From 10dc3d31176f1666ed98e16c92100d645953abf2 Mon Sep 17 00:00:00 2001 From: misi9170 Date: Tue, 9 Apr 2024 09:47:03 -0600 Subject: [PATCH 1/5] move artificial_data examples to FLORIS layoutviz. --- .../00_visualize_layout.py | 74 +++++++++++-------- .../01_visualize_flowfield.py | 8 +- .../03_compute_turbine_dependencies.py | 8 +- .../00_analyze_single_ws_vs_range.py | 7 +- .../00_demo_energy_ratio_syntax.ipynb | 17 +++-- .../01_demo_energy_ratio_options.ipynb | 17 +++-- .../04_energy_ratio_in_turbine_array.py | 8 +- ...timate_heterogeneity_from_energy_ratios.py | 1 - .../06_wake_steering_example.py | 10 ++- .../07_wake_steering_total_uplift.py | 10 ++- .../00_tune_floris_to_artificial_data.ipynb | 29 +++++--- 11 files changed, 119 insertions(+), 70 deletions(-) diff --git a/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py b/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py index 2904316e..a1ee7bc2 100644 --- a/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py +++ b/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py @@ -1,13 +1,8 @@ import matplotlib.pyplot as plt import numpy as np +import floris.layout_visualization as layoutviz from flasc.utilities.utilities_examples import load_floris_artificial as load_floris -from flasc.visualization import ( - plot_floris_layout, - plot_layout_only, - plot_layout_with_waking_directions, - shade_region, -) # Example demonstrates some methods for visualizing the layout of the farm # represented within the FLORIS interface @@ -21,42 +16,57 @@ # Defines alternative names for each turbine with 1-index turbine_names = ["Turbine-%d" % (t + 1) for t in range(len(fm.layout_x))] - # Plot using default 0-indexed labels (includes power/thrust curve) - plot_floris_layout(fm, plot_terrain=False) - - # Plot using default given 1-indexed labels (includes power/thrust curve) - plot_floris_layout(fm, plot_terrain=False, turbine_names=turbine_names) - - # Plot only the layout with default options - plot_layout_only(fm) - - # Plot only the layout with custom options - plot_layout_only(fm, {"turbine_names": turbine_names, "color": "g"}) - - # Plot layout with wake directions and inter-turbine distances labeled - plot_layout_with_waking_directions(fm) - - # Plot layout with wake directions and inter-turbine distances labeled - # (using custom options) - plot_layout_with_waking_directions( - fm, - limit_num=3, # limit to 3 lines per turbine - layout_plotting_dict={ - "turbine_names": turbine_names, - "turbine_indices": range(2, len(fm.layout_x)), - }, + # Plot the basic farm layout + ax = layoutviz.plot_turbine_points(fm, plotting_dict={"color": "g"}) + layoutviz.plot_turbine_labels(fm, ax=ax, turbine_names=turbine_names) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") + + # Plot using the default names and show the wake directions + turbines_to_plot = range(2, len(fm.layout_x)) + ax = layoutviz.plot_turbine_points(fm, turbine_indices=turbines_to_plot) + layoutviz.plot_turbine_labels(fm, ax=ax, turbine_indices=turbines_to_plot, turbine_names=turbine_names) + layoutviz.plot_waking_directions( + fm, + ax=ax, + limit_num=3, wake_plotting_dict={"color": "r"}, + turbine_indices=turbines_to_plot, ) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") # Demonstrate shading of an arbitrary region points_for_demo = np.array([[600, 0], [1400, 0], [1200, 1000]]) - ax = plot_layout_only(fm) - shade_region( + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax, turbine_names=turbine_names) + layoutviz.shade_region( points_for_demo, show_points=True, plotting_dict_region={"color": "blue", "label": "Example region"}, plotting_dict_points={"color": "blue", "marker": "+", "s": 50}, ax=ax, ) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") + + # Turbine data + fig, ax = plt.subplots(2,1) + ax[0].plot( + fm.core.farm.turbine_map[0].power_thrust_table["wind_speed"], + fm.core.farm.turbine_map[0].power_thrust_table["power"], + ) + ax[1].plot( + fm.core.farm.turbine_map[0].power_thrust_table["wind_speed"], + fm.core.farm.turbine_map[0].power_thrust_table["thrust_coefficient"], + ) + ax[1].set_xlabel("Wind Speed [m/s]") + ax[1].set_ylabel("Thrust coefficient [-]") + ax[0].set_ylabel("Power [kW]") + ax[0].grid() + ax[1].grid() plt.show() diff --git a/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py b/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py index f234dcd0..0ce1c797 100644 --- a/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py +++ b/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py @@ -1,9 +1,9 @@ # Copyright 2022 NREL & Shell import matplotlib.pyplot as plt +import floris.layout_visualization as layoutviz from floris.flow_visualization import visualize_cut_plane from flasc.utilities.utilities_examples import load_floris_artificial as load_floris -from flasc.visualization import plot_floris_layout if __name__ == "__main__": # User settings @@ -26,7 +26,11 @@ wind_speeds=[wind_speed], turbulence_intensities=[turbulence_intensity], ) - plot_floris_layout(fm, plot_terrain=False) + ax = layoutviz.plot_turbine_points(fm) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") + ax.set_title("Turbine layout") # Generate baseline flowfield print("Calculating flowfield...") diff --git a/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py b/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py index 59e51e9f..d471aea5 100644 --- a/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py +++ b/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py @@ -1,7 +1,7 @@ import matplotlib.pyplot as plt import numpy as np +import floris.layout_visualization as layoutviz -from flasc import visualization as fsaviz from flasc.utilities import floris_tools as fsatools from flasc.utilities.utilities_examples import load_floris_artificial as load_floris @@ -19,7 +19,11 @@ fm, _ = load_floris() # Plot the layout of the farm for reference -fsaviz.plot_layout_only(fm) +ax = layoutviz.plot_turbine_points(fm) +layoutviz.plot_turbine_labels(fm, ax=ax) +ax.grid() +ax.set_xlabel("x coordinate [m]") +ax.set_ylabel("y coordinate [m]") # Get the dependencies of turbine 2 check_directions = np.arange(0, 360.0, 2.0) diff --git a/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py b/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py index 87871b50..def6585c 100644 --- a/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py +++ b/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py @@ -1,10 +1,10 @@ import numpy as np from _local_helper_functions import evaluate_optimal_yaw_angles, optimize_yaw_angles from matplotlib import pyplot as plt +import floris.layout_visualization as layoutviz from flasc.utilities.lookup_table_tools import get_yaw_angles_interpolant from flasc.utilities.utilities_examples import load_floris_artificial as load_floris -from flasc.visualization import plot_floris_layout, plot_layout_with_waking_directions from flasc.yaw_optimizer_visualization import ( plot_offsets_wd, plot_offsets_wswd_heatmap, @@ -14,8 +14,9 @@ if __name__ == "__main__": # Load FLORIS model and plot layout (and additional information) fm, _ = load_floris() - plot_floris_layout(fm) - plot_layout_with_waking_directions(fm, limit_dist_D=5, limit_num=3) + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax) + layoutviz.plot_waking_directions(fm, ax=ax, limit_dist_D=5, limit_num=3) # Compare optimizing over all wind speeds vs. optimizing over a single wind speed AEP_baseline_array = [] diff --git a/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb b/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb index 7d15dc53..00974e33 100644 --- a/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb +++ b/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb @@ -29,11 +29,11 @@ "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", + "import floris.layout_visualization as layoutviz\n", "from floris import FlorisModel\n", "\n", "from flasc.analysis import energy_ratio as erp\n", - "from flasc.analysis.energy_ratio_input import EnergyRatioInput\n", - "from flasc.visualization import plot_layout_with_waking_directions" + "from flasc.analysis.energy_ratio_input import EnergyRatioInput" ] }, { @@ -53,7 +53,7 @@ { "data": { "text/plain": [ - "" + "Text(0, 0.5, 'y coordinate [m]')" ] }, "execution_count": 2, @@ -62,9 +62,9 @@ }, { "data": { - "image/png": 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", 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", 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" ] }, "metadata": {}, @@ -78,7 +78,12 @@ "fm.set(layout_x=[0, 0, 5 * 126], layout_y=[5 * 126, 0, 0])\n", "\n", "# # Show the wind farm\n", - "plot_layout_with_waking_directions(fm)" + "ax = layoutviz.plot_turbine_points(fm)\n", + "layoutviz.plot_turbine_labels(fm, ax=ax)\n", + "layoutviz.plot_waking_directions(fm, ax=ax)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", + "ax.set_ylabel(\"y coordinate [m]\")" ] }, { diff --git a/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb b/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb index 221fe9f8..5f0bacde 100644 --- a/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb +++ b/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb @@ -26,12 +26,12 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", + "import floris.layout_visualization as layoutviz\n", "from floris import FlorisModel\n", "\n", "from flasc.analysis import energy_ratio as erp\n", "from flasc.analysis.energy_ratio_input import EnergyRatioInput\n", - "from flasc.data_processing import dataframe_manipulations as dfm\n", - "from flasc.visualization import plot_layout_with_waking_directions" + "from flasc.data_processing import dataframe_manipulations as dfm" ] }, { @@ -51,7 +51,7 @@ { "data": { "text/plain": [ - "" + "Text(0, 0.5, 'y coordinate [m]')" ] }, "execution_count": 2, @@ -60,9 +60,9 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -76,7 +76,12 @@ "fm.set(layout_x=[0, 0, 5 * 126, 6 * 126], layout_y=[0, 5 * 126, 0, 5 * 126])\n", "\n", "# # Show the wind farm\n", - "plot_layout_with_waking_directions(fm)" + "ax = layoutviz.plot_turbine_points(fm)\n", + "layoutviz.plot_turbine_labels(fm, ax=ax)\n", + "layoutviz.plot_waking_directions(fm, ax=ax)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", + "ax.set_ylabel(\"y coordinate [m]\")" ] }, { diff --git a/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py b/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py index b5b1a130..f654ebeb 100644 --- a/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py +++ b/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py @@ -3,6 +3,7 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd +import floris.layout_visualization as layoutviz from floris.flow_visualization import visualize_cut_plane from floris.utilities import wrap_360 @@ -10,7 +11,6 @@ from flasc.analysis.energy_ratio_input import EnergyRatioInput from flasc.data_processing import dataframe_manipulations as dfm from flasc.utilities.utilities_examples import load_floris_artificial as load_floris -from flasc.visualization import plot_floris_layout def load_data(): @@ -169,7 +169,11 @@ def plot_energy_ratios(turbine_array, results_energy_ratio, ax=None, label=None) ax = plot_energy_ratios(turbine_array, results_energy_ratio) # Also plot wake situation according to FLORIS - plot_floris_layout(fm, plot_terrain=False) + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") fig, ax = plt.subplots() fm.set(wind_directions=[wd], wind_speeds=[10.0]) diff --git a/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py b/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py index 99ee1d02..cba84174 100644 --- a/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py +++ b/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py @@ -8,7 +8,6 @@ from flasc.data_processing import dataframe_manipulations as dfm from flasc.utilities import floris_tools as ftools -# from flasc.visualization import plot_floris_layout from flasc.utilities.utilities_examples import load_floris_artificial as load_floris diff --git a/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py b/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py index bc51fb08..e843e84d 100644 --- a/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py +++ b/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py @@ -2,11 +2,12 @@ import numpy as np import pandas as pd import seaborn as sns +import floris.layout_visualization as layoutviz from flasc.analysis import energy_ratio as er from flasc.analysis.energy_ratio_input import EnergyRatioInput from flasc.utilities.utilities_examples import load_floris_artificial as load_floris -from flasc.visualization import plot_binned_mean_and_ci, plot_layout_with_waking_directions +from flasc.visualization import plot_binned_mean_and_ci if __name__ == "__main__": # Construct a simple 3-turbine wind farm with a @@ -19,7 +20,12 @@ fm.set(layout_x=[0, 0, 5 * 126], layout_y=[5 * 126, 0, 0]) # Show the wind farm - plot_layout_with_waking_directions(fm) + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax) + layoutviz.plot_waking_directions(fm, ax=ax) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") # Create a time history of points where the wind speed and wind # direction step different combinations diff --git a/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py b/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py index 023a122f..17982089 100644 --- a/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py +++ b/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py @@ -1,11 +1,12 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd +import floris.layout_visualization as layoutviz from flasc.analysis import total_uplift as tup from flasc.analysis.energy_ratio_input import EnergyRatioInput from flasc.utilities.utilities_examples import load_floris_artificial as load_floris -from flasc.visualization import plot_binned_mean_and_ci, plot_layout_with_waking_directions +from flasc.visualization import plot_binned_mean_and_ci if __name__ == "__main__": # Generate the data as in example 05_wake_steering_example.py @@ -20,7 +21,12 @@ fm.set(layout_x=[0, 0, 5 * 126], layout_y=[5 * 126, 0, 0]) # Show the wind farm - plot_layout_with_waking_directions(fm) + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax) + layoutviz.plot_waking_directions(fm, ax=ax) + ax.grid() + ax.set_xlabel("x coordinate [m]") + ax.set_ylabel("y coordinate [m]") # Create a time history of points where the wind speed and wind # direction step different combinations diff --git a/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb b/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb index 3ae72cf7..f7fed4fd 100644 --- a/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb +++ b/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 5, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -13,6 +13,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", + "import floris.layout_visualization as layoutviz\n", "from floris import FlorisModel\n", "\n", "import flasc.model_fitting.floris_tuning as ft\n", @@ -22,7 +23,6 @@ "\n", "## Tune wake steering on total uplift\n", "from flasc.utilities.tuner_utilities import set_fm_param\n", - "from flasc.visualization import plot_layout_with_waking_directions\n", "\n", "warnings.filterwarnings(\"ignore\")" ] @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -69,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 55, "metadata": {}, "outputs": [ { @@ -126,7 +126,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 56, "metadata": {}, "outputs": [], "source": [ @@ -140,22 +140,22 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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OREREiI8//ljUrVtXNGrUSAwYMEBoNBohhBCzZs2S9r9u3bo6x3zJkiXCy8tL1K1bV2zZsqVE96WsKal8yBcUFCTeeecdRf3OLC/5sGXLFlG3bt1Sz4fc3Fxx//59adQaQ5Tl0ZOEEOLOnTvi5MmTBdrj4uIKjECUk5Mjjh07JpKTk4UQQqSnp4uoqCgRHx8v0tLSRHJysjh79qw0cpCxPM/xo+IpidGTWDQUAYsGKk1///23GDt2rGjTpo0YO3as+Pvvv596kjRx4kTh7++v03b58mUBoMAfkbVr1worKyuxdevWUoy+ZDx8+FA4OjqK1NTUAtNCQ0Olk+bHv37cF198IebPny+9nz9/vqhdu7bIzMwskfg2b94sunfvLnJzc8W9e/dE06ZNRU5OjtBoNMLb21ucO3dOPHjwQNStW1fcvXtXWq5Vq1YiMzNT7Ny5U2g0GqHVakWfPn3EsmXLCmxjyZIlol+/fkIIIe7evSvq1q0rUlJSxM2bN4W3t7d0YlXe/f3332LcuHGiV69eYty4cSWWD4/75JNPRMuWLRX7O7Os58ONGzfEw4cPSzUfsrKyjF803L8vhI2NEGp10QoGtTpv/seG9yxOrNevXxexsbHi+vXrIiMj46lFw40bN8TZs2d12jIzM8WxY8ekYUJjY2PFpUuXdOZJSUkRx44dE1lZWcWO01AsGoyPQ64SlXHLly9H/fr1MXv2bBw4cACzZ89G/fr1ceDAgULnDwwMxJkzZ6Th2gAgIiICdnZ28PHxkdrWrl2LAQMGYO3atejevXup78fz2rx5Mzp27FhgZA4hBA4dOiTtwzvvvIMtW7Y8c33Dhg2Dh4cHtm/fXiLxnT9/Hm3btoVarUaVKlXg6OiIY8eO4ejRo/Dx8YGbmxtsbW3RtWtX7Ny5EwCQmJgIOzs7WFhYIDg4GKamplCpVGjWrBlu3rxZYBu///473nrrLQBAeHg4unXrhkqVKsHNzQ0+Pj44duxYieyLkuXnwzfffIPff/8d33zzTYnkw5OioqJ0RnZRmrKcDw0bNoS7u3v5zAcHB2DDhrxbjp51641anTffxo15yxXD3bt3cfbsWSQkJCApKQkJCQk4e/YsUp/SKdvW1hYZGRk6owGlpKTAxMQElpaWAAofcaqkRgmi8o9FA5FM/vnnHwwePBharRa5ubkQQiA3NxdarRY///xzob/cO3fuDB8fH7z77ruIjo5GeHg4Pv/8cwwdOhQWFhYAgDVr1qBv37747rvv0KJFCyQkJCAhIQEPHjww9i4W2eMnCI+7d+8eqlSpIv1Ryx8JpCiaNGmiM0Tn8/Dz80NYWBiysrJw/fp1HD9+HDdv3sStW7fg7u4uzfd4fBEREejUqZPOenJycrBmzRp07txZp/3u3buIjo6W5te33vLqyXx4/P/nyYc5c+bgzz//xKVLl3D27FmMGjUK//vf/zB06FBj72KRMR8UnA8hIcC2bYCVVV5R8OQJd36blRUQFgY8sW9FlZmZiStXrhQ67e7du4U+n8LOzg5WVlaIi4tDeno6Hjx4gJs3b6JatWpS/wIHBwckJycjMTERWVlZSE1NxbVr12BjY6Mz2hhRYVg0EMnk559/1vsJT2GPkDcxMcHWrVthYmKCwMBAvPPOO+jbty++/PJLaZ6ffvoJOTk5GDp0KFxdXaXXyJEjS2U/nldKSgoOHTqEbt26leh6C/ujWlxdunRBu3bt0KJFCwwZMgStW7eGiYmJ3mXCw8MREhKi0zZ27Fi0bNkSLVq00GnfuHEjevToUWA874qktPIhOzsbH3/8MXx9fdG2bVtER0dj165d6NixY6nsx/NiPpSBfAgJAW7cAObMATw9dad5eua137xZ7IIBgPTgs6cp7HiqVCp4eXlBpVLhwoULiIuLg6Ojo07BVbVqVVSvXh2JiYk4d+4cYmNjYWlpiTp16hQ7Vqo4ZH1Ow4wZM7Bx40ZcuHABVlZWePHFF/H111+jXr160jzt2rXD3r17dZb74IMPsHjxYun9tWvX8OGHH0pPJezXrx9mzJihM2ZwZGQkxowZg3PnzsHDwwOff/45+vfvX+r7SPQ0V65ceeof8vz2J8elf1z+yAq//vorfv31V51pT44oAwA7duzQu77S4OXlhbVr1yItLQ1ZWVmFzrN161a88MILhX4KKoRAYmIioqKioFKpcODAAVhYWCA6OlpnvoSEBGRlZem0HzhwAO+8845O25kzZzB16lQAwLhx47Bp0yZcuHABderUQZ8+fXSmNWnSRGcbPXv2RM+ePQHk/Q7Kzc1FWloazp8/Lz0sKSoqCo0aNUJUVBROnDiBnJwcafvr1q3D0aNHMW/evALxL1u2DAMHDpTaNRoNzp07J72PiYlB8+bNCyxnYWEBGxsb9O7dG5cuXSr0+1tWJCcnP3WIxufNByDvWQ9A3q01vXv3ltabnZ0tPYm9tFWEfIiJiZG2UZr58MILL0h5l3/sipoP1atXx1dffYWsrKznO+5t2wJBQTB58ADqtDRobWyQa2+fd6XhKVcJiurxp5oXJv8ZA0+ysLCAt7e33mWdnZ0L/RtB9Ewl2MfCYCEhIWL58uXi7NmzIioqSnTr1k3UqFFDp/NX27ZtxXvvvSfi4+Ol1+MdNXJyckSjRo1Ep06dxKlTp0RYWJioWrWqGD9+vDTP5cuXhbW1tRgzZoyIiYkR8+fPFyYmJmLHjh1FipMdoak0jBs3TpiYmAgABV4mJiZi3LhxcodoFC+99JLYvHnzU6e/+uqrUmfP119/vdB5n+z4uXDhQlGnTp0S6/ip0WhEUlKSEEKIAwcOiNatW0vtXl5eBTpCR0VFif79+0vLb926VQQEBBT6O+T27dvC1dVV5OTkSG137tzR6fjp5eVV7jtCy5EPSvydWR7y4cmO0KWRD7J0hDai69evi2PHjj31df36dblDfC7sCG185W70pMTERAFA7N27V2pr27atGDly5FOXCQsLE2q1WiQkJEhtixYtEnZ2dtJIAJ9++qlo2LChznJvvfWWCAkJKVJcLBqoNPz9999CrVYXepKkVqvFP//8I3eIpS45OVk4OTkVGLVj0KBB4tixY0KIvO9TkyZNhKenp3jvvfcK/SPz5BCTvXv3FlevXi2xOFNTU0WDBg1EgwYNRNu2bUVsbKw07b///a+oU6eOqFOnjvjxxx+FEEJ8/fXXYs2aNdI8derUETVq1JCGk5w2bZo0beHChWLIkCEFtvnjjz+KOnXqCG9vb/Hnn3+W2L4olRz5oLTfmeUhH/7880/h7e1d6vkgy5CrRpSRkaG3aFBy7EXBosH4SqJoUAlRgjc6PqdLly7B29sbZ86cQaNGjQDk3Z507tw5CCHg4uKCl19+GRMnToS1tTUAYNKkSdi8ebPOY8Dj4uLg6emJkydPIiAgAEFBQWjSpAnmzJkjzbN8+XKMGjWq0M6hWVlZOpeOU1JS4OHhgbt37yrzYRv/0mg0iIiIQHBwsHLvBSUdq1atwvvvvw+VSoXc3FyYmJhACIGffvoJffv2lTu8EmFqalqi91MrjRACDx8+RKVKlaRbHTp37ow1a9agatWqpb59lUr1zFsZygpj54McvzPLez4UpjTyobC8A4qWD5mZmbh+/Tpq1aoljSqkRPfu3cPVq1cLtNesWROOjo4yRFRynnb8qPTkd6738PAo8HOfkpKCqlWr4sGDB3rPcxVTNGi1WvTo0QPJyck6w+v99NNPqFmzJtzc3HD69Gl89tlnaN68OTZu3AgAeP/993