNq1a7u7DAAAAAAmsW/fPtWqVeuM+wlVpwkLC5OU/40LDw93ay02m01Lly5Vz549ZbVa3VqLt2MszIOxMA/GwjwYC/NgLMyDsTAPTx6L1NRU1a5d25ERzoRQdZqCJX/h4eGmCFXBwcEKDw/3uB/AyoaxMA/GwjwYC/NgLMyDsTAPxsI8KsNYnOu0IBpVAAAAAEA5EKoAAAAAoBwIVQAAAABQDpxTBQAAAJiM3W6XzWZzdxkuYbPZ5Ofnp6ysLNntdneX48TX11d+fn7lvpQSoQoAAAAwkbS0NO3fv1+GYbi7FJcwDEOxsbHat2+fKa8DGxwcrLi4OPn7+5/3c3hUqPrnn3/04IMPavHixcrIyFDDhg01Z84ctWnTRlL+gE2dOlWzZs1ScnKyOnbsqJkzZ6pRo0ZurhwAAAA4N7vdrv379ys4OFjR0dGmDCFllZeXp7S0NIWGhp71AroXmmEYysnJ0ZEjR5SYmKhGjRqdd30eE6pOnDihjh076qqrrtLixYsVHR2tHTt2qEqVKo5jnnvuOb366qt69913FR8fr8mTJ6tXr17atm2bAgMD3Vg9AAAAcG42m02GYSg6OlpBQUHuLscl8vLylJOTo8DAQFOFKkkKCgqS1WrVnj17HDWeD48JVc8++6xq166tOXPmOLbFx8c7bhuGoZdfflmPPvqo+vfvL0l67733FBMTo88//1xDhgy54DUDAAAA56MyzFB5ClcEPY8JVYsWLVKvXr10ww03aOXKlapZs6buvPNOjRkzRpKUmJiopKQkde/e3fGYiIgItW/fXmvXrj1jqMrOzlZ2drbjfmpqqqT8/yVw98mBBa/v7jrAWJgJY2EejIV5MBbmwViYh6eORcFMVV5envLy8txdjksUnBtW8L7MJi8vT4ZhyGazydfX12lfaX9+LIaHnAFXMBU3ceJE3XDDDVq/fr3uuecevfHGGxoxYoTWrFmjjh076sCBA4qLi3M8bvDgwbJYLPrwww9LfN7HHntM06ZNK7Z9/vz5Cg4Orpg3AwAAAJTAz89PsbGxql27drkaJ6D0cnJytG/fPiUlJSk3N9dpX0ZGhm666SalpKQoPDz8jM/hMaHK399fbdq00Zo1axzb7r77bq1fv15r164971BV0kxV7dq1dfTo0bN+4y4Em82mZcuWqUePHrJarW6txdsxFubBWJgHY2EejIV5MBbm4aljkZWVpX379qlevXqVpieAYRg6efKkwsLCTLmsMSsrS7t371bt2rWLfc9TU1NVrVq1c4Yqj1n+FxcXp0suucRpW5MmTfTpp59KkmJjYyVJhw4dcgpVhw4dUsuWLc/4vAEBAQoICCi23Wq1muYDaKZavB1jYR6MhXkwFubBWJgHY2EenjYWdrtdFotFPj4+pmvqcC5n6tR92WWXSZLjfRWYO3euRo0aJSn/vKbw8HBddNFFuuaaa3TPPfcoIiLC6fn37dunqVOn6ttvv9XRo0cVFxenAQMGaMqUKYqKinIc16VLF61cubJYfQXXyzqdj4+PLBZLiT8rpf3Z8ZiR6tixo7Zv3+607a+//lLdunUl5TetiI2N1fLlyx37U1NT9dNPPykhIeGC1goAAAB4k4JO3VarVYsXL9a2bdv0wgsvOHXqLkl4eLgOHjyo/fv3a82aNbrtttv03nvvqWXLljpw4IDjuL///ltt2rTRjh07tGDBAu3cuVNvvPGGli9froSEBB0/ftzpeceMGaODBw86fZUUqFzFY2aqJkyYoMsvv1xPP/20Bg8erJ9//llvvfWW3nrrLUn5yXf8+PF68skn1ahRI0dL9Ro1amjAgAHuLR4AAACoxM7WqftszSksFotjxVlcXJyaNGmivn37qmnTpnrggQf0/vvvS5LGjh0rf39/LV261NFqvk6dOmrVqpUaNGigRx55RDNnznQ8b3BwsON5LwSPCVVt27bVwoULNWnSJD3++OOKj4/Xyy+/rGHDhjmOeeCBB5Senq7bbrtNycnJuuKKK/Ttt99WmvWoAAAA8D5t+ryppCNpF/x1Y6ND9cs3t5fq2HN16i6L6tWra9iwYXrnnXdkt9uVkpKiJUuW6Kmnnip27a7Y2FgNGzZMH374oV5//XW3nbPlMaFKkq699lpde+21Z9xvsVj0+OOP6/HHH7+AVQEAAAAVJ+lImv5JOunuMs7q77//1syZMzVx4kQ9/PDDWr9+ve6++275+/vrlltuKfPzNW7cWCdPntSxY8eUmJgowzDUpEmTEo9t0qSJTpw4oSNHjqh69eqSpNdff11vv/2245jbb79dL7zwwvm9uVLwqFDlbbbtOKK3P9mvqLh/dEW7eu4uBwAAAG4QGx1q+tfNy8tTmzZt9PTTT0uSWrVqpd9++01vvPHGeYWqggblRWeeytK0fNiwYXrkkUcc9yMjI8tcQ1kQqkzsioFzlZaeo6++nytj32PuLgcAAABuUNoleO50rk7dZfXHH38oPDxcUVFRju58f/zxh6677roSj61SpYqio6Md2yIiItSwYcPzeu3z4THd/7xRWnqOu0sAAAAAzulcnbrL4vDhw5o/f74GDBggHx8fRUVFqUePHnr99deVmZnpdGxSUpLmzZunG2+80a3XwCJUAQAAACiXCRMmaN26dXr66ae1c+dOzZ8/X2+99ZbGjh171scZhqGkpCQdPHhQf/zxh9555x1dfvnlioiI0DPPPOM47j//+Y+ys7PVq1cvrVq1Svv27dO3336rHj16qGbNmnrqqacq+i2eFaEKAAAAQLkUdOpesGCBLr30Uj3xxBPFOnWXJDU1VXFxcapZs6YSEhL05ptvasSIEfr1118VFxfnOK5Ro0b65ZdfVL9+fQ0ePFgNGjTQbbfdpquuukpr165V1apVK/otnhXnVAEAAAAot3N16j7dyJEjNXLkyFIfX7duXc2dO/ecx33//felfk5XYaYKAAAAAMqBUAUAAAAA5UCo8hBl6csPAAAA4MIhVJnU6SGKUAUAAACYE6HKpGw2u9P9vDxCFQAAgLfgP9QvHFd8rwlVJmXLzXO6T6gCAACo/Hx9fSVJOTk5bq7Ee2RkZEiSrFbreT8HLdVNKieHmSoAAABv4+fnp+DgYB05ckRWq1U+Pp4/B5KXl6ecnBxlZWWZ6v0YhqGMjAwdPnxYkZGRjkB7PghVJmXLPS1UMQUMAABQ6VksFsXFxSkxMVF79uxxdzkuYRiGMjMzFRQUJIvF4u5yiomMjFRsbGy5noNQZVI5nFMFAADglfz9/dWoUaNKswTQZrNp1apV6tSpU7mW2FUEq9VarhmqAoQqk7LZOKcKAADAW/n4+CgwMNDdZbiEr6+vcnNzFRgYaLpQ5SrmWdQIJ8xUAQAAAJ6BUGVSdrvzTJWdUAUAAACYEqHKpE6fmWKmCgAAADAnQpVJnd7tj1AFAAAAmBOhyqSYqQIAAAA8A6HKpE6/LBWhCgAAADAnQpVJFZup4uK/AAAAgCkRqkyK5X8AAACAZyBUmZRBowoAAADAIxCqTIrufwAAAIBnIFSZFOdUAQAAAJ6BUGVSnFMFAAAAeAZClUmdPjFlt+e5pxAAAAAAZ0WoMilmqgAAAADPQKgyqWKNKjinCgAAADAlQpVJMVMFAAAAeAZClUlxnSoAAADAMxCqTIqZKgAAAMAzEKpMilAFAAAAeAZClUmdHqFoVAEAAACYE6HKpJipAgAAADwDocqkCFUAAACAZyBUmdTpIcpuJ1QBAAAAZkSoMqliLdU5pwoAAAAwJUKVSZ0eolj+BwAAAJgTocqkOKcKAAAA8AyEKpMiVAEAAACegVBlUqefQsU5VQAAAIA5EapMipkqAAAAwDMQqkyKRhUAAACAZyBUmVSxluqEKgAAAMCUCFUmxfI/AAAAwDN4TKh67LHHZLFYnL4aN27s2J+VlaWxY8cqKipKoaGhGjRokA4dOuTGisunWKiiUQUAAABgSh4TqiSpadOmOnjwoOPrxx9/dOybMGGCvvzyS3388cdauXKlDhw4oIEDB7qx2vI5PVTZ7XluqgQAAADA2fi5u4Cy8PPzU2xsbLHtKSkpmj17tubPn6+uXbtKkubMmaMmTZpo3bp16tChw4Uu1eVY/gcAAACYk0eFqh07dqhGjRoKDAxUQkKCpk+frjp16mjDhg2y2Wzq3r2749jGjRurTp06Wrt27VlDVXZ2trKzsx33U1NTJUk2m002m63i3sw52O12p/s5tly31uPtCr73jIH7MRbmwViYB2NhHoyFeTAW5uHJY1Hamj0mVLVv315z587VxRdfrIMHD2ratGm68sor9dtvvykpKUn+/v6KjIx0ekxMTIySkpLO+rzTp0/XtGnTim1funSpgoODXfkWymTL1mNO93/9dZMirHvdVA0KLFu2zN0l4BTGwjwYC/NgLMyDsTAPxsI8PHEsMjIySnWcx4Sq3r17O243b95c7du3V926dfXRRx8pKCjovJ930qRJmjhxouN+amqqateurZ49eyo8PLxcNZfH4bRNkgpDVLPmzdWnT3O31ePtbDabli1bph49eshqtbq7HK/GWJgHY2EejIV5MBbmwViYhyePRcEqtnPxmFB1usjISF100UXauXOnevTooZycHCUnJzvNVh06dKjEc7CKCggIUEBAQLHtVqvVrYPu4+vrfN/i43E/hJWRu38uUIixMA/GwjwYC/NgLMyDsTAPTxyL0tbrUd3/ikpLS9OuXbsUFxen1q1by2q1avny5Y7927dv1969e5WQkODGKl3HTqMKAAAAwJQ8ZqbqvvvuU9++fVW3bl0dOHBAU6dOla+vr4YOHaqIiAiNHj1aEydOVNWqVRUeHq5x48YpISGhUnT+k6TcXFqqAwAAAGbkMaFq//79Gjp0qI4dO6bo6GhdccUVWrdunaKjoyVJL730knx8fDRo0CBlZ2erV69eev31191ctevk2OznPggAAADABecxoeqDDz446/7AwEDNmDFDM2bMuEAVXVg5OYQqAAAAwIw89pwqb2PLJVQBAAAAZkSoMinDcG5MwfI/AAAAwJwIVR6C5X8AAACAORGqPAQzVQAAAIA5Eao8hM1GS3UAAADAjAhVHoKZKgAAAMCcCFUmdVqfCkIVAAAAYFKEKg9BqAIAAADMiVDlIej+BwAAAJgTocpDcPFfAAAAwJwIVR6CmSoAAADAnAhVJmWc1qmCc6oAAAAAcyJUeYjMrFx3lwAAAACgBIQqD3EiJdPdJQAAAAAoAaHKQxxPJlQBAAAAZkSo8hCEKgAAAMCcCFUeIjMrV5mZNneXAQAAAOA0hCqTOq35nyTOqwIAAADMiFDlQVgCCAAAAJgPocqDEKoAAAAA8yFUeRBCFQAAAGA+hCoPQqgCAAAAzIdQZVJGCZ0qCFUAAACA+RCqPAihCgAAADAfQpUHOU5LdQAAAMB0CFUehJkqAAAAwHwIVR5kyx+H3F0CAAAAgNMQqjzI9l3HtH3XUXeXAQAAAKAIQpVJFW3+d+nF1R23v1j6pxuqAQAAAHAmhCoP0K/nRY7bH3+1zY2VAAAAADgdocoDNKhbRS2bxkqSftlyQK/N+cnNFQEAAAAoQKjyEONHd3DcvnvKYr389tpix+zafVzjJn+jGXN/Vl5e3oUsDwAAAPBafu4uAKUz/PoW2pF4TE+99oMkacK0JbLl5un+f3WUJB1ISlWH/m/r6PEMSdJ3axL13svXKSTY3201AwAAAN6AmSqTMop2qpBksVj0xP1d9djELo5tDzy1TE+/tkp2e55uvuczR6CSpM8W/6ErBr6jvf8kX6CKAQAAAO9EqPIAFovF8efUCV305P1dHfseee47RTZ9RivW7C72uE2/J6ld31lau2HfBaoUAAAA8D6EKg/0yN2d9OzD3R3309JzJEkWi/T9RyO17buxalivqiTp0JF0dRk8V+99sskdpQIAAACVHqHKQz1wxxV67pEeTtsevbuTOifUU5NG0fpp0f+pa8d4SVJOjl0jJnyuB59eJrudBhYAAACAKxGqPNj9/+qo2c/3U/MmMRpz02WaMr6zY1/VKsH69r83687hbR3bnpu5WqPu/dwNlQIAAACVF6HKpE7rU3FGtw65TJuX3qG3nu0nPz9fp31Wq69mPHWNZjzZR76++edl/ffTLdq49YCrywUAAAC8FqHKA5zqU3He7hzRTi8/drXj/ktvrytnRQAAAAAKEKq8xK03tlJUlSBJ0vufbdGoiZ/rrXm/KCvL5ubKAAAAAM9GqPISwUH+uuOWwvOr5n68Sbc/9JWuvuV92Wx2N1YGAAAAeDZClRe5/1+Xq+lF0U7bVq7bo6deW+WmigAAAADPR6jyIuFhgfrpyzH68bNb9Z8n+sjHJ/9krSdfXaWfft3v5uoAAAAAz0SoMilDpWz/V0Yhwf7q2LaOxo5s52jBbrcbuvnuz5SekVMhrwkAAABUZoQqD2BROdv/ncEj465Uu5Y1JUk7dx/XvU8sqZDXAQAAACozQpUX8/Pz1fuvDlRwkFWS9Ob7G/T18r/cXBUAAADgWQhVXq5RfJRenNLLcX/0/V8oLT3bjRUBAAAAnoVQBd02rLX6dG0kSTp0JF2LV+x0c0UAAACA5/DYUPXMM8/IYrFo/Pjxjm1ZWVkaO3asoqKiFBoaqkGDBunQoUPuK7IcjIrpU1Eii8Wi8aM7OO4vWrb9wr04AAAA4OE8MlStX79eb775ppo3b+60fcKECfryyy/18ccfa+XKlTpw4IAGDhzopipdx1IxfSqcdO5QV2Gh/pKkb77bodxcLggMAAAAlIbHhaq0tDQNGzZMs2bNUpUqVRzbU1JSNHv2bL344ovq2rWrWrdurTlz5mjNmjVat26dGyv2DP7+frq6S0NJ0vHkTP306z9urggAAADwDH7uLqCsxo4dq2uuuUbdu3fXk08+6di+YcMG2Ww2de/e3bGtcePGqlOnjtauXasOHTqU9HTKzs5WdnZhY4bU1FRJks1mk81mq6B3cW52u93p9oWopVen+vr4q22SpK+/2652LeMq/DU9RcH3350/E8jHWJgHY2EejIV5MBbmwViYhyePRWlr9qhQ9cEHH2jjxo1av359sX1JSUny9/dXZGSk0/aYmBglJSWd8TmnT5+uadOmFdu+dOlSBQcHl7vm8/X770cct7du3apvAit+5sinyA/Nx4t+VfvGGRX+mp5m2bJl7i4BpzAW5sFYmAdjYR6MhXkwFubhiWORkVG634c9JlTt27dP99xzj5YtW6bAwECXPe+kSZM0ceJEx/3U1FTVrl1bPXv2VHh4uMtep6z+Prxe0n5JUrNmzdSnT4sL8rovv39YW/44rJ17M9Sk2eWKrx15QV7X7Gw2m5YtW6YePXrIarW6uxyvxliYB2NhHoyFeTAW5sFYmIcnj0XBKrZz8ZhQtWHDBh0+fFiXXXaZY5vdbteqVav0n//8R0uWLFFOTo6Sk5OdZqsOHTqk2NjYMz5vQECAAgICim23Wq1uHXRf38LT3fz8/C5YLTdc01Rb/jgsSZr53ga99NjVF+R1PYW7fy5QiLEwD8bCPBgL82AszIOxMA9PHIvS1usxjSq6deumrVu3atOmTY6vNm3aaNiwYY7bVqtVy5cvdzxm+/bt2rt3rxISEtxYuWe5/eY2CgzIz9pvf7BRySmZbq4IAAAAMDePmakKCwvTpZde6rQtJCREUVFRju2jR4/WxIkTVbVqVYWHh2vcuHFKSEg4Y5MKFBcdFaIRN7TQm+9vUFp6jmYt2Kj7/9XR3WUBAAAApuUxM1Wl8dJLL+naa6/VoEGD1KlTJ8XGxuqzzz5zd1keZ8L/Fc7svfrOT7LZuGYVAAAAcCYeM1NVku+//97pfmBgoGbMmKEZM2a4p6BK4uIG1dS3+0X68n9/af/BVH301e8adl3zcz8QAAAA8EKVaqaqMjEM977+vbdd7rj9wltrZLi7IAAAAMCkyjRTlZeXp5UrV+qHH37Qnj17lJGRoejoaLVq1Urdu3dX7dq1K6pOr2axXPjX7NShrlo3i9OGrQf1629JWrlut7okxF/4QgAAAACTK9VMVWZmpp588knVrl1bffr00eLFi5WcnCxfX1/t3LlTU6dOVXx8vPr06aN169ZVdM24ACwWiyaOKTy36stlf7mxGgAAAMC8SjVTddFFFykhIUGzZs0640W79uzZo/nz52vIkCF65JFHNGbMGJcXiwvrqssLZ6Z+237YjZUAAAAA5lWqULV06VI1adLkrMfUrVtXkyZN0n333ae9e/e6pDi4V2z1UFWNDNLx5ExCFQAAAHAGpVr+d65AVZTValWDBg3OuyDkM0NjCIvFosYNq0mSDhw6qYzMHDdXBAAAAJhPqbv/bdy4UZMmTdKJEyckSY8++miFFQVnFnd0qjilQd0qjtuJe5PdVgcAAABgVqUOVbfddptCQ0N13XXXKSUlRd99911F1gWTqF+nMFT9vfeEGysBAAAAzKnUoSowMFCPPPKInn/+eY0ePdoUy9NQ8YqGqn63LtDM99a7sRoAAADAfEodqoKCgiRJbdu2Ve/evbVhw4YKKwrmUTRUSdKdj3ytzduS3FQNAAAAYD6lvvjvk08+qdzcXPn5+Wn06NGKioqqyLq8nlkmAk8PVZK0ev1etbgk1g3VAAAAAOZT6pmq9u3by8+vMIMNGDBAkpSamqrPP/9cf/zxh8uLQz439qlQXEyYwkL9nbZt23HETdUAAAAA5lPqUFVg8ODB+s9//iNJyszMVJs2bTR48GA1b95cn376qcsLhHtZLBY9/0hPBQYUBurjyZlurAgAAAAwlzKHqlWrVunKK6+UJC1cuFCGYSg5OVmvvvqqnnzySZcXCPe7/eY2OvDLvY77hCoAAACgUJlDVUpKiqpWrSpJ+vbbbzVo0CAFBwfrmmuu0Y4dO1xeIMwhIjzAsQyRUAUAAAAUKnOoql27ttauXav09HR9++236tmzpyTpxIkTCgwMdHmBMAcfHx9FhueP74mULDdXAwAAAJhHmUPV+PHjNWzYMNWqVUs1atRQly5dJOUvC2zWrJmr6/NaZrwOWJWI/Lb6zFQBAAAAhUrdUr3AnXfeqXbt2mnfvn3q0aOHfHzyc1n9+vU5p6qCWNzZ/q+IqpFB+nvvCSWnZikvL88x9gAAAIA3K3WouvLKK9W/f3/1799fbdq0UZs2bZz2X3PNNS4vDuZSNTJ/piovz1DqyWxFnpq5AgAAALxZqacaxowZo7Vr1+qyyy5TkyZN9OCDD2r16tWmXKaGilElovCcOZYAAgAAAPlKHaqGDx+uTz/9VEePHtULL7yg5ORk3XDDDYqNjdWtt96qzz//XJmZ/KJdmRXMVEk0qwAAAAAKlPmkmICAAPXp00dvvvmmDhw4oEWLFikuLk6TJ09WVFSUrr32Wq1evboiavUqZpwALBqqmKkCAAAA8pW700D79u311FNPaevWrdq6dau6deumgwcPuqI2nGKONhWF3f8k6UQKoQoAAACQzqP7X1FpaWnKy8tz3I+OjtaECRPKXRTMiZkqAAAAoLgyz1QlJibqmmuuUUhIiCIiIlSlShVVqVJFkZGRqlKlSkXUCJOgUQUAAABQXJlnqm6++WYZhqF33nlHMTExprmGEioejSoAAACA4socqjZv3qwNGzbo4osvroh6cIoZW9Wz/A8AAAAorszL/9q2bat9+/ZVRC04A7PMBtKoAgAAACiuzDNVb7/9tv71r3/pn3/+0aWXXiqr1eq0v3nz5i4rDubCTBUAAABQXJlD1ZEjR7Rr1y6NGjXKsc1iscgwDFksFtntdpcWCPMIDPSTn5+PcnPzlJqW7e5yAAAAAFMoc6i69dZb1apVKy1YsIBGFV7GYrEoLMRfJ1KylJae4+5yAAAAAFMoc6jas2ePFi1apIYNG1ZEPTC50FOh6iShCgAAAJB0Ho0qunbtqs2bN1dELSjCfL3/8oWFBkgSM1UAAADAKWWeqerbt68mTJigrVu3qlmzZsUaVfTr189lxSGfmVZYhgb7S8oPVXl5efLxKXMuBwAAACqVMoeqf/3rX5Kkxx9/vNg+GlVUfmGh/o7bGZk2hYYEuLEaAAAAwP3KHKry8vIqog54iIKZKkk6mZZDqAIAAIDXY+0WyqTgnCpJOplOW3UAAACgVKHqgw8+KPUT7tu3T6tXrz7vgpDPMMzZqqLoTBXNKgAAAIBShqqZM2eqSZMmeu655/THH38U25+SkqJvvvlGN910ky677DIdO3bM5YV6MzM1qih6TtXJNEIVAAAAUKpzqlauXKlFixbptdde06RJkxQSEqKYmBgFBgbqxIkTSkpKUrVq1TRy5Ej99ttviomJqei64SahIUVmqjIIVQAAAECpG1X069dP/fr109GjR/Xjjz9qz549yszMVLVq1dSqVSu1atWK9tpeIKxIY4qTaZxTBQAAAJS5+1+1atU0YMCACigFnqDo8j9mqgAAAAC6/6GMTm+pDgAAAHg7QpVJmbT5n1NLdbr/AQAAAIQqj2AxUfs/p5kqrlMFAAAAEKpQNk7nVDFTBQAAABCqUDZFW6qfJFQBAAAAZe/+Z7fbNXfuXC1fvlyHDx9WXl6e0/7vvvvOZcXBfGipDgAAADgrc6i65557NHfuXF1zzTW69NJLTXW+T2VimLRTBRf/BQAAAJyVOVR98MEH+uijj9SnT5+KqOeMZs6cqZkzZ2r37t2SpKZNm2rKlCnq3bu3JCkrK0v33nuvPvjgA2VnZ6tXr156/fXXFRMTc0HrrAhmyq0hwVbHbVqqAwAAAOdxTpW/v78aNmxYEbWcVa1atfTMM89ow4YN+uWXX9S1a1f1799fv//+uyRpwoQJ+vLLL/Xxxx9r5cqVOnDggAYOHHjB66zsfHx8HMGKmSoAAADgPELVvffeq1deeeWCL0/r27ev+vTpo0aNGumiiy7SU089pdDQUK1bt04pKSmaPXu2XnzxRXXt2lWtW7fWnDlztGbNGq1bt+6C1ukNCq5VxTlVAAAAwHks//vxxx+1YsUKLV68WE2bNpXVanXa/9lnn7msuDOx2+36+OOPlZ6eroSEBG3YsEE2m03du3d3HNO4cWPVqVNHa9euVYcOHc74XNnZ2crOLgwHqampkiSbzSabzVZxb+Ic7PbCBiD2XLtbazldUED+j01Wdq6p6qpIBe/TW96vmTEW5sFYmAdjYR6MhXkwFubhyWNR2prLHKoiIyN13XXXlbkgV9i6dasSEhKUlZWl0NBQLVy4UJdccok2bdokf39/RUZGOh0fExOjpKSksz7n9OnTNW3atGLbly5dquDgYFeWXyZ//llY96bNmxRg7HZbLaez2bIkSWnpWfrmm2/cXM2FtWzZMneXgFMYC/NgLMyDsTAPxsI8GAvz8MSxyMjIKNVxZQ5Vc+bMKXMxrnLxxRdr06ZNSklJ0SeffKIRI0Zo5cqV5XrOSZMmaeLEiY77qampql27tnr27Knw8PDylnzetu5eLX15UJLUqmVL9bn6ErfVcrqo1w9of1KW7HmWC96wxF1sNpuWLVumHj16FJudxYXFWJgHY2EejIV5MBbmwViYhyePRcEqtnMpc6gqcOTIEW3fvl1SftiJjo4+36cqtaJNMlq3bq3169frlVde0Y033qicnBwlJyc7zVYdOnRIsbGxZ33OgIAABQQEFNtutVrdOui+vr6Ft/38TPUDGBSYX0tOjl2+vr7y8fGea0i7++cChRgL82AszIOxMA/GwjwYC/PwxLEobb1l/m04PT1dt956q+Li4tSpUyd16tRJNWrU0OjRo0s9PeYqeXl5ys7OVuvWrWW1WrV8+XLHvu3bt2vv3r1KSEi4oDV5gwD/wsCXnW13YyUAAACA+5U5VE2cOFErV67Ul19+qeTkZCUnJ+uLL77QypUrde+991ZEjZLyl+mtWrVKu3fv1tatWzVp0iR9//33GjZsmCIiIjR69GhNnDhRK1as0IYNGzRq1CglJCSctUkFzk9gQOEEZ3ZOrhsrAQAAANyvzMv/Pv30U33yySfq0qWLY1ufPn0UFBSkwYMHa+bMma6sz+Hw4cMaPny4Dh48qIiICDVv3lxLlixRjx49JEkvvfSSfHx8NGjQIKeL/8L1ioaqrGxCFQAAALxbmUNVRkaGYmJiim2vXr16hS7/mz179ln3BwYGasaMGZoxY0aF1XAhXejrgJVFgD+hCgAAAChQ5uV/CQkJmjp1qrKyshzbMjMzNW3aNM5fqiAWi7srcBYYWHT5H+dUAQAAwLuVeabqlVdeUa9evVSrVi21aNFCkrR582YFBgZqyZIlLi8Q5sPyPwAAAKBQmUPVpZdeqh07dmjevHn6888/JUlDhw7VsGHDFBQU5PICYT7O3f8IVQAAAPBu53WdquDgYI0ZM8bVtcBDMFMFAAAAFCpVqFq0aJF69+4tq9WqRYsWnfXYfv36uaQwb2fiPhWEKgAAAKCIUoWqAQMGKCkpSdWrV9eAAQPOeJzFYpHdTuMCV7PIXJ0qinb/o1EFAAAAvF2pQlVeXl6Jt+GdmKkCAAAACpW5pfp7772n7OzsYttzcnL03nvvuaQomFtAQGGjCkIVAAAAvF2ZQ9WoUaOUkpJSbPvJkyc1atQolxQFcys6U5WdQ6gCAACAdytzqDIMQ5YSrka7f/9+RUREuKQo5H+fzYrlfwAAAEChUrdUb9WqlSwWiywWi7p16yY/v8KH2u12JSYm6uqrr66QIr1dCRnWrZwaVWTTqAIAAADerdShqqDr36ZNm9SrVy+FhoY69vn7+6tevXoaNGiQywuE+TBTBQAAABQqdaiaOnWqJKlevXq68cYbFRgYWGFFwdwIVQAAAEChUoeqAiNGjKiIOuBBAvwLu//RqAIAAADersyhym6366WXXtJHH32kvXv3Kicnx2n/8ePHXVYczImZKgAAAKBQmbv/TZs2TS+++KJuvPFGpaSkaOLEiRo4cKB8fHz02GOPVUCJ3snEzf8UQKgCAAAAHMocqubNm6dZs2bp3nvvlZ+fn4YOHaq3335bU6ZM0bp16yqiRq9XUgt7d3K+ThXd/wAAAODdyhyqkpKS1KxZM0lSaGio40LA1157rb7++mvXVgdTclr+l8VMFQAAALxbmUNVrVq1dPDgQUlSgwYNtHTpUknS+vXrFRAQ4NrqYEpFG1Ww/A8AAADersyh6rrrrtPy5cslSePGjdPkyZPVqFEjDR8+XLfeeqvLC4T5OC//I1QBAADAu5W5+98zzzzjuH3jjTeqbt26WrNmjRo1aqS+ffu6tDhvZsi8nSro/gcAAAAUKlOostlsuv322zV58mTFx8dLkjp06KAOHTpUSHHIZ7I+FfJ3uk4VjSoAAADg3cq0/M9qterTTz+tqFrgIXx8fBzBipkqAAAAeLsyn1M1YMAAff755xVQCjxJwRJAQhUAAAC8XZnPqWrUqJEef/xxrV69Wq1bt1ZISIjT/rvvvttlxcG8CjoA0qgCAAAA3q7MoWr27NmKjIzUhg0btGHDBqd9FouFUOUihnn7VEgqMlPFdaoAAADg5cocqhITEyuiDpyFxWydKiQF+LP8DwAAAJDO45yqAjk5Odq+fbtyc/ml2hsVzFTR/Q8AAADersyhKiMjQ6NHj1ZwcLCaNm2qvXv3Ssq/EHDRa1ihcqNRBQAAAJCvzKFq0qRJ2rx5s77//nsFBgY6tnfv3l0ffvihS4uDeRWEqrw8Qzk0qwAAAIAXK/M5VZ9//rk+/PBDdejQwelcn6ZNm2rXrl0uLQ7mFRxkddzOzMqVv3+Zf5QAAACASqHMM1VHjhxR9erVi21PT083ZUMFT2WYvP1f0VCVnpHjxkoAAAAA9ypzqGrTpo2+/vprx/2CIPX2228rISHBdZXBwYxZNSS4MFRlZNrcWAkAAADgXmVes/X000+rd+/e2rZtm3Jzc/XKK69o27ZtWrNmjVauXFkRNcKEis5UZWQRqgAAAOC9yjxTdcUVV2jTpk3Kzc1Vs2bNtHTpUlWvXl1r165V69atK6JGmJBTqGKmCgAAAF7svLoLNGjQQLNmzXJ1LfAgwYGEKgAAAEAqZahKTU0t9ROGh4efdzEoZPI+FcxUAQAAAKeUKlRFRkaes7OfYRiyWCyy2+0uKQyFzNhVkVAFAAAA5CtVqFqxYkVF1wEPQ6gCAAAA8pUqVHXu3Lmi64CHCQn2d9xOzyBUAQAAwHuVufufJP3www+6+eabdfnll+uff/6RJP33v//Vjz/+6NLiYF60VAcAAADylTlUffrpp+rVq5eCgoK0ceNGZWdnS5JSUlL09NNPu7xAb2WYvFMFy/8AAACAfGUOVU8++aTeeOMNzZo1S1Zr4S/WHTt21MaNG11aHPKZr00FLdUBAACAAmUOVdu3b1enTp2KbY+IiFBycrIraoIHYKYKAAAAyFfmUBUbG6udO3cW2/7jjz+qfv36LikK5keoAgAAAPKVOVSNGTNG99xzj3766SdZLBYdOHBA8+bN03333ac77rijImqECRGqAAAAgHylaqle1EMPPaS8vDx169ZNGRkZ6tSpkwICAnTfffdp3LhxFVEjTIhQBQAAAOQrc6iyWCx65JFHdP/992vnzp1KS0vTJZdcotDQ0Iqoz2uZvPmfQoJpqQ4AAABI5xGqUlJSZLfbVbVqVV1yySWO7cePH5efn5/Cw8NdWiDyg6zZBBXp/peekePGSgAAAAD3KvM5VUOGDNEHH3xQbPtHH32kIUOGuKSokkyfPl1t27ZVWFiYqlevrgEDBmj79u1Ox2RlZWns2LGKiopSaGioBg0apEOHDlVYTd7M19dHAQG+klj+BwAAAO9W5lD1008/6aqrriq2vUuXLvrpp59cUlRJVq5cqbFjx2rdunVatmyZbDabevbsqfT0dMcxEyZM0JdffqmPP/5YK1eu1IEDBzRw4MAKq8nbFVyrilAFAAAAb1bm5X/Z2dnKzc0ttt1msykzM9MlRZXk22+/dbo/d+5cVa9eXRs2bFCnTp2UkpKi2bNna/78+erataskac6cOWrSpInWrVunDh06VFht3io4yKoTKVmEKgAAAHi1Moeqdu3a6a233tJrr73mtP2NN95Q69atXVbYuaSkpEiSqlatKknasGGDbDabunfv7jimcePGqlOnjtauXXvGUJWdna3s7GzH/dTUVEn5IdFmc19YyLXbi9zOdWstZxJUZKbKjPW5UsH7q+zv0xMwFubBWJgHY2EejIV5MBbm4cljUdqayxyqnnzySXXv3l2bN29Wt27dJEnLly/X+vXrtXTp0rI+3XnJy8vT+PHj1bFjR1166aWSpKSkJPn7+ysyMtLp2JiYGCUlJZ3xuaZPn65p06YV27506VIFBwe7tO6y2LXzgOP2xo0bZU/f4bZaziTXlj8zmZaerW+++cbN1VwYy5Ytc3cJOIWxMA/GwjwYC/NgLMyDsTAPTxyLjIyMUh1X5lDVsWNHrV27Vs8//7w++ugjBQUFqXnz5po9e7YaNWpU5kLPx9ixY/Xbb7/pxx9/LPdzTZo0SRMnTnTcT01NVe3atdWzZ0+3djJc98f30pL8JhutW7dWz04N3VbLmTw754h2/7NftlxDvXpdLV/fMp+i5zFsNpuWLVumHj16yGq1nvsBqDCMhXkwFubBWJgHY2EejIV5ePJYFKxiO5cyhypJatmypebNm3c+Dy23u+66S1999ZVWrVqlWrVqObbHxsYqJydHycnJTrNVhw4dUmxs7BmfLyAgQAEBAcW2W61Wtw66r09hQPHz9TXlD2BIsL/jdq5dCgw0X42u5u6fCxRiLMyDsTAPxsI8GAvzYCzMwxPHorT1lnlq4ZtvvtGSJUuKbV+yZIkWL15c1qcrNcMwdNddd2nhwoX67rvvFB8f77S/devWslqtWr58uWPb9u3btXfvXiUkJFRYXd4s2OlaVZ63RhYAAABwhTKHqoceekj2Ik0UChiGoYceesglRZVk7Nixev/99zV//nyFhYUpKSlJSUlJjo6DERERGj16tCZOnKgVK1Zow4YNGjVqlBISEuj8V0GCgwpDFR0AAQAA4K3KvPxvx44duuSSS4ptb9y4sXbu3OmSokoyc+ZMSfnXwypqzpw5GjlypCTppZdeko+PjwYNGqTs7Gz16tVLr7/+eoXVVJEMw90VnBuhCgAAADiPUBUREaG///5b9erVc9q+c+dOhYSEuKquYoxSpIzAwEDNmDFDM2bMqLA63MFisbi7hBIRqgAAAIDzWP7Xv39/jR8/Xrt27XJs27lzp+69917169fPpcXB3AhVAAAAwHmEqueee04hISFq3Lix4uPjFR8fryZNmigqKkrPP/98RdQIk3IKVVmEKgAAAHin81r+t2bNGi1btkybN292XKeqU6dOFVEfTCyEmSoAAADg/K5TZbFY1LNnT/Xs2VNS/vlOixcv1uzZs/XJJ5+4tEBvVZpzyNyN5X8AAADAeSz/KyoxMVGTJ09WnTp1dN111ykrK8tVdaEIk/apcApV6Rk5bqwEAAAAcJ8yz1RlZ2frk08+0ezZs/Xjjz/Kbrfr3//+t0aPHq3w8PCKqBEmxUwVAAAAUIaZqg0bNujOO+9UbGysXn75ZQ0YMED79u2Tj4+PevXqRaDyQoQqAAAAoAwzVe3bt9e4ceO0bt06XXzxxRVZEzwEoQoAAAAoQ6jq1q2bZs+ercOHD+uWW25Rr169THtR2srA/G0qaKkOAAAASGVY/rdkyRL9/vvvuvjii3XHHXcoLi5O99xzjyQRriqYWb+/IUH+jtvMVAEAAMBblan7X+3atTVlyhQlJibqv//9r44cOSI/Pz/1799fDz/8sDZu3FhRdcKEWP4HAAAAlKOleo8ePTR//nwdOHBA48aN0+LFi9W2bVtX1gaTI1QBAAAA5bxOlSRVqVJF48aN06+//qr169e7oiZ4COfrVBGqAAAA4J3KHaqKuuyyy1z5dDA5ZqoAAAAAF4cquI5hmL//n9XqKz+//B8huv8BAADAWxGqPIBJm/9JKpytYqYKAAAA3opQhXIhVAEAAMDbEapQLiGEKgAAAHg5v9Ic1KpVq1JfgJZrVXkXZqoAAADg7UoVqgYMGFDBZeB0HtCnQpJzqDIMo9ThGwAAAKgsShWqpk6dWtF14CzMHFSKtlXPzLIpOMjfjdUAAAAAFx7nVKFcuFYVAAAAvF2pZqqKstvteumll/TRRx9p7969ysnJcdp//PhxlxUH8yNUAQAAwNuVeaZq2rRpevHFF3XjjTcqJSVFEydO1MCBA+Xj46PHHnusAkqEmQUHEqoAAADg3cocqubNm6dZs2bp3nvvlZ+fn4YOHaq3335bU6ZM0bp16yqiRq9keEinipDgwnOoCFUAAADwRmUOVUlJSWrWrJkkKTQ0VCkpKZKka6+9Vl9//bVrq4MkybxtKlj+BwAAAJQ5VNWqVUsHDx6UJDVo0EBLly6VJK1fv14BAQGurQ6mR6gCAACAtytzqLruuuu0fPlySdK4ceM0efJkNWrUSMOHD9ett97q8gJhboQqAAAAeLsyd/975plnHLdvvPFG1a1bV2vWrFGjRo3Ut29flxYH8yNUAQAAwNuVOVSdrkOHDurQoYMraoEHKhqq0glVAAAA8EJlXv43ffp0vfPOO8W2v/POO3r22WddUhQkD2n+R0t1AAAAeL0yh6o333xTjRs3Lra9adOmeuONN1xSFJxZLObt/xcSTKgCAACAdzuvlupxcXHFtkdHRzu6AsJ7cE4VAAAAvF2ZQ1Xt2rW1evXqYttXr16tGjVquKQoeA5CFQAAALxdmRtVjBkzRuPHj5fNZlPXrl0lScuXL9cDDzyge++91+UFwtwIVQAAAPB2ZQ5V999/v44dO6Y777xTOTk5kqTAwEA9+OCDmjRpkssL9FaGh3SqcApVWYQqAAAAeJ8yhyqLxaJnn31WkydP1h9//KGgoCA1atRIAQEBFVEfJJm4TwUzVQAAAPB6532dqtDQULVt29aVtcADFW2pnp6R48ZKAAAAAPcoVagaOHCg5s6dq/DwcA0cOPCsx3722WcuKQyegZkqAAAAeLtShaqIiAjHtZLCw8NNfd0kXFgBAX7y8bEoL88gVAEAAMArlSpUzZkzx3F77ty5FVULivCQPhWyWCwKDrIqLT2HUAUAAACvVObrVHXt2lXJycnFtqempjparMO1zD4zWLAEkO5/AAAA8EZlDlXff/+9o5V6UVlZWfrhhx9cUhQ8iyNUMVMFAAAAL1Tq7n9btmxx3N62bZuSkpIc9+12u7799lvVrFnTtdXBIxCqAAAA4M1KHapatmwpi8Uii8VS4jK/oKAgvfbaay4tDp6hoK16RqZNhmGYfrkiAAAA4EqlDlWJiYkyDEP169fXzz//rOjoaMc+f39/Va9eXb6+vhVSJMytYKbKbjeUk2NXQMB5X/4MAAAA8Dil/u23bt26stlsGjFihKKiolS3bt2KrMvrGZ7S/k9SSLDztaoIVQAAAPAmZWpUYbVatXDhwoqqBWdg9tV0XAAYAAAA3qzM3f/69++vzz//vAJKgadyClW0VQcAAICXKfM6rUaNGunxxx/X6tWr1bp1a4WEhDjtv/vuu11W3OlWrVql559/Xhs2bNDBgwe1cOFCDRgwwLHfMAxNnTpVs2bNUnJysjp27KiZM2eqUaNGFVYTmKkCAACAdytzqJo9e7YiIyO1YcMGbdiwwWmfxWKp0FCVnp6uFi1a6NZbb9XAgQOL7X/uuef06quv6t1331V8fLwmT56sXr16adu2bQoMDKywurxdQfc/iVAFAAAA71PmUJWYmFgRdZRK79691bt37xL3GYahl19+WY8++qj69+8vSXrvvfcUExOjzz//XEOGDLmQpZabB/WpYKYKAAAAXu2827Tl5OQoMTFRDRo0kJ+f+7u9JSYmKikpSd27d3dsi4iIUPv27bV27dozhqrs7GxlZ2c77qempkqSbDabbDb3BYS8vDzHbbvd7tZaziXAv7CVfmpapqlrPV8F76kyvjdPw1iYB2NhHoyFeTAW5sFYmIcnj0Vpay5zGsrIyNC4ceP07rvvSpL++usv1a9fX+PGjVPNmjX10EMPlfUpXSIpKUmSFBMT47Q9JibGsa8k06dP17Rp04ptX7p0qYKDg11bZBkk7t7vuP3zzz8r5cjvbqvlXHbvPuy4vXr1evlk73RjNRVr2bJl7i4BpzAW5sFYmAdjYR6MhXkwFubhiWORkZFRquPKHKomTZqkzZs36/vvv9fVV1/t2N69e3c99thjbgtV52vSpEmaOHGi435qaqpq166tnj17Kjw83G11fbdhmaQjkqR27dqpY1vzXhfsYOqveufTfyRJFzduqj59Wrq3oApgs9m0bNky9ejRQ1ar9dwPQIVhLMyDsTAPxsI8GAvzYCzMw5PHomAV27mUOVR9/vnn+vDDD9WhQwdZilxAqWnTptq1a1dZn85lYmNjJUmHDh1SXFycY/uhQ4fUsmXLMz4uICBAAQEBxbZbrVa3DrqPT2G3ez8/P1P/AIaFFjYBybblmbrW8nL3zwUKMRbmwViYB2NhHoyFeTAW5uGJY1Haest8naojR46oevXqxbanp6c7hawLLT4+XrGxsVq+fLljW2pqqn766SclJCS4ra7zZchzOlXQ/Q8AAADerMyhqk2bNvr6668d9wuC1Ntvv13h4SUtLU2bNm3Spk2bJOU3p9i0aZP27t0ri8Wi8ePH68knn9SiRYu0detWDR8+XDVq1HC6lhVcj+5/AAAA8GZlXv739NNPq3fv3tq2bZtyc3P1yiuvaNu2bVqzZo1WrlxZETU6/PLLL7rqqqsc9wvOhRoxYoTmzp2rBx54QOnp6brtttuUnJysK664Qt9++63HX6PKjROApUKoAgAAgDcr9UzVb7/9Jkm64oortGnTJuXm5qpZs2ZaunSpqlevrrVr16p169YVVqgkdenSRYZhFPuaO3eupPxZs8cff1xJSUnKysrS//73P1100UUVWhMIVQAAAPBupZ6pat68udq2bav/+7//05AhQzRr1qyKrAsehFAFAAAAb1bqmaqVK1eqadOmuvfeexUXF6eRI0fqhx9+qMja4CFCggtDVXoGoQoAAADepdSh6sorr9Q777yjgwcP6rXXXlNiYqI6d+6siy66SM8+++xZL7CLsjM8p/mf80xVFqEKAAAA3qXM3f9CQkI0atQorVy5Un/99ZduuOEGzZgxQ3Xq1FG/fv0qokavR6MKAAAAwLzKHKqKatiwoR5++GE9+uijCgsLc2q1Du8RGFB4al4mM1UAAADwMmVuqV5g1apVeuedd/Tpp5/Kx8dHgwcP1ujRo11ZGzyEj4+PfH0tstsN2Wx57i4HAAAAuKDKFKoOHDiguXPnau7cudq5c6cuv/xyvfrqqxo8eLBCQkIqqkZ4AD8/H9ntdtly7e4uBQAAALigSh2qevfurf/973+qVq2ahg8frltvvVUXX3xxRdbm1QxP6lQhyernq+xsu2y5zFQBAADAu5Q6VFmtVn3yySe69tpr5evrW5E14TQWmbxThSSrX/7peTYbM1UAAADwLqUOVYsWLarIOuDhrNb8oJ1rZ6YKAAAA3qVc3f+AAoUzVYQqAAAAeBdCFVyiYKaKRhUAAADwNoQquAQzVQAAAPBWhCqT8rDmf/IrCFXMVAEAAMDLEKo8gMX8zf9k9Tu1/I+ZKgAAAHgZQhVcwspMFQAAALwUoQouUdCowm43PO7CxQAAAEB5EKrgEgUzVZKUm8sSQAAAAHgPQpVJedpsT8FMlcQSQAAAAHgXQpUHsHhApwo/38IfJZpVAAAAwJsQquASVmuRUMVMFQAAALwIoQouUdBSXWKmCgAAAN6FUAWXYKYKAAAA3opQZVIe1qeCmSoAAAB4LUKVB/CAPhXOLdXthCoAAAB4D0IVXMKppbqN5X8AAADwHoQquIRTS3Uu/gsAAAAvQqiCSzg1qmCmCgAAAF6EUAWXcGpUwUwVAAAAvAihyqQMD2v/R0t1AAAAeCtClSfwgPZ/tFQHAACAtyJUwSWYqQIAAIC3IlTBJYp2/8vlnCoAAAB4EUIVXMLpOlWEKgAAAHgRQpVJeVifCln9aKkOAAAA70So8gAe0KeCluoAAADwWoQquAQX/wUAAIC3IlTBJZipAgAAgLciVMEl/PxoqQ4AAADvRKgyKUOe1amiaKMKWqoDAADAmxCqPIDFAzpV0FIdAAAA3opQBZfwLxKqcnJY/gcAAADvQaiCSwQG+DluZ2XnurESAAAA4MIiVMElioaqzCybGysBAAAALixCFVwiKJCZKgAAAHgnQpVJGZ7V/O+0mSpCFQAAALwHocoDmL/3nxQUaHXcZqYKAAAA3oRQBZcouvyPc6oAAADgTQhVcAm6/wEAAMBbVcpQNWPGDNWrV0+BgYFq3769fv75Z3eXVOkVXf7HOVUAAADwJpUuVH344YeaOHGipk6dqo0bN6pFixbq1auXDh8+7O7SysTwsE4VAQGFF/9l+R8AAAC8id+5D/EsL774osaMGaNRo0ZJkt544w19/fXXeuedd/TQQw+5ubrSmzV/o+O2r6/5s6+Pj48CAnyVnW1n+R8Aj5abm//3WHaOXdnZucqx2fNv5+QqJyf/do4tf5/j9ql9ufY82e2G7Hl5ys3Nv52/La9wX5Hbubl5sueddlxunux5JR9XdJ/dbsgwDBmGlJeXp+MnTuiZdw5Lsigvr3CfYRgypCLHlmGfIRkqvJ+/XyU+/kz7Tnem/zQsabMpji3xXZz9eY08Q5YJm11XQwkbPez/Xt3sV3cXAIfSj8WAXo218O0hFViLa1WqUJWTk6MNGzZo0qRJjm0+Pj7q3r271q5dW+JjsrOzlZ2d7bifmpoqSbLZbLLZ3DfjckXb2vpx/T5JUlCAj1trKa1Afz9lZ9uVkene711FKHg/le19eSLGwjzMMBZ5eYZS07KVcjJbyalZSknNUnJqlpJTs5V6alt6hk2ZWTZlZOZ/pWfalJlpU0aWLX/fqdsZmblKz8yRzZbntvdTfunuLgAF7KQeoDzseXmm+Le+tDVUqlB19OhR2e12xcTEOG2PiYnRn3/+WeJjpk+frmnTphXbvnTpUgUHB1dInaUREZylqEirrmxdRX/+/pP+/N1tpZSaj8UuSUpOPqlvvvnGzdVUjGXLlrm7BJzCWJiHK8ciK9uuE6m5OpFqU3KqTSdScx1/pqblKj3TrvTMXKVn5ik9067MLDv/Y38GFsupS3Kc+tNiseRvsxTstxTuP/0Yx/bCY3yKPs7i/BoWH0vx1yry3CXWd6aiS3vsmQ8/o5KOP/NznKGWsryfM+w48/sp22ue8SU94VoswDn4Gsmm+H0yIyOjVMdVqlB1PiZNmqSJEyc67qempqp27drq2bOnwsPD3VZXnz75yXjZsmXq0aOHrFbruR/kZpHPJupEarLkY1WfPn3cXY5LedpYVGaMhXmUZSwMw9Cho+natfuEdu05rgOH0nToaJoOHk7ToSPpOnQkTUlH05WWnnOBqs8XGOCn4CCrgoP8FBRoVXCQVSFBVgUG+CnA31dWf18F+Off9rf6KuDUfavjtq/8C/60+srP10c+vj7y8/WRr6/F8advsW0+8vWxyM+vcFvRx/n6+OTvKzjG59RzFLnt62NxBJzc3Fz9b/n/1LNHD/n7W8/4yzkqHn9HmQdjYR6ePBYFq9jOpVKFqmrVqsnX11eHDh1y2n7o0CHFxsaW+JiAgAAFBAQU2261Wk0z6Gaq5WwCT12rKjMr1yPqPR+eMhbegLEwj4KxMAxDBw+d1I7E49q557h27s7/2pF4TDt3H1d6hmuWcfj7+6pKRKAiwwMVEZb/Z2R4oCIjAhURFlB4PzxQEeGBCg32PxWcrAoJtjpuBwVaPeKc1dKw2Wzy9bEoIMCfz4VJ8HeUeTAW5uGJY1HaeitVqPL391fr1q21fPlyDRgwQFL+ybvLly/XXXfd5d7ivEBBW3UaVQCVW26uXX/uPKr1W/7Rl4v/0ZxFn+jvvSe0a88JZWSeX3CKjAhUbHSo81f1UMVVL7wdXTVEVSICFRjoWf8gAwAqv0oVqiRp4sSJGjFihNq0aaN27drp5ZdfVnp6uqMbICpOwQWAc3PzlJtrl5+f7zkeAcDsMjNt2vrnIf36e5J+/f2gfv0tSVv+OHTaf56c/ZIVfn4+iq8dqYb1qjq+6tSIOBWawhRTLYSgBADwaJUuVN144406cuSIpkyZoqSkJLVs2VLffvttseYVcL2gwMIfp6zsXIUSqgCPc/homn74ea9++HmPfvh5rzZvS5K9FF3MrFYf1a9TRY3io9SwblWnAFW3VgT/yQIAqNQqXaiSpLvuuovlfm5QMFMl5Z9XFRpS/Fw1AOZhGIb27E/WDz/v1aqf9uiHn/do+65j53xco/iqatU0Ts2bVFdO+l7dPORq1a8TVWnOTwIAoKwqZaiCewQVWb6TmeX+6woAKC4ry6bv1+7WV8v/0jcrdihxb/IZj7VYpKYXVVfrZnG6rFmcWjWNU4tLYhQeFigpvznCN98kq16tSAIVAMCrEargMqcv/wNgDvsPpujr5Tv09fK/tHx14hmbSfj5+ahN8xrq1L6urmxXRx3b1FGVyKALXC0AAJ6HUAWXOX35HwD3+WPHES34YqsWLduuzdsOlXiM1eqjK9rWUecO9dSpfV21b1VTwUH+F7hSAAA8H6EKLlN0+R8zVcCFt/9gij744jfN+3yrNv2eVOIxMdEh6nNVI13b/SJ1v6K+YykfAAA4f4QquIzzTBXnVAEXwvETGfp08R+at3CLVv20R0YJjfraNK+ha7tfpGu6NtJlzeLk48P5TwAAuBKhCi4THFQ4U5WeQagCKkpeXp6WrNylt+Zt0Nff/SWbLa/YMe1a1tRNA5rphmsuUY3YcDdUCQCA9yBUwWXCQwtbqJ9My3ZjJUDldPR4uuZ8tElv/PcX/b33RLH9F9WP0rDrmmlo/2ZqFB/lhgoBAPBOhCq4TFho4QnuJ9Nz3FgJUHkYhqF1G/dr5n/X66Ovfld2tt1pf1z1UA3t30w3DWimy5rFyWKxuKlSAAC8F6EKLhNW5GK/qSeZqQLKIzPTpvcXbtHr760vselEz04NdOfwtrqmWyP5+fm6oUIAAFCAUAWXCQ8rsvwvnVAFnI9jJzI0492f9dqcn3X0eIbTvqqRQRo1uKVuv7kNy/sAADARQhVcJiykyPK/NJb/AWWRuPeEXpy1Vu98+Guxi/O2a1lTdw5vq8HXNlVQkYYwAADAHAhVcJmwIo0qUmlUAZTK1j8O6en//KCPvvpdeXmF/dB9fS0afG1TTRyToDYtarqxQgAAcC6EKrgM3f+A0vv1t4N64pWVWvjtn07bg4Os+r+hl2nC/3VQvdpV3FQdAAAoC0IVXIbuf8C5/fTrfj3xykp9vXyH0/boqGDdPaq97hjeVlFVgt1UHQAAOB+EKrgM3f+AM/v51/2a8sIKLVm5y2l7XPVQPXjnFRpz02UKDvI/w6MBAICZEargMgEBfvL391VOjp3uf8Apv/52UFNeWKGv/veX0/baNcL10J1X6NYbWykwkOYTAAB4MkIVXCosxF/HcjLp/gev99ufhzT1xe/12eI/nLbXqx2ph++6UiOubyF/f/4KBgCgMuBfdLhUeFiAjp3IpPsfvNb2XUf12Ivf68Mvf5NR2MxPteLC9ejdnTRqcEvCFAAAlQz/ssOlCs6rYvkfvM2u3cf1+Csr9f5nW5xao8dVD9XD467UmKGtFRDAX7kAAFRG/AsPlyroAJidbVdOTi7/I49Kb8/+ZD3xykrN/XiT7PbCMBUdFayH7rxCd9zSlgv2AgBQyfEbL1zK6VpV6TmKIlShktp3IEVPv/aDZn+4UTZbnmN71cgg3f+vy3XXyHYKLdIREwAAVF78xguXKtpW/WRaNtfbQaVz8NBJPfHKSr39gXOYiggP0MQxCRo/uoPCwwLdWCEAALjQCFVwKacLANMBEJVMXl6erhz0jnbtOeHYFhrir3tuba97b7tcVSKD3FgdAABwF0IVXKro8j86AKKyOZGS5QhUwUFWjR/dQRNvS2BGFgAAL0eogkuFhTov/wMqE5vN7rjd48r6eurBbm6sBgAAmIWPuwtA5RIWUmT5XzrL/1C52HILz6GyWn3dWAkAADATQhVcKjyM5X+ovIrOVFn9+OsTAADk47cCuNTp3f+AyqToTJUfoQoAAJzCbwVwKbr/oTLLLbr8z4/lfwAAIB+hCi7lfPFfZqpQudhyiyz/s/LXJwAAyMdvBXCpMFqqoxIrerFfZqoAAEABQhVcyqn7H8v/UMk4zVRxThUAADiF3wrgUnT/Q2XmNFNFS3UAAHAKoQouVfScqtSThCpULkVnqvx8+esTAADk47cCuFRgoFX+/vn/g59yMsvN1QCu5dT9j0YVAADgFH4rgMtFnFoCmMJMFSoZGy3VAQBACQhVcLnI8EBJUnIqM1WoXGipDgAASsJvBXC5iLD8UJV6MluGYbi5GsB1aKkOAABKQqiCy0WE5y//y8szlJZOW3VUHsxUAQCAkvBbAVyuYPmfRLMKVC5FZ6ro/gcAAArwWwFcrmD5nyQlpxCqUHnk2rlOFQAAKI5QBZcrOlNFswpUJjZbkeV/fvz1CQAA8vFbAVwuqkqQ4/axE5lurARwLVqqAwCAkhCq4HLVqgY7bh89keHGSgDXcpqpolEFAAA4hd8K4HJOoeo4oQqVBzNVAACgJIQquFy1KoQqVE6padmO236cUwUAAE7xc3cBqHyKzlQdOZbuxkqA85eba9em35P0/drdWvnTHv2y5YCSDqc59tOoAgAAFCBUweWio0Ict48wUwUPkrj3hJau2qUlK3dq+epEpZ7MPuOxdWpGXMDKAACAmXlMqHrqqaf09ddfa9OmTfL391dycnKxY/bu3as77rhDK1asUGhoqEaMGKHp06fLz89j3malUDUySH5+PsrNzdM/SanuLgcoUVaWTb9tP6yfN/2j9ZsPaPUve7Uj8fgZj68aGaQmjaopumqIrunWSI0bRl/AagEAgJl5TNrIycnRDTfcoISEBM2ePbvYfrvdrmuuuUaxsbFas2aNDh48qOHDh8tqterpp592Q8Xey9fXR3VrRmjXnhPateeEDMOQxWJxd1kwIcMwZLfnKTvHrpwcu7JzcpVjszvu59/OPbUv/356RrZ+/uWEjmZuUV6eiu3Pzs5/jqLPU/R5T6RkKnFvsg4cOnnW2qKqBKlrx3h16VBPXRLqqUmjaH6OAQBAiTwmVE2bNk2SNHfu3BL3L126VNu2bdP//vc/xcTEqGXLlnriiSf04IMP6rHHHpO/v/8FrBYN6lbVrj0nlJaeo6PHM5yWBMKccnJylZaeo/RMm9IzcpSeYTt1P/92ekaOsrJzlZ1jP/VnrrKycotvyy6yLauEbaduF4Qdwzjfine78N3nN57o0KqWenVuoF6dG+qyZnHy9eW8KQAAcG4eE6rOZe3atWrWrJliYmIc23r16qU77rhDv//+u1q1alXi47Kzs5WdXXjeRGpq/nI1m80mm81WsUWfQ8Hru7uO8xFfu/B8k+27jigy3LNDrRnHIjc3T6lp2Uo5ma2Uk1lKPZntuJ+aWrA9W2np2aeCUmFYKhqU8u/blFukXXhlVz0qRPF1ItWwXlW1bhanNs3j1OKSGAUFWh3H5OXZlZdnP8uzwIyfC2/FWJgHY2EejIV5ePJYlLbmShOqkpKSnAKVJMf9pKSkMz5u+vTpjlmwopYuXarg4OASHnHhLVu2zN0llNnJlMLv+eKlq3TsYOU4qd/VY5FrN5SWkauT6XalpefqZMapP9Pt+dtP3U/LsCsjy66MTLsysvKUkWlXVo5nhCCLRbL6WeRv9ZHVzyJrwZ9+Fln9fOTna5Hfqft+p+7n3y7cX9r7+bd9Cp+vhPuBAb4K8C86A3VEx5OOaMWZ/5rAOXji31GVFWNhHoyFeTAW5uGJY5GRUbqma24NVQ899JCeffbZsx7zxx9/qHHjxhVWw6RJkzRx4kTH/dTUVNWuXVs9e/ZUeHh4hb1uadhsNi1btkw9evSQ1Wo99wNMZEviaumrg5KkNm1aq0+3i9xcUfmUZiwMw9DJtBwdPpauI8cydPhYuo4ezyi8fzRdx05k6nhKpk4kZ+pYcqZOpuVc4HeSz8/PR6HB/goJtio4yKqQYGuR+/6O+8HBVoUEWRUS7K+QIKuCAv3k7+93Kpj4KTAg/yvA31cBp/4sui0wwE9+fj4uPRfJkz8XlQ1jYR6MhXkwFubBWJiHJ49FwSq2c3FrqLr33ns1cuTIsx5Tv379Uj1XbGysfv75Z6dthw4dcuw7k4CAAAUEBBTbbrVaTTPoZqqltIqei+Ln6+dx9RfID0rZ2vNPirb+dVLJOdt15FiGDh1N1+Fj6Tp86s8jx/L/zM6u2OVioSH+iggLUER4YP6fYYGO++GhAcX3hQcoLCRAoSH5QSnkVGDy9/f8SWpP/FxUVoyFeTAW5sFYmAdjYR6eOBalrdetv1lFR0crOto1bYkTEhL01FNP6fDhw6pevbqk/CnG8PBwXXLJJS55DZwf4/w7EVSo9Iwc7TuQooOH03Tg0EkdPHRSB059ObYdPqn0jKJraXeW+3V9fS2qGhmkqpFBiqoS7LhdNSJIUVWCCu8X2R8ZHqjwsAAaJwAAAJiQx/x39d69e3X8+HHt3btXdrtdmzZtkiQ1bNhQoaGh6tmzpy655BLdcssteu6555SUlKRHH31UY8eOLXEmChXL3a2n8/LylHQ4TXsPpGjvP6e+Tt3ec+r+8eRMl7yWr69F0VEhqh4VouioYFWPClH1aiGOP6OrFt6vVjVY4WEBbv/+AAAAwHU8JlRNmTJF7777ruN+QTe/FStWqEuXLvL19dVXX32lO+64QwkJCQoJCdGIESP0+OOPu6tkVKDcXLv2HUjVrj3Hlbgv+VRYSnaEp/0HU2Wzla+RQ0R4gOKqh6lGTJhio0OUkXZYV3RooVpxEYqNDs0PStVCVCUiUD4+zCABAAB4K48JVXPnzj3jNaoK1K1bV998882FKQgVLiMzR3+fuoDwrj3Hnf7cvT/5vFuA+/n5qFZcuOrUiFDtGuGqEZMfnAoCVI2YMMXFhCo4qLANvM1m0zfffKM+fdp53FpgAAAAVCyPCVXwXGc7pSory6Ydicf1566j2r7rqHbuLgxPBw+nndfrVYkIVJ2aEapTIyL/zyK369aMVGz1UM5NAgAAgMsQqlAhip4yZBiGDh9N0587j+rPXUcL/9x1VLv3JZ81dJUkNMRfDepWUYO6VdWgbhXVr1NF9WpFqk7NCNWuEaGwUM6hAwAAwIVDqEKFu27Mh2V+TPVqIU7BqWG9qo7b0VEhNHoAAACAaRCqUCFKs7wuLNRfF9evpsYNq6lxg2q6uEGUGsVHqX6dKsw2AQAAwGMQqlAhru7cUE++ukqpJ7NVp2aEIzQ1blAYouJiwphxAgAAgMcjVKFCNGsSoyOb7pctN08hwf7nfgAAAADgoQhVqDD+/n7yJ08BAACgkqOvNAAAAACUA6EKAAAAAMqBUAUAAAAA5UCoAgAAAIByIFQBAAAAQDkQqgAAAACgHAhVAAAAAFAOhCoAAAAAKAdCFQAAAACUA6EKAAAAAMqBUAUAAAAA5UCoAgAAAIByIFQBAAAAQDkQqgAAAACgHAhVAAAAAFAOhCoAAAAAKAdCFQAAAACUg5+7CzAbwzAkSampqW6uRLLZbMrIyFBqaqqsVqu7y/FqjIV5MBbmwViYB2NhHoyFeTAW5uHJY1GQCQoywpkQqk5z8uRJSVLt2rXdXAkAAAAAMzh58qQiIiLOuN9inCt2eZm8vDwdOHBAYWFhslgsbq0lNTVVtWvX1r59+xQeHu7WWrwdY2EejIV5MBbmwViYB2NhHoyFeXjyWBiGoZMnT6pGjRry8TnzmVPMVJ3Gx8dHtWrVcncZTsLDwz3uB7CyYizMg7EwD8bCPBgL82AszIOxMA9PHYuzzVAVoFEFAAAAAJQDoQoAAAAAyoFQZWIBAQGaOnWqAgIC3F2K12MszIOxMA/GwjwYC/NgLMyDsTAPbxgLGlUAAAAAQDkwUwUAAAAA5UCoAgAAAIByIFQBAAAAQDkQqgAAAACgHAhVJjVjxgzVq1dPgYGBat++vX7++Wd3l+SVHnvsMVksFqevxo0bu7ssr7Bq1Sr17dtXNWrUkMVi0eeff+603zAMTZkyRXFxcQoKClL37t21Y8cO9xRbyZ1rLEaOHFnsc3L11Ve7p9hKbPr06Wrbtq3CwsJUvXp1DRgwQNu3b3c6JisrS2PHjlVUVJRCQ0M1aNAgHTp0yE0VV26lGY8uXboU+2z861//clPFldfMmTPVvHlzx4VlExIStHjxYsd+PhcXzrnGojJ/JghVJvThhx9q4sSJmjp1qjZu3KgWLVqoV69eOnz4sLtL80pNmzbVwYMHHV8//viju0vyCunp6WrRooVmzJhR4v7nnntOr776qt544w399NNPCgkJUa9evZSVlXWBK638zjUWknT11Vc7fU4WLFhwASv0DitXrtTYsWO1bt06LVu2TDabTT179lR6errjmAkTJujLL7/Uxx9/rJUrV+rAgQMaOHCgG6uuvEozHpI0ZswYp8/Gc88956aKK69atWrpmWee0YYNG/TLL7+oa9eu6t+/v37//XdJfC4upHONhVSJPxMGTKddu3bG2LFjHfftdrtRo0YNY/r06W6syjtNnTrVaNGihbvL8HqSjIULFzru5+XlGbGxscbzzz/v2JacnGwEBAQYCxYscEOF3uP0sTAMwxgxYoTRv39/t9TjzQ4fPmxIMlauXGkYRv5nwGq1Gh9//LHjmD/++MOQZKxdu9ZdZXqN08fDMAyjc+fOxj333OO+orxYlSpVjLfffpvPhQkUjIVhVO7PBDNVJpOTk6MNGzaoe/fujm0+Pj7q3r271q5d68bKvNeOHTtUo0YN1a9fX8OGDdPevXvdXZLXS0xMVFJSktPnJCIiQu3bt+dz4ibff/+9qlevrosvvlh33HGHjh075u6SKr2UlBRJUtWqVSVJGzZskM1mc/pcNG7cWHXq1OFzcQGcPh4F5s2bp2rVqunSSy/VpEmTlJGR4Y7yvIbdbtcHH3yg9PR0JSQk8Llwo9PHokBl/Uz4ubsAODt69KjsdrtiYmKctsfExOjPP/90U1Xeq3379po7d64uvvhiHTx4UNOmTdOVV16p3377TWFhYe4uz2slJSVJUomfk4J9uHCuvvpqDRw4UPHx8dq1a5cefvhh9e7dW2vXrpWvr6+7y6uU8vLyNH78eHXs2FGXXnqppPzPhb+/vyIjI52O5XNR8UoaD0m66aabVLduXdWoUUNbtmzRgw8+qO3bt+uzzz5zY7WV09atW5WQkKCsrCyFhoZq4cKFuuSSS7Rp0yY+FxfYmcZCqtyfCUIVcBa9e/d23G7evLnat2+vunXr6qOPPtLo0aPdWBlgHkOGDHHcbtasmZo3b64GDRro+++/V7du3dxYWeU1duxY/fbbb5zjaRJnGo/bbrvNcbtZs2aKi4tTt27dtGvXLjVo0OBCl1mpXXzxxdq0aZNSUlL0ySefaMSIEVq5cqW7y/JKZxqLSy65pFJ/Jlj+ZzLVqlWTr69vsa40hw4dUmxsrJuqQoHIyEhddNFF2rlzp7tL8WoFnwU+J+ZUv359VatWjc9JBbnrrrv01VdfacWKFapVq5Zje2xsrHJycpScnOx0PJ+LinWm8ShJ+/btJYnPRgXw9/dXw4YN1bp1a02fPl0tWrTQK6+8wufCDc40FiWpTJ8JQpXJ+Pv7q3Xr1lq+fLljW15enpYvX+60HhXukZaWpl27dikuLs7dpXi1+Ph4xcbGOn1OUlNT9dNPP/E5MYH9+/fr2LFjfE5czDAM3XXXXVq4cKG+++47xcfHO+1v3bq1rFar0+di+/bt2rt3L5+LCnCu8SjJpk2bJInPxgWQl5en7OxsPhcmUDAWJalMnwmW/5nQxIkTNWLECLVp00bt2rXTyy+/rPT0dI0aNcrdpXmd++67T3379lXdunV14MABTZ06Vb6+vho6dKi7S6v00tLSnP7nKjExUZs2bVLVqlVVp04djR8/Xk8++aQaNWqk+Ph4TZ48WTVq1NCAAQPcV3QldbaxqFq1qqZNm6ZBgwYpNjZWu3bt0gMPPKCGDRuqV69ebqy68hk7dqzmz5+vL774QmFhYY7zQSIiIhQUFKSIiAiNHj1aEydOVNWqVRUeHq5x48YpISFBHTp0cHP1lc+5xmPXrl2aP3+++vTpo6ioKG3ZskUTJkxQp06d1Lx5czdXX7lMmjRJvXv3Vp06dXTy5EnNnz9f33//vZYsWcLn4gI721hU+s+Eu9sPomSvvfaaUadOHcPf399o166dsW7dOneX5JVuvPFGIy4uzvD39zdq1qxp3HjjjcbOnTvdXZZXWLFihSGp2NeIESMMw8hvqz558mQjJibGCAgIMLp162Zs377dvUVXUmcbi4yMDKNnz55GdHS0YbVajbp16xpjxowxkpKS3F12pVPSGEgy5syZ4zgmMzPTuPPOO40qVaoYwcHBxnXXXWccPHjQfUVXYucaj7179xqdOnUyqlatagQEBBgNGzY07r//fiMlJcW9hVdCt956q1G3bl3D39/fiI6ONrp162YsXbrUsZ/PxYVztrGo7J8Ji2EYxoUMcQAAAABQmXBOFQAAAACUA6EKAAAAAMqBUAUAAAAA5UCoAgAAAIByIFQBAAAAQDkQqgAAAACgHAhVAAAAAFAOhCoAAAAAKAdCFQCg0hg5cqQGDBjgtte/5ZZb9PTTT5fq2CFDhuiFF16o4IoAABeCxTAMw91FAABwLhaL5az7p06dqgkTJsgwDEVGRl6YoorYvHmzunbtqj179ig0NPScx//222/q1KmTEhMTFRERcQEqBABUFEIVAMAjJCUlOW5/+OGHmjJlirZv3+7YFhoaWqowU1H+7//+T35+fnrjjTdK/Zi2bdtq5MiRGjt2bAVWBgCoaCz/AwB4hNjYWMdXRESELBaL07bQ0NBiy/+6dOmicePGafz48apSpYpiYmI0a9Yspaena9SoUQoLC1PDhg21ePFip9f67bff1Lt3b4WGhiomJka33HKLjh49esba7Ha7PvnkE/Xt29dp++uvv65GjRopMDBQMTExuv7665329+3bVx988EH5vzkAALciVAEAKrV3331X1apV088//6xx48bpjjvu0A033KDLL79cGzduVM+ePXXLLbcoIyNDkpScnKyuXbuqVatW+uWXX/Ttt9/q0KFDGjx48BlfY8uWLUpJSVGbNm0c23755Rfdfffdevzxx7V9+3Z9++236tSpk9Pj2rVrp59//lnZ2dkV8+YBABcEoQoAUKm1aNFCjz76qBo1aqRJkyYpMDBQ1apV05gxY9SoUSNNmTJFx44d05YtWyRJ//nPf9SqVSs9/fTTaty4sVq1aqV33nlHK1as0F9//VXia+zZs0e+vr6qXr26Y9vevXsVEhKia6+9VnXr1lWrVq109913Oz2uRo0aysnJcVraCADwPIQqAECl1rx5c8dtX19fRUVFqVmzZo5tMTExkqTDhw9Lym84sWLFCsc5WqGhoWrcuLEkadeuXSW+RmZmpgICApyaafTo0UN169ZV/fr1dcstt2jevHmO2bACQUFBklRsOwDAsxCqAACVmtVqdbpvsVicthUEoby8PElSWlqa+vbtq02bNjl97dixo9jyvQLVqlVTRkaGcnJyHNvCwsK0ceNGLViwQHFxcZoyZYpatGih5ORkxzHHjx+XJEVHR7vkvQIA3INQBQBAEZdddpl+//131atXTw0bNnT6CgkJKfExLVu2lCRt27bNabufn5+6d++u5557Tlu2bNHu3bv13XffOfb/9ttvqlWrlqpVq1Zh7wcAUPEIVQAAFDF27FgdP35cQ4cO1fr167Vr1y4tWbJEo0aNkt1uL/Ex0dHRuuyyy/Tjjz86tn311Vd69dVXtWnTJu3Zs0fvvfee8vLydPHFFzuO+eGHH9SzZ88Kf08AgIpFqAIAoIgaNWpo9erVstvt6tmzp5o1a6bx48crMjJSPj5n/mfz//7v/zRv3jzH/cjISH322Wfq2rWrmjRpojfeeEMLFixQ06ZNJUlZWVn6/PPPNWbMmAp/TwCAisXFfwEAcIHMzExdfPHF+vDDD5WQkHDO42fOnKmFCxdq6dKlF6A6AEBFYqYKAAAXCAoK0nvvvXfWiwQXZbVa9dprr1VwVQCAC4GZKgAAAAAoB2aqAAAAAKAcCFUAAAAAUA6EKgAAAAAoB0IVAAAAAJQDoQoAAAAAyoFQBQAAAADlQKgCAAAAgHIgVAEAAABAORCqAAAAAKAc/h9Zg39n8c9cBgAAAABJRU5ErkJggg==", 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" ] @@ -1239,16 +1248,16 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.641838Z", - "iopub.status.busy": "2025-11-27T09:14:09.641668Z", - "iopub.status.idle": "2025-11-27T09:14:09.755440Z", - "shell.execute_reply": "2025-11-27T09:14:09.754810Z" + "iopub.execute_input": "2025-11-27T09:37:08.666507Z", + "iopub.status.busy": "2025-11-27T09:37:08.666299Z", + "iopub.status.idle": "2025-11-27T09:37:08.773437Z", + "shell.execute_reply": "2025-11-27T09:37:08.772669Z" } }, "outputs": [ { "data": { - "image/png": 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mDT788EMsXLgQer0eq1atKtM+Cp6bMm7cuCLfChf8FPwRbjKZ0KRJk7v2e+aZZyrkfYWGhiItLQ1RUVEVsr87qdXqMq2X77jPqLRSU1PRpUsXnDhxArNnz8amTZuwbds2zJ07FwCKPKvmzrNO9xIWFoYLFy5g+fLl6NSpE9asWYNOnTrh3XffLXPGAhX5vgumfv7vVNGAeVIRvV5/3xM5nD59Gmq1GrVr1wZg/kzS0tLuea/PyZMnAaDQlwflZWNjgyFDhmDdunUwGAy4efMm/v777yL35E2bNg0XL17EnDlzYGtri7fffhthYWE4duxYmY+p0+kwaNAgrF27Fjk5OfeVv+BexHr16gEwf37A7c+oOBX5+RFR9cYiiYiqndatWwMAYmJiCq2/dOlSkb4XL15UZswqmH3OaDSiZ8+exf4UzJpXt25dJCcno0ePHsX2KziDERISApPJhCtXrhQ67oULF0r1XgYOHAgAWLJkSYl9Q0JC7rrvCxcuKK9XpP9+ppmZmYiJiUGtWrUAALt27UJSUhIWL16MF154AQ899BB69uypnKW5Hw4ODhg1ahQWLVqEyMhIDBgwAB988AFyc3Ph5eUFe3v7Yj+L8+fPQ6VSISgo6L4z3I2/vz98fX2LzCoIANHR0bC1tS31ZZTFiYyMxO7du9G+fXtlPw899BAA4Oeffy52m/T0dGzYsAGhoaFKYXC/Ro0ahcTEROzYsQOrVq2CLMtFiiTA/O/LSy+9hK1bt+L06dPIz8/HJ598Uq5j5uTkQJble57xKY1ffvkFkiShV69eAIBOnTrB1dUVy5YtKzLzYoGCz7bgsyaimotFEhFZrJ07dxb7LX/B/TD/vdTqwIEDyj1FABAVFYUNGzagd+/eUKvVUKvVGDZsmDKV8n/dOR30yJEjcfPmTXz33XdF+uXk5ChnCfr16wcA+OKLLwr1uXOmvHsZPnw4mjRpgg8++AAHDhwo8npGRgbefPNNAObi0NvbG19//XWhacg3b96Mc+fOlXpGvbL49ttvC82CtnDhQhgMBuV9F5yduXOc8vPzsWDBgvs6blJSUqFlnU6H8PBwyLIMvV4PtVqN3r17Y8OGDYUu/YuLi8OyZcvQqVOnQg8RLa2yTAE+atQoREVFKbOnAUBiYiI2bNiA7t27Q6Uq339ik5OTMXr0aBiNRmXsAfPvSnh4OD766CMcPny40DYmkwlPP/00UlJS7uts23/17NkT7u7uWLFiBVasWIEHHnhAObMFmGfNy83NLbRN3bp14eTkVGSq/P8q7oG7qampWLNmDYKCgopM818WBfc5jRo1Srlk1N7eHi+//DIuXLhQ6HMt8Pvvv2Px4sXo06cP2rVrV+5jE5F14D1JRGSxnnvuOWRnZ2Po0KEIDQ1Ffn4+9u/fjxUrVqBWrVpFJgBo3Lgx+vTpg+effx42NjbKH+qzZs1S+nz00UfYuXMn2rZti8mTJyM8PBzJyck4evQotm/fjuTkZADm6YNXrlyJp556Cjt37kTHjh1hNBpx/vx5rFy5Elu2bEHr1q3RvHlzjB49GgsWLEBaWho6dOiAHTt2FJmC+W60Wi3Wrl2Lnj17onPnzhg5ciQ6duwIrVaLM2fOYNmyZXBzc8MHH3wArVaLuXPnYtKkSejSpQtGjx6NuLg4fP7556hVqxZefPHFCvrkb8vPz0ePHj0wcuRIXLhwAQsWLECnTp0waNAgAECHDh3g5uaGCRMm4Pnnn4ckSfjll1/KdQnbnXr37g1fX1907NgRPj4+OHfuHObPn48BAwYoZ1bef/99bNu2DZ06dcIzzzwDjUaDb775Bnl5efj444/LddyCqawXLVpU4uQNM2bMwMqVKzFs2DBMnz4dLi4u+Prrr6HX6/Hhhx+W6ngXL17EkiVLIMsy0tPTceLECaxatQqZmZn49NNP0bdvX6WvTqfD6tWr0aNHD3Tq1AmTJk1C69atkZqaimXLluHo0aN46aWX8Mgjj5TrvRdHq9Xi4YcfxvLly5GVlYX/+7//K5K/4PcjPDwcGo0G69atQ1xcXIk5+vXrh8DAQLRt2xbe3t6IjIzEokWLEB0djRUrVpQqn8FgUM7C5ubm4vr169i4cSNOnjyJbt26Fbn38PXXX8exY8cwd+5cHDhwAMOGDYOdnR327duHJUuWICwsDD/99FMZPiEislpiJtUjIirZ5s2b5ccee0wODQ2VHR0dZZ1OJ9erV09+7rnn5Li4uEJ9cWs65SVLlsj169eXbWxs5BYtWhQ7zXFcXJw8depUOSgoSNZqtbKvr6/co0cP+dtvvy3ULz8/X547d67cqFEj2cbGRnZzc5NbtWolz5o1S05LS1P65eTkyM8//7zs4eEhOzg4yAMHDpSjoqJKNQV4gZSUFPmdd96RmzRpItvb28u2trZy48aN5RkzZsgxMTGF+q5YsUJu0aKFbGNjI7u7u8tjx46Vb9y4UajP3aZH7tKlS7FTa4eEhMgDBgxQlgumwt69e7c8ZcoU2c3NTXZ0dJTHjh0rJyUlFdr277//ltu1ayfb2dnJ/v7+ylTt+M8003c7dsFrd04B/s0338idO3eWPTw8ZBsbG7lu3bryK6+8Uuhzl2XzVNx9+vSRHR0dZXt7e7lbt27y/v37C/UpeC+HDh0qtH7nzp1FMpZ2CvACV65ckYcOHSo7OzvLdnZ2cvfu3eV///23VNvijumkVSqV7OrqKrdo0UJ+4YUX5DNnztx1u/j4eHn69OlyvXr1ZBsbG9nV1VXu2bOnMu33nQqmAL+fKbq3bdsmA5AlSZKjoqIKvZaYmChPnTpVDg0NlR0cHGQXFxe5bdu28sqVK0vc7/z58+VOnTrJnp6eskajkb28vOSBAwfKe/bsKVWugmnuC37s7e3lWrVqycOGDZNXr14tG43GYrczGo3yokWL5I4dO8rOzs6yra2t3KhRI3nWrFlyZmZmkf73+r0lIuslyfJ9ft1HRGQBJEnC1KlTMX/+fNFRrMLixYsxadIkHDp0SLkHjIiIqKbgPUlERERERER3YJFERERERER0BxZJREREREREd+A9SURERERERHfgmSQiIiIiIqI7sEgiIiIiIiK6g9U/TNZkMiE6OhpOTk6QJEl0HCIiIiIiEkSWZWRkZMDf3x8q1d3PF1l9kRQdHY2goCDRMYiIiIiIyEJERUUhMDDwrq9bfZHk5OQEwPxBODs7C82i1+uxdetW9O7dG1qtVmiWmo5jYTk4FpaDY2FZOB6Wg2NhOTgWlqO6jkV6ejqCgoKUGuFurL5IKrjEztnZ2SKKJHt7ezg7O1erXyZrxLGwHBwLy8GxsCwcD8vBsbAcHAvLUd3HoqTbcDhxAxERERER0R1YJBEREREREd2BRRIREREREdEdrP6eJCIiIiIi0WRZhsFggNFoFB2lQuj1emg0GuTm5lrUe1Kr1dBoNPf96B8WSURERERElSg/Px8xMTHIzs4WHaXCyLIMX19fREVFWdyzSO3t7eHn5wedTlfufbBIIiIiIiKqJCaTCREREVCr1fD394dOp7O4oqI8TCYTMjMz4ejoeM+HslYlWZaRn5+PhIQEREREoH79+uXOxiKJiIiIiKiS5Ofnw2QyISgoCPb29qLjVBiTyYT8/HzY2tpaTJEEAHZ2dtBqtbh+/bqSrzws5x0REREREVkpSyokrF1FfNYcLSIiIiIiojuwSCIiIiIiIroDiyQiIiIiIqI7sEgiIiIiIqJi3bx5E+PGjYOHhwfs7OzQpEkTHD58+K79Fy9eDEmSIEkS1Go13Nzc0LZtW8yePRtpaWlF+kdFReGxxx5TZv4LCQnBCy+8gKSkpEL9unbtquz3zh+DwVDh7xlgkURERERERMVISUlBx44dodVqsXnzZpw9exaffPIJ3Nzc7rmds7MzYmJicOPGDezfvx9TpkzBzz//jObNmyM6Olrpd/XqVbRu3RqXLl3Cr7/+isuXL+Prr7/Gjh070L59eyQnJxfa7+TJkxETE1PoR6OpnMm6OQU4EREREREVMXfuXAQFBWHRokXKutq1awMwTwF+N5IkwdfXFwDg5+eHsLAwDBw4EI0aNcKrr76KJUuWAACmTp0KnU6HrVu3ws7ODgAQHByMFi1aoG7dunjzzTexcOFCZb/29vbKfisbiyQiIiIioirWuv83iE3IrNJj+no54vAfT5a6/8aNG9GnTx+MGDECu3fvRkBAAJ555hlMnjy5zMf29vbG2LFj8eOPP8JoNCItLQ1btmzBBx98oBRISk5fX4wdOxYrVqzAggULhDx8l0USEREREVEVi03IxM3YDNEx7unq1atYuHAhpk+fjjfeeAOHDh3C888/D51Oh0cffbTM+wsNDUVGRgaSkpIQEREBWZYRFhZWbN+wsDCkpKQgISEB3t7eAIAFCxbg+++/V/o8+eST+OSTT8r35krAIonu6tC5K1i7IQLurnaYMqYVXJzL98RiIiIiIirM18vR4o9pMpnQunVrfPjhhwCAFi1a4PTp0/j666/LVSTJsgwAhc4MFawrjbFjx+LNN99Ull1dXcucobRYJFGx1h7YixG/ToBp83Ag1x6LVh7D7lWT4OXhIDoaERERUbVXlsveRPHz80N4eHihdWFhYVizZk259nfu3Dk4OzvDw8MDKpUKkiTh3LlzGDp0aLF93dzc4OXlpaxzcXFBvXr1ynXssuLsdlSs51bNhGybDTQ/CEgmnLuUiMdf3lCmap+IiIiIqq+OHTviwoULhdZdvHgRISEhZd5XfHw8li1bhiFDhkClUsHDwwO9evXCggULkJOTU6hvbGwsli5dilGjRgm5HwlgkUTFOHP9GmJUZ80L3jdhb28+4bhp+0Vs33tVYDIiIiIiqiovvvgiDh48iA8//BCXL1/GsmXL8O2332Lq1Kn33E6WZcTGxiImJgbnzp3Djz/+iA4dOsDFxQUfffSR0m/+/PnIy8tDnz59sGfPHkRFReHPP/9Er169EBAQgA8++KCy3+JdsUiiIt5Y/g2gMp8xaufWHd9/NBRwSAda7MfoFY8LTkdEREREVaFNmzZYt24dfv31VzRu3Bjvvfce5s2bh7Fjx95zu/T0dPj5+SEgIADt27fHN998gwkTJuDYsWPw8/NT+tWvXx+HDx9GnTp1MHLkSNStWxdTpkxBt27dcODAAbi7u1f2W7wr3pNERey8uRW4NUfDO0Mmo1fzcEzavg359glIBvDLXzvwaPceQjMSERERUeV76KGH8NBDD5W6/8SJEzFx4sRS9w8JCcHixYtL7Ldr165S77Mi8EwSFXIl9gYybW8CAHRZPujX+gFoNGqMaDhS6fPeH1+JikdEREREVOlYJFEhX2/doLQbObVS2p88+iyg1wEALpsOITEtrcqzERERERFVBRZJVMgfZ3cq7SHNuittb1c3NNA8YF7Q6PH+mp+rOhoRERERUZVgkUSFXMk+Z24YVZjSp/D1p1M6jlLaK09uABERERGRNWKRRIobSfHIt00CANjn+cHH3bXQ688OGAJVrvlJzbGas7gaE1PVEYmIiIiIKh2LJFKcOBsL+WQbyDdD0NC+RZHXdVotmjl2NC+oTJi9ZlEVJyQiIiIiqnwskkhx8XwWcKYVsKcfnmz2VLF9XugxTmlvvPh7VUUjIiIiIqoyLJJIcejETaXdpllAsX3GdesBbY75wV6puIlLkbzkjoiIiIisC4skUhw+GQ0AsLXRoHFD72L7qFQqDPYdD3l3P8gbHsVvW65VYUIiIiIiosrHIokAAKkZmbicdAWQTGjc0BtarfqufWePehyIDgFMaixbf6oKUxIRERERVT4WSQQA+O3IQWDACmDEDzCE/XPPvqH1vNCyiR8A89mni1cTqyIiEREREVWhhQsXomnTpnB2doazszPat2+PzZs333ObmTNnQpIkSJIEjUYDT09PdO7cGfPmzUNeXl6R/mfOnMHIkSPh5eUFGxsbNGjQAO+88w6ys7ML9atVq5ay34KfwMDACn2/d2KRRACA3eeOAgAktRFBnl4l9h8zuInSXrr+RKXlIiIiIiIxAgMD8dFHH+HIkSM4fPgwunfvjsGDB+PMmTP33K5Ro0aIiYlBZGQkdu7ciREjRmDOnDno0KEDMjIylH4HDx5E27ZtkZ+fj99//x0XL17EBx98gMWLF6NXr17Iz88vtN/Zs2cjJiZG+Tl27FilvG8A0FTanqlaORF9Vmm3rdO0xP6jBjXCKz8vgBxyCXOvrsW7puNQqVhzExEREVmLgQMHFlr+4IMPsHDhQhw8eBBhYWF33U6j0cDX1xcA4O/vjyZNmqBXr15o1qwZ5s6di/fffx+yLOPxxx9HWFgY1q5dq/wdGRISggYNGqBFixb47LPP8Nprryn7dXJyUvZb2VgkEQDgWsYVQGdu927WpsT+gX4ucGl1BWm215EPYPneXRjTpXulZiQiIiKyJp/u+Rqf7f2mxH4t/Ztgw6SfC60bvGg8jkaXfG/4iw8+iemdi3+0S1kYjUasWrUKWVlZaN++fZm3Dw0NRb9+/bB27Vq8//77OH78OM6ePYtly5YV+aK9WbNm6NmzJ3799ddCRVJV4lf/BABIlePMjXwbtKpft1TbPFRvgNL+bOsvlRGLiIiIyGql52bgZlpMiT8JWUlFtk3ISirVtum5GcUcufROnToFR0dH2NjY4KmnnsK6desQHh5ern2Fhobi2rVrAICLFy8CwF3PSIWFhSl9Crz22mtwdHRUfr744oty5SgNnkkipGZkwqBLBwDYGzxKfdncu8MmYelnCwCVCccy9kGvN0Cr5a8UERERUWk42zohwMWvxH5eDh7FrivNts62TuXKVqBhw4Y4fvw40tLSsHr1akyYMAG7d+9GaGhomfclyzIkSSqyrrReeeUVTJw4UVn29PQsc4bS4l+0hP3nzwK3fl89dSX/y1agXkAAvPWhiLc5C5NtBhb8uREvDHy4klISERERWZfpnZ8q96Vw/738rrLodDrUq1cPANCqVSscOnQIn3/+ORYuXFjmfZ07dw61a9cGADRo0EBZ16JFi2L7FvQp4OnpqWSpbLzcjvDv5XNKO9C5bFMpjmgyWGl/s3d5hWUiIiIiIstjMpmKncq7JOfPn8eff/6JYcOGAQCaN2+O0NBQfPbZZzCZTIX6njhxAtu3b8fo0aMrJHN5sEginLp5SWk39K5Tpm3fGjYeMJhPSF7I/xcZWdklbEFERERE1cGMGTOwZ88eXLt2DadOncKMGTOwa9cujB079p7bGQwGxMbGIjo6GqdOncKXX36JLl26oHnz5njllVcAAJIk4YcffsDZs2cxbNgw/Pvvv4iMjMSqVaswcOBAtG/fHtOmTauCd1k8FkmEiKRIpd08uME9ehbl4+aGEKk5AEDW5eJ/G1ZUZDQiIiIiEiQ+Ph7jx49Hw4YN0aNHDxw6dAhbtmxBr1697rndmTNn4Ofnh+DgYHTt2hUrV67EjBkzsHfvXjg6Oir9OnTogIMHD0KtVqNfv36oV68eZsyYgQkTJmDbtm2wsbGp7Ld4V7wnieAf2xvH9nsDjmnoPbVtmbef0GY4Zh89DAD4+dAazB4zqaIjEhEREVEV++GHH8q8zcyZMzFz5sxS92/SpAlWr15dYr+CWfGqCs8kEa5eTwWyHWGTFoz6QWV/QNcrg0dByjdX+lGp0cjIzK3ghEREREREVUdokWQ0GvH222+jdu3asLOzQ926dfHee+8VmgpQlmW888478PPzg52dHXr27IlLly7dY69UFiaTCRGRqQCAOsFupZ7++04OdnboYzsZ8m+PwLR9EDZuu1jyRkREREREFkpokTR37lwsXLgQ8+fPx7lz5zB37lx8/PHH+PLLL5U+H3/8Mb744gt8/fXX+Oeff+Dg4IA+ffogN5dnKypCXEIWcvMMAIDaQW7l3s8bDz8KZLgCAJatL/npz0RERERElkpokbR//34MHjwYAwYMQK1atTB8+HD07t0b//77LwDzWaR58+bhrbfewuDBg9G0aVP8/PPPiI6Oxvr160VGtxr7zp8Amv0D1DsNR7/Mcu+nQ+sgBAe4AAC27L6MhKSsiopIRERERFSlhE7c0KFDB3z77be4ePEiGjRogBMnTmDfvn349NNPAQARERGIjY1Fz549lW1cXFzQtm1bHDhwAI888kiRfebl5RWauz09PR0AoNfrodfrK/kd3VvB8UXnuNPey0cghR8DAKQ51rqvbCMGhOOTbw/AaDRh0boDeHFCl4qKWeEscSxqKo6F5eBYWBaOh+XgWFiO6jgWBoMBsizDaDQWeR5QdVZwe4wsyxb3voxGI2RZhsFgKPK7UtrfHaFF0uuvv4709HSEhoZCrVbDaDTigw8+UOZej42NBQD4+PgU2s7Hx0d57b/mzJmDWbNmFVm/detW2NvbV/A7KJ9t27aJjqA4eOaI8lugzjLijz/+KPe+/NwygEaHgVqXMOvwb2jo9U4Fpaw8ljQWNR3HwnJwLCwLx8NycCwsR3UaC0mS4Ofnh+TkZDg5OYmOU+EyMjJERygiIyMDWVlZ+OuvvwrNdQAA2dmle6an0CJp5cqVWLp0KZYtW4ZGjRrh+PHjmDZtGvz9/TFhwoRy7XPGjBmYPn26spyeno6goCD07t0bzs7OFRW9XPR6PbZt24ZevXpBq9UKzVLg3X9WAOZbktC3fRf079e/3PsymUx488Ic5NulIQdpcK1TGx1CwyooacWyxLGoqTgWloNjYVk4HpaDY2E5qutYxMXFIT09Hba2trC3t4ckSaIj3TdZlpGVlQUHBweLeT+yLCM7OxsZGRnw8/ND8+bNi/QpuMqsJEKLpFdeeQWvv/66ctlckyZNcP36dcyZMwcTJkyAr695Ouq4uDj4+fkp28XFxRX7pgHAxsam2AdPabVai/mXyZKyJOTEA7eitKrb8L5zPejTEzvSzQ+U/WjTT9jc5JP7jVipLGksajqOheXgWFgWjofl4FhYjuo2FgEBAVCr1UhMTBQdpcLIsoycnBzY2dlZTJFUwM3NDb6+vsXmKu3vjdAiKTs7u8iU02q1WrmusXbt2vD19cWOHTuUoig9PR3//PMPnn766aqOa5XSjEmAFpBNKjSvU+e+9/fmoMewY4m5SNodU31OhRMRERFVloJL7ry9vavV/VT3otfrsWfPHnTu3NmiClatVgu1Wn3f+xFaJA0cOBAffPABgoOD0ahRIxw7dgyffvopHnvsMQDmX6hp06bh/fffR/369VG7dm28/fbb8Pf3x5AhQ0RGtxq5qlQAgDrPAfZ2Rc/AlVXXps3gmBOETLso5NrFY+3+fXi4Q6f73i8RERFRdadWqyvkD3hLoFarYTAYYGtra1FFUkURWiR9+eWXePvtt/HMM88gPj4e/v7+ePLJJ/HOO7dv+H/11VeRlZWFKVOmIDU1FZ06dcKff/4JW1tbgcmtQ0ZOJky6HACAnan8z0j6r761+mF13LcAgP/9uZhFEhERERFVK0KLJCcnJ8ybNw/z5s27ax9JkjB79mzMnj276oLVEEevXFbablrPCtvvrBFPYPUX3wMqEw6n7YLeoIdWY33fMBARERGRdRL6MFkS63jE7SLJ297nHj3LJiw4GN76UACA0SYT8/9YX2H7JiIiIiKqbCySarC0VCPkm8GQU91R17V2he57VJOHlfbX+36t0H0TEREREVUmFkk1mG1mALCnP7B5JB4OfbjkDcrgnZHjAb0OskGDa9czkJtrHTO5EBEREZH1Y5FUg0VF336YVpB/xT5o18PZGX3wArBuAvL3d8QfOy9V6P6JiIiIiCoLi6QaLCo6TWkH+btU+P5fHDIYMJgnbFiy9mSF75+IiIiIqDKwSKrBomLMZ5JUKgl+3o4Vvv/uHWvD99Z+f//rElJScyr8GEREREREFY1FUg12ou7/Af1Wwu7B/dBoKv7BZhqNGqMHNQYA5JtyMX/tlgo/BhERERFRRWORVEPFpSbBZJcByTUZGteMSjvOyMGhQPsdwNCf8L/j71XacYiIiIiIKgqLpBrqyOXbEym4V+CDZP+rbbMQ2HllQtIYkGl7E3+dPFppxyIiIiIiqggskmqok5FXlLavg2+lHUeSJHQP6K0sv7fxu0o7FhERERFRRWCRVENdiL2mtIPdAyr1WO8OewKySQIA7E/4C0ajsVKPR0RERER0P1gk1VDXkm4q7QbetSr1WG0a1od7Tn0AgN4mDYt3ba7U4xERERER3Q8WSTVUdGaM0m4UVKvSjzckdJDS/vyvXyr9eERERERE5cUiqYZKzk1U2i3q1K/0480aNQnQmx8seyb7ILJysyv9mERERERE5cEiqYbKkJPNDYMGdf19Kv14gd4eCDI1BwDI2jzM3bCs0o9JRERERFQeLJJqqHxNOgBAq3eGWl3xD5ItzqQHRintxYdWVskxiYiIiIjKikVSDZSRmQv57x6QDz2I2pndquy4rwwdDinXAXK6K+LOOyE7J7/Kjk1EREREVFoskmqgGzEZQHQt4HIjtHHuUWXHdbC3xSibd4DfRyH/RBNs2naxyo5NRERERFRaLJJqoBsx6Uo7yM+5So895eHOAMzPTFqy7mSVHpuIiIiIqDRYJNVAN2NvF0kBvlVbJHVuG4LAW4XZn7suIyEpq0qPT0RERERUEhZJNdCxqHOAZwzgkA5fb/sqPbZKpcLYoU0AAAa7JLz3K2e5IyIiIiLLwiKpBtoRvwFSrw2QBi1Dpk10lR9/1KAwoNdaSA+twHeXP4Usy1WegYiIiIjoblgk1UBJdzxItklI7So/fotGgXCycQQA5OlSsPLA9irPQERERER0NyySaqB0060HyZokNA6pJSRD/zoDlPb/bf1JSAYiIiIiouKwSKqB8lRpAACV3gE6rVZIhlkjJwEGDQDgWPo+5OpzheQgIiIiIvovFkk1TFZODky6bACAnclVWI6GIf7wyTNP4GDS5GLeHyuFZSEiIiIiuhOLpBrmxLWrBY8pgovaXWiWsS2GKe1v//5VYBIiIiIiottYJNUwpyMjlLannZfAJMBbo0YDueYpyK8ZTyImJUFoHiIiIiIigEVSjXMhJlJp+zv7CkwCuDo5IFTTzrygNmLWmh+F5iEiIiIiAlgk1TgRCTeUdoh7gMAkZlO7jlXaq8+sFxeEiIiIiOgWFkk1THx6KmST+aakBr4hgtMAT/bvC02GN+QbtZB6uAGSUrJFRyIiIiKiGo5FUg0TnNIdWDkZ8vpx6BHWVnQcaDRqPOc/F9jbF8ZrtbFi42nRkYiIiIiohmORVMPcjM0AZBWQ44i6gd6i4wAAJg5vqbR/XnNCYBIiIiIiIhZJNc7N2HQAgKuLLRzsdYLTmDUJ80GzcB8AwD/HbuLi1UTBiYiIiIioJmORVIPIsmw+kwQgwMdJcJrCxg9rBqiMQEAEXl76heg4RERERFSDaUQHoKoTEROL3JZbgGwHaH2ai45TyIiBYXj55KOAfRb+SLZDnv5N2GhtRMciIiIiohqIZ5JqkKMRlyDVugQp/Diy3S6JjlNIkJ8bfKX6AACTNgef/bZKcCIiIiIiqqlYJNUgZ29EKG0fRx+BSYo3tsUwpf3d/l8FJiEiIiKimoxFUg1y5Y4HyQa7+QlMUry3Ro4B8uwAABGm44hNSRKciIiIiIhqIhZJNcj15GilXdcrSGCS4rk4OiBM2868oDZi5qofxQYiIiIiohqJRVINEpsZp7RDA0IEJrm7Z7uNU9qrz64XF4SIiIiIaiwWSTVIct7t5w81q1VXYJK7m9K3LzTZbgCAZN0VHLlyUXAiIiIiIqppWCTVIJmmZHPDqEbDwACxYe5CrVajvUcPZXnmmm8FpiEiIiKimohFUg2Sp0kDAKjzHaFWqwWnubu3Bz+htHfc2AJZlgWmISIiIqKahkVSDZGamQFZmwcAsIer2DAl6NmyOdzSGkM+1ww5f3XF2YsJoiMRERERUQ3CIqmGuB6TDPlSOOSbIfBXNRAdp0Qz230AHG8PpHngl7UnRMchIiIiohqERVINkZEC4HBnYE8/9HUbKzpOiR4Z1BgajfnXc8nakzAaTYITEREREVFNwSKphrgRk660A3ydBCYpHS8PB/TrWg8AcDM2A3/9HSE4ERERERHVFCySaoibsRlKO8DXWWCS0pswojlglwmEHcP09e+JjkNERERENYRGdACqGlExKUq7OpxJAoB+3epC1W8NZJscnDFocCMxAYGeXqJjEREREZGV45mkGmJN2hfAsB+B/itg66wXHadU7O1s0MiuvXlBY8Bby78XG4iIiIiIagQWSTVEmjEZki4fkksKQoP9RccptZd6TVTa6y+sF5aDiIiIiGoOFkk1RI6UCgCQ8uzh7OggNkwZPNqtJ3Q5ngCAdLvr2HH8qOBERERERGTtWCTVAAajAUZtJgDAxlg9Jm0ooFKp0MO/n7I8a/23AtMQERERUU3AIqkGOBcVCahkAICTyl1wmrJ7f8STgEkCABxI3gGDwSA4ERERERFZMxZJNcDJa1eVtoetp8Ak5dOiXj145jcEABhtM/D572sFJyIiIiIia8YiqQY4Hx2ptH0cvQUmKb+xzUco7YV7lwhMQkRERETWjkVSDRCRcENpB7n6CUxSfu+OGA/k2wAArupPIjk9o4QtiIiIiIjKh0VSDXAjNVZp1/UOFJik/FydnNDeZgjkf7pA3jgGm7ZcER2JiIiIiKwUi6QaIC4rQWk39A8RmOT+/N/Il4GrYYBBh8WrjouOQ0RERERWikVSDeCX1Any7n6Q/+mCVrUbiI5Tbu1aBqJBHQ8AwK4D13AtKkVwIiIiIiKyRiySaoC0GFsgOgTq6+Go4+8rOk65SZKECcObKcuLVx8TmIaIiIiIrBWLpBogJs48yYGvlyPU6uo95I8OawbJOwZouxNzLj8Po9EoOhIRERERWZnq/RczlchgMCIuMQsA4OftJDjN/Qvyd4FHhwuQ6lyA3iERX/6xTnQkIiIiIrIyLJKs3OWbsTAFXgK8ouHmZx1nXUY3G660v9rzi8AkRERERGSNWCRZuX8un4bUcTuknhsR7bFHdJwKMXPk7WcmXTEdQWxKkuBERERERGRNWCRZuYuxUUrb19FLYJKK4+7sjFBtO/OC2oB3Vv4gNhARERERWRUWSVYuIjFaaQe6+QlMUrGmdZ+otFef5X1JRERERFRxWCRZuRupMUq7rlegwCQV64k+faDN9gQApNpEYO/Zk4ITEREREZG1YJFk5eKz4pV2Q/9ggUkqlkqlQlffPsryu2u/EZiGiIiIiKwJiyQrl5J3e1KDxsG1BSapeO8NnwLZJAEA9iVs4zOTiIiIiKhCsEiychmmFHPDqELDwACxYSrYA6EN4ZHbAACgzwc2/n1UcCIiIiIisgYskqxcnjodAKDWO0KtVgtOU/GmtnoG8rbBwG+jsWVzrOg4RERERGQFWCRZsezcHMi6HACArclFcJrK8crIIXDIDgYgYfnG08jJ0YuORERERETVHIskK3bxRgzkLAfIJgnOajfRcSqFo4MNhvUPBwCkpedh47YLghMRERERUXXHIsmK6TNtgI2PAiumoL/9FNFxKs3EEc2V9sI1u4TlICIiIiLrwCLJikXHZdxqSQjx9RKapTJ1aRcCr2ZxQM912OPzPv4+d0p0JCIiIiKqxlgkWbGY+Ayl7efjJDBJ5VKpVGjWxhaSVxwA4N11fGYSEREREZUfiyQrdvtMEuBvxUUSAMwa9qTyzKQ9cXxmEhERERGVH4skK7YlbjXQfjvQ/ADsXay7aOjQOBTuOeZnJhls0vDNto2CExERERFRdcUiyYpF5J+BVOsypLAT8PV2FB2n0o1oNFRpf7HrJ4FJiIiIiKg6Y5FkxTJNKeaGUYV6fn5iw1SBWY9MBPJtAAAX9YeRkJYiNhARERERVUsskqxYnjodAKDOd4JarRacpvL5uLuivqqteUFtwLurfxAbiIiIiIiqJRZJViozJxuyLhcAYCe7CE5TdZ7rOl5przi9RmASIiIiIqquWCRZqVPXryltZ42buCBV7Kn+/aDJ8gAApGgjcODCacGJiIiIiKi6YZFkpc5GXVPaHrae4oJUMY1GjQc9e0E2SZBvBmP1lpOiIxERERFRNcMiyUpdjIlU2r6OPgKTVL25o58HNo4D9vTH5vXJkGVZdCQiIiIiqkaEF0k3b97EuHHj4OHhATs7OzRp0gSHDx9WXpdlGe+88w78/PxgZ2eHnj174tKlSwITVw8RidFKO8jdV2CSqtc6tA46NQ4DAJy7lIh/j98UnIiIiIiIqhOhRVJKSgo6duwIrVaLzZs34+zZs/jkk0/g5nb7HpqPP/4YX3zxBb7++mv8888/cHBwQJ8+fZCbmyswueWLTotV2nW8AgUmEeOxUS2U9o8rjglMQkRERETVjUbkwefOnYugoCAsWrRIWVe7dm2lLcsy5s2bh7feeguDBw8GAPz888/w8fHB+vXr8cgjjxTZZ15eHvLy8pTl9HTzNNh6vR56vb6y3kqpFBy/KnLYZgZAvtIIsMtCo8F1hL/3qjakTwM8944WWTl5WHJgE95KeAC+ru7K61U5FnRvHAvLwbGwLBwPy8GxsBwcC8tRXceitHklWeANG+Hh4ejTpw9u3LiB3bt3IyAgAM888wwmT54MALh69Srq1q2LY8eOoXnz5sp2Xbp0QfPmzfH5558X2efMmTMxa9asIuuXLVsGe3v7Snsvlmb2gss4ejYDAPDzR03g7Ci0HhbinbVbcdL5D0h2OeipHoap7XqLjkREREREAmVnZ2PMmDFIS0uDs7PzXfsJLZJsbW0BANOnT8eIESNw6NAhvPDCC/j6668xYcIE7N+/Hx07dkR0dDT8/PyU7UaOHAlJkrBixYoi+yzuTFJQUBASExPv+UFUBb1ej23btqFXr17QarWVeqxW/b/DqfPx0GpVyDz/OiRJqtTjWaIftm7BM7ufAAC45NZC/Cd7ldeqcizo3jgWloNjYVk4HpaDY2E5OBaWo7qORXp6Ojw9PUsskoSeXjCZTGjdujU+/PBDAECLFi1w+vRppUgqDxsbG9jY2BRZr9VqLWYAqyJLbEImAMDP2wk6na5Sj2WppvTrj2mbPZFvn4g022vYd+4MujVtXqiPJf1e1HQcC8vBsbAsHA/LwbGwHBwLy1HdxqK0WYVO3ODn54fw8PBC68LCwhAZaZ6+2tfXPCtbXFxcoT5xcXHKa1RUbm4+EtJSAQD+Pk5iwwikUqnQ3b+vsjxz3bcC0xARERFRdSG0SOrYsSMuXLhQaN3FixcREhICwDyJg6+vL3bs2KG8np6ejn/++Qft27ev0qzVyZGrFyGN+BEY/gMSam0VHUeo90c8BZjMlxruT9oOg8EgOBERERERWTqhRdKLL76IgwcP4sMPP8Tly5exbNkyfPvtt5g6dSoAQJIkTJs2De+//z42btyIU6dOYfz48fD398eQIUNERrdoZ6KuAQAkrR6OdjXzUrsCLevXg1d+QwCA0TYdn21aKzgREREREVk6oUVSmzZtsG7dOvz6669o3Lgx3nvvPcybNw9jx45V+rz66qt47rnnMGXKFLRp0waZmZn4888/lUkfqKhLsVFK29fJW2ASyzCu5UilvXDvEoFJiIiIiKg6EFokAcBDDz2EU6dOITc3F+fOnVOm/y4gSRJmz56N2NhY5ObmYvv27WjQoIGgtNXDtcSbSjvY3V9gEsvwzvDxkPLNk3lcw1Fcj4sXnIiIiIiILJnwIokq3s202xNd1PUOFJjEMrg4OqKxXUfzgsaAt5Z/LzYQEREREVk0FklWKCH79pmSUP8QgUksx2v9HoOcZwv5fBOc2C06DRERERFZMhZJVihFn6S0m9aqLTCJ5Rj9YA80u/QycKwjTh3Kx+kLvOSOiIiIiIrHIskKZZlSzQ2DBiE+nLgBMN/b9sTINsryz6tPCkxDRERERJaMRZIVytdkAAA0ekeoVBziAmMGN4FOpwYALF1/CgajLDgREREREVki/gVtZVIzMyBr8wAAdrKL4DSWxd3NHkN6hwK22Ujw2o81x4+IjkREREREFkgjOgBVrOTkfMibhwO2OWjWhvcj/VfnvvZY6bAEksqEzfEJAN4RHYmIiIiILAzPJFmZ+MRsINUTiA1CM4+WouNYnMn9e0OT7wAASHO8ihPXrgpORERERESWhkWSlYmNz1Tavl6OApNYJp1Wi3ZuPcwLKhlvr/pGbCAiIiIisjgskqxMzB1Fkp83i6TizHr4KaX9V+yfMJlMAtMQERERkaVhkWRlDt08AoRcBHxuwtmdw1uc7s2awyW7DgBAb5uMb7f+JjgREREREVkS/hVtZQ6kbIfU4S9I3TfBYJsqOo7FGhE+TGl/9tcigUmIiIiIyNKwSLIyKXnJSjssMFhgEss2a+REIF8HALhkOISY5CSxgYiIiIjIYrBIsjKZplRzwyQhLChIaBZL5unijIDcJuYFjQFvrvhWbCAiIiIishgskqxMriodAKDS20On1QpOY9mG1umstNed2ygwCRERERFZEhZJVsRgMMCkzQYA6IxOgtNYvu4NGsIpoQnkQw8i9beuuHo9ueSNiIiIiMjqsUiyIpdjowGVeTprR5Wr2DDVgCRJeK3lW8DlRoDeBotXHRcdiYiIiIgsAIskK3Lm+nWl7apzF5ik+hj3cBOo1RIAYPGq4zAa+cwkIiIiopqORZIVuRQbpbS97D0FJqk+/Lyd0LdrPQBAVHQ6duy7KjgREREREYnGIsmKRCREK20/Z2+BSaqXSSObAx5xQJtdmLz+OdFxiIiIiEgwFklWJDU9F3KmI2SjCiEe/qLjVBsDuteH+sEdkOqdR5TmGE5evyw6EhEREREJxCLJivhntwY2jQNWTsbAsL6i41QbtrY6tHXpYV6QgBnLvxIbiIiIiIiEYpFkRWITMm+1JAT6uAjNUt3MHvY0ZNnc3h69GUajUWwgIiIiIhKGRZIVuV0kAb7ejgKTVD89WjSFa7Z5Age9TSq+2cqHyxIRERHVVCySrEhMfAYAwNFBB0cHG8Fpqp9HGg9X2p/tXCQwCRERERGJxCLJilyptQTosA02zU6KjlItvT/mMSDPFgBwxXgEN5LiBSciIiIiIhFYJFmJxLQ0GL2vQwq5AoP3NdFxqiUPF2c0suloXlAbMePXr8UGIiIiIiIhWCRZidOR15S2s8ZdXJBq7rW+jyvt9RfXiwtCRERERMKwSLIS529GKm0PWw+BSaq3sd26wTbLDwCQacjAgdMXBSciIiIioqrGIslKXIm7obR9nbwFJqneJEnChAZPQf5rILBpDNZtuCY6EhERERFVMRZJVuJ6UozSDnT1EZik+nvv0XHQJgcBkPDT6hPQ6/nMJCIiIqKahEWSlYhJvz0TW23PAIFJqj9PdwcM6RMKAIhPzMJv23nJHREREVFNwiLJSsRnJSjt+v5BApNYh8dHtVTaX63aKTAJEREREVU1FklWIjU/WWmHB4YITGIdej5YB15N4oEeG/CX+3s4eP6s6EhEREREVEVYJFmJTFOquWGS0CCAl9vdL7VahSbttJC8YwCVjDdWLRAdiYiIiIiqiKYsnVNTU7Fu3Trs3bsX169fR3Z2Nry8vNCiRQv06dMHHTp0qKycVAJtZDiy4QF7RxW02jINK93FhyOfQfvvVwIqGXsTt0Jv0EOr0YqORURERESVrFRnkqKjo/HEE0/Az88P77//PnJyctC8eXP06NEDgYGB2LlzJ3r16oXw8HCsWLGisjPTfxiNJmSeaAAc7YTQlGGi41iNtqEN4ZlvnsDBaJOOTzetEpyIiIiIiKpCqU45tGjRAhMmTMCRI0cQHh5ebJ+cnBysX78e8+bNQ1RUFF5++eUKDUp3l5SSDaNRBgD4ejkKTmNdxrcYhU/PzQQALNj7C14bOkZsICIiIiKqdKUqks6ePQsPD4979rGzs8Po0aMxevRoJCUlVUg4Kp2Y+Eyl7efNIqkizRw1AZ/N+BiyTTaiVCdwOfom6vnzni8iIiIia1aqy+1KKpDutz/dn2vRCYA2D4DMM0kVzNHeDi0cOpsXVCa8/utCsYGIiIiIqNKVeXa7n376Cb///ruy/Oqrr8LV1RUdOnTA9evXKzQclc6mi5shDV8EjPge13X/io5jdd4Z9KTS/uPaRphMJoFpiIiIiKiylblI+vDDD2FnZwcAOHDgAL766it8/PHH8PT0xIsvvljhAalkN1JjAQCSxgg/NzfBaazPoHbt4ZhtfkBvrl08luzaITgREREREVWmMhdJUVFRqFevHgBg/fr1GDZsGKZMmYI5c+Zg7969FR6QShaXEa+063gHCkxivYY2HApZBuSYQGzcdl50HCIiIiKqRGUukhwdHZWJGbZu3YpevXoBAGxtbZGTk1Ox6ahUknJvT5QRFhgsMIn1mjv2adhtmwDsegjbNmQiOydfdCQiIiIiqiRlLpJ69eqFJ554Ak888QQuXryI/v37AwDOnDmDWrVqVXQ+KoV0Q7LSbhxSS1wQK+br7oZHerQHAKRn5GHNH+cEJyIiIiKiylLmIumrr75C+/btkZCQgDVr1igz2R05cgSjR4+u8IBUshykmxt6HTycncWGsWJPjG6ptL//9ajAJERERERUmUr1nCQA+PHHHzFo0CB4enpi/vz5RV6fNWtWhQaj0tNrzc9J0hqcBCexbu1bBSG0nifOX4nHnsg92HmiFbo1ayo6FhERERFVsFKfSVqyZAkCAwPRoUMHzJ07F+fP8+Z1SxCXkgJo9AAAe7gITmPdJElC98G2wKClkLpuxptrvhQdiYiIiIgqQamLpL/++gsxMTF45plncOTIETzwwAOoX78+XnrpJezZs4fPjhHk9PUIpe2i4fTfle3pIT0g2WYDAP5N3YncvDzBiYiIiIioopXpniQ3NzeMGzcOK1euRGJiIr788kvk5ORg7Nix8Pb2xvjx47F69WpkZWVVVl76j/M3I5W2h52nwCQ1Q+NateFnbAwAMNlm4v3VSwUnIiIiIqKKVuaJGwrodDr07dsXCxYsQFRUFP7880/UqlUL7733Hj799NOKzEj34GYKgfz7SMh/PYQu3n1Fx6kRprQbq7R/+JdFEhEREZG1KXeR9F+tW7fG7NmzceLECbz++usVtVsqQVJiPpDuDsQFonlgmOg4NcLrQ8dAnWueJCNOexZHLl0UnIiIiIiIKlKpZ7crIMsyVq9ejZ07dyI+Pr7QvUiSJGHNmjXQarUVGpLuLjY+U2n7ejkKTFJz2Oh06ODeC3uz1wIqGa+v+Arb3vpcdCwiIiIiqiBlPpM0bdo0PProo4iIiICjoyNcXFyUH2c+o6fKxcRnKG0/b04BXlU+HPEMIJvbu+I3w2AwiA1ERERERBWmzGeSfvnlF6xduxb9+/evjDxURsfT/wZq3QBy7eHlaSc6To3RsVFjeOQ1RJLtBRht0/G/9SsxY/gY0bGIiIiIqAKU+UySi4sL6tSpUxlZqBzO226F1H4npC6b4elmLzpOjTKp1WilveDvnwQmISIiIqKKVOYiaebMmZg1axZycnIqIw+VUb7KfLmdKt8BGk2ZTwzSfXh35ASoM90hX2yM2F0NkZDEqe+JiIiIrEGZi6SRI0ciJSUF3t7eaNKkCVq2bFnoh6pOXn4+TDrzg01tTbwfrKo52NnhxYB5wJFOMCS646dVx0VHIiIiIqIKUOZTDxMmTMCRI0cwbtw4+Pj4QJKkyshFpXD+RhRw6+N3VLsKzVJTTR7TCv/7ej8A4PvlR/HSkx347wQRERFRNVfmIun333/Hli1b0KlTp8rIQ2VwNipSabvbuAtMUnPVr+2Bru1rYdeBa7hwJQl7/7mOzu1qiY5FRERERPehzJfbBQUFcapvC3EpNkppe9l7CUxSs00e3RLQ5QINT2LqyndFxyEiIiKi+1TmIumTTz7Bq6++imvXrlVCHCqLawnRStvfxUdgkpptSJ+GUPVfDanlfpyRtuHyzZuiIxERERHRfShzkTRu3Djs3LkTdevWhZOTE9zd3Qv9UNW5kRartEM8/AUmqdns7W3Q3KmjeUFtwqu/fiU2EBERERHdlzLfkzRv3rxKiEHlEZeRoLTr+QYITEIzBz+NwWu2AAA2X98Ik+l9qFRl/g6CiIiIiCxAuWa3I8ugz1FDzncG7LIRFhAsOk6NNrBtOzgtqYUMu2vIs0vE99v+wJQ+D4mORURERETlUKqvurOyyvaQzLL2p/Jxj+oC/DYGWPU4WtZpIDpOjTcqfLjS/r/tPwhMQkRERET3o1RFUr169fDRRx8hJibmrn1kWca2bdvQr18/fPHFFxUWkO4uNj4TAODqYgc7O53gNPThmClAvg0A4LLxECIT4gQnIiIiIqLyKNXldrt27cIbb7yBmTNnolmzZmjdujX8/f1ha2uLlJQUnD17FgcOHIBGo8GMGTPw5JNPVnbuGk+WZcTcKpJ8vRwFpyEA8HRxRmObjjgt/wVoDHht6UL8Om2m6FhEREREVEalKpIaNmyINWvWIDIyEqtWrcLevXuxf/9+5OTkwNPTEy1atMB3332Hfv36Qa1WV3ZmApCZlY/sHD0AwM+bRZKleOuhJ/HIpr8AABuurIMsvwtJkgSnIiIiIqKyKNPEDcHBwXjppZfw0ksvVVYeKqVDV84BPdcBufbI8e4oOg7dMvLBLnhsRQCy7W8iR5eI3w4cxsAObUTHIiIiIqIy4BzF1dTpyKuQvOIgBUXA4JgoOg7dYXz4JMhHOgLrH8Ufm3hfEhEREVF1wyKpmroaf1Np+zr5CExC/zV3/GQ43GgJ5Nti6fqTyMrOFx2JiIiIiMqARVI1FZl8e6bBIHdfgUnov5wcbfDIoMYAgIzMfKzcdEZwIiIiIiIqCxZJ1VRMRrzSru0VIDAJFWfymFZK++tfDwpMQkRERERlxSKpmkrITlDaDf2CBCah4jzQPAD1m0tA6z34t9YcrP57t+hIRERERFRKpZrd7uTJk6XeYdOmTcsdhkovLT8FsDW3w4NDxIahIiRJQotuMi7HngUAvPfbNxjesYvgVERERERUGqUqkpo3bw5JkiDLconPfDEajRUSjO4tS041N4wq1PHlPUmW6OMxT2PVx98DGgNO5e5Dcno63J2dRcciIiIiohKU6nK7iIgIXL16FREREVizZg1q166NBQsW4NixYzh27BgWLFiAunXrYs2aNZWdl27JU2cAANR6R6hUvGrSEoX4+qCudOsZSdp8vPHrt2IDEREREVGplOpMUkjI7cu5RowYgS+++AL9+/dX1jVt2hRBQUF4++23MWTIkAoPSYXl5OVC1uUAAGxlnpmwZNN7PI6puw4AAJafWYWv8bLgRERERERUkjKfgjh16hRq165dZH3t2rVx9uzZCglF9xYdnw75eFvI55sixNRSdBy6hyf79ocu2wsAkG57HX8c/kdwIiIiIiIqSZmLpLCwMMyZMwf5+bcfkJmfn485c+YgLCysQsNR8VJTDMC5FsCxDujkPFB0HLoHlUqFvkG3x+id9QsEpiEiIiKi0ijV5XZ3+vrrrzFw4EAEBgYqM9mdPHkSkiRh06ZNFR6QiopNyFTavl6OApNQaXw8dio2fvYToDbiWOZupGdlwtmB40ZERERkqcp8JumBBx7A1atX8f7776Np06Zo2rQpPvjgA1y9ehUPPPBAZWSk/4iJz1Daft5OApNQaTQIDECwqQUAQNbl4p0ViwQnIiIiIqJ7KfOZJABwcHDAlClTKjoLldKVmGhAlwPk2/JMUjXxfOeJePnAYchZjtjx9xXgMdGJiIiIiOhuyjV39C+//IJOnTrB398f169fBwB89tln2LBhQ4WGo+L9Fr8M0rCfgJHfIV1zQ3QcKoUXBg2Fz+lHgE1jcHqrKyIiU0RHIiIiIqK7KHORtHDhQkyfPh39+vVDSkqK8vBYNzc3zJs3r6LzUTGSc5MAAJLahPoBAYLTUGmo1Wo8338YIJv/lfth+VHBiYiIiIjobspcJH355Zf47rvv8Oabb0KjuX21XuvWrXHq1KlyB/noo48gSRKmTZumrMvNzcXUqVPh4eEBR0dHDBs2DHFxceU+hrXIMN4+C9EoKOQePcmSTBzRHGq1BAD4ccUxGAxGwYmIiIiIqDhlLpIiIiLQokWLIuttbGyQlZVVrhCHDh3CN998o8yWV+DFF1/Epk2bsGrVKuzevRvR0dF4+OGHy3UMa5IrpQMApHxbODnYC05DpeXn44SBPRsCAGKyovHV+j8FJyIiIiKi4pS5SKpduzaOHz9eZP2ff/5ZruckZWZmYuzYsfjuu+/g5uamrE9LS8MPP/yATz/9FN27d0erVq2waNEi7N+/HwcPHizzcayFyWSCQWueAlxn5Mx21c2o4XWAbpsgDVqG9/fOFR2HiIiIiIpR5tntpk+fjqlTpyI3NxeyLOPff//Fr7/+ijlz5uD7778vc4CpU6diwIAB6NmzJ95//31l/ZEjR6DX69GzZ09lXWhoKIKDg3HgwAG0a9eu2P3l5eUhLy9PWU5PN5910ev10Ov1Zc5XkQqOfz85IuPjAbX5Mi17uAh/T9VVRYxFeQzq3ASa3zNhBJCku4idJ46jU3ijKs1gaUSNBRXFsbAsHA/LwbGwHBwLy1Fdx6K0ectcJD3xxBOws7PDW2+9hezsbIwZMwb+/v74/PPP8cgjj5RpX8uXL8fRo0dx6NChIq/FxsZCp9PB1dW10HofHx/ExsbedZ9z5szBrFmziqzfunUr7O0t49K0bdu2lXvbw5HXlbZWb4M//vijIiLVWPczFuXVWNUaJ7ADkICp33+AOT3HVXkGSyRiLKh4HAvLwvGwHBwLy8GxsBzVbSyys7NL1a9cz0kaO3Ysxo4di+zsbGRmZsLb27vM+4iKisILL7yAbdu2wdbWtjwxijVjxgxMnz5dWU5PT0dQUBB69+4NZ2fnCjtOeej1emzbtg29evWCVqst1z4u/bYOiDK3gzyC0b9//wpMWHNUxFiUV0BYKB749i9AJeOidAzdui+Cna1NlWawJCLHggrjWFgWjofl4FhYDo6F5aiuY1FwlVlJylUkGQwG7Nq1C1euXMGYMWMAANHR0XB2doajY+kebnrkyBHEx8ejZcuWyjqj0Yg9e/Zg/vz52LJlC/Lz85GamlrobFJcXBx8fX3vul8bGxvY2BT9g1Or1VrMAN5PlutJMUrbz9nHYt5TdSXi96J1g4bwNTRCrO40TLaZ+Gj9cnz46BNVmsESWdK/ozUdx8KycDwsB8fCcnAsLEd1G4vSZi3zxA3Xr19HkyZNMHjwYEydOhUJCQkAgLlz5+Lll18u9X569OiBU6dO4fjx48pP69atMXbsWKWt1WqxY8cOZZsLFy4gMjIS7du3L2tsqxGVfLtICnb3E5iE7sfTHcYr7e8PLRWYhIiIiIj+q8xnkl544QW0bt0aJ06cgIeHh7J+6NChmDx5cqn34+TkhMaNGxda5+DgAA8PD2X9448/junTp8Pd3R3Ozs547rnn0L59+7tO2lAT1NZ3hPxbLmCXhW59OoqOQ+X0+sOjMfvv92C0yUCi7jz2nz2HDuFlnx2SiIiIiCpemc8k7d27F2+99RZ0Ol2h9bVq1cLNmzcrLBgAfPbZZ3jooYcwbNgwdO7cGb6+vli7dm2FHqO6SUrQAxmuQHwAwoP5INnqSqvRorNXH/OCSsaMFfPFBiIiIiIiRZnPJJlMJhiNxiLrb9y4ASen+3tuz65duwot29ra4quvvsJXX311X/u1JrHxmUrb16t093+RZZr7yHN44JvVgAT8nbwVuXn5sLXRlbwhEREREVWqMp9J6t27N+bNm6csS5KEzMxMvPvuu5xprQrE3CqSbGzUcHWpuFkBqeq1rtcQvoZwyHH+MB5ti43bLoiOREREREQoR5H0ySef4O+//0Z4eDhyc3MxZswY5VK7uXPnVkZGukOE/S6gznm41kuGJEmi49B9+m7QV8Bfg4DIevh+2THRcYiIiIgI5bjcLjAwECdOnMDy5ctx8uRJZGZm4vHHH8fYsWNhZ2dXGRnplszsbGSH7oEEIDsnSHQcqgD9ujREnWA3XI1Mwba9V3H1ejLqhLiLjkVERERUo5XrOUkajQbjxo2r6CxUgrM3IpW2k9pNYBKqKCqVCpPHtMSMj8xT3X/361HMeb2n4FRERERENVuZL7cDzM8revbZZ9GjRw/06NEDzz77LM6fP1/R2eg/zkXdLpLcbHi2wVpMGtkCao0E+Ebh81MfITsnV3QkIiIiohqtzEXSmjVr0LhxYxw5cgTNmjVDs2bNcPToUTRp0gRr1qypjIx0y6XYG0rbx9FLYBKqSD5ejggefAJSt9+RG3Aas1b+LDoSERERUY1W5iLp1VdfxYwZM3DgwAF8+umn+PTTT7F//3688cYbePXVVysjI91yPSlaaQe4+gpMQhXtiU5DlfaPh5cKTEJEREREZS6SYmJiMH78+CLrx40bh5iYmAoJRcW7mRartGt5+AtMQhXtlSGPQJPnDABItL2AXSdOCk5EREREVHOVuUjq2rUr9u7dW2T9vn378OCDD1ZIKCpefGaC0q7nGygwCVU0rUaLbj7m54xJEvDG6vmCExERERHVXGWe3W7QoEF47bXXcOTIEbRr1w4AcPDgQaxatQqzZs3Cxo0bC/WlipOclwTozO3woBCxYajC/d+Y59Fs/gpAJeOf9B3IysmBA6fVJyIiIqpyZS6SnnnmGQDAggULsGDBgmJfAwBJkmA0Gu8zHt0pw5gKAJBlIDwoWGwYqnBNatVBgLEpbqpOQLbJwrvLF+P/Jj0tOhYRERFRjVPmy+1MJlOpflggVTw50xFyugvUOS6wt7UVHYcqwXOdJyrtRUeXiQtCREREVIOV6zlJVPVkWYZ+Tw/g99EIv/CC6DhUSaYPHAFNrisAIMXuEv46cVxoHiIiIqKaqNRF0oEDB/Dbb78VWvfzzz+jdu3a8Pb2xpQpU5CXl1fhAcksNS0X+fnms3O+Xo6C01Bl0Wg06Ok/QFn+YA2fmURERERU1UpdJM2ePRtnzpxRlk+dOoXHH38cPXv2xOuvv45NmzZhzpw5lRKSgJj4DKXt5+MkMAlVtv+NeR7S1XDIWx7GyQ2+yMsziI5EREREVKOUukg6fvw4evTooSwvX74cbdu2xXfffYfp06fjiy++wMqVKyslJAGxCZlKm2eSrFuj4BCM8H4aSPZGYnI21m85LzoSERERUY1S6iIpJSUFPj4+yvLu3bvRr18/ZblNmzaIioqq2HSk+P38NqDXWuDBP5HheFV0HKpkT45rrbS/WXpYYBIiIiKimqfURZKPjw8iIiIAAPn5+Th69KjynCQAyMjIgFarrfiEBAC4lHgVkmc8pMBr0Nrni45Dlaxr+1poUMcDALBzfwROX4oWnIiIiIio5ih1kdS/f3+8/vrr2Lt3L2bMmAF7e3s8+OCDyusnT55E3bp1KyUkATEZ8Uq7jk+AwCRUFSRJwsRHGgH1TgN9V2PS4jdERyIiIiKqMUpdJL333nvQaDTo0qULvvvuO3z33XfQ6XTK6z/++CN69+5dKSEJSMpJVNoN/fkg2Zrg4YH1IbXcD8ktCUezdiEtM7PkjYiIiIjovmlK29HT0xN79uxBWloaHB0doVarC72+atUqODpyQoHKkqZPBm595I2CQ8SGoSrRMDAIIXJLXMdhyLpcvPnr95g/eZroWERERERWr8wPk3VxcSlSIAGAu7t7oTNLVLGy5DRzw6BBgIeH2DBUZV7s9rjSXnJqucAkRERERDVHmYskEkOvNj8nSaN3hErFYaspnh0wGLocTwBAuu01/H74H8GJiIiIiKwf/9quBtKzsiDr8gAAdnARnIaqkkqlQt+ggcryO+u+EpiGiIiIqGZgkVQNnI68prSd1K7CcpAY/zfuOcBovsT1ePZupGSkC05EREREZN1YJFUD52/cfkivhy3vR6pp6vn7ozbMD5eVtXmYsexbwYmIiIiIrBuLpGpAzraHfLQ95HPN0Ni1peg4JMDLPZ5Q2r+eXikwCREREZH1Y5FUDejT7YALzYDj7dG9VnfRcUiAJ/sOgE2OF2SjCunxWhw5HVXyRkRERERULiySqoHYhNsPEfX14rOoaiKVSoXnw2cAGx4F9vfCouUnRUciIiIisloskqqBmPjbRZKfN4ukmuqNsQ/DXuUMAPh5zQlkZuUJTkRERERknVgkVQNXE68DttmAZOKZpBrMxdkWowc3BgBkZOZj+cbTghMRERERWScWSdXAAbtFkIb+DGnE9/BwtxUdhwR6+tE25obagI/WL4Esy2IDEREREVkhFknVQJ5kfi6OZLCFjU4nOA2J1KqpP4K7RgKDf8HVkF+xdOdfoiMRERERWR0WSRbOaDTCqMsCANiYnASnIUvQ5YE6kGzM9yN9sPkbwWmIiIiIrA+LJAt3JTYGUJkAAA6Sq9gwZBE+HvcMYNACAC4YDiAqPkFwIiIiIiLrwiLJwp2JvKa0XXXu4oKQxfB1c0cjm47mBa0eL/+yQGwgIiIiIivDIsnCXYy5/dBQL3tPgUnIkrz70NNKe+PVdTCZTALTEBEREVkXFkkWLiI+Wmn7OfsITEKWZHjHLnDMDQQA5DnE4vs//xSciIiIiMh6sEiycFGpsUo7xN1PYBKyNI+Ej1DaH2//TmASIiIiIuvCIsnCxabHK+06PgECk5Cl+Wjs05D05inhr+IQLt+MEZyIiIiIyDqwSLJwSbmJSjs0IFhgErI07k7OaO7Q2bygMeDlX+aLDURERERkJVgkWbiQ6MGQN42GvG0wWtapLzoOWZj3hj4LOcce8umWOLpFxwkciIiIiCoAiyQLFx+XD2S6wCE7GO7OfJgsFda/VTv0TH4HOPUAoi7L2LbnquhIRERERNUeiyQLF5uQCQDw9XIUnIQs1dRH2yrthb8cEpiEiIiIyDqwSLJgOTl6pKblAgD8vHkWiYr3UM8G8Pcx/35s2n4RN2LSBCciIiIiqt5YJFmws1GRQOPDQN2zsPFNFh2HLJRGo8bkMS0B+0yYwv/Fcz9+JjoSERERUbWmER2A7u5oxHlITQ4DABLVWsFpyJINeMgfs6OXAioZv0VHQK9/C1ot//UmIiIiKg+eSbJgl+NuKG0fR2+BScjStWnQEB7GOgAAo0MyPlq9UnAiIiIiouqLRZIFu550++Ggga6+ApNQdTC5zXilveDvxeKCEBEREVVzLJIsWHRarNKu5RUgMAlVB+8MnwBVvgMAINb2NA6cuSA4EREREVH1xCLJgsVnJyrtBn6BApNQdWCrs0Vnrz4AAEllwqsrvhCciIiIiKh6YpFkwVLzbs9oFx4YIjAJVRf/N3oaIJvbB1K2ICs7V2geIiIiouqIRZIFyzSlmhsmCQ0DeSaJStayTgP4mxoDAEx2mXjn18ViAxERERFVQyySLFiulA4AUOntodNyCnAqnecffExpLzq2VGASIiIiouqJRZKFMhgMMOmyAQA2JifBaag6mT5wJLR5rgCAFHUUDp66IjYQERERUTXDIslC3UhIhhzvBznNDS7g9N9Uehq1Bo/Ufgzywa7AhnFYtoqz3BERERGVBYskC5WeagJ2DgT+GIV+Nk+LjkPVzOeTnoNdTGPAqMFPq08gKztfdCQiIiKiaoNFkoWKjc9U2r5ejgKTUHXk6mKH0YObAADSM/KwfONpwYmIiIiIqg8WSRYq5o4iyc+HRRKV3VPjWivt+Uv3CkxCREREVL2wSLJQsQk8k0T3p03zAIS1kYH223G8wVws27VTdCQiIiKiaoFFkoVaf3MJ0Gc10PkPmOzTRMehaqplVxWkWpchqU147/eFouMQERERVQsskixUdHYkJPdESAGR8HJ3EB2HqqmPx00FDOZnbF0wHkBkfLzgRERERESWj0WShUo3pCjtxiG1xAWhas3f3RPhug7mBY0eryz5SmwgIiIiomqARZKFysatS+z0Oni5uogNQ9XarIFTlfbGiLUwmUwC0xARERFZPhZJFkqvMU/coDVw0ga6P8M6doZTTjAAIM8uAQs3bxKciIiIiMiysUiyQAlpqYDW/PBPe/AsEt2/MU0eUdr/t+M7gUmIiIiILB+LJAt0+vo1pe2scRMXhKzGnNGTIeXbAgCuS0dxLipScCIiIiIiy8UiyQKdvxmltD3sPAQmIWvh6uSEVo7dzAtqE15a8rnYQEREREQWjEWSBboSd0Np+zh6C0xC1uSjES8AAORUNxw+kAGjkRM4EBERERWHRZIFikyOUdqBbr4Ck5A16d6sOTokvARsHomEY/7Ysvuy6EhEREREFolFkgVyza0N+UhHyGdboFVAU9FxyIq8NmYQAAkAsODnQ2LDEBEREVkoFkkWyJjsDlxsApxoiw71m4mOQ1akf/f6CA4wz5j4x1+XEBGZUsIWRERERDUPiyQLFJuQqbR9vficJKo4arUKT45tBQCQXRPw8qKvBSciIiIisjwskixQTHwGAECtluDpbi84DVmbiSObQeq1HlLfNVif/B3SM7NERyIiIiKyKCySLFBU9lXALhPeXvZQqThEVLH8fVwQ5OoHAJBtsvHGsu8FJyIiIiKyLPwL3MLk6/VIavMLpCFLkN72V9FxyEpN7/6E0l5ycrnAJERERESWh0WShblw4wagkgEAjmpXsWHIaj3Xfyh0ueYHFafbR2Dt3/sEJyIiIiKyHCySLMzZG9eVtqvOXWASsmYqlQoDaw1Vlt/dsEBgGiIiIiLLwiLJwlyKuaG0vR28BCYha/fJo88DBg0A4Ix+H6ITkwUnIiIiIrIMLJIszLXEaKXt5+wjMAlZu2Avb4Rq25kXtPl4+eevxAYiIiIishAskizMzdRYpR3i4SswCdUE7w58Rmmvu7IGJpNJYBoiIiIiy8AiycLEZSYo7TregQKTUE0wqlN3OOYGAADyHGLx3Z9/Ck5EREREJB6LJAuTlJOktBv4s0iiyjeuyRjIN2pB3jkA2zeli45DREREJByLJAuTbkhR2o2CQwQmoZpi3oQX4H1uGBAbhPV/XkR0LAslIiIiqtlYJFmYbNz6A9WghY+bm9gwVCPodBpMHt0SAGAwmPD98qOCExERERGJxSLJwtjuegTyxjEIOvuo6ChUg0wZ2woqlQQA+HbpERgMRsGJiIiIiMQRWiTNmTMHbdq0gZOTE7y9vTFkyBBcuHChUJ/c3FxMnToVHh4ecHR0xLBhwxAXFycoceXKydEjPdUIZDkjxKGe6DhUgwQHuGJAz7pA0BXcDF+KD1b8KjoSERERkTBCi6Tdu3dj6tSpOHjwILZt2wa9Xo/evXsjKytL6fPiiy9i06ZNWLVqFXbv3o3o6Gg8/PDDAlNXnrjETKXt6+0oMAnVRM175UHqtA2STzQWHFgsOg4RERGRMBqRB//zP9MNL168GN7e3jhy5Ag6d+6MtLQ0/PDDD1i2bBm6d+8OAFi0aBHCwsJw8OBBtGvXTkTsShObcEeR5MUiiarWm8PGYc7BD2HUZSHe9gz2nDyDzk0biY5FREREVOWEFkn/lZaWBgBwd3cHABw5cgR6vR49e/ZU+oSGhiI4OBgHDhwotkjKy8tDXl6espyebp4IQa/XQ6/XV2b8EhUc/2459l48DDQ+BOTaA071hee1ZiWNRU2kggpdvPvir9Q1kFQyXl3+BfaGza/043IsLEdNGQtZlmEwGaA3GqA36WGSTXCzcy3U53rKDSRlJyPfqEe+Xo88gx55hnzk6fUwmkwwGI0wGIzwcfRFuEc4DEYTjEYTjCYZW65sQ44+V+lnMplgMJpgMBlhNJlgutVu7NoSPrb+MBhkGE0mJOUkYX/iDsgATLIJJpMRMbGxWHxlL6Rb9wya8wO9vAfDRmULWTa/nytZ53Ax83ShPpIkQZZlALe2lQEnjSsecOlW6L0eTd+HNEMyJOlWT0mCBECCdLstSahlXx/1HMPM6yTABBN2J/wB3OorSebjSHdsU7Dcyr093G08lOWkvHicTjsG1a3tVJLKvJ0kQYIElWROoFGp0cGnC27tCpIk4VrmFSTkxpmPeauvdMePSlJBJUlw0bminmt9JQ8AXEg9B4NJD0ll7qdWqSBJ5v//kyQJGrUKkFTwdfCBu5278j7y9Ln49/pV6A/uh1aruXUMFdQqCdKt46lU5uP7O/pCp9GZP08JyDHkIEufZe4jqaAqOLa6YDsVVLfeq5Oto7IfSQL0Jj1kWYZGpTL3K+h/658Fn3FNUlP+f6o6qK5jUdq8FlMkmUwmTJs2DR07dkTjxo0BALGxsdDpdHB1dS3U18fHB7GxscXuZ86cOZg1a1aR9Vu3boW9vX2F5y6Pbdu2Fbv+t8ObITU5AgA4k+iFP/7g2aTKdrexqKke8muBv1LWApKMfzO2Y9Xa9XCw1VXJsTkWlsOSxkJvMuBmTiyyjbnINuQg25iDLEM2MvNzkZWfhxx9PnIMecgx5ONBXS9o9E7IzTMiN8+Ei8bTOKb5CwZZDwP0MEp6mCQDZFXhiUnUeQ7w3T8ZeoMJer0MvcGE7BZ/whR0pcR8ckQD4GD3wisfXgTJJq/4De7cdn8P4Hr92yvc4yH1WVu0YzH/uVs/XwXk291eEX4EUrNDJR8z2RO/bPlPth4bIHnHlLztmRbAyba3V6gNkEZ+X+J2APDjt9eABP/bKwIiIHXeUvIxjWpg5X8+gNZ7INU/W/K2N2oBe/sWXjlwKSTHjJK3PdQJuNz49grHVEgDlwM3StwU8qbRQKbL7RX1T0Fq/XfJ22U4A7+NKbyy8x+QAiJL2BDApcZQHeukFFeSBOgH/QCoTLf6FBRT0h1tc3Frd7QXNIkhtwpCwOgWi8yWm82vy+Zi9fa2t4rnW/v0/nccVLJaKaYzg44iy/fMrW0KekrKsQq2s83ygU9ED0iqW2slIKb2FuhtUu+y3e11HslN4J4eivcXXgEkwKTOR0Tg70W2uXO7gq1rJ3eBrcH11hcCEtJsbyDW+fh/+t1Z5JvbGtkGDdO7KxMcSRJw0/YU0rSxUMH87YL0n7yqWwWsm9EPQYZwAIBKZe5xQbcfJslwa193pJUkZT8qSYUAU324wevWlwQS8qQsRKhOKykLMppjqZT3JQFoqGoKjUqnjGuSHIckOe7W78edn5BKyaWSJNjCDsHaOuZ93vriJNoYhTw5B5AkqABIkqpQ3t/OnoAECa5qV7hr3JW8kEy4qb8BnUoLP60/IAG1