H16lWEh4dLy6Snp8PGxgZhYWHo2rUr6tatiwEDBmD8+PHSPGFhYejevTvS09NhZWWlE8vkyZMxZcqUAjGuWbNGKlaISkp8fDx27dqFzZs3o0ePHujUqZOih4M0hK2tLQIDA5GTk1Po6Df0fNRqNUxNTXH48OGnDsNY1jAfqLiKmg+mpqZwcXGBh4eH4kcMys7OxsOHD5GcnAwHBwdUqlRJ8TGTMmVnZ+P69etISEgoUFinp6ejT58+zywaZO0I/bihQ4fi7NmzBcbjfv/996WvfX194erqio4dOyI2NrbUevuPHz8eY8aMkd7nX2no3LkzrzRQqejbty/c3d2xatWqcnfsyvsnq3J/YqZSqRAUFGT07ZamQYMGoXr16li7dm2pbodXGsoufVcanpUP+VcabG1tn/tKgxAC9zLuITU7FbbmtnC0cizx3wNVq1bF6dOnUbt27RJdrzFFRkaiY8eOuHfvHhwcHIzye/PKlSuoU6cOTpw4gcaNGxcprvIsMzMTVlZWCAoKKvRKQ1EoomgYNmwYtm7din379qF69ep6580fmu3SpUuoU6cOXFxccPToUZ15bt++DeDRSBsuLi5S2+Pz5I9p/CQLCwtpjO/HmZmZlYkTurISJxVUXo9deb78nP+JsUqlksZCN7by+jNjrP0ydt6V53wwFn1596xjmZubKy1X3JxNzkzGyqiVmH90PmLvx0rtdSrXwfDmw9GvcT84WDoUa92FeXw/ExISMH36dGzbtg03b96Ek5MTGjdujFGjRpXoUMLt2rVD48aNdW7tLq782PO/548fv3379qF9+/Z6l9+zZw/atWv3XNssTOvWrREfH4/KlSuX+7xUq9XS79Unc6Sov/9kLRqEEBg+fDj++9//IjIyskhVdH7fhfzL1YGBgZg+fToSExPh5OQEoOATQQMDAxEWFqaznoiICAQGBpbg3hAREVF5F34pHKG/hyJdk15g2uX7lzE6fDQm/G8CNry5ASFeIYWsofiuXLmCVq1awcHBAd988w18fX2h0WgQHh6OoUOH4sKFCyW6vWcR/z6U9PEh7g314osvIj4+Xno/cuRIpKSkYPny5VJblSpVDFpnYc91KYy5ubnRhyIvy2R9uNvQoUPx66+/Ys2aNahUqZL05NqMjAwAQGxsLKZOnYoTJ07gypUr2Lx5M/r27YugoCD4+fkBKNoTQYcMGYLLly/j008/xYULF7Bw4UL8/vvvGD16tGz7TkRERGVL+KVwdF/THRmaDIh//z0uvy1Dk4Hua7oj/FL4U9ZUPB999BFUKhWOHj2K0NBQ1K1bFw0bNsSYMWPw119/SfNdu3YNr7zyCmxtbWFnZ4c333xT546LyZMno3Hjxvjll19Qq1Yt2Nvbo1evXnj48CEAoH///ti7dy/mzp0rPQvjypUriIyMhEqlwvbt29G0aVNYWFjgwIEDyMrKwogRI+Dk5ARLS0u0bt0ax44dK9I+5Z+457+srKxgYWEhve/Vqxc+/fRTnWV69uyp86ytWrVqYerUqejbty/s7Ox0bm2/cOECXnzxRVhaWqJRo0Y6z/7K35/k5GQAwIoVK+Dg4IDw8HA0aNAAtra26NKli05RAwBLly5FgwYNYGlpifr162PhwoVF2teyTtaiYdGiRXjw4AHatWun8+TadevWAcj7Qdq1axc6d+6M+vXr4+OPP0ZoaCi2bNkiraMoTwStXbs2tm3bhoiICPj7++O7777D0qVLCzydkoioOOS6LYmoIjN23iVnJiP091AIIaCF/o7sWmghhEDo76FIzkwuke0nJSVhx44dGDp0KGxsbApMz78nX6vV4pVXXkFSUhL27t2LiIgIXL58GW+99ZbO/LGxsdi0aRO2bt2KrVu3Yu/evZg5cyYAYO7cuQgMDMR7772H+Ph4xMfHw8PDQ1p23LhxmDlzJs6fPw8/Pz98+umn2LBhA1auXImTJ0/Cy8sLISEhSEpKKpF9L4pvv/0W/v7+OHXqFCZOnCi1jx07Fh9//DFOnTqFwMBAvPzyy7h3795T15Oeno5vv/0Wv/zyC/bt24dr167hk08+kaavXr0akyZNwvTp03H+/Hl89dVXmDhxIlauXFmq+6cEst+epI+Hh0eBp0EXpmbNmgVuP3pSu3btcOrUKYPiIyJ6FpVKBVNT03J/PyyRksiRdyujViJdk17g6sLTaKFFuiYdq6JXYUSLEc+9/UuXLkEIgfr16+udb/fu3Thz5gzi4uKkE/1Vq1ahYcOGOHbsGF544YW8+LRarFixApUqVQIAvPvuu9i9ezemT58Oe3t7mJubw9rautDbd7788ksEBwcDANLS0rBo0SKsWLECXbt2BQAsWbIEERERWLZsGcaOHfvc+14UHTp0wMcffyy9v/LvU7mHDRuG0NBQAHkfVu/YsQPLli0rcPUin0ajweLFi6XBdoYNG6bzQfQXX3yB7777Dq+99hqAvA+mY2Ji8OOPP6Jfv36lsWuKwY/HiIieQ05ODg4fPlxunpVAVBYYO++EEJh/dH6xlp13ZF6JjJhV1HWcP38eHh4eOlcGfHx84ODggPPnz0tttWrVkgoGIK+vaGJiYpG20axZM+nr2NhYaDQatGrVSmozMzND8+bNdbZX2h6P6XGP9181NTVFs2bN9MZlbW2tMzrn49+XtLQ0xMbGYtCgQbC1tZVe06ZNQ2xs7NNWWW4oYvQkIqKyrLw8I4GoLDFm3t3LuKczSlJRCQjE3o9FUkYSHK2f74Fs3t7eUKlUJdbZ+ckRc1QqVZGfH1LY7VGlRa1WFyiYNBpNgflKKqbCvi/528//mVuyZIk0mmc+ExOTEtm+kvFKAxEREZEeqdnPV6A8zH743DFUqVIFISEhWLBgAdLS0gpMz+/M26BBA1y/fh3Xr1+XpsXExCA5OVkaVbIozM3NkZub+8z56tSpA3Nzcxw8eFBq02g0OHbsmEHbe5pq1arpdETOzc3F2bNni7z84x3Ec3JycOLECTRo0KBYsTg7O8PNzQ2XL1+Gl5eXzqssP0ejqHilgYiIiEgPW3Pb51q+knmlZ89UBAsWLECrVq3QvHlzfPnll/Dz80NOTg4iIiKwaNEinD9/Hp06dYKvry/efvttzJkzBzk5Ofjoo4/Qtm3bp97CU5hatWrhyJEjuHLlCmxtbZ867KmNjQ0+/PBDjB07FlWqVEGNGjUwa9YspKenY9CgQc+9zx06dMCYMWOwbds21KlTB7Nnz5YKpKJYsGABvL290aBBA3z//fe4f/8+Bg4cWOx4pkyZghEjRsDe3h5dunRBVlYWjh8/jvv37+s8GLg8YtFAREREpIejlSPqVK6Dy/cvF7kjNACooIJnZU9UsTLsOQNP4+npiZMnT2L69On4+OOPER8fj2rVqqFp06ZYtGhR3jZVKvz5558YPnw4goKCoFar0aVLF8yfb1ifjE8++QT9+vWDj48PMjIyEBcX99R5Z86cCa1Wi3fffRcPHz5Es2bNEB4ejsqVKz/X/gLAwIEDER0djb59+8LU1BSjR49+5sPgnoxt5syZiIqKgpeXFzZv3oyqVasWO57BgwfD2toa33zzDcaOHQsbGxv4+vpi1KhRxV5nWaESfJ79M6WkpMDe3h4PHjyAnZ2d3OE8lUajQVhYGLp161YunxBbnmk0Gjg5OSExMZHHroxh3pUOFxcXJCQklOo2eOzKruc5dpmZmYiLi0Pt2rVhaWlZ5OXm/jUXo8NHG1w0zOky57lHT4qOjoa/v/9zrUNJtFotUlJSYGdnxyGrjUTfz31Rz3N5pIiIiIieoV/jfrA2s4a6iKdOapUa1mbW6Ovft5QjIzIOFg1EREREz+Bg6YANb26ASqV6ZuGghhoqqLDxrY1wsHQwToBEpYxFAxEREVERhHiFYFufbbAys4Lq33+Py2+zMrNC2Nth6Fyns0yREpU8Fg1ERERERRTiFYIbY25gTpc58KzsqTPNs7In5nSZg5tjbrJgoHKHoycRERERGcDB0gEjWozA8ObDkZSRhIfZD1HJvBKqWFWBSqV69gqIyiAWDURERETFoFKp4Gjt+NxPeyYqC3h7EhERERER6cWigYiIiIiI9OLtSURERETFIARw7x6QmgrY2gKOjgC7NFB5xSsNRERERAZITgbmzgW8vYFq1YDatfP+9/bOa09Oli82lUqFTZs2leg6J0+ejMaNG5foOktCZGQkVCoVkuX8hhdBrVq1MGfOHL3zlMZxK2ksGoiIiIiKKDwcqF4dGD0auHxZd9rly3nt1avnzVfS7ty5gw8//BA1atSAhYUFXFxcEBISgoMHD0rzxMfHo2vXriW/8eewePFiVKpUCTk5OVJbamoqLCws0K5dO5158wuB2NhYI0eZd+Ku7zV58uRS27YSj9uTeHsSERERURGEhwPdu+fdliREwen5bRkZefNt2waEhJTc9kNDQ5GdnY2VK1fC09MTt2/fxu7du3Hv3j1pHhcXl5LbYAlp3749UlNTcfz4cbRs2RIAcPjwYbi4uODIkSPIzMyEpaUlAGDPnj2oUaMG6tSpY/Q44+Pjpa/XrVuHSZMm4eLFi1Kbra2tQevLzs6Gubl5keZV4nF7Eq80EBERET1DcjIQGppXGGi1+ufVavPmCw0tuVuVkpOTsX//fnz99ddo3749atasiebNm2P8+PHo0aOHNN/jt7lcuXIFKpUKGzduRPv27WFtbQ1/f38cPnxYZ91LliyBh4cHrK2t8eqrr2L27NlwcHDQG8/SpUvRoEEDWFpaon79+li4cOFT561Xrx5cXV0RGRkptR04cAA9evRA7dq18ddff0ntkZGRaN++PQDgl19+QbNmzVCpUiW4uLigT58+SExMfOp20tPT0bVrV7Rq1Uq6ZcmQOF1cXKSXvb09VCqV9H7x4sVo3bq1zvxz5sxBrVq1pPf9+/dHz549MX36dLi5uaFevXrStIcPH6J3796wsbGBu7s7FixYoLOu4hy3AwcOoE2bNrCysoKHhwdGjBiBtLS0p+7f82LRQERERPQMK1cC6enPLhjyabV5869aVTLbt7W1ha2tLTZt2oSsrCyDlp0wYQI++eQTREVFoW7duujdu7d0q9DBgwcxZMgQjBw5ElFRUQgODsb06dP1rm/16tWYNGkSpk+fjvPnz+Orr77CxIkTsXLlyqcu0759e+zZs0d6f+DAAbRt2xZt27aV2jMyMnDkyBGpaNBoNJg6dSqio6OxadMmXLlyBf379y90/cnJyQgODoZWq0VERAQcHByKFefz2r17Ny5evIiIiAhs3bpVav/mm2/g7++PU6dOYdy4cRg5ciQiIiL0rkvfcYuNjUWXLl0QGhqK06dPY926dThw4ACGDRtWavsGQc/04MEDAUA8ePBA7lD0ys7OFps2bRLZ2dlyh0IGys7OFg4ODjx2ZRDzrnQ4OzuX+jZ47Mqu5zl2GRkZIiYmRmRkZBR5Ga1WiDp1hFCp8m9MKtpLpcpbTqs1OEwdUVFRQggh1q9fLypXriwsLS3Fiy++KMaPHy+io6N15gUg/vvf/wohhIiLixMAxNKlS6Xp586dEwDE+fPnhRBCvPXWW6J79+4663j77beFvb299P6LL74Q/v7+0vs6deqINWvW6CwzdepUERgY+NR9WLJkibCxsREajUYkJycLU1NTkZCQINasWSOCgoKEEELs3r1bABBXr14tdB3Hjh0TAMTDhw+FEELs2bNH2hc/Pz8RGhoqsrKynivOfMuXL9f7PRBCiO+//17UrFlTet+vXz/h7OysE4MQQtSsWVN06dJFp+2tt94SXbt2ld4betwGDRok3n//fZ117t+/X6jV6kJ/tvX93Bf1PJdXGoiIiIj0uHcPiI0tvB+DPkLkLZeUVDJxhIaG4tatW9i8eTO6dOmCyMhINGnSBCtWrNC7nJ+fn/S1q6srAEi3+Vy8eBHNmzfXmf/J949LS0tDbGwsBg0aJF39sLW1xbRp0/R2Xm7Xrh3S0tJw7Ngx7N+/H15eXqhWrRratm0r9WuIjIyEp6cnatSoAQA4ceIEXn75ZdSoUQOVKlVC27ZtAQDXrl3TWXdwcDC8vLywbt06qQ9BceN8Xr6+voX2YwgMDCzw/vz583rXpe+4RUdHY8WKFTr7FhISAq1Wi7i4uOfdjUKxIzQRERGRHqmpz7f8w4d5z3AoCZaWlggODkZwcDAmTpyIwYMH44svvnjqbTsAYGZmJn2t+vdBEtqi3mf1hNR/vxlLlixBixYtdKaZmJg8dTkvLy9Ur14de/bsQVJSEl588UUAgJubGzw8PHDo0CHs2bMHHTp0AJB30h8SEoKQkBCsXr0a1apVw7Vr1xASEoLs7GyddXfv3h0bNmxATEwMfH19nyvOp1Gr1RBPVI0ajabAfDY2Ngav+2n0HbfU1FR88MEHGDFiRIHl8ouuksaigYiIiEgPAwfNKaBSpZKJozA+Pj7PNb5/vXr1cOzYMZ22J98/ztnZGW5ubrh8+TLefvttg7bVvn17REZG4v79+/joo4+k9qCgIGzfvh1Hjx7Fhx9+CAC4cOEC7t27h5kzZ8LDwwMAcPz48ULXO3PmTNja2qJjx46IjIyEj4/Pc8VZmGrVqiEhIQFCCOkEPioqqsjLP97ZO/99gwYNih1PkyZNEBMTAy8vr2Kvw1AsGoiIiIj0cHQE6tTJew6DIbcoqVSApydQpcrzx3Dv3j288cYbGDhwIPz8/FCpUiUcP34cs2bNwiuvvFLs9Q4fPhxBQUGYPXs2Xn75Zfzvf//D9u3bpRPjwkyZMgUjRoyAvb09unTpgqysLBw/fhz379/HmDFjnrpc+/btMXToUGg0GrRq1Upqb9u2LYYNG4bs7GypE3SNGjVgbm6O+fPnY8iQITh79iymTp361HV/++23yM3NRYcOHRAZGYn69esXO87CtGvXDnfu3MGsWbPw+uuvY8eOHdi+fTvs7OyKtPzBgwcxa9Ys9OzZExEREfjjjz+wbds2g2J43GeffYaWLVti2LBhGDx4MGxsbBATE4OIiAj88MMPxV6vPuzTQERERKSHSgUMH168ZUeMyFv+edna2qJFixb4/vvvERQUhEaNGmHixIl47733nusksVWrVli8eDFmz54Nf39/7NixA6NHj5aem1CYwYMHY+nSpVi+fDl8fX3Rtm1brFixArVr19a7rfbt2yMjIwNeXl5wcnKS2tu2bYuHDx9KQ7MCeZ/sr1ixAn/88Qd8fHwwc+ZMfPvtt3rX//333+PNN99Ehw4d8Pfffxc7zsI0aNAACxcuxIIFC+Dv74+jR4/ik08+KfLyH3/8MY4fP46AgABMmzYNs2fPRshzPMTDz88Pe/fuxd9//402bdogICAAkyZNgpubW7HX+Swq8eQNWlRASkoK7O3t8eDBgyJXlHLQaDQICwtDt27ddO6DI+XTaDRwcnJCYmIij10Zw7wrHS4uLkhISCjVbfDYlV3Pc+wyMzMRFxeH2rVr6z0xflJyct6TnjMyijbsqloNWFkBN24Az3jkwTNFR0fD39//+VZigPfeew8XLlzA/v37S2X9Wq0WKSkpsLOzg1rNz6+NQd/PfVHPc3mkiIiIiJ7BwQHYsCHvqsGzznPV6rz5Nm58/oLBGL799ltER0fj0qVLmD9/PlauXIl+/frJHRYpDIsGIiIioiIICQG2bcu7gqBSFbztKL/NygoICwM6d5YnTkMdPXoUwcHB8PX1xeLFizFv3jwMHjxY7rBIYdgRmoiIiKiIQkLybjlatQqYNy/vOQz5PD3z+jD06wfY28sXo6F+//13uUOgMoBFAxEREZEBHBzyioPhw/Me3PbwYd6wqlWqlEynZyIlYtFAREREVAwqVd5wrCX14DYiJWOfBiIiIiIi0otFAxERERER6cWigYiIiIiI9GKfBiIiIqJiEEJAc0+D3NRcmNiawMzRDCr2hKZyilcaiIiIiAygSdbgxtwbOOJ9BIeqHcKR2v/+730EN+begCZZI3eI5UpkZCRUKhWSk5PlDkWvWrVqYc6cOXrnUalU2LRpk1HiKWksGoiIiIiKKCk8CYerH8al0ZeQeTlTZ1rm5UxcGn0Jh6sfRlJ4Uolvu3///lCpVFCpVDAzM4OzszOCg4Px888/Q6vVlvj2DLV48WJUqlQJOTk5UltqairMzMzQrl07nXkPHDgAExMTxD7+oAsjyf8ePu01efLkUtt2fHw8unbtWmrrL00sGoiIiIiKICk8Cae7n4Y2QwsI5L0e92+bNkOL091Pl0rh0KVLF8THx+PKlSvYvn072rdvj5EjR+Kll17SOVmXQ/v27ZGamorjx49Lbfv374eLiwuOHDmCzMxMnfYaNWqgTp06Ro8zPj5ees2ZMwd2dnY6bZ988olB68vOzi7yvC4uLrCwsDA0ZEVg0UBERET0DJpkDc6Gns0rDJ71ob4WgADOhp4t8VuVLCws4OLiAnd3dzRp0gT/+c9/8Oeff2L79u1YsWKFNF9ycjIGDx6MatWqwc7ODh06dEB0dLTOuv788080adIElpaW8PT0xJQpU3QKD5VKhUWLFqFr166wsrKCp6cn1q9f/9TY6tWrB1dXV0RGRkptkZGReOWVV1C7dm389ddfUvuBAwekqw+//PILmjVrhkqVKsHFxQV9+vRBYmLiU7eTnp6Orl27olWrVtItS0uXLkWDBg1gaWmJ+vXrY+HChU9d3sXFRXrZ29tDpVJJ7xcvXozWrVvrzD9nzhzUqlVLet+/f3/07NkT06dPh5ubG+rVqydNe/jwIXr37g0bGxu4u7tjwYIFOut6/PakK1euQKVSYePGjWjfvj2sra3h7++Pw4cP6yxz4MABtGnTBlZWVvDw8MCIESOQlpb21P0rLSwaiIiIiJ7h9srb0KZrn10w5NMC2nQtbq+6XapxAUCHDh3g7++PjRs3Sm1vvPEGEhMTsX37dpw4cQJNmjRBx44dkZSUd/Vj//796Nu3L0aOHImYmBj8+OOPWLFiBaZPn66z7okTJyI0NBTR0dF4++230atXL5w/f/6psbRv3x579uyR3u/Zswft2rVD27ZtpfaMjAycOHFCKho0Gg2mTp2K6OhobNq0CVeuXEH//v0LXX9ycjKCg4Oh1WoREREBBwcHrF69GpMmTcL06dNx/vx5fPXVV5g4cSJWrlxZnG9nkezevRsXL15EREQEtm7dKrV/88038Pf3x6lTpzBu3DiMHDkSERERetc1YcIEfPLJJ4iKikLdunXRu3dvqXiLjY1Fly5dEBoaitOnT2PdunU4cOAAhg0bVmr79jQsGoiIiIj0EELgxvwbxVr2xrwbEOLJ+5hKXv369XHlyhUAeZ9MHz16FH/88QeaNWsGb29vfPvtt3BwcJCuFEyZMgXjxo1Dv3794OnpieDgYEydOhU//vijznrfeOMNDB48GHXr1sXUqVPRrFkzzJ8//6lxtG/fHgcPHkROTg4ePnyIU6dOoW3btggKCpKuQBw+fBhZWVlo3749AGDgwIHo2rUrPD090bJlS8ybNw/bt29HamqqzroTEhLQtm1buLq6YsuWLbC2tgYAfPHFF/juu+/w2muvoXbt2njttdcwevToAvtSkmxsbLB06VI0bNgQDRs2lNpbtWqFcePGoW7duhg+fDhef/11fP/993rX9cknn6B79+6oW7cupkyZgqtXr+LSpUsAgBkzZuDtt9/GqFGj4O3tjRdffBHz5s3DqlWrdG73MgYOuUpERESkh+aeBpmxxThBE0BmbCZyknJg5mhW8oE9vikhpOFeo6OjkZqaCkdHR515MjIypI7H0dHROHjwoM6VhdzcXGRmZiI9PV06IQ8MDNRZR2BgIKKiop4aR7t27ZCWloZjx47h/v37qFu3LqpVq4a2bdtiwIAByMzMxN69e1GrVi3UqFEDAHDixAlMnjwZ0dHRuH//vtSp+9q1a/Dx8ZHWHRwcjObNm2PdunUwMTEBAKSlpSE2NhaDBg3Ce++9J82bk5MDe3t7g76HhvD19YW5uXmB9sK+X88aUcnPz0/62tXVFQCQmJiI+vXrIzo6GqdPn8bq1auleYQQ0Gq1iIuLQ4MGDZ5jLwzDooGIiIhIj9zU3OdaPudh6RcN58+fR+3atQHkjVj0ZN+CfA4ODtI8U6ZMwWuvvVZgHktLy2LH4eXlherVq2PPnj24f/8+2rZtCwBwc3ODh4cHDh06hMjISAQFBQHIO+kPCQlBSEgIVq9ejWrVquHatWsICQkp0MG4e/fu2LBhA2JiYuDr6yvtBwAsWbIELVq00Jk/v7AwhFqtLnBlSKMp2C/FxsbG4HU/jZnZo5+N/MIvv3BKTU3FBx98gBEjRhRYLr/oMhYWDURERER6mNgafvL5ONNKpXu69b///Q9nzpzB6NGjAQBNmjRBQkICTE1NdTrwPq5Jkya4ePEivLy89K77r7/+Qt++fXXeBwQE6F2mffv2iIyMxP379zF27FipPSgoCNu3b8fRo0eldV64cAH37t3DzJkz4eHhAQA6oy89bubMmbC1tUXHjh0RGRkJHx8fODs7w83NDZcvX8bbb7+tN66iqFatGhISEnSu3Oi7svKkxzt7579/nqsBTZo0QUxMzDOPkzGwaCAiIiLSw8zRDJZ1LPOey2BI9wQVYOlpCdMqJXe6lZWVhYSEBOTm5uL27dvYsWMHZsyYgZdeekk6Ee/UqRMCAwPRs2dPzJo1C3Xr1sWtW7ewbds2vPrqq2jWrBkmTZqEl156CTVq1MDrr78OtVqN6OhonD17FtOmTZO2l98vonXr1li9ejWOHj2KZcuW6Y2xffv2GDp0KDQajXSlAQDatm2LYcOGITs7G23atAGQ92m5ubk55s+fjyFDhuDs2bOYOnXqU9f97bffIjc3Fx06dEBkZCTq16+PKVOmYMSIEbC3t0eXLl2QlZWF48eP4/79+xgzZoxB39927drhzp07mDVrFl5//XXs2LED27dvh52dXZGWP3jwIGbNmoWePXsiIiICf/zxB7Zt22ZQDI/77LPP0LJlSwwbNgyDBw+GjY0NYmJiEBERgR9++KHY6y0OdoQmIiIi0kOlUqH68OrFWrb6iOrSJ9YlYceOHXB1dUWtWrXQpUsX7NmzB/PmzcOff/4p3Y6jUqkQFhaGoKAgDBgwAHXr1kWvXr1w9epVODs7AwBCQkKwdetW7Ny5Ey+88AJatmyJ77//HjVr1tTZ3pQpU/Dbb7/Bz88Pq1atwtq1a3X6GRSmffv2yMjIgJeXl7Q9IK9oePjwIerVqwcXFxcAeZ/sr1ixAn/88Qd8fHwwc+ZMfPvtt3rX//333+PNN99Ehw4d8Pfff2Pw4MFYunQpli9fDl9fX7Rt2xYrVqyQbtcyRIMGDbBw4UIsWLAA/v7+OHr0qEHPbfj4449x/PhxBAQEYNq0aZg9ezZCQkIMjiOfn58f9u7di7///htt2rRBQEAAJk2aBDc3t2Kvs7hUwhhd+su4lJQU2Nvb48GDB0WuNOWg0WgQFhaGbt266dwfR8qn0Wjg5OSExMREHrsyhnlXOlxcXJCQkFCq2+CxK7ue59hlZmYiLi4OtWvXNujefU2yBoerH857sFtRhl1VA2orNQJvBMLM4fl+vqKjo+Hv7/9c6ygOlUqF//73v+jZs2eJrler1SIlJQV2dnZQq/n5tTHo+7kv6nkujxQRERHRM5g5mKHRhkaACs8+e1IDUAGNNjZ67oKBSClYNBAREREVQZWQKvDb5ge1lTqveHjyrqN/29RWaviF+aFK5yoyRElUOtgRmoiIiKiIqoRUQeCNQNxedRs35t3QeX6Dpaclqo+oDpd+LjC1L/unWLyDnR5X9n+iiYiIiIzIzMEM1UdUh/twd+Qk5SDnYQ5MK5nCtIppiXZ6JlISFg1ERERExaBSqWDmaFbqD24jUgL2aSAiIqIKh7feUEVSEj/vLBqIiIiowsgfojU9PV3mSIiMJ//n/XmGl+btSURERFRhmJiYwMHBAYmJiQAAa2trxfdDEEIgMzPz2TOWEVqtFtnZ2cjMzORzGkqZEALp6elITEyEg4OD9ADA4mDRQERERBVK/tOI8wsHpUtMTISFhYXcYZQYIQQyMjJgZWWl+IKtvHBwcJB+7ouLRQMRERFVKCqVCq6urnBycoJGo5E7nGd69913ceDAAbnDKDEajQb79u1DUFAQn8ZuBGZmZs91hSEfiwYiIiKqkExMTErkZKq03bhxA5aWlnKHUWJMTEyQk5MDS0tLFg1lCG8kIyIiIiIivVg0EBERERGRXiwaiIiIiIhILxYNRERERESkF4sGIiIiIiLSi0UDERERERHpxaKBiIiIiIj0YtFARERERER6sWggIiIiIiK9WDQQEREREZFeLBqIiIiIiEgvFg1ERERERKQXiwYiIiIiItKLRQMREREREenFooGIiIiIiPRi0UBERERERHqxaCAiIiIiIr1YNBARERERkV4sGoiIiIiISC8WDUQK4e3tLXcIRIrh5eUldwhEisF8ICVg0UCkAKampli/fj1MTU3lDoVIEdauXSt3CESKwXwgJWDRQKQAQgikpqZCCCF3KESKkJaWJncIRIrBfCAlYNFApBBZWVlyh0CkGMwHokeYD6QELBqIiIiIiEgvFg1ERERERKQXiwYiIiIiItKLQ7UQySQhIQG3bt0CALi4uMgcDZG8Hs8HNzc3maMhkhfzgZSIRQORkR0/fhwfffQRcnJypD8GN2/eRE5ODpYsWYKWLVvKHCGR8ejLh2XLlqF58+YyR0hkPMwHUjIWDURGNmDAAKxduxaNGjWS2rRaLdavX4/33nsPZ86ckTE6IuMqLB8AYP369Rg0aBDzgSoU5gMpGfs0EBlZZmYmGjZsWKDd09MTGRkZMkREJB/mA9EjzAdSMl5pIDKyd999F61atULv3r3h7u4OALhx4waWLVuGd999V+boiIyrsHy4efMmli5dir59+8ocHZFxMR9IyVg0EBnZpEmT8Oqrr2Lr1q3Ys2cPAMDV1RUTJkzA66+/LnN0RMZVWD64ublh4sSJzAeqcJgPpGQsGohk4OvrC19fX+l9YmIibt68KWNERPJ5Mh/u3r3LfKAKi/lASsU+DURGtmPHDtSvXx8dOnTAqVOn4Ovriw4dOqBbt27YuXOn3OERGVVh+dCuXTt07dqV+UAVDvOBlIxXGoiMbNy4cfjzzz+RnJyMTp06Yffu3fDz80NYWBjGjx+PLl26yB0ikdEUlg+NGzdGWFgYPvvsM3Tu3FnuEImMhvlASsaigcjIVCoV6tWrBwCwtLRE48aNodVq4e7uDq1WK3N0RMZVWD4AYD5QhcR8ICVj0UBkZO7u7pgwYQIePnyIevXqYcKECejZsyd+/fVXVKtWTe7wiIyqsHx47bXX8MsvvzAfqMJhPpCSsU8DkZGtXbsWjo6OqF27NrZs2YImTZpg8uTJiI+Px4oVK+QOj8ioCsuHL774Ardu3cKqVavkDo/IqJgPpGS80kBkZJUqVcKYMWOk96GhoXj11VcRHR0NNzc3GSMjMr7C8iE0NJT5QBUS84GUjFcaiBSkV69ecodApBhvvfWW3CEQKQbzgeTGKw1ERhYTE1OgTavVIjY2FgcOHJAhIiL5FJYPAHDp0iXs37/fyNEQyYv5QEoma9EwY8YMbNy4ERcuXICVlRVefPFFfP3119LIAQCQmZmJjz/+GL/99huysrIQEhKChQsXwtnZWZrn2rVr+PDDD7Fnzx7Y2tqiX79+mDFjBkxNH+1eZGQkxowZg3PnzsHDwwOff/45+vfvb8zdJQIA+Pn5ISgoCEIInfbU1FTcv39fpqiI5MF8IHqE+UBKJmvRsHfvXgwdOhQvvPACcnJy8J///AedO3dGTEwMbGxsAACjR4/Gtm3b8Mcff8De3h7Dhg3Da6+9hoMHDwIAcnNz0b17d7i4uODQoUOIj49H3759YWZmhq+++goAEBcXh+7du2PIkCFYvXo1du/ejcGDB8PV1RUhISGy7T9VTA0aNMDixYtRt25dqU2r1SI6Oho9evSQMTIi4yssHwAgOjoaL730kkxREcmD+UBKJmvRsGPHDp33K1asgJOTE06cOIGgoCA8ePAAy5Ytw5o1a9ChQwcAwPLly9GgQQP89ddfaNmyJXbu3ImYmBjs2rULzs7OaNy4MaZOnYrPPvsMkydPhrm5ORYvXozatWvju+++A5CXlAcOHMD333/PooGMbubMmTAxMSl02uLFi40cDZG89OXDTz/9ZORoiOTFfCAlU1SfhgcPHgAAqlSpAgA4ceIENBoNOnXqJM1Tv3591KhRA4cPH0bLli1x+PBh+Pr66tyuFBISgg8//BDnzp1DQEAADh8+rLOO/HlGjRpVaBxZWVnIysqS3qekpAAANBoNNBpNiexraciPTckxVkSmpqY6l5rj4+Ph6+ur86Ce/OldunQp0gN8VCoVcnJySj5YMhjzzjBFyQcgLydCQkJKNR947Mqu8nLslJQPxlRejl95UdTjoJiiQavVYtSoUWjVqhUaNWoEAEhISIC5uTkcHBx05nV2dkZCQoI0z+MFQ/70/Gn65klJSUFGRgasrKx0ps2YMQNTpkwpEOPOnTthbW1d/J00koiICLlDoH/Z2toiMDAQOTk50i/71NRUDBs2DAkJCWjatCk6dOiA1q1bAwAePnz4zHWq1WqYmpri8OHDSE1NLdX4qeiYd89mSD4IIaQPbPQpiXzgsSu7yvKxU2o+GFNZPn7lSXp6epHmU0zRMHToUJw9e1YRo8eMHz9eZ5zklJQUeHh4oHPnzrCzs5MxMv00Gg0iIiIQHBwMMzMzucOhfz35SdKIESMwYsQI5Obm4siRI9i5cyfmz58PjUaDHj16oHPnzggICNC7TpVKhaCgoNIOnYqAeWeYouTDDz/8gOzsbLzyyisIDg4utXzgsSu7ysuxU1I+GFN5OX7lRVEKUkAhRcOwYcOwdetW7Nu3D9WrV5faXVxckJ2djeTkZJ2rDbdv34aLi4s0z9GjR3XWd/v2bWla/v/5bY/PY2dnV+AqAwBYWFjAwsKiQLuZmVmZ+OEuK3FWJCqVqkCbWq1G69at0bp1a2i1Wuzfvx8JCQlYvHgxlixZ8sx18hgrC/Ou6J6VDwCMmg88dmVXeTh2SssHYyoPx688KOoxkLVoEEJg+PDh+O9//4vIyEjUrl1bZ3rTpk1hZmaG3bt3IzQ0FABw8eJFXLt2DYGBgQCAwMBATJ8+HYmJiXBycgKQd7nLzs4OPj4+0jxhYWE6646IiJDWQWRs586dw9atW3Hz5k0AgKurK7y9vfHGG2/wAT5U4TyZD25ublI+vPHGGzJHR2RczAdSKlmfCD106FD8+uuvWLNmDSpVqoSEhAQkJCQgIyMDAGBvb49BgwZhzJgx2LNnD06cOIEBAwYgMDAQLVu2BAB07twZPj4+ePfddxEdHY3w8HB8/vnnGDp0qHS1YMiQIbh8+TI+/fRTXLhwAQsXLsTvv/+O0aNHy7bvVHFNmzYNgwcPhqWlJYKCghAUFAQrKyt8+eWXmDZtmtzhERmVvnyYOnWq3OERGRXzgRRNyAhAoa/ly5dL82RkZIiPPvpIVK5cWVhbW4tXX31VxMfH66znypUromvXrsLKykpUrVpVfPzxx0Kj0ejMs2fPHtG4cWNhbm4uPD09dbbxLA8ePBAAxIMHD55nd0tddna22LRpk8jOzpY7FNLD29tbaLVanbbc3Fxx7Ngx4eXlJVNUVFzMu+dTWD4IIcSJEydKPR947Mqu8nrs5MwHYyqvx6+sKup5ruy3Jz2LpaUlFixYgAULFjx1npo1axa4/ehJ7dq1w6lTpwyOkaikmZubIyYmBg0bNtRpj4uLK7QvDVF5xnwgeoT5QEqmiI7QRBXJzz//jAEDBiA3Nxfu7u4AgBs3biA7O7tIHdyIyhN9+bBs2TKZoyMyLuYDKRmLBiIja968OY4ePYr4+HjcunULQN4IX4mJifD395c5OiLjKiwf3NzcmA9UITEfSMlYNBAZWUZGBiwsLODq6gpXV1fs3r0be/bsgYWFBf8oUIVTWD5ERkYyH6hCYj6Qksk6ehJRRdSyZUvpQSozZ87E9OnTIYTA+vXrMXbsWJmjIzIuffnwySefyBwdkXExH0jJeKWByMhycnKkhxWuX78ehw4dgqmpKTp06IABAwbIGxyRkRWWD+bm5ujYsSP69esnb3BERsZ8ICXjlQYiI3N2dsahQ4cA5N2revfuXQBAWlqanGERyYL5QPQI84GUjFcaiIzs559/Rv/+/WFubg4bGxv4+/ujadOmuHr1KmbPni13eERGVVg+NGvWDFevXsX3338vd3hERsV8ICVj0UBkZLVq1UJkZCRiYmLwzz//4J133oGrqyvMzc3RpEkTucMjMqrC8sHd3Z35QBUS84GUjEUDkUx8fHzg4+OD7OxsnD59GqmpqXKHRCSbx/Ph7NmzzAeq0JgPpETs00BkZFu2bEH16tVRvXp1bN68Ge3bt8ekSZPQp08fbN68We7wiIyqsHyYOHEievXqxXygCof5QErGKw1ERjZp0iScPHkSGRkZ8PX1RVRUFGrVqoVdu3bhP//5D3r27Cl3iERGU1g+eHp6IiIiAuPHj0ePHj3kDpHIaJgPpGQsGohk4OTkBCDv/lVPT09otVpUq1YNWq1W5siIjO/JfMhvYz5QRcR8IKXi7UlERqZSqZCTkwMAWLdundSu0WikdqKKgvlA9AjzgZSMRQORkf3222/SJ0YNGjSQ2u/du4epU6fKFRaRLPTlw/Tp0+UKi0gWzAdSMt6eRGRkdevWLbTdxcUF/v7+Ro6GSF7MB6JHmA+kZLzSQEREREREerFoICIiIiIivVg0ECnAwYMH5Q6BSDGYD0SPMB9IKVg0ECnAyJEj5Q6BSDGGDx8udwhEisF8IKVg0UCkAEIIuUMgUgzmA9EjzAdSChYNRAqwaNEiuUMgUowff/xR7hCIFIP5QErBooFIAX744Qe5QyBSjPnz58sdApFiMB9IKVg0ECnAuXPn5A6BSDHOnj0rdwhEisF8IKVg0UCkAI0bN5Y7BCLFCAgIkDsEIsVgPpBSsGggUoCBAwfKHQKRYgwaNEjuEIgUg/lASsGigUgBOOQq0SMcYpLoEeYDKQWLBiIF4JB6RI8wH4geYT6QUrBoIFIADrlK9AiHmCR6hPlASsGigUgBmjdvLncIRIrBfCB6hPlASsGigYiIiIiI9GLRQEREREREepnKHQBRRaTRaLB9+3ZcvHgRAFC3bl24urrKHBWRPJ7Mh/r16zMfqMJiPpBSsWggMrJr166hffv2qFGjBgICAiCEQFhYGC5fvoz9+/ejRo0acodIZDT68uHgwYOoXr263CESGQ3zgZSMRQORkY0fPx5jxozB0KFDpTatVovPP/8c48ePx+rVq2WMjsi4CssHAJgwYQLGjRuHX3/9VabIiIyP+UBKxj4NREZ2/PjxAn8QAOCNN97A8ePHZYiISD5Py4c333wTx44dkyEiIvkwH0jJWDQQGZmNjU2xphGVR8wHokeYD6RkvD2JyMju3LmDhQsX6rQJIXD9+nXcvXtXpqiI5FFYPgBgPlCFxHwgJWPRQGRkgwcPxp07d3TahBBITk7GwIEDZYqKSB6F5QMAJCcnY9CgQTJERCQf5gMpGYsGIiP74osvCrRptVpER0fD399fhoiI5FNYPgBgPlCFxHwgJWOfBiIiIiIi0otFAxERERER6cWigYiIiIiI9GKfBiIZhIWFYcuWLbh58yYAwNXVFQ0bNuQ9q1QhPZkPbm5uzAeqsJgPpFQsGoiM7KOPPsKdO3fwzjvvwN3dHUDecHqLFi1CTEwMFi9eLHOERMZTWD7cvHkTCxYsQExMDBYtWiRzhETGw3wgJWPRQGRku3btwt9//63T1qRJE9SqVQtvvvmmTFERyaOwfGjWrBlq1aqF119/XaaoiOTBfCAlY58GIiOzt7fH9u3bC7Tv378f9vb2MkREJJ+n5cO+ffuYD1ThMB9IyXilgcjI1q1bh88++wyDBw+Go6MjACApKQn169fHmjVrZI6OyLielg8NGjTAb7/9JnN0RMbFfCAlY9FAZGSenp74448/AAD37t0DAFSuXBnR0dHw8vKSMzQioyssHxwdHZkPVCExH0jJeHsSkYwcHR2lT5MA4OTJkzJGQyQv5gPRI8wHUhoWDUQKwpGTiB7hSDFEjzAfSG4sGogU5KeffpI7BCLFWLJkidwhECkG84Hkxj4NRDI4d+4ctm7dqvNwN29vbz68hyqkJ/PBzc2N+UAVFvOBlIpXGoiMbNq0aRg8eDAsLS0RFBSEoKAgWFlZ4csvv8S0adPkDo/IqPTlw9SpU+UOj8iomA+kZLzSQGRkq1atwsWLF6FSqaQ2rVaL1q1bo3fv3pg0aZKM0REZV2H5AABt2rTBW2+9hYkTJ8oUGZHxMR9IyXilgcjIzM3NERMTU6A9Li4OFhYWMkREJB/mA9EjzAdSMl5pIDKyn3/+GQMGDEBubi7c3d0BADdu3EB2djY7ulGFoy8fli1bJnN0RMbFfCAlY9FAZGTNmzfH0aNHER8fj1u3bgEAXFxckJiYyI5uVOEUlg9ubm7MB6qQmA+kZCwaiGTi6uoKV1dXAHl9GhITE3HkyBEEBgbKHBmR8T2eDwCkfGjRooWMURHJg/lASsQ+DUQK8tZbb8kdApFivPHGG3KHQKQYzAeSG680EBnZm2++WaBNCIHk5GQkJSXJEBGRfArLBwC4f/8+84EqHOYDKRmLBiIj27VrF3755RfY2tpKbVqtFpcuXcLp06dljIzI+ArLBwD4559/mA9U4TAfSMlYNBAZWbt27VCpUiUEBQVJbVqtFg4ODvD19ZUxMiLjKywfAMDBwQF+fn4yRUUkD+YDKRmLBiIj27hx41On7dy504iREMlPXz5EREQYMRIi+TEfSMnYEZqIiIiIiPRi0UBERERERHqxaCAiIiIiIr1YNBARERERkV4sGogUwsLCQu4QiBSD+UD0CPOBlIBFA5ECqFQq2NraQqVSyR0KkSLY2NjIHQKRYjAfSAlYNBApQE5ODl5//XXk5OTIHQqRIvTu3VvuEIgUg/lASsCigUgh/vnnH7lDIFKMS5cuyR0CkWIwH0gJWDQQEREREZFeLBqIiIiIiEgvFg1ERERERKQXiwYiIiIiItKLRQMREREREenFooGIiIiIiPRi0UBERERERHqxaCAiIiIiIr1YNBARERERkV4sGoiIiIiISC8WDUREREREpBeLBiIiIiIi0otFAxERERER6cWigYiIiIiI9GLRQEREREREerFoICIiIiIivVg0EBERERGRXiwaiIiIiIhILxYNRERERESkF4sGIiIiIiLSi0UDERERERHpxaKBiIiIiIj0YtFARERERER6sWggIiIiIiK9WDQQEREREZFeLBqIiIiIiEgvFg1ERERERKQXiwYiIiIiItKLRQMREREREekla9Gwb98+vPzyy3Bzc4NKpcKmTZt0pvfv3x8qlUrn1aVLF515kpKS8Pbbb8POzg4ODg4YNGgQUlNTdeY5ffo02rRpA0tLS3h4eGDWrFmlvWtEREREROWGrEVDWloa/P39sWDBgqfO06VLF8THx0uvtWvX6kx/++23ce7cOURERGDr1q3Yt28f3n//fWl6SkoKOnfujJo1a+LEiRP45ptvMHnyZPz000+ltl9EREREROWJqaELZGVl4ciRI7h69SrS09NRrVo1BAQEoHbt2gZvvGvXrujataveeSwsLODi4lLotPPnz2PHjh04duwYmjVrBgCYP38+unXrhm+//RZubm5YvXo1srOz8fPPP8Pc3BwNGzZEVFQUZs+erVNcEBERERFR4YpcNBw8eBBz587Fli1boNFoYG9vDysrKyQlJSErKwuenp54//33MWTIEFSqVKnEAoyMjISTkxMqV66MDh06YNq0aXB0dAQAHD58GA4ODlLBAACdOnWCWq3GkSNH8Oqrr+Lw4cMICgqCubm5NE9ISAi+/vpr3L9/H5UrVy6wzaysLGRlZUnvU1JSAAAajQYajabE9q2k5cem5BipcDx2ZRePXekQQpT695THruyqaMfOGPlgTBXt+CldUY9DkYqGHj164OTJk+jTpw927tyJZs2awcrKSpp++fJl7N+/H2vXrsXs2bOxatUqBAcHFy/yx3Tp0gWvvfYaateujdjYWPznP/9B165dcfjwYZiYmCAhIQFOTk66O2RqiipVqiAhIQEAkJCQUOAqiLOzszStsKJhxowZmDJlSoH2nTt3wtra+rn3q7RFRETIHQIVE49d2cVjV7Kys7MRFhZmlG3x2JVdFeXYGTMfjKmiHD+lS09PL9J8RSoaunfvjg0bNsDMzKzQ6Z6envD09ES/fv0QExOD+Pj4okeqR69evaSvfX194efnhzp16iAyMhIdO3YskW0UZvz48RgzZoz0PiUlBR4eHujcuTPs7OxKbbvPS6PRICIiAsHBwU89VqRM+VU+j13Zw7wrHebm5ujWrVupboPHruyqaMfOGPlgTBXt+Cld/h01z1KkouGDDz4o8oZ9fHzg4+NT5PkN4enpiapVq+LSpUvo2LEjXFxckJiYqDNPTk4OkpKSpH4QLi4uuH37ts48+e+f1lfCwsICFhYWBdrNzMzKxA93WYmTCuKxK7t47EqWSqUy2veTx67sqijHzpj5YEwV5fgpXVGPwXONnpSamoqUlBSdV2m6ceMG7t27B1dXVwBAYGAgkpOTceLECWme//3vf9BqtWjRooU0z759+3Tu14qIiEC9evUKvTWJiIiIiIh0GVw0xMXFoXv37rCxsYG9vT0qV66MypUrw8HBweCT8NTUVERFRSEqKkpad1RUFK5du4bU1FSMHTsWf/31F65cuYLdu3fjlVdegZeXF0JCQgAADRo0QJcuXfDee+/h6NGjOHjwIIYNG4ZevXrBzc0NANCnTx+Ym5tj0KBBOHfuHNatW4e5c+fq3H5ERERERERPZ/CQq++88w6EEPj555/h7OwMlUpV7I0fP34c7du3l97nn8j369cPixYtwunTp7Fy5UokJyfDzc0NnTt3xtSpU3VuHVq9ejWGDRuGjh07Qq1WIzQ0FPPmzZOm29vbY+fOnRg6dCiaNm2KqlWrYtKkSRxulYiIiIioiAwuGqKjo3HixAnUq1fvuTferl07CCGeOj08PPyZ66hSpQrWrFmjdx4/Pz/s37/f4PiIiIiIiKgYtye98MILuH79emnEQkRERERECmTwlYalS5diyJAhuHnzJho1alSgx7Wfn1+JBUdERERERPIzuGi4c+cOYmNjMWDAAKlNpVJBCAGVSoXc3NwSDZCIiIiIiORlcNEwcOBABAQEYO3atc/dEZqIiIiIiJTP4KLh6tWr2Lx5M7y8vEojHiIiIiIiUhiDO0J36NAB0dHRpRELEREREREpkMFXGl5++WWMHj0aZ86cga+vb4GO0D169Cix4IiIiIiISH4GFw1DhgwBAHz55ZcFprEjNBERERFR+WNw0aDVaksjDiIiIiIiUiiD+zQQEREREVHFUqSi4bfffivyCq9fv46DBw8WOyAiIiIiIlKWIhUNixYtQoMGDTBr1iycP3++wPQHDx4gLCwMffr0QZMmTXDv3r0SD5SIiIiIiORRpD4Ne/fuxebNmzF//nyMHz8eNjY2cHZ2hqWlJe7fv4+EhARUrVoV/fv3x9mzZ+Hs7FzacRMRERERkZEUuSN0jx490KNHD9y9excHDhzA1atXkZGRgapVqyIgIAABAQFQq9lFgoiIiIiovDF49KSqVauiZ8+epRAKEREREREpES8NEBERERGRXiwaiIiIiIhILxYNRERERESkF4sGIiIiIiLSq9hFQ3Z2Ni5evIicnJySjIeIiIiIiBTG4KIhPT0dgwYNgrW1NRo2bIhr164BAIYPH46ZM2eWeIBERERERCQvg4uG8ePHIzo6GpGRkbC0tJTaO3XqhHXr1pVocEREREREJD+Dn9OwadMmrFu3Di1btoRKpZLaGzZsiNjY2BINjoiIiIiI5GfwlYY7d+7AycmpQHtaWppOEUFEREREROWDwUVDs2bNsG3bNul9fqGwdOlSBAYGllxkRERERESkCAbfnvTVV1+ha9euiImJQU5ODubOnYuYmBgcOnQIe/fuLY0YiYiIiIhIRgZfaWjdujWioqKQk5MDX19f7Ny5E05OTjh8+DCaNm1aGjESEREREZGMDL7SAAB16tTBkiVLSjoWIiIiIiJSIIOvNJiYmCAxMbFA+71792BiYlIiQRERERERkXIYXDQIIQptz8rKgrm5+XMHREREREREylLk25PmzZsHIG+0pKVLl8LW1laalpubi3379qF+/folHyEREREREcmqyEXD999/DyDvSsPixYt1bkUyNzdHrVq1sHjx4pKPkIiIiIiIZFXkoiEuLg4A0L59e2zcuBGVK1cutaCIiIiIiEg5DB49ac+ePaURBxERERERKVSxhly9ceMGNm/ejGvXriE7O1tn2uzZs0skMCIiIiIiUgaDi4bdu3ejR48e8PT0xIULF9CoUSNcuXIFQgg0adKkNGIkIlK0xweGICLjYN4RGZfBQ66OHz8en3zyCc6cOQNLS0ts2LAB169fR9u2bfHGG2+URoxERIplamqKwMBAmJoW68ItERUD847I+AwuGs6fP4++ffsCyEvajIwM2Nra4ssvv8TXX39d4gESVRTJyckwNzeHSqUq9DV58mQAwLVr19C9e3dYW1vDyckJY8eORU5OjrSe+Ph49OnTB3Xr1oVarcaoUaPk2aEKQgiBnJycpz7Dhorn9u3bT80FQ/LhcQcPHoSpqSkaN25svB2hUlHR8q6k8qF///6FLt+wYUOZ9ozKEoNLdBsbG6kfg6urK2JjY6Uftrt375ZsdEQViJ2dHc6ePQszMzOsW7cOkyZNwsWLF6Xptra2yM3NRffu3eHi4oJDhw4hPj4effv2hZmZGb766isAeQ9arFatGj7//HNpqGQqXVqtVu4Qyp2qVavizJkzAPBc+ZAvOTkZffv2RceOHXH79m2j7guVjoqUdyWVD3PnzsXMmTOl5XJycuDv7887RahIDC4aWrZsiQMHDqBBgwbo1q0bPv74Y5w5cwYbN25Ey5YtSyNGonJNCIF7GfegVqthZm8G50rOsLe3h0qlgouLi86827dvR0xMDHbt2gVnZ2c0btwYU6dOxWeffYbJkydLz0yZO3cuAODnn3+WY5eIik0I4N49ADCBqakLHB3xXPmQb8iQIejTpw9MTEywadMmo+4TUXEJIaC5p4EaalQxrQIzR7Pnygd7e3vY29tLy2zatAn379/HgAEDjL1rVAYZfHvS7Nmz0aJFCwDAlClT0LFjR6xbtw61atXCsmXLSjxAovIqOTMZc/+aC+/53vCc6wkA8JzrCe/53tgZuxMCBS+7Hz58GL6+vnB2dpbaQkJCkJKSgnPnzhktdqKSlpwMzJ0LeHsD1aoBd+/m/e/tDezcmVdMPKmo+bB8+XJcvnwZX3zxhRH2hOj5aZI1uDH3Bo54H8GhaoeguavBoWqHcMT7CJJ2JqGQPw/F+vuwbNkydOrUCTVr1iytXaFyxOArDZ6entLXNjY2fAo0UTGEXwpH6O+hSNekAwAs1ZbStMv3LyP2TCyQlTdfiFeINC0hIUHnDwIA6X1CQoIRIicqeeHhQGgokJ5ecNrly0Bs7KP5Qh6lQ5Hy4Z9//sG4ceOwf/9+dpqlMiEpPAlnQ89Cm17w9qvMy5lIjE1ELnKRFJ6EKiFVpGmG/n24desWtm/fjjVr1pTwHlB5ZfCVhnzZ2dm4ceMGrl27pvMiIv3CL4Wj+5ruyNBkQPz773HSewF0X9Md4ZfCZYiy9F28eBGNGzeWXlZWVoXeNhIbG4tmzZrBy8sLQ4YMKbTj4+TJk1G9enU0btwY3t7e6N27N65evVqi8Y4ZMwaNGjWCn58fdu3aJbVv3boVL7zwAurVq4elS5fqLDN+/Hjs2rULn3zyCerVqwdfX18MHDhQ6pj4zTffSPtfr149ODg4SMsuXboU3t7eqFevHrZu3Vqi+6Ik4eFA9+5ARkbe1YQnD+/j77t3z5u/qHJzc9GnTx9MmTIFdevWLZmAS0l5yod69erB29ub+VAMSeFJON39NLQZ2ryrCU8eXunPg8Dp7qeRFJ5U7G2tXLkSDg4O6NmzZ7HXQRWMMNDFixdF69athVqt1nmpVCqhVqsNXV2Z8ODBAwFAPHjwQO5Q9MrOzhabNm0S2dnZcodCT3E/476wmW4j1JPVApOR9xoOYdrGVJiZmQnTNqYCwyHwCgQsINST1cJmuo24n3FfCCHExIkThb+/v846L1++LACIkydPFthe27ZtxciRI0t/x57Tw4cPhaOjo0hNTS0wLTQ0VGzZsqXA14/74osvxPz586X38+fPF7Vr1xaZmZklEt/mzZtF9+7dRW5urrh3755o2rSpyMnJERqNRnh7e4tz586JBw8eiLp164q7d+9Ky7Vq1UpkZmaKnTt3Co1GI7RarejTp49YtmxZgW0sWbJE9OvXTwghxN27d0XdunVFSkqKuHnzpvD29hYajaZE9kVJ7t8XwsZGCLU6v1wQAvhbAOMEYPHv/38LYLkA7IVanTf//ft5yz8rH+7fvy8ACBMTE+mlUqmktvDwcEX+zizr+XDjxg3x8OHDUs2HrKwscf/+fZGbm1si+6QE2fezxV6bvWKPeo/Yg7zXL/hF9EEfYQ5z0Qd9xC/4RXyGz4QNbMQe9R6x12avyL6f9/NryN8HrVYrvLy8xKhRo4y1ezp4vqIsRT3PNfhKw4ABA6BWq7F161acOHECJ0+exMmTJ3Hq1CmcPHmyRAsaovJmZdRKpGvSocW/l51PAfgByDmQA41Gg5wDOcAPAP69aKeFFumadKyKXgUACAwMxJkzZ5CYmCitMyIiAnZ2dvDx8THuzpSgzZs3o2PHjrCxsdFpF0Lg0KFD6N69OwDgnXfewZYtW565vmHDhsHDwwPbt28vkfjOnz+Ptm3bQq1Wo0qVKnB0dMSxY8dw9OhR+Pj4wM3NDba2tujatSt27twJAEhMTISdnR0sLCwQHBwMU1NTqFQqNGvWDDdv3iywjd9//x1vvfUWACA8PBzdunVDpUqV4ObmBh8fHxw7dqxE9kVJVq7MuyXp0SA4ywHUB/ANgKx//68P4ACAvPnS04FVeenwzHyws7PDmTNnEBUVJb2GDBmCevXqISoqCs2bNzfWrhqkLOdDw4YN4e7uznwohtsrb+fdkvRvPmzHdvRDP/yG35CNbPyG39AP/XAGeaMoQQto07W4vSpvNDBD/j7s3bsXly5dwqBBg4yyb1Q+GFw0REVF4ccff0TXrl3RuHFj+Pv767yIqHBCCMw/Ov9Rwz0Am6F7CTr/61PQuSw978g8CCHQuXNn+Pj44N1330V0dDTCw8Px+eefY+jQobCwsJDmzz9BSk1NxZ07dxAVFYWYmJjS3sVie/wE4XH37t1DlSpVoFKpAADu7u6FnmAUpkmTJjpDEj4PPz8/hIWFISsrC9evX8fx48dx8+ZN3Lp1C+7u7tJ8j8cXERGBTp066awnJycHa9asQefOnXXa7969i+joaGl+festL4QA5s9/vOUfAIORd8aU+29b7r/vf4Z0JgVg3ry85Z+VD2q1Go0aNdJ5OTk5wdLSEo0aNSpwUq4UzIeKmA8CN+bfkN7fwA18i2+h/fcfAOnr7diuc1vrjXk3DPr7AOR1gG7RogUaNWpknB2kcsHgXmE+Pj58HgNRMdzLuIfY+7GPGk49Y4F/z5sEBGLvxyIpIwmO1o7YunUrPvzwQwQGBsLGxgb9+vXDl19+qbNoQECA9PWJEyewZs0a1KxZE1euXCmZnSlBKSkpOHToEH777bcSXa8owYc+denSBUeOHEGLFi3g7u6O1q1bw8TE5KkPEQPyPh397LPPdNrGjh2Lli1bSiPQ5du4cSN69OgBMzOzEotZ6e7de9TBOc/PAFR6lsh7PpAQecslJQGOjiZFyoeyhPlQMfNBc0+DzNhM6f126L8qpIEm7wsBZMZmIicpB2aOZkXKhwcPHmDDhg3S0NxERWVw0fD111/j008/xVdffQVfX98CSW1nZ1diwRGVJ6nZqboNyUVY6JtHX9ZfUB8mahPpfX6u/frrr/j11191FntyBA0AyMzMLDCud2nz8vLC2rVrkZaWhqysrELnye9IXNinoEIIJCYmIioqCiqVCgcOHICFhQWio6N15ktISEBWVpZO+4EDB/DOO+/otJ05cwZTp04FAIwbNw6bNm3ChQsXUKdOHfTp00dnWpMmTXS20bNnT6nD4AcffIDc3FykpaXh/PnziIuLg0qlQlRUFBo1aoSoqCicOHECOTk50vbXrVuHo0ePYt68eQXiX7ZsGQYOHCi1azQanDt3TnofExOD5s2bF1jOwsICNjY26N27Ny5dulTo91epcnOfbEnGoysMT8o/4X3081u/PmDyKB305kNhXFxcIIRAdna29CT20lYR8iEmJkbaRmnmwwsvvCDlXf6xK8v5IHLFo0IAQBrSHt3G+gQVVGiDNjptOQ/zioaaNWsiLCxM77bs7e2RXthQZUTPYmhnCZVKJXV6ZkdoZWHHImW7k3bnUefnyRBoDQGVdEOS7kv17/TH5r+bdvfZGymDXnrpJbF58+anTn/11Velzp6vv/56ofM+2fFz4cKFok6dOiXW8VOj0YikpCQhhBAHDhwQrVu3ltq9vLwKdISOiooS/fv3l5bfunWrCAgIKPR3yO3bt4Wrq6vIycmR2u7cuaPT8dPLy6vcdYS+c+fxzs/i307PJoXnA0z+nf5o/rslkA5K/J1ZHvLhyY7QpZEP5a0jdNadLKnz8x7sEX3QR6ihLjQf1FCLPuijM3/2XeX8DBeFEnOvIivqea7BVxr27NlTAqUKUcXjaOWIOpXr4PL9y3n3owYAOKhngX/vMFJBBc/KnqhiVUXPzGXTgwcPcPToUWzYsEGnffDgwRgyZAiaNWuGr7/+Gr169cLIkSPRsWNHqRPok2bOnImlS5ciLS0NL7zwAv73v/8VuI+3uLKystCqVSsAgJOTE1auXAkAMDU1xTfffIMePXoAAD799FM4Ojpi2bJlOvdpjxw5EhqNBkFBQQCAN954AxMmTAAAbNiwAa+88gpMHvvYvGrVqvj4448REBAAtVqN7777rtw9Y8DREahTJ+85DHl3zgwEMOspcwsAeR02VSrA0xOoUv7SoVzkw3fffYf27dtDq9UyHwxg5mgGyzqWyLycCQigK7riNzz9FrVu6Jb3hQqw9LSEaZXy9f0gZVIJUYI3OpZTKSkpsLe3x4MHDxR9+5VGo0FYWBi6detWoe4FLUvm/jUXo8NHP+rEdgp5naGBvPOi/DskekCnaJjTZQ5GtBhh1FipaLRaLVJSUmBnZwe1Om9sieDgYKxduxZVq1aVOTplmzsXGD368WcxrEBecaBC3q1KJshLjGUA+gPIKxrmzAFGlEA68HemcZRGPhSWd2Xdjbk3cGn0JeluvB3YgW/+vUdVCy3U/45dMxZj0QVd8mZSAV5zvFB9RHU5Qi425p6yFPU8t0il6enTp9GoUSOo1WqcPn1a77x+fn6GRUpUgfRr3A8T/jcBGZqMvPtVAwDUAEyjTKH6SwXRUiCncQ7gmDe/WqWGlakV+vr3lTVuMkxERITcIZQJ/foBEybkPdgtb9jV/gBaI69I+B7AaOQVEV4AALUasLIC+jIdyhTmQ9E493PG5QmX8x7spgW6oAt84YswhGE91uN1vI5u6AZ3/DuSlBpQW6nh3LdgHzai0lCkoqFx48ZISEiAk5MTGjduDJVKVehIDCqVCrkFe7cR0b8cLB2w4c0N6L6mO9RCnVc4OAJmwWawOGOBrOAs5GjzRiBRQw0VVNj41kY4WDrIGzhRKXBwADZsyHvSs1qdXzh4AZiBvGc2zJDmVavzrjJs3Ji3HFF5Y+ZghkYbGuF099N5A+JrAXe44z28h+3Yjvfw3qOZ1QBUQKONjWDmwE/qyTiKVDTExcWhWrVq0tdEVHwhXiHY1mcbQn8PRbqm4AgWqn/vUbIys8LGtzaic53OBeYhKi9CQoBt24DQ0LwHtwGP366UVygAeVcYNm4EOjMdqByrElIFftv8cDb0bN6D3gCdZ/bk38KqtlKj0cZGqNK5HHbuIcUqUtFQs2bNQr8mouIJ8QrBjTE3sCp6FeYdmYdbD25J0zwre2JEixHo598P9pb2MkZJZBwhIcCNG3lPep43T/f5DZ6eef0X+vUD7JkOVAFUCamCwBuBuL3qNm7Mu6Hz/AZLT0tUH1EdLv1cYGrPzs9kXEX6idu8efOzZ/pX/igiRKSfg6UDRrQYgeHNhyPxYSLqz66PuJFxcKrkZJQx44mUxMEhrzgYPjzvwW316wMXLuSNksR0oIrGzMEM1UdUh/tw97wHt9U3Q6sLrWBaxZR/H0g2RSoa8h/gku/JPg2P/wCzTwORYVQqlTScahWrKvyDUAaVl9FblEClyhuO1cQk73+ip6kIeadSqWDmaAaVSd7/RHIqUsZptVrptXPnTjRu3Bjbt29HcnIykpOTERYWhiZNmmDHjh2lHS8RkaKoVCqYmvLTPyJjYt4RGZ/BZfqoUaMwd+5chISEwM7ODnZ2dggJCcHs2bMxoiQGziYiKkNycnJw+PBh5OTkyB0KUYXBvCMyPoOLhtjYWDgUMt6dvb09rly5UgIhERGVLampqXKHQFThMO+IjMvgouGFF17AmDFjcPv2bant9u3bGDt2LJo3b16iwRERERERkfwMLhqWLVuG+Ph41KhRA15eXvDy8kKNGjVw8+ZNLFu2rDRiJCIiIiIiGRk8yK+3tzdOnz6NiIgIXLhwAQDQoEEDdOrUiR2SiIiIiIjKIYOKBo1GAysrK0RFRaFz587ozEdzEhERERGVewbdnmRmZoYaNWrwWQxERERERBWIwX0aJkyYgP/85z9ISkoqjXiIiIiIiEhhDO7T8MMPP+DSpUtwc3NDzZo1YWNjozP95MmTJRYcERERERHJz+CioWfPnqUQBhERERERKZXBRcMXX3xRGnEQEREREZFCGVw05Dtx4gTOnz8PAGjYsCECAgJKLCgiIiIiIlIOg4uGxMRE9OrVC5GRkXBwcAAAJCcno3379vjtt99QrVq1ko6RiIiIiIhkZPDoScOHD8fDhw9x7tw5JCUlISkpCWfPnkVKSgpGjBhRGjESEREREZGMDL7SsGPHDuzatQsNGjSQ2nx8fLBgwQI+7I2IiIiIqBwy+EqDVquFmZlZgXYzMzNotdoSCYqIiIiIiJTD4KKhQ4cOGDlyJG7duiW13bx5E6NHj0bHjh1LNDgiIiIiIpKfwUXDDz/8gJSUFNSqVQt16tRBnTp1ULt2baSkpGD+/PmlESMREREREcnI4D4NHh4eOHnyJHbt2oULFy4AABo0aIBOnTqVeHBERERERCS/Yj2nQaVSITg4GMHBwSUdDxERERERKYzBtycBwN69e/Hyyy/Dy8sLXl5e6NGjB/bv31/SsRERERERkQIYXDT8+uuv6NSpE6ytrTFixAiMGDEClpaW6NixI9asWVMaMRIRERERkYwMvj1p+vTpmDVrFkaPHi21jRgxArNnz8bUqVPRp0+fEg2QiIiIiIjkZfCVhsuXL+Pll18u0N6jRw/ExcWVSFBERERERKQcBhcNHh4e2L17d4H2Xbt2wcPDo0SCIiIiIiIi5TD49qSPP/4YI0aMQFRUFF588UUAwMGDB7FixQrMnTu3xAMkIiIiIiJ5GVw0fPjhh3BxccF3332H33//HUDecxrWrVuHV155pcQDJCIiIiIieRXrOQ2vvvoqXn311ZKOhYiIiIiIFMjgPg3Hjh3DkSNHCrQfOXIEx48fL5GgiIiIiIhIOQwuGoYOHYrr168XaL958yaGDh1aIkEREREREZFyGFw0xMTEoEmTJgXaAwICEBMTUyJBERERERGRchhcNFhYWOD27dsF2uPj42FqWqwuEkREREREpGAGFw2dO3fG+PHj8eDBA6ktOTkZ//nPfxAcHFyiwRERERERkfwMvjTw7bffIigoCDVr1kRAQAAAICoqCs7Ozvjll19KPEAiIiIiIpKXwUWDu7s7Tp8+jdWrVyM6OhpWVlYYMGAAevfuDTMzs9KIkYiIiIiIZFSsTgg2NjZ4//33SzoWIiIiIiJSIIP7NBARERERUcXCooGIiIiIiPRi0UBERERERHqxaCAiIiIiIr0MLhr69euHffv2lUYsRERERESkQAYXDQ8ePECnTp3g7e2Nr776Cjdv3iyNuIiIiIiISCEMLho2bdqEmzdv4sMPP8S6detQq1YtdO3aFevXr4dGozFoXfv27cPLL78MNzc3qFQqbNq0SWe6EAKTJk2Cq6srrKys0KlTJ/zzzz868yQlJeHtt9+GnZ0dHBwcMGjQIKSmpurMc/r0abRp0waWlpbw8PDArFmzDN1tIiIiIqIKq1h9GqpVq4YxY8YgOjoaR44cgZeXF9599124ublh9OjRBU7snyYtLQ3+/v5YsGBBodNnzZqFefPmYfHixThy5AhsbGwQEhKCzMxMaZ63334b586dQ0REBLZu3Yp9+/bpPEMiJSUFnTt3Rs2aNXHixAl88803mDx5Mn766afi7DoRERERUYVTrIe75YuPj0dERAQiIiJgYmKCbt264cyZM/Dx8cGsWbMwevRovct37doVXbt2LXSaEAJz5szB559/jldeeQUAsGrVKjg7O2PTpk3o1asXzp8/jx07duDYsWNo1qwZAGD+/Pno1q0bvv32W7i5uWH16tXIzs7Gzz//DHNzczRs2BBRUVGYPXs2H1BHRERERFQEBl9p0Gg02LBhA1566SXUrFkTf/zxB0aNGoVbt25h5cqV2LVrF37//Xd8+eWXzxVYXFwcEhIS0KlTJ6nN3t4eLVq0wOHDhwEAhw8fhoODg1QwAECnTp2gVqtx5MgRaZ6goCCYm5tL84SEhODixYu4f//+c8VIRERERFQRGHylwdXVFVqtFr1798bRo0fRuHHjAvO0b98eDg4OzxVYQkICAMDZ2Vmn3dnZWZqWkJAAJycnnemmpqaoUqWKzjy1a9cusI78aZUrVy6w7aysLGRlZUnvU1JSAOQVTIb22zCm/NiUHCMVjseu7OKxKx1CiFL/nvLYlV0V7dgZIx+MqaIdP6Ur6nEwuGj4/vvv8cYbb8DS0vKp8zg4OCAuLs7QVSvGjBkzMGXKlALtO3fuhLW1tQwRGSYiIkLuEKiYeOzKLh67kpWdnY2wsDCjbIvHruyqKMfOmPlgTBXl+Cldenp6keYzuGh49913DQ6mOFxcXAAAt2/fhqurq9R++/Zt6eqGi4sLEhMTdZbLyclBUlKStLyLiwtu376tM0/++/x5njR+/HiMGTNGep+SkgIPDw907twZdnZ2z7djpUij0SAiIgLBwcEwMzOTOxwyQH6Vz2NX9jDvSoe5uTm6detWqtvgsSu7KtqxM0Y+GFNFO35Kl39HzbM8V0fo0lS7dm24uLhg9+7dUpGQkpKCI0eO4MMPPwQABAYGIjk5GSdOnEDTpk0BAP/73/+g1WrRokULaZ4JEyZAo9FIP5gRERGoV69eobcmAYCFhQUsLCwKtJuZmZWJH+6yEicVxGNXdvHYlSyVSmW07yePXdlVUY6dMfPBmCrK8VO6oh6DYg25WlJSU1MRFRWFqKgoAHmdn6OionDt2jWoVCqMGjUK06ZNw+bNm3HmzBn07dsXbm5u6NmzJwCgQYMG6NKlC9577z0cPXoUBw8exLBhw9CrVy+4ubkBAPr06QNzc3MMGjQI586dw7p16zB37lydKwlERERERPR0sl5pOH78ONq3by+9zz+R79evH1asWIFPP/0UaWlpeP/995GcnIzWrVtjx44dOv0pVq9ejWHDhqFjx45Qq9UIDQ3FvHnzpOn29vbYuXMnhg4diqZNm6Jq1aqYNGkSh1slIiIiIioiWYuGdu3aQQjx1OkqlQpffvml3uFbq1SpgjVr1ujdjp+fH/bv31/sOImIiIiIKjJZb08iIiIiIiLlY9FARERERER6sWggIiIiIiK9WDQQEREREZFeLBqIiIiIiEgvFg1ERERERKQXiwYiIiIiItKLRQMREREREenFooGIiIiIiPRi0UBERERERHqxaCAiIiIiIr1YNBARERERkV4sGoiIiIiISC8WDUREREREpBeLBiIiIiIi0otFAxERERER6cWigYiIiIiI9GLRQEREREREerFoICIiIiIivVg0EBERERGRXiwaiIiIiIhILxYNRERERESkF4sGIiIiIiLSi0UDERERERHpxaKBiIiIiIj0YtFApBDe3t5yh0CkGF5eXnKHQKQYzAdSAhYNRApgamqK9evXw9TUVO5QiBRh7dq1codApBjMB1ICFg1ECiCEQGpqKoQQcodCpAhpaWlyh0CkGMwHUgIWDUQKkZWVJXcIRIrBfCB6hPlASsCigYiIiIiI9GLRQEREREREerFoICIiIiIivThUC5FMEhIScOvWLQCAi4uLzNEQyevxfHBzc5M5GiJ5MR9IiVg0EBnZ8ePH8dFHHyEnJ0f6Y3Dz5k3k5ORgyZIlaNmypcwREhmPvnxYtmwZmjdvLnOERMbDfCAlY9FAZGQDBgzA2rVr0ahRI6lNq9Vi/fr1eO+993DmzBkZoyMyrsLyAQDWr1+PQYMGMR+oQmE+kJKxTwORkWVmZqJhw4YF2j09PZGRkSFDRETyYT4QPcJ8ICXjlQYiI3v33XfRqlUr9O7dG+7u7gCAGzduYNmyZXj33Xdljo7IuArLh5s3b2Lp0qXo27evzNERGRfzgZSMRQORkU2aNAmvvvoqtm7dij179gAAXF1dMWHCBLz++usyR0dkXIXlg5ubGyZOnMh8oAqH+UBKxqKBSAa+vr7w9fWV3icmJuLmzZsyRkQknyfz4e7du8wHqrCYD6RU7NNAZGQ7duxA/fr10aFDB5w6dQq+vr7o0KEDunXrhp07d8odHpFRFZYP7dq1Q9euXZkPVOEwH0jJeKWByMjGjRuHP//8E8nJyejUqRN2794NPz8/hIWFYfz48ejSpYvcIRIZTWH50LhxY4SFheGzzz5D586d5Q6RyGiYD6RkLBqIjEylUqFevXoAAEtLSzRu3BharRbu7u7QarUyR0dkXIXlAwDmA1VIzAdSMhYNREbm7u6OCRMm4OHDh6hXrx4mTJiAnj174tdff0W1atXkDo/IqArLh9deew2//PIL84EqHOYDKRn7NBAZ2dq1a+Ho6IjatWtjy5YtaNKkCSZPnoz4+HisWLFC7vCIjKqwfPjiiy9w69YtrFq1Su7wiIyK+UBKxisNREZWqVIljBkzRnofGhqKV199FdHR0XBzc5MxMiLjKywfQkNDmQ9UITEfSMl4pYFIQXr16iV3CESK8dZbb8kdApFiMB9IbrzSQGRkMTExBdq0Wi1iY2Nx4MABGSIikk9h+QAAly5dwv79+40cDZG8mA+kZCwaiIzMz88PQUFBEELotKempuL+/fsyRUUkD+YD0SPMB1IyFg1ERtagQQMsXrwYdevWldq0Wi2io6PRo0cPGSMjMr7C8gEAoqOj8dJLL8kUFZE8mA+kZOzTQGRkM2fOhImJSaHTFi9ebORoiOSlLx9++uknI0dDJC/mAykZiwYiI7t9+zYsLCwKnda1a1cjR0MkL+YD0SPMB1Iy3p5EZGQ5OTkYOXIk4uPj0bx5c4SEhCAoKEjusIhkUVg+tGvXTu6wiGTBfCAlY9FAZGTvv/8+3n//feTm5uLIkSMIDw/HzJkzkZ2djVdeeQUhISEICAiQO0wio9CXDz179kTnzp2ZD1RhMB9IyVg0EMnExMQEL774Il588UVotVrs378fCQkJWLhwIZYsWSJ3eERG9Xg+AGA+UIXGfCAlYtFAJINz585h69atuHnzJgDA1dUV3t7eeOONN/gAH6pwnswHNzc3KR/eeOMNmaMjMi7mAykVO0ITGdm0adMwePBgWFpaIigoCEFBQbCyssKXX36JadOmyR0ekVHpy4epU6fKHR6RUTEfSMl4pYHIyFatWoWLFy9CpVJJbVqtFq1bt0bv3r0xadIkGaMjMq7C8gEA2rRpg7feegsTJ06UKTIi42M+kJLxSgORkZmbmyMmJqZAe1xc3FOH2iMqr5gPRI8wH0jJeKWByMh+/vlnDBgwALm5uXB3dwcA3LhxA9nZ2ezgRhWOvnxYtmyZzNERGRfzgZSMRQORkTVv3hxHjx5FfHw8bt26BQBwcXFBYmIi/P39ZY6OyLgKywc3NzfmA1VIzAdSMhYNREaWkZEBCwsLuLq6wtXVFbt378aePXtgYWHBPwpU4RSWD5GRkcwHqpCYD6Rk7NNAZGQtW7ZESkoKAGDmzJmYPn06hBBYv349xo4dK3N0RMalLx8++eQTmaMjMi7mAykZrzQQGVlOTg4cHBwAAOvXr8ehQ4dgamqKDh06YMCAAfIGR2RkheWDubk5OnbsiH79+skbHJGRMR9IyXilgcjInJ2dcejQIQB596revXsXAJCWliZnWESyYD4QPcJ8ICXjlQYiI/v555/Rv39/mJubw8bGBv7+/mjatCmuXr2K2bNnyx0ekVEVlg/NmjXD1atX8f3338sdHpFRMR9IyVg0EBlZrVq1EBkZiZiYGPzzzz9455134OrqCnNzczRp0kTu8IiMqrB8cHd3Zz5QhcR8ICVj0UAkEx8fH/j4+CA7OxunT59Gamqq3CERyebxfDh79izzgSo05gMpEfs0EBnZli1bUL16dVSvXh2bN29G+/btMWnSJPTp0webN2+WOzwioyosHyZOnIhevXoxH6jCYT6QkvFKA5GRTZo0CSdPnkRGRgZ8fX0RFRWFWrVqYdeuXfjPf/6Dnj17yh0ikdEUlg+enp6IiIjA+PHj0aNHD7lDJDIa5gMpGYsGIhk4OTkByLt/1dPTE1qtFtWqVYNWq5U5MiLjezIf8tuYD1QRMR9IqXh7EpGRqVQq5OTkAADWrVsntWs0GqmdqKJgPhA9wnwgJWPRQGRkv/32m/SJUYMGDaT2e/fuYerUqXKFRSQLffkwffp0ucIikgXzgZSMtycRGVndunULbXdxcYG/v7+RoyGSF/OB6BHmAykZrzQQEREREZFeLBqIiIiIiEgvFg1ECnDw4EG5QyBSDOYD0SPMB1IKFg1ECjBy5Ei5QyBSjOHDh8sdApFiMB9IKVg0ECmAEELuEIgUg/lA9AjzgZSCRQORAixatEjuEIgU48cff5Q7BCLFYD6QUrBoIFKAH374Qe4QiBRj/vz5codApBjMB1IKFg1ECnDu3Dm5QyBSjLNnz8odApFiMB9IKVg0EClA48aN5Q6BSDECAgLkDoFIMZgPpBQsGogUYODAgXKHQKQYgwYNkjsEIsVgPpBSsGggUgAOuUr0CIeYJHqE+UBKwaKBSAE4pB7RI8wHokeYD6QULBqIFIBDrhI9wiEmiR5hPpBSsGggUoDmzZvLHQKRYjAfiB5hPpBSsGggIiIiIiK9WDQQEREREZFepnIHQFQRaTQabN++HRcvXgQA1K1bF66urjJHRSSPJ/Ohfv36zAeqsJgPpFQsGoiM7Nq1a2jfvj1q1KiBgIAACCEQFhaGy5cvY//+/ahRo4bcIRIZjb58OHjwIKpXry53iERGw3wgJWPRQGRk48ePx5gxYzB06FCpTavV4vPPP8f48eOxevVqGaMjMq7C8gEAJkyYgHHjxuHXX3+VKTIi42M+kJKxTwORkR0/frzAHwQAeOONN3D8+HEZIiKSz9Py4c0338SxY8dkiIhIPswHUjIWDURGZmNjU6xpROUR84HoEeYDKRlvTyIysjt37mDhwoU6bUIIXL9+HXfv3pUpKiJ5FJYPAJgPVCExH0jJWDQQGdngwYNx584dnTYhBJKTkzFw4ECZoiKSR2H5AADJyckYNGiQDBERyYf5QErGooHIyL744osCbVqtFtHR0fD395chIiL5FJYPAJgPVCExH0jJ2KeBiIiIiIj0YtFARERERER6sWggIiIiIiK9FN2nYfLkyZgyZYpOW7169XDhwgUAQGZmJj7++GP89ttvyMrKQkhICBYuXAhnZ2dp/mvXruHDDz/Enj17YGtri379+mHGjBkwNVX0rlM5FxYWhi1btuDmzZsAAFdXVzRs2JD3rFKF9GQ+uLm5MR+owmI+kFIp/sy5YcOG2LVrl/T+8ZP90aNHY9u2bfjjjz9gb2+PYcOG4bXXXsPBgwcBALm5uejevTtcXFxw6NAhxMfHo2/fvjAzM8NXX31l9H0hAoCPPvoId+7cwTvvvAN3d3cAecPpLVq0CDExMVi8eLHMERIZT2H5cPPmTSxYsAAxMTFYtGiRzBESGQ/zgZRM8UWDqakpXFxcCrQ/ePAAy5Ytw5o1a9ChQwcAwPLly9GgQQP89ddfaNmyJXbu3ImYmBjs2rULzs7OaNy4MaZOnYrPPvsMkydPhrm5ubF3hwi7du3C33//rdPWpEkT1KpVC2+++aZMURHJo7B8aNasGWrVqoXXX39dpqiI5MF8ICVTfJ+Gf/75B25ubvD09MTbb7+Na9euAQBOnDgBjUaDTp06SfPWr18fNWrUwOHDhwEAhw8fhq+vr87tSiEhIUhJScG5c+eMuyNE/7K3t8f27dsLtO/fvx/29vYyREQkn6flw759+5gPVOEwH0jJFH2loUWLFlixYgXq1auH+Ph4TJkyBW3atMHZs2eRkJAAc3NzODg46Czj7OyMhIQEAEBCQoJOwZA/PX/a02RlZSErK0t6n5KSAgDQaDTQaDQlsWulIj82JcdYEZmamkIIIb1fu3Ytxo0bh8GDB8PR0REAkJSUhPr162P16tXQarXPXKdKpUJOTk6pxUxFx7wzjCH5sGbNmlLNBx67squ8HDsl5YMxlZfjV14U9Tgoumjo2rWr9LWfnx9atGiBmjVr4vfff4eVlVWpbXfGjBkFOmADwM6dO2FtbV1q2y0pERERcodA/7K1tUVgYCBycnKkX/ZVq1bF0qVLAeT9MQCAKlWqIC4uDs7OzlKR+jRqtRqmpqY4fPgwUlNTS3cHqMiYd89maD44OTkZJR947MqusnzslJoPxlSWj195kp6eXqT5FF00PMnBwQF169bFpUuXEBwcjOzsbCQnJ+tcbbh9+7bUB8LFxQVHjx7VWcft27elaU8zfvx4jBkzRnqfkpICDw8PdO7cGXZ2diW4RyVLo9EgIiICwcHBMDMzkzsc+teTnyQ9Lv/nKX/6P//8g6ZNmz5znSqVCkFBQSUXJBUb884wRckHIO9n/NKlS2jSpMkz11ncfOCxK7vKy7FTUj4YU3k5fuXFs4rRfGWqaEhNTUVsbCzeffddNG36//buPaqqOu/j+OdwOyCIqIh4wQuKKKammURqtSZGTMfHyibDSjM1rayZCq0eM60Zs6lGM5eZU16mnspqRtPMUjQtL6hpYiqkeMtUkLwgOKIC5/f8QZzxBGw1gXOQ92uts+Ts/dv7fH/8/G729+zbdfL19dXKlSs1YMAASdKuXbt08OBBxcXFSZLi4uI0adIkZWdnKywsTFJxVRscHKyYmJhyP8dut8tut5ea7uvrWy3+c1eXOGsSm81mOb/kW6ZZs2Y5v2W6GMbYs5B3l+5i+VDSZtasWXr77bcvaZ1X8rtn7Kqvq2HsPC0fqtLVMH5Xg0sdA48uGpKSktSvXz81b95cR44c0YQJE+Tt7a3ExETVqVNHw4YN05NPPql69eopODhYjz32mOLi4nTDDTdIknr16qWYmBjdf//9euWVV5SVlaXnnntOjz76aJlFAeBu//jHP9wdAuAxLnUHCagJyAe4m0cXDYcOHVJiYqKOHz+uBg0aqEePHtqwYYMaNGggSZo6daq8vLw0YMAAl4e7lfD29taSJUv08MMPKy4uToGBgRoyZIhefPFFd3UJkCTt3LlTS5YscXm4W1RUFA/vQY3063xo3Lgx+YAai3yAp/LoomH+/PmW8/39/TVjxgzNmDGj3DbNmzfX0qVLKzo04Df761//qs8//1z33HOP87zTQ4cO6cUXX1RaWpqef/55N0cIVJ2y8uHw4cPOfBg/frybIwSqDvkAT+bRRQNwNXr33Xe1a9cul/NYHQ6HevToocTERIoG1Chl5YMk9ezZUwMHDmQnCTUK+QBP5vEPdwOuNn5+fkpLSys1ff/+/VxrgxqHfAD+i3yAJ+NIA1DF5syZo6FDh6qoqEhNmjSRVHx60vnz57nQDTWOVT7Mnj3bzdEBVYt8gCejaACqWLdu3bRp0yZlZmbqyJEjkoqfG5Kdnc2FbqhxysqHxo0bkw+okcgHeDKKBsBNGjVqpEaNGkkqvqYhOztbGzdudD5nBKhJLswHSc58iI2NdWNUgHuQD/BEXNMAeJCBAwe6OwTAY/zxj390dwiAxyAf4G4caQCq2N13311qmjFGOTk5OnHihBsiAtynrHyQpJMnT5IPqHHIB3gyigagiq1YsULvvfeegoKCnNMcDof27Nmj77//3o2RAVWvrHyQpIyMDPIBNQ75AE9G0QBUsVtuuUW1a9d2PrhHKi4aQkJC1KFDBzdGBlS9svJBkkJCQtSxY0c3RQW4B/kAT0bRAFSxBQsWlDtv+fLlVRgJ4H5W+ZCcnFyFkQDuRz7Ak3EhNAAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUD4CHsdru7QwA8BvkA/Bf5AE9A0QB4AJvNpqCgINlsNneHAniEwMBAd4cAeAzyAZ6AogHwAIWFhbrrrrtUWFjo7lAAj5CYmOjuEACPQT7AE1A0AB4iIyPD3SEAHmPPnj3uDgHwGOQDPAFFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAAAAsETRAAAAAMASRQMAAAAASxQNAAAAACxRNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAAAAsETRAAAAAMASRQMAAAAASxQNAAAAACxRNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAAAAsETRAAAAAMASRQMAAAAASxQNAAAAACxRNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAAAAsETRAAAAAMASRQMAAAAASxQNAAAAACxRNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAAAAsETRAAAAAMASRQMAAAAASxQNAAAAACxRNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAAAAsETRAAAAAMASRQMAAAAASxQNAAAAACxRNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAVygoKMjdIQA1DnkHVC2KBgC4Aj4+PoqLi5OPj4+7QwFqDPIOqHoUDYCHyMnJkZ+fn2w2W5mviRMnSpIOHjyovn37qlatWgoLC9OYMWNUWFjosq7Vq1erS5custvtat26tebNm1f1HaohjDEqLCyUMcbdoVxVjh49Wm4uXE4+rF27Vt27d1f9+vUVEBCgtm3baurUqW7qFSpKTcu7isoHSTp37pzGjRun5s2by263q0WLFpozZ44beoXqhhId8BDBwcHasWOHfH199dFHH+n555/Xrl27nPODgoJUVFSkvn37Kjw8XOvXr1dmZqYGDx4sX19fvfTSS5Kk/fv3q2/fvho1apTef/99rVy5UsOHD1ejRo2UkJDgru5d1RwOh7tDuOqEhoZq+/btknRF+RAYGKjRo0erY8eOCgwM1Nq1azVy5EgFBgZq6NChbukbKkZNyruKygdJuvvuu3X06FHNnj1brVu3VmZmZo36XeIKGFzUqVOnjCRz6tQpd4di6fz58+bTTz8158+fd3couBwOhzmfmWlCQkLM+cxMYxwOM3fuXFOnTp1STZcuXWq8vLxMVlaWc9rMmTNNcHCwOXfunDHGmLFjx5r27du7LDdw4ECTkJBQqd2oqYqKiszJkydNUVGRu0O5qjRs2ND585XkQ1nuuOMOc99997HNrMZqWt5VVD588cUXpk6dOub48eOVHrMVcs+zXOp+LqcnAe6SkyNNmyZFRUmRkcXTIiOL3y9fLpVx2D0lJUUdOnRQw4YNndMSEhKUm5urnTt3OtvEx8e7LJeQkKCUlJRK6wrgDpeSD7+2detWrV+/XjfffHNVhQlUiUvJh8WLF6tr16565ZVX1KRJE7Vp00ZJSUnKz893V9ioRjg9CXCHZcukAQOkM2eK3/v7/3fevn3S3r3/bXfBKUVZWVkufxAkOd9nZWVZtsnNzVV+fr4CAgIquDOAe1xKPpRo2rSpfv75ZxUWFmrixIkaPny4CgoKqixWoLJdSj7s27dPa9eulb+/vxYuXKhjx47pkUce0fHjxzV37twqjxnVS4060jBjxgy1aNFC/v7+io2N1aZNm9wdEmqiZcukvn2l/Pziowm/PqJw4fu+fYvbX4V27dqla6+91vkKCAjQp59+Wqrd3r171bVrV7Vu3VqjRo0q88LHiRMnqmnTprr22msVFRWlxMRE/fjjjxUa75NPPqlrrrlGHTt21IoVK5zTlyxZouuvv17R0dF65513XJZ59tlntWLFCiUlJSk6OlodOnTQgw8+6Lww8dVXX3X2Pzo6WiEhIc5l33nnHUVFRSk6OlpLliyp0L7URGvWrNHmzZv11ltv6fXXX9eHH37o7pBcXE35EB0draioKPLBAzkcDtlsNr3//vvq1q2b+vTpoylTpuif//wnRxtwcVVyspQHmD9/vvHz8zNz5swxO3fuNCNGjDAhISHm6NGjF12WaxpQYU6eNCYw0Bgvr5JyweyWzBgfH+Pr62vG+PiY3ZKZK5k6UnG7wMDi5Ywx48ePN506dXJZ5b59+4wk89133xljjOnZs6f505/+5NJmzpw5Jjg4uPL79xvl5eWZ+vXrm9OnT5eaN2DAAPPZZ5+V+vlCEyZMMNOnT3e+nz59umnZsqU5e/ZshcS3ePFi07dvX1NUVGSOHz9urrvuOlNYWGgKCgpMVFSU2blzpzl16pRp06aNOXbsmHO57t27m7Nnz5rly5ebgoIC43A4zKBBg8zs2bNLfcbbb79thgwZYowx5tixY6ZNmzYmNzfXHD582ERFRZmCgoIK6Yun2717t3nmmWeM3W43zzzzjNm9e3e553BfSj6U5S9/+Ytp06aNx24zq3s+HDp0yOTl5VVqPpw7d65GXNNQ0fkwePBg06pVK5c2aWlpRpLZvXt3ZXWjFE/NvZqKaxp+ZcqUKRoxYoSGDh2qmJgYvfXWW6pVqxa3GUPV+uc/i09J+uVOFXMltZU0pbBQBQUFmlJYqLaS1pa0dziK27/7riQpLi5O27dvV3Z2tnOVycnJCg4OVkxMjLPNypUrXT42OTlZcXFxldu3K7B48WLdeuutCgwMdJlujNH69evVt29fSdJ9992nzz777KLrGz16tCIiIvTFF19USHzp6em6+eab5eXlpXr16ql+/fr69ttvtWnTJsXExKhx48YKCgrSbbfdpuXLl0uSsrOzFRwcLLvdrt///vfy8fGRzWZT165ddfjw4VKf8fHHH2vgwIGSpGXLlqlPnz6qXbu2GjdurJiYGH377bcV0hdPNnfuXLVt21avvvqqzp07p1dffVVt27bV2rVry2x/KflQFofDoXPnzlV4/BWlOudD+/bt1aRJE/KhAlRGPnTv3l1HjhzR6dOnnW12794tLy8vNW3atHI7hGqvRhQN58+f15YtW1wuDvXy8lJ8fDwXh6LqGCNNn+58myFpuCSHpKJfphX98n7OL/86vfGGZIx69eqlmJgY3X///dq2bZuWLVum5557To8++qjsdrskadSoUdq3b5/Gjh2rH374QW+++aY+/vhjPfHEE1XQyd/mwh2ECx0/flz16tWTzWaTJDVp0qTMHYyydOnSxeWWhFeiY8eOWrp0qc6dO6effvpJmzdv1uHDh3XkyBE1adLE2e7C+JKTk0tdkF5YWKgPPvhAvXr1cpl+7Ngxbdu2zdnear1Xq4yMDA0fPlwOh0NFRcUZUVRUJIfDoTlz5pR5S8hLyYcZM2bos88+U0ZGhjIyMjR79my99tpruu+++6q0f5eDfCAfKisfBg0apPr162vo0KFKS0vTN998ozFjxujBBx/kejdcVI24EPrYsWMqKioq8wKhH374oVT7c+fOuXwLlZubK0kqKCjw6AvnSmLz5BhrtOPHpSNHnBc9v11QINuvHrpzofOSCko24keOSNnZUr16WrhwoR577DHFxcUpMDBQ999/v8aPH+8c96ZNm2rRokVKSkrStGnT1LRpU82aNUu/+93v3PJ/w8fHx/IBTLm5uVq/fr0++OCDUn8IS95f+K8xplQ7Y0yp6eW1/S169eqlDRs2KDY2Vo0bN1b37t1ls9mcf8wvjKHks7/88kuNHTvW5fOTkpIUGxur66+/3mX6v/71L/Xr10/e3t7OuC/sd0k/yuqLzWYr9fCm6ujtt9927gyX5fz582X+/71YPhQUFOiZZ57RgQMH5OPjo8jISL300ksaMWKEW7aZV3s+XPgZlZkPF/b1wmXJB+t8sNvtWrp0qZ544gl17dpV9evX11133aUXXnihSvOA/RXPcqnjUCOKhss1efJkvfDCC6WmL1++XLVq1XJDRJcnOTnZ3SGgPBdcfLnh73+XY+3aMm+taiQ5fH0V9su3Q5Kktm1d2tjtdhUWFmru3Lnl3vWiVq1aOnHihJKSkpSUlFQhXbgcUVFR+te//qXTp0+XezrIkiVL1LVr1zK/BTXG6OjRo0pNTZXNZtO6detkt9u1bds2l3ZZWVk6e/asy/R169bp3nvvdZm2fft2TZo0SZI0duxYLVq0SLt27VKrVq10zz33uMzr0qWLy2f0799f/fv3l1R8NMfhcOjMmTNKT0/X/v37JUmpqam65pprlJqaqi1btqiwsND5+R9//LE2bdqkadOmlYp/zpw5evDBB53TCwoKtHPnTuf79PR0devWrdRydrtdQUFBuuuuu5SRkVHm77e6+M9//uNShF2oZMcwLCys3OUvlg9+fn6SpAMHDmj8+PEaP358xQR+GWpKPpR8RmXnQ0nelagp+WCz2dStWzctXbq0zPmjRo3SqFGjnO9LThG70GOPPabHHnvM+X7VqlVXGPFvw/6KZzhTcifHi6gRRUNoaKi8vb119OhRl+lHjx5VeHh4qfbPPvusnnzySef73NxcRUREqFevXgoODq70eH+rgoICJScn6/e//718fX3dHQ5+7fjx/z6PQdK6ggKtN0Zl/VnwlvRnYzTpwh2L/fulevUqPcyKdrFvVsePH6+RI0eqU6dOZc7v0aOHDh06pD/84Q+aNGmShgwZUqpteHi4QkNDndNnzpypnJwcjRo1ynlYXpI6derkclrKr58IXN4pK4WFhcrLy1PdunW1bt06+fn56c4771RhYaEmTZoku92uJk2aaMuWLZo2bZoOHTqkbt26OeP5/PPPtWzZMn311VeltiHZ2dk6dOiQhg0bJm9vb0nFp1/07NlTkZGRysvL06FDhzRo0CD5+JTeZJfsPFZ348aN05QpU8rcUfL29taf//xn505sRXHHNrMm5ENoaKjq1KlTqfmQmJio/Px81a5d2+Ub+ZqQDzabTTfccIP69OnjhsgqBvsrnqXkjJqLqtDLrz1Yt27dzOjRo53vi4qKTJMmTczkyZMvuix3T0KFcDiMadXKGJvNedckr+KDCqVeXpLJKLkhq81WvJzD4e4eVLicnBwTFhZW6um9w4YNM99++60xpvjuIV26dDGRkZFmxIgRZd4tZcKECaZJkyamU6dOpnXr1iYxMdH8+OOPFRbn6dOnTbt27Uy7du3MzTffbPbu3euct3DhQtOqVSvTqlUrM2vWLGOMMX/729/MBx984GzTqlUr06xZM9OpUyfTqVMn89e//tU578033zSjRo0q9ZmzZs0yrVq1MlFRUWbRokUV1hdPtXv3buPl5VV2Pnh5mYyMjAr/TE/bZl4N+bBo0SITFRVV6flwtT8R2h35UJU8Lfdqukvdz60xRcP8+fON3W438+bNM2lpaeahhx4yISEhLo9bLw9FAyrM6687iwbzy61VvSTj/csfAu9f3s/97xMcittPm+buyFGOsnZe4uPjzc8//+zGqKqnuXPnFueBt7fLv3Pnzq2Uz2ObWTUqIx+u9qLBmKrPh6pE7nmWS93PrRGnJ0nSwIED9fPPP+v5559XVlaWrr32Wn355ZelLo4GKtWQIdK4ccUPdnM49ICkHpL+4eOjDXFxuiElRQ8VFqp1SXsvLykgQBo82G0h4/Jxnu5v88ADD6hHjx6aPXu2Dhw4oBYtWmjYsGFq3br1xReGxyIffhvyAZ6mxhQNUvG9qkePHu3uMFCThYRI//538ZOevbwkh0OtJU3y9dXSp55Sn8RE+Zbc+cPLS7LZpAULipcDaoDWrVtr8uTJ7g4D8AjkAzxJjXhOA+BREhKkzz8vPoJgsxW/LlQyLSBAWrpU+tU9zAEAAKoaRQPgDgkJ0qFD0uuvu9xRSVLx+9dflw4fpmAAAAAeoUadngR4lJAQ6fHHpcceK35w24YNxbdVDQsrffQBAADAjTjSALibzfbf5y/Uq0fBUA15ebEpBaoaeQdULTIOAK6AzWaTj4+PywOmAFQu8g6oehQNAHAFCgsLlZKSosKSu14BqHTkHVD1KBoA4AqdPn3a3SEANQ55B1QtigYAAAAAligaAAAAAFiiaAAAAABgiaIBAAAAgCWKBgAAAACWKBoAAAAAWKJoAAAAAGCJogEAAACAJYoGAAAAAJYoGgAAAABYomgAAAAAYImiAQAAAIAligYAAAAAligaAAAAAFjycXcA1YExRpKUm5vr5kisFRQU6MyZM8rNzZWvr6+7w8FlYOyqL8au+mLsqi/Grnpj/DxLyf5tyf5ueSgaLkFeXp4kKSIiws2RAAAAABUvLy9PderUKXe+zVysrIAcDoeOHDmi2rVry2azuTuccuXm5ioiIkI//fSTgoOD3R0OLgNjV30xdtUXY1d9MXbVG+PnWYwxysvLU+PGjeXlVf6VCxxpuAReXl5q2rSpu8O4ZMHBwSRhNcXYVV+MXfXF2FVfjF31xvh5DqsjDCW4EBoAAACAJYoGAAAAAJYoGq4idrtdEyZMkN1ud3couEyMXfXF2FVfjF31xdhVb4xf9cSF0AAAAAAscaQBAAAAgCWKBgAAAACWKBoAAAAAWKJoAAAAAGCJoqGaatGihWw2m8vr5Zdfdmnz/fffq2fPnvL391dERIReeeWVUuv55JNP1LZtW/n7+6tDhw5aunRpVXUBF5gxY4ZatGghf39/xcbGatOmTe4OqUabOHFiqfxq27atc/7Zs2f16KOPqn79+goKCtKAAQN09OhRl3UcPHhQffv2Va1atRQWFqYxY8aosLCwqrty1fvmm2/Ur18/NW7cWDabTZ9++qnLfGOMnn/+eTVq1EgBAQGKj49XRkaGS5sTJ07o3nvvVXBwsEJCQjRs2DCdPn3apc2lbE9xeS42dg888ECpPOzdu7dLG8bOPSZPnqzrr79etWvXVlhYmG6//Xbt2rXLpU1FbSdXr16tLl26yG63q3Xr1po3b15ldw/lMaiWmjdvbl588UWTmZnpfJ0+fdo5/9SpU6Zhw4bm3nvvNTt27DAffvihCQgIMLNmzXK2WbdunfH29javvPKKSUtLM88995zx9fU127dvd0eXaqz58+cbPz8/M2fOHLNz504zYsQIExISYo4ePeru0GqsCRMmmPbt27vk188//+ycP2rUKBMREWFWrlxpNm/ebG644QZz4403OucXFhaaa665xsTHx5utW7eapUuXmtDQUPPss8+6oztXtaVLl5px48aZBQsWGElm4cKFLvNffvllU6dOHfPpp5+abdu2mf/5n/8xLVu2NPn5+c42vXv3Np06dTIbNmwwa9asMa1btzaJiYnO+ZeyPcXlu9jYDRkyxPTu3dslD0+cOOHShrFzj4SEBDN37lyzY8cOk5qaavr06WOaNWvmsh9SEdvJffv2mVq1apknn3zSpKWlmenTpxtvb2/z5ZdfVml/UYyioZpq3ry5mTp1arnz33zzTVO3bl1z7tw557Snn37aREdHO9/ffffdpm/fvi7LxcbGmpEjR1Z4vChft27dzKOPPup8X1RUZBo3bmwmT57sxqhqtgkTJphOnTqVOS8nJ8f4+vqaTz75xDktPT3dSDIpKSnGmOKdIS8vL5OVleVsM3PmTBMcHOySk6hYv97xdDgcJjw83Lz66qvOaTk5OcZut5sPP/zQGGNMWlqakWS+/fZbZ5svvvjC2Gw2c/jwYWPMpW1PcWXKKxr69+9f7jKMnefIzs42kszXX39tjKm47eTYsWNN+/btXT5r4MCBJiEhobK7hDJwelI19vLLL6t+/frq3LmzXn31VZdDeikpKbrpppvk5+fnnJaQkKBdu3bp5MmTzjbx8fEu60xISFBKSkrVdAA6f/68tmzZ4jIOXl5eio+PZxzcLCMjQ40bN1ZkZKTuvfdeHTx4UJK0ZcsWFRQUuIxZ27Zt1axZM+eYpaSkqEOHDmrYsKGzTUJCgnJzc7Vz586q7UgNtn//fmVlZbmMVZ06dRQbG+syViEhIeratauzTXx8vLy8vLRx40Znm4ttT1E5Vq9erbCwMEVHR+vhhx/W8ePHnfMYO89x6tQpSVK9evUkVdx2kv0Uz+Lj7gDw2zz++OPq0qWL6tWrp/Xr1+vZZ59VZmampkyZIknKyspSy5YtXZYpScysrCzVrVtXWVlZLsla0iYrK6tqOgEdO3ZMRUVFZY7DDz/84KaoEBsbq3nz5ik6OlqZmZl64YUX1LNnT+3YsUNZWVny8/NTSEiIyzIX5k55uVUyD1Wj5HdttZ3LyspSWFiYy3wfHx/Vq1fPpc3FtqeoeL1799add96pli1bau/evfrf//1f3XbbbUpJSZG3tzdj5yEcDof+/Oc/q3v37rrmmmskqcK2k+W1yc3NVX5+vgICAiqjSygHRYMHeeaZZ/S3v/3Nsk16erratm2rJ5980jmtY8eO8vPz08iRIzV58mQeyw5codtuu835c8eOHRUbG6vmzZvr448/5o8UUEXuuece588dOnRQx44d1apVK61evVq33nqrGyPDhR599FHt2LFDa9eudXcoqGScnuRBnnrqKaWnp1u+IiMjy1w2NjZWhYWFOnDggCQpPDy81F0KSt6Hh4dbtimZj8oXGhoqb29vxsHDhYSEqE2bNtqzZ4/Cw8N1/vx55eTkuLS5cMwuJf9Q+Up+11b5FR4eruzsbJf5hYWFOnHiBOPpYSIjIxUaGqo9e/ZIYuw8wejRo7VkyRKtWrVKTZs2dU6vqO1keW2Cg4P5AscNKBo8SIMGDdS2bVvL14XnZV4oNTVVXl5ezkO1cXFx+uabb1RQUOBsk5ycrOjoaOfh2Li4OK1cudJlPcnJyYqLi6ukHuLX/Pz8dN1117mMg8Ph0MqVKxkHD3L69Gnt3btXjRo10nXXXSdfX1+XMdu1a5cOHjzoHLO4uDht377dZYcmOTlZwcHBiomJqfL4a6qWLVsqPDzcZaxyc3O1ceNGl7HKycnRli1bnG2++uorORwOxcbGOttcbHuKynfo0CEdP35cjRo1ksTYuZMxRqNHj9bChQv11VdflToFrKK2k+yneBh3X4mNy7d+/XozdepUk5qaavbu3Wv+7//+zzRo0MAMHjzY2SYnJ8c0bNjQ3H///WbHjh1m/vz5platWqVuuerj42Nee+01k56ebiZMmMAtV91g/vz5xm63m3nz5pm0tDTz0EMPmZCQEJc7SqBqPfXUU2b16tVm//79Zt26dSY+Pt6Ehoaa7OxsY0zxrQSbNWtmvvrqK7N582YTFxdn4uLinMuX3EqwV69eJjU11Xz55ZemQYMG3HK1EuTl5ZmtW7earVu3GklmypQpZuvWrebHH380xhTfcjUkJMQsWrTIfP/996Z///5l3nK1c+fOZuPGjWbt2rUmKirK5badl7I9xeWzGru8vDyTlJRkUlJSzP79+82KFStMly5dTFRUlDl79qxzHYydezz88MOmTp06ZvXq1S63xD1z5oyzTUVsJ0tuuTpmzBiTnp5uZsyYwS1X3YiioRrasmWLiY2NNXXq1DH+/v6mXbt25qWXXnLZkBpjzLZt20yPHj2M3W43TZo0MS+//HKpdX388cemTZs2xs/Pz7Rv3958/vnnVdUNXGD69OmmWbNmxs/Pz3Tr1s1s2LDB3SHVaAMHDjSNGjUyfn5+pkmTJmbgwIFmz549zvn5+fnmkUceMXXr1jW1atUyd9xxh8nMzHRZx4EDB8xtt91mAgICTGhoqHnqqadMQUFBVXflqrdq1SojqdRryJAhxpji266OHz/eNGzY0NjtdnPrrbeaXbt2uazj+PHjJjEx0QQFBZng4GAzdOhQk5eX59LmUranuDxWY3fmzBnTq1cv06BBA+Pr62uaN29uRowYUerLFMbOPcoaN0lm7ty5zjYVtZ1ctWqVufbaa42fn5+JjIx0+QxULZsxxlT10Q0AAAAA1QfXNAAAAACwRNEAAAAAwBJFAwAAAABLFA0AAAAALFE0AAAAALBE0QAAAADAEkUDAAAAAEsUDQAAAAAsUTQAAKqUzWbTp59+Kkk6cOCAbDabUlNT3RrTxdx000364IMPrmgdb731lvr161dBEQFA1aJoAAC4TUREhDIzM3XNNddU6HpbtGih119/vULWtXjxYh09elT33HPPFa3nwQcf1Hfffac1a9ZUSFwAUJUoGgAAFe78+fOX1M7b21vh4eHy8fGp5Ih+uzfeeENDhw6Vl9eV/cn08/PToEGD9MYbb1RQZABQdSgaAKAa+fnnnxUeHq6XXnrJOW39+vXy8/PTypUry13u0KFDSkxMVL169RQYGKiuXbtq48aNzvkzZ85Uq1at5Ofnp+joaL333nsuyx88eFD9+/dXUFCQgoODdffdd+vo0aPO+RMnTtS1116rd955Ry1btpS/v78kKSMjQzfddJP8/f0VExOj5ORkl/X++vSk1atXy2azaeXKleratatq1aqlG2+8Ubt27XIus3fvXvXv318NGzZUUFCQrr/+eq1YscI5/5ZbbtGPP/6oJ554QjabTTabzTlv7dq16tmzpwICAhQREaHHH39c//nPfyx/31999VWp04psNptmzZqlP/zhD6pVq5batWunlJQU7dmzR7fccosCAwN14403au/evS7L9evXT4sXL1Z+fn65nwkAnoiiAQCqkQYNGmjOnDmaOHGiNm/erLy8PN1///0aPXq0br311jKXOX36tG6++WYdPnxYixcv1rZt2zR27Fg5HA5J0sKFC/WnP/1JTz31lHbs2KGRI0dq6NChWrVqlSTJ4XCof//+OnHihL7++mslJydr3759GjhwoMvn7NmzR//+97+1YMECpaamyuFw6M4775Sfn582btyot956S08//fQl9XPcuHH6+9//rs2bN8vHx0cPPvigS3/69OmjlStXauvWrerdu7f69eungwcPSpIWLFigpk2b6sUXX1RmZqYyMzMlFRcbvXv31oABA/T999/ro48+0tq1azV69Ohy41i7dq2zKPi1v/zlLxo8eLBSU1PVtm1bDRo0SCNHjtSzzz6rzZs3yxhTat1du3ZVYWGhS8EGANWCAQBUO4888ohp06aNGTRokOnQoYM5e/ZsuW1nzZplateubY4fP17m/BtvvNGMGDHCZdof//hH06dPH2OMMcuXLzfe3t7m4MGDzvk7d+40ksymTZuMMcZMmDDB+Pr6muzsbGebZcuWGR8fH3P48GHntC+++MJIMgsXLjTGGLN//34jyWzdutUYY8yqVauMJLNixQrnMp9//rmRZPLz88vtY/v27c306dOd75s3b26mTp3q0mbYsGHmoYcecpm2Zs0a4+XlVe66p06daiIjI0tNl2See+455/uUlBQjycyePds57cMPPzT+/v6llq1bt66ZN29euX0BAE/EkQYAqIZee+01FRYW6pNPPtH7778vu91ebtvU1FR17txZ9erVK3N+enq6unfv7jKte/fuSk9Pd86PiIhQRESEc35MTIxCQkKcbSSpefPmatCggct6IyIi1LhxY+e0uLi4S+pfx44dnT83atRIkpSdnS2p+EhDUlKS2rVrp5CQEAUFBSk9Pd15pKE827Zt07x58xQUFOR8JSQkyOFwaP/+/WUuk5+f7zzVyirGhg0bSpI6dOjgMu3s2bPKzc11WS4gIEBnzpyxjBUAPI3nXnkGACjX3r17deTIETkcDh04cMBlZ/XXAgICqiSmwMDACluXr6+v8+eSaxJKTqdKSkpScnKyXnvtNbVu3VoBAQG66667Lnrx9enTpzVy5Eg9/vjjpeY1a9aszGVCQ0N18uTJS47RKu4SJ06ccCmuAKA6oGgAgGrm/Pnzuu+++zRw4EBFR0dr+PDh2r59u8LCwsps37FjR73zzjs6ceJEmUcb2rVrp3Xr1mnIkCHOaevWrVNMTIxz/k8//aSffvrJebQhLS1NOTk5zjZlKVkuMzPTebRgw4YNv7nfF8b2wAMP6I477pBUXAwcOHDApY2fn5+KiopcpnXp0kVpaWlq3br1JX9W586dlZWVpZMnT6pu3bpXHPvevXt19uxZde7c+YrXBQBVidOTAKCaGTdunE6dOqU33nhDTz/9tNq0aeNyofCvJSYmKjw8XLfffrvWrVunffv26d///rdSUlIkSWPGjNG8efM0c+ZMZWRkaMqUKVqwYIGSkpIkSfHx8erQoYPuvfdefffdd9q0aZMGDx6sm2++WV27di33c+Pj49WmTRsNGTJE27Zt05o1azRu3Lgr7n9UVJTzYutt27Zp0KBBpb7Nb9Gihb755hsdPnxYx44dkyQ9/fTTWr9+vUaPHq3U1FRlZGRo0aJFlhdCd+7cWaGhoVq3bt0Vxy1Ja9asUWRkpFq1alUh6wOAqkLRAADVyOrVq/X666/rvffeU3BwsLy8vPTee+9pzZo1mjlzZpnL+Pn5afny5QoLC1OfPn3UoUMHvfzyy/L29pYk3X777Zo2bZpee+01tW/fXrNmzdLcuXN1yy23SCo+zWbRokWqW7eubrrpJsXHxysyMlIfffSRZaxeXl5auHCh8vPz1a1bNw0fPlyTJk264t/BlClTVLduXd14443q16+fEhIS1KVLF5c2L774og4cOKBWrVo5TwXq2LGjvv76a+3evVs9e/ZU586d9fzzz7tcc/Fr3t7eGjp0qN5///0rjluSPvzwQ40YMaJC1gUAVclmjDHuDgIAAE+VlZWl9u3b67vvvlPz5s1/83p27typ3/3ud9q9e7fq1KlTgRECQOXjSAMAABbCw8M1e/bsi96d6WIyMzP17rvvUjAAqJY40gAAAADAEkcaAAAAAFiiaAAAAABgiaIBAAAAgCWKBgAAAACWKBoAAAAAWKJoAAAAAGCJogEAAACAJYoGAAAAAJYoGgAAAABY+n/gLEZoa5pqGQAAAABJRU5ErkJggg==", + "image/png": 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", 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" ] @@ -170,7 +170,12 @@ "fm_emg.set(layout_x=layout_x, layout_y=layout_y)\n", "\n", "fig, ax = plt.subplots(figsize=(9, 8))\n", - "plot_layout_with_waking_directions(fm_benchmark, limit_dist_D=D_between_turbines_y * 1.2, ax=ax)\n", + "layoutviz.plot_turbine_points(fm_benchmark, ax=ax)\n", + "layoutviz.plot_turbine_labels(fm_benchmark, ax=ax)\n", + "layoutviz.plot_waking_directions(fm_benchmark, limit_dist_D=D_between_turbines_y * 1.2, ax=ax)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", + "ax.set_ylabel(\"y coordinate [m]\")\n", "\n", "# Show the special turbine locations\n", "ax.scatter(\n", From 670fd4e237beeb57004e9ea18dee9f039b6a9613 Mon Sep 17 00:00:00 2001 From: misi9170 Date: Tue, 9 Apr 2024 09:57:50 -0600 Subject: [PATCH 2/5] switch smarteole examples, main on utilities examples to floris layoutviz. --- .../00_inspect_floris_model.ipynb | 72 +++++++++++-------- flasc/utilities/utilities_examples.py | 15 ++-- 2 files changed, 51 insertions(+), 36 deletions(-) diff --git a/examples_smarteole/00_inspect_floris_model.ipynb b/examples_smarteole/00_inspect_floris_model.ipynb index a852e25b..709fe5cb 100644 --- a/examples_smarteole/00_inspect_floris_model.ipynb +++ b/examples_smarteole/00_inspect_floris_model.ipynb @@ -34,13 +34,9 @@ "source": [ "import matplotlib.pyplot as plt\n", "from floris.flow_visualization import visualize_cut_plane\n", + "import floris.layout_visualization as layoutviz\n", "\n", - "from flasc.utilities.utilities_examples import load_floris_smarteole as load_floris\n", - "from flasc.visualization import (\n", - " plot_floris_layout,\n", - " plot_layout_only,\n", - " plot_layout_with_waking_directions,\n", - ")" + "from flasc.utilities.utilities_examples import load_floris_smarteole as load_floris" ] }, { @@ -106,7 +102,7 @@ }, { "data": { - "image/png": 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", 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iRym5hhS33dq1a0vnIxaZP3/+Y4/0FafoljNFvvzySwAP7qn4rIKDg+Ho6IhPPvkEWq1Wb97Q7V2eRtERuofrXX5+vk79NdZ+QkND8fPPP+PQoUN688XVPmtra9SvXx9CCIPfi4qOR/roidRqNT799FOEhYWhc+fO6N+/v3S7BR8fH0RHR0tri5qdsWPHIjg4GJaWlk/81IqOHTtiyZIlaNSokXSErHnz5rC3t8e///5bonNxnma/JVGzZk2MGzcOM2fOhFarRatWrbBy5Ups27YNCxcufOKNmZ9FtWrV8M477yA+Ph7/+9//0LNnT+zfvx+///47qlatWuxzLSws8M0336BXr15o2rQpwsLCUL16dfzzzz84fPgw/vjjDwAP/qPo0KEDGjVqhBEjRuD5559HdnY20tPTce7cORw4cADAg6a2S5cuaNGiBVxdXbF3716sWLECo0ePNln+JB9KriFNmzaFpaUlPv30U9y4cQM2NjZ48cUX4ebmhuHDh2PUqFEIDQ1FYGAgDhw4gD/++OOJ/74NOXXqFF566SV0794d6enp+OmnnzBgwAA0adLkmXNwdHTEN998g8GDB6N58+bo168fqlWrhjNnzuC3335D+/btpZvXP4t27drBxcUFQ4cOxdixY6FSqfDjjz+a5C306dOnY/PmzWjTpg1GjBiB+vXr49q1a9i3bx82btyIa9euAQCCgoLg4eGB9u3bw93dHUePHsVXX32FkJAQ6fYvZqXsLxim8lJ02fxff/1V7LpHb7dQZOnSpaJZs2bCxsZGuLq6ioEDB0q3aChy//59MWbMGFGtWjWhUqlKdOuFhIQEAUBERkbqjAcEBAgAYtOmTTrjhm638Lj9Fq2dOXOm3n7xmNslPKqgoEB88sknwtvbW1hbW4sGDRqIn3766YnPK/K42yQ8+nMw9H0vKCgQU6dOFdWrVxeVKlUSXbp0EYcOHdLb5uN+Ztu3bxeBgYGicuXKwt7eXjRu3Fh8+eWXOmtOnDghhgwZIjw8PIRarRbPPfec+N///idWrFghrfnoo49E69athbOzs6hUqZLw8/MTH3/8scjPzy/x94HMH2uIrpLWkO+++048//zzwtLSUuf7UlBQIMaPHy+qVq0q7OzsRHBwsDh+/HiJa4YQ/3fLliNHjohXX31VVK5cWbi4uIjRo0fr3B5HiGerRUXjwcHBwsnJSdja2oratWuLYcOGib179xabf2n2s2PHDtG2bVtRqVIlUaNGDfHee+9Jt1x5eF3nzp0N3krF29vb4O2lAIioqCidsezsbBEVFSU8PT2FWq0WHh4eolu3bmL+/PnSmm+//VZ06tRJVKlSRdjY2IjatWuLd999V9y4caPYnCsqlRBldNY4EREREZUbntNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAXhz5hIoLCzEhQsXULlyZZN9VA8RlT0hBG7evIkaNWrAwsI8fwdmfSKSJ1PUJzZ9JXDhwgV4enqWdxhEZCJnz55FzZo1yzuMp8L6RCRvxqxPbPpKoOijVs6ePQtHR8dyjqbktFotNmzYgKCgIKjV6vIO56nJIQ855ADII4+Hc7h79y48PT3N8+OU/j/Wp/IlhzzkkAMgjzxMXZ/Y9JVA0Vsmjo6OZldU7ezs4OjoaLb/AAB55CGHHAB55GEoB3N+W5T1qXzJIQ855ADIIw9T1yfzPImFiIiIiEqFTR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RBVQQkICfHx8YGtrizZt2mDPnj3S3L179xAVFYUqVarAwcEBoaGhyM7O1nn+mTNnEBISAjs7O7i5ueHdd9/F/fv3yzoNIpKZy5cvIzIyEl5eXrCxsYGHhweCg4OxY8cOAICPjw9UKhWWLFmi99wGDRpApVIhJSUF+fn5qFq1KqZPn25wP9OmTYO7uzu0Wi0uXryIAQMG4IUXXoCFhQXGjRtnyhRlrVybvvj4eLRq1QqVK1eGm5sbXn75ZRw7dkxnjbH+g9uyZQuaN28OGxsb+Pr6IiUlxdTpET2VpUuXIiYmBnFxcdi3bx+aNGmC4OBgXLp0CQAQHR2NNWvWYPny5UhLS8OFCxfQp08f6fkFBQUICQlBfn4+du7ciQULFiAlJQWTJ08ur5TMEusTkb7Q0FDs378fCxYswL///ovVq1ejS5cuuHr1qrTG09MTycnJOs/btWsXNBoN7O3tAQDW1tYYNGiQ3joAEEIgJSUFQ4YMgVqtRl5eHqpVq4aJEyeiSZMmpk1Q7kQ5Cg4OFsnJyeLQoUMiMzNT9OzZU3h5eYlbt25Ja0aNGiU8PT3Fpk2bxN69e0Xbtm1Fu3btpPn79++Lhg0bioCAALF//36xbt06UbVqVREbGyutOXnypLCzsxMxMTHiyJEj4ssvvxSWlpZi/fr1JYrzxo0bAoC4ceOG8ZIvA/n5+WLlypUiPz+/vEN5JnLIozQ5tG7dWkRFRUmPCwoKRI0aNUR8fLzIyckRarVaLF++XJo/evSoACDS09OFEEKsW7dOWFhYCI1GI6355ptvhKOjo8jLyyuzPCqqh3Mo7t8265NpyeG1JIQ88ihpDtevXxcAxJYtWx67xtvbW7z//vvCxsZGnDlzRhofMWKEGDNmjHBychLJyclCCCEOHjwoAIht27bpbGPz5s0CgDh69Kje9jt37izeeuutZ8qjIitpfXpa5dr0PerSpUsCgEhLSxNCCKP9B/fee++JBg0a6Ozr9ddfF8HBwSWKi0W1fMkhj5LmkJeXJywtLcWvv/6qMz5kyBDx0ksviU2bNgkA4vr16zrzXl5eYtasWUIIISZNmiSaNGmiM3/y5EkBQOzbt69M8qjInraosj4ZlxxeS0LII4+S5qDVaoWDg4MYN26cuHfvnsE13t7eYvbs2eKll14S06ZNE0IIcfv2beHo6Cj279+v0/QJIUSrVq1EWFiYzjaGDBmi88vTw9j0PRursj6yWJwbN24AAFxdXQEAGRkZ0Gq1CAgIkNb4+fnBy8sL6enpaNu2LdLT09GoUSO4u7tLa4KDgxEZGYnDhw+jWbNmSE9P19lG0ZrHnReQl5eHvLw86XFubi4AQKvVQqvVGiXXslAUqznFbIgc8ihpDhcvXkRBQQGqVKmis7Zq1ao4evQozp07B2tra9jb2+vMu7m54fz589Bqtbhw4QLc3Nx05ov+TZ07dw4NGzY0eR4V2cM5lCYP1ifjksNrCZBHHqXJ4fvvv0dkZCTmzZuHZs2aoWPHjujbty8aN24srSkoKMCQIUMwfvx4vPfee1iyZAmef/55NGjQQJov2tewYcMwfvx4fP7553BwcMDNmzexYsUKzJ4922A8QggUFhYanJPbz8IUeVSYpq+wsBDjxo1D+/btpf+UNBoNrK2t4ezsrLPW3d0dGo1GWvNwQS2aL5orbk1ubi7u3r2LSpUq6czFx8dj6tSpejFu2LABdnZ2T59kOUlNTS3vEIxCDnk8KYdr164BAHbu3Cn9HQBOnjyJnJwcZGZmorCwEOvWrdN53o0bN3Dy5EmsW7cOZ86cweXLl3XWFDUJf/31FwoLC02ehzlITU3FnTt3SrSW9cl05PBaAuSRR0lysLW1xbfffosjR47g2LFjWLVqFT777DNERUWhW7duuHPnDo4cOYJatWrh6tWrmDlzJhYvXox27dph3bp10Gq1OHDggFSfXFxckJ+fj8mTJyMgIACpqakoLCyEo6OjXp0DgKtXr+LUqVMG50qTR0VXmvpUGhWm6YuKisKhQ4ewffv28g4FsbGxiImJkR7n5ubC09MTQUFBcHR0LMfISker1SI1NRWBgYFQq9XlHc5Tk0Mej8shKysLKSkp+O+//+Dt7Y0BAwbA0tIStWvXRs+ePaV1K1asQN26ddG9e3fMnj0b7dq102k2xo4di3bt2qFnz57Ys2cP1q5dq/P8U6dOAQD+97//oVmzZkbPw5w8nMPdu3dL9BzWJ+OTw2sJkEceJa1Pw4YNQ506dQAAL7/8srTujTfewKpVq/D555/Dzs4O9evXR69evRAeHo4NGzbgxIkT+PPPP+Hi4gK1Wo0mTZro1KfffvsN+/fvx6xZs/Dpp5+iX79+CA0NNRjrrFmzUKtWLZ3nPykPc/I09ak0KkTTN3r0aKxduxZbt25FzZo1pXEPDw/k5+cjJydH5z+47OxseHh4SGsevp1F0XzRXNGfj15Rl52dDUdHR73fogHAxsYGNjY2euNqtdosX0jmGvej5JDHwzkkJydj+PDhUKlUEEJApVLh888/h4+PD9LS0vDqq68CeHCUafPmzRg9ejTatGkDtVqNrVu3SkXx2LFjOHPmDDp06AC1Wo0OHTpg+vTpuH79Otzc3AA8uDrU0dERTZo0Mcr3UC4/i5Lcxob1ybTMNe5HySGPktSnxMREDBs2TOd5DRs2xOrVq6XnWlpaQq1WY/jw4Zg1axZef/11qRY9PF9kxIgR6NKlC/744w+kp6fjs88+e+z3UqVSwcLCotjvtVx+Fqa4zVa53rJFCIHRo0fj119/xZ9//olatWrpzLdo0QJqtRqbNm2Sxor+g/P39wcA+Pv74++//5ZuZwE8OCzq6OiI+vXrS2se3kbRmqJtEJW1rKwsDB8+HIWFhSgoKND589SpU5g/fz4WLFiAo0ePIjIyErdv30ZYWBicnJwQERGBmJgYbN68GRkZGQgLC4O/vz/atm0LAAgKCkL9+vUxePBgHDhwAH/88QcmTpyIqKgog80CGcb6REpVXH0KCwvD559/joMHD+LUqVNYvnw5ZsyYgd69e+ttp169erhy5YrB27I8rFOnTvD19cWQIUPg5+eHdu3a6a3JzMxEZmYmbt26hcuXLyMzMxNHjhwxWs6KYbRLQp5CZGSkcHJyElu2bBEXL16Uvu7cuSOtGTVqlPDy8hJ//vmn2Lt3r/D39xf+/v7SfNEtEYKCgkRmZqZYv369qFatmsFbIrz77rvi6NGjIiEhgbdEMCNyyOPRHN5//31haWkpAOh9WVpaisDAQOHl5SWsra1F69atxa5du6Rt3b17V7z55pvCxcVF2NnZiVdeeUVcvHhRZ3+nT58WPXr0EJUqVRJVq1YVb7/9ttBqtUbPwxyV9Oo41ifTksNrSQh55FGa+qRSqYS7u7twcnISdnZ2om7dumLixInSv4uiq3cf59Grd4t88sknAoCYMWOGwecZisXb27vYPMyRrG/ZYuiHCEDnBWGs/+A2b94smjZtKqytrcXzzz9v8EX3OCyq5UsOeTyaQ79+/YSFhYXB17+FhYXo169fOUdsmNx+FsX922Z9Mi05vJaEkEcerE8Vh6xv2SKEeOIaW1tbJCQkICEh4bFrvL29i72SBwC6dOmC/fv3lzpGIlMo+qgiQ1QqFXx8fMo2INLD+kRKxfokX/zsXaJyEB4e/timQgiBiIiIMo6IiOgB1if5YtNHVA7q1KmDxMREWFhYwNLSUufPxMRE+Pr6lneIRKRQrE/yVSFu2UKkRMOGDUOHDh2QmJiI06dPw8fHBxERESyoRFTuWJ/kiU0fUTny9fVFfHx8eYdBRKSH9Ul++PYuERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpADl2vRt3boVvXr1Qo0aNaBSqbBy5UqdeZVKZfBr5syZ0hofHx+9+enTp+ts5+DBg+jYsSNsbW3h6emJGTNmlEV6RGTGWJ+ISG7Ktem7ffs2mjRpgoSEBIPzFy9e1PlKSkqCSqVCaGiozroPP/xQZ92YMWOkudzcXAQFBcHb2xsZGRmYOXMmpkyZgvnz55s0NyIyb6xPRCQ3VuW58x49eqBHjx6Pnffw8NB5vGrVKnTt2hXPP/+8znjlypX11hZZuHAh8vPzkZSUBGtrazRo0ACZmZmYNWsWRo4c+exJEJEssT4RkdyUa9NXGtnZ2fjtt9+wYMECvbnp06dj2rRp8PLywoABAxAdHQ0rqweppaeno1OnTrC2tpbWBwcH49NPP8X169fh4uKit728vDzk5eVJj3NzcwEAWq0WWq3W2KmZTFGs5hSzIXLIQw45APLI4+EcjJUH61PpyeG1BMgjDznkAMgjD1PUp4eZTdO3YMECVK5cGX369NEZHzt2LJo3bw5XV1fs3LkTsbGxuHjxImbNmgUA0Gg0qFWrls5z3N3dpTlDRTU+Ph5Tp07VG9+wYQPs7OyMlVKZSU1NLe8QjEIOecghB0AeeaSmpuLOnTtG2Rbr09OTw2sJkEcecsgBkEcexqxPDzObpi8pKQkDBw6Era2tznhMTIz098aNG8Pa2hpvvPEG4uPjYWNj81T7io2N1dlubm4uPD09ERQUBEdHx6dLoBxotVqkpqYiMDAQarW6vMN5anLIQw45APLI4+Ec7t69a5Rtsj6VnhxeS4A88pBDDoA88jBFfXqYWTR927Ztw7Fjx7B06dInrm3Tpg3u37+P06dPo27duvDw8EB2drbOmqLHjzvPxsbGxmBBVqvVZvlCMte4HyWHPOSQAyCPPNRqNe7fv//M22F9ejbmGvej5JCHHHIA5JGHserTo8ziPn2JiYlo0aIFmjRp8sS1mZmZsLCwgJubGwDA398fW7du1XlvPDU1FXXr1jX41gkRUWmwPhGRuSjXpu/WrVvIzMxEZmYmAODUqVPIzMzEmTNnpDW5ublYvnw5hg8frvf89PR0zJkzBwcOHMDJkyexcOFCREdHY9CgQVLBHDBgAKytrREREYHDhw9j6dKlmDt3rs7bI0REj2J9IiK5Kde3d/fu3YuuXbtKj4sK3dChQ5GSkgIAWLJkCYQQ6N+/v97zbWxssGTJEkyZMgV5eXmoVasWoqOjdQqmk5MTNmzYgKioKLRo0QJVq1bF5MmTeTsEIioW6xMRyU25Nn1dunSBEKLYNSNHjnxsAWzevDl27dr1xP00btwY27Zte6oYiUiZWJ+ISG7M4pw+IiIiIno2bPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1E5SAhIQE+Pj6wtbVFmzZtsGfPHmnu3r17iIqKQpUqVeDg4IDQ0FBkZ2frPH/s2LFo0aIFbGxs0LRp0zKOnojk6vLly4iMjISXlxdsbGzg4eGB4OBg7NixAwDg4+MDlUqFJUuW6D23QYMGUKlUSElJQX5+PqpWrYrp06cb3M+0adPg7u4OrVaLX375BYGBgahWrRocHR3h7++PP/74w6R5KhWbPqIytnTpUsTExCAuLg779u1DkyZNEBwcjEuXLgEAoqOjsWbNGixfvhxpaWm4cOEC+vTpo7ed8PBwvP7662UdPhHJWGhoKPbv348FCxbg33//xerVq9GlSxdcvXpVWuPp6Ynk5GSd5+3atQsajQb29vYAAGtrawwaNEhvHQAIIZCSkoIhQ4ZArVZj69atCAwMxLp165CRkYGuXbuiV69e2L9/v2mTVSCr8g6ASGlmzZqFESNGICwsDAAwb948/Pbbb0hKSkJkZCQSExOxaNEivPjiiwCA5ORk1KtXD7t27ULbtm0BAF988QWAB7+VHzx4sHwSISJZycnJwbZt27BlyxZ07twZAODt7Y3WrVvrrBs4cCBmz56Ns2fPwtPTEwCQlJSEgQMH4ocffpDWRUREYO7cudi+fTs6dOggjaelpeHkyZOIiIgAAMyZM0dn+5988glWrVqFNWvWoFmzZqZIVbF4pI+oDOXn5yMjIwMBAQHSmIWFBQICApCeno6MjAxotVqdeT8/P3h5eSE9Pb08QiYihXBwcICDgwNWrlyJvLy8x65zd3dHcHAwFixYAAC4c+cOli5divDwcJ11jRo1QqtWrZCUlKQznpycjHbt2sHPz8/g9gsLC3Hz5k24uro+Y0b0KDZ9RGXoypUrKCgogLu7u864u7s7NBoNNBoNrK2t4ezsbHCeiMhUrKyskJKSggULFsDZ2Rnt27fHhAkTDL6bEB4ejpSUFAghsGLFCtSuXdvg+cURERFYvnw5bt26BQC4efMmVqxYodcgPuyzzz7DrVu30LdvX6PlRg+w6SMiIiIAD87pu3DhAlavXo3u3btjy5YtaN68OVJSUnTWhYSE4NatW9i6dSuSkpIe28T1798fBQUFWLZsGYAH5zRbWFg89nzkRYsWYerUqVi2bBnc3NyMmhux6SMqU1WrVoWlpaXe1bjZ2dnw8PCAh4cH8vPzkZOTY3CeiMjUbG1tERgYiEmTJmHnzp0YNmwY4uLidNZYWVlh8ODBiIuLw+7duzFw4ECD23J0dMSrr74qXdCRnJyMvn37wsHBQW/tkiVLMHz4cCxbtkznFBcyHjZ9RCaSlZWF2NhY9O/fHx988AEuXLgAa2trtGjRAps2bZLWFRYWYtOmTfD390eLFi2gVqt15o8dO4YzZ87A39+/PNIgIhkyVJ8ep379+rh9+7beeHh4ONLS0tC7d2+4uLg89vkRERHYvn071q5di507d0oXcDxs8eLFCAsLw+LFixESEvJ0SdET8epdIhNITk7G8OHDoVKpIISASqVCYWEhrK2tERMTg6FDh6Jly5Zo3bo15syZg9u3byMsLAxOTk6IiIhATEwMXF1d4ejoiDFjxsDf31+6chcAjh8/jlu3bkGj0eDu3bvIzMwE8KA4W1tbl1PWRGQOHlef8vPzsWrVKoSHh6Nx48aoXLky9u7dixkzZqB3795626lXrx6uXLkCOzu7YvfXqVMn+Pr6YsiQIfDz80O7du105hctWoShQ4di7ty5aNOmjXT+cqVKleDk5GS8xIlNH5GxZWVlYfjw4SgsLNSbGzlyJI4dO4bPPvsMkydPhkajQdOmTbF+/Xrp4o7Zs2fDwsICoaGhyMvLQ3BwML7++mud7QwfPhxpaWnS46LbGpw6dQo+Pj6mS46IzFpx9Sk6OhojR47E7NmzceLECWi1Wnh6emLEiBGYMGGCwe1VqVLliftUqVQIDw/HhAkTEBsbqzc/f/583L9/H1FRUYiKipLGhw4dqncuIT0bNn1ERpaUlASVSmVwTqVSITExEfHx8Rg9erTBNba2tkhISEBCQsJj97FlyxZjhEpEClNcfbKwsICLiwsyMjIe+/zTp08Xu/1Hz0cuEhsba7DhA1jPyhLP6SMystOnT0MIYXBOCPHEoklEZCqsT8rGpo/IyIo+m9IQlUrFt1+JqNywPikbmz4iIwsPDy/2N2lDV64REZUF1idlY9NHZGR16tRBYmIiLCwsYGlpKf2pUqkwf/58+Pr6lneIRKRQrE/Kxgs5iExg2LBh6NChAxITE3H69Gl4enri+eefx5AhQ8o7NCJSONYn5WLTR2Qivr6+iI+PBwBotVqsW7eunCMiInqA9UmZ+PYuERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFKNemb+vWrejVqxdq1KgBlUqFlStX6swPGzYMKpVK56t79+46a65du4aBAwfC0dERzs7OiIiIwK1bt3TWHDx4EB07doStrS08PT0xY8YMU6dGRGaO9YmI5KZcm77bt2+jSZMmSEhIeOya7t274+LFi9LX4sWLdeYHDhyIw4cPIzU1FWvXrsXWrVsxcuRIaT43NxdBQUHw9vZGRkYGZs6ciSlTpmD+/Pkmy4uIzB/rExHJjVV57rxHjx7o0aNHsWtsbGzg4eFhcO7o0aNYv349/vrrL7Rs2RIA8OWXX6Jnz5747LPPUKNGDSxcuBD5+flISkqCtbU1GjRogMzMTMyaNUun+BIRPYz1iYjkplybvpLYsmUL3Nzc4OLighdffBEfffQRqlSpAgBIT0+Hs7OzVFABICAgABYWFti9ezdeeeUVpKeno1OnTrC2tpbWBAcH49NPP8X169fh4uKit8+8vDzk5eVJj3NzcwEAWq0WWq3WVKkaXVGs5hSzIXLIQw45APLI4+EcnjUP1qenJ4fXEiCPPOSQAyCPPIxZnwyp0E1f9+7d0adPH9SqVQsnTpzAhAkT0KNHD6Snp8PS0hIajQZubm46z7GysoKrqys0Gg0AQKPRoFatWjpr3N3dpTlDRTU+Ph5Tp07VG9+wYQPs7OyMlV6ZSU1NLe8QjEIOecghB0AeeaSmpuLOnTtP/XzWJ+OQw2sJkEcecsgBkEcez1qfHqdCN339+vWT/t6oUSM0btwYtWvXxpYtW9CtWzeT7Tc2NhYxMTHS49zcXHh6eiIoKAiOjo4m26+xabVapKamIjAwEGq1urzDeWpyyEMOOQDyyOPhHO7evfvU22F9ejZyeC0B8shDDjkA8sjDWPXpcSp00/eo559/HlWrVsXx48fRrVs3eHh44NKlSzpr7t+/j2vXrknn2Xh4eCA7O1tnTdHjx52LY2NjAxsbG71xtVptli8kc437UXLIQw45APLIQ61W4/79+0bbHuvT0zHXuB8lhzzkkAMgjzyMXZ+KmNV9+s6dO4erV6+ievXqAAB/f3/k5OQgIyNDWvPnn3+isLAQbdq0kdZs3bpV573x1NRU1K1b1+BbJ0RET4P1iYgqunJt+m7duoXMzExkZmYCAE6dOoXMzEycOXMGt27dwrvvvotdu3bh9OnT2LRpE3r37g1fX18EBwcDAOrVq4fu3btjxIgR2LNnD3bs2IHRo0ejX79+qFGjBgBgwIABsLa2RkREBA4fPoylS5di7ty5Om+PEBE9ivWJiOSmXJu+vXv3olmzZmjWrBkAICYmBs2aNcPkyZNhaWmJgwcP4qWXXsILL7yAiIgItGjRAtu2bdN5a2PhwoXw8/NDt27d0LNnT3To0EHnHldOTk7YsGEDTp06hRYtWuDtt9/G5MmTeTsEIioW6xMRyU25ntPXpUsXCCEeO//HH388cRuurq5YtGhRsWsaN26Mbdu2lTo+IlIu1icikhuzOqePiIiIiJ4Omz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIypHCQkJ8PHxga2tLdq0aYM9e/ZIc/fu3UNUVBSqVKkCBwcHhIaGIjs7W5o/cOAA+vfvD09PT1SqVAn16tXD3LlzyyMNIpKZy5cvIzIyEl5eXrCxsYGHhweCg4OxY8cOAICPjw9UKhWWLFmi99wGDRpApVIhJSUF+fn5qFq1KqZPn25wP9OmTYO7uzu0Wi22b9+O9u3bo0qVKqhUqRL8/Pwwe/Zsk+apNGz6iMrJ0qVLERMTg7i4OOzbtw9NmjRBcHAwLl26BACIjo7GmjVrsHz5cqSlpeHChQvo06eP9PyMjAy4ubnhp59+wuHDh/HBBx8gNjYWX331VXmlREQyERoaiv3792PBggX4999/sXr1anTp0gVXr16V1nh6eiI5OVnnebt27YJGo4G9vT0AwNraGoMGDdJbBwBCCKSkpGDIkCFQq9Wwt7fH6NGjsXXrVhw9ehQTJ07ExIkTMX/+fNMmqyBW5R0AkVLNmjULI0aMQFhYGABg3rx5+O2335CUlITIyEgkJiZi0aJFePHFFwEAycnJqFevHnbt2oW2bdsiPDxcZ3vPP/880tPT8csvv2D06NFlng8RyUNOTg62bduGLVu2oHPnzgAAb29vtG7dWmfdwIEDMXv2bJw9exaenp4AgKSkJAwcOBA//PCDtC4iIgJz587F9u3b0aFDB2k8LS0NJ0+eREREBACgWbNmaNasmTTv4+ODX375Bdu2bcPIkSNNlq+S8EgfUTnIz89HRkYGAgICpDELCwsEBAQgPT0dGRkZ0Gq1OvN+fn7w8vJCenr6Y7d748YNuLq6mjR2IpI3BwcHODg4YOXKlcjLy3vsOnd3dwQHB2PBggUAgDt37mDp0qV6v5A2atQIrVq1QlJSks54cnIy2rVrBz8/P4Pb379/P3bu3Ck1nvTs2PQRlYMrV66goKAA7u7uOuPu7u7QaDTQaDSwtraGs7OzwXlDdu7ciaVLl/I3YiJ6JlZWVkhJScGCBQvg7OyM9u3bY8KECTh48KDe2vDwcKSkpEAIgRUrVqB27dpo2rSp3rqIiAgsX74ct27dAgDcvHkTK1as0GsQAaBmzZqwsbFBy5YtERUVheHDhxs9R6Vi00ckA4cOHULv3r0RFxeHoKCg8g6HiMxcaGgoLly4gNWrV6N79+7YsmULmjdvjpSUFJ11ISEhuHXrFrZu3YqkpCSDTRwA9O/fHwUFBVi2bBmAB+c0W1hY4PXXX9dbu23bNuzduxfz5s3DnDlzsHjxYqPnp1Q8p4/IxLKysvDdd99h165d2LFjB0aMGAFvb29YWlrqXI0LANnZ2fDw8ICHhwfy8/ORk5Ojc7SvaP5hR44cQbdu3TBy5EhMnDixLFIiIpkwVJ/q1KkDALC1tUVgYCACAwMxadIkDB8+HHFxcRg2bJj0fCsrKwwePBhxcXHYvXs3fv31V4P7cXR0xKuvvork5GSEh4cjOTkZffv2hYODg97aWrVqAXjwtnB2djamTJmC/v37Gz95BeKRPiITSk5Ohp+fH2bNmoXt27dj1qxZ8PPzw6JFi9CiRQts2rRJWltYWIhNmzbB398fLVq0gFqt1pk/duwYzpw5A39/f2ns8OHD6Nq1K4YOHYqPP/64THMjIvP2uPr06NG8IvXr18ft27f1xsPDw5GWlobevXvDxcXlsfuLiIjA9u3bsXbtWuzcuVO6gKM4hYWFxZ5XSKXDI31EJpKVlYXhw4ejsLBQGisoKADwoPjNmjUL48ePR8uWLdG6dWvMmTMHt2/fRlhYGJycnBAREYGYmBi4urrC0dERY8aMgb+/P9q2bQvgwVu6L774IoKDgxETEyOd62dpaYlq1aqVfcJEZDaKq0/h4eH49ttvERUVhcaNG6Ny5crYu3cvZsyYgd69e+ttq169erhy5Qrs7OyK3WenTp3g6+uLIUOGwM/PD+3atdOZT0hIgJeXl3Rhx9atW/HZZ59h7Nixz5ou/X9s+ohMJCkpCSqVyuCcSqWCRqPBZ599hsmTJ0Oj0aBp06ZYv369dHHH7NmzYWFhgdDQUOTl5SE4OBhff/21tI0VK1bg8uXL+Omnn/DTTz9J497e3jh9+rRJcyMi8/ak+gQ8qEEnTpyAVquFp6cnRowYgQkTJhh8TpUqVZ64T5VKhfDwcEyYMAGxsbF684WFhYiNjcWpU6dgZWWF2rVr49NPP8Ubb7xRisyoOGz6iEzk9OnTEEIYnBNC4PTp04iPj3/sPfVsbW2RkJCAhIQEg/NTpkzBlClTjBUuESlIcfUJeHCPvOIuoHjSL5Y5OTkGx2NjYw02fAAwZswYjBkzptjt0rPhOX1EJlL0MUWGqFQq+Pj4lG1ARET/H+uTMrHpIzKR8PDwYo/0leQkZiIiU2B9UiY2fUQmUqdOHSQmJsLCwgKWlpY6fyYmJsLX17e8QyQihWJ9UqZybfq2bt2KXr16oUaNGlCpVFi5cqU0p9VqMX78eDRq1Aj29vaoUaMGhgwZggsXLuhso+gQ9cNf06dP11lz8OBBdOzYEba2tvD09MSMGTPKIj0iDBs2DMeOHUNMTAzat2+PmJgYHDt2TOc+V1QxsT6R3LE+KU+5Xshx+/ZtNGnSBOHh4ejTp4/O3J07d7Bv3z5MmjQJTZo0wfXr1/HWW2/hpZdewt69e3XWfvjhhxgxYoT0uHLlytLfc3NzERQUhICAAMybNw9///03wsPD4ezszI+rojLh6+uLjz/+GOvWrUPPnj2hVqvLOyQqAdYnUgLWJ2Up16avR48e6NGjh8E5JycnpKam6ox99dVXaN26Nc6cOQMvLy9pvHLlynqfUlBk4cKFyM/PR1JSEqytrdGgQQNkZmZi1qxZLKpE9FisT0QkN2Z1y5YbN25ApVLpfQj99OnTMW3aNHh5eWHAgAGIjo6GldWD1NLT09GpUydYW1tL64ODg/Hpp5/i+vXrBu8enpeXp3MH8NzcXAAP3tLRarUmyMw0imI1p5gNkUMecsgBkEceD+dgzDxYn0pHDq8lQB55yCEHQB55mKo+FTGbpu/evXsYP348+vfvD0dHR2l87NixaN68OVxdXbFz507Exsbi4sWLmDVrFgBAo9FIn+NXpOjmtxqNxmBRjY+Px9SpU/XGN2zY8MQ7jldEjx6RMFdyyEMOOQDyyCM1NRV37twxyrZYn56eHF5LgDzykEMOgDzyMGZ9ephZNH1arRZ9+/aFEALffPONzlxMTIz098aNG8Pa2hpvvPEG4uPjYWNj81T7i42N1dlubm4uPD09ERQUpFPQKzqtVovU1FQEBgaa9XkacshDDjkA8sjj4Rzu3r1rlO2xPpWeHF5LgDzykEMOgDzyMHZ9elSFb/qKCup///2HP//884lFrU2bNrh//z5Onz6NunXrwsPDA9nZ2Tprih4/7jwbGxsbgwVZrVab5QvJXON+lBzykEMOgDzyUKvVuH///jNtg/Xp2Zlr3I+SQx5yyAGQRx7GqE+GVOj79BUV1KysLGzcuLFEn+2XmZkJCwsLuLm5AQD8/f2xdetWnffGU1NTUbduXYNvnRARlQTrExGZm3I90nfr1i0cP35cenzq1ClkZmbC1dUV1atXx6uvvop9+/Zh7dq1KCgogEajAQC4urrC2toa6enp2L17N7p27YrKlSsjPT0d0dHRGDRokFQwBwwYgKlTpyIiIgLjx4/HoUOHMHfuXMyePbtcciYi88D6RERyU65N3969e9G1a1fpcdF5KkOHDsWUKVOwevVqAEDTpk11nrd582Z06dIFNjY2WLJkCaZMmYK8vDzUqlUL0dHROue7ODk5YcOGDYiKikKLFi1QtWpVTJ48mbdDIKJisT4RkdyUa9PXpUuXx372H4Bi5wCgefPm2LVr1xP307hxY2zbtq3U8RGRcrE+EZHcVOhz+oiIiIjIONj0ERERESlAid7effgclJKaOHEiXF1dS/08IiIiIjK+EjV9c+bMgb+/v85HBRVn+/btGD16NJs+IiIiogqixBdy/Prrr9K9pZ6kcuXKTx0QERERERlfic7pS05OhpOTU4k3+u2330qfH0lERERE5a9ER/qGDh1aqo0OGDDgqYIhIiIiItN4pvv03bp1C4WFhTpj5vSB30RERERKUepbtpw6dQohISGwt7eHk5MTXFxc4OLiAmdnZ35WJBEREVEFVeojfYMGDYIQAklJSXB3d4dKpTJFXERERERkRKVu+g4cOICMjAzUrVvXFPEQERERkQmU+u3dVq1a4ezZs6aIhYiIiIhMpNRH+r7//nuMGjUK58+fR8OGDaFWq3XmGzdubLTgiIiIiMg4St30Xb58GSdOnEBYWJg0plKpIISASqVCQUGBUQMkIiIiomdX6qYvPDwczZo1w+LFi3khBxEREZGZKHXT999//2H16tXw9fU1RTxEREREZAKlvpDjxRdfxIEDB0wRCxERERGZSKmP9PXq1QvR0dH4+++/0ahRI70LOV566SWjBUdERERExlHqpm/UqFEAgA8//FBvjhdyEBEREVVMpW76Hv2sXSIiIiKq+Ep9Th8RERERmZ8SNX1ffPEF7t27V+KNzps3Dzdv3nzqoIiIiIjIuErU9EVHR5eqiXvvvfdw+fLlpw6KiIiIiIyrROf0CSHQrVs3WFmV7BTAu3fvPlNQRERERGRcJeri4uLiSrXR3r17w9XV9akCIiIiIiLjM0nTR0REREQVC6/eJSIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKcBTN335+fk4duwY7t+/b8x4iIiIiMgESt303blzBxEREbCzs0ODBg1w5swZAMCYMWMwffp0owdIRERERM+u1E1fbGwsDhw4gC1btsDW1lYaDwgIwNKlS40aHBEREREZR8k+YuMhK1euxNKlS9G2bVuoVCppvEGDBjhx4oRRgyMiIiIi4yj1kb7Lly/Dzc1Nb/z27ds6TSARERERVRylbvpatmyJ3377TXpc1Oh9//338Pf3N15kRERERGQ0pX5795NPPkGPHj1w5MgR3L9/H3PnzsWRI0ewc+dOpKWlmSJGIiIiInpGpT7S16FDB2RmZuL+/fto1KgRNmzYADc3N6Snp6NFixamiJGIiIiInlGpj/QBQO3atfHdd98ZOxYiIiIiMpFSH+mztLTEpUuX9MavXr0KS0tLowRFRERERMZV6qZPCGFwPC8vD9bW1s8cEBEREREZX4nf3v3iiy8APLha9/vvv4eDg4M0V1BQgK1bt8LPz8/4ERIRERHRMytx0zd79mwAD470zZs3T+etXGtra/j4+GDevHnGj5CIiIiInlmJm75Tp04BALp27YpffvkFLi4uJguKiIiIiIyr1Ffvbt682RRxEBEREZEJPdUtW86dO4fVq1fjzJkzyM/P15mbNWuWUQIjIiIiIuMpddO3adMmvPTSS3j++efxzz//oGHDhjh9+jSEEGjevLkpYiQiIiKiZ1TqW7bExsbinXfewd9//w1bW1v8/PPPOHv2LDp37ozXXnvNFDESERER0TMqddN39OhRDBkyBABgZWWFu3fvwsHBAR9++CE+/fRTowdIRERERM+u1E2fvb29dB5f9erVceLECWnuypUrxouMiIiIiIym1Of0tW3bFtu3b0e9evXQs2dPvP322/j777/xyy+/oG3btqaIkYiIiIieUamP9M2aNQtt2rQBAEydOhXdunXD0qVL4ePjg8TExFJta+vWrejVqxdq1KgBlUqFlStX6swLITB58mRUr14dlSpVQkBAALKysnTWXLt2DQMHDoSjoyOcnZ0RERGBW7du6aw5ePAgOnbsCFtbW3h6emLGjBmlTZuIFIb1iYjkptRN3/PPP4/GjRsDePBW77x583Dw4EH8/PPP8Pb2LtW2bt++jSZNmiAhIcHg/IwZM/DFF19g3rx52L17N+zt7REcHIx79+5JawYOHIjDhw8jNTUVa9euxdatWzFy5EhpPjc3F0FBQfD29kZGRgZmzpyJKVOmYP78+aVNnYgUhPWJiGRHPKW8vDxx9uxZ8d9//+l8PS0A4tdff5UeFxYWCg8PDzFz5kxpLCcnR9jY2IjFixcLIYQ4cuSIACD++usvac3vv/8uVCqVOH/+vBBCiK+//lq4uLiIvLw8ac348eNF3bp1SxzbjRs3BABx48aNp02vXOTn54uVK1eK/Pz88g7lmcghDznkIIQ88ng4h5L+22Z9Mj45vJaEkEcecshBCHnk8TT1qTRKfU7fv//+i4iICOzcufPR5hEqlQoFBQXP3IgCDz72TaPRICAgQBpzcnJCmzZtkJ6ejn79+iE9PR3Ozs5o2bKltCYgIAAWFhbYvXs3XnnlFaSnp6NTp06wtraW1gQHB+PTTz/F9evXDX6cXF5eHvLy8qTHubm5AACtVgutVmuU/MpCUazmFLMhcshDDjkA8sjj4RyeNg/Wp2cnh9cSII885JADII88jFGfilPqpi8sLAxWVlZYu3YtqlevDpVKZfSgAECj0QAA3N3ddcbd3d2lOY1GAzc3N515KysruLq66qypVauW3jaK5gwV1fj4eEydOlVvfMOGDbCzs3vKjMpPampqeYdgFHLIQw45APLIIzU1FXfu3Hmq57I+GY8cXkuAPPKQQw6APPJ4lvpUnFI3fZmZmcjIyICfn5/Rg6koYmNjERMTIz3Ozc2Fp6cngoKC4OjoWI6RlY5Wq0VqaioCAwOhVqvLO5ynJoc85JADII88Hs7h7t275R1OqbE+VSxyyEMOOQDyyMPU9anUTV/9+vXL5H58Hh4eAIDs7GxUr15dGs/OzkbTpk2lNZcuXdJ53v3793Ht2jXp+R4eHsjOztZZU/S4aM2jbGxsYGNjozeuVqvN8oVkrnE/Sg55yCEHQB55qNVq3L9//6mey/pkPOYa96PkkIcccgDkkcez1KfilPrq3U8//RTvvfcetmzZgqtXryI3N1fny1hq1aoFDw8PbNq0SRrLzc3F7t274e/vDwDw9/dHTk4OMjIypDV//vknCgsLpdvK+Pv7Y+vWrTrvjaempqJu3boG3zohInoS1iciMkelbvoCAgKwa9cudOvWDW5ubnBxcYGLiwucnZ1LXaRu3bqFzMxMZGZmAnhwcnRmZibOnDkDlUqFcePG4aOPPsLq1avx999/Y8iQIahRowZefvllAEC9evXQvXt3jBgxAnv27MGOHTswevRo9OvXDzVq1AAADBgwANbW1oiIiMDhw4exdOlSzJ07V+ftESKiR7E+EZHclPrt3c2bNxtt53v37kXXrl2lx0WFbujQoUhJScF7772H27dvY+TIkcjJyUGHDh2wfv162NraSs9ZuHAhRo8ejW7dusHCwgKhoaH44osvpHknJyds2LABUVFRaNGiBapWrYrJkyfr3CuLiOhRrE9EJDtGu/mLjPE+WOXLnPP46quvhLe3t7CxsRF16tQRO3bskObu3r0r3nzzTeHq6irs7e1Fnz59hEajkeavXLkigoODRfXq1YW1tbWoWbOmiIqKKtfXoTn/LIqY+j5YZc1cc5DDa0kI883j0qVLYtSoUcLT01NYW1sLZ2dnERgYKLZv3y6EEMLb21sAkO47+bD69esLACI5OVnk5eWJKlWqiPj4eIP7+fDDD4Wbm5ve92f79u3C0tJSNGnSxGg5mevP4mGmrk8lenv34MGDKCwslP5e3BcRPbB06VLExMQgLi4Ou3fvho+PD0JCQqST+6Ojo7FmzRosX74caWlpuHDhAvr06SM938LCAr1798bq1avx77//IiUlBRs3bsSoUaPKKyUikonQ0FDs378fCxYswOHDhzFhwgR06tQJV69eldZ4enoiOTlZ53m7du2CRqOBvb09AMDa2hqDBg3SWwc8uH9vSkoKhgwZonNhRU5ODoYMGYJu3bqZKDt6nBK9vdu0aVPpnlNNmzaFSqWCEEJvnTFvzkxk7mbNmoURI0YgLCwMWq0WkZGROHz4MJKSkhAZGYnExEQsWrQIL774IgAgOTkZ9erVw65du9C2bVu4uLggMjJS2p63tzfefPNNzJw5s7xSIiIZyMnJwbZt27BlyxZ07twZWq0WL7zwAnr27KnTnA0cOBCzZ8/G2bNn4enpCQBISkrCwIED8cMPP0jrIiIiMHfuXGzfvh0dOnSQxtPS0nDy5ElERETo7H/UqFEYMGAALC0t9T7TmkyrREf6Tp06hWrVqkl/P3nyJE6dOqX3dfLkSZMGS2Qu8vPzkZGRofOJDRYWFnjxxReRnp6OjIwMaLVanXk/Pz94eXkhPT3d4DYvXLiAX375BZ07dzZ5/EQkXw4ODnBwcMDKlSt1Pt3lUe7u7ggODsaCBQsAAHfu3MHSpUsRHh6us65Ro0Zo1aoVkpKSdMaTk5PRrl07nfv6Jicn4+TJk4iLizNiRlRSJWr6vL29pU/e8Pb2LvaLiIArV66goKBA7xMb3NzcoNFooNFoYG1tDWdnZ535hz/RoUj//v1hZ2eH5557Do6Ojvj+++9NHT4RyZiVlRVSUlKwYMECODs7o3Pnzvjxxx8NnqIVHh6OlJQUCCGwYsUK1K5dW7oX5cMiIiKwfPly3Lp1CwBw8+ZNrFixQqdBzMrKwvvvv4+ffvoJVlalvo6UjKBE3/XVq1eXeIMvvfTSUwdDRPpmz56NuLg4/Pvvv9KnMXz99dflHRYRmbHQ0FCEhIRg27Zt2LFjB5YsWYI2bdrg+++/x7Bhw6R1ISEheOONN7B161YkJSXpHeUr0r9/f0RHR2PZsmUIDw/H0qVLYWFhgddffx0AUFBQgAEDBmDq1Kl44YUXyiJFMqBETV/RfaeKPHpO38Ofv8tz+oiAqlWrwtLSUu/TFi5dugQPDw94eHggPz8fOTk5Okf7srOz9T6JoWi9n58fXF1d0bFjR0yaNEnnkyCIiErL1tYWgYGB6NKlC5o1a4ZVq1YhLi5Op+mzsrLC4MGDpQvSfv31V4PbcnR0xKuvvork5GSEh4cjOTkZffv2hYODA4AHR/727t2L/fv3Y/To0QCAwsJCCCFgZWWFDRs2SOc3k+mU6O3dwsJC6WvDhg1o2rQpfv/9d+Tk5CAnJwfr1q1D8+bNsX79elPHS1QhZWVlITY2Fv3790dsbCz+++8/tGjRQucTGwoLC7F582b4+/ujRYsWUKvVOvPHjh3DmTNnpE90MKToKvrizsMhInrYo/UpKyvL4Lp69erh9u3beuPh4eFIS0tD7969i/0QhoiICGzfvh1r167Fzp07dS7gcHR0xN9//y3d8DwzMxOjRo1C3bp1kZmZKX1KDZlWqd9UHzduHObNm6dzhU5wcDDs7OwwcuRIHD161KgBElV0ycnJGD58uHQEXKVSYcaMGRg5ciS+++47tGzZEs2aNcO8efNw+/ZthIWFwcnJCREREYiJiYGrqyscHR0xZswY+Pv7o23btgCAdevWITs7G61atYKDgwMOHz6Md999F+3bt4ePj0/5Jk1EZsFQffr0009Rt25dfPDBB2jcuDFsbW2xY8cO/PDDD+jdu7feNurVq4crV67Azs6u2H116tQJvr6+GDJkCPz8/NCuXTtpzsLCAg0bNtRZ7+bmBltbW71xMp1SN30nTpzQO/kceHBn+dOnTxshJCLzkZWVheHDh0tH4B42f/58TJw4EZMnT4ZGo4G3tzfWrl0rXdwxe/Zs6VMa8vLyEBwcrHOuXqVKlfDdd98hOjoaeXl58PT0RJ8+ffD++++XWX5EZL6Kq0///PMPpk+fjnPnzkGr1cLFxQXh4eGYNGmSwW1VqVLliftTqVQIDw/HhAkTEBsb+8zxk/GVuulr1aoVYmJi8OOPP0r/eWVnZ+Pdd99F69atjR4gUUWWlJSkc07rw1QqFfLz8/Hff/9Bq9Vi3bp1Ov9GbG1tkZCQgISEBIPP79q1K3bu3GmSuIlI/oqrT5aWlujVqxfi4+Ol+vTwffqedBAnJyfH4HhsbGyJG74pU6ZgypQpJVpLxlGic/oelpiYiIsXL8LLywu+vr7w9fWFl5cXzp8/j8TERFPESFRhnT592uCNyoEHd6Pn0W8iKi+sT/SoUh/pq1OnDg4ePIjU1FT8888/AB683x8QEPDY3yiI5MrHx6fYI308946IygvrEz2qVEf6tFotrKyscPjwYQQFBWHs2LEYO3YsAgMD2fCRIoWHhxf7m/SjHz9ERFRWWJ/oUaVq+tRqNby8vHgvPqL/r06dOkhMTISFhQUsLS11/kxMTISvr295h0hECsX6RI8q9du7H3zwASZMmIAff/wRrq6upoiJyKwMGzYMHTp0QGJiIk6fPg0fHx9ERESwoBJRuWN9ooeVuun76quvcPz4cdSoUQPe3t6wt7fXmd+3b5/RgiMyF76+voiPjy/vMIiI9LA+UZFSN32PfiQbEREREVV8pW764uLiTBEHEREREZlQqZu+IhkZGdJHrjVo0ADNmjUzWlBEREREZFylbvouXbqEfv36YcuWLdLHseXk5KBr165YsmQJqlWrZuwYiYiIiOgZlfoTOcaMGYObN2/i8OHDuHbtGq5du4ZDhw4hNzcXY8eONUWMRERERPSMSn2kb/369di4cSPq1asnjdWvXx8JCQkICgoyanBEREREZBylPtJXWFgofSDzw9RqNQoLC40SFBEREREZV6mbvhdffBFvvfUWLly4II2dP38e0dHR6Natm1GDIyIiIiLjKHXT99VXXyE3Nxc+Pj6oXbs2ateujVq1aiE3NxdffvmlKWIkIiIiomdU6nP6PD09sW/fPmzcuBH//PMPAKBevXoICAgwenBEREREZBxPdZ8+lUqFwMBABAYGGjseIiIiIjKBUr+9CwBpaWno1asXfH194evri5deegnbtm0zdmxEREREZCSlbvp++uknBAQEwM7ODmPHjsXYsWNha2uLbt26YdGiRaaIkYiIiIieUanf3v34448xY8YMREdHS2Njx47FrFmzMG3aNAwYMMCoARIRERHRsyv1kb6TJ0+iV69eeuMvvfQSTp06ZZSgiIiIiMi4St30eXp6YtOmTXrjGzduhKenp1GCIiIiIiLjKvXbu2+//TbGjh2LzMxMtGvXDgCwY8cOpKSkYO7cuUYPkIiIiIieXambvsjISHh4eODzzz/HsmXLADy4T9/SpUvRu3dvowdIRERERM/uqe7T98orr+CVV14xdixEREREZCKlPqfvr7/+wu7du/XGd+/ejb179xolKCIiIiIyrlI3fVFRUTh79qze+Pnz5xEVFWWUoIiIiIjIuErd9B05cgTNmzfXG2/WrBmOHDlilKCIiIiIyLhK3fTZ2NggOztbb/zixYuwsnqqUwSJiIiIyMRK3fQFBQUhNjYWN27ckMZycnIwYcIEBAYGGjU4IiIiIjKOUh+a++yzz9CpUyd4e3ujWbNmAIDMzEy4u7vjxx9/NHqARERERPTsSt30Pffcczh48CAWLlyIAwcOoFKlSggLC0P//v2hVqtNESMRERERPaOnOgnP3t4eI0eONHYsRERERGQipT6nj4iIiIjMD5s+IiIiIgVg00dERESkAGz6iIiIiBSg1E3f0KFDsXXrVlPEQkREREQmUuqm78aNGwgICECdOnXwySef4Pz586aIi4iIiIiMqNRN38qVK3H+/HlERkZi6dKl8PHxQY8ePbBixQpotVpTxEhEREREz+ipzumrVq0aYmJicODAAezevRu+vr4YPHgwatSogejoaGRlZRk7TiIiIiJ6Bs90IcfFixeRmpqK1NRUWFpaomfPnvj7779Rv359zJ492ygB+vj4QKVS6X1FRUUBALp06aI3N2rUKJ1tnDlzBiEhIbCzs4Obmxveffdd3L9/3yjxEZEysTYRkbkp9SdyaLVarF69GsnJydiwYQMaN26McePGYcCAAXB0dAQA/PrrrwgPD0d0dPQzB/jXX3+hoKBAenzo0CEEBgbitddek8ZGjBiBDz/8UHpsZ2cn/b2goAAhISHw8PDAzp07cfHiRQwZMgRqtRqffPLJM8dHRMrE2kRE5qbUTV/16tVRWFiI/v37Y8+ePWjatKnemq5du8LZ2dkI4T14K/lh06dPR+3atdG5c2dpzM7ODh4eHgafv2HDBhw5cgQbN26Eu7s7mjZtimnTpmH8+PGYMmUKrK2tjRInESkLaxMRmZtSN32zZ8/Ga6+9Bltb28eucXZ2xqlTp54pMEPy8/Px008/ISYmBiqVShpfuHAhfvrpJ3h4eKBXr16YNGmS9Bt1eno6GjVqBHd3d2l9cHAwIiMjcfjwYTRr1kxvP3l5ecjLy5Me5+bmAnhwlNOcLlYpitWcYjZEDnnIIQdAHnk8nIOx8iir2gSwPlU0cshDDjkA8sjDFPXpYaVu+gYPHmz0IEpq5cqVyMnJwbBhw6SxAQMGwNvbGzVq1MDBgwcxfvx4HDt2DL/88gsAQKPR6BRVANJjjUZjcD/x8fGYOnWq3viGDRt03p4xF6mpqeUdglHIIQ855ADII4/U1FTcuXPHKNsqq9oEsD5VVHLIQw45APLIw5j16WGlbvrKU2JiInr06IEaNWpIYyNHjpT+3qhRI1SvXh3dunXDiRMnULt27afaT2xsLGJiYqTHubm58PT0RFBQkHTeojnQarVITU1FYGAg1Gp1eYfz1OSQhxxyAOSRx8M53L171yjbLKvaBLA+VTRyyEMOOQDyyMMU9elhZtP0/ffff9i4caP0W/LjtGnTBgBw/Phx1K5dGx4eHtizZ4/OmuzsbAB47Lk2NjY2sLGx0RtXq9Vm+UIy17gfJYc85JADII881Gq1Ua6ULcvaBLA+VVRyyEMOOQDyyMNY9elRZvPZu8nJyXBzc0NISEix6zIzMwE8uOAEAPz9/fH333/j0qVL0prU1FQ4Ojqifv36JouXiJSBtYmIzIVZHOkrLCxEcnIyhg4dCiur/wv5xIkTWLRoEXr27IkqVarg4MGDiI6ORqdOndC4cWMAQFBQEOrXr4/BgwdjxowZ0Gg0mDhxIqKiogz+tkxEVFKsTURkTsyi6du4cSPOnDmD8PBwnXFra2ts3LgRc+bMwe3bt+Hp6YnQ0FBMnDhRWmNpaYm1a9ciMjIS/v7+sLe3x9ChQ3XunUVE9DRYm4jInJhF0xcUFAQhhN64p6cn0tLSnvh8b29vrFu3zhShEZGCsTYRkTkxm3P6iIiIiOjpsekjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNH9EzSkhIgI+PD2xtbdGmTRvs2bNHmrt37x6ioqLg4eGBfv36oW/fvsjOzja4natXr6JmzZpQqVTIyckpo+iJSI4uX76MyMhIeHl5wcbGBh4eHggODsaOHTsAAD4+PlCpVFiyZInecxs0aACVSoWUlBTk5+ejatWqmD59usH9TJs2De7u7tBqtdiyZQtUKpXel0ajMWmuVHJs+oiewdKlSxETE4O4uDjs27cPTZo0QXBwMC5dugQAiI6Oxpo1a7B48WJ89NFHuHjxIvr06WNwWxEREWjcuHFZhk9EMhUaGor9+/djwYIF+Pfff7F69Wp06dIFV69eldZ4enoiOTlZ53m7du2CRqOBvb09AMDa2hqDBg3SWwcAQgikpKRgyJAhUKvV0vixY8dw8eJF6cvNzc1EWVJpsekjegazZs3CiBEjEBYWhvr162PevHmws7NDUlISbty4gcTERMyaNQtdu3aFr68vvvvuO+zcuRO7du3S2c4333yDnJwcvPPOO+WUCRHJRU5ODrZt24ZPP/0UXbt2hbe3N1q3bo3Y2Fi89NJL0rqBAwciLS0NZ8+elcaSkpIwcOBAWFlZSWMRERH4999/sX37dp39pKWl4eTJk4iIiNAZd3Nzg4eHh/RlYcFWo6LgT4LoKeXn5yMjIwMBAQHSmIWFBQICApCeno6MjAxotVqdeT8/P3h5eSE9PV0aO3LkCD788EP88MMPLI5E9MwcHBzg4OCAlStXIi8v77Hr3N3dERwcjB9//BEAcOfOHSxduhTh4eE66xo1aoRWrVohKSlJZzw5ORnt2rWDn5+fznjTpk1RvXp1BAYGSm8nU8XA/2GIntKVK1dQUFAAd3d3nXF3d3doNBpoNBpYW1vD2dnZ4DwA5OXloX///pg5cya8vLzKKnQikjErKyukpKRgwYIFcHZ2Rvv27TFhwgQcPHhQb214eDh+/PFHCCHw888/o3bt2mjatKneuoiICCxfvhy3bt0CANy8eRMrVqzQaRCrV6+OefPm4eeff8bPP/8MT09PdOnSBfv27TNZrlQ6bPqIylFsbCzq1auHQYMGlXcoRCQjoaGhuHDhAlavXo3u3btjy5YtaN68OVJSUnTWhYSE4NatWzh8+DAWLFigd5SvSP/+/VFQUIBly5YBeHA+s4WFBV5//XVpTd26dfHGG2+gRYsWaNeuHZKSktCuXTvMnj3bZHlS6bDpIyqBrKwsxMbGon///oiNjUVWVhaqVq0KS0tLvatxs7OzpXNZ8vPz9a7ELZoHgD///BPLly+HlZUVrKys0K1bNwBA1apVERcXVya5EZF5M1SfAMDW1haBgYGYNGkSdu7ciWHDhunVFSsrKwwcOBCLFy/Gnj17MHDgQIP7cHR0xKuvvipd0JGcnIy+ffvCwcGh2Nhat26N48ePGyFLMgarJy8hUrbk5GQMHz4cKpUKQgioVCrMmDEDiYmJaNGiBTZt2oSXX34ZAFBYWIhNmzZh9OjRaNGiBdRqNTZt2iSdPH3s2DGcOXMG/v7+AICff/4Zd+/elfb1119/ITw8HNu2bUPt2rXLPFciMi/F1adhw4bprK1fvz5Wrlypt42hQ4di1qxZeO211+Di4vLYfUVERKBLly5Yu3Ytdu7ciZkzZz4xvszMTFSvXr20aZGJsOkjKkZWVhaGDx+OwsJCvbmIiAjMmjUL48ePR8uWLdG6dWvMmTMHt2/fRlhYGJycnBAREYGYmBg4Ojri+PHjmD59Ovz9/dG2bVsA0Gvsrly5AgCoV6+e3rmAREQPK64+hYWF4erVqwgMDETlypWxd+9ezJgxA71799ZbW69ePfzwww8G5x7WqVMn+Pr6YsiQIfDz80O7du105ufMmYNatWqhQYMGuHfvHr7//nv8+eef2LBhw7MlSkbDpo+oGElJSVCpVAbnim46+tlnn2Hy5MnQaDRo2rQp1q9fL13cMXv2bOm8lzt37qB79+6YN29eWaZARDL1pPo0c+ZMTJs2DVqtFp6enhgxYgQmTJhgcL2joyMqVapU7P5UKhXCw8MxYcIExMbG6s3n5+fj7bffxvnz52FnZ4fGjRtj48aN6Nq1a+mTI5Ng00dUjNOnT0MIYXBOCIHTp08jPj4eo0ePNrjG1tYWCQkJmDNnDtatW4eePXvq3MT0UV26dHns/oiIHlZcfVKpVOjatSsWL1782OcW53GfChQbG2uw4QOA9957D++9916x26XyxQs5iIpR9FFFhqhUKvj4+JRtQERE/x/rE5UWmz6iYoSHhxd7pO/RO9ETEZUV1icqLTZ9RMWoU6cOEhMTYWFhAUtLS50/ExMT4evrW94hEpFCsT5RafGcPqInGDZsGDp06IDExEScPn0aPj4+iIiIYEElonLH+kSlwaaPqAR8fX0RHx9f3mEQEelhfaKS4tu7RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpQIVu+qZMmQKVSqXz5efnJ83fu3cPUVFRqFKlChwcHBAaGors7GydbZw5cwYhISGws7ODm5sb3n33Xdy/f7+sUyEimWF9IiJzY1XeATxJgwYNsHHjRumxldX/hRwdHY3ffvsNy5cvh5OTE0aPHo0+ffpgx44dAICCggKEhITAw8MDO3fuxMWLFzFkyBCo1Wp88sknZZ4LEckL6xMRmZMK3/RZWVnBw8NDb/zGjRtITEzEokWL8OKLLwIAkpOTUa9ePezatQtt27bFhg0bcOTIEWzcuBHu7u5o2rQppk2bhvHjx2PKlCmwtrY2uM+8vDzk5eVJj3NzcwEAWq0WWq3WBFmaRlGs5hSzIXLIQw45APLI4+EcnjUP1qenJ4fXEiCPPOSQAyCPPIxZnwyp8E1fVlYWatSoAVtbW/j7+yM+Ph5eXl7IyMiAVqtFQECAtNbPzw9eXl5IT09H27ZtkZ6ejkaNGsHd3V1aExwcjMjISBw+fBjNmjUzuM/4+HhMnTpVb3zDhg2ws7MzfpImlpqaWt4hGIUc8pBDDoA88khNTcWdO3eeaRusT89ODq8lQB55yCEHQB55GKM+GVKhm742bdogJSUFdevWxcWLFzF16lR07NgRhw4dgkajgbW1NZydnXWe4+7uDo1GAwDQaDQ6BbVovmjucWJjYxETEyM9zs3NhaenJ4KCguDo6Gik7ExPq9UiNTUVgYGBUKvV5R3OU5NDHnLIAZBHHg/ncPfu3afeDuvTs5HDawmQRx5yyAGQRx7Gqk+PU6Gbvh49ekh/b9y4Mdq0aQNvb28sW7YMlSpVMtl+bWxsYGNjozeuVqvN8oVkrnE/Sg55yCEHQB55qNXqZ7pogvXJOMw17kfJIQ855ADII49nrU+PU6Gv3n2Us7MzXnjhBRw/fhweHh7Iz89HTk6Ozprs7GzpHBsPDw+9q+WKHhs6D4eI6GmxPhFRRWdWTd+tW7dw4sQJVK9eHS1atIBarcamTZuk+WPHjuHMmTPw9/cHAPj7++Pvv//GpUuXpDWpqalwdHRE/fr1yzx+IpIv1iciqugq9Nu777zzDnr16gVvb29cuHABcXFxsLS0RP/+/eHk5ISIiAjExMTA1dUVjo6OGDNmDPz9/dG2bVsAQFBQEOrXr4/BgwdjxowZ0Gg0mDhxIqKiogy+PUJEVFKsT0Rkbip003fu3Dn0798fV69eRbVq1dChQwfs2rUL1apVAwDMnj0bFhYWCA0NRV5eHoKDg/H1119Lz7e0tMTatWsRGRkJf39/2NvbY+jQofjwww/LKyUikgnWJyIyNxW66VuyZEmx87a2tkhISEBCQsJj13h7e2PdunXGDo2IFI71iYjMjVmd00dERERET4dNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPzFJCQgJ8fHxga2uLNm3aYM+ePdLcvXv3EBUVhSpVqsDBwQGhoaHIzs7Web5KpdL7WrJkSVmnQUQyc/nyZURGRsLLyws2Njbw8PBAcHAwduzYAQDw8fF5bL1p0KABVCoVUlJSkJ+fj6pVq2L69OkG9zNt2jS4u7tDq9UCAPLy8vDBBx/A29sbNjY28PHxQVJSkukSJbPEpo/MztKlSxETE4O4uDjs27cPTZo0QXBwMC5dugQAiI6Oxpo1a7B8+XKkpaXhwoUL6NOnj952kpOTcfHiRenr5ZdfLuNMiEhuQkNDsX//fixYsAD//vsvVq9ejS5duuDq1avSGk9PTyQnJ+s8b9euXdBoNLC3twcAWFtbY9CgQXrrAEAIgZSUFAwZMgRqtRoA0LdvX2zatAmJiYk4duwYFi9ejLp165owUzJHVuUdAFFpzZo1CyNGjEBYWBgAYN68efjtt9+QlJSEyMhIJCYmYtGiRXjxxRcBPGju6tWrh127dqFt27bSdpydneHh4VEuORCR/OTk5GDbtm3YsmULOnfuDADw9vZG69atddYNHDgQs2fPxtmzZ+Hp6QkASEpKwsCBA/HDDz9I6yIiIjB37lxs374dHTp0kMbT0tJw8uRJREREAADWr18vjbm6ugJ4cESR6FE80kdmJT8/HxkZGQgICJDGLCwsEBAQgPT0dGRkZECr1erM+/n5wcvLC+np6TrbioqKQtWqVdG6dWskJSVBCFFmeRCR/Dg4OMDBwQErV65EXl7eY9e5u7sjODgYCxYsAADcuXMHS5cuRXh4uM66Ro0aoVWrVnpv0yYnJ6Ndu3bw8/MDAKxevRotW7bEjBkz8Nxzz+GFF17AO++8g7t37xo5QzJ3bPrIrFy5cgUFBQVwd3fXGXd3d4dGo4FGo4G1tTWcnZ0Nzhf58MMPsWzZMqSmpiI0NBRvvvkmvvzyy7JIgYhkysrKCikpKViwYAGcnZ3Rvn17TJgwAQcPHtRbGx4ejpSUFAghsGLFCtSuXRtNmzbVWxcREYHly5fj1q1bAICbN29ixYoVOg3iyZMnsX37dhw6dAi//vor5syZgxUrVuDNN980Wa5kntj0kSJNmjQJ7du3R7NmzTB+/Hi89957mDlzZnmHRURmLjQ0FBcuXMDq1avRvXt3bNmyBc2bN0dKSorOupCQENy6dQtbt25FUlKS3lG+Iv3790dBQQGWLVsG4ME5zRYWFnj99delNYWFhVCpVFi4cCFat26Nnj17YtasWViwYAGP9pEONn1kVqpWrQpLS0u9q3Gzs7Ph4eEBDw8P5OfnIycnx+D847Rp0wbnzp0r9i0ZIqKSsLW1RWBgICZNmoSdO3di2LBhiIuL01ljZWWFwYMHIy4uDrt378bAgQMNbsvR0RGvvvqqdEFHcnIy+vbtCwcHB2lN9erV8dxzz8HJyUkaq1evHoQQOHfunAkyJHPFpo8qtKysLHzwwQf4/PPP8cEHH+C///5DixYtsGnTJmlNYWEhNm3aBH9/f7Ro0QJqtVpn/tixYzhz5gz8/f0fu5/MzEy4uLjAxsbGpPkQkXw8Wp+ysrIMrqtfvz5u376tNx4eHo60tDT07t0bLi4uj91PREQEtm/fjrVr12Lnzp3SBRxF2rdvjwsXLkhvAQPAv//+CwsLC9SsWfMpsyM54tW7VGElJydj+PDhUKlUKCwsxM6dO/H5559j5MiR+O6779CyZUu0bt0ac+bMwe3btxEWFgYnJydEREQgJiYGrq6ucHR0xJgxY+Dv7y9dubtmzRpkZ2ejbdu2sLW1RWpqKj755BO888475ZwxEZkLQ/Xps88+Q926dfHBBx+gcePGqFy5Mvbu3YsZM2agd+/eetuoV68erly5Ajs7u2L31alTJ/j6+mLIkCHw8/NDu3btdOYHDBiAadOmISwsDFOnTsWVK1fw7rvvIjw8HJUqVTJq3mTe2PRRhZSVlYXhw4ejsLBQGisoKAAAzJ8/HxMnTsTkyZOh0WjQtGlTrF+/Xrq4Y/bs2bCwsEBoaCjy8vIQHByMr7/+WtqOWq1GQkICoqOjIYSAr6+vdBsYIqInKa4+/fPPP5g+fTrOnTsHrVYLT09PjBgxAhMmTDC4rSpVqjxxfyqVCuHh4ZgwYQJiY2P15h0cHJCamooxY8agZcuWqFKlCvr27YuPPvroKTMkuWLTRxVSUlISVCqVwTmVSoX8/Hz8999/BudtbW2RkJCAhIQEg/Pdu3dH9+7djRYrESlLcfXJ0tISvXr1Qnx8vMH506dPF7vtR89HLhIbG2uw4Svi5+eH1NTUYrdNxHP6qEI6ffr0Y++bJ4R4YuEkIjIV1icyV2z6qEIq+nxKQ1QqFe82T0TlhvWJzBWbPqqQwsPDi/1N+tGr14iIygrrE5krNn1UIdWpUweJiYmwsLCApaWlzp+JiYnw9fUt7xCJSKFYn8hc8UIOqrCGDRuGDh06YP78+di1axfatm2LkSNHsqASUbljfSJzxKaPKjRfX198/PHHWLduHXr27Am1Wl3eIRERAWB9IvPDt3eJiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAEqdNMXHx+PVq1aoXLlynBzc8PLL7+MY8eO6azp0qULVCqVzteoUaN01pw5cwYhISGws7ODm5sb3n33Xdy/f78sUyEimWF9IiJzU6Fv2ZKWloaoqCi0atUK9+/fx4QJExAUFIQjR47A3t5eWjdixAh8+OGH0mM7Ozvp7wUFBQgJCYGHhwd27tyJixcvYsiQIVCr1fjkk0/KNB8ikg/WJyIyNxW66Vu/fr3O45SUFLi5uSEjIwOdOnWSxu3s7ODh4WFwGxs2bMCRI0ewceNGuLu7o2nTppg2bRrGjx+PKVOmwNra2qQ5EJE8sT4Rkbmp0E3fo27cuAEAcHV11RlfuHAhfvrpJ3h4eKBXr16YNGmS9Nt0eno6GjVqBHd3d2l9cHAwIiMjcfjwYTRr1kxvP3l5ecjLy5Me5+bmAgC0Wi20Wq3R8zKVoljNKWZD5JCHHHIA5JHHwzkYMw/Wp9KRw2sJkEcecsgBkEcepqpPRcym6SssLMS4cePQvn17NGzYUBofMGAAvL29UaNGDRw8eBDjx4/HsWPH8MsvvwAANBqNTkEFID3WaDQG9xUfH4+pU6fqjW/YsEHnrRlzkZqaWt4hGIUc8pBDDoA88khNTcWdO3eMsi3Wp6cnh9cSII885JADII88jFmfHmY2TV9UVBQOHTqE7du364yPHDlS+nujRo1QvXp1dOvWDSdOnEDt2rWfal+xsbGIiYmRHufm5sLT0xNBQUFwdHR8ugTKgVarRWpqKgIDA83644HkkIcccgDkkcfDOdy9e9co22R9Kj05vJYAeeQhhxwAeeRhivr0MLNo+kaPHo21a9di69atqFmzZrFr27RpAwA4fvw4ateuDQ8PD+zZs0dnTXZ2NgA89jwbGxsb2NjY6I2r1WqzfCGZa9yPkkMecsgBkEcearXaKFfJsj49G3ON+1FyyEMOOQDyyMNY9elRFfqWLUIIjB49Gr/++iv+/PNP1KpV64nPyczMBABUr14dAODv74+///4bly5dktakpqbC0dER9evXN0ncRCR/rE9EZG4q9JG+qKgoLFq0CKtWrULlypWlc1ycnJxQqVIlnDhxAosWLULPnj1RpUoVHDx4ENHR0ejUqRMaN24MAAgKCkL9+vUxePBgzJgxAxqNBhMnTkRUVJTB35aJiEqC9YmIzE2FPtL3zTff4MaNG+jSpQuqV68ufS1duhQAYG1tjY0bNyIoKAh+fn54++23ERoaijVr1kjbsLS0xNq1a2FpaQl/f38MGjQIQ4YM0blvFhFRabE+EZG5qdBH+oQQxc57enoiLS3tidvx9vbGunXrjBUWERHrExGZnQp9pI+IiIiIjINNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAGz6iIiIiBSATR8RERGRArDpIyIiIlIANn1ERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0kSwlJCTAx8cHtra2aNOmDfbs2SPN3bt3D1FRUahSpQocHBwQGhqK7OxsvW2kpKSgcePGsLW1hZubG6KiosoyBSKSocuXLyMyMhJeXl6wsbGBh4cHgoODsWPHDgCAj48PVCoVlixZovfcBg0aQKVSISUlBfn5+ahatSqmT59ucD/Tpk2Du7s7tFothg0bBpVKpffVoEEDk+ZKFQ+bPpKdpUuXIiYmBnFxcdi3bx+aNGmC4OBgXLp0CQAQHR2NNWvWYPny5UhLS8OFCxfQp08fnW3MmjULH3zwAd5//30cPnwYGzduRHBwcHmkQ0QyEhoaiv3792PBggX4999/sXr1anTp0gVXr16V1nh6eiI5OVnnebt27YJGo4G9vT0AwNraGoMGDdJbBwBCCKSkpGDIkCFQq9WYO3cuLl68KH2dPXsWrq6ueO2110ybLFU4VuUdAJGxzZo1CyNGjEBYWBgAYN68efjtt9+QlJSEyMhIJCYmYtGiRXjxxRcBAMnJyahXrx527dqFtm3b4vr165g4cSLWrFmDbt26Sdtt3LhxueRDRPKQk5ODbdu2YcuWLejcuTMAwNvbG61bt9ZZN3DgQMyePRtnz56Fp6cnACApKQkDBw7EDz/8IK2LiIjA3LlzsX37dnTo0EEaT0tLw8mTJxEREQEAcHJygpOTkzS/cuVKXL9+XaqRpBw80keykp+fj4yMDAQEBEhjFhYWCAgIQHp6OjIyMqDVanXm/fz84OXlhfT0dABAamoqCgsLcf78edSrVw81a9ZE3759cfbs2TLPh4jkw8HBAQ4ODli5ciXy8vIeu87d3R3BwcFYsGABAODOnTtYunQpwsPDddY1atQIrVq1QlJSks54cnIy2rVrBz8/P4PbT0xMREBAALy9vZ8xIzI3bPpIVq5cuYKCggK4u7vrjLu7u0Oj0UCj0cDa2hrOzs4G5wHg5MmTKCwsxCeffII5c+ZgxYoVuHbtGgIDA5Gfn19WqRCRzFhZWSElJQULFiyAs7Mz2rdvjwkTJuDgwYN6a8PDw5GSkgIhBFasWIHatWujadOmeusiIiKwfPly3Lp1CwBw8+ZNrFixQq9BLHLhwgX8/vvvGD58uFFzI/PApo/oEYWFhdBqtfjiiy8QHByMtm3bYvHixcjKysLmzZvLOzwiMmOhoaG4cOECVq9eje7du2PLli1o3rw5UlJSdNaFhITg1q1b2Lp1K5KSkh7bxPXv3x8FBQVYtmwZgAfnNFtYWOD11183uL6o4Xz55ZeNmRaZCUU1fcVd0UnmKSsrC7Gxsejfvz9iY2Nx/fp1WFpa6l2Nm52dDQ8PD3h4eCA/Px85OTkG5wGgevXqAID69etL89WqVUPVqlVx5swZ0yZEisX6JD+P1qesrCwAgK2tLQIDAzFp0iTs3LkTw4YNQ1xcnM5zraysMHjwYMTFxWH37t0YOHCgwX04Ojri1VdflS7oSE5ORt++feHg4KC3VgiBpKQkDB48GNbW1kbOlsyBYpq+J13RSeYnOTkZfn5+mDlzJpYtW4aZM2eicePG8Pb2xqZNm6R1hYWF2LRpE/z9/dGiRQuo1Wqd+WPHjuHMmTPw9/cHALRv314aL3Lt2jVcuXKF58CQSbA+yY+h+uTn56d3RA948Avm7du39cbDw8ORlpaG3r17w8XF5bH7ioiIwPbt27F27Vrs3LlTuoDjUWlpaTh+/Phj50n+FHP1bnFXdL7//vvlHB2VVlZWFoYPH47CwkK9uVOnTmH+/Plo2bIlWrdujTlz5uD27dsICwuDk5MTIiIiEBMTA1dXVzg6OmLMmDHw9/dH27ZtAQAvvPACevfujbfeegvz58+Ho6MjYmNj4efnh65du5Z1qqQArE/yUlx9CgsLw9WrVxEYGIjKlStj7969mDFjBnr37q23tl69erhy5Qrs7OyK3V+nTp3g6+uLIUOGwM/PD+3atTO4LjExEW3atEHDhg2fLjEye4po+oqu6IyNjZXGHr6i81F5eXk6V1bl5uYCALRaLbRarekDNpKiWM0pZkMM5fHdd99BpVIZXG9hYYGOHTti8uTJ0Gg0aNKkCdauXQtXV1dotVrMmDEDwINza/Ly8hAYGIgvv/xSZ/uJiYl45513EBISIm1vzZo1enE8Sw7mSA55PJxDRciD9cl8YjaktPVJpVJh5syZmDZtGrRaLWrWrInw8HC8//770jYKCgqkvzs6Oupt/+H5IkOHDsWkSZPw3nvvGfye3rhxAz///DNmzZqlNy/nn4W5MXV9UgkhhNG3WsFcuHABzz33HHbu3Cm9hQcA7733HtLS0rB7926d9VOmTMHUqVP1trNo0aIn/sZFZePzzz/H9u3bYejla2Fhgfbt2+Ptt98uh8jInNy5cwcDBgzAjRs3pP9cyxrrk/ywPpExmKI+KeJIX2nFxsYiJiZGepybmwtPT08EBQWV238MT0Or1SI1NRWBgYFQq9XlHc5TM5THjh07sHPnThQUFOitV6lUaNu2LXr27FnWoT6WnH8W5ubhHO7evVve4ZQa61PFwvpUccghD1PXJ0U0fVWrVi32is5H2djYwMbGRm9crVab5QvJXON+1MN5jBgxAp9//rnBdUIIjBw5skLmLMefhblSq9W4f/9+eYfB+mSmcT+K9anikEMepqpPirh619raGi1atHjsFZ1kfurUqYPExERYWFjA0tJS58/ExET4+vqWd4hEJcL6JD+sT1RRKeJIHwDExMRg6NChBq/oJPM0bNgwdOjQAYmJiTh9+jR8fHwQERHBgkpmh/VJflifqCJSTNP3+uuv4/Lly9IVnU2bNsX69ev1Pq6LzIuvry/i4+PLOwyiZ8L6JE+sT1TRKKbpA4DRo0dj9OjR5R0GEZEe1iciMjVFnNNHREREpHRs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9RERERArApo+IiIhIAdj0ERERESkAmz4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOkjIiIiUgA2fUREREQKwKaPiIiISAHY9BEREREpAJs+IiIiIgVg00dERESkAFblHYA5EEIAAHJzc8s5ktLRarW4c+cOcnNzoVaryzucpyaHPOSQAyCPPB7O4e7duwD+79+4OWJ9Kl9yyEMOOQDyyMPU9YlNXwncvHkTAODp6VnOkRCRKdy8eRNOTk7lHcZTYX0ikjdj1ieVMOdfcctIYWEhLly4gMqVK0OlUpV3OCWWm5sLT09PnD17Fo6OjuUdzlOTQx5yyAGQRx4P51C5cmXcvHkTNWrUgIWFeZ7twvpUvuSQhxxyAOSRh6nrE4/0lYCFhQVq1qxZ3mE8NUdHR7P9B/AwOeQhhxwAeeRRlIO5HuErwvpUMcghDznkAMgjD1PVJ/P81ZaIiIiISoVNHxEREZECsOmTMRsbG8TFxcHGxqa8Q3kmcshDDjkA8shDDjnIgVx+DnLIQw45APLIw9Q58EIOIiIiIgXgkT4iIiIiBWDTR0RERKQAbPqIiIiIFIBNHxEREZECsOmTgdOnTyMiIgK1atVCpUqVULt2bcTFxSE/P19n3cGDB9GxY0fY2trC09MTM2bM0NvW8uXL4efnB1tbWzRq1Ajr1q0rqzQMSkhIgI+PD2xtbdGmTRvs2bOnXON5WHx8PFq1aoXKlSvDzc0NL7/8Mo4dO6az5t69e4iKikKVKlXg4OCA0NBQZGdn66w5c+YMQkJCYGdnBzc3N7z77ru4f/9+WaYimT59OlQqFcaNGyeNmUsO58+fx6BBg1ClShVUqlQJjRo1wt69e6V5IQQmT56M6tWro1KlSggICEBWVpbONq5du4aBAwfC0dERzs7OiIiIwK1bt8o0D7lhfSofrE//pyLkUGHqkyCz9/vvv4thw4aJP/74Q5w4cUKsWrVKuLm5ibfffltac+PGDeHu7i4GDhwoDh06JBYvXiwqVaokvv32W2nNjh07hKWlpZgxY4Y4cuSImDhxolCr1eLvv/8uj7TEkiVLhLW1tUhKShKHDx8WI0aMEM7OziI7O7tc4nlUcHCwSE5OFocOHRKZmZmiZ8+ewsvLS9y6dUtaM2rUKOHp6Sk2bdok9u7dK9q2bSvatWsnzd+/f180bNhQBAQEiP3794t169aJqlWritjY2DLPZ8+ePcLHx0c0btxYvPXWW2aVw7Vr14S3t7cYNmyY2L17tzh58qT4448/xPHjx6U106dPF05OTmLlypXiwIED4qWXXhK1atUSd+/eldZ0795dNGnSROzatUts27ZN+Pr6iv79+5dZHnLE+lQ+WJ8qTg4VqT6x6ZOpGTNmiFq1akmPv/76a+Hi4iLy8vKksfHjx4u6detKj/v27StCQkJ0ttOmTRvxxhtvmD5gA1q3bi2ioqKkxwUFBaJGjRoiPj6+XOJ5kkuXLgkAIi0tTQghRE5OjlCr1WL58uXSmqNHjwoAIj09XQghxLp164SFhYXQaDTSmm+++UY4Ojrq/KxM7ebNm6JOnToiNTVVdO7cWSqq5pLD+PHjRYcOHR47X1hYKDw8PMTMmTOlsZycHGFjYyMWL14shBDiyJEjAoD466+/pDW///67UKlU4vz586YLXoFYn8oe6xPrkxBC8O1dmbpx4wZcXV2lx+np6ejUqROsra2lseDgYBw7dgzXr1+X1gQEBOhsJzg4GOnp6WUT9EPy8/ORkZGhE4+FhQUCAgLKJZ6SuHHjBgBI3/eMjAxotVqdHPz8/ODl5SXlkJ6ejkaNGsHd3V1aExwcjNzcXBw+fLjMYo+KikJISIjez99ccli9ejVatmyJ1157DW5ubmjWrBm+++47af7UqVPQaDQ6eTg5OaFNmzY6eTg7O6Nly5bSmoCAAFhYWGD37t1lkodSsD6VPdYn1ieA5/TJ0vHjx/Hll1/ijTfekMY0Go3Oix6A9Fij0RS7pmi+LF25cgUFBQUVJp4nKSwsxLhx49C+fXs0bNgQwIPvp7W1NZydnXXWPpxDSX4uprZkyRLs27cP8fHxenPmksPJkyfxzTffoE6dOvjjjz8QGRmJsWPHYsGCBTpxFPd60mg0cHNz05m3srKCq6trhXzNmSvWp7LH+sT6VIRNXwX2/vvvQ6VSFfv1zz//6Dzn/Pnz6N69O1577TWMGDGinCJXnqioKBw6dAhLliwp71BK5ezZs3jrrbewcOFC2Nralnc4T62wsBDNmzfHJ598gmbNmmHkyJEYMWIE5s2bV96hyRbrk/lgfSpfFak+WZX5HqnE3n77bQwbNqzYNc8//7z09wsXLqBr165o164d5s+fr7POw8ND74qmosceHh7FrimaL0tVq1aFpaVlhYmnOKNHj8batWuxdetW1KxZUxr38PBAfn4+cnJydH4TfTgHDw8PvSv+Hv25mFJGRgYuXbqE5s2bS2MFBQXYunUrvvrqK/zxxx8VPgcAqF69OurXr68zVq9ePfz88886cWRnZ6N69eo6cTZt2lRac+nSJZ1t3L9/H9euXatwr7mKgPWJ9cnUWJ9MUJ+e4pxEqoDOnTsn6tSpI/r16yfu37+vN190onR+fr40Fhsbq3ei9P/+9z+d5/n7+5fridKjR4+WHhcUFIjnnnuuwpwoXVhYKKKiokSNGjXEv//+qzdfdJLxihUrpLF//vnH4EnGD1/x9+233wpHR0dx7949k+eQm5sr/v77b52vli1bikGDBom///7bLHIQQoj+/fvrnSg9btw44e/vL4T4vxOlP/vsM2n+xo0bBk+U3rt3r7Tmjz/+4IUcRsD6VPZYnypGDkJUrPrEpk8Gzp07J3x9fUW3bt3EuXPnxMWLF6WvIjk5OcLd3V0MHjxYHDp0SCxZskTY2dnp3RLByspKfPbZZ+Lo0aMiLi6u3G+JYGNjI1JSUsSRI0fEyJEjhbOzs85VWOUpMjJSODk5iS1btuh8z+/cuSOtGTVqlPDy8hJ//vmn2Lt3r/D395f+oQvxf7cTCAoKEpmZmWL9+vWiWrVq5XJLhCIPXx0nhHnksGfPHmFlZSU+/vhjkZWVJRYuXCjs7OzETz/9JK2ZPn26cHZ2FqtWrRIHDx4UvXv3NnhLhGbNmondu3eL7du3izp16vCWLc+I9al8sD49UBFyqEj1iU2fDCQnJwsABr8eduDAAdGhQwdhY2MjnnvuOTF9+nS9bS1btky88MILwtraWjRo0ED89ttvZZWGQV9++aXw8vIS1tbWonXr1mLXrl3lGs/DHvc9T05OltbcvXtXvPnmm8LFxUXY2dmJV155Rec/OyGEOH36tOjRo4eoVKmSqFq1qnj77beFVqst42z+z6NF1VxyWLNmjWjYsKGwsbERfn5+Yv78+TrzhYWFYtKkScLd3V3Y2NiIbt26iWPHjumsuXr1qujfv79wcHAQjo6OIiwsTNy8ebMs05Ad1qfywfr0fypCDhWlPqmEEKLkbwYTERERkTni1btERERECsCmj4iIiEgB2PQRERERKQCbPiIiIiIFYNNHREREpABs+oiIiIgUgE0fERERkQKw6SMiIiJSADZ9pDgqlQorV64EAJw+fRoqlQqZmZnlGtPjTJkyBSqVCiqVCnPmzHmmbaWkpEjbGjdunFHiIyLjYn1ifTIlNn2kaJ6enrh48SIaNmxo1O36+Pg8cxEs0qBBA1y8eBEjR458pu28/vrruHjxIvz9/Y0SFxGZFusTGZtVeQdAZAr5+fmwtrZ+4jpLS0t4eHiUQURP7/+1d6chUb17HMC/LmMzzlQqubRMmpqipjlmC2OjQwmKFBq0oEVKWUGIIRi+UFKEohemLZQJRoJISKT5QiqX0qZRs7AZRMUtt0yylFJDkfR3X0SHO38db5r3f//e+X1AmHm288wBvzznPEfH0tJyWeYokUggkUh+67wwxv57OJ/m4nz6e/CdPrYonz9/hpOTE65cuSKU1dXVwcrKCtXV1Ub7ffjwAdHR0bCzs4NUKkVgYCBev34t1Ofm5sLNzQ1WVlbw9PREYWGhQf/+/n5ERkZCJpNhzZo1OHr0KD59+iTUZ2RkwN/fH/n5+diyZQvEYjEAoLOzE8HBwRCLxfD29kZlZaXBuH/dPqmpqYGZmRmqq6sRGBgIa2trKJVKtLe3C326u7sRGRkJR0dHyGQy7Ny5E1VVVUK9Wq1GX18fkpKShO2KX169egWVSgWJRAK5XI7ExER8//79d069ATMzM+Tl5eHAgQOwtraGl5cX6uvr0dXVBbVaDalUCqVSie7u7kWPzdhKxfnE+cT+A2JskcrLy0kkEtGbN29obGyMXF1dKSkpyWj78fFxcnV1JZVKRRqNhjo7O6m4uJjq6uqIiKikpIREIhHdvn2b2tvb6dq1a2RhYUHPnz8nIqKZmRny9/envXv30tu3b6mhoYF27NhBISEhwjHS09NJKpVSeHg4NTU1kV6vp5mZGdq2bRvt37+fdDod1dbWkkKhIABUWlpKREQ9PT0EgN69e0dERC9evCAAtHv3bqqpqaGWlhZSqVSkVCqFY+l0Orp79y41NzdTR0cHpaWlkVgspr6+PiIiGhkZoU2bNlFmZiYNDQ3R0NAQERF1dXWRVCqlnJwc6ujoIK1WSwqFguLi4oyeu/T0dNq+ffuccgC0ceNGKi4upvb2doqKiiIXFxfat28fPX36lFpbW2nPnj0UHh4+p29ISAhduHDB6DEZW8k4nzifmHG86GNLcv78efLw8KCYmBjy9fWlqakpo23z8vJo9erVNDIyMm+9UqmkM2fOGJQdOXKEIiIiiIiooqKCLCwsqL+/X6hvaWkhANTY2EhEP8NHJBLR8PCw0ObZs2dkaWlJg4ODQtmTJ09+K1SrqqqEPuXl5QSAJicnjX5GHx8funXrlvDe2dmZcnJyDNqcPn2azp49a1Cm0WjI3Nzc6NgLhWpaWprwvr6+ngDQvXv3hLIHDx6QWCye05dDlf2/43wyxPnEfuHtXbYkWVlZ+PHjBx4+fIiioiKsWrXKaFudTgeFQgE7O7t569va2hAUFGRQFhQUhLa2NqFeLpdDLpcL9d7e3rCxsRHaAICzszPs7e0NxpXL5diwYYNQ9rsPCfv5+Qmv169fDwAYHh4GAExMTCA5ORleXl6wsbGBTCZDW1sb+vv7FxxTr9ejoKAAMplM+AkLC8Ps7Cx6enp+a17G5ujo6AgA8PX1NSibmprC2NjYosdmbCXjfOJ8YvPjP+RgS9Ld3Y2PHz9idnYWvb29Br/MfyWRSP6WOUml0mUbSyQSCa9/PfMyOzsLAEhOTkZlZSWysrLg7u4OiUSCw4cPY3p6esExJyYmcO7cOSQmJs6p27x587LMcaF5M2YqOJ84n9j8eNHHFm16ehonTpzAsWPH4Onpifj4eDQ3N8PBwWHe9n5+fsjPz8fo6Oi8V9NeXl7QarWIjY0VyrRaLby9vYX6gYEBDAwMCFfTra2t+Pr1q9BmPr/6DQ0NCVfDDQ0NS/7c/z63uLg4HDp0CMDPsOzt7TVoY2VlhZmZGYOygIAAtLa2wt3d/Y/nwBibH+cT5xMzjrd32aKlpqbi27dvuHnzJlJSUuDh4YFTp04ZbR8dHQ0nJydERUVBq9Xi/fv3ePToEerr6wEAFy9eREFBAXJzc9HZ2Yns7GyUlJQgOTkZABAaGgpfX18cP34cTU1NaGxsxMmTJxESEoLAwECjxw0NDYWHhwdiY2Oh1+uh0WiQmpr6x59/69atKCkpgU6ng16vR0xMzJyrVRcXF7x8+RKDg4P48uULACAlJQV1dXVISEiATqdDZ2cnysrKkJCQ8MdzYoz9xPnE+cSM40UfW5Samhpcv34dhYWFWLNmDczNzVFYWAiNRoPc3Nx5+1hZWaGiogIODg6IiIiAr68vrl69CgsLCwBAVFQUbty4gaysLPj4+CAvLw/379+HWq0G8HMboKysDLa2tggODkZoaChcXV1RXFy84FzNzc1RWlqKyclJ7Nq1C/Hx8bh8+fIfn4Ps7GzY2tpCqVTi4MGDCAsLQ0BAgEGbzMxM9Pb2ws3NTXiOx8/PD7W1tejo6IBKpYJCocClS5cMnulhjC0d5xPnE1uYGRHR/3oSjLH5ZWRk4PHjx8v6NUxqtRr+/v7L9h/5GWOmifNp5eE7fYz9wzU3N0Mmk+HOnTt/NE5RURFkMhk0Gs0yzYwxZuo4n1YWvtPH2D/Y6OgoRkdHAQD29vZYu3btkscaHx8XviXAxsYG69atW5Y5MsZME+fTysOLPsYYY4wxE8Dbu4wxxhhjJoAXfYwxxhhjJoAXfYwxxhhjJoAXfYwxxhhjJoAXfYwxxhhjJoAXfYwxxhhjJoAXfYwxxhhjJoAXfYwxxhhjJuBfn4+yX3tWxKwAAAAASUVORK5CYII=", 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" ] @@ -120,11 +116,18 @@ "fig, axarr = plt.subplots(1, 2, figsize=(7, 7))\n", "\n", "ax = axarr[0]\n", - "plot_layout_only(fm, ax=ax)\n", + "layoutviz.plot_turbine_points(fm, ax=ax)\n", + "layoutviz.plot_turbine_labels(fm, ax=ax)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", + "ax.set_ylabel(\"y coordinate [m]\")\n", "ax.set_title(\"Plot with 0-indices\")\n", "\n", "ax = axarr[1]\n", - "plot_layout_only(fm, {\"turbine_names\": turbine_names}, ax=ax)\n", + "layoutviz.plot_turbine_points(fm, ax=ax)\n", + "layoutviz.plot_turbine_labels(fm, ax=ax, turbine_names=turbine_names)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", "ax.set_title(\"Plot with turbine names\")" ] }, @@ -164,7 +167,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -177,7 +180,12 @@ "## Show the basic layout\n", "fig, ax = plt.subplots(figsize=(5, 10))\n", "\n", - "plot_layout_with_waking_directions(fm, ax=ax, limit_dist_D=5)\n", + "layoutviz.plot_turbine_points(fm, ax=ax)\n", + "layoutviz.plot_turbine_labels(fm, ax=ax)\n", + "layoutviz.plot_waking_directions(fm, ax=ax, limit_dist_D=5)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", + "ax.set_ylabel(\"y coordinate [m]\")\n", "fig.suptitle(\"Plot with turbine distances and wake directions\")" ] }, @@ -208,7 +216,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -222,7 +230,11 @@ "layout_y = fm.layout_y\n", "\n", "fig, ax = plt.subplots(figsize=(4, 8))\n", - "plot_layout_only(fm, ax=ax)\n", + "layoutviz.plot_turbine_points(fm, ax=ax)\n", + "layoutviz.plot_turbine_labels(fm, ax=ax)\n", + "ax.grid()\n", + "ax.set_xlabel(\"x coordinate [m]\")\n", + "ax.set_ylabel(\"y coordinate [m]\")\n", "\n", "ax.annotate(\n", " \"Wake-steering turbine\",\n", @@ -278,22 +290,9 @@ "outputs": [ { "data": { + "image/png": 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", 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", - "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -301,8 +300,21 @@ } ], "source": [ - "# Show the power and thrust curves with the layout\n", - "plot_floris_layout(fm, plot_terrain=False)" + "# Show