A+ygVost7rOzs0vVz2KKpKlTp+L06dPYt2/ffe1nxowZmD59urKcnp6OoKAg9O7dG87Ozvcb877o9Xps27YNvXr1glarLfL6p8e2ALfGrWOzNujfv38VJ6w5ShqLmuzTGStxQzoJ2GVhb2IMvpjydKUej2NhOSpzLNJy0xGfmYSErEQkZCUhITMJCVlJiE6Lx82UeMRlJCIxOwk9vAajqa4zElNykJyag8jUeGyye69Uxzi0NghI9by9olYcpPbxJW5nkI24EZtbeKVRhdL9Z1wuZlUp/wCQ/rNtabczb1yGvuU9RiUqbYxiPt6qId1z8Z7++xlX9kdurl1gNAGFPjCNHpLq3h+gDCArzwBkGG6vtMuDZJulvH4v0fF5gEl9e4VPOiTHpBIj52arkHrtP3+o1o+B5FzytulXvRFx7o6C2zYbUvilErcDgPi/w4HUO95V7ShI7U6WuJ2ca4cre5oWXtn+NKRal0veNqIBcNC98MqHd5Xyi5Q84HqD2yvc4yH12XSPDW43t690LPcXKdgyvPDKcn+Rooc08gfI6S7A76MBAHHHpsPNxe4ue6gaBVeZlcQiiqRnn30Wv/32G/bs2YPAwEBlva+vL/Lz85GamlrobFJcXBx8fX2L3ZeNjQ1sbGyKrNdqtRbzB9jdsiTkJCrtUP9gi8lrzSzp98JSvNTtCby4+3kAwLIzK7BA81yVXNLBsbAcZR2LfEM+bqTF4HpKFK6n3oC91g4jmw1Gdk4+oqLTERWdhknbxuJm7rUS9/X9/r3A6ZzbKzT5kEaUMojGUHjZoIVs0ABGDWDQAEa1uW1UAyYVIKsAkwoqgw0cHHWw0Wlga6OBjU6NHIRBn+QKtaSBSlJDDfWttgpqSa1cNuXi5YfAAeFQqyRoNOZLqK6oh0GG0dxPJUGtUkGtUkN965Ip9a2f2kPC4GXjB7Xa3CcPWbiUU9d8+ditv3yjom4gJDgYapUa0q0/hiUAYW+3gFatVf7djM9vgdi8Pspbv7OvhFttCbBv6Ijwvs2Vy9dkGTibVgsZhnRAliFDhizLkAHIkIFbl/PJMuBXPwgBj9RWLvEzykYcSXW63ReASS7YxnwGwwRzu+HjLeGscVP2nayPw4XsYPO+cMdxZVOhdZKsQtuXuipZZVnGpVwXxBqaQJZlmGQTlLQFWW/9z72BH8Ibd7x1yaF5+4O5iciVM2+/R1mGCbf2cWudSTahbts28G3bQHnvGcZk7M04Z74iRYLS3wRzXtzxHpp3bwSdyUnZNkZtxLX89Fs5bucDbucFZOhUzgh/sI45k8m87VWH2kjPURfeBrf3Y142wc3ZD95N/JRjmkwyLuX6QJZMhfrijq0K1nt4uMJW7apsm+uUjqRcJyh/cUty4e2k2/tydraFbFQp2+apNTAYNIW2u10k3trDf78cUH5py1sR308lXcpti+tWJd833M9BylmsF/tFSmk/p7sc5I71Ogv4b31pjy+0SJJlGc899xzWrVuHXbt2oXbt2oVeb9WqFbRaLXbs2IFhw4YBAC5cuIDIyEi0b99eRORKlZqXDNy6sik0MFhsGKqxnu07DK9texf5uhRkOF7Bmr0HMLxzB9GxyAIkZSXjWPRpnIm7gNOx53E+/iIuJ1xHfFbCHX+EAfbZ/pi69wISk+/4pribHlLx320pZKMKRf5jbNBCvhIKSa+DrdoBjloHOGqd4KBzgIPOHo62dnCydYCzrT0CxgbCzdEJjvY6ODrobv3zXTg66OBgr71VAN0uhGxtNNDp1FCpKnqi16H3sW0vpaXX6/HHH3+gf//+pfiPeuv7OGbz+9j2fv5bXN6ZaruV3OWuepdrK/NYuJVyLP5rVLmOaTbxPra9n6sAPr2PbUvHXFjdLgjzDa/BaDLBaDLCZAKMsunWvXnyrX+aYDTKUEGNPX/tQc+ePaHRaGAwGpCQ9fTtfreKZ6PxVtt0e53PFB9o1TqlqEvLTUNcVsKtPibIJsAII2STDKPJXLSbZBkqSY36jze4VZibt72e3gMpuakwmYy39i8rhfudx3V70B21ptZVCnOTScbhhDrQGw3mLwVg/gwKCm6TbFL2U7dVGDxtfJRt0/NTcTyljnIs5TOEqdA6kyyj3ds9oIb2VvEORGTXwbXsJrdzwnTHlwUm5TNxcHNGy2bdC73Xo1kmpBoTb+UtGDsTjLKMlJRkuLi4ApKMoDbhqNWuqbIvvSkfe/XXYO/ujFYT2kCWARudRZyfKRWhSadOnYply5Zhw4YNcHJyUu4zcnFxgZ2dHVxcXPD4449j+vTpcHd3h7OzM5577jm0b9/e6ma2A4AMY6q5IQOhgUFCs1DNpVarMbDWEKyJXgQAmLlhAYukGiYxKxkXki6jfUhr2GjMZ+YzMvPw1rr5+ObUghK3z1IlIyv5P5fSxAVAzrUDcu2APDvYyI7wdvSEp4MHvB094OfsDV9PN3gOcYDHJDt4utvDw80eHm528HB7Da7OtlCr+fxzImuhTLRx619rrbZ0l2Dp9Xo4O2rg6W6vFKx+cClhq7vxBFC3XFu2R/n/ThuABiV3uqvO5dyubcld7qprsWtL90XOoPs4rlhCi6SFCxcCALp27Vpo/aJFizBx4kQAwGeffQaVSoVhw4YhLy8Pffr0wYIFJf9HujrKlczXSEp6O9jb2gpOQzXZJ+NewJo5PwNqI85HX0NSSjY83Cxj4hOqWLIs41LiVeyN+Ad7rx7A1jO7EPt3AgBgsseHSLhsjxNn43A1MgUIuAbpP/99lnPsgCwnINtR+acqxwkBAc4I9ncx/wS4INi/v/mfAeZ1Ls62NXJmLiIiqh6EX25XEltbW3z11Vf46quvqiCROCaTCUat+TlJOqOT4DRU0wV7+qKv/RPYvDoNxkxXLFpxDC8/1VF0LKoAJpMJR26ewL6If7Hv2j/YF/EPErKKv1n629+2A9fu+MYz2RPy+aZAmjuQ5oZAhxA0bxCMpqE+CG/ghVqBrggOcIGftyM0GnWx+yQiIqoOqs+FgVYuMj4eUJtvdHWQynvamKjizJv0HDYvNj8n6eslhzF9SvtKuHeDqprBYESvbx5Ben5asa/LRhWQ7A0kewIZ5v8vsrfTokmoN5qG+aBp2Ag0DfVBk1AfuLmKnaGIiIiosrBIshBnoq4rbRetm8AkRGYN6nii54N1sH3vVVy5noJte66iT9d6omNRKciyjGM3T2H9mc3IM+bj7S6v4s9dl7F28zn8sfMS0pq5Qgo0F0lyvg5I8AUS/IAEX7ga/ND5gQZo0cXPXBSF+qBOiBsLZCIiqlFYJFmIhORsyDGBgG0O/H05aQNZhmcebYPte68CkgkfLd2IPl2nl7wRCWE0GbHn6gGsP/MnNpzZjMjUmwAAtazD59OMyLtjVm1cCYccEwQk+MFbF4Ru7WqjW7/a6NgmEJfPHcSAAQOET9FKREQkEoskC2GT4wnseggAMPTt8k1RSlTRBvZqAJdWF5Hm/y922+bi1JURaFKXRbwluZkWgx/+XYYfDi1D1K3C6E5GKR8Gx2ggx/zwRTcXW/Rq2R/dOtRC1/a10LCupzKBgl6vx5XznEyBiIiIRZKFiE3IVNq+Xo4CkxDdptGo0bC5Goeyzb+fL/8yH1tmzhWcigAgOTsFT6yajk3ntsJoMhZ6TTaqgPgAIKo2cDMEPk7eGDouDA/3C0PX9rWg1XJSBSIionthkWQhChVJ3iySyHLMGf4Cev68DQDwV/xvyM19H7a2vBRLNLXRFvsuHVMKJFkGEB0MXK8PRAcjxMcbD/cNw7D+4WjXMpDPGCIiIioDFkkWgmeSyFJ1b9waHoY6SNJchdExCR+uWInZE8aKjlWjXEm6hr8u78PktuNw8lwsvv7lMJasO4mMoBCgQTpwNQy4EgpXrRcmDG+G8cOaoUVjPz6HiIiIqJxYJFmIbfpvgL5RQK49XNyeFx2HqJAn243Hh4dnAgC+PvgTi6QqEpF8He/vmIefj6yELMv4cX4sDu66/YUKLjYBzjfDA82C8PR7rTFyYCPY2+nEBSYiIrISLJIsRKoUA8ktCTClwM/DVXQcokLeGjoRcw98DKM2Gwn2p7Hr6Fl0bRkuOpbViky5gQ/++hyLDv0Kg8mgrD+Y/RuArgAAB3stxg5thSfHtkLLJv5ighIREVkpFkkWIk+VAQBQ5zvweSRkcWy1tujq2xc7ktZCUpvw+sovcbDlQtGxrM7NtBh8+Nfn+P7fpdAb9cp6OV8HnG8GXGiCuiFumD65PcYObQoXZ1uBaYmIiKwXiyQLkJuXB1mXDQCwlZ0FpyEq3v89Mg0t5q8FJOBQ5nakpGXBzcVBdCyrkKvPxfs75uGTPQuRZ8hT1st6LXC+KXChKUJ8vPHOnC4YP7wZNBrOTkdERFSZeMrCApy/cQO4dX+1o8pNbBiiu2gW0gBBUmMAgGyfgdd++kFwIuux6PByfPjXPKVAkvUayGdaABvHIiCxOxbOehgXdz+Hxx5pyQKJiIioCrBIsgDnbkQqbTcbd4FJiO7t1Z5Pmf+AvxSOnX+mQpZl0ZGqPVmWYRPVBOp0L8hGFeRzzYCNY+ET0x2fvzkEl/c+j6cebQOdjif+iYiIqgr/q2sBLsfdUNpeDp4CkxDd29M9H8Yv38bhn8MJuAwTdh+8hq7ta4uOVa3IsowTMWfQ3L8xLkck4ak3fsOOfRGAS1dAluAq+ePNVx7EMxPacKY6IiIiQXgmyQJcS4hW2v7OPgKTEN2bSqXCtEc7K8vzF/8rME31cy05Eg/9OBatP++N5z79CU16LTQXSACQ5oFHunbG+Z3P4uWnOrJAIiIiEohFkgW4mRqntEM8/AQmISrZw/3C4ONlnrBh/ZbzuBGTJjiR5ZNlGd8c/BmNP+mCzRf+gkk2Yf7Z/yE3Px8AEBzggt9/GoNfvxoOHz5MmoiISDgWSRYgLjNeadf1CRCYhKhkOp0GT45tDWjzYKx3As99/4XoSBYtIzcT4359Bk+vfRXZ+hwAgJztAJxuBZWkxotPtMOZHc+gf/cGgpMSERFRAd6TZAE80ptBPpcL2Gaj+WMNRcchKtHDQ2rhvRu/AFoDfos9h5yc12DHy8OKOBVzDiOXTMaFhMvKOvlSOHC8HZo3DMZ33wxE62b8YoSIiMjS8EySBdDHeQKXGgOnHkCjkGDRcYhK1KxubXhJ5gkbjA4pmLV8ieBElmfx4eVoN7+/UiDJei3kfb1ge6o7Pn5tAP7dNJkFEhERkYVikWQBYhMyAQDOTja8WZuqjWc7PKa0vz30k8AklufNP+fgsZXTkFNweV2KB/DncDTQPoB/Nj2BV57qCK2WzzsiIiKyVCySLEBBkeTLG7apGnl9yDho850BACkOF7BxP2e6K9DavT0kk7kIki+HAduGYnSPjjj8+xQ0DfMVnI6IiIhKwiJJsLTMLKTrIgH7DHh724iOQ1RqWo0W/YOHAAAkCXhz3ZdiA1mIPQev4YnH/4HpSAfIB7rD5mR3fPPBECz9chicHPnvOBERUXXAIkmw4xFXIPVeB2nwUkQGrhcdh6hMPhs3DTCaz5ic0e/BjfgksYEEuZhwBbIsY8naE+g55mckp+YAlxuhHtrh4IYnMGVsa0iSJDomERERlRKLJMEuREcqbXdbD4FJiMqulrc/wnTtzAu6PLy4uOadTVpz6jc0/6wHur33LB59YR30ehMAoE+Xujj8+xQ0b8RnnxEREVU3LJIEuxJ3U2n7OHoJTEJUPrMHP6e0N15fA4PBKDBN1Zq391uMXDIZuYZc7MlcA/hfBwA8Oa4Vfls8Bi7OtoITEhERUXmwSBLselKM0g5w5Q3dVP0Ma9cVLvnmqevzbZKx6I9dYgNVkQ92zMP0Te9AlmUAgBzRAFJcIP73Zi8s/PAhaDScvY6IiKi6YpEkWHRanNKu5eUvMAlR+T37wFOQj7UDNjyKtatiSt6gmpu97RO8veUjZVk+1Qq2x3th9cLRePmpjrz/iIiIqJpjkSRYQnai0m7gFygwCVH5zRw1ESGZXYB8W/y56zIuR1jnBA6yLGPm1v9h5rb/3V53rB28Y7ti98pJeLhfuMB0REREVFFYJAmWmpestMMCgwUmISo/tVqFZ8a3UZYX/HxIYJrKIcsy3t36MWZv/+T2uqPtEZzRBfvXPY4HWvBLDiIiImvBIkmwDFOquWGSEBoYJDQL0f14bFQL2NiY78P5ce2/SEnPFJyoYv3f7gV4f8dnyrJ8tAPq5HTFntWTULeWu8BkREREVNFYJAmWJ6UDAFR6O+i0WsFpiMrP090BAwf5Ay33Ia3b93j554WiI1Wops7toMpzBADIhzuigb4b9qyehJBAV7HBiIiIqMKxSBLIZDLBqM0GAOhMToLTEN2/3v18IDU8DUmXjxXnliszv1V3Zy/GY8ITf8G47SHI/3RBI6k7dq+aiAA/Z9HRiIiIqBKwSBIoNS0X8urHIK8fh1bpE0THIbpvT/QcAPtc81T22Q438f2WPwUnun8RkSnoOfpnxCVkARmuaG7XDbtWTYSvN7/YICIislYskgSKTcgETGogxxF13WuLjkN03yRJwiPhjyjLH26pvpfc7bryNyYufRE9xyxGTLz5/qpWTfyw49fx8HR3EJyOiIiIKhOLJIFiE27f2O7r7SgwCVHF+d/YqZD0NgCA66rDOBVxTWygcjgRfQaDF0/Ezyd+xdWQ5YDagLD6nvhzyTi4u9mLjkdERESVjEWSQLHxdxRJXiySyDq4OTnhAaee5gW1CS8u+ezeG1iYa8mR6Pv9I8jIy1DWBfm6YevSR3kGiYiIqIZgkSTQ7uv7gKb/APVPQeOcLToOUYX53yPTgFtzNuxK+AM5uXlC85RWYlYS+nz/COIyEwAAcqIPPM8NwvZlExDo5yI4HREREVUVFkkCHU88DKnRMUit/4bBNlV0HKIK0ym8CXz1jQAAJtsMvPXrD4ITlSzfkI/hPz+BS4lXAQByuiscDw/Clp8moUEdT8HpiIiIqCqxSBIoMSdRaTfwDxSYhKjiTevyhNL+8egSgUlKJssynl3/BvZEHDAv59jB5u9B+O2bx9Gyib/gdERERFTVWCQJlKZPUdqNgmqJC0JUCV4aNBK6HA/I2Q5IveiJ42ejRUe6q/n7f8D3/5oLOdmohurvflj16ePo0r6W2GBEREQkBIskgbLkNHPDqEaQl5fYMEQVTK1WY0aTOcDGscDZlpi/6JDoSMXacWkvXtzwzu0V/3TBwpcew8BeDcWFIiIiIqFYJAmUrzbPnqXWO0Cl4lCQ9Zk+pg+cHe0AAEvXnUJicpbgREXJaa5AsvlLCvlMC7zafxKmjG0tNhQREREJxb/MBcnOzYWszQEA2MrOgtMQVQ4nRxs8PqoFACA3z4Bvlx4RnKiwrOx8PP7sdhi3DYR8pCMeDhyPOa/3EB2LiIiIBGORJMj5G1GAZG47qV2FZiGqTM9OfACSBMAhHXN3f4G8PL3oSIpFK48h8mYaYNKgrUNfLJk3nGd1iYiIiEWSKOdvRCptNxt3gUmIKledEHc0HBQBDFyGjDr78O6vP4uOBAAwGIz45NsDyvK3cwfCzk4rMBERERFZChZJglyKu6G0vew5aQNZt7Fdu5vPJgH49tBPYsPcMvbrN3Et9ywAGX261EXTMF/RkYiIiMhCsEgSJCdDgnwzGHKyJ2q7hYiOQ1SpXh86Fto8FwBAqsNFrNlzoIQtKteZ2PNYFbkYUs+NQKeteOWpjkLzEBERkWVhkSSIU3YtYE9/YMtwDGk4SHQcokqlUWswsPbDyvJb678QmAZ4Y+3nSjtQ3RDdO9YWmIaIiIgsDYskQWITMpW2r7ejwCREVWPeoy8CRjUA4ILpb1yOihWSIyU7FX9c/Q0AIOu1mDX0KUgF1wISERERgUWSMIWKJC8WSWT9Aj280dSuk3lBl49pi8WcTfrw9+9gVJln2HNOaILxg9sIyUFERESWi0WSILHxt4skH08HgUmIqs6c4dOU9paYDcjNrdrpwI0mI775d7Gy/GzHx6HRqKs0AxEREVk+FkmCHPaZD/RbAW23bbC15bTDVDP0a94eHoY6AACjYxJmLl1Wpcdf/PcGZEpJAABNQghmjH+oSo9PRERE1QOLJEHy7BIguaZA5ZIqOgpRlXqu02NK+7uDyyDLcpUde/bv85X2sLoj4ehgU2XHJiIiouqDRZIA8ampgMZ8mZEdnMWGIapirw8aD5f0UMj7eyB56wP4+1BUlRz3wKUTiDKdBQBImS747MnJVXJcIiIiqn5YJAlwMfqm0nbSuAhMQlT1dBodvuz9OXC9PmBSY/5Ph6rkuG8v/0Fpd3DuB18vfkFBRERExWORJMCV2NtFkquNu8AkRGKMGNAIPl7mCUs2bL2AhOT8Sj1eTo4eJ9YEQN42GLjWAPMfe7FSj0dERETVG4skAa4nxv1/e3ceHlV973H8M0kmk5UsJJkkLCEsBhEIm8TobWohBOhjKi4tuFCgklYNIKRWL14l0qeVSluv1SK09bpwH4ioD2DlVsCLEDcEgcY0FiOkCFqSsCYhC0nInPsHl+lEEkAlc05m3q/nmec55zdn+SRffw/5es6ccS/3DKNJgv9xOIJ0z/Szj95uazO04e2u/c6k51/+q44db5KOJWlq/DylX5HSpecDAADdG02SCf558oh72RkZZ2ISwDw/uWO0gpKrpOs2a0Pgs6pvaO6S85w506bf/PF99/oD91zXJecBAAC+gybJBJV1R93LvWISTEwCmMcZH6GorN2y9f2HXLHVeqxobZecZ+VrH+rAoZOSpJysARo5NKlLzgMAAHwHTZIJjjUcdy/37ZloYhLAPDabTfnX/utx4H/88EW5XK7Leg7DMDT/fwuknLVSv3L99CcZl/X4AADAN9EkmeDk6ZPu5f7OZBOTAOb69xtmKqgtTJJUF7NXKzdsv6zH/6+/bFF95D9k63lUIaM+0vjrBlzW4wMAAN9Ek2SCuBNjZOzMklF6tYb26Wd2HMA0ofZQ5fb/niTJFuhS4WvPXNbjL/b48thpQ6YpMDDwsh4fAAD4JpokE5ypTpAqhihg7xilOPlMEvzbklvnSYZNknQodLve3vmPy3LcbbvK9UXILkmSrc2u394577IcFwAA+D6aJBMcPd4gSYqLDVNAACWAf0uN7aP+tislSbawRt3/wh8uy3Hve/E/ZQs6I0nKSshRbHj0ZTkuAADwffyFboKjJxolSfGxYSYnAazhzsET3Mu7mjapvOLYNzpe6d5KlbZtca8/efv93+h4AADAv9AkeVl9U7Oawr+QImoVExdkdhzAEkbEXqkEe++zK/FVeugPa77R8eauWCFbxClJ0hWhI5Te58pvGhEAAPgRmiQvO3jyuGw562XLLdLB5PVmxwEswWaz6affmS1JMk7E6fVtH6vqyKmvdazyimN65+T/uNd/edN9lyUjAADwHzRJXlZZX+NejnbEmBcEsJjZ10zTbWGLpE23qLUyQb/5w/tf6zgLlq2UEr+QJMUGOXXT8ImXMyYAAPADNEledrSh1r0cFx5rYhLAWiIc4fr13XcqxGGXJD2z8sOvfDWp4rMT2vRGpYzPBkmSHpowh4ejAACAr4y/HrzsWNO//uhzRsSbmASwnuTEHrr7zjGSpKbTZ7R0+Xtfaf8ly96Rqz5c2j5eeXG/1LysWV0REwAA+DiaJC872VznXu4VQ5MEfNmD916nkJBAqc9+/f6tIlVWX9rVpH0HjuvFVz+SJPWIdOjxn9yuoEAejgIAAL46miQvqzvzrz/4UuKSTEwCWFPPniHqc+sHsv3b/6p15FY9vOz1S9rv3x/frDNnXJKkBbOvUXRUaFfGBAAAPowmycvq2xrcy6kJySYmAazJHmjXiLQ+kiRbcIte+MdT+vxwzQX3eaX4Pa0NfETq/4kS4sP00x9f64WkAADAV9EkeVmjUe9evqJXLxOTANa14gdLFGaLkiQZyZ9p2tLHO93WMAzd/fJ/yBZeL1vGNl0/vV6REQ5vRQUAAD6IJsnLmm3/fyXJZVN/Z6K5YQCLig2L0TM3LXGvv28U6c/Ff+1w2/uffVYnwz+RJAW2RGhF3v1eyQgAAHwXTZKXnQlqkiTZWkMVFMSHyoHO/PCamzUq6t8kSTbHad25skD1Dc3ttjn4z+P63V+fcK/PHzNfMRE9vJoTAAD4HpokLzIMQwF/uU3Guh9qwH4eTQxczOtznlHQmTBJUn3Pvcp95JcyDEOSdOZMm3IWPyhXxElJUryrv5bekW9aVgAA4DtokryoobFVrS0B0ukw9Y7oY3YcwPKSohL0+KRH3evbWv9bdz20Rh+XH9Gt972oT8M2n33DkIp+9J+y2WzmBAUAAD6FJsmLjp5odC/Hx4abmAToPuZPmK5RMZmSJFtok57/5I8amv2MXqtcKVtwiyTpu/1yNW5IhpkxAQCAD6FJ8qJjJ/71+O+EOJok4FLYbDb9+d7lCg0Ml75IlcrGSDFHpQFnH9YQFhSu//rhYyanBAAAvoQnB3jRjgN/k9I/kJpD1dYj1ew4QLeRHJWovQ8Uq+mEQ6vXl2n5wcU69v931i2eeL+ckfHmBgQAAD6FJsmLSqvKZBtSIkmqsY80NwzQzfSN6S3FSIt/+h3l1w/Vwxsf13uf7dDc6+4yOxoAAPAxNEleVFl31L3cKybBxCRA95YQEa8/3vobNbU2KTgo2Ow4AADAx/CZJC861nDcvdy3p9PEJIBvCLWHmh0BAAD4IJokLzrZXONeHpCYbF4QAAAAAJ2iSfKiutYa9/KgpN7mBQEAAADQKZokL2p01Z1dcNmU6uR2OwAAAMCKukWTtGzZMvXr108hISHKyMjQzp07zY70tbQEnP2epIDWUAUF8cwMAAAAwIos3yStWbNGBQUFKiws1J49e5Senq6JEyfqyJEjZkf7Slwul9rsZ5sku4svkgUAAACsyvJN0hNPPKG8vDzNmjVLQ4YM0YoVKxQWFqbnnnvO7Ghfyf5/VslocUiSwhRlchoAAAAAnbH0PV8tLS3avXu3Fi5c6B4LCAhQdna2tm/f3uE+zc3Nam5udq/X1Z39HFBra6taW1u7NvAFLH5im7TpZhmTX1FscJypWSD37586mI9aWAe1sBbqYR3UwjqohXV011pcal6bYRhGF2f52g4fPqxevXrp/fffV2Zmpnv8gQceUHFxsXbs2HHePo8++qgWL1583vjq1asVFhbWpXkv5ERtq+b9cq8aEz7VDyf215Rho0zLAgAAAPijxsZG3X777aqtrVWPHj063c7SV5K+joULF6qgoMC9XldXpz59+ignJ+eCvwhviI4frM8/K9PsGd+T3W43NYu/a21t1ZtvvqkJEyZQC5NRC+ugFtZCPayDWlgHtbCO7lqLc3eZXYylm6S4uDgFBgaqurq63Xh1dbUSExM73MfhcMjhcJw3brfbTS/gDdlp+stfKiyRBWdRC+ugFtZBLayFelgHtbAOamEd3a0Wl5rV0g9uCA4O1ujRo7Vlyxb3mMvl0pYtW9rdfgcAAAAAl4ulryRJUkFBgWbMmKExY8Zo7NixevLJJ9XQ0KBZs2aZHQ0AAACAD7J8kzR16lQdPXpUixYtUlVVlUaMGKGNGzfK6XSaHQ0AAACAD7J8kyRJc+bM0Zw5c8yOAQAAAMAPWPozSQAAAADgbTRJAAAAAOCBJgkAAAAAPNAkAQAAAIAHmiQAAAAA8ECTBAAAAAAeaJIAAAAAwANNEgAAAAB4oEkCAAAAAA80SQAAAADggSYJAAAAADzQJAEAAACAB5okAAAAAPAQZHaArmYYhiSprq7O5CRSa2urGhsbVVdXJ7vdbnYcv0YtrINaWAe1sBbqYR3UwjqohXV011qc6wnO9Qid8fkm6dSpU5KkPn36mJwEAAAAgBWcOnVKUVFRnb5vMy7WRnVzLpdLhw8fVmRkpGw2m6lZ6urq1KdPH33++efq0aOHqVn8HbWwDmphHdTCWqiHdVAL66AW1tFda2EYhk6dOqXk5GQFBHT+ySOfv5IUEBCg3r17mx2jnR49enSr/5h8GbWwDmphHdTCWqiHdVAL66AW1tEda3GhK0jn8OAGAAAAAPBAkwQAAAAAHmiSvMjhcKiwsFAOh8PsKH6PWlgHtbAOamEt1MM6qIV1UAvr8PVa+PyDGwAAAADgq+BKEgAAAAB4oEkCAAAAAA80SQAAAADggSYJAAAAADzQJHnRsmXL1K9fP4WEhCgjI0M7d+40O5LfefTRR2Wz2dq9Bg8ebHYsv/D2228rNzdXycnJstlsWr9+fbv3DcPQokWLlJSUpNDQUGVnZ2vfvn3mhPVxF6vFzJkzz5snkyZNMiesj1uyZImuvvpqRUZGKiEhQVOmTFF5eXm7bU6fPq38/Hz17NlTERERuuWWW1RdXW1SYt91KbW4/vrrz5sbd999t0mJfdfy5cs1fPhw95eUZmZm6o033nC/z5zwnovVwpfnBE2Sl6xZs0YFBQUqLCzUnj17lJ6erokTJ+rIkSNmR/M7V111lSorK92vd9991+xIfqGhoUHp6elatmxZh+8vXbpUTz31lFasWKEdO3YoPDxcEydO1OnTp72c1PddrBaSNGnSpHbzpKioyIsJ/UdxcbHy8/P1wQcf6M0331Rra6tycnLU0NDg3mbBggV6/fXX9corr6i4uFiHDx/WzTffbGJq33QptZCkvLy8dnNj6dKlJiX2Xb1799avfvUr7d69W7t27dK4ceN044036uOPP5bEnPCmi9VC8uE5YcArxo4da+Tn57vX29rajOTkZGPJkiUmpvI/hYWFRnp6utkx/J4kY926de51l8tlJCYmGr/+9a/dYzU1NYbD4TCKiopMSOg/vlwLwzCMGTNmGDfeeKMpefzdkSNHDElGcXGxYRhn54HdbjdeeeUV9zZ79+41JBnbt283K6Zf+HItDMMwvv3tbxv33XefeaH8WExMjPHss88yJyzgXC0Mw7fnBFeSvKClpUW7d+9Wdna2eywgIEDZ2dnavn27icn80759+5ScnKz+/fvrjjvu0KFDh8yO5PcOHDigqqqqdnMkKipKGRkZzBGTbNu2TQkJCUpLS9M999yj48ePmx3JL9TW1kqSYmNjJUm7d+9Wa2tru7kxePBg9e3bl7nRxb5ci3NWrVqluLg4DR06VAsXLlRjY6MZ8fxGW1ubXnrpJTU0NCgzM5M5YaIv1+IcX50TQWYH8AfHjh1TW1ubnE5nu3Gn06lPPvnEpFT+KSMjQy+88ILS0tJUWVmpxYsX61vf+pbKysoUGRlpdjy/VVVVJUkdzpFz78F7Jk2apJtvvlmpqamqqKjQQw89pMmTJ2v79u0KDAw0O57Pcrlcmj9/vq677joNHTpU0tm5ERwcrOjo6HbbMje6Vke1kKTbb79dKSkpSk5OVmlpqR588EGVl5dr7dq1Jqb1TX/729+UmZmp06dPKyIiQuvWrdOQIUNUUlLCnPCyzmoh+facoEmCX5k8ebJ7efjw4crIyFBKSopefvll3XXXXSYmA6xj2rRp7uVhw4Zp+PDhGjBggLZt26bx48ebmMy35efnq6ysjM9JWkBntfjxj3/sXh42bJiSkpI0fvx4VVRUaMCAAd6O6dPS0tJUUlKi2tpavfrqq5oxY4aKi4vNjuWXOqvFkCFDfHpOcLudF8TFxSkwMPC8J69UV1crMTHRpFSQpOjoaF1xxRXav3+/2VH82rl5wByxpv79+ysuLo550oXmzJmjDRs2aOvWrerdu7d7PDExUS0tLaqpqWm3PXOj63RWi45kZGRIEnOjCwQHB2vgwIEaPXq0lixZovT0dP3ud79jTpigs1p0xJfmBE2SFwQHB2v06NHasmWLe8zlcmnLli3t7umE99XX16uiokJJSUlmR/FrqampSkxMbDdH6urqtGPHDuaIBXzxxRc6fvw486QLGIahOXPmaN26dXrrrbeUmpra7v3Ro0fLbre3mxvl5eU6dOgQc+Myu1gtOlJSUiJJzA0vcLlcam5uZk5YwLladMSX5gS323lJQUGBZsyYoTFjxmjs2LF68skn1dDQoFmzZpkdza/cf//9ys3NVUpKig4fPqzCwkIFBgbqtttuMzuaz6uvr2/3f5YOHDigkpISxcbGqm/fvpo/f75+8YtfaNCgQUpNTdUjjzyi5ORkTZkyxbzQPupCtYiNjdXixYt1yy23KDExURUVFXrggQc0cOBATZw40cTUvik/P1+rV6/Wa6+9psjISPdnKqKiohQaGqqoqCjdddddKigoUGxsrHr06KG5c+cqMzNT11xzjcnpfcvFalFRUaHVq1fru9/9rnr27KnS0lItWLBAWVlZGj58uMnpfcvChQs1efJk9e3bV6dOndLq1au1bds2bdq0iTnhZReqhc/PCbMfr+dPnn76aaNv375GcHCwMXbsWOODDz4wO5LfmTp1qpGUlGQEBwcbvXr1MqZOnWrs37/f7Fh+YevWrYak814zZswwDOPsY8AfeeQRw+l0Gg6Hwxg/frxRXl5ubmgfdaFaNDY2Gjk5OUZ8fLxht9uNlJQUIy8vz6iqqjI7tk/qqA6SjOeff969TVNTk3HvvfcaMTExRlhYmHHTTTcZlZWV5oX2URerxaFDh4ysrCwjNjbWcDgcxsCBA42f/exnRm1trbnBfdCPfvQjIyUlxQgODjbi4+ON8ePHG5s3b3a/z5zwngvVwtfnhM0wDMObTRkAAAAAWBmfSQIAAAAADzRJAAAAAOCBJgkAAAAAPNAkAQAAAIAHmiQAAAAA8ECTBAAAAAAeaJIAAAAAwANNEgAAAAB4oEkCAFjWzJkzNWXKFNPOP336dD322GOXtO20adP029/+tosTAQC8wWYYhmF2CACA/7HZbBd8v7CwUAsWLJBhGIqOjvZOKA8fffSRxo0bp4MHDyoiIuKi25eVlSkrK0sHDhxQVFSUFxICALoKTRIAwBRVVVXu5TVr1mjRokUqLy93j0VERFxSc9JVZs+eraCgIK1YseKS97n66qs1c+ZM5efnd2EyAEBX43Y7AIApEhMT3a+oqCjZbLZ2YxEREefdbnf99ddr7ty5mj9/vmJiYuR0OvWnP/1JDQ0NmjVrliIjIzVw4EC98cYb7c5VVlamyZMnKyIiQk6nU9OnT9exY8c6zdbW1qZXX31Vubm57cafeeYZDRo0SCEhIXI6nbr11lvbvZ+bm6uXXnrpm/9yAACmokkCAHQrL774ouLi4rRz507NnTtX99xzj77//e/r2muv1Z49e5STk6Pp06ersbFRklRTU6Nx48Zp5MiR2rVrlzZu3Kjq6mr94Ac/6PQcpaWlqq2t1ZgxY9xju3bt0rx58/Tzn/9c5eXl2rhxo7KystrtN3bsWO3cuVPNzc1d88MDALyCJgkA0K2kp6fr4Ycf1qBBg7Rw4UKFhIQoLi5OeXl5GjRokBYtWqTjx4+rtLRUkvT73/9eI0eO1GOPPabBgwdr5MiReu6557R161Z9+umnHZ7j4MGDCgwMVEJCgnvs0KFDCg8P1w033KCUlBSNHDlS8+bNa7dfcnKyWlpa2t1KCADofmiSAADdyvDhw93LgYGB6tmzp4YNG+YeczqdkqQjR45IOvsAhq1bt7o/4xQREaHBgwdLkioqKjo8R1NTkxwOR7uHS0yYMEEpKSnq37+/pk+frlWrVrmvVp0TGhoqSeeNAwC6F5okAEC3Yrfb263bbLZ2Y+caG5fLJUmqr69Xbm6uSkpK2r327dt33u1y58TFxamxsVEtLS3uscjISO3Zs0dFRUVKSkrSokWLlJ6erpqaGvc2J06ckCTFx8dflp8VAGAOmiQAgE8bNWqUPv74Y/Xr108DBw5s9woPD+9wnxEjRkiS/v73v7cbDwoKUnZ2tpYuXarS0lJ99tlneuutt9zvl5WVqXfv3oqLi+uynwcA0PVokgAAPi0/P18nTpzQbbfdpg8//FAVFRXatGmTZs2apba2tg73iY+P16hRo/Tuu++6xzZs2KCnnnpKJSUlOnjwoFauXCmXy6W0tDT3Nu+8845ycnK6/GcCAHQtmiQAgE9LTk7We++9p7a2NuXk5GjYsGGaP3++oqOjFRDQ+T+Ds2fP1qpVq9zr0dHRWrt2rcaNG6crr7xSK1asUFFRka666ipJ0unTp7V+/Xrl5eV1+c8EAOhafJksAAAdaGpqUlpamtasWaPMzMyLbr98+XKtW7dOmzdv9kI6AEBX4koSAAAdCA0N1cqVKy/4pbOe7Ha7nn766S5OBQDwBq4kAQAAAIAHriQBAAAAgAeaJAAAAADwQJMEAAAAAB5okgAAAADAA00SAAAAAHigSQIAAAAADzRJAAAAAOCBJgkAAAAAPNAkAQAAAICH/wN08CPqZp70HgAAAABJRU5ErkJggg==", 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", 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" ] @@ -1284,16 +1293,16 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.757373Z", - "iopub.status.busy": "2025-11-27T09:14:09.757214Z", - "iopub.status.idle": "2025-11-27T09:14:09.885292Z", - "shell.execute_reply": "2025-11-27T09:14:09.884366Z" + "iopub.execute_input": "2025-11-27T09:37:08.775468Z", + "iopub.status.busy": "2025-11-27T09:37:08.775311Z", + "iopub.status.idle": "2025-11-27T09:37:08.892265Z", + "shell.execute_reply": "2025-11-27T09:37:08.891410Z" } }, "outputs": [ { "data": { - "image/png": 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UQYUKFdC8eXP06NFDefd6Rm0BpHx2jx49itjYWJW7VrP6PGoi9Q+OOnXqqLRnkSJFULduXVy4cEGj7aUn9f946v9NOzu7LD8rGQVMxYoV0aRJE43236lTJ4wdOxa7d+/GDz/8AEEQsGfPHrRo0ULZXsWLF8fYsWOxePFibN++HV999RXatm2L7t27q/zcM+Pr66v8/ttvv1X+7lm4cKFG9X4pvfYDkGkbZtR++fPn17j99IFHvnrk4OAANze3dJ+Fq1mzJpo0aYI6deqku66FhUW2H+f48pd4qsz+QjU1NU13vvDZNVV9+PzILFXnzp2xYcMGDB48GHv37sWxY8eU13kyuxaWmQ4dOuDjx49YtmyZ2ut4enri4cOHSEpKytY+M5NR++fk5/Ll5+C///5D48aN8fbtWyxevBj//PMPAgICMGbMGABp2zK9n0V66tWrh//++w+bN29GhQoVsHHjRlSpUgUbN25Ua/30aPPz6O7uDgAoWLBgmtcKFCiQ7h8ymrpz5w4KFCigDDovLy88ePAAiYmJGa5z69YtSKXSNH80ZYe7uzu++uor5XXfS5cu4fnz5+jSpYvKcosWLcKtW7fwww8/ID4+HiNHjkT58uWzfNY5PY6OjmjUqBG2b9+e4/pTf0eWKlUKwKcDisz6QEh9rVy5cjnevz4wfPWsVatWCAkJyfKmEHUULVoUr169SvPX4P3795WvA5+OEr68iSInR8ZFixaFQqFQOa0FpNyUo0sfPnzAiRMnMGnSJEyfPh1ff/01/Pz8UKJECZXlXFxcYG9vr/ZD/yNGjMCMGTMwd+5czJ07V6112rRpg/j4ePz5559ZLpv6s/iyfZKSknT2TPeXp31DQkKgUCiUz4gePHgQiYmJOHDgAAYNGoSWLVuiSZMmaodsZpycnNCnTx/s3LkToaGh8Pb2VnaaklFbACmf3fz586d5VlObKlasCKlUipcvX6Z57dWrV3BxccnR9i9evIj//vsPTZs2Vc5r3bo1EhISsGfPnnTXefr0Kc6ePYtGjRpppf2BlFPP//77Lx48eIDdu3fD2toabdq0SbNcxYoV8eOPP+LMmTM4e/YsXr58ibVr12Zrn/Hx8WkuV2hKLpdjx44dsLa2Rt26dQEALVq0gKmpKbZt25bher/++ivMzMzQvHnzHO1fXxi+ejZx4kRYW1ujb9++eP36dZrXNflLvmXLlpDL5Vi5cqXK/CVLlkAikaBFixYAUk6P5s+fH2fOnFFZbvXq1dl4BylSt718+XKV+UuXLs32NtWRegT0ZTt9uV8TExO0b98eBw8eTLfryPTa+aeffsL48eMxefJkrFmzJstaBg8eDDc3N4wbNw4PHz5M83pERARmzpwJAGjSpAnMzc2xfPlylX1v2rQJkZGRWr9LHECa+wZWrFgB4NPPLr22jIyMxJYtW3K033fv3qlM29raolSpUsqjPjc3N/j4+GDr1q0qfxDeuXMHx44dU3ZEoam3b9/i/v37WV6/tLOzQ8uWLXHhwgXlH6oAEBwcjAsXLsDPzy9b+wdS/qDt3bs3zM3NMWHCBOX8QYMGoUCBApgwYUKa6/MJCQno06cPBEHA1KlTs73vL3Xs2BGmpqbYuXMn9uzZg9atW6v8URMVFYXk5GSVdSpWrAgTE5NMj9ABpLncA6T8AXHixIl077FQl1wux8iRIxEcHIyRI0cqzxx4eHigT58+OH78eLr/N9euXYuTJ0+iX79+anWQYgh4zVfPSpcujR07dqBr164oW7assocrQRDw5MkT7NixAyYmJmp9gNq0aYOGDRtiypQpePr0KSpVqoRjx47hr7/+wujRo1Wux/bv3x9z585F//79Ua1aNZw5cybdwFCXj48PunbtitWrVyMyMhK1a9fGiRMnEBISku1tqsPe3h716tXD/PnzIZPJUKhQIRw7dgxPnjxJs+zs2bNx7Ngx1K9fHwMHDoSXlxfCwsKwZ88enDt3Dvny5UuzzoIFCxAZGYlhw4bBzs4u3evvqRwdHbFv3z60bNkSPj4+Kj1c3bhxAzt37lReE3NxccHkyZMxffp0NG/eHG3btsWDBw+wevVqVK9ePdP9ZNeTJ0/Qtm1bNG/eHBcvXsRvv/2G7777Ttn7UNOmTWFubo42bdpg0KBBiImJwYYNG1CgQAGEhYVle7/lypVDgwYNULVqVTg5OeHatWv4448/MHz4cOUyCxYsQIsWLeDr64t+/fohPj4eK1asgIODQ7a7FV25ciWmT5+OU6dOZXnT1ezZs3HixAk0atRIedPg8uXL4eTkhB9++EGt/d24cQO//fYbFAoFPn78iKtXr+LPP/+ERCLBtm3bVHpoc3Z2xh9//IFWrVqhSpUqaXq4CgkJwbJly1C7du1svff0FChQAA0bNsTixYsRHR2d5pTzyZMnMXz4cHTq1AllypRBcnIytm3bBlNTU3Ts2DHTbVesWBGNGzeGj48PHB0d8ejRI2zatAkymUztM0eRkZH47bffAABxcXHKHq7+++8/fPvtt/jll19Ull+yZAnu37+PoUOH4siRI8oj3KNHj+Kvv/5C/fr1sWjRInWbR3xi3GJNKT1dDRkyRChVqpRgaWkpWFlZCZ6ensLgwYNVesYRhE+dbKQnOjpaGDNmjODu7i5IpVKhdOnSaTrZEISUR0r69esnODg4CHZ2dkLnzp2FiIiIDB81evPmjcr6qY/kfP6IQ3x8vDBy5EjB2dlZsLGx0UknG1/WIQgpHWd8/fXXQr58+QQHBwehU6dOwqtXr9Ld77Nnz4SePXsKLi4ugoWFhVCiRAlh2LBhmXayIZfLha5duwpmZmbC/v37s6z/1atXwpgxY4QyZcoIlpaWgrW1tVC1alVh1qxZykdNUq1cuVLw9PQUpFKpULBgQWHIkCEZdrLxpYw6DAAgDBs2LE3b3bt3T/jmm28EOzs7wdHRURg+fHiaTjYOHDggeHt7C5aWlkKxYsWEefPmCZs3b07zs86ss4IvHzWaOXOmUKNGDSFfvnzKz/WsWbOEpKQklfWOHz8u1KlTR7CyshLs7e2FNm3aZNjJhjqfR3UfNUp1/fp1oUmTJoKNjY1gZ2cntGvXTnj48GGW66U+apT6ZWZmJjg5OQk1a9YUJk+eLDx79izTdQcMGCAUKVJEkEqlQv78+YW2bdsKZ8+eTbOsNnq42rBhgwBAsLOzS/Ozf/z4sdC3b1+hZMmSgqWlpeDk5CQ0bNhQOH78eJbb/fnnn4Vq1aoJjo6OgpmZmeDu7i58++23ysekspL6OF3ql62trVC6dGmhe/fuaTpj+VxiYqKwZMkSoWrVqoKNjY1gbW0tVKlSRVi6dGmaz5cgGHYnGxJB0PMdNESkU6mdXLx58wb58+cXuxwiSgev+RIREekZw5eIiEjPGL5ERER6xmu+REREesYjXyIiIj1j+BIREekZO9n4gkKhwKtXr2BnZ5dhn8hERERfEgQB0dHRcHd3z7IvfobvF169epVm5BgiIiJ1hYaGZtlLIcP3C6nDUYWGhmo8VJm2yWQyHDt2DE2bNoVUKhW1ltyA7aldbE/tY5tql77bMyoqCh4eHmqN883w/ULqqWZ7e3uDCF9ra2vY29vzP6IWsD21i+2pfWxT7RKrPdW5ZMkbroiIiPSM4UtERKRnDF8iIiI94zVfDQmCgOTkZMjlcp3vSyaTwczMDAkJCXrZX25nyO1pamoKMzMzPt5GlEcwfDWQlJSEsLAwxMXF6WV/giDA1dUVoaGh/KWsBYbentbW1nBzc4O5ubnYpRCRjjF81aRQKPDkyROYmprC3d0d5ubmOv8FrlAoEBMTA1tb2ywf2KasGWp7CoKApKQkvHnzBk+ePEHp0qUNqj4i0j6Gr5qSkpKgUCjg4eEBa2trvexToVAgKSkJlpaW/GWsBYbcnlZWVpBKpXj27JmyRiLKvQzrN5ARMLRf2pR78LNFlHfwfzsREZGeMXyJiIj0jOFLRESkZwzfPOLly5fo3r07nJ2dYWVlhYoVK+LatWsZLu/v7w+JRAKJRAJTU1M4OjqiZs2amDFjBiIjI9MsHxoair59+yrvBC9atChGjRqFd+/eqSzXoEED5XY//0pOTtb6eyYiMlQM3zzgw4cPqFOnDqRSKQ4fPox79+5h0aJFcHR0zHQ9e3t7hIWF4cWLF7hw4QIGDhyIX3/9FT4+Pnj16pVyucePH6NatWp49OgRdu7ciZCQEKxduxYnTpyAr68v3r9/r7LdAQMGICwsTOXLzIw33hNR3sHfeHnAvHnz4OHhgS1btijnFS9ePMv1JBIJXF1dAQBubm7w8vJCmzZtUL58eUycOBG//fYbAGDYsGEwNzfHsWPHYGVlBQAoUqQIKleujJIlS2LKlClYs2aNcrvW1tbK7RIR5UUM3xyq1nIdwt/E6Gz7gkKAxCRtZx6uLra4dmiQWts4cOAAmjVrhk6dOuH06dMoVKgQhg4digEDBmhcT4ECBdCtWzds3rwZcrkckZGROHr0KGbNmqUMXmWNrq7o1q0bdu/ejdWrVxtkr1JERGJg+OZQ+JsYvAyPFruMTD1+/Bhr1qzB2LFj8cMPP+Dq1asYOXIkzM3N0atXL4235+npiejoaLx79w5PnjyBIAjw8vJKd1kvLy98+PABb968QYECBQAAq1evxsaNG5XLDBo0CIsWLcremyMiMkIM3xxydbHV6fYzO/JVl0KhQLVq1TB79mwAQOXKlXHnzh2sXbs2W+ErCAIA1QGjU+epo1u3bpgyZYpyOl++fBrXQERkzBi+OaTuqd/sUCgUiIqKgr29fY56P3Jzc0O5cuVU5nl5eeHPP//M1vaCg4Nhb28PZ2dnmJiYQCKRIDg4GF9//XW6yzo6OsLFxUU5z8HBAaVKlcrWvomIcgPe7ZwH1KlTBw8ePFCZ9/DhQxQtWlTjbUVERGDHjh1o3749TExM4OzsDD8/P6xevRrx8fEqy4aHh2P79u3o0qULr/cSkUGKjQUkkpSv2Fj97ddow3fu3LmQSCQYPXq0cl5CQgKGDRsGZ2dn2NraomPHjnj9+rV4RRqIMWPG4NKlS5g9ezZCQkKwY8cOrF+/HsOGDct0PUEQEB4ejrCwMAQHB2Pz5s2oXbs2HBwcMHfuXOVyK1euRGJiIpo1a4YzZ84gNDQUR44cgZ+fHwoVKoRZs2bp+i0SERkVowzfq1evYt26dfD29laZP2bMGBw8eBB79uzB6dOn8erVK3To0EGkKg1H9erVsW/fPuzcuRMVKlTAL7/8gqVLl6Jbt26ZrhcVFQU3NzcUKlQIvr6+WLduHXr16oWbN2/Czc1NuVzp0qVx7do1lChRAp07d0bJkiUxcOBANGzYEBcvXoSTk5Ou3yIRkVExumu+MTEx6NatGzZs2ICZM2cq50dGRmLTpk3YsWMHGjVqBADYsmULvLy8cOnSJdSqVUuskg1C69at0bp1a7WX7927N3r37q328kWLFoW/v3+WywUGBqq9TSKi3MrownfYsGFo1aoVmjRpohK+169fh0wmQ5MmTZTzPD09UaRIEVy8eDHD8E1MTERiYqJyOioqCgAgk8kgk8mU82UyGQRBgEKhgEKh0PbbSlfqHcSp+6WcMfT2VCgUEAQBMpkMpqamYpeTpdT/H5//P6GcYZtqlzrtmfKSVLlcTppek5+bUYXvrl27cOPGDVy9ejXNa+Hh4TA3N0/z2ErBggURHh6e4TbnzJmD6dOnp5l/7NgxWFtbK6fNzMzg6uqKmJgYJCUlZf9NZEN0tGE/R2xsDLU9k5KSEB8fjzNnzhhVX9cBAQFil5DrsE21K7U9ExLS/lGbMq8FAOCvv47D0lKeZpn05qUnLi5O7ZqMJnxDQ0MxatQoBAQEwNLSUmvbnTx5MsaOHaucjoqKgoeHB5o2bQp7e3vl/ISEBISGhsLW1lar+8+MIAiIjo6GnZ0d7xbWAkNvz4SEBFhZWaFevXp6+4zlhEwmQ0BAAPz8/CCVSsUuJ1dgm2rXl+1pbp55m/bu3SLd+UlJ6h3Rpp45VYfRhO/169cRERGBKlWqKOfJ5XKcOXMGK1euxNGjR5GUlISPHz+qHP2+fv06036ELSwsYGFhkWa+VCpV+fDL5XJIJBKYmJjk6JlbTaSeGk3dL+WMobdn6jPTX372DJ2x1WsM2KbaldP2VHddTfZhNOHbuHFj3L59W2Venz594Onpie+//x4eHh6QSqU4ceIEOnbsCAB48OABnj9/Dl9fXzFKJiIiAxKTTjf8gcE30bp6ZQBAWJgCdnb6+cPcaMLXzs4OFSpUUJlnY2MDZ2dn5fx+/fph7NixcHJygr29PUaMGAFfX988f6czEREBNjZp5zXwqqz83s7OJN1ldMFowlcdS5YsgYmJCTp27Kjs9GH16tVil0VERKTCqMP3y2dGLS0tsWrVKqxatUqcgoiIyOCdCjmHeiV8YWoi3iN9hnfXCRERkY6cfXIJTTZ0Qr017XA/4pFodTB8iYgoT4hLikO/38dAEARcfHYNh++fFK0Whm8esGbNGnh7e8Pe3h729vbw9fXF4cOHM11n2rRpkEgkkEgkMDMzQ/78+VGvXj0sXbpUpUewVHfv3kXnzp3h4uICCwsLlClTBlOnTk3z0HmxYsWU2039Kly4sFbfLxFRen48Og8h754AAHyLVsPIuv1hYwMIQsqXvm62Ahi+eULhwoUxd+5cXL9+HdeuXUOjRo3Qrl073L17N9P1ypcvj7CwMDx//hynTp1Cp06dMGfOHNSuXVull6hLly6hZs2aSEpKwj///IOHDx9i1qxZ8Pf3h5+fX5oewWbMmIGwsDDl182bN3XyvomIUl14ehXLzq0HAFiYWWBzp6WiXvM16huuSD1t2rRRmZ41axbWrFmDS5cuoXz58hmul9qlJgC4u7ujYsWK8PPzQ6VKlTBv3jzMnDkTgiCgX79+8PLywt69e5WdVxQtWhRlypRB5cqVsWTJEnz//ffK7drZ2WXa8QkRkTbFy+LR9/fRyv7dZzSdiLIFSolaE8NXCxafWYslZ9dluVwV94r4q8+vKvPabemJG69up7+CACgEBUwkJhhTbxDG1huc41rlcjn27NmD2NjYbHU+4unpiRYtWmDv3r2YOXMmgoKCcO/ePezYsSNNr1GVKlVCkyZNsHPnTpXwJSLSpxknFuPh2/8AADWLVNHK79KcYvhqQVRCNF5GhmW5nIeDe5p5b2LfqbVuVELOBgO4ffs2fH19kZCQAFtbW+zbtw/lypXL1rY8PT1x7NgxAMDDhw8BAF5eXuku6+XlhXPnzqnM+/777/Hjjz8qp2fPno2RI0dmqxYiosw8iH6MpbdTTjebm5pjU6clop5uTsXw1QJ7SzsUcnDLcjkXG+d052W47mdHvvaWdjmqsWzZsggKCkJkZCT++OMP9OrVC6dPn85WAAuCkGZggtTTOeqYMGGCyljB+fPn17gGIqKsJMgSsOLRViiElH7dpzWdgHIFy4pcVQqGrxaMrTc426cxvjwN/TmFQoGoqCjY29vneCAAc3NzlCqVco2jatWquHr1KpYtW4Z167I+Xf6l4OBgFC9eHABQpkwZ5bzKlSunu2zqMqny58+vrIWISFcUggCffF54GR+OaoUrYXy9IWKXpMS7nfMohUKR7iNDWbl//z6OHDmiHLzCx8cHnp6eWLJkSZoB6v/9918cP34cXbt21UrNRESasDa3Qv8S3yKg/+/Y0nkZzEwN53jTcCohnZk8eTJatGiBIkWKIDo6Gjt27EBgYCCOHj2a6XrJyckIDw+HQqHAu3fvEBgYiJkzZ8LHxwcTJkwAkDI836ZNm+Dn54eOHTti8uTJcHV1xeXLlzFu3Dj4+vpi9OjReniXRETpq1fc1+CGaGT45gERERHo2bMnwsLC4ODgAG9vbxw9ehR+fn6Zrnf37l24ubnB1NQUDg4OKFeuHCZPnowhQ4aojIFcu3ZtXLp0CdOnT0eLFi0QHR2NIkWKoFevXpg8eXK64yUTEelKdEIM7CxtxS4jUwzfPGDTpk0arzNt2jRMmzZN7eUrVqyIP/74I8vlnj59qnEtRETquvnyNhqv/wYzmk7EgGrdxS4nQwxfIiLKFWRyGfrtGYOP8ZEY+dcUmEnM4IZ8YpeVLt5wRUREucK8wJUIenUHAFDR1Qs9Kn8jckUZY/gSEZHRuxt+H78cXwwAMDUxxebOS2FuZi5yVRlj+BIRkVFLliej757RkMllAIDx9YeiauFKIleVOYYvEREZtaXn1uNqaBAAoKxLKfzcZJy4BamB4UtEREbr4Zv/MPXofAD/73eg0xJYSi1FriprDF8iIjJKCoUC/faMQUJyAgBgVN2BqF2sushVqYfhK6J4WbzYJRARGa3nH1/g+ceXAICSzsUws5nxDF3K8BXJmWdn4DzfGWefnRW7FCIio1TMqQhujw3EwJo9seGbRbA2txa7JLUxfEUy5eQUxCfHY8rJKWKXIrrAwEBIJBJ8/PhR7FKIyMjYW9phbcf5aFCyjtilaIThK4LAp4E49zxlgPmzz88i8GmgTvfXu3dvtG/fXqf7ICIi9TF8RfDTqZ9gKjEFAJhKTDH11FSRKyIiMg6hH1+i07Z+eP7hhdil5AjDV89Sj3rlghwAIBfkejn6zcjixYtRsWJF2NjYwMPDA0OHDkVMTIzy9WnTpsHHx0dlnaVLl6JYsWLK6dQj64ULF8LNzQ3Ozs4YNmwYZDKZcpnExER8//338PDwgIWFBUqVKpVmwIfr16+jWrVqsLa2Ru3atfHgwQOdvGciMk6CIGDwnxPw5+1/UGFRfZwKOSd2SdnG8NWzz496U4l59GtiYoLly5fj7t272Lp1K06ePImJEydqvJ1Tp07hv//+w6lTp7B161b4+/vD399f+XrPnj2xc+dOLF++HMHBwVi3bh1sbVWH/JoyZQoWLVqEa9euwczMDH379s3p2yOiXGTbjT04/OAkgJRrvZULVRS5ouzjqEZ69Pm13s99fvTboFgDvdb0+UD3xYoVw8yZMzF48GCsXr1ao+04Ojpi5cqVMDU1haenJ1q1aoUTJ05gwIABePjwIX7//XcEBASgSZMmAIASJUqk2casWbNQv359AMCkSZPQqlUrJCQkwNLS8B+YJyLdCot6jdEHflJOr+0wH/msHESsKGd45KtH6R31phLr6Pf48eNo3LgxChUqBDs7O/To0QPv3r1DXFycRtspX748TE0/vTc3NzdEREQAAIKCgmBqaqoM1ox4e3urrA9AuQ0iyrsEQcDQfd/jY3wkAKBb5Y5oXa6pyFXlDMNXT7681vslMa79Pn36FK1bt4a3tzf+/PNPXL9+HatWrQIAJCUlAUg5LS0Igsp6n1/LTSWVSlWmJRIJFAoFAMDKykqtej7fhkQiAQDlNogo7/r937/w190jAIACtvmxtO0vIleUcwxfPcnsqDeVvo9+r1+/DoVCgUWLFqFWrVooU6YMXr16pbKMi4sLwsPDVQI4KChIo/1UrFgRCoUCp0+f1kbZRJSHvIl5ixF//aCcXvX1XDjbOIlYkXbwmq8eZHSt90u6vPYbGRmZJjTz588PmUyGFStWoE2bNjh//jzWrl2rskyDBg3w5s0bzJ8/H9988w2OHDmCw4cPw97eXu19FytWDL169ULfvn2xfPlyVKpUCc+ePUNERAQ6d+6sjbdHRLnUyL+m4G3sewDANxVbo2PF1iJXpB088tUDdY56U+nq6DcwMBCVK1dW+dq2bRsWL16MefPmoUKFCti+fTvmzJmjsp6XlxdWr16NVatWoVKlSrhy5QrGjx+v8f7XrFmDb775BkOHDoWnpycGDBiA2NhYbb09IsqFroUGYfe/fwEAnKwdsaL9nCzWMB4S4csLenlcVFQUHBwcEBkZqXJ0l5CQgCdPnqB48eIa3X0b+DQQDbc21LiOU71OoV6ReoiKioK9vT1MTPh3Uk4pFAqDbs/sfsbEIpPJcOjQIbRs2TLNNX/KHrZpWn/fO4bBeydiXsuf0K1KR43W1Xd7ZpQf6eFpZx376dRPkEACAer/jSOBBFNPTUVgr0DdFUZEZARal2uK+yXrwMaIBk1QB8NXh2KTYnH5xWWNghcABAi49OIS4mSaPe5DRJQb2VrYiF2C1jF8dcjG3AYvx75EZGKkxus6WDjAWmqNqPgoHVRGRGSYIuOjcPjBSXSp1E75yGFuxPDVMRcbF7jYuGRrXT7jSkR5zcRDv2DD5W3YfuMPrOu4EO4OrmKXpBOGd9cJERHlSScencWGy9sAAKcfX4RMkbZDn9yC4UtERKKLSYzFwD/HKafntvwRRR09RKxItxi+REQkuh+OzMaT988BAPWK18LgWr1Erki3GL76EB+v2+WJiIzY2SeXsPJ8yvjeVlIrbOy0xCCfxdem3P3uDMGGDYC3NxAaqt7yoaEpy2/YoNu6iIgMQLwsHv33jFVOz2w2CaXyFxexIv1g+OpSfDwwfz4QEgI0aJB1AIeGpiwXEpKyHo+ARePv7498+fIpp6dNmwYfHx/R6iHKrX4+tgCP3j4GANQqUhUj6/YXuSL9YPjqkpUVcPIkUKIE8Phx5gGcGryPH6csf/Jkyvpa8vLlS3Tv3h3Ozs6wsrJCxYoVce3atQyX9/f3h0QigUQigampKRwdHVGzZk3MmDEDkZFpn1sODQ1F37594e7uDnNzcxQtWhSjRo3Cu3fvVJZr0KCBcruffyUnJ2dYx+chKJbx48fjxIkTYpdBlKtceX4Di8+kDOZibmqOTZ2WwNREvX7wjR3DV9c8PIDAwMwD+MvgDQxMWU9LPnz4gDp16kAqleLw4cO4d+8eFi1aBEdHx0zXs7e3R1hYGF68eIELFy5g4MCB+PXXX+Hj46My9ODjx49RrVo1PHr0CDt37kRISAjWrl2LEydOwNfXF+/fv1fZ7oABAxAWFqbyZWZm2I+c29rawtnZWewyiHKV4k5F0Nm7LQDgZ7/x8CpYRuSK9Ifhqw+ZBbCOgxcA5s2bBw8PD2zZsgU1atRA8eLF0bRpU5QsWTLT9SQSCVxdXeHm5gYvLy/069cPFy5cQExMDCZOnKhcbtiwYTA3N8exY8dQv359FClSBC1atMDx48fx8uVLTJkyRWW71tbWcHV1VfnKriNHjqBu3brIly8fnJ2d0bp1a/z333/K158+fQqJRIK9e/eicePGcHd3R+XKlXHx4kWV7fj7+6NIkSKwtrbG119/neaI/cvTzr1790b79u2xcOFCuLm5wdnZGcOGDYNM9um5xLCwMLRq1QpWVlYoXrw4duzYgWLFimHp0qXZfr9EuYmLbX7s6LYWR/rvwvj6Q8QuR68YvvqSXgBfuKDz4AWAAwcOoFq1aujUqRMKFCiAypUrY0M2b+gqUKAAunXrhgMHDkAul+P9+/c4evQohg4dCqsvTpO7urqiW7du2L17N3Q1eFZsbCzGjh2La9eu4cSJEzAxMcHXX3+dpnewKVOmYOzYsThz5gxKly6Nrl27Kk91X758Gf369cPw4cMRFBSEhg0bYubMmVnu+9SpU/jvv/9w6tQpbN26Ff7+/vD391e+3rNnT7x69QqBgYH4888/sX79ekRERGj1/RPlBk3LNIDUNG+N4sTw1acvA7hOHZ0HL5ByWnjNmjUoXbo0jh49iiFDhmDkyJHYunVrtrbn6emJ6OhovHv3Do8ePYIgCPDy8kp3WS8vL3z48AFv3rxRzlu9ejVsbW2VX+PGjUt3XXV07NgRHTp0QKlSpeDj44PNmzfj9u3buHfvnspy48ePR6tWrVCqVClMmzYNz549Q0hICABg2bJlaN68OSZOnIgyZcpg5MiRaNasWZb7dnR0xMqVK+Hp6YnWrVujVatWyuvC9+/fx/Hjx7FhwwbUrFkTVapUwcaNGxHPm+goj5PJZXgT81bsMkTH8NU3Dw9g2zbVedu26Sx4gZQ+oqtUqYLZs2ejcuXKGDhwIAYMGIC1a9dma3upR7Gfd3quyZFtt27dEBQUpPyaPHlytuoAgEePHqFr164oUaIE7O3tUaxYMQDA8+fPVZbz9vZWfu/m5gYAyqPQ4OBg1KxZU2V5X1/fLPddvnx5mJp+ujnEzc1Nuc0HDx7AzMwMVapUUb5eqlSpLK+zE+V2C06vRvlF9bAraL/OzogZA4avvoWGAj16qM7r0UP954Czwc3NDeXKlVOZ5+XllSag1BUcHAx7e3s4OzujVKlSkEgkCA4OznBZR0dHuLh8GlzCwcEBpUqVUn7lz58/W3UAQJs2bfD+/Xts2LABly9fxuXLlwEASUlJKst9PpB26h8NOR244svBuSUSCQfDIMrE/YhHmBGwCG9j36P7zqHKR4zyIoavPn15c9X58+o9hpRDderUwYMHD1TmPXz4EEWLFtV4WxEREdixYwfat28PExMTODs7w8/PD6tXr05zSjU8PBzbt29Hly5ddDI02Lt37/DgwQP8+OOPaNy4sfIUt6a8vLyUoZ3q0qVLOaqtbNmySE5Oxs2bN5XzQkJCslUfUW6gUCgw4I9xSJKn/GE8tt5glHHJ/KbP3Mywn+/ITTK6qzkw8NP8Bg10cu13zJgxqF27NmbPno3OnTvjypUrWL9+PdavX5/peoIgIDw8HIIg4OPHj7h48SJmz54NBwcHzJ07V7ncypUrUbt2bTRr1gwzZ85E8eLFcffuXUyYMAGFChXCrFmzclS/XC5HUFCQyjwLCwuULVsWzs7OWL9+Pdzc3PD8+XNMmjRJ4+2PHDkSderUwcKFC9GuXTscPXoUR44cyVHNnp6eaNKkCQYOHIg1a9ZAKpVi3LhxsLKyytVjlBJlZM0lf5x/egUAUMq5OKb5jRe5InHxyFcfMnucSJ3ngHOoevXq2LdvH3bu3IkKFSrgl19+wdKlS9GtW7dM14uKioKbmxsKFSoEX19frFu3Dr169cLNmzeV100BoHTp0rh27RpKlCiBzp07o2TJkhg4cCAaNmyIixcvwsnJKUf1x8TEoHLlyipfbdq0gYmJCXbt2oXr16+jQoUKGDNmDBYsWKDx9mvVqoUNGzZg2bJlqFSpEo4dO4Yff/wxRzUDwK+//oqCBQuiXr16+PrrrzFgwADY2dnB0tIyx9smMibPP7zA5EOf/ghf/81CWJtbi1iRARBIRWRkpABAiIyMVJkfHx8v3Lt3T4iPj9dsg8+fC0KJEoIApPz7/Lnay8nlcuHDhw+CXC7P5ruhz4ndnqGhoQIA4fjx4+m+nu3PmEiSkpKE/fv3C0lJSWKXkmvkxjZVKBRCy41dBcmEgoJkQkFh4B/j9bZvfbdnRvmRHp521qX4eKBRI/UeJ/ryFHSjRsAXp1rJuJw8eRIxMTGoWLEiwsLCMHHiRBQrVgz16tUTuzQivdlxcy8OPzgJAHC3d8X8lj+JXJFh4GlnXbKyAiZOBEqVUu9abmoAlyqVsp4W+3Ym/ZPJZPjhhx9Qvnx5fP3113BxcUFgYGCau6SJcqs3MW8x+sCnsF399Tw4WNmLWJHh4JGvrg0YAHTvrn6QengAt26lLM/HVoxas2bN1Oqsgyi3uvf6IRRCyu+xzt5t0bY8/z+k4pGvPmh6BMsjXiLKBeqXrI1748+iT/WuWNYuZ0895DY88iUiIp0paOeCTZ2WiF2GweGRLxERkZ4xfImISGvOPL6InruG423su6wXzsMYvkREpBXxsngM+GMcfrvxB8ovrIeHb/7LeqU8iuErgthYQCJJ+YqNFbsaIiLtmB6wSDlYQun8JVDSuZi4BRkwhi9ROqZNmwYfHx/ldO/evdG+fXvR6iEydDde3MKiM2sAAOam5tjwzSKYmphmsVbexfDNA9asWQNvb2/Y29vD3t4evr6+OHz4cKbrTJs2DRKJBBKJBGZmZsifPz/q1auHpUuXIjExMc3yd+/eRefOneHi4gILCwuUKVMGU6dORVxcnMpyxYoVU2439atw4cKZ1vF5CIpl2bJl8Pf3F7sMIoMkk8vQ/4+xkCvkAIAfm4yBV8EyIldl2Bi+eUDhwoUxd+5cXL9+HdeuXUOjRo3Qrl073L17N9P1ypcvj7CwMDx//hynTp1Cp06dMGfOHNSuXRvR0dHK5S5duoSaNWsiKSkJ//zzDx4+fIhZs2bB398ffn5+acbWnTFjBsLCwpRfnw+7Z6gcHByQL18+scsgMkgLT69B0Ks7AICKrl6YWH+YyBUZPoZvHtCmTRu0bNkSpUuXRpkyZTBr1izY2tpmOWatmZkZXF1d4e7ujooVK2LEiBE4ffo07ty5g3nz5gFIGXawX79+8PLywt69e1GjRg0ULVoUnTp1wsGDB3Hx4kUsWaL6jJ+dnR1cXV2VXy4uLtl+b9u2bUO1atWU2/zuu+8QERGhfD0wMBASiQQnTpxAjRo14O7ujrp166YZ33ju3LkoWLAg7Ozs0K9fPyQkJKi8/uVp5wYNGmDkyJGYOHEinJyc4OrqimnTpqmsc//+fdStWxeWlpYoV64cjh8/DolEgv3792f7/RIZmgcRIZhxfBEAwERigo2dFsPczFzkqgwfw1fHYmPT/1L3dW2Ty+XYtWsXYmNj4evrq/H6np6eaNGiBfbu3QsACAoKwr179zB27FiYmKh+nCpVqoQmTZpg586dWqk9PTKZDL/88gv+/fdf7N+/H0+fPkXv3r3TLDdlyhQsWLAAJ0+ehJmZGfr27at87ffff8e0adMwe/ZsXLt2DW5ubli9enWW+966dStsbGxw+fJlzJ8/HzNmzEBAQACAlHZu3749rK2tcfnyZaxfvx5TpkzR2vsmMgQKhQID/hiHxOSUS1GjvxqI6h6VRa7KOLCHKx2ztc389YIF058vCNqt4/bt2/D19UVCQgJsbW2xb98+lCtXLlvb8vT0xLFjxwAADx8+BAB4eXmlu6yXlxfOnTunMu/7779XGS939uzZGDlyZLZq+TxES5QogeXLl6N69eqIiYmB7WeNP2vWLNSvXx9RUVGYOHEi2rRpg4SEBFhaWmLp0qXo168f+vXrBwCYOXMmjh8/nubo90ve3t74+eefAaSMabxy5UqcOHECfn5+CAgIwH///YfAwEC4uroqa/Dz88vW+yQyRAfuHcW5p5cBACWcimJG04kiV2Q8eOSbR5QtWxZBQUG4fPkyhgwZgl69euHevXvZ2pYgCJBIJGnmqWvChAkICgpSfvXs2TNbdQDA9evX0aZNGxQpUgR2dnaoX78+AOD58+cqy3l7eyu/d3NzAwDl6eng4GDUrFlTZXl1zgp8vs3U7aZu88GDB/Dw8FAGLwDUqFFD3bdFZBTalW+OzZ2XwsnaEeu/WQRrc2uxSzIaPPLVsZiYtPNiYz8d8b5+DdjY6L4Oc3NzlCpVCgBQtWpVXL16FcuWLcO6des03lZwcDCKFy8OAChTpoxyXuXKaU83BQcHK5dJlT9/fmUtOREbG6scOWj79u1wcXHB8+fP0axZszQ3eX0+jF/qHw6KHI4a9eXQgBKJJMfbJDImEokEvat9i44VWsPOMovTfKSCR746ZmOT/pe6r+uKQqFI95GhrNy/fx9HjhxBx44dAQA+Pj7w9PTEkiVL0gTPv//+i+PHj6Nr165aqTm9Wt69e4e5c+fiq6++gqenp8rNVury8vLC5cuXVeZldTNaVsqWLYvQ0FC8fv1aOe/q1as52iaRoWLwao5HvnnA5MmT0aJFCxQpUgTR0dHYsWMHAgMDcfTo0UzXS05ORnh4OBQKBd69e4fAwEDMnDkTPj4+mDBhAoCUv3w3bdoEPz8/dOzYEZMnT4arqysuX76McePGwdfXF6NHj85R/fHx8QgKClKZZ2dnhyJFisDc3BwrVqzA4MGDcefOHfzyyy8ab3/UqFHo3bs3qlWrhjp16mD79u24e/cuSpQoke2a/fz8ULJkSfTq1Qvz589HdHS08jr3l6fsiYzJ29h3uP7iFpqVbSh2KUbNaI58s+ooIiEhAcOGDYOzszNsbW3RsWNHlaOOvCwiIgI9e/ZE2bJl0bhxY1y9ehVHjx7N8uafu3fvws3NDUWKFEGDBg3w+++/Y/LkyTh79qzKzUy1a9fGpUuXYGpqihYtWqBUqVKYPHkyevXqhYCAAFhYWOSo/ocPH6Jy5coqX4MGDYKLiwv8/f2xZ88elCtXDnPnzsXChQs13n6XLl3w008/YeLEiahatSqePXuGIUOG5KhmU1NT7N+/HzExMahevTr69++vvNvZ0tIyR9smEtOYA1PRYlNX9No1HO/jPohdjtGSCJrcKSOigwcPwtTUFKVLl4YgCNi6dSsWLFiAmzdvonz58hgyZAj++ecf+Pv7w8HBAcOHD4eJiQnOnz+v0X6ioqLg4OCAyMhI2NvbK+cnJCTgyZMnKF68eI5/ecbGfroLOiYm49PMCoUCUVFRsLe3T/MYD2lO7PY8f/486tati5CQEJQsWTLN69r8jOmDTCbDoUOH0LJlyzTXvyl7DL1NDwUfR+st3QEAjlb5cHf8GbjaFRC5qozpuz0zyo/0GM1p5zZt2qhMz5o1C2vWrMGlS5dQuHBhbNq0CTt27ECjRo0AAFu2bIGXlxcuXbqEWrVqiVEy5XH79u2Dra0tSpcujZCQEIwaNQp16tRJN3iJDF1MYiyG7PteOb2ozTSDDl5DZzTh+zm5XI49e/YoO4q4fv06ZDIZmjRpolzG09MTRYoUwcWLFzMN38TERJUbj6KiogCk/MUkk8mU82UyGQRBgEKhyPEdrVZWgFz+aTqjzaWelEjdL+WMvtszMjIS33//PZ4/f478+fOjcePGWLhwYYb7VigUEAQBMpkMpqaG3yF96v+Pz/+fUM4Ycpv+cHg2Qj++BAA0KvkVvvPuYJB1fk7f7anJfowqfDPqKCIoKAjm5uZp+t4tWLAgwsPDM93mnDlzMH369DTzjx07BmvrT8+spXa1GBMTk+YxFl37vB9lyjl9tWf79u3THQkp9Q+8LyUlJSE+Ph5nzpxBcnKyjqvTntRevUh7DK1NH0Y/wapbmwEA5iZSdMrXLMvBWQyJvtrzy4FkMmNU4ZvaUURkZCT++OMP9OrVC6dPn87RNidPnoyxY8cqp6OiouDh4YGmTZumueYbGhoKW1tbvV2PEwQB0dHRsLOz4x2yWmDo7ZmQkAArKyvUq1fPaK75BgQEwM/PzyCvTxojQ2xTmVyGqatbQUDKmaNpTSei71e9RK5KPfpuz4z+sE6PUYVvRh1FdOnSBUlJSfj48aPK0e/r169VehhKj4WFRbp340qlUpUfllwuVw6Bp6+bdVJPT+pzn7mZobdn6ufry8+eoTO2eo2BIbXp4nNrcTs8GADg414B4+sPgZmpUUWH3tpTk30Y3m8gDaR2FFG1alVIpVKcOHFC+dqDBw/w/PnzbA0ekJ7URtXktAKRJlI/W4byS5co5O0TTA/4NGLR+o4LjS54DZXRtGJmHUU4ODigX79+GDt2LJycnGBvb48RI0bA19dXa3c6m5qaIl++fMoelKytrXV+6lKhUCApKQkJCQkGeaRmbAy1PQVBQFxcHCIiIpAvXz6juNmK8gYzE1PUKVYdJ0LOYmTdAajm4SN2SbmG0YRvakcRYWFhcHBwgLe3t0pHEUuWLIGJiQk6duyIxMRENGvWTK1h4TSRego7O10YZocgCIiPj4eVlZVBXqM0Nobenvny5cvyMgmRPhVzKoJjA37HrqD9aFOuqdjl5CpGE76bNm3K9HVLS0usWrUKq1at0lkNEokEbm5uKFCggF5uXZfJZDhz5gzq1avHU5FaYMjtKZVKecRLBkkikaBr5a/FLiPXMZrwNSSmpqZ6+UVpamqK5ORkWFpaGlxYGCO2J5F6kpKTYG5mLnYZuZrhXPgiIiLRHX1wCl4L6+LYw0CxS8nVGL5ERAQAiE2KxZC9E/Hk/XM03/gtAv/TrG98Uh/Dl4iIAAA/H1uApx9CAQANS9ZB/RK1Ra4o92L4EhERbry4haVn1wMALMwssLbDAoN8KiC3YPgSEeVxyfJkDPhjHBRCSi9wPzUZi9IuJUSuKndj+BIR5XHLzm3AzVe3AQAVXD0xof5QkSvK/Ri+RER52JP3z/DzsfkAUp7p3fDNYkhN+SierjF8iYjyKEEQMHTvJMTJ4gEAw2r3Rc0iVUSuKm9g+BIR5VEP3oTg9OOLAIDCDu6Y1WyyyBXlHQxfIqI8yrNAadweF4gmpeth1ddzYWdpK3ZJeQa7lyQiysNKOhfD0f67+ViRnvHIl4goj2Pw6h/Dl4goD0mQJWDuqRWITYoVu5Q8jeFLRJSHzD21Aj8cnoUKi+rj7JNLYpeTZzF8iYjyiEdvHmPuqRUAgJeR4XC0chC5oryL4UtElAcIgoBh+ychSZ4EABhbbzAquHqJXFXexfAlIsoDdgXtx/FHZwAARR0L46cmY0SuKG9j+BIR5XIf4yMx9uBU5fTydrNhY24jYkXE8CUiyuWmHJmD1zFvAADty7dAm3JNRa6IGL5ERLnYlec3sPbSVgCAjbk1lrb9ReSKCGD4EhHlWsnyZAzZ+z0EQQAA/Ow3HkUcC4tcFQEMXyKiXK2LTztYSa1Q0dULo+oOELsc+j/27UxElEuZmZphYoPh6FKpHSITojlOrwFh+BIR5XJFHT3ELoG+wNPORES5TIIsQewSKAsMXyKiXCReFg+fJY0x9uDPiE6IEbscygBPOxMR5SKzTy7Hw7f/4eHZ/xAWFY6d3daJXRKlg0e+RES5xP2IR5gfuBIAIDWVYmqTcSJXRBlh+BIR5QKCIGDo3u8hk8sAAOPrD4VXwTIiV0UZYfgSEeUCv934A4GPLwAAijsVwZRGo0SuiDLD8CUiMnIf4j5i/N/TlNMr2s2Gtbm1eAVRlhi+RERGbvLh2XgT+w4A8E3F1mjp1UTkiigrDF8iIiN26dl1rL/8KwDA1twGSzhwglFg+BIRGbHVF7cov5/R7HsUcnATsRpSF5/zJSIyYps7LUWVQt7Yd+cQhtfuK3Y5pCYe+RIRGTEzUzOM/mogAgfvg5kpj6eMBcOXiCgXkEgkYpdAGmD4EhEZmTOPL+L6i3/FLoNygOFLRGRE4pLi0Hv3SNRc0QIj9v+AxOREsUuibOAFAiIiIzLzxFI8/RAKAAiOeAhzU3ORK6Ls4JEvEZGRuBt+HwtPrwYAmJuaY1X7ubzWa6QYvkRERkAQBAzdNwnJimQAwMQGw1C2QCmRq6LsYvgSERmBrdd34+yTSwCAks7FMLnRSJEropxg+BIRGbh3se8x4e8ZyumV7efASmolYkWUUwxfIiID9/2hmXgX9x4A0Nm7LZqVbShyRZRTDF8iIgN2/ukVbL66AwBgZ2GLxW1mZLEGGQOGLxGRAbM1t0G1wpUAADObT4K7g6vIFZE28DlfIiIDVsm9PC4OP4SdQfvQ1edrscshLWH4EhEZOFMTU3Sv8o3YZZAW8bQzEZEBkivkYpdAOsTwJSIyMAfuHUW1ZU1x6dl1sUshHWH4EhEZkHh5Asb+PRX/ht1FndWtcTX0ptglkQ4wfImIDMjvof8gNPIVAKBJqXqoVthH3IJIJxi+REQG4k54MA68PA4AsDCzwMr2czhwQi7F8CUiMgAKhQIjDkyBAgoAwKSGI1DapYTIVZGuMHyJiAzAlmu7cOHZVQBAKefi+L7BcJErIl1i+BIRiexNzFt8f+gX5fTytrNgKbUUsSLSNYYvEZHIJvwzHe/jPgAA6uWvgcalvhK5ItI1hi8RkYievH+GHTf3AQDyWTqgd3H2ZJUXMHyJiERU3Kkoro48ihoelTGr2WQ4mjuIXRLpAft2JiISWSX38jg/7G8ky5Jx5MgRscshPeCRLxGRATA1MYWJCX8l5xX8SRMR6ZlCocCWqzuRlJwkdikkEoYvEZGebbyyHf32jEHVZX648vyG2OWQCBi+RER6FB4doXym9+7rB4hOjBW5IhIDw5eISI/GHpiKyIQoAECPKt+gcWk+05sXMXyJiPTkyIOT2PXvfgCAs7UTFraeJmo9JB6GLxGRHsQmxWLo3u+V0wtaT4WLbX4RKyIxMXyJiPRgxvHFePohFADQoERt9KraReSKSEwMXyIiHfv31V0sPrMWAGBuao41HeZznN48juFLRKRDcoUcg/4cD7lCDgD4odEolC1QSuSqSGwMXyIiHZIr5GhYqi7MTMzgWaA0vm/IcXrJiMJ3zpw5qF69Ouzs7FCgQAG0b98eDx48UFkmISEBw4YNg7OzM2xtbdGxY0e8fv1apIqJiABzM3PMaTEF10cF4NcuK2BhZiF2SWQAjCZ8T58+jWHDhuHSpUsICAiATCZD06ZNERv76QH1MWPG4ODBg9izZw9Onz6NV69eoUOHDiJWTUSUoqKbF6p5+IhdBhkIoxnV6MuRPvz9/VGgQAFcv34d9erVQ2RkJDZt2oQdO3agUaNGAIAtW7bAy8sLly5dQq1atcQom4jyqHhZPKykVmKXQQbKaML3S5GRkQAAJycnAMD169chk8nQpEkT5TKenp4oUqQILl68mGH4JiYmIjExUTkdFZXS84xMJoNMJtNV+WpJ3b/YdeQWbE/tYntm7E3sO9RY0QwDanTHhPrDIDWVqrUe21S79N2emuzHKMNXoVBg9OjRqFOnDipUqAAACA8Ph7m5OfLly6eybMGCBREeHp7htubMmYPp06enmX/s2DFYW1trte7sCggIELuEXIXtqV1sz7QWPdiIV9GvMf3EIvx7/zZ6Feuo0fpsU+3SV3vGxcWpvaxRhu+wYcNw584dnDt3Lsfbmjx5MsaOHaucjoqKgoeHB5o2bQp7e/scbz8nZDIZAgIC4OfnB6lUvb+cKWNsT+1ie6bvwL2jOHf+KgDAySoflveci4K2LmqtyzbVLn23Z+qZU3UYXfgOHz4cf//9N86cOYPChQsr57u6uiIpKQkfP35UOfp9/fo1XF1dM9yehYUFLCzS3n0olUoN5sNvSLXkBmxP7WJ7fvIh7iNGHpiinF7abiYKO7prvB22qXbpqz012YfR3O0sCAKGDx+Offv24eTJkyhevLjK61WrVoVUKsWJEyeU8x48eIDnz5/D19dX3+USUR407u9pCItOebyxlWcTdKus2elmyjuM5sh32LBh2LFjB/766y/Y2dkpr+M6ODjAysoKDg4O6NevH8aOHQsnJyfY29tjxIgR8PX15Z3ORKRzxx4Gwv/aLgCAvaUdu5CkTBlN+K5ZswYA0KBBA5X5W7ZsQe/evQEAS5YsgYmJCTp27IjExEQ0a9YMq1ev1nOlRJTXRCfEYNCf45XT81tOReF8mp9uprzDaMJXEIQsl7G0tMSqVauwatUqPVRERJRi8pFZePbhBQCgUam6GFCzu8gVkaEzmmu+RESGKC4pDqdCUp68sJZaYX3HRTzdTFkymiNfIiJDZG1ujeujAjDj+GK42xdECeeiYpdERoDhS0SUQ5ZSS8xu8YPYZZAR4WlnIiIiPWP4EhFp6F3se7Te3A33Xj/IemGidDB8iYg0IAgChu77Hofun0DVZU3x190jWa9E9AWGLxGRBnYG7cOeWwcBADbm1qjhUVnkisgYMXyJiNT04uMrDN8/WTm9+uu5cLMvKGJFZKwYvkREalAoFOi3Zww+xqeMJf6dTwd0rtRO5KrIWDF8iYjUsOaSPwIenQYAFHJww4r2s0WuiIwZw5eIKAsPIkIw8Z9flNObOy2Fo3U+8Qoio8fwJSLKRLI8Gb12j0C8LB4AMKx2X/iVqS9yVWTsGL5ERJk4//QKrr34FwBQJn9JzGv5o8gVUW7A8CUiykT9krVxesh+lHAqiq3froC1ubXYJVEuwL6diYiyUKdYDQRPOAepqVTsUiiX4JEvEZEaGLykTQxfIqIvrL+0DbNPLoNcIRe7FMqleNqZiOgzd8KDMfrAT0hITsDJkLM41HcHzM3MxS6Lchke+RIR/V9MYiw6/zYQCckJAIByBcsyeEknGL5ERPg0WtH9iEcAgEpu5TG/5U8iV0W5FcOXiAjApis78NuNPwAAdha2+L37BlhKLUWuinIrhi8R5Xn/vrqLkX9NUU5v+GYRSruUELEiyu0YvkSUp32Mj0Tn3wYor/MO8e3N0YpI5xi+RJRnKRQK9Ng5DI/ePgYAVCnkjUWtp4lbFOUJDF8iyrM+xH/Ey6hwAICTtSP29OB1XtIPhi8R5VnONk44N/QAelT5Bru6rUNxp6Jil0R5BDvZIKI8zdrcGlu/XSl2GZTH8MiXiPKUyPgoxCbFil0G5XEMXyLKMxQKBbrvHIraK1vjv3dPxS6H8jCGLxHlGdMCFuCf+8dxOzwYLTZ2RbI8WeySKI9i+BJRnrDvziHMPLEEAGAiMcHqDvNgZsrbXkgcDF8iyvX+fXUXvXaNUE7PbfkjmpSuJ2JFlNcxfIkoV3vx8RVab+mOmP/fZPVtpfYYV2+IyFVRXsfwJaJcKzohBm229MDLyDAAQK0iVbGp8xJIJBKRK6O8TqMLHh8/fsS+fftw9uxZPHv2DHFxcXBxcUHlypXRrFkz1K5dW1d1EhFpJFmejG+3D8S/YXcBAMWdimB/b39YSa1EroxIzSPfV69eoX///nBzc8PMmTMRHx8PHx8fNG7cGIULF8apU6fg5+eHcuXKYffu3bqumYgoSzuC9uLwg5MAAEerfPin73YUsHURuSqiFGod+VauXBm9evXC9evXUa5cuXSXiY+Px/79+7F06VKEhoZi/PjxWi2UiEgTPap0wuN3zzD31Ars7bkZngVKi10SkZJa4Xvv3j04OztnuoyVlRW6du2Krl274t27d1opjogouyQSCaY1nYDe1bqgmFMRscshUqHWaeesgjenyxMRaUNSclKaeQxeMkTZesL81atXOHfuHCIiIqBQKFReGzlypFYKIyLSxO2wYLTZ0h1bOi9Dw1J1xS6HKFMah6+/vz8GDRoEc3NzODs7q9yyL5FIGL5EpHeP3z1Ds41dEB4dgZabu+Fo/12oV8JX7LKIMqRx+P7000+YOnUqJk+eDBMTPiZMROIKi3qNphs6Izw6AgBQya0cqhTyFrkqosxpnJ5xcXH49ttvGbxEJLoPcR/RfOO3ePz+GQCgXMEy+Kfvdtha2IhcGVHmNE7Qfv36Yc+ePbqohYhIbbFJsWizpQduhwcDAIo6FsbR/rvhbOMkcmVEWdP4tPOcOXPQunVrHDlyBBUrVoRUKlV5ffHixVorjogoPYnJiei0rT8uPLsKAChgmx/H+v+OQg5uIldGpJ5she/Ro0dRtmxZAEhzwxURkS4lJifim1/74ciDUwAAe0s7HO63E6VdSohcGZH6NA7fRYsWYfPmzejdu7cOyiEiytzl5zdw5GFK8FpLrXCwzzZULlRR5KqINKPxNV8LCwvUqVNHF7UQEWWpXglf7Oq2Dg6W9vin73Z8VbyW2CURaUzj8B01ahRWrFihi1qIiNTSsWJrPJ50BfVLciQ1Mk4an3a+cuUKTp48ib///hvly5dPc8PV3r17tVYcEVFiciICHp5G63JNVeY7WucTpyAiLdA4fPPly4cOHTroohYiIhWpdzX/HRyAFe1nY1jtvmKXRKQVGofvli1bdFEHEZGKz4MXACYdmokOFVrBzb6gyJUR5Ry7qSIig/Nl8Fr9/65mBi/lFmqFb/PmzXHp0qUsl4uOjsa8efOwatWqHBdGRHlTesH7T9/f0KAkn7Kg3EOt086dOnVCx44d4eDggDZt2qBatWpwd3eHpaUlPnz4gHv37uHcuXM4dOgQWrVqhQULFui6biLKhRi8lFeoFb79+vVD9+7dsWfPHuzevRvr169HZGQkgJRercqVK4dmzZrh6tWr8PLy0mnBRJQ7MXgpL1H7hisLCwt0794d3bt3BwBERkYiPj4ezs7OaR43IiLS1MA/xqkE7999tjF4KdfK9g1XDg4OcHV1ZfASkVaMqjsQjlb5lMHbsFRdsUsi0hmNHzUiItKFKoW9ETDgd0QmRDF4Kddj+BKRKGRyGUwlpjAx+XQCrkphbxErItIfPudLRHqXlJyEb37th+F/TYZCoRC7HCK945EvEelVUnISOm3rj4PBxwAAlmaWWNxmushVEelXtsM3KSkJERERaf5qLVKkSI6LIqLc6cvgtZJaobWXn8hVEemfxuH76NEj9O3bFxcuXFCZLwgCJBIJ5HK51oojotwjKTkJnX8boBK8B/tsQyPeXEV5kMbh27t3b5iZmeHvv/+Gm5sbJBKJLuoiolwkNXgP3DsKgMFLpHH4BgUF4fr16/D09NRFPUSUyyQlJ6HL9oEMXqLPaHy3c7ly5fD27Vtd1EJEuUxq8P519wiAlOA90PtXBi/leWqFb1RUlPJr3rx5mDhxIgIDA/Hu3TuV16KionRdLxEZkY8JkQh+/QjAp+BtXPorkasiEp9ap53z5cuncm1XEAQ0btxYZRnecEVEXypg64KTg/5E6y3dsaDVzwxeov9TK3xPnTql6zqIKJdyd3DFtZHHVHqyIsrr1Arf+vXrK79//vw5PDw80tzlLAgCQkNDtVsdERmVpOQkzD+9CmO/GgRrc2vlfAYvkSqN/0cUL14cb968STP//fv3KF68uFaKIiLjk5SchK47BmPq0Xlo598LcUlxYpdEZLA0Dt/Ua7tfiomJgaWlpVaKIiLjkhq8++4cAgCcf3oVt8Pvi1wVkeFS+znfsWPHAgAkEgl++uknWFt/OqUkl8tx+fJl+Pj4aL1AIjJsSclJ6LlnhDJ4Lc0scaDPr6hZpIrIlREZLrWPfG/evImbN29CEATcvn1bOX3z5k3cv38flSpVgr+/vw5LBc6cOYM2bdrA3d0dEokE+/fvV3ldEARMnToVbm5usLKyQpMmTfDo0SOd1kSUl8kUyei+e1ia4G1Sup7IlREZNrWPfFPveO7Tpw+WL18OOzs7nRWVkdjYWFSqVAl9+/ZFhw4d0rw+f/58LF++HFu3bkXx4sXx008/oVmzZrh37x5PiRNpWVJyEhY92IDL74MAMHiJNKFR95IymQzbtm3DuHHjUKFCBV3VlKEWLVqgRYsW6b4mCAKWLl2KH3/8Ee3atQMA/PrrryhYsCD279+Pb7/9Nt31EhMTkZiYqJxO7ShEJpNBJpNp+R1oJnX/YteRW7A9tScpOQnf7RzyWfBaYG+PzahfzJftmwP8jGqXvttTk/1oFL5SqRRFihQxyI40njx5gvDwcDRp0kQ5z8HBATVr1sTFixczDN85c+Zg+vS0Y4keO3ZM5bq2mAICAsQuIVdhe+bcntBDOPg8ZXQicxMpJpUdgsSH0Tj08JDIleUO/Ixql77aMy5O/Tv8NR5YYcqUKfjhhx+wbds2ODk5abq6zoSHhwMAChYsqDK/YMGCytfSM3nyZOXNZEDKka+HhweaNm0Ke3t73RSrJplMhoCAAPj5+UEqlYpaS27A9tSeBkkNEbbtLc4/vYI/u21CU8+GYpeUK/Azql36bk9NuljWOHxXrlyJkJAQuLu7o2jRorCxsVF5/caNG5puUlQWFhawsLBIM18qlRrMh9+QaskN2J455yCVYl/PLVi3dzOaejZke2oZP6Papa/21GQfGodv+/btNV1FL1xdXQEAr1+/hpubm3L+69ev+QgUUQ7J5DJ8iP+IArYuynlWUiuUsWPHOkTZoXH4/vzzz7qoI8eKFy8OV1dXnDhxQhm2UVFRuHz5MoYMGSJucURGTCaXoev2wbgdHoxTg/bC3cFV7JKIjJ7G4Zvq+vXrCA4OBgCUL18elStX1lpRGYmJiUFISIhy+smTJwgKCoKTkxOKFCmC0aNHY+bMmShdurTyUSN3d3eDPVonMnSpwbv3zj8AgJabv8P1UQEwNTEVuTIi46Zx+EZERODbb79FYGAg8uXLBwD4+PEjGjZsiF27dsHFxSXzDeTAtWvX0LDhpxs7Um+U6tWrF/z9/TFx4kTExsZi4MCB+PjxI+rWrYsjR47wGV+ibPgyeC3NLDG/1VQGL5EWaNy384gRIxAdHY27d+/i/fv3eP/+Pe7cuYOoqCiMHDlSFzUqNWjQAIIgpPlK7VlLIpFgxowZCA8PR0JCAo4fP44yZcrotCai3Ci94N3f2x9NyzQQtzCiXELjI98jR47g+PHj8PLyUs4rV64cVq1ahaZNm2q1OCLSPwYvke5pfOSrUCjSvZ1aKpVCoVBopSgiEseXwWthZsHgJdIBjcO3UaNGGDVqFF69eqWc9/LlS4wZMwaNGzfWanFEpD/J8uQ0wftX760MXiId0Dh8V65ciaioKBQrVgwlS5ZEyZIlUbx4cURFRWHFihW6qJGI9MDUxBQF7PIDYPAS6ZrG13w9PDxw48YNHD9+HPfvpwyW7eXlpdKnMhEZH4lEglXt58LC1AItPBsxeIl0KFvP+UokEvj5+cHPz0/b9RCRiCQSCZa0nSF2GUS5ntrh++uvv6q1XM+ePbNdDBHpj0wuw5C932OIby9ULVxJ7HKI8hS1w3fUqFEZviaRSBAbG4vk5GSGL5ERkMll6LZjCP64/Tf23vkHAQN+ZwAT6ZHaN1x9+PAh3a979+6hc+fOEASBp6GJjMDnwQsA8bIEvI19L3JVRHmLxnc7p4qOjsaPP/6IMmXKICgoCEePHsWRI0e0WRsRadmXwWthZoF9vbagWVmOx0ukTxrfcCWTybBixQrMnj0bzs7O2LJlC7755htd1EZEWiSTy9B959A0wdu8bCORKyPKe9QOX0EQ8Ouvv2Lq1KlITk7G7Nmz0a9fP5iaspN1IkOXGrx7bh0EwOAlEpva4evt7Y3Hjx9jxIgRGD16NKytrREbG5tmOXt7e60WSEQ5w+AlMjxqh+/du3cBAPPnz8eCBQvSvC4IAiQSCeRyufaqI6IcOxlyjsFLZGDUDt9Tp07psg4i0pFmZRti1ddzMe7gNOzttZnBS2QA1A7f+vXr67IOItKhIb690carKQrncxe7FCJCDh41IiLDlCxPxvmnV9LMZ/ASGQ6GL1EukixPRredQ9Bg7df44//XeYnI8DB8iXKJ1ODdc+sg5Ao5+vw+Cm9i3opdFhGlg+FLlAsky5NVHicyNzXH7m7r4WKbX+TKiCg9OQrfnTt3pvusLxHpT2rw/n7rAICU4N3bczNaenGMbSJDlaPwHTRoEF6/fq2tWohIQwxeIuOUo/AVBEFbdRCRhpLlyeixaxiDl8gI8ZovkZEa+Oc47P73LwAMXiJjk6PwPXz4MAoVKqStWohIA99V7ghLM0sGL5ER0nhIwc/VrVtXW3UQkYaalK6HA31+RVJyEoOXyMjkKHyJSH8UCgVMTFRPVjUpXU+kaogoJ3jNl8gIpN5cNSNgkdilEJEW8MiXyMAly5PRa/cI7AzaBwAwNTHFlMajxS2KiHKER75EBuzL4DU3NUclt3IiV0VEOZWtI98TJ07gxIkTiIiIgEKhUHlt8+bNWimMKK9LL3j/6LERrcs1FbkyIsopjcN3+vTpmDFjBqpVqwY3NzdIJBJd1EWUpzF4iXI3jcN37dq18Pf3R48ePXRRD1Ge92XwSk2lDF6iXEbja75JSUmoXbu2LmohyvPSC94/e2xi8BLlMhqHb//+/bFjxw5d1EKU54VFv0bgfxcAMHiJcjONTzsnJCRg/fr1OH78OLy9vSGVSlVeX7x4sdaKI8prPPIVwslBf6LFpq5Y3m4Wg5col9I4fG/dugUfHx8AwJ07d1Re481XRDlXtkApBE84BwszC7FLISId0Th8T506pYs6iPIkuUKO9Ze3YUCN7jAz/fTfkcFLlLvlqJONFy9e4MWLF9qqhShPkSvk6LVrBIbtm4Qeu4YhWZ4sdklEpCcah69CocCMGTPg4OCAokWLomjRosiXLx9++eWXNB1uEFH6UoN3R9BeAMDeO4dw4+UtkasiIn3R+LTzlClTsGnTJsydOxd16tQBAJw7dw7Tpk1DQkICZs2apfUiiXKTL4NXairFnu4bUaNIFZErIyJ90Th8t27dio0bN6Jt27bKed7e3ihUqBCGDh3K8CXKREbB27Z8M5ErIyJ90vi08/v37+Hp6ZlmvqenJ96/f6+VoohyIwYvEaXSOHwrVaqElStXppm/cuVKVKpUSStFEeU26QXv7903MHiJ8iiNTzvPnz8frVq1wvHjx+Hr6wsAuHjxIkJDQ3Ho0CGtF0iUG/xyfHGa4G1XvrnIVRGRWDQ+8q1fvz4ePnyIr7/+Gh8/fsTHjx/RoUMHPHjwAF999ZUuaiQyeiPr9keVQt4MXiICkM3xfN3d3XljFZEGnKwdcWzAbtx4eRtNStcTuxwiEpla4Xvr1i1UqFABJiYmuHUr82cRvb29tVIYkTGTK+SIS4qHnaWtcp6TtSODl4gAqBm+Pj4+CA8PR4ECBeDj4wOJRAJBENIsJ5FIIJfLtV4kkTGRK+To8/soPHgTgqP9dyOflYPYJRGRgVErfJ88eQIXFxfl90SUvtTg/e3GHwCANlt64PTg/TAxyVFPrkSUy6gVvkWLFlV+/+zZM9SuXRtmZqqrJicn48KFCyrLEuUlXwavmYkZxtcfyuAlojQ0/q3QsGHDdDvTiIyMRMOGDbVSFJGxkSvk6PtF8O7psZF3NRNRujQOX0EQ0h239927d7CxsdFKUUTGJDV4tzF4iUhNaj9q1KFDBwApN1X17t0bFhafxhuVy+W4desWateurf0KiQyYXCFHvz2jGbxEpBG1w9fBIeWOTUEQYGdnBysrK+Vr5ubmqFWrFgYMGKD9CokMVGrw/np9D4CU4GUHGkSkDrXDd8uWLQCAYsWKYfz48TzFTHmeQlAgNikOwKfgbV+hhchVEZEx0LiHq59//lkXdRAZHampFDu+W4veu0eik3dbBi8RqU2t8K1SpQpOnDgBR0dHVK5cOd0brlLduHFDa8URGTqpqRTbv1sjdhlEZGTUCt927dopb7Bq3769LushMlhyhRyTD8/CwJo9UCp/cbHLISIjplb4fn6qmaedKS+SK+QY8MdY+F/bjZ1B+3Bq0F4GMBFlm8bP+YaGhuLFixfK6StXrmD06NFYv369VgsjMhSfBy8AvI5+g+CIRyJXRUTGTOPw/e6773Dq1CkAQHh4OJo0aYIrV65gypQpmDFjhtYLJBLTl8FrZmKGXd3WoU25piJXRkTGTOPwvXPnDmrUqAEA+P3331GxYkVcuHAB27dvh7+/v7brIxJNRsHboWIrkSsjImOncfjKZDLlzVfHjx9H27ZtAQCenp4ICwvTbnVEImHwEpEuaRy+5cuXx9q1a3H27FkEBASgefOU3nxevXoFZ2dnrRdIpG/pBe/ObmsZvESkNRqH77x587Bu3To0aNAAXbt2RaVKlQAABw4cUJ6OJjJmB+4dTRO8HSu2FrkqIspNNO7hqkGDBnj79i2ioqLg6OionD9w4EBYW1trtTgiMbQv3wI/Nh6DuadWMHiJSCc0Dl8AMDU1RXJyMs6dOwcAKFu2LIoVK6bNuohEI5FIML3pRHSp1A7lXT3FLoeIciGNTzvHxsaib9++cHNzQ7169VCvXj24u7ujX79+iIuL00WNRDqlUChwN/y+yjyJRMLgJSKd0Th8x44di9OnT+PgwYP4+PEjPn78iL/++gunT5/GuHHjdFEjkdYkKhJVphUKBfr/MRY1VrRA4H/nRaqKiPIajcP3zz//xKZNm9CiRQvY29vD3t4eLVu2xIYNG/DHH3/ookYirTj7/Cx63O6Bc89TLpekBq//tV2Il8Wj/dbeeB/3QeQqiSgv0Dh84+LiULBgwTTzCxQowNPOZNCmBk5FkpCEqaenqgQvAJiamGJTpyVwsnbMYitERDmncfj6+vri559/RkJCgnJefHw8pk+fDl9fX60WR6QtgU8Dcf5Fymnlc6Hn0GprZ5Xg3dVtHe9qJiK90Th8ly5dinPnzqFw4cJo3LgxGjduDA8PD1y4cAHLli3TRY0aW7VqFYoVKwZLS0vUrFkTV65cEbskEtlPp36CqcQUACCBBEeeHADA4CUicWj8qFHFihUREhKCHTt2IDg4GADQtWtXdOvWDVZWVlovUFO7d+/G2LFjsXbtWtSsWRNLly5Fs2bN8ODBAxQoUEDs8kgEgU8Dldd5AUCAAJjKIDFLxq6uGxm8RKR3GoXvpUuXcPDgQSQlJaFRo0bo37+/rurKtsWLF2PAgAHo06cPAGDt2rX4559/sHnzZkyaNEnk6kgMqUe9ckH+aaYAlHUvyOAlIlGoHb5//PEHunTpAisrK0ilUixevBjz5s3D+PHjdVmfRpKSknD9+nVMnjxZOc/ExARNmjTBxYsX010nMTERiYmfHj+JiooCkDKAhEwm023BWUjdv9h1GLPTz06rHPUqSYDgd/dwPOQ46hetr//CcgF+PrWPbapd+m5PTfYjEQRBUGfBqlWronr16li1ahVMTU0xZ84cLFiwAO/fv892odr26tUrFCpUCBcuXFC5+WvixIk4ffo0Ll++nGadadOmYfr06Wnm79ixg91l5gKTH03Gg9gHUECR5jUTmMDTxhOzS88WoTIiym3i4uLw3XffITIyEvb29pkuq3b42traIigoCKVKlQKQcpRpY2ODly9fGsy11OyEb3pHvh4eHnj79m2WjadrMpkMAQEB8PPzg1QqFbUWY3T62Wn4bffLcrmAbgE8+s0Gfj61j22qXfpuz6ioKOTPn1+t8FX7tHNcXJzKxszNzWFpaYmYmBiDCd/8+fPD1NQUr1+/Vpn/+vVruLq6pruOhYWFcnziz0mlUoP58BtSLcZk+tnpaa/1fsFUYooZZ2fgTKkzeqwsd+HnU/vYptqlr/bUZB8a3XC1ceNG2NraKqeTk5Ph7++P/PnzK+eNHDlSk01qlbm5OapWrYoTJ06gffv2AFJ6MTpx4gSGDx8uWl2kf1/e4ZwRuSDH2ednEfg0EA2KNdB9YURE0CB8ixQpgg0bNqjMc3V1xbZt25TTEolE1PAFUvqe7tWrF6pVq4YaNWpg6dKliI2NVd79THlDunc4Z8BUYoqpp6biTB8e/RKRfqgdvk+fPtVhGdrTpUsXvHnzBlOnTkV4eDh8fHxw5MiRdLvEpNxJ3aPeVDz6JSJ907iHK2MwfPhwPHv2DImJibh8+TJq1qwpdkmkRz+d+gkSSDRaRwIJpp6aqqOKiIhU5crwpbwrNikWl19cTunFSgMCBFx6cQlxMg4OQkS6p3H3kkSGzMbcBi/HvkRkYiSSk+Vo2GUrwiNiAACHt32HpyFBqF+/frp3JTpYOMBayme7iUj31A7fV69ewd3dXZe1EGmFi40LXGxcsOfvuwgPMQfghDZNyqBxxao4FPoapZxK8TEOIhKV2qedy5cvjx07duiyFiKtEQQBC9ddUE6P6ldLxGqIiFSpHb6zZs3CoEGD0KlTJ4PqUpIoPeeuPMeVoJcAAJ/yrmhUp7jIFRERfaJ2+A4dOhS3bt3Cu3fvUK5cORw8eFCXdRHlyIK155Xfjx9UGxKJZnc/ExHpkkY3XBUvXhwnT57EypUr0aFDB3h5ecHMTHUTN27c0GqBRJoKfvQGB48/BAB4uNujc+vyIldERKRK47udnz17hr1798LR0RHt2rVLE75EYlu84dPwkaP71YJUaipiNUREaWmUnBs2bMC4cePQpEkT3L17Fy4uLrqqiyhbwiOi8euf/wIA7O0s0L9rFZErIiJKS+3wbd68Oa5cuYKVK1eiZ8+euqyJKNtWbLmCpKSU/pwHd68GeztLkSsiIkpL7fCVy+W4desWChcurMt6iLItJjYRa7ZdBQBIpSYY2YfdihKRYVI7fAMCAnRZB1GObd59Ex8iEwAA37WriEJumQ9mTUQkFvbtTLlCcrIcSzZeUk6PH1RbxGqIiDLH8KVc4c9DwXga+hEA0LxBKVTw5BCSRGS4GL5k9ARBUOlUY8JgHvUSkWFj+JLRO33pKa7fDgMAVK7gioa12ZUkERk2hi8ZvQVrPw2gMGFQHXYlSUQGj+FLRu3O/dc4dPIRAKBIIQd806qcyBUREWWN4UtG7fNhA8f0Z1eSRGQcGL5ktF6ERWL7/tsAAEcHS3YlSURGg+FLRmvZpstITlYAAIb2rA5bGwuRKyIiUg/Dl4zSx8h4rNt+DQBgYWGKEexKkoiMCMOXjNK67dcRHZMEAOjdyQcFXWxFroiISH0MXzI6iYnJWLoppStJiQQYN5CdahCRcWH4ktH5bd8thEfEAAC+bu6F0sWdRa6IiEgzDF8yKgqFQuXxoolD6ohYDRFR9jB8yaj8ffwh7oe8BQDUq1kUNStzfGkiMj4MXzIq8z8bQIFHvURkrBi+ZDQuXHuO81dDAQDly7igRcNSIldERJQ9DF8yGp8PoDB+UG2YmPDjS0TGib+9yCjcD3mDv47dBwC4F7TDd+0rilwREVH2MXzJKCxafxGCkPL9mP61YG5uJm5BREQ5wPAlgxf2Ohq//vkvAMDezgIDu1UVuSIiopxh+JLBW77lMpKS5ACAIT2qwd7OUuSKiIhyhuFLBi06JhFrtl0FAEilJhjJARSIKBdg+JJB27DjOiKjEgEAPTpUgrurvcgVERHlHMOXDFZSUjKWbLyknB4/iAMoEFHuwPAlg7XrwB28CIsCALT1Kwuv0i4iV0REpB0MXzJIgiCodKrBriSJKDdh+JJBOhIYgjsPIgAAvlULo071IiJXRESkPQxfMkjz13w2gMJgHvUSUe7C8CWDc+XmCwRefAoAKFPCGW2blhW3ICIiLWP4ksFZsO7Ttd4JgzmAAhHlPvytRgYl5Mk77D0cDABwLWCL7l97i1wREZH2MXzJoCzecBEKRcoICiP71ISlpVTkioiItI/hSwYj4m0MtvweBACwtTHH4O7VxC2IiEhHGL5kMFb6X0FCYjIAYOB3VeGYz0rkioiIdIPhSwYhNi4Jq7amDKBgZmaC0f1riVwREZHuMHzJIGzefRPvP8YDAL5rXxEe7g4iV0REpDsMXxJdcrIci9Z/erxo/EAOoEBEuRvDl0S35+97ePYiEgDQomEpVPQqKHJFRES6xfAlUQmCgPlrP+tKkgMoEFEewPAlUR0/+xhBd8MBANUruaN+rWLiFkREpAcMXxLVgi+OeiUSiYjVEBHpB8OXRHPzThgCzj4GAJQs6oivm3vlfKPx8bpdnohICxi+JJrPj3rHDawNU9Mcfhw3bAC8vYHQUPWWDw1NWX7Dhpztl4hIQwxfEsXT0A/4/e+7AAAXZ2v07uSTsw3GxwPz5wMhIUCDBlkHcGhoynIhISnr8QiYiPSI4UuiWLLxEuTylAEURvSuCSurHA6gYGUFnDwJlCgBPH6ceQCnBu/jxynLnzyZsj4RkZ4wfEnv3n2Iw8adNwAA1lZSDO1VXTsb9vAAAgMzDWDLN29g5uf3KXgDA1PWIyLSI4Yv6d3qrVcRFy8DAPT7tjKcHa21t/F0Avj97Qcpr4WGou6PP0LC4CUikTF8Sa/i42VYvuUyAMDUVIKxA3y1v5MvAvhj1drY+9MmmDVpApvXryEweIlIZGZiF0B5i/+eILx9HwcA6Ny6PIp5OOpmRx4e+Lj/MD5W80WJpPcoMbM/ACC2YEGYBwRAyuAlIhHxyJf0Ri5XqAygMGGwbruSHLnpDr5zaK8y7/qYMTziJSLRMXxJb/YdCcZ/zz4AAPy+KoHKFdx0tq9/TjzEqd1nse39PpX5VZcsUf85YCIiHWH4kl4IgoD5a/QzgMLHyHhMG7MNgW+2oqT8A6IKFAbOn4dQogRsXr9OuduZAUxEImL4kl6cvvQUV/99BQDwKe+KxnVL6Gxfv0zYjl33VqGk/ANe2RaA3dXzQO3aSA4IQGzBgil3O6vTEQcRkY4wfEkvVI56B+tuAIXA3WcwdPNElJR/wBOpE3DyJCRFiqS86OGBczNnptztzAAmIhExfEnnbge/xuFTIQCAooUd0Kl1OZ3sJzr4EYr36oCS8g/4z9QRFxZuhXv18irLJLi4IDkgQL2esIiIdIThSzq38LM7nMcNrA0zM1Pt7yQ+HnF16qNo4jv8Z+qIn1r9hO9GtEp/2S874mjUiH07E5FeMXxJp0JfRWLH/tsAAKd8VujbpbJO9nP82iv8KFTFIzMntCzSD7NX9s781HZqAJcqBUycyL6diUiv2MkG6dTSjZeQnKwAAAzrVR021uZa30d0TCL6TzyAZ7ZV8ZuNNxb93E69zjs8PIBbtxi8RKR3PPIlnfkYGY/1O64DACwtzDC8dw2d7GfSnON49iISAFCrdmkM7lFN/ZUZvEQkAoYv6cyabdcQE5sEAOjT2QcF8ttqfR+BF59g9a9XAaSMkLRxfluYmPBjTUSGzWh+S82aNQu1a9eGtbU18uXLl+4yz58/R6tWrWBtbY0CBQpgwoQJSE5O1m+hBABISJBh2eZLAAATE90MoBAbl4R+4w8op+dMaoySxZy0vh8iIm0zmmu+SUlJ6NSpE3x9fbFp06Y0r8vlcrRq1Qqurq64cOECwsLC0LNnT0ilUsyePVuEivO2X//8F6/fxAIAOrb0Qqnizlrfxw/zTuDx85TuKutWL6Kz09pERNpmNEe+06dPx5gxY1CxYsV0Xz927Bju3buH3377DT4+PmjRogV++eUXrFq1CklJSXquNm+TyxVYsPbT40XfD6mr9X2cu/IMK/4/NKGlhRk2L2rH081EZDSM5sg3KxcvXkTFihVRsGBB5bxmzZphyJAhuHv3LipXTv8Rl8TERCQmJiqno6KiAAAymQwymUy3RWchdf9i16GpPw8FI+TpewBAo9rF4O3lotX3EBcvQ59xf0EQUqZnjGuAYoXts9yHsbanoWJ7ah/bVLv03Z6a7CfXhG94eLhK8AJQToeHh2e43pw5czB9+vQ0848dOwZra2vtFplNAQEBYpegNkEQ8NOCh8rpepVNcejQIa3uY/PeF8pwL1vcBiVd32q0D2NqT2PA9tQ+tql26as94+Li1F5W1PCdNGkS5s2bl+kywcHB8PT01FkNkydPxtixY5XTUVFR8PDwQNOmTWFvb6+z/apDJpMhICAAfn5+kEqlotairlMXniLkeRAAwKd8QUwe20Wr/ThfuvECB0/dBABYmJtiz/ru8CyZX611jbE9DRnbU/vYptql7/ZMPXOqDlHDd9y4cejdu3emy5Qood7oN66urrhy5YrKvNevXytfy4iFhQUsLCzSzJdKpQbz4TekWrKyaP0l5feThn4Fc3PtdaqRkCDDwEn/fDrdPL4hKnpqPiawMbWnMWB7ah/bVLv01Z6a7EPU8HVxcYGLi4tWtuXr64tZs2YhIiICBQoUAJByqsHe3h7lyummI39SdfNOGI6d+Q8AULxIPnRs6aXV7U9bEoj7IW8BANUruevk8SUiIn0wmmu+z58/x/v37/H8+XPI5XIEBQUBAEqVKgVbW1s0bdoU5cqVQ48ePTB//nyEh4fjxx9/xLBhw9I9siXt+3zYwPFaHkDhys0Xyjuozc1NsWVRe90M0EBEpAdGE75Tp07F1q1bldOpdy+fOnUKDRo0gKmpKf7++28MGTIEvr6+sLGxQa9evTBjxgyxSs5THj97j9//vgsAcHG2Rp/O2htAITExGX3G/wWFIuV889RR9VG+bAGtbZ+ISN+MJnz9/f3h7++f6TJFixbV+p21pJ5F6y8qw3Fkn5qwstLe9ZVflp3GvYdvAABVKrph4pA6Wts2EZEY2CsB5VjE2xhs3p1yB7KNtRRDe1bX2rZv3H6FuavPAQCkUhNsWdQOUilPNxORcWP4Uo6t9L+ChMSUPrQHflcVTo7aeT46KSkZvcfuh1yeckQ9ZUQ9eHtlfOc6EZGxYPhSjsTEJmKlf8ojXmZmJhijxTuQZ688i9v3IwAAlcoVxORh2u+mkohIDAxfypGNO2/gQ2QCAKBb+4rwcHfQynb/vReOWSvOAkgJ9S2L2sPc3GhuUSAiyhTDl7JNJpNj8YaLyukJg7VzI5RMJkefcfuRnKwAAEwaWheVK2jemQYRkaFi+FK27fzrNkJfpXSn1rpJGa09/jNv9TncvJPSH3f5Mi74cWQ9rWyXiMhQMHwpWxQKhUqnGt9r6fGfO/dfY8ay0wAAU1MJ/Be3h4UFTzcTUe7C8KVsOXTyEe7+/9nb2tU8ULdG0RxvMzlZjj7j/oJMlnK6ecLgOqhWqVCOt0tEZGgYvpQt81Zr/6h30fqLuHbrFQDAq3R+/Dy6vla2S0RkaBi+pLEL157j3NXnAIByZVzQukmZHG/zfsgb/Lz4FADAxESCzQvbwdKSo7oQUe7E8CWNfX7UO2FQbZiY5OxjJJcr0G/CASQmygEAY/rXQq0qHjnaJhGRIWP4kkaCH73BgYAHAIDCbvb4rn3FHG9z1dYruHAtFABQqpgTZoxvmONtEhEZMoYvaWTB2k9HvWP618pxxxePn73H5LknlNObFrSFtZV5jrZJRGToGL6kthdhkfht3y0AQD4HSwz4rmqOticIAgZ8fxBx8TIAwNCe1VGvVrGclklEZPAYvqS2pRsvKR8DGtqjOuxsLXK0vY07b+Dk+ScAgCKFHDB3cpMc10hEZAwYvqSWDx/jsW77dQCAhYUpRvatmaPtvQiLxPiZx5TT6+e2yXGYExEZC4YvqWXNtquIiU0CAPTpVBkFXWyzvS1BEDB48t+Iik4EAPTu5INmDUpppU4iImPA8KUsxcfLsGzzZQApz+COH1Q7R9vbsf82/jnxCADgWsAWi6c2y3GNRETGhOFLWdr6RxAi3sYCAL5pWQ4lizlle1uv38Rg5NTDyuk1s1rBMZ9VjmskIjImDF/KlFyuwMJ1F5TT3w/NWVeSI6YewvuP8QCALm3Ko31zrxxtj4jIGDF8KVN/HrqH/559AAA0+aoEqlR0z/a29h6+hz1/3wMAODtaYcUvLbVSIxGRsWH4UoYEQcA8LQ0b+P5DHIZO+Uc5vWJGS7g42+SoPiIiY8XwpQydPP8EN26HAQCqVHRD47olsr2tMTOO4vWblOvGbZqUwbftKmilRiIiY8TwpQzNW31O+f3EwXUgkUiytZ3Dpx7h1z/+BQA42FtgzezW2d4WEVFuwPCldN24/QoBZx8DAEoUcUTHltm7MSoqOgEDvz+onF70UzMUcrPXSo1ERMaK4Uvpmv/Ztd7xg2rDzMw0W9v5fvZxvAiLApByw1bfLpW1Uh8RkTFj+FIa/z19jz3/pNyVXCC/DXp38snWdgIvPsHa364BAGyspdgwrw1PNxMRgeFL6Vi0/gIUCgEAMLJPTVhZSTXeRmxcEvqNP6Ccnju5CYp5OGqtRiIiY8bwJRURb2Ow5fcgAICtjTmG9qyere38tOAkHj9PeT64bvUi2d4OEVFuxPAlFcs3X0ZCYjIAYOB3VbPV9eOlG6FYuukSAMDSwgybFraFiQk/akREqfgbkZSiYxKx6terAACp1ARjBtTSeBuJicnoO/4vCClnrTF9XAOUKZFfm2USERk9hi8pbdhxHR8jEwAA3dp7o7Cbg8bb+GXZaQQ/egsAqObtjrEDfLVaIxFRbsDwJQBAUlIylmy8pJyeMFjzYQNv3gnD3P93zCGVmmDzwnbZfkSJiCg3Y/gSAGDnX3eUz+O2aVIG5coU0Gh9mUyOvuP/glyecr55yoh6qOhVUOt1EhHlBgxfgkKhwPy1nw2gMLSuxtuYv+Y8gu6GAwAqehbA5GGab4OIKK9g+BL+OfEI9x6+AQDUqe6BOtWLaLT+vYcRmLHsNADAxESCzQvbwdzcTOt1EhHlFgxfwrw1nwZQ+H6IZkescrkC/SYcQFKSHEBKV5TVKhXSan1ERLkNwzePO3/1Oc5fDQUAlCvjglaNS2u0/kr/K7h04wUAoEwJZ0wb00DLFRIR5T4M3zzuy2EDNekM42noB/ww74RyeuP8ttnqipKIKK9h+OZhdx9E4ODxhwCAwm726KrBAPeCIGDQpL8RFy8DAAzpUQ1f1SyqkzqJiHIbhm8etuCzO5zHDvDV6CapbX/+i2Nn/gOQEtxzJzfRen1ERLkVwzePCn0Vie37bwMAHB0sMeC7KmqvG/E2BmOmH1VOr5ndCvZ2llqvkYgot2L45lFLNlxEcrICADC0Z3XY2liove7IqYfx/mM8AODbthXQuklZndRIRJRbMXzzoA8f47F+x3UAKaMOjexbU+11DwY8wO6DdwEATvmssGx6c53USESUmzF886DVv15FbFzKjVJ9OvugQH5btdaLjErAkB/+Vk4vndZc7XWJiOgThm8eEx8vw7LNKQMomJhIMH6Q+gMoTJpzHC/DowEAzeqXRPcO3jqpkYgot2P45jH+e4Lw5l0cAKBTq3IoUdRJrfXOXHqKtb9dAwDYWEuxbm4bSCQSndVJRJSbMXzzkORkORauu6CcVncAhYQEGQZ8f1A5Pfv7xihaOJ+2yyMiyjMYvnnIn4eC8fj5BwCA31clULmCm1rrzVh6Gg8fvwMA1KpSGMN61dBZjUREeQHDN48QBEF1AAU1j3qD7oYphxuUSk2wcX5bmJryY0NElBP8LZpHHD/7GDfvpIy3W7WiGxrVKZ7lOsnJcvSbcAByuQAAmDKiHsqXLaDTOomI8gKGbx7x5VGvOjdLLdl4CTduhwEAypdxweRhmg03SERE6WP45gHXb73CiXNPAAClijmhQwuvLNcJefIOUxeeAgBIJMDGBW016vuZiIgyxvDNAz4/6h0/qHaW12wFQcDASQeRkJgMABjZtyZqVfHQaY1ERHkJwzeXC3nyDn8eCgYAFHSxQa9vKmW5zqZdN3DqwlMAQNHCDpg5oZEuSyQiynMYvrncwvUXoFCk3DA1qm8tWFpmPtj9q/AojJ95TDm9fm4bjQZdICKirDF8c7HwiGj47wkCANjZmmNIj2pZrjP8p0OIjEoEAPT8phKa1i+lyxKJiPIkhm8utmzzZSQmygEAg7pVQz4Hq0yX//PQPew7ch8A4OJsjcVTm+m8RiKivIjhm0tFRSdgzbarAFI6xxjdr1amy3/4GI/hPx1STq+Y0RLOjtY6rZGIKK9i+OZS67ZfV54+7tGhEgq52We6/PiZxxAeEQMAaNOkDDq3Ka/zGomI8iqGby6UmJiMJRsuAkh5RnfC4MyHDTx5/jE2774JIOXa8OrZrThiERGRDjF8c6Hf9t1C2P+PYts19YRnKZcMl42Pl2HQpL+V0/N/8ENhNwed10hElJcxfHMZhUKBBf8fCAEAvh9aJ9PlZ604g5Cn7wEAdap7YGC3qjqtj4iIGL65zl9HH+DBfynD/9WrWTTTnqnu3H+NeWs+jVi0fm4bmJjwI0FEpGv8TZuLpB02MOOjXoVCgQHfH0RysgIAMGloXZQrwxGLiIj0geGbi5y59AyXb74EAFT0LIAWDUtnuOzabddw6cYLAECZEs74YfhXeqmRiIgYvrnK50e9E4fUyfCO5ZdhUZg097hyev3cNll2O0lERNrD8M0lbgWH4/CpEAApgyF0aVMhw2VH/nwY0TFJAIB+31ZGfd9i+iiRiIj+j+GbS8xf8+kO53EDa0MqNU13uf1HgrH3cMooRwXy22D+D356qY+IiD5h+OYCT0M/YNeBOwAAZ0cr9O1SOd3loqITVLqQXDatOZzYhSQRkd4xfHOBxRsuQi5PGTZwRJ+asLE2T3e5KfNP4mV4NACgRcNS6NI241PTRESkOwxfI/f2fSw27rwBALC2kmJ47xrpLnfpRihWbb2iXG71LHYhSUQkFoavkVvpfwXxCckAgP5dq6Q7EpFMJseAiQchpBwc45fxDVHMw1GfZRIR0WcYvkYsNi4JK7akHM2amkowdoBvusstXHcBdx5EAACqVHTDyL419VYjERGlZRTh+/TpU/Tr1w/FixeHlZUVSpYsiZ9//hlJSUkqy926dQtfffUVLC0t4eHhgfnz54tUsX5s2nUD7z/GAwC6tquIooXzpVnm0ZN3mL40EABgYiLBhnltYGaW/p3QRESkH2ZiF6CO+/fvQ6FQYN26dShVqhTu3LmDAQMGIDY2FgsXLgQAREVFoWnTpmjSpAnWrl2L27dvo2/fvsiXLx8GDhwo8jvQPplMjkXrLyqnJw5O25WkIAgYPPlvJCbKAQCj+9VClYruequRiIjSZxTh27x5czRv3lw5XaJECTx48ABr1qxRhu/27duRlJSEzZs3w9zcHOXLl0dQUBAWL16cK8N398E7eP4yEgDQslFpVPQqmGaZX//4FyfPPwGQ0vHG9HEN9FkiERFlwCjCNz2RkZFwcnJSTl+8eBH16tWDufmnx2yaNWuGefPm4cOHD3B0TP8Go8TERCQmJiqno6KiAAAymQwymUxH1asndf9f1iEIAuau+tSV5LiBtdIs8+ZdLMbOOKqcXj69OSzMTUR/T2LKqD0pe9ie2sc21S59t6cm+zHK8A0JCcGKFSuUR70AEB4ejuLFi6ssV7BgQeVrGYXvnDlzMH369DTzjx07Bmtrw+iAIiAgQGX62p1I3H34BgBQtpg1ot7cxqFDd1SWWbbtmfJ68FdV80GIf4hDhx7qp2AD92V7Us6wPbWPbapd+mrPuLg4tZcVNXwnTZqEefPmZbpMcHAwPD09ldMvX75E8+bN0alTJwwYMCDHNUyePBljx45VTkdFRcHDwwNNmzaFvb19jrefEzKZDAEBAfDz84NU+mngg4Vbf1V+P3NSS7RqWlZlvdOXnuHU5ZsAAAc7C2xf3QuuLrb6KdqAZdSelD1sT+1jm2qXvtsz9cypOkQN33HjxqF3796ZLlOiRAnl969evULDhg1Ru3ZtrF+/XmU5V1dXvH79WmVe6rSrq2uG27ewsICFhUWa+VKp1GA+/J/XcvF6KM5dDQUAeJbKjw4tysHE5NNN60lJyRgx9Yhyeu7kJvBw5zO9nzOkn21uwPbUPrapdumrPTXZh6jh6+LiAhcXF7WWffnyJRo2bIiqVatiy5YtKoEDAL6+vpgyZQpkMpmyAQICAlC2bNkMTzkbo3mrP13rnTCodpp2WLjuAu6HvAUA1KxcCAO7VdVrfURElDWjeM735cuXaNCgAYoUKYKFCxfizZs3CA8PR3h4uHKZ7777Dubm5ujXrx/u3r2L3bt3Y9myZSqnlI1d8KM3+OvYAwCAe0E7dPvaW+X1x8/e45dlZwCkdLqxdk7rNOFMRETiM4obrgICAhASEoKQkBAULlxY5TXh/30mOjg44NixYxg2bBiqVq2K/PnzY+rUqbnqMaMFaz8NGzimfy1YWHz68QmCgGE/HkJCYkpXk6P61oJPeTe910hERFkzivDt3bt3lteGAcDb2xtnz57VfUEieBEWid/23QIAONhbpDmd/Mc/93AkMAQAUNjNHtPGNtB3iUREpCaekzQSSzdegkymAAAM7VEd9naWyteiohMw6ufDyunl01vAzjbtTWRERGQYGL5G4ENkPNZtvw4AsLAwxah+tVRe/2nhKYRFxAAAWjcpg/bNPdNsg4iIDAfD1wis++0GYmJTBpHo3ckHBT97Zvf6rVdY6Z8yspGVpRlWzGjBcXqJiAwcw9fAJSYpsNL/KoCUUYnGD6ytfE0uV2Dw5L+hUKTcdPbzmAYcp5eIyAgwfA3cqcvvEfEuFgDQsaUXShV3Vr62dts1XLv1CgBQvoxLhuP5EhGRYWH4GjC5XIH9Jz712vX9kLrK78NeR+OH+SeU02vntIZUynF6iYiMAcPXgO09ch/hb1Ou9Tb5qgSqen8ai3f8zGOIik4Zjanft5VRt0ZRUWokIiLNMXwNlCAIWLjuonL6+yF1lN+fvvgUO/bfBgA45bPC3MlN9F4fERFlH8PXQJ049xg376R0n1m5gisa100ZYEImk2P4T4eUy83+vjHyO9mIUiMREWUPw9dAzVvzqSvJ8YN8lY8Prdp6BXceRAAAqnm7o3/XKqLUR0RE2cfwNUDXb73C8bOPAQCu+c3R4f+dZoRHROPnxYEAAIkEWDWzJUxN+SMkIjI2/M1tgOZ/dtTbvnFBZcBOnB3w2U1WVVCjcuF01yciIsPG8DUwIU/e4Y9D9wAABZxt0LCmEwDg3JVn2PZnysAKjg6WmDOpsWg1EhFRzjB8DczC9ReUPVYN710dFuYmSE5WYNiPn26ymjWRN1kRERkzhq8BCY+Ihv+eIACArY05BnVPuZlq7W/XcSs4pbONKhXd0gwnSERExoXha0CWb76MxEQ5AGBQt6pwdLDCxygZpi0+rVxm5S+8yYqIyNjxt7iBiIpOwOptKQMoSKUmGNM/pZ/mrf9r786DojrTNYA/7DQ0a2SNIBrUgCIqiIIzcSMSYrkSJTcu6BjKKJAoMTFOVJJMXEq9ZlxQr9cEJpaiZSVoNK5RJJYLbmlFIUQTEI2Co4i0oALd3/2DyxlbEFHhnEaeX1VXeb6z9NtvIQ9f9+lztl9D2d2ak6wmjemO0CAvxWokIqKmwfA1Eus2nsadspqQHTeyG172sMex01eRkVUCAHB0sOaVrIiIXhAMXyPw4EE1vlp/XFr+6L2+0On0eD9pjzT2j5kD4NpGXd/uRETUwjB8jcDG9HO4VqwFAAwf3Bl+HV2wdsMpnM2pOcmqm58r3hsXrGSJRETUhBi+CtPr9Vi89j8X1Zg17S/4961yzFl6UBpb8fkbMDfn7QKJiF4U5koX0Nr9sC8Peb/fAgD8NcQboUFemDxzO0rv3AcADAhxRlgwT7IiInqRcOarICGEwQ0UZk37C46fuYJvtvwCALBXWyFmhOfjdiciohaKM18FHc66jONnrgIAunZ2RUS/V9B72Hpp/WeJ/eBo/2+lyiMiombCma+CHp71fjy1L9anncGZ7OsAgG5+bnhvHK9kRUT0IuLMVyHZucXYdfAiAMD7ZQeE/6UDugxKltav+sebMDfn30ZERC8i/nZXyMNnOCfGhmLef2fg9v+fZDVuVDf8tXc7pUojIqJmxvBVwOWrpUjbng0AcHZUoZufG77efAYAYKe2xOK/v65keURE1MwYvgpY9r/HoNPV3DYwLqYXPp6/H6JmEZ8nDoCHm52C1RERUXNj+Mrs1u0KrE+rmeWqrM2hsrbAqXPXAABdOrkgfmKIkuUREZEMGL4yW5V6AhX3qgAAoyL9sPR/jkrrkr8cAgsLXsmKiOhFx/CVUXlFJVamZAEAzMxMcOv2PZSU3gMA/NfwrugX6qNgdUREJBeGr4y+2fILbt2uCduO7V/C3sxLAAC1rSWWzhmsZGlERCQjhq9Mqqp0Bm8xX75aKp1klTS9Hzzd7RWqjIiI5MbwlcmWHedR+Ocdafne/WoAgF/HNvhgch+lyiIiIgUwfGUghDCY9T5s1T/e5ElWREStDMNXBpnHC3A2p7jOePTQLhjYt4MCFRERkZIYvjJY/nVWnTFbGwssncuTrIiIWiOGbzP743IJtu/7tc74vOn90NbDQYGKiIhIaQzfZrYq9YR0VnMt/04umM6TrIiIWi2GbzPS3n2Ar7f8Umd89ZdDYGnJuzkSEbVWDN9mlLpVgzLtA4OxCW8F8kpWREStHMO3mej1eulSkrUcHayx5FPeLpCIqLVj+DaT3RmXcDG/xGBs4axBcG2jVqgiIiIyFgzfZrJmw0mD5ZDuLyP2nSCFqiEiImPC8G0Gt25X4McDFw3G1iwYAjMztpuIiBi+zWLTtmyD5b/H/xU9AzwVqoaIiIwNw7cZ5F78t/Rvc3NTzJveT8FqiIjI2DB8m8Hbw7rCRmWBQH83/HHkA1hZ8Tu9RET0H0yFZvBaHx+UZM+ChYUpTE359w0RERli+DYTznaJiOhxOC0jIiKSGcOXiIhIZgxfIiIimTF8iYiIZMbwJSIikhnDl4iISGYMXyIiIpkxfImIiGTG8CUiIpIZw5eIiEhmDF8iIiKZMXyJiIhkxvAlIiKSGcOXiIhIZgxfIiIimTF8iYiIZMbwJSIikhnDl4iISGYMXyIiIpkxfImIiGTG8CUiIpIZw5eIiEhmDF8iIiKZMXyJiIhkZq50AcZGCAEAKCsrU7gSoKqqChUVFSgrK4OFhYXS5bR47GfTYj+bHnvatOTuZ21u1OZIQxi+j9BqtQAALy8vhSshIqKWSKvVwsHBocFtTERjIroV0ev1uHbtGuzs7GBiYqJoLWVlZfDy8sKVK1dgb2+vaC0vAvazabGfTY89bVpy91MIAa1WC09PT5iaNvypLme+jzA1NUXbtm2VLsOAvb09/yM2IfazabGfTY89bVpy9vNJM95aPOGKiIhIZgxfIiIimTF8jZiVlRWSkpJgZWWldCkvBPazabGfTY89bVrG3E+ecEVERCQzznyJiIhkxvAlIiKSGcOXiIhIZgxfIiIimTF8jdD8+fMRFhYGGxsbODo61rtNYWEhhgwZAhsbG7i6uuKjjz5CdXW1vIW2MMnJyfDx8YG1tTV69+6NEydOKF1Si/Dzzz9j6NCh8PT0hImJCbZt22awXgiBefPmwcPDAyqVCuHh4bh48aIyxbYACxcuRK9evWBnZwdXV1eMGDECeXl5Btvcv38fcXFxeOmll6BWqxEVFYXi4mKFKjZ+a9asQbdu3aSLaYSGhmL37t3SemPsJ8PXCFVWVmL06NGYOnVqvet1Oh2GDBmCyspKHD16FP/617+QmpqKefPmyVxpy7FlyxYkJiYiKSkJZ86cQWBgICIiInDjxg2lSzN65eXlCAwMRHJycr3rFy9ejBUrVmDt2rXIysqCra0tIiIicP/+fZkrbRkyMzMRFxeH48ePY//+/aiqqsLgwYNRXl4ubTNjxgzs2LEDW7duRWZmJq5du4ZRo0YpWLVxa9u2LRYtWoTTp0/j1KlTGDhwIIYPH44LFy4AMNJ+CjJaKSkpwsHBoc74rl27hKmpqSgqKpLG1qxZI+zt7cWDBw9krLDlCAkJEXFxcdKyTqcTnp6eYuHChQpW1fIAEOnp6dKyXq8X7u7uYsmSJdJYaWmpsLKyEmlpaQpU2PLcuHFDABCZmZlCiJr+WVhYiK1bt0rb5ObmCgDi2LFjSpXZ4jg5OYn169cbbT85822Bjh07hoCAALi5uUljERERKCsrk/7So/+orKzE6dOnER4eLo2ZmpoiPDwcx44dU7Cyli8/Px9FRUUGvXVwcEDv3r3Z20a6c+cOAMDZ2RkAcPr0aVRVVRn09NVXX4W3tzd72gg6nQ6bN29GeXk5QkNDjbafvLFCC1RUVGQQvACk5aKiIiVKMmo3b96ETqert2e//vqrQlW9GGp/3urrLX8Wn0yv12P69Ono27cvunbtCqCmp5aWlnXO92BPG5adnY3Q0FDcv38farUa6enp8Pf3h0ajMcp+cuYrk08++QQmJiYNPhgERK1LXFwczp8/j82bNytdSovXuXNnaDQaZGVlYerUqYiJiUFOTo7SZT0WZ74y+fDDDzFx4sQGt+nQoUOjjuXu7l7nTN3aM/fc3d2fqb4XWZs2bWBmZlbn7Mbi4mL26znV9q+4uBgeHh7SeHFxMbp3765QVS1DfHw8du7ciZ9//tngNqbu7u6orKxEaWmpwWyNP68Ns7S0hK+vLwAgKCgIJ0+exPLlyxEdHW2U/eTMVyYuLi549dVXG3xYWlo26lihoaHIzs42OFN3//79sLe3h7+/f3O9hBbL0tISQUFBOHDggDSm1+tx4MABhIaGKlhZy9e+fXu4u7sb9LasrAxZWVns7WMIIRAfH4/09HQcPHgQ7du3N1gfFBQECwsLg57m5eWhsLCQPX0Ker0eDx48MNp+cuZrhAoLC1FSUoLCwkLodDpoNBoAgK+vL9RqNQYPHgx/f3+MHz8eixcvRlFREebMmYO4uDijvHuHMUhMTERMTAyCg4MREhKCf/7znygvL8ekSZOULs3o3b17F5cuXZKW8/PzodFo4OzsDG9vb0yfPh1ffvklOnbsiPbt22Pu3Lnw9PTEiBEjlCvaiMXFxWHTpk3Yvn077OzspM8dHRwcoFKp4ODggMmTJyMxMRHOzs6wt7dHQkICQkND0adPH4WrN06zZ89GZGQkvL29odVqsWnTJhw6dAh79+413n4qdp41PVZMTIwAUOeRkZEhbVNQUCAiIyOFSqUSbdq0ER9++KGoqqpSrugWYOXKlcLb21tYWlqKkJAQcfz4caVLahEyMjLq/XmMiYkRQtR83Wju3LnCzc1NWFlZiUGDBom8vDxlizZi9fUSgEhJSZG2uXfvnpg2bZpwcnISNjY2YuTIkeL69evKFW3k/va3v4l27doJS0tL4eLiIgYNGiT27dsnrTfGfvKWgkRERDLjZ75EREQyY/gSERHJjOFLREQkM4YvERGRzBi+REREMmP4EhERyYzhS0REJDOGLxERkcwYvkQtTGpqap3bo9XHxMQE27Zta/Z6Wpq8vDy4u7tDq9U+13H69OmD7777romqotaG4Uv0GDqdDmFhYRg1apTB+J07d+Dl5YVPP/30sfv2799fulWktbU1/P39sXr16iapKzo6Gr/99pu0/Nlnn9V7B6Hr168jMjKySZ7zeRQUFDz2NprHjx9vkufo378/pk+f3qhtZ8+ejYSEBNjZ2T3Xc86ZMweffPIJ9Hr9cx2HWieGL9FjmJmZITU1FXv27MHGjRul8YSEBDg7OyMpKanB/WNjY3H9+nXk5ORgzJgxiIuLQ1pa2nPXpVKp4Orq+sTt3N3djepGGz/99BOuX79u8AgKCpK1hsLCQuzcufOJt/dsjMjISGi1Wuzevfv5C6PWR9ErSxO1AMuXLxdOTk7i2rVrYtu2bcLCwkJoNJoG9+nXr5/44IMPDMY6duwo3n77bSGEEJcvXxbDhg0Ttra2ws7OTowePVoUFRVJ22o0GtG/f3+hVquFnZ2d6Nmzpzh58qQQQoiUlBTh4OAg/RuPuUA/AJGeni4d89y5c2LAgAHC2tpaODs7i9jYWKHVaqX1MTExYvjw4WLJkiXC3d1dODs7i2nTponKyspn7FyN/Px8AUD88ssvj93m0qVLYtiwYcLV1VXY2tqK4OBgsX//foNtkpOTha+vr7CyshKurq4iKipKqvvRHuTn59f7PEuWLBHBwcEGY7X93LFjh+jUqZNQqVQiKipKlJeXi9TUVNGuXTvh6OgoEhISRHV1tcG+kyZNEuPGjXv6plCrx1sKEj1BQkIC0tPTMX78eGRnZ2PevHkIDAx86uOoVCpUVlZCr9dj+PDhUKvVyMzMRHV1NeLi4hAdHY1Dhw4BAMaOHYsePXpgzZo1MDMzg0ajgYWFRZ1jRkdH4/z589izZw9++uknADW3pntUeXk5IiIiEBoaipMnT+LGjRt49913ER8fj9TUVGm7jIwMeHh4ICMjA5cuXUJ0dDS6d++O2NjYp369T+Pu3bt48803MX/+fFhZWeHbb7/F0KFDkZeXB29vb5w6dQrvv/8+NmzYgLCwMJSUlODw4cMAgOXLl+O3335D165d8cUXXwCouX92fQ4fPozg4OA64xUVFVixYgU2b94MrVaLUaNGYeTIkXB0dMSuXbvwxx9/ICoqCn379kV0dLS0X0hICBYtWtQMHaEXntLpT9QS5ObmCgAiICCgUbdufHjmW11dLTZs2CAAiFWrVol9+/YJMzMzUVhYKG1/4cIFAUCcOHFCCCGEnZ2dSE1NrffYD898hRAiKSlJBAYG1tkOD818161bJ5ycnMTdu3el9T/++KMwNTWVZtwxMTGiXbt2BrO70aNHi+jo6Ce+3obUznxVKpWwtbU1eDSkS5cuYuXKlUIIIb777jthb28vysrK6t22vnca6hMYGCi++OILg7Hadw8uXbokjU2ZMkXY2NgYvDMQEREhpkyZYrDv9u3bhampqdDpdE98bqKH8TNfokb45ptvYGNjg/z8fFy9erVR+6xevRpqtRoqlQqxsbGYMWMGpk6ditzcXHh5ecHLy0va1t/fH46OjsjNzQUAJCYm4t1330V4eDgWLVqE33///bnqz83NRWBgIGxtbaWxvn37Qq/XIy8vTxrr0qULzMzMpGUPDw/cuHGj3mMWFhZCrVZLjwULFjRYw5YtW6DRaAwete7evYuZM2fCz88Pjo6OUKvVyM3NRWFhIQDg9ddfR7t27dChQweMHz8eGzduREVFxVP34d69e7C2tq4zbmNjg1deeUVadnNzg4+PD9RqtcHYo71QqVTQ6/V48ODBU9dCrRvDl+gJjh49iq+++go7d+5ESEgIJk+eDNGI22CPHTsWGo0G+fn5KC8vx7Jly2Bq2rj/cp999hkuXLiAIUOG4ODBg/D390d6evrzvpQnevStbRMTk8eezevp6WkQpO+9916Dx/by8oKvr6/Bo9bMmTORnp6OBQsW4PDhw9BoNAgICEBlZSUAwM7ODmfOnEFaWho8PDykt/5LS0uf6vW1adMGt2/fbtTrbkwvSkpKYGtrC5VK9VR1EDF8iRpQUVGBiRMnYurUqRgwYAC+/vprnDhxAmvXrn3ivg4ODvD19cXLL79sELp+fn64cuUKrly5Io3l5OSgtLQU/v7+0linTp0wY8YM7Nu3D6NGjUJKSkq9z2NpaQmdTtdgLX5+fjh79izKy8ulsSNHjsDU1BSdO3d+4mupj7m5uUGQOjs7P9NxamuZOHEiRo4ciYCAALi7u6OgoKDO84WHh2Px4sU4d+4cCgoKcPDgQQCN6wEA9OjRAzk5Oc9c56POnz+PHj16NNnxqPVg+BI1YPbs2RBCSCfV+Pj4YOnSpfj444/rhENjhYeHIyAgAGPHjsWZM2dw4sQJTJgwAf369UNwcDDu3buH+Ph4HDp0CJcvX8aRI0dw8uRJ+Pn51Xs8Hx8f5OfnQ6PR4ObNm/W+BTp27FhYW1sjJiYG58+fR0ZGBhISEjB+/Hi4ubk90+t4Wrdu3UJRUZHB4/79+wCAjh074vvvv4dGo8HZs2fxzjvvGMwyd+7ciRUrVkCj0eDy5cv49ttvodfrpT8cfHx8kJWVhYKCAty8efOxs/WIiAgcO3asUUHdGIcPH8bgwYOb5FjUujB8iR4jMzMTycnJSElJgY2NjTQ+ZcoUhIWFNfrt50eZmJhg+/btcHJywmuvvYbw8HB06NABW7ZsAVDz/eJbt25hwoQJ6NSpE8aMGYPIyEh8/vnn9R4vKioKb7zxBgYMGAAXF5d6v0tsY2ODvXv3oqSkBL169cJbb72FQYMGYdWqVU9d/7MKDw+Hh4eHwaP2ClzLli2Dk5MTwsLCMHToUERERKBnz57Svo6Ojvj+++8xcOBA+Pn5Ye3atUhLS0OXLl0A1LxtbWZmBn9/f7i4uEifFT8qMjIS5ubm0pnhz+PPP//E0aNHMWnSpOc+FrU+JuJZfnsQEbVQycnJ+OGHH7B3797nOs6sWbNw+/ZtrFu3rokqo9aE3/MlolZlypQpKC0thVarfa5LTLq6uiIxMbEJK6PWhDNfIiIimfEzXyIiIpkxfImIiGTG8CUiIpIZw5eIiEhmDF8iIiKZMXyJiIhkxvAlIiKSGcOXiIhIZgxfIiIimf0fmTMBSNWWzQkAAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] @@ -1335,10 +1344,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.886966Z", - "iopub.status.busy": "2025-11-27T09:14:09.886806Z", - "iopub.status.idle": "2025-11-27T09:14:09.900574Z", - "shell.execute_reply": "2025-11-27T09:14:09.899901Z" + "iopub.execute_input": "2025-11-27T09:37:08.893961Z", + "iopub.status.busy": "2025-11-27T09:37:08.893796Z", + "iopub.status.idle": "2025-11-27T09:37:08.906719Z", + "shell.execute_reply": "2025-11-27T09:37:08.905996Z" } }, "outputs": [], @@ -1371,10 +1380,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.902283Z", - "iopub.status.busy": "2025-11-27T09:14:09.902127Z", - "iopub.status.idle": "2025-11-27T09:14:09.915655Z", - "shell.execute_reply": "2025-11-27T09:14:09.915044Z" + "iopub.execute_input": "2025-11-27T09:37:08.908340Z", + "iopub.status.busy": "2025-11-27T09:37:08.908165Z", + "iopub.status.idle": "2025-11-27T09:37:08.921712Z", + "shell.execute_reply": "2025-11-27T09:37:08.920969Z" } }, "outputs": [ @@ -1387,13 +1396,13 @@ "================================================================================\n", "Metric 6 DOF 3 DOF Difference Diff %\n", "--------------------------------------------------------------------------------\n", - "Apogee (AGL) 460.55 460.85 0.30 0.07%\n", + "Apogee (AGL) 460.56 460.85 0.29 0.06%\n", "Time to Apogee 10.61 10.61 0.00 0.00%\n", "Max Velocity 86.22 86.23 0.01 0.01%\n", - "Impact X -0.29 31.18 31.47 -10989.41%\n", - "Impact Y -8.15 39.81 47.96 -588.39%\n", + "Impact X -0.29 31.18 31.47 -10959.08%\n", + "Impact Y -8.15 39.81 47.96 -588.27%\n", "Impact Velocity -19.57 -19.57 0.00 -0.00%\n", - "Flight Duration 35.54 35.50 -0.04 -0.12%\n", + "Flight Duration 35.55 35.50 -0.04 -0.12%\n", "================================================================================\n" ] } @@ -1432,10 +1441,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.917397Z", - "iopub.status.busy": "2025-11-27T09:14:09.917244Z", - "iopub.status.idle": "2025-11-27T09:14:09.929858Z", - "shell.execute_reply": "2025-11-27T09:14:09.929077Z" + "iopub.execute_input": "2025-11-27T09:37:08.923262Z", + "iopub.status.busy": "2025-11-27T09:37:08.923101Z", + "iopub.status.idle": "2025-11-27T09:37:08.933897Z", + "shell.execute_reply": "2025-11-27T09:37:08.933350Z" } }, "outputs": [ @@ -1444,10 +1453,10 @@ "output_type": "stream", "text": [ "Apogee (AGL)\n", - "6 DOF: 460.55 m\n", + "6 DOF: 460.56 m\n", "3 DOF: 460.85 m\n", - "Absolute difference: 0.30 m\n", - "Relative difference: 0.07 %\n" + "Absolute difference: 0.29 m\n", + "Relative difference: 0.06 %\n" ] } ], @@ -1469,10 +1478,10 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.931257Z", - "iopub.status.busy": "2025-11-27T09:14:09.931104Z", - "iopub.status.idle": "2025-11-27T09:14:09.943735Z", - "shell.execute_reply": "2025-11-27T09:14:09.942955Z" + "iopub.execute_input": "2025-11-27T09:37:08.935585Z", + "iopub.status.busy": "2025-11-27T09:37:08.935444Z", + "iopub.status.idle": "2025-11-27T09:37:08.945498Z", + "shell.execute_reply": "2025-11-27T09:37:08.944910Z" } }, "outputs": [ @@ -1504,10 +1513,10 @@ "execution_count": 34, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.945175Z", - "iopub.status.busy": "2025-11-27T09:14:09.945020Z", - "iopub.status.idle": "2025-11-27T09:14:09.957245Z", - "shell.execute_reply": "2025-11-27T09:14:09.956626Z" + "iopub.execute_input": "2025-11-27T09:37:08.947078Z", + "iopub.status.busy": "2025-11-27T09:37:08.946946Z", + "iopub.status.idle": "2025-11-27T09:37:08.956536Z", + "shell.execute_reply": "2025-11-27T09:37:08.955877Z" } }, "outputs": [ @@ -1536,10 +1545,10 @@ "execution_count": 35, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.958930Z", - "iopub.status.busy": "2025-11-27T09:14:09.958777Z", - "iopub.status.idle": "2025-11-27T09:14:09.971966Z", - "shell.execute_reply": "2025-11-27T09:14:09.971181Z" + "iopub.execute_input": "2025-11-27T09:37:08.958148Z", + "iopub.status.busy": "2025-11-27T09:37:08.957998Z", + "iopub.status.idle": "2025-11-27T09:37:08.968722Z", + "shell.execute_reply": "2025-11-27T09:37:08.967978Z" } }, "outputs": [ @@ -1582,10 +1591,10 @@ "execution_count": 36, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:14:09.973371Z", - "iopub.status.busy": "2025-11-27T09:14:09.973218Z", - "iopub.status.idle": "2025-11-27T09:14:09.985499Z", - "shell.execute_reply": "2025-11-27T09:14:09.984917Z" + "iopub.execute_input": "2025-11-27T09:37:08.970248Z", + "iopub.status.busy": "2025-11-27T09:37:08.970091Z", + "iopub.status.idle": "2025-11-27T09:37:08.979898Z", + "shell.execute_reply": "2025-11-27T09:37:08.979173Z" } }, "outputs": [ @@ -1595,7 +1604,7 @@ "text": [ "\n", "Flight Duration\n", - "6 DOF: 35.54 s\n", + "6 DOF: 35.55 s\n", "3 DOF: 35.50 s\n", "Absolute difference: 0.04 s\n" ] @@ -1622,15 +1631,32 @@ "\n", "2. **6 DOF Simulation**: Using the full `Rocket` class with complete aerodynamic surfaces and rotational dynamics.\n", "\n", - "3. **Comparison**: The key differences between 3 DOF and 6 DOF simulations:\n", - " - 3 DOF is faster computationally as it ignores rotational dynamics\n", - " - 6 DOF provides more accurate results when rotational effects are significant\n", - " - For high-stability rockets with minimal rotational effects, 3 DOF can provide reasonable estimates\n", + "3. **Comparison Results**:\n", + "\n", + "### What Works Well in 3 DOF:\n", + "- **Apogee prediction**: Nearly identical to 6 DOF (within ~0.5 m difference)\n", + "- **Maximum speed**: Virtually identical to 6 DOF\n", + "- **Flight duration**: Nearly identical to 6 DOF\n", + "- **Impact velocity**: Nearly identical to 6 DOF\n", + "\n", + "### Known Limitation - Lateral Motion:\n", + "The lateral landing coordinates (Impact X, Y) show significant discrepancy between 3 DOF and 6 DOF. This is a **known limitation** of the current 3 DOF implementation in RocketPy:\n", + "\n", + "- The 3 DOF model maintains the rocket's initial orientation (based on launch inclination and heading) throughout the flight\n", + "- It does not implement weathercocking (rocket aligning with velocity vector)\n", + "- This causes thrust and drag to be applied along the fixed initial direction rather than along the flight path\n", + "- The result is artificial lateral drift in the 3 DOF simulation\n", + "\n", + "### When to Use 3 DOF:\n", + "- Quick preliminary analysis of vertical performance (apogee, max speed)\n", + "- When computational speed is more important than lateral accuracy\n", + "- For nearly vertical trajectories where lateral motion is minimal\n", "\n", - "The differences observed are primarily due to:\n", - "- Lift forces generated by fins and nose cone (present only in 6 DOF)\n", - "- Angle of attack effects (present only in 6 DOF)\n", - "- Rotational dynamics affecting the trajectory (present only in 6 DOF)" + "### When to Use 6 DOF:\n", + "- Accurate landing location prediction\n", + "- Analysis of rocket stability and rotational dynamics\n", + "- When wind effects on trajectory are important\n", + "- For trajectories with significant lateral components" ] } ], From 27b8c8d0917d20fe0067d24dee1e7c0833384060 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 27 Nov 2025 10:47:14 +0000 Subject: [PATCH 56/56] Use PointMassMotor for 3 DOF simulation instead of SolidMotor Co-authored-by: aZira371 <99824864+aZira371@users.noreply.github.com> --- docs/examples/bella_lui_3dof_flight_sim.ipynb | 367 +++++++++--------- 1 file changed, 188 insertions(+), 179 deletions(-) diff --git a/docs/examples/bella_lui_3dof_flight_sim.ipynb b/docs/examples/bella_lui_3dof_flight_sim.ipynb index 3eda94567..7ad2869f3 100644 --- a/docs/examples/bella_lui_3dof_flight_sim.ipynb +++ b/docs/examples/bella_lui_3dof_flight_sim.ipynb @@ -30,10 +30,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:05.063210Z", - "iopub.status.busy": "2025-11-27T09:37:05.063037Z", - "iopub.status.idle": "2025-11-27T09:37:05.476560Z", - "shell.execute_reply": "2025-11-27T09:37:05.475758Z" + "iopub.execute_input": "2025-11-27T10:46:51.401321Z", + "iopub.status.busy": "2025-11-27T10:46:51.401110Z", + "iopub.status.idle": "2025-11-27T10:46:51.422162Z", + "shell.execute_reply": "2025-11-27T10:46:51.421366Z" } }, "outputs": [], @@ -47,10 +47,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:05.479059Z", - "iopub.status.busy": "2025-11-27T09:37:05.478874Z", - "iopub.status.idle": "2025-11-27T09:37:06.390239Z", - "shell.execute_reply": "2025-11-27T09:37:06.389485Z" + "iopub.execute_input": "2025-11-27T10:46:51.424295Z", + "iopub.status.busy": "2025-11-27T10:46:51.424139Z", + "iopub.status.idle": "2025-11-27T10:46:52.731970Z", + "shell.execute_reply": "2025-11-27T10:46:52.731189Z" } }, "outputs": [], @@ -59,7 +59,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", - "from rocketpy import Environment, Flight, Function, Rocket, SolidMotor\n", + "from rocketpy import Environment, Flight, Function, Rocket, SolidMotor, PointMassMotor\n", "from rocketpy.rocket import PointMassRocket" ] }, @@ -68,10 +68,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.392794Z", - "iopub.status.busy": "2025-11-27T09:37:06.392498Z", - "iopub.status.idle": "2025-11-27T09:37:06.480886Z", - "shell.execute_reply": "2025-11-27T09:37:06.480162Z" + "iopub.execute_input": "2025-11-27T10:46:52.734341Z", + "iopub.status.busy": "2025-11-27T10:46:52.734035Z", + "iopub.status.idle": "2025-11-27T10:46:52.895645Z", + "shell.execute_reply": "2025-11-27T10:46:52.894820Z" } }, "outputs": [], @@ -93,10 +93,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.483297Z", - "iopub.status.busy": "2025-11-27T09:37:06.483094Z", - "iopub.status.idle": "2025-11-27T09:37:06.497619Z", - "shell.execute_reply": "2025-11-27T09:37:06.496903Z" + "iopub.execute_input": "2025-11-27T10:46:52.897978Z", + "iopub.status.busy": "2025-11-27T10:46:52.897798Z", + "iopub.status.idle": "2025-11-27T10:46:52.912689Z", + "shell.execute_reply": "2025-11-27T10:46:52.911825Z" } }, "outputs": [], @@ -158,10 +158,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.499218Z", - "iopub.status.busy": "2025-11-27T09:37:06.499054Z", - "iopub.status.idle": "2025-11-27T09:37:06.521242Z", - "shell.execute_reply": "2025-11-27T09:37:06.520482Z" + "iopub.execute_input": "2025-11-27T10:46:52.914418Z", + "iopub.status.busy": "2025-11-27T10:46:52.914251Z", + "iopub.status.idle": "2025-11-27T10:46:52.937771Z", + "shell.execute_reply": "2025-11-27T10:46:52.937008Z" } }, "outputs": [], @@ -189,10 +189,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.522844Z", - "iopub.status.busy": "2025-11-27T09:37:06.522671Z", - "iopub.status.idle": "2025-11-27T09:37:06.708268Z", - "shell.execute_reply": "2025-11-27T09:37:06.707408Z" + "iopub.execute_input": "2025-11-27T10:46:52.939978Z", + "iopub.status.busy": "2025-11-27T10:46:52.939796Z", + "iopub.status.idle": "2025-11-27T10:46:53.132035Z", + "shell.execute_reply": "2025-11-27T10:46:53.131191Z" } }, "outputs": [ @@ -269,9 +269,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Motor Setup (Common)\n", + "## Motor Setup (6 DOF)\n", "\n", - "Create the motor object to be used in both simulations" + "Create the SolidMotor object for the 6 DOF simulation. The 3 DOF simulation will use a simpler PointMassMotor." ] }, { @@ -279,10 +279,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.737088Z", - "iopub.status.busy": "2025-11-27T09:37:06.736853Z", - "iopub.status.idle": "2025-11-27T09:37:06.856790Z", - "shell.execute_reply": "2025-11-27T09:37:06.856026Z" + "iopub.execute_input": "2025-11-27T10:46:53.163803Z", + "iopub.status.busy": "2025-11-27T10:46:53.163537Z", + "iopub.status.idle": "2025-11-27T10:46:53.284797Z", + "shell.execute_reply": "2025-11-27T10:46:53.283971Z" } }, "outputs": [ @@ -363,10 +363,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.858756Z", - "iopub.status.busy": "2025-11-27T09:37:06.858574Z", - "iopub.status.idle": "2025-11-27T09:37:06.878542Z", - "shell.execute_reply": "2025-11-27T09:37:06.877820Z" + "iopub.execute_input": "2025-11-27T10:46:53.286601Z", + "iopub.status.busy": "2025-11-27T10:46:53.286428Z", + "iopub.status.idle": "2025-11-27T10:46:53.307936Z", + "shell.execute_reply": "2025-11-27T10:46:53.307213Z" } }, "outputs": [], @@ -393,10 +393,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.880155Z", - "iopub.status.busy": "2025-11-27T09:37:06.880010Z", - "iopub.status.idle": "2025-11-27T09:37:06.904956Z", - "shell.execute_reply": "2025-11-27T09:37:06.904286Z" + "iopub.execute_input": "2025-11-27T10:46:53.309508Z", + "iopub.status.busy": "2025-11-27T10:46:53.309353Z", + "iopub.status.idle": "2025-11-27T10:46:53.335334Z", + "shell.execute_reply": "2025-11-27T10:46:53.334495Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.906507Z", - "iopub.status.busy": "2025-11-27T09:37:06.906353Z", - "iopub.status.idle": "2025-11-27T09:37:06.916955Z", - "shell.execute_reply": "2025-11-27T09:37:06.916300Z" + "iopub.execute_input": "2025-11-27T10:46:53.337114Z", + "iopub.status.busy": "2025-11-27T10:46:53.336946Z", + "iopub.status.idle": "2025-11-27T10:46:53.349124Z", + "shell.execute_reply": "2025-11-27T10:46:53.348493Z" } }, "outputs": [], @@ -452,10 +452,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.918518Z", - "iopub.status.busy": "2025-11-27T09:37:06.918379Z", - "iopub.status.idle": "2025-11-27T09:37:06.929210Z", - "shell.execute_reply": "2025-11-27T09:37:06.928542Z" + "iopub.execute_input": "2025-11-27T10:46:53.350995Z", + "iopub.status.busy": "2025-11-27T10:46:53.350840Z", + "iopub.status.idle": "2025-11-27T10:46:53.363122Z", + "shell.execute_reply": "2025-11-27T10:46:53.362513Z" } }, "outputs": [], @@ -500,10 +500,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.930664Z", - "iopub.status.busy": "2025-11-27T09:37:06.930508Z", - "iopub.status.idle": "2025-11-27T09:37:06.940477Z", - "shell.execute_reply": "2025-11-27T09:37:06.939900Z" + "iopub.execute_input": "2025-11-27T10:46:53.364801Z", + "iopub.status.busy": "2025-11-27T10:46:53.364630Z", + "iopub.status.idle": "2025-11-27T10:46:53.375037Z", + "shell.execute_reply": "2025-11-27T10:46:53.374448Z" } }, "outputs": [ @@ -577,10 +577,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:06.942095Z", - "iopub.status.busy": "2025-11-27T09:37:06.941944Z", - "iopub.status.idle": "2025-11-27T09:37:07.206214Z", - "shell.execute_reply": "2025-11-27T09:37:07.205448Z" + "iopub.execute_input": "2025-11-27T10:46:53.376669Z", + "iopub.status.busy": "2025-11-27T10:46:53.376533Z", + "iopub.status.idle": "2025-11-27T10:46:53.639511Z", + "shell.execute_reply": "2025-11-27T10:46:53.638664Z" } }, "outputs": [], @@ -600,10 +600,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.208478Z", - "iopub.status.busy": "2025-11-27T09:37:07.208287Z", - "iopub.status.idle": "2025-11-27T09:37:07.478752Z", - "shell.execute_reply": "2025-11-27T09:37:07.477855Z" + "iopub.execute_input": "2025-11-27T10:46:53.641747Z", + "iopub.status.busy": "2025-11-27T10:46:53.641440Z", + "iopub.status.idle": "2025-11-27T10:46:53.922066Z", + "shell.execute_reply": "2025-11-27T10:46:53.921224Z" } }, "outputs": [ @@ -759,10 +759,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.480789Z", - "iopub.status.busy": "2025-11-27T09:37:07.480619Z", - "iopub.status.idle": "2025-11-27T09:37:07.494703Z", - "shell.execute_reply": "2025-11-27T09:37:07.494085Z" + "iopub.execute_input": "2025-11-27T10:46:53.924039Z", + "iopub.status.busy": "2025-11-27T10:46:53.923869Z", + "iopub.status.idle": "2025-11-27T10:46:53.937158Z", + "shell.execute_reply": "2025-11-27T10:46:53.936522Z" } }, "outputs": [], @@ -807,14 +807,23 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.496379Z", - "iopub.status.busy": "2025-11-27T09:37:07.496228Z", - "iopub.status.idle": "2025-11-27T09:37:07.513276Z", - "shell.execute_reply": "2025-11-27T09:37:07.512537Z" + "iopub.execute_input": "2025-11-27T10:46:53.938988Z", + "iopub.status.busy": "2025-11-27T10:46:53.938835Z", + "iopub.status.idle": "2025-11-27T10:46:53.960854Z", + "shell.execute_reply": "2025-11-27T10:46:53.960168Z" } }, "outputs": [], "source": [ + "# Create 3 DOF Point Mass Motor\n", + "# The PointMassMotor is simpler and appropriate for 3 DOF simulations\n", + "k828fj_3dof = PointMassMotor(\n", + " thrust_source=\"../../data/motors/aerotech/AeroTech_K828FJ.eng\",\n", + " dry_mass=0.001,\n", + " propellant_initial_mass=1.373, # From the original motor data\n", + " burn_time=parameters.get(\"burn_time\")[0],\n", + ")\n", + "\n", "# Create 3 DOF Point Mass Rocket\n", "bella_lui_3dof = PointMassRocket(\n", " radius=parameters.get(\"radius\")[0],\n", @@ -824,8 +833,8 @@ " power_on_drag=power_on_drag_3dof,\n", ")\n", "\n", - "# Add motor to the 3 DOF rocket\n", - "bella_lui_3dof.add_motor(motor=k828fj, position=parameters.get(\"distance_rocket_nozzle\")[0])" + "# Add the PointMassMotor to the 3 DOF rocket\n", + "bella_lui_3dof.add_motor(motor=k828fj_3dof, position=parameters.get(\"distance_rocket_nozzle\")[0])" ] }, { @@ -833,10 +842,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.514799Z", - "iopub.status.busy": "2025-11-27T09:37:07.514653Z", - "iopub.status.idle": "2025-11-27T09:37:07.526447Z", - "shell.execute_reply": "2025-11-27T09:37:07.525624Z" + "iopub.execute_input": "2025-11-27T10:46:53.962336Z", + "iopub.status.busy": "2025-11-27T10:46:53.962198Z", + "iopub.status.idle": "2025-11-27T10:46:53.972879Z", + "shell.execute_reply": "2025-11-27T10:46:53.972128Z" } }, "outputs": [], @@ -857,10 +866,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.527988Z", - "iopub.status.busy": "2025-11-27T09:37:07.527835Z", - "iopub.status.idle": "2025-11-27T09:37:07.539779Z", - "shell.execute_reply": "2025-11-27T09:37:07.539028Z" + "iopub.execute_input": "2025-11-27T10:46:53.974403Z", + "iopub.status.busy": "2025-11-27T10:46:53.974263Z", + "iopub.status.idle": "2025-11-27T10:46:53.985065Z", + "shell.execute_reply": "2025-11-27T10:46:53.984495Z" } }, "outputs": [ @@ -888,10 +897,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.541250Z", - "iopub.status.busy": "2025-11-27T09:37:07.541087Z", - "iopub.status.idle": "2025-11-27T09:37:07.582907Z", - "shell.execute_reply": "2025-11-27T09:37:07.582145Z" + "iopub.execute_input": "2025-11-27T10:46:53.986520Z", + "iopub.status.busy": "2025-11-27T10:46:53.986369Z", + "iopub.status.idle": "2025-11-27T10:46:54.023765Z", + "shell.execute_reply": "2025-11-27T10:46:54.022841Z" } }, "outputs": [ @@ -920,10 +929,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.584411Z", - "iopub.status.busy": "2025-11-27T09:37:07.584251Z", - "iopub.status.idle": "2025-11-27T09:37:07.743439Z", - "shell.execute_reply": "2025-11-27T09:37:07.742585Z" + "iopub.execute_input": "2025-11-27T10:46:54.025423Z", + "iopub.status.busy": "2025-11-27T10:46:54.025254Z", + "iopub.status.idle": "2025-11-27T10:46:54.168938Z", + "shell.execute_reply": "2025-11-27T10:46:54.168203Z" } }, "outputs": [ @@ -931,15 +940,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "3 DOF Flight - Apogee: 460.85 m AGL\n", - "3 DOF Flight - Time to Apogee: 10.61 s\n", - "3 DOF Flight - Max Speed: 86.23 m/s\n", - "3 DOF Flight - Impact Point: (31.18, 39.81) m\n" + "3 DOF Flight - Apogee: 447.94 m AGL\n", + "3 DOF Flight - Time to Apogee: 10.49 s\n", + "3 DOF Flight - Max Speed: 84.79 m/s\n", + "3 DOF Flight - Impact Point: (30.30, 38.48) m\n" ] }, { "data": { - "image/png": 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imSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEARBEARBEAGQSCYIgiAIgiCIAEgkEwRBEARBEEQAJJIJgiAIgiAIIgASyQRBEARBEAQRAIlkgiAIgiAIggiARDJBEARBEARBBEAimSAIgiAIgiACIJFMEAQxQBAEAV6vF4IgJDoUgiCIwx5logMgCIIgghEEQRTFPp8PXq8XHo8H5eXlSElJQUFBAWQyGeRyOeRyOWQyGWQyWaLDJgiCOGwgkUwQBMEBPp9PFMNMEPt8PlEsA4BcLsfBgwfh8XiQl5cHQRD8hDETzFLRTMKZIAgiMkgkEwRBxJlAQcweUkEcmCWWwl4DIL5fEATxO0k4EwRB9B8SyQRBEDGElUyEEsTsdakgBtAnEcveK/1MT8KZLUv6LwlngiCIYEgkEwRBRAlpDbHH4+k1Q8z+jja9CWev1xv0fhLOBEEQ/pBIJgiCiIDASXWsjpgJYqlQVSgU4v8TRaTCOVA0k3AmCOJIgUQyQRBEL0jLFqQPNrEuXoKYCXCfzxeV7wtHOEvFMwlngiCOJGQCNdwkCIIQCRTETqcTDocDBoPBr2QiHiLR7XbDZrPBbreL/7rdbgCAVquFyWSCyWSC0WiE0WiEUhmbvIdUOEvx+XxobW1FRkYGFAoFCWeCIA4rSCQTBHHEIhXE0jpilqkVBAEtLS2orq7GxIkTYyr+Ojs7/cSwzWaDy+WCVquFwWAQhfDmzZthNptRWFgIq9UKm80Gq9UKl8sFvV4vimaTyQSDwSBmtqONIAhwu9346aefMGfOHMjlcjGrHphxjmX9NUEQRKygcguCII4ImCCWGnMECmKpwGP/ZyKTCb1o4PF4YLfb/USx0+lEUlKSKIbz8/NhMBiCssMsvoyMDGRkZIjPd3R0iKK5qakJe/bsgcfjEQU2yzrr9fqo/JZQbeYCSzU8Ho/4XhLOBEEMNEgkEwRx2BEoiKXmHOz1UII4Fni9XjgcDr8McXt7OzQajShgc3JyYDQaoVKpIl5OUlISkpKSkJWVBaDrNzqdTjHTXFdXh/Lycvh8PhgMBlE0m0wm6HS6qPz+3mqcmWhm7yHhTBAEz5BIJghiQNOdIJa2XQMQF0Hs8/ngcDj8MsRtbW1QKpUwGo0wGAzIzMyEwWCARqOJSQwMmUwGrVYLrVaL7OxsAF3rqr29HVarFVarFfv378f27dsBQMw2s3+1Wm3ChTPZbRMEkUhIJBMEMWBgwldaQ8wEsc/n8xNkUlEcjeUG4vP50N7e7pchdjgcUCgUYoa4uLgYRqMRGo2GC6Enk8mg0+mg0+mQm5sLoOt3tLW1iaUa1dXVsNlsUCgUfqLZZDIhKSkprsKZvS7NNJNwJggiXpBIJgiCSwIFsbRkgpVNSDspKJXKmAknQRDQ1tYWVEcsk8lgMBhgMBhQWFgIg8GA5OTkASXg5HK5+BsYPp8PdrtdFM4VFRVwOBxQqVR+ojma2fBA4Sy9MGGt9qSvk3AmCCLWUHcLgiASTk+CWFo2EQ83OEEQ0NHRIYrhlpYWOBwOyOVy6PV6sWzCaDRGrSShL/z8889ISUnBuHHj4rpcr9cLm80m1jhbrVa0tbUBADIzM/2yzmq1OiYxSE9XgS6GAAlngiCiC2WSCYKIO91NqhMEAZWVlZDJZCgpKYlqyUR3uFyuoF7EHo8Her0eBoMBZrMZHo8HU6dOjWqHi4GGQqFASkoKUlJSxOccDoco2q1WK2pra9He3o7k5GS/Hs4mkykqPZyl+0FgxpmV3KxZswYlJSVIT08HgJD1zSScCYIIBxLJBEHEBJ/Ph1anBQ32JjQ5mpFjyEK+IUcUxlJxI83+sedj0d/X7XYH9SJ2u93Q6XQwGAxIT0/HoEGDoNPpxOU3NzejtbX1iBbI3cGEb3FxsSg8mQGK1WqFxWJBdXU1Ojo6oNPp/ESz0WiMyjYOLNPo7OwU/5b2wQ6sV5fJZGjetgU+txvajExo0zOgNhhIQBMEIUIimSCIqGHvcOCjzV/hrfUfYmXlb/AKhyyNU5PN2HztT0hWJYmCGIhduy9mziEVxR0dHaI5BzPk0Ov1MXOqOxJRq9VIT08XM7lAV7ae1Tc3Nzdj7969cLvdovkJexgMhqj1cA7MGEsvygRBQN3vv+LTecf7fU6l16P0lNMx4qJLUDhrNhS0XxDEEQ2NAARBRERgDXGHuwMjnp6JhrYmv/cZNQbo1Mm4fPyFMCTrxc8esNcjz5gT9L2RiGav1xuUIWbmHKx+OC8vDwaDIaJexDR1o39oNBpkZmYiMzMTQNf6ZMLZarWioaEBu3fvFs1PAns4R0s4O2proM/LBwDkTpmGvGNmwrq3Ah2tLfA4neh0OLDz/Xew8/13MPic83HSf94MKtOgTDNBHDmQSCYIolcCBXFgL2ImHI4vPQa/12zABaPPwFkjT0ahOQ9qhVr8DsYPFStx/gdXY8HYs3HrMYtQaM4LWl53MHOOwF7EarVanFSXnZ0Ng8EQswlkhD99FY4ymaxb8xMmnGtra7Fjxw4IghDUw7kn85NQ+86B1avw+2MPonHDely6aSeSUlIhk8lwxhffHSrTaG/HwS2bUP7he9j9yWIUnzhP3NelcYeqbybhTBCHJySSCYLwQ1rHKX0EtuHa01KJW/57Px454U6MzRkJAHhy3r3QqUJ3fJA+91PlKnh8Hryx4QO8u+kTXDruXNxyzJ+CMsush680Q8zMOViGOCMjQ+xFTMSXaGbYpeYnOTk54vdLezjv378f27Ztg0wm82tFZzKZ/FrvsX/r1/yG3x57EPt/XAoAkKtUqFv9C0pOPsXvfQCg0mqRM2UacqZMw4xH/gZIHAA3vvgcWnbuwPT7HobaaCThTBBHCNQCjiCOYMIVxIGPz3f8F1d9dis6PC4cXTgJ3yx8t8/LXr1vLR5Z/ixWVK0GAKgVKlw8+mzMzzgOBlnXxDmHwyEKIiaKDQZD1EwtwqGlpQW7du3C1KlT47K83khUC7hQOJ1OLF++HCeddFLclslcDaWt6Ox2u+hqaLPZYHLYUPPmq6j58XsAgFypxPAFCzHh5ttgLCzq0/KcLc14c8wQdLa1wVhUjFMXf4GUwUP8apwDIeFMEIcHlEkmiCMEqSBmbnWtra3weDwwm81i2URv9s2vrHsXt3xzHwQImFUyHc+d+mhEsYxNH4GXT3gCP+1ZhX9tegObW3bg1Y3vY4XhV7ww/WHk5+fDaDQOOHMOIrbI5XIYjUYYjUbk53fVF0vNTw5WVeLXRZcDXi8glyPjxJMx/E/XIXv4CGhMpj4vLzk1DfPf/wQ/XHsVbNVV+Pik43Dqh58ha8IkAN27Bkq7uNTX1yM1NRVardavl3Pg5wmC4AsSyQRxGMIEsdSYg4lj9rpMJsPBgwfR2dmJtLS0Xk/WgiDgsRX/xGMr/gkAuHz8Bfj7vPugkPfcxktqziGtI/Z6vTAYDBifMQrvn/ECNlt34h+/vYSziubBZDIhOzs7OiuDOOyRy+Vi2UVVVRVKz70ACkHAsKuvgy8lFVarFeXl5Whra0NSUlKQ3XZvkznzjzkW5/3wM7487ww0bliHT0+bi3lvvI+iOSf6va87u+09e/Zg5MiR0Gg0fpbbgRlnEs4EwRckkgligBMoiAMn1fWUIe6LK9nDy57G337+FwDgjpnX446Z14f8nMvlCuo04fF4xF7EmZmZKCsrC+pakJeXh5OGH489e/aIYt7mssOoMQQtI95QVVpoeFkvPq8X3o4OqHQ6AMCkBx/3a0HH6Ozs9HMNrKmpgdPphFar9RPNRqMxqC1gcnoGzvjiO3y78ALs/3Epvr7obJz81oconjuvx9hYv2Zp20NpxpmJZvZeEs4EwQ8kkgliACG1bw4liBmBori37+wNl8eFldW/AQAen3sX/jR5IYBDokMqil0ulyg6UlNTUVxcDL1eH5ZxBIvZ5/Ph3U2f4I4lD+PDC/6NqQUTev0skRh4EG/r/vE4yj98Dye+/IYoSEOhUqmQlpaGtLQ08Tm32y1ODGxtbUVVVRVcLpdofiLt4azW63HKe5/g+6svx57PPkb9ml97FcmMUG6B3ZVqSLPN7N9QzoEEQcQWEskEwSlSQcxqiNn/WaZVOiEoEvvmcN+vUWrw4Xn/xudb/4tjs6Zg69atsNls6OjoQHJysmjOUVBQAIPB0G9zDkEQsLxyNawdNlz52a34+covYEpKfEaZ4I/6Nb/h98cfhuD1orV8J5Cd1/uHJKjVamRkZCAjI0N8rqOjQ8w2NzU1Yc+ePaJVuclkwrC7HkD2cXMwesGlYS0jnAvRvgpnaaaZhDNBxAYSyQTBAYGCmGWIpYIYOHRiVCqVUTshhjqBM3OOXXV7oPMlw263o729HaWaPNhsNhgMBuTm5kZszhEOf5t3D1bvX4tqSw3+8t/78e8znozJcnqDhAe/uG02LLnqMgheLwaffR6GnHch6pYv7/f3sh7OUvOTjo4OsZtGU0sLrLkFWLp0aVfHleRkKGxW5I8bD71e32sLxHAJFM7SYzWwAw1Awpkgog2JZIKIM0wQB9YQs5MeO/HFQhAHwuolWZ2mtBfxXud+/HXTE7h0+Dm4/ZjrYDKZ4mLOwWIyagx4+Yy/Y94bF+GDLZ/jhNKZOHf0aTFfPjFwWHHHzbBVVcJQUIhZf382ZDY2GshkMiQnJyM5OVmcUCoIAtrb23HwQC1WXXslbOU7kX//o9DkFQS5Bvp8vqjEFKpkQ5ptZmOI9H2B9c0knAkifEgkE0SMCZxUJ20NJc0ESU9msYylra1N7DTR1NQEt9uN5uZmsQfxoEGD0OK14o/v3AGX1419rgNITUvttYtFLJhSMB63zbgWj654Fjd/ey8mF4xHkTk/7nHwMkGNOMTuTxZj53tvQyaX44QXX4XGZI7r8mUyGXQ6HVTZOVB6vfDYrDj45COY9+m38Gi1sFqtqK6uht1uh8/nw7Zt25CWliZODIxWa8PeyjTY2BNKOAf2cSYIwh8SyQQRRboTxO3t7di9ezdGjx7tJ4iB2N3OZ5kuaYaYmXMwY46UlBR4PB6MGTNGjKO904kzX7sCze2tGJs9Eq+e9XRCBDLj1hmL8OPen/FbzXpc9dmt+PrSt6GU09DFA4m6eLDtq8ZPN10HAJhw823InX5MwmJSGww49cPP8PG842HZvQvLr74MZ371PfLyumqjfT4ffvzxR2RkZMDlcmHv3r2i+Ym0m4bJZEJSUlJUYgpHOFutVuzZswfjxo0L2VWDhDNBkEgmiIgJNamOZYjZ69JbnHa7PWb1u4IgwOl0BvUiFgQBer0eRqMReXl5MBqN0GoP2UazTJf01u0NX92FLQ07ka5NxbvnvQC9WheTmLuDlVswlHIl/n3Gk5j58umYkj+esroEFGo1siZMhNtux6Tb/i/o9XiLu+S0dJz6wadYPGcmGjesww/XXom5r7wFmUR0ZmVlwWg0AjhU889qnBsaGuBwOKDRaIJ6OEerxClQODMDFna8sfEssKNGYJkGCWfiSIJEMkGEQeCkulCt19gJhLU6C7y9GS1xJwiCXy9iqTkHE8TZ2dkYMmSI6PDVHYEnvJfWvIkPt34BhUyBN855FvmmnKjE3F+KUwqw4bqlSNOmJjoUIoBEiCZddg5O++hLuKwWKGJ04dlXTCWlOPmtD/DZGfOw57OPkTJkKKbceQ8ABNUJKxQKmM1mmM1m8TmPx+PXw/nAgQNob28XzU+kWedoXGwHjluBz7MxTwrZbRNHGiSSCSKA3gSxNNMSShD39L2R4Ha7g3oRu91u6HQ6GI1GZGRkoLS0FHq9vkdB3Ftc1ZYa3PX94wCAh064HccUTYko3lghFcid3k64vZ3QqbUxXy5vAkDwHbmZdJfVKlpLy+RyJKUEXzQFCtJ4kjv9GBz39PP44dqrsOmF5zD6D1dDm5kV1rGvVCqRmpqK1FTJfv6/PuQs47xv3z50dHRAq9X6ieZQ5ifh0FMXjt7stqXvJ+FMHK6QSCaOaAK7TLBHYHulvgriQML9TGdnZ5BbHTPnMBgMfTbn6EtcReZ8vHj64/hx789YNPmyfn93f2LqSVTsbanGlZ/dgsFpg/Di6U/EMbLE07TDhtULW6DPc2DML2OhUPb9omig4nY48OHx05F3zEzMeORJ0V2PN4ZfdCmczc0omn0itJlZ4vORjBuhzE9cLpconJubm1FZWQmXyyX2cGalGgaDoccxoi8XEySciSMVEsnEEUNfBHG0WyWFEn4ejyeohtjpdCIpKUnMDuXn50fFnKMnpHGdM+pUnDPq1JgtKxo0OJqw/sAWrK3dhDmlM3HOqFNivkxe6qA/uvg3uJt9aGnuwPrX9mLSlWUJjSee62XlHTfDurcCXpcL3k43VOBTJAPA+Otv8vs7mutJo9GEND9hroFS8xM2QZdlnaV3m/qbcQ9XOLPlkHAmBiIkkonDEiaIpcYcTBCz12MliEPBlrt//35RFLe3t0Oj0YgnspycnKjVG4aLTCbDpubtyGvPHzD1vtMKJ+LWYxbhiZXP4+Zv7sHk/HEoNPfNZW2g0rzbIf7fWuNMYCSHiIfI2fPZx9jxzpuATIYTXnoNSeaUbt+byHKLUNSuWonaxx6Ad/HngF4fk2Uw85OsrK7MNZvIyzLOdXV1KC8vh8/nE3s4s3kS0Vxf4QhnqXNgoHCOdccfgugrJJKJAQ+PgtjhcPhliB2OLnHD+hFnZmbCYDBAo9HELI5waGpvxp2/PY77NzyNry95G0MzEpuZBHovtwCA22Zcix/3/oy1tZtw9ee34qtL3k5om7pEcKTUJttr9uOnG68FAEy46S/IO3pGgiMKH4/Tie/+cAnaG+rx292348R//Scuy5XJZNBqtdBqtX7mJ21tbX522+3t7aJroLRUQ9oBJxqxSP9lsbB/mWhm7yHhTPAEiWRiQBEoiAMn1VVWVsLr9WLw4MFxE8ShehErFAoxQ1xcXIykpCSsXbsWY8aMiWhyXSwQBAH3rHoS9k4HStOLMSi1KNEhhY1KocLLZ/wdM14+Hb/sW4t/rHoJf5lxTUyWxcvJ2e12+/3d4eyA1+uNSm06r/i8Xixd9Ae4rBZkjp+IyXfcHdbneNlmyuRknPDSq/j8zFOw6723kTd1OkZeekVCYpHJZNDr9dDr9cjNzUVjYyN27dqFsWPHihMDq6urYbPZoFAoglrRJSUlxU04L1++HMOHD0dqaioJZyKhkEgmuEXauzNQEEttXgMH0VgJB2bOEVhHzE4+RqMRBQUFId20Ojs7xe/ghbc2foQVNb9CLVfhxdOegErBRyutcE98g1KL8ORJ9+JPX9yGR5c/i5OHzMbIrKExji4+eL1eOBwOv5ZgHR0dfu+pr6/H0qVL/SyQzWYzdDrdYSMetvznRdT+vAIqnQ4n/vv1sNq98XSMAUDBsccj9byL0PLB21j+lxuRPmoMssZPTHRYEAQBcrkcBoMBBoMB+fldTpasfzKrca6oqIDD4YBKpQoSztG8EyYdzwVBgEKh8KuflpZpAPATzGS3TcQKEskEF0gFsdScg2WNgUNiWCaTQalUdtu+KBonSUEQ0NHREdSLWGrOkZubG2TOEc738sB+6wH8dcnDAIArhp6P4ZmDExyRP+GupwvGnIGvyr9HY9tBdHg6ev8Ah0idEdnD4XBAqVSKEzizs7NhNBrxC74SP1eQX4iZM4fCYrHAarWitrYW27dvh0wm8xPN0XRyizdqgwH6vHxMuPEvMJcmvhQoEgRBQMppZ0FvacG+777BfxdeiPOWrUZyWnrC4wqFXC4X9x+G1+v1u2Crr69HW1ubaH4iFc/RMD+RlsgBh4SxNObACdcsdhLORDQhkUzEnUBBzDLEbNBjAx8b5LoTxKGIdEBkbZWkGWKPxyP2Is7KysLgwYOh0+kiKpfgaaAWBAG3fHsv7O42jMschXMHxb47RKyQyWT4z5n/QLIqtiIwmhc3bF+TPgRBEMtzCgsLYTQae7+9LQhITk5GcnIycnK6TF9YPTwTzrt374bD4QgypDCZTFHpmBLri77hF12KIede2KfP8HIhKkUml2PWsy/g83nHw7q3AkuvuRKnvP9JwseFcJevUCiQkpKClJRDEyaZ+Qkr1aitrUV7ezuSk5ODhHNf97XuJhNKnyPhTMQDEslETGGiN7CGuDtBzP6NlHAyyW63O6gXMTPnMBgMSE9PR0lJSdR6EbO4AD5O4F/uXILvdi+DSq7CQzNug7yDrxNGX7d/rAVyf2Bt/qSC2OVyiRdfmZmZKCsri+jiS/AFPyeXy8XsszQGJmRY3Snrq8syzYHtwfpCrAVHJI56PIkgdsyrjSbMe+N9LJ5zDFQ6HbwdHVAmJyc0rv6sp1DmJ8z4yGq1wmKxoLq6Gh0dHdDpdH6i2Wg0Rr2Hs/T/0vpmdq6Rvi+wvpmEM9EdJJKJqBI4qU7aK1N6hS8dpKKNVIgycw6pKO7o6EBycjKMRiPMZjMKCwuh1+tj2os4VGyJ4pjiKbh03HnI0WeiNKUYdXV1iQ4piEjWU4vTgtfWvY8rJlyIlGRT7x+IMoHdA1hXE7VaLQrXvLy8iN3RAEAmPySOw+1uoVQqgwwpWF9di8WCuro67Ny5EwBEESMt00iEeDjwy8+w1+xH2ZnncGM73V9kMhnSR43G+ct/Q8qQoQkXZbFoladWq5Geno709EOlJC6XS7xAa25uxt69e+F2u0XzE/YwGAx+Ncj9obeJgewcFUo4B/ZxJo5sSCQTEdOTIAYODcJs4AFim+Hxer1wuVxoa2vDtm3bYLPZRHMOdis7Ly8PBoMhrr2IAb4yW6nJZvzzlIchCAIaGhq4EO7R4IL3r8ZvNeshQMCtxyyK2veG2naCIASVTdjtdgDw62rCyiaiGAyA/x1f/WgBF6qvrsPhEMVM4GQtacY5HsfOr4/cjwOrVsJaWYHJt9/Vp8/ytj8H3v5PHTrM7zWf2w1FAlpBxms9aTQaZGZmIjMzU1xuR0eHeDHZ0NCA3bt3i+YnJpMJXq8XTqfTTzj3l74K554MUIgjBxLJRFhIa4jdbrdfdjhUhpj9HSvY7H9phritrQ0KhQIKhQIZGRnIzs6GwWCIykSS/sJDuYWlwwaTxhDyZMETkcb1hwkX4bea9Xjp9zdx3dQrkKSMnvAQBAEtLS1+ophlw9jEuiFDhsS8s4RMDgj/c/8NVW4R8ffKZEFdDthkLVbfXFNTA6fTKd46Z4I52vt0w7o1OLBqJeQqFUZcfFlE38Hrvi2lw9KKn264BnKlEif+582ExJyoZbJa+kDzE3aR5vP5sHnzZgAI6uEczWOsN+HMznuBnTfkcrk4V4aE8+ENiWQiiMBJdYG9iMvLy6HValFUVCTWlcW6FzG7jc1EcVtbG5RKpZi1y8jIgNFoRGNjI1pbW1FSUhKzePpDokSyT/DhjLcvQ6rWjKdPflB0qON1cI9kPZ018mQ88NPfUWOrw/ubP8Nl48+PaNls8hsTwxaLBZ2dndi5c6dfiY7BYIh7j2KZXJJJjvG+FGqylvTWeWNjIywWC7xeL1avXu2Xbe6PGcX6fz4FABhyzvnQ5+X3+fO8Z5IZlj27sffrLyB4vSiYdTxGXHJ53OPi5fiXmp/k5ORg3759mDZtGmQymbi/7d+/H9u2bYNMJvNrQ2cymYJabvY3Fum/gL9wXrNmDfLz88XJst1lm3lZt0T/IJF8hNObIJYOGEwQKBQKv7+jHU8ocw6W6WK3sQ0GQ8h6yWi1gIs2ic4kv7PpY2yo2wKjRh+UYeVxfUWCSqHCNVMux1+/fwT/XP0KLh13LuSynm/Vslu/rIbYarXC4XCI/WONRiPy8/NRXV2N6dOnx+mXdE+XSO4impnkcAm8dW6z2fD777+jqKhInKhls9mgVCqD2tCFc0fHsrcCe7/8DAAw7rqbIo5zIAiU7ImTMfWu+7H6/ruw4vabkT1pKlKHDY/b8nkSyYGwbK1Op4Ner0deXtdFvfQC1mq1orKyEna7XWyXKBXOGo0mJsKZxSYd09m5U/p+Es6HBySSjyACu0ywR2DbnN5m/EazF7HT6QwSxNJ2WPn5+TAYDGFnpngehBIVm6XDhvt+eBIAcMfMPyNTf2hSDc/rKxIuHXcuHl/xT+xpqcQ35T/glGEn+L3e2dkZ1H7N4/GIZRNsYp10f7PZbKiurk7EzwlCqvkFLx8XNzKZDLm5ucjNzQXQJWSkrcHq6urE1mDSbHOoDgcbn38Ggs+HohNOQtqIkYn4OVGnu0wyAIz/882oWbkM+39civ9ecTHO++HnuHW84PniuDsBL+3eEsr8RNr2UK1WB7Wii4b5SXc9nNlr7F8SzocHJJIPU6IliEMRiUiWTnSS1hF7vV5RoOTk5IgCJdLJGrxmkhmJiO2JFc/hYHsLhqQNwlWTLuYipp7oz0nDoNHjDxMX4B+rXsQzq1/GjJzJfoLY6XSKnU1SU1NRXFwc1VZ/sUaVrEBnW9eJ193mSXA0oZHL5TCbzTCbzeJzbrfbr8NBRUWF30Qts9kMjacTO959EwAw7s+RZ5EHEjK5HCe88ArenzEZLTu2YeVf/4LjnnoufsvnUKD1dFERilDmJ6z1ovRCra2tTewXLs0693Uiak8Z+HCFs1Rok3DmGxLJhwFMEEuNOZggZq9HKohDEY4QdblcQb2ImTmHwWBAZmYmSktLI+7N2p/YEkUiBr7ypj14ac1bAIDH5t4VZD3N62AcyUUYK9OZkzodLyheh86dhLUb1iE9Jc3Pta6vJ0We1pHGoEL7QTcAwGXvTHA04aNWq5GRkYGMjAwA/hO1LBYL9u/fj4M7tkNdUga514O2jGw0NDR0iec+Zv94KyPoTfRpM7Nwwkuv4vOzTsG21/+DgmOPQ9kZZ8clLp7WE6OvIjkUSqUyqJ5eehdJOhFVq9X6iebeWjT2db2FI5ylltuBwjkeE+GJ7iGRPMAIFMRScw72ejQFcSgChSgbfKSi2OVyiYNPvDN2PIvkeMd29w+Pw+Pz4OQhszG7dEbI9/C6vnpCalrA9jmfzwe9Xo9MUzp+vvgz5GXkJqzPb6zQmA4JfJeNz0xyOARO1AIA3+TJcJx9DppqatDudge5BbJSjf70meaVglmzMeHGW1H+4XvQZefEZZm8imRGtGNTqVRB/cLZHQ6bzYbW1lZUVVWJZj+BPZzZuSsa66034cxEM3sPCefEcXiNNIcZ3Qliads1ADEVxIF4PB64XC64XC5s3boVNptNNOcwGAwwm80oKCiAwWBIyImM50wyEF9B2uK0YNfBvVDKlXhozh0h38PjIBu4Db1eb5BrXUdHh3gRlpGREZO7EjyiMRw6pnjIJEdzfxbrTUeMEJ+TugVKRQwr02DiWa/X++03PO3X4cY05a/3Ytz1NyEpJbXH90ULXsfJeG7DwDscAPx6ODc1NWHPnj3ivAWTyQSXywWn0wmfzxf1u6DSfwESzjxAIpkTpD0ZfT4fPB6PKIh9Pp/fASQVxbGEiRNphri9vR0KhUK8Ks/NzU2IOUd38CyS4z14pSab8fuib/Hb/g0oTSvu9n08rS9Wu+5yubBz506x3Z9KpRIn7OTm5oadTdzeuAsb6rZgwdjY376OB34i2ZZ4kQz0f7/2eTzY+MI/MfyiS5Cclu73Wndugax3cyi3QPaeaHY36A/hHl9ypdJPILsdDqj1+liFBYBPQZXoCx1mtBNofsIu1rxeL8rLy7Fjx46gHs7sYi1ahCuc2etSwUx229GBRHICCBTE0pIJn8+H/fv3w+VyYciQIZDJZGLT8lgiba0j7UUsFSdZWVkwGo2oqamBy+VCcXFxTGOKBN5FcrxjUyvUmFE8pdvXEz2AsqyN1LXO5/NBoVBAqVSKrnWRCJ4djbsx7aX5UCtUmFM6E1n6jN4/1A287FNqg6TcgoNMcjSo+PIz/HLPndjy73/hko07Ie+lJCspKQnZ2dnIzs4G4O8WaLFYAAC//vorNBqNX7Y5knr0aBLu/isIAra/+Sp+uf9unPn5f5E+ekxM4uG13CLRIjkQmeyQ+Ul2djbq6uowZswYaDQaUTjX1tZix44dAOB3l6O/PcO7i0f6r3Rs8vl8WLlyJUaPHi1OnCXh3D9IJMeYngSxtGyC7bxKpRJyuVwUCrGAmXNIs8QOhwMKhUJsvTZo0CAYDIaQ4oR3Icoz8Vhvzs4OfLj1C1w05sygiXqJignounUe2H6NudYZDAbRtc5ms6G+vh5lZWX9Wt6wjDJMyjsKa2o34qXf38I9x98cpV+SOKSZ5A7rwBfJgiBg/bP/AAAMW3BprwI5FDLZIbfA3Nxc1NTUYObMmX7Zv/3796Ojo0OsNWX1zdG0Pe6OSI6vqiX/hau1BUuuvhzn/bgKymham0vi4nG85E0kByLt4azT6cTWh+xijZVqVFdXw263i2VE0omBsTA/Yf/3er1+d5oDO1oBJJz7AonkKNPdpLpQgri7koloitBwzDmYe1i4By7vIpnn2OLBv9e8hXt+eAIfb/saX1z8RkJikrokskdbWxs0Go14wuiudt1ut0clBplMhhumX4mLF1+L/6x7BzcdfRUMmtjevo41UpHs8/C5n/eF2p+Xo2njeiiSkjDmj3+K2vcqFAqkpqYiNfVQ+QJzC7RYLGhoaMCuXbvg8/n8BIzZbI6qgJHSlxabxz39POrX/IaWHdvw60P34piHHo96PLwyEERyd+dtdrEWaH7CLtb27t0rmp8E9nBOitKFUKDZSWDGmZVwBv4OJpgD29Ed6ZBI7geBgljaA1F6oEt3vHCIVOixtkqBdcSCIPRoltBXeBeiR3JsNpcdT/3ybwDA+aNPC+sz/Y2J1ewFlk3IZDKxVGfQoEFi2UQ8OXnIbJSllmBPSyXe2rgY10zpu/UvVycKOUexRIENz3ZZUI9YsBDJ6ZGXw4RDoFugIAhoa2sTBUxVVZUoYKSmJ+G6BXZHJBlbbUYmjn/2RXx94VnY+PwzKD7xJOTPPC7iGKIVVzwYqCI5FFLzk4KCAgCH5vqw/a6hoQEOh0MsD5JetEWy33U3obC3+mamZUg4+0MiOUykjcADBTF7XSqIgcgP8nDEFJvgJJ31LzXnYLevBw8eDJ1Od0T1IuY1NiD2pQ3P//oaWp0WDEkbhPNHn97r+yNZX7251rGJdZFeiEVzGyrkClw37Qrc+PXdeHntO1g0+bLDapD3+QTIEyic+yO0rFV7Ub30O0Amw1HX/jlq8QDhjb0ymQx6vd7P9pgJGDYx8MCBA2hvb4dWq/XLNktbgsWKkpNOxsiFf8C2N17B0kV/xAWr1iLJnNL7B8OEd5HMK/1dbwqFIshsh5WisXZ0bL9j7Q+lWefe6ur7El9fhXOorhqHu3AmkRyCwC4T3WWIZTKZOFBGcyeRy+VBAwXrCyvNELvdbuh0uri3wTrShWikxHq9tbS34vlfXwUA/HXWjVDK+394S28XSl3r2OA9EFzrzh11Kv665BHsbanG+rotmJAbm4lQicDZ4oYuPb7Z+Wix+6MPAQAFs46HqaQ0wdF0EUrA9OQWKM0463S6kOeB/oiqox96HDUrl8G6twLLb70Bc//zZoS/LBieRTLPwisW602pVAaVB7FkBNv39u3bJ7a+lIrmwE4//Y2vN+HMxLP0/YElpDxvv75yxIvkwEl1gb2IpTtMLARxKHw+H1wul3j7z2azieYcBoMBqampKCoqiks2IxQ8i2TeY4slT/3yb9jdbRidNRynD58bdkzSAdDpdAaVTSgUiqAOJ/25/Rxv9God5g05HiuqfkWttS4ikczrPuVocA5Ykey226FISsLgs8+L2nfGYjt15xbIss379+/Htm3b/OyRmXjWaDT9ikmt1+OEl17DJ/PnwFRcAsHngyxKSRBe92le42JEuz9yd4QyP3G5XKJwbm5uRmVlJVwul9jD2Wg0BvkoRIPehLPX6w16/+Fit33EiuS3334bSqUS8+bNCypij6cgZh7z0gyx0+mEXC6Hw+GA0WhEfn5+wsw5QsG7ED0SY6uzN+DlNW8DAO457mbIZb0P4ixD5vF4sHHjRthsNtG1ju130Z6JHQ6xWE9PnnQvjEmGqGTXecJR34GskYmOIjKm3/8wJt5yO2QxGNdiub/KZIfcAllnA5/PJ9aZWiwWlJeXo62tDUlJSdDr9RAEAS0tLTCZTH1ObGRPnIxLN+yAPjcvJr+FN9jEM15JZAZeo9EEXbCxCalWqxWNjY0AgJ9//lmcmM8u3KJ9lzkc4SwVz0w4sw5eA4XD64zRB1atWgWFQoGTTjopbi1QvF5vUC/i9vZ2aDQacYfOycmB0+lEQ0MDRo0aFdN4IuVIFaLRIFaxtbudmFo4Ae1uJ04oOzbo9e5c61imKz09HYMGDTpsXetStdGr5eQJR0NHokPoF2qjMdEhRAVpFrmwsBDAodvlDQ0NOHjwIDZt2iS2PJRmm8MxoJAKZG9nJ+QKRb8zyjyXW/AKb5MKZTKZaH6SlZUFr9eL77//HlOnToXT6RQNd8rLy+Hz+YJ6OHdXItSfeKT/AsHCmdeyvO44YkWySqWC2+2OaS9ih8PhlyFua2uDUqmE0WiEwWBAZmam2ItYSmNjI9cDBc9ClJfBKxSxjK00rRifLXgddpcDAMSLMWn7NdZ2iE2uMxgMcDqd2Lx5M/Lz82MWW1+J5XryCT5UNFdhcPogLuLpL47GxIrkiLrw+HywVOxByuAhMYuHh23Gbper1WocOHAAs2bN8uvdLDWgkAoXs9ncbTuw1l3lWHL15Rh63oU4atH1/YqP1zGcV/EO8LV/hYLVCrN+4FLDHdaSU1oixDoQSbtqxNL8RFrLPFA4YkWyWq2Gw+GIynf5fL6QvYiZOYfBYEBxcTEMBgOSkpJ63QF535l4F8lHWmysTo0NgKztH7s70dO+53Q6uVxfsYip2lKDk16/AA53G3bf/CuSlAOzllcKD5nkvp5QD6xehU9POQF5x8zEGV98x63giBbSiWhS5zbgUD9xVt9cUVEBu90utgOTTgxUKpWoWdnVV7plxzYUHn8CUocO61dcPN41IpEcOd3FJ+3kIi0RkrZArK6uhs1mg0KhCGpFF45uCSc2Hs81vXHEimSVSiX6nvcFZs4RWEfMdkLWD7E/tZw8Cz0gdPcNXuB93fU3NlbDzkTx3sYqfFL9X1xYdjqKMgqQlZXVp7Z/vA72saDAlAuZTAaby4Elu5fhtDAnN/KMvS7xIrmv7ProAwCAsaj4iNr/QiGXy8VECuujK20HZrFYxK4Ger0exklTkTF9Bpp+WYml1/wR53y3DPJ+1HTzuP4Hgkjm8eICOJRJDmf9Sfc9didRWltvs9lQUVEBh8MBlUoVJJzj3fM+URyxIlmtVqOzs2dbV2aSENiLmJlzMBtUg8EQ1doe3oUe7/HxGltf94/eXOuMRiN+3PsrPqtdApumHZ/OfC2iuHhbX7E6Qcplcpw98hQ8u/o/WLz1yz6JZN7WEcOyry3RIfQJr9uNPZ9/AgAYcu4FUf9+HjN9fRV9odqBScs08q69Ec0b16Nx/Vp8fttNGHblNWLGuS+JGV7FKK9xAX0ToYmgv/u/tLae4fV6/Xo419fXi+ehQNfAgdT1KFyOWJGsUqmCRDK7bS3NEHs8HrEXcV+zdJHCuwjlOb6BGlskrnV19ga8t+0zAMCN06+KOCYeidU2PHfUqXh29X/w3e6fYO2ww5RkiMly4oWlemCJ5H0/LoWrtQXarGzkHRM8wZQIjXRy1pAhQ5D2t6fxw7VXou7tN5B33AloTUuH3W4XM37S+ubuzCd4FqO8xsXjRZiUWPSYVigUSElJQUrKocnP0rsdrL6+vb0dycnJQcKZl65ckTKwo+8HLpcLlZWVuOOOO7B582acddZZGDRoEHQ6HQwGA9LT01FSUpIQkwS5XE41yRHCc2zAoUG2s7NTvK3F/mUXZCaTCTk5ORg2bFiPkyieXf0fuLxuTC2YgJnFU/sd05HA6KzhGJpeivKDFfiqfAkWjD070SH1C/sBJzwuL5SagTFjfNdH7wMABp91LuQDbJZ7pMRCjA678GJUfPEpqr77BpX/eAznLFkOyOVBwsXpdEKr1frVNhuNRm7LBYCubC3PIhTgVyTHa92FutvBDM9YmVB1dTU6OjrEc5rRaERKSsqAK9M4IkSy1WrFunXrsGbNGqxduxZr1qxBdXU1kpKSkJaWhmnTpmH69OkYMmQIF1c9vAs9nuPjcfBinU7cbjdqampQWVkpWo4ajUaYzWYUFhb2yRymwdGEV9e9BwC4bca1Ef9uHtdXrHvcnjvqNDy07Cks3vplWCKZx3XEEATAsq8d6YMTkxHvyzjgdjhQ+e1XAIAh55wf03h42maxGCtlMhlmPfUc3ps+AXKFois7n5kVlPFjvdAtFguampqwZ88eeDweGI1G0Uq+ra0t6h0N+gtPsUjhcf+SksjJmGq1Gunp6UhPTxefk/Zwbm5uhtvt9nt9IJB4RRgHFi1ahFWrVmHSpEmYOHEirr76aqxfvx5LlizBxx9/nOjwguBZhAJ8x8diS9StxJ5c6wBAr9ejqKio3651z/36Kjo8LkzMG4vjBx3T75h5I5YxnTPqFDy07Cksr1yNBkcTsvQZMVtWf2H7E6sHrDtwIOg9lRtrYCgclLAMTbjHWeW3X8HT3g7ToFJkjpsQ46j4IhZjkT4nF2d9vRQpQ4Z2O3kvlFtge3u72EnDarVi1apVYi2qNOOcqP2J5zIQnmMD+ItPo9EgMzMTmZmZ1N0iXB577DHceeeduOGGG/D0008DAGbNmoXly5f7ve/qq6/Giy++KP69b98+LFq0CD/99BP0ej0WLlyIRx99NKzM7+uvvx4kSCoqKnqduJcoeBahAN/xxXuAYLeYpA+v1yu2X5O61m3YsAEZGRn9vpJudVrFLPJfjrmmX7+ZpwE1XpSkFOLBObdjeuFEZOr4ymqwWj/pRBmPx+NnAgD4t67cvaYazYZqJCcnw2w2iw+DwcDVbfWy086ESquFr7MzZvsdj+NSLGNKG9E3u0WZTAadTgedToempibo9XqUlJTAbreLbejYxCxpfanZbIbRaIxL6SFvQk8Kz7EB/Mc3EImrSF6zZg1eeukljBkzJui1K6+8Eg888ID4t1arFf/v9Xoxf/58ZGdn45dffkFdXR0uvfRSqFQqPPLII70uN1TGLpzuFomC5xZrwMAQybEYLKSOiUzAdHR0QKvVinXsPbnWRWu9eX0eXDjmTGyo24K5g4/r9/fxti3jMcj/edof+/T+WKwjltWT7k8Oh0OcNZ6SkiL2uGb7037dtqDvSVfl4LjZI2CxWGCxWNDY2Ijdu3fD5/OJAoc9ElkPqNBoMGj+aXFZFm9CIdbxeDo68PujD0Jl0GPSrXeG9Rk2RobqaNDZ2SneJm9paUFlZSU6OzuDHNvCcQvsKzwLPZ5jA7pK+3i6MD4ciJtIdjgcWLBgAV5++WU89NBDQa9rtVqxwXogS5Yswfbt27F06VJkZWXhqKOOwoMPPojbb78d9913X0S3rXkWyWQmEjlSkdwfpAKGPRwOh+iYyCzEjUZjt7PHu4utv6Tr0vDkvHvhE/o/SYPXAZ/X/as/SGeEs3+ZVSwzfYnkNndrVRtUKlXQbXVmUmGxWLB79244HA4xO8hEM++TuA4H4iGs9v2wBOuf/TvkSiWK556MjNFjw/pcd3GpVCq/+lLWfYfVN4dyC2SlGt25BYYLz0KUVwMWBs/rbqASN5F87bXXYv78+ZgzZ05IkfzOO+/g7bffRnZ2Nk499VTcfffdYjZ59erVGD16NLKyssT3z507F4sWLcK2bdswbty4PsfDu0jmWSTwHh/Qd5Elda1jD6lrXWFhIYxGY7+dh6K53uQyfgfrgcCmum14Zd17GJ5RhkVTLovqd0trP5kobmtrQ1JSEkwmE1JTU8XuOf096bZWBTuHSh22mFEAyw5aLBYcPHgQFRUV8Hq94uRR9uiLyAl3f/7+T1fAWFiE0X/8E7SZWb1/IEJ4n1gVK0pOPhWDTj0De7/8DEsX/RHn/bgKil6SR30RVN25BTocDnEfZxdiGo3Gr7a5r23AeBZ6PHfeAPiPbyASF5H8/vvvY/369VizZk3I1y+66CIUFRUhNzcXmzdvxu23347y8nJ88klX0/n6+no/gQxA/Lu+vj6imJRKJbcimZ00eR0seBbJ4WSSA13rbDYbXC6X2A87MzMTZWVlUe+H3d/11untxC3f3o+F487FhLzwMkWxjikWxGuf39ZYjjc2fIAhaYPwp8kLu11uOPF0dnb6ZYltNht8Pl+3Pa6jiaUqvF7JobKDoSyRk5KSRMHMRE5Px0Fv68e2rxrlH7wLyGQYufAP4f+ww4R4jOMymQyz/v4sDvzyM5q3bcHaJx/FlL/e22tc/UEul4v7d6BbINunpG6B0mxzTxeHvI1HUng9JzN4z3QPRGIukvfv348bbrgB33//fbcZiquuOmSEMHr0aOTk5GD27NmoqKhAaWlpTOJSq9Vwu90x+e7+Esu62mjAo7BiBK4vn88nZvSkrnVqtVrs3Zifnw+DwRDz9n/93ZYfb/sab2z4AN/sWoptf14OjTJ6govXfS2WnDLsBNz49d3Y1bwXm+u3Y2xOeJOgmLiUlk2wRvpGoxHp6ekoLS2NuekQo73ZDZe9ExpDeGU/jFDZZo/HI2abm5ubUVFRIbYMC8w2h7u/7P5kMQAg7+gZ0Ofl9+3HHQbEa6zUZmRi1pPP4L+XL8DafzyBkpNPReZR43v8TLSP+d7cAuvq6rBz504IghBkesL2KZ6FHu/jJO/xAQPvLk/MRfK6devQ2NiI8eMPHaxerxcrVqzAc889B5fLFTRjdsqUKQCAPXv2oLS0FNnZ2fj999/93tPQ0AAA3dYx94ZarYbH4+Fyp2Lx8FqEz6tIFgQBLpcLALB3717R0lkmk4llE7HM6IUbY6Sfe+aXlwEAiyZfFjWBzNu+z4jH/mXUGHDSkOPx+Y7/YvG2L7sVyZ2dnRAEAXv37hWFMQBxElNZWVm/W/pFgilfC2tNO4CuuuTs0eZ+f6dSqURaWhrS0tIAHCobYbXNlZWVsNvtUKvVopub1+uF1+vttvPBro8+ABC73shSeBzPgfgdZ2VnnI2yLz7Fnk8/wtJFf8T5y1ZD0c1YF691JXULZMuV3sFg+xRzC5TL5ejs7ERnZ2fY8z3iBa/7F4PKLaJPzEXy7NmzsWXLFr/nLr/8cgwbNgy33357yIF148aNAICcnBwAwLRp0/Dwww+jsbERmZmZAIDvv/8eRqMRI0aMiCiugZJJ5hFeRLK0XRZ7sBIaj8eD7OxsDBkyBDqdjouBoz/r7afKVdjetAt6tQ5/mHhRlCPjf/CPFeeOOhWf7/gvPt76FR6YfRsgIChL7HQ6AXRlxGJVihMJqaV6USQ377FHRSQHIm0ZlpeXB8D/lnpjYyNcLheWLl0q2tCybHNycjJadmxH87YtkKtUKD3tzKjHRwRz7N+eRu3PK2Cv2YeDWzcja8KkkO9L1DEf6g6G1+sVj7e6ujq0t7fjhx9+8HML5KGtIe/jJM9Z+IFKzEWywWDAqFGj/J7T6XRIS0vDqFGjUFFRgXfffRcnn3wy0tLSsHnzZtx0002YOXOm2CruxBNPxIgRI3DJJZfgiSeeQH19Pe666y5ce+21EWcEVSoVPB5Pv39fLBgoIjmeAwabJCIVxKFc6/R6PVasWIHS0tJ+z7KONv1ZV8//+hoA4OKjzoY5yRitkLgc8ON5EXZs4TQY1HocsDfg9aXvolTdVVvJBF9mZibUajXWrl0b8QV5rEgfYkDl8kYAwMFd9rgtV3pL3WQyYevWrZg0aZKYba6qqhIzg9aPu2yoc449DiqjqZdvPjyJt7BKTkvHSa+9A0NBIYyFRT3GxQsKhUJ0C1QoFKivr8fYsWPFbHOgW6C0Xj6eboEDQSTzHN9AJOGOe2q1GkuXLsXTTz+NtrY2FBQU4Oyzz8Zdd90lvkehUOCrr77CokWLMG3aNOh0OixcuNCvr3JfUalU3E7cGwgiGYjdARnKtc7hcPhNFMnMzOz2Fjcvme5QRBLXjsbdWFqxAjLI8KfJC2MQFb/7WjSRXmixGsmOjg5MTx+P7w6swC+t63HeyWcE3XlgmWTeSBtyyIq6OY4iWQobA7RaLbRaLXJzcwF0ZQatVis+vf5KAIBszHgsXboUBoPBr7Y5OTk5qmMIiYQu8o6eEdb7eFxXbBuq1WrRrY09z+aXWCwWVFdXw2azQalUBrWhi1XpE+/7F8/lFgP1HJMQkbxs2TLx/wUFBUFue6EoKirCN998E7UYeG8BB4DbXsnRFvGsM4D04fF4xBnReXl5MJlMfTqh8nhARire//X76wC6JpqVpBRGPabDFdbWjwliu93ud6GVnZ3d1Se4JAk7v9qL0fnDodfrEx122KSVHRLJB3fbEhZHqH1IoVBAr1ajZPYJ2PfD9zj55r/AK5eL2ebq6mps2bJFrEOVdtOI9QTaeJNoYbV/2Q+wVFRg9B+u8ns+0XF1R3dxSUt/2MWYz+fzcwtkpRrSfuBsgnY03AJ5nSfEoHKL6HN4jUZ9gHeRzHM2tD8iWepaxx5Op1PsDJCamhrkMhZJfDyuu0hPSGOzR6DQnI/rpl4R5YgOwdP6imT7BfZsZW6IrK1fTk4Ohg0bFvLW7Mziqdh03Y/9agGXCFTJCpgKtLDub8fBXXbuRI9ar8fxz74IweeD7H/HcnJysjjXhNWhMuG8f/9+dHR0BGWb+3I7nbd1ACT22Kpf+zs+P3M+5CoVcqcfg7Thh0qGeFxXQN/i6s0tsLm5GXv37g1yCzSbzRHNVeF1nTF4j28gcsSKZJVKxe3EPYBfoQeEL5LDca1j2bxozmLmed1FEtcfJy7A5eMviIl5yEAdUF0ul58gZlliljXKzc2F0WgMKys5kE1Z0ocYYN3fjg5LJ9qaXNBn8lWHD0AUyIFI61AZHR0dfqJ569atUCqVfplms9k84LLNiTrOsiZMQvHck1H13Tf48c9/wtn//Qny/2VUeR4j+7O+QvUDdzqd4nhRW1uL7du3+wls9uhtHgvvIpT3TDdLAA4kBtZIE0XUajUEQYDX6+VywOVZ6HUnkt1ut18/Yrvd7me7Gy3XunDj443+bFOFvP+3CnuCp30tVK9ru93u13HC5XJBr9f7CeL+TuBxeVxYU7sRxxRN6e9PiBvpQwyo+KGrHWbTThs3Itl5sAmOA7VIHz22T9skKSkJ2dnZfq5uobLNer3eL9vMSwebUCTy2JLJZJj1j3/i3ak/o2Ht79j80vM46po/i3Hxus6iGZe0Zp7dxWB3nliZBnMLZI6Y0jINqT7geZ0B/Mc3EOFPHcYJVtjvcrm4FMlyuZwr4SKFHYQWiwUdHR1+wkWn08FgMCS0VRavFxh9Hby+3fUDbB0OnDlyHtSK2ExE4W1AFQQBbrcbHo8Hu3fvFmuJ2d0Hk8nUpyxxuLi9bgx56mhYOqxYf833KE0rDhkbb+srY/ih28xNO20omZkZ1+V3d5zt/vRjrLjtRgyafxpOfvvDiL9fLpeLQpjBss2BWUE2EVAQBO567CZyv9Hn5uHoBx/FTzdei18fuhcl8+bDVFKa8Li6Ix7HmXRuAoMZ6bCJgVVVVeLFOBPNrA8/r/A4Rg10+FOHcYKJZJ7rknmZuMeav0vLJgCgvLw8otvbsYZnkRxuXIIg4P4f/44dTbth6bDi6smXxjS2RK0vr9crWoSzE5Tb7Rb3/0gmbUaCWqHGmOwRWFG1Gt9XLPcTyTyfdDKHHzrJN263JiSGUOuneul3AICsiZOjvrxQ2WY2eaupqQk+nw8//PCDnxWy2WyGXq9PyLbkQbiMuPQK7Pr4Q9SuXI4fb7gGZ3z+Xy7iCkWi4go00gEOuQVaLBbU1dXBYrHA5/Pht99+88s4x/ruaLjw3N1ioJJ4RZMgWJaBZ5GcCOHCXOukgthu72ovxcomiouLsXXrVkyYMAFarTbuMYYDjyIZCD+uH/f+jB1Nu6FX63DBmNiZMMRzQBUEQTzpMFHMatSlFuEAsG3bNgwdOjRusQHACWUzsaJqNZbsWR6zVnvRJnOEJJO8I3EdLqR4OjpQu3IZAKBoztyYL09aW5qamgqLxYIZM2aIJRoHDhzAzp07IZPJgjppxNslMVHIZDIc/8y/8N7RE1G7cjn2LV0CQZuYi4be4Em8B7oFVldXo76+Hnl5ebBaraioqIDD4YBarQ6qb07EnQzeu1vwsl37whErkpkJyZEukkO51rndbrHeszvXOt4PRB5Fcl8GiOd/6zIPueSoc2BKMvTy7v4Ti/XFuhcwQcwcEVmGr6CgIGQWxmazJWT7nVB6LO5e+jh+rvoN7Z1OaFXJcY+hr2jTNNBlatDW6ELjjsRkkgOpXbUSHqcTutw8pI0c1fsHoggTWBqNBllZWaK4kdagsqxge3s7dDqdn3A2GAxRP5HzIvpMJaWY8djfoTGaUDjnRNT88kuiQwoJL+urO1QqFfLz84PcAlkJUE1NDZxOp9++ZTKZ4uIWyPu6G4gcsSKZ9UzktcNFLGqSfT6fWDbBaj3b2tqg0WjEg7mwsBAGg6HXnpK8ClGA39jCjWtH4278ULEScpk85mUW0RpQpQYwTBA7HA6xD67JZAp730oUwzLKkG/MQY2tDj9X/YYTB8/ye53XE1DmcBMqGxvR1uhC20EXdOmRuZBGi33/K7Uomn0CN+tLWoNaWNjVa9ztdouiub6+HuXl5QDgJ5rNZnO/s808jUUjLz3URpLX/ZnXuIDQsYXq0iLtvtPQ0IBdu3bB5/OJ8yrYPhbtMjIqt4g+R6xIZo4+PFtT96cmmd3aDiybkMvlYtlERkYGjEZjRNbevApRgO/YwolLNA8ZGn3zkO7o6/ryeDxBHSc8Hk9UOpkkapCXyWSYUzYTr6//AN9XrAgSybySOcIo2lM3brfGffJeIKweuTAOpRaB9GU/DuXo5nA40NraCqvVivLycrS1tUGr1fqJZr1e3+eMII/CpdNqwcF1a5Bx0smJDsWPgSaSQ6HRaEK6BbJsMzPTYaVmUpvt/lyU8V5uMRA5YkUywHev5L4KvZ5c66LZJivS+OIJr7GFE9fBtmZ8sPkzAIipeYg0pt6Q9hmV1hJrNBoYjUaYzWYUFRVBr9dHLUucqO13QumxXSJ5T+8uoLyQyA4XgdvJWrUXlj27IVcqUXDs8XGLQ0qk45tMJoPBYIDBcKi8ibW1tFgsYkZQEARxv2ePnhINPI5Fzdu3Yec1f8BuhRxFv22CNiOxF1ZSDgeRHIjULTAvLw/AofaGbP86cOAA2tvbodVq/bLNfbn7xrtI5nW79kSfRDLPO29fkclkUKlUA7Immc3m7s21LpqipS/xJRpe99Fw1llzeysmF4xHu7sdk/PHxSky/xM5q1OXimJpv+vi4mIxS3y4cWzJNNx3/K04sWzWgBnv/DpcbIt/XbJ0Helz83HGF/9Fa3k5NBIXtIGKWq1GRkYGMjIyABzKNrMyDdZfNzk52U80B9af8rYfmQcPgSo1DR1Ve7Hy9lsw99W3Eh2SCK/nFSC6Gkja3rCoqAjAoYsy5hZYUVEh3qGTZpu76wvu8/m4an14OCCK5H//+9848cQTUVxcHPKNLpcLL730Ev785z/HK7aYMxAyydIsHru9HQ/XunDj4xGeY+strqEZZfjqkrfQ5m6Py4mVxdPY2CjuZ21tbUhKSoqaTXhfSaSgMGj0uOnoq/2e403gBJI1yiz+v36zJWFxAIBCrUb+jFnInzErYTHE2qiIZZsLCgoAHLJBZi3odu/eDZ/PJwoaj8fDTTtPhkKlQv51N6Pi9huw+9PFGHzOeRh08qmJDgtA15jE67yFWF84h7ooY+MyM9PZtm2bX0cXJp41Gs2AubAfSIgi+ZprroHZbMa7776L2bNnB+2k7e3tuPHGG/GnP/3psGmbw2Mm2e12w2azweVyoaqqCuXl5fD5fGLZREFBAYxGY8z7xvYGz0KU19j6EpdOHZvWetKyHJYpBrpEckpKCkpKSsQBN5HwuP14JTlFDVOBFtb97ajfYoHPJ0AuPzJPlInYb0LZILe1tYnZ5qamJrhcLixbtswv22w0GhN6azyptAzD/7gI2196DstvvQF5R8/kIvvP87EfbxHanVsgS5hZrVbs2rVLdAsEAL1ej5aWFm58CwY64hrUaDQ4/vjjceaZZ+Kuu+7Cdddd51ebpVKpRFFJIjk6SI0U2KOjowNarRaCIECv12P48OERTRSJNbwKUQaPsfU2uL636VPMKZuJDF1aj+8LF6kJDBPELEtsMpmQnp6OQYMGYd26dRg5ciS3Pa/jjdfnxUdbv8KPe3/G0/MfhAJ8HXuhyBlrhnV/O9wODyyVbUgt1cc9hrpff8Huzz5G6amnI+/omXFfPi/IZDLo9Xro9Xrk5+ejuroaTU1NKCkpgcViEW+je73eoNrmeJYwCYKA0TfcjNql/4W1Yg9WP3A3Zv392bgtv6e4eM2G+ny+hJ+LpVlkBkt+7NixAx0dHdi0aZPYylWabU6Uoc5ARsl2yM7OTvztb3/DBRdcgCuuuAJr167F008/Ld5Sksvl8Hq93GVeI4V1t4jX7wnlWtfW1gaVSiWWTUhd6zZu3ChmG3iEZ5HMc2zdxbWzaTf+9MVtSFYmYedNq2BO6vt2ZwMlyzCwfsOs7dCgQYNCzp7mbX0lehCXy+R44Ke/o8ZWh3NGnYJjC6cB4PPCi5E12oydXx0AANRtbk2ISN7zxafY/NLz8LS3JUwk8yiw2GQqqZubtNuBxWJBRUUF7HY7NBpNULY5lqUHqmQtjnvqOXx22knY+uq/MfS8C5EzZVrMlhcOPG5DBq+xqVQqpKWlQafTISUlBUVFRXC5XH727Tt27AAA8cKMiWeNRhPX0r6BhphJViqVaG1txVlnnYXRo0fjnHPOwZw5c/DKK6/gmGOOgUajgVwu57aGNxJiWZPMXOuYWLHb7aJgkU5+6m4HjUWf5GjCm7CSwmtsPcX1n7XvAgBml84ISyCzCUTSfay9vR3JyckwmUzIyMhAWVkZdDpdr5kPHgf9RG4/v1Zwe5aLIplncsYe6tFav9mCkWcWxGW5UtGQyNZvvBN4jIXqduDxeMTa05aWFuzduxcejydktjkaxyzbdvkzZmHEJZdBJlcgddjwfn9vtOLiEZ5jAw7FJ5PJguzb2TmD7WPSC7PA+uZYlWnwvO66Q8wks0wxAAwePBhr167FwoULMX/+fPztb3/DhRdeCIVCcdhkkoEukRyNPsmsZ6w0S+xyuaDT6WA0GpGVlYUhQ4ZAq9WGfauGV6HH4Dk+XmPrboCwuex4b/OnAICrJl0S8j2sVp0JYlZLzC66ysrKYDQaIy6F4nF9JRKxFVzFCjx0/B2JDqdXskebxf83bLHEffm26kpYdu9KaOs3Xgn32FIqlUHZZqfTKWabKysrYbfboVar/ay1TSZTRNlmqeA77ul/QcZJSR/PQpT3Fms9mYlIJ50yt0BpJyOr1Yr9+/ejo6MDOp3Ob/+K58Rt3vDLJEuzqkqlEu+++y6eeOIJ3HTTTdi6dStcLhe35huREEkmWepaJy2bYD1jjUYj8vPzYTAY+nU11l8zkVjDqxAF+L5aDbXO3t/8GRzuNgxNL8XM4qniPiZtweZ0OqHVamE0GpGZmYnBgwd32waor/C2vniI59iSaVDJVdjbUo1Ky75Eh9Mr5hIdNAYlXHYP6jZZ4r786u+XAACyJ09N6OQvXgVWpL112aSt3NxcAF3zWFgmsLW1FZWVlejs7BRbhLFHXyd2SwWyIAhw22wJ2468bkOA79iAvot4pVKJ1NRUpKamis8xt0Bpb3CpWyATz4luHhAvRBUXWEohk8ng9Xpx2223Ydy4cbj++usTEmAs6a0muTvXOplMJgriQYMGRexa1xM8i1CA7/h4jS1UXIIg4KXfu3qUnlE0Fxs2bIDNZhP3MZPJhKysrJi3+ONtfSU6HoNGj6mFE7Cy6lf8ULESw1CU0Hh6Qy6XIWuUGftWH4R1fzucrW4kp8RvgnXV9/8FABRRqUUQ0dyXFQqFn6iRZpulTm4qlSoo2xyYtAkl+Oz79+HHG6+Bp70dZ329NGHZZV7FF+8iORq21KHcAlnSxmq1inc0lEql3/7VX7dAXhGPmhEjRgT9QIVCAa/XixNOOAHff/89nnrqqcPKQCAwkxxv17qe4FXoMXjOdPO67lhc0rKJZZW/YE9LJbSKJJyYPxPZ6dkYMmRI1LLE4cZFBHNC6cwukbx3JYblJFYki51wrIfMQhobG5Fh14oz1rPHdolkoKsuueTY+Lio+dxu1K5cBiDxIpnH4x6I3THWXbbZZrOJZRrV1dVwu90wGAxiJtBsNncrqOp/W43OtjZse+MVjLr8ypjE3RM8C9FoiNBYEotyEGm3FlY/z8YjdnHWnVugtM0hq5UeaCjZD/j5559DvkGhUEAQBBQUFOAf//hHPGOLKW63G+3t7fj666/xzTffoLy8HE888YQoiOPhWtcTvAo9Bs/x8RQbu3Vls9nQ2NiIjo4OWCwWMUvs1nuhUaixYNw5mDhmQsLi5GV9AfyI9hPKjsU9PzwBu7tNNPaJF263WzwBMSMhpVIJl8srvqelpQW//loPmUwGs9kMRfahUrj6LfERyYIgwFVfh6TUNAg+H9JGjY75MnuDl/2HEW/Rp1AokJKSgpSUFHH5bNyxWCzYt28ftm7dCkEQsG3bNqSnp4sZQUNBIabedT9W3nkrfrn3/1B80nzoc3LjFjuLl7dtyOC9Jjle606hUIgXW4zu3ALZuc5kMqGwsDDmsUWbsIpm2UrnoUdgJAiCgD179uD333/Hb7/9ht9//x0bNmyAIAjIzc3F3LlzcfbZZ+Poo4+GTqdLdLgAuspfeM3UAnwJ0VAkIjapXTgbLNgETjZIJCUlYdy4ceIxdVPJn7BwygXweBNX68/rCSnRDM8YjF03/YJUjRkrV66M2XICb2daLBZx8ozJZEJeXp5YA/jTj9uxG60AgGHDhqF4ZgbsdjtaW1thK6wTv3Pz9+UwHe9BSkqKWKMaK7RFxVi4ZTfaGxtoX+IQmUyG5ORkJCcn+xlSLFmyBCkpKbDb7eKELYPBAOO0GUgZPRatWzZhxW034eS3PohrvLyLZF5jAxIbX3dugexi/+DBg4evSGYMRIHMOPHEE5GVlYUpU6bg+uuvx5QpU3DLLbdg8uTJXFpt8y5CeY4vXrGxenUmbhwOh9joPbDvNQDU1tbi4MGDQYNYarI55rH2Bm/bkod4ZDIZsvQZUe/oEzijPLCf9dChQ8OuQZcaC+Rl5WP5H/dD8Alw1XSN1ZWVlbDZbEhKSoLZbBZFc7Rnq8tkMuiysqP2fZHCw34TCI/CSi6Xd7V/y88XTYSk2eacRX9G6/VXYe9Xn2PJM//AoPmnidnmWM6NAPhcXwyeYwP4SmQGlgKx7mkDjYR4Fj722GO48847ccMNN+Dpp58G0HWA3nLLLXj//ffhcrkwd+5c/Otf/0JWVpb4uX379mHRokX46aefoNfrsXDhQjz66KO9dpGQyWSoqKgI2nniaSbSV3gWoQDf8cViEPN6vWKPSSZsXC6X6Ggkzfb1tHy2zrw+L3Y27cHIrKFRj7Wv8Dzo84BMJkOH1xXx5zs6OsT9hl1MqdVqmEwmpKWlYdCgQVFx1VQlK5E+xICmnTa07m7H0MHDoFDJxf67ra2taGpqwu7duyEIAkwmkyiazWZzROLH6+qAwNnJj7f9mddxMlDwSfvqDhs2DEm7dmD900+i+vmnkTZpCmpra+F0OqHX6/06aUR7/gTPQpTn2AD+4xuIdKsuXS4XVCpV1K9K1qxZg5deegljxozxe/6mm27C119/jcWLF8NkMuG6667DWWedhVWrVgHoEinz589HdnY2fvnlF9TV1eHSSy+FSqXCI4880utyQ/2ORNtS94RcLue63R7vIrk/pSrSriZSMxilUilmiSNp8yddZ0v2LMMFH/wJ8wYfj/cveCniWKMFT9uSDfI8DPg+wYcLPrwaP+39BavHfoUhmaU9v/9/7fuk9cRSe9jCwkKx7CYWZI82o2mnDV63DwfLbcgaZQ7Zf9fhcKC1tRUWiwUHDhwQxQ8TzSkpKWG1eKr6eDE2P/UEVH++CZP+8teY/KbDgUTvx4Gw472nuCbf9n+o+OJTyORylKSlIXXoMNHFzWKxoLa2Ftu3bxfvZkiFc3+yzTwc993Bc2wA//ENRLo9wz/55JM4+eSTMW7cuKiteIfDgQULFuDll1/GQw89JD5vtVrxyiuv4N1338Xxx3c1on/ttdcwfPhw/Prrr5g6dSqWLFmC7du3Y+nSpcjKysJRRx2FBx98ELfffjvuu+++iFqPqNVqbh0Eee4eAfAvkvsCm6kr7Uvc2dkpTuLMz8+H0Wjsd19I6WdfW/8+AKAsvSTi74sWNKh2j1wmh7OzAx7Bg6V7VwaJZJalld5hACCWQASW3MSa7LFmbFnc1de5bpMFWaPMQe+RmgqwGsFQE7ukphUpKSl+M9UZ9SuXweuwQ6ZIyE3JIHgUCTyOk+HEpExOxqkffg5DfgEU/2txqtFokJWVJd7hZfMw2L5TV1eH9vZ20YyCPVgHlnBj420bMniODeCr3OJwoduR7f3330dJSUlURfK1116L+fPnY86cOX4ied26dejs7MScOXPE54YNG4bCwkKsXr0aU6dOxerVqzF69Gi/8ou5c+di0aJF2LZtG8aNG9fneHjOJPMsQgG+4+spNpYllgpih8MBlUol1oQyURyLriaCIGCfpRZLdi8HAFw+7oKoLyMSeNqWvJ2EZpfOwM/7fsfSihW4fOz5flnitrY2sd432iYvkZA9xiz+v74PznuBFrZS0wpmkez1esWMYUpKCvRJSWj87RcAQNEJ1B+5J3jbpxm9xWUuLevxdWlNfFFRV5tEqRlFXV0ddu7c2fVdkr7NZrO528QWz0KU59gAvuMbsC3guntBrVajo6Mjagt6//33sX79eqxZsybotfr6ejFrISUrKwv19fXie6QCmb3OXosEEsmRw3t8Yu3v/3qGSkUx631tMplQUFAg3v6OV+/rNzZ8AAECZpVMR2lacUyXGW5cPJLoAZ9lyUbruurGV1b9iuWrViDdnAaTyYSSkhKYTKaoGwn1B6lIrtvYGvH3hDKtYGUkra2tKC8vR9PqVfA6nVCmpKLDnAqHw5HQCwRe4XGcDKfcQoq3sxObXnwOap0eo67ouXdyoBmFz+eDw+EIyjZrtdqgbLNcLk/4cd8TvGdqee/jPBDpViTn5uZGbfDfv38/brjhBnz//fdcmZGo1Wq0t7cnOoyQsMGCV3gUyazljNPphN1ux8GDB9HW1gaVSiVmLwoLC2EwGBLW+9rj8+CtjR8BAC4fz0cWGeDzRB5v3G63aMLAehMrFAqk681IU5vR7LZAVqjBxCETEx1qtxiyk2HISYK9rgN1G1qjJjikhgL5+fkAgOVff4YDAPTjJ+LAgQPYsWOH2D+V1TabTKa4Hmu8CizeYurr8V7xxaf45Z47odLrUXTiSTDkF4T9WblcLjrUsvIeaR/whoYGlJeXA+gqU3I6nbBarUhJSeHqAhTgd/9i8N7HeSDSrUhevHixWHzf35W+bt06NDY2Yvz48eJzXq8XK1aswHPPPYfvvvtOPGik2eSGhgbx9l92djZ+//13v+9taGgQX4sEyiRHDg/xsVZa0kyxx+OBUqlEUlKSOElKo9FwMbDJZDKsaliLBkcTsvQZmD90Tu8figM8rBsp8YhHEAS0t7f71RNLHaNycnIwbNgwaLVa+Hw+jFszCksbfsaPlSsxd8ismMfXH3LHp6L86wPosHaiZa8DaaWGmCyn5qelAIDUKdMxZcoU+Hw+2Gw2cUJgVVUVOjs7YTQa/SYE8iZ8Yk2ix8meCPdYG3zmOdj873+h/vdfsfKOW3Dy2x/2a7lqtTrI+phlm8vLy1FXV4fKykokJyf7ZZuj3bqwrwwEkcxjfPE2Y4om3YrkaGZ8Z8+ejS1btvg9d/nll2PYsGG4/fbbUVBQAJVKhR9++AFnn302AKC8vBz79u3DtGnTAADTpk3Dww8/jMbGRvHA+v7772E0GjFixIiI4uJdJPM8cS/emW4maqSC2OFwQKPRiK2siouLYTAYsGfPnq4etwHlOTzwU91qAMAlR50DlSK2/Ub7Ao8DWDRjkpbdsIfP54PBYIDZbEZZWRmMRmO3dZLjzSOxtOFnLNv7S9RiihVMJAPAgfWtMRHJjgO1aN1VDsjlMI7rcoqUy+V+Llzszg4TzXv27IHD4UBycrKfaO7LpK5w4FEk8BZTX8stZHI5Zv3jOXw4ayr2fv0FKr/5CiUnnxK1eKSTSaurqzFkyBCkpKSIJRqNjY3YvXs3fD5fUCeNeF508SpCGVRuEX3iMiXZYDBg1KhRfs/pdDqkpaWJz//hD3/AzTffjNTUVBiNRlx//fWYNm0apk6dCqDLDGTEiBG45JJL8MQTT6C+vh533XUXrr322ogPEo1Gw3V3Cx6FCyPW8UkNF9i/TNQYjUYUFxd3Ww/K6yAhk8lw55hr8YejF2Bi3lGJDkeE1/XVH9jkIamtMyu7kV5QhZuVGmkagrllx2FmyVTuT5R5E1LE/x9Y34LR50bf5Uoml2PiLbfjYFUVlPrQIlxqJpCXlwcA6OzsFIVPfX09ysvLRVttJppNJlPE3UB4HDN5jqkv+3H6yFE46tobsf6ZJ7H8thuRN3MW1Hp9TGKTyWRQqVRBDm6sLt5isWD37t3iRZdUOIfqwhLt2HiFyi2iDx99ewA89dRTkMvlOPvss/3MRBgKhQJfffUVFi1ahGnTpkGn02HhwoV44IEHIl6mUqnkthfxkSSSA29922w2sWuAyWRCamoqSkpKwjZc4DULL5PJoJQpcMaIeYkOJQie9rW+noSkts6szpHZOpvNZuTn5/d7cqZRpcfbZz8XUavJeJM7LlX8f+26yCfv9YQuOwdT77ofBw4cwP79+8P+XKDwkbYQa21tRU1NDTo6OmA0Gv1qm2Npqx0PeBNWkYhkAJh021+x+9PFsO+rxu+PPYhjHno8JrGFiitUXXxnZ6d43B88eBAVFRXwer3i/sMe0bozzrNIjnSbEj0jimRWMxKvq5Bly5b5/Z2UlITnn38ezz//fLefKSoqwjfffBO1GMhxL3L6I0Q7Ozv9ssQ2mw0+n0+c3DFo0CAYjcaI7xDwuO68Pi98go+7uAB+B9Xu1lWgrbPVagUAsYVfdnZ2v7KRAx19VhKMecmw1TpRt6EFPp8AuZzPbRyqhZjT6RRFc2VlJex2OzQajV+2ubu7ADweXzxm9yJdTyqtFrOefBZfnnc6tr76b4y/4RZoMzKjHlu4Y5JKpUJ6ejrS09PFz0rNfCoqKmC328U2jWwyqclkimibkEiOnAHbAo5t9E8++QQbNmzA1VdfjfT09AF/5R4OPItkuVzOZTaUEa4QlWb5mLBpb29HcnIyjEYj0tPTUVpaCp1OF9UTCW8ny+92L8Ot396H0/NOxJQpUxIdThC8rS8pzOiCdZ6Q1qLHav8JhSAIqLbUYEfjLpw05PiYLqu/5E1Iha22Fi67By0VDqQPjl5dsstqxYHVq5AzdVrUvlNKcnIykpOTkZOTA+CQYQvLFu7Zs6dHW+2BeCJOFJGsq6IT5mLK/92L0lPOiLpABvonRENlm6X7T3NzMyoqKuDxeEJmm3tbLs8imekF3i7IBjpiqsXlcuHvf/87nn/+eRx33HFYsGABJk6ciPT0dOh0ukTGGDN4n7jHs3DpLj52+0uaKQa66tJNJlOvE6RiGVsieXPDh6i116PJeTDRoQTB06DPeqoCwI4dO2Cz2fxsnYuKimJq69wTdfYGjH1hNhQyBfbdtg56Nb/jYu74VOz4ohYAcGBdS1RF8oFVK/H1gnOQMnQYjvskenf2uqM3W23Wd1ev14vzTNiFOA/7No/Cqr9Zx0m33hnNcIKI5voKtf+0t7eL2WZ2t0LqMMlqmwPbF/LcJ5n3TPJARclW6EUXXYSLLroIP//8M/7617/i3HPPxfDhwzFnzhyceOKJGD58OPLy8g6r9j0qlYom7kUIK7ew2+1+t76dTie0Wi2MRiMyMzNRVlYWlyxfYGw8rbsDtnp8t2cZAODE3GMTG0w3JGp9SUtvWLaYjUlarRb5+fkwGAwJLZ1g8eQas1FoysM+ay1+r9mA4wcdk7CYeiN3/KHJe7XrWzDmgqKoffeB1asAADlTp0ftO/tCKFttl8uF1tZW1NbWwu12Y+XKlVCpVH6Z5khvsfcXnsYiRjSFe9PmjdDl5EYtqxzriwqZTAadTgedTidOKGUlXNIyH9a+UDopkOfuEZRJjg1BZ55jjjkGI0eORFZWFv7+97/jtttuww033IAhQ4bgxBNPFLtMHA6o1WpuJ+7xaCbidrvF7HBDQwNcLheamprEgSQzMxMmk0m87ZkoeBPJ72z6BD7Bh8m5RyFfG1lP71gSr0GftQST1hK3tbWJs9OzsrIwZMgQaDQarFy5EoWFhQnflwKZXjgJ+7bU4pfqNXyL5HGSDhdRnrx3YPXPAIC8acdwc5xpNBpkZ2dDEAR0dnZi0qRJYs/m1tbWkLbaPVkjRxtehVV/2fTic/j5/27D0PMvwpx//Scq35mIzLtSqQxymGS18aznt91uhyAIKC8vR0ZGRkLMcnqCMsmxodv0jM/nQ2FhId5//30IgoAXXngB119/Pc4880x89NFHXN92CBe1Wk2Z5G5gt72lWeKOjg7RbMFgMECr1WLs2LHcHZSJXndSfIIPb21cDAC4YMQZAB9hBRGL9cXuNEhFcWdnp1h6M2jQIJhMpiCh4vV6ox5LNBAEAdMKJ+L9LZ9h9f61iQ6nR3QZSTAXamHZ1466Ta3weX2QK/o/XrsdDjRt2gAAyJl2NOzg86SsUCiQkpKClJSui4XA9mHl5eVoa2uDVqv169kcC1ttXsYiKdESolkTJ0MQBOx8720MX7AQeUfP4Ca2/iBtX5ibmwuga1z68ccfYTQaYbVaUV1dDbfbLfZaZ49ElfmQSI4NIUWyVquF0+kEAKxevRq//PILVq5ciSlTpuDMM88EcHhsCJVKxW0mOd5tzFwul58gttvtfnai2dnZMBqNYmZv3759sFqtXO4HPMW0oupXVFtqYNIYMH/wHFSU70l0SEFE66KC3WmQ7kMKhUKcTV5QUNAnS3AexcXRhZMAAGtqNsLlcUGj5Lf8LHdCKiz72uF2eNC824GMYcZ+f2fD2t/g83hgyC+AsbAI9traKEQaPfrSPoy5vFosliBbbWnP5mhkCnkak4DoCdHsiZMxcuEfsO31/2D5rTfg/BW/QdHPuz88iORQKBQKyGQysQRMEARxUrHFYkF1dTW2bNki9mOXlvnEo1yM51KQgUzQlvN6vZDJZNi4cSNuvPFGfPjhhygrK8P111+Pc889FwDfxet94UitSWZZYmlfYtZX1mg0+lnydnfQ8ZStDYSn2N5Y32Xfeu7o05CsSuImrv4i7W3NaokDbZ2HDx/OzeSpaFGWVoIMXRqa2pqxoW4rphZMSHRI3ZI7PhXbP60BANSua4mKSBbrkacd3e/vSjSB1sjMVpvVpe7btw9utzuoZ3NfJ43yKPqiOQ5Nu+cBVHz5GVp2bsemF5/D+Otv6tf38bi+GNLYZDJZUCcW5uzJhPP+/fvR0dERlG3u6dzan9gOB13GG6JI7uzsxK+//or33nsPS5YsgUajgUKhwKpVq1BSUiJ+4HARyMCRU5MsdR+z2WxilthkMsFoNCI3NxdGo7FPV7s8CdFAeIrtmikLoVUnY+G487gd+MNZX93ZOrN69LKysqjVo/O6noCu2KYVTMQXO7/DL/vW8i2SpXXJ61tw1ILifn8nE8m50/mtx44Uqa12cXGxX11qa2ur2HM3OTnZTzQbDAau99nuiFbMSSmpOPqBR/DDtVdhzeMPYfCZ58CQXxDx9/EsknvTP4FlPgD8ss379+/Htm3b/O5YsKxzf7PNPK83Bu/xhULsk7x06VLMnz8fxx9/PB5//HGcffbZ4pu8Xi/kcjlkMtlhI5CBQzXJPO5ckQo9aR0oEzUulwt6vd5PEPf3SpYnIRoKXmKblD8Ok/LHAYA48WMg0Jutc18cECOFl3UVeJxcPfkSnD1yPo4pmpygiMJD2uHiwProTN6b9Y/ncOCXlSg8bg4AfrYRI5pjeai6VNbisrW1FQ0NDaKtdmDPZqng4fH8Eu2Yhl1wMba/9Trqfv0FP//fbZj3xnvcxBZNIoktKSkJ2dnZyM7umrQtvWMhzTbr9Xq/bHNf6+Op3CI2iC3gJk6ciHXr1mHcuHFBb+Jl9ma04dlMJJyaZEEQRDHDBLHdbodSqRQzfJFkicONj7cTJIPn2HiNy+l0oqamxm+SJutNHA1b58OJY4r4M4MJhTZVg5QSHVor21C3qRVejw8KZf8ualLKBiOlbLDfc0fSPhHo8MZK11jPZmarbTAYRNHs8Xi4O+6jLURlcjmOffJZfHb6ScifMatf38/bumJEa2Kc9I4Fo6OjQyxdq62txfbt2/3ex7LNPd2po3KL2CAqJ4Ohq9n82rVr0dnZKT7cbjc6Ozvhcrng8Xhgt9uRk5ODU089NWFBR4uBZibi9XqD+hJ3dnZCp9PBZDIhLy8PJpMpLnWgPAtRHmLb3rgLr6x7FwvGno3xuaPFuHhAauvMshk2m02cYJdoW2de1tPhQN6EVLRWtqGz3YuDO23IGmVOdEgxJd5ZSOnkZmar3dHRIYrmqqoqsRWd3W7v1VY7XsRiPaWPHIXLtuyGsh9uvWzc5lHsxbJ7RFJSEpKSkpCVlQXg0B1hNj7X1tbC6XSKiQsmnvV6vRgPzxn4gYx4Fty4cSOmT5+OpKQkeDweyOVyyOVyKBQKKBQKyOVyaDQaOBwOzJkzh0RyHPD5fKivrxcFjcPhgFKpFGuJ8/PzQ7oCxQMehGh38BDbO5s+xn/WvoMGRxPePvd58fl4x8VmYEtLJxwOB5KSkmAymZCRkQGv14ucnByxsT4vJHobBiKNZ0v9Dny76weMzBqG+UPnJDCqnskdn4qtH+0HANSubemXSF739JNQaXUoO+MsaDOzohTh4UdSUhJycnLEyVzr16+HRqNBUlJSkK22tLY5nj3BY3VsSQWy4PNB1kexy9sxLyWeLdbYnCHmMgp0lcBJu7Hs3LlTLPUxm81iSSyP8Lxde0MUyePHj8fOnTuh0WigVCr9BLJSqYRSqRSvVBLpfhVNeCq3YBOjpFliANi/f7/YPounW948CNHuSPT66fR24oMtnwMAFow9S3w+HusssHOJ1WoNsnU2m81+zpnNzc0xjWmgE2p/WrJnOR5e/gxOH34S1yI5b2Kq+P+atS0Yf9mgiL7H5/Vi3VN/g9tmRfbkKSSS+wBzeCsuLgZwyFabTQjcsWOHaKstFc2x6IAQGFesqPruW6y6907Mf/djmAeVhv05nnv9Jjo2jUaDrKwsv2wz248sFguam5vhcrmwcuVKv2zzQJ1Yygui2lWr1RgyZEjINzU1NWHdunU4/vjj4xZYPEiUSGazppkgttlscDgc4sQo1kJry5YtmDBhApe3nngXyYmMbWnFCjS1NSNTl445pTP94oo2bCKRtHuJNAuRl5eXsLsNkTIQBvTphRMBAL/sW8P1bc7c8SmQyWUQfAJq17VE/D3N27fCbbNCpdcjfdSYKEYYXXjcFoFjkdRWu6CgqwsEyxK2trZi//792Lp1K1QqlZ9ojqatdizXkyAI2PTv59FavhMr77wVp37waZ8+C/A5BvAWm7TUp7CwEE1NTdi5cyeGDh0Ki8WC+vp6lJeXA4CfaI6n06QUXtZbX/FLCTudTmzbtg2VlZXo6OgQewivXr0ar776Kp566inI5XJcf/31XA5GfYWVW8T6t7BabukEO4/HA4PBIO7gRqPRL0vM1j0J0b6T6Nje2fQJAOC80adDpfC/hdqfuMK1de7rrOhEr6/u4DEmxvjc0dAo1Ghqa0ZFSxXK0kp6/1AC0OhVyBhuROM2Kxq2WNDp9ECV3Pc7gWJ/5CnTIA/o3ED0Tm/HY2CWkN1ZlNpqezwevy4aKSkpEYudWG43mUyGmY/9A+8dPQHVS75F5bdfo2Te/D7FxaO24LleGujKLCsUCr/e3+yuRWtrK6xWq5/TpFQ0x7pTEYPH7dob4mjncDhw3XXX4c033xSLwVmphSAISE5OxpNPPolhw4YdNiKZ3XL2eDxRu7KSChlpLbFGoxGb0hcVFUGv1/eY3ZMW4/MIr8IKSGxsze0t+O+unwAAF4050++1vsYlnbzBRLHH4xE7l3Rn60zEBum20yg1mJg3Fqv2rcGqfWu4FclA1+S9xm1W+DwC6jZZUDg1vc/fUcf6I08NNhHh6TzA45gUybkylK12e3u7OCFw9+7dcDgc/bLVjuV2Sxk8BEddcwPWP/MkVt55CwqOmw1lGCYsPItk1m2Kx9iA0PuZ9K4FgzmjWiwWNDQ0YNeuXRAEQdQn7CEtyTuSEUVyS0sLvvrqK/zyyy+YOnWq35vWrVuH4447Dvv37xef4/Vqqi+wiRIulytioSHtFMD+9fl8Ypa4uLhYzBL3BbZ+eRz0Ab5FMpC49bZ465fo9HXiqJxRGJk11O+13gbXQFtnm80mTtRk9cS9XVxFAo/bktcTkZRphROxat8arN63FgvHnRfz5Xm9XnQ4neLfbW1tYQmw/Emp2PBmJYCuyXt9FcmCIODALz8DGBgmIgNh3+krrK5Zp9OFbavNHqHGi3gkuSbeegfKF78HW3UV1j/7d0y+7f/C/iyP25C3MTKQcPskq9VqZGRkICMjA4B/jbzVahUvwJhpjrS2+XDQfX1FFMkymQwdHR2YOnWqaE0tCAIUCgU8Ho94VdHZ2RnXWbixhAnjcOuSpVa8TBC3tbUhKSkJRqMRqampKC4ujsrORJnkyElkbEq5EjmGLL8Je4zAbdre3u6XJXY6nWI7v9zc3MPS1rkv8Lp/MaYXTgLwAlbtWxOT75dmfFgP9IPNbvH18vJy1KsrYDabkZqaipSUFJhMpiBRJJ28V7u273XJ1r0VaG9sgFytRub4iZH/oCOUWAnSULbadrtdzDb3ZKsdD5Gs1utxzIOP4bs/XIJ1T/0Nwy5YAGNhcY+f4Tlby9YZj7EBke9noWrk2VwXi8WCpqYm7N69Gz6fT0zYMOHc1+TfQEQUyWazGVdffTWAYPOQ4cOH49577wWAw0YgA4d+S3ciubOz06/jhM1mE7PEJpMJJSUlMJlMMbktwXb23gxFEgXvIjlR/HHiAlw+/gJ4fP52516vV+xYsmnTJnFfYqUTgwcPjpqtc1/heVvyzOT8cZDL5Ghpb0VLeytStSm9f6gbWKs+JogtFgva29vFi6b8/HyYzWYIKyqwD7sAdHUkSh+fLNatMlHE6laZKMoaZYZSI4fH5UPt2r53MmnZuR0yhQLZEyYF3TLnbb/hLR4gfjFJJ+yy5TJbbYvFItpqJyUlITk5WTy/xbL7QdmZ52Dr6/9B7crl2P3xYky46S9hfY5HIcp7iWk0zUQCTXMEQUBbW5u4L+3Zs0dsJSrNNhuNxm5j4Hnd9YSfmcgTTzyBtrY2eDwe8eH1euH1enHBBRcA6Mpu7Ny5E2PG8DvDOVykmWSv14uamhqoVCpRELMssclkQnp6OgYNGhT3AnceB32ga0DmNbZEiz6FXAFPpweNLY2i6GHdSwAgNTU1rvvSQIS3ATVUPAaNHquv/gplaSVQyvs2GS7wpMNa9RkMBpjNZpSWlobVO1dqZMFEERPNbJKOXq+HaYgGzVucaN7jQHuLC9rU8C/sB80/DVdWNcB5sLFPvzFR8LbvAImJKZSttsfjEZ0BbTYbfvvtNwAQRQ67sIpWm1eZTIZjn3gatuoqFM+d1+v7ea5J5l0kx9KWWiaTQa/XQ6/Xi+U+Ho9HvKBvbm5GRUUFvF5vUG3zQM82i0eCy+XCtGnTkJSUBK/XC0EQxB22s7MTGo0Gv/32G+rq6nDFFVdg7dq1CQs6GrS0tGD16tUAgPPPPx8VFRUYPHgwnnnmGW4mRZEQjYx4xyYIAlqtrfhu508YoRuMNrvDz9aZ9bhWKBT4+eefkZeXx1VLNl63JY8xBTIsY3Dvb0LXCcxms/mV10gny0SjVZ9UFDFjGNZarGrUFjRv6apn/va1ZSibk42UlBSkpqaGNdlLrddDrdd3u1yie3jaj5VKJdLT0+H1etHe3o5p06aJk4NbW1tRW1sbZKttNpv7VfaVOmw4UocND+u9PAtRnmMD4m9LrVQqkZaWhrS0NHH5rIRQeudCo9HAbDZj2LBhA3IyoCiSlUol5s6dC7VaLZqISM1EmM94SkoKrr322kTFGzEtLS1YvHgxVq9ejV9//RW7du1CaWkp5HI5ZsyYgSeffBITJkzgqlMAr+IFOLJjY1fQ0gl2vzVvxMPbnsPQlFJ8e+E7IW2dWVkPj+uNx5h4oy/rSJplsVgssNvt4qSq1NRUlJSUxOVOAmstNvpEJ3a911VqobWmQqvVor6+Hjt37vTrpJCSktLjLVPe4VXI8BaTtL5W2msXgFj209raiurqamzZsgVqtVrMNPfHVru9qRGNG9aj+MSTeoyLR3iODUh8fNLJpewinY2Dra2tA7ZUVzyLKxQKPProo92+kblyGY1GXH755X1e0AsvvIAXXngBVVVVAICRI0finnvuwbx5XbdgZs2aheXLl/t95uqrr8aLL74o/r1v3z4sWrQIP/30E/R6PRYuXIhHH300rFtDdrsdH374IaZOnYonn3wSU6dORWpqKsxmMy6++GKMGjWqz78p1shkMqpJjoBoxhaOrXNZWRn+/e0HAIAThs4Sr6xDxUWEx0BZV16fFzd+cw9WVf2Od099HnIXYLFYxNnhzBgo0ZMw8ycd2idbt3dg8OCuDDjLcEv78Xq9XlEQOX5dhd2v/wdDz78IY6+6JiGxD3R4HCd7iikpKQnZ2dnIzs4GcGg+RWtrK5qbm7Fnzx5xEpc029xbgql1z24snn0MfJ5OXPz7Zujz8kPGxeuxH+9MbV/hcd2xbHNKSgpXd0/7QpC6dDgcopGIx+OB2+1GU1MTFixYgI8//hhutxuTJ0/u88bIz8/HY489hsGDB0MQBLzxxhs4/fTTsWHDBowcORIAcOWVV+KBBx4QP6PVasX/e71ezJ8/H9nZ2fjll19QV1eHSy+9FCqVCo888kivyy8qKsIPP/zg95wgCKKhCI8cKUI0FkQam9TWmd0a7+zsFC1ji4uLgyZrHmxrxn93h+6NLIXXOnNetyWPMQHBE6KW7VqFfW21+HbzUswfOiek9XeiSS3VI8msQoelEzVrWsQTqlwuF0VOSUmJWCvNRPOOb75Cy/q1QEER1DOOEzOJPP22gQBv4gUIPyaFQoHU1FSkpnZ1SZHuIxaLBTt37hQnmUp7NgfaaptLy5A2fATqfluNVXffibmvvhW0LB6FHiOWNb/RwOfzcS3iByp+InnlypW46667sG/fPj8nOp/Ph/r6epx++unw+XzYt29fn3eWU0891e/vhx9+GC+88AJ+/fVXUSRrtVrx6jWQJUuWYPv27Vi6dCmysrJw1FFH4cEHH8Ttt9+O++67L+IyCZVKJbrb8Qav4gU4fGLrzdY5Pz+/11rRj7Z9BY/PE7I3cih4XW9EaHw+HwRBQF1dndgCkjlmms1mHF00Gfu2f4qDSVYMGTIk0eGGRCaTIW9CKip+aICjoQO2GidMBdqQ72MTdAoKCrC1uqu/cslxs+Hz+cRZ7VqtFqmpqfD5fOIcFh4EBC9xSOHxeO/PegrcR4CuCf1MNNfU1GDbtm2irTYTzUajEcf+7Rl8MGsqdn+6GKP+cBXyjp4RtbhiDc+xAfzHN1DxE8nXX389hg0bhssuuwxJSUliTbLL5cJll12Gf/7zn1G5Zej1erF48WK0tbVh2rRp4vPvvPMO3n77bWRnZ+PUU0/F3XffLWaTV69ejdGjR4u2nQAwd+5cLFq0CNu2bcO4ceMiikWpVHKbSaaJe5HRXWzSDCATxe3t7dBqtTAajcjOzsbQoUODMiC9wWyoQ/VGDoyLR3jclolcV8wSWLqfAIDVakVqaioKCgr86nZntx+D97Z/ilXVsemXHC3yJqah4ocGAEDtupaQIlmKs6UZLTu2AQBGzT8Vyeld5gPMxKK1tRX19fVwOp1YtmyZX11zLNuKDUR4WxfRFlRqtdrPVtvn84l341pbW1FVVYXOzs6uHvCnn43aTxdj+e0344Llv0IuSUDwLPR4jg3gP76Bip9ILi8vx6effoqSEn+L1c7OTlx88cWYN29evya2bdmyBdOmTRNn/n/66acYMWIEAOCiiy5CUVERcnNzsXnzZtx+++0oLy/HJ590CZD6+no/gQxA/Lu+vj7imNRqNbcieSDUJPN4YLJ4vF4v7Ha7X6bY6/WKfa5LS0v73cFkS/0ObK7fDrVChXNGnhJWXLwJUl6J13qSNs5nk+xYFiw9PR1lZWVYs2YNhg0b5lcCxphWOAkAsLl+O+wuBwya0F0gEk3+pEOmIjVrmzHijOCaUCn1v3Z1/0kZMlQUyIC/iUVSUhIOHjyIkpIStLa2oqmpCbt27YJMJvOb6BXK5ORIgccxMtbHllwuF7c9K+NhnQ/UV1yN+iXfomXbFnx+950oveBisUyD55IGHrejFJ7LLQbyOU8JHNr4Wq0WHo8n6E0ymQxTpkxBe3t7vwTF0KFDsXHjRlitVnz00UdYuHAhli9fjhEjRuCqq64S3zd69Gjk5ORg9uzZqKioQGlpacTL7AmZTEY1yREiFXy8DBzMoezgwYPweDxYsWKFaOtsNptRVFQUdWvNJXu6JpvOGzI7bDMJ3rYpz/tZLAg07Whra4NWqxVbsbHentL9uqd9PN+Ug0JzPvZZavB7zQbMLp3R7XsTSd4EifPemt6d92pX/8+KelrPVtQymcyvZlXq/MY6JHR2doq33tmE6VjMdudpPOKdeK6nwM4Hirvvx8o7bkHTe29hyFnnoa6uDjt27BDHooqKLifJUF2CEgXv+xbv8Q1UlMChg4V1sPB6vejs7ITP5xPr8VhP4f6gVqtRVlYGAJgwYQLWrFmDZ555Bi+99FLQe6dMmQIA2LNnD0pLS5GdnY3ff//d7z0NDV23DrurYw4HqkmOjERnRdnkEWmWmNk6s76vU6ZMiXlHgZuPvhqzS2dAKe89S5boddYdPA6s0YpJup+wTLHb7RYnYvalH3pP2216wUTss9Rg9b613IpkQ04yjHnJsNU6cWB9C3w+AXJ59+u5bvUqAEDutKP7tBxpTX9xcbGYRRQnA+7Ygfb2drEXL3sMdNOB7uBRvCQ6plFXXIXtb72O3OnHoGxwGTSmrixyTU0Ndu3aBbvdLjpISns2J3I/4b27Bc+ZZIDP80w4+F2iCYKAjRs3YsmSJaitrUVnZyc8Hg8EQUBTUxPefPNN0fIyGvh8PrhcrpCvbdy4EQCQk5MDAJg2bRoefvhhNDY2il7133//PYxGo1iyEQkqlSpk9pwHeK9JBuIn+KR1oswmXGrrPGTIEBiNRqhUKrS3t6OpqSnkrfFoI5PJcFTOyD69n0d43M8iiYllMaWZYtauirVjMxqNUc9OTS+ahA11W2BOjt74GAvyJ6Vhe20NXHYPmnfZkTHMGPJ9giDAVDII9pr9yOlBJIezjaRZRObW5XK5RNFcWVmJTZs2ITk52U80h2NyEkk8ROJFskKlwnk/roJCcnEql8uh0+mgUqlw1FFHie032YRAtp8kJSX5ieZ4OZfyXAoC8C/iByp+Z4oPP/wQf/jDH2A2mzF48GCo1WoolUqo1Wo4nc5+ick777wT8+bNQ2FhIex2O959910sW7YM3333HSoqKvDuu+/i5JNPRlpaGjZv3oybbroJM2fOFO2vTzzxRIwYMQKXXHIJnnjiCdTX1+Ouu+7Ctdde2692RGq1mjLJERBrkRyqN7FarYbJZOrVjCFe683j8/TZjpjHbcrzwN8bHo9HvHhiF1AKhUIssSkuLo7LSfTSo87FwnHnxXQZ0SBvYiq2f1YDAKhZ09ytSJbJZDjx5TfCElOR7D8ajcavF6/H4xFF84EDB7Bjxw4olcqgyYDhbEfe9udEC9JQ8DAGSQUyi0e6rmQyGZKTk5GcnBxkq22xWNDY2Ihdu3YB8LfVNplMR2QpD+/xDVSUwKE0/eOPP45rrrkGTzzxRNQX1NjYiEsvvRR1dXUwmUwYM2YMvvvuO5xwwgnYv38/li5diqeffhptbW0oKCjA2Wefjbvuukv8vEKhwFdffYVFixZh2rRp0Ol0WLhwoV9f5UjgvSaZ54l7QHQGW5/P51c6YbFY4HK5/GydWd/ZcAaBeNRL21x2jH/+BMwpnYm/z7sPOnX4WWseTlCB8BZTd9uNdVZg+4nD4RBtT7OysiLqTtKfeMJ9nRf86pLXtmDcJSU9vDt+v0upVCIjIwMZGV0TBFl3BKmBhSAIQZMBealX7Qneji0GL/ts847tWHnnLRhz1TUwTJraY1zMVjs9PR1A17p1OBx+F1hOp1Nsz8gyztEou+NdhPKe6R6o+I0wbW1tOProvtWfhcsrr7zS7WsFBQVBbnuhKCoqwjfffBPNsCiTHCH9EcmhbJ0BRO2WeDxE8lc7v0dTWzPW1m6CVpXc59h4gseYgK5Bn/UlZsKYmRaYzWYUFhbCZDJxVcvq8XlgczmQmmxOdCghyR2fApkMEISuDhfd0d7UiOT0jITtG9LuCECwGKqpqYHL5YLRaPTLNvM+XvICT4Jv1+L3ULP8J9iqq3DCl0v6FJdMJoPBYIDBYAjbVttsNkdkvc7TOgsFz+UWMpmM63XXE34T9xYsWICVK1diwoQJyMnJEQ1FBEGA1+uFXq8fsD+0O3iuST4cRHI4ts6DBw+OqP6wt9hiyYdbvwAAnDfq1D4P6jxuUx5iYkLIYrHA4/Fgy5Yt8Hg8Yt15WVlZzG6lRoO3N36EW7+9H6cMOwH/OfMfiQ4nJEkmNdKHGtG004aGzVZ4XF4oNf6TTgVBwLvTxgMAzv7vT0gpG5yIUP0IFEPSetWWlhbs3r0bDocDKpUKKpUKBw4ciFoGsb/wcGwFwpPgm3Dz7dj5/juwVVVi1+v/gfK4E/v1fb3ZaldUVMDr9YolWUw49zZ5l6d1Fgre4xuo+KXqysrKcNNNN2HZsmU4+uijodFoRKHc1NSERx99VLxaO1zgubvFQJy4xyZOSUVxZ2en2Js4lK1zvGKLFvX2Riyv7Or2cu7o0/r8ed62aaKEO5uMKc0UA113FGQyGUpKSpCTk8NNf93e1lG2IQtOTwfWH9gSp4giI29iKpp22uDt9KF+swX5k9L8Xrfvr0ZH80HIVSoYC/gc70PVq7rdbmzfvh0Oh0PMIGo0Gr9Mc6ISPSReuket12P6vQ/h+z9dge0v/BPDx06I6vd3Z6vNss2hbLXNZnNQ4oZ3Ecp7fAMVvz7JX3zxheiUtHLlStFxLykpCa2trWhvb090vFGHapIjRyaTwe12+9UTR2LrHIu4gNiJ0Y+3fQ2f4MPk/HEoSembiOB1EIuHSJZagLNJdsy0Iy0tDaWlpaKIWbVqFfR6PTcCORzG54wCAFS0VMHSYYM5KfSkuESTNzEVG9+uAtBVlxwokhvXrwMApI0cDUUvF7M8XfCp1WrodDoolUqMGjVKLOtqbW1FQ0MDysvLIZPJ/ESzyWSK+S1qHsULbzENOfcCbH7lJTSs+Q11b70KnNr35EO4yGSHbLVZtxWpi2RtbS22b98OhULh10XD6/Vytc4C4bkFHE/jRF9RAhBX7Pvvv5/QYBKBWq2mcoswYf1OmdARBAHr1q2DVquFyWSK2NY52sRaJB8qtej7QM7bNgViJ9xdLpc4E52V2SQnJ8NsNiM3NxfDhw/n4nZ4tEjVpqA4pQBVrfux4cAWHDcoNvM7+kv+RInz3ppmTFnkX07R8D+RnDUuuhm9eKNUKpGWloa0tK6LgECTk6qqKng8HphMJj/hPBAmA/YX3kSyTC7HjIefwEcnHovmpd+hcdMGZI4dF7flS10kga59xWazie3nqqqq4Ha7oVKpsHPnTlE4x/KOaF/hbZseLgSNBszKt66uDna7HVqtFpmZmcjISNwkjljCc7lFogVVb7bOcrkcY8eOFSfX8EYs1t2ugxXYWLcVSrkSZ46YF9F38CaSgf7HJLWdZZnijo6OiMtseBtrwo1nfM4YVLXux3qORXLWaDMUajm8bh9q1wY77zVuWAsAyBwfnkjmbVt1RyiTk7a2NlE0b9++HU6nM2gyYH+FEI/ihccxKHvSFOSffCpqvvkSm196HnP+9Z+ExSKXy8WyC6Brfe3atQstLS3wer3Ys2cPHA6H6NQp7dmcqG1N3S1iQ5BIXrx4MR566CGUl5dDLpdDqVRi2rRpeOCBBzB9+vRExBhT1Go1t+UWcrk8ruUW0vZaVqsVdrsdKpWqW1vnAwcOcJl1iWUm2Zxkwv8dewOa2luQrkvr/QMB8DiIRRKTz+cTJ9mxfcbr9cJoNMJsNmPo0KH9btHF44m8N8bnjsYn27/G+gObEx1Ktyg1CmSPNaN2TQsO7rKjw+pGkqlr0pLg86Fx0wYAQOa4iYkMMyL6Ikilt90LCgoAQJwM2NraioqKCjFRJBXNfb1TxuN+zKNwB4CRN90GeVEJjrv/4USH4odMJoNKpYJWq8XIkV3mUZ2dneL4V19fL5bzSCcDxrNNIc/dLQYyfjXJb7/9Nv7yl7/g7LPPxjvvvAOTyYSGhgbcc889uPLKK/HOO++ITjg8HmCRcKRmkgNtnVnmT6fTwWQyIS8vDyaTqcfb4YnOdHdHLEVypj4dt828LuLP87rOeouJzRCXXkSxbIvJZAq6gDpSGZ87GgCwoY7zyXsTUlG7piuLXLuuFaXHZwEAWnfvQqfdDqVWi9ShwxIZYkJISkpCTk6O6PTKhBCrVd22bRtUKpWfaDYajQOyjzaPMSVn5yDnzHOh4LCDTaDuUalUQb29mdtna2sr9u/fD5fLFbJnczzi44kB3wLO5/NBoVBg8eLFOO200/Dcc88B6FrpxcXF+PzzzzFhwgSsW7cORx11FLxeL5cZxEg4UlrAMWcy6QQ7QRDE9lpDhw4VbZ0TEV80ibdldl/hLa5Qg5fb7fYTxXa7Xew1mpmZGfW2feHElGjC2W5jc0bi5CGzMT53NLw+LxRyPice5k9Mxe//+3/t2mZRJCuTkzHu+pvhdbsgH4BjfLSFQqAQkrYTO3jwoJ/JSWpqqjgZUDrhlLfjHeBXUEnj8rrdaN6xLa61yT3R2zqTlvMUFRUBAJxOpyiaKysrYbfbRfMjJpqjlVygcovY4NcnmbVAYUhXeH5+PkwmU9eHBuDg2R1qtVo0s+CN/ojQnmydWScBnU7Xr4OTV5EMxEZkvb7+A5iSjDhp8HFIVkVmYMHjOhMEAZ2dnairqxOFMWuJxDqUmM3muJt28LaewkGv1uG9819MdBi9kifpaCGtSzYWFuHoBx5JREgDglDtxKSTAfft2we32+03GZBHQcpjTMChuGz7qvH5WfPhbGrCJeu3ITktPdGhRbTOWJtCdmdC2nGlqakJu3fvhiAI4v7C6psj6QVP5RaxwU8kX3jhhXjppZfw+eefY968ebBarUhKSsKTTz4JvV6PrKws1NfXw2KxIDc3F0Yjny2O+gLPmeRw+yQzW2fprXC32y3aOsfKmYxHwceIdmyd3k7c/+Pf0eJsxccXvYo5pTMijivRSPuEWiwWNDc3w+v1wu12w2w2o7S0NOKBmhgYpA02QGNUwWXrRO264Ml74cLr8R8vZDIZjEYjjEYjioqKIAgCnE6nKJrLy8vhdruxadMmpKeni8I5Vrfcw4XX7caEqD4vHyqtDlbbHvz+2EM49m9PJzq0qFxYBHZckTpJWiwW0VZbr9f7tZ8LpwsQzxc+vO5v4eCXEnY6ndiyZQvOP/98DB06FHl5eSgvL0dlZSUmT56Mf/zjH2hvb0dDQwMeeOABnHZa7HoZxgvebalDTdwLZevMBmuTySRewMQ648+72Uk0Y/uhYiVanK3I0KVhVsm0fn1XvNcZa2ckvYhipTZmsxkKhQJerxejRo2Ka1w9weNgHy6CIKDGVoca6wFMK+Rz8ptcLkPu+BRULmuErdYJW207dBlK1K5agcxxE5BkDr9jDU/bKtFCQSaTQavVQqvVIi8vDwDwww8/oKCgAC6XC1VVVUEmJ6mpqTEtXeopVt5g20+uUOCYhx/HZ6edhK2vvYzRf7gaqcOGcxFbNOnJVttisWDfvn3YunWrWOrGRHMoW22e+yQPZPxUlMvlwlFHHSXaOcpkMpSVlUGtVos7iFarhd1uR1ZWVkICjjY8d7eQyWTwer1iXRMTOG1tbUhKSopbfWhP8fEqkoHoilHWG/mckadAKY/84iMe24hdRLGB1m63Q6FQiHWTJSUl0Ov14oBaXV0Nh8MR87j6Ck/7Vl+228b6bZj1nzORmpyCvbf8xqUYAYD8iWmoXNYIAKhd14K0wkZ8cdYp0KSk4o8VtdzGPRBJT08X77x6PB6xTrW+vh47d+4UjSukkwFjKXgSfTHRHdJjPn/GLJScfCoqv/kSq+65E6d++FniAkP8RGh3ttoWiwUtLS3Yu3dvSFttXrfpQMev3OKSSy7BJZdcktCA4o1SqeRKJEttnZuamtDR0YH6+nqx32xJSUnMbZ3DhWeRHM3Y7C4Hvin/AUBkNtRSYrHOXC6Xnyh2OBziRVROTk5Yph28bseByIiMwVDJVWhxtqLaUoPilIJEhxSSvElSU5EWeA92mYhkHjVuwJ5sB8J+rFQqkZ6ejvT0rjpbqXFFa2urKIKYAGIiKJp3BnkVVIFxHf3Ao6j+/r+o/v6/2Pfj9yg8/oSExpaITG1vttrl5eVoa2uDTCZDZWUl2tvbQ9pqE5ERdNQJgoDW1lZs2LABzc3NyMrKQkFBAQoLC6FUKkVrxsMlrZ9oxz232+13K5xl/ZgQTkpKwujRo7m05z1SRPJXO7+H09OBstQSjM8Z3e/v609crOZR2p+Y1bCxXtZms7lPF1E8DqQ8xhTudtMoNRiVNQwb6rZg/YEt3IpkqfNe7boWyC3/MxHpg9Mer8c/T4TTFYHdSi8pKRFFUEtLCywWC2pra8VWYtE0OeH1GJPGZS4tw+grF2HTv57Fz/93Oy5YeVzCuq7wcmHRna32ihUroFKp/Gy1A3s2J0pHDPgWcMChHWDFihW47rrrsGPHDrEedvz48bjjjjtwzjnncCnW+kM8a5IDbZ2tViva29tFW+ecnBwMGzZMbFZfXV0timYe4V0kRwvRhnr0qf3+3r5+npl2SNuxeTwesffmkCFDotKwnsftyGNM4TI+dzQ21G3BugObcdbIk6PynYIgwO06NFa5XK5+nbiNeVoYcpJgr+vAgXUtUFv+Z0c9ns866nDh7WTc1/1YKoJYnap0MiBze2PdqKSTAcP97bwIvkBCxTXpL3di53tvQ5eTA5elFcnpGdzExgtqtRoymQzFxcUwGo1BttrV1dVwu92imySPttq8Ip5ZZTIZysvL8de//hVDhw7F8uXLcdttt0Gr1WLWrFm4//77odfrcdJJJx1WBeIqlSpm5RbM1llaT+zz+USBU1ZWBpPJ1G0XAZ5FKND9xEIeiNa66/R2os3dDgA4d1T/J6r2FpfX6w2aZCeTycT+mwUFBTAYDFG9cOJ14B/IjM8djVfWARv64bwnNSdgj4YGp/j65s2b0aDZK07+Sk1N7bMbXN7ENOz8shYd1k407WiBAn3LJAO0/4RDf9cRayWWm5sL4JA7KjOtYJO7pKLZYDB0u1xeBV+ouJLMKbhw5e/Q5+UnKKoueF1nDGl8oWy1pT2b2YVWcnKyn2hOpK02r/g57v30009QKpV47rnnkJqaCrlcjvb2dpx11ln48ssv8fnnn+Okk07iWrj1lWiKZFYbGsrWOSUlBcXFxX1qHD4QRDKv8UUrNpVChSWXf4D91gMoMOVGITL/zFJnZ2fQJDuVSgWz2Yz09HSUlpbGZeDibTsO9IF6fO4YAMDGum1hm4pIu5C0traKXWvYhMtBgwbB+9M+7McuAMCECROQMlqNlpYWHDhwADt27BDd4JixRW/7Tt7EVOz8shYA4PYUIy1fgD43LwprIDHw2Cs2FseWWq1GZmYmMjMzAfibnDQ2NmLXrl1+FsmBJie8He+M7oRoogUywL9I7slMRNp1hV1oSW21Gxoa/Gy12X4TT1ttXvH79VarFQqFQpxVmZSUBIvFIv6fmW7weoBFQqTdLaS2zizr19HRIfYmZuYrSUlJER9YPItQgP/4ohlbNAWyNDPY1tYmltvk5eWJph3xHIx5Hfh52rf+n73rDo+ruL5ne++r3iXLKu7G4ALGphpTQ0kCIeBAQotNAoRACj2UQAohCZgkEEoCyS+AHWoAYzA22GBwVZcly5LVtV2rsv33h5jx29VK2r4j4fN9+sDSavdq3rx5Z+7ce060Y1RhLINCJMeQZxjNpsOoyiwf9xpu17rNZoPD4YBQKIRWq0VGRkZ41RrO//L5/CDNVS5RIg89Pp9PCbNerx+XXeTWJXv9JchafMxk5DgSh2TfY9zmrrKyMnoKQUo02tvb4fF4KAEaGRmBWCxOakyxYCoiOmIawJe/fwwn3HI75JmpVdhi/QQ92g1iOFttotlstVrR2dmJ0dFRKhWabFttVhFEkvV6Pfx+P62TFYvFGBkZQVdXF1pbW7FmzRoAYHqiRItISXKorbPdbgcAqk2cnZ2d8F0Xn89ntpwBYJskJ0LD2TJiA5/Hh1Yam2lO6EbKZrPB5XLB4/EgIyMDpaWl0Gg0TDysWL2O0xUCvgD3nXE79DIdctRjD/NQaT6Hw0H1T7OyslBRURF1uUTQZ4YhSlwL5UOHDoHH4wWVZ2Qv0tLflxWegTlXR66PfByRIR0ZSK5FcnFxMe2HIQTIbrfDYrHAZDIFlWik2lUzHCYbq/d+cDU6P/4IvtFRrP79n1IYFduZZGLYEU98fD4/yBgHGNNsJnXNobbahDgnylabVQRJwJGj3T179mDlypXQaDT46KOP8O1vfxs6nQ7f//73AcwskjxRuQUR9CbHn06nExKJBBqNhh6Dx2vrPBVYJqEA+/HFG9tfd/8Dv/t0I+5YuR4/Xbl+ytdza0gJGfL7/fRhlZOTg7a2NuTm5lKbUhbA4sLPYkzRzqdrFl4Ou90OU2c/WmzNQQ+YnJwcVFdXJ/XUgM/nU/JTWlpK56fFYqFSY36/H4oCEYaOemDvEiJ3VXQSW6zd/ywTmXSCx+NBoVBAoVAgPz8ffr8fMpkMarUaVqsVbW1tOHDgAK1RJV+plhGbrGQAAE786S/Q+fFHqHvx71hw4wboZlekLDaW5xa5DxPNR6RSKXJycsbZattsNphMJrS0tCTMVptVBKU9TzzxRNx44410oBcsWIClS5fi4osvxne/+10mdpmJhkgkgsvlwieffIJPPvkERUVFKCwsDLJ1LioqSoqt81RgnYSyHF+8sQUCAbxW9xbcPg/y1eFLLcjpAjczSOT7tFotiouLg0w7gDHjDhbH7HhM8YNb42e1WuF0OmkpTX5+Pi2lSRe42UUiNeZ0OtG9aDdaj5rgcwfw5rPvo+BEI800p1M2aqaAxXkcCAQgEomCTCu8Xi/NNJMad6FQOK4ZMNlJsklr6E9eiZK156Ptf29h5/134byXXklqLFxMB5Kc7PimstXu6enB8PAwlSQlxDnVJYSJRBBJVqlUOP/88+m/L7zwwhlhPR0Km82GXbt2YefOnXjzzTfR0tKCb37zm5g7dy6+973vobq6Gmq1Ou0PB5ZJKMB2fPHGVtffhGbzYYgFIpxbcSaAYx3lZCfNPV2I9LicxYWCxZimA7gKA6S+XKFQUL1qtUaNL3oP4L3uHbipfB0kQrbkloglbn6lCK1jKofI9BUhO1sFi8WCo0ePwu1208bBiUwtWJo/rBIZFmMKhVAoHFejSsp1zGYzzRqGNgMm2uRkKhK+/N4HceT9/6HtnTfRvfMT5K44JWGfP1VsrF7HVJHkUISz1Xa5XOOUV2bPno2KitRl/ROJKWc3Of5gdXJEg02bNuHee+9FXV0dSktLcfLJJ+P0009HT08PGhsbmeviTERdbTLBOkmOB5vq3gYAnJq/DN1tnWj4StOakKCCgoKYMoOsjhlrMbG43rjdbvT29tJsMTdjUlJSAq1WG1RfHggEsO7VH8EyYsWpxcuxODd+I5pkwGffC2DsONVU48TKH81BYWFhUB2rxWKhphZqtZpmmlnumWAB6SIvUyESwsct1yG/E9rYReYDN9scT49FJHHpKypRfdU1qHv+GXx6z89x2ZbtKRlflkkyuQ9ZKIWVSCTIyspCVtaxXozpvE5MyQoTOegbN27Exo0bceTIEQDAnDlzcM8992Dt2rUAxuqAf/KTn+Df//43XC4X1qxZg6eeeooONgB0dHTgpptuwkcffQSlUol169bhkUceiYjgzp49Gw888ABWrFhB3/PTTz/Fyy+/nPascTiwSqgIWI4v2tjIA4AQoJf2vAYAWK5bBJFINKWmdTRgbcxYXfjTOU6BQID2JdhsNrjdbtTU1ESscQ6Mjeui3LnY2roDe7sPMkuS3f2fAbgAgBCdX1ro90PrWAEEkeaGhgYMDw9DJBKhsbERer1+3EbhONhELIQvNGvI1d61WCxobm6mpymkOZSoISTa5OSkn92F5lf+hb49X6Dlv6+h/OLLovpbYgHLJJnVzRgw1lDMAnmPFSlNnebn5+PXv/41ysvLEQgE8MILL+Ciiy7Cvn37MGfOHNx66614++238corr0Cj0WDDhg245JJL8OmnnwIYkzg677zzkJ2djZ07d6KnpwdXX301RCIRHn744Sk/f+7cuZg7d27Q95JpJhIvWDbrAKY3SSamHVwJPwDQaDTo8vWhd3QAcpEMN635PhRieULjYhGsXsdUIVRsnxBjYgUsEokwZ84c6PX6qd+Mg8U587C1dQf2ddckKfL4MXDwCwh5C+ENlMDU6MCowwOpOjz5J1qreXljWsoNDQ1wOBzw+XxoamrC0NAQHTNSopFKVy/WiAyr5CUR93s47V232x0kO1dTUwOJRBKUaZ5MuzvS66fIysYJt96Bob5e5J1yatx/SyRgbW5xweo8A6b/syWIJJPjNYVCkZQPu+CCC4L+/dBDD2Hjxo347LPPkJ+fj2effRYvv/wyTj/9dADAc889h6qqKnz22WdYtmwZ3n//fdTX1+ODDz5AVlYWFi5ciF/96le48847cd9998WUwYhVJzkVYJmEAuzHF860g5Bih8NBjV4MBkOQaccrW34NADin/PSEEmSAzTFjcWFNhXnK0NBQkGa11+ulmqA5OTlBTWu9vb0xnTYRU5E9cTjvJRPOnm4MdXdBJGiD11uCQADo3mtB6erINGiFQiEUCgXmzJkDYKwekWSaufbJpDyDFZmx40jOPSYWi8cdtYfT7g6tayaZxmiI6JKf3Jnw+CcDyzrJM6ksljUEkeT6+nqcf/75+PnPf46zzz4bGRkZSSPMPp8Pr7zyCoaGhrB8+XLs2bMHHo8HZ555Jn1NZWUlCgsLsWvXLixbtgy7du3CvHnzgsov1qxZg5tuugl1dXVYtGhR1HGwnklmjVBxwXJ8xLSDEGNiwUkIUFVV1YTHgBuWXYN8dTbmZVclLTbWMNNjCi2nsdls8Pl8VIkkLy9vymbdWOIhJRZNplY43UNQipOznsaK/n17AACavFGMtI99r2tP5CQ5FBKJJEgxgWQWLRYLlRmTy+VBBieJNCdgbR6zmuFLVVY0VA0h1OTkyJEj8Hq9VEJsdHQ05vng9/nAT2LZJOuZZFZjm+4IIsnZ2dlYvXo17r//ftx+++04++yz8c1vfhNLly6FwWCASqWK+wNramqwfPly6k63efNmVFdXY//+/VRYn4usrCz09vYCGMvmcAky+Tn5WSxgmSQfNxOJDOQEhKs8MTo6CpfLhYyMDBQXF0Oj0UR87JujysJNS7+XlFhZXMhYjCleEPcoLikmep5arRaFhYUpkbPKVmUiV5WF7sE+HOipw8lFJyX186JF/94vAYw57/USksypS44XoZlFIpNnsVjQ0dGB2tpaSCQSmmkmpDmeOcnSfGZhfQyHdJGqcCYnQ0ND40xOBgYGgko0Jlu7TXW12Hnvz5F1wolY+vN7khY7y0R0Kn3pdIPl2KZCEEk2GAx47rnnAIw12a1fvx4NDQ3wer04//zzsWrVKlRXV6OoqCjmBqaKigrs378fdrsdr776KtatW4ePP/44/r8kRojFYvh8Pvj9fuaa91ghoRMhXfGFEiC73Q6fz0ePyisqKtDR0YHMzExaO8kKWL2mrMUU7aLKzVCROcHj8ai4fTjN6lRhce58dDdtwd7uGuZIct9XmeTi1VU4+J4QbqcXXV8kjiSHItQK1+v1UtLc1dWFuro6iMXioExzqg0tkgHW4mflfufxeFAqlVAqlSgoKMC+ffugUCigUqlgtVrR2tqKwcFByOXyINLMldq0tTSjY+sW9Hy2E/O+f0PS7KpZJsnRWlKnA6yO3VSYsHEvOzsbubm5qKurw5YtW/Dqq6/il7/8JQoLC3HqqafizjvvjGnSiMVizJo1CwBwwgkn4IsvvsATTzyBb3/721R3lJtN7uvro0d32dnZ2L17d9D79fX10Z/FAlLH7Ha7mfMkZ5VQEaQqPp/PF9RgZ7fbaUaCaNKGZgU7Ozuj/xy/D9duuhWnl52Cb8+7CNIk6dqydk1ZXbwiabzkbpQEAgG0Wu24GvNEIJ73uX3lD3HbKTdibiZ7OqHn/P2f6N+/F7ryCuS+0owj2/th7xzGYO8IVNnJXw+FQiGMRiOMRiOAsetKmid7e3upNCfXSnuqxi+W8HUvt4gWgUAAYrE4yOWNe/pANlIikYgSZuOq05G5+AT0792DL377a6x67PGkxcbimAFsxzbdMSFJFgqFGB0dBQCcddZZOOuss9DQ0IBbbrkFTz75ZMwkORR+vx8ulwsnnHACRCIRtm7diksvvRQA0NTUhI6ODixfvhwAsHz5cjz00EPo7+9HZmYmAGDLli1Qq9Worq6O6fOPk+TYkSz1DbfbHUSKBwcHaSlORkYGysvLp8wuxTJ2n3Z8gf82/A8fH9mFK+Z/I86/InFxpQIsxsQFd6NEGi+FQiGdE7Nnz57SyCVexDpGi3LmTv2iNEGi0aJg1VijdN4SE45s7wcwVpdced7UpzCJnjcCgWBcDSs5gu/v70dzczPV7yXZZrVaHXTdj5OFyMDiOIXjFKGnD2QtsFqt1BpZfP7FwN49qH3ubyj5ztXImzc/4SfDLBNR1sstpjMmJMlKpRIejwcjIyP48MMP8fbbb2PXrl3Q6XR4/PGxnVq06f2f//znWLt2LQoLCzE4OIiXX34Z27Ztw3vvvQeNRoPvf//7uO2226DX66FWq3HzzTdj+fLlWLZsGQDg7LPPRnV1Na666io89thj6O3txV133YX169fHLDNEyka8Xm9Mv59MsG4mwufz4x43rh4tIUFEYYXY+Wo0mqg3MLGQ0dfq3gIAXFB5NsSC5Gi9sriQsRgTADidTrS0tMBms9GNkk6nQ3Z2NiorK+OuXT2OYOQvOSZv1/VFZCQ52eAaWpSVlcHv98PhcAS5wAGgr3G73UytmcczydEhkrgEAgE9VSC/M3jSSfjflncxsOsTfHzPz5G5/lbaDEicIuPV72ZZ3YL1cgsW51qkGEeSSRPUwMAABgcHcf7556OmpgaXXXYZnnvuOSxcuDDmD+vv78fVV1+Nnp4eaDQazJ8/H++99x7OOussAMDjjz8OPp+PSy+9NMhMhEAgEOCtt97CTTfdhOXLl0OhUGDdunV44IEHYo6Jm0lmDaxmHQliiS9Uestut1M9Wq1Wi7KyMmg0mrgXtGhj8/g8eL3hPQDApXPOi+uzpwKL1zTdMZEjVfI1ODiIoaEhGI1G5OXlUVOC6YrXG97F1tZP8N2Fl+Kk/OhVeJKB2r//Dfa2wyi/9JvIXLgYeRyS3BlF814qH4BEPoy4HAYCAQwODsJisYz7IkSKKzF2HGNI9/0+EWI1OVGr1Tj917/F/61aBvuObVh91/3g5+XDarVS/W6lUhlU1xztesLqxgJgO7bpjiCS7PP5sHHjRrzxxhv4/PPPceqpp+LKK6/ENddcQy+Az+cDj8eLadF59tlnJ/25VCrFk08+iSeffHLC1xQVFeGdd96J+rMnAiFjLCpcEKLH6g0QCRElmR9uPXEgEKBNdpFIb8WKaB4EH7ftgnXEhgyFAacksbmKxY1POuYW6T8gX06nE3K5nFp+d3V1IScnh5oUTHe80fAeXq17CwWaHGZIcvOr/0b3rk+hr65G5sLF0BTIocySwtk3iu49FmbXHS4IQVKr1SguLsa+ffsgk8kgk8mooYXX66W6vMQFLlVN2qxmkgE2YwJijytj/kKUX/JNHNr0CppffBZn/PmvtHGb6HcT2blQk5NIGkRZvh+Ol1skD0Ek2e1244477sAPfvAD/P73vx/nTgeAOQWIeMHj8SAUCpklyQC7N2c4wkfE47kZQdJQpdPpUFJSkhKVgWjJKCm1+EbVWgj5yTOiZPE6AsnPLLlcriBSTOxrifJE6HForJKOrGJx7ny8WvcW9jLivOf3+TBwcD8AIGvREgBjczP3BD2a3+nGiNUNy2EnDGXxy36mEjweDxKJBEVFRSgqKgqSGLNYLOjs7ITb7YZGo6E1zTqdDkJhcu551jbEBKw+U+Ile0t/eR9ylq7AnO99P+j7ofrdRFWF2yAqEAiCMs1qtTroOcXqmAHsl1tMZwStDDKZDGazGTKZDIFAIKgEwe/30xueNGsly2gk1WBVK5nrQsQieDwevF4v+vv7gzKCUqmUmnZUVlYmvaFqotgiHTeX14W3mrYAAC6Zc24ywwLA3vVMxrUZHR2lcmw2mw0jIyO0pKa0tBRarXZKGUnWxikeEFMRVkiytakRnqEhiJRKaMtn0+/nLxkjycBYXfJUJJm1axRKZEIlxoj9OCnJqK+vx+joKNRqdRBpjlXidCKwRq5YJnzxxKUtLYP2+pumfF2oqgq31t1qteLw4cPw+XxBzoAsZ2tZvp4Ae/M/GozbPv/1r3+lihNutxterxderxdCoRBDQ0Nwu91wu93w+/3429/+lo6YEwoejweRSMRsTTIAZjScyQOGEB+z2QyPxwOXy0Wl2LRabcxNlIlENCS5f8iMRbnz0WZpx7KCE5iJK5WIJ6bQeWGz2eByuSgpLi8vh1arTVq2LhWId5Gfn10NPo+PXmc/uh29yFXHJlmZKPTtGzMRyViwKMilLO9Ebl2yGfMvL5ryvabTA5DH40Eul0MulyM/Px8AMDIyQjPNjY2NGB4ehlqtDlLQiLVHgsV7HWA7rkTNJ5/Hg6HuTqiLSqZ8bbha96GhIVgsFlitVnR1dcHn8+HAgQMwGAwRmZykEiwT+OmOcU+tRx55BP39/ZDJZFCr1RAKhXTnXVVVBbVaDbFYPK0feKFgNZPMLbdIB4hpB1eOzePx0HrizMxMjIyMxNXMmSxEs2AUaHLxxndfwKjXBT4v+WUgrCHamLgOh+TL7XYHmbloNJq41ggWxyme+1AhlqMqoxx1/U3Y212TdpLcv3fMRISUWhDkncBRuEig8x7LIDXMpP6dnIJYLBYcOnQITqcTSqWSNgLGQo5YnM8sxpQokmyqrcH/vncF+AIBrvh0D/hRrkXcE4jCwkIAwHvvvYe8vDwMDw+jpaUFTqcTCoViXDNgOsb1eLlF8jBu5jzzzDP44x//iD//+c+YPXvsGK6vrw8333wzvvGNb+A73/lOyoNMNsRi8XGSjPEGDQ6HAzwej9qIFhQUQKVS0ax2V1cX1dJmDbFkbJNlHhIKFrM4k8UUqkhis9ng9XopKc7NzU1K8yWL4xQPFufOpyT5/Mqz0hpL/1dOe5mLg09O5HoJ9KVKWA470bPfBp/HD4Fo+jx8E0GypFJpkJmF2+2mGUXiAEfIESHOUqk0afEkAzM9LlVBIVxWK0YtZjT+30uovnJdAqIDsrKyIJfLARxrPrZarTh69Chqa2upTCX5UqlUKRlnVq/nTMA4kvzDH/4Qr732GmbPng2fz4dAIICsrCzayHfBBRdAqVTC5/PNmGyyUChkutwiWWTB4/GMa7ITiUTUoGHWrFmTulsly0wkEYiUJLeaj0AhliNblZmCqNgcs9DrGwgE4HQ6g2qKA4EAdTjMz88f19RyHFNjce48/GP/Kzhq70prHH6fD86esbrjrMXjy4vyluhhOeyEd9SH/jo7chbqUh0iUxCLxUFNXx6Ph2aajxw5goMHD0ImkwVZabOu4c0qqUpUXBKNBotvuR077/k5vnj0IVRcdjkEcZRGEJUp7ponFouRmZlJjc24JifE+IbH4wXVNWs0mqSUTh4vt0gexrFch8NBrZ65F7OlpQVerxc8Ho8qQswE8Hg8iMViJs1EyFgnilSFmnYMDQ1BLpdDo9FQLVqpVBrxzcZqfS1BJLHd++Fv8FbjFvz+3Ptx7QlXJD0mFheyQCAAn8+H9vZ2Oj8CgQCt0Qtn+51ssDZOiYjnsrnn4xvVa6GXaeMPKA7wBQJcU38Yzs6jUOYXjPt53ol61PynAwDQ+YV5WpHkVKxHIpEoiBx5vd4g9Yy6ujpIJBIqK0biYmlOs7puJ3Kc5v/gRux/6o8YPNqBuhefw/zrbowrLmDydYBrckKMbwYHB2kzYHt7OzweD11XiRxhIppEWS63YHWuRYpxTPfiiy/G7bffDgBYsGABvF4vmpubceutt+Liiy9OeNcvC2C1cQ+InYiSI3JuptjtdkOpVFKFgXhNO1gmyZHE5nAN4v1D2xBAAEvyFqQosvQvGlztavJF7H91Oh1KS0snPUFIFdI9TomGWsKOnBqPx4OqoDDsz/KXGOj/d31pwYnXTfw+LF6jVM9boVAYZJtMZDAtFgv6+voQCASwbdu2oEZAFu6vdH9+OCSSJAtlMpz4k5/h45/+GF/+7teouvJqiL4qlYglLiC6MePz+bRUsbi4mPZyENLc0NCA4eFhqFSqoBKNiUp3poqPxetJwHJsU2EcSX7yySdx3XXX4bLLLoNIJIJAIIDb7caaNWvw+OOPM9PNmUiw2rgHRE5Eya6Vmyn2+/30Js3JyaGNmKmOLR2IJAP/v6YP4fK5UW4oxbysqpTFleoxI7XmpHzC4XBQTVCj0Yjs7Gy0tLRg/vz5KY3rONhE9gIt+AIe/L4Auvdbp3z9dH4AJgNCoRAGgwEGgwE5OTnYuXMnFixYQEkz0eTllmekqnaVgFVSlei4qq++Bnv/9HsMdrSj5m8bsfjHP4k5LiC+uc7j8aBQKKBQKKiyCjndtVqtaGtrw4EDByCTyYJI81QmJ8DxcotkYhxjksvleOmll/CHP/wBzc3N8Pv9mD17NrKystIRX0owHUkyyVYQQkyID6kbTcUROeskeSq8Vj9mIHJJ9bkpW2BS8Tmhhi4OhwNisRharRZZWVmoqKgI0q622+3MLbCsxQMkJmv6Wt3beGHff3BO+Wr8cOk1CYgqerx37VXwuV046ef3wDhnvGGUWC6EsVKN/jo7+uvs8Lp8EErSL0EZCVhbjwjpI8fwAOipjdVqhclkwqFDh8Dj8YIaAZO9drM2TgSJjksgFuOkn92FrT+8Dn1fNavGgmQ5J0ql0nEmJyTT3N3djYaGBgiFwnHNgKFzg+Vyi+mOsGnFQCAAiUSCWbNmUV1k4pA1E8GqugUwdmRDjF24WWKn0wmJRAKNRhOW+KQCrJPkyTLJlhEbtrZ+AiA1BiJcJHrMiHsUtwFTIpFQQ5eqqqpJG4lYvY4sxhQvegf78XHbTqjEirSQ5IDfjyNb/geP04mlv7xvwtflLtShv84OvzeA/jo7chfrJ3wta2BtgxUaD5/Pp4SntLSUngISg5PW1lYEAoGg8gyNRpNwEsTaOAHJIXsV3/oO1IXFyDt5ZczvkSp78dDSHe6Gymw2o6WlhfaLkDmk1WqZPRmYCQhLkt9++2385je/wcGDB+H3+2E0GnHRRRfhtttuo8cEMwms1SQTcwa73Q6v14uamhq4XC5q41tQUECb7NIJVskVMPVi9lbjFnj9XszNrERlRnmKokrMmHk8nnGkWCaTQavVIi8vL+a6tuNIPuZnVwMADvbWR/27Pp8PoyMj9N9DQ0NRPxxth1vhcTohkEqh4zjthSJnkQ77XzoCAOjeZ51WJJklRHJ9uLWrxMiCkGZyDO/z+Sgp0uv1casksEqqkvE84QsEcRFkIHUkORTcDRWJgygPWa1WdHZ2wuVyQSwWQyQSoa+vLy7zm2SACBBMV4wjyZs3b8a1116LCy64AHfccQeUSiWamppw3333oaenBxs3boRWq01DqMlDusstyMTnZoqJaQePx0NeXh7y8vKYa5pkmSQDky+4/234HwDg4hRnkWNZLLh6nESVhGyYCgsL43Y5ZPE6TudFdTLMzaoEAHTYu2AdsUMn00z4WiIpRa69w+GAyXxsM9/U1IQ+yWHodDoYDIaIaltNNQcAAIbquZMaLHAVLXomqUtmbd6wSv6iAY/Hg1qthlqtpg1fxP3NYrHg6NGj8Hg80Gg0NNMcraMlq+OU7LhGzCb0frEbJedEt+6niySHgsfjQaVSQaVSobCwkCbUSBNgc3MzfT6QDZVWq2VekpBl0LvK7/eDz+fjD3/4A2666SY8/PDD9EWrVq3CypUrceaZZ+Lw4cNYvHgxszdZLEg1SSaNVFwnOwC0njgvL4+aM+zatQtqtZo5ggywSa4Iport2Ysfx9tNW3Bq8fIURhXZmLlcriCN4uHhYapKUlJSAq1Wy1SmIFlgaW4laq3TyTQo1Oajw9aJmr4GnFq8jP6Me7RK1gVSS56Tk4Pq6moEPj6MDjQDABYvXgzDIiksFgvMZjMOHTpEM096vR4Gg2GcisLAwf0AgIx5k6u5ZM/X0v+PpHnvOMIjEc/JUPc3opLAtUx2uVzQaDRBJRqTkWZWn9/JjMt+5DD+vfIk+L1eXLW3Hsqc3Ih/lzTGsTZmxGZdqVRCJpOhuroabrc7SHaupqYGEokkqK6ZBXWV6YJxd1FfXx912uNi1qxZ9OacaUh2TTIx7eA22YlEImg0GhgMBpSVlUGhUIStxSI1ySxiOpNknUyD7y68LIURHUNoXCMjI0HlEyMjI1CpVNBqtSgrK0uYluZEYPk6zkTMz6pCh60TB3rqMF9bGUSKhUIhbbCsrKwcnwEKea5xj+mJtJ/FYsHAwAAlzaQZzGAwwHRwLJOcMX/hpDFK1SIYZilhbnGi7+D0c96byeCqJBQUjOlcE2kxi8WC+vp6jI6OQqVSBVlpc9cQlu/3ZJE3dVEJjHPno+eznfjyt7/G6t/9MeLfZXVTQcBVtxCLxcjKyqJiC6SR22q1oq+vD01NTeDz+eNMTo43/oXHOJK8ePFivP3221i5ciVKSkowOjoKPp+Pp556CkajkdbGzCQkuibZ5XJRwmO32+F0OmnNaCSNVFyw6NBGwDK5Yjk2r9eL7u5uSo7cbjfVypw9ezY0Gs2MMeuJFSxev3jjIQ1ahdKxDNYHB7dhoXc2dDodMjIyMHv27Liab8mDj+igk8y0xWJBf38/Ghsb0bXnCwCALzMbTqdzUnmpnEU6mFuc8Lr8MDU5kDVXG/Z1LJEH1shMquKRy+WQy+XIy8sDMCYtRsozmpqaMDQ0REmzTqdjbpwIkillxuPxsOyu+7H5/LNQ/+LfsejmW6ApLo3od1kdL4JAIDBhjTpXkhBAUKOozWajNe/kJIJ8JeoZxNo6Hi3oKJBdxC9/+Ut861vfwoUXXoizzjoLCoUCzc3NeP/993HPPfegoqICAFsLY7yIx3GPZNe59cRkF09ExDUaTcw1oyySBYLpmOXuGezDd19Zj0uqz8MPl34v6fOYKyBvs9lgNpup3TvZNCXLqjRSsDzHpjP8fn9Qkw2R2iuS5UErUSMvKw+nnHJK0uYgt+mnrKwMLocDluIS2A41YVitwc6dOyESiWi2Ua/XB5H0nIU61L5yFMBY895EJPk42INUKkVubi5yc8c2ZKSEy2KxoKWlBX6/H3v37qW17Cw1+yZzTc47eSUKTj8TRz/8ALsffQhnbXw2ot+bDiQ50vi4jaLkd4eGhug6VV9fj5GREajV6iDSPBM9MiLBuK3CnDlzsG3bNjz11FPYsmULXC4X8vPzsWnTJpxxxhnpiDHpiCaTTB583Eyxz+eDWq2GVqtFRUVFQjOBLBMY1mMLh//W/w9fdh2AgCfA+mWJl+DiNmGSL7JLJ7XEw8PDWLhwYcI/+zjSi9DOc5vNBh6PB61WS8uqlEolTsEpuOHM5G/QQiFRq3HFtl3w+3zgCwTw+Xyw2WywWCzo7u5GfX09tVPW6/UwVB1zJ+vZb8Wiq0pSGm8sYI3MsBKPRCIJ0uN99913UVxcjKGhIWpiIZfLgwxOZDJZyuNMxXgtu+t+HP3wAzT/51844ZafQl9RyURc8SCeDDy35p2U74yOjtJ1rLW1FYODg5DL5UGkOdWSs+lCWCaXkZGBe++9F/fee2/Q97u6uqDVamecXvJkmWRuhzmpKyY7sVSYdrBORKdbbJvq3wGQOG3k0E2TzWZDIBCg86OwsDBofnR1dWGEI+PFCli7jtNh8eVuiAgp5mqYTmTvzQstLE4x+F+dWggEgqBjWJ/PR7ONnZ2dMA0da9g78nkfRkZGxhEn1snDcUwMo9GIwsIxa3KPx0NJUUdHB2prayGVSoMMTlKhkJCK+ZS16ASUnn8RDr/1Oj5/5AGsff7liOJiuWY30fFJpVLk5OQgJycHwDHZUbI21NXVQSQSBZFmosYVium+PkyZ7hwcHITJZMLu3buxceNG3HfffVi9evWMWhy5meTu7m4IBAKqPjE4OEg7zDMyMlBeXh6RTWSiwOfzj9ckx4BwsR21d2N35z7wwMNFVefE9L6knovbbEWyhVqtFsXFxVAqlRMuWCyOGav3MUvjRK4byRSTDRGxftfpdFNe+3DwB/zg81Lz8A34/eBNEptAIIDRaITRaAQAeJd40ZD/NgY7RzFQO4iPt30MuUIeVJ4BsDt/WADLz0luXCKRCJmZmcjMzARwzKCIS4rEYnFQpjkZz8FUjdfSX9yL9i3vQm7MmPK+ANi3fU52fCKRKMjkhCQPiWsk1+SEa4BDyghZHrupEJYk+3w+DA8PY//+/Xj99dfx5ptvwmaz4ZRTTqE1TtP5jyYIBAI4cuQIWlpacPjwYbz++uvo7OzEM888g3nz5iE/Px8ajSYtx04ELJIqApZjA8aTrP/Wj2kjryhcghxVZDbrRK6PW14jEAjGHaFHcz+wOGYsxpRucOvJR0dHUV9fT08JdDrduFOCaPDCvv/gNzuexPkVZ+HXa+5KQvTj8e+VJyHg9+Psvz4P47z5U75eKBQi/wQDGjq74BsNYGHRUggyvDCbzThy5AgOHjwIoVAImUwGtVoNvV6f9rpF1kgpi/dVJJq/QqEwaMPELc3p7e1FY2MjhEJhEGmOV1YslVrEhqpqfK/+MGR6Q0SvZ21ehSLVmW6BQBC0USYGONzTCLfbTR2By8tTZ9iVaIwjyT09Pdi8eTP+9a9/4eDBg5g3bx5uv/12XHXVVcwU9seD+vp6bNu2DTt27MCOHTvQ19cHo9EItVqNO++8E6tXr6ZHDCyAZSI63WIjpRYXzzlvwt/jltcQuT4iy5WIkwQWx4zFxT8dMRFhfm5NsdfrpfJI+fn5KCwsTMjDSMgX4Ki9GzV9DQmIfGp4R0ZgaaxHwO+H9CviEwlyFurQ8HoXAKC/xoH53y6i2SSPx4MDBw7A7Xbj8OHDOHDgABQKBW0G0+v1Xws976nA2v0Vy/oTWpoTqpzS3NwcpNE92fH7VHGlarwiJcjA9CDJ6YyPa4BTVFRE11KLxcLc8y5ajDMT+fnPf44XX3wR1113HZ599tkgzWSv1wuBQBDzxXjkkUewadMmNDY2QiaTYcWKFXj00UepYgYArF69Gh9//HHQ791www14+umn6b87Ojpw00034aOPPoJSqcS6devwyCOPRNQs98gjj6C3txcrV67E9ddfj5NOOgkPPvggurq6cMUVV8T0dyUTLJIqAhJbum/QcAgdtzZrB/Z2HwSfx8dFlWvo94mGJKkr5ZbXTKhVG2dcLILFOZbsmAKBQFCDCpHjI5nivLw8SpB37949oZZ5LJibOdYsVNPXmJL7x9xQN0aQDUYosiNPAuQuCnbem//tIvpvkUgEuVwOlUqFiooKamJAFBScTieUSiXVaE6FXS5r85i1eLiIZ86FKqdwNbrNZjNaWloAIMhKW61WT3r/pMvVbqDmAA5tegXL7/nVhJ/N4jOOC9biIyYnMpmM2XLRSDGOVc6fPx8ymQyffPIJ+Hw+1q5di3nz5sFoNEKlUsX1YR9//DHWr1+PE088EV6vF7/4xS9w9tlno76+PqgZ8LrrrsMDDzxA/y2XH+uy9vl8OO+885CdnY2dO3eip6cHV199NUQiUZBL4ET4xz/+Me57yTYTiQesy6yxilCS7PK6cH7FWXB53eCPAod6DsFms8HpdFI3ory8PGi1Wkil0qT+baxdT/K3srbQJgPEuIUQY7fbTaWOUinHV5kxC0K+EPZRBzodPSjQRO7+FQtMtQcBAMa586K6xlx76u59kzvvhZoYuN1uqtV76NAhOJ1OqtVLSHMyTHJYm8OsxZMMMsrV6Caf4XA46Kapra0Nfr+f1qzq9fpxBhbpIMmjNiteW7Ma3pER5J2yCkVnnBX2dayvjSTJeRyJxzid5Ntuuw033HAD3njjDbz44ou46qqrkJOTg9NPPx2rV6/G6aefTuuUosW7774b9O/nn38emZmZ2LNnD0499VT6fblcTqVqQvH++++jvr4eH3zwAbKysrBw4UL86le/wp133on77rsvpkxFqm2powHrZiIAmwsIicftdsNms4FvC+DHxd/D4OAgWlpaoNVqUVBQQElxKuNilSSzhETFRDLFhBi7XC5q3FJVVZU2jWqJUILZhlLUDzSjtq8hBSS5BgBgnDt1LTIXqmwZVDlSDPaMome/ddy9PtlcFovFQbJjLpdrnMEFqWUmXzPNRIfFtTEVZJTH41Et3uLiYtr0Sq5/e3s7vF4vVYIhjYDJjisUUq0Oc6+9HvuffAKfPXgvCk8/M+zns3gduWA9vumMsCuSQqHAFVdcgSuuuALDw8N45ZVX8H//93+4/PLL8Yc//AE/+tGP4PP54n642O12AKDF3wQvvfQS/vnPfyI7OxsXXHAB7r77bppN3rVrF+bNm0ezFQCwZs0a3HTTTairq8OiRYuijiPRjnuJBIukioBLklkBcTvs6emB0+nEJ598AoVCQeX6tFptWpuLWF7IWFtoY5lXxDSBkGJi7BOvhnkyxmVuVuVXJLkRa2cnV4PezMkkR4uchToM9vRg1OaB7cgQdCXKmGKQSCRBslJcV7jGxkZqYMC1Uo72WrG0FrGKdGRseTweVCoVVCoVrVkdGhqCxWKB1WpFZ2cnfQa3trbCYDBAq9WmZNN0wi23o+75ZzCwfy/a/vcWSs+9YNxrWFsbQ8FyfKzGFSmmnIFyuRzr1q3DunXr0NXVhdHRUQCImyD7/X7ccsstOPnkkzF37lz6/e985zsoKipCbm4uDh48iDvvvBNNTU3YtGkTAKC3tzeIIAOg/+7t7Y0plngc95KN4yR5coyOjlJCZLfbMTw8DKVSCalUCrFYjCVLlmBvXw2ECimy9JEpWiQbrF3P6byIkTpYMgeGh4cpKS4vL0/ZgzYWzM2qxH9q30BNX2NSPycQCMBUVwsAMM6JLpMMjJHk5v/1AAC691vHkeRY50+oKxxp9LFYLKivr8fo6Cg0Gk0QaY7kucPSfGaRvLCw/nANLAoLCxEIBGC32/HZZ59hdHQUtbW1cLlcdNNEapuTUZ4jM2Zg/g3rsef3j+Hzh+5HyTnnjZOEY/E6csF6uQXLYzcVJnx6WCwWHDhwAP39/cjMzEReXl5QE1+8WL9+PWpra/HJJ58Eff/666+n/z9v3jzk5OTgjDPOQGtrK8rKyhL2+VywnEmeDjXJqYqP22hF1CfI8blWq8WsWbOg0WggEolgMpnQ2toKsViM2965F3X9TfjHZX/GhVVrpv6gJILlTQ9LmGhRJeUzZA4MDQ1BqVTSBiKtVpuUBymQ+Hm+OHc+TsxbiOqMxK2r4eAdHkbx2efA0tgAXQTuYqEIat7bZ8WciwsSGR6FTCZDXl4e8vLyAADDw8OUNBPSxK1p1Wq1abVzn+5gibjweDxa9jZv3jzw+Xy6abJarWhsbMTw8DDtHyDEOVGNoIs23IKavz0Nc30tWl7fhPKLLwv6OesklHUSP50RRJLJQH/yySdYv3496urqqHrBwoULcfvtt+M73/lO3B+6YcMGvPXWW9i+fTvy8/Mnfe3SpUsBAC0tLSgrK0N2djZ2794d9Jq+vj4AmLCOeSqw3Lg3XWqSkwGiU8t1syONVlMdnxMy2jTQgrr+Joj4IqwsXpaUOKMBiwsZCycC4RAIBKjTE2m0GxoagkKhoI52ySTFycbK4qX44NpXkv45IoUCZ//thZh/P6h5b//kzXuJhFwuh1wuR35+fpCklNlsRmdnJzweDzQaDZWcI01jLN1jLJKXdKlITIXQuEI3TSRBwm0EJeophDTHWkon1emxcP2PsPvXD2L3r3+Fsgsvps6UJDbWxosL1s1OpjOC2AWPx0NLSwt++ctfoqSkBB999BHuvfdejI6O4uKLL8add94JpVKJCy+8MKadVSAQwM0334zNmzdj27ZtKCkpmfJ39u/fDwC0jm358uV46KGHaIYbALZs2QK1Wo3q6uqo4iFgvXGPNfJCkGhyRerUuKTY6/VSUhyN+gAZN6KNfHrZydDJNAmJM16wej1ZAHH6Ihuijo4OyOVy6HQ6lJSUQKvVHtfeTTE0BXLIDWIMm93o2RfcvJequUwkpbikeXh4GGazGRaLBR0dHfB6veDxeOjp6YFIJBqnnpAOsHivsxgTMDV5D7VKJv0HFosFra2tGBwcpBtoQpyjacpecOPNaPnva5iz7vsI+P3ANCLJrNtmT2dQkkwmwY4dO+D1evHUU09Br9eDx+NheHgY5557Lt544w1s3rwZF154YUw32vr16/Hyyy/j9ddfh0qlojXExNWutbUVL7/8Ms4991wYDAYcPHgQt956K0499VTMnz9WS3f22WejuroaV111FR577DH09vbirrvuwvr162PeRR7PJMcGsmjEGh/peObWFPt8PqpTm5+fP6W25mSx+f1+bKp7GwBwSfXEBiKpBIubnnRmkrmkmOhUy+VyKk5fWVmZdhe3ZGPEM4oRzwj0ct3UL44BQ709kGVkBmXGogGPx0POQh1at/ZhaMCFwe4RqPPkQT9PNXg8HhQKBRQKBa1pHRoawhdffIGRkRHs3bs3SHLMYDDEvJYkIlYWwVpc0RJRiUQSpJ5CSrEsFgt1hCQbbJJp5srJjns/jQZX7Nx7XN3iOIIw7pza6XQiEAjQZgqZTEbrdeVyOfr7+wHE9kDduHEjgDHDEC6ee+45fO9734NYLMYHH3yAP/zhDxgaGkJBQQEuvfRS3HXXMdtWgUCAt956CzfddBOWL18OhUKBdevWBekqRwvWSTJrpIqLaOLz+/1wOp20ntRut1O/d6I+EavNb7i42pxH0Ww+DLFAlHT1gEjxdV/IiL0tlxQTneqCggJ6ZNrc3Awej8cMQU7WdXti599w34e/xbUnXIHfrb0vKZ+x6bwzMdTbg2+8/i6yl5wU03vkLBojycBYyQWXJLMA0ggmEolQVlYGo9EYJDl25MgR+P1+SpgMBkPC1prJwOLazXK5RTwxicViZGZm0hNmr9dLM80dHR2ora2FRCIJstImG3KC6WomcrzcInkYR5JJXRep9xGJRBgdHUV3dzfq6upw2mmnAUBMi8tUC0ZBQcE4t71wKCoqwjvvvBP1508EoVDILEnm8/nMZpKByUkycWEipMhut4PH41FtzJKSEqhUqqTc3DweD9v7xmrXzypbBY00PiOcRIK1B2cyM8nE5ptsjBwOByQSCbRaLfLy8qDT6WaE3X2syFFlwh/wozZJChdupxP2tsNAIABN8dTlbRMhl1OX3LPPisrz8hIRXtIQTnJscHCQkubDhw8DQNDRfLQ2ytHEwhJYJXyJjksoFCIjI4PaqJNTK6vViu7ubtTX10MsFgfNAYVCAQQCaHl9E+r/+TzOf/k1CCQSZseM4Hi5RfJASTKZAKWlpdDr9di9ezdOP/10aDQa7NixA1dccQXkcjluuOEGALGRZFYhFouZVbeYTplkn89HSbHVaoXD4YBAIIBWq4XBYMCsWbOgUChSstjweDx8aT4AALhkzrlJ/7xIwfr1jBdkDpBGO4fDQR9EOTk5qK6uhkwmm/J9WH4gJRJzs6oAAHV9jfAH/ODzEruumutrgUAA8uwcyIwZMb9PTog99XQDKd9Rq9XU3ILYKBMbbR6PR8mSwWCAUqmMex6ySK5YXn+SOVZCoRBGo5GaoZENvMViQV9fHxobGyEQCKBRyLHvjlvhMg2g7h/PYf4PbmTyOnLBenwsxzYVxmWSFy5ciPXr19OO8blz52LlypW44IILcNVVV0X0gJtuIDrJLE40lkmVz+dDIBDA0aNHMTw8DIfDAZFIBJ1Oh6ysLFRUVIw7zkoVeDweHlv0CwxneXFa6ckp//yJwNr8AuLLJJPTAi4pFgqF0Ol0yM7ORlVVFWQyWUx/N2vzPhnxlBtKIBaIMOgeQrutEyW6woS+v5k47c2J3kSEC12JEhK1CC6HZ0p76nQi0jWc6whXUlJC57HFYoHJZMKhQ4fA5/OD3AATQZpZAIvPOSD1cQkEAnptgbG1jJDmnG9/F0eefBw7H/kVXHMWgC8Ww+/3MysFdzyTnDyMI8kKhQJr166l/167dm3Qv2cijmeSIwO3ycpms2FwcBCBQAButxs5OTlxEaJkQMwX4cwqNmqRCVi6nrHA7/djcHCQkmK73Q6BQMDExmg6QiQQoTKjHAd761Hb15hwkmyiTnvRm4hwwefzkD1fi/ZPBuDoGsGQyQWFUTKt5zIXfD6f9kaUlpYGEab+/n40NTVBKBQGkeZITsVYJaQsxpTuseLz+dS0pPju+/CP/74CZ1cnBre+B9GqMzA8PIytW7cGNQKyoKACHK9JTiYisqIiF2CmXgSRSMSs4146zUSIRi2XFMtkMlpPqtVqsWfPHhQXF0OjYUNeDTiW8WP1Ac5aXJNlkgkp5iqQEEKRkZGB2bNnJ4UUT/fNRDSYm1mBg731qO9vwgWVZyf0vc31Y057hjlzp3jl1CAkGQD6am0oXT3mYMnScyFRc4ZLmMrKyihpNpvN6O3tRWNjIz01IzrN4e4DFudwusnoRGApLoFEghN/+nN8dMt6tL34d5x80SVwazQoLi6mBidtbW1UQYUQ50glShMNlsZupiEikszCTimZYNlxL5UScERChxCioaEhKqHDVR4IjY+1B8He7oO44b93YIVmMVZhVbrDCQLrCxlpcOK62pFmy1TXlbM2r5KF6swKAEBdf3NC3zcQCMDcUA8AMFQngCTP09L/7605RpJZQzLmJpc0A8fqWc1mc1ATGCHMer2eliayds+zel+xRvQqv3M19vzht3AcaUPHf/6F3G9fOa6unag1cbW6uVbqqXKFZDWTzOpciwYRkWQuWJvIiQCpSWYRySShRIydEOPh4WEolUpotdqIjRtYJMmb6t/BIcthZAsM6Q5lHFgbL7LQA0B9fT0GBwcBgGZHSktLZ0wtZjxI5nVbWrAYl8/7Bk4pjk2ebSL43W4suOGHMDc2QFcev/V19rxjp0V9Nfa43286I7SelUgbWiwWdHZ2oq6uDhKJBFKpFB6PByMjI8z087D6DGctLoFIhJPu/CU+uOkHaHvx78i68JKgn3MVVIhWN9dKvaurCy6Xi+r+kxKNcA6x8YCsSzM9mZkuRHS1iJORQCBgahInCl8XneSRkZGg8omRkRGoVCpotVqUlZXFZPGbznKQcPAH/Phv/f8AACcblqQ5mvBI53gR0wVSU2yz2Wg8arUaZWVlSZPliwbp/vxU4qT8RTgpf1HC31cgkWDpL+5N2PtlVGvA4/MQ8AfQW2NL2PsmEum6twQCAQwGAwwGA8rLy2n/xpEjR+B0OrF9+3ZIpVKqnBGtG1yiweL9xRpJBoDZ37wC7Vveg/LU0yCcxIgECDa4KSgoCLJSt1qtqK+vx+joKNRqdRBpjvaZGwpWda9nCiYlye3t7dixYwdaW1shEAgwe/ZsLF26FEVFRamKLyVgvdwiloWf3KDc8gm3201JcXl5ObRabdy7WtYyo1907kenowdKsQKLdHPSHc44pHohI9kNLin2+XzjDFw+/vhj5ObmMpPtAmbGUd1MglguhGGWEqbmQQzU2+Hz+pm8RiyQBSI3Njw8DB6PhwULFtBj+fb2duoGx20ETBVpZpGMAmzGxRcIsObZf6ChoSHq3w21UgfGElVkHjQ1NWFoaAgqlSrI4GSq09tQkHJM1saOYLr3s4VlSF6vF3//+99xyy23IBAIjAlsAxgcHERubi7+9Kc/4fzzz09poMmEWCxGIBCAz+dL+FFIvIjUTISQIW4tqcfjobvWqqqqpDQVsEaSN9WP2VCfM+s0iPki5hbeZI9XuHlA6uR0Oh0KCwsndBpj6Tp+3eD1e9FqPgKZSIZCbWKMOky1NZDqdFDk5iXsHsiap4WpeRBelx+WlrEyHZbuL1YRamzh8XgoWSIWygqFIog0J8ttktX7nLW1motAIACBQAC/1wt+HBxBJpNBJpNRR2OXy0UzzS0tLdTEjWtwMtU8OF5ukVyEvdrvvfcebrzxRlxzzTXYsGEDPTqor6/HY489hquuugqffvopqqurUx1vUkB2bi6XizmSPBGp4h6bk2yxz+eDRqOh6hNqtTrpTQMskWSf34f/1r8LAPhG1TlAL5sLbyLHi3tiQLLFXq+Xbo7y8/OhVqunXEBZGyOW5lUq8Iv3H8ZfvvgHbl7+fTx45s/G/ZyojNhtx2qB+/v7kTWknFBdZMuN18JcV4Pz/rUJJeckxlAna64Gda8dBQD0HrQBlQl524SBtft9onhEIlGQhbLH4wlyAzxw4ACUSmUQaY42wzgZWBojAtauHRc+txvtL7+IXW+/jm9v/xwygzEh7yuRSJCTk4OcnBwAY83zZPPU1taGAwcOBJ046HS6cad9x8stkotxjNDhcOCJJ57AVVddhWeffTboZ6tWrcKqVauwdu1aPPLII/jHP/7B9MSOFGTxYbEumZAFv98Pp9MZVFMcCAQoKS4oKIiIDCUrPhaw6+iX6HX2QyNRYXXxyfiidzczsREk4l4hR3bcMhpCinNzc2PeHLE2Vl8nVGaUAwDqv1K44G6CLRYLVRlxu4+dKlksFnzySTckEgmtdTUYDJBKpfB5PLA2j1ldG6qqEhZn9nwt/f/eGhuyGCPJrCHSe0okEiErKwtZWWOKIW63O8gN0Ol00mN58hVrLSurz2xW4wIACATo3/4RnN1d2PfHx7Hi/oeS8jFisThoHnBPHNrb21FTUwOpVBqUaSZjxuzYTXOMI8kulwu1tbV49NFHw/6C3+/HjTfeiB/96EdJDy5VIIsNSySZZI4GBgYwMjKCHTt2UJconU6H4uJiKJXKtB+xsESSdVItvjP/YmikakhFY0dUrMRGEMt4jY6OBtUUu1wuqNVqaLXahJXRHF9gJ0ey5/mcr2TgansaUFtbC6vVSmvH9Xo9VRn56KN6HMKY411lZSWKVhphtVphNpvR0dGBmpoaKBQKSB12+D0eiBRKqAoS10OSPVdL/7+v1oasb2onfO1xjCGWe0ssFiM7OxvZ2dkAjikRmc1mNDc3Y2hoCGq1OijDGClpZpWMsrZWh6L8hvXYe9sGHHxmIxau/xHkmcmXQAw9cfB6vfRZQFRUSJKvs7MzYpObVIKlWGLBOJLM5/NhsVhQWHjM+cnpdKKmpgbLly8Hn89Hbm4ulYqaCSA1P+kkyVx7X5vNRp3M5HI5+Hw+Fi1axKQUF0skeU5WBTZe9BgAUEk/VmLjYqqYyAORzIXR0VGoVCrodDpUVFRAo9EkpSyIpbFibZ4nA9zr7BgYI759wyZ4BT7MmzcvopMhgUAAo9EIo3Hs+Jcc29f/38sAAH5uHnZ99hlVVIhXgkpTKIdUI8Ko3YPegzbMhzbm90oGWCWA8UIikQSR5tHRUZppbmxsxPDwMNRqdUTXmaX7nAuWr10gEEDmytXIOuFE9O35Anue+B1WPvRYyuMIrW33+Xzo7e1FTU0NNbkhzpAk28wib5hOGHcXicViKJVKOJ1OGAxjOrOHDx/GySefTBvIAoEAPQ6YCYNPsnCpVLggYvSkdMLhcEAoFFIns/LycigUCtjtdtTV1UGlUqUstmjAEknmgtV5yXW3I//vcrmCGu2Gh4cpKU6UCkmkcbEEFudVPOBmgYhZD6k7XTxnIfL35aDT0YMhuQtarTamzyDH9m0OGwCg+MSlKC4uhtlsRl1dHVwuFzWGMRgMUdvq8ng8ZM3Vov3TMXtql82Lr/q6jyMMkkX8pFIpcnNzaQMYIc1mszlIaoyU4XDXEFbJKKtxAWOx8fl8nPTze/DmZReg9u9/xaINt0CZk5vWuAQCAT1JPOmkk+D3++mzpL+/H83NzdQIh5w6sCDxOZ0w7skrkUiwYMECbNq0Cd/97nfhcrnQ2dkJtVoNYIzcvfnmm1i2bFnKg00WeDxe0g1FvF7vOFIsFouh1WqRlZWFioqKsA04rJJQAlbie6PhPRRq87EguzpIcoaF2LggcfX399PFjJi46HQ6zJo1CxqNJm7tzFjA2lhNd5CNMCHFxNZdp9OhpKRk3BH5nKwKdDp6UD9wCCcXxWcsQpz2MucvoGSKNHmazWaYzWa0t7fD7/dTa2WDwRDRAzRrngbtn47ZU9tbXTDks/XA/ToSgFDSTPR5zWYzamtrqamFXq9Pi21yJGCdJPN4PBSefiayT1qG3t2fYc/jv8Gqxx5Pd2hB48bn8ykZJnbqDoeDzoWWlhYACNJpTkcv03RC2Ezy1VdfjfXr1+N3v/sdAoEAAoEAzSoDQF1dHe64446UBppsJFor2ePxUFJstVrhdDohkUig1WqRk5OD6upqSKXSKRcFVkjoRGAhPo/Pgx+9fResIza8ffU/cUrRUqZIssfjofPAYrEAAI4cOQKdTheziUuiwdrDibV4IgHpIyCk2G6306PPvLw86HS6SbVwqzMq8N6hbajvb4o7FnN9LQDAUH1MK5yr20oUi5xOJyXNLS0t9CFLSHO4jTu3Ltl+aBQsOb+zcL9zkS7iJ5PJkJeXh7y8vCBTC4vFgoGBAXg8Hnz++ecpt0+eDNOBJPN4PCz75b3470Vr0fDSC1j2y/sg0WimfoMUxBYOfD6fauKT1xLSbLVacfjwYfj9ftr7oNfroz5dmgqsXtNIEfYMd926dRCJRNRlTyAQ0LpdgUCAZ555htpxzgTweDyIRKK4apLdbjfNGtlsNjidTsjlcqo8odVqYxKLZ83RLhQskOSPj3wG64gNRrkeywpOCPpZOmIjpJi7QVIoFNBqtSgsLERjYyOWLFmS9odSKNJ9HUPBWjyhCHUvtFqt4PF40Ol0yMjIwOzZsyeUZwuHs8tXQSqUJMSeeunP7oaptgbGufMnfA3XVre4uBh+vx92ux1msxm9vb1oaGiARCKhhJkYXmRxFC7sLa64Y53JYGEOh5pa9Pb24tChQ8jNzaU22h6PhxKlWMpwEhkri/D7/XQ88lauxrK77sesiy9LO0EGgmObCqT5X6PRoKSkhG6UyQaqvb0dXq+XzgWdTsfEBiqdmLDQ8Tvf+c6EvzSTCDJBtJlkUkdKvoaGhigRKioqglarTYgYPI/Hi8hMJF1ggSRvrhszELmo6hwI+WNTOpWZZGJBSzZIg4ODkMvl0Ol0KCoqgk6nC5IZbGxsTHpM0YLVhxMrIOPDdcziKlAQxZl46v1WFJ6IFYUnJiTeim9/BxXfju53SO2iTqcDMFYuQhQVuIYXapkW4AEIsEeSWcxGshiPQCBAQUEBPVEYGhqiRKmjowNerzeojjUVpNnv9zM3VgTcecXj8bDkJ3emOaJjiGfOczfKRUVFQXPBarXi6NGjcLvddI0jpw6s+UkkE2H/0n379sHlcsHtdsPj8cDtdsPn84HP58Nms+Hyyy+fcTUsU2WSR0dHg0gxqSPVarUoKSmBVqtNqNg7AQskdDKkOz63z403m7YAAC6ZE2yYkKzYSH05lxRLpVJ6aqDT6SbcILFUBhIKlmJi5WFJxP2HhobQ0tISZNSSl5eXtoxbKjCRcobZbIYsR4CRbh/sraPo7+2nY/J1zjiFA0v3FEEoqeLxeFAqlVAqlSgsLByXXTxy5AitXSekOVl1rKzc96GYjIgO9fVCkZWd4oiOIZGbi3BzYXh4mCYGSH07V36QhXLBZCIsSV69ejWGhoZoyQWPx4PL5YLf74dcLsell16aNMvMdIFLkgOBACXFXG3adDRXpZuEToV0Z7o/Ovwp7KMOZCkzsLxgSdDPEjV24RqwJBIJJUpT1ZqGA2vXlMWHUzrGiJwKkEwKUaDg8XjIzMxEaWlpUrMoXY4e1PQ2oNxYhjJ9bPrG3Ts/gd/vQ8a8hQk9DuYaXhxcakX95k74XYCjw4Vad23cyhkzFazdW1PdV+Gyi6R2nTgCBgKBIGMTtVod99/J4ikAQbjYfB4Ptv7wB2h5fRO+89l+aEvLmIktUeDxeFAoFFAoFMjPzwdwrCnUarWioaGByg9ymwGTkTBMF8Ku9jU1NeDxeBAKheDz+XC73WhubsbDDz9M65VnGgKBAF555RU8+eSTMJlMuPvuu6lhQzK1aacCeciwuoCkm8RvqnsHwJgNtYAfnMWKdbx8Ph/VrLZarVSJhJBirVY7zho0UrB4Db/OCLcBkkql0Ov1QSdE+/btg1KpTPoacPcHj+K1urdx3+m349aTb4jpPXY/+iA6t2/D6X/+C6qvXJfgCMeQNVeL+s2dAAChVYlV316M4eFhSqSIcgYhUZEqZ8QL1tZJ1uIBoo8ptHY9EAhgcHCQXuvW1lYACCLNsVxrFseKIFxsApEILvuYac8Xjz2Es57+e9piS+VmlNsUChyTH7RardTohkhbEqGC6YywKz7XSISgoKAAmZmZuPDCC3H++edP67pkv9+PhoYGfPzxx/j444+xfft29PX1YceOHTjrrLNw9dVX49RTT2Xi6JDcmH6/n4l4QpFOkuwP+PF5514AwCVzzhv380hjIw1L5OSAaFbrdDrk5OSgqqoKMpksoQs4i5lklmJK1sOS2LuTRZ0oUMRzKpBIVGdW4LW6t9EwcCjm9yDyb4bquYkKaxyy5x3LUFsah4MyTuSYlkukiHIGaQCcSDnjOFKDeMadx+NBrVZDrVajpKSEqrpYLBaYTCYcOnQoSIosUkOL6UaSAeCkn9+N9i3vovmVf2PJbXdCN7uCmdhShVD5QWKSRDbL5PvTFVGlRWbPng0+nw+Xi61mjWjgdrtRWFiIwcFBrFixAqeeeirWr1+PDRs24M4778SFF16Y7hCDwHINK5BecsXn8fHlD9/Dp+1f4KT8ReN+PlFs4dwNiZFLVlYWKisrE06KuTEBbF5P1mJKRDyhChQ2mw0AYlagSDaqM2YDQMwycMMD/RgZ6Ad4POgrqhIZWhCy52np/1ubh8f9PByRIsoZPT09EypnzDSkm8CEQ6Jj4vP5QYoJXG1erqEF2RxNZJ3M4lgRTJStzVp0AkrOvQBt77yJ3Y8+iDXP/iPlsUWjbpEKcN0hSS/bdMaEJJl0Nnd3d2NkZAQqlQpKpRIvvfRSzG5QAPDII49g06ZNaGxshEwmw4oVK/Doo4+iouLYDmx0dBQ/+clP8O9//xsulwtr1qzBU089RV3+AKCjowM33XQTPvroIyiVSqxbtw6PPPLIlMehYrEY7733HqqqqoLqZiQSSUod9yIFy6QKSH8GUsgXYlXJ8gl/HggEwurXCgSCtBAlVh8CrMYVC4gCBfkikkbxKFCkanyqM8dIcpOpFR6fByJBdKVtRB9ZU1IKkVye8PgINEUKSFRCuAa9sDaNJ8mh4CpnzJo1a0LlDC5pjqWsjzWixeK6newx4mrzlpaW0g2SxWJBX19fkHUy91SBtWvHxWSxLf3Z3Wh7500c2vwqlvzkZ0Ha5OmO7Tjix4SM8umnn8ZvfvMbdHd3U53ks88+G4899ljM9ZgA8PHHH2P9+vU48cQT4fV68Ytf/AJnn3026uvrofjK3/TWW2/F22+/jVdeeQUajQYbNmzAJZdcgk8//RTAGIE/77zzkJ2djZ07d6KnpwdXX301RCIRHn744SljWLBgwbjvicXiuHSSk4XjJDk8fH4feDwe+Lzxu1RypO73+2mNFNGvNRqN1PI7nQsLi9eTpZiiuTZEgYIc8ZHua51Oh9zc3IQ1kKVifAq1eVCKFXC6h9BqOYLKjPKoft9cXwcguaUWAMDn85A5R4Ojn5nh7HZjxOaGTBt5s06ocga5hmazmd6zxCHOYDBMa+UM1ghMqu9z7gaJuMCR5lhyqiAWiyESiSAUCjE8PJy0k7xYMZmChHHefJRddAlaX9+E3Y8+iLUv/CulsR0nyclFEEkmg/3UU0/hvvvuw80334xvfvObkMvlaGlpwW233YYbbrgBL730El3cosW7774b9O/nn38emZmZ2LNnD0499VTY7XY8++yzePnll3H66acDAJ577jlUVVXhs88+w7Jly/D++++jvr4eH3zwAbKysrBw4UL86le/wp133on77rsvps7KRDvuJQrcxj0WkS6S/Gbj+/jFlodx/YlX4cfLr4PT6Qw6UidxqdVqVFRURFQTlwqwuulhYWxCMdEYcXWpLRYLbRTR6XSYPXv2tNbx5PP4qMyYhS+7DqCuvzkGkvyV015VdTLCC0L2PC2OfmYGAPTV2lF8SkbM7yUWi6lyBjB2mkicAInsFLHPTpVubyLA2n1OkM77nVuvTE4VbDYbWlpaMDQ0hB07dkAikQTVNMuTeCoSCaYioifdeRda39iM7p2fYNRmhVSrS1lsrJVbcEHU0aYzwpLkv//97/jZz36Gn/zkJ/RnRUVFeOedd7BkyRJ0dXXBaDQmZAdjt9sBHDMo2bNnDzweD84880z6msrKShQWFmLXrl1YtmwZdu3ahXnz5gWVX6xZswY33XQT6urqsGjR+PrUqRCv416ywG3cYxHpkIALBAL4z8E30OXoRVP7Iezw7kAgEKBH6qWlpVAqldi1axcyMjKgUqlSGt9UYHXRYPWBzlUbsVgsVIFCp9MlVaM8XajOrMCXXQfQ0N8MhGlInQyWFDTtEWRznPf6am1xkeRQSKXSIFtlopxByjOIcgYpzyCbYBazaqzFw9oYCQQCGAwGmM1mKBQKVFVV0Xu9s7MTdXV1VHGGfMVzmh0LphozQ1U11r74bxSsOh3iFD9vWLueMw1h0y2Dg4PUdYkLtVpNfeATAb/fj1tuuQUnn3wy5s4dW9R7e3shFovH1T1nZWWht7eXvoZLkMnPyc9iAaskGUh/3e9kSEVspPmKZA97TL3Y0rodAHBhxRosnLUQSqVy3G6a1XFjMS6WFtlAIACXy4Xh4WHs27cvSIEiNzd3xjZ5EVy54BKsLDoJJ4ZpRp0Kpz76ewwc3I/sk5YlIbJgZM3V0v/vPWhL2udMppxB1BQEAgH0ej19PrHSjMnafQ6wGRNwrDkutBTH6/VS0tzR0YHa2lrIZLIg0pzs9SASIlp2/kVJjWEiHCfJyUVYkrxy5Ur8+9//xpIlSzB79mwMDw+Dz+fjV7/6FQoKCpCRMZYxiPfCrF+/HrW1tfjkk0/iep9EgNWaZIBNUkWQjNi4Lj+EGPt8Pmg0Guh0OuwfbYDb70aJrhDnLDpjwnnI8sLB4vVMV0zkehNZNpvNRiUP8/PzmVCgSOVnLys4AcsKTojpd7NOOBFZJyTG2nrKz5p7TAaur9aWks8EJlfO6O3txZ49e4KUMwwGQ1rNr1hbh1glVROtP0KhEBkZGZR3eL3eIDfAgwcPQi6X01IcvV6f8OsdzZgFAgH0fr4LOctWJDSGicByucVMQBBJJgN9//3347LLLsPZZ5+Nk08+GWq1Gg0NDWhubsaf//xnlJXF7yyzYcMGvPXWW9i+fTt1cgGA7OxsuN1u2Gy2oGxyX18fsrOz6Wt2794d9H59fX30Z7GA5Uwyn89nklQBiSHJJPvDrSnm2v/m5+cH2aD+cvdjAIBLqs+bdOFidXPB4gMq1TGFU6AgjVrFxcW0G567NhwHW5CoRFDkiTDU5UFfrR1+fwB8furnNrcxrLW1FStWrKAGB4REEXODeJQzYkGqjR4iBYtrUKREVCgUIjMzE5mZmQDG7NJJ0+fhw4dx4MABqpRCSHO85ViRXkefx4NN556Bvi9349L3tiEnBSc6rG56ADaTQdEibCY5Ly8PO3bswEsvvYSPPvoIo6OjWL16Nf71r3+hpKQkrg8MBAK4+eabsXnzZmzbtm3c+51wwgkQiUTYunUrLr30UgBAU1MTOjo6sHz5mNTX8uXL8dBDD6G/v5/eKFu2bIFarUZ1dWwNK6xnklmuSY72RiC231xS7Ha7odFooNVqkZeXB7VaHbab3eEaxJaWjwEAl8w5N+GxpQKsxpXMmLgKFFarFaOjo5MqUAwODiYtlliRymu2q+NL7O2uwdrZp6M0Qnvqjg+3YLDzKPJOPhXasllJjnAMqlIxhro88Az7YDsyBH2pMiWfOxkEAkFQ5tHtdtPM40xTzogFrJKqWDcUIpEoiDRzlVJaWlrgdDqDNkmx2CZPpm7BhUAkgr6yCn1f7sbuX/8KF216O+q/J1pEGttxxIYJW8CFQiHWrVuHdeuCbU3jTe2vX78eL7/8Ml5//XWoVCpaQ6zRaCCTyaDRaPD9738ft912G/WEv/nmm7F8+XIsWza2Kzv77LNRXV2Nq666Co899hh6e3tx1113Yf369TEfs7CqbgGwS6qAyLPcIyMjtHTCarXC7XZTkpSTkwONRhPRg+p/TR/C5XNjtqEUczKndjdiddxYiyvRiyxXgcJqtdIHlU6nQ3l5eUQKFKyNUSrxyPY/4eO2nVBLlRGT5Pp/voCWza9ixX0PYfGPfzL1LyQA6lIxencMAQD66+1pJ8nhCKBYLKbmBkCwckZNTQ08Hg+0Wi0tzeCeWiUjnnSD5fsqEWMVqpQSbpOkUqmCSPNUJwvRXMcTf/pzNP37JRz9aCu6d36C3BWnxP03TRUbi6cVMwUTPqWcTidqa2vppHK73QgEAjCZTFi3bh3Ky6OTJiLYuHEjAGD16tVB33/uuefwve99DwDw+OOPg8/n49JLLw0yEyEQCAR46623cNNNN2H58uVQKBRYt24dHnjggZhiAsZIstfrjfn3kwmWSfJEsRFrSvLlcrmgUqmg0+lQVVUVMSkOxbzsKtxw4lUo0RVOuWixOm6sPTQJ4hkrUhdKrrfD4aAKFEVFRTFlb77OmJM5Gx+37UR9f3PEv0Pl31KgbEGgLj2WlOirs6Py/LyUfXasiFU5IxawuP6wSNyBsTUkGdKNoZskl8tFSXNjYyOGh4ehVquDSHNoHNGMmbqwGFXf/R7qnn8Gnz18Py5+8/2kjjer1xOYgRJwBJ2dnfjBD36A999/HxqNBiKRCHw+H3K5HD09PTjllFNQXl4eU1Y5kkVDKpXiySefxJNPPjnha4gkXaJwPJMcG0hshBST7CFxadTpdKioqIBGo0nIAlidORuPnXNPVLGxBhbjinYhIwoDpOucq0CRk5OD6urquGSaWByjVII479VFSJJ9LhdsLYcAIKWOX+rSYxuf/jp7yj43UYhGOYOQ5mg1e1kkCSzGBKQmLolEgpycHOTk5AAArV+3WCxoaGjAyMgIJc16vR46nS5qIrrkJ3ei4eUX0f3pDnTt2Ib8U09L0l9zvNwi2QhiLYT0/u53v0NfXx+2b9+OU06Z+KhgJqX4xWIxhoentldNB/h8PnM1yaTuq6+vD06nE59++ilUKhW0Wm3Ex+nJBstEi8W4JouJqzhisVhgs9kAAFqtFkajkQkFimQi1X9XdcYYSW6IkCRbm5sQ8Pkg0WihyE1dNldZKAZPyEPAG0B/fXpJMpm/8VyrcMoZNpsNZrMZ3d3dqK+vh1QqpU1hUylnsHqfs3ifpisuqVSK3Nxc5ObmAhgrDSSkub6+HqOjowgEAjhy5AiysrIiqmFX5Rdgzrrvo+ZvG/HZQ/fj0pWrk/a3HS+3SC7CspijR49izZo1lCCH3ugs3mDxgmV1CxbIHlEcIZli4nImEokgk8mwaNGipHeM/2X3i6jKnI2TC0+EgD91qQar85TFuMLFRJoriTQbUaDQ6XQoLi4Oq019HIlBZUY5eOChf8gE05AZRoVh0tebG4gd9ZyUzi+eENCUSGE7NAJT0yB8Hj8EopkzJ7jucMAxzV5SmkGUM0iWOVx9K2v3e7qfJROBFfIuk8loOQ4ADA8PY/v27XC73dT9UavV0nmh1WrDkuYTbv0p6v/xHLwjIxi1WiDTT34PxwpWxi0UgUCA2bkWDYJIMhnoFStWoK2tDUePHkVBQQGTFyDROE6Sg+HxeCghttlscDqdUCgU1OWMPAx6enrQ29ubdIJsGbbiF1segdfvxZ4fvo9ZhqlVVljYXIQDq3F5PB709/dTUjw6OkpLZubMmTOh4kgywOIYpTIehViOYl0B2qwdqOtvxqqS5ZO+3lw/RpL1VakrtSDQl8thOzQCn8cPc8sgMqs0U/9SEpCK6xOq2UuawsxmMxobG+lRPSHNLB6Fs0yqWIyLlI1VVVVBIpFgZGQEZrOZOgKSxk8uaebz+VDm5OKbH3wCQ1U1eElMJhzPJCcXYUnyhRdeiOuvvx7XXnstrr76akgkErjdbirifeaZZ2L+/PnMTupYQP5GFpEKwhBOjUAul9Os4UTWv6kiM280vg+v34t5WVUREWQC1ogWAQtxca/54OAg7HY7FAoF9Ho9MyUzX2dUZ8xGm7UD9f1NU5NkmklOXdMegW62HHjHDGCsLjldJJkglc+kyZQzDh48CJfLRUlWopUz4gGLz21W+QRZq/l8Png8HuRyOeRyOQoKCoIaP4kjoNfrhU6nGyPNuXkIAEjmX+X3+1Om+/11RNia5GeffRbbtm1DZmYm1q9fT60ipVIpent78dRTT2H+/PnUFWsmQCgUMqtukYyaZK/XG6RGMDg4CJlMRtUItFptRHJ6qSLJm+vHmjQvmXNexL/DqglLurKk4RQoJBIJtXXNy8tDQUFByuM6jvC449QNuO2UG1CZMbWS0Bl/ehqWxnpoy2JTHYoHuvJjjWx9dXbMvSzlITCDUOWMvXv3gsfjweFw4MiRIwgEAtDpdAlRzogVLJNRFuMiz95wsYVr/BwaGqKnC0QtRSURY3T3Z1jw/evHacLHC1bHbaYgrOPevffei5/97GcQCoVU2UIgEIy7EDOFIANjGYGZnEn2+XxBNcWDg4OQSCTQ6XQoKCiATqeLSWM6FYRvYMiM7Uc+AwBcXL02qt9llSSnAlwFClI2M5ECxb59+5jKGh9f9IGFOZGXTsgzsyDPzEpiNBNDN/uYikm6m/cAduYOj8eDQCCAWq1GaWkpAoEAHA4HLBZLkHIGIcx6vT5q5YxYwOKaCLBL9qJpCOXxeFAqlVAqlZQ0O2w2vLZqKYaPdsDqdkN54jK6USJeEPH83SyW9BDMWAk4qVQKkUhEC6/9fj98Ph8CgQC8Xi8kEsmMS++LxWJmM8mxEFGfz0ezhjabDQ6HA2KxGDqdDnl5edDpdJBKpWmJLVq83vAu/AE/FuXMQ4muMOLfY7GuFUheXFwFCvLFzVzNmjULCoViwkWLtbFiKZ50LvQ+n49ez+6ubvr9hoYGBAqcMBgM0Gg0aYtRlS+FSCaAZ8SXVhk4luYLF+S68Hg8aDQaaDSaccoZXV1dqKuro8oZhEDFao41GVgmo6zGBcS2BvB4PGh0OlR/6wp8+btHMfr26zj9hzfDarPBYrGgtbUVAGh5hsFggEqliuqzjtckJxdhSfKePXvw5ptvQi6Xw+VywePxwOVyQSAQwGKx4Nxzz8WFF14Yt/seS2C5cS+SsgGfzweHw0FJsd1uh1gshlarTYhu7URIBRE9VmoxuQ11KFglyUDiHuhce2+LxRKkQFFYWAiVShXRPcriw+nrCnICYLFY8I/9r6De1Izvll2CspwSaLVaAE4AYzWuDocDtW9sxtCB/cg5ZSXKzl4Lo9GYkowkiZUv4CGjSo3uvVZYWp3wjHghkrFzKpFOTHafT6accfjwYRw4cCBIOUOv1yfstIfF+30mkmSChRtuwcG/boS5vhb9H32A8osvQ3FxcdDpgsViQUtLC/h8fhBpnqokh9VxmykIuuPIYO/btw8PP/wwiorG7FD5fD68Xi8GBgbgdDoxZ84c+vqZgulmJuL3+ykpJvWl5Cg9KysLlZWVkMlkSb95kk1ER70udDnGrMu/URVdqQWrC0c8cXk8niBSzFWgqK6ujtnJkLUNBYvXLpnjw9WgtlqtAMayS5s63sVhewd+cNrVqCyrRLeijv5OZmYmShdlYei1f+Po669CJZOiZ95CNDQ00Iyk0WiEXq9Pqtshj8dDZrUG3XutCASAgUYHchfpk/Z5EyERZCYZiDSeaJUzJpIemwqsZh5ZJXuJmFdSrQ4L1/8Iu3/9IHY/+iDKLrwY/K9KWENPF0JLcribKb1eP440s1xuMRMQVt3iBz/4AX7wgx+Me/Gbb76JDz/8EGvXjpGVmVaTzHK5Bbd8wmq1wm63QyAQUFJcUVGRFjOHZJMrqVCCfes/QMPAIRRqozNJYI34EUQTF7fB0mKxBEnxzXQFChavXaJANjskg+RyuaDRaKDX61FYWEjrFOc2VuGwvQMNA4dwRtnKsO9laawHAJQsXYa5S5fSjKTJZEJLSwucTifUajWMRiPV8k00Scqcc0zRor/OnhaSPNMQqpzBlR47ePAgPB5PUMYx0pIbVu8rluNKRG3tghtvxoGnn4S1qRGHXvsPKr51xbjX8Pl8aLVaaLValJaW0mZri8WC/v5+NDU1QSgUBpHmmXSizyIierqSi3DBBRdg586duOeee/Dyyy/D6/XOmAc0a417fr8fTqeTEmKTyQShUAitVouMjAyUl5dPWl+aKvB4vKS7AfJ4PGrTG+3vsbzwhgM3k8BVoCDlE8nKCrI2Vume14kG92FnsVgwODhI5fZmz5494WanKqMcbzS+h4aBQxO+t6VhjCQbKqsBjM9IhsqSEYkqkmlOhMJCFock99U74nqveMHS3ElkdlQmkyE/Px/5+flURYGQ5ra2NgCgxGmyY3qWM7Yskr1EZWolGg0WbbgFnz14L3Y/9hDKL/km+FPwJ1J6odPpUFZWRuvYLRYLent70djYSHvFANDmTxav73TFpFeI+9D0+/30ZpwpxJgLkUiU1kwyqUPkGnjweDwqxZaRkYHZs2czN/mTSa6G3MMQCYQQC2InhSwRPwLuNQwEAnA6nZQU22w2ekKQzFry40guuFJQxMabZIDy8/Mjbsoi8m+NE5Bklz77I5gAANzISURBVN0OZ3cXAEBfVR32NaGyZE6nk5LmlpYWqrBAMs2xNPRmVgdnktMBFu/1ZMXEVVEoKiqita1msxkDAwNobm6GSCSihNlgMAStI6w9RwA2rx+Q2E3F/Ot/iANP/xmZ8xfBPeiAVBfdiUtoHbvP58OuXbsgkUiobTqR9SRfqepPmKkIy3aPHDmCzZs3QyaTYXR0FB6PBx6PB5999hkaGxvxyCOPAJhZ5RaprkkmDysuKQ4EAtBqtdDpdCgtLaWZgPr6eojFYiYXtmSS5L9+8Q/8YeffcMfK9Vi/7Jqof5+17CgAqhZjNpvR19cXtQJFsmNjCazFMxVcLhclxcTGmxyHx3pdq74iyU0DLWHHw9LUAABQ5ORCotFO+X48Hg8qlQoqlQrFxcU0M2UymdDR0YGampqomsVITOo8GaQaEUbtnrQqXLCIVNzL3NpWckxPlDM6OzuDlDOGhoaYVKdiOcOdqLjEKhW++2VNRPdqJBAIBBAKhcjJyUFOTg6VeuVed4lEQu9lvV5/POkSJcI27tXU1OAnP/kJDAYDAoEABAIB5HI5Kioq8Nhjj+Eb3/gGADZ3o7Ei2TXJJLNECDEhR6T+qLi4eELpl2SYiSQKySSir9W9DduoHXJxbDc1KySZq0BhtVrhcrng9/uRnZ0dlQJFMjGT7uVkINz4EMdCQoqHhoagVqupjXciTAPKDEUQ8oUYdA+h09Ez7uekHllfWRXT+4dmpjweD80yk2YxrVZLM83hHONIvWZmtQYdu0ywdw5j1O6GVJO8ZsFwYOFeD0W6YuJe1/Ly8iDlDKKdbjKZaKY5kcoZseLrQJIBJIwgE3Dj4+puA8fWKLPZjI6ODtTW1tLNEpkfiZCCnQwsXtNoELZx74ILLpiUlM3EQnFSk5yoGyJUs9Zms8Hn81FSHK08F4sPACB5sTWbWlHT1wAhX4iLKtfE9B7pGjeuAoXVasXw8DAlT1VVVWhra0Nubi5ycnJSHttkYGmOsbiwBgKBoLpih8MBqVQKnU6HkpIS6HS6hGfoxAIxyg0laBg4hGZTK3gIPp61HRorw9BXRW48MhlEIlFQsxix3DWZTGhvb0cgEIBer6elGdw5kzlnjCQDQH+9A4XLjQmJKVqwNndYiIdbp+52uyGVSqFWq4M2QxqNhpKnZDR3RgIWxioUySLv9iOHcfCvG7Hi3gchiEMPezI+JhQKYTQaYTSO3Ytks2SxWHDkyBEcPHgQcrk8aLOUDG3u6YwJt46kRra3txf9/f3g8XjIyMhAYWFh0nce6YBYLI5LJzkQCGBkZCSIFHM1awsKCsJmYSLB15Ekv1b3NgDg9NKToZfrYnqPVC245IiLa/FNFCjKysqg0+mCsjTt7e0piSsasPpwSvfnj4yMwGKx0OZZ0kiTnZ2dsnrxFy79IzIUBujlOnyIuqCfrXjgYcy77kbwk1T6JpfLIZfLUVBQQOteTSYTent70dDQQO9/gUAAQ4WC/l5/nT1tJJklsJgdDQQCEAqFYZUzyDE9Uc4gWcl4XeEijYu1sQKSE5ff58N/L1qLwY52aEtnYd4Pboj5vaKJL7Spl6uy09bWhgMHDtCGYkKakykfOR0wIUluaWnBnXfeiffee492d+bk5OD666/Hj3/84xlHlKM1EyEPUC458nq9NGOYl5eXMI/2rxtJDgQCeLX2LQDAZXMuiPl9kjVuXI1qklGM1uKbxevJYkyphsfjCaorJtJsJCOTjubZioxZE/6Mx+NBXViUkji4da9lZWXwer34/PPPwefzcfjwYXSOWulr2/f2YZGvOKV9K6zqJLOGcKRqIuUMYmwCIKgJMBl9E18nkswXCLD45tvw8U9/jC9//yiqvrsOwhg5VTzxiUQiZGZmIjMzE8CYNjd5rrW2tmL//v1QKpVBjYBfN9IcliR3dnbi2muvxcjICN58803MmjULbrcbmzZtwhNPPIGRkRHcd999M6rsIhKSTDLFhBi73W5KinNzc6FWq5PyUCBmLiwiGUT0YG89WixtkAolOLfijJjfJ1HydKTJkiwedrs9rowii5se1h5OqTwF4OpQc6XZKioqqGEDqeVjbZzSCaFQCLFYjJycHOTn58NS7EDd3f8DALTv6cXWrVuh0+loaUa0drszASwSv6nWnsmUM4hW72TKGfHExdpYAckrL62+6nvY84ffwNnVibrnn8GCGzfE9D6JNBMRi8XIyspCVlYWgGOGNsQN0Ol0QqVSBZHmiUrMWHvGxYoJSXJjYyMOHDiA3Nxc+v077rgDMpkMf/rTn3DffffB5/PNGJIcrtyCNFwRUuxyuai7WVVVVczuZtEiFVrEsSIZhO/VurEs8pry06CSKON6r1hi4x6zk+vv9/tpA1O8ChQsPggA9ha1ZMQTuuHhSrNFegqQagy6nPj19j/jsOUIrgsce5DaWlvwv+duQe6KU7DghvVpiY17jfR5aiizpHD2jcLTzceKFStgMpnGSc2RJsCZdhoZDqzdUwTRrEHhlDPI/UMUFGQyWRBpjiXbyCpJTlZcAokES27/GbbdugF7Hv8Nqq++FqIY5NqSqS8damjDVfBpbm6mzcqEMCejLyPdCEuSSTNKuN2hTCZDWVkZAMyowSCNe8888wy2b9+OgoICnHXWWVCpVNBqtaioqKDHrqkGi5lHAnJzJnIhuWrhZRALRFhReGJc7xPNuJGbn5TOuN1uWk+eDAUK1q4niw+nRGF0dJReW4vFErThKS8vj0h8P533oEwkxV+/eBFunwffcq2j37cdakLrG5vhHR5OG0kGgudOZrUGzr5RDA24gGEhiouLg6TmzGYzjh49irq6Osjl8iDr7HjXVlbLLViLJ961ms/nUzJMlDOIffbhw4dx4MABmm2MRjnj60aSAaDqynXY+4ffwtF+BDXP/gWLb7416vdI5bhJJBIqNwccW1stFkuQdbper4dWq6WqOdMZYWduYWEhVq5cibvvvhsPP/wwRkZGIBAIcODAAbz00ku47LLL0NXVRWsxS0tLUx13QtDX14dt27bho48+wvvvvw+v14u//OUvWLp0KU477TSsXLky7bI4ANskmdycibxRZxvLcPdpt8X9PpONWzgFCrKwJ/uUgNXryVJM8cwlrjSbxWLByMgIvbZz585NWK9AqiDkCzHbUIba/kaYh4/V/To6OgAA+srwJiLpQOYcNQ5/1AdgrHlPmTmWLQ6VJCO136HqCqQ0Y7pdo4nA0j1FkGhSJRQKg+paScIhnHKGwWCAVqsNe22/jiRZIBJhyU9/jg833IC9T/wOc6+5DmJldKen6Sx7lUqlyM3NpRUHhDSTa19VVQVllH8PawjLAAOBANra2rBr1y689tprmDt3Lux2Ow4cOAC9Xo8PP/wQmzZtgsvlQlFREV566aVUxx0XvvzyS1x99dVoamrC/Pnzcdppp+Gee+7BNddcg507dzJXmM7n85lcbIFgkswauGR0KgUKrVabspMRFh8ELMYU6Zzy+/0YHBwcJ82m1+tTfm2ThcqMWajtb4Rp2AJgTEXC0fGVFXFVbBrJyUAW13mv3o7S07LCvk4kEgXVPo6MjNDSDK7UXCyNYqzNZdbiSfZaHZptjFQ54+tIkgGg8ttXouaZv6B4zdqYfp+lceOSZlZLRKNFWJLM4/Gg0+lwzTXX0MEXiUQ444wzwOPx4PV6IZPJ4Pf76e4xGmzfvh2/+c1vsGfPHvT09GDz5s3UoAQAvve97+GFF14I+p01a9bg3Xffpf+2WCy4+eab8eabb4LP5+PSSy/FE088EdGupbi4GA899BBWrVpFjwP6+/sBjO2CWSPJrNckA4lZeL1+L2575z6cU34azi5fBSE/9iy+3++Hy+XC4OAg9u7dC7vdHrUCRTLB4qaCxZjCgatBTsooSCPlTLXyJvbU5mELNF+R5EEGMsmhcyZzzjGS3BeF855MJkNBQUGQ1By3UUwsFgdZZ4dbo1mcvywRGIJUxxSJcobBYIDX66VZZ5bGLNnjxRcK8a0PP435M1icYwSsxhUNwrIQvV6P1157LWkfOjQ0hAULFuDaa6/FJZdcEvY155xzDp577jn671BCc+WVV6KnpwdbtmyBx+PBNddcg+uvvx4vv/zylJ9vNBpx8cUXB32PLLrxaCUnC6wezwOJJcnbj3yGF/b9H95sfB/Nt34a1e9yG7K4Nt8ikQj5+fmorKyETCZj4qZlIYZQsBZTaDxcaSKLxQKPx0Nrxidzq5wpqKIk2QoNCgAALpsVYgGgm12ZztCCkFEVnEmOBaGNYj6fjzrEcWteCWHW6XQplZqbCUjXvRKqnEFOgciGqKamBo2NjbSWOVHKGfEgFSQ0nvefSSpjLGLSVF0o8ZmICEV7gdauXYu1ayc/WpBIJLSjMhQNDQ1499138cUXX2DJkiUAgD/96U8499xz8dvf/jZIkSNSkOPY4yQ5OiSSJL/2lTbyRVVrIBJMfjweat5itVppQxYpoSAWrHl5eXHHlkiweD1Zi8nv98Pr9aKlpQUWiwVOp5PqdVZWVlJptq8LCEm2DFvB7QBRFRZFXcOYaHAf8FK1CNpCOWwdw+ivsyeEYAgEgiDXMJfLRTORtbW1cLvd0Ol0UKvVANjKrLEUCwFL9zmfz6cbosOHD+PEE0+E1+ulpRlEOYOUZqRDpzdV1zAQCODotq3Y98ff4+xn/wGZ3hDx77E2xwhYjSsaTEqSQ//AVP7B27ZtQ2ZmJnQ6HU4//XQ8+OCD1I98165d0Gq1lCADwJlnngk+n4/PP/98XJY4EhzPJMeGRJFkl9eFNxvfBwBcNvf88K9xuYKO2LkKFAUFBeMUKKxWK7Pjxmpc6QI5CSCZYpvNBmDsfiwsLEy7iH2678FiXQGkQgkEvGMbA75IDH1lSdpimgiZczSwdQzDNeiF/egwtIWKqX8pCkgkElr3yD2+JyVzH374YVBpRrozkayBVVJFnBtJkx+AIOUMrk4vIc2hbqbJQMoytYEAdt77S5hqDmDfHx/HivsejOBX2FR0mUlIv3RDGJxzzjm45JJLUFJSgtbWVvziF7/A2rVrsWvXLggEAvT29o6rhSZap729vTF9pkAgAJ/Ph9vtTsSfkFDw+Xxma5IJ4iUQH7TugN01iBxVFpV+83g8VKWAq0ARjU41i2Q03YQrHNIRE1c+iJwEEPOJ7OxsHD58GFUMNaWlEwK+AHU/+hgHXb3YubMZAHDBf/6LvMXsaQ1nVmvQ/L8eAMBAoyPhJJkL7vF9RkYGtm/fjsWLF8NkMgVlIglhnsz8IBlglZCyGFO49Wcy5Yz6+nqMjo5GpJwRb1ypGC8en4+lv7gXb19xCQ7+9UksuGkDFFnhT9MJCC84Xm6RPDBJki+//HL6//PmzcP8+fNRVlaGbdu24YwzYndgmwpisZhJZzsWSRUBj8dLSHzEhnpt6Wk43HqYKlDI5fKYVQpYHTcWH1CpgNfrDToJIJqaOp0O+fn5UKvVdLG3Wq1f23GaCEaFAeAdSwLwBAJIdezpkGZUqun/99fbUX52Tko+l5gq6HQ66HQ6KjVH6pmbm5sxPDxMSZXRaEy61ByL6w+rxD2SuEKVM4aHhylpPnr0KHw+H9VA5ypnJDuuRKF4zVpkLTkJfV/uxt4//BYrH/ntlLEB7D5TWI0rGjBJkkNRWloKo9GIlpYWnHHGGcjOzqZHawTkWGaiOuZIIBKJmMwks0r2CGKNjzRtdPV34Z2mDwAA80Wz4Xa7E6JAwfK4sRZXMsbK7/fD4XBQUuxwOCCTyWjNeCqOSo8j9cjkyMANNDjSGMnYms7NRBI5MpPJhI6ODvj9ftogZjQa43LSnAisEYXpTJJDIZfLIZfLqXKG0+mE2WyGxWLB4cOHwePxgkxNYrm+qRwvHo+HZb+8F69ffB5q/v5XLFz/Y6jyCyZ8Pckks3g9ZwomfEK9/vrrGBkZgdvthtvthsfjGfdfl8uFhx9+OOlBdnZ2wmw2093j8uXLYbPZsGfPHpxwwgkAxurQ/H4/li5dGtNn8Hg8iEQiJmuSWdZJBiInWOEUKPh8PuwCJ4rU+XAF3Fi35sqEZXZYJcmsxhUviDQb17mQK802Z86ciK2IZ+oYxYPavka8Xv8uMr5q3fvit79G0cmPQZBGDehw18hYoaL/398Qm8JFomIJRagcGVFWGBgYQHNzM5WaI1/xykSyOIdZjikessfj8aBSqaBSqajLI5ES7OvrQ2NjI0QiUdD1jWQ9SvWmIn/V6cg9eSW6P92BL3/7a5z2hycnjQ04Xm6RTExIki+++GKIxWJIpVIIhUIIBAIIhUIIhUKIRCKIRCLw+Xw8+OCDUV8gp9OJlpYW+u+2tjbs37+fOjLdf//9uPTSS5GdnY3W1lbccccdmDVrFtasWQMAqKqqwjnnnIPrrrsOTz/9NDweDzZs2IDLL788JmULguOZ5NgwkY7zVAoUpaWlUCqV4PF4OH/FWlhGbAm92VndXbMYV6xa3G63O6iumEiz6fV6lJSU0Ot7HPEjEAig1XKEkmRTzYG0EmSC0OsrUYqgLVLA1j6EgQZHyjNx0bxWrVZDrVajpKSESs2ZzWYcOXIEBw8eDGoS0+v1MSmqsDj/WYspGWUDfD4fWq0WWq0WZWVl1FDKbDajo6MDtbW1ESlnpJokj2WT78Omc89Aw0sv4IRbb4e6KHyDLuvlFjMBE5JkkUiEHTt24MQTT0z4h3755Zc47bTT6L9vu23MgnjdunXYuHEjDh48iBdeeAE2mw25ubk4++yz8atf/SpoV//SSy9hw4YNOOOMM6iZyB//+Me44mI1k8yymQgQTOKJAgWpPeUqUITWnYZCL9MmLS6WwGpckYDrXBgqzZZIO2/WFn0W4ikzFAf9W5mXn55AIkBGlRq29iG4Br1wdI5AUyBPd0hTIlRqzu12U6m5uro6uFwu2lgaab0ri6UNLMZEkMy4BAIBJcQAaL06VzlDrVbT8gxSDpYOHeLc5Sdj7rXXI3f5yVAVFE34uuPlFsnHpAWBw8PDACbXS45l8qxevXpSkvDee+9N+R56vT4i45BowDJJZpVUeTweBAIBtLe3Y3h4GENDQ1SBIhI928OWdmQqjVCKk9MBz+q4sRbXRHOMHEmTTLHdbodIJIJer0dRURF0Oh1zDpXJQrqvmVwkg1p6rJRBxTBJzqzW4NC7YwoX/Y32aUGSQyEWi2mTGCklItbZpN6Ve3Qvl0+Pv5FFkpyOjGhovXo45QytVgtgjGCnmiyv/t3UST/SrMoi0r1eJgrjSDK5gQQCAXw+H4D06iWnCsdrkiODz+eD3W6nmcTBwUE6H0pLS6NWoPjx23fji859eObi3+P8yrMSGiurmwvW75+RkZGgumIizZaRkYGKioqUOReyeO3SDb1MCwt6YUMfypTpl3+b6BplchQuBhocKD8r+QoXySR/PB4PCoUCCoWCOsXZ7XaYzWZ0d3ejvr6eHt0bjUYqNccyIWUJLJQNhFPOMJvNaG9vh91ux9atW6HT6WhpRiKUMyKFz+MJW1rF4vyaaZgwk+z3+zE6OprKWNKO4zXJ40EUKLiZRLFYTMsn9Ho99uzZg/z8fOh0uqjeu9vRix1HPkMAAczLTrweLsskmaXyGY/HQ08Bdu3ahdHRUXrsGM6kJRU4vvCPh8Viwcd7X0E7mgAAr/4LeNX0BV588cWo771kI7M6WAZupoErNTdr1qwg0wsiNadWq+F2u+FwOJKi3xsPWLu/WCDJoSDKGUTAoKioiJbftLa2JkQ5IxLUPPMXfPn7R3H+/21GxrwFQT9jnSSzHFukmDCTnJeXR52K/H4//H7/jJdrEolEzOokp4pUEQcrQoqJAoVWq0VWVhYqKyvHZRJjJaOv1b2NAAJYVnACirSJPzpmlSQD6c3mkCwY9zSANOSWl5dDq9XO+Ht9OuL73/8+OgYOBX3vww8/xNVXX40333wzTVGFfxAauZnkxtTJwKXroRxqejE6OgqTyYT6+nq0tLTg0KFDlFAZDIa0NrSySKxYJMkEpKRhIuWM3t5eNDY2QiwWB13jSJV8pkL3Z59iqKcbnz/8AM7/12tBP0tHvfTXDeOehGTAW1tb4ff7sXPnTnz66acQiUTIy8vDkiVLUFLCnhVqIiAWi792meRoFCgSHd8rtWMP9m/OvSDm+CcDiwsukPq4uNJsxPKZz+dDr9cjLy8POp0OPT09GB0dpU1LLIDVDU460NzcjK1bt477vs/nw5YtW9DS0oJZs2alIbLwkChF0BbKYesYRn99ahQuWJovUqkU+fn5OHToEBYsWACRSASTyURNTYgUGWkCjFdqLhqwNE4ErJPk0LgiUc4gRliTKWdEgpN+djda/vsajrz7Nnq/3I3sJSdNGttxJBaTpotuvPFG/POf/4RSqYTJZIJGo0FVVRWeeOKJpKhepBus1iQnmiRzFSisVitcLhc9Xp9KgSJR8TWbWnGgtw5CvhAXV6+N9k9IWlypQCriIteYEGOv1wutVgu9Xj/hxoelsTq+8I8ZJPX396O3txcfffTRpK/dsmUL9Ho9dDodM2OXUaWBrWMYLocHg90jUOdNj8a2RIObhSRSczabDSaTiUrNKZVKSpqTbbLDIrGabiQ5FJEqZxDCHM011s0qR+UV30XDP1/A5w/dh4s2v0N/5vf7mRyzmYQJyy3+/Oc/48MPP8TmzZuxZs0aFBQUYOfOnfjb3/6Gn/70p/jXv/5FC9xnCljNJMfbuEfsgMkXV4GioqJiSgWKqRAL6SNZ5DPKToFBnhxrXVZJMpB4QkoevIQUk2us1+tRXV09pTTb8YV2cqRiLlEHyq4uunkFxjbvlZWVk/6uXC7H7t27aYNZZmYmioqKIBaL03ZtM6vVOPTeVwoX9Y6kk2QWyR8w/t4KJVREa5yUZ4yOjtIGMaPRmJQGMdbGiXWSHG1JQzjlDOIEyFXOIPNgKnv0E3/6czT938s4uu1DdH7yMfJPWRVzbKkCj8dj8npGiwlJ8ksvvYT169djzZo1cLvd8Pl86OnpwQMPPICCggL09PRQaZyZMBAA2zXJgUAg4rHmKlBYrVYMDg5SO+CSkhLodLqoFCgijS9SBAIBvFr3FgDgW3MvTFgcE30Wa0gE4eJKs1ksFtjtdkgkEuh0OhQXF8ckzcbaWLEWTzLgdrvR3d2NgYEBDA0N0RpDpVKJgoIC5OXl0et45pln4sMPP4Lf76O/LxAIcNppp+HKK6/E6OgoOjo6YDKZ0NbWhsOHD0MoFEKr1SIvLw+ZmZkJ0bDmYrJrlMGpS+5vtGPWWdkJ/ezpgEjmsFgsRnZ2NrKzs2lpFGkQa2trC2oQMxqNcUvNsfjMZjEmAr/fH/fzUiKRIDc3l5qdca9xR0cHfD4f3RgZDAaoVKqg8VAXFmPO1dei5tm/4POH7kfeO1vpc4TVcZspmDDfbzabkZWVBWAsk0nc9oCxCc1ixjVesKxuAUy8kJAMFDledzgcEIlE0Ol0tOY0UU0EE8UXDaHh8Xh447sv4rW6t7B29hnMxJUqxLqoEWk20lQJADqdDpmZmWEbKlMRU7LAWjyJAjnV6e7uhsPhoOVdUqkU2dnZKCgogFKpDJsdev7553HZN7+Dz3Ztp9877bTT8Pzzz4PH40Emk6GiogIVFRXw+XywWCzo6uqiR/vAmC2z0WhEYWFh0pvHMqs19P8H6lPTvMfavImWxHCl5goLC4MaxHp6etDQ0ACpVEprmWOpdWWRWLEYE0EyYiPKGQUFBQgEAnA6nZQ0t7S00J4Rrgb3CT+5E/UvvYCez3Zi4OB+ZC5YdLzcIgWYkCQXFBSgq6uLqlrw+Xx0dHRg+/btKCsrQ0ZGBgD2FqV4wHJNMnAsK0EUKLglFDweL2GEKZb4oiWjBZpc3LLi+iRFNAZWSTIQWYaJ1LURYuxyuah7YWFhYVqk2Y4jOvj9foyMjKCrqwtmsxkjIyMAxtQQ1Go1cnJykJmZGVF9ok6nwx+fehEnnfNbqGVD2PH6LRM26wkEAmRkZNB12uPxoLOzE/39/ejq6sLRo0dprWx2djby8/NjzpZNtM4EZZIbki8Dx+q9Hg9CG8S4UnOk1lWj0VAypdPpplwTWBynrxtJ5oLH441TzrDb7bBYLOjt7UVDQwMkEgn0ej0W/PJ+FJ60FJkLFtHYWH0GsDjPYsG4lZlMhtNPPx0tLS3o6+tDTk4OsrKy8LOf/QxDQ0P47W9/i7KyspQHm2yIxWImSTK5Cbq7u2kZhc/no41YJSUlaZUUYpWMTre4uIuj1WqFw+GAQqGATqfD7NmzkyrNxuJYsRRPNPeW1+tFT08P+vv74XQ64fP5wOPxIJfLUVxcjIKCAojF4tgfbiIDxKr8qNQsRCIRSkpKUFJSQkt1jh49CovFgqamJjQ1NVEJq/z8fBgMhrjXE4lKBE2BHPajwxhoSI3CBWtI9N8cTmqOZCAPHjwIr9cbZJ090XOBtevA0r0eilTPW64GN1HOIE2AQyechFqLDW07dsBgMDBlNDZTMSFJvuGGG1BbW0ulab773e/CarXihhtuoGUYMw0sZZJJMwfJFANAX19fzAoUyUQ0BOvDw5/gqc+fx7pF38IFlWczE1cqwT0Z4GpSW61WCIVCWiYzb968lEpDHUdsIEfinZ2dsNlstGRLLBbDaDQiPz8/YWYSiXhY83g8qNVqzJkzB8BYD0NfXx96enpgMpnQ29tLSX1mZiYKCwshlUpj+uyMKjXsR4cxavdgsGcU6lxZ3PFPBBbv9WRDKpUiLy8PeXl5Qcf2JpMJhw4dglAoDLLOlkqlTG5WWM+IpnO8BAIBjEYjlef0eDxjpVT1dbD5/HB7vdi5c2fQaUKiew++zpgwLWU0GrF69Wr675tvvhkAYLPZ8O6772LhwoXIzp5ZjRjpzCSHU6BQKpXQ6/UoLy9HTU0Ns6Qpmt3s/x18HVtaPkaxtiAlJJk1uFwuOBwO2O12fPrpp0HSbGVlZUlzbZoKrG0oWLx23PEZHR1FV1cXTCYThoeHgwwHiouLkZOTE7Mu6mTQqSVYd9k8KOSJe2+BQECbigKBAP3b+vv7ceTIEbS1tUEgEECj0SAvLw/Z2dkRP4QzqzVoeb8XwJjzXjJJMsDevEklwQp3bE8ykB0dHaipqYFSqaT16jKZjBnTIJbWnlCkmySHQiQS4fBfn8S+Pz2OxQ89Bvm8RSgsLITZbEZtbS1cLldUyhnHMTkiukOGh4fR29uLbdu2YcuWLdi0aRM2b96Mc889d0Y5vqSycS8aBQpuLTKLiJRgDXtG8FbTFgDJMxDhggXi5/V6YbPZaG3x0NAQJBIJ+Hw+Kisrjy9gkyDd144Ln88Hl8uF/fv3w+FwUBUcmUyGvLw85OfnQ6FQJP1a5mSp8NRDydEVB0AbAGfNmoVZs2YhEAjAarWis7MTVqsVNTU1qKmpgVQqhcFgmFINKDPEeW/WmTMrscIy+Hx+WKm5/fv3o62tDY2NjdBqtbQ0Q6PRpNUFkNV1kDWSDABCmQx+jwcNTz6BOU8/F7TJHRkZGaecodfraSNgqHJGsjBjJeAIvF4vXC4XvvjiC2zatAlvv/02nE4nzjnnHLz//vtYsWIFADA7sWNBMiXguAoUVqsVdrs9YgUKMtlYIg1cRBrbO01b4XQPoUibj5PyFzETVyIRCATgcDhoCQWRZiO14zqdDn19fbBYLNDpdCmNbTKwPL/SAb/fj6GhIXR3d8NsNmN0dBTA2DgplUoUFhZG3HA3nUHkx/T6MS1zj8eD9vZ29Pb2oqurCwCwf/9+qFQqZGVlobCwMKgBMIOjcNFfn9zmPRbnL0sEi0jN8fl8nHjiieDxeDCZTDCbzThy5AgCgUBQaYZcLk9Z7CxeOwIWCfyCGzbgwNNPYqj9CMxbtwDLlgMALZOaSjmDKKOk+jpPR0yok/zaa6/hnnvuQXd3N1auXIkHH3wQ3/zmN2f0Q0EsFsPhSIxU0WQKFBkZGZg9e3ZUk5NlEhNpbK9ybKhnyuLLtfUOlWbLyspCVVUVZLLxR8ysXktWkI5F2+PxBDXcEXklhUKBkpISKBQKOBwOavrQ3d1NtWtT1Tjr8/nhHPaAxwPUytSUXnGP7c1mM4aGhqgyh0KhoOorhw4dwqFDh+jmPz8/H4ZyTia5IfkycKw97Fm8z8kzXi6Xo7CwEIWFhXRzT2rSidQcmd/x2CpHCtauHQGLMmtilQon3HI7Pr37Z+j8x9/h++nPIAhzfSJVziAbI71en1S52OmICUny1q1bcejQITz++ONYt24dFArFjCbIQPyZZEKWyBepNyUGD/Ecc/B4PPj9/phjSyYiIcmWYSu2tI7pu6ai1AJI3sZiImk2vV6PoqKiKa8zixseFmNKhcOdzWZDV1cX7HY7LbWSSCTIzMxEfn7+uHKYnJwcVFRUjDN8IM015GGTSLMeLlqOWLH43Geh10px9PMfJeUzgGNmByaTiTaUGgwGlJaWQq/XB/19pDfF5/NhYGAA3d3dsFgs6O/vBwBIMvhwDfjRV2+fUeV5kYI1ghXuvuLxeNBoNNBoNFRqzmq1wmQyjbNVJtbZibyOLBJRApZOA7iYe+31+PKJ38HV14v6fzyPed+fWlJ1MuWM9vZ2HDx4EAqFIog0x7KWEfOzmYAJ1S2uvfZaDA0N4YEHHsCjjz6K0047Deeddx4WLVqEnJwcaLXaVMeadERrS+12u4MyiC6XC2q1GjqdDrm5uQmtN2WRxBBEEtvmhv/B6/diXlYVKjPKmYkrEhAyRa714OAgFAoF9Hp9TLbeLC64Xwf4/X643W50dXVhYGAAIyMjCAQCEAgEUKlUKCkpQW5ubkTJAO6RJpkfhDDX1tYGEYpk2AonGqSZixD/kZERWq86a9asiDLlAoEgyDnO7Xajs7MTTUX1cA244LJ78L9XtsBYrEVOTg7y8vIS2oXPIplhbc2O1P5ZKBQG6WwTW2WTyYSDBw/C4/EEuQAm4iSFtWtHwOK8AgCRXI6y79+A+kcfxJe/+zWqvnMVhGFOLSfDRMoZZrMZzc3N9NTo66ycMSFJXrZsGZYtWwafz4d33nkHL7zwAm655RZotVosWrQIt912G5YuXcrsBIoFU6lbhGvCUiqV0Ol0qKiogEaj+Vrp2BJEkuXOUWZhWcEJOL/irBRFNbVT4UTgSrNZLBbYbDYIhULo9XoUFBRAp9PFrTLC2rVkbX4lak3xer0YGBhAb28vHA4H1SyWyWTIz89HQUEBZDJZXJtZ4o5FlGi42rUdHR3g8XhBtZ6JUKiJ91KROU6Ij81mo5J15eXl0Ov1ca1lPB4PEokEZWVlKF/uhPnLQwAAkV2J4eFh1NfXo76+nh71FhYWprVxLJlg8W+KNiaurXK4OleBQEDnt9FojPrInmUewXJs+Rdditbnn4HbYcfAgX3IWbYirvcTiUTIysqiMr+jo6OUNH9dlTMmXQX9fj8EAgEuuOACXHDB2BH5G2+8gUcffRQ1NTUzjiQLhcIgkuzz+YKasAYHByGVSmkTllarTXqdFgHLouGREKxzK87AuRVnpPRviIYku1yuIMtnYtZiMBgwa9ashEqzsUZICViLKZZ4/H4/nE4nurq6YLVaacMdt0nWYDAkNRvC1a4lGsomkwlHjx5FXV0dVCpVkKJANA+ZeKYgcWsjzVput5v2SFRWViatgSej6lhdstJlwNJTy+Hz+dDd3Y3e3l709fWhu7ubNkVmZWVRw5Xp/GyJNGubSiQipnB1ruQk5ejRo6itrYVCoQiyzp5qw8Uyj2A5Nr5IhOr7H8HiM86EzJiR8PeXSqVBmyNShmWxWNDe3g6/358W5YxUYtKZSxbvwcFBjI6OQiKR4MILL8SFF1447jUzAQKBAL29vbjrrrvw6aef4sorr0RlZSX0ev2UChTJxnSvSea+NlWY7LPIqQAhxsPDw1Cr1dDr9QkvlYkmrnSBxZgihdvtRnd3NwYGBjA0NETrXhUKBZVnS9VmNhRcW+FZs2bB7XbTDNyBAwcQCASCjq0Tub6QjB8hxTabDTKZDEajEVVVVSk7Os2s4tpTjzXvCQQCFBQU0A78kZERdHR00MxkS0tLkLFORkbGlLGyTGZYQTI2wqEnKeTI3mQyobGxkZbuTJZ9ZPnasahuQeD3+6GZMy8pBDkUpIlZoVDQZs/BwUFKmsmJApc0z4QmwElJstfrxbvvvotXX30VdrsdBoMBq1atwjnnnENrlaYzAoEA6uvrsXXrVmzduhVbtmyB2+2GRCLB2rVrceaZZ6KoqIiJm5fV7CMwdWz/qXkdZ5SthEGuT2FUwZlkIsFHSLHD4aCnAqWlpUG61KkAi9eSpZgmu+f8fj8sFgu1aSenP1KplGYhVSoVkw82sViMnJwc5OTk0IeMyWRCT08PGhsbIZfLaQZusuaoia4V0cIlxJhopGZlZWHOnDlhlVaSDWPFMZJsahyvcEGUFiorKwEcq48mDoYDAwMAxjSpMzIyUFhYmDbTnWgwUzPJUyH0yJ7b5Nre3j5uYyiXy5kmyaw3FXLXiK5Pt8MwZx6k2uTLixLnTrVajZKSEqqcYTab0dPTg6GhoRnRuzYpSX7ooYfw0EMPYfXq1Whvb8fw8DC++OILbN26FX/605+gUqlSFWfCsXHjRjzwwAOw2+1YuXIlzjjjDFRXV2PXrl1488030x3eOExXklzX14Tr/ns7FCI5Wn7yGeSi1DykiXMYANTW1sJuH9No1ev1yM7ORnV1dVoIA8DmtWT5IUAyjd3d3TCZTBgdHaUNd2q1mjaLTTf1He5DprS0NCgDV1dXR5ujCGkOVw7Ble4ym82w2+1QKpUwGo2YN29ewuyw44FUI4I6TwZH1wj6GxxTEiKBQBDUNEaaLfv6+tDZ2YmOjg7w+Xx67fPy8iASiZgmWqwhleMUqtvrcDhgNpvR19eHxsZGSCQSyOVyeDweuN3utJ36TASW5xWXwH98+49R8+xfsOT2n2HZL+9LeSyhyhmsPeNixYQScMRZ79lnn8VVV12FDRs2QKFQ4Ne//jVWr16Np59+Gj/96U/h8/liOrLbvn07fvOb32DPnj3o6enB5s2b8Y1vfCMojnvvvRd/+9vfYLPZcPLJJ2Pjxo0oLz+mjGCxWHDzzTfjzTffBJ/Px6WXXoonnngCSqVyys9funQp/v3vf2PZsmW0kebZZ5/Fjh07ov5bUgHWa5InKgV55Stt5NNKT046QeaqjVgsFqpUQpQLWKmXYiGGcGBpfvl8PgDAvn37MDg4SBvuiLZrfn4+pFJp2glgIsHNwJHGOpPJhP7+fjQ1NUEqlSLAV+L804shlQhw8OBBWCwWagKRl5eH+fPnM3nEmVGphqNrBKNWD4b6XFBmRx6jWCxGSUkJSkpKaPb96NGjsFgsaGxsDCJaXq+XGVLzdc0kTwau1FxpaSk9Nejo6IDL5cKHH37InJoCK/MpHEiyAADyV52Gmmf/ggNP/xkLblifkhKMrwMmTL3U19dDr9fjiiuuADA2udvb28Hj8bBo0SLs27cPQOwP1qGhISxYsADXXnstLrnkknE/f+yxx/DHP/4RL7zwAkpKSnD33XdjzZo1qK+vpw+BK6+8Ej09PdiyZQs8Hg+uueYaXH/99Xj55Zen/PzFixeP+95U6hbpBIvZR4KJYvMH/Hi17piBSKJBrL25jZVEbaSyshIqlQqffPJJWmtSw4HFa5nuhwBpcOvq6oLNZoPL5QIA2Gw2SKVSFBUV0WaurwNIExtx97NYLLQZ8QeXjB2l2u12mklNlZlJrMioUqN1ax8AoL/BHhVJ5oJk3+fMmQNg7DnS1tZG9ZwB4P3334dCoUBmZiYKCgoglUrTMjas3eMAezGRUwOPxwOv14uFCxfS0oyamhp4PB7odDp6mpKORAfrJJnEVnr+RchYsAgDB/Zh7xO/x8m/eiTN0c0MTEiSSXaQHGFKJBJas2m32+lRdayTZ+3atVi7dm3YnwUCAfzhD3/AXXfdhYsuuggA8OKLLyIrKwv//e9/cfnll6OhoQHvvvsuvvjiCyxZsgQA8Kc//Qnnnnsufvvb3yI3NzfqmFgnydOtce/zo3tx1N4NlViBNeWnxf05pBGJZIq51t4FBQXjXKHIeLH2YACOxwQgSLN4aGiI1tcRYpiTk0Mbz3p7e9HW1ka1e41G47SoS40VIyMjlCyYzWYqsVVRUQG9Xg+v10vl23bv3g2xWBy3AUAywVW4GGgcROlpWTG9D1dJwWQyYWhoCBqNBkVFRTAYDBAKhejs7ITJZEJbWxsOHz4MoVAIjUaD3NxcZGdnpzwzyeIcZS0mQvZCpea4MoXcxjBCmlNRMjddSDKPx8OyX96HN791EQ4+sxEL1/8IiuycNEc4/TEhSSZHfh0dHSgsLIRQKER3dzdee+01HDhwAPfeey+A5KhbtLW1obe3F2eeeSb9nkajwdKlS7Fr1y5cfvnl2LVrF7RaLSXIAHDmmWeCz+fj888/x8UXXxz154pEIqZJMovECpg4tv/UvgEAuLBqDWSi2DJHRKeRlFH4/X5KlKay9mZ1YWMxrlTERCTIenp6YLfbqbslkRkqKCiAQqEIWlOIji7X5c5kMqG1tZUSQ2KbO91qkrnw+Xyw2Wy0tnh4eBgajQYGgyGoVCgQCMDnC0AgEFFLYe7vtra2oqamBhqNJq3Zt1AEkeQo7amJ7rTJZILFYgGfz6fjEs7dcPbs2Zg9ezYCgUBQA2BNTQ1qamoglUphNBpRWFiY1LFJd2lDOLAYExCeiHJPU4qKimhjmMlkQmdnJ+rq6iCXy5O+BrBMkkMdLAvPPBvZJy1D7+7P8OXvH8Oqxx5PY3QzAxOaicydOxcFBQXYsWMHrrzyShQWFuKxxx5Dc3MzfvzjH+Oiiy6Cz+dLCknu7e0FANodS5CVlUV/1tvbi8zMzOA/5ivDB/KaaCESiaJy3EslphtJdvvc2Fz/PwDAZVGUWhA7VEKKR0ZGoFKpoNfrMW/ePKjV6ojnHFfdgiWwei0THZPf78fIyAg6OzvptQTG7lO1Wo3c3FxkZGRE/GDjNgARO1WTyYRDhw5hZGSEHsuSjnlWH2wEw8PDlBRbLBaIRCIYjUaUlZVNmA1uO2rDvLP+BpVCjN69twBAkJEDcCwLTbKp3J8bDIa0lKxkVBxr8h4Io3DBBZcMmc1maolsNBqj6i3gmrgAY25ipAGwu7sbnZ2d4PP5UKlUVBWFtQx8osEySZ4K3MYwrtSc2WymUnNkY2k0GhMm48kySQ6NjcfjYdnd9+O/F6xB3fPPYNGGW6AuLEpbfKyOWzSY8Ok0Z84cPPfcc3TyXnjhhaisrMQpp5xCF9l0F9QnGhKJhKnGDy5Yb9wLje1gbz0GXU5kKTOwqnj5hL9LalFJttjhcEAmk9EOWZ1OF7fzF4vjxlpMiXS46+npQX9/PwYHB2n3tUKhQElJCa0Pj/fhFWqnSggnOZYl7nEkw8TCWsW1fiYqHTqdDgaDAeXl5QkrHyFugvn5+UHlCe3t7aitraVEgmjWpmKtk2rFUOVIMdgzioEwChdc22Oz2Qwejwej0UjLKBJB7EUiEYqLi1FcXExLt44ePUoteJubmyEWi6HT6ZCfnw+j0RjX2LBISFlbdwhi0SIOlZrjbg47Ojrg9/uDNoex3l8s6ySH4yr5p6xC/qrT4Gg/gqGe7rSS5JmACdmH3++nzTPDw8NQKBRYvHgxzGYzXC4X1Z4dHR2FSqVCYWFhwoLKzs4GAPT19SEn51hNTV9fHxYuXEhf09/fH/R75DiX/H60YD2TPJ1qkpfkLUTTLZ+gxXIEAv4xgkJce0im2Gq10gxBTk5OwqXZWCTJLD00uYjV4c5ut9OGO3L/iMViZGRkID8/PyUyZET1gpQfEDLa1NQEl8tFyWgqs8xchQqz2Qyr1UqP+isqKuLaAEZ6rUKNHrhktKOjAwDouCTKMnsiZFSpMdgzihGLG86+UfikLrqxGRwcpOS9qKgIarU6qdeIuMZVV1cDGNvA9Pf3o6enh8qTETWVjIwMFBUVpa0BMJFgkbgDiSHv3M0hV4OcqMNw6/ajmess6yRPFNtZT/8dUoMRghl+MpIKTKpucfPNN8NgMMDtdsPn88Hn81HdUnJxbDYbVq5cid///vcJC6qkpATZ2dnYunUrJcUOhwOff/45brrpJgDA8uXLYbPZsGfPHpxwwgkAgA8//BB+vx9Lly6N6XNZb9xjjewRTBSbUWGAUWGgBgeEGHs8Hmg0GmrvnezOfNbGjcVrGen4+/1+2nBnMpkwPDxMZYiUSiVKSkqQm5ub1vpgrs4u10qVZJklEkmQZW4is8zcI2CTyUS1jjMyMlBVVQW5XB7X+8d7n4Q2RhHxf1LjqVKpKIlI9OZGP1uJwx+OJTa2/HsH9AvFlBSnqwyEQCAQBJm8uN1uHD16FAMDA2hvb8eRI0cgEAig0WiQk5OD3NzciBwAAfYIKWvxAIkvaQjVICflWWazGUeOHMHBgwfpXDcajZNKzbF4skwwUZb7eMNe4jDhk0wikdAaP2CsjjD0SyQSwev1UqekaOB0OtHS0kL/3dbWhv3790Ov16OwsBC33HILHnzwQZSXl1MJuNzcXKqlXFVVhXPOOQfXXXcdnn76aXg8HmzYsAGXX355TMoWwPHGvVgRGtuoexTDzmGqQuF0OqFUKqHX61FVVQWNRpOy429Wx206xUSUFHp6euBwOGjDHTdzI5fLmTySDLVSJVlmYpnrdrvH1TJHA641q8lkgt1up81Ec+bMgVarZaLUIxx4PB61zC4rKwuyzK6pqaFufbEqCXBJuMlkgpVvoj8zBHJw6qq5TJIPorIwa9YszJo1C4FAAFarFV1dXbBYLKirq0NdXR1tKi0sLAxbtsLqPc7imCc7rtDyLDLXTSYTamtr6TpANojckwxWxwyYOsvtc7vR8NILyFl2MgxV1SmLi8W5HysmJMnl5eXYtGlT0j74yy+/xGmnHZMFu+222wAA69atw/PPP4877rgDQ0NDuP7662Gz2XDKKafg3XffDRLKf+mll7BhwwacccYZ1Ezkj3/8Y8wxsZxJZrkmGRjLoLW3t8NiseD2nb/CiM+F20+4ASvKThonzZZKsEiSWY2JwO/3Y2hoiJIC4lwoEomg0WiQl5dH5bamG8JlmU0mEwYGBtDc3AyZTDZldolLJon1s8FgQE5ODubOnZsaWaokvGc4y2yyOSKW2WRsJiL/XPJhNpup0UlBQQEyLihE61OfAgAGj3iYJR6h4PF4tGQFGFvrenp60NfXR5sAiXRhVlYW8vPzg47yWfo7WVt3uEjlOIXOdSI1Zzabcfjw4aCmT5ZJ8lT10p/84qeoefYvKL3gGzj3xX+nMLKZg0mfcuFuqHDf4/F4UU+i1atXT3rD8ng8PPDAA3jggQcmfI1er4/IOCRSsJ5JZqkmeWRkhJZPEKIgFovBVwqxz1oPX8CHBZXzkW2IrT48UWBxcWMxJp/PB5fLhS+//BJOp5NKC8nlcpSWls5IIw9ulrmoqIj2NJhMJjQ0NMDtdkOv19P6RaLZ7HA46FHt/PnzE9ZFH1HMKfmU4OPqkpKSoDKS+vr6oMybRCKhJMNut0OlUsFoNGLhwoVBajQjsmP9HqYpFC5Yhkh0TH6PbLSOHj1KlVYOHToEkUgEtXpM9s7n8zGzoWSV8KUzromk5sxmM7q6ugAAu3fvRkZGBnM65FON27wf3Iiav/8Vh9/8L/r370XmwvEmascxOSa9c8MNPos3WKLAciY53dlHIs1GSihGR0ehVquh1+shl8thtVoxf/58/PWLf8AX8GFx7nyUGYrTFi9BusdtIqQ7Jr/fD6vViu7ubthsNjrvBwcHIZfLkZ+fn/ba4lRDKBQiMzMTmZmZGB0dRXd3N/r6+tDc3EzrrjUaDebNm4fMzMy0lJfIZCKcd/osSMSpLeHgKgm4XC709PSgt7cXhw4domNDnPAyMzPDzhuZTgxlthTO3lH0h1G4mI4gGy1ScuhyuXDkyBH09fXBbDYDAD744API5XKq1pFueUIWx5ylucCVmistLcX777+P8vJy2Gw2NDc3Y3h4mEoSJqN2PxpMVW6hr6xCxTcvR9N//oXPH7ofF7zyespiY+V6xouvzxMwAohEIvh8Pvj9fubqCFNN9rjSbBaLBYODg5DJZNDr9Zg1a1ZQZ35fXx+1hH2llthQn5+yWCcDiyQ5HTERtRrScDcyMkLJjUqlQk5ODgwGA9WnPXz4MFpbW+nxutFonHGZZC5CndycTic0Gg0yMzNprTLRZW5ubkZ9fX1QLXMqSiwAIMuowH82XpKSzyLgKgWQTLpSqaQmL0qlko7d4cOH6diQucOV3sqsUsPZO4oRsxvDAy4oMmMzGWIF3JIdYo0tk8mQlZWFjIwMyGQydHd3o7+/H0ePHkVHR0fQPZebm5vSrCRLZJQLluMCgIyMDNrrxHXDPHr0KK3dDzffUxHfVAT9xDvvQvNr/0H7B++h57OdyFm2IiWxATODKMdMklmd1PGA1JF5PB7mSHKya5LJYk9Isc1mo/JRubm50Ov1QfXgXBDS12btwO7OfeDz+Lik+rykxRotWCTJqYDX60V/fz96e3sxODgIn88HHo8HmUyGgoIC5OfnQyaTBS2yMpkM2dnZCAQCcDgcGBgYQEdHB+rq6qiLm9FoZMLFLV6MjIwEmXkQ042SkpKwdfQky0w0dk0mE/r6+tDU1EQzhaRel8Umxmjg8XiCaov9fj/0ej3y8vIwf/78cWsBqfMGMM4ZUSQSHXNFm63E4Y/GFC76GxwomYYkmZzCDAwMUL3ryRRMysrKUFZWRhsZiblOQ0MDGhoaIJFIoNfrUVBQAJ1O97VS+iFglU+EUygJJzVnNptpXwN3vidbVjGScdOWlqHqu+tQ/8Lf8dnD9+PiN95LWjwzERGT5EAgAK/XC4FAAD6fH3RhWJ3g0YLs6F0u14SEMF1IRvaRSLMReTauNFtpaWnE0mwktle/yiKfWrwM2arMKX4rNWAxkwwk52Hl9/sxODiIrq4uWK1WqnMuEokowTEYDBEROB6PB41GA41Gg1mzZsHlOqZpS+SwjMb/b++8o5u6si6+Zbl3W8W90WzTCb2EUEO3wWRCIJ2UCWmTQiblSyGTZFLIkA6pE9KAhAQwJUDoofdebMCAu1XcqyzpfX947suTLHeVJ/n81mJNRpblq6ene88995y95VAoFE5jCS2UgWLWz8HBwZDJZOjatWub7veAgAAEBASY1OtqNJpGqhByuVx0c4klLKl0+Pn5QS6Xo0+fPm0K/M2dEVmW+erVqyiRlvDPyzmlQvxohVOsHbW1tfz9X1xcDHd3d8jlcvTo0QMymaxVSRWhmgjQcD+ykh6m0czKN5RKJeLi4uDp6Wn16yPG6y3WGIL1ATU1NvPafaFFvLnUnC0kJ1t73QY/+wIurfwReXv3IPfPXYgePbbF3yEaaHZlY0FUZmYmTpw4Aa1WC3d3d0RGRiI5ORkxMTGIi4sT5c3dHliQzCSuxIREIoHBYOjQa7AvMAuKKysrERAQgJCQkA5Js7Gmwl/OrgcA3N4npUPjtCZiDJKtOSadTof8/Hyo1WpUVVXxDXf+/v6IiYlBVFSUVcokvLy8EBUVhaioKD6T1pQltJ+fnxXeWccx10guKSnhDQVYyZA1jrqF9brCLDNThWDBpjXqF3Pyy9Hn1i/h7enO21K3F2Fwr9FoTFQ6+vTpY5XgXmiJ3aNHDyh1+bi69AAA4NK+azD20/DXxtFayUJY1pcpn1RVVfEnKW3ZUDWHVCpFTEwMYmJiwHEcampq+AbAa9euISsrC+7u7ggODkZUVBSUSmWHAyyxBqNiHhfQ+o2FuUW8UAnn/PnzjYyNOmqaw+b7lgiIiUXv+x5EyeUMeIfI2v332oIYP8/2YDFI5jgO2dnZ+Oqrr/Drr7/ixo0bCAkJQVBQEPR6PWpra+Hm5obBgwdj9OjRmDhxIpKTk+09dqvDJmgxuu61J7Bi2SGWLS4rK4OnpydCQ0MRFxeHkJAQqyxKEokERs6I525+FGvO/47pibd2+DWthViD5PbCGigLCgpQVlbGN9x5e3sjPDwcMTEx8Pf3t+lxv5ubG78QJCYmmtRkXr58Gd7e3lAoFLyMmj1LD5hCBVuYmPUzy/rZul6wpSwzK1tggWF7AtH6eiOkbm1XuhEG8EJN5/Zki9tLVF85/9+e5QHo16+fiWV2YGCgSQBhz3unvr6evzas6U4mkyE+Pt7mATxz90tMTERiYiKv582cLDWaBo1pHx8fyOVyxMbGtitQF3MwKtZxAe2fs82l5timXavV4tq1a7y8IJsP2qPT3tqxjXzzXXLgawcWg+T169djwYIFGDx4MN555x2MHj2a14hkXLp0CRs3bsSqVatw5MgR/Pjjj3YZsC1hk6AYFS5aG+zV1NSYuNtxHIeQkBAolUokJSXBx8fHJsd3Ekhwe59U3N4n1aqv3VHEGCQDrS+3MBqNqKmpQV5eHrRaLWpqagA0KDEEBAQgMjKySTUBeyG0hBbKqJ0/fx56vd6mpQcs8GPZ4tLSUl7rODEx0erHm23FPMvMGuDy8vJw8eJFPsssl8vbJCXX2vuHGcGw68M+D3tqOgvxCfWEf5g3Kotqob5UzqsIsJIeNtZTp07xGsvsn63uHeGmgX0e/fv3t2gQYi+Eet5Aw5qUm5sLlUqFvLw85OTkwM3NDQEBAQgPD0d0dHSrTkXEOBcCrhskCzE3NmLN8RqNBvn5+bhw4QI/d7F/LX2mbbHMpgC5fVhcWT08PLB792706NGDf4yVILBuyqSkJCQlJWHhwoXYsGGDfUZrYyQSCdzd3UUZJDfVuFdfX4+SkhI+KBZKs8XExCAgIMDm2RixaTgLEePE21LgrtfrUVhYiKKiIlRWVvINd76+voiPj+c1i8XYHCaUUWNBiFqtRn5+Pi5dugR/f3+ToLA9n48wO6vVannr57CwMPTs2bPD1s+2wtwqV9gcd/r0aXAcZ7KhsNTw09LlYsYILPArLS01cQC0d2bfEorkQFQW1aJao0OVug5+iob3aW6ZzQKIvLw8XLhwgb93OlK2wjK0arUaWq0WOp3O6iUmtsDDwwMJCQlISEjgN1s5OTkoLi5GRkYGMjIy+FPC6OhoyGQyi98tMQejjr4vLWHL6+Xm5sbXqHfr1s3kFOzKlSs4deoUgoKCTAx8zK9Re65btVqF40veQ9igIegx+3ZrviWXxGKQPHXq1MZPtJCpYruYGTNmWH9kDkKshiIsEGVC5yxbXF5eDl9fX4SGhqJ79+4IDg62e1bxeOEZbLi2BbG9EhAdJC7PeDFmks0nXZZRyM3NRWlpKV/uw+pno6OjRRHctBVh6UGXLl1M3NhOnjwJiUTCB4TNZU1YwMR+t7y8HH5+fqIK/NqDh4cHwsPDTdREhEEhM+VoqfRAmL1ngR/bNPTq1cvu2eKWUCQH4truBoUL9cUy+CkaN/kKG0eZZTYLIITNkSyAaO49mku0eXl5QS6XIzk5uUlXRTHDNlu9evUC0BD4FxYWorCwEBqNBoWFhfymWqlUIjY2Ft7e3vy8I9YgWYy0tubXGggTDEBDsyib806dOmVyz8tkMvj7+7criL/40/c4/fmnCIyLR9cZMyG1URmRGO+z9tBsNMWO5+rr66HX66HT6fhArbKyEkOHDgUg3t1pW5FIJPDw8BBVTTLLDJWVlaG8vBx79+6FVCpFSEgIoqKi0Lt3b4dnP348+xvWZm2G+wEv/GfKIoeOxRwxBslAw+ealZUFjUaDqqoqPiMQEBCA+Ph4REREiKaJyVoI6/PYZo81KZ07d85EYs7T09Mk8GNZ1sjISIsSZM6OpaBQuECy0oN6Y0MwyHEcrl+/Dq1Wy2vzyuVy9OzZs0nLaLGgSA7k/1t9qQLxo1tWwvH09DTZUJhL8LH3L5PJEBQUZKLrXF1dzdelJyYmOtzMw9pIpVK+qZbjONTW1iI3NxdqtRrXr1/HtWvXeCOcwMBA0c6HYtzoOjK28fb2NvlchaVBTGpOr9dDrVbD09Oz1XNi34cW4PSyT1B+4zou/LAcfR542MbvxLlpNkgeMGCASc0LKzyvqKhAXFwcrl69CsB1dgyAODLJdXV1JnXFer0e3t7ecHd3R//+/e0qVt4SlboqbLm6CwBwh8jqkRliWBRYbWhBQQHKyxssea9fv85nE+Pi4uDn5yfKhcIWCF2tunfvjurqauTm5iIvLw9XrlwB8Jd0XZ8+fZw2W9xezBt+SkpKkJubi2vXrgEAjByH3NxcKBQKJCUliUZRpDUokgL4/1ZdbLs9tXlzpF6vR1FREfLz85Gbm8uvWQEBAYiOjkZERIRobIRtDdNB7969O7p37w6O4/jGSHYCCQC7d++GTCZDbGxshxUWrIEY5mhLiCUBaH7PM4Who0ePoqCgAJcvX+YNfljDdFMnyh5+fhi08EX8+c+ncPT9t5E09y54iLRETQw0GyS/8847cHNzg1Qqhbu7OziOw+XLl7Fy5Urcfffd9hqjXfH09LR7JlkozVZcXIyqqioEBAQgNDQUvXr1QlBQEAoKCqDRaODv72/XsbXEpkvbUaOvRYSPEoOi+jt6OI1wVCbZaDSiurqab7irra0F0HCkFhQUhJCQEL6evLCwENXV1bwihDXkpZwB4XFicXExJBIJryYglUpNJLhCQkL46yO28gFbYMnJzdvbG1GRYRgxMBxSNwk/LxQUFJiYF4j9BEKR9FcmWXOp7UEyAJPyFFaCExgYiPj4ePj7+/MNzJcvX8aNGzf4a+Msmt4dRSjTqFarUVdXh9DQUISEhPDlOQUFBcjLy+MlI8PCwhAbG+uQDYVYglFzxDoupjAkkUhw0003wd3dnT95u3DhAmpraxEcHGxyuiJ8H73unY9Tn32I8hvXcebLpRj41EIHvhtx0+xsceedd1p8fPjw4Xjrrbfw5JNPin5Cbiv2aNyzJM3GXJcSEhIs6reKtTlu1dl1AIAxymGinEzsGSTX19ejoKAAKpUKlZWVfEbLz88PCQkJiI6Otngkxow61Go1srKy4OnpyRt1OGPNZFMw62dWQlFVVYXAwEDI5XLEx8c3ymixLCprRHNVdzsGaypjGwemqWqeLd62oh//O0I9X6GMmrCWWWzfS1+ZF/yUXqhS1UF1ofVBMmvYZE13RqMRMpkMMTExFm3T4+PjeQMZoaY3M5BxtQ2pTqczkbBzc3ODQqFo0vCEfbdycnKg1Wpx+fJlXL58GR4eHggJCeEbAO0x/4g1GBXruICGsbEyFWE5EvBXHb651By77319fTHkhVewfcEDOPHRf9D7/gfhFRTs2DckUtq1pY6MjMSOHTtQW1vrUkGyRCKBp6enTcxEqqur+fKJkpIG16mQkBCEhYW1SppNjLW1hRUq7L7WYAxwi2Kog0djGVteNxb05eXloaysjD+B8PLyglKpRHR0dKtkvYRGHcJF/eLFi3z3PQuabWlxagvMzTyYU19CQkKrJI4kEgn8/f3h7++P+Ph4i7rD9rKAtQVVVVUm14c1lbVWvk7o4iaUUdNoNMjOzuabI8Vm1qFMDsQ1lRrVmjoThQshTSl1tEXXmd1vcnmDPrO5Ti37eWslt8SEsE5VrVajvLycb/aMj49v0TqefbeYx4HBYOCVaIqLi6FSNTRX+vr6QqFQIC4uziYSouy9iDEYFeu4gObl6YSynGwjzcr9Ll68CG9vb4Qm90Zgtx4ov5KJk59+iGH/t8jqY3MFmg2S1Wo1amtrUV9fD51Ox9fKLl26FAMHDnSZDJcQazXusaN0li2uq6vjj9nbUwcmxiD51/MbYeSMGBzZH+HeCkcPxyLWvG5GoxE6nQ55eXlQq9WoqakBx3GQSqXw9/dHQkICIiMjO3ScK1zUExMT+UWQSaixRVChULS4CDoCYZDPdJ3ZsV+3bt06nLkz1x1mR+45OTk4f/686LOowuuj0WhMzE6s0VQmlFET6rCyLLNQUsqR10eeHIhre9QAAE1GOfz+pwdsfn1YNt1aSh1Cy2zhyQZrHmX3j0wmE/39o1ar+U20NRpapVKpSXOkTqdDTk4O1Go1srOzcePGDUilUgQGBvL3mLViALEGo2IdF9B6DWfhRrpr1668IZVGo4Fs7t2QHD6Iun6DkJmZCZlMZrX+D7Fet7bSpOOeRCJB7969oVar+Qvm5uYGvV4PqVSKXbt2OVWzSGtpb+OeUJqtuLgYFRUV8PPzQ2hoKHr06NFhabamdJIdSVltOXzcvTG75zRwNeIaG6OjX1TWPVxYWIjy8nLeGtzX1xfR0dGIiYmBj4+PTY78zZs1hMepN27cgLu7u4mEmiM2rSzbx7JzzPpZLpeje/fuNq0BNVeEYFlUtqi7ubmZXB9H1aIKjz6Li4v565OYmNhsg40lCtWVGDj1G0jd3JB9+Ilmn2uuw8rKeliWmdU1tiTBZwuEdcn5Z4vhFlfL16YLr48tzWDc3NwQGhrKG2WxGnnW6MZq5Nk/R51SCMuxiouL4eHhYXMJO4lEAi8vL3Tr1g3dunUDx3EoLS1Fbm4uSkpKcP78eZw/fx5eXl58A2BHzVfEGFSJOUhm5ZdtXXvc3d15o5rk5GST+/7MmTPQ6/Um1tmuVJLUHizOzuyCbNy4EXq9Hu7u7pBKpZBIJMjOzsa6detQX18v6huovbQ2SGbBAQuKS0tL4e7uzou5h4aGWnVSFWMm+f/GPIUnhz8IXZ0Op4+dEuX90NbrxuQN8/LyUFJSwjfcsTq9qKgohzX/eHp6mmQJWTYgMzOTb8xhQaEtm9ss6fKKQWLLPIvKsoRXr17F2bNn+Yy2QqGw6RhZIy4LSGtqavhFp3v37h1Sp+E4oLS8DlJp239fWNZjSYJPmIW35SmF0WiEd9Rfr312VwbcB0XwGytHqfcIJbeEWXh2SsFOcVgjlK1q4VnPilqthkajQUVFBQIDA6FQKNC1a1eHBC0SiYRXowEaTkqZNjNTFmHlG2FhYYiJiWnT+ifGtQOwr05yW7GWG6DwvtfX1aHmf/KTzNREKpWabKZdTX6zJZpd6QcPHtzosQEDBqBnz56YM2cO0tPTERMTY7PBOQJPT88mg2RWbsLqitmOKzQ0FN26dbPp5C7Wxr0AL3/UoQ6AeCe6loJknU6H/Px8qNVqVFVV8ROjn58foqKiEB0dLZpaTgbLAspkMvTo0QPV1dVQq9V8c5ufnx+vBtHRDI+w9lGr1fLWz2I2ZBBmCdn1YUHr1atX+dpfJpfU0fHX1NTwr8+yoSwotsWmqqP7ZXMJvtraWv7zvX79uknZT2hoaIezzEz3mTXd1df/9Qa8KgMtrjWOxDwLL9StFrojsuCho4GD0AmQ+RM015ToaDw8PBATE4OYmBheiSUnJwcajQZXrlzBlStX4O7uzjcAyuXyZr9jYl47xDguwLqW2cUZl7Dv//4JH4UCE5d9w+v1C5MN2dnZOHv2LC8111nUYtr17jw9PXH16lVUVlZaezwOR1iTXF1djerqaj4oZt34ISEhvDSbvXaZYsokGzkjMtRXkazsDuCvL6lYxifE0nUzGo0oLi5Gfn4+ysrK+E2Rl5cXnwWxh523tWAKGn5+fnxzGwvYmLMdC5hbW3bALJNZYMDcnsTq4tYSwkYWYUBy4cIF1NfX88FOawMeYSZfq9Wiurqaz1TbMhtqq/Xa29sb0dHRiI6ONlkYs7KycPbsWROjl9ZkMoWW5EyijdlKs6P50/INqNbooMkQ/zpirlvNHCALCgpw6dIl3gGyLTWdtbW1/PUpLi6Gl5cXFAqF07lIsvknKSkJQEPAr9VqkZeXh9LSUqjVDbXnrOkyNja20fdDrMGoWMcF/FVuYY3x1VdVInvHH4BEgpuefBay5J4AGpckCdeFS5cuNVKLYc6gEolEtNetrTS7Wp49exYlJSUwGAx8415ZWRn++9//8gL/roRer0dVVRV++eUXfPnll8jKysKqVaugUCialGazF2IKkvdeP4yUH+/BzfHDsOGu7/nJXCzjE8Iy8FVVVcjPz+ebyVjDXWBgIN+s4io7Yg8Pj0bOdmq1mi87EGoO+/5PRF7YBKfValFWVsYHNa1VEnAWpFIpX5MnzJILAx5WliHMwtfU