the power and thrust curves for the turbine\n", + "fig, ax = plt.subplots(2,1)\n", + "ax[0].plot(\n", + " fm.core.farm.turbine_map[0].power_thrust_table[\"wind_speed\"],\n", + " fm.core.farm.turbine_map[0].power_thrust_table[\"power\"],\n", + ")\n", + "ax[1].plot(\n", + " fm.core.farm.turbine_map[0].power_thrust_table[\"wind_speed\"],\n", + " fm.core.farm.turbine_map[0].power_thrust_table[\"thrust_coefficient\"],\n", + ")\n", + "ax[1].set_xlabel(\"Wind Speed [m/s]\")\n", + "ax[1].set_ylabel(\"Thrust coefficient [-]\")\n", + "ax[0].set_ylabel(\"Power [kW]\")\n", + "ax[0].grid()\n", + "ax[1].grid()" ] }, { diff --git a/flasc/utilities/utilities_examples.py b/flasc/utilities/utilities_examples.py index ad5a825a..a56e8431 100644 --- a/flasc/utilities/utilities_examples.py +++ b/flasc/utilities/utilities_examples.py @@ -4,10 +4,9 @@ import matplotlib.pyplot as plt import numpy as np +import floris.layout_visualization as layoutviz from floris import FlorisModel, UncertainFlorisModel -from flasc.visualization import plot_floris_layout - def load_floris_smarteole(wake_model="gch", wd_std=0.0): """Load a FlorisModel object for the wind farm at hand. @@ -114,14 +113,18 @@ def load_floris_artificial(wake_model="gch", wd_std=0.0, cosine_exponent=None): if __name__ == "__main__": # Load and time the artificial FLORIS model t0 = timerpc() - fi, turbine_weights = load_floris_artificial() + fm, turbine_weights = load_floris_artificial() print("Time spent to load the FLORIS model (artificial): {:.2f} s.".format(timerpc() - t0)) - plot_floris_layout(fi, plot_terrain=False) + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax) + ax.grid() # Load and time the Smarteole FLORIS model t0 = timerpc() - fi, turbine_weights = load_floris_smarteole() + fm, turbine_weights = load_floris_smarteole() print("Time spent to load the FLORIS model (smarteole): {:.2f} s.".format(timerpc() - t0)) - plot_floris_layout(fi, plot_terrain=False) + ax = layoutviz.plot_turbine_points(fm) + layoutviz.plot_turbine_labels(fm, ax=ax) + ax.grid() plt.show() From f979a588ead26db6cfcd7f88469437cbd2bd7671 Mon Sep 17 00:00:00 2001 From: misi9170 Date: Tue, 9 Apr 2024 10:04:05 -0600 Subject: [PATCH 3/5] Remove unused layout viz functions. --- flasc/visualization.py | 528 ----------------------------------------- 1 file changed, 528 deletions(-) diff --git a/flasc/visualization.py b/flasc/visualization.py index c28f1cb7..a58da77e 100644 --- a/flasc/visualization.py +++ b/flasc/visualization.py @@ -138,70 +138,6 @@ def plot_with_wrapping( return ax -def plot_floris_layout(fm, turbine_names=None, plot_terrain=True): - """Plot the wind farm layout and turbine performance curves for the - floris object of interest. This visualization function includes some - useful checks such as checking which turbine curves are identical, - and then plot those accordingly. It also includes the plotting of - different hub heights through a background colormap. - - Args: - fm (FlorisModel): The FLORIS object - turbine_names (iteratible, optional): List of turbine names, with - each entry being a string. It is recommended that this is something - like one or two letters, and then a number to indicate the turbine. - For example, A01, A02, A03, ... If None is specified, will assume - turbine names T01, T02, T03, .... Defaults to None. To avoid printing - names, specify turbine_names=[]. - plot_terrain (bool, optional): Plot the terrain as a colormap. - Defaults to True. - - Returns: - _type_: _description_ - """ - # Plot turbine configurations - fig = plt.figure(figsize=(16, 8)) - - # Get names if not provided - if turbine_names is None: - turbine_names = generate_labels_with_hub_heights(fm) - - ax = [None, None, None] - ax[0] = fig.add_subplot(121) - - if plot_terrain: - plot_farm_terrain(fm, fig, ax[0]) - - # Generate plotting dictionary based on turbine; plot locations - turbine_types = [t["turbine_type"] for t in fm.core.farm.turbine_definitions] - turbine_types = np.array(turbine_types, dtype="str") - for ti, tt in enumerate(np.unique(turbine_types)): - plotting_dict = { - "turbine_indices": np.array(range(len(fm.layout_x)))[turbine_types == tt], - "turbine_names": turbine_names, - "color": "C%s" % ti, - "label": tt, - } - plot_layout_only(fm, plotting_dict, ax=ax[0]) - ax[0].legend() - ax[0].set_title("Farm layout") - - # Power and thrust curve plots - ax[1] = fig.add_subplot(222) - ax[2] = fig.add_subplot(224) - - # Identify unique power-thrust curves and group turbines accordingly - unique_turbine_types, utt_ids = np.unique(turbine_types, return_index=True) - for ti, (tt, tti) in enumerate(zip(unique_turbine_types, utt_ids)): - pt = fm.core.farm.turbine_definitions[tti]["power_thrust_table"] - - plotting_dict = {"color": "C%s" % ti, "label": tt} - plot_power_curve_only(pt, plotting_dict, ax=ax[1]) - plot_thrust_curve_only(pt, plotting_dict, ax=ax[2]) - - return fig, ax - - def generate_default_labels(fm): labels = ["T{0:02d}".format(ti) for ti in range(len(fm.layout_x))] return labels @@ -215,470 +151,6 @@ def generate_labels_with_hub_heights(fm): return labels -def plot_layout_only(fm, plotting_dict={}, ax=None): - """ - Plot the farm layout. - - Args: - plotting_dict: dictionary of plotting parameters, with the - following (optional) fields and their (default) values: - "turbine_indices" : (range(len(fm.layout_x))) (turbines to - plot, default to all turbines) - "turbine_names" : (["TX" for X in range(len(fm.layout_x)]) - "color" : ("black") - "marker" : (".") - "markersize" : (10) - "label" : (None) (for legend, if desired) - ax: axes to plot on (if None, creates figure and axes) - - Returns: - ax: the current axes for the layout plot - - turbine_names should be a complete list of all turbine names; only - those in turbine_indices will be plotted though. - """ - - # Generate axis, if needed - if ax is None: - fig = plt.figure(figsize=(8, 8)) - ax = fig.add_subplot(111) - - # Generate plotting dictionary - default_plotting_dict = { - "turbine_indices": range(len(fm.layout_x)), - "turbine_names": generate_default_labels(fm), - "color": "black", - "marker": ".", - "markersize": 10, - "label": None, - } - plotting_dict = {**default_plotting_dict, **plotting_dict} - if len(plotting_dict["turbine_names"]) == 0: # empty list provided - plotting_dict["turbine_names"] = [""] * len(fm.layout_x) - - # Plot - ax.plot( - fm.layout_x[plotting_dict["turbine_indices"]], - fm.layout_y[plotting_dict["turbine_indices"]], - marker=plotting_dict["marker"], - markersize=plotting_dict["markersize"], - linestyle="None", - color=plotting_dict["color"], - label=plotting_dict["label"], - ) - - # Add labels to plot, if desired - for ti in plotting_dict["turbine_indices"]: - ax.text(fm.layout_x[ti], fm.layout_y[ti], plotting_dict["turbine_names"][ti]) - - # Plot labels and aesthetics - ax.axis("equal") - ax.grid(True) - ax.set_xlabel("x coordinate (m)") - ax.set_ylabel("y coordinate (m)") - - return ax - - -def plot_power_curve_only(pt, plotting_dict={}, ax=None): - """ - Generate plot of turbine power curve. - - Args: - pt: power-thrust table as a dictionary. Expected to contain - keys "wind_speed" and "power" - plotting_dict: dictionary of plotting parameters, with the - following (optional) fields and their (default) values: - "color" : ("black"), - "linestyle" : ("solid"), - "linewidth" : (2), - "label" : (None) - ax: axes to plot on (if None, creates figure and axes) - - Returns: - ax: the current axes for the power curve plot - """ - # Generate axis, if needed - if ax is None: - fig = plt.figure(figsize=(8, 8)) - ax = fig.add_subplot(111) - - default_plotting_dict = {"color": "black", "linestyle": "solid", "linewidth": 2, "label": None} - plotting_dict = {**default_plotting_dict, **plotting_dict} - - # Plot power and thrust curves for groups of turbines - ax.plot(pt["wind_speed"], pt["power"], **plotting_dict) - ax.set_xlabel("Wind speed (m/s)") - ax.set_ylabel("Power coefficient (-)") - ax.set_xlim([pt["wind_speed"][0], pt["wind_speed"][-1]]) - ax.grid(True) - - return ax - - -def plot_thrust_curve_only(pt, plotting_dict, ax=None): - """ - Generate plot of turbine thrust curve. - - Args: - pt: power-thrust table as a dictionary. Expected to contain - keys "wind_speed" and "thrust_coefficient" - plotting_dict: dictionary of plotting parameters, with the - following (optional) fields and their (default) values: - "color" : ("black"), - "linestyle" : ("solid"), - "linewidth" : (2), - "label" : (None) - ax: axes to plot on (if None, creates figure and axes) - - Returns: - ax: the current axes for the thrust curve plot - """ - - # Generate axis, if needed - if ax is None: - fig = plt.figure(figsize=(8, 8)) - ax = fig.add_subplot(111) - - default_plotting_dict = {"color": "black", "linestyle": "solid", "linewidth": 2, "label": None} - plotting_dict = {**default_plotting_dict, **plotting_dict} - - # Plot power and thrust curves for groups of turbines - ax.plot(pt["wind_speed"], pt["thrust_coefficient"], **plotting_dict) - ax.set_xlabel("Wind speed (m/s)") - ax.set_ylabel("Thrust coefficient (-)") - ax.set_xlim([pt["wind_speed"][0], pt["wind_speed"][-1]]) - ax.grid(True) - - return ax - - -def plot_farm_terrain(fm, fig, ax): - hub_heights = fm.core.farm.hub_heights.flatten() - cntr = ax.tricontourf(fm.layout_x, fm.layout_y, hub_heights, levels=14, cmap="RdBu_r") - - fig.colorbar( - cntr, - ax=ax, - label="Terrain-corrected hub height (m)", - ticks=np.linspace( - np.min(hub_heights) - 10.0, - np.max(hub_heights) + 10.0, - 15, - ), - ) - - -def plot_layout_with_waking_directions( - fm, - layout_plotting_dict={}, - wake_plotting_dict={}, - D=None, - limit_dist_D=None, - limit_dist_m=None, - limit_num=None, - wake_label_size=7, - ax=None, -): - """ - Plot waking directions and distances between turbines. - - Args: - fm: Instantiated FlorisModel object - layout_plotting_dict: dictionary of plotting parameters for - turbine locations. Defaults to the defaults of - plot_layout_only. - wake_plotting_dict: dictionary of plotting parameters for the - waking directions, with the following (optional) fields and - their (default) values: - "color" : ("black"), - "linestyle" : ("solid"), - "linewidth" : (0.5) - D: rotor diameter. Defaults to the rotor diamter of the first - turbine in the Floris object. - limit_dist_D: limit on the distance between turbines to plot, - specified in rotor diamters. - limit_dist_m: limit on the distance between turbines to plot, - specified in meters. If specified, overrides limit_dist_D. - limit_num: limit on number of outgoing neighbors to include. - If specified, only the limit_num closest turbines are - plotted. However, directions already plotted from other - turbines are not considered in the count. - wake_label_size: font size for labels of direction/distance. - ax: axes to plot on (if None, creates figure and axes) - - Returns: - ax: the current axes for the thrust curve plot - """ - - # Combine default plotting options - def_wake_plotting_dict = { - "color": "black", - "linestyle": "solid", - "linewidth": 0.5, - } - wake_plotting_dict = {**def_wake_plotting_dict, **wake_plotting_dict} - - def_layout_plotting_dict = {"turbine_indices": range(len(fm.layout_x))} - layout_plotting_dict = {**def_layout_plotting_dict, **layout_plotting_dict} - - ax = plot_layout_only(fm, plotting_dict=layout_plotting_dict, ax=ax) - - N_turbs = len(fm.core.farm.turbine_definitions) - - if D is None: - D = fm.core.farm.turbine_definitions[0]["rotor_diameter"] - # TODO: build out capability to use multiple diameters, if of interest. - # D = np.array([turb['rotor_diameter'] for turb in - # fm.core.farm.turbine_definitions]) - # else: - # D = D*np.ones(N_turbs) - - dists_m = np.zeros((N_turbs, N_turbs)) - angles_d = np.zeros((N_turbs, N_turbs)) - - for i in range(N_turbs): - for j in range(N_turbs): - dists_m[i, j] = np.linalg.norm( - [fm.layout_x[i] - fm.layout_x[j], fm.layout_y[i] - fm.layout_y[j]] - ) - angles_d[i, j] = wake_angle( - fm.layout_x[i], fm.layout_y[i], fm.layout_x[j], fm.layout_y[j] - ) - - # Mask based on the limit distance (assumed to be in measurement D) - if limit_dist_D is not None and limit_dist_m is None: - limit_dist_m = limit_dist_D * D - if limit_dist_m is not None: - mask = dists_m > limit_dist_m - dists_m[mask] = np.nan - angles_d[mask] = np.nan - - # Handle default limit number case - if limit_num is None: - limit_num = -1 - - # Loop over pairs, plot - label_exists = np.full((N_turbs, N_turbs), False) - for i in range(N_turbs): - for j in range(N_turbs): - # import ipdb; ipdb.set_trace() - if ( - ~np.isnan(dists_m[i, j]) - and dists_m[i, j] != 0.0 - and ~(dists_m[i, j] > np.sort(dists_m[i, :])[limit_num]) - and i in layout_plotting_dict["turbine_indices"] - and j in layout_plotting_dict["turbine_indices"] - ): - (h,) = ax.plot(fm.layout_x[[i, j]], fm.layout_y[[i, j]], **wake_plotting_dict) - - # Only label in one direction - if ~label_exists[i, j]: - linetext = "{0:.1f} D --- {1:.0f}/{2:.0f}".format( - dists_m[i, j] / D, - angles_d[i, j], - angles_d[j, i], - ) - - label_line( - h, - linetext, - ax, - near_i=1, - near_x=None, - near_y=None, - rotation_offset=0, - size=wake_label_size, - ) - - label_exists[i, j] = True - label_exists[j, i] = True - - return ax - - -def wake_angle(x_i, y_i, x_j, y_j): - """ - Get angles between turbines in wake direction - - Args: - x_i: x location of turbine i - y_i: y location of turbine i - x_j: x location of turbine j - y_j: y location of turbine j - - Returns: - wakeAngle (float): angle between turbines relative to compass - """ - wakeAngle = ( - np.arctan2(y_i - y_j, x_i - x_j) * 180.0 / np.pi - ) # Angle in normal cartesian coordinates - - # Convert angle to compass angle - wakeAngle = 270.0 - wakeAngle - if wakeAngle < 0: - wakeAngle = wakeAngle + 360.0 - if wakeAngle > 360: - wakeAngle = wakeAngle - 360.0 - - return wakeAngle - - -def label_line( - line, - label_text, - ax, - near_i=None, - near_x=None, - near_y=None, - rotation_offset=0.0, - offset=(0, 0), - size=7, -): - """ - [summary] - - Args: - line (matplotlib.lines.Line2D): line to label. - label_text (str): label to add to line. - ax (:py:class:`matplotlib.pyplot.axes` optional): figure axes. - near_i (int, optional): Catch line near index i. - Defaults to None. - near_x (float, optional): Catch line near coordinate x. - Defaults to None. - near_y (float, optional): Catch line near coordinate y. - Defaults to None. - rotation_offset (float, optional): label rotation in degrees. - Defaults to 0. - offset (tuple, optional): label offset from turbine location. - Defaults to (0, 0). - size (float): font size. Defaults to 7. - - Raises: - ValueError: ("Need one of near_i, near_x, near_y") raised if - insufficient information is passed in. - """ - - def put_label(i): - """ - Add a label to index. - - Args: - i (int): index to label. - """ - i = min(i, len(x) - 2) - dx = sx[i + 1] - sx[i] - dy = sy[i + 1] - sy[i] - rotation = np.rad2deg(np.arctan2(dy, dx)) + rotation_offset - pos = [(x[i] + x[i + 1]) / 2.0 + offset[0], (y[i] + y[i + 1]) / 2 + offset[1]] - plt.text( - pos[0], - pos[1], - label_text, - size=size, - rotation=rotation, - color=line.get_color(), - ha="center", - va="center", - bbox=dict(ec="1", fc="1", alpha=0.8), - ) - - # extract line data - x = line.get_xdata() - y = line.get_ydata() - - # define screen spacing - if ax.get_xscale() == "log": - sx = np.log10(x) - else: - sx = x - if ax.get_yscale() == "log": - sy = np.log10(y) - else: - sy = y - - # find index - if near_i is not None: - i = near_i - if i < 0: # sanitize negative i - i = len(x) + i - put_label(i) - elif near_x is not None: - for i in range(len(x) - 2): - if (x[i] < near_x and x[i + 1] >= near_x) or (x[i + 1] < near_x and x[i] >= near_x): - put_label(i) - elif near_y is not None: - for i in range(len(y) - 2): - if (y[i] < near_y and y[i + 1] >= near_y) or (y[i + 1] < near_y and y[i] >= near_y): - put_label(i) - else: - raise ValueError("Need one of near_i, near_x, near_y") - - -def shade_region( - points, show_points=False, plotting_dict_region={}, plotting_dict_points={}, ax=None -): - """ - Shade a region defined by a series of vertices (points). - - Args: - points: 2D array of vertices for the shaded region, shape N x 2, - where each row contains a coordinate (x, y) - show_points: Boolean to dictate whether to plot the points as well - as the shaded region - plotting_dict_region: dictionary of plotting parameters for the shaded - region, with the following (optional) fields and their (default) - values: - "color" : ("black") - "edgecolor": (None) - "alpha" : (0.3) - "label" : (None) (for legend, if desired) - plotting_dict_region: dictionary of plotting parameters for the - vertices (points), with the following (optional) fields and their - (default) values: - "color" : "black", - "marker" : (None) - "s" : (10) - "label" : (None) (for legend, if desired) - ax: axes to plot on (if None, creates figure and axes) - - Returns: - ax: the current axes for the layout plot - """ - - # Generate axis, if needed - if ax is None: - fig = plt.figure(figsize=(8, 8)) - ax = fig.add_subplot(111) - - # Generate plotting dictionary - default_plotting_dict_region = { - "color": "black", - "edgecolor": None, - "alpha": 0.3, - "label": None, - } - plotting_dict_region = {**default_plotting_dict_region, **plotting_dict_region} - - ax.fill(points[:, 0], points[:, 1], **plotting_dict_region) - - if show_points: - default_plotting_dict_points = {"color": "black", "marker": ".", "s": 10, "label": None} - plotting_dict_points = {**default_plotting_dict_points, **plotting_dict_points} - - ax.scatter(points[:, 0], points[:, 1], **plotting_dict_points) - - # Plot labels and aesthetics - ax.axis("equal") - ax.grid(True) - ax.set_xlabel("x coordinate (m)") - ax.set_ylabel("y coordinate (m)") - if plotting_dict_region["label"] is not None or plotting_dict_points["label"] is not None: - ax.legend() - - return ax - - def plot_binned_mean_and_ci( x, y, From 49d6d8bea4367366b9c00eab8f4df73c075e34a4 Mon Sep 17 00:00:00 2001 From: misi9170 Date: Tue, 9 Apr 2024 10:05:54 -0600 Subject: [PATCH 4/5] Ruff, format, isort. --- .../00_setup_floris_model/00_visualize_layout.py | 12 +++++++----- .../00_setup_floris_model/01_visualize_flowfield.py | 2 +- .../03_compute_turbine_dependencies.py | 2 +- .../00_analyze_single_ws_vs_range.py | 2 +- .../00_demo_energy_ratio_syntax.ipynb | 2 +- .../01_demo_energy_ratio_options.ipynb | 2 +- .../04_energy_ratio_in_turbine_array.py | 2 +- .../05_estimate_heterogeneity_from_energy_ratios.py | 1 - .../03_energy_ratio/06_wake_steering_example.py | 2 +- .../03_energy_ratio/07_wake_steering_total_uplift.py | 2 +- .../00_tune_floris_to_artificial_data.ipynb | 2 +- .../parameter_estimation/estimate_ti_floris_debug.py | 3 ++- .../sensitivity_analysis_suite.py | 4 +--- .../table_analysis/energy_table_for_two_df.py | 4 +--- examples_smarteole/00_inspect_floris_model.ipynb | 4 ++-- flasc/data_processing/dataframe_manipulations.py | 3 ++- .../energy_ratio_wd_bias_estimation.py | 3 ++- flasc/data_processing/northing_offset.py | 3 ++- flasc/model_fitting/floris_tuning.py | 3 ++- flasc/model_fitting/turbulence_estimator.py | 3 ++- flasc/utilities/optimization.py | 4 +++- flasc/utilities/utilities_examples.py | 2 +- tests/df_filtering_test.py | 3 --- 23 files changed, 36 insertions(+), 34 deletions(-) diff --git a/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py b/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py index