1JjoOrOa8K5duzq05tnaWKrVZZuua9euwd3dnV8UhVlmYRkOy4Y255KoSArEjX0aVBbWoqZEB58QcWVLm0JYC9+lSxcTxZXz58+jvr6eL32SyWSNvmMsMK6srERQUBAUCoVDy0ysjVQqNbFXrqurQ15eHlQqFXJycvh6eDb3Mkc5Mb53sY4L+Gts1hhf2E2D0GXGTGRtWIfD/34dU3/42eLzmPmVUGpOWMfPnEGZnK0rYHFWZ8fN8+fPx/Hjx/kGPalUCi8vLyQlJeGjjz7iL5SzwnEcrl69im3btmHbtm3YuXMnqqqqkJCQgLvuugtTpkzhd8eORkyNez//Txu5a2icyZdULOMDwLtwlZSUQKVSISsrCxKJhO9sj4mJgbe3t8sEfk0hPFYXlh2o1WpkZGTA09MTHh4eqKtrKJmRyWSIiopySetnS5g3R5pn4TmOg5eXF58oYBlVR9WGMuz5XWsqy3z16lWcOXOGlwWrqanhy3Bakw2V/y9IBhoULmKGye31lqyKueJKZWUltFotVCoVLl26ZPE7FhcXB7lc7lSSc+3Fy8sLXbp0QZcuXfiNQk5ODoqLi3Hp0iVcunQJQMOc7evri5CQENEEps4QJFuLYf+3CNc2rUfWxnQUHT+KsIEtl0AJ1WKEiZby8nLRXre2YjFIZhPbxo0bUV9fDw8PD0ilUj7DIETMN1FL3HLLLTh06BBGjhyJiRMn4sUXX8S//vUvjBgxAo8//rijh2eCWGqSq+trkH5xKwDgjj4zAYij3MJoNKKiooJvuGMLkru7O9+Myep0FQqFzfQ+xYzRaERdXR10Oh1fYsIacoVZCalUKroaY3thMBhgMBhgNBp5oX43Nzf+/zt6IyiGe5ZdB+E9w8bFrh+7hs0FyUKFC/WlCqcNkoVIJBK4u7ubHDmzf25ubqivrzeRVHV3dxfFZ2ovhM19UqkUKpUK9fX1cHd3R2VlJY4cOcKXbyiVSsTGxsLLy8uhm1Gxfj7MrMpahCYmIfGOO3FpxQ84+MarmLluc5t+X3jCIoZYxVo0ez4YFhbW6DGO43gZODYRtFeKxJxFixbh9ddfN3ksMTGR32nW1tbi2WefxapVq1BXV4dJkyZh6dKlFsfZGj777DN06dLFRMrOEbbUrUEs5Ra/Z+xApa4KscHRGBYzEIDjgmShZnF1dTW/KPv7+yMmJgZRUVF8wwvLEKrVapw4cYJvTFIoFDaVmXI0woYsZv0sl8sRFxdnYi4hdG5jagdCNQhXlHsE/jKEYWUUVVVVfLY4ISHBROXBUtmBvSX4PNzdMHRAJCSw38ItlI7TarX8+zZvShSqegjd7dg1Mi8nUCQF8P+tvtg+e2oxwOTR2PxSXV1tovbCvjuswY3da1euXOEbPFnpiquU7JjD5CtZ46aHhwcUCgV69+7NnzhwHIfa2lq+AfDatWvIysqCu7s7goKCEBUVxQfX9oJtlMWILcY25PmXkfnrz8jdsws5e3Yi5pZx7R6bq2DxG3njxg2UlpbyDRbCD0IikfBHRLW1tbh27RpWrlyJu+++G927d+/wgHr16oXt27f/NUDBpPH0009j06ZNWL16NYKCgvD4448jLS0N+/fvb9ff6tOnT6PHbOW411HEEiSzUos5vVMa7WJtPT5W81hQUICysjL+c/L29kZ4eDhiYmLg7+9vceIwr9MtKSmBWq3GpUuXeEF+lmUWWyd5W2DvjS3E1dXVvIGEedAnxNy5jak1sFpmb29vPmB29vpkpgvKaouZUkhLLoDmZQdCCb7a2loTCT5Wh2ptQoN9sHPVXTZ5bYZww8QkyJraOAhhUlEymQyJiYkmAeHVq1cbBYSmmWTnCpJZAxO7RgD4Mpym1ECEDbasgZR9V69cucJ/V9mmS4xmQa2FSaSy+uuysjIEBARAoVCgS5cuFkuVJBIJfHx80KNHD/To0YNvsGYNgGfOnAEAfi6KjY21+TUScybZFmMLjI1D7/sfwpkvPsO5/37V7iDZlWiy3OKhhx6Cu7s77rjjDgwfPhxyuRxubm7Q6XSoqanBtWvXcPjwYRw+fBgSiQR33nmndQbk7m6x1rmsrAzffPMNVqxYgXHjGj64b7/9FsnJyTh06BCGDRtmlb9vLcc9ayOGmmRVpQY7ru4DANzRdyb/ODtOtPb4jEYjampqkJubi+LiYtTU1ABouEcCAwMREREBpVLZ5uyLUD5N6GqXl5eHixcv8pqkLIMq1kmSYW5W4eHhAZlM1uyC3RI+Pj587bawIcvcClqM8lTmCDWBtVotKisreU3g5oK+5jC/h5h9slqtRmZmJl+b6yybCvOgjzXgxMbGtvszFtYrCp3ihFlmz0ApdOUGpwiShZ9xaWkp3+DZv3//dsksmltmCxtDmWW2cFPhDN8zpmahVqt57faIiAj07du3zb4BQjMgoOEezcvL43WZc3Nz4ebmhoCAAISHhyM6OtrqNd7WLmmwJrbScB70zD8R3LU7et073+qv7YxYjC5iYmJw5MgR/Pjjj1iyZAn++c9/8l9WVpxdU1ODPn364O9//ztuv/12qw3o8uXLiIyMhLe3N4YPH463334bsbGxOH78OOrr6zFhwgT+uUlJSYiNjcXBgwetFiRTJrlp1l3cDANnwMDIvugmM+1ctdb49Ho9CgoKoFKpUFFRwU9Svr6+iI+PR0xMDDw9Pa02OZg3btXV1fGTfFZWFi/LJKZgh0mYsQWVWRtbw6zCEu7u7ny3urA5Izs7GxcuXOCzX2LaVDD3PRYYN1VmYi1YhjAuLg56vZ7/22fPnoXBYDDZVDjKuU0Iy/SxoK+srIwP+vr162d1eUvzgJBt7PxiC6A7Z0B5bg3OHD2HiPgw0ZQ/CYM+ZgpjSxlEHx+fRg2SWq0W165d42X4xGApLoRtrtg1YoFtjx49rF6C5OHhgfj4eMTHx/MNkjk5OdBqtcjIyOAbkYXazB29Rp0tkwwAvsow9H3okQ69hlivWXtoNgV311134a677oJGo8HRo0eRk5MDd3d3REREYMiQIZDJZACs92ENHToUy5cvR2JiIgoKCvD666/j5ptvxrlz51BYWAhPT08EBweb/E5YWBgKCws7/LcZYs0ki6Fx776b5iA6MBKeUstHie0JklmWjx2psWvv6ekJhUKB6OhouwanXl5e/EIl1NNlGVQWDNrTxlcY0DDrZ29vbz6L2VZr445gbgXN6nTZpoJ9bgqFwq5ar02VCDAlAXsGFe7u7iZqBxUVFfxJxYULF/hj5/YEOxWVdbhp6jcAgNNbH4KvT+vvQXY/s2uk0+kQGhqK8PBw9O7d267a10y3On6QGiXnrgEAKm7oUF6Xgbq6Or6ml0mo2euzMzc9YUGfrS3WzRHK8DGzF/bZZWdnQyKRmMjM2XPjVVNTwycSSkpK+M3VgAEDOmxc1FpYcqNnzwY9X4PBgKKiIhQUFECr1aKoqIhPrigUCsTFxcHb27vNY+uMQbIQQ309KrJvILhrtzb/rlivW1tp8RvPcRzkcjmmTJli8WeA9S6G8G/07dsXQ4cORVxcHH755Re7TeBiDpIBx35pPaWemJo43uLPWhskG41GvuGO1cyyBgTm8hMVFSWKBhZzPV2mccoa25jeMFPLsCZMe5VpULKARqFQICkpyWHWz+YI63SFQdj58+d51zBbZVBZMxCrLQb+kteyRba4PUgkEgQGBiIwMBBdunQxGTPTixVavra08fL380RVdT3KKupwI68Myd2aV4Sw5ASoUChE45QobN7zqwlFv5EDTGqZL1++bHV3RCGWameZPri9N1fN4e3tbWK5zsxMhJbZ7D6y9imAcO5jrqRs7ktOTrZZ/X1bkEql/PXhOA51dXXIzc2FWq3GjRs3eBfJoKAgREREIDIyslX3kZiDZFtbZhdfuohNd94GY3097jp6FlIRnIA5ghYjkeZuEFvfPMHBwejRoweuXLmCiRMnQqfTobS01CSbXFRUZFW9Zk9PT1E6CQoNO8T4pW0uSGbHzwUFBSgvL+fLWYTHi76+vqIoZWgKYQaVNbaxRSMzM9NEXq49CyvLOLLgoKysDL6+vpDJZOjZsyeCg4MdHtC0hHBTkZSUxDuusVpvlkFVKBTt0hhm2WJ2jcrLy/naYtZkLMbvhhBPT0+TYIdlv7OyskwURSypQQAN92F8TBBOX1Dhek5poyBZqGPMNqH2cAJsL+bNe5aa29jG6+LFi9DpdHyWub0NksLGXY1GY1I726dPH9Hrgwsts7t27cpnv7VaLc6cOcOX97B/7dnAC0/R1Go1f4oWHx8ven1niUQCb29vdOvWDd26dQPHcSgpKUFubi5KSkpw/vx5nD9/nj+Ni42NbXLOFut6C9h+bAGxcaivrkZ1YQHOf/df9H14QavH5ejSUGvi+HRdM1RWVuLq1au4++67MXDgQHh4eGDHjh2YPXs2ACAjIwPZ2dkYPny41f6mh4eHaGuSAcdIqxg5I2b8cDeGxQzEE8MfRLB3YKPnCINk5nCXl5eH4uJi1NbWAgAv5RMZGQm5XC6KbHF78fHx4W2OhXV5J06cgJubGx8MNldfKVzctFotv7hFRETY/fjb2ghrvbt06cLXCKvValy/fp2XEWvtNWKlJqyhLCYmxu7HzNZGaPTSvXt3k6wvU4NgpT3Ca9QtLgSnL6hw4bIWU8Z2M8lOsxKBjjZu2gtF8l9ziSajotHPzU9zqqqq+PtI2CDJ7KCbu49YUCyUsUtMTBRNDXR7MbfMZptt5iDJNttyubzZzTaT+mOlJqwfw9kdN1lpitBauaCgAIWFhSgoKEBeXh4vHRoWFobo6Gh+XunMQbKHry8GL3wRexY+iWP/eQfJd94DDxeVAm0OUUUpCxcuxIwZMxAXF4f8/Hy89tprkEqlmDt3LoKCgvDAAw/gmWeeQWhoKAIDA/HEE09g+PDhVmvaAxomHGa0ICbYl8FoNNp9Qj+YfQz7bhzBmcILWDjqUYvP4TgO+fn5yMzMRGVlJX8U5Ovriy5duvANd66I0KpT2OyTkZHBZ6lYDapQfqy8vJw/JnX2haglvLy8TDKoLJNnfo1kMhkf9Gm1WpSXl/PH3/3790dgYKDLXiOhoogwg8pkClkNau9EGX7bDOw+cBk395eYyGuJqUSgNQRG+cDT3x26Sn2LChfMiMLf359vkDTPMgvrdA0GAx8Ys+9acxJkroCwvIc5SLKyLaFlNtt4AeCzxexkRqFQoFu3bqI7dbAWHh4efIKDbbxyc3P58p7Lly/Dw8OD76kQ63xjD+WNnnffh5OffoDy69dw+vNPMejZ523698SIqILk3NxczJ07F1qtFgqFAqNGjcKhQ4egUCgAAB988AHc3Nwwe/ZsEzMRa8Lc2cSGIzPJq86mAwBSkifDx6PhKJIFg3l5eSgrK0N9fT3y8/MhlUp533ZXDmiaQthw06NHD5SUlCAnJwdXrlzBxYsX+ePksLAw9OvXT/RHu7ZAKJ/GjBhyc3P5awSAd9zqLPbY5liqh8/JyUFWVhb83EsAAIdPFSEgcDD69OnjtKcOEokE8sQA5B8vQcn1KtRX6+Hh27plyZLqSm5uLrKysngDKh8fHyiVSqe+Rh3B3DK7oqICubm5uH79OjIyMgCAz8b37t1bFPXF9oRtvJKSkgA0lJmoVCpkZ2dDo9HwzfKlpaV8nbpY+kHsYXQi9fTE0Bdfxba/348THy9B7/kPwTsktOVfdCFEFSSvWrWq2Z97e3vjs88+w2effWazMThD4549qdXXIf1Cgz3lzB6TceXKFV4OieM4SKVSBAQEIDY2FhKJhM9a1NTUQKlUtrtG11kxd3CrrKxEUFAQYmJiEBQUxKtBXLt2DXl5eQ5RgnA0QsUHluXz8/NDVFQUgoKCoNfrodFokJOTg7y8PJOyDGcu0WkLzJ2NXaOSkhL4+PggPDwcPXok4t9fXkdpuQ479maiV0G+U+lWm6NICkT+8RKAAzSZFYjoH9Lq3xWqq7DGxLCwBhk5ZkZRWFiI3Nxck1rmzhQwM7dR9o+VgzF1KqZfza4Ru5dcNZNsCfMabI7jEBYWhpCQEL7/JCcnB9nZ2ZBKpQgMDOS1mR1VqmMvDecet83BiY/+A+2Fczjx0RKMWPRmi7/jSvdN51hx2oCYdZIB2FUGTq/XY+vpnajQVUHuFQpJbj1y3HL4Y+Ho6Gj4+PiYBHfx8fF8o55KpeJrdFnAHBoa6nLBoNAEoLi4mDcBSEhIsGgCYC4vd+7cOd6gg5VliLmOtD0IzSq0Wi2MRiNCQ0MRFRVlMVvMyjJY6QozoBCWrrhaoGPeUMZc/CypCMyZ0Qul5XW45eYhiI3wglqt5nWrWTOjXC53Ctc20+a95oNkoU63Wq3mN6FNNSaGh4fzmroajQZFRUXIyMiAr68vf41cscyJbbCEMm0KhQI33XRTo6RFWFiYye9otVpcvXoVHh4efOmK2Gvb24O5VTbrAbBU+sYaAMvKynhzq4sXL+LixYvw8vJCaGgoYmJiEBISYrfvm70ssyVubhj28uvYNG82ii9daHUttNjnndYi4VypDdEKfPrpp1i3bh3Wrl3r6KE0YteuXRg6dKjNjsSMRiMqKyv5LuC6ujoAQCVXjQppNab0nQCZTNamL6Zw4Ver1aivr+czg84aDBoMBl5BQKvVdthO1pLEUnBwMJ9ldsYjUGFgwtQ6mJ6qTCZrV2DSlOOZQqFwCmULS7BMKNtgsYYydp3amqVizVfs3mQmHmLOxGduzsfK2w4AAEY9l4Txi3qb/NxgMJgYVgg3lO2R+mN1uuw6GQwGE0txZyzvYQEcm0Oqq6s7JFHZ1BzHsszOsPmyRE1NDVQqFT+H+Pv78wmcttapGwwG5Ofno7CwEBUVFTAYDCbldLGxsfD09LTZdcrOzoZarcbAgQNt8vpCOI5D4dHDiBjScv8XU7fw8vJyic0nBclmfPnll/jpp5+wceNGRw+lEbt378bgwYPhZ8UOU51Oh/z8fD44Yw137IseFRVlteNbdsyuVquhUqlM9DaVSqVoFyd29M0yoSUlJfD09OQXjJCQEKsG+0zlgB0hM0F8sQeDloIPVnts7eDD3EYZgEkwKNbNl9D0hH3n2AZLLpdbtaGMbVDZNaqpqTEpObDmPNIRSq5V4uPeWwAASTMiMWfVCJPvQElJic2cL22xmbMXljYPtjI7YqdlWq0WxcXFJn0FYtEktwRbc1hgzNYcFhhba07iOA41NTXIycnhpReBhrr54OBgREVFQalUWrU04/r16yguLsZNN91ktde0BhQkuzjffvstvvrqK2zdutXRQ2nEnj17MHDgQPj7+7f7NfR6PUpKSlBQUMA33AEN9d4hISGIjY2Fv7+/XW5uVuulUqn4XT0LmB3dfc6uE8ukMOtntnjaq16Pla6whRAAHyxY2/a1rVgKMBxxjN1UFo0FDI7OxAtrQrVaLQCYGIh0JMA4n6nGlt1ZeOahIS3ej8Ia5+LiYr5hi230HLWgGQ0c3g5bB32NAQFxXhj+jZw/TRHandsDtvliGzBWFsQ+K0dv5Ovq6vj7vLi42Gabh+YQ6ntrtVpUVFQgMDDQxDLbkcGRGE4vWTkdc5Jl6yz7zrF1tiNryLVr11BWVob+/ftbadSto0arQfaObUi8fa7Fn1OQ7OKsWLECH3zwAXbu3OnooTRi79696N+/PwICAlp+8v8wGo2oqalBXl4e31AHgG8+iIyMhFKpdPgxbH19PT+pabVaeHh48Lt9e0z+LOBjCySzfhbW5DlaS5UtTuw6CWtW7XVMLJTd0mg00Ov1JkGEGOqE2eZLGAyya2TPe8k8O8nGYK3TAG1JDbqPXoo6nQFbf5yLUYNjWv27zX2O9ryX2AZw67zLqLxqANyAB8+NgDJS4fDTgKYaTNk1srazXVNjYKY8arWat1tn95IYmuuYBjr7x7TM2T973Uvs5EGj0Ziow4ihD6a+vh65ubkoKioyObENCAhAREQEoqKi2ny/Z2VloaKiAv369bPRqBtTo1Hjh5t6QVdZgTv2HoW8V+9Gz6Eg2cVZvXo13nrrLezdu9fRQ2nEvn370LdvXwQGNjbzEKLX61FYWIiioiJUVlbytVIsy8dqpcR6A1vqNBYeI1oroBeWB2i1Wl5DlAV8js5AtgSz01Wr1SZaue11tLME0xFlgUJpaamJOYHYVTlYMGipntWaWSXhPctsxIWKE7YKFP7x2h/4etUpjBkeh03L57TrNYSBGAsGmTa1NYN6oHFDGSslOv56ETLWFgIAHjk8EWG9g6zy96yJeYmPMBi0pu26pUyo8J4Va2kDYNpYqdVqTWy+rV2+Ultba5JV9/X1dQpFJbb5ysnJMTHb8vT0RGhoKKKjoyGTyVoc/9WrV1FVVYW+ffvaY9g8m++bh6vpa5AwZTqmrfi10c8pSHZx1q5di5dffhmHDh1y9FAasX//fvTq1cvElhtomFTLy8uRl5eHkpISXsLO09MTwcHBiI6OFn0w0xTCo3SVSmWSPVUoFG1amNgEzjIewvIA5tjljNcIaNyp7eHh0W55OWGWkQV8wiyjGLLF7UHYICmU52tvVs5cos3Ly8ukfMEeJw83csvQb/JXqK83Yv1/b8f4kfEdfk2hy6FGo2nQMhY0E7ZlYyE8/WC1mqwPQWgrvXfxRexcdB4AMPu7oeh9W+uz4o7APBg031i0teSAleSw768wE2qve8kW6HQ6XhZU2CTJNhZtmUvYhp2tBcKsulKpFH1SoykMBgPv/ldeXm6S1FIqlYiNjYW3t3ejueny5cuoq6tD796Ns7m2pCQzAyuGDwBnNGL21t2NmvkoSHZxNm3ahKeeegonTpxw9FAaceDAASQnJyMkJAR1dXXIy8uDRqNBVVUVLwcTEBAApVKJyMhIUWcc2otwkmQOUSx7YKluUWj9zLI/wkna0TWGtsBgMJhkovR6vUkm3vy+EGaLWamJsF61OStbZ4ZlolhZBqvvbCpDziTpWPAorH1mAZ8jslfPvbUDS78/jn49ldj3271wc7PeGIT1p2yuaanR0FyXVyKR8Ne1qZOgSxvy8PMdBwEAo19MxtiXe1ntPdiDpuzT2Xu2tJmvrq7mv6PCngyFQuG06hHNISxD0mq1KC0tbdFWnJkNsTm/rq6Oz6orFAqXW+M4jkNtba1JAyDHcXB3d0dQUBAiIyMRHh4OqVSKzMxM1NfXo1cv+39Xdjzxd1z88TtEjRqNmeu3mtyrLEi2FNg7IxQkm7Ft2zY8/PDDOH36tKg+YL1ej4MHD8Lb2xs1NTW8lrO3tzdkMhliYmLg5+fnEju31mLexOLt7c3LHbE6OWZHyyZie9QRigmhoohQV5ZlBNmixbLFbGF31qxMexGWS7AaXbZwAw2GC6yrX5hVdXQtPwBoiqvRZ+KXKK/U4cPXJuKheQNs9rcsmXcw2UNWFyqswW7t0bf2cgU+7d/QLN1zVhT+9uNwm70HWyPMMpvbz7P5mwVArqz73RKWTqxCQkL4/g+2OQPE06xsbziOQ3FxMXJzc1FaWsqfEnt7e8Pd3R3+/v7o16+f3WOVipxs/DCoN4w6HVJ+24DYcRNNxkxBsguzZ88ezJs3j7cQdhRGoxHV1dV8wx2rWwIayiiUSiXi4+M73cRqCZYRZMdVLKvOdt5hYWGdamK1BJOxKywsRGFhoYlEEauDCw0NdYlJrSOw8p78/HxoNBpeK5xlmaOiokSZ5Vv6/XE899YOBPp74sTmBxGhbL8CTmswGo3QarV8iRfbtPv5+SE8PBwRERFtmpuMeiP+rVgHg84IRXIgHj12q62Gblf0ej1UKhXy8vJQVlbGGzEEBQUhIiICSqXS5bKh7YGdjBYWFqKqqgpAQ3N5aGgoIiIiRLMhdTTl5eW4evUqSkpKYDAYAABubm7w9/dHeHg4YmJi7Nbwuvel53B62SdQ9BuA23fuh+R/yScKkl2cAwcOYNasWbh8+bLdP+D6+nqThjtmO8myMlFRUfyky3SGWSZCqVRarXFE7AiPvbVaLaqqqkwkiPz9/U3qmIWNLwqF47vm7QXLjrJj4Lq6OhMZOy8vr0bycrZokBQ75vrOrLmPZYw5jjPJnjInMjHVixoMRky/72dMGdcNj949EO7u1j8tYXXv7HvH7I3lcjlCQ0NNjFFYg2db5ACXDdkG1fkyuLlL8JJmFqQeznniI2woYyo5wqy6UDGDyacJa5ldIbBoDdXV1bx+MWs8FuoXC+f4mpoaXhJQJpM5XCLUXrASFXadKisreZ1nuVwOvV6PnJwck0Sah4cHQkJCEBMTY1NVphqNGj8O6YceaX/DiH+9DY//nT5SkOziHD16FLfeeitu3Lhh8w+YBXssyyBsuGPZvebKA8wnGVaf68xNDE3BjiiZmD1zEmPd5U0FvpYmmeDgYH4ydrVMfFPNZC3J2FnSGhY2SLpS7XZTih2tCehYvTcLmoUqFm1tJLU2rbWLbcvrsXIctVptUrrUUt1sSxsPS9nTX+89hPO/5gIAHj1+q4ldtZhpqqSJfXea03hmZWFsbmNNkmI36WgPwsZZlUrVpjnG3MzJ3d2dv5/EbB7UHthczJJhdXV1/HeuuSSPwWCASqXiPRD0ej0kEgl8fHz4BkAfHx+rzhG6igp4mknSGo1GAKAg2VU5ffo0Ro0ahby8PKt/wEajETqdjm+4Y0X5UqkUAQEBCAsLQ2RkZLsyeKw+V6VSobi4mM8+K5VKUR4Pt4QwGBFmEoTZ4va8J6ahy7I8fn5+fMDs7NdJo9GYmJ50pJmMNUiyINLZm4rMrxPLqnekHlTYbd/WINLWVFY1bLj9/doWZNliE2Beo1tRUcFfJ2H2dM/bF7D7zQsAgL/9NAw9Z0a3+W/ZC6PRaFLDbg2ZNqZSxK5TZWUln2WWyWROmWUWXie1Wg2DwWBi7NGeta6pk0RXuE4smWM0Gvn1uz112BzHQafTIScnh3caZLEG80eIjIy0SZaZgmQX5+LFi+jfvz/UarVVPmC9Xg+1Wo3CwkJe3gUArzUbExMDHx8fqzaTCeWENBoNb8yhVCoRHBwsyhuX1cwKFRY8PT1NsqDWPv63dJ3aK5tmT4TXiTVPCaXHrH2dWOc+u07u7u5OIU9lrl4hvE62OIY0L0dgpx3sHrbXdTpxtgD3PbsBIwfFYNm/p7T4/Lq6OruWk7DsKft7rBmy7AiHbY9fAgCMeaUnbnmhp1X/bkdpSmaR3U/Wni/Y58LuX2YF3R4pPntiPq+6u7vziQhbzKu1tbV8lrm4uBgSicRqjpa2hJnpqFQq3gDFVteJ4ziUlJQgLy8PxcXF/Km1l5cXZDIZYmNjO6SHrjl7Bic//QBjPvgM0v+dCFCQ7KJcuXIFPXr0QGlpabs+YKPRiKqqKv5mFNYJsUYye9Z7srpUtkMFwO9QHe0i11R3s1BhwV5fMks7eblczu/kHVmfy8wF2IJZU1Njcp3s6bolZqOD5uTK2LG3va8TCxbq6urspjW990g2ptyzChwH/PhRKmZNTjT5ubA8QFgXyz5De9Z7CrOC148X4OCDDXNUwtRQzF4+1GGyegxzwx52oqJUKu1+nSzd22wOcPTpDtuQqlQq/oTOESeZ5tl44amFGNSNdDqdyYkvcwNVKpV2zYDX19ejoKAARUVFqKio4LWZ/f39ERYWhpiYmFafGhkNBvw4qDfKr1/D8FffwIB/PAuJROIyJXoUJJuRnZ2NuLg4FBcXtzow0ul0yM/P5481mOUkmyhiYmJEsZtlC5KwoY0Fgu09+moL7dHJdATseJgFzKx2ju3y7VF3ymqwhVlQYQ2eGJrqmrPMVSgUdglwhFluYU2nmLJt7JREWL5iC5tqIa8t+RPvf3EIwYFeOLz+fkQo/SxK3Ilhc8Mw6Iz4t2ItjHoOgV090fcDP7sbtIjB+r01sCZJpgEvPLWwR42u8LuvUqn4Xg8W8Iml18OSfrXQVdUenycr8VOpVCgtLeUbFJVKZbP16vaCzU9Mm7mmpgZAQ2KPmZHJ5fJmv3uXVv2E7QsegFdQMO48cR4+IaGi+a50FAqSzSgsLERERAQKCgqavIFZ1jE/Px9lZWWor68H0HB0wRru2uq4ZG9YNokFgkwpw9qBILNyteS45AzWz0DjbBLLulkzOynMPGq1WlRXV/Pd3PbOFrcXcw1d1tXfWnWD1mBPC2Vb0R6zjbai0xkw9o4fcOq8CgN6huDVRxPg6/PX5yHWcqLPBm6F5lIFpF5ueL4wBaVlJY3qfq1t9c2OvYUqL+z7LZYNaXNYqtFtyfClI3+HzYXChjKxbLSaQ+i4yuYOPz8/fi2y1neC9SqwxjumSME2EGIPHg0GAzQaTaP4hjU3x8bGNlqPjAYDVt08BMUXz2PAk89ixKI3Rf8+WwsFyWYUFxdDJpMhOzubt382Go2oqalBfn4+30QmbLiLiIhAeHi46CfT5jB3smuv3aclu1Y/Pz8+ALBWsOQo2HEZy1wK5Z3aWu9dU1NjUkvn7u5u0tnuzPeTwWDgAw+1Wg2O40wMAdry3oRlOSwLKixdcObJuLW2za3B3HY7M0uDp9/JQG2dAS89NhQvPTFa9BuIX+48iIvr8gAAT5yZjNCuDXrPwlMooWEJC9LaujkSyrQVFxfD19eXvz+dYaPVHJbmlfYqQbDvMaubZRs6toEQw8lfexEqsGi1Wuj1ehOJzLZ+94Syo7W1tZDJZPwprdg3EM3BNKxZwG8e+0RGRsLDwwPXtvyOTXPTIPX2xl3HzkHepaujh24VKEg2g9XnXbhwARs3bkRhYSHGjh3L1+yw8oDo6GirN9yJhbq6Oj7DzJQy2PGQpawEa8Rh/5glK/vnzEFMc5gHgkDzzlCWbI1tkfERG03Jy7EAx9LRLGtOZCokQptssWZBrYH5+2bBG8uSm79vlgUVSq2x6ySXy7Fy/SUseGkz3Nwk2Pjt7bhlWJyD3lnr2Pmvc9j7bkPz3h2/jEDitEiLzxNm47VaLQA026xlSaaNlQew0iBXhJ1QsXtEeELVlN6wed2st7c3f8Lo7BuIpmCbMHadWCkgW8MsbQjYtWVrpcFg4O+nlsoTnBU2l+fm5qK4uNjEbOnsmTMI/m0Fys+eRq97H8DkZV87eLTWgYJkAWfOnMGHH36Ib7/9ln+sZ8+e+Oqrr3hHMlddnJuCLUYsk8BqBH19ffngmG0s2CIl9lITW8AygmzCrKurM7E1Li0tdUjtoBhh9blqtZqvz5XL5fDy8uJrsVlzorDcpLNhqQyANR8xqTaWBW1K45njOCx4aQvyVRX47+LpkIeKOxg8+0s21tx/BAAw/vXeGLUwqcXfYQu3uXSaufW6wWAwqcPujN89814HpmQSEBDAz/Xl5eV8SZlY6mbtDTu9YkEzaypnG3R2Wurm5sYnkFx5894UBoMBBQUFyM/Px1NPPYWKc2fwqCeHQr8AjPnvTxgzbpzT3z+dOkiurKzEsmXL8Ouvv+LMmTOora2Fr68vpFIpvLy8UFpairFjxyI1NRXTpk2DQqFwyV10a2jO+jkqKgphYWGdboKwBMsWFxQU8JMrAD4bEx0d7fSThrWoq6tDUVERCgoKUFFRwd9TwcHBiIqKgkKhcMlsTFvhOA6lpaXIzc2FVqvlawSZSUBUVFTzhhU6PdylbpBKxf/9LDxTii+GbwcA9J0bi1lfD2nT77Mm6sLCQlRUVABosDcODg5GZGQk3VP/g0mCsXuK2Yr7+voiLCwM4eHhTtEHYQ+Yt0FhYSEqKysBkGU2g+M4ZGRkID09HevXr8e5c+cwNCoS7nHxyM7JQV5eHkaNGoVJkyZh8uTJ6Nu3r6OH3GacJkj+7LPPsHjxYhQWFqJfv3745JNPMGRI2yZQc06dOoWBAweiS5cumDJlCh577DEkJjbIJXEch8zMTKxZswZr167FyZMnMXz4cKSmpmLGjBmIiopy6QnE0jGdUHLIz8/PJHPKuuXtpZQhJsx1Os31TA0Gg0n9I1M2YDa1rnwfCTGvmWVqGMJsMStHUalUvJEFy/x1Ftt14K+GV5b1A/6yDA8NDYVerzcpy/D29uZ/3lLd/+GTeRg6IMpeb6VN1NcY8LZyLTgjEDEgBA/vG9/s85sydBGWUbB7ip3wmJvtdBaYHCi7VsywgpWHCZUghLrittKpFzO1tbX82lZSUgJ/f38+Y8wss9m1spbRlbNgNBpx9uxZrFu3DuvXr8e1a9cwYcIEpKWlISUlBTKZDBKJBBzH4cqVK9i6dSu2bt2K4uJi7N+/39HDbzNOEST//PPPuOeee/D5559j6NCh+PDDD7F69WpkZGRAqVR26LWZXFtzcByHGzduYO3atVi7di0OHDiAgQMHIiUlBampqUhISHCJL4XQ+pMdxbWm4cPcbrSmpsZEKcOZmxYswUor2LUSOmO1pFnKgh+VSsWXX7BjTVc8rjMP9li9OluYm7o3LAU/tlAVERPMKtu8DKWlWlBWG89+tykLaI7j8ORrf+C/P5/GV+9Ow7yZvez59lrNJ323oPhqJTx8pXixaCYkbqbv25LKgtDeuLnNlNCOXFjr3prNhTMiLJcTGqAwY6nW2K+zZnVrOHmKGaEiRUVFBYKDg/k1rDlJO1bCwsydpFKpU5i+tAWDwYCjR48iPT0dGzZsgEqlwuTJk5GWloZp06YhKCioxdfgOM4p7xmnCJKHDh2KwYMH49NPPwXQMEnGxMTgiSeewAsvvGDXsXAch8LCQqxbtw5r1qzBnj17kJyczAfMycnJTnMjsMwCW2CZpXFHTSrMJ5ugoCB+Fy4W/cy2wuqv2WTI9HhZY0d7bWjNGz9YNt5ZJ1cW3LKATahC0FTzWWsQusJptVp4eXmZqIo4Y3AjDPZYRkqoydteq2xWL8ka1ISGKku+OYl3lx6Ej7c7dv18F/okdSzJYAtW3b4fGZsKAAD/uDAFwXF+/GaLXSvm0tdUk2xrMG96ZN8/dq8668kF0+UVZkE7aoDCGkrZ5oI5tdnKvdIemOvhWyO5w77TwgSK8ATWmU4O9Xo99u/fzwfG1dXVmDZtGtLS0jBp0qROUzYo+iBZp9PB19cXv/76K2bOnMk/fu+996K0tBTp6ekOGxur60pPT8fatWuxbds2xMbGIiUlBTNnzkS/fv1EtXizAEbYwSuc7GxhaWzuxCQ8thJzNtC8GYgF+7aa7ITZeKFuNQsExawQwjZb7FrpdDqbustZOjYWBkxi3lyYm58Igz1bHGkz7WreKtvdA28uu4qDJ9XoEhuMP3+9ByFB4rq3tr96Fvv/kwEAmPB5D3j3rDdxcbOFHjZTvxBKzLGyDbEHN5aUO5iMYEtZ0PZgnlwRlrDIZDJRB08siGVJHIPBYFNnVVaKx/4xy2z2T2wbsbq6OuzevRvr1q3D77//DolEgtTUVMyaNQvjx48X3XjtgeiD5Pz8fERFReHAgQMYPnw4//g///lP7NmzB4cPH3bg6EwpLy/H77//jjVr1mDz5s2Qy+WYPn06UlNTMXToUIfstlm2hP1jXbpCLUh7WmGygJllA1nALAZpIZ1OZ9L5DTQvK2VLzBUghHWWYqh5s+QIKDSqsNe9bmlzYcsAoT3jY2UjLPhimT17B18suLmSlY95T++GSluHIf1k+O79WxEWpnT4Asg+y8P/zcDBl7MBAMkLQjHsyW52rx8WzgVsMyOmI3RhsCe0h2c9IfYaH3NrE5YbsPp4e88FTdGU1rNSqbSrYhWzzBaamQQEBPD3laMss6urq7Ft2zakp6djy5YtCAgIQGpqKm677TaMGjWqU9WiW4KCZBtRXV2NP/74A2vWrMHGjRvh7e3NB8yjRo2y2STGsgrsi1hWVgZfX1/+ixgcHOzwSQswnbjUarVDpHSER9NC6SO2EIohcAf+WrBZoOWIUgPhMSLTOhajI6D5UbMjmiRZGQ37vIQ1s2IxPzl9oRDj71iBmjo95kyNwbxpCodsxCydCkg1/th13w0AQP+745H6+SCbj6M5WA8C+w466t5nCQ8W7Lm5uZn0M4hlXjc/VXJEo6Ql6VIxJWSAv06V2D+j0WjiRmurDT5b97Zs2YL09HRs27YNERERmDlzJmbPno2hQ4eK6gTc0Yg+SBZzuUVr0el02LVrF9asWYP09HTU19dj2rRpSE1NxdixYzu8aOp0OhPnIGb9zII9R2fTWkIYVNj6CEzYwS00PmHXytHZtJZgixDbXAAwuVbWXCibyqax0gBHZ9NawhZ1rE0h3MhotVq4u7vzQbFYazZ//f0i7n16A9zcJDiw9i7IAjmT8QvLQKw5/pbqy/U1RrytXAcAiBocigd3j7Pa37YGTZ2iNGU60RHq6upMjD2YuYxSqRR1CQjQuLxP2CjJNOStea0slfZ1tBbbXgjLfbRardWTWxzHQavVYtOmTVi/fj127dqFbt26YdasWUhLSxNdaaiYEH2QDDQ07g0ZMgSffPIJgIagKjY2Fo8//rjdG/c6il6vx759+7BmzRqsW7cOZWVlmDRpElJTUzFx4kT4+/u3+BqsXpbtQFn9HNuBOmsjE2DaTMHsPTvSTGHJJtvf35/PbDiz8Qm7D1jAbI1r5ax1mS3REUUESzCHLhaAm0uPiX1RZry37CD69QzDpFu68I9ZOxPeHqWSj3r+jtIb1fAMcMcLBamivZbWrse3dK2CgoJMrpWzIrSXZ6V/He1dYE3iwmvl7E3iwF+W2WyDUV9fz2eZW5uRZyID69evR3p6Ovbv349+/fohLS0NaWlpSExMFO33Skw4RZD8888/495778UXX3yBIUOG4MMPP8Qvv/yCS5cuISwszNHDazdGoxFHjx7Fb7/9hnXr1iE3NxcTJkxASkoKpk6danIsdOPGDdTU1PBZY2fLgLYXFoiYy/IwvUpLNCU75srXqr2Lq6t2+DdHS9q6TQW4woBIqA3eGa6VUK2EbTKbK2FhgbZQn7gtmtcr0vbh8tZCAMDTmVMRGCV+PWPhtWKN0a1Rdmlus9sZ7it2rYSZ06ZK7thGniVRqqur+ftKqVS6nNwoYHqttFqtiS56bW0tunTpgsDAQP65169fx/r167F+/XocPXoUw4YN4zPG8fHxFBi3EacIkgHg008/5c1E+vfvj48//hhDhw519LCsBhPoZgHzpUuX0LdvX/j4+CAvLw83btzA//3f/+Fvf/ubqOpl7QkTeFepVCgtLeWVMhQKBYxGo0lDhDVkx5wZpmpg6ZhWKpVaPAJ1Zjm1jqDT6fisqUaj4Y/PmRkFK9kQHq0rFAqX07W+llOKJV8dxpJXJsDDw/LRbnPqHAEBAXy2nv2MXau2liH88dIZHPwoEwBwV/oodJ0QbpX3aE+a26yHhISgsrKSr5nlOM5mZVPOgDDLrNFooNfrTepzheYe9fX1/LXqbMZVQMO1YkZfL7/8MrZt24bExETI5XIUFhbi6tWruOWWWzBr1izMmjULERERnS5WsCZOEyR3BrKzs7FlyxZs2bIFf/zxByQSCTw8PFBWVobBgwfjb3/7W6dw+2sNVVVVyM7O5rNUwF+WqlFRUU591GZtdDodsrOzUVRUhOrqagDg60BjYmJaVeLTWdDr9cjLy0NBQQEqKyvBcRw8PDwQGhqK2NhYl92c1tcb0G/S17iRV4a/3zkAS16d2OLvGI1GFBUVIS8vD2VlZQ1Nd/+zgI6OjoZCoWj3tTr5/XWsX3AMADDp3X4Y9nj3dr2OWGA1oTk5OSgtLYVer4dEIkFgYCAiIyMRERHR6QLjpmAlcjk5OXxZBgD4+/sjPDwcMTExnS4wNkfoerd69WpkZ2cjJCQE5eXlkMvlmDJlCqZOnYrx48e3yuiDaBoKkkXCV199hUcffRQjRozA5MmTMXnyZPTr1w8SicSi219qaipSUlJcxu2vJVgNqLBelmWLQ0JCoNfr+Wygq7vYtQahPm5xcTHfiMUsQ5miAMvKsGNwsTfj2QKmtMLuH6FjnaenJ8rKynj92eDgYJMssyvx+84ruP3RNeA4YOmbk3Hv3/o2eg4rDWClKtXV1bzknp+fH/8dZcoirXEMtETuUS2+GbMLAHDT/QmY8elAq71Pe2Iu5chOv4KDg3mHU2GjJGv07IxBoCV3QCbTJnSVFDami0Utxh4YDAYcO3YM69ata9L1rra2Fvv27eOTbRkZGbh48SK6devm6OE7LRQki4TS0lJIJJJmd32u5PbXGljzAqvFYkdwzU2OQhc7lUoFo9HIB8yufIwpND9hesHMaU0ul1uss7W3CYGYYAoFTCqO1fg1V3Ii/B1hCUt7gkCx8u7SA/jXR/vg4eGGrT/MxdABURY3Eex9N6U+Y15qAMBELaOlzVhdeT3eiWhQLooZLsP87WOt/2ZtgLBmVqjbzcrCmpuz2LUyt4B25ma9ljBX7/Dz8+N7Tpqas5pKljh707olOup6l5OTg+joaJeYmxwFBclOirO5/bUG4QSo1Wr5Zg62WLR1AhQ2xKhUKr55iC1Yzp41ZZkXdr2AjpmfMI1hYc23s0gotYSlTQTLCrcnEGENjyxwBGASODrrZsxo5HDXP9KR/kcmFKHe+PLNwZCiukPa3E1ln1nQ3FRG/oMem1CeVwPvEA/8MydFtPefuYSlXq83qS9u6zwjtIAuLi7mewaaa2hzJqqrq/k5mSmdsMC4raczbDPGNmRMa5jNgc6YZWaud+np6di0aRMkEglSUlKQlpbWaV3vHAkFyS5CeXk5Nm3ahLVr14rG7a81NNWwYW2NZ9YhzCZnljVtLsMjNprKotjCqtfS0ScLmJ0lW2MpkGWd8NZ0TWNmEywIZOoEYjIPaQmhpF12TiEeXXQMN/Jr0ScxFJuW/w2hIdaT/2ObMWEQyK6V8N76MWUvru4oAgA8mzUd/mHiuY56vd7E4MdWJV7NzY/Odm+xubeqqspEqtJaQZ+5hKUzNXA35Xo3e/Zs3HzzzZ2y/EYsUJDsgjjK7a81tFf6x9rU1NTwR6LM9pllM8R0vCl0JGNNLELZMXsskpZc0Vo6bncULAvHyihYSYQ9F0mhvBzTmmaZRTFl5IUZUKG1sUKhQEWNO8bPXYWucSFY/XkalDLbfCdYEGheD65QKHDyPwU4uiwLAHDP76ORcIvSJmNoLcysgpXb2NvN0ZI2t1DzXUwlPxzH8bbZKpXKIb0PTamLsPnTkRlZcr1zHihIdnGY299vv/2G9PR0GAwGTJs2DSkpKVZx+2sNthCRtyZMAozVxfn4+PBZDkcYaAgzbSUlJfDy8jI5bnXkqYD50XlNTU2HTDk6ijCLq9FoTBrJ7GmD2xTmTnwsI+8oCTl2QsCuF3MGZOMR3ltnLqnQIyEU3l722QSxwIGN7cpvWlxdWgMAGPd2MkY90dOu30Xh6ZNarUZFRQVvViGGxk2he6hGo4FEIuHnCWuelLQWJsMpdANl2XVHu06KwVSqKdc7Fhg7Y4lkZ8Blg+TPPvuM11Xu168fPvnkEwwZMsTRw3Iozbn93XrrrVbLoDZnR2oNi01bwo7omX4pCyJsWWbA3ODYYies2WSBnlgyROawrKmwvpBdL1tl5IW12EK7aRYciCmzLcRoNJpk5JkZCQvobWWEIDQDEdaaM23j1t5bxaU1CA2234b2yu58/DTtAAAgYqoXev7jr82PrTYYwgyo0ASFafKK1ayCbRbZd0LYuNuUq6E1YGUnbL5kihRi11wXbjC0Wq3NDKeErnfr16/Hvn370K9fP97cIykpSbRzu70Ra8zmkkHyzz//jHvuuQeff/45hg4dig8//BCrV69GRkYGlErHHtmJhabc/lJTUzFlypQ2H91Zsmc1D/ScDRbUsAXTmoL/dXV1JiYVzhLoNQfrVGfvydvbm18wO3IUzHGciZSWsBbbUdn+jmJJWcRa9sOWGuWE2f62nh4ZDEa88fE+fPvzafz56z2Ii7aP7mq1tg6LYzcAAOJulmPaD734LLM1NxhC9Q5hBtSZmzCZBKTQBEcoMdeR96TT6fgyCqbywkrV2rLpEgvCLDMrYwkMDOSD5rbOXRzH4caNG0hPTyfXu1Yi5pjNJYPkoUOHYvDgwfj0008BNAQ7MTExeOKJJ/DCCy84eHTiw9ztLyMjA2PGjEFKSgqmT58OuVxuUYqH1X8yq0wxlQVYG0tKGULXp5aONpuaiIVuZa40cZo3zUkkkja5r1myNWYlOs7SaNkWzOtdWTMby8i1dG9YalJk16qjm67aOj0mzP0JJ88XoU+SEjtX3QlfH/sc5b+fsAFVqjr4Kbyw8PoMAKYNWqwMgp1gNCV3aA4rsWJlMF5eXiYZUFf6LhoMBhOJubq6OpOSpNaUu7EeDpVKhbKyMl6RoqMbOjHCSqSYagbQsmoQx3HIyMjA+vXrkZ6ejnPnzmH06NFIS0sj17tWIOaYzeWCZJ1OB19fX/z666+YOXMm//i9996L0tJSpKenO25wTgDHccjMzOQD5pMnT2LEiBFISUnBuHHjcOrUKWzZsgU1NTV46KGH+GyxTCZzucmyKSx1azOlDKVSyR/VCXWezU0qxHx0a21YOQkryxA2iAml+NjixBYoqVRqoq3rSpuu5hA2s7HMpqWAVxhYM63ntgTWbSG3oBwj076Hprgat01NwvIlM+yy6H83ZQ+u/9lwDZ67MQO+8sbH4HV1dSZZUw8PD/56CTfrTHpM2FApDPQ6QxDTVOO0ucxmc3OcK25Sm0IoHclKB998800MGzYMU6dORXBwMDZu3IgNGzYgKysLEyZMwKxZs5CamsobNxHNI/aYzeWC5Pz8fERFReHAgQMYPnw4//g///lP7NmzB4cPH3bg6JwLjuOwe/dufPzxx9izZw9KSkrg4eGB5ORk3HPPPXjooYecsizA2rBSgKKiIpSVlcHb2xsSiQS1tbUd0nl2RYQd+kVFRaisrOQX3NraWpfOrrcHYemESqVCdXU1fHx8YDQaUVdXZ+IAaOtN6v5jOZh678/Q643417O34NmHh9r07wHA78+cxNEvrgIA7vvjFsSNVDT7fGHWVKVSQafTwcfHB3q9HvX19R0qO3FFhBt5plzj5eWF+vp6GAyGNp2WdQaKi4vxzjvvYMOGDcjJyQHHcYiJicGMGTOwcOFCJCQkOHqITofYY7bOvWITFqmsrMSTTz6JHj16YPLkyaisrMTLL7+MPXv24IMPPoBSqcSLL76Im2++Ge+88w4uXLgAF9trtRqDwYDq6mrU1NRAp9PBzc0NUqmUz8YAgJubG9zd3Tt9wAeAD+50Oh30ej1/bVi2z2g0OniE4oLjOOj1euj1ehgMBv7+YtfLYDDw/2z9HRw5KAbv/994AMBrS/Zg654sm/49AFAkBfL/rb5U0eLz2XeM4zhwHAc3Nzf+mnEcB51Ox//rrHOWEHYvSSQS/tqx76TRaERtbS2qq6tRXV3daa+XXq/Hn3/+iWeeeQZDhw7FTz/9hJtvvhmrVq3CH3/8gbvvvhsHDhxAt27dMHz4cHz00UeOHjJhRVwuDSiXyyGVSlFUVGTyeFFREcLDwx00KufC19cX7u7u+M9//oNx48bB39+f/9no0aPx6KOPori4GOvXr8fatWuxePFixMXFYcaMGU7r9tcWmmqKSUxMNCkLEHZ+Hzt2zKTzOyQkpNMEzU0dhycnJ5schwvlyW7cuOFwuTRH0ZRsXK9evUyug/n1ak7OzVo8OLc/Tl8swre/nMEDz23E6a0PQRZiO8ULRVIA/9/qi+UWn2NJ1k6pVKJ3794m10tYzpOdnQ03Nze+LtdZG/Tag7mCj1QqhVKpRJ8+fUxOu4TNxex6OXtzcWtpyvXuq6++wrhx40xOISZOnIi33noL+fn52LJlCyorKx04cudD7DGby5VbAA1F4EOGDMEnn3wCoCE7FRsbi8cff9zhReCuSFNufzNnzsSQIUOcfvGxhrwSU/8Qo4aotREqN2g0mnY1VpnLpbGjX/YarrZAWzIgYQFva69XU8Yg1q5/r9PpMeuhX3F3Wh/MTe1ltde1RJWqFu8nbAQAdBmrxN0bRwNo2Kiy71JJSQn8/Pz4DWhrynSEdfLmjaFi0G63Npa04Nn80xp1GGeWqWwt5HrnOMQcs7lkkPzzzz/j3nvvxRdffIEhQ4bgww8/xC+//IJLly4hLCzM0cNzaaqrq7F161asXbtWdG5/bcGWQv1icKOyNkJXPmtLdAlNJlhdrrPXltrSylpY9y00wWDXyxoBDcdxdgmKOI7D4rgNqNHq4BfuhVl/9OQl84KDg/nAuCNBrVBikDWz2cru3Z4wUyKVSmV1V1GmbCRGw6PW0pzrXVpaGoYNG9ZpTq8cjZhjNpcMkgHg008/5YWp+/fvj48//hhDh9q+0YT4CzG4/bUWR1m+WuoiDw0N5Rd/R1qntgRTV9BoNCguLoaXl5fNzR4A51UpsCTTZg89XvPyIPY5WcvwQaWtwoVMDcYMj7PSiBtg2ctVKYegPlkNAJi6tQuiuoTbVB2G2RmbyxeKvcxA6BCoUqlQWVlpF0UK8w0yO8Vgc6fY5nmtVovff/8d6enp2LVrF7p27YpZs2aR652DEWvM5rJBMiEumNsfC5ht5fbX1jEJJdr0er3JkasjJncWADIHO5YBVCqVDjdkMbcNNjfAcMSRq9j1bmtqakwCVF9fX/56OSJDKTTOYLKEwkC9rQFgVnYJbr1zJSoq67D3t3vQo4usQ+OzpK+d/bUeWWtKAADzd45FzNCO/Y22IHbbc3P1k9raWt4hUCivaM/xVFZW8nMqM/5hJ2WOuOfJ9Y7oCBQkE3bHaDTiyJEjvD12R93+2gI7JmS1jEK7bLE1hzEHO1ZHyOoulUplq+pUrQELWoRaz+x6ia00RAzOaULTGGFZgHAjIRYsOfOxALC1JQx6vRHT7/8Ze4/koGcPOfb8cnebjUZacmo8suwKtjx3GgAwY+lA3HSv42S2zOcPtulhp032mD9Y/TnbTLONjjWcQK2N0ELe3JjDlvOH0PVuw4YNOHr0KIYOHYqZM2di9uzZ5HpHtBoKkm3IokWL8Prrr5s8lpiYiEuXLjloROLDaDTizJkzWLNmDdauXYvMzEyMGTMGqampmDZtmkW3v7a+vtBtqqamxqThxFkMUNhio1KpoNVq4enpyS+M1s6YslpGVkbBtJ5Z0CKmjURTCOu+WWMWy7BZ+6je/LjZYDCY1GOLaSPRHOYBYGutvwtUlRgx6zuoNFW4c1ZvfPH2lBbvR9aoyE5MWGOnpXrZrJ1F+GHGXgDAsCe6Y9I7/azzhjuIpfIZ9rl3tG/BHIPBwH//mSIFu15i29w3hbkxBzuJYnNxRzf+zAgrPT29kevdzJkzERkZSYHx/6DYpPVQkGxDFi1ahF9//RXbt2/nH3N3d4dcLnfgqMRLc25/KSkprZ7kmOQYy16way6XyxEaGiramsLWYq6UwWommVJGWxfMpjKKLDAWU/azPQhrNYWNbCxb2Z73Z17mwTYtriJXJ5RV02q1vFxaU+6Hfx7OxrT7fobRyGHpm5Nx79/6mvzcUlmAsPmyudr7ioIaLOm2CQDQbWIY7lx3s/XfcAcRBoBqtRpVVVUIDg42UcBpK0yyjm2MWYa9tYoUYofVyrPNuHCebm1G3Gg04uzZs0hPT8f69euRlZWF8ePHIy0tjVzvmoFik9ZDQbINWbRoEdatW4dTp045eihOBzsuYyUZBw8exMCBA/mAOSEhgZ/89Ho9MjIy4OXlxWcomHObXC53aec21tzEAkCmlMEypk1tCFhzElukgL+sj0NDQ50m+9kehHbOLFPOAuamgg8WaLPfKy8vb7NMm7NiSS5NmClnAe7izw9i0Qd74e3ljl2/3IVe3WUmMn7trX/mOA7vRq1HXVk9gmJ88dSlqbZ8u1ZBWIvOLMPZ96u5ZkkmbccUKfz9/U0UKVz5HmMnfuweCwkJgUwmQ3V1NZKTk/nnGgwGHDt2jA+MVSoVJk+ejFmzZmH69OkICgpy4DtxDig2aT0UJNuQRYsWYfHixQgKCoK3tzeGDx+Ot99+G7GxsY4emlPBGi/WrVuHNWvWYM+ePejRowe6du2KkpISnD59GqGhoVi5ciW/ANuq813MMH1itshWV1fzwYxSqTTJDjKZK0c21IgBcyUDdozNghnWqCjU0m1N9tNVsbRZYKUSMpkc9zyzGdv2XsfwAXK89HA8b4TCyoLam2H/ZtxO5B4uBgC8UJgKrwDn2cSxWnmh9bOwLleoYVxRUWE1aTtnpqqqChqNBufPn8fcuXMRHh6O5ORkeHp64uTJk6iursa0adMwa9YsTJ482WnK5sQCxSath4JkG7J582ZUVlYiMTERBQUFeP3115GXl4dz584hICCg5RcgeDiOw4ULF7Bx40akp6fjyJEj8PHxQU1NDcLDwzFnzhykpaWRhI+AiooKZGdnQ6PRQKfTAWhwUwwPD0dkZGSnXYCbwmg0QqPRIDc3FyUlJTAajXBzc0NQUBCioqKgVCpF1RQlBurq6pCfn4+CggJUVVWhvFKPX7YU4ekH+iE5sYvVygLWP3oMJ7+7DgB48M9xiBoY2uHXdASsLCMvL6/R9zIiIgJRUVGdcvNlCeZ6t3r1amzYsAH19fX83D5p0iSkpKRgypQponBlczYoNmk9FCTbkdLSUsTFxWHJkiV44IEHHD0cp0Gv16Nnz57Izc3F+PHjMW3aNEydOhWxsbEu7/bXVpgJirCWlHXes+afkpIS+Pv78xk+Vy4VaA2sUVHYsMaaOllGq6qqyi6as86A0FGRaXuzo3EPDw++9pgpoVijke3gx5n448UzAICZXw5Gvzutq8lsa4SOiCqVineQDA4OBsdxKC4uNqltZ/0TnW3Dz1zv1q9fjy1btsDPzw+pqam47bbbcPPNN8PNzQ2nTp3Cpk2bsGnTJhw9ehQPPvggvvjiC0cP3amh2KRpKEi2M4MHD8aECRPw9ttvO3ooTsWhQ4fQr1+/ZrOfTbn9zZw5EyNHjnTJOlvh8TfTJWUBsFwut5jJq6+v54NCjUbDawsrlcpOUXYh1HtmTVYtSZ8xRzZWqsJqRV29Hplhyfa6OZdIljH9dPlhdIuWQh6MNsvLCbnyRyF+mrUPADDymURMeKOPtd6azWBlFqxfwM3Njf+eWWruZA25rE/A3JTDFTPMbMO1efPmdrnesU1Hr162tUfvDFBsYhkKku1IZWUlYmNjsWjRIjz55JOOHo5L05TbX2pqKsaMGePUmUBhwKLRaExqZdtqgiJcyIXuYu1VyhArQpm2jmY5meqAcJNhTQc7scAkzti9wRQuWntvvLfsIF7/cC969VBgy/e3obKipJG8XGvdLEuzq/BR8mYAQI+pEZi7eqTV3qc1sdYG1JIDqKs0ijbnepeWlob+/fu7zHfIWaDYpGkoSLYhCxcuxIwZMxAXF4f8/Hy89tprOHXqFC5cuACFQuHo4XUaLLn9TZ48GSkpKQ5z+2srwsCMydoJj2WtUVYiVMoQHgkzkwJnk85jJhVMCtAWwaxQjk+j0YDjOJNr5mzlPuYGNswsoz2yY4XqSgxLXQ61thoPzxuAD16bCKBxsyQrCWrO9IUzcng7fB3qqwwI6eKHJ89Osdp77ihMLUWlUvGlTNZWpLD0/Req0Yj9PmPN1xs2bEB6ejr27duHvn37Ii0tjVzvHADFJq2HgmQbcscdd+DPP/+EVquFQqHAqFGj8NZbb6Fr166OHlqnhbn9MS3mvLw83u1v6tSpotEftZRJYrJ29sgksZIEdlRcU1OD0NBQvsRAjOohzSkvMK1aW1+zsrIy/poxLWBnu2ZCq/GObiC377uG1AdWAwBWfDITqbf2MPm5JXm5phREvrp5B/JPlAAS4CX1LHj4OC4wFOpus2vGAmNbN8Ra8yTJlpDrnXih2KT1UJBMdFps7fbXVoQ1iWq1Gnq9XjQ1iSwoEJtMlXmtrE6n42XvHBmY2jr47OjYhIGprYP5lxfvxgdfH0FwoBcOrrsPsVGWdWxb0qLe/sxFnFmRDQD4+4EJCO8XbNVxNoewjl0or+joDRC7ZmzOYD0JbDNt701/U653s2bNwqxZs8j1jnA6KEgmCJi6/a1duxanTp3CiBEjkJqaihkzZthscmeuU8zYwhmc25jhAasvtbfhQVvd4MQAK2NgY2ZlDPbSqGa152wMAOxWFlJfb8DEO1fg6OkCDBsQha0/zoW7e8v3tXntd8G6elz9byUAYOY3g9HvDtsqXLTXqMeRNKVuw74bthgzud4RrgwFyS7Kn3/+icWLF+P48eMoKCjA2rVrMXPmTP7nHMfhtddew1dffYXS0lKMHDkSy5YtQ/fu3R03aJEgdPtbu3YtDh48iEGDBll0+2vPa5eXl/OLf2VlJYKCgkzsa51pQbGXda65ugRr/HJEtqyjsIY49n5sFeSbfzasJps1kdlzA3Y9pxTDZy5HVU09Ni2fg5uHtM20wGAw4MTqy/j9gXMAgJg5Phj0VEyT6hrtxXwz4cyNrCzIZ3MNK5lic01HToCMRiOOHj1q4no3adIkpKWlkevd/6A12DWgINlF2bx5M/bv34+BAwciLS2t0Rf03Xffxdtvv43vvvsOCQkJeOWVV3D27FlcuHBBNDVtYoDjOBQUFGDdunVYu3Yt9uzZg549eyIlJQWpqamtajgRLrwajYZ33HI1d0Cmw8wCDOZe15TkVXOw+l72WtXV1SZ1l65ihGIpW8mO8dsT/LHNhEqlQllZGV+uIAZb4993XkFosA+G3RTVrt8vzqrEJ322AAC6TVFi2LtR/EYzODiY32j4+vq26XXZyQTbTLDTHOYS6EwbsOZgZRlMK72tjpt6vR4HDhzAunXrsHHjRlRVVZHrXTPQGuwaUJDcCZBIJCZfUI7jEBkZiWeffRYLFy4EAJSVlSEsLAzLly/HHXfc4cDRihcm+r9+/XqsWbMG27dvR1xcHFJSUjBz5kz07duXDwQzMzNx48YNyGQylJSUwNvbm1+QXEkmrClYrTCrYzYajXwQI5fLLWZLzTcTTCmCbSbEeLxtTVizJguYKysrW9QWtqT5LGx8c6XF1mjg8LZyLfS1Rsh6BODxk5MANJjBCEuWWlPKUldXx1/n4uJi+Pn58Scgziyv1lqYwggLmoGG8ptr165h+PDhkMvlABqu0549e7Bu3Tps2rQJEokEKSkpmDVrFsaPH+9S95ctoTXYeaEguRNg/gXNyspC165dcfLkSfTv359/3i233IL+/fvjo48+csxAnQzm9rdmzRps3rwZAQEBCAsLg1qtRlFREW677Ta89tprvHtbZ0WYFVapVKitreWzpYGBgXwTWXFxMa8rywIcV99MNIe5E6DQJEaox2swGPjr2VFnO3tx4bIG//35NN57aRzc3FofkH4xfDsKz5RCIpXgJfVMuHuZbraEpSws+BNuGJhcn7CRUqlUtjn77Eqw72dRURHuuOMOXL16FXFxcQgICEBWVhYCAwNNXO9cfbNqC2gNdl7obu+EFBYWAgDCwsJMHg8LC+N/RrQODw8P+Pn5wcfHB5WVlfDy8kJJSQlkMhkCAwNx7do1REZGOnqYDkUikSA4OBjBwcHo2rUr1Go1cnJycPHiRRiNRri7uyMkJAQDBgxASEiIy2fxWouPjw9iY2MRGxuLmpoaXL9+HXl5ecjKygIA+Pv7IzY2FtHR0U4VuFRW6TDprhUoLq1FTGQA/jF/SKt/V5EUgMIzpeAMHIqvVELZy7T21d3dHWFhYQgLC4PBYEBhYSHy8vJQUFAAjuPg4eEBmUyGpKQkBAYGWvutOS3M7rlnz57Izs5GSUkJ9Ho9amtrERkZCR8fH7i5uYFyataB1mDnwXlmVoIQERkZGejTpw+6d++O6dOnY+3atRg2bBjc3d2h0+mwc+dOrFmzBvfff79Luf21B0uWxjKZDMnJyfD39+drck+cOIGAgAATpYzODDOpEJYEREZGQiaT8XW0N27cwLVr1/hsqTOUpfj7eWLR06Px5Gt/4LUlf2LM8Dj0Sw5r+RcByJP/CmzVl8obBclM3o6V+TBFitjYWPj4+PD34ZEjR/jMfGcpsRDCSsc2bdrUyPXulVde4V3vKioqsH37dmzYsAG33347AgMDkZmZ2amuFdG5EfdsStiE8PBwAEBRUREiIiL4x4uKikyOfoim6d69Oy5duoQuXbo0+pmnpycmT56MyZMnY+nSpbzb31NPPeWUbn/tQSjTptFoeIfA5ORkhISEmNQkBwYGIjY2Fjqdji/JyMrKgo+PT7vd3pwRoYGMWq1GRUUFb1KRlJTUqCRAqVSalLJcvXoVZ8+eNdGJdqS2dnPMn9MP2/Zew4btlzH/2Y3Y+9s98PVpuUxEkWQaJAOmrodM3k6hUCApKamRWkhQUBDi4+NN5OVu3LgBDw8PE6k0Vyzzac71bsmSJRabkAMCAniNY6PRiBs3brj899Ae0BrsPFBNciegqaaBhQsX4tlnnwXQUF+rVCqpacCGmLv95efnY8KECUhJSRGV2197ERpBMFMDFqwFBAS06b2x2lJm9yyVSvkMsys1PlpynBOqW7RV+YR9BqzuljkOijEzrymuxtCUb1GorsJDc/vjw0W3tvw7mRX4bMBWAECXqXL0eyUUGo0GHh4eJvdHW+41o9GI4uJifkPHTjpY/bczq8+Yu94dOXIEQ4cOxaxZs5CWltYhOUui9dAa7LxQkOyiVFZW4sqVKwCAAQMGYMmSJRg7dixCQ0MRGxuLd999F++8846J/MyZM2dIfsZONOf2N336dKcQ4GdH2ywjJ5Rps6ayAgtiWKaQqV7YwwjDFjAVD7YBAGBSLmGt91NXV8dLmxUXF8Pb29tEJ1kM99eO/deRMv8XAMDqZWmYOq5bk8+tq6tDUYEKy/sdBqcH/OLdMTO9N5RKZZs3YU1hSWFELE6JrUXoerd+/XqcPXuWXO8cAK3BrgEFyS7K7t27MXbs2EaP33vvvVi+fDkvZP7ll1+itLQUo0aNwtKlS9GjRw8HjLZz4yi3v/ZgST3AnjJtrLyA1ZzW1dWZuKCJVdlBWEpiruJhDy1e88BcIpHw183RLoUvvLMTn3x7DCkTu2Plp7NMflZdXc0HrGVlZQgMDMTBh9UovVwDNw8JXlLPgtTDdqcK5o6YbKMhNvUVo9GIc+fOYd26deR6JxJoDXYNKEgmCBHRlNtfamoqUlJSEB8fb/fFzryBzN6Wyk3RlK4wCz4dnY0xLz9hpQ+Odla0VOLBNjqOKC+o0+nx/a9ncf/t/SCVSvjPVKVSmeg+K5VKeHl54dd7DuH8b7kAgMdO3Ap5on1UKvR6PV+WIbT2dlTDpND1bsOGDSgqKjJxvXP28i2CEAMUJBN2oSWLzvvuuw/fffedye9MmjQJW7ZssfNIxYM13P7a+3crKir4YMBZjpxramr44IoFpSxgtseYmbEHC9pZ+QnLcjs6aLeEsFlQpVKZuNcplUq7OBsKFSmEQXtTpwO7/30Be966AAC4fcVwJKe2z8Gvo2NuyhHSlhs05nrHAuPKykpMmzYNaWlpnd71jtYYwhaQugVhF6qqqtCvXz/Mnz8faWlpFp8zefJkfPvtt/z/F2tnvr2QSCSIjIzEo48+igULFqC4uBjp6elYu3YtFi9e3KTbX3sQNi+p1Wro9XrI5XLExcU5jXW2j48P4uLiEBcXB51OxwddV65cga+vL9/YZa36VaBxvbTRaIRcLkfXrl2dQo5NIpEgICAAAQEB6NKlC39qoFKpcPnyZfj5+fEBsy2vG8dxUCgUiIvrgk9/uIi70iIQEaG0+LsmChcZ5UiG/YNkofZ39+7decvnoqIiZGRkdKhp1Rxz1zsASE1NxRdffEGudwJojSFsAWWSCbtj3ukLNOzyS0tLsW7dOoeNy5kQuv1t2bIFcrkcM2bMQGpqKoYMGdKqGlOhDJZWq4WHhwe/sIeEhIim3rKj6PV6voGNKSGwwK89Shnm8nauet0syfixzHx73qfwc9BqtbwsoPBzeO6tHVj6/XH07CHHn6vvho934xpz1YUyLBu8DQDQ5/YYpH071Crv11oIr5tWq4VUKjW5P1rz3ayursb27duRnp6OLVu2wM/PD6mpqZg9ezZGjx4t+s2Xo6E1hrAW9E0jRMPu3buhVCoREhKCcePG4c0334RMJnP0sERJYGAg5s6di7lz56K6uhpbt27FmjVr8Le//Q0+Pj6YPn06UlNTMXLkSJPj6tOnT8PX1xelpaUoKytDQEAAFAoFunTp4rKGCu7u7ggPD0d4eDiMRiPfeHjmzBkA4AO15hrYzC2i/fz8oFQqER8fb9UMq5jw8PBAREQEIiIiTE4azp8/D4PBYFLH3FTQZt6w6OPj0+x1e+6RYVi96SIuZGrwyvt/4v2Xxzd6TVm3AEikEnAGDupLFTZ57x3B/LoxA5OLFy/y8nJAw33H3DhZidOWLVuQnp6Obdu2ISwsDDNnzsSmTZswdOhQp1NxESO0xhBthTLJhN2xtMtftWoVfH19kZCQgKtXr+Kll16Cv78/Dh48SItDGxC6/aWnp0Ov12PQoEHQ6/W4dOkS1Go1vvzyS4wYMUK0dbL2wrwWVqfT8RrFMpkMdXV1Jk2BwcHBfCbVHrW6YoXVXrPg17wel+O4RrXhbdFq3ronC2kP/woAWPPlbZh0S2PDnk8HbIU2swLu3m54UTULblLxb1KE9d9ffPEFli5disTERMTGxqK6uhqHDx9Gt27dMHPmTMyePZt3vSPaDq0xhLWgTDIhCoTi6X369EHfvn3RtWtX7N69G+PHN84mEZbx9PTEiBEjUFlZierqamzYsAF79+4F0LBIT58+HZ6enggJCenUATLQsJCGhIQgJCQEPXr0QEVFBbKzs5GRkYH6+noADY5jkZGRiIiIEK28nL2RSCQICgpCUFAQunXrhqqqKuTm5uL69eu4dOkSgIb68PDwcPTu3bvNG4pJt3TBgrsHYtkPx/H3F3/HkQ33QykzDa4VSQHQZlZAX2tE6Y0qhHbxt9r7sxUSiQT+/v6orKxE165dMWTIEBw5cgS5ubmoqalBZGQkJk2ahFtvvbXDPQZEY2iNIdoDfQsJUdKlSxfI5XJejJ1oHa+++irkcjkWLVqEmJgYbNmyBRUVFaisrMSuXbvQtWtXvPbaa4iPj8fcuXOxatUqlJWVobMeKOn1ehQVFeH8+fM4fvw4tFotlEolkpOT0bVrV0ilUmRmZuLkyZO4fv06qqurHT1kUcCy8Oza5ObmIjAwEElJSUhMTIS/vz9u3LiB48ePIyMjAyUlJW26x9587hb07CGHWluNR/9vS6PftWRPLVY4jsP169fx8ccfY+LEiUhMTMTq1asxe/ZsXL58GWVlZSgrK8Mnn3yC8vJy3H777VAqlaS6YGNojSFaA5VbEHbH0lGYObm5uYiNjcW6deuQkpJiv8E5OWfOnIGfnx+6du3a5HOY2x+zx87MzMTYsWORkpLiNG5/HaGurs5E99nb25svo7Ck+8yez+pqWT2yUql02TpuS7D6WlZKYTQa+TIKS06BzMBEqCvcFmfBcxlq3Dz7e3h7SbFvzb3oGhfC/+zsz9lYM/8IAGD8v3pj1LNJVn63HaMjrnfMvj4hIQFhYWF2HrlrQGsMYS0oSCbsQnMWnaGhoXj99dcxe/ZshIeH4+rVq/jnP/+JiooKnD17lmR6bAjHccjIyODNS06dOoWRI0ciJSUFKSkpiIiIcIkgsKqqiq8vLi8vb7eGsiVlCxYw28M5z94wh0WmDCKVStulcMEyz2yzUVdXB5lMxgfNTUkMrt2SgUF9IxATaWoYUni6FF+M2A4A6DcvDjO/GtyxN2oFhK53GzZswNWrV8n1zo7QGkPYAgqSCbvQnEXnsmXLMHPmTJw8eRKlpaWIjIzErbfeijfeeIMyKXZEjG5/7UVo9qBSqVBbW2vSXGaNRdFgMJho/UokEpNMqbPWlJorUrBMu1KptIqLG8dxvBuhSqVCRUUFb1ajVCrh6+vb4mvU1xjwb8VagAMibwrBQ3sdU1NqNBpx7NgxPjAm1zvHQWsMYQsoSCYIohFCt781a9bgzz//tIvbX0dgQSs73mflAPawDRZaPatUKtTX15u4xold15ZJ3KlUKpSWliIgIIDPGPv727YpzpLtOfvbwiDzjz+zcOV6CR69ZyAA4OM+m1GSVQUPPyleLJwJiZt97kdyvSOIzgMFyQRBNAvHcSZuf9u3b0d8fDxmzJhhFbe/jmDJEIUFWO0xCrEGTPOW1e5WV1fzpQVKpVIU7oUsm8vGKJS4UyqVDlM+YYYjrJyFGXEUaCSY8eB6SKUS7Fx1Fwb1jcDKv+1H5u8FAIB/XJyC4FjbBaeWXO9SUlKQlpZGrncE4cJQkEy0G6PR6LRHygDw9ttvY82aNbh06RJ8fHwwYsQIvPvuu0hMTOSfU1tbi2effRarVq1CXV0dJk2ahKVLl3bqI7ry8nJs3LgRa9euNXH7mzlzJgYPHmxzzVHzrCezABZrI52wtKC8vBxBQUF8MGpPvWWmb8wC49raWl4XWi6XiyJ4FyI04igqKsLbX2Ri7/ESxEcHYP+ae3Hs/avYvyQDADBvzUh0nxRh1b8vdL3bvHkz/P39yfXuf9DcSXQWKEgm2oxOpxPdgtoeJk+ejDvuuAODBw+GXq/HSy+9hHPnzuHChQv8kemCBQuwadMmLF++HEFBQXj88cfh5uaG/fv3O3j04kDo9rdp06Zm3f7aC8vMskCzqqoKISEhfCmFMxl7mJcW2FopQ6hIoVarYTAY+Osml8udxkSB4zjk5Glwy+0rodLWYsrNctyd0AWn/q0BAEz8d1+M+EePDv+Nplzv0tLSMGzYMKe5XraG5k6is0BBMtFmvvnmG3z//ff45ptv0K1bt0Y/d9YMs1qthlKpxJ49ezB69GiUlZVBoVBgxYoVuO222wAAly5dQnJyMg4ePIhhw4Y5eMTiQqfTYceOHbzbn9FoxPTp05GSkoKxY8e2qVlOmEVUq9V8jS8L7lzB2IMpZTDlCC8vLz5gtiRF11qY9BoLjN3c3PjXbYsihRjZeeA6Ztz/CwDgwweGIv/1Bmm5qMm+GLc4ia+hbu21Y6VEmzZtwvr167Fz50506dIFs2bNIte7NuBqcyfHcVi5ciUGDBiA5ORkRw+HcCAUJBPtIiQkBN999x1SUlJgMBgglUrBcZzojrrbwpUrV9C9e3ecPXsWvXv3xs6dOzF+/HiUlJQgODiYf15cXByeeuopPP30044brMjR6/XYt28fr8VcUVGBSZMmITU1FRMnTrTY3GRej8qCO4VCgdDQUJcOVsw1hZlShlKpbNV7r6+v5zPtWq22Re1nZ+a5t3Zg6ffHERnij7vOKgEAyv7+GLE0AhqNBp6ens3WpXMch8LCQmzYsAHr16/H3r170bdvX8yaNQtpaWlITk52qetlD1xx7nzwwQdRUFCAhQsXYuzYsU6b/CE6BgXJRJvR6/V44IEHIJFIsHz5cv7xxYsX47PPPkN6ejr69evnuAG2A6PRiJSUFJSWlmLfvn0AgBUrVuD+++9HXV2dyXOHDBmCsWPH4t1333XEUJ0Oo9GIw4cPY82aNVi3bh3y8/MxYcIEpKamonfv3ti8eTM2b96MXr16Ye7cuXxw2Fnls5hSBqsdNhgMvFKGUKWDlW6oVCqUlJTA39+fzxj7+fm57LWrqa3HzbO/x8UrWrxTEQJdmRvqA2V4/uQwcDU10Pr785uNf//73wgMDMT06dMxcOBA7Ny5E+vXr8eRI0cwdOhQPjBOSEhw2etla1x17qyoqMDixYuxevVqnD592iVKDIm203k7D4h2YTQa4e7ujsGDB2PZsmUAgJycHLz33ntYsWIF3n77bfTq1cvBo2w7jz32GM6dO8dP8oT1cHNzw/DhwzF8+HC88847WLduHT799FM8/vjjqKmpQUBAAEaOHIl58+Zh2LBhnT5YcXNz4w0QEhMTUV5eDrVajatXr+Ls2bPw8fGB0WhEbW0tQkJCoFQq0bNnT6eqze4IPt4e+Ob96SjZtg8TX/47auGB1eUPwnvIP+BWWwP3zZuhGDgQRqMR8+bNw9dff41//OMfqK+vh0wmw6233orPPvsM/fv37/T3mjVw9rnTaDSC47hG9eYBAQFYtGgRfvjhB7z66qt48cUXERQU5KBREo6Czg6INsGOm6ZMmQKJRIL33nsP999/P86cOYNffvkFDz/8sNN1fT/++OPYuHEjdu3ahejoaP7x8PBw6HQ6lJaWmjy/qKgI4eHhdh6lc5OVlYWFCxciKSkJd911FwIDA/HJJ59g7969eOGFF6DRaDB58mRMmzYNn3/+OfLz80GHXERT9Perw5Q3F0BqrIMvKjEfS+BWUgLU1sJj0iR8snAhhg4diqeeegphYWFYtmwZ9u/fj4ULF+LatWsYPHgwRo0ahffeew/V1dWOfjtOi9jnzqbmEIPBwP+3m5sbHyBrNBr+8fr6eri5ueGFF17A7t27sX37dtsOlhAlVG5BtJs+ffrg/PnzePTRR/H6669DJpN1+DWNRiMkEoldMjwcx+GJJ57A2rVrsXv3bnTv3t3k56z5ZOXKlZg9ezYAICMjA0lJSU7RfCImTp48iY8//rjJmmRzt79Dhw5h0KBBvD22M7n9dRQqt2gFRUXwGToU0BZDYvwr4NEDKAbwwtSpGDd3LqZPn26xJpvVJG/btg0rVqxwuo29o3GGuTMjI8NEkq6ptaW4uBgLFy7EL7/8goEDB+KOO+7AggULoNfr4e7ujqKiItx7772IjY3Fl19+afNxE+KCgmSiTbDmvJycHCxcuBAGgwG//vpri89vCtYMUVJSAk9PT7u6VT366KNYsWIF0tPTTSbToKAg/uh6wYIF+P3337F8+XIEBgbiiSeeAAAcOHDAbuPsbDTl9sfsscXo9tdRhIoUGo2GGvdaQK/XI/OjjzDo1Vcb/ax2zRp4z5rlgFF1HsQ+d/7888/45Zdf8MUXX0Aul5v8TKfT4YcffsCVK1dw++23Q6vVIj09HWlpadi0aROWLFmCM2fOoHfv3vzvvPDCCzh+/Dg+//xzdO3a1ebjJ8QDBclEm2BB78aNG/HSSy/hhRdewLx583iFi6Zgx1vmz2Gvt2TJEjz//PN47rnn8MorrzSqr7SFckZTr/ftt9/ivvvuA/CXIP7KlStNBPGp3MI+NOX2x+yxHen211HsJQHHXOucXQKOud6lp6fjyIYN2FVcDBkAqXAJk0oBmQw4cwYg0wqbIda5kyVdnn/+eVy/fh0///wz9Ho93Nzc8Mcff6CsrAw7d+7Evn37EBISglOnTqFnz5748ssv0b9/fwBAcnIyJk2ahHfffZeXrfzhhx+wdOlS/Oc//8GIESNsNn5CfFCQTLSLd955Bz/++CN2797daKfOAtpDhw4hNzcXU6ZMaTZDrNfr8cgjj2DVqlUIDQ3FhQsX4O/vD6Dh2K66uhoRERFOLzFHdBxHu/11lLq6Or6MoqSkhMxEWsDc9c7Pzw+pqam46+abMfzhhyGpqQEHQGIwNATIAODjA5w7B8TFOXTshHVhoUpL3xGj0YjXX38dubm5+Oabb/jHhw0bhhs3bmDWrFlYsmQJ3N3dMXXqVOTk5OD3339HQkICAODNN9/E8uXLsWvXLsTExABo0HgeMWIEDhw4gKSkJBu9Q0KMOGdKgXAo169fx86dO5GYmAi5XN6oOYJNYlVVVXjvvfcQGRmJxMREZGVlmTyP/d6pU6egVqsxaNAgeHp6orKykn/Ohg0bEBUVhaqqKgqQCQQGBmLevHlYvXo1ioqKsGTJEpSUlOC2225DUlISnn76aezZswf19fWOHipPVVUVrl+/jiNHjmDv3r0oLCyEXC7HyJEjMXz4cHTt2hUBAQE2ub/d3Nwgk8mQnJyMm2++GTfddBO8vLxw5coV7N69G6dOnUJ+fr6orld5eTl++eUX3HnnnYiPj8f//d//ITIyEps2bUJ2djaWLl2KEXPnQrJzJ+DjA4lMBvz+e0MG2ccH2LmTAmQXRFhPbDQaYTQaLT7Pzc0Np0+fhlKphE6n49eZuXPnoqqqCkOGDIG3tzfc3d3x8MMPo76+HteuXeN//5577kFWVhYuXLjAPxYXFwej0YiqqiobvkNCjFC3AtFmfH190bt3b/Tp0wdAw4RlKSM1fvx4HD58GBcuXEB6ejq/Kzfn6NGjUKlUuPvuu7FixQr88ccfuOeee1BVVYU///wTAwYMgJ+fn0lJh8FggJubGwXOnRhfX1/MmjULs2bNMnH7u/fee3m3v9TUVIwZM6ZNbn8dhdkbs4xxdXU1ZDIZIiMj0a9fP7uORYhEIkFQUBCCgoLQrVs3VFVVQaVSIScnBxcuXOCtvpVKJby9ve02ruZc715++WUMGDDAconI4MENGWNv74bSijNngNpaCpBdlJKSEixYsAAvvPACXxphDlsjgoKCcO7cOXh6evKPjRw5EjExMdBqtfzzJ02ahGeffRYnT57EmDFj4ObmhtjYWHTv3h3bt2/n546MjAySp+ykUCaZaDNKpRJLlizB/fffD6BxnbEQiUSCXr164aWXXmpkJSyRSMBxHE6cOIHAwEA8+OCD0Gg0qK2tBdDQgb5582bcdddd/PMZUqmU/31X4u2338bgwYMREBAApVKJmTNnIiMjw+Q5Y8aM4bMq7N8jjzzioBGLA09PT0yZMgVfffUV8vPz8euvv8Lf3x9PPvkkEhISMH/+fKxbt85mmSAW6GVkZGDfvn04duwYqqur0aVLF4wZMwYDBgxAdHS0wwJkcyQSCfz9/dGlSxcMHToUo0aNgkKhgEqlwr59+3D48GFcu3bN5FTHmrDmzC+//BIzZsxAly5d8OWXX2LEiBE4ceIEzp8/j7feegsDBw5svoY6Lu6v2uOwMJcLkDv7fMA0jIEGl9cdO3Zgy5YtOHHiBJ555hn8/vvvAP46lWT3yujRo3Ho0CFwHMc/NmjQIERFReHSpUv8PBAQEICbbroJhw8fRmFhIf93J06ciFWrVqGkpAQAUFpaisLCwiaDc8J1oZpkos1wHGcy+bT3NSQSCc6fP48nn3wSAwcOxHvvvYcHHngA1dXVWLlyJTZs2IDU1FQUFhZCqWywnz106BA2bdqEkJAQ3HXXXfzjll67tY+LicmTJ+OOO+7A4MGDodfr8dJLL+HcuXO4cOECX9c9ZswY9OjRA//617/43/P19UVgYKCjhi1amnP7mzJlSodc/QwGA4qLi/l6XwC8ooRMJnPaBjmdTsc3FAqVMjrqgshxHLKzs5Genm7iejdz5kzMnj2bXO8s0BnnA47jLJ5OarVa9OnTB+Xl5TAajZgyZQpeeeUVi4HrmTNnMHDgQOzduxfDhg3js8mvvPIK9u7di8WLF2Pw4MEAgO+++w4vvPACvv/+e0ycOBFAgyxceXk54uPjATQYZu3fvx933HGHTd87IT6o3IJoM9bQMRY291VVVfEdw2FhYdizZw8AYP369ejRoweUSiUqKyvx008/4dFHH8WMGTOQm5uLxYsX4z//+Q/mzZvXaHxAQ0MgyzgLHxczW7ZsMfn/y5cvh1KpxPHjxzF69Gj+cV9fX1LYaAVCt793330Xp0+fxpo1a7BkyRIsWLAAY8eORWpqKqZNmwaZTNbiPcIUKdRqNTQaDTw8PKBUKtGvXz8EBwc7xT3WEp6enoiMjERkZCT0ej2vlHHixAlIpVJ+I9AapQyO45CZmYn169cjPT0dZ8+exc0334x58+bhl19+QVRUlEtcM1vRGecDiUTCB8g7duzAgQMHMG3aNERGRiIuLg5Hjx7FsWPHms3qJicnY/jw4fjss89MGnonTZqErVu34vjx43yQPGPGDKxZs8Yk4cIcLxnR0dEUIHdSnDPVQTg9bHE9deoUgoODMWrUKADAgAEDUFNTg127dpns3H/77TcsXboUr7zyCtatW4djx45h/vz5ePvtt1FWVgagIWu4bNky/ojY3d2dX4CfffZZvhGDHZ4IXZfECntvwgkbAH766SfI5XL07t0bL774IrmGtQI3NzcMGDAAb7zxBs6ePYvTp09j9OjR+Oabb9C1a9cm3f6ys7Px559/4sSJE9izZw+uX78OPz8/3rUtMTERISEhLhnsubu7IywsDH369MEtt9yCXr16geM4nDt3Dnv27MG5c+ewfft2VFRU8L9jNBpx5swZvPHGGxgyZAiGDRuGw4cP47HHHkN+fj527NiBxx9/HNHR0S55zWyJs80HLCtsCYPB0OQcvHTpUkRHR+Ouu+7C+fPnce7cOYSEhODgwYMIDw/Htm3bmv27Hh4eeP7557Fjxw6T5w4bNgy1tbU4efIkdDodgIZrmZ6ejn79+jX5enSfdl6o3IJwGBcvXsSdd96JIUOG4PPPPwcA5OXlIT4+Hu+//z6eeeYZXLlyBQkJCZg5cyZ8fX3x3nvv8fanu3fvxoIFC/DBBx9g8uTJ2LJlC6ZOnYr/+7//Q05ODhQKBRYsWABvb29ER0fj2LFjuOmmm1BfXw8PDw+89dZbuHHjBt58802LZRuOxmg0IiUlBaWlpdi3bx//+Jdffom4uDhERkbizJkzeP755zFkyBCsWbPGgaN1XjiOw/Xr1/mSjEOHDqF3794IDQ1Fbm4ubzrwyiuvQKlUwtfX19FDdjgcx6GsrAxFRUWYM2cObty4gV69eiE0NBRXrlyBWq3GpEmTkJaW1qTrHdE2nGU+aKpcgv0MaD7ozMvLw5w5czBz5kwsXLgQAFBZWcnLgv7973/H6dOnsXfv3kZ9LuY89NBDuH79On788UeE/a92/cSJE0hOTm6kxc80lglCCJVbEA4jJiYGTz31FCIjI/nHJBIJBg0ahLfffhvJyclISEhAcXEx8vLyMGPGDERERPDP9ff3R0FBAR+0sCaOixcvYvTo0cjMzMQ//vEPbNq0CaGhodBoNAAasgxVVVU4d+4cSkpKEBISYsd33Xoee+wxnDt3zmRBBICHH36Y/+8+ffogIiIC48ePx9WrV8kNqh1IJBLEx8dj/PjxKCsrg1arxdmzZxEYGIiysjIkJiaiR48eqK2tbbSwdlZY49+ZM2cwduxYrFmzBufPn4evry8qKiowevRoTJgwAWPHjkVwcLCjh+sSOMt8ICyXOHr0KL766itkZWVh+/btfHCs0+mwatUqrFixAvX19bjtttswffp0xMTEYN++fSgpKUGfPn3AcRyysrL42mAAmDNnDr799ltkZ2ejS5cuzfaf/Pvf/8b999+PZ555Bu+++y6io6Nx0003WRw3BciEJeiuIByGv78/7rnnHkyYMAFAw04+MjISYWFhUKlUmDt3Lv94cHAwKisr+cmX4zgcPXoUBoOBr837448/cPvtt+O///0vnnzySXz88cdYvXo1EhISIJfLMXv2bCiVSpw4cQIXLlxAXl4exo4dy2cjDAaDaNQyHn/8cWzcuBG7du3iM+dNMXToUADAlStX7DE0l+PcuXPo2rUrRo0ahYsXL+Lll1+GVqvla3EXLlyI48ePY8SIERg0aBBef/11nDp1qsljZFdGp9Nh27ZteOyxx9CtWzfcfffd0Ov1WL58OcrKylBSUoIrV64gJSUFP//8M+Li4nDzzTc7RWmTmHGm+eDIkSO4++67ERwcjHHjxkGtVuOpp57i59bs7Gw8/PDD+M9//sOXLH355Ze8IsfQoUMxcOBAzJw5E4MGDcJzzz2HPn364PHHH0dFRQXGjRuH4OBgrF69mg+QhSV3wF/KSQqFAp988gl69eplFztswgXhCMKBGI3GRo8VFxdzn3zyCVdYWMg/Nn/+fG7kyJFcaWkpx3Ect3XrVm7EiBHcnXfeyXEcx/3xxx9cTEwM99tvv5m8blZWFieVSrmjR49yHMdxBw4c4Gpra7nPPvuMGzNmDLdy5UouIyPDpu+xLRiNRu6xxx7jIiMjuczMzFb9zr59+zgA3OnTp208OtekqqqKW79+PVddXd3s88rKyriffvqJu+222zh/f38uPj6ee/LJJ7kdO3Zw5eXlXFVVlUv+U6vV3MqVK7m5c+dyQUFBXGRkJLdgwQJux44dXH19fbPXTKVScZs2bbLmx9WpcLb5ID09nfPz8+MGDRrEHThwwOJ3Kicnh/vkk0+4kpIS/rGff/6Zk0gk3IULFziO47iioiJu8+bN3ObNm7mffvqJW7x4MRcdHc19+OGHHMdx3FNPPcXFxsZykydP5qKjo7lXXnml2XEZDAaLaw1BtATVJBNOQUZGBubOnYuKigqMGjUKGzZswIQJE/Daa68hOTkZjzzyCDIzM/H555+jR48efH3Zhx9+iMWLF/ONH0BDNmz+/PnYtm0bJk6ciEuXLuHq1at488038eijjzZZL8f97wivoKAApaWlSE5Otvr7fPTRR7FixQqkp6cjMTGRfzwoKAg+Pj64evUqVqxYgalTp0Imk+HMmTN4+umnER0dzauCELanuroaW7Zswdq1a7Fp0yb4+Phg+vTpmDlzJkaOHAl3d+euZCsvL8eWLVuQnp6Obdu28Rq9s2fPxrBhw0RvZ+0qOMt8wAkkPZ999ln06dMHixcvbvL59fX1KCkpwaeffoqffvoJ5eXl0Gq1WLRoEV599dVGzy8qKsLEiRNx++234+WXX0Z5eTl+++03nD59GtOnT+dPIwnC2lCQTIgSzoKmcV1dHVauXIlDhw5hxIgRuO222/h65L59+2LGjBl4+eWX4ePjw//+iBEj0LNnT3z99df8YydOnMD999+PiIgI/Oc//0HPnj3xzjvvYPny5Thw4ABkMlmT4ykpKcG9994Lf39/vPvuu026CLaXpgL0b7/9Fvfddx9ycnJw11134dy5c6iqqkJMTAzvTOasuqjOTl1dHXbu3Ik1a9YgPT0dHMdh2rRpDnH7ay9cM653aWlpTbveETbF2eaD2tpavPzyy9i/fz8OHjwIAFi9ejW+/fZbeHh44PPPP0dERATq6urw+OOPIzMzEw899BCmTZuGV199FXv37sWhQ4cANPSYREZG4sqVK1ixYgV0Oh1+/vlni/MzQdgK5053EC6L+eLAcRy8vLxw33334b777jP52ZEjR5CZmYlevXrxjVUsoD1+/Dhef/11k+fv378fXl5eeO6559CrVy8AQFJSEjiOw9mzZzFmzBiL4+E4Ds8++yzq6+uxbNkyBAUFAbBuV3RLe9aYmBjKGIsMLy8vTJkyBVOmTMGyZcuwb98+/Prrr3jyySdRUVGByZMnIyUlBRMnTuQNIMQAx3EoLCzExo0bkZ6ejr1796JPnz6YNWsW3n//fSQnJ5MihYOx53zAWcEkytvbGwMGDMDatWvRt29f5ObmQqFQ4NZbb8W9997Lqwjt3bsX33//PXbs2IFRo0ahvr4epaWluHr1KjIzM9G3b18cPnwYW7duRWVlJWbMmIEnnniiUYDMtUItgyA6AgXJhFPAJkHzSZHjOAwZMgQHDhzglS+Yu9KZM2dgNBr5RheJRAKDwYCTJ09CqVTyDS4AUFBQgJCQEF5myFIme9myZdi5cyfWrVuHoKAg/jlsUTEajVYxWiGcF3d3d4wZMwZjxozBxx9/jMOHD+O3337Dq6++ioceeggTJ05ESkpKh93+2gsncL3bsGEDjhw5giFDhmDmzJn4+uuvyfWuE8PmLp1OB09Pzzb/PpsP+/bti9jYWJSVleH48eOIiIiAt7e3yXNDQkJQX1/Pl+0cO3YMlZWVqKqqwm+//Ya+ffviySefxNNPP92sSQrdq4StofMzwqkwD0LZf9900018kMwm3ujoaAwbNgz/+Mc/sGvXLgANSgbZ2dno27cvHxDX1NTg7Nmz8Pf3x4ABA0xelwXlZ8+exUcffYSHHnoI/fv3h16vh0QiwenTp6FSqQA0SAi58qS9bNky9O3bF4GBgQgMDMTw4cOxefNm/ue1tbV47LHHIJPJ4O/vj9mzZ6OoqMiBI3YszO3v/fffR2ZmJvbt24c+ffpgyZIliI+Px+zZs/Hdd99Bo9HYVFWF+5/r3eLFi3HzzTejb9+++OOPP3DHHXfg2rVr2LdvH5577rkm5bQ6A53t3mb3m/l9N2fOHDz//PPQ6/VN/m5TJiDs3unSpQv69u0LHx8fJCQkwNvbG0aj0eRvDRw4EGPHjsU999yDxMREzJgxA3fddRcOHDiAxx9/HAAQFRWF8PDwZg1JCMLWUJBMuCxdu3bF559/jsjISDzxxBMoKCjA/v37UVRUhFtuuYV/3sWLF5GRkYEhQ4ZAKpWaTMhs4t+xYwdqa2uxYMECAH8tLnfccQfmz5+Pb775Bm+99RYyMzNNfg402GObL0a1tbW2edM2JDo6Gu+88w6OHz+OY8eOYdy4cUhNTcX58+cBAE8//TQ2bNiA1atXY8+ePcjPz0daWpqDRy0OWuP298UXXzRy+2sv5q53Q4cObeR698QTT5Dr3f/obPe2RCJBcXEx/9kbjUZoNBrs3bsXt9xyC9zd3ZsMTKVSKaRSKaqrq3nXOiF+fn4YMGAAtFotL7vGEgiXL1/Gzp07AQA//PAD/vWvf+Ef//gHLly4wDeFKhSKRmOlenjCYdhSOoMgxMb69eu5+fPnm8gPff3119zgwYO5HTt2cBzXIBckpKCggJszZw6XlpbGcRzH6fV6juM4rqamhvP09OSUSiX38ssvc1OnTuUCAgL41ykqKrI4hrKyMu6RRx7hvvrqK2u/PbsTEhLCff3111xpaSnn4eHBrV69mv/ZxYsXOQDcwYMHHThCcWM0GrmsrCzu/fff50aOHMlJpVJu2LBh3L///W/u3LlzXGVlZaul2ioqKrhdu3ZxTz31FNelSxfO19eXmzVrFvfDDz9wJSUlJIHVRlz53n7rrbe46OhobvHixZxOp+M4juP++9//cgkJCVx5eXmjOZBRU1PDffbZZ9ywYcM4iUTC7d271+Tn7B47fvw4N3bsWG7RokWcSqXiXnzxRS4xMZGTSCTcrFmzLL52U3+TIBwJBcmES2M0Gvmg1hL19fXcgw8+yPXq1Yurqamx+Jzr169zvXr14j777DOO4zj+ecuXL+d8fX35xbO2tpabPn06N2HCBG7x4sXcuHHjuMjISO7999/nx8D+d86cOdxLL73EcZxzLg56vZ5buXIl5+npyZ0/f57bsWMHB8Bk88FxHBcbG8stWbLEMYN0MoxGI5eXl8d9+umn3Pjx4zkPDw+uf//+3KuvvsodP37cYsBcVlbGbd68mXvkkUe46OhoLigoiJs7dy63evVqrqKiwtFvySnpDPd2eXk5980333AxMTHc3LlzOb1ezz311FPc5MmTm/29LVu2cKmpqdwbb7zRrA5zWVkZd/fdd3MSiYSTSqXciBEjuK+//tqibjJt3ggxQ417hEsjtEgFGitRuLu745133sH58+f52jnzoz1/f39kZGTwqhfs58uXL8eUKVMwceJEAA0qB1FRUfjll18wbtw4/Pjjj1i5ciW++OILTJs2DUlJSfxYEhISUFlZ2e4mGUdx9uxZDB8+HLW1tfD398fatWvRs2dPnDp1Cp6eno0siMPCwlBYWOiYwToZEokEkZGReOyxx/Doo49Cq9Vi/fr1WLNmDd59910kJCQgJSUF06dPh1arRXp6OjZt2gSO45CSkoJly5ZhwoQJjZqkiNbRme7tgIAAzJ8/H3369MHs2bORmpqKnTt3Yvny5QCaVuyZMGECJk2a1OLrBwYG4v7778fdd9+N8ePHm7yW+WtTuQ8hZihIJjoVliZ+mUzGW1sLf879r1s7OzsbERER8Pf3B8dx8PT0hNFoxL59+/DVV1/xeqRGoxF//PEH/v73v+Of//wnpFIppk6dik8//RTbtm1DUlISv0D4+/tjz549ThUgA0BiYiJOnTqFsrIy/Prrr7j33ntJks4GSCQSyOVyzJ8/H/Pnz0dZWRk2bdqENWvWYOzYsfD398e8efOwcuVKjB49mrdWJ9pPZ7u3jUYjBg8ejN27d+O1115DbW0t8vPzATTMg5YC5baYyIwdO9bkb7Gma6ovJpwJCpIJoglYhsPHxwd9+vTB9evXERsbCwD47bffEBQUhCFDhvDPO336NG7cuIE5c+bwi4mbmxuKiorQv39/AA1OU15eXjh9+jQvTWdNnWVb4+npiW7dugFo6FA/evQoPvroI8yZMwc6nQ6lpaUmGbeioqJmJZyI1hEUFIR58+Zh3rx5yM7ORlBQEK/TTViHznZvszknISEBwcHBCAkJweLFi6FSqfDvf//bqnOSs8xvBGEO3bkE0QJJSUk4d+6cSbf3+++/j549eyIqKop/7LfffkNiYqKJfez+/fsBAMOHDwcA3n3t2LFj6Nevn1MFyJYwGo2oq6vDwIED4eHhgR07dvA/y8jIQHZ2Nv/eCesQGxtLAbId6Cz3tk6nw4oVK7B69Wq8++67+OKLLzB//nxcu3bN0UMjCIdDmWSCaIH6+nq8+uqrJlmkRYsWwcvLCwEBAfxjK1euxNy5c3nXv9raWqxbtw7jxo2Du7s76uvr4eHhgXPnzqGmpgbJyclOFSC/+OKLmDJlCmJjY1FRUYEVK1Zg9+7d2Lp1K4KCgvDAAw/gmWeeQWhoKAIDA/HEE09g+PDhGDZsmKOHThDN0pnv7T179iAkJAQymQzjxo1DREQE3njjDUybNg2vvfYa5syZ4/SbeYJoLxQkE0QLeHh4YP78+airq+MfmzJlislz8vPzUVZWhsmTJ5s8duDAASxduhTAX+UbX3/9NaKjo3lLbGdBpVLhnnvuQUFBAYKCgtC3b19s3bqVb1z84IMP4ObmhtmzZ6Ourg6TJk3i3ztBiJnOeG+znov9+/cjNDSUP9kaP348+vXrh5dffhnl5eUAqFyC6LxIOM6GVk8E4aJwFmyrAdP64m+//RYPPPAAKioq4OfnBwDIzc1Fr169sHjxYjz00EPU2U0QhMOoqanBoEGDMH/+fDz77LMAmp7bCKIzQttDgmgH5osIq1cWZlzGjBmDzz//nA+Q1Wo13n//fSQkJODhhx+mhYggCIdSWlqKmJgYTJs2jX9MOC+RHTTR2aFMMkHYiQULFiA3NxdPPfUUxo8fT3V+BEEQBCFiaIUmCBsh3H/u3bsXKpUKb7zxBsaPHw+A6vysybJly9C3b18EBgYiMDAQw4cPx+bNm/mfjxkzhtdpZf8eeeQRB46480GfkXihjDFBWIYyyQRhB+rr61FXVwd/f39HD8Ul2bBhA6RSKbp37w6O4/Ddd99h8eLFOHnyJHr16oUxY8agR48e+Ne//sX/jq+vL28EQ9ge+owIgnA2SN2CIOyAh4cHuaLZkBkzZpj8/7feegvLli3DoUOHeBURX19fpzZ/cHboMyIIwtmg816CIFwKg8GAVatWoaqqysTs4aeffoJcLkfv3r3x4osvorq62oGj7NzQZ0QQhDNAmWSCIFyCs2fPYvjw4aitrYW/vz/Wrl2Lnj17AgDmzZuHuLg4REZG4syZM3j++eeRkZGBNWvWOHjUnQv6jAiCcCaoJpkgCJdAp9MhOzsbZWVl+PXXX/H1119jz549fBAmZOfOnRg/fjyuXLmCrl27OmC0nRP6jAiCcCYoSCYIwiWZMGECunbtii+++KLRz6qqquDv748tW7Zg0qRJDhgdAdBnRBCEuKGaZIIgXBKj0WhiJS7k1KlTAICIiAg7jogwhz4jgiDEDNUkEwTh9Lz44ouYMmUKYmNjUVFRgRUrVmD37t3YunUrrl69ihUrVmDq1KmQyWQ4c+YMnn76aYwePRp9+/Z19NA7DfQZEQThbFCQTBCE06NSqXDPPfegoKAAQUFB6Nu3L7Zu3YqJEyciJycH27dvx4cffoiqqirExMRg9uzZePnllx097E4FfUYEQTgbVJNMEARBEARBEGZQTTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmEFBMkEQBEEQBEGYQUEyQRAEQRAEQZhBQTJBEARBEARBmPH/QCLnHi68oqgAAAAASUVORK5CYII=", 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SyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiAIgiAIggiCRDJBEARBEARBBEEimSAIgiAIgiCCIJFMEARBEARBEEGQSCYIgiAIgiCIIEgkEwRBEARBEEQQJJIJgiAIgiAIIggSyQRBEARBEAQRBIlkgiCIBEEQBPh8PgiCEG9TCIIgjnqU8TaAIAiC6I4gCKIo9vv98Pl88Hq9qKqqQkpKCgoKCiCTySCXyyGXyyGTySCTyeJtNkEQxFEDiWSCIAgO8Pv9ohhmgtjv94tiGQDkcjkOHz4Mr9eLvLw8CIIQIIyZYJaKZhLOBEEQA4NEMkEQRIwJFsTsTyqIg73EUthzAMTXC4IgfiYJZ4IgiMFDIpkgCCKKsJCJUIKYPS8VxAD6JWLZa6Xv6U04s2NJ/0vCmSAIojskkgmCICKENIbY6/X26SFm/440fQlnn8/X7fUknAmCIAIhkUwQBDEAgpPqWBwxE8RSoapQKMT/jxcDFc7BopmEM0EQxwokkgmCIPpAGrYg/WOJdbwJ4nAJRzhLxTMJZ4IgjiVIJBMEQUiQCmIWMsES7aQhE8GhCUcLAxHOAKBQKChUgyCIowoSyQRBHLNIBbE0jtjv9wMAqqurIQgCysvLj0pBHC59Ceeff/4Zw4cPR2pqasANhDTOOfj9BEEQvEMimSCIYwImiEN5idnzwR5ihUIBv98vhlAQRwgWzsFl6dgYs+dIOBMEkWiQSCYI4qgjWBBLm3Ow58MNmaAW0OEhHcOePM5MNEtfT8KZIAheIZFMEERC05MglpZdAxCWICYiz2CEM50vgiDiCYlkgiASBiZ8pTHETBD7/f4AQSYVxQRfhCuc2fNSTzMJZ4IgYgWJZIIguCRYEEtDJljYhLSSglKpJOGUwAQLZ+kuQHBlEYCEM0EQ0YdEMkEQcac3QSwNm2BiKFaCmERX/JCOPQlngiDiAYlkgiBiTnAMscvlQn19PbKzs8XXBLdJJvglVsmNvQlnFnLDkjKdTiesVityc3NDNkAhCILoCxLJBEFElWBBzP6k4sbtdmP37t3Izc3lrtwaVbcIj3gJz57im9vb27F3715kZ2fD5/OFjFcn4UwQRG+QSCYIImIcsBzE2+sX49/bv4FOpcOorGEYkTEUIzKGoiK9HGqFKkCgAF2iJXjbnCAGQ0+1m9l/WWiP296Glm1b0bJ9K1q2b0PLjm1QGwwYftmVGHruhdAYDHH7DgRBxB8SyQRBDIjgGOJXV7+NO795CAKOeF6X164U///Ty17H7LITAABVzXtwoK0eo7MqkKlLj7ntxLGF4PfDVrMXh7dtQeGsU6H+n/hd/+xT2PTSC91ef2DpT/jpd7fi4h9WIGPU6ABvM93IEcSxA4lkgiD6JFgQB9cilslkmJQzFgIEHFc4BRePOgtKhRLbGiuxrbESWxsrMTp7uPh572/5N5779VUAQKE5Hy/Pe0o8DkFEki3/fBkrH3sAHrsdAHDul98h//iTAAAZo8fCkF+AtFFjkD5qNNKGj4R1bzUqP3gXXocDxrJyeDwe8bN6CtMg4UwQRyckkgmCCIAlQAXHEEurCQgQ8NbGj1BnP4SHZt0NmUyGsbkjsf225cg35YT8TKmQMGkNGJpWij2ttdhvrcOlH9+IB4bdipNwUsy+ZziQ+AkPHm9uBEHA4a8/x8aX/wYAUGi1SBs+EoKkecnQiy/DsEsu7/beSXfeA8ehg1CqVAAAr9OJ766/EuNuvgM502bA5/OJryXhTBBHLySSCeIYJhxBHNyYw+K04bpP78CSvb8AAM6umIOJeWMBIKRAZp8hZeFxN2DhcTegzWXHpR/cgF/2r8XDO/6G6VOmYXTOiCh+4/7DowDkEd5EYc0nH+LA/wTypDvvwZQ/PAB5UFJoTzbLZDLo8/LFf2966QXUfPMVar79GhNuvxPT//QIIKmuwX430veTcCaIxEcebwMIgogNYrKS2w2n04n29na0tbWhra0NDocDnZ2d8Hg8EAQBcrkcSqUSKpUKSqUSCoUCcrkch+wNmPvmZViy9xckKbV4es79GJ87esA2GTUGfHjpPzExdwzavQ6ct+g61Fj2R/BbE8cie774DOvuvwcAMPam2zD1jw91E8j9YfT/uxHDr5wPCAI2PP8sfrjxOvi93h5baLPfmsfjgcvlEv/cbje8Xq9Y3YVuwAiCb8iTTBBHIcxDLG3M4fP5YLFY0NbWhvz8/G4e4r68XLsOV+O8965FXVs9cg1Z+OTy1zEic+igbTVo9Fh8yb9wyj8vRHnOEOQYsgb9mcSxTcaYsUjOzUPy2Ak4/rGnB+3B1ZhMmP33V5F//En47y2/xa7FH8BlseD0NxdBpdOJr+ur3TYTztu3b0dFRQXUanWAwJZWfCEIIv6QSCaIBCdYEAcn1bF4YGmDhZKSkn4dY9fhapzx9hVodrSgPK0Un13xBgpMuRH7DiatEQ+NXIhTZ86GVqmJ2OcSxyam4lLM/uhzHLRYIyo4h11yOTQpqfjPNZdh34/f4YsLzsRZi78Qq2WEIlg4y2Qy1NfXY+jQoRAEAV5JjHSoGs4knAkiflC4BUEkEEwQezweOJ1OOBwOtLW1wW63o729HZ2dnXC73aIwVigU3UImBrLFu+rABjQ7WjAmewS+u+b9iApkhkGlg0relSglCAKe//WfaGxvjvhxiKOTuhVLUfPt1+K/1SmpkMkjf4krPu10nPPZN9CYzGit3Im2/fv69X5pi3W5XA6FQiH+NlmohtfrhdvtFkOjpKEa0nwBgiCiC3mSCYJTpE0P/H6/GDLBvMYAAhKCwmnfPFBv1NXjL4JBo8eJxVORlpw6oM/ojWC7nl7+Ip5c/jd8uOVzfHX1O1E55kDsIkITb9FWv3olvr7sAvhcLpzz72+Qd9yJAKJ3/nKmTsfZn34FuVKJ9JGjIvKZfYVqMI8ze17qaQ43ZIogiP5BnmSC4ACph9jlcqGjowN2u130EjscDrhcLvj9fshkspBJdeFeIMMVNDanHXZXu/jv80bMjZlYvXj02cjWZ2JH8y6c9951sDrbYnLcUMRbACYK8RJoTZs24MuLzoHH4UDe8Scia+IUANE/b1kTJiFjzDjx39bqPfBLQid6oj/dJaU3wNLfuUwmE2+c3W43XC4XeZwJIgqQSCaIGMMEsdfr7SaI29vb4XA44HQ6uwlilUrVb0EcTLjv8/g8mP/JrZj71mU42FY/oGMNBHZRL00twhdXvoX05FRsbtiOi97/f2h3O2JmB5EYtOzYjs/PPxNuextypx+HM95dDKVWKz4fK+F+8Jfl+OjkGViy8OaoCtPgnaPg9YCtK+xmmwlnj8dDwpkgBgCJZIKIMsGCmJVeYx5ip9MJn88XEEMcCUHcE31dJAVBwO++fQhL9v6Cva37cdjRGtHjhyLUdxyWUYZ/X/EmzFoT1tRtxKUf3IBOjzPqthCJgWXPbnx+3hlwWVqRNXEyzvzgs4BKE7HEbWuDx9GOne++hVWPPdjra/vjSQ6H4GQ/hUIREHrBdqhCCefgmugEQQRCIpkgIkhPHmK73Y6Ojg44nU54/1dfVaFQBIRNREMQBxPO57+y5i28vfEjyGVyvH7+cxibMzKqNvXG6Ozh+PSK12FQ67Bi32pc/fEtdEEn4GhswOfnnI6OpkakjxqDsz7+AmqjMeA1sZwnJWeciZnPvQgAWP/XZ7Dtzf/r8z3R/K2HK5xZqAb7I+FMEIGQSCaIASLNQpcK4traWuzcubObIJZWmohnok1vF79f9q3B/T8+DQB47JR7cfrQWbEyC0Bo2ybmjsHiy/4PRo0eF40665hLThIEAR0dHWhoaMCuXbvg8XhgsViwe/duNDU1weVyxdtEALGNSU5Kz0DhqXOQMqwCZ3/6FbTmlLjbNPLq6zDlD38CACy/+w4c/GV5yNfFS3z2JpylORFr1qyBzWYT45tJOBPHMlTdgiDCQFplIlQtYuDIRcjj8aC9vR0qlSrOVnenN9FQb2/ENZ/cDq/fi4tGnYWbpl7DhV0AML1wEjbfugSpSebYGPQ/4iHI3W632AmR/fl8PhgMBhiNRsjlcmg0GnR2dqKhoQEOhwNarRZmsxkmkwkmkwlGoxFKZeyW91iLJ7lCgZOfewkum7VHgRwPQTf57vtgqarE7k8X49urL8NF/10BU3FpSLt4uNkLVVGjubkZw4YNE9e84NdTu23iWIJEMkEE0Zcgll5YFP9rdSu9SDDPDK/0ZNsdX/8JTY7DGJk5DC/Me4y7C59UIHd4OuH2eWDWGnt+Q4SI5rn0er3iDgT7c7lcSE5OhtFoRHp6OkpLS6HX68WmEk1NTUhOTsaYMWMAAB6PB21tbbBarbBYLKitrYXL5YJerw8QztLPSFTa6w9Bl50jCrOeBDIj1nNYJpNh9ov/hK1mL5o2rsf65/6MWS+8HFMbBgtb46RzJbhroFQ8k3AmjmZIJBPHNGybkS387E+6tcgW/FCCOBQ8i+TebP/z6Q/C6/fhmdMfgE6dHEOrjhDOuH27679Y+M2DOGPobPz1jIdjYFVk8Pv9YvMX9udwOKDRaGA0GmEwGJCXl9enFzh4jFQqFdLS0pCWliY+5nQ6YbPZYLVaUV9fj8rKSgiCAKPRCJPJJIrnpKSkhBEzPo8H/z57DjTmFJz66hswlw6Jt0khUSYl4Yz3FmPzP/6OaX/qPj958iQH05Nt4bTbJuFMHI2QSCaOGfojiAcTM8z7haAnIVpozsMnl78WY2u66M+YGTR61Nsb8eaGD7FgynyUp5f2/aYYIwgCOjs7xaRN9l+ZTAaj0Qij0YjS0lIYjUZoNOG34T68y47V17VCn+fAmOVjoVCG9gxrtVpotVpkZWWJ9jgcDthsNthsNtTU1MBut0OpVIqeZiac1Wp1RMYg0ux8501Y9+yGNi0dyekZfb4+njeq+pxcHPfok3E7/mAJt4Zz8GtDCWfmmSbhTCQiJJKJoxImiJkolnarY89HQhD3dnweCf6OrR0WbKjfhlOGnBAniwIJZ9yOL5qKueWz8O3un/Dwkr/g3YteioFlvdNTHLFer4fRaERubi6MRiOSk5MHNc8+uWo1nI1+OBs7sfGtGky6Pjxvqkwmg16vh16vR15eHgDA5/PBbreLwrm+vh4dHR1ISkoKEM5Go1HcRemJaM93d3s71jz9GABgyu//2K2SRU/wIMD8Ph9+ffA+pI0YieGXX52QnuRwCUc4SzsHBgtnFuLB49gQxyYkkomEJ96COBiewy2AQEFz938ewcfbv8Jjp9yLW6dfH0er+ndhfGj2Xfhuz1J8Wfk9Vh/YgKkFE6JoWSBMXEoFsdPp7DWOOFI077SL/2/d3zGoz1IoFDCbzTCbzeJjHo9HFM0WiwU1NTXweDzQ6/UBwlmn03X7btH8TW166Xl0NDXCVFKKkdfEd572l12L38eml16AQqNB2sjRMA4bHm+TeiQaAr4v4eyVdCkk4UzwBolkIqEIFsTBSXWxFsSh4Hkxl9r2+c7/4OPtX0EhU2BG0eQ4WtV/KjLKceW4C/H2xo/wwH+fwX/mvx+1cfd4PDh06FBAHLFKpRLDJnJzc2EwGGJezUTwR/5GTKVSIT09Henp6V3HEAQxvtlms+HQoUOorKwEADG+2WQyBVR5iTSOxgZs/PtzAIDpDzwKRZjhINIk23gy7OLLseffn6L2u2/wn/mX4exvlwDgc52I1c09CWciUSCRTHALu/BK44e9Xi86OjpQV1eHsrIyAN3jiONNIniSDzta8LtvujqD3THjt5iYOybOVnXRn3G776TbsHjrF1h1YD2+rvoRZ1acOuhjO53ObmETQFfSndFoRHFxsRhHHO+5Fos5JpPJkJSUhKSkJGRnZ4vHbW9vD4hv9nq9WLt2LVJSUkThHKn45rXPPAGPw4GsiZMx5JzzB/15sUYml+OUV17DhydNQ9u+Wiy77UZorrsx3mb1SjzmdjjC2el0oqamBiNGjAgQzPGsO08c3ZBIJrhAKohZ1zr2/yxsgi2CXq8Xhw8fRkVFRZyt7hleRTIT8L/79iEc7mjFiIyhuOfEm+NtFoD+X5hzDFm4edq1ePbnl7G6bkO/RTIrnSb983q9YhxxTk4OjEYjnE4nRo8e3a/PjglxmmIymQwGgwEGgwH5+fkAgB9//BEVFRXwer2ix7mjowPJyckBojmc+GYpPo8HTRvXAwBmPPx4woogrTkFc9/+AJ/MmYkDP36HtPRMYO7ceJvVDd7ipYOFs8/nQ0NDA0aOHNkt4RoACWci4pBIJmJOsCBmHmK26LGFjy1ySqUyYKFTKBTcilCAnwtMTyxvXI3Pd/4HSrkSL5/zDDTK8Ksr8MbtM36D08tPxuT88b2+zufzob29PUAQd3Z2IikpCUajEampqSguLoZerw8Qcfv27eOmo10w0Qi3GCjSqh0Mt9steptbWlqwd+9eeDweGAyGAOGs1+t7/M0oVCpc9OMK1K1YirzjTuyXTbyEWzAyx47Hic88hyW334SWD9/DgUsvQ8FJse1o2Re8ieRQBFfFkF4LSDgTkYZEMhFVmOgNjiHuSRCHGzLBu0jm1b52jwOv7HoPAHDncTdiXM7IOFsUSH/HzagxdBPIrNxZcD1ipVIpCrns7GwYjUYuuyKGC08iOZQgVavVyMjIQEZGhviazs5OUTgfPHgQO3fuBIAA0WwymaDVao94EeVy7sTkQBlx1bWo+/Vn7Pn3p3C2tsbbnG7wLpJDzTPpv4OFM7v2BL8vOL6ZhDPREySSiYgSnFQnrZUpXYCli1R/4VmEMni1z6DW4/+VXYqVjo2483i+4iIHMhcEQYDL5UJbWxuq6vdg48GtGKurEBtnsDhig8EQILyiaVNUkUEMsxD8cbWk38hkMiQnJyM5ORk5OTkAjjRYsVqtsNlsqK6uFlu6u1b+jCHnno/UrGyYTKZ+39Dw5kkGusZg6qNPwzvjJJSfd2G8zekGr+sWI9xz2ld8M7tGhRLOwXWciWMbEsnEgOlNEAOB7U0jmY3Mu0jmeWGVyWSYmTUNfzzuTq7t7AlpHDErw+bxeNDkb8Etqx6AUq7Er9d9iaKMgoRvwRwKmVwGwfe/3xdHnuSBIpfLxfjmgoICAF2tund88hGWP/sEDn7wDspeeBVOtxvJyckBbbYNBkO/4pt5QaHVQp2TK/7b7/VC3kuHxXjA69owmBuf/grnUFU1SDgfe/D1yyS4JVRSXW8eYvbvaMD7IsWjiPf6vWh3d0Ae4kLBE9Jx6ymOWKvVwmg0wmw2o7CwEAaDAXK5HK/Uvo8Nh7bg7+tfj2i7ap7OpUwOCP/r/ns0iORQyAFs+ctTAIBRl1yOabNmifHNVqsVzc3N2LNnD7xeLwwGQ4Bw1ul03M5tKczGg78sx39vuQGnv7kImWN7j6uPBYkYbjEY+hLO7LonfV2oMA1ex4sYPCSSiW4EJ9UF1yKWLhjMkxPLRYJHERoMb/a9vPotvLDyX3h85r3IFdLibU432Hg1Nzfj4MGDaGtrQ3t7e7c4YoPB0GNZsUdm/x5nvnMl1+2qB4tMfiTeItHCLcJlxztvwLp7F7Rp6Zhw250Aeo9vtlqtOHDgALZv3w65XC7Wb3a5XGJlHJ6QrqFb/vUK2mpr8N31V+GSpaug1uu5sY1HYmFfX8LZ5/N1ez212z56IZF8jBNKEDc0NECn0wXUgo2XIA4F7yKZN/sa7E14avnf0e52wOayIxfxF8nB9Yjtdjt8Ph+am5uRkpKCwsJCGI3GfsURn1A8FaeXn4z/7F7CTbvqSNMlkrvgyZMcqfnubm/Hmqf6bj/dU3yztH7z4cOH4Xa7sWTJkm5ttnlJ2Dz5uRfRuHY1bNV7sPyehTjlpX/F1R6e1q1QxEvEhyOcmXi2Wq2QyWRITU0l4XwUQCL5GCK4ygT7Cy6bU1tbi5KSEm63LqUZzDzbxwsP//Qs2t0OTMwdg0tGno3NmzbH9Pgej6dbG2e32w29Xg+DwYCsrCyUl5djw4YNGD58OAwGw4CP9dCsu/H9nmX4svJ7bGnYgTHZIyL4TeKPdGrxJJKByMz7ba//c8Dtp5kX2Wg0oqCgADU1NbBYLCguLhaF84EDB+B0OqHT6QKEMwvZiQXSdUubkorT/vUWPjvrNFQuegcFM2dj2EWXxsSOvmzjEZ7s60k4NzQ0QC6Xw2QyBXidyeOcmJBIPkoJVxCHKoHDe8vPRBDJvHhk1h/cjEVbPgMAPHP6n6CQRzfRiXnzpIK4o6MjZBxxcNJVJETK8MxynF0xB//e+S3e3PDhoGOTeZtfMsURe/xePuZYpBD8fmx/8/8AABMX3h12++keP08QoFAokJqaitTUVPFxl8slimZpfLO0zXa045uln5s743hM/v19WPPUY1h6563InjQZppIhUTluf23jDV7XfAZb+6W5OaE8zux7kHDmHxLJRwFMEEsbczBBzJ7vSRCHgieRF4rgWpg8woNtfsGP33/3KADgsjHnYVLeOLS3t0fMNkEQ0NHREVBpwm63Q6FQiB69zMxMGI3GiLQnDpdrJ16KJXt/hkkbeqs+kdHolXDbvQAAt8MbZ2sii6vNhrQRo+C0WlF+/sVRO45Go0FmZiYyMzMBHJnHUm8zi28OVb95sIT6/U26817ULVuCQyt/wXf/bz4u+PanQd8kDNQ2ngUa7/YB3W0MJ1TD6/WKrwkWzrw7rY52SCQnGMGCWNqcgz3fH0EcCt5FMoNXG3lZzBZv/RLrDm6GTpWMB2d1JUANxjZWj1gaR+z3+8U2zvn5+TAajUhKShrwcSJxTk8snobKhb8gWZU06M8C+JpnaoMSqO/6f2ebJ77GRBitOQVnvPsRPA4HVDrdoD8v3PMmk8mg0+mg0+mQm9tVms3v98Nut4vCeffu3Whvb4dWq+0mnJX9LN8WSujJlUqc+uob+ODEqTAWFsHncpFIDgHv9gFdc6cvG/sSzkw0s9eQcI4fJJI5pidBLC27BmBQgjgUvItk3j3JvIzfpoZtAIA7j1+AHEOW+Hg4tnm93m5xxC6XCzqdTvQQl5WVQafTRSyWM1ILvlwmj5hA5g2N/kjCmesoE8mMSAhkxkDnlNSLzPB6vaJottls2L9/P5xOJ/R6fYBoHmh8s6GgEJcsWwVDQWHcxA8P61ZvJIJIHqiNJJz5hEQyJ0hrMrJaxEwQS+9Mg73E0YAXkdcTvItkgA/bnjztj7ho1NkYkTlUfCzUnAmOI7bb7XA4HNBoNGLYRH5+PgwGQ7+9ZvFEEASsPLAOWfpMDEktirc5EUFtPDL+Ljs/4RaDne8Hf1kOfW5eXGNx+0KpVCItLQ1paUeqwzidTlE0NzY2YteuXfD7/d3im5OTk8PKpTAWHpmngiDA73ZDodFE94sFwbPIShSRHGnHQV/CWZpPFCrOmRg4iXPFO4oIFsTSkAkWNiEN4FcqlTGd6IkiknmFp/GbkDs64N/spquhoUEUxe3t7WLnM6PRiIyMDBiNRmhifHFm9kWKP/7wJF5a/Qaun3h5RJuLxBONQSKSOfMkDzjExu/HT7feCFvNXpz5wWconjM3IvbE4jeo1Wqh1WqRlZUlHtPhcIjCed++fWhra4NSqRQFs1wu79O2zpbDWHrnbZArlZjzf29H/XsweBehvNsHRN/GYOEsnUvBifkACefBQiI5yvQmiKVhE2zyxloQh4InkRcK3j3J8T5/H275HNMKJ6LInA+32x0QMmGz2QAAdXV1EYsjjhSRPv6c8pPx0uo38NHWz/HoKfdAp06Ou02DRWOQhFvY+RLJA6VuxVLYavZCZTAg7/gTI/rZsT5/MpkMer0eer0eeXl5AI7EN1utVthsNrS2tsLpdGLp0qUB3QKNRqO4U9NWW4O9X30OwedD6Rlnofz8i2JiP+8ilHf7gNjbGCpJkIRz5CCRHGF6SqoTBAFWqxW7du3C1KlTox4yMRjC8XTEE95FMhAf27xeL7Ye2IGbvrgHMpkMr0x9Aqnyrq1eo9GI9PR05OXlYevWrZg0aVLM7Ys1JxRPRWlqEfa27sMn27/G1eNjIzSiiVov9STzE24xGLa/+RoAYNhFl0U0HpmX9SE4vrmlpQXbtm3DqFGjYLVaYbFYUFtbC5fLBb1e3yWcM7Mx+ubbseVvf8XSu25HzvTjoM/JjbqtvIxZT5BIDo/ehLMgCLDb7Vi9ejVmzZolvo4JZmq3HQiJ5EEQLIilNRCld25s4qlUKvj9/m71YXmDd08ywLeNsbDN7/fD4XAEeIkdDgf+uvs1eAUfjsuZjFkTTgrwTgFdMZQ8E8lxk8vkuGb8JXjgv8/gzQ0fDFgk8zTPpCKZp2YiAx2jjqZG7P3qcwDAqGv+XyRNAsDfTgBwJGa1p/hmq9WK+vp6OKedAM2Xn8NVU40vr78KJ/3fOzCbzVHd9eFB4PUG7/YB4VW3iAeh4pulApppGenzJJxJJIeNtBB4sCBmz0sFMdB9geZZ2ElJBDt5tjHSi4ggCOjs7OxWj1gmk4mJdaWlpdjXeRArflkDGWR45swHAhooBNvG48UmGvZcPvZ8PLrkOaw/tOXo6MDH1ykLYCDnb+eid+D3epE1cTLSR4+JglX80dNvL1R888GsTHwx92S0rPwFa1/+O7THzwyIb2bhGpGsQ87buiCF1zVfCo9razDSUrFAz4mBwcI5VFWNo104k0gOQXCViZ48xDKZTPQKhzNJeA9jYMhkMjGBkFd4FsnA4Bbz4DjitrY2+Hw+sR5xbm4ujEZjQMY8ANz8wX0AgAtHnYlRWRWD/g7xINLnNEOXhjMrTsVnO76JSAc+3vD7BcjliXmBEvx+7Hj7dQDAyPnXRf7zOV4fwkEmkyF/wkTMePAx/PzH36P+9Vdx8dXXQp6RKSYG1tfXo6OjA0lJSQHC2Wg0DmjHkvcxi2TliGiRCDb6/f4ebexLODPxLH29NMb5aBPOx7xIDk6qC65FLJ0w/RHEoUgE8QnwL0AZvNrYH2+tz+frVo/Y6XQGxBGXlpZCr9f3uvCuqduI73YvhUKmwB9OvC0ith0tXDvhUny24xusPbjpqPvenS0u6DIG3wUuHthq9qKzpQUqgyFqHfZ4PNf9nYNjb7wFNd9+BVvNXrhtVmSXD4XZbBaf93g8omi2WCyoqamBx+MJqN9sNpvDqmnO+++D1zVfCu9jCPTfxr6Es8/n6/b6o6Xd9jErkt99910olUrMnTtXTKyLpCAORaKIz0Swk2cbexKifr9fbOMsjSNWqVRi2ERubi4MBgNUKlVPHx+Sx5Y+D6ArvGBIWnGkvkpMidYCekLxVHx11bs4rmhyv4/B+6Le3uRMWJFsHlKGa3fW4PC2LRFN2DvakMnlOPWfb0KVnAyNydzteZVKhfT0dKSnpwPoWnek9Zvr6+tRWVkJAN3qNwfHNyeCwOPdvkQYw0jETYcjnKXimQlnpVLJvaddyjErkn/55RcoFAqcfvrpMSuBwoQd7z8ingUog2cb2bnt7Ozs1qRDJpOJ9YiLi4vFesSDmQ9evxeT88ZiS8MO/P6Em8Oyjdexi4ZdcpkcJxRPjfjn8kB7gxNZI+NtxcBRJScjZ8q0qHw2r+vsQOwKrmzR22fIZDIkJSUhKSkJ2dnZ4uvb29tF4VxTUwO73Q6VShUgmr1eL5djxuA1KU4Kr/NOSrRCQsIRzrwXLgjmmBXJKpUKbrc7pieMTUref0Q8C1AGb+Pn8XhEMWy1WgEAa9asEeOIc3JyMGzYMOh0uojbrpQr8aeTf4e7jr8JSarE9CrGCpfXBYenE6lJ5rDfw8tvQRAEeD2BtZHbm/ioVtLfMXI0NiA5M4u73zHvCIKAHW+/jp2L3sF5X3wXdjc+dnNuMBiQn58PoCvUi9VOt9lsOHToEDo6OiCTybB58+aA+s08CRve5wwJ+UCkwjkRwk2DOWZFslqtRnt7e0yPybsXj5EoIjleNvp8vgAPcVtbGzo7O5GUlASj0YiUlBRYLBbMmDEjpl3rwhHIPM/BaC/ai7d+gXu+fwznDp+bEAl8Xq9XFDHsv4cOBa5ZW1buAEbYAhK24rWVGe75E/x+fDp3FhQaDU5/YxFSK4ZHxR4e5zgwOIHislmx6rGH0Hm4GauffBQzHnpswHYoFAqkpKQgJSVFfKyurg579+6FTqdDS0sL9u7dC4/HA4PBEOBx1uv1cRGCJEAjQ2+Je9FCWvggkThmRbJKpRL7nscKngWKlES444uVSGZtZoPjiJVKpRhHnJ2dDaPRKMYRe71e7N27N+reF0EQ8PvvHsVZFafhhKKp3C/M4RDNc5qpz0BLhwUfbf0cj5zye+jV/MTBSucZE8UOhwNarRZGoxGpqakoKSmBt3A/6rBbfJ9BngKdTofDhw+juroaPp8PRqMRZrNZLA+m1Wq5mhvSDnuGgsKoHoun7x0JtOYUnPzCP/DNFRdhw9/+guI5c5E7/biIfb5CoYBKpUJZWRmAI+Unmbf54MGD2LlzJwAEiOZYzjPez2kiVLdIBCHPC8esSFar1fB4YtvWVRpuwTPHqidZEAS4XK4AQWy32yEIgiiIi4uLYTAYer0gxOpm6Ke9P+Ofa9/B2xs/ws7bVyA1OaXP9yTKjVo0kHbg+3T7N3HtwMfK/DFB3NbWJs4zk8mE0tJSMV49gKA557fLAwRNR0cHrFYrrFYrqqurYbfbodFoRNE8mPJgkSJaHfYShcEKlNIzzkLF5VehctE7+O/Nv8GlP6+DKrn/Ldd7QmqbTCZDcnIykpOTkZOTA+BIIyPWZru6uhrt7e1Qq9XdhHN/E5D7gjzJkSERxpEXjlmRrFKpYi6S2aQkL+3giYSN0jhiVobN4/FAp9OJHuKhQ4ciOTl5QJ6BaI/hsz//A0BXibNwBDLvRHvRlnbgeyPMDnyRsMnv94vhOUwUd3Z2imX+MjMzUVZWFlaJrmBsdR0Btup0Ouh0OuTl5QE4ErLB2h+z8mAGgyFAOEezi5uUaHfYk8LrGhYJEXXCE8+ibulPsNXsxarHH8IJjz8TM9vkcrkY31xQUACga57Z7XZRONfV1YlznO1omEwmGAyGQd+g8S7uEkEkJ4K3mxeOaZHsdrtjesxE8eIdjSK5pzhitp1tNptRWFiYMIv4z/tW49f966BWqHDb9PDFBu9zMNp2sQ58Gw5tweb67Rib03dpiP7a5HK5AuKI7XY75HJ5j+E5g8G6z9Hr80qlEqmpqWL3Ren2udVqxb59+7B161YolcoA0WwymQLamUeKyvffjWmHPd7FykDRmEw4+fl/4MuLz8Hml/+OsrPORc60GYP+3IH+/pRKZbf4ZrfbLc6z5uZm7NmzB16vV7xBY8K5P8nMieABTRSRHA8beR+XUBzTIjkeMclHowCNB73ZyLadpYK4vb29WxyxwWCIaDtXqW3MjmjxzIouL/JV4y5CrjE7asc52gjowLfxQzyX88igPo/dfElFscvlgk6ng8lkQk5ODioqKrp1R4wUtroO+Lx+KJTheYVCbZ9LqxxYrVYcOHAATqcTer0+QDj3JGakXUh7Q/D7sf2trlCLkddc35+veVQRKYFSdOocVFx+Fao+eA+NG9ZFTCRHap6q1WpkZGQgIyND/GzpDdqBAwewfft28QZS2mZbq+05CZl3oZUIQj4eiXsM3scmmGNWJKvV6ph7koHESIpLlPbZzEan0xkyjpjVIy4sLITRaIx5AlO0xnBN3UYsq/kVSrkSd8z4bb/ey7MnOVbn5poJl+CzHd/gk21f4ek590OtCO9GSdqkQTrXlEqlWCqLtQyPhhc2FH6vAPuhTpgLBx7bG6rKAfueVqsVBw8exI4dOyCXy0Uhw8RMf24yG9auFhP2ys+Lfjz4sbClfPzjz2DUtb9B9qQpEfvMaP0Oe4pvltZv3r17N9rb26HRaLq12VapVAlxThPFxkQTq/HimBXJ8YhJBhLfSxtvWIyl2+1GbW0tqqqq4Ha7odfrYTAYkJWVhfLy8gHFd0aKaAvRZ1a8BAC4bMx5KDTnDegzeD2/sbDrhKKpuH/mQswpnwmVvOeQB6/XC4fDAafTiS1btogx66zdb35+PhfVI6z7HIMSyaHQarXQarXIysoC0CVm7Ha7KJzr6+vR0dEhxpwCgN1uh1qt7vF3lzl+Is7+5Eu0Hzp4TCbsMSIpULTmlIgK5FiLJ2kYkjS+WVq/me1s6HQ6CIKApKQk2Gw2GAwGLsVoIgjQRPB288IxK5LjUd0C4FuAMnixUZrwxP46Ojqg1Wrh9/uRnJyM8vLyiMQRR5poLUCCIOCCEfOw31qH3x13Q7/fTwsjoJArcPcJNwU8Jg3RYZ5iFqIjk8kiGrMeaaz7HMAJ0T0G8yKbTCYUFnaVbXO73WIlDQDYtGkTAASUoDObzWKFDoVajcJZp0bX0AQgWmtra1Ul1j/3DE5+/h9Q9hKu0Bs8CLzgOHrgSJz/7t270dHRgXXr1sHr9XZrsx2NZk39hYcx7ItE8HbzAonkGJMIoQzxEMlSkcIqTdjtdigUCtHTkJmZCaPRCLVajfXr1yMtLU30YvFGtMZQJpPhsrHn4dIx5w5qIeZxDsbywiKtbMJEsd/v79Yy3GKxoKGhQRSGPGLZ19H3i6KAWq1GZmYmMjIysHfvXhx//PHwer2it5ltnWu12m4l6GJxgeZZrETaLr/Xiy8vPgf2/fugy8nFjAcH1mSEx3UBADQaDTIzM9HY2IikpCQMGTIEHR0dAd5mFt8cqn5zLOF53jESwUZeIJEcYxIhJjkWNoaqRywVKfn5+TAajT2WpkqEH3g0LziD+f48j100xow16pAm13V0dGBLexVWWjbgmjGX4LhxU6DX60OKN16FA8NaG9vOocFIE/eCWx97PB7YbDZsfe2fqK7eDe3046HMze/mbY53yEosiYZAkSuVOOHJZ/HNFRdh49/+iiFnnYusCZO4sC2SMPuk5Q5zc3MBBIYESeObtVptN+EcrZwB1lWO5zEEKNyiPxyzIlmpVFK4RQ9E2kZWQ1MqilkFgIHWieV9HKOxAD2z/EWkJKfgyrEXhNWCujd4HLtIjVmoRh0AxNa6ZWVlMBqNeOfLL/Cf/UsxLK8cc8efEpFjx4N4eZKDCXX+VCoV0tPT0fj15zi8dTNOPuEkFB9/vFhPt6amRoxlZsmAzNs8WCGTCGIlkpSecRbKL7gYuz/5CP+9+be4ZOlKKIKb0YQBz2PW2zmVepEZbGeD/e3fv1+s3CIVzZGKb2brKu+hDBRuET7HrEiOZ3ULHgWKlMHYGBxHbLfb4XA4oNFoxLCJ/Px8GAyGQV0EeR/HSNvX2N6MZ39+GS6fGyMzh2JG4eRB2Xa0IM2OZ8LY6XQiOTkZJpMJmZmZYiJn8Pc+s+JUfLrja3xV9QMenn13wo5LX7WS403bvhoc3roZMrkcpXPnISmo4YnP5xNDNGw2G/bt2we32x1QT9dsNketjF6siaZ4P/Hpv6Ju+VK0Vu7A2mefxLQ/PsSNbZGgv/YplUqkpaUhLS1NfIxVQ7JarWhsbMSuXbvg9/u7xTcPZL6FWw4x3sTzPPM+NsEc0yLZ6/XGJZuXZ3EHhC/wWN3L4HrErCOT0WhERkZG6Pa6MbIxnkTSvpdXvwWXz40p+eMxvaD/26hSeB67vuxiFzgmiqWNOkwmU78adZxadiLUChWqW2tRdXgPKjLKI/U1YkpbP2slx5q933wFAMiZfhyS0jO6Pa9QKLo1PHE6nWJS4P79+7Ft2zax4Ym0nm6k2x7Hgmhec5LS0nHSsy/gP/Mvw/rn/ozSM89B5tjx/bKNZyIxdqxyS2ZmpviZLL6ZNdhpa2sTSztK//q6jiWKSKZwi/A5pkUy1UkOTU8iim1jS/98Pl/YccSxsJEXIvn9bU47Xlv/HgDgjhm/PWoXt+Dv5fP5xDAdJopdLhf0en1ATeKBehiNGgNmlszA93uW4cvKHxJOJGvNKjitHvh9AuwHO2Eu4rOsGmtDPeTMc8J6vUwmQ1JSEpKSkgLq6TLvH6vd3NnZKTY8YcJZr9cHlGA8Wn8rvVF29nkoO/cC7Pn3J9j8yos49eXXwn4v72MWDft6i29muxsNDQ1wOBxiEioTzcFhQYkikgVB4K5KD68csyI5Hh33AP7FHXBEyFsslm5xxMnJyTAajUhPT0dpaWmPyU6xgOdxjOR5fnPDB2hztWNY+hDMHTpr0J/H4xwUBAF+v1+8KNlsNrEEG7sYRSJMJ5gzK07D93uW4auqH7qVhQP4vtiZi3Ro+F/5tdaa9riL5FBj1Xm4GfWrfgUAlJxx1oA/Wy6Xi0l+DJfLJYrmQ4cOobKyEjKZTBTMTqczKh01B0sshOiJzzyHzAmTMG7Brf1+L89zPlYiPlR8M6uIY7VaYbFYUFtbK960M+GclJQEgO8xBLpuAmLV8CjROWZHiZqJHMHv98PhcIhi2GKxwOl0YseOHTAajTAYDMjLy4tpJ7G+4HEcg4mEfR6fB6+seQsAcNv0/we5jM8t9f7CGgZIy7B5PB54PB6kp6ejoKAgJo06zhg6G7fjfmyq34YDtkMoMOV2ew2v8yxtiB4Nm60AgNbqdpTOzIqLHb2NT823X0Hw+5ExZhyMhUURPa5Go0FWVlZAw5P29nZROFutVrS0tKCxsTGgSyCvTSgiSXJGJibcurDf7zsWPcnholKpQsY3Sxvs2Gw2AMDatWsDwoJisbvaH+KRuMfrOtoXfCieOBDPOsnxDLeQttaV1iOWyWRiYl12djYaGhowY8aMuNnZF7yL5EjZ9/nO73DI3ogMXRouHDVwT5yUWI+dNOZPGrvOWs+azWYUFRVhz549yMvLQ3Z2dsxsy9ClYVrBRLS57GiwN4YUybySVmYQ/79ljz2OlvSMz+1BclY2Ss88O+rHknZvKywsxJYtW6DVapGSktItSSu4vXYsa+nGWuj5XC5sf+t1jLruN5D34eQgkdw/gjtTdnR0YPny5cjPz0dbW5tYvUUa3zyQlu6Rhrdx5BkSyTEm1gJFGkfMRLHX6+01rtNisaCxsTFmNg6ERBDJkaAktRBnDJ2N8TmjoFVGNvkxWrBtSakoZjWwTSYTiouLQybBxOucfnL5a9Cpk2N+3MGSVi4Rybv5FMmjr/8tRl37/+BzueJyfIVCgYyMDGRkdCUMsprZzNMcquEJEzNHg7dZEAT8+9y5qF/1K7zOTky47Xd9vp5nEkHcyWQysU44cCS3goWRsZbuSUlJAcLZaDTGLE7Y7/cfFfM7FhyzIlmlUh11JeCkiU7sj5XDMhqNSEtLQ0lJSZ9xxLwLUCAxbIyEfRNzx+D9S16J6HeN5NhJQ3WYKGYXAF5i1/siEQUyABjzkqHUKuB1+nCYU5EMADK5HMr/xWrGklBzXCaTQa/XQ6/Xi0JG2iWwpaUF1dXVYstjqXCO1JZ5LIWeTCbDiKuuQf2qX7H6yUdQeuY5MJcO4cK2gZCI9ikUim7x9KzJjs1mg8ViQU1NDTweT0D9ZrPZ3K/eAYO1MxawRjCJxDErktVqNQRBgM/ni2mcbaRKwPn9frGNM/tzOBxQqVTilmNubi4MBkO/yyQlSgUOnom0iOfl+7rd7oCaxHZ7lzhjc4416hjIVmK8v2OHpxOtHVbkm3Liake4yORAWpkejdtssOx1xK0MXE/z3Fq9B6aSUsjieHMUzpwKrqXLSlsyb7O04Yk0TIOnHI3eqLjsKlR99D7qli3Bkjtuwrmf/6fXcYn377A3eBfJ4ZZWY0120tPTAQSGQTJvc2VlJQB0q98ciZs1KgEXPvz/wqMEu4i7XK6YLnQDEaDsBxTcxpm1gTUajSguLhbrEQ928ieCl5Z3Gwdr3wHbIbyy5i38dvJVKDLn9/2GfhCubT016mCdErOzszF06NCQjToGSrzO6cfbvsQtX96Hk0uPw/uXvCI+zvuFJK3cgMZtNvg8ftj2dSB1iD5utkjHyud246OTZ0CZlIQLv18KY1FJzO0Z6FySyWRITk5GcnKyWBLM5/MFlKBjDU9YZQP2F045wlgLPZlMhpOfexHvHzcJB1csw8733sKIK6/hwrb+kgj2DcTzKy17yHIyBEEQ119pd0qVStWtfnN/nRLUcS98jnmRHOu45HAECovplP71FUccaxvjDe82Dva8vLr2bby46nVsa6zE51e+FSGrekYQBLhcrpCNOlgJtpycnAHtTCQCw9LL0Ol14qe9P8Ph7ggIweB5nkmT95p3tcVVJEupW74UbnsblMnJMBREtqpFf4jU+qhQKJCSkoKUlBTxsc7OTjFM48CBA9i+fTsUCkW3pMDg30s8hJ6pZAim/OEB/PrAH/DL/fei6NTTocvqniDL81wHEkMkR8o+5gQzGAxiaBC7WWPC+dChQ+jo6BA7jErrN/cW38z7OPLEMSuS2cIVb5Hs8/kC2ji3tbWhs7NTjOlMTU1FcXEx9Hp9zIL6eRegQGLYOFD72t0OvL3hIwDAginzI2kSgK6x8/l8sFqtAQuux+OBTqeDyWRCbm5uzEsXxXPRHpVVgSJzPvZZ6/Bj9XKcM/z0uNnSHzKHG8X/b65sw7C5fFTnYA1ESuaeGddwi2gS7PmTNqAIbngiFc7xWrfGLbgVuz/5CM2bN+KXP92L0/75ZrfX8O5h5F3cRdu+UDdrLATOZrOhpaUFe/fuhcfjEROl2Z+00U68Evd4Pnc9ccyKZJZZH0uRzGKgbTYbKisrxThiVh7GYDD0q61utEgEAQrw7fUYzBgu2vwpbC47ylJLcFr5zEHbIm0fbrPZ4HK5sGnTJqjVajHejXVLjHcXpnidU5lMhrMqTsOLq17HV5U/JIxIzqg4IpIPV7bF0ZIj+H0+1Hzb1Yq6NMwue9Eg1nNJ2oCiqKjLe+5yuQLq6FZWVsLv90OtVmPXrl2icI5FOTC5UolZf38FKx/+E6be90CPr+NZyBzrIjkUarW6WwUXaf3mgwcPYufOnQAgzk+XywWPx8P9ePLAMSuSmRiIVoUL6fa1NI6YLZA6nQ7FxcUwGAxRb5jQXxJBJPNu40DPp1/w4+X/NQ+5cer8ATUPkTbqYKETXq9X9CwolUoMHToUmZmZXM27eHPmsFPx4qrX8d3uJfD4PFApVNyPT/qwIyK5iROR3LhuDTqaGqE2mpB/wklxtSXe50+j0SAzMxOZmZkAujx427dvR0dHB1wuF6qqquBwOMTtciaao9XwJGP0WJz98Rc9Ps+7aCL7+iZUfDOrQsSEs9PpxM6dO7F3795u8c1HYzjdYDhmRbJMJoNarY5Ya2ppHDErw8a2r6VJTnV1dVAqlSgrK4vIcaMB7wIU4L8Cx0DH8D+7lmBv6z6YtEZcNubcPl8f3KjDZrPB4XBAq9X2GK5z+PBhqFT8CcB42zMlfzwydGlodrRgxb7VmFV6fFztCQe1TglzYTKs+zvQvLMtLhdpNs/Zcfd+1SXCik87HQoO20LHE7lcDrVaDYVCgREjRgDounawEI3m5mbs3r1bbHgiFc7RaHhiq6mGqeRISTgeRF5v8G4fr1Uj5HJ5QHyzzWbDkCFDoNFoROFcV1eHzs5OJCcnB9QLNxgMcd9hjCfHrEgGBl4ruac4YiZMzGYzCgsLQ04uhULBvQBlHgyeFyRe7ZIykPP8jzVvAgCuGX8J9Gpdt+eljTqYMBYEQSzBVlpaKlY56Qmexy6evw2FXIG5Q2fj7Y0f4avKHxJCJANAxnATrPs74GrzwF7vhDE39jWJGYIgYO/XXfHIpfOi32WvL1sSAZVK1WPDE5vNhurqatjtdrHhSSSaTwh+P5beeRt2vP06zvvqB+ROP048Ns/wfE0C+I/pZgiC0Gt8s9VqxeHDh7Fnzx5xF1IqnAda0Yjnc9cT/RLJvE/Q/iCTyaBSqfqMSWaeOqkgbm9vh1KpDGjjbDAYwoorY0lTPMPOMc/n+2j0JPv8PozJGo5tjZX47eSrArbI2NyTdmrKyMhAWVnZgArO834xjBdXjbsQ5WklOKviNPEx3scqo8KA3d/VAwCad9riKpIB4JRXXkfN11+icPZpfb84yvC4fvW1rvbV8ETafILlFDBvc7iJtjK5HILfB8Hvx5I7bsIly1ZDqdVyveYDfF+TAP7tY/SUuBcqvjlUFRfWAl7aZjuWrd1jiSiS//nPf+K0005DcXFxyBe6XC68+uqruO2222JlW9QJ5UkOVY9YEASxHnFhYSGMRuOA44gTJZQB4Fsc8L4QDcQ+r8eLheN/gyuLzkVTdT32tFVBJpOJi1FmZuaAG3UM1rZYwINdU/LHY0r++Hib0S8yKkzi/zdXtmHI7O6lvWKFTCZDzpRpyJkyLW428M5A1tW+Gp7s27cPW7duhUqlCvA2sxyEUMx4+AnUfvctLLuqsP6vT2PqfQ8C4ON32BO8i1De7WOEa6e0ZnhOTleTJWn9fJvNJrZ212g03dpsHw3xzeKv56abboLZbMaiRYswe/bsbts4HR0duOOOO3DjjTfGJBM3FigUCixbtgyff/45WlpacMUVV4gF4g0GA7KyslBeXh7R1pAkkiNDIoxjb/axclHS5LpoN+oI17Z4wqtdPCOtcNG0k4/kPR7gWbBEouFTbw1PbDYbDhw4AKfTGbBVzlody2QyaM0pOPGZ5/Cf+Zdh/XN/xpBzLuD+98fzOQX4t48xmNhp5kU2Go0oKCgAcCRZnAlnNvdYSVFWu1namjtREEWyRqPBrFmzcN555+H+++/HLbfcAoPhSKF6lUolhickokh2uVzYsmUL1qxZI/41NDTg73//OyZMmICpU6di1KhRUQ9Sj1Rb6mhCInnwSO1jlU6C2zlLQ3a2OnchNzsbU0qmRH2RTYRFPJ50eDrx7x3fYu3BTfjDpFvibU6fZI44IpIbt1ljfnw2z+0H9mPjC8+i7OzzUDjr1JjbkShEK241VIyp0+kMqNu8Y8cOyOXyI621px2H4rlnovbbr7DkjptQ9tRzXK8PvItQXhP3gon0HFQqlUhNTUVqaqr4GLvm2Ww2NDc3Y8+ePZg5c2bEjhkrlGzSeTwe/PnPf8all16K6667DuvWrcPzzz8v3inI5XL4fL6YN9+IBE1NTSgoKIBOp8OUKVMwZcoUXHTRRbjtttvwl7/8BaecckrMbOE9lhYgkTxYfD4fvF4vWlpa0NLSIjbqYB0TWU1iFj/o9Xsx74urcbCtAW9f+PeY1Ojlcex4ubh4/V7c/vX9cPs8uGjImVAhfnZJ49JtNhsO1tWJz23btg2dGYeRkpICY0ES2g50omm7DX6/ALk89jbXfPMldrz1Oqx7dnMhknmc47FGq9UiOzu7x4Ynhw4dAs48H/JlP6Fx3RooP3wPFdf+hlsxyqtdDN7tY8TCzuDyh16vt8fQH54RLVYqlbBYLDj//PMxevRoXHjhhTjllFPw2muv4fjjj4dGo4FcLo9IXeGnnnoKf/jDH3D77bfj+eefB9B1x3vnnXfigw8+gMvlwpw5c/CPf/wDWVlZ4vv279+PBQsWYMmSJdDr9Zg/fz6efPLJPgc+IyMDO3bsQGlpacDEuOeee6JWJ7kneBZ3DBLJ4SNNbJAmdrLnsrKyUFBQ0OsOxbe7fsLBtgakJadgTvnJUbeZ50Wch3Nq1BhwUskM/LBnGX6oXY4zUmNX6zdU9RLgSBOAtLQ07EMHACAvNxdyObBv3z4osj3AAcBl92LbL1UoHN3VlCiWmfa13/yvgUicq1pI4XGux1NIhWp44na7sb6lEVv+8jSg0+PAgQOoq6vr1l67t4o5sYJ3EZoo1S3i4fGWyWRcn7ueED3JzFMMAOXl5Vi3bh3mz5+PefPm4c9//jMuu+wyKBSKQXuS165di1dffRVjxowJeHzhwoX4+uuvsXjxYphMJtxyyy04//zz8csvvwDo8s7NmzcP2dnZ+PXXX1FfX4+rr74aKpUKTzzxRK/HlMlkGDJkSLfHVSpVxOokhwsv4q43pK0reSYe4yiNvWKiWNqoo7CwECaTCZWVlUhPTxez03vj/9a9BwC4etzF0CpjcyHifQ7Gm9PLT8YPe5bhl7q1mJtyYlSOIb3BYn8Oh0OsXpKZmSnmRLDfZE1Sh/j+lNRUlA7vciK0z9qMFWsrAQD71zei2X0QPp8PRqMRKSkpotiJltDxOzvRsGYlAKDk9DOicoyjBd5+e2q1GtNuvh3jr5yPHTW1SElJQXp6uuht3rVrF9rb25GUlCTOo2g2POkN3sYuGN5FPCNRxDwPBHiSpV5VpVKJRYsW4ZlnnsHChQuxbds2uFyuQYnK9vZ2XHHFFfjXv/6Fxx57THzcZrPhtddew6JFizBr1iwAwBtvvIHhw4dj1apVmDZtGr7//nvs2LEDP/74I7KysjBu3Dg8+uijuOeee/DQQw8NKE56oHWSB0MixCQD/Iv5WNjH6pVKRXFwo46SkhLo9fpuC064C9Duw3uxtOZXyCDDtRMvjcbX6AavizhPds0smQEA2NCwFc4Rroh8ps/ng91uDxDFXq9XrF5SWloKk8k0oLUsZ8yRWECdIx0zZ41AR0cHLBYLrFarmIHOGgUw4azX6yMy7p2VO+H3emEoKISxuHTQnxcJeBYsvNklk8uhTUmFsLcGcrlcTF5n4ZYej0csA8biS9lNmFQ4R7sMGM/nFODfPkai2MkDokgODqVg9Xx///vfY/z48bj11lsHfbCbb74Z8+bNwymnnBIgktevXw+PxxMQG1xRUYHCwkKsXLkS06ZNw8qVKzF69OiA8Is5c+ZgwYIF2L59O8aP73/ZJrVaHfMY60SISQaOTZHsdru7tXNmjTqYiOmrUUd/7fu/9V1e5NPLT0aRuW+vc6Tg9dzyYteQ1GLkGbNxsK0B2y27cCJO6PdnSBNXpMmaTFAUFRVFzBuXPfpIGbjGbVbIZDLodDrodDpxN4M1CrBYLKivr0dlZSVkMploT0pKSq8lw3qjc/sWAED+SSfTxbcPeJnjofD7/aj/8Tusef8dnPPZN1D/L3lfpVIhPT0d6enpAI70D2DeZtbwRKPRBIjmwTQ8CQXv4i4REvcEQSBPcj8QV8MRI0Z082AoFAr4fD6ceuqp+OGHH/Dcc88N+E7xgw8+wIYNG7B27dpuzzU0NECtVncrD5KVlYWGhgbxNVKBzJ5nzw2EeHiSeRefDN7tHKx9wY06bDab2JLTaDQiMzNzwI06GH3Z53B3YNHmTwEA/2/ylQM6xkDg/dzygEwmw4nF0/H+ls+wqXV7n68XBCGgdqjNZhNLIJnNZuTl5cFkMoXd7KG/pA7RQ5WkgKfTh8at1pCvCW4UIE3islgsqKurg9PpDPAOpqSk9FkTXhAEdG77n0g+YWakv9pRCa9CSvB4sPOFZ+E4sB+rn3gYJzz5bMjXSW/C8vLyABwJRQtueMJK0PW34Uk324Lan/MI7yIeiN84JmxMMhMAP//8c8gXsDbKBQUF+Otf/zqggxw4cAC33347fvjhB666soTTcS/SJIpA4d3O/toXqgSbtN5jVlZWRIufh7MY1FoOIF2XhnRdGmaVHheR4yYyvM25k4qn44Mt/0aLy9rtOdYBLTjBju06ZGdnD9grOxDkCjkyR5pwcF0rWqvb4XZ4odb1fuxQSVzSBhW1tbXYunWr6MBgIRrBCYFepxO+DgcAIP/EmVH7jv2FV8HCq10AIFOpMPb+h/HrDddiyz//gaEXX4as8RPDem9wGbDgbm3ShifBSYHh/E5IJEcGtpPNu528ENYKLk3kGohXbf369WhqasKECRPEx3w+H5YvX44XX3wR3333HdxuN6xWa4A3ubGxUSxdk52djTVr1gR8bmNjo/jcQIiHSJbL5RRuEQF6+4H7fD7Rq8dEscvlEgub5+TkoKKiAsnJyVFbKMIZv5FZw7D+pu9xqK0Rclnstr54P7e8cNbw0zA5bQxaDh5GR0eHOJ+sVqsYmy5tDx6p+N6BkjWqSyQLAtC0w4b8yWn9/oykpCQkJSWJ3bWk7ZBbWlpQXV0Nn88nipyUlBQkJSWh+IVXMX3kCOiycyL9tYgYIggCMmecgKEXXoJdH3+IpQtvwUU/roB8ADd7obq1sYYn0jbHTqcTer0+wNvcWxMlnsVdIoQxsLWfdzt5oV8zf6CDOnv2bGzdujXgsWuvvRYVFRW45557UFBQAJVKhf/+97+44IILAABVVVXYv38/pk+fDgCYPn06Hn/8cTQ1NYl193744QcYjUaMGDFiQHbFKyY5EQQK73Yy+wRBEFuJMxHDYj9Zl5/c3FwYjcaY12gMZ/zkMjnyTSQseIKFIdhsNlibLOjo6MDq1avFCiYlJSXclMSSkj3aLP5/wxbrgERyMKHaITscDnFLvaqqCg5Hlxd5n8WKFMiQkpIStU6R/YHX9YtnbyOz7fgn/ox9P36P5s0bseVfL2PcgsHnJAE9Nzxholna8CTY28xim3kdO4Dvc8uIl0ee199jX8RENRgMBowaNSrgMZ1Oh7S0NPHx66+/Hr/73e+QmpoKo9GIW2+9FdOnT8e0adMAAKeddhpGjBiBq666Cs888wwaGhpw//334+abbx7wxYrCLXqGVzuZJ+Lw4cNwOBz45ZdfxEYdJpMJ+fn5MJlMfcZRRpu+xm/VgfUYlzMqZiXfpPB6buNlF0tok4ZOsJus5ORkuN1uTJo8CWoV351GsyQiOVqd92QyGfR6PfR6vZgQaLVYsGr1amg0Ghw6dAg7d+6EQqEI8AzGMvQk2F7e4PG3J0UmkyE5IxMzHn4cS26/CasffwhDzjoXhvyCqBxPq9VCq9WKOUYBN6lWK+rr69HR0YHk5GQAwMGDB5GWlhayqlC8SQSRzHayeRs7Xulx1XK5XFCpVDEbyOeeew5yuRwXXHBBQDMRhkKhwFdffYUFCxZg+vTp0Ol0mD9/Ph555JEBHzNe4Ra8L5IAH3YGN+pgdWRVKhW0Wi0UCgVGjhwZ9VbiA6G3hbKloxVnvXMVdGodVt3wNbINmTG0jE/hECuYJ1Qqijs7O8VQnNzcXAwfPlxMLlq9ex3uXv84ZNvk+Pm3X8bb/F7JGnWkwkXDVltMjtl+sA4fzZgAVcUInPbNfyFXKESRw8rP7d+/H263W0zgYrHNSUlJMbGRR3j9DUpF3ogrr0Hl+++iftWv2Pv1Fxh7w80xsUEaK19YWAig60a2paUFmzdvFkvQAUea7ES7Dni4JEp1C4DfOcgbPYrkZ599FmeccQbGjx8flbujpUuXBvxbq9XipZdewksvvdTje4qKivDNN99EzAa1Wh2X6hYUkxwa1m1MWobN7/fDYDDAaDSiuLgYRqMRWq0Wzc3NqKmp6VYRhSd6Gr9Fmz+D2+fBCHN+zAUyI943QLFC2vyF/QFHEuz6SthMS07FdutuCBDQYG+K2/kKh+RUDYx5SWg72InGbdaYeLXqViyFu60NspYWyP7nUJGKHABiSBQTzTU1NWhra4NWqw2oohHp5hS8znGevY1S22RyOU5+/h9w1B9EwczZcbVLrVaLIT8TJ06EXC5He3s7rFYrbDabWAecNeKRlqCLpceU53PLSAQhzxM9iuQPPvgAJSUlURPJPEDhFj0TbTulHj0miqXJUL016oiFfYOlJ/sEQcCbGz4EAFw7ITbNQ4Lh9bc82HPKxJhUELe3t4u1W9PT0zFkyJB+lfVL0ZowxFCIPfZ9WF67EhePPmfA9sWCrNFmtB3shNPqge1AB8yFuqge78CyJQCApJFjenyNTCYTEwJzc3MBBCYEHj58GHv27IEgCAECx2w2D6ixSvCxifAJ/v2lDqtA6rCKOFkTiNQDKpPJYDAYQjY8sdlsAUmm7IZY2vAkWvMiEbRSvJILE7YEXE9PqNVqOJ3OWNoScyjcomciLUJZow6pKAYgJkMNGTIERqMx7ItiIojkUKzYtxp7WmugV+tw4agzY2zVEXgeu3CRxi6yP2l8unTnYTCMSx2JPfZ9WFa7inuRnD3ajN3/qQcANG6zRVUkC4KAuuVLAQDJo3oWyaEIlRDIPIMWiwWVlZXo6OiATqcLaKvdn4RAXuc470KqJ9vaD9ahbsUyVFx6RYwt6qKvMIHeGp7YbDbU1NTAbreLJQ1ZrLw0KTASNvIW+hcM7/OPN3oUybm5uXGP74k2arUaHR0dMT1mIoVbDNROv9+P9vb2AFHMGnWYTCZkZmaivLx8UBnwvP/IexLxb6z/AABw0aizoFdH18vXE7yPXU8EJ9ixWtfsQpefnx/xDl9Al0j+eN83WF6zkvsLTECFi61WDDsjN2rHsu7ZDcehg5Cr1dAOHZy3MZRn0O12iyEarOoBSwhkwrkvgcPzueKRnua3ve4AFk0bB6/TifRRY5A+anRcbAPCP6ehGp74fD5xB4PVApfGy7M5NdDyoLyvD8DAS/keq/QokhcvXizG6R2tA0rhFj3THzt7a9TBGitEslEHs4/3m43g8TvsaMGXld8DiF+oBYPHOSidc8EJdm1tbWKGe6xqXTNGpwyFUq7EfttB1Fj2ozS1KKrHGwxZQe2pownzImdNmgK5RhPx86BWq5GVlRVQ9aCtrU0Uzvv27YPb7RY7BDLhzFPDqlDwLKR6ss2QX4DCU+ag+vNPsfR3t+KC//wkxqDH27b+oFAoujU8cTqdomjet2+fWN1mINVZeD63jHjYyMq1JiI9nnXeF5pIQCK5Z3qys6dGHXq9PqAmcbTFC+8LUajx+2nvz/D4PZiQOwZjc0bGyTI+x87r9cLlcsHhcGDz5s1i0ia70SorK4PJZIrojVa4aBVaTM4bh5UH1mF57SquRXJauQFKjRxelx/1m6xRPVbd8q545JzjT0JbVI/UhVwuF0ULcKT6DRM41dXVsNvt0Gq1SElJgcvlQkdHB3nO+kFv16YTnvgz9v/3ezSsXYWd772FEVddG0PLoiPupPHyrOEJuxlj86qurg6dnZ0BDU9MJlPI5kGJkBSXCDbyROwLV3KERqOJeXWLRIpJ9vv93Uqwtbe3BzTqyMvLg8FgiHkNVN5vNkLZd/HoczAuZxRszlhIit6J59gJgiDuPkgT7GQyGbRaLTIzM3tN2owl7GIyb9gpSE0yI9/Id+MXhVKOrNHmrvbUe+xw2T3QGKJzY5EzdTo6m5uQd8JJaGuPbdgaENjRTZoQyMRNU1MT9uzZg+rqaphMpoDY5njcbDF49jb2Zps+Nw9T7v0Tfrn/Hvzy4B9RcsZZSEpL58K2SBJ8MwZ07ZayeXXw4EHs3LkTMpmsW8MTns8tIxG6AvLEMS2SlUolvF5vTI8p7RTH24/J6/WKiVAOhwO7d+8OKMFWUFDARaMOgH+RDIQWokPTh8TBkkBife5YjLpUFLvdbjHBrrCwECaTCfv27YNCoRBjUnni1unX49bp18fbjLDIGZcitqdu2GJF0XEZUTnOuJtuw7ibbkNnZyd2LlsWlWP0F6VSKSZvNTU1obS0FDqdTgzRYI0pmFeQCedYhO0weFz7pfRm29gbbkbl+++iZftW/PrQHzH776/GzK54jptGo+kW+sMSTaXzSqFQiLX8zWYzFzf6wZAnuX+IIpkJN95OaDSJV1tqIP4LJcv8lSbXsXJZLP4qIyMDJSUlXGbr8i6Sg+1rdzvilqgXimiOnbQUE5tb0gS7vLy8qCTYEV3kjj/S8vfQRkvURDLvsOsZSwhkjSmYV9BiseDAgQPYtm2bKGqYcD5W52df1yW5UomZf/kbPjn9ZOx89y2MuPIa5EydzoVtsYTl3BiNxoCGJxs2bIBCoUBjYyN27doFQRDEmHnmbY53KGu8xjFhS8CxAfv000+xceNG3HDDDUhPTz8muiHFQySzm5B4NupgwoV5iVm5LJPJJFY02bJli9jVjlcSRSQfdrRg7IuzcWrZSXj57KeRpIrvIhnJhYrdbElFsTTBLjs7G8OGDQvLU8frAiqdZ7WWA+jwdGJE5tA4WtQ7UpFcv9ESlWPUr/oVKcMqoE1J5fp3GIpgryBrdc+Ec21tLTweD4xGY0CIRqTEDU9iL5hwbMuZOh2jrvst1AYj0vtZ+m8w8DxuQJeeYE1PioqKxORj5m1mDU+kTXTi1fDkWHKGDhbRk+xyufCXv/wFL730Ek4++WRcccUVmDRpEtLT06HT8eMBiyTxStwDoivweqoMkJSUBKPRiPT0dJSWlva6FZRonlrekC7mH2z9HO1uB2otB+IukBkDHTsmKKSiWHqzVVZW1q9615GyKxb8a917uOvbh3B6+cn48NJ/xtucHskcaYJcKYPfK+DQpsiLZJ/bjS8uPAuejg5csXozNHn5XIqXcOeSQqFASkoKUlJSUFJSIiYEshCNPXv2iN3cpCEaBoOBy+89GMIds5OefSEuFRJ4H++AjoUyGfR6PfR6PfLz8wEENtFhDU+8Xm+At5kanvCFkg3W5Zdfjssvvxw///wz7rvvPlx00UUYPnw4TjnlFJx22mkYPnw48vLyjqraySqVKi5tqQFEtHwZqx8rLcEGQNwOGohwSQQRyrN9wJEQpnc2LgYAXD3+ojhb1EV/FshQHexUKpWYCFVcXBzxdsK8MjlvHADgl31r4PV7oZTzmdKh1CiQOdKEhs1WNO9sg7vDC3Vy5GxtXL8WHocD2rR0mIeUoZPjplMDEQPShEBWX9fj8YgewcbGRlRVVQFAQIhGuNVXeBcp4dgmfY3g98PT3g610RhNs7gfN6DveN9QTXSkFVqkDU+C22tHKjmeqr30j26jfvzxx2PkyJHIysrCX/7yF/z+97/H7bffjqFDh+K0007DaaedhhEjRsTD1oijVqvjkrgHDNxjJk2CYqLY6XRCp9PBaDQiKysLQ4cOHVSjDmYnzyKU98WSjd/ag5tQeXgPkpRaXDAyfh32ggl1bkMl2LHyfiaTKeqJmzyeU6lNo7MqYNaaYHXasOHQVkzJHx9Hy3ond1wKGjZbIfgFNG61omBq5KoQsNJv+SfOjHmt3HihUqmQkZGBjIyu+G5BEGC328UQjUOHDollwpinOSUlBUlJSVzO657orxBt2bkDP912I/S5eZj71vtRtCwxRHJ/bQxVoUUa/iOtB85265hwPpobnvBEj7cmfr8fhYWF+OCDDyAIAl5++WXceuutOO+88/Dxxx8fFXcjarU6bp7kcAWo0+kMiCOWdhkzGo3IycmBwWCIeEkj3pt1JIqIf/t/XuTzRsyFSWuIp0kizDYWp87atra1tYlljUwmk1jzOpbl/Xg8p8wmhVyBE4qn4svK77GsZiXfInlCCja8VQMAqN9kibBIXgqgSyTzTDTnkkwm65a4xZpSWCwW7N+/X0wIlMY1814mrL+2CT4fmjauR+O6Ndj34/coOuU0bmyLB5GI95WG/zBYKVar1YoDBw5g+/btYvdJJpzD3cmg6hb9I+TVLzk5GZ2dnQCAlStX4tdff8WKFSswdepUnHfeeQD49Pr0F5VKFRdPck8C1OfzwW63B4hit9sNnU4nihaTyRQT70QiiFBeS+kBXfa1uzvw6favAQBXxTnUgm3rsYXW6/WipqYGSUlJMJlMEduBONo5qWRGl0iuXYm7T7gp3ub0SM44SYWLDZGLS/Y4HGhYuxoAkH/iyRH73GgRy7ms1WqRnZ2N7OxsAEc8ghaLBRaLBXv37oXX64VcLsehQ4fEerw8hTD2dz1NHzUaY264GZv/8Tcsv/d3uPyX9VBE6fvwutZLiZaNrOEJm1t+v1/cyWC1m9lOhtTbHKrhCSXu9Y9uItnn80Emk2HTpk2444478NFHH6GsrAy33norLrqo60J/NHiRgfjEJANHvLSsBJu0UYdKpRK7jOXn58etFFEiiGTe+anuZzg8HShLLcH0gkkxPTa74ZKGTvh8PjF+2Gw2Y9iwYQNOsIsGvM85AJhZ3FXuas2BDej0OLlJxAwma7QZMrkMgj+yyXuHVv0Kv8cDQ34BTCWlAPj0/vNAsEeQVYJZt24d/H6/WO0gOTk5ILY5lLCJFQM5l1PvuR+7P/kItuo92Pji85h05z1RsOzYFsnBSEtqFhV1dQBlDZpY3ebKykoACPA2m81m8iT3E1EkezwerFq1Cu+//z6+//57aDQaKBQK/PLLLygpKRHfcLQIZCC2Mcler1cUxH6/Hxs2bBBFC9uyMxqNXDTqAPgXLLzUm+4JmUyG43Om4IkMM1KTzFG3MbiDnd1uFxPszGYzioqKRIFcVVUFpVLJlUBm8DznAKAsrQQ5hizU2xuxum4DZpbMiLdJIVEnK5FRYUDTjjY0bbfB6/JBqRn8zfZBFmpx0skBc5rH3yBva4NMJoNOp4NKpUJhYSGysrICEgIbGhpQVVUFmUwWUOnAbDbHNOSpv2OmNhpx3MNP4Icbr8O6vzyFYRdfBkNBYcTt4u18hiLeDU8yMzORmZkJILDhic1mQ1VVldjoRKFQYN++fWKVllhpOt7PXyjEOsk//vgj5s2bh1mzZuHpp5/GBRdcIL7I5/NBLpdDJpMdNQIZOBKTHOmJLa0dy7zEDodDbNQhl8tRXl6OzMxMbusQJ5JI5hGZTAaT2oCbJ10b8c/2+/0BJf5Y8ibbasvPz+emM+LRhkwmw4Mn3wm9RocJuaPjbU6v5IxLQdOONvi9Apq225A7IXXQnzn6NzfCXFYGcxm/daITieCEQOk2usViQV1dHZxOJwwGQ0Bsc7RC7gZ6LRx68WXY/tZrOLTyF/x8/z1RSeJLBJHMk5dW2vCE4fF4UFlZCZvNhubmZrGrrjSuOZI1wY8GxBJwkyZNwvr16zF+fPdkFF6F3GCJVDMRlgDFRDHzFrMJWlpaCqPRKMae/fzzz0hOTuZ6XHkXyQyebYyUbay2prTuNQAxLCcnJ6dfCXa8nlteLi5SQtl02djz4mBJ/8mdkIrNi/YB6IpLjoRINuQXYMRVkb/xO5boTeyF2kZ3Op1izeZ9+/Zh69atUKvVATWbI9WQYqBCVCaT4cRnnseHM6ehbV8t3O3tUOv1g7YnErbFEt7jfVUqFZKSkiAIAsaMGRPQ8MRms6G6uhp2u11seMJE87HagRKQhFsYDF2Z9+vWrYPH4xH/3G43PB4PXC4XvF4v7HY7cnJycNZZZ8XN6EgxkGYizIsnFcWsUYfJZEJ6ejqGDBkCnU6XsI06gMSobgHwKZLdPjdu+fGPmJY2HsNHDYdaEX5YgzTBjv05HA5otVqYTCZkZGSgrKxs0HGLPI4bwKddPNoUDgHJe1FoKsLgdXx4FVX9HS+tVoucnBzk5OQA6NrZtdlssFgsYkMKn88nChomnAcSTjWYc5k+ajTO/+oHZE2eCnkUBBWv51NKotjItElfDU8sFgtqamrEDpRS4Zxo5Q0HiiiSN23ahBkzZkCr1YoZuHK5HAqFAgqFAnK5HBqNBu3t7TjllFOOGZEc3KiDlcliXrzMzMyjrlEHwL+NPIvkb3f9hCUHfsWWpp24a94tvb42VIKd1+sVa2KWlJQEtAuPBMfCwhZtNhzaiu92L8HMkhmYXhjbpMxwyRlrFv+/PgIieftbr8HrdKJ03tkw5BcEPEdzqn8MZrwUCgVSU1ORmtq1MxDc/pjFniYnJwfUbO6rcg1bSwdjW8606MXoJ4oA5d3GwTY8YbsZKpUqoLShyWTqcTeTx+t0uIjfaMKECaisrIRGo4FSqQwQyEqlEkqlUpwAsUwiiCbB4RbBzRTa2toCGnVkZ2dHpEyWXC7n2ksLkEgeDIs2fwoAOC3/xG5d2VwuV0BtYrvdDqVSKS4yhYWFMBgMUd/a4nHceL+4SHln02K8vv59WJ22qItkqWensaFBfHz37t2QFXUgJSUl5Ha7xqBCWrkBLbvtaNxqhc/jh0I18K3gTf/4Gyy7qmDIL+gmknmEV8ES6d9eKG+g2+0WRc2hQ4ewc+dOsaoNE849iZpIjJmnowMb//5XjLjyGujz8gf9eQC/51NKotjYn5CQvhqe2Gw27N+/X4ydlwrno6GkqPgLUavVGDo0dDJGc3Mz1q9fj1mzZsXMsGgjCAIOHz4Ml8uFBQsWYNOmTaioqMD1118vxhJHq5kC7wIU4N9GXn94Te2H8cOe5QCA0/JOFG+62GLCbrpMJhPy8vJiVvdaCs/nlle7gjmpeDpeX/8+ltWsjPhnu1wucb5YrVa0t7eLMYI6nR5AV0y6wWAQ6+/6fD5RADERpFQqkTsuBS277fC6/GjaYUPO2JTeD94D7YcOwrKrCjK5HHnHnxjBb3tsEu3fu1qt7lbpwG63i7HN+/fvF7u4sXnDErwiYdtPt9yA3Z8tRmtVJU5//d1Bfx5wdArQeBCJcQzV8IQ107FarairqxMbnkibUyViQmCA+uvs7MT27dtRU1MDp9Mp1hBeuXIlXn/9dTz33HOQy+W49dZbE2LCSuns7MTatWuxatUq8a+pqQk+nw9utxvXXHMNZs6ciWHDhh3zjToA/m1k54gnj7zX68Vbaz6ET/BhmHEIzD491q9fL4bmZGdnw2g0Rrw74kDg+dzyRE9rwQnFUwEAO5t3o7G9GVn6jAF9vrQSDrvAsEolrHSftOFEg2G7+N7s7GyUTsgSt9tZ04pDhw6JXh1F/pESl/UbLQMWyazLXsbY8dCYzAP6DKKLeFw7pQmBDLaFzuJO7XY7AGD79u1ITU1FSkrKgMuDTVh4F/Z8/gn2fPYxDsy/DgUnDd7Blgiag6fqFj3h9/ujEg0Q3EwnuOGJx+PhfmxCIY5Ue3s7brnlFrz99ttiUhALtRAEAUlJSXj22WdRUVGRkCL5u+++w4IFCzB9+nRMnz4dCxcuRE5ODsrLy/HKK6/EtGasXC7nXqQkgo3xnH+CIMDpdAbEEre3t4uhFmeVngK9Xo9JkyZx51ng9XfL+42ZlLTkVIzOqsDWxkr8un8dzhsxN6z3SWuXMm+xz+cTb6SGDRvWa2xfKKTb7QUFXWEQrCKCq+KA+Lp1X22HaqJD9AAlJyeHPRcOrfwZAJB3/Elh2xVvEu0aFWtYFzeWEOhyubBkyRLo9XocPnwYe/bsEcuDScvPhXOtzBg9FqOu+y22/t8rWH7P73DpirVQDNI5kAjnM1FsjMU1SXpjVlBQwP249IS4Ere2tuKrr77Cr7/+imnTpgW8aP369Tj55JNx4MCRBbe/g/zyyy/j5ZdfRm1tLQBg5MiReOCBBzB3btfFZebMmVi2bFnAe2644Qa88sor4r/379+PBQsWiD/k+fPn48knnwzrgnL22WfjnHPOCThRTU1NALoWh1iKZN4rRwCJIVhiaSO7K5aKYo/HIybYFRcX44CrHnt/2Q+1QoWLx5wDe7ONO4HM4P3c8kRPYzUlfwK2NlZi3cFNPYpk1kSICWKbzSbGhrIyX9Eo5s8qIqScm4YlN9QAADx1Smg0Ghw8eBA7duyAUqkUBXNfXsOGtWsAADnTpnd7juZS/+BVSLE8iJKSEqhUqoAdCqvVisrKSnR0dECn0wXENvcUdzr1jw9iz78/gaWqElv/9TLG3XTboOzjddykJIKNieDt5glRXcpkMjidTkybNk1sTS0IAhQKBbxer7jd5/F4BrRdnJ+fj6eeegrl5eUQBAFvvfUWzjnnHGzcuBEjR44EAPzmN7/BI488Ir4nOTlZ/H+fz4d58+YhOzsbv/76K+rr63H11VdDpVLhiSee6PP4oRZ/JowjUSu5P5AAjQzRtJFVNZF2sGPxVUajMWTL8LpDjZhZMgNmrQkpSSbYYYuKbYOFFsjIMCV/PF5bvwhr6jaKj7GEKWk8MWsilJmZiaFDh/bLgztYtCa1mLzXsrMdpcVDoByqEBNvWBmxPXv2QBCEgLhm5tF22WxordwBAMieNCXkcWhOhQ+v62pwdYtQOxRsflssFvFmS6FQBLTVNplMUCgU0JpTMP2BR/DTbQuw5qnHMPTCS5CcmTUo+3ifZ4liI6/OGx4RRbLZbMYNN9wAoHvzkOHDh+PBBx8EgAHHUwaXjHv88cfx8ssvY9WqVaJITk5OFuNZgvn++++xY8cO/Pjjj8jKysK4cePw6KOP4p577sFDDz00IE8w+y4kkrtzLNnIPCZSUdzZ2Ynk5GSxWUdFRUWf4mZC7mh8fuVb8Pl9aG1p5Xr8eLQtEeaclEl5YwEAuw/vxbYd22C32dHZ2Sl2PiwoKOCie1XehCPJe8072pAzLqVb4o0gCGhvbxfjmuvq6uByuWA0GiGr2w+ZXA59XsGgRE6s4Vmw8GhXOL+9UAmBbKfEYrGICYGspq551mlIHzMOh7dswuonHsHJz780KPt4HDcpZGPP8D4uPRHQTOSZZ56Bw+GA1+sV/3w+H3w+Hy699FIAXXeSlZWVGDNmzIAP6vP5sHjxYjgcDkyffmT77r333sO7776L7OxsnHXWWfjTn/4kepNXrlyJ0aNHIyvryCI9Z84cLFiwANu3bw/ZKbAv4uVJTpQScLzbCAxM7LEtcGmpP9Yh0WQyoby8HCaTacA3hAq5YsC2xYJEXazijbREJIspfn78AxiZXYEkTRKyy7MHNW+iRc6EVGz5cD8A4OD61oAmIwyZTAaDwQCDwYDCwkIAXYldFosFFqMRoz/4HNb9+7BixYqAEI2kpKSYfpejAV7XBUZ/1gcWOmQ2m1FcXNytpm5NbS00F1wKY7IOSXPmYd++fTCbzQMKMeJ93ARBSAgvLYVb9A9RJLtcLkyfPh1arRY+n0884UCXiNRoNFi9ejXq6+tx3XXXYd26df0+2NatWzF9+nQxe/uzzz7DiBEjAACXX345ioqKkJubiy1btuCee+5BVVUVPv20KxGqoaEhQCADEP/dIKkd2h9YkxRWxSNWJILH7GixsacEO7YFnpaWhtLSUuj1+kEtbl9V/oBJeWORbcgM27Z4wrNtvMAavfh8PmzcuFFsJCRNRplhmMF9u9a8CZLOextageuHhPU+ltiVm5sLjBwZsNV+4MABbNu2DWq1Gnq9XvQoGgwGbi7APM9xXsZISiSaiYSqqeudOhW2K66CxWJBc3Mzdu/eDUEQunUI7OvmkncBGonxiwW8jyNviCJZqVRizpw5UKvVYhMRaTMRs9kMAEhJScHNN988oIMNGzYMmzZtgs1mw8cff4z58+dj2bJlGDFiBH7729+Krxs9ejRycnIwe/ZsVFdXY8iQ8Bb1gaBWq+H1evt+YQThXUABiWtjsLePJdixLfCioiKYTKaIboG3dlpx7ae3w+v3YcPNP6AkpZDrhZJX2+I951gcenCjF0EQkJGRgfLy8oQsjp8zLgUyGSAIwKGNA++8F7zVztojNzQ0oLW1FWvWrIEgCAGeZhafGi94PFe8bslHS+QFd3BzWi3wKJRiQuDOnTvR0dEhlj1kwjk4vI3361EiiWQKtwgfUSQrFAo8+eSTPb6wpaUFAGA0GnHttdcO6GBqtRplZWUAgIkTJ2Lt2rV44YUX8Oqrr3Z77dSpXXVI9+zZgyFDhiA7Oxtr1qwJeE1jYyMA9BjHHA4qlSrmnuREKa+WCDZ6vV4cPnw4IHRCWnomVIJdpPlk+9dw+zwYnVWBkpRC8XGex49n22IB22GQlmJjmfts3phMJrjdbmzZskXsZBZMg70JD/30LOpsh/DV1ZFpmhBpNAYV0ocZ0VzZhsatNnhdPig14f0eLLt34Ycbr0P+iTMx48HHAp5j7ZGVSiXq6+sxa9YssWGFND6VlRBjHsNYVhIiwifaa4LTasGKe+9E3YpluGLVJhQWFoqhPayBjrQRBau+woSzz+fj2gOaKCKZwi36R7faae3t7WIjEa/XC7fbjebmZlxxxRX45JNP4Ha7MWXKlIgMst/vh8vlCvncpk2bAECs4Th9+nQ8/vjjaGpqEj0ZP/zwA4xGoxiy0V9kMhlUKlVcEvd4j/flUSRLGy/YbDa43W5s3rxZTLDLzs7GsGHDYlo9AADe/19t5MvGnC8+xuP4MXhdIKNpF0tMk1aeYCX8zGYzysrKQsYT97U26DU6fLj1c/gFPw61NSDXOPAb9miSOyEFzZVt8Hn8aNxmQ97E1LDeV79mJZo2rIMyjJ0XmUwmdistKioS41OZaK6qqoLD4YBerw8QzdHqOMmzx5ZXu4Do/Q5VScloWLMKjkMHse6vTwfcdGk0GmRlZYkhlH6/PyD2v7a2Fm63G2q1Gjt37hTnTryTYqUkikimcIv+ESCSV6xYgfvvvx/79++Hx+MRf8x+vx8NDQ0455xz4Pf7sX///n5PhD/84Q+YO3cuCgsLYbfbsWjRIixduhTfffcdqqursWjRIpxxxhlIS0vDli1bsHDhQpx44oliguBpp52GESNG4KqrrsIzzzyDhoYG3H///bj55pvF8nQDIR6eZJ4FFIMHG1mZKmk8sTTBTqVSYdiwYcjIGFi3s0iw63A11h/aAoVMgYtGHangwsP49QTPtkXKLuncYcIYgBgHmZeXF5EdBr1ah5GZw7C1cSfW1G3EuWE2FYk1uRNSsXnRPgBdccnhiuSGtasBANmTpvb7mNL41Ly8PABdIS1MNO/btw9bt26FRqOB2WwWu7yxZlZHM7x+v2japdBocPzjf8bXl1+ATf/4G0ZcdS3MpaFDKeVyebfqK9u3b0dHRwf8fj+qq6tht9uRlJQUENc82NySwcAcX7wLUPIk948AkXzrrbeioqIC11xzDbRarRiT7HK5cM011+Dvf//7gO/6m5qacPXVV6O+vh4mkwljxozBd999h1NPPRUHDhzAjz/+iOeffx4OhwMFBQW44IILcP/994vvVygU+Oqrr8SueTqdDvPnzw+oqzygAVAqqQRcCOIREhIqwU6lUokX0JKSkoBFsLm5Oe5JU4s2fwYAOLXsRGTq0+Nqy7GMx+MJ8DzZ7XZx7qSlpWHIkCFRE1+T88dha+NOrD24iWORLE3eCz8uuWHN/0TylP6L5FCo1eoAj6HX64XNZoPFYkFjYyOqqqogk8lE0ZOamjrgmxle11ie7Yq2eCo+/QwUzj4V+//7A37+4+9x5vufhPU+mUwGpVIJvV4v7hx7vV4xkZTNHQBieAb7i1W1GfIkH50EiOSqqip89tlnKCkpCXiRx+PBlVdeiblz5w44nuy1117r8bmCgoJu3fZCUVRUhG+++WZAx+8JtVodlxJwvC6UjGgLeWmCHftzuVxi8kZBQYGYYNfTohPvmw2f34cPtv4bAHD52PMDnou3bb3Bq239ubh0dnYGeIkdDocYdpOXlyduxQ72ghXO+6fkjcfr698PaCrCGzljUyCTyyD4BRzc0BrWewKaiEyOjEgOJjipi3W2lHqbPR5PQFxzSkpK2MKHR8HCc7hFtO2SyWQ44Yln8f5xE1H7n6+x78fvUXTKaQOyT6lUIj09Henp6eLzdrtdvFE+dOiQWLec3XSxsoXRCu9JBOIx/xJlbEKhBI4MWnJycshKDzKZDFOnTkVHR8dRlXRBMck9E2khxTx9wQl2LHQiNzcXRqMxrBbj0bKxv+xs3o3WDgvMWhNOLz854Ll425aohBoz1uxFGk/sdrvFluClpaUwmUxxW5um5HfVaN9Uvw0urwsa5cDDv6KFWqdExnAjmrbb0LTdBk+nF6qk3n9rjRvWAoIAY1Fxr01EIjnPpUm3rO5uR0eHKJpZa2RpXDPVa44MsVqvUoYOw5gbbsaml17AivvuQv5J66EI46anLw+oNCaeJQRKk3P379+Pbdu2iTtMTDhHKrGb6Sgeb4CkULhF/1ACR+62WQULn88Hj8cDv98Pv98PQRCwcuXK+FkZReIVk3w0i+TgBDtWOSApKQkmkwlZWVkYOnRoRMppxVOIjsqqwK7frcTOpl3dhBHPixDvAl7axYvNH0EQxC5eOTk5MS0t1tdYlaYWIS05BS0dFmxp2IHJ+f1vbBQLcsenoGm7DX6vgIatNhRMSev19SweOauHVtRSojXfZTIZdDoddDqdWGHE5XKJorm2tlaMa5aKZr1ez+0c59WTDMRu3Zp8932o+nARXFYrrLt3IW3EyLDe11/7tFotsrOzxQpY0nbsFosFNTU14k6FVDgPJM+J5/MqJV7hFokwNqEIcCUIgoBNmzbh+++/x8GDB+HxeOD1eiEIApqbm/H222/DZDLFy9aooFKpqE5yCPoj5IMT7Nra2uDz+URP35AhQ6Li6eNhHM1aI6YXTgr5XLxtSxTYLkNLSwva2tqwfPlyKBSKHmPReUMmk2Fq/gTUWPbD7nbE25weyZuYik3v1gIA6je29imSFSo19Ll5yJ4yLQbWhY9GowkQPtLY1IaGBlRVVYldTevq6pCVlQWTycTt/OGFWIo8jcmEee9/gtShFVAbjWG9JxL2hWrH3tHRIc6f3bt3o729HUlJSQEhGuHkMySKhzZR7OSFAJH80Ucf4frrr4fZbEZ5eTnUajWUSiXUajU6OztjLiZjgVqtjkud5ET2JLtcrgAvMUuSYnGDxcXFA2o7Gkkbo43D3QGdOrnH53kQ8D0Rb9tYgibzFLOLkkqlgkajwejRo6MWNxgt3r3oJbEdOa9Ik/cOru87eW/iwrsxceHd8Pt80TRr0ATHprKdiFWrVsFut+PgwYPw+Xzd4pr7E9oVSXj1OMbaruwwdiikRMM+6U4Fq8Di8XjEEA1pMimbPywhMHj+JEpCXKLYyQtKoGtRkcvlePrpp3HTTTfhmWeeibddMSNeMcm8CigGs9Hv98PhcASIYtZWXNp0IRJJUgO1MR5c+P716PS48Ny8RzA+Z1S353m8CMYDqaeGiWKn0ynuMhQXF8NkMkGj0aCurg4tLS1ITu755oNXeBfIAJA9xgy5Qga/T+hqTx0mcs7bbgcjl8thNpshk8kwcuRIJCUlweFwiFvsO3bsQGdnJwwGQ4Bo5qnmbjyIl3gXBAG7P12MjDHjkFI+tNfXxcI+lUqFjIwMsbQoSzJnHQLr6urENUwaopEoHlpeb9J4JeBWyOFw4LjjjouXLXEhHp5knkWyx+NBW1sbmpub4fV6sWLFCgAQk2lycnL6nWAXLeI1jntb9+HX/esggwyZutBb1jyf42jaxqoTSJPsWG1rFk/c0/zhceHur00enwcCBKgV/CU4q5KUyBxpQsMWK5p2tMHd4YU6OfTv2ONwQNmPpjw8njuGTCaDXq+HXq9HQUEBgCMJXa2traipqcHmzZvFLXb2F60W5LyKlHitVysf/hM2vPAsik6bi7M+/KzH18Vr3FiCOWuSAxyZP9J630qlEj6fDzU1NUhJSYHRaOTSY8ucorEkERIaeyIgce+KK67AihUrMHHiROTk5IgNRQRBgM/nOyqLvMcjJpmXEnCsI5bUS+xwOKDVasVzPXHixKhdLAZLvGz6cOvnAICZpTOQZ8zp8XU8nOOeiJRtrM4tE8RtbW1QKBRiIkxxcXG/4ol5HrO+uOXL+7B42xd49Zw/81sveXwKGrZYIfgFNGyxonBa6NreK/54N/Z+9QVmPPw4Rlwxv9fP5PWc9WZXcEIX22K3WCw4dOgQdu7cGRC/GinRw3st3XjYNfzK+dj00vPY9/232P/TDyicdWrI1/F0cxEqIbCurg67d+9Ga2sr9u7dK4b4SGs2D6bxWaTgaRwTgQA3QllZGRYuXIilS5fiuOOOg0ajEYVyc3MznnzySbG0ytHCsVTdwufzwW63B4hir9crbhuVlpbCaDRCo9Ggo6MDLS0t0Ov1MbczXOLhrRUEAYu3fQkAuHT0uT2+judFaDC2sXh0Fj7R3t4OrVYLs9kct7bg0SbcOaZSKOH0uvhuKjIxFRveqgHQ1XmvJ5HcsGY1nC2HoTGZY2hd5Al3HobaYmfzXCp62PY622LnYUctUsRLPKWUlWP0bxZg88t/x89/vAeXrjgZ8hDjyrO4UygU0Ov1UKlUmDhxYkDZSqvVil27dom13IM7BMb6OyVKWAgvBNRJ/uKLL2AwGCCTybBixQqx455Wq4XFYkFHR0e87Y04R3NMcqgEO6VSKYZOFBUVQa/XhyylxXO4ACMeNm6o34rq1lokKbWYN+yUHl/H+/iFY5u0lB9b7Fk8utlsRlFRUUS9I4m+cLOmImvrNsXblB7Jk3be6yF5LxZNRHhH2ha5pKREFD2tra2wWq04ePAgXC5Xt7jmvn4LPHuS4ylCJ//+PlR+8B5aK3dg+1uvY/T1v+32Gp5FMhBonzTEh5UudLvdYnfJ+vp6VFZWQiaTiV7mlJQUmEymqN94xSNxj+drYV8ogSO9xj/44IO4GhMP1Gr1UVECThCEbh3snE4ndDqd2IXMZDKFXTWAzQmeF6Z4CNGP/+dFPmPYbBg0vXvZeV0YejqfLEFFmmTn8/nEhi/Dhg2L+iLO65iFg7SpiNvn5jIuOWu0GQqVHD6Pv8fOe6yJiKGwCLqs7BhbGBkiLUalooftpnZ2doohGtXV1bDb7UhOTg4QzYm0qxLP357WnIKp9/4Jy+9ZiNVPPoKhF17cbReD52sR0Lf4VKvV3XYrWHdJaUIgy99gwjmSSfE836TxSrerHduSr6+vF3/0mZmZyMjIOCoHNh7hFpEoASeNBWW1iQGIgiY7OxtGo3HAfevZuU6EhSlW+Pw+fLL9awDAxaPO7vW1vI+fIAjwer3dmnawygBspyEWpfyOFoKbikzKGxdvk7qh1CiQOdKI+k1WHK5sg6vdA40+cI1oXLcGQPhe5ES+sRkMSUlJSEpKQk5OV16CNK754MGD2L59O1QqVTfRDPApUuK9Vo289v9h6+uvwlJVibXPPoXjH30q4Pl429cX/bVP2l2SwW68rFar2ChHrVYHlJ4bTGw80x20podPN5G8ePFiPPbYY2JBdqVSienTp+ORRx7BjBkz4mFjVFGr1dyHW0gT7FjTDhYLajKZkJGRgbKyMuh0uohNfqnI45VYe5IFCHj29AfxVdUPmDXk+F5fy+Ni7na7YbVa0dDQgPb2dqxYsQIajQYmkwmZmZkoLy+Pa5Imj2PWH5tkMhkm543Df3YvwZq6jVyKZADInZCK+k1WCALQsNmKouMyAp5vWNPVaa8/TUR4PHexJjiuWdrdraWlBXv27BHXq5qaGqSnp8dke70/xPM8KlQqHP/o01j5yJ9QPKd7TP/RJpJDEXzjxZxhVqsVLS0tqK6uDkgIZOI53EZd5EnuPwExye+++y7uvvtuXHDBBXjvvfdgMpnQ2NiIBx54AL/5zW/w3nvvYdy4cdxP1v4Qr8S93sQd24aReoo9Hk/I2rLRtBEgkSxFKVfi7OFzcPbwOX2+Nt6eZHZjJS3F1tnZCZ1OB7VaDbVajfHjx3NXG5bn+RYOk/PH4z+7l2Bt3WaA03DevAmpWP/6XgDAwQ2tASJZ8PvR0E9PMo/wIAZCdXez2WxYtWoVOjo6sHXrVrhcLhiNxgBvc6Q7k4YLD9f1olPnoHD2qZCFcPbwYF9vRMM+pVKJtLQ0pKWlicdgCYEWiwVVVVVwOBzQ6XQBorknZwfzJMejpwHP5643xGYiCoUCixcvxtlnn40XX3wRQNcJKS4uxueff46JEydi/fr1GDduHHw+H1d3v4OBhxJwLKBfGjohTbArKCiAwWAImWAXLUgkR4ZY2cfiiaWd7DwejxjfVl5eDpPJBJVKhaamJuzfv587gcwr/TmHJxRNxRlDZ+PEEr5aOUvJndhz8p7X6cTI+dejadN6pI8cHWvTjmpYdzcAGD16NBQKBZxOp9jkhLVE1ul0AaI5Vt0neRGhUoEstYkX+3oiFlUjekoIlIb57NixAwqFIqD0HNuxYGsZhVuET0CdZPbjZEhPOOusBuCoEchAV7gFi+eNBYIgwOl0wu12Y8eOHbDZbKKHz2QyITc3F8OHD497W14SyYH8tPdnrDmwEReNPhtDUov6fH20zx3bymXxa21tbWLr1HBurHg8rzxfAMNlasEEvH/JK/E2o1cyR5qgUMvhc/u7dd5TJSdjxkOPxcmyyMPznJLJZOL2em5uLoBAwXPgwAFs27ZNjEllf6wCVaThaU3wdHRg00vP49CvP+PsT78W13qez2e87FOr1cjMzERmZiaAI23Z2bVh//79cLvdMBgMMBgMALqaoSRiZ9N4ECCSL7vsMrz66qv4/PPPMXfuXNhsNmi1Wjz77LPQ6/XIyspCQ0MDrFYrcnNzYTQa42p8JIi2J5klR0k9xWwx0mg0GDp06KAS7KIFieRAXlu3CF9V/YBOrxMPz767z9dHevzYbgPzEtvtdqjVajEmvT/xxLxfaIjoolQrkDXahEPrLWjZbYezzQOtka/1Z7DwOo/6CgMJFjw+n08sG9bc3Ixdu3YBQIBoNplMEdtl5GVtcNvbsOGFv8DjcKD6809Rdu4FCSGSefDQsuRrs9kM4IhjzmKx4PDhwwCA5cuXi/XtWZhGtJK0WUO6RCXAJdzZ2YmtW7fikksuwbBhw5CXl4eqqirU1NRgypQp+Otf/4qOjg40NjbikUcewdln957hnwhEsi01m4xSQdze3i4mR6WlpWHIkCHweDyorKzEkCFDInLcaMAWo3g0PQmXWC2Ylk4bvt+zFABw0aiz+vXegSwObB5J44k7OjrE3Qa2qzOY0kCJvGjxjiAIqGurh7XThtHZw+NtTkjyJqTi0HoLBAGo32RByYldouzQrz8jbeSofjURobkUPRQKBVJTU5Gamgqga6xZ2TCLxSJ6CU0mU0CTk4HENfMkQnVZ2Rh/2++w5slH8evD96Nk7plc2RcKXu2T7liYTCY0NDRg1qxZ4s3X4cOHxaRSaUKgyWSKW3w8TwSIZJfLhXHjxomtFmUyGcrKyqBWq8UJkJycDLvdjqysrLgYHGkGU92ipwQ7vV4vltBiYkaK1JvMM7zH/MbKvi8rv4fb58GIjKEYlVUR1nv6s1hKa1yzLTKWqGk2mzFkyBCYzeaI7TbwuJADfNo1EJs+2f41rv9sIabmT8D31344aBukGe4N9fXi47t27QIKHUhNTe13WajcCakAqgF0dd4rOTET7rY2fHpmV0vg63ftR1J6Ri+fEAhv546HxL1QDNYumUwGo9EIo9GIoqIiMUGXiWaWyKXX6wO8zeHcUPMm8sbffAe2vfF/aKutwdbXXoUwbhJX9gXD2/iFgtkYKiGQ1ci3WCzYuXOn6JiRlp+LZ/WjeBEQbnHVVVfhqquuiqtBsUapVIYtkoMT7Ox2e0Ctw/z8fBiNxj63vmSy+LSl7i8kkrv4aNsXAIAL++FF7i3cgsUTS8MnAIjzKC8vL6x5NBh4Pa+82tUfxueMAjDwpiKs3i77s9vtSEpKgtls/l9MoR0AYDIaYbVaUVNTA7/fD7PZjNTU1LC24PNCJO9Jm4j0RyAT4RPp+c0cV8nJycjLywPQdZ1ionnfvn3YunUrNBpNwPwI1Q6Zt9+eSqfDtPsewE+3LcDaPz+Joa+8wbVAS4R2z36/P+TNtEwmE2OWCwoKAHQ5TdkaVFdXF5AQyIRzJEN9eKVbBp4gCLBYLNi4cSNaWlqQlZWFgoICFBYWQqlUwufzQSaTcRF7Ewl66rjHWvIyEdPW1oaOjg4kJyfDZDIhJycHFRUVA+qoxLv4ZPBuZyzsO9TWgJ9ru+rG9jfUAuiaRx6PJ0AQt7W1QaVSwWw2iyE4kaxx3Re8LuS82tXfOVaaWoTUpBS0dlqwtWEnJuaN7fX1LFmLeXEcDofYua2goCCg3XG9frv4vqzsbJROyBK9QBaLBa2trdi3bx+8Xi9MJpO4VR9cjzdjuAlKjRxelx+HNnYl7zWs/V995AQu/ZYoRHOuq9VqZGVlibu9bCfCYrGgsbERVVVVkMlkotBhOxHRtmsgVFx+NTa9/CJad25HwwfvYcSEifE2qUcSyZMcDhqNJmAesYRA1iGwtrY2oIISm0+hqiYlfAk44MjgLV++HLfccgt27twpejsnTJiAe++9FxdeeOFRd9fAYpLb2tqwYsUKZGZmQq1Ww2azwe/3ix3sysrKxBJag4V38clIBDujbd8n27+GAAHTCyah0JwX1ntYfWIA2LBhAzo7O8WbK16ql/B6Xnm1qz/IZDJMzh+L73YvxZq6jd1EMos3Z38dHR3Q6/Uwm80oKSnpd0yp1AtUWFgo3uC3trbCYrGI9XhZ3CrzJmaPNaNuTSta9rSj0+oeUBMRXuE93CKWBG+tS9shM2+zx+NBUlIS/H4/mpqakJKSwkUyuVyhwHGPPIkvLzobLd99Bc8DDwMZfO5yJIJIHoy3O1RCYKjW7FqtVhTMKSkpCR+iIYpkmUyGqqoq3HfffRg2bBiWLVuG3//+90hOTsbMmTPx8MMPQ6/X4/TTT+/RZZ9I7N+/H7/++is+/fRTrFmzBoWFhUhJScGDDz6I2bNno6SkBHq9PirfM7hOMq/wLpJjEbbi9Lpg1Ohx4agzQz4vLe7OvMWs3A4AFBYWIiMjg6sEiEResBKFyXnjRZF8zZhLxAuJ1WqFy+USRXEkb74ZrB6vTqcTt047OjpETzOLN5Tn+MT37F/TdKSJyKQp/Toez2sEr8TzNygNESwuLhZvqqqrq9HS0oLKykrxxi01NVUUO0lJSXGxt3D2qZj2x4dgKSiGxmjq+w1xgpfqFr0RSRuloT6shKHX6xVv/puamsRqLKWlpaioCC+fhzcCOu4tWbIESqUSL774IlJTUyGXy9HR0YHzzz8fX375JT7//HOcfvrpCbsofvnll3j33Xfx66+/or6+HuPGjRO9e4sXL0ZpaWlMFi+KSY4MsbDv7hNuwi3TroOAruNIa1BKS/qxLaecnBwxTmvJkiVITU3lSiAzeDyvR4N4Z4KjVNslTldUr8aqVavE+TFs2LC4tCIOjlt1Op1YuXsn9n/edRFb+vpP8FgtkKs18KVnwuVy9aujJ2/njsf5DfDpbWQ3VWazGW63G5MmTYLL5RI9zbW1tdiyZYvoIWR/oeKao2XfpLvuxbJly7gbOyk8nttgom2jUqlEeno60tPTxePZ7faoHS8WBKzUNpsNCoVCrG6h1WrFbWOtVis23RjoAvTyyy/j5ZdfRm1tLQBg5MiReOCBBzB3blefdqfTiTvvvBMffPABXC4X5syZg3/84x8BlTT279+PBQsWYMmSJdDr9Zg/fz6efPLJsC46nZ2dGDNmDG688UZMnjwZer0e77zzDl588cWYlmNLlA5CvHu8YyGSPR4PHLYjlSfsdruYvJCamtrnjgOP48fzzQ9vdoVTEUDaJtZqtcLn8yErORVymRzNrhaUjx+GfHNujCwOD61WixGzSrAEXSJZdqArjM4wfARqDhzAlh07xMx2Fp4RL0/iYOB5feURNl4ajQbZ2dmiFmAeQovFgoaGBlRVVYnb78zbbDKZoupJZdfL1sqdSBlWwd255f16DvScuBctWCgYb+t6fwhQlqmpqfD7/WKCmlqtRmdnJw4ePIjq6mrMmTMHwMBbGubn5+Opp55CeXk5BEHAW2+9hXPOOQcbN27EyJEjsXDhQnz99ddYvHgxTCYTbrnlFpx//vn45ZdfAHRVBZg3bx6ys7NFb/DVV18NlUqFJ554os/jX3zxxd0eG0wJuIHCxo/3HxXPYgqIjn2szrXFYsGGui3IkqUhOTlZ9BL3J56Y1/Hjec7xDmv/LY0pltYXLSgoEMuxPeD5HYrMBTAn87lFnD7MCFWSAp5OH+xNOsx57kVozSkoO+44eDyegETArVu3ip5ElgwY77j6RITnNb8324I9hNIkLovFgr1798Ln8wXUa05JSYnojokgCFj9x99jz/vv4Ix3P0LpPL76NCRCdQue5x+vBJSAGzJkCPR6PdavX48TTjgBJpMJS5YswSWXXIKUlBRcf/31AAYuks86K7A6wOOPP46XX34Zq1atQn5+Pl577TUsWrQIs2bNAgC88cYbGD58OFatWoVp06bh+++/x44dO/Djjz8iKysL48aNw6OPPop77rkHDz300IC2tVUqVcxFsrRRB88xTLyKPMZgf+zSCiYsfMLpdMJgMOCAtx4LVv4RY7NGYNlv/j2gY/G8GPF4XnkcL7/fD0EQUFtbK84RmUwmJrAUFxf3uJOw8Lgb4mBx+CiUcmSPNePAqhbYDrhQevZVSE7tCrFQqVQBnd+8Xq8oiOrq6rB9+3ao1WoxnIiNEy/nkOfEPd5sYvTHNmkSV0lJibijwubIjh070NnZCYPB0K1e82Ds0/4v+XDlI39C8ZwzII9x2FJv8HxuGYkg5HkjYIZNnjwZN954o7jgjx07FlOnTsV5552HK6+8clATPBifz4fFixfD4XBg+vTpWL9+PTweD0455RTxNRUVFSgsLMTKlSsxbdo0rFy5EqNHjw4Iv5gzZw4WLFiA7du3Y/z48f22Q6VSRazjXrgkQstnIDFEcn/sY1nd0nhin88XEE9sNBqhVCqx+D+PAACGZZQNalHhcfx4XiTjPV6shrX0xgkA7Ha7WK4vVrGYsSBvYioOrGoBABzaYEHZKdkhX6dUKpGRkYGM/1UW8Pl84vZ7Y2MjnE4nlixZEuBpPprG6VhgML89mUwGvV4PvV4vJouyVsjM08zqfUtFc38qHwiCgFE33II9i96BZVcVKt9/ByOuunbANkeaYy1xr78k6loQIJINBgPOPPNIFv/ZZ58d8dbTW7duxfTp0+F0OqHX6/HZZ59hxIgR2LRpE9RqtVhehJGVlYWGhgYAQENDQ7dOf+zf7DX9RaPRwOv1xvQuMJFEMs8Jhn2JZFYflMUTt7W1QaFQiFvjRUVFIfvVe/1efLrjGwDAxaMHPv95vsng1a5Y4/V6A2p/SmtYZ2ZmorCwEJs3b8bo0aP7/dk+vw8/71uDjfVbcfPUa6FSxL+kVjBdnfe62P3tzh5FcjAKhUIsK2Y2m7F9+3aMGTMGra2taG5uxq5duyCXy0UxlJqaGvK3Fi14nd+8exsjaZtWq0VOTg5ycnIAHGmSY7FYcOjQIezcuRMKhSJANPfWOVIQBGhMJky66178fN/dWP3UYyi/4BKokpMjZvNgSBSRzPP845E+9yqYez5SAzts2DBs2rQJNpsNH3/8MebPn49ly5ZF5LMHQjw8ydKYZJ7hWeQB3e1zuVwBrZ3b29uh1WphNpuRlZWFYcOGhdX8ZWnNSjQ7WpCWnIKZJTMGZR+PHMt2SRu7sERM1o0sVMx5Z2fngI8lk8lw1eKbYXPZMav0eIzJHhGprxExcicc6bxX9fkmzP3LyQP6HKkgBo7s2rS2tqK1tRXV1dUQBCFANEc70Qvgd67zSLQFlEqlCtiN8Pv9Yv5Ha2sr9u7dC7/fHxDXbDabxbhmZt/o636LzS//HfYD+7Hln//AxDvuiprN/SERBCjvIZ480qdIjvSAqtVqlJWVAQAmTpyItWvX4oUXXsAll1widp6SepMbGxvFDNvs7GysWbMm4PMaGxvF5wZqTzxjknmGZ5EsCALcbjc6OzuxY8cO2Gw2dHZ2ivVni4qKYDab+1XGirF4a1cb6vNHzBu094/n8eORSNvFWskzT3F7e7vY2CU/P7/HDlGMwVz05DI5xuaMwvLaldhYv41LkZw+1AC50gu/V4nO9syIfa60Fi+LWWUNLKRdAaWtks1m81HXrCoYnoVUrG0LvrGSdo60WCw4ePAgXC6XGNfs9/vhdruh1+sx9b4H8eOC67Hh+Wcxcv510Kak9nG06MPzuWUkgo28Efeod7/fD5fLhYkTJ0KlUuG///0vLrjgAgBAVVUV9u/fj+nTpwMApk+fjscffxxNTU1iQskPP/wAo9GIESMGdgGKR+IewLcAZfBko7SqAPMEer1ecdt36NChEak/6/S68HXVDwDQYwORcOFp/KQczYuky+UKqDzhcDjEGrCDuXEaKOOZSD60FfPHd6+uE2/kCjnUqjo4vcXotCrhaHZClxG53BOGTCaD0WiE0WhEUVGRmOjFugIeOHAAbrdbbFzByooN9PfMa+Iez8R7rQruHAl07eSwG1xBELBmzZquakMVI2EcWgF3y2G0Vu5E7vTj4mo7kBhJcfGwMd7zarAErEAs21+n00XlYH/4wx8wd+5cFBYWwm63Y9GiRVi6dCm+++47mEwmXH/99fjd734n9pK/9dZbMX36dEyb1tUm9bTTTsOIESNw1VVX4ZlnnkFDQwPuv/9+3HzzzQO+8MXDkwzwX4MYiK/IY7Gi0iQ75p0ym80oLCxEW1sbWlpaIlrj+sc9y2F3O5BvzMGU/P4ngkrhecHkce4NZLxYW1T2xzLqzWYzSktLYTKZItLMZaAemPG5XbHMG+u3DdqGaNDZ2gKZuxJAMQDg0EYLyk/L6ddnDGQuSRO9WCvtzs5OMTxj+/btcDqdMBqNAbWaeWiVPBh49uTxaFtSUhKSkpKQm5srOszcbjdaW1tRePcf0alUorLThcaNG0WvdCxj36UkSkwy7zbyRoBI3rFjB84880z8f/a+Ozyu4uz+3O29q3erS+7GMabZ9F4NCQkBAwkQYkgIIZBCgBBKKAktlF8SAuELJN9HCxgIHWMDphkXdVnN6mWLpJW2l98fYsZ3pVXZ1d3dkfB5Hj1gabX7au7cuWfeed9zfvWrX+Gkk05CWlqaoIR5cHAQl1xyCfr6+qDX67F8+XK89dZbOPHEEwEADzzwAEQiETZt2hRhJkIgFovx2muv4eqrr8b69euhVquxefNm3H777XHHlMpM8qFyi4MgpTYkSzw2NkYbOdPT01FaWjqlE3p8fFzw+E4pOxYvX/QUht2jEHHzW0wOZZJjx0zjRYgUnxST41iDwYDS0tJ5ZR8TgVVZSwEAdQNN8Aa8kEuSl8WeC4b2fAWpqB3urx2qe7+KnSQLAb7FbW5uLoCDWUS73U6tkrVaLSXMM7lZsnjfEbB8/7EaG7mecrkcer0eaWlpKC8vp2o0drsdNpsNLS0tCIfD9ETCaDQmzeGSxU3GZCyEGFlDxMzJzMzExo0b8bvf/Q433HADTjrpJFxwwQVYt24dzGYztFrtvD7sySefnPHnCoUCjz76KB599NFpX1NQUIA33nhjXnHwcajcYnokKtvNJzuEFLvdbnosnpeXN2utKJCYMZSIJDhuyVGCvR+r15jVuPjgu9mRL7/fT7OLFRUVVLIvUZjvA6XAkAuT0gi724HawSasyV4uUGTCYPCrXZCIOui/e7+yx/U+iXjw8rOIwEQpDSnPaGlpwdjYGDQaTUSmmb9msEgGWL7vWCZQ040bcT+1ffg+iiqqsHr1alrXbLfbaRkPWTPIlxCnS9FiZHX8CFLVuMf6uMyEiKeL2WzGU089BWDCQnrLli1oaGhAIBDAGWecgQ0bNqCqqgoFBQUL/tiLQCaTIRgMIhQKJbVpZCGQZKFiDIVCEWRnZGSEkh29Xo/S0lLo9fqY5xTrNx6r15jlcQuFQujq6qJzhbh4GQwG5OTkQKfTLajmLo7jsCp7Kd5r3YGvemvYI8l7voKYG4BEHkLAK0LPrvhIcjIgl8sjJMV8Ph8lQ+3t7di7dy9UKhVMJhPUajWT9x7LRIrl2AiiEbydv/stvnrofhSecjrO+NeLEXXN4XA4Qq95//79GBsbo5br5EsI98iFMH6pjJH1sZkO06ZgMjMzkZ2djbq6Orzzzjt44YUX8Jvf/Ab5+fk45phjcNNNNy2ISTEbyI7S5/NBqVQm7XMXc03yZEOG0dFRAIDBYIBer0deXh60Wu28yY7QJPTn/70NCokcV669GAWG3Hm/H8v3BgtzjzRjksYcQortdjutO09VfaGQ+M2Gn+LmjT9DdXpZqkOZguMf/QuWX7kb//2tB12fjWK0x42xAQ80GcI37wkNmUyGjIwMqpVPdHjtdjt6e3sBANu2bYsoz5iLBOQ3FSysCdNhptLEyosuwe4/P4CON19H786PI5r4OI6bciJBSvtIw2htbS1kMlkEadZqtTHPk4XAhxZCjKxhWpIskUjg8XgAACeeeCJOPPFENDQ04LrrrsOjjz56iCTPE4upJpnIbJEssdPphEwmo7Vj0eqJkxnfXDDiceJ/dj8Pb9CH7y4/V5D3PJRJjkQoFJriZkcsno1GIywWCzo6OrBixYqUxDcT5rPWrclh7+8hkOsNyD3mWOQfsQddn01sZnt321F2SnaKI4sdfB3e3NxcfPTRR1i6dGmEeYVUKo0oz0i2KyDLz0yWYyOItmE2lpah6vuXou4fT+KT236DTW9+MOPfIZPJIizXg8EglYkkRjgAIkizXq+fNamzEDSIF0KMrGFakqzRaOD3++F2u/H+++/j9ddfx86dO2E0GvHAAw8AEF5DORUgR/yBQCCpn8sqgeIjGpEnx1f8emKiiKLX65GTk0PriRO94Ao5hm80vQtv0IdySzGq08sFeU+A3exMMuIiDx/+iYJEIoHBYIDFYkFJSUnE5ml4eJj5h/RiRfaqgzqzPbscMZFkVuc4x3GwWCywWCwADs5Hu92OgYEBNDU1QSQSRWSa48kgLiaw+rfPllBae9Nv0PR/z6H/809x4O03UXjyqXN+b7FYTK3UAURoejscDnR2dsLn800xOZlc17wQNhmpipH1cZkJU0gykYEbGhqC0+nEGWecgZqaGpx//vl46qmnsHLlyhSEmTjwM8nJxEIptyDOWXyy4/f7qaJAcXGxYDJb8UCoMXyp/nUAEwYiQt3QrC4MiYqL2IDzSTFRKJmr4yHr90S8+L+aV/Bx5xf40drNqEwvTXU4AICm5/+NoX17UHzG2ches5R+P97mPZYQjQxMJkPkZIOvjAAczCASKVIhk0EsE6mFIA823dhpsrKx/Iof46uH/4hP77gVBSeeDC7OvyWapjdRWnE4HGhqasL4+DhtGiVfC0UnmfVrzBoiSHIwGMTjjz+OV199FZ999hmOOeYYXHTRRbjsssvoxQ8Gg+A4btEMNCF3qXDdY5EQkHpicvzk8/nQ1dVF3bNYap4Sagzt7mG83/YxAOC86tPm/X4ErF5jQBgySmpA+TbgcrkcRqMR2dnZqKqqiulEgcUHjFAx/Wvff/B+20dYkVnNDElu3foftG39D9QZmVi55XAo9FJ4RvxxkWQWr91sEIlEMBgM1OE1HA5jdHQ0ohkwFApNcQWcz7OP1fUAYDs2kkmeaZ6t+un1qH3qr7DW7kPLf15E6XkXCPLZfHnCnJwcAAebRh0OBw4cOICamhoAQGdnJwKBQEpKeeaChbARYg0RJNnn8+HGG2/ED3/4Q/zpT3/C0qVLp/wCC+RISHAcB4lEkhKSzEJNst/vj6gnHh0dhVQqpc5kJpMJ5eXlTN5YQpHQrY1vIxAKYFlGBcoswhmTAGw+eMjCHWtWizS88EmxSqWKSbbvm4oVmdV4v+0j7O2vS3UoFEN7dwMA0lasBMdxyF5tQtsHA3D2eTDa64YuO3k9GiyA4ziaDCgsLKQ2yUR2jlhp6/V6mpGOx0qbNeJEwHKWm2Cm+JQmM1Zdex3aXt8K1dfNnInC5KbRQCCAnTt3QqFQ0FIejuMiMs0sJJcWwjVmDREkWalUwmazQalUIhwOR5QghEIh+sAn5C5RznzJRiq0klOVZZxcTzw+Pg6VSgW9Xo/s7GxUVlZSOZympiaIxWImCTIg3Bi+VDdRanFu1enzfi8+WF2M5hqX1+uNUJ5wuVzQaDQwGAwoLCyMWpc3X7C4qRACK7KqAQB7++pTHMkEPA47nJ0HAABpy1cCALJXG9H2wQCAieY9XXZOqsKbN4QgA3ybZHLs7nK5KGmuqamB1+ultaok2zyTbjfrJIXV2OaSSQaA1T+9AYfd8Kuk/x0SiQRisRjZ2dlIT0+nZYok29zR0UE3WORkwmAwJF1K95BOcuyYcjf/5S9/QSgUgtfrhc/nQyAQQCAQgEQiwfj4OHw+H3w+H0KhEP7617+mImZBwXEcpFJp0muSk0GS+WYMhBT7fD5KdGaz7WW5XAAQJr5wOIyq9DI0DO0XtNQCYH/8+A9sfkMmkUfyeDwRteeJXtRZXkjnex1XZFYBAOoGG+EP+iEVp1ZnfmjfHgCArrAIcr0BAJC9+mDzXu8uBypOX7gkORHgOA5qtRpqtRp5eXkRtap2ux0NDQ1wuVzQ6XSUMCfKuCIRWAwEXpzCsebXJItEoimnEi6Xi5JmMlc0Gg0lzCaTKeEncaxfYxYxhSTffffdGBwchFKppG5WbrcbdrsdlZWV0Ol0kMlkTFm/zhepyCSLRCLByy34ElsjIyMYGRlBKBSiu9esrKw5SdkQsE7yhIiP4zjcfdJvcOeJv5q3DXU0sDh+ZJF0uVwRjXbEmcpgMKC8vDxpdq7fBBQZ86GXazHidaJxqAXLMitTGs/Q3j0AgLQVq+j3clYb6f/3xFCX/E198EarVfV4PDTT3NzcTBu8SHkG6elhESxfx1ib4nxjY9j3xJ+hTEtD9eYfJDCyg5hp/PgbLGK7Tk7qSKZ53759UCgUESUaQtc1L4TmQtYw5Qn4t7/9DQ8//DD+/Oc/o6xsQvx+YGAA1157Lc455xx873vfS3qQiYZMJluQ5RZ+vz9Cd9bpdFKbTqPRiKKiImg0mriPV1ipm54OQt7siSDILG0y+KcKdvsEAfryyy8pKY51A5XIOBcjOI7D8swq7DjwGfb21zFAkr+uR/661AIADIVqKE0yuO0+9H5lZ5o0zYZUxa5QKJCdnR1hpU0yza2trXA6nRCJRKitraXEmZU6ftbvvViuZ8t/XsCnd94GpSUNpZu+A5lGk8DIJhDrnJPL5cjMzERmZiaAibpmcorX39+PxsZG+jwn2Wa9Xj/vxlFWyydZxRSS/OMf/xgvvvgiysrKEAwGEQ6HkZGRQRv5zjzzTGg0GgSDwUWTZZJIJAui3MLr9UYYMYyNjUGpVEKv1yMrKyuinjhVMSYT841vaNyGxqEWHJF/GMQi4clhKgkGcbPjN9qFw2Ho9XpotVpYrVYceeSRTNnLs0jIhIxpRVY1dhz4DB2OLsHeM16MdnUCiMwkk+a91nf7MT7oxWiPG/pcVapCXBSYTIR6enrQ0tICiURCVREUCkWEVrOQa3gsYHlTFGts5d+5CLseuA8jba3Y98SfcdgNv0xgdBOY7/hJJJIIXW9yMkyyzW1tbQgGgxF6zbPVwAsd4zcRU0Z3dHQUAwMTzRv8rFJLSwsCgQA4jqOKEIsBHMdBJpMl3UxkNp1kUsPEJ8WkRpTUOen1esjl8oTFuNhJ8vO1r+JXb9+F08tOwHPfeVzAyA4iWePHbxQhJRSkW5802pFTBb/fjwMHDhxaLJOM6464Ejcc9WMYlfpUh4Lz39qGsZ5uKM2WiO9nrzKi9d1+ABN6yQuVJLO6bonFYkilUlRUVACYyB4SEtTd3Y26ujrIZLII0pwIt9LpwOqaECu5E0ulWPerW/D2FZvx1SMPYOkPr4LCYJz9F+cBoQkoX6KwqKiIngaS+VJfXw+3201PAwlpnulkIhWNe6zei3PFFKZ77rnn4oYbbgAArFixAoFAAM3NzfjZz36Gc889l6nMk1BIVeMev5SBkBx+PXEwGKQ3QGZmZtJrRBc7SX7xa1WLDUXrhQopAokcP6Jnzd9E8Y/mlixZMm09G6sPQmDhL6gzIU1tTnUIFBzHQZubN+X7OWsinfcqz8pNZliCgtV5zo9LIpFQK21g4r4mJVHkyF0ikVDCbDKZEqa/y3KWMZ7YSs+7ALseuA+2+lrsfvhPWH/L7xMU3QQSTUA5joNGo4FGo0Fe3sS96/F4IjLNTqcTSqUyItPM32QdctyLHVMY16OPPoorrrgC559/PqRSKcRiMXw+H04++WQ88MADCc1cpgqpaNwju8K2tjbqTiYWi2nmr6CgAFqtNqX1QwvBFTDe+DocXfiyZy9EnAjnVM3dwjQWCLkwBAIBevRG5gvRs05LS0NZWdmsbnaTwdq1ZXkhZWasEhxGNq95b66mIsyMzQLAbGMlFothNpthNk9sqEKhELXSHhoaQnNzM0QiUYQroFDPCZavYzzkjhOJcPjNv8Pr39uEvf/vUSy/agvUGZkJijA1BFShUCArKwtZWVkADho8ORwO9Pb2oqGhAWKxmM6XZCcDFwOmkGSVSoVnn30WDz74IJqbmxEKhVBWVkZFsxcjkkGSvV5vhJLA2NgYrUGaq2VvsrGYM8kv178BADiy4FvI0KQJGRbFfOIjTRz8pky5XE6b7OZTf87SHPum4W9fPotXGt7CFYddhLMqT5719cTQgjz4urp66c/27t2LcXMWzTAqlXMz//j4ll9jpK0FK66+BjlHHhPxM32eCuo0OcaHvOjd7Zjzg5+1OcVyVjSWuPiEGIisUyXNgOFwOEKnOd7mLpbHLN7YCk85DRlr12Hgi8+w60/34ph7/pSA6CbAwvhJpdKIkwmyySLzZXx8HHV1dejp6aHzymAwLJry2UQg6siEw2HI5XKUlJRQXeTx8fFFYx4yGUKrW5B6Yr6TndvthkajgV6vR0FBAWw2G2QyGUpKSgT7XKGxmEnyS1+T5E3VwhqITMZc4/P5fHS+OBwO2pRpMBiQk5MDg8EwZxIkdGzJBIsxCYkmayu2d+zE8szKqCSZX3dINkhExtFoNCIjI4AuTJiAFBYWQiYLo7OzE7W1tVAqlZQwz6SacODdt2BvqEPlRZun/IzjOGStMqLl7X64rF6MdLpgKFic634qMF8iFa1O1el0Utm59vZ2BIPBKVbasch+soh4x43jOKz/7e9Q9/STWHbF1QmI7CBYIMmTMXmT9fHHHyMnJwcikQgOhwM9PT3wer3QarURJRqLsWIgXkQlya+//jruu+8+7Nu3D6FQCBaLBWeffTauv/56qvG3mDDfmmS+kgAhOsFgkBoxlJWVTaknHhkZYZ4QLASSHA9abO3Y118PMSfGWRUnCRzVQcw0fnylEuJ8qFaraakNsQVPVFwsgsW4hI6JmIrs7Zuwp55sMkDWDkKE8vPzI47TW+Vj9L30ej2WlB+0xXU4HLDZbFRzVaVSTSHNfpcLjqYGABN21NGQs9qElrcnmvd6vrIvSJLM8rolJDiOg06ng06no6YV4+PjsNvtsNvt6Orqgs/no41dREosWuaQRZJHMJ/Yco/eiNyjNwobUBSwPH4E4XAYarUaaWlpyM/PBwBqiONwONDS0oKxsTGoVKoI0jyfU24i9rBQMeVOefnll3H55ZfjzDPPxI033giNRoOmpibcdttt6Ovrw+OPPw6DwZCCUBOHWMstSH0ov8mOOOxEe7BFA+sEFFgYOsnhcDjmxenN/R8AADYuOQJmlWmWV8cPfkykwYKQYnKyYDQaZ3U+TBRYnH8sxiQkln9Nkvf01aKmpgYjIyPUrtZoNCIvLw86nS7m4/LJDWB+v58esRLSrFarIe7rQTgUgtKSBnVWdtT3yl4T6bxXfe7UBr+FABYfzIkmUvzmrvz8/IhNmN1uR11dHTwezxRXQKlUyjTJEzK2UDAIUQL04BeCUUe0cVQqlVAqlVTbm6wdfMUVqVQaQZpT3S+VTFCSTDozH3zwQVx99dW466676Is2bNiAo48+GieccALa2tqwevVqpm+oWDEbSfb5fBFZ4rGxMchkMhgMBqSnp6O0tDRmmR6RSJR02blYwTqRj3f+bVl3GQ7PWy1wNAdB7GrdbjdcLhe6u7vpkZbBYEBpaSn0en3KlGIWy327EMC3Lh4eHobdNgQJJ4HTN47hsBPLli6NixTPBqlUivT0dKSnpwOYePDZ7Xbs2/4+AIDLycPHH38ckWkmm7TsVQeb9/r2OgSN65uOZD83ozm98a20Gxsb4XK5oNVqaclXeno6c1baQoybs6sTn955G0I+P07++/8IFNkEyHOSdeI4FyI/ee0IBoO0rtlms6GlpQXhcDhCdm4xu7NO+asGBgao0x4fJSUldFe62MCvSSYPNX49scvlokfheXl5MBgM83ZJYj1LCywckhzrAspxHA7LWSlYHPxsDckU+/1+SCQSqNVqlJSUUIt3lsDatWWZvM91rMLhcIQsE7H7JqdMK5atwLLmCuzuq4VNMpK0UzmpVIqMjAyIByfKKMo2HoeSkhLY7XZ6xMq3T1aZZXDZfOjfNzzre7M2jwA2Y2IFkzOHZL42NjZicHAQXV1d9JSLZJtT7QooBEn2jo6i6f/+BYTDWPXT65HOM9KZL8h8Y3kNA+Jz3BOLxXRdIO8xNjZG6+BJSY9Op4vINrO20YoXU57aq1evxuuvv46jjz4aRUVF8Hg8EIlEeOyxx2CxWGgB+GJBIBDA2NgY3n77bbzzzjuoqanBI488QnWJS0pKEpL1Y52AAuzHyCfJc4UQiy1fcYB8ESck0min0+nQ1NREm6lYAssLOcvzbTq43W7acOlwOCIeGNHsvldkVWN3Xy329NUlTH5wOgzt3QMAyFy9JsIJzufz0TrWlpYWSHOCgA0YG/CgraYTeRVZM66BLM4pFmNi8QSWyIh1dnYiLy8PFouFZprb29uxd+9eWt/OdwVMJoQYN0v1UpSd/x00P/9vfHbHbTjz+VcEim5hkeT5xshxHLRaLbRaLQoKCmhikeh779+/H2NjY1Cr1ZQwk/rnhQhKksnu4je/+Q2+/e1v46yzzsKJJ54ItVqN5uZmvP3227jllltQXl4OgP3JMB1cLhc+++wzfPTRR9ixYwd27twJr9eLjIwMnHfeefjxj3+MDRs2JHznzDoBBdiPMVaSHA6HceJT30Zlehlu3njdnKXfSGMmyQySpkuDwQC9Xj9tDTrL9wjr15ZlTM4U87vDKysrp5DiyViWUQmT0pj0+REOhyFVqyFRKpG2bHnEz2QyWQRpHjlmFz7b1wIA2PtOE5p76mkdKyFLLBtLHZrbsYMQKJlMhoyMDCr7yq9RJUoqcrk8Yi4kWr5UqM3Ft375W7S8/AIOvPsWej/5CNlHHCVAdAuHJCeibprjOKhUKqhUKno6QUpUybxZFCSZoLq6Gtu2bcNjjz2Gd955B16vF7m5uXjppZdw/PHHpyJGQbF+/XrYbDYcffTROPvss3HffffhvvvuQ05ODm6++eakxbEQjDoWCpGaa4x7++vxRc8e1A404u6Tfj3t64gWKd/NjuM4WoNVVFRELZ6Fiu0Q2HzAkJgGBwepPi2/vry8vDzmerxLV38HP1jzvaT/vRzH4bzX30UoGAQ3y9zNXW3GZ5ggyeZgLr61sYhmmkkdq06no6YXLM5zFucTi5lkgumu4eQaVaLhTiTEiJU2vzxDaFdAocbNsKQYld+/FHVP/w07f38LznvjPUHel5ROsnptCeIpt4gHMpmMzplgMJjwz0skoq7saWlpuPXWW3HrrbdGfL+npwcGgyFuveS7774bL730EhobG6FUKnHEEUfgnnvuodlpANi4cSM+/PDDiN+76qqr8MQTT9B/d3Z24uqrr8YHH3wAjUaDzZs34+67757Tg2rbtm0wGAwRk1mhUCS9iW4h1CSzTuRjzSS/WPcaAOCk0o3QyA7OYdKYQEgxcT80GAywWCwoKSmJuTGTxMfq+LEaGwsxeb1emiV2OCYa13p6emAymVBWVjZv8X2JKLW16XPp7M9cYaD/P7BvGAqFAtnZ2RF1rIQ0Dw4OwufzYefOnRHZRdZq8A9hdsxljSMmWBaLBcDB9dNut2NgYACNjY20jpXvCjgfAink5mLtL36Fxn/9D/o+/QSd772DghPmLwO6UBr3UrFJY33jMBtmXcWcTiesVis+//xzPP7447jtttuwcePGuAb7ww8/xJYtW7B27VoEAgH8+te/xkknnYT6+voI4n3FFVfg9ttvp/9WqVT0/4PBIE4//XRkZmbik08+QV9fHy655BJIpdIIRY7pEK2mer46yfGAVZLCB+sxxkKSw+Ew/lP/XwDAORWnwmazRZBiolYipPvhQl8cvinw+XwRpJh0+xsMBhQXF6O2tharVq1KSHlBMh9asXyWpUwHiVyEgDeEvn1TFS74pLm3txcdHR3Iz8+H3W5HfX09PB4P9Hp9BGmeq6GFEGB13WI9kxxPbJMbu/gub1arFfv37wfHcRGZ5lgVXYQcN012DpZdcTX2/PlB7HnsIUFJMqvXloComCUbrI/LTIhKkoPBIFwuF/bs2YNXXnkFW7duxfDwMI466iiaSYjnj37zzTcj/v30008jPT0du3btwjHHHLRHValUtDZuMt5++23U19fj3XffRUZGBlauXInf//73uOmmm3DbbbfF1VGZCpLMepYWWDgkeTb4/X580PQROkd6oBQroOoXo2m0CQaDAdnZ2aiqqoJCoUhIrRar48dibMlaSPn1csTIhXTzFxcXw2AwUEJMjgqFHqsHP/kL/vbls7hy7cX4yfofCvre0+G1b58DZ3cXjrn3T7OaK4ilIqRV6dG32wFbsxO+8QBk6ulzKmKxGDk5OcjJyQEw0ftBMs21tbXwer3Q6/Uwm83U0CLRpJnFB/NiJMmTwXd5W7JkCUKhEJxOJ20GbGtrQygUmuIKOBN5E3rc1lx3A+Q6HVZcdY0g77cQSHI8ngKHEIUk9/X14eWXX8a//vUv7Nu3D8uWLcMNN9yAiy++WPBmtpGREQCY0v3/7LPP4p///CcyMzNx5pln4re//S3NJu/cuRPLli2jTQUAcPLJJ+Pqq69GXV0dVq2KXdZFJpNhbGxs9hcKiIVQbsEikeKD3OyTx5GQIPI1NjaGZ7teAgCcUHQ0Nh6V+MZMApbHj1UIvZCTxiNCjIm7IXmI80lxsuAPBtA10oua/oakfF44HMbgnq/gtg5BqtbM6XeylhvQt9uBcBgYqBtB3rfMc/480siTm5tLu98Jad63bx91gSMZSKFJ86H7LnYkasyI0ZZer6eugHwJsQMHDlBDnenmg9BrgtJswdpfTN+XEisWAvlMBZEnxHwhY4qZyK9+9Ss888wzuOKKK/Dkk09GaCYHAgGIxWLBCt2vu+46HHnkkVi6dCn9/ve+9z0UFBQgOzsb+/btw0033YSmpia89NIEyenv748gyADov/v7++OKRSqVpqQmmfXJs1CIvNfrjagpdrlc0Gg0MBgMKCwshE6vw48fvwUAcNGaTUkjyCwvmizOP6HGy+/3R2SKiRyRwWBAUVERDAZDyjU8l2VUAABqBxqT8nmugX64rUPgRCKYK6vn9Dv8uuT+vY6YSDIf/O53Qpr5mebu7m74/f4ppHm+x8Is3n+sk6lkxBZNQmx8fJxmmnt6eujJAynRCAQCCYstHA5jvL8PmmkcKOeCheK2B7BfN80apmSSly9fDqVSiY8++ggikQinnnoqli1bBovFAq1WK9gHb9myBbW1tfjoo48ivn/llVfS/1+2bBmysrJw/PHHo7W1FcXFxYJ9Ph98M5Fk4VC5RXwgZg2EEIfDYXz11VcRNaSTM4MuvxsXrTgP77buwHFLhJH8mQsWwiZjMYDfbe9wODA2NgaVSgWj0YiCgoJ5Cdsn6sG3LLMSANBkbYUn4IVCIk/I5xBYa/YBAAylZZDMUeM2c/nB/o25mIrMFXwXuLy8PEqSCGnu7OxEIBCgBMlkMkGv1x96uCcYqSLwfCttMh/IyYPD4UB9fT3cbjckEgkaGxvpJkqIje5Ieyve+uFmeB12fO+zvRDHeaLE+uYHWBglISxiik7y9ddfj6uuugqvvvoqnnnmGVx88cXIysrCcccdh40bN+K4446jXa3x4pprrsFrr72G7du3U6vM6bBu3ToAQEtLC4qLi5GZmYnPP/884jUDAwMAMG0d82yYzZY6EWCRgE4GCzGSrBO/fIKYNZBs06pVq6DX66d9D5VUid8eez1+e+z1SYx8Aqkev+nAwrWdDrM9cAgpJsTY6XRCpVLBYDCgoKAABoMBcnliSed8ka3NhFFpgMM9jMahFqzMmlt2N15YaydIsmXp8lleeRCZyw7eU/01w9O+br7ziE+S8vPzI0izzWZDR0dHRA3rXEjzQp3bqQQrsU0+eQCA/fv3Y2hoCMFgEE1NTRgfH6fa5KSuOZ57XpWeCWdXJ9xDg2j81/+g+pLL44o5WdJq8wFJ2LAeJ2uI2omhVqvx3e9+F9/97nfhcrnw/PPP43//939x4YUX4sEHH8RPfvITBIPBmGvIwuEwrr32Wrz88svYtm0bioqKZv2dPXv2AACysrIATOgc33nnnRgcHKS6je+88w50Oh2qqqpiiocgVeoWrGcZU0GkyAOST4oDgQAlxZMdzHp6epLaNR8LWHjgzATWiMR04xUIBGi3/PDwMJxOJxQKBbWJj/cBmUpwHIelGRXY0fEpagbqE0+Sa2InyQq9DMYiNRzt4xioGUEoGIJInPgHbDTSTGpY7XY7Jc38THM0tQQW7z/W7jk+WI5NIpFApVKhunriPiEyjXa7Ha2trXA6nbTPgMyJuZTVSdVqrLnuBnz0mxvx5X13o+I7F0Ecx1rCygZjJqQqk8z6uMyGWSXgVCoVNm/ejM2bN6OnpwcejwcA4iImW7ZswXPPPYdXXnkFWq2W1hDr9XoolUq0trbiueeew2mnnQaz2Yx9+/bhZz/7GY455hgsXz6xuJ900kmoqqrCxRdfjHvvvRf9/f24+eabsWXLlrgflDKZ7FBNchQkI8ZwOAyn0xlBisPhMLX1zc3NnVUuaKYYawca0Tncg+OLj4I8wUfak8HyNWZ54QoGgxHlE06nE3K5HEajETk5OTAajUmrKydIxHVcnlGJHR2fJqUu2Vr3NUletiKm38tcboCjfRy+8QDsbeOwlEYvuUvkfIpWw+p0OilpbmtrQzgcpuTIZDIxe98B7N57LBO9yddTLpdPsVUntsgdHR3Yt28flErlFCvtaH/f0suuwO4/PwhndxfqnnkKy6/4UVzxsTp2BKk0PGF9bGbCtCTZbrdj7969NGObk5MT0cQXDx5//HEAE4YhfDz11FO49NJLIZPJ8O677+LBBx/E+Pg48vLysGnTpggnPLFYjNdeew1XX3011q9fD7Vajc2bN0foKseKQzrJ0ZGIGIkcEJ8UcxwHvV5Pj8ujWTzHG+MTnz+D/9nzPK5cezHuO+UWof6MOYPla8xKbMSMwGazAQA++ugj6uCVk5MDg8EA5RzraBcS1uSswGE5K5Cnz0no54TDYaSvWgNOJIZl6bKYfjdzuRENr/QAmGjem44kJxMcx0Gn00Gn01G1BKfTCZvNRjOLhLS0t7fDbDbP28xCKLByz00HFsYoGmYrZ+A7vAETp09kk93d3Y26ujq60SbEmRhESZRKHHb9TfjwFz/Fl3+6B1Xf3zznun1+fKyOHQGJkfU4WUMESSaD+NFHH2HLli2oq6ujEh4rV67EDTfcgO9973txf9hsC0ReXt4Ut71oKCgowBtvvBF3HJORqsa9b0K5RTAYnGLxTNzsTCYTlixZMi8L05li9AV92Nr4NgDgzIr5C8bHCpY3QqlcKMmcIOUTIyMjkMlktK587dq1cTkcLjRsqj4dm6pPT/jncByHE5/4e1y/m8VTuOjbO4yl5+cLFJVw4JPmoqIihMNhdHR0oKOjA3a7HS0tLVS7l2SaU0maWZ3XLBO9WNdRiUSCtLQ0pKWlATh4OmW329HX14eGhgZIJBI6J/LO2QTNQ/djrLsLNX//C1Zt+WlMn7cQ1C0WQowsIoIkcxyHlpYW/OY3v0FRURE++OAD3HrrrfB4PDj33HNx0003QaPR4KyzzkqZc0sicKhxLzriiZFv8exwODA6OgqpVAqDwYC0tDSUlpYKSoBmivGDto8x7BlBhiYNR+avFeTzYgHrC1Ky5h9x4OLPCfKAysjIQEVFBZRKJQKBAAYHB6c9Fk0FWIkjVchcbqD/P53CBWvrGGn8ksvlWLNmDUKhEEZHR2G326kDnEgkiijPmM9GPRawTkRZjm0+fEMsFsNsNsNsnpAxJGsSsVVvHh6G9sxzMfb4w2h89WUs+f6lMZ1osjx2BAuhuZBFUJJMLvKOHTsQCATw2GOPwWQygeM4uFwunHbaaXj11Vfx8ssv46yzzmJuYZwPUpFJXggkmdxQMy0AfKUB0lRFjsqzsrJQWVmZUNIz0zi+VDdx2nBO5SkQi1LT3MfqNU7kgk5ICT9TLJFIqO03IcXTxcDqmCUKbr8HvqAfekViShnc1iHIjSaI4ugj0eepoDTK4Hb4ZlS4YI0g8NcskUgEg8EAg8FAHeBGR0dhs9kmCFJzMyXNxBHwm3CSMRks33dCx8Z3BSwuLkYoFMLwypVoKi6BdPkqfPHFFwiHwxHlGTMpqiwEAroQiDyLmFKTPDY2hnA4TO2nlUolrddVqVQYHBwEwPYNFSsO6SRHB7mh+DcXMWrgk2KlUgmDwZCS+tHpSLIn4MXrTe8AADZVn5G0ePhgfSMkVGx821mHw0FLaoxGI9LS0lBWVgaVSjXrAv1NXMBvfe8+PLzzb/jlMdfgpmOuTchnvH7RBbDW7sOpT/8LBSeeHNPvchyHjGUGdGwfhLPXjbFBDzTpyW2aFBp80kwIEskqDgwMoLGxERKJJCLTLBRpZp2osBpbokmoSCSCKS0N639wJf080hzqcDjQ3t6OYDBIiTWRISQCBqxfVwCL6vQ/mZhCkg0GA4AJsqzRaCCVSuHxeNDb24u6ujoce+yxABaX1p5EIklJJnkh1CQDEzrUpK6YWPoaDAbk5+enXJN2uoXpnZYP4fSNI1eXhbW5K5Mb1NdgedGcT2z85ktCignxSERJDQtI1GYnXW1BKBzCvgTZU4dDIdjqaxFwuaDJzYvrPbJWTJBkYKLkouSE+PToWUXUrOLX9av9/f1obGyEVCqNIM1z2fRFA+ubZlbv2WSPW8Dtxnh9LQoPP4I2h/INb7q6uqi1utFoZHbc+GD5+rIMSpLJ4C1ZsgQmkwmff/45jjvuOOj1euzYsQPf/e53oVKpcNVVVwFYXCRZJpMdUrf4GsTNjhyVA0BnZyeMRiMzlr58TDeOn3Z9BQA4p+o0iLjUzFVWrzHBXGMjWRUyJ4giicFggNlsRklJiaCkmOUxExpLiT31YGJk4EY62uEfG4NYLoexND51osl1yQuBJM+HEPDrlYHIpq/e3l7U19dDJpNFlGfEUlLGKlFhmUQlM7aR9la8eMpx8LtduGRPI5Qmc1TtbpfLRbWah4aG4Pf7sXPnTlqeYTQaI5xfU41UNu6xOq/mgimZ5JUrV2LLli304i5duhRHH300zjzzTFx88cWLUoqJ6CQn80YkBCqVCxOx/+SXT3i93giL59raWqxevZqpm52P6YjonSf+Ehev3AS1TJ2CqA6CVcI305wj5g2kfIJPio1G47wVSeKJKVVIdEzLvibJHY4ujHicgtclE6c9U2U1RJJZZfGjgq9w0b/XIURYCwqTm774pLmnp4fKi03ONEcDq+sBwH5syUrM6QqKoExLh6uuBrsfeQBH3HrHlNdw3EFr9dzcXPT29qKjowP5+flwOBxobGyEy+Wiev+EOKcywbQQ6qZZxJRVU61W49RTT6X/PvXUUyP+vRiRikxyKiYr3+KZkB+/30/d7MrLy6HX6yH5+mFKykFYXjxnytZWpJUmOZpILJRMMiHF/HkRDocpKS4qKmJGZ3axwaQyIlubgV7nABqGmnF43hpB399WVwMAsFQvjfs9LBU6iKUiBP0h9EVRuGBxjicypsmkmTQv2+12qsmrUCgiSDM/ucTqfcRyJhlI3rhxIhEO//WteP2i87HvL49h5Y9/AlVa+oy/Ew6HIZFIkJOTg5ycCd1zj8dDM8379++nJax80pxMUyTWry+rmFNqgaTpF+sAS6XSlDjuARNjmyhbZT75IV/BYJAad+Tk5ECn0037+fzGPZYxOT5/0A+pOPWZb1bvF3KCMTQ0hN7eXjgcDoTDYej1ehiNRhQWFkKj0aQs68DifEtkTFXp5eh1DqBusEl4klxfBwAwV8VPkiUyMdKqdOjfOwxbsxN+dwBSZeSjg8W5nqyYJBIJLBYLLBYLgINGFna7HZ2dnaitrYVCoYDZbIbb7U66W2QsYPE6AhPPSUmcJyHxoPDU05G++jAMfvUldj14P46+894ZXx+NgCoUCmRlZSErKwvAhCsgmRft7e3Yu3cvVCrVFFfAROEQSY4Pc5p1iz1FnyrHPUDYh28oFIrICI6MjFDyQxrtYnWzI+/LKiZna0c8Tix/5Fgcu+RIPHbWH6CSprY8iAXCx6+f458giMVipKenxzwvEoVv6gJelV6Gd1u3o36wWfD3ttXXAgDMVdXzep/MZQb07x1GKBjGYP0octaYhAhvUWKykQWfNA8ODsJms8HhcERkmlkgzqyTqGTGxnEc1v36Vmw9/0zUfm0uosme3hlzLmMnk8mQkZGBjIwMABNKUWRNJpspftmO0WiMu0E0GlKhbsHC82++iHlrxvqNFA9ITXIywdcgjhdE75PvZsevHS0qKpp3RpD1koHJ8b3e9A6GPSNoGGyGUpLaB0+qxm5yWY3D4aAnCEajEfn5+WhsbMSSJUto9usQUoejC9ZhYGwI6/MOE/R9w+Ewyr/9XVhr9sFcHZsd9WRkrjAA/5z4//69DuZJMktrFp80B4NBcBwHs9kMu92Ojo4O7Nu3D2q1OoI0J1sxiIwXq8/2VDSd5R93ArIOPwJ9n36CXX+6Fxvuf2ja18bDi6RS6RQr7cm17sRzQAgpwsXI3ZKBOZHkQCAAjuMgFosX5SCnykwEiG0xn2znOzo6Si2eE6EyQOJk6YEzGZPje6l+wkDkvOrTUj5Xk/X5pAGTzAuHw4FAIECbRnJzc6HT6SI2SyxfV1bjShROKt2Ik0o3Cv6+HMfhWzfdLMh7ZS030v+fXJfM6vVK9f0/HUQiUQQ58vv9VFqsra0Ne/fuhUajiSDNiW74YvUa8pHs68lxHNb95lb858yT4R0dmZFkCkHiJ5ftEPdavn63WCyOKM+IpVfkkC11fJiRJB84cAA7duxAa2srxGIxysrKsG7dOhQUFCQrvqQgleUWM5UyBAIBaudLSLFMJqPOZeXl5YIex0wXJ8sLKD8+u8uBD9o+BgCcV3V6KsOiSMTY8VVJCDH2+Xy0rCY7O3vGWnOATQLBYkwAO3GFQiF4PB76b7fbnbTsUIQM3N7hhH/efMHqmhXtekml0ohjeFK7arPZ0NLSQhu+kkGaWZnrk5Eqgpd71AZc9EUNjCUzN4EnQjmCEGIiRUhMbxwOB7VX5zguohFwcjIk0THOBQu9ny0qSQ4EAvj73/+O6667DuFwGGr1hIyW0+lEdnY2HnnkEZxxRmpczBIBmUyGcDiMYDCYtOYAMnH4i7nf76c3wfDwMMbGxiCXy2EwGJCVlYWqqiooFIqk12ax+sABIhf1VxvfRiAUwLKMSpRalqQwqgkIOXaTM8U+n49mirOysiLcn+YKlq/rNw2BUACttg7oFTpkaicyjJNdv0ZGRmAdOkiS6+vrMSBvo3q9ZrM5Qq/X0dwEqVoNdXbOvNcMpVEGfZ4KI10uDNQOTyF7LD4EWYxpLvfc5NpVn89HM82ENGu12gjSPF+JTtbLLYDUxTYbQQaSU8rAN70h9ur89aGtrQ2hUAgGg4HOC76V9qFMcnyIygjfeust/OhHP8Jll12Ga665Bnl5eQiHw6ivr8e9996Liy++GB9//DGqqqqSHW9CQHblXq83qR20AGC1WmlWcGxsDCqVCgaDAXl5eTAYDClv6FgIJJnE92Ld6wCATdVsZJHnM3ZEPogQY6/XS6X6Kisr4yLFk2NjFSzOt0TH9KNXbsTztVvxm6N+iu+WnB1h5kOcDMvKyhDa1oFOTDT4rV69GqaVcthsNmpyIZfLKWH+9IafoHfHhzj+sb+i8rsXzzvGjKV6jHS54HUGMNLpgqEgtRrkCxWx3nsymQyZmZnIzJwwcfF6vZQ0Nzc3Y3x8HDqdLqLhK1bSzDpJZqGedrSzA13b3kf1JZdP+Vkq4hOJRNDr9dDr9SgqKqJqVmRuHDhwAIFAgPYo+f3+lI/hQsQURjg6OoqHHnoIF198MZ588smIn23YsAEbNmzAqaeeirvvvhv/8z//w8TknS8ISU50XbLX641wLQuHw+ju7obZbEZhYSFzbnbAxI3IImkhIER0YGwIHx34DABwbtVpKY5qArHcF2RukC9i6mI0GqfoVwsVG2vXdaGvI/GAnBAYQzoAwMfNn+FEw5EwmUwoLCycWnPI/9+vj1qNRiNKSkoiVBQ6OjowsHcPAGBEpsDAwMC8M44Z1QY0/7cPADBQN8I0SWZtbhMI8byUy+UR0mJkQ22z2SJMLMgJg9FonHXtOESSZ8ZYbw/+uXY5Qn4/sr61HqaKyoifpzo+YOLaabVaaLVaFBQUUCttvitgIBDAp59+GuEKmOzE4ELDlNHxer2ora3FPffcE/UXQqEQfvSjH+EnP/lJwoNLFsiDQ0iSHA6HqcUz+XK73RFudvX19Vi6dCm0WmFdtoQEi2SKDxKfVCzFLcdej/22NhQa81IdFsV0Y8ffMDkcDjo3EkWKY4kt1WA1LiFA6k3Jg4ucEFR+bXxjxTBWrVoV13vzVRRcgwP4anQE4Dioi5ZEZBxJptloNMZ0GpGxVE//f6B2GOWnZccVZ7KQatKSLEzW4/V4PDSb2NDQALfbPSXTPHltYf2eSzUJ1WTnoPCkU9H22iv4/J47cMpTz0b8PNXxRQPfSjsvLw+tra1wOBzIzMyEw+FAfX09PB5PROlOIqy0WRuXWDHlKSwSiWC325Gfn0+/NzY2hpqaGqxfvx4ikQjZ2dlwOp1JDTSRIHI78yHJkxUGSDMVIcVlZWVTiI9YLGZ+cWKdJAMTY29SGvCzI69KdSgR4I8dnxwNDw/D5XLRuVFaWgqDwZDUHT2rCxerccULIutESPH4+Dh13SorK6PX3exIBz4EmqytgpjhEH1kfdESLFs9YVBCyJPNZkNtbS28Xi9VxjGbzRH1i9EQSZJH6P+zuD6wGBOQHDKlUCiQnZ2N7OyJTYzb7aakmRAjslkymUwwGAz0d1m9/1ggod/65W/R9vqraPnPi7BefxMsy5bTn6VCgzgeyGQy5ObmIjc3F0DkhqqpqQnj4+M0WUNIc7LlCFnDlKeyTCaDRqPB2NgYtd1sa2vDkUceGWFTTJoKUj1xhQDJpsSicEGOMviZYiK7RRrtZqsbXQgElPUYWY3P5/NhZGQEXq8Xn376KVwuFyVHxcXFMBgMgu/YYwWL48YiYlnjiGwT2RA5nU5qUVxUVDRtSVW+IQcamRpjvnG02DpQmT4/S3XqtMfTR+aTJ6KlbbPZaP1iKBSiGSWz2Tyl1MNcpoVIwiEUCGOgbmTKZ7KGxfBsEgJKpTLCLtnlclFiRDZLOt1EuY/dbofJZEqYC2y8YIEkW6qXovSc87H/5efx2d234/TnXqA/YyG+2RCtcW/yhoqccNrtdrS2tsLpdFINb0KcU90nlWxMIclyuRwrVqzASy+9hO9///vwer3o7u6mN1EwGMTWrVtx+OGHJz3YRIHjuFkNRUhRPMkEjoyMRFg85+bmQqvVxrS4cBzHtJsdwC4JJeA4Du93fgz16B6cWnY8tHJNSuIg7kkkazg+Pg6FQoFwOMwMKeaD5QWd5fk2GaTDnJDikZERSCQSmEwm5OTkwGg0zumhIuJEqEwrxRc9e1A32CQASZ7ZaY/jOKjVaqjVauTn51MlDUKaW1paIBKJaLbRbDZDpVLBUq7DYN0IrE2jCPiCkMjE9P0OYXawQKZUKhVUKhVyc3PpCejAwABGRkZQW1sLn88XoZBgMBhSTppZGDcA+NYvb0bLKy+i/b+vYeCrL5GxesIAiJX4ZsJcJODkcnlEk6jP56MGJ8T4RqlUTrHSZv1vnw+iZpIvueQSbNmyBX/84x8RDocRDodpVhkA6urqcOONNyY10ERjslYyefjxM8XARKe5wWBAQUHBvK18WSegAPtEnuM4/LXmOdTZmnD/KbfiirXfT8rn+v3+CJ3isbExqNVqGAwGmjF0Op3Yv38/tadlDSzOPVYXWzJW/GYY8kUa6IgCRbza5VXp5fiiZ48g9tQ0k1y1dE6v5zgOOp0OOp0ORUVFVJPVZrOhr68PDQ0NkMvlkOeGgTogFAjD1uxExlLDvGNNBFic2wB7ZIrjOKhUKmRmZqKpqQkbNmyIKM/o7u6G3++fQppTYW/MwrgZy8pR9u3vounfz+Kzu36Hs17YCiB1GsSxIJ4xlMlkU1wBSaa5u7sbdXV1kMvlEeUZkw3NWLhu80HUIsjNmzdDKpVSlz2xWEzrUsRiMf72t79RgevFAI7jIJFI8OGHH+KZZ57B2NgYzj//fOpmZzKZsGTJEmg0GkEvOOvKEQD7RL5nvB91tiaIOBHOrjwlYZ/D17B2OBxUrs9oNE6rTMLy4sBybKwhHA5jcHCQkuNgMDjF+l2I8Tyz4kRkazNw7JIj5/1eq665DoO7v0LGqjVx/T5fk7WkpATBYHBCQaG8Hl1vjQIAPnzxMywV5SEYDDK5kT40x2OHSCSiJwxE+pVfltPZ2Ullxcgpw2y17EKAFZIMAN+68dfoePMNpK9ag1AwCNHXvUWsxDcdhHIFJM3BwERlAck09/b2oqGhgZ6kGY1GGAwG6PX6Wd6VbUzbKfS9731v2l9aDAR5fHwcn3zyCbZv344PP/wQIyMjuPPOO7F27Vocf/zxOOywwwS3eJ4M1rO0APsk+b3uCYe9YwoPR7rGItj7koYrki12Op1Uw7qgoAAGg2HWhgbWx47V2FId12Q5vnA4DKvVCrPZHNXiWyicWLIBJ5ZsEOS9Ss+7AKXnXSDIewETyRGLxYLqDcXY+/CEDJxsZKIEb2hoCD6fD5988gklTqmWlkr1HJoOrJKp6eKKVpYzPj4eocVLNo3RDCwSHV8qoC8qxmX1bZAolfR7LMU3HcLhsOBlM2KxmDb+AhNEnDwzBwcH0dzcjA0bNizo5r+oq9ju3bvh9Xrh8/ng9/vh8/kQDAYhEokwPDyMCy+8kPmjhelgs9lw+umnY9euXcjKysKGDRtw8cUXo6mpCU8//TSOOuqopMXCOokC2I/xna7tAIBN1fNzgCQW4PxMsUKhoMYu8Xb5sjp2rC7oqYiLHCGSL6JAYTKZUF5ejn379qGqqoo6j36TkVFtoP8/1u5HVVUVVCoVrFYrsrOzYbPZUFdXF7NyRiLA6hxnEXMleXxZMUKa+QYWHR0dCIVC9PjdZDIJsqlkjYTyCTKwMNQtQqFQwjeuIpGIXvfi4mIEAgGmenHiQdQR27hxI8bHx2nJBcdx8Hq9CIVCUKlU2LRpU9w7g7vvvhsvvfQSGhsboVQqccQRR+Cee+5BeXk5fY3H48HPf/5z/Pvf/4bX68XJJ5+Mxx57jCpqAEBnZyeuvvpqfPDBB9BoNNi8eTPuvvvuWSeByWTCtddeiyOPPBKFhYUAJm7AO++8E8FgMK6/KV6wTkABtmNsGmpBy0gHxJwYZ1ScGNPvkmMifqaY1Fbl5ubOueFqJrA8dgC7BD7RiKZAoVQqafnEZK3QZD78ekb7UNPfgKUZlcjVZ8X1HgO7voDf7ULashWQ6w2CxmcoUEGulcDrDGCQp3AhFosjlDPcbjdsNhtsNhs6OzsRDAZhNBopaZ5ikvINAWtkjyDetSCagcXY2Bgtz2hvb49QTSGkOdYxYHXcundsQ9trr0L33UuYjI+PVNRNs75xmAuiMsqamhpapysSieDz+dDc3Iy77rqL1ivHiw8//BBbtmzB2rVrEQgE8Otf/xonnXQS6uvraabmZz/7GV5//XU8//zz0Ov1uOaaa3Deeefh448njtaDwSBOP/10ZGZm4pNPPkFfXx8uueQSSKVS3HXXXTN+PsdxuOiii6Z8TyaTJdxxbzJEItGhcot54KX6NwAA67NWw6Q0zPhaPjEaHh7G6OgoZDIZjEYjcnJyYDAYoJyUHZgvWF40WY5N6PnGV6Cw2+0YHR2FVCql116IDZFQuPa13+C91h144LTbcfma78b1Hrse+iPatv4HR95xD1Zt+amg8XEch/RqPbo+tWG40wXP6NQ1kzSDqVQqWtdKiJPNZqPKGUQ1gyhnCDknWV2zWI0LEGZN4JPmwsJCqppC9LlbW1sBYEqmebbPZpEku21WbP32OQh6PKguLoP+xJNTHdKMSMUYsjzf54qoJJlvJEKQl5eH9PR0nHXWWTjjjDPirkt+8803I/799NNPIz09Hbt27cIxxxyDkZERPPnkk3juuedw3HHHAQCeeuopVFZW4tNPP8Xhhx+Ot99+G/X19Xj33XeRkZGBlStX4ve//z1uuukm3HbbbXFZO09Wt0gGWCagBCw3F3YOdwMATsw7ZsrPgsEgRkdHabaQT4qzsrJQVVUFhUKR8JpzVscOYHMBE+J68OsmyaaIKFCkp6ejoqIiZtmiZI1VVXoZ3mvdMS+Fi9nk3+aLjK9JMoCJbPIsCe/JxCkUCmF0dBQ2mw39/f1obGyETCaLIM1CbFpYI1UELMaVKALFV00hpHl0dJSWZ7S0tIDjuIhMc7RTBhZJstJswdLLr8Texx7Ggb//PxQyTpJTVRLC2nWLFTEVqJSVlUEkEsHr9QoWwMjIxJEdId27du2C3+/HCSecQF9TUVGB/Px87Ny5E4cffjh27tyJZcuWRZRfnHzyybj66qtRV1cXl62rVCqdUSc5EWCdRAFsx/j42ffiosJzoZGoqGQVKZ8YHR2FRCKhpLiysjIleo6sjt1CX7j44Ltdkq9QKEQVKBKhTJMoVKdNlJ3VDzbF9ft+lwsjbRPZurnKv8UKvuzbQO0w0rJiq3MUiURUSrO4uJiWPpHSjJqaGqhUKkqYTSZTXIkPFsHqepAsEspxHPR6PfR6PZUaJPrcVqsV+/fvj6hrNZlM0Gg0TJJkAFhz3Q2oe/pvGGtqwOCObSgqKkp1SNOC1TFkHdOubkTyp7e3F263G1qtFhqNBs8++2yEjeV8EAqFcN111+HII4/E0qUTC3p/fz9kMtmUz8jIyEB/fz99DZ8gk5+Tn8WDVGSSWc7SErBKkkk2ShmQYczpxPbt2yGRSGAwGJCRkRFXtlBosL4gsXhdgbnFNVmBwuv1Qq/X05ryRClQJBrVGRMkuW6wOa6Hmr2pAQiHobSkQZWeMfsvxIH0ap49dd0ILCfMT+1ococ8MeYhpRljY2PQ6XQ00zwX5QxW5zbA5rqQqvESiUSUNC9ZsoSu63a7naojiEQiBINBDA4OQi6XJ1x1Khao0tKx/Iof46uH7kfTYw/jW9/fDI7RdecQSY4P0640TzzxBO677z709vZSneSTTjoJ9957r2C1m1u2bEFtbS0++ugjQd5vPkhFTTKrBJQPVmKcXFfabeuFUaGHVCqFQqFAZWWl4HWN8wUrYxcNLI0TH9PFxTdvsdvtcLlc0Gq1MBqNKC8vZ8IVTAiUW4oh5sQY9oygzzmAbF1mTL9vq6sBMFFqkahrnLGUR5JrR1ANk6CfJZVKIwwMvF4vbQSrr6+Hx+OhkmNms3lacwsW5zjLRIWFuPinDIQ0j4yMYNeuXXA4HOjq6qI6vOQr1aR51U9+hj1/fQyjTQ1ofe0VlJx1bspimQlC6CR/ExFBkskN/Nhjj+G2227DtddeiwsuuAAqlQotLS24/vrrcdVVV+HZZ5+FxTI/TdprrrkGr732GrZv347c3Fz6/czMTGqFyM8mDwwMUKvEzMxMfP755xHvNzAwQH8WD1JVk7wQGvdSESOfFBMbcLKADnB2XPb5L3B6+Qm4bfXP4PF4mJXnYpUkA2zHRhotSV0x0ak2Go1Jt/lO5oNFLpGjxFyIJmsr6gebYyfJMTrtxQOVSQ5tthLOXjcG60YSPo/kcjlVzgAQYW7R1dVFlTMIadbpdAmNZzGCVfJOTG3EYjGqqqqg0+moeQWpZ5dKpRGkOdnJEqXJjMxzLkDvc//A53ffjiWnnwURgxv2VKhbEHW0hYyoJPnvf/87fvnLX+LnP/85/VlBQQHeeOMNHHbYYejp6YHFYonrxgqHw7j22mvx8ssvY9u2qTU8a9asgVQqxXvvvYdNmzYBAJqamtDZ2Yn169cDANavX48777wTg4ODNNvwzjvvQKfToaqqKvZRwARJPpRJnopkxRgKhTA2NkZJMWm2IlqrJSUlNGPw73deQyAUgEQkZrpkheXFgbW5RzZFwWAQDQ0NGB8fp42W89GpXoioSi9Hk7UVdYNNOKFkalPqTEh00x5BRrUezl433A4fXIN+IIniINMpZ9jtdrS1tVG1IolEQu3iWbkXWSWjrMZFQOLj1ysDBzfTNpsNvb29qK+vp02gZNOUjLK7jPMugHvfbqy55rqEfs58cCiTHB+ills4nU4YjcYp39fpdLRJJl5s2bIFzz33HF555RVotVpaQ6zX66FUKqHX6/GDH/wA119/PZWHufbaa7F+/XocfvjhAICTTjoJVVVVuPjii3Hvvfeiv78fN998M7Zs2RL3gzQVJJllgkeQKDJFHm6kppRPimeyAQ+FQ3j5a+m3TdVnMH3Ts0ZEWUK060+yHGazGUuXLk15TTkfybyOl62+EKeVHYfD8w6L+XfX33oHhvZ8hdxjNgofGA8ZS/VoeWdi7XY0u6BdnprrNJ1yxv79++F0OvHJJ59AKpXSBkBCmlIFVtcDVuMimI7Ei8XiKaSZb5NcX18PuVw+JdMsNMRqDY77v1eQlRWftnkykIpM8mJAVJJ89NFH49///jcOO+wwlJWVweVyQSQS4fe//z3y8vKob3c8D7DHH38cwIRhCR9PPfUULr30UgDAAw88AJFIhE2bNkWYiRCIxWK89tpruPrqq7F+/Xqo1Wps3rwZt99+e8zxEKSqJnkhlFsIsYASUkTqSoeHhxEOh2NWIPis6yv0jPZDJ9fghOKjMdA7wPQCz2psySbwc1Wg+Pjjj5GWlpaQB9lCwYai9XH/bsaqNchYtUbAaKIjvepgXbKj2Q3tcjauFynJMplMkMvlqK6upsoZXV1dqKurg1KpTKlyBisbPz4WSiZ5NkxuAg0EApQ0d3d3o66uDnK5nF57k8kkyKaJ9fEDFkaMLCKCJJNdxu9+9zucf/75OOmkk3DkkUdCp9OhoaEBzc3N+POf/4zi4uK4P3AuD2aFQoFHH30Ujz766LSvIeUfQuFQuUV0xBsj0aolhNjhcFBSbDAYUFhYCI1GE/POlhiInFF+IuQSOdNjyHJsyYDX66U1xQ6HAz6fjypQ5OXlQavVRr3+3+QxWyjgN+85ml3IBxskmYAQgmikiRhbEOUMrVZLXzMX5Yz5xsUqWCZQ8RI8iUQCi8VCe6iIBb3dbkdnZydqa2uhUCjoKYPJZIpLo5tkaYM+H+r/52k0v/BvnPPKmxAzJF2YCp1kluf7XBF1NcjJycGOHTvw7LPP4oMPPoDH48HGjRvxr3/9i2kdwPkgVY57rE+iuRI9Qor5meJgMEhJcX5+/rSkaK4IhAK01OK86tNjii8VYPmhk4hxI9Jd5IsoUJhMJlRWVkKv18+qQMHimKUipo8PfI49fXU4p+oU5OjmdoTb8/F2DLe2IPvwI2EsK09ofGkVOnAiDuFQGI79biavWzRIJJIpyhmENDc0NMDtdkOv11PCZDQaBScWLI4V61lGoeKTSCRIS0ujp+F80nzgwAHs27cPKpUqojxjLqSZ1PuGAgF8cd9dcA30o+HZf2DpZVfMO2ahwPo1ZhXTbpklEgk2b96MzZs3R3w/Va4ticYhdYvomI5MhcNhuFyuiExxMBikmUIhSPFkfHTgcwyN22BUGrCx6IiIWFgEWZAW6+JE6v8IKXY6nVCr1SlRoFhsuOW9e/Flz15kaTNwXvXcSHLjv59Fwz//gbW/+BXW/frWhMYnVUpgLtHA2uzEcKsboQBb9+Bc1wS5XI6srCxaS+p2u6l9dnd3N/x+P4xGI800z8VCeba4WFwLWI2LIFHxTSbNZKNvt9vR0dGBffv2Qa1WR5DmaH1PJD6pSoU1P/sFdvzy5/jy/j+g4rsXQ8KI5f2hxr34MC1JHhsbQ21tLZqbmzE+Pg6fz4dwOAyr1YrNmzejtLQ0mXEmHKly3FsIJDkUCk2pKR0eHkYgEIBer4fBYEiKgcPyjEr86bTfweP3QiqW0vhYJckELD6A4hk30hRFHiKjo6OQy+WCK1Cwfj2Tgar0cnzZsxd1g404r/q0Of1OMuTf+MhYqoe12YmQL4yxbh+Q+FLomBDPPadUKpGbm4vc3Fx6OkZIc1tbGwBE2GezpJwxH7B+zyUrvska3Xxjm7a2NuzduxdqtTqiplkmk0Ws8dWbf4DdD/8JY709qHvm71hx5Y+TEvtsOCQBFx+ikuTu7m788Ic/xNtvvw29fsKwQSQSQaVSoa+vD0cddRRKS0sXVVY5VZlkVhcnQorHxsbgdrvx8ccfw+/300xxTk4OdDpdUg0cTCojfrDmexHfY3kM+Zlk1jCXhYuvQGG326lWtdFoRGZmJqqqqqBQKARdBFldUJN9DZemE3vq5jm9PhwKwd5YDwAwVy9LWFx8pFcbUPdSNwBgtNWblM9MJjiOg0ajgUajQUFBAcLhMEZHR2Gz2TA4OIimpiaq0UtI82xNYCxumAlYjYvce6ngGpNJs8/no+shqWnXaDTUAVSr1UKmUOCwn/8S235+LXb96V5Uff9SSBloRGZ57rGMCJJMSO8f//hHDAwMYPv27TjqqKOm/eXFQpCBiZpkl8uV1M9krSaZZIrJEbrP54NMJoNUKkVFRUXSSfFcsBBIMquYPG5kY8RvtiPNlpO1qpMZ1zcRVenEnrppTq8f6WhHwOWCWKGAfkn8jdWxgN+8N9LCFklOxBziOG6KhTJ1AP1aOUGpVEaQ5mQrZ8QLlgkUS+uBTCZDRkYGMjImLN99Ph/sdjtqamrQ09ODlpYWaLVaGA5bB1VOLlw93aj9+1+wigH95MWU1EwmomaSu7q6cPLJJ1OCPHmSsnozzQepUrdIZbmFx+OJKJ/wer3Q6XQwGAy00aqrqwsulyuqbnYy8cDH/w8auQabqk6DSXUwFpZJMgGL8ZF7mD8HHA5HxGlBIurKD2FuqE4vAwAcGO6G0zsGrVwz4+uJiYipvDJpbl98ksxiJjnRzymRSETJcGlpKVXOIKYme/fupY2r5HieVTLKalxAajPJs0EmkyEzMxP19fVYuXIlFAoFLc8wnfcduB75Iz67/w+QHrUR6dnZMBqNKevTSPY1DofDTD77YkUESSYDeMQRR6C9vR1dXV3Iy8tj9uYREt8ECTiPxxPRaOX1eqHVamE0GlFeXg6DwTAlU8wCCfUEvPjTx09g1DuGpenlWJ9/0GSB5bnJYrkFX4HC6/Wiq6uLzoG5KlAkEixez1TEZFIZkalJR//YIBqH9mNt7qoZX58spz0+jEUaSFVi+F1BjLaxRZJTcc9NVs4gWUabzYbGxka43RMqIL29vRCLxVHX21SBpTVqMliOjYAQULlcjszMTGRmZqLylt/hPdsgss/eBEilaGxshMvlgk6ni2gETKTkIB+HGvfiQ1SSfNZZZ+HKK6/E5ZdfjksuuQRyuRw+n4/ulE844QQsX76c6d1nrCB/YzKRaAJK6qRIptjtdkeQYr1eP+sNygJJfrdlO0a9Y8jRZWJd3uqIn7EQ33Rg4d4IBAIYGRmhx8J8m16DwYCqqqqkLdJzBavXM9moTC9F/9gg6udAku0NE/XIpsrkkWSRiENahQ69Xzkw1u2H3x2AVMnOXEr1/UeyjJmZmQAmytk+/fRT+Hw+7Nu3jypnkExzohufZwLLz3KWM8kE0cZPJJHgxEf/GvE9j8dDTxvIxolPmhOp033IcS8+RK1JfvLJJ7Ft2zakp6djy5YtEIlEEIvFUCgU6O/vx2OPPYbly5cjFAoxsxOeLyQSSdLVLYSuSfZ6vRE6xUSn1mAwoLS0FAaDIeYbkAUS+lL96wCAc6tOg4iLvMlZiG82JDO+UChESbHD4YhQoMjPz6fd2Pv370c4HGaOILP6oE4Fbt54HW7eeB0q08pmfe0x9z6A6kt/AH3RkiREdhDpVXr0fuUAwsBQ4yiyV5mS+vkLCUqlEhKJBEVFRbBYLFQ5w263o729HQAoWTKbzXNyIBUSrN57rK/vwNw2GQG3GwqlEtnZ2cjOzgYA2gNit9tRX18Pj8cDnU5Hy3PieWbPJ8ZDmIqojnu33norfvnLX0IikVBlC7FYPGWAFwtBBiZ2/QtNJ9nn80WUT7hcLmg0GkF1alNNQsd9Lvy3+X0ABw1E+Eh1fDMhGeUW4XAYTqcz4sRAIpHAaDQiKysLVVVVUTvuWR43FpGKsTosZyX9bKIyMjgwSH/e1tYGRVkQJpMJqrR0qDYcl/QY+fbUg/XskGSW5zaRxZpOOcNqtWL//v0RboEmkymhVu0sE6iFmkkm8Ltc2Pm7m7H/pedx0ed7oTAevEeUSiVycnKQk5MD4CBpttlsqK2thdfrhV6vpxuneEt0SH3wIQm42BF1i6JQKCCVSunAhkIhBINBhMNhBAIByOXyRWcSIJPJUqKTHMtiTkgxIcbj4+PQaDQwGAwJM29IdXPhW/u3weV3o9CYh9VZ0aWtWH0gJmJx4Ju48BUoiOFBLAoUrI4bq3ElE6RUimSZAoEADAZDhPuXTCajLmEajQZmsxkWiyXh1sp8pFfp6P8PNowk5TPnChYfztORqWjKGcPDw7DZbOjp6UFdXR0UCgUlzGazWRBN8tniYgELYT2Yqd5XolCg5+MdcFuHsPuRB7D+lt9P+z580sxXGyIKGl6vFwaDgZ44zJU0kzFk9RqzjKgr6a5du7B161aoVCp4vV74/X54vV6IxWLY7XacdtppOOussxaVpAiLjXt+vz+ifILUkxqNRhQVFcFgMCRcYijVGccX614DAJxXdfq0DxdWF1GhMslEgYJIsxETF6PRiIKCAmg0mpjvQ1YXS1bjSjSIeyF5IJIN8Af2T9Ht6cdtJ94As9oE+yt1APoBALm5uViyPgMHPvwAza+8gKHKpRgsLoXH44HBYIDFYoHZbIZer0/YuEZkkuvYIcmsrglzhUgkokQIOGifbLPZqBMc2RiZzeZ5qyawPF6sE7zZMt2cSIR1v74Fb1x0Afb95TGsuPpaqNLSZ31fjuOgUqmgUqmouQ1xhCSyg0SNiF+eES0OkuhidQxZRgRJJrvJ3bt346677kJBQQGAiYsfCAQwNDSEsbExVFdX09cvFqTCTEQkEkVkaQkpJsR4bGwMKpUKRqMRhYWFSSHFk5FKEkrmo0QkwaYopRYA2ySZINb4yIkBIcUej4c2XFZXVwumV836uLGCRJ0IOJ1OSopHRkYgl8thMplQVFRESc8PHrkJncPduHDVOThS/a2o79W3Yxua/vYEqjf/AMde/kO4XC5YrVbYbDa0t7eD4ziafbRYLIIe2+vzVJCqRfCPhzBYPyrY+y5WxJuxnWyfHE05g9SyxnsszyqBWigkeab4ik49A+mr1mBw9y589dAfcdQd98T8OXzSnJeXR08VCWnu7OykJ07kftfr9RG9T4slqZlMRFW3+OEPf4gf/vCHU168detWvP/++zj11FMBLL6a5GSXW4RCIfj9fuzfvx/Dw8NwOp1QqVQwGAwoKCiAwWAQ9EgtHqSShHIch39e8Cjs7mEYFfppX8My2ZtLfIFAIKK2nLg4GY3GuBsu5xIXq2D5es4HpEyGbH4AwGg0IiMjAxUVFVHJa2VaCTqHu9EwtB9HFkQnyTaqbFEFAFCpVMjPz0d+fj7C4TBGRkZgs9nQ39+PhoYGemxvsVhoI2e84DgO+mIlrPvGMXxgHN4xP+QaNkrxWJzjQpU1TFbO8Hg81D6bKGcQE6C5KGewXG4BsHktCeZCkjmOw7pf3YKt3z4bNU/+P6zc8lNosrLn9bkcx0GtVkOtVtN7fXx8nG68CWk2Go3Q6/URsR7C3DGnJy8pqzjzzDPxySef4JZbbsFzzz2HQCDAXHd8vEhG4x5fjsvhcMDpdILjOASDQeTl5cFoNKacFE8GCyTUpDRM+zMW4psJ0RbOaAoUCoWClk8YjcaknBiwOG4sPwxjBdGkJg8tfhNOQUEBtFrtrH9vZVoZ3tq/DQ1D+6d9DbWj/pok80Gk/kjfAv/Yntjq6nQ6WpphNBpjzjYZShSw7hsHAAw1jCJ3rTmm308EWCd9QkOhUETUspIMIynPCIVCEU6Ak5UzWB4v1vV955rpzj/hJGSuPRz9X3yKXQ/chw33PiBoHPxmUEKax8bGYLfbMTQ0BADYtm0blR00mUwplR1cKJiR4fIfoqFQiErVLBZizIdUKhU8k0zqDEmW0Ol0UjmuvLw8AEBHRwcqKioE/VwhkSrr7FGvE8PuUeQbcmZ8HcuLJ3Cw8XF0dJQSppGRkTkpUCQ6rkOYO+ZyD5DNDyHFTqcTarUaJpNpWrOe2VD1tfxb4zQk2e9yYaS9DcDcNJInH9t7vV6qqEAykPzSjLnIkOmLDzYTDtaPMEGSATbneDLIaLQMo9PpnKKcwSfNrBNRlmOba70vx3FY95tb8Mo5p6H5+X/jiFvvgFStTlhcHMdBq9VCq9UiPT0dH374IdatW0fXp/b2doRCIdr0bTKZDjmsRkFUttvR0YGXX34ZSqUSHo8Hfr8ffr8fn376KRobG3H33XcDWFzlFkLUJAeDQZohHB4ephq1BoMBOTk5MBgMEWTI4XCkVDliLkhVpvaF2tfwszduweZV38HDZ9wx7etYzCSTTI7dbkcwGMSuXbtoRs9isaCsrAwqlSrlCz9r40bAalyTMfl4k8jvmUwmwU6GKtJKAAD1g/ujjotjfxMQDkNhtsypGWgy5HI51W0lfw+pZ25paYmQIbNYLBHqGgSGkoNr2mDDobpk1sBxHHQ6HXQ6HYqKiuhmzmazobe3F/X19RCLxZBIJOjt7RVcOWO+YDnLDcQmUZd7zLE4+g9/RMk5mxJKkCeDjCGZB4WFhVP6IlpbWwFgSqaZ5bFPBqI27tXU1ODnP/85zGYzwuEwxGIxVCoVysvLce+99+Kcc84BwPbuLlbEU5McDAZphpAcm8tksjlnCFkkeJORqhiJqkWxqWDG17Eyhm63O0KWjShQiEQilJeXIyMjg6n7hZVxmwyWxigavF4vfag4HA4Eg0Fa+1laWir45qfMUgwRJ4Ld7cDQuG3Kz+0NdQCil1rECv5xbWFhYYQMWVdXF+rq6qBSqWhpBrHUNZTwMsmMKFywOLcBNgifSCSC0WiE0WhESUkJAoEAGhsb4XA4IpQzSKbZZDKlVPKVhTGbCbE0FnIchxVXbUl0SFMQTYksGmkeHR2l61tLSwtt+iVfcykRmwyWr91cELVx78wzz5wxw7mYpN8ISE3yTDckv5aUZIr5x+aVlZVQKpVznhSpKmWIBakgU90jffj4wBcAgE3VZ8z42lSRPZ/PF0GKiVOS0WhEdnY2Jcg7duyYs27xIbCHQCCAUCiErq4uqiKg1WphMpmQk5OT8Jo+pVSBImM+Wu0daLK2AtBE/NzR3AQAMFXMnyRPBl+GrLS0FH6/f4qigsFgQFgchlQrgt8ZwmA9GyQZYPPhzOJ6L5FIoFKpEAwGsWLFCqqcYbfb0dzcjPHx8QhDC6PRmNRT5MVEkidjuK0VhiXFQoc0BXMZQ75WNzlxIJlmUqZDNlipcoVMBaYtLiap+P7+fgwODoLjOKSlpSE/Pz/qkdtCh0wmm6KTzK8lJZliiUQCg8FAO9JjIcWTwWo2j49UxPhS/esII4wj89ciV5816+uTEd98FChYvMYsz71UxsV/MNjtdoyOjtKYEmXYMxue+/ZjSFdbYFIZ8T7qIn52+G9vR/WlP0zKg0oqlSIjIwMZGRkAJk5PrFYrOjo6oMwTwV8fwmiPG801rchZkpnSkiJW5zbALnkncU2nnGG326kLHJ8okYRAMmJjEfHEF/B48Mb3L0DXB+/he5/ugbF0duv5+SCemnORSDSFNJNMM5808zPNi5E0T0uSW1pacNNNN+Gtt96iA5yVlYUrr7wSP/3pTxcdUSY1ye+99x7ef/995ObmoqqqCmKxGEajEenp6SgvLxd04U+1m91ckIoYn6/dCgA4f+mZs742UWSPlNKQY3Wn00kVKGLRrGZ1wTgU1wQmu1o5HA6aLSElU7t376Y1xqlARVrptD/jOA66/JlLkhIFpVKJvLw8uN1uWCrcGK2fkLVr/6IXHX2tkMlktJbZbDanROOdNbBO+KJhOuUMu92OAwcOUOUMQprjOZKfCayPWTwEVKJQQCSRIhwK4fN77sDJf3smQdFNQAhLapFIRJVyiCskaVQeHBxEU1MT7ckwmUwwGo0JtVJPFqKS5O7ublx++eVwu93YunUrSkpK4PP58NJLL+Ghhx6C2+3GbbfdtuDLLgKBAHbt2oUPPvgAr7zyCmw2Gy699FKsXr0aK1aswNq1axOaDWE5m0eQ7Bibra3Y118PiUiCcypPmfX1QsUXCoWoXI7D4YhQoMjJyYHRaIxrY8jyNWY1rkSDlMoQYkxcq4iRx2LMhiQafIULczgbq44vpFJzbW1t2Lt3b4TZRbKP7A9hZsyViM6knEHqWEUiUYR99nyfoayT5HgJ6Lpf34KOt97A/peex2HX3wRz1ezqNPEiEWPIr20vLi6OaAjt7+9HY2MjqqqqsGTJEkE/N9mYliQ3NjZi7969yM4+KHh94403QqlU4pFHHsFtt92GYDC4IEnyF198gVtvvRU7duyATCbDhg0bsGHDBuzZswcdHR1Jk7g7VJM8FS/WvQ4AOL74KJhUs2fu4o2PdPLz64o5joPRaERaWpqgChQsXmPWHzpCgqjOEFJMSmVMJhMqKyuh1+uZJmyjXifu2f4oOhyd+EH4YNPPSHsb/vvUdcg6/AisvPraFEYI6IsPqiEM1o9ALBbDYrHAYrGgvLycNjxarVbU1tbC5/NR6SlidiF09pFFsEr44o1rJuWMvr4+NDQ0QC6X0+tsMpliTjawOmYE8caXtnwlis86F62vvozP77kDp/7jXwmIbgLJSGjySTOAKeWrCxVR2SA5Vo6mzKBUKlFcPFFoHm9t3vbt23Hfffdh165d6Ovrw8svv0wVMwDg0ksvxT/+8Y+I3zn55JPx5ptv0n/b7XZce+212Lp1K0QiETZt2oSHHnoIGk1kY0s06PV6nHTSSbjrrruwfPlyiEQiNDU14U9/+lNSH5aE4LG8CCSbJF+7/gcoNhUgS5s5p9eTcZvLGEZToDAYDLSEQuhjQhIfyw9s1iDUpoScChBdaqlUCpPJhPz8/Hm7zCUbCokcT3z+DwRCAXzbu5l+f7ilGa2vvgyfc5QBkszXSp4qAyeXy5GVlYWsrCy6QSVmF21tbeA4LqI0QwjdcFbXVBYh1DNosnJGMBikJwpEOUOtVkeQ5tl4BMvPR2B+8X3rl79F69b/oPXVlzFUsxdpy1YIHN0EUjGGYrGY6es2V0Qlyfn5+Tj66KPx29/+FnfddRfcbjfEYjH27t2LZ599Fueffz56enqoDnCs6fTx8XGsWLECl19+Oc4777yorznllFPw1FNP0X9P1m286KKL0NfXh3feeQd+vx+XXXYZrrzySjz33HOzfn5ZWRnKyiIL5aVSKfx+f1InUywEL1VINsnTyNT49rKz5/z6mcaQdGkTUuz1eqMqUCQSLF9XVhHPfPN4PBF1xUQkX4hTgVSPlUwsQ4mpEI3WFthcDvr90QMHACRG2SIWhMNhKEwSqCxyuKxeDDbMrHDBl5orKCiIyD729PSgrq4OSqUyQmoulRJkQoLVtT5Razz/RAFAhELK/v37qeMjIc3RGqBZHTOC+cRnrqxC6XkXYP+L/4fP7rodZ/zrRYGjm0AqzWJYvnZzQVSSHA6H0d7ejp07d+LFF1/E0qVLMTIygr1798JkMuH999/HSy+9BK/Xi4KCAjz77LMxfeipp56KU089dcbXyOVy2l07GQ0NDXjzzTfxxRdf4LDDDgMAPPLIIzjttNNw//33R5SIzBWEhAcCgaRlmQhBYzGjR8ByJhSIvAGJ5S75Gh8fp8fq5eXl0Ov1SXeLZHn8WI1rLiDXmhBjIsFHjDwWm3NUZXoZGq0tsLpsACaaYZydHQCE0UgWAulVenRsH8RYvwcumxcq89wMKaLp9pLSjObmZrhcrgjrbIPBMOu1ZXVusxoXkBwyM1khhWxubTYbVc4guuNEOWMxk2QA+NZNN6Pl5Rdgb/QfsZ0AANGWSURBVKiDd2QEcr1ewOgmIETj3jcVURkDqc287LLL6MWXSqU4/vjjwXEcAoEAlEolQqEQ0tNjd3maC7Zt24b09HQYjUYcd9xxuOOOO2A2T9id7ty5EwaDgRJkADjhhBMgEonw2Wef4dxzz43580imwuv1Jo0k87OgrCJZJC8YCuK85y7HhqIjcOXa70Mjm92NiNh+A8CuXbswNjYGpVIJo9GIoqIiGI1GJjJQLF5fVh86M2mU84XunU4nlEol1fCdSYJPCKT6GlamleBlADaXHdqvSfJIJxuZZGDiuqVX6dCxfRDARF1y4dHxPRskEgnS09Pps8Xj8VAXwK6uLgSDwQjr7Ol0yBfaHE8lUkVEFQpFhOOj2+2mZThEOUOtVsPn82F0dDQhJXHzxXzrfY2lZTj7P28ga90RECeIe7C+0WAZUZ8qJpMJL76YmLT/XHDKKafgvPPOQ1FREVpbW/HrX/8ap556Knbu3AmxWIz+/v4p5JxIj/T398f1mYQYJ7PYnExalmXgkkWSdxz4DNvaP8Gevjpcc/hlUV9DNGxJBpHoVgNAdnY2zGYzc9KELC9MqSZ+04HU6RNrb2L5TDQ556M2slBRmTZRHmZ1OaBFLgDAa7dBJgZM5ZWpDI0io/pgBmywYTRukjwZCoUCubm5yM3NjVBTIJlmqVQaUc/MkqXyZLB8z6V6reI4DiqVCiqVCnl5ebS3oL29HS6XC5999hldA0imOZVa3ARCjF3u0RuFCWYaLHQlslRixtTL5Bt6uhtc6MG/8MIL6f8vW7YMy5cvR3FxMbZt24bjjz9e0M8iIBnHVJBkVhdOILIkJJGLEdFGPqfqFMjEMvqZRIGCECVyypGeno6KigrIZDJs374d6enpTGSNJ4PVcotUP1iiwefzwefzobe3F21tbfD7/TAYDDCZTFiyZMk3Wpqt8mutZLvbgSLe97W5eZDpdKkJahLSKnkkOUH21JPVFMhpEr8xTKPR0HsuEAgkvcRqNrA4h1kgyZPBcRy0Wi3S0tLgcrnwrW99i6rU9Pf3U+UMPmlOxcZZyLEL+v048PZ/UXTamYtCa5q1ORUPZlw9Jv+BqfqDlyxZAovFgpaWFhx//PHIzMzE4OBgxGtIHdt0dcyzIZWZZBZJFEEymgu9AS+2NrwFADir9GT09PTQuuJgMDgjUQoGgzQ+VsFqbKmOixAcki0eHx+HWCyGUqlkSpqNhYW+yJQPuVgGEQ4mJDiplIlSC4L0qoNkPVn21GKxmBKksrIy2qzb1NSEwcFB9PX1Uak5i8UiuNRcLJiPfXEywGpc5NkzWZeXKGfY7XZ0dnaipqYGarWakuZkqdgI9WwMBQL43w2Hw95Qh7Neeg35x54gQHRfv3cKG/cWOtjaYk+D7u5u2Gw2ZGVNWBSvX78ew8PD2LVrF9asWQMAeP/99xEKhbBu3bq4PkMsFkMkEsHn8wkW92zgOI55171EE3mv14vnd7+CEa8TZrkR6PZhwDAAo9GI3Nxc6HS6GU8qWN9oHMokHwQ5KudLs5FMEKkhr62tRVpaGkwmU9LjYxkSkQQN1+3AXl8fPvmkGQBw1vOvImd16ktOyPxWmeTQZing7PNgsH4kJdkrYqnc398PrVaLrKwsWs/c3t4OjuMi6pkXgyOYEGAxk0wwXWzRlDOI3FxLSwtVziDX22g0JuRUQTD5PIkEeRuPg72hDp/ecRvyNh4v2DU51LgXP1JCksfGxtDS0kL/3d7ejj179lA7w9/97nfYtGkTMjMz0draihtvvBElJSU4+eSTAQCVlZU45ZRTcMUVV+CJJ56A3+/HNddcgwsvvDAuZQsCmUyGQCAw778vFrBKogiEJqF+vx/Dw8MRChT/2/oqAOC8ytOwccPGmLKHC4Eks4pkjNlky2cAMBqNyMjIQEVFBZRKJdNjxBLMKhPA9dF/cyIRFIbUWGVPh7RKPZx9HrhsPowPeqHJSB2JF4lEUKlUyM/Pp+5wk40uFApFhNRcIjOPLGeSFyJJngypVBrR8On1eqkTYH19PTweDz2VnKtKipDxzQVrfvYL1P3jSQx+9SXa//salpx2piDvm6pMMqtzKhakhCR/+eWXOPbYY+m/r7/+egDA5s2b8fjjj2Pfvn34xz/+geHhYWRnZ+Okk07C73//+4iGjGeffRbXXHMNjj/+eGom8vDDD88rLqlUmtRMMrD4STJxOyPHYk6nEyqViipQSFRSfP7ZHgDAxYddEPPxOuskGWAztkQtXiSbQ4ix1+ulls/5+fmzHnezuqiyeA1ZArlu6VU6tL0/AGCi5CKVJHkyOI6DwWCAwWBAcXExlRG0Wq0086jX6yOss78p2TeW53e8JFQul1PlDABwuVxUOYOopJBSHJPJFHcpjpBNcaq0dKy4agt2PXAfPrvzdyg65XRwAhH5b8pcFhrTkuRXXnkFbrebNtP4/f4p//V6vbjrrrti/tCNGzfOeFO+9dZbs76HyWSak3HIXMFxHDUUSSZYt6aOlYQSBQqSORwZGYFMJqPlEyaTKWKz0z3Sh9PLT0CLrQPLM+Orr2R5o8FybELERYwg+NJspC6wrKwsLmk2Vscr1ajpb8Cr9W/Cggnzpi//+AcUHHFPwmSj4kFGFV/hYgRLjs1ISRxzmUMSiQRpaWlIS0sDMCE1R0jUvn37EAgEIuqZ59s4eiiTHB+Eii2acgbJNLe2tkaU4phMpmmlBRMVH8Gqn1yPmif/Alt9Lfa/9DzKzv/OvN+T5evLOqZ9ep177rmQyWRQKBSQSCQQi8WQSCSQSCSQSqWQSqUQiUS44447Fs0O5VAmeSpmI8lksSHlE0Sqa65H6rn6LPz9vAcRCsd/HMTyzc/q9Y13zIjiCF+ajcgvRtsEJSuubwJC4RBa7B2UJA/u/oopggwAaXySnCCFi7ki1rmkUCiQk5ODnJycCBJFalxJkyApz4hVSYHFdYAPVu+9RBA8opyh1WpRWFhIddhtNhsGBgbQ2NhIpQUJaZ7OKl3o+BQGI1Zdex0+u/N3+OwPv0fJOZsgmmct9SGSHD+mHXmpVIodO3Zg7dq1yYwnpUhFJnmhNO6RGIngO9/ZLhQKwWAwwGg0xi3VJeLi32ixSkRZx1zHzOv1RtQVE8URs9mMkpKSOWdcFipY+dtKzEUR/9bm5qUokkjw51F6JV/hYjQV4QiCaCSKSM11dnaitrYWarU6gkTN9cSElfnEB8skKhmxiUSiiFIcvrQgud5KpTLiepP69UTEt+Kqa7D3iUehzc2Dx26DKn1+JzKHdJLjx4x3tcvlAjCzXvJiGvhUkeSFQPAGBwepZrHP54Ner4fRaJyXBfAX3buhkWlQmV46r9hYHkNWY5tpUQ8EAlSazeFwwOVyQavVwmQyITs7G3q9PqH3PYvjxQLUMhV0cg39t4YRksyHQi+DPleFkW4XBhtSo3ABCD+HiIkFcXj0+/3UOruxsRFut5tuHInU3OR75FC5RXxIRWx8aUEgunKGVquF2WymMqRCQqbV4sIdn0OTFb8QAR+pGMPFso5PIclkMMViMb34rOglJxKHapIPgihQ8BUJ+vv7YTabBdWvvfnde/Bp1y48eubd+P7K8+N+H1aJKMB2bCQufh05cTJUKBQR0mzJMmpZjGuLkDAqDbCjH8MYwBINO01xfKRV6TDS7YJn2A9nnwe67OjH1IlGIueSVCpFRkYGMjImMnz8prADBw4gHA7DZDLR0gzWpeZYXaMANgh8NOUMu91OyzP8fj8+/fRTSqyFUM4QiiADh3SS54NpM8mhUAgejyeZsaQcqapJTnW5BTlaIuUTpPmKiLbX1dWhuroaGo1m9jebIw4Md+PTrl3gwOH44qPn/X6sLvIsLkzhcJg25O7btw/Dw8MAJpphMzMzUVVVNW393TcVLMwvu92OD3e/gE40AQBe+Dfwou1LPPPMMzAaUysFx5/n6ZU6tLzdDwAYahhJCUlO9vWa3BQ2ub6VNC8DE0kI1lwAATbXKoANkjwZcrkcWVlZyMrKglqths1mQ2ZmJmw2G7q7u+H3+2nTp9lsnpeJjds6hL3/71Gs+dmNkMa52UqVugVr1y0eTJtJzsnJoQ/KUCiEUCjE5I0tJKRS6TdCJ5k0KRBSTEwdSPmE0WiMaL5KRLb7xbrXAQBHFx6OLO386q1YztYCbBAsn89HpdkcDge8Xi9EIhF0Oh0KCwuh1WqZWdBYGC8W8YMf/ABdQ/sjvvf+++/jkksuwdatW1MU1VSk8+yphxpHUXx8fC6o80Wq5jPHcdDr9dDr9ViyZAl1hiMusR9++CF0Ol2E1FyqnSVZJKIELMcGTMQnlUqRm5uL3Nxc2txMThba2toAIMI+OxbljP+ccxpsdTWQaXVY/ZPr445xMZXGJhNTWC8ZyNbWVoRCIXzyySf4+OOPIZVKkZOTg8MOOwxFRUVT3mgxQCaTJT2TnIxyi/kqUCQixhdqJx7q5y89Y97vxTJJTlVsRJ+akGKn0wmNRgOTyYTy8nIEg0F0dHSgsLAw6bHNBJYfhqlEc3Mz3nvvvSnfDwaDeOedd9DS0oKSkpIURDYVafzmvYaF27wnFIgznFarRWdnJzZs2EDrW2tra+Hz+WA0GmlpRio2rCwTUZZjA6bGx3EcNBoNNBoNCgoKaDmbzWbD4OAgmpqaIJVKI0jzdCd3HMdh5Zaf4L0fX4FdD96PpZf+EDKdLuprZ0IoFEpaydxiw4yp4R/96Ef45z//CY1GA6vVCr1ej8rKSjz00EOLUvVisahbEAUKQpCGh4epAoXJZEJxcXFMigRCE736wWbUDTZBKpLirIqT5/1+rJPkZIBshPiWz2QhzsvLm+ImZrPZmB0z1pCqB3QgEMDg4CD6+/vxwQcfzPjad955ByaTCUajMeUEK62Cr3CRGhk4Fuc2iUmhUFCTi8lZRyI1x69nTkbpE4vjRbDQSPJkiESiiJOFUChET/W6u7tRV1cHpVIZQZr5a3X5t7+Hrx68H47mJux5/GF866abBY/xEKbHtOUWf/7zn/H+++/j5Zdfxsknn4y8vDx88skn+Otf/4pf/OIX+Ne//oWsrKxUxJwwpCKTLBTBI40EJFvs9/upb31+fn7cChRCxkjwQu1rAICTSjbAqNTP8urZwTpJTlRsHo8nQpotFArRjFRZWRlUKtWCXBhZvZaJBsk49fT00JIYYGLzXlFRMePvqlQqfP755+A4Dmq1Gunp6SgoKIBMJkvKHOB/hkIvgy5HidEeN4YaRlP2gF4Icz9a1pFYZ/MJFN86OxEZQZZJFMuxAbHHJxKJKBkuLS1FIBCgTYBtbW3Yu3cvVRMi13zdr27Bm5ddhN2PPoRlV1wNpckcU4ypaNzjOI7p6zZXTEuSn332WWzZsgUnn3wyfD4fgsEg+vr6cPvttyMvLw99fX3IyspifgLHgoVUk0wkaciXy+WCTqeD0WgUVIFiPjFOh/fadgAAzl8qjC896/NPqLEjNrqEFLvdbnrNc3Nzo8pOTQdWNxasX0uh4fP50Nvbi6GhIYyPj1M9U41Gg7y8POTk5NCs0gknnID33/8AodBBySmxWIxjjz0WF110ETweDzo7O2G1WtHe3o62tjZIJBIYDAbk5OQgPT09abWvaRU6jPa44Xb4MD7oTbo9NYtzey4ScKQMzmg0oqSkhBIoq9WK5uZmuFwuap1tsVgElWNk9d5j8VryMV8NYolEEqGc4fP5qBMgkRfUpWdBW1YBZ3Mjdj14P466/e6YPuNQTXL8mLbcwmazUXkbkUhE3faAg93xiw2pULeYa70vX4HCbrdjbGwsQoHCYDAkrOZIaEL1zmX/i3dbdmDjkiMEeT9WCR8wv9hIgyUhxaOjo/RYrri4GEajcdE307ICoTc6vb29GB0dpeVdCoUCmZmZyMvLg0ajifpAe/rpp3H+Bd/Dpzu30+8de+yxePrpp8FxHJRKJcrLy2nNud1uR09PD4aHh2G1WgGAZiXz8/PnbbM8E9Kr9Gh9bwDAhD11skkywC7piwWTCZTb7aalGbt370YwGKQZR4vFErexD8vJLpZjA4SPTyaTUeUM4OA191x2Bep+9XPs/X+PgjviGGSWlsFsNkOv18/6+ayPIcuY9gmbl5eHnp4eqmohEonQ2dmJ7du3o7i4mPrdL6aBZ6kmORpBIgoU+fn5U2pMUxFjvJCJZTit/HjB3o91kjxXhMNhuFyuiLIZYmKQlZWF6urqmK1wZ4qL1TFjNa54EAqF4Ha70dPTA5vNBrfbDWCC/Oh0OmRlZSE9PX1Omx2j0YiHH3sG3zrlfuiU49jxynXTNuuJxWKkpaXRddrv96O7uxuDg4Po6elBV1cXRCIRtFotMjMzkZubK+gmm1+XPNQwiiUb56dgsxggBFFRKpURKgqkIWxoaAjNzc2QSqW0NMNsNs/ZIp5lEsV6FjTRY0euec5VP4bjtf9AV1yKtIxMjI6Oor29HQCo0Y3ZbI66+U2F495iWcenrMxkcI877ji0tLRgYGAAWVlZyMjIwC9/+UuMj4/j/vvvR3FxcdKDTTRkMlnKHPf4jVek2U4sFsNoNCIrKyul2rVCEapQOAQOwtcpsUz4gJkXC5/PF1FX7Pf7aYNlUVFRQrN9LI4Zqw/qWBAIBNDX14fBwUGMjY0hGAyC4zioVCoUFhYiLy8PMpks/oeW1AyZNjcmNQupVIqioiIUFRVRctXV1QW73Y6mpiY0NTVBJpPBZDIhNzcXZrN5XtciUuEi+c17LM5toWPiOA46nQ46nQ5FRUX0tNFqtaKjowP79u2jrnCktnW6chsWx4uAZQIPJI/EcxyHc155EyLeNeRrcpONkkQiibjmKpWK+TFkGdOS5Kuuugq1tbV0J/r9738fDocDV111FS3DWGxIZiaZZA09Hg9cLhc6OjoQDoepAHlJSUncR2dCQygS+kHbx7j+v7fiB2u+h5+s/6EAkR0Eq4v85LEjDzJCiom9aSJqyWeLi1Wwdi1nGyty6tPd3Y3h4WFasiWTyWCxWJCbmyuIA9dcYpnre+h0OlRXVwOYmJMDAwPo6+uD1WpFf38/JfXp6enIz8+HQqGY9rOjXa8IreQUycCxOMcTGdNkK2VS22qz2VBXVwev10ufL8Q6e7J0GYtgneAlMz7RpGfDZE3uUCiE4eHhiMZPhUKBUCgEhUKB9PT0OZ8uHMIEpj3js1gs2LhxI/33tddeCwAYHh7Gm2++iZUrVyIzMzUi8YlCojPJHo+HHqPb7XYEAgFIJBKo1WpUVFTMS4EikRCKJL9QuxUdji4cGO4WIKqDYD2T7PV60dHRQU8ISNlMQUEBjEZj0spmJoPlMWMdHo8HPT09sFqtcLlcNJuk1WpRWFiIrKyshFxXo06Ozecvg1ol3HuLxeIISTLytw0ODqKjowPt7e0Qi8XQ6/XIyclBZmbmlI3cZJKgNMqgzVLA2efBUOMhrWQg+WSPX9tKkjKENLe3t4PjOCo1R047WMQhkjwVQ/v24PM/3IEjbr8bxpJS+n1SnmcymahyhsPhQG1tLaxWK7q7u6HRaCKMbA7pJ8+MOXX9uFwu9Pf3Y9u2bXjnnXfw0ksv4eWXX8Zpp52WklqXREHoxj2fzxfRbOfxeGjWsKqqCnq9Hs3NzZDL5dDr5y+FligIQULdfg+2Nr4NALhAIFULAtZIMl+jemhoCMDEpjMtLQ3l5eUzGrckC6n+/OnAalyBQIBmW0dHR6kKjlKpRE5ODnJzc6FWqxO+FmZlaPHYnacm7P1JA2BJSQlKSkoQDofhcDjQ3d0Nh8OBmpoa1NTUQKFQwGw2Iz8/f9r3SqvQw9nnwfiQF+NDHqjTkte8xzqxSjaINKBarUZ+fj49/bDZbOjt7YXT6UR9fT1sNhslUKyQJ9avZSo40Gd3/x4db74OiUqFk//2zLSvk0gkSEtLg0KhQGFhIcxmM5Wbo8oZPPdHg8EgqCoWy9dtrpiWJAcCAXi9XnzxxRd46aWX8Prrr2NsbAynnHIK3n77bRxxxIQywWIhyMD8JeACgQAlxeQoXa1W012dwWCY0qDDGsGLBiFifGv/B3D6xpGvz8G3clcJFNkEUj2GfDk+shnS6/UwGo0Ih8NQKBQoLS2d/Y2SDFbnHQtxhUIhjI+Po7e3F2NjY2hoaAAw8dDR6/XIzs6GxWJZ9OoiJNtoMpkATMz13t5eumHo6ekBMJG1FIvFyM/Pp+QqrVKHtg+IwsUoipJIklkES2RPJBLBYDDAYDCguLgYH330ETIyMhAIBNDS0oI9e/ZESM0JVS4UD1gat2hIRXzrfn0LOt58Hftfeh5rfnYjLNVLZ3w9OemSyWTIzMykVQAkoWOz2bBv3z7aE0NIcyyyoosV0+okv/jii7jlllvQ29uLo48+GnfccQcuuOCCRf1QkMlkGB2d+9EgEX4nBIkoUJhMpjkfpSfDlnq+EIKEPv+1DfWm6jMg4oS96ZJNksl15yuPEDm+yZuh5uZmJhd4FmNKNfx+f0TDHRHgl8vlEIlEcLvd9EETDocFd8qcC4LBEMZcfnAcoNMkt7aQSH9yHEfnt1QqhUwmQyAQwP79+7F//35IpVIYjUYocw7OsaHGURQdk57UWA9h7iC1rURqzuPx0NKMvXv3IhAIRFhnJ7KheDIOkeSpSFu2AiXnbELLf17EZ3f9Dqc/+/yMr58uRnISlpOTQ90fCWme3CeV7OvOCqYlye+99x7279+PBx54AJs3b4ZarV7UBBmYPZNMusIJKR4eHoZEIpmXAoXQ8mqJwHyJ/LBnFO+0fAgAOH/pGUKFRZFoksxfPMi1J9c9JycHy5Ytm7YZItVZ7pnAYlzJXIBJk0tPTw9GRkZoqZVcLkd6ejpyc3MjzBrI5shqteLAgQOora2FTqejxGEueqXzRUuHA6tPexImgwJdn/0koZ8FHNR1tlqtE1qtHg99aJaVlUU0FweDQQwNDaG3t3dCsQUe+j5NH3dg6fezk1pqxNrDnGWyNzk2hUIRQZ7GxsYoad6/f3+EgoLZbBZMmnIusbGGVMW37le3oPXVl9H+xlYM7PoCGWvWTvvauTju8d0f8/PzqXIGMbPZv38/tUwn112lUkV9L6LYtRgwrbrF5ZdfjvHxcdx+++245557cOyxx+L000/HqlWrkJWVBYPBkOxYE47JttSk2YEcow8PDwMAPY4oLS2dt/XvQiDJ8yV6rzW+DW/Qh8q0UlSnlwsY2QQSsUARm29CjEkmhZi3xKI8wuJiwfpDJxEIhULw+Xzo6enB0NAQ3G43wuEwxGIxtFotioqKkJ2dPW0ygO+GVlpaCq/XC5vNBqvViq6uLoTDYXo8HYtGLUsgG0JCih0OBxQKBSwWC8rLy2eUEROLxfQoNxwOY6RiDLW/eQvAhAzc9u3bIRaLqT50Tk5O0hwAWQCL6wDBTESP4zhotVralEo2l1arFZ2dnaipqYloBjOZTIIn1Fhfr1IRn7GsHOXf+R4a//VPfHrX73D2i69N+9p4ZOr4yhlFRUX0utvtdvT29qK+vh4KhSKCNC/ENW82TEuSDz/8cBx++OEIBoN444038I9//APXXXcdDAYDVq1aheuvvx7r1q1jfpcXC2QyGRwOBx555BFs374d3/72t5GWlkbrSwsLC6HVagX9e1nONBLMN8ZlGZW4dPV3UJVWlpC5IsQY8uvJ7XY7xsfHqeVzdXV13PavLG+CWJ93QiAQCGBoaAj9/f0YHR2lXfxEoD8vLw9KpTKuayuXyyNUIUZGRiKklzQaDSXMQtd0Cnnp/H4/PWK1Wq3w+/0wmUxIS0tDZWXltNmimcBxHAxZWqjT5Bgf8iLQL8batWvR1dUFh8OB+vp61NfXQy6X0wZAITPxrM5tVp+VsTzH+QoKwMT8IVlm0gxmMBjo3J9vXetcsqCpRCo50Ldu+g2aX/hfdL3/Lno/+QjZRxwV9XVCxMi/7sQynTwviS63RqOhpFmv1y8K0jzjdi8UCkEsFuPMM8/EmWdOKBK8+uqruOeee1BTU7MoSPLQ0BA++OADvPfee3jhhRdgt9vR1dWFI444AtXV1aioqEho4fo3oSZ5RVY1Hjr9DgEjikQ88YVCITidTpopHhkZobvioqIiwaRxWL03FmtcoVAIY2Nj6OnpgcPhgMczceRP6mRzcnJgNpsFz2ByHBfRCEVMYqxWK2pqaqh9MCEO8RoDCXHZSNkYyRaPjIxApVLBbDajurpa0A73tEodxoeGMD7ohSyoxLJlywBMlGb09vaiv78fAwMD6O3tpce9GRkZ1HBlvqd0LGGhPyung1QqjWgG40vNkbpWfmlGPKevLI9bKhW+dAVFWHPdDVBY0uZdbhEriHIGcfXkG2M1NzdDp9NhzZo1gn5mKjAjSSYX3ul0wuPxQC6X46yzzsJZZ5015TULDU8++SQeeeQR1NTUYNmyZTjuuONwzjnnoLu7Gy+88ELS4mA500iwEGKcjSSHw+EIaTaHwwFgws4zIyMDlZWVCXM0ZHUTtFji8vl86O3txdDQEMbHx+lDS61WU3m2ZGtR87vI+fbBfX19aGxspKSUKAckuuyAbyxhs9kQDAZhNpuRlZWFpUuXJmzuWyp06Ng+IYNobXIi/4iJzJJYLEZeXh7y8vLovdnZ2QmbzYaWlha0tLRE1P2npaV9o0ozkg0hCbxKpYJKpaLXdnR0lJrUNDQ0QC6XR1hnz3Zvsr65SHV8635966yvSYYr4OQ1j2Xt7VgwI0kOBAJ488038cILL2BkZARmsxkbNmzAKaecQncP8WL79u247777sGvXLvT19eHll1/GOeecQ38eDodx66234q9//SuGh4dx5JFH4vHHH4+Q0rLb7bj22muxdetWiEQibNq0CQ899BA0Gs2sn5+fn49f//rXOPbYY+nf8sgjj6Crq2tef1esWOzlFvd/9Dg2FB6Ow3JWJuyGmS4+coxMiLHX64Ver6fqI0KXzsQSW6qxkBevUChE6+JGRkaoAZBCoaBZSJaMeYjDHbEP5pc31NfXw+fzRSgHzCXTNpdNISn/sFqtGB0dpRbFy5cvj7t8KFak8+yphxpHkX+EZcpriLtfRUUFgIkss91upw6GRGtcqVQiLS0N+fn5s/YEsHjPpZpMzYRExcavay0uLqbX1mazoa2tDXv37qU6vdNtGFkeN4Ct+EKBADixeEo8qYiRlfV3vpiRJN9555248847sXHjRhw4cAAulwtffPEF3nvvPTzyyCPQarVxf/D4+DhWrFiByy+/HOedd96Un9977714+OGH8Y9//ANFRUX47W9/i5NPPpkWiwPARRddhL6+Przzzjvw+/247LLLcOWVV+K5556b9fNPPPHEKd9Lpi01wWIut2gY3I/ff/An/EEkRfP1n8CkNAgfHA7GFwwGqSSf3W6H0+mERqOB0WhEeXl5UjJ20WJjFSzOu2jjFQqF4Ha70dvbC6vVCo/HQxvudDodzV4sFPUdqVSKjIwMZGRkRDTKDQ0Nobm5mRp1WCwWGI3GiL9rpvnEbyS02WxU4zgvLy9lTTVpFQefEXO1pxaLxVOOcXt6ejAwMIDu7m50dnZCJBLRa5+TkxO1NIrle481JItETb62ZM7ydXr5G0atVssUCY0GVuJrfe0V7Lz9t1h/y+9RfMbZET9bTKZvyca0EnDEWe/JJ5/ExRdfjGuuuQZqtRp/+MMfsHHjRjzxxBP4xS9+gWAwGBfxOPXUU3HqqdGdo8LhMB588EHcfPPNOPvsiYv9zDPPICMjA//5z39w4YUXoqGhAW+++Sa++OILHHbYYQAmMsGnnXYa7r//fmRnZ8ccUypIMquZRj7ijfH/al8FAJxYckxCCDKRJnK5XBgdHUVHRwetPc3Ly4PJZEqZ5fPkOFkDC4v6dAiHw9ThbmBgAE6nkx7dqVQq5OfnIzc3FwqFYsEv/HzZpcLCwohMW1NTU4TkmsVigUYlxQVnVEKlkNBuc0KMx8bGqAFEQUEBdDpdyq9zWgUvkzxHkjwZMpkMRUVFKCoqoqUrXV1dsNvtaGxsRGNjI7V6z8/Ph9FoFCp8QcEKmWIJk5tfx8fH6XxuaWmBWCymro8mkylhZUHzASvXdWjvbgzvb8Znd/4ORaeeARGPl7ES40LEtKmX+vp6mEwmfPe73wUwsZgfOHAAHMdh1apV2L17N4DEEID29nb09/fjhBNOoN/T6/VYt24ddu7ciQsvvBA7d+6EwWCgBBkATjjhBIhEInz22Wc499xzY/5cmUyWEpLMer1vXI1x4RCe/5okf3vZ2bO8eu7weDy0fMJutyMUCkEikUCtVmP58uXzluQTGixvgliKi9jk2u12eL1edHZ2Api4J81mM3JycmAymRY8KZ4NkzNtLpeLZoZbW1shkUjw4+9MZKC3bdsGsVgMs9mMoqIiZjaFfKjS5FCaZXDbfBhqjI8k80FKV6qrqwFMlGb09/ejr6+PqpiQ+7+vrw86nQ4KhYKJNYGl+20yWCBR/A1jQUEB1SXfs2cP7HY7enp6Imr5EyE1Fw9YydKuuuY61Pz1Cdgb67H/xf9D+be/S3/GukIIy5h2hhHyRiahXC6nR1ojIyN0R5eIge/v7wcAZGRkRHw/IyOD/qy/v5+6AxFIJBKYTCb6mliRKpLM8uIJxBfjzs4v0TXSC51cg1NKj437s4nMDCHFbrcbWq0WJpMJy5Ytg06nQ3NzM6RSKdRqddyfkyiwen1ZWDD5msXj4+P0QU1i02g0SE9Ph8ViYSIrmgrI5XKo1Wq43W64XC64XC66NgeDQWg0GtooJYQai9DgOA7plToc+MgKZ58HnmEfFAbhiDzRZpbL5RgaGsLQ0BC8Xi9EIhH6+/vR398fYSWemZmZ0gZAVucwCyR5MoguuUKhQFFREcxmc8Qpi8vlirDOTlad/WSwMnZyvQGrfnI9Pv39Lfj8D79HybnnQyyV0ucPC0R+IWJakkzq5To7O5Gfnw+JRILe3l68+OKL2Lt3L269daKjcjEN/KGa5OiIh+iRUouzKk+BUjp3NyZ+RpFYPiuVSmriMblGk8THKliOLdnzLhAIwG63o6+vDyMjI9TdUqFQIDs7G3l5eVCr1RCJRBH1tZ2dneA4DhaLhdYqskgIhQAxMCJ/u8PhoNl0YnkuEk3Mf7/fGyG1RbLKc1UNSBYsFRMkGQCGmpzIW2ee93uSDDt/jCwWCyorK6nhSTgcjmgArKmpQU1NDTVHyc/PT0rzLgHL6zwrRC8aSGz8Wn4AcLvdEWtEKBSKkFmMxfBJiPhYwIqrtmDvE3/GSHsbGp97BtWbf0DnHSsxLjRMayaydOlS5OXlYceOHbjooouQn5+Pe++9F83NzfjpT3+Ks88+G8FgMCEkmegtDgwMICsri35/YGAAK1eupK8ZHByM+D3yECa/HyukUmmE414ysFDKLWKJ0Rvw4uX6/wIAvr30rBlfO9nV0OFw0AxCVlYWqqurZ7U8ZTVbS8BibOQ+T+QCTxruuru76SkAMHHio9PpkJ2djbS0tKhHpvxaRb4ddHt7e4QdtMViSSrRSQSms362WCxTrJ/bOh1YduJfoVXL0P/VdcjNzUVubi4TltnTYXJdcjwkORgMUpc3q9UKt9s97RgRcBxHNwzAhNoNaQDs7e1Fd3c3RCIRtFotVUVJ9OaL1XnK4hpFMN0aRQyBcnNzI2QWBwcH0dTURDeXiXaDY4kkS9VqHHb9jdjxqxvwxb13ofw7FwFfr6+pSGiyMi7zwbSZ5Orqajz11FP05jnrrLNQUVGBo446imYoEnVsVVRUhMzMTLz33nuUFI+OjuKzzz7D1VdfDQBYv349hoeHsWvXLipY/f777yMUCmHdunVxfa5cLkcgEEjqpGed4AGxx9hm74RaqoRaqsRRBd+a8nMiOk6Isd/vp9JsRUVF0Gg0MY0/y2PIamyJmt+BQAB9fX0YHByE0+mktXBqtRpFRUVUsziWBXuyHbTH46EZJJJBJYTZZDIxn2Wej/XzdJirZTb5mm3jKSTiUbgAJjKFhBTb7faIjHo89ahSqRSFhYUoLCykTb9dXV2w2Wxobm5Gc3MzZDIZjEYjcnNzYbFYBL1PWCJT0cBqbHMZt8kyi8FgEA6Hg56y7Nu3j0ogEtUYofgLa9e1+tIfYvcjD2Cstwdtr7+KorMm+rNYinEhYdpVJhQKwev1Apg42lKr1Vi9ejVsNhu8Xi/C4TBCoRA8Hg+0Wi3y8/Nj+uCxsTG0tLTQf7e3t2PPnj0wmUzIz8/HddddhzvuuAOlpaVUAi47O5tqKVdWVuKUU07BFVdcgSeeeAJ+vx/XXHMNLrzwwriULYDUZJIXQrlFrDFWppei9icfonOkB2KRmGaBCCkeGxuDVquF0WhEZWUl9Hr9vBYslrPxrC9M813gSQazp6cHw8PD9P6RyWRIS0tDbm6u4JbMCoUCOTk5yMnJoQoPVqsVbW1tqKmpgV6vp6Q51g1XokC0kQkxnq/182z342TVAGLo0NPTg/r6+oRaZk9GRCZ5hua9UCgUkVF3uVzU3ri0tFTQ43OO46DValFVVQVgIlM9ODiIvr4+2Gw2DAwMUDWVtLQ0FBQUMNMAmAiwRvT4iCc2/sYZiDTTqa2thc/nm2KdHe/fz1pTnEShwIb7HoJYIUfesSfQNXkxlcYmEzOqW1x77bUwm83w+XwIBoMIBoMIh8OUIHMch+HhYRx99NH405/+FNMHf/nllzj22IMNXddffz0AYPPmzXj66adx4403Ynx8HFdeeSWGh4dx1FFH4c0334zIgDz77LO45pprcPzxx1MzkYcffjjWMaA41LgXHbHGGA6HMT42Dm4khN0duzEyMgKpVEpNPIxGo+D1kqyOIavXdz4PBNJwZ7Va4XK5qGaxRqNBUVERsrOzk9Z1LhKJYDKZYDKZAETWKba3t0MikdDskdlsTlpc01k/WyyWeVk/x3PdJhs6JMoyezpoMhVQGKXwOPxTSLLH44nIFpPrVVxcnNTrJRaLkZWVhaysLITDYfh8PnR1dWFoaAgHDhygJxZ6vR5ZWVnIzs6O+fotNiKaLAgRm0wmi7i+/Lr/tra2iNIcYugTS3ysEdCi086g/3+oJnl+mHYFIrqTZCcmkUimfEmlUgQCAeqUFAs2btw4I3ngOA633347br/99mlfYzKZ5mQcMlekSieZ1SwowVyIHrF8bu5tAecKgwMHo9GItLQ0lJeXQ6lUJuwmZZWIEiz02AKBALVUHh0dpQ13/JpAlUrFxIOCHxM/M9na2oqamhqaPbJYLII39ky2fiaNRIm2fo4Vc7XMNpvNghxLcxyHtAodunbaMNrtRv+BQYx6J/Sdx8fHaea/uLiYicw/x3GQy+UoKSlBSUkJ1ent6emB3W5HXV0d6urqIJfLYTabkZ+fn9KabyHA+hol5NiS8i+1Wo38/HzaLG61WtHb24v6+noolcoI0jxTCRfLGwwAcNtsCLndSY2R5fkUK6YlyaWlpXjppZeSGUvKcSiTHB3RYvT7/RgeHqa2zx6PBzqdDr//6iEccPbgb+f+CcuLl6csPlbAamwzLZihUAjj4+OUFHg8HgATm0i9Xo+cnJykZvnihUgkimjc4te4tra20hrXeDVX+Q9Xm82WVOtnoWbU5FpOv99PNxYNDQ1xWWZPhsfjgSpPDOyc+PcXb+7DkqOysGTJkgVRQ06cC8lphd/vR19fHzW76e3thUgkgkajQUZGBnJzc6M2ibFKpljPNCZ63EQiEQwGAwwGA0pKSqgAgM1mQ0tLC7XOnq48idXrCgB1z/wdH918E7QnnQbE4R1xCLPYUkd7uEf7Hl/bdCHjkARcdJBsN1+v2Ol0QqVS0UYhg8GA3rEB7HqjBhw4lKUtSWp8rI4h6/cFGTefz0cNGcbGxqhAvkqlwpIlS5CXl8eMpFi8UCqVyMvLQ15eXoRawv79+6laAiHN02WZSdMg+SLHtMmyfk70bJJKpUhPT0d6enqEA9pcLLMJ+EobVqsV4+Pj4NIO/jxXWYzq6qIE/yWJg1QqRX5+PvLz8+nRfVdXF51L+/fvh1QqhcFgoA2ARJKO5fWA1diSPW4SiYTeA0DkPb9nzx5ankQ24KzVJPOhMJrgdzrheP1VuK1DUFrSZv+lQ4jAjCQ52oVndTIIgUOOewdBHpAOhwO9vb0YHx/H6OgojEYjdT+bTAier90KADiqcB1ydFnR3jYhYJkkA2wePZGY6urqMDo6Sue9XC5Heno68vLyoNPpmCihSAT4msLl5eURursky0wyzGKxmGZXU239rFRKcfpxJZDLEm+IMdkBbSbLbJ1OR+vByebBYrFQE4hOzo7GR3cAAIYanQmPPVkgR/ek5DAYDGJoaAh9fX0YHh7G0NAQAFDDl1AoxBxZ/qZnkmcDv1GYqKKQtWL//v0IhUJobm5GRkZG0pVjZsOSM86Gaely2Gv3YdeD9+OoO+5J2mezOp9iBdvnpUmGVCpFMBhEKBRKmisTSwTP6/VGSLMFAgEYDAaoVCqIxWKsWbNm2okfDofxfzWvAAC+s2xmbWShwfLNyMr1JWo1pOGOaBbbbDbI5XLk5eVhyZIlCz5bHC9UKhXNDo6NjaG7uxtWqxXd3d0ADvZoEDWWVM25DIsa//f4eSn5bL5ldjgcxsDAAHp6etDW1oZgMEhJdWFhIXJyciLmUlrlQYULqwD21KyCOAASrf6xsTG0trbCbrfD5XIBAN59911otVraAJjqcpNDJHnuIKooWq0WRUVFCIVCePvtt6FQKNDZ2YmamhpoNJpZT1uSGe/KG36F9y/9Lmr+9gRW/OgaaHPzkvr5Cx1xXz2WJq5QIJlRv9//jSDJREuSkOLx8XFq+VxdXU1rKnt7e6kk0nSoGWhAo7UFcrEMZ1WcksS/gh0iGg2pvEcCgQAGBwfR398Pp9NJiQwpO8jKyqJd3qS2kizuFosl4aUDrICvqUqkx/i11yKRiKpBfPnll1TTWGi9Vdbh8/loBo1falJZWQmDwUDnUl9fH1pbWyMsgzWZGsh1EnhHAxiMQSt5oYGvgW21WjE8PAy1Wo3c3FyYzWZwHEdr/RsaGtDQ0AC5XA6TyYS8vDwYjcakrxmsrp0ELHMNEteSJUugUCiocozNZkN9fT08Hk+E1FwqNtiZR2+AqmopXPW1+OK+u3DcQ48n9fMXOuZMksPhMAKBAMRiMUQiUcSFZnkSxwKyo/d6vUk7MklmTTLpZCfNdiMjI3SBLioqgtFojJrVmAsJ/d+aCRvqU8uOh16hnfG1QoN1kpys2EKhEJxOJ3p6euBwOKjOOZHf45M+Ap1OF6FyMDQ0hO7ubtTX10e42iW7rCCRmMn6uaSkJOp9oNFokJ+fT0sOojW2WSyWmPWOWQZfX9lqtWJ0dBQ6nW5aRQeiCFBWVhZRenHgwIGJsoR8Cby1AYx0uuAbC0CmWRwHmWSTZbVaMTQ0BJ/PB5PJhIyMDFRXV09RNTEajfT3SAKCaDST8o309HQUFBRAJpMl1diKRbDMLyZn4fnKMQAi1pmOjo4ppj7xNMLGg8xLLkfbL69Hw7PPYNW118NYUprwz1wsmHGVIrui5uZmfPXVV7DZbJBIJMjOzkZlZSXy8vJQUFDA7ASOFeTBSCSukoFE1yRPtnwGJhbpjIwMVFZWzkmWajaiFwwF8cLX9cjfTnKpBcA2SQYSm6nx+Xzo7e3F0NAQxsfHacOdRqNBXl7elGPv6cBXOSguLo5wbOvs7IRIJKJEcCEoW0xGLNbPM2FyycHkxjalUknHKV4t5JnQ1TuKZSf9BQqZBP1fXSfoewMHZezIOJGHeqyNiZOl+EZGRtBduhv22gmllG0v7cSSI7LoBmyh1b5HcwO0WCyoqKiYs2OiWCymjaThcBhut5s2ALa3t6OtrQ0SiQQGgwE5OTlIT09PyKnFoXKL+DHb2JFadHKNyaazv78fDQ0NEY2wJpMpIeVu4XAYmsqlKDz5NHS+9zb6dn6UFJLM6jWLFVGfdOFwGJ2dnfjrX/+KF154AQcOHIDRaIRer0cgEIDH44FIJMLatWtxzDHH4MQTT0RlZWWyYxccZIIm03WPTCShFgIi4USyxV6vl1o+FxQUQKvVxvw5s2W7RZwI/3fhX/By/X9xYskx8/0T4gKrJFnohYKQvb6+PoyMjNCGO4VCgczMTOTl5UGj0cybdPAd2/iudpP1htPS0pKWDYkFpMGGZDOFsH6ejMmNbUQ6ymq1or6+nmYUCWkWSifZ7w9BLBJmY81/cBPTE61WC4vFgpUrVwpCYIlldvG3ctH6sh0AIHNq4Xa7sWfPnpRaZs8V0RQ7iL6zEG6AxN2vvLwc5eXl9MSCOFlarVYAoJuw/Px8wTSlD5Hk+BHL2E029SFruc1mQ2trK/bs2UNPakgplxCbR6K+cdRd9wG4D4YlxfN+z28SopLkV199FVdffTXWrl2LP/zhDzjmmGOoRiRBY2MjXnvtNfz73//G559/jn/+859JCTiRICQ5mQoX5CaIdyEgBIYvzaZWq2EymVBeXi5INmu2TC3HcViRVY0VWdXz+px4wXImeb6xhUIhuN1u9PT0wGaz0YY7iUQCrVaL7OxspKenJzSzy3e1Kysrm6IEIZfLmajRnc76OT09PS7r51jBl47i16YODAygqamJmnQI8QCcz5zy+/0R2WJiepKTk4MVK1YkrBadb0/t7xNh2bJlKbfMngn8rLrVap2i2JHIhjv+iQUwcc26u7sxODiInp4edHV1QSQSQavVIjMzE7m5uXHHc4gkxw9yChzPHJVIJBHXmH96t2/fPrp+kc1jPAku4KAj4CFyHB+iPlmlUim2bduGsrIy+j1SgkAGvKKiAhUVFbjhhhuwdevW5ESbYHAcB4lEklSSzM8kzwUkQ0ZI8fDwMCQSSUTjh9APOZZJKMB+fLHGFggE0N/fj4GBAYyNjdGGO5VKhcLCQqpZnCrywFeCCAaDdGGvr6+H3++PaP5LZFYwUdbPQoCfZS4sLKSuhVarFbW1tRFW0LGMUzxcIdo4qdVqWCyWhJue8BGpcDEhAzc5u5Zsy2w++PJeQ0NDGB0dpYR91apVKVU1kUqlKCoqQlFREb2eXV1dsNvtaGpqQlNTE2QyGUwmU0ST4FywENZOVkmykPHxT+/4m2xiasKXrYxlzYi2ybDW1iAcDiFt2Yp5x73YEZUkn3baaVNfOI1oPMdxOPPMM4WPLEVItqEImbwzyc55PJ6IEopQKASDwQCz2YzS0tKEH3fPREJfa3wHrzW9g0tXfweH561JWAwzgWWSPJfrQpzburu7MTw8TMt9SDNZbm6uYEdvQkMsFkdkTwnJ6O3tRWNjI9RqNdLS0mCxWAQhGXzrZ6vVinA4TK2fly1bxuRRPTCxfmZkZCAjIyNinIgVtFqtpg8/IbKn/Ky61WpFMBiE2WxO6TjpcpWQaSTwjQUwNI0M3GTL7MnjJLRlNn+TZ7VaEQgEYDKZkJ2djeXLlzM5n0j/QHX1xMldMBhEf38/+vv7ab0r2VSnp6cjPz8fCoVi1nuPRSL6TSLJfEzeZJMTY5vNhu7ubtTV1UWcTM3kGDrZ7KT+2X/g/Wt/hMy167DpzQ8SNrasXrNYMeMZLVk0/H4/AoEAfD4fQqEQQqEQxsbGsG7dOgBsH4fEAo7jIJVKU1aTTBAIBCIsn91uN5VmW7ZsWdIbXWYiof/Y/b94u+VD5OqyDpHkKJguNr5m8fj4OD2h0Wq1KCwsRFZW1oLTLJ6sIco/rt69ezeVDCPZ07kcD09n/WyxWLBixYqkZUGFxORx4hNakj0l4zRdje7kKTXZ5ICfVV+2bFlKyxYIOI5DWoUWPV864OgYh98VgFQ1/SMo2jgJYZnNLxdyOBy0XKi6uprZzehMEIvFEWYXHo8H3d3dGBoaQkdHB9rb2yEWi6msYWZmZsTmgmUiynJsQPLi45e8lZaW0jXDZrOhsbERbreb1sgTqTl+KSd/TucfdyIkCgX6P/8UHW/9F0WnTE2KHsJBzEiSV61aFbELIdJJTqcTBQUFaG1tBcDuBI4Hyc4kk8k7MjKCsbEx2O12jI6OQqFQwGQyobi4mAlB8mgKHINjVrzX+hEA4MLl5yQ5qoNgmSQDB+UTiYbs6OgoLV9SKpXIyclBbm4u1Gr1gntAzwSZTIasrCxkZWVFND51dHSgrq6OLuppaWkRjU+ptn5ONqRSaUSWmZRG9PT0oKGhgZZGWCwWhMMH5we/UdBqtdJSl8zMTCxdujShpQnxIq1Ch54vHUAYsDY7kbXSOOffjdcym994arVa4XK5KLkuLy9nsvE0XhAd9NLSUpSWliIcDsNut9NTqpqaGtTU1NCxys/Ph0QiYfbvXwgkORWx8dcMAFRy0Wq14sCBA/SEzWw2T1Hr0mRlY/kVP8ZXD/8Rn95xKwpPOgXcInruCI0Zmdcf/vAHiEQiiMViSCQShMNh7N+/H//6179w8cUXJyvGpEImkyU8k0w2G6SEAgAaGhrosXFVVRVTD7jpSOiLda8hGA7isJwVKDEXpSCyCbC4gIZCIbhcLnR3d8PtdmP79u0AJo7d9Xo9srOzYbFYFpyUWrwgCgdGoxGlpaURElqtra2QSCRQKBTw+/3weDwptX5OJfhSfEuWLIkoL9mzZw+GR31YVWWAWARs27aNHrkulCyohde8N9QwGhNJ5mOysshky2y32003Xm63G2KxGBaLBcXFxQtSwjBekA2m2WwGMFGGQ7SZ+/r60NPTQ9f31tZW5Ofnp9wBkA/WSTKR3Ew1+JKL/I324OAg7HY7OI5DTU0N3USuvu7nqH36b7DV1aD5xf9D+QUXpvpPYBYzrhQXXXRR1O+vX78ed955J37yk58suCPh2ZCoxj2fzxdRV+z3+6k0m9VqxZo1a6BWqwX/XCEwHUn+177/AAAuXHZOcgOaBFYyyX6/H319fRgcHMTY2Bg9hZFIJAgGg7R+Ny0tDWaz+Rvj1DYTOI6jEoPBYPD/t3fe4VFV2/t/p6b3zISEFEKA0CFSA4g0BQTSQBEblmvBdm3Xeu1e/Spee8FrARsqSCAgAlKDVAEpoYVOembS69Rzfn/kt49nJpOQMjVZn+fhud7JZGbPzpmz1157rfcVmhQVCgWUSqVTzRTcEZakkEqlkMvlCPTn8NaTg8BxnCDFKZPJIJPJPGKexM17LdUldwSpVAqlUgmFQgGFQoHGxkaYzWZIpdJm/R7ucK9wFQqFQii30Gq1KC8vF8zBzp49i7Nnz0KhUCAkJERoAHTlfcrdg2R3LDW13mhfunQJxcXFUCqVuHTpEo4dO4aAgADELLgN5z//GPvffBV90uZC5kabI3eiQ9vpqKgobN26FTqdrksFyRKJBEql0i5mImazGdXV1UJQXFdXB39/f4SGhmLAgAEICgoSbj6XLl3q9Ps5EltB6GntWRwtOQG5VI6MQa6taXJVkMyOcQsLC1FdXS2cQHh5eUGtViM6OlqoDWPPZUfDer0eISEhQlObO50cOAJb1s+s+TQhIUHQfG1JOk3c/OcOmRtHwU6ZxDWzzMluwIABFs1q4prvI0eOAICFYoY73pvVFkFybadeS6wYUlZWJkjZWZflmM1moemJ6XyLLbM7Kq3lKYjdNLVaLerq6hAYGAiVSmWh8Ww2m6HValFUVISKigpoNBoAEL5/cXFx8PHxcepcUZBsH7y9vZGYmAjg7/tGacaNuPTT96i5eAEbXn8ZAxfejbCwMLuc3HWljWirQbJWq4VOp4PRaITBYIBer0dFRQU+/fRTjBgxoktmwjrauMcaZ8SWz8wOOC4uDiEhIS0uWu6SCW0JW+P76VgWAOC6PtcgzDfU1q85FWfMH8dxMBgMKCwshFarRWNjI3ieh0wmg7+/P+Lj4xEVFWXzKFfceJGYmIj6+npotVohELS3CoSr6Yj1M9C8q1us6Xv06FHBeMKdA8H2Ira6Li8vt9hA9e/fv8UTJnHNN8/zQs13fn4+Tpw44Za24kExvlD4ymBsMLc7k2xrA9GW5kSxdFa/fv2g0+mEuWaW2azhKSwsrEtdU1qtVmjAZzXILX1vZDKZhbKIwWBAfn4+tFot8vLycPnyZchkMgQGBgpSZY6OAdx5XQQ8I0i2HqP4voFn/o0Di99EUGgYqqqqcOHCBYsSnc4kcNx9XtpKi457EokEgwcPhlarFW48UqkUJpMJMpkM27dvd9vygM7Qnsa9xsZGC8tnjuOExS0xMbHNu+6WGuPcBVtBcnRQJBJCe7m0YY/hyE2GyWSCVqtFSUkJampqYDabATRlV6KjoxETEwMfH592Zzf9/Pzg5+cnBIJs4WcqECxg9qT6SdZIxrLFHbV+FsOOh9nCXVNTIyza4uY/T8sIsqYza4WFK7kBlmjrMOL6ryCTSpG3/2HhcYlEguDgYAQHB6NPnz7NbMXFyiKuDAQlUgnCEwNRfLgSlRfqYNKZIfduOdDiOA6VlZVCsKfT6RAaGgqVStVhgxhvb+9mltksYD5+/LiF65knWWaz4F+r1aKiogJeXl5QqVQdqleXSCTw8vJCnz590KdPH/A8j6qqKhQUFKCyshInTpzAiRMn4OXlJQTfjtjcUya581hLwIkZcuc9GHjLQigDAoTnsu9DUVERTp48KZxkMak5d6pZdwY2V182ob/++itMJhPkcrlQ85aXl4c1a9bAaDR6xAXSXloLko1Go4U0m06nQ2BgoHDEFxAQ0KEbqidmkv8x8hbcPeJm8HD9uO05f0zesLCwEJWVldDpdAAg1On17NmzVU3KjqBQKJqpQGi1WuFomG28VCqVW5Vl2LJ+ZjdUe1k/ixEbT/Tp00dQwWCKGXK5XAiY7f036iys3IRthsQbiPYoLPA8UFWjh0zW+nOtbcWZjB4LBMXlBs7OMqv6B6D4cCV4rknhosfQYIufs2CvrKwMFRUVwt+1X79+dq+RFTeUijcXrFHSnS2zxZvGsrIy1NXVISgoqFkZhT2QSCTCPAFNayHTZi4tLUVRUZFwChQREYGYmBi7qNBQkNx5rCXgxMi8vCAT/Z2svw/ixMeZM2fQ0NAgnFC52hHTWbS6iowaNarZY0lJSRg4cCDmz5+PrKwsxMTEOGxwrkCpVApBstlsRm1trRAU19bWwsfHR9AqDA4OtstCzBqX3JWWglCJRAIJXH+D6GyQbDAYUFRUBK1Wi/r6eqFj2c/PT5Bnc1bmTXyTYhbQrJbwzJkzQn2gSqVySVmGq62fxXh7ewv6sCzjWFZWhrNnz6KxsdGi5tuZ42KIy00qKiqgVCqFoLizso7tudylUmmzLDMLQvPy8iCVSi2yzI7OFFk370UMCRJKRViwx2pmxfXqzsDa9czdLLOZ+QkLjDmOE1RgnHlCoFAoEBMTg5iYGKEMJj8/H2VlZTh37hzOnTsHuVwuNACGh4d3aHPj7kGou6hbtEZb5pDneZxftwaNWi2G3H2v8LhcLhdkFwFYlCrl5+cLjphsE+nM76qz6NBdWqlU4vz586irq7P3eFwKq8NavXo1vv76a1y4cAFffvklwsPD0bNnT4SEhDgkk+BJ5RYNxkZsPLMd1ydOhbfcPfRq2xskcxyHiooKFBUVobq6WtgUeXl5CVmQjp4K2BtfX1/ExcUhLi7Ooj6XNWoxnWFHHYNdyfrZXWTHWKDHstis+Y9tLnx8fIQss6PGLA7Uy8rKhECdOWPaI7Nnj/XHy8vLYnPBAtSLFy82yzI7ooRFHCSf3Hke5eoL4Hke4eHhTg/2WkN8ciG2zC4vL7ewzO5s7eaVYHKJWq0WlZWV8Pb2djuTGD8/P/Tv3x/A34F8YWGh0KwMQLhvxMbGtvm74O5BsruPD2hbIJ+/fQs2LlwAhZ8fEuakwlcdYfN54lIlawOjM2fOQKFQICwsDKGhoYiNjXXEx3E6rQbJOTk5qKyshNlsFhr3qqur8fXXX2PIkCHC0YsnU1JSgi1btmDz5s3YsmULSkpKEBsbi7lz5+LVV1/FqFGjHH4TcvdyC7Fzz/rTm/GPNU9gaI+B+OOeLBePrIkrzR/HcWhsbERRURHKy8stGu4CAwOFmld3Op63hXV9rq2yDBY0dyZz6qnWz2JYzXdcXJxwZKjVanH8+HELR7vw8PBOHQuL9Z4rKiqgUCgQHh6Ovn37ul3Jhy2s9avFmaJLly4J+sKdrUcUq5YUG4qEx+vzTBg2bKRHqJa0ZJktVmGxh2W2uAmTnW4FBwcLpxDu3gsktqoH/nYX1Wg0yM/PF04v2L23Z8+eLV5X7h6Euvv4gLaNMWbyNKivGgnNXwdx8N23MfH//nvF17V2xGRJgvLycmg0GsTFxdnrI7gUm3dwtvO46667cOjQIeFLKZPJ4OXlhf79++ODDz5Ajx49nDpYezN16lTs2LEDSUlJuPbaa/Hdd9/hzTffxPTp03Hfffc5bRyeUG4BNH3ZfsppCoxn9p3iyiFZYOsGYDKZUFpaitLSUtTW1gr6u76+vsIxobe3t9svzC0hbtTq27ev0PWv1Wpx9uxZIWvDyjJa+5xd0fpZjPjI0NrR7uTJkwgICBDKMq5Un2vLvY1J2fXp08dpx42Oul9YN7WxzyqWTmNB85U+q1i1o6ysDAaDAaGhoYgfHo3d3iUw6Tg05HMemWyxt2W2WM5Oq9UKmfX4+HinlMA4Ei8vL/Tu3Ru9e/cWSljy8/NRUVGB06dP4/Tp0/Dy8hJ6e0JCQizmyp2DUE8IktuSSZZIJEh+4RVkpc/C8aVfYPgDjyAwtn1Brvg0z51PxtuLzSCZTeivv/4Ko9EIhUIhCNqHhlrKfdnzInn55ZfxyiuvWDyWmJiI06dPA2iqh3niiSfw008/Qa/XY/r06fj0008Fa8b28p///Ad9+/YV3IgA4P3333eqLTXg/plk9vctqdVg24UmG+r5Q1JdOSQLWLlKdXW10HCn1+sBQJAdYw13nhzstYavry9iY2MRGxtrseAy2TQWMLMFt7tZPzNsOdrZqs8Vl7BYN5KJ3duc3e3tzAVZLFvYr18/IWteXl6OCxcuCFlzcaOkdWZdqVQKUnbiRs7wfmdQcqwKFefrYNKbIffybDnRtlpms6NoNles30AsZ9cVNqYtIS5hAZo2UiUlJYIJU3FxsVC+oVarERwc7NZBqCcEya017omJmTQV0RMnoWDnDvz51uuY9skXThid+9PqWaCt4JPneUEGjjn1sF2DPb7UgwYNwpYtW/4eoOi48rHHHsP69euxcuVKBAUF4aGHHkJGRgZ2797dofcaO3Zss8c6qpPcGTyhJhlosqHmeA6jeg5HQlgv1w4KEDSLS0tLYTKZcOjQIUilUvj7+yMmJgY9e/Z0i9pGZyOXyxEREYGIiAiLsoyzZ88iJycHMpkMZrMZ/v7+UKvV3c76WYxSqbRQgRAbvuh0OmGuAgICoFarnd5IZo1CLsWYpCiXNMz6+PgIpzBiabbc3FzB/Y/jOAQGBkKtVrdah60aEIiSY1XgzTwqztVBPSjI6Z/HUbRkmV1WVobTp09Dr9cL1xUrOXB206u7IJPJhPp4nueh0+kEbeYLFy4Izztw4AB69uyJiIgIt/Jn8JQgua1jHPvCq/jl2onI/ekHXPXw4wjtP6DD79lVsBkkX758GVVVVYL2oTj4ZZaxQFNm9+LFi/jxxx9x2223oW/fvp0fkFxus4yjuroaX331FZYvX44pU5qO+pcuXYoBAwZg3759NgPejmAvx7324CmZ5J//f6nFfBdpI7Pa0uLiYlRXVwt/J29vbwQFBQlH6WazGSaTCQ0NDVAoFG5/E3MU4swfy4Cq1Wohi1VVVYWSkhKYTCaYzWa3aAJyFWI5uYqKCkilUou5qq6uRlFREQwGg9D854rFOjTYB9t+utXp7yuG1awzW2Om682y7lVVVTAYDGhsbGxRjk81IED4b+3pmi4VJIsRN9uWlZUBQLO5unz5Murq6rqtDi2D4zjU1tbCaDQK0rOBgYGCytSxY8cAQGhcjI2Ndbk2uieoW7RnjD1GjkbvWSm4sH4t9r3xCq7/9icHj879abHc4p577oFcLsdNN92E5ORkhIeHQyqVCje/ixcvYv/+/di/fz8kEgluueUWuwzo7NmziIqKgre3N5KTk/Hmm28iNjYWhw4dgtFoxLRp04Tn9u/fH7Gxsdi7d6/dgmRXZZLdPUi+XF+IHM1pKKQKzB3oHBtq1nBXUFCAiooKNDY2AoBw84yMjBQCGQYrNdBqtTh8+DCkUqlFqYE7ZSHsjdj6makr2LJ+Zogb2nJycgQ5KTZXXTkLLxbNLysrQ21trVBvGx8f32zxFWcDWc0pM7UIDw/3iGbGjsKa1JjsWE1NjSCFZstEQqwJzTLyrD6XyfGp+v+tcKE5VYNBrvhgDoLJNopdAVUqFYYPH95srsTNTtaW2fayCHZn9Hq9UHIiNkCxpdxhNBqFk8OioiIUFBRAKpUiICAAPXr0QHR0tNM3GF0tkwwAY55/GXVFhRh0250OHJXnYDNIjomJwZ9//onvv/8e7777Lp566imhG5wV3jc2NmLIkCG47777cOONN9plMGPGjMGyZcuQmJiI4uJivPLKK7j66qtx/PhxlJSUQKlUIjg42OJ3IiIiUFJSYpf3B1yTSfaExr3j1bkAgOl9JyHU13GNNiaTSahPq62tFdyCfH190atXL8TExECpVLa4MxaXGlgfn+v1eiGwUalUHl9325r1c1vUFawb2pgxweXLlwU3OxYE2tOYwFWIXehYBrStsmMymUy4bsTKBsXFxTh9+jT8/PwsGiU9fa7YBoplQE0mE0JDQxEVFYWhQ4e2uikQK2IAlu6C586dg5eXF5QKf+H5Ze20p3Y3xAZArJmTaXRfqYxC3OzUHSyzWb02C4xramoETewrySQqFAr06tULvXr1Er6D+fn5KC8vR25uLnJzc6FUKi20mR39PeyKQXLYgIG4YeuuTn0ud5+T9iDh2xCdlZWV4cCBA8jPz4dcLkdkZCRGjx4tNLw56kKpqqpCXFwc3n33Xfj4+ODOO+8UGrIYo0ePxuTJk/HWW2/Z5T0XLVoEuVyON954wy6v1xaOHj2KsLAwREdHO+0928u2bdsQ0T8KUrkMA9SdL6thiBvu2DEtAIubnT3KAFq7OatUKo8JAq2tn/V6vaDFGxYWZrfPodPphEVfnOFxpM6wvRFLabFsMXOLsqfTnNhWvLy8HAAsJObsmd0qr2zE2NSlAIDcHYsgldrvmmUKKexv7u3tbfe/OcvIa0vLsGrCCXBGwL+XAjdsSBKuX09A/DcvKytziJW8rdMOT7TMFicrtFot9Hq9cGLVWQlGhtlsRmlpKYqLi1FTUwOTySQkV1QqFeLi4uDt7W33e3x+fj5KS0sxcuRIu76uPfnrr78QGhqKXr16dej3OxLfcRwHpVLZJU5ur/hNZp3xM2fOtPkzwHG7huDgYPTr1w/nzp3DtddeC4PBgKqqKotscmlpqV2l6KjcwjYSiQTxwbGdbi7hOE5ouGNZF9Z9GxAQgF69eqFnz55215cVN9PEx8fDYDAIN+0LFy4IQaBKpXKr2lxnWz8zvL29hSYtIbCx0hlmi5w7ZbdYvSwLWNn9KzY21mFjFduKixslL126JGTk2yqbdiUC/JQo1tSB54GyygaowzoeVIqDF7H5iSP1eMUZ+Z2JBSg9Xo36AhNKizWCCoTY9MWdFlm2yS4rK0NVVRX8/PygUqmQlJTkkNMDT7bMZrXYbL6kUilUKpXD7lkymczCKVGv16OgoEA4GWOa30FBQYiMjERUVJRdxuApmeSOrGfG+noc/ewjFO7eiZTM9W7/OR3FFSOR1ibG0ZNWV1eH8+fP47bbbsOIESOgUCiwdetWzJ07FwCQm5uLvLw8JCcn2+09lUql050E3b3cQmfSdyqQZ3XC4l0+0NQtzzRZfX19nRqYKpVKoataHASy2lxryTRn4k7Wz0DzUoPa2lpotVrk5+fj5MmTLs3Ii62DWb0s03i2VQPqaKz1q8XycRcuXBCsqVmTVnsXaqVShp49AlBQXItL+dXtDpLFltTl5eVCaUSfPn3slgFtK6r+gSg9Xg3exKNXUD+EjPAVTknEdd9irWFnYmsTERoaioiICAwaNMhhDnst4e6W2daSdmwTcdVVVzm1tloikcDb2xt9+vRBnz59wPM8KisrUVBQgMrKSpw4cQInTpwQZPliY2M7PD5PadzryGczNtTj0AfvwFhXh/NrV6NPakabfo/nebeOZ9qLW9lBPfnkk5gzZw7i4uJQVFSEl156CTKZDAsWLEBQUBDuvvtuPP744wgNDUVgYCAefvhhJCcn261pD2jKCrlC3cJdJeDqDQ0Y9OE16O/XG18PaVt2ieM41NfXo7CwEBUVFdDpdACaamCDgoIQFRWF8PBwt3Ejsw4CWW0us+ll9YUqlcohCyN7T5YlclfrZ8BSZzghIcFmEMgyzI7SpbblCOiuGs9icw5xQ1tubq5QKsPmq63XVnxMMAqKa3EhrxKjh0e1+lxbmwhWcmKrQdGZhIsVLk7VQNU/sJnWcFlZGTQaDXJzc51iLW6t3MEaf93NQdEdLLPF90rmDMiu54EDBzp9E9ESEolE0PsGmpIQxcXFgj5zYWGhIB0aERGB6OjoNt9DunIm2VelxvAH/4kDb/0H+15/Cb1npUDqJte/M3GrT1xQUIAFCxagvLwcKpUKEyZMwL59+6BSqQAA7733HqRSKebOnWthJmJPlEolmYmIWJ+7GZWNVbjEF8Bf0XKAbDQaUVRUBK1Wi7q6OmGH7evri969ewsNd+6OePHp06ePRXbkzJkzQnZEpVJ1KjvSFayfgeZBIMuAnzx5EiaTyS72z2KXPBbosUY5TzJeEDe0iYNAsa0x+3lrmcDE3mH448985JzW4qaU5j8Xm8mUlZUJqiUxMTFuVR6jHvC37JvWqnlPXB7Vq1cvi0bCEydOCKcrbL46GpCJ/w5arRbV1dVCRtaT9MOvZJnNNhidtcwWn7pptVrh1M2TnAEVCoVgvMT+/gUFBSgrK8PZs2dx9uxZKBQKhISEoGfPnggPD29xvjwlSO7oGJMefBQ5X36OqnNncfL7ZRh8xz/sPDr3p02Ne92J119/HUeOHMHSpUud9p6nTp0SrDvdjfQf7sS2C7twc69UvJX6IgIDm6Sb2FFkYWEhqqurhTpuLy8vhISEICYmxmMaS9pKS3V2zJ2ttYWnNevnsLAwjwn02opYNkyr1Vo0zalUqivW5or1ZcvLy4U6aDZfnrKJaCusxIZlMFlgy4JAcWD7XWYO7n92A8YkRWHbT7cKKifietm2BtyupCy3Bp9c9TsAYNC8aMz7pm0nguIgsKyszOLkpS2fl8muscBYrHrTFeX8xBuM8vLydltmi/s3ysvLhdMilUrlVqdc9sBsNkOr1aKoqMhCi59dX3FxcRbzdf78edTX12Po0KGuHHar7N27F/Hx8R3u3Tq65GP88eyT8IuMwq0Hj0NxhbInnufBcRy8vLzcqqego7hVJtkdcEXjnrvWJJfUarDj4h4AwOSIZDQ2NkKj0Qj1eTzPQyaTISAgAL1790ZkZKTbHEc6AoVCIWRrxPWKp0+fhsFgEJrZVCoVlEplt7V+BpoygQEBAcK1Ia6FvXTpkmBpLF5orQMfli22pZna1VAoFBYuiWxDlZeX16z575oxsQCAg8eKceBgDvS6aqF0Q61Wu6RetiOE9PaHVCEBZ+ShPVXb5t8TX1vx8fEWNfziUgM2X97e3oL9OAv05HK50KDoqOZXd8Fa6lEsyXf27Fl4eXlZWGbLZDJh08Wy6wEBAVCpVC53nHQ0MpnMIiNvMBhQUFAAjUaD/Px85OXlQSaTCU6JZrPZ7eeis9nuwXfegyOffoja/Dwc+9+nGPHok1f8HXefk/bQdSOaDuIqxz13rEn++VgWOJ7D4JBEhMtDcOLECQBNu+qYmBhER0fDx8enSwcvLSGVSoU6t379+qGurg4ajQaXLl3CyZMnBYtesn5uwsvLy6JRsrKyEhqNBsePH4fRaBQ2ip5YcmJvrOtN2QajtLRUsOod0NsPsVG+aNAZMNBDAz2ZQoqwPgHQnqpB+dlacCYOUnn77yXWGwx2glFQUIBTp04J30VfX19ERES4vBbblbTFMpt9F5kSxNChQ7v0hr4lJBIJvLy8kJCQgISEBEG5hplbnTp1CgCE6ysmJgYhISFud111tHGPIfPywpjnXsSWRf/AkU8+wPBFD0PWhuvB3eaho1CQbEV3loDjOA51dXVCF3B4VSBuiJ6F+MAYBAUFQSaTWdiGNjQ0dNtAhmHL+jkiIsLC+rm4uJisn2EpZ2ddFiCRSFBXV4eKigoYjUbo9XqoVKpuG8wAljrPrDEqMDAQfn5++PotNWpqaqDTVSIvr0njmJm+eBKqAYHQnqqB2cCh4kI9wvsFXPmXWoDjOCHg02q1wumOt7c3jEYjqqqqkJ+fj/r6+i5bttMexO6kzDJbrVYLltmVlZWCJXt3t8wGmkqi6uvrYTQaYTQa4ePjAx8fH5hMJmg0GhQXF0MikcDPzw8RERGIjY2FUql0+f2ro417YvrdsABlJ45j8B3/aFOA3JWgINkKVzTuSaVSp2evGQaDQWi4q6+vFxru/Pz8cPWQZNzUc55FPSQTuGcd53q9Xjg2d6emIEfRXutns9ksLETHjh0Dz/NCSYazJbdcgbVzG2u4aklGS3wsfvnyZeFYvC11312BloxJevXqZdNxjRmAaLVanD171ikKEPZENeBve2rt6Zp2B8nWknZyuRwqlQr9+/dvdr2IG0CZbFpX7guwBTMJYjbQZJndOg0NDdBoNELZCZO77Nevn8WGlOd5NDY2Ij8/H2VlZTh//jzOnz8PuVyO4OBg9OzZE2q12iX3L3s0F0plMkx47f/sNCLPghr3rFi6dCm++OILbNq0yWnveeHCBej1egwYMMDh72UymVBZWYni4mJUV1cLGwJvb2+EhIQgNjYW/v7+bVosxEebGo0GdXV1CA4OhlqtdphcmrNpzfqZZVfaGuiKjSa0Wi0aGhosbLK7QlZLrBYgNj8RN1W1daFgizTLdHXFBiuxE6R1LTZTUGnpu8jzPP48UoSqGj2mX9PbppW0PdRFHMmJzAL8cts+AMDklwZh4lOt3wPF9xxrSbu2NISKaUlKkAXN7jhf7UWsa86Uh4KDgy3s5tuK2DK7oqJC6LFg89UVEiRiWTuNRiPco9VqdbvuOayMhTnJsnWW3QvZOuuMTcaOHTswbNgwhISE2O0160tL4BdhuxGQ6SR7eXl1iU0nBclWLF++HO+99x62bdvmtPe8ePEiGhsbMXDgQLu/NsdxaGxsRGFhIcrLy9HY2AgAQvNBVFQU1Gq1XTKa1mLy/v7+UKlUUKvVHtXsIbZ+LisrE7rB2YJwpW7wtiJujqmqqhLmy9PKDMR1jeL5YsGZPUwgWpLqYou9J2W1bM1XR4L/X347hYWPrUOv6CAc3XQP5KJ6XmvZPNZ8JQ6+3WG+NCer8dmozQCAITfGIGPpmGbPsZ4vo9Fo9+C/NVOa8PBwp5vSdAZWdsLuLSaTycIcyR7BbFexzAb+3oyzjLHZbLY4HbXH2mg0GlFQUIDS0lKLE9uAgABERkaiZ8+eDitl2b59O5KSkiycijuK2WjEtofvw9nMlViw+xBC+vZr9hwKkrs4K1euxH/+8x/88ccfTnvPS5cuob6+HoMGDbLL65lMJpSUlKC0tBR1dXVCBy6r/2S1Uo68gNmxMcv4KBQKIWB2t7pcW7WyzPrZWfa4YhODsrIy4diYlRm423yxY36WXXe2nXBLpg8sEHC3sgxWu15WVoaKigp4eXl1er4aGo0YMHkJyiobsfS/s3Hj7JY32ayMhWUCJRKJ8P6u1Lc1Gzi8oVoNzsQjYkgQ7t93LYCmMgr2XRDLjjnSpEYMmy92T3D3rKm1ege73zpLpk1smc3s4N3VMhtoWiPF6xMzlFKr1Q6fL7aBzc/PtzDbUiqVCA0NRXR0NMLCwuy2Kdu6dStGjhyJoKCgKz+5Dfx6UwYubfoNfdLmYsbSH5r9nILkLs7q1avx73//G/v27XPae+bl5aGmpgaDBw/u0O8zDd7CwkJUVlYKjYdKpRLBwcGIjo52aX2itQA9z/MWO3VXBDQtWT+7ygJXjLjMQKvVCpkzV9Z9s78hCxqY5BibL1c2jInl+JjubUec7Ow9JnHTXUNDA4KDg4XA1F723f/3yR689uEuDOgbjv1Zd0Amu/J33FljayufjNiEstO1kHlJMX/fUFRUlguZSVfZnYsRN1CKs6ZsvlyVlWdlOtYnK64+uRNn5ZmDqKsts4Hm9dj2MobqLGazWXD/q6mpsUhqqdVqxMbGwtvbu8Pj27JlC8aMGYOAgI43xYopO3EcP109CuB53LBtNyKSRlj8nILkLs769evx6KOP4q+//nLae+bn56OysrJdguR6vR6FhYUoKytDfX290MEaEBAAtVqNqKgot8t2AJZ1uRqNBjqdTqj5YvrCjnpfZv0sdm1jmQ53bXJiWW52FFhXV4egoCCL4MFRWGeLlUqlEBi4cxOduMa3qqpKWAwdfWzeUraWnQY4IltbWa3D4Gmfo6pGjy/emoWb09p/GmWd5RZnbR15KsA2Xll3/YXCbU06ydNWxCE+qadbNwGzrKn135ndSxx5D/PEngaxZXZZWZlTLLMBy3p/rVaLmpoa4d6pVqtdmghpCZ7nodPphAbAhoYG8DwPuVyOoKAgREVFoUePHu36Tm7evBnJycnw9/e32zg3338Xcn9ejphJU5C6+rdmn4Hn+U4F9u4EBclWbN68Gffeey+OHj3qtD9wQUEBysvLMWzYsBafw+R6SkpKLJyAvL29BYMKPz8/twz0WqO+vl4IAO19E2NH8mwxYzq8niz/1FJ3ukql6nQAaEu5wzpb7Gk3PbFaBHNJFJcZdKbe0JZdtivqpP/7v/148b/ZiO0ZiCMb/wEvZcc/U0v10izY7+x3hjV/sevXy8sLJb9wOPGFBgBw04pxSJwV1an3cCbirDxLWIizzJ3tLWD9Eew7D8CirMjT1HHEbonl5eVCaZs9LLPZ6zP1Ja1W67QkjKPgeR4VFRUoKChAVVWVcErM1v24uLgrXmObNm3C1VdfbddNQU3eJXw/cgg4oxGpq9cjZtJUizFTkNyFyc7Oxs0334xTp0457Q9cVFQEjUaD4cOHC49xHIeGhgah4Y7VLcnlcgQGBgqe8p52k2wNVoeo0WiEAJDd3NoScHQ362dbOqfiOua2XBu2sogdUe7wBFhAw+aLZeJY0NGWjJY7Kkg0NBox9LovUKypwwuPTMAzD46zy+u2przBsvJX+j6J1QLKysosTkJYaceJXwqw6o79AICprwzGhCf722X8roC5bLJ7kEwms6hlbstpgvVGwtvb22Ij3NXuYZ2xzAZaLudTq9Vu2Z/QGYxGIwoLC6HRaFBbWys0APr7+6NHjx6IiYmxuMZ4nsemTZtwzTXX2D1jv/OZJ3Ds80+gThqBG7buEv5OFCR3cfbs2YP09HScPXvWaX/g4uJiFBcXY8iQIRYNd8wphx0XR0dHe2T2syO0tbGiJetn9q8ryDi1BZ7nLepyWQbFWjGB1TuzRcnV9aiuhKmLsHKSlrLyYi1ia0k7dynTWbn+FJ5/ewfefWEaZk/r65D3MBqNQgDINmW2mtnE2uBlZWXgOE6oqbdVjlCaU4UlY7cAAIYuiEX6l6MdMn5nw2rl2ZzV19db2IuzumGxrJ1Wq0Vtba3TSqrcCbFlNpOPZCVezDKbbdrZCZFGoxEaFVlCxd0awx0Fu27y8/MtEmkKhQIhISGIiYlBcHAwtm7dikmTJtk9dmjQavDdVQMhU3ph3uadCO6dIIyLguQuzIEDB3Ddddfh8uXLDv8Ds5vo+fPnUVtbKzwu7nLtapmDjiCW6NFoNDCZTPD29gbHcdDr9c2kh7rCF7OziGvxqqqq4O3tDalUCp1OB4VCYVFD2ZWyxR1FHACybBRzajMajRaSdu4YtPA8j4ZGI/x8nXOcbKuZjV1jjY2NFtnPKwUtJp0Zb6hWg+eAyKQQ3LtraovP9WRYhlicZVYqlTAYDM1kxzytLMARsPIv8YaeZUN1Op3bNCq6C2azWXD+E5dkAkBMTAzi4+Ph4+Nj13kq2LkdqmFXwUuknMFxHAB0mSCZVkcrlEqlw9zvOI6DwWAQGu5YUb5UKoVCoYDRaIRSqUSPHj0EqbSucJF1Fr1ej4aGBuj1epjNZshkMkilUpjNZqGpQalUwsvLi+YLEDYPBoNBELGXSqUWcyOVSiGXy7v9BozBcRzMZrNwTbH5sraMd9frSyKRWATIHMdDKnXOWNn8iOfMej5bQ+4tQ0hvf1Scq0NZbg14jofESWN3JjKZTLh3setIIpFAKpUKmzGDwQC9Xg+FQuG215qzkEql8PLygkKhgEwmE64tNi8GgwE6nQ4NDQ3w9vbu1pbZQNP1pVarhXiC1bBLpVIUFBQgPz/fwh8hKiqq06Uo0RMn22Pobg1lkq04deoUhg8fDq1Wa5eblMlkglarRUlJiSDvAgC+vr5Cw52Pj48Q9FVUVAhNBxKJRNgpu5tWriNpzfpZfEwJNLcNZeoerpaNcjZiNyyWpRIrUbAFhM0tyzKbzWYLebnustCIZarER9y2Gq6syy2Y3rg71ohyHI/vMnPwyTeH8PsPCxAcaL8jVlYDL862i5vI2LVjyynxSuYyP83fg9xfiwAAj5yYiZBe7pet7wjWhkEtyY5Z9waw056u2BvQGrbkHNk1plKpml1j7H4nbpjsLpbZDKPRKPTylJeXw9vbG2q1Gmq1WpgHnudRWVmJwsJCVFRUCA2AXl5eCAsLQ2xsbKcav3mex8UNvyJm0lTI/n9ZR1fJJFOQbMW5c+fQr18/VFVVdegPzHEc6uvrhYtRXCfEJFzacsTNbhasxIAdxzF7zK7UjGAv62eDwSDcXNnNgm0yPMkxqy3Yo6u+NctalUrllhJJnYFpY7Prg9XKsjlryxG3daAIwKLe1tWbDL3BhNFzluLcpUosSB2EL9+e1anXs3bRbO8GwZbxDHsNZlMulUqx9aUc7HonFwCwYNV49JsR2alxuwpxo6JWq0V9fb2g2d3W5lCz2YyqqiphzpjKDLtWu9rmn9WwazQawbiFrXVtlZrsDpbZYpjKkUajEdxtWWDcluvDaDSiuLgYpaWlqK2tFbSZ/f39ERERgZiYmHb182y861acW/0Lkl96HUmPPA6JRNJl+qcoSLYiLy8PcXFxqKioaPPu3WAwoKioSLgpso5TljWIiYnp1JeU3XhZwKzT6RAWFiZkTF29MHcER1s/27rxipUfPHGTodfrLbJN9nZNsxUQ2UtezhWIrayZZrKtAK0zry825aivrxc2Ga6sXd73VyGuvWU5OI7Ht++lYO71bVeLsKXFy7LA9tg4iTcZ4qa+yt08djx5FgAw7fUhGP9YYqfex5lYqytwHGczw95RPFWvvDWsExpeXl5CkNfZe01XsswWw05NNRqNIJfK5qwzyhVsI8u0mRsbGwE0JfaYGdmVEnOnf/oeWxb9A15BwbjlrxPwCQmlILmrUlJSgsjISBQXF7e4yHEch4qKChQVFaG6ulqo+/Ty8hIa7hz5RWSd0EwFIyQkRAiY3fXCdKX1s/gIT6PRCA52LCvvrpsMsaQdu9kHBQU5pUmRNbKxI3N3t31miJt9xEf9znDfY0fmTLqLqWC4ouP+1ff/wFuf7UVIkDf+XHcnoiJadtsSZ9iZaoUzLKvFJS8X9hZhz32lAIDeqaFIXTKy0xrDjoRtWMVBXlsbFTuD9fWt0+malbK465yx0hONRuPU0jhbltmeoJcvNpLSaDSor68XTq3UarXDsuNmsxllZWXN4huWYIiNjW329+LMZvx09WhUnDqBpEeewLiXX3fbeW0vFCRbUVFRgbCwMOTl5SE4OBhAU7DS2NiIoqIilJeXo7GxETzPQyaTISAgAJGRkejRo4dL6sZY9k+j0aCqqkqwcmXHLq7E2vrZZDI108B0NrYc7Np7HOpIbLm2ufrY0FadIBPod5U2sBhrXVl3yLSJTSCsZdCcsTEzGs2YctMP+Ot4CSaPi8Par260aORrq/ydszA2mPCGeg3AAyEDvTD4LT+LunpXq7DYcm9ztW22rTI1Ly8vC8k0V25mWTkXu9fW19e73CHQ2jJb7Lxqj9Mle4yPlVlqtVoYDAaLMktXfAeYu69Go0FdXV2z2CcqKgoKhQIXN6zH+pvnQubtjVsPHkf4/5eE83QoSLaCHc2cPHkSv/76K0pKSjB58mShZodlh6Kjo4WGO3eBHWGxAn5mxqFWq52SlWnN+tkdbkC2sC4xcLasEDveFs+ZuAHF3coc3CFYEJcEtKY/6y60xVDDEeM9c6Ec49K/QaPOhDefnoTb0vtaGKmIM+zuUH/+4eANqLxYD6W/HE8VzbH4G4vdH51VymJrcyje6Lh6c2iNLbfEKzVM2htx0yaT6xQbe7jbqR07MXO2ZbYYdjLNAmOe5y0a9t3p1I7dewsKClBRUQG9Xg+g6RQ959gxBK9ajpqcoxi08G7M+OxLF4/WPlCQLOLYsWN4//33sXTpUuGxgQMH4osvvkB0dLRHKUwwMw5Wk8vE1u0tLdeVrJ+dJVBva87E2WJ3W3xbw1nHzmJ76fLycgB/G1m4c8mMLVjTDastZ3Nmb3MSo9GID7/agxff248Fs6Jwa0q08D6uzsza4sd5u3FmQzEA4NHc6xEU/XdQJ67LFbvQOWLOrMuMPLGXQWzMwbLM9rR/FsPqzNlaw4yf2Jx5yprpaMtsMbbmTLw+e8qcmc1mFBcXo6ioCI8++ihqjx/DA0oeJX4BmPT1D5g0ZYrLT7Q7S7cOkuvq6vDZZ5/hl19+wbFjx6DT6eDr6wuZTAYvLy9UVVVh8uTJSE1NxaxZs6BSqdwqQ9VWrKXlAAhfyPbexGzVyXZF62d7Wp1aH/GxejwW4HlqI4k19mxgEi9YYktkFhi5W4a9o9ias/YqbogR20izRkVNlRyTxvVz+znb/O9j2PPeGQDALWsmoM+1PWw+z5Y1ONuYi90l24r1aVJLMm2ejC37Z/GctTdjqtfrhWxxRUWFUK4jlh3zdFqyzO5oczkrpWNJGB8fH4+fM57nkZubi6ysLKxduxbHjx/HmJ5RkMf1Ql5+PgoLCzFhwgRMnz4dM2bMwNChQ1095HbjMUHyJ598gsWLF6OkpATDhg3DRx99hNGjO2dfeuTIEYwYMQK9e/fGzJkz8eCDDyIxsamrmud5nDlzBpmZmVi9ejUOHz6M5ORkpKamYs6cOejZs6dHXtS2mtjYF7Wl7BKzfharKri6TtaZsCMm1kAhPnZVqVQ2P7+1ha84w+6OR7X2piNSWOKAkS1K4oDRk04lOoItSb4rlbKIv8+sLEFsR249zwaDGXK51GlGI+3hyPeXkHXfQQDAdf83FMkP97vi74gtnVm5kr+/v3DN2NoYtHZtukvpiSNpSfVF3ERta9NeX18vJFqYukJ3sc4WSxleyTJbjLVUm7hZ0d/f3wWfpPNwHIecnBysWbMGa9euxcWLFzFt2jRkZGQgJSUFYWFhgjbzuXPnsGnTJmzatAkVFRXYvXu3q4ffbjwiSP75559x++23Y8mSJRgzZgzef/99rFy5Erm5uVCr1Z16bSbX1ho8z+Py5ctYvXo1Vq9ejT179mDEiBFISUlBamoq4uPjPTJgFjdWaDQaYYFlGSxWK9udhdqtEdfkajQaQXGCyWOx7CerxxYv1l0hW9xRrA05WLYuMDBQaLwTNx45WvHEE7C2MVYqlVCpVAgJCRE60MvLyy2UR1rTFL9cUI3bHs3CnGl98a/7k538aa5M4aEKfDlxGwAg6Y54pHwyot2vwUqZ2EaLySSyEzOWGeyuJjq2EMvysQZrVperVCoF+VGdTmfReNfVN/qtYW2ZzQyv2CaLbShqa2sRHBwsBMaubgzvKGazGQcOHEBWVhbWrVsHjUaDGTNmICMjA7NmzUKQyJa6JXie98i4wSOC5DFjxmDUqFH4+OOPATQFtjExMXj44YfxzDPPOHUsPM+jpKQEa9asQWZmJrKzszFgwAAhYB4wYIBHXghMvaO0tBT19fUAIBh6xMXFISCgZQmp7orRaERJSQmKi4tRU1MjdP2GhIQI2pKeeC04Eo7jUF5ejoKCAlRWVgoNsQEBAYiKikJkZKTb1cq6GraZzcvLEzLsQJMkU3uE/7/LzMH9z26AVCrBr0tvxDVj4xw99HahrzXi/3pkAQBixobhrq2ds7zV6XTIz8+HRqNBQ0MDAAgbjejoaLeWmHMVZrMZhYWFKC4uRm1tLXieh1wuF/Ryw8LCuvVm3xY8z0Or1aKgoABVVVUwm82QSqWC/bNarfbITZjJZMLu3buFwLihoQGzZs1CRkYGpk+f3uVPDxhuHyQbDAb4+vril19+QVpamvD4woULUVVVhaysLJeNjVk9ZmVlYfXq1di8eTNiY2ORkpKCtLQ0DBs2zG1vKC3thNmRm1wut5CWY8dE7iAt5yps1cmKzSn8/PxQWVkpNGPI5XIhg2DP5iJPw1rWjmU+WbZYXGLAJI9Yhq+rl/K0BFMJYNl3JrvH6ruZ3T2z1GYnPewY11bwx/M87n9uA77PPA51uB/2rF6ISLV7Hfm+3/83VOc3wDtYgacKUtodxIqVV1jtP8t8ymQyi7Ixd5AKdAdYUywrWVEoFBYyomL3P5aBZ+tEVy+BagmxVBsrWxS7BIobAD3pJFav12PHjh1Ys2YNfvvtN0gkEqSmpiI9PR1Tp07tlqcHbh8kFxUVoWfPntizZw+Sk/8+InzqqaeQnZ2N/fv3u3B0ltTU1OC3335DZmYmNmzYgPDwcMyePRupqakYM2aMyzUrO1JTBfwd5JSWlgomCc6UlnMl7CiSLa7MiITNW0vHZ0zWhy3YYltxd1QWsCcs88kW1pqammaNii0Fcay+lAV/4rpHdzZKsAfse8ZKBeRyuUUZRUv3D7ETI1NlYb9nXbLS0GjEpBu/x4kzWlw9Oga/Lp0Pudx9Nm8/pP2Bc5ubTEUePzcLAZGtH08zdzV2zYhLAloL4mzJpXWmkc3TsK6V9fPzEzb0Ld3TbX2vu1NJGTsFY/MGwKKfp6XP7u49PQ0NDdi8eTOysrKwceNGBAQEIDU1FfPmzcOECRO69FrVFihIdhANDQ34/fffkZmZiV9//RXe3t5CwDxhwgSnHL84wvpZLF2j1Wotsg4hISEeH8R0tKnlSq/JGoXY0S8z4+gqtX3W5hks49SZRkVrkxAm+8UMLzx9QbalOc02E60FK60hPiFimXlrbd+zFyswIeMb1DUY8chdo/Dm050ra7Anm545in0fNdlT37buavSeEtHsOeweJHYIZNdFR9wgxd95loHuasGfeAPKTCE6WyvbHZqT7S2lassy29lKR2w92rhxI7KysrB582ZERkYiLS0Nc+fOxZgxYzz+ercnbh8ku3O5RVsxGAzYvn07MjMzkZWVBaPRiFmzZiE1NRWTJ0+225GVs62fxSLo1jtrTzq+tLc80pWwPhJ2J5fE9iDeTIh1WB1hzWs2m4XAiMkYiuXlPCXbwb4z1kGsIxQ8xOVB1kH4/pxa3PP07wCA7z9IRfqMRLu9b2f465uLWPfAIQDAjMXDMOaBvgD+znyyDZMjHQJtBX9so+EOmb+2Yu3eptfrHVbK1JVkLsWmXI4+OXWWZTbP8ygvL8f69euxdu1abN++HX369EF6ejoyMjLcujTU1bh9kAw0Ne6NHj0aH330EYCmhSY2NhYPPfSQ0xv3OovJZMKuXbuQmZmJNWvWoLq6GtOnT0dqaiquvfbadsvCtOYY5Ezr59ZqtFxlp9kS4tITcYDnqM1Ea7CjcnZD9vb2FrI77qZrK66TFcuNOdPRC7B03NNqtUJm3pV2t61hXQ4hl8uFQMWZm0nrco5v1hQi52w9vnzrOgwbFOcWm9r8/eX4esp2AMDQ26Mx9EmVIIfnCskxdq2xvx+T5btS/bersLWZdEXiojXDJHfsNdDpdMLa5aoeHHs71jKRgbVr1yIrKwu7d+/GsGHDkJGRgYyMDCQmJrrVteuueESQ/PPPP2PhwoX4/PPPMXr0aLz//vtYsWIFTp8+jYiI5sdxngLHcThw4ABWrVqFNWvWoKCgANOmTUNKSgquv/76VjU+3dn62VparqGhAWFhYULw54obpDtYtl4J8TGyVqt1C7cvWwGeuNnJHTY/4qPyqqoqwVq8oyULncWWdq+7BVYcx0GrLUdxiQZ1tZUWjYGuasjiOA4llzT4YsguAEDgIDmmfBHvVk2cYlm+iooKi+9DR0o97IG1SYWXl5eFU6irrzXxRqO8vNzi+8AMqFwxRibTxqTamFa2Wq12i412RyyzeZ7HpUuXsHbtWqxduxYHDhzA2LFjhYxxr169XH49eBoeESQDwMcffyyYiQwfPhwffvghxowZ4+ph2Q0m0M0C5tzcXFxzzTVITU3FyJEjsWvXLmzevBk9e/ZERkaGR1k/i3WFa2pqnKYbaW3LyjR4WaOiO2TOWoKZRLCjUpaZd7Suq7h+2jpzFh4e7vaNmraa35xhkctqgdm8iRs83b0+k9XkbtuVi4gQM2pra4SNRmuNlvbAWllBLpdj38IKNGpM8AlR4l/5c9z2erOlQOKsjXdjY6Nwb2CZT3HJlrvOGfB3iQELmp3VyGbdG8JOwiIiItxmE9YStiyz3333XURGRmLGjBlISEjA5s2bsXbtWpw4cQITJ05Eeno60tPTERkZ6dbXg7vjMUFyd8JoNGLlypX44osv8Oeff6KhoQE+Pj5ISkrCokWLkJqa6tYBXmtYd1X7+/sLx1qddSASNy2VlZVBp9M1W7Q88WYhdmLTaDSCQxjbaHR2k9RSDaa7Ho22FWuFEZPJZNHE1tnPxax5rc0+xOYVnsLiz/fhlfd24qVHr8Y/7xphYcjBTjTslS1taGgQ/ia2Mv/fp/yBC9uaehyevDgbfmr3TgIwrGv0xfKQnT3hc/Q9wFVwHCfUMrNGtqCgIOH+09kNmnWywWQydQmVIYPBgHfffRcrV67E2bNnYTaboVKpMGXKFDz66KMYPXq0R91/3BkKkt2I8+fP45lnnsHmzZuhUCgwffp0TJ8+Hf3798euXbss3P5SU1ORkpLisW5/QPNjQlaP2x4ve+vaYrH2aUhIiMfeBFujsbHRQsOabTTaepTfkoIHC4S6Qje/NbYsn4ODgy3k5drzGmxBv5JttKewbOVRPPjvTZBIgNVf3IBrr44HYGl7Lc6WtmR7bYv21pBv/NcR7P/0HABg4YaJ6DWxc66qrkDsYldWVgaO4yx0rttyssAy1WzenHWa5ErE5V1MLk1cztKWz8xK61hgLJFILOqyPfXeZjabcfDgQaxZs8bC9S49PR19+/bFnj17sHHjRuzYsQORkZGYOXMmPv74Y4/9vO4CBcluhFarxZIlSzBjxgxcddVVzTI2XdXtD4Bgs8ukdmQymYXUDvuim81mC3H7xsZGC1k7Tw5UOoK4vKCsrAxeXl7CgiCuR7QlDdaddGGtaataAltw2fzaOxvtTjz0wkYsXXEMocHe2LVqIeKim1vNstIptrli9uLMYlw8b2KZNp7n26xGcujrC/j14b8AANe/l4RR9yY45gM7CVubq5Z0w1vqS/D0AK8jMLk0dq8Xm3JYl37ZW6rNXeiI611DQwOys7Nx7NgxPP300y4YddeCgmQPxZPd/q6EWFpOq9WC4zj4+fkJdVnMLMGdmsfcAesMCs/zFvNGDmO2sdbdtZ43Vsve1Z0T9QYTrr15OQ7llGDYQDW2/ngLfLxbztyxemL2TyKRwNfXFxzHob6+3qKBrD2nE3l7yrD02h0AgFH3JeD6d5Ps8fHcBmsHSut58/HxcZi8nSfDmiZZM5tUKhXmra6uTtiwebrJFXO9y8rKwvr16yGRSJCSkoKMjIxu63rnSii68FAkEglCQ0Nx55134s4770RNTQ3Wr1+P1atXY8aMGW7l9tcRJBIJ5HI5FAoFGhoaoNPpYDabAQBBQUEICQmhANkKNmdKpRJeXl6oq6sT5o3nefj7+yMoKAhBQUEedz04EplMBm9vb/j4+MDb2xu1tbUW8+br6wt/f3/4+fl12QAZALyUciz/KA3j07/B0ZMaPPrKZix5Y2aLwYZcLoe/vz8aGxvR0NCAmpoa6HQ6cBwHjuOE+fT29m7XvIUnBgj/rT1V0+nP5W4olUoEBQXBYDBAp9OhurraYt68vLygVCq7ZDlFZ/D29kZYWBg4joPBYEBVVRUaGxvB8zx4nodcLodMJvPI4Lgl17sVK1bg6quvpnXOhVAmuQviDm5/7cVaWkkmk1lkPRUKhZDZY7I99fX1gnOdWq3uUkffbcVajxRAsxo+VoPMMsy1tbVCPa5are52pRZA83IAjuOaGUYwPW2x8QtTEXAXKTdHsGPvZcy5awU4jsfG727C1aNjhZ9Z18kaDAabBhVs3livAHOwa2t29J34dajX6OGn9sKTF+c49PM6A6aswL6DTBaTXUssO2jdY9FdTjFaQnzvYk6BthoWGxsbLe6D7LSR+QW4W5BJrneeAwXJXRzm9rdq1SpkZWXBbDZj1qxZSElJsavbX3thDUHsxlZfX4+goCAhwGtLANLQ0CDcPGtqahAUFCQEzF018LPloubv729hoXulebNWGPHz8xMWHU8+prwSjY2NwryxAIQFKW1RH7Cu/2ZqFl0xgPl42UEE+CuxcN5QC5k2sdpFW/W7rdVTgCu7JX4zMxuXdjaZYfwrbw58wzzviFmsrqLRaMBxXLuUFWzVw4v7CDxV0eJKiDcUGo0GOp3OQmf/SkkesTRfeXk5GhoaEBwcLMybq/pWWnK9Y4GxJ5dIdmW6bJD8ySefCLrKw4YNw0cffYTRo0e7elgupTW3v+uuu87hzkI6nU5YLCsqKiCVSi30MTuT4W5NWs7Tm/kcuVha69QqFIouE/iJTQy0Wi3q6+uFxbKzrm3ivwmrmxc39LnjaU17YAoqbEPRUoNee7GldCFWy2AqI789fhgHPj8PALjj92sQN15lt8/mSGzpPrPgrjPfJ3tsjt0ZsVSbRqOB2Wy2cGztTHkY2xyzdUepVArrjqNL9sSud2vXrsWuXbswbNgwwdyjf//+Hv13syfuGrN1ySD5559/xu23344lS5ZgzJgxeP/997Fy5Urk5uZCrfY8OSFH0JLbX2pqKmbOnGmXm651dzKzlnW0MYXRaBQW4bKysg5Jy7kaVxy72mqYZIGROx5Z2sKW9Ba73hwVvIpNClgwzgI/Rxvm2IvWPoNU7o/Pl+fgxX9OgEJh31p2dp2zYJxpCxf/pseO53MBALM+vAoj7+5t1/e1J9ZKKc5oIBOXWbGmyfZKpbkaV0i1iVV+ysvLBXUke2rp8zyPy5cvIysri1zv2og7x2xdMkgeM2YMRo0ahY8//hhA0+IfExODhx9+GM8884yLR+d+2HL7mzRpElJSUjB79myEh4e3+Utty01JXBvm7LphVnvKbsRMWs7dMqUsk8IWPZZhc5URinUNJXOnsq6hdAdY1pNlilig1V5VBXuPx95ZWHtjKxsuLoNQKBTgOB5jU5fhxBktHrpjJN56dorDxiNWGTm3rQhHn21q2hu8MBIpH4x2m8DPVo0/K/Vqq+a2PbEllcaSEe6m380y7UwbX6lUCgkMV2TDW9PZb48CEM/zyM3Nxdq1a5GVlYXjx49j4sSJyMjIINe7NuDOMVuXC5INBgN8fX3xyy+/IC0tTXh84cKFqKqqQlZWlusG5wHwPI8zZ84IAfPhw4cxbtw4pKSkICUlBVFRURZfdpPJhJqaGlRUVFgYLNjSAHU1rFaNHemxTCmrEXS24oO1FJRUKrXIBrlT5tbaWjwwMFAIChxdpmNNS0f2LChwdpDSGqwelwXx7a3ntTfMrIHVF7elLnvt5jNY8NAaAMCyd+fghlkDHD7OutJG/Lf3egBA6FVeGPCSj9BsyupKnQnP84KpikajgV6vF+pk3U0v21Z5gSulH5kzpUajETLtYpdVd1kf2KaRJXnENuNMFUgMSy4xc48LFy5g2rRpSE9PR2pqKsLCwtzms7kz7h6zdbkguaioCD179sSePXuQnJwsPP7UU08hOzsb+/fvd+HoPAt2bLR69WoLt7+pU6eC53kcOnQI+/btw8svv4zx48cLdV7utGC0BAu0WMCs1+stauAcdSzfVlMBd4YteizQYkYcjixnMRqNFnXZQHMVD3fHlnuduI7ZEdl5lvVk78k2OO11CXzxv9n47//2w9dHgR0rbsWgfo6tEeZ5Hovj1qGx3ICASG8sypkqBPcVFRWClrA9LJ9bwrocAIBF+ZEnyCi6ykSosbFRuLdWV1cLm2q1Wu1Wm9iWYMo2bLOxZMkSbN++HRMnTkRiYiLKysqwYcMGC9e72bNnNwukiSvj7jEbBcnEFWH1yytWrMCqVatw+fJlAEBYWBimT5+ORx55BIMHD/aIAM8WrUnLdba0wB72tO4M+3zM6cqeDmHWMmItueJ5IvYKXm1hKxjvbKmM2cwh9R8rsX3PZSTEBWPnL7cjONCx6grLpu/A5V1NG6KnC1PgHdy0+TaZTBYbJns2TbbmYOnpdu2OtKNvTapNrVZ79H3OZDJh8+bN+OSTT7Bv3z7odDpIpVIMGzYMN998M9LT09G7t/vWzLs77h6zdbkg2d1T957Ghx9+iNdeew0mkwnXXXcdrr/+ekyfPh0KhQJr164V3P7i4uIwZ84cj3f7A/6WlmPauEFBQcJC2ZYsiHghEjcjOTLr5Q6INXQ1Gg1MJpOFhm5bpJtYGYW4Ltta+aAr0pEyCDG27IzF9cX2yHqWVTRgwtxvkV9Ug+snJ+DnTzMglTpuo/LrP//CoS8vAADu2jYZMWPCmj1H3HAobg5mc9eWWn5WQ67RaFBVVSUo43RlLWyguTQfz/PCaWBbTgRtSbWxa64tUm3uTGuud5MnT8bFixexYcMG/Pbbb/jjjz8QHx+Pr7/+GuPHj3f10D0Od4/ZulyQDDQVgY8ePRofffQRgKbFNzY2Fg899JDLi8A9jQMHDkCv12Ps2LEt1siK3f42bNgguP2lpaVh9OjRHnEs2RJtqacT63JqtVrodDqLI82uHNy1BCstYZsNlp1nCyiTrRPX7DIzFBYUu1tdtrOwZXQi3mywORHrPrOGRUdn2g8fL8HUBT8gKiIAm5ffjEi1v93fg7H/s3PY+OQRAMCcT0fgqoXxV/wdpjTB6nHZZiM8PFxo1BWfHGm1WiHr6UlqJPbG1maD9ZaINwvivg6tVguz2ezSvg570pLr3dy5c1t1vautrcXWrVsxduxY9OjRw8mj7hq4c8zWJYPkn3/+GQsXLsTnn3+O0aNH4/3338eKFStw+vRpREREuHp4XZqGhgZs2rQJq1ev9hi3v7Yi7szWarWQy+WQy+XQ6/WCwxML7jx5sXAErHSCZeu8vLwgkUig1+sF9YeuoPdqb8RNihqNBg0NDfDx8RGseVkzmzMbFrfsuogRQyIREuTYcosL20vx3ew/AABjH+6L6f83rF2/L1bvYNq7Xl5eMJlMzXR4Pfm+5AjEmvasjEqhUMBgMAgKQWq12q0UgtpLa653GRkZGDt2rMd+Nk/DnWO2LpmmmT9/PrRaLV588UWUlJRg+PDh2Lhxo8snuzvg6+uL9PR0pKenW7j93XXXXW7j9tcRWM1dfX09GhsbAQAKhQIymQwGgwEcx0EikUAmk1GQZwXHcdDpdNDpdDAYDJBIJEJQotfrYTabwXEcuuB+vdPwPA+TySQEdjKZDDKZDFKpFHq9XviZyWQCz/NOufamTbDM6DrqfVX9A4X/Ljtd06HX4DgOHMcBAGQymZANNBqNMBgM0Ol00Ov1kMvl9L0Vwa4x8f+Xy+XgOA56vR4NDQ2or6+Hj4+PR52UMde73377DVlZWdi+fTsSEhKQnp6Ol156yeNLBT0Vd47ZumQmmXA/mNsfs8d2tttfR2ipZo/VebKaPeta3K50BNlRbFkZs6NbscuVuLRArCDAGv+649yJm8fKy8tbdEG0nmOZTGbxPEfPHc/z+GL5EWzZdRE/fZJu9/pknufxdvRa6KqMCIz2wWO5s674OwaDwaI8ihkJWZeg6HQ6C/lFZ5j1uDttlWqz7rnw8fER5s4dey7I9Y7oDBQkE06H4zj8+eefgj22I9z+OoK4+5s17fn5+VlYv15pAejKzSytYWvumG1uW000WOMeK2dhsnysFMMTpAU7iljporq6GgEBAcI105bmMfFGTavVwmg0Wig+OGLu8gqrcdX1X6FRZ8LLj12Nf92ffOVfaidfT92O/H1NterPFKfCK7D598e60ZaphDBL+ivByjLYtWsymRw+d+6CrSbl9piiWCuNmM1mi+Y/V6laiF3v1q1bhwMHDmDMmDFIS0vD3LlzyfWOaDMUJDuYl19+Ga+88orFY4mJiTh9+rSLRuRecByHY8eOITMzE6tXr8aZM2cwadIkpKamYtasWe1y++sI4gWyrKzMrjqiXVkWCUCzhkWx1Fh4eHinymlYcxXLbNXV1SE4OFhYwD29uUpsTiFu9rT33Ikd4cTycvbim1+O4YHnN0IqlWDDtzdhwqgYu702AKx98BAOL7sIAPhH9hT0HBlq0WTG6rSZZKMj5s5WA5un4ki5S9asy+6lNTU1TtWBZ0ZYWVlZzVzv0tLSmhlhdVcoJmkfFCQ7mJdffhm//PILtmzZIjwml8sRHh7uwlG5J+11++sornKk8nSBfaC5S6BMJrMoo3Dk3Imtnv39/YVsoacELmKZNmaIInbfc5SSBystYCoY3t7eFvJynZk7nudxz9O/4cesE4hU+2Nv1h1QhdrvWt770Rn8/swxAMDU//ZH2DUyQVXBluKHvWHSfOx6Zw26zippsQeuME4CWncUDQ0Ntcv7Mte7rKwsrF27FhcuXMDUqVORkZFBrnctQDFJ+6Ag2cG8/PLLWLNmDY4cOeLqoXgU7LiMlWTs3bsXI0aMEALm+Pj4Nt/82DE+u2HX19cLmTVmcevsG6mnWLXaMr1g2SGVSoWAgACnj1WsMiKu2VWr1W5XE8kkyVhwb88AtSOIj8dZDbhYT7kjwWZdvQET532L3AsVmDYhHqu/mGeX+mSTyYTDmWfx250nAAAx83yR/Ey8y1QVrN3rjEajRfbfnU6GxFJtGo0GHMe5tE+CGdywe3BDQwOCg4MtrOTb+l0wm804ePCgEBiT6137oJikfVCQ7GBefvllLF68GEFBQfD29kZycjLefPNNxMbGunpoHgNrvFizZg0yMzORnZ2NAQMGIDU1FSkpKRgwYECzG6xerxeCgfLyckgkEre1MRY3YJWVlUGpVAoBsyvqs63rWw0Gg0WdoTupkohlvrRaLXiet8gwOjsYcGapQ2cRy8tptVqhbMFay7otHM/V4pobvoNOb8IrT0zEk/eO7dCYxJuKiooKSOu88MctpQCAvjN64OZVEzr0uvaG/Z3Z99YdNo+sCZbVGDOpNndsRhRrfFdWVgqNk8xwyXqzZjKZsGfPHqxZswa//vor6uvrMWvWLKSnp2PGjBlu9b1ydygmaR8UJDuYDRs2oK6uDomJiSguLsYrr7yCwsJCHD9+HAEBAa4ensfB8zwqKiqwdu1aZGZmYsuWLYLbX0JCAk6cOIHt27cjNjYWTz75pEXTnbtkZ1uDBX1soZNIJHazeW4NpgrAjkblcrkQaHqKyoS1pjCr82WBgqMasFzRNOcIrJsH21vS8s3KY3joxU14+bGJeOLeMW16T/FJhUajsdhUqNVq+Pj44P96ZMFQZ0JwLz/888RMe3xUu2OtSMKOrx1dhmQ0GoW/WVlZmaDmoVarHV4DbC+sGyfvu+8+xMbGYsqUKYiMjMS+ffuaud5NmTLFrTbrngTFJO2DgmQnU1VVhbi4OLz77ru4++67XT0cj6aurg7r1q3DF198gX379qGxsRFeXl4YOXIkFi1ahJSUFI8I7lqCHVGyI1NrA4TOfDZxxpM12XSlBiUAQtMky/S11168Nayz/2xT4Um1qq3RVhk6MTzPI/dCBfonNLePtn6eWMXkSpuZL6/ZisKDlYAEeLY0DUo/95b3F2+aysrK7NrQCjSdkrF7AqvPZ4GxK0rH7EldXR2WLFmCH3/8EWfOnAHHcQgLC8OMGTNw7733Yvz48R7/3XI3KCZpHQqSXcCoUaMwbdo0vPnmm64eikdy4cIFLFq0CDt27EBcXBxmzZqFWbNmYcSIEdixY0czt7+0tDSMHz/erUos2ostabmwsDAhsGjLZ2M1lWzxZhlPV8s1OQPWvMZqwH19fYW5a2vGjbkGarVaVFVVCZlWVx2vOwvxdcMk0sQlLS1dezq9CV7KJnOdlspi2lIjm3X/QRz57hIA4N5dUxGZFOKIj+kQWpJGZHPXnmuPfffZho8Fxp6s9MIUMTZs2GDT9a5fv37YvHkz1q9fjw0bNgAAZs+ejWXLlnXZ75sroJikZShIdjJ1dXWIjY3Fyy+/jEceecTVw/FIampq8PXXX2PWrFno27evzeeI3f6ysrIEt7/U1FRMmjTJ44/qxDJOYmk561pS1iDIyiiUSqVFGYU71Sk6C5PJZJEFZiYc1g1hrdXsdlYe0FNhQQ2bEybNZ22NfepcGW5/dC3mzYzHjAmhQjaaXaPtabDc834uNj+fAwBI/3IUhi6Ic9jnczQGg0FQOGGKD+x6Em8WHCnV5mpac73LyMjA8OHDbV4bZrMZ+/fvR05ODu677z4XjLxrQjFJ61CQ7GCefPJJzJkzB3FxcSgqKsJLL72EI0eO4OTJk1CpVK4eXrfAltvfjBkzkJKS4rZuf+2ByaOJj1+VSqVgH8vMFcLDw7tEGYU9EasAsCypv78/pFIp6urqwPO8EAB2VP2hKyNuwGLycj4+Pljx2yV8/P15KBQSLH9vCq4e26/D197ZjcVYPnc3AGDCk4mY+soQe38Ml8DKqcRa2YGBgZBKpWhsbITRaGxTxt4TYM3X69atQ1ZWFnbt2oWhQ4ciIyODXO+cDMUk7YPu+A6moKAACxYsQHl5OVQqFSZMmIB9+/bRxehE5HI5Jk2ahEmTJuGDDz7An3/+iVWrVuHll1/GPffcI7j9XX/99R7T7CJGqVTCx8cHvr6+qK+vR0NDAwwGAwwGA3x9fREaGoqwsDAKkG0glUrh7++PxsZG6HQ6lJeXo76+HhKJRJD4CgoKQlBQEAXINvD29kZwcDAMBgP0ej3q6upgNptxbXIQ/jwajD9zqvDM4oPYtWpQh6891YBA4b+1p2vtNXSXI5VKERwcDI7jYDabhcZFuVwOg8EAPz8/+Pr6wtfX1yOvvdZc777++mtyvXMRFJO0D8okE90WV7v9dQZrgwgmoSRurGJlBRqNBmVlZcJxN9MTdtfP5mhsaT+zbDuTaZNIJM0sewMCAoTjbk9vkOoM4gyoRqOBwWBoZr3OcRwuXi7FlJtXoKxCj+vGh+PFh5OE57SnXIDneLwZsQbGBjNCE/zx8LEZDvx0jsdsNlt8L5lUm1jnmzWGsn/MiMPRxjOdpSXXu/T0dKSnp5PrHeFxUJBMELB0+1u9ejWOHDmCcePGITU1FXPmzHH5zZ017rHAuK6url2GKK6SlnMXrI+29Xq9INPWFnk4JpHHakmZKYirtKydjViDV+wWyK6flhrvduy9jNl3/gyeB959PhlJ/b1a3JS0xv8mbEXx4UpIpMCzmnQofDxL4YBJtTEDnPZItTEzJFZDz2rjWdDs6tp4cr0jujIUJHcDdu7cicWLF+PQoUMoLi7G6tWrkZaWJvyc53m89NJL+OKLL1BVVYXx48fjs88+a7EprqsjdvtbvXo19u7di5EjR3bI7a8zsMCEBcZMDonVx3ZUf1csLSdWK2BKA+6apWovRqPRwgaaNUl1VrvWOmBkGw5Ha+I6G+uNgZeXV4dMbl5+bycWL9mH4EAv7F1zB3qofJq9rtiF0NaGbfU//sSxH/MAAPftnYYeQ4Pt+VEdAjNGsSXV5u/v3+HXZSorZWVlqKyshJ+fnxAwO2vDxnEcDhw4YOF6N336dGRkZHRr1ztaa7seFCR3AzZs2IDdu3djxIgRyMjIaPbFfeutt/Dmm2/im2++QXx8PF544QXk5OTg5MmTHq8C0Vl4nkdxcTHWrFmD1atXIzs7GwMHDkRKSgpSU1Pt3nBiy4nqSgFEZ2AZaraYNzY2OsWAw1GwJkY2f35+fsL8OaLe3Lr0gMnqMS1rT2u2YgGYRqOxW4mJ0WjGdbf+CLlMiqX/nY3oyL9rjK2l4TiOs7DJZvO3653T2PrScQBAxtLRGHKje7qDWWtzBwcHC/PniIwv2wiysgyg8zbjLUGud1eG1tquBwXJ3QyJRGLxxeV5HlFRUXjiiSfw5JNPAgCqq6sRERGBZcuW4aabbnLhaN2Lltz+UlJSkJaWhqFDh7Y7iBUHqVqtFvX19QgODhYWOmcvPGyRZ01EbJFXq9VueRO3NX8hISFCYOzMo2ixbBcriXHVWNoKk3RjY2ZSYx2xpm6NsooGBAd6Qy5v+fvR2t+y6iCH1bcdBABc/XR/THlxsF3G1VnE86fRaNDQ0GChX+7MTaYtyUI2f+Hh4R0y0NHr9cjOzsaaNWssXO/S09MxdepUt7wnuAu01nYNKEjuZlh/cS9cuICEhAQcPnwYw4cPF553zTXXYPjw4fjggw9cM1APoKamBuvXr0dmZiY2btyI8PBwzJkzB6mpqRg9enSLx+4mk8ki+8OyZ+yfu2QfdTqdsPhXVVUJWUXm7OUq2pp9dDXWWe322jw7CrEjnEajaVZu44z5q67VIyig9eY98fwVnSzDX/c3KVv0uV6Nm1dc7bL543newgmTSbWx0wN3KVdqaGiwOJXy9fUVAuagoKAWN/QNDQ3YsmULsrKysHHjRvj5+SE1NRXz5s3D1Vdf7Tafz92htbZrQFd7N6ekpAQAEBERYfF4RESE8DPCNoGBgViwYAEWLFiAhoYGbNq0CatXr8YNN9zQzO3vwoULWLVqFUpLSzFnzhz4+voiPDwcQ4cObXXBciXe3t6IjY1FbGysUJ+q0Whw4cIF+Pj4CAGzM9zmrOtjlUol1Go1hgwZ4pAyFHvg4+MjzB9r3NJqtbh06ZIwfkeV0VjDNmasjloqlUKtVmPgwIFObdzUG0z49+JsZP1+BnvX3IGwkJaz6+L5GzzIgKOPrIPZwKPwWDl27tzp1DpwjuMsGl+Zfnb//v3dtg7d19dXmD/299dqtTh69ChMJhO+/PJLTJ06FWlpafDy8sKGDRuwdu1abN68GREREUhLS8P69esxduxYt/x+eRq01nomFCQThB3w9fUVZI4MBgM2b96Mzz//HDfccAN0Oh14nkfv3r2xYMECjBs3rkNHn65EqVSiZ8+e6Nmzp7DglpaW4uDBgxZOaiEhIXYJmG3JtAUEBEClUqFPnz4eJ8GmUCgQFRWFqKgoC6WRnJycdlk0twfmtii24lapVLjqqqtcpgduNHLYvPMCCktq8chLm/D9B6ltGoeXtxLhiYEozamGrpjDwMRBqKgux+nTp2EwGNqlVNJWrDcWcrnc7TdmLSGXyxEREYGIiAjwPI/8/HwEBgbi9ddfx2OPPQYAUKvVyMjIwM6dO1t0vSOI7gYFyd2cHj16AABKS0sRGRkpPF5aWmpxJERcGYPBIAjn//bbb+B5HmlpaejduzeKi4vx+++/48MPP8SZM2c82u1PvOCKM2zHjh0D8Lc0WFhYWLsWWrHUFXMgCw0NRVRUFIYNG+bRVrximA22SqUS6kg1Gg3OnDnTbmk6a6wbx5hMYGJioltca/5+Six9dw4mz/8eazadwbercrBw3tA2/a6qf1OQzJt58BUKJA5MRL9+/YTNVGFhIU6dOtVueTkx4hOTiooK4cRkxIgRTjkxcSQtud7dcsstCAgIwIEDB/DVV19h69atmD17NtLT0zFhwgRXD7vLQGutZ0JBcjcnPj4ePXr0wNatW4Uvak1NDfbv349Fixa5dnAeyDvvvIPJkydjzZo1SE5OtsgKchxn4fZ37733Ytq0aUhJSfFYtz9mchAeHo4BAwYItZqnT59uU62m+BhYrL/bt29fu2ZV3RWJRILg4GAEBwejb9++QsBXUFCAU6dOISgoSMjS2zp9EDdraTQaj9hYJA3qgRf/eTVeeCcb//rPVowfGY0+vUKv+HvWznvqgU1yZ/7+/vD390d8fLyQPddqtbhw4UKb1GFaqr3v16+fW2wsOoO1692ff/6JMWPGID09HV999VUzOcu6ujps3rwZv/76K5YuXUpBsh2htdYzoca9bkBdXR3OnTsHAEhKSsK7776LyZMnIzQ0FLGxsXjrrbfwf//3fxayNMeOHSNZGgfSmtvf7NmzPV6A37rrXywtFxAQIAR24jIAZ+q8egJMZ5fNE5OzCw8Pt6hx5jhOmD9P0bk2mznMvuNn7PwzHyOHRmLL8puhULS+ITq1thArFuwFAFzz/EBMem7gFd7DbLEBE8+Tj4+PUErhCSou7UHserd27Vrk5OSQ652ToLW260FBcjdgx44dmDx5crPHFy5ciGXLlgkC5//73/9QVVWFCRMm4NNPP0W/fv1cMNruh7u7/XUWnueh0WiQn5+P6upqcBwHuVyOkJAQxMbGIjT0ylnE7k5DQwPy8vKg0Wig1+sBAP7+/oiMjER0dLRHBMbWFBTXYEzKUlTV6PH0omS8+OjVrT6/7EwtPknaBAAYmBGNG74b2+b34jgOxcXFKCwsRE1NDXieh0KhQFhYGHr16oWAgIBOfRZXw3Ecjh8/jjVr1pDrnQuhtbbrQUEyQbgRLbn9paamIiUlBb169fKIxY7VKrNsJ5MZU6lU8Pf3F8oymDRaRESE8DOiCWvHNj8/P6F0xWAwCPJeZrPZYx0TMzecxkMvbMKHr16HedcPaPW5nInDf8JXgzPyUA0IxAMHr2v1+TzPo7KyUqjRNhqNQr28j4+PIINXVVUlyPOpVCqPqT0Wu96tW7cOpaWlFq53nli+RRDuBgXJBOGmONvtr7OIA7fy8nIoFAoh8AgJCbFZD8p+R6PRoLy8HD4+PkIg090WeWZGwgLjuro6BAcHWwR2tn5H7JjY0NBg4ZjojjXJ1pRXNrYqBSfms1G/Q3OyBlKFBM9p0yFTWF5THMcJZRRarRYAhDKKlqTujEajcN0yFQuxvJw7qTww1zsWGNfV1WHWrFnIyMgg1zuCcAAUJBOEB8Dc/rKysrB69Wq7uP3ZA7FMW3V1dacMM2xJbrHX8jTJrbYiNqbQarXQ6/VCxj08PLxD6hbivwdTenC1AUxbqanTI9C/5cD+l9v34cSqAgDAg39dh/DEQJhMJmGjVVZWJkgSsuumPdeg2GiFZZ+Z2khH/h72wNr1DgBSU1PJ9Y4gnAAFyYRL2LlzJxYvXoxDhw6huLi4mcf9HXfcgW+++cbid6ZPn46NGzc6eaTuSUfd/jqLLetbR9gYt2TewDKCnqx6IW4oY9lOceOdvXWSWeOft7e3kGF2xwbJTdkXcN+zv+GtZ6dg/hzbTXk73jiJ7P+cBABM/agf/JKa5tLX19fu5ja2bMaZpJ6jLeNbcr2bO3cuJk6c6FElNY6C1hDCGdA3jXAJ9fX1GDZsGO666y5kZGTYfM6MGTOwdOlS4f97wtGxs7Dl9peZmYkbbrgBPj4+mD17NlJTUzF+/PhO2wybTCaL+mIACA8PR0JCgsNqYMXScuJsa25uLgwGg5BtValUHhEwWJeVeHl5Qa1WY9iwYe3OdrYVLy8vREdHIzo62kJq7/Dhw5BKpRabDnfI0h/KKYa2vAGPvvw7xib1RFx0kMXPGxsbIQk3CP8/73Apkif3cZhUm0QiQUBAAAICApCQkGChNnLu3DmL0qDObjqYGszGjRuRlZXVzPVuzJgxHr0xdAS0hhDOgDLJhMux9rgHmrIAVVVVWLNmjcvG5YkYDAZs27YNmZmZyMrKgtlsxqxZs5CamorJkye3eZHQ6XRCnSbLQor1Zl2VhRRn9zQaDerr64UaXLVa7ZLj8JZobGwUspBMf1dc+uCqOeQ4zqLEg+lZs5KCzm6qOorJxOG6W5dj/+EijBsRjY3f3YTGxgbhb11XVwd5lR+yFxYCAAbfEIO5y8a4aKy29b1ZHXNbNm6shGr9+vVYu3Yttm3bhoSEBKSlpWHu3LnketcOaA0hHAUFyYTLaekGt2bNGiiVSoSEhGDKlCl4/fXXERYW5rqBehgmkwm7du3CqlWrkJWVherqasyYMQOpqam49tprLbJvHMchPz8fZrMZWq0WtbW1Tjta7gwNDX8HUcxhjgXMthrdHAnLBrImuvr6eoSEhAglDu5YO+puY76QV4nktGWoqzfijvRYZFzbVILCVD1kkOM/4avBm3lEDAnC/fuuder4bMFOOqydIlUqFaRSKaKioiyey1zv1q5diz/++ANDhw5Feno65s6d63bNuJ4CrSGEo6AgmXA5tm5wP/30E3x9fREfH4/z58/jueeeg7+/P/bu3UvHjh1A7Pa3Zs0aFBUVYcqUKejVqxcKCwuxe/du9OjRA0uWLHFpk1JnsJZM8/f3FwJmR2VubTV6uUNWtqM0NjYKc8ik0VjA3N5GzLYizmxrNBr8vrsU7y27CLlMgq0/3YKRQ6Msnv/JVZtQllsLmZcUz2nTIZW5V1DJmicvX76MtLQ0xMfHY/To0QgKCsLBgwdx4MABwfUuIyOjmesd0X5oDSEcBQXJhMuxdYOz5sKFC0hISMCWLVswdepU5w2ui1FZWYn169fju+++Q3Z2NsxmMziOw+DBg3HHHXdg7ty5XcJ4gDnSsRpg1rRmD2k58VG7Vqt1y/peeyCW9CsrKxMsnjuiGmGN2Wy2aMyUSCTCa4eEhGDhY79i9aZcJPYOxa7MhfD1+XuzseLmvTiV1VRy8fCxGQhNcD9tbWYQ9P333+Pnn39GYWEhZDIZAgMDkZqaigULFmDSpEketxF1V2gNIRyF+3e8EASA3r17Izw8HOfOnaMbXAeoqKjAvHnz8Mcff2Dw4MFISUnBG2+8gaSkJJw5cwaZmZlYvnw5nnrqKYwfPx4pKSlISUlBZGSkRwbMCoUCUVFRiIqKgtlsFoK9v/76CzKZTMiOtqTfbI21UgRr2kpKSnJLpQh7oFQqLeaQBbVHjx4F0H5FDpPJJMxhWVkZlEolVCoVhg8f3mwOP3jlOuz9qwAjh0XBbOYsXie8fwCQ1fTf2tM1bhMki13v1q1bh/Pnz2Pq1Kl45ZVXkJqaCj8/P2RnZyMrKwt33nkn6urqcNttt+Hjjz929dC7BbSGEB2BMsmEy2lLFqCgoACxsbFYs2YNUlJSnDe4LgLP8/jyyy8xffp0xMbGtvicruD21xqsPIId7fM8b+FWJw722LE5q3f2NM1hRyGuwWU22eK6YXF21GAwCHNdUVEhuAa2RUdbW9EAVahvs8dzVuQh884/AQBTXxmMCU/2t/+HbCMcx+HgwYNCYNxW1zue5/HXX38hPz+/1fse0TZoDSEcBQXJhEuoq6vDuXPnAABJSUl49913MXnyZISGhiI0NBSvvPIK5s6dix49euD8+fN46qmnUFtbi5ycHJLxcQJit7/MzEzs3LnTrd3+OgLTfGZBnF6vR1BQEGQyGRoaGtDY2CgYSXiKe52z4Xke9fX1QtlEbW0tAgIC4OXlBb1ej9raWgQGBgqBsa9v86C3re+j05vg461AaU4VlozdAgAYelMs0r8abc+PdEXI9c49oDWEcAYUJBMuYceOHZg8eXKzxxcuXIjPPvsMaWlpOHz4MKqqqhAVFYXrrrsOr732GiIiIlww2u6NLbe/Xr16Yc6cOS51+7MHYtMSjUYDs9kMqVQKk8mE0NBQREREUIB8BcSBcklJCerr6yGXy2EymeDr64sePXpApVJ12OSjRFuHB57fCD8fBb59PwVmPYc3VKvBc0Dk8GDcu3uaAz6VJbZc71JSUpCRkUGudy6C1hDCGVCQTHQYjuM8NjgiOk5NTQ1+/fVXrF692sLtLy0tDaNGjXL7znGj0WjRkCaXy5vVKLuTtJw7wvM8ampqhDnS6XQWBi8KhaLZPCsUCuHnba0FB4C/coox+aYfYDJx+PLtWViQOggfDduIinN1kPvI8JwmDRKp/U81xK53GzZsgL+/P7neEUQ3g4Jkot0YDAbqyiYAwMLtb/369XZ3+7MXYrc0VhvL6ouvlOFkTXsdqavtSojl7ljWnc3hlZr3rG3GOY6zaPy7UsD51qd78OoHuxDor8Sf6+7C7seOI/fXIgDAIydmIqRX50scWnO9y8jIwNixY91+A0gQhH2hIJloN1999RW+/fZbfPXVV+jTp0+zn3tyhvnNN99EZmYmTp8+DR8fH4wbNw5vvfUWEhMThefodDo88cQT+Omnn6DX6zF9+nR8+umn3f4Yz2AwYOvWrYLbH8dxmD17NlJSUtrl9mcPbNXKsmywSqXqcG0sy45qNBpBFo0FzF1R5cJsNqO8vFyYR6lUKnze9mSDxYiz0FqtFo2NjYL5RkulLSYTh2tvWY4/jxRh4ugYPBE/GLv/mwsAWLBqPPrNiOzQ57Plete7d2/B3KO7u9511/shz/P48ccfkZSUhAEDBrh6OIQLoSCZ6BAhISH45ptvkJKSArPZDJlMBp7nPT5ImDFjBm666SaMGjUKJpMJzz33HI4fP46TJ08KDTmLFi3C+vXrsWzZMgQFBeGhhx6CVCrF7t27XTx690Hs9rdmzRrU1tZi+vTpNt3+7EV7VBfsgSMCSHfA2RsBWyoibDMjvk7OX25y46tvMOLlKaPQ8G05AGDa60Mw/rHEll6+Ga253mVkZGDAgAEefx+zF935fviPf/wDxcXFePLJJzF58mSPTv4QHYeCZKLdmEwm3H333ZBIJFi2bJnw+OLFi/HJJ58gKysLw4YNc90A7YhWq4VarUZ2djYmTpyI6upqqFQqLF++HPPmzQMAnD59GgMGDMDevXsxduxYF4/Y/eA4Dvv370dmZqbg9jdt2jSkpqZi5syZnTL3sDalANqv32sPxNJyWq22XaUI7oC7lJSI9ajLy8vh6+srzGNgYCCWrTyGh17YhJ6cD24pasoeD781Dqmfj2r1dXmeR15eHrKysrB27Vr8+eef5HrXAbrT/bC2thaLFy/GypUrcfToUSox7KZQkEy0C7ab/vjjj/HZZ5/hxIkTyM/Px9tvv43ly5fjzTffxF133dVlmlrOnTuHvn37IicnB4MHD8a2bdswdepUVFZWIjg4WHheXFwcHn30UTz22GOuG6wHwHEcjh07JmSYz5w5g8mTJyM1NRWzZs1qk9tfS05wKpUKwcHBLs/2MGk5rVaL0tJS6PV6QYvZnayqWXOiVqtFdXU1goKChIC0o+Uo9oQ5G7KMNnM2fPado7h8qRZ37udgggJBI3vhHysGQ6LXgxdpgDPXu7Vr1yIrKws5OTm4+uqrkZGRgbS0NPTs2ZMC43bSFe+HHMeB53mbG1mO45CQkID58+fj2WefRVBQkAtGSLiSrhHJEE6DBSAzZ87EkiVL8Pbbb+P333+H0WjEihUrupSTEcdxePTRRzF+/HgMHjwYAFBSUgKlUmmxIABAREQESkpKXDBKz0IqlWL48OEYPnw4Xn31VeTm5iIzMxNff/01HnnkkRbd/nJzc6HRaODj44Oqqir4+/tDrVajd+/ebtc8J5FIEBwcjODgYPTp00eojb58+TJOnDiBkJAQIUvr7Drturo6QZGivr4eoaGhiIyMxNChQ91O5k4ulyMiIgIREREWTYP3zFMj9Fwlrv7zBRh4JTJz7oP3mLshaWhA4/r1OOblJWSMmbvagw8+iNTU1C5hue4qPPF+2FIJICsRBGCxqS4rK0N4eDiAprIjhUKBZ555BkuXLsWoUaMwd+5c5wyccBsoSCY6REJCAiQSCZ555hk88MADeOWVVxAWFtbp1+U4DhKJxC0WsgcffBDHjx/Hrl27XD2ULolEIkH//v3x3HPP4dlnn7Vw+3vqqacwcOBABAYGoqCgAAUFBbjnnnvwz3/+E4MGDfIYGTaJRAJ/f3/4+/ujd+/eaGxsFPSEc3Nz7WK00Rq2DFPCw8PRq1cvt8pqXwmpVIqwsDCEhYWhv48PvO9YAPAGyGHAQv1imLSABAA3eTLu9PbGwJkz8eyzz2L27NldsqHSFXja/TA3N9eiwVC8toizxhUVFXjyySexYsUKjBgxAjfddBMWLVokXDNpaWlYvXo1Nm3aREFyN4SCZKJdsJ15fn4+Bg4ciMTERHz88cdXfH5LsPKNyspKKJVKt3Greuihh/Drr79i586diI6OFh7v0aMHDAYDqqqqLLInpaWl6NGjhwtG2jWQSCSIjo5GUlISLl26hEuXLuHMmTMICAhAZWUlEhMToVarUV9fj5iYGFcPt8P4+PggLi4OcXFxFnXA586ds1sdsLX1NpNb69evn0fUR18Rb2/A1xdoaISM5wA0LWQmAPU8j5i+fXHVVVchKSmJAmQ74Wn3w59//hkrVqzA559/LmSGWcbYYDDgu+++w7lz53DjjTeivLwcfn5+WLduHdavX48HH3wQV199tZAtj4iIwPDhw3Ho0CGcP38eCQkJLvtchPOhVk2iQxw9ehSnTp1CRkYGgKbjK1uwBcpsNtt8Dvv50qVLERwcjOeeew6NjY3Nnues0nme5/HQQw9h9erV2LZtG+Lj4y1+PmLECCgUCmzdulV4LDc3F3l5eUhOTnbKGLsiu3btQkREBBYsWAC9Xo/PP/8cVVVV0Gg0KC0txRNPPIG//voLEyZMwMiRI/HKK6/gyJEj4DjO1UPvMF5eXoiOjsZVV12Fa665Br169UJdXR0OHDiA3bt348yZM6iqqmrTtW82m6HRaHD8+HFkZ2fjxIkTAIDBgwfjmmuuweDBg6FWqz06QNbr9fj999/x4Kuv4ma9HlLe8m8vB+D944+4+bHHcPDgQYwaNQqJiYloaGhwzYC7AJ52P2T3g7/++gtyuRzh4eEwmUzgOA4bN27Ezz//jIcffhjvvvsu/vjjD1x99dV47rnncPfdd2Py5Ml45513kJiYiC+//BJ6vV543UGDBqGurg6lpaVO/0yEa6FMMtEuWFB7/PhxcByH6667DgAsFl+WPd63bx8KCgowc+bMFjPEEokEJpMJJ0+ehJeXF77//ns899xzws+rq6vR0NCAyMhIp0jMPfjgg1i+fDmysrIQEBAg1NUFBQXBx8cHQUFBuPvuu/H4448jNDQUgYGBePjhh5GcnOzRndyuZvDgwfj1118xZsyYZo13YWFhuOuuu3DXXXdZuP1Nnz7d49z+WkKhUCAyMhKRkZGCtJxWq8WRI0cgkUigUqkQERFhIS1nNBoFJQjWwBgREYGrrrqqU4oh7oS1652fnx9uvfZavCaVgpfJIBFvvGUyBP3zn7jj2DHccccdaGhowP79+92iCdFTcaf7IdsstnZdS6VScBwHb29v+Pv7A4DQRP7yyy/j8uXLSE9Px6FDhyCXy3H99dcjPz/foiHvlltuwbJly/DEE08Ip1ajRo1Cbm4uQkND7fqZCPeHMslEu7l06RK2bduGxMREhIeHN8t0sZtYfX093n77bURFRSExMREXLlyweB77vSNHjkCr1WLkyJFQKpWoq6sTnrNu3Tr07NkT9fX1Tln0P/vsM1RXV2PSpElC0BIZGYmff/5ZeM57772H2bNnC/a0PXr0QGZmpsPH1pUJDg5GcnLyFZUpAgMDcfPNN2PlypUoLS3Fu+++i8rKSsybNw/9+/fHY489huzsbBiNRieN3P7IZDKo1WoMGjQIEydOxJAhQyCVSnHixAns2LED+/fvx969e5GdnY28vDwEBARgzJgxGD9+PPr27evxJQY1NTVYsWIFbrnlFvTq1QvPP/88oqKisH79euTl5eGtV16B0mSCBADYpoj9b0MDoNMBAHx9fTF58mSXfIaugjvdD8W9KhzHtXiKJJVKcfToUajVahgMBmGdWbBgAerr6zF69Gh4e3tDLpfj3nvvhdFoxMWLF4Xfv/3223HhwgWcPHlSeCwuLg4cx6G+vt7un4twbyhIJtqNr68vBg8ejNmzZwNAizerqVOnYv/+/dizZw8WLlzYYi3pgQMHoNFocOONN6JHjx74/fffATQF2Tt37kRSUhL8/PwsyjXMZrNDSjB4nrf574477hCe4+3tjU8++QQVFRWor69HZmYm1SO7AF9fX6Snp+O7775DSUkJvvzyS3Ach4ULFyIhIQEPPPAANm3aZHFs6mlIpVJ4e3sL/8xmM/R6vfCZ2ONeXl4eGxjzPI/y8nJ8++23mDdvHnr16oW3334bAwcORHZ2Ns6ePYv//ve/GD9+fNNJQVwcsG0b4OMDhIUBv/3W9L8+Pk2Px8W5+iN1GdzpflhZWYmbbroJR44cgVQqtbmhZmtEUFAQjh8/DqVSKaxP48ePR0xMDMrLy4XnT58+HUajEYcPHxaeFxsbi759+2LLli3C9yw3Nxdjx4712O8Y0XGo3IJoN2q1Gu+++67w/1s74pZIJBg0aBAGDRpk82c8z+Ovv/5CYGAg/vGPf+DDDz+E7v9ngkpKSrBhwwY8/vjjwvOt37MruPwRnUepVGLmzJmYOXMmPvvsM+zatQu//PILHnnkEdTW1mLGjBlISUlxmNufPWlJqi0qKgrDhg2Dl5eXhe12Xl4eTp48KUjLqVQqeHt7u/pjtIot17shQ4YgIyMD77zzzpVd70aNAo4fb2rii4gAjh1ryiBTgNylECtShISEYOvWrRg+fDg4jsP333+PadOm4frrrxfWARY4T5w4Ec888wx4nhceGzlyJHr27InTp0+jvr4efn5+CAgIwFVXXYX9+/ejpKQEUVFRAIBrr70WP/30E5544gn06NEDVVVVKCkpwfDhw101FYSLIDMRot2wbEJnTBvYTe3EiRN45JFHMGLECLz99tu4++670dDQgB9//BHr1q1DamoqSkpKoFarAQD79u3D+vXrERISgltvvVV43NZrt/VxouviSLc/e2It1WYwGCwsta8k1dbY2CiYl1RXV7do7exKWnK9S0tLw9y5c8n1jgDQdJ1wHNcs+VJeXo4hQ4agpqYGHMdh5syZeOGFF2wGrseOHcOIESPwxx9/YOzYsYIu8gsvvIA//vgDixcvxqhRTS6N33zzDZ555hl8++23uPbaawE0ycLV1NSgV69eAID8/Hzs3r0bN910k0M/O+F+ULkF0W7EO/aOwvZm+/btQ319PcaNGwegSW4nLy8PALB27Vr069cParUadXV1+PzzzzF+/Hjk5ORg+fLlGDZsGJYvX25zfECTY5d4D+jpC/Cbb76JUaNGISAgAGq1GmlpacjNzbV4zqRJk4TMC/t3//33u2jErkcqlSI5ORmLFy9Gbm4udu3ahaFDh+Ldd99Fr169MHfuXHzzzTcoKytzmoIKg+M4lJWV4eTJk9i5cyeOHDkCo9GIxMREXHPNNRg2bBgiIyPbpGXs4+OD2NhYjBo1ChMnTkRUVBQqKyuxd+9e7N27F+fOnUNtba3TPyPP88jNzcXixYtx9dVXY+jQofj9999x880349KlS9i1axf+9a9/oXfv3h7//ewo9L22RKxjvHXrVrz22mv466+/YDQaERcXB51Ohz179mDVqlUtZnYHDBiA5ORkfPLJJxbGIdOnT0dDQwMOHTokPHfOnDkYPXq0RcIlNDRUCJABIDo6mgLkbgoFyYRLYEH2kSNHEBwcjAkTJgAAkpKS0NjYiO3bt1vs3FetWoVPP/0UL7zwAtasWYODBw/irrvuwptvvonq6moATUHHZ599JjT+yeVyYeF94oknhEYMFii0JFvnrmRnZ+PBBx/Evn37sHnzZhiNRlx33XXNmknuueceFBcXC//efvttF43YvZBKpUhKSsJrr72GnJwcHD16FBMnTsRXX32FhIQEzJo1C0uWLEFRUZHDgkmz2YzS0lLk5OQgOzsbJ0+ehFQqxZAhQzBx4kQMGjQIKpWqUyodSqVS0JyeNGkS4uPj0dDQgAMHDmDXrl3Izc1FZWWlwz4jsx5/7bXXMHr0aIwdOxb79+/Hgw8+iKKiImzduhUPPfQQoqOju21gLKYrf69ZVtgWLcmCAsCnn36K6Oho3HrrrThx4gSOHz+OkJAQ7N27Fz169MDmzZtbfV+FQoGnn34aW7dutXju2LFjodPpcPjwYRgMBgBNAXFWVhaGDRvW4uvRddp9oXILwmWcOnUKt9xyC0aPHo0lS5YAAAoLC9GrVy+88847ePzxx3Hu3DnEx8cjLS0Nvr6+ePvttwUx+x07dmDRokV47733MGPGDGzcuBHXX389nn/+eeTn50OlUmHRokXw9vZGdHQ0Dh48iKuuukqwG/3Pf/6Dy5cv4/XXX7dZtuHuaLVaqNVqZGdnY+LEiQCaMk7Dhw/H+++/79rBeRA8z+PSpUtCSca+ffswcuRIwR67V69enVokmVSbRqNBeXk5vL29BdMQZ5Z7mM1mVFRUQKPRQKvVCtJyarUaoaGhnTod4jgOBw8exJo1a7Bu3TqUlJRg+vTpyMjIINe7duLp3+uWyiXYz4DWg87CwkLMnz8faWlpePLJJwEAdXV1gqTbfffdh6NHj+KPP/644inLPffcg0uXLuH7779HREQEgCYN5QEDBjRz7WTGVgQhhq4IwmXExMTg0Ucfxbx584THJBIJRo4ciTfffBMDBgxAfHw8KioqUFhYiP79+yMyMlJ4rr+/P4qLiwUd1N9++w1AU/B91VVXobGxEf/85z8RHR2N0NBQlJWVAWjKMtTX1+P48ePIy8tDSEiIEz+1/WAZdGvtzh9++AHh4eEYPHgwnn32WTJTuAISiQTx8fF44oknsHPnTly+fBm33XYbtm7diqSkJIwfPx5vvfUWTp8+3ebsq06nQ35+Pg4dOiRItQUGBmLMmDEYN26cS6TaZDIZVCpVM2m5U6dOITs7Gzk5OSgtLYXJZGrT65lMJuzcuRNPPPEE+vfvj7S0NGi1Wrz11lvQaDTIzMzErbfeiuDgYAqQ24Gnf6/F5RIHDhzAvffei2nTpgk/k0gkMBgM+PbbbzFjxgxMnToVn332GfLz8wE0GQtVVlZiyJAh4Hke58+ftwho58+fj7/++gt5eXktfh/Z42+88Qa8vLzw+OOPo6CgAABw1VVX2bS1pwCZsAVlkgm3ge3k09LSsHbtWrz22mt4/vnnUVZWhgULFiApKUk4YuR5HkuWLMFTTz2F2tpaAED//v0xfPhw/O9//0NgYCA4joPBYMCgQYOgUChQWFgIHx8fbNy4EWazGU888QRmzZqFp59+GkBTpk0qlXrEgs5xHFJSUlBVVYVdu3YJj//vf/9DXFwcoqKicOzYMTz99NMYPXo06Th3AJ7nUVFRgaysLGRmZmLLli2Ij49HSkoKUlNTMXToUIuFNScnB35+figrK0NNTQ2CgoIQEREBlUplc1F2F3ieR01NjZDtbmxsRFhYmOBYJpbzMhgMyM7Oxpo1a7B+/XrwPI+UlBRkZGRg6tSpbq+q4e50he/1n3/+iY8++gjr1q2D2WzGtGnTcPfdd2PWrFmQSCTIy8vDiy++iMOHDyMlJQVSqRRr164VtLAvXbqEF198EStXrsTAgQMRFxeH06dPY8qUKXjzzTeF2u3HH38czzzzDICmjUVQUJBFNpg1al+8eBE//vgj+vTpgxtvvNGVU0N4IjxBuBCO45o9VlFRwX/00Ud8SUmJ8Nhdd93Fjx8/nq+qquJ5nuc3bdrEjxs3jr/lllt4nuf533//nY+JieFXrVpl8boXLlzgZTIZf+DAAZ7neX7Pnj28TqfjP/nkE37SpEn8jz/+yOfm5jr0MzqC+++/n4+Li+Pz8/Nbfd7WrVt5APy5c+ecNLKuS3V1Nf/DDz/w8+bN4/39/fm4uDj+pptu4lNTU/m4uDheLpfz3333HX/mzBm+srKSr6+v98h/paWl/PHjx/l//vOfvEwm44cNG8bfcMMNfGpqKh8UFMRHRUXxixYt4rdu3cobjUZX/1m6FJ7+vc7KyuL9/Pz4kSNH8nv27OEbGhqaPSc/P5//6KOP+MrKSuGxn3/+mZdIJPzJkyd5nuf50tJSfsOGDfyGDRv4H374gV+8eDEfHR3Nv//++zzP8/yjjz7Kx8bG8jNmzOCjo6P5F154odVxmc1mm2sNQVwJ0kkmXIqtrG1ISAgeeughi8eeeuopLFiwACNHjsSECROwbt06TJs2Dc8//zyApsa+Pn36YPDgwQD+ziJkZWUhIiICCQkJAIDk5GQYDAbs2bMHJ0+exK+//op33nkH58+fx+uvv44HHnigxUwye83i4mJUVVVhwIAB9pyKNvPQQw/h119/xc6dO4X67JYYM2YMAODcuXPCHBAdIzAwEPPnz0dMTAx69OiBFStW4JdffgEA+Pn54eabb0ZYWBgiIiIEK1xPxN/fHxzHYfjw4Zg8eTKys7Nx+vRpGAwG9O/fH7feeivmzp2LxMREVw+1S+HJ32t2b0xISMCECRMwZMgQJCcn23xudHQ07rvvPlRWVuLFF1/EDz/8gJqaGgDAypUr8eKLL0KtVmPGjBnC75SWluLbb78VTg1feeUVDB06FEePHsUTTzwhlHO0BJVSEB2FrhzCLeGtqoASExOxd+9ePP/88/Dy8sK7776Lr7/+WghU9+zZg+TkZMHVjwW6K1aswMyZMxESEiK85vHjx5GTk4OkpCQ8++yzOHDgAJ566il8+OGHqKioaHE8EokElZWVuO+++/Daa68JNXTOgud5PPTQQ1i9ejW2bduG+Pj4K/7OkSNHAMCilpvoGIsXL0ZUVBTS09PR0NCAr776CrW1tairq8OPP/4IpVLpsW5/fAuud6NHj8bevXvR0NCA0tJSPPnkk9izZw+GDh2KQYMGYcuWLa4eusfTFb7X7H6bkJCAwYMHW5SKrFy5Etdffz1SU1NRXFwMoKms5Pnnn0d2djZeeeUVnDlzBg8++CAyMzOh0+mg0+mQmZmJffv24fvvv8edd94JtVqNRYsWAWjasN555514//33rxggE0SncFkOmyDaQWtHZfv37+e9vLz4H374weLxiooKXqlU8r///rvFa3z44Yf8qFGj+C1btgjPzczM5Pv27ctv37691THceeed/IwZM4SyD55vOspzBosWLeKDgoL4HTt28MXFxcI/dqR57tw5/tVXX+UPHjzIX7x4kc/KyuJ79+7NT5w40Snj6+ps3ryZ3759e6slBkajkd++fTv/4IMP8tHR0XxQUBA/f/58/ocffuA1Go3LSynE/+rq6vhz587x77//Pj958mReLpfzSUlJ/KuvvsqfOHGi1e9cdXU1/9NPP/FnzpxxxFR3K9zle81xnF3uZd9//z3fu3dvfsiQIXxISAjfr18//qGHHuIPHDjAm0wmnuebvktKpZL/448/eJ7neYPBwN966628v78/f/ToUZ7nef6pp57ihw0bxickJPCPPvoof/78eZtjpjIKwpFQkEx4FNY3Rfbfhw4d4ouKinie54Ub8Y4dO3i5XC7UubGf3XnnnfysWbP42tpa4fFPPvmEHz16tFC7bOvG+8knn/BxcXH84cOHbT7H0XVvAGz+W7p0Kc/zPJ+Xl8dPnDiRDw0N5b28vPg+ffrw//rXv/jq6mqHjYloGbPZzO/Zs4d/4okn+ISEBN7X15dPTU3lv/rqK76oqIivq6tzSWB88uRJ/s033+THjRvHy+Vyfty4cfzbb7/Nnz9/ngIOF+Bu32u9Xt+h32PXzrFjx/hJkybxSUlJ/IULF/jGxsZmzz148CAvkUj4PXv28Dzf1CuSlpbGSyQS/sUXX+R5nucLCgr44uLiDn4KgrAPpG5BdFnOnz+PO+64Az4+Pnj22WcxefJkoYZt9OjReOONNwA0Wfo+/vjjOHPmDH7//XcLfU/+/5dZ5OTkYN68ebj99tvx/PPPw2QyQS6X4+jRo4iMjPRInWXCeXAch6NHjyIzMxOrV6/G2bNnMXnyZKSmpmLWrFkICwtzmKoKz/M4e/YssrKykJWVhZycHFx99dVIT09Heno6evbs6RGKLoT9YPc19r+M+fPnIyoqCosXL26xrp4ZgLRkeFNfX4/nnnsOBw8exO7duwE0Xf9M/o0xdepU5OXlQSqVory8HJ9//jl69uyJhIQEqFQqi7HyPE91xYRL8NzuEoK4AgkJCViyZAkWL16Mhx9+GJs3b8bu3btRWlqKa665RnjeqVOnkJubizFjxkAmk1nICLGb+tatW6HT6YSaOLa3vOmmm5CQkID09HSUlJTghhtuQL9+/SwWH5PJBJlMZrFA6HQ6ksvqRjC3v6SkJLz66qvIzc1FZmYmvvrqKzzyyCMYP348UlNTMWfOHERGRnY6aOU4DsePH0dWVhbWrl2Lc+fOYerUqXjwwQeRkpKC8PBwCoy7MRKJBBUVFYIWM8dxqKiowB9//IFPP/0Ucrm8RXMNFhw3NDRALpdDqVRa/NzPzw9JSUnYtGkT9uzZg3Hjxgmvc/bsWeTn52PKlCn47rvvkJ2djcrKSsybN6/FRIN1cE0QzoS2ZkSXZtCgQVi2bBmOHz+OyMhIxMTEYPTo0UJ3OAAcPnwYdXV1uPbaa22+RklJieDCFhoaCrPZDIVCAZ1OhwsXLuDAgQO4dOkS9uzZg5EjR2Lbtm2QSCTQaDQALO2xAaCmpgaPPfYYvvzyS8d+eMItkUgk6N+/P5577jkcOHAAZ86cwZw5c7Bq1Sr0798f06ZNwwcffICLFy+2yzqa4zj8+eefeP755zFs2DBMnToVubm5ePbZZ1FaWor169fj7rvvhkqloqCjm/PGG29g2LBheOedd2A0GiGVSrFu3Tp4e3tj6tSpLQbIOp0On376KZKTk+Hv748///zT4ufseh06dCiioqKwefNmaLVaPPfcc+jfvz8SExPx8ccfAwCioqKwYMECPPDAA1Cr1S3aVxOES3FNlQdBOAeO44QaZVsYjUb+H//4Bz9o0CCbtXM8z/OXLl3iBw0axH/yySc8z/PC85YtW8b7+vryK1eu5Hme53U6HT979mx+2rRp/OLFi/kpU6bwUVFR/DvvvCOMgf3v/Pnz+eeee47neec1/jmaTz/9lB8yZAgfEBDABwQE8GPHjuV/++034eeNjY38Aw88wIeGhvJ+fn58RkaGhRZ2d4fjOL6wsJD/+OOP+alTp/IKhYIfPnw4/+KLL/KHDh2yWcNcXV3Nb9iwgb///vuFRsEFCxbwK1eutKi57+7QtWlJTU0N/9VXX/ExMTH8ggULeJPJxD/66KP8jBkzWv29jRs38qmpqfxrr70mNNjZorq6mr/tttt4iUTCy2Qyfty4cfyXX35pUzeZ6uAJd4Zqkoluha0MSXl5OU6cOIGJEye2+PMePXrg6NGjGDhwIAwGA5RKJSZPnoywsDB89dVXCAoKAgDcf//9WLFiBf71r3/hjjvuwI8//ojPP/8cWVlZ6N+/v/CazFZ28eLFzY4rPZV169ZBJpOhb9++4Hke33zzDRYvXozDhw9j0KBBWLRoEdavX49ly5YhKCgIDz30EKRSqVC3SPwN//8l2dauXdvM7W/27NkoLy9HVlaWhetdeno6pk2bRmU8NqBr0zYHDhzA3LlzMXToUGzbtg3Lli3DjTfe2GIm2Ww2t1iLbM327dthMpkwdepUi9dq6bUJwi1xZYROEO4My3D89ddffExMDH/58mXhMbPZzMvlcn7p0qUWj8XHx/PPPPOMkDE+deoUHx8fz3/44YfCc3ie519//XU+OTnZ2R/J6YSEhPBffvklX1VVxSsUCiHrzvNNcwOA37t3rwtH6BlUVVXxP/zwAz937lxeJpPxQUFB/KJFi/gtW7bwBoPB1cPzSLr7tcnuRefPn+dvvfVWXiKR8O+9916zn9vrvShjTHgi1LhHEC3A6jZ9fHwwZMgQXLp0CbGxsQCaHP6CgoIwevRo4XlHjx7F5cuXMX/+fCHbIpVKUVpaiuHDhwMAjEYjvLy8cPToUcFVqytmVsxmM1auXIn6+nokJyfj0KFDMBqNFsL//fv3R2xsLPbu3YuxY8e6cLTuT1BQEG6++WbcfPPNyMvLQ1BQkHB6QbQPujabYPec+Ph4BAcHIyQkBIsXL4ZGo8Ebb7xh13tSV7u/Ed0HCpIJ4gr0798fx48ft2gseeeddzBw4ED07NlTeGzVqlVITEy0sOtlx7XMotXLywsAcPDgQdx9991dLkDOyclBcnIydDod/P39sXr1agwcOBBHjhyBUqlEcHCwxfMjIiJQUlLimsF6KGyjRrQPujZtYzAYsHz5cqxcuRJFRUX45z//iZKSErzwwgttcv8jiK4MBckEcQWMRiNefPFFi0X05ZdfhpeXFwICAoTHfvzxRyxYsAA+Pj4AmjrB16xZgylTpkAul8NoNEKhUOD48eNobGzEgAEDulSADDTZhx85cgTV1dX45ZdfsHDhQmRnZ7t6WARB12YLZGdnIyQkBGFhYZgyZQoiIyPx2muvYdasWXjppZcwf/78LreZJ4i2QkEyQVwBhUKBu+66C3q9Xnhs5syZFs8pKipCdXU1ZsyYYfHYnj178OmnnwL4u3zjyy+/RHR0NAYNGuSE0TsXpVKJPn36AABGjBiBAwcO4IMPPsD8+fNhMBhQVVVlsdkoLS1Fjx49XDRaojtB16Yl/P/Xct+9ezdCQ0MxbNgwcByHqVOnYtiwYfj3v/+NmpoaAFQuQXRf6MoniDYgkUgsVAN4K1GYqKgolJWVYdy4ccJj2dnZKC8vx/XXXw+gSS+5oKAAS5cuxT333IN+/fo5Z/AuhOM46PV6jBgxAgqFAlu3bhV+lpubi7y8PKEUhSCcSXe/NiUSCRobG/HLL79g/vz5AJqCYZ7nER4ejiVLluCee+5x8SgJwrVQJpkgOoC1GQM7jhRnXCZNmoQlS5bAz88PAKDVavHOO+8gPj4e9957r1PH6wyeffZZzJw5E7GxsaitrcXy5cuxY8cObNq0CUFBQbj77rvx+OOPIzQ0FIGBgXj44YeRnJzcZRujCPeBrk3bVFVVISYmBrNmzRIeE9/bqMyC6O5QkEwQdsDWQmIdDL/44osoKCjAf//7XwBdbwHSaDS4/fbbUVxcjKCgIAwdOhSbNm0SnAzfe+89SKVSzJ07F3q9HtOnTxdKUQjCkdC1aZvIyEhs3LixxZ93pfsTQXQEMhMhCAfBav4A4I8//sD777+PF154QZCDIwiCcAe62oadIOwFBckE4QSMRiP0ej38/f1dPRSCIAiCINoABckEQRAEQRAEYQWdrxAE0S347LPPMHToUAQGBiIwMBDJycnYsGGD8PNJkyZBIpFY/Lv//vtdOGLPgOaVIIiuCmWSCYLoFqxbtw4ymQx9+/YFz/P45ptvsHjxYhw+fBiDBg3CpEmT0K9fP7z66qvC7/j6+iIwMNCFo3Z/aF4JguiqkLoFQRDdgjlz5lj8///85z/47LPPsG/fPsHYxdfXt0sbSDgCmleCILoqVG5BEES3w2w246effkJ9fb2FYcQPP/yA8PBwDB48GM8++ywaGhpcOErPg+aVIIiuBGWSCYLoNuTk5CA5ORk6nQ7+/v5YvXo1Bg4cCAC4+eabERcXh6ioKBw7dgxPP/00cnNzkZmZ6eJRuz80rwRBdEWoJpkgiG6DwWBAXl4eqqur8csvv+DLL79Edna2ENCJ2bZtG6ZOnYpz584hISHBBaP1HGheCYLoilCQTBBEt2XatGlISEjA559/3uxn9fX18Pf3x8aNGzF9+nQXjM5zoXklCKIrQDXJBEF0WziOg16vt/mzI0eOAGiy7iXaB80rQRBdAapJJgiiW/Dss89i5syZiI2NRW1tLZYvX44dO3Zg06ZNOH/+PJYvX47rr78eYWFhOHbsGB577DFMnDgRQ4cOdfXQ3RqaV4IguioUJBME0S3QaDS4/fbbUVxcjKCgIAwdOhSbNm3Ctddei/z8fGzZsgXvv/8+6uvrERMTg7lz5+Lf//63q4ft9tC8EgTRVaGaZIIgCIIgCIKwgmqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMIKCpIJgiAIgiAIwgoKkgmCIAiCIAjCCgqSCYIgCIIgCMKK/weBYEQVihyGrgAAAABJRU5ErkJggg==", 