a1ee7bc2..5f5f23cd 100644 --- a/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py +++ b/examples_artificial_data/00_setup_floris_model/00_visualize_layout.py @@ -1,6 +1,6 @@ +import floris.layout_visualization as layoutviz import matplotlib.pyplot as plt import numpy as np -import floris.layout_visualization as layoutviz from flasc.utilities.utilities_examples import load_floris_artificial as load_floris @@ -22,13 +22,15 @@ ax.grid() ax.set_xlabel("x coordinate [m]") ax.set_ylabel("y coordinate [m]") - + # Plot using the default names and show the wake directions turbines_to_plot = range(2, len(fm.layout_x)) ax = layoutviz.plot_turbine_points(fm, turbine_indices=turbines_to_plot) - layoutviz.plot_turbine_labels(fm, ax=ax, turbine_indices=turbines_to_plot, turbine_names=turbine_names) + layoutviz.plot_turbine_labels( + fm, ax=ax, turbine_indices=turbines_to_plot, turbine_names=turbine_names + ) layoutviz.plot_waking_directions( - fm, + fm, ax=ax, limit_num=3, wake_plotting_dict={"color": "r"}, @@ -54,7 +56,7 @@ ax.set_ylabel("y coordinate [m]") # Turbine data - fig, ax = plt.subplots(2,1) + fig, ax = plt.subplots(2, 1) ax[0].plot( fm.core.farm.turbine_map[0].power_thrust_table["wind_speed"], fm.core.farm.turbine_map[0].power_thrust_table["power"], diff --git a/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py b/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py index 0ce1c797..cf2bf3ef 100644 --- a/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py +++ b/examples_artificial_data/00_setup_floris_model/01_visualize_flowfield.py @@ -1,6 +1,6 @@ # Copyright 2022 NREL & Shell -import matplotlib.pyplot as plt import floris.layout_visualization as layoutviz +import matplotlib.pyplot as plt from floris.flow_visualization import visualize_cut_plane from flasc.utilities.utilities_examples import load_floris_artificial as load_floris diff --git a/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py b/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py index d471aea5..a719919a 100644 --- a/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py +++ b/examples_artificial_data/00_setup_floris_model/03_compute_turbine_dependencies.py @@ -1,6 +1,6 @@ +import floris.layout_visualization as layoutviz import matplotlib.pyplot as plt import numpy as np -import floris.layout_visualization as layoutviz from flasc.utilities import floris_tools as fsatools from flasc.utilities.utilities_examples import load_floris_artificial as load_floris diff --git a/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py b/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py index def6585c..7c824a72 100644 --- a/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py +++ b/examples_artificial_data/02_wake_steering_design/00_analyze_single_ws_vs_range.py @@ -1,7 +1,7 @@ +import floris.layout_visualization as layoutviz import numpy as np from _local_helper_functions import evaluate_optimal_yaw_angles, optimize_yaw_angles from matplotlib import pyplot as plt -import floris.layout_visualization as layoutviz from flasc.utilities.lookup_table_tools import get_yaw_angles_interpolant from flasc.utilities.utilities_examples import load_floris_artificial as load_floris diff --git a/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb b/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb index 00974e33..04fd297f 100644 --- a/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb +++ b/examples_artificial_data/03_energy_ratio/00_demo_energy_ratio_syntax.ipynb @@ -25,11 +25,11 @@ "source": [ "from pathlib import Path\n", "\n", + "import floris.layout_visualization as layoutviz\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", - "import floris.layout_visualization as layoutviz\n", "from floris import FlorisModel\n", "\n", "from flasc.analysis import energy_ratio as erp\n", diff --git a/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb b/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb index 5f0bacde..0f664a4d 100644 --- a/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb +++ b/examples_artificial_data/03_energy_ratio/01_demo_energy_ratio_options.ipynb @@ -23,10 +23,10 @@ "source": [ "from pathlib import Path\n", "\n", + "import floris.layout_visualization as layoutviz\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", - "import floris.layout_visualization as layoutviz\n", "from floris import FlorisModel\n", "\n", "from flasc.analysis import energy_ratio as erp\n", diff --git a/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py b/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py index f654ebeb..2a32fdaf 100644 --- a/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py +++ b/examples_artificial_data/03_energy_ratio/04_energy_ratio_in_turbine_array.py @@ -1,9 +1,9 @@ import os +import floris.layout_visualization as layoutviz import matplotlib.pyplot as plt import numpy as np import pandas as pd -import floris.layout_visualization as layoutviz from floris.flow_visualization import visualize_cut_plane from floris.utilities import wrap_360 diff --git a/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py b/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py index cba84174..ae620b1e 100644 --- a/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py +++ b/examples_artificial_data/03_energy_ratio/05_estimate_heterogeneity_from_energy_ratios.py @@ -7,7 +7,6 @@ from flasc.analysis.energy_ratio_heterogeneity_mapper import heterogeneity_mapper from flasc.data_processing import dataframe_manipulations as dfm from flasc.utilities import floris_tools as ftools - from flasc.utilities.utilities_examples import load_floris_artificial as load_floris diff --git a/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py b/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py index e843e84d..0119ff8c 100644 --- a/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py +++ b/examples_artificial_data/03_energy_ratio/06_wake_steering_example.py @@ -1,8 +1,8 @@ +import floris.layout_visualization as layoutviz import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns -import floris.layout_visualization as layoutviz from flasc.analysis import energy_ratio as er from flasc.analysis.energy_ratio_input import EnergyRatioInput diff --git a/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py b/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py index 17982089..287aae72 100644 --- a/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py +++ b/examples_artificial_data/03_energy_ratio/07_wake_steering_total_uplift.py @@ -1,7 +1,7 @@ +import floris.layout_visualization as layoutviz import matplotlib.pyplot as plt import numpy as np import pandas as pd -import floris.layout_visualization as layoutviz from flasc.analysis import total_uplift as tup from flasc.analysis.energy_ratio_input import EnergyRatioInput diff --git a/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb b/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb index f7fed4fd..01a4b89f 100644 --- a/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb +++ b/examples_artificial_data/04_floris_tuning/00_tune_floris_to_artificial_data.ipynb @@ -10,10 +10,10 @@ "import warnings\n", "from pathlib import Path\n", "\n", + "import floris.layout_visualization as layoutviz\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", - "import floris.layout_visualization as layoutviz\n", "from floris import FlorisModel\n", "\n", "import flasc.model_fitting.floris_tuning as ft\n", diff --git a/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py b/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py index 9abe12d8..b798fd9d 100644 --- a/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py +++ b/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py @@ -5,7 +5,8 @@ import matplotlib.pyplot as plt import numpy as np -from flasc.utilities import floris_tools as ftools, turbulence_estimator as fsatiestimator +from flasc.utilities import floris_tools as ftools +from flasc.utilities import turbulence_estimator as fsatiestimator if __name__ == "__main__": # Initialize the FLORIS interface fi diff --git a/examples_artificial_data/_legacy/sensitivity_analysis/sensitivity_analysis_suite.py b/examples_artificial_data/_legacy/sensitivity_analysis/sensitivity_analysis_suite.py index 95ca9ed1..eae49435 100644 --- a/examples_artificial_data/_legacy/sensitivity_analysis/sensitivity_analysis_suite.py +++ b/examples_artificial_data/_legacy/sensitivity_analysis/sensitivity_analysis_suite.py @@ -7,9 +7,7 @@ import numpy as np import pandas as pd -from flasc.model_estimation.floris_sensitivity_analysis import ( - floris_sobol_analysis, -) +from flasc.model_estimation.floris_sensitivity_analysis import floris_sobol_analysis def _save_pickle(dict_in, fn): diff --git a/examples_artificial_data/_legacy/table_analysis/energy_table_for_two_df.py b/examples_artificial_data/_legacy/table_analysis/energy_table_for_two_df.py index bb91f896..02544a2f 100644 --- a/examples_artificial_data/_legacy/table_analysis/energy_table_for_two_df.py +++ b/examples_artificial_data/_legacy/table_analysis/energy_table_for_two_df.py @@ -5,9 +5,7 @@ from floris.utilities import wrap_360 from flasc.analysis import energy_ratio_suite -from flasc.data_processing import ( - dataframe_manipulations as dfm, -) +from flasc.data_processing import dataframe_manipulations as dfm from flasc.utilities import floris_tools as fsatools from flasc.utilities.utilities_examples import load_floris_artificial as load_floris diff --git a/examples_smarteole/00_inspect_floris_model.ipynb b/examples_smarteole/00_inspect_floris_model.ipynb index 709fe5cb..eb1ec2bf 100644 --- a/examples_smarteole/00_inspect_floris_model.ipynb +++ b/examples_smarteole/00_inspect_floris_model.ipynb @@ -32,9 +32,9 @@ "metadata": {}, "outputs": [], "source": [ + "import floris.layout_visualization as layoutviz\n", "import matplotlib.pyplot as plt\n", "from floris.flow_visualization import visualize_cut_plane\n", - "import floris.layout_visualization as layoutviz\n", "\n", "from flasc.utilities.utilities_examples import load_floris_smarteole as load_floris" ] @@ -301,7 +301,7 @@ ], "source": [ "# Show the power and thrust curves for the turbine\n", - "fig, ax = plt.subplots(2,1)\n", + "fig, ax = plt.subplots(2, 1)\n", "ax[0].plot(\n", " fm.core.farm.turbine_map[0].power_thrust_table[\"wind_speed\"],\n", " fm.core.farm.turbine_map[0].power_thrust_table[\"power\"],\n", diff --git a/flasc/data_processing/dataframe_manipulations.py b/flasc/data_processing/dataframe_manipulations.py index 7e451097..186f3088 100644 --- a/flasc/data_processing/dataframe_manipulations.py +++ b/flasc/data_processing/dataframe_manipulations.py @@ -9,7 +9,8 @@ import pandas as pd from floris.utilities import wrap_360 -from flasc.utilities import floris_tools as ftools, utilities as fsut +from flasc.utilities import floris_tools as ftools +from flasc.utilities import utilities as fsut # Functions related to wind farm analysis for df diff --git a/flasc/data_processing/energy_ratio_wd_bias_estimation.py b/flasc/data_processing/energy_ratio_wd_bias_estimation.py index 4d122f09..b9ebdfeb 100644 --- a/flasc/data_processing/energy_ratio_wd_bias_estimation.py +++ b/flasc/data_processing/energy_ratio_wd_bias_estimation.py @@ -5,7 +5,8 @@ import numpy as np import pandas as pd from floris.utilities import wrap_360 -from scipy import optimize as opt, stats as spst +from scipy import optimize as opt +from scipy import stats as spst from flasc.analysis import energy_ratio as er from flasc.analysis.energy_ratio_input import EnergyRatioInput diff --git a/flasc/data_processing/northing_offset.py b/flasc/data_processing/northing_offset.py index eeb5dc00..5c909f3a 100644 --- a/flasc/data_processing/northing_offset.py +++ b/flasc/data_processing/northing_offset.py @@ -18,7 +18,8 @@ import pandas as pd from floris.utilities import wrap_360 -from flasc.utilities import floris_tools as ftools, optimization as opt +from flasc.utilities import floris_tools as ftools +from flasc.utilities import optimization as opt def crosscheck_northing_offset_consistency( diff --git a/flasc/model_fitting/floris_tuning.py b/flasc/model_fitting/floris_tuning.py index 8e73a120..07771bc2 100644 --- a/flasc/model_fitting/floris_tuning.py +++ b/flasc/model_fitting/floris_tuning.py @@ -23,7 +23,8 @@ import polars as pl import flasc.utilities.floris_tools as ftools -from flasc.analysis import energy_ratio as er, total_uplift as tup +from flasc.analysis import energy_ratio as er +from flasc.analysis import total_uplift as tup from flasc.analysis.energy_ratio_input import EnergyRatioInput from flasc.utilities.energy_ratio_utilities import add_power_ref, add_power_test from flasc.utilities.tuner_utilities import replicate_nan_values, resim_floris, set_fm_param diff --git a/flasc/model_fitting/turbulence_estimator.py b/flasc/model_fitting/turbulence_estimator.py index 2319ceba..44213685 100644 --- a/flasc/model_fitting/turbulence_estimator.py +++ b/flasc/model_fitting/turbulence_estimator.py @@ -3,7 +3,8 @@ import numpy as np import pandas as pd -from flasc.utilities import floris_tools as ftools, optimization as opt +from flasc.utilities import floris_tools as ftools +from flasc.utilities import optimization as opt class ti_estimator: diff --git a/flasc/utilities/optimization.py b/flasc/utilities/optimization.py index 28f2fd11..fcceb0a8 100644 --- a/flasc/utilities/optimization.py +++ b/flasc/utilities/optimization.py @@ -8,7 +8,9 @@ from pandas.errors import DataError from flasc.data_processing import time_operations as fsato -from flasc.utilities import circular_statistics as css, floris_tools as ftools, utilities as fsut +from flasc.utilities import circular_statistics as css +from flasc.utilities import floris_tools as ftools +from flasc.utilities import utilities as fsut def find_timeshift_between_dfs( diff --git a/flasc/utilities/utilities_examples.py b/flasc/utilities/utilities_examples.py index a56e8431..3b13fc77 100644 --- a/flasc/utilities/utilities_examples.py +++ b/flasc/utilities/utilities_examples.py @@ -2,9 +2,9 @@ from pathlib import Path from time import perf_counter as timerpc +import floris.layout_visualization as layoutviz import matplotlib.pyplot as plt import numpy as np -import floris.layout_visualization as layoutviz from floris import FlorisModel, UncertainFlorisModel diff --git a/tests/df_filtering_test.py b/tests/df_filtering_test.py index 0b0b7c51..c61e9b61 100644 --- a/tests/df_filtering_test.py +++ b/tests/df_filtering_test.py @@ -162,6 +162,3 @@ def test_impacting_filtering(self): ) self.assertTrue(df[["pow_000", "pow_001", "pow_005", "pow_006"]].isna().all().all()) # NaN self.assertTrue(~df[["pow_002", "pow_003", "pow_004"]].isna().any().any()) # Non-NaN - - # plot_layout_only(fi) - # plt.show() From 9de9bf000b6cab683f8e80cf8005653a4a43e9ea Mon Sep 17 00:00:00 2001 From: misi9170 Date: Tue, 9 Apr 2024 10:25:42 -0600 Subject: [PATCH 5/5] Ruff, isort, and ruff format seem to be fighting. --- .../_legacy/parameter_estimation/estimate_ti_floris_debug.py | 3 +-- flasc/data_processing/dataframe_manipulations.py | 3 +-- flasc/data_processing/energy_ratio_wd_bias_estimation.py | 3 +-- flasc/data_processing/northing_offset.py | 3 +-- flasc/model_fitting/floris_tuning.py | 3 +-- flasc/model_fitting/turbulence_estimator.py | 3 +-- flasc/utilities/optimization.py | 4 +--- 7 files changed, 7 insertions(+), 15 deletions(-) diff --git a/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py b/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py index b798fd9d..9abe12d8 100644 --- a/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py +++ b/examples_artificial_data/_legacy/parameter_estimation/estimate_ti_floris_debug.py @@ -5,8 +5,7 @@ import matplotlib.pyplot as plt import numpy as np -from flasc.utilities import floris_tools as ftools -from flasc.utilities import turbulence_estimator as fsatiestimator +from flasc.utilities import floris_tools as ftools, turbulence_estimator as fsatiestimator if __name__ == "__main__": # Initialize the FLORIS interface fi diff --git a/flasc/data_processing/dataframe_manipulations.py b/flasc/data_processing/dataframe_manipulations.py index 186f3088..7e451097 100644 --- a/flasc/data_processing/dataframe_manipulations.py +++ b/flasc/data_processing/dataframe_manipulations.py @@ -9,8 +9,7 @@ import pandas as pd from floris.utilities import wrap_360 -from flasc.utilities import floris_tools as ftools -from flasc.utilities import utilities as fsut +from flasc.utilities import floris_tools as ftools, utilities as fsut # Functions related to wind farm analysis for df diff --git a/flasc/data_processing/energy_ratio_wd_bias_estimation.py b/flasc/data_processing/energy_ratio_wd_bias_estimation.py index b9ebdfeb..4d122f09 100644 --- a/flasc/data_processing/energy_ratio_wd_bias_estimation.py +++ b/flasc/data_processing/energy_ratio_wd_bias_estimation.py @@ -5,8 +5,7 @@ import numpy as np import pandas as pd from floris.utilities import wrap_360 -from scipy import optimize as opt -from scipy import stats as spst +from scipy import optimize as opt, stats as spst from flasc.analysis import energy_ratio as er from flasc.analysis.energy_ratio_input import EnergyRatioInput diff --git a/flasc/data_processing/northing_offset.py b/flasc/data_processing/northing_offset.py index 5c909f3a..eeb5dc00 100644 --- a/flasc/data_processing/northing_offset.py +++ b/flasc/data_processing/northing_offset.py @@ -18,8 +18,7 @@ import pandas as pd from floris.utilities import wrap_360 -from flasc.utilities import floris_tools as ftools -from flasc.utilities import optimization as opt +from flasc.utilities import floris_tools as ftools, optimization as opt def crosscheck_northing_offset_consistency( diff --git a/flasc/model_fitting/floris_tuning.py b/flasc/model_fitting/floris_tuning.py index 07771bc2..8e73a120 100644 --- a/flasc/model_fitting/floris_tuning.py +++ b/flasc/model_fitting/floris_tuning.py @@ -23,8 +23,7 @@ import polars as pl import flasc.utilities.floris_tools as ftools -from flasc.analysis import energy_ratio as er -from flasc.analysis import total_uplift as tup +from flasc.analysis import energy_ratio as er, total_uplift as tup from flasc.analysis.energy_ratio_input import EnergyRatioInput from flasc.utilities.energy_ratio_utilities import add_power_ref, add_power_test from flasc.utilities.tuner_utilities import replicate_nan_values, resim_floris, set_fm_param diff --git a/flasc/model_fitting/turbulence_estimator.py b/flasc/model_fitting/turbulence_estimator.py index 44213685..2319ceba 100644 --- a/flasc/model_fitting/turbulence_estimator.py +++ b/flasc/model_fitting/turbulence_estimator.py @@ -3,8 +3,7 @@ import numpy as np import pandas as pd -from flasc.utilities import floris_tools as ftools -from flasc.utilities import optimization as opt +from flasc.utilities import floris_tools as ftools, optimization as opt class ti_estimator: diff --git a/flasc/utilities/optimization.py b/flasc/utilities/optimization.py index fcceb0a8..28f2fd11 100644 --- a/flasc/utilities/optimization.py +++ b/flasc/utilities/optimization.py @@ -8,9 +8,7 @@ from pandas.errors import DataError from flasc.data_processing import time_operations as fsato -from flasc.utilities import circular_statistics as css -from flasc.utilities import floris_tools as ftools -from flasc.utilities import utilities as fsut +from flasc.utilities import circular_statistics as css, floris_tools as ftools, utilities as fsut def find_timeshift_between_dfs(