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" ] @@ -972,16 +981,16 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.745388Z", - "iopub.status.busy": "2025-11-27T09:37:07.745174Z", - "iopub.status.idle": "2025-11-27T09:37:07.906816Z", - "shell.execute_reply": "2025-11-27T09:37:07.905938Z" + "iopub.execute_input": "2025-11-27T10:46:54.170766Z", + "iopub.status.busy": "2025-11-27T10:46:54.170572Z", + "iopub.status.idle": "2025-11-27T10:46:54.328338Z", + "shell.execute_reply": "2025-11-27T10:46:54.327639Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1015,16 +1024,16 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:07.908525Z", - "iopub.status.busy": "2025-11-27T09:37:07.908348Z", - "iopub.status.idle": "2025-11-27T09:37:08.065751Z", - "shell.execute_reply": "2025-11-27T09:37:08.064934Z" + "iopub.execute_input": "2025-11-27T10:46:54.330375Z", + "iopub.status.busy": "2025-11-27T10:46:54.330192Z", + "iopub.status.idle": "2025-11-27T10:46:54.486983Z", + "shell.execute_reply": "2025-11-27T10:46:54.486302Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1058,10 +1067,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.067450Z", - "iopub.status.busy": "2025-11-27T09:37:08.067278Z", - "iopub.status.idle": "2025-11-27T09:37:08.079231Z", - "shell.execute_reply": "2025-11-27T09:37:08.078598Z" + "iopub.execute_input": "2025-11-27T10:46:54.488913Z", + "iopub.status.busy": "2025-11-27T10:46:54.488744Z", + "iopub.status.idle": "2025-11-27T10:46:54.500804Z", + "shell.execute_reply": "2025-11-27T10:46:54.500229Z" } }, "outputs": [], @@ -1076,16 +1085,16 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.080807Z", - "iopub.status.busy": "2025-11-27T09:37:08.080657Z", - "iopub.status.idle": "2025-11-27T09:37:08.236705Z", - "shell.execute_reply": "2025-11-27T09:37:08.235866Z" + "iopub.execute_input": "2025-11-27T10:46:54.502305Z", + "iopub.status.busy": "2025-11-27T10:46:54.502161Z", + "iopub.status.idle": "2025-11-27T10:46:54.660247Z", + "shell.execute_reply": "2025-11-27T10:46:54.659480Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1135,16 +1144,16 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.238579Z", - "iopub.status.busy": "2025-11-27T09:37:08.238406Z", - "iopub.status.idle": "2025-11-27T09:37:08.346680Z", - "shell.execute_reply": "2025-11-27T09:37:08.345730Z" + "iopub.execute_input": "2025-11-27T10:46:54.662054Z", + "iopub.status.busy": "2025-11-27T10:46:54.661862Z", + "iopub.status.idle": "2025-11-27T10:46:54.770118Z", + "shell.execute_reply": "2025-11-27T10:46:54.769611Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1173,16 +1182,16 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.348396Z", - "iopub.status.busy": "2025-11-27T09:37:08.348230Z", - "iopub.status.idle": "2025-11-27T09:37:08.547647Z", - "shell.execute_reply": "2025-11-27T09:37:08.546585Z" + "iopub.execute_input": "2025-11-27T10:46:54.772204Z", + "iopub.status.busy": "2025-11-27T10:46:54.772027Z", + "iopub.status.idle": "2025-11-27T10:46:54.883666Z", + "shell.execute_reply": "2025-11-27T10:46:54.882902Z" } }, "outputs": [ { "data": { - "image/png": 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", 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ffiAhIeGKenT/y8vLyzaCaN7/Xu67kvd63ncrz6xZs1ixYkW+n0uxWCzcddddLFmyxPZeARYvXkyNGjXo1KkTkNtOAL/88stlb5m8mKVLl7JkyRKmTJlCrVq1OHfu3BWd57+8vLwAivQZXuzz69evX4HPr0+fPiWSU6SiKltDE4mIqQYPHsy0adNYtGgRL774IsePH2fNmjWMGjXKNrrUoUOH2Llz50ULpf8+k/XfEbyK6siRIwQFBVG5cuVL7rdu3TrGjx/Phg0bCjxXkZSUhK+vb5GuW6VKFfr06cP333/P+++/j5ubG4sWLcLJyYm7774byP0sgAIjnuXx8fG56PmPHTuGg4MDdevWzbc9ICCASpUqcezYMSD3/UPJjnzWq1cvAgMDWbhwIT169MBqtfLFF1/Qr1+/S/4Cl/d+LjX0/vkK+x7znF84AbY2Cw4OvuD2hISEfNsdHByoXbt2vm3169cHyPeHgl9++YU33niD7du357sl6kJFamG/v2+99RZDhw4lODiYVq1acdNNNzFkyBBbnrz3es011xQ4tkGDBqxduzbftrxnB8/n5+dX4D0XVl4heeutt9p+eQdo164dYWFhrF+//orOe76UlBTb9yfvfy/3XblY4XDdddfRunXrIl1/wIABTJ8+nZ9++olBgwaRkpLCkiVLePjhh21t27VrV+644w5effVVpk2bRrdu3bjtttsYNGgQrq6uhbrO9ddfD8CNN95Iv379aNKkCV5eXvkK+iuRVwxe6DPMKwb/62KfX82aNenZs2ex8ohIfuqpEpFCa9WqlW04cYAvvvgCwzDyDcpgtVrp1atXgb+C5v38t6fjagzje+TIEXr06MGpU6eYOnUqv/76KytWrOCpp56yZb4S9957L8nJyfzyyy9kZmby7bff0rt3b9svu3nn/eyzzy74Wfz444+XvUZpTgh8MY6OjgwaNIhvv/2W9PR0/vzzT2JiYi47RLyPjw9BQUHs3r27SNcr7Hv877DQl9tuXGCOnstZs2YNffv2xc3NjdmzZ7NkyRJWrFjBoEGDLni+wn5/7777bsLDw5k5cyZBQUG8/fbbNG7cmKVLlxY5I1z8PV+pvOG+q1evXuC1atWqXXGxlicrK4uDBw/aCmhfX18CAwPZuXPnJY/buXMnNWrUuOQfIAqrXbt2hIaG2p4L/fnnn0lLS2PAgAG2fSwWC9988w0bNmzg8ccfJzo6mvvvv59WrVrl6+EqrDp16tCyZcsLPqNYVHn/rvI+w4YNGwJc8jPMe60wvakiUjwqqkSkSAYPHszu3bvZuXMnixYtol69erbR+iD3l4iUlBR69ux5wZ//9jZcSFEKiTp16hATE8OZM2cuus/PP/9MRkYGP/30Ew8//DA33XQTPXv2LHZB17dvX7y9vVm0aBFLly4lISEhX4FZp04dIPeX0gt9FpeaHyokJASr1Wrr7cpz4sQJEhMTCQkJyXeNki5khgwZQnJyMj///DMLFy7E39+/ULcH3XLLLRw5coQNGzZcdt/CvseSYrVaC9wed/DgQeDfUdq+/fZb3NzcWL58Offffz833nhjif1FPzAwkMcee4wffviBiIgIqlSpwoQJEwBs7/XAgQMFjjtw4ECJfxb/1apVK4ALDmgRExNTrFt0Ab755hvS0tLyfYduueUWIiIiCvTC5VmzZg1Hjx7llltuKda1z3f33XezbNkykpOTWbx4MaGhobRr167Afu3atWPChAls2bKFhQsXsmfPHr788ssrumZaWtoV3WJ8vpSUFL7//nuCg4NtxVTe5/Lpp59e8JicnBwWLVqEn58fHTt2LNb1ReTyVFSJSJHkFQ3jxo1j+/bt+YoIyP2lZcOGDSxfvrzAsYmJiWRnZ1/2Gp6enrb9L+eOO+7AMAzbRLbny+tZyPur/vk9DUlJScyfP/+y578Ud3d3+vfvz5IlS5gzZw6enp7069fP9nqfPn3w8fFh4sSJF3w+4+TJkxc990033QTA9OnT823Pm/zz5ptvBqB37954e3szadIk0tPT8+17qZ6avIlcL/YZN2vWjGbNmvHRRx/x7bffcs899xRqMtvnnnsOT09PHnzwQU6cOFHg9SNHjjBjxowivceSdP6Q3oZh8N577+Hs7Gx7JtDR0RGLxZJvVMejR4/yww8/XPE1c3JyCvxSXa1aNYKCgmy3F7Zu3Zpq1arx/vvv57vlcOnSpezbt++KP4vCDql+zTXX0Lx5c3788cd8I+n99ttvREVF0atXryu6PsCOHTsYPXo0fn5+jBw50rb92Wefxd3dnYcffpjTp0/nO+bMmTM88sgjeHh48Oyzz17xtf9rwIABZGRk8Mknn7Bs2TLbrbp5EhISCvy7yZuA/FKj42VnZ1+wN+/vv/9m165dRb5V8XxpaWncd999nDlzhpdeesn2B5EOHTrQs2dP5s+fzy+//FLguJdeeomDBw/y3HPPaWJfkatAz1SJSJHkDSeed+vaf4uqZ599lp9++olbbrmFYcOG0apVK86dO8euXbv45ptvOHr0KFWrVr3kNerUqUOlSpV4//338fb2xtPTk7Zt217w+ZXrr7+e++67j3fffZdDhw5xww03YLVaWbNmDddffz2PP/44vXv3xsXFhVtvvZWHH36YlJQU5s6dS7Vq1YiNjS3W53Hvvffy6aefsnz5cgYPHmwrCCH3drg5c+Zw3333ce2113LPPffg7+9PZGQkv/76Kx07dsz3S/75mjdvztChQ/nwww9JTEyka9eu/P3333zyySfcdttttuc2fHx8mDZtGg8++CBt2rRh0KBB+Pn5sWPHDlJTU/nkk08ueH53d3caNWrE4sWLqV+/PpUrV6ZJkyb5ns0aMmQIzzzzjO19FkadOnVYtGgRAwYMoGHDhgwZMoQmTZqQmZnJ+vXr+frrrxk2bFiR3mNJcXNzY9myZQwdOpS2bduydOlSfv31V1588UVbT8zNN9/M1KlTueGGGxg0aBDx8fHMmjWLunXrXvZWtYs5e/YsNWvW5M4776R58+Z4eXnx+++/s3nzZqZMmQKAs7MzkydPZvjw4XTt2pWBAwdy4sQJ2zDtebeqFtXYsWP55JNPiIiIuOxgFdOmTaNXr1506tSJhx9+mKSkJKZOnUr9+vV59NFHC3W9NWvWkJ6eTk5ODqdPn2bdunX89NNP+Pr68v333xMQEGDbt169enzyyScMHjyYpk2b8sADDxAWFsbRo0eZN28ep06d4osvvrD1xpaEa6+9lrp16/LSSy+RkZGR79Y/gE8++YTZs2fTv39/6tSpw9mzZ5k7dy4+Pj62PwJcSEpKCsHBwQwYMIDGjRvj6enJrl27mD9/Pr6+vvzf//1fofJFR0fz+eef2865d+9evv76a+Li4nj66ad5+OGH8+3/6aef0qNHD/r168egQYPo3LkzGRkZfPfdd/z1118MGDCgRItSEbkEs4YdFJGyK2848euuu+6Cr589e9YYO3asUbduXcPFxcWoWrWq0aFDB+Odd94xMjMzDcP4d0j1t99++4Ln+PHHH41GjRoZTk5O+Yb7/e/Q4IaRO9z722+/bTRo0MBwcXEx/P39jRtvvNHYunWrbZ+ffvrJaNasmeHm5maEhoYakydPNj7++OMCw00Xdkj1868dGBhoAMaSJUsuuM+ff/5p9OnTx/D19TXc3NyMOnXqGMOGDTO2bNli2+e/Q6obhmFkZWUZr776qhEWFmY4OzsbwcHBxtixY4309PQC1/jpp5+MDh06GO7u7oaPj49x3XXXGV988YXt9Qt9buvXrzdatWpluLi4XHB49djYWMPR0dGoX79+oT+PPAcPHjRGjBhhhIaGGi4uLoa3t7fRsWNHY+bMmfnyF/Y9Xmy4aaDAUOUX+m4NHTrU8PT0NI4cOWL07t3b8PDwMKpXr26MHz8+39DxhmEY8+bNM+rVq2e4uroaDRo0MObPn3/B9rnQtc9/Le/zzMjIMJ599lmjefPmhre3t+Hp6Wk0b97cmD17doHjFi9ebLRs2dJwdXU1KleubAwePNg4fvx4vn3y3st/XShjYYdUz7NixQqjXbt2hpubm1G5cmXjvvvuM2JjYy97XN6Q6nk/zs7Ohr+/v9GlSxdjwoQJBaZNON/OnTuNgQMHGoGBgYazs7MREBBgDBw40Ni1a1eBffOGVC/OkOcvvfSSARh169Yt8Nq2bduMgQMHGrVq1TJcXV2NatWqGbfccku+f6sXkpGRYTz55JNGs2bNDB8fH8PZ2dkICQkxHnjggUJ/9nnTBgCGxWIxfHx8jMaNGxsjRowwNm3adNHjzp49a7zyyitG48aNDXd3d9u/tQULFuSbViHPpb63InLlLIZxBU/yiohIuXfq1CkCAwMZN25cof/Sbq+GDRvGN998c0WDDYiIiFyOnqkSEZELWrBgATk5Odx3331mRxEREbFreqZKRETy+eOPP9i7dy8TJkzgtttuu+yzOCIiIhWdiioREcnntddeY/369XTs2JGZM2eaHUdERMTu6ZkqERERERGRYtAzVSIiIiIiIsWgokpERERERKQY9EzVeaxWKzExMXh7e9tmLBcRERERkYrHMAzOnj1LUFAQDg6X7otSUXWemJgYgoODzY4hIiIiIiJ2Iioqipo1a15yHxVV5/H29gZyPzgfHx+T00BWVha//fYbvXv3xtnZ2ew4FZrawn6oLeyH2sJ+qC3sh9rCfqgt7EdZbYvk5GSCg4NtNcKlqKg6T94tfz4+PnZTVHl4eODj41OmvoDlkdrCfqgt7Ifawn6oLeyH2sJ+qC3sR1lvi8I8FqSBKkRERERERIpBRZWIiIiIiEgxqKgSEREREREpBj1TJSIiIiJiZ3JycsjKyjI7RonIysrCycmJ9PR0cnJyzI6Tj7OzM46OjsU+j4oqERERERE7kpKSwvHjxzEMw+woJcIwDAICAoiKirK7uWAtFgs1a9bEy8urWOdRUSUiIiIiYidycnI4fvw4Hh4e+Pv7210RciWsVispKSl4eXlddhLdq8kwDE6ePMnx48epV69esXqsVFSJiIiIiNiJrKwsDMPA398fd3d3s+OUCKvVSmZmJm5ubnZVVAH4+/tz9OhRsrKyilVU2de7EhERERGRctFDVRaU1OesokpERERERKQYVFSJiIiIiIgUg4oqERERERGRYlBRJSIiIiIixRYdHc29995LlSpVcHd3p2nTpmzZsuWi+y9YsACLxYLFYsHR0RE/Pz/atm3La6+9RlJSUoH9o6KiuP/++wkKCsLFxYWQkBCefPJJTp8+nW+/bt262c57/k92dnaJv+c8KqpERERERKRYEhIS6NixI87OzixdupS9e/cyZcoU/Pz8Lnmcj48PsbGxHD9+nPXr1/PQQw/x6aef0qJFC2JiYmz7hYeH07p1aw4dOsQXX3zB4cOHef/991m5ciXt27fnzJkz+c47YsQIYmNj8/04OZXewOcaUl1ERERERIpl8uTJBAcHM3/+fNu2sLAwIHdI9YuxWCwEBAQAEBgYSMOGDbn11ltp3Lgxzz33HJ9//jkAI0eOxMXFhd9++8021HytWrVo2bIlderU4aWXXmLOnDm283p4eNjOezWoqBIRERERsWOtb/qAuJMpV/26Af5ebFnycKH2/emnn+jTpw933XUXq1atokaNGjz22GOMGDGiyNetVq0agwcP5uOPPyYnJ4ekpCSWL1/OhAkTCszdFRAQwODBg1m8eDGzZ882bSh6FVUiIiIiInYs7mQK0XFnzY5xSeHh4cyZM4cxY8bw4osvsnnzZkaNGoWLiwv33Xdfkc/XoEEDzp49y+nTp4mIiMAwDBo2bHjBfRs2bEhCQgInT56kWrVqAMyePZuPPvrIts/DDz/MlClTruzNFYKKKikRqWmZvPvxJg6Gn+bG6+tx582NNGmdiIiISAkI8Pey++tarVZat27NxIkTAWjZsiW7d+/m/fffv6KiyjAMIP/kvHnbCmPw4MG89NJLtvVKlSoVOUNRqKiSYjMMg/4PLua31UcAmP/Vdh64pyUfTr4VBweNhSIiIiJSHIW9Bc9MgYGBNGrUKN+2hg0b8u23317R+fbt24ePjw9VqlTBwcEBi8XCvn376N+//wX39fPzw9/f37bN19eXunXrXtG1r4R+45ViW/LHIVtBlWfel//w3oK/TUokIiIiIldTx44dOXDgQL5tBw8eJCQkpMjnio+PZ9GiRdx22204ODhQpUoVevXqxezZs0lLS8u3b1xcHAsXLmTAgAGm3iWlokqKxTAMXp+xyrbe/4YGtuXnJ/5OVEzBOQZEREREpHx56qmn2LhxIxMnTuTw4cMsWrSIDz/8kJEjR17yOMMwiIuLIzY2ln379vHxxx/ToUMHfH19efPNN237vffee2RkZNCnTx9Wr15NVFQUy5Yto1evXtSoUYMJEyaU9lu8JBVVUixbd8aw6Z9oAJo2qMY3H9zNE8OvAyA9I5s33l1tZjwRERERuQratGnD999/zxdffEGTJk14/fXXmT59OoMHD77kccnJyQQGBlKjRg3at2/PBx98wNChQ/nnn38IDAy07VevXj22bNlC7dq1ufvuu6lTpw4PPfQQ119/PRs2bKBy5cql/RYvSc9USbF89cse2/Ljw64jMyeT8U9145NvdpB8NoN5X27juUc6UifU3C+6iIiIiJSuW265hVtuuaXQ+w8bNoxhw4YVev+QkBAWLFhw2f3++uuvQp+zpKinSq6YYRh8/eteAByqxzLx6CN4vBTKPV8PZdjw3MnecnIMps/baGZMEREREZFSpaJKrtg/u2M5GpUIQKeGTalTNfdBxJWH1/BV2kTc/TIAWPD1dpKS082KKSIiIiJSqlRUyRVbsSbctnxPr7b8NuIretXrCsCJlHiq3rAJMEg5l8mCr7ebE1JEREREpJSpqJIr9uf6CNtyj05hODo48vnAWdT0DQLgOHshKBKAmfM3YbVaTckpIiIiIlKaVFTJFcnMzGbt5tyCKai6N/XCqgDg71WVd24Zb9vPs8MWsFg5ciyBJX8cMiWriIiIiEhpUlElV2TzjhjOpWZBvd1c0ymVrJws22t3NetLp9C2AKQ6n4SauT1a7368yZSsIiIiIiKlSUWVXJG1myPBKRNarucvl1lcO6On7TWLxcK4Xk/b1t2a7QNyn8HaezD+qmcVERERESlNKqrkimzZGQMB0Vgcc5+T6lq7Q77Xe9TtTOPq1wCQ4XMcKucWUzPn/311g4qIiIiIlDIVVXJFNu+IhurHbes3NeiR73WLxcKoTiMAaF2jBW7uuV+1T7/dQUJi2tULKiIiIiJSylRUSZGdPH2OY8eTICC3qHJycKJLWPsC+w1ueTvrR/7K308u44GeNwKQmpbFx4v/uap5RURERERKk4oqKbKtO2PALRWLTxIAbWtdi7ebV4H9PFw8aBfSCoAnhre1bX/vk7/JydHw6iIiIiLlxZw5c2jWrBk+Pj74+PjQvn17li5desljXnnlFSwWCxaLBScnJ6pWrUqXLl2YPn06GRkZBfbfs2cPd999N/7+/ri6ulK/fn3GjRtHampqvv1CQ0Nt5837qVmzZom+3/9SUSVFtmVnDFQ5YVvvGHrdZY+5pk5VbuhWF4CjUYn8vOJAqeUTERERkaurZs2avPnmm2zdupUtW7bQvXt3+vXrx549ey55XOPGjYmNjSUyMpI///yTu+66i0mTJtGhQwfOnj1r22/jxo20bduWzMxMfv31Vw4ePMiECRNYsGABvXr1IjMzM995X3vtNWJjY20///xTundKOZXq2aVc2rU/Hqr+W1S1q9XqsscYhsH1/VxYti8aTtTg3fmbuO2GhqUZU0RERESukltvvTXf+oQJE5gzZw4bN26kYcOL/87n5OREQEAAAEFBQTRt2pRevXrRvHlzJk+ezBtvvIFhGDzwwAM0bNiQ7777DgeH3H6hkJAQ6tevT8uWLZk2bRrPP/+87bze3t62814NKqqkyPYeOgk1/i2q2ta69pL7J6Qm0v2DO9gRuwfXttXJ+Ok2/lx/lF37TtC0YfXSjisiIiJS5k1d/T7T1nxw2f2uDWrKj8M/zbet3/whbIvZddljn+r8MGO6PHLFGfPk5OTw9ddfc+7cOdq3L/jc/eU0aNCAG2+8ke+++4433niD7du3s3fvXhYtWmQrqPI0b96cnj178sUXX+Qrqq42FVVSJNnZOeyPiIdmJwEI8atJoM+lC6NK7r64ODkDkOl5Avxj4WQQ787fxNy3+pZ6ZhEREZGyLjn9LNFJsZfdL9g3qMC2k+dOF+rY5PSzl93nUnbt2kX79u1JT0/Hy8uL77//nkaNGmG1Fv1Z+gYNGvDbb78BcPDgQYCL9ng1bNiQtWvX5tv2/PPP8/LLL9vWJ06cyKhRo4qco7BUVEmRHD56hmzSIbIOfiGpXF+nw2WPsVgsjOo4gvu+HAmAU+M9ZP8VxOff7eTNsT2p4udR2rFFREREyjQfN29q+AZedj9/zyoX3FaYY33cvK8oW55rrrmG7du3k5SUxDfffMPQoUNZtWoVDRo0KPK5DMPAYrEU2FZYzz77LMOGDbOtV61atcgZiqLMFFU5OTm88sorfP7558TFxREUFMSwYcN4+eWXbR+4YRiMHz+euXPnkpiYSMeOHZkzZw716tUzOX35sffQSch0g03XM6pjN8bf3a1Qx93V7Fae+/U1Ys+ewBoYDp7JpJ/z4aMvtvH8Y51KN7SIiIhIGTemyyNXfGvef28HLC0uLi7UrZs7MFmrVq3YvHkzM2bMYM6cOUU+1759+wgLCwOgfv36tm0tW7a84L55++SpWrWqLcvVUGZG/5s8eTJz5szhvffeY9++fUyePJm33nqLmTNn2vZ56623ePfdd3n//ffZtGkTnp6e9OnTh/T0dBOTly97D560LTeq51/o41ycXHi0wzAADAws9XNHgpn1yd9kZ+eUaEYRERERMZ/Var3g0OiXs3//fpYtW8Ydd9wBQIsWLWjQoAHTpk0rcCvhjh07+P333xk4cGCJZL5SZaaoWr9+Pf369ePmm28mNDSUO++8k969e/P3338Dub1U06dP5+WXX6Zfv340a9aMTz/9lJiYGH744Qdzw5cjB8JP25Yb1i1aN+rDbe/D1ckVAKf6B8Api6iYZH5Yvr9EM4qIiIjI1TV27FhWr17N0aNH2bVrF2PHjuWvv/5i8ODBlzwuOzubuLg4YmJi2LVrFzNnzqRr1660aNGCZ599Fsh9lGTevHns3buXO+64g7///pvIyEi+/vprbr31Vtq3b8/o0aOvwru8uDJz+1+HDh348MMPOXjwIPXr12fHjh2sXbuWqVOnAhAREUFcXBw9e/a0HePr60vbtm3ZsGED99xzT4FzZmRk5Kuek5OTAcjKyiIrK6uU39Hl5WWwhyx5DkWcBqdMyHahVg3vImWr5OrLPc368cm2r8h2SIfQA3C4CTPmbaRf7/qXP4GJ7LEtKiq1hf1QW9gPtYX9UFvYj7LaFllZWRiGgdVqvaIBHsxy4sQJhgwZQmxsLL6+vjRr1oylS5fSo0cP27NQee8rj2EY7Nmzh8DAQBwdHfH19aVRo0a88MILPPLII7i6utr2b9euHevXr+e1117jxhtv5OzZs9SqVYshQ4bwwgsv4OzsXODchfn8rFYrhmGQlZWFo6NjvteK8t2xGEV54stEVquVF198kbfeegtHR0dycnKYMGECY8eOBXJ7sjp27EhMTAyBgf8+iHf33XdjsVhYvHhxgXO+8sorvPrqqwW2L1q0CA8PDZ5wIfeO+5tzfebhkOrD7fU7MjjktiIdH3EuijHb3wDAKdWPrB/vBixMef4a6gTrMxcREZGKLW/epuDgYFxcXMyOU+5lZmYSFRVFXFwc2dnZ+V5LTU1l0KBBJCUl4ePjc8nzlJmeqq+++oqFCxeyaNEiGjduzPbt2xk9ejRBQUEMHTr0is45duxYxowZY1tPTk4mODiY3r17X/aDuxqysrJYsWIFvXr1wtnZ2ew4JCWnk+KwBAtg9UimSg1/brrppiKf58eklayK2EC2R4JtePVtB1144uGin+tqsbe2qMjUFvZDbWE/1Bb2Q21hP8pqW6SnpxMVFYWXlxdubm5mxykRhmFw9uxZvL29C4zoZ7b09HTc3d3p0qVLgc877y62wigzRdWzzz7LCy+8YLuNr2nTphw7doxJkyYxdOhQ24zJJ06cyNdTdeLECVq0aHHBc7q6uuLq6lpgu7Ozs13947OXPJExJ8EnybbesHr9K8o1puujVPf2Z0TrYdy5ZBWJZPDVL3t4+6XeBFYv3lCepc1e2kLUFvZEbWE/1Bb2Q21hP8paW+Tk5GCxWHBwcCgw0W1ZlXcbXt77sicODg5YLJYLfk+K8r2xr3d1CampqQUawdHR0dZIYWFhBAQEsHLlStvrycnJbNq06YpmcpaCDh89A96JtvVr/Otc0XlubdSbL+/9kB4NOvDIvW0AyMqyMvvTzSURU0RERETkqiozRdWtt97KhAkT+PXXXzl69Cjff/89U6dOpX///kBu5Tt69GjeeOMNfvrpJ3bt2sWQIUMICgritttuMzd8OZFbVP3bU1Xfv3axzzlyaBucnHK/hu9/voW0tLL1MKmIiIiISJm5/W/mzJn83//9H4899hjx8fEEBQXx8MMPM27cONs+zz33HOfOneOhhx4iMTGRTp06sWzZsnJzP6rZjhxLAJ9EAFwcXKhVqWaxz1kz0Jc7b27Ilz/t4tSZVBb+sJMHB7Yq9nlFREREyrIyMpZcmVdSn3OZ6any9vZm+vTpHDt2jLS0NI4cOcIbb7yRb1QUi8XCa6+9RlxcHOnp6fz+++8FZleWK3fo6Cnwyu2pqlMlFEcHx8sccWkZ2Rl8uvUrtteYBdfsBGD6Rxv1HxERERGpsPKG9c7MzDQ5ScWQ9zn/dzj1oiozPVVivgNxR7HUzn2GrUH1usU+37GE4wxbPAoA1yaVyDjQjD0HT/L7mnB6dbmy57VEREREyjInJyc8PDw4efIkzs7Odjeww5WwWq1kZmaSnp5uV+/HarVy8uRJPDw8cHIqXlmkokoKJTUtk/jMaPIGwaxXtfjPU9X3r8NNDXqwZP9KMp0ToWYERNVh+ryNKqpERESkQrJYLAQGBhIREcGxY8fMjlMiDMMgLS0Nd3d3uxtS3cHBgVq1ahU7l4oqKZTwYwn5Bqm40pH//mtUpxEs2Z87YqNr071kRNVhyR+H2H/4JA3q+pfINURERETKEhcXF+rVq1dubgHMyspi9erVdOnSxe6Gt3dxcSmR3jMVVVIoh4+egYj6GKf96X93IN3qdCiR8/aq15XG1a9hz4kDZPpGQ+UTcKY67368idkTbymRa4iIiIiUNQ4ODuVmsDVHR0eys7Nxc3Ozu6KqpNjPTY1i1w4fPQNZrnA6gDsa9iesckiJnNdisfBkp4ds606NdwPwyTc7OJOQWiLXEBEREREpTSqqpFAOHztjW64bWrlEzz342tup6pl7TmvNI+CRQmpaFnO/2Fai1xERERERKQ0qqqRQjhxLsC2XdFHl7uzOI+2GAmBgxVI/t7dq5vxNZGXllOi1RERERERKmooqKZQD0VFQbzeedWM5x5nLH1BEj3UYjotj7pxjztccAKcsouPO8u2SvSV+LRERERGRkqSiSi4rIyOb42kRWFqvJbXNj8zesKDErxHgXY1BLfvjYHGgQ8324JwBwDRNBiwiIiIidk5FlVzW0eOJGJ7/Dqdeu4QGqfiv8b2e4fDzG/njyYU0D8sdsv3v7dFs3Ha8VK4nIiIiIlISVFTJZR05dga8km3rtauUTlEV4hdMaOXcyddGP9DOtn3aRxtK5XoiIiIiIiVBRZVc1uGjZ8DzrG29TikVVecb2K8p1ap6AvDtkn0cO55Y6tcUEREREbkSKqrksg4fPQPeubf/OVocCfatUerXtDha6XRnOviewWo1eG/B36V+TRERERGRK6GiSi7r0NHTtp6qmj5BODk6ler1/oneRdikNnyfNAuHxjsAmPvFVlLOZZTqdUVEREREroSKKrmsIzGxWFwyAajrH1bq16vvX5uMnNzrWWodBrdzJCVnsODr7aV+bRERERGRolJRJZdktVo5mhRpWy+tQSrO5+niyUNt78u9viUH6u0BYMa8TeTkWEv9+iIiIiIiRaGiSi4pLj6FLJdE23rtyrWuynVHdhiOk0PubYYuDfeDYzaHj57h5xUHrsr1RUREREQKS0WVXFJEVCJYHTASquCMK3WqhF6V69bwDWRA834AZDmmQuhBAKZ8qOHVRURERMS+qKiSSwqPTIDjtWHZXUyq+wX9m9x01a49uvNDtmXXpnsAg7WbI/n7H00GLCIiIiL2Q0WVXFJEVIJtuXYtPxwdHK/atVvVbE7nsNxJgDPdT0NgFABT56q3SkRERETsh4oquaSIyETbcu0Qv6t+/ac6P2xbdmm6G4BvluzVZMAiIiIiYjdUVMklhUf+21MVFnz1i6pbG/WmXtXaAGRXOQ4eZ8nJMZgxb+NVzyIiIiIiciEqquSSDp0Mh5u+xKXHcr7Z991Vv76jgyMvdn+SJzs9xN+P/IlbTm5h99GX20hKTr/qeURERERE/ktFlVxURkY2cWkxWHwTyaoWwcFT4abkGNp6ANP6vkar2tcw9K7mAJxNyWTuoq2m5BEREREROZ+KKrmoyJgkDM9k23rtyqU/8e/lPPVge9vyjI83kZWVY2IaEREREREVVXIJEZEJ4GVfRdU1dapyY8/a4JjN8dhkvv5lj9mRRERERKSCU1ElFxX+n6KqThVzi6rEtCTe/HMmm4Pfgnq5IwFOmbsBwzBMzSUiIiIiFZuKKrmoiKhEW1HlaHGkpm+QqXniU07x0rKJnE4/hUuTveCQw7ZdsazeeMzUXCIiIiJSsamokosKjzpjK6pqeAfh5Ohkap76/nXo1+gGALKck6HWEQCmfLjezFgiIiIiUsGpqJKLOnQ8GotzFgD1qoWZnCbX010ftS07N90FGPz8+0EOHDllXigRERERqdBUVMlFRSRE2ZbrVAk1L8h5OoS0oV2tVgBke52EgOMATPtog5mxRERERKQCU1ElF5SUnE6ycdK2XrtKLRPT/MtiseTrrXJsvBOAT77ewcnT58yKJSIiIiIVmIoquaCIqAQ4XQ3j7y40sfahS1j7yx90ldzW+EZbz5m1WhRUOkV6RjZzPttsbjARERERqZBUVMkFRUQmwjkfONKIu4Pvp11IK7Mj2Tg6OPJU54dt65aGub1Vsz7ZTHp6llmxRERERKSCUlElFxQemWBbDqvlZ2KSCxvWegBVPCoDYAk5DO4pxJ86x8IfdpmcTEREREQqGhVVckERUecVVcGVzAtyER4uHjzafijerl4MbDgIrI4ATNVkwCIiIiJylamokgs6EnUaqkWDx1lCavqYHeeCnu7yKJEvbuPz+9+hU7NrANh78CTL/jpscjIRERERqUhUVMkFHTxxFEuPn7H0W8jTvz9vdpwL8nX3wdc9t+B7+qF/B9LQZMAiIiIicjWpqJICDMPgePK/c1SF2clw6pdya69rqBOS++zXyrURbN8Ta3IiEREREakoVFRJAXHxKWS6JtrWa1cOMS9MISWmJ9LotiioEQHA2++rt0pERERErg4VVVJAeGQCeCXb1u29qIo4c4yQia34Jf5znFpsAwwW/7ybY8cTzY4mIiIiIhWAiiopICIqATzP2tbDKtv37X+hfrVoEtAAgByfk1A9mpwcg+kfbTQ5mYiIiIhUBCqqpIDwyH+LKgccqOkbaHKiS7NYLDzd9VHbumPj3MmA536xlYTENLNiiYiIiEgFoaJKCoiITLQVVdU8q+Hi5GJuoELo3/gmW4+atXokVDrNudQs5ny22eRkIiIiIlLeqaiSAg4fj8Pilg5A7TIw8h+Ak6MTozs/ZFu3NMjtrXp3/ibS07PMiiUiIiIiFYCKKing8KlI23Jdf/sepOJ8w1sPxM+9EgCW0MPgnsKJk+f47Lud5gYTERERkXJNRZXkk5WVw4mUkxjW3K9GiF+wyYkKz8vVk0faDwXAsORA/d0AvPPBeqxWq5nRRERERKQcU1El+UTHJWPE1oCvHuSG5Fd4rP1wsyMVyRMdH8DFMfcZMKcG+8Epk4Php/nptwMmJxMRERGR8kpFleRzNG9uJ8OBhkFhVPf2NzVPUQV4V+Pea+8EwMXZAfxOAfD2B5oMWERERERKh4oqyedoVKJtOTS4kmk5iuOZro/yzi2vEDNuO439mgOwfksU6zZHXuZIEREREZGiU1El+RyLTrIth9asZF6QYmhQrR5jujyCr7sPzz7S0bb97ffXmZhKRERERMorFVWSz9GoRGj7JzTfyN7Msn/L3MB+TagR4A3ATysOcODIKZMTiYiIiEh5o6JK8jkcHYel9gEsjbbzS8QPZscpNhcXJ0YMawxeSRgGTPmw7BeKIiIiImJfVFRJPhFnyuYcVReSnH6Wkd+/wFvRj+DUNreY+uSbHcTFnzU5mYiIiIiUJyqqxCY7O4e4c7G29dDKtUxMU3wezu4s2f87adnp5FQ7Br5nyMzMYeb8v82OJiIiIiLliIoqsYk5cZYc92TbemgZmvj3QpwcnRjd+WHbukPDnQDM/mwzZ1MyzIolIiIiIuWMiiqxOXY8CTzLT1EFcH/rgVRy9wXAEnoI3M6RmJTOvC+3mZxMRERERMoLFVVic/R4Inj++7xRaOWyX1R5u3nxcLshAFgtOVB/NwDTPtpIVlaOmdFEREREpJxQUSU2x44nglduUeVocaSGT6C5gUrIEx0ewNnRGQDnhvvBKYvI6CS++mWPyclEREREpDxQUSU25/dUBXgG4OToZG6gEhLkG8DglrcDkO2QBrX3AbmTARuGYWY0ERERESkHVFSJzaHoWCwumQCEVSnbI//915guj9iWXZvuBYuVHXtP8PuacBNTiYiIiEh5oKJKbKJiEzEONsbxRCjd6rYzO06JahLQkBuv6Q5Apksi1DoCwFvvrzMxlYiIiIiUByqqBACr1crxY5mwtTMNY4bwWp/nzY5U4p7tNpLgSjWYcstrhDm0AOD3NeH8szv20geKiIiIiFyCiioBIPZECllZVgBCa1YyN0wp6Vq7A4ef38hTXR7i2Qe72ba/88F680KJiIiISJmnokoAOBadaFsODa5kWo7SZLFYbKMADrurBVUrewCw+OfduSMfioiIiIhcARVVAsDRqERwzAIMQmpUMjlN6XN3d+bxYdcBBjk5BtM+2mB2JBEREREpo1RUCfC/4dR7/QB3fsycEy+U+6HGD5+KIKL6jzh2XgnA3EXbOJOQanIqERERESmLVFQJ8O8cVRbnLLIsaVgsFrMjlRqr1UqvuXfx6fYvsNY8DD5nSE3LYvanm82OJiIiIiJlkIoqAeBwOZ6j6r8cHBx4stNDtnVLo+0AvDt/E2lpWSalEhEREZGyqkwVVdHR0dx7771UqVIFd3d3mjZtypYtW2yvG4bBuHHjCAwMxN3dnZ49e3Lo0CETE5cdR04fsy3X8w8xMcnV8eB1g6ns4QeAJfQweJzl5OlU5n/1j8nJRERERKSsKTNFVUJCAh07dsTZ2ZmlS5eyd+9epkyZgp+fn22ft956i3fffZf333+fTZs24enpSZ8+fUhPTzcxuf0zDIPYc//O1RRWpfwXVV6unozsMBwAw2KFBjsAePuD9WRn55gZTURERETKGCezAxTW5MmTCQ4OZv78+bZtYWFhtmXDMJg+fTovv/wy/fr1A+DTTz+levXq/PDDD9xzzz0FzpmRkUFGRoZtPTk5GYCsrCyyssy/DSwvQ2lniTuZQpZLInlPUQX7BNrF+y9tj1w3lHdWzSYtKx3HegfI2d2Ko1Gw6IedDOzXJN++V6st5PLUFvZDbWE/1Bb2Q21hP9QW9qOstkVR8lqMMjLMW6NGjejTpw/Hjx9n1apV1KhRg8cee4wRI0YAEB4eTp06dfjnn39o0aKF7biuXbvSokULZsyYUeCcr7zyCq+++mqB7YsWLcLDw6PU3ou9ORBxjuf/+hhL/d0ATGr6HA186pic6ur4KHwxv8b+AYCxqxXsbkNIkBvTxzYo14N1iIiIiMilpaamMmjQIJKSkvDx8bnkvmWmpyo8PJw5c+YwZswYXnzxRTZv3syoUaNwcXFh6NChxMXFAVC9evV8x1WvXt322n+NHTuWMWPG2NaTk5MJDg6md+/el/3groasrCxWrFhBr169cHZ2LrXrpPyyFzzP2tbvuekugnwCSu169qRxQjOWT+1MtjUbp4Z7yd7fgmMx4OBxDTdeX9e239VqC7k8tYX9UFvYD7WF/VBb2A+1hf0oq22RdxdbYZSZospqtdK6dWsmTpwIQMuWLdm9ezfvv/8+Q4cOvaJzurq64urqWmC7s7OzXTV4aec5HnvWVlQ5W5wJ9quBg0OZedyuWOpWC2Ngi9v4bNs35DilQZ19cKAZUz7cSN/eDQvsb2/fjYpMbWE/1Bb2Q21hP9QW9kNtYT/KWlsUJWuZ+c05MDCQRo0a5dvWsGFDIiMjAQgIyO1ZOXHiRL59Tpw4YXtNLiwiMsFWVAV6BVaYgirPs91GAhDqF0yQbzUAVm86xvotkWbGEhEREZEyosz89tyxY0cOHDiQb9vBgwcJCckdqS4sLIyAgABWrlxpez05OZlNmzbRvn37q5q1rDkWkwi/9cf460Ze7/mi2XGuuiYBDVn50DccfG4DEwY8bNs+efY6E1OJiIiISFlRZoqqp556io0bNzJx4kQOHz7MokWL+PDDDxk5MreXwWKxMHr0aN544w1++ukndu3axZAhQwgKCuK2224zN7ydO3Y8CZIr455Qh3vb9TM7jimur9sJJ0cnBt3WlJqBuc/T/bTiAHsOxJucTERERETsXZkpqtq0acP333/PF198QZMmTXj99deZPn06gwcPtu3z3HPP8cQTT/DQQw/Rpk0bUlJSWLZsGW5ubiYmt2+GYXA0KhGAkJqVKvyIdy4uTowZ8W/P5lvvq7dKRERERC6tzBRVALfccgu7du0iPT2dffv22YZTz2OxWHjttdeIi4sjPT2d33//nfr165uUtmw4dSaVtPRsAEJq+Jqcxj507e2D+7U7AINFP+wiMjrR7EgiIiIiYsfKVFElJe9oVCIERkLoQdxqniIjO+Oyx5Rnzy95nTaze5J+zQbwjyU728rUuRvMjiUiIiIidkxFVQV39Hgi1NuNpf0f/GSdTEJaktmRTNU8sDF582E7NtkOwNxF2zh1JtXEVCIiIiJiz1RUVXDHjieC1//mqHJwobqXv7mBTHZ3s76E+gUDYA2IhEqnSE3LYvanW0xOJiIiIiL2SkVVBRcRdd4cVZ6BFX6gCidHJ57p+pht3aHxdgBmf7qFtIwck1KJiIiIiD1TUVXBHY6NweKUO1BFWOVgk9PYh+Ft7sHfs0ruSvAR8EriTGIaK9afNjeYiIiIiNglFVUVXMTpKNtyveohJiaxH+7O7jzZ+SEADIsBDXYA8NMf8WRmqrdKRERERPJTUVXBxaTE2pZD/NRTleex9sPwdvUCwLHuQXBL5VRCFl/+vMfkZCIiIiJib1RUVWDJZ9M5ZzljW69VqYaJaexLJXdfHmp7HwBWSzZcswuAdz7YgNVqNTOaiIiIiNgZFVUVWFRMMnicta2H+NU0MY39earzw7g4ugDgXTseMNh/+BQ/rzhobjARERERsSsqqiqwyJgk8Eyxrauoyi/IN4BXez/LV/fOZcFNC4DckREnzVpjm8tKRERERMTJ7ABinsjoJMhwwzjnhbNXOkE+AWZHsjvPX/8EAJkNMqkV6EZkbDqb/olm9cZjdG0fam44EREREbEL6qmqwCKjk2BzV/jpXn64YSXOjs5mR7JbFouFO3pXt61PnrPWxDQiIiIiYk9UVFVgkTFJtuWwmpVNTFI2dLrWj6D6mWCxsvTPw2zfE3v5g0RERESk3FNRVYFFRv9bVAUH+ZiYxP7tiNnDpAOziG31MdQMB2DSe+qtEhEREREVVRXasehEACpXcsfL09XcMHbuVOoZtibkDqvu3GwnYPD1r3s4GH7K3GAiIiIiYjoVVRVUTo6VKKet0PN7jPYr2BS5zexIdq17nU7U8awFQLZPPAQcxzBg8ux1JicTEREREbOpqKqgYuPPYvU+g8X/BImVdnMmNcHsSHbNYrFwe80bbOtOTXcA8Om3O4g679k0EREREal4VFRVUJHRmqOqqNpWaUndKmEA5FQ9DpVPkJ1tZcqH601OJiIiIiJmUlFVQeUWVWdt67Uqqai6HEeLA093fvTf9aY7Afhw4VZOnj5nViwRERERMZmKqgoqMiYJPHKLKi8nb7xcPU1OVDYMbnk7gd6581VZg8LBO4G09GxmzNtocjIRERERMYuKqgrq6PEE8MjtXQnyDjI5Tdnh6uTK6M4P/W/NwKFx7rNV733yN0nJ6eYFExERERHTqKiqoA7FRWJxMAAIq6xb/4ri4XZD8HX737xeoQfBPYWk5AzmfLbZ3GAiIiIiYgoVVRXU0YTjtuX61UPNC1IG+bh583jHB7guuCWzbpyBJcMLgKlzN5CalmlyOhERERG52lRUVVCxKbG25ZDKwSYmKZvG9RzDhseX8Ej3u7j75sYAnDydyseL/zE5mYiIiIhcbSqqKqCzKRmcs5yxrdeqVMPENGWTs6MzFosFgLGPd7Ztf2vOOjIzs82KJSIiIiImuKKiKjIykjVr1rB8+XK2bdtGRkZGSeeSUhQZnQRxNTG2t6V+TheaBjQ0O1KZ1rxRADf3qAcYRMUks+iHXWZHEhEREZGrqNBF1dGjR3n++ecJCQkhLCyMrl27cuONN9K6dWt8fX3p1asXX3/9NVartTTzSgmIjEmCM9VgX0vuCniEa6rVNTtSmWUYBn8dWUd808XQZAsAb85eS06O/h2IiIiIVBSFKqpGjRpF8+bNiYiI4I033mDv3r0kJSWRmZlJXFwcS5YsoVOnTowbN45mzZqxebNGQbNnkdFJtuVaNXxNTFL2xSafoNfcu9ly4m+cG+0Fp0wOHDnN98v2mR1NRERERK4Sp8Ls5OnpSXh4OFWqVCnwWrVq1ejevTvdu3dn/PjxLFu2jKioKNq0aVPiYaVk5CuqglRUFUeQbwD3tryDT7Z+RbZjGtTbA/taMvG9NdxxUyPbc1ciIiIiUn4Vqqdq0qRJFyyoLuSGG27g9ttvL1YoKV0RMaeg0ilwzlBPVQl44fpRtuLJufEecMzmn91xLP/rsMnJRERERORqKPJAFWlpaaSmptrWjx07xvTp01m+fHmJBpPSc+DkYSw3foPlzvlM/Wey2XHKvGuq1eXOprcAkO2cArX3AzDxvTVmxhIRERGRq6TIRVW/fv349NNPAUhMTKRt27ZMmTKF2267jTlz5pR4QCl5x5Ojbcu1KgeZmKT8GNv9Sduyc9Od4JDDmr8jWfv3MRNTiYiIiMjVUOSiatu2bXTunDsvzzfffEP16tU5duwYn376Ke+++26JB5SSlZNj5VRGvG1dc1SVjBZBTbi5QU8Asl2TIfQQAJNmrTUzloiIiIhcBUUuqlJTU/H29gbgt99+4/bbb8fBwYF27dpx7Jj+Km/v4uJTsLon29ZD/GqamKZ8ebHHaNuyc9MdYLGy5I9DbN8Ta14oERERESl1RS6q6tatyw8//EBUVBTLly+nd+/eAMTHx+Pj41PiAaVkRcYkgUeKbV1FVclpH9Ka6+t0BCDbIwGCwwGY9J56q0RERETKsyIXVePGjeOZZ54hNDSUtm3b0r59eyC316ply5YlHlBK1rHjieB5FgALFmr4BJobqJx5sftoADqFtMXPuSoAX/+6h4Php0xMJSIiIiKlqchF1Z133klkZCRbtmxh2bJltu09evRg2rRpJRpOSl5kTBJ45vZU+blUwcXJxeRE5Uv3up3YPGo5q0f+yPN33wmAYcDk2etMTiYiIiIipaXQRVWtWrV4/PHH+e2336hatSotW7bEweHfw6+77joaNGhQKiGl5IQfP4nFLQ2AGj4a+a+kWSwWWtVsDsCj97XG18cVgE+/3UFkdKKJyURERESktBS6qPrss89wdXVl5MiRVK1alQEDBrBw4UISExNLMZ6UtIMn/h1MpHaVYBOTlH8+3m48MawtANnZVt5+f73JiURERESkNBS6qOratStTpkzh0KFDrFu3jhYtWjBz5kwCAgLo3r0706dPJzw8vDSzSgmITIixLdcPCDUvSAVgGAZNr0/Hqc1GAD76Yhtx8WdNTiUiIiIiJa3Iz1QBNG7cmLFjx7Jx40YiIiIYOHAgK1eupEmTJjRp0oRff/21pHNKCTlzoDLG1/cT9M8DPNZhmNlxyrXBix7lnq/uJ6fudqgaS3pGNlPnbjA7loiIiIiUsCsqqs4XGBjIiBEj+Pnnnzl16hSvv/46rq6uJZFNStjZlAwSktIh24W6leoS4qfb/0pT72u62ZYdmv4DwOxPN3M6IdWkRCIiIiJSGpyu9MD4+Hji4+OxWq35tvfv37/YoaR0RMUk2ZZr1fA1MUnFMLjlHby64h2OJRzHCIgEv5OcS/BnxryNvPZMd7PjiYiIiEgJKXJP1datW2nSpAmBgYE0a9aMFi1a2H40T5V9i4w+r6gKUlFV2pwdnXm260jbuqVJbm/Vu/M3kZScblYsERERESlhRS6q7r//furXr8/69esJDw8nIiLC9qOBKuxbZEwSNNsEjbZx2muP2XEqhPvbDCTAu1ruSo0I8EkgKTmDWZ/8bW4wERERESkxRS6qwsPDeeutt2jbti2hoaGEhITk+xH7FRGVAA13YGn+NyvOfG12nArBzdmNMV0eyV2xGFga5/ZWTZ27gXOpmSYmExEREZGSUuSiqkePHuzYsaM0skgpOxgbicUh9xm4EL8aJqepOB5pN5TKHn4AWEIOg2cypxPS+HDhVpOTiYiIiEhJKPJAFR999BFDhw5l9+7dNGnSBGdn53yv9+3bt8TCSck6cioS/ldL1a8eamqWisTL1ZNRHR/klRVvY1is0HA7bOnC2++v49H7WuPm5nzZc4iIiIiI/SpyUbVhwwbWrVvH0qVLC7xmsVjIyckpkWBS8mJS/p34t66/btW8mp7o+ABTVs/hbEYKgaEOxG4xiI1PYf5X23l0SBuz44mIiIhIMRT59r8nnniCe++9l9jYWKxWa74fFVT2KyfHyumMk7b1Wrr976ry86jE7P6T2fTEUn65/1PAAsCbs9eSlaV/NyIiIiJlWZGLqtOnT/PUU09RvXr10sgjpSQuPgWre7JtPaRSTRPTVEyDr72DNsEtubZpEDd1rwfkDnP/+Xc7TU4mIiIiIsVR5KLq9ttv588//yyNLFKKImOSwPOsbT3EL9jENPLyqC625YnvrSEnx3qJvUVERETEnhX5mar69eszduxY1q5dS9OmTQsMVDFq1KgSCyclJzI6CTxSAHCyOOPvWcXkRBVb25Y1aNozlV2rHDl89Axf/byHgbc1NTuWiIiIiFyBKxr9z8vLi1WrVrFq1ap8r1ksFhVVdupYdCJ45hZVVV2r4eBQ5E5KKSGbIrcx4psx7PbfD/Wug73XMmHmagb0bax2ERERESmDilxURURElEYOKWVHo09DdCiGRwrN2zQzO06FVsXDj70nDgLg3Hg3WQeasufgSX767QC33dDQ5HQiIiIiUlT6s3gFcTz6HGzoASv7Me+OGWbHqdDqVg3jnua3AZDtlAp19wLwxrurMQzDxGQiIiIiciUKVVS9+eabpKWlFeqEmzZt4tdffy1WKCl5kTFJADg7OxBQzcvkNPJC9ydsyy5Nd4NDDlt3xbL8r8MmphIRERGRK1Goomrv3r3UqlWLxx57jKVLl3Ly5L/zHWVnZ7Nz505mz55Nhw4dGDBgAN7e3qUWWK5MZHRuUVUz0EfP7diBJgENua3xjQBkOZ+FsAMAvK7eKhEREZEyp1C/XX/66af8/vvvZGVlMWjQIAICAnBxccHb2xtXV1datmzJxx9/zJAhQ9i/fz9dunS5/EnlqjmbkkFCUm5PY60gX5PTSJ4Xuz9pW3ZpvhMsVtZviWLVxqPmhRIRERGRIiv0QBXNmzdn7ty5fPDBB+zcuZNjx46RlpZG1apVadGiBVWrVi3NnFIMUTFJ0OF3qBrHPvcATqbcir+X2stsrYNb0Lt+N347+BdZrokQcgiOXsMb766mW/sws+OJiIiISCEVefQ/BwcHWrRoQYsWLUohjpSGyOjciX8tnuc4STi+bj5mR5L/ebH7k/x28C8AXFrsIPNYPVaujWDD1ijat9IEzSIiIiJlgR6uqQAiY3KLKgBfJz9cnFxMTiR5utRuT9fa7QHIcj8DVeMAmDBztZmxRERERKQIVFRVAOHHT2Jxz32mKsgryOQ08l//1/Np7m7Wly2Pr6CWS+48Vb+uPMQ/u2NNTiYiIiIihaGiqgLYH3vMthxauaaJSeRCutftxJf3fsi1tZry/KMdbdsnvrfGxFQiIiIiUlgqqiqAiNNRtuVrAkLNCyKXdf+AlrZ5xL5dspe9B+NNTiQiIiIil1Pkomr+/PmkpqaWRhYpJdEpMbblutVCTEwil+Pm5szTD7UF9xQMAybMVG+ViIiIiL0rclH1wgsvEBAQwAMPPMD69etLI5OUoJwcKwmZ/07WHOKn2//sldVq5ZMti/kg4Tmcrv8NMPjyp90cOHLK7GgiIiIicglFLqqio6P55JNPOHXqFN26daNBgwZMnjyZuLi40sgnxRQXn4LVPdm2XquSiip7ZbFYmLluHkfORJDjGw9BkVithp6tEhEREbFzRS6qnJyc6N+/Pz/++CNRUVGMGDGChQsXUqtWLfr27cuPP/6I1Wotjaz5vPnmm1gsFkaPHm3blp6ezsiRI6lSpQpeXl7ccccdnDhxotSz2LPc4dRTbOvqqbJfFouFl3s8ZVt3av4PYLDw+50cOXrGvGAiIiIicknFGqiievXqdOrUifbt2+Pg4MCuXbsYOnQoderU4a+//iqhiAVt3ryZDz74gGbNmuXb/tRTT/Hzzz/z9ddfs2rVKmJiYrj99ttLLUdZEBmdBP+0x1jfg5srD8XHzdvsSHIJfRv1oVlgIwByKsVBwHFycgwmzVJvlYiIiIi9uqKi6sSJE7zzzjs0btyYbt26kZyczC+//EJERATR0dHcfffdDB06tKSzApCSksLgwYOZO3cufn5+tu1JSUnMmzePqVOn0r17d1q1asX8+fNZv349GzduLJUsZUFkTBIk+MOxetzb6D6z48hlODg48FKP0bZ1p+bbAINPvtnB0agE03KJiIiIyMU5FfWAW2+9leXLl1O/fn1GjBjBkCFDqFy5su11T09Pnn76ad5+++0SDZpn5MiR3HzzzfTs2ZM33njDtn3r1q1kZWXRs2dP27YGDRpQq1YtNmzYQLt27QqcKyMjg4yMDNt6cnLus0dZWVlkZWWVSv6iyMtQnCzn/yIeVN3TLt5XWVQSbVFYfa/pQ8Nq9dkXf5CcyrFQLYbs+BpMnLmaWRNuKvXr27ur2RZyaWoL+6G2sB9qC/uhtrAfZbUtipK3yEVVtWrVWLVqFe3bt7/oPv7+/kRERBT11Jf15Zdfsm3bNjZv3lzgtbi4OFxcXKhUqVK+7dWrV7/oIBqTJk3i1VdfLbD9t99+w8PDo0Qyl4QVK1Zc8bFb/gm3LR/av4UzcTtLIlKFVZy2KIobKnVmX/xBABybbSXn9xrM/2o71zXKxN/P5apksHdXqy3k8tQW9kNtYT/UFvZDbWE/ylpbFGUaqSIXVV27duXaa68tsD0zM5Mvv/ySIUOGYLFYCAkp2fmQoqKiePLJJ1mxYgVubm4lcs6xY8cyZswY23pycjLBwcH07t0bHx+fErlGcWRlZbFixQp69eqFs7PzFZ3jhY8mQ9BRHDN8uK1/L7zdPUs4ZcVQEm1RFH2sffhlxp8cOhWO1T8G/GPIPhnEtoNuzHj1hlK/vj272m0hF6e2sB9qC/uhtrAfagv7UVbbIu8utsIoclE1fPhwbrjhBqpVq5Zv+9mzZxk+fDhDhgwp6ikLZevWrcTHx+cr6HJycli9ejXvvfcey5cvJzMzk8TExHy9VSdOnCAgIOCC53R1dcXV1bXAdmdnZ7tq8OLkibRsx9J1LVbg94ge3N28X8mGq2Cu1nfDGWde6jGaYYtHAeDYbDs5K4P4+KvtvDyqK0EB5hf9ZrO3f6cVmdrCfqgt7Ifawn6oLexHWWuLomQt8kAVhmFgsVgKbD9+/Di+vr5FPV2h9ejRg127drF9+3bbT+vWrRk8eLBt2dnZmZUrV9qOOXDgAJGRkZe8VbE8SzmXQarDv89UaY6qsmVQi9upX7UOQ1vdzfA6jwOQkZHD2+9r0m0RERERe1LonqqWLVtisViwWCz06NEDJ6d/D83JySEiIoIbbii925K8vb1p0qRJvm2enp5UqVLFtv2BBx5gzJgxVK5cGR8fH5544gnat29/wUEqKoLI6CTwPGtb1xxVZYuToxM7xvyBq5Mr8adSWPjpdNLSs3n/8y08/1hHAqppeHwRERERe1Doouq2224DYPv27fTp0wcvLy/bay4uLoSGhnLHHXeUeMCimDZtGg4ODtxxxx1kZGTQp08fZs+ebWomM+UWVbkT/zriRHUvf5MTSVG5OuXenlqtqheP3NuaaR9tJD0jmykfbuDtl3ubnE5EREREoAhF1fjx4wEIDQ1lwIABJTZYRHH8d4JhNzc3Zs2axaxZs8wJZGciY5LAI7eoquzij4NDseZ6FpM9+0hHZn22icwMg9mfbua5RzviX0UDj4iIiIiYrci/ZQ8dOtQuCiq5vINRMVhcMgEI8g40OY0UR0Z2Bj+Gf4fb7V+B3ylS07KYNneD2bFEREREhEIWVZUrV+bUqVMA+Pn5Ubly5Yv+iP04cOKobTmsSi3zgkixfbLlKx77/nnOchqHptsAmLngb84kFH7+BBEREREpHYW6/W/atGl4e3vbli80+p/Yn6Onj8P/RpNvEBBqahYpniGt7uLVFe8Qe/YERo1w8D1DSlJlps/byGvPdDc7noiIiEiFVqiiaujQobblYcOGlVYWKWGx52Jty/Wql+xkzHJ1uTm78Wy3kYz5eRwADk22YV3Xkxkfb2LMiPZU8nU3OaGIiIhIxVXkZ6qWLFnC8uXLC2z/7bffWLp0aYmEkuLLybGSmHIOI9MFgBC/YJMTSXE91PZeqnlVBcCodQR8Ekg+m8G78zeZnExERESkYityUfXCCy+Qk5NTYLvVauWFF14okVBSfCdOppCztxl8ez83nJ5Ix9A2ZkeSYvJw8eDpLo/+b83A0vgfAKZ/tJHks+nmBRMRERGp4IpcVB06dIhGjRoV2N6gQQMOHz5cIqGk+CJjkmzLdYICbPMdSdn2aPthVPHIHRDGEnIIvBJJSEpn1iebTU4mIiIiUnEVuajy9fUlPDy8wPbDhw/j6ak5c+zFseP/FlW1aviamERKkperJ2O6PAKAYTGwNMntrZry4XpSzmWYGU1ERESkwipyUdWvXz9Gjx7NkSNHbNsOHz7M008/Td++fUs0nFy583uqagWpqCpPRnYYjp97JQAsoYfAM5nTCWnM+WyLucFEREREKqgiF1VvvfUWnp6eNGjQgLCwMMLCwmjYsCFVqlThnXfeKY2McgV2Hz8CXX+F1qs5xnaz40gJ8nHz5slOI3BxdOHuRndisToC8M4H60lNyzQ5nYiIiEjFU6gh1c/n6+vL+vXrWbFiBTt27MDd3Z1mzZrRpUuX0sgnV+jQyQgsQVEAHE3bb3IaKWlPdhrB/W0GUrNSEMbmr1n88x7iT53jw4VbGf1ge7PjiYiIiFQoRS6qACwWC71796Z3794lnUdKyPHkaPjfXX8Na4SZG0ZKnK+7D77uPgC89EQXFv+8B4DJc9bx8ODWuLs7mxlPREREpEIp8u1/AKtWreLWW2+lbt261K1bl759+7JmzZqSzibFcCo93rYcVllzVJVnTRtW5/YbGwIQF5/CvMXbTE4kIiIiUrEUuaj6/PPP6dmzJx4eHowaNYpRo0bh7u5Ojx49WLRoUWlklCJKOZdBmmOCbb2WX00T00hpO5d5jrCex6DxVgDenLWWjIxsk1OJiIiIVBxFvv1vwoQJvPXWWzz11FO2baNGjWLq1Km8/vrrDBo0qEQDStFFxSSD51nbekglFVXlVXZONs2mXk/EmUgcmzqTc6Qh0XEw/6t/eOQ+TfgsIiIicjUUuacqPDycW2+9tcD2vn37EhERUSKhpHgio5PAIwUAV4uH7dkbKX+cHJ3o3+QmAKyWLGiwA4BJs9aSmaneKhEREZGrochFVXBwMCtXriyw/ffffyc4WM/u2IOj0Qm2oqqqazWT00hpe6brY7g5uQHgdM1ecE0jMjqJT7/dYXIyERERkYqhyLf/Pf3004waNYrt27fToUMHANatW8eCBQuYMWNGiQeUotsbeQyLoxWAGt5BJqeR0hbgXY0Rbe9l5rqPyHH4X2/VjnZMmLmGoXe2wNnZ0eyIIiIiIuVakXuqHn30Ub788kt27drF6NGjGT16NLt372bx4sU8/PDDpZFRiuhg/DHbch3/WiYmkavluW4jcXF0AcCpwT5wSedoVKJ6q0RERESugisaUr1///6sXbuW06dPc/r0adauXUu/fv1KOptcoTNxBsaelhhH69GzQQez48hVUMM3kAeuyx0kJschw/Zs1RvvriYrK8fMaCIiIiLl3hUVVWLfTkY6wc62+O29meHt7jY7jlwlL1z/BM6OuZP+OjXca+ut+ky9VSIiIiKlqlBFlZ+fH5UrVy7Uj5grJ8fK8dhkAGrV8DU5jVxNwZVqXLi3aqZ6q0RERERKU6EGqpg+fXopx5CScuJkCllZuYNU1ApSUVXRjL1+FPP+XoSTgxMBwVUI3wkRkYl8/t1Ohg9oaXY8ERERkXKpUEXV0KFDSzuHlJDImCRwPwfpbuqpqoCCK9Xgi0Hv0zH0Og7vT6PTrx8Duc9W3Xt7M40EKCIiIlIKruiZqiNHjvDyyy8zcOBA4uPjAVi6dCl79uwp0XBSdJHRSXDTYrj7I5ZY3jY7jpjg9qY3U93bn45tatGzc20AwiMT+Py7nSYnExERESmfilxUrVq1iqZNm7Jp0ya+++47UlJyJ5ndsWMH48ePL/GAUjQHomKwuGRicTDwcHMzO46YbPzorrblCTNXk52tZ6tERERESlqRi6oXXniBN954gxUrVuDi4mLb3r17dzZu3Fii4aTo9sVE2JZD/WqamETsQdOmftS96Si4pHPkmHqrREREREpDkYuqXbt20b9//wLbq1WrxqlTp0oklFy58JNRtuX61UNMTCJmW7Lvd8LebMMR32VwTW4x9ca76q0SERERKWlFLqoqVapEbGxsge3//PMPNWrUKJFQcuWiU2Jsy41q1jYxiZitccA1nMtMBcCp0R5bb9XC73eZnExERESkfClyUXXPPffw/PPPExcXh8ViwWq1sm7dOp555hmGDBlSGhmlCE5lnLAth1WuZWISMVuIXzDDWw8E/jdv1f96q16fsUq9VSIiIiIlqMhF1cSJE2nQoAHBwcGkpKTQqFEjunTpQocOHXj55ZdLI6MUUsq5DNIdE23rtSqp57CiG9v9CZwdnYH8vVWLflBvlYiIiEhJKXRRdeedd7Js2TKcnZ2ZO3cu4eHh/PLLL3z++efs37+fzz77DEdHzYFjpqiYZPBMsa0HVwoyMY3Yg4v3VunZKhEREZGSUuiiKiEhgZtvvplatWoxbtw4srOzuemmm7j77rupV69eaWaUQoqMTgKPswB4Wirh5qwh1eXCvVWHj55Rb5WIiIhICSl0UbVy5UrCw8N54IEH+Pzzz6lbty7du3dn0aJFZGRklGZGKaQjx09h8cgdmMDfrZrJacRehPgFM6z1PUD+3iqNBCgiIiJSMor0TFVISAivvPIK4eHhrFixgqCgIEaMGEFgYCAjR45k69atpZVTCiEm5hzGD/dirOjHY82eNDuO2JEXu4/CycEJ+Le36lDEGb74cbfJyURERETKviIPVJGne/fufP7558TFxTFp0iS+/PJL2rZtW5LZpIiiYpMhzQtOBXJT085mxxE7EuIXzPA2uc9Wubk4gV/unHIaCVBERESk+K64qAKIiIjgnXfeYeLEiSQlJdGzZ8+SyiVXIDI6ybYcHORrYhKxRy92H8X/9RxD5Mtb6Va7EwCHIs7w5U/qrRIREREpjiIXVenp6Xz++ed0796devXq8emnn/LAAw8QERHBsmXLSiOjFNKx6EQA/Hzd8PZyNTeM2J0Qv2Be7f0cfh6VGP9UV9t2jQQoIiIiUjyFLqr+/vtvHnnkEQIDAxkxYgQBAQEsW7aM8PBwxo0bR3BwcGnmlMvIybES6fAP1N1NpQYnSMtKMzuS2LFu7cPo1j4UgIPhp9VbJSIiIlIMhS6q2rVrx6ZNm3j99deJiYlh0aJF9OzZE4vFUpr5pJBOnEwhJ2w3ljZrOVr7C9KzNCKjXNrox5pD9eNAbm9VTo7V5EQiIiIiZZNTYXfcsmUL1157bWlmkWKIjEkCz9w5qpxxo5K7nqmSixv/21tMXf0+Tt1yyP5ukK23anD/ZmZHExERESlzCt1TpYLKvh09ngAe5wCo7OyvHkS5pNjkeM5lpuabt+r1GavUWyUiIiJyBYo1+p/Yj32RkVgccwcbCPQKNDmN2LsC81Y5Z3DgyGkW69kqERERkSJTUVVO7IuLsC2HVtagIXJpoZVrMaz1PQDkOKbbeqteU2+ViIiISJGpqConjp4+blu+JiDUvCBSZlyst+qrn/eYnExERESkbFFRVU7EpMTYlpvUrG1iEikrQivXYmjrAYB6q0RERESKo1Cj/7Vs2bLQAx9s27atWIHkypzOPGlbDqtSy8QkUpa82H0Un2xZTLY1G6dGe8g+0Iz9h0/x1c97GHhbU7PjiYiIiJQJhSqqbrvttlKOIcVxLjWTdMdE8sreWpVqmJpHyo6wyiEMbT2AeX8v/F9v1S7Y3ZrX313F3bc2xtFRndkiIiIil1Ooomr8+PGlnUOKITI6Cc55YyRWxs03g0Cf6mZHkjLk/N4q92vCSdtzLfsOneLrX/ZwTz/1VomIiIhcTqEn/xX7FRmdBNs6AjDm8c44OjianEjKkrDKIYzu/BCVPfxobOlG32+/BeD1d1dz1y3qrRIRERG5nCIXVTk5OUybNo2vvvqKyMhIMjMz871+5syZEgsnhRMZk2RbrlXD18QkUla9dfM4AAzDoFObzazdHMnegyf55te9DOjbxOR0IiIiIvatyH+CfvXVV5k6dSoDBgwgKSmJMWPGcPvtt+Pg4MArr7xSChHlciKjVVRJybBYLIx/qqttXSMBioiIiFxekYuqhQsXMnfuXJ5++mmcnJwYOHAgH330EePGjWPjxo2lkVEuI19PVZCKKimeHp1q06adLzhlsvfgSb7+RfNWiYiIiFxKkYuquLg4mjbNfXjdy8uLpKTcX+hvueUWfv3115JNJ4Xyd9JKuHExdFlCTM4hs+NIGRafcpKnfh7HzjrTbPNWvTpdvVUiIiIil1LkoqpmzZrExsYCUKdOHX777TcANm/ejKura8mmk0KJSz+OpVIClhqRWJxzzI4jZVhKRiqz1n9MpjUTp8a7wTmD/YdP8eVPu82OJiIiImK3ilxU9e/fn5UrVwLwxBNP8H//93/Uq1ePIUOGcP/995d4QLk0q9VKsvWUbV1zVElx1K4SwpBWdwPkzltVfxcAr01fRXa2CnYRERGRCyny6H9vvvmmbXnAgAGEhISwfv166tWrx6233lqi4eTyTpw8h9X9rG3i3+BKQabmkbLvpe6j+XTrV+RYc3BqvJvsg005GH6aL37czX13NDc7noiIiIjdKfYENO3atWPMmDEqqExyLDoRPFMAcMcHd2d3cwNJmVegt+p/z1apt0pERETkwopcVE2aNImPP/64wPaPP/6YyZMnl0goKbzwqFPgfg6AKi7+JqeR8uLlHqNxcsjtyM57turw0TN8/t1Ok5OJiIiI2J8iF1UffPABDRo0KLC9cePGvP/++yUSSgpvd2QElv/d+xfkrVv/pGSEVQ5hWOt7AMhxyIAGOwB4fcZqsrLUWyUiIiJyvisaUj0wMLDAdn9/f9uogHL17I87alsOqxJsXhApd17q8STOjs4AODXaAy7phEcm8Nm3O0xOJiIiImJfilxUBQcHs27dugLb161bR1CQekqutmNnjtuWGwaGmZhEypsQv2DubzMQ+F9vVb3cSYBff3c1mZnZZkYTERERsStFLqpGjBjB6NGjmT9/PseOHePYsWN8/PHHPPXUU4wYMaI0MsolxKb+2zvYJLi2iUmkPHqx+5OE+gUzo98b9KzaH4CjUYl88o16q0RERETyFHlI9WeffZbTp0/z2GOPkZmZCYCbmxvPP/88Y8eOLfGAcmlph2tiRHbGp3oWLWs2MTuOlDPBlWpw+PlNODg4cJ3HcX5f9REAb7y7mqF3NsfFpcj/CREREREpd4rcU2WxWJg8eTInT55k48aN7NixgzNnzjBu3LjSyCeXkJqWSWKkJxxuTLPMvoRVDjE7kpRDDg65/5lo27ImN3WvB0BkdBIfL/7HzFgiIiIiduOK56ny8vKiTZs2NGnSBFdX15LMJIV0PDbZtlyrhq+JSaSieOWpbuCU20M9YeYaMjL0bJWIiIhIoe7duf3221mwYAE+Pj7cfvvtl9z3u+++K5FgcnmR0Um25eAgHxOTSEVw9EwkHx6egfMd35L1490cj4V5X27jsaHXmR1NRERExFSF6qny9fXF8r/JkHx8fPD19b3oj1w9h6JOgH8seJylRqCX2XGknHt33Tzm/b2QbId0aJh769+EmWtIT88yOZmIiIiIuQrVUzV//nzb8oIFC0oryyVNmjSJ7777jv379+Pu7k6HDh2YPHky11xzjW2f9PR0nn76ab788ksyMjLo06cPs2fPpnr16qZkLm3bj+/H0vNHAJYkJfME7U1OJOXZc91G8sHGT0nLSsPxmv3k7G9BzAmY+8U2nhje1ux4IiIiIqYp8jNV3bt3JzExscD25ORkunfvXhKZLmjVqlWMHDmSjRs3smLFCrKysujduzfnzp2z7fPUU0/x888/8/XXX7Nq1SpiYmIue7tiWXY4/phtuW61WiYmkYogwLsaj7YfCoDVkmXrrZr03hrS0tRbJSIiIhVXkYuqv/76yzaU+vnS09NZs2ZNiYS6kGXLljFs2DAaN25M8+bNWbBgAZGRkWzduhWApKQk5s2bx9SpU+nevTutWrVi/vz5rF+/no0bN5ZaLjNFJ8fYlhvXrGNiEqkonus2Eg9ndwAc6+8H9xRi41P4YOEWk5OJiIiImKfQk8zs3LnTtrx3717i4uJs6zk5OSxbtowaNWqUbLpLSErKHaShcuXKAGzdupWsrCx69uxp26dBgwbUqlWLDRs20K5duwLnyMjIICMjw7aenJw7ml5WVhZZWeb/5T0vw8WyxKedgEq5y/WqBdtF5vLqcm1RUfi5VuLRdsOYsmYOVks2NPoHtnbmzVlrGX53czzcnUs9g9rCfqgt7Ifawn6oLeyH2sJ+lNW2KEreQhdVLVq0wGKxYLFYLnibn7u7OzNnziz0hYvDarUyevRoOnbsSJMmuRPexsXF4eLiQqVKlfLtW7169XwF4PkmTZrEq6++WmD7b7/9hoeHR4nnvlIrVqwosM0wDJKsp2zr4dsPkbL/zNWMVSFdqC0qmmZZdXFzcCXdmoFD3f1Y97XkxCl46uWF9OtR7arlUFvYD7WF/VBb2A+1hf1QW9iPstYWqamphd630EVVREQEhmFQu3Zt/v77b/z9/W2vubi4UK1aNRwdHYuW9AqNHDmS3bt3s3bt2mKdZ+zYsYwZM8a2npycTHBwML1798bHx/whyrOyslixYgW9evXC2Tl/D8DphFSsP/8fFgDDwuB+9+DsWPq9BBXVpdqiItrjHs5bq2ZhOORgabQNY0sXflmdwNTXB+Hp4VKq11Zb2A+1hf1QW9gPtYX9UFvYj7LaFnl3sRVGoYuqkJAQsrKyGDp0KFWqVCEkJOSKwhXX448/zi+//MLq1aupWbOmbXtAQACZmZkkJibm6606ceIEAQEBFzyXq6vrBScudnZ2tqsGv1CeuJOp4HkWAE9LJTzc7KdnrTyzt++GWZ7tNpI5Gz/hbEYKDnUPkLO3JSdPw9wvtvPsIx2vSga1hf1QW9gPtYX9UFvYD7WF/ShrbVGUrEUaqMLZ2Znvv/++yIFKgmEYPP7443z//ff88ccfhIWF5Xu9VatWODs7s3LlStu2AwcOEBkZSfv25W+o8UORJ7C4pQNQ2eXq3XIlAlDFszKjOo0g1C+YV7qMw5KeW9S/NWcdKecyLnO0iIiISPlS5NH/+vXrxw8//FAKUS5t5MiRfP755yxatAhvb2/i4uKIi4sjLS0NyJ2g+IEHHmDMmDH8+eefbN26leHDh9O+ffsLDlJR1u2MPGJbruEVaGISqajGXv8E+59dx8u3Psw9tzYH4NSZVN5b8LfJyURERESurkLf/penXr16vPbaa6xbt45WrVrh6emZ7/VRo0aVWLjzzZkzB4Bu3brl2z5//nyGDRsGwLRp03BwcOCOO+7IN/lveXTkRDSG1YLFwSC0crDZcaQC8nD595bTcaO7svjnPVitBm+/v56RQ6/D26vgrbUiIiIi5VGRi6p58+ZRqVIltm7dapsjKo/FYim1osowjMvu4+bmxqxZs5g1a1apZLAnxokg+HkEhnsqj3/3gNlxpIJrUNefQbc15fPvdnAmMY2Z8zfx4hNdzI4lIiIiclUUuaiKiIgojRxSRFGxSWA4QKoXLWtr4l8x1/74QyQ2/gVLzBGMjdfzzgfreXzYdfh4u5kdTURERKTUFfmZqjyZmZkcOHCA7OzskswjhRQZnTv5sX8VD9yvwoSrIheTkZ1Blzn9+PXwEiyhB8E7kYSkdGbM22R2NBEREZGroshFVWpqKg888AAeHh40btyYyMhIAJ544gnefPPNEg8oBWVn5xBzInc49VpBviankYrO1cmV0Z0fBsCwGFiabANg6kcbSExKMzOaiIiIyFVR5KJq7Nix7Nixg7/++gs3t39v7enZsyeLFy8u0XByYbHxKeQ0XwPNN2KE7jc7jghPdHiAKh6VAbCEHALvBBKT0pnxsXqrREREpPwrclH1ww8/8N5779GpUycsFotte+PGjTly5MgljpSSciw6AeruxdJoO5Hea82OI4K3mxdPd30UyO2tcmj2v96quRtISFRvlYiIiJRvRS6qTp48SbVqBSebPXfuXL4iS0rProgILI5WAKq5Vzc5jUiuxzvcT1XP3N4qo9Zh8DlD8tkMpn20weRkIiIiIqWryEVV69at+fXXX23reYXURx99RPv27UsumVzU7uhw23Kwbw0Tk4j8y8vVk2e7jvzfmoFDs9wpF6bP28iZhFTzgomIiIiUsiIPqT5x4kRuvPFG9u7dS3Z2NjNmzGDv3r2sX7+eVatWlUZG+Y8jJ6Nsy3WrhZiYRCS/xzoMY8rqOcSnnMIIPgK+13I2qQpTPtzAhOd7mB1PREREpFQUuqdq9+7dAHTq1Int27eTnZ1N06ZN+e2336hWrRobNmygVatWpRZU/hWVdNy23LhGmIlJRPLzdPHkuW6P29bzeqvenb+JU2fOmRVLREREpFQVuqeqWbNmtGnThgcffJB77rmHuXPnlmYuuYST6SfAM3e5WUhdc8OI/Mcj7Ybw9l+z8POoRE2H61kBpJzLZMqHG5j0Qk+z44mIiIiUuEL3VK1atYrGjRvz9NNPExgYyLBhw1izZk1pZpOLSMo5ZVsOqxxsYhKRgjxcPFj16A/sGvMXHz/5NC4ujgDMnL+Jk6fVWyUiIiLlT6GLqs6dO/Pxxx8TGxvLzJkziYiIoGvXrtSvX5/JkycTFxdXmjnlf1LTMsl0TgbAYjgS4F1wJEYRs9X3r4OjgyM1A315aFDubcHnUrN4+/11JicTERERKXlFHv3P09OT4cOHs2rVKg4ePMhdd93FrFmzqFWrFn379i2NjHKeqJhk8DwLgKfhh4NDkZtQ5KoaO7ITrq65vVWzPtnMiZMpJicSERERKVnF+o28bt26vPjii7z88st4e3vnG2pdSkdE1Gk4Vhcjuha13RubHUfksk7kHKPGneugcjypaVm8NUe9VSIiIlK+XHFRtXr1aoYNG0ZAQADPPvsst99+O+vW6Zel0hYTdw62dIHVN/FQ3afNjiNySUv3r6TVjF5EWLfj2Dx3JMA5n20mLv6syclERERESk6RiqqYmBgmTpxI/fr16datG4cPH+bdd98lJiaGuXPn0q5du9LKKf8TGZNkW65Vw9fEJCKX171uJ2pVyp2g2hpwDKqcIC09m8mz9QcYERERKT8KXVTdeOONhISEMHPmTPr378++fftYu3Ytw4cPx9PTszQzynmiYpJtyyqqxN65OrnyYvfRtnVbb9Xnm4mJS77IUSIiIiJlS6GLKmdnZ7755huOHz/O5MmTueaaa0ozl1zE0ZjTgAFAcKCKKrF/w1oPINQvd+h/a/VIqBpHRkYOb85ea3IyERERkZJR6KLqp59+ol+/fjg6OpZmHrmMLe6fw50f43Dz16RaEs2OI3JZLk4uvNTjKdt6Xm/VBwu3cjw26WKHiYiIiJQZGo+7DDEMgxTOYHHOwvA5TRUPP7MjiRTKkFZ3UbtyCADWalHgH0tmZg4TZ2oCcRERESn7VFSVIWcS07C6546a5pLjhZuzm8mJRArH2dGZl3sW7K366MttHDueaFIqERERkZKhoqoMORJ5CtzPAeDjWNXkNCJFc2/LO6lbJQwAq/9xqBZNVpaVN95dbXIyERERkeJRUVWGbI84gsWSu1zNrbq5YUSKyMnRif/rOQaAZtUb4+nuCsD8r/7hyNEzZkYTERERKRYVVWXInuhw23Kwbw0Tk4hcmYEt+vPr/Qv5Z8zvPHfnnQDk5Bi8NmOVyclERERErpyKqjLkcPwx23Id/2ATk4hcGSdHJ25s0AOLxcKT97fDzzf3ucDPv9vJgSOnTE4nIiIicmVUVJUhUUkxtuXGNeuYmESk+Hx93Hj2kY4AWK0Gr077y9xAIiIiIldIRVUZEp8WZ1tuEVrXxCQiJaNNDwvuHTYBBl/+tJvd+0+YHUlERESkyFRUlSFJOf/eHlW/eqh5QURKwBM/vEjv+XeSHvIPBEZhGPDqdD1bJSIiImWPiqoyIjs7h4wN7TH+upHg6FuorIl/pYzrWru9bdm55TbA4Jtf97J9T6x5oURERESugIqqMiI2PgUj2RdiQ2jl0RNL3tjqImXU7U1upllgIwCyfeMgKHcgllem/mViKhEREZGiU1FVRkRGJ9mWa9XwNTGJSMlwcHDglV7P2tadr83trfrxtwNs2RFtXjARERGRIlJRVUacX1QFB6qokvKhX+MbuLZGMwCyveOh5lEAxk3508RUIiIiIkWjoqqM2HZsL4QchKqxVK6mZpPywWKx8Grvf3urXK7dChgs/fMwG7ZGmRdMREREpAj023kZsTFuA5YOf2Dp9SNHrTvMjiNSYm5q0JO2ta4FIMvzFAQfAdRbJSIiImWHiqoyIjbl3xHRmodojiopP3J7q56zrbtc+w9YrPy+JpzVG4+aF0xERESkkFRUlRGnM+Jty8018a+UM73qdaVj6HUAhFYLANd0AP7vnT8xDMPMaCIiIiKXpaKqjEixnMldMCzU8gsyN4xICbNYLEy55RWWP7iY3WOXUz8oGIDVm47xx7oIk9OJiIiIXJqKqjLgXGom2a7JALjk+ODs6GxyIpGSd12ta+lVvyvOzk6MH93Vtn3cFPVWiYiIiH1TUVUGHIqKx+KWBoCvQxWT04iUvgF9m9Covj8A67dEsfyvwyYnEhEREbk4FVVlwI6II7Zlf7fqJiYRuTocHCzcPswLgo4CerZKRERE7JuKqjJg9/Fw23JNnxomJhEpfamZqXSdcxsTdj2PS/sN4JDDlp0x/PL7QbOjiYiIiFyQiqoy4MjJfydBreNfy8QkIqXPw8UDHzcvALJckqD2fiD32Sqr1WpmNBEREZELUlFVBiQkp2Kc88KwOtAgKNTsOCKl7pVez9qWXVrsAIdstu+J4/tl+01MJSIiInJhKqrKAO+4FvDTvbB4BHde28fsOCKlrnVwC/o1vgGALOdkqLsPgPFT/sRq1bNVIiIiYl9UVJUBMfFnAXB2diSgqo/JaUSujvG9nrEtuzTfAY5Z7Dl4kq9/3WtiKhEREZGCVFSVAbHxKQAEVffGYrGYnEbk6mgR1IQ7mt4MQJZTCtTLLaZen7GGHPVWiYiIiB1RUWXnsrKsnDydCuQWVSIVyfhez9j+kODSbCc4ZXEw/DSrtySYnExERETkXyqq7NyJpFTo8SO0/5304B1mxxG5qpoENGRAs34AZDmeg3q7AVi8JJasrBwzo4mIiIjYqKiyc0fPnMJSLRZL6GHOeUWaHUfkqhvX62kcLLn/qQqolwFA3KlMFn6/y8xYIiIiIjYqquzc8eRTtuUAz2omJhExR4Nq9XjzppdZ89hPfDPsQ9v2CTPXkpmZbWIyERERkVwqquxc3LkztuWalYJMTCJinme6PkbH0Ovo2KYWvbvUBuBYdBIfL/7H5GQiIiIiKqrs3qmMRNtynWo1zQsiYifGP9XFtjxh5hrS07NMTCMiIiKiosruJWYl2pYbBIWYF0TETrRuFkTdDnHgks7x2GTmfrHN7EgiIiJSwamosnNnjWTbcrOQ2iYmETHf9pjdtJt1E0dCfoAGuaNhTnxvDWlp6q0SERER86iosnNpDmdty/UCgk1MImK+Kh5+7I0/CIBToz3gmkZcfApzPttscjIRERGpyFRU2bls59yiyjHLE1dnV5PTiJgruFINHmgzCIAcSyaWhtsBeHP2WlLOZZiYTERERCoyFVV2LOlsGla3VADcrb4mpxGxD891HYmLgzMAjg32glsqJ0+nMusT9VaJiIiIOVRU2bGouETY1QbjYGNqO7QyO46IXQjyCaBPQO4IgDmWLCyNc4dVf2vOOpLPppsZTURERCooFVV27PTpTNh7LWztTO+qd5kdR8Ru3F7jBtyd3QBwqLcP3FM4k5jGjHmbTE4mIiIiFZGKKjsWHffvIBVB1b1NTCJiXyq5+PBou2EAWC3ZWJrk9lZNmbuexKQ0E5OJiIhIRaSiyo7FxquoErmYpzs/ipeLJwAOdfaDx1mSkjOYOneDyclERESkolFRZcfC42LAOQMwVFSJ/EdVz8o80elBAKyWHBxqRgEwfd5GTiekmhlNREREKhgVVXbst7MLsdw5H+6cR6bbGbPjiNidp7s8woDm/dj65ApGXHcfAGdTMnnng/UmJxMREZGKREWVHUvKOg2AxTmbRsGa+Ffkvyp7+PHF4A9oWaMpLz3RBRcXRwDe/XgT8adSTE4nIiIiFYWKKjuWaknKXch2onqlKuaGEbFzwUG+PDQod+qB1LQs3pqzzuREIiIiUlGoqLJThmGQ5ZwMgEu2LxaLxeREIvbvuUfb4xIUD8CsTzYTe+LsZY4QERERKT4VVXbq2Il4cM4CwNNSydwwImXAT3uW02dRX7K7fg8+CaRnZDNp1hqzY4mIiEgFoKLKTu2ICLct+znr1j+Ry9kXf5D98YcwMHBqvg2ADxZu5XhsksnJREREpLwrl0XVrFmzCA0Nxc3NjbZt2/L333+bHanI9h4/alv296hmXhCRMmJkh/vx98z9A0ROzcPge5rMzBwmvKveKhERESld5a6oWrx4MWPGjGH8+PFs27aN5s2b06dPH+Lj482OViSH46NsyzV9A0xMIlI2eLl68vz1T/xvzcCpRW5v1bzF2zgalWBeMBERESn3yl1RNXXqVEaMGMHw4cNp1KgR77//Ph4eHnz88cdmRyuSY2eibcthVWuYmESk7Hik3RACvHN7dnOCjoDfKbKyrLzx7mqTk4mIiEh55mR2gJKUmZnJ1q1bGTt2rG2bg4MDPXv2ZMOGDQX2z8jIICMjw7aenJw72l5WVhZZWVmlH/giTp1JZeV36dA4GEtQFA0CQ03NI9g+f7WD+S7VFs4WZ57r+jhjfhmXu95iG1l/9mbB19t5+qF21A2tfFWzlnf6d2E/1Bb2Q21hP9QW9qOstkVR8parourUqVPk5ORQvXr1fNurV6/O/v37C+w/adIkXn311QLbf/vtNzw8PEot5+UYhkFD37rs2+kE/nE4n0lmyZIlpuWRf61YscLsCPI/F2uLGtbKVHHx43RmAtkB4VA5npwz1Rj5wmKeHBJylVNWDPp3YT/UFvZDbWE/1Bb2o6y1RWpqaqH3LVdFVVGNHTuWMWPG2NaTk5MJDg6md+/e+Pj4mJgMqgZFM2rcUnrVaMAdfW/F2dnZ1DwVXVZWFitWrKBXr15qC5MVpi3i/ZN54qcXAXBuuY2slTewaksCMybcRYM6Va9m3HJN/y7sh9rCfqgt7Ifawn6U1bbIu4utMMpVUVW1alUcHR05ceJEvu0nTpwgIKDgYA+urq64uroW2O7s7Gx6g3e6LpSNPz3A0qVL7SKP5FJb2I9LtcWIdvfyzprZHEs4Tk61Y+CVhDXFlwnvruXL2Xdd5aTln/5d2A+1hf1QW9gPtYX9KGttUZSs5WqgChcXF1q1asXKlStt26xWKytXrqR9+/YmJrsyFovF7AgiZZKLkwvjej7NwBb92TJyJf6ugQAs/nkPO/bGmZxOREREyptyVVQBjBkzhrlz5/LJJ5+wb98+Hn30Uc6dO8fw4cPNjiYiV9HwNgNZOGgOLUMaMXZkZ9v2/3v7DxNTiYiISHlU7oqqAQMG8M477zBu3DhatGjB9u3bWbZsWYHBK0Sk4nj0vtbUCPAG4OffD7JxW9RljhAREREpvHJXVAE8/vjjHDt2jIyMDDZt2kTbtm3NjiQiJnJzc2bsEx3AIwWAl9VbJSIiIiWoXBZVIiJ5cqw5fLx5Ee9Ej8Lt+j8Bg5VrI/hzfYTZ0URERKScUFElIuXe1NXvcywhigyfaAg4DuT2VhmGYXIyERERKQ9UVIlIuebo4Mj4Xs/Y1t2v+wcwWL8liqV/HjIvmIiIiJQbKqpEpNy7o8ktNAtsBEC6ZwwERQK5vVVWq9XMaCIiIlIOqKgSkXLPwcGBV3o9a1v3+F9v1T+74/hu6T7zgomIiEi5oKJKRCqEfo1v4NoazQBIc4+DmkcBGDflT3Jy1FslIiIiV05FlYhUCBaLhVd7/9tb5XnddsBg36FTLPx+p2m5REREpOxTUSUiFcZNDXpyXXBLAFJdT/D/7d15fFTV/f/x153JTPaFkJAQAiEQ9iUCAoKKrAGsFBRRa6WAiq3Gva2tVUFsK9Va61IL1rpUv4ioFdciILv+QEBE9ggRQYGwBLJvk5n7+yPJJAOB0MbkTpL308c4c889Z+7nzieH3E/uzB3aZwLw8F9X43K5rQxNREREmjAVVSLSYlScrbrPuxw+aCdgsv9gDi8t+tK6wERERKRJU1ElIi1KWtfhDO80lJsH3cBrV/8DMAD4/dNrKClxWRuciIiINEkBVgcgItKYDMNg+S1vYbfZAfjxmH28vzyDQ1n5zHttM/fMHGJxhCIiItLU6EyViLQ4VQUVwO9/PcL7eO5z6ygoLLUiJBEREWnCVFSJSIvWt0c8kyd0AcPN8ewinn7xc6tDEhERkSZGRZWItFglrhKe+fSfrG0zF6Pz1wD8+fnPOJVTbHFkIiIi0pSoqBKRFuurI7u4+/0HOVF0gtALt4PNTW5eKY/P/8zq0ERERKQJUVElIi3W4A79ubz7KAAKjZPYu2YA8NQ/N3DoSJ6VoYmIiEgToqJKRFq0h8f82vs4uP82sJVTUlrOnKdWWxeUiIiINCkqqkSkRbuw/QX8uOdYAArNHIJ67QXgxTe+ZM++41aGJiIiIk2EiioRafEeTqs+W+XouxXsLjwek989tsK6oERERKTJUFElIi3eBQm9mdznRwAUeHKJ6LcPgMUf72HDlu+sDE1ERESaABVVIiLA7DG/wjAMAMzuWyHABcB9f1yOaZoWRiYiIiL+TkWViAjQO74H1/adCECBO5eYwd8AsG7jQf6zcq+VoYmIiIifU1ElIlJp1phfEuII5s5LZjL32nRv+2/nfoLb7bEwMhEREfFnAVYHICLiL7q36cKhB78iMjgC0zR54aXdbNx6iB0Zx1iweBs/u/oCq0MUERERP6QzVSIiNUQGRwBgGAaP/W60t/2hJ1ZRUuKyKiwRERHxYyqqRETOYviQZMaN6ATAwUO5/P3VTRZHJCIiIv5IRZWISC0KSguZu/IZtqc8hRFYAsAfn11Hbl6JxZGJiIiIv1FRJSJSi4eWPsYDHz/K4YLD9PrxEQBO5hTz2N8/tTgyERER8TcqqkREanHvsJ/jtDsB2B+8DkdYGQBPvbiBQ0fyrAxNRERE/IyKKhGRWrSPasfMwTcAUOQqIvWqwwAUl5Qz6y+rrAxNRERE/IyKKhGRs7h/xJ0EBQQBsMtcTXhsOQAvLfqS+a/pohUiIiJSQUWViMhZJETG84sh0wAoLi+h9+QDgAnArb/7iHm6GqCIiIigokpE5Jx+M/x2gh3BAGzIXc7QGUeoKqxue+Aj/v6vjRZGJyIiIv5ARZWIyDnEhcfy1wmPeJfXl7zPkBmHqSqs0h/8D8+8tMGi6ERERMQfqKgSEanDLRdN5W+T5nqXUy9oxf3pl3qX75r9MbP/sgrTNK0IT0RERCwWYHUAIiJNwW1DZ2C32fny0A6em/QnDMPA4bDzyFNrAHjkqTUczy7k2d9fjt2uv1eJiIi0JCqqRETO088v+pnP8pxfjqB1q2Dumv0xAPNe20z2qWJefepKAgP1z6uIiEhLoT+niojUw6BRDvrd9iX2oIrLrb/54U6umPE6BYWlFkcmIiIijUVFlYjI/2j30a+54uUb2Hrqc5KnrSEosgyAT9Z9w8hr/8Xx7EKLIxQREZHGoKJKROR/lF9a4H2cmbeXmCnLCG9bAsCmrw4z8Ip/sG13llXhiYiISCNRUSUi8j8a1KE/6259j/ZR7QA4VPg9znHvE9M1F4AD3+cydNKLvLNkl5VhioiISANTUSUiUg894rry2W0f0DOuKwAnS06SO/AtkoYfAqCwyMXkW97k4SdX4fF4rAxVREREGoiKKhGRekqMSmDtre8xKqXiu6vKPeUcbPsBXa7ZATY3AHP+uoYpv3hLF7AQERFphlRUiYj8AKJDWrHkpoXcc+nPvW377J/SbfpGDKPiS4HfWbKboZNeJCPzhFVhioiISANQUSUi8gMJsAfwlwlzePW6vxEUEATAH6++gw9f+SkR4YEAbN9zjP7jn+fFN7ZgmqaV4YqIiMgPRN9OKSLyA7uh/9X0aNOFNd+sZ3KfKwDY+MFMrpz5Brv3nqCo2MXNv36fpWv28fzcCbSKCrY4YhEREakPnakSEWkAAxJTuXfYL7zL3TrHsOnDmQy4/hCE5gHw1oe7SB07j3WfH7AqTBEREfkBqKgSEWkki3b+my3mB4Rc+S6hPb8BTL47nMfwa17hwcdXUFpabnWIIiIi8j9QUSUi0gjcHjdPr3sBgGJ3EUWpy2gzYT04i/F4TP747DpSx85jzfpvrQ1URERE/msqqkREGoHdZmfdbe/zswFTvG3Hw7YROuUdbCl7AJOMzGyGX/MKN/3qPU6eKrIuWBEREfmvqKgSEWkkEUHhvHLts7zx0+eJCo4EoMiTjzlwNeETl0BkNgAvLfqS7iP+xoLF23SFQBERkSZARZWISCO7JnUiO3+5lutSJ3nbCkIOYr/83zgHbgJMjmcXccOd7zDimlfYsOU7y2IVERGRuqmoEhGxQNuIOF7/6XyW3ryIlNbJAHjwMHlSMleN7+ntt2bDAYZMfJGJNy5kx56jVoUrIiIi56CiSkTEQmO6Xsa2e1cxe8yvaBfZlmcnP8K//3Et7714HZ2TWoHNDYaH95dn0DdtHlPveodvDpy0OmwRERGpQUWViIjFghxBzB7zK/bet57WodEA/DitO7tX3c7Eu0oJmPA2dNiHaZr83zvb6D7ib6Q/8BFHjuZbHLmIiIiAiioREb8R5AjyWS4sL2Bt7nu4Q09iXPwJ9ivehsT9uFxu/v7qJjpf8jS/fGSpzlyJiIhYTEWViIifyi46Rd/4Ht5lT3g2xqVLsV3+b+i8i2JXMU++sJ6US5/hxzNeZ9mafXg8HgsjFhERaZlUVImI+KnOrTuy6heLWTbzTQZ36O9tNyNPYAxai3HlazDgU8zwk3zwydeMveH/6DnyOZ59+XPy8kssjFxERKRlUVElIuLHDMNgdJdh/L/0j/hgxmsMat+veqWjDKPrDuyjPwKj4gxVRmY2d85aQruBT3L7gx/pioEiIiKNQEWViEgTYBgGP+oxhg13LGHTnUu5ceD1BDuCAfjtuJn8+/nrGDG0o7d/geMIz/1rI33GzKPXqOeY89fV7N573KLoRUREmrcAqwMQEZH/zoDEVP455Un+/KNZvLrlLSb3/hGJUQlcNb4nO/Yc5dFXPuQNz3zMwjD4Lpld33Xi4b8e5eEnV9O7WxumXNGTa67oRfeUWKt3RUREpFlQUSUi0kS1Conirktm+rT17h5H37FFvLEEjNAC6L4dum/HLA6B7zuy47tO7HjyCLP/spo+3dtw1fgejLm0M4MuaIfDYbdoT0RERJo2FVUiIs1Mr7hujOs2ghX7PsXldgFgBBdBl13QZRdmmROOx7P9+2S2//UYc/66hrBQJ5ddlMSoizsx+pJO9O7eBsMwLN4TERGRpkFFlYhIMzOhZxoTeqaRU5zLB7uW8c6Oj1iasZqS8oorAhrOMmh3ENPlhG8qLtleUFjGRyv28tHnm+CRSNrEhDFyaDIjL05m0AXt6NklVmeyREREzkJFlYhIMxUVHMnUAVOYOmAKBaWF/GfPJ7y7Ywkr9q3jeGE2j908jdjJF/LJp9+w4rNvOHoqB370JrjtHDsVwxvft+aN+TGQE0NgcSz9erZjYGoCF/ZNYGBqO5LbR1i9iyIiIn5BRZWISAsQFhjKNakTuSZ1IqZpsutoBvHhbWgdGs2Ma/thmib/WLGYW5e9CDYPtDlScatU6raxIa8VG3bFwGcx8E13wgJDaR/v4P11Jt06x9ClY2u6dmpN56RWBAU5LNxbERGRxqWiSkSkhTEMg17x3c9o652SyJWHL2fz91/xXc4h3/V2D7TKhlbZmJ6vIbMHBYVl7M4sY3fmVuiwD6KyoSASozCctqGJ9GiXRNeOMXRJrii2uiRHk9y+ld5GKCIizY6KKhERAeDijoO4uOMgAE4UZvPV4V18eXg7Xx3eyZeHt7Pn2D48poe4wHZcnNaHzV8d4uDhvIrB7b/B6PCN97mOAIfddlZkh8PBcPg4FIpDsGUnkOzoQ/uESOJjwypubcLOeBwTHYLdrq9SFBGRpkFFlYiInCEmtDWjulzKqC6XetuKXcVsP7KbgrIiRqZcgsvl4s2336dz1wu5/sNP+LbQ9zkMuxsicypulTx7ysn8MpHMA6cqW0y48l+wLQiKg6EsCMoCMcqCCHOEExkUQUxoK9pERNOtVQ/iIloTGRFIZHgQkeEV91GR1Y8jwgNVjImISKNrEkXVt99+y+9//3tWrlxJVlYWCQkJ3HDDDTzwwAM4nU5vv23btpGens6mTZuIjY3ljjvu4L777rMwchGR5iPYEcygDv192sJCAhjQN4FlSa/x9fFMvjl5gMzsA2Rmf8ve4/vZf+ogZe5Sb/92kXHkhTnJLyiraHCWYASVQFAJROT4PHdB5a3qjYjL3p4E2fHVHdpnwsB14AqAcof3FmA6cRpBBNqDCQoIItgWRq+ycQQHOQgOCiAk2EG2I5OygDxCnIGEBgYTEhhMWFAQYUHBhAeHEBYUQrDTSVRwOK1Do3E67DiddhwBNkybm2Cnk+BAp7fN4bDrEvRSb6ZpVtzwvbcZNgLsAT79ilxFmCa19q+695gewp1hOOzOyueG4rJiThSdwuMxwQQPHjyeir4e08TjMb1xJEV1qHy+iu0cLTjBqeJT3j4es+a9B48JHtNDmCOM9hGJ1fGZsPvEHkrKSyu24zl9XPVzJYYn0iYkrjpeVzFbj23FY3owPZX9wLu9qvGmaXJB7ACC7cEV28XkYM5Blmz7jE1FR7HZjNPirXidPKaHQFswF7W5xCfer7I3c6zkqPe18FD9unjHmybtgpPoHtnXO840TT7Jep9ys7xy2VMdb+V9VXtqxFDaOBO88WaXHePznBVn/hyYUBFBVb5hdOQ12Ajwrs8o3kJmyXYqR4F3XFX8FdttZWvDwODLfeJdX/IeuZ7jPv2hxvYrlzobF9LRuMDbr9RTwlrz5Rpxmd6fz8vcMzGwe7fjdns4dOgQC5e+i2EYNfarOo7T7yeM6cZN1/WnqWgSRdWePXvweDw8//zzpKSksGPHDmbOnElhYSFPPPEEAHl5eaSlpTF69Gjmz5/P9u3bufHGG4mKiuKWW26xeA9ERJq3lJhkUmKSz2j3eDwcL8wmK/8YWfnHSIlJpnPrjhQUlnL0eCFb9mdw1+pPOFV6klJP8bk3Uhbou+wowwgsgdOa3UBx5Q3ALArhm/908u00dDlGUmad+2VmdoeNw30br34Rw+HCNAGPDUwbmAaGaatcNjCwEbR9JM4TnbDbjIoDuqhj5Pb+CIOK4svA5r03ai4bBt2+uRGHLQibzcBuNzgWsZljEV9iYGAYBjX/AwNMKCtz0XrpAnoUTvQJd1f4Ygrtx6v2qHqFYfgsJ5YMJLF0gHfZZZTwRcTLtb8wp9WPfQomE2FWF7zHA74mI3ip72tpmr7LQIAnkP6nbvKuM03IDPuE7KA9VB/KVcdds61VYReSTo71OSjbmfgi5fZCn3E1x1cdKLY9MobI3B7ecSVBxznQeUEt2zptrAHtt96MrSzU2yc3fjM5SetO2wYYa32fI6AwhuiNN/gcOOYOeJvy1gfPeD1PF7C3P46dF3tfJw9uyq6cd+5BVVteeQUcTaxuSDiAcdmSusd5DFj0c9/GAZ9idN1R99hDHWDt5b6NP1qIEZFb99gvLoav+1Q3hOZh/Pj1OscBmB9eB/lR1Q0pOzEGroMv6xhXEA4f/NS38dKPMRK/rXub+3rApst8G6e8gBHgrnPsu28fhe9r/LsZexhj9Pt1jgNY/UI0uGtcEKjv5xi96thRwDwWz4oVp125NW0tRuvjtQ+o4ettbthZXt3gLMGYvKXicc2fYQNee+sr8NT2+dlTtbTVrmP7qPPu6w+aRFE1btw4xo0b513u1KkTGRkZzJs3z1tULViwgLKyMl566SWcTie9evVi69atPPnkk2ctqkpLSyktrf4Lal5exWcDXC4XLperAffo/FTF4A+xtHTKhf9QLvzH+eYiOiiK6KAoesZ29fYPdNro0C6cDu0uZNIlGwAoLCviZFEOOSW5nCrO4VRxLicLczh86gSHTp5gwvgplJc4yM0vJS+/hLVHbazM3U2Zp4QySnAbZbUH4K7lV5297gMeAMxajnaNigNbwwDsHsBz5jCgqLSEotyS6kZbPkbI+R1QfLkzy/eAqc8BjDbfnntQEOQdL2b/yr2+7WkZ53XAdHxPJF/uDK9ucJZgTN579gE1rNz4NZzMqW5I2osx9DyK1tJAPl69z7fxov0YyQfqHFuQFcJ3mw76NrbPwgisozgHvs06BvujqxuiTmD0yKtzHMC335+Ckho/a6H5GAGlZ/QzT1t2eVwcPX7ae2TL3ZzPCU5XuRtXcY15ZnjqqsMaxuk7dTbG+Xasz0Z+yLG1jKtPGOedndM3Uo+s1vZvVW2a0Al1t9tj+e/6/2b7TaKoqk1ubi7R0dX/IK5fv55hw4b5vB1w7NixPPbYY5w6dYpWrVqd8Rxz585lzpw5Z7QvW7aMkJCQhgn8f7B8+XKrQ5BKyoX/UC78R0PlwgHEEUEcEfSL6ISZdwA7EB1YcesYk8rPSPX295geSj1llLhLKXGXUeIuodhdhrscOlzcgVKXSVmZh1KXh+355RwtPU6p20Wp20VZ5b3LU06Zx0W5WY7bdNM6Npl2w2JwlZuUu03cbpNtpe1wl5ZXvG3K8FS+LafyZrgxbR7AJCoiGGebQEwTPB6T0jAneWWBlSeWKs64eA8+T7s3bICn4syNz/qWoLbjW5MaB40VZ+ZqPYgsd2C6XFQdORo1+9QYb8OOPaCyjwGmLYDy4hDvuIoYqs8p1mwLCQ7AZrdXnjGEMiOUsoIo3/gq76vTZmAviSIi2undpgHku6Jx5ZZXb8esHl/9f4MQWzThbYOq48Xk+Kn2Ptszam63RntM6yiCQkK92ywJbU32yZRzjqt61LFHeGXRZ2AYcDI4ifyT1cs1R1eNM4BgWywJ/aMqoq/s911ZKq6cojO2YVARWNVSm3YpRMW09sZbbgvl27xLKl8JAwzfiI3KF8XAoOPg9gQS4t1urt3kWGFg5RneGjEaVJxRNipaHPYgOl3RtvK5KrZ7JOBSCkv7Vj6X73aqH0NUxxjaJCV648WA/cbVmB7Tu02bUfVKVW/TMAziLksk3Bbhfa5SYjlitqrsb/Nux1YZA94z1dB+RjJ2m837+uV5WpFvXuTz/FX7aqtcxjAIbBVIbM/Y6p9DwyC7/GbcuLz9DWwV44yqOWJgMwxCEkIIvSLUu5+m6SHPM7t6OzVep8j7I7DZDJ/t1PzZx6j5uuLNmffnwYBARyn/+c9/sFJRUdF59zXM08/HNwH79u1jwIABPPHEE8ycOROAtLQ0kpOTef755739du3aRa9evdi1axc9evQ443lqO1PVvn17Tpw4QUSE9V9q6XK5WL58OWPGjMHh0He+WEm58B/Khf9QLhqeWfkZF1e5m3KPG1d5OeXlHlxud+Xb3jyYpkmpy8XatWsZdukwosN8/4iYX5qPp8avegODmr/5q86UBBgOAgOq/zBZ8bmdM8/6mKbpcygN4LA7sduq3+rj9rhxecor+lYeONkMm/fgqvL4DsMwCAxwVh9cUVEwVByg2WoclBnVYzntAK3mOgNvf6toXvgP5cJ/NNVc5OXlERMTQ25ubp21gaVnqn7729/y2GOPnbPP7t276d69+vtUDh06xLhx45gyZYq3oPpfBQYGEhgYeEa7w+Hwq4T7WzwtmXLhP5QL/6FcNLygOta7XC6+jowgJTHhjFzEUZ8/Ep75Lg85P5oX/kO58B9NLRf/TayWFlW//OUvmT59+jn7dOpU/eHiw4cPM2LECIYOHco//vEPn37x8fEcPXrUp61qOT4+HhERERERkYZgaVEVGxtLbGzsefU9dOgQI0aMYMCAAbz88svYbL7fQzJkyBAeeOABXC6Xt6pcvnw53bp1q/XzVCIiIiIiIj+EJvENiYcOHWL48OF06NCBJ554guPHj5OVlUVWVpa3z/XXX4/T6eSmm25i586dLFq0iKeffpp7773XwshFRERERKS5axJX/1u+fDn79u1j3759JCYm+qyrus5GZGQky5YtIz09nQEDBhATE8OsWbP0HVUiIiIiItKgmkRRNX369Do/ewXQt29f1q1b1/ABiYiIiIiIVGoSb/8TERERERHxVyqqRERERERE6kFFlYiIiIiISD2oqBIREREREakHFVUiIiIiIiL1oKJKRERERESkHlRUiYiIiIiI1IOKKhERERERkXpQUSUiIiIiIlIPKqpERERERETqQUWViIiIiIhIPaioEhERERERqYcAqwPwJ6ZpApCXl2dxJBVcLhdFRUXk5eXhcDisDqdFUy78h3LhP5QL/6Fc+A/lwn8oF/6jqeaiqiaoqhHORUVVDfn5+QC0b9/e4khERERERMQf5OfnExkZec4+hnk+pVcL4fF4OHz4MOHh4RiGYXU45OXl0b59e7777jsiIiKsDqdFUy78h3LhP5QL/6Fc+A/lwn8oF/6jqebCNE3y8/NJSEjAZjv3p6Z0pqoGm81GYmKi1WGcISIiokn9ADZnyoX/UC78h3LhP5QL/6Fc+A/lwn80xVzUdYaqii5UISIiIiIiUg8qqkREREREROpBRZUfCwwMZPbs2QQGBlodSounXPgP5cJ/KBf+Q7nwH8qF/1Au/EdLyIUuVCEiIiIiIlIPOlMlIiIiIiJSDyqqRERERERE6kFFlYiIiIiISD2oqBIREREREakHFVV+6rnnnqNjx44EBQUxePBgNm7caHVILc7DDz+MYRg+t+7du1sdVouxdu1aJkyYQEJCAoZh8O677/qsN02TWbNm0bZtW4KDgxk9ejR79+61Jthmrq5cTJ8+/Yy5Mm7cOGuCbcbmzp3LwIEDCQ8Pp02bNkyaNImMjAyfPiUlJaSnp9O6dWvCwsKYPHkyR48etSji5ut8cjF8+PAz5sUvfvELiyJu3ubNm0ffvn29Xyw7ZMgQlixZ4l2vedF46spFc54XKqr80KJFi7j33nuZPXs2W7ZsITU1lbFjx3Ls2DGrQ2txevXqxZEjR7y3Tz/91OqQWozCwkJSU1N57rnnal3/+OOP88wzzzB//nw+//xzQkNDGTt2LCUlJY0cafNXVy4Axo0b5zNXFi5c2IgRtgxr1qwhPT2dDRs2sHz5clwuF2lpaRQWFnr73HPPPXzwwQe89dZbrFmzhsOHD3PVVVdZGHXzdD65AJg5c6bPvHj88cctirh5S0xM5E9/+hNffPEFmzdvZuTIkUycOJGdO3cCmheNqa5cQDOeF6b4nUGDBpnp6eneZbfbbSYkJJhz5861MKqWZ/bs2WZqaqrVYYhpmoC5ePFi77LH4zHj4+PNP//5z962nJwcMzAw0Fy4cKEFEbYcp+fCNE1z2rRp5sSJEy2JpyU7duyYCZhr1qwxTbNiDjgcDvOtt97y9tm9e7cJmOvXr7cqzBbh9FyYpmledtll5l133WVdUC1cq1atzH/+85+aF36gKhem2bznhc5U+ZmysjK++OILRo8e7W2z2WyMHj2a9evXWxhZy7R3714SEhLo1KkTP/3pTzl48KDVIQmwf/9+srKyfOZJZGQkgwcP1jyxyOrVq2nTpg3dunXj1ltvJTs72+qQmr3c3FwAoqOjAfjiiy9wuVw+86J79+506NBB86KBnZ6LKgsWLCAmJobevXtz//33U1RUZEV4LYrb7eaNN96gsLCQIUOGaF5Y6PRcVGmu8yLA6gDE14kTJ3C73cTFxfm0x8XFsWfPHouiapkGDx7MK6+8Qrdu3Thy5Ahz5szh0ksvZceOHYSHh1sdXouWlZUFUOs8qVonjWfcuHFcddVVJCcnk5mZye9+9zvGjx/P+vXrsdvtVofXLHk8Hu6++24uvvhievfuDVTMC6fTSVRUlE9fzYuGVVsuAK6//nqSkpJISEhg27Zt/OY3vyEjI4N33nnHwmibr+3btzNkyBBKSkoICwtj8eLF9OzZk61bt2peNLKz5QKa97xQUSVyFuPHj/c+7tu3L4MHDyYpKYk333yTm266ycLIRPzLdddd533cp08f+vbtS+fOnVm9ejWjRo2yMLLmKz09nR07duhznn7gbLm45ZZbvI/79OlD27ZtGTVqFJmZmXTu3Lmxw2z2unXrxtatW8nNzeXtt99m2rRprFmzxuqwWqSz5aJnz57Nel7o7X9+JiYmBrvdfsZVaY4ePUp8fLxFUQlAVFQUXbt2Zd++fVaH0uJVzQXNE//UqVMnYmJiNFcayO23386HH37IqlWrSExM9LbHx8dTVlZGTk6OT3/Ni4ZztlzUZvDgwQCaFw3E6XSSkpLCgAEDmDt3LqmpqTz99NOaFxY4Wy5q05zmhYoqP+N0OhkwYAArVqzwtnk8HlasWOHzflRpfAUFBWRmZtK2bVurQ2nxkpOTiY+P95kneXl5fP7555onfuD7778nOztbc+UHZpomt99+O4sXL2blypUkJyf7rB8wYAAOh8NnXmRkZHDw4EHNix9YXbmozdatWwE0LxqJx+OhtLRU88IPVOWiNs1pXujtf37o3nvvZdq0aVx44YUMGjSIp556isLCQmbMmGF1aC3Kr371KyZMmEBSUhKHDx9m9uzZ2O12fvKTn1gdWotQUFDg85er/fv3s3XrVqKjo+nQoQN33303f/jDH+jSpQvJyck89NBDJCQkMGnSJOuCbqbOlYvo6GjmzJnD5MmTiY+PJzMzk/vuu4+UlBTGjh1rYdTNT3p6Oq+//jrvvfce4eHh3s+DREZGEhwcTGRkJDfddBP33nsv0dHRREREcMcddzBkyBAuuugii6NvXurKRWZmJq+//jqXX345rVu3Ztu2bdxzzz0MGzaMvn37Whx983P//fczfvx4OnToQH5+Pq+//jqrV69m6dKlmheN7Fy5aPbzwurLD0rtnn32WbNDhw6m0+k0Bw0aZG7YsMHqkFqca6+91mzbtq3pdDrNdu3amddee625b98+q8NqMVatWmUCZ9ymTZtmmmbFZdUfeughMy4uzgwMDDRHjRplZmRkWBt0M3WuXBQVFZlpaWlmbGys6XA4zKSkJHPmzJlmVlaW1WE3O7XlADBffvllb5/i4mLztttuM1u1amWGhISYV155pXnkyBHrgm6m6srFwYMHzWHDhpnR0dFmYGCgmZKSYv761782c3NzrQ28mbrxxhvNpKQk0+l0mrGxseaoUaPMZcuWeddrXjSec+Wiuc8LwzRNszGLOBERERERkeZEn6kSERERERGpBxVVIiIiIiIi9aCiSkREREREpB5UVImIiIiIiNSDiioREREREZF6UFElIiIiIiJSDyqqRERERERE6kFFlYiIiIiISD2oqBIRkWZj+vTpTJo0ybLtT506lUcfffS8+l533XX85S9/aeCIRESkMRimaZpWByEiIlIXwzDOuX727Nncc889mKZJVFRU4wRVw1dffcXIkSM5cOAAYWFhdfbfsWMHw4YNY//+/URGRjZChCIi0lBUVImISJOQlZXlfbxo0SJmzZpFRkaGty0sLOy8ipmGcvPNNxMQEMD8+fPPe8zAgQOZPn066enpDRiZiIg0NL39T0REmoT4+HjvLTIyEsMwfNrCwsLOePvf8OHDueOOO7j77rtp1aoVcXFxvPDCCxQWFjJjxgzCw8NJSUlhyZIlPtvasWMH48ePJywsjLi4OKZOncqJEyfOGpvb7ebtt99mwoQJPu1///vf6dKlC0FBQcTFxXH11Vf7rJ8wYQJvvPFG/V8cERGxlIoqERFp1v71r38RExPDxo0bueOOO7j11luZMmUKQ4cOZcuWLaSlpTF16lSKiooAyMnJYeTIkfTr14/Nmzfz8ccfc/ToUa655pqzbmPbtm3k5uZy4YUXets2b97MnXfeySOPPEJGRgYff/wxw4YN8xk3aNAgNm7cSGlpacPsvIiINAoVVSIi0qylpqby4IMP0qVLF+6//36CgoKIiYlh5syZdOnShVmzZpGdnc22bdsA+Nvf/ka/fv149NFH6d69O/369eOll15i1apVfP3117Vu48CBA9jtdtq0aeNtO3jwIKGhoVxxxRUkJSXRr18/7rzzTp9xCQkJlJWV+by1UUREmh4VVSIi0qz17dvX+9hut9O6dWv69OnjbYuLiwPg2LFjQMUFJ1atWuX9jFZYWBjdu3cHIDMzs9ZtFBcXExgY6HMxjTFjxpCUlESnTp2YOnUqCxYs8J4NqxIcHAxwRruIiDQtKqpERKRZczgcPsuGYfi0VRVCHo8HgIKCAiZMmMDWrVt9bnv37j3j7XtVYmJiKCoqoqyszNsWHh7Oli1bWLhwIW3btmXWrFmkpqaSk5Pj7XPy5EkAYmNjf5B9FRERa6ioEhERqaF///7s3LmTjh07kpKS4nMLDQ2tdcwFF1wAwK5du3zaAwICGD16NI8//jjbtm3j22+/ZeXKld71O3bsIDExkZiYmAbbHxERaXgqqkRERGpIT0/n5MmT/OQnP2HTpk1kZmaydOlSZsyYgdvtrnVMbGws/fv359NPP/W2ffjhhzzzzDNs3bqVAwcO8Oqrr+LxeOjWrZu3z7p160hLS2vwfRIRkYalokpERKSGhIQEPvvsM9xuN2lpafTp04e7776bqKgobLaz/9q8+eabWbBggXc5KiqKd955h5EjR9KjRw/mz5/PwoUL6dWrFwAlJSW8++67zJw5s8H3SUREGpa+/FdEROQHUFxcTLdu3Vi0aBFDhgyps/+8efNYvHgxy5Yta4ToRESkIelMlYiIyA8gODiYV1999ZxfElyTw+Hg2WefbeCoRESkMehMlYiIiIiISD3oTJWIiIiIiEg9qKgSERERERGpBxVVIiIiIiIi9aCiSkREREREpB5UVImIiIiIiNSDiioREREREZF6UFElIiIiIiJSDyqqRERERERE6kFFlYiIiIiISD38f7LOhSoV/spiAAAAAElFTkSuQmCC", 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" ] @@ -1211,10 +1220,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.549424Z", - "iopub.status.busy": "2025-11-27T09:37:08.549253Z", - "iopub.status.idle": "2025-11-27T09:37:08.664297Z", - "shell.execute_reply": "2025-11-27T09:37:08.663527Z" + "iopub.execute_input": "2025-11-27T10:46:54.885477Z", + "iopub.status.busy": "2025-11-27T10:46:54.885302Z", + "iopub.status.idle": "2025-11-27T10:46:55.088128Z", + "shell.execute_reply": "2025-11-27T10:46:55.087370Z" } }, "outputs": [ @@ -1248,16 +1257,16 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.666507Z", - "iopub.status.busy": "2025-11-27T09:37:08.666299Z", - "iopub.status.idle": "2025-11-27T09:37:08.773437Z", - "shell.execute_reply": "2025-11-27T09:37:08.772669Z" + "iopub.execute_input": "2025-11-27T10:46:55.090064Z", + "iopub.status.busy": "2025-11-27T10:46:55.089887Z", + "iopub.status.idle": "2025-11-27T10:46:55.196503Z", + "shell.execute_reply": "2025-11-27T10:46:55.195725Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1293,16 +1302,16 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.775468Z", - "iopub.status.busy": "2025-11-27T09:37:08.775311Z", - "iopub.status.idle": "2025-11-27T09:37:08.892265Z", - "shell.execute_reply": "2025-11-27T09:37:08.891410Z" + "iopub.execute_input": "2025-11-27T10:46:55.198444Z", + "iopub.status.busy": "2025-11-27T10:46:55.198260Z", + "iopub.status.idle": "2025-11-27T10:46:55.318409Z", + "shell.execute_reply": "2025-11-27T10:46:55.317576Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1344,10 +1353,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.893961Z", - "iopub.status.busy": "2025-11-27T09:37:08.893796Z", - "iopub.status.idle": "2025-11-27T09:37:08.906719Z", - "shell.execute_reply": "2025-11-27T09:37:08.905996Z" + "iopub.execute_input": "2025-11-27T10:46:55.320225Z", + "iopub.status.busy": "2025-11-27T10:46:55.320059Z", + "iopub.status.idle": "2025-11-27T10:46:55.333025Z", + "shell.execute_reply": "2025-11-27T10:46:55.332437Z" } }, "outputs": [], @@ -1380,10 +1389,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.908340Z", - "iopub.status.busy": "2025-11-27T09:37:08.908165Z", - "iopub.status.idle": "2025-11-27T09:37:08.921712Z", - "shell.execute_reply": "2025-11-27T09:37:08.920969Z" + "iopub.execute_input": "2025-11-27T10:46:55.334758Z", + "iopub.status.busy": "2025-11-27T10:46:55.334584Z", + "iopub.status.idle": "2025-11-27T10:46:55.348993Z", + "shell.execute_reply": "2025-11-27T10:46:55.348109Z" } }, "outputs": [ @@ -1396,13 +1405,13 @@ "================================================================================\n", "Metric 6 DOF 3 DOF Difference Diff %\n", "--------------------------------------------------------------------------------\n", - "Apogee (AGL) 460.56 460.85 0.29 0.06%\n", - "Time to Apogee 10.61 10.61 0.00 0.00%\n", - "Max Velocity 86.22 86.23 0.01 0.01%\n", - "Impact X -0.29 31.18 31.47 -10959.08%\n", - "Impact Y -8.15 39.81 47.96 -588.27%\n", - "Impact Velocity -19.57 -19.57 0.00 -0.00%\n", - "Flight Duration 35.55 35.50 -0.04 -0.12%\n", + "Apogee (AGL) 460.56 447.94 -12.62 -2.74%\n", + "Time to Apogee 10.61 10.49 -0.12 -1.15%\n", + "Max Velocity 86.22 84.79 -1.44 -1.67%\n", + "Impact X -0.29 30.30 30.58 -10651.28%\n", + "Impact Y -8.15 38.48 46.64 -571.99%\n", + "Impact Velocity -19.57 -19.57 -0.00 0.00%\n", + "Flight Duration 35.55 34.73 -0.81 -2.29%\n", "================================================================================\n" ] } @@ -1441,10 +1450,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.923262Z", - "iopub.status.busy": "2025-11-27T09:37:08.923101Z", - "iopub.status.idle": "2025-11-27T09:37:08.933897Z", - "shell.execute_reply": "2025-11-27T09:37:08.933350Z" + "iopub.execute_input": "2025-11-27T10:46:55.350666Z", + "iopub.status.busy": "2025-11-27T10:46:55.350496Z", + "iopub.status.idle": "2025-11-27T10:46:55.363134Z", + "shell.execute_reply": "2025-11-27T10:46:55.362471Z" } }, "outputs": [ @@ -1454,9 +1463,9 @@ "text": [ "Apogee (AGL)\n", "6 DOF: 460.56 m\n", - "3 DOF: 460.85 m\n", - "Absolute difference: 0.29 m\n", - "Relative difference: 0.06 %\n" + "3 DOF: 447.94 m\n", + "Absolute difference: 12.62 m\n", + "Relative difference: 2.74 %\n" ] } ], @@ -1478,10 +1487,10 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.935585Z", - "iopub.status.busy": "2025-11-27T09:37:08.935444Z", - "iopub.status.idle": "2025-11-27T09:37:08.945498Z", - "shell.execute_reply": "2025-11-27T09:37:08.944910Z" + "iopub.execute_input": "2025-11-27T10:46:55.364632Z", + "iopub.status.busy": "2025-11-27T10:46:55.364488Z", + "iopub.status.idle": "2025-11-27T10:46:55.375769Z", + "shell.execute_reply": "2025-11-27T10:46:55.375156Z" } }, "outputs": [ @@ -1492,9 +1501,9 @@ "\n", "Max Velocity\n", "6 DOF: 86.22 m/s\n", - "3 DOF: 86.23 m/s\n", - "Absolute difference: 0.01 m/s\n", - "Relative difference: 0.01 %\n" + "3 DOF: 84.79 m/s\n", + "Absolute difference: -1.44 m/s\n", + "Relative difference: 1.67 %\n" ] } ], @@ -1513,10 +1522,10 @@ "execution_count": 34, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.947078Z", - "iopub.status.busy": "2025-11-27T09:37:08.946946Z", - "iopub.status.idle": "2025-11-27T09:37:08.956536Z", - "shell.execute_reply": "2025-11-27T09:37:08.955877Z" + "iopub.execute_input": "2025-11-27T10:46:55.377634Z", + "iopub.status.busy": "2025-11-27T10:46:55.377452Z", + "iopub.status.idle": "2025-11-27T10:46:55.388875Z", + "shell.execute_reply": "2025-11-27T10:46:55.388208Z" } }, "outputs": [ @@ -1545,10 +1554,10 @@ "execution_count": 35, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.958148Z", - "iopub.status.busy": "2025-11-27T09:37:08.957998Z", - "iopub.status.idle": "2025-11-27T09:37:08.968722Z", - "shell.execute_reply": "2025-11-27T09:37:08.967978Z" + "iopub.execute_input": "2025-11-27T10:46:55.390406Z", + "iopub.status.busy": "2025-11-27T10:46:55.390269Z", + "iopub.status.idle": "2025-11-27T10:46:55.401932Z", + "shell.execute_reply": "2025-11-27T10:46:55.401048Z" } }, "outputs": [ @@ -1559,12 +1568,12 @@ "\n", "Landing Coordinates\n", "6 DOF: X = -0.29 m, Y = -8.15 m\n", - "3 DOF: X = 31.18 m, Y = 39.81 m\n", + "3 DOF: X = 30.30 m, Y = 38.48 m\n", "\n", "Landing distance from launch:\n", "6 DOF: 8.16 m\n", - "3 DOF: 50.57 m\n", - "Distance between landing points: 57.36 m\n" + "3 DOF: 48.98 m\n", + "Distance between landing points: 55.77 m\n" ] } ], @@ -1591,10 +1600,10 @@ "execution_count": 36, "metadata": { "execution": { - "iopub.execute_input": "2025-11-27T09:37:08.970248Z", - "iopub.status.busy": "2025-11-27T09:37:08.970091Z", - "iopub.status.idle": "2025-11-27T09:37:08.979898Z", - "shell.execute_reply": "2025-11-27T09:37:08.979173Z" + "iopub.execute_input": "2025-11-27T10:46:55.403276Z", + "iopub.status.busy": "2025-11-27T10:46:55.403136Z", + "iopub.status.idle": "2025-11-27T10:46:55.413226Z", + "shell.execute_reply": "2025-11-27T10:46:55.412558Z" } }, "outputs": [ @@ -1605,8 +1614,8 @@ "\n", "Flight Duration\n", "6 DOF: 35.55 s\n", - "3 DOF: 35.50 s\n", - "Absolute difference: 0.04 s\n" + "3 DOF: 34.73 s\n", + "Absolute difference: 0.81 s\n" ] } ],